02_Data_Ingestion/20230520_Enron_EDA.ipynb

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    "### Enron Email classification :\n",
    "The Enron Email classification problem aims to classify the emails of the Enron Corporation, an American energy company that famously collapsed due to financial scandal and fraud. The dataset consists of approximately 500,000 emails from over 150 Enron employees, including senior executives.\n",
    "\n",
    "The objective of the problem is to develop a machine learning algorithm that can accurately classify the emails into different categories based on their content.\n",
    "\n",
    "The Enron Email classification problem is a challenging task due to the high dimensionality of the data and the complex relationships between the emails and their categories. However, it is also a crucial problem with many practical applications and can benefit from advances in natural language processing and machine learning techniques.\n",
    "\n",
    "Before going to the machine learning model building, we will need to clearning and preprocessing the given. In this notebook, I will be preprocessing and cleaning the given data."
   ]
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    "\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "\n",
    "import os\n",
    "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "    for filename in filenames:\n",
    "        print(os.path.join(dirname, filename))\n"
   ]
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   "source": [
    "### load the required libraries"
   ]
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   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import email\n",
    "import warnings \n",
    "warnings.filterwarnings('ignore')\n",
    "import parser"
   ]
  },
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   "source": [
    "# read the dataset\n",
    "df= pd.read_csv(\"/Users/radhikasharma/Documents/Radhika/MSCA/Quarter 3/Capstone1/emails.csv\")"
   ]
  },
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   "source": [
    "## EDA"
   ]
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       "      <th>message</th>\n",
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       "      <td>allen-p/_sent_mail/1.</td>\n",
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       "                       file                                            message\n",
       "0     allen-p/_sent_mail/1.  Message-ID: <18782981.1075855378110.JavaMail.e...\n",
       "1    allen-p/_sent_mail/10.  Message-ID: <15464986.1075855378456.JavaMail.e...\n",
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      ]
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   "source": [
    "# display first 5 rows of the dataset using head function\n",
    "df.head()"
   ]
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       "(517401, 2)"
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   "source": [
    "# check the shape \n",
    "df.shape"
   ]
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     "text": [
      "allen-p/_sent_mail/10.\n",
      "\n",
      "\n",
      "Message-ID: <15464986.1075855378456.JavaMail.evans@thyme>\n",
      "Date: Fri, 4 May 2001 13:51:00 -0700 (PDT)\n",
      "From: phillip.allen@enron.com\n",
      "To: john.lavorato@enron.com\n",
      "Subject: Re:\n",
      "Mime-Version: 1.0\n",
      "Content-Type: text/plain; charset=us-ascii\n",
      "Content-Transfer-Encoding: 7bit\n",
      "X-From: Phillip K Allen\n",
      "X-To: John J Lavorato <John J Lavorato/ENRON@enronXgate@ENRON>\n",
      "X-cc: \n",
      "X-bcc: \n",
      "X-Folder: \\Phillip_Allen_Jan2002_1\\Allen, Phillip K.\\'Sent Mail\n",
      "X-Origin: Allen-P\n",
      "X-FileName: pallen (Non-Privileged).pst\n",
      "\n",
      "Traveling to have a business meeting takes the fun out of the trip.  Especially if you have to prepare a presentation.  I would suggest holding the business plan meetings here then take a trip without any formal business meetings.  I would even try and get some honest opinions on whether a trip is even desired or necessary.\n",
      "\n",
      "As far as the business meetings, I think it would be more productive to try and stimulate discussions across the different groups about what is working and what is not.  Too often the presenter speaks and the others are quiet just waiting for their turn.   The meetings might be better if held in a round table discussion format.  \n",
      "\n",
      "My suggestion for where to go is Austin.  Play golf and rent a ski boat and jet ski's.  Flying somewhere takes too much time.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# get message value\n",
    "print(df.loc[1]['file'])\n",
    "print(\"\\n\")\n",
    "print(df.loc[1]['message'])"
   ]
  },
