ml-finance-python

lda_earnings_calls.ipynb

(1501295B)

 {
  "cells": [
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
    "source": [
     "# Topic Modeling with Earnings Call Transcripts"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
    "source": [
     "## Imports & Settings"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T22:28:28.315529Z",
      "start_time": "2018-12-03T22:28:27.800667Z"
     },
     "slideshow": {
      "slide_type": "fragment"
     }
    },
    "outputs": [],
    "source": [
     "%matplotlib inline\n",
     "import warnings\n",
     "from collections import Counter\n",
     "from pathlib import Path\n",
     "\n",
     "import numpy as np\n",
     "import pandas as pd\n",
     "from scipy import sparse\n",
     "\n",
     "# Visualization\n",
     "import matplotlib.pyplot as plt\n",
     "from matplotlib.ticker import FuncFormatter, ScalarFormatter\n",
     "import seaborn as sns\n",
     "import ipywidgets as widgets\n",
     "from ipywidgets import interact, FloatRangeSlider\n",
     "\n",
     "# spacy for language processing\n",
     "import spacy\n",
     "from spacy.lang.en.stop_words import STOP_WORDS\n",
     "\n",
     "# sklearn for feature extraction\n",
     "from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer\n",
     "from sklearn.feature_extraction import stop_words\n",
     "from sklearn.model_selection import train_test_split\n",
     "from sklearn.externals import joblib\n",
     "\n",
     "# gensim for topic models\n",
     "from gensim.models import LdaModel\n",
     "from gensim.models import CoherenceModel\n",
     "from gensim.corpora import Dictionary\n",
     "from gensim.matutils import Sparse2Corpus\n",
     "\n",
     "# topic model viz\n",
     "import pyLDAvis\n",
     "from pyLDAvis.gensim import prepare\n",
     "\n",
     "# evaluate parameter settings\n",
     "import statsmodels.api as sm"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 3,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T22:28:28.349631Z",
      "start_time": "2018-12-03T22:28:28.345734Z"
     }
    },
    "outputs": [],
    "source": [
     "plt.style.use('fivethirtyeight')\n",
     "pyLDAvis.enable_notebook()\n",
     "warnings.filterwarnings('ignore')\n",
     "pd.options.display.float_format = '{:,.2f}'.format"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 4,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T22:43:10.607055Z",
      "start_time": "2018-12-03T22:43:10.604132Z"
     }
    },
    "outputs": [],
    "source": [
     "PROJECT_DIR = Path().cwd().parent.parent\n",
     "earnings_path = PROJECT_DIR / '03_alternative_data' / '02_earnings_calls' / 'transcripts' / 'parsed'\n",
     "experiment_path = Path('experiments')\n",
     "clean_text = Path('data', 'clean_text.txt')"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 5,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T23:07:21.936442Z",
      "start_time": "2018-12-03T23:07:21.755316Z"
     }
    },
    "outputs": [],
    "source": [
     "stop_words = set(pd.read_csv('http://ir.dcs.gla.ac.uk/resources/linguistic_utils/stop_words', \n",
     "                         header=None, \n",
     "                         squeeze=True))"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
      "slide_type": "skip"
     }
    },
    "source": [
     "## Load Earnings Call Transcripts"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "The document are the result of scraping the [SeekingAlpha Earnings Transcripts](https://seekingalpha.com/earnings/earnings-call-transcripts) as described in n Chapter 3 on [Alternative Data](../../03_alternative_data/02_earnings_calls)."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "The transcripts consist of individual statements by company representative, an operator and usually a Q&A session with analysts. We will treat each of these statements as separate documents, ignoring operator statements, to obtain 22,766 items with mean and median word counts of 144 and 64, respectively (or as many as you were able to scrape):"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 8,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T19:04:07.265696Z",
      "start_time": "2018-12-03T19:04:06.309261Z"
     }
    },
    "outputs": [],
    "source": [
     "documents = []\n",
     "for transcript in earnings_path.iterdir():\n",
     "    content = pd.read_csv(transcript / 'content.csv')\n",
     "    documents.extend(content.loc[(content.speaker!='Operator') & (content.content.str.len() > 5), 'content'].tolist())"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 9,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T19:13:34.539000Z",
      "start_time": "2018-12-03T19:13:34.534738Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "26314"
       ]
      },
      "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "len(documents)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Explore Data"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Tokens per document"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 10,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T19:30:35.498630Z",
      "start_time": "2018-12-03T19:30:35.092568Z"
     }
    },
    "outputs": [
     {
      "data": {
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "word_count = pd.Series(documents).str.split().str.len()\n",
     "ax = sns.distplot(np.log(word_count), kde=False)\n",
     "ax.set_title('Log word count distribution');"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 11,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T19:27:08.057396Z",
      "start_time": "2018-12-03T19:27:08.046110Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "count   26,314.00\n",
        "mean       139.59\n",
        "std        287.04\n",
        "min          1.00\n",
        "10%          4.00\n",
        "20%         13.00\n",
        "30.0%       30.00\n",
        "40%         46.00\n",
        "50%         63.00\n",
        "60%         83.00\n",
        "70%        113.00\n",
        "80%        163.00\n",
        "90%        279.00\n",
        "max      5,718.00\n",
        "dtype: float64"
       ]
      },
      "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "word_count.describe(percentiles=np.arange(.1, 1.0, .1))"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 12,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T19:04:13.427101Z",
      "start_time": "2018-12-03T19:04:12.983048Z"
     }
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "5000 10000 15000 20000 25000 "
      ]
     }
    ],
    "source": [
     "token_count = Counter()\n",
     "for i, doc in enumerate(documents, 1):\n",
     "    if i % 5000 == 0:\n",
     "        print(i, end=' ', flush=True)\n",
     "    token_count.update(doc.split())"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Most frequent tokens"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 13,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T19:04:14.272222Z",
      "start_time": "2018-12-03T19:04:13.428581Z"
     }
    },
    "outputs": [
     {
      "data": {
       "image/png": 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\n",
       "text/plain": [
        "<Figure size 576x720 with 1 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "(pd.DataFrame(token_count.most_common(), columns=['token', 'count'])\n",
     " .pipe(lambda x: x[~x.token.str.lower().isin(stop_words)])\n",
     " .set_index('token')\n",
     " .squeeze()\n",
     " .iloc[:50]\n",
     " .sort_values()\n",
     " .plot\n",
     " .barh(figsize=(8, 10)));"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Preprocess Transcripts"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "We use spaCy to preprocess these documents as illustrated in [Chapter 13 - Working with Text Data](../../13_working%20with_text_data) and store the cleaned and lemmatized text as a new text file. \n",
     "\n",
     "Data exploration reveals domain-specific stopwords like ’year’ and ‘quarter’ that we remove in a second step, where we also filter out statements with fewer than 10 words so that some 16,150 remain."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 14,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-11-26T19:23:52.937810Z",
      "start_time": "2018-11-26T19:23:52.934995Z"
     }
    },
    "outputs": [],
    "source": [
     "def clean_doc(d):\n",
     "    doc = []\n",
     "    for t in d:\n",
     "        if not any([t.is_stop, t.is_digit, not t.is_alpha, t.is_punct, t.is_space, t.lemma_ == '-PRON-']):        \n",
     "            doc.append(t.lemma_)\n",
     "    return ' '.join(doc)    "
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 17,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T22:57:27.950577Z",
      "start_time": "2018-12-03T22:57:27.719343Z"
     }
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "3.80% 7.60% 11.40% 15.20% 19.00% 22.80% 26.60% 30.40% 34.20% 38.00% 41.80% 45.60% 49.40% 53.20% 57.00% 60.80% 64.60% 68.40% 72.20% 76.01% 79.81% 83.61% 87.41% 91.21% 95.01% 98.81% "
      ]
     }
    ],
    "source": [
     "nlp = spacy.load('en') \n",
     "clean_docs = []\n",
     "for i, document in enumerate(documents, 1):\n",
     "    if i % 1000 == 0: \n",
     "        print(f'{i/len(documents):.2%}', end=' ', flush=True)\n",
     "    doc = nlp(document)\n",
     "    cleaned = clean_doc(doc)\n",
     "    if len(cleaned) > 0:\n",
     "        clean_docs.append(cleaned)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 18,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-11-26T19:43:25.737431Z",
      "start_time": "2018-11-26T19:43:25.723018Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "12133756"
       ]
      },
      "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "clean_text.write_text('\\n'.join(clean_docs))"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
    "source": [
     "## Vectorize data"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 19,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T23:08:42.399369Z",
      "start_time": "2018-12-03T23:08:42.191453Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "18600"
       ]
      },
      "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "docs = []\n",
     "for line in clean_text.read_text().split('\\n'):\n",
     "    line = [t for t in line.split() if t not in stop_words]\n",
     "    if len(line) > 10:\n",
     "        docs.append(' '.join(line))\n",
     "\n",
     "len(docs)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 20,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T23:08:54.402930Z",
      "start_time": "2018-12-03T23:08:54.177066Z"
     }
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "5000 10000 15000 "
      ]
     }
    ],
    "source": [
     "token_count = Counter()\n",
     "for i, doc in enumerate(docs, 1):\n",
     "    if i % 5000 == 0:\n",
     "        print(i, end=' ', flush=True)\n",
     "    token_count.update(doc.split())\n",
     "token_count = pd.DataFrame(token_count.most_common(), columns=['token', 'count'])    "
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 21,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T23:09:13.609931Z",
      "start_time": "2018-12-03T23:09:13.393502Z"
     }
    },
    "outputs": [
     {
      "data": {
       "image/png": 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h7u5OVlaWRpIdNGgQTZo0IS4uDh0dHVJSUqhRo8bz/UhClIKKUsWmovSjPEjs6lCpqiiZmpoyd+5ctLS0aNSoESdPniQyMvKZkvDFixe5e/cu/v7+WFtbA+Dk5FTsNffu3SMyMhJDQ0MA+vfvT0xMjPL9vHnzCA8Px9/fHwBbW1vS0tJYtWoVgwcP5vz589SqVYvOnTtjYGAAPBixFzp//jzDhg2jUaNGANjZ2ZXg1xCi7FSEdZpqXi8qsasz9kdVuOnoV199VaPWrpubG+np6dy4ceOp17q4uNC+fXvatGlD3759WbVqFVevXi32mgYNGigJGB5UQiq85urVq1y4cIHQ0FAsLS2V/4SHh5OWlgZAhw4dsLKywtXVlUGDBrFmzRpu3ryptBccHMyIESPw8/Nj/vz5StlEIYQQosIl4eJoa2sXqWpU+OwVoFq1anz77bds3LgRZ2dnoqOjadGiBUeOHHlimw9XToIHlZAKn/cW/t+FCxeSkJCg/Cc5OZnffvsNAAMDA3755Re++OILrKys+Pjjj3Fzc+PixYsATJw4kT179uDr68vevXvx9PQkOjr6+X8MIYQQlV6Fm47ev38/BQUFymh43759mJubU6dOHerXr8+lS5eUc+/cucOJEydo2rSpckxLSws3Nzfc3NwYP3487u7ufPvttxpTxM/KxMQECwsL0tLS6NOnzxPP09HRoV27drRr146JEyfi4ODAjz/+SP/+/QGwt7fH3t6eoUOHMmrUKKKjo+nbt+8T21Pj0hE1T0+pOXYh1K7CJeFLly4xYcIEBg4cyNGjR/nkk0+Ut5/btm3L6tWr6dy5M/Xr12fBggUaI+F9+/axe/dufHx8MDY25vDhw/z99984Ojr+6/5MmDCBcePGYWhoyBtvvMHdu3c5dOgQFy9eZNSoUfzwww+kpaXRpk0b6tatS0JCArdu3aJRo0bcvn2bKVOmKM+or1y5wm+//UbLli2f+3cSQghR+VW4JBwQEEB+fj4+Pj5oaWnRt29fgoODAQgNDeXcuXP83//9H7Vq1WL06NHKtC9AnTp12LNnD5999hlZWVlYWloyduxYevfu/a/7069fP/T19fnkk0+YPn06NWrU4JVXXmHQoEEAGBoasnXrVubOncvt27d5+eWX+eSTT2jTpg15eXlkZmYSFBTEP//8w0svvUSnTp2YMWPG8/1IQgghqgSpoiQqBDVPyUrsErvaqDn2R1WqF7OEEEKIqkSSsBBCCFFOJAmXoaCgoOd6Hi2EEKJqq3AvZlVGZ8+exdXVlZ9//pnmzZs/d3tSRUltnj12NS5fE6IqU91IOC8vr7y7IIQQQgBVIAlnZ2czZMgQLC0tadiwIQsXLqR3794EBQUBD7aynD17Nh988AHW1tbK0qKUlBT8/f2VaktBQUFkZWUBkJqaipGREZcvXwYgJycHY2NjevXqpdw3KiqKFi1aAODq6go82MLSyMgIX19fjT4uW7aMV155BRsbG4KDg8nJySnbH0UIIUSlUOmnoydPnkxSUhKrV6/GzMyMefPmkZycrJEIIyMjGTNmDLt376agoICcnBx69epF8+bNiYuL4/r164SEhDBs2DCio6NxdHTExMSExMREevbsyZ49e6hTpw6//fYb9+7dQ0dHh8TERLy8vADYtWsXHTt2ZMOGDTRp0gQ9PT3l3snJyZiamrJp0yb+/vtv+vfvj4ODA6NGjXrhv5Wo/Kpi5ZmqGNOzktjVoVJVUSqJW7dusXr1aj799FM6dOgAwJIlS4pUTmrTpg0hISHK56ioKLKzs1m+fLlS+WjRokX4+flx+vRp7Ozs8PT0JCEhgZ49e5KYmIi/vz87d+7kwIEDuLm5kZSUxLRp0wCoV68eAC+99BKmpqYa9zYwMGDhwoXo6Ojg6OhIt27diI+PlyQs/pWqtrZSzetFJXZ1xv6oSj0dnZaWxt27dzW2gaxVq1aRJPzoy1Kpqak4OzsrCRigdevWaGtrc/z4cQC8vLxITEwEIDExEW9vbzw9PUlMTOTUqVOkp6crI+HiODo6oqPzv3/rmJmZceXKlZIHK4QQosqp1En40YpKT1KrVq1nvq6wcISXlxcnT57k1KlT/PHHH3h5eeHl5UVCQgKJiYnY2dlhYWHx1Hs/rkrTs/ZbCCFE1Vapp6Pt7OzQ1dXlwIED2NraAg9eojp69Kjy+XEaN25MTEwMN2/eVEbDe/bsIT8/Xyn2UPhceP78+djZ2WFsbIy3t7dSzOHhUXDhM+D79++XSlxqXIai5ukpNccuhNpV6pFw7dq1effdd5k6dSrx8fEcP36cESNGaJRCfJyAgAD09fUZOnQoKSkpJCUlERoaip+fH3Z2dsp5np6erFu3Dm9vbwBsbGyoV68e3333nUYSNjY2pmbNmsTFxfHPP/8ob1kLIYQQxanUSRhgxowZeHh40KdPH/z8/HB2dqZZs2bUqFHjidfo6+uzYcMGbt68iY+PD4GBgbRq1YqIiAiN87y9vbl//75GwvXy8ipyTEdHhzlz5hAdHU3jxo0JDAws/UCFEEJUOVWuilJubi4uLi4MHz6c4cOHl3d3xDNS85SsxC6xq42aY39UpX4mDHDo0CFOnDhBy5YtuXnzJosXL+bWrVv06NGjvLsmhBBCFKvSJ2GApUuXcvLkSapVq4aLiwvbtm3D0lJ9LzcJIYSoXCp9EnZ1dWX37t2l0lZQUBDXrl1j7dq1pdKer68vTk5OzJs3r1TaE0IIUbVU+iRcFUkVpapLjcvPhBBPVunfjhZCCCEqK0nCT5Cbm8uECRNo2LAhpqamvPbaayQnJ2uck5SUhI+PD6ampjRs2JCJEycWWyoxPj4ea2trvvjii7LuvhBCiEpApqOfICwsjE2bNhEREYGtrS1Lly6lV69e7N+/HzMzM9LT0wkICKB3795ERkaSlpbGiBEj0NbWZtasWUXa27x5M8OGDeOTTz6he/fu5RCRqAieVDlGTRVlHiWxq5OaYq+yVZTKSnZ2Np9//jmffPIJnTp1AuDjjz/ml19+YeXKlUyePJlVq1ZhamrKggUL0NbWxtHRkalTpxIaGsqkSZPQ19dX2vvyyy8JCwsjKiqKjh07lldYogJ43P8Y1bxmUmKX2NVOpqMfo7A6k7u7u3KsWrVquLm5KVWWUlNTadWqFdra//sJPTw8yMvL4/Tp08qxbdu2MWbMGNavXy8JWAghhAZJwo9RWOXocftPFx4rbn/qh487OztjZmZGdHS0VE8SQgihQaajH8POzg49PT2Sk5OVakz3799n79699OrVC3hQienbb78lPz9fGQ0nJyejp6fHyy+/rLRlY2PD3LlzeeuttwgJCWHx4sXFFpcAdS5jkekpIYQayUj4MWrVqsX7779PeHg4O3bsIDU1lVGjRnHlyhUGDhwIwIABA7h06RKjR48mNTWVH3/8kfDwcAYNGqTxPBjA1taW7777jri4OEJCQmRELIQQApCR8BOFh4cD8MEHH5CVlUXTpk1Zv349ZmZmAFhYWBAbG0tYWBje3t4YGhrSq1cvwsLCHtveyy+/zPfff89bb73FyJEjWbRo0VNHxEIIIaq2KldFSVROap6OltgldrVRc+yPkuloIYQQopxIEhZCCCHKiSThZ+Dr68vYsWPLuxtCCCGqGHkx6wUxMjIiKioKf3//p58rVZSqJDUuPRNCFE9GwsW4d++eLCcSQghRZiptEvb19WXUqFFMmjQJW1tb7O3tWbZsGbm5uYwZMwZra2uaNGnCN998o1wzbdo0Xn31VczMzHBxcSEsLIw7d+4o38+ePRsPDw9iYmJo1qwZJiYmZGdnF7n346ohrV69mtatW2NqakrLli1ZunQp+fn5ALi4uADw3nvvYWRkpHwWQgihbpV6Ojo2Npbg4GDi4uLYtm0bEydOJC4uDh8fH3bv3s2aNWsYMWIE7dq1w9zcHH19fSIiIjA3N1c24NDT02Py5MlKm2fPnmX9+vV8+eWX6OnpUaNGDY17Pq4aUlRUFB9++CFz587F1dWVY8eOERISgq6uLoMHD+bnn3/GwcFBKQhRrVq1F/o7iYqhuKoxaqoo8yiJXZ3UFHtxy7Eq7TphX19f8vLy2LlzJ/BgL2cHBwdatWqljH7v3r2LhYUFK1eufOyz2M8//5wlS5bwxx9/AA9GwgsWLODo0aOYmJho3MvJyQlnZ2fCwsL48ssvNYoxNGnShMmTJ/POO+8oxyIjI4mKimLPnj2APBMWT34mrOY1kxK7xK52lXok7OzsrPytpaWFsbGxxjFdXV2MjIy4cuUK8GAUu2zZMk6fPk12djb379/n/v37Gm1aWFhoJOBC27Zt44svvmDbtm24ubkpx69evcqFCxcIDQ1l9OjRynF5niyEEOJpKnUS1tXV1fispaWFjo5OkWP5+fns27eP999/n/Hjx/Phhx9iaGjItm3bmDJlisb5tWrVeuy9nJ2d0dLSIjo6mlatWilbThY+9124cCGtW7curdCEEEKoQKVOwiXx22+/YW5uzrhx45Rj58+ff+brn1QNycTEBAsLC9LS0ujTp88Tr9fV1S0y6n4SNS5lkekpIYQaVdq3o0vKwcGBixcvsm7dOs6cOcOqVavYsGFDidp4UjWkCRMm8Mknn7B06VL++usvjh49ytdff83ChQuVa62trYmPj+fy5ctkZmaWamxCCCEqJ9Uk4c6dOzNixAgmTpyIp6cnP//8M//9739L3E5hNaS4uDhGjhxJQUEB/fr1IyIigrVr1+Ll5UXnzp2JiorCxsZGuW7mzJkkJCTg7OyMt7d3aYYmhBCikqq0b0eLqkXN09ESu8SuNmqO/VGqGQkLIYQQFY0kYSGEEKKcSBLmwS5ZRkZGyqYdQgghxIugmiVKhQp3v5o3b55yzMrKitTUVOrVq1eOPfsfde6YJVWUhBDqo7ok/DjVqlXD1NS0vLshhBBCZSrcdHRBQQFLliyhRYsWmJiY4OTkRHh4OAApKSn4+/tjZmaGra0tQUFBZGVlKdcGBQXRu3dvli1bxiuvvIKNjQ3BwcHk5OQo3yclJbFixQqMjIwwMjLi7NmzRaajExISMDIyIj4+Hh8fH8zNzWnfvj0HDx5U7hUTE4OlpebIpvC6jIwM5diePXvo0qUL5ubmvPLKK4waNYobN26U2e8nhBCi8qhwI+Hp06ezatUqZs2ahaenJ1evXuXw4cPk5OTQq1cvmjdvTlxcHNevXyckJIRhw4YRHR2tXJ+cnIypqSmbNm3i77//pn///jg4ODBq1Cg++ugjTp06RcOGDQkLCwOgfv36XLhw4bF9CQ8PZ9q0aZiZmTFhwgQGDx7Mnj17lC0rnyYlJYUePXowYcIElixZwvXr15k4cSLDhg3jq6++ev4fS1QqUkXp8SR2dVJT7MUtx6pQSfjWrVtERkYye/Zs+vbtC4CdnR1ubm5ERUWRnZ3N8uXLMTAwAGDRokX4+flx+vRp7OzsADAwMGDhwoXo6Ojg6OhIt27diI+PZ9SoURgaGqKrq4u+vv4zTT9PmjSJtm3bAjBu3DjefPNN0tPTi4yAn6Sw3OHw4cOVYwsWLKBt27ZcuXIFY2PjEv0+onJ70v8Q1bxmUmKX2NWuQiXh1NRUcnNzadeu3WO/c3Z2VhIwQOvWrdHW1ub48eNKEnZ0dNQo4mBmZsbvv//+r/rzcEUmMzMzAK5cufLMSfjQoUOcPn2ab7/9VjlWuNVlWlqaJGEhhFC5CpWEiyv9V9x3D08PP66y0r8tKfhwW4X3KGxLW1u7SLv37t3T+Jyfn0+/fv0IDg4u0ra5ufm/6pMQQoiqo0IlYUdHR6pXr058fDz29vYa3zVu3JiYmBhu3rypjIb37NlDfn4+jo6Oz3wPPT29Z65mVJz69euTk5PDjRs3qFOnDgBHjhzROMfV1ZVjx44po/RnpcalLDI9JYRQowr1drSBgQFDhw4lPDyc1atXk5aWxv79+1m1ahUBAQHo6+szdOhQUlJSSEpKIjQ0FD8/vxIlOWtra/bv38/Zs2fJyMhQ6gGX1KuvvkqtWrWYPn06p0+fZvPmzaxcuVLjnJCQEA4cOEBoaKgyNf3DDz8wcuTIf3VPIYQQVUuFSsIAU6dOZeTIkcybNw96kMjEAAAgAElEQVQ3Nzf69etHeno6+vr6bNiwgZs3b+Lj40NgYCCtWrUiIiKiRO0PHz4cPT093N3dsbe3L1FN4YfVrVuXzz77jJ9//pk2bdoQFRXFpEmTNM5p0qQJ27Zt49y5c7z11lt4eXkxffp0eRYshBACkCpKooJQ83S0xC6xq42aY39UhRsJCyGEEGohSVgIIYQoJxUyCRduPymEEEJUZRVqiVKhjz766F+v7a0KpIpS1aTGpWdCiOJVyCRsaGhYpu3fvXu3yKYeQgghxItW4aejfX19GT16NNOnT8fOzg4HBwcmT56ssb43Ly+P6dOn06RJE0xMTHB1deXTTz8F/lfZaMeOHXTs2BFjY2Pi4uIA2L59O+3atcPU1JSmTZsyY8YM8vLylHbXrl1Lhw4dsLKywsHBgffee4/09HTl+7t37zJu3DgaN26MiYkJzs7OTJs2TaNfU6dOxcnJCQsLCzp06KDcWwghhKiQI+FHxcbGMmTIEHbs2MGRI0cYOHAgzZo1o1evXsCDpJ2cnMzs2bNxdXXl3Llz/P235tTmtGnTmDlzJnZ2dtSuXZu4uDgGDx7M7Nmz8fT05Pz584waNYrc3FxmzpwJPEiiEydOpFGjRmRkZDB16lQGDBjA9u3bAfj000/ZunUrq1atwtramvT0dI3KIB988AFpaWmsWLECS0tLduzYwTvvvMOuXbtwcXF5Qb+eqCikitLjSezqpKbYi1uOVSHXCQcFBXHt2jXWrl2Lr68veXl57Ny5U/m+W7duNGjQgCVLlnDq1ClatmzJ+vXree2114q0lZCQgJ+fH1FRUfj7+yvHO3fuTIcOHRg3bpxy7Pvvv2fIkCFcuHDhseUKT5w4gZubGykpKVhaWjJu3DiOHz/O5s2bi5yflpZGixYtOHz4MA0aNFCOBwYGYm5uzoIFC54YvzqfCVd9T3omrOY1kxK7xK52lWIk/HA1I3hQ0ejKlSsAHD58GG1tbby9vYtto3nz5hqfDx06xIEDB1i8eLFyLD8/n9u3b3P58mXMzMw4ePAgc+bM4ciRI2RmZiovi124cAFLS0sCAwPp3r07LVu2pGPHjrz++uu8/vrraGtrc+jQIQoKCnB3d9e4b25urlIeUQghhLpViiRcXGWkZ32LulatWhqf8/PzGT9+PN26dStybv369cnOzqZnz560b9+e5cuXY2xsTEZGBp07d1aeGzdr1ozDhw8TFxfHL7/8QlBQEE2aNGHTpk3k5+ejpaXFrl27ivS/Ro0azxy7EEKIqqtSJOHiuLq6kp+fT0JCwmOno4u77sSJE08s/vDnn3+SkZHBlClTsLW1BWDLli1FzjMwMKBbt25069aNwMBAXnvtNU6fPk3Tpk0pKCjg8uXLJR75qnEpi0xPCSHUqNInYXt7e7p3786IESOUF7PS09M5d+4c77zzzhOvGzduHL1796ZBgwZ0794dHR0djh07xv79+5k+fTpWVlZUr16dFStWMGjQIFJTU/nwww812oiIiMDMzAwXFxd0dXWJjY2lTp06WFhYoK+vz9tvv01wcDCzZs3C1dWV69evk5iYiI2NDV27di3rn0YIIUQFV+mTMDx4S3nWrFlMmDCBjIwMLCwsCA4OLvYaHx8f1q1bx7x584iIiEBHRwd7e3sCAwOBB1PSy5YtY/r06axcuRJnZ2dmzZpFz549lTYMDAz45JNPOH36NFpaWri4uBAbG4u+vj4AS5cuZf78+YSFhZGenk7dunVp0aLFU59fCyGEUIcK+Xa0UB81T0dL7BK72qg59kdVyM06hBBCCDWQJCyEEEKUE0nCL5iHhwezZ88u724IIYSoAKrEi1lVjTp3zKpaVZTUuMxMCFFyMhIWQgghyolqk3B2djZDhgzB0tKShg0bsnDhQnr37k1QUBAAmZmZDB06FBsbG8zMzPD39+fYsWMabWzZsoU2bdooFZTmz5+vsYPXlStX6NOnD2ZmZjRp0oTo6OgXGqMQQoiKTbXT0ZMnTyYpKYnVq1djZmbGvHnzSE5OxtfXF3hQROLkyZOsWbMGIyMjZsyYQa9evfj999+pWbMmBw8epH///owZM4a3336bAwcOEBoaioGBAUOGDAEgODiY8+fPs2nTJmrWrMl///tfzp07V55hixekpBVi1FRR5lESuzqpKfbilmOpMgnfunWL1atX8+mnn9KhQwcAlixZgpOTEwCnTp1i+/btbN26FU9PTwCWL1+ubMbRr18/li5diqenJ//9738BcHBw4NSpUyxevJghQ4Zw8uRJdu7cyQ8//KAUcVi2bBnNmjUrh4jFi1aSNZBqXjMpsUvsaqfK6ei0tDTu3r1Ly5YtlWO1atVSknBqaira2tq4ubkp3xsaGuLk5MTx48eVc1q3bq3RroeHB+np6dy4cUNp4+F7WFtbY25uXpahCSGEqERUmYSfVnmpuO8L6wYXFBQ8tuZw4TnPWt1JCCGEeqlyOtrOzg5dXV0OHDigVEjKycnh6NGj2Nra0rhxY/Lz89m7d68yHX3jxg2OHj2q7C3duHFjfvvtN412k5OTsbS0xMDAAEdHR/Lz8zlw4IAyYj5//jwXL158av/UuLxFpqeEEGqkypFw7dq1effdd5k6dSrx8fEcP36cESNGKKNbe3t7unTpQmhoKL/++ispKSkMHjwYAwMDAgICAPjggw9ISkpi9uzZnDx5knXr1rF06VJGjBgBPHgm+NprrxEaGsrevXs5fPgwwcHB1KxZszxDF0IIUYGoMgkDzJgxAw8PD/r06YOfnx/Ozs40a9aMGjVqABAZGUmLFi3o06cPPj4+3L59m/Xr1ytJtFmzZnz55Zd89913eHh4EB4ezsiRIxk8eLByj8jISKytrenatSt9+vQhICAAa2vrcolXCCFExSNVlP6/3NxcXFxcGD58OMOHDy/v7qiOmqejJXaJXW3UHPuj/tUz4Zs3b3LhwgWuX7/+2BeQCp+jVmSHDh3ixIkTtGzZkps3b7J48WJu3bpFjx49yrtrQgghVKJESTgzM5Nx48bx7bffcv/+/SLfFz5TvXbtWql1sCwtXbqUkydPUq1aNVxcXNi2bRuWlup7KUoIIUT5KFESHjlyJN9//z2DBg3C09MTIyOjsupXmXN1dWX37t3l3Q0hhBAqVqIk/NNPPzFkyBBmzZpVVv0RSBWlykyNy8uEEP9eid6O1tPTw97evqz68lR5eXnldm8hhBCitJUoCfv7+7Nz586y6ksRvr6+jBo1ismTJ2Nvb0+nTp3IysoiJCQEBwcHrKys6NKlC3/88QcAWVlZmJmZsX37do12du3aRf369bly5QoA6enpvP/++9jY2GBjY8Pbb7/NqVOnlPNnz56Nh4cHGzZsoFmzZlhZWREYGEhGRoZyTlBQEL1799a4T+F1D1u9ejWtW7fG1NSUli1bsnTpUvLz80v1dxJCCFE5lWg6evjw4QwYMIChQ4cyYMAAGjRoQLVq1YqcZ2xsXGodXLduHe+99x7bt2+noKCA3r17U6dOHdauXUvdunVZs2YNXbt2Zd++fZiZmdGpUydiY2Pp3LmzRhsdO3bE2NiYnJwc/Pz8cHNzY+vWrejp6bFkyRL8/f3Zu3cv+vr6AJw7d46NGzeyevVqcnJyeP/995kxYwaLFi165r5HRUXx4YcfMnfuXFxdXTl27BghISHo6upqrCcWVce/rQyjpooyj5LY1UlNsZdaFaWWLVuipaXFwYMHWbdu3RPPK823o62trZVn0PHx8Rw5coSTJ08qm2ZMnjyZH374gbVr1xISEsLbb7/NwIEDuXnzJgYGBty+fZutW7fy8ccfA7BhwwYKCgqIjIxU9n5etGgRDg4O/Pjjj3Tv3h2Ae/fuERkZiaGhIQD9+/cnJiamRH2fN28e4eHh+Pv7A2Bra0taWhqrVq2SJFxF/Zu1j2peMymxS+xqV6IkPG7cuCcWLSgrD5f+O3ToEDk5OTg4OGicc+fOHdLS0gB44403qFmzJt9//z19+vRRRtBdunRR2jh79ixWVlYabeTk5ChtADRo0EBJwABmZmZcvXr1mft99epVLly4QGhoKKNHj1aO37t3T4o7CCGEAEqYhCdOnFhW/XiiWrVqKX/n5+djYmJS5JkvgIGBAQC6urp069aN2NhY+vTpw7p163jrrbeUaeb8/HxcXFz4/PPPi7RRt25d5W9dXV2N77S0tDSe5WpraxdJpvfu3dPoK8DChQuLlDwUQggh4DmqKN2/f5+srCzq1KmDjs6LKcbk6urKP//8g7a2tlL96HHefvttfH19OX78OHFxcRpT566urqxfv56XXnrpudY5169fnyNHjmgce/iziYkJFhYWpKWl0adPnxK1rcZlLjI9JYRQoxIXcDhw4ADdunXDwsICBwcHkpKSAMjIyODtt98mPj6+1DtZqH379ri7uxMYGMjOnTs5c+YMe/fu5cMPP+TXX39VznN3d6dBgwYMHDiQevXq0bZtW+W7gIAATExMCAwMJDExkTNnzpCUlMSkSZM03pB+mrZt23L48GGio6M5ffo0ixcvLlLacMKECXzyyScsXbqUv/76i6NHj/L111+zcOHC5/8xhBBCVHolSsJ79+6lS5cupKWl8c4772hMx9arV49bt24RHR1d6p0spKWlxbp16/D29iYkJIRWrVrxn//8h5MnT2Jubq5xbkBAAH/++Sc9e/bUeINbX1+fbdu2YWtrS//+/XFzcyMoKIjMzMwSjYx9fHwYP348M2fOpH379pw7d46BAwdqnNOvXz8iIiJYu3YtXl5edO7cmaioKGxsbJ7vhxBCCFEllKiKkp+fH9euXSMuLo7s7GwcHBzYtGkT7dq1Ax6sk127di0HDx4ssw6LqknN09ESu8SuNmqO/VElGgkfOHCAd999lxo1ajz2LWlLS0suX75cap0TQgghqrISJWFtbW20tZ98yeXLl5X1u0IIIYQoXomScLNmzfjhhx8e+11eXh6xsbG4ubmVSseEEEKIqq5Ea4tGjRpFr169GDZsGAEBAQBcunSJn376ifnz55OWlsbSpUvLpKMl5evri5OTE/PmzSvvrpSYVFGquNS4fEwIUXZKlIQ7dOjA8uXLGTt2LGvWrAEeFDIoKCjA0NCQlStX0qpVqzLpaFVz7949qlWr9sJ3IBNCCFFxlHidcK9evUhJSSE6Oprw8HDCwsL48ssv+fPPP5U9kp9VQUEBS5YsoUWLFpiYmODk5ER4eDhnz57FyMhIqY5UyMjIiM2bNyuf58yZQ5MmTTAxMaFRo0YMGTIEePAPg6SkJFasWIGRkRFGRkacPXsWgKSkJHx8fDA1NaVhw4ZMnDhRo0RiYeWmSZMmYWtri729PcuWLSM3N5cxY8ZgbW1NkyZN+OabbzT69qyVmWJiYmjWrBkmJiZkZ2eX6PcSQghRtZRoJFy4llZfXx9fX9/HnnPkyBFcXFyeqb3p06ezatUqZs2ahaenJ1evXuXw4cPPdO3mzZuJiIhg5cqVODk5cfXqVfbt2wfARx99xKlTp2jYsCFhYWHAgx2u0tPTCQgIoHfv3kRGRpKWlsaIESPQ1tZWikQAxMbGEhwcTFxcHNu2bWPixInExcXh4+PD7t27WbNmDSNGjKBdu3aYm5s/c2Wms2fPsn79er788kv09PSoUaPGM8UqKo6yqvyipooyj5LY1UlNsZdaFaUePXqwZcsWateu/djv9+3bR0BAAGfOnHlqW7du3SIyMpLZs2fTt29fAOzs7HBzc1NGrcU5f/48pqamdOzYEV1dXRo0aEDz5s0BMDQ0RFdXF319fUxNTZVrVq1ahampKQsWLEBbWxtHR0emTp1KaGgokyZNUpJl48aNlX2yhw0bxqJFi9DR0SEoKAiA8ePHs3jxYvbu3Yu/v/8zV2bKy8tj+fLlmJiYPDU+UTGVxdpGNa+ZlNgldrUr0XT0xYsXCQgI4Pbt20W+S0hIoHv37s/8w6amppKbm6ts9FFS3bp1486dO7i6ujJs2DA2bdpEbm7uU+/ZqlUrjWVWHh4e5OXlcfr0aeWYs7Oz8reWlhbGxsYax3R1dTEyMuLKlSuAZmUmS0tLLC0tsba2JjMzU6Myk4WFhSRgIYQQihKNhDdv3sxbb71Fnz59WLt2LdWrVwdg586d9OvXjxYtWrB27dpnaqu4cn6FSfLhc+7evatxjpWVFb///jvx8fHs3r2byZMnM2fOHH766SeNykuP3vNJL0I9fPxxFZQeLVLxcFWlZ63M9KR+CSGEUKcSJeFGjRqxceNG/Pz86NevHzExMWzdupVBgwbh7e1NTEzMMz/ndHR0pHr16sTHx2Nvb6/xXf369YEHy58KPVqxCKBGjRp06tSJTp06ERoaSqNGjdizZw8dO3ZET0+P+/fva5zfuHFjvv32W/Lz85VEn5ycjJ6eHi+//HJJfgoNpVWZqZAal8HI9JQQQo1K/HZ0kyZN2LBhA8nJybz55psMHDiQN954g2+++aZELxoZGBgwdOhQwsPDWb16NWlpaezfv59Vq1ZRs2ZNWrVqxeLFizl27Bh79uxh8uTJGtfHxMTw1VdfkZKSwpkzZ4iJiUFXVxc7OzsArK2t2b9/P2fPniUjI4P8/HwGDBjApUuXGD16NKmpqfz444+Eh4czaNAg5Xnwv1FalZmEEEKoS4mTMECLFi1Yt24dx44do3v37nz11VdFpnCfxdSpUxk5ciTz5s3Dzc2Nfv36kZ6eDkBERAQAHTt2JDQ0tEgSNjQ0JDo6ms6dO9OmTRu2bNlCdHS0Umd4+PDh6Onp4e7ujr29PefPn8fCwoLY2FgOHz6Mt7c3w4YNo2fPnsob1P9WaVVmEkIIoS7FVlEyMzMrdjOJvLw8dHV1Nc7R0tJSEqkQz0rN09ESu8SuNmqO/VHFPhPu3r277OgkhBBClJFik/CyZcteVD+EEEII1flXz4SFEEII8fxKtEQJ4MaNGyxZsoQdO3Zw7tw54MGbyJ06dWLYsGHUqVOn1DupNlJFqeJR47IxIUTZK9FI+NKlS7Rt25b58+dz+/ZtPD09adOmDbdv32bevHm0a9dOY22vEEIIIZ6sREl42rRpXL58mZiYGPbu3cvq1auVv9esWcOlS5eYPn16WfW1zPn6+jJ69GimT5+OnZ0dDg4OTJ48WdkZKy8vj6lTp+Lk5ISFhQUdOnQgLi5Oud7Hx4dFixYpnwcNGoSRkRGXL18GICcnB2NjY3777bcXG5gQQogKqUTT0XFxcQwePJguXboU+a5z584MGjRIqTNcWcXGxjJkyBB27NjBkSNHGDhwIM2aNaNXr1588MEHpKWlsWLFCiwtLdmxYwfvvPMOu3btwsXFBS8vLxISEhg5ciTwoGxivXr1SExMpGfPnuzZswddXV1atmxZzlGKkirrii9qqijzKIldndQUe6lVUbp58yZWVlZP/N7Kyopbt26VpMkKx9HRkUmTJgHg4OBAVFQU8fHxtGzZkvXr13P48GEaNGgAwODBg9m9ezdffvklCxYswMvLi5UrV3Lv3j3Onj3LjRs3GDJkCAkJCfTs2ZPExETc3Nz+1cYmonyV5ZpGNa+ZlNgldrUr0XS0vb09W7ZsUaZnH5afn893331XZB/oyubhaknwYMOSK1eucOjQIQoKCnB3d1cqJRWOhgsrJXl4eJCbm8uBAwdITEzEw8ODdu3akZiYCEBiYiJeXl4vPCYhhBAVU4lGwkOGDCEkJITu3bsTHBys/EvmxIkTfPrppyQlJbF48eIy6eiL8rgKSgUFBeTn56OlpcWuXbuKnFO4Z3bt2rVxdXUlISGB48eP4+3tjZubG+fPn+fUqVMcOHCA8PDwFxaLEEKIiq1ESbhfv35kZGQwZ84cEhISlOMFBQVUr16dsLAw+vbtW+qdrAiaNm1KQUEBly9fpm3btk88r/C58IkTJwgKCqJGjRq0bNmS+fPnP/PzYDUuh5HpKSGEGpUoCSclJdG3b1/ee+89du/erbFOuH379uTn55OUlISnp2eZdLY8OTg48PbbbxMcHMysWbNwdXXl+vXrJCYmYmNjQ9euXYEHSTgiIoJatWrh6uqqHFuwYAHe3t7yPFgIIYSiREnYz8+P5cuXExAQQI8ePYp8v3HjRgYOHMi1a9dKrYMVydKlS5k/fz5hYWGkp6dTt25dWrRogbe3t3KOh4cHWlpaeHh4UK1aNQC8vb2ZO3euPA8WQgihoURJuKDgiQWXgAfraLW1K+9OmFu3bi1y7OH9s3V1dZk4cSITJ058Yhu1a9fm6tWrGse8vb3JzMwsvY4KIYSoEp6ahG/cuEFWVpby+dq1a5w/f77IeZmZmWzYsAFzc/PS7aEQQghRRT01CUdGRjJ37lzgwZvCxY0ECwoKmDJlSun2UAghhKiinpqE27dvT40aNSgoKGD69On06NEDFxcXjXO0tLTQ19enefPmvPrqq2XW2YouKCiIa9eusXbt2vLuihBCiErgqUnY3d0dd3d3AHJzc+natStOTk5l3jE1kypK5UuNS8SEEOWjRC9mTZgwoaz6IYQQQqhO5X2VuYwkJSXx2muvYWlpibW1NT4+Phw9epRr164xYMAAnJycMDMzw93dndWrVxfbVkFBAYsXL6ZZs2aYmZnRpk0bmaoWQgihKNFIuKq7d+8egYGB9O3blxUrVnD37l0OHTpEtWrVuHPnDq6uroSEhFCnTh12795NaGgoDRo0oF27do9tb+bMmWzevJn58+fj4ODAvn37CAkJwcjIiE6dOr3g6MSzKo/qLmqqKPMoiV2d1BR7qVVRqupu3rxJVlYWb775Ji+//DIAjRo1Ur4fMWKE8nf//v355ZdfWL9+/WOTcHZ2NkuXLmXjxo20adMGAFtbW/bv38/KlSslCVdgL3r7TDVv2SmxS+xqJ0n4IXXr1iUwMJCePXvSrl072rZtS7du3bCysuL+/ft8/PHHbNy4kYsXL5KXl0deXt4Td8FKTU3lzp079OrVCy0tLeX43bt3sba2flEhCSGEqMAkCT8iMjKSoKAg4uLi2L59OzNnziQmJoYjR44QERHBRx99hJOTE7Vr12b69OlcuXLlse0Ulnv8+uuvlfrDhXR05GcXQgghSfixXFxccHFxYeTIkfTq1Yuvv/6amzdv8uabb/LOO+8AD166OnnyJIaGho9tw9HRkerVq3P+/PknPjN+EjUukZHpKSGEGkkSfsiZM2f48ssv6dy5M+bm5pw5c4aUlBTef/99MjMz+fbbb0lOTqZevXp89tlnnDt3rsjGJYUMDAwYPnw4U6ZMoaCgAE9PT27dusXvv/+OtrY2/fv3f7HBCSGEqHAkCT9EX1+fkydP0r9/fzIyMjAxMSEgIICRI0eSnZ3N2bNnCQgIoEaNGgQGBhIQEMDx48ef2N6kSZMwNjYmIiKC0aNHY2BggIuLCyEhIS8wKiGEEBWVVmZmZvGlkYR4AdQ8HS2xS+xqo+bYHyWbdQghhBDlRJKwEEIIUU4kCQshhBDlRF7MekF8fX1xcnJi3rx5Tz1Xqii9WGpcEiaEqBhkJCyEEEKUkyqRhIurVvTNN99gYWHBiRMnlPOnTZuGs7MzmZmZwIPNOWbPns3gwYOxtLSkUaNGLFmyROMeWVlZhISE4ODggJWVFV26dOGPP/7QOGffvn34+flhYWGBtbU1Xbt25eLFiwQFBZGUlMSKFSswMjLCyMiIs2fPlvGvIoQQoqKrEkuUZsyYwebNm/noo480qhV98cUXdOrUiYEDB5KamkpcXBx79uyhe/fubNy4kbZt2wIPknBmZiYhISF069aNhIQExo0bx6pVq+jatSsFBQV07tyZOnXqMH78eOrWrcuaNWtYvnw5+/btw8zMjCNHjvD666/Tu3dvBgwYQPXq1fn111957bXXqFOnDgEBATRs2JCwsDAA6tevT7Vq1R4bjzqno8vPPq+c8u6CEKIKK245VqVPwtnZ2djb22tUKwKYMGECp06dIjY2lqysLLy8vOjYsSM//fQTvXr1Ijw8XDnXxcUFe3t7Nm3apBwbPnw4f/31Fz/88APx8fEEBgZy8uRJatasqZzj5eVFQEAAISEhDBo0iLS0NH766afH9lOeCVdc5f1MWM1rJiV2iV3tKv2LWc9SrcjQ0JDIyEj8/PxwcXFh8uTJRdpp1apVkc/fffcdAIcOHSInJwcHBweNc+7cuUNaWhoAhw8f5q233irV2IQQQlRtlT4JP2u1ouTkZKpVq8aVK1e4efMmL730UonuYWJiwvbt24t8Z2BgADx4Li2EEEKURKVPws9SrWj//v3MmzeP6Oho5s+fz4gRI1i9erXGOb///nuRz46OjgC4urryzz//oK2tja2t7WPv4erqyi+//PLEfurp6XH//v1niqm8p0fLg0xPCSHUqNqECROmlXcnnkf16tXJzc1lwYIF1KtXDwMDA86fP8/WrVs5dOgQDg4O9OjRg549exIcHIyXlxdTp07F2NgYV1dXAJYtW8bp06cBMDEx4bvvvuPjjz9mxowZNG7cGFtbW+Lj41mzZg3W1tZUq1aNEydOEBUVRbVq1WjQoAG2trbMnz+fCxcuYGVlxY0bN9i6dSsvvfQShoaGJCcn88cff9CxY0fu379PjRo1NKbP1e7atWvUq1evvLtRLiR2iV1t1Bz7o6rEEqVJkyYxYcIEIiIicHd3p3v37mzZsgUbGxsmTJiAnp4e06dPB8De3p7Zs2czceJETp06pbQRHBxMSkoKbdu2ZebMmfz3v//F398fAC0tLdatW4e3tzchISG0atWK//znP5w8eRJzc3MAmjZtyqZNmzhx4gSvv/46Pj4+bNiwAV1dXeDBi156enq4u7tjb2/P+fPnX/CvJIQQoqKp9G9HlwYXFxcGDx7M8OHDy7srqqXm6WiJXWJXGzXH/qgqMRIWQgghKiNJwkIIIUQ5qfRvR5eGI0eOaHweO3YsR7TDn90AACAASURBVI8eZevWreXUIyGEEGogSfgFOHv2LK6urvz88880b978qeerc8es8qmipMblYEKIiqPKTkfn5eWVdxeEEEKIYlWaJOzr60toaCjjx4/HxsYGGxsbpkyZouyYVVgJ6YMPPsDa2ppBgwYBkJKSgr+/P2ZmZtja2hIUFERWVpbS7v3795k8ebLS5oQJE4psquHr68vYsWM1jgUFBdG7d2/lc0FBAUuWLKFFixaYmJjg5OSk7E9duB65Q4cOGBkZ4evrW/o/kBBCiEqnUk1Hx8bG0qdPH3bu3ElKSgohISGYmpoybNgwACIjIxkzZgy7d++moKCAnJwcevXqRfPmzYmLi+P69euEhIQwbNgwoqOjAYiIiOCrr75i8eLFODs7s2LFCmJjY2natGmJ+jZ9+nRWrVrFrFmz8PT05OrVqxw+fBiAXbt20bFjRzZs2ECTJk3Q09Mr3R9G/Gt//fVXeXcBqDj9KA8SuzqpKfbilmNVqiRsamrK3Llz0dLSolGjRpw8eZLIyEglCbdp04aQkBDl/KioKLKzs1m+fLmyx/OiRYvw8/Pj9OnT2NnZsWzZMkaMGEH37t0BmDNnDrt27SpRv27dukVkZCSzZ8+mb9++ANjZ2eHm5gag7Azz0ksvYWpq+nw/gihVFWGtoprXTErsErvaVZrpaIBXX31VY6tHNzc30tPTuXHjBkCRl55SU1NxdnZWEjBA69at0dbW5vjx42RlZXHp0iWNCkra2tq0bNmyRP1KTU0lNzf3iXtXCyGEEI9TqZLw09SqVUvjc3GVjUqyb7O2tnaRtu7du/dM9xFCCCGepFJNR+/fv5+CggIlge7btw9zc3Pq1Knz2PMbN25MTEwMN2/eVEbDe/bsIT8/H0dHRwwNDTEzM+P3/9fenYdVVa0PHP8eEVBEpUBGQZTDVcEjKApYZimVEZVNiENlDhfDYlIcIYccUElNBLWrlFypK0kDeKOBi4oTXc2RmzklmjmgkZrgRRT4/eF1/zyAM3CA/X6exyfYZ5111nv2yde1zl77/fFHZRZbUVHBrl279JaNraysOHPmjF7f//nPf5R6xTcqOeXk5ODi4lJlHDe+A5YqSrcmy1NCCDVqUDPhM2fOMGnSJA4fPkx6ejrx8fGMGTPmlu0DAwMxMzPjrbfe4qeffmLr1q1ERkby/PPP06FDBwDeeustFi9eTHp6OocPH2bSpEkUFBTo9dOnTx/+9a9/kZmZyeHDh5kyZQonT/7/ntaWLVvy1ltvMWPGDFJSUsjPz2fnzp0kJSUB0KZNG5o3b052djZnz57VuzpbCCGEejWoJBwYGEh5eTl+fn6EhYXx+uuv3zYJm5mZ8fnnn3Pp0iX8/PwYMmQIPXv2JCEhQWnzzjvvMHToUEJDQ/Hz86O8vJzAwEC9fl577TVee+013nnnHfr370+LFi2qbDOaNm0aERERxMXF4e3tzRtvvMGpU6cAaNq0KfPmzWP16tV06tSJIUOG1OC7IoQQoqFqMFWUAgICcHNzIy4uztBDEbVAzcvRErvErjZqjr2yBjUTFkIIIRoTScJCCCGEgTSYJPz111/X2FL05s2bsbCwoLCwsEb6ux2dTseSJUtq/XWEEEI0PA1qi9L9amjfJ0sVpdqnxm1gQoj6p8HMhIUQQojGptEn4ZCQELZu3cqKFSuwsLDAwsKCX3/9Fbh+ww0/Pz/s7Ox44okn2LNnj/K8P/74g5EjR+Lm5oatrS2+vr6kpKTo9R0QEMC4ceN477336NChA1qtlpiYGKWyU3VSU1NxdHQkMzOzdgIWQgjRYDT65ei5c+fyyy+/4OrqytSpUwE4cOAAADNmzGD69OnY2toyadIkgoOD+fe//41Go6GkpAQPDw/Cw8Np1aoVGzduJDIyEkdHR717RK9du5bRo0fz/fffk5eXx6hRo/D09OTVV1+tMpbly5cTGxvLmjVrePTRR+vmDRDVqm8VXOrbeOqSxK5Oaoq90VRRuh+tW7fG2NgYMzMz5VaUhw4dAiA6Opo+ffoAMGHCBJ555hlOnTqFg4MD9vb2hIWFKf28+eabbNq0ibS0NL0k3LFjR6KjowHQarUkJyeTk5NTJQnPnj2bVatWkZGRodQXFoZTn/YoqnnPpMQusatdo0/Ct+Pu7q78bGtrC8C5c+dwcHCgrKyMRYsW8cUXX3D69GlKS0spLS2ld+/et+zjRj/nzp3TO7Z8+XIuXbrEhg0bqr23tBBCCHVq9N8J346xsbHy842iEDcqIi1ZsoSEhATCwsJIT09n8+bNBAQEUFpaess+bvRTuaqSr68vGo2GtLS02ghDCCFEA6WKmbCJicldVzC6ITc3l2eeeYZBgwYB15PzkSNHaN269T2/vqenJ2+//TYvvvgiGo2GCRMm3La9GrfPyPKUEEKNVJGEnZyc2LlzJ8ePH8fc3Py2Vy/foNVq+fLLL8nNzcXS0pK//e1v/Prrr+h0uvsaQ/fu3fnyyy956aWX0Gg0jB8//r76EUII0XioYjk6NDQUExMTfH19cXFx4bfffrvjc8aPH0/37t0JDAzk2WefxczMrEp1pXvl5eXFl19+yZIlSxrMjUOEEELUngZTRUk0bmpejpbYJXa1UXPslaliJiyEEELUR5KEhRBCCAORJHyX6rLykhBCCHVQxdXR90qn0xEcHExoaKhyzMfHh4MHD/Lwww/X+utLFaXap8ZtYEKI+keS8F0yMTFRbnsphBBC1IR6txx9+fJlQkJCcHBwwNXVlQULFhAUFERISAhwfZa6ZMkSvecEBATo7bstLS1l2rRpuLm5YW9vT9++fcnOzlYev3r1KhMmTKBTp05YW1vj7u7O9OnTlb5OnDjBu+++q1RdguqXozMyMnjkkUeUPt5//329u2XpdDri4uKIiIjA0dERNzc34uPja/w9E0II0TDVu5nwu+++y8aNG/n73/+OnZ0d8+bNY9u2bTz33HN33cfbb79Nfn4+K1aswMHBge+//55Bgwaxfv16dDody5cv5+uvvyYpKQknJydOnTqlVPRISUmhd+/eDB06lJEjR97yNfbs2cObb75JVFQUAwcOZNeuXURGRtKyZUtGjx6ttFu6dCmTJ08mLCyMrKwsJk6ciK+vL97e3vf/JokHVt8quNS38dQliV2d1BR7g6miVFRUxOrVq0lISMDPzw+AxMRE3Nzc7rqP/Px80tLS2LdvH46OjgAEBwezceNGVq1axYIFCzhx4gQuLi488sgjaDQaHB0d8fHxAeChhx6iSZMmtGzZ8rbLz4mJiTz66KNMmTIFuH6HrV9++YXFixfrJeF+/foRHBwMwOjRo/nwww/JycmRJGxg9WmPopr3TErsErva1avl6Pz8fEpLS/USlLm5eZVKRbezd+9eKioq8PX1xcHBQfnz/fffk5+fD8CQIUPIy8vDy8uLqKgovvvuu7u6leXNDh48qCTuG3r16sWpU6f4888/lWN3U2VJCCGEOtWrmXDl6kPVadKkSZV2165dU34uLy9Ho9Gwfv36KhWOmjVrBlwvqLBv3z6ys7PZtGkTISEhdOnSha+++oomTe7u3yUVFRVK5aXKbj5+N1WWhBBCqFO9SsIdOnTA2NiYHTt24OzsDEBxcTH79+9XfreysuLMmTPKc0pKSjh06BBdu3YFoGvXrlRUVFBQUECfPn1u+VotW7bkxRdf5MUXX2TIkCE8+eSTHD16FK1We1dVlzp16sQPP/ygdyw3NxcHBwdatmx5H9H/PzVun5HlKSGEGtWrJGxubs7rr7/O9OnTsbKywtbWlvnz5+stFffp04eUlBT8/f2xsrJiwYIFejNhrVbLwIEDGTNmDLNnz8bDw4Pz58+zZcsW2rVrxwsvvEBCQgK2trbodDqMjY1Zu3YtrVq1wt7eHrhedSk3N5eBAwdiamqKpaVllbG+/fbb9OvXj9jYWAIDA9m1axeJiYm8++67tf9GCSGEaBTqVRIGmDlzJsXFxbz22ms0b96c4OBgLl++rDweGRnJr7/+ytChQ2nRogXjxo3j9OnTen0kJiby/vvvM3XqVE6dOsVDDz1E9+7deeyxx4Drs+D4+HiOHj2KRqNBp9Oxdu1azMzMAJgyZQoRERF069aNK1eucOHChSrj9PT0ZNWqVcydO5eFCxdibW1NRESEchGWEEIIcScNoopSUFAQDz/8MMuWLTP0UEQtUfNytMQusauNmmOvrF5dHS2EEEKoiSRhIYQQwkDq3XfC1UlNTTX0EIQQQoga1yCScG0JCAjAzc2NuLg4Qw9Fj1RRqj1q3P4lhKi/ZDn6AZWWlhp6CEIIIRoo1SbhkJAQtm7dyooVK5RqScePH+fAgQMMHDiQtm3botVqGTlyJAUFBXrPCwoK4oMPPsDNzU25r7VOp2PevHmEhITQtm1b3N3d+eKLL7hw4QIjRozAwcGB7t27s379ekOFLIQQop5pEFuUasPFixcJDAzE1dWVqVOnAlBWVkbv3r15/fXXGTJkCFevXmXmzJmcO3eOf/3rXzRp0oSQkBDWrVuHv78/kZGRVFRU4O7ujk6n49KlS8TExNC3b18++ugjVq5cSZ8+fXj55Zfx8fFh4cKFfPvtt/znP/9RbqFZHXUuR9eNHb0v37mREELUoAZTRakutW7dGmNjY8zMzJRqSbNnz6ZLly7MmDFDaffhhx/i7OzM7t278fLyAsDU1JSEhARMTU31+vTz82PUqFEATJ48mcTERNq3b8/gwYMBGD9+PCkpKfz8889069atLsIUldTHvYlq3jMpsUvsaqfaJFydvXv3sm3bNhwcql68k5+fryThzp07V0nAoF8xydzcHDMzM71j1tbWAFJFSQghBCBJWE95eTlPP/00s2bNqvJYmzZtlJ9btGhR7fOrq5jUtGlTvd9vvI4QQgih6iRcuVqSh4cHX375JY6OjlUSal1S4zYaWZ4SQqiRaq+OhuvVknbu3Mnx48cpLCxk1KhR/PnnnwwfPpwff/yRY8eOsXHjRsLDw7l06ZKhhyuEEKKRUXUSDg0NxcTEBF9fX1xcXCgtLeW7776jSZMmvPLKK/j6+hIVFYWJiUm13wELIYQQD0K1W5RE/aLm5WiJXWJXGzXHXpmqZ8JCCCGEIUkSFkIIIQxEknAt0el0LFmyxNDDEEIIUY+peotSXbKwsCA5OZkBAwbcua0qb1tZO1WU1LjdSwjRcKhuJixVj4QQQtQXjT4JBwQEMHbsWGJiYnBxcaF///5cvHiR8PBwtFotbdu25dlnn2X37t3Kcy5evEhwcDBarRYbGxs8PDxYunSp8riFhQXp6el6r3O75WedTgfAsGHDsLCwUH4XQgihbqpYjv7ss88YNmwY33zzDRUVFQQFBdGqVStSU1N56KGH+PTTT3nhhRfYsWMHtra2zJo1i/3795OamoqVlRW//vorhYWF9/36GzZsQKvVEh8fT//+/TEyMqrB6MTtHD582NBDuCsNZZy1QWJXJzXFrvoqSk5OTsyePRuAnJwc8vLyOHLkCM2bNwcgJiaGb7/9ltTUVMLDwzlx4gRdu3ZVCja0a9fugV7fysoKuF656UbFJlE3GsJeRDXvmZTYJXa1U0US9vT0VH7eu3cvly9fRqvV6rUpKSkhPz8fgJEjRzJs2DD27t1L3759eeaZZ+jdu3edjlkIIUTjp4okfHPVo/Lycqytrfnmm2+qtGvZsiUATz31FHl5eWRlZZGTk0NQUBADBgxQvhfWaDRUVOjfaOzatWu1GIEQQojGSBVJ+GYeHh6cPXuWJk2a4OzsfMt2lpaWDBo0iEGDBvHUU08xcuRIFi1ahKmpKVZWVpw5c0Zpe/bsWb3fq2NsbKxXsel21LitRpanhBBq1Oivjq7siSeewNfXlyFDhpCVlcWxY8fYvn07c+bMYdu2bQDMnj2bf/7zn/zyyy8cPHiQdevW4ezsrBRx6NOnDytXrmT37t3s3buXMWPG0KxZs9u+rpOTEzk5ORQUFHDhwoVaj1MIIUT9p7okrNFo+Oyzz3jssccIDw+nZ8+eDB8+nCNHjmBnZweAqakps2bNonfv3vTv35+ioiLWrFmj9DFr1iycnZ157rnnGDZsGK+//rpy8dWtzJo1i82bN+Pu7s5jjz1WqzEKIYRoGKSKkqgX1LwcLbFL7Gqj5tgrU91MWAghhKgvJAkLIYQQBiJJ+A5CQkIICgqq8jNcvyXm+PHjDTU0IYQQDZzqtig9iLlz51bZH1wbpIpSzVDjVi8hRMMiSfgetG7d2tBDEEII0YjIcvQ9qLwcXVlOTg5OTk58/PHHyrGUlBR8fHywsbHBy8uLxMREysvL62K4Qggh6jmZCdeQ9PR03nnnHeLj43nppZcASE5OZs6cOcyfPx8PDw9+/vlnwsPDMTY2Jjg42MAjbvwaUpWWhjTWmiaxq5OaYld9FaXatmrVKqZOnUpycjL9+vVTjsfFxTFjxgwGDBgAgLOzM/n5+SQlJUkSrgMNZR+imvdMSuwSu9pJEn5AmZmZfPzxx2RmZuLt7a0c//333/ntt9+IjIxk3LhxyvFr167VycVdQggh6j9Jwg/I3d0djUbD6tWr6dmzJxqNBkD53nfhwoX4+PgYcohCCCHqKUnCD6hdu3bMnz+f5557jvDwcBYvXoxGo8Ha2hp7e3vy8/MZPHjwPfWpxq01sjwlhFAjuTq6Bjg7O7Nu3Tqys7MJDw9XlpsnTZpEfHw8iYmJHD58mP379/OPf/yDhQsXGnjEQggh6gNJwjWkffv2/POf/yQ7O5uIiAgqKip44403SEhIIDU1ld69e+Pv709ycjLt2rUz9HCFEELUA1JFSdQLal6OltgldrVRc+yVyUxYCCGEMBBJwkIIIYSBSBL+nztVRLqfikkWFhakp6c/6NCEEEI0UrJF6S6lpKTQtGndvF1SRenuqXE7lxCi8ZAkfJceeughQw9BCCFEIyPL0TcpLy/nvffeo0OHDmi1WmJiYpQ7X1Vejj579iyDBg3C1taWLl26kJKSQq9evYiNjdXr8/z58wwbNgx7e3s8PDxITU2t05iEEELUXzITvsnatWsZPXo033//PXl5eYwaNQpPT09effXVKm1DQkI4c+YMGRkZNGvWjJiYGE6cOFGl3fz585k2bRrTpk1j9erVvPPOO/Tq1QsnJ6e6CKnRayyVWBpLHPdDYlcnNcUuVZTuUseOHYmOjgZAq9WSnJxMTk5OlSR8+PBhsrOzycrKomfPngAsXbqUrl27VukzKChIqUEcHR3N8uXLyc3NlSRcQxrDXkM175mU2CV2tZPl6Ju4u7vr/W5ra8u5c+eqtDt06BBNmjShW7duyrG2bdtiZ2d32z6bNm2KpaVltX0KIYRQH0nCNzE2Ntb7XaPRVFt28F5KEd5tn0IIIdRHlqPvQ8eOHSkvL2fPnj306NEDgJMnT3L69Oka6V+N225keUoIoUYyE74Prq6u+Pn5ERkZyY4dO9i3bx9vv/02ZmZmSj1hIYQQ4k4kCd+npUuXYm9vz3PPPceQIUMIDAzEysqKZs2aGXpoQgghGghZjv6fr7/+usqxZcuW3fJxGxsbvT2/hYWFRERE0L59e+XYhQsXqvSZl5dXE8MVQgjRCEgSvk85OTkUFRXh7u7OuXPnmDlzJpaWljz55JOGHpoQQogGQpLwfbp27RqzZ8/m2LFjNG/enB49epCZmUmLFi0MPTQhhBANhCTh++Tn54efn5/esYCAANzc3IiLizPQqIQQQjQkkoRrUE1VWpIqSndPjdu5hBCNhyThO7h27RpGRkZ3tfVIKi0JIYS4Fw16i1JAQABjx44lOjoaZ2dnXFxcWLZsGVeuXCEqKgonJye6dOnCmjVrlOdMnz6dHj16YGtri06nY+rUqZSUlCiPx8bG0qtXLz755BM8PT2xtramuLiY4uJiRo8ejYODA66urixcuJCgoCBCQkL0xnNzpSWdTkdcXBwRERE4Ojri5uZGfHx83bw5Qggh6r0GPxNeu3YtY8aMITs7m8zMTCZPnkx2djZ+fn5s3LiRTz/9lLCwMB5//HHs7OwwMzMjISEBOzs7Dh48yNixYzExMSEmJkbp8/jx46SlpbFq1SpMTExo1qwZ48ePZ+vWraSkpGBra0tcXBy5ubkEBATcdnxLly5l8uTJhIWFkZWVxcSJE/H19cXb27u23xpVaCyVWBpLHPdDYlcnNcV+u7sBai5cuNBgb2QcEBBAaWkpWVlZwPV7Omu1Wnr27KnMfq9evYq9vT0rV65kwIABVfr46KOPWLJkCbt37wauz4QXLFjA/v37sba2BqCoqIj27duzfPlyXnnlFQCKi4txc3Pj2WefVfYTV74wS6fT4e3tTVJSkvJ63bt3Z/DgwXoz5srU+Z3w/WkM3wmr+ZadErvErnYNfiZ8c5UijUZDmzZt9I4ZGxtjYWGhVC5KT09n2bJlHD16lOLiYsrKyigrK9Pr097eXknAAPn5+Vy9ehUvLy/lWIsWLXBzc7un8cGtKzMJIYRQnwb9nTBUX6Wo8hXKGo2G8vJyduzYwYgRI+jXrx9r1qxh06ZNREdHc/XqVb32lff6PkjVI6miJIQQ4lYa/Ez4Xvzwww/Y2dkxYcIE5diJEyfu+LwOHTpgbGzMrl27cHZ2BuDy5cvs379f+b0mNYYl1nsly1NCCDVSVRLWarWcPn2azz77DG9vb7Kzs/n888/v+Dxzc3Nee+01pk2bhqWlJTY2Nrz//vtUVFRI1SQhhBD3TVVJ2N/fn7CwMCZPnkxJSQl9+/ZlypQpjBs37o7PnTlzJsXFxQwePJgWLVowZswYzp49K1WThBBC3LcGfXW0IV25cgWdTkdoaCihoaGGHk6Dp+blaIldYlcbNcdemapmwg9i7969HDp0CC8vLy5dusTixYspKiri5ZdfNvTQhBBCNFCShO9BYmIiR44cwcjICJ1OR2ZmJg4O6ruISgghRM2QJFyN48eP4+HhwYYNG+jWrRsAHh4ebNy40bADE0II0ahIEqbqna7atm3LwYMHsbS0NMh41HnHLKmiJIRQH0nC1TAyMsLGxsbQwxBCCNHINfg7Zj2okJAQtm7dyooVK7CwsMDCwoLjx49jYWGh3E968+bNWFhYkJWVxeOPP46trS3+/v6cPHmSLVu28Oijj+Lg4EBQUBB//PGHXv8pKSn4+PhgY2ODl5cXiYmJlJeXGyJUIYQQ9YzqZ8Jz587ll19+wdXVlalTpwLX74ZVndjYWGJjY2nVqhV//etfGTFiBKampixevBgjIyOGDRtGbGyssqydnJzMnDlzmD9/Ph4eHvz888+Eh4djbGxMcHBwncXYmDWWSiyNJY77IbGrk5piv912LNUn4datW2NsbIyZmZmyBH38+PFq20ZHR/PII48AMHz4cCZMmMDGjRvx9PQEYPDgwWRkZCjt4+LimDFjhlK9ydnZmfz8fJKSkiQJ15DGsNdQzXsmJXaJXe1Un4Tvxc0VkW5UWap87EaFpN9//53ffvuNyMhIvTtyXbt2TQo4CCGEACQJ35ObKyLduGd05WM3vu+98d+FCxfi4+NTh6MUQgjRUEgSBkxMTKrUFH5Q1tbW2Nvbk5+fz+DBg+/puWrcdiPLU0IINZIkDDg5ObFz506OHz+Oubl5jS0XT5o0iQkTJtC6dWuefvpprl69yt69ezl9+jRjx46tkdcQQgjRcKl+ixJAaGgoJiYm+Pr64uLiUmPlCd944w0SEhJITU2ld+/e+Pv7k5ycTLt27Wqk/8ZEzbNgiV2dJHYBUkVJCCGEMBiZCQshhBAGIklYCCGEMBBJwkIIIYSBSBIWQgghDESSsBBCCGEgkoTrgZUrV9K1a1dsbGx4/PHH2bZtm6GHdE9iY2OVClQ3/vzlL39RHq+oqCA2NpZOnTpha2tLQEAAP//8s14fFy5cIDg4GCcnJ5ycnAgODubChQt6bX766SeeffZZbG1t6dy5M/PmzTPILUC3bt3KoEGD6Ny5MxYWFnzyySd6j9dlvOnp6fj4+GBtbY2Pjw/r1q2rnaD/506xh4SEVPksPPnkk3ptrly5wvjx4+nQoQP29vYMGjSIkyf1a0mfOHGCoKAg7O3t6dChAxMmTKC0tFSvzZYtW3j88cexsbHBw8ODjz76qHaC5vqd7/r27YujoyMuLi4EBQWxf/9+vTaN9bzfTeyN9bzXBUnCBvbFF18wadIkxo0bx6ZNm/D29iYwMJATJ04Yemj3xNXVlYMHDyp/bv6HxOLFi0lMTGTevHmsX7+eNm3a8NJLL3Hp0iWlzahRo9i3bx9r164lLS2Nffv2MXr0aOXxP//8k5deeglra2vWr1/P3LlzWbJkCQkJCXUaJ0BxcTFubm7MnTuX5s2bV3m8ruLdvn07I0aMIDAwkM2bNxMYGMibb77Jjz/+aLDYAZ544gm9z8LatWv1Hp88eTLr1q0jKSmJzMxMLl26RFBQkHLXurKyMoKCgigqKiIzM5OkpCQyMjKIjo5W+jh27BgDBw7E29ubTZs2MXbsWCZMmEB6enqtxL1lyxZGjhzJd999R0ZGBk2bNuXFF1/k/PnzSpvGet7vJnZonOe9Lsg+YQPz8/PD3d2d+Ph45Vj37t0ZMGAA06ZNM+DI7l5sbCwZGRnk5uZWeayiooJOnTrx17/+laioKAD++9//4urqysyZMxk+fDgHDx7Ex8eHb7/9Fl9fXwByc3Px9/dnx44duLq6kpSUxPTp0zl06JDyl39cXBwfffQR+/fvr7EbrNwrBwcH5s+fz9ChQ+s83uHDh3P+/Hm++uorZTwDBgzAysqKpKSkOo8drs+I/vjjD1JTU6t9zsWLF9FqtSQmJjJw4EAAfvvtN3Q6HWlpafj5+ZGVlcXAgQPJy8ujbdu2AKSmphIWFsbhw4dp1aoV06ZNY926dezatUvpOzQ0lAMHDpCVlVWLUV9XVFSEk5MTn3zylENjBgAABjRJREFUCf7+/qo675VjB/Wc99ogM2EDKi0tZc+ePfTr10/veL9+/fj3v/9toFHdn2PHjtG5c2e6du3KiBEjOHbsGHC9LGRBQYFejM2bN+eRRx5RYty+fTvm5uZ6hS58fX1p0aKFXptevXrpzb78/Pw4ffr0LUtPGkJdxrtjx44qnx0/Pz+Df3Zyc3PRarV4eXkRFhamVBYD2LNnD1evXtUbd9u2benYsaNe7B07dlT+IobrcV25coU9e/YobaqLfffu3Vy9erU2wwOuJ6Ly8nIsLCwAdZ33yrHfoIbzXhskCRtQYWEhZWVltGnTRu94mzZtOHv2rIFGde969OjB0qVLWbt2LfHx8RQUFPD000/zxx9/UFBQAHDbGM+ePYulpaXebFaj0WBlZaXXpro+bjxWX9RlvAUFBfXus/Pkk0+yfPly0tPTmTVrFjt37uSFF17gypUrwPWxGxkZYWlpqfe8yu9P5bgsLS0xMjK64/tz7do1CgsLays8xaRJk9DpdHh7ewPqOu+VYwf1nPfaIAUc6oHKS6kVFRUGW169H0899ZTe7z169MDT05NPP/2Unj17AneOsbp479TmxsUq9fG9qqt469tn55VXXlF+dnd3x9PTE51Ox3fffccLL7xwy+fdzftT+bihPg9Tpkzhhx9+4Ntvv8XIyOiW47sxpsZ03m8VuxrOe22RmbABVf5X3g2///57lX/tNSTm5uZ06tSJo0ePYmNjA1Sdrd4co7W1Nb///rveFaAVFRUUFhbqtamuD6g6+zCkuozXxsam3n927OzssLe35+jRo8D1uMrKyqrMWiq/P5XjqrxqdKv3p2nTpjz88MO1FQ6TJ0/m888/JyMjA2dnZ+W4Gs77rWKvTmM777VJkrABmZiY4OnpyYYNG/SOb9iwQe97o4ampKSEw4cPY2NjQ7t27bCxsdGLsaSkhNzcXCVGb29vioqK2L59u9Jm+/btFBcX67XJzc2lpKREabNhwwbs7OzqVVWquoy3Z8+e9f6zU1hYyOnTp5Uk5enpibGxsd64T548qVy0BNdjP3jwoN72lQ0bNmBqaoqnp6fSZuPGjXqvtWHDBrp164axsXGtxDJx4kTS0tLIyMjQ24IHjf+83y726jSm817bjCZNmjTd0INQs5YtWxIbG4utrS3NmjUjLi6Obdu2kZCQQOvWrQ09vLsSExODiYkJ5eXlHDlyhPHjx3P06FEWLVqEhYUFZWVlLFq0CK1WS1lZGdHR0RQUFPDBBx9gamqKlZUVP/74I2lpaXTt2pWTJ08SGRlJ9+7dle0bLi4ufPzxx+Tl5eHq6kpubi5Tp04lIiKizpNOUVERBw4coKCggNWrV+Pm5karVq0oLS2ldevWdRavnZ0dc+bMwdjYGEtLS5KTk/nkk09YvHgx9vb2dR67kZER7733Hubm5ly7do28vDxCQ0MpKysjLi4OU1NTmjVrxpkzZ1ixYgVdunTh4sWLREZG0qpVK2bMmEGTJk1wdnZm3bp1rF+/Hnd3dw4cOEBUVBSBgYE8//zzALRv354PPviAc+fO4ejoSGZmJgsWLGDWrFl06tSpxuOOiopizZo1rFq1irZt21JcXExxcTFw/R/TGo2m0Z73O8VeVFTUaM97XZAtSvXAypUrWbx4MQUFBXTu3Jk5c+bw6KOPGnpYd23EiBFs27aNwsJCrKys6NGjB9HR0cr/FBUVFcydO5dVq1Zx4cIFvLy8eP/993Fzc1P6OH/+PBMnTuSbb74BwN/fn/nz5+tdgfnTTz8RFRXFrl27sLCwYPjw4UycOLHOvwvavHmz8pfCzQYPHsyyZcvqNN4bF8IcO3aM9u3bExMTc9vv4Goz9oULFzJ06FD27dvHxYsXsbGx4bHHHiM6OlrviteSkhLeffdd0tLSKCkpoU+fPixYsECvzYkTJ4iKimLTpk00a9aMV199lVmzZmFqaqq02bJlC1OmTOHAgQPY2toSERHBiBEjaiXuylcC3zBx4kQmT54M1O3nvC7P+51i/+9//9toz3tdkCQshBBCGIh8JyyEEEIYiCRhIYQQwkAkCQshhBAGIklYCCGEMBBJwkIIIYSBSBIWQgghDESSsBBCCGEgkoSFEEIIA/k/EjhUZMNXC48AAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x432 with 1 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "(token_count\n",
     " .set_index('token')\n",
     " .squeeze()\n",
     " .iloc[:25]\n",
     " .sort_values()\n",
     " .plot\n",
     " .barh(figsize=(6, 6)));"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 22,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T23:10:55.154237Z",
      "start_time": "2018-12-03T23:10:54.485151Z"
     }
    },
    "outputs": [],
    "source": [
     "frequent_words = token_count.head(50).token.tolist()\n",
     "binary_vectorizer = CountVectorizer(max_df=1.0,\n",
     "                             min_df=1,\n",
     "                             stop_words=frequent_words,\n",
     "                             max_features=None,\n",
     "                             binary=True)\n",
     "\n",
     "binary_dtm = binary_vectorizer.fit_transform(docs)\n",
     "\n",
     "n_docs, n_tokens = binary_dtm.shape\n",
     "doc_freq = pd.Series(np.array(binary_dtm.sum(axis=0)).squeeze()).div(binary_dtm.shape[0])\n",
     "max_unique_tokens = np.array(binary_dtm.sum(axis=1)).squeeze().max()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 23,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T23:10:56.529470Z",
      "start_time": "2018-12-03T23:10:55.699183Z"
     }
    },
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
        "model_id": "0ee95d74efe642baa432ec0187cd5dc0",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
        "interactive(children=(FloatRangeSlider(value=(0.0, 1.0), description='Doc. Freq.', layout=Layout(width='800px'…"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "df_range = FloatRangeSlider(value=[0.0, 1.0],\n",
     "                            min=0,\n",
     "                            max=1,\n",
     "                            step=0.0001,\n",
     "                            description='Doc. Freq.',\n",
     "                            disabled=False,\n",
     "                            continuous_update=True,\n",
     "                            orientation='horizontal',\n",
     "                            readout=True,\n",
     "                            readout_format='.1%',\n",
     "                            layout={'width': '800px'})\n",
     "\n",
     "@interact(df_range=df_range)\n",
     "def document_frequency_simulator(df_range):\n",
     "    min_df, max_df = df_range\n",
     "    keep = doc_freq.between(left=min_df, right=max_df)\n",
     "    left = keep.sum()\n",
     "\n",
     "    fig, axes = plt.subplots(ncols=2, figsize=(14, 6))\n",
     "    updated_dtm = binary_dtm.tocsc()[:, np.flatnonzero(keep)]\n",
     "    unique_tokens_per_doc = np.array(updated_dtm.sum(axis=1)).squeeze()\n",
     "    sns.distplot(unique_tokens_per_doc, ax=axes[0], kde=False, norm_hist=False)\n",
     "    axes[0].set_title('Unique Tokens per Doc')\n",
     "    axes[0].set_yscale('log')\n",
     "    axes[0].set_xlabel('# Unique Tokens')\n",
     "    axes[0].set_ylabel('# Documents (log scale)')\n",
     "    axes[0].set_xlim(0, max_unique_tokens)    \n",
     "    axes[0].yaxis.set_major_formatter(ScalarFormatter())\n",
     "\n",
     "    term_freq = pd.Series(np.array(updated_dtm.sum(axis=0)).squeeze())\n",
     "    sns.distplot(term_freq, ax=axes[1], kde=False, norm_hist=False)\n",
     "    axes[1].set_title('Document Frequency')\n",
     "    axes[1].set_ylabel('# Tokens')\n",
     "    axes[1].set_xlabel('# Documents')\n",
     "    axes[1].set_yscale('log')\n",
     "    axes[1].set_xlim(0, n_docs)\n",
     "#     axes[1].yaxis.set_major_formatter(ScalarFormatter())\n",
     "\n",
     "    title = f'Document/Term Frequency Distribution | # Tokens: {left:,d} ({left/n_tokens:.2%})'\n",
     "    fig.suptitle(title, fontsize=14)\n",
     "    fig.tight_layout()\n",
     "    fig.subplots_adjust(top=.9)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Train & Evaluate LDA Model"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 24,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T23:51:09.262680Z",
      "start_time": "2018-12-03T23:51:09.257475Z"
     }
    },
    "outputs": [],
    "source": [
     "def show_word_list(model, corpus, top=10, save=False):\n",
     "    top_topics = model.top_topics(corpus=corpus, coherence='u_mass', topn=20)\n",
     "    words, probs = [], []\n",
     "    for top_topic, _ in top_topics:\n",
     "        words.append([t[1] for t in top_topic[:top]])\n",
     "        probs.append([t[0] for t in top_topic[:top]])\n",
     "\n",
     "    fig, ax = plt.subplots(figsize=(model.num_topics*1.2, 5))\n",
     "    sns.heatmap(pd.DataFrame(probs).T,\n",
     "                annot=pd.DataFrame(words).T,\n",
     "                fmt='',\n",
     "                ax=ax,\n",
     "                cmap='Blues',\n",
     "                cbar=False)\n",
     "    fig.tight_layout()\n",
     "    if save:\n",
     "        fig.savefig('earnings_call_wordlist', dpi=300)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 25,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T23:43:36.740983Z",
      "start_time": "2018-12-03T23:43:36.736405Z"
     }
    },
    "outputs": [],
    "source": [
     "def show_coherence(model, corpus, tokens, top=10, cutoff=0.01):\n",
     "    top_topics = model.top_topics(corpus=corpus, coherence='u_mass', topn=20)\n",
     "    word_lists = pd.DataFrame(model.get_topics().T, index=tokens)\n",
     "    order = []\n",
     "    for w, word_list in word_lists.items():\n",
     "        target = set(word_list.nlargest(top).index)\n",
     "        for t, (top_topic, _) in enumerate(top_topics):\n",
     "            if target == set([t[1] for t in top_topic[:top]]):\n",
     "                order.append(t)\n",
     "\n",
     "    fig, axes = plt.subplots(ncols=2, figsize=(15,5))\n",
     "    title = f'# Words with Probability > {cutoff:.2%}'\n",
     "    (word_lists.loc[:, order]>cutoff).sum().reset_index(drop=True).plot.bar(title=title, ax=axes[1]);\n",
     "\n",
     "    umass = model.top_topics(corpus=corpus, coherence='u_mass', topn=20)\n",
     "    pd.Series([c[1] for c in umass]).plot.bar(title='Topic Coherence', ax=axes[0])\n",
     "    fig.tight_layout();"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 39,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T23:43:43.673437Z",
      "start_time": "2018-12-03T23:43:43.670682Z"
     }
    },
    "outputs": [],
    "source": [
     "def show_top_docs(model, corpus, docs):\n",
     "    doc_topics = model.get_document_topics(corpus)\n",
     "    df = pd.concat([pd.DataFrame(doc_topic, \n",
     "                                 columns=['topicid', 'weight']).assign(doc=i) \n",
     "                    for i, doc_topic in enumerate(doc_topics)])\n",
     "\n",
     "    for topicid, data in df.groupby('topicid'):\n",
     "        print(topicid, docs[int(data.sort_values('weight', ascending=False).iloc[0].doc)])\n",
     "        print(pd.DataFrame(lda.show_topic(topicid=topicid)))"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Vocab Settings"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "For illustration, we create a document-term matrix containing terms appearing in between 0.5% and 50% of documents for around 1,560 features. "
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 27,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T23:11:04.934133Z",
      "start_time": "2018-12-03T23:11:04.931627Z"
     }
    },
    "outputs": [],
    "source": [
     "min_df = .005\n",
     "max_df=.5\n",
     "ngram_range=(1, 1)\n",
     "binary = False"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 28,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T23:11:05.254799Z",
      "start_time": "2018-12-03T23:11:05.247537Z"
     }
    },
    "outputs": [],
    "source": [
     "vectorizer = CountVectorizer(stop_words=frequent_words,\n",
     "                             min_df=min_df,\n",
     "                             max_df=max_df,\n",
     "                             ngram_range=ngram_range,\n",
     "                             binary=binary)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 29,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T23:11:06.264604Z",
      "start_time": "2018-12-03T23:11:05.594304Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "(18600, 1541)"
       ]
      },
      "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "dtm = vectorizer.fit_transform(docs)\n",
     "tokens = vectorizer.get_feature_names()\n",
     "dtm.shape"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 30,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T23:11:10.244404Z",
      "start_time": "2018-12-03T23:11:09.934891Z"
     },
     "slideshow": {
      "slide_type": "slide"
     }
    },
    "outputs": [],
    "source": [
     "corpus = Sparse2Corpus(dtm, documents_columns=False)\n",
     "id2word = pd.Series(tokens).to_dict()\n",
     "dictionary = Dictionary.from_corpus(corpus, id2word)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Model Settings"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 31,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T23:41:29.182406Z",
      "start_time": "2018-12-03T23:41:29.175702Z"
     }
    },
    "outputs": [],
    "source": [
     "num_topics=15\n",
     "chunksize=2000\n",
     "passes=25\n",
     "update_every=None\n",
     "alpha='auto'\n",
     "eta='auto'\n",
     "decay=0.5\n",
     "offset=1.0\n",
     "eval_every=None\n",
     "iterations=50\n",
     "gamma_threshold=0.001\n",
     "minimum_probability=0.01\n",
     "minimum_phi_value=0.01\n",
     "per_word_topics=False"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "Training a 15 topic model using 25 passes over the corpus takes a bit over two minutes on a 4-core i7.\n",
     "The top 10 words per topic identify several distinct themes that range from obvious financial information to clinical trials (topic 4) and supply chain issues (12)."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 34,
    "metadata": {},
    "outputs": [],
    "source": [
     "lda = LdaModel(corpus=corpus,\n",
     "               id2word=id2word,\n",
     "               num_topics=num_topics,\n",
     "               chunksize=chunksize,\n",
     "               update_every=update_every,\n",
     "               alpha=alpha,\n",
     "               eta=eta,\n",
     "               decay=decay,\n",
     "               offset=offset,\n",
     "               eval_every=eval_every,\n",
     "               passes=passes,\n",
     "               iterations=iterations,\n",
     "               gamma_threshold=gamma_threshold,\n",
     "               minimum_probability=minimum_probability,\n",
     "               minimum_phi_value=minimum_phi_value,\n",
     "               random_state=42)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 35,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T23:50:40.950121Z",
      "start_time": "2018-12-03T23:50:39.151564Z"
     }
    },
    "outputs": [
     {
      "data": {
       "image/png": 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\n",
       "text/plain": [
        "<Figure size 1296x360 with 1 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "show_word_list(model=lda, corpus=corpus, save=True)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Topic Coherence"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 36,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T23:43:37.698434Z",
      "start_time": "2018-12-03T23:43:36.742239Z"
     }
    },
    "outputs": [
     {
      "data": {
       "image/png": 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\n",
       "text/plain": [
        "<Figure size 1080x360 with 2 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "show_coherence(model=lda, corpus=corpus, tokens=tokens)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### pyLDAVis"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 37,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T23:43:43.669478Z",
      "start_time": "2018-12-03T23:43:37.699472Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/html": [
        "\n",
        "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.css\">\n",
        "\n",
        "\n",
        "<div id=\"ldavis_el17521140069670817488277605507\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "\n",
        "var ldavis_el17521140069670817488277605507_data = {\"mdsDat\": {\"x\": [-20.594327926635742, 431.64892578125, 128.33291625976562, 51.54566955566406, 308.1054992675781, 54.83378601074219, -148.7904510498047, 119.91354370117188, -194.64028930664062, -375.8267517089844, -187.177978515625, 195.09500122070312, -400.3765563964844, -136.29779052734375, 300.8292236328125], \"y\": [-68.98062133789062, -48.12040710449219, -472.20684814453125, 133.25616455078125, -277.94439697265625, -260.0723876953125, -434.7106628417969, 357.93634033203125, -210.7913055419922, 172.3628692626953, 49.483272552490234, -56.9714469909668, -114.81156921386719, 299.7349853515625, 173.9330596923828], \"topics\": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], \"cluster\": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], \"Freq\": [13.746440887451172, 11.411395072937012, 11.272210121154785, 7.503134727478027, 6.54891300201416, 6.331010341644287, 6.313971996307373, 5.55897855758667, 5.488320827484131, 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        "   // already loaded: just create the visualization\n",
        "   !function(LDAvis){\n",
        "       new LDAvis(\"#\" + \"ldavis_el17521140069670817488277605507\", ldavis_el17521140069670817488277605507_data);\n",
        "   }(LDAvis);\n",
        "}else if(typeof define === \"function\" && define.amd){\n",
        "   // require.js is available: use it to load d3/LDAvis\n",
        "   require.config({paths: {d3: \"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min\"}});\n",
        "   require([\"d3\"], function(d3){\n",
        "      window.d3 = d3;\n",
        "      LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.js\", function(){\n",
        "        new LDAvis(\"#\" + \"ldavis_el17521140069670817488277605507\", ldavis_el17521140069670817488277605507_data);\n",
        "      });\n",
        "    });\n",
        "}else{\n",
        "    // require.js not available: dynamically load d3 & LDAvis\n",
        "    LDAvis_load_lib(\"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js\", function(){\n",
        "         LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.js\", function(){\n",
        "                 new LDAvis(\"#\" + \"ldavis_el17521140069670817488277605507\", ldavis_el17521140069670817488277605507_data);\n",
        "            })\n",
        "         });\n",
        "}\n",
        "</script>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
       ]
      },
      "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "vis = prepare(lda, corpus, dictionary, mds='tsne')\n",
     "pyLDAvis.display(vis)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Show documents most represenative of each topic"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 40,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T23:44:01.994552Z",
      "start_time": "2018-12-03T23:43:43.674639Z"
     },
     "scrolled": true
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "0 excellent thank guy question nice quarter want dig security business assume real outperformance real highlight recent quarter question think sustainability growth nice acceleration overall growth decline trend line think sort accelerate trend line today breadth product sustain accelerate trend line second question come term investment think key investor debate sort drive high operating margin able invest business term increase distribution increased product competitive space grow confidence guy flexibility invest aggressively opportunity thank\n",
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       "9    sort 0.01\n",
       "1 thank rick like mention important point conclude today conference want insight additional important initiative expect positively impact performance continue invest key personnel add new marketing sale resource key location globe example key personnel increase sale activity recent sale win european team support emea apac region continue growth expand marketing presence attendance important regional event respective sale team continue momentum secondly organization audience trust recommendation gartner analyst mind reengag partnership gartner ensure clear way communication development sale marketing team analyst research team gartner opinion carry weight company look new software vendor happy partner ensure complete understanding technology recommend potential buyer state past maintain close relationship customer result input research vigorously process develop new product new vector revenue broaden market operate specific time competitive reason believe new product revenue vector contribute growth improve customer retention rate contribute increase overall shareholder value inform project progress development year celebrate anniversary company year transformation change make important positive milestone reach prove long term strategy sound reinvent ourself stay true root pioneer original thought leader field service technology market intend continue journey year help customer successful help employee grow succeed career create value shareholder thank attention today continued support like operator open question\n",
