05 Weather Station.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------------------------------\n",
      "Time: 2020-12-09 22:46:51\n",
      "-------------------------------------------\n",
      "{'geohash': '9qd', 'mean': 52.493380242360395, 'M2': 2006319.0985338576}\n",
      "{'geohash': '9qf', 'mean': 75.3640716152061, 'M2': 1505761.8041939298}\n",
      "{'geohash': '9q9', 'mean': 48.39858237632797, 'M2': 2036425.6323099965}\n",
      "{'geohash': '9qb', 'mean': 111.466648506333, 'M2': 1131647.5225550227}\n",
      "{'geohash': '9qc', 'mean': 69.64653347655315, 'M2': 1737245.7663848791}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "ssc.stop(stopSparkContext=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pyspark.sql.functions as F\n",
    "from  pyspark.sql.functions import udf\n",
    "from pyspark.sql import DataFrame\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyspark.streaming import StreamingContext\n",
    "# The \"1\" here is the number of seconds between microbatches:\n",
    "ssc = StreamingContext(sc, 1)\n",
    "\n",
    "# Required to be able to do state updates:\n",
    "ssc.checkpoint(\"checkpoint\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Assumes the stream is running on the same machine as the driver.\n",
    "# That's not very common, so you'll probably change 'localhost'\n",
    "# to something else.\n",
    "sock = ssc.socketTextStream(\"orion03\", 37600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "__base32 = '0123456789bcdefghjkmnpqrstuvwxyz'\n",
    "def encode(latitude, longitude, precision=12):\n",
    "    \"\"\"\n",
    "    Encode a position given in float arguments latitude, longitude to\n",
    "    a geohash which will have the character count precision.\n",
    "    \"\"\"\n",
    "    lat_interval = (-90.0, 90.0)\n",
    "    lon_interval = (-180.0, 180.0)\n",
    "    geohash = []\n",
    "    bits = [16, 8, 4, 2, 1]\n",
    "    bit = 0\n",
    "    ch = 0\n",
    "    even = True\n",
    "    while len(geohash) < precision:\n",
    "        if even:\n",
    "            mid = (lon_interval[0] + lon_interval[1]) / 2\n",
    "            if longitude > mid:\n",
    "                ch |= bits[bit]\n",
    "                lon_interval = (mid, lon_interval[1])\n",
    "            else:\n",
    "                lon_interval = (lon_interval[0], mid)\n",
    "        else:\n",
    "            mid = (lat_interval[0] + lat_interval[1]) / 2\n",
    "            if latitude > mid:\n",
    "                ch |= bits[bit]\n",
    "                lat_interval = (mid, lat_interval[1])\n",
    "            else:\n",
    "                lat_interval = (lat_interval[0], mid)\n",
    "        even = not even\n",
    "        if bit < 4:\n",
    "            bit += 1\n",
    "        else:\n",
    "            geohash += __base32[ch]\n",
    "            bit = 0\n",
    "            ch = 0\n",
    "    return ''.join(geohash)\n",
    "\n",
    "def getLatLong(words):\n",
    "    words.append(encode(float(words[1]),float(words[2]),3))\n",
    "    return words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "features = {'temperature': 10,\n",
    "                   'pressure': 6,\n",
    "                   'humidity': 8,\n",
    "                   'precipitation': 13,\n",
    "                   'visibility': 15,\n",
    "                   'wind speed': 17}\n",
    "geo_hashes = ['9qb', '9qc', '9qf', '9q9' , '9qd']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getReqdFields(words):\n",
    "    '''\n",
    "    geohash - 18, surface temperature 10, pressure 6, humidity 8, precipitation 13, visibility 15, wind speed 17\n",
    "    '''\n",
    "#     fields = [float(words[10]),float(words[6]),float(words[8]),float(words[13]),float(words[15]),float(words[17]), words[18]]\n",
    "    fields = [(1,float(words[10]),0),float(words[6]),float(words[8]),float(words[13]),float(words[15]),float(words[17])]\n",
    "    fields = [(1,float(words[10]),0),(1,float(words[6]),0),(1,float(words[8]),0),(1,float(words[13]),0),(1,float(words[15]),0),(1,float(words[17]),0)]\n",
    "    dict = {\n",
    "        \"temperature\" :float(words[10]),\n",
    "        'pressure': float(words[6]),\n",
    "        'humidity': float(words[8]),\n",
    "        'precipitation': float(words[13]),\n",
    "        'visibility': float(words[15]),\n",
    "        'wind speed': float(words[17])\n",
    "    }\n",
    "#     fields = [words[10],words[18]]\n",
    "    return (words[18],fields)\n",
    "#     return (words[18],dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "def update(existingAggregate, newValue):\n",
    "    (count1, mean1, M2_1) = existingAggregate\n",
    "    (count2, mean2, M2_2) = newValue\n",
    "    \n",
    "    if mean1 == 'null':\n",
    "        mean1 = 0.0\n",
    "        \n",
    "    if mean2 == 'null':\n",
    "        mean2 = 0.0\n",
    "        \n",
    "    count1 = int(count1)\n",
    "    count1 += int(count2)\n",
    "    delta = mean2 - mean1\n",
    "    mean1 += delta / count1\n",
    "    delta2 = mean2 - mean1\n",
    "    M2_1 += delta * delta2\n",
    "    return (count1, mean1, M2_1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "def computeVal(new, old):\n",
    "    newList = []\n",
    "    if old is None:\n",
    "        old = [(0,0,0),(0,0,0),(0,0,0),(0,0,0),(0,0,0),(0,0,0)]\n",
    "    if new is None:\n",
    "        new = [(0,0,0),(0,0,0),(0,0,0),(0,0,0),(0,0,0),(0,0,0)]\n",
    "        \n",
    "    for i in range(6):\n",
    "        newAggr = update(old[i], new[i])\n",
    "        newList.append(newAggr)\n",
    "\n",
    "    return newList"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "def computeVal2(newValuesList, existAgg):\n",
    "    if not existAgg:\n",
    "        existAgg = [(0,0,0),(0,0,0),(0,0,0),(0,0,0),(0,0,0),(0,0,0)]\n",
    "\n",
    "    for newValues in newValuesList:\n",
    "        for i in range(6):\n",
    "            existAgg[i] = update(existAgg[i], newValues[i])\n",
    "            \n",
    "    return existAgg\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_distribution(rdd):\n",
    "    df = pd.DataFrame(rdd.collect(), columns=['geohash','temperature'])\n",
    "    df.sort_values('geohash', ascending=True).plot(kind='bar', x='geohash', color='red')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_distribution2(rdd):\n",
    "    df = pd.DataFrame(rdd.collect(), columns=['geohash','pressure'])\n",
    "    df.sort_values('geohash', ascending=True).plot(kind='bar', x='geohash', color='blue')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_distribution3(rdd):\n",
    "    df = pd.DataFrame(rdd.collect(), columns=['geohash','humidity'])\n",
    "    df.sort_values('geohash', ascending=True).plot(kind='bar', x='geohash', color='green')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_distribution4(rdd):\n",
    "    df = pd.DataFrame(rdd.collect(), columns=['geohash','precipitation'])\n",
    "    df.sort_values('geohash', ascending=True).plot(kind='bar', x='geohash', color='cyan')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_distribution5(rdd):\n",
