{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 創薬ちゃん統計\n",
    "\n",
    "この記事は創薬アドベントカレンダー2日目の記事です。  \n",
    "[創薬 Advent Calendar 2017 - Adventar](https://adventar.org/calendars/2412)\n",
    "\n",
    "## Overview\n",
    "- [創薬ちゃん(@souyakuchan)](https://twitter.com/souyakuchan) の化合物描画Bot機能でこれまでに詠唱された化合物を集計してみた\n",
    "- API操作には [Tweepy](http://www.tweepy.org/) と [ddquest/chem_bot](https://github.com/ddquest/chem_bot) を使用\n",
    "- 取得日は 12/1（金）\n",
    "- 特に理由は無いですがPythonのバージョンは 3.5.3 です"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 下準備\n",
    "早速やっていきましょう。まずはデータ取得のための下準備としてPythonによるTwitter API認証とツイート取得方法を確認します。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### API 認証\n",
    "tweepy を使用して予め登録したアクセストークンでOAuth認証します。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tweepy\n",
    "\n",
    "consumer_key = 'XXXXXXXXXXXXXXXXXXXXXX'\n",
    "consumer_secret ='XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX'\n",
    "access_token = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX'\n",
    "access_token_secret = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX'\n",
    "\n",
    "auth = tweepy.OAuthHandler(consumer_key, consumer_secret)\n",
    "auth.set_access_token(access_token, access_token_secret)\n",
    "\n",
    "api = tweepy.API(auth)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ツイートの本文を取得してみる\n",
    "創薬ちゃんの最新ツイートを1件取得して`status.text`の中身を見てみます。\n",
    "\n",
    "集計時点での最新ツイートです。\n",
    "<blockquote class=\"twitter-tweet\" data-conversation=\"none\" data-cards=\"hidden\" data-lang=\"ja\"><p lang=\"cy\" dir=\"ltr\">&quot;CC1CC2(C)C(=CC1=O)CCC1C3CCC(O)(C(=O)CO)C3(C)CC(O)C12F&quot; #souyakuchan_magic pic.twitter.com/Ki3gTIYIcu</p>&mdash; 創薬ちゃん (@souyakuchan) 2017年12月1日</blockquote>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "@__YamYuki__ @souyakuchan \"CC1CC2(C)C(=CC1=O)CCC1C3CCC(O)(C(=O)CO)C3(C)CC(O)C12F\" #souyakuchan_magic https://t.co/Ki3gTIYIcu\n"
     ]
    }
   ],
   "source": [
    "status = next(tweepy.Cursor(api.user_timeline).items())\n",
    "print(status.text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### メンション付きツイートを取得してみる\n",
    "次は、創薬ちゃんにメンションされたツイートを取得してみます。  \n",
    "tweepyの`api.mentions_timeline()`が便利です。\n",
    "\n",
    "ドキュメントを見る際にlatestかどうか確認したほうが良いです。  \n",
    "http://docs.tweepy.org/　にアクセスすると `3.5.0` に誘導されるのですが、そこにはこのメソッドがありません。  \n",
    "latestはこちらです。 http://docs.tweepy.org/en/latest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mention = next(tweepy.Cursor(api.mentions_timeline).items())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"Today's post: https://t.co/Bgvlul5q8S @Lizreel_spindle @souyakuchan @OrenoSource @edamame0811 @bachemis… https://t.co/iXGugBWAtI\""
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mention.text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 投稿者を取得してみる\n",
    "誰がツイートしたかわからないので、投稿者情報も取得してみます。  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "screen name: @suimye\n",
      "user name: 無印良品\n"
     ]
    }
   ],
   "source": [
    "print('screen name: @{}'.format(mention.user.screen_name))\n",
    "print('user name:', mention.user.name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ツイート分析\n",
    "基本的なツイート取得方法がわかったのでツイート内容を分析していきます。  \n",
    "どんどんPythonで処理していきます。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "smiles = []\n",
    "iupacs = []\n",
    "\n",
    "for mention in tweepy.Cursor(api.mentions_timeline).items():\n",
    "    if 'http' in mention.text:\n",
    "        continue\n",
    "    split_texts = mention.text.split(':')\n",
    "    prefix = split_texts[0]\n",
    "\n",
    "    if len(split_texts) > 1:    \n",
    "        tweet_text = split_texts[1].lstrip(' ').replace('\\n', '')\n",
    "    \n",
    "    if 'smiles' in prefix.lower():\n",
    "        # トリガーとして smiles: を取り除いたあとの後ろのテキストから改行を取り除いて連結\n",
    "        smiles.append((mention.user.screen_name, tweet_text))\n",
    "    elif 'iupac' in prefix.lower():\n",
    "        # トリガーとして iupac: を取り除いたあとの後ろのテキストから改行を取り除いて連結\n",
    "        iupacs.append((mention.user.screen_name, tweet_text))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### クレンジング\n",
    "期待通り行けば詠唱呪文（ `iupac: ~~~~` or `smiles: ~~~~~` ）のみを取ってこられるはずですが、除外できていないのも混じるので、思い切って[RDKit](http://www.rdkit.org/)でパースできるものだけ残します。  \n",
    "\n",
    "期待していないけど入っちゃうものの例：` ('souyakuchan', 'SMILES式\"\"@souyakuchan iupac')`  \n",
    "\n",
    "IUPAC名についてはちょっと面倒なので化合物詠唱bot同様に、ASCII変換できない文字が含まれるものは除外することにしました。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from rdkit import Chem\n",
    "\n",
    "smiles_clean = [(user, smi) for user, smi in smiles if Chem.MolFromSmiles(smi)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "クレンジング前のSMILES数: 263\n",
      "RDKitでパース可能なSMILES数: 222\n",
      "RDKitでパース可能なSMILES数（重複なし）: 202\n"
     ]
    }
   ],
   "source": [
    "print('クレンジング前のSMILES数:', len(smiles))\n",
    "print('RDKitでパース可能なSMILES数:', len(smiles_clean))\n",
    "print('RDKitでパース可能なSMILES数（重複なし）:', len(set(smiles_clean)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def check_ascii(sｔrings):\n",
    "    \"\"\"Except multibyte characters in strings.\"\"\"\n",
    "    try:\n",
    "        strings.encode('ascii')\n",
    "        return True\n",
    "    except UnicodeEncodeError:\n",
    "        return False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "iupacs_clean = [(user, ipc) for user, ipc in iupacs if check_ascii(ipc)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "クレンジング前のIUPAC名数: 186\n",
      "ASCII変換できるIUPAC名数: 175\n",
      "ASCII変換できるIUPAC名数（重複なし）: 155\n"
     ]
    }
   ],
   "source": [
    "print('クレンジング前のIUPAC名数:', len(iupacs))\n",
    "print('ASCII変換できるIUPAC名数:', len(iupacs_clean))\n",
    "print('ASCII変換できるIUPAC名数（重複なし）:', len(set(iupacs_clean)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### SMILES投稿者ランキング\n",
    "誰が一番たくさん創薬ちゃんにSMILESを投げたか調べます（重複を含む）。  \n",
    "こういうときは `collections`が便利です。  \n",
    "`sorted`を使って上手く降順に投稿数を並び替えます。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import collections\n",
    "smi_count_result = collections.Counter([user for user, smi in smiles_clean])\n",
    "smi_count_result_sorted = sorted(smi_count_result.items(), key=lambda x:x[1], reverse=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SMILESを投稿したことのある人の数: 38\n"
     ]
    }
   ],
   "source": [
    "print('SMILESを投稿したことのある人の数:', len(smi_count_result_sorted))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### SMILES投稿数をユーザー別にプロットする\n",
    "折角なのでプロットしてみましたが、完全に出来レースでしたね。  \n",
    "あと、思ったよりも投稿している人の数が多いです。１０人ぐらいで楽しんでいるのかと少しさびしくも思っていましたが、そんなことないですね。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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aaOrUqapXr568vLzcWScAAACQI5wG4vr168tms6lWrVoaMWKEqlevrjx5bo2w+OOPPxwe\nW7FixZytEgAAAMghTgNxSkqKJGnLli3asmWLbDab/b6/z0lss9n0yy+/5GCJAAAAQM5xGojXr1/v\nzjoAAACAXOE0EJcpU8bpSpcuXZKvr688PT1zpCgAAADAXTKcdi0mJkb9+vVTXFycJCk2NladOnVS\n3bp1VbNmTc2aNcstRQIAAAA5xWkgXr9+vV599VV5e3vbe4KHDx+u48ePa/bs2Zo3b56+/vprLV68\n2G3FAgAAANnNaSBetGiRBg0apNmzZ6to0aI6fPiwfvjhB3Xr1k0tW7ZUgwYNNHToUC1dutSd9QIA\nAADZymkg/vXXX9WiRQv77dszTTRv3ty+7Mknn0wzBRsAAABwLzF96ebt27fLz89PTz31lH3ZlStX\nlD9//hwpDAAAAHAHp4G4cuXK9qnXzp07p61bt6pp06YOj4mKinIIyAAAAMC9xum0awMGDFCfPn20\nefNmHTt2TJ6enurTp48kad++ffrss88UFRWl9957z23FAgAAANnNaQ9xnTp1tHTpUlWqVElt27bV\n559/rnLlykmS1q5dq7179yoiIkINGjRwW7EAAABAdnPaQyzdOmnuySefTLN8xIgROVYQAAAA4E6m\nT6oDAAAA7kcEYgAAAFgagRgAAACWRiAGAACApTk9qS4mJsZ0IwEBAdlSDAAAAOBuTgNx3759HW7b\nbDYZhqH8+fMrb968unLlijw8PFSoUCFt27YtxwsFAAAAcoLTQPzrr7/a/x8VFaXPPvtMU6dO1aOP\nPipJ+uOPPzR69Gg1adIk56sEAAAAcoipMcTh4eGaMGGCPQxLUrly5TR69GiuVAcAAIB7mqlAnJKS\nor/++ivN8jNnzsjDwyPbiwIAAADcJcMr1d3WoUMHjRw5UgMGDFClSpVkGIZ+/vlnLViwQF26dMnp\nGgEAAIAcYyoQDxs2TF5eXoqIiNDFixclScWLF9fLL7+s3r1752iBAAAAQE4yFYg9PDw0ePBgDR48\n2B6IixYtmqOFAQAAAO5g+sIchw8f1tixY/X6668rOTlZS5Ys0ZYtW3KyNgAAACDHmQrE27Zt03PP\nPadr167pp59+UlJSks6ePas+ffpozZo1OV0jAAAAkGNMDZl4++23NXz4cHXt2lX+/v6SpCFDhqho\n0aJ655131KZNmxwtEgAAAMgppnqIDx8+nO7lmQMDA3Xy5MlsLwoAAABwF1OBuESJEg5Xrrtt27Zt\nKlWqVLYXBQAAALiLqSETffr00ZgxY3T8+HHdvHlTGzdu1OnTp/Xpp59qzJgxOV0jAAAAkGNMBeKO\nHTuqWLFiev/995U/f37NnTtXjz76qMLDw9WsWbOcrhEAAADIMaYC8a5du1S/fv0044iTkpL0zTff\nqGXLlqaebPfu3QoLC9OxY8fk5+enV155RZ07d9bly5c1atQobd++XQULFtSAAQPUqVMn118NAAAA\n4CKngTgpKUmpqakyDEMvvfSSoqOj01yM48CBAxo+fLipQHz58mX1799fY8aMUVBQkH755Rf17NlT\n5cqV06effiofHx9t3bpVhw4dUu/evfX000+rUqVKd/4KAQAAgAw4DcQrV67U2LFjZbPZZBiG06ER\n9evXN/VEsbGxCggIUEhIiCTpX//6l2rXrq0ff/xR0dHR+uabb5QvXz5VqVJFQUFBWrZsmcaOHZuF\nlwQAAACY5zQQd+rUSeXLl9fNmzfVvXt3zZkzR4ULF7bfb7PZ5OPjo8cff9zUEz355JOaMWOG/fbl\ny5e1e/duPfHEE8qbN68eeugh+30VKlTQunXrsvJ6AAAAAJdkOIa4Zs2akqT169erdOnSstls9vtu\n3rypPHlMX/nZwZUrV9SvXz97L/HHH3/scL+3t7cSExOz1DYAAADgClOJtnDhwgoLC9PRo0d18+ZN\nDRo0SP