25.2b_Take_Home_Challenge.ipynb

{
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   "cell_type": "markdown",
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   "source": [
    "# Relax Challenge \n",
    "\n",
    "**'takehome_users'**:\n",
    "- object_id: the user's id\n",
    "- creation_time: when they created their account\n",
    "- name: the user's name\n",
    "- email: email address\n",
    "- creation_source: how their account was created. This takes on onevof 5 values:\n",
    "    - PERSONAL_PROJECTS: invited to join another user's personal workspace\n",
    "    - GUEST_INVITE: invited to an organization as a guest (limited permissions)\n",
    "    - ORG_INVITE: invited to an organization (as a full member)\n",
    "    - SIGNUP: signed up via the website\n",
    "    - SIGNUP_GOOGLE_AUTH: signed up using Google Authentication (using a Google email account for their login id)\n",
    "- last_session_creation_time: unix timestamp of last login\n",
    "- opted_in_to_mailing_list: whether they have opted into receiving marketing emails\n",
    "- enabled_for_marketing_drip: whether they are on the regular marketing email drip\n",
    "- org_id: the organization (group of users) they belong to\n",
    "- invited_by_user_id: which user invited them to join (if applicable).\n",
    "\n",
    "**'takehome_user_engagement'**: has a row for each day that a user logged into the product.\n",
    "\n",
    "Defining an 'adopted user' as a user who has logged into the product on three separate days in at least one seven­day period, identify which factors predict future user adoption."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 643,
   "id": "2e10e223-e7a5-4220-9fcc-edc5cd0b3f6e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Load libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import accuracy_score, confusion_matrix, classification_report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 644,
   "id": "a0c9092d-909a-43b1-9a17-d8b5ec804484",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Read in data\n",
    "df = pd.read_csv('takehome_users.csv', encoding='latin1') # utf-8 encoding threw the following error:\n",
    "                                                          # UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe6 in position 11: invalid continuation byte"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 645,
   "id": "538c3831-7a37-4bd4-bb54-bd45bdc59a0f",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "df2 = pd.read_csv('takehome_user_engagement.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 646,
   "id": "848fdf73-6816-4783-a8e0-0ea46229d378",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>object_id</th>\n",
       "      <th>creation_time</th>\n",
       "      <th>name</th>\n",
       "      <th>email</th>\n",
       "      <th>creation_source</th>\n",
       "      <th>last_session_creation_time</th>\n",
       "      <th>opted_in_to_mailing_list</th>\n",
       "      <th>enabled_for_marketing_drip</th>\n",
       "      <th>org_id</th>\n",
       "      <th>invited_by_user_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2014-04-22 03:53:30</td>\n",
       "      <td>Clausen August</td>\n",
       "      <td>AugustCClausen@yahoo.com</td>\n",
       "      <td>GUEST_INVITE</td>\n",
       "      <td>1.398139e+09</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
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       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2013-11-15 03:45:04</td>\n",
       "      <td>Poole Matthew</td>\n",
       "      <td>MatthewPoole@gustr.com</td>\n",
       "      <td>ORG_INVITE</td>\n",
       "      <td>1.396238e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>316.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2013-03-19 23:14:52</td>\n",
       "      <td>Bottrill Mitchell</td>\n",
       "      <td>MitchellBottrill@gustr.com</td>\n",
       "      <td>ORG_INVITE</td>\n",
       "      <td>1.363735e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>94</td>\n",
       "      <td>1525.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2013-05-21 08:09:28</td>\n",
       "      <td>Clausen Nicklas</td>\n",
       "      <td>NicklasSClausen@yahoo.com</td>\n",
       "      <td>GUEST_INVITE</td>\n",
       "      <td>1.369210e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5151.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2013-01-17 10:14:20</td>\n",
       "      <td>Raw Grace</td>\n",
       "      <td>GraceRaw@yahoo.com</td>\n",
       "      <td>GUEST_INVITE</td>\n",
       "      <td>1.358850e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>193</td>\n",
       "      <td>5240.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "   object_id        creation_time               name  \\\n",
       "0          1  2014-04-22 03:53:30     Clausen August   \n",
       "1          2  2013-11-15 03:45:04      Poole Matthew   \n",
       "2          3  2013-03-19 23:14:52  Bottrill Mitchell   \n",
       "3          4  2013-05-21 08:09:28    Clausen Nicklas   \n",
       "4          5  2013-01-17 10:14:20          Raw Grace   \n",
       "\n",
       "                        email creation_source  last_session_creation_time  \\\n",
       "0    AugustCClausen@yahoo.com    GUEST_INVITE                1.398139e+09   \n",
       "1      MatthewPoole@gustr.com      ORG_INVITE                1.396238e+09   \n",
       "2  MitchellBottrill@gustr.com      ORG_INVITE                1.363735e+09   \n",
       "3   NicklasSClausen@yahoo.com    GUEST_INVITE                1.369210e+09   \n",
       "4          GraceRaw@yahoo.com    GUEST_INVITE                1.358850e+09   \n",
       "\n",
       "   opted_in_to_mailing_list  enabled_for_marketing_drip  org_id  \\\n",
       "0                         1                           0      11   \n",
       "1                         0                           0       1   \n",
       "2                         0                           0      94   \n",
       "3                         0                           0       1   \n",
       "4                         0                           0     193   \n",
       "\n",
       "   invited_by_user_id  \n",
       "0             10803.0  \n",
       "1               316.0  \n",
       "2              1525.0  \n",
       "3              5151.0  \n",
       "4              5240.0  "
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     "execution_count": 646,
     "metadata": {},
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   "source": [
    "# Examine data\n",
    "df.head()"
   ]
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   "cell_type": "code",
   "execution_count": 647,
   "id": "881e36e2-805f-470f-acfe-d42f5771cbc9",
   "metadata": {
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   "outputs": [
    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>time_stamp</th>\n",
       "      <th>user_id</th>\n",
       "      <th>visited</th>\n",
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      "text/plain": [
       "            time_stamp  user_id  visited\n",
       "0  2014-04-22 03:53:30        1        1\n",
       "1  2013-11-15 03:45:04        2        1\n",
       "2  2013-11-29 03:45:04        2        1\n",
       "3  2013-12-09 03:45:04        2        1\n",
       "4  2013-12-25 03:45:04        2        1"
      ]
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     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "df2.head()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 648,
   "id": "83c24733-6ba8-4080-a0f1-0048c440e771",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 207917 entries, 0 to 207916\n",
      "Data columns (total 3 columns):\n",
      " #   Column      Non-Null Count   Dtype \n",
      "---  ------      --------------   ----- \n",
      " 0   time_stamp  207917 non-null  object\n",
      " 1   user_id     207917 non-null  int64 \n",
      " 2   visited     207917 non-null  int64 \n",
      "dtypes: int64(2), object(1)\n",
      "memory usage: 4.8+ MB\n"
     ]
    }
   ],
   "source": [
    "df2.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 649,
   "id": "cfa1dda1-7dcd-4383-bbc2-1605e67ee259",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "time_stamp    207220\n",
       "user_id         8823\n",
       "visited            1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 649,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 650,
   "id": "f3906410-e2a7-4ade-821a-f4973d5cef83",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Convert 'time_stamp' to datetime\n",
    "df2['time_stamp'] = pd.to_datetime(df2['time_stamp'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 651,
   "id": "f880bf9e-f33d-4f7a-963f-97eaa56e3c20",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Aggregate 'time_stamp' by week and indicate if each user logged in that week\n",
    "weekly_logins = df2.groupby('user_id').resample('7D', on='time_stamp').count().rename(columns={'user_id':'login'}).reset_index()\n",
    "# Create list of users who logged in at least 3 times in a week\n",
    "adopted_users = list(weekly_logins['user_id'][weekly_logins['login'] >= 3].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 652,
   "id": "effb0269-c059-4154-bd08-9a6d03d20eb6",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Create target variable column 'adopted' and set to 0\n",
    "df['adopted'] = 0\n",
    "# Impute 1 in 'adopted' column if user logged in 3 or more times in a week\n",
    "df.loc[df['object_id'].isin(adopted_users), 'adopted'] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 653,
   "id": "0f8f356a-a187-47ed-be17-f60181341000",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 12000 entries, 0 to 11999\n",
      "Data columns (total 11 columns):\n",
      " #   Column                      Non-Null Count  Dtype  \n",
      "---  ------                      --------------  -----  \n",
      " 0   object_id                   12000 non-null  int64  \n",
      " 1   creation_time               12000 non-null  object \n",
      " 2   name                        12000 non-null  object \n",
      " 3   email                       12000 non-null  object \n",
      " 4   creation_source             12000 non-null  object \n",
      " 5   last_session_creation_time  8823 non-null   float64\n",
      " 6   opted_in_to_mailing_list    12000 non-null  int64  \n",
      " 7   enabled_for_marketing_drip  12000 non-null  int64  \n",
      " 8   org_id                      12000 non-null  int64  \n",
      " 9   invited_by_user_id          6417 non-null   float64\n",
      " 10  adopted                     12000 non-null  int64  \n",
      "dtypes: float64(2), int64(5), object(4)\n",
      "memory usage: 1.0+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 654,
   "id": "0810bb15-f967-4ba6-a52c-d1f9214f13d8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       1970-01-01 00:00:01.398138810\n",
       "1       1970-01-01 00:00:01.396237504\n",
       "2       1970-01-01 00:00:01.363734892\n",
       "3       1970-01-01 00:00:01.369210168\n",
       "4       1970-01-01 00:00:01.358849660\n",
       "                     ...             \n",
       "11995   1970-01-01 00:00:01.378448055\n",
       "11996   1970-01-01 00:00:01.358274517\n",
       "11997   1970-01-01 00:00:01.398602716\n",
       "11998   1970-01-01 00:00:01.338638159\n",
       "11999   1970-01-01 00:00:01.390726632\n",
       "Name: last_session_creation_time, Length: 12000, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 654,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check timedelta for 'last_session_creation_time'\n",
    "pd.to_datetime(df['last_session_creation_time'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 655,
   "id": "dae524c9-7207-4a7d-8156-265b23a6dd6b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Convert 'creation_time' into float, matching format of 'last_session_creation_time'\n",
    "df['creation_time'] = (pd.to_datetime(df['creation_time']) - pd.to_datetime('1970-01-01')).dt.total_seconds()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 656,
   "id": "ae0e4e82-ecc1-47fc-98ef-4474ed34ec2b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Impute missing values\n",
    "df['last_session_creation_time'].fillna(df['creation_time'], inplace=True)\n",
    "df['invited_by_user_id'].fillna(0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 657,
   "id": "925cdb05-fa26-44cc-9e17-2fdae7999815",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Create 'lapsed_time' column to indicate amount of time between account creation and last login\n",