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       "[('Message-ID', '<15464986.1075855378456.JavaMail.evans@thyme>'),\n",
       " ('Date', 'Fri, 4 May 2001 13:51:00 -0700 (PDT)'),\n",
       " ('From', 'phillip.allen@enron.com'),\n",
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      ]
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   ],
   "source": [
    "# transform the email into correct form\n",
    "message = df.loc[1]['message']\n",
    "emails = email.message_from_string(message)\n",
    "emails.items()"
   ]
  },
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     "data": {
      "text/plain": [
       "\"Traveling to have a business meeting takes the fun out of the trip.  Especially if you have to prepare a presentation.  I would suggest holding the business plan meetings here then take a trip without any formal business meetings.  I would even try and get some honest opinions on whether a trip is even desired or necessary.\\n\\nAs far as the business meetings, I think it would be more productive to try and stimulate discussions across the different groups about what is working and what is not.  Too often the presenter speaks and the others are quiet just waiting for their turn.   The meetings might be better if held in a round table discussion format.  \\n\\nMy suggestion for where to go is Austin.  Play golf and rent a ski boat and jet ski's.  Flying somewhere takes too much time.\\n\""
      ]
     },
     "execution_count": 9,
     "metadata": {},
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    }
   ],
   "source": [
    "# get email body\n",
    "emails.get_payload()"
   ]
  },
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      "text/plain": [
       "'Fri, 4 May 2001 13:51:00 -0700 (PDT)'"
      ]
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   "source": [
    "emails.get(\"Date\")"
   ]
  },
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   "source": [
    "# feature we are extract from the email \n",
    "# 1. date 2. X-From 3. X-To 4. Subject 5. X-Folder \n",
    "# extract feature from the email for all datasets\n",
    "def extract_data(feature,df):\n",
    "    column= []\n",
    "    for row in df:\n",
    "        e = email.message_from_string(row)\n",
    "        column.append(e.get(feature))\n",
    "    return column    "
   ]
  },
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   "source": [
    "df['Date'] = extract_data(\"Date\",df['message'])\n",
    "df['Subject'] = extract_data(\"Subject\",df['message'])\n",
    "df['X-From'] = extract_data(\"X-From\",df['message'])\n",
    "df['X-To'] = extract_data(\"X-To\",df['message'])\n",
    "df['X-Folder'] = extract_data(\"X-Folder\",df['message'])"
   ]
  },
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   "source": [
    "# extract email body from email message\n",
    "def get_email_body(data):\n",
    "    column =[]\n",
    "    for msg in data:\n",
    "        e = email.message_from_string(msg)\n",
    "        column.append(e.get_payload())\n",
    "    return column\n",
    "df['body'] = get_email_body(df['message'])"
   ]
  },
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       "      <th></th>\n",
       "      <th>file</th>\n",
       "      <th>message</th>\n",
       "      <th>Date</th>\n",
       "      <th>Subject</th>\n",
       "      <th>X-From</th>\n",
       "      <th>X-To</th>\n",
       "      <th>X-Folder</th>\n",
       "      <th>body</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>allen-p/_sent_mail/1.</td>\n",
       "      <td>Message-ID: &lt;18782981.1075855378110.JavaMail.e...</td>\n",
       "      <td>Mon, 14 May 2001 16:39:00 -0700 (PDT)</td>\n",
       "      <td></td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>Tim Belden &lt;Tim Belden/Enron@EnronXGate&gt;</td>\n",
       "      <td>\\Phillip_Allen_Jan2002_1\\Allen, Phillip K.\\'Se...</td>\n",
       "      <td>Here is our forecast\\n\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>allen-p/_sent_mail/10.</td>\n",
       "      <td>Message-ID: &lt;15464986.1075855378456.JavaMail.e...</td>\n",
       "      <td>Fri, 4 May 2001 13:51:00 -0700 (PDT)</td>\n",
       "      <td>Re:</td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>John J Lavorato &lt;John J Lavorato/ENRON@enronXg...</td>\n",
       "      <td>\\Phillip_Allen_Jan2002_1\\Allen, Phillip K.\\'Se...</td>\n",
       "      <td>Traveling to have a business meeting takes the...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>allen-p/_sent_mail/100.</td>\n",
       "      <td>Message-ID: &lt;24216240.1075855687451.JavaMail.e...</td>\n",
       "      <td>Wed, 18 Oct 2000 03:00:00 -0700 (PDT)</td>\n",
       "      <td>Re: test</td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>Leah Van Arsdall</td>\n",
       "      <td>\\Phillip_Allen_Dec2000\\Notes Folders\\'sent mail</td>\n",
