K-Means & TSNE - Jupyter Adaptation of mtlpy50.ipynb

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  {
   "cell_type": "markdown",
   "metadata": {
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    "editable": true
   },
   "source": [
    "# Jupyter Adaptation of mtlpy50 \n",
    "### (K-Means Clustering)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sklearn.feature_extraction import text\n",
    "from sklearn.feature_extraction.text import CountVectorizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv('issue_comments_jupyter_copy.csv')\n",
    "df['org'] = df['org'].astype('str')\n",
    "df['repo'] = df['repo'].astype('str')\n",
    "df['comments'] = df['comments'].astype('str')\n",
    "df['user'] = df['user'].astype('str')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "##### sklearn count vectorizer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "###### First, save the Series 'comments' to the variable `comments`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "comments = df.comments"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Add stopwords into the vectorizer and bring max_df down to focus on the center of the cluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "#circling back to add stop words\n",
    "stopwords = text.ENGLISH_STOP_WORDS.union(['want', 'need', 'python', 'ipython', 'use', 'using', 'user', 'way', 'cell', 'kernel', 'think','git','jupyter', 'notebook', 'https', 'github', 'com', 'html', 'http', 'org','ellisonbg','don'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CountVectorizer(analyzer='word', binary=True, decode_error=u'strict',\n",
       "        dtype=<type 'numpy.int64'>, encoding=u'utf-8', input=u'content',\n",
       "        lowercase=True, max_df=0.75, max_features=1000, min_df=100,\n",
       "        ngram_range=(1, 2), preprocessor=None,\n",
       "        stop_words=frozenset(['all', 'show', 'anyway', 'fifty', 'four', 'go', 'mill', 'find', 'seemed', 'whose', 're', 'herself', 'whoever', 'behind', 'should', 'to', 'only', 'under', 'herein', 'do', 'his', 'get', 'very', 'de', 'myself', 'cannot', 'every', 'yourselves', 'him', 'is', 'cry', 'beforehand', 'th...'but', 'nothing', 'why', 'jupyter', 'noone', 'sometimes', 'together', 'serious', 'ipython', 'once']),\n",
       "        strip_accents=None, token_pattern=u'(?u)\\\\b\\\\w\\\\w+\\\\b',\n",
       "        tokenizer=None, vocabulary=None)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cvec = CountVectorizer(max_features = 1000, max_df=0.75, min_df=100,\n",
    "                      ngram_range=(1,2),\n",
    "                      stop_words = stopwords,\n",
    "                      analyzer = 'word',\n",
    "                      binary = True)\n",
    "\n",
    "cvec.fit(comments)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "X = pd.DataFrame(cvec.transform(comments).todense(), columns=cvec.get_feature_names())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
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       "   02  04  10  11  11e5  11e6  12  13  14  15 ...   worth  wouldn  write  \\\n",
       "0   0   0   0   0     0     0   0   0   0   0 ...       0       0      0   \n",
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       "   writing  wrong  wrote  www  yeah  yep  yes  \n",
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       "\n",
       "[5 rows x 770 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(17656, 770)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Dimension reduction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(17656, 100)\n",
      "CPU times: user 4 s, sys: 449 ms, total: 4.45 s\n",
      "Wall time: 1.14 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "from sklearn.decomposition import TruncatedSVD \n",
    "from sklearn.preprocessing import normalize\n",
    "\n",
    "svd = TruncatedSVD(n_components=100)\n",
    "embedded_coords = normalize(svd.fit_transform(X), norm='l1') #this is L 1 not eleven\n",
    "print embedded_coords.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1173dc7d0>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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lzfJBkiRljJUrYcyYUDLk5kL9+nDVVXDGGVCnTtLpJEnKXpYPkiQp7c2dGwqH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\n9tormTy5KRxmz07+6q/aTgUAAEBi2QU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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1172cae10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "pd.DataFrame(np.cumsum(svd.explained_variance_ratio_)).plot(figsize=(13,8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "from scipy.stats import rankdata\n",
    "\n",
    "from sklearn.cluster import KMeans\n",
    "n_clusters = 20\n",
    "km = KMeans(n_clusters)\n",
    "clusters = km.fit(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
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       " (885, 18),\n",
       " (886, 18),\n",
       " (887, 18),\n",
       " (888, 18),\n",
       " (889, 18),\n",
       " (890, 0),\n",
       " (891, 18),\n",
       " (892, 18),\n",
       " (893, 18),\n",
       " (894, 18),\n",
       " (895, 18),\n",
       " (896, 18),\n",
       " (897, 18),\n",
       " (898, 18),\n",
       " (899, 18),\n",
       " (900, 18),\n",
       " (901, 18),\n",
       " (902, 0),\n",
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       " (904, 0),\n",
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       " (906, 0),\n",
       " (907, 0),\n",
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       " (909, 18),\n",
       " (910, 18),\n",
       " (911, 18),\n",
       " (912, 18),\n",
       " (913, 0),\n",
       " (914, 18),\n",
       " (915, 3),\n",
       " (916, 19),\n",
       " (917, 3),\n",
       " (918, 6),\n",
       " (919, 9),\n",
       " (920, 18),\n",
       " (921, 7),\n",
       " (922, 18),\n",
       " (923, 0),\n",
       " (924, 18),\n",
       " (925, 7),\n",
       " (926, 18),\n",
       " (927, 6),\n",
       " (928, 18),\n",
       " (929, 9),\n",
       " (930, 18),\n",
       " (931, 18),\n",
       " (932, 18),\n",
       " (933, 18),\n",
       " (934, 18),\n",
       " (935, 18),\n",
       " (936, 18),\n",
       " (937, 6),\n",
       " (938, 18),\n",
       " (939, 18),\n",
       " (940, 5),\n",
       " (941, 19),\n",
       " (942, 18),\n",
       " (943, 18),\n",
       " (944, 18),\n",
       " (945, 18),\n",
       " (946, 0),\n",
       " (947, 5),\n",
       " (948, 18),\n",
       " (949, 18),\n",
       " (950, 18),\n",
       " (951, 4),\n",
       " (952, 18),\n",
       " (953, 18),\n",
       " (954, 18),\n",
       " (955, 18),\n",
       " (956, 18),\n",
       " (957, 18),\n",
       " (958, 3),\n",
       " (959, 18),\n",
       " (960, 9),\n",
       " (961, 7),\n",
       " (962, 19),\n",
       " (963, 18),\n",
       " (964, 18),\n",
       " (965, 18),\n",
       " (966, 18),\n",
       " (967, 4),\n",
       " (968, 9),\n",
       " (969, 4),\n",
       " (970, 9),\n",
       " (971, 18),\n",
       " (972, 5),\n",
       " (973, 18),\n",
       " (974, 9),\n",
       " (975, 7),\n",
       " (976, 18),\n",
       " (977, 18),\n",
       " (978, 6),\n",
       " (979, 18),\n",
       " (980, 18),\n",
       " (981, 18),\n",
       " (982, 18),\n",
       " (983, 18),\n",
       " (984, 0),\n",
       " (985, 0),\n",
       " (986, 0),\n",
       " (987, 7),\n",
       " (988, 0),\n",
       " (989, 18),\n",
       " (990, 6),\n",
       " (991, 6),\n",
       " (992, 6),\n",
       " (993, 18),\n",
       " (994, 18),\n",
       " (995, 18),\n",
       " (996, 18),\n",
       " (997, 18),\n",
       " (998, 7),\n",
       " (999, 9),\n",
       " ...]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(zip(X.index, clusters.labels_)) #this pulls from index in document term matrix - I can add this as a column to the\n",
    "#original data frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "Top terms per cluster:\n",
      "('Cluster 0:',)\n",
      "(u' thanks',)\n",
      "(u' ll',)\n",
      "(u' issue',)\n",
      "(u' minrk',)\n",
      "(u' carreau',)\n",
      "(u' great',)\n",
      "(u' good',)\n",
      "(u' takluyver',)\n",
      "(u' pr',)\n",
      "(u' look',)\n",
      "(u' work',)\n",
      "(u' help',)\n",
      "(u' time',)\n",
      "(u' know',)\n",
      "(u' fix',)\n",
      "(u' try',)\n",
      "(u' issues',)\n",
      "(u' ok',)\n",
      "(u' works',)\n",
      "(u' working',)\n",
      "()\n",
      "('Cluster 1:',)\n",
      "(u' like',)\n",
      "(u' make',)\n",
      "(u' work',)\n",
      "(u' able',)\n",
      "(u' doesn',)\n",
      "(u' just',)\n",
      "(u' better',)\n",
      "(u' environment',)\n",
      "(u' end',)\n",
      "(u' example',)\n",
      "(u' files',)\n",
      "(u' ui',)\n",
      "(u' stuff',)\n",
      "(u' try',)\n",
      "(u' right',)\n",
      "(u' possible',)\n",
      "(u' does',)\n",
      "(u' data',)\n",
      "(u' course',)\n",
      "(u' really',)\n",
      "()\n",
      "('Cluster 2:',)\n",
      "(u' data',)\n",
      "(u' university san',)\n",
      "(u' poly state',)\n",
      "(u' calpoly edu',)\n",
      "(u' bgranger calpoly',)\n",
      "(u' edu gmail',)\n",
      "(u' state university',)\n",
      "(u' twitter bgranger',)\n",
      "(u' obispo twitter',)\n",
      "(u' state',)\n",
      "(u' associate',)\n",
      "(u' reply',)\n",
      "(u' email',)\n",
      "(u' brian',)\n",
      "(u' data science',)\n",
      "(u' calpoly',)\n",
      "(u' directly view',)\n",
      "(u' university',)\n",
      "(u' notifications',)\n",
      "(u' wrote',)\n",
      "()\n",
      "('Cluster 3:',)\n",
      "(u' email',)\n",
      "(u' view',)\n",
      "(u' email directly',)\n",
      "(u' reply email',)\n",
      "(u' directly view',)\n",
      "(u' directly',)\n",
      "(u' reply',)\n",
      "(u' notifications',)\n",
      "(u' wrote',)\n",
      "(u' notifications wrote',)\n",
      "(u' 2015',)\n",
      "(u' issuecomment',)\n",
      "(u' issues',)\n",
      "(u' pm',)\n",
      "(u' nbviewer',)\n",
      "(u' pull',)\n",
      "(u' 2016',)\n",
      "(u' just',)\n",
      "(u' view issues',)\n",
      "(u' thanks',)\n",
      "()\n",
      "('Cluster 4:',)\n",
      "(u' like',)\n",
      "(u' just',)\n",
      "(u' make',)\n",
      "(u' work',)\n",
      "(u' know',)\n",
      "(u' code',)\n",
      "(u' does',)\n",
      "(u' new',)\n",
      "(u' time',)\n",
      "(u' file',)\n",
      "(u' things',)\n",
      "(u' case',)\n",
      "(u' sure',)\n",
      "(u' issue',)\n",
      "(u' right',)\n",
      "(u' probably',)\n",
      "(u' doesn',)\n",
      "(u' change',)\n",
      "(u' run',)\n",
      "(u' problem',)\n",
      "()\n",
      "('Cluster 5:',)\n",
      "(u' assets',)\n",
      "(u' githubusercontent',)\n",
      "(u' cloud',)\n",
      "(u' cloud githubusercontent',)\n",
      "(u' githubusercontent assets',)\n",
      "(u' png',)\n",
      "(u' 11e5',)\n",
      "(u' 11e6',)\n",
      "(u' image',)\n",
      "(u' screen',)\n",
      "(u' shot',)\n",
      "(u' screen shot',)\n",
      "(u' like',)\n",
      "(u' gif',)\n",
      "(u' 2016',)\n",
      "(u' just',)\n",
      "(u' screenshot',)\n",
      "(u' 2015',)\n",
      "(u' shot 2016',)\n",
      "(u' looks',)\n",
      "()\n",
      "('Cluster 6:',)\n",
      "(u' install',)\n",
      "(u' pip',)\n",
      "(u' pip install',)\n",
      "(u' conda',)\n",
      "(u' installed',)\n",
      "(u' packages',)\n",
      "(u' version',)\n",
      "(u' package',)\n",
      "(u' py',)\n",
      "(u' issue',)\n",
      "(u' run',)\n",
      "(u' try',)\n",
      "(u' just',)\n",
      "(u' installation',)\n",
      "(u' work',)\n",
      "(u' problem',)\n",
      "(u' running',)\n",
      "(u' did',)\n",
      "(u' anaconda',)\n",
      "(u' does',)\n",
      "()\n",
      "('Cluster 7:',)\n",
      "(u' just',)\n",
      "(u' like',)\n",
      "(u' work',)\n",
      "(u' make',)\n",
      "(u' issue',)\n",
      "(u' sure',)\n",
      "(u' thanks',)\n",
      "(u' right',)\n",
      "(u' problem',)\n",
      "(u' code',)\n",
      "(u' new',)\n",
      "(u' run',)\n",
      "(u' things',)\n",
      "(u' does',)\n",
      "(u' know',)\n",
      "(u' version',)\n",
      "(u' ve',)\n",
      "(u' file',)\n",
      "(u' time',)\n",
      "(u' actually',)\n",
      "()\n",
      "('Cluster 8:',)\n",
      "(u' email',)\n",
      "(u' notifications',)\n",
      "(u' reply',)\n",
      "(u' directly',)\n",
      "(u' receiving',)\n",
      "(u' view',)\n",
      "(u' email directly',)\n",
      "(u' reply email',)\n",
      "(u' directly view',)\n",
      "(u' thread',)\n",
      "(u' mute',)\n",
      "(u' mute thread',)\n",
      "(u' wrote',)\n",
      "(u' notifications wrote',)\n",
      "(u' notifications unsubscribe',)\n",
      "(u' unsubscribe',)\n",
      "(u' thread notifications',)\n",
      "(u' issuecomment',)\n",
      "(u' auth',)\n",
      "(u' unsubscribe auth',)\n",
      "()\n",
      "('Cluster 9:',)\n",
      "(u' like',)\n",
      "(u' looks',)\n",
      "(u' looks like',)\n",
      "(u' make',)\n",
      "(u' things',)\n",
      "(u' work',)\n",
      "(u' issue',)\n",
      "(u' does',)\n",
      "(u' file',)\n",
      "(u' sounds',)\n",
      "(u' pr',)\n",
      "(u' thanks',)\n",
      "(u' sounds like',)\n",
      "(u' sure',)\n",
      "(u' really',)\n",
      "(u' good',)\n",
      "(u' ve',)\n",
      "(u' try',)\n",
      "(u' right',)\n",
      "(u' code',)\n",
      "()\n",
      "('Cluster 10:',)\n",
      "(u' load',)\n",
      "(u' ready',)\n",
      "(u' import',)\n",
      "(u' able',)\n",
      "(u' js',)\n",
      "(u' output',)\n",
      "(u' id',)\n",
      "(u' script',)\n",
      "(u' class',)\n",
      "(u' min',)\n",
      "(u' work',)\n",
      "(u' javascript',)\n",
      "(u' css',)\n",
      "(u' document',)\n",
      "(u' type',)\n",
      "(u' display',)\n",
      "(u' 10',)\n",
      "(u' function',)\n",
      "(u' 12',)\n",
      "(u' text',)\n",
      "()\n",
      "('Cluster 11:',)\n",
      "(u' calpoly',)\n",
      "(u' university',)\n",
      "(u' poly',)\n",
      "(u' cal poly',)\n",
      "(u' cal',)\n",
      "(u' gmail',)\n",
      "(u' obispo',)\n",
      "(u' luis obispo',)\n",
      "(u' luis',)\n",
      "(u' san luis',)\n",
      "(u' bgranger',)\n",
      "(u' brian granger',)\n",
      "(u' granger',)\n",
      "(u' bgranger calpoly',)\n",
      "(u' edu gmail',)\n",
      "(u' calpoly edu',)\n",
      "(u' university san',)\n",
      "(u' state university',)\n",
      "(u' poly state',)\n",
      "(u' brian',)\n",
      "()\n",
      "('Cluster 12:',)\n",
      "(u' yes',)\n",
      "(u' used',)\n",
      "(u' minor',)\n",
      "(u' mind',)\n",
      "(u' selected',)\n",
      "(u' better',)\n",
      "(u' thought',)\n",
      "(u' select',)\n",
      "(u' point',)\n",
      "(u' bad',)\n",
      "(u' avoid',)\n",
      "(u' true',)\n",
      "(u' trying',)\n",
      "(u' ask',)\n",
      "(u' implement',)\n",
      "(u' prefer',)\n",
      "(u' current',)\n",
      "(u' ui',)\n",
      "(u' said',)\n",
      "(u' including',)\n",
      "()\n",
      "('Cluster 13:',)\n",
      "(u' complete',)\n",
      "(u' client',)\n",
      "(u' setup',)\n",
      "(u' setup py',)\n",
      "(u' en latest',)\n",
      "(u' install',)\n",
      "(u' figure',)\n",
      "(u' documentation',)\n",
      "(u' latest',)\n",
      "(u' example',)\n",
      "(u' kernels',)\n",
      "(u' spec',)\n",
      "(u' write',)\n",
      "(u' readthedocs',)\n",
      "(u' py',)\n",
      "(u' en',)\n",
      "(u' package',)\n",
      "(u' agree',)\n",
      "(u' pull',)\n",
      "(u' io',)\n",
      "()\n",
      "('Cluster 14:',)\n",
      "(u' poly state',)\n",
      "(u' university san',)\n",
      "(u' bgranger calpoly',)\n",
      "(u' calpoly edu',)\n",
      "(u' state university',)\n",
      "(u' edu gmail',)\n",
      "(u' email',)\n",
      "(u' brian',)\n",
      "(u' directly view',)\n",
      "(u' notifications',)\n",
      "(u' university',)\n",
      "(u' bussonnier',)\n",
      "(u' wrote',)\n",
      "(u' matthias bussonnier',)\n",
      "(u' notifications wrote',)\n",
      "(u' reply',)\n",
      "(u' twitter bgranger',)\n",
      "(u' state',)\n",
      "(u' obispo twitter',)\n",
      "(u' edu',)\n",
      "()\n",
      "('Cluster 15:',)\n",
      "(u' old',)\n",
      "(u' new',)\n",
      "(u' able',)\n",
      "(u' main',)\n",
      "(u' website',)\n",
      "(u' issues',)\n",
      "(u' try',)\n",
      "(u' site',)\n",
      "(u' people',)\n",
      "(u' tests',)\n",
      "(u' click',)\n",
      "(u' browser',)\n",
      "(u' button',)\n",
      "(u' link',)\n",
      "(u' open',)\n",
      "(u' links',)\n",
      "(u' ran',)\n",
      "(u' wouldn',)\n",
      "(u' tab',)\n",
      "(u' sure',)\n",
      "()\n",
      "('Cluster 16:',)\n",
      "(u' doesn',)\n",
      "(u' available',)\n",
      "(u' things',)\n",
      "(u' metadata',)\n",
      "(u' thinking',)\n",
      "(u' message',)\n",
      "(u' post',)\n",
      "(u' script',)\n",
      "(u' host',)\n",
      "(u' base',)\n",
      "(u' execute',)\n",
      "(u' current',)\n",
      "(u' require',)\n",
      "(u' marked',)\n",
      "(u' markdown',)\n",
      "(u' custom',)\n",
      "(u' custom js',)\n",
      "(u' right',)\n",
      "(u' default',)\n",
      "(u' defined',)\n",
      "()\n",
      "('Cluster 17:',)\n",
      "(u' alt',)\n",
      "(u' githubusercontent',)\n",
      "(u' img',)\n",
      "(u' png',)\n",
      "(u' assets',)\n",
      "(u' githubusercontent assets',)\n",
      "(u' cloud githubusercontent',)\n",
      "(u' cloud',)\n",
      "(u' img width',)\n",
      "(u' src',)\n",
      "(u' width',)\n",
      "(u' src cloud',)\n",
      "(u' screen',)\n",
      "(u' shot',)\n",
      "(u' screen shot',)\n",
      "(u' alt screen',)\n",
      "(u' 11e5',)\n",
      "(u' 2015',)\n",
      "(u' 2016',)\n",
      "(u' shot 2016',)\n",
      "()\n",
      "('Cluster 18:',)\n",
      "(u' issue',)\n",
      "(u' work',)\n",
      "(u' make',)\n",
      "(u' js',)\n",
      "(u' does',)\n",
      "(u' try',)\n",
      "(u' pr',)\n",
      "(u' ll',)\n",
      "(u' master',)\n",
      "(u' good',)\n",
      "(u' sure',)\n",
      "(u' version',)\n",
      "(u' file',)\n",
      "(u' code',)\n",
      "(u' minrk',)\n",
      "(u' problem',)\n",
      "(u' issues',)\n",
      "(u' know',)\n",
      "(u' time',)\n",
      "(u' ve',)\n",
      "()\n",
      "('Cluster 19:',)\n",
      "(u' lib',)\n",
      "(u' file',)\n",
      "(u' py',)\n",
      "(u' packages',)\n",
      "(u' line',)\n",
      "(u' local',)\n",
      "(u' site',)\n",
      "(u' site packages',)\n",
      "(u' error',)\n",
      "(u' traceback',)\n",
      "(u' recent',)\n",
      "(u' users',)\n",
      "(u' usr',)\n",
      "(u' python3',)\n",
      "(u' self',)\n",
      "(u' module',)\n",
      "(u' usr local',)\n",
      "(u' python2',)\n",
      "(u' version',)\n",
      "(u' running',)\n",
      "()\n"
     ]
    }
   ],
   "source": [
    "print (\"Top terms per cluster:\")\n",
    "order_centroids = clusters.cluster_centers_.argsort()[:, ::-1]\n",
    "terms = cvec.get_feature_names()\n",
    "for i in range(n_clusters):\n",
    "    print (\"Cluster %d:\" % i,)\n",
    "    for ind in order_centroids[i, :20]:\n",
    "        print(' %s' % terms[ind],)\n",
    "    print()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Most common words in clusters. Read through the documents to assign meaningful cluster names and label the clusters. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### TSNE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
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       "    console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    window._bokeh_is_loading = js_urls.length;\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var s = document.createElement('script');\n",
       "      s.src = url;\n",
       "      s.async = false;\n",
       "      s.onreadystatechange = s.onload = function() {\n",
       "        window._bokeh_is_loading--;\n",
       "        if (window._bokeh_is_loading === 0) {\n",
       "          console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "          run_callbacks()\n",
       "        }\n",
       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
       "      };\n",
       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "    }\n",
       "  };var element = document.getElementById(\"4562fb9f-fe96-4fdb-b0c1-5dba1c58b322\");\n",
       "  if (element == null) {\n",
       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '4562fb9f-fe96-4fdb-b0c1-5dba1c58b322' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.js\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "      document.getElementById(\"4562fb9f-fe96-4fdb-b0c1-5dba1c58b322\").textContent = \"BokehJS is loading...\";\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.css\");\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i](window.Bokeh);\n",
       "      }if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < window._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!window._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      window._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"4562fb9f-fe96-4fdb-b0c1-5dba1c58b322\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (window._bokeh_is_loading === 0) {\n",
       "    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(js_urls, function() {\n",
       "      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(this));"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.io import output_notebook, show\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "from sklearn.manifold import TSNE\n",
    "xycoords = TSNE().fit_transform(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>02</th>\n",
       "      <th>04</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>11e5</th>\n",
       "      <th>11e6</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "      <th>14</th>\n",
       "      <th>15</th>\n",
       "      <th>...</th>\n",
       "      <th>worth</th>\n",
       "      <th>wouldn</th>\n",
       "      <th>write</th>\n",
       "      <th>writing</th>\n",
       "      <th>wrong</th>\n",
       "      <th>wrote</th>\n",
       "      <th>www</th>\n",
       "      <th>yeah</th>\n",
       "      <th>yep</th>\n",
       "      <th>yes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 770 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   02  04  10  11  11e5  11e6  12  13  14  15 ...   worth  wouldn  write  \\\n",
       "0   0   0   0   0     0     0   0   0   0   0 ...       0       0      0   \n",
       "1   0   0   0   0     0     0   0   0   0   0 ...       0       0      0   \n",
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       "3   0   0   0   0     0     0   0   0   0   0 ...       0       0      0   \n",
       "4   0   0   0   0     0     0   0   0   0   0 ...       0       0      0   \n",
       "\n",
       "   writing  wrong  wrote  www  yeah  yep  yes  \n",
       "0        0      0      0    0     0    0    0  \n",
       "1        0      0      0    0     0    0    0  \n",
       "2        0      0      0    0     0    0    0  \n",
       "3        0      0      0    0     0    0    0  \n",
       "4        0      0      0    0     0    0    0  \n",
       "\n",
       "[5 rows x 770 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(17656, 2)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xycoords.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(17656,)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comments.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "colormap = [\n",
    "    \"#1f77b4\", \"#aec7e8\", \"#ff7f0e\", \"#ffbb78\", \"#2ca02c\", \n",
    "    \"#98df8a\", \"#d62728\", \"#ff9896\", \"#9467bd\", \"#c5b0d5\", \n",
    "    \"#8c564b\", \"#c49c94\", \"#e377c2\", \"#f7b6d2\", \"#7f7f7f\", \n",
    "    \"#c7c7c7\", \"#bcbd22\", \"#dbdb8d\", \"#17becf\", \"#9edae5\"\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
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       "      <th>x</th>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-5.411906e+06</td>\n",
       "      <td>3.982923e+05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              x             y\n",
       "0  3.512242e+06  5.307545e+06\n",
       "1  2.082861e+06 -5.637547e+06\n",
       "2  4.108872e+06  4.649874e+07\n",
       "3  2.874704e+06  4.324459e+06\n",
       "4 -5.411906e+06  3.982923e+05"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(xycoords)\n",
    "df = df.rename(columns={0: 'x', 1: 'y', 2:'terms'})\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Read this to move forward: https://shuaiw.github.io/2016/12/22/topic-modeling-and-tsne-visualzation.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
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       "  \n",
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       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
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       "       \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "       \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
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       "       \"from bokeh.resources import INLINE\\n\"+\n",
       "       \"output_notebook(resources=INLINE)\\n\"+\n",
       "       \"</code>\\n\"+\n",
       "       \"</div>\"}};\n",
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       "      console.info(\"Bokeh: all callbacks have finished\");\n",
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       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
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       "  \n",
       "    var js_urls = [];\n",
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       "    var inline_js = [\n",
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\",\"dtype\":\"float64\",\"shape\":[17656]},\"y\":{\"__ndarray__\":\"JkyBSSY/VEHBNHbLaoFVwaFNpHodLIZBg8g2sBp/UEFwwX9FUU8YQZ+YdDZoZlVBBa+yecx7PMGvENuhGABZQb0h/jKtU2xBbnR+7YjIKEHcxRFL4NdQQU9CRvBbD2lBuuUvooYtXMGb846CzdV6QQTV5hfPioVBZvLJGMy6YUHZZ+/avKBCQUoUK1PweVhBpHX8Byu7UUFV8hj3aPhrQXyXCayFukrBcxXZXJcvcsGiyxZD9C8yQYIlfcYVIltB0iu99EiQMMGCO0APQKKbwQdELJIee1bBarPXU0zraEGI2d6O/s6mwXQKfSETAXJBNOC6PpA9d8Eig1AF+mxdQfr6ulJmBFtBjIhUeKDjSUEHIpH4mF8XwbvX6ktyR4BBM5Fi21qaaMHWPOn2NnBYQQUOVXDoAWPBwwUPXPg/WkHK9h0ZzDpQQboX62XvT2lBQuGZPAwr20GwA2FeLUtBwVLHhvjEDGlBviR8jK6Ab8E4WTV8CwJVQfwqVPS/uERBVn+jgZrTIcHw2OKPy66HQUYnVq0drlxBQjTMJq8AbkFsEo6d1ihRQV/BtMVb/UNBL5u+wNJXYsE+THBW+3FMQZnKBzrqA1hB2ifV0JBxakFKID8/NdB0QWgaxbe5AJ/BWDvYVGmVG0FoZizA7+qOQZGTGB4fiTBBkjifIrTvf8GbW33iCj1gweuL+plH51VBhlMcVerRhkG91d1z4V9HQQq/VO8KH1JB3ZV5BDEcQMG67UiOPlFMQRwrQNatUFlBU7rEq4mlb8Gslk9p6+xtQQitNek7PFdBEymb47FOX0HE36M+S0CiQc2iDtMTXXBBQXZAVAsGgEEag84BLZB0wbigL5tzLFdB3kTiQMNaQ8GMIJyvXiW9QZJST+h2fATBGhIu1WW5aEGSBu0kkOJMQV3Rvl00b5BBTt/hXCGSmMHg8He2+fB8wYE9Eg+htVNBSVbySVUgcsHqF/wwSD1XQTTwLb3Np7tB/n6g2vLhH0ErvZASll8ZwQ3+FZ7HpEVBfHGjAD/ZZEF5tflnp+5zQVJ7p5Ur5V1BErFIygJMRUGlJxKLlTlHQehsPKuWsHZBFmDqxbndUEFj1bqyAI9HweLjbOzmFVVB7YzBq6tqkcFNQS6VYumbwdrXUGYNKWBBVCfq6bg4SkGW+OQwJjqeQZKYR2pNDBvBifDL+i7EN0GFFC9YRmlgQTdwBAjxuTNBQ+3RgosDO0FyTlaDv5ByQT9qEmmmw3xBu9VMFJXlYkGpvnA8RepqQaH3OdJ6kn9BOoXVvRsgM8H9Xwsf1P4sQcolkv8W9jNBzBxntk1noUGOEdH5Qes9Qbi9pmR0WHRBdVn6wpq7Y0Ff+vSqGe9VwQcDUxa+gVBBo51sBou1T0FgnHk3myhMQRGKbxutPWPB+sraLSL+RkGiLv3n1Fw0QeA+OETtLFBBD0B95qBkUUFJzME1ayxgQVa0uHiAAUbBmmGzxVGYZ0FxDVeKsq9dwfSfA1WOS4ZBwVZT1td6XkENVY2j3YOCQf52jCmTaEXBTFwxQYbIYEEeXPZaxcouQXv5LfiCpDnBwGxq7zf/Y0EYCPnQ2bFXQWS1d3rDQG1BCJCePs3kQUGg+rcI9mpUQTS7qUP5Y1FBPH2hKF0ob8Gay4Ao9pFLQeX3cBNkRWlBJ1Em9GDoN0HZGEWKqc2CQe4Sk7RgR1FBrvTLMlbDkMFXId3+DLWjwYa4BXONBkVB6RBnHN2lb0E2zWIc/+RpQfRs0QQtDXFBaUo1CjGhaMGIoM93N4tDQZ7CmhZcfGTByWUCcnx1OUHYARBSeVlbQSTudd7uA0XB/kzi31TFYkGFU1GgzC5RwaoJ+xyYMT9B+rFzvMqlRMHcPTyseO9XQbOPJ6v5L0pBovKulJJJEEFc4akVupswwTYAelgER0NB7sfjWTJ/gUEenenMz0NDQeFQzWKT2rxBZJhWByUgSsHj6YAOTmtcQQLvoJM1q6XBU1aP65xXRMGS9FH6mlRbQb79ZfFh0nHBgGb+EFbHTMEW5gNFp7lxQcqNUyaOJGVBkX4glQeYkMHXo+vJMwdDwV4aOcdn71dBcMyrrOP8mMFQlybDCWZbQWfiW8wmuEJB89/+KUpkNcHQdqzLw/EFwZ5LJELxyUVBmTvK01RHNkHq3Lo147ciwWIkk16zh0FB4VaoRaSrVkFb1wnXtXxzwW41Un1EjC5BPNitrFSPkMGXBv9LP0U8QYd0V9txolHBdakkE7rnMsEmi2GtxYxpQZyAD/9uUmTBKJTQ50O+lME73j4Fl+OQQXgsMM6Vp0pBX8g7h1+eHUEr8uGD69SjwdhdqUqZIG7BdTnNkLXnn8EewDsaP5k2QfJdWMOt5FHBclm6zo3ch0GkIfPpxKEvQTbxobdtG09B6ByRwtwRXkHnOBSfxU+qwVAjH/h58OlApALSEulkZkHP69MzJi5RQQiTUCO92NrAS7ko8+EAY0ELX87sd5ddwdma+/MYYVdB342AHvH+XUHEjswzXZ+ZweipNSTLu2fBb9jeIl2lWUFChHcHTvlRQTqMyUuyvEVBOB6iiDxnXUHWRTekzEthQdaQfvGJ1nVBNwioeSu4WcFaX87Lwy5SwQ2zWplNOKtBw1TS51wKZ0GJxhVaiS+TQZq3hO9B03NBZUSwZHbTmEHYYiMa3jZQQWCNNjJqsXbBNiBNJKyySUFonpzSQGqYQaLcQHAE2sjBDCSOqC3Da0FjEeztdyFcwXJbBCDzUm3BdFvif56wVkHRGgu9evksQbYnGpJTwlHBGMiPdazAUUFIF14Zn+RZQQrStlyGpF5BUl60Q23yfsH+mL8LuX54wWEApTnuR4tBUoVjmW4UYEElCzbYgOAgQQNSOn5yvmdBluIRC5yQZ0HYpGA58RE+QSVLtP+iYkNBBGCXH2P/u0FOAOFFefRRQX17TfGRekZBGuWnyyPGR0GOfyM0d29WQdC9C7tJiVBB1hVG+n8VY0GZ+tY4EOmiQSDGab2mMWjBjI1vfN1xQEHcaPEIvoJgQVyId6UzEJRBiviP26/OWcHt8LNsP78/QbTgruQFMQjBvubid5SxU0F1wDT/gCdFQdu5OvzrXFBBfZeTmkkKVcELLzqCvly2QXJn6rTgkDzBeCbVnWTmNUHtzHC1KjJGQXvna5Qh3YFB5XQS0tYCgEG97uENKmjWwZxMaQy0f5fB+JVU+LCJVUE2foQYi1szwcAKu1uYZGBBtfcqX9EdQkHwr2O3fJ1bQRpvYP4BDl1BP+xS9CZpZ0Fel6DchsGjQYr+pxh5OMNBHDaNC8HcZkGGF9aW8RZ5QRPQd8VbTkXBP3SR0pj+0cH9F7tSM7VEQQxJm3iLxovBQumhrgFchsGUvynoothnQbi4N9Hz/21BvJ6Q78zMXMFlOYYqzkx0wScdjnpKZIxB7bJr+GE5h8GshaftWMZqQcIMjo/q6GBBiUYpXgUvX0GqFiUi1iiGQRjmGTNCw7JBh4hp1C78bUExkJwIzgNdQa/NeZx6gkdB8frT4wObaEHxYJhyShJLQeEur76hy0ZB461bf0ZtSMHYZFYSmMRRQTCWnmzRxVpBMFp2IAIcUEEyL0qoY1IsQcTY27rHoIBBjuI4+MoweEFsGxz075I4wbGEgS+T6URBxPBeYmUmd8HYhtMlpN00QWLoO4pD/ElBTKP5kRp/gUGQaOrbMVxAQbJgPt0P32VBINerv9DIY0H5OX+4xnxoQZ/AQGtTvy5BvQhSIHhtvsEw6ZQ3v0tRQVQFqTz20lNBJFFouOnXgMHAaNxvSwZRQVfx/k/OHUZBuBgIFm4ND8F+QCIMCkJpwYIk7aPEY61Bgm3DvQP3gsE8lHdQouBtwaLmuQa+Z11BiKNrfkxZUkECOlY3XKHSwQ698S/hpF1BYKchva2v20BWj839Wgc/wcA/+Oe8+lBB4xys8I1ROkHDOkP99UxRQX4Z2ROgKzbB8zRMEAMQUUExZwwAWl9RQY4vJuQyc2RBmGEOwqF4YkE+Zaz1HI+KQVxOOtW/A0dBioSn7xKjocE0396WMtNHQZpA8XXRBWJBG7RlRzFJaEFdFXeFN4RjQf7+cw/E9CfBZEZ2NM7SWUFyz/NBB1iVwdXPNqdRA4DB0m+5owL7L0Fim8F0gD1SQfB77UaCd0VBo0eTM/xiUkFcmLZdHN85weibprazDn9BX+8Hos7/TkEav3A4Vv2NwYKqTWKZukNBh/fZC0XsYEGqkjQTRd12weQw1TwFUVtBGMs8BFXkDMEKExhZ2fBoQVjhXsdW0R1BYAEhEAuNOUHm+/XSs7x9wbscVM7SCZBB/gr5TwnWZEH50JdgdMv7wKWBD5I4U4xBJ+ghX2QzkEHACtRPDepYQb56pIUhhE5Bbmz4/j7AcEF03pvoQ25tQQTgGDLHMR3BLHZmn/5TlcGN/gCtQTBFwZd6Nm8tcTFBvAKvyj0rQMEL0orais5nQaqagql5PjVBYYdyFXDmSkGbAW5OR91kQdfJ6UYGbFRB0090sLwtb0GADD/8vi5mQaLyIbBH8l1Bi8HUYhuNYUEbExAvttM2QQT9mS3HkAlB0fN9TFsvZkFdJsUkGJqRQahqnfUqY1FBE1H4ucWgSEGigHqvPHVhQT6UcSMPc3NBpEhMs/nkc8HmRAs8sERSQdToWDVQKlBBbByL07dSgcEo+uDX5RdSQa8u6s8flWvBhPn7+MzUZkH47hQDZS81QQTkue3armJBoMeQINKtWEGvAzFveEiMwXkBcxvNqXRBvskNNtnCdUFnzYAymxZFQWiu0oA8UHbBBnxqdlWWOEF4qEl/nlT9wNmIe9tG7FBBHOu2VNdmd0GCVTG8updEQber/ik2sEZByCOrQz7UZUEK8bKi9O1WQRuEbJG4SVpB9IZng7nzYsEgipQ6FLJTQRgggpwHD1FB3/Vnpm/LR8G2U/37j8ZNQXVTMdg8GXlBq7IV00WIZUHLGWKZve+HQWGs0Hkni5ZBmddiDrFlr0Eo5hl4SWkoQQp+wtZxDEBBqsFM5MDdXUG9skjRImA5QTMtpLs4hnfBHFyCyOjrYEGLdUEY8p+vwRyUnsvQOnfBSxt2BcrqVkFaCDDgUP9yQfSKLxQvOJhB9r8e28POKEGsLAlCs3zMwX5PjG7G26NBns8lKx/6O8Hg8UX4QDsBwf5ZbiCEmilBn0t3Fov+MUEfx8Jhz79FQd9WFcmjCHdBqeJonY/nXUESDZjE6UsxwSg05Z26hiXB3sgOapU+eEFLL/Aw4V5yQYu9J9m02lrB0YW0w/8oTkE9ujdvClhUQYb38EMDpA7BrPhSjNf8TUH7sycX0x16weGkclF5wmxBtC8XY3JPcsEK3d53QaWBwdqkadC9yGxBhK2AevMpl0HevEnm+CpnQea+VeGL7k9BckGoydK5ZUH+f8Z58vx0QTl1MvKnmEtBZ5apDEdMUEHTdCPKBfRvwWDPLijLbFFByMjLLrU3SkHrAEBw4G+LwW5uMBc0jZLBaCdr8YmbRUG0EOtk4yp5wSMNL12JIIRB/CslNK3BUkFR+laI8lZzQSTVGFnBUmBBBMzDhiX3SMEyfFxQATN0QZ/QO1Yyf+nBlSxpeclZgUEwmmggrp1nwZ9B3BmRw1TBpl1OYyGShMHovhOH9FR0QaeU7zzwlYvB6im5DUgWM0GU/+hlZNRqQWFICTp70EHBcq69mQ2QXEHjsFXcBS17QaP9ge5hC1NBLKS6Xu97lUEmoSVN0nFYQfZodTqMJmFBw4jMeTKCU0GgoZwn1n5bQUyfes7EZ1hBhttEQs7ceEHAtgn4MJdWQUB6Iq8YRGxBAkThTVu5VcECGLC3R5hmQcOSndk+9lVBjDDv4P+9UEGXY0DiPRRSQbY16VJtwTRBvIpvCuX4WEGaAeNxgMl0wRM/EhKtDVNBdJG4YxVaTcGCRqOQ2xtwQbweRBX4FYZBdu3SUskdRUFq62D193wuQczwV2pj/lBB40dnuYvsqkE4/CWEsB12QdlDFxoizTtBQ4fJkK/rOsFaDRBlch5PwfuJNNW8xrdB0DV4ClhIbsHvBJr29dpYQcCvGOg7a1bBDLkRxajjq8Hychli68N5QX+rHFOtSlNBgIWDWo+9akFu6120w6xVwRO6IMHfZ0pBuA2Xg5VRaUHPo3EaVOYQQWMyHg06TmhBvDH2/RqHgkGMXJR2zO6eQa1tWrHi26TBq4U0W8nUw0EY0Fn5+TIgQV3NqWQAz1xBz7C8NSj2dEG8yNxQ5UNFQWlf/GeuO1tByxliTO6USEHsFRI5MeuOQdAF25JBplxB+G0jqNUbb0F13pgooQF3QfESPruyjEdBAITZiYN1aUHkF3iLDzNawXuTM3fQTlFBT54loU5NOkEDOA9f1dk1QbEdPB8VHV5BfMqjcuEZUkFSMTlXwRIZQYSOJIiuM1lBjt3BzxOZdsFoYdLVBj5bQQgbW4oP8HFBMvM2ofBbRMF2hHq2mCdzQao0caMLPWTBViFJ/4ScZEEwsACGC6ZkwSbi4y3dVlBB4WfmA7REfEHjStcFbQhWQVHgGfibOHJB5+Ctair3ZUGVqvQj8q1WQasP0M5pbTPBupgUHqBkb0GqTedlFYOCwZ568k4I4MNBuUnYmT/AcMHKzTbVoEtQQW7AfXw7tExBljuc7ohJlMEChrHu3k9YQc5eLvK53qZB5ZmpVK5CZEG6n32iQTM/wWyC02fR2qzB01vp+ndyZkHvtXTObo6KQVMuv9LUV0XB3QrDq66jUUHhejNsdyuAQTNPS3rL9j9B3W6KmsSibkFpdB2ReC9LwcIh9xZ7f2RBBqv7fU9aMUG0zR+5OEFvQbQFpG6/ALFBPHQn+O2pFkFo30rZBO9kwW6643FNoy5BNngUssIgpEEVV9VekfBfQXQBSNmDB0ZBU/UDCoEdS8HiIAkM1CajQa60bkyYtTPBYuXFWgsWZkFBYxv/QO9UQb3h4fARt2hBUix0x7ZKTEGaFtZd5T5Kwbu3GuF+71RB1rujfD4nS8FLOVP+CD4zQQF2oTsD+0VBy9UckIMkVEHBbQRFsuhGQVZXwqiNBVVBa6U09f+FYcG0XRNQF+V5QVVeOJ5L0YVBrLPbUblSaEE84Pq2kMd5wffIAvQ4kGpB0LIVlt6C/sCBucEPYj55QcuxMo+Fs0ZB1mJEIuB5IMGmdupzoYdswfT/PQtX4URB20vXvTBfgEESSlW5JQR0QTojhc1rVvRAnmXIx6SFRkGMGiD+7XHowDaykxy0a1pBqB9NoCOfWsGNOn/79NS1wSxFU/hI2VlBV48Q7M8ha0H282IGxJsHwfboPvv9rG9BW2TO65ZEfcGyhzU5qhNMQRLzOnHWmztBiADbxeOYT0FwIUHyEFlMQa+NBcePnFVBbwpInU3gT0GL/yb+qvpuQYNYnYIe1U3BzZByN50oUkEvpR3zMK+AwU0Psl+WvWZBfCWooFvVbEF1UN04M2d7waImZ9eyPV5BsAKAxLY+PkFxRHFVo3ZLQZIqzFAR9UxBEAAuOQhkZUFAiF3+TUxnQSv6bU3IALXBKDeu0rxjdMGCUYh1a+FJwe5f3Bcho2NB3YnQhjARGEGYcuah28toQcTC8sYtTD5BevkeDvx/aUGNYblou49mQVLb9KE8+4FBKaM2fEz9MkF0bkSVDaZBQRonu+ud1HFBPhDmMSEOVsG0hEktMzN8wW/FcvwoMqPBkv70ZpmEPkFVFacfZ3I2QWXtNKPg+1rBtMoSYznqXEHKwFeC9CUkQdWZARRpWYfB+Fp6zytxg8FT7tvbwFpOQTSDj56xiE5B9Jzd6CCPWUF5zmythtQ2QeTGj7zhfWBBNnfh/cEETkFFCiUJi7uXwfPG4TiQtyLBtY4lf35OYMFARcTg6OtAQfhJeTSe/4pBwS4c5DH5UEFx0G2TlhI7wa1ZKehiMZFBHl41L6ouTUGuNzoVCF10QQTlk4vmfV5BOWCAHSs7U0HApZsEqVp0QYo5t5DnuGVBKpwbFNncPkFKta02uxAWwfZfDXVQeVxBXSWkpj+ZgMGbWqPDoklVQVKn/aAZP3VBaouqHBi2ZsGZ67BeOUBHwTqkgZctxl9BEFCa8uflj8ELsKbT82Npwd/N0jQsPJfB+wMfWZYzYUHa6BNLkdFNQcrDGs9pNkJB2N6bLdqNMMGwubw8S11jQQ99xb4ftXXBvK+xremLIEHtzFJDJcwvwdhe1HcU3WVBMcNLJuZVf0ErxmO/H4J8wY+sNWFmUVRB0/xvMk5EQUFk6u/ETOw8wcJCvkHyNHrBRaEv8C/USkFdUzpAz9JrQcmI96Sai19BTXJrA4NPlMGyR2+ONmlRwdZl3wSAtFLBmgtWTY1zhMEsYiAnaNNXQcMAnHCeepHBaBud1T+5YEGw7U148E9WQVgJgci++3dB1GPPNzX6REEfz97wZMpPwZL3Unz0m5xB72XvsqL7Z8ES6J9hVfRTQZscuGQ+Yn5B8QnhSYYmckHve9yogLEqQcSyAvR/k05BFpBuymh/K0EIBxusxRxYwSZxLj+rc2pBoJlSNymMasGO10J8N/xgQYZA3HqXanNBlOix+fa1HsHtQsXTCJZSQeXitHEwWlJBDUPsVj48okGE/yaOtBttQYU9UddFzjRB5osNVKb6ssGPnndtCIzIQSQcN6UMimJBWvCZO5SNSUELgXL84rI6Qab6lQaLIE1Bs6Zu40H1lcGhah++TE84wdKJiunrflrBH73btGzTWUFqrUgEpQNhQV/x4yK5uF1BO0p/3jnVfEHKwrJiN1U0QeySsbrgWoTBLrz1FkCaRUGifId94YFHQeB6OyUb3EZBDBONoxANgsGy2W9gQtlowXhOHNAJKmtB5mb8ZIi6P0HenAN325FjwVq35g4DDF3BmjFzKjj7bMGaF2uBnn5JQS4T8ZDjt29BRERIb7OPYUHw4K6j40ZbQSoVTd/Tnh9Bahpl7TJZXEEqoFEXrCFWQawZaxO3SlBBxM1tiu9UJkEYXjZ1LRNFQfHsWxgAo1xBgj7iMOy1U0Hg91qkerVowXgWgnt/FY/BbRVeDtSNUcF/VveABKBCwWxKVqzPha5B+uX7fx9tS0EOXZDGvOJaQTYUGkILrYLBPf9VI8RhP0FJy3XgMipXQSxY6EUSMFVBhx9Z2vP1l0GPWCQUpbxvQfGthF3k+ErBfj4kDm1UjcHGQM6ygVA8QYBN40Fn8mNBTOea4/ZqFsHa0y2Q7AJUweOb2M1+zEFBS+TeaVcIa0HU1C105SdkwRa0M7o1fFFB8OEusM8DWEEFK8FERD1swfnJoTb6x3JBJcK1kR0xj0HmKZxZg8RMQVq+W/Euv0VB09QEcTCfckGBA1CMFE1oQRT3Xtux9WBB2M0ZS8AbScEUyDF/yVFxwaKVAJy3l31BnemeZ9zrP8FY31q/7Z9IQetkAUazzSBBuoVXxaKKXUEEF77QLQeOQfAsbSl+NHJBOl6ICqX1e8GIFdIKI11NQSjhchOWy7rBkEjmf+KaSUGy1Jp6nK6BwWun8blsVT/BbDPywOtMdME/KM6z7hBYQQ29KicollFB8JNQ2kP0VMGYCjyjiF6twUpnmEXIbXbBJSyOy8z0dkE20dj4dAEEwQRWlSMPn2JB/gb0dq2yG0EXFRSLYfxAQURs0wbJkXlBAB+0v+KgakFRAkbUh9NHQXgATObiEorBH8ZsE969TcHMW/sS47zTQURM91Tdhc1BSZD6fEW4W0HyfYX0ajQCQZVN3eBPZyjBIhCOJloBYkHoBF8ozv99wdXbu/FnbGJBnu14s7hKc0FMl6MNQN9CQcLfhrZK6YrBfv8r4pJBlUETTlkrMCeiQVKiOq3QAU5BQo/zDwccTkHpyHSfhTZ4wdw6G64O8XRBKpngfpv3YME0sBVfuVhTQRpythuA2WRBn4kb67yzYEF6XxL/zBhPQazzHedcl2FB40RrhtogYEEKpMvqo5uEQRRFOCVqvkRBAJyFZctkoMG0R7j7RDdeQeKCdLWjDHjBQVJM1fKKakFvT+fxDeuBQUCXqBZu7VtBBL+UQRIZYcGd3wtb+fUcwWmvZM3574NBXvXygJeyc0HKCP5eg/dwQRIlpk8PTlBBzq6HnD0KUkHG+wDVTs81QejboeFlwmxBpio1dgkpgUFKAvznjIhdQf58Jk96YDrBz/U9jVUlhMFC9TIXuOJ8wWDUrJOMC5vB5ex46ZO6SUEqL1jQFfZXQYmtDZLG1JPBzN4ukbwSn8GVyi7kCklzwQA8r13f3GBBcmnUGximZMG+7h0YECIAwfPPqVxaPWZBjt277TbOWsHA9uPMAOdQQQsisct7BGJBYKP554ZygcEbXk1FPqZ2QcGmxe9BcobBETi+lVLPREEL6a/XtoNUQRcuKwrH6lxBTFkiIbFRYsGUic3Kgh1iQQU/q2/1RTfBVHh9uM97cUEDCeTwQJ09wTEIAkkc029B5pMKGsbGZsFA20kcroBwwWxz55617lRB2h85BtKlVUGM8DLzKTJrQYi8Lufu1ZRBcl2X70Jdg0GgwRdVPK6HQThbdff+EVVBEngLFZzXG8ELs8ynljZbQQYdOMOUH0HBwP0//LcYTkHPkzOKzCRBwVeHZS4ZEUhB7svOXcSPekHhQ94g+fhAQTErLmgstXDB9iR57DTSTEHrSJD+5mJ6QTx76W4THUpBDsSnpXsCicF9KnkjM0hRQRkcjs04gmBBHKSpngNPZEFB+FwSeVgvQVklW66O4JbBpLR8oNcyX0GUj3lm9UJ0QXFmziTaAlzB3S97x9v/VkFNA5vg859kQeJ92kv/2EZB++O7SE7oTMHjb6cJ41NFQT3pvgQpjZnBqH2yuXudd0GW4jlpzHyDQZCkzIW33JHB6/QDncxpSsHcqw0vj2RJwYzdnYTxL7TBxHVW9GKNY0GJ9CFqJ11jQT0gdLylhwtBgroE5Q+VVEH+c6LPeUljwQ6Lt8v7JUxB9N0mRIdKckHgVLjuL5F9wetIWxAwITNB2sw8b07oP0GDbhrZe9BjQZYMo+qv9pxBirG2aX1JQ8E8HL0UnJ13QY5EgkrJDUPBF3qfbxSWM0ETEdNX8J5ZQdMMTqly+2FBWHX2uEdMB0FNw76qPMWCQc0BM4wlvnVBJ7P3uLcaUUG0ZV6mV3RXQbmGfF6DonFBEKN213TFncFNg5TLRmM4QYkIM3rspElBDf3Y6jyWbkHPjSpOtiymwayvX5il26zBhKs9/SpiV0H2NxoSD1JVQe6bozGoknfBXT9KfnX1ccG765Rgu2VSQdPvl84lYlxBXrP5o+xaL0EJYwz5PrtxQYCJk+bxQlFBHMV/HpL3XkHE/2DrLqCSQcQ1EWmVRrzBkkQGBqiG7MFhb5W804JkQbvJVMS1Y6zBi4SwLzBnZMEeSt1Uy/RnQfM9n5tMWYLBfd1mWlzMd8FbIlqlK2ZoQXq6BBgOOmFBk5sceQgfUkF7qRru3thxQU5djKcYHl1B+DPuIiy7P8F0cmQxSVxQQW0VwwVjxFBBnVsUb0B1YEHrux+qate7wZX06pMRiU5B2i8APdg8U8HWSD7nVoFhQZYjRaWuDWdBvu0C2bQnSUHIkIOtLYCjwWlW+0nJZozBuTPvYIhCZ0EY/IyQTnhdQWWhksMrZ31BltuOWlQmOsGmFWLZlFmCQTiIlWzIDUJB/aOLKiB4QEG7sUohYzN7QY7St9pl4YTByA8oC9KliMEk3vcu4BZxQaSA/sKRpT5BGXken1gKfEF0TMdQQuNoQYAjf7sitGBBTPhvZlZucUHSj4YLBpFzwS69cIfjfXhBYPDc161JVUE5b9XRWGxQwYQo6kY32IBBIONhDlj/IcHkLm3/2HxIQU4IvJH6UY7B6JHNDak8uMF1oVz1tvFCQROg72rNcVVB3ucHlzrwZsERqU4z/9ZbQbKThj6tH1RBw7I7qUFBbkE9iW/kmzYnwSQilqWZmj5BPIrVP1v2Z0HvQuv6K7Y2wTOJ5W3jYkRB60nNBosAUcEtbL+zTvxrQcoRFOyORFRBYCjRD2yTCkHctOaUaxlSQQFILwn/ZFRBCO94vyZEWUEn3rDwEeRoQUSVy9FZYFNBXqCNgr4CY0FWHePgeo9lQXjN/Cz4PmZBmjYpARUxQUG70961f6dnwVB4wqlX12BBfefrRbYjnMGs6lLnXDBLQfBMi7UoqF1BpK6UjgALlkFIpFJYXipFQXKq05xFTI3BNJkcBgdxkUG5sDwd0yU9Qdf9dPaY6orBiHPMUJ73Z0HOt9TuXyVgQRrJIyRGF31Bce90WzHVJsEvBUvi06ppQaj5yKPVmHzBQK5J3eyNVUES5ffuKa1hQb3loLC3r05Beqn7AMR4YMH0THgn9nZNQcTKzKV0PELBYMap0+TYRUEyTkWOuHdOwUJaaanhFUtBYgg780sDcEEuWStlmOKcwWk9d/5YvDvBUgxmZahqRUGxB8vx+DiEQVKa13pWT1/BEDj5EOtmc0GOaJjxAQ5eQeznppw7mAHBmAcc+kMbVsHwB37TKYVEQbg0dBByOlVBVvVrI+27TsGpav5o4Zh9QRpX3yhHv19BYiArAB5RXcFQGyT3tIVgQTW+p1RXeEJB4l9hh6GTTUEA9wHz2+52QfTZ3Nk8o4bBWVTVFKfcSkHbCzmBVubAQfL6l+UvvZXB2t9pVQQNAcFE4TGFMzdSQYIBYZQ8EUxB2S1t+6VyOME3oTv/np9CQfBU+NDFX3JBMS4QV1MiwUGf0WrbWLpgwTyYsAz/HWVBUt59zGu3UcH73ePDuTgxQfS0l0Qt+1ZBlWLmN3yFaUFwbtUvy39eQaqfPbW4VG5BzJB/wzUjOEFgjIfYFNUdwWJLbAR26jnB6BDzHg4EUEHjg9COEipGwR5BLvxMAmFB53zsaLxUM0FoWGJxBffswYgutZqsHHBBUeq8V0sgcUHck4wd/AlkQVI1K9Mev0dBpqmAP8NIWsFICWI0kCFgQd5V9W3pOl1BjkouG8X8TMHQWn/IeN8iQbS4DdiuxF5BdqfENMLCUkF+ZlFyNhJ7QZeonjAh+XTBwKzqQLFdwcFy0A4c03hYQfxCiyzXCFNBE6a99qrVTcEtrJe4wVVmwb+bwHCavB9BFpHv87ROakH/lwxJWK5EQf+qDElIEXJBqnrryc8eYEEY8Jl2zIxjQeGKasY1xk5B6j0oHG8yMUHOkf4dlkppQdRlGfZm3EdBFvirxuQTYUEY/4rBMP1BQSZuhPb2ckxBGs1aSilYscEGpNMZcHZawcQLm/BlFWlBbLPJvzXxZkHoqGOXHSMwQdLxpAQVJ0VBNFy5ordEcEHa5b3nw1BNwUxola4IgldBzLnPvi4CYUEsDHnfv71yQewi2LHn6oFBnIqad7H1H8FtBkzcEX1WQVNQKcH2xWtBZoISMGrFlsHhnCZJtIZfwcbqIGI7c1ZBcxbqGpHXbkHL+X9/5URowZLYV+fayWhBJlQ5BWVcOMFP88V+ncdkwSxOWv2321xBQePancdhUsE5iZwB1CggQe7I94tgdTNBHgiKfAZhZ0HehBiGgis3QXE6zNebFkxBP5OsMaAaT0FNc25mhd9gwYELQIW8wFhBnwPVsr0eUkHDe0gtZedgQTdUoMJQbzZBosYTfaWOR0GWEazCDnQQweqAr2eV1DtBthaOfBi/T0GyeD2j1TJeQTEH6SXcuVdBMIeME9/AakHKeEegD/8nQSocUv24sZxBwgs4AcdnTUF0WRbZB+XBwYBiZ5d6hVnB0j8uAGroS0H7lsJPgq2vwX+03JjiFmRB6BkfX5hJRkFASCMSCou0wcth4mFR2ILBInpd9QxkTUEF9VgxjDZjQUQYhGsd41ZB6lG/89kqWsG+GZPqymCiQWoUCV/dqLhB2dpp4MacgMEIWeICey5VQcgpqzX46lhB3hGRckAxmcFiTtend3N6wYuynxStJKHBUEsSUgOOW0FL18nyj2BawYxdccB71nfBCOhrjIJ/V0GBGrVo30xPQfiUP0b+MgFBZg+gqrlSRkH2cIfvRh1kQQqUbTkGNIpB4x1nTzZ+XkFXBYugszc2waCeKgNdwFFBmZatMLimpcGKuFJ+Re1OQYS4bPDTF1bBrncD/tVoX0E4nG9qVcFYQbTvOjHRW1fBuKli8TUqQkHZ6ztLdZ8xQZ5Wmr3aBihBpg8Vtd/GVUHQNccha1CAwfadsP3nKmNBx8skbEgJIkGOiXn5wZxLQdIoF1Fd6ENBEIGmfMrZRUF+flLrAyphQQCzqpHk8oxBIgCJK+vua0GFDkFgc9g7QQrOywClBU1B3IjT/bjjUEEOV4PiI+BHQaeIZNmYJYDBVvjeRLWfTsFCXgb7keCKQf8HcSFYNx1BQh4B4sCPZkFcGrsc+7+wwSp1b6/aUWpBxHc3AQwXMkHMNZaPGvN6QUxJN5RfE2zBr8wuoUgxucE8+16nD3tqQY12AmzwOohB46mf45brYUG0nH5E5r5TQRQuOt1TLFFBnNIRhImYYUEMu5Cta39ZwSDH7PoYa2tBLjJZbfLfb8F0mcKBvjdVQUoM5d2LaUlBGRvybZLXo8Fvv+ID059iQQShKNPYkXRBQaFf5qnzbEFWEb4f/wwewT5HoYN9343BnUrMqcfId8F7IfqkJ25NQQCuMTUh0m9BQxhsAPKpgUFvOBQxb1lCQeoOFMXR9FxB2NkFlxIUSkHHYweQhApGQWJNFvIqSRTB4aiS0qOOMUHSvWfncJobwY6Ot1DGrWfB4Io9RrysWkFQ0KU6NWI4QQLatABwCG5Bzp7VUgm0UsHMBL1NG91HQW5ic5fwSV9BXcJ7Z9VIUEGAbavP4KI3QRDzlYotRUJBqJGFJukFt8EHKpnj9HeUwQlJJYjw/21BnDWvwn6vWkGiFRitf6Nswdwvl+gQzUpB8I43wqrcWEFvP876BpSUQVilXBShCElBTqVYBZJ2nMFzpWdIzlRawQiQ89q4hFRBIjYsAA5LSEEiKPBhOPVlwebRfr1c40BBukr1RE/2Q0GQY+Q80r1OwQznOUVqtVbBloJzlX0yjUEuTSDNsq1YQYXznVROd1NBOWhTthFGZEHewtvkFHJfQbCw0sulfFtBUvPMPBalbEHebfrzPMBCQS4hVcSOiWHBnO+ssfNURUEGmrQoj3tOwdKQ/oFrtlvBEKyVQkVyYEHs5NexR25WQStD4OKe809BM/CKVdSmMEHToO6ZCGJpQdn1wB34hEBBKs/fQNieWEFMIa4nxBpXQY5gRhDPpYHBivVnMSAIgUGwh8CuM9J+wTCx0MNRRHnBRzJwNDhfPkHgZRvNNm8oQQlN1ZTSiVVBMPWo4LcFPkFO3iMa5YBJQVjumg2K12DBeQuoI4FUWUGA4qZDzE5mwZlaTdrThXJBJJNo4rZKUEH6LCaNCAJjQc4aDSEu8WPBBE0pesoJTUHsnJst/iuCQeRFE9ZxdEjBSnYCXEwSo8EKa9gLm1UwwfSLmdUE3h/BWDDjKiRvc0EWj9Z7Pch8QQz2ycHxvXpBXBBEcBhYUUF87I1DuaZ7QXyul1CgaGdBEvnRy9Mig0FMqvNP2lR7wSa48qtwLWJBLQhm/omAd0FMLWhwdCUuwYHD/xYp9UpBLMwxoRLaT0ExRYnSKgd6QTgeFGXiEG1BMkUysHLzccEmerFoZuVUwTv+TA2Tzk1B9RRgCVSSS0FAFwaUMtFiwX9+IHyrs0PBzQgf1MFxbEEpDSN7S0BGQUI2LX3w6U1BQOgatjCdbEGGHfMsFidgwcLOA8Tfr3nBpp7g792pdEF7RqRns7JTwST9WC74v0FB/HXzr/iopUFBLt7E04hJQVCc7r2IOWBBQ/Gc6YCvhcGMPO7D0/xWQRbDX1V3FHFBbENExeZCU0FvfCI7Ssd5QVA0uy9eGlRB7DrZTGFExkFm9ownEzBEwbGviiyz30JBr/NjO3PKQkHIYyAWXPFhQbR9y0IEX2JBXXkL4+mxTEG+To9eh2tgQXSyIKNifz5B/wnR93JyUEHaDsNWzkdYwZl9QhSr/mvBWSsrenizRUFJtpG+Y4aZwdFkLgEJ659BFtgCJdJno8HBL7Oi4dxnQRdlKbl3hpXBbCPcy9f+TEGIrJU463pnQbgyAFd803NByRPAJZD+UEFOjeyOT2BPQR45/6fqy33BszOucBd6acHgC7w84VYVQRK0CsIC5VNBwoukqOM8cEF7IXm6me6hQdruaezDR1vBX2YhhbEIdkGK8QJwtwCbQdcx+3QYkLBBuh6Lyzu2UEGWGd+RzDs1QdaELr+CtmtBBghOI1rBQcGMlT+pdohWwUTaeEfeLE5Bu7uhVTgxcEFaoFak86GiQSF2GOV28WbBRvvPFyHWNEGsnVZlO6p8Qa85UXY+P7vBei89XJr/mMEfemnwyphHQRzInDMf2IBBA4M2nAphiEHw/4XuSlhYwVVGqhl1BmJB+sLRHx32SEHsQahS9nNpQVIrC+o04zdBct1+f9XcXUEDh6nmOrJgwSJk+8IwoGZBhr1PftvlUsFSVOizSjFxQQ5BFwrfL2JB1i5yTvq6REHJLBpMiQ1nQZfFOhTjw2NBjSMM7rWYWEHmw3kdPpBhQeo7YluWfT1Bss5kkdSIP0FB+vkXZx3CwdwwXznOnTFBM8ryjKbecEGrhvOi1p2FQej+7RS2KE1BqsmY3LPUGUFevd4ljAYcQYq/DmsZLDvBGvCyWcDUVEGGAzRIAf9SQQwUO4H8GCdBIj3+gHzWuEEUYZKVVn9PQU0W1cv1X2NB9gCQ7O+xOEFMdifJlIF8wb/1nAh5RkZBQj2F1b6Cf8EMEcg1eSWmwYYLJNbsHkbBoWBw4clkY0HZUpRHvPhKQaN9MTAfB11Bdy+86+lBX0FK8NoaY46BQYuGabS3sVhBhGcMTN8ljsFpPBoNob1hQbi/baVcQirBH4FXzQH2X0HAG/zkb8Aywf/hjDlPcVZBU3FRjwW4VkHKfAzbE+tTQX5/kcr/AVdBQ1r7O0gbc0GFTatQ1i1rQZqmgXv1DWZBOqQ2Xe/qTkGHnTmE5CihwTcaLEC0D0xB/lB8+Wg5NkG+RdO+nipbQawFqrVdwGtBp/wxT8dDJMEGqC/PBL1NQYnlz6Y8dHVByjWv8jWQYkFh7HYg0dpswQ6U04BVq2NB5NA49DD/ckGUQwFGvBtTwZ0ijvk3+WDBttzzT0eQMEGZxJH8uSByQeIXptCogmBBvafLP6H1cUGUgzO/pg6DwTwRfrlzLXRBUqjavg+rOkEcJXYipsBCQUc7PdA7fXpBfX+hAy8QT0GogVXKDfh1QWFlZg5voDjBiKPp2LhQZkGEVVhntrdtQYJLKI4b6EtBATCFawTPLkFj2jGzg02ewaPsuSpAWlRBuGPCAi2RRkED6Bo4QatuQb82sO1U4khBjiSuKK/LRkHlCdg1VVmXwZOYhYqn3nDBMsjVJofCFEFpD2MWj7lSQVMTQBKZfHTBfSZIePM0SUHPlnmzhUMqQS+n5kwQ+EPBPZJ/GMSRY0EIChkzTrBlwSCksLvvej1BbcWYET8oQME+f7+CvgxsQUxineLf13DBIhCeIcUWQ8GM+CaBHallQXQ8BKyBU6RBzYz+zCumakEsX03LIs+tQa/OhI11LVVBXJsZM4a4YcGv6Rvj5GV4QZsjgCOWkGNBV1ds25JWQ0EMZrTsTu9gQQ/VmXI+zpBBkAsmisIYOMEu1IuRKVQnQdQ9U1vl3UBBtv/gF5NeecHcaiHlTASGQT1KrNgDIW1BogayQJYxQcHcWUz23L9GQTiNv1pcm0FB349pdb5Fn8HdeVPGBNVhQaSkjYQum1ZBxpRhBOdyW8HGJXikKKtdQdScJkexblHBnpWYwPDCQkEqVVNGsGhrQeT9Bn6C01hBTqP/DfdIcsEdFyxxCxp7QXNSVFjUjZjB1MDNa8l8SUHQhGZ5LCAyQXvPaJzHDHFBg54xzyzoU0EFIWyxqAMkwV8M1m5KOGrBdjtmBNbUdkEREQabsmseQSZFPCD4c3ZB+hiZnsOVlEHnHPxUr2VVQRaZpJRhVFRBpE4LLbkiY8E4t+23FfFlQfoK3wYrWMbBBmVFPI1tZkEkXbCVWVFWQfG0/DQPel7BiKCdjV2TI0GWNLCGZhBCwTqYR7U+mFtB4dKCmFkoWkGl4veaDggxQdrJpbBgPU/Bhid1ntpmUUEYQcvm+w5zwfiHUkg4wHLBuk7vqcYUZUE9G5/+wfFNQSkGCQND32pBLCkmJ5p+ZUHweSlKf2pPwY9Jd/ZNCFdBBuKqCFa4kMHhl3EKtrjZQRb3NMkA01pBCBh78reoYkHqNxUjOPElweb/FhXXV4BB6ExdHPQJVUEej+6rQFtPwdmMt/81AXhBb00OWINcBkEuI5ZgPFx8wX+DTIkpqFpB9uXaSZHkm8GTRg1qTqZ0wbKTPyqzaXxBLmeQUdknZsFW4S+nphJSQQaeuZQ8VFlBGFq/JteBd8Eo6BJQhs1NQYhGX1HTdcrB2no0Px7lO0EcP+Trzbp7wfQRqoZUJV1Bl0hLDjvRoEFO/RbMmD43QepMDLP4m3rBZhRFgCEiYUFuj/pJud20Qef+g2z1cUrB2OkwEFAzXMHEfnfsuXNiQcpBLoWXDTpB3hmOvxMrc8GwZ+DsVHF6QaBro1ValmPBTuHKZnPXVME+2mxREmFcwQBszH5Yr2tB2wDpWD7mcsHDzpmyKkbqwGLpG28yImFB3+CTYAlmbEEAfhtByed0wSInhTPKfEXBL77ZFg/Xc0GabiH0prFVwR2RrrfPw0lBCtKj49sXWkGLIBgtxsKCQV2/tQYkGWDBYmCBU/hHVEHvinFBUklvQSW2feL+7ZXBEPsjbRI3SkEKHotGDotbwcqwNXsKXKHBaqt1N09kWkEg2iUIz9ZwwXwRDVpMAfZAC2ni3VNSZkG3a0ePs9hVQUHxW/Vawo3Bkq2ZMWjLUEEQ6JN8d0plQcwz13KhA1JB2vXqDH72O0Gy2is8zY5CQaDt9ezuAJDBKNzsr3KcQMFodCcwq7VPQQkV1rT5Qb7Bujx9/ym7ZUGccxWemIdNwUUUPZsxOjrB5n3aTcSZiUGgiJIdupaPwQQLmj/zF1tBEmVVXAHtkEGqCHByfCwxQUgBq0QzjXdBJnjkoBs0SUH3IEfyswtYQRNC/iM3JStB8jFk8UErT0Ez1u4IFcNowd6Zki5JUlDBsHx0gZEWWEGsJLEzl8RJQQoliUGXhX9Bn+ZMlJu3jsG245/PvhtQQRTQk9f4iUtBnqp3Z2E9bUHcnLbZX8mgwU6mE4ncOFBBLneXrTdrosF/qAQYOOB7QcezwzxkDFtBRnwZcRVHfsEAN5HRh1g8QUN22dtqDktBI1t66m1c6ECugqdWcXg2QWaWjLT1jmNBUDqSYrbrXEGasKmsPJxgQYNvDHVpUopB+CemYknzaEGce9HbV0ozwVtQ1UfDPzdBqlzR/hz7M0Hqr7PdfrY2QcawcLcHC4pBZXzRMIxDRkHFNdQxVOokQTx83p+qCl7Bs16csTJSd0GA9Ru3MQ0yQfOWuxEKPmFBWHF4IY9x+UA0nnmMrLAewXjayXPAx2XBnmzay5ihQUGIeUfI2EFsQYkbxHPed2JBrqajd2aCYsG6EBicvINOQUI+4JPaKrDBeiG5FjNPJkHaO+jvHSFqwXAjIOA/eFRBxMqXWmyJUUHRoTHoKeC4wQxjrJLprHXBxqrWD1iQUkHIk2EektR1QQXkdbAuMXPBGMGn9VgMV8EPeghVmupXwQ6QUPmeomhBMva3qX7hUkFwHc87l/dSwY47ILq4/F1BbcyulT+vaUGIKZUb0fJnwZSPwE7yDTdBA1w54PcbasHaGlgrtfSAQXJbsxkBfV7BBkulVPegVkGwfOi5Jy5WwchRj6EQM3nBKrZ/1w/BfsFOOFjQDf1QQRBt9c3kCjPB5otRKWkxZUEKdg9jm+1TQddeAIIq/T1B4v9HsC2wcEEF7h4m/0R0Qen/sCziHWZBz0aIEi10ckEM9aZUe6FOQRwZyHZBgUDBKvnxJdwnNkH29DzuQ0ppwcTDEhy93VnB97Oo/eu4SkFRvcohoF1YQRZchLYaFFdBKmDxHv3sZsH0rF/bpiVNwbi/EY8xr2lBrDfmHbKYYkHa0Wrq6CW0wUIGzM3K3lrBssGnbP/HMkHCFEjS/IpCQamZnFx0NT7BAF93aPsbWUHSEzRv3aVdQX+74LwdVXPBz6BjYvTneUG0OrnbeH9bQdPrisnY9IHBRjK3O0vzUcFOK8JcI/kuQUolwEnXuYTBBGjcXCl+cMHWk1f0kv5vQQAFblkBozhB+jXpPDikVUFRsqDwL+BhQVhKy9PeoYTBjCzeiu0DYEFJT3RM/gwgwUwXYuc4l09BZrjM776tQ0HyLHvf9k03wRjy1X+iAWRBBFG2MHBpAUHatw2LSYtHQUD5z/TixjxB9FNdynP9W8EoUGnen3TDwcHamdOfuUFB2s31MUL6Y0FvhGbaGKmrQbDkakYWR0RB0QUGDJoaasFranV61QKLwSmn5FhqWiNBkbXqzvs6hMEG6V2lbrtiQdwsu2BIWJtBSPOyiUJOSUGQkf9bcYwyQdJgIVfqhVJB67aNkyJhO0Fs0OXaycF8waLJ1mCtQVFBQgvXgg99ZEGTRGIPQEF+QSx8TIL+N5FBTuBy+VLZSsGmfSX+eud9QSrwzKGCGGXBQVrErsAuNEFnV3Rq4hBQQbeUaoJ8rWHBWseiYtRnP0GzSd+yY0NjQViNnMwbJFxBGi+opAXpIcFsKi/gR6E1QQoLj4QwfylBwHJYQc4/K8EAstGwSShSQRxcFmIMFJrB1fmQXzEKK0GRVrtW3VthQcLneYXfZ4dByv1ugtijX0Gw5FvxLW5gQXEI3lcQXkdBLe/Sa2tWVMFs6rxloAlXQS6Ol+MfhIdBFrw/mFyFckF9IwN0zuppQaSzNUziGWRBaPMJ+ccVhUESo8OT+9pUQZ3vAJPcxsHBpI/XU5yXf8HwFNHMsLCCQZKaAWuI+5/B6rWvFnGiEEGNyrOw051AwQQwxjC60VLBpYM6Noy6W0EhQEGBr34mwdqPH/0HUkRB8h+DBj20kMFznEG+Nmk4QYP+tmD7Hm7Bj0xweHQtU0F19i74PHthQYM6oXyZnWrBPN+h9+kBdMHPK/IaUrZ1QdugKxShbhNBXEvmzctRIMF9Uq1QP6dCwdje9zY5ukNBO42sNbJsbMFl9VmO/DqTQdrvCPKk5HBBnW0kfotjWkFX7G17Yb1FQdSRHpJOiCzB6sFNb9XidEHZCjEugoRRQcZ3PLIV3IJBltbyZkNia0FUza1lxEFwQWXoj3Qoq1RBPFHDkisKQEGiO7ZJfZlSQfR/nKujTErBuJ6uU3AtKUHWiyKxgEuMQQ2BMgL9jnfB+G+6LCtzdcF6cr4TNGltwcZAlHvTczxBjBWiyRezYEEXeChbGlMVwUITAAtqIYBB5L0yt4PrVsHlhuZh4xxEQV7qxrx8XZxBbBWnopc+ZUEnf5Vs5niCQb6khpfzp2FBDM4AXwIQi8Gl3RgwTow6wZKTvbaTVlFBsHbB9VbuSkFRgAaThgJRQSM7jXJQ0lJBDHVInk/+g0Hi6fs0ACphQexFBM8aVjJBLX7uQtTVMUF740sLu5hJQb6cj351/2dB9ZuOuZ91QUGL2K1ICLViQdICaAk3WCdB+BSvv1+tCkH8nyJiyh5SQSqz8KfO/FBB6iqsTI8AOsGXdFkRMDKTwU0QmCS/9lBBCS0tCnuUckGIm1D1gbjwwYvCPAV9LXdB0lpkbr+ETEEgOsw1oi5HQXa+2MGwnIJBdwzqXORtUMEW12CXlLeQwVBp2Vpb+2ZB1jE7Scx8gkG0ps28Kns0QY0+lm+4MWDBwfh2WcrhQUEi3Dkqw7ZDQY3csAo1RmdBV3vW0YL5ckH0wCukaiRfQZ4VZBe4eVtBOoW58XV2kMGJGKesdzVDQeNjMxAaSVJBzKJGPyyYYkEOv2yz6u8yQZYCO06yj2xBjSQFs6mUn8GQs9MQle5cQRN/j6/cOlNBCoyebL3/s0Fy/8TyKWZrwU5xX164NWBBQwk8FF9kRUFALzTlByYmwSLUfGjLrllBxFyHcbvVb0EYg6TaxKo4QSfwVpjHrEpB0nTl8G9raEEJDZ029fhmQXzr8xuIdJJBIYRtUyCmQUE6GhohmpBlwSf6Pc711bVB1v55iQUZeMEIVy0Z+akiwXDOqtA7J3BBQlVq0LKOckHYyqPookVpQXCnCzKeaTXBJzYPFEfiZ8E80UdpMQwpwV4igcrnakxBkjT521QtiUEQxlFM6j3qQGPENU6byShBlpk83GGrZEF9SrrxkNlSQfAzQElb3X9BDD5aw5VwKcG+7zlN32VGwZpiklEfjHNBYPWWvyx3bMFTcQeNsZhHQab1CfhUJlBBXirc40TNR8FzvSO4/kBJwcrRdO8FtURBVG/ll9+rXUGsqLV1CF5LQXyo/kKWMmXB2emMvS3AT8HkjXwnOZIjQUAbLCJshjtBhISsRiA/fcEMtiqBf+etQXc5w8OMj2JBqGHNyhRIXkF8awesRK5TQa6T/Qgb2BhBti9v34yNfcHYopFhj5Z0QUaqc4LcDX/BS/R0y4XFZ0HeW4YC2e91weau3QD0oUpBiOTvVI2XS8EunLns0VpWQcD33pugoltBuDCSKX6hTUEeF9U+qpGDQTQ8vgaXullBZN5C5oQ0eMG4o9Zcli9uwcKqgbPKimvBs2BKTUrEQEFv1+jCUCg+QcIeTtNkx2dBE3xbFRoAJcGO3fajlT89QWSEMdcUk3pBlBlv6r0uREFHuaf8OFQTwTriGqOkvkxBCjsNsTNeOEE+e9zixuw7QaN0EokTzUxBh7zatoCOWMHOKaQlKdBiQRgV5FoKp9HBXszpKiQacEFGFnXqn5SYwajW9hd3i0VBrDyuOLv3VkFkAuUQUNxTwQGZddmgs0hBSn6itd95W0FERkP5479BQabBa1asVlJBIa1C+1lDQ0EBf6QUyJpeQTdc4LMEfVHBvlyiU5