    "df['lapsed_time'] = df['last_session_creation_time'] - df['creation_time']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 658,
   "id": "4e02b24c-f34d-40a5-9fcc-ce7eac789221",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "object_id                     12000\n",
       "creation_time                 11996\n",
       "name                          11355\n",
       "email                         11980\n",
       "creation_source                   5\n",
       "last_session_creation_time    11998\n",
       "opted_in_to_mailing_list          2\n",
       "enabled_for_marketing_drip        2\n",
       "org_id                          417\n",
       "invited_by_user_id             2565\n",
       "adopted                           2\n",
       "lapsed_time                     512\n",
       "dtype: int64"
      ]
     },
     "execution_count": 658,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 659,
   "id": "10a268b6-6a17-428f-b6b9-cca76672e16e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# One hot encode 'creation_source' column\n",
    "dummies = pd.get_dummies(df[['creation_source']], dtype='int')\n",
    "df = pd.concat([df.drop(columns='creation_source'), dummies], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 660,
   "id": "9fcccafe-70f0-4c96-a5b2-97ec6db10d33",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "org_id\n",
       "0    319\n",
       "1    233\n",
       "2    201\n",
       "3    168\n",
       "4    159\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 660,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Evaluate 'org_id' column to measure based on counts of number of users per organization\n",
    "df['org_id'].value_counts().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 661,
   "id": "2a6d7f5e-68da-4376-bc7f-beed354f12d6",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "org_id\n",
       "396    9\n",
       "397    8\n",
       "400    8\n",
       "386    7\n",
       "416    2\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 661,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['org_id'].value_counts().tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 662,
   "id": "ec563b3d-463a-4c9c-bc15-1f89747113b7",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df['org_id'].hist(bins=df['org_id'].nunique(), grid=False);\n",
    "ax.set_title('# of Users per Organization');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 663,
   "id": "94e3b7c6-795e-40d5-8a66-cb7c55a3de9a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Add column with value counts for each organization id\n",
    "df['users_per_org'] = df.groupby('org_id')['org_id'].transform('count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 666,
   "id": "0e3cc25b-77fb-4c75-a547-98590ac8d439",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>object_id</th>\n",
       "      <th>creation_time</th>\n",
       "      <th>name</th>\n",
       "      <th>email</th>\n",
       "      <th>last_session_creation_time</th>\n",
       "      <th>opted_in_to_mailing_list</th>\n",
       "      <th>enabled_for_marketing_drip</th>\n",
       "      <th>org_id</th>\n",
       "      <th>invited_by_user_id</th>\n",
       "      <th>adopted</th>\n",
       "      <th>lapsed_time</th>\n",
       "      <th>creation_source_GUEST_INVITE</th>\n",
       "      <th>creation_source_ORG_INVITE</th>\n",
       "      <th>creation_source_PERSONAL_PROJECTS</th>\n",
       "      <th>creation_source_SIGNUP</th>\n",
       "      <th>creation_source_SIGNUP_GOOGLE_AUTH</th>\n",
       "      <th>users_per_org</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1.398139e+09</td>\n",
       "      <td>Clausen August</td>\n",
       "      <td>AugustCClausen@yahoo.com</td>\n",
       "      <td>1.398139e+09</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>10803.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1.384487e+09</td>\n",
       "      <td>Poole Matthew</td>\n",
       "      <td>MatthewPoole@gustr.com</td>\n",
       "      <td>1.396238e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>316.0</td>\n",
       "      <td>1</td>\n",
       "      <td>11750400.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1.363735e+09</td>\n",
       "      <td>Bottrill Mitchell</td>\n",
       "      <td>MitchellBottrill@gustr.com</td>\n",
       "      <td>1.363735e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>94</td>\n",
       "      <td>1525.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1.369124e+09</td>\n",
       "      <td>Clausen Nicklas</td>\n",
       "      <td>NicklasSClausen@yahoo.com</td>\n",
       "      <td>1.369210e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5151.0</td>\n",
       "      <td>0</td>\n",
       "      <td>86400.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>1.358418e+09</td>\n",
       "      <td>Raw Grace</td>\n",
       "      <td>GraceRaw@yahoo.com</td>\n",
       "      <td>1.358850e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>193</td>\n",
       "      <td>5240.0</td>\n",
       "      <td>0</td>\n",
       "      <td>432000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   object_id  creation_time               name                       email  \\\n",
       "0          1   1.398139e+09     Clausen August    AugustCClausen@yahoo.com   \n",
       "1          2   1.384487e+09      Poole Matthew      MatthewPoole@gustr.com   \n",
       "2          3   1.363735e+09  Bottrill Mitchell  MitchellBottrill@gustr.com   \n",
       "3          4   1.369124e+09    Clausen Nicklas   NicklasSClausen@yahoo.com   \n",
       "4          5   1.358418e+09          Raw Grace          GraceRaw@yahoo.com   \n",
       "\n",
       "   last_session_creation_time  opted_in_to_mailing_list  \\\n",
       "0                1.398139e+09                         1   \n",
       "1                1.396238e+09                         0   \n",
       "2                1.363735e+09                         0   \n",
       "3                1.369210e+09                         0   \n",
       "4                1.358850e+09                         0   \n",
       "\n",
       "   enabled_for_marketing_drip  org_id  invited_by_user_id  adopted  \\\n",
       "0                           0      11             10803.0        0   \n",
       "1                           0       1               316.0        1   \n",
       "2                           0      94              1525.0        0   \n",
       "3                           0       1              5151.0        0   \n",
       "4                           0     193              5240.0        0   \n",
       "\n",
       "   lapsed_time  creation_source_GUEST_INVITE  creation_source_ORG_INVITE  \\\n",
       "0          0.0                             1                           0   \n",
       "1   11750400.0                             0                           1   \n",
       "2          0.0                             0                           1   \n",
       "3      86400.0                             1                           0   \n",
       "4     432000.0                             1                           0   \n",
       "\n",
       "   creation_source_PERSONAL_PROJECTS  creation_source_SIGNUP  \\\n",
       "0                                  0                       0   \n",
       "1                                  0                       0   \n",
       "2                                  0                       0   \n",
       "3                                  0                       0   \n",
       "4                                  0                       0   \n",
       "\n",
       "   creation_source_SIGNUP_GOOGLE_AUTH  users_per_org  \n",
       "0                                   0             75  \n",
       "1                                   0            233  \n",
       "2                                   0             32  \n",
       "3                                   0            233  \n",
       "4                                   0             16  "
      ]
     },
     "execution_count": 666,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 667,
   "id": "fd66a3eb-3fc9-4d8e-b729-faff6caf6f01",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "invited_by_user_id\n",
       "0.0        5583\n",
       "10741.0      13\n",
       "2527.0       12\n",
       "1525.0       11\n",
       "2308.0       11\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 667,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Evaluate 'invited_by_user_id' column to potentially bin based on which user other users were invited by\n",
    "df['invited_by_user_id'].value_counts().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 668,
   "id": "9a8368c3-4a72-46a2-8d71-59722c14d355",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# With this column having such a vast distribution, we won't use it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 669,
   "id": "254799fe-4750-44f8-a68e-4bbdb567ec10",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['object_id', 'creation_time', 'name', 'email',\n",
       "       'last_session_creation_time', 'opted_in_to_mailing_list',\n",
       "       'enabled_for_marketing_drip', 'org_id', 'invited_by_user_id', 'adopted',\n",
       "       'lapsed_time', 'creation_source_GUEST_INVITE',\n",
       "       'creation_source_ORG_INVITE', 'creation_source_PERSONAL_PROJECTS',\n",
       "       'creation_source_SIGNUP', 'creation_source_SIGNUP_GOOGLE_AUTH',\n",
       "       'users_per_org'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 669,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 670,
   "id": "f92581b0-1cb0-40f5-8a00-0ce330e66f8b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Create dataframe with relevant columns for modeling\n",
    "dfm = df.drop(columns=['object_id', 'name', 'email', 'org_id', 'invited_by_user_id'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 671,
   "id": "a4756fae-d57f-4d16-b354-2729531eb4e1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>creation_time</th>\n",
       "      <th>last_session_creation_time</th>\n",
       "      <th>opted_in_to_mailing_list</th>\n",
       "      <th>enabled_for_marketing_drip</th>\n",
       "      <th>adopted</th>\n",
       "      <th>lapsed_time</th>\n",
       "      <th>creation_source_GUEST_INVITE</th>\n",
       "      <th>creation_source_ORG_INVITE</th>\n",
       "      <th>creation_source_PERSONAL_PROJECTS</th>\n",
       "      <th>creation_source_SIGNUP</th>\n",
       "      <th>creation_source_SIGNUP_GOOGLE_AUTH</th>\n",
       "      <th>users_per_org</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.398139e+09</td>\n",
       "      <td>1.398139e+09</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.384487e+09</td>\n",
       "      <td>1.396238e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11750400.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.363735e+09</td>\n",
       "      <td>1.363735e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.369124e+09</td>\n",
       "      <td>1.369210e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>86400.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.358418e+09</td>\n",
       "      <td>1.358850e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>432000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   creation_time  last_session_creation_time  opted_in_to_mailing_list  \\\n",
       "0   1.398139e+09                1.398139e+09                         1   \n",
       "1   1.384487e+09                1.396238e+09                         0   \n",
       "2   1.363735e+09                1.363735e+09                         0   \n",
       "3   1.369124e+09                1.369210e+09                         0   \n",
       "4   1.358418e+09                1.358850e+09                         0   \n",
       "\n",
       "   enabled_for_marketing_drip  adopted  lapsed_time  \\\n",
       "0                           0        0          0.0   \n",
       "1                           0        1   11750400.0   \n",
       "2                           0        0          0.0   \n",
       "3                           0        0      86400.0   \n",
       "4                           0        0     432000.0   \n",
       "\n",
       "   creation_source_GUEST_INVITE  creation_source_ORG_INVITE  \\\n",
       "0                             1                           0   \n",
       "1                             0                           1   \n",