       "      <td>test successful.  way to go!!!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>allen-p/_sent_mail/1000.</td>\n",
       "      <td>Message-ID: &lt;13505866.1075863688222.JavaMail.e...</td>\n",
       "      <td>Mon, 23 Oct 2000 06:13:00 -0700 (PDT)</td>\n",
       "      <td></td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>Randall L Gay</td>\n",
       "      <td>\\Phillip_Allen_Dec2000\\Notes Folders\\'sent mail</td>\n",
       "      <td>Randy,\\n\\n Can you send me a schedule of the s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>allen-p/_sent_mail/1001.</td>\n",
       "      <td>Message-ID: &lt;30922949.1075863688243.JavaMail.e...</td>\n",
       "      <td>Thu, 31 Aug 2000 05:07:00 -0700 (PDT)</td>\n",
       "      <td>Re: Hello</td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>Greg Piper</td>\n",
       "      <td>\\Phillip_Allen_Dec2000\\Notes Folders\\'sent mail</td>\n",
       "      <td>Let's shoot for Tuesday at 11:45.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       file  \\\n",
       "0     allen-p/_sent_mail/1.   \n",
       "1    allen-p/_sent_mail/10.   \n",
       "2   allen-p/_sent_mail/100.   \n",
       "3  allen-p/_sent_mail/1000.   \n",
       "4  allen-p/_sent_mail/1001.   \n",
       "\n",
       "                                             message  \\\n",
       "0  Message-ID: <18782981.1075855378110.JavaMail.e...   \n",
       "1  Message-ID: <15464986.1075855378456.JavaMail.e...   \n",
       "2  Message-ID: <24216240.1075855687451.JavaMail.e...   \n",
       "3  Message-ID: <13505866.1075863688222.JavaMail.e...   \n",
       "4  Message-ID: <30922949.1075863688243.JavaMail.e...   \n",
       "\n",
       "                                    Date    Subject           X-From  \\\n",
       "0  Mon, 14 May 2001 16:39:00 -0700 (PDT)             Phillip K Allen   \n",
       "1   Fri, 4 May 2001 13:51:00 -0700 (PDT)        Re:  Phillip K Allen   \n",
       "2  Wed, 18 Oct 2000 03:00:00 -0700 (PDT)   Re: test  Phillip K Allen   \n",
       "3  Mon, 23 Oct 2000 06:13:00 -0700 (PDT)             Phillip K Allen   \n",
       "4  Thu, 31 Aug 2000 05:07:00 -0700 (PDT)  Re: Hello  Phillip K Allen   \n",
       "\n",
       "                                                X-To  \\\n",
       "0           Tim Belden <Tim Belden/Enron@EnronXGate>   \n",
       "1  John J Lavorato <John J Lavorato/ENRON@enronXg...   \n",
       "2                                   Leah Van Arsdall   \n",
       "3                                      Randall L Gay   \n",
       "4                                         Greg Piper   \n",
       "\n",
       "                                            X-Folder  \\\n",
       "0  \\Phillip_Allen_Jan2002_1\\Allen, Phillip K.\\'Se...   \n",
       "1  \\Phillip_Allen_Jan2002_1\\Allen, Phillip K.\\'Se...   \n",
       "2    \\Phillip_Allen_Dec2000\\Notes Folders\\'sent mail   \n",
       "3    \\Phillip_Allen_Dec2000\\Notes Folders\\'sent mail   \n",
       "4    \\Phillip_Allen_Dec2000\\Notes Folders\\'sent mail   \n",
       "\n",
       "                                                body  \n",
       "0                          Here is our forecast\\n\\n   \n",
       "1  Traveling to have a business meeting takes the...  \n",
       "2                     test successful.  way to go!!!  \n",
       "3  Randy,\\n\\n Can you send me a schedule of the s...  \n",
       "4                Let's shoot for Tuesday at 11:45.    "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2af27de3",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Employee names\n",
    "\n",
    "def emp_name(data):\n",
    "    column=[]\n",
    "    for msg in data:\n",
    "        column.append(msg.split(\"/\")[0])\n",
    "    return column\n",
    "\n",
    "df['Employee'] = emp_name(df['file'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "eac75917",
   "metadata": {
    "execution": {
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    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>file</th>\n",
       "      <th>message</th>\n",
       "      <th>Date</th>\n",
       "      <th>Subject</th>\n",
       "      <th>X-From</th>\n",
       "      <th>X-To</th>\n",
       "      <th>X-Folder</th>\n",
       "      <th>body</th>\n",
       "      <th>Employee</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>allen-p/_sent_mail/1.</td>\n",
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       "      <td></td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>Tim Belden &lt;Tim Belden/Enron@EnronXGate&gt;</td>\n",
       "      <td>\\Phillip_Allen_Jan2002_1\\Allen, Phillip K.\\'Se...</td>\n",
       "      <td>Here is our forecast\\n\\n</td>\n",
       "      <td>allen-p</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>allen-p/_sent_mail/10.</td>\n",
       "      <td>Message-ID: &lt;15464986.1075855378456.JavaMail.e...</td>\n",