FBZ0HTm+n0NMpZQVvXMs9EAWdBIg3egAlgdEGQu5HOm+swQei5Y1SiCERBRW4Lr9kaV0HLmodhPhp5waaTEmP8uRRBg67kDHrmWkHF6debopqYQTL9RkaAysBBVEEkEH4tDMHZ5cmyhyBFwUAeh+NeLXDBhBri+x6IhEHLwuiw+ZRMQTLRkQn0QGRB5ADi7NRqskF8iEv11sRFwbuBpZ3/c0dBa83sDhDLREF8t2poGqF0QXPZoL2VF1FBFgPxbFccj0Ed9uzJ54lSQYbk5qcLL5VBgCvFAa6VkcFKdyxhym0HQR46MA3EXsZBNK5l4Ml8VUHoqEMVbmpPwWSuf1bYTjrB2w0WDE39hMFR0KIin2lrQcdHcmpVgzBBqrlHWH8hUkHw2QJVF+XjQZK7rBn0cFFBY3j+23u0QEHdLq9bGxZswS6mHIyda2FBtqwkPkMYMEF8E028vZ9gQSraMcb4plJB1qqAT1v6T8Fl09CF+0JcQWgCgTRDSHBBwbn2U+a7j0EXLxfkoQJrwTXqOHOwOlRBKRrZYfspW0HCQDdi7IdRQZJZS2a+UFJBSsBF36wiWkFPIDgBwH48QRDFb68HN3PBhFGnG/2yjsH6CwRjBIB1QVyO96m9aGBBYvcPIiR2p8Hy8oG3qAxjQejrW3bu7GBBKKA0wleTo8FxPZDjUZNTQRkEn5GM4WtBdbIWex9JXkEw5/FWkwhqQXt5xdH6p3pBzSybMzvlcEEqrQWPTT5iQViyDkgBjPHAml3XZxlKYEFP7oOCNH1UQazJuZg6KRlBeF6dLm6gLkGM1nkox5loQdhTA8ubnWHBE1bm1j/hM0HjsTDgTx8RwURqLQJ6/2PBMtzvFbMPDMFL14hAi4RPQbCinifLcj1Bn95deCoZiUGvY0Q0qe5MQYb3sgk1SIHB7tzKQfppmsEdFwQigby1QWWZcjD1dHXBb4/MiEwERkEaJvqy6wtLQQL+85LwES5Bo9Md15NWdsFwGmFmY/CRQR5niZWctkLBWt+04O3geMG1g+6/ZzxRwQzuX4ULTDJBzys6PxGnW0HSkUj2tRSBQWGTG05ToXdB58EcCcpAgUHQmiFeyxJLwVbXyPCzNktBqgtB6OsoYUE5/D8V3l9XwUoMBXuBucRBg9wgP+jgYkFcEc162LVgQcaimHGsL6JBGI8Z6IDvUkEursz9eMNbQeYhjPcDxhhBxN/osiZ+ZUEbYvOCX9oxwfGaR6DdnzJBfvFdyX8Yx0Ff5wvA0mRiQQvkX6fmY1tBzwomL7uvYkEuuahDkgpLQQr+t0YnknRBWwLeEprtRkHKgAc7i3VtQZkqS1CYibXBopxpVTjxYkEMU4xhISq/QcJR50acuINB4UntBx2IQsEEy93WOj6JQcRe5/re0llBm9efbkySUkE/dM6AKfFjwTBXUBXREVFBlIlnGlnJssGAzfvHM9kDQVCWP6xOIUDBEUekzXU3P0GWosK4nh1hQWRcFGuxWy/BdggE8lvWc0Emn+A32a1pQThvv9ltn1VBVTW0IyPQS8HCH6nOdAxHQd4F6z1o8jhBrVtn1QKsoEFnJKIV+0ZUQTSmreuPoVdBdSDe5RmDocGU9AkD/3pQwVItZf6GhUZBKFaxsVMleEGgJetqATshwZ5a+v0Qp2JBvF92VXyYSUFfBYWK3iA1QWJwNOSqrfrADv7lvXwYRcHhtlRts0FHQVk1/Kdfu3jBqOWkCTrbg0GZiv2X8RtawRT7vEx+UHBBsCEgLaCIbkHjAc/MAXZgQY0lR/YDU4bBBiCkP3oZSkGiIZzY2xd3QaouOsa8rUdBYPaLuqrMNUGqDkFlz9B8QV5a6wKFgT9BChehXm2CUMFJ+YWcT7wyQXV7vuo69GDBDMFD3y1KVUEwebfi1IRXQY6Dq65LVVRBRvTaMgRpFMG4YDyGBsEMwRIM3J+STkJB3586fm18ZkESSwYi7taGQaAPyq8VuYVBtN5NV/bii8E7/zGX0gJRQTpvCezIUoPBLokVzWnLVMHjdEEd6EhHwXxAGmAbNWjBLQlqZ3PIYMGdBIYwmhh3wZbAn03W7k5BLhHLOK+/YcGk2xEWmHtTQS5DMFpGSDJBZFk+yW5VXEHU3aPex0xbwTdZDHzRHIFBqirKuQJHOEFZOPQx4v+oQRZuArgsAYZBtwhSOawLd0E4LLwFC0Q9QeW3wlps3KXBAAUZ9dbyUkFsVLVs7NH3QA2l2pMsmknBJu/p+uqChsE63vX0FPlUwaPoUhkYpGpBQovo0MsWasFCil/WZ+qbQWjHhxjuvabBP3ZwoAgvR0HSOJSGxIp4QdE/0DJ7k4DBZj3XJKPIQkEgwvwwcqFowbi6eLIUCk7BQlKcqeAsSEGiggx7AEaIQfLLFb5cbH5BBOm/pvD8aEGd99Pq4311we6qjyjAD1DB6PwnRc0iYkF64SrxqVI7wTF8YLrdI05BnNwOkipCh8GWmpCHSeDLQYmzxntvcyZBobJhtTUVgMEiKL7yrFp1wS8ktRoTJ2FBRuyHjn7+BEFUQn6i53lLQTrFwg4KAl5BgibEEpGwqEFr/CaA1chWQSYH6Up2mJBB9rwEvOs+SUEU/+CJoUVJQQwS+KEHCFbBsAncRr7OV8FTeHUrgk1/QVQn2st6PTFB6ZNiB2axjEEKljHWp/hmQZb3G8yp50DBFR+d8jvylcGrRiyo5UpbQUamUJlnSVpBwjBgq24OMEGx5iEOIt+LQV1MfJHmelpB/ZqPSP5SI0G4ERgUSL1jweEeo5VMzSRB3q0LyvPJ5UHb7QkZbENmQUbnEmQ5KVfBfqfp6FX5YUHMfIpuvq1nQfvAWgsVXlFBoABeMXB5h0GY6/QJ2BBKQazsulyLvVFBr3hrms8nT8GmHCF7l4pgQcpATVpsf1TBVB5w5WlzYcFqh8UgCUWDwcqzxbpD2T9BrqEpPUXfUEH8LE46bxNWQay4SYCvrD7BFBYsV/FLJkGh2YM8B1BQQWpF2pCOM1VBonM0pYZwtEGiTJI+FWmSwb19UZGBRE1BHm08zrNnecGmJuHa7WhtQX7a384FBVTB1bJYMeblu8HuXhA9dQ1LQYtFPZIjfqNBGvc9oMKWhEHvj40VtsQ/QdgY+do+JFzBSwuyJXCVVUFTgW6ijDFfwe0+c/JFMGBB1oWCm0AydMHtqdRGGrBQQZ8olZGP41XBEJOa/leFi0GciZZ6f9Zywbn8k6yDyzBBdhMi/bT9XUEsvVDhdIUkQeSRxM3UrZbBssGUUS90VEHNhFMXmECaQSqrtV8gj2hB99iSix6Ka0FTkn/rQOZQwSwlAyX3+mNBA97AG3vGiUFCKk/xVCNyQSCUjvEbOwtBuBSR4gOIRcFbOF6A1sE+Qe5mAt3jNWpBygUTjvb3MEHYSAG+yv9XQTpGWV4p5l5BuDDXRAPPukFfjwfkuDdTQdwx+8fVKHBB1ImNtxrDQ0HeKSL5rHaJwe+/VpHptSvBQHEqpi7oEMEsPznvjSU/QRnaJaYyMkfB3CwtwiCAm8FkDY0bZktiQdEw0Y6Tj1JB+vGUUAHJP0FKoGKDVfiXQX0ae9vGFU1B8uTb+6MdkEE0kQvYtx9mQdjTueObqz5BQgYivu8UM8HEHsTeCShiQdl84JnpAVJBriYxivsxacG8Suvc8nNwQQ0RBd8MnYBBbLKNnTHBVUGmGb92VDkDwRSf/0ZdpENBNDLp45EaQ0F2RwkklvRnwXo3npbAbE9BlgODMhZceMEZ/uagJIstwWGk30vAo29BYPsdtMqsB0H2VAoHW7NxwSDkAAGYB4hBNP7Ewa0yWEF6HliSqWhpwQemSoU0F4xBqMqMEqpLZkEckvChRP1XQaTx6TL1VEFBPuXAoc92M0Hh5Qth7/dfQUoYBwRnY11B8G+Tb69dosGK//T704chQdVHlixBG2jBjid4Y5bFYEEp99DNiiRrwSLxM6E6gJBBXNgEwD3kUEF6Wnw5ShSUwW6FBXbp7XbBOsTEpmzKlcF0yG/RLC5rQaJh6KEGfm1Bb5XPx4zxZkH5Ez+7ac+dwTon1BlFw1hB4AopoJe5UUEKYqKXS65SQaXIRt1WkEtBtUgR2i6RU0GmdH0Rsbt/wSYizHC+zHjB6tx5gLsuSUGGhP3QPbN+Qdv67Dl2fVtBfJuaJ9T7YsGOA8cZNpV8QTQymBKkmlJB4IkOrArUekGBRwN79dZVwedK2BxCkErBCVBXbNL+ZUHUb/46TLVqQcip2YAhbmFBlmwlMioFIEEzthu2WiG6wa0KAHccw1vBfg4RdzVuekHIekxJ5thsQRa6LFAInzHBT02Qw0RmTkFDby+dro9eQUW+8bQ+RTlBVDKyftjRYsEQEYOYlVhFQU7exCg9183BDi0COutHZUEwIbeYI4E+wVQEMIFBMElB+p4bJ50iT0EcJ/Bo6K1PQZYnEVjX6AVBsM0h4/B3kcFA3HJ0SdU5QSDocCNIc2RBqSsSPm6IjsHRBPHdCVeCwRR0u9vceX9BjoI1mFPpf0HArfTOQGhRQf/uPzcLjFRBawsBtss5JME0LU2KdIabwf4O1GjCpixBohhQBUnXQEE061vqKEeTwZ4/tR9KNWFBmZZxKghnY0EoTBtxLxRPQTao4/eLY0VBIhvL91T2VUHGsY9pTcxxwXYU58mLwGBBUO2glLx9XUH8mU117jm2wRinbbZNScJAP5G+CGb3Q0ENwLUm6vukQeDKR/aWVXPBHFMgN0GvfsGGXcGC2SdlQfZ3sh/VDyFBPv5AR4WMW0HKgJTycfhQQYtc6bZ6qVRBknlC1FgLXUGUiT7c0MNMQRj5Ss1cyVFBP0l5Q1QJUEE13Sw8dSfwQWrttWGKoZJBabSaH8+aNEHBH0dbzAo4QURKW5ZNyUlB3hHNfvlEekG8wZ/P7LrwQAqX0K75tGtBriex9qPhTUHKDDUCmlk3QYRqmmg8fKVBAHgc7UhHIkFdFLhG5vFnwWkbL0YfVk5BbXhGC8/TTEG0wN15DIJLwcLUByFdt1FBYkCKhcPEV0Hc08o+A9RpQcgkf9L5jLrBiuIUrqkaY8EgUOfoLUEywVFj66nLYmNBBjI6Gma7WkE4oosJtChjwUQTROiJYlHBjaSXAg44IkH1lXTqjBdwwd8e7lhaF3PBDCMQWhzBXEHgwD9J4FvvwD4BWakZ9lHBVc9JJ/zrZsERt5eTphNuQULFxJYv2WBBMm5Z4A8tScHgS15rDpaQQbM9A/Dt5UJB7WOkBMauc0G/xnC+26xJQVYxPjQzz7XBM2VyZ4nRYkFeG7a4mYIiQZ9HfEUMZqDBwK36oGceb0HEomeWBK8kQcHCQKsinzJBfsKxODdAKkEeH0sqsAJzwZk5WjMWgGTBCOt/db5LMEGRUVlL9Y9JQZALt6+QckRB5qcSq9QuR0HcdVk/LPh2wf4CboNKR4fBNKKu6iOqe8GD6DK7AgZ9wf3dL3ZI3WpB90BJKrhs0EFza7kXaf+ZwdZ0KfDGqFFBLBxksLm/c8FzPpPW6BZXwZwAC+T3n3bBpBT5YTVhYUHmafuTB8tmQSRqRJxsAoLBaOJALKUbT0F9qGCGIY9jwTKU35Bo4nJB5MhFbQRHwMES9Kqicax/wdqUmJJCsQHBDKWga03noUFBfl4YdDU+QYQ73V6LaGLB4oVS1gm7ZUFg7aOjT9hLQa9C/kUg+KVBp/LzD048+MCkxsLei703wZsRPM3InkLB22NUq2uescEfrIfMrzllQV9vaz+BqWBB6j15PzyvE8FNxNFf+Oyrwe0d3XM+0TFBFBSDd0QYx0F42zwkSzVlQe4eUr8SsXvBYUZbn/cXasGdb+4/0W5GQSkRHKnfKGDBQPCuMIOzo8FmleGLAUBzwRiO2nHT3ZjBHtlX5cGTcME4S6gOStdcQRwqMkJuDWdB8ViEJZkQWcHevl8CSoZXwQGwM+YoXLHBnn6fXwGEvsECmNR1f5BGQZ7/FjAoF2PByOsFsLimhUE+pcx6Wpl0wX5FsCLgc3JBsZc2lIetWEGkfWlnUjVSQYpZgdDUW+HBlAuDg6y/rUHSmIkdbbRgwf+KuwsF+VVBicH2DwK7hEGPg4j6gSRiQZtU2U5GeKxBHZQpqhG0kEEpw4sgNBBGQaSL76wWyW1BO3SCYxzGWEE8cTHfreydQcJVUbUIGjpBW6iKJGQ7YEG9pp8BYfpTwZMuhDwuRXZBXcLOzzxfakFrePCC6cF0QY44bnhA+YNB9jQSr3fIYUFUFuO3tCB5wQrSMlznQF5BndKo22OTU0EqqfNaK3lVwSJ2xEzsxyrB7Da+lsuZHcGcbds+oVlBQX/biC8828JBFPSxnjjKXEE0r3YTv2Q1wSPyWU4a7G5Bdwk78rP/YUFh50nF5y+zwSufSHB3CEvB2FUIp8PEUUFViNG3uw4HwRRNa67McjtBIRTWc7QTlMHo2/8jZbGEQen5GDwcGExBe+P/XKypgEGWtbksrAR5QejMA/wg5j1Bquk/6lYBOkGqTzMcu56BQejv+VRu9UhBrwiKLOI4PMEzXf6ViT02QdYKFoWhN2ZBOTt4GjBUUMGhPfApugdkQYoVLGeH1yrBOsQ4GDmwWEF6u3dexp5OQZ01X6WosWNBFau7K2xqpcFElKh+rOZkQUhGSeWAcoFB/uB5h0gybcFUc0w46icJQRZfJJoY7idB9IizIEYiZ0E67HeDsfdYQYEhkY8w21tBfbh/2Vn3U0HI+kYtB0lpwbLiMB8fbVZBqupXC9seckEeWFJaMKxbQYPbGtaZiHlBE15Td5ykN0E7GKsYycYrwZrtVxdIiVpBeL1er/GQOkE7yZ3Km+NbQYH87CFinlZBxjhxL+QKZkHEFlZK3XXiwChVNGusHWBBEoq32cVgYUEHK5JfqL1hwSgOtYTsFIRBgoNO6tVocEFyhvO/edMGQZji6sqDx3nB1ywuge2lXEFhOub/wxeYwUgP+fapqwBBNB8OYzXDOcEpnUntn3VAQariUIcqDXPBocINKZGEVkFEhMJEHzuEQQ9pfXolLFNB9rc8Pbr8akFtUbwIMyaKQUeFqCx/OX5B7PqIAWYrk0GMYBKwTwdWQZr20qy41aHBtwquhG3+aEGKKruwwY01QbQe3sxQlltBVmd0Fq7IVUFwiQEwGmJbQTQLnMnIkGNBBTRPwMAdgkF9k+CCXBFVwVjhrjqnGFXBPYKKclnWRUFR9IvBd+OCwUj+y4O80+hAnnPFvjANVkHF0LMvZt5xQW4XFccl5XjB35m5iDibHMHEu0Vz8AirQYBnNgE9fVlBMg0Cd4MfOUHLFgighxhtQalENY0SqYhBGuGerFbAusGpB+LK9IWAQbVzFeVDsEVBAfEPrVZNWkGxhOJN6zyDwd6YGN3ddnRBYgAVUAwstUGBA7M3YzpdQTO5nEA3X2BB2m484I3RVsEeoOOmW8ppwSCbj2Q2iznB+gasr5ahYEEq0LDORsNXwRoKggsy4UlB2KqQRn8OLMF5KdBYgW+VwU7INbj5a0JBrTONmfeabkH0FAZLsJZRQYOqlKWfpmVBVHNy3N57XkGJVRl17dFCQR0cq7LyQpDBuU0LFWMQIkEgCON+MFo0Qayan26CFm1BCn8rshAeSUGAz/NNsvFeQeRKX9gLjGlBtJNqps8CTEHvNYTkw9plQdEd3varEcXBpaWyqsz+dEGjdx6E5U8hweRFCjxhDFRBVcAfC2gFUsGwAUPG0rNuQeLrHNVQqppBJ8pL3wQCQMEj4x7B2YNGwf/QsNgJ213B4qe8dlMznkE78V7eTSeOQXch4MntDhtB/O10iU2zRUHHLcl/8qqNQSzwutdahltBEL2M3CSkhcEqS3+EmLd6wUtaTJhf8FTBuaC+2kCGXUG22uJxPTWIQQAWN0eBZWbBYFkYUWLzPUFLi9sU4PltwfjWOx3mHhfBs+Z1/Yp6XEHe2WWcSgx0QWiaLsUmMXdBTis0l1DCZMGH8xeYdzR9QRjucvB7gzRBvoBeWHe7ZMGLWSTd7p55wRrOfq0VUzxBwEG+oB0aPEFSsgMGvPxLQVd+Z0n8MxrBqmpL9rBaW0EVcPo/koRGwUkH1RTgUEzBlwVqNPcLfUFmCc+KrDlXQcCJxUixp8tBv8MhkKYuk0FsZuDCmjNiQRJ0fMoRGGNBe5kUVKYlVsFOyu2VsWdHQa2w+s8gAzpBfoYcPWX4c0FODtWeERZbweqtmPoijVBB6ogqIyO+ksFQFkdmreI8Qe8bDORnbRpB1kfRxyd+WEEw4qKT9i3EQMp8Z/NalSfBIKshGzuuVkHQvIwMCKFIwWNbTJv4Hk5BaRkafVirYMGGdaYkuRRuQRoBNLv4lHVBYAKT6M9ZhEERW87y9LdJQajE3voQ7E3BBixlpvavTkGAjgUMZXwWQcNRjOG4+mZBtYNb+oOlUMG2nopY/99HQTBWufEg33hB+fNWIqwpckEVXl196JaNQauZuj8mmUZBXCcGIslMRsFS/CD/pjU/QUblPI5bqUxBSIv9aJo1YkEzWMgHC76JQaHA7NE5OYFBABYAJB4MeUGCZkb4DQRbwf+w9qAOC2lB8pv4/YLPfUHX2dDSZjJ8wSXkVbOeQW5BOaI1ur6BlsE4p2p3fK02QRY+9J/kLPPA+tWIYdsSh0GxfOvdOiBQweGldk8BzU/BHNh9smqkcsHIyzNinJSSwQxRZr6xgpjBhtpTn/seSEEnUFyh77hUQc47fhjzgkhB8zI7UW7XZ0Godre7mMdHQbekt6FUm1hBJQaYI719Z0GUG9tpJjZPQV6ewJZx0oRBOh+zo/XDGsGKIDQGC2ViQaj3YRdpPE/B1MCibi4/W8Gh9KlQs/ZKQea16pe/emFBFFkhKtv2QcFqGtcMQ4xUQdYrmmyyi0rBWXijqs/sVUE8fDRSVZNewVNlHLfBfENB9RWcxcTlhMGKe+BAlZOWQXoZz2QHPUFB98Wx2ihWa0HkyCaHWvZ1QSMjH0LT/E5BCrKPiF+NU0HWD7H1cZFCQWxmyMXt41ZBUEZQwtL3g0Eq8CGYEoxQwY/LwQsyFFtBJtnks8nth0EI4V3OMjZ8QYcy3Oa5d3FBIihIY15EfEHXHiDaF/1RwXYM35aTUXXBx6pnASLOGEF6IR97nCiOwQBDoVQ6bVZBHt0KNyKgJEHwAiZhKBhPQabgqU/l9FXBdITYmFhPkEGWXr3mOB54QcbDKh9r+1bBPg+8tFohV0EITtZmi49VQYNX6OR72DdB13AFgbUNhUEEOItNVqx+QcyCupCmECVBbV5+oEKVREFrfxdweG1nQXBlTNxJ+0TBLuz27k+yTcEsxh5HBpS+wRvVvEXnl1BBjNZeonQBgsHGbVPwijGAwTQ/qKTn91FBkhLvv8fVRUGaeaClxFhiQWxhFJVbgILBYKGDOO47ycCpsFu3/KEaQb2N1XF8909BjnKOGFxnc8FdIq7aIB05wdLirmiq06DBlENUkMTWI0ElXjZqpmdUwZX/bjjasV3BNjn4vlxNd8HsnreOI+ZTQeDHeBMSqFFBBEbEDXT+McFHo9uYCiJxwdh4Lc5w/HlBkcd646nQxsH8rGJZx6iHQeD6Mi+kTTVB1FPjey97dUGSyAMrjXN5wRChBlH6jTvBpvJswLRdSUFPO/z9LEd5QRHtnbe4QV9BiY9fJ/hbdEHgxZqntlmLwYGJB7JpyFDBiqv3pSPEl8Ei/GdhhppbQaexITfRGl1BQn7wf4tpQEHMYEH3Y109QeRT3/WdI19BYrQ/WsE0dEHGNDdp8phSQThVC3kh74hBsjpspAq3QsHENR2wN+pzQdiPutVSGWVBghYZoziqUkGU697CaptLQccCDnkacZVBHK2TE48JgUHaABGt91JxQVo9CDo3qTJBksPsGwS1JkH6PH66FMxOQSRel1Y+hlFBKe+K82vMXEGC82xn13QOwRXi+vdJJjxBNvlKGv0chEGUMMhp4AGaQfIHRgefBU5BEnEp529hUEFk126y6nI4Qcl/FM4dwJ7BQDPXuBLFS0EitiqxkbZBQYTj/tG8umVB6Qh1Ss0+gUEQuUqSvdtJQVi93y5NRY3BTaYv8+APSUGgjvRHqyd1wUNG66iIiFxBDB1DRq3/JcGUQvG7h2VwwZyRkvw5/zxBOpYmuA/Kb8Gv+RhLiEZ8QereZRHexpFBTImE2ZkYaEGj3Ak4/rFQQZBDfYxz5czBHGrGcf22ZcEGKby1lFlLQdQe81WhUl5B9urUr6v7REGjY1/UFDYtwf6Nh8SMPYpB9lMYKB+QWEFWt0kH2XZVQXgKApz9yyDBsGtR1VtpaMFwheigtnFUQaJ9ajt7IGlB8LVYzpk8aUHRVUN0iiNqwfaOSmLYNTdBLqFA38uGOEFbd1ZN0xtWQc1c5lwgthfBURwUH0cWdUHE89G0ntFsQTEWzwS1EaTBULerCXoZk0GU22BfZS5Jwdr+836I0ZxBDdKWrpH0T0G7/eLc5/ODQVzc9ekLTlZBQk0tmIufQUGEmAIaQn91QcR81+SMsUBBgjsRrjw8JUEydL4ajdtJQUhjFQfPe21B1tYNpZnaSMHNGzrG4X2dwSJWdemDD4LBo1jWpqoLWEFq3qAwSb9KwXYxiPOPNGRBTDXa90XoUUGBJb3qlJZIwUIS1jkUT5PBhJz7AsRowEH5SegTxC9RQZ19AnOf9VNB6lUw7pDiekGMz7f8xftrwajBkPNT1mVB2aI2KdTPWUF+RXZCSWVfwWlDNjedeD5BODm5A41VjUEkReLM4w9wQQ/9rGWq2ExBPsuVWy/lgUFW2byeFP1OQSjKCQzkz+FADIgHwa78sUF8YwjrjS50QRLRTZ8CckdB5mT280LIgkEwbqvZOilXQQDEyI2mClNBntzLYGLNXsHj6LRgdOtBwRiqV/H/5k5ByGFmVdpEfsGzwwqWC+5AwaRBlNWXDIVBrtp/VWBfuMFcM3CbNZRYQTN8TrK0CHJB76UCjWGwTEGaZvj1uNpUQcaP4t9qSGJBxkH+Gh1uU8HG91XnkBtqwTM85Y0SoivB3v3QyNTEj8Ee80HrHwVXwX+O9GSnPmJB3w3LA3ewQEHHqSwuuitiQVgmPLWhVldBIap03fK/UkE+RDSr9elXQVySbJdi7lFBTZm2hsYxUkEYYEfz4hOVwTNPWwG4Sn9BYSvMStxHUUHOl49369k3QYaPubFiUXbBglFVGEwTlcHeT6dK2prUwZOY531tpVVBUKdGLnGHg8HV3ZwM4L67Qb6POndtTUHBZnKEYEwtQEGJhbuZvtNhQbqefzJwIoBBormORd7PYkH6e437NwlOwRCjMfGb8kvBDd2md0olS0Fstnj76qRVQdYH+myiwXxB1fVx47X+jsGyqf4x3ZlWwYLFcfCpNrtBUmULcHDfNcGinjNkKWxHwcWJ/jgUW3FBxuOV6fN0X0Gs/2jgYB5gQeHW8NLzdi/BhMzQlSeJUcHo3lm85CRyQczNETVHLJZB02jaOnddc8FVazXOn0psQSkvboKZMV1BVKZNwZ4JZEGsq2brHuRAQUJ5m0hmpmpBTrNDeYR8U0G0EmxC6VZGQU4KnvAFv0pBhAnLFu9OUUGc5g7nLgxCQfygUL3HeobBmK+HKbp9ScEsScLHvR2FQcHL15ZP3EHB9HJucWPTSEHKKUzQqfOrQeLY/fFGbkJBsQzVJIBcZkFEbyHwWuRmQW/KlVU2HonBSfYM04LXQkEZMw+9EwCBQWogLyQ7oVRBVFwVTTElOEHRZu5tFbuLwZvyx64upIRB8OHYJC2wVEEAQ8FpE/CRQUlj/mjJcENBhjrLEMYaQEFLISMFlxJYQW1HwX5OlV5BbANh81lqSkHBcd4v49V7QQXmfBRmnl/BKiMTxyn6bcGWSGBxOypnQT2Gnt++tl5BKq2nLso+UUHofjTJy5JhQbY3yUNEE3NB1CmwWPmwRkFJQeLyTJSMQXSpnP2jJGNBZIh8DAKYZ0G/ENyUo2BdQWI5hqln7QlBagU72PmkYUEkjcXnRrI2wRRVJMZodl5BWqZoZchBXUEE7P3L3fJEQY/y4OD1DmBBTr7vY+lFRMHD/TIeB1VQwXAvmmbLCSxBZ1qSvGPsiUGjpNZzg4BZQfKSA5f35FjBssJ1s9kKV0GtqEpgfy9RQUbn/RhWxGjBKTagoxTUfUFwcV4BXIxjQRIa3cUfSUDBwKZkMx6zsUEIcEJD0BZowVJqcVzXQmpByg6fCPidcMH3xu2gOJpkQRSxzhb8/FVBAmI59B0eTEGB0hRONrypQawUv673iHBB+LeMoQf0gkFMMVkl9qx1QSAC3xLR1FZBfNk2zMLRasGlwjOVgsA7QYycIZTvU2vBJDs2s3F7JEHc1/kgC1FXQRzQO7LSiXVBAImLBBZNaMEPQM3X6jg3wTcRakYfG8BBZyXVIOWTmsFGLgEF4KNUwXVgttNGJadBkn9USToXh0H8fFjklXpLQZrAdzzZEXtBQEC4phCtikEHnw2j5TJlQXo4vuIOOkJBQOntBN0jYMHYlDIuCStgQSJqo3vR1RtBHnJAXeWpkEEt6GuRB1RYQTJuoUfAnUtBCot/fgdpOcFyFHvJfSNCwYzmkDka/pBBiH1F+Pu3ZcHomk0ubohlQb1LTVPMFojBtDAJeQ+iR0EiAhAEvaBgQWFRxyFFiJhBLG2e3na8W0EbetIfSlFKQQTPcLQkZkNBqtB4edjcaEFlbpkQvRZdQVal6hVPvjjBlmD5+Y7/TEFVsMn1YodSQZxKdQzSu2JB24Dch+CMZsFS4ijKD/ZGQfMVP1RZp5FBUacYnohackEYtp5O14xGwZV8LLDU3ytBlA1GER5jVkFFe4/wTxBCwaqOZzPu9GdBxafnZcciUEFRRiY2Do5YQYYqDvXlAEtBCY0e3z1Fg0E6lXKuNWeEQYv/l4GGwEdBcdUNbwl8ZcEVMdtVd8JcwdrT60b5t0HBpKmNGrYzd0GSIwl3MoBRQSQRuZd59VxBL6KXX610mkGYZZf0NI6EQfibqPXYa2BBE5EYryqsZUFAWXUgt7hYQepxRN4uHHpBtUCeF8t5bkEtaRsYIQYcwf+z3i6u02zBXg4+YlwFp0G2a+6CNV4vQZvwy++7EFFBl7NDaoGyS0FB3RmSwSJCQcITgheUt0VBxt+usyFmdUGluus/mV1eQZOEUKY6u2xBvk8Lj2kejEGUO8pP1TcpQQLncAM53k9BSCd1rf7GqkHMwrpr1buXQd4FA6UpjOvBOw0B1SNrV0HEbdEdYv1GQdYfNQusuE9BaWEUrah2LcF584y1G7bQwS5T6qRtJBfBNmyBA8gSNkENh2bYC49CQTzKddwYYWnBO1rR9ni0W0Ggcu+z6TnEwQ9nZ4QS7ktBS39SaK9xUEGiubwiiehQQepKuNj6D2lBBLZzh7riWkFXzUb7RUWJQaSK09xT8GFBJRAWH6G+N0HeMaDS5lFRQe7ClOiFtkZB0LJXnqItVUGzyq4RAO9pQXxsj4nwrlFBYnci+i9qa0GaIF9SE9pVQY6E1UACHVJBZS1GWguWZEHV9eag325KwTAqO90ghwVBVNuja/9kekGW9wO6N4sDwbGaRlMveVpBCP9kiKNrSUG+fadIc/lZQdPLxfsuRGPBHr1qIBDOZEFAZDi7aJ5KwZeDT/rUqnLBMJfLPWNLU8EjN+MEZKRaQS7Izk4NPWdB0IAV+s8aAsGRScY68qxrQfJi7yIRxDtBovlteok2VkGk3hiZOjSSwTKmWFPwhxRBA7eElMq7skFYXQHg0vaXQS9xPMNSsUhByi1SYU7VWkEhPc/fGxOUwQy396zpulBBITL8asRyPcHOVyV+n/xNQS5flN/n+klB9CeS59sxacEp0HhIqT5/wc5ZWUxaX4/BZCv/JL8sgsHeQcYjHrhXwSU2SfvYlk1BkFr7rxvKYMEP73SZeBtkwSVonoYLf3hBxqkQkluCWkH8xZKrKHJTwZI+F3MlJSBBUDOSdWV6R0GKY8qorhs9wSTBbJpnWLPBxvtyYxT8dUGiHoX4AqhSQThkbZeFtLRBwLzOLm3WWkFAypDhfDtoQflN+3EZsHJBylos49BeD8FgRVNG9A5gQVD9BXf5h0VB+8kk2G39ZcGuKWiN0aGPQeJK21Fok2FBtKYREnyIMsGnirUfxypRQWzR4//4vUvBZY1oMqRndEGmgqVNHrdvQQbKAIupcKhB5QorgCTeOkHaQr+jgAyjwevGp22ws6jBNqiVcLvbXEHE/cKD75U1QRKLrzzNHmBBQFnmJ56MRUF7IuGaW09AQcu9nEeDGpjBuuNGnk3i/8AUA//r+cZPQVHhk92Mnn5BeOD24MqZjEFCkTXz0RFgQaYdx/UValHBKYLkFst0YsEMq2zSGSZtQSAfzkBcJFJBH//WqZJ+UMF5lGH+xPWXQRR6as/0z2hBecPs4ZJyREHMl/tU4kc6QbNCs6+y7UNBoAsueg2rQ0E0PDGnoJOAwZPH6Fl4PmLBuImHXvUOTsFeuLJAMS9awXC4KWU7PUhBGLQ37OwwVUFEF8YvxL6LwY2np3BF2UFBXVsy12ADaMGPuIzPS2WMQSjY9lPaXFRBYuecNMxyU0Ga1APxqTuSQS+dO0YbHV5BlEiFWB8wJcGvCqObkkJVQb9M5Uti1ohBfQGhymEaYsF6bIOqcEt1QQBo/OHugoLBzF4hQWF7WEEiDHK2YHpDQbe9KNvb7FXB970t2TiqRUEN8iPJd8ZQQS0MaCkPQVxBCoCwijy5nMHy0bgsTNlCQXxJAHQGundBe5tazOxDZ0EXEIS+c3qKwRTatefP3kFBejx5lc5foMGGhHz5Iw5QQeZfjCNTgllBjTvCA5XqUEEBn5sCtE11QYCImaL/VVNBeqnzEn0JYcF9mgK2YUteQcyB8Sxh9pLBYibe0J//Q8Gq3XGKoFdLQbKmFv1h1avBHAeBMfMvSEGFOSwzzgCHQTi0PY9cRFlB9twhq6ZXXkH8EPuAeViGQRZNxGV+VlRBAougAfH0kUFNqZv+ieSFwaWEpY+qvlFBogzMTuFuDMFsagMFAityQYItXfJEH1RBFnI4U5/zXMGWgRBtfQjKwerhRfybO2jBbAcuDPPeUUHEMDUIQaKgwTaEswykrPvAAdIx777PY0HYOu98b4pMQTTSWYC48HFBF+ATzeyIXkHJ59OpuvZdQZ6xxgBwYmLBrrV4kPFzcUFeBzH3Skw9QamnnqPd+FxBmDA8Te0ZYkGKwVjC1FJRQdNtCl0Rt2dBcv/GYoWaYEGWmYWG55CNQSA2Mkqsy0VB6NMp9l7rYsHgfYitnpNfQYYTZrXEkoHBqZIlPYaIqMEUbb/ZFk54QcvOjx1vx5FBfZa8QdRuk0G4r7edRCZiQa5OLLksHXDBVMsSQQ1Yp0FIJDNJZctUQRhGrraFcljBuzv57/I4WEHRpxNgnEtpwVPvoH9zn2NBgkMZjoURckF8Q4fv8XdAQSZfW9qipGJBwC99muFUcUHqWewTEVFkQZjHifMhT0JBldP88ECiYkFSQu5H7ZkXQY/uG0l9P1tBVFCRMipgjUEUKKX9Y2jCwVfIX+276kVBRkcFZaRvV0GWoWOhget2wXtaF5KzvlNB4lo/U1InXkGLRpuQ0XFPQXpt/q3D6W1BdQAkWozeVEHyoHV1N4tRwZADwt4L6I5Bc6NGjIAcfsHKVKORGU44QVvEQ614PEBBeeCofEQJtUGg10UQG2BLQbjjtBecW1hBQsWinrl0VUH3XHWydedYQRO0+wQMFLrBJjWyCCLUWEFcHFzdxGdmwQqT0khN72pBBlsdzZu+gUEnAPhGGm9hQcmLRNAsPWbBYsPV0rfAQ0Hbw67pc9ppwdAoC8Ic7jBBKdba9Uegj8Hvk5kCKBo8QfiPp1E+LmZBhKhcGGkLXEEbmV+qhYB+wYBqICBF3R9BKRO4tQDTXUF53nVHIflLQZozLK8W22xBgsQ/J86+IkERraqgzPNTQSsNsG2R2mVBmhkn2UTvYEFPzswfcjg2QTiTRdQx4VtBuFpxma85VUGJpP2iXIBTQUf/ykCT4ijBzGXbXfgfVUHgcBAZOtJWQVTzoqlX5TRB+q3Sb+FbN0EvORHtOKJIQUbmSapGnXJBIkBWeyqGIEGuVIlmdNFgQRzAOblTNE9BoeTDlcEJgEESeaATvgSbQUvk1X2+wXZBQa0kOvPDYkHXfHMTKbRpQepobvvyaljBalazHq/6SEEPgG1pBepaQQYHdHIQslbBxW0MiNOtU8GarccA0qtBwXdOcIcHs0hBcsiF8NkiY0GYI+jA/lRhwd5G4DsVrohB/adIEqlzZEGcUG5//K9WQQBk7aHY647BmC1laTfmPEH94TQ1yPBUwSJoQZZeyItBoNKKeqjtakFOyNGwcZNdQW5mWFvdQlpBlluETUlDPEGE+iTI+N2PwX8wKAfEWUNBwjOJO0MrW0Fyds8irzlNQSacGsV6JEdBaTkT/f/GScHSaq32wHiCwaicf/MvV1JBmGQmq0IiUsEvjj2Yn0FgQdXEXH0AoFpBlIQUYTKlV0FcP3ltk0BUwVBZueCJx6fBtGZ1FL+aO0HqU6NMZ/ZJQeKdo4ii2ElB+9UFXleFckH6YvRMTAZsQeJV3mDtuUjBei2R+a9MZEEBxj81MvpxQbYKmQXu0C1Bq4Z32X4/WEGDiODJuiQdwbZMLvqEhnVBs7NbhEJmw8Fz6Q/E5Stowc/p5WgKZGTBNOOjVcmvcEEkvAv8f3pRQXCuE9XStkZBwuZ1b97wgcG3i+tCYVNmQYGHe0qpgIVBeWmJD2osV0FahzjEvV48QQrsNcu1T1NBarT7S5FvwMGmErfreF0mwXd9LwJ4sy9B6G1N5FvSMUEsbuHJdhz1QNpgJDX74xlB15FH/vu+msFkd11qCMhmQZrxdJcOOXhBuIpRi0DgYcFiBKr+YAJFQfWGSGM2Hc7BumyiNZZ6XUHmYHpHyH1hQUBNo94OhXVBW2noDZPwYUF/BIwzBAEoQae0f+hI8nbBi5RJIktfnkH9KbovrkExQaictsFpbFtBtZRPabhjM8HGXn5kqDFsQbnfcamQiZLB8HO7XtiHUkHUObOFDe40QVjskPu0clNBujEiVeAyEcHLSdiJGNekQRgnZ4sCa1nBtCFn3yAGZEGAn69w85qLwbLqCiAxl2PBIgPtPLDJTUFz/x63ISRWQa/kkzAfpU9BZwtzZv03K8Ghh8420uiFQZjzH63YRoVBzuWTfk7raEGj9+aYdco3wd8umpVhapDBYB9My4kAyMFzMAez0r5TQT6KVGUFXjBBf4KH4kfKMkFEIn5dHW6hQdLyGy5Zt19B7x+svt0LVEGCE3rNXjCTQUwSDiQEjoBBQCy35ALzYEGmIQk0EfttQayZ0x7na0RBeWiPWWczN0GwMQwQ70c/QQgXqMmimTdB7u2jIhjrPcEoOFxCdZbsQC55E59lmVfBFxPs0bS+fEHM3wdiIUd3QTwZ83eE0YvBgIb13tQG3MDEV3u7nl9uwUJMCdDSqIPBXkmgBdYSY0HUIcweUreBwceJnIQqSHFBnIKCMGyIVkFujOX4tVhUQWlo5MPfDV7BVHg4asNEZUHy51u7R6NJQa9Hi771wD9BO8+Vfjn7cEEaT3CEhAxYQfDcLsQYaVrBK/bMRgXFYkGY5ZxiW7h0QVOJ/VFhFjRBe6GCsJ8qQ8HKRwl2hep1QR2UE3TygELBY9LIL7g4jsG0nk06b9d8QUDNPyPWSBlBxL0rgoTfUkGQuVDUCNBpwfQfGHZWmHxBj5vnJu0SdEFn2Z7QVy41wYSOpoCSAmBBGZ73XVvvXEEVI4d6aAhDQb/pJbO5dVxBNinH/O5BS8Hmd+2+jCdRQei5YpYbOH3BhwVuXyc5Y0GUhpq1zpSswVddOyhBlFlBHXAm/t+nTsGqUkTMY11ZQSJoDs5GDU5Bg6LdgnBdTEH3AufO+lRxQTRlwiPfjXJBisNcl69gWMEgWAiMF75awRopmJ8eT6FBJvwR1NL0REGPbtm5M517QQ7uHUysnFfB8nus7w4EYEGrjCGseoFBQc5gApRhO2jBZFNuqVJWIMFTai+3qsdwwR3WeGTQ9FRB1c7NSVOYUsFyyRvvMnx8QVTfBNeDvzFBx9g36K2MaUFHZjbqU3ViQXYQVYpG+YJB2atW74cSXEF6IWef645WQQnWNFN6gT1BKG9lg5BGbUGC7Q4wvWZLQbhI0laEMUlBjmkawMtqZcFMeYnQBTliQaRl6iFx0qRBWNpyfOLsMEHql/bQwoaiwaZccNY4oXBBDsODJ5gbPUHUBu03GUY3QVC41TwJ8XrBUJYLTEkmW8G4KDORdpWlQZ5yl2FtG0NBSkmlNGK2gsHwi97p9VlAQal75MKqfl9BSzD8YwhgPUFsa0AzWixnQRhZ0paceYZBi3FnKg0uVEE8SJEyCxaXwfpJG927impBgqGW7s/Zs0Epvkp7TT+8QVFKfqABLoRBsOWYduHAR0HbDaxVH9EvQayu9q3Bp4bBUJ38Wr1nPUFmQgmy4OYkwebtAfxHZKvBsQCcCbxkXMGYvv5crxJJQbxGqWby+3DB/QWEyXocVcFQ/88mEjdkQRM8yxCcXldBgHUyM6+WGEFtMysxofdLQbQPt3c/HmdBNxpKgzTOgEGd9pogJJtxQeiAWyVuy1ZB7fz3DyXBZEFkLWJeX2B3QfLDdBj270VBH6lwwjaCVUH43CF72IdNQdy0xrz3ihjB8DIaaRXKWkHGRr4A95ZwwWTT4B/zz1FBphHDS5bjPEEaCs1IgZClwe4s0xwe5XBBy610yZdeYEGGMlNtvttDQawcWVrYdQhB+CcWeX7dkEGqMjTlxndAQSvP/KEilYBBdh76MWRKTEGtodRlZc5pwdkYhDySwcLBAmq/K4cITUEwYUFO16WkQU92pms5MlVByveCUgLhZcE+36qdN4hwQemoma9t1mtBLKrzEbWPcsGM5mEVA8WAQfq6/X3hmFVB2Vqua+CsKsE6W5t2ae1VQdIRc18kVWJBCxoGkZoEQkFMlyFp9dRQQUNjYevwRoNBIZnWt1BgcsF1i8CSy2FbQWQ7OJWLT7FBMRr8zlkVRMHysF3KjrJnwWQ3uCB2aYXBEkBNjFooRME9xI0bWK1zwS2Q7SNNeGNBlsmQrqMfqUFO1BsBd9GRwXDP5B66EEhBr+TuAbJnjUFiJfomCq1rQUS3PgTuqIPBpCXG5PmOJUFttkxAqpJQwZQXUGtlkh7BFZfJKoAaTkH9rhkIdXY6wdxuItkNM1RBeKPJJ1i8LkHzlThBO6uxwYZovXQOxTLBfzl3M5meQkFEXHfwP4FqQbwH+dr7vENBYAa2aIkEoMFd6RcXDPpgQcdakhsLIllBHcLAmwT7s0GUGK5HyM6KweqOxWAUinJBdLW4WfyTO0FrVBm8Tf/RQU47pnIyWYFBd9sx597wNkGNx/lLrGVlQbDayvUAelxBJhh6lM+TRcHVGQmX9+tGQcHR3a49YExBCmHKrwMAAMEXk3zVKLAqQRCmDQWifjxBOl4ebpxRBMG/80+rr2CUQaqp6FcfTlhBA1xk6QdpX0FUdCO/xoSkwQAfVBP7NUxBmJ6dgjPSSsGELMQBUcRYQUyaOoLwRjlBK5VjCGdDakH4CFIZN09XQcTwEEDMWlFBa++QA4uVMUGdvxf+l65CQag74FGIXWnBDuYkuzoYYEEqljbCFvwowYPSzY52v4BBdSJNjcBsc0EKY7Zn282RwdApZkl//U3BoUUPwB/GU0G9+wxI+PahwQZ1RrtB5klBLaCemMVqUsGa/V53TxNdQWo2/BVHyjdBDGxgzdF2b0HjkbEYj3FkwTjfGHSVAjdBp8rsNqq9XEFF+FQYCfCnwQft8rLpq5JB1KmCVNAeYcERtnNYd57YwWRO/2tQA1BB6jLnIwcdmsHWN5j9QalZQaqW3GdnQQ9BOwQIS5/rU0E5L4z6dih4QbeDfvQANTBBHKkmogWtQUGqhlPvxDxeQZ5139zjLWRBgG2sCWqQoUF8dirjTNA9QfA+qU09GzJBq6Ojn/xVdsE/akXq50BRQejubPkwPV1B48Nn7M92ZEGm1dUl/xhdQYsGuAFngn/BQDWrudldWUGjM3Ks/SU0QTlHNnG3jGVBNhDGAwZiKUFuEz/nkVJrQXWmWM1VfGhBY8PX/7aPWEHjPBVwFt5JwSreQWnJAkbBPo/P7ujUWkGtnwIrlAJGQUFetkExnFxBvY53jxBTfEGTtjF4ggpXQf1Apk5kZoNBnhZAVulFVUEVAj2uNd11QQ4/eDAVOB9BdhHppUYYWUEaW5Z+i4cPQW58Xg2anlVB8n14CrnneMGRUpBy8AZZQdqJ9A1GgGJB8KuOIlvKakHWM398YByMQZIgwKy9kGfBlE2hOwMZdUGNWYWr5qWVwfntF2YYNEbBsPVND54Eg0GYPqtDMQkEQVItH0uy4FFBFunYi+hDmUGNVcmzZx1bwb2G8w5QVIfBZVVxGmhxaMH/mLuyWEhTwaof+zZ0hpVBFYEXGMsWdcHNgwgItCU2wbLoAxeU5D1BPA4NzEimu8H8zRQGS+hFQerhwJWpKLbBxq0S7lqbP0G9B+uwni9jQaaXu92AullBXOKPn+EcY0GD9QcxqvAqwRFgSBGgWC/B4m+BRcuAWcHVvYvmQ4NVQdCSJJaOxF9B6L3W20HfWkETZWDJkZZUQcxR5EMW+UfBpxEj96sZmEEXaDHrmtWrQXdv63Ihf2NBkCMIxW8AWUEug+WbYiQqQf5zfGA4CG9BvYii7AXajMEdSGy0Jc2zwfXhxncVv2RBvDcePNT3cUH36wa8hvhNQZV2K6JSl1RBaa7CSWTkYkEMM9jK9pqnwXY+H1fJ8W1BblVEGswNJ0Hg3dFT0XlWwa26TyyP/zBBomm9mQDHZ0EuXQmtXkdiwcPX7m9WqFBBKDpZNMAClUFxsoi+KahZQXXtOfQwtEBBZLrXGziqUkEcUEZ8vp0QwUjP12/iolFBdtbI2ajqPkHsnrBdAwVBwaJSkB0BUotBhWzWV7DDQUHQ0TdKWSJVQX6VBBZpRlXBzGl1zs/MPEGK01gEbN17QdbsNJnqF3ZBFmcB4Tq8U0HspHf9E6AtQcK/tORi+GDB6r4ilHHsXEH6Y6K8vBhdQRS43KfJdWrBRsfZrU+3cUFy6DZLL6N2QXJvYGFG21nBdP+jRjZcREFg4vLZXRdmQerIUyd1boLBwSUGJOJTX0FE0YdEGtgvQXc93HrjKyLBeBOtCqMbcEGcOXqbgt5BQXBlD/RaJEpBPnIlJdWgVUElPw0U2GdmwRMcYdK+zW5BHSh56TZ/WUFuJbbbakJUQdCffivd/l1BtAlbJbIfZUE+wKhIAUC8QRb34wwSQkrB/mlVIX81SUFG9mCy1a5pQdXGCVnDoYvBEIjv7tdBQsG0d4ruI9RMQa/N789BF1bBYJ6G7JFnh0H4EYUDqNdwQaAs8AZ1V0RB3AqomaxldkF8eM3EaANYQcOMxGrqjEJBeWNLVrxhVUFP5XYLnG55Qc78CRodPUlBIZLRFlL7ckGRiCSBMEFAweKvQ1alZGVB9te7gHWkoEEYTV6FxIRtwbkTAIue4VJBQfY4rRAxUsF1tVz98gVYQXQqqs8RB09BUboTC+1QZEEe6R+TuiqLQROf5O8C9TdBdHzB6Wx2T0G3MsO9/K2AQfffmgcMGUZBhM7i05knUEFC+bgifbFbQeyvMLU8RR1B1llmz7uuUEHPTLausuSVQYQD8t+h/X7BEAR1GmndWkHsNDu1twJlwVCtwbjNelZBpnu4sGtgYkFJNHLSHlNfQSrUqL2ojl5BVph4uwsRr0GsfX06n4k3wSqKTB35bVdBYosi4snSlEEB60xTO81QQQcKWZKyFixBroV/y3pBTUHb3WSZEbReQcIr4tblTGBBJkcuyP/3QUGcW1YIwJ41wXgr1pDfvWRB6VCbcmQ1c0FEqSw1YMdfQdAYONeHwmbBaM9Vm6SbRkE9lsXmXzZvQayzBk8AG2JBzj1lz2c6cMGqWtIYZ5B4wV3Y+pfw8D9B5pCpJ6JZOMFsXcKFUg6BwXYhJMvLl1lBDMXCt5VqbUGaNFUKbhVQQfA46o+tVj1B6GN7RLHIFsEkyDNRhTRnQWvap/Nae1HB9RjfHyc3XkHn2kFbsXeBQclZ8ye0QktBcZK6sg0QZcEJR6/W9HxLwb5vV6xokKvBcFlXa3uhUsGLQEl47KlZQQiCV0TMBmlBvsrV3tm4a0H1QMRuONEiQaXbWZAhTmLBetYTVMiuacF4RdvppsBowVfMPbkHB2RBUVYTrPXFKMEMYdqzZEZ/QQO4M7AQemRB9XiSHntESMHTCFRx/yZbQayriOABfX3Bc03z0YmSW0GGthxDILoyQbxvruKf9K3BbqpkJ5Lrb0GOlJOrWMWpwSzNvG97VmZBOO8jAmENaUHgu/3FJ3t3QQ6NnxYwIhTBIpcPhs8MbUHrrCkY2MRRQczBEZORRlRBoDUUL30AUkGNxyUo98dBQbt5cdMrn0HB0j89Osw7Q0Eej1U6OdxXQR6lwEU6e3nB7G/zgyYhnEGvWdxQhvtPQb6d/S3P921B3IZ7WqxxMMF8/9kBOKFWQXKJgj/ZZ3xBrRVtNWiKWkEu65fizppcQQtMK5xAFFTBc+fV07F+NEFqxSIrhaFUQTbC8D/O/yPB5jbQKEWa9kDg5YHDl6pnQdpqkN6tlFNBdsmNaSkCM8FAifa/aawcweKjEw+RqFZBQ2um8sLKWEGG66h3gdVPQYbSuvf7bj9BLf67lWwANkEtmEQtw3o8wdz+kJs+rTdBEJrVh2DP18C+EoNzMaUTQbqEz1ZMqGZBxUfPJbCNTEEj90MZXNQvQQCseBUmsSRBPY2NmLzQL0F/JIICZce7QWhWDo0ADl5B9PFstPybW8FVKyPTJrRpwc5LWCwMyWFBjbHFFBwSk8HQp/CgQQtVQeRyqxrRJVtBkdtV3NAzSUHIqL8BPABJwZzl5Tr9JlZBUkd2amb6ccECRWn0ymBzQZl+gnAmJWHBKLIU3P/Df8E4AzL8zyFHQTpi23MWtk5BFJt/JGgTSMG1f8RwgjKxQYNQRCJYu4TBjJ2cVsT6ikGs6x16ECNCQY3JVIvr/DxBnGYRCNyxcUHZa6aYpclZQTJnbl68aZTBzApaEG9hj8ECWPq60dEiQba8CtWBNUxBnyAPN9wLM0GRBubcJ+s5QfZvIOMqfYRBfKPhCT2cekEc0lZBkFtFQfDoVWdFQ7XBSC0Saux3YEFk+Rkew2BOwdmKJNkdvlBBNIrdW9HCRsEpEijyLC9aQXXJlkb+4ZxByhYg5jcKHkHxcQQmcapAQfwX+HinrULBmsE22QmANkHYbrtWFYpmQSR39I6JWWJBzB1OHMd+YkENi1ekfrmiQfsAV+ejKWtBxPLWsUxSR0Eu0fcSa1VwQf53zyqF0UBBOwRWkDkGlMHYqppCk1xEwTQ4kKzAojFB8znTweJ7hMFFSNtacMdpwZLDcbUos1hBfB1YOBOkW8FQieR27vFRQdoIQZttsVNBXfd5DkdRZUFj19cm8vRawZJxZYBerwLBiLyEKcw2n8GyKYYsYjVKwW7aFwHL4UhBVYiZMaYZSkEe4+HUo4jJwfQePvIAGlNBdYkofjQCbEHSSaIFt5I/QfRqHN4nUENBAmrmrGeSHsH0d0AogvVpQUyLlbb2IHFBXl9Zxsxhc0HgjRuxLpB5wW2AXUeIA0ZBrMDKkFpwMMH/d5aEbzdxQYrz8UXqEk5BwHrLpnoSRUF4a/VBcfIpQWqGHjtuwHJBEPT3K8DiMUHf2YewPvcVQdHTAfYHQUpBwuISqswweUEOztdBBqkuQZCqwki6y1HBRpFVCwdQP0FGss2VO+xsQdYy/iZYSpdB0yuM4hqpLEHzD47lvpKIQXVLDb5mZzZBeRP2+aBgYEGiVGX8ROlQQSyeekcdav/AVgzIjehYcsFGYaRL+MtqwctgxVBIokpBOPkwvECmD8G9ELLMVyhXQUMi4henilBBJrOlPvhqIUGij8muJIWSQUDOsUr5pk7Bx8L9vMPvgkEGjIHBNik9QRO6hWjfukFB0mwU1ulNcUFOOhRQq42IwYMdiBMkl0xB/kgz+/eJUUGWa84ZbntgwUQCO5CEeW3BlX3zQObKaEGUZo5DVsBVQQ7ok9/T4HFBNNWHzpqzV0GYt8I/NqOLQbSJy8Ylh0BBXQMDDD9BacHH/29KUqmJQcOTGjfw4JpBsGAz+JjFNkFMKI3uEhiAQZik/T1X60pBRjk2tGFccMF6mqenS02lwYfDqqSBsVJBnbMWZJpZOUFAe9qKKVFcQT2i8+WlK2HBkUIEHJCLUcEEboSTNQh+QaAdKo0hzt3AfmBNAcy9aUGylfKcZHtwwX14AV4w535Bp8hFqtz6TEGObnfXA5AwwQ23raLrulVBHrA/giwjQkGKBgJDVa/zQCbjHVCkMkZBt8iKHc6vN8F2QYplb21BQcsFvGAg4lBB8i0oG6iNc8Ff/13pmUc0QWxgNJisLUFBeUL+Ye01Y0EOO98uqEVyQb855VeQ3oHBqUUBY8A1fEE2vI01VHmgQSZE3SM5Ai5B/ydLCKT8UUF2AEYl4OIRwadbd4f2R0pB9dgrgN8rR0GZ30YwCx1/wU0rAS7sE31B2XJKg/78dUEkqLRMZ0OLQfYy2/OHRIJBbxHh9GIhVcF+d5gVzIBDQbVv1ggrxUVB3OO3/yfXRsGSiy9sFIlIQZBJx2n6+2RBDB+NRvJgQ0GWdzljZHVGQbig5F7PGFpBJnpDo0euZ0GzWxeRNVpGQXvBKFAA+opB/BLXSZXFMEHIO3BwMGhxQbS9vDdsMcBBDaF3RsL8TUGKNM6EXQNAQfamCcFFVzhBIF56xdcTW0HwVadDPmjjwABy93cmFVlBeEamEyv9XkEnIPsYWbRAQVRzJe3S81NB8EDZyaccOsE+M1QUVPREQVTIJMLBFFpBK39hkvpKacGvewU97V2lQZ1ol6ltMV9Bs90iDv7cX0ETf+zE+19sQe6GUu8l3kRBubOfibqjKsEJHDF8RsY5Qc3IQKBOvzzBhEc+mCghMEFjnxgAU8ibwU1d/emVBCfBbT7UpDwYU0F20oOQSC1YQdUPZtgMc5XBuIYiwovYbkHQnVXeti68wBgvrKLg+VFByDp3+VAHN8Hb4EfWvmYuQTscvokBZHTB7lkLRwlXVEERMmXTxjJSQTtmAclxblFBG3wunKzSxMGrs/u/6N57wT+wWjF3/2NBlCMUa9DQSMFERS7Z566SwbW3iIOyUTpBRcvIXEQYL8GACVbBm8pZweUULNSd7nVBZ/p5STo4WkHAquRPZqFmQTjzfJNp/llBkKI0N9Q3mUEMY5oF4oJ8QeV5mnucJYxBvhA2ja6rbEHwxc4dpZY1wQxLYoW67WLBj1LYnbZX0EHKPZg7VlxwQfndrTIjYlpBxDMSoa/1kcFmtd5tBmFSQaqwvcwPiE/BoIVtf+/rIMGcMEoVLxpKQWMI3CsRS3ZBg4XRj7HdgUFoZOOMzGNiQc0KJkGNsE5Bwsh8u7uBXMHriMW7bDeuwSSLunC1+GTBCj5hAZIoU0Fay2q+ScFwQfLZdCtZvdFBElg+clI8WEHDpBaJZyxCQcMwcoXPZTJBN22igR/3XEGqqT4/CY5cQUMFIArVfFdBhEdCPtVLiMEWVyCGFqdQQdhpUVQyUChBKmu+R3ZrkMEDf+V8jLNsQdBVRIKUN0FBJvdzaNGUX0GgBmNhhYVcwdeR94kEtijBxtEPVWeGhUE6nJZEXRZaQVp0/aVGbnJBn7pW5d2yY0E7h6WYei5FQR6spn2FaF9BP7AKwUSRSUEcw8cF6JGKQeBYh9xDUFxBRLOQ41tackEmQwyN3dJiQfV9/72JkRTB/JunR6cKWEHekWIAxxF2QfJRdhDJj1hBJ8jLLeLqV0FkrUznmNlBwX12Buif9m9B2bOx6GahOkEXjef5a3dSQdQ95J3UAzpBxqAQMu1ircGCQDuYUqOQQQ4Y0WgIFZXB5SrUrWwu2kE5TRnSF9xHwZ6opC1HVTFBvXuHkSvRVEHyKwIilKc6QVz/jBthB0dBiH2Oq5JmVUGmuhX7zE9VQZpv9/kABm1BXF8msddxR0H2bASzXmSAQbMlmxANu1xB9YEjR/ySMEGUA2mvgnlLQZtA77crxChB4KtdVsb3ZUEL/7JuBG1OQQZ0I/OG8S9BWXx608cmYsG88TJgBS1GQYPZTDsR7bHBfeASLOgnOUE1gm1MOrFJQepKR/EfsG9Bnx/kWB5oA0GkssBTS6YjQavVGOSeFGxBUqAyYmTqY0FvL4YHUbpOwS4YbfpEZWHBcssUZ0bYUkFeqQpFE3laQemTvQAFhjpBhfOsk5cVJsG5JuRrUu2RwZBANYxxG2HBVFQXctf7UEEo2AG1D2tzwaCu3tFBXkxB+L7D77I+TkHgbponxQrCQNLWstKyb2JB3oLJ1YgaXkH1wHWc2pdkQc6s4+p0V1RBZzjj2w9pTcG/MrwUFKlDQdzlUr/0S4rBO+qYXNXKakELV3s6Fil7waqn3O7zjkdBNnKo47+pUUHPVioxcrwjwf0XeKi5uX9BSKwySqjNWEFLnNSQQIRkQSzzImosY11BtrBR/ZlXfEGvi0bO3HdmwYrAJcBkzUFB6+mxUDBTi0HWTJ3iBTppQaRXviwQ16RBudMROfWhR0GtKTkO4txRQeT+GThkwlFBSlSGTYbEZkHQfFH/iThnQfAjI14RHkhBeKi0Rp2ERkGvxEWNbz5AQYsvsdThpldBhEQ1GOe3TMFss3HigyybQR3kDU24Xm9BP3C9cSmibkGRCUwfGxN1QaZ+Mk+33XHB1qfwWH6oUkF8Cn4VJLlQwVdoo4j6JmHBjz1owzlXj0EQ9jqd8OhCQcf80o/ohXpBGHRCyHDdisGf0LzL7g+QwZY7sa75m15B1nMR8na1XMHzEtqzkEhvQThf4ER5M0NB8BYdogY9UEH2SnqAoZOSwW6OXYtR+39B5poqocD0akEwPqWAzHxfQTg4xgWVSbJBdyff8r0UdkF7upbJOu+GQbgN0MvTvUVB/tsDZy+uV0HK2z9A4PBSQUZYpRt6mYFB0Jk0QD6AokH4YZVilaA9Qd1J3rAfrG1BGyUnJMH3P0H9UIXxjrJ4QR9PbejMWaBBSKSp+CxOSkF8lirIeIJQQYNmozBz/llB29cFv0JQgsHmjLiy92BQQffyG1rsJm1BQPAcpCkOT8FIm3NBEpqUwQvNIgFS/TLBMj5zZGFxXEEkWZW2RdJeQcpAZKNKS09BTR9g1JiNaUGUYGJwdglIQb0fkl7BlXJB6L+RzT22tcEweNQFqrZQQWSnVIHMnenABLOczeYEbsHvqs70WldDQT6KoHiUfFbBW/g8ZWFjm8HC5inDogtYweVzmcX/7pLB20isgbkhYEGxNigAl/xCQUKoYb41SWBBB5ZAIkoOYMFwkCMfwCyAQUCCWVwi9YJBEtPj+D8JM0ENH9rWYZ94wSWE/3OLXlpBfEyi727jP8FN9WH/YjR6QRRBAH8XPmTBirg5MaGLVkGChOY5rwGHwYLYkA3D5ZnBLof9ZKDmcEGccYAdFV4owZmb1LutMHFBks/80qhvRkFUc6VYUCdTQbZ0yQWktl1BJhGkGw9voMFnvdQkhflUQTiTyBwgikpBx6liuCkfzsGtSl5V7316Qex4Ega19GtBhlDMKAYbicEaCtcfnPRAQQobS97TWFbBqKR8NTuMYEEbgL2DIVBkQcQk9Oe9j1pBEuBlx15fg8E3idNHk85QQQMiM8LNr2vBSgCu8CCoZEHguLFE87pVQXksJJnFNVpBavKBEzFmZEFO9Hh6zIVyQVLC8wP+r1HBavfofo3gYkEvk5C6Ia1tQWNqwWz3XSdBktgq6wiMaEHZ8GlPz8mgQTC1hjZFZ1rBQk97C6PFNUF2yff7IqRHQYdD3h63TkFBGEarFp2yc8GE8iiAW6H8QFL5SwROVG5BiosUaIG2P0F1S5cwxyiBQY+QC5Np4mZBhDkb5CkLdcHYLZYziFg4Qee6tFLY30JBKwpMUlGYHsGWkAr90P9ewQgNFyep1YJB8F3IxAuUM8Eu6A6ktHxUQfnnu0RkumZBjDtJAvdPoMHIXKPk58JFQW2enqTYLGBBuC4vvjb/E0GqGTzfhixbQSpE5F4pH0tBqLlTNF6hckH2Q2nQgYRrQcNYRuncjB3BdrewFkn4gMGCCU3ZfYJnQdSoglLlunBB06UyPkd4sMGIXReOABu4weecLGjCaFBBxy+xssuvikF3gEOO0iVKQVhEOXEiNURBSl/GcxemMUHYDtcfpgBxQUuAYX3XRYHBwRq0y+gWdkEiOzweBZQ2QbjjsVHJUFLBnhokWMgdV0FbCggPg3lSQXpHXznh4QLBpmRQnYf/akFSs/nKw5AoQWPkXRp0CEFBgtIU5xu4VkE8hNChVk5zQQKlpYGE11xBWNcNcPFgQ0EYZvHcCDp9wetYuR5wuk3BEueACBqSWkE+MAlKDApFQSLJrHae02BBwvvSqBnPhMFcObSVZoklwfFnSKY36FtB2ltCzEZIm8FUglCUP1zxwP3KKRNI0XfB+8SB9fPjVUEOs6VgKMlTQdc+98/Gp2BBpGTdCVUMUkE2IGyLzYVQwQC2AJ1dTzJBIgG6yZYlVEGfGGSRqSZwQaa0W8El0EVBQKm/h5XvV0Egcssu2HraQb7voyKa6DPB8Ye2+i/OZMGOKy7ZXgFyQW7diEPmai9BMj/fW78Gg8FOfZlE6vE9QS/bGsOh9VpB2WbIiylgeUGYD7rnDmVTwQTv12Sqak7BuQksn4YIXMGAJ3Nn+L5bwWQZ5oE055FBfuKL6ITpZMHyCCMBJelUQQNekijAKHFBLaQcNpbLeUGhqcnY5KyiwbWbEAm2fFFBT4ieLMT9bMHtvUCMEkIywVUAzqTiMmBBUpOf0xaDo0HzvApxWFFywfXVodApl1ZB57qU8HRjXEE9EwUKWcpAQW1FgFe321XBDDEymPrKQ0EPe1FFeo+UwQ5cwOYyU1tBkcxr1nVIWcHT+4CaNToHQdibkrwOCDNBJ3JBU7l5ZEEZP9EyCVhYQcM6893WbjvBgKhnwy1jXkHAIKrJrcvzwLJ9Xn/i1EvB34QVoBUni8GEnOpc/+hUwQ/gY25RgkJB8Kud03V8jMFBJtjWQRqpwU6iwWwCIlZBghpRk+1Kb0GK7rM3CttWQVGBveng95fB6KMj/3+FUUH5IgIumSRNQXQ/9pbue0ZBiQPuwccVcUHa1LH7pUJCQasyJ0ahiD9Bsli5xt+QW0E4ZzrnpuhjQef9oNCAWEtBMCzBVMrIgsEnp9t8xbEVwboaqDfD20dBj8VoXOxxZ0G+KsdATQVlQfpx3qYLlDzBggNDVbciVUGfebq4FxJhQfvUxJ42SEdBCLLZ/fb3c8GxuTeUxRtgwUP5U4LUZEJBcly4CbQpEEH9JUWKxRxTQQSNVa7AtlDBGuesqrWEPEEE2MMaGLcwQbJVpTL5x1dBw8POEQzhYkHI2xAwZxl2QVQvY3K+6R5B+YSgzv+EM0EyyAwi3aFDwa/3smfQMIxB940YuO4bY0HOGW2fpIo4wdR3PHc6DmlB0qZjDz4BVEEuGnO53yZwQSRrmcEtRTDBe61BgMT+UUH+4ZB6/sRTwd8y1/VC/3/Bk8+ZlVWLVkFomEIKsY1fQQT+3Bz5C4RBpuzxV3Rfj0Hv+VzXHQ1CQaLPxteFsURB3TyjkLK0MEEkvZUOr/5gQWkRFX9CW4ZB4ikljUGTacEFg2hai16Awb7Nz7dju1PBzg2ou8I3ZMEfQFzjosFfQbkcdmCd/mfBtFJcixYkLUFY/+2Rv+xdQVxQSGWdkj3BftFVd1JJPEEf45m/AZlXQZIEUim26GfBeLh57rCngUED+Gd1klpQQc/obemPHHBBs3VsQPH6YEFIjif5lJV3QQ302jJTZ0pBckPLjmqAJsESd9/4m8o6wTph+s6uxSvBlsrQ+hUXj0G4cadVZFdPwSjVVAmNuVHBFovmlbJSeEEk3gx7XllSQaZdNyV4zoTBeZRvXVfEvcGcretIYx1GQdeeCyDIHWfBVhXtf0JGY0HAmQlnEgBaQeN4kH8EBXRBpEIJat0bVkGOsH9dXiRxQY7t0d1mYUtBjELVAgftZEHQjYwzyl9TQSUmVy8RnJpBSTuBeajvesH3Wcs6BTJtwf7hD/OjslNBGfYei/mNR0GunbIE3FsqQfZsBBOatmDBXY+KqcEiVsGS+iNGv4lBQWA0Py3yRE9B2aX26+bQQ8EnfIFFqGmmQYa8ITa3T2ZBYKntNU7QSEHhWYa07wFNwRP7uSeQ3KHBls4ZxcR3UEHifx8o8ERQQYaspnRsxmdBqhpU5Vr80EFe5b98X0o+QbD+oG8sxzdBRpGr2RZEUkEAE0P5lIVVQSaYFKMsby9BcAoxiFMFccHGpWHTOG5PQe1xewnFFl9Bbd2QiRPhXUFq/BMXkEs3QV744cdFOF9BvMXIAP3VPkFccRBn5/lxQSnmL2n0g2pBqa7Jhtp4UEFg1/IjFMJ7wS44BD1hcVtBdDaHlfkCp8G0fKLAUnhZQZPBHkcvNzfBhRyuLOfEVkHGgDmXFqo6QSDLF1NArVhBcv5eq/uBJ0HrdRZ20ik2QaVMEvLlSVRB/INhF7WPsEEDI+1jQyx6QeR6vxFrBcNBYiRcVEc/UUGcddV+4OJTQRlvoHFNEWLBKWf0fhD2SUH6XBEjRzFywWSQOppgKU/BAzZaAM1WXUEQYdxzMQk6QYBASRLgb3PBhk4aEwp4WkGWQLcoNkhdQSB2x7a4hVBBc9rOjGnFWEEmJU5u9P8TQVKYPMJdqCRBAhc781vEoEGoJMa78ZmRweI1hKA8hR3Byga9+x74EkHOm5g77HlfQWCC6dqFVGZBvLyI9odSbUEm9PlxT8NkQbH8cUJIdT9BcWzhSe4Uj0EEQSkikeN4wUBcUSgTU3NBzOOJKdWBMkFfOSe3nAVlQV6RxAml40BBQkKJtkEIcsGChUEfMlpVwYQTsZBiGltBZsZwcoE9U0Htb1jI8sRmQQLRmtwBaHpBWqGVuZeWQUF6+nFVoAqkQS80qOMy6kpBcDbHFostd0GG+5xWIKNRQUEFnUGuP0tB4FXxltLdPkGf2tx+A1JBQQD9ZY0ZxzVBMbk0DO5dPkFX9txGHQJjQeeLIhi031hBhoO/HTitY0HQU8p3Pp1jQXDMQXIndkPBGoBZQOvEWMHo4uEt/LN3QdsA404TrVxBbAeLjiqDSEHstaAxqyElQf57eWaARVnBYh882o3DV0FOLJX+jEdiQbM5ytk8pEbBrnbMDLWRlUEqmRrDbgdhQWgICsKa52pBci8nA+6uScHrUVIjk8lMQUc0EwwZGV1B7XVXc1gfV0EUqB7iAApQQQFxP4+lQ2rBpyEMYcGdlMGQ1+r7AjVfQQXm79M39W1BaXobSC5VekGGDNd+f39LQY9LVDGca05BgQYdKADBoMEIgtdAQ85NQVzgUoqmS3vBWTSUSEcKIEEtMfs3LTpxQZeFoxuIvjJB7qV7Nye+OkGemr7k6jBawZWnHJ4ZVyLB7qA2Xam8JUHOEGzexK1pQZFEuHmKRFJBPELcXg+HVkF3A7Eaf+iIQUDDsErksjRBYuHW7vfqVMHGVOnaN2KQQf7WYCtb1WHB7OUmF7BqX8E0N9nn+cpBwZDzaiz3w2hBwL+Vf+okvcDursyyy8p4QXwIHvpiylXBMMmv86CQZ0HJuwrmgcdCQR3kEb5GdaJBmEhWiXNDgMEVFrgvsctVQUrmvCYPJitBplGWwJ7eekECssgnoi1DwXjQXeBicErBl5x3+xhzaMEO4xOPXKU9QdrcrsilvWdBNP2H/ufIaUGRSxtmOExDQRX6KjG1MGDBslwMvFOZXEGCZQI4Gjk4QeQ4IOEIxUpBj7UoXSORXcGPeyLfbClCwZSV4ZU/8lNBHsrSefMMPEGwl8B86Cg6wT5Y6O3tP4NB8H0N30r6FsFJPnHs5s5lQe50dfg1uFJBHg84Lj84ZUGxGAhv+ligQaqcgdhmVpRBvKZc+pdNZEG0hC3GpQjYQZdOyJu5IzrBQ6flrRypY0H50lzWfyFrwUfqF4di7YhBipw3Sci7WMGSNXWxNwEgQSDXMmsexIdBzu0KeHWDX0ELlRf3+TJUQfwXszYxG1ZBI82VuhTacUG4shujEYF5QYNuwyDO0mRBHriUKUSiIUHVjkumkoZewVh9E1YKyHDBrkmhxoNdf8E06B3QYgI1wS+b+fV7XHvBfhmy5SXGZEGZVknfViM+wWlqJH6gyCJBTEpsvLCZZ0EKS0jBfkFRwRjokPE9U1JB6AgKa4p5XkHqgp2iQZpLQVB8ltzI/MhBxmZL90F5GMFEH/0lg/I0QTrk4U0P6BLBRF8qBumUQUGMIqWhptl5weTt8uSgTnLBmHJwfyOqZUEYWA87hK9VQXxLx0Nm93LBWBOPBxFGVkFNCKdtHtaEQbvLSZYogVJBykcO0IcEXkEICKbVTgNgQcXXdxAoA3hBejYvYtPLYEH7MlxI++ZLQYhhCuSz3S5B0Ydc+XIAQsEqzeoPPJ5PQW1GEQIyQVBB2G7KAjizZ0EsFp+Th40+QfB8E28+xldBvoHm9dtfZ0Fup2VKvRNzQU2dL/MeGihBChPgkVjvVkG44TI5WWZLwUJdPKogn3RBNHZyrglCIUGgLyTbOtt2QUDrV9kEO1JB3JOpPs8vhkHm4zkSNOdQQUOdfb2vDlZByAfqT/4eVsEEe8cYJUBMQZofqGf1EpdBUI5S8coqjMEfq5XAdpUzwUNZbeRKKkdBxqO73P7EjcGJawgjAJJtQcDVsSUF33PBN/e4fg/BkUE4bNRMLIDPwR20J6mHCT3BoCzeBJBGkcHHcCHkwXJVQcNAw32QEarBBJ1ra4iPJEEospdOlilKQYcnLhRnanxBxckFYLfPXkGMx2TYnSBRQZ214oA/Q2BB4jh0zw+6IsHpZ7kOB+1Wwauu0aqC1E9BlHYqnvlnPcF+PofVhtBLQSheQjbGTX3BL/yFhcv7UEE4pXmeMnBawbPAjQ/lOGLB6h++fr3tVcG88it/VqtIQSw2KBzWNVpBmWVzX5GGlMGKV1qTUbmbwZhvzRIQeDbB7SZMLYAyXsE4RrWnA+g7QdfuqdZYKjpBB6T/AjajOkHgM+hcGnpfwTeBpNBY5GbBEswgw2VUpkEGnyA36V+OQe6eNKXyoFFBVDlojxwBPkF7jp+y9V9WQShxe+xammFBZfNOiuUwYkHj+iA/LbxJQYn879rgbjFB4CF1OvkDa0HzZ+F0eOpgQbp7f20PRGBByGTYcuMe4MA6K2T5sap3QTdXSsbtgmFBZrUdoClNNEGOiXVfE1dwwRRdnPBL4HPB8GPCzq2rvEFAPhuMEZJFQY8OpycFymJBGNgXq6EFckFMsr35sqtjQVQpGuSilBvB2GsWlrkdMEFYHeQLTeVTQbHyzZ9TdGJBq4ar+OCDNEEwvKBJXr93QQj8abhYEURBWC55edP3jUH15LBpTOpWwWsaFxqy+UpBtJaTf8APN0HH6ZvhQeQ1QbC04jznaHHB5L55O2VNVkFg/O5FR9pPQVTtTnI70JZBPqadIyc0TEHqxpIgT+ZRQe8atw/zo2tBBsae1b2DcMHLj5AHNLwYQU59SHYpvmLBPaQpbUAhUEEBTr+CInNJwdGoyA4s+G9B8yOKNmkxOEHNbagD4O1dQbhvoIO77SNBNp5kq0pQKEE3KWutwFRQwXreBYhhGZPBgoQwgjDTesFTm81Y80NTQX7j0QDRMV3BemOR0aURe0FrF1QzvqNtQaWRcshBvEVBo4w8FtQaW0EnpxUy6QVJQUQXAL6QOT9BsBNc0MvIocGrXsRAsDcPwba+Y/cLNjlBRQ04xwjLgMEaxGnwYfxGQTGtpByPElxBvX1f2PQqlkHR9+ckKB1mQQiQ0jObb2FB/q4NlQ4yWEG+wv6Jg05aQYQgNDRu4g7BNF+vatsbf0HkUCAvAYxCwXKgk+ticUtBTLOwtgMDcUH/7+27JVOHQQW3yNwlnYZBdl1Qjskkc0F4KCdHWRGKQZhPBlsQ9EhBqV2JEFSSRUEyLqth7t1TQWeM/Y7rtnFBewBBTmi7ckET5qxVHV+wQeYVcV6RK6bBkhWL3rubWEEO/oSStrhcQWOh8wES4mhBpbfrsFUSkEHaokQXxW1ZQcKY/dFm0nDBKYLX0YHngUEPMxMeYEh1QYYD7z3QgmNBlzW8zuSKakHSCQLB0PkzQaA/mh8IjLlBjGiKSmhpkUHE6xWCtNZ0wXgZTt7xnl5B94w0NvpvU0E1U6gOf0x7wZQ1fNYWvoDBJE58m+mJNEFeupzPzP9jQYpRujO0DHNBx6Og+yqLRsEsUAZu3g8bwV4TlStQNmjBO2kO9C79YEH2l/raHetqQehazkBwcYLBvurZWXphTUHJw9mPG0poQa0Xnw5ifGdBb3xoUb2tXEHgbdTmL/pUQXTGIZunwk9Bq77d2o7dN8E/UZwYKE9TwcxOR1T7TCRBfxWW64cQZMF+yFqRVFP5wFZTG5fp32RBNYKub9VMYkEc5XPF8EpSQf7cu2895G1B7FVZ7I1yaMGxmdapqIhVQR24Yio7nXhB4QI9Yg7/OMGx4D68g8xhQWQa39ghlVTBYEAJTmknn0Hzk4WxsWtWQTlhPOJ9LaVB4F/0dlQ3GsH4kSMw8WWswUgzTl+jRV3B3yTAgiKvpsGiw0kErKyRQZ0lyjMm+V5Bgu2DtY0ZTkHSEbtNfVFSwY4GsQDNQWFB2vagpAjodkGAdriIKtJxweaz+5RnSFBBB3xVqdGllMH3EolDxsFwQQzECvbiok9B353K31j1tME/WkOWQdVoQWAPoDuCEGZBScjhLSG9RkGsnWsyeLdEwbz6mhsqnHRBRKIAo4vmcUGQJhgpwnOUwbpVtc0xmUtB+xoe92tpMEGsz5U8Z5SGQQmQ3Eg2n2FBRh2HDBttbUFe1h3xcqyOQb03Tmb4HHRBTqIVDlARe0HUKOdqroxBQfJr9oehVHJB7adSej57UEFCQZAdQvdMQQo19i3MqFFBe/fBn5f0SsE4O9H5PZFfwfXIG76LhT9B75c4b1UrVsGAtxQDXpY9wV/mbFjKI0dBM8paFwvMXkGqDQJg7QF+Qdpx4ohKY0NBeIJoPERknME/zzLy4bSFwc7t/feDuXpBw9YRcEQYZUHUDWbuPTaBQdB3w3FkXWDBUgERgFnTQUHg0m8GUlc9QSAfUR3+eVJBfgKyDF7JfsE+z6+UMhhrQSkLcg/py1lBVPj52T5sg0Ey/ztp+UYswfCFyxHLtFdBueTUULfeKUHuRNYfNTRSQRi3HPujhVrBZsRpAZ3lVkECSo9KCS1VQdDrmYQox5HB7B7mgg0aYsHmVAP8dJ1FQYKqz8zMLTZBgjgpW1PiQkEKVl7fy7MzwfyPF2K6lpJB7tqGp2tBdEGgGo5aHCRiwT6XgeZPZ4BBTgb+wROkcUHthpkh3DZZQbIO6SZEcmTBgN98yOSho0ASOL0naqZswWHeLIJEx3FB9PV8KYChX0GmFgrNgYVhQUAxaDOJPz/BVE9JNBCRa0GIpk+Uzi5CQVbTJW9DBFfBZZ8jGkSLQ0F6cp2GIXZSQYgolFjzbFtBt7YCu095PkFUD1LhLYVBQS5ytiLtlWJBhUud+9C+OcEiQyHjt/U5QexmRZQ8UPXApVVa/1U/UkHBtfHdaXt4QZcpdw0YDEhBzqd9crmHosFQmI6xAqJIQV9yFPzKRfNARW1otz6vaEFBF4J4dhVYQcAQwUqdADxBQFriwt+ec0FuxsbPLuJfQUn3a6WbAVpBBRhfVLfXSUFIdVQWfxo/QQNvhFy6v05BhNrPrJ0it8FPBLUD7N1YQaxxIpvXQ0lBhbPU0FuzC0EMsAzbkxE+QQynX77SBT5B34iyecPHYEGihZtHdU+SQdijy+vzcW1BX5QSf/gakUH18WcwLtxSQXtYHDJAuGRBspzXkyx+VEEgKyrZ0DJZQU7cilrad2HBrL7qAIw2VEGcJaBE8AFqQTaDxXjC+BPBraL2f3WAVkF40lJ8atBnQXxai1wu23lBRIpeb/bMd8EVLc6A8odhwUyTxIoVG2lBvnen+k92NUHIHpV+6KdgQfIUUXyPFEBBj0LRQ/1TgcEa/3h3svxpQcb3prrCvmFB926/HiK6jEEItGF4jDEpwfQFlSQqEWNByJtRX48HsMF0vmpXC71wwZjfNwBniUtBGFEOzuvccsGRKQwFUnRxwVXkLkl6r0BB2SrwbHkAbEEWuSRuUr5VQchdP2oduD5B1Li+xfViZEHL/NbkpJScQQfLXrd5FinBmPPvdh3Rd0HJeZVInDJJwR7MNKrtV0VBnaLG4oNvd8GpTjSMJANZQZRyHZIMbXJB1ICPdHQ7VkGTTyCmJco/QYZvLQQjUWzBVu4+sG0CPcGnYWgJaD2BwWrBWT9K8HlBvbscGJaEL0GRAPql/MEzwTwRNZngWrbBLnaRUTvMUEGGy77Yu7e3wZTUObs5BFJBK9EBf7pfUEH1dtyfAJdiQeCrFDJ/Bc3ApZCJ+gWBQkHiqTPCJtJkwfZkheTXX1ZBikBH4RUkcsHiMTC+V6YxQWNw74i620FBgOTvi80CVEEQMTorl+2KwSRLmPaJZ1FBoKQVDCXbhEEXk2LbyoxQQZZttlBo7EpB5PY+LFs8TEE6MH0Wd1kyQbSe8D6KzVbB2twT4XG7D0F8bhmQMt3CQbdjGa6wPFVBhpNs2xsDYEH/QeCw8IOAQVWxJNCtjVlBp28S9rozhUEQ6nXenv1iQcUxv0Jw8CZB9MdMvIWOYkEeO2iTtKBTQRwjq3ae0WBBsKAGeKFjYEF/fy7xLDE4wXKT4aOZkaZBYACjOe8lUkEXyh1d9IFOwX5OxzoOM5VBCJXfV9VHWEE4RgrR0dVOQSxYQzLjEjNBqWqZb/CMMsG50Rg3nbtRQXyFQ3xR9XjB5OYPHZsRYkHmYDxxC9onwewyTp2ddGRBU2jSKxlFP0GGelL14MRCQbC4vGKQvhfBrJl5WmKfPEGbudzDT/+jwVGLLrPGb1hBsgtQaHe/hUFJTDnLCbBXQerORtToW1zB1H5r9VSnGcGidNB/8CdmQRgMUMZivGDBWGZMBbBiTkGMZDqx8s2IQSB/WR/zAXBBFX+dnUaOYEEIuB9GqM0rQeZZ3u2XD2NBxnhSo0AQQMFxQj4/jGJpQQrwnBikijnBhHS7jxwpcMEBLb3cXSVgwYQn8IDGiYFB/KZBlNx8OMFEWaZe5o9UwcJJgB9uxJDBUO4z7QE/Y0Ek2mvY8jM8wTZPc6ExCi/BwsyW8whrYEEw9XuCQXhNQUx5n945JWJB9IHcsCVcWEFs+PPhuilxQX0ciwft8XFB0cDNqaHbPEHFqwZa6LtIQWnXTyD0ilBBqih22ULqUMF4g/pAFsWLwR5E1I9swWNB2lipxrJ4W8HvMR7sydFGQQXF64NR/ERB2HnisrcgW0HlziokfdGPQWyTdVWWATpBHKNn78jffcEebTaEWdVAQQrMrRMne4VBQHf2rEsnPkHcKo/XVGtaQVp5nFYFonhBjhCfTBkxR0FTsoTK0PFEQbACBuSOA2hB2taXznGXc0GwGvxlA/xSQYOMzi8hwVNBBCaLLEQQWUHiMNvVLK9kQfapwMCdjlFB0LhOYQg9XEFNHNcBYgWiwVyM4Y7yarZBtMye2qayUkGOK2cyeT1GQVUKhG54WUxB6CWUI8g8mcHILrbMIUfVQNBHQXhPvEhBxqQwSfqcNEG+mTTJiVlbQTXWdT/8mVRBu1RRtwzRWEE7YuE1ChNTQVzzYfx+ckDB/CN4ianHR0GsX1NvuXc+QTc+XH10cW/B6KvoWo8FdUH+qLkTlOovQYhe3P87zU1BKgM2OGt8c0EEQvPclyOHQQp9ztHPnb9BS8Q9/a8bXUEEaOiCTU2LQYLtaSLWp6ZBGviplIWyTUHmKi+h9x2dQc7/Z0pvxHRBIoYwPiugLEEJTkqqX61VQSopCZMevVhBLEMWTpuvW8EmH3LzLjtlQZLrkPAPJj3BTv51SkN6T8GsxQhGzStTweiR11uLxUZBedEIrqWrWUH6rIvZI4tWwSs2eOsKnFHB20VU2+UdTUHwtuStfx5KQR3qwHW5EXTB9Dy+zxpYWUHUW9BsWz9IwZpG+6ZpskJB8tSfHXYEP8HYwQmzf+aQwUAytoCNbNDAx78cdCqClMHlKY3PmtQ/QTu8yHU/HjFBojbjYuM8RUFJXVRnt3wtQZ7N2DBCR1dB3pysNpk/KEFQgHdxy2tkQfbXUiOLGz1BMjeytyq4nEFzA7AYOPVeQTDtbTyQ71BBW61PQ9Neo0HOFsWuDHB5QcuaXEJ3ldBB4Jo4QfgUZ0EuRH7RxRKLwVhUq7q652TBbOeXtTVGNEGc4wW63MBJQQs5HcufGVRBhPBd/yJ0UUGcet+P09n2wCiASOc9PGfBzpinBZJeSUEHVEK3m7h9QTZXosJB/UFBJA/2Qhy/cEG+pEPl30eWQWySjvB/VWZB95spoHxsU0GsQgHwXxiAQdMyczz70F3BHoRLUN84MkFRhf+LRXdVQR5jMyZMF4hBSGUF/om2Q0GYEH3MFd5JQZJtVNg2JJ7BTr2p0RRdaMG7PGRDR5VqwRRZ61KF2E5B1TQg5qYOgEGohQITz/VUQTs3wPnJsExBLzG+8x3ZVEGw4QPDhZDnwP3MlnVJ2nRBbGjC7RJ4W0Eogf/DUuKdQXxa7L4zE21B7eDhp71+gMEJ9NbtAppIQVy/d9CqK2DBLM/P3aUip8GSu0Xch3huQaiPdKVvWVRBxUx0BYUIW0FCYNTDm12xwVGtHpODbmFBRpWNB8jigsFv+zDsDr2vwWAqJZpx5V9BXHB/mjxFKUHfLwAhcqdYwWKpV4WLWYrB+2Hn5tvRRUHAip0p5oQCQVKeuPUpildB0geOIm5Uf0HqW7frUog6QeBu8gOvhnRBLpmj1BcAaEGhsqHNdi6MQeZUbIfmH3NBCDIoDmCxS0GwJw89DOPGQR8n6XYx5kZBCAROH0O5Z8HgOZbgQ3FPQaVCnZTkcVfBoCa0DxXQa0H0oO7Mu7lnQVKMWeT/hV9BecoNFF/GUkGk0xP3foNvQYCDUpqoHDhBM7+L7cSSfsFcTGntBVFTQePO22bTZpnBvMbAysFWVsGn+R4ABXCcwe6FAy02fnZBEHdgsrdGrsHu1YgfaxlTQUrdgBfdwGvBXtzQ/43ZX0HBKZxiF1guwb6qNNgzepHBvoCSzi5fRsEkNKLcbDxRQWBiCM8gF1RBnLkVroFlYUF8nAovNSs0QZZ6z5k0WUtBcM+V3NudTEG0BXtajv4nwYfBbo6cgFpBXOXXcuSQTcGc1aSfwuldQZpLtH2Do2zBBvNmaBDwSEHNsqUdNTBkQZIbkI3lDx/BvXT+UpcwWUFdogqawulEQXhANdYDGUDBnxrKJOJEi8G7zjdFUyNGwaJiEI2ciVLBNxy9Q2WOUEF0e6e4QSBrQS9E4CK03lBBQWVZ+jqRW0Fus50alZ1IwQw7RAnIb0LBqPRkZIxaQcFkbVnr6TxZQRXP+aeicH5BathohPYpSUFtJSCqc4BhweyjkDSOjnnBzM/Ys2kLOEGIX+3pRh2bwb5EY+Y/qyhBaB/MSsEkXkHY32MxtJ+lQVShKT2SwFhBrFrTnGURYUFLW9PC2YlQQQeuXIOolldBMEj7nIQzXUHGUXAhXzRhwV54djBuSWRBXAIU11TqIEFIgPQr0OxcwcipAMVl+2HBVH0tk48Qd8HaabKdyx1AQbbTgHwN12RBTa3vNtg8MkFk9KFDOD1xQVouNaetrhfB5cCyxqH7fkFKXCkv3ghGQXWCZzRrPJFBCriIrkV9LkGqGY7nSvBZQQRcgObW+UHBnACJwpzNuMEouanLiuRnQaNy5RE/G2XBsI47UKYlQkHtokWvph2BwbZ29uXtzhzBLlcQpwgISUFaPbD0nVdXQXSEiNEQ3UZB8P3QmlDzXkEeUQGHtpHdwRGiUwbCTknB6C0wLTDaNUHK2xyo21hnQW2aOP65BnFByD1/AcAdbUFvxe9AliGxwVz3d9ZuAHrBGk9Vjk8WNEHnk62lK86WQSpkJQqcKGzBZNK17pnpakH5Y73nOjtSwZ0/suxkKk9Beiqsy88WX8GIxwuoAIqawRbBFaqTQ5BBLHOWd2rOVEHHbOQURbijwYMco88koDdBJo0fG/V9akETOi/Hm4qJwSoow04+vFpBvoytyC+uhcE3xU7YbRxOQVg2HhuFQHtB8s0xgIccZcEtJt/RN/RWQchU1rXKFWJBTzv7nJZEicHgd24PnmFjQVl9/nx1PjHBmvIR4l03UUEQV8e2DPtGQY5ZIdIi0WVBbJzQetinWcFynAxfGexdQeUZIMCXuHJB476ibeZmnUHSR1GwotthQSa/fDl29HNB9NiYpWweTUEM+Pi89TxpQWgH1G7p93JBqsUbg12UgEEfJBOw4nZDQZYrNvbgw4RBPJLKvgAGcUH1C51jH8F6wZr3SI84wxvBP8cg6nIDssHIPlYZ9RZawSBy2yvGfFRBtP/5wxowcMFqf2uh6OUzQcDg1UUA4GhBWCxSQGN5UUHo6nGJwR9cQZb1Y7+4VHJBWnr1AXnQNEGci2EfwtFxQcLoYxhUy4pB2FdkREwndMGF3W3kF8dWQWcFPNG8g1rBJ9rqkgzkuMGAqkn+JNZZQfh7dHQhxEBBUjQzp6AIVsGTgK+f43u1wYCYEg0H2z3BHiK6zJWBckGHvl3r5G1uQW5dsEMS/G5BBkfXcUHHZcH0EzjGa2yAwYSWJr7DaT3BWtMmnPXicUG87qEDsgdIQWjJtoMXeV9BWUWs05teVsEu9eeZXHJqwbnPGe1XzYBBcxI2Gk70UEFqj8HrKF5YQUQUAHnuYmZBcwFqfNm9QEEoRu7Gm1tkQWAlvMwY9zBBk9eUGX+Fc8Hibpwp/ut5QdtIHFojN1RBaAogvw/PmcGPmHg7J8NGQbiP9vwx1aDBNRfTcP/lh0EBo5Pa8YRLQfAPmnwocT/BuvszSU7gRcEEkaaOOElSQVRxo+4Xio3BpKUcsNGlV0EVYLll2hpsQfmmialC+XjBEvtn6P0CmcE+ICzBuEs6wa8EFQPCY1JB2BwHiLzAeEGZ93LGTj4/QQklI3EBrmFBlih4hqHacUF7Qx5k+wtLwXBjGQV1N0NB+qA7mPxLXkGArqTQAhxRQYQnOWaV4FVBy0y8obYZX0GidvZJINU6QdD3KqK+M0dBNMzpi+c2U0Gd+ZxNsUFTQRMrehzsVVXBdmxLpFOaI8GeOgbUbCxhQfDiipr/ynfBpDLlNtI1NME6wFKvfMmGQRwob8hJgp5BPf30o1LJhkFKNJm0wtVrQeEVrYcKlXVBz8pnYHTuKMErhAPmAkk/QRNBWEuM2VdBAJCw9wajVUEQkTNgopGaQcZSJHzslkHBR+XSIHEYQcFSjcxBR1QmQYYvNLEjU1tBGKidbvvHSkGNuCz0epNYQZIG7PutvUpBxmOolLF+X0FuzmHbO9hdQTCWl7p+5WdBDtYdmKiba0HhRHBfKzVMQSVg28OtcktB3+fDi1VMSMEdZTc4qyI+wc2rqrijGjPBYJVNc8AfZ0HUXZhdGJdfQVKqwajUzfnA9pp0bih4Y8EQ2xddP8hsQUIxMP2XFVdBVHGiHasgbkHl64NaY/syQaGXzKc/0HFBIKJoR+oojcHvRjH+20ZeQRR85/2L/ZfBPEGB1DxsbMFw3755ehdyQdvph/srrHdB3pDwC5f3tcHQptwMJzCbQeBLZnIWn2jBSDVcH348IEGOvKl6N/5kQR9sKRd2HVxBgcsXp4jSN8EqeWG0iCmIQRHZgRZvtFJBnjnQYLDyRUHk6htep5FkQeamMDhJll5BoLE+yK6CPUH8Rd2JEipBQd0rq8Bko37BNhVFjFHrcsGOMTYmQkd3wQ7hKusdhXBBgu5feWkvkMFmsjJUP1JUQV9EstckTURBJVktIGvWY0HDb8p7a8pgwQL40ONq8XvBxGcTszq5UUEeNs+XRVgkwe/xxpPK0mhBvE3eciProsFno2Dx48VmQarHDMQwHEVB7DfwOZ3NYUHAKLSFYMlAwXDUvA3jwldBNqTGsoKxbkHz8cV31/hDQZ4PLf85cFTBrvR8YbEGRUGyj3BmRLtqQRmfr53UnF9BJNY2xBjmdUFVr7PYK7JnQStGjVawZkZBOuffkQWyUEGU6NCwCUZZQX4rgJGnalxBDkGOiOo2WMHf614OCIF2QXyQbllpVQhB66k4fHGwQ0Gx4DZRMMdRQTeedVTfE2JBy0BsO2T/O0FTkoVj9shQQZwZgw5gc3bBcPkC66Q1XUEGgUwxzXtEwfcrKY1+wEHBIZvMZeEyM0Gf+K4ZcN97QRr+Ciq9NmpBhM99O78tV0F62/UzLyyswWCEDvSKb05BKZ4X65i+kMF3jdcqj+xQwbXEt4pj8GBBxsp5yNXSp0EKpx+XpcNWwWgVnHws8VlBhfjTELr9rcFVfGz4K2smQaeAnNAROTbBBZQHnCH+WkHwaXP0VBZeQVGt0X9IxsBBcXjgFuA5M0G8ha98DZR3QYTE4SRqomVBfpir53K2SUEvAeTWo/Y0wdq/Pfl8XTVBGofPKxXiYUG6kDLSvM9fQaGntABBdU7BdOsqqfzybkFYGSzc0g6BwR2+vcgxvEfBvo69R48gYMGJo6E3qYU/Qfrcu79YeZfBDgQMF6EfU0EtdIpWHBpgQZ422jKnjFhBgrGMq4AeNEFbno3Adw9qQZg+QkEqsnvBH+IMEunkSkHio9yr8+tYwYW3TQRj9CtB5F4y/9HLT8EylVIZPr5aQR65WapTYlJBBQnyoDpiQMG+aiIa2b/GwSCOd/5NL2hB10PPISUsUkEKHyaUR45+QfR90tz362BB9HsjR3w5Z8EUL5PN6f1xwXss8UCwhVvBpi9NSLrxW8HqeSBlI4iLQaxn17aIhYxBugI2psnvdMFBAKOkmciHQZY6arfXzHZBTvNJSAUeS0FyJkMTiHB0wZTTI1+J2F1BiG/Io84nSkEwtNW2ZrowQW7CDpeHwfdA8sFs5Ve8U0EzD08iiYSIQbdHEd1WkyPBkJ9x2J4fW0EeW3AnlUUxwT5EutwbrK5BRkupjRMOSEGMGIfIdI5+QVmOoYFiwltBEzJoazppTkGYDUIYbn5+QYMno02g1lRBoBcsbYIDakE8BocmGgShQapSXTYEszdBQ6aIqiTde0GKMpWSE5w2wfuG9L7zljVBbtGMp4vKSUHHPnYjQomUQVsjYdwd3LHBhKUW4683gsGZe+phaHBdQYT4PC26Zl9BzJQyUv4WMUHhIBVaMyl0wXvhcoYT34zBzpY8CVkcHkEOFc37C99QQVcfKpXPWIJBByPu1SyTZ0F79x7XR+huQRyXpMEl4XnBWYmiIzCNhEG0TCbrpqRjQYeRWBFTX0hBPvR8ur/+UUFc3WpPZLxZwRjOcTCEV6TBxGm7MC0KcUFYKmt6nOQRQbYs7Cg9ekJB4Ay73VY6fUHJQujwjxyTwXTKK/c1jX1BQfsq3PKIU8EYRnqA13jyQBC5H1XY43FBls22jq8AVMEoisPpCBtGQScrfN4/lT9Bzsgk8HaCVkF5vLzCRGdNQWK2tSZF57NB8/ruVnJ/UEHNouFZbHdiQdH5uAiWclZBdtFz9kpBcEErrJAYMW9VQVCJNbtKNUlBUVx3oYxJkEG8WSRNbhlwwXZog2tOLypBjsfOH/AlZEEqU3ovu6tRQWyBdj5Tom1BmsFOe48AYcEXZIG/i0aEwabd4HYp0J7BrRg9qJ97MsFTyQVCpHROQb3yZKV/tz9BpnNc4UolZEE2lL2Gg0M7wUQOsH8sX0NBYMK2s1WhTkHvZPpfeahOQerusSAGd0tBENdSCai2Y0E3Sf6jIWRzQTSfajW9RVpBR7zrkvZiesF/rfj+nCZOQcc+TCWu40PBCLrCQyCrg0Gii/VN3LMmwaK50voxJ1xB/J1aFl+wS0FZP2OG4XiAQceTTjQ/z7tBULdWmPFqScGuuEYyideGwVE2wCagwldBeGCBMuutakHG9PydtDliQd1nKy0PME3BZuzmCwRqN0HowxrdwPBmQfxeu3lYsUNBq+lYXBV2iEEGq+Ey0ONiwZzFcgqitnHBsm7hsGhTjUGjlwRAKPOdwZJe1E6hEGRBYxdGSfKnTMFH3O4asqFiQUhSVJ9Bc0bBOSNCXMpIn0GhAbJlg4U5QTlCGuvPUV7BB+6XcKlUi0E2TcK5mFCRwd2pmHMFHXFBAAcx5kaoPkEG/lmlTN5nQbjV+8vFbEFBxUtlK7T9PkHE+uJHM+BRQWcIvXp9sG1BA8FVAYn6ckEajdOMVlCvQdyttmOs34FBsyEesh/BTEHB1Cjj8Y5jQeb4Nz7P8lxBDMR8tGpEUUHcdfzlqiUwwZ49LHH1f0bBi18rDVYobsGeG7uuq1NtQVq8viyCSIlBIlG+hMwedEGAiu75Z++9QP27epNjwFbBiJNQ7I9uXkHhsrkL58I4wcF4Vb4wYXJBFbbqWPzTSUGVHLYLtrhwQb4Y3DkvU1dB78Q0/zxfZUG1VgBrVEZDQaZYWLPY/SNBdsVvHsV1AkE2sGZ5zw9vQT5RTR7K5hPBwOY80vYrZEGMqatj5VpvwULVksl/nxtBizkJZYaYp8Fp2VQWtXB7wdInfoZHLcTBa/cyC8pkWEEajgnpqFZVQdj68IC85VNBCU+sSY4pUEFrReB6GCF2wV3VBb4hQUdBgH7Pjgm6XUGvLJGj6Y9iQeqqxpmw21NBor5POsxdQ0F5tfukd8RywScKS1ewJ1zBhB50wMcoEEHGAd2H7hE8QSDZtY1inZPBdJvuR1P0ZUFNq09fFq5jQfaS11+fp2NBZgaoqbnuXME1LkXB+jpXQW8PzveHBlpBb3+x605F+sCCVKQyPpQ8QQZVp1ytbE3BlhicL2LhjsHidK0SCihSQRhVBylv4VFBvlUFMcCoaEGSeWvCggtlQWSfkW5/201BjtH5dmWfKUHZr2bQfkCwQZe1PSIQlVRBC4Osa7BZfUGwbmzIw5krwSyShdQrnnzBTW2bhTxsbcEeTDXdGGNnQaNfSFM9SHDB9jKLVyGURkGwM2pexuiywWMfs9iDWllBdwzztJe5YEECBQf5BVglwapeqC6MjChB4DlWeQduhUEuowC48Py5wXST4okzjYLB6OL7EugfQ0EfZZVIjPdLQYMk43ebP5NB5crTq/omYUHU7bc9AgdkwVvlKmce23dBroUpmiIxaUFzRnerR3RXQbWXQbDAVHdBvz0c5WUkqEERcMQ/JXpQQYLra+UxJoFBlxLj7ZvyWUG06qAM66lQQU69bZSVG3XB4THZBU78P8HX2LAiUliuQZzBKzCe1ATBRnnmxpCWR0FeRmA4e6NVQRKpEbI5GnNBxxP9hplYk8HA6Zn7Xc9lQZxx+XbxckZBXAgV+9abYcHaO3OVoQVHQciFTqKexFVBReedxxSpEcFTqItXOeFCQZBtQc+M9pNByyb0KAs4aEEWHGgIfaxgwRPlJY9lYlhB8DuOFMU+WcGJ6nhaf7Z3waIV/2kJcGJBcEafhxLPQkH69R+sOOpXQbpmjdIAwGZB2TYtVCArUcEXmBz7d9BYQbBYisRWbFNBkJcXjeaZ00F03+mi3T+TQc66a2TpVmNB//ecHiX+QsHNvktKfvT3wKLs86q+qGpBNc6ASbImYEG3jBaX3U9iQYoD6GpJGXzBeqpUpr0nSEG59R8SXfKKwUR+fBoCXopBBID00sQJWMG1+4CYlkNnQVwTTpl9+1RBaIPdEieuXEEgNJAaTmkmQfDJLEymxIjBiQ5rX7dSf0FQ0tlzcHRRQfYUQH/F/njBGFGYZ6pfXEHHtFg4cF86QbBF7vcbkkZB+hXbFMOiPEGjBzFxA79MwXrflQBQQYHBlLQEeRPnDkHg/WFZjGxVwZiP7aSrkWJBrfDZGeEtSkHoubCUlTRiQZgo1U3ogVxB3Mi++ObOXkGGprIm0wRQQcjTc3PtNpTBTjLuhnDjaEG9h0jtDnpaQUJrf9cpUmpBS193mbNgncF0IDHSXus7QfzTdhpn/E9BYy1xEGUHI0FQH9RXJZh5wY2oSg8NpnzB0CYCnqXLUkFMlc+JzGYHwU44vETivnHB031g1YxFUkHqqsGDlg0iQZ2REGO2vUtB2OYDxOOnVkF4L13K+JwcQULd1GwLpkxByE+i7aJkb0EHJpElqMKEwVgQHFSUyFtB3g/y2UagYMFc8Js/uMRAQdKaPM6SyGRB1Gp+ssauNsGqSicccNhhwTSvumHcc2tB7WxoNqpqKkElHpgpNCBIQZTS47/aRTJBOh7PILqdaMGEdGcAL04QwTymfVR83W1BMmRNIu2gd0HBBz/7u7hjQYHisgbb3CRBSHUPIpK5PEG0/shP5oxdQfbV0TUHvGBBXFx71q4vrEHXAX8E3fdyQYBruYshzPHA6kU2d9BXWsHYsfEEZLBnQRaVoS9ggmBBl4bZVkZGVcEcgezqqwVDQSUwkZ4p5U9BIbPrfRbVcUG2r8nlmhFlQbYFsxu92HRBxmW2d5measGEb3XaaNw6QQ3J57/2unDBaPydbr7QX0F6udlcOZoTQXbbwbBGqFhBHzCW33ZEocG0bsYcMnNcQerPpT9EhVRBqaDJoaMD+cC2Mr4wriIhQRIIJI6myGnBQ01zpvnkQ0ETWV32Xw5dQWO+QccfX0ZBxjrNvr6dc8G050N5eKaSwcssNSoi4F9BBNS1uuWVc0F0dytd9fA5QZJCq/syIm9BQ8k+QCwpLsGcFUPBAZNkQcx/EwHJjmhBWuZvYQ4yNUFHFi9Po1YpwUvHSV3UfS5BhWO445YoUEFZETM4CKojQVhr3Dlc52LBKHq1t26GtMGQTC/gAmuiQQZ8ms9Gj2NB9n287Vz5ZEHsdKH6ubRgQepjMpCiFT9BuEfxVLVsVkErS+MZ9HTJwcg+4uKkWqbBM9Z9rLc8VMFYiyx7z2c7waKhQ3Rat1VBiLWTI6u3lsEajhR5tntGwY74exdpImzBiPAbbWfhSkG9JHzda4VcQSVGI/V9LhTBrgZI9t6raEEsManRGB+swW/1uiwjsRdBhpNFpKJeaEHE61cLng9vQeQpgts1n0tBIbTuwR8jXkGoSrra2siVQcyfBGVU8JPBPgjhujEcZcHW6+tWbaZoQXLWj4pYyVFByKV80EtCOUHWlOVUNgJeQfHVy0uxdkxBd96fKGHQTkGHsbrDTFaOwe6BKfGYYIlBoHTo7jpfn0FuMFiWHtBwQZdfhEoPknHBvSR6EqLhg0F7WqMZeMZbwaOvhzbLGVXBjPVWUZj9I8HstIiczgVxQVPEfHcNusbBeJah9AiqR0GGI7xwJ8xbwccdOLPMB1BBeftjtTaVksEPzDSUufxwQfJE2r5VpoxBkpe5blMscUGWAxoa4rQ0QQsZD2a9OjLBZ9+rvttjWUHByUeHyhtlwdRWBgunmmDB8o/2nbc+hEEolf4oFK1DQacYqNtkqERBoS1iuIJkFMHkkWPcpWNdQeEyUc2hToJBF/DGooDgOEGZ/DpWqbOwweDQ3FtVLMPAqkvLEhdfXkG2Tl27of9CQaTyvNWeqGxBVwwStGXsa0HVkszQc25QQZY5ngNOVz1Bf9wn3Xl8MMFbwOf+i/1GwZKD4DvvAWLB/svHVBZ+ZUELPtXQo+dswQcDq8zBlnnBd56NKTt4ccFSyOTcW0eAQR1S9BL4malBKIdxE7TzasFTn85FfURQQVVGt4/qKytBgJr+wRj0jMGANhavb2aRwXx42o15VU9Bpv5anwq3ikFh0PdSBPpWQRDUrEV0S6TB/qJkfc1MccFqD//hOWNUQdTRuAZ8nmNBNAFvxIigV8HHoBl/TZFDwWGDpjcGhFVBcIZJdT3RS0Fc8b18iadYQbXgXTGIu0XBYDmjKbSCKkHa3sTToe9nwY7NRNtPfFhBzKRKHJ/RUkGIcaQN409PQcNL8bYyH0tBx1xcONz5U0FWNYKEjOmSQbgyfV/izkrBoLcKquOCg0FWXMT0kWtEQW6JKhQuuCdBDKJxwFbpdsGSpOEc67dfQcw0zp/gm3HBdRApZBwlc0HgpV+HocZzwToQQvhjblRBX3HUWkFrRUHkfMWioCBTQcLKizArBEdB91m7XPmMUkH/VVCMSlJkwSWoyVvRM3BBRLQZ9ADHPUHO09o+bzcyQeAddY8ApGTBA+jgW3FEV8GIQZvHVROywQ9ctZw4Fm9Bghe6mcQkFkESV1uUtiYEwYwqzjM/fYLBB9OQXeLcTUFjL4ImAkdyQRnhT9k6gDtBoEC5yM+zKkF8k4Aoc+xtwak6MNohqE1BHXO+MUq8YkGP5kaRo1Z5wZ0EyY7SpWpBZiGe8U4aUkGCv0cFWOh5wcKeHoQdvarBPHTCsECeZ0G5GONW6RGAQVRlNwEZmJbBP+2ampy/dUHPFi8/i3hzQUYuXf85ft1BBsCkITFob0FQg+rxemEowTfi7i3HpGVB61l4oYnndMEujmnq8YePwWLGInRmwz1BpDFEt6/pTEFZPzpRWs0RQdgl69gkJ1lBqL1t/MGKe8ERr4XSg4shQSmGSsLS96pBwsUPk4z6aEGQldZRLPjSQDj2wRkbTHpBrN5kezokO0GlgDNLFA2CQcghhMN/msBBVmf7EfU9TUEwxbo6/K1lQUq6xi0q7otB4sBojhe7NkH1wGuH1GgyQcEY6tNsGYZBkJP22YfJUkG27YcXElKnQWR7TfvpYa1BpL7qL2n3UkGEvaqMmsRaQWNMiVPHhlhBBlOioXKAV8GkmcPtoyq4QVAJNAvLMn1BPuyV0uKrLEEy8Z35S3hPQV8Ozh2UmzRBwA9flaqQQ0FlwOvQTfJ/wWKOLyrqrVZB/NJmdNCQP8F6pIUcFIxWwQMDCK9VEWZBsxH5ehBTn0HTjTerh2M8QSBZdhOd2IpBwhwjXNa/N0GKgqAAuX0tQW0T/ZG0F2BBDZYemuQ4ucHHWqNtfIRHQbUJpzrHwCJBgNrQssrnNcGLoGDoVa9SwfN7CCQOkmpBNnW8f/RZQ0GfQHlqpLA0QTKvfDrKk2/Bd+ZrDmjUa0FzA9gaDktgQX4fbdYGv21BJbJ17NiBV0FUwY1LIMoEwecTairxn5NBgj80YkLmTkHmUIg9xHFpwWH6+i0ApGDBRKWgXs0/V0FoDnqYBNmBwbU2Y306a+jBs/WegaPgcUFUZ8ks3Q5MQV8/iQKh5FfBOieGlFG3RUE4NTuFnTFgQWFZiWb6FWHBntphSZUDeEHCiunnuaRSQWoMI0YbS2nBFDW/lxrSSsEqwTtSS1VtQakKH6GGPjFBL3E8Xwd5RMHaSqgoDg5OwRr6CpW8BGRBurYWlVlSVsF/nYEpG+lUQWN4tOf9MVRBNEeJ2CraSEHeVaTv/3prwarixGT98yTBWJoFnEClOcFeOtmeQmdxQU90gB/Y0UPBDumyz6K6Z8G255GWp9NuwcX+VLog4E5BbfALLKxNREE8GwDod1xvQRLalmqxw0VB7lv2/kZ+W8EaD8ui49iUwR+Pf07UzlFBEW5kMPGsbsH8NQ0N/sCWwUH6DNOBQFNBYSgRtJwzZUGZfL3YXAO4Qd5l2sr/NFVBpLMIyA6FXEHLGtyaETabwTCam4HEJnBBm9DAuwcAgMG3jzwD9gKRwW2M1a6KjI/Bmvp1xpokZsH9vkI++w07wYYNzBOLTsTBggBnoeOuUsHJD86S9LOwwf/YzVcIclBBWpT32rPyW0FwKYgM+bJRQZk1w6kXc29B7VQ68K7vV0GjkEl7aXpaQdr7BbqjjF3Bdpcm87DdacFpKsaWCHpxQQ4PjB6F/UdBx5shv/hPmMGWhUE8tjBdwVha5d/sipbBrb5Q2AAXIkFCshPxp8dswZkPz+ydpVRBLnszUiW+YMFStKxZI6OhQdFr/lVYt2FBjfplHCmcaEHVx4WEYWJ7wSSmGREt7AxB8NvPNbmi2kAaih612buCQRdW5D2nvllB7BWCKBg0S0FJAAcUTUWAQWUkEZmZiEvBXhpeufp2u8EYVXOSv+1iQe6nlCSZrGnBMMcVRWJUDkFmcxop0rBrQQgcXywzZWBBI4z7XgyZQEHxaQQuCqRRwa4e2dWAw09BYClAFWf3f8FVaA6h999CQf5fvE7wZUJBKE+9arhdYUFQVHrF/CdyQfDAQMSd0EhBmn8p70PCUkHAMimRKnA2wTJUmGZuNiJB7NvFxt76NMEkDJLHKUI1QWl3+04yIUtBj3+U9enxK0F7Ber23Kq2wYjCMp8cl1lBtESJ+hk1O8G8IX8kimngQQHFweSlV4ZBbqc1BQvkVEFL6Ir/MkZuQeH0gUEIxURBDSU1nV7sTEEAdmIrU6x2wSWXBaG61nNBeczg4OdUbEFUjztbj8hfQbcxfTWb24xBWG6vLmNAYMEjx8BaqI5eQWNGMYBreFxBMNZIJ6ulTEHd2Xiu6jyAQV30XKYvJ4XBLLaeiRPuW0El8JCcxbVrQdBsMQqEHPJAdz/Nh9SaDkE9ahMXA1thQaJ6VX5ApXBBSqpmvdaxS8GozzH03jIHwV6urlRny0vBkXM+tNJQTEEgkliSiw9cQQZFiIp0TnZBg/zUj+C/j0HkPULuwx1zQVBecPxPtitBnVnemJ95WEGE+qN3YS1IwWUOurGpi1XBeG080UQjgUHjPAX2j3NxQXDB7Vy2LqJBggfMLcQskkF6qMUZ5KE9Qch+CKBblwFB6j50sSKzcEEGVFJnwOMtQWmnv+mGWG3BuuwDauOvmMHFZ3oSiGZIQeavVuKgQEvB1MM2iN4ERMG+h6BIpo9NQYSKS/aqGldBw4eYbvwGsUHgio3TWeo6QSbYShYUOERBNsqGcpz7bsEoX7Ab6MJLQQA7ae1c3UxBABXLC3ZtQME+R+y/+MRdQfq27FMrHlBBGpgw2E50CEFwE0stZB1PQXp0hI7KM6JBrnZVfz+CWEHn1BwAznNZQTb5+MCW6yfBApePDfcxYEGvZggjKwnjwKPtc28AGaTBYK186yvjSEHBXGDWK0czQZWHV4k7w4BBlP8WVacORUFQxl0zREBLwUnFKGesEXtBqsaXzdq4bEHiFaiuzLpmQRUXLAakG1pBElikGKYQgcGYf+J/ffYpQSmSMFNo4FRBtj3Jbs+ofkE9NfR1CX+QQURPQLyl1G3B3SReM6vVU0GJprumhG1RQZTS73ZaVzdBbgcZZG8mM0FpjIJB381swQhuHEl2thnBs7T2GycuV0H/Vd6JBndnQYjq7jEtGnpBEKv5WsjgkEG1Az26D/WCQTD3RJbDoj5Bqv02dmNrV0HYTS60SQNuQfhufYrC2bhBVu5Dnm1cVEFug4K2oQMHQUD51IKMml5B4UKDYC3JZEG659Ko6rd3QZB+8K+RgtlASBS7i4TwWsF1fKoLJ6VwwWSENogVl0vB3WFRqCnURkGX/VLrJjt1QcXUAKJ9aVRBep54rFRTZ0Eus/j84QZyQXwQQY0IYVlB8Gt7dtyqeEH+L2NfxSNQQXSDTqfmT8ZBzSij454mb0EdmTgkDptnQX2gzO6HQTFBQxzU5jXVRUGCC7gNhPI6QXqf4UxzDyFBBLbRZ1MdTkGY3+bxgGhkQXzJ6ELBaDJB4luBOcvIaUHNv3seKVhYQY3BEJep6ZRBDhEQz3IQVEFD2S/FA6xGQXHkAsP0IJ3BPtNcs7VMQ0G9d3PpHtpaQdQp9DuAvVNB1y0MG2SRakF/U9DJrC2gwUGUEUWiEjdBNmCAHrLyVkGcWqylZMBYQSCNJbLG4o9BWAdGvb40csGsRrjGPoFpQRCCiElKD4hBUF/Ov4EwR0HgTcVhGaxDwVaiV2YQ+mdBZF3TpZVKM0FRP8m1K4VAQYUebDjCpk1Bwkwf8nbsU8HV3WNP1ZRWQfIau697ZFLBJQz9SjsZN8H7NZrqTUXRQWV+C/T/45TB5vetLfWVpMHA3xB4SlkgQaiSBT0nzFhBvb2rLWpbUEH9HkKbjiafwcuQlEpE41pBGFl3CxsyVUGsHDpdiO4yQZh9X395rnBBipZtO8CId8EtgvtznEpIQVnUFdVZujpBrKYVkVeIM8EvIrCQMoxDQU1THwf5i1JBsNlJTMcWNUFIKuBJrdFGwUJ5Se3Upl5Bmpt6ydPdR0H35S/pv9ySwcAN+GS4UmLBXXFzt82nZEGsu9CoTj+AQX2jruPtBafBNsRqu2gYX8GlTb5vrilLQRguzOjaGmvBUEHFvwM+YEGBw47pbGdmwRov03dYPTfBoYMumwfBQEHWkZtzVWe3QViVxAt4YaTBxYXfI5pZhsEs28BA45+dwe1im4jMaRHBu28BvlkPVUHZBNRbBBnHQZTCXRaXjm7BBjdTXUPXdEHoKyhKdgJWwWxAEjHHcjzBTp2WszrVQkHyPce9Jo1EQZbFza7h81BB5mclJTJPR0EYJ9OYWYpTQTa6pEWLV1JB9gcpleiZg8G9xJKRfy1hQQ8lIpeDS1FB47RbSlEwVUERT/5BkQ89QXAT+7JMJhZBVn0Ljh0JYUEQhMzTzQzuwB25doZnwFdBYbiCqlboZkGYvx5k/WSNwfQ8teAWNjNBAYcu2LjcgUGXCuA+HTR7QdDW6MVStG5BHEsrz7khgEEsk+R82fkwQbvyyurqP5bB1iKU/6LVU0HNpQ64Uh9VQagj/+w29XXB2tl5pNkgZ8H2i8WrneNzQWC9TwaO41jBeEFpmXCnd0HHW186sI2RQU3AArUREEBBnH8Pl0tocUE6DNzD3CRdQcBdUbryil1Bft79uixhXkFIZgjrs6eBQQuqfeWCckFBhKrPVZPCY0FzfKX0RuZCwePu6jvzeWJBV4TmRWs/QkEwNb1Fn4Z6wVxVE26JsoFBsbuojTC0kcFkDhAL/kpdQT/CACFEVT1BZwv88pC4YMG9ue4h7IJqwXJEsxpT5SlBYOKC8oBidMFAlT511ixOQY+D0PIsNWDBznI+91YbQ0EaxGubC1FWQW2Ja91Y8SXBT3QkTuoHg8GrZL+rzmdYQXy2YdXRYEHBEBfAb2bDHMH7iW8Vgb1KQUUhOodsrWdBmFOfqf7TREE01na2h5X/QLF+M5LyLkpBCHngn67OHkFCnvZRS5ZAwea+Jasw44LBjGMbWD+/X8GYcdBXchRPQaatGv564YNBdO4ACPpISMH3dCGGaxZPQcDQchqXtlFBqKA59AhpM8FPCyQNxoNIQbE7VQrEDnNBH3BCcgTHaMFcj/0siikzQbSvxzdOJHNBqlblLJ5yRkF0BpjWH3FzwVBidcZ7+jHBxRE7E6xiXMH89NOUis5jQdznh1ItS5hBmWMxRHCZV8Hm+XKARq8zQTHXLV12MHfBJFJTzD4RVEFIfiqniXloQW7UdCYz3mlB2gK53mgXYEFDAYExA4RTQVQtHzhH1jlBvkmo5eEVoUFY3Amn7aOAQa+AjCNfakRBibXUkccXg0ENaAuAD55KwYT+vXLPdFZB8PtHUNIadUGjH8MJmVNdwVcwg1avwVrBOkzSmlzkZ0Hh/fgObB6DwaX8WvRIaFDB+7w2IGiqY0EAlHdIYlBIQU7glhI+fl7BO84bQcCKwcGrPSfJN46HwVM14AOuLIRBAKEEe0Tkd0C07KCXWT41Qd0Y/Lb4zKfBZIFwg+7VN8HlppfzryddQZqjiBOnZD9BdjJr9FBbRkHSrrQhx3WPwfY1xGY7L1VBDJE05lBjZUEsK9vxX8NAQb4h4b1VqT9Br/oqh9GaXUEjaRG0pUKjQSAZOPX/+HRBvQ6/e4Y5UUHq1Vj9s18yQZeNU86HGVHBDk5zKMOwVEHJ6XF/j/UZwTA83desXlHB4q2qa3ekSUER7w6qpypHwTf3kss1Q2BBCFYQ5bjQRMEZ1YoH8cdXQcRByoYCrE9BwpcXossrU0Fin2CKdC1OQcT0TKAAOTlBHZReAiaCaEEewEpQxIE6Qeas5iO5PDrBsgDrZ5qpUkFsUGLi72BxQaIFM2wrrABBCPOSXQLWSEFjT2oJ0e9lQVP3FOgM/j5BRXU3aDqbUUG1ZO4c4KJQQTjs/svjYmZBoc4BmnZvYUFqH40MDq5+QWBJpHKpYGdBTkJX4WIMOkH1PmCnU6F5QQKoErtvRWpB5Jx57CiAIsHS+3a4YDgcQbsCK0OCMIjBQBy5qGD3Y0EGtZpfMzdxwYLOpjL/THnBkCGCR4RsIMHpsMpmvk1YQaCG4FmHeltBnyVmvhvDNEFOZHgF9khOQR0vir8TGHRB17qYYFWKQUGSddV1vWtIQTuO6TQIxGrBhcx5o8wCvsFWVJ3eu4pewVIdEMV0SF5BpR3wZ51ob0EBmAYAWidPwRGjG9xJ71XBm83kq2w8KUEhNjepq8x2QTwqYfp9FWXBltrqbW+pU0FkWLiTDoZBQQs03Rq0MlFBxLmfTTs4pEFpe4SFsxFFwXkrHCi+nKTBZ5M9VqgLY0HWQAQ/RQRGQSYafOli02BBhkLX4igCQkFbaQKRJqFQQaKJoMNb3TZBUvDzS0WYU0E8rJXzmahiwS+1NxMu0T9B0mdyDYqWZEHIHpm5Tky5wZUTd7aDKzrBKSlbhLvVfcEdxfw1Ma9TwUzEi99lsV9BG9K32ueVUcHkS6eVJBtBwf/UuknqTSpBdYOGY/BgZEGtiHI26TtuwdfkWOPI/o7BwFyckJDfe0HVBLiOcUycQXHJnu5Ld5ZBYmKhSysjh0H7S26A0OxkQfQ8TwiV3kDByDM0Mpn4HEHMmi+WAyBNQYkNpSuof3BBAAZgPLQ/aEGtccqdxPCHwc2i8/jfwGZBjG1zrEy4f8GPsfvdiStqwa7L8kXA4LrBnh22NJvHckFExQS/YGtLQX4aYDGS20VB8mU0hudBUUH6gRABYUVjQQ4VlzKo1V1BUAxt83OMiEFO+O4gMzBTQRCkYp0PiTtBEaPENCrInkHykM6+yUNYwfv5g9eWattB1RkZ6/DvLEGoqQLCb3ZZQSRdhokKSEhBDCxprsZ9dkEOcFfBIPVTwcdi2rA3sFFBKPj1xG1oaEHKB0xLGFhjwRZHrEPP1EZB75URdtHAjsHx+yatYLtvQSJc148qaWBB+yW4R3k/X0FAphYah5paQS13lvYwDGtBAMV5x+s7UkGNUWEXqcGEQYr2Q8qF/4jBBnNRE/6LU0HqlKLsh6vHweKCFAntKULBP6Dk/hbGOkHogZJ5dPFQQVCK98SZvHjBIz4eiK1KWkGM1FtLz9hVQVqOrPXjLElBacqwGYN/XEF4CsgACqZiwVpJoQaFKm/BkxzFfcGzccHuDXGOSZtLQSh6E8x4GkJBWncGSR8WVkFAs9NeMI5sQaTLwFR/qkZBYwJ+UlbBSEGYz9SxnomHQQqXPcc2vHZB1ucObqTve0FYgxQX2hB0QdVSYUWT4IpB0rylfuerYkECQdn9EBBLQUz5wC3N4S5BB4RQlru5WsGiTlz3ugxiQTIWTYM1MKxB2RFlYXXoakE8ut9z7leAQa8zOoGGUcfBs8SiJ4zU0cEGbz6zfsNRQexKmTMXLnXBbjIoTbzJmcGX+6ldm3FJQUbg/4efvYxB/mq0anWlhMEKgyawdVJCQfYyMRFrsTDBalx29GYWZ0HISl+tVSp3wez1wSB10qnBOFAWs97dWUHdf8wyfI5jQcO+JJgJ32rBFGUL6VJfmMFkjO58W9RVQYY7Iar5uVVBLliH3AztSkFNnfs9CMuZwa9X4gX44SJBHNojyEH0XkEiAXbj3+9bQYWWtLp+fYnBM2hoCsPVQEHGNqm6F1cvQXPl0qv4zlZBTUiVWz99ccGe6H13EzVkQXZ2pDsYslhBZWOBhMHjkcFZkk8SbnqLwYESW/2kGjPB+HjNBcQaocHaVAkbk6hUQXS+JaFpwX3BdpfmUzC6ssE/HGNsClJHQfePPJDgLWVBQAGD7OJXF8Gitt6gTIRYQTDwLemdVnnBy1KIu+0qQEFWGbr1k5RFQYJCQJPOIFZBrDnRP3PebkEVy+U0jAkwQcEAjtzTVl3BSoVtiO3eZEGOsZEsAlmjQW41jDZ8Y5zB4ibGWMXkSUGNgC40ADFwQb6eT6/jBGbBl28US1PBe8EWAIrv1LJKQXKfiOQxPyVBfIx+0ULfUkHgAHXGWictQeFtLlURWEXBxneleWApmMHkMbD34RRCwQMLRm1bRoRBEsUr3o11WUFzjhHbXb5XQdH68lxJfpHBeE0SuAOWcsH+zocRuFVZQTnMrUaVPE3BGsf4u9j/aMHcPDhyWQplwTWK6qDp1YFBgv7hB2vCcEFrk0KHXWplQWRlLOGtCjtBmoRWQdpoFsEJVZ7+qLJxwfXdHfMLdXpBEI9EQeODnsFMmPBaS68zQX5CG9vXMlTB/odl6B04U8EG1XbeViVdQWUNJRVV3VDBUlAwL52oSUF2IPvu45O6QSStN6YNWUvByDXGdCu7d0HCfRDypnNVQes/KiqHNV3BGp8nsGqdVEEE+Zi4E3FuwdwLypOxrV7BqoW3IG7pdkGUez6/4Ww2QWwKniUPFV1BFDuUxOdQXkH+6J4WXh1JwUNQ45f8wl5B0BM8Krv8k8GGVg/t7b5QQeezBmGTxV1B11p3l+vBVsHq+qUYWuxZQYAwEpfwiT9Bys26dE0IaUEHLzDjG9hjQTovyc3cgUpBn5YoPprlQUFMJXnog2hYQUHQj/+SEGhBGP9r3Z6EZUEoPmkhv1B6QfOX0EXPOH5BC30UZboARcHcqGjsS0t2QX43IPxjwGBBkOcEDdGEOUHYBJ6SWWBvQfCzSm3bLE9BZBHawxakYkFs9WA80rFmQXk4C9Ndr7PBiOge4sRQYcFuQKGO4Sl7wdiZD68p3TxBh0aCrUuyIsHAKBjL05NIQZnSt0qomEpBa1Tg3wwHMsEc0jPrDipFwbU79vbwMrZBVqD+ZlOQUEGFquL7nT5SQVvXNpgAJ0DBhozK0nXRIsF2Wp2kTsZJQVr5tdkf5kZBWksF4dRYSkGQvalvBT4CQd4s4RltOD1BgOQTtlOXOcGAk++Bf3F4QT4qQO1KnmXB9uGMntG2LMGoYhx3Ysl6QadZnhPu3CpBc2zgS4QmYcGtTS0cVJskwaS99FqtIS1BOrlf8FAkZsEsD/NXKWyRQdjcTkxZkTvBCEC/S5fGm0HF3wAGiXdkQWAHvj9QRnBBV2VEMHcpZkGiRsKYklArQf4nQFn2llBBJK/09miefcEqS77gJLpNwTpo3GIkHbtBgrtEHKmDYUHqHzNJfY5jwSuxit4hk1TB3GQxqDu1ZUETiroUrJwtQext9fyAxVbBRDHt9VGrd0FQMaEtUHFJQZqNoFu+0GBBgsSp81aAXEFOP6/qMRJQwY4+2E5z527BHCtP88lXL0EBcJEX0TgUwbHqc1a4e2tBV2IWS647UMFsNiDDQGJEwezKfY1k9YlBlBw6TCIygUE4qdwdtOqJQVpKV67GWT1BwGS7coLflEGqTW+lCBydwSgx5jBQEctBihxillhlY0GLZQ+Yuo+vwdimDbo4fVtBJhlL3OGKlEGYC7hu9wusQcs5hFfxe1bBXmFJ3SShasGByouB8+tWQcqs4yxTybDBsoRaK0yGKcF9oo3UGQeGQThsu60I71RB6TJ7W8QvRsE8lK7Yc6tVwVx6CBFOZp7Be4PtAHPmqsHyVTuzKRYzQYjqaeMknnPBhWFFtXwuckHBwpKabh+RwSkeEa8PIkVBGEj1teSFIEFhgsEl0s1fQUptDt+hpWBBbLPLnuiaccG4/5GwVbdyQf78Fs9MrzdBonHwYJVdgsFOPZ4fx+NoQYp2nwFeRTRBQsS5YpECYEFKLNVVYn9eQRwXVhol3VhBtKbdENH3h8Eauto7ztRUwYK+bARVblFBCuNqP4UecUFO2SOLcbBmQcBr6W38Wk5BGqlhstqDj8FqFxa5qfhbwbrT9WrGXLlBZsawdyVtW0GRxc0WPIFtQZGH0SXuISdBfcEoFcLeLsGiQ/FN/DNKQc/MrIYnelJBASh5l7kSe8EigtTpy/ZFQeVyX6GU7F1BsIb7Xx6ZVkGCe8fdAfdYQSgLiaEs10lBdnFM6F+pTUHyuG0pUaBBwWUKFK25YTJBMLTkUHcfYsEalJsGtDBrQWRFcBN/pWJBjAyPYEeQYEFW0fK0UKW+QYNrchvcejdBSUsJPbmYFUHugsIPC/jEwQyX2DnCL1JBWeMrEeaPVkGTxKKdZCZUQfJsjNFz+ChB5AbcIKGOokEcn32jzfZYQVDqhCzXnHRBrjhwF0JnTsF0jzbXPZLzQOVMzT7/ErTBojVhQ2rgUkGmdHwW7qhQQQYDhFjaj1RBnqUETWPog8F9xOq4ECe7wQ80gtywBWxBlkrixYMXVsE1gu4Qtd8twfhYgyvXdmlBiE79zdrSVMF47uEuE35WQXqExb00/1JBetaMFKJbgUHwAvOIgutuwcxowo23+F/BGi+NRtIBhUFsgLTLUYlpQcEbXO3neINBdo7+v6Z4YMHsICkioORSQXJd0Sd5YWpBARZcvry2U0FrYN9A03RQwdalD1gjJXBBk4QOPvhrZUEI6EfdP6REwfkNL66tLzVBwtUm5hwscUH8ZRP/nfYDQXoxwbIPQypBRP9OY0eHmkGurZilXCZTQaC0h+xk6C1BHQJzCwKTZsGY5oVdb3NtwTDBET60WaNB3BshInzaYEGv8KAc38pTQQQx1ztRcyDB20f+/B6wiMEEop1DbRsxQWZu5xmrSXjBi1kCXgU1Y0GEfc084fdLQQ4C6DhE0j9Bmes1bOUikEF8EPgGEI1JQVqq0qU91VNBBhw77N/aYkFoy+i8YmnLwRQ+wCvsmprBfYW4UCEHJ0FAwSvMnQ5QQfCIx73YgJ5BSsG3h/PKXkG5cdA/06hfQV3AtuRSR0NBqIfRzRy7W0FRE2+LVuVXQfaYYHTNpz5B35zpCzENUEFCdLf7k5h5Qa573CLN89HBYTqanLgPU0G0xOBot4BTQX9ow7TGlG9BEuJFI7dwW8F4Ur1jLfKWwaNJLeiZyWtB0dvYklOzVUGoORnKYpZEQaj1xtNhVXVBum2iB+VkTEG65dCtBNxrwQZx3N1tIpJBCyNEysFIUsGiT/BdS9GrQaRkgGtbmXRBhSF7JG4PYUFg6aTD4UdtQdXhblawW8bBHsC0IlA+WcEX6noMjTlAQUKrF1UTpWVBsF2THpFdZcF0WdysYZUMwfYbO7cJmGZB+uZIwq/kXkEqFXDJrpJXwaPBin7DRGZBRMEActsLN0EMooOALOkuwcHGyZ4U3kpBwcmcMvOoR8EuijRp5bhSQT2B81+WgWjBvQ6WQIPTckEFevmEfu9nwbnrq8WKNGRB5oDycyQUJEH12EXTLaJqQXl/jlQiAnlBI8QqVmHcOEEnuN3phZ16wfVGn1EDTiLB+nzdGU/eFsEJ6NufEbB2QaSsC7cv4EZBMG/DcyCmMEHmGVncl3lnQZHSenomWGfBH9+q14BYtcH9agnoY+liQUFkaDVqZDlBtl+WAwFH1EFAiL5Hudh1QRbutFfrE3tBoX2FVy6GLcHcRaIGePk1QeTVe4ogW5fBrnzmDG6ZckH0aNOuwJN4wX09GOdqZlnBd+pub2y8fsFyEs3p0U5RQZaVz4d+xIHBTPNfvn7mRMFO1npdYuDGwW2CqHP40VTBtzBGrU8rQ0En7cGhfjxeQShduzmvr8zBLnM80VRYUkGMsxF01Fx5QXsKB86TQmJB/jfU9zg5XsEc+T4L0kETwR6goXOX7G9BYmmdIP89dMEabIvKsnRwwflOnhsQF2fB9zLZlng6vsHP8swJ409RwQyuf7bHQlhBnp0rakc4NkHG6ePbnjEuQTT0Q0afZkdBFBXmdCl0SsEEw1iMCmxxQTuZ7TRjdURBFN4hgOqeB8GULCmHmUNqQeBmfVxUHlBB3Dx4NwDkW0FrarxheDJXQSCc1pl8nU5BnFBxqyaCUEFHMT1RwZEgQUM4MZD2O2lBjqQM3t9gSkGj/uYRjcpnwXSzR/1cl2vB0FfIpYPLHsEjUzn/hSRSQdDuJASFHWdB4CVykCRUU0Fuzcgef8ebQVKT/99TLafBuA+wT7grXEF7i8EBghNnQdpKVmJxoEhBB8xxu1s3PUHeBdnaO18jwcoS6tH+DJ9BFuJBMfT1X0F+C+/wGCaHwSDHPykcoddAfo4sMuZlNEEykaX1djBBQQrO4RsWZo7BupJwvD7rWsHg/1JWe5KUwarLMOvzpGxBvYcYogGxUEG8U4mzj3h2QbpuOqso0T3BhuGJB+MfksHU9OjkHvyTwXJWXVSA4PHAoqsMJDZ2hcGaODMcRP9LQaC4L+wjrOPAQnUsATeNNcE6gzVcysNeQXq2XsrzTHDBhGM/VDUbjkFg74cR7GB4QYPYUrjQEG9BmO4JIgE/akFPIxkXxi1NQbaBeUr4uEtBZQDZMQSNMEFsFGpcOJNjQXANiB8zErZBihxd+vaIWEEudDv7NkiGwSxeHrQwLX9Be4YoU3VncEGQ4/B2TkhBwQORmiOIxXJBzr4GN55LsMFigFNHl5pzwfE7Hc8ELJ1B6qUUQFStMEGsnIrOEBxMwUOnSpvwpHXB6NNBJpuHesHSnxdsnMRMQWZxDZLiyz1BaItohnvEEMHn8I/z7LODQehG7JBPbFJB3xVdYvAvgUEMpN+mAXaLQSOlgUwM2kfBxlu0QUcvP0F5xezFX2ViQRaGvfb4W1RBsEdprEh1PsHmr9fMXZxzQfRjfQTp53dByGHEnQEvW0EakBi2edKAwWim0AnSJL7Bf17oZOAALUH0VWiDIsx5wcwxVqk/NTNBmpACh9KMhEG9kT4enHdIQfcGSfPXlzNBNTVsJKqDocHAEJNqi3MhwamNRZ2XjGFBFjO9d5G2U8GXYyAAbllgQbnBXMYG7TlBVaQPyVTAR8FeFpENZ8VYQeWvvZfqD2JBXbc549itRMEoRIp59WdUQf4e7WOB+xdB+ayc7z0wYMHjU0pO+WNnwX4aHWoFHXlBcobY+Lobb0Ef73eNXmwxQTo2/nR0fX9BLi7WT+kmYcG6dDRGECFpQXYGMHu78WZBNKEana7egUGi+sK7VPUqQRrCxXnDf5TBOGn8I0VXacEiLYUBTetOwfh/2Ph0gVtBN7qa+V2EXMH1EPZ7ujacwVyXJEIpsDBBu2arEZu2kEGS6C7305JTQXqO5RlfEF3BsMyh4a5HSUE/QKyBfobFwfkhJu9FdkZB/LRE2V6BZEHirDiYohFywVhIdWpN1GzB7BvjTBmAKUGsIQDDHL1DQa5EzS9/KjhBgXneY9HoWkGpzPEtpAw1QTXrhrY3W6NBgmDX4SRUVUGfPG73xeEyQSBt3Y/bzjVBRqbbPhO7V0HbAbBIVTZKQZU7WZ/ssKzBOBZYtBpnbUFIE46cmcttQTO8UQVoxjjBP9NMmyP70kEWqsAb94VvQZAAQWPoZlNB0kDz0VQORkE8RIagit6AQXJhfc4SYStBpJvXJnYgckHshXQcolYHQZosynkBzoTBfhfrEFxeaEHi//Mis21SQWqNhpJUC6ZBYbLakzWKNkH/3L+xGm08QWlf4v02SUNBkMcElq/7PsGk6/gBQhgxQQ6OpQHQbWNB/24R3S/GL8EGX7Xi7MhwQep66OEe4npBAqKR/eHhLsHHhTQg2O9WQfVx1+BDJwbB0lY+BkcNYUEg4q72J2ZFQTCFHN1QeHxBvFbwFFUx7sCH6WEBTGFaQdkQSTHKIGVB/qPW6mU2SUGIao/YmgxDQb8U4eZobmFBWdrxSgHueEGM86zqa+vBwYW7KBQuX5VB7sWx2VVKWsF2cGoFqzp9QR6o8Tr5RXFB6s2/+wAZTMEEGRub4cltwWrVESW+B0/BP9NbaKDGWkHIEP9BHu5jQZZw9abGLmRB0Gszy2FkQkEK35mWN/SBwVSoE/HIRBpBmVMBck00SkG+0Bl3GkJ+QSiMVcfgDi1BNk5XqGztZEFqbcBtuCJRQYguD2Y2NvLACG8j0jG9cUHb64/8qtc7QdCNaAYU9ajBDBUUYNCmnMGED6AQUCd1weBDR6/mBmBB8cu1+o9uWUHxSgNIzWagwcg5AWNYnFJBYHmD2LIQCsG87MLFeNl2wWdRP3VpT1tBNAqrQzOkdkHIx0DoO3hwQaOQhdIezUxBg0R+n2AEaUFtjHJeJs1RwSjBVskmM5nBLbhnvtuOT8Evks0/VEVOQbCLusiQ9jNBUjCOqg5RLMHkAH0mCqhpQWqfk5alV1hBfN9WEr2hg8E4LUrN4lFZQeA9Tfr9zD9BUL+1vHfobEGXqPCO01k7QT8lPaIVWHjBjgVj5PgNdEG4DYZOWEpTwTV1wZETKqVBXiQRXaWeq0H7Af5NY5BCQVfED2z2pDFBIC3qf1ABXUH3othFxHFZQUa6uhVrM1tBBy1WEp9zekG6PoJcN+RqQWsxPPTnzDZB0MUjSW2nnEHIX83rxVRbQTlQffdsfV/BpPZPdAu4YEFr6+9KfuBUQbODWUUvJ2LBxY++DbYHfsFrgw9zmahpQclARnHEVHVBcBynPt2aUUFaqAQnHLUtwZpDojs6sVJBRq/t9mX1jUF/ZPP/FyBgwVRu5jzBXzpBryb5n2LqmEGQUTSjd6NQQTU50R20HV1BM2+l8oGeO8HLViUi8gE7QbLnhmsv0D7BOCQAGfw2UsGCOBTUHZNMQZ4TuDLsW1dBvZPtAitpaUHQh9q09hlQQRC0E0BQDERBSsV83CT9psEvYv+D1AM3wc7klnJbTWJBpHjBBds8UkEbn//FlgM6QZcHzOB+dmHBWNCpv+63VkGhLb2UGRVlQbJtYxcYjE5BsCEnW3LVmMH1ZL+YBjpqQaZXgteexELBeRK+KhYlYMGAWtDTNesJQdi6vG4AX1xBLJz3QgYJTUEwh11Ss4v0QEB8ipp1SVhBjOeC8SDVpEGhyYQt+adQwbr8k7NSPDtBhAsATj9AT0E6ocIQ8l0wQTqjXoT/ZXtBRk0Ju+grWUHArJlxw85jQdLo49NPnUJBqN2UFFQqYUHAYYo5MglZQWKNBOe6tGNBG3xKCJZcVEHum5vn3TVhQQSYwWONTEFBIGnUM/9+XkFTvffl+QuRQZReH8RDellBt65pL1W1N0GPSUpM6KdZQZX90PNhbyzBBAFcdDtyVEEJ88R96bduwdzHd+0YyUjBtJtbxQOXUUH/22ZI4HaiwUScdGw38kxBiDLqG0VgaEGVkDqfZzuBwW0DL3btj0LBFqX+ERrNdkEPTJtmUK5GQQLYo1/4oElB7IkU/MwvgsElYJrvYQB4wX8ea3xtslXBkgPrDkurhMGjqgyj4zdpQYComZ9g3UlBSqIoBQQ0UUGtenqZQflBwYibpE3arQ9BlPnsNPKRJkENzM4xiAeOwZsLYylqu1VBvbrLPzxGQ0FJf637dTasQdQZBYO98jlBqPn09awWA0HqhmhG3WtHwb+TAUpepFbBKVjlrp3WR0F0J7hu+7FQQcXdd8p2WTRBaK0OAYjUgEH7vY304AGXwdyjM1kh0WFBwDwJhr65Q0FifrJizERmweAwGEhEYFNB0OMQ07Rti0HA2xiPgM5fQbymGwpEXl3BJcerWJ0qUMEa+y3Vt8xKQTqv9yKTxHdB40+0zIAkcEGCfZDC8qZiQb6m2JgmUzhBsNs+gO/pNME5zHreLN1yQYmDSAONTDLBtKNUtN2cV8F8sVGzW09jQQ8FvhwPEHHBuOEvMfR2iEGX2M3zo/ZYQX4/8dy5nUbBHy14VDlFVEFhKJtFemJfQa4Y7PDZ0VBBVDKvsoQ/V0FM1l0+uz9RwS6fMJoq8RtBFC6CitGEZkEEXRkCoClEQWwgFiY/W41BUprnKp3XekGbj6xJAU6SQSIuGqJUP3BBbJNrCDOoYUEGirges9I/QbNBJ4swXDTB/yAu+GNpjkHhEm6/yfPnwP/oOGjxRs3BlCEhmdsoNEFNFBDB6CA9wV5klZcMiGRBDjayD0F3kMG1iCX1klhzQaX8f9N5JmhBLaFpYXBknkEx1nYxcklDQbDORkNR53BB8doAWhTup0E2LOUlHNpjQbJV+IrS0hlBFAbE9x2wQEE6gx0zVUxeQaToCGzXE09Bspgt1741YkFAfoM4+7dYwbi3BNgNDVZB7Ze49NISUMH+RHAzQR+zwfBfdzLATlBBARpjFXYFSsEMLrgFF0o6QVpnTTL7BmbBFq9g+r+cPkGjTtADx5pXQfhKee+EpFJBqWESoXNT48HDBfqBiLxGQRflou5IyBRB6GwJhRvTP0FACs0nj4ClwSzwjLryAp/BasdzIke3NUHA8a64FOhqQZeiVoTq6FBBiAwlifM6hEGQZfT4r4dqQbpDyd4W6HFBns/UPnMKlMFcOtPoZlxqQbxjigFrNGZBiPFQosoFUUF1BZHq3walQTOSdBGWOq9BDrxkkuY+d0H2uW/kCDtfQd4Onep+zYFB0s/E6jsjGUFRYXfH6v1HQdpV0LGsl19BLCtDXoZoTkGKf5NVlaOkwdGC0NceBFFBiwsn52xeVMHvOaVQCk1wwcpEr23JSpBBzovbogQKrEFhMat3LXJYQcVm96x8tFBB9M/CXqhzcEF89tUcRo+EQU3u8NhcvmFB12fi2FZNVEE7csfT3qZaQRCDj/ni20DBdoKVgh1OekGAqXkFL7rewaQlvPlzHjzB1l28FsDjIkGUlszTJad1weE3ROORakpBrXHV1hC4gsG3+77yLws0wZheqs1klpVBSCWz2m04PsE2D8ZTlWdFQfMFSau1D25BJvENpnHVEkHFkvBxla9HwReU4hnDGGhBS+RDsEz+lEG2tEbUEwCDwfHhNGvCBTPBXObzQdpgdcH+dNU21yiFwTbM0BxilsPBViR6vaKuh0G6PaxZKk1vQY/9nahycENBtGBZyGDFSUFq6SPObvQ5wfL2kb5zdDHBX2Nl6faJSEFZHnAJ+1xwQXoL4eXwu3BBKqvi52kUNUEzBpRxIxxSQYt3hh6cgIJBhQvVtq13bUEc534zBtBgQasvXhkhhibBxW53UDZgUcH+YuCOSwNXQRrspXtacFbBjVVgyjlwX0HSNHM0x4SQwSLYeApUsEnB2C/Qoe0CQUEnu3AeaJ5pwQwQN/nJpWRB6tCW9al+YkH8CGIUY6+NweCR9GDKPXJBIiBENGF+fMF2u3hNfWliwcw1oYYPxmFBUoxx8cRfScECHkwepu9eQcQ1MBn9YT1BWnbiHevOjsGW3RdXKwpyQWkQ1+8bKlLBoFZa6mOMaEEqpkEFc1wrwU/3GJTKtUFBXFyKA//wZkE7Vsx84tN+wZClPwb6KWPBE2zt3oqEdEG0eoZXaz1vQeZqhtxVTJ1BpGgoqszWNEG9nPkU+atRQYJyjowHi2PBYgmDk+v58EDKZ7Jx0zJpwaP2ZZiQ2XHB5ugYfiCiQkEbQdhALKNoQZ8P85lPhVpBBGpzdSXoHsEY28Y2LNhWQcdl1rpetWBBtOnYQUutQsGLgNNSBoRxQVDbl0yrTrZB15VXmmAeXEGhZsAVIaZGQRBH2KUZcntBzn3y97I3XUF3IQkw2/g2QUx+Fna25ZDBahMZrZnQikGqYGtXBElhQbL22EWOOFjBxy8STv+XX0GCr0sTftXWQMJtzCsZd3bBmK6CouF+cMHAc7al0iFNQUMSZ45IHX1B5n3YtuRQW8FeXLoCImdPQZB3+AO4ryhB/LHASzegP0EbBUoDk15XwUi52cCwjF9B+IDlQzchM8FtocT8WaVOQTfDrTidKyTBNpIMdem8aUHquTyNPMqDQZKZtG+p+nfBOP8i6rPOMUGOrLW0+/tVwfaceOXv8IRBUwTH7CDwd8GNbeTED+NmQccIDj8UlWNBAsnOt704WEG5NPuhK+GeQYrG/Vem2VxBLo1K6qWLfEH2Oo1RreE4wWFfjEKWgSRBok9EYeHbTkEqWcmEmS6AQXZL39tR5VRBhOb+aZLdeMFVLsOLGnlAQfU/Bjz2gjtBcpO+py1HKcEriuCBNfEbQT/9k327qVfBXryzZWTnmEHWX9EIvNCnQXfrst9JxntB3lTEDg7QP0HvaJbYzDVXQd4x1fpLBG9Bvl/GWBw4Q0G1BDedVrpxQULVAxAd+mVBaFTZGR/VZ0Fz50KiWv1bwZWENmqGW1dB+wQoevy0akHfnhh5QHVgQYdi///6x0NBXCoJEtV7EEFmbrmctLd0wbIR/4ClsWhBIOsAIRyzgkGY1yqVgWZTQdDMWSHhBprBbNrAyMTiQkGT9XFLLxvEwUvhFPz1MUDBWo+Zn/wMZcFZSpKp3FJmQUJFzYiwD1ZBmno7B1+UXkHz5W6HEfqGwTwjngzaxVNB9qTK12bQGUHwp2NzK75OQSZS9JC+mUJBvhss5GKVrsHgKVzaXNmKwQBmw0NynklB+D8jjK8AXkFm6a+oGWBeQRfgSvDbnWpBwvIbbixJQkGH5J4kaNBRwYUqqGHqoElBQTv+OBijUUGssdh3DhBfQTpZPndU8IlBW+uLeqe4R0EXNbOLJnUlQZk1FH308k9BzZXD9D3maUE2qfa2R/RqwT396x5uoH/BvNTyVC0EW0HuZyYgkq2SQSr8eYhic0HB4OfDP8WUO0FWSHHdKZhCQVXncYiodUxB7g1zEKdXQEEHJFnQI+xyQRzycY/8JXhBQBLO8N0mZMF7BSnQnjFUQaVmeqBFVFNB1Eype3CzRMEAipRGco8xQXj22GtBmjlB2UpsX0zPXUFOQSPuPcRsQTaR/wUWR6pBYV5R13xcaEFEo6ix75NLwdDYvCJ+eovBzWtqidl+PkEWTdJKKtmgwZyv3kANVIdBmrjzkSAKYMHwjxzdHpRpQf5dz9XeDrtBmSusTS2gMUFobzZTtw9AQWBgYJjiGzvBNZn+QSe/fsFHqJQHIz94QfRe/l3enXfBAuCA6xOm0cFA+tFxrpbDwQiftyzHP5bBzEq/Rgh/WkEAqzvnipmewe7cMSuIlKDBCJI1w8k9gEEOH/U/Qx8twSTvpEph65tB/vbj20QtdsHA2REifPSFwQBYMWscikdBzS+eKn53akF2DFYtWFafQRHSUokPzm9BYgUrvUTdaUH9UXLruSC7wWGnRZ1GCDNBbMcm9YQnCMEds/ibjc1KQao0IGoyW09BJqHTGnyHR8F20+3wMDFeQSgu4ElVH3tBrCXpee1oZcEGmLadzQZsQQQKyT2JJVVBpFEKmva/gkE67726kakpwXXaQ4j3tVJBEItOmbg9EMHHFq3iJc0iQd+2Z+ar2UNBttvLSFtTQ8EIOsRgZtF4QWMbfo4+nlfBkaH9l/KiVcH4NBIWcEdaQZIiizg29VJByLNZCZjajEH9bueOZR2AQV+rHTB4ZUdBipjQYUrBmcEYnF15SRdIQeSXM/yiWm5B02ZqhUe4UUHbmDCt5lJWQVTeaBKlcVfBtXT2ZhNsaUEuucMUubihwaj+nJikx0HByk2csIGqXEHg6DtrXNZ9QQm69vZ+c3TBsmOvdQ8QkcG90ke1J5prwXI8Y3TO3ztBiDygRc6ji8Eaa0tk7GO5wZY1y/lhH1pBKs9RFBhuUkHsoK7rTsiJQdAgMs8p3jFBYfB/GO9SHME5Hv0nbm5jwQUK6t7RBWFB5B68rFwDlUGsn+wvHDDUwWCNfzi7V1dB9zURW+nLPUEZs6rpsgByQRZ9kFGxT2NBoWowEPluU0E7cL4IKusPQecFVXWFmYdB6j1nP4kUmUFkBkvgTxqQwUyUDGL9dmDBafiWkoiJRsHYQfqujFtGQbDPvKGSzpnB9JkA3mGgWEHH6FJ/j1V+wSBUBpdVxWVBD/3bPP+OmkEMaarV1qRcQdldub+fWJXBLgVmXwgRfEFJS20W3BAxwZSSJKcxaVNBZEnpCxuyTEGlQXPyeRFEwTsd497ZCnFB/E1zAO2CcME7jz9XL0xSwWOSJ+/KkAlBOc/4CkuyV0Gx2QjCOBByQat79HLoUZBB1ypXjDkBY8EEb2CEOJVlwXAtHI9zXi/BnArCIxqFNsFQ1Y9+wu4hwbIp/MiOBzLBbFD538cJdUEyHxqWNVJGwf7ekOVFRkJBN2dooIB7akGVqjc6jZhQQdW511Z/yHvBU7HQT39+ukG2rOgxy3E0QX8/Qh6SbWRBgievLaLLZUHOs1CW4KhaQUrHWFfjRENBNB4JtxnCF0HNf+dDWupNQVTe8gOjilxBu+TCl3oLb0F7EL+BFGiSwePWR3aAkFDB30Xuv5Q2NEHhOPMhtMBjQUhfJfHkGmnBrolSW9sSXcHY/PW4T1U8QUVJCYoGF1xBRRoZg5TcS0GM05kSGlF3QVAI27lPHXpBpnoaooGnV8HN7R6+4llGwW4leEnFrm1BePWvL9QWUUHkF/6zdsVRwcfBC2oFqZnBUpzFOGORhMELladkY9stQXL+EKWk5lFB0YuavziEVcHyNJ7uJouqwWy6Gje8pl3BvVRH7qc5LUE7xT2WCYY9wTBLlGzJjkJBEi0w/qH5IEH1ErSwINs4QZIb0E2cApHBza967TU7OEE/dnHI7RZjQQdNIK5cQ8TBcMbBMwkRWkGo61hM0qpEwb59mTxtiFdBxyq+37W6W0HoXksu4ot2QZBB3PArAkzBiqxaiPy+rMHBeF6Owp21wf+ywQ0alG9BWv1ghVZLjkHDQO2EhyplQQoTLEurOVNBOsfvHRS9NEH6KcsI2/YOQV5m2BmxBURBH9MDxuUacEGjzHAr5gRYQWhaT7rwVGFB27wW6KkvkUHgXa1BzPleQRTKbaoVLVhBUB4CxpAQQUEycxG0L++EwawA/4KMo2lBloilqm1YakHkKg/UkKgcwQplDqShu1BBQiu6wWI1aEGwg8j2CABiQbCmln9UQ2dBRceCE6+0tMH051ftYiBRQTQhmAC1cDJB6DomsUr8UUHWpWJekLmgwbwev+PUFzdBsYDsvNJmXMFq8nyLK38+QZ70BmT1YFRB4OmrDq0dRkEo18zL1Odawab3CsmkT2NBqix6rtLqOEFf6QnfZ1eLQdBE8oG1cFhBvtCXNzhKQ0FqMlQCRhBBwR04nBrVEWVBkCB0wQYRScHwgaOP78ysQXTndUk+a23B2vfduea8bEHunl0tKIpvQWYXTqt6mXDBclK5wUb5ecE9rBJJyDdEwRrf5H8c1FNB2QVhbHzVQsEPQZGyphJQQSa9XzkZlTJB5NUaBDYYSkHyaTFdyhloQToeKCmY8GZBijSe3jigYkFdApUKI9xqQUpCcvjhYolBOIqyDEEynEEgtNkN6A1swa2U3WfUJUFBBKSg8wYOW8FcSp1DzjGEwZArJeC9BXtB5o2yRHyNK0GgShd8MllHQXkdN47YoXlBnIvlO+s3T0GALa8CuY5ZwaWwMcPOnGVBWMmASPAZcEEEtpNbLVVkQRgeramWqAjBEImxMTgoVUFkTlyYM/tqwVx5mK+2wxlBKkAZyFOTgMGmN9FEHkScQWuIPKRbUzdBbrDQKFM5fkFYRHGOZkwkwVvBT8naa1rBqwMKQ0iiR0GBI5xkVeVXQcvKfPGoOVpBYORps1Qec8FOImRDk09YQQSRt6bt0WjBbO4uzY2NYkH839Sh/yNzwSy71ItesVJBLLmNRl6am8H+3m0ESxpHQdssGhZEHWRByKxJoqtTPUEicvuqel9NQY3BWTsO4zFBlEQGjCKmZUGEgk0srjKLwSlTJtyEcnTBmylqbDJ2WMFkuFiSADBpQXI0XxH9AHfBJSqHjYE4WkG/rgbh3qKKQcX8uzDNLVXBAlrG10mdVUGNvhALNxpSwWUqck1jHVPB8JULAk13SUHENs+lw6VPQaGOUGrZW2dBkldXTahscsF5vf9wT2FtwbbuVNIFFDxBI0pEsui/f0H759F2AxxBQR2wrEyJF2FBdJi1l+kSVEGqPHwAbFBLwXwm279FAnZBNcIC1u/gWcF8WN/ugPNfQazXESFK8TxBAZVUGng3SkHqTgmsDtxMQQw6wDn2CpJBeNEzHJWyNEEcClBFlmhgQVYbdX1E9GdBeIDfqDuDQEHAH05rP/xSwXC34J9LZV9BtENBcYSoB8HTdIQLOphTwUrSYod3ZWnBQhjzeHKTZkGhwERrxs9TQZ2LSJgYD4FBJmXc2M2jfUHujBd1yLq0Qaw31RKM4lzBHpu6S97LmcFgbIzIr6EHQREqraETGVhBX39uNyJeXkH46tvnB25WQVmjscDS0UlBkseGWi3rVEF7OqYeSV1ZQdxXkglTbiTBq6dKZQXkXkFw1CNAx5V2QZ6EYHbMP1VBihrks3/TXUG4xinsCJ8VQVzDAzupdpNBPhT7N5tMS8EG9dpLFwGZQfoNh4Fpn1JBnvt1o/pJY0GDz4rTH1qEwcz0P6NwWk1BDtMMkRfpYUGCD/CI9E5lQbJg007qPJFBbaBBGjaDq0FxboMuoT1RwYR8P915lVFBAXWjk09xhUHOKDm4KlmCQcou4AtDCGRBxpAWm+S1asFZ4Y6ChjFvwY65rMpVOTRBrlQg/XXklsHAKUuxuyV0Qfke15QapjpBui6UOSLrVkHihDEeYsgCwRRLE/sDXklBVxYL8cbIbUEp3dovo693QYC5m1RrBn1B2MIrdP6oUkFOhFlCvStRwR2/ZgGgb6JB3f1czcRCkcEc6g+hLghCwT2RHExItlJBr51EOKf0Y0G6e7mMgDlZQdyoTEcFnlpBfqrNVoXkhcFEeM0+r0uCQUVXNbLiV0XBifYXBMKAVUExSM5M/Gw3QdwZfLJ2CT5BpJ7KpxX7YMEhi9nY2H6BwcYqXi5LXF/B4Puton+HTEGgtlOS8PZlQSMXVFgWQltBUyiw12mCl0FQdMafIP4NQah2yll99kxBEmSL7mitYEGxy+5ofn1LQbKgbWyX11vBmNi1R6ySWUEU8RK3oFldQfQjwgWEfapBcIUpo8wuS8FsBUyXTugcwZAAkafY/2NB7GaiLSLsIkHc1jASFmR5QQShye+e+U5BSnfIJafQNUHQkFQlINdWQRZrQp2v8GDBGEF3EUehOEELaLDKcHOjQfRZ6IB8r2pBwIaMNiT+VkHy7QgoCb1LQVQzmuu22VZBlg6iYJVmZMFydGQFOadAQX5MLv1v+GhBCA9nBd0kVUGAMRv2TRBFQWR7L1am2orB8BpKwZ81bsEUMaNinyZBwbsgoq1KDWpBYT0Hv4S2aMHkf3rCXhhSQUI5/8AbOxhB/NRWdueMn8EnjjGMBwiAwaEClGJHKlJBJP+vj5U6ZMEbP6tbhpRQQT6ibxHIs11Bn2f7FM0tn0FaA+FZCPNsQdGGehZkqyFBdrHtqG8wZEEZMRwPtmhIQUwroyHhrV1BX+kyoYtum8HGruLlom1Cwcp4fEMwXDPBoDuKAbbdMEF4rbsx1D1iQQbb/NjxOWFBavsNZ8HMUcF6vaPCsiiEQRN9jrGiE3zB3KFZPtoYOMGokHsmb3ofQTEci5qB4kdBRneIuct7UEEwbWYmwZk0waDYjY5PC3XB2j9nWu7ml0GUMKo4wNlEwfiJQ3bxyEdBVsn3kMQwN0Eo30d/+zF0QZuU5ItHcz5BavZmXlFsfMHM/IVTksFhQbcdJGgCYmPBMj+hLMs/hkEiCmsKDblRQcCWxnZD+2NB3i/5Nq4FakHSolodYh1ZQdxEM9Rw32JBlNrHN/jOYEGtJX0Z9u1kQUgTTxdFR1bB/lWFzwq2UsHnMqp7HCl+QSVJRlOqoEJBmiibeBjDjUH7dOgaQg5VQdXmuvZO6SlBPB/nieK0a0FQSGzn1DFTQeQHW3KnsV9BweAzQZ+bV8Fx1ZKK6/ZgwdBbSqrcYRzBSQCFNwveYkHcYkeajThyQQbfhuTHIzrBQ244aZETo8FdRuyYahAhQW1ZuStufHFBttUGe8kWaUHZIYL/+LRgQQ2ux7em5hHB+/FtdQk6m8G+QmVPWHV5wfwiypalxZdBzrmB1nIlSUGsEGzj8UiawVoppDfwAxlBdPKvbIQhr0HGbg/NRUFgQdiH1/uMz1HBoOJ2IZ+aPkE86icHlaGEQWTPXgLUs5hB77gcre9nusHItfZ/IAJYQUpdRw0YEjJBqNqTWJ6JBMFAmnGzQHVoQZhYfv0GAk3BoDTx4IYAa0EqPsKzkOkpQRAL/bJQuFlB2LkvVAL7VkGwJS5EROegwS6T9TUcZGRBM1vaz9sVVkGqmi3kw5tbQRgq7b5RqDdBT7hTclYwcUFE48mDHLWewVrGdNz3N0ZBKl3FX6ntE8GuX50l5TGBwdaDtkW4GGZB/s14Z+4MXUEyMCOUUYtuQYNf0+sO3KtBNWrj050lSUGy09eq+R1dQYwWSnBcUCjB+gPBQYN5a8Ea+th+ERtowX581fdV5TVB7JFkoEQaZUEkm1j7irGTwXhhJXOaKFdBy5zQaOTRdUGSEj+PUjhQQeAK6k2uFUrBMHYblwDCQMFeFPw1Q8PHQdC5bSyQkzNBGmtYfPN2NcF+YMYwz9A7QV4D3MkHGXFBHlGFqj2SKEEQHC6FR4NCQbqPE5tazU9BFWEmyam4V0H0xvYhAHlkQYjd7WP9REJBaVXc6GrEMcGuX65jGz5TQZc17QULZ8LBO3Qnt1+PLUEQ2sWPE0GWQRwFoRcpMRdB67QxYrE6f0H1v29L921MQfnG33HcVWBB5QP99MIGKEHEcqLFAEBjwY0WwdBnGVFBLoh5kPT1cEFa/HOVNMRRQSTekjhlPWNBMf58oEJiQEHLHdQ/j/+BQUuWREdhdjfBh9RWpPxTQMGsfgBXXtwYwfvk1ufTBl3BbGeybVHeSsFg+DSyGkYTQcqZbZj8GGdBdgJZgRaHcEHgKzLkVNgXQTLV+x9if25BJkvCzuR9icE+GvrdyVRnwQj1KfcOOmhB5MI7LrWPX8FlkNowhvi3wV9O7PWBMnpBxNWtaOaOmcEvCcls3XM3wSQkRnlSX2BBrClSMpE6yEHGGTlhW4lAwdc/n8Y22GlBqmRfxI2XacHpQ4Thvzx+wX3IGBZPOUDBTK+xyB89MEFI8ZrnFe6IQe0YLPFB0KFBE4TxZbL4WEGRgP/JNwdiQQz9RoWTmBzBzqNxgaqHRMEowsfOkNNdQV+5uWMDU15BQ9hljZdfV8E64R9R01FGQSJlaR51g2ZBXGaA+RrqT8E+I87cZQxjwf0kvTTA0xRBJFAZo49zUkFyQtrOBWBAQcuPvRvIOXrBvzLrk3YbV0ERYQWBSHEYwb3EG86MYUrBMVx8Qys9dsFmgbmyWi6Awf7Vo84la7HBakQrnMuBIUFwzN7s/9NzQYhUruZye0FB2fSw9HG7aEG8X5XCWhxYQcc8QQYpMFpBiJsxpb54psHyDkTAZjZnwfzOPBZBNYTBA8lhCkUITkEt4LQAvcaAQXfY1zMzNUfBW1pmUKhOrMHVXn8Sk5ZNQWbk/Sviw0LBdF6xnOZqQUHa3g1wNDw0QVwn689MHl9BG38AVk+wVEEaPRZUnX6mwXz01ijaVpjBcYrKOZ9TjEEfU+DpRSA9QbsKSsK6ey5BFhCyLX47U0EPugOLbc5BQTqikHPjdEpBzKuPZj56VUEhgbfYkrZAwdBjGywcI0bBaT89kRgWWkHSQBbw3bOqwZwvlIsmMlhBhu8VnH/kYkFygJ0IKXpYQc/kscxAJlbB2BMF9llYPEGJ85++hqpfwcBsgB+jjDpBviZHp/CFXEHl8JJnFUhMQX7vaa2o5cDBkrP37z71TUEgt3wQNU5sQZpFtZNf1zhB2iTogTc0RcFRS6fJHqLLwRvScUUEzjfBpysBR9PZlMFDur9cL9Y8QW9Ig5YWAIpBY6IyE9zwbEGoe2R8zJZkwWdxDKij8WbBAi6+TDh6U0Gswn8OcLGtwbYzFY5XvvHAo6O2u9RnuMGQTTNidRHEQQFhz+dfjnXBQOZk2dTRQUGiBdk6BzlgQeoeNcq2rXDBIHsCetPhOUG2c8zU0hCEQcdlNH4ATzZB3ui8AHxzR0FcU3CTfo5+wWwkMU1OwjXBzN8ROynCdMGknU1hVCBTQUj1XHcDXGpBldUmgbfEYcGI3FDIqgtaQeObAYGR+FfBWQwjZt2iWEEIym/VuVS3wYYt2NrBJnRBNJ7LOvr+e0G+zoYV6FqHwfnOW1hPHThBZpZaF67SXEFAJtHx68BEQZDqGYlOUkVBAE358Mr8csGAgg/iippywUk6iSToVEHBQBITzcW0a0EYFeQW6YIWQdcim2gB5FRBknWX8Z/AxMHQy5uxMcVAwSfpX9l+RcJByYQcdWD3dUG6HIHQhPSIwbO6dbDYWFHBdI1Xq+AVUcH6jT1IelJHQS3I8W/kClDB5ma3Nrv+MEGkaiozLQp2QfnTS9062UFBEPnQZbrGc0FYIDzjYoxMQYHHVh0HnmdBKHja4Kl7XEEhxltS1SdyQUD9aDhVT2BBAthssOxccEG+t/vDoBVXQRldUuql71FBqnnXigvgLsHoN154aUxDQbNxz/vZGY5BbECpQSNbW0FO8/q3e1I7wUTnZ1HE8YbBBK9kMgTnZEE4jX23IvphQbjGh496M5fB3oYIeq1vJEGdIhaGaohqwY6rQFOPKk5BeadssYuqYEEWBbFJCKNMQQlyEaIWgjbBLVKWZ1S7bEG65Ux35Fk3wfafqcvrtEVB0NvS9kixM0FE2OQCOFKkQXkHDWyFkmhBagSGLaVyW0FwKF6m0EclwUb56X2QFl1BAm1VReWAU8GPnv6GJsN6QTyVaCWwVY/BpdWVaeXUS0EEAJbSWdFUQYqeG54UvFXBE5bKRLX5C0GsCinz7aVZQdjo0Qi3UlpBlzC0Pa7VekGbgLh7JpR1Qa6zmF6lbmZBXLWTb9VOX8Fat1hLSISBQXP1l8RrY2pB9Gs/vVRAYsHudmsjALZnwSYp/4xoM0FBkLvNimIbckEWUaG4h/FOwfGSHGvZ+FpBlTUJQ1GxOcFo2b0kMMdoQbvUjpJb6npBfIkKEdePYUHXcJfBsUpIQXKzl+gFYh5Be5KEmxVtRUHQ5rdq2yEgweSCa9Ad1nBBtmbje2jSP0GA3/ZKsbNVQTEgLGUeOk1BHm7P9w8vFUHiDlJTp9ORwfZtqt9UV1FBCWUfmEtEVEG+u9a0SZZtwbo6fWerTF5BZ9372ENPR0FY/Omd4tNqQVWsxL6VZHnBZC1vnMRkdEFs7etl1DR9QbnSL9a5/VVBqImcoH+sbUE0pLZEYcJhwbY8YPv/LEZBWL+V9iB5VUG4FPhZ3wpkwbRe+jc7M01BiuzPeTsAaEFkb1pAOLBGQSCn5boZVVJBjWzfrCKdVUHooQWpoe9ZQSS1Q05F1S9BWBhhOpPKM0GM41MWdQp4wU1Xrcx46UJB+BCSPPyKLkGLBAbW/gyNQW+WxIJoEWvBQ8LdLSM3UMFvBMmxdJcmQaCUt2dw36hB9pFdxqEwhEE/tYr1nqiiwYdSXargs11BEuy5XVrRosEXnBm0o6qewfOd3GvDxGlBWjit3TyzTkGS55u4nyJZQQFoHR9h4VxBVhi4rIBfQEEahiqy7UBVQaz+02vtIV1Beshi0zCuXEH0ZwV1Ui1pQR6CItkAuxhBuioOw63RT0G9Ye2Nuf9NQf3zAn6fPn3BbyB5T4AaYEHsxVYvz4Z3QR0s1u61xGJBZNfURUGPY0HQv00VIatUQRK9kXOIoX3BCJv2TkU7gcF0phu5CZnYQYOiENalnl1BO2J02tE2JkHIfYoSBFcxQR3bPANmjE3Bvlj3uwZHgkGo4fOZsqxdQR6oHxRJGFpBiOpihcLDc0HTIYocYZ9uQWPEdmEI9J5BP5Fm8dLcbEFiXjLz0NVRQVSLCyElUHBB6JuVQY3ZY0GglqkoH7xgQbU6lkfWdZnBFD/CG0zrR8GAn1aIOSk1wWVX2jORQnNBpJJFG/uLS8Ef+A5yzgJ9QYsWhfSw6WBBj+soQOlGMMFnCE7SM+FMQSsiHh8wH01BxkRiY7fbkMFmyjb4D2ZawRKgDZMteCxB/BmxnOHcV0GpUo/AlroiQUCYVhgpVHxBB4VK3GjaJ0Fw98M0Y+lMQeTkkHRNHW5Bz58C8JwBVcHJ9u13AylHQWjdunGa4ehBuoQDIZtMBsH2BxBrinK7wVEI/xGABF5BK9+KYzFnwsFpsB8oLJkIQVw1HPnslLrB9zTWCK40UsFR4A94S52EwXYiDbYS/4/BpPcaQ2h8MMH56tPGEgqVwfR/A8CVS0JBcbWCdOc8dMGOboO/Brp3wSzmAAUSfD5B5sVoNAy2T0G/5LEWuThMQS33464wvVhBHhJYRqxJkcEzv0cHSsUnQSzyy9PVNydB9HsZPmv1T0EMmyZ19FJaQQb5+Yfp/nNBsGY+SWEzUEGeaSnXz19OwRy11rJUxTpBFdHjYM6AUUHDvgr4M9vWwe/PLeAf0ClBlgBhcI6EVsEg4uZvlMxgQQJ74QIBN2bB6isRWHDAX8FSBz6+gqtzQX0OZH6rM1nBDRcNBc0tUMEwUCS3H5hlQTTMkWc2PGHByspa8GnxhMGpCrko95Oowf8hh/SMKY5BT7F5FmFsXUFJyFtV2nRAwQA2a8R1NWDB9R1/V70dx0F8AZ4qDuhjQWwpo/CPBGTBXOX/BM/hTkFRW0so3otCQVymZiw5KVhBbxRcsoztgcHUVqlX9s+aweq6nx2RypHBTg1UvjeCVcH28dzDmQ9mwfxufhM6emhB/k0HAC3mQkE3z6NhSOM5QXoeclLGDqPBIhbAVkuffsE41tnxkRMpQRemTV73qGxBi7Ko2BMlQUEASGj2hZYlQT6M2BOhCjlBvI1F1AwaXUH01tTxLuWQwZKWw+bFElZBWoU+qOkISEEt4WIjBZFOQRZwz9Ui+nDBhEHKdE0frMHaueFqsqVrwagnJdt5CUpBKBUiszu5lcHFpkr8/fhMwR7qeNBohl3B2K5Gqog5Q0GMtbXuQvCDwbwjImMTUkFBjeu1L35IgkEG7BPmyYJ+QWlM+r7/ok1Bi2W8AVl9TUGI1cQCeqc+wSkWBJyhZH/B/+MK7gUtpEEZyuITWZ1MQcizDJeCN2ZB0NeI3u+8UUFFZJgfYrhiwRTZHEucRm5BbbdivZPYckGISilmF95SQeratRlOBLXB2rzp3iAHOsEknmO/07k9Qeh9RVADc1RBnd1Tg5IoZUHiT8R4hOFQwZzUZm+/ODBBoOVvM+sJjsH8uUAtDg1jQTC1rQzjF1rBpJNEQ6y+iMFQdhRv1osywYpN7gA392BBQytbwm4zUEHK13Y65HooQegTpLBknUBB31JPxDNzfsED/t1uRzaBwVUfiJ/a0VpBflguDFtxicEW5xYVNUNEQeIND9bEBK3Bkt8OdgrefsHXRVpzBPAvQTvX4lK8xENBoMleiJ94J8FGt/MuHxphwe4b5fa5JHbBx6M7KXyjaUGRB+VtOjVDwahELYz1NlbBBEClWXFiLEFMfh+/g/aRwVExgttNv35BwtnL8drCd8HKcSEGq6g5QSAVtVDhIVFBlRFpCwH9UkEk/O4dyZl0wVUBz0pVBB/B+knj5wUETUEUBPrGC7NfQXT5RrxPUUlB8GLjFCYaQEEq9Tf526yMwcQoi8vvXWJBKTJhuLYXUcHu4RVOgJZnQepbMFJf5EJBvdfcVyUfSMHEdOY02G9zQbg8RdOa7V1BmPImlMwhY0FW52wt3Vo4QX/uxq2A7CtBQW9CVKAdj8FIIy/0kyuBwSaIj1O8MQXBACeBILzgK8GDx4qDs2lWwWD/Il2ElFFBSBKd7DuPckEGtvtSyMZDQRKnDDuNtV5Bkpds5gqoX0FcC2T2E91Rwd5MFYO2BWVBifQbyNZRY0FsGiJebzpjQSNySELKEF9BKOwmvFiWWUEhFExMqK9JQQSWb9gQGG9Bghs+52S3d8Fit5QFKEhRwea3fiY95jNBSF4NtwhbRsGm7K0Q2WpHQfwjNSPg70zBQ6znRGhfksHS5V11imZPwXy/QZc//mFBfI+PXE4VcsHUqyw/9Kv0wDzpTn28HaDBB4hKT67Oe8GcBiCERniCwRY7Hlnsq2pBDJsNnWvwXkEGjyUQfvZfQXL3kCjkm3bBdoaZZBoIWUFgdKBAZRp3QQEz0GlktzlBxmdoihYDSUEQuPY4yiRPQWIx4vk7WlFBAHc3EXuVWUHA9qvyG9BGQVjir7pSVkZBkIvGSpeK7ECNrUcfxr1jQWRCtwja8YBBCicbkmjyIkF8SZzoF32NwZe5Se7zcFTBDlO1Pv9KcMEdfNtsH7WMweTBXIDXXWBBPpj7MtnJYEEMbtyVLrsgQSpnJde3rJLBDqurLpgNQkGKfRm31FNyQbhhIcZ14qZBAscayuD/QkGOhCrdO1FRQVnAX5qyyQpBxDjUMrLmb0E2FI7j/HZGwQFYkt6MHmpBYswnEPXJTMFDenZTVqRXQQg9mJwryq1B0hxswvjsbkGiLISzBxpQQVl1ub0gdW9BZWAbzRtxaUFoGmtLGotDwcrxvsv2qXZBIIMliwdGmEGp5TnXVG7HQW4r3ruG0G3BwE9CocFATcGksARsP6JRwRs65GJwIDhBj8PxsicnY0GR7rbevatGQeBsS7a1F1VBAyA+W3y8VkGqvtweNHWGwebDevCinonB+QN4a6A2TME2ZYbFBttqQQMEpyFKEDvBugGhrJXScEFwcX3oNG0XQWIRnuCfA0zBix7m7egMZkEXv+WaGIZ6QX45KLZtpkpB4x0cpQhmRUFgKcrfvFelQdVKPykNqFNBw86goGiViEFsVJ4MiCNnQWBI1ttqtzZBHxeOXgPJZ0ESiBLYa0xRQZSQfkrRuQrBJ7YEPbrPJMFS/F4ISmiawYas15c2Dj5BslX3Xyaxg8E6pF9tUCNuQXlebtEuvIJBeBuP/yI0RUFUdc6dF6hCQXdUIos9umRBjjEf00rdRMG4r7HBzM5AQWQ9IZcjlI5Bwpk4vwj5YUF8SOPYAbS/wW6d1Y2Ll0BBDTOHrruGYkG4GHoJaSs/wbXHne2TqUxB99AILY+Jh8FouNXnVRdJQcvW3mRtaWRB5uRtFDFKjEFcbS/3EPBSwS+L4S85aGBBti4pqUu4bEFWTB45D1xcQeYW+BvdLVpBJV4kzimLasEkDMWRhx1BQQ1DS82LCGNBUKoXHz5Ag0E8bP4m2tNTQR8T3vA2CozBYThaO+1xREFKpdCSOGgzwajdIHwxWI7B2mUzL++PW0GzY0+WXpJcQa8CZXmqwXNBTHxryfVlYsE+kLi5Ly5Wwe8UVaWbpGtBSuiOcMFAmMFbMJqzkGBZwabMpPfHKGFBWupM4ca/YEGB3gibuaxwQbInYsz891dBuwszdC56ZkEzTT6xdN4hQWl72cJR0ThB/EXfavXXSEEaTFpgkKpLQZ/QJPH2jp9B5O+9IkACTcH9L7QC73mNQfgCyi43SF3BerHskcXMbUFauSaQjcxSQZ6d07vC/jRB8wMU7+IfRsEcfyy2yZJWwYEi1wVwzWZBzABrrtAKbkGmemLFLsJzwdy9OWh5JkdBahVOtkytQEFYdGK/st1wQRTKaJ2XS1XBf/vNuupQV8FkTKB6CDhSQWO54baFEzHBib44ygC0RUH9CbCjEKJiQUpc6h6CXipBxFTsU6soYUEHLjHIRZ1ZQbbZMBwa9VnBYFXpY3oVZkFvSKgwVxR+wXKCge8hJjhBiuRiFcFaZUEaFUaJbaFXwbKWhhR8XExBsUXX2SiChsGIVUrm125mQUrM7XJSJnLBlT7L1xqHgUGO8Qise+NiQQK9l1NXxXTB86MoSMZiaEHKapEFoH1hQaAilg4bg2FBtFiGUcN1ZMEwlILrWbNEQcZJ22YmQaxBOM8Fyz/ImMGrfVMDktqSQYq97dl1MEZBihmG8UP3bkFcYUzw0oBgQbPpTaWlMqvBMB5wbbtLUsEM9yRRRTtjQYiWpbBiiIBBlkT9Q0QESUH723Ya4/aXwTa2jYE/ODxBOayN41yjokGAI6cYm55owfstQP+6nHpBoZp92s3MR0GWWyyvSfhMwdvK44r+CpPBKLdDYy7nNEFk/rING3BIQVeccgP+u3BBqg1pQk5tskG1un/IDp9CQeTVkHmMzTBBMIcE2INFUkFAwUSiYOTpQGriktQeDzZBoo6oe5m4MUE4KDjIq1JUQcRGzZFeL1tBzy7ssOZ/RsGwkp/NdFRswTwjbzwrWpDB4ziZG3MyIkF5DstpvdTDwdY98gz46F5BigN3SWxGSUE+eCpLPq+KQUegfjbG12xByDkxV6j5QUGWd6sGuG8wQYehgho0vn7Bxlnztnl9REHh81fCDDprQZzBJyHlN3nBrQq6MpNMQkEoa47jUcFFwfAbJISTvHJB5NPx0mdwNkH6J9+yyRFiQeU/W6kalmBBtdxPImxiWEED7xTMNP1NwbnIQnp0LUtBogRd3ZAsbEFmY80G7SmKQTtwrJjKmXRBlDZCmItiVEHoSmSAVqyBwVhN5VDt6mFBnFwid02CR8GwECCwAidMQT4bFfR6NlxBWp0XSw3LOcG62em0dyVmwUUgDA+8f1VB4mePFYoBWEH2TZPPMoJ1QULoa8NKUkxBOqlJmfjeEcGGXHMJOH+VwT3U2WRD9FDBDIaxmIrxrcF2aIs91DNPQZus5qeLXEJBGT48vN+UUkGst0L1hJ+DQdTqAplzT1fBSJ3NFI3rcUGJQeSHrF8owXWae2g6W19B0pQEnUoXkUFW0wRp/Fy3we7faD5NgGJBhO8AIyZBN0GmQsmZng1fQUZBTLfnY15B+4S3wLWhi0EbVrm5FphDQUSF85AUlzbB3HECMnfGYkEU28QjLcF+QQNibSbCaClB0wTJnKxkYUEmedfyuPU8wWDKA/XmFVNBMwiticSVQUH+r292QK9jQQrJsCq55jtBcu9x26KQUkHznTIXMIylwTLC6rciRWjBF2wAlrz8UUHs9c7janpCQb0Zdh5aOGVBwndUH0Bec8HZD7MOUlenQSi2tqa8hmfBO9XfwQpgesFD7Q9aCG1TQaXv5lAJqH5Bes0GGegKWMETw/hyflF7wTC+F90gml5Bkh2TwcKAgcG+YQE0TrJGQSZujdLxdFVBxaeFV8uxfcEqO2PmoPJbQblk2ROfeoBBAw4I0o1HZEG8RpXyesJ0QW5BKvOHdW1B4DvecySOUsHAKqGnGXAjQQRWiPyWzYZBbqVqsEJHcUEWkrUkdUZCQXL4h1sWZoNBMtWSCziIjUEvgZqzeBdYQRTngCCHK35B9gzMXOVQcMFcDhcD6ctpwcp/eUjQazzBkLlT8iwYVMFVQJyKFpFUQSKp1vY9u4RBoMAAfoWRY0Ha4+giMrNUQUjG9GBsm0jBqKQm4yDScEHk/Xp2hHdBQQ7qD7I6YkRBaK8pfMO3h8HCbOTZCNJDQbTfI8VfomTB0xwcszuTYEFmd1z4hoCZwRaWuZhCI1ZBGJognz1tUMEurBbEdTVkQdXGn2F0RoBBkzrp2ItVMMF2XnrTX91SQahBCIfVBpnBlxEpZCErQUEZkWNS8UAsQegZloyiuTZByFVDxwE2SMFoElfe9y5BQX+jc6BQEWpBEEs1EUo5QEHDcDL32lNPwULmKm/e0mRBHB2tOmBgZcGD2QdxXYOQwcPfhY+kvUFBGGOsVqurZEErZRno5lRJwdIisZSjF39BseXCsO0EUEEcQrCivc50wYQ2uJ/RspDBw3FQD1XgjEGQyCwbC8PhwMHM4A4MdWXBvj6Rdga8VkHMxaLVxgVkQatdqofRF4dBtuBsrtmGYkFLuCt8DpdmQW6ZDr+UqnBBQG37wupqEEHqLYCrjBCiwbR+zPWF10rBFv6C354HhUFCwZFGe3VFQXe7Erh6nZTBYO4Gn96JaUFOPSWHc9Nhwb/DkI02qGBBMwpTAmWrV8HV0lYwhvNJQRo65+oy8U1Baarl0IYhZkEIlL11eSFSQbLFEqURNVJBm1z1KzeScsE2MoB0y6RIQRn9z95XBp3BZllovu4yQUGGh3dWO9w+wYg2x/FKqIFB7vtZn1Z6T8HQnYb6RoFPQW2/NqQb0rXBMA9UKAIjV0HZyflbX+xCwa27PafXllJBppFy0+i8SEEDdymHy+BBQYsl2+/AzXBBvOkZMt8lb0HyDHPfr+lKwVzEqvf6zaJBWC55sbb+c8FleztwqleKwbTsyb+TyFhBKFzZYRQAXkGMWmdGhLdAwVFKNakhrUHBATgtJch0cEHoXpGvRwcHQZ23qb/o0KBBdSq325kdXkHC/kB1NH6DQU2TOxIPn09Bn5Z3TZbdYcFIhRev1BCYwexN7FX1401BZuum8cF8ikF6Ca9xnh2YQbL/MsmyMXFB8u7pGFzBaEEquJS+LPJ9wdhXEXL2BVRBEPbzhm7eSkG2VPrc0LNIwf+YMk/6IJJB3umCX+5znUGdbSkXOShewSyFwkPeqHPBimLFhjt6REFcVv7btw1RQRB6c6NOGbjAuFFynUDxJEH09cVKgVqwQaWaWsxX6yBBhIZv+Z0Xx8F/JjH1O5FkQYZVSUHvi41B8ec56yhKRUER8JQFcp6vQSxvIEZgVqJB2n4dm+LyNUHov3EgzxmZwRzuda556VZBg0X3paomcEGaAdBb7k5jwfyOh001onVBfx31kdbIWEEnXyhpduBYQbzrBioYElPBiJgxvaFAY0FQf1jPwR/IwFqWmmmEKiVBpAVrlgUzU8HoSAhymF1YQdvKWzfTcXdBJFZmJTevUMGZ29CAMIZXQSb6tM7BRFBBKvisgKTaUUGu+d/JaSdTQS67PLoOZRTBbzZLorTCeEEJ/HUJYKlbQSNZqNPIgUxBV7hIo0cJGEHOhirAeYhgwQlQwFHDqVzBx2plHIKggsHKLrEe82U6QeWao5liqW9ButS5LGJdYUGc1rXsWXygwapDxUkEYzdBKIJFMPVGYkFxZakSVm5EQVatTtS5dnLB5SKy5tnPg8GGxyOTz+NBQd4ONbJ3/VpBvBr1D2nvYUEsElIyftIYQZ9MTs0913PBfKVtwkx+EUGFghSWJOJXQQ0gLscL2YhBIhCfOywAYkGqBSlKou+CwawjYzYyUU5BWwJWCUlxP8F3cYRxXWaEQWcFfScqCVRBy+/IwtbcUEG1x9ua+mByQY5QCHdQNHfBns9SBs+5cUFpNt5EdAsxQRw/TlsUk09B6vzWvuQ2ysFGj5P4WDmvwVAgLBc53iJBCpB9Ai/NSEHNZHy8ZLNrQSy8pbeS049BsJcxJ7sUVkHPjYOCDS8MwRRMlh30XwDBA5U3CDDRYkHlRuljBCs5QRijAmks7JJBxkfsxc3hb8GVksxLqrteQSyZ7wmXsWhBwODCV5Vgb0GqM+qtt3VKQcyUb0sVZ1NBzbJiVmkHUEEu4o4MVLZZQTs6xtuQ/0tBktSh5Lm0HkEI/5iqHKxuQYfHfQt+slnBWNojDeIiWkHCxFPv50OhwQmxiSG/q0RBMjV6BX6ZVsHkeaVALQB3QYpWoOAbg1HBELMmVWH3VUGRq/k6yUpaQdSyU1X9ZEJBf7yCes0NdEEJBS70Cb9rQZnonqE8IblB3mH9doV3MMHBJe73vohMQZ4LQ8fT6nzB7PUUNvh/YkGgZf+wHZszQeIGNesZpUpBECrB+ldGM0FkGAleCWApQUQIauD9C3VBeBM5fTnZYkHotsuneFJPwX6DGKRMfE5BlMk8LatAOkFGmn5DhCI9QWCuXmXdxoDBaB4ej8JEdUFGxRNSvcwvQUkIQV7EumJBsMgcnuelVUGzI6DOU1adQQ1JNVtUVWpBXz5LWLgdWUF2+09G6Q0twbkE8VOngVlBmEEJs2NrQsF0bjm+nTtBQY+UY7hvf0PBL2eAkUxhl8E4Uq3cvt5owfaHRPn8FRBBHytuzOtpnMFg70g1nh+UwXSyNLEaH1hBqhuBhyxhW0EYTbiwAlMEwWPsUQqtcSxBlsUnzCW/ckFup4U1bVaGQSwNwJ87VjxBJGPsCZSzd0HyQZ8K8SiGQZg4u9rCZ0hB7yBJ0FA5d8H8PGdUb7dYQYDSlj0pzFFBzCIKEktcZUFy3hHOYi9xQa3KhnJty4ZBhImHAMMpQ0GY7yLje0Gswc4T9A7S3hZBJBkmTDOXlsEHtXzQfuJUQWrfrQ33JGpBCL1a/rOLhUF5YVRCSypZwbUmJiX5TZHBCkESvcTFGUHzgybw1QhXQUqsXN4GICdBMOAFxDqnRcGPWW5TuhxlQXCrpFOvQivBn/LLJhHIscGf0QBz+JpawfJFDxiVydXB4rO1Cn4QbUF+mpE6F5huQVxxUuoqXHRBXs72dHy3RkGZM9uVrtwiwWIHh7bkQlFB6SxCb/aISkG67ubcaLmHwZLOMGwDyF1Bo9PXOAqPcUE+O3u8DpQXwcYF+XQ3ziNBkoyq5ZPlWkHGq+cXGjRxQfzcwvXcOz5BHU5zUMM8oEE6YMWM3o9vQbBPxFKVkjZB17AkK9/fNkF71XNKxMpVwdDyAGWJm2NByyc/pWuVUsEmIxbJDdEyweOZswaavEdBpUzSIh5tQUFUChs7dLmEwfyzY9NKUT9BQgcRUFBoWEFOH0zTrK4jQVG+e50QfldBWU+ax/3NSEHK3P3ee6a8QSjT1CrVGFVBpZvq/TYdJ0GVYLGCgKM1QThBEe7UeuDAwEUC3Z3uOkHwzrkt7apPQf2wpmWyQJvBKHpTK8CNYkG8H6v6TLlZQVapdich1y5B9rNfoHnVosExGJWpTsJwQbrtHESATnRBo4ft3tJlVMGB2fOaPW5iQfe8MlvbFEBByNr+aQC2XkGrAp+XNZ5UwTS/Cvu3BVBBbtIIOS93aUGjW5mscRJRQfnVuXJ+X1ZBAAtrv3lzi0FtIXAUSjQIwYjA6nf2W2rBPmzqlUvGcUHpDXgmdfdzQa6ASzgcrEnBngtEUR5nMUH02IyD8NtZwd7EB3RGEpJBRzTa1KUfVkHwUMsY8ctbwQqtoHtIf6PBRlD34pC/REGUQKkQ4gRiQViBtgMS3V1BZA6FwZi7XcFjYvz5Ihq8wWw9x6gtamPBUVIEVAsqPkHCEBI6aOo/QTTlKKNEp2lBnB7wJft6ZUF2HnNqt+A1QRj68bQJa07B+GE/ExnxdkFcZc1P64diwQpvElE/+HnBK2efNnXYcMG476JPsetQwR5/U2CvPnjB/jSBwKEokMFvjhsF25JSwet9l+xK5Y1BUuEwxPQ4WcEDJ3XjDt1SQQL01lYgSGxBdNuQGD/+TEHPGmBaHo9hQTBcqM4S0FNBsHzVL/77DMGrFZcZkgRQQVaR7qpxVFDBg62HhKb7fMEPzx/0iFqcQajSXwkD/DdBvdJrihvbU8Gbe9OylQelQQI9rsNuZ1pBVwI8N6PWjkEkqh1dIE4BQfKaIzbC6THBOiQG5fiCSUF00KKPu1mEQQhBXKfHjJPBoh/cHGQ1e0FOCgMIRVphQblBSb6MhH/BFjqE8WcJV0Hm0ZgYkV9YQQaDLP3sMTdByTxB+oYFksGRkVrwfrRaQcDncmqzEyFBFlhWXoPamUECVFvxqqFSQZyJh0OyS3JBH/ngUqoTRUEqR9FwszSvQeDoeArnRWPBUh6MP1zVsMF2B+tp4axXwdlz3lxlOVHBzKvzdlDJSkF2m2G6vLdpQTbmgAxCpF5BN4TgCocyhEGQZh+yAc9xQTh5kzdDlnHBU+0PY9rlUUFFQNttBwhXQSi/DGR3gUxB+GC0w+cLOkG0aCdVsNmDQSE/FhX/QEpB9ovw9BaEP0Fm+rcc/64/wWwJWbAAknrBl1ZgIRW6W0FsdhR6BqMvQatDslR5O3zBGbDXbrUObEHKLW5KcFxrQYz4sIVSqmRBQ0I6mWqrYkG/MNo9FKRjQWCEpJ4ulF1B8iHItnbvesEoek5C+N5zQTeTXLWqVUtBl/PFslmkbUFa6Kin1jwwQQz253mQN3HBM4b9F2PzaUGA2pBgmRF+wWhtk7pob1dB+hSi2Z59Y0E+VDS7XRlGQYdEY9WgmWJB+UjDi89vIUF0EbZ12Zpxwb313WUeeGLB63S+F9zhjMFj0Nip5cNgQRACgg266j5BpNamQ+/vOUGbJPo8voaRQWpSnWJ6uz9BaG0IwcM8gkES4s0lhOwTwdieYgn2sV1B1HdsmzjzTMEEH6ey8sttwWOaAFryqjNBwyZXlQyWUEFSIAN7yfeHwdAByDK81glBHBpy9BZHYMGlpcLEaExxQSFoiuvGGFhBxwuxILPBT0HATBKtXIxKQQQPBHkPdlXBeTtidhSdYMHfwWvKa+5AweqoRomIREXBbFg0/qDjw0EONAikGklqQUi/3RfgLWJBEX/Dy4ine8Ez1d032vtDQYGcsKKD9YjBt12EYTTRYUHsBxMnIK+awRLFq9TqXWFB5p1TvpXLf0EIschyX++gQRVNEa2iOW5B0HNTDDsvKUGuv3CjuO9kQQmkFWTthIlBHVNHJOZIs8FDjfQ6B7KFwf/jDNvBc6HBsBgeRl/wncGhpp58EzUwQfqt2BY+/xVBBtOgVqbPc0Hg1cJYz2pAQbACzZHS+2HBIGfMDsh5kUEoM5l9vv2BQfyCN17fGZBBpzagokv1K0G34NnSjlBHQePPIuNcOivBSx6QBCL9MkFStlmJuGFeQe5nFEwj4FJB2b0nT3IrSEEeuNp2o7NIQT2h5VTv3FpBmDP06y62b0E6x/5m3qc9QXDOY6cUlmtBSHL1uCCJJMFY6r1vs6NYQbF2cdVpQGhBTsKYWdAyhcFIvW4Y9+dNwWus2BqtU0vBKCnkTL7nR0G6mVdTv+1iwQm3btXF0UBBsq9lERB1NEG4cWT26BFOQdqYmzW+9m9BLH6H5+j6TsHnIUrWvhtuQRLRnPS6fMFBfPQ3rmbspcHu096G96NNwXkRNZYfqCHB3s1PS8D0WUEBWnn64FdqwXGK8fI41ElBlpSLkEbWTEEr2M+9jsh7QWRhf89vgFjBt2E0+jLcdEEr8gGBkOVjQaw4nZyIllFBNv0y/e2pUUGGK8KaUFxEQZyQZlutWJPBx7HSgWx6tkHWnhYSlCBrQe53iQk/fYTBwlj7o4OHNkGIUc11HqJNQc4v0xiXjl1B8eqcEZUIjMFDkSpEqC+Uwcj5YUCFCVbBuibTVARdTUGiNqbmUsSmQa0aLAP3Rn/BfLkjqr87SEH6ZEuzv4RXQW+qwpYI6klBdonfvBWLMkGEe8ldguVSQR0+gwHoLFRBaEjy7QLAhsFT9Xo28dJcQaM9Ur7IjA9BRB5bQM8k1kGsiBoj9idpQarJPMR6PUhBo7Uei7XpUcGIMzdDRzFoQXZTeuOVMltBI9v/RUOZKkHWAa/edoQkweb86rZ2KShBJHONeO4MjkGgw1yFW1icwZqDTHeQOVxBhLt4GjOhSkHqr99L3tRAQRxFJvgaJlnBwFf0smkXcEF8SteBWU5pQTJ8ELYidETBzouhDYGhyMEIzIQhb/NWQSB5NSha6x7B9fk4o1wLRMHimyj0GlgwQe9UdMW2VzTBgjTFTgilYMGwB2kDEqf9QF0HT2iVgTDBZ+5SY1UpiEH8F/B3MxZVwf3dW2WQ2YNBfC/LUZZubEHw9EucAGkaQSStmQqm4lbB1vxHkOKbVkGQXFk+KpNSQf/q1lmwrVlBlHy4/+o4R0EQiJM1sOqMQTFpQIEV1FjBtK3/9cYmQUHbkUrJNoReQTkmaYYeK2FBFLTl3IigNkHwq+Zc9c1nQVBvXViGVzLBN8qYvTz7NEGIG9co+5VsQdZPeG59w2LB94hjMHFuXEG/kfLxQQSQwe3cJMnvl0dBLXPCX5IOT8E5Ua74KdxnwTaLu+P0rGRBaB5RrKDlkcGOLIglx01RwRQ9eMcsnYtB6kltEBW/pcEN5LthJQRAwXDg8BGeH2tBlDd+Zh0pZUGy7BD4XDFywUUWmneFOWZBPrQMDoj+WUEQqiqUzqWlwTkOzuFwS6PBYB8LuRmloME+XFGsc3CSwSKM1H/ORkRB2WiBSaM4ZUF/YpXL/+Z1wSXNpyvl4mTBJOQhS1h2bcEsdQ7rl08QQZfcOqsuC5bBrPXgAYZ6YkEMtv8UpBFHQVdeFmE2PKlB9/70/LdzbEFGO4yFWt14wY7UfFtXgTxB/oUytZchW0FuN68Ps9oWQRrdPdhLD7rBLD2Ocm7GT8GOvQ1Kh09cwZirW/DPwnFBsPdeI4EZSMFD/HxMwV1twSRVnHNog0xBJuWDV/pEUEEcXBz+1DZQQTxpuKIFJm5B9sTgJEuGRUHecWYmAq6bweoHiEoMulVBeYhkRf5QUEHRYs/p/QhZwcLpT0uw7wNBojthLXhcOMEkdZd3fQFiwVzIoetcODpBdXxGEHwBfkFSEzn2emlkQR5zsIwpqkVBAucX6lD4WsEii4JdQGByQRXulVVut1XBI0v5sY75R0G8k8AptSOCQQrP9dhZ0WJBLpktMSg7UEHxPqm1/upxQQC/qgWe+m5Bf4gfvY6DhkGImMxQicRIwYA5Kmlb1WpBUGVt8XrfUsHkMsa/AtpIQXRMSlHJ63NBVvo0b70lZEHMuq7WdmxyQciMMqQQeF1BrZ3uEYEih0G/dciA+hCFQcekXN5r+zbBZ4lPpSGaVUHMwYDkyfBvQZ054Ttq/2tBBaoE/iQOQEHJIF9Bs5YxQcQiOOhNWEfBxKql1/yEVMEauTPrmnB8weiu5UkvuWFBfrfYh4+ZIEE8oIIvXXxaQabLwkNRfn5BIyBd0uGsVEHYpfDpLiWCwRovCz24MXpBUvCNsYnOk8HWARAWzexgQTAEDni382TBHDLhu760K0GsML9cfRlEQd5q0rx8onFBPgpjIEedV0HydE5WTk9WwRuuJwTFm1JBgqTVh9PmRkF6urLGofFEQSxgq+Rxn01B2yqWgiTcXkGE6Mo1TeJjwdcgNqKrpk9By05bdfIpQEEBfkkuSnIyQeoVuzzBuWVBZ0fpIrokvcHgiCDyWFmewYLkU3h0rTpBEjQQNGywYUExtRkHWxw6wZqrxQQXmUNBaOIMK+QiM0FNCRr9ntg2QfJIUxinIFbBuDlmEArNZkF859pxWS9HQQoqld1pKHnBeUHyRFmgUcGQivMugExIQVQpLPuMa21B5g+cDXlLM0GfpW6gSKByQS7nIGsycGVBKPd+JXkeW0FRgHK8JexuwUR3BrR1u0RBcHg395rM00AsoEVX0VJOQZdpXKlR9mDBQvbm3lWqvMHJJDF7P6yAQc1eNvKqQxrBTLBl4ExvZkGA4xQ/rJg7QSbb2wJ83jZBiF8X2NlGNkEVmk++rElIQQ5Cldb9WGvB1qfKJCrNq8FvuHPqDSttwVK/GskRcG3B1VE5FHo3UEEMVWjnxl5uQYzBhwaaSntBlhwaiK67WkHlcB10HhS6wdKJHPAR5XxBLv5W/Dq3McEAVdPgSNtsQdLj4qGevoVBY57tcaHtcUH3aJ5ZRWpXQSjoFiJ0RnTBnZ74XJ1TmUHspgekGpxNwaDck+TqFnlBMYYrK1d1jUEF3iu1brdkQdQnX8emkmhBWNlWrX0OQMEuwMsirzRiwV0BzLgGJo3BsJyuRJehQsFZYVx7fflhwaWQdPwItEDBB601+Mo2R8F10ufMM1aPwVwPOwW8WxLBonVMkecnREFj2NXg4AtFwQyXya5PVF/BFZL8slq6OMGOjuT/rdiuQUZtxO80KaFBH9+KqwUygMGOhn1Xx7RxQWaF1G5ktjVBqNv/L78RUUEI8r5/IjpTQaU78jrhKXJBag/2g/yKYMEpeZiiZlY4QYxExLS1hUbB4BF5QP4MV0EupNrnaigjQdgz5Cq8oGPBImBfWAqAS0EIjt0d3UskQYqCPtMl12hBAb64+5yKRkFEwhbF5/9yQXAZPL23lETBCL8FYcAIqMH2MoCLyB3qwSAYh4Ju3T9B+Dif2KqkaUH+CTvabjeWQUDHugHRhzhBLKvkwTf7RkEpfqAIOF9HQcIXpOgvo1VBKDZmM449lUHlyoHfroJQwcDXmIJ4RF9BwqVfsu+fXEF3xoLRld5gQRr2jvbpWXBBp2Dft/QqekGcJODL6l5XwfytooQvbgNBPLEGxRTfZ0EzOFX+jTpCQcaz4Rq16pRBTyP+4uD/XsGjX1THfwRrQbahMrOWIVhBcnN3/gS5UkHqkkbCQC9qQeMfI1wyJJpB19czfHxNckHu4PID5W4nQQpYggcXhlpBt33biERHI0GUqTDmTAF2wabru9BajVpBjvvFqbzkhcH2J7zkGRRWwZmyeaIsrXBB0qNcuwkFe8F8MND7npWXQagXOvgVuUDBZ4q6xM99TkGpG8y9JDdVwcmlBmdhJThBeQwP5cpBU8EwlWVI2zymQQmlQ6knvhlBJSLxFagHZMEoQG+5dyd8wWjvt+R4DGjBKLh4qmAVOsHyrgfX8VpJQaJhLU9fX3ZBvAWWMQl/iUFa4EtF82RrQXciEvUDI4FB7AF2vimOHkEgfOy3EllwQZBLy9fdZxHBwJgLguF1QEG8O7BHXItzQQPrMW0kGWDBwlK0cH9kXEHs1z4BZnNywRi4I3BanHrBBhlwzaSgNUHQP1pKCDGDQbxj3lwUm1/BDYarQ29mbkE2N6YtE8xlQWZbLvP9DmVBtGwUO4WvcEGchjLwEGF+QZCV347NBmbBZp4KI1Z2DUGo0h10se7xwMT7PmsD3q/B8OhwqWi0cUGfaxwFvMNrQQDB4OC2hJBBeuLq5U8pkcGIazy5Tj9IQWIh+oTBj1NB9YaM7Xu+N8H6JVUBm7pbQQOC0x9CmbLBhnnwB2jlUUGELxVKKn1hQTfXBLElloBBHm/qUbxeckG61W+amqhFwc5Nx18mLnhBNm05Gk9ajUEDksCU32scQV5CUBSJ7m9BI744U9CaasFEPPhLZ51pQUxZA2OeMmjBt/Fgz7LtZUHMgqWHCxOXQekt6RlMHGLBFHkrNzX8JkGWuMfUw12HQQr2DVX9ebDBRkM3uE/dPkHa4Pb76PuAQa/0dUe91FdBhePt/fLefkEwVLVkHRJjQQC5Mxm7g2tBKKy9JqFxZEFgwnBbBcRrQaCu1bbaX1rBFj4y9sudM0FGfI/FoUR7QfLtGEpKO1LBhfb6dC1QZ0GuDFs+jnJrQQ+815O8EUzBcU7AaqnOOUENlreqtOpgQYcogWUpJGZBOIZ6697cpcHdy11IwBFIQWZWUD1xwGZBdCEPh7r9RUE6DZUF4rBZQUA9kkGaZGJBd8DDq6JLa0HaHIbJ5ClfwSpEMDzlyXBBSkWsJvFkTsFGL9Bd7zxoQZjTqBC9AlhBF8+U2lsxkMFeeLEgwWBLQd5VK1cWx1lBX3YxRzdcVUFZ5rVEr0tiQU+B5g5j2k5ByCQIJb0/N0Htwiw9PgurQUYYzwjPeDNB9xX9iAiHQ0GQTaUro2RDQdfyIzbu0m3BJjJPuW++Y0F/Cxe2+DRjwa/JPem6gnvBpu+2wMjNaUHCABl38apvQdIwRVNVpWVBMr/I5sxwhUG2NTct5E2TQY1+mVNpvFBBTMfyGqJqjEHjpKQ0151iQSok/hzjAjJB4/TDTAsCUkGith0gkSBSQQC/G+8bADbBPdKwAsp1c0FhOq7IsUlHQatbzKXb1E5BF3H4N/vUQ0EsmK943jJaQbgJHfVJhWhBtz5O0dyScsG5qTcY1XyYwWbVe8oE1lJBRVEADVocf0FZGM3zor9JQWGMZWs2QlTBkbn1KunOUEEVkKJTfbhMQTmpen3YLUxB4tBKZNJRc0FP/UIwzcJhwVDoWb0P6khBnLtu8/xjXEFDO/1ydD5pQTJEZBNQX1dB7kNbB0LwY0FOIlaPQjFQQYPN84hwcEnBLtuz5mnimUGxw0aI4l9PQcX1jLAf2VNBEe8a+AIUk8GYx9vqE9tVwYQV8k5esnxB9vKZ0HdeSEF4ZIWizTtqQRR/qCy753TB5Mv2cl+cYEEJqwKVpihYQRbK4ntkGmBByOBjKJdQQEFjPOL/EBRFwUq5nJiaNQDBfOldgLwLmsHg6P9X+uS6QKbJTFpxClhBlsOMnZbdWMFuWYeXSpRSQcjW3ZsbHUBBDL3Dp8orUUFOTKzPFRxUQXuFu7rVmUHBIP8S20gSV0HON42GhnxWQRsUd4ydVjZBUN54UJVCd8Hx+ao+3FqRwb3CcIWrcTrBABNz4MfJ38BmFvT3gDhFwV65XSsdNGlBoNxHVnGBTkET2jeYgddxQR6zBXS0ajdBAESVTxWY40AghS2K88FCQYBPw5kcolNBnMc2NAivFMEu7p/ridUhQXTwFUBMKFdBtO75k4urLkGm4OEWyE+yQQTvStlmALDBxN9UpraANUEyxjn5DM1fQb01C9MbUVVBqowbIssWUUHBIjDHoRhmwbuA7m84iITBVAOTJDYLZEEKPoezzMNzQYSpFar9DWRB0DOkbzKNXUGgbkizC9NhQdjqwom/RKRB7+XhDnbZhsEP0KqxTsJ1wWEhAbj3M2tBCgzEBuM8Q0HB7TRAjfNewer6lafApTTBCFUDd5SIUkH3TRdn4SRBQRABZXRTiGBBfgEs0RZPakGQaqNa7T1kQWDN8xqMKqpB0n1B99noLkHKo0pOg5lNQfm32/ERP3lBHyfPkAEqYcHNL0e3vFxJQULMEwy/5lJBLhgE1lsaTUEIJeOJP89pwcAce28cX0jBXiRMiYVHe0FmyxsWQ01qQSiWgrCmImZBJnfOCGG4YUGNnlapSEFeQSTD/usb2mtBlOkanwXKk0GEesPI8uhZwc5LrAes9jtBcNTqsrNTH0Esxxy8JvZfQQNzet1hrnZBjGYDx5KRZUHSrm2t8aE+QbNQTP75MU5B8HWLoal4SUHtZg84OYknQURjZizcHkZBU27auFpncUFYUlqf339JQWPHBASnFS9BU/R8sloFr8GwdXKwaV1OweT1Xaz83UJB8LszG7Z/l8EIriiMlEw2QRTEEADgAWVBmliY7gI9wMHPKfURvtBRQb8YFQErmqVBYIkpTgRrv8EFgmknr/h2QVz0IZBuc2BBRsOU0iv2usFXeVdcMFtSwdpxhcR1A4TBAlP6aNgkMEHsFRX1Yl1dQcId9a8lg2FBIyQV0dozdEE+wL0M2hYQwZ+OJtpkcVbBQijkHFkVV0GuECFCICV4QevDCOKLVJhBVEylDyQyY0H+W8rv/a9vQWZyueWUPmpBGmXvJhAZUME/w/TeT+kvQfWeM+S6AGNBJjkKuAyLa0FQqFYpV6FpQYjz9E9OuA7B4BPjB02qdkGCDzvWJqhFQdCv7M4EJyzBxrkyBVfOQ0EIjf3zc0pawWXwGQ5eIWZBsvZ+KSn4X0EetKnZ6qtTQeiM0qPpwmHBoPph9OL6ZUEqolhODhRCQbYCBArrnWfBcTy92PCjI0FdnEJkkss6Qdm8OboyhEhB1iwWf7GzQkFtR0VC7AekQSZZKLIZ0WVBKKMesCIYYUGCn/EPtDxXQaI7ZMnEA1RBMK2vWzVOIEFCQvuj0cGhwSyIDK6zT2RB2ct/ilJsdMEK6NbOQ7ITwZykkpiWBQRB174lRJ4iekHFr1avnQuqwev4C/ov5oLBdJeKLY2AgcETyTA3spVZQVbTm0B+6HBBrVGunjq7U0HI1d83i+WTwSi4guxLWmZB8nacXF2/WUGWtbSs8HJiQd/da4oooilB6FbDy7f4dEFz7xJjida4wZqegYvHiklBnDyoYVAiUUEl+pVrmcg/Qeh7HcfAZT5Bat33kEhqZcGmLf0w1qUhQU4FrOsXwz/BsjWVUza7PcFzHcjAIPiKwX7ogPXdYzlBP2hnbC4QMUGctzuXX71yQXiTteuRxzrBz+5eBtycKsEeHJ3qZ3RXQf30B6isq0fBuhNKYNRtUkH6B02da0JWQRYMLdqHCbJBHb90jbJZjsHVF9SDTB1ZQc3neiL8b8jB1oqEgLaweMHPuee0h9BcQe23YKgap41BMPGvLsARWcEAwWc6c9E9QQbYpKl8LktBSmx7yj6oNcGJgJ/5B3JgQRqMGAp5sF9B9Btva8L7Y0EeUFPxV/dwQborasxv5XBBFOvpyfQZUEHeShBq9kmeQS/H1sX8lTRBHJxudeZWVkFQaHvT2q2kwf8vv61c7EdBqTSq5uiEbEHGA+h1/I9SQRAMAXyg+XfBssylmimJJEFBe06yM2ejQTntHYW6SEzB/GxT1n3bVkEjsKoQCPFPQT/JA4yRnUFBohM1ZeDeVcG08sItq5tTQVlCLSoG8UhB7quIseyLM0HaJfMETysDwVWFhZ5vcodBvm3IQawYnME5DV+kI1l7wRz2R1LUn1lB7EWZza+Kh8FwFNfcL4DjQGKhRo/7URpBBOAwnqdJm0E0PWlKDMFQQd07bxOiFFZBJ5UtWgszZEFOfn5ozKZ0QfCBZ/tWEVTBGxthWOAyvcGkAbdvWJ7OQVR/LQtwK1HBGkqHyB/IdsG34kqHKKVuwV7VS0vsH2BBrPZen7v6U8GsgcSj/u1VwYzrrHMYXFBBf/EnVlZad0G4cEtkTAOuQadSxwy0eGZBA5iwyaUiZMH5kyv17NSCQcg7GrniPGRBxEL1bqr3XEEDSQ5OyS9wQa14V6fTk35BJZs6KWHxNMEbfMKYZS5MQaAqDb0Sg3NB7vX9dcbDVUHdHt9Dwo9PQeAsOW7q3VJBry5DJclVdEHiJq1LyqRyQYLD2V/auHtB4msOP7VeX0Gech4uYr1owRD3lQcooVVB68kTEYRCiUGIZwvfwSr1QAm/H6DtVGNBpLGMiyEAWMEPiDTpKKxNQRRNVChEf4JBOOLPMjf1Y0FMT04gjmR1wQaH6zrEbj1BQNdeO+iuT0FyUsHoYyFYwQdIIFLKvFtBjL13SF3pf0Eqk8gYPbo4wQRQiudksXDB4tIG9MrVVcGaT24ncFF3QdL6qsqPGl/B7wpasdWpXEG2GnfT9BpHQUASwP4uK8DBEFB1n1RhcMFqbWYrn8ZNQZdWCeH9rDZB5uLgHUD3nEH5HfctlT6VwWmUEGp09ZfBvEIf14pyU0GYqIHNqZQ0Qb1+HF63OmxBwrX3KIE9X8G6d2tcuxRkQZFwRtUEKGBB67GVUJeKQEGwuRtd3OJrwZTSz2M8X2hBHQroRE2nU8GQxlem63NfQUm9oC46E0hBc0nKx9IudkFEzwttzd9UQQWthrCNElNBvwHGuG4hGUGoGI9qAddxQcyXVZedqn9B9typfKk4RsEQ4AE8uAJIQdJu+egLf2VByv1HLssYhcF6qjwmA5NXQa4zFQNHi3TBQej+NkJabkHpEYxwzQ9UQRHJDKRCI1zBwECba/1QfcG4xlJLLyNBQfeSC+JBuHBBEIvyFsJeykFjL9rO9EiywczVY5ybNl7BXo2pBA6nVEH793budVlhwS5J7biiImBBZmghsggQVsEUGEkZatMxwf+fMg1K18XBdjzaGo6YhsFnrdX8FTlQQc6LxHkFAUtB+hpx8EACScF63luOtrthwXgWJ1hkKWHB6qpN+kK5bMFEfqLxFxJrQf6uyPMlnTDBgHUN5lGuaUHL2pNzOCBRQQ9l7DLxg1tB9LDJH+mrNUEOFddeWRRTQUYeSKrtmqTB9MCo6boRU0HSdjWUpcqiwYgA+PTAqCZB2ZvrQ7j0ZMEqWzItZiBgQa0VU0mOBltBxTI8EmjsPUE2Le8PexczQSp9vILAX1pB8lSLsbIUw8Fqp/sPOddpQUJ14yB9AIlBTLZ/lZYnYUH0Vg7Lwr9xQQhhFN7ozmBBZpL6QsiTUkEHfk8WRE8xQd7klMUjoVlB7bxJS+JxgcFB3GX6BlyFweXsNZnTuVhBrMRfyvYXTcHMvnNwv25aweeMxqe4/kdBQI/FDZ6QdUFLFTcinfuDQTbWFYPAeXxBA3k4YX0ILkHdEoMJ3xhbQa+EssSaSmJBDcqbUNL9jMFzTcAuBC1SQYuMbe4Wm61BRhcpRTXrT0EL1t/EJMRYQQwLaeYdHEnBa57ys2H/WUEqg+WeuwpcwQk6p0FRsl5BthZm6nb/h0F4OxDUMx5hQaq6xFTCkkNBp2+5UZEAVEECeamWp58pwSz+j44DJv5A4Em+SCpAcUFv2APVBn2DwXKCv055s0RBBLSFfgGicsF57JMaUzc9QflkWSdO1klB45rgeGOTYsEuePjTLJdrQWnlB0dBqovBzZHfT4g2OcEW2ZRxC4oQQZaJF2VG24HBnAH1xr0Ty8EA2U0Ij5KPwS1RvuXN4E5BYGTVmZqjNcFlfPcsbbZSQd0jiloLd2FB9KAVbyoJlEF396iPtnYzQSkZ2gZ0EmNBb7rFXXhzZkHG9KwXmZhhwbAVpf/lLktBzqt5l5proMFARTFKJoZsQSEUmfFAt8LBKhhpnT43TkFka6lvO1FYQUxWnmHS/UpBcgA4iXxJP8EI+3d5LkVgQbeKTpZa1pnBQ1B3o1A0kcHusRan3Ac+QSooU2sLO2lByqwlqmb1lUHYarftWmVCQSrDceItkIBBItR4Zd9rT0Ek0jDhJOhjQYQqtPJglF3ByNXNSVCSc0HLx3RXSVUvQZRtu6N6GxRBXsDZG0/u8cB9CVWrf3V1QaIcomRw+WzBRBR7uhCXIUEpHh+H51lnQZENY8rL82jBgjsh3RMeSEHfIM9QZKVOQdLI/Ex5n1FBpfv911p7ksEZmzhzV654waChlCxNjvVAPtuFDgnnJUGcqBJjgwSqwZSUaaA4BTdBjjnmVYClccGMrenDJz1JQYiZWahZszpBSH5g7Oq9U8E9MvO9ar5iQd9J4X9O1GFBKe8gWSLGU0EfPxcnTdywQV1kmXCAHlFBnRYO0siLn0Gkr2Pp40k2QQFfVIB6CpPBlpajGCTISEG4u+LaKo0hQVzpenzTiUdBJI/bDxUobMGu8a3fR5h1wUSa3nqTcZFBGd2jLDJvX8FKq5tcd5pfQfTrn6fzdWFBVinWMsiDIsFahMxy3hZxQW7vl3evmkVB+oV3RpIMO0HSydfHaW1HQcmO3+BMw2dBPEHoNYxdNcEIfFR3tJRLQfChEYHKtkhBaoDfXejqcMFobl/e5EJnQQ3u9FXoyEtB0snEcJm4QcHeJ43W1XVgQWMAk6WsZy/B43SQzf1RgUGv3MP2u0SxwZTtvmGgDk9B0qV53V1lcEF+zQXXOEBLQanI+PsqXj1BbCOkPYkrKsGsNIC3Sed5wYWh1QqoW8FBJa5lJ4Kxj0H8O1bepK1WQZq2S7cnV0RBIXfPaF80sEEt3GI3g+aWQY40acMjpm1B7Jpkm5zoWkGi5kzBDHGWwR2HO8n8JHRBgLEnUfDXRkG1GkkmXltjQbgkmTvCKJBBqLjJTU/eVMGtoCj7pisoQVBSQhI0XzNBo6xb3MxprsFASKKtXpmJQbyN8rHyAGFBMO2R9Wwsg8HscXeq889RQZYKQb6r00FBvuOJq+e+AUEq/RzvnEJDQUBeQKk9ikNB52A3bRSdYUGAGdGdcoNqQVrePYw0OohBCug1PxKhdEECt3XPGUBHwdUZu+jc1lVBjhLLRiG6X0HBGQ7/vqtJwflycbW2VkhBYnjKYMbHJ0GcEmgixJA8wS/o8q+f+2BBSc+AcAMebUGMf+cJ0mdQwZ7OZCvZoojB/vYWQuLOeUHNAadTo5x8wWS7WPddbSzB2fSrxnEXc8EeW9sWY5w4QWt7gHJvYzZB8WkTtjkac8Efbsq59WBLQXOKF7BbYVJB1IuyyWu9SkGaLIgYsPxuQfVHMOTlwDrBiHluJDoMccEXJudwGI9OQaC9bdwVrH/BnE3E+JiyVUETxtit3AlRQa4jTBVCsSFBoArxNq3MX0GcliQS1sQzQeLem4+PejNBQNKjT0d0lsEZ6GVWvCFgQbVoCc91S0NBlMZPzSBwssEE8SOc7uBTQdrSBluKX1JBKEiCQx4ucEEti453y3sowRsC+YfUD3BBfS0AlATvSMHZKqTSdF0/QWT2UCy/uHpBlCAeSI6XekH4Wgf5eChdQcxgQkPSJh7BA0e8Z86LcME1NKzJJZlxweTgFHs4aTXBZlWkVRX0UMGBocgHPzx7wR/C1It0aURB+MAJ/N1sS0HMC3MEUc/GQfCUSURsE3BBfYSoCXsaaEEY5bnbHn9EQRCF7zmDiTnBHjM1ChCHKUHaf7+D50pLQWTe73SO5GhB6lfPnHjUIkEqxQEFo+CCQZhIRODtpnhB/UEnDcicbkGQaTxNlZk3QaSfSUkf6BXB8jCZndEMVEG2Yyjc7MJwQRaGY4FHd2HBTh29cQAocEEpRVJaPHRBQWYFTQRiqVRBcYdcvwocfMEo5KAR3iJAQc4necPdRzBBiCNsO6nEREHCOlBar4BrQcBMalMDZVlBaBDfHoTyqMHRlSCl5AUCQWZ36UMlal5BAa8RCpQQqMF+3XvzRWEwwbxHU2KW/FFBzgr+U7yVtMH/XhJ7uo6oQV2Wr8eTel1BRV/QC9jNQkFoxoJpP/5/wbm2lclco1DBkFj/+Nc5Y8G83QOQF99jQfBaOySp7WFB5r0G6lVaj0H8cRmkoGJSQU4J7DsRDQpBCkIfPagoeUFqWLhVul9iQQddiZyETxRBNxM6QVzYusGlW11yt6B8QQi620mh0GFBdgwQu3OZX8G7dQxluEZwQVqfc6rHrcDBc2PRX4a6a0EffPcLNW+DwTCqLlqKZHnBQHQ1sNRYqsFUD1nAPE03wcgg6j1KkUhBpnYXyF+MVkF5vIZ9rIY7QVeyhR/zzUhB8tDxza7gbUEBtmt94KpJQWwFKkEBtUVBZ0UAd3BAZ0E8U+fiQxiXwXQyxMGe0E7B1ZCqV3wheEHAnG3KSaxgQap5U3yuuVhB3nqK7URTeMFweGQwFb0mQU62nN5CuGNBlySzmlBgbkFQgxukizFWQVfr5ZR2l4DBWipYYpW/T0GvR1/m1e9TQd57YbsMgx5BkivYiJcZjMF9YXCZJUZkQWT8wlWybG3BBy0AAwhkb0F70Ya/DNxcwQHLcpXvr09Bwg4uQAhmkkHOsiEo0qhUQQyWwUVgv2JBCMu/iwcgUUGG7Axhbfg8wWZUB/Xt+2bByUKe0E7OhEE1iVJk/LONwW6XujJdboLBGm3EWLXsWUFG9pEo4slSQeWWiIQwWVlBAIJRcqwN5MBIy9k/j2FbQVIWwZaPFj7BPU4MLzEGSEGAGm2PyDdUQToZybGygYLB1ot2Rmd+PcEDP8rMezDjwVNLCiZwU11BcLxczHUmPEHIeixB5IlWQTCLAtN5Z1lBSLr0ZifwUsHr0ahuQyGaQTS7i6XlPldBt6Q3ui0QK0FK7ueBdt5dQdpQHYNU9GVBiKh+xbnGY0GuZp0vOTpwQUSfZoEEvHRBkC5VzhZ3k0FM5DsVKG5zQbpUnnlOC0vBDb5Nveq2fUErtx8BRON0QbCDrHBDHF5BVNLIm2lsWUFxWdtPZERGQZgX+tLx525BjLfUsW4aYkEj3tadYJRVQaYf5wlx6lNBRUPfRM9vhcE4h7lHDwN+QQiUfcvBFVlBHG9C3s6UjEHCGMSG+nibwT3eDXfgL2tB6sNXUly0UUExSSpcv21KQRGowXlmTiFB6j6t1SglfMEDQ1yGiA5aQXG4HA9EDkXBkMxTSL73bcENf8I9Ch6dwXqWUPUEMlTB/FA+h0kUYEFgXI2/3Xp2QaA3i6nt21xBFMl7g7xMa0F0cc+jvHmPwb1NWZbo6FBB9cw42Oo3hMEcWYUI65RkQbzW+npcumXB0IytjdHsXUE9ram43NFtQZZyu+dpoGZB2LV0TLN8hsHklo7hPuyMwfPWt6QTK4RBAx5ZwFkLfMGNdZ9FZep1QUkMdyM7u35B4kgddxEpWEGCLvrBfTmKwWoR1ADO1oHB3sdJfknTTMHyXxsRpM9bwTbSkBGnUmdBHbcbr26tqEHauaGScTiJQfwJpkqx+qZBInmYTcPddUHQpbDlOkhjQWI4FewlFLnBF6RyR62vUUEMmWj1EWBCQcjkbyqDig9BHKMt+IYIYkG8NbpUj/E7QSBFxgPTVFFBtXZmt1aQccHF67ZSYkpfQcuoeHKq8ThBSHefVEWUXEFpIHCnlMTGQUQ9cgBPQyFBFZxJ1O1WT0Eco77462b1wPFvPkCS+jZBwsovXqVfc8FQl+aRtrc5QccRscXomWpBoM7948wGSkFY4KGqs/ZgQQrpF429X3BBb7617L1tWEHIWN5AjONcQZBgHrBDe5JB4htyE6X8UkEt4xqZt/SfQRwP3w2aRQfBYXTgKPQmfkFbtN4RoHMHwdFXVL3qs4XBtFCYspuHC8FA/9kQ8hphwXmfh6PKgFBB4BQICFv1gsHWS7nwfARxQXBhqVlCpFHBOb3EOSiBZkG3ep0cymxHQbo35W0fwIpBkeGJ/c+ktcEnTldgJhqkwSwRuqn4XlNBY+yZFyQUREFJ2xSM3vxvQWqYmHLLIz1BOoGP2/CWdEGuphtvm+ZZQchAFPs2aVZB89ySO9QfqsE0IRg0xXBjwdopQjLXZ3dBtcH+GL4hocGlzVFbCcNYwR6I2j9YjUNBTHBcmGmoYUHHN0uMDj9aQZ9ypCzNxj/BOC4lmY+GZMEc7gb3GhE2wZzZZ9g8+llBedJ37PuFUcFso+KgpyRXwSWb5uY76qDBl1HfRjXRO0FNMb+jd7mAwQhSVc/JejZBhdguyHsLY0FqWGb1ahBgQcmIwROIXGZBUyMa2owhRsEoLV7V48dQweRK9e9FBkdBpnvoDmN5M8EK4b8DexWYQXQF96EbpY/Bf06YpI3dbUEDNiHYqDpkQRWnnXbZOHFB7JuZivqCAUGeJojrv+WYQdJdxc07YlFBpQ8G7JJ4bcHIPWCpgStyQf7LAsEYDm5BQFDg3zuiUsHa7kI3uuh1QfgmzcYKQ1BBeh2wy0XSQEEzDMm0ASJKQdi7sCOnwmNB/qh/ugRQWEGupPBDGYI+QVPjY+y+iGNB2tE8T/ZAe8Fx7ND203aHQcZYnzZ0SpzBt7JzFf84eEE9p7YkhZppQd1v2AQmfVDBUIMw0UDZicHWkANjBb1lQVhQs1r4I3NBeJOrrTwYEEEoMmfPfdRSQURGkxtvLjBBS9phiF0aaUFwumf4wO18Qdqgkx+dm2bBYMH4OsooQsET4Q0HAdY9QT59TxDP5GLBEZ9cbQjAhMFBfkQKfWxjQeT6rX8W5GNBmhxwK35OX0EGfoF3aFlpwfXWuH4GJmXBGHDIEGNAgMG00zyz5vhbQZK/zyMc2XHBc0RmXfEgM8HeXYTwh5FZwZoXBvAbdnfBMOkD6cQMPME+1cE/i9dTQV6JjKPlUoFBjGXEPNhoZsEsnWCe/cOBwaIxW4cQaFdB4+uMvdoPZUHAjXw8wodTQQQOnBb1olBB9syWsCITUEHULL/2+v+GwSj3p/vLNNXB9fMamiMBYEG7Ol6kGlNlQWStZ3Z3rlZBd/17C95nXUGImh1H4eFCQeXDdtrcNl1BJ9ZAFaiRUUFkVhe83l5+waB8m1te7lZBAm3+smq6T0GEdYaROERnQbtsRH023k1BZRZ0OTAQWEH7wGdvfXM2Qbys32aW3W9BPDDNqX73WcEiWi0sN5BLwe+6kAm0/ElB0ibXqRSncMGutiPhlPRJQVOcdyn/87hBu7zWyXk/YUEKCc2TOjRXwR9JdNPOFn3BX9QCblWuY8FUrg64P1tIwWYkFbDxgaZBKn4/jF/qW0GUKvhGWrk+QeRpfGqG5m1BX17Y1FN8T0GwSxMRAzavwX4B2kNRbT5BqHR4daIzdEHMCu5xQGg6QZ4KQuoegkRBUR6MH6wKVMGuCmxRpUGhQdWdkiVhcj5Bz23XxgnzT0EGEDbwEXV/wbGg23guwktB5qp1R3NzX0Gi5scCUYJXQQJjUS9FwSDBP+8kfnDNYUHZc/yaxBFUQUJOGCkdspZBoIf0zjoFXEG/1useGvo5QUxJtIzQIHpBXkjqVsNeVkEqUnXlZvBXQb0SJqCvuaRBYVu5EqvdUkFJAcfg0bR4QdZ0euPduVhBPnPro0kaYEGj1w04EHZlQWxWi0M2wWtBxlN89TjdncGOEU35SCNQQQIA+kpgvGVBWGPVwqg0a0GCUvf7NrNhwYyQD2SwtlFBdt5ELi20McFmlUrGDrGQQdbobVJVMVJBrR3vkU5BZ0GqNgz4/ixxwYzfNyVhX2TBttdcchS0GMFLEakRbed5wdfTH+4Z9mFBB9ouvBYrpEHAh9Pdh394QX2UP4mRJ3xBAvt2DU21MUFyXSAsV1pRQRoR1qRTljzB4fgqcPE7T0EATp3KxKtaQbUJJqGulcNBiMQGqi+aOEH70GRUZwlXQRPNX9PDGDxBH/j/yC90ZkHVRUM3BYQPwZ9Hc4czeXVBgS+1kjdjSEHcBV0EE0pcQRiYneYW22VB/94bhRAJRUGddquJ/d9OQRUW44Lz9iDBh9MiCo9/TUGDawe8qpduQc5tyfEtE2lBiAe3wGWpZ8GEIme+D5BDQY4ZaBn4yVNBtarurDwso0F07WaXmsFGQZmflflSTGVBhPPp06Dcf8GDFsne/tRKQeyn0HoYmjFBcgcf/WO8TkExQkFEzClYQYmT9QhN3VxBtMDsVnr2e8GY8F6V2s1MQcY0KJi4NVfBKq9lzMaVV0HY9+odNPpeQUGQExvY7VNBM+OgFUhJqkESt2H9DlAswcZCV/45lGRBAqFAFAb3UUHPAqxWildtQdoH1amFlGPB4j0g/o1MZkEQUQMltwIYwZK89niHKn7BNbQjRySxjsHUad9MBt4ywZaIj9lgPSZB1qMnDLY1UMGDtLNwwZ1sQcR1DRD4FHLB0vuOwuZVPsG+P/KC0IBlQUsvylg2RHBBtq9scLlIU0HVT6Bz3KBywbclg+OZJ4rBwCE9EUxBZ0HiNjbAiNA0wZz2cO2dMlhBhMCzuNEuV8FEye9oMEVNQUnpuIWET2dBpBhfIkWliEG9Rn7mBideQfpoP22awllBpPgsQdE7eUFei+kR+/03QUwebE55RmFBcXr4ZDdBMsFCEkFHEqRGQfjETzdU3HBBlbqR2q6qX0GmEKP3P89EwQfxq6og0EtBGnAiiJWltEHsN8+HErM5QXYZ5I3/tVdBBiU5GWJkNkEO2C3oXN1ywQJASPORpnFBWvkVa6ZcPUG8ZX0Dz2tzQUv+sDpKp0ZBMJXeX6mjY0Fqqn62oHT4wHSKOaFOLldBeN3xbInHIMHpnHhGCB1pQXjkqjI8tlRBQop9ZpeGdUGoVpvYikqNwVgZnWkA4E9BG64fIEmOZEHMWlSE9LtjQQN3wHF2dVrB0rlrrTWNnUHybJh+ZtVBQbV1Od1ZLGVBOVnstIODW0GWJmo4tL8nQRjiTZhs3XjBMmTOJEXOaMFu9i2TU2h1QUWacdi2rlbBMsb2++xxTEG0FVVFogpYQWuFkBUeGEDBzCDqEv1fP0Fkd7pXURoWwTNroik19WrB4ktjqhtfWsEKglcxYp1vQQiKCkPXcV7BrJBDEdNbOEHmDsAyBABLQWKJmUkESnrBeKsBZ+8Qa8FeSqbIIXR9QYSphBJez1pB6UMnB3rSWUETHjd7HqZAweKrlbdowFZB0AmU3kmaTkGHH6AeoLmWwb2P9DdR1lxBsQCwUkKWksH2YIrBA6REQazzE+8eg0nBqtV5CNCkSkGcro0oxZFkQX32AN6maFNB5AxLISILU0HsqYHLXbG0wcT3hfKy0TNBHiT8bkKpRkHdFweCRMx2wfF1phWJxE1BWBGcPizSREHxu/a5DEolwQzOE97H2ThBje1DWjHRbkFe0j+NIdVCQZfJDuY0wV1BGPIBbPiGXEEjqWR1XNchQRx7tTTDG1dBEEafO0tdWUH+bF6KsWE3QRgg8WQnfE5BPvQ/Ce8YREH8A16pXaJyQcWCFCY6yFzB3rP1bzcKVsGCHqqmb38/QTH1pG5YokJBmuhXh6ZncUE2bqxYLfpkwUhuv4AG2R/BEq0MQ58eecGUpuaMaqijQW7En58HpEtBhOboY4AUS8FBdY6YcpReQWdcFSfYdnjBAPIztxrFXUGqCDmt6ShOQSCtFHdt8BNB7F0FrZ/mQUF+x/N/MvFfQW+NPzSlYlrBZCk8YMw6h0FPWi3nlAF2QRb7ZzTBJl/B3FbuCsNvg0F4fMAuo9ZhQSpppdIBFkVBmn9KVV7vVsHm7zwQZCmHQZvDWhDEwm1BWLvA+y3IcUF6WbN9GFCIwat9hjN7N2BBaWstSTYcVEHrK8q9eqeKwV70mrfoWk1B9x62QMUxiUEsQ1s9FqNTQdhKnx9ovGFBjefS29qRQcHRLTkM+NNtwQAsdofTc2RBQ6Oh1C38SUEMhZVLdSF0QSqHU/qvwkJBqH8aynSANkG9S45QEihUwSP02vWgn2FBnloa4+2qQUEu3ApVPEByQb9jx2RnhnhBWAjj/yCyIUGdzGFxgkJrQX7XJtXaNH7BvnbpDptrlsH4Wc/5KAp0QT4H5qsMjGdBKjuhYlO5YEHPLyICI/RPwQE+lJBB4GNBFha4txSkVkFu5JXEUMenwaumpk7ceFlBymnmRXBGYUGSAuqgHKxeQeNHBWEe9m9BjXdbk1Vlc8GQk6WUcSKRwe9c+uWa/WVBY4MJBv0mTkGuegT8LV+SwawKlkeoXFtBWfUAJ5aGT8FgvHD4WsLVQKM6HKLQqktBGM9S40bBk0G4QoVs48OGwYA1ZuS1KVbBAIUeNa/CbUEc50hrAaIFwU7+I6wFoEBBrM2bglQWcMFayMytux5CQSULmyBPxTFBmPhvHl6MdUEWXTDMJnJNQfJ/FVE9Wz1B8VBTxuyOQkHu2LPqhlRTQbAtrPilmnpBLO18TQTJS0Eizbxd/pRAQUWhoioU3FRBZgNJ6VRIYEFVgXN7dKBNQYc8ul04zHXB9m+IHkNMT0E+9lshayiFwea+6FpBe4vBXNlGvr/dcMH5wdPPGyh1QWEIogmlLCZBBAe9kJoMKcH4dVg4WKCBQbzDGD3nfnhBBDXJBWS2WEHgKc98G49GwYHoygOK5WBBbZ2nK8EwW8ExPGlWJFBgQT/McAf19IxBJzWDlC3rZEHkZgoqZOxzQcDkYzjF+ZTBCXpcL9HkZ8EaCa0Oz8kKQcwLyiTgEktBPtgzIUUsT0HmjKaxBJlTQY3vDL8bi1DB+T7Vh3pZaEE2zcVUsRNwQcMCHOq8lFRBJy+tkzFndEGOV8BrQt4yQVZZBlfXtU3BF+2fqigTXEHi9BmCxLuEwXy0zIHnNWJBnAzlW6V4QkG36NveT+1sQR8FFgV9uJRBf/oBhA7rZkHtdKz176B7QX3AvhI5nFxBeKW8APsRV0EQidWCigdNwcZ8qDGg+GJBQGnbLo2kUUF+DcwANFZ4wZ6L8QPSTUZBzHT19G/8WEFmLRy/YIIWQeONi7s2CnpB84cELeiyXkHYQm0IuTIuQfFym9ySFlBBN+tSE+JdQMF9sZWmt0RkQQRey1NHS1NBcsI4diBkQkHQnTm8qBdzQdK8Y7KgjZdBFWbiY4DpgkFgz1iCL9FeQc8XIW+KLhlBQo5SUT07YUH8dpWHwSxZQS2LEj7Bqj3B8p+SPATVU0HmMgW4wpJrweo+FSeNIHXBRPtK0MrrNkGQCvUOZq1WQX24zV/c5ERBT+l1Y02nWkG2oMxbjbFYwRyKd8gp2VbBJAIkUz+edMF2j9g0oznTwc+O6Ly+uFpBZwlDuYLjb0FblmNd3ZGwwVr3iIFXhz7BelFGJnIYY0EKRIx05o9Ywe92bRpjjz5BOYwKDk2iYEEqCMLfDyF1wWgjCnBgrlZBysqYtH/V/0BC17ArHOJWQWH4KZ+ucGJBjLja3LGFgEExKK6Vf1g4QUA6PAcnJETBGMkz2AlLY0H28Lt6Lrx2weU0j45wxFJBiNQ6x1k9W8GmkORbMerWwXBx7eZP5YHBxp620xWujcGgVlob9vqTwbJ8I0KnCsRBMsdAMGcnHUGUgsu/wwNEwdDjBdpEtl5B7v1h1yFLrUHPvlAWs/5swd7VPWWy9dJBtESH6BUlQ8HG3fZcpf0pQVS2yZp5AVlB99Wh3BNHIkGIy51yYCJcQZq99Po69nFBzOlOHkJQp0Fr+WZwgtKrwaU2BPAbyKhBFu3xxOPsc8HdN5RRFjtdQSlBqaEDUUNBxUThSB5/k0EpyVditzplQTpBnRp9DFpBciqb21p6YME141NWs/pXQeZx8O+Z6WRB5v13+KQ7SkG1c+bRXCxAwYSVA5/g2JjBWNqaMrdJRcEeQ6s7a9pZQQbbKZHd4V7BqU+LSl+mcEFMw06Ljr6hQUOhBqmTDnBBfEuq/j4usEGAp6/LFD5TwToC5+yxPlVBRMeAgOyoZUERRkYSBaBHQV9NpdyUxWFBy7CaV0NCcUEh4EjNSF1AQWrxkgTPYpBBXhOHD2LnicG8kt6GdF2YQa0MkV3RxHlBlOsVxot+wUGG/ClHVoZmQfg0IxzaFK5Bb/Zo32piiUHtlJwILb+PQTAqt99KuFhBJ1UD08F0UEHAtTJeIdheQa9gtjsYpGBBI8H9FUJkXEGXSjcCx3ixQVOcHo9S/lhBjxDAor0/bUF/1ugQFA1gQfs4URMmwGjB5MQlThQ/XkHsfN8omTNMQfYCjuwsBmRBgiLaFDg1d8EwKRmv5HZaQTNAqb8FlnVBdN8pdN2/dsF2kzIEPTE4QSmLh80B5lhBfOGtHO4vSUHfGGSumSq0wSisiZEhBERBEqjHsfMwO8HAQTgVqeFEQXEN+cnm8kpBr30OoA4BhkHFJ8lV3ituwdoUlu0qYTbBOD1JqTFKYUE+8sDsAZuTQaA+UdYnzU3BxgwlCDjJVUFet+eoMouiQUDNutGmE17BxnpkjEP5c0GdZTWSXIONQW5u5ucZaEjBfRqOQhlJVUE2DYukwNlwQamNKcxVcnFBQRBxbrRuMkGS000JRU9iQdrxFFHiDZTBZBddn/3kg0Fh4CPuzqqhwUfRUTnsoFNBL3HADvE9ecHQ7Es2gp5nQb/CSYDQGFdBgorCK76kZUGoSeQooKFTQXbz5rLIbIFBCWajIu8LcMGV2l+Fr/hTQVwdbsjJM0RBuE8YKN5rTkHwOoaERa1YQcfWS3D7NpHBnnjOfqzUg8FJ/9xMSLRrQRyQV74DwV7BX4+S4x6VV0FIfNAFtidhwZdaY+sP9ntBkx1dBvj+YEFCCKaf2fJAQRWdZPGe+FlBqKso0+tKTUF5n7CyIfcewZlJxWH0SztBgs3DFdBIZsH/JCdVBKtEwUZXv2CRgElB+xkzuT6RZ0H6ihGkqodhwYKfk5nKzT1B4yGieblLlcG4ai3lxbBTQXqV+jfp2EtB8JE+f7gzYEFpbmUiK9t+QUu/nsdYw3ZBLUDIDRGLYMEvYZ+7+vh2Qc6yAuggkGNBFcR89vVURkElscRxmQtBQeWh40Gx7EdBzege8r7XEsFs5Ivn5C1qQedF7rOmHo1BBkDWyPRPVkF00Zt835dbQeysdy5ua2VBY0dbYXEUX0HijDVucjtXQQA8Zdfm50fB0yaKhHngXkGcYNmDDcuHwSt8sNp+RWRB0mRXQ4FTNUGcnavjQ1GBwRHsf19Ut3XB2IRK15a3aUHvzA6JBluBQU7yo+wUtojB2/Polp/zRUE40wvb71Z2QXkqDZO59EHBkhQ+uUjnmMHk1afkoU5qQWPqV6IsTFTB3khytNyLJEH6mAd6oo5jQQLr+A7jKojBhlP+MLL6PkH/7k8RUYFlQZr/HPfd7VNBXJXqn9O4b8GGbQHmGtfgQfyCWp66fUZBlMOkwe4/k8FteTuZEzRkQXB1a3CzI4PB1vIW1K5gYkEwbfvnxQaAQSU8mdnwKErByPbikczgY0Ga8hY1TBVFQY5dy/Ve/qHBYi8SBOqKX0HHyGg7ldBdQZswkaUK6VpBz+OACB/dZsE4rSyhWBxkQaCZrLzS7spA9PyGMerKQMEz+q3FwkZQQZFxQtYqZXRBHnR9mVVSYUHBezceOyeLwekSspoRgUDB8BbHAtIDW8EJzIwZriJQQY/+eNlxs2TB5FK8mbWzXUEkEwljFHZBQYV8+iR0jWpBvnlo5rQLSUG0dMNxFsxQwWH6J4dwEz7BFr4TYJ+EhsFoHm7m0fFhQY+QQnfwEsbBEIklpZrTfkEGCoKbOjlxQUL78i1PNXfB5choAT9gXkHcjIt1QS9zwTg6lq6GwGJBz64QGZD1tsH5Env8qJ1SQXgrlC0rY3jBT5+KHN8aMUEFEKj9mYNqQaC6AIcfDA9B6pd/h+Y7SsEqcx9G7fgrQVFwqWhR5IPBAFqIp5AqZkGKzYwprm91QRw4VZFn0FxBmjWMP2VBQkFdhordQEVmwfan3ib7szZBXNAJp2KrSEHelWk8Tm9Awd6IMNY6cGRB+tALOlrjYkE5ZMmrSAWFQbMKO+sRt2dBiZfljRLQWUE444NwcGNWQYZekI4A6WFBqBAXVMRRekHm8BEQgBhhQdLGgJT+I0XB6rgs3pAXX8HRn7xdYqdVQRKIs/txQGVBQ9bMSBnUQ8E+PcB+EZ6RQcG9vf1ZuGxBnI0J0JBURcHuspCTXQ9TQTliX3oqBlJBbSIVlbSSWsE66liHABGYQZB9yg2IX4ZBMUqmadXxHUEhY6rVwDk3QWdLfBSq46/BlphWDJLdY0HSntW4q5Q5wVDZF0Juj1tBckN2mve5bkEsNRncRqC1wa6dRRpan0XBSyVL9k0tbcH0OGspxP1HQcoDjV6m7XDBp7YDa7a4TUFMzjyhReBdQeKcr/2y7YBBSd7UXzWxnMF1TqWjROdFwYa6ruI+5VdBJw10Kx7ddcFwaHoW3p6sQUpPef/lhGXBYcBIjnlfSMF/N1wrunVeQR/7xEJ2IFpBsJsvR8OvKsF64j2mO7pVQe2Uzr1aqVXB4RUyI8THmsFPc+nRFdUowVg9wrd3gmJBWib6XyPbUkGQBfQ4MR5IQUrH4et+R1FBsrOL3bhfSUGoG6RZQgGUQQ//NtF3OZbB2kkwbHg6UUEn4VSvVT9GQXzSQErCqT5BfywUGIP+WUGlo++e3IlYQahT9hmcfXPBvufyrIvYVUEqDmnldrF3QWue2nmPd2lBQq4f7mWpYEHBlFYrtR1BQTJE/CYFhltBbtpgT1MhQUHYQja7gMH1QP31StN/mF5BIAxEGZcTvEHvQbBv6/aFQVhQCanjs5NBRhwugF/pEEFORG4RuqBswei2ADqybGXBaCcRV0bvV0FalvHVn7oeQQBsfl2j3JDBr7mY1PymkEHrV8q06KUwQcJTJAqq7bTBd6P9SnTBWkEK1F5oNOQhwfTsMAAAOoBB4PNqx/oJXkFIoUBZf6OXQbOOcTCssGVBJ2OoUK+iNEHwWeGPZUqTwbX3hHL88HtBlmKXvPQnaEGIVL/tUIttQezpig7fyEhBLLUUYcy2UEHqV7hhvIdMwThi1zwwf1NB0tiXK7X7Q8H6GAobv5BjQad7kz7uEEJBik4SE77eNcHQmXHF0RVBQU63TvOaxaJBDCHJiP4fQEG1g9cA3qlLQaa2NNZD5mJBVdtNmzczUsHiVmk7dS5XQZrgFMCbtWRBrWp7S55MVcEAAqyY/cw3QaNtIlkwj0FB90JqxSwcmEGmvicAjFxJQecvpUjE6SVB0uWZmOaboUGMYQTSe8lAQdPI6NOzYbzBOXLFubppdkHvcku3fwJTQeWDejYIqmTBk40rA1IrcMGyDqjwmjV4weZO+ikVljVB2HsnEznNpEFk75MhZzZMQeZByYwsn4DBaMkl+5dOZUHRhXr24HtwQQm7Kexc5lNBWgQhg0I+S8FuImmyG3YiQYwobOmAE0JBz2GLOT21XEGon8fROOFxQaw+x5kM5WrBG3HjZlSUO0FFsrxig1tnQQwsLkUPhF7BtKqOcsWmYkHdethbBViDweQE68GEqEHBCAnEhaKQckElwpgtoYxTQZiMm+EoyW5Bm9BVZ71W78ELPknMKMM/QfwYg1LX3FVBDYW31m5lc8Fg7UfS82BBQap/3XwJ1WFBqqVzKJnET0HK2lqoKD1ZQX8fA488/X1Bm3b21AYhiEHmIVCGAf89QTDr/y29x2DBFj+KWMCPV8GSbADkQ59RQfrp7Bx510VBzYP5APfzfUGSHyhJ9pCsQYCN7VxKsTPBCp0hRcHTekHPlvpz1G+jQUtZ+pSBQItBU8TUCHjHSkEuUVw/DPuiwehBprrgtIFBK1zlO2QqiUFGyf+ZGd5QQW2s9M916ltB+yDX1T1AZ0FnoO6E/aw1wYlJdFvG3nxBlE9KfJZ0oUFEIt2+FSpWQdJwhSlODkVBZ5D9SnlsYkFYJ5kFWDdyQfgYjBB5qBnBwPOe5XRRT0H6M2EkXQOiwRaXXbaNJVVBITu+d21KJEH6tlg/HW9owetJz5McBHNB9OlR/p+JccGpypcXvOokwWxYwIG12RnBPKz/z36CgEGVqsiqElOEQVZwJjSWNFlBBuzPssXaq8Gdr9tBhv8PwVB4F9UVo1JB0m1F5vomVUE91mg3ZICCwQkWHfux11JBQr2y6+5AVUHzCzE7qlaXwfLBh8Gi/lVB/NUNqE/KRUGmRGFTTT1mQfyK1YRDV2JByJ/IlrT3YEEYmjwQqsiKwejMFKcICqBBp66VxH3JYUHM9ntKfv1VQeKoHZ91SGHBlPbjd0+1ocGHnaEAaXVFQSqEBX7URE1BdBuEQn1/ZsFomxMpPn1ZwXnjPLCGhVjB/iO5T6prhMFcVeIwVQhKQQ5nLSz9zVBBqlNEsNasK0EU3Tub7viEQR6DrbJn8VxBYdiq6HOWPMGHj+CRQ4NfwZ6inGpwjS1BNkgS3LuaYUEkcxp09xARwYQK1UQ7IFRBamUc/7QXVMGAvI+rd7uBQUzMsoRB43rBdDk5cg3basGMSZ1ImNtRwXXvbLs3L1hBIMksR0EQXMFoH3jIaBQ/wd52Q1Lw9SZBEmlynbXla8HQN/bG7T9AwTOniN89safBIQ/jexkBncGaM2uPCIZFwRMUCTmxZ4VBkZTnkHf3PMHsEBR3njiVQd5k/LYBSm5Byhvqf0SpXEEIbM0gmuxbQbiQiD79unhBLtM6KKcCm8ED2cnRpJdYQTu/MeLmGovB8flQFu0fdUFbyj/HcQOVQbxRtOQDsH9BDkJgJIcmX0FRjDLFDCp3QWV4ybyiu1tBVdR26OAgVMGLtKFb0sdiQQh+zns1FFJBDyyG0BB3bkGwB48xNGOWwSfm/MqZ+mVBJfWeXKlKREEy+uXOzXNEQdQBP7PyNFZB1izxOjjqWEF7FgmXBs1FQdh0NxLkFFRB6tbBU8+BfkFm1wvL74BKQWM9jCPHZlPB7CbW46TOSUHFWEWh5T9VQQDLMDCm8MTB3Brp32qcYEFOQTJ3yP1IQVeB9HLail5BtPoSd3SRYEE1CkmjkXoywfKsOemcb2fBFnbt4dHRYUEkLRYTlZ+fwX27xu5/b0FBXaSYtDDTvUEtTL2vO7BUwTMzUFQfS01BjtnQmtena0GcJh4ONJdSQYYKkt1r1G9BeJUrToGHQEHNQCbOjJ1DQVLuKawWVTbBTurrGziNO0GkIeUj3WOGwUDZdwaHUlxBgpNZysXPTEEppVdazxtLwRn0q34kHVpBbXODzslNQ0HS2vRt9ElSQQW+ZDW10nNBLaDlnHQuX8FCPOR4OJlVQRGo0qX4giLBS7OtfW7HPMH2UE/jbpmUQdsb8zXZpFNBFZMrIFFQJUE4ddSNF9nDQaJ2rNkiKkZB2Ze4F00OcUE/0HhSoCBzwYj8fnj+30VBAJG81crgSsHTbpwMCgxLQc6DxTDPg1lBCW9A7M1gmEGG1b5h6qRgQSyAj9H1ciZBhPCgJ6zBwcE63rsy5kJBwTo7nmYSe03BFB/gxgwnNMGGUGdC7SBXQbdCyzqp/QjBXmgrLBVqAEESDZkun05LwQJASgnBA39BZMoZ4mJbY8Gt4BYJM35bQeoUMu57TVNBxDY07c0e2EBSJlsfEbuhQTw6sKem70NB97uvwDzVyEH4wA/0ZVdCQWE3JaPeU0RBJLkxErT2UUE6TmMDCL9RQTJN6k10OklBGsgT6olWYUFMprw4AO8ZQYy8ZDYEU2XBK6vzlKfPMUFli47nNntQQUrOb+Z8amVBfdvZQvBJakFQ1oV2Sk5UQfcGk27l38XBdi8WV6GRWEHm2Bcu5/pcQUWSF1AF7Y3Bb6mY3Ny9gUF2fixWXJ1PQYCGs4OZfHRBLs1SLI8FS8EHnrtmqHRQQauKO9PCNCnBS8hmLapdosHjiUz7WeFTQeZzlzBl3opBAkWE3YbdckFydYnlF2twQaB7EYqcjWVBUF9oXBZOZUEvWOk/FjRSQWYoONKm4zJB/2MnBotjb0E9IYC8+VVrQczrtmKEWqhBMmvNtHWbiUG+GqgAs2ZUQQmHL3JQFn3BdNE6ipOpT0H4Cyn5XY9zQXoyvOGAi6RBs1jpZyCcacGYd1bSxhVbQSBooO7GVFBBPntO/2Pnd8Hp242fbj2EQbcXBTs1B5dBbKji2Vo3Y8FuEt+LAXmGQRDWJ4Vw/IrBxLontX3MR8EIjrJ1EhZOwS6RmgEx7CXBDc6EVDfCgkGwzbX2oSylQaKF+8rZwXJBgAxgCeGRUkHP8q5/0kJUQV2Epxyb34RBVwnyrRWVZUEmZMwcQwZ7QX/RqFvA2kTBYG61hTAnocEOSt9uNUZIwZQmcHpuhU7BLLNL8ct0VEFOUSOs+QIXwYpAFVbooDRBwtrFl+mXZUFeI1ZjlAZnQbzjIxrnzHhBqK3ShAl+o0EP8HEs5PFeQS/AdYcVB5xB0faEsNamOUGGBbLP3WxQQXJKCsY/S4FBUmx1uu3VTcF5iTSmQaJeQVqewa/73jfBrLt7uE9oYkFylD5VyIlHQWCnIlijKjLBIFaFwthnKMHwEYZfqoN5wcKmcDLDnlDBnVK6cugRY0EiDrLRm2yUwXWMKeRq1oZBQqzCXFtUoMFrCD94YSsqweF2zITK9ldBAEqUGxeEv8BA9h6WqsxMQdVGRiZcLG7B5mU3NThUU8GPKVfb5eGWQY5bLvsvyivBfDT3j4pSdMGsfoPAtCWBQTZiHjYN+XdB4B0SZoYZdsGfULtTYQhnQUBDrJLrL0tB707u3Gk6aEHEcAtxOY1nQV5af3TZGKbBSNKiCearO0HrLFy9Stm7Qcj+5G5J0EZB5ok3EbezVEEiWvueCitQQcasE1k8kmBBegjnoNLFWkH2Rn9YW/lFQbyh+yKBCVJBRv2iTHyhdkFrFwVwNCtyQRR7iI1Mo2BBB1RokH30UUFLydlUAIN5QYjDQePBUUtBqy6ipHwHhkHev4SjX65cQT1eAYSP61NBo9YoJaUbxEHFPZUCDN5UwcyGTbicPBDBJ3kAmdwXiEHS6GDARSEWQWT3ohwBBl5BN58Mj6lZVMHNG3zAC4tEQf/0ptbBT0HB0OfRGWK+UsHX2T74qNxdweblzSm/gD/BcERbPMLAjUFf6ETlGOdSQR0jHsPbrFxBmFyenGCdRUGPFFYzmc+7wfBKoz4SVxfBStVjAUwydkFyF5q6mI9fQV+iNib7HXxB8nQ02yakfMHPjJNukghJweQxIwosWXtB3mYmS1zEOcGsZu97gDqKQcrAM251xUdBFeMOeJ9ynsGkdYtL+RtsQV6lp2TNd4ZBzZtMoM+rQUFHTexJV7hhQSrbvIz17G9B+HzGsGZiRUFNXPoyVaqBQb9ucEb/yzBB3JkVOR6nd8EJmZm8DJy3QXRmRGuY0FxBZvypUgWeY0H/oB3yRB2iQVghLDsXAlBB9y+oX7j1XsGKcbIQI+FcQQVSM9ZG8LJB8OA2LN6JkMGi709bJHAwQYXP9YI7+VhBYv0eterfksFSOSnBqFZbQZh9WQbS1pRBjNgw5fWRW8Em91yNLVpUQZz76TCYBmBBhDYlvzfYqkHM0XdtYVVnQUPgUUd6NmVBCJPQaCsWU0EppyxLEldjQdQh/eczvU1BpoxjkqVHbkE8Jf9irQdgQWfa7SXJ8YhBzCYRff4gEcHYgk6owVxgwSMPm7NrEE5BspYfsgUwR0E4MideCCZYQdpWoZJ0rUNBHuSV6sqeUEG4cO35OWyXQf2xIiNiTnXBeK1M639Kf8GbCuHMVeJrwQBGShI5tqLBW5IZUQEpXsEF1/tM5W9jwRDyUw5Ua2FB1g42PeCgVMEhSTdGHDiAQeBtDUYuuuNAuIiZMEA1c0Hc3p9lBUS7wWxVAY5EEmpBP55wrG9mkEF8+2wlwIdqwc44xZo+ZajBxuV/r0CmecG5i+3RFKh9QYvL2DVVQD5B0JVuWQI7QMH4L6+EaiA7QSQ9dyYrGXxBwBrNh72rSsHSGRzXWbCFwSZy9hwHUIFBtGzR4tv1RcGtYs/njWyCQYWX8nCfDE1BXtHLCSY5IUFJWcgPtPyhwehmgNrXrkjBxDJFzrn1aMFkgrDqLWBaQeTWe/8N1oZBmNmJ4F90b0GSZLD/KDxSQW7Y6bga31tBfj/ml8a/hkFZNsN9XLGyQRZIc66IElRB7IUieQ1KRUFvE4jS2xcxQdtE1W4973JBR11fMqRGPUEY3LEMrSxzQVd8kAu7BylBLhRRqtwXckHoIk3cNy6YwUmreMNpbxdBahdp5F0El8H13dXUaTBawV6HY2VVsTZBGU1YMdIAY0H8k/cVcmxEQVvKL70lrJnBT9aeRJBAhUHRVAoQimBMQd6hhcplq1HB9vhbEMbpt8Hc2UdK4M9mQQX7w4tg95fBzK/xTNYWM0EKivbOt9owQWCmh2SGdklBOQjUksutcMGH+aETdakzQRJPINXUB2VBeLR+yKGpOkGq1yVadixlQT5ip4ggTkhBJ3movoJDXEHOh6iA3Sh6QXIhzegoN2VBZGuEWw2uWEFMH69bsm8cQcCBeaAE8nDB3yBWnzJyZMENzZBxjU06wUecAkNKMFRBA4d7Il4QY0HttI39uqaDQaroHNnpcEVBPJCM2Y0cdcGOsi7cDmEyQV3X51/uR8tBdgBF74b/ZkFyUDMqed1jQWKb7T2IEFHBkaH4xLjkcUExmPDgIMtEwdCipmi3LlFB44Y6SOPPHkFS7ycYD8oVwRQJuHc8GE5BlBdFCPXagkG2pv6gPAxkQbI6mwcAOlhBReKaRglVf8F6xut0vl8hQUjvNJ1ha3NB2Q+bsH5bUcG0ws8rwPJsQQhwAZlPP73BRm2uXRELUsHW8jTSvLVPQZX+tnbBzJfBXiLiiwgbYkH/LFNYqqggQU2UMLnKKFhBdHQWhkx1c0Fq6jGTduNpQclNLwBxk2FB2YX51uj7TUFQ045aQKFcQULmIvV0RylB+MmPsWc9gkFOgIm2w1V5QQWNtOs6m4nBKpMBaEmjRUFQCMU0FwvAQTnXrcTqvFfBfMu9rTQpWcHZYBn0/SxxQYD3nVgtUZfBxCY1CklYSEHYKqv+G49fwWYHfXNkCHJBqCnrmzhYO0FHA9AIevl0QRqtLTOzOGlB1LrTy5ZR90Cfe8kjRQteQX5sfgQuj2LBAi69MEmjh0FmIPI62P00QahQT14u0FpBpsM09if9YkEso9Qi1UNGQRrsGQWkylJBQ2LmNGTxfMGKdcWvWHdQQatUhrjW6VlBbgI5IMx/YEFtF826G1FPQcIuG+tWVHFBExeJvX0iY0Fe/JBDRm99wf4sgb9IHDfB7FtBs4W5O0Ey73wYGPyNwX9D9iM2XlBBvAScjTvNW0GFzDLxLdQ2QWBSEGVt60jBGDp8EnmpSEFakznuQ26SQaKJ6joT3X1Bsl1DuJmsZUEW7AgwlC5SQbyckdNH9WNBDiMo7G/VcUHaYKUUBh5lwY8sEBq3VFRBwEG98avAlUGQH0lvls1kQe5rBF5WJ0tBQL1dC10a1MAEngliJ5SxwVZh4TEipGHBOjAaHtSlwsHjmd75+AlcQWwJHVMOwGLBfFKmbFiSmEF5XOr9XC2EQTVqPVITy1lBaA9WAJ1YWUG6fpdJDhliwSi4ITwkc15BlrM+ZnCRUEEcUCCsHGzhQSx3giMurbrBjoJUCbECM0H2bkFe4RdyQbNENdJepZnB65NVNq/LWUFQAtX03RF5QRalRRbnOwpBYvFjE1fPU0HtUmCQ8aCGwd+DIk2NAXlBkqdDqwAalMHa1x+ydPeEwbkRt03HcFFBBBJ7xr4RYUHiIAxcjNNlQX+Uc65CZn5B5Yx6kxSDecEKRMAp+plOQZbai/HecCRBbDevwVEpwsEPJPXX3Ik6wQS+6nrNf2NBZWyqfCacUUGVEEkDjc9LwTsBFcoJR1DBBU9wUYZvSkF5vW+U5iyKwWVnf0hKLnbBnvIRIDcrgMH0PWy2EvhcQaBvnJRTZ4FBIQsOyS8OZUHausnhkLJhwaft9VYNZDJBmwBjSKzNX0FSbopHU+mAwQZ5RrORC3BB7g4F/ZwgfEHS11mtbHU4QfPoUdjraS/BakDDsDbuMkEv6RyoVNNYQfy7I2+68G5BlTc3j8BbGcHaEJnD3xdIQQuCJ+2p70pBNgmVrzlUTkFX2Vpt8UBYwSbj1GEQ5HBBIi7HhypqPkEH200gZSyJQVc8G44VS6FB3cyWHQNPYsEZgdr1XJBSQXX5onK3rETBngSj2RhwlEEoPjT3nQpSQecn1tx3ETrBdHu0L+xNI8GVzgme4TtgQQBxlAMFBoBBVyG3iwXVcUGYjBrft6NgQYh3pXuHv0VB1VURkckZR0G+RM7PEabPQMpwMlx0glFBxE7QXEIeNkFnlkJ3hlNdweQznc9y2z1BFrsZufEKMEG9cfhi2JBjwTGZ7ucXi4FBhpyuKIaMZEH8UU+/OLdKwVIq+3jyJ0XB6o2FG4P2V0HgP1l55ZxRwapbBaCZrU1BLjNms/RkaUGxPONOLmNDQeh8lr/J0WfBzQPby2Z6dkFE9LtvZAOuQb1ihOZoNofBRPjjK+OAWkEuSSUvKHpRQbplUNA3mVpB6TBjflIQe0ER7Sd5c1U8QRLT0MsfEzFByhqDMG42WkEqn+gQ9jpUQX3/qfrns/zAjfm8bOvXU0HQl3MBs71XQUZjV3n9U2DBkVB7IGwzYMH+LJrh38+eQRz8Dh0penBBfVQWfqV9bUEPD/c5TjxPQTzUIRyvNkpBcTcm2FzfVEGNEPJPNSZPQb6enTKaFz5BCA0HNSJRJ0EfHDGJwW8+QTBCal6bCUxBfnTDfGcUhsF0eHPws8R1wWz/1vGbik9B2IgUUe3WZkHLhkIh89ZFwfQevnSpj1NBzbEcMDc7ZsFxPIp6oyUnQQnW2q6D/kzBguuHWHDab0Gk19wEhJn0QPa13ImkCURBJkxPY/O6YUGq7g/nZH9HQbBWhNQWWW5BB36n3gf+UUGo3CJKYbyVQXKriEUpuz1BBCqz26eYNsFdSdAjKi91wVXG2RXTW3dBsBa+J5NqfEFlG5hdG6pHQQ6puxcZRHfBVJ9q1A5fdUGAq+HrNctxQdPTqL30jHBBGhoIj63FUUGWxdZ95ClKQXiRbFSvZGBBWu5kNXPoQUEbbPz24BFYQQZZInyH2EtB85UCqOYBQkEa7F0ok/xhQaivvCuzrWTBMu3QqSN6SEFwkC7lwxNkQa8YeFU1s1/BKM+2ZsS4OEENugQ23fJgQZAt6/mcXGPBYbGvJPBCRUFsKIb0GO9VwU1Eq6I6ekpBPjC1qhgMb8FFKZmYX1x9QUqwZ33GEmhBAdQjpPn1cUFYD/x5X2+JQfGE2mGLqHxBshbLDbPmcEFukgoiVoahwa6vPxv+bmBBRPKfeLbicEEkyuUgzzXewQVDbL1YwTPBgL4lulCmXEGKlohLNWJzweCe4O63IF9BiLsMikcnSkGafCkZpwhowTjMFwUjcKzBfduiLIo/QMGOVk7CEn1QQSa1GaIBqWTBbm3zQaZXS0FrrajnChN6wQBhgHriPkRB0ZsElo6fn0FKinfnSLJeQUm7wtaNg1BBoY7McUoybEHUf8NvbdVOQX02PNXKWldBFXTRnXYmm0EWo+byEJJJQcL7lv9L1WvBRksQTwsRYkGgpIzlAL2QQZBzf0xEnlNBsyzUIX4KWsGVOxGQCjs0wfoRkJtfMUhBMm9jFPudWkGGFI66dxpMwSbQCQkiP4tBHS2yTx7lTkEkyf95d51tQfMFo7KzM2/BndQ5WQb3K8GuI6D8aF6hwekqT/Fv3FNBtsruZbn2Q0EDnlgF6Q5YQTAv76Gj9VdBeHLBn45Lb0HtWAolWl0ZwWDI6IFUAnxBdMdF2th6TEEMIL8/qARSQUjR0WXg2V1BKVRTTD1ZVUE/vi0ZGIdsQQcPRp/mhlRBS9dXdmzBbEHwoFsF3rNpQcqdQIj8KXxBO4ijzHB0lkEUn8FE68WLwRbLrMb/ghlBtXpnpS5WWsHOzBLyu2FUQbREWNs4/x3B+YVsBejoTkGWvngK4W+QQZ0EANcl31nB8fXxZJQVbUGQf/6Np2yBQdrwRqH4MobBOmP0PnjWaEEsr7AVW41OQQGZ3fNDemJBirKSgn8lZ0FIdIDgwd5jQRECKn//IFFBOgERxiZ3WEG+tI3ctEpUQdNMOgajCVFB1WoAQgetlEH7FlN5sQhwwTSRneMO+WrBtkGeNtnrPkHbg0auR6GVwe66t0rDyyFBWXA4VB1cj8HAa4ZQgewxwezDvGa40zLBfRGZzs0QkcFQ2VhFVRlYQRiWj3JUCivBZzSKQ74WdcGEWl3xv9lTwTv57/wvClRBDlWlA2NtV0FYJuC6irFDQchKUK7Py31BCRLNyrylRkHJ8Q9bUPpuQaCSyqLYpydBUZs98hmKgkFVjDJx1wlkwbg31bzTUmXBP2Bl/vvPW0H6czAYPCRlwU/dHcL8PHvBkF+YD7obSEEJPN+2JbswQayoI0NKvWBBPIHUGmKySEGJT9Vxh5lHQS+mik/rIGpBIksiI+JnYUFXfx1QA7CbQVIoC3MAY1NBiOhgsmioY0GcOgNEGNRUQSH30KQmYE9B/fZQjQ+dZ8H6QsiwLlqOQaqOkOBGY19BFomP6/E9I0FmPmj1fPddQR8adIZ70RZBo6jW32mVYEHD+zxdGaxDQQL82ESeL3XBJAoeM5+0g8Fsx9Pjs6hXQfP7PeicF0XB1kDsGVCUcUHckd8F5G1JQd+LQFeMom1Bq3cZK/eMN8Hyov2Tme5hwW72BkJTQUVB0r7Bp7XwgcEOzboR/6VNQd3uYlgqVJVBJqbHB5nCVcHRhumpNAI0wYoSQTytvWBBOLXotgXl6MEOGScRAQogQQcCcje+CklBxBzbqrvgZkE0jNStp7eWQU33qfpcCb7BjUyn8N9hKsE1ayGgd/ezwaOqe9pR5DFBw1GEticRkEGTuweYlWNKwRVqdy1LtjpB1UilriL6Z0EKcTLBztciwa0tuN1Z4WtBuH4SRup2a0Hk6caVWH+eQdaWvuMi9SDB9ghYLsd9SkE3g61X38ZBQRi8yC0m4EBBBqQHr2rSWUFsf5L1iIpCwVKIq0DcYJRBj3WB73npgMGy7humaRBXwb2cA6M3rWLBsNt1AXZ4NUEGjUxvMY/QwfPPY8ZVxG9BBOWrenbkWEHj2iPFlfZJQQj/j9ZmRzxBSfJlwLnkX8EQVY7D0tVdQV6b672w03nBjDZOH4E6P0Fz9DQ9G4NVwavKUjIPqzrB5iVVejy7g0GyxpHNaxt7QckS0bH9FlNBrqR3BoxraEHz8ECzSM9kQYCIZ9gMZHHBKqLI5zbmZcELoZzZIV9AwUbga9OL9UNBuRjEg+rLTEHfv5pVrMxjQQ7Duma5K1zBhQoDgJZaTUHRQzfEmVd7QS/GdBWtf15B78LDTNwJSEGUUOahQ10VwUpnKtnEaXpBNNyKk+J2Y0G/chZQmsY8QawtgJUnL2DBdAZkjOsdfEFv1K58aOIvQVcmfpcLhInBPymawB2sU0Fi/kR1THByQWZPkUb9VHVBoXw7al2dT0FoskqXF31rwXAvOG0cs1HBnVcXTNVTUEHkD1FV1fxxwXkm/9LWDWRBRnbwCRAI0cFhrMMrxvC1wY4SjkbG9i3BCAIDVFzLekE01uVNIi+AQWobmnMfc2NBCm0vcXYabUFiCenjJXBHwSG4bJWWEINBP745EdKEXEHCk6nAdgxCwfDX+mL63oJB5Nynu0Rfb0FM8V0zLjOBQRQsU9k1DWFBSzFogJU6cUEKRwqtMVqCwbXW+3yV2FRBqtBuVDsiUEFBfjpC0gGrQROxt1tf8HJBFHywjxyuJ8FAXcUAQOazQERk6G2ADjbBD7/QHcfnF8EVjB74EGJ+wWo78pnY6XjBwkNuDu8X1UFhGtgBqmA8QZKZlRFD/mnBLF0WSV0ijUGUlO/+Y/VlQT1+Ja4IzWlBciaPqQFuoMFgajtVEuZWQdOkEVujEXFBzopff5xzOEEs0lsJo06jQar/kzkpcmBBBineF1btMcEce/j11EqAQeBRGksnLHhBNvHYRyBTNcEzZdFQ3LiywVzpH9DowGxBWplHBbBneUEr3JryUUNPQcLDmlsnDBdBph3akKQbUkGCRA1CkgxWQUVjGXBcyGxBtLDd+RxGRcEKhtiNVBVeQYQhUt/wTklBTsBocAm5U0F3DYRWJ2ZhQS5VBGLLOGZBW9jUjhvhXsGKoTXOKG1EQcZ8BLSADDZBrrFhcLMBR0Ea3pCtRMxAQYTJAxIPI5nBUn6VHRWpKUFaIiWNdTZiQbDlLjrc77VBra4kPCMlfMG2RxVDgKN/QbKHK1KGH0lB50hgOLwaakFW/myn7dtbQfOYbpqQu09BP9oSqSAIJ0HygxcAnezDwaBKY/xYI41BMrZ9TdRMgEEGx4LZBXA+QZ6qQBP8q2NBlrVk32e1WUFyfRp7/jRgwRwHVCh6OmFBc09Ni3b2Y0F3f4l+DY9LQXNhp0vYk2PB8iwRvVl0YEGUmQ8fO/dMQUZ9KeaIVzDBgCVFPbMD78CcH6UMWM1xwRnuMyifp1zBo3LGnQS7h8HQRDPFzqlTQUKlhskO8nrBsgbev6ecSEGo0qz/HmxTQcbKaoUA1HvBg5aG/D44QEEyXXUfkcVWQZoEvcOYQHnBEuxaDaE2McHQTojG6M7BQT6PRegcB2RBgO6gZABLtUFrgDU/T0iBQZYcGsvy9FNBuo2Axs8QtUFO9BwjAHWCQUj+WMwRoTzBnh7znC6aWcFTH96mkZuCwT6i/1a54LrBBdHL6Kw7gsFl5S1JHnmjwUYMHdfl8UJByQhDQ+TXVcHiwNWDww9wQWKECHoO9yZBD4swtSZwUsGKN3m7bEu8wUzb72EnhYfBvZR95qMkOMG7gxJZ4AZMQXbw0KgAfyhBYRma8ZqyYkF8NRJTOexwwYA1l4culOfAGls33U1kUkFjXUsm8zxMQXwHxgKZLkxBQhTqcEXVTMEco9uWaDNWQX8MeNGgWVlBbgeXk41aUkFGunFuOM11wZhoEQWHsnFB0gMMlYS+VUHaJRhi51yMQdm+Auo65nFBSFA6ICyVQUH0idD2UCMyQV7TBGHRz53B0ORXjFiwg0FtXID1QUB7QUMWD4jdV0JB0Ih+7PSiQ0HoUl+R9bMQQdCG6FYrHJBBVPzOWElk9EB/609j5K0vQVCT5nqnQoRBbCGTKLKlUMFvLOQ6IukiQetU8DZR2bbBeqw6GyaeV8HGOstc889DQZGN9beE6ElB5Zr+S4gzCME9DORIdvV8wRzMMHfqF15BHe2WuKKIV0EpqoVQEjRTwRAF8wzLmF1B2B9UzReNWMEUexTFiCZ7QSjBEz4eKG5B/UKoyOv7UEHYTsrFgQ14wYBVbRJOuMhAhJ70JvWqY8HG+T/Yr4xpQf8h7uXky3lBCOu/EDP8aEErSshClzlhQbOPIK8xdyTBME8Q85uvt0Eg3LoKZlH6QOw005FKgFxBBgNs63AAXMH9zo0MXYphQU3QoPAyfdzBHN497xe6VEG+cdfMUoBCwamFIFpavILBNof7tRbThsEoXigbuGBmwQdjq0W7ioJBTNEAnMrqWUF+eVEfkUVLQQyslSv5HVVBCkBaMZWHOUEeYaQCYElOQc/s1yRVt03BdLbtQ+LD8cBiHIJaUoJhQdjZqKwDREvB7VSDNsgsXEFgHa6CL9MqQZMvPvhVaHdBYEVEfra5bkEWJAoK4rBVQeZiN23w9FhBwNinH4NOX8EtvRBw+fJKQU0FwBPfyVhB67pN9Q/oYsHAK8NuXBxHQUjUoKoEaFlBvYJP84qMdEFnfA7nHqZlQT569lD5Y0xBtC/zAxrLWkG8YRHMu2gkQVyQ1/lkjmDBRD+VqwTdZ0F5c50UfZqHQZvu+BcVbHFB9Otsa7W6YEEntFfcn3czQYFmY3rOd01BfPLSdc3iQkGgnxxG/i1aQat4BmUI43PBVa04uqVETkGyZHnCYCdJQZIuQUgiTX1BWgceiVi5bcGyM/C65aJ+QRaWp6N9GEdBu24eXtjwYkE7QWQudcheQT/YfdhyOYBB0WNgACiCX0EI42gXj/hkQYdPhxyRBURBLtEwo65/pkE4L5pGRqycwWMeoz8y4hrB5uaokXDpO8H6HpOG1nxIQXYxXPa6nWJB/NqYDeVgYkFtrN5dXy9YQW6il8maQGVBIl8coxFvY0GQyIFMofdpQVXWQE5tAGVBfrAzF0DuWcHbBCBUpEpLwUYhxaEHcWJB1mJUAsFX7UFT4KUFoOotQe6f9IbqNWrBJwKQ3rpjhkG9MbbBrKgvQeyL/Z5PWiRBe6t6B9wURUEUcI2nq3KSweoTHxUCdyJB13P/eKqsk0E9+gmLYN1hQZunxRiUslFBmW1Fll3hRcG2RWyOo792QYyMcLqWCXhBnsydKKzPQkGMg1hwgl0wwfowQV/xTHfBXWo/x3bZYsFMOti5LsVhwbn9QuDTiGLBJgKWmSk+M0H0uTu3WnZYQQGQv4nGHkZB0pgz68shUsFpT7JXNVKLwUXF3i1np2jBxDdKOoe/SEEU56dJLMCmwST3/C0631LBFbSRnLWAOEGUNNKDj7FMQeimL7i+/lRBZmN1W39COUFWJ6aSKLY9QVEcrOpsMFvBkpD0u6svYkFAOvGFJY9mQTTVsTgsOUVB/5CyH55QqEHmJpA04xxkQdDLtnV0vEbBaYCRqgbYWkFIQDeuaxtUQbaytxjjRjpBDSw3kpEUYsFI9VYxIGuBwTwWWTDNvHTBdFwTCCNHqMEOO0zo+tNxwXjjBsnQuEZBvLqMeuGmIMEO/3N/Q5whwV303MWyNThB2H1xcbAwbsHGZSXL7hgsQfB7fV51861BhfBG5o7aKcFD8KpoQcF3wbbIMpkyElFB0lLIvg5dkcEgZQ2RRxRgQZCSh543OpfB+D82kkswZEEcZRy3I5KJweRqxXtgMo9BjAu9N/q2qkHmjWASjqxlQdPMP/yLQIJB+ZrGVP1LQ8HOjFIcPDDBQfBHeDk7W2nBBL1pAMTog0H+28A784yDQSTDmtcxyV1BwySzvpide0HMnwNmcpR0QUAUW+9yy21BwglprMnQkEEMp4wNpvKAwVBYD+DFxm1B4s2qgL8SREFAhlr2HChZwX8RdKEy7oLBpil2MTPDfUGz3Hm8hblrQcjXbA0UoVVBo1NMaLL1usEaV7rGkTh3QTGqDw3jEWRBCs+JG903TUFoamMi37xnwax7HBLjwzBBYlUJoHt1YEGgVVRLZzNRwZJpSLjHKrVB9iOyDFZ0hUHSz1aqTtx1QRJ+bCshbXFBYwufy+OUYEHAYS3CwG9jQfCE7uATVDxBPZwa3exLbMFW0wtUBN9ewdthebE6ZmZBPDekPlF6YEHh6Mno/o6IQTCQaDOgATBB+iGZ7Hk+kEH0VEI/9K5owe0cc3MSA5fBrPFJZyRchMHlX4WOh9FTQakHhxC0foFBd3eBW4MxbUFcVcvlQqNHQS555XqR0F1BD0q6SNSeQkFKTidYezRVwS+k3ifz70FB6PkBcllvPsH3eKZAkmpswdLSoj0/tlDBljh8JEvdXsGE4+y+PJsvQcpDj/rCpTvBBgtJ7MTtb8Fk/5OfbMJVQcJQIXXliXrBy+aZQHjmf8EGdfqwKKiGQbNrW0QWGbTBzs5TPag8REHUFyel2P5pQR7mqFySR1jBripFNyHQXMEmMwTebj5FwalZNlsEZmFBD9kkdRO/iEFHToYwMERXQVKtRG5R+WxB96Xew1xkbUEQ5Jj7GGCzQR8RIb3p7IBBSj+rYH5MUkGuhN6WUVJCQRprM/NGZ4NBasDmjDYgfsEpB6xbaFpqQbqV4V8AmElBanubbxg5PMHOwhLQPq+CQYk3zfZddIfBal6ZJG5hqkG6KLtmPupaQbAEf7wOzVpBemu2hGoSZ0E66DDPmRdCwWq8ugYkBl1BIcj06SL7Y0GBka5jIflLwVxczsltH0vB0BbA8dZaZkGoqc4Lwi1NwX5LGEK8FZFBJBK+/9fRP0HuOs/kOVI+QaejvJ2RhHBB9nh0z/07FUGyEKZEwGJ0QVceuCUKRU1B2D6HTUlgZsHeF9i8ALTywMxLeZdZiTnBCbCjgcWFb8HYF8Jlxq88QWMXA7DFA2ZBnmj4/kBVTUFwu5yq7dINQRqfbmFFpCtBJxN4XBYEfEH7WggR5Hd1wZ8oc8tZGlHBUugKSCAvVcF1grX36+gvQV+R+3e/T1/BaH2RL0k9aUG+zakzlDpqwbB+9YNhnkbBx2+Za59uaMGQj1YhofhCQapdFu7fJjlBbZtwSjs0IUH6fBRpkqF5QTQI4YizrIlBnKBtEFejJcEC2q7BaAtXQYDGZn2+oE9BuqhhHoBuX0F78KeB2bZjQXKgGUWg1FbBH/wKZQAFTUHUudggO4WWQfLCjp8MxWhBBp7OPVKMukE6rp53qZdYQRz3rCiNU0xBPbaOoXKQa0FO4cLXQ0xBQSG8bc853KhBZGPf+5nfUEErMp1r0c9BwcllMMU604bBCr0+xOa0GkHgjWmOmBdAQetEW9l4SFxBVCAAITOkSEGeoNND1aJ9wVR47DGdHHHBSk0VmB6cdkEg6fl31cZdQRqCxpAYD0dBEFjMXR9ra0FwFJ06Mmcxwdszl6SRrZ9BpK175FqWUkEQSZ7Of/lyQYavVx2g2kpBsn6MdG4hF0Hp3etyS4VAQcRTcrz4ppHBRN7iswHIlUFiNrrImn8RQeCDKIoSe57BtqNM9h+PREEAPb26qjNCQZV4Owxk0jXBcCTEsOLjNkGXcGysScx5wcJfTO/HKjtBar5dYvBOSUGZ8JPQNWKNQQLEYiBpemJBoOt4VN0JjsHn1hxSOXJ6Qa/lPM+tJGFBYaJwwsvZTEHDTZIhrFo2wU3CkFtS6F1BCULNEDDleEHifI9WrSVJwfxPDS9nhotBxruHo/BkhcEWQ7PcRlBzQQyJmrULflvBAEjD7+kIUkE4OKt01peKQWu4yYGGB2FB4lav04QAo0G6Y41M3j+CwaxnSCGpSlRBucjlykdNWcGQqzcDpYmMwcBR4DoCJKpBxL3v5DDJV0GIXNZg4uuCwT7hqliZWkZBiBAd1EeRUsFNgCrbHE71wY4dPUp4aGhBxw5sTZ14ZUEoNlrs27FdQUkwERdOf6zBa06HyqGbVcF3DAi41thUwcFuPKLG7mdB+IZT6u3xQEFDlGWNqu5QQd6LjbHBSJTB7CDsb88wnsHEs0VFIERjQdWg6TuHIAZBqBodOoLOoEFAqidfp4yLwb6kJYv8+i5BNWLlfn9kZsEIsLmIE1dhQUTbKHAkaZfBUwe+AiEdEEGQw9nYCLiAQR1TXXXaWWFBouWFZa1JYMGKS3CqKjJtQQ+cJMlwHqJBAA5QQgnbJkGRg+J2xZRzQYiUxlxM43BBjEm2Z7IyeUEjFTdHOaRQQR4hZuPl+G5B1qg44trVT8G9bECKq8ZhQSwvO0xi4FJBAem+untQVEEqP5kHNb5iwTQDwQxAOTlBe06DPGewrsE8dpV1pjiFQYjnXaedEqjBjubRvRNJIUH+5fV9Kg9UQZ7t4tSFp0vBQdJWVF5+S0FEz545vWpVQSMIBhPSvmBB70LCfdZ1ZEGd0KvlBgYowYL8j4IaN0LBIURNrJ+eUUEtYe9NN8p1QVdKOtcC+kdBEHrkREHxJ0G4ZCcacBN4wfDjMIVFhWVBaEoMtR8IY0HQlq6YgsRiwUlE6MmbjWNB5wpkKUgvW0HELvsKraknQRYtyJumXr5BmpHhCecHYEHIcYZwO79AQdL/+Ekn8FlB5AQVB1UVTsHwKIe37zdZQUIeJdcePkZBm680yz24a0GboJpuxhJdQQA+QNdVYZrA7hyrGDwwHMFvY4JlUtBOQZZ9eAy5yV9BxRmgRJjwVEHE6FUF7L2MQTgI3BT3nTdB6tgd7GthgkHCBgAjurU2QVNX5mIpAFZBj4yD+kc5Z0GK+IyuxYKfwe9anfdAUXrBtoXdRrYrZUGZWqGnDMJaQRZP21LX1mhBSyDIIKWxRUFfccQk5oZkQXNkjLLP91fBl+/bbAUD4sGn8pKeSrBUQQpfu7G142dBC/p3mZcaYcGgdHtcTNNXQXgb5WaU1VJBv8te7+NyUUF4FytQ0VGUwSBf/S+04YhB1ifLOi3yEsHPGbaLUK20wbgk9t1JuVRBfuAX7hFYVUGcjXGOGfiiwZy4jaZ2TrRBBmFo1aoqZEFyHQd9RNZvwYRDG5SAnwFByJQ/YmGBxkEmj8HDs8BkQVKf7DvZ21ZBftrvghFNQcHI6mFdSuFbQfGkk10ga2FB8rTA3/Vvh8FmtuJE8d1qQbNDk236eUBBCYLltH3jQkEwew/KlXufwXpax6XxB3dBkMAKNdvOZUGgZVSnrjZSQTnZTm8iCKBB7udDRYUVYEEg3i8xLrFPwZB2obRTO2jBqF0qJkawGkG+uO3VPGckQdm+qlWJKZlBaGHO357rSEH7BOjzOmhuwe65DQXWLd7BxL+bu3WneEH+yAVbddFLQRNz8P7lTkxBiEUoTk06REGw0X3U1vamwUHmQ5ljUSnBeWIJfm0hZkGpixV2rbxoQURrlu+9m1RBwKfF6fWkO0Fog0HVPGJwQcpcSR9/QEJBnnNQ+o7Y/0DoTLzsnJFFQQDQ+MPiVqDBZ1BotpyJUkFnYWr8+dQ6wQZPYsAemFFB8uc2loyLVEE46d+SdJlkQQqBg6w5FYPBTHZmUtSvoEGqx1qvOxGiQXjUKalXrmZBrsx3sRXjT0FUCnYmCWc7QVIVOTxlCXFBgaT0bYKSJkGbwMMHNGxBQcwtYFy2tltBAEmoyWHqW8EWsUo5t12VwaqB1y26XXTBHOMHcjWqPEHQ3s4iVq46Qd99+pAsW1pB7FbkOUnqZUHXw9VRAM+pwTLm+v3srjJBdE4PUXk5NUE6/ap2ieR+wXijwSAZ3r/BW3KWQYkASEEANZL9G1tbQUEzVi8G/khBcGoH/GU/UUHy0golLFRdQWoLKsqt0LnBSmEbwMDLckGObVf+IoRYQRqc79N4XEdBQPyFtgR3jsEngOZ7uB5MQT3Mco1fNmJB1VJ9yBbON0EmdaKoDg9UwYs8Avua55nBSqmsW6lxTkFDEah7guVnQe4rqT65KoxBVgbJdP7b98DGDJpVXk6AQeeFTfyiZnZBstv1+U1qR0GBC4dT7sgpQYCR0LNMVFNBKtnY/W18N8Eoozbyow9WQVXpsdm8U03BQyzh7OaIkMEpdeH4KUx2QUr1fqy9sYpBQ08WGF1KVUEyWm+R4NeHwRrLw0OhfGNB1HAqAqRHvcG4T3gPm0VOQcJQXd2EslJBRtirMzrPPkEwvR++aFJUQQZpjqV+OYrBckPbKAk5icEa/ctaWgeYQTigUQ+uxW9BNBIiOVgYYEEuA6ePsHhRQXM11XI63UpB5HquDas9BMIgpQ4ENJ9RQXjoAL3I9VJBEZgqM7bpc8GjueaaW2lQwexjRXlgvU3BBp6rAeKPV0G6xkwMbtdbQQjQln/W9FdBR8LhUCrmYsHBcVyFt7+UwY7H97S5wD5BtI/6Y/HiZUFuLOiDTp9mwdYEE0HI7WlBP8sF1pJJDkE28cuIzwdwQQmfX3shihBBuI4p5raMWEGTgbnQg2i6wSKihDD9lFJBcewJ8pFoMkG6OXfprLt0Qb5ZT03LPjJB+yrghuqtakHLp8dH30mBwbHhEFim+VJBXRmjDDTokcHCcEUSFHNRwYv3KQ6oN1NBLsD5Ae3fUEEarqeCOsenwcSbLiKHLVRBRelMq5FbZEFQwvO/F3dIQV/K5wvQUDVB+NkXKvsrJkGEIN6iTRBTQeboJMlXM1RB4LqTg6wjd8Er5ZQndy9NQQqb8DZ6071BzgFNERqCUUFbDKyIjHxSQW5Xykna/ilBkFkeQZARskFa1Nz8JUBKwWAVL3/0pVVBPfLIKsZMd8FsQGO29xVUQc+BDgkwO8NBGj6ECpGKbEGwfGa5ipFqwZgzS0lJM1BBQ/Kg1eOLVsF6+isY6lIzwe/coVxUkJFBtYX/SAIxVUFYbrrEtOYuQXXnYr3efzdBH6+OVtyQgUHfTp099QZDQfY9btVJ8mVB7f4ZEHPslMEAfCzT1wp4wTm46D9bvYlBBDScZth7RsEIdZbTTiZTwWDc3UkOrWBBM3ymG+kRcUHmjp7yWjdzQYSENop2FmdBQrol/9z3WUErWPu5L/BhwWc4jbNQIobBQF3utbwiiUGT2fSxQHk/wW/1np7gQEPBh58FqT3A30GAGArZjEpLQQbBP7JICplBR2nAyPpXccFWFjIKU8mUQdwn/PLUo1rBWFHp+48HX0HG6NbVVhZKwcLmGABxv5hBRWgX/ZSUP8FKs957Y3+AwUWgSQafRFhBCKcPY1jAdUEsP+7K+EeXQdhdDUz7rmJBxl7ZwANeY8EGzSFx3/NhQaiMMK8cRmBBU2Gl+0/ocEGk9XPiXtRVQcxV3zPcLGJB+x6rKk4sI0GTtOCbSdVWQfRseeTKFjpBPLsmHH3TLUH6crUrWmZKQUUP8hJq6KJBPD+zpbyLWEFO5dLUh2WEwcxFZJUdZn5B25SHXtAGocHcdGntE4JIQXCV2gVdVWZBrmgcxWvGXEHEaAHZd/5vQXBFbzY7onNBQ4QsmYoTS0FpnA5Wkf3mwQ/ROqO0l5TBQFUpB5rUTUE6IPA6QZpwwWprQbL4NmJBHBTnmSKZY8HgAQGqkPRwQYbX2WGvfWNBl71C5fCsYUH8E6tTpgpkQTQ66cGYjVdBrDtyul+UAkEtTfGP6ow/wZ69zGeU3m1ByADbU7KykEERrW8yQYVmQXjZgbCIzWBBSrBXr0EXIsF2WqiZ5i89QUwcnMX4aELBHK/cRakUZsHrHglr8G8jwQNjjMriy0pBs0ZuRan8V0G4I8f0iW5GQWiZhDz83mZBH0GenkkLTUFMLy/TcqOlwbQoXDJJrlxBXsxfMqIxb8HQRR5sK2FywX1E5z7wG1hBWCdg8jPTf8HlUu4CghxQweS01uWF2fpAFtECLSbsdsHcQGnGYR04QYj+JZ6FPXNBmmGcUFm5fMEE+lJ6Ink+QbCiAbel6FZB12cfqWx8WsE/U8d6tzpkQe43Ji2npHpBMiQgX5Cbd0Eu/a4PoHjBwQrN3iC7lmtBIFy1ROEnVsEIzi4Hc6PoQKpxOVpQ1GJBYtlYyc5+UMFTzuYxsFtiwdfFAFGLm3BBntl7D79yW0FR/1nzFQ5EQR4aBw9rLUlB+OYiX0eIQEGkIhalwYB0waaBMUlzG4PBAFMNlagia8E6SmTL816FwQrSdYeV2jzBgCb6m3kl5EGsd2XPT41mwbvaxYMxQSnBtMbaDnQjSkGcQvlgHyFCQaXwyGoEkodBVicEx7d4UsHIXhcsNvDJQVCT4T0h11hBjHdMWfH4A0HcgGr31LeUQQz23Cn+iR/B6l5KuxgraMErgBQLNd+FQXGSVK26w0dBFsuLUop/cMF+D/BvvmFGQbLDA94Ea3FBs4VFnfLWmUGUjRfIY7VdQc46K7cjATNBT84kce4bYEH2tyFndUJxwfQMhY2BnDJB42KCAoFfZ8HmCr77/xNpQTm3H9xnBVtBBSd6FaYzgEEaKGcEXG9wQTqV2VMr3qTBNBDww2bthcGpaGPXB+BUQQxFCdIxjURBKcLtcyrzMkF4HN7SZipcQcGVsxbf8ilBZsoPXUhGOEEW6Tx0lEdzwbX163eZ2H1B3PNZ4wVphsGUmUdQzBdLwSk8IDYnaozBbR/6H2mnSkE9kVgJHVZkQfiEN6YEJ15Byo3Gxeq4VkGC9wWLGNFGQZC4ONARNnRBdGl0bVZpcEGTBYjHGmBSQa/w5TOy3mNBSuhaEg5jU0FPGqvugM9FQfDTUnE1o7vBLdPE+P1lYEEY8+TG4U9nQei2n0okGrrBjgeextczK0FonQ9kW2pGQeCn0qnc9sTA5Nrs+7/Rd8H+sYfK7Kl2QYf70GgYd2BB1hKxdn7XPEGWlQB6p61dwRq1Rd07MHlBHdDRhR/wbUEPfj3ZvUNLQQ7/BI1To57BJZQj18D9XUHFHn5hAEkfwTCTy21zTIJBBloKKbCHdEFu06tsfzKiQbC79molQFlB8X2/F3IpU0EdeVuHK5A6QRYISReOY1RBgjdCtoCFa0HAchavWHVHQaucdXsqwYhBZW/pajOLV0GFVE6TWzV7wfwKErlfhhlBaaqawKP1j0GV4YFDCwFDQY3lsw7MLzpBMqNJ59ACM0FWh4O6K0cywQkQutpOn1xBvrH7bQ+jWkGPQJfnCp9JwZfHc9xZE1/BdvcADzoalkHBXzmZ6rdRQUD+4EkA/lBBjCQ+eSjKAUFBeMgNA2lNQdZ++8cq87lBuo0Xm0mIaUG20SVpnRRUQYdIKvI3+GtBdpEeg5y2M0HoqalueZ9RQark98HrqlrBbD8TSuiVc0Gs3w7FbUNjQWMra2RKn01BG16RGC61r0Fr9bwy93iNwZhl668BhTvBFt8N01VlhsHlcmYNqtuNQTamVF4Q/EZBgMcqBi+5VMHeJAx9AP9tQWxJWnnsypNBFqbwrcfBQMEF5U1kagRlwTCVMMjtibbBmJ+TeaPGRMGZs9ng/jaQQXAuHHLWAlFBrbNroaV3XsGg7GYPSJQhQcYkJtV8ZlzBVINxw3YRXMHL/UOweY1cQRZ3Y4Dh3GFB7UtuKecekEG9Ah4jKKxvQUoGl0OG+lJBEq4NK2pZhUHP+iBDNUt+wbLkmirm2mZBoSLxfJNEN0GuW0xERqFWwVclbFPU9iVB6nAsMTOcWEFplAgFmri4wSwd4HaDTzpBFGzE8HVUUcEtJBGQ21V1Qa513TRAxFRBIrX0P+8dZUEeOBChOAqTQbwjsU8eyIBBTurlvGH0a0HW1hik3dIrwd4QnZJJwHVB+ubrxoAEN8EsblS0igmTwdDrkTERV11BvtksrrSu7MCtSgA1pG9KQZD9MQyKbHpBH3ABDhsGWUFQIlBb64dGQaxjjsygZl1B2mbEgtreLsHeC7fqdHZawQc3l490a0vBrJaYT+zFUUF2tWCuaoNwQbF8GwROlGFBAd+wp8utUkH6q9YqBBJpQT8xlMsROFfBkn06fMT3ZEEGSUhv2rBhQfa1pqhiHlxB5vilWALJZEGS7VCUq2xxQaJ44DJsAUlBvGZ7jGrZSkGF/1g5905WwUAVdA12rD1BfaQyATcucEGcW6nuun9QQYSRvaq7fzVBBghX562ETUFe2d8nkZwrQfZZ3bW2yUZB6N97FmM+TUEBlFlrV0pCQcsoLbvYxjFBIBHYHMlZqMFkcZ4TMJMsweyALl0TOYNBnREMQ6VIbUGToyb4i9pyQQEeBgdyA1VBznSN63TrYMEQiAhUhr9rQU/F19yvD1ZBnBYK83wwbUFodWr3E6tMwQtSuyADJFlBXhYt4QTwccHUfy19cytwQdaGHEr5Gl5BaJFB5OZHpUGKqWzSneJWQR5dx+dNEmtBJr8eB4CdHMGO8AYOd35hQeqjO6xkKSxBoS8hTIUuW8Ffel+5N3pZQRIdkT9BLmzBQtuBk0W4esFc5z49uyZgQZ6ukCBb4GVB5e0gHyj6aEGsKpn8OWE9QTmU28pFm1RBLu7q0xMCc0Hxny64U9ZQQV5TqFsl72RBNiky/dJGpUHqDqB7ew2GwQMmtHwPdGNBfoF//akJU0Hvlqt4HMVewW7AnW2bA7DBwVKOZljAYUEXIKxXEkVYQSAfZQs7nFpBWrZPm0SVSEHXQ5iCv2l4QUBfV+0SXdLAn4wlzt/bSkEr6w71CvZTQfnrqD2nejfBg62g1RBycMHgJfcE5xuAQaSr+XsnEQbB/DJ1DenHdUHarSLQJkeLQaoIjai5apLBzH40as1+U0H40JnhBvifQZTLwKNaO2NBXOQnc+J/RcFO0N41NJx2wSLB0UMacERBXKvH03YPTUGyb94v5KlXwUzmmLfKbDVBeuTdecLUo0GchyX4/bLJQbhFICszuT5BPHjTwYtQhsHymR4i3C9gQdBU4oFtXWlB8OTePAsgRMGl0sJxgY9RQQrNJgKE4F5BQLCV9kyGWUFMPQN98KJjwXEpggmzkEZBcJrqMluEY0Gueg9iYM1hQbQEEpjbVj9BtB7xSJh6NUFIYxO9b3laQdLjeuHe0FtBA1WWwxmmR8Gm/G3/JWBIQaxCC4QO+DlBMGOxxgbU50E+u003Jb+LwfwplQPpSXXBobkJ/50ub0Gg0Hu/+IhiQSoPcvzoU3NBk6XZ3/CWbcHi6VOklC1KQcyAgyoweiPBl8jYMRhiQkE0isJKzI4DQScESNKPHarBFrH3ufLRXUHKgH7BfvFAwQT626P0kwbBfB8btHcIs8Fkuin9GkpNwfnyrK+KCR7Br79szFLglUEu2aei9HpiQXzt7nLuX2FBfrfreNElm0Enbm3OdfOBQc3p9ybyEn3B0jXtcxbgekFPJlF7NC1hQdAKFCzK2FVBsByS7vDkMsFm2kNlo1EzQU+HHuwpsbZBPb94adIBpkE6/kzNvWA4wQTysNc5fk1BYIF5CQUJREFAFwCXBmkIwcJBkOe5nGRBfkuSlYrud8Gw91gVzOMNQcbSkGwOSGxBAin/1SvlcUGwUy0kfApCQYzCNUAAW1ZBtOdQKLN5R0Een7eM3+lhQcSv2NEGA5ZBLj5UsAPZSUFvgxsAx3B/wbzqZftHoWRB4e/OhqbqSkFI/stD43w4wQbwlnEE2oHBdfuPA/LPUUEqJ9tTt0NjQQp3xpl5fzFBAUyZUn1KiUHVbbYEok9VQY4b2HPhIHLB2m+LPQazfkG2i9tT+IBjwSr+MtmkCVFBhVrkB0mGRUH7V00EiyuTQei7dCQLlktBAzP1vCJGWsEXtNf8l7JIQSmmRw1dN5PBXtPCg3ktb0HKTf175UpDQQiHmi+CgEpB4veF/KbELkEngYO+bBKDQQaDncpdZj1BCQaAd3pacMFm+xssqJVvQZb3zWUDM19BvQHNZ374akGa9Ds4ykE1QRPD/gPbvFlBasOclludl0Ep9BH2oWJUQdQlBuiLM23B24K/YAVpbEEHSmsNGUqNweQ4U/OUQF9BKLick15NWMFUv5A073z4QP4yUnn8PHNBDjzHguEAgcHmVdhIBj8NwRfaPgkI72FBhEJJY4EddMG/mdtN6miyQYKaQDqUzTxBR4NOvY4NbUEgjvl9VNCrwUj/GowDQ2FBDi/pkDo4NEE+7DR4BMRWQbBAgBGhWerA/ldt+OYXWEEKmLe/YDR8wXRnAyYFhGbB2KgeeS5eRUFflVjuNEJswTSiRI7j/WpBj0fUYpzgVEECsbO9869mQRpLz+MvE3FBvnr1+pS5I0Gc+2zAGNVgQY5OUzx73mJBHZLaPLWUnsGVhKA4CKqEQaMJvlaVyyFBEPPhOyxkQEEgjL9fWrRUQQKy18jCFntBlovM8xuSYUF2nMLENk4+QWT/VniAmFnBHdSxdcbEd8GWOmHvlAE2QeFCYSuxFnfBcif/lJWLnkEzIdG2g8h9QUaA980nGYDBpETKLsb9a0FYidW0vsdUQUG55G7k+3fBUmzdlIWZbkHQ444bFgxgQTLvYMZWnXnBYooLFDrDMUHuRXVdzlxRQYwv4rbEaHlByq/UwSgwd8GTrXUdpCBWwRf/zjZCqzBBGUtcW413YkFaVacgbvRgQWZgaxM0pUlBM+cMYFq30UHy6rinhlZVQWjHgcxwzQ9B9N4Q3jiMRUEyofxonyFOwQN3BlGWq0PBLlvx35fGl0E6S++JlxlcQaZBYc1OCGZBlZuDf7ZXoMHXC/wQ8v7MwfRtPX7t81RBHF2+5mSbY8GaRR/AfyOJwew8dYd9EhlB0vIRZ4L0MEGbMBz4aAeIwRiSgA9AxFNBWJnzDWjSnkGSRs03JuUQwaXAYf4PBoDB9spo5pvmlMFc9kv8Q4NfQRxeeEIMpF1BJp50lNflT0FsJh9qApppQSy/VWFLLXdBzD1Ns02ZI0FKf45ANf9wQQry80bXgWDB5F3leV9YP0Fpobm28xBAQeagQT3Jv2LBPqabRoDASkEdaDmPmHFNwUahfeZiR3jBRtaDADofNsH4e/W1LaZeQWCjp33yFkPBzCsEpqOdXkEQrOm90A5VwUz4t6m1CR/Bi8jjURvkwEE4FvulTbcWQSyDV4Jg8FJBTricj/g8DUGGnYHHsd1QQTOOrXTvAUDBDxuEn3QlUEE/l8mMOeNsQZgdykm4z2FBfZ9xnyESQ0Ho5bwuvg16QTJ/cdl1motBA5EE7xW/YUGHfbD9myZHQaiMVc8BmkdBXL35cw2aRkGZCKIZfS9SQU3Vk960BWBBMpFCU0rgVEFkLyW9MbpWQYTdHJjdzCpBUYu78NSbS0GXcTJMhw5XQVTv7XjCL8lBfhkYw4rbN0F3t8V3K20VQWiElI0HclJBkgoJR7sBO0Ew4SPrkwFQQQp9XoL/u1NBcLhm46qfYEGG6e6nxxVjQaiA/qmsc09BUqM2lt3qXEECAC1bUf5UQTQpivJVlkrBNvCwvpMkY8GKqwF3IaNPQeK++w2/+oZBdMJUtHGLYMEjbOk8Ek1aQdlyZsEzv1ZBwtZZnhF6kkEoXSoNA5ZcQSdKZYWW8kBBW2GZjEOztkFWwTDWqJD8QNIXpfynXGTBbskED9UtLkFq1xIDePo1wRCVFAwEDjzBLFi+g2e8NUHw2P6gr/sUQWpxvo2euWjBG7S/FpfXckFfk8bEChxYQbKnrEtEH5LBG1p//5eWgEFnBR5061Vfwdgy8gMO13NBGCWhNbKWxUGK4fEBlUsowQ0hWcITkVFBZi3o7uaeWkFpTlEeVrhSQXlGNtnjdWDBzWdTfQUJYUGu1RAxsJldQekYnyifv0hBdjSuVKIxf8FmJDDu1oRUwUybraWCHn/Bv3bL947Xa8F4N9d3D0EwwXTKZDX4z/7ASRXmN1tUQ0HyseOZzRY8QeJAFIX3E1tBFJ5jI5TVYkEaMOS07HGdQRfYXvvSSlxBGXIU+QtZRUHotMsUTwr0QMng6wq/SkZBSoObluYJP8H3T4qZYulawVYlHYKGd0ZBClLISHF0V8FWGoqcegJcweLwFB/JXFPBFEmBh378O0FmGE8LXIRbQTgQPoFRcGpBx6oGfFsJdEFoY8cKTyFhQTDzLg7O7WlBH5GIC/2zOcHWqBlrrAdaQTDA8e9/S27Bjm5rR7gxWcGyOP12lIlPQZi5mSA2SPbAXhmPwUlqi0EIstRjAT42QTktE50lQb/BjvLeXeUUb0HoWkb1s1RYQXJOtYtfvWBBrGGfCVaxX0Er0E+yj79UQfoaqDoVxIdB1iP0yq3JTUH0BJs/GwsWQcC7E5ZZ6GnBFix8eEUtNkHIipBbm212QaYmJ/M8S0NBQpX5LkgbGUHD3JhnQfd9Qb6nVAzl325B1yoTaNy0QkFa25QdZpdrQWCXTV5Z9W5BkGSQDHw/UEFfpqc91iRbwZ6qJkh/aWVBXDNjy01KbEFj9geGVWpTwVlAfisaV1FB9+eRt9xBZUEqQfPfuem1wVva2dmbVVRBeQ8JqynVq8FpSLHSzc1RQQQ31bumbpTBWb05p2jYLEHGd3mSHCtQQVZyk0mwa1dBWgHPLGHnV8Fc+YAyrCtowfTXyxcaxnlBR/iCN3l4MUHbneP9WlhowbIozAf8fWFBJbbd54CZf0GExOvhzyNnwWFNFp1mlEZB+5riE645akFXZNgHKjlgQcc8fX9sLUHB6AeHm3UHs8FEVYZNcFdZwSJZzwsAGGHBYHzxuL1OR0F7TNkP6wwtwVHP2zA1IVhBKR6BDzVbOcEvdxhIJMZiQQbhUXRcGmJBCTG+GezJVUFhgEmQwrPIQWpD/x91/5XBvP/4X+I3dkFE6cfrUqR6QWF4BDP7vmLBcihNQmVHTEHUrQTXi8FqQfcvbT0oQ2ZBHnb1LosqRkGReF3rLmtBwQzaYa3ikUJB/UXgy9UjyUEcooUbpDRYwc7Jooyp7ZBBFp4FV4hOS0GAvkjcsadpQTiPCwrS2XfBs9DBH/MlScH/4CWKVEZIQZiClqos5sHBUhEfklY7a0Hz+pkh+og7QcI7fvuESivB+JrY7ul9QUFQoxa3r4hsQbQH/0nwJ4FB3GX7h1Emt8HpdLdtpHVtwYt306U87lLBsHlwO11ug8HGfwo672Q0QW2qAou1gIFBVboVb2koaUFl+cU2110jQRmiCzCZy2JB8yo4u3cEVkHUOTnWMxdCQU7Z03nskUDBlnlOVcakWsFK6LjvH9pDQc71GdRE0ljBBzBMmZZFl8FcY17izHQ8QXx+J2gI7ItBlOjRJk4Hc0GB5T1cD69BQasMt7V3AjnB3gLMPAglYkHf11oMwbsjQZIU9RJkqKzBV3nZOo+CY0HvqlSBPOpNQScLWhVHlpJBPOgThvV1QkH688Y8GVVnwR478W0tukdBAIOw94cnsMGMKIyXjc8zwa4CRQpNH5tBRQirHJx/kMG61ab+rbRxQeYmHGI4moRBpauWSupRWkE4afMH3MRoQbbU4LPwcqhBMfTfdiPUQEHIeBIvEe5XQVhjtzg5xGJBokC5QBGl4UCqjuRHpklhQfdGBCn9szxBNIi5YdtGXkGKw/V0DHUyQQ8WF92m61nBtunKRfoWZ8HwIubtnBJ1Qd1iCT8RjnRB5EVFBNkigkHIUqLb+XBAQUi3QDA4+FtBjQSdCdEgO0GE1BdtRI0jQf+PhkUhiFVB12eE5gxhUEG8h6kxQzDGwYtyhMF7JHFBb2SJsqkkF8G+REf/IqgmQdNAvCFf6QBBjQZQ5ZJVYUHgzoLuXKx4weN91+DiYDpBBl0XmfMAzsEp0Qgr8G56QcghFqjQxIdB1r7NOd5HakG9Cv1H+Dt0QXCOIwBk35FBZN0fDKa3OUH6OhfXcKI7wZAqRwp/wTtBohsV9KugT0HAa47kvqo/QZDvNnGa2kJBRusCyLniYsESEGUhbGh9QbRFCWadcOvACjo7qAW7IkHOyysnjMmhQflqIaWycWRB+ylNYH79IcHG+6vhg5Iwwa47CkP6oW5B9N3/QRYKUEFJrFV9Zz1DQVNPbWobqJTBTOQ152W+sEEoGfdi+qqbQcvFYLnqkjpBxiBRSEFzasHMbMQnUYhvwfGoM1CdwFdBlJbtPnrjTkFeWWPS82VeQUS2sUUwfkfBBVW53C8CQkGREZ0YvHx5wS7Y39q472pBiMZwswbvWUG/PPdlSrOiQfMbcCs3P4FBm19JikeqbkH4ntapbmwmQZc689JhChxBiZ8QVCPplEFNsgMm172GQY3CtJC04FNB1hHBK3H8X0EWBBGUPX5NQRo3FKqwFT9BIHpxSEWjXUGBPG+ZhptmQVxJC1kZ9W/BzLXJtHvkPUF2Ci4mwNdgwYQ2k6Qs9XBBuZC2YKgfWkH6RUahA69iQVnNNwMmCWxBjl7RICKyhMG74eWtxvsuQUE47/gmSW1BVDLI5bDLW0GCGkN7DwVcQYU9zTcYmWNBKJ7Pq0+MNUF4wFFVdFhFQevM0k68HgPBfhDeLI5XUcGGySgbFF9cQQKk5OYluENBdXT0AZEmVcEFuyCeLhCKwWD5uxX3E4BBFgt1C9KvPkHYF3ooTp86QRzY4C4pEkxB2GvOSD/YoUGPTg8A/PczwdMntlxEt4tBP7gXnzy2NUHBs4/LG41UQcsc3xVqyJFBvrs4QntRLkFQIpRAhqlsQVykNGcu8VVBUJH9hIHHpUE4r9LmfImBQdLdTgH0pofBd2xiW4ouZcFaoQOk9hdnQcTIl0dzJ5rB4PXePyHMOUFi3tU4SnFGQYRnHohckJRByTi2gmH6JEESKWXahOVQQQCdRD3hGxfBLSh+rb9YQUFmiLvYEbRAQeW3Q6N4ukFBUlitpPZkVUHgf4uUZ4NMwQGZuhMJJClBYtR6t9KJa0Em+EjrOuV7wdoe4NhaDR7BGlPjJmBgcMG5Dv5c65cmwX4V65ntqVnB1vZfCn74dUFk7447uNBhQe4gXPKbi2JB1w41uU/jR0HrfIPmd8d5wQaRQV3kbllBjl7GqUH3j8EjwRCPbiVwwcDtxo2GyFVBvOUjF+dnl8GsHAuhFmdowUSWaB2R8DxBs9YZ4wb+ncGJmmhGOykNwTExiXRq1z5BDdHM4o5UOkEsotpRWxNywc5UBAG4m0rBPgdnFn1RYMGh/dojeAlbQa23MSwvuTZBRUy8CJgegEGIjbVl6fBwQcZbkYWOXE/BmZjjcDSLcUH13Ttlti0zQUjKPVC7IFHByYTPDxh8CMGk+6J4Pm19QT5/hKONj2pBxC2uMP8jUkEvfYMQAHglQcwDeeVNeFZBH7zK+VY4wMEKVXP6/jmHQT5Bgl+9nFrBZsaQOvW/B8FD1qugQRg6QajOx0gPQVNBz86aSEnRPMF899K7tBNaQc+TYT1PgnhBMU/4yThJd0EsHvgolwBuQbvbOws7hK3BLkAk8JQfSUGEw01E07JmQXfoHIbVtGbBKvYzjpJ+YUGSV6o+ydg8QTE+IcoghV1BJoIV05ayZEH4kikKWF9OwXZF7GZMGnrBSjLhlc+Pb0GM6eHE2L6UwdxwqlZesS5BBK0Z0AimSUFVJetDuShRQSRe4z9Id0lBwLbJE8NiCEHMgtV16JpHwZtA9N3vmXRBTYrC700yZkEemcRX8lpzQZpB9ggU4MHBL3TYu8vKS0FiCSA6WOhuQZ6f9Sutdo7BcFnWmSebiUEJ9YpbwfBQwXBaiBLnuEbBUGmqLgqfjEFYyzTt/Zlnwc6gLR8UeWFBF2w53HJAOcFxNUkiQKOIQVEFkBRhET9B9DDxg21zc0FgohFVMKdWQUBCOHs78FBBcDa95JUfKsED8wBYUaGBwdGJzZlEfmVBpaAsJ76ga0EnZWYX4mpRQRicBIUAZ2RBURAP3hluREFs58qwCXhvweay4PHSTUhBzncx21F+GEGkzpzhxbeCwUh+LWFkhnHBpQ3mhaYPV0FzNiXO1hFRwRQs3DBL5GNBrG314YfCSUGhlOMlNB86QYqgZp3jfU3B5F/zjkEBQ8HxE7OlPsFMQToyW1ubxHvBpIg0dmBBcUGyFZieEAxiQeHRWzPJCR5B4Mhtp5dgPUH4FHGCeQxWQXQF/53jU4BBfEpgj728dcHr/JFaADihwUhPk86fKnNBlyqwOAvdW0FO+lIG1C1gQfld5XaUtmpBtBK4mXkDb0EQPC3fJYx+wQMNrOEClkhBlcohCXowTMFYmwi61FlIQXCNfyqnVnFBcDCK5htcSUEY3GMqLfF4QRhfPKBkvklBAZdzidAbU8Ff11vbCZJRQf5TpJeLfX7BCeaiq+YSckF82MN6haGNweZGiKq4oOzBga5RbIigUcEWboPQllpEQRTwTTygGYZB8UeRycZYN8F2YdJKm89UQYId3UjM7k5B+PhiY7+FPcGqA1aKa2KaQYwpSC8m1WRB+8Hq609Od0FRXPfjWL1vQfUMfL81oVvBYPrbk7mBM8Hol3ZAr8heQX5w9VsYDCnBeMs34+knUEFiXEDRindIQTfqfx1Q3i9BlHTzfPmzp0Gbu9Hb4xZkQWEHQg8/90xBRME7mnY7hcFPe1vVttiCQU5YJBasrxTBidQyr0B4VEENvcc25cRFQV4MQi1JoVFBunmXr+yfj8GF1cfXRfNHQZtCQ3nszRbBX+PVw0aDisFB/DD2Vth2QfnxsW6pEldBAsfVStV/n8EWKsO6eAB0Qcg2LXD8nozB5oX80e9UXUGgPV5z93V0wQx08OP05DLBBBYFTga/KkFkD69AWe9BwSD9C//mDGDBwB8b3O6vQkGXv1D3J+pnwZB1hl9wN4dBLKOok8M+UkG6Y2VZs3F7QcJiVUBYaFDBOJPk3U2NQ0GJ4c6hiq6zQYMMaMx+yHNBQ/qGaf84asHMkgKQdTxoQeBYo34Mhp/BFuygnEtMcUFnS6ud0kKRQSC9rhamh0JBRW8ZQmx2WkFWMalE2S9PQQqVQ0WlUnVBfJIigGioZsEHLCgxtyhDQS2TT/TFI0JBNDHVdue/WkHtUsqfNBZGQco9EiMeJoZBzj+uB/6TSEGET+ZrNfl7QVsY54IqmGJBpKK28J0gaMEARszn6GhLwUxBQSMFi3FB+GnEk3vndsHk5dgMATduQXCX/iH832ZBHH/zizU4ZkG8BiAY701bQQPLadBxGzlBZ8A/o/TghcFtwX/kFCk5QQSoC9FJa4BB2qBBpKvLnEE9G0lj3blewWla0p/+PGFBTpPkgpO+pcEllXLXXD5UQWi6PJJpOD9BXGCwj9iMQkGGCMffkntmQYhqmRuIF0pBGheZdanOTEEFKZR0UxmCwTynOQPWlJNBlDrowCZZSkGkiEKBsZtaQTyUc4M+51BBX+rAsB5JSUHCGQ9wIZJWQeHGgHTwIo1B8vsw8eMsZkGiegAn/EFYQZ4WpdPFmE5BqpNYlEA6gEHCcBbbxEdFQSENLcBuSlNBDbmTJ2/5g8GgEpuOcLZ4QS4zVmGqAWTBFtVpqzYtQMHziCEmmJxXQZYc/iViGFVB6zcw8Jy+G8Hc89TLe6JHQXJOY5s+91LBb/OYzKLrfEF8DBTR5aIvQUqbvrAyLkXB97HBC7c7ocFytasioINwwYKy224jwT3BUCMg0Sc4V8EsJnRYqFh0Qcn1ueiXkWNBBnM3KLhpZ8HqVpJ1HUhWQS3V72CEhV/BXvZBnxVqdEEuTuGMab9OQb6vWQfM8GNBbauxD0s0ZUHs8NZAb4NgQUVMqpX3uTBBJvGcoJYJgkGPxBpO3W5lwUCwvTq2Z0BBHh1p4qB3SsEvJJbZFqloQUHI/wLfk3tBusBTSyJWYEGMLJj1H+NwQTSDlhKGLmFBfcsr1GYwXkHOi0RfXA0sQdyyMgdX2xbBCiTuouf1UkF686byZ/iEQUBxn+foh49BXrlmIOFUR0Ex9sVKs2xAwUrRounIeVtBkm/gdvRnVEGMEEbnOotyQYxoDiHE2JfBL5kc6GWvQkEn+1BtvF1uQWw61xv50V1Brkk5X1+0LkFvAzw3xQWRwac1IYrNIBHBWgLMeLv7KMGMl30NAAEiQTk7H2ZvQl9BTEWJsG/pi8EQ2LzzicOAwezdRkKsW1LBauFEeEh4QUFiQtczQ1hwQRlAWSKQ3b3BtwT9DfvFXkFybk4zwR9YwXnlIjhy3m1BUiuQFrL6nEFqf4IozERKwYOeCmc3L2BBpoV5UgYua0HA+4zn2/JBwVqMtdlUo1NBCL17L1svVsH8aTvgF3Y6wfx8N4jl4GHBEl+LFqOvasEkZPv4AP2VwaAe9JZbJ6hBBf/trNisG8HTGQsYO8BXQYyd4YwKpWJBkXLqPBN4oUGCtmmiWWRMQaonWmu34D1BeMN7ZKExUEH3sfvj6qhjQRZb1TZWylNB2WdywBfONkGDRjWHuDhDQa4qE7MzSGZBSW1GJBi+TkFohEvlA/9ZQaIbLN1S/BFBXlGtXAMSQcGI//699280Qb6HOPQo5zXBJkGNOeGJZUEQYyDvrixxQdhCTs7Te1JBMtseV79eocH837tkZTxcQaSDkBxQVmZBxe6AtoMAdEEq4F8BnRMtQWehirVzEzlBREFA3e3vUUFFarSYRMNhQeGB9eNPF0nB66YkG+gNaMGoH5KRj1ZlQQiI70XPtk7BxF6hnXGQUkHMmjAixrE0wRXfFS4knVlBv0m0BdRYPUEUtHA7z/FnwY+wCHc5XrZB7u+8zioWVkE3yyzwpeFCQc49OzwRTGpBYtr7dSaUccFwXjU81jOqwV5z6yDy12xBkKROJ2dkKEFHp0o2OEhmQZMoIEQL0GfBNpMcSl3UOEEuTdi9jOZBQVijpWgjoW/B1HeqnrdWIsEpq7zKYtZWwdgfLoYIpHdBZaLRz1I2e0H6E0Gh57pfwRxDFlnUAWhBvHhIi35NW0ET2msGYh5hQXIIhpl7qyhBJ8AtKr3jTkGctZdZj9GWwfwLtw+yT0pBipA/ex3CWcFpStnbgsJGQbhSRKUNRoDBTJee857di0G+JFAGrOJDQTdb+xZpYKXBYuzeTdtMR0HEWNs+qmM4wRSccf+yd1JBgqyWBKilg0GROBnsIhRzQZb/8vPilzhBYKYCceygakEZmiqZB99xwaTK5DIbXzdBdBLIyQm+WEERs7JV9VphQSs0o1uNz3NBj1sAZVHWO0EMZL6+b/BTQRbDoeCohWxBuK0HYA6lQkGk2JJAoQJjwaSUXiC5HlpBNRp2EeCkTMEUj2/1Bo1wQVlAUfZEwIpBSMIlW0VnZMHFhqiAntF2waCnK4fuqaJBeGGkH3B5V0FKTXj5VwQ8QRhGCieHri1BYJwgCfzmoMGHp1B9oukfQWahBnENfzBBVhzNklMoGkEwVZzRpz0KQSD0yWlfaVxBUJiMbQjeU0HM1Q+JastrQd+7lApf/B9B9GS9KSLRbEH4e+rr/qhlwZ3MMPywb2FB3PH21IcmUkGSHilkseCEQU6Y/9/ksBxBEdAtoXzsZ0HkjQ2y3bRMwYF2yBl3J15By4t+Q6UBu8GSkUpeDUmEwZc0r8F9VlJB8NVz/gkyK0FKtIuSsiJMQYKmi4ZHZWxBgGvuLyehTMEMFIUQZmEwQTQB00+rpILBZmIDPrCY8MFwcTK1wO9wwSJSZK0/n1RBpyyrBKJcMkHSAUE1a9xewZfBPxloaodBoiySxgiEUEHJefKK2PmVwWxyOOXcLnVBsPtsisxB1cBRemSj5fs9wa7LOq6DLkBBc8NYJBAjQ0Fe0FORSb9/QYMSO6f7yZLBLv4BYpaZccHVI70jm0Z7QS6mS8s1HoBBeugKHt2VRUFTTB+miKhUQdUmE+qJ32XB5INqSz8rLkGRz4G1khUvwd46nHUIs1JBf7/KFaEdf0FelglrbEFCQVAt2uhBoIDBCxTF5EAXPUE5XJNMX+VMQS5L6gAK0SpBrE2JGjQuPUG0YlG2J5E6QcTQ8HpoSU1Bk1GULuqWukHacvwycJMlQSamgvnbm4BB43bvF5cVgUHgl+AnFeqEQbZbNxhOw1NBZX2vkCTndMGnPcaX5LJwwWlYPGxwOyLBhPL2nQMQdEGEhzVEckdzQUjYU/lCGIXBD4u//7X9SEEBukmuQF/EwSUx4IBvgDdBaW5lvPFxXEH+HLv8QL6SwYaRh1qr3HzBbJJjEpv8Z8F0m+EbcrhiQcyCiBc66VBBh6j66llSZcF0imMpyXN1QRHyOyIptYhBRnsl8bEsnkEAixuZw61EQSDDbZWyDlDBGpqHV4NWUUGqAKc8nbhlQe72V+v9SGVBsp5Fw448rUG0tD8gcZJCQbLrkhQ7flPB/cUfojHya0EIogT8avhcQRpxFqhpWJLBgFqqjbU1YkEyHDjYkgxgweZ/nvj/EqrB6fhwVYVccUFgAJvRwtNGQcCovxfUlnbBIEGhVEMWlMFohT2AlLRDQcS0Ft0MsT9BbNFFbwiTUkE8ntFGv9hXQcT1fJ4VDmRB5rIC701JTkEWHGoEpXjTwZBeaNEXwZHBcrcb9yFpg0Hir2Yk5dx5QRKr/HFzDi3BXCqqrROdXkHoZMNlaNpBQfRZ0U6i5IVB3/T40eJCQEEvhKtGhUNaQRm8DpWZY7XBDOTYNOiAaMH8gCaC39hgQcJhqYbiV27BiXMMS9IBUkHWKew1t6dFQWxeLUjSJBfBlU6VDRe3jUE20TkHgKdBQS7B59x7TZNBldBXLhH5AEHOl3JWqHkkQdSYMAIVLljBaK50nOWdtEFoGcLmm9pFQfYadbXL+0VBoPNrGb3BQsFXsoZycOdbwZwIc1u7PFlB6BPELqIoSMFsrW39ywgxQT7AsZtIyUjByoNTj2UnVkG+AdPxjcuZwX9oug5HG3XBWV1eAQSilUH+p069rQGDQYXlTJxe7U3BoJmGy1MOMkFmvvJXCTxbQR77XXw+ZGpBrtLhu9j2QkH6EmA+zhBawWy784cUID9BjmASkMGUXsFsR8lMUZNHwckp2aukYGFBvBSB6VBpcEExy1hpzzdLQcZs6CSZR2tBCpJzfOEFaUEauSEmsXhXQZcszX+8v1dBYK02ugCunEEqCn7vn1pEQUi0UE73W2NBjlp6nsGNbsFjjNCv5nkgQXa+hA2yZGRBWebCTXbFWUHPBBdVSu1kwf7qDukaBYLBBPYJ3ux3XUFmoCkO7c5iQSTXBJMkUHZBaKhOo8T1i8FWH6YdhZMrQaJNV02dmGxBsFWxoqrTc0F0ooF/lFJhQfEIAbXFp2lBtPd6s12pWkHMmNHV99RgQcv8e9AOnlBBMqJi61w7ZsEMnbTMpPV2QZI17rDuCUfBwgaYFMsXgEFsNXQly7NgQSt+PQqWAyZBgaS2pNMCdkE8Jm1OPUNaQQDUvC0wC2DBFVGtIqwUe8GLfSg7h5xhQZY1QqKUUGNBeoL+oaoqWUHc57IttX5JQRqDgY1Ey2/BIgo6EgHuPcELDxRYuyQhwQqwG3YfLZBBp/qkqa51d0EywxDMc1WBwTpL6SuCPITBStrqv3Sno8FHMJK0AedXQVzwJGZacyZB164TbVjDPkEJeIrq6OBBQU7DY2Lyh3JBV/HBTvU5TUGMLjKI/uNRQcz5jEo6snlBUFnO/56slcH1VxILUJdSwW+qe+Fr61TBLpdFlAt+SEFYcIdnPgOAQRpT9IL+xSdB13pjCiRCCUFG8MzqTVolwZ5N3TE5vGNBmOQNg6BrwsHA64gAhmxHwbjZXrYW6odBLBQnHXvehcFXsxDUFnU4QYpvMqZkupHB2/pLWgezZkENc6fqWKhSQUJsDWty6VZBfjACxsKdacHX6xCtbhBuQUTWj511R1dBjsjmb+UxXkERSxXLSXeQQQSe9ccD2mNBA2xuD1wKZkEkP7gWKO1SQUTEUyvgFoTBnyg68aycesH4UFSJy8lxQaxSZOEcw2JBygup5gtpXsHzzFAh47xGQSnn65Tx6WTBJbkMY8akfUHV0vzDTWhLQTY4dwsfODZB0gzCOttLjUFXVxoDPX9twfw2Ae2cl6NBWpdeVREzf8E1ZsgqY3B7QZvziaEyh03BKq4Z01mGNUGAHscnaVtDwfLlzut4G2dBaT91DKuqVUGwaAJgWs1HwRgapzW6NlNBWvcc9mUpcEF1oc2mhx1PQSYYp2WvbkVB6MUUYvqfa0GjGcrGKpBewXMsykBkbtBBjtqdg8CpQMGUUIwx+mFVweLHmaeBsodBC7OS3TOpYkGAzu7a42w6QdOzonGzdVRBvmlW1D5bTUFr+930CqtiQeT+UxhPJppBL93QY3ytXUEEvCNkrnRaQWc61aZ942BB5p1QOPU4U0HW0pDcFURbQXsnyrQi0E5B5IqvVfhlRkHAaLywx81ywZwDbXJ29GZBn9H1mifsgUFofETBM8eVwR4fewqo3XhB1lDjqcWPnsEvxn8FsqRCQUJT03Jn57FBwAG9OJQMhEHMttUeNutFQSKMW8ME4lpBePgabkjPnUE5Nbr4BVhDwZ0h4WWuIljBCSqg5YUnU0H+7G+qbBxTQdlR4lxyEzRBXH9KvXHD6cBP3rWKLbJXQQbWKcRdYkvB23s8o0yERcEWeJrBdINKQZ9MS5qiNTRBMYiAoZMqicE5MuqbB4tMQcgxq5iNvo5BaMa/79MmVsEYiQUJ+FUmQTAZ1asEREtBsQFGaApBQUExwd14WdABQS9SXyUwhoFBzggwD74PQkGkvufTtkk0QeA4NY7HQEXBEFvfxqKgYUEeXe/+4+xJQS7NiKwmmUtBuMUds5+nYUHbIsV58LdIQQh8mS4BFWlBGDaM6cDKpMFVBIZ5Ysg/QUOnQ7fyuGFBQRZg4mtAlsG2IkkKuIdkQUGP8/kovEVB9NA0rXWzRcF1B+9eL61xQef4dVsv3lNBO06vvh1DcUFqxOX8C950Qfb5EMGoQVZBNb+J2vc3bUFDghQ0kA6bQYqZbZAs63FBPnddDP9SX0HnTJYNUgJjQSLvR63v5IFBRetri6ddXsHq1eguaypDQVCKQFnOll9BnhLRFmo7EUEJCI9Dw55vQbsaDYIpMYBB3SlFxIsEgUGWwp0vy2EqQaH2QmmScTdBJrs8AxwYVEGo/8XN+7xpwf1A5+Y8HEJBrSvabfafWMEFSdWkNL5EwaKlJQAwZVpB5p5aPnw2YkG0Y6D6kFdDQdWzGB7sr1jBrj1fN65mR8GMTSh8ieZTQUxzZjYJ01JBHE4xnDKKTkGuBw94qNBFQZHicQWNlIXBWDcHopB9Y0FdTvocxgdZQXw+cIDopYVB9dxDZcXSmUFlSMnwa6ZqQWzfq9rsKNZBEtQqp8W3gkF/vcpvI/I3wY2r0Y7xQG9BvOVARXzgW0GhKjQicRE4QZZn2cr4qlpBNqa+hzhJdUGJK3FL5F1gwTaIWpf0KGDBHO4pZWHsVkGMy3rqvUVewQBZsMEw/tlAIAc+u1QFgsFqmFDV7JlgQdI6zYPa8ktBpJYBRIUXakE9Ogt5SSFewbczX7uee19B2dZiFBjVb0EmsyKpA8dmQZKNPSuf1YRBkgk7E0iSSkGKd1ZP4V7YwaXTRjrSFKHBVfefCf7phcEAzEDCRuJiQQR0DftqHE/B5pqxPsM4W0Ep9rl42vGSQZUkpRMVHEfB6kkL5BXiScH+XJlXn7RXQU9QnMPNQFxB+sR8LeygcUECW+GFauxzQS/aZBmFK2FBE+jCEy1bpsGS4us1L5NiQa6B1LrAJYJBDWbwMjLodEHVyXJa58eaQTQqX68YvFlBzTLXVPsEhEF4NambS41qQQWJdyH7goHBJB/Zlohia0GCNIBBLsZbQd1Sow17hH7B0fH/uWVRosFuTYi8m5FAQREfl/d5SUtBVFTaEaLwMsF0hQV5iwmjQakwoC/9STpB7Kyjf8xCkUGBTHicHvZJQRQ3w3cDe1RBlJmsKfX1SUEn/pH/mPphQRR/qY6YIDJBm/i9A4HjZMERI6qTGIZWQf+EjQ8ANkpBupx51v5PQ0EAv59pQPNCQWTzmjSQM2JBULHYy1EegEH/YmCfQw65QbD5HuBd1E9BVN1V8QvukcHoZwawWnxrwfKwLfdme1VB3WKeLuZBSkHz2gL1jf04weycthPEryPBKAGi3KZ9TUHRaPKBBit5QXoKw4gUtizBVFLdirgcPUEwgTYlHfpgQQTA/lw2kPXAQkD9uE6LZkHXNi71hx+fwXWH6sRbNE5Bhc5t4Sj7JEFDBdeYY7RXQb3aNt5h8XdBXMRnGuHMo0EIl/0+ypBsQcWlXunkvFJBdc2Mc/TrWkFQGlLabRmAQZCKCIsMe5ZB3BoJ7J3pSMGqHELt56pXwWKp4aTujqdB6LY3eQhrU8GfOSdQTy9sQXvPibmguVdBT8O+xkyDc0F6mDaXTiJdQcZ/AerojVlBLr6Kd8oDfkE2exEPY8plQXSQMydiSy1B8rD05OyCh8G+ffgzKH5WQTIzmT2cBk5BiP7+n6KqaEGIDC1+vqNSwXJaBpcc255BxYuiHiIWU0Gh6DGwaMGFQVNzttkPUl5BmUM/mOyy0cEZpY6yJZZSQTa2BSO1RYjBUVnzZjupZUHeISvLxBYMwSGSAQ9igRRBJntbpb+3WEGDOg43ZBpZwWsebbjv03BBdQANFUnmWEGLAJXr7A5mQbZbx/TNOj9BgIxqyM1RhUEIZMpM9nwTQSkwTJGR2GlBEfiIYrsUncFeTcaz3ZtfQcol+/NoUanBDzvj9T/soUGkzbQ40MJvwUctoJrRE0hBNZ23g5NLbEFRqnwtRpdGQdo9jGuRdmZBvMmAFdOlXcGZ1Veats96QXbJGP3UJLNBwm6ZyeZ9T8EWFu2c19kTQbB9TWFDXYBBHTVl7rT0T0Hy3rSfYk82Qfr88Vnm/G9B0UV/wncENEFY0t/07xVZQYba+o3kZuvAoJlDgXexI0Fc9cZ1oadQQXgOFAXhDWNBeqRYyS2wTMH/fj8rfYExQSL5zVhUDWzBLp3F/L+1XkH6XEXszFs1wRLYTtfhVWXBiiYE8DInVUFC+NVOGPeGQYZ/P0qCtnJBiAeuBkW+mkG4+o0bgshwwUe3g8BgHl5BhueDj6Q0rMEZEKgOgrl1QfROgoqZIU1B8MmtMuA4YsGCVqb/eQ9EQQxK0JE3ZWBBab/yHvEkaUEUpWhg5lRmQfCRG2mu9WRBtKSM2z9zc0HkVJG+QN96wRP9nSfv10NBAQXzSMnRXUEU49MmFXFYQeeq93+Ow23BfTim/3jzaUEeiBuH+UJmQe5f43/8cEFBAWf3Y8mjYkEmIVD7CnVcQdXIQTVRAjBBfVKFyYMMiUEiJGrFbvJcQQSCqnN4YUvB0EdZFiS5OEGMPwv7WC9EQT1UjQz+2m9BEFcZ7VofmcEq08t899hrQSgc3PyCL2PBdE9yhyBIeUEKKPfCmxhAQfKSNhfPzXDBptxPbLoXNMF6ump4BT5PQWyyuQ7zFV1BQEUlWzx5lMHvz/Y58Go/Qe2BQRbnAExBaqd4IHBDSkGWoxGb2qNSQZ3MZMSll6dBDlQNOOnkcEHoH1G9ZflOQaLAzlF6uJtBazGL458aaMGmN9IrptBHQerNXLW9Xk1B8soa3nzaSkF8CzxS208/QayOxWn3djtBcsAg0in8cEG2X0jsjDZAQfhaOvG7kGFBBQFUpkc3SUHiivqhOv51QbtjrnIuH3NBEKC/jROxa0F5VFAMbRd7QSfAVht/g2pBqrWXJppTTUFa3oLoCMOjwaTtKGuimaLBFFgdyKq2cMEWC4mtYaM9QYV1W5nXvWfBFPyn5Ta6ZMG8pgB/tunLQSI0rnXaq1xBkaUG0iiTRkGyGmDnGcFVwQhWOELlTzhBOtQoNYY68UAUouvbtNNXQWUOlH23VmPB4yFChaaddMFquAHIAXBRwQ1zcO+N/1RBTCuIBy/1R8FF9Akfdlg7QYnUB7X+V7BBOWYjq1fChcF4Y0UtyVg3QVqqUnuCVlNBuILRRgy7KsGIycu51iMwQeWeerijkEBBcrlrgcNtYEHMnLvHUeCdwa5BGUcWCGzBRV+bwKF6cMHa7rEZ8ck2QY05L9nt3EpBvtpzSlcygcFr/W5LgBdiQS7o/HeByFnBYvcsFnm8SkG9A73NhB6wQbL4DUlRqFFB+ALZMVfyesH6ksryrl88wVoKTj1KfXBBdxQS1ZdYlcHGwkWEjh4VQaSxAlQuiIXBs1hwYKyuRcHKXkeOk0R2QU0IfOfckYFBeKiBwlB+mkFWZ2NTWJEIwSHBGiSkj2FBA7SqzSa2JcH7otOM/m9DQdKFfyfd+YlBivRib25yM0HgBuFJdHB3QaVPe3e+5mnBapT35tUkmEGbiQAdyymAQXxxpbPhtw/BYeb0Wnahq0HI0Fl+de5IQatH+SceQFFBVSNSwddDWcFc+ua38kFYwTQu3kY8JlVBkvd5MgFyVkEZsjSpmKNRwVVuOCqNwmRB2jBdVtQyc8Fmb4qd2lppQTBMSm7ovWBBVRms6IuibcG3mwxv79OAwWa3XVgOl1pB39Q5+nLxYkGyPpQunBM8QSC7hs72JkJB77Gymn+nTEHzr8Qrqc9PQUGy8ZSk0VFBzQYyBeREMMH90s5l4rFmwQVBl66V6DJBJZ2700oNUkFkizYs9hb8wJ2b9LXPbFlBBHzuIjLapEFm4uYcPwmFwULdZSFcFE5BQH2zHEZBmMHWSd7nA7WNQaXLtnzEx2LBWhltlB2CdEFY3WPm93RmQbSM95Jt0mFBq6P6pE+kQkHyRSXMSvxpQQ0/M2PEEGbBjMmgMH5cYcGgFfSaGAxSQfwVqgdvQDRB3ihoxGBWaUFSLVhCtfhhwWyS8kxfRUhBEkiN0PTXS8GcDKznbUl/QUSD6UZqBU5BD6t1lAVjTMGCAN1WbtxfQVjB7jIaJjlBGWTYaLefSEFOlK2ezqRFwfwb4PTGSDxBAJvuTApoN0HMsyqqbE0wQb1dVozFiX1BuRyi6IKMYUEO1jfx84WcQXVYueyJRVvBxLvaf/SNZUFzXLqg/MBXQfHE4L9uw1lBgMWQvlUcd0EhzeP+9FhiQctICuOZtnTBSEJpoBBx4EDNVIGcb0tUQe+qeV8G1FxB2iXsI9BvQkEItW2x7po1QYa6mhr8J0tBqzQttQGaWUHwvIVBeiNTQVTVC/cbMVRBCoghdymDiMETTZR4wgBmQQRMQL9V0znBlhPXJNKDUUGdBxVvi481QR9HUdftIUhBxOT/yYqlO0ECVW9vJTKHQcinOtIQPoBBWPKgFEljakERbcoMbFtdwfEfuAsSgH1BwshpQ+pzkkHKf5C/NaViQftCdnovrDRBLeRdbthpVME+0yVcFHx5Qcm8kYBjwEfBqIAN+UuxZMGhJY4Ak95gwWKnyAL5XmTBvoT+jHKwi0FeBLNOVnpeQe/A0GWbcpZBKiAyN4nEYEFXLoobOmNvQVAVTnG5UZHBonU8kHNLQsEi0FVFkVxIwTtQ1+IGOWdB5tLXReyLC0FPos8iUhRNQZg5nIw1G2RBP7bt7lFrQkFXy+tmYy1ZQY0N9Cd340dBINQQ/Q4IR0Fdlo7I0VZUQU5kWSRfzEhBdh9JPWcKNUHW+/AY8ZHzwCeBFY9u+DlBscomE6GShUFPZBaR6cI9QV1yRRIjx3FBvwSQssAoY0Esw60H1/uFQRxD8qyXc1ZBDTQaaC12YsH6QvHZZDatwaVG63a75GPBBRxE9aKUUUHYWy3wJEpHwfqqPUI8zlFBhwHus9auckGy40je8wF+QU7xHWc1RlBBjqMAHNfPR8EFcCChUVRPQSIkGsXgEUBBqzH6mqlYeUFGkmnsqaTtQMOuZn3ASldB3AX/kY8HYEEmSReCSS5vQSD+LZ+wD0tBS/nC3vRYQEEG0cOsWqdBQXfkK9UGeEbBCNXH7zgrZUFhFtcvApVTQb04DwSRWF1BpEJzvhnajEHmGE8V/3JxQRzhXO96pULBq/OIgrWqQ0HTsHgxtDlyQYayfoH1fm9Byj6lE9knUUH/a1tVFzpnwaTGAiL8wpbBNbItyPyQUEFikSiZJbRWwTgRQPjL6GvBgI91vsWrLkHo5r81k6tdQQiXcqfaG2hBkS6GoCHOu0GD9VIvYX1/QeVwlHEsIWBB6ndvUxpqoEHST4YhcUZVQQYKnwxzR1HBCqU9yRn+TkHrO0ct9pQ8wfBGmf7sq1HB+7P174N5gsGizyyETgtiQajy+dvtw57BlyxjKsGEUsECLVTaf+F4wbtw4tC+HllBHV+CHRS2U0GMJEz+njNUwXc/BNJsiUdBukdn6CFBQ0EsdO1eXFWPwe3bHgpo5ERBGAtd9q9IWEHUgcVuN5NSQZqNTOf6H4PBSC+2ji14RUHJymYna4dfQQEK/UphsGFB4XH+1ViZVkEpYnu+Q4NwQRjAAnrIzmrBW7QQt/TGl0HR977w03ZnQewA6D7cAyJBLrjPhxkdZMFc8B7OUflDQcB24YXw4U/BFFTJ7QECdUH4YCzhUy1GQZKQ//4OqWtBHOOk/9yOZUFg6ZYJ2dBRQSo/cOl4R3rBLrE27gQjXEGgOBj3qL6DwYKZBjnJZZHBIuuRMTB7b0GY3xVH2iJxwbsk6oleBTdBEZfmQyMwW8HmwCv1jSpqwc0VhR9I5j1BZ9wyb2HJXUHO5B4kEFZeQfp1dthYsV9Bnw908ChtScGQP/WguZYywchEx7b7icvBIu/9Op5LYcH0xKdBjWpWQVWYsSwhDzDBP0RVXTVQU0F3R5MDSGpqwVR8TodLDmFBtAV5BbEkksEx0pTyicRXwW3+44YrBlFBhA05DkaXMcG2G8QvakoxQSRVWVI/DFNB1Wc49smCJUEI+qI8vp9ZwTlfX2Cv2mLB/JP9WYmxH0GQFJIvN/ZKQfilg23eyVpBSrzZC0flgkGmVjpxWNnRwa4rURGZIGLBPWZP8cpBLkEfDNaw+xhTwb4c1X2Q76FBtC0Y2VuSmUGPhB+yKhxBQWcgVD0mAnjBUIX9eaDOmUHz0eRf5717QV5ugwVgS2pBJ2VYU3a6MUHSKbTBCsJiQThZimYzIHlB+H5oAN4BmEGRIAkfsrZgwc7g+yQsyIBBL2Zg5zdLgkEVOT0IyJSZwYu7KIlQ3zdBJjhJpP5GW0HefVfwT1VyQSYnunM09VdBVD98u3lyYUFeyTl1y4I2wT+kQkPzf2FBIIs6lmo5FsFEP6QDho0qwQvdar8GwXDB4koVZjT8nMESxLCAcpYxQaPiT6jsYI3B/XQptYM4dcEliobjHME1QWwsIFoxM1JBCmF/Ad+EZkEUpAuzRjqGQY00eXxq9SzBEOHZuEwLJcGbZmgTVzgnQW9x/NbCl1JBLPqMnla8QUElEFyDpSQ/QXSdDjBQuWpBR/+HlXi2REEsAAtP1HeGQSgGUEcuzFtBhfSlPA5sJEGU/gOZcRFRQagx60qzEGTBiJ83ZpfFkEGo8oTIvuvYwZrCMBpm4iDBc57LpWqAYMEXTB7D3zINwQQgr7xf5FHBnc8E3+Z7SkGQ0SXYANNJQRx+f68QukJBsk6dogtwckFex24N7LCLQVnO/M9C1GNB/myjBM5QVUF2DsgAeEqywbbdTQDeaFNB8THwKSQuY8E08tO7YaV7wZpwBuQ0MlvBPjBiFLAlXkExRD/0LeFOQawjgFdMl0bBy3DbcTXsJUE/qQoeQmKDwZFiTT2g6k9BhAeBcV58NEHsndclntBXQSwoUp6DNjVB6EXZ0DFHRsEYkmJhfS1vQQU6iP/N4FFBhrGikc/hQsEC/UDX4mlnQXdTwDvYqFtBuNJUqepVbcFPhHVJ+FN0wc3lBu56cM3BKmg9cHCVQ8FN3TjLEu5sQbdlz67tyrzBFFNEkYJfUEFzH3/hPJM2wTgyfW+vHXfBJv3kJaSuYUGIp9bNW/5UQailC60V4jlBvmCuUX4KR0EMIPQerJa2Qc83Md2mYUNBRGoIVDM4yMEgsO2YkV9swfTrMvT66llBmNcXwEWPVUFWgUPKc/V1wUJpcbOfNTTBI2YLbUXxTcGwEaSnP4tgwb9Em3sgElpBpELLsPZYV0HQLZy393mjQQ57JxPGnVFB0YpCtUhxakHU5eNdHv5LQfSZpxLj4IpBzRY6w+aOQ0HzFA2t649TQWCHVm1BOTbBH9ntIJ9WYEEZfVCaAn90QYmz72tJi2NB+H8zs2S1a8EnxVhM+O5oQcUYR3NZNZvBpPLULC9KVkHsA7rO8WdQQcQeQMqzWmBBBqFlwAnJaUEKvrxnvyhkQcmGMyk9MobBFh2TbNLxOkHPQkCxsDdMQe43c3v2x0hB/ReoQf4mb8GvZjwx6r9hQaVo1uK54GPB3EoDLZdEMkE6xcqPF79OQYYWxfRwi4bBmOLG/5lYMcHwRDZ6YK4rQUeJWbOTpjTBoBeSTuY5Q8HMCLUdP5pQQWhi4EjnTJRBmIv+NJlnf0Gmu6c9LAVjQXU+/SDrokpBXPacxss6YMEHB9/1EBhSQXKg9SPWMKhBENIcR8vXXkG18v+ueF8tQfSaD6vxnSNBItqLZd8jBMFepyhfd4SSQXa1kVMcYBzB9Yq37AfQcUE0IiYfKw+RwW9Df5PiqUdBGa+VU2h5mUG1Aw+8dEdgQXRL+6wzoIJBfIDLzsTLUUECQC6kvwBHwaAP9HJuOl5BINBnsDs3YkFYxUU8eJs+QWwdnFUybVnBqeakQW+HocHMhLMG01pgQR2Elqp82pLBCburLzk0XkHNbCYPNbFKQbhfQ/nBZmPBNP5s2NzvUEEJeevHQgFMQVSjxEvoxWBBaQOxd+g5ccE6zgKWbGVNQaGG+4wP421BuAsBczeTVEF+McAX2EJoQUvuvzhHfoLBpR2wXbo0oEEg9X6yNJRkQQyOvbDXnYxB4VzpOnSCYMEvSc8BypBRQau/SHJmZ4BB+GbWZ5/Nk0GuoZxszM1jQcMbCvYh801Bltlv3cYlPEGY/dUkiGM6QSYieFgeIH/B3q7xnkMzccEu1GI/lOVFwTDvykvRXWJB5w4De5VQMsHK9s/CYKl2Qc0J/ohK3dlBYmlyuYVmgcHqOMXdvUV9QRQ/PKKP+VhBvYh35JPeVEHu9Xt8A4FWQZ7wy/ESw1lBMl8yL5A/o0E81+a3Y1Y+QS4DwmWQP1rB8VDYS42mVEGRUvehioVgQe5REzmU4D1Bp0QndPF3UUEXO/YxpUJlQTkKK/su8YnBWFxnGskDc0F8+0Lp9+1EQY0fKeGLkhbBphCma349ZUFl2kfGowtVwbgw5l3hX2RB5NuIRxU2ocFfMdiLfgdgQfovvgAQ/y7BFw8gGyGaZUFmGBJoeXBAQfh4haCQpk7BBvGvd/OcKUECBYdyw7coQTrZFnHOP0DBaqQpS9vopUEM81yTEESEQYZWMMrFS3JBvBGmK+1ZLMGbL/2u2Sp6QetZ324uZ2BBlvL/dytCQsGSHf2x/IhDQV7wCeKtuX7BEaKuZIv/ocGkE6drFak8QU1lvwxie0NBonIirwsrJcEYnb16xXVgQXsjvUff5F7B7Dtb3/8xoMFfDkr7LwFSQZwTrBF0ZkFBdXewh5QjYsE8LmKO7NZSwRdKtBhLFGNBjMXnXZJhT8HmvC3jImyhwTCfZu1CZnNBN1uAzeUVbMHGn+qMpzVqQdWny1Q3xHHBkLjHcA2dTEGJeD4+ynV7wSYiTB7fxWLBGL86SxUBLMHbAnA2hlieQaSyz+PuLl1BZKA4W2sDQ0HiQ4+0kTIeQUxhmF4RkWhBOhqz2I3CUkEyPg1rBuBoQVVIcCGEDpjBxphaEFFWW8GSHj8O34JdwYMncOBkdSpBSHjzf9CjdkFOYDeca1tkQcjYDNHb/F9BHSY621reUsE0kgmiO743QRNsxz0hlllBloVnHO4YU8EwuKsFNFRMQbp8RtY4enZB67gQYBHECUEe+sbBBZYjQerDxATziUpBWJFgx9zlxkGkx1xjpt5kQTbACcYKB2NBxyCbypDZyMEPybOMHX5iQQ1qxUyyXHfB9upDGJNEeEGyat8YTOyCQZOqnaxzCXRBTW7lwMHDQEEiomO162BeQaNRq+EpvTfBX+WVniP8NcHsD/8wi+NIQVPK6Cctm03Bmfk/5TEzWUF9qQgo9EG9wXrsLDi+hU5B92wMw1SJUcEv1/0+tFtTQYRn+MEiTXpBJhWoQG5cJsHxIJQ6RmBUQRaaCeF3GIBBu9hRPztIKUHXEi2TlN97QeovihQ66mVB0AweieBRSEEb3omf4XhxQRfAwVEO9EZBevhTb5XtUMFxaZp18QRrQRiE9xlcWDVBO0HmqZg0TEFGB4KXRB03QR+zJURBZFhBFh3jEPW8O0GJDsupN3xxwRPch51+7odBTF5VEF1hdMFWIaSj9RpqQdj4xxGq6FdBLMzAMNdBcEFKgXAvRkM/QTXvotFCkWNB2gxAmYXTacFgmnzIuWaLQbAgfYbHo1dBCdrFa7ODVkEUoCxyPA1jQY3t5SU0eIBB20nxuBMUcsEEwz2VjyFBQRrJ7x8NyVhBJLyf250CgMG1Z4NO5HtcwV7a3mJ3A0dBeotTXBY1pUE2jzbnWAyjQadwre6bc27BISG9anMJdsFKaC2BwfRPwVzf4M4/wS1BPHRSKHemgsHF4BM5PeVWwQuOZ5w/ZmBBpM3q92NOVEF67RTao2NtwW6LASNQhjVB7uWl9J/6M0Ffkph+59ViQU5lfqUdlF5BYsJvFzQTbsF9SS+T00dDQRWgCoCvU2bB6qGA63L+MsFzurFymANJQeQtry6BY9VBeAF6AeFLUUEPmggLcJBSQQBBCxOTpGlBCB0urY3DO8GHc25YJTRXQdWJXzN9bVzBOkIQnKYIK8FkLUdzzOx1wXj/Xkoin3DB0ogvBvS/aEEmiDnLYD9wQTNdoZYCzUNBxefBuI4DQkE0XrCoJyCLQYCv8iiYFmjBZRox2IcrlEHqjGiWSiNUQSVBlhvhu3DB02D+5CqffUEYRJZx7epLQW6C2KGWUFVB0TQh4dNzIUF4I4XPYzBxQd7x1Na3MUNBvC8ZbPMAcsEbU3ZvOwtzQajPISg6wDXB+8VsRBMAI8HAfEVgpPNCQa5NyJ1GypLB4XE3zkVAWEEsS84eO82GQSBnjMpKglzBMI8FwFoGMcHuQ2731jY8QdDTAtGxuGRBynI1wtbzbkGvZWQWLS+MQZIubb4hXVdBqfss3001UEH2W2hnDTpHQYzCMxb53jrB93O1GLp2JEHkkaNk13WSQfXHVgKf2F9BMHHhzEt4gUFA2rzTVgnLwG5ECkdQBkxBxhL4B3fmR0HmGTH4mGdlwdwtuxqx77HB92XwU5vcU0H+XtA2Eu5rQWO35mGvhYrBC4fWa+tgbEGNE0a4ciRGQc3u8YHe6lxBqR6nWR84UkG8Mmv32yREQTkfYEanlnNBncxP48sbQEFPKSA3LU8mQee/IKqkNmRBoye6MRFaZUEBuFFm/rKCQURz3UwEVYJBNqpxs2V4MEEC5rEjxZZhQfgu0BLQmWhBomBdy0M3HcHqOUeNLWJgQWn9qEa8gaLBjb9BZ0BmWMEwjJC/DmNkQQy7StdJ3VNBzxqSp8eSYEHm6pshTANtQQQr4uOqyVFBVRRDsk98VUHXAq6OTH5YQZQM+bjByTnBUV6YkkNVRkGw+ettSSdPQQN3eMeZxoLBfo6NmQLBosFI+gMuQ6icQeLDV34kilRB9rim/QfQR0FFeVr6rDtlQbprUwl5TklBsBkzxk6PgMH5gjj3NslbQT5DJNyEkj1B3JZx4MtD/MAOqop3h+h/wQ5o9C9kNpHBcne2vSmomMHO5T4eEHFxQbxuhNvdTUVBTQbAV9DeZkGs+EhFqzBLQfAXpXHFFkpBR71S2JonTUFcRPGPostwQSVTC6C6PkbB2yYEzsOtNUEuT1HWjDpbQXsE3WOO0ktBgTLHpxOjZkE6XoHzOs1bwWV+csC6aH5B+5PyI6ehUcGOu5tTYWdqwdj3C5fBtZHBoa6CrhxjOkHKe4GDAjBJwTi/rs9klXJBvRkSvSbTekHcWMIb6MFMwbtdMvUArUNBkiQG23lNbEFCJxOVLVxXQcymKPQH2n3B8qf98ndtg8GYAw3bH7wdQZk3h3Hw8GJBFAAD5gxwR0EeQ+jSLxpSwf3Q527vcVNBifZoEx5ZdkHiJAjp1XhbQa20b3VSbFvBqtx3SQvwsMElXeAohv1YQb6vGpuYE35B7KpmOSP/TEEZckgsuOWFQbxaUxmdzYNB9yS7as+WOUFgmHWkiHeBQTW0MPIewXNBuLxa9x0WZkE2Yd4zKY5pQcsw+nCmR1FBdCJLx+cnYEGQzY2heTtcQfIWQVwYnWDBp1Dis0P+UEGJErLXXXyOQR7oTEgLWpZBWcmiFBlYfUFUSSlIY990wTpUBDAgFkhBFv6y/H7YocHe1JForg1NQcXiqzppdmtBfk+Ot2yaakFyJ7WWWi5KQW6xn8FcthtB1JFQSe2zZcEA9WAHE05pQYlZECDE1WzBQa0JKXLRZEGx/mEiuYpNQUOFg2CyCWFBMp3evElCQsH82CZWK9AuQah5cgGC5YXBJh9PUfx/ycEHw6eu6xlAQa7wr1yrSX5BkqPtmdVFccEuCymrAApyQZXi1WsTxV5BlAtdntEQSEEo+ifygaJZQRpH8kcmfYBBEAN3kB56VUE9z4RxJXl3QSwpdeLASG9BvIH/7hl9asHD8uwIWRtPQTT+ToPCMWVBSz8EDPJPVkHrMRKoGfO2wSVU1P1ItWDB0GcQztETrsH/tD5hyxJlwexQHZ+LClfBQhJcI+hQgUEjfg+cwThBQWypTEoa435BE/Tg1W0dMkEXqFPoX4UVQbFglQQDNypBIpP4eUOiY0GwDUaOpFtbQbJXyM5Sn1BBwbE+WnappkFpP9zgKftSQW68fZkBW39Bmb3MmnDz3kEXmXA2MBJQQRGo5zXEF1TBsg4zaQiOk0FsugKusbBWQSzrvASl9VlBz3Ux7ROjUMFqhQCUYmDPQZH49nIEX2XBuWcJIfoCPkH0LdrWSpw5wQhoXgjbnjxBJ2/1cJYdUEGe4CQBG6xiwR7N8tqiKkNBFrzv81lyWkEJsvqMIoxAQS4KJdxLdyZBsHwiWlGoYsHepC8sRB5fwV7W56HaWBXBstqtw86cWkHOHkNh7nTAwR1MHYAAjmjBLxe8fT5oUUGywzaDt+dTwZ9PifBxEitBwKpHfJ69fEEG3JnF4rY+QSLriWjWpztBTNd4JjCbk0FCFjLgoKZVwTwsJNKnjmZBJ0dGl0oXpMGaSnwKdVRxQZHvXpYQh25B2WPM9/VaJsHW/AtyrSSRQSRsXdBDzXjBLPmZpyG2PkE0u8vu00txQasrmXHW8F9B1ic1khjMdsE0v51bALp7wVKM9py+JpLBA7rTzimjRkFOApYCOK5HwfyM8VhaDCrB+CNc4wI6WUHUskXzaLxkQapKmH/4E0BB1gw13ND5VEFXFGNFHOhCQcHhC2DRHCxBh9Mad2hId8GvBakw5IQlQXEZqToWeWDBkRmI4K5SdEEcbxdspUxQQT7qS0yQm2JBv9z3mv77gcE8UQ9ytNmXQQ1Nxi9SGWLBh6FZup2pUEE0Wr30K412QSzafZ3p+WFBHLZ0N439AcEvEFrr95lzQQyWnEHEjkNBE6j1Yc3/OEGemRWLITVFQfMFTa3Va2RB8JXXWpjprEGcHEo6t0pDQeMOtg65BVZBnpg5Jz9cSUHpzWYPLFRwwXwDu4LU015Bmoiy7uMDekFZS/NT5vM8QUZlRW40zTdBXIjYFGyIfEH8rUZ6CJNLQQ7hzbxCV1RBdsUj4uZRWEEQJATniOg4QSYG8Xe9Q0xB/comC8lgYEGMujP8odBQQYZ3xQ3XJnPBGua3kKvIWUHROZuaqtRgQQXoT4Q+aSbBmgMh9m1HU8Edyp9s+GpjwR4nXVa8BllBbVEOao1aX8EUEsROY2Z0QfDLrnUsTFdBVFSj9xxaUUHb+QJkD4U7QTrn17XmwUdBpJ5Dlj9aXsEoBM8xWJdYQdNUrWKopGzBhCE0WMgSYEGsu97stsCWQaLSOSFB60pB/HWh4nkgWsEXA3mUAGM/QQZGLkdnumjBfiNmebjls0FjtfrXhf5AQU+aLrOg/TlB2yMzu2SvZEHMouHyjQ5xQXj0pO0ekO/A8buI4gmlWMGkMIyiGDt/wV6Cow07PTlB3/QSyIJiYEF8niNwA/JoQbJjvD7XH1RBHts80TeZXUH4Vaf1ctBsQfD2K1ui1njBTIgqDGmuY0HcQpx+Mf9WQSavIKvQHnhBh0DYF6p2W8HqpKf4vq1yQUrHEPhuvm1BgPCa552LQ0EFaB26fVG7wUl4Xigs/UvBy1tbnL1Jf0GhI4FnTyl4wc4XptCeDYNByPvgEq0bQEFQ+gGGGVs7wZD+WHAgeqdBbA/dyRQgP0F3Z7zouhVuQaJMzU0U+mBBjj9rqxFaRUGqypODob9jQQpjJQ/VO2FBiKEH9F2HMkEWc6qz32lMwa16obudAHZBZOf6AJQgYUEylpAvmcGAwWpEoXm09VVBuKFPsZ9FY0ETRFkqB945QXDI4WPpu2BBqreeaaMieEHJKafDRINXQVTKhd6dL4BBGWRA3ZloU0GkWYK0eo9AQeQMeseIXcNBUuzbL57DgMGEMINqmeRhQcN42THKmzxBioMGOLXZc8H5OZSv9MZLQUgAt9TG95nBRHk6zAIzcEGAhdc0moFTQTYrlWKQgtzBIkbuBKeBYEHi8xUIBABMweYi2ztrZ2LBbiHiQ10ubcEYVz6X9T9OQVabpV3JG4BB3XVg9ztMc0EjV7r8rAdrQYFaa82jaVFB6aPTNp7ZXUGu+jRb+JtywTQeITIjPHBBs/ND7p5aVUFWCAi7A1tEwZKmSTWglkpB1hXvwR5yVkHFHB8WD19eQXZtuzwwMmLBqEBEHHpbTUGUhStAq8NgQVwdFrSQUmZB/+zEY1X4O8FcjptBmCdQQW16LtHAf0RB0JRXX3D8e0GZjR9G1R50QQSX553MY1tBfhjJ036BbsHDJJqHiRVfwcV1N7r83WBBaWUgfMWvRkGsEOA0kbJAQYLT74+6v6JBGfrqAqasgsFvDwro/nJ3QWwlYt/x73JBrc/DSerzOkF9MuLiF3MgwfDn9ta/+ZDByY8Hl1ZNSkEL+qopd680wVg7VM5bvPlAKrbtGE0VVEEA5avgiqg4wQtNc7FgCZfBeK1raJN/UMFAFfgBN52bwb1aPIvmZnVB7BWGalj+XEFxDK3RlsRyQZpncFB/G1FBTPn9Wp5PUkHES5w83oMzwZIf9jvye0dBeRNR8qXMXEECnYslJhhCQfkxbXde0VRBiucAhTErXkFrJNGukPM8wbsBP2tyQlfBYM4tK46u1cBBGbJdB9NUQUa/wQOK7JbBS17M+ymWEEGJKXEaCQRmQaip7IGkPI/B2LscUriPtsHhmmK2UWpSwQmmKfrPzWJBpjcBl+/FYEGIqzcV+u9Ewe7SiuN+BFlBfDQ5pvwsdUH+dJ864mNqQeo3+MZdbHfBcjWsf3YOm0HwDslwLx1SQd0os5q7oWpBd1cCcg4PW0H7EzQFwq1ZQZuLvRLlLENBfO5l7olAsMFgwEPTW4MjwXPoYHKYS2tB7md7Vog6mMEiY8wZFMxsQdT1obolJ2BBh6aWXcg/JEEQAYgJpoE7wcYm1L/c/EVBSGRmgFrNG8HiPGgmwPtCQYBwDf4jHUFBpq8rEH8MOcGIcWGrmZFVQV5H2hsSGV1BsGklxkU4UkFKfoAj/xM1QfJD3wGJjV3B5heb6L99XUGzA/F4n8SawV0gHV0Y/1JBglF/G9A7qEHaVw46NPljQZIBiXk6cpbB6NCcNqt3ZUFLqdp85I6owQrnQ77oSmLBI/IJiAP1M8F045dBfZdhQe4LNdG58ZJBWgOjvD8zMUGGMze4PWZwQY5/2IHw3WVBtHXMeQY5GsGDMyOZphtrQTErMM4S+gNB1RMLAu0WWEEz+OYFY+lRweLRn9i3/ThBICFMReTjWsFlS7cw5L5XQXxnBszZAWPBump5lFHTAcEkNnxWB5ZiQctr+T7vGI7BWnHvhWggUkFyw52oTNpUQXxYUP0fjXFBjyN6xi6EEsHyo3SsCx9ZQTWpFFnTcV1BFlen+cmMusHdFMGRyoNjwQAiULoc0EdBzFF9/KDNWkEzx0kCQ31RQW/Vc9nvQrPBFFLI/IQxUUHOg3BCAuhdwaGBz7CnxZjBNh2XHp4keEGef/Akgat6wYGMj18WeEDBLqyVf00VLkHar5b7UXlxQW9GEmTHDmnBwphsu4dTV0GjdGySo8B0wTB3HUkoNStBGVg9tH/wREGx80PIA9x/wc53DLST3jpBamdMEBW+eEEE134boTGuQchPR5t+66VBgNCtyiN8IEFbt1MvgflAQdzMD2bXVVtBNLBCCgYtgEG7E36EzbdAweonTGrVWG5B7IORQl1ESEEckHzJQWpiwd+3UBOA6ZBBkmIG+GaLZMFp9j3X8aJZQTgOn6xmz7rBzDc4TkLNX0Eqz7YUxMLAQcjWVr9UFHJB/3IkxfkjSsHu8i9GaHgxwRtfP0cgMU5BA1YSULnfUUHgXMp1Qh1AQWq9+SpNSXFB3CbNojGCnEFAnv/Cj4ZUQQUfUBbGGUJBPO7zIhQdOUGA/okGOSCmwa8BlmMURktBiltLTi45XkE8MoVzyCdoQVaeQlxBIWLB9q8TR4HHN0HPs+GAnI5oQUoONjn23EJBpsvyKNJ8UEFm7A1SQDZRQUB0ZKG4bFlBlcQ+GtRgSUHQI+d4p0teQYmAkDOIQVFBVCWYpmjGSEErJtPxgFdTQVXDrQZ2+XpBmqU+nhT3ckGeg5n85KFfQWo64TVVvkDBpvVHX+3jX0HoSb/PezZcQdjVWW+cG4JBlII4FEB5kkE8pE9UhnphQXr3vdXGjTVBkCDEiqosTkHT+sle3Q9pQapurMprA8FBxvbMCayxR0FEJ51FpsNuwfh6Cj1Scl5BqcN13FDUUUEFnq/yMzpDQXUzN9fsUhHBYITa8GW6Y0H/NHuYqCVmwThkBW4CdEFBUmn5zUcldcGS5ezH8xh+Qc4MZ+LamSZBpYhFIYMXakHpgjNzXRYZQeAHo+SX5S7B5XXK0WGNa0Gaaj3pI0vUwUg+nsx+hlRBM7NiYoIWXMH4ijIviL9fQVcZw3f7dFHBz/ONL1OchcEQW9ol501fQXf2Ys4Q2EpBFzxQP4ShZkGoSc1VpkofQdTERx2qUFxBIME9ueVVNMFCcja0QJucQT5m+f0oYJpBl/2NZid/V8GQgBroIMHTQZvNHNQ74FNB3JC1zizBZEF7tzklVTZBQbhTTVt+uYZB3vM9ueMir0HPU+ZivqZgQfaaihrAqU1BjAOnfZZgc0G67qybO4S0wWYi0kLkWFdBvPro+LPdb0G67mNMzRF1we6mU2lqToDBmEnYHMw1ZMF1Pl3t01pBwcRNFOqq+1dBeM5PNTtkcEEa0uSoHBpkQVhKq4P4xHfBUaOPJvQgScHC9e+qCpRVQcqSQg8524vBn4LXY7QIQ0Gx9Q0qo3lSQUgeqLHPhGjBDf0ULujkXcEVqcJNgCNUQSdhoE3qPFRB2+A/rt8sUEFrvo2/OfpAQdNMkku2hYjBiNm5j5bdVkEYtQd0IYNZQSCeNFxhhDtBGq6AMCRUVcHwPE/Wt14qQcGZa+JMopnBFriXC/TCKEHWIrrz+zhRQQocdPRocn3Bw6j1G7IIRUGF1Y1ez6iVQVL7mO56ImRBLDlMlR6n5MBojqxdoXouwRO13IwdCFJBWDlsG4Fa0cHIxwvAzENGQQgO6Lc41mhBDPF4/1Poa0F8H4lZoGGlwXKg6c5g8l9BezTVKHvkfsGFLPB59kBUQXqRzsPYKmNBJ+s7CadoWkGT8eQu1shzQWOYGmKtis1B2cChby+XaEGuekqtAs8zQZDwJCkYIFNBP6j48T7lXMFNO3ZT3E2FwT1ExhA40GRByvcx6x5WckF544Jf5Ih7QR8jXqwGrA/BdCRXnbCjWEHBRK9M37NjQdc7V0ehy0fBYk92lZHxR8H+Zdaiu7xlQWKFtUt1J4JB4vC0iB6CaMFunHcG70KDwcKje05RykFB8MYFUPhYV0HxFrPkBmVrQYrf1/NlJ0/BpsUN7c2EXkHhY5Ab6xhFwbDOQrAuSL5BzL1oD059UMHKjGz9TL1bwSXZzY2JV0DBbmesld7PdkGZ2rTcIKOsQTQ17GrNdF1ByAekdodRTEGU/z67cD5nwZggfKN2nV3Bd9KUWWqZNEGsVQOXdqeUQb6xOke5ml/BEh9rna0BnMFK6yXEa1tPwbgtmBiAcqrBxtR/rrc8YkFMRYn9upiWwcv+NVc1fFdBqyx9WIZNg8FRrB9d9Y22Qbzd4AIr4V9Bc0GwKbfYZUFQuhKQaraBwdq//CnWRIVB7jwTE5ebfUHQiyDII6V2wdJf2Ic1nGJBna7w4jtoY0EqRlAsPAd8QTSPQ9jRYldBRAeJ+knsLkHwE3fZNf1mQQNOoRmxo2FBDpAkSZwbaEFr67xXQepBQbnFUS5+iExB2BSbGPHiYUGrjCEYGlJ1Qfr0F0+t+1pBdoOUthw+ikEK8fx3az6gQU/Zp7PfDj1BhD6g/80OvcFhzNwev4tnQSKh/HUZa45BFGYtHFkgSkGn/YQrqRRcQW1J+xfAR2DBCCbhA3RV8kAhLbxw8Q9zQbwFUzPr/kFBTPkNVq6qXUETu7r8+vk0Qa6GyzXctEhBj8VsMUhZpkGkEjQQrlZRQZ0uFb0W6FdBPopGkHfPokF0ByIywD8wQa7UyqAHv2PB1LnAaliUWsFy8ffFbxxMQSK1teSNcjxB5V5/MrbiaUFzpZfVrVdmwRiNJp6GvL3B/dbIsYmFbUHBf6PMXIVFQXXuvcIkq2nBJgOPKzlKa0FA+TCL6DKiwbHv8rmpVDNBfsDrzqlGJMFedviHKBtcQS39abJlNWPBYAUxnjsbdkFhY3BFP6xgQVTJ5EmEp01BYp+obR9RZcEEmMrqj79cQebPe5PLyzRBAEyIrXewTUGfr2aLSY+QQZ37fnYZfEZB6x9Tf/ZaTkFmu53GUu95QYQ26YUx34xBBIU6/9pTNkHgrjqmRxNowRJKA3eXqkxBz4atAnfthEFohQm8S/tNQamr8+y012HBKKbxU+dVY0EmOyVPbpo7QdBvJAbscF5B1l8as1SMSEHofArl/gLkwPgObYS+cmFBEFWZWIjvXUFdmByg5rR7Qe99BI2fykbBMKAE2GePaUFCOUVP3ictQVQDLDPnbiFBOhe9NPKmR0GIRuiXAfWGwTsj2JJOJTVBfTnYYJzThUFDDwUTzqZtQa3f+yi8yHLBsK1K1+EAcMED8WUvz+4wQbb1qh4bx5PBTJXsruH4QEE7oUaZ6MVXQaAB96Mn5IDBK4zDrgi9qEHRIsRVpNZ5wVAWdHjiAFVBC0GQ0/idYcHgVcjxgPZBQW/sQGxpG1RBVAwWcP/gC8G8jGhc/IcRQdgRSemB015BnAAkuHzwVUGEkYkCaxVeQfihRj4zz35B3il+zkTVVEENA/1V7HQ9QUD3b916PN7A1vjQKZlZZ0F+vuotP4s8QaWmZjG5s3ZBACCJGx7+N8EQJPeLhCg9weK9NAyQqVpB9PwkaTKNLkHyou/C8VVpQRl3k6nqulfB36U0cjOgXsGebje2TPVrQUd7vhxACV9BieBBRvEIckE=\",\"dtype\":\"float64\",\"shape\":[17656]}}},\"id\":\"0f6d212c-5885-46ca-88ea-340a6d17617c\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"6bba3059-1338-4cea-8ebd-d25ffee9b626\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"overlay\":{\"id\":\"6379f654-787f-48d8-97be-7bbb3edfe685\",\"type\":\"BoxAnnotation\"},\"plot\":{\"id\":\"8497834e-4d5b-407e-8a6e-4be8a7d9322a\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"59505c10-32d0-4812-8a48-8d5ce8a8491e\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"plot\":{\"id\":\"8497834e-4d5b-407e-8a6e-4be8a7d9322a\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"ab338d31-f6d6-41f8-805e-dff8101ec85b\",\"type\":\"WheelZoomTool\"}],\"root_ids\":[\"8497834e-4d5b-407e-8a6e-4be8a7d9322a\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"c4d17586-c7f5-49aa-b56e-b7f32b726b6a\",\"elementid\":\"be545f85-50a2-43e1-aa4a-6f2628049c2f\",\"modelid\":\"8497834e-4d5b-407e-8a6e-4be8a7d9322a\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"be545f85-50a2-43e1-aa4a-6f2628049c2f\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.models import ColumnDataSource, HoverTool\n",
    "from bokeh.plotting import figure\n",
    "\n",
    "source = ColumnDataSource(df)\n",
    "hover = HoverTool(tooltips=[(\"term\", \"@term\")])\n",
    "\n",
    "plot3 = figure(\n",
    "    plot_width=900,\n",
    "    plot_height=700,\n",
    "    title='Comments Map by t-SNE',\n",
    "    tools='pan,wheel_zoom,box_zoom,reset,hover,previewsave'\n",
    "    )\n",
    "\n",
    "#plot.add_tools(hover)\n",
    "\n",
    "plot3.circle(x='x', y='y', color='blue', source=source)\n",
    "\n",
    "show(plot3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Import data from API call"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import nltk\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "from sklearn.decomposition import TruncatedSVD\n",
    "from sklearn.feature_extraction.text import CountVectorizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv('issue_comments_jupyter_copy.csv')\n",
    "\n",
    "df['org'] = df['org'].astype('str')\n",
    "df['repo'] = df['repo'].astype('str')\n",
    "df['comments'] = df['comments'].astype('str')\n",
    "df['user'] = df['user'].astype('str')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Load data into a sparse matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "struct_comments = df.comments.to_sparse()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(17656,)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "struct_comments.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                           Thanks !\\n\n",
       "1    Oops. i got it. I have to uninstall ipython3 a...\n",
       "2                                         same issue\\n\n",
       "3    FWIW a workaround is to share from Google Driv...\n",
       "4    At some point, I'll probably hack on a Rethink...\n",
       "Name: comments, dtype: object\n",
       "BlockIndex\n",
       "Block locations: array([0], dtype=int32)\n",
       "Block lengths: array([5], dtype=int32)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "struct_comments.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "- We want a matrix: rows are comments, columns are terms used\n",
    "    - cells will be 1 if word exists in that comment, 0 if not\n",
    "- This code takes <1 second to run "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(69267, 106320)\n",
      "\n",
      "CPU times: user 273 ms, sys: 52.7 ms, total: 326 ms\n",
      "Wall time: 364 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "user_ids = []\n",
    "comment_ids = []\n",
    "comment_to_id = {}\n",
    "i = 0\n",
    "with open ('issue_comments_jupyter_copy.csv', 'r') as f: \n",
    "    for line in f:\n",
    "        for item in line.rstrip().split(',')[1:]:\n",
    "            if item not in comment_to_id:\n",
    "                comment_to_id[item] = len(comment_to_id)\n",
    "            user_ids.append(i)\n",
    "            comment_ids.append(comment_to_id[item])\n",
    "        i+=1\n",
    "        \n",
    "import numpy as np\n",
    "from scipy.sparse import csr_matrix #https://docs.scipy.org/doc/scipy-0.19.0/reference/generated/scipy.sparse.csr_matrix.html\n",
    "\n",
    "rows = np.array(comment_ids)\n",
    "cols = np.array(user_ids)\n",
    "data = np.ones((len(user_ids),))\n",
    "num_rows = len(comment_to_id)\n",
    "num_cols = i\n",
    "\n",
    "#the code above exists to feed this call\n",
    "adj = csr_matrix( (data, (rows,cols)), shape=(num_rows, num_cols) )\n",
    "print adj.shape\n",
    "print \"\"\n",
    "\n",
    "# now we have our matrix, so let's gather up a bit of info about it\n",
    "users_per_issue = adj.sum(axis=1).A1\n",
    "comments = range(len(comment_to_id))\n",
    "for item in comment_to_id:\n",
    "    comments[comment_to_id[item]]=item\n",
    "comments = np.array(comments)\n",
    "            "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# Unwieldy data\n",
    "\n",
    "Our adjacency matrix is a bit problematic to deal with as-is:\n",
    "\n",
    "* It's a very wide: 850,000 columns\n",
    "* It's very sparse: only about 0.06% full\n",
    "* It's a binary matrix: only 0's and 1's\n",
    "\n",
    "## Dimensionality reduction\n",
    "\n",
    "* Family of algorithms for solving this problem\n",
    "* AKA decomposition, compression, feature extraction\n",
    "    * it's to big matrices what JPEG is to photos, MP3 to music, MPEG for video etc\n",
    "* The output will be as wide as we ask for\n",
    "    * The wider it is the less lossy the compression will be\n",
    "* The output matrix will be dense\n",
    "* The output matrix will have continuous real values\n",
    "* `scikit-learn` has a [decomposition package](http://scikit-learn.org/stable/modules/decomposition.html)\n",
    "\n",
    "# We'll use `TruncatedSVD`\n",
    "\n",
    "* [TruncatedSVD](http://scikit-learn.org/stable/modules/generated/sklearn.decomposition.TruncatedSVD.html) from `scikit-learn`\n",
    "* SVD stands for Singular Vector Decomposition, Truncated because we only want part of the computation\n",
    "* Good mathy description of how it works in [Chapter 11](http://infolab.stanford.edu/~ullman/mmds/ch11.pdf) of online book [Mining of Massive Datasets](http://www.mmds.org/)\n",
    "* Right now let's focus on how to use it and exploring the output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(69267, 100)\n",
      "CPU times: user 7.01 s, sys: 1.31 s, total: 8.32 s\n",
      "Wall time: 5.17 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "from sklearn.decomposition import TruncatedSVD \n",
    "from sklearn.preprocessing import normalize \n",
    "\n",
    "svd = TruncatedSVD(n_components=100)\n",
    "embedded_coords = normalize(svd.fit_transform(adj), norm='l1')\n",
    "print embedded_coords.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "The output is kind of neat:\n",
    "\n",
    "* Each row is like a set of coordinates in a 100-dimensional space for a subreddit\n",
    "* Each column defines one axis of this 100-dimensional space, ordered by how much information they capture\n",
    "* We can look at how much of the original matrix we captured with the first N dimensions\n",
    "* The first 2 capture around 25%\n",
    "* The 100 we will use capture around 60%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/jamiew/anaconda/lib/python2.7/site-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.\n",
      "  warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x138234810>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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AA8rmVYQQGgH3AmfFGD+u6jOHDBlCkyZrrwYpLi6muLi4BiqWJEmSVMjmzSsPIcpeZdt6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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x138223e50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "pd.DataFrame(np.cumsum(svd.explained_variance_ratio_)).plot(figsize=(13, 8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>17</th>\n",
       "      <th>76</th>\n",
       "      <th>75</th>\n",
       "      <th>62</th>\n",
       "      <th>83</th>\n",
       "      <th>78</th>\n",
       "      <th>74</th>\n",
       "      <th>54</th>\n",
       "      <th>8</th>\n",
       "      <th>...</th>\n",
       "      <th>3</th>\n",
       "      <th>35</th>\n",
       "      <th>13</th>\n",
       "      <th>18</th>\n",
       "      <th>25</th>\n",
       "      <th>2</th>\n",
       "      <th>26</th>\n",
       "      <th>7</th>\n",
       "      <th>4</th>\n",
       "      <th>1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>notebook</td>\n",
       "      <td>rgbkrk</td>\n",
       "      <td>all of these will change again when the widge...</td>\n",
       "      <td>and the weight needs to be</td>\n",
       "      <td>there's a separate [jupyter/qtconsole](https:...</td>\n",
       "      <td>if there are other selected cells? So that it...</td>\n",
       "      <td>will the \"\"tag toolbar\"\" still be visible?\"</td>\n",
       "      <td>and the backend deals with it fine. That's me...</td>\n",
       "      <td>fperez</td>\n",
       "      <td>design</td>\n",
       "      <td>...</td>\n",
       "      <td>nbgrader</td>\n",
       "      <td>\"Ok</td>\n",
       "      <td>takluyver</td>\n",
       "      <td>gnestor</td>\n",
       "      <td>2015-11-05 23:09:27</td>\n",
       "      <td>Carreau</td>\n",
       "      <td>2015-12-17 06:34:37</td>\n",
       "      <td>ellisonbg</td>\n",
       "      <td>minrk</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1350</td>\n",
       "      <td>but probably leave it to users to configure a...</td>\n",
       "      <td>\"and of course</td>\n",
       "      <td>\"Just annoying because Binder is also down and...</td>\n",
       "      <td>we should just do it</td>\n",
       "      <td>it would move the mark (unless the cell were ...</td>\n",
       "      <td>it could still fail for some other reason tha...</td>\n",
       "      <td>2015-10-20 15:48:19</td>\n",
       "      <td>2017-02-01 14:42:11</td>\n",
       "      <td>2015-11-19 00:46:24</td>\n",
       "      <td>...</td>\n",
       "      <td>2016-04-19 20:06:09</td>\n",
       "      <td>thanks for the fast answer.</td>\n",
       "      <td>so it doesn't make sense to embed them into n...</td>\n",
       "      <td>but it's stopping the tests from running.\"</td>\n",
       "      <td>708</td>\n",
       "      <td>if someone can kindly point me in the right d...</td>\n",
       "      <td>879</td>\n",
       "      <td>but it got changed.\"</td>\n",
       "      <td>I think I see the bug ...\"</td>\n",
       "      <td>apparently</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-04-14 10:50:20</td>\n",
       "      <td>but it is a bit of a papercut.\"</td>\n",
       "      <td>2015-04-14 18:29:14</td>\n",
       "      <td>2016-09-23 02:10:18</td>\n",
       "      <td>but running `python example.py` with an activ...</td>\n",
       "      <td>and it wouldn't be surprising to users becaus...</td>\n",
       "      <td>save it and reload it? that made the error ap...</td>\n",
       "      <td>if this is still a problem for anyone else</td>\n",
       "      <td>@minrk I haven't seen this in quite a while ei...</td>\n",
       "      <td>2016-04-25 18:34:49</td>\n",
       "      <td>...</td>\n",
       "      <td>\"If you click the other \"\"breadcrumbs\"\" links ...</td>\n",
       "      <td>2015-05-21 18:32:25</td>\n",
       "      <td>so they all see the same set of kernels. But ...</td>\n",
       "      <td>which I'll work on shortly.\"</td>\n",
       "      <td>2015-12-15 01:01:42</td>\n",
       "      <td>we should inject dir='ltr' by default on the ...</td>\n",
       "      <td>2016-03-15 13:10:16</td>\n",
       "      <td>so I could use your help with that. \"</td>\n",
       "      <td>we can rely on the env being active and use `...</td>\n",
       "      <td>students='students_course2')</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>\"Fixed in jupyter-client 4.1.1</td>\n",
       "      <td>giving us a place to store metadata that you ...</td>\n",
       "      <td>2015-04-14 17:12:32</td>\n",
       "      <td>\"cc @fperez</td>\n",
       "      <td>and I think we list directories in is_hidden ...</td>\n",
       "      <td>2015-10-27 21:54:08</td>\n",
       "      <td>we’re happy i think!\"</td>\n",
       "      <td>it turns out we can address this from the cli...</td>\n",
       "      <td>2017-02-01 14:33:43</td>\n",
       "      <td>\"Closing as all jupyterlab work is now happeni...</td>\n",
       "      <td>...</td>\n",
       "      <td>are those broken</td>\n",
       "      <td>2015-10-09 17:31:20</td>\n",
       "      <td>and it appears to be working as intended. Ret...</td>\n",
       "      <td>so maybe they didn't run 😮. I did receive a ...</td>\n",
       "      <td>thanks so much folks! We are indeed getting b...</td>\n",
       "      <td>security-wise.\"</td>\n",
       "      <td>\"I reran the experiment from https://github.co...</td>\n",
       "      <td>since they are only npm packages but we need ...</td>\n",
       "      <td>which required a few small bugfixes not relat...</td>\n",
       "      <td>host='copano.tamu.edu:8000'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-10-08 11:43:38</td>\n",
       "      <td>I think I'd hold off on storing the state in ...</td>\n",
       "      <td>2016-11-17 14:29:19</td>\n",
       "      <td>2016-09-23 02:09:45</td>\n",
       "      <td>since it communicates actual information (we ...</td>\n",
       "      <td>\"&gt; I like the no border too</td>\n",
       "      <td>it may well be hard.\"</td>\n",
       "      <td>seems to prevent the `OPTIONS` preflight alto...</td>\n",
       "      <td>It's been a long time since I've been able to ...</td>\n",
       "      <td>2016-08-17 21:36:11</td>\n",
       "      <td>...</td>\n",
       "      <td>2016-04-19 20:02:23</td>\n",
       "      <td>2015-12-13 13:01:53</td>\n",
       "      <td>IIRC.\"</td>\n",
       "      <td>I have too much in my pipeline already.\"</td>\n",
       "      <td>2015-12-14 22:21:25</td>\n",
       "      <td>ctrl on windows/linux. Meta is Alt/Option (II...</td>\n",
       "      <td>2016-03-15 15:10:50</td>\n",
       "      <td>I'm ready to publish 5.0.0 as soon as the blo...</td>\n",
       "      <td>but that can be all in docs.\"</td>\n",
       "      <td>in part</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2015-10-08 10:38:07</td>\n",
       "      <td>and jupyter repo</td>\n",
       "      <td>\"@fperez this is already an opened issue.</td>\n",
       "      <td>\"Still down.</td>\n",
       "      <td>and each system maps that to a kernel name. T...</td>\n",
       "      <td>which has boder.</td>\n",
       "      <td>but with so much complex software interacting</td>\n",
       "      <td>2015-10-05 21:25:35</td>\n",
       "      <td>we can reopen it if people can reproduce it.\"</td>\n",
       "      <td>\"that looks great!</td>\n",
       "      <td>...</td>\n",
       "      <td>\"I am running off master from about 3 weeks ago.</td>\n",
       "      <td>seems that this is already a bit better: http...</td>\n",
       "      <td>and +1 to collapsing $HOME to ~.\"</td>\n",
       "      <td>you do make a really good point about tables ...</td>\n",
       "      <td>I really appreciate it :)</td>\n",
       "      <td>awaiting 5.0 release.\"</td>\n",
       "      <td>\"New PR : https://github.com/ellisonbg/noteboo...</td>\n",
       "      <td>if it is just for the dev version (but not me...</td>\n",
       "      <td>markup).\"</td>\n",
       "      <td>Action better than Action</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2015-08-26 08:25:04</td>\n",
       "      <td>or a package co-published from the existing n...</td>\n",
       "      <td>2016-10-20 21:36:22</td>\n",
       "      <td>2016-09-23 02:07:00</td>\n",
       "      <td>we don't have any obvious way to communicate ...</td>\n",
       "      <td>Though there is also the \"\"edit-mode\"\" green</td>\n",
       "      <td>so 404 is the right thing to do. However</td>\n",
       "      <td>which is current stable and doesn't have the ...</td>\n",
       "      <td>2017-02-02 17:27:06</td>\n",
       "      <td>2016-02-10 21:46:03</td>\n",
       "      <td>...</td>\n",
       "      <td>\"The problem seems to have resolved itself -- ...</td>\n",
       "      <td>2017-01-31 22:14:02</td>\n",
       "      <td>I'm not sure what you mean about the 'full sy...</td>\n",
       "      <td>do make sure to update travis and `jstest.py`...</td>\n",
       "      <td>I have to work on some other stuff the rest o...</td>\n",
       "      <td>I'm also fine with reopening and merging #436...</td>\n",
       "      <td>\":tada: :cake: Welcome back to cali @minrk (an...</td>\n",
       "      <td>clicking on edit or view only open one.... So...</td>\n",
       "      <td>not a big deal.\"</td>\n",
       "      <td>can be an object\"\"</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>\"Though anyone can take over for an easy bug fix.</td>\n",
       "      <td>and an nbconvert preprocessor. \"</td>\n",
       "      <td>and the build went out. Perhaps it was an old...</td>\n",
       "      <td>2015-09-09 18:24:26</td>\n",
       "      <td>using PATH to override/wrap commands would no...</td>\n",
       "      <td>2015-10-27 20:54:22</td>\n",
       "      <td>so it doesn't seem to have to do with the con...</td>\n",
       "      <td>you do have the notebook and it is 4.0.5</td>\n",
       "      <td>\"Closed for now</td>\n",
       "      <td>\"Looking good! Back to black term icon?</td>\n",
       "      <td>...</td>\n",
       "      <td>2016-04-24 01:37:06</td>\n",
       "      <td>we can make it an error when running `lab` or...</td>\n",
       "      <td>that would help a lot of things. Selecting a ...</td>\n",
       "      <td>rather than the global one.\"</td>\n",
       "      <td>2015-11-26 00:37:38</td>\n",
       "      <td>feel fre to ask. \"</td>\n",
       "      <td>2016-03-26 14:04:02</td>\n",
       "      <td>why would jupyter inside my actual conda env ...</td>\n",
       "      <td>which I'm working on now.\"</td>\n",
       "      <td>it's both kernelside (in your case IPython)  ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2015-08-26 08:25:25</td>\n",
       "      <td>the extension provides saving the folded stat...</td>\n",
       "      <td>\"The notebook server containers needed to be c...</td>\n",
       "      <td>\"I'll see if I can find what's up.</td>\n",
       "      <td>and that shouldn't give any trouble. I would ...</td>\n",
       "      <td>\"I like the no border too</td>\n",
       "      <td>the notebook page should have 404'd itself if...</td>\n",
       "      <td>since it shows that you don't have the notebo...</td>\n",
       "      <td>2015-12-24 19:41:22</td>\n",
       "      <td>2016-04-20 04:01:57</td>\n",
       "      <td>...</td>\n",
       "      <td>2016-04-19 19:59:48</td>\n",
       "      <td>let's leave the --no-mathjax for one more rel...</td>\n",
       "      <td>not application-specific.\"</td>\n",
       "      <td>though: in general</td>\n",
       "      <td>2015-12-14 20:31:05</td>\n",
       "      <td>this suggested (to me) that all the functions...</td>\n",
       "      <td>2016-03-10 15:45:59</td>\n",
       "      <td>though the linux build on travis seems to ins...</td>\n",
       "      <td>but I tried disabling them: it does not chang...</td>\n",
       "      <td>but really why not just jupyter-input-area</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>\"Thanks min!</td>\n",
       "      <td>nothing to be paranoid about.\"</td>\n",
       "      <td>2016-10-21 14:13:50</td>\n",
       "      <td>2016-09-23 02:08:44</td>\n",
       "      <td>a bundle which includes the notebook along wi...</td>\n",
       "      <td>2015-10-27 21:59:44</td>\n",
       "      <td>flying-sheep</td>\n",
       "      <td>\"I'm not sure how it's working when you use `-...</td>\n",
       "      <td>900</td>\n",
       "      <td>2016-02-12 18:55:31</td>\n",
       "      <td>...</td>\n",
       "      <td>\"The URL should have \"\"/nbgrader/dlsun\"\" as pa...</td>\n",
       "      <td>I think that fixes it then. Please let me kno...</td>\n",
       "      <td>rebuild it and see the changes take effect.\"</td>\n",
       "      <td>our javascript tests can be run against an *i...</td>\n",
       "      <td>\"@fperez: Good point and something I've been m...</td>\n",
       "      <td>like what I did on https://gitlab.com/gitlab-...</td>\n",
       "      <td>\"Question:</td>\n",
       "      <td>that requires too much implicit knowledge fro...</td>\n",
       "      <td>only master at the moment.\"</td>\n",
       "      <td>uri='/user/test_pgs_spring2017/assignments/fe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2015-10-09 15:02:11</td>\n",
       "      <td>yet the underlying data/contract may have a m...</td>\n",
       "      <td>but I wanted to check whether there was any u...</td>\n",
       "      <td>\"More like down again.</td>\n",
       "      <td>which is meant to be relevant across machines...</td>\n",
       "      <td>I think we're talking past each other</td>\n",
       "      <td>and all requests are logged by the server wit...</td>\n",
       "      <td>`pip` is `pip2`</td>\n",
       "      <td>2016-12-08 15:11:06</td>\n",
       "      <td>\"`padding: 4px;`</td>\n",
       "      <td>...</td>\n",
       "      <td>that's ok; I'm pretty confident this fixes it.</td>\n",
       "      <td>2015-10-12 11:43:04</td>\n",
       "      <td>which seems to work correctly. I can change t...</td>\n",
       "      <td>npm will add `node_modules/.bin` to the path)...</td>\n",
       "      <td>2015-11-21 12:33:21</td>\n",
       "      <td>I'm pretty sure that's way too much to be hap...</td>\n",
       "      <td>\"High level question:</td>\n",
       "      <td>so I have to do this often. But the same appl...</td>\n",
       "      <td>but further reviews and ideas are always welc...</td>\n",
       "      <td>I can adjust my \"\"quick access\"\" icons bar in...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2015-10-09 12:23:42</td>\n",
       "      <td>then we would have to bump the major version ...</td>\n",
       "      <td>and it'd be great to get this resolved.</td>\n",
       "      <td>2015-09-09 18:23:57</td>\n",
       "      <td>the one you want is `ClearSolutions.code_stub...</td>\n",
       "      <td>because that division works for distinguishin...</td>\n",
       "      <td>apache)? Can you run the notebook server with...</td>\n",
       "      <td>\"I just realized: if you are using that Docker...</td>\n",
       "      <td>:+1: to the border radius IMHO.</td>\n",
       "      <td>2016-02-11 19:06:15</td>\n",
       "      <td>...</td>\n",
       "      <td>2016-04-19 20:27:11</td>\n",
       "      <td>I missunderstood the `one`.</td>\n",
       "      <td>in the absence of a separate mechanism to dea...</td>\n",
       "      <td>if we run an npm script</td>\n",
       "      <td>\"like that ?</td>\n",
       "      <td>let me know. Thanks.\"</td>\n",
       "      <td>2016-02-25 12:23:09</td>\n",
       "      <td>so if you can take over my PR that would be r...</td>\n",
       "      <td>I'm unsure. I'd lean towards authenticated to...</td>\n",
       "      <td>i' : 'ipython.interrupt-kernel'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2016-08-19 09:35:03</td>\n",
       "      <td>in Colaboratory</td>\n",
       "      <td>2017-01-21 12:32:35</td>\n",
       "      <td>\"Ruh roh! I'm not able to reach into this at t...</td>\n",
       "      <td>use the skeleton home directory to create the...</td>\n",
       "      <td>\"I like this. Here's another thought: what if ...</td>\n",
       "      <td>2016-12-05 09:30:37</td>\n",
       "      <td>2015-10-06 09:47:19</td>\n",
       "      <td>These are great. We would love to use these in...</td>\n",
       "      <td>\"@cameronoelsen I'd like to have a hangout abo...</td>\n",
       "      <td>...</td>\n",
       "      <td>\"#489 should fix the issue. If you can test it...</td>\n",
       "      <td>2015-09-16 18:15:11</td>\n",
       "      <td>people are using kernelspecs to represent env...</td>\n",
       "      <td>that works for me.\"</td>\n",
       "      <td>2015-11-25 05:20:37</td>\n",
       "      <td>let me know if the welcome message is alright...</td>\n",
       "      <td>\"&gt; If the source is a dir a dir symlink is mad...</td>\n",
       "      <td>but please chime in if anything looks suspici...</td>\n",
       "      <td>so I'll let people who hopefully do have a lo...</td>\n",
       "      <td>we would also have to involve the IRB at Cal ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1692</td>\n",
       "      <td>we use metadata on `stream` outputs</td>\n",
       "      <td>\"Hi again! Sorry to bug you about this</td>\n",
       "      <td>are you willing to check this out?</td>\n",
       "      <td>it ought to be plural and a list/array</td>\n",
       "      <td>2015-10-27 16:59:15</td>\n",
       "      <td>\"Something's weird if those logs are accurate</td>\n",
       "      <td>and the notebook is only installed with pip3....</td>\n",
       "      <td>2016-12-20 09:29:25</td>\n",
       "      <td>2016-02-10 18:28:33</td>\n",
       "      <td>...</td>\n",
       "      <td>2017-02-20 20:21:15</td>\n",
       "      <td>thanks. I'll look around.</td>\n",
       "      <td>and the names are therefore not globally mean...</td>\n",
       "      <td>as far as I can tell. That's the only reason ...</td>\n",
       "      <td>\"Brian's C)</td>\n",
       "      <td>so I assume he monitors as well.\"</td>\n",
       "      <td>2016-03-14 17:50:23</td>\n",
       "      <td>I did twice</td>\n",
       "      <td>we should allow the Authorization header to b...</td>\n",
       "      <td>config</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>\"@captainsafia it might also be worth testing ...</td>\n",
       "      <td>in order to do various forms of output contro...</td>\n",
       "      <td>2015-06-24 22:41:18</td>\n",
       "      <td>which looks like it rebooted the server. I cl...</td>\n",
       "      <td>please try to avoid committing whitespace cha...</td>\n",
       "      <td>it looks ugly with multiple consecutive cells...</td>\n",
       "      <td>because it means whatever's getting a 404 is ...</td>\n",
       "      <td>doesn't cause this issue.</td>\n",
       "      <td>\"@faricacarroll I think that the square variat...</td>\n",
       "      <td>\"@cameronoelsen @ellisonbg fyi: the inviso lin...</td>\n",
       "      <td>...</td>\n",
       "      <td>wow.</td>\n",
       "      <td>2016-06-28 14:31:52</td>\n",
       "      <td>and push kernelspecs back to mostly represent...</td>\n",
       "      <td>meaning that as soon as an output is available</td>\n",
       "      <td>2015-11-24 18:40:29</td>\n",
       "      <td>and re-print the message in the JS console if...</td>\n",
       "      <td>2016-03-18 16:21:27</td>\n",
       "      <td>and nuked my main.min.js files to be sure. it...</td>\n",
       "      <td>which is what this PR does.\"</td>\n",
       "      <td>I'm going to close this</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2015-11-30 23:58:56</td>\n",
       "      <td>so we do some gyrations to always ensure this...</td>\n",
       "      <td>but I can't really design anything until I kn...</td>\n",
       "      <td>and it looks to be back up now.</td>\n",
       "      <td>or don't add them to the commit. The few here...</td>\n",
       "      <td>if we do the full gray border</td>\n",
       "      <td>2016-11-29 17:31:11</td>\n",
       "      <td>2015-10-05 18:12:17</td>\n",
       "      <td>not sure how I like it without the border rad...</td>\n",
       "      <td>\"I think this works really well.</td>\n",
       "      <td>...</td>\n",
       "      <td>\"Oof</td>\n",
       "      <td>thanks for the tips.</td>\n",
       "      <td>and keep thinking about it for the future. I ...</td>\n",
       "      <td>this raises **huge** security concerns</td>\n",
       "      <td>\"&gt; I am confused about your statement that mul...</td>\n",
       "      <td>but let's see what we can do here...\"</td>\n",
       "      <td>\"&gt;  I opened ellisonbg#22 to fix the \"\"no dots...</td>\n",
       "      <td>so you can run `JUPYTER_NO_CONFIG=1 jupyter n...</td>\n",
       "      <td>rather than checking the PATH again seems lik...</td>\n",
       "      <td>\"\"my_serverextension\"\")</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2016-09-12 17:07:38</td>\n",
       "      <td>2017-02-28 17:13:50</td>\n",
       "      <td>I have designed the top of the front page and...</td>\n",
       "      <td>2016-09-25 13:40:58</td>\n",
       "      <td>maybe they should be two cell types. That wou...</td>\n",
       "      <td>what styling would we use?  The left border a...</td>\n",
       "      <td>\"I don't doubt it</td>\n",
       "      <td>\"Aha! Using the `--no-deps` option when pip in...</td>\n",
       "      <td>2016-12-01 19:36:32</td>\n",
       "      <td>2015-12-07 23:00:23</td>\n",
       "      <td>...</td>\n",
       "      <td>2016-04-30 16:56:02</td>\n",
       "      <td>2017-01-26 13:20:29</td>\n",
       "      <td>I think we should do this for 5.0</td>\n",
       "      <td>dynamically imports it using SystemJS</td>\n",
       "      <td>\"&gt; still quite a bit of work to clean up the i...</td>\n",
       "      <td>if I understand it correctly</td>\n",
       "      <td>\"New PR up: https://github.com/ellisonbg/noteb...</td>\n",
       "      <td>we added an environment variable in jupyter_core</td>\n",
       "      <td>in which case interpreting 'python' as itself</td>\n",
       "      <td>but it's white characters over white background</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>\"@Carreau @minrk Can you reproduce?</td>\n",
       "      <td>Yeah what I want us to enforce going forward i...</td>\n",
       "      <td>About</td>\n",
       "      <td>\"There was some maintenance on IAD</td>\n",
       "      <td>if there are two different behaviours for mar...</td>\n",
       "      <td>\"Question</td>\n",
       "      <td>so I can chase it down. The 404 suggests that...</td>\n",
       "      <td>2015-10-07 20:58:24</td>\n",
       "      <td>\"@faricacarroll For readability</td>\n",
       "      <td>2016-04-25 18:34:06</td>\n",
       "      <td>...</td>\n",
       "      <td>\"I'm running Ubuntu 14.04</td>\n",
       "      <td>2016-08-11 19:37:30</td>\n",
       "      <td>it may make it harder to exploit flaws in oth...</td>\n",
       "      <td>and renders it using using that package (whic...</td>\n",
       "      <td>2015-11-25 12:33:45</td>\n",
       "      <td>doesn't require the double slash: https://too...</td>\n",
       "      <td>2016-03-10 12:50:30</td>\n",
       "      <td>so if you want to remove the shadow</td>\n",
       "      <td>only ipyparallel should actually be affected</td>\n",
       "      <td>'%s:/home/instructor/user-submission/' % (sub...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>\"I guess you refer to using a Notebook server ...</td>\n",