       "             0    1\n",
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       "2 thank jack hello positive impact financial follow alignment strategy dedicate resource mass market strategy streamline business deemphasize american academy program lead sequential gross margin expansion fourth quarter quarter sequential reduction million net loss despite million investment large marketing campaign company history support brand effort quarter furthermore expect non tier city expansion strategy support future growth improve financial performance like walk quarter financial highlight net revenue million increase million quarter year increase primarily attribute increase number active student extent increase average revenue active student number active student quarter thousand increase thousand quarter year cost revenue million increase million quarter year increase primarily drive increase total service fee pay teacher mainly delivery increase number pay lesson gross profit million increase million quarter year gross margin compare quarter year total operating expense million increase million quarter year increase mainly result increase sale marketing product development general administrative expense reminder non gaap financial measure exclude share base compensation expense total share base compensation expense million quarter compare million year ago period non gaap sale marketing expense million increase million quarter year increase mainly high branding marketing expense partially offset capitalize sale personnel expense million relation new accounting standard especially asc topic adopt company january clarification new accounting standard thing certain sale commission sale personnel sale agent consider incremental cost obtain contract recognize asset company expect recover cost adoption new standard million contract cost asset recognize prepaid expense current asset account march include cumulative adjustment million record reduction accumulate deficit reduction sale personnel expense million record sale marketing expense quarter non gaap product development expense million increase million quarter year increase primarily high expense relate technology course development relate personnel strengthen technology platform expand curriculum offering high technical service fee non gaap general administrative expense million increase million quarter year increase primarily result additional expense personnel necessary support expand operation high cost relate compliance reporting obligation public company loss operation million compare million quarter year non gaap loss operation million compare million quarter year foregoing net loss million compare million quarter year non gaap net loss million compare million quarter year basic diluted net loss ads attributable ordinary shareholder compare quarter year ads represent class ordinary share non gaap basic diluted net loss ads attributable ordinary shareholder compare quarter year march company total cash cash equivalent time deposit short term investment million compare million december company current non current deferred revenue billion march compare billion december second quarter currently expect net revenue million million represent increase approximately million quarter year project gross billing million million represent increase approximately million quarter year course outlook base current market condition reflect company preliminary estimate market operating condition customer demand subject change conclude prepared remark open question operator ahead\n",
       "           0    1\n",
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       "3 thank mark good morning slide consolidated sale fourth quarter million prior year stahl add million acquisition sale pass year anniversary stahl acquisition occur january longer acquisition revenue stahl forward exclude fact organic sale growth million sale volume million pricing high previous year basis point overall vertical market remain strong backlog december foreign currency translation continue tailwind increase sale quarter largely result strong euro weak dollar quarter sale million stahl contribute million acquisition revenue sale sale outside million million change fx stahl contribute million acquisition revenue international sale overall solid organic growth quarter emea region strength canada improve emea high single digit organic growth quarter business environment remain strong slide achieve record adjust gross margin quarter year benefit exceptionally strong gross margin stahl quarter likely repeat reflect unusually strong project mix fourth quarter gross profit million increase million adjust gross profit million increase million versus prior year reconciliation adjust gross profit page presentation let review quarter gross profit bridge stahl acquisition add million adjust gross profit represent stahl gross profit month january high sale volume mix contribute million gross profit positive productivity net cost change plant quarter million increase gross profit foreign currency translation add million gross profit impact high pricing offset raw material inflation positively impact gross profit item positively affect gross profit pro forma item include stahl inventory step expense incur prior year million partial recovery insurance claim add gross profit slide cost million quarter include million pro forma cost relate stahl integration debt repricing fee legal cost insurance recovery litigation exclude item million versus previous guidance million foreign currency translation impact guidance euro strengthen fiscal fourth quarter remainder variance high sell expense fourth quarter partially high sale volume timing certain cost bad debt provision record customer file bankruptcy additional warehouse closure cost relate subleasing compare prior year stahl acquisition add million cost unfavorable foreign currency translation increase cost million incur million high incentive compensation cost cost partially offset million low pro forma item affect year versus year quarterly forecast run rate expect approximate million quarter exclude pro forma item expect incur approximately million additional restructuring action stahl integration yield annual saving approximately million million realize fiscal saving approximately half affect lower spend approximately million quarter begin second quarter estimate total spend stahl integration million saving million fiscal additional million come fiscal turn slide adjust income operation grow million sale compare adjust operating income million prior year adjusted operating margin improve basis point prior year achieve million stahl synergy ahead schedule want point new pension accounting standard effective fiscal impact million pension income annual basis operate income income expense income statement impact net income eps reconciliation adjust operating income page presentation slide gaap earning diluted share versus loss diluted share prior year period adjusted earning diluted share fourth quarter fiscal compare previous year increase share stahl contribute accretion adjust eps quarter add accretion year outstanding result reconciliation gaap earning share adjusted earning share page presentation adjustment tax effect normalized tax rate gaap basis effective tax rate current quarter turn slide year gaap earning diluted share versus diluted share year current year negatively impact effect tax reform adjusted earning diluted share fiscal compare fiscal increase share reconciliation year gaap earning share adjusted earning share page presentation expect year effective tax rate fiscal make significant progress blueprint financial goal adjusted ebitda margin significantly improve prior year return invest capital improve fiscal turn slide work capital percent sale fiscal fourth quarter compare december march working capital percent sale decrease basis point prior year quarter reflect high dpo high accrue liability largely high incentive compensation accrual inventory turn turn low year ago slightly december level carry high inventory level currently improve time delivery market strong backlog substantially believe product line simplification initiative favorably impact turn later fiscal slide net cash operate activity year million high prior year million year free cash flow million guidance capital expenditure fiscal million million turn slide total debt million net debt million march net debt net total capital repay total million debt year surpass initial target million million set beginning year excellent progress delever achieve net debt adjust ebitda ratio long term target net leverage approximately expect repay million debt fiscal delever balance sheet capital allocation priority continue fund organic growth initiative acquisition consistent blueprint finally return excess cash shareholder dividend share repurchase turn mark wrap\n",
       "               0    1\n",
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       "4 think supply pretty lock wrong quarter quarter like know frustrate supply forecast past couple year think look broad period time reasonable sense great risk job forecast scenario begin lot history respect gdp job growth typically happen essex market try jump market know geopolitical issue rate rise thing assumption change pretty significantly time change time tend scenario begin strength economy roll mean essex metro sense\n",
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       "5 yes flag pick brian work improve execution flagship location traffic location comment persistent traffic headwind location primarily high street tourist location couple thing include roll loyalty program invest store improve conversion benefit able offset headwind traffic long term expect complement location mall base location cultivate particularly brand local customer base drive digital business market digital business remain strong business business wholesale partner region continue prioritize work way flagship build strong base particularly international market\n",
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       "7     online 0.01\n",
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       "6 thank martin good nice afternoon think risk point view summary straightforward thing good growth business npl reduce prefer npe ratio npl coverage sum good support economy important low inflow troubled asset good support workout effort let jump page credit risk rwa increase roundabout eur billion growth come come nonretail mainly czech republic romania slovakia good growth execute group corporates markets segment retail increase rwa eur million growth mainly weight bulgaria czech republic slovakia course forget russia martin indicate market risk increase rwe hand hand polish deal transaction forward hedging hedging consume rwa course successful execution transaction fall yes page talk npl provision ratio portfolio level good strong improvement year date talk risk cost npl ratio npl coverage ratio like impairment loss eur million provision ratio basis point think conclude look decent let jump page presentation talk npl distribution country time ask guidance come npl ratio aim easy market way obviously poland albania croatia ukraine confident meet finish year end long question open floor question ahead\n",
       "            0    1\n",
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       "7 good afternoon thank time join today teleconference prepared remark brief past quarter foreseeable future purely execute highly define publicly disclose development plan therapeutic platform asset past month effort simply focus run streamlined efficient clinical corporate operational organization process ph time explore opportunity enhance composite company value proposition announcement appointment oppenheimer september serve strategic advisor capacity oppenheimer work behalf delmar identify evaluate wide range strategic opportunity specific goal facilitate shareholder value generation regard drug development effort fundamental objective continue rapidly efficiently advance phase biomarker drive clinical trial mgmt unmethylat gbm md anderson cancer center houston texas sun yat sen university cancer center guangzhou china addition explore reason financial resource perspective potential treat solid tumor additional oncology indication turn clinical trial respect open label second line avastin naïve study conduct md anderson cancer center pleased report quarter trial continue enroll fast pace originally forecast october trial label mdacc study enrol plan total patient recall rationale second line recurrent gbm trial initiate february base fact approximately newly diagnose gbm patient grossly underserved current therapy tumor unmethylated mgmt promoter correlate high expression dna repair enzyme mgm scientifically establish patient tumor exhibit high expression mgm t poor prognosis significantly short progression free survival overall survival comparison patient unmethylated mgmt promoter low mgmt expression currently approve therapy goal md anderson study straightforward determine treatment improve overall survival patient progress temozolomide compare historical control base recent increase enrollment rate continue forecast enrollment year end plus month earlier originally plan forecast caveat thanksgiving christmas holiday slightly impact patient enrollment rate phase trial line newly diagnose mgmt unmethylat gbm patient conduct sun yat sen university cancer center guangzhou china commence september similar md anderson study pleased report quarter experience increase rate enrollment october enrol total patient study reminder patient trial treat combination radiotherapy potential alternative current standard care temozolomide radiation regimen currently line treatment patient population operational standpoint trial conduct term collaboration guangxi wuzhou pharmaceutical company study principal clinical goal confirm safety day day dose regimen combination radiotherapy investigate progression free overall survival outcome combination radiotherapy mgmt unmethylat patient date dose confirm cohort study complete base dose conformation phase study select mg metre square combination radiation treatment newly diagnose mgmt unmethylat gbm patient trial addition status phase study want provide brief update publication week sno conference annual meeting society neurooncology meeting abstract present delmar involve phase study provide update md anderson study poster entitle phase study patient mgmt unmethylat bevacizumab naïve recurrent glioblastoma note report october patient enrol patient receive cycle date cut patient currently receive treatment follow survival deceased far study subject receive median cycle therapy patient receive cycle patient receive cycle treatment patient complete cycle therapy subject complete cycle treatment exhibit stable disease end cycle include initially receive starting dose mg metre square initially receive starting dose mg metre square provide update china study poster title phase study radiation therapy newly diagnose mgmt unmethylat glioblastoma report study enrol plan patient dose mg meter squared choose dose treatment remain patient study sno provide new preclinical datum continue support potential combination study potential treatment additional cancer indication gain additional insight unique mechanism action respect combination study preclinical datum strong vivo anti tumor efficacy mgmt unmethylat temozolomide resistant recurrent gbm effect augment combination avastin provide rationale clinical investigation combination avastin treatment gbm second indication diffuse intrinsic pontine glioma dipg brain cancer impact glial cell base brain present preclinical study highlight combination kinase inhibitor promising new therapeutic strategy child dipg ongoing study continue assess vivo activity explore underlying mechanism action combination therapy strategy finally examine efficacy panel gbm cell isolate newly diagnose gbm patient result inhibit neurosphere formation gbm stem cell affect expression protein phosphoprotein central gbm growth salient important finding protein implicate cancer include gbm summary report effective halt growth panel gbm cell respect breadth treatment potential area particular future dennis brown delmar cofounder chief scientific officer state represent great opportunity treat multiple solid tumor broad range oncology indication new datum ongoing effort support clinical trial complete national cancer institute continue evaluate additional indication provide good treatment option underserved patient strive fiscally responsible fashion delmar work world class partner md anderson cancer center sun yat sen university cancer center china ovarian advisory board enhance outcome underserved oncology patient goal appreciate trust stakeholder place effort way help target population cost effective efficient effectively possible juncture turn scott praill cfo provide summary financial profile quarter end september scott\n",
       "             0    1\n",
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       "8 consolidation real estate industry accelerate crucial real estate developer team financial partner possess depth real estate industry understanding complete merger acquisition consequent funding need enormous recent tightening finance commercial bank real estate company open accept equity investment share profit equity investor hand enormous numerous quality real estate project market difficult project developer obtain financing bright spot advantage private equity fund launch recently good example jupai capture opportunity trend create active manage real estate equity product believe jupai involve active management fund backend power project management bring high management fee cover income forward\n",
       "             0    1\n",
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       "9 thank matt good afternoon thank join today earning thanksgiving week begin summary result highlight today launch new cloud data services hat provide market update finally tim detailed review financial update outlook result strong quarter execution pure revenue quarter million grow year year gross margin remain high level operating margin exceed upper end guide range strong result indicative forward traction datum centric architecture strategy outline earlier year customer increasingly voice clear demand hybrid cloud reality today cloud divide evident storage layer prem cloud storage services vary widely make difficult build application run require customer technology choice prem cloud believe way customer able infrastructure choice base good business line base technology live hybrid cloud world application develop deploy seamlessly private public cloud customer increase flexibility insight launch pure cloud data services today announce new set product run natively public cloud deliver unique hybrid cloud storage solution customer flexibility need turn datum value regardless live new product enable customer build hybrid application run seamlessly cloud leverage consistent storage api service benefit cloud native enterprise customer alike announce significant number important new capability pure cloud data services like focus announce beta availability cloud block store base purity software run natively aws cloud block store industrial strength block storage offering enable mission critical enterprise application run cloud capability expect high end storage array cloud block store bring new storage capability like snapshot replication duplication bear cloud web scale app secondly announce availability cloudsnap deliver cloud base datum protection build right flagship flasharray cloudsnap make easy copy snapshot directly public cloud datum protection application migration use case announce beta availability storreduce cloud duplication engine modern backup software design enable simple backup rapid recovery cost effective datum retention public cloud object storage combine flashblade prem solution provide new architecture flash flash cloud enable rapid restore low cost long term cloud retention lastly cloud data services manage cloud datum management solution fact key asset expansion cloud pure manage product cloud day place manage pure product prem extend seamlessly manage pure product cloud enable end end control hybrid cloud mobility protection pure deliver comprehensive cloud datum solution cloud datum infrastructure long provide storage customer build automate private datum cloud new cloud data services enable customer build powerful hybrid cloud solution pure enable comprehensive cloud datum management allow customer manage datum sit excited early response pure cloud data services partner customer analyst look forward work customer better deliver hybrid cloud hat provide quarter market update hat away\n",
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       "10 okay let start second question come think important teekay supportive transition industry burn clean fuel think look change tanker fleet estimate change lower sulfur fuel oppose scrubber case concern use scrubber obviously transfer sulfur pollution air ocean view viable long term industry operational constraint fuel quality issue earlier year roughly ship contaminate bad bunker environment heavy fuel oil main fuel industry concern market high sulfur fuel diminish ship water quality fuel come question certainly availability outside major trading bunker hub singapore rotterdam place like reason stance scrubber use high fuel decision install scrubber quality issue concern mention issue maintain additional equipment etcetera use scrubber question term transition physically lot inquiry refiner oil trader term voyage economic voyage currently undertake today oil place traditionally export main refining center look ask question term vessel availability economic different direction think start physically fix cargo inquiry basis point\n",
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       "11 thank good afternoon like thank time join sg quarter conference host today paul galvin chief executive officer mahesh shetty company president chief financial officer paul provide business update cover customer partner announcement mahesh discuss financial result press release result cross wire afternoon pm eastern available company website follow management prepared comment open floor question turn management remember certain statement contain release forward look statement meaning private security litigation reform act statement statement historical fact contain presentation include statement future operation financial position business strategy plan objective management future operation forward look statement case forward look statement identify terminology believe estimate continue anticipate intend plan expect predict potential negative term similar expression base forward look statement largely current expectation projection future event financial trend believe affect financial condition result operation business strategy financial need forward look statement subject number risk uncertainty assumption include set forth filing securities exchange commission sec available rely forward look statement prediction future event assure event circumstance reflect forward look statement achieve occur presentation include non gaap financial measure sg block use certain non gaap financial measure assess business operation reference non gaap financial measure consider addition gaap financial measure consider substitute result present accordance gaap finally conference webcast webcast link available investor relations section website time like turn paul galvin paul floor\n",
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       "12 yeah year learning progress fact grow faster channel fact strong base exist customer tap good relationship think advantage frankly area instance introduce beam available specifically short period time open clear good channel think education able clearly message margin perspective look say team fantastic job try explore new area think time probably talk ron johnson company enjoy grow exciting costco united states work yield great result great look good stuff best buy like channel pretty happy point think thing mention past careful distribute way venture japan instance think good shape distribution wise continue look audience shop sure place want reason lead costco work ikea think hold lot promise fiscal confident base plan able grow direct consumer fast pace rest business continue invest try better year ab testing team step pretty bullish dtc\n",
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       "13 let market argentina particular think healthy domestic demand believe demand international domestic market devaluation high cost travel abroad rebound international demand argentina believe weakness month case brazil think healthy level demand today domestic brazil think reflect quarter number positive action domestic brazil strong demand compare year internationally somewhat affected main challenge international relate important increase capacity europe start industry level slow capacity growth slight decrease look publish second quarter capacity europe high double digits industry fleet situation stable term demand international start slight improvement think big concern today imbalance timid rebound demand compare capacity strong\n",
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       "14 hey garik joe little bit hopefully catch overall framing organic growth right basically flat overall growth kind weather impact downside kind mid single core initiative growth think try upper mid single digits range weather ph offset core initiative look try break core initiative piece little bit mid single roughly half price half unit volume growth volume growth combination market growth traditional market overperformance base growth initiative paul say point look product category point commercial versus residential view pretty similarly point time term growth rate total mention unit growth rate volume piece roughly range combination market growth market overperformance\n",
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      ]
     }
    ],
    "source": [
     "show_top_docs(model=lda, corpus=corpus, docs=docs)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Review Experiment Results"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "To illustrate the impact of different parameter settings, we run a few hundred experiments for different DTM constraints and model parameters. More specifically, we let the min_df and max_df parameters range from 50-500 words and 10% to 100% of documents, respectively using alternatively binary and absolute counts. We then train LDA models with 3 to 50 topics, using 1 and 25 passes over the corpus."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "The script [run_experiments.py](run_experiments.py) lets you train many topic models with different hyperparameters to explore how they impact the results. The script [collect_experiments.py](collect_experiments.py) combines the results into a `results.h5` HDF store.\n",
     "\n",
     "These results are not included in the repository due to their size, but the results are displayed and you can rerun these experiments with earnings call transcripts or other text documents of your choice."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 229,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T20:50:09.310297Z",
      "start_time": "2018-12-03T20:50:09.273642Z"
     }
    },
    "outputs": [],
    "source": [
     "with pd.HDFStore('results.h5') as store:\n",
     "    perplexity = store.get('perplexity')\n",
     "    coherence = store.get('coherence')"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 230,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T20:50:10.027249Z",
      "start_time": "2018-12-03T20:50:10.003185Z"
     }
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "<class 'pandas.core.frame.DataFrame'>\n",
       "Int64Index: 496 entries, 0 to 15\n",
       "Data columns (total 8 columns):\n",
       "vocab_size    496 non-null int64\n",
       "test_vocab    496 non-null int64\n",
       "min_df        496 non-null int64\n",