    "    df = pd.DataFrame(rdd.collect(), columns=['geohash','visibility'])\n",
    "    df.sort_values('geohash', ascending=True).plot(kind='bar', x='geohash', color='orange')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_distribution6(rdd):\n",
    "    df = pd.DataFrame(rdd.collect(), columns=['geohash','wind speed'])\n",
    "    df.sort_values('geohash', ascending=True).plot(kind='bar', x='geohash', color='teal')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------------------------------\n",
      "Time: 2020-12-09 23:08:10\n",
      "-------------------------------------------\n",
      "{'geohash': '9qd', 'temperature': 94.22139555555556, 'M2': 53266.0282826188}\n",
      "{'geohash': '9q9', 'temperature': 93.26694666666667, 'M2': 52192.34004313706}\n",
      "{'geohash': '9qb', 'temperature': 277.77417, 'M2': 0.0}\n",
      "\n",
      "-------------------------------------------\n",
      "Time: 2020-12-09 23:08:11\n",
      "-------------------------------------------\n",
      "{'geohash': '9qd', 'temperature': 107.60127945767196, 'M2': 85847.90365122746}\n",
      "{'geohash': '9qf', 'temperature': 15.995929740441708, 'M2': 69596.57696703213}\n",
      "{'geohash': '9q9', 'temperature': 104.92814299903847, 'M2': 84828.38001964623}\n",
      "{'geohash': '9qb', 'temperature': 278.1117893055556, 'M2': 15.046257003863454}\n",
      "{'geohash': '9qc', 'temperature': 25.399975841081275, 'M2': 70967.46500002636}\n",
      "\n",
      "-------------------------------------------\n",
      "Time: 2020-12-09 23:08:12\n",
      "-------------------------------------------\n",
      "{'geohash': '9qd', 'temperature': 112.7402131822264, 'M2': 122978.45124568781}\n",
      "{'geohash': '9qf', 'temperature': 23.26814274374341, 'M2': 147972.26843974067}\n",
      "{'geohash': '9q9', 'temperature': 110.24001105182127, 'M2': 124499.99476715154}\n",
      "{'geohash': '9qb', 'temperature': 278.5114676207086, 'M2': 227.8236074677496}\n",
      "{'geohash': '9qc', 'temperature': 33.776791623791354, 'M2': 149699.3748616972}\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------------------------------\n",
      "Time: 2020-12-09 23:08:13\n",
      "-------------------------------------------\n",
      "{'geohash': '9qd', 'temperature': 116.06753815106408, 'M2': 151209.7344387272}\n",
      "{'geohash': '9qf', 'temperature': 28.206671954892474, 'M2': 210164.39890164082}\n",
      "{'geohash': '9q9', 'temperature': 113.42552343372759, 'M2': 154638.0374989286}\n",
      "{'geohash': '9qb', 'temperature': 278.65191532626574, 'M2': 293.03630220342677}\n",
      "{'geohash': '9qc', 'temperature': 39.387491827325505, 'M2': 212029.68927409485}\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------------------------------\n",
      "Time: 2020-12-09 23:08:14\n",
      "-------------------------------------------\n",
      "{'geohash': '9qd', 'temperature': 118.43313012677477, 'M2': 182267.6753840117}\n",
      "{'geohash': '9qf', 'temperature': 31.81379605549517, 'M2': 276678.39084642555}\n",
      "{'geohash': '9q9', 'temperature': 115.88609254907732, 'M2': 190068.38847243713}\n",
      "{'geohash': '9qb', 'temperature': 278.84260143676306, 'M2': 517.0939718463768}\n",
      "{'geohash': '9qc', 'temperature': 42.879346436386996, 'M2': 274360.5537726269}\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------------------------------\n",
      "Time: 2020-12-09 23:08:15\n",
      "-------------------------------------------\n",
      "{'geohash': '9qd', 'temperature': 120.24230240967368, 'M2': 214671.4084411876}\n",
      "{'geohash': '9qf', 'temperature': 34.60067459047054, 'M2': 346034.9501269741}\n",
      "{'geohash': '9q9', 'temperature': 117.69404607913792, 'M2': 222428.478544337}\n",
      "{'geohash': '9qb', 'temperature': 278.90440539742855, 'M2': 558.8054185754326}\n",
      "{'geohash': '9qc', 'temperature': 45.301891943178745, 'M2': 333634.69377064373}\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------------------------------\n",
      "Time: 2020-12-09 23:08:16\n",
      "-------------------------------------------\n",
      "{'geohash': '9qd', 'temperature': 120.24230240967368, 'M2': 214671.4084411876}\n",
      "{'geohash': '9qf', 'temperature': 34.60067459047054, 'M2': 346034.9501269741}\n",
      "{'geohash': '9q9', 'temperature': 117.69404607913792, 'M2': 222428.478544337}\n",
      "{'geohash': '9qb', 'temperature': 278.90440539742855, 'M2': 558.8054185754326}\n",
      "{'geohash': '9qc', 'temperature': 45.301891943178745, 'M2': 333634.69377064373}\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------------------------------\n",
      "Time: 2020-12-09 23:08:17\n",
      "-------------------------------------------\n",
      "{'geohash': '9qd', 'temperature': 121.8047801085878, 'M2': 239328.9076931877}\n",
      "{'geohash': '9qf', 'temperature': 36.97052376131608, 'M2': 399422.40561682364}\n",
      "{'geohash': '9q9', 'temperature': 119.21872427254435, 'M2': 246851.18413711313}\n",
      "{'geohash': '9qb', 'temperature': 278.9579727993396, 'M2': 590.7425812491092}\n",
      "{'geohash': '9qc', 'temperature': 47.482891956545615, 'M2': 384589.1182272207}\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------------------------------\n",
      "Time: 2020-12-09 23:08:18\n",
      "-------------------------------------------\n",
      "{'geohash': '9qd', 'temperature': 122.9728795820448, 'M2': 262565.59984272305}\n",
      "{'geohash': '9qf', 'temperature': 38.760344632631146, 'M2': 453144.40887771815}\n",
      "{'geohash': '9q9', 'temperature': 120.42272154860598, 'M2': 271538.03291332105}\n",
      "{'geohash': '9qb', 'temperature': 278.9867097474959, 'M2': 604.3783921195054}\n",
      "{'geohash': '9qc', 'temperature': 49.261095825507084, 'M2': 436800.21082844323}\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------------------------------\n",
      "Time: 2020-12-09 23:08:19\n",
      "-------------------------------------------\n",
      "{'geohash': '9qd', 'temperature': 123.96107099224893, 'M2': 286177.90816692944}\n",
      "{'geohash': '9qf', 'temperature': 40.165300457440765, 'M2': 505267.2352421313}\n",
      "{'geohash': '9q9', 'temperature': 121.41186754858983, 'M2': 296428.7784615075}\n",
      "{'geohash': '9qb', 'temperature': 279.0127453228151, 'M2': 621.1931685451417}\n",
      "{'geohash': '9qc', 'temperature': 50.76222910770205, 'M2': 489205.307528966}\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------------------------------\n",
      "Time: 2020-12-09 23:08:20\n",
      "-------------------------------------------\n",
      "{'geohash': '9qd', 'temperature': 124.81343294120641, 'M2': 308300.4693292612}\n",
      "{'geohash': '9qf', 'temperature': 41.410884901618125, 'M2': 556940.8483580785}\n",
      "{'geohash': '9q9', 'temperature': 122.30617383318538, 'M2': 321343.6412392496}\n",
      "{'geohash': '9qb', 'temperature': 279.0300418979828, 'M2': 630.5129595035858}\n",
      "{'geohash': '9qc', 'temperature': 52.090146428083074, 'M2': 540466.3109209194}\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------------------------------\n",