       "      <td>2017-02-28 15:58:08</td>\n",
       "      <td>Citing etc.). I have included below a mockup ...</td>\n",
       "      <td>thanks Min. I wasn't even sure I could reach ...</td>\n",
       "      <td>because clicking on it opens an editor. I don...</td>\n",
       "      <td>2015-10-27 17:37:25</td>\n",
       "      <td>I'm just unclear on what exactly was going wrong</td>\n",
       "      <td>trying to run thebe. I set up IPython using a...</td>\n",
       "      <td>wondering what the icon would look like witho...</td>\n",
       "      <td>\"Also forgot to mention that the header (aka t...</td>\n",
       "      <td>...</td>\n",
       "      <td>\"Unless your system is set to the same time zo...</td>\n",
       "      <td>that's because this logic is faulty as well:</td>\n",
       "      <td>as even if it's a poor security measure by it...</td>\n",
       "      <td>the renderer fetches the required package for...</td>\n",
       "      <td>\"&gt; to do that right we would need to change the</td>\n",
       "      <td>and add options to launch a browser and to co...</td>\n",
       "      <td>\"From today's video meeting discussion:</td>\n",
       "      <td>go for it.\"</td>\n",
       "      <td>so I'm not too concerned.\"</td>\n",
       "      <td>data)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2016-09-20 11:12:55</td>\n",
       "      <td>\"We're going to start using more metadata fiel...</td>\n",
       "      <td>Announcements</td>\n",
       "      <td>2016-09-25 14:57:03</td>\n",
       "      <td>and avoid popup blockers altogether. I think ...</td>\n",
       "      <td>much clearer when you're in command mode vs e...</td>\n",
       "      <td>but I don't know how that would happen.\"</td>\n",
       "      <td>\"I'm getting this using both a python2 and pyt...</td>\n",
       "      <td>try changing the \"\"Powered by\"\" on the last v...</td>\n",
       "      <td>2016-01-29 23:15:38</td>\n",
       "      <td>...</td>\n",
       "      <td>2016-04-30 17:04:39</td>\n",
       "      <td>2016-05-06 22:45:28</td>\n",
       "      <td>but I'd consider that a fallback if we can't ...</td>\n",
       "      <td>but it demonstrates how renderers could be mo...</td>\n",
       "      <td>2015-11-22 15:33:54</td>\n",
       "      <td>but maybe that's OK for a tool with much more...</td>\n",
       "      <td>2016-03-15 17:37:58</td>\n",
       "      <td>but same things</td>\n",
       "      <td>sending a JSON body for requests that take no...</td>\n",
       "      <td>requests</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2016-04-10 16:07:47</td>\n",
       "      <td>albeit on a namespace (nteract). For small fi...</td>\n",
       "      <td>Cite and other important information about Ju...</td>\n",
       "      <td>thought the same</td>\n",
       "      <td>which can be displayed neatly in the frontend...</td>\n",
       "      <td>the more I like it. I think this will have th...</td>\n",
       "      <td>2016-12-08 17:22:38</td>\n",
       "      <td>\"@minrk thanks for pointing out the obvious to me</td>\n",
       "      <td>2016-11-30 00:59:31</td>\n",
       "      <td>\"Do you think that flyout items could/should s...</td>\n",
       "      <td>...</td>\n",
       "      <td>2016-04-30 13:08:09</td>\n",
       "      <td>so that will be really hard to fix.</td>\n",
       "      <td>it's annoying</td>\n",
       "      <td>a user would not be required to install an ex...</td>\n",
       "      <td>2015-11-25 06:05:42</td>\n",
       "      <td>we'll see if we can improve the instruction. ...</td>\n",
       "      <td>\"&gt; do you remember why you used verbose=1 in i...</td>\n",
       "      <td>don't push the wheels now. \"</td>\n",
       "      <td>that would be redundant</td>\n",
       "      <td>c.Class.dict_trait = {}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>\"Thanks @SylvainCorlay</td>\n",
       "      <td>which is annoying for version control.\"</td>\n",
       "      <td>it is going to follow the orange that the Jup...</td>\n",
       "      <td>and got the habit of typing `less`. renamed.</td>\n",
       "      <td>a better approach is to produce an HTML table...</td>\n",
       "      <td>2015-10-27 19:09:08</td>\n",
       "      <td>\"Go for it</td>\n",
       "      <td>2015-10-08 16:50:50</td>\n",
       "      <td>test it out and we can see!\"</td>\n",
       "      <td>2016-01-28 02:33:14</td>\n",
       "      <td>...</td>\n",
       "      <td>\"Running `py.test` directly on `nbgrader/tests...</td>\n",
       "      <td>2016-04-05 17:45:28</td>\n",
       "      <td>and if it doesn't</td>\n",
       "      <td>have renderers say they can handle specific m...</td>\n",
       "      <td>\"Brian's D)</td>\n",
       "      <td>so the instruction are often lacking. \"</td>\n",
       "      <td>2016-03-01 09:10:49</td>\n",
       "      <td>I don't get it in dev</td>\n",
       "      <td>and looking around at code</td>\n",
       "      <td>`.IOLoop`</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2016-04-10 14:34:23</td>\n",
       "      <td>but it can be quite changeable</td>\n",
       "      <td>I have attached a hackpad to collaborate on b...</td>\n",
       "      <td>2015-04-14 22:32:42</td>\n",
       "      <td>but they will all have the same permissions (...</td>\n",
       "      <td>\"The more I play around with the version that ...</td>\n",
       "      <td>especially if you can figure out where the er...</td>\n",
       "      <td>sometimes I need that :)</td>\n",
       "      <td>\"@faricacarroll I really like the version you ...</td>\n",
       "      <td>\"Looks good. Selectively showing the search bo...</td>\n",
       "      <td>...</td>\n",
       "      <td>2016-04-30 17:31:19</td>\n",
       "      <td>let's see if people complain.</td>\n",
       "      <td>~no-one will use it. The notebook tour (which...</td>\n",
       "      <td>but it has smelled a bit off to me too to iso...</td>\n",
       "      <td>\"&lt;img width=\"\"188\"\" alt=\"\"screen shot 2015-11-...</td>\n",
       "      <td>my bugs aren't \"\"special\"\"</td>\n",
       "      <td>2016-02-29 21:31:31</td>\n",
       "      <td>but I get it if I install the PyPI wheel. \"</td>\n",
       "      <td>but semantically</td>\n",
       "      <td>reboot and retry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1328</td>\n",
       "      <td>\"Small metadata is less annoying</td>\n",
       "      <td>\"@Carreau @jdfreder @ellisonbg @rgbkrk I am st...</td>\n",
       "      <td>\"Yes it make sens</td>\n",
       "      <td>the exchange service will continue to store f...</td>\n",
       "      <td>\"&gt; Don't despair @Carreau!</td>\n",
       "      <td>2016-12-05 12:20:36</td>\n",
       "      <td>so installing notebook from master should do it.</td>\n",
       "      <td>it may look _very_ thin at the small size tha...</td>\n",
       "      <td>\"Let's touch base later this week (Wed or late...</td>\n",
       "      <td>...</td>\n",
       "      <td>\"File location:</td>\n",
       "      <td>merged</td>\n",
       "      <td>to avoid annoying people) was broken for quit...</td>\n",
       "      <td>but then let the renderers change the state f...</td>\n",
       "      <td>2015-11-06 06:21:52</td>\n",
       "      <td>sorry again if it seemed that way.\"</td>\n",
       "      <td>\"DO not seem to work:</td>\n",
       "      <td>proptypes) were moved to bower in hopes of re...</td>\n",
       "      <td>it's nothing like the other things that usual...</td>\n",
       "      <td>'%s/gradebook.db:/home/instructor/gradebook.d...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>\"You can see related discussion like https://g...</td>\n",
       "      <td>2017-02-28 16:40:22</td>\n",
       "      <td>code example. Python.org is terrible at that.</td>\n",
       "      <td>I just copied and pasted an example</td>\n",
       "      <td>starting in a not-yet-mounted working dir) is...</td>\n",
       "      <td>2015-10-27 22:02:32</td>\n",
       "      <td>I think running with `JUPYTER_CONFIG_DIR=/tmp`...</td>\n",
       "      <td>\"@ngoldbaum this is fixed in master</td>\n",
       "      <td>try posting the variation with less of a bord...</td>\n",
       "      <td>2016-05-08 23:29:02</td>\n",
       "      <td>...</td>\n",
       "      <td>or on your local computer?</td>\n",
       "      <td>2016-04-01 12:56:51</td>\n",
       "      <td>the current setup is almost perfect: if I del...</td>\n",
       "      <td>but it still feels a bit off.\"</td>\n",
       "      <td>\"The other thing to keep in mind is that the b...</td>\n",
       "      <td>then use that to load the session in a browse...</td>\n",
       "      <td>2016-03-11 05:42:22</td>\n",
       "      <td>preact-compat</td>\n",
       "      <td>which are about editing the document.\"</td>\n",
       "      <td>\"\"{connection_file}\"\"]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2015-12-08 15:01:52</td>\n",
       "      <td>\"I just meant the data itself is changeable</td>\n",
       "      <td>2015-06-24 08:47:45</td>\n",
       "      <td>\"&gt; When I run gulp css</td>\n",
       "      <td>which will work on Windows as well. It has no...</td>\n",
       "      <td>thanks for the prototypes.</td>\n",
       "      <td>how can i do this without tracking down and mo...</td>\n",
       "      <td>2015-10-08 14:20:35</td>\n",
       "      <td>2016-12-08 17:11:17</td>\n",
       "      <td>\"And here is the first run on the notebook con...</td>\n",
       "      <td>...</td>\n",
       "      <td>\"1. Are you doing this in the demo</td>\n",
       "      <td>i found solution</td>\n",
       "      <td>I get a error message to chose a kernel and t...</td>\n",
       "      <td>though. A properly configured IFrame should p...</td>\n",
       "      <td>2015-11-23 18:58:25</td>\n",
       "      <td>and it was really satisfactory to be able to ...</td>\n",
       "      <td>\" :+1:</td>\n",
       "      <td>lab) (both the extension and the config). I t...</td>\n",
       "      <td>the error message is either `Error 503 No hea...</td>\n",
       "      <td>p2cwrite</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2015-12-07 22:42:29</td>\n",
       "      <td>rather than the format. I don't want things l...</td>\n",
       "      <td>and can be scary to the novice user. Though i...</td>\n",
       "      <td>2015-04-20 19:16:46</td>\n",
       "      <td>we can use `shutil.which()`</td>\n",
       "      <td>2015-10-27 22:02:06</td>\n",
       "      <td>2016-12-05 10:12:39</td>\n",
       "      <td>I was installing the widgets with both `pip2`...</td>\n",
       "      <td>when printed to PDF</td>\n",
       "      <td>2015-12-10 00:22:47</td>\n",
       "      <td>...</td>\n",
       "      <td>2017-03-23 17:12:53</td>\n",
       "      <td>but still think that it's some problem with n...</td>\n",
       "      <td>please don't kill my local workflow: I use on...</td>\n",
       "      <td>2017-02-09 21:14:33</td>\n",
       "      <td>2015-11-23 18:55:09</td>\n",
       "      <td>if nothing else</td>\n",
       "      <td>2016-03-17 03:48:17</td>\n",
       "      <td>but in the context of using a Dockerfile to i...</td>\n",
       "      <td>on more or less random order. Also after seve...</td>\n",
       "      <td>but early enough</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>791</td>\n",
       "      <td>any more than I want the last position of my ...</td>\n",
       "      <td>too minimal</td>\n",
       "      <td>it doesn't build the sourcemaps. Do you know ...</td>\n",
       "      <td>i.e. on Python 3</td>\n",
       "      <td>\"Don't despair @Carreau!</td>\n",
       "      <td>2017-01-18 19:18:54</td>\n",
       "      <td>2015-10-06 14:37:00</td>\n",
       "      <td>is ~ 45 pages long!  So it's certainly not co...</td>\n",
       "      <td>2015-12-02 22:38:12</td>\n",
       "      <td>...</td>\n",
       "      <td>\"I think it's reasonable to treat IOPub timeou...</td>\n",
       "      <td>maybe as part of a separate kernel or iPython...</td>\n",
       "      <td>because nbconvert does't see the environment ...</td>\n",
       "      <td>Isn't this a private package?</td>\n",
       "      <td>\"Lots of thoughts...</td>\n",
       "      <td>so we understand what's going on.\"</td>\n",
       "      <td>\"&gt; getting the various debug flags (--log-leve...</td>\n",
       "      <td>could you advise how this might be fixed</td>\n",
       "      <td>it again gives an error if I add `?flush_cach...</td>\n",
       "      <td>like Gecko) Chrome/43.0.2357.132 Safari/537.36\"\"</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>\"I think you can submit a PR.</td>\n",
       "      <td>2017-02-28 18:02:08</td>\n",
       "      <td>Julia lang is imho</td>\n",
       "      <td>2015-04-20 19:04:30</td>\n",
       "      <td>we don't have a place for the mimetypes of no...</td>\n",
       "      <td>2015-10-27 17:57:10</td>\n",
       "      <td>thanks for coordinating</td>\n",
       "      <td>\"Hmm ok</td>\n",
       "      <td>and unless we can replicate it easily</td>\n",
       "      <td>\"@cameronoelsen thanks!</td>\n",
       "      <td>...</td>\n",
       "      <td>2015-11-30 20:54:32</td>\n",
       "      <td>I understand this may not fit in development ...</td>\n",
       "      <td>but right now I almost never use nbconvert to...</td>\n",
       "      <td>2017-02-11 01:16:24</td>\n",
       "      <td>\"&lt;img width=\"\"984\"\" alt=\"\"screen shot 2015-11-...</td>\n",
       "      <td>but from the browser's point of view</td>\n",
       "      <td>2016-03-07 18:05:10</td>\n",
       "      <td>or does it require that the package.json be e...</td>\n",
       "      <td>there are still spuriously failing tests</td>\n",
       "      <td>not a standalone example of extension that works</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2015-09-09 20:58:56</td>\n",
       "      <td>2017-03-03 12:47:26</td>\n",
       "      <td>\"Well I think we need both kind of design</td>\n",
       "      <td>\"When I run `gulp css`</td>\n",
       "      <td>just the outputs/interactive pieces used in o...</td>\n",
       "      <td>\"Nice! I hadn't thought about the difference b...</td>\n",
       "      <td>2017-01-02 12:17:52</td>\n",
       "      <td>2015-10-05 17:38:11</td>\n",
       "      <td>I'm 100% comfortable retargeting this to 4.2 ...</td>\n",
       "      <td>2016-05-11 21:24:40</td>\n",
       "      <td>...</td>\n",
       "      <td>2016-04-30 17:35:37</td>\n",
       "      <td>2016-03-01 13:01:32</td>\n",
       "      <td>but our wheels don't install kernelspecs. I h...</td>\n",
       "      <td>@minrk Hmmm. So users who have installed the n...</td>\n",
       "      <td>2015-11-24 09:36:38</td>\n",
       "      <td>those are different domains. We [can't set a ...</td>\n",
       "      <td>\"re:baseball:ing...</td>\n",
       "      <td>so we can't select with e.g. `[data-path]`. I...</td>\n",
       "      <td>at least! 😄 \"</td>\n",
       "      <td>0' : 'ipython.restart-kernel'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69237</th>\n",
       "      <td>we **should** fallback on `plain/text` but do...</td>\n",
       "      <td>@minrk Hmmm. So users who have installed the n...</td>\n",
       "      <td>at least partially.</td>\n",
       "      <td>the first few cells are ignored</td>\n",
       "      <td>there appears to be no way to install the Jav...</td>\n",
       "      <td>but my only comment is</td>\n",
       "      <td>and I actually found the full green highlight...</td>\n",
       "      <td>\"I'm also less fond of the notebook queue as w...</td>\n",
       "      <td>then https://github.com/michaelpacer/hiding_t...</td>\n",
       "      <td>or change to doing the selection another way.\"</td>\n",
       "      <td>...</td>\n",
       "      <td>after which I started a new kernel session us...</td>\n",
       "      <td>@jhamrick ready for review :)</td>\n",
       "      <td>other than patches to pip itself.</td>\n",
       "      <td>this looks fine to me. @minrk</td>\n",
       "      <td>2016-03-17 03:48:17</td>\n",
       "      <td>2015-09-09 20:58:56</td>\n",
       "      <td>\"I think that it is for both. I opened another...</td>\n",
       "      <td>2016-04-30 18:14:03</td>\n",
       "      <td>2017-03-23 22:34:17</td>\n",
       "      <td>\"I think you can submit a PR.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69238</th>\n",
       "      <td>February 9</td>\n",
       "      <td>2017-02-11 01:16:24</td>\n",
       "      <td>2015-10-08 14:20:35</td>\n",
       "      <td>2016-03-17 14:56:05</td>\n",
       "      <td>\"If I'm understanding correctly</td>\n",
       "      <td>I would like to add</td>\n",
       "      <td>with lots of back-and-forth between command a...</td>\n",
       "      <td>as you point out</td>\n",
       "      <td>\"@dpsanders do you mean in the notebook or in ...</td>\n",
       "      <td>or does it require that the package.json be e...</td>\n",
       "      <td>...</td>\n",
       "      <td>0' : 'ipython.restart-kernel'</td>\n",
       "      <td>2017-01-07 08:05:35</td>\n",
       "      <td>\"I'm pretty sure this is pip reporting the ver...</td>\n",
       "      <td>\"Thanks @sethrj</td>\n",
       "      <td>\"&gt; getting the various debug flags (--log-leve...</td>\n",
       "      <td>2015-09-10 23:26:53</td>\n",
       "      <td>2015-08-26 08:25:04</td>\n",
       "      <td>\"Yeah this issue is rather weird. Travis == Ub...</td>\n",
       "      <td>\"@jhamrick This is on my local computer. The c...</td>\n",
       "      <td>410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69239</th>\n",
       "      <td>2016 4:01 PM</td>\n",
       "      <td>Isn't this a private package?</td>\n",
       "      <td>\"@ngoldbaum this is fixed in master</td>\n",
       "      <td>\"@blink1073</td>\n",
       "      <td>2016-01-06 15:54:55</td>\n",
       "      <td>\"From the experience with my own little truste...</td>\n",
       "      <td>arbitrary notebooks are _not safe_ to host on</td>\n",
       "      <td>is that the cell.kernel can be null</td>\n",
       "      <td>2016-12-17 00:35:24</td>\n",
       "      <td>could you advise how this might be fixed</td>\n",
       "      <td>...</td>\n",
       "      <td>not a standalone example of extension that works</td>\n",
       "      <td>\"Got back from holiday yesterday</td>\n",
       "      <td>2016-07-06 11:53:35</td>\n",
       "      <td>2016-06-13 10:15:06</td>\n",
       "      <td>2016-03-11 05:42:22</td>\n",
       "      <td>\"I think you can submit a PR.</td>\n",
       "      <td>\"Though anyone can take over for an easy bug fix.</td>\n",
       "      <td>so I would expect running the same set of com...</td>\n",
       "      <td>I ran them from the notebook terminal. The ou...</td>\n",
       "      <td>2015-09-09 20:58:56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69240</th>\n",
       "      <td>`keymap`</td>\n",
       "      <td>2017-02-09 21:14:33</td>\n",
       "      <td>so installing notebook from master should do it.</td>\n",
       "      <td>for example) wasn't executed.</td>\n",
       "      <td>toward ameliorating some of the problems with...</td>\n",
       "      <td>2016-08-01 07:36:12</td>\n",
       "      <td>a message for humans is good.</td>\n",
       "      <td>and I'm not sure when exactly it is going to ...</td>\n",
       "      <td>\"It seems like this would be nice done a cell ...</td>\n",
       "      <td>but in the context of using a Dockerfile to i...</td>\n",
       "      <td>...</td>\n",
       "      <td>like Gecko) Chrome/43.0.2357.132 Safari/537.36\"\"</td>\n",
       "      <td>so I will be able to work on this.\"</td>\n",
       "      <td>2015-10-09 12:23:42</td>\n",
       "      <td>2016-06-12 11:45:06</td>\n",
       "      <td>\" :+1:</td>\n",
       "      <td>\"You can see related discussion like https://g...</td>\n",
       "      <td>2015-08-26 08:25:25</td>\n",
       "      <td>2016-04-30 17:35:37</td>\n",
       "      <td>2016-04-30 17:31:19</td>\n",
       "      <td>791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69241</th>\n",
       "      <td>and `theme` in codemirror is likely still bro...</td>\n",
       "      <td>though. A properly configured IFrame should p...</td>\n",
       "      <td>I was installing the widgets with both `pip2`...</td>\n",
       "      <td>and then often there are huge errors in later...</td>\n",
       "      <td>where atomic installation is important.</td>\n",
       "      <td>that it is useful to have a persistent indica...</td>\n",
       "      <td>no error is more symmetrical with redundant e...</td>\n",
       "      <td>and if it can be set earlier.</td>\n",
       "      <td>not sure though. still learning the system. P...</td>\n",
       "      <td>lab) (both the extension and the config). I t...</td>\n",
       "      <td>...</td>\n",
       "      <td>but early enough</td>\n",
       "      <td>2017-01-12 22:44:07</td>\n",
       "      <td>\"Thanks min!</td>\n",
       "      <td>\"@jasongrout do you mind if I close temporaril...</td>\n",
       "      <td>2016-02-29 21:31:31</td>\n",
       "      <td>2015-12-08 15:01:52</td>\n",
       "      <td>\"Have you tried the 'Running' tab in the dashb...</td>\n",
       "      <td>but would it not be a good idea to leverage `...</td>\n",
       "      <td>\"File location:</td>\n",
       "      <td>\"You can see related discussion like https://g...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69242</th>\n",
       "      <td>list(kwargs.values()))</td>\n",
       "      <td>but it has smelled a bit off to me too to iso...</td>\n",
       "      <td>2015-10-06 14:37:00</td>\n",
       "      <td>and you open a notebook and start executing c...</td>\n",
       "      <td>it makes sense to do c.NotebookApp.server_ext...</td>\n",
       "      <td>\"I definitely think it shouldn't have the trus...</td>\n",
       "      <td>*_kwargs)</td>\n",
       "      <td>2016-03-17 14:48:09</td>\n",
       "      <td>2016-02-11 02:50:31</td>\n",
       "      <td>preact-compat</td>\n",
       "      <td>...</td>\n",
       "      <td>p2cwrite</td>\n",
       "      <td>\"At the moment only an error (with the `strict...</td>\n",
       "      <td>2015-10-09 15:02:11</td>\n",
       "      <td>2015-09-14 00:01:13</td>\n",
       "      <td>\"DO not seem to work:</td>\n",
       "      <td>2015-12-07 22:42:29</td>\n",
       "      <td>2016-03-08 21:35:09</td>\n",
       "      <td>\"Just an idea here</td>\n",
       "      <td>\"Running `py.test` directly on `nbgrader/tests...</td>\n",
       "      <td>2015-12-08 15:01:52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69243</th>\n",
       "      <td>I run</td>\n",
       "      <td>have renderers say they can handle specific m...</td>\n",
       "      <td>\"Hmm ok</td>\n",
       "      <td>That is basically the use-case I'm addressing...</td>\n",
       "      <td>\"&gt; In Python</td>\n",
       "      <td>2016-04-08 20:49:53</td>\n",
       "      <td>y) package</td>\n",
       "      <td>I think that's pretty explicit.</td>\n",
       "      <td>then it's easy to selectively hide cells</td>\n",
       "      <td>proptypes) were moved to bower in hopes of re...</td>\n",
       "      <td>...</td>\n",
       "      <td>\"\"{connection_file}\"\"]</td>\n",
       "      <td>which I'm not a real fan of.\"</td>\n",
       "      <td>2015-12-15 05:01:40</td>\n",
       "      <td>\"Well it looked like comms/widgets were broken...</td>\n",
       "      <td>\"&gt; do you remember why you used verbose=1 in i...</td>\n",
       "      <td>791</td>\n",
       "      <td>\"Thanks for the feedback.</td>\n",
       "      <td>2016-04-30 17:31:19</td>\n",
       "      <td>2016-04-30 13:08:09</td>\n",
       "      <td>2015-12-07 22:42:29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69244</th>\n",
       "      <td>though I have some preference for `jp`</td>\n",
       "      <td>but it still feels a bit off.\"</td>\n",
       "      <td>trying to run thebe. I set up IPython using a...</td>\n",
       "      <td>2016-03-17 15:38:20</td>\n",
       "      <td>2015-12-17 14:12:12</td>\n",
       "      <td>and we know that users seeing a dialog typica...</td>\n",
       "      <td>but it don't had 64bit and python 3 so I swit...</td>\n",
       "      <td>2016-03-17 15:15:07</td>\n",
       "      <td>that should be trivial to implement.</td>\n",
       "      <td>I don't get it in dev</td>\n",
       "      <td>...</td>\n",
       "      <td>'%s/gradebook.db:/home/instructor/gradebook.d...</td>\n",
       "      <td>thanks! One thing that might be useful to inc...</td>\n",
       "      <td>873</td>\n",
       "      <td>so this was my best guess. Might be something...</td>\n",
       "      <td>2016-03-01 09:10:49</td>\n",
       "      <td>1328</td>\n",
       "      <td>2016-03-08 22:17:01</td>\n",
       "      <td>\"File location:</td>\n",
       "      <td>\"Unless your system is set to the same time zo...</td>\n",
       "      <td>2016-04-10 14:34:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69245</th>\n",
       "      <td>since I would like to avoid `py` in abbreviat...</td>\n",
       "      <td>but then let the renderers change the state f...</td>\n",
       "      <td>2015-10-07 20:58:24</td>\n",
       "      <td>making a cell read-only while executing is a ...</td>\n",
       "      <td>and cut against the needs of kernel-dependent...</td>\n",
       "      <td>2016-04-08 20:50:09</td>\n",
       "      <td>if you drag'n'drop a bunch of images in your ...</td>\n",
       "      <td>\"If you press `shift+enter`</td>\n",
       "      <td>2016-03-19 12:15:18</td>\n",
       "      <td>but I get it if I install the PyPI wheel. \"</td>\n",
       "      <td>...</td>\n",
       "      <td>reboot and retry</td>\n",
       "      <td>\"This is really great</td>\n",
       "      <td>2015-12-15 13:10:56</td>\n",
       "      <td>2015-04-16 05:13:43</td>\n",
       "      <td>2016-03-15 17:37:58</td>\n",
       "      <td>2016-04-10 14:34:23</td>\n",
       "      <td>2015-12-10 06:35:32</td>\n",
       "      <td>\"Running `py.test` directly on `nbgrader/tests...</td>\n",
       "      <td>2016-04-30 17:04:39</td>\n",
       "      <td>2016-04-10 16:07:47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69246</th>\n",
       "      <td>and if we</td>\n",
       "      <td>the renderer fetches the required package for...</td>\n",
       "      <td>\"I'm getting this using both a python2 and pyt...</td>\n",
       "      <td>\"@blink1073 - I agree. That said</td>\n",
       "      <td>but not all the way</td>\n",
       "      <td>\"&gt; I definitely think it shouldn't have the tr...</td>\n",
       "      <td>the attachments will stay unless you remove t...</td>\n",
       "      <td>the cell does not advance</td>\n",
       "      <td>but it doesn't hide the code when exporting. ...</td>\n",
       "      <td>but same things</td>\n",
       "      <td>...</td>\n",
       "      <td>`.IOLoop`</td>\n",
       "      <td>2016-12-22 17:27:32</td>\n",
       "      <td>\"Thank you so much @minrk. Ended up rekicking ...</td>\n",
       "      <td>\"I have witnessed a [very long discussion](htt...</td>\n",
       "      <td>\"From today's video meeting discussion:</td>\n",
       "      <td>2016-04-10 16:07:47</td>\n",
       "      <td>\"I'll give this a stab.</td>\n",
       "      <td>2016-04-30 13:08:09</td>\n",
       "      <td>\"I'm running Ubuntu 14.04</td>\n",
       "      <td>\"Thanks @SylvainCorlay</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69247</th>\n",
       "      <td>but if you google for \"\"enable javascript &lt;yo...</td>\n",
       "      <td>but it demonstrates how renderers could be mo...</td>\n",
       "      <td>\"@minrk thanks for pointing out the obvious to me</td>\n",
       "      <td>2015-06-26 21:47:00</td>\n",
       "      <td>2015-12-17 09:30:54</td>\n",
       "      <td>\"&gt; Concerning your latest screenshot</td>\n",
       "      <td>_args</td>\n",
       "      <td>and there is a kernel status indicator that s...</td>\n",
       "      <td>\"The `hide_code` notebook extension is nice</td>\n",
       "      <td>don't push the wheels now. \"</td>\n",
       "      <td>...</td>\n",
       "      <td>c.Class.dict_trait = {}</td>\n",
       "      <td>\"@lgpage Do you think you'll have time to work...</td>\n",
       "      <td>2015-05-21 13:34:57</td>\n",
       "      <td>and block math uses</td>\n",
       "      <td>\"New PR up: https://github.com/ellisonbg/noteb...</td>\n",
       "      <td>\"Thanks @SylvainCorlay</td>\n",
       "      <td>2015-12-10 19:53:15</td>\n",
       "      <td>2016-04-30 17:04:39</td>\n",
       "      <td>2016-04-30 16:56:02</td>\n",
       "      <td>1328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69248</th>\n",
       "      <td>msg_parts = session.feed_identities(msg_list)</td>\n",
       "      <td>and renders it using using that package (whic...</td>\n",
       "      <td>sometimes I need that :)</td>\n",
       "      <td>no worries then. I have them in my email</td>\n",
       "      <td>\"Re: @SylvainCorlay's point</td>\n",
       "      <td>2016-04-13 07:54:15</td>\n",
       "      <td>*_kwargs))</td>\n",
       "      <td>the input prompt clears</td>\n",
       "      <td>I created a code hiding plugin for Jupyter a ...</td>\n",
       "      <td>so if you want to remove the shadow</td>\n",
       "      <td>...</td>\n",
       "      <td>requests</td>\n",
       "      <td>2017-01-07 02:19:32</td>\n",
       "      <td>2015-05-21 05:02:53</td>\n",
       "      <td>2017-01-17 20:27:43</td>\n",
       "      <td>2016-03-10 12:50:30</td>\n",
       "      <td>2016-09-20 11:12:55</td>\n",
       "      <td>\"@captainsafia so I can find this later.</td>\n",
       "      <td>\"Unless your system is set to the same time zo...</td>\n",
       "      <td>\"1. Are you doing this in the demo</td>\n",
       "      <td>\"I guess you refer to using a Notebook server ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69249</th>\n",
       "      <td>and that vendor or organization can at any ti...</td>\n",
       "      <td>dynamically imports it using SystemJS</td>\n",
       "      <td>2015-10-08 16:50:50</td>\n",
       "      <td>and indeed</td>\n",
       "      <td>which we never got around to implementing.</td>\n",
       "      <td>I think it is a bit hard to distinguish betwe...</td>\n",
       "      <td>nmeraihi</td>\n",
       "      <td>2016-03-17 15:29:00</td>\n",
       "      <td>2016-01-26 01:17:58</td>\n",
       "      <td>go for it.\"</td>\n",
       "      <td>...</td>\n",
       "      <td>data)</td>\n",
       "      <td>I just want to know whether I should move it ...</td>\n",
       "      <td>2016-09-20 11:12:55</td>\n",
       "      <td>2016-10-24 09:17:47</td>\n",
       "      <td>\"&gt;  I opened ellisonbg#22 to fix the \"\"no dots...</td>\n",
       "      <td>\"I guess you refer to using a Notebook server ...</td>\n",
       "      <td>2015-10-08 11:43:38</td>\n",
       "      <td>\"I'm running Ubuntu 14.04</td>\n",
       "      <td>or on your local computer?</td>\n",
       "      <td>2016-09-20 11:12:55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69250</th>\n",
       "      <td>the registration belongs to the vendor or org...</td>\n",
       "      <td>this raises **huge** security concerns</td>\n",
       "      <td>\"Aha! Using the `--no-deps` option when pip in...</td>\n",
       "      <td>it got huge :)</td>\n",
       "      <td>2015-12-17 09:41:41</td>\n",
       "      <td>2016-04-12 22:04:13</td>\n",
       "      <td>in run_sync</td>\n",
       "      <td>would be a case to handle. We could support t...</td>\n",
       "      <td>\"@Saynah</td>\n",
       "      <td>we added an environment variable in jupyter_core</td>\n",
       "      <td>...</td>\n",
       "      <td>'%s:/home/instructor/user-submission/' % (sub...</td>\n",
       "      <td>2017-01-25 14:47:22</td>\n",
       "      <td>\"I guess you refer to using a Notebook server ...</td>\n",
       "      <td>\"- https://github.com/jupyter/nbformat/blob/ma...</td>\n",
       "      <td>2016-03-18 16:21:27</td>\n",
       "      <td>2016-09-12 17:07:38</td>\n",
       "      <td>2015-10-08 10:38:07</td>\n",
       "      <td>2016-04-30 16:56:02</td>\n",
       "      <td>2017-03-23 17:12:53</td>\n",
       "      <td>2015-10-09 12:23:42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69251</th>\n",
       "      <td>the jupyter logo and menu toggle are still le...</td>\n",
       "      <td>meaning that as soon as an output is available</td>\n",
       "      <td>2015-10-05 18:12:17</td>\n",
       "      <td>\"Hi!</td>\n",
       "      <td>also during that discussion</td>\n",
       "      <td>\"@cameronoelsen Concerning your latest screenshot</td>\n",
       "      <td>line 418</td>\n",
       "      <td>\"but yeah</td>\n",
       "      <td>@ecollins</td>\n",
       "      <td>so you can run `JUPYTER_NO_CONFIG=1 jupyter n...</td>\n",
       "      <td>...</td>\n",
       "      <td>but it's white characters over white background</td>\n",
       "      <td>2017-03-28 20:17:28</td>\n",
       "      <td>2015-08-26 08:25:25</td>\n",
       "      <td>2017-02-14 03:02:42</td>\n",
       "      <td>2016-03-14 17:50:23</td>\n",
       "      <td>\"@Carreau @minrk Can you reproduce?</td>\n",
       "      <td>\"Fixed in jupyter-client 4.1.1</td>\n",
       "      <td>\"Oof</td>\n",
       "      <td>wow.</td>\n",
       "      <td>2015-10-09 15:02:11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69252</th>\n",
       "      <td>but were thinking of the complexity this may ...</td>\n",
       "      <td>a user would not be required to install an ex...</td>\n",
       "      <td>doesn't cause this issue.</td>\n",
       "      <td>\"and of course</td>\n",
       "      <td>we proposed a kernel-specific nbextension path</td>\n",
       "      <td>2016-04-08 21:01:26</td>\n",
       "      <td>display_id='...') re-using a display_id is ei...</td>\n",
       "      <td>a long-running cell that was</td>\n",
       "      <td>2016-07-25 00:30:44</td>\n",
       "      <td>and nuked my main.min.js files to be sure. it...</td>\n",
       "      <td>...</td>\n",
       "      <td>\"\"my_serverextension\"\")</td>\n",
       "      <td>2017-03-29 18:08:35</td>\n",
       "      <td>2015-08-26 08:25:04</td>\n",
       "      <td>\"Right now it's not automatically created</td>\n",
       "      <td>\"&gt; If the source is a dir a dir symlink is mad...</td>\n",
       "      <td>2015-11-30 23:58:56</td>\n",
       "      <td>\"@Carreau @minrk Can you reproduce?</td>\n",
       "      <td>wow.</td>\n",
       "      <td>\"Oof</td>\n",
       "      <td>\"Thanks min!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69253</th>\n",
       "      <td>I have to click once again into the cell.</td>\n",
       "      <td>as far as I can tell. That's the only reason ...</td>\n",
       "      <td>it turns out we can address this from the cli...</td>\n",
       "      <td>2015-04-14 17:12:32</td>\n",
       "      <td>which we never got around to implementing. I ...</td>\n",
       "      <td>should have it posted soon</td>\n",
       "      <td>url</td>\n",
       "      <td>perhaps</td>\n",
       "      <td>\"While I do think we can improve the notebook'...</td>\n",
       "      <td>I did twice</td>\n",
       "      <td>...</td>\n",
       "      <td>I'm going to close this</td>\n",
       "      <td>so my find-replace throughout the notebook co...</td>\n",
       "      <td>\"Though anyone can take over for an easy bug fix.</td>\n",
       "      <td>2017-03-30 21:08:13</td>\n",
       "      <td>\"High level question:</td>\n",
       "      <td>\"@captainsafia it might also be worth testing ...</td>\n",
       "      <td>2016-09-12 17:07:38</td>\n",
       "      <td>2017-02-20 20:21:15</td>\n",
       "      <td>2017-02-20 20:21:15</td>\n",
       "      <td>2016-09-12 17:07:38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69254</th>\n",
       "      <td>thewtex</td>\n",
       "      <td>that works for me.\"</td>\n",
       "      <td>seems to prevent the `OPTIONS` preflight alto...</td>\n",
       "      <td>2015-04-14 18:29:14</td>\n",
       "      <td>\"&gt; Re: @SylvainCorlay's point</td>\n",
       "      <td>\"@takluyver It will definitely stay in place a...</td>\n",
       "      <td>true);</td>\n",
       "      <td>displaying continuously running output</td>\n",
       "      <td>it may make sense to build other tools for th...</td>\n",
       "      <td>but please chime in if anything looks suspici...</td>\n",
       "      <td>...</td>\n",
       "      <td>config</td>\n",
       "      <td>\"That's precisely why I did it</td>\n",
       "      <td>2016-03-04 11:16:08</td>\n",
       "      <td>it was just specced out for the format.</td>\n",
       "      <td>2016-02-25 12:23:09</td>\n",
       "      <td>2015-10-09 15:02:11</td>\n",
       "      <td>\"@captainsafia it might also be worth testing ...</td>\n",
       "      <td>that's ok; I'm pretty confident this fixes it.</td>\n",
       "      <td>2016-04-19 20:27:11</td>\n",
       "      <td>\"@Carreau @minrk Can you reproduce?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69255</th>\n",
       "      <td>so it seemed more relevant.</td>\n",
       "      <td>npm will add `node_modules/.bin` to the path)...</td>\n",
       "      <td>and the backend deals with it fine. That's me...</td>\n",
       "      <td>all of these will change again when the widge...</td>\n",
       "      <td>2015-12-17 15:59:38</td>\n",
       "      <td>I think when a user loads up the document and...</td>\n",
       "      <td>start_new_session)</td>\n",
       "      <td>the first few cells are ignored</td>\n",
       "      <td>we should be able to build support for knitr ...</td>\n",
       "      <td>so if you can take over my PR that would be r...</td>\n",
       "      <td>...</td>\n",
       "      <td>we would also have to involve the IRB at Cal ...</td>\n",
       "      <td>2016-12-22 15:14:46</td>\n",
       "      <td>1170</td>\n",
       "      <td>2017-03-31 13:17:00</td>\n",
       "      <td>2016-03-10 15:45:59</td>\n",
       "      <td>\"Thanks min!</td>\n",
       "      <td>2015-11-30 23:58:56</td>\n",
       "      <td>\"#489 should fix the issue. If you can test it...</td>\n",
       "      <td>\"#489 should fix the issue. If you can test it...</td>\n",
       "      <td>\"@captainsafia it might also be worth testing ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69256</th>\n",
       "      <td>that was my though. The discussion started here</td>\n",
       "      <td>if we run an npm script</td>\n",
       "      <td>2015-10-20 15:48:19</td>\n",
       "      <td>2016-07-26 22:13:25</td>\n",
       "      <td>because opening and appending to a list in a ...</td>\n",
       "      <td>it doesn't have to get more in the way while ...</td>\n",
       "      <td>we might want to add a bit</td>\n",
       "      <td>and you open a notebook and start executing c...</td>\n",
       "      <td>2017-03-17 02:23:25</td>\n",
       "      <td>so I have to do this often. But the same appl...</td>\n",
       "      <td>...</td>\n",
       "      <td>i' : 'ipython.interrupt-kernel'</td>\n",
       "      <td>2017-01-15 20:20:12</td>\n",
       "      <td>\"@Carreau @minrk Can you reproduce?</td>\n",
       "      <td>\"Very early versions of the notebook format did</td>\n",
       "      <td>\"Question:</td>\n",
       "      <td>2015-10-09 12:23:42</td>\n",
       "      <td>other than patches to pip itself.</td>\n",
       "      <td>2016-04-19 20:27:11</td>\n",
       "      <td>that's ok; I'm pretty confident this fixes it.</td>\n",
       "      <td>2015-11-30 23:58:56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69257</th>\n",
       "      <td>perhaps apparent security... because torrents...</td>\n",
       "      <td>our javascript tests can be run against an *i...</td>\n",
       "      <td>if this is still a problem for anyone else</td>\n",
       "      <td>\"Hi again! Sorry to bug you about this</td>\n",
       "      <td>they don't generally need to</td>\n",
       "      <td>that line is probably having no effect.</td>\n",
       "      <td>as a less incremental / more risky suggestion:</td>\n",
       "      <td>2016-03-17 14:56:05</td>\n",
       "      <td>after over 10 years of reading emails from MinRK</td>\n",
       "      <td>that requires too much implicit knowledge fro...</td>\n",
       "      <td>...</td>\n",
       "      <td>I can adjust my \"\"quick access\"\" icons bar in...</td>\n",
       "      <td>2017-02-20 19:23:13</td>\n",
       "      <td>2016-09-12 17:07:38</td>\n",
       "      <td>but...</td>\n",
       "      <td>2016-03-26 14:04:02</td>\n",
       "      <td>1692</td>\n",
       "      <td>\"I'm pretty sure this is pip reporting the ver...</td>\n",
       "      <td>2016-04-19 19:59:48</td>\n",
       "      <td>2016-04-19 19:59:48</td>\n",
       "      <td>2016-08-19 09:35:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69258</th>\n",
       "      <td>and it'll be better than putting it in the cl...</td>\n",
       "      <td>though: in general</td>\n",
       "      <td>and the notebook is only installed with pip3....</td>\n",
       "      <td>but I wanted to check whether there was any u...</td>\n",
       "      <td>since they are a simple dict-dump. And further</td>\n",
       "      <td>an extra layer on top of the notebook to supp...</td>\n",
       "      <td>we have to worry about someone</td>\n",
       "      <td>\"@blink1073</td>\n",
       "      <td>my brain is</td>\n",
       "      <td>though the linux build on travis seems to ins...</td>\n",
       "      <td>...</td>\n",
       "      <td>uri='/user/test_pgs_spring2017/assignments/fe...</td>\n",
       "      <td>2017-02-08 17:59:53</td>\n",
       "      <td>\"@captainsafia it might also be worth testing ...</td>\n",
       "      <td>we should be in good shape moving forward for...</td>\n",
       "      <td>\":tada: :cake: Welcome back to cali @minrk (an...</td>\n",
       "      <td>2016-08-19 09:35:03</td>\n",
       "      <td>2016-07-06 11:53:35</td>\n",
       "      <td>\"The URL should have \"\"/nbgrader/dlsun\"\" as pa...</td>\n",
       "      <td>\"The URL should have \"\"/nbgrader/dlsun\"\" as pa...</td>\n",
       "      <td>1692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69259</th>\n",
       "      <td>(2) HTTP LB forwards client ip to upstream bu...</td>\n",
       "      <td>do make sure to update travis and `jstest.py`...</td>\n",
       "      <td>`pip` is `pip2`</td>\n",
       "      <td>and it'd be great to get this resolved.</td>\n",
       "      <td>unlike in Python. A further point in favor of...</td>\n",
       "      <td>as expected.</td>\n",
       "      <td>because the browser doesn't have any way to e...</td>\n",
       "      <td>That is basically the use-case I'm addressing...</td>\n",
       "      <td>2016-07-25 19:19:36</td>\n",
       "      <td>why would jupyter inside my actual conda env ...</td>\n",
       "      <td>...</td>\n",
       "      <td>but really why not just jupyter-input-area</td>\n",
       "      <td>2017-01-23 20:43:47</td>\n",
       "      <td>2015-11-30 23:58:56</td>\n",
       "      <td>\"I'd definitely _like_ to drop the legacy mult...</td>\n",
       "      <td>\"New PR : https://github.com/ellisonbg/noteboo...</td>\n",
       "      <td>\"Though anyone can take over for an easy bug fix.</td>\n",
       "      <td>\"I guess you refer to using a Notebook server ...</td>\n",
       "      <td>2016-04-24 01:37:06</td>\n",
       "      <td>\"The problem seems to have resolved itself -- ...</td>\n",
       "      <td>\"Though anyone can take over for an easy bug fix.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69260</th>\n",
       "      <td>used in production at Quantopian</td>\n",
       "      <td>rather than the global one.\"</td>\n",
       "      <td>\"I just realized: if you are using that Docker...</td>\n",
       "      <td>2017-01-21 12:32:35</td>\n",
       "      <td>\"&gt; I have no problem switching over to one or ...</td>\n",
       "      <td>you might try temporarily disabling it to see...</td>\n",
       "      <td>users should eventually never see this unlike...</td>\n",
       "      <td>and then often there are huge errors in later...</td>\n",
       "      <td>thanks for a fantastic product overall!</td>\n",
       "      <td>clicking on edit or view only open one.... So...</td>\n",
       "      <td>...</td>\n",
       "      <td>it's both kernelside (in your case IPython)  ...</td>\n",
       "      <td>Using a conda env. Double checking now to see ...</td>\n",
       "      <td>2015-10-08 10:38:07</td>\n",
       "      <td>2016-10-09 21:05:55</td>\n",
       "      <td>2016-03-15 15:10:50</td>\n",
       "      <td>2015-08-26 08:25:25</td>\n",
       "      <td>2016-09-20 11:12:55</td>\n",
       "      <td>\"The problem seems to have resolved itself -- ...</td>\n",
       "      <td>2016-04-24 01:37:06</td>\n",
       "      <td>2015-08-26 08:25:25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69261</th>\n",
       "      <td>number</td>\n",
       "      <td>you do make a really good point about tables ...</td>\n",
       "      <td>2015-10-06 09:47:19</td>\n",
       "      <td>and the build went out. Perhaps it was an old...</td>\n",
       "      <td>2015-12-17 13:37:06</td>\n",
       "      <td>or AV software running? If so</td>\n",
       "      <td>somewhere</td>\n",
       "      <td>for example) wasn't executed.</td>\n",
       "      <td>code) would be a fantastic first step and wou...</td>\n",
       "      <td>if it is just for the dev version (but not me...</td>\n",
       "      <td>...</td>\n",
       "      <td>can be an object\"\"</td>\n",
       "      <td>2017-01-23 20:49:34</td>\n",
       "      <td>2015-10-08 11:43:38</td>\n",
       "      <td>2016-10-09 19:53:00</td>\n",
       "      <td>\"I reran the experiment from https://github.co...</td>\n",
       "      <td>2015-08-26 08:25:04</td>\n",
       "      <td>1692</td>\n",
       "      <td>\"I am running off master from about 3 weeks ago.</td>\n",
       "      <td>2016-04-19 20:02:23</td>\n",
       "      <td>2015-08-26 08:25:04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69262</th>\n",
       "      <td>comments</td>\n",
       "      <td>I have too much in my pipeline already.\"</td>\n",
       "      <td>since it shows that you don't have the notebo...</td>\n",
       "      <td>\"The notebook server containers needed to be c...</td>\n",
       "      <td>which is the correct one?</td>\n",
       "      <td>firewall</td>\n",
       "      <td>someday calling something `notebook` other th...</td>\n",
       "      <td>making a cell read-only while executing is a ...</td>\n",
       "      <td>\"To separate out the requests a bit</td>\n",
       "      <td>I'm ready to publish 5.0.0 as soon as the blo...</td>\n",
       "      <td>...</td>\n",
       "      <td>Action better than Action</td>\n",
       "      <td>\"Hmm can't reproduce either</td>\n",
       "      <td>\"Fixed in jupyter-client 4.1.1</td>\n",
       "      <td>\"/cc @aleury fun problems in JSON land for nbf...</td>\n",
       "      <td>2016-03-15 13:10:16</td>\n",
       "      <td>2015-10-08 10:38:07</td>\n",
       "      <td>2016-08-19 09:35:03</td>\n",
       "      <td>2016-04-19 20:02:23</td>\n",
       "      <td>\"I am running off master from about 3 weeks ago.</td>\n",
       "      <td>2015-10-08 10:38:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69263</th>\n",
       "      <td>user</td>\n",
       "      <td>so maybe they didn't run 😮. I did receive a ...</td>\n",
       "      <td>which is current stable and doesn't have the ...</td>\n",
       "      <td>2016-10-21 14:13:50</td>\n",
       "      <td>great.  But is there scope to discuss how con...</td>\n",
       "      <td>or AV software running to fix this problem as...</td>\n",
       "      <td>so maybe clarifying the steps for an initial ...</td>\n",
       "      <td>2016-03-17 15:38:20</td>\n",
       "      <td>having the ability to hide input cells (ie</td>\n",
       "      <td>since they are only npm packages but we need ...</td>\n",
       "      <td>...</td>\n",
       "      <td>in part</td>\n",
       "      <td>seems I must have messed something up somewhe...</td>\n",
       "      <td>2016-08-19 09:35:03</td>\n",
       "      <td>2016-10-17 03:44:18</td>\n",
       "      <td>the package dicts could have an enable: True/...</td>\n",
       "      <td>2015-10-08 11:43:38</td>\n",