       "2                             0                           1   \n",
       "3                             1                           0   \n",
       "4                             1                           0   \n",
       "\n",
       "   creation_source_PERSONAL_PROJECTS  creation_source_SIGNUP  \\\n",
       "0                                  0                       0   \n",
       "1                                  0                       0   \n",
       "2                                  0                       0   \n",
       "3                                  0                       0   \n",
       "4                                  0                       0   \n",
       "\n",
       "   creation_source_SIGNUP_GOOGLE_AUTH  users_per_org  \n",
       "0                                   0             75  \n",
       "1                                   0            233  \n",
       "2                                   0             32  \n",
       "3                                   0            233  \n",
       "4                                   0             16  "
      ]
     },
     "execution_count": 671,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfm.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 679,
   "id": "775c7134-7d14-45d2-a64e-2ea42b4f4f41",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1200 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Explore distributions of features and target\n",
    "dfm.hist(grid=False, figsize=(12,12));\n",
    "plt.subplots_adjust(hspace=0.5, wspace=0.5);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 700,
   "id": "01718f80-d8aa-47b0-a715-d7fae8dc879b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# We see that 'creation_time' and 'last_session_creation_time' are left skewed, while all other features are right skewed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 681,
   "id": "aac43ac1-089f-45f8-bef3-a162d5613322",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Explore correlations of features and target\n",
    "plt.figure(figsize=(10,8))\n",
    "sns.heatmap(round(dfm.corr(),2),linewidths=.1,cmap='coolwarm', annot=True, mask=np.triu(dfm.corr()))\n",
    "plt.yticks(rotation=0);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 701,
   "id": "0d2e9415-69fa-4074-a130-792b0e2777a0",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Strongest positive correlations between 'last_session_creation_time' and 'creation_time', and 'lapsed_time' and 'adopted'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 684,
   "id": "a68ba855-dabf-4e5b-941c-9920fb03161b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Split data into train and test sets for modeling\n",
    "X = dfm.drop(columns='adopted')\n",
    "y = dfm['adopted']\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 685,
   "id": "46821771-ce57-474c-a580-62f97e7acd7a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Build predictive model\n",
    "rf = RandomForestClassifier(random_state=42)\n",
    "rf.fit(X_train, y_train)\n",
    "train_pred = rf.predict(X_train)\n",
    "test_pred = rf.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 686,
   "id": "ddeae3bb-c8bc-42b7-beff-d66277f4f168",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train accuracy: 1.0\n",
      "Test accuracy: 0.9758333333333333\n"
     ]
    }
   ],
   "source": [
    "# Accuracy score\n",
    "print('Train accuracy:', accuracy_score(y_train, train_pred))\n",
    "print('Test accuracy:', accuracy_score(y_test, test_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 687,
   "id": "5f9de585-c1ec-4019-8c43-45a6dc565eb0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[2085   21]\n",
      " [  37  257]]\n",
      "\n",
      "True negatives: 2085\n",
      "False negatives: 37\n",
      "True positives: 257\n",
      "False positives: 21\n"
     ]
    }
   ],
   "source": [
    "# Confusion matrix\n",
    "cm = confusion_matrix(y_test, test_pred)\n",
    "print(cm)\n",
    "print('\\nTrue negatives:', cm[0,0])\n",
    "print('False negatives:', cm[1,0])\n",
    "print('True positives:', cm[1,1])\n",
    "print('False positives:', cm[0,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 688,
   "id": "c14340a2-ef43-4835-a087-3ba742d41034",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.98      0.99      0.99      2106\n",
      "           1       0.92      0.87      0.90       294\n",
      "\n",
      "    accuracy                           0.98      2400\n",
      "   macro avg       0.95      0.93      0.94      2400\n",
      "weighted avg       0.98      0.98      0.98      2400\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Classification report\n",
    "print(classification_report(y_test, test_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 690,
   "id": "c8727ee1-47e0-4e6e-97db-5f4fd3fea710",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Feature</th>\n",
       "      <th>Importance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>lapsed_time</td>\n",
       "      <td>0.597372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>last_session_creation_time</td>\n",
       "      <td>0.268308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>creation_time</td>\n",
       "      <td>0.082919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>users_per_org</td>\n",
       "      <td>0.030704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>opted_in_to_mailing_list</td>\n",
       "      <td>0.004243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>creation_source_ORG_INVITE</td>\n",
       "      <td>0.003015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>creation_source_GUEST_INVITE</td>\n",
       "      <td>0.002870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>creation_source_PERSONAL_PROJECTS</td>\n",
       "      <td>0.002744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>enabled_for_marketing_drip</td>\n",
       "      <td>0.002649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>creation_source_SIGNUP_GOOGLE_AUTH</td>\n",
       "      <td>0.002604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>creation_source_SIGNUP</td>\n",
       "      <td>0.002572</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Feature  Importance\n",
       "0                          lapsed_time    0.597372\n",
       "1           last_session_creation_time    0.268308\n",
       "2                        creation_time    0.082919\n",
       "3                        users_per_org    0.030704\n",
       "4             opted_in_to_mailing_list    0.004243\n",
       "5           creation_source_ORG_INVITE    0.003015\n",
       "6         creation_source_GUEST_INVITE    0.002870\n",
       "7    creation_source_PERSONAL_PROJECTS    0.002744\n",
       "8           enabled_for_marketing_drip    0.002649\n",
       "9   creation_source_SIGNUP_GOOGLE_AUTH    0.002604\n",
       "10              creation_source_SIGNUP    0.002572"
      ]
     },
     "execution_count": 690,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Feature importance\n",
    "df_fi = pd.DataFrame({'Feature': X_test.columns, 'Importance': rf.feature_importances_}).sort_values('Importance', ascending=False).reset_index(drop=True)\n",
    "df_fi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 691,
   "id": "9c6ad25f-7953-48ef-a1de-40acd1eb4ba8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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yZdSa2vPmzYs6depk6XVs2LABPj4+sLKygpGREYyNjbF8+XKNPxdfX19YW1srrzs4OKBAgQLK15aYmIiDBw+iffv26Z4T3759O3x9feHo6KjyM/Hz8wMAHDx4MM37ZvWYZNV///2H06dPKy+hoaHKzAqFAt99951K5oIFC6J8+fIqv0dxcXHo06cPnJyclMfU2dkZALL9+56RNm3aqFzfvXs3kpKS4O/vr5LXzMwMtWrVUua1s7ND8eLF8euvv2LWrFk4d+6c2mmQrKpQoQKKFi2qvG5mZoZSpUpp/BvQZNGiRTA2NoaJiQnKlCmDY8eOYdKkSejXr1+6r/nYsWN4+vQpunXrpvKaU1JS0KhRI5w+fRqvX7/G69evcfr0abRu3RpmZmbK+1tbW6NZs2YZ5tu5cydKlSqFevXqZer1ZFbBggVRpUoVlW3lypVTOW4HDx6Eh4cH3N3dVfbr1KlTpp9n+fLlMDc3R8eOHQEAVlZWaNeuHQ4fPqwySjYsLAx169aFg4ODcpuhoSE6dOig8nhZ/Zu0trZG8+bNVbZ17twZKSkpOHToUKZfR6rjx4/jzZs3as/v5OSEOnXqqD2/QqFQ+zl/fpylwA7FX0BQUBDKlCmDly9fIjg4GEuXLkWnTp2wc+dOAP/rezNixAiMGDFC42OkN1S6c+fO2LdvH8aNG4fKlSvDxsYGCoUCjRs3xps3b7Kdu2fPnti0aRP27t2Lhg0bYt26dXj37p3KL/mjR4/w/PlzmJiYZDl3euzs7NS2mZiYqG1Pfd63b9+q7V+wYEGV60ZGRrC3t8eTJ08AQPmvplEBjo6Oan+MWR09EBISgvbt26Ndu3YICAhAwYIFYWRkhMWLF2vsI2Fvb6+2zdTUVPkzfPbsGZKTkzPsZPro0SNs27YNxsbGGm9P72eS1WOSVeXLl9fYofjRo0cQQqi80X+qWLFiAD72PWjQoAEePnyIcePGwdPTE5aWlkhJSUG1atVy9Puens+PR+rfbOXKlTXub2Dw8XuiQqHAvn37MGnSJMycORPDhw+HnZ0dunTpgqlTp6oUs5mV0e9JRtq3b4+AgAAoFApYW1ujePHiMDQ0VNsvrdfctm3bNB/76dOnUCgUSElJUfv7A9T/JjV5/PixSvGWWzJz3J48eaJx9F5av5efu3XrFg4dOoQ2bdpACKGchqBt27ZYuXIlVqxYgenTpyufKzPHKKt/k5qypj5m6mNlRUbPv3fvXpVtFhYWKkUt8PE4a3qP1iYWN19AmTJllJ2IfX19kZycjGXLlmHjxo1o27at8s1+zJgxKh11P+Xm5qZxe0JCArZv344JEyZg9OjRyu3v3r3D06dPc5S7YcOGcHR0xMqVK9GwYUOsXLkSVatWVflWky9fPtjb26t16k2VnTfv3BIbG4vChQsrryclJeHJkyfKN7nUf2NiYtQKhocPH6p9CGd1dMxff/0FV1dXBAcHq9w3ux3r7OzsYGhoqNaJ8HP58uVDuXLlMHXqVI23f9ry9bmsHpPcki9fPigUChw+fFjjkPLUbZcuXcL58+exatUqdOvWTXl7amfXzDI1NdX4c0jrzf/zn33qcdi4caOy1Sgtzs7Oyg6mN27cwPr16zFx4kS8f/8eS5YsyVLu3JA/f37l+1F60nrN8+fPV462+pyDg4NyZFVsbKza7Zq2acqX0e/4l2Jvb6820APIXG7gY6dbIQQ2btyIjRs3qt2+evVqTJkyBYaGhrC3t8/UMcrq32R6+TUVeBn59Pk/9yXfE3IbT0tpwcyZM5E3b16MHz8eKSkpcHNzQ8mSJXH+/HlUqlRJ4yWtIkGhUEAIofaBsGzZMmXv+FSp+2T2G56hoSG6du2Kf//9F4cPH8aZM2fQs2dPlX2aNm2KJ0+eIDk5WWPutIoybfj7779Vrq9fvx5JSUnKeR1STzH99ddfKvudPn0aV69eRd26dTP1PGl9a1YoFDAxMVH5kIiNjdU4WiozzM3NUatWLWzYsCHd1pemTZvi0qVLKF68uMafSXrFTW4dk6xq2rQphBB48OCBxsyenp4A/veB+/nv+9KlS9UeM73fdxcXF1y4cEFl2/79+/Hq1atM5W3YsCGMjIxw+/btNP9mNSlVqhR+/vlneHp64uzZs5l6Lrnw8fFBnjx5cOXKlTRfs4mJCSwtLVGlShWEhISofFt/+fIltm3bluHz+Pn54caNG9i/f3+a+2T1vSyzatWqhUuXLuHKlSsq2//5558M75ucnIzVq1ejePHiCAsLU7sMHz4cMTExyhZ7X19f7Nu3T6UYSU5ORnBwsMrjZvVv8uXLl9i6davKtrVr18LAwADffvstgKwdv+rVq8Pc3Fzt+e/fv4/9+/d/sfeE3MaWGy3ImzcvxowZg5EjR2Lt2rX47rvvsHTpUvj5+aFhw4bo3r07ChcujKdPn+Lq1as4e/YsNmzYoPGxbGxs8O233+LXX39Fvnz54OLigoMHD2L58uVqE5elzpT5xx9/wNraGmZmZnB1dU23mu/Zsyd++eUXdO7cGebm5mrngzt27Ii///4bjRs3xuDBg1GlShUYGxvj/v37CAsLQ4sWLdCqVaucHbBsCgkJgZGREerXr4/Lly9j3LhxKF++PNq3bw/gY2vYDz/8gPnz58PAwAB+fn64e/cuxo0bBycnJwwdOjRTz+Pp6Yl//vkHwcHBKFasGMzMzODp6YmmTZsiJCQE/fr1Q9u2bREdHY3JkyejUKFC2Z6hetasWfjmm29QtWpVjB49GiVKlMCjR4+wdetWLF26FNbW1pg0aRL27t2LGjVqYNCgQXBzc8Pbt29x9+5dhIaGYsmSJWme2sqtY5JVPj4++OGHH9CjRw+cOXMG3377LSwtLRETE4MjR47A09MTffv2RenSpVG8eHGMHj0aQgjY2dlh27Ztak3jAJQF0dy5c9GtWzcYGxvDzc0N1tbW6Nq1K8aNG4fx48ejVq1auHLlChYsWKA2wWBaXFxcMGnSJIwdOxZ37txR9qV79OgRTp06BUtLSwQGBuLChQsYMGAA2rVrh5IlS8LExAT79+/HhQsXVFpadYGVlRXmz5+Pbt264enTp2jbti0KFCiAx48f4/z583j8+DEWL14MAJg8eTIaNWqE+vXrY/jw4UhOTsYvv/wCS0vLDFuUhwwZguDgYLRo0QKjR49GlSpV8ObNGxw8eBBNmzZV9k1zdnbGli1bULduXdjZ2Snf/3JiyJAhWLFiBfz8/DBp0iQ4ODhg7dq1uHbtGoD/nW7UZOfOnXj48CF++eUXtYnxgI/vvwsWLMDy5cvRtGlT/Pzzz9i6dSvq1KmD8ePHw8LCAgsXLsTr169V7pfVv0l7e3v07dsXUVFRKFWqFEJDQ/Hnn3+ib9++ytN9WTl+efLkwbhx4/DTTz/B398fnTp1wpMnTxAYGAgzMzNMmDAhi0dZIlL2ZtY3aQ0FF+LjCIeiRYuKkiVLKofDnj9/XrRv314UKFBAGBsbi4IFC4o6deooe90LoXm01P3790WbNm1E3rx5hbW1tWjUqJG4dOmS2igEIYSYM2eOcHV1FYaGhirDzD8fLfWpGjVqCACiS5cuGm//8OGD+O2330T58uWFmZmZsLKyEqVLlxY//vijuHnzZrrHKK3RUmXLllXb19nZWTRp0kRtOz4b3pr6mOHh4aJZs2bCyspKWFtbi06dOolHjx6p3Dc5OVn88ssvolSpUsLY2Fjky5dPfPfdd2rDmtPKJIQQd+/eFQ0aNBDW1tbKIeipZsyYIVxcXISpqakoU6aM+PPPPzWOgvn8NXz6mj//GV65ckW0a9dO2NvbCxMTE1G0aFHRvXt38fbtW+U+jx8/FoMGDRKurq7C2NhY2NnZCW9vbzF27Fjx6tUrja8jq8ckO6OlMtp3xYoVomrVqsLS0lKYm5uL4sWLC39/f5WRc1euXBH169cX1tbWIm/evKJdu3YiKipK4+iPMWPGCEdHR2FgYKDyd/Pu3TsxcuRI4eTkJMzNzUWtWrVEREREmqOlNP0NCyHEv//+K3x9fYWNjY0wNTUVzs7Oom3btsph0Y8ePRLdu3cXpUuXFpaWlsLKykqUK1dOzJ49W2UYfHrH7FNp/Q3UqlUrUyP20vo9+1Tqe8yGDRs03n7w4EHRpEkTYWdnJ4yNjUXhwoVFkyZN1PbfunWrKFeunPJ3dMaMGWm+ps9/x589eyYGDx4sihYtKoyNjUWBAgVEkyZNxLVr15T7/Pfff8LLy0uYmpoKAMrHSGu0lKa/X03ve5cuXRL16tUTZmZmws7OTvTq1UusXr1aABDnz59P87i1bNlSmJiYpDuSsWPHjsLIyEg5Quro0aPK6SwKFiwoAgICxB9//KGWP6vvUwcOHBCVKlUSpqamolChQuKnn35SG4mbleMnxMch7ak/T1tbW9GiRQu1UWXdunUTlpaWaq9b089d2xRCCKGtQoroS5g4cSICAwPx+PFjnTkfTETy9cMPP2DdunV48uRJmoMn5KB27dqIj49Xzh5O/8PTUkRE9NWaNGkSHB0dUaxYMbx69Qrbt2/HsmXL8PPPP8u6sKH0sbghIqKvlrGxMX799Vfcv38fSUlJKFmyJGbNmsWFhXUcT0sRERGRXuFQcCIiItIrLG6IiIhIr7C4ISIiIr3y1XUoTklJwcOHD2FtbZ3l6fWJiIhIGkIIvHz5Eo6OjulOsAh8hcXNw4cP4eTkJHUMIiIiyobo6OgMFxT+6oqb1DWboqOjYWNjI3EaIiIiyowXL17AyckpUws0f3XFTeqpKBsbGxY3REREOiYzXUrYoZiIiIj0CosbIiIi0issboiIiEivsLghIiIivcLihoiIiPQKixsiIiLSKyxuiIiISK+wuCEiIiK9wuKGiIiI9Irkxc2iRYvg6uoKMzMzeHt74/Dhw+nu/+7dO4wdOxbOzs4wNTVF8eLFsWLFCi2lJSIiIrmTdPmF4OBgDBkyBIsWLYKPjw+WLl0KPz8/XLlyBUWLFtV4n/bt2+PRo0dYvnw5SpQogbi4OCQlJWk5OREREcmVQgghpHryqlWromLFili8eLFyW5kyZdCyZUtMnz5dbf9du3ahY8eOuHPnDuzs7LL1nC9evICtrS0SEhK4thQREZGOyMrnt2Snpd6/f4/w8HA0aNBAZXuDBg1w7NgxjffZunUrKlWqhJkzZ6Jw4cIoVaoURowYgTdv3qT5PO/evcOLFy9ULkRERKS/JDstFR8fj+TkZDg4OKhsd3BwQGxsrMb73LlzB0eOHIGZmRk2b96M+Ph49OvXD0+fPk2z38306dMRGBiY6/mJiIhIniTvUPz50uVCiDSXM09JSYFCocDff/+NKlWqoHHjxpg1axZWrVqVZuvNmDFjkJCQoLxER0fn+msgIiIi+ZCs5SZfvnwwNDRUa6WJi4tTa81JVahQIRQuXBi2trbKbWXKlIEQAvfv30fJkiXV7mNqagpTU9MM83gHBGXxFXxZ4b/6Sx2BiIhIJ0nWcmNiYgJvb2/s3btXZfvevXtRo0YNjffx8fHBw4cP8erVK+W2GzduwMDAAEWKFPmieYmIiEg3SHpaatiwYVi2bBlWrFiBq1evYujQoYiKikKfPn0AfDyl5O//vxaMzp07w97eHj169MCVK1dw6NAhBAQEoGfPnjA3N5fqZRAREZGMSDrPTYcOHfDkyRNMmjQJMTEx8PDwQGhoKJydnQEAMTExiIqKUu5vZWWFvXv3YuDAgahUqRLs7e3Rvn17TJkyRaqXQERERDIj6Tw3UkhrnDz73BAREcmXTsxzQ0RERPQlsLghIiIivcLihoiIiPQKixsiIiLSKyxuiIiISK+wuCEiIiK9wuKGiIiI9AqLGyIiItIrLG6IiIhIr7C4ISIiIr3C4oaIiIj0CosbIiIi0issboiIiEivsLghIiIivcLihoiIiPQKixsiIiLSKyxuiIiISK+wuCEiIiK9wuKGiIiI9AqLGyIiItIrLG6IiIhIr7C4ISIiIr3C4oaIiIj0CosbIiIi0issboiIiEivsLghIiIivcLihoiIiPQKixsiIiLSKyxuiIiISK+wuCEiIiK9wuKGiIiI9AqLGyIiItIrLG6IiIhIr7C4ISIiIr3C4oaIiIj0CosbIiIi0issboiIiEivsLghIiIivcLihoiIiPQKixsiIiLSKyxuiIiISK+wuCEiIiK9wuKGiIiI9AqLGyIiItIrLG6IiIhIr7C4ISIiIr3C4oaIiIj0CosbIiIi0iuSFzeLFi2Cq6srzMzM4O3tjcOHD6e574EDB6BQKNQu165d02JiIiIikjNJi5vg4GAMGTIEY8eOxblz51CzZk34+fkhKioq3ftdv34dMTExykvJkiW1lJiIiIjkTtLiZtasWejVqxd69+6NMmXKYM6cOXBycsLixYvTvV+BAgVQsGBB5cXQ0FBLiYmIiEjuJCtu3r9/j/DwcDRo0EBle4MGDXDs2LF07+vl5YVChQqhbt26CAsLS3ffd+/e4cWLFyoXIiIi0l+SFTfx8fFITk6Gg4ODynYHBwfExsZqvE+hQoXwxx9/YNOmTQgJCYGbmxvq1q2LQ4cOpfk806dPh62trfLi5OSUq6+DiIiI5MVI6gAKhULluhBCbVsqNzc3uLm5Ka9Xr14d0dHR+O233/Dtt99qvM+YMWMwbNgw5fUXL16wwCEiItJjkrXc5MuXD4aGhmqtNHFxcWqtOempVq0abt68mebtpqamsLGxUbkQERGR/pKsuDExMYG3tzf27t2rsn3v3r2oUaNGph/n3LlzKFSoUG7HIyIiIh0l6WmpYcOGoWvXrqhUqRKqV6+OP/74A1FRUejTpw+Aj6eUHjx4gKCgIADAnDlz4OLigrJly+L9+/f466+/sGnTJmzatEnKl0FEREQyImlx06FDBzx58gSTJk1CTEwMPDw8EBoaCmdnZwBATEyMypw379+/x4gRI/DgwQOYm5ujbNmy2LFjBxo3bizVSyAiIiKZUQghhNQhtOnFixewtbVFQkKCSv8b74AgCVOpC//VX+oIREREspHW57cmki+/QERERJSbWNwQERGRXmFxQ0RERHqFxQ0RERHpFRY3REREpFdY3BAREZFeYXFDREREeoXFDREREekVFjdERESkV1jcEBERkV5hcUNERER6hcUNERER6RUWN0RERKRXWNwQERGRXmFxQ0RERHqFxQ0RERHpFRY3REREpFdY3BAREZFeYXFDREREeoXFDREREekVFjdERESkV1jcEBERkV5hcUNERER6hcUNERER6RUWN0RERKRXWNwQERGRXmFxQ0RERHqFxQ0RERHpFRY3REREpFdY3BAREZFeYXFDREREeoXFDREREekVFjdERESkV1jcEBERkV5hcUNERER6hcUNERER6RUWN0RERKRXWNwQERGRXmFxQ0RERHqFxQ0RERHpFRY3REREpFdY3BAREZFeYXFDREREeoXFDREREekVFjdERESkV1jcEBERkV5hcUNERER6hcUNERER6RXJi5tFixbB1dUVZmZm8Pb2xuHDhzN1v6NHj8LIyAgVKlT4sgGJiIhIp0ha3AQHB2PIkCEYO3Yszp07h5o1a8LPzw9RUVHp3i8hIQH+/v6oW7eulpISERGRrpC0uJk1axZ69eqF3r17o0yZMpgzZw6cnJywePHidO/3448/onPnzqhevbqWkhIREZGukKy4ef/+PcLDw9GgQQOV7Q0aNMCxY8fSvN/KlStx+/ZtTJgwIVPP8+7dO7x48ULlQkRERPpLsuImPj4eycnJcHBwUNnu4OCA2NhYjfe5efMmRo8ejb///htGRkaZep7p06fD1tZWeXFycspxdiIiIpIvyTsUKxQKletCCLVtAJCcnIzOnTsjMDAQpUqVyvTjjxkzBgkJCcpLdHR0jjMTERGRfGWu+eMLyJcvHwwNDdVaaeLi4tRacwDg5cuXOHPmDM6dO4cBAwYAAFJSUiCEgJGREfbs2YM6deqo3c/U1BSmpqZf5kUQERGR7EjWcmNiYgJvb2/s3btXZfvevXtRo0YNtf1tbGxw8eJFREREKC99+vSBm5sbIiIiULVqVW1FJyIiIhmTrOUGAIYNG4auXbuiUqVKqF69Ov744w9ERUWhT58+AD6eUnrw4AGCgoJgYGAADw8PlfsXKFAAZmZmatuJiIjo6yVpcdOhQwc8efIEkyZNQkxMDDw8PBAaGgpnZ2cAQExMTIZz3hARERF9SiGEEFKH0KYXL17A1tYWCQkJsLGxUW73DgiSMJW68F/9pY5AREQkG2l9fmsi+WgpIiIiotzE4oaIiIj0CosbIiIi0issboiIiEivsLghIiIivcLihoiIiPQKixsiIiLSKyxuiIiISK9ku7hZs2YNfHx84OjoiHv37gEA5syZgy1btuRaOCIiIqKsylZxs3jxYgwbNgyNGzfG8+fPkZycDADIkycP5syZk5v5iIiIiLIkW8XN/Pnz8eeff2Ls2LEwNDRUbq9UqRIuXryYa+GIiIiIsipbxU1kZCS8vLzUtpuamuL169c5DkVERESUXdkqblxdXREREaG2fefOnXB3d89pJiIiIqJsM8rOnQICAtC/f3+8ffsWQgicOnUK69atw/Tp07Fs2bLczkhERESUadkqbnr06IGkpCSMHDkSiYmJ6Ny5MwoXLoy5c+eiY8eOuZ2RiIiIKNOyVdwAwPfff4/vv/8e8fHxSElJQYECBXIzFxEREVG2ZKu4iYyMRFJSEkqWLIl8+fIpt9+8eRPGxsZwcXHJrXxEREREWZKtDsXdu3fHsWPH1LafPHkS3bt3z2kmIiIiomzLVnFz7tw5+Pj4qG2vVq2axlFURERERNqSreJGoVDg5cuXatsTEhKUsxUTERERSSFbxU3NmjUxffp0lUImOTkZ06dPxzfffJNr4YiIiIiyKlsdimfOnIlvv/0Wbm5uqFmzJgDg8OHDePHiBfbv35+rAYmIiIiyIlstN+7u7rhw4QLat2+PuLg4vHz5Ev7+/rh27Ro8PDxyOyMRERFRpmV7nhtHR0dMmzYtN7MQERER5Vi2i5vnz5/j1KlTiIuLQ0pKispt/v7+OQ5GRERElB3ZKm62bduGLl264PXr17C2toZCoVDeplAoWNwQERGRZLLV52b48OHo2bMnXr58iefPn+PZs2fKy9OnT3M7IxEREVGmZau4efDgAQYNGgQLC4vczkNERESUI9kqbho2bIgzZ87kdhYiIiKiHMtWn5smTZogICAAV65cgaenJ4yNjVVub968ea6EIyIiIsqqbBU333//PQBg0qRJarcpFAouwUBERESSyVZx8/nQbyIiIiK5yFafGyIiIiK5yvYkfq9fv8bBgwcRFRWF9+/fq9w2aNCgHAcjIiIiyo5sFTfnzp1D48aNkZiYiNevX8POzg7x8fGwsLBAgQIFWNwQERGRZLJ1Wmro0KFo1qwZnj59CnNzc5w4cQL37t2Dt7c3fvvtt9zOSERERJRp2SpuIiIiMHz4cBgaGsLQ0BDv3r2Dk5MTZs6ciZ9++im3MxIRERFlWraKG2NjY+V6Ug4ODoiKigIA2NraKv9PREREJIVs9bnx8vLCmTNnUKpUKfj6+mL8+PGIj4/HmjVr4OnpmdsZiYiIiDItWy0306ZNQ6FChQAAkydPhr29Pfr27Yu4uDgsXbo0VwMSERERZUW2Wm4qVaqk/H/+/PkRGhqaa4GIiIiIciJbLTd16tTB8+fP1ba/ePECderUyWkmIiIiomzLVnFz4MABtYn7AODt27c4fPhwjkMRERERZVeWTktduHBB+f8rV64gNjZWeT05ORm7du1C4cKFcy8dERERURZlqbipUKECFAoFFAqFxtNP5ubmmD9/fq6FIyIiIsqqLBU3kZGREEKgWLFiOHXqFPLnz6+8zcTEBAUKFIChoWGuhyQiIiLKrCwVN87Ozvjw4QP8/f1hZ2cHZ2fnL5WLiIiIKFuy3KHY2NgYW7Zs+RJZiIiIiHIsW6OlWrZsiX///TdXAixatAiurq4wMzODt7d3uqOtjhw5Ah8fH9jb28Pc3BylS5fG7NmzcyUHERER6YdsTeJXokQJTJ48GceOHYO3tzcsLS1Vbh80aFCmHic4OBhDhgzBokWL4OPjg6VLl8LPzw9XrlxB0aJF1fa3tLTEgAEDUK5cOVhaWuLIkSP48ccfYWlpiR9++CE7L4WIiIj0jEIIIbJ6J1dX17QfUKHAnTt3MvU4VatWRcWKFbF48WLltjJlyqBly5aYPn16ph6jdevWsLS0xJo1azK1/4sXL2Bra4uEhATY2Ngot3sHBGXq/toS/qu/1BGIiIhkI63Pb02y1XITGRmZrWCfev/+PcLDwzF69GiV7Q0aNMCxY8cy9Rjnzp3DsWPHMGXKlDT3effuHd69e6e8/uLFi+wFJiIiIp2QrT43nxJCIBuNP4iPj0dycjIcHBxUtjs4OKhMDqhJkSJFYGpqikqVKqF///7o3bt3mvtOnz4dtra2youTk1OWsxIREZHuyHZxExQUBE9PT5ibm8Pc3BzlypXL9KmhTykUCpXrQgi1bZ87fPgwzpw5gyVLlmDOnDlYt25dmvuOGTMGCQkJykt0dHSWMxIREZHuyNZpqVmzZmHcuHEYMGAAfHx8IITA0aNH0adPH8THx2Po0KEZPka+fPlgaGio1koTFxen1przudQ+P56ennj06BEmTpyITp06adzX1NQUpqammXxlREREpOuyVdzMnz8fixcvhr///zq9tmjRAmXLlsXEiRMzVdyYmJjA29sbe/fuRatWrZTb9+7dixYtWmQ6ixBCpU8NERERfd2yVdzExMSgRo0aattr1KiBmJiYTD/OsGHD0LVrV1SqVAnVq1fHH3/8gaioKPTp0wfAx1NKDx48QFDQx5FMCxcuRNGiRVG6dGkAH+e9+e233zBw4MDsvAwiIiLSQ9me52b9+vX46aefVLYHBwejZMmSmX6cDh064MmTJ5g0aRJiYmLg4eGB0NBQ5bIOMTExiIqKUu6fkpKCMWPGIDIyEkZGRihevDhmzJiBH3/8MTsvg4iIiPRQtua52bRpEzp06IB69erBx8cHCoUCR44cwb59+7B+/XqV00xyw3luiIiIdE9W5rnJ1mipNm3a4OTJk8iXLx/+/fdfhISEIF++fDh16pSsCxsiIiLSf9k6LQUA3t7e+Ouvv3IzCxEREVGOZbu4SU5OxubNm3H16lUoFAqUKVMGLVq0gJFRth+SiIiIKMeyVYlcunQJLVq0QGxsLNzc3AAAN27cQP78+bF161Z4enrmakgiIiKizMpWn5vevXujbNmyuH//Ps6ePYuzZ88iOjoa5cqV4+rcREREJKlstdycP38eZ86cQd68eZXb8ubNi6lTp6Jy5cq5Fo6IiIgoq7LVcuPm5oZHjx6pbY+Li0OJEiVyHIqIiIgou7JV3EybNg2DBg3Cxo0bcf/+fdy/fx8bN27EkCFD8Msvv+DFixfKCxEREZE2Zeu0VNOmTQEA7du3V67gnToXYLNmzZTXFQoFkpOTcyMnERERUaZkq7gJCwvL7RxEREREuSJbxU2tWrVyOwcRERFRrsj2jHtv377FhQsXEBcXh5SUFJXbmjdvnuNgRERERNmRreJm165d8Pf3R3x8vNpt7GejPVzsk4iISF22RksNGDAA7dq1Q0xMDFJSUlQuLGyIiIhIStkqbuLi4jBs2DA4ODjkdh4iIiKiHMlWcdO2bVscOHAgl6MQERER5Vy2+twsWLAA7dq1w+HDh+Hp6QljY2OV2wcNGpQr4YiIiIiyKlvFzdq1a7F7926Ym5vjwIEDyon8gI8dilncEBERkVSyVdz8/PPPmDRpEkaPHg0Dg2yd2SIiIiL6IrJVmbx//x4dOnRgYUNERESyk63qpFu3bggODs7tLEREREQ5lq3TUsnJyZg5cyZ2796NcuXKqXUonjVrVq6EIyIiIsqqbBU3Fy9ehJeXFwDg0qVLuRqIiIiIKCe4KjgRERHplSwVN61bt85wH4VCgU2bNmU7EBEREVFOZKm4sbW1/VI5iIiIiHJFloqblStXfqkcRERERLmCE9UQERGRXmFxQ0RERHqFxQ0RERHpFRY3REREpFdY3BAREZFeYXFDREREeoXFDREREekVFjdERESkV1jcEBERkV5hcUNERER6hcUNERER6RUWN0RERKRXWNwQERGRXmFxQ0RERHqFxQ0RERHpFRY3REREpFdY3BAREZFeYXFDREREeoXFDREREekVFjdERESkV1jcEBERkV6RvLhZtGgRXF1dYWZmBm9vbxw+fDjNfUNCQlC/fn3kz58fNjY2qF69Onbv3q3FtERERCR3khY3wcHBGDJkCMaOHYtz586hZs2a8PPzQ1RUlMb9Dx06hPr16yM0NBTh4eHw9fVFs2bNcO7cOS0nJyIiIrmStLiZNWsWevXqhd69e6NMmTKYM2cOnJycsHjxYo37z5kzByNHjkTlypVRsmRJTJs2DSVLlsS2bdu0nJyIiIjkSrLi5v379wgPD0eDBg1Utjdo0ADHjh3L1GOkpKTg5cuXsLOzS3Ofd+/e4cWLFyoXIiIi0l+SFTfx8fFITk6Gg4ODynYHBwfExsZm6jF+//13vH79Gu3bt09zn+nTp8PW1lZ5cXJyylFuIiIikjfJOxQrFAqV60IItW2arFu3DhMnTkRwcDAKFCiQ5n5jxoxBQkKC8hIdHZ3jzERERCRfRlI9cb58+WBoaKjWShMXF6fWmvO54OBg9OrVCxs2bEC9evXS3dfU1BSmpqY5zktERES6QbKWGxMTE3h7e2Pv3r0q2/fu3YsaNWqkeb9169ahe/fuWLt2LZo0afKlYxIREZGOkazlBgCGDRuGrl27olKlSqhevTr++OMPREVFoU+fPgA+nlJ68OABgoKCAHwsbPz9/TF37lxUq1ZN2epjbm4OW1tbyV4HERERyYekxU2HDh3w5MkTTJo0CTExMfDw8EBoaCicnZ0BADExMSpz3ixduhRJSUno378/+vfvr9zerVs3rFq1StvxiYiISIYkLW4AoF+/fujXr5/G2z4vWA4cOPDlAxEREZFOk3y0FBEREVFuYnFDREREeoXFDREREekVFjdERESkV1jcEBERkV5hcUNERER6hcUNERER6RUWN0RERKRXWNwQERGRXmFxQ0RERHqFxQ0RERHpFRY3REREpFdY3BAREZFeYXFDREREeoXFDREREekVFjdERESkV1jcEBERkV5hcUNERER6hcUNERER6RUWN0RERKRXWNwQERGRXmFxQ0RERHqFxQ0RERHpFRY3REREpFdY3BAREZFeYXFDREREeoXFDREREekVFjdERESkV1jcEBERkV5hcUNERER6hcUNERER6RUWN0RERKRXWNwQERGRXmFxQ0RERHqFxQ0RERHpFRY3REREpFdY3BAREZFeYXFDREREeoXFDREREekVFjdERESkV1jcEBERkV5hcUNERER6hcUNERER6RUWN0RERKRXWNwQERGRXmFxQ0RERHqFxQ0RERHpFRY3REREpFckL24WLVoEV1dXmJmZwdvbG4cPH05z35iYGHTu3Blubm4wMDDAkCFDtBeUiIiIdIKkxU1wcDCGDBmCsWPH4ty5c6hZsyb8/PwQFRWlcf93794hf/78GDt2LMqXL6/ltERERKQLJC1uZs2ahV69eqF3794oU6YM5syZAycnJyxevFjj/i4uLpg7dy78/f1ha2ur5bRERESkCyQrbt6/f4/w8HA0aNBAZXuDBg1w7NixXHued+/e4cWLFyoXIiIi0l+SFTfx8fFITk6Gg4ODynYHBwfExsbm2vNMnz4dtra2youTk1OuPTYRERHJj+QdihUKhcp1IYTatpwYM2YMEhISlJfo6Ohce2wiIiKSHyOpnjhfvnwwNDRUa6WJi4tTa83JCVNTU5iamuba4xEREZG8SdZyY2JiAm9vb+zdu1dl+969e1GjRg2JUhEREZGuk6zlBgCGDRuGrl27olKlSqhevTr++OMPREVFoU+fPgA+nlJ68OABgoKClPeJiIgAALx69QqPHz9GREQETExM4O7uLsVLICIiIpmRtLjp0KEDnjx5gkmTJiEmJgYeHh4IDQ2Fs7MzgI+T9n0+542Xl5fy/+Hh4Vi7di2cnZ1x9+5dbUYnIiIimZK0uAGAfv36oV+/fhpvW7Vqldo2IcQXTkRERES6TPLRUkRERES5icUNERER6RUWN0RERKRXJO9zQ18X74CgjHfSovBf/aWOQEREuYwtN0RERKRXWNwQERGRXmFxQ0RERHqFxQ0RERHpFRY3REREpFdY3BAREZFeYXFDREREeoXFDREREekVFjdERESkV1jcEBERkV5hcUNERER6hcUNERER6RUWN0RERKRXWNwQERGRXmFxQ0RERHqFxQ0RERHpFRY3REREpFdY3BAREZFeYXFDREREeoXFDREREekVFjdERESkV1jcEBERkV5hcUNERER6hcUNERER6RUWN0RERKRXWNwQERGRXmFxQ0RERHqFxQ0RERHpFRY3REREpFdY3BAREZFeMZI6AJHceQcESR1BRfiv/lJHICKSNbbcEBERkV5hcUNERER6hcUNERER6RUWN0RERKRXWNwQERGRXmFxQ0RERHqFxQ0RERHpFRY3REREpFdY3BAREZFeYXFDREREeoXFDREREekVFjdERESkVyQvbhYtWgRXV1eYmZnB29sbhw8fTnf/gwcPwtvbG2ZmZihWrBiWLFmipaRERESkCyQtboKDgzFkyBCMHTsW586dQ82aNeHn54eoqCiN+0dGRqJx48aoWbMmzp07h59++gmDBg3Cpk2btJyciIiI5MpIyiefNWsWevXqhd69ewMA5syZg927d2Px4sWYPn262v5LlixB0aJFMWfOHABAmTJlcObMGfz2229o06aNNqMTyZp3QJDUEVSE/+ovdQQi+opIVty8f/8e4eHhGD16tMr2Bg0a4NixYxrvc/z4cTRo0EBlW8OGDbF8+XJ8+PABxsbGXywvEX1ZuliQyS0zoJu5mVk79DWzJpIVN/Hx8UhOToaDg4PKdgcHB8TGxmq8T2xsrMb9k5KSEB8fj0KFCqnd5927d3j37p3yekJCAgDgxYsXKvslv3uTrdfxpXyeTxNmzjlm1g5m1h5dzM3M2qHrmVP/L4TI+I5CIg8ePBAAxLFjx1S2T5kyRbi5uWm8T8mSJcW0adNUth05ckQAEDExMRrvM2HCBAGAF1544YUXXnjRg0t0dHSGNYZkLTf58uWDoaGhWitNXFycWutMqoIFC2rc38jICPb29hrvM2bMGAwbNkx5PSUlBU+fPoW9vT0UCkUOX4WqFy9ewMnJCdHR0bCxscnVx/5SmFk7mFk7mFl7dDE3M2vHl8oshMDLly/h6OiY4b6SFTcmJibw9vbG3r170apVK+X2vXv3okWLFhrvU716dWzbtk1l2549e1CpUqU0+9uYmprC1NRUZVuePHlyFj4DNjY2OvNLmIqZtYOZtYOZtUcXczOzdnyJzLa2tpnaT9Kh4MOGDcOyZcuwYsUKXL16FUOHDkVUVBT69OkD4GOri7///zoT9enTB/fu3cOwYcNw9epVrFixAsuXL8eIESOkeglEREQkM5IOBe/QoQOePHmCSZMmISYmBh4eHggNDYWzszMAICYmRmXOG1dXV4SGhmLo0KFYuHAhHB0dMW/ePA4DJyIiIiVJixsA6NevH/r166fxtlWrVqltq1WrFs6ePfuFU2WPqakpJkyYoHYaTM6YWTuYWTuYWXt0MTcza4ccMiuEyMyYKiIiIiLdIPnaUkRERES5icUNERER6RUWN0RERKRXWNwQERGRXmFxQ0RKhw4dQlJSktr2pKQkHDp0SIJERERZx+KGdMbz58+xbNkyjBkzBk+fPgUAnD17Fg8ePJA4mf7w9fVVHttPJSQkwNfXV4JEaZs5cybevPnfIn+HDh1SWST35cuXaU4zIZVTp04hOTlZef3zwarv3r3D+vXrtR0rWw4ePIjQ0FA8e/ZM6ijpun79OgYMGIC6deuiXr16GDBgAK5fvy51LL2RmJiI/v37o3DhwihQoAA6d+6M+Ph4qWNxKHhueP78OTZu3Ijbt28jICAAdnZ2OHv2LBwcHFC4cGGp42l0+/ZtrFy5Erdv38bcuXNRoEAB7Nq1C05OTihbtqzU8dRcuHAB9erVg62tLe7evYvr16+jWLFiGDduHO7du4egoCCpI+oFAwMDPHr0CPnz51fZfuPGDVSqVClTqwpri6GhIWJiYlCgQAEAH6d6j4iIQLFixQAAjx49gqOjo0oxITVdzPzrr7/i1atXCAwMBPCxIPPz88OePXsAAAUKFMC+fftk+b6xceNGdOrUCZUqVUL16tUBACdOnMDp06exdu1atGvXTuKEqlq3bp2p/UJCQr5wkswLCAjAokWL0KVLF5ibm2Pt2rWoXbs2NmzYIGkuySfx03Wff+h+//33sLOzw+bNm2X7oXvw4EH4+fnBx8cHhw4dwtSpU1GgQAFcuHABy5Ytw8aNG6WOqGbYsGHo3r07Zs6cCWtra+V2Pz8/dO7cWcJkacubN6/GxVkVCgXMzMxQokQJdO/eHT169JAgnarUN1WFQoHu3burTL6VnJyMCxcuoEaNGlLF0+jz72W68D0tM5nl9jrWrVuHUaNGKa9v3LgRhw4dwuHDh1GmTBn4+/sjMDBQli1OI0eOxJgxYzBp0iSV7RMmTMCoUaNkV9x8vm7S2rVr0axZM5X3PLkJCQnB8uXL0bFjRwBAly5d4OPjg+TkZBgaGkqWi8VNDunih+7o0aMxZcoUDBs2TCWzr68v5s6dK2GytJ0+fRpLly5V2164cGG1leLlYvz48Zg6dSr8/PxQpUoVCCFw+vRp7Nq1C/3790dkZCT69u2LpKQkfP/995JmTX1TFULA2toa5ubmyttMTExQrVo1yTN+LTQVxFKKjIxEuXLllNdDQ0PRpk0b+Pj4AAB+/vln2RUJqWJjY1XWJ0z13Xff4ddff5UgUfpWrlypcn3jxo2YOXOmsmVPjqKjo1GzZk3l9SpVqsDIyAgPHz6Ek5OTZLlY3OSQLn7oXrx4EWvXrlXbnj9/fjx58kSCRBkzMzPTeErk+vXraqdQ5OLIkSOYMmWKciHYVEuXLsWePXuwadMmlCtXDvPmzZO8cEh9U3VxccGIESNgaWkpaR6Sjw8fPqi05B0/fhyDBw9WXnd0dJRFHwtNateujcOHD6NEiRIq248cOaLygUzZl5ycDBMTE5VtRkZGGgcmaBOLmxzSxQ/dPHnyICYmBq6urirbz507J9s+Qi1atMCkSZOUTd8KhQJRUVEYPXq0bBdO3b17N3755Re17XXr1sXw4cMBAI0bN8bo0aO1HS1NI0eOVDktcu/ePWzevBnu7u5o0KCBhMk0W7ZsGaysrAB8HNG1atUq5MuXD8DHDsVydOXKFeUXHyEErl27hlevXgGALIuEEiVK4NChQyhWrBiioqJw48YN1KpVS3n7/fv3YW9vL2HCtDVv3hyjRo1CeHg4qlWrBuBjn5sNGzYgMDAQW7duVdmXsk4IoXYq++3bt+jTp4/KlyRt9xNih+Ic+uGHH/D48WOsX78ednZ2uHDhAgwNDdGyZUt8++23mDNnjtQR1YwcORLHjx/Hhg0bUKpUKZw9exaPHj2Cv78//P39MWHCBKkjqnnx4gUaN26My5cv4+XLl3B0dERsbCyqV6+O0NBQWbY0FC1aFEOHDsXQoUNVts+ePRuzZ89GVFQULly4gAYNGsimla9BgwZo3bo1+vTpg+fPn8PNzQ0mJiaIj4/HrFmz0LdvX6kjKrm4uGTqFE5kZKQW0mSOgYEBFAqFxn41qdsVCoWsOhQvXboUw4cPR4cOHXDixAnkyZMHR48eVd4+ZcoUnDx5Etu2bZMwpWYGBpkbECy3Y57K2toa58+fl/Vpqcz2Gfz8lNuXxuImh3TxQ/fDhw/o3r07/vnnHwghYGRkhOTkZHTu3BmrVq2StBNYRvbv34+zZ88iJSUFFStWRL169aSOlKY///wTffv2RePGjVGlShUoFAqcOnUKoaGhWLJkCXr16oXff/8dp06dQnBwsNRxAQD58uXDwYMHUbZsWSxbtgzz58/HuXPnsGnTJowfPx5Xr16VOqJOu3fvXqb2c3Z2/sJJsmb58uXYvn07ChYsiAkTJqBgwYLK2/r164f69eujVatWEibUD5+2JAFAp06dMGfOHDg4OKhsZytTxljc5BJd+tBNdfv2bZw7dw4pKSnw8vJCyZIlpY6kd44ePYoFCxbg+vXrEEKgdOnSGDhwoOxGHqWysLDAtWvXULRoUbRv3x5ly5bFhAkTEB0dDTc3NyQmJkodUalOnToICQlBnjx5pI6SaZMmTcKIESNgYWEhdZRMCwoKQocOHVROO9CXkZmWJrm2MskNixvSGadOncKBAwcQFxeHlJQUldtmzZolUSrNPnz4gB9++AHjxo2TdZPy58qVK4fevXujVatW8PDwwK5du1C9enWEh4ejSZMmsjl9Bnz8IIiNjVXOGaMLPp/nRhfoWuZ58+bhhx9+gJmZGebNm5fuvoMGDdJSKv3l6+ur8fSwra0t3Nzc0L9/f0lGTbG4yQW69KELfOwAtnHjRoSFhWnMLKcJolJNmzYNP//8M9zc3ODg4KDyx6RQKLB//34J02mWJ08enD17VqeKm40bN6Jz585ITk5G3bp1lRO1TZ8+HYcOHcLOnTslTvg/uljcMPOX5+rqijNnzsDe3l5t0MSnFAoF7ty5o8VkGevZsyfmzp0r63ltPvd5n8JUz58/R3h4OO7cuYMjR46gQoUKWs3F4iaHdPFDd9CgQfjjjz/g6+urlhnQfsevzHBwcMAvv/yC7t27Sx0l03r06AFPT08MGzZM6ihZEhsbi5iYGJQvX17ZTH7q1CnY2NigdOnSEqf7HwMDA9y8eTPDUYk2NjZaSpSxtGaAljNdzKyrdK2VLDNS5/QKDQ3V6vOyuMkhXfzQtbOzw19//YXGjRtLHSXTChUqhEOHDulUv6CpU6fit99+Q926deHt7a3WuZxN4jmTOvIoLXIceWRgYAAPDw8YGaU/C8fZs2e1lChjBgYG8PPzy7DPjdxafD98+AA3Nzds374d7u7uUsfJFF1rJcuMCxcuoGHDhoiJidHq83KemxwyMDBQztSpK2xtbXXqVAnwselz4cKFshxan5Zly5YhT548CA8PR3h4uMptCoVCNsVN69atsWrVKtjY2GS4to3cPsA2btwIOzs7qWNkScOGDZVz8+iKz2et1gXGxsZ49+6d7GZ8zoiu5c2Iubk53r59q/XnZctNDs2cORMPHz7UqQ/d1atXY9euXVixYoXOvGGlpKSgSZMmuHHjBtzd3WFsbKxyu9w+dHVJjx49MG/ePFhbW2c4Z4WcTlnq4rdcZtauGTNm4Nq1a1i2bFmGrWVyYGBgAFtb2wwLnKdPn2opUc4tXLgQQUFBOHnypFafV/4/bZkbMWIEmjRpguLFi+vMh267du2wbt06FChQAC4uLmqZ5dQknmrgwIEICwuDr68v7O3tde7bTep3CDnm/rRgkVPxoo/k+PPPiC5mTnXy5Ens27cPe/bsgaenp9qpYTm+PwcGBqotoClnn8/NkyohIQGnT5/G8uXLsWrVKu2GAoubHNPFD93u3bsjPDwc3333ncYOxXIUFBSETZs2oUmTJlJHyZKgoCD8+uuvuHnzJgCgVKlSCAgIQNeuXSVOpvucnZ1lPeGkJrrYUK6LmVPlyZNHtsuzpKVjx4461UrWsmVLjdutra1RunRprFq1SpKFVVnc5JAufuju2LEDu3fvxjfffCN1lEyzs7ND8eLFpY6RJbNmzcK4ceMwYMAA+Pj4QAiBo0ePok+fPoiPj09zCKW2eXl5ZbrAlVOrnpyWVcisyMhInRt1FBYWpnP9mlLpWkukLnzR/NznU4nIBYubHNLFD10nJydZDY/NjIkTJ2LChAlYuXKlzszuOn/+fCxevBj+/v7KbS1atEDZsmUxceJE2RQ3aX3zkruKFStmaj85FWRz587N1H5ymh8rOTkZ5cqVw4kTJ9TeNxISElCjRg0sWbKEq2znAl1uJZMbdijOoZUrV2LXrl069aG7Y8cOzJ8/H0uWLIGLi4vUcTLFy8sLt2/fhhBCZ/oJmZmZ4dKlSyhRooTK9ps3b8LT01OSEQS5Zd26dWjevLmka6dNnDgxU9905bQQrK+vb4b7yG1+rBYtWqB27dppFuPz5s1DWFgYNm/erOVkmulqS6SuCgoKytR+n37J0wYWNzmkix+6efPmRWJiIpKSkmBhYaGWWY498QMDA9O9XU4fYKk8PDzQuXNn/PTTTyrbp0yZguDgYFy8eFGiZDlnY2ODiIgInZtSgLLO2dkZu3btQpkyZTTefu3aNTRo0ABRUVFaTqbZp+8Vb9++xaJFi+Du7o7q1asDAE6cOIHLly+jX79+mD59ulQxNapTp47G7VIvZZCevHnzpnmbQqHA69evkZSUpPX5pnhaKod0sUlfl4atp5Jj8ZKRwMBAdOjQAYcOHYKPjw8UCgWOHDmCffv2Yf369VLHyxE5fCeqUKECevfujS5duqT7BisnQ4YMQe/eveHh4SF1lEx79OiR2hegTxkZGeHx48daTJS+T98revfujUGDBmHy5Mlq+0RHR2s7WobKly+vcfvz588RGhqKBQsWSLKUQXqePXumcXtMTAwCAwOxYsUK1K9fX8upAAgi+mLOnDkjunTpIipWrCi8vLxEly5dxNmzZ6WOlWNWVlbi9u3bkmb44YcfhK2trTAzMxMdO3YU//33n6R5MsPNzU0YGBiIypUri6VLl4qEhASpI2WoWLFiIiQkJM3bN23aJFxdXbWYKPNsbGzEjRs31LbfuHFD2NjYSJAoZ/r16yf8/PykjpGuFy9eiLFjxworKytRtWpVsX//fklysLj5Snz6JpqQkJDuRS7y5s0rHj9+LIQQIk+ePCJv3rxpXnTZ9OnTxbNnz6SOkSVyKG6EEOLNmzciKChI+Pr6CgMDA+Hs7CwCAwPFvXv3pI6WpiNHjoiePXsKa2trYWlpKbp27SoOHjwodaw0DRgwQHh4eIg3b96o3ZaYmCg8PDzEwIEDJUiWMQcHB7FixQq17StWrBAFChSQIFHOnD9/XhQsWFDqGBq9e/dO/P7778Le3l64ubmJDRs2SJqHfW6ywc7ODjdu3EC+fPmQN2/edDuvyaX/yqcLsqW1Jo+Q2Vo8q1evRseOHWFqaopVq1ale5y7deumxWS5Sxf7r1hbW+P8+fOyyhwZGYkVK1YgKCgIDx48QN26ddGrVy+0b99e6mgaJSYmIjg4GCtXrsSRI0dQvHhx9OrVC/7+/nB0dJQ6ntKjR49QsWJFGBoaYsCAAXBzc4NCocDVq1excOFCJCcn4+zZs3BwcJA6qpoZM2Zg4sSJ6N27N6pVqwbgY5+bFStWYPz48Rg9erTECbPm5s2bqFKlSpqngqQghEBQUBDGjx+PpKQkTJgwAb169ZJ8DioWN9mgix+6Bw8ehI+PD4yMjHDw4MF0961Vq5aWUhEgz0IhI3LOLITApk2b8OOPP+L58+eyKdbTc/v2baxYsQKLFy/Gq1ev8P79e6kjqbh37x769u2L3bt3q8y23bBhQyxatEjWoy7Xr1+PuXPn4urVqwCAMmXKYPDgwbItetMj1VIG6SlXrhxu376NgQMHYsiQIWmOGtb29CMsbr5CUVFRcHJyUivKhBCIjo5G0aJFJUqWtk9bnj715MkTFChQQCc+wNIi50IhLR4eHti5c6fsRm6EhYVh5cqVCAkJgZGRETp27IglS5ZIHStdr1+/RnBwMFasWIFjx47Bzc1N+UEsN8+ePcOtW7cghEDJkiV1piN3RuQwtQGQ+aUMpJjxNy0GBgbK/8vpjACLmxzSxQ9dXcyc1uJ9Dx8+RPHixfHmzRuJkuWcLhY3chIVFYVVq1Zh1apVuHv3LmrWrIlevXqhXbt2sl4Y9tChQ1i5ciU2btwI4OOab7169YKPj4/EybJGCIHHjx/r1JIBn5PLqeFPC4VPpS5lMGLECFkVNgAyPBOQSttnBDgUPIfSqg3fvXsHExMTLafJnNRK+nOvXr2CmZmZBInSNm/ePAAfvxEsW7YMVlZWytuSk5Nx6NAhlC5dWqp4eietPmQKhQJmZmYoUaIEunfvnuHq4dqwdu1arFy5EmFhYXBwcIC/vz969eqlNmminNy/fx+rV6/GqlWrcPv2bVStWhWzZ89Gx44dVX635cTCwgL37t1TLhvRqFEjrFy5EoUKFQIAxMXFwdHRUZZfijJLLt/x5bqUQXrk2o2BxU026eKH7rBhwwB8zDxu3DiVc6PJyck4efKkrOZPAIDZs2cD+Pjms2TJEpVOaiYmJnBxcZH9aQddMn78eEydOhV+fn6oUqUKhBA4ffo0du3ahf79+yMyMhJ9+/ZFUlISvv/+e0mzdu/eHU2aNMG///6Lxo0bp/mtV05cXFxgb2+Prl27olevXmlOjCcnb9++VfnwP3r0qFpLqVyKA3335MkTrFmzBkOGDJE6SpouX76sUugaGhqibNmyWs/B4iabdPFD99y5cwA+Zr548aJKy5KJiQnKly+PESNGSBVPo9TFEX19fRESEqIz5/iTkpLw999/o2HDhihYsGC6+9asWVM2p0+OHDmCKVOmoE+fPirbly5dij179mDTpk0oV64c5s2bJ3lxc//+fZ07FbJ+/Xo0b94cRkb69dariws+6gohBPbs2YPly5djy5YtsLGxkVVxc/jwYQwbNgynT58GAFSrVg2JiYkqHc93796NevXqaTUX+9zkkK596AJAjx49MHfu3Ax7r9+/fx+Ojo468Y04lVzOnQMfm/OvXr0KZ2dnqaNkmpWVFSIiItRO7dy6dQsVKlTAq1evcPv2bZQrVw6vX7+WKOVHhw4dytR+33777RdOot8+7+/2eR+xR48e6fxpKTn2e7t79y5WrFiBVatW4cGDB+jSpQv8/f3h6+sr+TDrT3Xq1AnVq1fHoEGDAHw8ljt27ICzszOEEJg3bx7u3buHTZs2aTWXfn19kEBYWFim9pPTh+7KlSsztZ+7u7tsMmeWnGr1qlWrIiIiQqeKGzs7O2zbtk1tkcRt27bBzs4OwMfRPdbW1lLEU1G7du00b0ttSVAoFEhKStJSooylNcfUp+SWWaFQqGT+/Drlnnfv3iEkJATLli3DsWPH4Ofnh1mzZqFTp04YPXo03N3dpY6o5vTp0xg8eLDKtiJFiijf97p27YomTZpoPReLGy2R04duZuliZjnp168fhg0bhujoaHh7e6sNMy1XrpxEydI2btw49O3bF2FhYahSpQoUCgVOnTqF0NBQ5WnWvXv3yqITYVoTmSUmJmLu3LmYN2+e7ArzkJCQNAuDY8eOYf78+bL7uxNCoFSpUsrcr169gpeXl7JFV255s8PZ2Tnd9bO0pXDhwnB3d8d3332HjRs3Ks8IdOrUSeJkaXvw4IGycznwcR64T0/F29nZ4cmTJ1rPxeKG6Avp0KEDACiba4GP33rlNhP0p77//nu4u7tjwYIFCAkJgRACpUuXxsGDB1GjRg0AwPDhwyVO+ZGtra3K9ZSUFKxYsQKBgYEwMDDAwoULZTOJZipNC+1eu3YNY8aMwbZt29ClSxe1RR6lltmWXl126dIlqSMA+DiwI7VlTE6nntJjbW2NyMhIZUtN69atVW6PjIzU+gR+AIsboi8mtTO0rvHx8dG5uVZCQkLw008/4fHjxxgzZgwGDhwIU1NTqWOl6+HDh5gwYQJWr16Nhg0bIiIiQparhcutQMwKXZraAPi4kvamTZuwfPlyDB48GH5+fvjuu+9kfRqwatWqCAoKSvM08apVq1C1alXthgKLG9IzcnoT0KW+Np9KSUnBrVu3EBcXpzbvhtw65x48eBCjRo3CxYsXMXjwYIwaNUqtRUduEhISMG3aNMyfPx8VKlTAvn37ULNmTalj6SVdmtoAAMzMzNClSxd06dIFt2/fxsqVKzFo0CAkJSVh6tSp6N69O+rUqSOrVp1hw4ahXr16sLe3R0BAgLLjeVxcHH755Rf89ddf2LNnj/aDfcFFOekT1tbWslhFOSt0MbNcVqtOFRQUJGrUqCEKFSok7t69K4QQYvbs2eLff/+VOJlmx48fF66ursLAwEAoFAqVi4GBgdTxVPj5+QkTExPx448/ipiYGKnjZMovv/wi7OzshLu7u2x/Bz6XJ08ekTdv3nQv+fPnF56enmLYsGGyWuG+devWYvHixWrblyxZIlq3bi2EEGLevHnCw8ND29EyLTk5WYSGhoo2bdoIExMTYW9vL3UkNQsXLhQmJibCwMBA+ftiYGAgTExMxPz58yXJxKHgWiLHoYYZ0cXMR44cQeXKlWVxSmLx4sUYP348hgwZgqlTp+LSpUsoVqwYVq1ahdWrV2d6pJ02VahQAaVKlUJgYCAKFSqk1hImp1YRAwMDGBkZwdLSMt0Wu6dPn2oxVfoMDAxgbm6OevXqpfvtOyQkRIup0rd69eoM90lJSUFcXBxWrlwJLy8vrFu3TgvJMqZLUxtkxuPHj7FmzRrlhKxyWRMLAKKjo7Fx40bcvHkTAFCyZEm0bdtWsvXnWNxoiZw+dDMrOjoajo6OsmgCTU5OxqpVq7Bv3z6Np0v2798vUbK0ubu7Y9q0aWjZsqVKoXjp0iXUrl0b8fHxUkdUY2lpifPnz8t6CYNUmfnQBeTVZ6R79+6ZOnWqq514z549i/r160syOkaTokWLYujQoWpTG8yePRuzZ89GVFQULly4gAYNGiA2NlailNknpylG5IZ9brIhtWrOjFmzZgEAvvnmmy8VJ8tev36NGTNmpFko3LlzBwBkteLz4MGDsWrVKjRp0gQeHh6y6luTlsjISHh5ealtNzU1le23xKpVq+LWrVs6UdzIqWjJrFWrVkkdIdvevHmDvXv34saNG1AoFChVqhTq1aunMrt2mTJlMH78eAlTqtKlqQ2yQw5tE2mtZP655s2bf+EkqljcZEPqMgapwsPDkZycDDc3NwDAjRs3YGhoCG9vbyniZah37944ePAgunbtqvHUgxz9888/WL9+PRo3bix1lExzdXXVOInfzp07ZTkZFwAMHDgQw4cPR2xsLDw9PdXm/pDj3Dz05W3duhW9e/dWa23Mly8fli9fjmbNmgEAzM3N1SZ0k5IuTW2gqzRNb/A5Kaa+YHGTDZ/2lZg1axasra2xevVq5YRLz549Q48ePWQ7AmLnzp3YsWOHTg33NTEx0YnWhE8FBASgf//+yoUHT506hXXr1mH69OlYtmyZ1PE0atOmDQCgZ8+eym1ynZsnrWG+n5NTn5vP5wBJi5z63Bw7dgxt27ZF8+bNMXz4cOVin1euXMHvv/+Otm3b4sCBA6hevbrESTXTxakNdIlcVzJnn5scKly4MPbs2aO26umlS5fQoEEDPHz4UKJkaXN1dUVoaKhOrEic6vfff8edO3ewYMECnWhpSvXnn39iypQpiI6OBvDx92XixIno1auXxMk0u3fvXrq3y2l4uy72ucnsfCpy6nPTuHFjODk5YenSpRpv//HHHxEdHY3Q0FAtJ8scXZraIKt0cdCHtrC4ySFra2ts2bIFderUUdm+f/9+tGjRAi9fvpQoWdr++usvbNmyBatXr4aFhYXUcTKlVatWCAsLg52dHcqWLat2ukRO33Q1iY+PR0pKis6tYq1P5DSyJLPksHht3rx5cejQIXh6emq8/cKFC6hVq1aay2FI6cSJE+jcuTPu3bun1j9Fbi2R2SGH4ubWrVtISEhQ6Yaxb98+TJkyBa9fv0bLli3x008/aT0XT0vlUKtWrdCjRw/8/vvvqFatGoCPf1ABAQGZboLWtt9//x23b9+Gg4MDXFxc1AqFs2fPSpQsbXny5EGrVq2kjpEtcXFxuH79unJa9fz580sdScXWrVvh5+cHY2PjDDsHartTYG768ccfUbVqVZ36liuHxWvfvn2b7vT5tra2ePfunRYTZV6fPn1QqVIl7NixQ2f6F2aFHNbECggIgIeHh7K4iYyMRLNmzVCzZk2UK1cO06dPh4WFBYYMGaLVXCxucmjJkiUYMWIEvvvuO3z48AEAYGRkhF69euHXX3+VOJ1mmekAJjdyaqbPrBcvXqB///5Yt26dsjnc0NAQHTp0wMKFC2UzZ0zLli0RGxuLAgUKpPu7oevfdHWxkVoOmUuVKoX9+/eneUpt3759su0Pd/PmTWzcuFG2+T536tQpeHt7K6ffSO3rlurdu3fYsmUL2rdvD0Aea2KdOXMGI0eOVF7/+++/UapUKezevRvAx0EI8+fP13pxwxmKc8mrV6/E+fPnRUREhHj16pXUcfRWXFycOHz4sDhy5IiIi4uTOk662rVrJ0qWLCl27dolEhISxIsXL8SuXbuEm5ubaNeundTxvjpym706M+SQedasWcLOzk7s2LFD7bbt27cLe3t7MWvWLAmSZczX11fs3LlT6hiZZmBgIB49eqS8/vks8bGxsbKbKdzMzExERUUpr9epU0f8/PPPyuu3bt0Stra2Ws/FlptcEhMTg5iYGHz77bcwNzdXq7jlKDw8HFevXoVCoYC7u7vGOVnk4vXr1xg4cCCCgoJUWkH8/f0xf/58WfYd2rFjB3bv3q0yx1HDhg3x559/olGjRhImI8q8wYMH49ixY2jatCnc3NxURkvdvHkTLVu2lNXw70/p2tQG4rOWus+vp7VNSnZ2doiJiYGTkxNSUlJw5swZlUkT379/L0lmFjc59OTJE7Rv3x5hYWFQKBS4efMmihUrht69eyNPnjz4/fffpY6oJi4uDh07dsSBAweQJ08eCCGQkJAAX19f/PPPP7LrEwJ8nDjx4MGD2LZtm3JY55EjRzBo0CAMHz4cixcvljihOnt7e42nnmxtbZXTBsjBvHnzMr3voEGDvmASkiMDAwNs2LABwcHBWLduHa5duwYAKF26NCZOnIiOHTtKnDBtujS1QWbJ7UtzrVq1MHnyZCxatAgbNmxASkoKfH19lbdfuXIFLi4uWs/F4iaHhg4dCmNjY0RFRakMre7QoQOGDh0qy+Jm4MCBePHiBS5fvqzyLaxbt24YNGiQbNaF+dSmTZuwceNG1K5dW7mtcePGMDc3R/v27WVZ3Pz8888YNmwYgoKCUKhQIQBAbGwsAgICMG7cOInT/c/s2bMztZ9CoWBxo2Vy+iDr0KEDOnToIHWMLImMjJQ6gt6bOnUq6tevDxcXFxgYGGDevHkqIxLXrFmjNppYG1jc5NCePXuwe/duFClSRGV7yZIlM5wzRCq7du3Cf//9p1KMubu7Y+HChWjQoIGEydKWmJgIBwcHte0FChRAYmKiBIkytnjxYty6dQvOzs4oWrQoACAqKgqmpqZ4/PixyrwhUo5Q+1o+AOQwsiSr5HYKQpOzZ89i/Pjx2L59u9RR1MhpXqbMunLlinKdKyEErl27hlevXgGALNejc3V1xdWrV3HlyhXkz58fjo6OKrcHBgaqfT5qA4ubHHr9+rXG/h7x8fGyXSQzJSVF45u8sbGxbGebrF69OiZMmICgoCCYmZkB+LjWTWBgoGxnRtXFUWm67OXLlyrFgIGBAaysrJTX5TCyxNDQEDExMZme7+jKlStqHxZS2Lt3L/bs2QNjY2P07t0bxYoVw7Vr1zB69Ghs27YN9evXlzqikq5PbVC3bl2V3+OmTZsCUD2dJjfGxsYoX768xts+366txT45iV8ONWnSBBUrVsTkyZNhbW2NCxcuwNnZGR07dkRKSgo2btwodUQ1LVq0wPPnz7Fu3TrlG+eDBw/QpUsX5M2bF5s3b5Y4obpLly6hUaNGePv2LcqXLw+FQoGIiAiYmZlh9+7dajNE6xKpJ5cbNmwYJk+eDEtLywwXhU1dCFYOIiIiMHbsWOzYsQPAxwnNPm3FUygUOH78OCpXrixVRDUGBgbKYfe6YvXq1ejRowfs7Ozw9OlT5MuXD7NmzUK/fv3Qpk0bDB8+HB4eHlLHVPr0GKc3+aEc+9xktrVfF1ukUmlr4kEWNzl05coV1K5dG97e3ti/fz+aN2+Oy5cv4+nTpzh69CiKFy8udUQ10dHRaNGiBS5dugQnJycoFApERUXB09MTW7ZskaQJMTPevHmDv/76C9euXYMQAu7u7ujSpYvKqsS6SFvfZNLi6+uLzZs3I0+ePCodAT+nUCiwf/9+LSZLX69evVCiRAmMGTMGwMc3zaVLl6Jw4cIQQmDFihUQQmDNmjUSJ/0fXSxuKlSogI4dO2L06NFYv349OnbsCC8vL6xfv16W72/67NmzZ9i2bRv8/f2ljpJtLG50SGxsLBYvXozw8HCkpKSgYsWK6N+/v7ITqVzt3btXpVCoV6+e1JG+SnKYQl0XlS5dGn/++adygdrPj+PJkyfRvn17WfV9MzAwwOrVqzOcwFFOp0tSW6RdXV2RkpICU1NT/Pfff6hVq5bU0TIUFBSEDh06qHUReP/+Pf755x+dKxLOnz+PihUryq7FKStY3NBXT9fPnWcWi5vssbS0xJUrV5RN9LNnz0avXr2USwVERUWhVKlSePv2rZQxVWRmjSi5nS75vLVJl35f0+rj9OTJExQoUEBWxzkzWNxkHjsU59CuXbtgZWWlnKht4cKF+PPPP5Wjj+Qyn8m8efPwww8/wMzMLMN5TeQy3PdrWRZAbk6fPo0NGzYgKioK79+/V7lNTguUmpqa4v79+8ri5tOJw4CPp1/lOLmjrp2WAoDdu3crW5tSUlKwb98+tQ7acvyCkVYH3Pv378tm+ZOvjbY6RLO4yaGAgAD88ssvAICLFy9i2LBhGD58OPbv349hw4bJZk2k2bNno0uXLjAzM0t3XhM5zWXy6cgtuY7i0jepTfUNGjTA3r170aBBA9y8eROxsbGyW7jUy8sL//77r3JSx8+FhITIbtZtOY50yYxu3bqpXP/xxx9VrsvtC4aXl5dyodq6devCyOh/H3XJycmIjIzkLOES0dbJIhY3ORQZGQl3d3cAHyeaa9asGaZNm4azZ8+icePGEqf7n0/nMtHFeU307dy5XE2bNg2zZ89G//79YW1tjblz58LV1RU//vij7PqQ9evXDx07doSLiwv69u2rPOWTnJyMRYsWYf78+Vi7dq3EKVXpYi8AXfxikdrSGxERgYYNG6pMCWBiYgIXFxfl7MVyklGr+oMHD7SUJPvev3+PyMhIFC9eXKWoTLVz504ULlz4ywfR0hpWeitv3rzi8uXLQgghfHx8xNKlS4UQQkRGRgpzc3Mpo6UpMDBQvH79Wm17YmKiCAwMlCBRxj5fUC5VfHy87BaSy6qyZcuqLDwnJQsLCxEZGSmEEMLe3l5cuHBBCCHElStXRMGCBSVMptnIkSOFQqEQNjY2okKFCsLLy0vY2NgIAwMDMWLECKnjqenevbt48eKF1DGy5e3btzq3KPCqVavEmzdvpI6RaS4uLpm6yNHr169Fz549haGhoTA0NFQu+Dlw4EAxffp0redhcZNDzZo1Ew0bNhSTJk0SxsbG4v79+0IIIXbv3i1KliwpcTrNdLFQUCgUGlcBj4iIEHnz5pUgUcaioqJEdHS08vrJkyfF4MGDlQWwHBUpUkRZ0JQrV06sXbtWCCHEsWPHhI2NjZTR0nT8+HExaNAg4efnJ/z8/MSgQYPE8ePHpY6lUXJysvjw4YPKttjYWDFx4kQREBAgDh8+LFGytD1+/Fg0btxYGBkZCQMDA1G9enXJVyrPimfPnok///xTjB49Wjx58kQIIUR4eLjyvZpyx6BBg4S3t7c4fPiwsLS0VP6ObNmyRVSoUEHreVjc5NC9e/dEkyZNRLly5cSyZcuU24cMGSIGDhwoYbK0pVUo7Nu3T+TLl0+CRGlL/TZuYGAgPD09hZeXl/JSrlw5YW1tLdq1ayd1TI2++eYbERQUJIQQIiYmRtjY2Ijq1asLe3t72baQderUSfz+++9CCCGmTJki8ufPL3r37i2cnZ1Fq1atJE6n+7p37y6+//575fUXL14IJycnkT9/flGuXDlhZGQkduzYIWFCdb179xYODg5i6tSp4vfffxclS5YU9erVkzpWppw/f17kz59flChRQhgZGSk/cH/++WfRtWtXidPpl6JFiyq/VFhZWSmP9c2bN4W1tbXW87DPTQ4VLVpU45oqmV2MUJvy5s2r7GRXqlQplc6NycnJePXqFfr06SNhQnW6eu4c+DircpUqVQAA69evh4eHB44ePYo9e/agT58+GD9+vMQJ1S1YsEA5dHrMmDEwNjbGkSNH0Lp1a1kt9pkZISEhmDhxIi5cuCB1FKWjR49iwYIFyutBQUFISkrCzZs3YWtri1GjRuHXX3+VVX+93bt3Y8WKFcpMjRs3hoeHBz58+CD7tbqGDh2K7t27Y+bMmbC2tlZu9/PzQ+fOnSVMptmbN2+wb98+5ZILY8aMwbt375S3GxoaYvLkycolaOTk8ePHGkcBvn79WpKO9CxuckFycjI2b96Mq1evQqFQoHTp0mjZsqXGzlRSmjNnDoQQ6NmzJwIDA1WGQqYWCnJbp2nChAkAABcXF3To0EGWf9Rp+fDhg7ID9H///accKlu6dGnExMRIGS1NdnZ2yv8bGBhg5MiRGDlypISJ0vfnn38q1zwaPHgwqlativ3792P48OG4fv06unbtKnVEFQ8ePEDJkiWV1/ft24c2bdoo/xa7desmmxGWqR4+fKgy6qx06dIwMTHBw4cPZb8MwJkzZ/DHH3+obS9cuLBycUo5CQoKwvbt25XFzYIFC1C2bFnlLOzXrl2Do6Oj2rQHclC5cmXs2LEDAwcOBPC/kYF//vmnNJ8rWm8r0jMXL14Urq6uwsLCQnm6xNLSUri4uCj7LsjNgQMHxPv376WOofeqVKkiRo0aJQ4dOiTMzMxERESEEOJjH5HChQtLnC59jx49EhcvXhTnz59XucjJr7/+KoyNjYW3t7ewsLAQFhYWYurUqcLe3l5MnDhRPH78WOqIauzs7JQDEIQQolChQuKvv/5SXr99+7bsBiIYGBionca2trYWd+7ckShR5hUoUECcPXtWCKF6qmT37t2iSJEiUkbTqGbNmiIkJER5/dPMQgixZs0aUa1aNSmiZejo0aPC2tpa9OnTR5iZmYnBgweLevXqCUtLS3HmzBmt52Fxk0NVq1YVzZo1E0+fPlVue/r0qWjevLlsfwk/lZiYKBISElQucpSUlCR+/fVXUblyZeHg4CDy5s2rcpGjsLAwkSdPHmFgYCB69Oih3D5mzBjZ9l85c+aMKFu2rDAwMBAKhULlIrfO5qVLlxbLly8XQnw81gqFQtStW1c8e/ZM2mDp8PX1FaNHjxZCCHHo0CFhYGAgHj58qLx9z549onjx4lLF00ihUKj1dzM0NBRly5ZV2SZH33//vWjZsqV4//69sLKyEnfu3BH37t0TXl5eYvDgwVLHU+Pg4CAuXbqkvJ4vXz7l6EUhhLh+/bpsO/YLIcSFCxeEv7+/KFu2rChTpozo0qWLZF/yufxCDpmbm+PMmTNqq1JfunQJlStXxps3byRKlrbExESMHDkS69evx5MnT9Rul9NkXKnGjx+PZcuWYdiwYRg3bhzGjh2Lu3fv4t9//8X48eNlM/FgKiEEoqKikDdvXiQnJ6vMVH337l1YWFjIcpbacuXKoUSJEhg1ahQcHBzUzpXL6TSEhYUFrl27hqJFiwL4OGPxoUOHULVqVYmTpS0sLAyNGzeGo6MjYmJi0KlTJyxfvlx5e79+/fD69WusXr1awpSqAgMDM7Vf6ilkOXnx4gUaN26My5cv4+XLl3B0dERsbCyqV6+O0NBQWFpaSh1Rhbm5OSIiIuDm5qbx9mvXrqFChQqyWlJEruTVKUQHubm54dGjR2rFTVxcHEqUKCFRqvQFBAQgLCwMixYtgr+/PxYuXIgHDx5g6dKlmDFjhtTxNPr777/x559/okmTJggMDESnTp1QvHhxlCtXDidOnJBlcVOyZElcvnxZpY8F8LH/kFxFRkYiJCREtr+7n3r79q1KHywTExPkz59fwkQZ8/X1RXh4OPbu3YuCBQuiXbt2KrdXqFBB2QldLrJatBw9ehSVKlVSm3BTCjY2Njhy5Aj279+Ps2fPKhc2rlevniwnVCxSpAguXbqUZnFz4cIFFClSRMupMic0NBSGhoZo2LChyvbdu3cjJSUFfn5+2g0kSXuRHtmxY4coW7as2LBhg4iOjhbR0dFiw4YNwtPTU+zYsUOWp3ucnJxEWFiYEOLjufObN28KIYQICgoSfn5+EiZLm4WFhbh3754QQoiCBQuK8PBwIcTHPgpybaZ1d3eX7XwraWnRooXYuHGj1DEyRaFQiKlTp4q5c+eKuXPnCjMzMzFu3Djl9dQLaZe1tbVs5sGZNm2axu1JSUmiY8eOWk6TsUGDBgl3d3eNEw8mJiYKd3d3MWjQIAmSZSz1M+9zO3fuFOXKldN6Hp6WyqFPV/lNbcJPPaSfXpfT2itWVla4fPkynJ2dUaRIEYSEhKBKlSqIjIyEp6cnXr16JXVENW5ubggKCkLVqlVRs2ZNNGnSBKNHj0ZwcDAGDhyIuLg4qSOq2bFjB2bMmIHFixfDw8ND6jiZEh8fj27duqFKlSrw8PBQG+orp8URXVxcMhxiqlAocOfOHS0lyli/fv0wc+ZM5ZQGa9asQatWrZTXnz9/js6dOyM0NFTKmDkip1XDHRwcMHnyZPzwww/KbcnJyejYsSMuXbqEq1evSphO3aNHj1ChQgWYmJhgwIAByik7rl27hgULFiApKQnnzp2Dg4OD1FHVmJub4+rVq2ot03fv3kXZsmXx+vVrrebhaakcCgsLkzpClhUrVgx3796Fs7Mz3N3dsX79elSpUgXbtm1Dnjx5pI6nUatWrbBv3z5UrVoVgwcPVvZViIqKkuWwSAD47rvvkJiYiPLly8PExEQ5nDPV06dPJUqWtmPHjuHIkSPYuXOn2m1yKtCBj2+aumbp0qWYOHGispjp378/fHx8lNffvXuH3bt3SxlRr4SGhqJevXrIkycP2rdvjw8fPqBDhw64du2aLN+7HRwccOzYMfTt2xejR49W+aJcv359LFq0SJaFDQDY2trizp07asXNrVu3JOnbxJabr9Ds2bNhaGiIQYMGISwsDE2aNEFycjKSkpIwa9YsDB48WOqIGTpx4gSOHTuGEiVKyKo14VMZdQr9fKVlOXBxcUHTpk0xbtw42b6J6jIDAwPExsYqO5N/3srx6NEjODo6yqqIzCo5tdwAwIEDB9CiRQsEBQVh+fLluH37Nvbv3y/73++nT5/i1q1bAIASJUqozEElRz/88ANOnDiBzZs3o3jx4gA+FjZt2rRB5cqVsWzZMq3mYXGTSxITExEVFYX379+rbC9XrpxEiTIvKioKZ86cQfHixVG+fHmp45CErK2tERERoXxzkrukpCTMnj0b69atw40bN6BQKFCyZEl07twZgwcPlt0MuixupLF161a0adMGZcqUwf79+5EvXz6pI2Xo+fPnuHXrFhQKBYoXLy7bVvVUCQkJaNSoEc6cOaPs9Hz//n3UrFkTISEhWs/P01I59PjxY/To0UNjMz4gz2HVn3r79i2KFi2qHE4rZ2vWrMGSJUsQGRmJ48ePw9nZGXPmzIGrqytatGghdTyNbt++jZUrV+L27duYO3cuChQogF27dsHJyUlthJ0ctG7dGmFhYTpR3Lx58wb169fH8ePHUa9ePXz77bcQQuDatWsYNWoUtm7dij179ujUrNb6QIqp9j/VunVrjdvz58+PPHnyqPS/CQkJ0VasTLt79y769++P3bt3q5yWatSoERYsWCDb0Za2trY4evQo/vvvP5w/fx7m5uYoV64cvv32W0nysLjJoSFDhuDZs2c4ceIEfH19sXnzZjx69AhTpkzB77//LnU8jZKTkzFt2jQsWbIEjx49wo0bN1CsWDGMGzcOLi4u6NWrl9QR1SxevBjjx4/HkCFDMHXqVGXRmCdPHsyZM0eWxc3Bgwfh5+cHHx8fHDp0CFOnTkWBAgVw4cIFLFu2DBs3bpQ6oppSpUphzJgxOHLkCDw9PdVaPuQ05H769OmIjo7GuXPn1FpIz58/j+bNm2PGjBmYOHGiNAHTMH78eFhYWAAA3r9/j6lTpyqXX0hMTJQyWq6Q+mTAp8vKfOrzIcpyFB0djWrVqsHY2BiTJ09GmTJlIITA1atXsXjxYlSvXh2nT5+W3XDwpKQkmJmZISIiAg0aNECDBg2kjsSh4DlVsGBBcfLkSSHExyGQ169fF0J8XObdx8dHymhpCgwMFMWKFRN//fWXMDc3Vw7bDA4Olu2symXKlBGbN28WQqhOSX7x4kVhb28vYbK0VatWTbnC9qeZT506JRwdHaWMliYXF5c0L66urlLHU1GyZMl0h62vX79elCxZUouJMlarVi1Ru3btDC+6JCIiQnazVwshREpKirh79654/fq11FEyrUePHuLbb79Ncyj4t99+K3r27ClBsowVK1ZMucSMHLC4ySFra2vl9NjOzs7iyJEjQggh7ty5I7s1YlIVL15c/Pfff0II1Q/dq1evijx58kgZLU1mZmbi7t27QgjVzDdu3BBmZmZSRkuTpaWlcv2dTzNHRkYKU1NTKaPpBVNTUxEVFZXm7VFRUTzOWhARESEUCoXUMdQkJycLY2NjcePGDamjZFqhQoXE4cOH07z94MGDolChQlpMlHkrVqwQfn5+4smTJ1JHEUIIYZBx2w6lx83NDdevXwfwcXbRpUuX4sGDB1iyZAkKFSokcTrNHjx4oHEG2pSUFHz48EGCRBlzdXVFRESE2vadO3fC3d1d+4EyIU+ePBpX/z537hwKFy4sQaLcY2NjI/n8MTY2NunObxQbGwsbGxstJvp6Sd3PRhMDAwOULFlS4xIzcvXkyZN0+9QUK1ZMtq9n3rx5OHz4MBwdHeHm5oaKFSuqXLSNfW5yaMiQIcoPsAkTJqBhw4b466+/YGJiIqv1YT5VtmxZHD58WG2doA0bNsDLy0uiVOkLCAhA//798fbtWwghcOrUKaxbtw7Tp0/X+hDDzOrcuTNGjRqFDRs2QKFQICUlBUePHsWIESPg7+8vdbwcETIYZOnr64tp06Zh06ZNGm+fMWMGateurd1QGejZs6fG7ba2tnBzc8N3332nnPOGcm7mzJkICAjQmYk0HR0dcfny5TT71Fy6dEm2X5pbtmwpdQQVHAqeyxITE5WL+cl1uOG2bdvQtWtXjBkzBpMmTUJgYCCuX7+OoKAgbN++HfXr15c6okZ//vknpkyZgujoaABA4cKFMXHiRFl2gAaADx8+oHv37vjnn38ghICRkRGSk5PRuXNnrFq1CoaGhlJHzDY5DPe9cuUKqlatirJly2LYsGEoXbq0cvvs2bNx5coVnDhxQlaj0lq1aqVx+/Pnz3H58mUYGxvj8OHDshpG/eLFi3Rvv3DhAmrVqiXLkaF58+ZFYmIikpKSdGIizSFDhmD//v3Yt2+f2jppcXFxqF+/Pnx9fTFnzhxpAuoQFjfZMGzYsEzvO2vWrC+YJPt2796NadOmITw8XLmY3Pjx4+XRy/0zSUlJ+Pvvv9GwYUMULFgQ8fHxSElJkeWq2prcuXNHuWifl5eX2kKaukgOxQ3wcTLHXr164erVqyrLnZQuXRrLli1DjRo1JM2XFW/evIG/vz8UCgXWr18vdRwlAwODdE87CZktL/MpXZtI89mzZ6hatSpiY2Px3XffqRTsa9euRcGCBXHixAnZT+gnByxussHX1zdT+ykUCuzfv/8Lp8mapKQkTJ06FT179oSTk5PUcTLNwsICV69eVTuVpkuSk5Nx8eJFODs7I2/evFLHyRG5FDepIiIicOPGDQAfh7NXqFBB2kDZdObMGbRu3RpRUVFSR1E6ePBgpvarVavWF07ydXj27Bl++uknBAcH4/nz5wCgXD5i6tSpsLe3lzZgGjIqgrVd/LK4+QpZWVnh0qVLsp0MShNfX18MHjxYdud10zNkyBB4enqiV69eSE5ORq1atXDs2DFYWFhg+/btsusPkhU2NjaIiIiQTXGTGbqQ+c6dO6hQoUKGp4Lk5vHjx2qnUeTmzZs3agMm5NzhXAiBx48fA/g4AaEcO21/asuWLSrXP3z4gHPnzmH16tUIDAzUevcBdij+CtWrVw8HDhxA9+7dpY6Saf369cPw4cNx//59eHt7qy3EJsdlLjZu3IjvvvsOwMd+Tnfu3MG1a9cQFBSEsWPH4ujRoxInzD5d/E6kC5mPHTumE7NDAx+P586dO7Fs2TLs2LED7969kzqSmtevX2PUqFFYv369xlFGcjyVlurixYvKJUVKlSoFT09PqSOlS9NEqm3btkXZsmURHBzM4oa+PD8/P4wZMwaXLl3SWCjIcSHKDh06AFCdIVehUMj6fH98fDwKFiwI4OPqxO3bt0epUqXQq1cvzJs3T+J0GROfTP3+uZ07d+r8cHYpXLhwQeP2hIQEnD59GtOmTcOUKVO0nCpr7ty5gxUrVmD16tV49eoVmjRpgn/++UfqWBqNHDkSYWFhWLRoEfz9/bFw4UI8ePAAS5cuxYwZM6SOp9GpU6fQq1cvXLlyReVvsGzZsli+fDkqV64sccKsqVq1Kr7//nvtP7F2p9UhOVAoFGle5DjTqBBC3L17N92LHBUtWlTs3r1bJCUlCScnJ7Ft2zYhhBCXLl2S7WSJQgixevVq4eHhIUxNTYWpqanw9PQUQUFBUsfKsU8nUpRK6t+Ypr+9AgUKiJkzZ0qaLy1v3rwRa9asEbVq1RKmpqaiadOmwtDQUFy8eFHqaOlycnISYWFhQoiPE67evHlTCCFEUFCQ8PPzkzCZZpcvXxZWVlaicuXKYu3ateLcuXPi7Nmz4u+//xaVKlUS1tbW4vLly1LHzLTExEQxePBgUapUKa0/N1tuvkIpKSlSR8iytWvXwsHBQW2ekBUrVuDx48cYNWqURMnS1qNHD7Rv3x6FChWCQqFQDrE/efKkchSE3MyaNQvjxo3DgAED4OPjAyEEjh49ij59+iA+Ph5Dhw6VOqJOi4yM1Ljd1tZWtqs+9+vXD//8849yHp5NmzbB3t4exsbGMDCQ9zywT58+haurK4CP/WtSh35/88036Nu3r5TRNJowYQLq16+PTZs2qbSYenl5oVOnTmjdujUmTpwoq9F0qfLmzauSWQiBly9fwsLCAn/99ZfW87C4IZ2wdOlSrF27Vm172bJl0bFjR1kWNxMnToSnpyeioqLQrl07mJqaAgAMDQ0xZswYidNpNn/+fCxevFhlksEWLVqgbNmymDhxok4XN3LokKmLo/3++OMPjBo1CqNHj4a1tbXUcbKkWLFiuHv3LpydneHu7o7169ejSpUq2LZtmyyLyQMHDmDnzp0af1cVCgV++uknNG7cWIJkGft87h0DAwPkz58fVatWlWR0KIubr9CgQYNQokQJtRWeFyxYgFu3bslygqjY2FiNM3Pmz59f4xIHcjBp0iTl/1esWKFy271792TZtykmJkbj3DA1atSQ7XHOLCGDDsUpKSm4fPmysnPokiVL8P79e+XthoaG6Nu3r6xaRIKCgrBy5UoUKlQITZo0QdeuXdGoUSOpY2VKjx49cP78edSqVQtjxoxBkyZNMH/+fCQlJclyDrKXL1/CwcEhzdsLFiyIly9fajFR5sltziAWN1+hTZs2YevWrWrba9SogRkzZsiyuHFycsLRo0eVTcypjh49CkdHR4lSpW/z5s0q1z98+IDIyEgYGRmhePHiGD9+vETJ0laiRAmsX78eP/30k8r24OBg2U8++P79e0RGRqJ48eIwMlJ/a5NDJ+h//vkHS5cuVc4dExAQgDx58ijzxsfHw8zMTFazbnfu3BmdO3fG3bt3sXLlSvTv3x+JiYlISUnBlStXZLu2GwCVlkZfX19cu3YNZ86cQfHixVG+fHkJk2nm4uKCU6dOpTkH2cmTJ2Xd+vf8+XMsX75cOammu7s7evbsCVtbW+2H0XovH5KcqampsmPdp27evCnbVZRnzJgh7O3txYoVK5SdiJcvXy7s7e3FtGnTpI6XaQkJCaJVq1ay7aC7ceNGYWhoKBo2bCgmTZokJk+eLBo2bCiMjIxESEiI1PE0ev36tejZs6cwNDQUhoaGyk7DAwcOFNOnT5c4nap69eqJtWvXKq9/3sl58eLFonbt2lJEy7SUlBSxc+dO0a5dO2FqaioKFy4sBg4cKHUsvTB+/HhRtGhRjR21L1y4IJydncX48eMlSJax06dPCzs7O1G4cGHRqlUr0bJlS1GkSBFhb28vwsPDtZ6Hk/h9hTw8PNCnTx8MGDBAZXtqf4srV65IlCxtQgiMHj0a8+bNUzbjm5mZYdSoUbJsAUnPpUuX0LRpU9y9e1fqKBqFh4dj9uzZuHr1KoQQcHd3x/Dhw2W7qOrgwYNx9OhRzJkzB40aNcKFCxdQrFgxbN26FRMmTMC5c+ekjqhUpEgR7NixQ9lq8PlMz1evXoWPj4/s1jxKy9OnT5Wnrc6fPy91HI1OnTqFAwcOIC4uTm0whdxOTb19+xZ169bFyZMnUb9+fZQpUwbAx+UX/vvvP1SpUgX79++HmZmZxEnV1axZEyVKlMCff/6pbIlMSkpC7969cefOHRw6dEireVjcfIVWrFiBAQMGICAgAHXq1AEA7Nu3D7///jvmzJkjzZwEmfTq1StcvXoV5ubmKFmypLKTri45cuQImjVrhmfPnkkdRS84OzsjODgY1apVUykWbt26hYoVK8pqtl8zMzNcvnxZOVHf48ePYW9vr+xjc+vWLZQtW1aWE+LpomnTpuHnn3+Gm5sbHBwcVDrqynF5HODj6dXZs2dj3bp1KkuKdOzYEUOHDpXte565uTnOnTunNhL0ypUrqFSpEhITE7Wah31uvkI9e/bEu3fvMHXqVEyePBnAx3O9n4+SkSMrKyudmcTq84n6hBCIiYnBmjVrZNsh09DQEDExMWqLkj558gQFChSQ5WSJjx8/1riI6uvXr2UxQupTDg4OuH79urK4+XzJgqtXryonfpSLTzvGp0WhUGDcuHFaSJM1c+fOxYoVK3RqNnYTExOMGjVKliNA02NjY4OoqCi14iY6OlqSUXZsufnKPX78GObm5rCyslK77ejRo6hUqZJsvynI3eedn1OHRtapUwdjxoyR5bBaAwMDxMbGqhULDx8+RPHixfHmzRuJkqWtVq1aaNu2LQYOHAhra2tcuHABrq6uGDBgAG7duoVdu3ZJHVGpZ8+euH79usalN4QQ8PHxQenSpdVG10kpvdORCoUC169fx9u3b2VZ+BYqVAiHDh2SfWf4tLx8+VJllJ+BgYHG92o5GDRoEDZv3ozffvsNNWrUgEKhwJEjRxAQEIA2bdpofaAKW26+cuktdufn5yf7hQblLK0J2+QotZVJoVBg2bJlKm+gycnJOHTokGwnHpw+fToaNWqEK1euICkpCXPnzsXly5dx/PjxTK9orS1jx45FxYoVUbVqVYwYMQKlSpWCQqHAtWvX8Ntvv+H69esICgqSOqaKtPosRUREYPTo0bh06ZJsT2UPHToUCxculOUIUE0iIiIwduxY7NixAwDg6OiocjpHoVDg+PHjsmy9/u2336BQKODv74+kpCQAgLGxMfr27SvJUhdsuaE0fd7ZkfRXaivTvXv3UKRIERgaGipvMzExgYuLCyZNmoSqVatKFTFdFy9exG+//Ybw8HCkpKSgYsWKGDVqlCwXGzx16hS6d++Oa9euKU+bCSFQunRprFy5UrbHOFVkZCTGjRuH4OBgtG7dGlOmTJFty0hKSgqaNGmCGzduwN3dHcbGxiq3h4SESJRMs169eqFEiRLKST6tra2xdOlSFC5cGEIIrFixAkIIrFmzRuKkaUtMTMTt27chhECJEiVgYWEhSQ623BCRspXJ19cXISEhkswomhOenp5YvXq11DEypUqVKrhy5QoiIiKUHUZLliwp29FoqeLj4xEYGIg//vgD33zzDY4dOybLFoRPDRw4EGFhYfD19YW9vb3s+mB97ujRo2r9g6pVq6b8gmlubo727dtLkCzzLCws4OnpiRcvXmDPnj1wc3NTjvrSKq0PPiedIYeFBkmerK2tZfO7sWPHDrFr1y617bt27RKhoaESJMo9cjjOr169EhMnThQ2NjaiYsWKYvfu3ZLmyQorKyuxfft2qWNkmoWFhcpCwLNmzRIJCQnK6/fu3ZPtXGTt2rUT8+fPF0J8XDCzZMmSwtjYWBgZGYmNGzdqPY985vgmIp0hZHQ2e/To0Ro7s4r/nxtJl8nhOBcvXhwzZ85E3759sWLFChQsWBAXLlxQu8iRnZ2dcmSaLjA1NcX9+/eV14cOHQobGxvl9ejoaMlO82Tk0KFDqFmzJoCPs7MLIfD8+XPMmzcPU6ZM0XoeFjeUJrk34RIBwM2bNzUuAVC6dGncunVLgkT6JS4uDm/evMHMmTNRsWJFVKhQQXnx8vJS/itHEydOxIQJE7Q+x0p2eXl54d9//03z9pCQENke64SEBNjZ2QEAdu3ahTZt2sDCwgJNmjTBzZs3tZ6HfW4oTXL41kiUEVtbW9y5cwcuLi4q22/dugVLS0tpQukRXRr197l58+bh9u3bcHBwgIuLi1qH4rNnz0qUTLN+/fqhY8eOcHFxUVlANTk5GYsWLcL8+fOxdu1aiVNq5uTkhOPHj8POzg67du3CP//8AwB49uyZJDMqs7ihNMl19VmiTzVv3hxDhgzB5s2blacgbt26heHDh8ty5XVdI+eFGjPSsmVLqSNkSZs2bTBs2DAMHDgQP/30E4oVKwaFQoHbt2/j1atXGDZsGNq2bSt1TI2GDBmCLl26wMrKCs7OzqhduzaAj6erpBi1yKHgX6FHjx5hxIgR2LdvH+Li4tRaaOQ4GRfJi42NjWzmQEpISECjRo1w5swZFClSBABw//591KxZEyEhIciTJ4+0AXNATsf59OnTyiUBFAoFSpYsic6dO6NSpUpSR8uxdevWoXnz5rJp6Ttx4gTWrVunPJ1TsmRJdOrUCdWqVZM4WfrCw8MRFRWF+vXrK+fK2rFjB/LkyQMfHx+tZmFx8xXy8/NDVFQUBgwYgEKFCqn1rWnRooVEyUhXyG0OpJSUFPz33384f/48zM3NUa5cOXz77bdSx8oxuRznkSNH4rfffoOVlRWKFSsGIQTu3LmDxMREjBgxAr/88ouk+XJKTkVkVvTr1w+TJk1Cvnz5pI6SaVo71lofn0WSs7KyEufOnZM6Bumww4cPi7dv30odQ3z48EEYGhqKixcvSh0lW969eyeuXbsmPnz4oPF2ORznVatWCTMzMzF//nzx/v175fb379+LuXPnCjMzM7F69WoJE+acrk57IYepArJKW8eafW6+Qk5OTuwsTBolJydj1apVylOWKSkpKrenrqL8zTffSBFPjZGREZydnXXuVGpiYiIGDhyonHjwxo0bKFasGAYNGgRHR0flEHY5HOeFCxdi2rRpGDBggMp2Y2NjDBo0CElJSViwYIHsF93VR3wfTxuHgn+F5syZg9GjR+Pu3btSRyGZGTx4MAYPHozk5GR4eHigfPnyKhc5+vnnnzFmzBg8ffpU6iiZNmbMGJw/fx4HDhxQGUlSr149BAcHS5hM3eXLl9M9Vd2yZUtcvnxZi4mIMsaWm69Qhw4dkJiYiOLFi8PCwkJteKQufUhQ7vrnn3+wfv16NG7cWOoomTZv3jzcunULjo6OcHZ2VusUKrfhvgDw77//Ijg4GNWqVVPp8+bu7o7bt29LmEydoaEh3r9/n+btHz58UFmLjEgOWNx8hXRlhVzSPhMTE5QoUULqGFmia8N9AeDx48coUKCA2vbXr1/LbvJMb29v/P3335g8ebLG29esWYOKFStqORXpKm39frO4+Qp169ZN6ggkU8OHD8fcuXOxYMEC2X3IpmXChAlSR8iyypUrY8eOHRg4cCCA/73h//nnn6hevbqU0dQMHz4cLVu2xLt37zB8+HA4ODgAAGJjY/H7779jzpw52Lx5s8Qp1SUnJ+PIkSMoV65chgvBOjs7q7Vg05ehrX5CLG6+UsnJyfj3339x9epVKBQKuLu7o3nz5mxe/sodOXIEYWFh2LlzJ8qWLav2hh8SEiJRMv0yffp0NGrUCFeuXEFSUhLmzp2Ly5cv4/jx4zh48KDU8VQ0bdoUs2fPxogRI/D777/D1tYWwMf5hQwNDfHrr7+iadOmEqdUZ2hoiIYNG+Lq1asZFjeXLl3SUqrc9d1336msPaULdu7cicKFC3/x5+E8N1+hW7duoXHjxnjw4AHc3NwghMCNGzfg5OSEHTt26NRCc5S7evToke7tK1eu1FKSzDMwMEi3lUmuI6kuXryI3377DeHh4UhJSUHFihUxatQoSWZzzYz79+9jw4YNyonlSpUqhTZt2sDJyUniZGmrXLkyZsyYgbp160odJVMSExMREBCAf//9Fx8+fEC9evUwb948nZjHJrMjLbWFxc1XqHHjxhBC4O+//1YudPbkyRN89913MDAwwI4dOyROSJR5W7ZsUbn+4cMHnDt3DqtXr0ZgYCB69eolUTKS2p49ezBq1ChMnjwZ3t7eap3N5dbqERAQgEWLFqFLly4wNzfH2rVrUbt2bWzYsEHqaBkaMGAAVq1ahSZNmmicHHb27NlazcPi5itkaWmJEydOqH1DPH/+PHx8fPDq1SuJkhHlnrVr1yI4OFit+JGD0NBQ5WmTT+3evRspKSnw8/OTKJm6W7duISEhAd7e3spt+/btw5QpU/D69Wu0bNkSP/30k4QJ05a68CSg2pFVCAGFQiG7Vr3ixYtj6tSp6NixIwDg1KlT8PHxwdu3b2XfZSBfvnwICgqSzUhL9rn5CpmammpcFPPVq1cwMTGRIBFJqWLFiti3bx/y5s0LLy+vdE/xyHFYdVqqVq2K77//XuoYGo0ePRozZsxQ2y6EwOjRo2VV3AQEBMDDw0NZ3ERGRqJZs2aoWbMmypUrh+nTp8PCwgJDhgyRNqgGYWFhUkfIkujoaNSsWVN5vUqVKjAyMsLDhw9lffoPkN9ISxY3X6GmTZvihx9+wPLly1GlShUAwMmTJ9GnTx+uovwVatGiBUxNTQHo5rBqTd68eYP58+crF9KUm5s3b8Ld3V