/617/UoUMHly/McfLkSXXu3FmFCxfWvHnz5OPjkyb8JiYmysfHx6V2AQAAgKwwFYgnTZqk\nzZs3y2azafXq1dq0aZPCw8NVtmxZTZ482fSTHThwQM8//7waNGig+fPny9vbWw8//LBSUlIUGxtr\nf9zx48dVsWJF118NAAAA4CJTgTgmJkYzZszQI488om+//VaNGjVSmzZtNHjwYO3atcvUE50/f16v\nvPKKevbsqTfffNM+3KJAgQIKDAxUeHi4rl+/rr179+rLL79UcHBw1l8VAAAAYJKpQJySkiIfHx8l\nJSVp69atatSokSTp2rVrypcvn6kn+vzzz3Xx4kW9++678vf3t/+bNWuWJk+erJSUFAUEBCg0NFTD\nhw9X1apVs/6qAAAAAJNMXZijRo0amjJligoVKqSUlBQFBgZq3759mjRpkulp1/r166d+/fo5vT8i\nIsJcxQAAAEA2Mj2G2NPTU0eOHNGsWbPk5+en6OholS5dmrmCAQAAcE8z1UNcokQJzZ8/32HZ4MGD\nc6QgAAAAwJ1MBWJJ2rNnjxYuXKhjx47p5s2beuSRR/TSSy+ZHjIBAAAA3I1MBeKvv/5aQ4YMUcuW\nLdW1a1elpqbqxx9/VJ8+fTRnzhwFBgbmdJ33lCvLPnV5nYKdOudAJQAAAMiMqUA8b948DR06VL16\n9bIv69Gjhz744APNmzePQAwAAIB7lqmT6k6ePKlmzZqlWd6sWTMdPXo024sCAAAA3MVUIC5Xrpx2\n7tyZZvmOHTtUsmTJbC8KAAAAcBdTQyZ69eqlcePG6fDhw6pSpYpsNpv27NmjZcuWafTo0TldIwAA\nAJBjTAXi9u3bS5I+/vhjLV26VN7e3qpQoYLCw8PTHUoBAAAA3CtMT7vWvn17ezAGAAAA7hdOA3Fq\naqoWLlyodevWycvLS4GBgerZs6c8PT3dWR8AAACQo5yeVPfuu+/q/fffV5UqVVS5cmUtXLhQkyZN\ncmdtAAAAQI5z2kO8YsUKzZgxwz7HcLNmzdSvXz9NmDBBHh4ebisQAAAAyElOA/GZM2dUuXJl++3a\ntWsrJSVF58+fV4kSJdxSnJXt35KYpfUq1/fO5koAAADub06HTKSkpChv3v/Ly3ny5JGXl5eSkpLc\nUhgAAADgDqYuzAEAAADcrzKcdi0qKko+Pj7226mpqVq5cqX8/PwcHtelS5ecqQ4AAADIYU4DcenS\npfW///3PYVmxYsUUFRXlsMxmsxGIAQAAcM9yGog3bNjgzjoAAACAXMEYYgAAAFgagRgAAACWRiAG\nAACApRGIAQAAYGkEYgAAAFgagRgAAACWRiAGAACApRGIAQAAYGkEYgAAAFgagRgAAACWRiAGAACA\npRGIAQAAYGkEYgAAAFgagRgAAACWRiAGAACApRGIAQAAYGkEYgAAAFgagRgAAACWRiAGAACApRGI\nAQAAYGkEYgAAAFgagRgAAACWRiAGAACApRGIAQAAYGkEYgAAAFgagRgAAACWRiAGAACApRGIAQAA\nYGkEYgAAAFgagRgAAACWRiAGAACApRGIAQAAYGkEYgAAAFha3twuADknIWFFltYrUKB9NlcCAABw\n96KHGAAAAJZGIAYAAIClEYgBAABgaQRiAAAAWBqBGAAAAJZGIAYAAIClEYgBAABgaQRiAAAAWBqB\nGAAAAJZGIAYAAIClEYgBAABgaQRiAAAAWBqBGAAAAJZGIAYAAIClEYgBAABgaQRiAAAAWBqBGAAA\nAJZGIAYAAIClEYgBAABgaQRiAAAAWBqBGAAAAJZGIAYAAIClEYgBAABgaQRiAAAAWBqBGAAAAJZG\nIAYAAIClEYgBAABgaQRiAAAAWBqBGAAAAJZGIAYAAIClEYgBAABgaQRiAAAAWBqBGAAAAJZGIAYA\nAICl5Uog3rt3rxo0aGC/ffnyZQ0YMEDVq1dX48aNtWzZstwoCwAAABaU151PZhiGvvjiC02bNk0e\nHh725WPHjpWPj4+2bt2qQ4cOqXfv3nr66adVqVIld5YHAAAAC3JrD/GCBQv08ccfq1+/fvZlV69e\nVXR0tEJDQ5UvXz5VqVJFQUFB9BIDAADALdwaiDt27KiVK1fq6aefti/7/ffflTdvXj300EP2ZRUq\nVNDhw4fdWRoAAAAsyq1DJh588ME0y65duyZvb2+HZd7e3kpMTHRXWcjA10dOZGm9VhXLZ2sdAAAA\nOSXXZ5nInz9/mvCbmJgoHx+fXKoIAAAAVpLrgfjhhx9WSkqKYmNj7cuOHz+uihUr5mJVAAAAsIpc\nD8QFChRQYGCgwsPDdf36de3du1dffvmlgoODc7s0AAAAWECuB2JJmjx5slJSUhQQEKDQ0FANHz5c\nVatWze2yAAAAYAFuPanuttq1a2vHjh3220WKFFFERERulAIAAACLuyt6iAEAAIDcQiAGAACApRGI\nAQAAYGm5MoYY1vLR9vgsrde9TiGH24tjV7rcRrfS7bL03AAAwDroIQYAAIClEYgBAABgaQRiAAAA\nWBqBGAAAAJZGIAYAAIClEYgBAABgaQRiAAAAWBqBGAAAAJZGIAYAAIClEYgBAABgaQRiAAAAWBqB\nGAAAAJZGIAYAAIClEYgBAABgaQRiAAAAWBqBGAAAAJZGIAYAAIClEYgBAABgaQRiAAAAWBqBGAAA\nAJZGIAYAAIClEYgBAABgaQRiAAAAWBqBGAAAAJZGIAYAAIClEYgBAABgaQRiAAAAWBqBGAAAAJZG\nIAYAAICl5c3tAgB3urLs0yytV7BT52yuBAAA3C3oIQYAAIClEYgBAABgaQRiAAAAWBqBGAAAAJZG\nIAYAAIClEYgBAABgaQRiAAAAWBqBGAAAAJbGhTkAF+3fkpil9SrX97b/PyFhRZbaKFCgfZbWAwAA\nztFDDAAAAEsjEAMAAMDSCMQAAACwNAIxAAAALI1ADAAAAEsjEAMAAMDSCMQAAACwNAIxAAAALI1A\nDAAAAEvjSnXAPerrIyeytF6riuUdbn+0Pd7lNrrXKeRwe3HsSpfb6Fa6ncPtK8s+dbkNSSrYqbP9\n/9lxFUEAgPXQQwwAAABLIxADAADA0gjEAAAAsDQCMQAAACyNQAwAAABLIxADAADA0gjEAAAAsDQC\nMQAAACyNQAwAAABL40p1APA3CQkrsrRegQLt7f+/m64iCADIHD3EAAAAsDQCMQAAACyNQAwAAABL\nIxADAADA0gjEAAAAsDQCMQAAACyNQAwAAABLIxADAADA0rgwBwDcxxbHrszSet1Kt7P//8qyT7PU\nRsFOne3/378lMUttVK7vbf9/dlw0RcrahVO4aApwf6OHGAAAAJZGIAYAAIClEYgBAABgaQRiAAAA\nWBqBGAAAAJZGIAYAAIClEYgBAABgaQRiAAAAWBqBGAAAAJbGleoAAMgFXEXw7rmKoOR4JcH76b2R\nsvb+3M/vTXroIQYAAIClEYgBAABgaQRiAAAAWBqBGAAAAJZGIAYAAICl3TWB+ODBg3ruuedUrVo1\ntWvXTj/99FNulwQAAAALuCsC8Y0bN9SvXz916NBBu3btUrdu3fTaa68pKSkpt0sDAADAfe6uCMTb\nt29Xnjx59O9//1uenp567rnn5Ofnp40bN+Z2aQAAALjP3RUX5jh+/LgeffRRh2UVKlTQ4cOH1bJl\nywzXTU1NlSTFX4zL0nOfOuU4SfSlsxddb+PmKYfbV//6y+U2fE85tnH2/A2X25CkU6fy2f9/7Zrr\nr0WSfHz+r5YLcWeyVof3/320Lp1LyFobd8l7Izm+P/fTeyNl7f3hvUnrfnpvJMf35356b6SsvT+8\nN+nUcR+9N5Lj+3M/vTdS1t6f+/G9OXPm1mu4nR3/zmYYhpGllrPR/PnzdfDgQc2bN8++bMSIEXrw\nwQc1bNiwDNfdvXu3unTpktMlAgAA4D4QGRmpGjVqOCy7K3qI8+fPr8REx8sTJiYmysfHJ9N1K1eu\nrMjISBUvXlweHh45VSIAAADuYampqTp37pwqV66c5r67IhA/8sgjWrJkicOy48ePKygoKNN1vb29\n06R8AAAA4J8efvjhdJffFSfV1a1bV0lJSVq8eLGSk5P1+eef6/z582rQoEFulwYAAID73F0xhliS\nfv31V02YMEGHDh3Sww8/rAkTJqhatWq5XRYAAADuc3dNIAYAAAByw10xZAIAAADILQRiAAAAWBqB\nGAAAAJZGIAYAAIClEYjvE+fOncvtEgAAAO5JBOL7RMuWLXO7BFjEhAkTTD82KSkp5wpxwblz55SQ\nkJDbZSg1NTW3S8A95urVq1ljMulPAAAgAElEQVRa72757uWm9evXp7t8xYoVbq4EOS05OVnnz59X\nSkpKltuw9LRrwcHBWr16tcOyr776Sq1atcq2y0AfPnxYq1ev1pkzZ/TAAw8oKChI//rXv7Kl7b/z\n9/fXnj17TD8+NTVVR48e1eOPP+7S88TFxenkyZP658emZs2abmtj3rx5Tu977bXXTNchSb///rui\noqJ09uxZvfHGG4qOjlbHjh1NrRsbG6v33ntPv//+u27evOlw38cff+xSHSkpKcqb1/ULR27evFkN\nGjRQTEyM08cEBAS43G5GnnnmGf34449O709JSdGCBQu0dOlSJSQkaNWqVXrzzTc1a9YsFS9e3PTz\nHD16VGvXrtW5c+dUqlQptW3bVg899JCpdQ8cOKBp06Zp8eLFioqK0ujRo+Xt7a3Zs2eb+nt069ZN\nixcvVseOHWWz2dJ9zOeff26qluTkZM2dO1dRUVG6cOGCChcurJCQEA0bNkxeXl6m2pCkixcvasmS\nJYqLi7N/3lJSUnT06FFFRUVluO6VK1c0Y8YM9erVS8WLF9dbb72l6OhoGYahNm3aaPjw4cqfP7+p\nOvr166eZM2eqQIECpmv/u8w+P2YtWbJEXbt2TbN8wYIF6tev3x2374rly5fr2WefdVh248YNhYeH\na9SoUaba6N69u6ZPn64SJUrYl23dulVjxozRhg0bTLWRXd+97PDzzz/rxIkTaX7n27dv73Jb8fHx\nyp8/vzw9PTN9bEJCgs6cOSNJ6tSpkz7//HOHGhISEtSzZ09T28vk5GTNnz9fe/bsUaVKldSnTx8V\nLVrUfv/t3wkz7mRbc+bMGZUsWdJ++/Dhw9q4caPy5cun1q1b68EHHzTVjpTxzoCr701cXJxOnz6d\nZkc/o215Rtvv21zZjsfHx2vChAmKjo5WcnKyvL29FRQUpFGjRpn+Tbvtrrh0c245depUmmVDhw7V\nZ599luaHKStiYmI0aNAgNW3aVKVLl9apU6fUpUsXhYeHKzAw8I7a/idnG21Jio6O1pQpU3T27FmH\nH4b8+fO7tGFatGiR3n77bfn4+DiEN5vNpm3btrmtjd9++83h9qVLl/TTTz8pODjY1Pq3xcTEaMSI\nEWratKm++eYbDRo0SBERETp//rz69u2b6fojR46UYRhq1qyZqR/qjNSrV0+tWrVScHCwSzsX06ZN\n05dffqmJEyeme7/NZnPaS5JVme1Dh4eH68CBAwoPD9eAAQNUvHhxlSxZUuPHj9f8+fNNPceaNWv0\nxhtvqGHDhipZsqR++uknvffee5ozZ44aNmyY6frTpk1T7dq1ZRiG5syZo7CwMBUpUkTTp083FYif\nf/55SVKXLl0y/G6ZMXv2bO3cuVPTpk1T6dKldfLkSc2dO1ezZs3SyJEjTbczfPhwXblyRX5+fvrr\nr79UsWJFrV+/Xp07d8503dGjR8swDBUuXFhTpkzRmTNnNGfOHHuAmjRpkt566y1Tdezbt++O/iZ3\n0gdz4cIF7d+/X5I0c+bMNDtICQkJeu+999weiMPDwxUTE6NJkyapUKFC+umnnzRy5EiXdhrKli2r\nkJAQTZw4UQEBAQoLC9OqVasUGhrqUh13+t3LDm+99ZY++eQTPfLII2l+5zMLXQkJCXrnnXfk5+en\nzp07a8CAAdq1a5fy5s2rdu3aaezYsfL29na6fmpqqrp27apLly5Jktq2betwv6enpzp06GDqdYSF\nhWnfvn0KDg7Wxo0b9dxzz2nJkiUqXbq0pFs73mbc6bamTZs29m31pk2bNGjQINWpU0dJSUmaO3eu\nFixYoBo1apiq5Z8B/tKlS/rzzz8VEBDgUiD+z3/+o+nTp8vX19dh+5fZtvz29js+Pl47duxQ3bp1\nVaZMGcXFxWnLli1q0qSJ6RokacyYMUpKStJnn32mEiVK6PTp04qIiNCUKVM0depUl9qSYWH+/v5p\nllWrVs2IiIgwatSoYSxatMi4du1alttv3769sWnTJodlmzZtMoKCgrLcpjPpvZbbWrRoYSxYsMBY\nvHixMWjQIGPXrl1G165djUWLFrn0HAEBAca33357R3VmRxvp2bx5s9G/f3+X1gkODjZ27txpGIZh\n1KhRwzAMwzhy5IgREBBgav1nnnnGuHLlikvP6cyhQ4eM8PBwo2nTpkbjxo2NGTNmGL/++qvp9Xfs\n2GGkpKRkSy2ZyeizZhiG0bBhQ+PixYuGYRhGzZo1DcMwjKtXrxq1atUy/RzNmjUzNm/e7LBs06ZN\nRtu2bU2tX7t2bcMwDOOXX34xqlataty4ccMwjFvf7+xw/fp1049t3LixERcX57DszJkzRt26dV16\nzmrVqhmXLl0yfvnlF6NXr16GYdz6m7z44ouZrluzZk0jMTHRMAzDqF+/vnHp0iX7fZcuXbK/T2a8\n8cYbRkhIiDFr1ixjyZIlDv/MyOzzk5Hr168bHTp0MJo0aWJUqlTJaNKkicO/li1bGgsWLDDV1gsv\nvJDpP7MuXrxoDBw40GjUqJExduxYo3r16sYHH3xgpKamuvT6Nm3aZNSvX9+oVauW8fLLLxunT592\naf07/e7Vrl3bqFOnTob/zKhXr57x008/uVT7bSNGjDB69eplvPjii0ZwcLARGhpqnDx50jh69KjR\nt29fY/LkyabbevbZZ7NUw23169c3zp8/b789efJko1WrVkZ8fLxhGOY/y3e6rfn779azzz7rsA1d\nvXr1Hb/OqKgo480333Rpnbp16xoxMTFZfs6+ffsa0dHRDss2bdpkdO3a1aV2nnnmGePq1asOy+Lj\n4136TbvN0j3E6bHZbAoNDVXTpk01bdo0LVq0SCEhIWrdurUqV67s0mHtP/74I01vVsOGDTVkyJDs\nLjtDZ8+eVZ8+fRQbG6uVK1eqRo0amj59ul566SX16tXLdDvXr19X06ZN76iW7GgjPbVr19bAgQNd\nWufPP/+071Xf7vGqUKGC6TF7Dz30kOLj47N86PjvHn/8cQ0ZMkRDhgzRnj17tG7dOoWGhsrLy0sh\nISFq3759hoc8Bw4cqO+++y7bhvrcqX/WkZqaqnz58ple/8KFC6pVq5bDsvr162vEiBGm1s+fP7/O\nnDmjtWvXqmbNmvLy8tLBgwcdDndm5MyZMxoyZIj27t2rxx9/XKNGjXLogalXr57poyvXr19XwYIF\nHZYVLFjQ5Z5SX19fFS5cWF5eXvZeloCAAFN/Ey8vL12+fFkPPvig/Pz8HMbZ3bhxQ76+vqbrOHXq\nlAoVKqQffvjBYbnNZlOXLl0yXf/69euZHiFzdlTD29tbX3zxhaRbh1XNHH51pnv37hoxYoRefvll\nlS1bNsvtSJKfn58GDBigvn37atmyZWrZsqU6d+6sPHnMn6aTlJSknTt36tq1a6pcubIOHz6sX375\nxd4badadfPfmzJnj0nM5Y7PZ9NRTT2Vp3U2bNmnTpk06e/asWrVqpU8++cT+GxsWFqbg4GCNGTPG\nVFtRUVG6evWqfH19lZqaqm+++UZ+fn6qW7euqfWTk5NVqFAh++0xY8YoNDRUoaGhWrRokenv8J1u\na/5+RObPP/906EVt06aNxo4da6odZ9q1a6epU6fq//2//2d6nbx585o6WufMjh079M477zgsq1ev\nngYNGuRSO8WKFdPp06f12GOP2ZddunQpS0f4CcROVK5cWUuWLNEPP/yg5cuXa8CAAbp8+bKKFCmi\nzZs3m2qjfPny2rBhg5o1a2ZftmHDBj388MM5VXa6ihcvrmvXrqlUqVL6448/ZBiGSpUqpQsXLrjU\nzrPPPqv3339fr7zySpaDV3a0ceTIEYfbycnJWr16tcqUKeNSO5UqVdLSpUsdDjmvXbtWTzzxhKn1\nGzdurB49eigkJER+fn4O95kJBulJSEjQ77//rhMnTuj8+fOqVq2a/vjjD4WEhOi1115z2m7VqlW1\ndu1atW3b9o6Hb9ypFi1aaPDgwRo+fLgMw9CpU6c0c+ZMl4YJtWvXTuHh4RoyZIi8vLxkGIY++OAD\ntWnTxtT63bt3V+vWrZWSkqL3339fe/fuVc+ePTVs2DBT60+cOFGPPfaYJkyYoPXr16t3796aN2+e\n6tevL8m1w/7169fXuHHjNGbMGBUuXFiXLl3S1KlTTW+Ub3vssccUGRmpf//73/Lx8dG+ffvk7e1t\nKnR17txZvXr10ogRI9S9e3cNGjRIffr0UXx8vN59912FhISYrsPsmElnvLy87ngDLt0ai5iUlKSL\nFy+mGcNvJkS2bt1aJ0+e1