       "      <td>2016-03-04 11:16:08</td>\n",
       "      <td>\"If you click the other \"\"breadcrumbs\"\" links ...</td>\n",
       "      <td>are those broken</td>\n",
       "      <td>2015-10-08 11:43:38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69264</th>\n",
       "      <td>comment_creation_date</td>\n",
       "      <td>which I'll work on shortly.\"</td>\n",
       "      <td>you do have the notebook and it is 4.0.5</td>\n",
       "      <td>2016-11-17 14:29:19</td>\n",
       "      <td>toward ameliorating</td>\n",
       "      <td>you may try to close any proxy configuration</td>\n",
       "      <td>I'm closing this issue now. Just an FYI that ...</td>\n",
       "      <td>\"@blink1073 - I agree. That said</td>\n",
       "      <td>2016-04-05 22:55:03</td>\n",
       "      <td>so I could use your help with that. \"</td>\n",
       "      <td>...</td>\n",
       "      <td>host='copano.tamu.edu:8000'</td>\n",
       "      <td>2017-01-23 20:22:52</td>\n",
       "      <td>1692</td>\n",
       "      <td>2016-11-17 18:52:00</td>\n",
       "      <td>2016-03-08 22:22:24</td>\n",
       "      <td>\"Fixed in jupyter-client 4.1.1</td>\n",
       "      <td>1170</td>\n",
       "      <td>2016-04-19 20:06:09</td>\n",
       "      <td>2016-04-19 20:06:09</td>\n",
       "      <td>\"Fixed in jupyter-client 4.1.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69265</th>\n",
       "      <td>issue_date</td>\n",
       "      <td>but it's stopping the tests from running.\"</td>\n",
       "      <td>2015-10-05 21:25:35</td>\n",
       "      <td>\"@fperez this is already an opened issue.</td>\n",
       "      <td>it makes sense to do `c.NotebookApp.server_ex...</td>\n",
       "      <td>Akelio-zhang</td>\n",
       "      <td>we'll be happy to guide you and get feedback ...</td>\n",
       "      <td>2016-01-26 23:28:31</td>\n",
       "      <td>ping @jamiesHQ</td>\n",
       "      <td>but it got changed.\"</td>\n",
       "      <td>...</td>\n",
       "      <td>students='students_course2')</td>\n",
       "      <td>does it also happen?\"</td>\n",
       "      <td>1350</td>\n",
       "      <td>2016-11-17 12:31:24</td>\n",
       "      <td>2015-12-17 06:34:37</td>\n",
       "      <td>2016-04-14 10:50:20</td>\n",
       "      <td>2016-04-14 10:50:20</td>\n",
       "      <td>are those broken</td>\n",
       "      <td>\"If you click the other \"\"breadcrumbs\"\" links ...</td>\n",
       "      <td>2016-04-14 10:50:20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69266</th>\n",
       "      <td>repo</td>\n",
       "      <td>gnestor</td>\n",
       "      <td>\"I'm not sure how it's working when you use `-...</td>\n",
       "      <td>2016-10-20 21:36:22</td>\n",
       "      <td>2015-07-26 06:07:20</td>\n",
       "      <td>it would just stall since the notebook server...</td>\n",
       "      <td>)</td>\n",
       "      <td>1002</td>\n",
       "      <td>code) would be a fantastic first step and wou...</td>\n",
       "      <td>ellisonbg</td>\n",
       "      <td>...</td>\n",
       "      <td>apparently</td>\n",
       "      <td>\"If you install the release candidate</td>\n",
       "      <td>2016-04-14 10:50:20</td>\n",
       "      <td>nbformat</td>\n",
       "      <td>879</td>\n",
       "      <td>1350</td>\n",
       "      <td>1350</td>\n",
       "      <td>nbgrader</td>\n",
       "      <td>nbgrader</td>\n",
       "      <td>1350</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>69267 rows × 100 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                      0   \\\n",
       "0                                               notebook   \n",
       "1                                                   1350   \n",
       "2                                    2016-04-14 10:50:20   \n",
       "3                         \"Fixed in jupyter-client 4.1.1   \n",
       "4                                    2015-10-08 11:43:38   \n",
       "5                                    2015-10-08 10:38:07   \n",
       "6                                    2015-08-26 08:25:04   \n",
       "7      \"Though anyone can take over for an easy bug fix.   \n",
       "8                                    2015-08-26 08:25:25   \n",
       "9                                           \"Thanks min!   \n",
       "10                                   2015-10-09 15:02:11   \n",
       "11                                   2015-10-09 12:23:42   \n",
       "12                                   2016-08-19 09:35:03   \n",
       "13                                                  1692   \n",
       "14     \"@captainsafia it might also be worth testing ...   \n",
       "15                                   2015-11-30 23:58:56   \n",
       "16                                   2016-09-12 17:07:38   \n",
       "17                   \"@Carreau @minrk Can you reproduce?   \n",
       "18     \"I guess you refer to using a Notebook server ...   \n",
       "19                                   2016-09-20 11:12:55   \n",
       "20                                   2016-04-10 16:07:47   \n",
       "21                                \"Thanks @SylvainCorlay   \n",
       "22                                   2016-04-10 14:34:23   \n",
       "23                                                  1328   \n",
       "24     \"You can see related discussion like https://g...   \n",
       "25                                   2015-12-08 15:01:52   \n",
       "26                                   2015-12-07 22:42:29   \n",
       "27                                                   791   \n",
       "28                         \"I think you can submit a PR.   \n",
       "29                                   2015-09-09 20:58:56   \n",
       "...                                                  ...   \n",
       "69237   we **should** fallback on `plain/text` but do...   \n",
       "69238                                         February 9   \n",
       "69239                                       2016 4:01 PM   \n",
       "69240                                           `keymap`   \n",
       "69241   and `theme` in codemirror is likely still bro...   \n",
       "69242                             list(kwargs.values()))   \n",
       "69243                                              I run   \n",
       "69244             though I have some preference for `jp`   \n",
       "69245   since I would like to avoid `py` in abbreviat...   \n",
       "69246                                          and if we   \n",
       "69247   but if you google for \"\"enable javascript <yo...   \n",
       "69248      msg_parts = session.feed_identities(msg_list)   \n",
       "69249   and that vendor or organization can at any ti...   \n",
       "69250   the registration belongs to the vendor or org...   \n",
       "69251   the jupyter logo and menu toggle are still le...   \n",
       "69252   but were thinking of the complexity this may ...   \n",
       "69253          I have to click once again into the cell.   \n",
       "69254                                            thewtex   \n",
       "69255                        so it seemed more relevant.   \n",
       "69256    that was my though. The discussion started here   \n",
       "69257   perhaps apparent security... because torrents...   \n",
       "69258   and it'll be better than putting it in the cl...   \n",
       "69259   (2) HTTP LB forwards client ip to upstream bu...   \n",
       "69260                   used in production at Quantopian   \n",
       "69261                                             number   \n",
       "69262                                           comments   \n",
       "69263                                               user   \n",
       "69264                              comment_creation_date   \n",
       "69265                                         issue_date   \n",
       "69266                                               repo   \n",
       "\n",
       "                                                      17  \\\n",
       "0                                                 rgbkrk   \n",
       "1       but probably leave it to users to configure a...   \n",
       "2                        but it is a bit of a papercut.\"   \n",
       "3       giving us a place to store metadata that you ...   \n",
       "4       I think I'd hold off on storing the state in ...   \n",
       "5                                       and jupyter repo   \n",
       "6       or a package co-published from the existing n...   \n",
       "7                       and an nbconvert preprocessor. \"   \n",
       "8       the extension provides saving the folded stat...   \n",
       "9                         nothing to be paranoid about.\"   \n",
       "10      yet the underlying data/contract may have a m...   \n",
       "11      then we would have to bump the major version ...   \n",
       "12                                       in Colaboratory   \n",
       "13                   we use metadata on `stream` outputs   \n",
       "14      in order to do various forms of output contro...   \n",
       "15      so we do some gyrations to always ensure this...   \n",
       "16                                   2017-02-28 17:13:50   \n",
       "17     Yeah what I want us to enforce going forward i...   \n",
       "18                                   2017-02-28 15:58:08   \n",
       "19     \"We're going to start using more metadata fiel...   \n",
       "20      albeit on a namespace (nteract). For small fi...   \n",
       "21               which is annoying for version control.\"   \n",
       "22                        but it can be quite changeable   \n",
       "23                      \"Small metadata is less annoying   \n",
       "24                                   2017-02-28 16:40:22   \n",
       "25           \"I just meant the data itself is changeable   \n",
       "26      rather than the format. I don't want things l...   \n",
       "27      any more than I want the last position of my ...   \n",
       "28                                   2017-02-28 18:02:08   \n",
       "29                                   2017-03-03 12:47:26   \n",
       "...                                                  ...   \n",
       "69237  @minrk Hmmm. So users who have installed the n...   \n",
       "69238                                2017-02-11 01:16:24   \n",
       "69239                      Isn't this a private package?   \n",
       "69240                                2017-02-09 21:14:33   \n",
       "69241   though. A properly configured IFrame should p...   \n",
       "69242   but it has smelled a bit off to me too to iso...   \n",
       "69243   have renderers say they can handle specific m...   \n",
       "69244                     but it still feels a bit off.\"   \n",
       "69245   but then let the renderers change the state f...   \n",
       "69246   the renderer fetches the required package for...   \n",
       "69247   but it demonstrates how renderers could be mo...   \n",
       "69248   and renders it using using that package (whic...   \n",
       "69249              dynamically imports it using SystemJS   \n",
       "69250             this raises **huge** security concerns   \n",
       "69251     meaning that as soon as an output is available   \n",
       "69252   a user would not be required to install an ex...   \n",
       "69253   as far as I can tell. That's the only reason ...   \n",
       "69254                                that works for me.\"   \n",
       "69255   npm will add `node_modules/.bin` to the path)...   \n",
       "69256                            if we run an npm script   \n",
       "69257   our javascript tests can be run against an *i...   \n",
       "69258                                 though: in general   \n",
       "69259   do make sure to update travis and `jstest.py`...   \n",
       "69260                       rather than the global one.\"   \n",
       "69261   you do make a really good point about tables ...   \n",
       "69262           I have too much in my pipeline already.\"   \n",
       "69263   so maybe they didn't run 😮. I did receive a ...   \n",
       "69264                       which I'll work on shortly.\"   \n",
       "69265         but it's stopping the tests from running.\"   \n",
       "69266                                            gnestor   \n",
       "\n",
       "                                                      76  \\\n",
       "0       all of these will change again when the widge...   \n",
       "1                                         \"and of course   \n",
       "2                                    2015-04-14 18:29:14   \n",
       "3                                    2015-04-14 17:12:32   \n",
       "4                                    2016-11-17 14:29:19   \n",
       "5              \"@fperez this is already an opened issue.   \n",
       "6                                    2016-10-20 21:36:22   \n",
       "7       and the build went out. Perhaps it was an old...   \n",
       "8      \"The notebook server containers needed to be c...   \n",
       "9                                    2016-10-21 14:13:50   \n",
       "10      but I wanted to check whether there was any u...   \n",
       "11               and it'd be great to get this resolved.   \n",
       "12                                   2017-01-21 12:32:35   \n",
       "13                \"Hi again! Sorry to bug you about this   \n",
       "14                                   2015-06-24 22:41:18   \n",
       "15      but I can't really design anything until I kn...   \n",
       "16      I have designed the top of the front page and...   \n",
       "17                                                 About   \n",
       "18      Citing etc.). I have included below a mockup ...   \n",
       "19                                         Announcements   \n",
       "20      Cite and other important information about Ju...   \n",
       "21      it is going to follow the orange that the Jup...   \n",
       "22      I have attached a hackpad to collaborate on b...   \n",
       "23     \"@Carreau @jdfreder @ellisonbg @rgbkrk I am st...   \n",
       "24         code example. Python.org is terrible at that.   \n",
       "25                                   2015-06-24 08:47:45   \n",
       "26      and can be scary to the novice user. Though i...   \n",
       "27                                           too minimal   \n",
       "28                                    Julia lang is imho   \n",
       "29             \"Well I think we need both kind of design   \n",
       "...                                                  ...   \n",
       "69237                                at least partially.   \n",
       "69238                                2015-10-08 14:20:35   \n",
       "69239                \"@ngoldbaum this is fixed in master   \n",
       "69240   so installing notebook from master should do it.   \n",
       "69241   I was installing the widgets with both `pip2`...   \n",
       "69242                                2015-10-06 14:37:00   \n",
       "69243                                            \"Hmm ok   \n",
       "69244   trying to run thebe. I set up IPython using a...   \n",
       "69245                                2015-10-07 20:58:24   \n",
       "69246  \"I'm getting this using both a python2 and pyt...   \n",
       "69247  \"@minrk thanks for pointing out the obvious to me   \n",
       "69248                           sometimes I need that :)   \n",
       "69249                                2015-10-08 16:50:50   \n",
       "69250  \"Aha! Using the `--no-deps` option when pip in...   \n",
       "69251                                2015-10-05 18:12:17   \n",
       "69252                          doesn't cause this issue.   \n",
       "69253   it turns out we can address this from the cli...   \n",
       "69254   seems to prevent the `OPTIONS` preflight alto...   \n",
       "69255   and the backend deals with it fine. That's me...   \n",
       "69256                                2015-10-20 15:48:19   \n",
       "69257         if this is still a problem for anyone else   \n",
       "69258   and the notebook is only installed with pip3....   \n",
       "69259                                    `pip` is `pip2`   \n",
       "69260  \"I just realized: if you are using that Docker...   \n",
       "69261                                2015-10-06 09:47:19   \n",
       "69262   since it shows that you don't have the notebo...   \n",
       "69263   which is current stable and doesn't have the ...   \n",
       "69264           you do have the notebook and it is 4.0.5   \n",
       "69265                                2015-10-05 21:25:35   \n",
       "69266  \"I'm not sure how it's working when you use `-...   \n",
       "\n",
       "                                                      75  \\\n",
       "0                             and the weight needs to be   \n",
       "1      \"Just annoying because Binder is also down and...   \n",
       "2                                    2016-09-23 02:10:18   \n",
       "3                                            \"cc @fperez   \n",
       "4                                    2016-09-23 02:09:45   \n",
       "5                                           \"Still down.   \n",
       "6                                    2016-09-23 02:07:00   \n",
       "7                                    2015-09-09 18:24:26   \n",
       "8                     \"I'll see if I can find what's up.   \n",
       "9                                    2016-09-23 02:08:44   \n",
       "10                                \"More like down again.   \n",
       "11                                   2015-09-09 18:23:57   \n",
       "12     \"Ruh roh! I'm not able to reach into this at t...   \n",
       "13                    are you willing to check this out?   \n",
       "14      which looks like it rebooted the server. I cl...   \n",
       "15                       and it looks to be back up now.   \n",
       "16                                   2016-09-25 13:40:58   \n",
       "17                    \"There was some maintenance on IAD   \n",
       "18      thanks Min. I wasn't even sure I could reach ...   \n",
       "19                                   2016-09-25 14:57:03   \n",
       "20                                      thought the same   \n",
       "21          and got the habit of typing `less`. renamed.   \n",
       "22                                   2015-04-14 22:32:42   \n",
       "23                                     \"Yes it make sens   \n",
       "24                   I just copied and pasted an example   \n",
       "25                                \"> When I run gulp css   \n",
       "26                                   2015-04-20 19:16:46   \n",
       "27      it doesn't build the sourcemaps. Do you know ...   \n",
       "28                                   2015-04-20 19:04:30   \n",
       "29                                \"When I run `gulp css`   \n",
       "...                                                  ...   \n",
       "69237                    the first few cells are ignored   \n",
       "69238                                2016-03-17 14:56:05   \n",
       "69239                                        \"@blink1073   \n",
       "69240                      for example) wasn't executed.   \n",
       "69241   and then often there are huge errors in later...   \n",
       "69242   and you open a notebook and start executing c...   \n",
       "69243   That is basically the use-case I'm addressing...   \n",
       "69244                                2016-03-17 15:38:20   \n",
       "69245   making a cell read-only while executing is a ...   \n",
       "69246                   \"@blink1073 - I agree. That said   \n",
       "69247                                2015-06-26 21:47:00   \n",
       "69248           no worries then. I have them in my email   \n",
       "69249                                         and indeed   \n",
       "69250                                     it got huge :)   \n",
       "69251                                               \"Hi!   \n",
       "69252                                     \"and of course   \n",
       "69253                                2015-04-14 17:12:32   \n",
       "69254                                2015-04-14 18:29:14   \n",
       "69255   all of these will change again when the widge...   \n",
       "69256                                2016-07-26 22:13:25   \n",
       "69257             \"Hi again! Sorry to bug you about this   \n",
       "69258   but I wanted to check whether there was any u...   \n",
       "69259            and it'd be great to get this resolved.   \n",
       "69260                                2017-01-21 12:32:35   \n",
       "69261   and the build went out. Perhaps it was an old...   \n",
       "69262  \"The notebook server containers needed to be c...   \n",
       "69263                                2016-10-21 14:13:50   \n",
       "69264                                2016-11-17 14:29:19   \n",
       "69265          \"@fperez this is already an opened issue.   \n",
       "69266                                2016-10-20 21:36:22   \n",
       "\n",
       "                                                      62  \\\n",
       "0       there's a separate [jupyter/qtconsole](https:...   \n",
       "1                                   we should just do it   \n",
       "2       but running `python example.py` with an activ...   \n",
       "3       and I think we list directories in is_hidden ...   \n",
       "4       since it communicates actual information (we ...   \n",
       "5       and each system maps that to a kernel name. T...   \n",
       "6       we don't have any obvious way to communicate ...   \n",
       "7       using PATH to override/wrap commands would no...   \n",
       "8       and that shouldn't give any trouble. I would ...   \n",
       "9       a bundle which includes the notebook along wi...   \n",
       "10      which is meant to be relevant across machines...   \n",
       "11      the one you want is `ClearSolutions.code_stub...   \n",
       "12      use the skeleton home directory to create the...   \n",
       "13                it ought to be plural and a list/array   \n",
       "14      please try to avoid committing whitespace cha...   \n",
       "15      or don't add them to the commit. The few here...   \n",
       "16      maybe they should be two cell types. That wou...   \n",
       "17      if there are two different behaviours for mar...   \n",
       "18      because clicking on it opens an editor. I don...   \n",
       "19      and avoid popup blockers altogether. I think ...   \n",
       "20      which can be displayed neatly in the frontend...   \n",
       "21      a better approach is to produce an HTML table...   \n",
       "22      but they will all have the same permissions (...   \n",
       "23      the exchange service will continue to store f...   \n",
       "24      starting in a not-yet-mounted working dir) is...   \n",
       "25      which will work on Windows as well. It has no...   \n",
       "26                           we can use `shutil.which()`   \n",
       "27                                      i.e. on Python 3   \n",
       "28      we don't have a place for the mimetypes of no...   \n",
       "29      just the outputs/interactive pieces used in o...   \n",
       "...                                                  ...   \n",
       "69237   there appears to be no way to install the Jav...   \n",
       "69238                    \"If I'm understanding correctly   \n",
       "69239                                2016-01-06 15:54:55   \n",
       "69240   toward ameliorating some of the problems with...   \n",
       "69241            where atomic installation is important.   \n",
       "69242   it makes sense to do c.NotebookApp.server_ext...   \n",
       "69243                                       \"> In Python   \n",
       "69244                                2015-12-17 14:12:12   \n",
       "69245   and cut against the needs of kernel-dependent...   \n",
       "69246                                but not all the way   \n",
       "69247                                2015-12-17 09:30:54   \n",
       "69248                        \"Re: @SylvainCorlay's point   \n",
       "69249         which we never got around to implementing.   \n",
       "69250                                2015-12-17 09:41:41   \n",
       "69251                        also during that discussion   \n",
       "69252     we proposed a kernel-specific nbextension path   \n",
       "69253   which we never got around to implementing. I ...   \n",
       "69254                      \"> Re: @SylvainCorlay's point   \n",
       "69255                                2015-12-17 15:59:38   \n",
       "69256   because opening and appending to a list in a ...   \n",
       "69257                       they don't generally need to   \n",
       "69258     since they are a simple dict-dump. And further   \n",
       "69259   unlike in Python. A further point in favor of...   \n",
       "69260  \"> I have no problem switching over to one or ...   \n",
       "69261                                2015-12-17 13:37:06   \n",
       "69262                          which is the correct one?   \n",
       "69263   great.  But is there scope to discuss how con...   \n",
       "69264                                toward ameliorating   \n",
       "69265   it makes sense to do `c.NotebookApp.server_ex...   \n",
       "69266                                2015-07-26 06:07:20   \n",
       "\n",
       "                                                      83  \\\n",
       "0       if there are other selected cells? So that it...   \n",
       "1       it would move the mark (unless the cell were ...   \n",
       "2       and it wouldn't be surprising to users becaus...   \n",
       "3                                    2015-10-27 21:54:08   \n",
       "4                            \"> I like the no border too   \n",
       "5                                       which has boder.   \n",
       "6           Though there is also the \"\"edit-mode\"\" green   \n",
       "7                                    2015-10-27 20:54:22   \n",
       "8                              \"I like the no border too   \n",
       "9                                    2015-10-27 21:59:44   \n",
       "10                 I think we're talking past each other   \n",
       "11      because that division works for distinguishin...   \n",
       "12     \"I like this. Here's another thought: what if ...   \n",
       "13                                   2015-10-27 16:59:15   \n",
       "14      it looks ugly with multiple consecutive cells...   \n",
       "15                         if we do the full gray border   \n",
       "16      what styling would we use?  The left border a...   \n",
       "17                                             \"Question   \n",
       "18                                   2015-10-27 17:37:25   \n",
       "19      much clearer when you're in command mode vs e...   \n",
       "20      the more I like it. I think this will have th...   \n",
       "21                                   2015-10-27 19:09:08   \n",
       "22     \"The more I play around with the version that ...   \n",
       "23                            \"> Don't despair @Carreau!   \n",
       "24                                   2015-10-27 22:02:32   \n",
       "25                            thanks for the prototypes.   \n",
       "26                                   2015-10-27 22:02:06   \n",
       "27                              \"Don't despair @Carreau!   \n",
       "28                                   2015-10-27 17:57:10   \n",
       "29     \"Nice! I hadn't thought about the difference b...   \n",
       "...                                                  ...   \n",
       "69237                             but my only comment is   \n",
       "69238                                I would like to add   \n",
       "69239  \"From the experience with my own little truste...   \n",
       "69240                                2016-08-01 07:36:12   \n",
       "69241   that it is useful to have a persistent indica...   \n",
       "69242  \"I definitely think it shouldn't have the trus...   \n",
       "69243                                2016-04-08 20:49:53   \n",
       "69244   and we know that users seeing a dialog typica...   \n",
       "69245                                2016-04-08 20:50:09   \n",
       "69246  \"> I definitely think it shouldn't have the tr...   \n",
       "69247               \"> Concerning your latest screenshot   \n",
       "69248                                2016-04-13 07:54:15   \n",
       "69249   I think it is a bit hard to distinguish betwe...   \n",
       "69250                                2016-04-12 22:04:13   \n",
       "69251  \"@cameronoelsen Concerning your latest screenshot   \n",
       "69252                                2016-04-08 21:01:26   \n",
       "69253                         should have it posted soon   \n",
       "69254  \"@takluyver It will definitely stay in place a...   \n",
       "69255   I think when a user loads up the document and...   \n",
       "69256   it doesn't have to get more in the way while ...   \n",
       "69257            that line is probably having no effect.   \n",
       "69258   an extra layer on top of the notebook to supp...   \n",
       "69259                                       as expected.   \n",
       "69260   you might try temporarily disabling it to see...   \n",
       "69261                      or AV software running? If so   \n",
       "69262                                           firewall   \n",
       "69263   or AV software running to fix this problem as...   \n",
       "69264       you may try to close any proxy configuration   \n",
       "69265                                       Akelio-zhang   \n",
       "69266   it would just stall since the notebook server...   \n",
       "\n",
       "                                                      78  \\\n",
       "0            will the \"\"tag toolbar\"\" still be visible?\"   \n",
       "1       it could still fail for some other reason tha...   \n",
       "2       save it and reload it? that made the error ap...   \n",
       "3                                  we’re happy i think!\"   \n",
       "4                                  it may well be hard.\"   \n",
       "5          but with so much complex software interacting   \n",
       "6               so 404 is the right thing to do. However   \n",
       "7       so it doesn't seem to have to do with the con...   \n",
       "8       the notebook page should have 404'd itself if...   \n",
       "9                                           flying-sheep   \n",
       "10      and all requests are logged by the server wit...   \n",
       "11      apache)? Can you run the notebook server with...   \n",
       "12                                   2016-12-05 09:30:37   \n",
       "13         \"Something's weird if those logs are accurate   \n",
       "14      because it means whatever's getting a 404 is ...   \n",
       "15                                   2016-11-29 17:31:11   \n",
       "16                                     \"I don't doubt it   \n",
       "17      so I can chase it down. The 404 suggests that...   \n",
       "18      I'm just unclear on what exactly was going wrong   \n",
       "19              but I don't know how that would happen.\"   \n",
       "20                                   2016-12-08 17:22:38   \n",
       "21                                            \"Go for it   \n",
       "22      especially if you can figure out where the er...   \n",
       "23                                   2016-12-05 12:20:36   \n",
       "24     I think running with `JUPYTER_CONFIG_DIR=/tmp`...   \n",
       "25     how can i do this without tracking down and mo...   \n",
       "26                                   2016-12-05 10:12:39   \n",
       "27                                   2017-01-18 19:18:54   \n",
       "28                               thanks for coordinating   \n",
       "29                                   2017-01-02 12:17:52   \n",
       "...                                                  ...   \n",
       "69237   and I actually found the full green highlight...   \n",
       "69238   with lots of back-and-forth between command a...   \n",
       "69239      arbitrary notebooks are _not safe_ to host on   \n",
       "69240                      a message for humans is good.   \n",
       "69241   no error is more symmetrical with redundant e...   \n",
       "69242                                          *_kwargs)   \n",
       "69243                                         y) package   \n",
       "69244   but it don't had 64bit and python 3 so I swit...   \n",
       "69245   if you drag'n'drop a bunch of images in your ...   \n",
       "69246   the attachments will stay unless you remove t...   \n",
       "69247                                              _args   \n",
       "69248                                         *_kwargs))   \n",
       "69249                                           nmeraihi   \n",
       "69250                                        in run_sync   \n",
       "69251                                           line 418   \n",
       "69252   display_id='...') re-using a display_id is ei...   \n",
       "69253                                                url   \n",
       "69254                                             true);   \n",
       "69255                                 start_new_session)   \n",
       "69256                         we might want to add a bit   \n",
       "69257     as a less incremental / more risky suggestion:   \n",
       "69258                     we have to worry about someone   \n",
       "69259   because the browser doesn't have any way to e...   \n",
       "69260   users should eventually never see this unlike...   \n",
       "69261                                          somewhere   \n",
       "69262   someday calling something `notebook` other th...   \n",
       "69263   so maybe clarifying the steps for an initial ...   \n",
       "69264   I'm closing this issue now. Just an FYI that ...   \n",
       "69265   we'll be happy to guide you and get feedback ...   \n",
       "69266                                                  )   \n",
       "\n",
       "                                                      74  \\\n",
       "0       and the backend deals with it fine. That's me...   \n",
       "1                                    2015-10-20 15:48:19   \n",
       "2             if this is still a problem for anyone else   \n",
       "3       it turns out we can address this from the cli...   \n",
       "4       seems to prevent the `OPTIONS` preflight alto...   \n",
       "5                                    2015-10-05 21:25:35   \n",
       "6       which is current stable and doesn't have the ...   \n",
       "7               you do have the notebook and it is 4.0.5   \n",
       "8       since it shows that you don't have the notebo...   \n",
       "9      \"I'm not sure how it's working when you use `-...   \n",
       "10                                       `pip` is `pip2`   \n",
       "11     \"I just realized: if you are using that Docker...   \n",
       "12                                   2015-10-06 09:47:19   \n",
       "13      and the notebook is only installed with pip3....   \n",
       "14                             doesn't cause this issue.   \n",
       "15                                   2015-10-05 18:12:17   \n",
       "16     \"Aha! Using the `--no-deps` option when pip in...   \n",
       "17                                   2015-10-07 20:58:24   \n",
       "18      trying to run thebe. I set up IPython using a...   \n",
       "19     \"I'm getting this using both a python2 and pyt...   \n",
       "20     \"@minrk thanks for pointing out the obvious to me   \n",
       "21                                   2015-10-08 16:50:50   \n",
       "22                              sometimes I need that :)   \n",
       "23      so installing notebook from master should do it.   \n",
       "24                   \"@ngoldbaum this is fixed in master   \n",
       "25                                   2015-10-08 14:20:35   \n",
       "26      I was installing the widgets with both `pip2`...   \n",
       "27                                   2015-10-06 14:37:00   \n",
       "28                                               \"Hmm ok   \n",
       "29                                   2015-10-05 17:38:11   \n",
       "...                                                  ...   \n",
       "69237  \"I'm also less fond of the notebook queue as w...   \n",
       "69238                                   as you point out   \n",
       "69239                is that the cell.kernel can be null   \n",
       "69240   and I'm not sure when exactly it is going to ...   \n",
       "69241                      and if it can be set earlier.   \n",
       "69242                                2016-03-17 14:48:09   \n",
       "69243                    I think that's pretty explicit.   \n",
       "69244                                2016-03-17 15:15:07   \n",
       "69245                        \"If you press `shift+enter`   \n",
       "69246                          the cell does not advance   \n",
       "69247   and there is a kernel status indicator that s...   \n",
       "69248                            the input prompt clears   \n",
       "69249                                2016-03-17 15:29:00   \n",
       "69250   would be a case to handle. We could support t...   \n",
       "69251                                          \"but yeah   \n",
       "69252                       a long-running cell that was   \n",
       "69253                                            perhaps   \n",
       "69254             displaying continuously running output   \n",
       "69255                    the first few cells are ignored   \n",
       "69256   and you open a notebook and start executing c...   \n",
       "69257                                2016-03-17 14:56:05   \n",
       "69258                                        \"@blink1073   \n",
       "69259   That is basically the use-case I'm addressing...   \n",
       "69260   and then often there are huge errors in later...   \n",
       "69261                      for example) wasn't executed.   \n",
       "69262   making a cell read-only while executing is a ...   \n",
       "69263                                2016-03-17 15:38:20   \n",
       "69264                   \"@blink1073 - I agree. That said   \n",
       "69265                                2016-01-26 23:28:31   \n",
       "69266                                               1002   \n",
       "\n",
       "                                                      54  \\\n",
       "0                                                 fperez   \n",
       "1                                    2017-02-01 14:42:11   \n",
       "2      @minrk I haven't seen this in quite a while ei...   \n",
       "3                                    2017-02-01 14:33:43   \n",
       "4      It's been a long time since I've been able to ...   \n",
       "5          we can reopen it if people can reproduce it.\"   \n",
       "6                                    2017-02-02 17:27:06   \n",
       "7                                        \"Closed for now   \n",
       "8                                    2015-12-24 19:41:22   \n",
       "9                                                    900   \n",
       "10                                   2016-12-08 15:11:06   \n",
       "11                       :+1: to the border radius IMHO.   \n",
       "12     These are great. We would love to use these in...   \n",
       "13                                   2016-12-20 09:29:25   \n",
       "14     \"@faricacarroll I think that the square variat...   \n",
       "15      not sure how I like it without the border rad...   \n",
       "16                                   2016-12-01 19:36:32   \n",
       "17                       \"@faricacarroll For readability   \n",
       "18      wondering what the icon would look like witho...   \n",
       "19      try changing the \"\"Powered by\"\" on the last v...   \n",
       "20                                   2016-11-30 00:59:31   \n",
       "21                          test it out and we can see!\"   \n",
       "22     \"@faricacarroll I really like the version you ...   \n",
       "23      it may look _very_ thin at the small size tha...   \n",
       "24      try posting the variation with less of a bord...   \n",
       "25                                   2016-12-08 17:11:17   \n",
       "26                                   when printed to PDF   \n",
       "27      is ~ 45 pages long!  So it's certainly not co...   \n",
       "28                 and unless we can replicate it easily   \n",
       "29      I'm 100% comfortable retargeting this to 4.2 ...   \n",
       "...                                                  ...   \n",
       "69237   then https://github.com/michaelpacer/hiding_t...   \n",
       "69238  \"@dpsanders do you mean in the notebook or in ...   \n",
       "69239                                2016-12-17 00:35:24   \n",
       "69240  \"It seems like this would be nice done a cell ...   \n",
       "69241   not sure though. still learning the system. P...   \n",
       "69242                                2016-02-11 02:50:31   \n",
       "69243           then it's easy to selectively hide cells   \n",
       "69244               that should be trivial to implement.   \n",
       "69245                                2016-03-19 12:15:18   \n",
       "69246   but it doesn't hide the code when exporting. ...   \n",
       "69247        \"The `hide_code` notebook extension is nice   \n",
       "69248   I created a code hiding plugin for Jupyter a ...   \n",
       "69249                                2016-01-26 01:17:58   \n",
       "69250                                           \"@Saynah   \n",
       "69251                                          @ecollins   \n",
       "69252                                2016-07-25 00:30:44   \n",
       "69253  \"While I do think we can improve the notebook'...   \n",
       "69254   it may make sense to build other tools for th...   \n",
       "69255   we should be able to build support for knitr ...   \n",
       "69256                                2017-03-17 02:23:25   \n",
       "69257   after over 10 years of reading emails from MinRK   \n",
       "69258                                        my brain is   \n",
       "69259                                2016-07-25 19:19:36   \n",
       "69260            thanks for a fantastic product overall!   \n",
       "69261   code) would be a fantastic first step and wou...   \n",
       "69262                \"To separate out the requests a bit   \n",
       "69263         having the ability to hide input cells (ie   \n",
       "69264                                2016-04-05 22:55:03   \n",
       "69265                                     ping @jamiesHQ   \n",
       "69266   code) would be a fantastic first step and wou...   \n",
       "\n",
       "                                                      8   \\\n",
       "0                                                 design   \n",
       "1                                    2015-11-19 00:46:24   \n",
       "2                                    2016-04-25 18:34:49   \n",
       "3      \"Closing as all jupyterlab work is now happeni...   \n",
       "4                                    2016-08-17 21:36:11   \n",
       "5                                     \"that looks great!   \n",
       "6                                    2016-02-10 21:46:03   \n",
       "7                \"Looking good! Back to black term icon?   \n",
       "8                                    2016-04-20 04:01:57   \n",
       "9                                    2016-02-12 18:55:31   \n",
       "10                                      \"`padding: 4px;`   \n",
       "11                                   2016-02-11 19:06:15   \n",
       "12     \"@cameronoelsen I'd like to have a hangout abo...   \n",
       "13                                   2016-02-10 18:28:33   \n",
       "14     \"@cameronoelsen @ellisonbg fyi: the inviso lin...   \n",
       "15                      \"I think this works really well.   \n",
       "16                                   2015-12-07 23:00:23   \n",
       "17                                   2016-04-25 18:34:06   \n",
       "18     \"Also forgot to mention that the header (aka t...   \n",
       "19                                   2016-01-29 23:15:38   \n",
       "20     \"Do you think that flyout items could/should s...   \n",
       "21                                   2016-01-28 02:33:14   \n",
       "22     \"Looks good. Selectively showing the search bo...   \n",
       "23     \"Let's touch base later this week (Wed or late...   \n",
       "24                                   2016-05-08 23:29:02   \n",
       "25     \"And here is the first run on the notebook con...   \n",
       "26                                   2015-12-10 00:22:47   \n",
       "27                                   2015-12-02 22:38:12   \n",
       "28                               \"@cameronoelsen thanks!   \n",
       "29                                   2016-05-11 21:24:40   \n",
       "...                                                  ...   \n",
       "69237     or change to doing the selection another way.\"   \n",
       "69238   or does it require that the package.json be e...   \n",
       "69239           could you advise how this might be fixed   \n",
       "69240   but in the context of using a Dockerfile to i...   \n",
       "69241   lab) (both the extension and the config). I t...   \n",
       "69242                                      preact-compat   \n",
       "69243   proptypes) were moved to bower in hopes of re...   \n",
       "69244                              I don't get it in dev   \n",
       "69245        but I get it if I install the PyPI wheel. \"   \n",
       "69246                                    but same things   \n",
       "69247                       don't push the wheels now. \"   \n",
       "69248                so if you want to remove the shadow   \n",
       "69249                                        go for it.\"   \n",
       "69250   we added an environment variable in jupyter_core   \n",
       "69251   so you can run `JUPYTER_NO_CONFIG=1 jupyter n...   \n",
       "69252   and nuked my main.min.js files to be sure. it...   \n",
       "69253                                        I did twice   \n",
       "69254   but please chime in if anything looks suspici...   \n",
       "69255   so if you can take over my PR that would be r...   \n",
       "69256   so I have to do this often. But the same appl...   \n",
       "69257   that requires too much implicit knowledge fro...   \n",
       "69258   though the linux build on travis seems to ins...   \n",
       "69259   why would jupyter inside my actual conda env ...   \n",
       "69260   clicking on edit or view only open one.... So...   \n",
       "69261   if it is just for the dev version (but not me...   \n",
       "69262   I'm ready to publish 5.0.0 as soon as the blo...   \n",
       "69263   since they are only npm packages but we need ...   \n",
       "69264              so I could use your help with that. \"   \n",
       "69265                               but it got changed.\"   \n",
       "69266                                          ellisonbg   \n",
       "\n",
       "                             ...                          \\\n",
       "0                            ...                           \n",
       "1                            ...                           \n",
       "2                            ...                           \n",
       "3                            ...                           \n",
       "4                            ...                           \n",
       "5                            ...                           \n",
       "6                            ...                           \n",
       "7                            ...                           \n",
       "8                            ...                           \n",
       "9                            ...                           \n",