       "max_df        496 non-null float64\n",
       "binary        496 non-null bool\n",
       "num_topics    496 non-null int64\n",
       "passes        496 non-null int64\n",
       "perplexity    496 non-null float64\n",
       "dtypes: bool(1), float64(2), int64(5)\n",
       "memory usage: 31.5 KB\n"
      ]
     }
    ],
    "source": [
     "perplexity.info()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 231,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T20:50:10.361175Z",
      "start_time": "2018-12-03T20:50:10.349382Z"
     }
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "<class 'pandas.core.frame.DataFrame'>\n",
       "Int64Index: 8370 entries, 0 to 713\n",
       "Data columns (total 7 columns):\n",
       "topic         8370 non-null int64\n",
       "passes        8370 non-null object\n",
       "num_topics    8370 non-null object\n",
       "coherence     8370 non-null float64\n",
       "min_df        8370 non-null int64\n",
       "max_df        8370 non-null float64\n",
       "binary        8370 non-null bool\n",
       "dtypes: bool(1), float64(2), int64(2), object(2)\n",
       "memory usage: 465.9+ KB\n"
      ]
     }
    ],
    "source": [
     "coherence.info()"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Parameter Settings: Impact on Perplexity"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 221,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T20:34:14.919527Z",
      "start_time": "2018-12-03T20:34:14.903344Z"
     }
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:             perplexity   R-squared:                       0.772\n",
       "Model:                            OLS   Adj. R-squared:                  0.765\n",
       "Method:                 Least Squares   F-statistic:                     75.71\n",
       "Date:                Mon, 03 Dec 2018   Prob (F-statistic):          5.53e-116\n",
       "Time:                        15:34:14   Log-Likelihood:                -2407.9\n",
       "No. Observations:                 496   AIC:                             4848.\n",
       "Df Residuals:                     480   BIC:                             4915.\n",
       "Df Model:                          15                                         \n",
       "Covariance Type:                  HC0                                         \n",
       "=================================================================================\n",
       "                    coef    std err          z      P>|z|      [0.025      0.975]\n",
       "---------------------------------------------------------------------------------\n",
       "const           158.0331      5.804     27.227      0.000     146.657     169.409\n",
       "min_df_100      -34.7269      4.675     -7.428      0.000     -43.890     -25.564\n",
       "min_df_250      -77.8456      4.348    -17.903      0.000     -86.368     -69.323\n",
       "min_df_500     -108.7279      4.475    -24.295      0.000    -117.500     -99.956\n",
       "max_df_0.25     -20.5220      4.448     -4.614      0.000     -29.240     -11.804\n",
       "max_df_0.5      -30.2190      4.287     -7.050      0.000     -38.620     -21.818\n",
       "max_df_1.0      -29.6129      4.442     -6.666      0.000     -38.319     -20.906\n",
       "binary_True      40.5022      2.764     14.651      0.000      35.084      45.920\n",
       "num_topics_5      2.4029      3.747      0.641      0.521      -4.941       9.747\n",
       "num_topics_7      5.7087      3.566      1.601      0.109      -1.280      12.697\n",
       "num_topics_10    11.3472      3.353      3.385      0.001       4.776      17.918\n",
       "num_topics_15    20.6403      3.259      6.332      0.000      14.252      27.029\n",
       "num_topics_20    30.0500      3.500      8.585      0.000      23.190      36.910\n",
       "num_topics_25    39.5115      4.040      9.780      0.000      31.593      47.430\n",
       "num_topics_50    89.8369      9.679      9.282      0.000      70.866     108.808\n",
       "passes_25       -25.4013      2.789     -9.108      0.000     -30.867     -19.935\n",
       "==============================================================================\n",
       "Omnibus:                      459.795   Durbin-Watson:                   1.195\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            19757.525\n",
       "Skew:                           3.888   Prob(JB):                         0.00\n",
       "Kurtosis:                      32.926   Cond. No.                         12.1\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors are heteroscedasticity robust (HC0)\n"
      ]
     }
    ],
    "source": [
     "X = perplexity[['min_df', 'max_df', 'binary', 'num_topics','passes']]\n",
     "X = pd.get_dummies(X, columns=X.columns, drop_first=True)\n",
     "ols = sm.OLS(endog=perplexity.perplexity, exog=sm.add_constant(X))\n",
     "model = ols.fit(cov_type='HC0')\n",
     "print(model.summary())"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Parameter Settings: Impact on Coherence"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 232,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T20:50:17.142670Z",
      "start_time": "2018-12-03T20:50:17.046891Z"
     }
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:              coherence   R-squared:                       0.665\n",
       "Model:                            OLS   Adj. R-squared:                  0.663\n",
       "Method:                 Least Squares   F-statistic:                     237.0\n",
       "Date:                Mon, 03 Dec 2018   Prob (F-statistic):               0.00\n",
       "Time:                        15:50:17   Log-Likelihood:                -4925.0\n",
       "No. Observations:                8370   AIC:                             9980.\n",
       "Df Residuals:                    8305   BIC:                         1.044e+04\n",
       "Df Model:                          64                                         \n",
       "Covariance Type:                  HC0                                         \n",
       "=================================================================================\n",
       "                    coef    std err          z      P>|z|      [0.025      0.975]\n",
       "---------------------------------------------------------------------------------\n",
       "const            -1.5492      0.023    -66.490      0.000      -1.595      -1.504\n",
       "topic_1          -0.1076      0.020     -5.501      0.000      -0.146      -0.069\n",
       "topic_2          -0.2316      0.020    -11.553      0.000      -0.271      -0.192\n",
       "topic_3          -0.3080      0.019    -16.228      0.000      -0.345      -0.271\n",
       "topic_4          -0.4257      0.019    -21.936      0.000      -0.464      -0.388\n",
       "topic_5          -0.4553      0.019    -23.826      0.000      -0.493      -0.418\n",
       "topic_6          -0.5660      0.021    -27.289      0.000      -0.607      -0.525\n",
       "topic_7          -0.5650      0.020    -28.721      0.000      -0.604      -0.526\n",
       "topic_8          -0.6366      0.020    -31.807      0.000      -0.676      -0.597\n",
       "topic_9          -0.7315      0.022    -32.944      0.000      -0.775      -0.688\n",
       "topic_10         -0.7038      0.020    -34.972      0.000      -0.743      -0.664\n",
       "topic_11         -0.7618      0.020    -37.648      0.000      -0.801      -0.722\n",
       "topic_12         -0.8278      0.021    -39.529      0.000      -0.869      -0.787\n",
       "topic_13         -0.9086      0.024    -37.905      0.000      -0.956      -0.862\n",
       "topic_14         -1.0062      0.028    -36.165      0.000      -1.061      -0.952\n",
       "topic_15         -0.9400      0.020    -46.426      0.000      -0.980      -0.900\n",
       "topic_16         -1.0064      0.021    -48.362      0.000      -1.047      -0.966\n",
       "topic_17         -1.0891      0.024    -45.451      0.000      -1.136      -1.042\n",
       "topic_18         -1.2143      0.035    -34.359      0.000      -1.284      -1.145\n",
       "topic_19         -1.3974      0.051    -27.558      0.000      -1.497      -1.298\n",
       "topic_20         -1.2093      0.032    -38.068      0.000      -1.272      -1.147\n",
       "topic_21         -1.3008      0.043    -30.040      0.000      -1.386      -1.216\n",
       "topic_22         -1.3990      0.048    -28.894      0.000      -1.494      -1.304\n",
       "topic_23         -1.5555      0.075    -20.642      0.000      -1.703      -1.408\n",
       "topic_24         -1.8207      0.102    -17.928      0.000      -2.020      -1.622\n",
       "topic_25         -1.2510      0.027    -47.049      0.000      -1.303      -1.199\n",
       "topic_26         -1.2884      0.027    -47.200      0.000      -1.342      -1.235\n",
       "topic_27         -1.3080      0.028    -45.896      0.000      -1.364      -1.252\n",
       "topic_28         -1.3387      0.029    -46.353      0.000      -1.395      -1.282\n",
       "topic_29         -1.3818      0.033    -41.600      0.000      -1.447      -1.317\n",
       "topic_30         -1.4258      0.036    -40.118      0.000      -1.495      -1.356\n",
       "topic_31         -1.4620      0.037    -39.411      0.000      -1.535      -1.389\n",
       "topic_32         -1.4920      0.038    -38.818      0.000      -1.567      -1.417\n",
       "topic_33         -1.5331      0.042    -36.156      0.000      -1.616      -1.450\n",
       "topic_34         -1.5724      0.045    -35.007      0.000      -1.660      -1.484\n",
       "topic_35         -1.6058      0.046    -34.745      0.000      -1.696      -1.515\n",
       "topic_36         -1.6599      0.050    -33.476      0.000      -1.757      -1.563\n",
       "topic_37         -1.7249      0.057    -30.426      0.000      -1.836      -1.614\n",
       "topic_38         -1.7716      0.061    -28.987      0.000      -1.891      -1.652\n",
       "topic_39         -1.8252      0.065    -28.099      0.000      -1.953      -1.698\n",
       "topic_40         -1.8731      0.067    -27.897      0.000      -2.005      -1.741\n",
       "topic_41         -1.9452      0.073    -26.551      0.000      -2.089      -1.802\n",
       "topic_42         -2.0258      0.081    -24.863      0.000      -2.186      -1.866\n",
       "topic_43         -2.1048      0.088    -24.050      0.000      -2.276      -1.933\n",
       "topic_44         -2.2254      0.103    -21.667      0.000      -2.427      -2.024\n",
       "topic_45         -2.3408      0.114    -20.463      0.000      -2.565      -2.117\n",
       "topic_46         -2.4815      0.135    -18.355      0.000      -2.746      -2.217\n",
       "topic_47         -2.6899      0.161    -16.751      0.000      -3.005      -2.375\n",
       "topic_48         -3.0070      0.190    -15.830      0.000      -3.379      -2.635\n",
       "topic_49         -3.3959      0.225    -15.072      0.000      -3.837      -2.954\n",
       "passes_25        -0.0874      0.010     -9.177      0.000      -0.106      -0.069\n",
       "num_topics_15     0.0485      0.015      3.204      0.001       0.019       0.078\n",
       "num_topics_20     0.0827      0.015      5.589      0.000       0.054       0.112\n",
       "num_topics_25     0.1508      0.015     10.103      0.000       0.122       0.180\n",
       "num_topics_3     -0.1450      0.029     -4.998      0.000      -0.202      -0.088\n",
       "num_topics_5     -0.0886      0.021     -4.246      0.000      -0.129      -0.048\n",
       "num_topics_50     0.4335      0.015     28.089      0.000       0.403       0.464\n",
       "num_topics_7     -0.0345      0.018     -1.886      0.059      -0.070       0.001\n",
       "min_df_100        0.2362      0.016     15.220      0.000       0.206       0.267\n",
       "min_df_250        0.4365      0.016     27.103      0.000       0.405       0.468\n",
       "min_df_500        0.5494      0.016     33.442      0.000       0.517       0.582\n",
       "max_df_0.25       0.2821      0.014     20.594      0.000       0.255       0.309\n",
       "max_df_0.5        0.2855      0.013     21.696      0.000       0.260       0.311\n",
       "max_df_1.0        0.2830      0.014     20.323      0.000       0.256       0.310\n",
       "binary_True      -0.1248      0.010    -12.994      0.000      -0.144      -0.106\n",
       "==============================================================================\n",
       "Omnibus:                     5210.657   Durbin-Watson:                   0.513\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):           124064.587\n",
       "Skew:                          -2.572   Prob(JB):                         0.00\n",
       "Kurtosis:                      21.146   Cond. No.                         49.5\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors are heteroscedasticity robust (HC0)\n"
      ]
     }
    ],
    "source": [
     "X = coherence.drop('coherence', axis=1)\n",
     "X = pd.get_dummies(X, columns=X.columns, drop_first=True)\n",
     "ols = sm.OLS(endog=coherence.coherence, exog=sm.add_constant(X))\n",
     "model = ols.fit(cov_type='HC0')\n",
     "print(model.summary())"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Hyperparameter Impact on Perplexity"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 233,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T20:51:41.164146Z",
      "start_time": "2018-12-03T20:51:40.351186Z"
     }
    },
    "outputs": [
     {
      "data": {
       "image/png": 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1d3fH2dZx/y9JUr6MZv+vc9Psy7JLkiRJkiRpnBn4SJIkSZIk5YyBjyRJkiRJUs4Y+EiSJEmSJOWMgY8kSZIkSVLOGPhIkiRJkiTljIGPJEmSJElSzhj4SJIkSZIk5YyBjyRJkiRJUs4Y+EiSJEmS1OJSBdK+2r/Kh1KzC5AkSZIkSc1T3RaUv1aCvoDOROllZQoLU7PL0nmyh48kSZIkSS2scluxFvYAHI7asiY8e/hIkiRJktTCnjo0wE2XrOOJKQe4av8M3rz5YtqaXZTOm4GPJEmSJEkt7E+veICH23sB2Np5mMGeKu/l4iZXpfPlkC5JkiRJklrU4Ur5eNhzzD3T9jSpGo0nAx9JkiRJklpUR6HI7PZJw9qWdHY2qRqNJwMfSZIkSZJaVCGC9yy7hJ5SbdaehR2T+ZUlK5pclcZDpDQxL7XW29s7MQuXJEkj6u7ujrOt4/5fkqT6KFer7B0cYHb7JCLOukseN6PZ/+vcOGmzJEmSJEktrlQoMGdSR7PL0DhySJckSZIkSVLOGPhIkiRJkiTljIGPJEmSJElSzhj4SJIkSZIk5YyBjyRJkiRJUs4Y+EiSJEmSJOWMgY8kSZIkSVLOGPhIkiRJkiTljIGPJEmSJElSzhj4SJIkSZIk5YyBjyRJkiRJUs4Y+EiSJEmSJOWMgY8kSZIkSVLOGPhIkiRJkiTljIGPJEmSJElSzhj4SJIkSZIk5YyBjyRJkiRJUs4Y+EiSJEmSJOWMgY8kSZIkSVLOGPhIkiRJkiTljIGPJEmSJElSzhj4SJIkSZIk5UxDA5+IKEbEjyLiq9ny8oi4KyLWRcTnIqI9a5+ULa/L7l/WyDolSZIkSZImskb38HkP8MiQ5T8G/jyldDGwD3hH1v4OYF/W/ufZepIkSZIkSRqFhgU+EbEIeBnw8Ww5gBcCX8hWuQl4RXb75dky2f3XZ+tLkiRJkiTpLEoNfK6/AH4TmJotzwT2p5TK2fIWYGF2eyGwGSClVI6I3mz9PSM98Nq1a+tVsyRJapA1a9aMaX33/5IknZ9JBxMzn0wUKnBwLnTuhdIA7F8YHJzbmD4XY93/a/QaEvhExA3ArpTSPRHx/PF+/JUrV473Q0qSpAuc+39Jks5Df4X2m9YTRxMA3dvhWMTTvSMx+HMLqC7val59Om+N6uHzk8DPRcRLgQ5gGnAj0BMRpayXzyJga7b+VmAxsCUiSkA38FSDapUkSZIkKdcKGw4RR6vHl0/uz1N49ICBzwTXkDl8Ukr/JaW0KKW0DHgdcFtK6Y3AvwKvylZ7K/CV7PYt2TLZ/bellFIjapUkSZIkKe9S55n7f6QpjZwBRvXQ6Kt0nez9wPsiYh21OXo+kbV/ApiZtb8P+ECT6pMkSZIkKXfSkk4qF5/owZM6TsQD1e42Kk+f0YyyNI5ionac6e3tnZiFS5KkEXV3d591dkj3/5Ikja/YfQQGE2l+B7FvAA5XSAsmQ6ExkzaPZv+vc2MfLUmSJEmSWlSa3XHi9oxJYMee3Gj2kC5JkiRJkiSNMwMfSZIkSZKknDHwkSRJkiRJyhkDH0mSJEmSpJwZdeATEVfVsxBJkiRJkiSNj7H08PlWRPw4In4jIubXrSJJkiRJkiSdl7EEPvOB/wZcB6yNiG9GxJsiorM+pUmSJEmSJOlcjDrwSSmVU0pfSSm9GlgIfB74TWBnRNwcET9ZryIlSZIkSZI0emOetDkiuoBXAK8DFgGfBdYCfx8RfzW+5UmSJEmSJGmsIqU0uhUjXga8GXgJ8G/AzcCXU0pHsvtnAJtSSl11qnWY3t7e0RUuSZImhO7u7jjbOu7/JUnKl9Hs/3VuSmNY94+Am4D/mFLafvKdKaW9EfHecatMkiRJkiRJ52QsQ7p+P6X0oZPDnoh41bHbKaWPj1tlkiRJkiRJOidjCXxOF+b8n/EoRJIkSZIkSePjrEO6IuKi7GYhIpYDQ8fXXQQcqUdhkiRJkiRJOjejmcNnHZCoBT1PnHTfDuB3x7kmSZIkSZIknYezBj4ppQJARHw3pfS8+pckSZIkSZKk8zHqOXwMeyRJkiRJkiaGM/bwiYivp5R+Nrv9fWpDu06RUvqpOtQmSZIkSZKkc3C2IV03D7ntJdclSZIkSS2hvw/6eoNpMxPtk5pdjTR2kdKInXYueL29vROzcEmSNKLu7u442zru/yVJjbBtfYHH7y0CQaGQuPwnysyY5y6oHkaz/9e5GfUcPhHx8YjoPKltfkR8ffzLkiRJkiSp8apVWP9gLeypLUe2LE0sow58gC7g/oh4NkBEvA64H/hRPQqTJEmSJKnRUhXKg8PbBo/msxPKHXv7+NiTT/Ht3QepTNDRPzq9s16W/ZiU0usi4o3AVyLiMWA+8MqU0u11q06SJEmSpAYqlmDOoiq7Np/o1TNvWbWJFdXHF7ft5+827ast7ITHDh3l3y+f1dyiNK5GHfhktgJHgIuAh4F1416RJEmqu91bg21PFCmWYMnqCtNmeFZPkqRjVq2p0NWTOLQ/6JmTmJ/DwOdrOw4MW75110HeuXQmbYV89mZqRWOZw+dDwGeB9wDLgPuoDfF6dX1KkyRJ9bB/d/DQHSX27SqwZ1uB+75bYuBIs6uSJOnCUSzCklVVLruuwoLlVSKHGUhHcXgc0F4IzHryZSxz+FwKXJVS+lJKaTCl9J+BVwH/qz6lSZKketi9tcCxiSgBqpVg746xHBJIkqSJ7g2Lpg8LBF6/aDrFPCZbLWwsc/i8bIS270XEleNbkiRJqqfJU04dvtUxQpskScqv58ycwkVTFvHggSNcPKWdi6ZManZJGmdjmsMnIl4EvB6YnVL6dxGxBpgG3FaP4iRJ0vibv7zKnm1V9u8uAIn5F1XpmW3gI0lSq1nQ0caCjrZml6E6GXXgExHvpjZ/z8eBX8ia+4EPAz8x/qVJkqR6KJbg6ueVOXwQCkXo6Gx2RZIkSRpvkdLozuhFxBPA9SmlDRGxL6U0PSKKwK6U0sy6VjmC3t5eT0VKkpQj3d3dZ504wP2/JEn5Mpr9v87NWGZonApszm4fO9hqAwbGtSJJkiRJkiSdl7EEPt8DPnBS268D/zp+5UiSJEmSJOl8jWXS5ncD/xwR7wSmRsRjwEHghrpUJkmSJEmSpHMylsuyb4+IZwLXAkuoDe/6QUqpWq/iJEmSJElSYxytwINPFZhUTJQKcGAgeNqMKlO8kNeENKbLsqfaDM93ZT+SJEmSJCkHeo/CH9/bxr6jw+dQ7iwlfuOaQeZPaVJhOmdnDHwiYjMnJmg+rZTSknGrSJIkSZIkNdT3thVPCXsADpeDWzcXecvqShOq0vk4Ww+fNzWkCkmSJEmS1DRHz5DnHK145fSJ6IyBT0rpu40qRJIkSZIkNcez51X53rYCg9Xh4U6QeM58e/dMRKOewyci2oH/CrweWABsAz4L/I+U0pH6lCdJkiRJaqRDvcHaHxXpOxDMnFdl5TUVSk7am3sLuxLvf3qZO3YUKAYUInGkEqyZU2VF91lnetEFaCyTNn8UWAX8OrARWAp8EFgIvH38S5MkSZIkNVJK8NAdJfoP1Xp57NxUpFCCVU+3h0crWNiVeNXFvtd5MZbA5xXAipTS/mz54Yi4C1jHWQKfiOgAvgdMyp7zCyml34mI5dR6Cc0E7gHenFIaiIhJwM3AM4CngNemlDaMoVZJkiRJ0hgd7ed42HPM/l0FwBBAmmgKY1h3B9B5UttkYPsotj0KvDCldBVwNfCzEfEs4I+BP08pXQzsA96Rrf8OYF/W/ufZepIkSZKkOmrvgPbJw4fvTJ1RbVI1ks7HWAKfTwFfj4h3RsRLIuKXgX8Bbo6IFx77GWnDVHMoW2zLfhLwQuALWftN1HoRAbw8Wya7//qIcFpwSZIkSaqjQgEuu7bM5K5a6NMzu8qKK+3dI01EkdLoJl+KiCdHsVpKKV10mu2L1IZtXQz8FfAnwJ1ZLx4iYjHwf1NKl0fEg8DPppS2ZPc9AVyXUtpz7PF6e3uPF7527dpR/Q6SJOnCtWbNmrOe3HH/L0mNk6pBFJysV/U1mv2/zs1Y5vC5OKV0ztFutu3VEdEDfAlYfa6PdbKVK1eO10NJkqQJwv2/JEnS6Y1qSFfWO+dQNpnyeckmff5X4NlAT0QcC50WAVuz21uBxdlzl4BuapM3S5IkSZIk6SxGFfhkvXMep3Y1rTGLiNlZzx4iYjLwIuARasHPq7LV3gp8Jbt9S7ZMdv9tabRjzyRJkiRJklrcWIZ0/T3w1Yi4EdhCbdJlAFJKt51l2/nATVlPoQLw+ZTSVyPiYeCzEfEHwI+AT2TrfwL4VESsA/YCrxtDnZIkSZIkSS1tPCZtPu1EzfU0dNJGSZI08XV3d49p0mZJkjTxjWb/r3Mz6h4+KaXl9SxEkiRJkqQLRaoC/RBTml2JdG7GMqSLiGgDngUsSCl9LqL2p59S6qtHcZIkSZIkNVp1S1D+egkOBcxItN0wSMxodlXS2Ixq0maAiLiC2sTNf8OJuXaeB/xtHeqSJEmSJKnhUoLyrVnYA7A3KP/rmPpKSBeEUQc+wEeB/5ZSWg0MZm3fBZ4z7lVJkiRJktQMg0Dv8Gll0lNOM6OJZyyBz9OAT2e3ExwfyjV5vIuSJEmSJKkZoh1iQXVYW2Fp9TRrSxeusQQ+G4BnDG2IiGuBdeNZkCRJkiRJzVR6SZnCygp0JwqXVyg+v9LskqQxG8tAxN8GvhYRfw1Mioj/Avwq8Et1qUySJEmSpCaIqVB6WQUw6NHENeoePimlrwIvBmYD/wosAV6ZUvpmnWqTJEmSJEnSORh1D5+IaAd+HvgZYAGwFdgTEQ+llI7UqT5JkiRJkiSN0ViGdH0UWAW8G9hIrYfPbwELgbePf2mSJEmS1Bwp1f4NL87UUnYdPcId+55iRns7z+6ZSakwlmlvpQtLpGOfZGdbMeIpYEVKaf+QthnAupTSjDrVd1q9vb2jK1ySJE0I3d3dZ/1a5f5fUiM8+WCRLesKELB0dYUlq7xCUyt4ou8Qv/nofRyp1t7vp0+bzu+vuqLJVeXfaPb/OjdjiSt3AJ0ntU0Gto9fOZIkSZLUPHu2BRsfLVIpB5XBYP0DJXr3+H20FXxl59bjYQ/AvQf2sbbvYBMrks7PWIZ0fQr4ekR8BNgCLAZ+Dbg5Il54bKWU0m3jW6IkSZIkNcaBvaeeEz+wN+ieZQfDvKty6ntcGeWIGOlCNJbA51eyfz94Uvu7sh+ABFx0vkVJkiRJUjP0zKqyieKwNsOe1nDDnAXcvnc3g1nI87SuaayaMrXJVUnnbtRz+FxoHMMvSVK+OIePpAvFpscKbFlbJAKWrK6wcIVz+LSKzf2HuX3fbma0tfP8mXOYVCiefaMJbGDwAL0H1zKtawWT2nuaUoNz+NSPgY8kSS0spcTBSpmpxRLR5EvRGPhIktQ4u576AT98+PepVo9SiDauufQDzJ/93IbXYeBTP2MZ0iVJknLkycOH+KMnHmHLkX4Wdkzm/SsuZUVnV7PLkiRJDfDw+o9RrR4FoJoGeeiJv25K4KP6GctVuiRJUo58eMNathzpB2DrkX5ufPLxJlckSVLjFZ48RPGOPcTGPjhcpnjvXor37IW+crNLq6sjR/cOWz46sI+JOgJII7OHjyRJLWr94UPDlp88aVmSpLwr3rGH0g+eOr6cJhWIo7U5m4r37mXgDctgSj6/Ni+cez0bt91yYnnOC5o+vFvjK59/uZIk6ayumTadu3tPnN27pnt6E6uRJDVD5ZEC1ccLxNRE8ZkVopUuSpUSxfv2DWs6FvYAxOEKxUcPUHnGjEZX1hBPW/EuOjvmsrf3QXqmruaixb/Q7JI0zgx8JElqUe9dfgkf2/QEDx/s5dKubn5l6YpmlyRJaqDKwwUq36x9JUxAdVOBtrcMEq008cfZOrTk+LUoFEqsWPxqVix+dbNLUZ0Y+EiS1KJ62tp5/4pLm12GJKlJqo+dlGbsD9LOIOa3yDwuEVTWzKD0b3uON6XJRaK/UrvdVaKyelqzqpPOm4GPJEmSJLWgmJoYFu1EIrpaJOzJVNbMpDp/MoUdR6gunEya3k5h7UFIUF05FTqKzS5ROmcGPpIktZjq7iDtDgqLqoQnLiWpZRWm07fvAAAgAElEQVSfWaG6qQAHAiJRuLbaWnP4ZNLCTioLO48vVy/vaWI1DTJYpvjYk8TBPirLF5HmzWp2RaqDmKiXXevt7Z2YhUuS1ESVHxao3J6d7ykkSjeUKVx0YexSu7u7z3ppEPf/kjS+UhXSjiC6kicBWkjbLd+huG0XUJu/afAlz6G6dEFTahnN/l/nJsdTUEmSpKFSGSp3DemaXg0qd9pVXZJaWRSgsMCwp5XE3t7jYQ/U5q0uPriueQWpbgx8JElqFVWgPLwpDXhSTZJa1ab+w9y6eweb+g83uxQ1UmmEkz1tzvaSR76rkiS1iGiHwuoq1UdOHOgVr6w0sSJJUrN8c/cOPrzhcRK1Hh7vXraSF8+e3+yy1ABpWhflVcsoPbahtlwqUb5qVXOLUl0Y+EiS1EKKP10hFqTapM1LqhQudkocSWpFn9664fgVuhLw6a0bDXxaSPn5z6S6cmlt0uYl82HK5GaXpDow8JEkqYVEEYpXVJtdhiSpyY5Uh/fw7K/Y47OlRFBdNLfZVajOnMNHkiRg8+MF/t9X2/h/X2tj6zp3j5KkfHvp7OFXZHrZjHlNqkRSvdjDR5LU8vbtDJ64/8Quce19JbqmD9I90+FOkqR8evumKVy8cRoPdQ3ytINtvOCOQarPeorKtTObXZqkcWLgI0lqefv3nNqjp3dPGPhIahl7dwSbHitSrcKilRXmLPLzL89i9xHafriP65nM9btPzN0Sd+yhsmoqdLc3sTpJ48XAR5LU8qbNrALDL1E6bYZfdiS1hsOH4IF/K5FSAPDwU8GkF5QNvXMsegdHbs/uSwY+Ui44SYEkqeXNnJdYdlmZYilRbEtcdHmZntkt8kVnsEph7UFiYx+k4b9z7DlK4ZFeODDyFwNJ+bB3R+F42FMTPLXNrwl5Vl3cSWo/9T1OnUXSAq/WJOWFPXwkSQKWXVZl6aVVIs6+bm70lWn/3EbiYBmA6qJOBl+5CApB8Z69lG7fDUAqQPllC6le1NXMaiXVSefUUwPuzmktEnoD6TBU1xWgHQoXV4lW+IY0qcjgLyym+IOniD1HAUizJ1F51iwoGfZJedEKH2eSJI1KS4U9QPGB/cfDHoDClsPE5sOkhZMp3rXneHtUoXjXHgMfKaemz0ksuKjCtvW1L/qzF1WZs7ja5KoaIx2AwX9og/7aDqA6p0rptWWieJYNcyDN6aB8w8Jml9FQewfKfGrzPjYdHuQZPZN5zcIeSoUW2/mrpRj4SJLUqgZO/UIXA1VSFSifdHb/aGt8+ZNaUQRc8vQKyy6rkBJMaqERPZUHi8fDHoC0q0DaGMRFrdPDqZX8j8d28XhfrUfT431HGUiJX1wyo8lVNc9A9Si37vpHNvQ9ziVTr+SFs19JsRXSzhZifz1JklpU9dJppOKQLzpdJarLpkB7gerqacPXvaKn0eVJarD2jtYKewCojLJNE97egfLxsOeYO/ceblI1F4ZPbfozbtl+M/cfuJMvbP0/fHHr3zS7JI0ze/hIktSi0uwOBl+7hMLDB6C9QOWKHmirnQsqXz+P6rzJFHYfobpkCtWVU5tcrSSNv+LlFaoPFGAgC7+nJ2K5vXvyaGqpyNRSgYPlEz1W53e07tfhSirzw33fHdZ2175v85pF72pSRaqH1v0LlyQNs2tLsHVdkUIBlqyuMH2OB7ytIM3uoPK8jlPvKAbVK3twIJekPIvp0PbGQaqPZpM2X9oikza3oLZC8KvLZ/KR9XvoryTmTirxthYezlWgyNRSD73lvcfbekozm1iR6qEhH2cRsRi4GZgLJOD/pJRujIgZwOeAZcAG4DUppX0REcCNwEuBw8AvppTubUStktSKevcED99ZAmpnOPfvCa598SCTpzS3LkmS6i26oXid8XYreO7MLtb0dLLraJlFk9sottrVGoaICF696F383cY/oZwGmVTo4BcWvrPZZWmcRUr1P4MbEfOB+SmleyNiKnAP8ArgF4G9KaU/iogPANNTSu+PiJcC76YW+FwH3JhSum7oY/b29nrqWZLGyRMPFNn82PBJ+lZeU2bhCg+A1Tjd3d1nPfJ2/y9J0vg5MLiPrf1PsrTzEjpLzbka52j2/zo3Denhk1LaDmzPbh+MiEeAhcDLgednq90EfAd4f9Z+c6qlUXdGRE9EzM8eR5I0zjq7Tv0OPVKbJEm5cqhM6Y7dxLZ+Uk87lZ+YRZp96jDXo9UKjx86yMLJncxoa29CoRpP1QQDFTg2hU+5CilBWwteoGpa23SmtU1vdhmqk4aPUI2IZcA1wF3A3CEhzg5qQ76gFgZtHrLZlqxtxMBn7dq19ShVklpGqgYd3Ys40jsNSEyZuY/dvdvZc6DZlamVrFmzZkzru/9XMxztm8yB7XOpDLbR2dPL1Hm7aOFRIRNaVBMrv5MoHska9g8SG/tY91PBwJQTb+rm8iB/3beXvlSlAPzC5Gn85CTHPE9U6/u7uHX/AvqqbSyZdIg5pX7uOzyTlODKKft4fvcO/0832Fj3/xq9hgY+EdEFfBF4b0rpQAz5n5RSShFxTqeTV65cOU4VSlILWwVHDg8QBZjU0QX42aoLm/t/NVqlDHd8rY3yYO0Y9uCu2cyZP53FKx3+OhHFxj7aj2wZ1lZIcNHATCpXn5i89ubHHqAv1d7jKvDVo3287tIr6Ci2YHeQCW6gAh/9f230V2v/hzcd7WLT0RPDmH7UN5NnLO3mGXP8P618KDTqiSKijVrY8/cppX/Kmndm8/scm+dnV9a+FVg8ZPNFWZskqY46OmHSCBdskiTBwX1xPOw5Zt/Ohh1Oa7x1jhzYpMnD2/cMHB223F+tcLhSrltZqp/d/UF/5czddzYdtHvPY327uffAVsrJ4Guia8geKrvq1ieAR1JKfzbkrluAt2a33wp8ZUj7W6LmWUCv8/dIklRfh8se2Eln0jk1EYXhHdK7up3vbKJKszuorJ46rK06s53q6mnD2p43c86w5SumdjOjfVLd66unxw8d5UNrd/G/1u7ioQNHzr5BTszrTPS0n/x/dvjy6umtvS/8g/W38d7Hvspvrfsm73r4S+wfbJ2/jzxq1FW6ngN8H3iAWk9IgA9Sm8fn88ASYCO1y7LvzQKivwR+ltpl2d+WUvrh0Mf0Kh2SJI2PjYcH+JO1u9jYP8iSyW3855VzWNbZ+ElJvUqXJoIdGwqsu79IeSCYMa/KZdeVKbU1uyqdj9jZT2w+TJo1ibR0CidP4JJS4mu7tnN3716WTu7k1fMXM3UCv+k7jwzy7+/fykC19nFaCrjxioUsacLnfjNsOhh8YV2RXf3BVbOqLJ2a+NbmAuVq8MLFFZ6/sHUDnwcO7uA31/7fYW1vnHc1b1pwTV2f16t01U+jrtJ1O3C6N/H6EdZPwK/VtShJkgTAR9bvYWP/IACb+ge58Ynd/PkVC5tclXRhmresypwlVSpl8GJN+ZDmTibNnXza+yOCG+Yu4Ia5CxpYVf3cue/w8bAHoJzg3/b2tUzgs2Rq4n3XDB+S9xPzWzfkGaq3fGpvnv0jtGnicNCxJEkt7om+4fNTrO8baFIl0sRQKOQz7En9UN0QpL5mV6J6mtV+6jn/kdrUep4xbSHTSyfCzwLB9TNWNLEinS//Z0vSCMqDsP6BIvt2FZg6vcqKKytMOv3JP2lCu6p7Mvfs7x+2LKm1VJ8Myl8rQTmgkCj+TIXians95NGzZnSypmcyP8w+96+c1sHzZnmZecHkYht/tuplfHnXw/RVBnjxrJVc2jXn7BvqgtWQOXzqwTH8kurpkbuL7Nx44iod3bOqXPN8r8ihfNo3UOavNzzFwwePcmnXJN61fCYzmnC21zl8pOYZ/FSJ9NSQzv+dibZ3Dp48nY1y5Mm+ASokLp4ysSeg1sTnHD7145AuSRrB3h3DPx579xTwCqzKq+ntJd6+ZJCrpt3I9iO/xGc2/3d6B/c2uyw1WbUKTz5U5N7bSjx+b5GTrkytnEl9J33fOsLJFy9Sziyf0j6qsOfhvcEnHy5y2+agYqcvaUIx8JGkEUyZNvwot2NKolA8zcpSDnx8w/9k7aEHGKge5YEDd/H3m29sdklqsvUPFNn4SJEDewtsW1/k4TudCSDPCpcO/yZfWFUl/KbQ8v7piQIfub+NH+wq8o9PtPF7d5eoGgRKE4Yf45I0gpVXV5jcVTuiae9IrHpG2W7tOXa4UubJw4eoTNBhzudroHqETf1rh7WtO/Rgk6rRhWL31uGHift3Fxh0Pu/cKj63QvF5ZWJFleJPlileX2l2SWqyShVu2zL8bNeu/gKP7vOASJooPFUjSSOY0p249sWDHO2H9o7aFVmUL9XtQeV7RW4v7OIvlz7Ckagwu30Sv7vycpZ1ttbkle2FDhZ1XMSWI+uPty2fsrqJFelCMHlK4ujhE1/s2iYlih455lYUoHhNleI1VWJzH6V/3E0crlBZPY3KVT2UvruLwtZ+qvM6KL9gLkxta3bJqrNqYsTePIMO65ImDL/CSNJpREBHp2FPHqUylG8pMbADPrbwMY5E7Uz27oGj/O2W9WfZOp/evuz9LJl8MQCXdF3JGxe/p8kVqdlWXFWhfXLt216xlLjk6WU/D1vBkQpt/7yVwq6jxKEypR/upe3LWyiuO0T0Vyg+2UfbN7c3u0o1QFsRnjFneLrT1Za4bEZr9oaVJiLP00iSWk7aE9Af9LUNcrBtcNh924/0n2ar/Llvd3DfngJXz6py9ezl/Nbq/001VSk4ccdx1SpsXVdg364CXT2JJasqlFqkY8PUnsSzXjLI4QNBR1ei5FFj7t257ym+uWkL05Ye5XVbp7C0v/amx97hY/kKW/ohJRzrnH9vu7TCkq7EvbsLLJiS+PkVFdrcRUgThrtuSVLLiekJ2hI9g+2sPtDNo9N6j9/37OmzmlhZ43zy4SI/2FWbm+GunUWunVPhbZdVDHtO8uSDRTY/Xnud9u6AwweCy3+idS7ZVyhAV49n81vBfQf28fvrHqotzIG7ph/l5ntn0VUpQFcJDp74u6/OnpTbsOfOvX3849Zeyinxc/Oncf3sqc0uqakKAS9aUuVFSxzHJU1EHtVJklpOTILSi8vQmXj/o1fwor4FrJo8lTcsWMJbFi5rdnl1N1iFu3cNPwS4e1fBeRlGsHPT8Ndpz7ag0jp5j04j9cLgP5UY+Ks2Br9cIh1qdkXn73tP7R62fKAtcU/PAJWVUxm8YWEt5AGqM9opv2heM0qsu839A/zPx3fxeN9R1h8e4C+e2MMDB1qn16ek/LGHj6Qx2bGxwI4NBdo7EksvrTBlWrMrks5N4eJE20WDzC4XeG/7xc0up6FSgpP7bCRGnpyz1U2anBg4MnTiYigUz7CBWkL5GyXStloYmDYE5VtLtL1yYieBs9onndI2/YZllHu6ARh8wzIYqEJ7fs8X39fbz8m59737+7li2uSm1CNJ5yu/n9iSxt2uLcGjd5fYv7vArs1F7vtum2e6NaFFAaK92VU0XnsRlk8bnu4sn5qYZJBxihVXVii21V6rKCQuvqqS15EsGqWUOB72HG/bOvH/KP7d3AWs6Ow6vvzi2fNYlYU9x+U47AFYOvnUHcLSzhbcSeTc/oOP88DjH+bhJz7G4X4nIFe+RUoT83Reb2/vxCxcmsAeurPI7i3DvxFe8ZxBZs7zv+NElMpQfahA2hcUVlQpLD7z+7h34ChP9vexaso0upy9dcKrJvjHdUXW7Q9W9lR51cVVCk3+ztrd3X3WCpqx/y+X4eDeYEp3YoROEGpBg/9QIu08EX7Eoiptr5r4Z0BSSqw7fIgpxRILOlqvV0s1wUceO8Tt+w4wEEd53syp/PT02SzqSszoaHZ1Gg8HDq3n9nvfTTXVLtjQ3tbDC679W9pKXWfZUvU0mv2/zo1H7JJGbfKUkdoMeyaq8ldLpA21LyzV+4qUXjpI4ZKR389v7dnBhzespZISkwtFfnvlZVw1bXojy9U4KwS8dmVlWNtguY+IAqVi633RO5NSCabP8bOupZWrsKMf5nRAe5HSi8uUv14i7SoQ86uUfnrihz0AEcHKKa05SXHfIPzZfSW29c1gFjNYNq3Cpu0FPro1KJB4/SUVnrPAic4mui07v3U87AEYGNzPzqfuZNHcn25iVZooIuJ3gYtTSm8ap8f7IHBRSumXxuPxRmLgI2nUFl1SYe+u4NC+AkRiyaoqna15XDjhpV6Ohz3HVH5cpHDJqV9aKinxic3rqWQ9QvurFT65+Un+4mk5CXwGqxQePUAcLlO9ZBpp+qnd92PLYQqb+kizO6he3JW7q9NUU4X7H/sztu78NlEosWLxa1i17C3NLksXqNQP1bUFaIfCxVUi50eThfv3UfrOLiJBCig/dzbVa2bQ9oYyqVobGqqJ7/vbCmzrO/FmbjhwokdzleBL64s8e16Vou/3hNbeduqBa1vJCSnVHCmlP6z3c+R8Fy2NjyOH4cBTBbp6WjvgaJ8Ea64vc6g3aGtPTLITwMRVguPfXo5pG3nVwWqVQ+XhQdC+wYH61dZIKdH2xc0Udh6pLd69l8FXLyHNPdF3v/DAftpu23l8uXx1D5XnzW14qfW0ZcetbNl5KwCpOsDajZ9mzoxnMn3apU2uTBeadAAG/6EN+mufHdU5VUqvLRN5nf+pXKX03VrYAzAQic9seJIHOjazeuo0Xjt/CR3k9ZdvLQcGzhzk95drVzg08JnYlsx/GZt33Epf/xYAZvVcw5wZz2hyVVL9+JElncXurcFd/7eNh+8q8YNvtLFtvf9turoNeya6mAKFK4d0TS8lis+sjLhuR7HIs6fPGtb2wln5CDxiW//xsAcgKoni/fuGrVP80UnLD/SSt+uXH+x78pS2AyO0SZUHi8fDHoC0q0DamK8eb8McrhBD/rt/ZPkB/n5RH/cf6uXz2zfzkQ2PN682jatr51YpDLl+YVth+DDOq2clOjxVPuG1t03jeWs+xjMv/wOefdWHuO7KPyJym1jnX0S8PyK+cFLbjRHx4YhYEBG3RMTeiFgXEe8csk4xIj4YEU9ExMGIuCciFg/ZfnNEHMjan3vS03ZExOey7e6NiKtGWefWbJvHIuL6rP13I+LT2e2/jIhDQ37K2RAyst/lixGxOyKejIhfH+1r5MeWdBZPPlQkHe8FEax/sMj85dW8jehQCyq9oEL1kippf1BYWiXOMF/h+5avYnnnFJ7oO8RV03p42ZwFjSu0nkaapfjktpMz3sh+cmT29Gfw5NYvHV+OKDKr5+omVqQL1ki58MhZcT5MayNNLhD9tdTnO7OODrv7+/v28J+bUZfG3bJpifdeXeb27QU6ivCChRUe31/g0X0FFk+tcv2ifAX9raxQaGPuzGubXYbGx2eB34mIqSmlg1FL714DvDK770FgAbAauDUinkgp3Qa8D3g98FLgceBK4HD2mHcDvwf0Au8B/jEilqWUjp0hfHm27Zuy+78cEZekNGRyqCEiYhXwH4BnppS2RcQyOLVraErpP2TrERFXA7cCX4mIAvDPwFey510EfCsiHkspfeNsL5CBj3QW5ZO6+FYGa5dkNfDJl3QEogWvwFFYmGDh2Sej7SgWef2CpQ2oqLHS/MlUF3VS2FLbx6f2ApWrhs9NVFkzk/jG9uMZT+Wa6VDKV0+/OTOv5YqVv86GrV+hUOzgkiVvYMrknIR65ylVoHp3germAjE3UbyuQrTClboqVQqPH6Ta0w7zT3TpLF5eofpAAY7tG6cnYnm+J7QeeM1S2v55K9E7yNxykY3FE0Nc53jZtlxZ2ZNY2XMiwZw3pcpPLTTokS5UKaWNEXEvtYDnZuCF1IKbrcBPAi/Lgpr7IuLjwFuA24BfAn4zpfRY9lA/HvKYnx7yFH8aEf8VWDVknXtSSl8AiIg/A/4T8Czg+6cpswJMAi6LiN0ppQ1n+p0iYjbwZeDdKaUfRcR1wOyU0u9lq6yPiL8BXgcY+GhsKmXY+EiR3qeC7pmJpZdWKLb4X8n85VU2PnIihJ23rEohX9/1Wlp1T1D+lxLsDZieKL2kTMGr8cCRCqVv7aCwo59qTzvlF82D7lMnM86DwVcsorD+EBwuU13RBV3DJzOqrp7G4Mx2CpsPU53dQVrc2aRK62vpghtYuuCGZpdxwal8r0j1x7V9QNoKaX/Q9nP5uCLTae05QvtnNxGVRALS3A4GX1cLfGM6tL1xkOqj2aTNl+Z/0mZ62hl883IAfvnAbP5w3cP0VSpMLhR515KLm1xc/VRT4t79/Tw1UOaZ0zuZ0Z73N1rSBPUZaj1fbgbekC0vAPamlA4OWW8jsCa7vRh4YqQHi4jfAN6RPUYCpgFD5zbYfOxGSqkaEVuydUeUUloXEe8Ffhd4WkR8A3hfSmnbCM/dBnwB+ExK6bNZ81JgQUTsH7JqkdMHTMP4ya1hHv9RkZ0bawe2vXvgSD9cdm2e+2qf3bLLKkzuSuzfFUydnph/kWd68qTyrSLbDvfz8cseY8OUg1zzwAx+9fkX0dniSef/Z++84+Mo7/z/fma2r6RV75IluRdsXMCmxfRqSriQhCQkJIG0y/0OcgmpF7hUILlAeoMDcgnkQhJKqKHEdNsY417lpt6lVdk25fn9sfJKa0m2Y0taa3ber5df1lN25rta7czzfOZbnH+qQ+mOJ2ZWB8IoDx8kdvN0y3m2AKAKzJlHzsYuCzwYBWnoAmYTr0Y1DLlPIHUsLXI4X2hBGHHhWwCiNYI40I+sisd9igCoy+P3QkNK+jSNbKc1BeHDOTUrh98tWsGB8ACVXp+l7xU/2NPO610DAHgPdvH9+SVM99seTTY2NicdjxL3xCkn7ulzBtAP5B4K9RqcV0nc8wfios104iFfCQbz9dwGXABsGxR0ukkO5q8YNl8hHmI1QrwZjpTyYeBhIUQW8GvgLuCGUab+FOgFvjGsrx7YL6WceaRzjIUFV+4Tj65BR5NgoDfVlow/7Q3KEdvpiBBQPM1kzmkGZTNs7x6rIdsFd8/ZzLs5nXS7Yryc1cJv6/al2qzU0qslxJ5DiJiJaAinyCAbm9Qh/DqCYR49GQxF3od0iFnvIYAIjXzQo7RHR/St6+nkoxvX8OGNa7h1+7t0xEbOsSIeVWVORpalxZ66UCwh9gCETcnjzcEUWmSTKgwzRn+oAVOm9wNgm5MXKWU7sBp4gLgwskNKWQ+8CXxfCOERQiwk7rVzKFzrPuDbQoiZIs5CIUQekAnoQDvgEEJ8k7iHz3CWCiGuFUI4gFuAKLBmLPuEELOFEOcLIdxABAgDIxYPQohPAyuBD0sph4+vA/oGEz97BxNOLxBCnHYsvx/r3qkmiL5uwaZXHehaXOSbNteger51LoAeH4T6kts2NlYmWBXloL8/qW9jb/cYs9MEt4