       "      <td>Fri, 4 May 2001 13:51:00 -0700 (PDT)</td>\n",
       "      <td>Re:</td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>John J Lavorato &lt;John J Lavorato/ENRON@enronXg...</td>\n",
       "      <td>\\Phillip_Allen_Jan2002_1\\Allen, Phillip K.\\'Se...</td>\n",
       "      <td>Traveling to have a business meeting takes the...</td>\n",
       "      <td>allen-p</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>allen-p/_sent_mail/100.</td>\n",
       "      <td>Message-ID: &lt;24216240.1075855687451.JavaMail.e...</td>\n",
       "      <td>Wed, 18 Oct 2000 03:00:00 -0700 (PDT)</td>\n",
       "      <td>Re: test</td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>Leah Van Arsdall</td>\n",
       "      <td>\\Phillip_Allen_Dec2000\\Notes Folders\\'sent mail</td>\n",
       "      <td>test successful.  way to go!!!</td>\n",
       "      <td>allen-p</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      file                                            message  \\\n",
       "0    allen-p/_sent_mail/1.  Message-ID: <18782981.1075855378110.JavaMail.e...   \n",
       "1   allen-p/_sent_mail/10.  Message-ID: <15464986.1075855378456.JavaMail.e...   \n",
       "2  allen-p/_sent_mail/100.  Message-ID: <24216240.1075855687451.JavaMail.e...   \n",
       "\n",
       "                                    Date   Subject           X-From  \\\n",
       "0  Mon, 14 May 2001 16:39:00 -0700 (PDT)            Phillip K Allen   \n",
       "1   Fri, 4 May 2001 13:51:00 -0700 (PDT)       Re:  Phillip K Allen   \n",
       "2  Wed, 18 Oct 2000 03:00:00 -0700 (PDT)  Re: test  Phillip K Allen   \n",
       "\n",
       "                                                X-To  \\\n",
       "0           Tim Belden <Tim Belden/Enron@EnronXGate>   \n",
       "1  John J Lavorato <John J Lavorato/ENRON@enronXg...   \n",
       "2                                   Leah Van Arsdall   \n",
       "\n",
       "                                            X-Folder  \\\n",
       "0  \\Phillip_Allen_Jan2002_1\\Allen, Phillip K.\\'Se...   \n",
       "1  \\Phillip_Allen_Jan2002_1\\Allen, Phillip K.\\'Se...   \n",
       "2    \\Phillip_Allen_Dec2000\\Notes Folders\\'sent mail   \n",
       "\n",
       "                                                body Employee  \n",
       "0                          Here is our forecast\\n\\n   allen-p  \n",
       "1  Traveling to have a business meeting takes the...  allen-p  \n",
       "2                     test successful.  way to go!!!  allen-p  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "469b649d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-15T11:42:00.810068Z",
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     "start_time": "2023-04-15T11:42:00.798317",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         14-05-2001 16:39:00\n",
       "1         04-05-2001 13:51:00\n",
       "2         18-10-2000 03:00:00\n",
       "3         23-10-2000 06:13:00\n",
       "4         31-08-2000 05:07:00\n",
       "                 ...         \n",
       "517396    28-11-2001 13:30:11\n",
       "517397    28-11-2001 12:47:48\n",
       "517398    28-11-2001 07:20:00\n",
       "517399    27-11-2001 11:52:45\n",
       "517400    26-11-2001 10:48:43\n",
       "Name: Date, Length: 517401, dtype: object"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Date']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "b259a09f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-15T11:42:00.839823Z",
     "iopub.status.busy": "2023-04-15T11:42:00.839366Z",
     "iopub.status.idle": "2023-04-15T11:42:00.926322Z",
     "shell.execute_reply": "2023-04-15T11:42:00.924764Z"
    },
    "papermill": {
     "duration": 0.099647,
     "end_time": "2023-04-15T11:42:00.928198",
     "exception": false,
     "start_time": "2023-04-15T11:42:00.828551",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of folder : 517401\n",
      "number of unique folder : 5336\n"
     ]
    }
   ],
   "source": [
    "# find the unique folder\n",
    "print(\"number of folder :\",df.shape[0])\n",
    "print(\"number of unique folder :\",df['X-Folder'].unique().shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "af95afc2",
   "metadata": {
    "execution": {
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     "iopub.status.idle": "2023-04-15T11:42:01.005058Z",
     "shell.execute_reply": "2023-04-15T11:42:01.004103Z"
    },
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     "start_time": "2023-04-15T11:42:00.938652",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
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       "    .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>Folder_name</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>\\Kay_Mann_June2001_1\\Notes Folders\\All documents</td>\n",