      "Time: 2020-12-09 23:08:21\n",
      "-------------------------------------------\n",
      "{'geohash': '9qd', 'temperature': 125.63781967726933, 'M2': 332705.38977658097}\n",
      "{'geohash': '9qf', 'temperature': 42.57979499071222, 'M2': 613524.1675380144}\n",
      "{'geohash': '9q9', 'temperature': 123.2109931434373, 'M2': 351681.31374194106}\n",
      "{'geohash': '9qb', 'temperature': 279.09446108420644, 'M2': 787.5010871806294}\n",
      "{'geohash': '9qc', 'temperature': 53.40824462975086, 'M2': 602198.9990307498}\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------------------------------\n",
      "Time: 2020-12-09 23:08:22\n",
      "-------------------------------------------\n",
      "{'geohash': '9qd', 'temperature': 126.56288802764232, 'M2': 365078.46723834216}\n",
      "{'geohash': '9qf', 'temperature': 43.84808307328158, 'M2': 681453.4308461768}\n",
      "{'geohash': '9q9', 'temperature': 124.09691185460932, 'M2': 382606.05078037066}\n",
      "{'geohash': '9qb', 'temperature': 279.16277461115067, 'M2': 975.1039533158333}\n",
      "{'geohash': '9qc', 'temperature': 54.71517469244313, 'M2': 664837.2023052799}\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------------------------------\n",
      "Time: 2020-12-09 23:08:23\n",
      "-------------------------------------------\n",
      "{'geohash': '9qd', 'temperature': 126.56288802764232, 'M2': 365078.46723834216}\n",
      "{'geohash': '9qf', 'temperature': 43.84808307328158, 'M2': 681453.4308461768}\n",
      "{'geohash': '9q9', 'temperature': 124.09691185460932, 'M2': 382606.05078037066}\n",
      "{'geohash': '9qb', 'temperature': 279.16277461115067, 'M2': 975.1039533158333}\n",
      "{'geohash': '9qc', 'temperature': 54.71517469244313, 'M2': 664837.2023052799}\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------------------------------\n",
      "Time: 2020-12-09 23:08:24\n",
      "-------------------------------------------\n",
      "{'geohash': '9qd', 'temperature': 127.30367822895339, 'M2': 390327.380568057}\n",
      "{'geohash': '9qf', 'temperature': 44.887591476924754, 'M2': 736400.8079714738}\n",
      "{'geohash': '9q9', 'temperature': 124.82789338895532, 'M2': 408585.37003320677}\n",
      "{'geohash': '9qb', 'temperature': 279.18052366515957, 'M2': 990.9814107936976}\n",
      "{'geohash': '9qc', 'temperature': 55.77964497938226, 'M2': 717458.2266033705}\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n"
     ]
    }
   ],
   "source": [
    "words = sock.map(lambda line: line.split(\"\t\"))\n",
    "words_with_geohash = words.map(lambda wordz: getLatLong(wordz))\n",
    "filtered_data= words_with_geohash.filter(lambda x: x[18] in geo_hashes)\n",
    "weather_data = filtered_data.map(lambda x: getReqdFields(x))\n",
    "reduced = weather_data.reduceByKey(lambda x, y: computeVal(y, x))\n",
    "distrib = reduced.updateStateByKey(computeVal2)\n",
    "\n",
    "distrib_geo = distrib.map(lambda rdd: {'geohash':rdd[0],\n",
    "                                       'temperature':rdd[1][0][1],\n",
    "                                       'M2':rdd[1][0][2]\n",
    "                                      })\n",
    "\n",
    "distrib_geo2 = distrib.map(lambda rdd: {'geohash':rdd[0],\n",
    "                                       'pressure':rdd[1][1][1],\n",
    "                                       'M2':rdd[1][1][2]\n",
    "                                      })\n",
    "\n",
    "distrib_geo3 = distrib.map(lambda rdd: {'geohash':rdd[0],\n",
    "                                       'humidity':rdd[1][2][1],\n",
    "                                       'M2':rdd[1][2][2]\n",
    "                                      })\n",
    "\n",
    "distrib_geo4 = distrib.map(lambda rdd: {'geohash':rdd[0],\n",
    "                                       'precipitation':rdd[1][3][1],\n",
    "                                       'M2':rdd[1][3][2]\n",
    "                                      })\n",
    "\n",
    "distrib_geo5 = distrib.map(lambda rdd: {'geohash':rdd[0],\n",
    "                                       'visibility':rdd[1][4][1],\n",
    "                                       'M2':rdd[1][4][2]\n",
    "                                      })\n",
    "\n",
    "distrib_geo6 = distrib.map(lambda rdd: {'geohash':rdd[0],\n",
    "                                       'wind speed':rdd[1][5][1],\n",
    "                                       'M2':rdd[1][5][2]\n",
    "                                      })\n",
    "\n",
    "\n",
    "distrib_geo.foreachRDD(plot_distribution)\n",
    "distrib_geo2.foreachRDD(plot_distribution2)\n",
    "distrib_geo3.foreachRDD(plot_distribution3)\n",
    "distrib_geo4.foreachRDD(plot_distribution4)\n",
    "distrib_geo5.foreachRDD(plot_distribution5)\n",
    "distrib_geo6.foreachRDD(plot_distribution6)\n",
    "\n",
    "# distrib.foreachRDD(plot_distribution)\n",
    "\n",
    "# reduced = weather_data_mapped.reduceByKey(lambda x, y: y)\n",
    "# words_with_geohash.foreachRDD(printRDD)\n",
    "\n",
    "# Print out the distribution for good measure\n",
    "# reduced.pprint()\n",
    "distrib_geo.pprint()\n",
    "# weather_data.pprint()\n",
    "# filtered_data.pprint()\n",
    "# wordsTemp = words.map(lambda x: getLatLong(x))\n",
    "\n",
    "# Running this will start listening:\n",
    "ssc.start()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------------------------------\n",
      "Time: 2020-12-09 23:08:25\n",
      "-------------------------------------------\n",
      "{'geohash': '9qd', 'temperature': 128.0127310619908, 'M2': 418925.1428116789}\n",
      "{'geohash': '9qf', 'temperature': 45.88555543336041, 'M2': 799897.4522832991}\n",
      "{'geohash': '9q9', 'temperature': 125.51171611743956, 'M2': 438635.15031195746}\n",
      "{'geohash': '9qb', 'temperature': 279.2410119724387, 'M2': 1204.3720041803927}\n",
      "{'geohash': '9qc', 'temperature': 56.78859624012311, 'M2': 778313.2292141622}\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n",
      "/home2/anaconda3/lib/python3.7/site-packages/pandas/plotting/_core.py:304: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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sUQ4AM7NE5QoASc2Sdkhqk7SwwvIhklZnyzdKaihbdndWvkPSdVnZUEmbJL0saaukf9NfK2RmZvn0GgCS6oD7gJlAEzBXUlOXavOBdyPiImAJsDhr2wS0AOOBZmBp1t9h4NqImARMBpol/VH/rJKZmeWR5x3AVKAtInZHxEfAKmBWlzqzgBXZ9FpghiRl5asi4nBE7AHagKlR8l5Wf3D2Eye4LmZm1gd5AmAk8EbZfHtWVrFORHQCh4ARPbWVVCfpJeAt4FcRsbHSi0taIKkoqdjR0ZFjuGZmlkeeAFCFsq5H693V6bZtRByJiMnAKGCqpAmVXjwilkVEISIK9fX1OYZrZmZ55AmAdmB02fwoYH93dSQNAoYDB/K0jYiDwDOUrhGYmdlJkicANgNjJTVKOpPSRd3WLnVagXnZ9BxgXUREVt6S3SXUCIwFNkmql3QOgKQ/AL4KvHbiq2NmZnkN6q1CRHRKugN4GqgDHoyIrZIWAcWIaAWWA49KaqN05N+Std0q6XFgG9AJ3B4RRyT9IbAiuyPoDODxiHhiIFbQzMwqU+lAvTYUCoUoFovVHoaZDbhKlw9PFyd3nytpS0QUKi3zk8BmZolyAJiZJcoBYGaWKAeAmVmiHABmZolyAJiZJcoBYGaWKAeAmVmiHABmZolyAJiZJcoBYGaWKAeAmVmiHABmZolyAJiZJcoBYGaWKAeAmVmiHABmZolyAJiZJcoBYGaWKAeAmVmiHABmZonKFQCSmiXtkNQmaWGF5UMkrc6Wb5TUULbs7qx8h6TrsrLRktZL2i5pq6Q/7a8VMjOzfHoNAEl1wH3ATKAJmCupqUu1+cC7EXERsARYnLVtAlqA8UAzsDTrrxP4lxFxCfBHwO0V+jQzswGU5x3AVKAtInZHxEfAKmBWlzqzgBXZ9FpghiRl5asi4nBE7AHagKkR8X8i4kWAiPg9sB0YeeKrY2ZmeeUJgJHAG2Xz7Xx+Z/1JnYjoBA4BI/K0zU4XXQZsrPTikhZIKkoqdnR05BiumZnlkScAVKEsctbpsa2ks4D/CvzziPhdpRePiGURUYiIQn19fY7hmplZHnkCoB0YXTY/CtjfXR1Jg4DhwIGe2koaTGnnvzIifn48gzczs+OXJwA2A2MlNUo6k9JF3dYudVqBedn0HGBdRERW3pLdJdQIjAU2ZdcHlgPbI+Iv+2NFzMysbwb1ViEiOiXdATwN1AEPRsRWSYuAYkS0UtqZPyqpjdKRf0vWdqukx4FtlO78uT0ijkiaBvwJ8Iqkl7KX+mFEPNnfK2hmZpWpdKBeGwqFQhSLxWoPw8wGXKXLh6eLk7vPlbQlIgqVlvlJYDOzRDkAzMwS5QAwM0uUA8DMLFEOADOzRDkAzMwS5QAwM0uUA8DMLFEOADOzRDkAzMwS5QAwM0uUA8DMLFEOADOzRDkAzMwS5QAwM0uUA8DMLFEOADOzRDkAzMwS5QAwM0uUA8DMLFEOADOzROUKAEnNknZIapO0sMLyIZJWZ8s3SmooW3Z3Vr5D0nVl5Q9KekvSq/2xImZm1je9BoCkOuA+YCbQBMyV1NSl2nzg3Yi4CFgCLM7aNgEtwHigGVia9QfwcFZmZmZVkOcdwFSgLSJ2R8RHwCpgVpc6s4AV2fRaYIYkZeWrIuJwROwB2rL+iIhngQP9sA5mZnYc8gTASOCNsvn2rKxinYjoBA4BI3K27ZGkBZKKkoodHR19aWpmZj3IEwCqUBY56+Rp26OIWBYRhYgo1NfX96WpmZn1IE8AtAOjy+ZHAfu7qyNpEDCc0umdPG3NzKwK8gTAZmCspEZJZ1K6qNvapU4rMC+bngOsi4jIyluyu4QagbHApv4ZupmZnYheAyA7p38H8DSwHXg8IrZKWiTpG1m15cAISW3AvwAWZm23Ao8D24CngNsj4giApMeA54GLJbVLmt+/q2ZmZj1R6UC9NhQKhSgWi9UehpkNuEqXD08XJ3efK2lLRBQqLfOTwGZmiXIAmJklygFgZpYoB4CZWaIcAGZmiXIAmJklygFgZpYoB4CZWaIcAGZmiXIAmJklygFgZpYoB4CZWaIcAGZmiXIAmJklygFgZpYoB4CZWaIcAGZmiXIAmJklygFgZpYoB4CZWaIcAGZmicoVAJKaJe2Q1CZpYYXlQyStzpZvlNRQtuzurHyHpOvy9mlmZgOr1wCQVAfcB8wEmoC5kpq6VJsPvBsRFwFLgMVZ2yagBRgPNANLJdXl7NPMzAZQnncAU4G2iNgdER8Bq4BZXerMAlZk02uBGZKUla+KiMMRsQdoy/rL06eZmQ2gQTnqjATeKJtvB/5Bd3UiolPSIWBEVv5Cl7Yjs+ne+gRA0gJgQTb7nqQdOcZci84F3q72IOy4efvVtpO4/XRyXuZTY7pbkCcAKo02ctbprrzSO4+ufZYKI5YBy3oa4OlAUjEiCtUehx0fb7/alur2y3MKqB0YXTY/CtjfXR1Jg4DhwIEe2ubp08zMBlCeANgMjJXUKOlMShd1W7vUaQXmZdNzgHUREVl5S3aXUCMwFtiUs08zMxtAvZ4Cys7p3wE8DdQBD0bEVkmLgGJEtALLgUcltVE68m/J2m6V9DiwDegEbo+IIwCV+uz/1aspp/1prtOct19tS3L7qXSgbmZmqfGTwGZmiXIAmJklygFgZpYoB4CZWaLyPAhmA0RSgdLzEJ3A/46I16o8JOsjSZcD0yg9yPjriHixykOyHmTbq1upbT/fBVQFkv4h8BfAQWAK8Gvg7wEfA38SEW/00NxOEZJ+BNwI/Dwr+sfAmoj4t9UblfVE0vpscihQAF6m9IkFlwIbI2JatcZWDQ6AKpD0G+DrEdGRPSD3lxExW9LXgLsi4utVHqLlIGk7cFlEfJjN/wHwYkRcUt2RWW8krQJ+HBGvZPMTgO9HxLerOrCTzNcAqqMuIjqy6X1kH9YUEb/i0w/Ls1PfXkpHkscMAXZVZyjWR+OO7fwBIuJVYHIVx1MVvgZQHUVJy4G/pfQx2M8ASPoCpSej7RQm6T9SOud/GNgq6VfZ/NeADdUcm+W2XdIDwM8obbtbgO3VHdLJ51NAVSBpMPDPKH0ZzsuUPgrjSHYK4UsR8XpVB2g9kjSvp+URsaKn5VZ9koYCtwHTs6JngfuPnc5LhQPAzCxRPgVURZJeofL3IAiIiLj0JA/J+sDbr3Z525U4AKrrf2S/H81+3wy8z6dfr2mnNm+/2uVth08BVZWkX0fEVb2V2anJ2692eduV+DbQ6hom6ZMHTyRdCQyr4nisb7z9ape3HT4FVG3/FHhI0nBK5yMPZWVWG7z9ape3HT4FVDWSLgRmA+dT+iygDmBpRByq6sAsF2+/2uVt9ymfAqoCSd8D/jOffh7JUOAs4HlJV1dxaJaDt1/t8rb7LL8DqILsFrTJ2cNfXwCejIirJZ0P/DIiLqvyEK0H3n61y9vus/wOoHqOXX8ZApwNEBH7gMFVG5H1hbdf7fK2y/gicHU8AGyW9AKlR9EXA0iqBw5Uc2CWi7df7fK2K+NTQFUiaTxwCfCqvwim9nj71S5vu085AMzMEuVrAGZmiXIAmJklygFgdpwkPSxpTj/0s1fSuf0xJrO+cACYmSXKAWBJkvSvJb0m6VeSHpP0fUkXSnpK0hZJfydpXFZ3jKS/lfS/st/nl3U1XdJzknYfezcg6ays3ouSXpE0KysfJum/S3pZ0quSbirr586y+uNO3l/CUuYAsORIKgD/BLgM+CaljwQAWAbcGRFTgO8DS7Py/wQ8kn1JyErgp2Xd/SEwDbgB+POs7ENgdkRcDlwD/IUkAc3A/oiYFBETgKfK+nk7q39/9tpmA84PglmKplF67P8DAEl/TekzYa4E1pT21UDpSVGAKygFBZS+QOQ/lPX13yLiKLBN0pezMgH/TtJ04CgwEvgy8Apwj6TFwBMR8Xdl/fw8+72l7LXMBpQDwFKkCmVnAAcjYnKO9uUPzxyu0O/NQD0wJSI+lrQXGBoROyVNAa4H/r2kv4mIRV36OYL/L+0k8SkgS9EG4B9JGirpLOCPKX0d4B5JNwKoZFJW/zmgJZu+OWvfk+HAW9nO/xpgTNbnecD7EfEz4B7g8v5cKbO+8pGGJSciNktqBV4GXgeKlL4Q5Gbgfkn/itIHg63K6nwPeFDSXZQ+O/7WXl5iJfDXkorAS8CxjxuYCPxE0lHgY+C2fl0xsz7yR0FYkiSdFRHvZR8J/CywICJerPa4zE4mvwOwVC2T1ETp4u8K7/wtRX4HYGaWKF8ENjNLlAPAzCxRDgAzs0Q5AMzMEuUAMDNL1P8HxatNGGPVzNAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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hmcOAeyOiaz1/l5nfj4gngbsi4mPAeuC84ZcpSRqMIYd7Zv4COKGH9s3AGcMpSpI0PJ6hKkkFMtwlqUCGuyQVyHCXpAIZ7pJUIMNdkgpkuEtSgYZ7bRlpbKudZNdc6aWTNPrsuUtSgQx3SSqQ4S5JBTLcJalAhrskFchwl6QCeSikpNbTAofI2nOXpAIZ7pJUIMNdkgpkuEtSgQx3SSqQ4S5JBTLcJalAhrskFchwl6QCGe6SVCDDXZIKZLhLUoEMd0kqkOEuSQVqWLhHxFkR8bOIWBMRVzfqeSRJ79SQcI+IccBfA2cDxwEfiYjjGvFckqR3alTP/WRgTWb+IjP/H3AnsKhBzyVJ2kOjvonpSOCVuukO4J/XzxARS4Gl1eSWiPhZg2oZjEOAXw156bHw7S4jx23RzW3RzW3RbSxsi6N7e6BR4d5T1bt9p1RmLgeWN+j5hyQi2jOzrdl1jAVui25ui25ui25jfVs0alimA5haNz0F2NCg55Ik7aFR4f4kMCMipkfEPwHOB1Y26LkkSXtoyLBMZm6PiE8C9wPjgFsz88VGPNcIG1PDRE3mtujmtujmtug2prdFZGb/c0mS9iqeoSpJBTLcJalAhrskFchwl6Q+RMSnqtv5za5lMFr6H6oR0UbtePztwMuZ+dMml9RUETEPOI3aCWc/ysynm1xSU0TE5cAdmfl6NX0Q8JHMvKm5lY2eal/oVSvtGxHxbGbOiYinM7PP7TKWtGS4R8T7gc8DrwMnAj8CDgLeBi7MzFf6WLxIEfGfgPOAb1dNHwbuzsz/0ryqmqPrzbxH2zOZObdZNY22iHikujsBaAOeo3bm+WzgJ5l5WrNqG20R8U3gVGAy8PP6h4DMzNlNKawfrRruzwAfzMzOiJgOfCEzz42IPwSuyswPNrnEURcRq4G5mbmtmt4feDozj21uZaMvIlYBJ2T15qiucroqM2c2t7LRFxF3Ap/NzOer6VnAlZm5pKmFjbKI+KfUztv54z0fy8xfjn5F/WvUtWXGunGZ2VndX0918Z3MfDAivtS8sppqHbVe2rZqej9276W0kvuBuyLib6gNUf174PvNLalpjukKdoDMfCEi5vS1QIky8/8AJzS7jsFo1XBvj4ivAg9TuxTxowAR8XvUzqhtGRHxZWoB9hbwYkQ8WE3/IfBYM2tros8AlwKXUfvo/QDwlaZW1DyrI+IrwO3U9ot/B6xubknNERHPs8cFELseYgwOz7TqsMx44BJqXyTyHLXLI+yohiIOHasfsxohIhb39Xhm3jZatWjsiYgJ1P7Iva9q+iFwc9fwXSuJiL+q7n6jur0A2ArcBmNveKYlw13qy97WQ9PoiIgfZeb8/trGilYdlgF8E9dzW+zme9Vtjz20VuJ+sZuJEXFaZj4GEBF/AExsck29aulwxzdxPbdFt/l79Maurnpo/7lpFTWP+0W3i4G/jYgDqf3B+23VNia19LDM3vYxq5HcFt0i4lngk3v00G7a89j3VuB+URMR7wHOBY6idtJjJ7V94rdNLawPrX75gYkRsetkjLH+MavB3BbdLgb+OiLWRcRa4CbGcA+twVp+v4iIPwP+hu4TuiYAk4DHI+L0JpbWp1bvuc8D/hbY7WNWK51a3cVtUbM39tAayf1i1/8d5lRH1P0ecF9mnh4RRwErxuqZyy075l69iT8A/IAWfxO7LWqqHtofUdsObcCzdPfQPpGZjzaxvFHnfrGbfYEd1E7uOwAgM9dXh1WPSS05LLO3fsxqBLfFbi4Bzqqup/MvgOMy8z8AZwFfbGplo8z9YjdfAZ6MiOXA48D/AIiIycCvm1lYX1pyWGZv/ZjVCG6LbtW2aMvMt6orQT6UmSdWj72QmbOaW+Hocb/YXUTMBI4FXthbrh7bssMy7IUfsxrIbVHT1UP7MbUzMv8Sxn4PrYHcLyqZ+SLwYrPrGIxWDXffxN3cFpXM/O8R8RC1HtoXunpo1UXm3tfnwuVxv9jLteSwDOydH7MaxW2hnrhf7N1aNtwlqWQtebSMJJXOcJekAhnuUg8i4msR8a9HYD3rIuKQkahJGgzDXZIKZLirOBFxbUT8NCIejIhvRsSVEfGeiPh+RDwVEf8QEcdU8x4dEQ9HxKrq9qi6Vb0vIv4xIn7R1YuPiEnVfE9HxPMRsahqnxgR/ysinouIFyLi39at50/r5j9m9LaEWpnhrqJERBvwr4C5wL+kduo8wHLgT6szTq+kdqVHqJ1K/vXqSyfuAG6sW93hwGnAh4Drq7ZtwLmZOQ9YAHw+IoLaJQo2ZOYJ1Zms9V+o/atq/pur55YarlVPYlK5TqN2evz/BYiIv6d2XZQ/AO6u5TBQO+sS4FRqfwSg9oUUf9W9Kr6TmTuBlyLisKotgP8aEe8DdgJHAocBzwM3RMRfAt/NzH+oW8+3q9un6p5LaijDXaWJHtr2AV4f4Jdt1J/48VYP670AmAycmJlvR8Q6YEJm/u+IOBE4B/hvEfFA3Tc3da1nB77nNEocllFpHgP+KCImRMQkYCG1r4VbGxHnAUTNCdX8/wicX92/oFq+LwcCm6pgXwAcXa3zCGBrZt4O3ADMG8kXJQ2WvQgVJTOfjIiVwHPAL4F2al8wcQFwc0T8R2A8cGc1z58Bt0bEVdSuV35RP09xB/D3EdFO7XrvXaflHw98LiJ2Am8Dl43oC5MGycsPqDgRMSkzt1SXqv0hsLSVvjlIAnvuKtPyiDiO2j9SbzPY1YrsuUtSgfyHqiQVyHCXpAIZ7pJUIMNdkgpkuEtSgf4/if6bo464+eAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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q+thgK5s53bGwW/Pp2EiypqqWJLm7qva4X2aLOR3gSf4N8EHg58BS4OvAQcBjwOur6v8MsLyBSPIO4JXA9d2kc4C/rqo/HVxVg7H9A7vLtHuq6vhB1TTTknytezoEjADfpTfK+reBb1XVskHVNtOSXAs8HxgGNox+C6iq+u2BFLYHcz3A7wFOr6rNSRYDl1XVuUleBLytqk4fcIkzLsk64Piq2tK9/nXg7qo6erCVzbwk9wLHVfch6K6weW9VHTvYymZeks8A/7mq7ute/xZwcVVdMNDCZliSf0FvbMvZu75XVT+a+Yr2bCrXQmnBvlW1uXv+Y+DZAFV1a5I/H1xZA7WRXmtrS/f6KTyxtTGf/A3wuSR/Qa876d8Dtwy2pIE5ant4A1TV2iRL9rTAXFRVPwWOG3QdEzXXA3xVkiuA2+hd6vZ2gCRPpTd6dN5I8t/phdSvgPuT3Nq9fhFw1yBrG6A/Bt4MvIXe1+SvAB8faEWDsy7Jx4G/ondcvA5YN9iSBiPJfYxxYT5mYVfKXO9CWQAsp3fDie/SG+6/res2ePps/Eo0XZKcv6f3q+qamapFs0+SIXr/kZ3cTboDuHx7V9t8kuTPuqef7B7PA/4ZuAZmV1fKnA5waU9aamlp5iT5elWdNN602WCud6EAflBHc188wZe7xzFbWvOJx8UTPC3Jsqq6CyDJC4CnDbimMc2LAMcP6mjui51O2qVVdUnX0nrPwCoaHI+LnX4PuCrJAfT+U/tFN23WmRddKC19JZpu7oudkqwBLtqlpfWxXc8Nnw88LnqSHAGcCxxOb+DfZnrHxC8GWthuzJeh9E9LsmNAwmz+SjQD3Bc7/R7w0SQbk/wQ+BiztKU1A+b9cZHkD4C/YOegpiFgf+CbSU4ZYGm7NV9a4CcAVwFP+Eo0n4YJb+e+6GmtpTXdPC52/A6wpDtT7anAl6rqlCSHA1+cjSN053wfePdBPQ34n8zzD6r7oqdraZ1Fbz+MAGvY2dL6D1V1+wDLm3EeF0+wH7CN3gC3hQBV9ePulORZZ053obT4lWi6uC+eYDlwRnf9lxcCx1TV24EzgA8NtLIZ5nHxBB8HvpNkJfBN4CMASYaBRwZZ2O7M6S6UFr8STRf3xU7dvhipql91VyD826pa2r23tqp+a7AVzhyPiydKcixwNLC2hauWzvkuFBr7SjTN3Bc921ta/4veyMP3w+xuaU0zj4tOd2P2Fm7ODsz9APeDupP7olNV/y3J39JraV22vaXVXfjs5D0uPPd4XDRsTnehQHtfiaaT+0Jj8bho15wPcEmaq+b0WSiSNJcZ4JLUKANc81qSq5O8og/r2ZjkkH7UJE2UAS5JjTLA1awk/ynJ95PcmuTaJBcnOSLJLUlWJ7kzyVHdvM9OcluSe7vHw0et6uQk30jyg+2t8ST7d/PdneS+JC/rpj8tyf9I8t0ka5P8u1Hr+f1R8x81c3tC85UBriYlGQFeDhwP/Ft6w8ABVgK/342svJjeFQahNyz6E92NCT4FfHjU6g4FlgFnAu/rpm0Bzq2qE4BTgQ8mCb3h9j+pquO6EZujb4L8UDf/5d22pWk11wfyaO5aRm+o9y8BktxE7zoeLwD+upe1QG90IcDz6QU99G5a8Gc7V8UNVfU48L0kz+imBfgvSU4GHgeeCTwDuA+4NMn7gZur6s5R67m+e1w9alvStDHA1aqMMW0f4OcTvCHD6AEQvxpjvecBw8DSqnosyUZgqKr+d5KlwEuA/5rkK6Pu4LN9Pdvws6UZYBeKWnUXcFaSoST7Ay+ldwuwHyZ5JUB6juvm/wbw6u75ed3ye3IA8GAX3qcCz+7W+S+Bf66qvwIuBU7o5x8l7Q1bCWpSVX0nyY3Ad4EfAavo3YTgPODyJP8RWAB8ppvnD4Ark7yN3vWu3zDOJj4F3JRkFb3rhW8fYv5c4ANJHgceA97S1z9M2gsOpVezkuxfVf/UXQb1DmDFfLqDjGQLXC1bmeQYej9eXmN4a76xBS5JjfJHTElqlAEuSY0ywCWpUQa4JDXKAJekRv1/j3YANiG2ApIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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wi5QkDc5whmUOA+6N2sfefYG/y8zvR8STwF0R8TFgPXDe8MuUJA3GkMM9M38BnNBD+2bgjOEUJUkaHs9QlaQCGe6SVCDDXZIKNNzj3CVp79MC5z/Yc5ekAhnuklQgw12SCmS4S1KBDHdJKpDhLkkFMtwlqUCGuyQVyHCXpAIZ7pJUIMNdkgpkuEtSgQx3SSqQ4S5JBTLcJalAhrskFchwl6QCGe6SVCDDXZIKZLhLUoEMd0kqkOEuSQUy3CWpQIa7JBWoYeEeEWdFxM8iYk1EXN2o55EkvVNDwj0ixgF/DZwNHAd8JCKOa8RzSZLeqVE995OBNZn5i8z8f8CdwKIGPZckaQ/7Nmi9RwKv1E13AP+8foaIWAosrSa3RMTPGlTLYBwC/GrIS0eMXCXN57bo5rbo5rboNha2xdG9PdCocO+p6txtInM5sLxBzz8kEdGemW3NrmMscFt0c1t0c1t0G+vbolHDMh3A1LrpKcCGBj2XJGkPjQr3J4EZETE9Iv4JcD6wskHPJUnaQ0OGZTJze0R8ErgfGAfcmpkvNuK5RtiYGiZqMrdFN7dFN7dFtzG9LSIz+59LkrRX8QxVSSqQ4S5JBTLcJalAhrsk9SEiPlXdzm92LYPR0v9QjYg2asfjbwdezsyfNrmkpoqIecBp1E44+1FmPt3kkpoiIi4H7sjM16vpg4CPZOZNza1s9FT7Qq9aad+IiGczc05EPJ2ZfW6XsaQlwz0i3g98HngdOBH4EXAQ8DZwYWa+0sfiRYqI/wScB3y7avowcHdm/pfmVdUcXW/mPdqeycy5zapptEXEI9XdCUAb8By1M89nAz/JzNOaVdtoi4hvAqcCk4Gf1z8EZGbObkph/WjVcH8G+GBmdkbEdOALmXluRPwhcFVmfrDJJY66iFgNzM3MbdX0/sDTmXlscysbfRGxCjghqzdHdZXTVZk5s7mVjb6IuBP4bGY+X03PAq7MzCVNLWyURcQ/pXbezh/v+Vhm/nL0K+pfo64tM9aNy8zO6v56qovvZOaDEfGl5pXVVOuo9dK2VdP7sXsvpZXcD9wVEX9DbYjq3wPfb25JTXNMV7ADZOYLETGnrwVKlJn/Bzih2XUMRquGe3tEfBV4mNqliB8FiIjfo3ZGbcuIiC9TC7C3gBcj4sFq+g+Bx5pZWxN9BrgUuIzaR+8HgK80taLmWR0RXwFup7Zf/DtgdXNLao6IeJ49LoDY9RBjcHimVYdlxgOXUPsikeeoXR5hRzUUcehY/ZjVCBGxuK/HM/O20apFY09ETKD2R+59VdMPgZu7hu9aSUT8VXX3G9XtBcBW4DYYe8MzLRnuUl/2th6aRkdE/Cgz5/fXNla06rAM4Ju4nttiN9+rbnvsobUS94vdTIyI0zLzMYCI+ANgYpNr6lVLhzu+ieu5LbrN36M3dnXVQ/vPTauoedwvul0M/G1EHEjtD95vq7YxqaWHZfa2j1mN5LboFhHPAp/co4d2057HvrcC94uaiHgPcC5wFLWTHjup7RO/bWphfWj1yw9MjIhdJ2OM9Y9ZDea26HYx8NcRsS4i1gI3MYZ7aA3W8vtFRPwZ8Dd0n9A1AZgEPB4RpzextD61es99HvC3wG4fs1rp1OoubouavbGH1kjuF7v+7zCnOqLu94D7MvP0iDgKWDFWz1xu2TH36k38AeAHtPib2G1RU/XQ/ojadmgDnqW7h/aJzHy0ieWNOveL3ewL7KB2ct8BAJm5vjqsekxqyWGZvfVjViO4LXZzCXBWdT2dfwEcl5n/ATgL+GJTKxtl7he7+QrwZEQsBx4H/gdAREwGft3MwvrSksMye+vHrEZwW3SrtkVbZr5VXQnyocw8sXrshcyc1dwKR4/7xe4iYiZwLPDC3nL12JYdlmEv/JjVQG6Lmq4e2o+pnZH5lzD2e2gN5H5RycwXgRebXcdgtGq4+ybu5raoZOZ/j4iHqPXQvtDVQ6suMve+Phcuj/vFXq4lh2Vg7/yY1ShuC/XE/WLv1rLhLkkla8mjZSSpdIa7JBXIcJd6EBFfi4h/PQLrWRcRh4xETdJgGO6SVCDDXcWJiGsj4qcR8WBEfDMiroyI90TE9yPiqYj4h4g4ppr36Ih4OCJWVbdH1a3qfRHxjxHxi65efERMquZ7OiKej4hFVfvEiPhfEfFcRLwQEf+2bj1/Wjf/MaO3JdTKDHcVJSLagH8FzAX+JbVT5wGWA39anXF6JbUrPULtVPKvV186cQdwY93qDgdOAz4EXF+1bQPOzcx5wALg8xER1C5RsCEzT6jOZK3/Qu1fVfPfXD231HCtehKTynUatdPj/y9ARPw9teui/AFwdy2HgdpZlwCnUvsjALUvpPir7lXxnczcCbwUEYdVbQH814h4H7ATOBI4DHgeuCEi/hL4bmb+Q916vl3dPlX3XFJDGe4qTfTQtg/w+gC/bKP+xI+3eljvBcBk4MTMfDsi1gETMvN/R8SJwDnAf4uIB+q+ualrPTvwPadR4rCMSvMY8EcRMSEiJgELqX0t3NqIOA8gak6o5v9H4Pzq/gXV8n05ENhUBfsC4OhqnUcAWzPzduAGYN5IvihpsOxFqCiZ+WRErASeA34JtFP7gokLgJsj4j8C44E7q3n+DLg1Iq6idr3yi/p5ijuAv4+IdmrXe+86Lf944HMRsRN4G7hsRF+YNEhefkDFiYhJmbmlulTtD4GlrfTNQRLYc1eZlkfEcdT+kXqbwa5WZM9dkgrkP1QlqUCGuyQVyHCXpAIZ7pJUIMNdkgr0/wG2y5uh6B3hBwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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G5wCrs3P7ZUXEvwDvSvrj7OqfrwKP9bj3ZmZ23IZ0VyEi2iTdCDwO1AD3RsQmSYuBpohoBJYBD0pqprjnP699fkk7gJOBEyRdDVwZEZuBG4D7gT8Afp69zMysn6iLHfWqUygUoqmpqdLdMBvEquV2nGrYLg2edSFpQ0QUSst9J7CZWaIcAGZmiXIAmJklygFgZpYoB4CZWaIcAGZmiXIAmJklygFgZpYoB4CZWaIcAGZmiXIAmJklygFgZpYoB4CZWaIcAGZmiXIAmJklygFgZpYoB4CZWaIcAGZmiXIAmJklygFgZpYoB4CZWaIcAGZmiXIAmJklygFgZpYoB4CZWaIcAGZmiXIAmJklygFgZpYoB4CZWaJyBYCkmZJekdQsaVGZ6cMkPZxNf1ZSfadp383KX5H0J53Kd0h6UdJGSU29sTBmZpbfkO4qSKoB7gSuAFqA9ZIaI2Jzp2rXA+9ExNmS5gFLgLmSxgPzgAnA6cCvJf3biDiYzXdZRLzZi8tjZmY55TkCuBBojohXI+IDYCUwq6TOLGB5NvwoMEOSsvKVEXEgIrYDzVl7ZmZWYXkC4AzgtU7jLVlZ2ToR0QbsBWq7mTeAX0raIGnhsX65pIWSmiQ1tba25uiumZnlkScAVKYsctbpat6pEXEB8BngW5Kml/vlEbE0IgoRUairq8vRXTMzyyNPALQAozuNjwJ2H6uOpCHASODtruaNiPafvwN+jE8NmZn1qzwBsB4YK6lB0gkUP9RtLKnTCCzIhucAqyMisvJ52VVCDcBY4DlJIySdBCBpBHAl8NJHXxwzM8ur26uAIqJN0o3A40ANcG9EbJK0GGiKiEZgGfCgpGaKe/7zsnk3SXoE2Ay0Ad+KiIOSPg78uPg5MUOAH0XEL/pg+czM7BhU3FEfGAqFQjQ1+ZYBs75T7mO7SqiG7dLgWReSNkREobTcdwKbmSXKAWBmligHgJlZorr9ENhs8Bs853rNesJHAGZmiXIAmJklygFgZpYoB4CZWaIcAGZmiXIAmJklygFgZpYoB4CZWaIcAGZmiXIAmJklygFgZpYoB4CZWaIcAGZmiXIAmJklygFgZpYoB4CZWaIcAGZmiXIAmJklygFgZpYoB4CZWaIS+1J4f/m3mVk7HwGYmSXKAWBmligHgJlZohwAZmaJcgCYmSUqVwBIminpFUnNkhaVmT5M0sPZ9Gcl1Xea9t2s/BVJf5K3TTMz61vdBoCkGuBO4DPAeOBaSeNLql0PvBMRZwO3AUuyeccD84AJwEzgLkk1Ods0M7M+lOcI4EKgOSJejYgPgJXArJI6s4Dl2fCjwAxJyspXRsSBiNgONGft5WnT+pSq5GVmlZLnRrAzgNc6jbcA/+5YdSKiTdJeoDYrf6Zk3jOy4e7aBEDSQmBhNrpP0is5+tyXTgXe/GhNDJoNn9dFB6+LDl4XHaplXYwpV5gnAMr99tJbWY9V51jl5Y48yt4eGxFLgaVddbA/SWqKiEKl+1ENvC46eF108LroUO3rIs8poBZgdKfxUcDuY9WRNAQYCbzdxbx52jQzsz6UJwDWA2MlNUg6geKHuo0ldRqBBdnwHGB1RERWPi+7SqgBGAs8l7NNMzPrQ92eAsrO6d8IPA7UAPdGxCZJi4GmiGgElgEPSmqmuOc/L5t3k6RHgM1AG/CtiDgIUK7N3l+8PlE1p6OqgNdFB6+LDl4XHap6Xai4o25mZqnxncBmZolyAJiZJcoBYGaWKAeAmVkvkPQfs59TK92XvPwhcA6SChTvW2gD/m9EvFzhLlWUpAuAaRRv3nsyIn5T4S5VhKRvASsiYk82/kfAtRFxV2V71n+y98IxpfTekLQxIs6T9JuI6HK9VAsHQBck/Xvgr4A9wBTgSeCPgA+Br0TEa13MPihJ+q/ANcA/ZEVXA6si4r9VrleV0f4PX1L2fEScX6k+9TdJa7LB4UABeIHiEwDOBZ6NiGmV6lt/k/QQcBFQB2zrPAmIiDi3Ih3rggOgC5KeB66MiNbsRra/jojZkq4Abo6IKyvcxX4naQtwfkTsz8b/APhNRJxT2Z71P0m/BSZnNz22Pzn3txExobI963+SVgL/PSJezMYnAt+OiK9VtGP9TNK/oXh/0+dLp0XEzv7vUdfyPAsoZTUR0ZoN7yJ7oFJE/ErS31SuWxW1g+Le3v5sfBhH7u2k5HHgEUl/S/F02DeAX1S2SxUzrn3jDxARL0k6r6sZBqOI+H/A5Er3Iy8HQNeaJC0D/oni46rXAkj6Q4p3MCdD0v+iuJE7AGyS9Kts/ApgXSX7VkH/Cfg6cAPFw/xfAvdUtEeVs0XSPcDfU3xffBnYUtkuVYakFyn/cMuqOxXkU0BdkDQU+DOKX1rzAsVHVhzMTnucVo2HdH1F0oKupkfE8q6m2+AmaTjFIJyeFT0B3N1+qjAlkv4yG3ww+zkfeI/sO1OqabvhADA7TgNpT8/6j6QnI2Jqd2XVwKeAcvA/egeviyP8PPtZdk8vJX5fHGGEpGkRsQ5A0sXAiAr3qSwHQD7+R+/gddFhasle3aJsT29xxXpUOX5fdPhT4D5JIymG4t6srOr4FFAOA+mQrq95XXSQtBG4sWRP767SewNS4PdFkaSzgNnAmRRvHG2l+J7YW9GOHYMfBZHPCEmHb2ip5kO6fuB10eFPgTsl7ZC0HbiLKt3T6wfJvy8k/Tnwt3TcFDccOBF4WtKlFezaMfkIIIfsdvf7KH7V5eFDupRuc2/ndVE00Pb0+prfF4c/Bzkvu1LwD4GfRcSlks4EHqvGO8T9GUA3sn/0y4H/Q+L/6F4XRdme3ucorocCsJGOPb1vRsTaCnav3/l9cYQhwEGKN0ieBBARu7JLyquOTwF1YSAe0vUVr4sj/BkwM3v+0aeB8RHxn4GZwG0V7Vk/8/viCPcA6yUtBZ4GfgggqY7iV+VWHZ8C6sJAPKTrK14XHbJ1UYiIA9kTQH8dEVOyaS9FxMTK9rD/+H1xJEkTgHOAlwbCU4N9Cqh7A+qQro95XRS17+k9Q/HO1yVQ3Xt6fczvi0xEbAI2VbofeTkAuuZ/9A5eF5mIuF3Srynu6f11+55e9uDA6V3OPPj4fTGA+RRQNwbaIV1f8rqwcvy+GLgcAGZmifJVQGZmiXIAmJklygFgdpwk3S9pTi+0s0PSqb3RJ7OecACYmSXKAWBJknSLpJcl/UrSQ5K+LeksSb+QtEHSP0sal9UdI+mfJP02+3lmp6amS3pK0qvtRwOSTszq/UbSi5JmZeUjJP1U0guSXpI0t1M7N3WqP67/1oSlzAFgyZFUAL4InA98geIjDACWAjdld/V+m+LTPaF4S/8D2ZearADu6NTcJ4BpwFXA97Oy/cDsiLgAuAz4K0mi+KiI3RExObtbuPMXyL+Z1b87+91mfc43glmKplF8TMH7AJL+keIzbC4GVhW31UDxzlaAiygGBRS/8OQvO5rif0fEIWCzpI9nZQL+h6TpwCHgDODjwIvArZKWAD+JiH/u1M4/ZD83dPpdZn3KAWApUpmyjwF7cn6ZS+ebZw6UaXc+UAdMiYgPJe0AhkfEVklTgM8C/1PSLzt9e1h7Owfx/6X1E58CshStAz4nabikE4H/QPHrC7dLugZARZOz+k8B87Lh+dn8XRkJ/C7b+F8GjMnaPB14LyL+HrgVuKA3F8qsp7ynYcmJiPWSGoEXgJ1AE8UvMJkP3C3pvwBDgZVZnT8H7pV0M8Vn3V/Xza9YAfyjpCaK3xXQ/niEScAPJB0CPgRu6NUFM+shPwrCkiTpxIjYlz3C+AlgYUrfXmUGPgKwdC2VNJ7ih7/LvfG3FPkIwMwsUf4Q2MwsUQ4AM7NEOQDMzBLlADAzS5QDwMwsUf8fwmNDwfUdRXEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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JSVKVISFJqjIkJElVhoQkqcqQkCRVGRKSpCpDQpJUZUhIkqoMCUlSlSEhSaoyJCRJVYaEJKnKkJAkVRkSkqQqQ0KSVGVISJKqDAlJUpUhIUmqMiQkSVWGhCSpypCQJFUZEpKkKkNCklRlSEiSqgwJSVKVISFJqhp0SETEIRHx04hYExGrI+K8Un9NRNwQEWvL3wNKPSJiSUSsi4i7I+KIpnktLO3XRsTCpvqREXFPmWZJREQrb1aSNDCtbElsAf5TZh4GHAN8LCKmAecDN2bmVODGMgxwIjC1PBYBF0MjVIALgNnA0cAFPcFS2ixqmm5BC/2VJA3QoEMiMx/LzNvL82eANcBE4GRgeWm2HHh3eX4y8N1s+CWwf0S8DjgBuCEzN2bmU8ANwIIybr/MvDUzE/hu07wkSUNglxyTiIjJwFuAlcDBmfkYNIIEeG1pNhF4pGmyrlLrr97VR12SNERaDomIeBXwv4D/mJm/6a9pH7UcRL2vPiyKiM6I6Ozu7t5RlyVJO6mlkIiIcTQC4rLM/GEpP152FVH+PlHqXcAhTZNPAh7dQX1SH/XtZOYlmdmRmR0TJkxo5S1Jkpq0cnZTAMuANZn51aZR1wA9ZygtBK5uqp9VznI6Bni67I5aAcyPiAPKAev5wIoy7pmIOKa81llN85KGVMTweEhDbWwL084B/hy4JyLuLLXPAl8GroyIs4ENwGll3PXAO4F1wLPAhwEyc2NEfAG4rbRbnJkby/NzgO8AewM/Kg9J0hCJxolDe46Ojo7s7OxsaR7D4RvbcPlncVk0DIflAC6LZsNhWexJImJVZnZsW/eKa0lSlSEhSaoyJCRJVYaEJKnKkJAkVRkSkqQqQ0KSVGVISJKqDAlJUpUhIUmqauXeTZI0qo2GW5S4JSFJqjIkJElVhoQkqcqQkCRVGRKSpCpDQpJUZUhIkqoMCUlSlSEhSaoyJCRJVYaEJKnKkJAkVRkSkqQqQ0KSVGVISJKqDAlJUpUhIUmqMiQkSVWGhCSpypCQJFUZEpKkKkNCklRlSEiSqoZ9SETEgoh4ICLWRcT57e6PJI0mwzokImIM8E3gRGAa8IGImNbeXknS6DGsQwI4GliXmQ9l5vPAFcDJbe6TJI0awz0kJgKPNA13lZokaQiMbXcHdiD6qOV2jSIWAYvK4G8j4oHd2qsdOwj4dSsziL7e+cjksujlsujlsug1XJbFG/oqDveQ6AIOaRqeBDy6baPMvAS4ZKg6tSMR0ZmZHe3ux3Dgsujlsujlsug13JfFcN/ddBswNSKmRMRewOnANW3ukySNGsN6SyIzt0TEx4EVwBjgW5m5us3dkqRRY1iHBEBmXg9c3+5+DNCw2fU1DLgserkserkseg3rZRGZ2x0HliQJGP7HJCRJbWRISJKqDAlJGiIRcV75O6fdfdlZHpPYRSKig8Y1HVuAtZl5f5u71FYRcQQwl8bFj7dk5u1t7lJbRMTHgMsyc1MZPgD4QGZe1N6eDZ2yLlSNpnUjIu7MzFkRcXtm9rtchgtDokUR8Xbgb4FNwJHALcABwAvAn2fmI/1MvkeKiM8BpwE/LKV3A1dl5hfb16v26PlQ2KZ2R2a+pV19GmoR8dPydDzQAdxF424KM4CVmTm3XX0bahFxOXAsMAF4sHkUkJk5oy0d64ch0aKIuAOYn5ndETEF+Gpmvici/gT4dGbOb3MXh1xErAHekpnPleG9gdsz87D29mzoRcTdwMws/9HKnY3vzszD29uzoRcRVwBfysx7yvB04FOZ+aG2dmyIRcTv0rj2613bjsvMXw19j/o37K+TGAHGZGZ3eb6Bcv+TzLwhIv6ufd1qq/U0vjU+V4Zfwcu/NY0mK4ArI2IpjV1v/wH4cXu71DaH9gQEQGbeGxGz+ptgT5SZ/w7MbHc/dpYh0brOiFgG3EjjNuY/A4iIV9K4SnzUiIj/SeODcDOwOiJuKMN/Atzczr610V8BfwmcQ2OXwj8Dl7a1R+2zJiIuBf6BxnrxQWBNe7vUHhFxD33crJRhuNvJ3U0tiohxwF/Q+FGku2jcOmRr2cXy2uG4+bi7RMTC/sZn5vKh6ouGn4gYTyMs55XSvwAX9+yWHE0i4m/K0++Vv2cCzwLLYXjtdjIkpN1oJH1j1NCJiFsyc86OasOBu5t2ET8MerksXuZH5W+f3xhHE9eLl9knIuZm5s0AEfFWYJ8296lPhsSu44dBL5dFrznbfDs8v3xjXNy2HrWP60WvjwDfjohX0wjOp0tt2HF30y4ykjYfdzeXRa+IuBP4+DbfGC/a9tqJ0cD1oiEifh94D/B6GhffdtNYJ55ua8cqvC3HrrNPRLx0UdBw3nwcAi6LXh8BvhkR6yPiYeAihuk3xiEw6teLiDgXWErvhYXjgVcBt0bEcW3sWpVbErtIufXAt4GXbT6OplsO9HBZNIy0b4y7m+vFS8dlZpUzIF8JXJ+Zx0XE64Grh+OV+B6T2AXKh8E7gJ8zyj8MXBYN5Rvjn9FYDh3AnfR+Y/xoZv6sjd0bcq4XLzMW2ErjItN9ATJzQzmdfthxd1OLRuLm4+7isniZvwAWlPtV/TEwLTP/C7AA+FpbezbEXC9e5lLgtoi4BLgV+AZAREwANrazYzXubmrRSNx83F1cFr3KsujIzM3lzq8/ycwjy7h7M3N6e3s4dFwvXi4iDgcOA+4dCXeLdnfTrjGiNh93M5dFQ883xl/SuML4KzC8vzHuZq4XRWauBla3ux87y5BonR8GvVwWRWZ+PSJ+QuMb41d7vjGWm0HO63fiPY/rxQjm7qZdYKRtPu5OLgv1xfVi5DIkJElVnt0kSaoyJCRJVYaEtBtFxHci4tRdMJ/1EXHQruiTNBCGhCSpypCQKiLiv0XE/RFxQ0RcHhGfiojfj4gfR8SqiPjXiDi0tH1DRNwYEXeXv69vmtW8iPhFRDzUs1UREa8q7W6PiHsi4uRS3ycirouIuyLi3oh4f9N8PtHU/tChWxIazQwJqQ8R0QG8F3gLcAqN20kAXAJ8olw9/Skad3WFxu0Vvlt+OOcyYEnT7F4HzAVOAr5cas8B78nMI4A/Av42IoLGbTsezcyZ5arsHzfN59el/cXltaXdzovppL7NpXHLiP8HEBH/ROOeQ28Frmp8ngONK4gBjqURJtD4UZ2/6Z0V/5iZLwL3RcTBpRbAX0fEPOBFYCJwMHAPcGFEfAW4NjP/tWk+Pyx/VzW9lrRbGRJS36KP2u8Am3byB4OaL0Da3Md8zwQmAEdm5gsRsR4Yn5n/OyKOBN4J/PeI+OemX7Hrmc9W/L+rIeLuJqlvNwN/FhHjI+JVwJ/S+KnNhyPiNIBomFna/wI4vTw/s0zfn1cDT5SA+CPgDWWevwc8m5n/AFwIHLEr35Q0UH4bkfqQmbdFxDXAXcCvgE4aP5JzJnBxRPxXYBxwRWlzLvCtiPg0jd9K+PAOXuIy4J8iopPGb0303KrizcD/iIgXgReAc3bpG5MGyNtySBUR8arM/G25vfW/AItG06+oSeCWhNSfSyJiGo0D1ssNCI1GbklIkqo8cC1JqjIkJElVhoQkqcqQkCRVGRKSpCpDQpJU9f8BE4QV5ALdpcwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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yuHtvZmYnbFBXFSKiTdJtwEqgBnggIjZKWgg0RUQjsAR4RFIzxTX/Oe3TS9oOnAGcKukG4LqI2ATcCjwE/B7w8+xhZma9RJ2sqPc5hUIhmpqaqt0NswGsr5yO0xe+lwbOspC0PiIK5eU+E9jMLFEOADOzRDkAzMwS5QAwM0uUA8DMLFEOADOzRDkAzMwS5QAwM0uUA8DMLFEOADOzRDkAzMwS5QAwM0uUA8DMLFEOADOzRDkAzMwS5QAwM0uUA8DMLFEOADOzRDkAzMwS5QAwM0uUA8DMLFEOADOzRDkAzMwS5QAwM0uUA8DMLFEOADOzRDkAzMwS5QAwM0uUA8DMLFG5AkDSdEmvSWqWtKDC+CGSHsvGPy+pvmTcd7Ly1yT9UUn5dkkvS9ogqak7ZsbMzPIb1FUFSTXAvcC1QAuwTlJjRGwqqXYL8G5EXCBpDrAImC1pLDAHGAecA/xa0r+OiIPZdFdHxNvdOD9mZpZTni2Ay4DmiHg9Ij4ElgMzyurMAJZmr58ApklSVr48Ig5ExDagOWvPzMyqLE8AnAu8UTLckpVVrBMRbcBeoLaLaQP4paT1kuYf649Lmi+pSVJTa2trju6amVkeeQJAFcoiZ53Opp0cEZcCnwa+KWlqpT8eEYsjohARhbq6uhzdNTOzPPIEQAswsmR4BLDrWHUkDQKGA7s7mzYi2p//Gfgx3jVkZtar8gTAOmC0pAZJp1L8UbexrE4jMC97PQtYFRGRlc/JjhJqAEYDL0gaJul0AEnDgOuAV05+dszMLK8ujwKKiDZJtwErgRrggYjYKGkh0BQRjcAS4BFJzRTX/Odk026U9DiwCWgDvhkRByV9DPhx8XdiBgE/iohf9MD8meVQaU9lNZTvWTXrWSquqPcPhUIhmpp8yoB1NwdABy+LDgNnWUhaHxGF8nKfCWxmligHgJlZohwAZmaJcgCYmSXKAWBmligHgJlZohwAZmaJcgCYmSXKAWBmligHgJlZorq8FpANVAPnNHczOzHeAjAzS5QDwMwsUQ4AM7NEJfYbgPd7m5m18xaAmVmiHABmZolyAJiZJcoBYGaWKAeAmVmiHABmZolyAJiZJcoBYGaWKAeAmVmiHABmZolyAJiZJcoBYGaWKAeAmVmiHABmZolyAJiZJSpXAEiaLuk1Sc2SFlQYP0TSY9n45yXVl4z7Tlb+mqQ/ytummZn1rC4DQFINcC/waWAscJOksWXVbgHejYgLgLuBRdm0Y4E5wDhgOnCfpJqcbZqZWQ/KswVwGdAcEa9HxIfAcmBGWZ0ZwNLs9RPANEnKypdHxIGI2AY0Z+3ladPMzHpQnltCngu8UTLcAvybY9WJiDZJe4HarPy5smnPzV531SYAkuYD87PBfZJey9HnnnQW8PbJNdFXbk150rwsOnhZdPCy6NBXlsWoSoV5AqDSXy+/qe2x6hyrvNKWR8Ub5UbEYmBxZx3sTZKaIqJQ7X70BV4WHbwsOnhZdOjryyLPLqAWYGTJ8Ahg17HqSBoEDAd2dzJtnjbNzKwH5QmAdcBoSQ2STqX4o25jWZ1GYF72ehawKiIiK5+THSXUAIwGXsjZppmZ9aAudwFl+/RvA1YCNcADEbFR0kKgKSIagSXAI5KaKa75z8mm3SjpcWAT0AZ8MyIOAlRqs/tnr0f0md1RfYCXRQcviw5eFh369LJQcUXdzMxS4zOBzcwS5QAwM0uUA8DMLFEOADOzbiDp32fPk6vdl7z8I3AOkgoUz1toA/5vRLxa5S5VlaRLgSkUT957OiJ+U+UuVYWkbwLLImJPNvwHwE0RcV91e9Z7svfCMaX03pC0ISIulvSbiOh0ufQVDoBOSPq3wF8Ae4BJwNPAHwAfAV+OiDc6mXxAkvSfgRuBv8uKbgBWRMR/rV6vqqP9A19W9mJEXFKtPvU2Sauzl0OBAvASxSsAXAQ8HxFTqtW33ibpUeByoA7YWjoKiIi4qCod64QDoBOSXgSui4jW7ES2v4yImZKuBe6IiOuq3MVeJ2kzcElE7M+Gfw/4TURcWN2e9T5JvwUmZic9tl8597cRMa66Pet9kpYD/y0iXs6GxwPfioivVrVjvUzSv6J4ftPnysdFxI7e71Hn8lwLKGU1EdGavd5JdkGliPiVpL+qXreqajvFtb392fAQjlzbSclK4HFJf01xd9jXgV9Ut0tVM6b9yx8gIl6RdHFnEwxEEfH/gInV7kdeDoDONUlaAvwDxctVrwGQ9PsUz2BOhqT/RfFL7gCwUdKvsuFrgbXV7FsV/Qfga8CtFDfzfwn8sKo9qp7Nkn4I/C3F98WXgM3V7VJ1SHqZyhe37HO7grwLqBOSBgN/QvGmNS9RvGTFwWy3x9l9cZOup0ia19n4iFja2Xgb2CQNpRiEU7Oip4D723cVpkTSn2cvH8me5wLvk90zpS99bzgAzE5Qf1rTs94j6emImNxVWV/gXUA5+IPewcviCD/Pniuu6aXE74sjDJM0JSLWAki6AhhW5T5V5ADIxx/0Dl4WHSaXrdUtyNb0FlatR9Xj90WHPwYelDScYijuzcr6HO8CyqE/bdL1NC+LDpI2ALeVrendV35uQAr8viiSdD4wEziP4omjrRTfE3ur2rFj8KUg8hkm6fAJLX15k64XeFl0+GPgXknbJW0D7qOPrun1guTfF5L+FPhrOk6KGwqcBjwr6aoqdu2YvAWQQ3a6+4MUb3V5eJMupdPc23lZFPW3Nb2e5vfF4d9BLs6OFPx94GcRcZWk84An++IZ4v4NoAvZB/0a4P+Q+Afdy6IoW9P7LMXlUAA20LGm942IWFPF7vU6vy+OMAg4SPEEydMBImJndkh5n+NdQJ3oj5t0PcXL4gh/AkzPrn/0KWBsRPxHYDpwd1V71sv8vjjCD4F1khYDzwI/AJBUR/FWuX2OdwF1oj9u0vUUL4sO2bIoRMSB7Aqgv46ISdm4VyJifHV72Hv8vjiSpHHAhcAr/eGqwd4F1LV+tUnXw7wsitrX9J6jeObrIujba3o9zO+LTERsBDZWux95OQA65w96By+LTER8X9KvKa7p/WX7ml524cCpnU488Ph90Y95F1AX+tsmXU/ysrBK/L7ovxwAZmaJ8lFAZmaJcgCYmSXKAWB2giQ9JGlWN7SzXdJZ3dEns+PhADAzS5QDwJIk6U5Jr0r6laRHJX1L0vmSfiFpvaR/lDQmqztK0j9I+m32fF5JU1MlPSPp9fatAUmnZfV+I+llSTOy8mGSfirpJUmvSJpd0s7tJfXH9N6SsJQ5ACw5kgrAF4BLgM9TvIQBwGLg9uys3m9RvLonFE/pfzi7qcky4J6S5j4OTAGuB/5nVrYfmBkRlwJXA38hSRQvFbErIiZmZwuX3kD+7az+/dnfNutxPhHMUjSF4mUKPgCQ9PcUr2FzBbCi+F0NFM9sBbicYlBA8YYnf97RFP87Ig4BmyR9LCsT8N8lTQUOAecCHwNeBu6StAj4SUT8Y0k7f5c9ry/5W2Y9ygFgKVKFslOAPTlv5lJ68syBCu3OBeqASRHxkaTtwNCI2CJpEvAZ4H9I+mXJ3cPa2zmIP5fWS7wLyFK0FvispKGSTgP+HcXbF26TdCOAiiZm9Z8B5mSv52bTd2Y48M/Zl//VwKiszXOA9yPib4G7gEu7c6bMjpfXNCw5EbFOUiPwErADaKJ4A5O5wP2S/hMwGFie1flT4AFJd1C81v3NXfyJZcDfS2qieK+A9ssjTAC+J+kQ8BFwa7fOmNlx8qUgLEmSTouIfdkljJ8C5qd09yoz8BaApWuxpLEUf/xd6i9/S5G3AMzMEuUfgc3MEuUAMDNLlAPAzCxRDgAzs0Q5AMzMEvX/AaR2Nyp8dP9OAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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yuHtvZmYnbFBXFSKiTdJtwEqgBnggIjZKWgg0RUQjsAR4RFIzxTX/Oe3TS9oOnAGcKukG4LqI2ATcCjwE/B7w8+xhZma9RJ2sqPc5hUIhmpqaqt0NswGsr5yO0xe+lwbOspC0PiIK5eU+E9jMLFEOADOzRDkAzMwS5QAwM0uUA8DMLFEOADOzRDkAzMwS5QAwM0uUA8DMLFEOADOzRDkAzMwS5QAwM0uUA8DMLFEOADOzRDkAzMwS5QAwM0uUA8DMLFEOADOzRDkAzMwS5QAwM0uUA8DMLFEOADOzRDkAzMwS5QAwM0uUA8DMLFEOADOzRDkAzMwS5QAwM0uUA8DMLFG5AkDSdEmvSWqWtKDC+CGSHsvGPy+pvmTcd7Ly1yT9UUn5dkkvS9ogqak7ZsbMzPIb1FUFSTXAvcC1QAuwTlJjRGwqqXYL8G5EXCBpDrAImC1pLDAHGAecA/xa0r+OiIPZdFdHxNvdOD9mZpZTni2Ay4DmiHg9Ij4ElgMzyurMAJZmr58ApklSVr48Ig5ExDagOWvPzMyqLE8AnAu8UTLckpVVrBMRbcBeoLaLaQP4paT1kuYf649Lmi+pSVJTa2trju6amVkeeQJAFcoiZ53Opp0cEZcCnwa+KWlqpT8eEYsjohARhbq6uhzdNTOzPPIEQAswsmR4BLDrWHUkDQKGA7s7mzYi2p//Gfgx3jVkZtar8gTAOmC0pAZJp1L8UbexrE4jMC97PQtYFRGRlc/JjhJqAEYDL0gaJul0AEnDgOuAV05+dszMLK8ujwKKiDZJtwErgRrggYjYKGkh0BQRjcAS4BFJzRTX/Odk026U9DiwCWgDvhkRByV9DPhx8XdiBgE/iohf9MD8meVQaU9lNZTvWTXrWSquqPcPhUIhmpp8yoB1NwdABy+LDgNnWUhaHxGF8nKfCWxmligHgJlZohwAZmaJcgCYmSXKAWBmligHgJlZohwAZmaJcgCYmSXKAWBmligHgJlZorq8FpANVAPnNHczOzHeAjAzS5QDwMwsUQ4AM7NEJfYbgPd7m5m18xaAmVmiHABmZolyAJiZJcoBYGaWKAeAmVmiHABmZolyAJiZJcoBYGaWKAeAmVmiHABmZolyAJiZJcoBYGaWKAeAmVmiHABmZolyAJiZJSpXAEiaLuk1Sc2SFlQYP0TSY9n45yXVl4z7Tlb+mqQ/ytummZn1rC4DQFINcC/waWAscJOksWXVbgHejYgLgLuBRdm0Y4E5wDhgOnCfpJqcbZqZWQ/KswVwGdAcEa9HxIfAcmBGWZ0ZwNLs9RPANEnKypdHxIGI2AY0Z+3ladPMzHpQnltCngu8UTLcAvybY9WJiDZJe4HarPy5smnPzV531SYAkuYD87PBfZJey9HnnnQW8PbJNdFXbk150rwsOnhZdPCy6NBXlsWoSoV5AqDSXy+/qe2x6hyrvNKWR8Ub5UbEYmBxZx3sTZKaIqJQ7X70BV4WHbwsOnhZdOjryyLPLqAWYGTJ8Ahg17HqSBoEDAd2dzJtnjbNzKwH5QmAdcBoSQ2STqX4o25jWZ1GYF72ehawKiIiK5+THSXUAIwGXsjZppmZ9aAudwFl+/RvA1YCNcADEbFR0kKgKSIagSXAI5KaKa75z8mm3SjpcWAT0AZ8MyIOAlRqs/tnr0f0md1RfYCXRQcviw5eFh369LJQcUXdzMxS4zOBzcwS5QAwM0uUA8DMLFEOADOzbiDp32fPk6vdl7z8I3AOkgoUz1toA/5vRLxa5S5VlaRLgSkUT957OiJ+U+UuVYWkbwLLImJPNvwHwE0RcV91e9Z7svfCMaX03pC0ISIulvSbiOh0ufQVDoBOSPq3wF8Ae4BJwNPAHwAfAV+OiDc6mXxAkvSfgRuBv8uKbgBWRMR/rV6vqqP9A19W9mJEXFKtPvU2Sauzl0OBAvASxSsAXAQ8HxFTqtW33ibpUeByoA7YWjoKiIi4qCod64QDoBOSXgSui4jW7ES2v4yImZKuBe6IiOuq3MVeJ2kzcElE7M+Gfw/4TURcWN2e9T5JvwUmZic9tl8597cRMa66Pet9kpYD/y0iXs6GxwPfioivVrVjvUzSv6J4ftPnysdFxI7e71Hn8lwLKGU1EdGavd5JdkGliPiVpL+qXreqajvFtb392fAQjlzbSclK4HFJf01xd9jXgV9Ut0tVM6b9yx8gIl6RdHFnEwxEEfH/gInV7kdeDoDONUlaAvwDxctVrwGQ9PsUz2BOhqT/RfFL7gCwUdKvsuFrgbXV7FsV/Qfga8CtFDfzfwn8sKo9qp7Nkn4I/C3F98WXgM3V7VJ1SHqZyhe37HO7grwLqBOSBgN/QvGmNS9RvGTFwWy3x9l9cZOup0ia19n4iFja2Xgb2CQNpRiEU7Oip4D723cVpkTSn2cvH8me5wLvk90zpS99bzgAzE5Qf1rTs94j6emImNxVWV/gXUA5+IPewcviCD/Pniuu6aXE74sjDJM0JSLWAki6AhhW5T5V5ADIxx/0Dl4WHSaXrdUtyNb0FlatR9Xj90WHPwYelDScYijuzcr6HO8CyqE/bdL1NC+LDpI2ALeVrendV35uQAr8viiSdD4wEziP4omjrRTfE3ur2rFj8KUg8hkm6fAJLX15k64XeFl0+GPgXknbJW0D7qOPrun1guTfF5L+FPhrOk6KGwqcBjwr6aoqdu2YvAWQQ3a6+4MUb3V5eJMupdPc23lZFPW3Nb2e5vfF4d9BLs6OFPx94GcRcZWk84An++IZ4v4NoAvZB/0a4P+Q+Afdy6IoW9P7LMXlUAA20LGm942IWFPF7vU6vy+OMAg4SPEEydMBImJndkh5n+NdQJ3oj5t0PcXL4gh/AkzPrn/0KWBsRPxHYDpwd1V71sv8vjjCD4F1khYDzwI/AJBUR/FWuX2OdwF1oj9u0vUUL4sO2bIoRMSB7Aqgv46ISdm4VyJifHV72Hv8vjiSpHHAhcAr/eGqwd4F1LV+tUnXw7wsitrX9J6jeObrIujba3o9zO+LTERsBDZWux95OQA65w96By+LTER8X9KvKa7p/WX7ml524cCpnU488Ph90Y95F1AX+tsmXU/ysrBK/L7ovxwAZmaJ8lFAZmaJcgCYmSXKAWB2giQ9JGlWN7SzXdJZ3dEns+PhADAzS5QDwJIk6U5Jr0r6laRHJX1L0vmSfiFpvaR/lDQmqztK0j9I+m32fF5JU1MlPSPp9fatAUmnZfV+I+llSTOy8mGSfirpJUmvSJpd0s7tJfXH9N6SsJQ5ACw5kgrAF4BLgM9TvIQBwGLg9uys3m9RvLonFE/pfzi7qcky4J6S5j4OTAGuB/5nVrYfmBkRlwJXA38hSRQvFbErIiZmZwuX3kD+7az+/dnfNutxPhHMUjSF4mUKPgCQ9PcUr2FzBbCi+F0NFM9sBbicYlBA8YYnf97RFP87Ig4BmyR9LCsT8N8lTQUOAecCHwNeBu6StAj4SUT8Y0k7f5c9ry/5W2Y9ygFgKVKFslOAPTlv5lJ68syBCu3OBeqASRHxkaTtwNCI2CJpEvAZ4H9I+mXJ3cPa2zmIP5fWS7wLyFK0FvispKGSTgP+HcXbF26TdCOAiiZm9Z8B5mSv52bTd2Y48M/Zl//VwKiszXOA9yPib4G7gEu7c6bMjpfXNCw5EbFOUiPwErADaKJ4A5O5wP2S/hMwGFie1flT4AFJd1C81v3NXfyJZcDfS2qieK+A9ssjTAC+J+kQ8BFwa7fOmNlx8qUgLEmSTouIfdkljJ8C5qd09yoz8BaApWuxpLEUf/xd6i9/S5G3AMzMEuUfgc3MEuUAMDNLlAPAzCxRDgAzs0Q5AMzMEvX/AaR2Nyp8dP9OAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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zS5QDwMwsUQ4AM7NEOQDMzBLlADAzS5QDwMwsUQ4AM7NEOQDMzBLlADAzS5QDwMwsUQ4AM7NEOQDMzBLlADAzS5QDwMwsUQ4AM7NEOQDMzBKVKwAkzZS0S1KTpMVVpg+StDqbvklSQ1Y+TNIGSa9J+kbFPI9nbVbeLN7MzHrAgM4qSKoD7gWuBZqBzZIaI+KZsmo3A69ExCWS5gFLgbnAEeBOYEL2qDQ/InyXdzOzGsizBTAFaIqI5yLiLWAVMKuizixgRTa8FpghSRHx+4jYSCkIzMysF8kTAMOBF8rGm7OyqnUiohU4DAzL0faD2e6fOyWpWgVJCyUVJRVbWlpyNGlmZnnkCYBqX8xxBnUqzY+IicCHssdnq1WKiGURUYiIQn19faedNTOzfPIEQDMwsmx8BLD/VHUkDQCGAgc7ajQiXsyeXwW+RWlXk/UY9ZKHmdVKngDYDIyRNFrSOcA8oLGiTiOwIBueA6yPiFNuAUgaIOnCbHggcAOw/XQ7b2ZmZ67To4AiolXSImAdUAc8EBE7JC0BihHRCCwHHpHURGnNf17b/JL2AucD50j6OHAd8DywLvvyrwN+Cvx9l74zMzPrkDpYUe91CoVCFIs+arRr9JbdL33n85cGfy7a9Z9lIWlLRBQqy30msJlZohwAZmaJcgCYmSXKAWBmligHgJlZohwAZmaJcgCYmSXKAWBmligHgJlZojq9FET/0n/O7DMzO1veAjAzS5QDwMwsUQ4AM7NEOQDMzBLlADAzS5QDwMwsUQ4AM7NEOQDMzBLlADAzS1SuAJA0U9IuSU2SFleZPkjS6mz6JkkNWfkwSRskvSbpGxXzTJa0LZvnHkm95TRdM7MkdBoAkuqAe4HrgXHAjZLGVVS7GXglIi4B7gaWZuVHgDuBL1dp+n5gITAme8w8kzdgZmZnJs8WwBSgKSKei4i3gFXArIo6s4AV2fBaYIYkRcTvI2IjpSA4QdK7gPMj4smICOBh4ONn80bMzOz05AmA4cALZePNWVnVOhHRChwGhnXSZnMnbQIgaaGkoqRiS0tLju6amVkeeQKg2r75ystZ5qlzRvUjYllEFCKiUF9f30GTZmZ2OvIEQDMwsmx8BLD/VHUkDQCGAgc7aXNEJ22amVk3yhMAm4ExkkZLOgeYBzRW1GkEFmTDc4D12b79qiLiX4BXJf1JdvTP54DHTrv3ZmZ2xjq9IUxEtEpaBKwD6oAHImKHpCVAMSIageXAI5KaKK35z2ubX9Je4HzgHEkfB66LiGeAW4GHgD8Afpg9zMysh6iDFfVep1AoRLFYPIsWesupBr1hmXtZWDX+XLTrP8tC0paIKFSW+0xgM7NEOQDMzBLlADAzS5QDwMwsUQ4AM7NEOQDMzBLlADAzS5QDwMwsUQ4AM7NEdXopCLP+r/+c8Wl2OrwFYGaWKAeAmVmiHABmZolyAJiZJcoBYGaWKAeAmVmiHABmZolyAJiZJSpXAEiaKWmXpCZJi6tMHyRpdTZ9k6SGsml3ZOW7JP1pWfleSdskbZV0Nvd5NDOzM9DpmcCS6oB7gWuBZmCzpMbsxu5tbgZeiYhLJM0DlgJzJY2jdIP48cC7gZ9K+tcRcSyb7+qIONCF78fMzHLKswUwBWiKiOci4i1gFTCros4sYEU2vBaYIUlZ+aqIeDMi9gBNWXtmZlZjeQJgOPBC2XhzVla1TkS0AoeBYZ3MG8CPJW2RtPBULy5poaSipGJLS0uO7pqZWR55AqDalbIqr1p1qjodzTs1Iq4Erge+KGl6tRePiGURUYiIQn19fY7umplZHnkCoBkYWTY+Ath/qjqSBgBDgYMdzRsRbc+/BR7Fu4bMzHpUngDYDIyRNFrSOZR+1G2sqNMILMiG5wDrIyKy8nnZUUKjgTHALyUNkXQegKQhwHXA9rN/O2ZmllenRwFFRKukRcA6oA54ICJ2SFoCFCOiEVgOPCKpidKa/7xs3h2SvgM8A7QCX4yIY5LeCTxa+p2YAcC3IuJH3fD+zMzsFFRaUe8bCoVCFItnc8qAb/zRzsuinZdFOy+Ldv1nWUjaEhGFynKfCWxmligHgJlZohwAZmaJcgCYmSXKAWBmligHgJlZohwAZmaJcgCYmSXKAWBmligHgJlZohwAZmaJcgCYmSXKAWBmligHgJlZohwAZmaJcgCYmSXKAWBmligHgJlZohwAZmaJyhUAkmZK2iWpSdLiKtMHSVqdTd8kqaFs2h1Z+S5Jf5q3TTMz616dBoCkOuBe4HpgHHCjpHEV1W4GXomIS4C7gaXZvOOAecB4YCZwn6S6nG2amVk3yrMFMAVoiojnIuItYBUwq6LOLGBFNrwWmCFJWfmqiHgzIvYATVl7edo0M7NuNCBHneHAC2XjzcD7T1UnIlolHQaGZeW/qJh3eDbcWZsASFoILMxGX5O0K0efu9OFwIGza0Jd0pFewMuinZdFOy+Ldr1lWYyqVpgnAKq9euSsc6ryalselW2WCiOWAcs66mBPklSMiEKt+9EbeFm087Jo52XRrrcvizy7gJqBkWXjI4D9p6ojaQAwFDjYwbx52jQzs26UJwA2A2MkjZZ0DqUfdRsr6jQCC7LhOcD6iIisfF52lNBoYAzwy5xtmplZN+p0F1C2T38RsA6oAx6IiB2SlgDFiGgElgOPSGqitOY/L5t3h6TvAM8ArcAXI+IYQLU2u/7tdYteszuqF/CyaOdl0c7Lol2vXhYqraibmVlqfCawmVmiHABmZolyAJiZJcoBYGbWBST9u+x5aq37kpd/BM5BUoHSeQutwP+NiN/UuEs1JelKYBqlk/d+HhG/qnGXakLSF4GVEXEoG/8j4MaIuK+2Pes52WfhlFL6bEjaGhGXS/pVRHS4XHoLB0AHJP0b4G+AQ8Bk4OfAHwFHgc9GxAsdzN4vSfpPwKeAf8yKPg6siYj/Urte1UbbP3xF2VMRcUWt+tTTJG3IBgcDBeBpSlcAuAzYFBHTatW3nibp28AHgHpgd/kkICLispp0rAMOgA5Iegq4LiJashPZ/jYiZku6Frg9Iq6rcRd7nKSdwBURcSQb/wPgVxFxaW171vMk/RqYlJ302Hbl3F9HxPja9qznSVoF/NeI2JaNTwC+HBGfr2nHepikf0Xp/KaPVU6LiOd7vkcdy3MtoJTVRURLNryP7IJKEfETSf+jdt2qqb2U1vaOZOODOHltJyXrgO9I+jtKu8NuAX5U2y7VzNi2L3+AiNgu6fKOZuiPIuL/AZNq3Y+8HAAdK0paDvwTpctVPw4g6Q8pncGcDEn/k9KX3JvADkk/ycavBTbWsm819O+BLwC3UtrM/zHwzZr2qHZ2Svom8A+UPhefAXbWtku1IWkb1S9u2et2BXkXUAckDQT+nNJNa56mdMmKY9luj4t64yZdd5G0oKPpEbGio+nWv0kaTCkIp2dFPwPub9tVmBJJf50NPpI9zwdeJ7tnSm/63nAAmJ2hvrSmZz1H0s8jYmpnZb2BdwHl4H/0dl4WJ/lh9lx1TS8l/lycZIikaRGxEUDSB4EhNe5TVQ6AfPyP3s7Lot3UirW6xdma3pKa9ah2/Llo92fAg5KGUgrFw1lZr+NdQDn0pU267uZl0U7SVmBRxZrefZXnBqTAn4sSSe8FZgMXUzpxtIXSZ+JwTTt2Cr4URD5DJJ04oaU3b9L1AC+Ldn8G3Ctpr6Q9wH300jW9HpD850LSXwB/R/tJcYOBc4EnJV1Vw66dkrcAcshOd3+Q0q0uT2zSpXSaexsvi5K+tqbX3fy5OPE7yOXZkYJ/CPwgIq6SdDHwWG88Q9y/AXQi+0e/Bvg/JP6P7mVRkq3pfZTScigAW2lf07stIh6vYfd6nD8XJxkAHKN0guR5ABGxLzukvNfxLqAO9MVNuu7iZXGSPwdmZtc/+jAwLiL+AzATuLumPeth/lyc5JvAZknLgCeBbwBIqqd0q9xex7uAOtAXN+m6i5dFu2xZFCLizewKoD+NiMnZtO0RMaG2Pew5/lycTNJ44FJge1+4arB3AXWuT23SdTMvi5K2Nb1fUDrzdSn07jW9bubPRSYidgA7at2PvBwAHfM/ejsvi0xEfF3STymt6f1t25peduHA6R3O3P/4c9GHeRdQJ/raJl138rKwavy56LscAGZmifJRQGZmiXIAmJklygFgdoYkPSRpThe0s1fShV3RJ7PT4QAwM0uUA8CSJOlOSb+R9BNJ35b0ZUnvlfQjSVsk/bOksVndUZL+SdKvs+eLy5qaLukJSc+1bQ1IOjer9ytJ2yTNysqHSPq+pKclbZc0t6ydL5XVH9tzS8JS5gCw5EgqAJ8ErgA+QekSBgDLgC9lZ/V+mdLVPaF0Sv/D2U1NVgL3lDX3LmAacAPwV1nZEWB2RFwJXA38jSRRulTE/oiYlJ0tXH4D+QNZ/fuz1zbrdj4RzFI0jdJlCt4AkPRdStew+SCwpvRdDZTObAX4AKWggNINT/66vSn+d0QcB56R9M6sTMB/kzQdOA4MB94JbAPukrQU+F5E/HNZO/+YPW8pey2zbuUAsBSpStk7gEM5b+ZSfvLMm1XanQ/UA5Mj4qikvcDgiHhW0mTgI8B/l/TjsruHtbVzDP9fWg/xLiBL0Ubgo5IGSzoX+LeUbl+4R9KnAFQyKav/BDAvG56fzd+RocBvsy//q4FRWZvvBl6PiH8A7gKu7Mo3ZXa6vKZhyYmIzZIagaeB54EipRuYzAful/QfgYHAqqzOXwAPSLqd0rXub+rkJVYC35VUpHSvgLbLI0wEvibpOHAUuLVL35jZafKlICxJks6NiNeySxj/DFiY0t2rzMBbAJauZZLGUfrxd4W//C1F3gIwM0uUfwQ2M0uUA8DMLFEOADOzRDkAzMwS5QAwM0vU/wdEJGtKDIKNwAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ezCxxDnozs8Q56M3MEpfoLRB82b+Z2XE+ojczS5yD3swscQ56M7PEOejNzBLnoDczS1yhoJc0W9IrkpokLa4wfZikR/Ppz0qqy9trJW2QdFjSd3q2dDMzK6LLoJdUA9wLXAc0AAskNZR1uxl4KyIuBpYBS/P2I8DXgDt7rGIzM+uWIkf004CmiNgVEe8Bq4E5ZX3mACvz4bXALEmKiP+IiE1kgW9mZlVQJOgvBF7tMN6ct1XsExGtwCGgticKNDOzM1Mk6CtdZlp+yWeRPp2/gLRIUqOkxpaWlqKzmZlZAUWCvhkY02F8NLC/sz6ShgAjgQNFi4iI5RFRiojSqFGjis5mZmYFFAn6zcB4SfWSzgbmA+vK+qwDFubD84D1EeEbvZiZ9QNd3tQsIlol3Q48DtQAD0TENklLgMaIWAesAB6R1ER2JD//+PyS9gAfBM6W9DngkxHxUs+/FTMzq6TQ3Ssj4jHgsbK2r3cYPgJc38m8dWdQn5mZnSFfGWtmljgHvZlZ4hz0ZmaJc9CbmSXOQW9mljgHvZlZ4hJ9OLhZJf3hofG+jtD6no/ozcwS56A3M0ucg97MLHEOejOzxDnozcwS56A3M0ucg97MLHEOejOzxDnozcwS56A3M0ucg97MLHEOejOzxDnozcwS56A3M0ucg97MLHEOejOzxDnozcwS56A3M0ucg97MLHEOejOzxDnozcwS56A3M0ucg97MLHEOejOzxDnozcwS56A3M0ucg97MLHGFgl7SbEmvSGqStLjC9GGSHs2nPyuprsO0r+Ttr0j6zz1XupmZFdFl0EuqAe4FrgMagAWSGsq63Qy8FREXA8uApfm8DcB8YCIwG7gvX56ZmfWRIkf004CmiNgVEe8Bq4E5ZX3mACvz4bXALEnK21dHxLsRsRtoypdnZmZ9pEjQXwi82mG8OW+r2CciWoFDQG3Bec3MrBcNKdBHFdqiYJ8i8yJpEbAoHz0s6ZUCdfW284E3zmwRld7+gOR10e4M10Uy6wG8LjrqD+tiXGcTigR9MzCmw/hoYH8nfZolDQFGAgcKzktELAeWF6ilz0hqjIhStevoD7wu2nldtPO6aNff10WRUzebgfGS6iWdTfbh6rqyPuuAhfnwPGB9RETePj//Vk49MB74cc+UbmZmRXR5RB8RrZJuBx4HaoAHImKbpCVAY0SsA1YAj0hqIjuSn5/Pu03S94GXgFbg9yLiWC+9FzMzq0DZgbeVk7QoP6U06HldtPO6aOd10a6/rwsHvZlZ4nwLBDOzxDnozcwS56A3M0tcke/RDwqSSmTf+W8F/i0iXq5ySVUl6QpgBtkFbk9GxE+qXFJVSPo9YFVEHMzHPwQsiIj7qltZ38m3hU4Npm1D0h9ExD2SpkfEk9Wup6hB/2GspF8D/hQ4CEwFngQ+BBwFfjMiXj3N7EmS9HXgeuCv8qbPAWsi4k+qV1V1SHo+Ii4ra3suIi6vVk19TdKGfHA4UAK2kl3KeSnwbETMqFZtfe349iDpJxFx2j+A/YmP6OHPgE9GREt+Udf/iojpkj5Bdn3AJ6tbXlUsAC6PiCMAkr4B/AQYdEEPnCVJ+QWAx+/menaVa+pTEXENgKTVwKKIeCEfnwTcWc3aqmC7pD3AKEk/7dAuICLi0uqUdXoOeqiJiJZ8eB/5/SIi4keS/qx6ZVXVHrKjtyP5+DBgZ9Wqqa7Hge9L+nOy01i3AP9Q3ZKqZsLxkAeIiBclXXa6GVITEQsk/RLZdvHZatdTlIMeGiWtAP6Z7LbKGwEkfYDsSuBBQ9L/Jguzd4Ftkn6Uj38C2FTN2qroj4DfBW4lO2r7R+C7Va2oerZL+i7wF2TbxReB7dUtqe9FxP8FplS7ju7wOXppKPA7ZA9V2Up2i4djkn4BuCAi9la1wD4kaeHppkfEytNNt7RJGk72B29m3vQEcP/xU3yDiaQXqHAnXvrpKZxBH/RmpzPQdmjrG5K+mQ8+kv++EXib/AFM/e0A0UGf8w7dzuui3UDboXuTt4t2kp6MiOldtfUXPkff7u/z3xV36EHG66Ld9LKdd3G+Qy+pWkXV4+2i3QhJMyJiE4CkK4ERVa6pUz6izw20v9C9yeuinaTngdvLduj7yr9bPxh4u2iXX0T2INlDloLs8am/3V8vHvMRfbsB9Re6l3ldtPtt4EFJJ+3Q1S2parxdAJIuAq4F/oXsSvoWsj/+h6pa2Gk46Nt5h27ndcHA3KF72aDfLiT9PvAZsm2iBDwPnAM8Lem2iNhYxfI65VM3nNih5wJjGeQ7tNdFpmyH/hTZDv0W2brptzt0b/F2kck/kL4s/wr2B4DHIuJqSWOBH/TXW2MM+rtX5jv0n9N+H4/htP+FvrqKpfU5r4uT/A4wO7+/z8eBhoj4r8BsYFlVK+tj3i5OcfxMyDDgXICI2AcMrVpFXYmIQf0DvEB2GwSADwAb8+GxwHPVrs/roqrrYlg+/CFgS4dpL1a7Pm8XVVsXfwD8FFgOvAzclLePAp6odn2d/fgcfWYIcIyyv9D5VbODjddF5rvAZknPkF0JuhRA0ijgQDULqxJvF0Bktyj+J+ASshsgvpy3t9B+xXC/46D3Dt2R10VuoO7QvcTbRQcRsQ3YVu06usMfxgKSJpLt0C+GHzjidWGn8HYxsDnozcwSN+i/dWNmljoHvZlZ4hz0Zl2Q9JCkeT2wnD2Szu+Jmsy6w0FvZpY4B70lTdLXJL0s6UeSvifpTkkXSfoHSVsk/aukCXnfcZL+WdJP899jOyxqpqSnJO06fnQv6Zy8308kvSBpTt4+QtLfSdoq6UVJN3RYzh0d+k/ouzVhg5mD3pIlqQT8OnA58Hmyy/chu6rxjoiYCtwJ3Je3fwd4OLIHaKwCvt1hcb8MzAA+DXwjbzsCzI2IK4BrgD+VJLLbJOyPiCkRMYmTHyb+Rt7//vy1zXqdL5iylM0gu9HUOwCS/pbsPi1XAmuyTAayqz0BPkb2BwGyh2t8s31R/E1EtAEvSfrFvE3A/5A0E2gDLgR+keyWAXdLWgr8MCL+tcNy/ir/vaXDa5n1Kge9pUwV2s4CDkaxB4d0vMjk3QrLvZHsHidTI+KopD3A8IjYIWkq2V0v/6ekf4z2J1IdX84xvP9ZH/GpG0vZJuAzkoZLOgf4L2SPvtst6XoAZabk/Z8C5ufDN+bzn85I4P/lIX8NMC5f5oeBtyPiL4C7gSt68k2ZdZePKCxZEbFZ0jpgK7AXaCR7WMaNwP2S/hvZrWVX531+H3hA0l1k91u/qYuXWAX8raRGsvvVH781wGTgW5LagKPArT36xsy6ybdAsKRJOiciDucPiXgCWBT99LmeZr3FR/SWuuWSGsg+hF3pkLfByEf0ZmaJ84exZmaJc9CbmSXOQW9mljgHvZlZ4hz0ZmaJc9CbmSXu/wPYfZ5LRki/YgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ssc.stop(stopSparkContext=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}