       "10                           ...                           \n",
       "11                           ...                           \n",
       "12                           ...                           \n",
       "13                           ...                           \n",
       "14                           ...                           \n",
       "15                           ...                           \n",
       "16                           ...                           \n",
       "17                           ...                           \n",
       "18                           ...                           \n",
       "19                           ...                           \n",
       "20                           ...                           \n",
       "21                           ...                           \n",
       "22                           ...                           \n",
       "23                           ...                           \n",
       "24                           ...                           \n",
       "25                           ...                           \n",
       "26                           ...                           \n",
       "27                           ...                           \n",
       "28                           ...                           \n",
       "29                           ...                           \n",
       "...                          ...                           \n",
       "69237                        ...                           \n",
       "69238                        ...                           \n",
       "69239                        ...                           \n",
       "69240                        ...                           \n",
       "69241                        ...                           \n",
       "69242                        ...                           \n",
       "69243                        ...                           \n",
       "69244                        ...                           \n",
       "69245                        ...                           \n",
       "69246                        ...                           \n",
       "69247                        ...                           \n",
       "69248                        ...                           \n",
       "69249                        ...                           \n",
       "69250                        ...                           \n",
       "69251                        ...                           \n",
       "69252                        ...                           \n",
       "69253                        ...                           \n",
       "69254                        ...                           \n",
       "69255                        ...                           \n",
       "69256                        ...                           \n",
       "69257                        ...                           \n",
       "69258                        ...                           \n",
       "69259                        ...                           \n",
       "69260                        ...                           \n",
       "69261                        ...                           \n",
       "69262                        ...                           \n",
       "69263                        ...                           \n",
       "69264                        ...                           \n",
       "69265                        ...                           \n",
       "69266                        ...                           \n",
       "\n",
       "                                                      3   \\\n",
       "0                                               nbgrader   \n",
       "1                                    2016-04-19 20:06:09   \n",
       "2      \"If you click the other \"\"breadcrumbs\"\" links ...   \n",
       "3                                       are those broken   \n",
       "4                                    2016-04-19 20:02:23   \n",
       "5       \"I am running off master from about 3 weeks ago.   \n",
       "6      \"The problem seems to have resolved itself -- ...   \n",
       "7                                    2016-04-24 01:37:06   \n",
       "8                                    2016-04-19 19:59:48   \n",
       "9      \"The URL should have \"\"/nbgrader/dlsun\"\" as pa...   \n",
       "10        that's ok; I'm pretty confident this fixes it.   \n",
       "11                                   2016-04-19 20:27:11   \n",
       "12     \"#489 should fix the issue. If you can test it...   \n",
       "13                                   2017-02-20 20:21:15   \n",
       "14                                                  wow.   \n",
       "15                                                  \"Oof   \n",
       "16                                   2016-04-30 16:56:02   \n",
       "17                             \"I'm running Ubuntu 14.04   \n",
       "18     \"Unless your system is set to the same time zo...   \n",
       "19                                   2016-04-30 17:04:39   \n",
       "20                                   2016-04-30 13:08:09   \n",
       "21     \"Running `py.test` directly on `nbgrader/tests...   \n",
       "22                                   2016-04-30 17:31:19   \n",
       "23                                       \"File location:   \n",
       "24                            or on your local computer?   \n",
       "25                    \"1. Are you doing this in the demo   \n",
       "26                                   2017-03-23 17:12:53   \n",
       "27     \"I think it's reasonable to treat IOPub timeou...   \n",
       "28                                   2015-11-30 20:54:32   \n",
       "29                                   2016-04-30 17:35:37   \n",
       "...                                                  ...   \n",
       "69237   after which I started a new kernel session us...   \n",
       "69238                      0' : 'ipython.restart-kernel'   \n",
       "69239   not a standalone example of extension that works   \n",
       "69240   like Gecko) Chrome/43.0.2357.132 Safari/537.36\"\"   \n",
       "69241                                   but early enough   \n",
       "69242                                           p2cwrite   \n",
       "69243                             \"\"{connection_file}\"\"]   \n",
       "69244   '%s/gradebook.db:/home/instructor/gradebook.d...   \n",
       "69245                                   reboot and retry   \n",
       "69246                                          `.IOLoop`   \n",
       "69247                            c.Class.dict_trait = {}   \n",
       "69248                                           requests   \n",
       "69249                                              data)   \n",
       "69250   '%s:/home/instructor/user-submission/' % (sub...   \n",
       "69251    but it's white characters over white background   \n",
       "69252                            \"\"my_serverextension\"\")   \n",
       "69253                            I'm going to close this   \n",
       "69254                                             config   \n",
       "69255   we would also have to involve the IRB at Cal ...   \n",
       "69256                    i' : 'ipython.interrupt-kernel'   \n",
       "69257   I can adjust my \"\"quick access\"\" icons bar in...   \n",
       "69258   uri='/user/test_pgs_spring2017/assignments/fe...   \n",
       "69259         but really why not just jupyter-input-area   \n",
       "69260   it's both kernelside (in your case IPython)  ...   \n",
       "69261                                 can be an object\"\"   \n",
       "69262                          Action better than Action   \n",
       "69263                                            in part   \n",
       "69264                        host='copano.tamu.edu:8000'   \n",
       "69265                       students='students_course2')   \n",
       "69266                                         apparently   \n",
       "\n",
       "                                                      35  \\\n",
       "0                                                    \"Ok   \n",
       "1                            thanks for the fast answer.   \n",
       "2                                    2015-05-21 18:32:25   \n",
       "3                                    2015-10-09 17:31:20   \n",
       "4                                    2015-12-13 13:01:53   \n",
       "5       seems that this is already a bit better: http...   \n",
       "6                                    2017-01-31 22:14:02   \n",
       "7       we can make it an error when running `lab` or...   \n",
       "8       let's leave the --no-mathjax for one more rel...   \n",
       "9       I think that fixes it then. Please let me kno...   \n",
       "10                                   2015-10-12 11:43:04   \n",
       "11                           I missunderstood the `one`.   \n",
       "12                                   2015-09-16 18:15:11   \n",
       "13                             thanks. I'll look around.   \n",
       "14                                   2016-06-28 14:31:52   \n",
       "15                                  thanks for the tips.   \n",
       "16                                   2017-01-26 13:20:29   \n",
       "17                                   2016-08-11 19:37:30   \n",
       "18          that's because this logic is faulty as well:   \n",
       "19                                   2016-05-06 22:45:28   \n",
       "20                   so that will be really hard to fix.   \n",
       "21                                   2016-04-05 17:45:28   \n",
       "22                         let's see if people complain.   \n",
       "23                                                merged   \n",
       "24                                   2016-04-01 12:56:51   \n",
       "25                                      i found solution   \n",
       "26      but still think that it's some problem with n...   \n",
       "27      maybe as part of a separate kernel or iPython...   \n",
       "28      I understand this may not fit in development ...   \n",
       "29                                   2016-03-01 13:01:32   \n",
       "...                                                  ...   \n",
       "69237                      @jhamrick ready for review :)   \n",
       "69238                                2017-01-07 08:05:35   \n",
       "69239                   \"Got back from holiday yesterday   \n",
       "69240                so I will be able to work on this.\"   \n",
       "69241                                2017-01-12 22:44:07   \n",
       "69242  \"At the moment only an error (with the `strict...   \n",
       "69243                      which I'm not a real fan of.\"   \n",
       "69244   thanks! One thing that might be useful to inc...   \n",
       "69245                              \"This is really great   \n",
       "69246                                2016-12-22 17:27:32   \n",
       "69247  \"@lgpage Do you think you'll have time to work...   \n",
       "69248                                2017-01-07 02:19:32   \n",
       "69249   I just want to know whether I should move it ...   \n",
       "69250                                2017-01-25 14:47:22   \n",
       "69251                                2017-03-28 20:17:28   \n",
       "69252                                2017-03-29 18:08:35   \n",
       "69253   so my find-replace throughout the notebook co...   \n",
       "69254                     \"That's precisely why I did it   \n",
       "69255                                2016-12-22 15:14:46   \n",
       "69256                                2017-01-15 20:20:12   \n",
       "69257                                2017-02-20 19:23:13   \n",
       "69258                                2017-02-08 17:59:53   \n",
       "69259                                2017-01-23 20:43:47   \n",
       "69260  Using a conda env. Double checking now to see ...   \n",
       "69261                                2017-01-23 20:49:34   \n",
       "69262                        \"Hmm can't reproduce either   \n",
       "69263   seems I must have messed something up somewhe...   \n",
       "69264                                2017-01-23 20:22:52   \n",
       "69265                              does it also happen?\"   \n",
       "69266              \"If you install the release candidate   \n",
       "\n",
       "                                                      13  \\\n",
       "0                                              takluyver   \n",
       "1       so it doesn't make sense to embed them into n...   \n",
       "2       so they all see the same set of kernels. But ...   \n",
       "3       and it appears to be working as intended. Ret...   \n",
       "4                                                 IIRC.\"   \n",
       "5                      and +1 to collapsing $HOME to ~.\"   \n",
       "6       I'm not sure what you mean about the 'full sy...   \n",
       "7       that would help a lot of things. Selecting a ...   \n",
       "8                             not application-specific.\"   \n",
       "9           rebuild it and see the changes take effect.\"   \n",
       "10      which seems to work correctly. I can change t...   \n",
       "11      in the absence of a separate mechanism to dea...   \n",
       "12      people are using kernelspecs to represent env...   \n",
       "13      and the names are therefore not globally mean...   \n",
       "14      and push kernelspecs back to mostly represent...   \n",
       "15      and keep thinking about it for the future. I ...   \n",
       "16                     I think we should do this for 5.0   \n",
       "17      it may make it harder to exploit flaws in oth...   \n",
       "18      as even if it's a poor security measure by it...   \n",
       "19      but I'd consider that a fallback if we can't ...   \n",
       "20                                         it's annoying   \n",
       "21                                     and if it doesn't   \n",
       "22      ~no-one will use it. The notebook tour (which...   \n",
       "23      to avoid annoying people) was broken for quit...   \n",
       "24      the current setup is almost perfect: if I del...   \n",
       "25      I get a error message to chose a kernel and t...   \n",
       "26      please don't kill my local workflow: I use on...   \n",
       "27      because nbconvert does't see the environment ...   \n",
       "28      but right now I almost never use nbconvert to...   \n",
       "29      but our wheels don't install kernelspecs. I h...   \n",
       "...                                                  ...   \n",
       "69237                  other than patches to pip itself.   \n",
       "69238  \"I'm pretty sure this is pip reporting the ver...   \n",
       "69239                                2016-07-06 11:53:35   \n",
       "69240                                2015-10-09 12:23:42   \n",
       "69241                                       \"Thanks min!   \n",
       "69242                                2015-10-09 15:02:11   \n",
       "69243                                2015-12-15 05:01:40   \n",
       "69244                                                873   \n",
       "69245                                2015-12-15 13:10:56   \n",
       "69246  \"Thank you so much @minrk. Ended up rekicking ...   \n",
       "69247                                2015-05-21 13:34:57   \n",
       "69248                                2015-05-21 05:02:53   \n",
       "69249                                2016-09-20 11:12:55   \n",
       "69250  \"I guess you refer to using a Notebook server ...   \n",
       "69251                                2015-08-26 08:25:25   \n",
       "69252                                2015-08-26 08:25:04   \n",
       "69253  \"Though anyone can take over for an easy bug fix.   \n",
       "69254                                2016-03-04 11:16:08   \n",
       "69255                                               1170   \n",
       "69256                \"@Carreau @minrk Can you reproduce?   \n",
       "69257                                2016-09-12 17:07:38   \n",
       "69258  \"@captainsafia it might also be worth testing ...   \n",
       "69259                                2015-11-30 23:58:56   \n",
       "69260                                2015-10-08 10:38:07   \n",
       "69261                                2015-10-08 11:43:38   \n",
       "69262                     \"Fixed in jupyter-client 4.1.1   \n",
       "69263                                2016-08-19 09:35:03   \n",
       "69264                                               1692   \n",
       "69265                                               1350   \n",
       "69266                                2016-04-14 10:50:20   \n",
       "\n",
       "                                                      18  \\\n",
       "0                                                gnestor   \n",
       "1             but it's stopping the tests from running.\"   \n",
       "2                           which I'll work on shortly.\"   \n",
       "3       so maybe they didn't run 😮. I did receive a ...   \n",
       "4               I have too much in my pipeline already.\"   \n",
       "5       you do make a really good point about tables ...   \n",
       "6       do make sure to update travis and `jstest.py`...   \n",
       "7                           rather than the global one.\"   \n",
       "8                                     though: in general   \n",
       "9       our javascript tests can be run against an *i...   \n",
       "10      npm will add `node_modules/.bin` to the path)...   \n",
       "11                               if we run an npm script   \n",
       "12                                   that works for me.\"   \n",
       "13      as far as I can tell. That's the only reason ...   \n",
       "14        meaning that as soon as an output is available   \n",
       "15                this raises **huge** security concerns   \n",
       "16                 dynamically imports it using SystemJS   \n",
       "17      and renders it using using that package (whic...   \n",
       "18      the renderer fetches the required package for...   \n",
       "19      but it demonstrates how renderers could be mo...   \n",
       "20      a user would not be required to install an ex...   \n",
       "21      have renderers say they can handle specific m...   \n",
       "22      but it has smelled a bit off to me too to iso...   \n",
       "23      but then let the renderers change the state f...   \n",
       "24                        but it still feels a bit off.\"   \n",
       "25      though. A properly configured IFrame should p...   \n",
       "26                                   2017-02-09 21:14:33   \n",
       "27                         Isn't this a private package?   \n",
       "28                                   2017-02-11 01:16:24   \n",
       "29     @minrk Hmmm. So users who have installed the n...   \n",
       "...                                                  ...   \n",
       "69237                      this looks fine to me. @minrk   \n",
       "69238                                   \"Thanks @sethrj    \n",
       "69239                                2016-06-13 10:15:06   \n",
       "69240                                2016-06-12 11:45:06   \n",
       "69241  \"@jasongrout do you mind if I close temporaril...   \n",
       "69242                                2015-09-14 00:01:13   \n",
       "69243  \"Well it looked like comms/widgets were broken...   \n",
       "69244   so this was my best guess. Might be something...   \n",
       "69245                                2015-04-16 05:13:43   \n",
       "69246  \"I have witnessed a [very long discussion](htt...   \n",
       "69247                                and block math uses   \n",
       "69248                                2017-01-17 20:27:43   \n",
       "69249                                2016-10-24 09:17:47   \n",
       "69250  \"- https://github.com/jupyter/nbformat/blob/ma...   \n",
       "69251                                2017-02-14 03:02:42   \n",
       "69252          \"Right now it's not automatically created   \n",
       "69253                                2017-03-30 21:08:13   \n",
       "69254            it was just specced out for the format.   \n",
       "69255                                2017-03-31 13:17:00   \n",
       "69256    \"Very early versions of the notebook format did   \n",
       "69257                                             but...   \n",
       "69258   we should be in good shape moving forward for...   \n",
       "69259  \"I'd definitely _like_ to drop the legacy mult...   \n",
       "69260                                2016-10-09 21:05:55   \n",
       "69261                                2016-10-09 19:53:00   \n",
       "69262  \"/cc @aleury fun problems in JSON land for nbf...   \n",
       "69263                                2016-10-17 03:44:18   \n",
       "69264                                2016-11-17 18:52:00   \n",
       "69265                                2016-11-17 12:31:24   \n",
       "69266                                           nbformat   \n",
       "\n",
       "                                                      25  \\\n",
       "0                                    2015-11-05 23:09:27   \n",
       "1                                                    708   \n",
       "2                                    2015-12-15 01:01:42   \n",
       "3       thanks so much folks! We are indeed getting b...   \n",
       "4                                    2015-12-14 22:21:25   \n",
       "5                              I really appreciate it :)   \n",
       "6       I have to work on some other stuff the rest o...   \n",
       "7                                    2015-11-26 00:37:38   \n",
       "8                                    2015-12-14 20:31:05   \n",
       "9      \"@fperez: Good point and something I've been m...   \n",
       "10                                   2015-11-21 12:33:21   \n",
       "11                                          \"like that ?   \n",
       "12                                   2015-11-25 05:20:37   \n",
       "13                                           \"Brian's C)   \n",
       "14                                   2015-11-24 18:40:29   \n",
       "15     \"> I am confused about your statement that mul...   \n",
       "16     \"> still quite a bit of work to clean up the i...   \n",
       "17                                   2015-11-25 12:33:45   \n",
       "18       \"> to do that right we would need to change the   \n",
       "19                                   2015-11-22 15:33:54   \n",
       "20                                   2015-11-25 06:05:42   \n",
       "21                                           \"Brian's D)   \n",
       "22     \"<img width=\"\"188\"\" alt=\"\"screen shot 2015-11-...   \n",
       "23                                   2015-11-06 06:21:52   \n",
       "24     \"The other thing to keep in mind is that the b...   \n",
       "25                                   2015-11-23 18:58:25   \n",
       "26                                   2015-11-23 18:55:09   \n",
       "27                                  \"Lots of thoughts...   \n",
       "28     \"<img width=\"\"984\"\" alt=\"\"screen shot 2015-11-...   \n",
       "29                                   2015-11-24 09:36:38   \n",
       "...                                                  ...   \n",
       "69237                                2016-03-17 03:48:17   \n",
       "69238  \"> getting the various debug flags (--log-leve...   \n",
       "69239                                2016-03-11 05:42:22   \n",
       "69240                                             \" :+1:   \n",
       "69241                                2016-02-29 21:31:31   \n",
       "69242                              \"DO not seem to work:   \n",
       "69243  \"> do you remember why you used verbose=1 in i...   \n",
       "69244                                2016-03-01 09:10:49   \n",
       "69245                                2016-03-15 17:37:58   \n",
       "69246            \"From today's video meeting discussion:   \n",
       "69247  \"New PR up: https://github.com/ellisonbg/noteb...   \n",
       "69248                                2016-03-10 12:50:30   \n",
       "69249  \">  I opened ellisonbg#22 to fix the \"\"no dots...   \n",
       "69250                                2016-03-18 16:21:27   \n",
       "69251                                2016-03-14 17:50:23   \n",
       "69252  \"> If the source is a dir a dir symlink is mad...   \n",
       "69253                              \"High level question:   \n",
       "69254                                2016-02-25 12:23:09   \n",
       "69255                                2016-03-10 15:45:59   \n",
       "69256                                         \"Question:   \n",
       "69257                                2016-03-26 14:04:02   \n",
       "69258  \":tada: :cake: Welcome back to cali @minrk (an...   \n",
       "69259  \"New PR : https://github.com/ellisonbg/noteboo...   \n",
       "69260                                2016-03-15 15:10:50   \n",
       "69261  \"I reran the experiment from https://github.co...   \n",
       "69262                                2016-03-15 13:10:16   \n",
       "69263   the package dicts could have an enable: True/...   \n",
       "69264                                2016-03-08 22:22:24   \n",
       "69265                                2015-12-17 06:34:37   \n",
       "69266                                                879   \n",
       "\n",
       "                                                      2   \\\n",
       "0                                                Carreau   \n",
       "1       if someone can kindly point me in the right d...   \n",
       "2       we should inject dir='ltr' by default on the ...   \n",
       "3                                        security-wise.\"   \n",
       "4       ctrl on windows/linux. Meta is Alt/Option (II...   \n",
       "5                                 awaiting 5.0 release.\"   \n",
       "6       I'm also fine with reopening and merging #436...   \n",
       "7                                     feel fre to ask. \"   \n",
       "8       this suggested (to me) that all the functions...   \n",
       "9       like what I did on https://gitlab.com/gitlab-...   \n",
       "10      I'm pretty sure that's way too much to be hap...   \n",
       "11                                 let me know. Thanks.\"   \n",
       "12      let me know if the welcome message is alright...   \n",
       "13                     so I assume he monitors as well.\"   \n",
       "14      and re-print the message in the JS console if...   \n",
       "15                 but let's see what we can do here...\"   \n",
       "16                          if I understand it correctly   \n",
       "17      doesn't require the double slash: https://too...   \n",
       "18      and add options to launch a browser and to co...   \n",
       "19      but maybe that's OK for a tool with much more...   \n",
       "20      we'll see if we can improve the instruction. ...   \n",
       "21               so the instruction are often lacking. \"   \n",
       "22                            my bugs aren't \"\"special\"\"   \n",
       "23                   sorry again if it seemed that way.\"   \n",
       "24      then use that to load the session in a browse...   \n",
       "25      and it was really satisfactory to be able to ...   \n",
       "26                                       if nothing else   \n",
       "27                    so we understand what's going on.\"   \n",
       "28                  but from the browser's point of view   \n",
       "29      those are different domains. We [can't set a ...   \n",
       "...                                                  ...   \n",
       "69237                                2015-09-09 20:58:56   \n",
       "69238                                2015-09-10 23:26:53   \n",
       "69239                      \"I think you can submit a PR.   \n",
       "69240  \"You can see related discussion like https://g...   \n",
       "69241                                2015-12-08 15:01:52   \n",
       "69242                                2015-12-07 22:42:29   \n",
       "69243                                                791   \n",
       "69244                                               1328   \n",
       "69245                                2016-04-10 14:34:23   \n",
       "69246                                2016-04-10 16:07:47   \n",
       "69247                             \"Thanks @SylvainCorlay   \n",
       "69248                                2016-09-20 11:12:55   \n",
       "69249  \"I guess you refer to using a Notebook server ...   \n",
       "69250                                2016-09-12 17:07:38   \n",
       "69251                \"@Carreau @minrk Can you reproduce?   \n",
       "69252                                2015-11-30 23:58:56   \n",
       "69253  \"@captainsafia it might also be worth testing ...   \n",
       "69254                                2015-10-09 15:02:11   \n",
       "69255                                       \"Thanks min!   \n",
       "69256                                2015-10-09 12:23:42   \n",
       "69257                                               1692   \n",
       "69258                                2016-08-19 09:35:03   \n",
       "69259  \"Though anyone can take over for an easy bug fix.   \n",
       "69260                                2015-08-26 08:25:25   \n",
       "69261                                2015-08-26 08:25:04   \n",
       "69262                                2015-10-08 10:38:07   \n",
       "69263                                2015-10-08 11:43:38   \n",
       "69264                     \"Fixed in jupyter-client 4.1.1   \n",
       "69265                                2016-04-14 10:50:20   \n",
       "69266                                               1350   \n",
       "\n",
       "                                                      26  \\\n",
       "0                                    2015-12-17 06:34:37   \n",
       "1                                                    879   \n",
       "2                                    2016-03-15 13:10:16   \n",
       "3      \"I reran the experiment from https://github.co...   \n",
       "4                                    2016-03-15 15:10:50   \n",
       "5      \"New PR : https://github.com/ellisonbg/noteboo...   \n",
       "6      \":tada: :cake: Welcome back to cali @minrk (an...   \n",
       "7                                    2016-03-26 14:04:02   \n",
       "8                                    2016-03-10 15:45:59   \n",
       "9                                             \"Question:   \n",
       "10                                 \"High level question:   \n",
       "11                                   2016-02-25 12:23:09   \n",
       "12     \"> If the source is a dir a dir symlink is mad...   \n",
       "13                                   2016-03-14 17:50:23   \n",
       "14                                   2016-03-18 16:21:27   \n",
       "15     \">  I opened ellisonbg#22 to fix the \"\"no dots...   \n",
       "16     \"New PR up: https://github.com/ellisonbg/noteb...   \n",
       "17                                   2016-03-10 12:50:30   \n",
       "18               \"From today's video meeting discussion:   \n",
       "19                                   2016-03-15 17:37:58   \n",
       "20     \"> do you remember why you used verbose=1 in i...   \n",
       "21                                   2016-03-01 09:10:49   \n",
       "22                                   2016-02-29 21:31:31   \n",
       "23                                 \"DO not seem to work:   \n",
       "24                                   2016-03-11 05:42:22   \n",
       "25                                                \" :+1:   \n",
       "26                                   2016-03-17 03:48:17   \n",
       "27     \"> getting the various debug flags (--log-leve...   \n",
       "28                                   2016-03-07 18:05:10   \n",
       "29                                   \"re:baseball:ing...   \n",
       "...                                                  ...   \n",
       "69237  \"I think that it is for both. I opened another...   \n",
       "69238                                2015-08-26 08:25:04   \n",
       "69239  \"Though anyone can take over for an easy bug fix.   \n",
       "69240                                2015-08-26 08:25:25   \n",
       "69241  \"Have you tried the 'Running' tab in the dashb...   \n",
       "69242                                2016-03-08 21:35:09   \n",
       "69243                          \"Thanks for the feedback.   \n",
       "69244                                2016-03-08 22:17:01   \n",
       "69245                                2015-12-10 06:35:32   \n",
       "69246                            \"I'll give this a stab.   \n",
       "69247                                2015-12-10 19:53:15   \n",
       "69248           \"@captainsafia so I can find this later.   \n",
       "69249                                2015-10-08 11:43:38   \n",
       "69250                                2015-10-08 10:38:07   \n",
       "69251                     \"Fixed in jupyter-client 4.1.1   \n",
       "69252                \"@Carreau @minrk Can you reproduce?   \n",
       "69253                                2016-09-12 17:07:38   \n",
       "69254  \"@captainsafia it might also be worth testing ...   \n",
       "69255                                2015-11-30 23:58:56   \n",
       "69256                  other than patches to pip itself.   \n",
       "69257  \"I'm pretty sure this is pip reporting the ver...   \n",
       "69258                                2016-07-06 11:53:35   \n",
       "69259  \"I guess you refer to using a Notebook server ...   \n",
       "69260                                2016-09-20 11:12:55   \n",
       "69261                                               1692   \n",
       "69262                                2016-08-19 09:35:03   \n",
       "69263                                2016-03-04 11:16:08   \n",
       "69264                                               1170   \n",
       "69265                                2016-04-14 10:50:20   \n",
       "69266                                               1350   \n",
       "\n",
       "                                                      7   \\\n",
       "0                                              ellisonbg   \n",
       "1                                   but it got changed.\"   \n",
       "2                  so I could use your help with that. \"   \n",
       "3       since they are only npm packages but we need ...   \n",
       "4       I'm ready to publish 5.0.0 as soon as the blo...   \n",
       "5       if it is just for the dev version (but not me...   \n",
       "6       clicking on edit or view only open one.... So...   \n",
       "7       why would jupyter inside my actual conda env ...   \n",
       "8       though the linux build on travis seems to ins...   \n",
       "9       that requires too much implicit knowledge fro...   \n",
       "10      so I have to do this often. But the same appl...   \n",
       "11      so if you can take over my PR that would be r...   \n",
       "12      but please chime in if anything looks suspici...   \n",
       "13                                           I did twice   \n",
       "14      and nuked my main.min.js files to be sure. it...   \n",
       "15      so you can run `JUPYTER_NO_CONFIG=1 jupyter n...   \n",
       "16      we added an environment variable in jupyter_core   \n",
       "17                   so if you want to remove the shadow   \n",
       "18                                           go for it.\"   \n",
       "19                                       but same things   \n",
       "20                          don't push the wheels now. \"   \n",
       "21                                 I don't get it in dev   \n",
       "22           but I get it if I install the PyPI wheel. \"   \n",
       "23      proptypes) were moved to bower in hopes of re...   \n",
       "24                                         preact-compat   \n",
       "25      lab) (both the extension and the config). I t...   \n",
       "26      but in the context of using a Dockerfile to i...   \n",
       "27              could you advise how this might be fixed   \n",
       "28      or does it require that the package.json be e...   \n",
       "29      so we can't select with e.g. `[data-path]`. I...   \n",
       "...                                                  ...   \n",
       "69237                                2016-04-30 18:14:03   \n",
       "69238  \"Yeah this issue is rather weird. Travis == Ub...   \n",
       "69239   so I would expect running the same set of com...   \n",
       "69240                                2016-04-30 17:35:37   \n",
       "69241   but would it not be a good idea to leverage `...   \n",
       "69242                                 \"Just an idea here   \n",
       "69243                                2016-04-30 17:31:19   \n",
       "69244                                    \"File location:   \n",
       "69245  \"Running `py.test` directly on `nbgrader/tests...   \n",
       "69246                                2016-04-30 13:08:09   \n",
       "69247                                2016-04-30 17:04:39   \n",
       "69248  \"Unless your system is set to the same time zo...   \n",
       "69249                          \"I'm running Ubuntu 14.04   \n",
       "69250                                2016-04-30 16:56:02   \n",
       "69251                                               \"Oof   \n",
       "69252                                               wow.   \n",
       "69253                                2017-02-20 20:21:15   \n",
       "69254     that's ok; I'm pretty confident this fixes it.   \n",
       "69255  \"#489 should fix the issue. If you can test it...   \n",
       "69256                                2016-04-19 20:27:11   \n",
       "69257                                2016-04-19 19:59:48   \n",
       "69258  \"The URL should have \"\"/nbgrader/dlsun\"\" as pa...   \n",
       "69259                                2016-04-24 01:37:06   \n",
       "69260  \"The problem seems to have resolved itself -- ...   \n",
       "69261   \"I am running off master from about 3 weeks ago.   \n",
       "69262                                2016-04-19 20:02:23   \n",
       "69263  \"If you click the other \"\"breadcrumbs\"\" links ...   \n",
       "69264                                2016-04-19 20:06:09   \n",
       "69265                                   are those broken   \n",
       "69266                                           nbgrader   \n",
       "\n",
       "                                                      4   \\\n",
       "0                                                  minrk   \n",
       "1                             I think I see the bug ...\"   \n",
       "2       we can rely on the env being active and use `...   \n",
       "3       which required a few small bugfixes not relat...   \n",
       "4                          but that can be all in docs.\"   \n",
       "5                                              markup).\"   \n",
       "6                                       not a big deal.\"   \n",
       "7                             which I'm working on now.\"   \n",
       "8       but I tried disabling them: it does not chang...   \n",
       "9                            only master at the moment.\"   \n",
       "10      but further reviews and ideas are always welc...   \n",
       "11      I'm unsure. I'd lean towards authenticated to...   \n",
       "12      so I'll let people who hopefully do have a lo...   \n",
       "13      we should allow the Authorization header to b...   \n",
       "14                          which is what this PR does.\"   \n",
       "15      rather than checking the PATH again seems lik...   \n",
       "16         in which case interpreting 'python' as itself   \n",
       "17          only ipyparallel should actually be affected   \n",
       "18                            so I'm not too concerned.\"   \n",
       "19      sending a JSON body for requests that take no...   \n",
       "20                               that would be redundant   \n",
       "21                            and looking around at code   \n",
       "22                                      but semantically   \n",
       "23      it's nothing like the other things that usual...   \n",
       "24                which are about editing the document.\"   \n",
       "25      the error message is either `Error 503 No hea...   \n",
       "26      on more or less random order. Also after seve...   \n",
       "27      it again gives an error if I add `?flush_cach...   \n",
       "28              there are still spuriously failing tests   \n",
       "29                                        at least! 😄 \"   \n",
       "...                                                  ...   \n",
       "69237                                2017-03-23 22:34:17   \n",
       "69238  \"@jhamrick This is on my local computer. The c...   \n",
       "69239   I ran them from the notebook terminal. The ou...   \n",
       "69240                                2016-04-30 17:31:19   \n",
       "69241                                    \"File location:   \n",
       "69242  \"Running `py.test` directly on `nbgrader/tests...   \n",
       "69243                                2016-04-30 13:08:09   \n",
       "69244  \"Unless your system is set to the same time zo...   \n",
       "69245                                2016-04-30 17:04:39   \n",
       "69246                          \"I'm running Ubuntu 14.04   \n",
       "69247                                2016-04-30 16:56:02   \n",
       "69248                 \"1. Are you doing this in the demo   \n",
       "69249                         or on your local computer?   \n",
       "69250                                2017-03-23 17:12:53   \n",
       "69251                                               wow.   \n",
       "69252                                               \"Oof   \n",
       "69253                                2017-02-20 20:21:15   \n",
       "69254                                2016-04-19 20:27:11   \n",
       "69255  \"#489 should fix the issue. If you can test it...   \n",
       "69256     that's ok; I'm pretty confident this fixes it.   \n",
       "69257                                2016-04-19 19:59:48   \n",
       "69258  \"The URL should have \"\"/nbgrader/dlsun\"\" as pa...   \n",
       "69259  \"The problem seems to have resolved itself -- ...   \n",
       "69260                                2016-04-24 01:37:06   \n",
       "69261                                2016-04-19 20:02:23   \n",
       "69262   \"I am running off master from about 3 weeks ago.   \n",
       "69263                                   are those broken   \n",
       "69264                                2016-04-19 20:06:09   \n",
       "69265  \"If you click the other \"\"breadcrumbs\"\" links ...   \n",
       "69266                                           nbgrader   \n",
       "\n",
       "                                                      1   \n",
       "0                                                         \n",
       "1                                             apparently  \n",
       "2                           students='students_course2')  \n",
       "3                            host='copano.tamu.edu:8000'  \n",
       "4                                                in part  \n",
       "5                              Action better than Action  \n",
       "6                                     can be an object\"\"  \n",
       "7       it's both kernelside (in your case IPython)  ...  \n",
       "8             but really why not just jupyter-input-area  \n",
       "9       uri='/user/test_pgs_spring2017/assignments/fe...  \n",
       "10      I can adjust my \"\"quick access\"\" icons bar in...  \n",
       "11                       i' : 'ipython.interrupt-kernel'  \n",
       "12      we would also have to involve the IRB at Cal ...  \n",
       "13                                                config  \n",
       "14                               I'm going to close this  \n",
       "15                               \"\"my_serverextension\"\")  \n",
       "16       but it's white characters over white background  \n",
       "17      '%s:/home/instructor/user-submission/' % (sub...  \n",
       "18                                                 data)  \n",
       "19                                              requests  \n",
       "20                               c.Class.dict_trait = {}  \n",
       "21                                             `.IOLoop`  \n",
       "22                                      reboot and retry  \n",
       "23      '%s/gradebook.db:/home/instructor/gradebook.d...  \n",
       "24                                \"\"{connection_file}\"\"]  \n",
       "25                                              p2cwrite  \n",
       "26                                      but early enough  \n",
       "27      like Gecko) Chrome/43.0.2357.132 Safari/537.36\"\"  \n",
       "28      not a standalone example of extension that works  \n",
       "29                         0' : 'ipython.restart-kernel'  \n",
       "...                                                  ...  \n",
       "69237                      \"I think you can submit a PR.  \n",
       "69238                                                410  \n",
       "69239                                2015-09-09 20:58:56  \n",
       "69240                                                791  \n",
       "69241  \"You can see related discussion like https://g...  \n",
       "69242                                2015-12-08 15:01:52  \n",
       "69243                                2015-12-07 22:42:29  \n",
       "69244                                2016-04-10 14:34:23  \n",
       "69245                                2016-04-10 16:07:47  \n",
       "69246                             \"Thanks @SylvainCorlay  \n",
       "69247                                               1328  \n",
       "69248  \"I guess you refer to using a Notebook server ...  \n",
       "69249                                2016-09-20 11:12:55  \n",
       "69250                                2015-10-09 12:23:42  \n",
       "69251                                2015-10-09 15:02:11  \n",
       "69252                                       \"Thanks min!  \n",
       "69253                                2016-09-12 17:07:38  \n",
       "69254                \"@Carreau @minrk Can you reproduce?  \n",
       "69255  \"@captainsafia it might also be worth testing ...  \n",
       "69256                                2015-11-30 23:58:56  \n",
       "69257                                2016-08-19 09:35:03  \n",
       "69258                                               1692  \n",
       "69259  \"Though anyone can take over for an easy bug fix.  \n",
       "69260                                2015-08-26 08:25:25  \n",
       "69261                                2015-08-26 08:25:04  \n",
       "69262                                2015-10-08 10:38:07  \n",
       "69263                                2015-10-08 11:43:38  \n",
       "69264                     \"Fixed in jupyter-client 4.1.1  \n",
       "69265                                2016-04-14 10:50:20  \n",
       "69266                                               1350  \n",
       "\n",
       "[69267 rows x 100 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# this function will show you the axes on which a particular subreddit scores the highest/lowest\n",
    "def pickOutComment(item):\n",
    "    sorted_axes = embedded_coords[list(comments).index(item)].argsort()[::-1]\n",
    "    return pd.DataFrame(comments[np.argsort(embedded_coords[:,sorted_axes], axis=0)[::-1]], columns=sorted_axes)\n",
    "\n",
    "pickOutComment(\"notebook\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  }
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