IUJMoQJ/DbVSxs0gt1XSeurk6EkGgyi4ijHMe5JsIwcTzXjLK3H1SBcVouxvL8ox9wimDMysSxYeg6KAUYCwJJczTT5Ef7dtFnxMWw3QN9PFC/ny9NnzOpttqMD/t7BU/sU2kcEDgUqA6AkAI57EYQNe1w53Sjo/tdNuz4HjEtiMddwLL5t5OdOSvVZtnYjMbDxEO6bhvWdz3wK+LeN93A7VLKFwfHfkQ8r87fiYdr7STuHfQ88BzxRM4DwD0MC+Ea5AngA8BDQC1w7VgJmwdxA3cCcwGNuBD1qVHmXQ/UAE1iKFns96SU3xNCrAL+G9g/eLxdJHsBjYmQcmpevIPBYEoM3/qmg46mIRcPISRnrNKwSs6+7lbBtjVxQUt1Suav0Mktmpp/IzY2x4I+IPnklnV0qENPps/IzuMbM+en0KrUo65pR13bNZSoeEYG+hVlKbVpMogYJpt7IxS4HFT70yNE5WQiEAgcNR3+ZN3/RUcU1x8OJPVpZxRgnp6LurEbxyttSWOxD01DWijsT325FXVPL9Ktop9bmAjnOkRzJMxNW95O6pvm9fGLBcuwmVoMaPCNNU4iRvLXz+nuZ7+IRz8owLfmFrMo4B3lCDZW5eW1HyMUaU60c7Lmcdbie1NokY1VOZb7v83xYXv4/JMc7q0spUCPYRnBJ6dIcsYVGgO9An+WTPuEzTbWx+EXfGn+bH60bxetsSiz/Zl8qnJ6qs1KOcaKAow5AZR9/cgyH7LIOhvZsWgIx/jq9mZ6tLgX7ZXFWXyqKi/FVtmkCtE5MjxJCcYwxxgTnTFLCT7G+UUY5xeNOV7s9lDq9tIUHQr1XBrInQzTbMaZPT1ihNgDoOp+Pj0zj46oztl5fmZkWGSxa3NMmKZGKNKS1NcfOtzRYeryTvervN75LF7Vz6VFH6TSZ90E7Dbpjb2d/ycpqTLp7Rzy8AnkmfiOnOtzyqE6ICvX9uqxSR8WZGZz/8LTCRkGfocDDAm9GmQ6QJcQMSDTefQDWY1sF+aS9NnA/bkpmBB7AJ5q6eWq4iyKPWn42dtglvto8Zm8kBtClYJL2zxkVvnjY1V+1K1D+UykKjAtWr1tLIQQfHPmfO6r30d9JMTyQC43lFWl2qxxY0A3+WNjN/sGYizM8nBtaTZOxZoPoIt8o6/5in2SVcWHp66wSRcUxUlB7jLau4Y8+YryVqTQovFje+87/ObAd4bafe/w3XkP4XfYf+82x4cQohLYPsbwPCll3WTaMxxb8PknKak2cTg12psUfBmS8pnWS9Zok57IKBivqZj1CqJQ4niPjrCYmHkkhBD4HQ5E/QDO55oRIQPpVUEzEDqYpV60VWXgtfPYWJWglpyPTQK9uklxasyxSTHtDp3PL+6ifzBR6RPTIvy8eiaZgDk9E+3cwrjo41bQl+eBP/2WVBVeH/81a0GqzZgQfljbxvqeuPfS5t4IvbrJzRb1+Cvxw6oqnWcOqJiDgbzZbskHZ1onR6XN8bF4zpfZse9+gn27yMtexOzqG1Nt0riwoSe5mnXYGGB73wZOyzk3NQZNEuqWv6LueAqcHvRTP4RZfR6WQBoAACAASURBVHaqTbIMg4JOxlEnpoD0W52MAwXlkoJy+yZoYy2M1SrtezU2BbqoaPYz69lMnO/Xj/5CKyFlvBzxYIUaER76nitNYdS3OzHeU5gq62wmmAsLMhMbPIAqn4uZdh6ftOXlzraE2APQic6b3R1cUlACgLkoB3NRTqrMs5lAIobJOz3JVQlf7xywrOADcEWVybllJgNaXOwu8IJFHZps/glcziwWzb411WaMO/mukY9yRuuzEsrBt3C+fX+i7Vx9F7G8GmRWaQqtspkMbMHHxsYGgI2dPXxn6SY0Je619i/1VXw8VolIp/2uLhF9Y4tcSleUdJB6u2I6EVNSmmahTGfl+fmmUsRrnQMUuFWuKg4wrEqCTZrhVJSRfWJkXzogpUyr78LbrSrFsUpi6PQ6OtGUKIXuoSVzQ7/g6QMqvTFYUWxyTqk1vL39zvg/Gxurs7LgSjYF17BtoBsTDxfmLaTab+0Kg0rzpqS2kCZK8xYMW/CxPLbgY2NzDEgTZKMABUSpxIrr3j9V7E+IPQBPlB3kOlFKZjpdJpwKZpkXpTE86rBRdVJ6ao4rvznQydMtvZjAqQEPX59VhEe17iZXM2BPUJDjlpT44bQcH6flxHOxdEVga6+gJkviszdBaccFeUX8rbWRtsFqDdO8Ps7MsU7p9WNhQ0+IX+3vpDWqc0auj/83vQCfha8HABvaBA/vdqLixAu4Yz76/Af45LR4PrOoAT/e5KBfiy8E9vUquFWd04usIfqkI+1d69m+77dEY12UFZ7P3OmfQhF2+LaV8ap++tXLaSdehe7ZoJuLo72Uuq2bw0fmjSxIYo7SZ2M90mgnZ3O8SBOIgkjTSpwyBvqfHci2+CJXlJk4rtWx2logkqVDbKitKxKd9FvAapeV4ni9HdEWQea5IWogBnTM2VmYi7JTbd6EsrMvwt9aehPtjcEIf2/r46qSQAqtmjjaw/Cjd530xOIbtwvKDd43I+7D9VqTwh93x/NZuFXJ507RmZVtJ7NPJwJOJz9fsJS3ujtRheCMnDzcisUu/EcgYpjcvaedASN+H3ijK0SBu5tPTrNuWBPAxo5kQUtB5T+qKpgzmNNub1AkxJ5DbOpQbMFnihLT+li/7VsYZgSA/Y2P4fUUUlP+Lym2zGYi2d7fyvrexkS7V4/yZNt2PlNhjaTUo2FMPx/Rtgt1zwugOtEXfRCZn56VyaJ3/bYU+ApQDjQAd7q/fHPTiRxTCOEBXgXcxDWWP0spbxdCXAD8AFCAfuBGKWWtEMIN/A5YCnQCH5BSHjgRG8bCFnxsjohZL9D/7oA+gSgwcazSEdbc+42JuUNJiD1v5bWy2d3NzB1+LppfiGohV58rSkv4yYE9ifaZOfnkNms43mxGBDUkEnJc6GcWIMstXI3G70C/pCTVVqSEpoh2TH1W4fk6NSH2ALzcoLCyzCDHDY/tHUpeGjUET+xT+dKSNMtpZYNPdXBBfhGGlKzpCtEZ01me46MoDcIdGyJaQuwRpkKuXsI7B92oIYUbZhtY1dGncJSHW2XDbnkFXolAIhHDXmOLwVOVYN/uhNhziM6ezWkh+NSH9vL7+ntpDB9gftZSbqj8AhlpUqUqYo68n4/WZykUFf2sz6MvvxkUFZT0lAGid/32JuB24mLPId4bveu3d7i/fPP9Y7zsmA4NnC+l7BdCOIHXhRDPAr8ErpZS7hBCfA74BnAj8EmgW0o5QwjxQeAu4AMncP4xsejtevKRPWCsUTDeVZDRVFszPkhJQuwBkO0K+uo0vDgMRvf8pewAd8/ZwnMlDfw0vItfHqxNrV3jzCUFJfzXzAWsKizls9NmcFvRDJxPNqK0RhARAyViojRHcD7ZEC9TbmM5Fgd8eA7L0nlGrj9F1kw8vbHk9yoR9MUEmjnyT7wvZh1x1+af5/u727hzTxu/PdjF5zY3srvfIjf6I1DpdZLpiC8Ti2NVeM0MpOlkbavKjzdZdy1wfrnB9EBc6FKF5IppBsXDLoMFXriy2kAVcZGnJsvkwgr7njhVycqoQRHJAm525qwUWTN5SCn5zYFvcyC0C01G2Rh8k0cbf5VqsyaNRZklVHqGvLYdQuHS/NkptGgScbhBcRAJ1tL87l107HoQ04gd/XUWYNCz53Cxh8H2HYPjx4WM0z/YdA7+k4P/DimpAeCQJ9HVwEODP/8ZuEBMULI8696xJxGzU6D/0QGDLr7mFhPHhy0Q8hMhIfa0uEO4TJXcjnTK4BtHmWVirJc8X9yQ1P9CRwufrpw+amLPqcqy7FyWZcfzFCh7+hDGyKeWQpMoTWHMGuvnswHYPxBlfU+YCq+T03N8KBby6gIwTHj6oMqmDkGB18EXqkt5saubkG5yeVEmiwJeDvQKntyv0qfBiiKTCyqsEbqwoshgS+fQ97fYJ6nKkigCFuZLNnUMfdbLi+0NXbpyMBRjbXco0Y6Zksebg9w209oV+1yKwtdmFfLrvb3okeQNcW3QWtfB4fic8MXFOm0h8DkgY5Rlz2XT4omaQxoUWtjhNR1wu3I4dc6X2Lb3V8S0IKUFK6kpf1+qzZpwevUu2qJDESyGdLGp9yC6NHGkQXJ6VSj8d9VF9Kx+g9KWPmROFo5KJ9K6z7iS6GtcTcvG7yfavXXPUn3hw4gpv3k9KofCuEajHLgNuOV4Dy7iv8B3gBnAz6WUa4UQNwHPCCHCQC9wKG6wDKgHkFLqQoggkAd0HO/5x8IWfMaB3i0GzxU20uOKcnZ7MbO6AsiDAlEztV18hRdiRRp35m3l3ZxOFAmXxsr4V9IgwVe/juOFZpSG+CLfme/F40i+AboVxXKb/+HIfPfo/QLMMcasxltdA9y5uy2RyeiSwkw+X2OtpK3P1yk8ezB+g28agKZ+P3csdyXK8YZ1+MlmB2E93vHnfgW/U2dF8dQXfZYUSj6jaLzdqpDjgQvLDRQBMTPKnKJnCamdqPpKluRN4+ySqf9+bY4PQw7eyyX4jQBO6aYvFHf91wx4o0WhNSQ4Jc9kXu7Uvu8fzoIsL3cu8PLFNyQMC2FyWH8/eFQhJ8MZ/2cz9SktPJeSgpVIaaCkSZhLpiOHfFcxHbEW+mUNXSwDTeXGrY/y3RkXM82bk2oTJ5zs9bvIrwvGG609mM+/Sez6y7BkZZbD6Nj1QFLbiPXQ17SarLILUmPQ5DGW2HOIihM5uJTSAE4VQmQDjwkhFgC3ApcPij9fAn4E3HQi5/lnSYNb9sRiSsk3vBv536pa/lZaz1cXrmdrVjdYRCB9+YwG3s3pBMAU8Iy7kZ1/3I7j8XpE8+iVjKyA88UW1LoQwgRhgtoW5sZuf9IX5kOl0yyVw+dwZI4L/ZwCpFMk/BGlU6CvLISs9Fjl/rUpmJS2+oW2PoKatTw9hnu4ALRHBK1DzgzsDYqE2DP0Guv83S/Kl9w03+BfphsEBnXMn+79Bo803MOuyO/YZXyakqzN6bD+sxmDGr+bRVkecrRicvRiMowcOroLeLlB4f7tDv5vj4PVjSo/3ezkrRbrLav8TlhaMPxKGA9zsrGxEkKItBF7ABShcHPV1ylxz6CbJRzauHRqIR5seie1xk0SSlNbcru3H/pDY8y2GHJkviLTsH6oMvEEzUeifjxOIqXsAf4BXAYsklKuHRz6P+DMwZ8bGRSYhBAO4uFeneNx/sNJnyvbidITQ93RC06BmetCaQojc9xsLZfsV/oT00wheaGqgcUV1ogDbVEiI/qaZIxFB0MoDXXEPlpjyc2/aBh5wV+5R2Ha+cvY2tfLDH8G1T7rhzQZS3IxFmbDodAuVaTHo900otgnOdA31Harkhx38vjhCUqLLRzCUBfaw+7+TYm2IXVebn+cIpGF11OAQ03TcoVpzm0zivhKm5vh/jsvN6h0RpKVwFcbFc6wgPfb4dw03+DcHoPtXQrLi02KLHwNsBkdKU2CfXtwu3LweqwXzrinfwsDeh/zspbiUtLDi7nKP5vPTr+btdseTepvjfWP8QprIQtyoWdoASR9HvClxz0+u+Y6Orb/MtEWqoessgtTaNGkcSfwXkb39GkA7j7eAwshCgBNStkjhPACFxFPxBwQQsySUu4e7Nsx+JIngY8BbwHvA16WUk6Im7At+BwDojuG85EDCG3kZ5Ax1wWHeT36qgRWCX9dnp3HE61DZQvdBpzWHQ9oFwYo+/sxF1nP7VMWeRBNyR5MZqGbEo+PEk+arXQdyogrRXNEQ0oo9VpL7OuJxpOV53ji7feWBrhrMKRLNZ2sLPAScFrEfW+Qq6oNGgcE9f0KXlXywVkGnmGfd74Xrp1u8OR+Fc0UzM62doJSMYrja3vn27xS9yoO1cfCWbdQWnju5Bs2gbTF+rmv4W0OhLtZGijjxtKluBUH3VqY+xrfZs9AB6dkFvOJsmX41fTL4wbgVRWcCsSGaTluNZ7vyZRiWF8KjJskZmTDjGzriVk2RycS7WTN5i/TH6oDFGZUfoA51R9PtVnjxi/23c6m4FsA5DoLuW3WveS4rBW+PRZF7gxm+/LZFRpKG3JOdnUKLZo8tDMWwkAYtakNM8uPvvI0LFt+8DByqq/B4c6hZ//jODz5FCz4LEoa3N/dX765KXrXb+8A7iBZ9GkA7jjB0uwlwEODeXwU4E9SyqeEEDcDfxFCmEA38InB+fcD/yuEqAW6gA+ewLmPiJggIWnCCQaDk2a4+no7jne6Rh2TwO2XaLzZFx/PVB38cO6plHutIwq81tXOMzsP4Ok3+FCDnwV9QxcE7aoyzGrrebqI7hiOpxpRuuJZ681sJ/oVZWPmtUkXDCn5wZ423uiKe0Atz/HxlZmFOJSpHe9iSvjfnSprWxUkgmWFBjfOiZcd3h6M8rudboJhF4qQXFppcmW19QSPzghkOsE1xoY1oscrV2WnwVfgZ3v/ky29ce9bBwpn9Jsc2uc6HZlceMYjqIp1Fkb/tuNJasNDXsRXF8zlMxUr+Oqe59jY15zovyB3Ol+ses+E2hIIBI56MZnM+/9wnjuo8MT+uBqqCMmn5+vsDSr8vT7+pXEqks+fojMrZ2quq2xsxmJb7S/Z3/jYsB7Beac/gN973AVtThpq+7fygz1fSOq7pPADXFv2yRRZNPl0a2EeadlIXbiH0wMVXFM439I5Kkeg6eBQ0yJ3z8nMsdz/x4vBaly3EQ+pqgfuPkGx56RmUjx8hBD/A6wC2qSUCwb7conHsVUBB4D3Sym7B8uR/Ri4HAgBN0opN0yGnWPiOMLfnwJfq5zDJr2PrliM07JzyXRYy+vhnNwCzpkfwPXXBkSflug3ZmViVlkznb3McaHdUA364C7PDmMCYE1XKCH2AKztDvF61wDn5k9t0W9Lp2BN65DSsb5NZWGe5LQik/3dXoLh+KXSlIJnDqosKzQoscif/oae13mr8+9kOrO5pPADFKllo87zOEjy/LEyn625g03BN+mOdRA5+ATSHFoDaHofMS2I112QQgvHjy4tlCT2AKzrbeATpp4k9gCsCx4t9N3aXDrNZH6uRn1/3NMtzwsL8w0W5Zu0hgRzc820EERt0o9QpPWwHkk40mYJwWfA6BvRFzqs7x9de3mzp44ydxbXFs0ny+GZLPMmhRynl89VnJFqM1KHM00WNzYJBsWd467GNdWYrL/wB4GfAb8b1vcV4CUp5Z1CiK8Mtr9MPLnRzMF/y4FfDv6fMowFAdStPYiB+FP94bUqjIU5CJ+DUw+P67IaARexj1Uj2iJxEcTvROZY5wn3aLzc3seTLb04hOB9pQFW5Fpkh38CtEZHJnlrjWijzJxatIVGirpt4SONCUr8U/8p/ubgGn69/1uJ9tbgOr4z/6G0yV8wFqpQWZJ9DgA7+7upDf0xMRbImGkZsQcgy+Ehx+GlWx8KYZ3mycalOChxZ9IcHdr4TPNmp8LEk4qKTElFZvJ3vyYgqQlM/euBjc1YlBaupLXzzUTb484nNzA/hRaNH/Myl5LnKqIzFhe1FBTOyLs4Mf5Mxy5+Wjf03jf2NXPvnFWTbuek0zeAuq8B6fNi1pSBauF4VRsbizMpgo+U8lUhRNVh3VcD5w7+/BCwmrjgczXwu8GkRWuEENlCiBIpZTOpIsNJ7IZqlNp+cCmYuU6UhjAy142s8FEXimFIqPZbVwDpjOn0aAY1RR5EGrg8buuNcM/eoXjm7+9u42eLyqjwWvczPhaW5/j43/ou9GE5nK0ghC3IM3l8v0zk4hBIFubF3+SifJN1bUMLHa9DMivbGpu7t7v/kdQO6l3s7tvEgsDpI+aGIi109mwmkDGTrIz0iO8HmFX1UYTioK1rHZm+acy2UN4KAIdQuGXaWfz3wdfo1aNUerK5qew0AG6pPJu7DqymSwtT4s7kc+UrUmytjc3EEdOC1DU/h26EKC+6gAxfZapNOmkoKzwPKU0aW1/C485jRuX1KIo1vNmdiovbZt3LP9qfYEDv5Yy8i5nun5cYf6mzNmn+rlA7DZEg5Z7AZJs6aYiOblyPv4zQ4w+6jZ2FaFeem1qjbGxsjptJy+EzKPg8NSykq0dKmT34swC6pZTZQoingDullK8Pjr0EfFlKuX748YbH8O/Zs2dS3sPhmBIe6lfYEouH+8x0mtyUaeK0mB7yXEjhxbDARFCsSj6TZZBl8QinZ0IKL4aT3+Q1PoP3eK2x0R+NDs3Nq8EigoaLWd5ezshsY3hqnl7dyau9RTTGPGjKAG53Gyu9JrNc1vidHIj4Wd+fj5SwNKOTGu9QlYotA9lsC+XgVXRWZLZT5BpZvW4q8mr0cdZpLyT1fcz7dQrUZDf9vvAmmrrvg8Ei9QVZ15KbccFkmWkzCejSpFfGyBHuJFHfkJKgjJIt3JOS02HZsmX/VA6fVN3/bayFKTUOtH0XzWgHQAgn0/Jvw+2c+iFL/wzrYi+wXnsJBYXlzktY7FqZapNSzv3hHWzSh8JeVQTf9p9OhkUEr9Eo236Q3Obk3KW1y2YRDkz9B3w2Jy/Hcv+3OT5OiqBFKaUUQhz3rnHmzJnjac4x81bXAFu62hLtPZpCQ3YhFxdmpsSeiaAlovHCxoZEKdoWQ7DBncvNVXkptWsi6YrArO4BXj7QiSmGkvMum1bGzIA1yzUaJjyw1kl3NH6tXdtXQFF+DpdNG6rIctc7Dg4cEsEMN6fnB7hitnWSF88kXisxTknSmGNgBy2tPyNqRPDmX8HMnIlNXDtZFGk3UV+7m+bIQQSC8wqu5szykQv8V9b/N4fEHoDugec4bdFNKMpJcQuxSWNSdf+3sRbNHa+jNbcn2lJqCNd2Zs5IH8Fje+87vLr38UT7pdifWFZ1FjX+uSm0KvV8OpTHV2qfo1ePIoAPlZzK4pJ5R33dVMZZ3wWHCT4VFRXIIuuu/W1srEwqV+uth0K1hBAlwCHlpJF4xuxDlA/2nXR0xEbmM2kfJcfJVEQz41V52qN6XOyRAgUFUxij5nGxAp0R+OUWB40DCuCklGxCSh+9rmZWlWSxyKJiD0DTgEiIPYfY1qUkBJ8BDQ70KSPGwTqCz1j0at3cU/tlombcq2dn/7t8wXE3szNPTbFlJ06WM4dvzvk1B0O7yHAEKHCP/jRbNwaS2oYZRUqDk+SZgY2NTQqQ0qS27hEa21bjdeczp/oTBDKnpgCnjpK3bLQ+K1M7sHVkX//WMQWfiKkTNXUCFktgfDjVvlwemn8d2wbaKHFlUurJSrVJE44+fwbK3gaEEV/jmcX5yMLcFFtlY2NzvKRytf4k8DHgzsH/nxjW/3khxB+JJ2sOpip/z9oWha1dghKf5PxyE0PCi/UqHRFYUmCyPMfHg3XdxMy4/4sq4EwL5DNZ26Lwp1qVkC6YEXBQKGM4orkoqESUfpZnx1Jt4oTw+D51UOyBQ2m5fWYWn6jwsHL0wkWWIc8jcSmSmDkk+pQOS0rsdUCOWyaJQqUWSFp8LGzrXZ8Qew7xdO33cRVeT3XZNSmyavxQhEL1UZ7gTiu5kp3770u0y4suQlXTazNkeUIRhK4js6Z2xT2byeNA05PsOvAQAP2hgwT7a7lg+e+n5LWhIGcJ2Vnz2D2wnZACFSLAtNI0SMw7jGrfyPtAtX/OqHMfb9vGQ00biJg6p2dV8NXqlXhU64Y4eVQnS7MsvhAchizKI3bdxSj76sHnxZhRYZcst7EU0XvOLiVeMKocaADudN/6+riUZRdCqMB6oFFKuUoI8QdgGaAB64BPSyk1IcSXgA8PvswBzAUKpJRdox33RJissuyPEE/QnC+EaABuJy70/EkI8UngIPD+wenPEC/JXku8LHtKMmS+VK/w571Dv57aoElIh4ODXg7r21Q+NkfwvbnFPN7ci4FkVVHWlE/cPKDBH3araIMb/9qggot8DgkgHjODSMjAip4dzQOj38y6IipWfL/D8Tnh2hkd/LluDZqeR43vNFZVDQk6ioAbZus8uNNBb0xQ4jO5boY1Pb0OZzSvF0ekm221v0BRXEwruTwFVk0uMyrfj89bTGf3RrIyplNRcmmqTbIZRxxvbkTdsgchJUZ5EdolZ9llam2OSlvnuqR2TAvS07ebvOxTUmTR8SOEyq6cItaxHYCdIswCvZ3pFKbYssnjlMDprCq+gRfb/oIiVC4t+gAzM0Z+ls3RPn7TsC4R6r+ut57H27fzweJFk2uwzYQiszMxllg7dM0mPYnec/ZNxLWI8mHd743ec/Yd7ltfv38cTvHvwA7gkDvgH4CPDP78MHAT8Esp5Q+AHwAIIa4Ebp0IsQcmr0rX9WMMjcj6OVid618n1qKjs6YlOXxlR/fILMVvtSjceqqHL2dax521LSwSYs8Qye3Gfmuq/AvyJI0Do/WbIzstRlP4II913ELMPQBucPoX4FO/CwyFsc3NlXxvhUafBtlT7wHucTMjYz4r86/k1Y6nkEjydagcdHJr6XgjLQQfgNKC91BaYI3cRTZDiNZOHJt3J9pqQyvmjn0YC2el0KqTl5jWy+bd99DWtZ4sfzULZ/07WRnTU21WSjC8+ayPQL8CxTrMjqlk+MqP/sKTkPZoM+uGVS3UZIy/tz3KZzOSS4/vGmjn6fadOBSFqwvmM82bPdmmTihXltzAlSU3HHHOwXA3h/v3Hgh3T5xRJwmioxvHms2I/hDGjEqMpfNsrxcro8dQDr6J0EIY084Ei33X05VBz57DxR4G23dE7zn72RPx9BFClANXAN8FvgAgpXxm2Pi6Uc4NcD3wyPGe92hYvNbS8ZNxmKOOU5GIw25xmU7rhbSUZ0iyDntfDiW5PS/XmgLIqiqDSyoNctwmfoekzG/y8bk6M7MlXbE2OqIpiSycFF5uf4zwsDwtOwe28qe176eh9cWkeaqSXmLPIT5U8W/cPvMnnN8vOCM0pJT7velVwcXGeohg3zH12cTZtvdXtHS8gWlG6enbyTvbv8NkVTs9mZBS8mxsM81O6FNhjxt6ipfiduWk2rTjwpDaiD79sL6D4R6+uPsZXuiq5dmO3fzH7qfp0kKTZeJJw/yMIryHJey3fLiTYeB6+jXUhlaUnj6c67ehDhPKbSyGaeB69iu4XvkBzjd/jvuvn0X0WncPkGYcCuMajXLgthM8/r2DxxixWRZCOIEbgOcO6/cBlwJ/OcFzj4ntsz0GV1YZHOgVRAyBQHJllcGALni+TgUgwymTKhhZBacCn1+o89g+lc6IYEmByfxck78dUAlGBacXGZxTar33DeBQ4Joag2tqhvpMafLgwR+xpusFJJJTA2dyc9XXcVisHKcmR+Zl0swoW/f8jOL8s3Co1k1YfayUZMzmtKqb2bn/AUypkZUxgxmVYzkv2pzs6NLkrZ46gnqYgMNDhxZicWYpVd6puWE9XszyYqRDRehDYatmlcU3b8fI3v5t/K3ld/TrfZyVdwnnFVxNV3BL0pyBcCNRrRuPy7oJTWtDnWzsa2K6N4/FWXGRuy3aSFss+SHoQXNCPNEnhWJPJfMyl7K97x0ABArn5l+dNOeV7n3ocmj9M2DEeKunjisKRs9zY1UyHW6+NeMiHmraQFCPcFHuTC7Km5rJuo8V0d6NCCfn8lPqWjAWzU6RRTYTidL0Lkr7rkRbRHtRdz2LftonUmiVzThxNDfUiqOMj4kQYhXQJqV8Rwhx7ihTfgG8KqV87bD+K4E3JiqcC2zBZ0xqApLvrtCoDQqKfZJCX7x/eZFBR0QwMyDxWPS3V5Ep+X+LkvOz3HrqyHwtPb27MKXOXqOdXf0bqfDN4Oy8S1GFdX4x23rX81bX3xPtjcE3ebH+Pi6p/BTxnFzW4D35q3i7ezWGjH/OAQNyDdAJEY114/Dagg9ATcX7KC++mJjWQ4avMtXm2BwnUkq+Uft3NvUlP7FTEHyleiXn5FSnyLIU4PMQW7USx4YdCE1Dnzcds6I41ValnAG9lx/v/RpRMwzAHxtqyXAEyMmaRzjSmpjn85TgdlrX1f/lrr388MCrCf/mDxQt5MaypWQ78/AoPiLmkIdLiee418knBZ+r+S/WdL1IR6yFxYGzqPInb+azR6lGle1Mz3vjgoxifjArPcKZAWQgA6koCHNI8JO5Fq3WpUcg0gcZBam2ZFKI9OwiNtCIL38JDvfgtdxMztsZVSX9oX04Bxpx+e0HIlOchqOM15/Asc8CrhJCXA54gCwhxO+llB8RQtwOFACfHuV1H2QCw7nAFnyOiM8JC/OTXbVL/FCSJtWJxsKUBm9v+U/au9dT64Idh9ZAnXBwYBcfnfYfKbVvPGmPNo7o29r8GPn97Syb/80UWDQxTPfP42uzf8bzB37KQM82KmPxzE2Z/mo7bOkwXM4sXE7rLfSklGjSwKWMfVswpcSQJk5laoudOwbaRog9ACaSP7ZsTi/BB5DF+WiXn5NqM04qdvdvTog9h3i6bSOtchahzBxOCb/LaW7Bolm3IoR1o+P/1LI5KZj9sbZtXF+yCLfq5cMV/87DDT8hbAxQ5qnmmtKp/fTbGTd9IQAAIABJREFUqbg4J39sEePCvJm82FXLnlAnAIszS1kRmNoil80x4vWgv2cJjjc3IWIaZkkB+lLrJTRWd/8dx9rfILQwZsEcYhf+p6Vz13TsuI/ufY8CIFQ3Zad/H2/ufMyyJZjZlSg9dXR7TBqyTOh/G1avp3DhrQQqLkmx5TYnwJ3Aexnd06cBuPt4Dyyl/CrwVYBBD58vDoo9NwGXABdIKZPCZIQQAWAlQ0mdJwRb8DkGYlqQ3Qd/T1//AQpylzG94n0IofJG53M83fIHNFPj/IKruaw4PcI7Wjvfor17PQAHDst19FbXi3yw4l9xKdZIZH1KYDl/abpvKJZfQrEGLR2v0zdwgEx/VUrtG0/KvTV8fM4PqT34CK2db5Hhq2B2dUqK5NlMMpv6mrn34Bu0xPpYnFnKbVUryXYmf4f/0bWX3za8TVCP8J6cam6ZdhbuI4hDJzP6EXKuGNKaIavHhDRBC4PLn2pLUk6JJ9mDLyZzWDsQAHoBNy95V3DF7CvI9lu7ipN52HfFRCYEoNNzz+PU7DPp1brId5dMvnGTjE91cu/sK9nW34pDUZhr8c9+TPpDKI1tyJwsZKF1QxkPx5hTgzGjEmIa+Czo2RXpxfHWLxBGfL2rtO/EsfER9DM+m2LDJgY92kP3/qGUKdKI0lX7CGWnfwdUJ7FVP0StfYmWugchkeNS0rnrQVvwmcK4b329KXrP2XcAd5As+jQAd4xXafbD+BXxiuRviXii979KKb81OPZe4O9SylHKBo0fU3O1Psms3/ZtuoKbAegMbsIwwviKzuF3dT9KzHm8+QHKvNUsDKxIlZmTRjQ2VI3BKWH4M1CX4rZUSFeBu5T/N/27PLr3+4S1bqpjkD24HzRN65UlV4TKrKqPMKtqQoVmm5MIzTS4a/8rdOvxb/K7fU38T+PbfKFqyOOjSwvxo4OvJ/JXrO7eR6Unm+tLpmYZ3gUZRcz05bMn1DFi7L2F80d5hfVRmjbhfO0exEB7/Mnu+V8Ff36qzUoZxZ5Krin5ePyhjoyR5V5GSzR5zobeJstv+q8tWsCP695ItK/In4NnmNDrUtxpIfYcQhGCUzLTN+RRaWjF+exrCCN+L9CXzkM/bUGKrZpEHI74Pwsi+poTYk+ir6eOcPd2Qm1vY+ghnN4CMkpW4vRO/XAvaUTiDzmGYerDkrC7/BjzrsKsf2jsOTZTEvetr98fvefsZ4knV64gHsZ193iKPVLK1cDqwZ/HvGhIKR8EHhyv846FNa9a40g01p0Qew7R1P4qZIxM7Lmnf0taCD7FeWeyc9/96EaI2VFY7wU5WJnyypKPWkrwAZideSqfqfoaazd/BSnjcb25gYUEMmek2DKb8eLd3ib+r2UTUWlwVcFczssdu8zyumA9j7ZuwZSSawrnc05O1eQZOgG0awMJsecQhwsh+8PdSclKR5szlVCE4K6Zl/JS1156tDB+1UlQj7Ikq4yF6biZMw2cr/43YjBURWnfiXPtb9HO/2qKDUstlxVfz7kFVxE1I9SGwvzn3heSxmvSIMH3pfmzKPdk8W5vMzW+XM4M2LnL0hnHO9sSYg+AunEn+qLZ4LJQIYtQJ0qwAbNgDjjSpyypzK1B+vIS9wGAruwMWt68NWle156HqTjrJ7gyjpb79uTG6SvGl7+UUMc7ib5A5ciQzsC0y+ne+6cjzrGZegyKO7ek2o7Jwlo78wnA4fDjdGSg6f2JPp+niCLfyKoM1f70qNTgcedx5uJ72N/wOGVS44KCs2gVYSq9Myj1VqXavAkhP3sR5yz5GU3tr+J1F1BedFGqTbIZJ1qifXxz7wsJQWPnQDt5Tv+oG/+6cA/f2vsSxmBQw479bRS6VjHbP3WfdhW7MilyZdAaG7rGLcxMfmI/y5ePW3EQHebVtihzaj/V96pOVqVZdZ0xCXcnLfIBRNe+FBlzcuFV/XhVP8sCcG3hfJ5s3wHA5fmzWZEm4seCjGIWZKShEDoGorsX5UAjMtOPWVMOinVzOI0gdphns2GCYQDWEHzU7U/hWPtrhDSRnixiF38bmZ8mD/dUJ7FLvoVj/UOI/laM6nPo7HlhxDRTHyBY9wwF8z6VAiPHl5Kl3yRY9wyxgXoyis7EX3jaiDl5sz+BK6OScNc2PDlzySq31/82Uw9b8DkKquJi/ozPsXn3vZhmDLcrlzk1NxHwT+e6sk/zdMvD6DLGefnXsDhwdqrNnTSy/NUsmj2k+qdDitOsjOlkZYzt+WFVNvY1cSDczSkZxTRGe+nTo5yZPY0ci1Qn2dDbOMJ7ZW2wblTBZ31vQ0LsAZDAumDDlBZ8FCH4z5rz+WX9WuojPZweqODG0qVJczIdbr5Zcz73N66nWwtzfu50WyyxAKYeorfxJUxtgNzsEjw9Q4mszdJTgXieg77GlwDILLtgqIpJGnJz+encULIYSVwwtEk/lMY2nE+/mqjWZFSVoV16VoqtmjyM+dNRXh3yiDBrysFrjZyNaGEc6/8HMbgeiGlBzPW/QVw6lMPViPWih9txZVVbMlm7zKlCu+j2oY7VL6bOmElAcXjIqbn2iHOEEGSVX2QLPTZTGlvwOQbKiy6kMPd0QuFmsjJqUJT4Qm925oUUec6k2pdLhoXcPoN6hOc7dhM2NcrdAfaFu6jwZHNB7vQpX53nROnXo/ytfSftWj8lriyaor0UuTO4smAuftV19ANMMe5vfJs/t24d0f9Q0wbumX0FZZ5ACqwaX8o9IzewlaP0xeeOfL8VFvgdTPfl8cPZR3ZTXpJVxpIsC5YjlRIGwuDzpNWTemnq1L/5BWJ9+wHo9nmo9s3F29OGUb4U/bRPoEd7qHvtsxjRLgB69v+VynN+ieqyXpW6Y8VjCz1xwhHUbXsRkRjG7GnIgvRI3qtu3p1Umls90Ije04fMzkyhVROLaNuJ0n0Qs3QRxrzpSL8Xpa4ZmRPAmGuhx32xAYQeRSKpC5j0eiQYm8jY8D2KF3+Z4MFn6Njxa6Sp4fSVUrb8ezh9U9vT9Wjk1FxH25Z7kvoURwaBaVekyCIbG5vjwRZ8jpHhpZj79Shf3fM8teG4C7wDwReqzjli3o+pQsTUuWXnU7TE+kaMbeht5Gs156XAqpMDKSVfq/37qLlL1vTUc++cVSmwauIIGRqPt20fdazPiPJUx04+Xb58kq0afxZmFnNN4TyebNuBieTs7CrOH+O7fFpWOZfnz+a5jt1IJOflTp/yOXzSGdHdi/P5N1B6+pA+D9r5yzHLi1Jt1qQQ6tiQEHsATCNCZ9V0Ci79YaKvb/9zCbEHQI900Ne0muyqqybTVJuTDcPA9djLKL3xMFB1+15i15yfVhWb0gXHht/j2PgIAFKoaBd+A3Pa6ZjTSlNs2QTgz8csPoVgz6a42DNIf/Mr9BWeTseO3yDNeFJjLdRE567fUbz4y6mydlIIVF6KK3MaobZ1mHoYh7eAzNKVODzpm9DfxmYqYgs+x8ET7dsTYg+AjuSndW9xZva0KVum+BBvB+tHFXsAXu85QJcWItfpm2SrTg72hrvGTFS7K9TOvlAXNT7rLHglckRJ3uHopnXKV3+6fDnXFy9Cl+YR/76FEPxb5ZncULIEkyPPtTn5cbzxLkpP/HonQhGcq98m+uErQIgUWzYZjPIeDwtREIzi8WTBMIYTQtMRwT5kThao6eEBqzS0JsQeAGGaqDv3oaeB4GMsnIVS3zIU0lXhR/os+p3Qwqhb4mWrJZJ+Z4zQxp/i9N2GL++UFBs3McQu+DqRt+6AgWTP5mjfPqQZS+rTQs2kA96cuXhz5qbaDBsbmxNgaqsTKaIx0juiL2xqBPUIha6MFFg0friOIFgpCBxpvNg/UsiWAPwWc/X3qy4uzpvJc527R4y5FQeX589OgVUTR5bj2PMQZDutkbNA3boHdfMeUBX0JfMwZ6ZHEtpDKF3J13LRH4KYBm7rhWcejq9gCe7ALKLB+PdbcWYQmJbspZhZdh7d+/+CHm4FwOEtJrP03Mk29aRFOdiE86W1iJiG9LqJXXo2sigv1WZNOFKGgSAwLJzVaa3731iYZYXErrsYpXYP6sGHUFv3ojxyH/rSj2IseG+qzRtfTB1MHRPJ3lyDiBOgDdZ8EV/BMkpP+7b18ti4M/Et+Vd4/fMwWJVVKE6yyi8j1PY2sf66xNSMkvTJ22ljYzXWP7yiFPgKUA40AHcu+9CacSnLLoRQgfVAo5RylRDifmAZ8e3ibuBGKWW/EOILwE2ADrQDn5BSHhwPG0bYJI/wBP9kJhgMpszw17sP8N39/0jqq/Hk8PN516TIovHDkCZf3P0MOwfaR4xdUzjPEiE8J8JP697kmY5dI/qvyJ/D5yvPSIFFE4shTV7rPsCBcDfzMwppivbRb0RZmVMzaj6btMA0LZHrRWloxfXUK4m2FILYdRcjc9Pnc3WsfhvHzkNhTQNI/xakP4RZugR92UfhnxABpyKmEaO/+TVMrZ+MkrNxeEaKFYbWT3/zqwBklKxEdfon1KZAIHBU96pU3v8TSIn7908hBsKJLrMoj9h7L0ihUeOHaUSI9dfjyqhEUeM5CqN9B3Dufgnv5icQ0gAzH/QLkL5sotdeCBlT3+PRNGIEDzxBtHcvvvwlSCDc8S7urBoCVVclfheOtx/AseXPiddJoRC97n7IKEyR5ROD85Uf0tP0Ek1ZIz16S0//Hv6CpaO8auoz0P4OPfsfAyHIqf4XfPmnooXb6Nr9e2KhRjKKzyK76r2ItPAGtbGZHI7l/j8erH94xU3A7cTFnkM0AHcs+9Ca+0/0+INCzjIga1DwyZJS9g6O/Qhok1LeKYQ4D1grpQwJIT4LnCul/MCJnn9Um2zB5/h4tmMXf2zeRMjUmO8v4vOVZ5DvmtiF8GShmQbrgvWETI3p3lx2DrRT7sketWpROrJzoJ22WD+zffnsCnVQ5MqY0lWabI4NEezD+fI6lNZOzIJctPNPj4dxTFEcazbj2LgzqU87azHGKTMTbaVpE0rLZsz8WZiVFhR7NQ3Hmi3Q0AjG46ixZsRgqJM+dxX6GZ9NsYHpx8kk+IiWrTjf+gWitxlz2hloZ30eDoVx6gbu+/6SFBgnPW6iN149GaZNKAPt79Cy4XuYej+KM5OiRV+kq/Zhoj27QEJ+SFDSHw9fMyouRTv3M5bx8Gne8N2EwHk4GcXnULL0GwA4X/w2at2apPHYJd/BLFs84TZOKqZO97rv0dH5xoih4lO/QmZZ+uZ1tLGxGV8mQ/AZ9OxZS7LYc4gGYPmJePoIIcqBh4DvAl+QUq4aNiaAXwAHpJR3Hfa6xcDPpJQTUvbRDuk6Ti7Ln81lFgtpOYRTUTlrWCLaGp/1XdT/Geb4C5gzKPAUua1bmWM0RG8/oqMHszg/XtXIakSCoLpglJLzztXrUVrjubuU9i6c/1hH7NoLJ9vCccPMH1mJbHifuu1JnGt/nWjrC9+Pvuxjk2LbZCEdDppy1xHsfQKkiQBK+xRywwpq/Tpb8ElnDA3tlf+i0dWHEZDkNP+D7A3Z6Ms/FR93qJiVJah1zUQdPTRnv03UH8a/s4u8WTcgpnA+v/ZtP8fU4zl6TK2Pts33YMR64oMCOvySnLDEYwhQ+ywj9ph6iP7m18cc7295HUMbQHX6MSuXJwk+0pOFWWTBPCeKA/8pN9Hx6joYTFgMoLoC+ApPT6FhNjY2NsfFoTCu0SgHbgNuOYHj3zt4jKQNohDiAeByYDvwH6O87pPAsydw3iMydVckNilF9A7Ey3IGMuJVbdLMrVW0dyGCA5jlheBxp9qcSUHdvhfHaxsQUiJVBe3iszCnWaQkqR7FufoHqHVvIVU3+qkfxFj0/qQpoq3riO2phjm9Ar2lA3X7PlAEwbkKfd1/xaVNI6v8Qhxb/wpATJF0eyXsfxTf3Etw+q3j6TfQtobggcfiDQESaMw0yYgK1Oz0ymdkk4zZuYuDvl7MwejNZqeJ2rYGL59KzNEuWI65bgv7g3ejiR4wIbb3jwjFSd6sj6TI8hNHC7UktQ1tZCGHmCMu+BjTzpwssyYcoThRHB5MPTTquOLwIpS4uGXMuhi0EGrtP5C+XPQlH7FsCKjLX0rlWT+hc/f/EhtowBOYRd6sGyY8vNPGxsZmAhhL7DlExfEeWAixini41jtCiHOHj0kpPz6Y2+enwAeAB4a97iPEQ8BWHu+5j4Yt+BwPhoFjzWbU/Y2YWRnoZy5C5uek2qqJxxxMYNfSievpVxFGPKZbn1uDvnJZKi2bWPQooqcOGagApwfHmxtxbI4nOpUuJ7ErVyILLF6dxDRxrN2CkBKU3QhRj/PVTUSv+yJYIJePuuMp1Lq3ABBGFN59kF63hpo3B1/+YrRQM/0l9fjaHPhi8RwNsmSKh/EJgX72EvQVC+ltfJHWrffA4EP8UOe7TBMKuiKpzTMwFAAT9Y1/o3Llb3C4rXG9iwZrR3YKCAXy8C6/efINsjlpCOmdCbHnEL0ehSTfP7eL0Kn5aK/2JM0baFs7pQWfjOKzksKavDkLCHdtSrRVHHiz56DNuAhz+rkpsHBiEIqTvNkfp33bLwCJUJxICUgNEOTNuhFlWPEGY/41GPOnfu7GY8GdVUPpsttTbYaNjY3NidJwlPH6Ezj2WcBVQojLAQ+QJYT4vZTyIwBSSkMI8UfiHkAPAAghLgS+DqyUUkZP4NxHxBZ8jgPHhh04tuwB+lDDz6I8+T/op16CceoHQbFmWVbH+gdRtz8JKEj3UoQxPTGm7tiHvnSeJRI2Ho5o2Yrrpe8gon1Ilx9txS2oWxqHxmMajg070C6ZkJDLlBPt3UekeweerNm4Yxoo28HxNlFV0u+ow/PCV1Cv/GWqzTxhRM9Q5Y2wQ7Ivx8Dc+zvYC56ceUR6doIwoQgK+5aS77/EOiKnw0FP/VNJXf1NrxBd8CkGNv92UOyJY2i99DWtJqfaGtVofHmn0rXn98mdQsVx2U+QHmuIWjbHhyurekSfs/LckX3eQoTqRRpDyZtdmdMm0rQJp2jhrTg8BUR6duLNnU/uzA/T3/ImvfXPo7qyyJ1xPUZWTarNnBCyq67CV7CMWN9+PDnzEUIQ7tqKK7Mal7801ebZ2NjY2JwYdwLvZewcPncf74GllF8Fvgow6OHzReAGIcQMKWXtYA6fq4Cdg3MWA78GLpVSth3veY8FW/AZAz3SSffeP6GF28gsXUlm6blooWa69z6KbNlDjqeSLONdEEEE4Nz4MAiBsfhDqTb9hDGNGH1Nqwl3bsSVWU2OUoBj86OJcaG/DsIHMh7OIwBhSqZm+u/RCXdto3PPw2jtG1H9OrmqQl6oH+c7v0XIy5InR7XRDzLFCdY9Q9uWHyfaJdVXkV+3jx63SX3AjH/w7CN/233kzL8pZXaOB2bZMtjzIgAdPjPpyX6ke3vS3PbAVjIv/iaKah33faEcVoZcqJgzL8aQPXDg/5KGDlWpsQLevFMoWPBvdO56AFMP43DnUbjw33HYYk/a48qoJG/OJ+ja/QekGcVXeDrZ0983Yp7i8FK08Bbatv4UU+vHHZhF/uwbJ9/gcURx+CiY96mkvqyy88kqOz9FFk0uLn9pkriTUWzNBzo2NjY26cayD61pWv/wijuAOxi9Ste4lGYfhgAeEkJkDf68CTiUIPIHQAbw6GDFvzop5VXjfP64EXaVrpFIaXLwlU+hDQx5dRUu/A+6dj+EHulI9FV1K2TGhnaGZt4MYlf/mKmMlCb1b36BaM+ORJ+qeJjZquE0h/L0SH0pwlwAgFFVinbp2ZNu60ShhVo4+MrNSDOW1F/cp5AfdiBzbkFp6Uz0xy5cgTnDevk+9r14PUZ0KE+N6s5lTrCSWsdGosOkYqF6mH7xX6Z0klIAddsTqLufp97VQS/BsScKhZqL/myp/AUDbW/TtP4OkDoAOTXXkT/3JgxtgPo3/h/aQNwD1umvoPLsn6A4rOfNZ3NycDJV6YJ4Il/TiB41jNE0YhixIE7vFA/1tLGxsbGxSQGTVZYdEtW6biOes6ceuHsCxJ6Thqm9Q5sgosHdSWIPQPDgk0liD0CPBzKHaQIy+2h5oE5+wp2bk8QeAMOM0ONRKAgNfQ+1lVeidLuRgQyMWVPbff1wBtrWjhB7AIIek9zCM9HOfg/qtlpEsB+zphyz0iKJiw9DGtERbe28z2C+8TnAHD6AHKxwNJUx5l+NMf9qMjvepXfd10DG36PDW4Qebk3Myyq70FJiD4C/8DSqzr2fUPs7uDKn4c2Ni7mq00/lOT9noDVejcZftMJSnk02NkdDcfiOSeBUVBeKLfbY2NjY2Nic9AyKOydSjWtKYQs+o6C6cwGF4Ztah6eAaHBP0jylZCkyvBOhhTGzp6Etnfoli6U0Ru3XK09DNtQjhYKx8P2Ys08bvuW3FA5v0ej9GeVo5/w7OJ0Yiy1YfvUwsquupqv24aS2zK0mMPfjdOy6P9GfVXFpUiLLqY4vfzEVZ95LX/OrODz5BCouJdy1lVDHO7gza8gsuyDVJk4ITl8xgWlXjOhX/j97dx5nV10efvzzzEz2ZcJOkgkkQAwiIioC7iJuqBX8uWFdUMGWqlSq/VHUVmLtQlOr0l9brRUVWlRcUKzFXRS1NVqQHSQgSyZkISSZLCQkM/P8/jhnws1khlnunZnMmc/79bqvOef7/d5znnvnJufMc79L81RmzXvB6AckSZIkqS4O6erH+js/z8Z7rgSSlqkH0fbMv2fDPV9h8wPXADBpRhttJ/89Lc3Tie0byNnVmMwvu7u4/+fvYteW+3aXNbXM4LDnfZpJ0w4eu8BGUWY3a29cxpYHr91d1jLtYOaf+LdMnjn+e3ENxZbVP2PHxtuYut+TmDX3ubvLt61dziMP/4Ypsxcza/4pRDQ9zlEkaXD2tSFdkiRp5I3mkK6JxoTP49i57UE6dzzEtP2OIZomFWVbH6BrZwdT9zuGiGquyNXd+Qib7vs22zfcxOSZh7PfEf+HlqkHjnVYo27ntgfp2rmRaJrMlFlHEBVdgU2S9hUmfCRJmnhM+IwcEz6SJGmfYMJHkqSJx4TPyHEchiRJkiRJUsU4abMkSZIkSaq8K7510jzgQqANaAcuftOrlte1LHtELAGurCk6AvhwZn6yrH8/8DHgoMxcHxGtwH8Ah1HkZD6WmZ+vJ4b+2MNHkiRJkiRV2hXfOukcYDlwHvDq8ufyK7510tn1HDczf5uZx2fm8cDTgUeAbwBExALgJcADNU95N3B7Zj4FeAHwDxExIssem/CRJEmSJEmVVfbsuYiiZ0+tNmBpWd8IpwL3ZOb95f4ngAuA2jkIE5gVEQHMBDYAnQ06/x5M+EiSJEmSpCrrGcbVlzaKpEwjnAl8CSAiTgdWZeZNvdr8E/BE4EHgFuC9mdndoPPvwYSPJEmSJEmqsv6SPT0W1HuCcljWq4CvRsR04IPAh/to+lLgRmAecDzwTxExu97z98WEjyRJkiRJqrL2AepXNuAcpwE3ZOZa4EhgEXBTRNxHkXC6ISIOBd4OXJWFu4F7gaMbcP69mPCRJEmSJElVdjH9J33agWUNOMcbKYdzZeYtmXlwZi7MzIXlOZ6WmWsoJnA+FSAiDgGWAL9rwPn3YsJHkiRJkiRVVrn0+lL2Tvq0A0sbsDT7DODFwFWDaP5R4FkRcQvwI+DPMnN9PefvN67MHLjVPqijo2N8Bi5JkvrU2toaA7Xx+i9JUrUM5vrfKOVqXBdQzNmzElhWb7JnX2bCR5Ik7RNM+EiSNPGMZsJnonFIlyRJkiRJUsWY8JEkSfuEjo6OtAePJEkTi9f/kWPCR5IkSZIkqWJM+EiSJEmSJFXMuJ20WZIkSZIkSX1rGesAJEmSJEmSRtqZPzlpHnAh0Aa0Axd/+QX1LcseEUuAK2uKjgA+DFwLfBqYCdwHvCkzN0fEQuAO4Ldl+19m5rn1xNBvbPbwkSRJkiRJVXbmT046B7iIItnTox1Y+uUXLL+0EeeIiGZgFXAS8DXgTzPzpxHxDmBRZv5FmfD5dmYe24hzPh7n8JEkSZIkSZVV9uzpneyh3F9a1jfCqcA9mXk/8ATgurL8B8BrGnSOQTPhI0mSJEmSqqxnGFdf2oALGnSeM4Evldu3AaeX268DFtS0WxQRv4mIn0bEcxt07r2Y8JEkSZIkSVXWX7Knx4IB6gcUEZOBVwFfLYveAbwrIq4HZgE7y/LVwGGZ+VTgfcAXI2J2vefvi5M2S5IkSZKkKmsfoH5lA85xGnBDZq4FyMw7gZcARMQTgFeU5Y8Cj5bb10fEPRTDv/63ATHswR4+kiRJkiSpyi6m/6RPO7CsAed4I48N5yIiDi5/NgF/TrFiFxFxUDm5MxFxBLAY+F0Dzr8XEz6SJEmSJKmyyqXXl7J30qdnla56l2afAbwYuKqm+I0RcRdwJ/Ag8Pmy/HnAzRFxI8VKXudm5oZ6zt9vXC7LLkmSJEmSqq5cjesCijl7VgLL6k327MtM+EgacxGxEPhJZi7sp/4LQHtm/nk/9VuB4zJzRLpC7qsi4hzgzZn5grGORZKkengvIEmN55AuScMSEWdFxPURsTki2iNiWUS01NT/JCJ2RMTW8vHbkYolM2eO5xu8iPhCROysea+2RsQbxjouSZIej/cCjRER36l5j3b1uif49FjHJ2n8MuEjabimA+cDBwInAacCf9qrzXvKG7CZmblktAOsV+1N6yhYVvNezczMK0fx3JIkDYf3Ag2Qmaf1vEfAFex5T3DuWMQkqRpM+EgNFBH3RcQHIuL2iNgYEZ+PiKll3X4R8e2IeKis+3ZEtNU8920R8buI2BIR90bEm8ryoyLipxHRERHrI+LKmuccHRE/iIgNEfHbiHh9Td3Lyzi2RMSqiOh9A1aXzPxUZv4sM3dm5iqKG5RnN/IcvRxYvtYt5ftxeE9FRGREHFVufyEi/jki/qtsuzwijqxpe0lErCy/jbw+Ip5bU7c0Ir4in55oAAAgAElEQVQWEf8REZuBCyPikYg4oKbN08rf4aQRfK27RcSf13wubouIV/XTriki/jEi1pWflZsj4piybmpEfLx83Wsj4l96PpeSpMbyXsB7gUaLiBeVn6sPRsQa4N8i4pyI+ElNm5byPVhY7nvtl2TCRxoBbwJeChwJPIFiCT4o/r19HjgcOAzYDvwT7J7V/R+B0zJzFvAs4MbyeR8Fvg/sB7QB/6/mOT8AvggcDJwJ/EvPH/nApcAflsc7FvhxX8FGxHMiYtPjPJ4zyNf9POC2XmV/W96Y/iIiXjDI4/TnTRTvxYEU780Vj9P2TOAjFO/Z3cBf19T9Gjge2J/ivftqrxug0ylmy58D/APwE+D1NfVvAb6cmbt6nzQifn+A9/KwIb3iwl0UN8+t5ev4YkQc0ke704CTKZZ13I/iPeiZ7f/vgUXAcWX9QuBDw4hFkjQ43gs8xnuB+u8FoPi9z6T43LxrEO299kuCzPThw0eDHsB9FMvq9ey/HLinn7bHAxvL7RnAJuA1wLRe7S4HPgO09Sp/A/CzXmX/ClxUbj8A/CEwexRe9zsoljQ8sKbsJGAWMAU4C9gCHNnP8xcC9z3O8b9AcWPVsz8T6AIWlPsJHFXT9rO9fgd3Ps6xNwJPKbeXAtf18T7/otxuBtYAJzb4/fsCsKP8DGwC1j9O21uBV5Tb51BMcAnwEoolH08CmmraN5XHPrym7LnAipH+XPjw4cPHRHx4L+C9QJ3v4xeAv+pV9qLyWj65pmz3PUC531K+Bwu99vvw4aPnYQ8fqfFW1mzfD8wDiIjpEfGvEXF/2UX4OmBORDRn5jaKm4lzgdVlF+Sjy2NcAATwqyiG9LyjLD8cOKn2WyOKb74OLetfQ3GDc3/Z7fmZI/FiI+IM4G8pvpFc31Oemcszc0tmPpqZlwG/KOMZrt3va2Zupei9Mq+ftmtqth+huCnsifdPI+KOslv8JoqeMwf2dZ7S1cAxEbEIeDHQkZm/Gv7L6NfHMnNO+dgdTxTd+2+q+R0f3SteADLz+8CngU8BayPi0xExi+LzMAWoPca3Kb4JliSNDO8F8F6gwdZm5s5BtvXaL/XjWdd+ct6zrv3kPz7r2k9eVf7s7/+QIYmIPyn/f741Ir5UDqtcFMWQ0rsj4sqImFy2nVLu313WL2xEDH0x4SM13oKa7cOAB8vt9wNLgJMyczZFt2cobuDIzO9l5ouBuRQ9Nf6tLF+Tme/MzHkU39L9SxRj1FcCP61JEszJYnK/Pyqf9+vMPJ3i4v5N4Ct9BRsRz409V4fq/XhuX88rn/uyMs7fy8xbBnhfsue1DtPu9zUiZlJ0w36w/+Z7K1/LBRTdsvfLzDlAR6+4svY5mbmD4r17M0UX7n9/nOO/aYD3ckjduCPiCIoEzh8BB5Tx3kk/72NmfjIzn0bRbf8Y4H3AWmAnsKTmc9Kama1DiUWSNCTeC/TNe4HhD+nKXvvbKCbN7nFozbbXfqkPz7r2k+cAy4HzgFeXP5c/69pPnl3PcSNiPvDHwAmZeSxFT8Azgb8DPpGZR1H0JOw5z9kUvTuPAj5RthsRJnykxnt3RLRFxP4UY6V7JlacRTFWf1NZd1HPEyLikIg4PYqx+I8CW4Husu518diEjhspLvjdFN/UPCEi3hIRk8rHMyLiiRExubzhaM1ifPnmnuP1lsVkizMf5/Gzvp4XES+kGDv/mt7fckXEnIh4aZnZboli0snnAd8d6ptZ4+VRzDEwmWL8/i8zs/c3cAOZBXQCDwEtEfFhYPYgnnc58DbgVTzOTV5mXjHAe/nAEOOdSfH7fgiIiHgnRQ+fvUTEieWjheImcCfQnZldwGeBT0bEQVFoi4iXDDEWSdLgeS/gvUCj7gX6cxNwXEQ8OSKmUfNZ8tov7a3syXMRxXxYtdqApQ3o6dMCTCvvxacDq4EXUswHBnAZcEa5fXq5T1l/akTUkwzvlwkfqfG+SDGx4u+Ae4C/Kss/CUwD1gO/ZM8bniaK3hgPUnRPfj5Frw6AZwDLI2Ir8C3gvZn5u8zcQjFvy5nl89ZQZIenlM97C3BfFF3Gz6Xo4t1If0HRBfqamm+tvlPWTaJ43Q+Vr/c84IzMvKuO832R4j/pDcDTKb5lG6rvUbzvd1F0sd/B3t2295KZv6C4Sb4hM+8fxnmHJTNvppiY81cUF40lFN9K9GUOxeScmyjmj1gNfLysez/F6/0VxbeY36eYwFGSNDK8F/BeYERl5u3A31BMKP1biuGBtbz2S3u6kL2TPT3aKHr+DUsWqxR+jGLetNUU/+auBzZlZmfZrB2YX27Pp/x/p6zvAA5gBERm796BkoYrIu4DzsnMH451LONJFONWf5KZC8c2kv5FxI+BL2bmZ8c6FknSvst7geHxXkDSSHrWtZ+8imIYV3+u+u9Tzn/NcI4dEfsBX6eYh20T8FWKnjtLy2FbRMQC4DuZeWxE3Aq8LDPby7p7KIb6ru/zBHWwh48kDSAingE8jce65EuSpAnEewFp3GsfoH6ow0NrvQi4NzMfKofQXgU8m2JS/payTRuwqtxeRTknWVnfCjxcx/n7ZcJH0r5gE0U3931ORFwG/BA4v+w6L0mSGs97AUkj6WL6T/q0A8vqOPYDwMlRrMQYwKnA7cC1wGvLNmdRrPgHxdDcs8rt1wI/zhEaeuWQLkmSJEmSVGnlalxL2XMun3Zg6X+fcv6l9Rw7Ij5CMaSrE/gNcA7FXD1fplhR8DfAmzPz0YiYSjH5+1Mp5iQ7MzN/V8/5+41rvCZ8Ojo6dgfe2to6IjNaS5KkfYvXf0mSNFzlalwXUAypWgks++9Tzn9wbKMaOZVI+EiSpPFvMAkcr/+SJFWLX+CMHOfwkSRJkiRJqhgTPpIkSZIkSRVjwkeSJEmSJKliTPhIkiRJkiRVjAkfSZIkSZKkimkZ6wAkSZIkSZJG2nN++J/zgAuBNqAduPjnL/q9upZlj4jPAa8E1mXmsb3q3g98DDgoM9dHRCvwH8BhFPmYj2Xm58u23wVOBn6ema+sJ6Ye9vCRJEmSJEmV9pwf/uc5wHLgPODV5c/lz/nhf55d56G/ALysd2FELABeAjxQU/xu4PbMfArwAuAfImJyWff3wFvqjGUPJnwkSZIkSVJllT17LqLo2VOrDVha1g9LZl4HbOij6hPABUDWNgdmRUQAM8vndZbH+RGwZbhx9MWEjyRJkiRJqrKeYVx9aaNIzDRMRJwOrMrMm3pV/RPwROBB4BbgvZnZ3chz13IOH0mSJEmSVGX9JXt6LGjUiSJiOvBBiuFcvb0UuBF4IXAk8IOI+Flmbm7U+WvZw0eSJEmSJFVZ+wD1Kxt4riOBRcBNEXEfRbLphog4FHg7cFUW7gbuBY5u4Ln3YMJHkiRJkiRV2cX0n/RpB5Y16kSZeUtmHpyZCzNzYXn8p2XmGooJnE8FiIhDgCXA7xp17t5M+EiSJEmSpMoql15fyt5Jn3ZgaT1Ls0fEl4D/AZZERHtEPN6qXx8FnhURtwA/Av4sM9eXx/kZ8FXg1PI4Lx1uTLtjy8yBW+2DOjo6xmfgkiSpT62trTFQG6//kiRVy2Cu/41SrsZ1AcWcPSuBZfUke/Z1JnwkSdI+wYSPJEkTz2gmfCaaURvSFRFzIuJrEXFnRNwREc+MiP0j4gcRsaL8uV/ZNiLiHyPi7oi4OSKeNlpxSpIkSZIkjXejOYfPJcB3M/No4CnAHcCFwI8yczHF+LULy7anAYvLxx8AnxrFOCVJkiRJksa1UUn4REQr8DzgUoDM3JmZm4DTgcvKZpcBZ5TbpwOXl0uV/RKYExFzRyNWSZIkSZKk8a5llM6zCHgI+HxEPAW4HngvcEhmri7brAEOKbfnU0yg1KO9LFtNH1asWDESMUuSpFF0wgknDKm9139Jksa/oV7/NXijlfBpAZ4GnJeZyyPiEh4bvgVAZmZEDGsixsWLFzcgREmSNJ54/ZckSerfaCV82oH2zFxe7n+NIuGzNiLmZubqcsjWurJ+FcUyaT3ayjJJkiRJkqQhe973bpxHkYtoo8hTXHzdS4+va1n2iPgc8EpgXWYeW5YtBd5JMdIJ4IOZeU1EvBi4GJgM7AT+b2b+uHzOG4EPAgk8CLw5M9fXE9uozOGTmWuAlRGxpCw6Fbgd+BZwVll2FnB1uf0t4K3lal0nAx01Q78kSZIkSZIG7Xnfu/EcYDlwHvDq8ufy533vxrPrPPQXgJf1Uf6JzDy+fFxTlq0Hfi8zn0yRA/l3gIhooVjo6pTMPA64GXhPnXGN6ipd5wFXRMTNwPHA31Bktl4cESuAF5X7ANcAvwPuBv4NeNcoxilJkiRJkiqi7NlzEUXPnlptwNKyflgy8zpgwyDb/iYze3oU3QZMi4gpQJSPGRERwGyKXj51Ga0hXWTmjUBfszGd2kfbBN494kFJkiRJkqSq6xnG1Zc24ALg/Aaf8z0R8Vbgf4H3Z+bGXvWvAW7IzEcBIuKPgFuAbcAKGpATGc0ePpIkSZIkSaOtv2RPjwUD1A/Vp4AjKUY3rQb+obYyIp4E/B3wh+X+JOCPgKcC8yiGdH2g3iBM+EiSJEmSpCprH6B+ZSNPlplrM7MrM7sppqk5sacuItqAbwBvzcx7yuLjy+fdU454+grwrHrjMOEjSZIkSZKq7GL6T/q0A8saebJyFfIerwZuLcvnAP8FXJiZv6hpswo4JiIOKvdfDNxRbxwmfCRJkiRJUmWVS68vZe+kTzuwtJ6l2SPiS8D/AEsioj0izgaWRcQt5aJVpwB/UjZ/D3AU8OGIuLF8HFxO5PwR4LpeC13VJYreQuNPR0fH+AxckiT1qbW1NQZq4/VfkqRqGcz1v1HK1bguoJizZyWwrJ5kz77OhI8kSdonmPCRJGniGc2Ez0TjkC5JkiRJkqSKMeEjSZIkSZJUMSZ8JEmSJEmSKsaEjyRJkiRJUsWY8JEkSZIkSaqYlrEOQJIkSZIkaaT9/tXb5wEXAm1AO3DxF0+fVtey7BHxOeCVwLrMPLYsWwq8E3iobPbBzLwmIk4EPtPzVGBpZn4jIqYC1wFTKPI0X8vMi+qJC1yWXZIk7SNcll2SpIlntJZl//2rt58DXESR7OnRDiz94unTLh3ucSPiecBW4PJeCZ+tmfmxXm2nAzszszMi5gI3AfOALmBGZm6NiEnAz4H3ZuYvhxsXOKRLkiRJkiRVWNmzp3eyh3J/aVk/LJl5HbBhkG0fyczOcncqkGV5ZubWsnxS+aj7Sy4TPpIkSZIkqcp6hnH1pQ24YATO+Z6IuDkiPhcR+/UURsRJEXEbcAtwbk8CKCKaI+JGYB3wg8xcXm8AJnwkSZIkSVKV9Zfs6bGgwef7FHAkcDywGviHnorMXJ6ZTwKeAXygnL+HzOzKzOPLWE+MiGPrDcKEjyRJkiRJqrL2AepXNvJkmbm2TOB0A/8GnNhHmzso5v45tlf5JuBa4GX1xmHCR5IkSZIkVdnF9J/0aQeWNfJk5YTMPV4N3FqWL4qIlnL7cOBo4L6IOCgi5pTl04AXA3fWG4cJH0mSJEmSVFnl0utL2Tvp07NK17CXZo+ILwH/AyyJiPaIOBtYFhG3RMTNwCnAn5TNnwPcVM7V8w3gXZm5HpgLXFu2/zXFHD7fHm5Mu2NzWXZJkrQvcFl2SZImntFalh12r9Z1AcWcPSuBZfUke/Z1JnwkSdI+wYSPJEkTz2gmfCYah3RJkiRJkiRVjAkfSZIkSZKkijHhI0mSJEmSVDEmfCRJkiRJkirGhI8kSZIkSVLFtIx1AJIkSZIkSSPt6ku3zwMuBNqAduDi08