       "      <td>6639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>\\Tanya_Jones_Dec2000\\Notes Folders\\All documents</td>\n",
       "      <td>5934</td>\n",
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       "      <th>4</th>\n",
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       "      <td>5066</td>\n",
       "    </tr>\n",
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       "      <th>5</th>\n",
       "      <td>\\Kay_Mann_June2001_2\\Notes Folders\\Discussion ...</td>\n",
       "      <td>4956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>\\Jeff_Dasovich_Dec2000\\Notes Folders\\All docum...</td>\n",
       "      <td>4660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>\\Kay_Mann_June2001_3\\Notes Folders\\Sent</td>\n",
       "      <td>4440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>\\Kay_Mann_June2001_4\\Notes Folders\\'sent mail</td>\n",
       "      <td>4220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>\\Mark_Taylor _Dec_2000\\Notes Folders\\All docum...</td>\n",
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       "      <th>10</th>\n",
       "      <td>\\Vincent_Kaminski_Jun2001_2\\Notes Folders\\Disc...</td>\n",
       "      <td>3980</td>\n",
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       "      <td>\\kate symes 6-27-02\\Notes Folders\\All documents</td>\n",
       "      <td>3221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>\\kate symes 6-27-02\\Notes Folders\\Discussion t...</td>\n",
       "      <td>3065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>\\Tanya_Jones_Dec2000\\Notes Folders\\Notes inbox</td>\n",
       "      <td>2975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>\\Sara_Shackleton_Dec2000_June2001_2\\Notes Fold...</td>\n",
       "      <td>2944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>\\Darren_Farmer_Dec2000\\Notes Folders\\All docum...</td>\n",
       "      <td>2838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>\\Tanya_Jones_Dec2000\\Notes Folders\\Sent</td>\n",
       "      <td>2633</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          Folder_name  Count\n",
       "0    \\Kay_Mann_June2001_1\\Notes Folders\\All documents   6639\n",
       "1    \\Tanya_Jones_Dec2000\\Notes Folders\\All documents   5934\n",
       "2   \\Jeff_Dasovich_June2001\\Notes Folders\\All docu...   5637\n",
       "3   \\Sara_Shackleton_Dec2000_June2001_1\\Notes Fold...   5211\n",
       "4   \\Vincent_Kaminski_Jun2001_1\\Notes Folders\\All ...   5066\n",
       "5   \\Kay_Mann_June2001_2\\Notes Folders\\Discussion ...   4956\n",
       "6   \\Jeff_Dasovich_Dec2000\\Notes Folders\\All docum...   4660\n",
       "7             \\Kay_Mann_June2001_3\\Notes Folders\\Sent   4440\n",
       "8       \\Kay_Mann_June2001_4\\Notes Folders\\'sent mail   4220\n",
       "9   \\Mark_Taylor _Dec_2000\\Notes Folders\\All docum...   4022\n",
       "10  \\Vincent_Kaminski_Jun2001_2\\Notes Folders\\Disc...   3980\n",
       "11  \\Jeff_Dasovich_June2001\\Notes Folders\\Notes inbox   3535\n",
       "12  \\Steven_Kean_June2001_4\\Notes Folders\\Discussi...   3434\n",
       "13  \\Tanya_Jones_June2001\\Notes Folders\\All documents   3365\n",
       "14    \\kate symes 6-27-02\\Notes Folders\\All documents   3221\n",
       "15  \\kate symes 6-27-02\\Notes Folders\\Discussion t...   3065\n",
       "16     \\Tanya_Jones_Dec2000\\Notes Folders\\Notes inbox   2975\n",
       "17  \\Sara_Shackleton_Dec2000_June2001_2\\Notes Fold...   2944\n",
       "18  \\Darren_Farmer_Dec2000\\Notes Folders\\All docum...   2838\n",
       "19            \\Tanya_Jones_Dec2000\\Notes Folders\\Sent   2633"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unique_emails = pd.DataFrame(df['X-Folder'].value_counts())\n",
    "unique_emails.reset_index(inplace=True)\n",
    "\n",
    "# show top 20 folder highest counts\n",
    "unique_emails.columns =['Folder_name','Count']\n",
    "unique_emails.iloc[:20,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ccaf04ec",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-15T11:42:01.030072Z",
     "iopub.status.busy": "2023-04-15T11:42:01.029087Z",
     "iopub.status.idle": "2023-04-15T11:42:01.401439Z",
     "shell.execute_reply": "2023-04-15T11:42:01.400610Z"
    },
    "papermill": {
     "duration": 0.385873,
     "end_time": "2023-04-15T11:42:01.403410",
     "exception": false,