1te+nSpXHr1i0JEqXtzJkzGDlypPL633//jVKlSmH37t0AgHLlymH+/PmyLG5q1aoldYQsSU5OVvuCaWRkhKSkJIkSZZ7cRlqyuPkKzZs3D926dUP16tWVo2GSkpLQvHlzzJ07V+J0pG2fDqXO7LBqOa2inDdvXrVTDi9fvoSFhQX++usvCZOlzdbWFnfu3IGLi4vK9lu3bsnimH4qPj5epUgMCwtDs2bNlNdr166N4cOHSxEtU54/f47ly5erjAzt2bOnctSXnAgh0L17d+WXDQB4+/Yt+vTpo/J7IcdRi3Iback+N1+xmzdv4tr/tXfnYTXn/f/An5+TVqksRZGKxlLSHSU0Gcs0hVmYjHXuBsWMtY2Y29fSTLZBq8FMaLHFGI2GQbcYpugm0wkjS4uW+xZZCi1y6v37w8+5nTml3Mx5f069HtfVdTnvz8Fzupq8ei+v99WrYIzBxsZGVFOKRNzEdIvy8/uZnpNIJDA2Noazs3OjR4B5mTlzJtLT05GYmCg/nZiTkwNPT084OTlh69atnBP+V+fOnZGYmIgBAwagrq4Obdu2xa5du+THv7OzszFw4ECUl5dzTqosIyMD7u7u0NXVxYABA8AYQ0ZGBqqqqpCcnCy65oONnVZ8ToynFsV20pKKG0LIK2vTpg2ysrJEUdyoo/Lycnh4eCAjI0M+K1JcXAxXV1ccOHAARkZGfAO+YPLkyXj06BE2bdqEH374AcuXL0dJSYl8JuHHH3/EV199haysLM5Jlbm6usLa2hrR0dFo1erZQoVMJoOPjw/y8vJw+vRpzgnJX4WKmxYiICAAX3/9NVq3bo2AgICXvjc0NFRFqYi6Eltxo05LD8/V1dXh+PHjyMrKgq6uLvr27YshQ4bwjqUkPz8fbm5uyM/Ph0QiQWRkJGbNmiV/PmbMGFhZWan8qG9T6OrqIjMzE7169VIYv3LlChwdHVFZWckpWfNVWlqKa9euQRAE9OjRA8bGxlxy0J6bFiIzMxNPnz6V/7ohYtgIRsirqG/pITQ0FCtXrhTl0oNMJoOOjg6kUinee+89vPfee7wjvZSVlRWys7Nx5coVGBsbw8zMTOF5cHCwaDduGxgYoLCwUKm4KSoqQps2bTilatiwYcPq/R5saGiInj17Ys6cOaI9NVVRUYF58+YhPj5e3sBPQ0MDXl5eiIqKgp6enkrz0MwNIeSViWnmRh2XHrp3744DBw7A3t6ed5Q34vz583BycuIdQ8n8+fORmJiI9evXY/DgwRAEAampqVi4cCE8PT1Fd4mwv79/veNlZWW4cOEC8vLykJqair/97W+qDdYEn3/+OY4fP46NGzfCxcUFwLNNxvPnz4ebmxs2b96s2kCMtHjl5eUsMTGRZWdn845C1IS+vj7Lzc3lHYMxxpiOjk69X7t//PEH09XV5ZCocdu3b2cjR45k9+7d4x2lyR49esQqKysVxjIzM9n777/PJBIJp1Qv9+TJEzZ//nympaXFJBIJk0gkTFtbm/n5+bHq6mre8V7Z7Nmz2ciRI3nHqFf79u3ZyZMnlcZPnDjBOnTooPI8ksbLH9LcjB8/Hhs3bgTwrB+Io6Mjxo8fDzs7O/z444+c0xF1IKZblJ8vPfyZWJcegGftGH777TeYmZmhZ8+e6Nevn8KHmBQXF8PFxQWGhoYwNDREQEAAKisr4eXlBScnJ2hrayM1NZV3TLmLFy/Kl0W0tLQQERGBBw8eQCqVIjMzE/fv30dYWJjCcWt18fnnn790WwFPlZWV8hvjX2RiYsJlbxPtuWmBTp8+jSVLlgAAEhMTwRhDWVkZ4uLiEBISAk9PT84JidiJ6RblCRMmwNvbu96lh0mTJvGOVy91apa4ePFiPH78GBEREfjxxx8RERGBU6dOwd7eHtevX4eVlRXviAocHBxw69YtmJiYoFu3bjh//jzat28v2gtJX4Wuri6qq6t5x6jXoEGDsHz5csTHx0NHRwfAsx+eg4ODMWjQIJXnoeKmBSovL5dfmHn06FF4enpCT08Po0ePxsKFCzmnI6r25yZ4L3P//v2/OM2rW79+PQRBgJeXl7yTq6amJmbNmlXvFQdi0NRmiWJw8uRJ7Nu3Dy4uLhg3bhzMzMzwySefYPHixbyj1cvIyAj5+fkwMTHBzZs3lW6nVmfJycno0aMH7xj1ioiIgIeHB7p06QJ7e3sIggCpVAodHR15N2tVouKmBTI3N8fZs2fRrl07HD16FAkJCQCABw8eyCtu0nK8uKny3r17CAkJgbu7u/ynrbNnz+LYsWNYunQpp4Qv93zpYfXq1cjNzQVjDNbW1io/ndFclZSUyBsNdurUCbq6uvjoo484p2qYp6cn3nnnHfnN1I6Ojg1eOpmXl6fidC+XlJRU73h5eTnOnz+Pbdu2ITY2VrWhmqhPnz64ceMGdu7cKW8OO3HiRPkN56pGp6VaoE2bNsHX1xf6+vqwsLDA77//DolEgqioKBw4cEDtLpsjb46npyeGDRuGuXPnKoxv3LgRx48fx08//cQn2Ct4+PAhTpw4gZ49e6J3796849RLIpG8dLZMTLdVa2hooKSkRN6vpE2bNrh48aLolqNedPToUeTk5GD+/Pn46quvGtx75evrq+JkL/fiLeYvatOmDXr16oUFCxbgk08+UXEq9UTFTQuVkZGBoqIiuLm5QV9fHwBw+PBhGBkZyY/xkZZHX18fUqlU6SqOGzduwMHBAY8fP+aUrGHjx4/HkCFDMHfuXFRVVcHe3h43b94EYwwJCQmi3EN28OBBhddPnz5FZmYm4uLiEBwcDG9vb07JlEkkEvTp00d+zP7ixYvo1auX0gWPYrwxftq0aYiMjGx0Y3lxcTHMzMwaLC5I/ZKSkjBy5Ehoamo2OOv0nKovZabihqC2thaXLl2ChYWFaO/iIaphYWGBuXPnKu29WrduHTZu3IiCggJOyRrWqVMnHDt2DPb29ti9ezeWL1+OrKwsxMXF4fvvvxft6ZL67N69G3v37lUqfngKDg5u0vvUaR/Rn4nprjR1IpFIUFJSAhMTk5cWhoIgqHw2koqbFsjPzw92dnbw9vZGbW0t3nnnHZw5cwZ6eno4dOgQhg4dyjsi4SQ2Nhbe3t7w8PCQ77lJT0/H0aNHsXXrVkydOpVvwHro6uri+vXrMDc3h5eXF8zMzLBmzRoUFhbCxsZGlLNNDcnNzUXfvn1RUVHBO0qLIpamlPHx8U16n5eX11+cRP3RhuIWaP/+/fj0008BAD///DPy8/Nx9epVxMfHY8mSJUhLS+OckPAydepU9O7dG5GRkThw4ID8xvi0tDQ4Ozvzjlev5rJBvqqqClFRUaK7yuDOnTswMTFp8LlMJsPvv/+OAQMGqDBV8/SyPUCCIKCiogIymUyUxU18fDwmTJig1D+opqYGCQkJqs+s8raBhDttbW1WVFTEGGNsxowZzNfXlzHGWF5eHmvTpg3HZIS8um+//Za1atWKGRkZMXt7e1ZbW8sYYywyMpINHTqUc7r6GRkZsbZt28o/jIyMmIaGBmvTpg07ePAg73gKJBIJu337tvx1r169WEFBgfx1SUmJaDsUN5WYOm7X5z//+Q/7/PPPmaamJnN3d+cdp15//jp57u7du1y+PmjmpgXq2LEjrly5AlNTUxw9ehSbNm0C8KzDZENHJknLkZubi5iYGOTl5SE8PBwmJiY4evQozM3NYWtryzuektmzZ8PZ2RmFhYVwc3OTr/1369YNISEhnNPV7893GkkkEhgbG8PZ2Vl0+97Yn3YuFBcXy/sJNfQe8mY8evQIa9euRUREBGxtbXHs2DEMGzaMd6x6McbqPQFYXFwMQ0NDleeh4qYFmjZtGsaPHy/vA+Hm5gYA+Ne//qV0ey5pWU6dOoWRI0fCxcUFp0+fRkhICExMTHDx4kVs3boV+/fv5x2xXv3790f//v0VxkaPHq3wWkybRj/77DPeEd6opjaBFCux5a+pqcHGjRuxatUqdOjQATExMRg3bhzvWPVycHCAIAgQBAEjRoyQn6oDnh1Wyc/Ph4eHh8pzUXHTAq1YsQJ9+vRBUVERPvnkE/kaqYaGhmi7jhLVWLx4MUJCQhAQEKBwfHbYsGGIiIjgmOz1iW12oaysDNu2bUN2djYEQYCNjQ2mT5/O5afclk4sXxuMMcTHx2PZsmWQyWRYtWoVvL29RT2j/vwqEalUCnd3d3lrEeBZg01LS0su7RjotFQLV11drVabLslfS19fH5cuXYKVlZXCCZKbN2+iV69eor3XpinEciIGeNZnyt3dHbq6uhgwYAAYY8jIyEBVVRWSk5NFdXmmhoYGrl+/DmNjYzDGYG5ujtTUVFhaWgIAbt++jV69eomq8eCrKioqgpmZGfciom/fvsjNzcW8efPg5+fXYJdtAwMDFSdrXFxcHCZMmCCaf0+ouGmBamtrsWrVKmzZsgW3b9/G9evX0a1bNyxduhSWlpaiaiBGVKtLly7Yt28fBg8erFAMJCYmYsGCBcjNzeUd8X8mpuLG1dUV1tbWiI6Olk/jy2Qy+Pj4IC8vD6dPn+ac8L/+3E35z3srnr8WS3Hz8ccfN/m9Bw4c+AuTvLoXe8XUt1Qmts+1mNGyVAu0cuVKxMXF4ZtvvsGMGTPk43Z2dggLC6PipgWbPHkyFi1ahB9++AGCIKCurg5paWlYsGCBKI+fqquMjAyFwgYAWrVqhaCgIDg6OnJMpkzdrmN5cVmPMYbExEQYGhrKP68XLlxAWVnZKxVBqqJun+sX1dbWIiwsDPv27UNhYSFqamoUnqv80l2Vn88i3HXv3p0dP36cMaZ4BDI7O5sZGRnxjEY4q6mpYZMnT2YSiYQJgsA0NTWZRCJhn376KZPJZLzjvZY2bdqI5riviYkJO3bsmNL40aNHmYmJCYdEzVNQUBDz8fFR+NqVyWRs5syZbMGCBRyTNT9Lly5lpqambN26dUxHR4d9/fXXzNvbm7Vv355FRESoPA8tS7VAurq6uHr1KiwsLBSm6q9cuYIBAwaoVUdX8tfIy8vD77//jrq6Ojg4OOCtt97iHem1iWlZav78+UhMTMT69esxePBgCIKA1NRULFy4EJ6enkpHxXlijGH9+vX46aef8PTpU7z77rtYtmyZaPZWvIyxsTFSU1PRs2dPhfFr165h8ODBuHfvHqdkTfPHH38oLEFpaGiIsh0DAHTv3h2RkZEYPXo02rRpA6lUKh9LT0/H7t27VRtI5eUU4a5///5sx44djDHFmZsVK1awt99+m2c0wllwcDCrqKhQGq+srGTBwcEcEr05v/32G6uuruYdgzHG2JMnT9j8+fOZlpYWk0gkTCKRMG1tbebn5yeajM+tWrWKSSQS5ubmxj788EOmra3NZsyYwTtWkxgZGbHExESl8cTERFHOUp8+fZo5OjrKX+vr68tnUQVBYBKJhP3zn//kmLBhenp68uaOnTp1YhcuXGCMMZabm8sMDAxUnoeKmxYoKSmJGRoasjVr1jA9PT22bt065uPjw7S0tFhycjLveIQjsXUZbQqZTMa2bt3KJk2axEaMGMGGDRum8CFmFRUV7OLFiywrK6veolIMevTowb799lv56yNHjjBtbW1WV1fHMVXT+Pv7s7Zt27J169ax3377jf32229s3bp1rH379szf3593PCUTJ05UWMLR19dnp06dYjdv3mT5+fnM39+fffzxxxwTNqxHjx4sPT2dMcbY22+/zVavXs0YYywhIYEZGxurPA9tKG6BPvjgA+zduxerVq2CIAhYtmwZ+vXrh59//lne0I+0TKyBLqNZWVlo164dh0SN8/X1RWxsLEaPHo0+ffqIriHby+jp6cHOzg4PHz5EcnIyevbsid69e/OOpaCgoADvv/++/LW7uzsYY/jPf/6Dzp07c0zWuPXr16NTp04ICwvDrVu3AACmpqYICgpCYGAg53TKzp8/r3S/VJcuXWBhYQEA+Pvf/67UnFIsxo4di5SUFDg7O8PX1xeTJk3Ctm3bUFhYCH9/f5XnoT03hBC0bdsWgiCgvLwcBgYGCgVCbW0tHj9+jC+++ALffvstx5T169ChA+Lj4zFq1CjeUZps/PjxGDJkCObOnYuqqirY29vj5s2bYIwhISGBS9OzhkgkEty+fRvGxsbyMTHtX2qqhw8fAhBnj5jnXtwPCTw7qu7h4SHvd1NQUIAePXrgyZMnPGM2SXp6Os6cOQNra2t8+OGHKv/7aeamBSoqKoIgCPLbh8+dO4fdu3fDxsYGM2fO5JyO8BAeHg7GGKZPn47g4GCF47TPu4wOGjSIY8KGaWlpwdramneMV3L69GksWbIEAJCYmAjGGMrKyhAXF4eQkBBRFTcAsHTpUoWGcjU1NVi5cqXC10loaCiPaI2SyWT49ddfkZubi8mTJwMA/vOf/8DAwEChm64YtGnTBvn5+fLi5s/H1fPz80VdnL1o4MCBGDhwILe/n2ZuWiBXV1fMnDkTf//731FSUoIePXqgT58+uH79OubPn49ly5bxjkg4OXXqFAYPHgxNTU3eUZpsw4YNyMvLw8aNG9VmSUpXVxfXr1+Hubk5vLy8YGZmhjVr1qCwsBA2NjaiOrE4dOjQRj+vgiDgxIkTKkrUdAUFBfDw8EBhYSGePHkib1jq5+eH6upqbNmyhXdEBR988AGMjY2xffv2ep9PnToVd+/exaFDh1ScrGl27NiBLVu2ID8/H2fPnoWFhQXCw8NhZWWFjz76SKVZaOamBbp8+TIGDBgAANi3bx/s7OyQlpaG5ORkfPHFF1TctGDvvPMOamtrsX//fvmdR71798ZHH32k0HBOTFJTU3Hy5EkcOXIEtra2SoWZ2LrQAoC5uTnOnj2Ldu3a4ejRo0hISAAAPHjwQHRHrH/99VfeEf5nvr6+cHR0RFZWFtq3by8fHzt2LHx8fDgmq19AQADeffddtG/fHgsXLoSJiQkA4M6dO1i7di127tyJ5ORkzinrt3nzZixbtgx+fn5YuXKl/Ai7kZERwsPDqbghf72nT5/KL8s8fvy4fD20V69e8k13pGW6fPkyPvroI5SUlMh7gzy/VygpKQl2dnacEyozMjLC2LFjecd4JX5+fpgyZQr09fVhYWGBoUOHAni2XCXGz/GrENPt66mpqUhLS4OWlpbCuIWFBf79739zStWwYcOGISoqCv7+/ggNDZXvfysvL0erVq0QHh6O4cOH845Zr6ioKERHR2PMmDFYs2aNfNzR0RELFixQeR4qblogW1tbbNmyBaNHj8Y///lPfP311wCerUO/+NMNaXl8fHxga2uLjIwMtG3bFsCz2YSpU6di5syZOHv2LOeEymJiYnhHeGWzZ8+Gs7MzCgsL4ebmJr9TqFu3bggJCeGc7vWIaadDXV1dvfcwFRcXK9x6LyazZ8/GBx98gP379+PGjRsAgLfeegvjxo2Dubk553QNy8/Ph4ODg9K4trY2KioqVJ6HipsWaO3atRg7dizWrVuHzz77DPb29gCApKQk+XIVaZmysrIUChvg2UmqlStXwsnJiWOyxpWWluLatWsQBAE9evRQON0jRv3790f//v0Vxv58zFdMsyDqyM3NDeHh4fj+++8BPNsb9PjxYyxfvlzUp+vMzc25HJ9+HVZWVpBKpfLN0M8dOXIENjY2Ks9DxU0LNHToUNy9excPHz5U+Eds5syZCici0tLS4OjoKF/CIs1fz549cfv2baUW73fu3BHtiaSKigrMmzcP8fHxqKurA/CsTb2XlxeioqIUvqbVjZhmQdRRWFgYhg0bBhsbG1RXV2Py5Mm4ceMGOnTogD179vCOpyQpKalJ7+NxtLoxCxcuxJw5c1BdXQ3GGM6dO4c9e/Zg9erV2Lp1q+oDqbxtIFEbYrpokKjG4cOHma2tLfvhhx9YUVERKyoqYj/88AOzs7Njhw8fZuXl5fIPsZg5cybr1q0b++WXX+TZDh8+zLp3786++OIL3vFey4vXo6gLsWWurKxk27ZtY3PmzGGzZs1i0dHRrLKyknesej2/ZuFlH2LtFM4YY99//z3r2rWrPGuXLl3Y1q1buWSho+CkQerYqIu8nud7PwDIj/8+/xbx4mtBEOrdy8BDhw4dsH//fvmm3OdOnjyJ8ePHo7S0lE+wN0Ad/x+kpbSWRyaTYdeuXXB3d0enTp1w9+5d1NXVyU978UDLUoQQuZMnT/KO8MoqKyvRsWNHpXETExNUVlZySNSy8f55ualLO4A4l3fUUatWrTBr1ixkZ2cDePYDB29U3BBC5N555x2UlZVh27ZtCn1uvL29FbrRismgQYOwfPlyxMfHy3vEVFVVITg4WLRdlZtKjE0Ja2pqkJ+fj+7du9fb++jIkSNc75waM2ZMk94nptnH53JyclBeXq6w0TwlJQUhISGoqKjAmDFj8I9//INjwoY5OzsjMzNTaUMxL1TcEELkMjIy4OHhAR0dHQwYMACMMYSFhWHVqlVITk5Gv379eEdUEhERAQ8PD3Tp0gX29vYQBAFSqRQ6Ojo4duwY73ivhfcsyIsqKysxb948xMXFAYC82+/8+fNhZmaGxYsXAwDefvttnjHlm8rV0cKFC9GnTx95cZOfn48PPvgArq6u6Nu3L1avXg09PT34+fnxDVqP2bNnIzAwEMXFxejfvz9at26t8Lxv374qzUN7bkiDaO285XF1dYW1tTWio6PlP5XLZDL4+PggLy8Pp0+f5pywflVVVdi5cyeuXr0KxhhsbGwwZcoU6Orq8o72WlJTU+Hk5CSKE4u+vr5IS0tDeHg4PDw8cPHiRXTr1g1JSUlYvnw5MjMzeUdUe+bm5ti3b598xjEkJAT79++HVCoFAGzbtg1RUVHy12Ly4n695wRB4LZHj4ob0iB13MxIXo+uri4yMzPRq1cvhfErV67A0dGR9rC8IbW1tYiNjUVKSgru3LmjNNsgxnuaLCwssHfvXgwcOFDhe0NOTg769esnv3VbbFJSUhAWFiZfZu3Vqxf8/Pzw7rvv8o6m5MU7xwBgxIgRGDx4sLzRam5uLvr374+ysjKOKetXUFDw0ueqXq6iZakWaPjw4Thw4ACMjIwUxh8+fIgxY8bIv7E+evSIQzrCk4GBAQoLC5WKm6KiIlF1dE1KSsLIkSOhqanZ6AZSMW4a9fX1RWxsLEaPHo0+ffqIcm/Nn5WWltZ7+qWiokK0+Tdu3Ah/f3+MGzcOvr6+AID09HSMGjUKoaGhmDt3LueEitq1a4dbt27B3NwcdXV1yMjIUGjmV1NTI6qlyhft3r0bHTt2xPTp0xXGt2/fjtLSUixatEi1gXicPyd8CYLAbt++rTR++/Zt1qpVKw6JiFjMmzePdenShSUkJLDCwkJWVFTE9uzZw7p06cJ8fX15x5N78WtYHXuCtG/fnh0+fJh3jFcyZMgQFhkZyRh71ssmLy+PMcbYnDlzmLu7O89oDTIzM2NRUVFK4xs3bmSmpqYcEr3cpEmT2Pvvv88KCwvZhg0bmL6+Pnv8+LH8+f79+1nfvn05JmyYhYUFS0tLUxpPT09nlpaWKs9DMzctyMWLF+W/vnLlCkpKSuSva2trcfToUa6nHAh/69evhyAI8PLygkwmAwBoampi1qxZCpfh8fbiMo46biDV0tISbcfnhqxevRoeHh64cuUKZDIZIiIi8Mcff+Ds2bM4deoU73j1evjwITw8PJTG33vvPdXPJDTBypUr4ebmBktLS0gkEkRGRipszN2xY4doL84sKSmBqamp0rixsTGfC5lVXk4Rbp7/JCuRSOr9KVdPT49t27aNd0wiAhUVFezixYssKyuLVVRU8I7zUnFxcay6ulpp/MmTJywuLo5DosatX7+ezZ49m9XV1fGO8kouXrzIvLy8mK2tLevduzebMmUKu3jxIu9YDZo8eTL75ptvlMbXrVvHJk6cyCFR42pqaphUKmX//ve/lZ5JpVJ29+5dDqkaZ21tzXbs2KE0Hh8fz6ysrFSehzYUtyAFBQVgjKFbt244d+6cwsWCWlpaMDExgYaGBseEhLw6DQ0N3Lp1S2k/yL1792BiYiK6XiYAMHbsWJw8eRLt2rWDra0tNDU1FZ4fOHCAUzL1FxkZKf/1w4cPsX79eri4uMhPIKWnpyMtLQ2BgYH4v//7P14x3wgxnWhdu3Yt1q1bh3Xr1slnl1JSUhAUFITAwEB8+eWXKs1DxQ0hRK1JJBLcvn1b6RbwrKwsDBs2DPfv3+eUrGHTpk176fOYmBgVJWm6X375BRoaGnB3d1cYP3bsGOrq6jBy5EhOyRRZWVk16X2CICAvL+8vTvPXEtOJVsYYFi9ejMjISNTU1AAAdHR0sGjRIixbtkzleai4aYHi4uLQoUMHjB49GgAQFBSE77//HjY2NtizZ49oOkwS8jIODg4QBAFZWVmwtbVV6JZbW1uL/Px8eHh4YN++fRxTNh99+/bFmjVrMGrUKIXxo0ePYtGiRcjKyuKUrOUSU3Hz3OPHj5GdnQ1dXV289dZb3Ho00YbiFmjVqlXYvHkzAODs2bPYuHEjwsPDcejQIfj7+9OUOFELz9vsS6VSuLu7Q19fX/5MS0sLlpaW8PT05JSuaUpLS3Ht2jUIgoAePXoozT6JyY0bN2BjY6M03qtXL+Tk5HBIRMRIX18fTk5OvGNQcdMSFRUVyU9q/PTTTxg3bhxmzpwJFxcXpZuVCRGr5cuXAwAsLS0xYcIE+b1S6qCiogLz5s1DfHy8/LSXhoYGvLy8EBUVBT09Pc4JlRkaGiIvLw+WlpYK4zk5OUqt9sWkuLgYSUlJKCwslC+XPBcaGsopFfmrKfdLJs2evr4+7t27BwBITk6Wd+rU0dFBVVUVz2iEvLLPPvtMrQobAAgICMCpU6fw888/o6ysDGVlZTh48CBOnTqFwMBA3vHq9eGHH8LPzw+5ubnysZycHAQGBoqyUSLwbENrz549sWnTJmzYsAEnT55ETEwMtm/fLsorDF6VWJsnigHtuWmBpkyZgqtXr8LBwQF79uxBYWEh2rdvj6SkJPzjH//A5cuXeUckpMlqa2sRFhaGffv21fvTuRg3FHfo0AH79+9Xmik9efIkxo8fj9LSUj7BXqK8vBweHh7IyMhAly5dADybFXF1da2347kYDBgwAB4eHvjqq6/k+1NMTEwwZcoUeHh4YNasWbwjvhYx7rkRC5q5aYG+/fZbDBo0CKWlpfjxxx/Rvn17AMCFCxcwadIkzukIeTXBwcEIDQ3F+PHjUV5ejoCAAHz88ceQSCRYsWIF73j1qqysRMeOHZXGTUxMRHt/l6GhIdLS0nD48GH5DdApKSk4ceKEKAsbAMjOzsZnn30GAGjVqhWqqqqgr6+Pr776CmvXruWcrnE1NTW4du2avKHmnx05coQarzZE5Z11CCHkDerWrRs7dOgQY+zZtQA5OTmMMcYiIiLYpEmTeEZr0PDhw9knn3zCqqqq5GOVlZXsk08+YSNGjOCYrH5Pnz5lGhoa7NKlS7yjvJKOHTuyP/74gzHGmI2NDTt48CBj7FkzvNatW/OM9lIVFRVs+vTpTENDg2loaLDc3FzG2LPrUVavXs05nXqgDcUtWGVlZb3T+H379uWUiJBXV1JSAjs7OwDP9pOVl5cDAN5//30sXbqUZ7QGRUREwMPDA126dIG9vT0EQYBUKoWOjg6OHTvGO56SVq1awcLCQpQNEV9m4MCBSEtLg42NDUaPHo3AwEBcunQJBw4cwMCBA3nHa9CXX36JrKws/PrrrwrXR7z77rtYvnw5Fi9ezDGdeqDipgUqLS3F1KlTcfTo0Xqfq9s3MNKydenSBbdu3ULXrl1hbW2N5ORk9OvXD+fPn+fWY6Mxffr0wY0bN7Bz505cvXoVjDFMnDgRU6ZMga6uLu949fq///s/fPnll9i5cyfatWvHO06ThIaG4vHjxwCAFStW4PHjx9i7dy+sra0RFhbGOV3DfvrpJ+zduxcDBw5U2DRsY2OjsKGbNIyKmxbIz88PZWVlSE9Px7Bhw5CYmIjbt28jJCQEGzZs4B2PkFcyduxYpKSkwNnZGb6+vpg0aRK2bduGwsJC+Pv7847XIF1dXcyYMYN3jCaLjIxETk4OzMzMYGFhoXT8+/fff+eUrGEvbrTV09PDpk2bOKZputLSUqXrRIBnLQTohFTTUHHTAp04cQIHDx6Ek5MTJBIJLCws4ObmBgMDA6xevVreuZgQdfDibeXjxo1Dly5dcObMGVhbW4vqiHJSUhJGjhwJTU1NJCUlvfS9Ysr93POmieqopqYGd+7cUbpBvmvXrpwSvZyTkxMOHz6MefPmAfjvke/o6Gj5HVnk5egoeAtkYGCAixcvwtLSEpaWlti1axdcXFyQn58PW1tb0Z7WIESdSSQSlJSUwMTEBBJJwwdVBUGgpeE35Pr16/D29saZM2cUxhljov48nzlzBh4eHpgyZQpiY2Px+eef448//sDZs2dx6tQp9O/fn3dE0aOj4C1Qz549ce3aNQDA3/72N3z33Xf497//jS1btsDU1JRzOkJe3Y4dO+Di4gIzMzMUFBQAAMLDw3Hw4EHOyf6rrq5OvtRQV1fX4IdY/8FVR9OmTYNEIsGhQ4dw4cIF/P777/j999+RmZkpymW05wYPHoy0tDRUVlaie/fuSE5ORseOHXH27FkqbJqIZm5aoF27duHp06eYOnUqMjMz4e7ujrt370JLSwtxcXGYMGEC74iENNnmzZuxbNky+Pn5YeXKlbh8+TK6deuG2NhYxMXF4eTJk7wjKomPj8eECROUNjzX1NQgISEBXl5enJI1TCKRvHS/hxiLstatW+PChQvo1asX7yhExai4IaisrMTVq1fRtWtXdOjQgXccQl6JjY0NVq1ahTFjxih0bL18+TKGDh2Ku3fv8o6oRENDA7du3VLaNHrv3j2YmJiIslD48yzY06dPkZmZibi4OAQHB8Pb25tTsoY5OTkhLCwMb7/9Nu8or+SXX36BhoYG3N3dFcaPHTuGuro6jBw5klMy9UEbiluIgICAJr+XLpMj6iQ/Px8ODg5K49ra2qioqOCQqHHP93z8WXFxMQwNDTkkatxHH32kNDZu3DjY2tpi7969oixu1q5di6CgIKxatQp2dnbQ1NRUeG5gYMAp2cstXrxYYaP8c4wxLF68mIqbJqDipoXIzMxs0vvomCFRN1ZWVpBKpbCwsFAYP3LkCGxsbDilqp+DgwMEQYAgCBgxYgRatfrvt+Da2lrk5+crNG1TB87OzqI90v78UuDhw4crfG8T+4biGzdu1Pu126tXL+Tk5HBIpH6ouGkhxLjvgJA3YeHChZgzZw6qq6vBGMO5c+ewZ88erF69Glu3buUdT8Hz49RSqRTu7u7Q19eXP9PS0oKlpSU8PT05pXt1VVVViIqKkl+kKTbq+n3P0NAQeXl5sLS0VBjPyclR6i9E6kd7bgghai86OhohISEoKioCAHTu3BkrVqwQ5VIJAPnGfR0dHd5Rmqxt27ZKsx+PHj2Cnp4edu7cKcrePADw22+/4bvvvkNubi7279+Pzp07Y8eOHbCyshLtXpyZM2ciPT0diYmJ6N69O4BnhY2npyecnJxEV7SLERU3hBC1JZPJsGvXLri7u6NTp064e/euwpFr8ubExcUpvJZIJDA2NoazszPatm3LKdXL/fjjj/j73/+OKVOmYMeOHbhy5Qq6deuGTZs24dChQ/jll194R6xXeXk5PDw8kJGRIZ8VKy4uhqurKw4cOCDaW9jFhIobQoha09PTQ3Z2ttKeGzGrra1FWFgY9u3bV+/ltffv3+eUrHlxcHCAv78/vLy8FE7SSaVSeHh4oKSkhHfEBtXV1eH48ePIysqCrq4u+vbtiyFDhvCOpTZozw0hRK05OzsjMzNTrYqb4OBgbN26FQEBAVi6dCmWLFmCmzdv4qeffsKyZct4x2tQWVkZtm3bhuzsbAiCABsbG0yfPl20J7yuXbtWb0FgYGCAsrIy1QdqAplMBh0dHUilUrz33nt47733eEdSS1TcEELU2uzZsxEYGIji4mL0799facNl3759OSVr2K5duxAdHY3Ro0cjODgYkyZNQvfu3dG3b1+kp6dj/vz5vCMqycjIgLu7O3R1dTFgwAAwxhAaGoqVK1fKb2IXG1NTU+Tk5ChtzE1NTVW4VFNMWrVqBQsLC9Ge5FIXtCxFCFFr9d3TJAiCqI/7tm7dGtnZ2ejatStMTU1x+PBh9OvXD3l5eXBwcEB5eTnviEpcXV1hbW2N6Oho+RF2mUwGHx8f5OXl4fTp05wTKvvmm28QFxeH7du3w83NDb/88gsKCgrg7++PZcuWYe7cubwj1ismJgY//PADdu7ciXbt2vGOo5Zo5oYQotby8/N5R3hlXbp0wa1bt9C1a1dYW1vLZz7Onz+vdCWDWGRkZCgUNsCzWYagoCA4OjpyTNawoKAglJeXY9iwYaiursaQIUOgra2NBQsWiLawAYDIyEjk5OTAzMwMFhYWSrORYr4XSyyouCGEqLXdu3ejY8eOmD59usL49u3bUVpaikWLFnFK1rCxY8ciJSUFzs7O8PX1xaRJk7Bt2zYUFhbC39+fd7x6GRgYoLCwUOmepqKiIrRp04ZTqsatXLkSS5YswZUrV1BXVwcbGxuF/kJi9LwfEvnf0bIUIUStWVpaYvfu3Rg8eLDC+L/+9S9MnDhRLWZ20tPTcebMGVhbW4u2X8z8+fORmJiI9evXY/DgwRAEAampqVi4cCE8PT0RHh7OOyIhclTcEELUmo6ODrKzs2FlZaUwnpeXBxsbG1RXV3NK1rzU1NRg4cKF2LJlC2QyGQBAU1MTs2bNwpo1a0S7nEZaJuWdeIQQokbMzc2RlpamNJ6WlgYzMzMOiZpmx44dcHFxgZmZGQoKCgAA4eHhSrdvi4WWlhYiIiLw4MEDSKVSZGZm4v79+wgLC6PC5g2TSCTQ0NBo8IM0jvbcEELUmo+PD/z8/PD06VMMHz4cAJCSkoKgoCAEBgZyTle/zZs3Y9myZfDz88PKlSvlJ7qMjIwQHh5e7w3cYqGnpwc7Ozs8fPgQycnJ6NmzJ3r37s07VrOSmJio8Prp06fIzMxEXFwcgoODOaVSL7QsRQhRa4wxLF68GJGRkfJOvzo6Oli0aJFoG+LZ2Nhg1apVGDNmjELn3MuXL2Po0KG4e/cu74hKxo8fjyFDhmDu3LmoqqqCvb09bt68CcYYEhIS1OrCT3W1e/du7N27V7Sze2JCy1KEELUmCALWrl2L0tJSpKenIysrC/fv3xdtYQM8O77u4OCgNK6trY2KigoOiRp3+vRpuLq6Ang2s8AYQ1lZGSIjIxESEsI5Xcvg7OyM48eP846hFqi4IYQ0C/r6+nByckKfPn1EvwfEysoKUqlUafzIkSOwsbFRfaAmKC8vlzeUO3r0KDw9PaGnp4fRo0fjxo0bnNM1f1VVVYiKipJfpElejvbcEEKIii1cuBBz5sxBdXU1GGM4d+4c9uzZg9WrV2Pr1q2849XL3NwcZ8+eRbt27XD06FEkJCQAAB48eAAdHR3O6ZqXtm3bQhAE+WvGGB49egQ9PT3s3LmTYzL1QcUNIYSo2LRp0yCTyRAUFITKykpMnjwZnTt3RkREBCZOnMg7Xr38/PwwZcoU6Ovrw8LCAkOHDgXwbLnKzs6Ob7hm5s89gyQSCYyNjeHs7Iy2bdvyCaVmaEMxIYSokEwmw65du+Du7o5OnTrh7t27qKurg4mJCe9ojbpw4QIKCwvh5uYm7/J7+PBhGBkZwcXFhXM6Qv6LihtCCFExPT09ZGdnw8LCgneUN87AwABSqVS0t26ri7KyMmzbtg3Z2dkQBAE2NjaYPn06DA0NeUdTC7ShmBBCVMzZ2RmZmZm8Y/wl6Ofl15eRkYHu3bsjLCwM9+/fx927dxEaGoru3bvTpZlNRDM3hBCiYj/88AMWL14Mf39/9O/fX+nW5759+3JK9vpe7NtD/jeurq6wtrZWuIVdJpPBx8cHeXl5OH36NOeE4kfFDSGEqJhEojxpLggCGGMQBEHesVgdUXHz+nR1dZGZmal0A/uVK1fg6OiIyspKTsnUB52WIoQQFVOHm8oJPwYGBigsLFQqboqKitCmTRtOqdQL7bkhhBAV2717N1JSUmBhYaHwkZKSIu8fo65e7M9C/jcTJkyAt7c39u7di6KiIhQXFyMhIQE+Pj6YNGkS73hqgWZuCCFExb777jvs3r1badzW1hYTJ07EokWLOKR6M2inw+tbv349BEGAl5cXZDIZAEBTUxOzZs3CmjVrOKdTD7TnhhBCVExHRwfZ2dmwsrJSGM/Ly4ONjQ2qq6s5JXt9qampcHJyEv0VGOqgsrISubm5YIzB2toaenp6vCOpDZq5IYQQFTM3N0daWppScZOWlgYzMzNOqV6utrYWsbGxSElJwZ07d1BXV6fw/MSJEwCAt99+m0e8ZklPTw92dnZ4+PAhkpOT0bNnT/Tu3Zt3LLVAxQ0hhKiYj48P/Pz88PTpUwwfPhwAkJKSgqCgIAQGBnJOVz9fX1/ExsZi9OjR6NOnD+2t+QuNHz8eQ4YMwdy5c1FVVQVHR0fcvHkTjDEkJCTA09OTd0TRo+KGEEJULCgoCPfv38fs2bNRU1MD4NlS1aJFi/Dll19yTle/hIQE7Nu3D6NGjeIdpdk7ffo0lixZAgBITEwEYwxlZWWIi4tDSEgIFTdNQHtuCCGEk8ePHyM7Oxu6urp46623RL1PxczMDL/++it69OjBO0qzp6uri+vXr8Pc3BxeXl4wMzPDmjVrUFhYCBsbGzx+/Jh3RNGjo+CEEMKJvr4+nJyc0KdPH1EXNgAQGBiIiIgIOg2lAubm5jh79iwqKipw9OhRvPfeewCABw8eQEdHh3M69UDLUoQQQhqVmpqKkydP4siRI7C1tYWmpqbC8wMHDnBK1vz4+flhypQp0NfXh4WFBYYOHQrg2XKVnZ0d33BqgpalCCGENGratGkvfR4TE6OiJC3DhQsXUFhYCDc3N+jr6wMADh8+DCMjI7i4uHBOJ35U3BBCCCFqyMDAAFKplO7xqgctSxFCCGmy0tJSXLt2DYIgoEePHjA2NuYdqcWiuYmG0YZiQgghjaqoqMD06dNhamqKIUOGwNXVFWZmZvD29qZbqonoUHFDCCGkUQEBATh16hR+/vlnlJWVoaysDAcPHsSpU6dE23iQtFy054YQQkijOnTogP3798tP7jx38uRJjB8/HqWlpXyCtWBt2rRBVlYW7bmpB83cEEIIaVRlZSU6duyoNG5iYkLLUpzQFRgNo+KGEEJIowYNGoTly5cr3FheVVWF4OBgDBo0iGOylosWXhpGy1KEEEIadfnyZXh4eKC6uhr29vYQBAFSqRQ6Ojo4duwYbG1teUdscVJTU+Hk5CT67tY8UHFDCCGkSaqqqrBz505cvXoVjDHY2NhgypQp0NXV5R2tWamtrUVsbCxSUlJw584d1NXVKTw/ceIEp2Tqg4obQgghRETmzp2L2NhYjB49Gqampkp7a8LCwjglUx9U3BBCCKlXUlISRo4cCU1NTSQlJb30vR9++KGKUjV/HTp0QHx8PEaNGsU7itqi4oYQQki9JBIJSkpKYGJiAomk4fMngiCgtrZWhcmaNzMzM/z666/o0aMH7yhqi4obQgghREQ2bNiAvLw8bNy4kY57/4+ouCGEENKo+Ph4TJgwQelkTk1NDRISEuDl5cUpWfMzduxYnDx5Eu3atYOtrS00NTUVnh84cIBTMvVBxQ0hhJBGaWho4NatWzAxMVEYv3fvHkxMTGhZ6g2aNm3aS5/HxMSoKIn6olvBCSGENIoxVu8SSXFxMQwNDTkkar6oeHl9VNwQQghpkIODAwRBgCAIGDFiBFq1+u8/G7W1tcjPz4eHhwfHhM1XaWkprl27BkEQ0KNHDxgbG/OOpDaouCGEENKgMWPGAACkUinc3d2hr68vf6alpQVLS0t4enpyStc8VVRUYN68eYiPj5c38NPQ0ICXlxeioqKgp6fHOaH40Z4bQgghjYqLi8OECROgo6PDO0qz9/nnn+P48ePYuHEjXFxcADy7amH+/Plwc3PD5s2bOScUPypuCCGEEBHp0KED9u/fj6FDhyqMnzx5EuPHj0dpaSmfYGqElqUIIYQ0qra2FmFhYdi3bx8KCwtRU1Oj8Pz+/fuckjU/lZWV6Nixo9K4iYkJKisrOSRSPw23nCSEEEL+v+DgYISGhmL8+PEoLy9HQEAAPv74Y0gkEqxYsYJ3vGZl0KBBWL58Oaqrq+VjVVVVCA4OxqBBgzgmUx+0LEUIIaRR3bt3R2RkJEaPHo02bdpAKpXKx9LT07F7927eEZuNy5cvw8PDA9XV1bC3t4cgCJBKpdDR0cGxY8dga2vLO6LoUXFDCCGkUa1bt0Z2dja6du0KU1NTHD58GP369UNeXh4cHBxQXl7OO2KzUlVVhZ07d+Lq1atgjMHGxgZTpkyBrq4u72hqgfbcEEIIaVSXLl1w69YtdO3aFdbW1khOTka/fv1w/vx5pSsZyOvT1dXFjBkzeMdQW1TcEEIIadTYsWORkpICZ2dn+Pr6YtKkSdi2bRsKCwvh7+/PO57aS0pKwsiRI6GpqYmkpKSXvvfDDz9UUSr1RctShBBCXll6ejrOnDkDa2tr+sf2DZBIJCgpKYGJiQkkkobP+giCQPd4NQEVN4QQQghpVugoOCGEkCbZsWMHXFxcYGZmhoKCAgBAeHg4Dh48yDlZ8xIfH48nT54ojdfU1CA+Pp5DIvVDxQ0hhJBGbd68GQEBARg1ahTKysrkSyNGRkYIDw/nG66ZmTZtWr2nzx49eoRp06ZxSKR+qLghhBDSqKioKERHR2PJkiXQ0NCQjzs6OuLSpUsckzU/jDEIgqA0XlxcDENDQw6J1A+dliKEENKo/Px8ODg4KI1ra2ujoqKCQ6Lmx8HBAYIgQBAEjBgxAq1a/fef6NraWuTn58PDw4NjQvVBxQ0hhJBGWVlZQSqVwsLCQmH8yJEjsLGx4ZSqeRkzZgwAQCqVwt3dHfr6+vJnWlpasLS0hKenJ6d06oWKG0IIIY1auHAh5syZg+rqajDGcO7cOezZswerV6/G1q1becdrFpYvXw4AsLS0xIQJE6Cjo8M5kfqio+CEEEKaJDo6GiEhISgqKgIAdO7cGStWrIC3tzfnZIQoouKGEELIS8lkMuzatQvu7u7o1KkT7t69i7q6OpiYmPCO1izV1tYiLCwM+/btQ2FhIWpqahSe379/n1My9UGnpQghhLxUq1atMGvWLHnvlQ4dOlBh8xcKDg5GaGgoxo8fj/LycgQEBODjjz+GRCLBihUreMdTC1TcEEIIaZSzszMyMzN5x2gRdu3ahejoaCxYsACtWrXCpEmTsHXrVixbtgzp6em846kF2lBMCCGkUbNnz0ZgYCCKi4vRv39/tG7dWuF53759OSVrfkpKSmBnZwcA0NfXlzf0e//997F06VKe0dQGFTeEEEIaNWHCBADA/Pnz5WOCIMgbztFljm9Oly5dcOvWLXTt2hXW1tZITk5Gv379cP78eWhra/OOpxaouCGEENKo/Px83hFajLFjxyIlJQXOzs7w9fXFpEmTsG3bNhQWFsLf3593PLVAp6UIIYQ0avXq1ejYsSOmT5+uML59+3aUlpZi0aJFnJI1f+np6Thz5gysra3x4Ycf8o6jFqi4IYQQ0ihLS0vs3r0bgwcPVhj/17/+hYkTJ9LMDhEVOi1FCCGkUSUlJTA1NVUaNzY2xq1btzgkat527NgBFxcXmJmZoaCgAAAQHh6OgwcPck6mHqi4IYQQ0ihzc3OkpaUpjaelpcHMzIxDouZr8+bNCAgIwKhRo1BWVibfrG1kZITw8HC+4dQEFTeEEEIa5ePjAz8/P8TExKCgoAAFBQXYvn07/P39MWPGDN7xmpWoqChER0djyZIl0NDQkI87Ojri0qVLHJOpDzotRQghpFFBQUG4f/8+Zs+eLb8OQEdHB4sWLcKXX37JOV3zkp+fDwcHB6VxbW1tVFRUcEikfqi4IYQQ0ihBELB27VosXboU2dnZ0NXVxVtvvUV9V/4CVlZWkEqlsLCwUBg/cuQIbGxsOKVSL1TcEEIIaTJ9fX04OTnxjtGsLVy4EHPmzEF1dTUYYzh37hz27NmD1atXY+vWrbzjqQU6Ck4IIYSITHR0NEJCQlBUVAQA6Ny5M1asWAFvb2/OydQDFTeEEEKISMhkMuzatQvu7u7o1KkT7t69i7q6OrqF/RVRcUMIIYSIiJ6eHrKzs5X23JCmo6PghBBCiIg4OzsjMzOTdwy1RhuKCSGEEBGZPXs2AgMDUVxcjP79+6N169YKz/v27cspmfqgZSlCCCFERCQS5UUVQRDAGIMgCPKOxaRhNHNDCCGEiAhdQvr6aM8NIYQQIiK7d+9GSkoKLCwsFD5SUlKQkJDAO55aoOKGEEIIEZHvvvsOvXr1Uhq3tbXFli1bOCRSP1TcEEIIISJSUlICU1NTpXFjY2PcunWLQyL1Q8UNIYQQIiLm5uZIS0tTGk9LS4OZmRmHROqHNhQTQgghIuLj4wM/Pz88ffoUw4cPBwCkpKQgKCgIgYGBnNOpBzoKTgghhIgIYwyLFy9GZGQkampqAAA6OjpYtGgRli1bxjmdeqDihhBCCBGhx48fIzs7G7q6unjrrbegra3NO5LaoOKGEEIIIc0KbSgmhBBCSLNCxQ0hhBBCmhUqbgghhBDSrFBxQwghhJBmhYobQojKTJ06FYIgKH3k5OS89p8dGxsLIyOj1w9JCFF71MSPEKJSHh4eiImJURgzNjbmlKZ+T58+haamJu8YhJD/Ec3cEEJUSltbG506dVL40NDQwM8//4z+/ftDR0cH3bp1Q3BwMGQymfz3hYaGws7ODq1bt4a5uTlmz56Nx48fAwB+/fVXTJs2DeXl5fLZoBUrVgAABEHATz/9pJDByMgIsbGxAICbN29CEATs27cPQ4cOhY6ODnbu3AkAiImJQe/evaGjo4NevXph06ZNf/nnhxDy+mjmhhDC3bFjx/Dpp58iMjISrq6uyM3NxcyZMwEAy5cvBwBIJBJERkbC0tIS+fn5mD17NoKCgrBp0yYMHjwY4eHhWLZsGa5duwYA0NfXf6UMixYtwoYNGxATEwNtbW1ER0dj+fLl2LhxIxwcHJCZmYkZM2agdevW+Oyzz97sJ4AQ8mYxQghRkc8++4xpaGiw1q1byz/GjRvHXF1d2apVqxTeu2PHDmZqatrgn7Vv3z7Wvn17+euYmBhmaGio9D4ALDExUWHM0NCQxcTEMMYYy8/PZwBYeHi4wnvMzc3Z7t27Fca+/vprNmjQoCb8lxJCeKKZG0KISg0bNgybN2+Wv27dujWsra1x/vx5rFy5Uj5eW1uL6upqVFZWQk9PDydPnsSqVatw5coVPHz4EDKZDNXV1aioqEDr1q1fO5ejo6P816WlpSgqKoK3tzdmzJghH5fJZDA0NHztv4sQ8tei4oYQolLPi5kX1dXVITg4GB9//LHS+3V0dFBQUIBRo0bhiy++wNdff4127dohNTUV3t7eePr06Uv/PkEQwP50y0x9v+fFAqmurg4AEB0dDWdnZ4X3aWhovPw/kBDCHRU3hBDu+vXrh2vXrikVPc9lZGRAJpNhw4YNkEienYPYt2+fwnu0tLRQW1ur9HuNjY1x69Yt+esbN26gsrLypXk6duyIzp07Iy8vD1OmTHnV/xxCCGdU3BBCuFu2bBnef/99mJub45NPPoFEIsHFixdx6dIlhISEoHv37pDJZIiKisIHH3yAtLQ0bNmyReHPsLS0xOPHj5GSkgJ7e3vo6elBT08Pw4cPx8aNGzFw4EDU1dVh0aJFTTrmvWLFCsyfPx8GBgYYOXIknjx5goyMDDx48AABAQF/1aeCEPIG0FFwQgh37u7uOHToEP75z3/CyckJAwcORGhoKCwsLAAAf/vb3xAaGoq1a9eiT58+2LVrF1avXq3wZwwePBhffPEFJkyYAGNjY3zzzTcAgA0bNsDc3BxDhgzB5MmTsWDBAujp6TWaycfHB1u3bkVsbCzs7OzwzjvvIDY2FlZWVm/+E0AIeaME9ufFaEIIIYQQNUYzN4QQQghpVqi4IYQQQkizQsUNIYQQQpoVKm4IIYQQ0qxQcUMIIYSQZoWKG0IIIYQ0K1TcEEIIIaRZoeKGEEIIIc0KFTeEEEIIaVaouCGEEEJIs0LFDSGEEEKaFSpuCCGEENKs/D9wARnIgarDLQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.barplot(df_fi, x='Feature', y='Importance');\n",
    "plt.xticks(rotation=90);\n",
    "ax.set_title('Relative Importance of Features in Predicting Adoption');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "937a42b3-1089-406f-aa2e-7a744d63c488",
   "metadata": {},
   "source": [
    "According to our Random Forest Classifier, the factor that has the strongest influence on whether or not a user 'adopted' (e.g. if they logged into their account 3+ times in a given week), is the lapsed time between account creation and their most recent login. This makes intuitive sense, as a user whose most recent login has a longer lapsed time since thier account creation, indicates that they stuck with the account. On the contrary, many users who didn't adopt have a lapsed time of 0, indicating that they created an account (their first and last login), and never logged in again. For Relax to retain users, we hope to see a lapsed time > 0. Accordingly, the second and third most important features are the last session creation time, which represents a timestamp of the last login, and the creation time, a timestamp of their account creation, respectively. The fourth most important feature is the # users per organization. Since we know the organization ID of each user, we could count the total number of each organization ID to see which organizations had the most user representation.\n",
    "\n",
    "It is interesting to note that 2 of the top 4 most important features were engineered, as in we created them based on information from other features. Our 'lapsed_time' feature was created by subtracting the creation time of the account from the last login time. The 'users_per_org' feature was created by counting the number of each organization ID. When we consider the effect of the other features, such as whether or not the user opted in to the mailing list, whether or not they enabled for the marketing drip, as well as the various creation source categories, the weight of these features might be obscured by the relative importance of our engineered features. These latter 7 features are all more closely clumped in relative importance than the top 4 features, but are still worth considering as they offer more information about our users. All present features considered, we note that the next (5th) most important feature is whether or not they opted in to the mailing list, and thee 6th most important feature is whether or not their account was created based on an invitation to join an organization as a full member.\n",
    "\n",
    "Finally, considering that lapsed time is the most important in predicting adoption and (as shown from the heat map) this feature has a strong positive correlation with adoption, a primary goal for Relax should be to encourage users to login in to their account additional times after account creation. Incentives might include a reward system for consecutive day or week logins, or upcoming surprises that are advertised to users to encourage them to log in on a future date."
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