+ub1n2iFgAXA4cAiTwmcy8JCL+Hvg9YCdwD/D2zNxUPuc44F+B2UA38IzM3BERTwe+AEwDrgHem3UsrW4PH0mSJEmSVGlXX7r9HGA5cB7w6vLn8qsv3X52nYfuBN6fmccAJwPvjohjgB8Ax2bmccBdwAcAIqIF+A/g3Mx8EvACYFd5rE8B7wQWl4+X1ROYCR9JkiRJklRZZc+eiyh69tRqA5aW9cOSmasz84ZyewtwBzA/M7+fmZ1ls1/WnPslwM2ZeVP5nIczsysi5gKzM/OXZa+ey4EzhhsXmPCRJEmSJEnV1jOMqy9twAWNOElELASeStGTqNY7gO+U208AMiK+FxE3RETPuedTDDPr0V6WDZtz+EiSJEmSpCrrL9nTY0G9J4iImcDXgfMzc3NN+Ycohn1dURa1AM8BngE8AvwoIq4HOuqNoTd7+EiSJEmSpCprH6B+ZT0Hj4hJFMmeKzLzqprytwGvBN5UM/lyO3BdZq7PzEcoJmd+GrCKPRNTbWXZsJnwkSRJkiRJVXYx/Sd92oFlwz1wRARwKXBHZn68pvxlFEPFXlUmdnp8D3hyREwvJ3B+PnB7Zq4GNkfEyeUx3wpcPdy4wISPJEmSJEmqsHLp9aXsnfRpB5bWuTT7s4G3AC+MiBvLx8uBfwJmAT8oyz4NkJkbgY8DvwZuBG7IzP8qj/Uu4LPA3RRLuX+HOkQdS7qPqY6OjvEZuCRJ6lNra2sM1MbrvyRJ1TKY63+jlKtxXUAxZ89KYFmdyZ59mgkfSZK0TzDhI0nSxDOaCZ+JxiFdkiRJkiRJFWPCR5IkSZIkqWJM+EiSJEmSJFWMCR9JkiRJkqSKMeEjSZIkSZJUMS2jdaKIuA/YAnQBnZl5QkTsD1wJLATuA16fmRsjIoBLgJcDjwBvy8wbRitWSZIkSZJULQ99ZPs84EKgDWgHLj7oovqWZY+IBcDlwCFAAp/JzEsi4qPA6UA3sI4ir/Fgf/mOiDgF+ETNoY8GzszMbw47ttFalr1M+JyQmetrypYBGzLz4oi4ENgvM/8sIl4OnEfxBpwEXJKZJ9Uez2VZJUmqFpdllyRp4hmtZdkf+sj2c4CLKJI9PdqBpQddNO3S4R43IuYCc8ukzSzgeuAMoD0zN5dt/hg4JjPPHUy+o+wcczfQlpmPDDe2sR7SdTpwWbl9GcWb0lN+eRZ+Ccwp30RJkiRJkqRBK3v29E72UO4vLeuHJTNX94xIyswtwB3A/J5kT2kGRe8fGFy+47XAd+pJ9sAoDumieHHfj4gE/jUzPwMckpmry/o1FF2gAOYDK2ue216WraYPK1asGJmIJUnSqDnhhBOG1N7rvyRJ499Qr//D1DOMqy9twAXA+fWeJCIWAk8Flpf7fw28FegATimbDSbfcSbw8XrjGc2Ez3Myc1VEHAz8ICLurK3MzCyTQUO2ePHihgQoSZLGD6//kiRpkPpL9vRYUO8JImIm8HXg/J7ePZn5IeBDEfEB4D0UvYwGOs5c4MnA9+qNadSGdGXmqvLnOuAbwInA2p6uS+XPdWXzVez5hreVZZIkSZIkSUPRPkD9ygHqH1dETKJI9lyRmVf10eQK4DXl9kD5jtcD38jMXfXEBKOU8ImIGeXkRUTEDOAlwK3At4CzymZnAVeX298C3hqFk4GOmqFfkiRJkiRJg3Ux/Sd92oFlwz1wuerWpcAdmfnxmvLarsinAz2jnAbKd7wR+NJw46k1WkO6DgG+UbwPtABfzMzvRsSvga9ExNnA/RSZLIBrKGasvptimbK3j1KckiRJkiSpQg66aNqDD31k+1JgKX2v0lXP0uzPBt4C3BIRN5ZlHwTOjoglFMuy3w+cW9b1m+8o5wBaAPy0jnh2G7Vl2RvNZVklSaoWl2WXJGniGa1l2WH3al0XUCRVVgLL6kz27NNM+EiSpH2CCR9Jkiae0Uz4TDSjNmmzJEmSJEmSRocJH0mSJEmSpIox4SNJkiRJklQxJnwkSZIkSZIqxoSPJEmSJElSxbSMdQCSJEmSJEkjbcdf/moecCHQBrQDF0/98Il1LcseEQuAy4FDgAQ+k5mXRMRHgdOBbmAd8LbMfDAijgY+DzwN+FBmfuzxjlNXbC7LLkmS9gUuyy5J0sQzWsuy7/jLX50DXESR7OnRDiyd+uETLx3ucSNiLjA3M2+IiFnA9cAZQHtmbi7b/DFwTGaeGxEHA4eXbTbWJHz6PE5m3j7c2BzSJUmSJEmSKqvs2dM72UO5v7SsH5bMXJ2ZN5TbW4A7gPk9yZ7SDIpeO2Tmusz8NbBrMMcZblxgwkeSJEmSJFVbzzCuvrQBFzTiJBGxEHgqsLzc/+uIWAm8CfjwcI8zXCZ8JEmSJElSlfWX7OmxoN4TRMRM4OvA+T29ezLzQ5m5ALgCeM9wjzNcJnwkSZIkSVKVtQ9Qv7Keg0fEJIokzRWZeVUfTa4AXtOA4wyJCR9JkiRJklRlF9N/0qcdWDbcA0dEAJcCd2Tmx2vKF9c0Ox24czjHqYerdEmSpH2Cq3RJkjTxjOIqXWcDS2n8Kl3PAX4G3EKxBDvAB4GzgSVl2f3AuZm5KiIOBf4XmF3WbQWOAY7r6ziZec2wYzPhI0mS9gUmfCRJmnhGK+EDu1fruoBizp6VwLKpHz7xwdE6/2gz4SNJkvYJJnwkSZp4RjPhM9E4h48kSZIkSVLFmPCRJEmSJEmqGBM+kiRJkiRJFWPCR5IkSZIkqWJM+EiSJEmSJFWMCR9JkiRJkqSKMeEjSZIkSZJUMSZ8JEmSJEmSKsaEjyRJkiRJUsWY8JEkSZIkSaoYEz6SJEmSJEkVY8JHkiRJkiSpYkz4SJIkSZIkVYwJH0mSJEmSpIox4SNJkiRJklQxJnwkSZIkSZIqxoSPJEmSJElSxZjwkSRJkiRJqhgTPpIkSZIkSRVjwkeSJEmSJKliTPhIkiRJkiRVjAkfSZIkSZKkijHhI0mSJEmSVDEmfCRJkiRJkipmVBM+EdEcEb+JiG+X+4siYnlE3B0RV0bE5LJ8Srl/d1m/cDTjlCRJkiRJGs9Gu4fPe4E7avb/DvhEZh4FbATOLsvPBjaW5Z8o20mSJEmSJGkQRi3hExFtwCuAz5b7AbwQ+FrZ5DLgjHL79HKfsv7Usr0kSZIkSZIGMJo9fD4JXAB0l/sHAJsys7Pcbwfml9vzgZUAZX1H2V6SJEmSJEkDaBmNk0TEK4F1mXl9RLyg0cdfsWJFow8pSZJG2QknnDCk9l7/JUka/4Z6/dfgjUrCB3g28KqIeDkwFZgNXALMiYiWshdPG7CqbL8KWAC0R0QL0Ao83N/BFy9ePJKxS5KkfZDXf0mSpP6NypCuzPxAZrZl5kLgTODHmfkm4FrgtWWzs4Cry+1vlfuU9T/OzByNWCVJkiRJksa70V6lq7c/A94XEXdTzNFzaVl+KXBAWf4+4MIxik+SJEmSJGncifHacaajo2N8Bi5JkvrU2to64IqcXv8lSaqWwVz/NTxj3cNHkiRJkiRJDWbCR5IkSZIkqWJM+EiSJEmSJFWMCR9JkiRJkqSKMeEjSZIkSZJUMYNO+ETEU0YyEEmSJEmSJDXGUHr4/DAiboqIP42IuSMWkSRJkiRJkuoylITPXODDwEnAioj4fkS8OSKmj0xokiRJkiRJGo5BJ3wyszMzr87M1wHzga8AFwBrI+LyiHj2SAUpSZIkSZKkwRvypM0RMRM4AzgTaAO+DKwAroiIf25seJIkSZIkSRqqyMzBNYx4BfAW4DTgF8DlwDczc0dZvz/wQGbOHKFY99DR0TG4wCVJ0rjQ2toaA7Xx+i9JUrUM5vqv4WkZQtuLgcuAP8nM1b0rM3NDRJzfsMgkSZIkSZI0LEMZ0vXRzPxY72RPRLy2ZzszP9uwyCRJkiRJkjQsQ0n49JfM+UwjApEkSZIkSVJjDDikKyKOKDebImIRUDu+7ghgx0gEJkmSJEmSpOEZzBw+dwNJkei5p1fdGmBpg2OSJEmSJElSHQZM+GRmE0BE/DQznz/yIUmSJEmSJKkeg57Dx2SPJEmSJEnS+PC4PXwi4ruZ+bJy+2cUQ7v2kpnPG4HYJEmSJEmSNAwDDem6vGbbJdclSZIkSZLGgcjss9POPq+jo2N8Bi5JkvrU2toaA7Xx+i9JUrUM5vqv4Rn0HD4R8dmImN6rbG5EfLfxYUmSJEmSJGm4Bp3wAWYCN0fEMwEi4kzgZuA3IxGYJEmSJEmShmfAZdl7ZOaZEfEm4OqI+C0wF3h1Zv58xKKTJEmSJEnSkA2lhw/AKmAHcARwL3B3wyOSJEmSJElSXYYyh8/HgC8D7wUWAjdSDPF63ciEJkmSJEmSpOEY9JAu4InAUzJzbbn/fyPiP4HLgK82PDJJkiRJkiQNy1Dm8HlFH2XXRcRxjQ1JkiRJkiRJ9RjSHD4R8eKI+FzZs4eIOAF4xohEJkmSJEmSpGEZyhw+5wGfAu4CnlcWbwf+agTikiRJkiRJ0jANpYfP+cCLMvNioLssuxNY0vCoJEmSJEmSNGxDSfjMAlaW21n+nATsbGhEkiRJkiRJqstQEj7XARf2Kvtj4NrGhSNJkiRJkqR6DWVZ9vOA/4yIdwKzIuK3wBbglSMSmSRJkiRJkoZlKMuyr46IZwAnAodRDO/6VWZ2P/4zJUmSJEmSNJqG0sOHzExgefmQJEmSJEnSPuhxEz4RsZLHJmjuV2Ye1rCIJEmSJEmSVJeBevi8eVSikCRJkiRJUsM8bsInM386WoFIkiRJkiSpMQa9LHtETI6Iv4yIFRGxrfz50YiYOpIBSpIkSZIkaWiGMmnzp4AlwB8D9wOHAx8E5gPvaHxokiRJkiRJGo4oFt4aRMOIh4EjM3NTTdn+wN2Zuf8Az50KXAdMoUgyfS0zL4qIRcCXgQOA64G3ZObOiJgCXA48HXgYeENm3ld7zI6OjsEFLkmSxoXW1tYYqI3Xf0mSqmUw138Nz6CHdAFrgOm9yqYBqwfx3EeBF2bmU4DjgZdFxMnA3wGfyMyjgI3A2WX7s4GNZfknynaSJEmSJEkahKEkfP4d+G5EvDMiTouIPwCuAS6PiBf2PPp6Yha2lruTykcCLwS+VpZfBpxRbp9e7lPWnxoRZv0kSZIkSZIGYShz+Pxh+fODvcrPLR9QJHGO6EwXnC0AACAASURBVOvJEdFMMWzrKOCfgXuATZnZWTZpp5gPiPLnSoDM7IyIDophX+v7OvaKFSuG8DIkSdK+6IQTThhSe6//kiSNf0O9/mvwhpLwOSozu4Z7ovK5x0fEHOAbwNHDPVZvixcvbtShJEnSOOH1X5IkqX+DGtJV9s7ZWk6mXJdy0udrgWcCcyKiJ+nUBqwqt1cBC8pztwCtFJM3S5IkSZIkaQCDSviUvXPuohhWNWQRcVDZs4eImAa8GLiDIvHz2rLZWcDV5fa3yn3K+h/nYJcTkyRJkiRJmuCGMqTrCuDbEXEJxXw7uxMwmfnjAZ47F7is7CnUBHwlM78dEbcDX46IvwJ+A1xatr8U+PeIuBvYAJw5hDglSZIkSZImtBhsx5mIuLefqszMPidqHkkdHR32+JEkqUJaW1sHXJHT678kSdUymOu/hmfQPXwyc9FIBiJJkiRJkqTGGNQcPj0iYlJEPDci3lDuz4iIGSMTmiRJkiRJkoZj0AmfiHgyxcTN/8Zjc+08H/jcCMQlSZIkSZKkYRpKD59PAR/OzKOBXWXZT4HnNDwqSZIkSZIkDdtQEj5PAv6j3E6AzNwGTGt0UJIkSZIkSRq+oSR87gOeXlsQEScCdzcyIEmSJEmSJNVn0Kt0AX8B/FdEfBqYEhEfAP4IOGdEIpMkSZIkSSNu9b1NrLqniaZmOPyJXRxwaI51SGqAQffwycxvAy8FDgKuBQ4DXp2Z3x+h2CRJkiRJ0gjasCb47fUtbN3UxOaHm7j1Fy1s3zbWUakRBt3DJyImA/8HeAkwD1gFrI+I2zJzxwjFJ0mSJEmSRsjDa/bsB5IZbFzbxLQjuscoIjXKUIZ0fQpYApwH3E/Rw+dDwHzgHY0PTZIkSZIkjaQZrXsP35ox2yFdVTCUhM8ZwJGZuancvz0ifkUxabMJH0mSJEmSxplDD+9m07ou1q1sIppgweJuWg804VMFQ0n4rAGmA5tqyqYBqxsakSRJkiRJGhVNTXDMSV0cdXwXTU3QMmmsI1KjDCXh8+/AdyPi/wHtwALg3cDlEfHCnkaZ+ePGhihJkiRJkkbS5CljHYEaLTIH11UrIu4dRLPMzCPqC2lwOjo67GMmSVKFtLa2xkBtvP5LklQtg7n+a3gG3cMnMxeNZCCSJEmSJElqjKaBm0iSJEmSJGk8MeEjSZIkSZJUMSZ8JEmSJEmSKsaEjyRJkiRJUsWY8JEkSZIkSaoYEz6SJEmSJEkVY8JHkiRJkiSpYkz4SJIkSZIkVYwJH0mSJEmSpIox4SNJkiRJklQxJnwkSZIkSZIqxoSPJEmSJElSxZjwkSRJkiRJqpiWsQ5AkiRJkqR9weYNwd03NbNjW3DQ/G6OPK6LpuaxjqqxcivQBdE61pFopJnwkSRJkiRNeN1dcMsvWtj1aACw6p5mWibDoid1jXFkjZEJXT9qpvvWJiCIRd20vKKTMCtQWQ7pkiRJkiRNeNs2x+5kT4+N66Kf1uNPrgy6b20GiteU9zbRfYcpgSrztytJkiRJmvCmzUqaW3KPsln7ZT+tx5/ctHfyqq8yVYcJH0mSJEnShNfSAk88sZPJUxNI9j+0m4XHVGM4F0DTwm5ork1gJU1Hdo9ZPBp5jtaTJEmSJAk4cF5ywNxddHdBc8X+Wo7Z0PLqTrr+txk6ofn4LprmVacHk/ZWsY+wJEmSJKkeax9oYuVdxWCQBUu6OWTBxOoFElG9ZE+Pprakqa2Tjbt28j8b1zNrwyROnnMAk5oc/FNFFf0YS5IkSZKGavOG4I5fPTax7x3Lg+kzs1Jz2Ux07dsf4X133Mi2rk4Anjyrlb9dchwRzudTNSZ8JEmSJEkAbFgb9CR7CsGGtWHCp0K+ve7B3ckegFu2dHDndfdx7PTZ0JXwaBfdS2aTh04bwyjVCCZ8JEmSJEkAzGzdO7HTV5nGr87c+/fZde8WWjp27t7Pmzex6zWHkfNM+oxnDtSTJEmSJAFwwNxk/pFdRCQRyfyjutj/UBM+VXLaQXOZUjNnz5HbWji+Y/IebaIbmm/bNNqhqcEi+8jujQcdHR3jM3BJktSn1tbWAScP8PovSaOjc1fxs2XS2MahkdG+/RF+umEd+922jZfc1cSMrr37gnQeP4eu5x8y4rEM5vqv4XFIlyRJkqQJaftWuPf2ZnZsDQ6c382CJ3TjvLUFEz3V1jZtOm+av5DIR5h0Vzuw5/cpOa2ZruP3G5vg1DCjkvCJiAXA5cAhFJ+kz2TmJRGxP3AlsBC4D3h9Zm6MYnrwS4CXA48Ab8vMG0YjVkmSJEnVlwk3/3wS27cWGZ7NG5qI6GTBEybWEuSa2LJtOjvffgRND2wj50yCXUls76J74QyY0jzW4alOozWHTyfw/sw8BjgZeHdEHANcCPwoMxcDPyr3AU4DFpePPwA+NUpxSpIkSZoAtnXE7mRPj4dWOcWpJqAZLXQ/sZWcO508bAbdS2ab7KmIUfkfLTNX9/TQycwtwB3AfOB04LKy2WXAGeX26cDlWfglMCci5o5GrJIkSZKqb8r0pKlpz2Es02c6TZik6hj1OXwiYiHwVGA5cEhmri6r1lAM+YIiGbSy5mntZdlq+rBixYqRCFWSJI2iE044YUjtvf5LqtfsefvRsepQMptombKDnP4AK1bsGuuwpAllqNd/Dd6oJnwiYibwdeD8zNwcNTOiZWZGxLBS6osXL25QhJIkabzw+i+pboth185Odu6A6bOaKL6b1kSSO6F7RRPsgqYndBPTxzoiqXFGLeETEZMokj1XZOZVZfHaiJibmavLIVvryvJVwIKap7eVZZIkSZLUMJMmFw9NPNkJnVe2kA8XM510LU8mvXEXMXuMA5MaZFTm8ClX3boUuCMzP15T9S3grHL7LODqmvK3RuFkoKNm6JckSZIkSXXJ38XuZA8A24Ou25ysWNUxWj18ng28BbglIm4syz4IXAx8JSLOBu4HXl/WXUOxJPvdFMuyv32U4pQkSZImpO5ueODOJjasaWJGa7LoSV1MnjrWUUkjJzMGbiSNY6OS8MnMnwP9/Ws6tY/2Cbx7RIOSJEmStNu9tzaz8q6id8PmDbBtc/C0UzrHOCpp5DQd2U3Xfgkbyz9VpybNx3SNbVBSA436Kl2SJEmS9j3rH9xztofNDzexcwf28lFlRQtMOnMX3Xc2QSc0LekmZo51VFLjmPCRJEmSxNQZyfatj3XKb5mctDiZ8YSQXZArAyZBzEtiAo10iinQ/JTusQ5jTNy2eQf3bHuU41qnsXC6/9iryISPJEmSJI48rotbfh48uj1obkme8NQumkZliReNpdwBu66ctHtYUxzWTcsZnUSFf/dNv91My/+sh53ddB3bStczD4QtnUz64RpY8wi/WJTcuWQSxx24P8fP3m+swx0RX2rfyBfbNwHF3CvvO+ogXnCg3ZuqxoSPJEnaQ1cnrFvZRGcnHNzWzZRpYx2RpNEwszU56bRdPLI5mDojaZk01hFpNHTf0vTYHDZAPtBE3h/EohzDqEZQx05avreaKF9ey683kPtNpvm2DppWbeczh2/hKwc+Ag/DlQ+v4g8PO5JXHTJ/bGNusF3dydcf7Ni9n8BXVm0y4VNBFc7bSpKkoeruhhuubeG317dwz00t/Pr7k9i+dayjksZGZyesaw82rg2yon/79tbUBDPnmOyZSHLH3uO3+iqriqbV23cne3aXrdpOrNpOZyTfPPSRPeq+uaZ9FKMbHUnS1es/tc7uCfKf3ARjwkeSJO22YU2wreOx24POXcHqe5vHMCJpbOx4BH71vUnc/stJ3PSzSdzyi5YJk/TRnnIDdLcHWdHFm5qO7obmmg/3tKRpUXXntMlDptH7n3L3oVPJQ4vZyZt7LS7dXMGxbZObmjjtkNl7lJ0+t3WMotFIckiXJEnara8/aP0bVxPRqrub2bn9sT/8NqxpomN9MOcg/0VMJJ0/aab7xjLp3ZpMeu0uYtbYxtRoTQclLa/rpOm6TbRs2ULOa6Fr1wEwdRJx3zaab94IzUHX0/cnDx3/Y3xzv8l0nnoILf9dzOHTfWwr3ce0kvOn0/K91bxh1XS+cNi23e1fP2/BGEY7ct55+P48cdYU7tm2k+Nbp3F86/j/3WpvJnwkSdJuBxyazJjdzbbNxTeaLZOSeYsq+rW29Dg6O/so2zX6cWjs5AYeS/YAdARd1zfT8oLq/Z/YsnYDk1avK3bugl9u38A3j3qUqasf5cz1Mzh2y2Sa7tvGzrcuglnjf7xf97Fz2HnsnOJbjnJJstxvMrvOPJzXdR/GE7d1sGLbVp48q5WjZlQrw9ed8NNVTdy+oYn5M1t5w2FddCd8455mHtwWPOmAbp4/r3tCrdRWZSZ8JEnSbk3N8NRTOotJm3fBwQu6mTp9rKPSvqBzF3Q8HMyYlUydMdbRjLy5C7tZc28TmcVfPVNnJPsfYu+eiSS39TG3zdZq/hXcvGLL7u3bZu3kI20byUeB/eE3rTv5/G8O5OCdzTTdt43uJ88Zu0Abra+sRlNw7Kw5HDurQq+zxjX3NfNf9xeJzFs3wANbgq6EuzY1lWVNbO/s5LTDqzusbyIx4SNJkvbQMgnmHeGNnh7T8XBw889b6NoVQHLU8V20HVXtz8js/ZOnntLJ2geaaJkE84/sosnprCaUmJfEzJ2wNUmm0MQOmo5IoHofhJw9CVZtB+Dn+z9K1uRBHm2GX+33KK9cO71op3Ht1+v2nJPojo17z1H067VNJnwqwoSPJEmSHte9tzaXyR6A4N5bm5m7sJvmit9Jzt4/mb1/9YbvaHBafr6OKY9sJAIygsgkfwRdjxxI1wkHjHV4DdV50gE0Pbid6NjF3Ef3TmjN29FM15JZ5GF2+Rzv5kxJ1tXMTza1KcmAR7uips1YRKaRUPHLtCRJkuq189E997s6g65OKp/w0WOyG7qWN9O9oomYnTQ/p4umA6s7xC3WbKflxo2P7Zcz2kc3NP/3erqWzK7EXDa7tU5m51sXEQ89yinTm/4/e+8dJ8dd3/8/PzPb2/VedSedTt1qluTeKDbGxg0HCKaFEEISQr7wCyRgIARCSIBAIE5oJrTQTTU22LjbsmU1q+tUrun63e7e7t22mfn8/ti7vVvpVCzrbrWz83w8/JA+n5mV37MzO5/P5/V5F57pP8T2cBABvNpXwfJbW9BKLBXADLyhReerLwkmNIEqJHcuSefw+WGHiiEFPrvkVit3n2kQMk/rS4bD4fw03MLCwsIib0glYaBTQUsKqpp0PObK23jRUVRUdNbkGBfL+D8ZgZ7DKqmkoKZZp6zmojBr3ug+qHBs74y6U1JlsObKObIaW5gWfZuC/swshc8nsb8jhTBZdNOEpvHk2BCpgRg3PJ2gJDX3BSbvbEDWmdvbpS8ewy4EFU5Xrk2xuMAkdeiMCKo9koAD1O37UPYdI6XaMDauRGlb2Mpk5zL+W5wf1r6MhYWFhYXFHBgG7HzMzmQkPQfp6VBYd52Gr8jcC3uLs6NpsPNxO6lE+tkYOSFYc5VGSaV5n42GpQZ2p8bogII3IGlos3Z/Cw2j86Q8H1GBHBUIEz33cV3nAwd2ciKezmXzo0sU7ttdSkUyW/SRPpspypOfjVqX+a9xGl1K1AIqS+VQoa04/dtVjvRg37YPSGenko9tJVldggz4cmihxYXCEnwsLCwsLCzmYGxAZMQeAEMX9B9XWHKJtdAtdIKDIiP2pBEMdiuUVJr32RACahYZ1CyykngWKqJUIk/M6rBJRMA8Yg/Ac6GRjNgDELIbPLTU4C1BHzJgRwRTSL8NfVMZqIUjDpiZsaTGF44Ms3s8TqPbzvtbK2jzFVbomtI3lNUWUiL6RyzBxyRYgo+FhYWFRRbdhxQGuhQcTli0UqeozFwT+nNlrmo8yqmFLCwKEOccm95z9VnkHzJF2mulVCIcubZm4RAjCdRto2BI9A1lyKpTQ3jUzTpyRCD7FXBI1Gt1RAFE+hjtflK1jbk2w2Ke+EbXGLvH4wB0x1J8rmOIr11Sj1JA3j6yshT2H83uqyjJkTUWFxpL8LGwsLCwyNDfqXBsT3pomAReekqw5XUpbCbKS3mulFRKisoMwqNplcfulNS2mteDw+LcCZRKqpt1BjrTqqAnYFC32Ho28h2jV6D92gYJAQ6J7UYNZZH5BW9xYhL7z3oQU5eqHImSurUe2ezNPs8L9rs1ZBRwgTDhKmJLcTl1ru6Ml0+Rzc4N5dU5tspiPjkUyc5IP5jQCKcMShwmS051BvS2JsTwGOrB42CzoW1cgSwtyrVZFhcIE76qLSwsLOaH+CTYHeauSjM2kL2jpWuC8IgwfULauRAC1lytMdov0JKC8loDe2F5eVucgfYNOg1tOlpSECiTFNBmsGnRH1fTYg9AUqA9ZsOxKJVboxYAddtoRuwBEIDt+RFSJwk+meMmjvJwqSpfXLaWJ8eGSBgGV5dVUmIvIFevWYwmNTqiCdp8Tkod5p34rAi4GBqJZtp1LjvF9gJz51UUtCvXo122FhSBNaCZC/P+ei0sLCwuEMkE7H3WxviogmqTtK7WqW0xZx4Lb0AynNUj8ZgsR8PLQVGgok4ChfsdWJwebwDM/GzIMMgJgaiWiAJY/8jxkxY5kXQpcvNf+xyLu9Os9+K6zrd7j7NzPEiLx8e7Glood5hLCffabNxYWZtrM3LKkyNRvnB0GF2CTcCHllRyWencAmC+82dNpSQNgx2hGM1eB+9bVI4oVMFDNf3LriCxBB8LCwuLs9B9QGV8KqxH1wQdO1XKaw0cJsxdUL/EYHzUYGxQQVElLSt13Oac41lYWJwB7RkVY5sCCCiS2O9MIfy5tmp+UdoMjL0qIFFIQIuaFnsMiRhLIgN2cJhvQaRvLEXpnsh4+UhA21Q+57nf6DnG74b7AeiNxxhKxPn88rULZKnFQnF/9xj61POgSfh295hpBZ+AXeVvFlWxa0QhpsGRUYjGJMtLLc9NC3NgCT4WFhYWZ2Eikj3iSymIRQUOl/l29m12WH2lRjKeDl0zc/iaxbkhpxyczO/lYDGNDDMj9gCEBfo2Fdt15s5TpF6jo4g4zv3dKIaG7FXQdpZh2xlERDSkXaBdX42xNJBrUy8oss5D6k+bUbeNTSVtLkVWzL2j8WJ4LKt9cCJCREvhL8REbyYmnDJOapv3tz+ehM9utxNMZM/1tlTr3NNu3uu2KBysqbyFhUWG8KigY5dKLJrOV9K2VrcW/EBZtUFwcGa1a3dK/CXmE3tmY0bvJYvTE06luK/rCC9FQizx+nhv02KqnW70nQr6VhU0UFYZqFfrBb3jaQwIjJ3pd4FyiYFi0txWMio4OaYn3WduhA0coQEUQ0u3kwa2p0cQRvo+i5TE9vggyVYf2MylgMpSJ9pras56XoPLw3ByJsltmd2Bx5oomI7rK3w8NBTJtG+oMK9733MDyiliD8DWAYWbm3VKrfmQRZ5jvaEtLOZA1yA0LHC6wVdszgn9yRhGOk9NamrQG+xSsTtg8Rprd6NusYGuaQz1Kjjd0LJSn7Nkt4VFvvJfXR08HRwB4MVwkM8dPci/V6xDf2JmmmDsUhFVEnWZOfNXnQ0ZAu0nNtDT70jjiIL9rSlEcY4NmwdEtYSAhFk5bdS6GMqROEa9B1zpF6AYiCEmdYxGj2kEEBFOZv4+4tD5XWUMQ8Brh9xUJVRE3ICEYZrrfbn8eWMr/3xkH73xGMU2O3+7qA3VJCrwUELjJydCDCc1rizzcr2JRY65SOjw0oiCqkjeUFkGCT9jeox15QqvrTLvd6GfZkiTiExYm4VFPmMJPhYWJzEZhV2P20nG0xOY2ladtrXmFz0mIyIj9kwTHjHHJO6VIgQ0LTNoKtCFroX5eSkSymofmogQ141TJglyUMCyhbPrYsI4omTEHgB0gXFEQd1gvveCUMF+Zwp9m4qMChz2IRxPp9O5S7sg9YZ61D1h1IPj6T6fjeRdjRDI/7AevdWPbVeQsM3gvavHCDrS9/cX1ZN8fXcZpaVe8Bbu9LnB7eG/V25gOJmg1O7ApphD+NKl5KMH+umPp727tofSZdkLRfSJptJhTaPx6XecBJyAn5VuHVWYdx68qdrg0V7JpJY9511VZlDhzpFROUZKydDYNqKTXVSWbsTvbc61SRavgMIdsc6ClNB1QGGoV8HlSe/oF4qnx8lICSeOKoSGFHzFBg1thqnDfHoOqRmxB6DvqEr9Yh2Pycd8t09ic0i05My1+0sL85m3sCg0Fnv87BgPZtr1LjfuOkFKSJAz7wSl3nzixjlhSJRYFIGBTgA5PX0yZw5TAEQAbNfrkNCxf31kpj8lsT05jDIYn+mLaqg7xtCvqcqFqRcU/YoKcCg8FhrIiD0AEbvkDyvg9vV1ObTu4kAIQaXTXHEuR6KJjNgzzZMjEwUj+GwdUGaJPTA7pPPRXoVXN+p481/PnZMyF/zjhhRbBxTGk6AIQb1PcmlVgY53wN6O/6Sr/zcAHDz2TTas+DhV5VtybJXF+WLiZfsro7dDoXN/+uuZHIdoSLD5phQm2ch4WRzbq9JzKO2+PdKnMDGus2KzeZX+5BxxvKmkwMyldwFUFZZv0ji8w0Z8AspqJItWmPc+W1gUNDENEdORpU6IabyvuJHPaik6JqPUu9x8sKUd4QX1NXo6h08K1DU6ymJzvwfnZELD8cMuRFQDAVKeIE4DekMApc3cCwIpJb8d7GPHkjGaYjbe1OvFrysQP3VsEHP05SWqQN9Sjm1Eg+PZCYptS4sK2rvHzJQ5bCjA7F90hbNw7nXiDD9fQ2L60KZSF9zUbO73+bmSTIXp6n8w05YYHO35iSX45DGF8yZ7mYwOZCs7ybggEhQUlZn8jTcHg13Z38Vwr4Ku66gmzWFS06wz2jdzzZ6AQaBAPF1KqySbb0xhGBSkuGlhUQio20ZRt44gDJBeG0xqNEn4amUp4zevwO13zpzbbqC2F/YkWN0VTIs9UwgBLmcfydvdmD2D9U/6e/jfwU4ohedJcsiX4vP7StHXFMPuEEo4BaS3Q/TlRTm19UJzZUkFDwz00hWbBKDW6eLassocW3VxIKVEmODZNyQ82KmyfVih1GXj5opyfjM8ggFUO228sS79TI/F4edHVXqiCstKDG5r1XGabA68qcrgkR5JXD/1vq6tMAg4cmCURU6Q0uDkTW5JYc8D8h1L8DkN3oAkNDTTForE7SuMRf/JONwyK8TJ7jS3GFBeK1l1eYqhnnSC3volhVeVxsz318Li5SKToG9VkQMCUStRN+mIfHVtH0+hPjeCmBrOxMSMkKEMJfDtDKNfZS1qZzNb7MmQ0NOuACpM6hoDiThNbq9pktdO8/jYUFZ7d1GKgdeUU9JeitEWSIthkxp6exGywZMjK+cHl6ryxeVreT44igFsLi7DZdadrnNEl5Jvdo3x8FAEr6pwT0MJN1Tmb8jToz0Kv+1K39OBSUFRtJT/XusmrGks8Tkzv+ev77PRGUlPjIZiKoaENy81iUfbFOVu+IcNKZ7tV7Epkiq35HhEodoj2VJtLfYLCaejhPqq6+kdfGSqR7Co/vac2mTxyrAEn9PQtEwnEhSMjyqoNsniNToO59k/Z0ZaV+nseUZg6AIhJK2rzS+AlNVIymrMNZhbWFi8PB4dGeT/+rpITkpeN9jAbX3NyD5gEmyvzs/3gwgnM2LP3MdTC2dMnqC3BzLJiacxFvtAFTwxOsSXOw8TNwwqHE4+sWQlzR7zJPYpszszHi4AbkXFvWSqLJnXhn55RY4sWxicispVlldPhkeGIvx6IP1bSBo6/3lshBUBFzWu/FTA945l726Fk4J4yk57YGZ5FE2REXuyP5efY8CZqHDDrS0z17WhynzXaHFurFn6/6gs3URksouq0k0UB5bm2iSLV4Al+JwGhxPWXauRiIHNjqmTFJ+NkkrJlteliIwJvEUSZ4FmrLewKET0rQr6bhVsoG7WUVcUxk5f5+QEXzx+KO3UrMJ3mo/QMOljQ7A8Xa0pTwUfWeNGelTE5Nz2G62+Bbbo4kc2eUndXIv63AgkDYwWH/rlFaQMg/u6jhA30r+J4WSC+3uP8cm2VTm2+MLxtvpmjhyOMq6lUIXgHQ2LCt7LpRAwZPq/6crzKQNsAg5GE9nnAYejibwVfGq9ksOzChTahKTCna2Ie2xQ7JCEZhW0qPEWpse/ReEghEpt5dW5NsPiAlHAMsa5YYkbaewOKK22BjiLwkQaIIcEwisR+eu9Pie6lDwfGmUkmWBzcVlW5RXjiEDfOjNM6H9QEVUSpdz874K9kfApadr3FgXZECxHBPL4+m0KqdsbUJ8fRUQ1jAY3IphCRDX09gCGyfKwXCiMVj9Ga/aPP5JKEtGzw7364nHMxGKvn2+vuZRD0Qj1LjelJnd1ThmS+46P8PjIBGUOlXc3l3FpiblC1c7G030KvzyuEtNgfYVBXBfsGRUUO6G90g9EM+cqQLsvf5+Jm5p0eqKCo2EFtyq5a7GO7yTtShFwT7vGtw/aGE8Kqj2SuxbPEeZpYZFHDMS7eXLkQRShcHX5zVQ4a3NtksU8IqTMz4lrOBzOT8MtLCzyChmB1M/tEBQgJMqlBrYt+endMRef6tjH1tAoAE5F4V+WrmapLwCA9oSKsTN7N1+9TkNdbX4vn0PRcf7uwK6svg8eXMXlE5XYbtZQ6vN/CEoaCXpjx6h2NuCxXRyePUVFRWcNGL6Yxv8PHtjFgehMuNdd1Q28vWFRDi2yeCX86ESI7/UEM22HIvj2ugb8tsLwahqJwb3P25HM/TN0qpJVDUM8MjyOz6bw1oYSriq/ON4dr4RwAtw2cJzhNusGjCehxFzV6C0KkJFEP586+F7iRjpc16v6+cSybxCwl+TUrnMZ/y3OD8vDx8LCwuIM6C+qabEH6HJP8PyJIWp67FxVV4E9z7Nbd8UmMmIPQMIw+MXgCf5+SvARc3j1zdWXbR69lwAAIABJREFUz6iPD6LuCYEBstRB6tZ6CNhZ6gvwzvpF/Ki/G01Kbiqr5aqGEpTyFMIEI+exiQN89di9RLUwDsXJ2xs/xPqSq3JtVt7xj4uX870TnXROTrKhuIS7qhtybdK80j2Z5HeDEQBurPLT6DFX6Z6DkWwPraQhOTaRZE2Rm5QO9lmCwMlhT2agOyJOK/YAJHTB9aWlvKs5twvDC03ROTgpqYol9liYg23BxzNiD8CEHmF76Emurbg1h1ZZzCcmmLZaWFjMFzIC2qM2ZJ9A1Ehs12uIQK6tWlhkJD353V00yqeW70JXJAzA0/FhPr5kZY6te2Xo4eSpfbO8PpU2AzmQQn0pjCISGMu9iErzhDcoh8ex7Z5J4CDGkth/10fq7iYA7qhp4LbqeiSYrvrST0/8D1EtDKQ9fX7Y+1WaPZvYPZ6k1mWn3W+tbKbpiCboj6dYU+SmyJ7tAlBid/DXzW05smxhGUpofHBfHzE9/Y54dCTCV1bXU+k0z1Ryud/Fi6FYpu1UBGU2B5/faeNIWKHSLXlbu0bfhOAXx1Rierqc9ZvbdFMIPy1FElVIdDn3+85rk9RZ+WssLPIaj3qqV55bzS42sH38BM+Hu6lzFvHa8jacinne84WIdfcszhl9v5L2dpCgrtdRV5ozrMMYERgvKsiUQF2lozQXxuTmqbFhtofHaHJ7eV1lLQ5FQfuDDdmdnsXKLoH2exv2Owsrdl1pM9CPKfymtict9kzxQmiME/FJ6lx5KoCEk7Q/MMLaxQ52FqeFH5sQvL5yJo5bCHCN96IaUzkb9oyRqq42TZ4XpS92Sp8YzN7hV0wm9EwzmhzMao9rId6z+zgJI73VfUt1gHc3l+XCtIuKb3aN8ov+dMiWWxX887Ia2vI4Z8kr4ZnRiYzYAxDTJU+PTnB7rTneBwBvqCliMKHx+EiUMofKnzWV8dvjTo6Ep0tyC76+30YoAUx5wjw3oFLvk1xXn/9zomInvHuFxi+PqUxogs1VBjEddg4rlLnSOW7shRHdZlHASGmgGwlsqjkTuV5aeh2Pj/yavngnAE2eNtYXz3j4Pjp6hH/veirT3jHexycX37DQZlpcQCzB5xWgH1DQn1UhAcoqA/UK85YrNwYF+u9Vpic4+iM2RGkKpdZcYoiMgfZjG0xVY9COCWx3aaa7zpP5xUAvX+85lmkfjI7zkcXLkSeyH+iT26YhkkI9HEE6FIylAXBMbdXGdeyJILZ2geI69RlQzuD6frGjHhxHJA0+faCYRyviDDl1tiyupSlQPHNSNIV6LJr9uZdCphF8jGo36iwPHwBZURiL+fXFV/Po8M8zbaeyOiP2APxmYJw7a4spOVNSC5MTTGr8qn8mP09Ml/z4RIiPLq3KoVW5w6cqBFLlePUiDKETtg0Tirr4+PN2UgZcV69zQ0N+ix52RfBXLeX8VUt5pu8XB7Pf86HEqe/9rkj+jgUns6ZcsqY8e2PnzW3myVtnYXEmBkefZ8/hLxFPjlBeso51yz6Cw26OOc80btXLPy79Kvsj21FQWBZYjypmxvrfjhzMOv+F8R6Gk1EqHPmfr6tQsQSf80SGSAsgU26v3fvj7A+MsLjVS7vPfDEvsluQEpLj3nFqYx58uh3ZLcBEQsi4luK+g0fZuzrM4miAdx9bSnnShXFYQak192TnoeGBrPYzwREiWgpXVTqcaxpRZZ77PY0IJrH/sAuRTC9UjJdCpP6kCTQDx/91IcZTALyxAna0CbSpkKcrSsqpceXx7o89LWo5pODGofR1pFZ4yVqu2RSkAmJ2p8MEcQtTGEv96L2TKPvDIEEW2UndWBiVKu6o+zN8tgAHIztp9CxhW/C6rOMG6ZxOULiCT8yQGIBq2PEYfiQGoUmDXx9XKXZKNlUZZ0zyajYcWoCAni5hpEob5ak6tvXB9EbQz47aqPakWFlmrnGirdhg6+DMja5yG4zGBdqssKelxea6ZguLQkTX4+w6+K+ktPRG10hwBwePf5vVbe/PsWUXHptiZ3XR5jmPuZTsUnUqAocV0pXXWHfvPDH6lYzY80zZIF9YugcjCRyAe+qaubu2MbcGXmCOlozziQ17CTuSOHSFvzqynGsrzOXu/5XODp7RRsAJLziHidpSfHrvBoTP/BM5n5K9anEoCnahYHuVhvaQDTkocfjHUKo1jLAfisyTqFPZG8qIPQDKSAKlawJiekbsAbhk2Mb/LGnl2QaDKoeLzSX5/fzry4tQ9oRQQulrNCpdGK0n7d64VPS1pdi2jwEgVYF2aX5fdxZCoN1QDTdU59qSBUcVNm6qfjM3Vb8ZgApnlP1HhjPH1xW5qXbZT/fxgqDWZWeFx0dwrBplSviaCEseDKfH/ucHDD64rnBCXI+FTxZ7T/VqORRSWFlmrg2SOxfraBIOjCnU+SRvWqIxHBP84rjKREpwWY3Blur89myysJjNRKwfp6PYtCFNp2Mi3p8Re6YJR4/kyJrc8abqNeyPDpKQ6Xf5GypXUGSz8vrlM5bgc66Mp0AVYFcQkRRKtQOddIjTjxuOYcya9/ykv4fbq+vzu4KPlJCS6d38hM792lHCjnSej6Rq8PW2Q1zVvAmFPL7Gk9g1Hsxq7y8KYZRFsa86SdyY0LA9O4wYSmA0etC3lOd3mQ7N4G0HXdxbFyE5pfu8uaQel6pCCdjfmML+g06UsSTsBrl/lNSfNCFLTRz6chrv/DrFxe3VpQtry3zhUkm9pRnl+ASoAqPJm37HnYR+RQXGYh9iLInR6AWfeYeNvngKQ0rq3eYRNE9mNA4PdamMJQQbKmcWqleX+wjYVLYGJ6h12XlNpZ+Ylj63OypYWmzwqgYDNY9fdefDWncVj2d5Oc38Ro6OK3SOC5oD5t8UAGj0S14YmmkL5CkVnZr85vsuvHZ413IdmBGyqr2SVeWFI/ZZFAbxxCjb9n6McPQIquJixeL30lhzY67NWjB8nkZcjnLiyZFMX3nxJTm0KDes8lfzzRV3siNyggZXMe3eilybZPEKMe/M/UKhGdge7EM9PoEEmApvkEV25GUNaLs8JNXsnZ2UNDDI30mP6JzA/ugAIqohbQKhSYY2RGHWGigiUsSljt1Egk+Lx8eeSDjTbp5UCSS6SaotMOs67Q/1ofSmk70qIwlEykC7Ln89BJSuCTb0KnxvsJzdgRSLJm3UL/Ogt8wcV8ZmqjmJlETZG0a/qjJHFl9Y9FXFqPvCiMRUSFeFMy1s6BK5bRQRTnvASK+K3m6ycE2bgrHEf9bTZLUbWW3enT5dSv6tY5hnxiYA2Fjs5iNtVdgV8+TlANAN+NIuO8Px9HXtH1MQaGyeEn3WFrtZWzxzn+/bY+Ol0fS772BQIZrSuXOxubw3zoZzDhF0Nmc5bCqurjM4MaHz/KCCxwZvaNGZSMHvulR0CVfWGqyvsDxdLCzylcNd3814tOhGnL0dX6G6/HIcdpPNfU6DIlQ2rvwk+47ex0Ssj+ryy2hrfmuuzcoJZQ4PrypbkmszLC4QluBzFpT946jH04sAAUwnuBDhFI6BQZQ/r+eWgVq+1nM085lXl1fjVPI0sF8zsD/ch4inL1RoaeHq6iEnP6qfzJx2SaAYv81c7v7va1rC53a+xDF7krqYyoc6ihATOmIwjqybqsSU0DNizzTKsQm4bo5/MF+YWtSWplSuHU0/t9rshe5cmp55dD4odpD800WoHeNIh4rR5k+v4lRB8k1NKIcjYMh0v7swXplx3eBrnaM8OzZJjcvGe5rLTF2m+/ngZEbsAdgWivHUaJTrKs4uhuUTXRGREXumeXFIyQg+s0nosGf01HMLTfC5slbnmX6FaCr9Xcz2allZatBgQo+W02FT4J52nTe36SgiM3RwQ4OBlBSc95dFYTAw8izHTzyAImy0NryR8pK1uTZp3ohO9ma1DZliMj5gWsFn//iLPDT4IzSpcX3FbawvuYoi/xIuu+QLuTbNwuKCsiCrFyHEt4CbgSEp5cqpvlLgR0Az0Am8UUoZFEII4EvATcAk8HYp5Y6FsHMuRCh5hmPpnf9bq+uodbnZPR6kxePjmrL89XwQES0j9szmnd0+fLrCCytVWjw+3mSyHEUADW4P/5VqIbZjFJ8uEAikArJ4lmuTQ0H6bIjojCu3LMnv8A+jyYtR6UIZSpejlm4VfdVMpSaj0YtR5UKZKlctXdnHTYHPhr52jlAtp4ox61qjms72UIxyh40VAfMKID/sDfGH4XQc+5GJJJ8+PMS31jaYzuNlmqHEqaEZg3P05TvFTnlKGE6pc27Bwq6A356OZs6cO0elOrNT5oJ7N6bYNaLgUqHJb7B/TKHYKVllsuTE58rJEcyK4LRhsBYW+Uxw/CAv7vskTHntj4Ze4uqNX8PrrsutYfNEVdlmxsIvZdpuZxUBX2sOLZo/hhIn+Mqxe9Fleqw/NrGfYnsZrb4VObbMwuLCs1Db1d8GvgJ8Z1bfh4FHpZSfFUJ8eKr998CNwJKp/zYB9039mROMVh9yZ3DOuczsBKcbi0vZWJz/uT1kkR3ptyEi2YsdFcHdagW3tzfkyLKFQd9Yirc/lvbqsQm0yyvAO+tnIgTa9VXYHu5HxA1kwI52VZ7HtiqC1F0NKEeikNQxFvvBY8s+fmcDytEoJOY4XiB0TSb58L5+onpaEL2u3McHFuf5vT8NeyPxrHYopdMbS7HIm9/i5mx0I+2xMhwTNAR82MQYUw6NqAI2l3izzu8ICQ4GFep9BpeUS0QeLnBLXXBTs86DnSoSQYVb8tqmuT12FAFvXKLzvwdVUobAY5Pc0VpY3j3T+B3pcKVpKj1W2JKFRSEwOPoczErRYMgUQ6MvsKj+ttwZNY+01N9OyoizbeT3qHY/mxb9NYrI04iFs7Bv/MWM2AMgkbw0vnVOwed4bIwjk6Os9FVT4zSX569FYbAgqzYp5ZNCiOaTum8Frpn6+/8Cj5MWfG4FviOllMBWIUSxEKJGStm/ELaejKzzoN1Ui7o7mH7l2xVETMdo9qJvNFG1mmkUQer1ddieGEKMJZF2gUgaGLUetGurcm3d/OOxpUtyh5PoToW4TcF70ilGs4/ku1oREQ1ZZJ/xa89nbArGGfLT9Gs6P7ElGJM6107audrjO+25ZuXnfeGM2APwx5Eod9YV0ZDnCX4NCS+NCIZiArsiMaSgyeXhUDSROcenKtSaLJztWwds7BhOuyoIXLyrtZ5dk2MYUnJLTVGWuPVMv8L3Dk1fv8o1dTp3L8lP8ePmZoPLqg3CSUGTX57x9bW+0qC9xGBgUtDgkwVVgtzCotAIjR+ib/hxXI4yGmpuxG47efZTeMzlyWNW7x4AA4Ofx7fSpQyAPsDurk/ykaVfodhuvvVOlbP+lL5q56mb2g8M7eNrvS8AoCD4yKJruKKkeb7Ns7C4oORyBl81S8QZAKbVhDqgZ9Z5vVN9pxV8Ojo65sXAabbFBU81KdgFXO82WO6QQBKOBc/62bxlzfRfpnc2JqH/OAMaPBZXSEjY4pQsdZjTpX1nQvDAhEJUCpbaDd7qM/DMlZ9gZI4+k6FJ+HRIJTxVim57KMbQwACXnCYUxKwMRxROTl506HgX8TxPZfXbsToOxbJD9GyinHb3BIeMBCUK3OVJ0X306Gn+hfxjXLOzY7gt05YIXuqV3F0+nu4YitAxqxrRg4OtzB4unzohWGUcwa7k92/g6OC5n9s1dPZzLgQbNmx4WefP9/hvYVEITCYO0zP6n0wnqjzW8xCN5f8fIh9dGS8QI0Y/k0YCj2sNk/HdgKDIs4XQaDHhMXO+d45ou+mKH860Q6lR/u3AjwjLKkqEkxudjVQo5ijgYJN+LrFfxe7UU0gkbba1lIw20jHWgXMiTmAoRNJh40e+jszUz0Dyra7nqRpJnfkftzgvXu74b3HuXBRbtlJKKYQ475nzkiXzl0V8dzjG/x0YyLTvj6rct6aeGleer/LOg4imc+/O3oyXw94kfHZFDctMlsw1qul8eEcPSZl+JA+lFLY5i/mzZvPtcJwLu8MxwmMDWX1HHH7uWmI+j6/xJPyoQ+VoWKElILl7icZIXPDzoyqpGBQZQcK2ERDQ6nVw/bLmvJ4Qj8Tg0IlTPZQ0qbDc38i/LNWwmcGD7SSCcRCD2blsfB7PaccSd8gGs6JcFUWwePHivPd4MaTOsZ6fMRLaQcDbypKmN2G35Zf33nyO/xYWs5HSQAhzZqbevv/HZKqSAPFUNxVVGiVFy3NnVA75fs+XeXLkNwBU+Gr5y+VfosRRgdtZnmPL5pdQsDedVXWKiFxMt+YG0pshPUqMb664A9Ukv4M2Psp4KoiBkfFiEoOjOB5/DDG11vknv533L5vx6NVUYY07FnlHLgWfwelQLSFEDTC9f3gCmO1TVz/VlxO2h7IrMukSdoZi1FQXnuCzPRTLCmkxgCdHJ0wn+JyIpUga2frj8cnTJ+82OxUOG4pU8WrFOA03mkjixXwJbQG+e9DG3rH0RGbniCCm2eiKCmJaWhjwU8bSgI328gQ3VvnzWuyBdDjXmY6ZUewBKHHBpiqDrYNpxUYVklc1nD5E6zWNBvcfEBmB6Lp6I+/FHoBDx+/naM+PARgJ7iAy2cmmVZ/OsVUWFhcX8cQouw5+jpHQTvzeRaxZ+v8o9red/YN5hE09dR6nKE4MaaCYZHF/rpyIHc+IPZr00J0weDz4JG9ufE+OLZt/Vgc2U+6oZiSZ3uSL05R1fDAZ5cjkKEu95slfGLCXZLVtezsyYg/A6ohKe1ThoC/dd3NF+4LaZ2FxIcil4PMr4G3AZ6f+/OWs/r8SQvyQdLLmcK7y9wDUOu0UpSpxGR5SIknYPkSjJy32JHR44KjKgaBCg8/gjladEpNoH9uHBPvHFOI6uFVYU25QZj91hVNuhlXPLIZj8PAxL7WJVuJikqB9ECkM2jxevvKSje6IYGmJwd1LdHwFovmV2u0064tI6lP3Wno51Cc5Xq2xKJDfIS0nczCYLXAcDJ1afqZE+LmrzhwuzZUeWF1m8NJo9oTeJiTX1Jk7Me1b23XWVhgMxQSrygyqPBDXJ0kYcYrs2Qn4N1YZ1HglB4OCOq9kWak5nvu+oSey2sNj20hpE1buDotzIpmKMBLcjttZaWpPkH1H72MktBOAyMRxduz/DNdeen/eC/6zWVR/O/3DT6PpEwD0lzRx77H/h0RyQ+Ud3FJzT44tXDjCqVEAInIJQdYBCj8cNVhXNky7iYSOuXCqbj7c9mWeGXuYpBHnYLyWx4IzpdpVBBUOk48Pc/yu765Zw4vOGGv8NVxp5e+xyEMWqiz7/5FO0FwuhOgFPk5a6PmxEOJdQBfwxqnTHyRdkv0I6bLs71gIG0/H2Hgx/qmFrl06KZcuVk4tcn96ROXp/vSxoZhKMCH40Lr893z4fbfCA8eyH41nBlTe0ubh6jIvT4ymJwSLvQ5eW3n6RL/5yDf32+iKKCiARwZw6oLNDRP0j5TSFUkvil8cSt/zdy3Pz6StL5c9owpJLVvYMxA83aewKGCu76DeJ+mMzAz2dR7JYAw0OdPX4DPHYn+ad6/Q2D6kMDCZrk4lBKyrMKgx+ZxOEbC6XDKdp+yhwR/xm/7vkpJJVgYu5c+b/xGnOiPs1fsk9Sa7925nBbHETCIfh70IVXHm0KKLF12PI4QNRbkoIuFzzvjEcZ7b9UFSWgSAxpobWd32gRxbNT8Exw9ktSfjfSRTYZyOYmL6BA7FiSry+7kIeBdx7aX3MzT2An1GiF8PfiNz7LcD36PFu4yVgY05tHDhWOJbTbGtmp7UGqaTt6Skwv/2bedflrw2t8YtAH57Ma+tuhuALckJjsV+T1c8hE0ovKN2PaV2T44tnF+0VW0ox3oRWnp+q9dXsXnJJWzOsV0WFq+EharS9abTHLp+jnMl8L75tejc2T+WvfM9mbQznkwScMDek3bFj40rTKbAk+eeH0/1ze2183S/yofXV/LGuiQx3aDN5zTVDldMIyPqTFMifLy5zskHjmf3HwwqgLnEjtPhUOde5JrMuQuAP12q88390D+pUO2RvH25zomo4CdHVCY1WFkmeU2jue67TYFN1eb25jkbA/FuHuj7Zqa9d/wFHhv+Ja+t/pMcWjX/LGt9Ny/s+RgpbRxFcbCi9b2WoHEShqGxp+NL9A4+gqo4aWu+h5b623NtVs452v3jjNgD0N3/O1ob7sbrrs2hVfNDWdEqTgz9MdP2eRoxVDtfOfox9ow/j1cN8Mb6v2Bz6Q05tPKV43QU01D9avYN/uiUY0+O7eeFiGCxp4wriptRTDT3Oxm74uA9rf/M+w4+mtU/loqd5hPmpcLh5b5lb6BzYpSKBPhKSs/+oTxHVpSQuPu1qMdPID1ujEXmrcp2ThgaSvfziEQEvXELuItybZHFeWDN7M5CrVcyGp8Z2IocEu/Ut1bjlYSSM8dKnBKXCb5Rl01ychgLgGtqgd/oye8y1KfDpUKlWzIUm+XN4U/f05P7G022038mVpZKmv0GnbPEMLcqubbOXMIHQJ1Pcu+lGhMp8E4Jt/U+yYZKg5SBKX7fr4SeyaOEUiMs9V+Cw0SeIB1jz57S1xfvyoElC0tJYBk3bP4+4egRfJ4GHHZzeWxeCHoGHqJn4GEANH2S/Uf/m4qSdfi9zbk1LMektCgAQRV67OCUsDY+YErBZ8Xi96IbCYbHthPwtbCq7f08NPhD9ow/D8CEPs53u7/ICv8G/Pbis/xrFz9LfKuy2hG5mF+PGcAeAG6pWMZ7G8zt79DiaWStv5adkb5M3/WlrTm0KHeoJ4Zof2QrIp5A+jwkX3M5sqLk7B/MZ/xe9NXmytN1XkiJ/eGPofa/BIDtxW+TvPnzyKICF8HyEPUTn/hErm04LxKJxCcW4v/T5Dc4FBREUwK/XXJPu0aVd9axkEI0JQg4JG9r16g0gadjsUOyc1jJqmBjVyRvadMpM0fqkjkRApoDko6QwoQmaPIbvLVdw2uHRSf13zPVXwgoAjZXG9R7DUqckksrDd7Sbp58VXNhV2SW95oi0p4wZkJKSUfX99l96PP0DT+B112Lx3X6yms/6Pky3+35Ii8EH+PZ0YdZU7wFr80cAkHnse+w3xhgVuQer6q4jQbP4twZtUAoig23qxJVvTgEPJfL9cmznbNQ4z9Ad/9vCUePZPWVBJYR8LWwdewRvt/zZV4MPkapvYoyp/kqF54OVXWzZ+xxnvVAyAajNtg/uZ+ryl+HIszl/qmqLmorr2FJ05torHktTkcJvx/8KScSMYa5ghBrSEgvlwRqqHLW5NrcV0ypowK/rYgTsWO4VDfj4hriszL8H42NcUfVSmwmT+a8ubgRVSgEVCe3Va3g1orlpvJqP1fsv3kCZSLt3SSSKZSxMPqylhxbZXEhkYY+ZwVCMbgP+87vk65pKhB6EoTAqJ+f8unnMv5bnB8Fvl99dio9cO+lGsE4BBygzvo9VHvh3o0pggkoOulYPrO6XPJPm1J0hBRURaIbgvYSg6KLYz0wrywKSD5xaYqEnu3N0Xya/kLBpsC6Ssm6SnN7Ng2ObmXvka8ST4xQU3EVa9o+gDpH9RIz0N3/IIe7vgPAZLyfF/Z+jBs2f3/OstwD8R6emKpaAhDWxnh48Me8tdEcOTsUbYJNMTjshKSAhhRc4luXa7MsLgLKi9fS3f87UqhEhYcSYpQVrebA+A7u7/pc5rwj0X18avm3KXGYu2zzNGH3Yp4K3MyYFsQvO3CJIYaTfRyK7mZFYH4WAxcT7b61/GG8Fp30DuAErTwdjrHKHBo411TcwjUVtwDwF/sfIKiFMsdUoSDm8AI3G17VwT21BT4O6DrK+ERWlwhFTnOyRb4xMbSNob3/iRYbxlu1iao1H0K1zyRwTE3201OiEXOAKwUNYRWbnsqhxRbnSwEuXc+P03szSEpd5hv4Sl2z83qcfpGvG0lGgrtw2osoDixdGOPmGSHmFnVO118IjEeP09n3S6SUNNfdQpHPfK7NKW2CHfs/g27EAegbegyPq5r2Rem88XE9xh+HH6A/3sWqwCYuLb0ul+a+YkaCO7Lauh5jLLyfqrJLTzk3qo3P0ReeN9sWmobq1xA+0sGWyXS7vHgtbldlbo3KEQOJCCcS4yAlVU4/9a7CjtevrbyGp8K9/GA8RlLYqLLZWYuT3ePPZZ2Xkkn2R7ZzedlrcmTpwjGUjPL3HQ+RMPyAnxj1VMuHcYgQHtXk2d6naC+6Hr3vl1l9+6LDObJmfvmT6jV8rvOJzEzwrqqVOBRzeXFZnAZVRW+oRu0ZyHTpzeYL2yxEDC3OwM7PYkyF504MPsfY4e9QseK9mXMGBn9PbCqLR9wOPUWSxqXmT1xuRgp0+XphONz5PY71/hQhFFob7mZx4925NmlBiSWGeXbn32WqvNRWXsu6ZR/JsVUXlsOd36Oz71eoqpOlTfdQX/2qXJu04MTiQzyz62/R9bRLb9/QH7lqw9fwuvPfdX02kYnOjNgzTWj8YObv/3P8U+yPvAjAC8HHiGphrqu8bUFtvJAEfC30jzyVaQsUAqfJS9LibafG1Uh/vDvTd5mJFrbNdbfgsAcYHN2Kz9PAorr8va+vhB/07+J7/TuzJP5CyNdxJpKGxk8nBcmpKkyDWopvnXiRKwMNp5xb7Tq1z4xsDXWTMGZXJFWYpIFLi1awyLssZ3YtJDXOIgKqk3E9kelb4jGnd9c1pS00u0vYHemn1VPKSl91rk2afzQN5fgJREpDb6kHVwG4uJ+G1HWbkM+/hDIcxKitQLt0Za5NsrgApCZOZMSeaeKhQ9nt8OHstt3AKGspAP8+82EJPufJ0Ni2TDgEwMHj36QksIyy4tU5tGphOd77QFZJ376hx2ipv4NivzkSnfUNPzlzj1Ow69C/U+Rfit/bmFvDFhBdajzR+x06lRjVOtgB3UjQP/wEixvNVcEo4F2ETfWg6ZOZvtKi9MQmnBrNiD3TPDPnFQScAAAgAElEQVT2cF4LPovqbyccPcLAyLPYbV7aF73ztF4tilD5u8X/xqPDDxBKjrCx9FrTleitrbyG2sprcm1GzgimYvygf9cp/py/Gj7AzRXtNLjyPxnt+RDS4kT1ZFZfb2Kcy8tex/7IdnaHn0NB5frK22j1Ls+RlQtLueNUL54bK2/i7fWnFF41LQ5F5e8XXc2Xu59lMBllfaCOt9etz7VZ80azu4Rmt8kT9U6j6zh+8UeUkXQYm23bPhJ33AA+EyTpPB/cTrRrzDXeW4Dd14DqKEJPznhru8uy17Du0lVMDm/LtF0lK+bM9WNx8WMJPudJcPzAHH0HC0rwSaZODelIJkNznJmfjIX3nNQj6Q/toFPrp8JZa/rdXF3qfL7jQxyd2Afu9AbXFRPgluAwQSWSk7HZPKxfcS/7j9xHLDFMbeXVtE557TkVN3bhICVnFn5+W36HuthUNxtWfJyUNoGqOFCUM2chD9hLuK32nQtk3fwjpaQ/GaHM7sF5hlLkcUMjlIpR7fQvoHULT1iLo58mfHc0NVmwgk+lw0eru5SjsbFM35aiRuyKg79s+STB5DB2xYEvz98HL4dNRQ1sKWrkuXDa42+1r5o31V6dY6sWnnWBOu5fcScpqeM4wzvEIr9QuvszYg+AiMWxHTiGttHybDENUqKc2IEIdWPUrUeWFM5G7jSK6qBm/ccZ3v/fpCb68NVcQemSt2SdU7X6Awzu+Q/iY3txFbdTuer9ObLW4pVijVBn4Wh0H1uDj+K3FXFN+S0E7OkdjrKiVXScdG5ZkTkHg+FEH9uDTxKwl7Kx5BrsSjqgs77qVfQOPgqkc/24nVWUlVySQ0svLCX+ZXQyE6MfVuC/Rr5NbCjtAfL66nu4ueZPc2XevLN/fHta7JkirkCXAzY7llFXeW0OLZs/KkrWcfXGr5/S71I93FzzVn7R9y0kEpfi4fU1b8uBhRceu21mt34kOcG4lmCRu4SR1CRRLcEiT2kOrZsf+uLjfOLoI/QkwvhUB3/bdAWXFzedct4fR4/ylZ7niBkpWtylfKL1eiocpya1NgNNrmJa3KUcmyVsAFQ5fKzwFk71qbn4eOv1/G/fDrpiIS4tauBNNWsyx0ocFTm0LDeoQuHe1uvpigXRpEGrpyzXJuUMIQQOYU2lTYU+h/BtGKf2FSLxMDi8kOcCp+35/8G2/9cASPEtUtf/I0Zj4YUuu0tX0HjFf572uM1VRt3GTy2gRRbzhZAyP6vuhMPheTe8I7qHL3R8CGNK0Kh01vKJZd9AnRrcj/b8lGO9PwUEixv/hEV1t863SQtO92QHnzv8d6RkOk59sXclH1zy+UxpypHgLnoH/4DDXsSi+ttxO80Twy6l5MCxr9PZ92tUxcme4jI6ksczx1Vh43Mr/8+0O7vbg0/ytc5/zuq7InA1f9ryD6YsTZo0dF4I96BLg3WBOnZH+tGkwebiRlxTk5vB+An6410s8a3CazOXx8e3TrzIzwb3YiAptrkIawkkkiWeMj69+DX4bebJYfBPRx/NeCcABFQn3111d1Yi0kk9xVv2/JD4rFwl15e28sHmqxbU1oUklIrxk8E97I8OoWPQ7q3kzqqVVC6gyFVUVHTWl8tCjP8WFgWPlKj7j6J09iGL/Gjrl4HbnFUrs0hpOH7ye5TxdH4T6bCTvOMGZJG5xvyXRSyM47HPoAzsRToDpLb8JUbLlbm26vxIRHD+4C0IqWe6opWNDNXUgDQobn4DnvJL0OKjjHZ8L+39Un0ZRU23mHLuezFxLuO/xfmR3xLtPPPH4d8TkkuQqHjppDue4j86H2Jj8QquKG6mteFOWhvuzLWZ88pjw7/KiD0ARyb2cmxiP62+FQAEilbiczRQ6fTitpljIhBMxeiMBWnzlrO89c9Z1vJnCKGw89DfEk9UoBLDLqLoUmNSj5pS8NkfHeSZcUFS2Yyq70QVCVThJe64gi93P8sVJc2sD9Tl2swLRtzQ+LtDv+F4LAiATShoMi301jr9/MfS1+O3Oaly1VHlMs91T9MdC/GTwZkQxpA2k7y6Y3KUXwzt5621a3Nh2rzQE88ORx3XE4S1OBWzcpMMJyeyxB6A3rh5KpPNRbHdzbvrT63SZmFhUXioLx3G/tzudKNnAGVwhOQdJixcMTmG0rcLWVSPrGgDu43k7dejHu6ClIaxpAkZKIzqc7PREkFCnb8iHtyPPTJM2Wg/PhREYhz70/9Bon49OPIwr