JYtWzR48OA7qmXWrFn66KOP1L17dz3//POaNGmS2rZtqwkTJpgewx8U\nFKQCBQpo6dKleuyxx7R27VqNHj1aq1atUkREhKk27vS798+d0Kzq3r27pk6dqj59+qT5bTQzrjNP\nnjx6+OGH1b59e4dx9qmpqS6dmLpq1SpNnDhRP/zwg2bOnKlVq1bJZrPppZdeUp8+fTJdv0aNGgoL\nC9Orr76qBx54QJI0Y8YMde3aVQMHDjT9O3Cn25rk5GR9++23qlSpkqpXr679+/eratWqkqQ9e/a4\nNIb4+vXradpeuXKl/fWZ1b59e82dO1evvfaaSzt+t1WsWFEfffSRXn75ZUnSzZs3NX/+fD355JMu\ntdOsWTP17NlT3bp1U7ly5XT27FlFRkaqWrVqioyMtD/OzDbZ0ifVpXdyR0Ynp506dUqnT59W7dq1\nTbW/ZcsW9e/fX/Xq1VOZMmV06tQp7dixQ/Pnz3d5Y5iZjE5UmTBhgo4fP645c+Zo2LBheuSRR+Tt\n7a0NGzakOakwIyEhIfrtt9+UN2/eND1eZsf/ZkcblSpVcridJ08elS9fXmPHjnXp73ro0CH16tVL\nxYoV05EjR+Tv769jx45p0aJFpr6U3bp1S3e5zWZz+aS6r776SmvWrNHmzZv12GOPKSgoSEFBQSpW\nrJikW3+bAQMGOH2P27Rpo2PHjilPnjwqVKiQQ4+C2b+rWZmdFHXjxg1NmzZNy5cvV2Jiory8vBQU\nFKTRo0eb7okMCgrSkSNH5Ovrq5IlS+r8+fO6fPmyChUq5LAjldFrO3nypPLnz69ixYrp4sWLio2N\nVeXKlU09f+3atfX999/bN8Zr1qzR+PHjFRkZqccff9ylE8MuXLigAQMG6KeffpKPj4+uX7+uunXr\nasaMGS5thA4ePKhBgwbpgw8+0M8//6w33nhDktS/f3/1798/0/UXL16sTz75RMePH7cvK1y4sDp0\n6KChQ4eaPvp148YNffnll2lO7jt27JipHsbsOqlu1apVmjRpUprZQ2w2m3755RdTbaSkpGjs2LEa\nMmTIHZ101rp1a4WFhalKlSr2ZcuWLVNYWJh2795tqo05c+ZowIABDp/v8+fPa9y4cabH/2bHdy8x\nMVFffPGFfvjhB125ckWlSpXS008/rZCQENM9zTVr1tSVK1ck/V/vpmEYpt6bwYMHK0+ePJo2bZrD\nzn1MTIzeffddPf300xo9erSpOkJCQjRq1ChVr15dderU0X/+8x8VK1ZML774or777rtM14+Li9Ow\nYcPk6+urBQsW2JdfvnxZr732mnbv3m3qs3an25qJEyfq119/1aFDh5SYmKjatWvrww8/1NKlSxUW\nFqbRo0ebPkGvUqVKDtsHwzBUqFAhjR8/Ps146/TUqVNHNptNN2/e1OXLl+Xl5ZXms2Vmm3Pw4EH1\n799fSUlJKlasmOLi4lS4cGG99957qlChgqnXIjnfDv+d2W2ypQNxeuF3/PjxTk9QyorDhw9rzZo1\nunDhgkqXLq02bdqoXLly2db+bdWrV09zCPO2Gzdu6IMPPlDXrl0VHx+vcePG6erVq3rzzTdVrVo1\n08+xc+dOp/eZ7VnIjjay09WrVxUTE6PY2FgVL15cjRs3VuHChd1eR/PmzRUUFKTg4GA98sgjae4/\ne/as1q5dq+7du6e7vjv/rg0aNDB9lOTixYsqUqSIyz0IGb2ev3P22p5//nl99tlnaZa3bt1aa9eu\nzbTdBg0aaNWqVQ5DLBYuXKhPP/1Uy5YtU/PmzV0OdSdPntSFCxdUqlSpOz5hV7q1sb569Wq6n5eM\nXL9+XfHx8fL09DQ9hOTvXn/9de3bt09+fn5KTExUsWLFtHv3bnXo0EGTJ0/OdH1XZ8RxpkWLFura\ntavat2+fJsz7+PjccfuuuHHjRrphMTY21qUhD8uWLVOjRo1UokQJffnll0pMTNRzzz2XpZqy8t07\nc+aMunXrJpvNpnr16qlw4cL666+/tHXrVuXLl0+LFy829Zk5ffq00/syO5IXHx+vyZMna9q0aQ47\nB7169dJTTz2lgQMHmp6dpVatWtq5c6e2b9+uoUOHasuWLZJc3ylLTk5O98jb7t27TZ/Mlh3bGsMw\ndOLECcXHx6tq1aratm2bPDw8XPqN/+d74+HhoQceeMD0kUUzv81m60lKStKPP/6o8+fP68EHH9Qz\nzzyTpdmWsst9G4gXLlyorl27ZvjD+Prrr6c5FHXu3Llsm55m0KBBmj17dprlr7zyihYtWpQtz3Fb\ndvW65AZXp4AbOnSoBg4cqPLlyzssT28avfT885BReswc1rvTnrKc8Pvvvys2NlY1a9ZMd+xqZgzD\n0HfffafY2Ng0h6HNDgNJSUnRunXrdOLEiTRtuDotnituHx42DEPr169Pc5g4ISFBv/32m77//vtM\n25o6daoOHDig/v37q0GDBvblY8aM0fbt2xUXF6d9+/aZqsvZOFcvLy/5+fmpTp06pqaTS0pK0urV\nq9WxY0f9/vvvmjJlivz8/PTGG2+YCilfffWVateurWLFimn16tUO0661atXK1GuRbh1G/uqrrxQX\nF6cFCxZo/vz5WrFihb766iu9//77ma6/evVql2eESU/16tW1a9euLB2uzS4jR45UWFiYXn/9daeP\nMTvcYebMmYqJidH8+fP10EMPafPmzQoLC1PLli1Nf2+uXr2qlStXpvv9NTPWfOjQofL29tbkyZMd\n/q6GYWjUqFHy8PDQlClTTNWSmpqqHTt2KDY2VsHBwfrzzz/T/GbntJCQEA0cOFCrV6+Wt7e3pk+f\nrmXLlul///tfplMV/t2bb76psWPHOuSJo0ePauTIkaamX+zbt69CQkIUGBiY4QwZZqWmpuq3335T\nwYIFszT+PSUlRRcuXEgz/MTV8eqZSS+XZNdUob169dLIkSNdnjo2I/ftGOJFixbZx6Y4k94PVaNG\njdSvXz+FhoZmaWqh2NhYLVmyRNKtE0OmT5/ucH9CQoLpDWl2OXTokN599910fyTNfJkDAwO1fv16\n+6GS9Hh4eKho0aLq1auX2rVr57St9evXa8qUKYqLi8vyFHBr1qzRli1bNHPmTIewkt40eunx9/d3\n+jrMHtaTbm1gnPWUmZXRPLe3mXmPzp8/r8GDB+vnn3+Wh4eHPv/8c3Xu3FkLFy6Uv7+/6XqGDRum\nLVu2qGLFig51mT1hSrq18di8ebP8/f3TTLmUmTv5rJUtW1Y1a9bUX3/9pfXr1zucZCHdCqBmpzkb\nOXKk3n33XW3bts3hMzZ58mTNnTtXH374oal2JOnXX39VdHS0qlWrptKlS+vMmTP68ccf7YfXp0yZ\norfffjvTcZ6TJk3SwYMH1bFjR40ZM0YPPPCA8uTJozFjxmR6SH3WrFlau3at/vvf/+r999/XkiVL\n1KlTJ928eVNTp07VyZMn1bt3b1Ovx9PTUyVKlJCvr69+/fVXSbd2RsPCwkytHxwcrKNHj+ro0aNq\n0aKFpFsb+DFjxuiVV17Ro48+aqqdwMBAffnlly6Nf85ut3vn//lZy4rly5dr9erV9p2bBg0a6Ikn\nntCzzz5rOhCHhobq9OnTqlq1apZ2FLZt26Y1a9akWddms2no0KHq1KmTqXZOnDihvn37KiUlRRcv\nXlTNmjUVHBysiIgIUydVb9q0SUuXLtWRI0d0/fp1+fr66tFHH1X79u3tnxkz3njjDY0aNUoFCxbU\nu+++q61bt2rmzJkun4wZFxendu3aacaMGapataoWLVqkd955xz49Y2YaNGigxYsXa+zYsQoMDFRw\ncLAaNGhg+j2Ki4vT1KlT5efnp969e6tXr172nt4aNWpo9uzZKlKkiKm2Vq1apfHjxysxMdFhG+zK\nUCOz0utvza6pQrdv364ePXro1VdfVdeuXe94ekzpPu4hnjRpkpKSktS2bVsVK1bM4Y9VsWJFp+tV\nqVJF/v7+SkhI0Pjx4x3GhJkVFhamS5cupdsT4unpqVatWqlevXout5uRjHqIg4ODValSJdWpUyfN\nF/Cfk8mn5/ZhoYwOlRiGoSNHjmjOnDnasWOH08e1bNlSHTp0kK+vr3744Qd16dJFERERaty4sekZ\nL/z9/e3jofv166eePXtKMt9LntHhvNvMnKB3pz1l0q2NYGbMvEcDBw5U2bJlNXjwYNWvX1+7du3S\n4sWLtXr16nSHDjhTvXp1ffXVVw6TwLuqdu3aWrp0aZZ6g25/1rZv3+50Y2Hms7Zu3TqXNpyuSk1N\nNX1S6GuvvabmzZs7hPevv/5aa9euVUREhDZt2qTw8PBMj240bdpUK1euVFJSkho2bKiYmBgVLlxY\n9erVy3Scav369RUVFaUSJUooMDBQCxcutAfPo0ePqkePHqZ6ziXpxRdfVN++fdW4cWM1bdpUH330\nkby8vBQcHGzqcOr+/fvVvXt3denSxT7jTnx8vEaNGqXt27dryZIlac4TSM8rr7yizZs3q3Tp0ml6\nyM3sRP6zsyI9Zmc1yQ41a9bUxo0bHWatSUhIUMuWLe2H+jPj7++v7777zuUjQ39fP6PhLBkNzfu7\nnj17qkmTJnrppZdUs2ZN7dq1S99++63mzJmT6ed8wYIFWrZsmbp27aoKFSrI29tbiYmJOn78uJYs\nWaIXXnjB1Alx6UlOTpakLJ14HBkZqYiICBUvXlxeXl6aOHGiy/ng1KlT+uqrr/TNN9/YZ9EICQnJ\ntJ0BAwaocOHCSkhI0N69e9W8eXONGDFCKSkpmjp1qm7cuKEZM2aYqqFx48bq16+fWrdunebvkN1D\njbJy5PratWum6vD399eyZcs0YsQIJScnq3///mrZsuUdHTG6b3uIP/nkE0lpfxgz2wvKmzevPvro\nI/33v/9Vr169VK1aNb344otq1KiR6bEtt3uhnnjiCfXo0SPN/e6+pObp06e1fPnyLI/NuT1GKrNx\nQf7+/po5c2aGj8mOKeBsNpsaNmyoyMhIvfrqqzp06JAmTZpkOqC4OhuFM3faUyalDbtJSUn6888/\nVa5cORmGYfrLvWvXLoWHh8vLy8u+83d7Z8MVZcqUueOp23x9fbM8Rvb2Z+2tt95SZGSk0ynt/P39\n9fvvvzttp0WLFtq5c6c+++wznT17VrNmzVJkZGSak5Yykl29VDt37kwzhKZ58+b2qaMaN25sairG\nq1evysfHR+vXr1fFihVVvHhxJSQkmHo9ycnJ9rP9b9686XCYtWzZsi5d7jQ0NFQDBw7U8uXL9dJL\nL6ljx47y8PAwPQPI7Nmz9dprr9l3ZCWpUKFCmjdvnubNm6dZs2bpvffey7Sdtm3bmjoJyJmkpCRF\nRkaqRYsWdxwE7vQonHTrczB8+HANHjxYJUqUUFxcnObMmaNGjRqZruOJJ57QhQsXshyIM+tlM9t/\nduDAAfuwwNttNm/e3H4iaEaWLFmiyMjINLMxNW7cWE2aNFHXrl0zDcSzZ8/WoEGDMtzpcXVnx2az\nyWazKTk5WV5eXlnanpYtW1bBwcHKly+foqKitGLFCvvJu5MmTXJ6NG/nzp3atm2bzp07p6ZNm2r4\n8OHy9PSUp6enRo8e7dIMPklJSaYu5pPT0rui5JYtWzRu3DhTPcQ2m00VK1bUF198oS+++EIRERGa\nPHmymjVrJn9/fxUvXtzh6J4Z920gvh1QsqpHjx7q0KGDIiMjNW3aNA0fPlxPPfWUHnzwQYWHh5tq\nY9GiRekG4gYNGpg+aSg7NG3aVJs2bXKY/i0n/D2MOZNdU8BJt3r6P/vsM4WGhuqll14yfcjkn2fZ\npsfMoaPy5ctr06ZNaty4saRbJ015eXm5NC3QbVevXtXkyZO1atUqeXl5afny5erdu7cWLlxo6qSp\nwoUL6+TJkw6Hm0+dOuXyVDoTJkzQyy+/rLZt26bZqJodMnF7erMePXqkmXIpo6Mzf3flyhUlJiY6\nDcReXl4ZXhI3KipKs2fP1vPPP6+NGzdKkr799lv7yaSZ+Xsv1QsvvODQSxUWFqYTJ06Y7qUqVaqU\nVqxY4TCUZtWqVfapkg4ePGjqvIUaNWpo8ODBOnDggJ5//nn9+eefGj9+vH0quIw0bNhQY8aM0bhx\n4/Tiiy9q+vTp9ivf3b6qn1l169bV999/L29vb/Xo0UNVq1ZVQkKC6Y3Pvn37nA7x6Nmzp+mN++2d\nyazuRI4ZM0YJCQny9PQ0dTJgRoYNG6ZKlSrphRdeyHIP1bhx4zRu3Dh17NjRfhJXmzZtTM+oIEmj\nRo1St27d1Lhx4zTfXzMBMDU1NcOxnf8M+86UKFFC+/btczhp++DBgypVqlSm6yYnJ9tn1/knPz8/\nUzX8f/a+PS7G9H//ikpJKecSH621zlRKSUiLWh0paZ2T6CDKFkonKUrSQaLDOsWutMh2JocQwlpn\nu6wcSjqf07nn90e/eXamqZn7mZm1n6/X53q9eu3OjPuZe2ae537e9/t9va+rqqqK47/CYvny5Sgq\nKkJYWBhmzJiB+Ph4LF++HN9//z3R91pSUoLMzEykp6fjxYsXmDVrFhwdHaGvrw9JSUmcPHkSzs7O\nPTYri4uLo7GxEYqKinBycuJ4rbKyklFwPm/ePCQlJRHTX/4psCy1HRwcUFNTg927dyMrK4uxy6SY\nmBgsLS1haWmJ+/fv49q1azh37hw+fPhAbHnOwhcbEAOdCg8pKSkoLi7GwIEDYWxsjIkTJxKPl5OT\ng4ODAxwcHPD69Ws8enkKiHgAACAASURBVPSIb7m9sLAQrq6uoCgKVVVVXB3CDQ0NAnV28wOvnbu1\ntTXWrFmD4cOHcy2SpNkLUUFHRweOjo6IjIzElClTEBQUBCkpKUZZW3biv4KCAo4ePQofHx88fPiQ\naDyrZJeWloaHDx9i06ZNtHVkZGQkre/ID8Jmytixe/duWmvS3NwcI0eOhIGBAXbu3Injx4/zHb96\n9WrY2dlh9erVaG1txblz53D06FHGeshHjhxBaWkpbty4wXFjZ8IhZtlldt3lM+GoqaqqYtGiRdDW\n1uaiPJHcgGJiYhAXF4exY8fi+PHjGDhwIOLi4mBpaUkUEIsiS8WCt7c3HB0dkZCQgGHDhqGoqIg+\n1549e4YVK1YQNSoFBQXhyJEjUFVVxZo1a/Dy5UuMGDGCSEN3586d8PDwwMyZMzF8+HC8e/cOP//8\nMyiKwoQJE4gpPizU1tbixYsX9OZPSkoK9+/fJ7Yd7ymrLSUlRRx0CbuJBDo5psuWLRO6mVrYKhzQ\nadYSFhaGlpYW1NbWYsCAAYyD65CQEPTr1w/Nzc2Msv4sDBw4kKfKEum9y9nZGXZ2dli0aBFtL3zm\nzBmia+/bb7+Fs7Mz7O3tMXr0aEhJSaG5uRn5+fmIiooiqs6wPgOpHTk/KCsr4/Dhw/T9087ODnp6\nekQZbwCYO3cu1NXVsWjRIsTGxnKpS8yZM4cv1dDJyQnx8fEcfPKff/4ZR48eJcr4svpVmpqacObM\nGcTFxXGYjgCfNx44deoUbGxs8O7dO9y4cQPjxo1DSkoKUYMx0H3Mo6GhQaz60R2+WA5xTk4OXFxc\noK+vDyUlJRQWFuLq1asIDQ3lmYEwNjZGamqqUO995coVVFdXw8/Pj2txkZSUhKamJiMhbRLwcm0y\nMDDA1KlTMX36dK4bEQk/lQlINGrZJeB8fX1RX1/PWAKuO3z8+JEoA8HC7NmzkZaWxrFJqK+vx4IF\nC3Dr1i2iYzQ2NkJKSgpiYmL4/fff6UwZU4L/zJkzcenSJfTt25eWCmptbYWOjg7u3btHdIyMjAyc\nPXsWHz9+xODBg2Fubs7Imx7opCJcvnz5H9m0MQGvGyfJTU5LSwu3bt2iJYnu3r2LtrY2zJw5k+eN\nh338lStXutVurampwXfffUd8jrDGXL16FaWlpVBUVMTcuXPRr18/VFZWorW1VSgZtpqaGmL5ptLS\nUrx48YLWD1VRUSE2B2DhyJEj2Lt3L2RkZDg4iGJiYkT6o2vWrIGNjU23neQ5OTmIiopCUlIS3+Ps\n2LEDTU1N2LJlC8zNzXHnzh3s378fT58+JdpEihJubm4wNDQUqgrHq9GLtKlOTU0Nt27dIlLJERa/\n/fYbpk2b1uPrjx8/5liPFi1aRBSstLS0ICwsDCkpKSgvL4eYmBgoisLAgQNhamoKFxcXYj3kkpIS\nnDhxolsqC1M6GWtu7NUIiqKIKEsfPnwQiqrX0tKC6OhobN68mePe4unpiSlTphAFxKLqV2ECfpz0\nyspK2NraYsCAAfjxxx8ZHZuJ5B0pvtgMcXh4OMLDwzkW3ZycHL6uPcIGwwDoLtoxY8Zg8uTJAh/H\nw8MDe/bswZYtW3oMsFj0DV6LaVlZGVEDyedAnz59aBMBOTk5xhcB0KnkERMTg3fv3nEtckwMMZqb\nm9HQ0MAREJeVlTGai7CZMhb69OmDuro6Di5jdXU1MRfw7du3+O677/Ddd99xPJ+amgpjY2PieYwY\nMUIgykdXCFudETazo66ujsjISI7s6fHjx4k3XaLIUnWVF1JQUKApJKzGJFIXM6DTkSo0NJRL5q+y\nspJIuaa4uBhycnKYM2cOCgoKcP36dVRUVKB///