     "start_time": "2023-04-15T11:42:01.017537",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Uj+IhvqAn69nd2O7Ke1U/Uti+Zk7rMDcz/wrLfqj/ySRJkiRJkswO0lidh7F9FyWMchqS9gDOqcv6vO129oV2C5JuorwepMqJtod8WDp0J5JOoYT6VrkuvYJJkiRJkiRJMvNkGHCSJMk8Rr9+/TxixIg5rUaSJEmSJElLOgsDzgOWkiRJkiRJkiRJkh5HhgEnSZLMY7z38mT+duEP5rQaSZIkSTLP8h9fOXVOq/CRID2rSZIkSZIkSZIkSY8jjdUkSZIkSZIkSZKkx5HGapIkSZIkSZIkSdLjSGN1LkLSSEkLxPX5kkZLekLSO3E9WtIBc0CvYfGu1A8dSb2j/6MkTZD0iKTDZ6G+KyU9JWm8pEsr4y1J50l6VtJYSVtUyuwZZZ6VdHJFvqykOyU9E3+XkbSapNvr2pwo6YbK9wMkDWyh506StpvZftbV9X5l/YyW1LuTvAMbrbHQ5w/doMudkv6jgXyMpKub6dLOGuwuHT8MunN+kyRJkiRJ5lbSWJ27eADYHsD2cbb7AJ8B/mS7T3yun5MKziH+ZLuv7Q2Bg4CvSzpyJuu6EtgA2BRYBPhSyD8NrBefY4ALAST1As6P9I2AgyVtFGVOBu62vR5wN3Cy7UnA8pIWqWu3n6SNu6DnTkB3GTPvVNZPH9sTu6nepkhqdrjbEGDPurwbUv6t2lHSYrNbtx7CTnTf/CZJkiRJksyVpLE6d3E7dT/kq4SX8Y/hgR1Z88yEl2aYpOslPRneQ0n6lKSbKuV3k3RjXF8oaYSkxyWd0a6Ckg6WNC48k+dU5G9JOis8ZA9JWinkK0i6QdKj8dk+5J+sePpGSVqinfZtPwf8N3BC1LNYeEgfjXr2CXkvSeeGrmMlHR/lb3MAPAKsFlXvA1wRSQ8BS0taGdgaeNb2c7bfBa6JvLUyl8f15cC+cT0M+GSd6ucC32kwnstK+l3o+JCkzcLzeSzFKB8t6RPdPY6S+kR7YyXdJGmZBnn2jPV0P/C5irzZmB8h6TpJvwfukLSypPtCt/GSPkHjNf4FYBBwB7B3O/q3oeMM4xryxSVdVlkX+4f8rUrZaZ7v8O5eKGmopOdivC9V8fIPrJTZXdKDcV9eJ2nxkE+UdEbIx0naoMn8HhhjNEbSfU36ekzcsyP+8da/ujJMSZIkSZIkPZI0VucuhgI7d5L+d2A321sA/YHzKml9gRMp3r+1KR7ae4ANJa0QeY4ELovrU+LlvJsBn6z9mO8MSasA5wC7AH2ArSTtG8mLAQ/Z3hy4Dzg65D8DfmJ7K2B/4JKQfwOoeY8/AbzTqv0KIyneUYBTgHui/p2BASreuWOAtYC+tjejeFSrfVkAOBQYHKJVgRcqWSaFrJkcYCXbkwHi74ohH0zxxFb5LbCFpHXr5GcAo0LH71AM5onARZRx62P7j8zaOC5SMWhrDy+uAE6KdscB36sbn4WBXwGfjXqrobvNxhxgW+Bw27tQjNAhodvmwGjbjwMbqHisa/QHrgWuBg5uoH9DWug4w7iG/LvA67Y3jbR72mhqGcqa/zrwe+AnwMbApmH0Lw+cCuwa9+YIygOVGq+E/ELgG03m9zRgj7h/Ghrsti+23c92v+UW/6g4oJMkSZIkmZdJY3UuwvbbwGthFDZiAeBXksYB11EM0xqP2J5k+wNgNNA7vIeDgC9KWppiSNT2U35e0khgFOWHd7WuZmwFDLP9su2pFANwx0h7F6jtF3wM6B3XuwK/kDQauAVYMrx/w4EfSzoBWDrqaxdVrncHTo76hwELA2tEuxfV6rX9z7o6LgDuC0Ohvs4a7kTeGX8EdqiTvQ8MAL5dJ9+BMkfYvgdYTtJSDeqclXGshgHvF/UvbfveSL+cjnmssQHwvO1nYh39ppLWbMwB7qyM9aPAkZJOBza1/WbIH6F4rJG0FfCy7T9TQqm3aOTlbUJnOjYb110pYd1E2qtttPP7qH8c8JLtcXGfPU5Z59tQ7p/hMSaHA2tWyt8Yf6v3RT3DgYGSjgZ6NcmTJEmSJEkyT9Fs31jSc6nt6bu0QdrXgZcoXqr5gH9X0qZUrt+nY+4vo3iD/g1cZ3uqpLUoHrmtbL8a4YwLt6FbI8Otxnvxg76+/fmAbW3Xe/zOlnQrZU/uQ5J2tf1kGzpA8SJPqOi0v+2nplNUEk2MSknfA1YAvlwRTwJWr3xfDXgRWLCJHOAlSSvbnqwSMvx3ANvvSpokae0IW64xiGKsPl5Vp4GKjfSeHePYimZGebMx/zgwLT7V9n2SdgT2AgZJGmD7Cjo8zw9SPKkbSJoYxZZkes/xrOjYKG+zdVGV1d8LtXvrA6a/zz6grPP3KUZ6M69wrUz1vpi+cfvYGL+9gNGS+tj+R5P6kiRJkiRJ5gnSszr30dm+1aWAyeHVOZQ2PDC2X6QYV6cCA0O8JMWoeF1lb2l9yGozHqaEDC8fYZwHA/e2KHMH8NXaF0l94u864aE6hxI2uUHj4tMT+/3OBX4eoiHA8WGcIqlvpd1jFQf9SFo2/n4J2AM4OMaxxi3AYSpsQwkVnUzxDq4naS1JC1IOeLqlUqZ2MvHhwM2V+gZTN4+236OEkJ5YEd8HHBK67UQJGX0DeBOo7j/ttnG0/TrwqsoeUihrqX4enwTWkrROfK8aYs3GfDokrQn83favgF8DtROW7wI+JWk+4EBgM9u9bfem7ANuNxS4Mx2bjWv9ONa8uC9J2jB02q/N9ms8BGxfC/GWtKik9VuUmW5+Yx4ftn0a8ArTPyBJkiRJkiSZJ0ljdS7D9gRg/bo9fTUuAA6X9BCwPhUvVguuBF6w/US0MYYS/vs4xYM7vEX5+YEpYbx9m7K3dgww0vbNnZYsByH1UznM5gnKwTIAJ9YOlKHss7y9aQ2wjuLVNZS9nz+3Xdt7+31KePRYSePjOxTP3F9CPoayfxLKXsGVgAdjD+dpIb8NeA54lrIP8v8BRFjtVykG2gTgt7HvEuBsYDdJzwC7xfcazR46/JrpvWun18YnyteM398D+9UO4KF7xrHK4ZS9pmMp+4/PrCba/jdl3++tKocX/bmS3GzM69mJ4iUcRfGW/izqfoMSNr4/8Ffbf62UuQ/YKDzVndJCx9NpPK4/AJapjFltj/jJlDD2e4DJrdqu0+Nl4Ajg6mjvIVo/NKif3wGKg8soYzCmKzokSZIkSZLMjagjMjOZW5B0ETDIdisjst36fkE5bObXM1F2IYoBt0l45JI2kfQYsJ3tKS0zf8RQeV/tC7avbJk5mYHN11zVQ07+ypxWI0mSJEnmWf7jK6fOaRXmGSQ9Fge7zpiWxupHmzCY/kU5RbhLRpOkfpR9llfY/uHs0C9Jkq7Tr18/jxgxYk6rkSRJkiRJ0pLOjNU8YOkjju0t282r8lqTterEJ9oe0r1aNWx7U+L01gpTbH98dredJEmSJEmSJMmHTxqrSdvY7urBMt3Z9jjK3skkSZIkSZIkST4CpLGaJEkyj/Hvvz/Lk+fvM6fVSJIkSZI5xgbHtTrjM5kbyNOAkyRJkiRJkiRJkh5HGqtJkiRJkiRJkiRJjyON1SRJkiRJkiRJkqTHkcZqD0HSSEkLVL4PlHRAizIbSBotaZSkdSSdIGmCpIbvppR0hKSXI/8zkoZI2q67+9Kk7b3j3ZnN0ntLGt+F+lqOT1eRtKikWyU9KelxSWdX0haSdK2kZyU9LKl3Je3wGM9nJB1ekX818lvS8iHbQdKFde1a0v9Vvn9D0uktdN1X0kbd0Ofekt6JdVT7LNhJ/mHxyqJ6+RHxvt5Z1We6+yBk80t6RdIP6+TTdJE0sTbGndTdLTp+GHTX/CZJkiRJkszNpLHac3gA2L6LZfYFbrbd1/afgP8HfMb2IZ2UuTbyrwecDdwoacOZ0rgL2L7F9tmtc85xzrW9AdAX2F7Sp0N+FPCq7XWBnwDnAEhaFvge8HFga+B7kpaJMsOBXYE/V+p/ENi2rs0pwOdaGVt17At0lzHzJ9t9Kp93u6nepkhqdrhbo/tgd+Ap4POSNFsV6znsS/fNb5IkSZIkyVxJGqs9h9uBPRslSNpS0r2SHgtv6MqSPgOcCHxJ0lBJFwFrA7dI+no7DdoeClwMHBPtHC3pUUljJN0gadGQHyhpfMjvC9nCki6TNC48tTuH/GFJG1d0Hxb6T/NqSVpJ0k1R35iKd7eXpF+FV/MOSYu004+qV01SP0nD4vp0SZeGDs9JOqFS5ouSHglP4i8l9bL9dowJYbCNBFaLIvsAl8f19cCnwnDaA7jT9j9tvwrcScyj7VG2J9aN+fvAM5I2qIinxjzMMG+S1pR0t6Sx8XeNGK+9gQGh/zrxGRxr5I+1+hvNXZtj+qmY13Exhgs1yHOkpKcl3UvFwJS0QqyfR+OzfchPl3SxpDuAKyRtXJmDsZLWo/F9cDDwM+AvwDbt9qGFjjOMa8hnWJuq8/qr4vmOtfUTSfepRDVsJelGFS/7DyplZlhvIX9L0lnR1kPRfqP5PUHSE6HvNU36eoykEZJGvPrWbH/ekCRJkiRJMttJY7XnMBTYuV6oEhL5c+AA21sClwJn2b4NuAj4ie2dbR8LvAjsbPsnXWh3JFAznG60vZXtzYEJFG8iwGnAHiHfO2THAdjelGJMXC5pYeAa4POh+8rAKrYfq2vzPODeqG8L4PGQrwecb3tj4DVg/y70oxkbUAzKmtdzARVPcn9ge9t9gPeB6bzRkpYGPgvcHaJVgReiz1OB14HlqvJgUsg6YzDw6TrZ+cAhkpaqk/8CuML2ZsCVwHm2HwBuAb4ZntA/UYzd42ONfAO4IMo3mrt61lFHCPD5MY8Dgf4xv/MDX6kWiLk9g2IA7sb0XsCfUdblVpQ5vKSStiWwj+0vAMcCP4s56EcZu+nug3hg8SngD8DVlLXWFi10nGFcQ95sbXbGu7Z3pNyPN1PujU2AIyQt12K9LQY8FO3dBxzdZH5PBvqGvsc2UsL2xbb72e63zOJNI7mTJEmSJEnmGtJY7SHYfht4TdIqdUkfo/zwvVPSaOBUOrx93UE1rHKT8MqNo/yYrnlIhwMDJR0N9ArZDsCg0P1JSqjr+sBvgQMjz+eB6xq0uQtwYZR93/brIX/e9ui4fgzoPUs9K9xqe4rtV4C/AytRjJ8tgUdjTD9F8UoD00JUr6YYhs/VxA3qdifyzhhMMaA7CthvAFcAJ9Tl3Ra4Kq4HUcZ9OiQtDmwHXBf9+SWwciQ3mrt6qmHAx1HW3PO2n470y4Ed68p8HBhm++XwQl9bSdsV+EXocguwpKQlIu0W2+/E9YPAdySdBKxp+50G98