5E0mF19OKFKOjmOHDgGwMTQCzRc/hUGd3+OZCS9yRsb3YU0dEpabs+FxRYWrxhL8DkNMT3Fo+FiIqwDYJwVSGw8EhzmkeDj3FS+lL9uvCzHVuaG6YRdT44d49+6nsosjK8paeFDzVeh5LEC/sexo3yx62k0aeBW7Hy89XrW+GsYTETZFV9LeMrbyy8PsNGnUek03+J/T2SAD3c8hIEEFlGstnBnucHj48X8fDg9ID40eph/WHQtV5Y059TWC8Uzwc6M2ANknmmAvkSER8aOcFvlilyYtiAMJCNnPD54luP5xqaiBnqHZsSbVndpltgD0OAqotbppy8RyfqchYWFSTEMlKO9KGMhjPpqjLq5k9gXCuqRnqy2MhxEhCOm8nQRA3txPHwvYqramrbqTrSN7wCXE321OQqQnA+GFqfnmfejxdKFWWLAeCk0hKA4oSC0OCLSjyxrza2h54OrCH3xddg6HgFg3CmRYpbTqNQZ73kwI/ZME+1/0hJ8LPIWS/A5Dc+Fu4kYM5nI5Ulf1cMjh3ln3Qa8qmOhTVtQrq24lRdDj5M00oNhm281Ld5lxA2NL3Q/k7Uwfjx4jKtLFrG5OD+Tn+nS4Gu9L2SuKWak+OaJF/ly++v58eBLhPWZa42wjDvqbsyVqfPK70c7psSeNCFd4nFczpHYs1nn/W7kkGkEn5M9OU45rp/5eL6z2ldNkc1FWIvPefyK4uaFNWieuad2HYoQbAv30uwu4R1zVNdRhOCfWl/F/X3b6UuMc1lRE2+sNn9SfjE4itrRjfS60Ze3gNPcY5yFxTS2p3ZgO5De1GDnQVLXbEBvb8mtUQuIGOnAtudnoMXR229C+twwPHNcqirSZOXJbbt+mBF7ANR9v0BbfSdMJemPje1jeP//kIx2I4SCp2I9Fcvfi81lvtx2s5kYfiEj9sxmzCMpToD0lCFLTs17ly9ol/8NRt06lGA3wmuHo/dnHXf4mhCKA2nMFOqweQo7l51FfmMJPqdB5cxeKkIIlLOcYwYaPYv5ePvX2RF6ioC9hPXF6fwVY8lJEnMskrvjITaTn4KPJg0iWiKrbyw1mfXnbGLSnPd/LhGz1O5GQFYNH7+JxM4rSpr5fv8ugloMIOtavaqD60rzcBfrZeBS7fzrkhv54cBuwlqcNf4aOmNBwlqcV5ctyVsR93Q4FJV31m3gnXUbznhenauIj7Zct0BW5R6ldxD7b59ETOX2U4/2kLzjBshjr02L+UGMhrA/uR0xmvaGSV29Adx5LAYkkqgHs3f01Zc60NuaUA8/jDKwF6NiKfqy1+V9wto5iQVxPPgRxNQYqPS8SOrKj6MMumFygrCnm0RrER59DDvVaPFRogNPo9j9+KqvQMnT+YA4aW4nDA20BDj96KkJ+rZ9FENLnyNJe3kYqQnqNn0mB9YuHIo6d4oGoTrRa1ehbXxnfv8OFBWj5WoMwCt1fBMdRAeeBsBTsYFAw2tAGgwf+BpIDZu7irIlb82tzRYWr4A8/rXOL1uKG2l2ldAZT4d5+FQHE3oyswh8Q8Vy3OqZyxibhXJnNa+uuiurr8bpp8ruYzAVzfQJYGOgfoGtu3A4FRuXFTfxdKgz03dtaXp377rSVraGZ9yba51+2r3mrM5yW+VyngodZyyVnvhdXtzEpuJGXl+xjF8NHwDSIoiZvB2KbC6+1P56fj96GE0abAzUszPShyYNXl3WRpXTnJWZZtPkLubvFxVeaWWLGdT9RzNiD8RQRkcRA2uQNQUa2hKZSP/pzw73E2PHkQ4v+Ar0e5ES+x+eQwlFQDmK2vsQ4le/JXXjXyMDNbm27vxQRPq/WRWaErYQyWf/Ff/hp1EQqMeeQAS70K74G5KRbrRkCHfJCsSsZO/5itrzYkbsARBIlLFdJN7yTvqe+ygT4R0QAvHEb6m65IMM7fkSxtT8L1z8K+ov+zxC5N/3oLffiDJ8aKbdcCl408VH4qGDGbFnNpMjO5DSyKQ3MCOeivW4SlcSH9ub6ROKk+ItnyFVaq7wdiFUatZ/jGS0Fyl1nP6051Lxolvx1V6NFhvAGVhiit+5ReFiVek6A3FD45lgJwmpc0VxE2OpGDvH+2h2l7A2UDvf//uLnr7EOJ87/gTHY0H8Nifvqd+U9yE+cT3Fz4b20jE5yhp/DbdULEOdGtSfCnby+NhRyh1e7qxadUrODzMR01NsHz9Bsd3FSl91pv/QxDCDyShr/bWmqtpkYXFaDAOlqx8RnUBvrjtl8W8mbI9vw3bwOCh7Qd0BQmL4akje9JkFEzcuiipdUmL/4/OoHelKbnpLPakbNoMWx/Hwx1CGDyIR6O03ol32PvRUBEV1YehxFNWFUMy1GaQlgox1fJ9ktAdv1Sb8pVcS+d1niTl68SXHqZgUCATSW07izm9Anm6G2ba+hG3XQQD6il9g1J9OZG/XoWVMxWEIpGKjZ/11hLsfTB/z1FK/5d+xufK7NL3StxvHQ/+Q1Zfa9B4mG1bR/dRfZPXbvfWkJnqz+mov/QzeilNDY/MBpedFlJ7nkUX16EtfC1NzGy0+wvE/vnUqye8MDv8imq7671yYuqBIQ2dy+EXiocOorhJ8VVvy/jm3uLixqnTNH5bgY2FhYQGgG6Cad8duThJJ/v/27j1Orrq84/jnmcvuzm42e811NyEkIdxCCPeLQUEQBRX0VbGl1IpWLYoV6q2tttYLUssLFSuVWqstUkVUoGoVBaqARCFAwiWEkEBMNtlcNtlN9r47l/P0j5lsdpNNICGzhznzfb9eeWXmN+fsPmd/u+c888zv9zuJFc9hXT0Es6eTO36+pu/sJfnLpcTXtwPgiTjpt56LT4tO0tu55rt0vfAD8BzJqmnM23AeSb8TRi1imV3wRrJLPjIh8bwaCj6xP7RT8aulY9rS55+JDTxC8olbR9py5qyffxQDPavB4uA5Yslaphx3FZNbLyhmiBOqbelHGN61ZxREsrqFzED7yPPmfmNGX/7T7/RF1xPMOHHCYzxcYu0dZLatZd2WLzB6EnPjgNHSG2ewppYXJu0cs0/9kX/ElOM+MMGRHmbuJH/7VeIv/B8AwbTjSV/4eYYH2ml7+ENjNk1WzyQzsHlM28zTrqNm6mkTFu5E6W77BdtX/Tuey49+SqSmMePkT1NVf3TIkYlEjwo+xaMpXQeSy0E6A6lo3G5c5BVxJ7ZpG9bVTdA6DW+qDzuiw2NomOSvlxFr24JPriH72lMJWstjcb7kr5YS35xflTPetgXSGXInHzf+xkGOWNsjWHc7wazT8MYjJzDScMTWryS+6TuQ3AXBLCx7Gomn15B5w1lhh3ZYpAe20bX2eyPPM0Pb2DD3MeavG1tPsb59F++MMuve96501tOLDXWMaeuoCfLFHgDPARBkeul45iZqpp5GvKKu6LEWW2Zg65hiT76tfczz7ipnRh84hteU9jS3oGUq6dR22DL2byATA7cYQ8dcAJt+NOa13HDXRIZYHGZkXvtRsosvh+ww3jgHgMq6eaSaFjPY+WRhuwSNR/0pHStvxnP5Rf4rao+kuvnkkAIvrrrZF1PbcgFBdhBw4hWTIz2VS0SiSQWf/Yi9sJHkw09gQ2mC6U1kzjoSb2oZGepZdrLD+WHae13orKubxLJnsN4BcvNayZ10bPRHCGSHYTBLcukKYtt3ErRMJfOak0r/bjbZIWIbH4N4kqD11H0W5Ev87kkSz6wFwM3IXHgWwZGlu2bTbollz+SLHYD19JO8/xGG3/UWiBfma+cyJB6/dWTId/b09+F1LSFGfJj0D44Ue3aLr23bb8En+fDXRj799eW3kTn/Hwhmn170MIshl+lj1/qfkB3YSs30JeSGuxjsWklVw7HUzb4ovxaFByQe/QrECsWO+FogDsGcMEM/rPq3/X6ftuH0doLaGcR6t4y0BXOWTGRYoQuOmIkvW4kF+akcbkZwRAuWXgLP3zOy3WBFHNj35gUeZEj3bSTVWPoFn3hFHRavGnlzD4AlwPccdzKXL4bkFl1Wumv4jFLVcAzJmhYy/XsKW7VHvYPhuZdSmaojseMBskN7zp21LeeHEWZRjNd/M0/7Ar2bf0N2aDuTpp9DZe0RpBoX0rv5AWLJSUxuOT/S65vE4hUluyi1iAio4DO+dIbkA49h2Sywi1jnXVT+vBevqCFzzl+TbVlMZmArWJyKSS0luVDdy5YZIPngl4m1PQqpejJnXkVwZCH5zwVU/PwhrL9wV4fOXRCPkzsxmkNdrXcbyQdvINaxGo81YsNngTcTX7MB3Mmcf2bYIR66oR4qfvbRkTd5QfMC0m++YWQtBh8aJP7sC/nHBJjHSKxYTToCBZ9YRxeZeD+7qtcRD5LUDczDevrxhskAJJbfRuLZuwHI9bbT27+azKLLqG05j0RlQ5ihvzIVSTyZwDJ73rh5TYpcuoeOlTcz2PkUlXULmLrwanI9bbR33ku62akbNqb3OvGVd5Vswad92adGRi30bLp3pL23/X7SvRuYuvBqrG87sf6xI1s8toXcwqMmNNZiqpl2NjtW3TKmrXLyXDJnfZT4k7djfR0ER55D7piLQoowHN4wmcxFS4g/9Tw45BYtwJvrcRaTfv2niT//S6ioIdVcT3/bXfvsH0tOprIuGr8nsUSKKcd+gO2rbsGDDImqZurmvI2uNbfhwTDxijqajn8/w82LYVI0bmRgFqf1zBvY+eKPyA7toHbmedTMyOc9MaD1rBvZue7H5IZ3Udt6QSSnMo0Wi1dQN+uNY9qS1TNonH95SBGJiMjBUMFnHNbTVyj2AInHwfLDuy3dT/+yG9k0KQ1BGoB4VRMtp11H5eS5YYVbVLHl/01H11IGG5zq9A6mPPRlgpknQmUt6Y0r2V55D9nqQRr6F1A/MI9Y25aSLvjkMn1sfvxzDO1cRSxeQcP8K2ic9w4AEr//BrGO/PB9C7og8VvIvB3I3864lMXX3jfmE/3YjjXE2h6hv66BbU9/lUx/O9XNUwksw1BFF9XDU2nxS0KM+PAZmhrjD5V3EcTyf9M7Jq9mVu072D1OLbbpCSC/XscLjTnSiS547pvsfPEOZp/zrySqmkOK/BVKJsieuYjE0hVY4HhVJdkzTqBj5dfp2/IQAAPbl7FleTfZwa3kKvJTHDqrnXgQUKpv7YZ71u0zRWW0no2/ZOrCq/GaJjxVjw3uGnktmLWQoKW0p6yMVlE9lcYFf07X2u+DZ0nWtDLjlM/gyRqy51wbdnihCmZNJ5g1fd/2OWcTzDkbgHrPkUtW0Lv5ASDAgywVNa00H/sXxOLRGQ1cd8SbqZn+GrIDW6msm4/FEtTNfhPpvk1UTp4XydEPiapmphz/wXFfS1ZPZ+rCD09wRCIiIodGBZ9xeEMdXpPKj1yx7pH2AKe9qg9GLdifG+pk+6p/o/XMG0KItPi2dP6anpr8G73+CicbH2TKro3kmuayac115GryP5++qs2Yx6mpnx9muK/Y1hX/zFDX0wAE2Sydq79FVf0CqpsWEdvxwtiNrQfIAEmCEl/PxjKD+zamB9iy/BZyw50ADFTuKWoNVHawKfUQrVw2USEWTVfTOoLe9Mjz4UQn/Z3LmTQtv06LN8yBnevpqXTSo86YufQuejbdV9KfcuaOn09uTgvW3YtPbYREgoEVT47ZZrh73+JIXwU0LHz7RIV5WMWSkwBj9IKsY1+vLTxIkHndJ0g+/LX8SJfpJ5BZctW4+5SypqOuoOmoK8IOoySZxWk+5j00H/OesEMpukRlPYnKPde5eLKWVMOxIUYkIiIiL4dWHhtPPEb64nPItU7DE3tG7mTi4OP8xEbP844S94Ae3zWmrbvK8aa5DHY9TS7TPfa1hs1kT9nPgq8lYrDzqX3a+juWARDMWDSm3W0Ku4s92SWlvWBhbv7r8URq5LmnGhmeNm+k2DOeoeENExFa8cUOfBrMnHolQXM0pmeMqyaFz5wKiXw1q6pubNE2WdOCxVNj2ipmv45g9hkTFuLhlExNpX7OpSPPLV7FyKXQYjQf896R14KZixm+7NsMvevHpC/+ElQ3TnC0IiIiIiKHTiN89sOb6sm85XWQO5vEiu8Ra19OvP4IKvw50v0bx2xbMy0ad2zZm1mMZGoamcGtI22J6hmQqCKR2vcuRrEFi6C6tO9olpzUQrpn3Zi23W+AM2ddBR4Q2/IUQdM8smd9CK9shqrSH7rvk2eSvvQm4mvuhXiS7NEXkahuIJGaRnZw/OlqqaaFExxlcUyefTHdG+8hyPQB+TuO1Ew5dc8Gk6aQvuQmKns3k3z80yO3o41XNjC59cIwQi6qKQv/iq0rrme4ey3JmlamL/4k2aFOOlbeTG64k+opp9J4wtVhh/mKTDn+g9S2XkB2YBup5pMIsv0M7VpNVd0CktV7TeOxGCRT438hEREREZFXMXMff1j7q113d3cogWcGtrF91TcZ7HoaiyWpnXkeTUe/O1Lz9Ufr73iMrSuuJ8gOEEtOYsYpn6G66UQAdjz3H+xcdycQUDl5Pi1nXF/yt6FN97Wx8XcfI8j0APli3oxTPlO2t+Ec6l7L9pU3k+5rI9W4iFx2gOHutaQaFzL1hGtIpkp1JZexskOd9G5+kFiimtqZ5xJLjF+4zGX66dv8AB5kmDTz3DFTHKImyA4QS1SPPHcP8Fx6vz8bkcOhrq7uJW/zGNb1X0RERIrj5Vz/5dCo4CMvKcgOku7bQEXtHGLxsW/2MoPbCTI9VNTOxSJ0O/b0wFbiiRriFbVhhyIiUjZU8BERESk/KvgUj6Z0yUuKJVJU1R8z7mvJ1BSIyCiP0Sr2ntYhIiIiIiIiUkLKc56KiIiIiIiIiEiEqeAjIiIiIiIiIhIxKviIiIiIiIiIiESMCj4iIiIiIiIiIhGjgo+IiIiIiIiISMSo4CMiIiIiIiIiEjEq+IiIiIiIiIiIRIwKPiIiIiIiIiIiEaOCj4iIiIiIiIhIxKjgIyIiIiIiIiISMSr4iIiIiIiIiIhEjAo+IiIi8qrQ3d3t3d3dHnYcIiIiMnF0/S8eFXxERERERERERCJGBR8RERERERERkYgxd42cEhERERERERGJEo3wERERERERERGJGBV8REREREREREQiRgWfg2RmVWa2zMyeMrNnzexzYcc0UcxsvZk9Y2ZPmtnjYcczUczs6MIx7/7XY2bXhh1XsZjZd8ysw8xWjmprNLP7zGxt4f+GMGMslv0c+2fNrH1U/18cZozFYGazzOw3ZraqcF67ptAe+X4/wLFHvt9h/PN6OfT7oSjn6z8oB1AOEP1zgnIA5QDKAcqj38uN1vA5SGZmQI2795lZEngYuMbdHwk5tKIzs/XAqe6+I+xYwmJmcaAdOMPdN4QdTzGY2WuBPuC77r6w0HYD0OXuXzKzvwUa3P1vwoyzGPZz7J8F+tz9xjBjKyYzmwHMcPflZlYLPAG8DbiSiPf7AY79nUS832H883q5/L0frHK+/oNyAFAOEPVzgnIA5QAoByibv/dyohE+B8nz+gpPk4V/qpqVj/OBF6Oa6AG4+0NA117NlwK3Fh7fSv5iGDn7OfbIc/ct7r688LgXeA5ooQz6/QDHXs4i3++HQtd/QTkARPicoBxAOQDKAaAM+r3cqOBzCMwsbmZPAh3Afe7+aNgxTRAH7jWzJ8zsA2EHE5I/AW4PO4gQTHP3LYXHW4FpYQYTgg+b2dOF4d6RHtpqZnOAk4BHKbN+3+vYoTz6fbzzeln1+8Eo4+s/KAcA5QBQnueEcrgWAMoBUA4AZdbv5UAFn0Pg7jl3Xwy0Aqeb2cKwY5ogS9z9ZOAi4OrC0NeyYWYVwCXAj8KOJUyenwdaTp9q3wLMAxYDW4AvhxtO8ZjZJOBO4Fp37xn9WtT7fZxjL5d+P+B5Per9frDK+PoPygGUA1CW54RyuRYoB1AOoBwgolTweQXcfRfwG+BNYccyEdy9vfB/B3A3cHq4EU24i4Dl7r4t7EBCsK0wz3n3fOeOkOOZMO6+rfAmLwC+RUR/7wtrktwJfM/d7yo0l0W/j3fs5dLv+zmvl0W/vxLldv0H5QAoByjLc0K5XAuUAygHQDlAZKngc5DMbIqZ1Rcep4A3AKvDjar4zKymsJgZZlYDXAisPPBekXM55TmUG+CnwLsLj98N/CTEWCbU7otewduJ4O99YTHabwPPuftXRr0U+X7f37GXSb/v77we+X4/FOV6/QflAAXKAfLK6pxQJtcC5QDKAZQDRJju0nWQzGwR+QWs4uQLZj9098+HG1Xxmdlc8pVfgATwfXf/YoghTajCibANmOvu3WHHU0xmdjtwLtAMbAP+Efgf4IfAbGAD8E53j9zChvs59nPJD+l1YD3wl6PmNkeCmS0Bfgs8AwSF5k+Rn8ce6X4/wLFfTvT7fdzzupk1EfF+PxTlev0H5QDKAZQDEO1rgXIA5QDKASJMBR8RERERERERkYjRlC4RERERERERkYhRwUdEREREREREJGJU8BERERERERERiRgVfEREREREREREIkYFHxERERERERGRiFHBR0TKgpmdY2bPhx2HiIiITCzlACJSrnRbdhF51TKz9cD73P3+sGMRERGRiaMcQETkldMIHxERERERERGRiFHBR0T2y8zWm9nHzexpM+s2szvMrMrMrjSzh/fa1s1sfuHxf5nZN8zsHjPrM7OlZjbdzG4ys51mttrMTnqJ730bMBv4WeFrfLLQfomZPWtmu8zsATM7dktEkuEAAAMCSURBVK94/87MVhW+z3+aWVXhtXPNbNOobWeZ2V1mtt3MOs3s5kL7fDN7sHC8O8zsjsP18xQRESkVygGUA4hI6VPBR0ReyjuBNwFHAouAKw9iv78HmoFh4PfA8sLzHwNfOdDO7v4uoA14q7tPcvcbzGwBcDtwLTAF+AX5ZLBi1K5XAG8E5gELCjGMYWZx4H+BDcAcoAX4QeHlLwD3Ag1AK/D1l3m8IiIiUaMcQESkhKngIyIv5V/cfbO7dwE/Axa/zP3udvcn3H0IuBsYcvfvunsOuAM44Kd7+/HHwM/d/T53zwA3Aing7FHb3OzuGwvxfhG4fJyvczowE/iEu/e7+5C77/60MgMcAczcq11ERKTcKAcQESlhKviIyEvZOurxADDpZe63bdTjwXGev9yvM9pM8p/IAeDuAbCR/Kdzu20c9XhDYZ+9zQI2uHt2nNc+CRiwrDBs/L2HEKeIiEgUKAcQESlhibADEJGS1A9U735iZtOL9H32vo3gZuCEUd/XyCdu7aO2mTXq8ezCPnvbCMw2s8TeCZ+7bwXeX/j6S4D7zewhd3/hkI9CREQkOpQDiIiUCI3wEZFD8RRwvJktLiyI+NkifZ9twNxRz38IvNnMzjezJPAx8msD/G7UNlebWauZNQKfJj90fG/LgC3Al8ysprAI5WsAzOwyM2stbLeTfMIZHNajEhERKV3KAURESoQKPiJy0Nx9DfB54H5gLVCsOe7/BPx94W4cH3f354E/I7+I4g7greQXdEyP2uf75BdcXAe8CFw3Tvy5wr7zyS8KuYn82gAApwGPmlkf8FPgGndfV4yDExERKTXKAURESoe57z1aUkSkNJnZeuB97n5/2LGIiIjIxFEOICKyL43wERERERERERGJGC3aLCKhMbPZwKr9vHycu7dNZDwiIiIyMZQDiIgUn6Z0iYiIiIiIiIhEjKZ0iYiIiIiIiIhEjAo+IiIiIiIiIiIRo4KPiIiIiIiIiEjEqOAjIiIiIiIiIhIxKviIiIiIiIiIiETM/wM3pb3iXfLZVgAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 1153.38x720 with 4 Axes>"
       ]
      },
      "metadata": {
       "needs_background": "light"
      },
      "output_type": "display_data"
     }
    ],
    "source": [
     "sns.catplot(x='num_topics',\n",
     "            y='perplexity',\n",
     "            data=perplexity,\n",
     "            hue='vocab_size',\n",
     "            col='binary',\n",
     "            row='passes',\n",
     "            kind='strip',\n",
     "           aspect=1.5);"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 251,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T20:58:29.121617Z",
      "start_time": "2018-12-03T20:58:29.116180Z"
     }
    },
    "outputs": [],
    "source": [
     "coherence.num_topics = coherence.num_topics.apply(lambda x: f'model_{int(x):0>2}')\n",
     "perplexity.min_df = perplexity.min_df.apply(lambda x: f'min_df_{int(x):0>3}')"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Hyperparameter Impact on Topic Coherence"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "The following chart illustrate the results in terms of topic coherence (higher is better) ,and perplexity (lower is better). Coherence drops after 25-30 topics, and perplexity similarly increases. "
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 256,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-03T21:03:59.115501Z",
      "start_time": "2018-12-03T21:03:56.649109Z"
     }
    },
    "outputs": [
     {
      "data": {
       "image/png": 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\n",
       "text/plain": [
        "<Figure size 1152x360 with 2 Axes>"
       ]
      },
      "metadata": {
       "needs_background": "light"
      },
      "output_type": "display_data"
     }
    ],
    "source": [
     "fig, axes = plt.subplots(ncols=2, figsize=(16,5))\n",
     "data = coherence.sort_values('num_topics')\n",
     "sns.lineplot(x='topic', y='coherence', hue='num_topics', data=data, lw=2, ax=axes[0])\n",
     "axes[0].set_title('Topic Coherence')\n",
     "sns.stripplot(x='num_topics', y='perplexity', hue='vocab_size', data=perplexity, lw=2, ax=axes[1])\n",
     "axes[1].set_title('Perplexity')\n",
     "fig.tight_layout()\n",
     "fig.savefig('earnings_call_model_eval', dpi=300);"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Load Experiment"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "The following code let's you load and explore the topic model for a specific experiment run."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Load Document-Term Matrix"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 190,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T00:18:26.569584Z",
      "start_time": "2018-12-04T00:18:26.562431Z"
     }
    },
    "outputs": [],
    "source": [
     "max_df = .1    # [.1, .25, .5, 1.0]\n",
     "min_df = 250   # [50, 100, 250, 500]\n",
     "binary= False  # [True, False]"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 191,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T00:18:26.889185Z",
      "start_time": "2018-12-04T00:18:26.861465Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "(22766, 748)"
       ]
      },
      "execution_count": 191,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "vocab_path = experiment_path / str(min_df) / str(max_df) / str(int(binary))\n",
     "exp_dtm = sparse.load_npz(vocab_path / f'dtm.npz')\n",
     "exp_tokens = pd.read_csv(vocab_path / f'tokens.csv', header=None, squeeze=True)\n",
     "exp_dtm.shape"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 192,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T00:18:27.363103Z",
      "start_time": "2018-12-04T00:18:27.059589Z"
     }
    },
    "outputs": [],
    "source": [
     "exp_id2word = exp_tokens.to_dict()\n",
     "exp_corpus = Sparse2Corpus(exp_dtm, documents_columns=False)\n",
     "exp_dictionary = Dictionary.from_corpus(exp_corpus, exp_id2word)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 193,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T00:18:27.375872Z",
      "start_time": "2018-12-04T00:18:27.364981Z"
     }
    },
    "outputs": [],
    "source": [
     "exp_train_dtm, exp_test_dtm = train_test_split(exp_dtm, test_size=.1)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 194,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T00:18:27.380261Z",
      "start_time": "2018-12-04T00:18:27.377316Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "<2277x748 sparse matrix of type '<class 'numpy.int64'>'\n",
        "\twith 49568 stored elements in Compressed Sparse Row format>"
       ]
      },
      "execution_count": 194,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "exp_test_dtm"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 195,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T00:18:27.506086Z",
      "start_time": "2018-12-04T00:18:27.501717Z"
     }
    },
    "outputs": [],
    "source": [
     "exp_test_corpus = Sparse2Corpus(exp_test_dtm, documents_columns=False)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Set Model Parameters"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 196,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T00:18:29.114267Z",
      "start_time": "2018-12-04T00:18:29.112303Z"
     }
    },
    "outputs": [],
    "source": [
     "num_topics = 20 # [3, 5, 7, 10, 15, 20, 25, 50]\n",
     "passes = 25    # [1, 25]"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 197,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T00:18:29.230900Z",
      "start_time": "2018-12-04T00:18:29.227392Z"
     }
    },
    "outputs": [],
    "source": [
     "exp_model_path = vocab_path / str(num_topics) / str(passes)\n",
     "exp_lda = LdaModel.load(str(exp_model_path / 'lda'))"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 198,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T00:18:30.140437Z",
      "start_time": "2018-12-04T00:18:29.386158Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "84.52873752805492"
       ]
      },
      "execution_count": 198,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "2 ** (-exp_lda.log_perplexity(exp_test_corpus))"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 200,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T00:18:31.517871Z",
      "start_time": "2018-12-04T00:18:30.297748Z"
     }
    },
    "outputs": [
     {
      "data": {
       "image/png": 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\n",
       "text/plain": [
        "<Figure size 1728x360 with 1 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "show_word_list(model=exp_lda, corpus=exp_corpus)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 201,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T00:18:33.573538Z",
      "start_time": "2018-12-04T00:18:32.484227Z"
     }
    },
    "outputs": [
     {
      "data": {
       "image/png": 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\n",
       "text/plain": [
        "<Figure size 1080x360 with 2 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "show_coherence(model=exp_lda, corpus=exp_corpus, tokens=exp_tokens)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 202,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T00:18:39.285345Z",
      "start_time": "2018-12-04T00:18:34.031896Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/html": [
        "\n",
        "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.css\">\n",
        "\n",
        "\n",
        "<div id=\"ldavis_el151811399942111066325134737512\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "\n",
        "var ldavis_el151811399942111066325134737512_data = {\"mdsDat\": {\"Freq\": [16.065258026123047, 8.105361938476562, 8.096829414367676, 6.213428020477295, 6.121941566467285, 5.5870041847229, 5.227149963378906, 4.834684371948242, 4.512080192565918, 4.3393988609313965, 4.067758083343506, 4.049807548522949, 3.8706791400909424, 3.6885886192321777, 3.063410758972168, 2.9157912731170654, 2.879380226135254, 2.2003536224365234, 2.1163980960845947, 2.044696092605591], \"cluster\": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], \"topics\": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], \"x\": [-78.96812438964844, 81.01388549804688, 24.50369644165039, 78.77104949951172, -6.062314033508301, -87.38382720947266, 45.95654296875, 132.0821075439453, 19.035783767700195, -43.40304183959961, 33.440635681152344, 28.094680786132812, 81.70374298095703, 75.45390319824219, -21.947261810302734, -73.39754486083984, -18.735153198242188, -31.8118896484375, 122.8377456665039, 136.44345092773438], \"y\": [41.67723846435547, -96.86426544189453, -5.760819435119629, 12.027124404907227, 48.323455810546875, -20.048540115356445, 50.78590393066406, -66.37954711914062, 108.01533508300781, 94.0142822265625, -129.8181610107422, -62.67685317993164, 98.14977264404297, -38.593936920166016, -45.8342170715332, -80.02892303466797, -104.88199615478516, 4.159320831298828, 52.306983947753906, -6.87772798538208]}, \"tinfo\": {\"Category\": [\"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", 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\"may\", \"may\", \"may\", \"may\", \"maybe\", \"maybe\", \"maybe\", \"mean\", \"mean\", \"mean\", \"mean\", \"mean\", \"mean\", \"mean\", \"mean\", \"measure\", \"measure\", \"measure\", \"measure\", \"measure\", \"measure\", \"medium\", \"medium\", \"medium\", \"medium\", \"medium\", \"medium\", \"member\", \"member\", \"mention\", \"mention\", \"mention\", \"mention\", \"mention\", \"mention\", \"mention\", \"mention\", \"mention\", \"mention\", \"mention\", \"mention\", \"mention\", \"mention\", \"mention\", \"mention\", \"mention\", \"mid\", \"mid\", \"mid\", \"mike\", \"mike\", \"mike\", \"mike\", \"mike\", \"mix\", \"mix\", \"mix\", \"mix\", \"mix\", \"mix\", \"mix\", \"mix\", \"mix\", \"model\", \"model\", \"model\", \"model\", \"model\", \"model\", \"model\", \"model\", \"model\", \"momentum\", \"momentum\", \"momentum\", \"money\", \"month\", \"month\", \"month\", \"month\", \"month\", \"month\", \"month\", \"month\", \"month\", \"month\", \"morning\", \"morning\", \"morning\", \"morning\", \"morning\", \"morning\", \"multiple\", \"multiple\", \"multiple\", \"multiple\", \"multiple\", \"multiple\", \"nearly\", \"nearly\", \"nearly\", \"nearly\", \"nearly\", \"need\", \"need\", \"need\", \"need\", \"need\", \"need\", \"need\", \"need\", \"need\", \"need\", \"negative\", \"negative\", \"negative\", \"negative\", \"negative\", \"negative\", \"negative\", \"net\", \"net\", \"net\", \"net\", \"network\", \"network\", \"network\", \"network\", \"network\", \"news\", \"news\", \"news\", \"news\", \"nice\", \"nice\", \"nice\", \"nice\", \"nice\", \"no\", \"non\", \"non\", \"non\", \"non\", \"non\", \"normal\", \"normal\", \"normal\", \"normal\", \"normal\", \"normal\", \"normal\", \"normal\", \"north\", \"north\", \"north\", \"north\", \"obligation\", \"obligation\", \"obviously\", \"obviously\", \"obviously\", \"october\", \"october\", \"october\", \"october\", \"october\", \"october\", \"offer\", \"offer\", \"offer\", \"offer\", \"offer\", \"offering\", \"offering\", \"offering\", \"offering\", \"officer\", \"officer\", \"offset\", \"offset\", \"offset\", \"offset\", \"on\", \"on\", \"on\", \"on\", \"on\", \"on\", \"on\", \"on\", \"on\", \"on\", \"on\", \"on\", \"on\", \"on\", \"on\", \"on\", \"on\", \"one\", \"one\", \"one\", \"one\", \"one\", \"one\", \"one\", \"one\", \"one\", \"online\", \"online\", \"online\", \"open\", \"open\", \"open\", \"open\", \"open\", \"open\", \"open\", \"open\", \"open\", \"open\", \"operate\", \"operate\", \"operate\", \"operate\", \"operate\", \"operate\", \"operate\", \"operate\", \"operate\", \"operate\", \"operating\", \"operating\", \"operating\", \"operating\", \"operating\", \"operating\", \"operation\", \"operation\", \"operation\", \"operation\", \"operation\", \"operation\", \"operation\", \"operation\", \"operational\", \"operational\", \"operational\", \"operational\", \"operational\", \"operator\", \"operator\", \"operator\", \"operator\", \"opportunity\", \"opportunity\", \"opportunity\", \"opportunity\", \"opportunity\", \"opportunity\", \"opportunity\", \"opportunity\", \"opportunity\", \"opportunity\", \"option\", \"option\", \"option\", \"option\", \"option\", \"option\", \"option\", \"option\", \"option\", \"or\", \"order\", \"order\", \"order\", \"order\", \"order\", \"order\", \"order\", \"organic\", \"organic\", \"organization\", \"organization\", \"organization\", \"organization\", \"outlook\", \"outlook\", \"outlook\", \"outlook\", \"outlook\", \"outlook\", \"outlook\", \"outlook\", \"outlook\", \"outstanding\", \"outstanding\", \"outstanding\", \"outstanding\", \"outstanding\", \"overall\", \"overall\", \"overall\", \"overall\", \"overall\", \"overall\", \"overall\", \"overall\", \"overall\", \"pace\", \"pace\", \"pace\", \"pace\", \"pace\", \"part\", \"part\", \"part\", \"part\", \"part\", \"part\", \"part\", \"part\", \"partner\", \"partner\", \"partner\", \"partner\", \"partner\", \"partner\", \"partnership\", \"partnership\", \"partnership\", \"partnership\", \"partnership\", \"party\", \"party\", \"party\", \"party\", \"party\", \"party\", \"party\", \"party\", \"party\", \"pass\", \"pass\", \"pass\", \"pass\", \"pass\", \"pass\", \"pass\", \"patient\", \"pay\", \"pay\", \"pay\", \"pay\", \"pay\", \"pay\", \"pay\", \"pay\", \"payment\", \"payment\", \"payment\", \"payment\", \"payment\", \"payment\", \"people\", \"people\", \"people\", \"people\", \"percentage\", \"percentage\", \"percentage\", \"percentage\", \"percentage\", \"percentage\", \"percentage\", \"percentage\", \"percentage\", \"percentage\", \"perform\", \"perform\", \"perform\", \"perform\", \"perform\", \"perform\", \"perform\", \"perform\", \"perform\", \"performance\", \"performance\", \"performance\", \"performance\", \"performance\", \"performance\", \"performance\", \"performance\", \"performance\", \"performance\", \"performance\", \"period\", \"period\", \"period\", \"period\", \"period\", \"period\", \"period\", \"period\", \"period\", \"period\", \"period\", \"period\", \"perspective\", \"perspective\", \"perspective\", \"perspective\", \"perspective\", \"perspective\", \"perspective\", \"perspective\", \"perspective\", \"perspective\", \"perspective\", \"perspective\", \"perspective\", \"ph\", \"ph\", \"ph\", \"ph\", \"ph\", \"ph\", \"ph\", \"ph\", \"ph\", \"ph\", \"ph\", \"phase\", \"phase\", \"pick\", \"pick\", \"pick\", \"pick\", \"pick\", \"pick\", \"pick\", \"piece\", \"piece\", \"piece\", \"piece\", \"pipeline\", \"pipeline\", \"pipeline\", \"pipeline\", \"pipeline\", \"pipeline\", \"place\", \"place\", \"place\", \"place\", \"place\", \"place\", \"place\", \"place\", \"place\", \"place\", \"plan\", \"plan\", \"plan\", \"plan\", \"plan\", \"plan\", \"plan\", \"plan\", \"plan\", \"plan\", \"plan\", \"plan\", \"plan\", \"plan\", \"plan\", \"platform\", \"platform\", \"platform\", \"platform\", \"platform\", \"play\", \"play\", \"play\", \"play\", \"play\", \"play\", \"please\", \"please\", \"please\", \"please\", \"please\", \"pleased\", \"pleased\", \"pleased\", \"pleased\", \"pleased\", \"pleased\", \"pleased\", \"pleased\", \"portfolio\", \"portfolio\", \"portfolio\", \"portfolio\", \"portion\", \"portion\", \"portion\", \"portion\", \"portion\", \"portion\", \"portion\", \"portion\", \"portion\", \"portion\", \"position\", \"position\", \"position\", \"position\", \"position\", \"position\", \"position\", \"position\", \"position\", \"position\", \"position\", \"position\", \"positive\", \"positive\", \"positive\", \"positive\", \"positive\", \"positive\", \"positive\", \"positive\", \"positive\", \"positive\", \"positive\", \"potential\", \"potential\", \"potential\", \"potential\", \"potential\", \"potential\", \"potential\", \"potentially\", \"potentially\", \"potentially\", \"potentially\", \"potentially\", \"potentially\", \"potentially\", \"power\", \"power\", \"power\", \"power\", \"power\", \"prepared\", \"prepared\", \"prepared\", \"prepared\", \"prepared\", \"present\", \"present\", \"present\", \"present\", \"present\", \"present\", \"present\", \"present\", \"presentation\", \"presentation\", \"presentation\", \"presentation\", \"presentation\", \"president\", \"president\", \"press\", \"press\", \"pressure\", \"pressure\", \"pressure\", \"pretty\", \"pretty\", \"previously\", \"previously\", \"previously\", \"previously\", \"previously\", \"previously\", \"previously\", \"previously\", \"previously\", \"price\", \"price\", \"price\", \"price\", \"pricing\", \"pricing\", \"pricing\", \"pricing\", \"primarily\", \"primarily\", \"primarily\", \"primarily\", \"primarily\", \"primarily\", \"primarily\", \"primarily\", \"primarily\", \"prior\", \"prior\", \"prior\", \"prior\", \"prior\", \"prior\", \"prior\", \"prior\", \"priority\", \"priority\", \"priority\", \"priority\", \"private\", \"private\", \"private\", \"private\", \"probably\", \"probably\", \"probably\", \"probably\", \"proceed\", \"proceed\", \"proceed\", \"proceed\", \"proceed\", \"process\", \"process\", \"process\", \"process\", \"process\", \"process\", \"process\", \"process\", \"process\", \"produce\", \"produce\", \"produce\", \"produce\", \"produce\", \"produce\", \"production\", \"productivity\", \"productivity\", \"productivity\", \"profile\", \"profile\", \"profile\", \"profile\", \"profile\", \"profile\", \"profile\", \"profit\", \"profit\", \"profit\", \"profit\", \"profitability\", \"profitability\", \"profitability\", \"profitability\", \"profitability\", \"profitability\", \"profitable\", \"profitable\", \"profitable\", \"profitable\", \"profitable\", \"program\", \"program\", \"program\", \"program\", \"progress\", \"progress\", \"progress\", \"progress\", \"progress\", \"progress\", \"progress\", \"project\", \"project\", \"project\", \"project\", \"project\", \"provide\", \"provide\", \"provide\", \"provide\", \"provide\", \"provide\", \"provide\", \"provide\", \"provide\", \"provide\", \"provide\", \"provide\", \"provide\", \"provide\", \"provide\", \"provide\", \"provider\", \"provider\", \"provider\", \"public\", \"public\", \"public\", \"public\", \"public\", \"public\", \"put\", \"put\", \"put\", \"put\", \"put\", \"put\", \"put\", \"put\", \"put\", \"put\", \"quality\", \"quality\", \"quality\", \"quality\", \"quality\", \"quality\", \"quarterly\", \"quarterly\", \"quarterly\", \"quarterly\", \"quarterly\", \"quarterly\", \"quarterly\", \"quick\", \"quick\", \"quick\", \"raise\", \"raise\", \"raise\", \"raise\", \"raise\", \"raise\", \"raise\", \"raise\", \"ramp\", \"ramp\", \"ramp\", \"ramp\", \"range\", \"range\", \"range\", \"range\", \"range\", \"range\", \"range\", \"range\", \"rate\", \"rate\", \"rate\", \"rate\", \"rate\", \"rate\", \"rate\", \"rate\", \"rate\", \"ratio\", \"ratio\", \"ratio\", \"ready\", \"ready\", \"ready\", \"ready\", \"ready\", \"ready\", \"ready\", \"real\", \"real\", \"real\", \"real\", \"real\", \"real\", \"reason\", \"reason\", \"reason\", \"reason\", \"reason\", \"reason\", \"reason\", \"reason\", \"reason\", \"reason\", \"receive\", \"receive\", \"receive\", \"receive\", \"receive\", \"receive\", \"receive\", \"record\", \"record\", \"record\", \"record\", \"record\", \"record\", \"record\", \"record\", \"record\", \"reduce\", \"reduce\", \"reduce\", \"reduce\", \"reduce\", \"reduce\", \"reduce\", \"reduce\", \"reduce\", \"reduce\", \"reduce\", \"reduction\", \"reduction\", \"reduction\", \"reduction\", \"reduction\", \"reduction\", \"reduction\", \"refer\", \"refer\", \"refer\", \"refer\", \"refer\", \"refer\", \"reflect\", \"reflect\", \"reflect\", \"reflect\", \"reflect\", \"reflect\", \"reflect\", \"reflect\", \"reflect\", \"reform\", \"reform\", \"region\", \"region\", \"region\", \"region\", \"region\", \"region\", \"region\", \"regulatory\", \"regulatory\", \"regulatory\", \"regulatory\", \"relate\", \"relate\", \"relate\", \"relate\", \"relate\", \"relate\", \"relate\", \"relate\", \"relate\", \"relate\", \"relate\", \"relate\", \"relate\", \"relate\", \"relate\", \"relative\", \"relative\", \"relative\", \"relative\", \"relative\", \"relative\", \"relative\", \"relative\", \"relative\", \"relatively\", \"relatively\", \"relatively\", \"relatively\", \"relatively\", \"relatively\", \"relatively\", \"relatively\", \"relatively\", \"relatively\", \"release\", \"release\", \"release\", \"release\", \"release\", \"release\", \"release\", \"remain\", \"remain\", \"remain\", \"remain\", \"remain\", \"remain\", \"remain\", \"remain\", \"remain\", \"remain\", \"remark\", \"remark\", \"remark\", \"remark\", \"remark\", \"remember\", \"remember\", \"remember\", \"remember\", \"remember\", \"remember\", \"remember\", \"remember\", \"report\", \"report\", \"report\", \"report\", \"report\", \"report\", \"report\", \"report\", \"report\", \"report\", \"report\", \"represent\", \"represent\", \"represent\", \"represent\", \"represent\", \"represent\", \"represent\", \"represent\", \"research\", \"research\", \"research\", \"research\", \"resource\", \"resource\", \"resource\", \"resource\", \"resource\", \"resource\", \"response\", \"response\", \"response\", \"response\", \"response\", \"response\", \"response\", \"response\", \"rest\", \"rest\", \"rest\", \"rest\", \"rest\", \"rest\", \"rest\", \"rest\", \"rest\", \"rest\", \"retail\", \"retail\", \"retail\", \"return\", \"return\", \"return\", \"return\", \"rise\", \"rise\", \"rise\", \"rise\", \"rise\", \"rise\", \"rise\", \"risk\", \"risk\", \"risk\", \"risk\", \"risk\", \"robust\", \"robust\", \"robust\", \"robust\", \"robust\", \"robust\", \"robust\", \"role\", \"role\", \"roll\", \"roll\", \"roll\", \"roll\", \"roll\", \"roll\", \"roughly\", \"roughly\", \"roughly\", \"roughly\", \"roughly\", \"roughly\", \"roughly\", \"run\", \"run\", \"run\", \"run\", \"run\", \"run\", \"run\", \"run\", \"run\", \"run\", \"saving\", \"saving\", \"saving\", \"say\", \"say\", \"say\", \"say\", \"say\", \"say\", \"say\", \"say\", \"say\", \"say\", \"scale\", \"scale\", \"scale\", \"scale\", \"scale\", \"scale\", \"scale\", \"scale\", \"schedule\", \"schedule\", \"schedule\", \"schedule\", \"schedule\", \"season\", \"season\", \"season\", \"season\", \"sec\", \"secondly\", \"secondly\", \"secondly\", \"secondly\", \"secondly\", \"secondly\", \"secondly\", \"secondly\", \"sector\", \"sector\", \"sector\", \"sector\", \"sector\", \"security\", \"security\", \"security\", \"security\", \"security\", \"segment\", \"segment\", \"segment\", \"segment\", \"segment\", \"segment\", \"segment\", \"segment\", \"sell\", \"sell\", \"sell\", \"sell\", \"sell\", \"sell\", \"sell\", \"sell\", \"sell\", \"sense\", \"sense\", \"sense\", \"sense\", \"sense\", \"sense\", \"september\", \"september\", \"september\", \"september\", \"september\", \"september\", \"service\", \"service\", \"service\", \"service\", \"service\", \"service\", \"share\", \"share\", \"share\", \"share\", \"share\", \"share\", \"share\", \"share\", \"share\", \"share\", \"share\", \"shareholder\", \"shareholder\", \"shareholder\", \"shareholder\", \"sheet\", \"sheet\", \"shift\", \"shift\", \"shift\", \"shift\", \"shift\", \"shift\", \"shift\", \"shift\", \"shift\", \"shift\", \"ship\", \"ship\", \"sign\", \"sign\", \"sign\", \"sign\", \"sign\", \"significant\", \"significant\", \"significant\", \"significant\", \"significant\", \"significant\", \"significant\", \"significant\", \"significant\", \"significant\", \"significant\", \"significant\", \"significant\", \"significant\", \"single\", \"single\", \"single\", \"single\", \"single\", \"single\", \"site\", \"site\", \"site\", \"site\", \"site\", \"situation\", \"situation\", \"situation\", \"situation\", \"situation\", \"situation\", \"situation\", \"size\", \"size\", \"size\", \"size\", \"size\", \"size\", \"size\", \"size\", \"size\", \"size\", \"slide\", \"slide\", \"slide\", \"slide\", \"slide\", \"slightly\", \"slightly\", \"slightly\", \"slightly\", \"slightly\", \"slightly\", \"slightly\", \"slightly\", \"slow\", \"slow\", \"slow\", \"slow\", \"slow\", \"slow\", \"slow\", \"small\", \"small\", \"small\", \"small\", \"small\", \"small\", \"small\", \"small\", \"small\", \"small\", \"small\", \"software\", \"software\", \"solid\", \"solid\", \"solid\", \"solid\", \"solid\", \"solid\", \"solid\", \"solution\", \"solution\", \"sorry\", \"sorry\", \"sorry\", \"sorry\", \"sort\", \"sort\", \"sort\", \"sound\", \"sound\", \"space\", \"space\", \"space\", \"space\", \"space\", \"speak\", \"speak\", \"speak\", \"speak\", \"speak\", \"speak\", \"speak\", \"speak\", \"speak\", \"spend\", \"spend\", \"spend\", \"spend\", \"spend\", \"spend\", \"stable\", \"stable\", \"stable\", \"stable\", \"stable\", \"stable\", \"stable\", \"stable\", \"stable\", \"stage\", \"stage\", \"stage\", \"stage\", \"stage\", \"stage\", \"stand\", \"stand\", \"stand\", \"stand\", \"stand\", \"stand\", \"stand\", \"stand\", \"standard\", \"standard\", \"standard\", \"standard\", \"standard\", \"standard\", \"standard\", \"standpoint\", \"standpoint\", \"standpoint\", \"standpoint\", \"standpoint\", \"standpoint\", \"state\", \"state\", \"state\", \"state\", \"state\", \"state\", \"state\", \"state\", \"statement\", \"statement\", \"statement\", \"stock\", \"stock\", \"stock\", \"store\", \"strategic\", \"strategic\", \"strategic\", \"strategic\", \"strategy\", \"strategy\", \"strategy\", \"strategy\", \"strategy\", \"strategy\", \"strategy\", \"strategy\", \"strategy\", \"strengthen\", \"strengthen\", \"strengthen\", \"strengthen\", \"strong\", \"strong\", \"strong\", \"strong\", \"strong\", \"strong\", \"strong\", \"strong\", \"structure\", \"structure\", \"structure\", \"structure\", \"structure\", \"study\", \"subject\", \"subject\", \"subject\", \"summary\", \"summary\", \"summary\", \"summary\", \"summary\", \"supply\", \"supply\", \"supply\", \"support\", \"support\", \"support\", \"support\", \"support\", \"support\", \"support\", \"support\", \"support\", \"support\", \"support\", \"support\", \"sure\", \"sure\", \"sure\", \"sure\", \"sustainable\", \"sustainable\", \"sustainable\", \"sustainable\", \"sustainable\", \"synergy\", \"synergy\", \"synergy\", \"system\", \"system\", \"system\", \"system\", \"system\", \"system\", \"take\", \"take\", \"take\", \"take\", \"take\", \"take\", \"take\", \"take\", \"take\", \"take\", \"take\", \"take\", \"take\", \"take\", \"target\", \"target\", \"target\", \"target\", \"target\", \"target\", \"target\", \"target\", \"target\", \"target\", \"tax\", \"tax\", \"team\", \"team\", \"team\", \"team\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tend\", \"tend\", \"tend\", \"tend\", \"tend\", \"test\", \"test\", \"test\", \"that\", \"that\", \"that\", \"that\", \"that\", \"that\", \"that\", \"that\", \"that\", \"that\", \"that\", \"that\", \"there\", \"there\", \"there\", \"there\", \"there\", \"there\", \"there\", \"there\", \"there\", \"this\", \"this\", \"this\", \"this\", \"this\", \"this\", \"this\", \"this\", \"this\", \"this\", \"this\", \"this\", \"this\", \"this\", \"this\", \"this\", \"thought\", \"thought\", \"timing\", \"timing\", \"timing\", \"timing\", \"timing\", \"timing\", \"timing\", \"timing\", \"timing\", \"timing\", \"today\", \"today\", \"today\", \"today\", \"today\", \"today\", \"today\", \"today\", \"today\", \"tool\", \"tool\", \"tool\", \"total\", \"total\", \"total\", \"total\", \"total\", \"total\", \"total\", \"total\", \"total\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trial\", \"try\", \"try\", \"try\", \"try\", \"try\", \"turn\", \"turn\", \"turn\", \"turn\", \"turn\", \"turn\", \"turn\", \"turn\", \"turn\", \"turn\", \"turn\", \"turn\", \"typically\", \"typically\", \"typically\", \"typically\", \"typically\", \"typically\", \"typically\", \"typically\", \"typically\", \"typically\", \"uncertainty\", \"uncertainty\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"unique\", \"unique\", \"unique\", \"unique\", \"unique\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"user\", \"user\", \"user\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"way\", \"way\", \"way\", \"way\", \"way\", \"way\", \"way\", \"way\", \"way\", \"way\", \"way\", \"way\", \"weather\", \"website\", \"website\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"welcome\", \"welcome\", \"welcome\", \"well\", \"well\", \"well\", \"well\", \"what\", \"what\", \"what\", \"what\", \"while\", \"while\", \"while\", \"while\", \"while\", \"will\", \"will\", \"will\", \"win\", \"win\", \"win\", \"win\", \"win\", \"wonder\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"yeah\"]}, \"R\": 30, \"lambda.step\": 0.01, \"plot.opts\": {\"xlab\": \"PC1\", \"ylab\": \"PC2\"}, \"topic.order\": [7, 10, 14, 2, 6, 3, 16, 1, 9, 17, 19, 4, 18, 8, 15, 11, 5, 20, 12, 13]};\n",
        "\n",
        "function LDAvis_load_lib(url, callback){\n",
        "  var s = document.createElement('script');\n",
        "  s.src = url;\n",
        "  s.async = true;\n",
        "  s.onreadystatechange = s.onload = callback;\n",
        "  s.onerror = function(){console.warn(\"failed to load library \" + url);};\n",
        "  document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
        "}\n",
        "\n",
        "if(typeof(LDAvis) !== \"undefined\"){\n",
        "   // already loaded: just create the visualization\n",
        "   !function(LDAvis){\n",
        "       new LDAvis(\"#\" + \"ldavis_el151811399942111066325134737512\", ldavis_el151811399942111066325134737512_data);\n",
        "   }(LDAvis);\n",
        "}else if(typeof define === \"function\" && define.amd){\n",
        "   // require.js is available: use it to load d3/LDAvis\n",
        "   require.config({paths: {d3: \"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min\"}});\n",
        "   require([\"d3\"], function(d3){\n",
        "      window.d3 = d3;\n",
        "      LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.js\", function(){\n",
        "        new LDAvis(\"#\" + \"ldavis_el151811399942111066325134737512\", ldavis_el151811399942111066325134737512_data);\n",
        "      });\n",
        "    });\n",
        "}else{\n",
        "    // require.js not available: dynamically load d3 & LDAvis\n",
        "    LDAvis_load_lib(\"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js\", function(){\n",
        "         LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.js\", function(){\n",
        "                 new LDAvis(\"#\" + \"ldavis_el151811399942111066325134737512\", ldavis_el151811399942111066325134737512_data);\n",
        "            })\n",
        "         });\n",
        "}\n",
        "</script>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
       ]
      },
      "execution_count": 202,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "exp_vis = prepare(exp_lda, exp_corpus, exp_dictionary, mds='tsne')\n",
     "pyLDAvis.display(exp_vis)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Review Documents by Topic"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 209,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T00:21:06.102313Z",
      "start_time": "2018-12-04T00:21:06.077118Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "22745"
       ]
      },
      "execution_count": 209,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "exp_docs = []\n",
     "for line in clean_text.read_text().split('\\n'):\n",
     "        exp_docs.append(line)\n",
     "len(exp_docs)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 207,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T00:20:45.052865Z",
      "start_time": "2018-12-04T00:20:21.883258Z"
     }
    },
    "outputs": [],
    "source": [
     "doc_topics = exp_lda.get_document_topics(exp_corpus)\n",
     "df = pd.concat([pd.DataFrame(doc_topic, columns=['topicid', 'weight']).assign(doc=i) for i, doc_topic in enumerate(doc_topics)])"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 210,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T00:21:08.028301Z",
      "start_time": "2018-12-04T00:21:07.959070Z"
     }
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "0 no real update give time continue different clinical program hifu application so track update give far\n",
       "            0    1\n",
       "0     project 0.05\n",
       "1  production 0.03\n",
       "2      demand 0.03\n",
       "3    capacity 0.02\n",
       "4       order 0.02\n",
       "5       fleet 0.02\n",
       "6        cost 0.02\n",
       "7        fuel 0.02\n",
       "8       slide 0.02\n",
       "9    facility 0.02\n",
       "1 okay understand and second question multipart hopefully quick the ballast water treatment mention coast guard approval think important can feeling timing so schedule far number ship year what hire time associate ship fitting ballast water treatment system cost ship and cost expense amortize\n",
       "            0    1\n",
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       "2 thank\n",
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       "3 thank nick as mention outset prepared remark want spend minute look ahead rest fiscal year aware run rate basis substantially ahead guidance give april quarter performance contain time revenue contribution increase quarterly revenue state quarter experience revenue attrition approximately million equate begin revenue run rate approximately million year for project slow pace attrition equate revenue base approximately million starting point base timing revenue attrition occur project quarter low revenue quarter fiscal year begin improvement quarterly revenue go forward base contribution expect realize evaluator include sale book month continue forecast total annual revenue million million fiscal year adjust ebitda contribution approximately million million that conclude prepared remark turn operator want thank streamline health associate continue hard work dedication client shareholder turn operator session operator\n",
       "               0    1\n",
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       "4 think traffic drive initiative business customer initiative pilot seven store msa central california early quarter roll store think help drive traffic business customer specifically household traffic tell main focus initiative nielsen analytic pricing promotion in addition think make good traction customer service talk shopping experience store think good wait time good stock think industry lead think quarter stock actually smart final banner strong stock think build ticket think build traffic rely item exactly customer look so think combination thing and course cycle promotional activity start quarter help stabilize let begin grow traffic\n",
       "           0    1\n",
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       "5 so project talk eau du soleil toronto the total award million ship ship fiscal large project project architecturally specify building product so necessarily look uptick total sale help solidify expect fiscal business\n",
       "         0    1\n",
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       "4   impact 0.02\n",
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       "6  earning 0.02\n",
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       "8   income 0.02\n",
       "9      low 0.02\n",
       "6 okay thank yunlong impressive result quarter so question briefly asset zmn global education so possible share month quarter quarter trajectory asset understand quarter second quarter asset actually improve pretty especially line growth sale expense so possible share bit color asset perform quarter outlook year\n",
       "             0    1\n",
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       "9      believe 0.01\n",
       "7 and continue able expand add new product delta activewear season get good response digital print customer so product line continue expand capability able increase delta product go digital print business\n",
       "            0    1\n",
       "0       brand 0.10\n",
       "1     channel 0.04\n",
       "2    consumer 0.04\n",
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       "4      launch 0.03\n",
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       "6    commerce 0.02\n",
       "7   marketing 0.02\n",
       "8     digital 0.02\n",
       "9  experience 0.02\n",
       "8 think early year expect able start talk tumor type work continue work additional pathway breast cancer pathway particular tumor type identify new subtype lead potential drug program instance program hop place c met combination significantly expand range alternative think base current research opportunity potentially increase number pathway study breast cancer proceed number front identify new patient population exist tissue type new tissue type\n",
       "             0    1\n",
       "0      patient 0.04\n",
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       "7         test 0.01\n",
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       "9 so term revenue growth quarter quarter launch car txpress platform so think contribute new account perspective growth quarter historical revenue grow start expand new account jeff comment\n",
       "               0    1\n",
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       "2            net 0.04\n",
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       "4         period 0.03\n",
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       "6            non 0.02\n",
       "7           loss 0.02\n",
       "8  approximately 0.02\n",
       "9       decrease 0.02\n",
       "10 and follow comment broker channel say see increase emphasize past wonder look forward expect rely broker channel remain year\n",
       "            0    1\n",
       "0       china 0.05\n",
       "1       asset 0.05\n",
       "2        loan 0.04\n",
       "3   portfolio 0.04\n",
       "4      credit 0.03\n",
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       "6  investment 0.03\n",
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       "8      client 0.02\n",
       "9  management 0.02\n",
       "11 yes think right way look right way look\n",
       "            0    1\n",
       "0        team 0.09\n",
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       "12 thank operator want welcome earning conference today in addition wang jingbo chairlady ceo noah cfo shang participate for today agenda briefly summarize noah overall performance quarter development core wealth management asset management business chairlady wang provide current view overall market regulatory environment product strategy cfo shang follow detailed discussion noah quarter financial performance conclude question answer session as enter second half market sentiment remain volatile in trade dispute stringent financial regulatory reform de leveraging investment appetite substantially reduce despite clear policy signal include tax cut encouragement private enterprise development continue open door policy market confidence fragile during transitional period chinese company undergo brutal ph test market this true china wealth asset management industry as lead firm noah continue focus provide high quality service create value client improve risk management core competency maintain sustainable growth prepare challenge face in quarter company business grow steadily perform board in quarter non gaap net income attributable shareholder year year million year year million quarter the group net revenue quarter billion year year in wealth management segment raise billion financial product quarter transaction value quarter year year pleased achieve financial performance challenging environment in wealth management business demand professional wealth management service china strong recruit suitable talent foster steady development particularly important period as end quarter frontline cover city country number relationship manager increase year year in order grow client enhance ability provide comprehensive service noah continue host depth investor education event since beginning year hold hundred event noah company visit small investment session depth client meeting for ultra high net worth client provide customize service activity closed session senior management tailor trust planning service private event black card client through detailed analysis client profile relationship black card client truly drive company enhancement service pure financial product sale for exist client focus heavily improvement post investment service periodic fund performance report comprehensively systemize templat concise easy client read retrieve online fund update information communicate client voice app relationship manager add enhanced human touch integrate client service resource new client operation center in addition exist client service hotline add ai support customer service assistance actively reach exist client better understand need during past month client operation center host op conference gopher externally manage fund believe initiative help relationship manager provide professional post investment service client plan organized manner furthermore research work revamp noah research team lot systematic professional in quarter research team provide training session frontline professional cover fund manager different asset class publish internal external research report conduct interview domestic international medium a substantial number medium online platform cite research result brand reputation market influence noah research firmly establish active user noah research online channel increase month asset management business grow healthily as end quarter gopher total asset management reach billion increase year year break asset class aum private equity investment increase year year reach billion account total asset management the aum credit real estate secondary market equity discretionary management respectively account total asset management with demand china high net worth client specialized institutionalized gopher continue enhance investment capability breadth depth the demand institutional investor rise development chinese asset management industry gopher recently win bid manager billion fund invest government indiscernible important recognition fund management experience as lead alternative asset manager industry gopher establish standardized process online operation cover entire process fundraising investment management redemption gopher comprehensively sort integrate investment management system through visualize display interface system display paramedic view historic investment database include dozen fund fund hundred investing fund thousand portfolio company strive fully explore value datum resource these initiative integrate resource capital technology operation office support provide strong foundation gopher growth for overseas business high net worth client active global asset allocation noah globalization strategy continue forward steadily office hong kong us canada australia singapore provide diversified product service offering client as end quarter gopher overseas asset management reach billion increase yearly basis as continue expand global business attract overseas investor interested china at end october china australia family office alliance create in alliance noah join hand australia family office open investment opportunity family office country bring cooperation opportunity experienced sharing wealth management estate planning lastly like share group progress technology operation recently intelligent customer service robot launch official website public account noah online app question issue major category include group introduction product service daily conversation resolve ai as end september intelligent robot answer nearly customer question stop noah account system continuously improve audio visual recording client order information contract signing product status update launch online product information deliver customer timely accurately believe embrace technology help noah client service capability year change put high demand company operation management risk control but time noah face harsh market condition believe short term market fluctuation cause external sentiment actually rise opportunity long term return continue adhere strategy build core competency maintain compliance stable management focus growth uncertain market environment with turn noah chairlady ceo wang jingbo speak chinese remark follow english translation\n",
       "          0    1\n",
       "0     store 0.25\n",
       "1    retail 0.04\n",
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       "9   america 0.02\n",
       "13 tantan officially roll membership subscription business january number subscriber grow impressive pace faster pace see momo similar company roll type service believe speak strong demand come tantan user improve change match purchasing value add service and think tantan stage early stage term monetization and look roadmap similar company actually achieve acceleration number subscriber growth monetization growth up point tantan membership subscription area think tantan lot potential grow number subscriber monetization in addition tantan continue grow user base reach social feature think tantan lot opportunity monetize membership subscription business area diversify business line obviously momo lot expertise resource tantan leverage road high level confidence future growth trend tantan pay user operator\n",
       "             0    1\n",
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       "14 yes previous guidance million billion synergy take billion billion synergy and consistent expect million synergy year\n",
       "             0    1\n",
       "0       fiscal 0.17\n",
       "1     guidance 0.12\n",
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       "7         half 0.02\n",
       "8     estimate 0.02\n",
       "9       adjust 0.01\n",
       "15 no see consistent growth similar quarter term aftermarket demand meet salesperson review customer retirement plan and tell aware increase retirement fluctuation fuel price certain retirement build model continue operate but advise change customer utilization result fuel price so continue strengthen building aftermarket\n",
       "           0    1\n",
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       "16 great thank\n",
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       "17 yes close expect leverage de lever indicate spectrum have equity ownership outstanding share indicate issue equity future so financing place look give market condition add additional equity future\n",
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       "18 well network perform couple record month quarter release so great compare transaction revenue subscription revenue change dynamic bit but think pretty frankly but network look couple month highest think largely attributable customer network good place transact business thing come pretty good number\n",
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       "19 thank join fiscal year earning with today ceo george kurian cfo ron pasek this webcast live available replay website as reminder adopt new accounting standard asc historical financial result restate conform new accounting revenue recognition rule reconciliation previously report gaap result restate gaap result gaap non gaap result include earning release applicable period post website financial table guidance historical supplemental datum table non gaap gaap reconciliation unless note refer non gaap number during today forward look statement projection respect financial outlook future prospect guidance quarter fiscal year expectation future revenue profitability cash flow shareholder return ability grow expand opportunity involve risk uncertainty disclaim obligation update forward look statement projection actual result differ materially statement projection variety reason include global political macroeconomic market condition ability expand total available market introduce deliver new differentiate product service disruption manage gross profit margin capitalize market position cloud strategy maintain execution continue capital allocation strategy please refer document file time time sec available website specifically recent form fiscal year current report form during financial measure present non gaap indicate turn george\n",
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