6Mmijj4+MRGxvLiNvKjrVr18LT0xOBgYGYNWsW\nevXqhfb2dly/fh3e3t5EWUSgk+PN2kSKiYmhd+/ecHFxEbhhubm5GaWlpVBQUGBsxy6KKhzLjpuF\n6upqPHz4kJFE3bhx4/Dx40fG2tSCwM7OjmfyY8qUKRg4cCDKy8sxbNgw4k0fSw1m27ZtqK2tpZMO\ngujDb9q0iU5CCdNsJWw1QlxcHCEhIQIH5pKSkt1aGjOxWu4a7L558wbFxcUYNGiQUCopvK6b7gL1\nrspKjY2NyM3NhZmZGb3BJrlmegqG4+LiiBVzuuKLDYjfv3/P5bM9a9YsouaV69ev45dffsG7d+/Q\n3NwMOTk5jB8/HkuXLiX2Z29ra8Pvv/+OkJAQlJeXY9CgQfj222/x/fffE4uKs0oHwhp5GBgYICsr\nCwYGBkIdRxiQyNiR7ti3bdsGiqIwb948oWyKly5dijVr1mDFihUYOnQoPnz4gBMnTmDVqlVE44XN\nlLFj8eLFsLe3h5OTE63fGRUVxVPCjh3fffcdrK2t4eXlxZGx8PHxYRQQGxkZYeXKlTAxMeGS8SGl\nTHRXnVm+fDnf6gw7KisrcfLkSa7g7/Xr10T6oT4+PrC3t8fp06dRX18PfX19SElJETVrAZ1c6rCw\nMGzZsoXOUgGdJWUTE5Nub05dISp5IfY5qaurY9q0afjzzz9haGiI+Pj4Hs1a2JGeno4dO3YgKSkJ\nRUVF2Lx5MyZPnoyOjg7s27cPERERxAGuuLg419rKBLNnz8amTZuwZcsWdHR0QE5ODjU1NZCQkICr\nqytxo5ywm0gW6uvr4ePjg4yMDDrjp6enh+DgYOLAeMeOHVi4cGG3VThSdKddnpubSzeIk0BdXR0r\nVqygTR+YUo2YgFdxuaioCK6urnj8+DHNv58xYwb27dvHWDM7JydHYM3sly9fIi8vj/ie2xMCAwOF\norQJG5i3tbXh9OnTGDBgAObNmwdfX19cunQJcnJysLS0hL29PfFxS0tLsWnTJjx9+hTy8vKoqqrC\nN998g8OHDzOqVJFcN93JXK5YsYL4PXihJ677oUOHaG1iJgkH4AumTFhYWMDBwYGjhJWdnY3o6Gie\nN9Tk5GRERkZi2bJlEBMTQ1JSEqytrVFRUYGkpCQEBgbyvak3Nzdj5cqVqKmpgbGxMQYPHoyioiJk\nZGRAXl4eJ0+eJC75AJ0nXncL840bN4huTPb29rh27RqUlZW5FklRc4Z6KpGQ6D6SlgWnTZuGnJwc\nxlmcrqAoCj/99BMyMjJQVlaGIUOGwMzMjNgZSkdHB0FBQQJnytjR0dGBI0eOcFEeNmzYQMRLnDJl\nClRVVUFRFCIjI+lMJFNXMFHYUS9atAguLi7dVmdIrcJtbW1RV1cHBQUFVFVV4euvv0ZmZiasra2J\nb+wdHR148uQJ7QylqqoqEMdT2CyVqKCqqor79+/jw4cP8PDwwE8//YTXr19j06ZNSEtL4zl2wYIF\n2L17NzQ0NGBmZgZnZ2d6bczOzkZYWBjfY7Cwf/9+iIuLY+PGjUJl3RobG/HgwQNUV1dj0KBBUFNT\n4wpciouLe8xeR0VF4fLly3BycsK2bdsQHR2NqKgoaGho8DTK6Apvb2+UlZVh27ZtGD58OAoKChAS\nEoIBAwYQZ+D+KWOktrY2TJ8+nfjYwlKNmIDXZ7axscGIESPg5uYGOTk5VFVVYe/evaivr8eBAwd4\nHpddMzstLY1DMzspKQmrVq0izgDa2dlh48aNxH0hPUFYSpuamppQgfnu3buRl5eH5uZmKCoqorW1\nFc7OzmhpaUFkZCT09PS4mu16wubNmyEnJwdPT09IS0ujoaEBe/bsQXV1NSN9ZlFcN92BlAKmo6OD\nmpoaDBs2jGNzxqJOMk04AACoLxQ3b96kpkyZQtnb21O7du2iNmzYQKmqqlK3bt3iOW7BggXUmzdv\n6Mf5+fnUihUrKIqiqLy8PMrY2Jjve4eFhVF2dnZUc3Mzx/NNTU3U2rVrqfDwcEafxcrKiqqvr6cf\nV1dXU+7u7tSUKVOIxp87d67HPybIyMjg+kxdERQUxOiYgsDMzIz68OHDP/4+/DBr1iyqo6Pj354G\nRVEUpaamRrW2tlI7duyg9PX1qT///JN+/nNDXV2dam9v53iuvb2dUldXJz6GqqoqVV1dTb148YKy\ntbWlKIqirl27Rn3//ffExyguLqbu3btH3b17l+Pv38CDBw+oX3/9lTp//jzHHxPMnTuXam5uplpb\nWyktLS36+WnTpvEdq6qqSv+/lpYW1dbWRj/u6OggOoaWlhalra1NTZ8+nRo7diw1efJkSltbm+NP\n1OB1/ra3t1NxcXGUoaEhNXXqVGrevHlUVFQU1drayug9Zs6cSdXW1nI8V11dTU2fPp34GNu3b6cy\nMzMZvW9XvHr1iuPv+fPnVHBwMNE9598Ar99GVVW12/sfyXmmo6NDFRcXUxRFUfr6+tRff/1Fv/bX\nX39Rurq6xHN89OgRpaqqStnY2FCbNm3i+GOCuXPn0nPS1NSkKIqiSktLqblz5xKNX7duHfXw4UNG\n78kOHR0dqrq6mvrjjz+ocePGURUVFfRrxcXFxPOgKIrS1tammpqaOJ779OkTpaGhwWhOwl43Dx48\noJYvX07NmzeP0tfXp/T19anZs2dTkyZNIhpfVlZGrV+/nnJ1daVqamro51m/jyD4YikTM2fOxC+/\n/IL09HRUVFRAVVUVnp6efOkHlZWVHCoGSkpKePXqFYBO4fSioiK+752RkYHDhw9z7Qb79OkDDw8P\nODk5McpgfP3117CxscGRI0eQk5ODwMBAjB07FhcuXCAa3xNRvqamhngOQKcdtpeXF+bPnw9TU9Nu\n3cR6cgJbuXIlEhISeDqzMdHrXLNmDUxNTblkvZioKgjLRTY3N8eBAweEzpQBnTJjP//8c7dzIc3s\niIuLIyAggFaX2LNnD2Ob0JqaGpw4cQLOzs548uQJtm3bBgUFBezZs4eYujNq1ChcuXKFozpz5coV\nLsUGXpCRkUH//v0hKSlJcyvnzJlDnB2Oj4/H/v370bdvXy63PBI6i6jsvYFOo56TJ09CRUWFi1rD\npOlRXV2dlk4bPXo0jh07Bmlpaa5roDtMnDgRp06dwvLlyzF37lykp6fT3NSTJ08ScQj/DTtyikcB\ns1evXli3bh3WrVsn9Pt05c13dHQwomNVVVVh8+bNQlXhjI2N6QYyoPPzjRo1Ct7e3nzHitJCWhRQ\nUVHB48ePOXieb968IeLbilIz28/PD5MnT8bUqVOF0lfvidJG6pLo7OyM1atXQ01NjYvSQ/K7tLS0\nQFZWFrKystDU1OSojsrKyuLTp0/En0VSUhKVlZUcDehVVVXdNhDzgzDXjTAUMAAYNGgQYmJicPr0\naSxZsgReXl5CUbmAL5hDDABDhgyBiooK+vXrByUlpR61DdmhpqYGf39/eHt7Q0JCApGRkZgwYQIo\nikJiYiJUVFT4HqO0tLTHfzd69GiUlpYy+hyBgYE0VUNcXBzbtm0j5pYCwjfjsHDu3Dm8efMGaWlp\n2LlzJxoaGmBkZAQTExO+DVMsi0tR8Id+++03DB06lEstgIk0GCA4F5m1Eejo6EBNTQ3i4+O5FhOm\nHGJ3d3e8ffsWs2bNEqiszx442NjY4KuvvoKbmxtRYMcOb29v2tKTpXHbt29feHl5EVMmtmzZAkdH\nR+jo6GD48OEoLCxEXl4eX3thdowZMwanTp3CsmXL0LdvXzx58gRSUlLEG4+TJ08iMjJS4K7/OXPm\noK6urtvXKAb23kBnQJSUlETkvsYLXl5eCAkJQXNzMzw9PbFlyxY0NDTA39+f71hfX1+sX78eFy5c\nwKhRo+Dh4YGEhATU1tairKyM6LdlN+ZJSkrC7NmzMXToUKSmpqKpqYmYasQE3W2eRUm/AjoNI1xd\nXbF161YoKiriw4cP2LdvH+bPn098DAMDA6F7NITRzhelhbQoMGXKFNjZ2cHExAQjR45EaWkpLly4\ngGnTpnE0eHe3wRWlZvabN29w//59oc2GHB0dISUlhdDQULS3t8Pb2xtmZmbEmrnCBuZqamoIDQ3F\nDz/8wHGtvnz5EhEREYwCwUWLFsHe3h7Ozs70+X7w4EHGikTCXjfv3r3D2bNnaQqYubk5Jk+ejE2b\nNmHt2rXE87C2toa2tja2bt1Kc80FxRfLIb537x7s7e0xcuRIumGqqqoK8fHxPG9MhYWFcHR0xOvX\nr9G7d28MHz4c0dHRaGhowJYtWxAWFsY3+Js9ezZ+/vnnbmVWCgsLsXLlStosgBfevHnD8TgyMhLv\n3r1DcHAwHTSRBOhmZmZQV1eHnJwcx05s8eLFjE68rrhz5w6CgoLw559/QkVFBVZWVli2bJnQDQyf\nC4JykUlMVfi5+nWFhoYGsrKyGBtpsNCdTfhff/2FI0eOMOJzzZ49G5cuXUJlZSXmzZuHW7du0VkJ\nEstWFl69ekVXZ5SUlLBw4UJGzaHPnz+Hi4sLfvzxRzx69IjW+3RwcCDiymlpaeH27dsCZ+4LCgqw\nfPlybNy4sUfjC1IZpXnz5iEzM1MojVpRoKmpCVeuXMGzZ884ZNcMDAwYyUCGhITg+vXriI6OxogR\nI3Dz5k0EBwfDwMCAUSBKgu54qps2bQLQye3Oy8vDjBkzaB3x3NxczJ07lxEX8tOnT/D29kZWVhba\n2togKSkJU1NTeHh4CJQ16wkmJiZ8OfS1tbXIyspCcXEx1q5diydPnkBbW1tkcxAlePUnkCqFdFf9\nYslwXr9+HUpKSrSBE8WmmU0qC2lvb48NGzb06ABHij/++KPbuOHu3btEa72amppQgfmHDx/g7u6O\nY8eOcdxfTUxM8M0338DPz4+4mbS9vR0RERH49ddf6fXZ3NwcdnZ2jNYo9uumvb2dtm/39PQkcn7U\n19dHZmYmevXqBV1dXdy5cwdA572QnxV9T5/r4MGDyMjIQEZGBuPxwBccEC9evBirVq3i2PWcPn0a\nycnJOH36NM+xHR0dePPmDTo6OvDVV1+hd+/edFaIBL6+vmhpaen2Yt+2bRtkZWVp21ZeYDmq9fQT\nkWaphGnG6YqqqipcvHgR6enpePjwIbS1tWFiYgIlJSVER0fTzWE94c6dOwgNDe1WfoY0q9rc3IzU\n1FSujHd+fj6jsq65uTmio6M5KDJMIapMmYGBAU6fPk1U/u4O1dXVCAgIgIODA0aPHo2oqCi8f/8e\nPj4+jAJ+bW1t5OTk4OzZszh//jySkpJQUVEBExMTYt1dFxcXhIeHcz2/bt062s6VKUpKStDQ0EAs\nJxUUFAQFBQWsW7dO4JtQdnY2goODkZWVJVBgzcrOHzt2DAUFBXQzCzuY6MWKWlNVUMycORMpKSkc\nQUlZWRkWLVrUo9OWoODVuGVvb48lS5ZwNDnn5OQgPj4eCQkJjN+rubkZtbW1XEYwogK/BtfHjx9j\n/fr1+Oabb/DkyROkpKTA1NQUnp6exGvKx48fcejQIRQWFnJRC5hIUp45cwZmZmZczd9+fn7w8/MD\n0Hl9/JPup6LQzN6xYwdSUlKgpqbGRWXhd810dHSgubkZFEVBV1cXt27dou/FYmJiqKurw4IFC4ia\nlkUVmHc3R2HpeoIiNjYWy5cvh7i4uEDXjZubG3r16gUfHx9s2LAB8+fPh7S0NOLj43Hp0iXi4/zw\nww8wMzODrq6u0N/FF0uZ+PDhA1fGzMLCAsHBwXzH9urVi8MCF+Dv8c6OzZs301IoCxcuxODBg/Hx\n40ckJyejqKiImFP27Nkz4vfkhQEDBqCjowPDhw9Hfn4+gE7qRklJCaPj2NraIi8vD5MmTYKJiQnC\nwsI4boru7u74/vvveR5jx44dMDIygo6OjsAn79atW/HkyRMoKCigqakJgwYNwv379zmscUkgLBeZ\nlSljZXDk5eURHByM4uJixpkylirK0qVLubIfJNIxXl5ekJKSojPM5ubmiIyMhK+vL7HVONDpqLR6\n9Wq8ffsWLi4uePPmDX744Qe+5eCioiKcPHkSQKdDXVfd6/r6ekb0HGtra7i7u9PC/yw5INJu/lu3\nbuHly5c4cOAAV+aEdOM1b948NDY2orq6WiCjEjU1NY4NLbswPlPaBSAaTdVbt25h165dePfuHT0v\npnNpaWnhqgJJS0sLVaoUBHl5eTh48CDHczo6OkSSeOwQBX+fBPzuIYGBgdi5cycMDAygqakJZWVl\nxMXFwcPDgzggdnNzQ+/evaGvry+UJKWPjw8SExMRHR3NIcX166+/0gFxd8GwqLjMbW1tePToEV69\neoWmpia6F+A///kPo74IRUVFYkfJrigrK4OhoSFNIWMPZlnXDKnC0MCBA2kOMdPAHODWk09MTMSl\nS5fQp08fWFhY0N4HJBCVjn98fDxsbW3Ru3dvgVwehaGAsWPkyJEIDAxEfX09jIyMYG5uTiyP2xVf\nbECsr6+P06dPcwQ2v/76a4/lT1FiwIABSEpKQmRkJPbv30/rEM+bNw8HDhwglm5iZbZ4BQDq6up8\njyNMMw471NTU4Ofnx2WtyFocRo0ahaysLJ7HqK2txebNm4XidOXm5iItLQ0lJSU4fPgwoqOjkZyc\nzDjbLSwXOTk5mSNTpquri7Fjx2LRokWMA2JW1aKrJBGpdMzdu3eRm5tL3wSVlZWxa9cuxpJw/v7+\nuHDhAmRlZWFgYIB3797B2NiYrzazkpISKIpCdXU1bVvODgkJCYSFhRHP48mTJ3B0dISbmxuWLFlC\nP08adJFUYEjAxBShKxhL/vCBKDRVd+/eDT09PZiamgpM4dDT04O7uztcXV0xdOhQ2oZaFPKDXcHr\n9/76669x/PhxmvbV0dGB6OhojB8/ntF7CMvfFxXy8/Np/iUrYJo2bRoqKiqIj/HixQvcvn2bkaxn\nd5CWloauri4sLCwQFRVFG9rwu/5EwWV+9OgRNm7cCHl5eaioqEBaWhqNjY1IS0uDr68vDh06hClT\nphAdi30d7m4jxwtDhw5FdnY2GhsbYWFhwSXXKikpSRwIChOYA5x68rGxsTh9+jRWrlyJ5uZm+Pj4\noLS0lMitDhCdjr+xsTF8fX1hZGTElR3++uuv+Y6Xl5dHYGAggM4NA7/YoSds3rwZmzdvxuPHj5Ga\nmgp7e3vIysrCzMyM+XcusD7FfykWL15MWVhYUMbGxtTYsWMpQ0NDau3atZSpqSk1duxYavny5TzH\n6+rqckkJ/ZPSQjExMXz/jYaGBsffhAkTqPHjx1NmZmZE71FVVUV5enpS5eXl1NOnT6kFCxZQM2fO\npK5cucJorsnJyVzPvXz5krKysiI+RmBgIHX8+HFG79sVrN+grq6Olptpa2v7R2SfeEFDQ4Oqq6vj\neK6uro7S0dH5rPOgqE4JuLdv33I89/79e0ZyPBTVKR+VlZXFIfPHFEePHhV4LAtqamrUixcvKD09\nPWrXrl20jBsTGbnm5mbqxo0bVFJSEnX16lWqsbGR8Ty6SrYJIt/W3NxM7d+/n3r//j1FURSVkJBA\nhYeHM5YHE1a6iaI65bCYvm9X1NbWUi4uLtSkSZOocePGUZMnT6a2bt3KdS0wQU1NDdXS0sL1/IkT\nJ3oc8+zZM2rOnDnUjBkzKBMTE2r69OnU/Pnzqfz8fEbvPW3aNKq8vJzxnJmC37lrYWFBXb58maKo\nv6Wjbt26RS1evJj4PaysrKiCggLBJ/n/wZprcnIyNW3aNOrs2bMURVGMpBMpqlPSj10ijATm5ubU\nL7/80u1rSUlJ1KJFi4iP1draSh04cIDS1dWlVFVVqffv31PLly+nysrKGM2JoigqNzeXqqyspCiK\nom7cuMFXwlWUYJdNnD9/PvXHH3/Qj58+fcponVdXVxfqWmVh7Nix3f6NGzeOaHxxcTG1d+9eysXF\nRShJPHZUVFRQP/30E6WnpydQPPDFZYiFVTE4ePAgbG1t4eDggEmTJoloVj3j8OHDfHcxXYW/W1pa\nEBsbi9bWVqL36LoTy8zMFIgjFxwcDIqiYG5ujra2NkRHRyMuLo6R//mMGTOwceNG7Nu3T2BlhlGj\nRuHatWvQ09MD0NkAJSkpSWw5HB4eDhcXF5521iTyXqLOlN24cQPJycm03bGpqSkxR8/Kygp2dnZY\nuXIlhg0bhpKSEiQkJBBnDVhQUVHBiRMnsG3bNqirq0NPTw9z587lkD7ihzVr1uDdu3c4d+4cSktL\nsX37dmRnZ8PCwoLRXMaNG4czZ87AyckJtra2CA8PJ87gvXnzBnZ2dmhpaYGioiKKioogJiaGo0eP\nctGheMHZ2ZnjcX19PTo6OjB+/HicPXuW6Bi+vr74+PEjli1bBqCT0x8aGoo9e/YQSWqxz0UY6Sag\ns9nwt99+Y9Sp3xWysrLYv38/WltbUVtbCzExMQwYMIB4Tamvr8fBgwehoKAAa2trODk54d69exAX\nF4eZmRm8vb3psnhPRjEAMGHCBFy8eBEPHjxAeXk5hgwZAnV1dcZZ3oEDB/5rPEx2bNu2Dfb29tDW\n1kZjYyO2b9+Oq1evdsvH74pTp04BAL755husWLECS5cu5eKrM1HgYcHMzAwjR46Es7MzXr58SZx5\nrq2txa5du5CZmYm2tjZISUnBwsICbm5ufCkPb9++7VHxwNzcnBGNJTQ0FM+ePUNoaCgcHR0xePBg\nDBs2DN7e3jh06BDxcY4dO4b4+HgcP34cCgoKqKmpQVBQEJydnWkFpe4gKrlR9rFNTU0czfQTJkxA\ndXU18WcZMWIEamtrhTa2EkYVBRCdrXZdXR0uXryItLQ0/P7779DV1cWOHTsYu9QBX3BTnTD45Zdf\ncPLkSSQnJ//j78XUSYyF9vZ2zJw5k+7M5IWCggIcPHgQQUFBtK2uvLw8IiIiiEtPQGfJdt26dViy\nZAmysrIgJiaGnTt3EtE2WNDT04O5uTm0tLS4aBOkygy3b9+Gs7Mzzp8/j8uXLyM6Ohq9e/eGgYEB\nzW/jBV9fX+zcuVNoV6e6ujr4+PggOzsbra2tkJCQwMKFC+Ht7c14sTl//jyCgoKwdOlS2u44KSmJ\nizLQFe3t7XTT5+nTp5Geno7y8nIMHToUJiYmjINQ9s+Wm5uL69evIyMjA8rKysQuczk5OXB3d8e3\n336LrKwsZGRk5IK06QAAIABJREFUYMmSJVi+fDk2bNhAdAz266KlpQUeHh54+vQpKioqiDqQbW1t\noaamBicnJ5rHe/DgQdy/fx/Hjh0jmkN3aG1tRVxcHD59+gQ3NzeiMdra2rh8+TLHBrCurg4GBgbE\njYpAZ6Nwv379MG3aNK5rh5Si4+7ujszMTKiqqnLxokmD6mfPnsHZ2RlhYWGYOnUqQkJCkJmZidjY\nWKLNxrZt21BRUYFPnz6hvr4eKioqcHd3R0tLC/bu3QtlZWUiygsvhzBNTU2izwJ0lqCvXLkiMH+f\nFCRrfVFREVJTU2m3SiMjIyL9bl4bB4CZ02R3cy0qKoK9vT1evXpFxDV3c3NDfX09XFxcaJWnsLAw\nDB8+nC9HdMmSJbC0tMTSpUu5Xjt16hRSUlL4NsazMHv2bFy4cAEKCgq0w9ynT58wd+5cLqocL8yZ\nMwcJCQkcSjlv377F2rVrceXKlR7HsdR/zp0712NATJJQmjhxIr7//nuMGzcOWVlZMDExoTWQT5w4\ngbS0NCQmJhJ9lvDwcKSnpwvcO3Pz5k3o6ur2aJ0MkF03wrr3sTB58mRMnDgRpqamMDIyEspN9IsN\niPX19Xs8AUm4fYcPH4alpSWRdrEwENTy89q1a/Dz88O1a9f4/tt169ZBUVER/v7++O6772BhYQFZ\nWVn88ssvjK2b3717BxsbG6ioqCA2NpYxF5i1KAkLlpWumJgYfv/9d9TX10NXV/cf6Q7nh5aWFtTW\n1mLAgAEC73QXLlyIoKAgjg3Ko0eP4O7ujosXL/Y4TldXFzdv3kRAQIDIeLNv3rzB3bt3kZeXh7t3\n70JCQgJaWloICgoiGm9qagpvb29oampCU1MT9+7dw+vXr2Fra0t0vgKdlqtxcXEcz0VFReHgwYNE\nN2QtLS3k5uZyZAtbW1uhra3NSD6uO7S3t0NHR4f4hjpjxgykpKRwrCUVFRUwNzfHjRs3iN9XWOkm\ngLeGL2lQbWVlBTMzM9reHugMVNLT0+lMJS9oaWnh2rVrKC0thaGhIe7du0dvIGtqamBiYoLr16/z\nPU5XOTJBsvcAemxIEsj6lQc2b978WdVAhAHL/pYdnz59wsWLF4n0amfMmIHLly9zyG/V1tbCwMCA\nbyXw+fPncHBwQO/evTF69GhIS0ujqakJ+fn59Ib0m2++Ifocs2fPRmpqKuTk5Oh7T11dHYyMjIjO\nMRamTZuG27dvcwRvLS0tmDVrFqPAWlBkZmbixYsXePHiBZ4/fw4VFRUkJCQgNDQUiYmJiI2NpXne\n/NDT5ol002RsbIzU1FShrxtR2Wq/ffsWo0aNAvB3gkhQfHGUCRZ8fHw4HldVVSExMRELFy4kGk8q\nuP05oKury/G4tbUV9fX12LJlC9H4Fy9eIDY2Fm/fvkVhYSFWrFgBaWlpnpQBdmzatIkj0BwyZAid\npWWR8kkX+iVLluDYsWNYtWqVUGWS2tpaPHv2jG7ykJKSwv379xllhlpaWhAVFYXU1FSUl5dDUVER\nixYtwvr164nmJorggoXS0lIufeuJEyfybahpamrCuXPn8Msvv/Qozs4ky6Wrq4uGhgbo6+tDW1sb\nmzdvZuQwB3TeTFkOVazzRkVFBQ0NDcTH6BoMA53fKen3Kisrizdv3nA097x580YgtYiuuHr1KpHO\nJgtGRkZwdHSEg4MDTa2JiYnh6BongZaWFh4/fiyUdJModIL/+usvrkzSsmXLGDVN9urVC//5z39g\nbm7OEWS0t7cTU5+6VsfYs/dMwCvDx0LXLv+uqKysxMmTJ7mkIF+/fk03Y/FbI3NzcxEQECCQAoio\naGAsWFlZwcPDg+N+2bdvX/j7+xMFxIqKivj48SNHxaCyspJIK3fChAm4dOkS7ty5g/z8fDQ2NkJa\nWhorVqyAtrY2o4ziggUL4OrqCnd3d1AUhcLCQuzbt49Dqo8EmpqaCAwMxNatWyEjI4P6+nrs37+f\n+H4jbILO0NAQhoaG9OOmpiYAwNKlS7F+/XpiDWIAAkkSsiM1NRVA53Xz4MEDFBYWclyzpEkpUVDA\ngE49+P379+PcuXOoqKhA//79YWpqCjc3N8bZ5y82IGbxS9kxe/ZsrFixgm/HPPDPaKkKipCQEI7H\nrJvJsGHDiMaLiYmhvr4e2dnZUFNTg7S0NAoKCohF57vuxseMGcMVpJPi9u3beP78OUJDQyEjI8Nx\n8ZByiIW15WUhICAAz58/h6enJ4YNG4YPHz4gJiYG9fX1ROVwlqUwC9XV1Xj48KFAygTjx4/nUkVJ\nTEzk627m4OCAmJgYtLS0YOfOnVyvM81yLV68GHl5ecjLy0Nrayv9R9I1zMK4ceOQmJjIwV/OyMgg\n0hD99ttvcfny5W5twVkg+Y1XrVoFOzs7rFmzBkpKSvjw4QOOHz8OGxsb4s8BgGsera2taGxshLu7\nO/Extm7disjISOzatYuDzsJ00y2MdJMordOVlJSQm5vLodiTl5dHrOeto6MDT09PBAUFcVCTcnJy\ncOjQIeKkRVdISEhgw4YN0NHRIaazkIK9y787sJzUFBQUUFVVha+//hqXL19mxOHfs2ePwAogLFWX\nruougqKqqgp79uzBy5cvOWTs+BWUWRWCiRMnwsbGBitWrMDw4cNRVlaGkydPdntf7or8/Hx89dVX\nUFJS4jqn3r9/D4BMxQDo/F2CgoJgbW2NpqYmLFy4EMbGxozPDz8/P2zatAkaGhro27cvPn36BA0N\nDWJJS2ETdOx49eoVUlJS6F4TY2NjvmZhXZGYmIjz589z9KuQWiazEBwcjFOnTkFFRYXrPkyyaRKV\nrXZ4eDju3r2LoKAgKCkpoaCgAAcOHEBYWBi2bdvG6FhfLGWiO1RWVsLAwKBH7hm7lmpCQgJXaaG+\nvh5ZWVkiLZHwokycPXtWYA4oO0JCQpCRkUEvcqNGjYK9vT0sLCy4mob44c2bNxgyZAhkZGTw+PFj\n9OvXj9gsAeDt8kbKIdbT04OXl5fQovCamprIysriyBqWlpbC1NSUiJvdHXJzc/HTTz9x6aPyw9On\nT2FjYwNFRUU6gKuoqEB8fDyRpqKhoSEyMzMFmnN3qK+vx71795CXl4cLFy6gV69eyM3NJRr7559/\nwtbWFoMGDcJff/0FNTU15OfnIz4+nq8k1v3796GhoUGfJ42NjRw3YTExMaKM98mTJyEpKYkLFy6g\noqICw4cPh5mZGc2FJMWdO3c4qgWszaggupvCQpiKBIvLyK6F3BWkzbFZWVnYunUrbUhTWlqKmzdv\nIiwsjOi3YTVcBQUFcdwIbW1tMWHCBDg7OwvMK8zOzkZgYCCREygT8OP/qqmp4dq1a/j48SP27duH\n+Ph45OTkICYmBj/99BPxe7CaCwUFyyxBWIc9dXV1pKenw8HBAYqKiggNDYW0tDRfip8ouMys9+jJ\nmIqpfjcLlZWVkJeXF6oyWVhYiIqKCgwdOpQ4IdUTKioqsGLFCkauaqweIH19fbrX5OrVqwgNDSXO\nesfHxyMxMRHr1q2jA8gjR47AysqKkUyZpqYmEhISBLakFwUFDOjUzk9MTORw2ywpKcGiRYsY9WgA\nX3CGuGvpqLW1FdevX+cZdIlaS5UEvPYje/fuxY0bNxAQECBUR6i7uzt0dXUhKyuLSZMmobi4GB4e\nHhxmC8XFxXwv8JSUFPj6+uKnn37CuHHj8PTpU0RERCAwMJA4OO3u+29vb8fr16+JP09jYyMjIfKe\n0K9fP7S0tHA8Jy4uzqj81BVaWlqMNxkAMGnSJGRlZeHKlSuorKyEkZER5syZw9Up3hWsbEpUVBT+\n+usvrtfFxMQYqSoAnefCrVu3kJubi7y8PAwcOJAR7WLs2LHIyspCTk4OioqKMHjwYOjp6RE1O7Co\nFqWlpQgICEBNTQ39Gr/ycUVFBZ4+fQoA2LdvHyIiIjgW+Lq6OsTExDAKiPfs2YNTp04JdP2xTAq6\nUo7YwaQ0KAzdgVW1YKII0xMMDAzw1VdfITMzE+Xl5Rg3bhxcXV2JbOQBQE5OjqvqBQA//vgjo3mI\nIntPCn5lYBkZGfTv3x+SkpJ05WjOnDmMaAqiUAD58ccfYWtrK/B4dgwbNgynTp2Cu7s7rKysEB0d\nzVe3VthyPPC37r6wKgZAJ20lMzOzW+c+kuspKSkJS5Ys4eLGs9YZQDD1DqDznCovL2c0Jjw8HOHh\n4RzrcU5ODiMaSGJiImJiYjgSWVpaWli7di2jgLh///6MKoddIQoKGNAZD3S9Z8vKygpkFPTFBsQl\nJSUcWYZevXrB0tKyR54lC6wU+9ixY7FmzRqh53H79m3MmDEDFRUVOHDgAOTl5WFvb09Lz/DKZKSm\npsLb2xsmJiYICQmhgwVBMGPGDPr/hw0bxhX8Lly4kG9zX2RkJI4fP07vCJctW4ZJkyZh69atxAHx\n5cuXERAQgJKSEo4TVlpamri5cNGiRYiLixPKlhfodIeztbWFo6MjRowYgdLSUsTFxWHGjBkcHbQ9\nBYNdA9DW1lakpKRg+PDhAs1nwIABHI5UtbW12Lp1K09eoKWlJR48eNBjOZdpNmXevHkoKyuDpqYm\n5s6dC1dXVygrKzO6ObHOefZyYEVFBTZt2kRsrR0UFITNmzczsuOUkZFBZGQkqqqq0NzczEUhkZSU\nZExTqKurQ1NTk0ABMeuGQ9oA1BNESXd48eIFQkNDu3WpYkKtGTNmDAc/u729HS9fvhT6szJB13Pp\n38zejxkzBqdOncKyZcvQt29fPHnyBFJSUoyykbKysli3bp1QCiBGRkZCmSWwwFqb+/bti4MHD2Lf\nvn2wsrLiSiDwgijK8iUlJfjw4QMXR5X0Xujp6YkbN25AVVWVI5gn5blevHgRS5Ys6bH6RmriJEiC\nrju8f/+eK4aZNWsWcT8R0Nm4yq6WAXRKsbGs5vmB9e8sLCzg4+MjsCW9sO59LMycORM+Pj7w8vJC\n//79UV1djcDAQI6YhxRfLGXC3t4eBw4coC8CVgPV0aNHiS1khdGFBTqpCunp6bh69SocHR1RV1cH\ncXFxDBs2jJGW4vnz57F3715YW1tjw4YNHIussJIlLJBIAqmrq+Pu3bscJb329nZoa2vzlEBih4GB\nARYvXgwZGRn89ttvWL58OSIiIqCnp0ec2TA1NcXLly85srms7CETDjFJlpkXB7drSa9Xr14YNWoU\nvL29BboYu6KkpAR6enoClQcFxbhx43D//n06AGxpacHBgwdx5MgR4utGS0sL4eHh9Hdw7tw5BAUF\nYfLkycRZwBkzZuDmzZsCb3g2btzIk2JAii1btuDevXvQ1tbmCjCYZP+6Q0dHB1HAJEq6g6WlJUaO\nHImFCxdyleZJ+J3A37QEQTe13VUyuoIkeAsODu6WI+jj48PY/pUf+FEFnj9/DhcXF/z444949OgR\ntm/fDgBwdHSEo6Mj0XuIokm3p/I1040xS5qSHcnJyYiKikJ2djbf8aIoyx85cgR79+6FjIwMVzBL\nus6rq6sjLS2NSzHjc6OrxKeYmBi++uorWFlZ8a0CssPCwgIODg4ccUh2djaio6O5nPR6gr29PcaM\nGQNXV1f06tULHR0d2L9/P16+fInY2Fi+47ve99jXRNImUEB0TekVFRVwcnLCo0ePaFfDGTNmYN++\nfYybqL/ogBjo/NIfPnwIb29viIuLw8/PD9OmTeM7XlBdWHYsWLAACQkJ6Nu3L7S1tZGZmYkBAwZA\nX1+fMQ/52bNnWLZsGb1DZ3LikYBE/m3lypXQ0dGBg4MD/VxsbCxu3bpFrO2qpqaGBw8eoKioCC4u\nLkhKSsLHjx+xatUqXLp0iefYpqYmSElJ4dq1az1yy0SpGyooWL+NsGAaEIui2WLDhg0QExOjrxsv\nLy9ISEgQXzdAZ4Z4y5YtcHd3R0pKCl69eoXt27czUlWIjY1FVVUVbGxsuMphJNkHUUFYrWqgk3d/\n+PBhLgWCd+/eEfOyRQVRaH8Ku6mdN28ePnz4AKB7yhivda2kpIQOyLoLiBsaGhATEyO0tF5XMJXH\nLCkpQUNDA6P+ChKsX7+eKGgRFKw1lle2kOT6mz9/PldZ/vXr11i7di1P/Vp26OjoICgoSChLcEND\nQ5w/f17oNaOn4E1SUhIKCgrQ1tbGiBEjehzfnRdA//79ERkZycgLIDc3F46OjtDR0cHw4cNRWFiI\nvLw8REdHEydh3r9/DxsbG9TX12PIkCEoLS3FoEGDcPjwYZ6fgQXWtcsLglZJhUFBQQEqKiqgqKhI\n9zaw84pJ8MVSJqKiouDm5gZjY2OUlJTAwcEBa9euJW5YiIuLQ1xcHMfJOn/+fLi7uxMHxNXV1Rg6\ndCgyMzOhrKyMESNGoKWlhTG35cSJE4iIiICRkRHs7OyEJqELCh8fH2zYsAEnTpzA4MGDUVZWBjk5\nORw+fJj4GIMHD8anT5+gqKiI9+/fg6IoKCoq8pUXAzoXyAcPHsDe3p4r4BRkg9DS0oKUlBRYWFjg\n/fv32LVrFxQUFLB9+3aineWFCxdgZmbG8dyrV6/g5eVFLJIuKnTXbLF8+XJGzRZAp1OjMNcN0Jnd\nPXToENavX49x48YhMzOTMeVgwIABiIiI4NhoiXoTSAImlZye4OnpCQUFBbpZcvr06Th9+jTtXEeK\nP/74AyEhId3yIUnpDhMmTMDbt2+FojaUlpZi/fr1KCoqwoULF6ChoYG9e/di1apVRAFxUlISli9f\nDnt7e9pcgBSDBg1CXl4eqqqqaH4oOyQlJYnd/9LT04m7/Pmt2exrybt37xAQEMBoLSEFiSmNMBtj\n1hqrpqYm1BorbFke6Ozn4Edx7AmsKsR3332HjRs3wsnJiSsTy4RC8scffyA7OxuqqqpQUlJCcXEx\nHjx4QMcHAQEB2L9/f49rrb+/P4YNGwaKorBnzx44OjpCVlYW/v7+jLwAVFVVcfbsWaSlpaGiogKq\nqqrw9PTk+q55YeTIkdi5cyd8fX3x6tUraGlp4YcffiAKhgHhg11RUsCAvytCI0aMoD/DmTNnEBIS\nQly5ZuGLC4jZL7iAgAB4e3tj0KBBsLa2piWkSHaLgurCsmP8+PHYvXs37t27h3nz5qG6uhohISHE\nQtQFBQXw8PDA27dvERISIpJGMmEwZswYZGVl4cGDB6ioqMCQIUMwdepUvo0W7NDR0YGjoyO9Mw4K\nCoKUlBTRRZaWlgaAGdeRF/z9/fH8+XNYWFhgx44dtIWrl5cXoqOj+Y4XhZU1rxsEk5uHsM0Worhu\nuvLkJk+ejHv37iEiIoI+R0hpBqGhofDz84O2tva/aqtLoi/LDy9evMCdO3dQWFiIXbt2wcnJCTNn\nzoS/vz+cnJyI57J9+3aMGTMG1tbWjK45dowfPx4rV66Evr4+l0sV6W8jzKYWABQUFODv7w8XFxcY\nGhoyylb37t2b5g7v3r0bnp6exGO7wsfHBwsXLiQyC+KnFMG+lnh5eTFeS0QFYTfGLHkwYddYdXV1\nREREcJTlIyMjic0jgE6b5gMHDmDjxo2M1wBjY2OOKmLXSowgG+vg4GCOBEhmZiYyMjIQERGBa9eu\n8fyOnz9/jpiYGIG9AFgwMjJCamoqNm/ezGgcO06dOoXIyEiYmZlh2LBhKCoqwrp16+Dn5yew5CET\nsKyuV6xYIZLjPX/+nA6K3717By8vL7x584ZL6o4EX1xA3HVny7ogtLS0GO1wBdWFZUdQUBDCwsKg\nrq4OZ2dn/Pnnn6ioqMCuXbuIxpuamkJXVxeRkZEizTIIg+LiYvTu3RuDBw8GRVG4f/8+Xr9+TXxy\ne3h44Mcff4SYmBh8fX3h6+uL+vp6BAQE8B3L4oGJqhxz69YtWpbrt99+Q05ODvr37w8dHR2i8ceO\nHcO6detQUFBAW1kfP36ckZV1d5kYFphQL4RtthDFddNVlWXIkCEwMjJCfX090RzYISYmhsWLF/9r\n1RAWRKEvKy8vjz59+mDkyJF05kpVVRUFBQWM5lJYWIhz584JtUFgma4AgmvWCrOpZUFDQwMRERFo\nbm4WmL7h6elJN3BWVlYiMjISCgoK2LBhA920zAsDBw7EypUr0dDQ0GOAwWru4ScXKOxaIioIuzFm\nGW+wfksPDw+BqiQeHh5Yu3Ytzpw5w1GWP3ToEN+xLPWQjo4O1NTUID4+nktGjh+HWBQKFey4e/cu\nVxPn/PnzaXdQPT09nmutsF4ALMjIyKCkpEQo1aljx47h6NGjHHKexsbG2LZt22cJiEWpeAN0fh57\ne3usWrUKT548gYmJCQ4ePMiIm83CFxcQiyp7uG3bNtjY2CAxMZFLF5YUioqKHDvAqVOn4vDhw1zd\n3T3Bx8dHZCeNKMCyzmXdbNra2tDW1gZ1dXXigLi1tZVuMpGTk6ObrEgtfUWJhoYG9O3bF5cvX8bX\nX3+NwYMHo76+njgI++abb5CQkCCUlbWoztdRo0bhypUrHM0WV65cIXaZE8U8mNw4/fz84Ofn1+Pr\n69evx969e2FjYwM5OTmOYP1zcogfPHjAoS+7e/duGBgYICYmhvgY48ePx/79+7Fx40YMGTIEly5d\ngpSUFOPPMWXKFLx48YIxL5wdoqCA9LSpJd3oA52a78rKypCVlcWff/6J5ORkSEhIwMDAgPjzsTct\n79ixA/X19RAXF8fOnTuJPierQez333/nUMwQBMKuJaKCsBvjrtQQQdeF//znP8jMzMT9+/dRWVkJ\nRUVFTJkyhejeR6pEQ4Kamhrs2rULDg4OGD16NKKiolBQUABvb29GQaWioiKSk5OxePFi+rlff/2V\n5qg+f/6cp7qJmZkZzM3NaS+AP/74A/b29nS2lBQjRoyApaUlxo8fz9XkS6rM0NTUxEUXGTduHCor\nKxnNRViIggIGdMqnxsfHw8nJCerq6kI11H6xTXWiQGVlJa0Lq6ioiDlz5kBWVpY4ayfKZprc3FwU\nFRVxLShLly5ldJyeMH78eL4ZQF1dXYSHh6O1tRUXLlxAQEAAgoKC0Nra2q1LWnewtLTEsWPH6MWo\nqqoKAQEBuHz5Mh4+fCj052ACJycn9O7dG8+ePYOVlRVMTU3h6+uLfv36Yf/+/T2O66orW1JSgseP\nH0NPT4+xlbWoIIpmi88Jfk1K2traqK6uFriDWVTQ1dXFzZs30djYCAMDA1y/fh1AZ+actDG2sLAQ\nXl5eCA4Oxl9//QVnZ2e0tLTAz8+PQ2avJ7A21R8+fEBubi4MDQ25sh9MFC/Onz+PxMRElJeX4+TJ\nkwgLC4OPj4/AZg5lZWWQlpYmDjBSU1Oxfft2SEhIwMfHB4GBgZgzZw4kJCSQnZ2N4OBgomymqJqW\no6OjiZUgeoKgawlT8LtuhFUh6Hp8TU1NxjxM4O/rpitI6CnsSEpKog1gUlNT0dTURHTNsLBx40ZI\nSUnBy8sL8vLyKCwsRGRkJNrb24ld5oBO7rajoyOGDx9O0wxKSkoQGRkJGRkZrFixAgEBATAyMurx\nGLdv3+bwAnj06BGHFwAJhFFmYNHifvzxR7x9+xYeHh4YOHAgamtrsW/fPgwaNAibNm1iNB9hYG5u\njjFjxmDBggVcFDASxZuuOuTt7e2ora1F//796SoaE9Up4AvMEIsKrIYp9ovv1atXsLOzI26YYm+m\nKSoqgqampkDNNO7u7rh+/TpUVFQ4yqViYmIiC4hJSoxNTU3Q0NCgDRDExcXh6uoKQ0ND4oB4woQJ\nWL16NY4ePYqrV69iz549mDhxIn799VdhPwJjBAUF4ciRI1BVVcWaNWvw8uVLjBgxAq6urjzHidLK\nmpfHPQsku+WZM2cK3WzxOcFvH3727NnPNBPeEIW+rLKyMt0cOHToUNoWu2/fvkTjWdSGvn37Yv78\n+WhvbxeY7hAbG4uUlBTY2toiICAAMjIyKC4upp3jSPDs2TMEBQUhISEB586dw44dOyAlJcVVqu8J\nBw8exLFjxyAmJoaVK1fi0KFD9Li7d+9i165dRAGxsE3LLLOF/v37cxkvsEBquiDoWiJqbNmypceN\nsSBgopZTWFgIV1dXUBSFyspKrsC1oaGBEfUvJCQE169fh7a2NoBO6lFwcDCKi4uJZbnu3r2L3Nxc\nOuBSVlbGrl27GCtXaGho4NKlS7h69SpKS0uxcOFCzJ07F/369UNlZSUyMzMxdOhQnsfg5wVAAvbP\n3dLSwohuxKLFsa6PtLQ0iIuLo62tDRRFoU+fPp81IBaWAibKSgIL/wuIe0DXhqlDhw4hNjaWEYVB\nVM00V65cQUpKCpevuyhBsvApKiqioKAAI0aMQHl5ORoaGiAuLo6Ghgbi9/H390dQUBDmzZtHd4Tz\n2lX/k5CVleXgDo4bN46rQ93ExAQpKSkcz/FbjEkpMcDfTSx5eXnIzc2FnZ0dhg8fjuLiYsTHx2Pm\nzJlEx9mwYQNMTU2J+ZP/Nvidb/+GbE93cHd3h4uLC2bPno2NGzfi+++/BwBGGcW2tjZcvHgRb9++\n5To3SG7s7OX/+vp6SEhIoE+fPnj79i0UFBSIHABZSExMREJCApSUlLB7927IysoiIiIChoaGxMcI\nCgqiueWRkZEIDg6GvLw89u7dSxQQl5aW0sYKYmJiHOf49OnT8fHjR6J5CNu0zM/qnNR0ASBbS0QB\nfq6TM2fOxC+//IL09PQeN8a8XEnb29s5ZNHa2tq4ZNJ6+o2VlZXh4OCA6upq+Pn5cX13kpKS0NTU\n5Dl/diQnJyMlJYUOonV1dTF27FgsWrSIOCCWkpJCUVERB3WstLRUoGpIaWkp8vPzUVxcjKqqKnz1\n1VeYOHHiZ+3vaWtrw+HDh5GYmIj6+nr8+uuv8PDwQHh4OAYNGsRzrKjoeaKCsBSwKVOm8JUIZIr/\nBcQ9QBQNU6JqplFSUkKfPn0YjfknsGTJEnz//fc4e/YsFixYADs7O0hISBB1DrOL8VtaWqKkpAT5\n+fkYPXo0/ZowNpD/FAoLC3t8TRSUGFZpKCAgAKdOneLIMmhqamLJkiX44Ycf+B5HV1cXCQkJ8Pb2\nxrfffgvmJl2SAAAgAElEQVQTExNGLm//Q/eYMGECLl68CKCTv6epqclYX9bDwwM3b96Empoah3wd\nU63q3NxcODs74/jx45g8eTIyMzNx9OhRREdHE2tENzY2YuDAgQD+ztJLS0sz4rq+evUKCQkJ+OOP\nP1BdXU0rRZB2vo8aNQqXLl1Ca2sr2tvbcfXqVcyfPx9AJ51DWVmZ6DjCNi2LwmaYBV6VHiaByN27\nd5GYmIiysjKEhYXh1KlTNB0D6KQQ8MOYMWN4/ha8XEkHDhzIUe2Tl5fneMzLqAj42+xozJgxmDx5\nMt+58kJ3GVBpaWlGsqVWVlaws7PDypUrMWzYMJSUlCAhIYFRUywgOllLYREaGopnz54hNDQUjo6O\nGDx4MIYNGwZvb2++DYv/LUkGFgVMVlYWq1evFpgCJiqJQHb8LyDuAaJomBJVM42vry/Wrl0LY2Nj\nrhNHVJQJEqxatQoTJ06EvLw8PDw8cOTIETQ0NGDVqlV8x3aVwWHB3NwcgGAyOJ8DvIIWUenLAp3l\n366ZXYqi8OnTJ6LxK1euxMqVK1FYWIi0tDSEh4fD09MThoaGMDU1ZST+/j+AL2+yoqKCONt1/fp1\nJCYmYtSoUULNKSgoCKGhoXSgYW9vj2+++QYBAQE8XezYMXPmTPj5+WH79u0QExNDW1sbQkND6bI0\nCaSlpVFcXIyMjAxoampCUlISz58/J86U7dixAxs3bkRVVRWWLVuG33//HSdOnEBLSwtevHhBXArt\nqWmZKZqbm5Gamsq1sc3PzyeeS1eJp6qqKiQmJjLq2j937hzCw8NhZWVFmw9dunQJDQ0NPA1imIJX\nQHnlyhWRvMfw4cMRGRkplFyhnp4e3N3d4erqiqFDh9KcXSZ0BycnJwwcOBDp6ekoLy/H0KFDsX79\nelhYWDD6PMKqd4gKaWlpuHDhAhQUFNCrVy9ISUnB398fc+fO/WxzEBY9UcBInTtZELUMK/C/pjou\niLJhitXNKmgzDfucbt++jdGjR3NxiHvivjEFiRNTWloadu3ahZqaGgB/L6z/rcGsKMDre1FVVeWg\nxBw/fhwPHz6Ev78/8aLPgpeXF16/fo0NGzZgyJAhKCoqQnR0NDQ0NBhrrRYVFeHixYs4d+4cioqK\nMHDgQEhKSsLf3x9qamqMjvVPganz1+cGe4BYW1vLtRFlYh+rr6+PtLQ0odUxWC6P7OtTR0cHtLS0\niBufampq4O7ujhs3boCiKIiLi0NDQwP79+8nDmiPHTuGiIgItLW1IS4uDn379oWNjQ3c3NxoSgk/\ndHR0oLa2FvLy8qAoChcvXsTHjx+ho6NDbBpSVFSEmJgYvHv3jouKcuLECaJjAMDmzZvx5MkTKCgo\noKmpCYMGDcL9+/exePFiRsoZXVFRUYEVK1YgIyOD6N8bGBggMjISY8eOpZvZiouLYWlp2W2DmqD4\nHNeera0tl1xhZmYmrK2tiRtA6+rq4OPjg+zsbLS2tkJCQgILFy5krBDBDyTuf9OmTcO9e/c47r8d\nHR3Q1NQUuSsiL8yePRupqamQk5OjGxTr6upgZGREN/z+X4Go3PuAzmpCZWUl1zrAlGb6vwxxF4iy\nYUpOTq7bZhom5h4AcOPGDWRnZ9OlTqZ48uQJ3/IVyb5oz5492Lx5s9Cl+IKCApSUlNDvycociEqo\n+3NBVJQYoDPDFBYWhp07d6KsrAxDhgyBmZkZMde8pKQEmZmZSE9Px4sXLzBr1iw4OjpCX18fkpKS\nOHnyJJydnUV6YxUGpA1l/xbu3LlD/7+mpibHY6ZgBYtr1qzhMsNgQhMaPXo0Lly4QFdVgM5NKhP6\nRv/+/REbG4vy8nIUFRVhyJAhjJt71qxZg2+//RbS0tIYNGgQKisrcfz4cUyaNIn4GL169YK8vDyA\nzs0F0257oFMak6IozJs3T2CjEqCTipKWloaSkhIcPnwY0dHRSE5OpjNQgkJMTAzl5eXE/766upo+\nH1ibnkGDBqG1tVWoefwbEIVcoaysLMLCwtDS0oLa2loMGDDgH6GAkbj/CStrKSosWLAArq6ucHd3\nB0VRKCws/OxZalFBVO59Fy5cwK5du9DQ0MARx/yPMiEC9ETWZyotBABz587l2IlLSEhATEwM5ubm\njHaVysrKjO2e2WFvb49+/frBxMQEJiYm3V7EJGWo9vZ2WFlZCaWtKQot4/8WiIoSA3Q2nGzbtg3b\ntm0TaC5z586Furo6Fi1ahNjYWC7t3jlz5jCSohIU1dXVkJCQgIyMDPLy8pCdnQ05OTkYGxtDRUWF\n/nf/LYE5CZhyfbsiMDAQAHdpj+mCvXXrVjg4OODEiRN0CfnDhw98s1vsSE5O5nicn58PoHNtUlBQ\nwNSpU/k2HBkZGcHMzAzGxsYAOm22/w3joOfPnyMnJ0fobKGEhASGDh0KGRkZ2tDBxMQEwcHBxMfo\n6jjW2tqK69evY/r06cTHUFdXR2RkJIcyxfHjxxm5u/23QEZGBv3794ekpCRevnwJoHMNYiIPCHQ2\ngZ4/f562oTY1NcXq1av/iSnzhKjVOwSFu7s7goKCYG1tjaamJixcuBDGxsZwc3P7rPMQBUTl3nfw\n4EFs2rQJ5ubmHD0aguB/AXEPEFRaqLCwENbW1mhvb8enT5+4NGCbm5sZN4+ZmJhg9erVMDU1Rf/+\n/Tlu0CQc4hs3biA3Nxfp6emwtLSEiooKTExMsHDhQjrrTEIDsbGxwb59+2BjYwNZWVmO10iDwNOn\nTyMhIaFbLeP/RvDaiHh6esLb2xvV1dVwc3PjoMQIgvPnz+PMmTMoKytjrA+blZWFgwcPwtrautvy\n04gRI3DgwAGB5kWK7OxsuLq6ol+/fnB1dcWePXtgYGCAyspKWFlZITo6mlGX+ZcCUblmTZ8+HZcu\nXcK1a9doPuScOXPoTCsJEhMT8fDhQwwePBiKioooKSlBSUkJFBUV0dzcjNbWVhw+fJhn8/APP/yA\ntLQ0HDp0COPHj4eJiQm+++47RvMQBUaMGIHa2lqhA+JRo0bh2rVrdINrQUEBJCUl0d7eTnyMkpIS\njgawXr16wdLSksskgxd8fHxgb2+P06dPo76+Hvr6+pCSkmKUVf1vgSjkCuPj45GYmIh169ZBSUkJ\nBQUFOHLkCJqbm7F+/fp/cPZ/g6VgoK6uTgfnDQ0NmDx5Mtzc3D57o1qfPn1oM5zKykrIy8v/n22c\nFpV7H4uaJIrv4X8BcQ8QVFpIWVkZcXFxqK2txfr167kCTUlJSYwdO5bRXK5du4b+/ftzyd+Q6hD3\n6tULs2bNwqxZs7Bz505cv34dUVFRCA4OxowZM7BkyRIsWLCA73EGDBiAiIgImgYCMO/mFIWW8ecE\nr8y5tLS0UPqy7BBWH1ZU5SdhEBERgdjYWJSUlMDT0xNHjhyhubg5OTkIDg7+bHP5b8DNmzehq6vL\ndd2yg0SmjB0URaG1tRWNjY2or69Hc3Mzo/FfffUV9PT0sGHDBvq5Y8eOIT8/H/7+/vj5558RFBSE\nM2fO9HgMfX196Ovr49OnT7hy5QouXryIyMhITJ06FaamprSk4j8NPT09rFmzBqamplxUFFK5NKCz\nR8PZ2Rnnz5/HqlWrYGFhgd69ezOSg2xoaEBQUBBN3WhpaUFUVBSWLFmCJ0+eEB2jra0N58+fx5Mn\nT1BUVITBgwdDVVVV6KxXV3yOtiFRyBUmJiYiJiaGgxKkpaWFtWvXfraAuCdLewA4cODAZ+ufCQ8P\nh4uLC8/sKdPs+7+N/9fenUc1dW5/A/9GIyJWLVQLKE5LvaJSe1FQRCpInQUE0VZbJwQB50pB8adM\ntSIWh1oRBBxwwEqLQyUySFERBUUUvdVWe3FgCWJQJiEXC0reP1jJSwjIOeSQBNiftboWCTmnT0g8\n2Xme/ezNVfe+zz//HAKBAHZ2dgqPiTbVNcLMzAzXr1/HgwcPMG/ePGRmZkJDQwPGxsbIzs5u8njJ\n7mB7e3uUlpZi06ZN+Ouvv2BtbQ1vb2/OL3JNqampQXp6OuLj45GSkoJevXrB1tYWvXv3xqFDhzB4\n8GAEBwe/9xzjxo2Dh4cHzMzM5L6NMf2mbGtri9DQUPTt2xdmZmZISUkBn8/HuHHjlLbJismSDJOL\ny6effgoTExPY2tpi8uTJze70BdT+o5bUh5VslpCUtGKSvzp+/HikpaUhNzcXtra2uHnzJrp06aLU\nzWuS/5dIJIKpqSn++OMPaXqNWCyGqakpo3w9dVC3TOC8efMQExMjF0g0tdJjY2MDgUAgLUVVX1Ml\nrOr7z3/+A2dnZwwaNEha+iknJwcHDhxgXA7SzMwM165dk0l7evfuHczNzXHjxg3WG4WysrKQmJiI\nS5cuoVOnTujduzf+/vtv+Pn5SUuptZSFCxc2eD+Px2O1qQ6onQns3LkzOnTogOzsbFRUVMDCwkIa\nDN26deu9pe3c3d0B1KaE3blzBz4+PuDz+fD392dcEm/cuHFITk7mdMNYQ44dO9bo344r//zzj0yp\nUKFQyLpc4ZgxY5Ceni7zWVlVVQULCwtW3e6a8r5rZH5+fpPHK2OW2M/PDwEBAXLVRupWZuCiLbuy\ncdG9z8XFBVevXkXv3r3lUrfYTsDQDHEjFCktFBsbi+DgYHh5eQEAtmzZgoKCAmzcuBEnT55EaGgo\nq44wVVVViI+PR2FhoVwJm927dzd5vK+vL5KTk6GhoYEZM2YgKioKw4YNk/5+yJAhjHaH83g8zJ49\nW6EcYkVqGXOluV2+6rty5QoSExNx6tQpBAQEwMrKCra2tpgwYQLrLzyK1oflavlJEXp6erh79y4+\n/fRTXLhwQWZmJS4uTukbUBRRv0xg/dlCJjNDAoEAQO3mm9u3byMvL09mGZ5tbvK2bdvg7e0tUzIq\nNja2yRndunr06IGMjAyZjcLXr1+Xvk+eP38uV1Gjvjt37iA+Ph4JCQkQi8WYMWMGfvzxR+nG3aSk\nJGzevLnFA2Iu6wjXTflqqBLLsmXL3vvFMiQkBJ6enrCxsYFQKMTy5cuxdOlSVteBvn374v79+xg7\ndiy7waP2C3VKSopcO9u6JFVRWjoYBmpncs3MzDBx4kRYWVk12cWtIaNGjcKePXuwbt06dOjQATU1\nNfjpp5+U+lmhLrV7JaunK1asaLQyQ2vERfe+mTNnctbci2aIG6FIaSF7e3ts2rQJpqamqKysxJgx\nYxAREYFx48YhNzcXS5cuZTUztG7dOmRnZ0NHR0caON2+fRsODg7SDTvvs3HjRtjZ2TV6sayoqMCT\nJ0+arEQRFRWFgoICODk5yW3aYrOR7NatWzAyMgKPx5PWMnZyclLJxhyuCIVCJCcnIzY2FgUFBZg+\nfTrmzJnDeOe9l5cX+Hw+vL29MXnyZKSnp+OHH35AUVERdu7c2eTxwcHBSEhIkC4/DRgwAO7u7nB0\ndMTq1asVfXqMxMfHY9OmTUhPT5d5Pzg5OeH+/fsICwtjPFvWlmzfvh3R0dEYOHCgXGMONjMYpqam\nuHHjhszqzLt372Bqasp4FeDChQtYv349LCwsoKenh4KCAqSnp2Pbtm0YMmQIFi1aBFdX1/duXBo1\nahQmTZoEW1tbjB8/Xm61qKCgAEeOHIG3tzfj59ZcmZmZ+OWXX1BYWNhgIwuuNLYyWLdL1rt37+Dj\n44OXL18iNDRUmj7B9Nr49ddfIzs7G7169ULPnj1lrq9NvU+ysrJgYmLy3plTNhv8FFVYWIi0tDSk\npqbi+vXrMDAwkAbHTBt2SD4rKyoq8PHHH6OwsBA9e/bE/v370bdvX87GOnfuXEYNT9TBsmXLoKen\nh++++w7Tp0+Ho6MjunXrhtjY2HaVjtZSKCB+j2fPnsmUFnr+/DmjAGf06NHSJccbN25g2bJlyMrK\nkubVMU27kDAxMYFAIEBhYSHCw8Oxb98+nD59GomJiax2mCvKzMwMpaWlcjlVbPKoHj58KJdD/ebN\nG+zZs6fZFRYUochGNoknT54gPj4eSUlJEAqFmDp1Knr37o2YmBjY2Ngw6jTXWH3YnTt3Mi63x8Xy\nk6KePn0q14AiNTUVI0aMaLK1aFtlamqKY8eOwdDQUKHzzJw5E999953Ml4qsrCz4+fmxKhEmeb8W\nFhZCX18fNjY2MDAwQEFBAQoLC5tsffzmzRu1aA9et5HF4cOHceHCBSxZsgTm5uacNrIAGl9WNzQ0\nbDDHVLK6wOba+L7mKg4ODqzG+88//8jVZFW0DnZzvX79GgcPHsTRo0fx5s0bVjm31dXVyMrKQnFx\nMfT19TFy5EhUV1c3+VzaYs4toB6pcermwYMHCA4ORl5eHt6+fSvzO7ZNOyhloglPnz7FkydPANSm\nKRw/frzJ8mAdO3aUtp3MzMzEyJEjpcFwcXEx6wsTn8+Hnp4ePvjgA+mOdTs7O+zYsaMZz6j5Tp06\npfA5li5dikOHDkmD4uvXr8PHxweamppKD4gV3cgWERGB+Ph4PHnyBJaWllizZg0sLS2lM0Pm5uZY\nvHgxo4BYUh/25cuXKCgokNaHraqqYvx8uFh+UpQkGK5bKH3IkCGoqqrC8+fPWRdKbwt69OjBSVvy\n5cuXw9XVFQ4ODujTpw/y8/Nx9uxZ1ptR+/TpA0dHR5mASfLa6OvrN3pc/aZFDWHatIgL4eHhiIyM\nxNChQ3HkyBF89NFHiIyMxJw5czgPiBvDZZcstkFvQ+o3TwKa38ZWEdeuXcONGzeQmZmJhw8fwtDQ\nEEuWLGHVEXH//v1wd3eXua5du3YNvr6+Tf7dJWlxOTk5za7fr47UITVO3Xh7e2PIkCGYN2+eQvXI\nAQqIG6VIvVwTExMcOnQINjY2OHfunEzO1v79+1mXnhowYACuXLmCCRMmoKamBnl5edDQ0FB6qTIu\n8qk2bNgAZ2dn7Ny5E+fOncP58+exfPlyODs7czBCdmJiYqQb2QIDA9GtWzfs2bMH06ZNY3T81atX\nsWDBAkybNq3BjTAGBgaMaypaWFjg6tWr6NWrF3r16iVzP5cbSJShfqH05syWtQWS5XRHR0f4+vpi\n7dq1cvm5bL4c29jYoEePHoiLi8OTJ0/Qu3dv7N+/HyYmJozPUfe1kWD62jDtIKcs6tDIgsscU2tr\n60a/cDANvLlqnqQoZ2dndOnSBY6OjtizZ0+zcohjY2MhFouxfPlylJWVITAwEElJSdINjO8j+ZJ4\n//79JmvwtyZcVWZoS/Ly8nD69Gkqu9aSFKmXu379eri4uGDPnj0YM2YM5s2bB6B240NlZSVOnDjB\naiyrVq3CN998g7Nnz0rLAvH5fMyYMaNZz02V7Ozs0KVLF7i4uGD48OGIi4vjNB+MDUU3sjW1k11H\nR+e9G4vy8vKwbt06iMViFBcXy7XzFolErTKvmstC6a2ZpGST5L1Vd0m8uV8QJOUTm0uR16Z+06J/\n/vkHhYWF0NbWbvHKCA1pS40sgNrNz3WVlJQgJiaG1XWei+ZJXEhMTMT169dx/fp1ODo6QldXF2PH\njsXYsWMZlxqMjo6Gk5MTcnNzkZaWBkNDQ9afF2lpaUhPT8f58+elNfjt7Owwffr0Vjlz7OXlBQsL\nC5nUuI0bNyo9NU6djBw5En/99RdGjBih8Lkoh7gRJiYmyMrKQlFRERYvXgyBQACRSIRp06YhLS2t\nyePFYjFKSkpkApr4+HiYm5s3q4C9SCRCly5d0KFDB2RlZaGiogKWlpYKd9FSlujoaJnbGRkZyMzM\nxMqVK6UfzGxqh3JB0Y1s9fMH62Ia6Fy8eBGlpaXw9/eXW/rW0NCAqakpPv74Y0bnUhejR4/GzZs3\nW23BeK5wVbKJSVtWpjOIXLw2FRUV8PPzk1aZ6NChA6ysrLB9+3alBsYFBQVwd3fHixcvUF5eDj09\nPWkjCyZBU3Z2doMVJRrCdt8HVyRNBxISEhg9PiIiAiUlJQo1T+KaSCTCiRMncPDgQZSVlbH6Elhc\nXAxnZ2fo6Ojg4MGDCo2jqqpKWoM/JyeHVQ1+on4kq6/5+fm4du0apk2bJrcCxzZPvP1O3zRBX18f\nz549Q9++ffHq1SuIRCLw+XyZpcb34fF4crN7bGd0v/32W3z33Xfo2rWrTI4QmyVSdZGYmAigdvdx\n9+7doampiaFDh+L3338HUPv3UnZAvHnzZnh5ecHMzAxisRj//ve/YWJigl27djE6Pi4uTuZ2SUkJ\njhw5Iu14xYSkRu2QIUMY775Wd1wWSm/NuFpOr6iowNu3bzFlyhRYW1srlCfHxWsTFBQEkUiE8+fP\no0+fPnj27BmCg4MRGBiIwMDAZp+XLX19fYUaWbi5uSEzMxP29vZyLa3ra6pGe0vh8Xh49eoV48dz\n0TyJC3fv3sW1a9eQnp6O+/fvw8jICMuWLWN0bXR0dJSZaKisrMS1a9cwa9Ys6XufTUWFhmrwr169\nGr1790ZYWBiSk5NV9vqS5pPkiWtpaWHy5Ml49+6dwiVVaYa4EUePHkVERAROnTqFffv2IScnB506\ndULHjh1x6NAhpYxh4cKFeP78OXbs2MF4JkPdmZqaIj09XeHkdy69evUKz58/l25kU0RFRQVmzZrF\nerNNcXExjh8/DqFQKFdr+vTp0wqNSdm4LJROat8HaWlpiIuLQ1ZWFqysrGBnZ9esL8ZcvDYWFhZI\nSEiQmYEsKyvDlClTcOPGDdZjUkRGRgbGjRuHoqIi7N27F9ra2nBzc2NUBWPChAkwNzfH+fPnG63N\nq8xKBPX3G1RXV+PKlSsYPHgw9u3bx+gcXDRPUoSkAsnYsWMxZswYTJkyBWPGjJGZuWtqplqSWlRR\nUdHgioNQKGSURwzI1+C3s7OTqcH/4MEDzJ8/XyWz/6RlSL4ANgfNEDdi0aJFGDFiBD788ENs3LhR\nWi930aJFShvDsWPHcOTIEbi4uMDJyQkrV65sNSkSjZk0aRIiIiJgZ2eHjz76qNm1jLmSm5uL06dP\no7CwEN7e3jh16pRM4wO2SkpKUFFRwfo4Ly8vlJeXQ1tbGyUlJRg8eDBSUlKk+eetCZeF0kltlZmJ\nEydi4sSJEIlESE5ORlhYGJ49eyb9kGfaAYyr16ZugxGgdhZO2V9yg4ODER8fj0uXLsHHxwfl5eXg\n8/kICAhg1LUrODgYcXFx0vQ2VSspKUF5eTk6deoETU1N5OfnY+7cuaw2THHRPEkR5ubmuH37NsrK\nypCcnIzk5GTpNZ7JTHVRURF0dHQgFosREBAgV7WkvLwc4eHhjAPi6upq7Nq1q9Ea/AYGBqy7GhL1\nkpeXh5CQkAablYwcOZLVuWiGuBH1y9fUrS+p7J3yT58+ha+vL96+fQsXFxeZix3TDQrqwsTERBow\nsrlQtoTU1FR4eXnh888/R1JSEhISEjB37lx8/fXXcHNza/L4+mWoqqurcevWLVhbW7Nuo2lsbIzL\nly+joKAAO3bswIEDB5Camorw8HDWmzDVRVVVFQoKCtCvXz9prinhzp9//on169fj0aNHSv23ExAQ\ngKdPn2L9+vXQ19dHfn4+duzYgQEDBsDPz09p45gyZQqOHTsGLS0tmJmZITExETo6OrC2tmY1U715\n82Z8//33LThSZq5du4ZVq1bh6NGj+OSTTxAWFoaoqCiEhoYybmjDVfOk5iooKJC+JxrzvpnqN2/e\n4Ouvv0ZJSYn0XHVpaGjAwcGB0fWZtA8uLi7Q19fnpFkJBcSNsLCwwMqVKxssX6OKdo6JiYnYsGED\ntLW1pePh8Xic1sFUhuZeKFuCnZ0dfHx8YGpqClNTU9y8eROPHj2Cs7MzLl++3OTxISEhMrc7dOiA\nAQMGYPLkyaxnyyRl1yorKzF16lRcuXIFQG0LVGUvQytKJBJhy5YtOHfuHDQ0NHDmzBksW7YMERER\njGcyScPKyspw4cIFCAQC3Lt3D5aWlrC1tcXEiRPfexyb1r5N+d///gcfHx8kJSXh7du30NDQgJ2d\nHf7v//4PWlparJ9Tc40ZMwaZmZlITEzE7t27kZSUhKqqKsalClNTU5t8jDInHGxtbeHh4SHzWl68\neBF79+59b9OOurhonqQuVq1aJXeNJaQ+LpuVUMpEI9SlfM3Lly/h4+OD7OxsbN26FTY2Niodj6LU\npTc8UDubIcnDlHyADBw4kPHGSUkZKi7KTw0ZMgTR0dH46quvoKWlhT/++AOampqtclY1MDAQ1dXV\nSE5Ohr29Pfr164epU6ciICAAR44cUfXwWp3//e9/SElJgUAgQGZmJkxNTTF79myEhYUxDkC3b98O\noLaDl6LvKS0tLezcuROBgYF4/fq1XJthZRk2bBgCAwNx8+ZNTJo0CaWlpQgODm6y055E/aoudVes\nJLeVOeGQl5cnt+nMysqKVcMiLponqQsKhgkTXDYroYC4EU5OTtixY4dKy9ecO3cOW7duhZGREc6d\nO9es4uakcYaGhoiJiZHJ001ISJBrLd0YLstPeXl54ZtvvsGECROwatUqzJ8/HwCwYsUKVudRB5cv\nX0ZycjK0tLTA4/HQsWNHfPPNNzA3N1f10Fql8ePHQ1NTE1OnTkV4eLh0M9zz58+lj2mqE57ki9+2\nbdsQHR2tUHm0qqoqhISEQCAQ4NWrV9DX14eDgwNcXV2V+gUuKCgIu3fvxqhRo7B69Wo8fPgQRUVF\njNMfLl68KP356dOnOHPmDIRCIby9vfH777/L1QVvaYMGDcJvv/0Ge3t76X3nz59ntarSp08fVFZW\noqysTG5zrjpNRhDCFS6blVDKRCNiY2Ph5+cn095U2UtPxsbG8PT0VHo5svbi4cOHcHZ2Rs+ePZGT\nkwNjY2M8fvwYBw4ckNmJ3JjNmzfj1atX2LBhg0z5KR0dHYXLTwmFQohEolaZYmBtbY2ff/4Zurq6\n0mXtly9f4ssvv5QJQggzhoaG0p/rz2JK7mN6TbK2tsYvv/yCnj17Nns8vr6++PPPP+Hu7g49PT3k\n5+cjPDwc5ubm8PT0bPZ5m0vRFZorV67Ay8sL1tbWzdpLwJXMzEwsX74c/fv3h66uLoRCIfLz8xER\nEdBm9SAAAA6iSURBVMF41jsmJgaBgYFyLd/79euHpKSklhg2ISqXkZEh06zk7t27zWpWQgFxI1Rd\nvgaonbUYMGAAo8f6+/vD39+/RcfT1khSI1JTU6V1TK2srNCjRw9Gx3NRfkrd8hi5EBISgpSUFKxc\nuRIbNmxAaGgoQkJCYGJigrVr16p6eO2ah4cHbt68CTMzM7lUB6YlxkxNTZGUlCRTtq2wsBB2dna4\nfv0652NuTN0VmpqaGnTs2LFZKzSK7iXgUnFxMS5fvoxXr15BV1cXlpaWrBo5TZw4ER4eHtDQ0MDl\ny5exZs0aBAUFYcCAATId/QhpSxpbFWlqb0V9lDLRCFWXrwHAOBgGatMrKCBmZ+bMmRAIBAq1wFa0\n/FT9PMb6WuPGSVdXV2hqamLnzp149+4dfHx8YG9vjwkTJqh6aO1e586dYWFhAQAoLS1t1jk++OAD\nuRlIPp8vl1rW0rhqEKLoXgIu6ejoYPbs2c0+vqysDLa2thAKhdi/fz/09fXh7++P2bNnU0BM2qT3\nrYpQQMwRV1dX/PDDDyorX8MWTfSz17VrVwiFwmbnU06ePBnr1q2TKT8VHByMyZMnMz5HW0whWLNm\nDfbu3QsXFxcA/z/ndP78+fjjjz9UPLr2jW05wIY4OjrC2dkZK1asQN++fVFYWIjIyEiMGzdOZsWj\npVc2Ll++LLNCM2jQIGzfvp11K15F9xKoE11dXRQXF0NXVxfPnz9HdXU1unfvLi0fSkhbs3//fnz/\n/fcNroqwRSkTjWht5WuaU2KkvXN3d8eNGzcwbNgwueXj+gXhG1K3/NS7d+/QsWNHODg4YOPGjc0q\nP5WWloazZ8/ixYsX+Oijj2BnZ4dJkyaxPo+qubm5gcfjISQkBHfu3IGPjw/4fD78/f0Z11MlLYOL\njoiSduPvo4yVDQsLCwgEApmUgpKSEtja2uLq1auMz6PoXgJ18uOPP+L333/HkSNHsGXLFojFYnTu\n3Bm5ubmIiYlR9fAI4Zwk9pF0MDxz5gxKSkowe/ZsXLp0idW5aIa4EW2pfA1pmJGREYyMjJp9fFFR\nETp16oRbt27hwoUL2Lx5M9LS0jB37lzWHXLOnDmDoKAgfPnllzA1NUVeXh42bdqEkpISzJ07t9lj\nVIV9+/bB09MTNjY2EAqFWL58OZYuXQo+ny43qsZFR0R1WdVoaIVmx44drFZoAGDo0KFISkpq9l4C\ndbJ27VoMHDgQmpqa8Pf3x65du1BRUSHXFpqQtoLLVRGaIW4jaIaYvcY2LQoEAkb1nrnskDNjxgwE\nBQXJBNJ3796Fl5cXLly4wOpcqlJZWSn9WZI7/PLlS4SGhkrzqtUx3ag94aojojqsZkg21UlWaDp1\n6iQtwdReVyJevHgBPT09mfvEYjFOnDhB1YpIm8Tlqkjrq/pPGlQ3GCHMTJ8+HQEBAXIb43x9fRkd\n/9dff0nb2Obl5WHBggWYN28eHj9+zHoshYWFGDFihMx9I0aMQFFREetzqYqxsTFGjRqFUaNGwdTU\nFAkJCcjKysLYsWOlvyOq1bVrV/To0QP9+/fH33//DaA21/fRo0eMz3HmzBl4enqiT58+sLW1Rb9+\n/bBp0yb8+uuvLTXsBnl6eiIoKAi3bt3ClStXkJmZCW1tbSxZskSp41AnCxcuxIsXL6S3Hz9+jK++\n+gphYWEqHBUhLWft2rVYtmyZdFWke/fuePv2rbQZERu0htlGtMaOZqrWqVMnPHr0CEuWLMHevXul\nuYhMF0247JAzbNgwnDx5UmYWJyYmRqYGrbprbdUw2iMuOiJGRkYiMjJSZjVj8uTJ8PLyUmp6j1gs\nxurVqxESEoLc3FxprnpUVJTSxqBu5syZgwULFuDw4cOIi4tDeHg4Zs2ahfDwcFUPjZAWwePxMGvW\nLOntLVu2NPtcFBC3EZ07d1b1EFodPp+PQ4cOwd/fH46OjggLC8O//vUvxm1oueyQs2HDBjg5OSEm\nJga9e/dGfn4+ioqKcODAAdbnUhXqhKX+6nZEXL16dbM6IqrLagblqstzc3ODlpYWpk+fjv79+yMq\nKgrGxsaqHhYhnHN0dGzys5pt6iLlELcRlEPMXt2/2eHDhxEaGopt27bB19cX6enpjM7BVYccoLYC\nwMWLF1FcXAx9fX1YWlqie/fuzToXIY25c+cOcnNzIRaLUVBQAG1tbWhqasq0DH6fhQsXYtq0aTKr\nGdHR0YiPj0d0dHRLDVuKctXl1W/wc+bMGdy9exebNm2S/k1aW4MfQt7nzJkzTT7GwcGB1TkpIG4j\nKCBmz9jYGNnZ2dLbqamp8PT0RGVlJe7du6f08WRkZGDcuHEoKirC3r17oa2tDTc3N2hqaip9LKRt\n2rZtG37++WcMHDhQZiaVx+Mxnk25d+8enJycoK+vL7eaMXz48JYaupShoaFcOUyg9jmoc2nMltRU\nKbzW2OCHEEWUlZWxrhRDAXEbQQExe3FxcbC1tZW577///S8OHz7MqtMVF4KDgxEfH49Lly5hxYoV\nKC8vB5/Ph56eHifNFAgBgPHjxyM0NBSffvqpQudR5WpGfn5+k49pz+k7GRkZEAqF0tvV1dV4/Pgx\nNmzYoMJREdIysrOzsXPnTrna6sXFxawbQbXfZCvSbl29ehUWFhbo3r273FIjgGanPCgiOTkZJ0+e\nRHl5OVJTU5GYmAgdHR1GTRAIYYrH43Eyi1tSUoIXL17g5cuXqKmpQVlZmdIC4vYc7DbF398fAoFA\nutNeQ0MD+fn5rGszE9Ja+Pv7Y9SoURg9ejQePnyIadOm4cCBA1i8eDHrc1FA3EbQRD9zQUFBEAgE\nCAgIaPD3qlheLC0tha6uLhITE2FgYIC+ffuiqqqKXlfCqcWLF2Pr1q1wdXWFtra2zO+Y5t3Gx8fD\n29sbn332GfT09HDnzh2Eh4fjp59+wmeffdYSwyYMJSQkICYmBiUlJYiOjsbu3bsRGRmJP//8U9VD\nI6RF5Obm4tSpU8jPz8fGjRthb2+PTz75BGvWrMHSpUtZnYsC4jaCTVH99k4gEABQn45bQG3ZtcDA\nQNy8eROTJk1CaWkpgoODFV7aJqSuiIgIlJeXyxSsZ5t3u3v3boSFhWH8+PHS+1JTU7F9+3YKiFVM\nLBZj0KBBKC0tlQbBixcvppUm0mbp6OigpqYGffr0kfYAGDRokEzaEFMUELcRw4YNU/UQ2oTi4mKs\nXr1aKbvl6woKCsLu3bsxevRorFmzBg8ePEBRURG+//57pY6DtG1nz55V+BxFRUUYM2aMzH3jx4/H\n+vXrFT43UYyBgQHu3bsHIyMjiEQiFBcXg8/nU+Mm0mYZGxtj8+bN8PX1xaBBgxAVFYUuXbrIrYAx\nQZvqCKlDKBTCyspKabvUmQTe1HKVqJOAgAB07twZHh4e0NDQgFgsRkREBF68eAE/Pz9VD69dO3/+\nPHx8fCAQCBATE4PExETw+XwMHjwYe/bsUfXwCOFcUVERdu3aBQ8PD7x48QIeHh4QiUSYP38+Vq5c\nyepcFBATUoeyA+KFCxe+9/c8Hg9Hjx5VylgIYcLGxgY5OTno2rUr9PT08OrVK+mmuo4dO0ofl5GR\nocJRtl/5+fnQ1dVFx44dcf78eVRUVMDBwYGaN5E2yd3dHXv37pXW266qqkJISAgOHz7MusoEBcSE\n1KHsgJiQ1iYzM5PR4+qnVRBCCNfc3NzA4/Gwd+9e3L17V9rC3d/fH6NHj2Z1LgqISbuTk5PT6O9e\nvnyJpUuXUkBMSD1v3ryBpqbme/NR21uHOEKIar19+xaenp548OCBwi3cKSAm7Y6k01Vjb/322OmK\nkKZImv/U7xQHsK9UQQghimiJFu4UEBNCCGlSQUEBPvzwQ+Tl5TX4ex6Ph8GDByt5VISQ9qglWrhT\nQEwIIaRJDc0M10czxIQQZWiJFu4UEBNCCGlSS3wAEUKIuqCAmBBCCCGEtGsdVD0AQgghhBBCVIkC\nYkIIIYQQ0q5RQEwIIWrM2toax48fl7v/77//xtChQxut+kAIIYQ5CogJIYQQQki7RgExIYQQQghp\n1yggJoSQVu7mzZtwdHTEyJEjYWlpiZCQEGmherFYjIiICFhZWcHY2BgLFizA/fv3pcdaW1sjODgY\nlpaWsLa2hkgkUtXTIIQQlWHf7JkQQojaqKmpwapVq/DFF19gz549yMnJwdq1a2FoaIhJkybhxIkT\nOHnyJLZs2QIDAwOcO3cOixYtQmJiInr16gUAiI2NxcGDB8Hj8dC1a1cVPyNCCFE+CogJIaQVKy8v\nR2lpKXr16oU+ffrAwMAAhw8fljbJiIyMhKenJz777DMAwNq1a5GRkYFff/0VK1asAADMnDkTRkZG\nKnsOhBCiahQQE0KIGuPz+aipqZG7X3Jfz5494erqiq1btyIiIgKWlpaws7ODrq4uRCIRCgoKsGnT\nJvj4+EiPraqqQt++faW3qcMcIaS9o4CYEELUWPfu3VFRUSF3/+vXrwEA3bp1w7fffgsHBwekpKQg\nNTUVixcvxubNmzFr1iwAQFBQEIYPHy5zvJaWlvTnzp07t+AzIIQQ9Ueb6gghRI0NHz4ct2/flrv/\nzp07GDBgAEQiEfz8/KCnp4dly5bh+PHj+OKLLxAfH49u3bqhV69eEAqF6N+/v/S/yMhIZGZmquDZ\nEEKIeqIZYkIIUWNfffUV5syZgx07dsDBwQFAbVWJ8PBweHt748MPP0RKSgqqqqrg5uaG169fIysr\nC+PHjwcAuLi4IDQ0FB9//DGMjIzwyy+/4LfffsOCBQtU+bQIIUStUEBMCCFqzNDQEFFRUQgJCcHJ\nkyfx9u1bDBw4ED4+PrC3twcAhIeHIzAwEA4ODtDQ0MDUqVPh4eEBAFi0aBEqKyvxww8/oLi4GIMH\nD0ZYWBgMDQ1V+bQIIUSt8MSSYpWEEEIIIYS0Q5RDTAghhBBC2jUKiAkhhBBCSLtGATEhhBBCCGnX\nKCAmhBBCCCHtGgXEhBBCCCGkXaOAmBBCCCGEtGsUEBNCCCGEkHaNAmJCCCGEENKu/T/UnKChQd/9\nowAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x118ce9048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "%matplotlib inline\n",
    "sns.set(style=\"white\", context=\"talk\")\n",
    "\n",
    "x = [x for x, y in smi_count_result_sorted]\n",
    "y = [y for x, y in smi_count_result_sorted]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(11.7, 8.27)  # 思い切ってA4サイズにしよう!！\n",
    "\n",
    "g = sns.barplot(x, y, palette='pastel', ax=ax)\n",
    "plt.ylabel('Posted SMILESs')\n",
    "plt.xlabel('User')\n",
    "loc, labels = plt.xticks()\n",
    "text_config = g.set_xticklabels(labels, rotation=90)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### IUPAC名投稿数ランキング\n",
    "同じ方法でやってみます。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "ipc_count_result = collections.Counter([user for user, iupac in iupacs_clean])\n",
    "ipc_count_result_sorted = sorted(ipc_count_result.items(), key=lambda x:x[1], reverse=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IUPAC名を投稿したことのある人の数: 38\n"
     ]
    }
   ],
   "source": [
    "print('IUPAC名を投稿したことのある人の数:', len(ipc_count_result_sorted))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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yunfvLi8vL1WtWtWedQEAAAB2kWUgXrlypZYtW6YvvvhC48aNU+XKlfXMM8/Iz8+P0WEA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\nhBBCCCGkU/t/5ZOZc2facG8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11c482940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = [x for x, y in ipc_count_result_sorted]\n",
    "y = [y for x, y in ipc_count_result_sorted]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(11.7, 8.27)  # 思い切ってA4サイズにしよう!！\n",
    "\n",
    "g = sns.barplot(x, y, palette='pastel', ax=ax)\n",
    "plt.ylabel('Posted IUPACs')\n",
    "plt.xlabel('User')\n",
    "loc, labels = plt.xticks()\n",
    "text_config = g.set_xticklabels(labels, rotation=90)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 全投稿者リストを作ってみる\n",
    "創薬ちゃんと遊んでくれた愉快なユーザー一覧表が欲しいですね。作りましょう。  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "愉快なユーザー様数: 55\n",
      "愉快なユーザー様: i_taiga1, n0rr, hicassie_buke, akami_orihime, tsutsunonaka, Stas_Otto, inanzu, lipopolysacchar, Fizz_DI, iwatobipen, kusa_mix, tkochi0603, caol_kay_ila, IsolatedLonely, yi_chemist, shimasho, yakuichan, kosenstudent, logictex2, elf_alf_no11, mi1377sakura, mizuki_kayano, YXLI, Haru102i, siero5335, bonohu, tonets, __YamYuki__, maskot1977, cure_neucx, social_hcdd, rkakamilan, souyakuchan, piyota0, naringenin666, songbirdabeam, kwsm_, macky_jn, cykinso, 813_CT, Lizreel_spindle, tiba_chem, kubor_, ken3_ketone, y__sama, Mochimasa, hinaichigo, stnc_phrm, suimye, profoundnotice, syoifczeri, hiro_h, shimakid, mizarjp, kalashnikov47p\n"
     ]
    }
   ],
   "source": [
    "all_users = set(list(ipc_count_result.keys()) + list(smi_count_result.keys()))\n",
    "print('愉快なユーザー様数:', len(all_users))\n",
    "print('愉快なユーザー様:', ', '.join(all_users))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "どちらかのみを使っているユーザーもいるんですね。  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 変換できなかったSMILESを抽出してみる\n",
    "分析をすすめます。  \n",
    "変換できなかったSMILESについては、 `すまない。このSMILESは上手く変換できなかったようだ。` という創薬ちゃんのお決まりの台詞があるのでこれをフラグに集計します。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "unrecognized_smiles = []\n",
    "\n",
    "for status in tweepy.Cursor(api.user_timeline).items():\n",
    "    if status.text.find('すまない。このSMILESは上手く変換できなかったようだ。') != -1:\n",
    "        unrecognized_smiles.append(status.text.split('。')[2].replace('\"', ''))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "変換できなかったSMILES数: 26\n"
     ]
    }
   ],
   "source": [
    "print('変換できなかったSMILES数:', len(unrecognized_smiles))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "全部で26件の変換できなかったSMILESたちを抽出できました。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "重複していたSMILES: 1\n"
     ]
    }
   ],
   "source": [
    "print('重複していたSMILES:', int(len(unrecognized_smiles)) - int(len(set(unrecognized_smiles))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "重複しているSMILESが1件あるので、　`collections.Counter()`を使って抽出してみます。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "duplicated [('CC(=O)[O-][Na+]', 2)]\n"
     ]
    }
   ],
   "source": [
    "counted = collections.Counter(unrecognized_smiles)\n",
    "print('duplicated', [(smiles, count) for smiles, count in counted.items() if count > 1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`CC(=O)[O-][Na+]` が2回ありました。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### ほんとに変換できないのか\n",
    "念のためほんとに変換できないかRDKitで読み込んで確かめてみます。  \n",
    "上でも書きましたが、RDKitの`Chem.MolFromSmiles()`は変換できないSMILESが引数に与えられると`None`を返しますので、これを使って判定します。  \n",
    "実際に創薬ちゃんの化合物詠唱機能でもこのメソッドを使用しています。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from rdkit import Chem\n",
    "\n",
    "mol = [Chem.MolFromSmiles(smiles) for smiles in unrecognized_smiles]\n",
    "\n",
    "mol"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "すべて`None`でした。  \n",
    "ただしこれらのSMILESすべてがSMILESとして成り立たないというわけではなく、あくまでRDKitでの解釈ができないSMILESであるということを意味します。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 変換できるSMILESでも試しておく\n",
    "一応変換可能なSMILESも試してみます。  \n",
    "ついでにJupyter notebook 上で簡単に化合物の構造式を描画する機能が用意されているので、これを使って構造式も描いて見ます。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mol: <rdkit.Chem.rdchem.Mol object at 0x10c687080>\n"
     ]
    },
    {
     "data": {
      "image/png": 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+HDHxSmxsbEhISEtLS05ODvtVvr6+uOZXL4Zdbb13797m5uagoKCYmBjusoHx4YUnvikr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\nHD8tDhMEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x10c687080>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from rdkit.Chem.Draw import IPythonConsole\n",
    "\n",
    "smiles = 'c1ccccc1'\n",
    "mol = Chem.MolFromSmiles(smiles)\n",
    "print('mol:', mol)\n",
    "mol"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## まとめ\n",
    "Tweepyを使用することで簡単にツイートの取得が可能でした。\n",
    "\n",
    "おおよそ創薬ちゃんの化合物詠唱機能についてはここで使用した手法の組み合わせで成り立っています。\n",
    "今後とも創薬ちゃんをどうぞよろしくお願いします。  \n",
    "さらなるバージョンアップにもご期待下さい！\n",
    "\n",
    "ちなみに化合物別に集計したところ、SMILES、IUPAC名ともにダントツでベンゼンが人気でした。  \n",
    "\n",
    "---\n",
    "\n",
    "## 集計表\n",
    "\n",
    "| content | value |\n",
    "| :---------: | :-----: |\n",
    "| クレンジング前のSMILES数 | 263 |\n",
    "| RDKitでパース可能なSMILES数 | 222 |\n",
    "| RDKitでパース可能なSMILES数（重複なし） | 202 |\n",
    "| クレンジング前のIUPAC名数 | 180 |\n",
    "| ASCII変換できるIUPAC名数 | 171 |\n",
    "| ASCII変換できるIUPAC名数（重複なし） | 152 |\n",
    "| SMILESを投稿したことのある人の数 | 38 |\n",
    "| IUPAC名を投稿したことのある人の数 | 38 |\n",
    "| 愉快なユーザー様数 | 55 |\n",
    "| 変換できなかったSMILES数 | 26 |\n",
    "| もっともたくさんSMILESを投稿した人 | @kubor\\_ |\n",
    "| もっともたくさんIUPAC名を投稿した人 | @kubor\\_ |"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}