F/AkNDfgOwX80r2Qad6dhsXJutzc64Jf6OAx63Pdn2FOA5YHU6X2/vUgxx6HzNjwWulPRFiic+SZIkSZJknqfZvrFkzjCEEgJ5aUUmyg/g+n2O3UVfihcVijdtX9tjJB0B7ARg+1hJHwf2AkZL6kNjIw3bf5X0D0mbUbxJX+6CLlMq1+8DbYUBU3681x68LNyizvkpul9u+9tN6rsYeMb2TyuySRTDY1IYs0sB/wz5TpV8qwHDOlM2xmhZSYuGEVbjpxRP92WdFW8gmw94Lbx29W3NMHe2/9GZfjSZ2zZ1qemzbcUoLZWW7ab/quh2laSHQ7chkr5k+x6mvw8OpuwdnhjFlqN4Xu+aRR27kq+6vqD5GvuA6dfbB7Reb+/ZrrVdW5+N2IvywGBv4LuSNg4Pf5IkSZIkyTxLelZ7Fo326z0FrCBpWyhhwarsCZ0VJH2Ssl/1VyFaApgcoceHVPKtY/th26cBr1CMtvtqeSStD6wRukIJBf4WsJTtcQ2avpsIK5XUS9KSs9iViRTPFbQXOnw3cICkFUOHZSWtGdc/oBiiJ9aVuQWonfR7AHBPGBlDgN0lLaNysNLuIWvFUKY3crH9T4pn+qiK+AHgoLg+BLg/rt+kzFfNK/u8pAOjD5K0eVw3mrtWPAn0lrRufD8UuLcuz8PAThHmugAd3nSAO4Cv1r7Ew40ZkLQ28Jzt8yjju1kk3Q7sGetiB2AN271t96aE2LYbCtyZjs3GtdHafAlYMepZiOLt7QpN11snTJtfSfMBq8d+6m8BSwOLd1GHJEmSJEmSuY40VnsQticA60eY4/zAlAhfPAA4R9IYYDQl5HNm6R97E58GvgPsH+0CfJfyA/9OisFSY4DKQTvjKUbqGMqeyF4RMnwtcESEPkI5gOggiuHViK8BO0fZx+gIN+4K89PhxToD+JmkP1K8U51i+wlKOPUdksZS+ruypNWAUyh7G0fGOH0piv0aWE7Ss8B/U/YQ1gzM7wOPxufMkBGH4kyieFvHSqru3Wy0bxXg/4DqqcAnAEeGnodSxg7KA4FvKl5bRDG4joo18jjlQChoPHetxuffwJGUsOJxFA/hRXV5JgOnU0J576J4hKs694vDgJ6gyR5Liud9fITGbkAJg552H1CMy3sq6wrKntC91eDApwb9aKVjo3GdYW3afg84k3Jv/IHp742WNFtvLYpNm1/KXu7fhE6jKPuBX+uKDkmSJEmSJHMj6ohAS3oCKqf6DqIc9HKY7XYOePlIEZ6mR5mLxyc8fQ/b3mJO69ITqd0HtofPaV3mRjZZY2lff9In57QaSZIkSTLH2OC4m+e0CkmbSHrMdr+GaWms9iziYJm7KIfKHDen9elp5PgkSWv69evnESNGzGk1kiRJkiRJWtKZsZoHLPUwbL/I9K/Y6DKSjqQjrLHG8LnRuJN0PpX3YwYDbHd2CFGSJEmSJEmSJHM5aazOg4QhN08Yc3OjgZ0kSZIkSZIkyayTxmqSJMk8xpuvPMOwX+01p9VIkiRJPoLsdPStc1qFZB4iTwNOkiRJkiRJkiRJehxprCZJkiRJkiRJkiQ9jjRWkyRJkiRJkiRJkh7HbDFWJY2M90jWvm8j6WFJoyVNkHT67Gi30t4pkh6XNDba/HjIJ0pavhvqb1iPpLdalFta0v+b1fYb1DtM0lPR3ycl/ULS0jNZ1yFRz1hJD0javJK2Z7TzrKSTK/JlJd0p6Zn4u0wl7duR/ylJe7Rou1vmp67OPpIerKyH/pW0tWJdPiPpWkkLhlySzgu9x0raolLmUkl/lzS+jbYPjHY/kNQvZKtJur0u30RJN1S+HyBpYIu6d5K0XdsD0Xld78d9Uvv07iTvQEkHNNHnD92gy52S/qOBfIykq5vpEvdAwyPPu1vHD4PunN8kSZIkSZK5ldnlWX2A6V83cjlwjO0+wCbAb9utSFKXDoGStC3wn8AWtjcDdgVe6Eods5GlgW43VoNDor+bAVOAmX0T8vPAJ6Ou7wMXA0jqBZwPfJryap2DJdVesXMycLft9YC74zuRfhCwMbAncEHU82HyNnCY7ZoOP60Y8ucAPwm9XwWOCvmngfXicwxwYaW+gVFPO4wHPgfcVxPYngQsL2mRurz9JG3cZr0AOwHdZcy8Y7tP5TOxm+ptSif39RDqxlfShpR/q3aUtNjs1q2HsBPdN79JkiRJkiRzJbPLWL2d6X9wrghMBrD9vu0nACRtHd67UfH3YyE/QtJ1kn4P3CFpcUl3h8d2nKR9Oml7ZeAV21OivVfi3aU1jq/Us0ELPXpJOjfyjpV0fLUhSYtIGizp6HolJH1T0qNR7owQnw2sE96rAeHBGyBpfLTRP8ruFJ6i61U8pVdKUjsDb/td4FvAGgqvqKQvSnok2v1lzWBU8ZSODK/V3VH+AduvRnUPAavF9dbAs7afizauAWrzsA/lgQTxd9+K/BrbU2w/Dzwb9XSKpN5Vz6Wkbyi88TEu50R/npb0iZD3irGsjfmXoz9P234mrl8E/g6sEOO5C3B9E72vcOEhYGlJK0cd9wH/bNWHyDvB9lMNkoYBn6yTnQt8p8FYLCvpd9GnhyRtFp7PY4Gvx5x+QtIKkm6I/j8qafso/8mKx3SUpCXa0V3FI/1QtHuTKt7ySp49Y33eTzHKa/LFVDzQj0ab+4S8/r5eWdJ9odv4mMv6fzsAvgAMAu4A9m5H/zZ0nGFcQ764pMsq9/z+IX+rUnaa51vFu3uhpKGSnovxvlQlgmRgpczuKh7+kTEGi4d8oqQzVPk3qcn8HhhjNEbStIcfSZIkSZIk8zKz69U1Q4HTKt9/AjwlaRgwGLjc9r+BJ4EdbU+VtCvwv8D+UWZbYDPb/1Txwuxn+w2VMNGHJN1i2w3avgM4TdLTwF3AtbbvraS/YnsLlXDcbwBf6kSPY4C1gL6RtmylnsUpBtsVtq+oKiBpd4pXbmtAwC2SdqR4HDcJDzPxQ7gPsDmwPPBo5YdoX4pH8kVgOMVTfX/D0a7D9vuSxgAbSHoX6A9sb/s9SRcAh6iEov4q+v18Xd9qHEUxHgBWZXoP9STg43G9ku3aw4jJklaslHmorsyq7fShBfPb3lrSZ4DvUbznRwGv295K0kLAcEl3hJEMlIcSwILAn4DlgNdsT22gW6O+rko8cOkGBlOMrsEV2W+B/ydp3bq8ZwCjbO8raRfKeusj6SLgLdvnRt+uoniJ75e0BsVDuSFljR9ne3gYSP9uoM8ikkbH9fO29wOuAI63fa+kMynjfGKtgKSFKetnF8pDiGsr9Z0C3GP7v1S82I9IuivSqvf1/wBDbJ+l8gBlUdtvhsHWy/b7UaY/sBvwMeCrwHThwM1ooeMM40q5F79LWUebRh0zGOkNWCba2Bv4PeVe/RLlfu5DWT+nArva/pekk4D/Bs6M8tP9m2T7Sw3mdxywh+2/qkmIv6RjKP9msdKyC7ehdpIkSZIkSc9mthirtt+W9JqkVWy/aPtMSVcCu1O8JAdTwtyWAi6XtB5gYIFKNXfarnmwBPxvGHwfUAyHlYC/NWj7LUlbAp8AdgaulXSy7YGR5cb4+xgdnpZmeuwKXFQzaCr6QAmz/ZHtKxsMwe7xGRXfF6cYr3+py7cDcHX8KH9J0r3AVsAbwCMRMkoYEr1p01gNap7YTwFbUn44AyxC8S5uA9xXM+bq+oaknSkG4A519VVp9LCgkQ5dKdMO1TnsHde7A5upYz/lUpQxfx5AxTM6CDjc9gdSQ091TbfZpXeNPwI/qpO9DwwAvk3HAwIo478/gO17JC0naakGde4KbFTp1pIqXtThwI/j/ruxtqbqeKf2AAUg6l+68pDncuC6ujIbUAzbZ6LMbwhDiTIXe0v6RnxfGFgjrqv39aPApSr7239ne3TIH6E86HlQ0lbAy7b/LGlS5F+m4v3vjM50bDauu1JC14m0dtr5vW2HQfmS7XHR3uOU9bkaJXR+eMzPgsCDlfKN/k2qZzgwUNJvK/mnw/bFRNj+x3ov1Z3rNUmSJEmSZI4wO08Dnm7vme0/2b6QYjxtLmk5yp7IobY3AT5L+VFb41+V60OAFYAt40f1S3V5pyNCjYfZ/h7FE7N/JXlK/H2fDmO9mR6iuZEyHPh0E6NHwA8rewDXtf3rJvmaMaVyXdW1JeGl2hSYEG1cXtHlY7ZPp5O+RUjkJcA+tv8R4knA6pVsq1G8vlAM7ZWj7MoUY7hVmc6YyvRrs36uG82hKJ7AWj/Xsn1H6LQkcCtwaoT1ArxCCe+tla/qNrN6t0WEUU+StHZd0iBgRzoMu1q/ZqiigWw+YNtK/1e1/abtsylevkUoEQkbdEMXOtMDis77V3RZw/aESJt2X0dI9Y7AX4FBkg6LpMGUfcNQHmxtIGkixSO+JNPfz7OiY6O8ze6LqqzZevyA6e/bDyjrUxQjvTYeG9k+qkH5pve57WMp3tnVgdHx72eSJEmSJMk8zew0VqftPZO0V8WoW4/yo+w1ivfrryE/opO6lgL+HmGsOwNrNsso6WPhIa3RB/hzC12b6XEHcGzNoKkLlT0N+AdwQYP6hgD/VdmXtmqExr4JVPcM3gf0V9lvuQLlh/sjLXTtlPBS/RB4wfZYyoFHB9RCc1X26q1J8ex8UtJa1b5FCOmNwKG2n65U/SiwnsoJugtSvE+3RNotwOFxfTgdhzvdAhwkaaFoZ702+/cSsGJ4uxaiHJjViiHAV6L/SFpfZe/kgsBNlPDZad7BCCEfCtQ8sfV6H6bCNpSw0O4KAa4xmLq9mbbfo4TMn1gR30d5WIOknSgho28w41q6g/JghsjbJ/6uY3uc7XOAERRvY6fYfh14VbEfGDgUuLcu25PAWpLWie8HV9KGUPaGK3To26idWId/t/0r4NdA7dTlu4BPSZoPOJASNtzbdm/KfuKDG9XXgM50bDau9eNYCwN+SdKGodN+bbZf4yFge0WIt6RFJa3fosx08xvz+LDt0ygPWlZvWjJJkiRJkmQeYbYZq+FJWT+8fIdS9qyOpniPDonQ1x8BP5Q0HOjslNgrKaeljqD8wHyyk7yLU0J6n5A0lhJ+d3oLdZvpcQkldHesyh7QL9SVOxFYWNJ0IZ3h0buKEsY4jnKIzxLhpRyuclDKAIoRNRYYA9wDfMv2DKHNbXJl9Hc8sBhx+JHLYVanUg60GQvcCaxs+2VKSOSN0bfafr7TKPs5L1A53GVE1DOV8iN+CMVj+1vbj0eZs4HdJD1D2Vt4dpR5nLIX8wmKcXZcZR9iI+YHpoTRdibwMPAHOp/vGpdEOyNVDmf6ZdT3ecpDgCPUcdBQnyhzEvDfkp6NPte837cBz1H2Of6KygnOKq9PeRD4mKRJkqoesumQtF+Erm4L3CppSCW50UFChA5V79rplLU/ljKutYcCvwf2i/58Ajihlk/SE5QDegBOjPU2BniH6UOMO+NwYEC024eO/ZUAuOw5Pyb6dT/TPxD6PiWUfmzMxfebtLETxUs4iuIt/VnU/Qbwbsj+avuvlTL3UcKdV27VgRY6nk7jcf0BsExlzHYO+cmUtXgPXdy7HPfaEcDV0d5DtH5oUD+/A1QOYBpPGYMxXdEhSZIkSZJkbkRueEZRN1VeDgkZZHv4bGskmScIz/Jo291xANNcgaTHgO0cJ1cnHai8x/eFJnvCkxZ8rPdS/uUpO7TOmCRJkiTdzE5H3zqnVUjmMiQ9Zrtfw7TZaawmSTtI2pvi3f5f152snCRJ1+nXr59HjBgxp9VIkiRJkiRpSWfG6ux6dc1sJw4YubtB0qcqhwLNU0i6ifIqnSon2R7SKH9PRdLDwEJ14gNrp6jObUg6n/K6kio/s33ZnNAnSZIkSZIkSeYF5lpjNQzSPnNajw8Tl/dfzvXY/njrXHMPto+b0zokSZIkSZIkybzG7DwNOEmSJEmSJEmSJElmirnWs5okSZI05tVXnuH6yxodNp0kSZIkXeOAIwfPaRWSjzDpWU2SJEmSJEmSJEl6HGmsJkmSJEmSJEmSJD2ONFZbIGmkpAXi+ghJV9elLy/pZUkLSXrgQ9TrREmLtsgzUdLycb2lpOcl9e2Gti+RtNFMlDtC0i8ayI+VdFgn5QZKOqCr7UXZ1SUNlTRB0uOSvlZJW1bSnZKeib/LVNK+LelZSU9J2qMiP0vSC5LeaqPtHWP9TK3pH+tkRF2+YVWZpH6ShrWou4+kz7Q1CK31nChpnKTR8dmuk7ynS/pGA3lvSeO7QZdLJM1wAJekmyU92EyXdtZId+n4YdCd85skSZIkSTK3ksZqax6g47UkNwK71RmJBwC32J5iu+mP/NnAiUCnxmoNSZsB1wP9bY+a1YZtf8n2E7NaT6W+i2bj+1WnAv9je0NgG+C4iqF9MnC37fUor0E6GSDSDwI2BvYELpDUK8r8Hti6zbb/AhwBXFUT2J4CTJbUuy7vipI+3YV+9QG605jZ2Xaf+Mz2hy6V8axnMPDpurxLA1sAS0uqf3XTvEofund+kyRJkiRJ5jrSWG3N7RSDBdtvAPcBn62kHwRcDVDztknaKbxl10t6UtKVkhRpW0l6QNIYSY9IWkJSL0kDJD0qaaykL3dWj6QTgFWAoZKGttB/Q+B3wKG2H4l6PyvpYUmjJN0laaWQny7pckl3hLftc5J+FF63wRUP8zBJ/Wp9Dm/jGEkPVeo6UNL4kN9Xr5SkvSQ9qOKZbuita4Sm9xZP80BGHZeGbs/FGGF7su2Rcf0mMAFYNarbB7g8ri8H9q3Ir4kHEM8DzxIGqu2HbE9uR1fbE22PBT6oSxpMrKkKA4BTG/R3YUmXxRyMkrSzpAWBM4H+4QntL2mx6P+jkW+fKL9xrLPRsbbWa0d3SWtKujvK3C1pjQZ5toz5fRA4riLvbD0PlXQVMC50vjXqGC+pP3AnsGtdU/tTHhJcQ7nf2qYTHWcY14ru54Z8rKTjQ97ZumvnntlS0r2SHpM0RNLKIR8m6ZyYo6clfaLJ/H5SHZ7vUZKW6Mo4JEmSJEmSzI2ksdqaocDOle9XEz+YJa0CrB956ulL8X5uBKwNbB8/Qq8FvmZ7c8qP8neAo4DXbW8FbAUcrQ4P0gz12D4PeJHiDavq1oibga/avr8iux/YxnZfigHwrUraOsBeFIPtN8BQ25uGnns1qH8x4KHoz33A0SE/Ddgj5HtXC0jaj+LF/IztV1ro3xU2APagGJbfqxkKlXZ7U8bz4RCtVDM84++KIV8VeKFSdBIdBm53MO0BSIUHgSk1o6nCcaHfpsDBFKN6Psr4Xhue0GuBU4B7Yg3tDAyQtBhwLPAz232AftGXRgwNQ6g2Nr8ArrC9GXAlcF6DMpcBJ9jetk7e2XreGjjF9kYxBi/a3tz2JsBg268DUyUtV6nvYMp9d3Vcd4VmOs4wrpIWBo4B1gL6Vvreik7vmViHPwcOsL0lcClwVqX8/La3ptzn37P9LjPO7zeA42IePxF1T4ekYySNkDTijbfebUPtJEmSJEmSnk0aqy2w/TbwWhimAH8AdpC0JPB54Hrb7zco+ojtSbY/AEYDvYGPAZNtPxp1v2F7KrA7cJik0RRDajlgvU7q6Qp3AV/S9GGXqwFDJI0DvkkJd61xu+33gHFAL4oXkPjeqO13KWMC8Fglz3BgoKSjo54aOwMnAXvZfrWLfWnFreENfQX4O7BSLUHS4sANwInhIe8MNZC5u5S0/Rywejy8qPIDZvSu7gAMinJPAn+mPCCpZ3fg5FhDw4CFgTUoRvB3JJ0ErGl7BiMnqIUB1/aLbktH+PKg0GMakpYClrZ9byVPVZfO1vPzcT0O2DU8i58IQxXgjqgDFU/9usD9tp+mGLKbNOnDdLTQsdm47gpcFPcltv/ZRlOt7pmPAZsAd8aYnEq5B2vcGH+r9089w4EfR8TA0jX9qti+2HY/2/2WXLx+aSVJkiRJksx9pLHaHkPoCAV+h/JjdD8qIcANmFK5fp/yTlvR2OgRcHxlz+Batu/opJ6u8NX4e0FF9nPgF+H9+TLFsJlO7zCO37Nd0/eDJm1X80zTz/axlB/lqwOjK56y54AlaGxwtcNUOtbtwnVpDccqPFs3AFfavrGS56VKOObKFAMXivdx9Uq+1Sie7O5kOHUGoO17KH3apiJuZDg3QsD+lTW0hu0Jtq+ieLbfoTyg2GUm9a1ft83Wci2t2Xr+17QKi/G5JcWo+6Gk0yKpum+1P7AM8LykiRRjrt1Q4FY6dqVMy3XXyT0j4PHKeGxqe/f68nRyf9s+G/gSsAjwkKQNmuifJEmSJEkyz5DGanvUh21eDfw3xXP3UBfqeRJYRdJWACr7VeenGMNfqexvWz9CODvjTYrR14oPKGGOH5N0ZsiWAv4a14d3Qf+2kbSO7Ydtnwa8Qofx92fgc8AVkjZuWkFzJlIMHCh7GVvpIeDXwATbP65LvoWO/h9OCZmuyQ9SObl3LYpX8JGZ0LUzGoUCQwkPrYZl3wccAmVdULylTzHj/A8Bjo/+ojj1WdLawHMROn4LsFmb+j1Ah1F4CCV0fBq2XwNel7RDJU9Vl5brOaIV3rb9G+BcyiFKAKOAzaMvBwN72u5tuzdl7tsyVlvo2Gxc7wCOjfsSSctG/ol0Yd3V8RSwgqRto84F2lj7081v3E/jbJ8DjKCEvCdJkiRJkszTpLHaBrYnAOtXQmnvoBxwdG3Fi9JOPe9SPEU/lzSGcpjMwsAlwBPASJVXa/yS1h7Ui4Hb1fqApdoJtPsAe0s6DjgduE7SHymG5OxgQBwyM55iGIyp6PMUxVC4TtI6bdQ1Px3epzOAn4XujcKv69keOBTYpXJATe2U1bMppzs/A+wW37H9OPBbypwMpuwVfB8gDs+ZBCwqaZKk05s1rHKY1iTgQOCXkh6vJA8DdqovY/s24OWK6AKgV4RsXwscEfM5FNiodgAP8H1gAWBsjPn3o3x/YHyEn24AtHvq8gnAkZLGUsbvaw3yHAmcr3J4UTW8uN31vCnwSOh2CiUMmrinRlOM1zWoPBCKEOI31OD1Nk1opmOzcb2Ecorz2LhHvxD5u7ruphH3/QHAOVHnaKDVyeH183ui4sCy6MftXdEhSZIkSZJkbkRdsLU+0ki6CBhke/ic1uWjhKT5gEeBw8KInGeQdDtwtO1mhx59ZJF0ELCO7bNaZk5mYJ3eS/mc79WfKZUkSZIkXeeAIwe3zpQks4Ckx2z3a5TW1f2PH1liD2byIRJhondRTledpwxVANtdea/qRwrb18xpHZIkSZIkSZI5Sxqr8wDxupGF6sSH2h43J/SZWSSdTwnbrTLA9mVzQp92kXQKJdS3ynXpFUzmFMssv14+CU+SJEmSZK4njdV5gMrrRuZqbB83p3WYGcIoTcM0SZIkSZIkSbqRPGApSZIkSZIkSZIk6XGkZzVJkmQe4+V/PMMvB+0xp9VIkiRJ5gK+fOiQOa1CkjQlPatJkiRJkiRJkiRJjyON1SRJkiRJkiRJkqTHkcZqkiRJkiRJkiRJ0uNIY3UWkTRS0gKV7wMlHRDXy0oaJenIbmprJ0mWdFRF1jdk3+iONtrQYZikhi/tnYU6V5c0VNIESY9L+lolbVlJd0p6Jv4uU0n7tqRnJT0laY+K/CxJL0h6q422/1vSE5LGSrpb0pqSFpI0oi7fsKpMUj9Jw1rU3UfSZ9ochlZ6TpQ0TtLo+GzXSd7TG60HSb0lje8GXS6R9PHK9yMkvRxr/RlJQ6r6STpT0q6z2u5M6LmKpOu7qa4TJS1a+d5ybXVTuxMlLf9htJUkSZIkSdLTSGN11nmAGd8NiqSlgCHAxd38ntBxQP/K94OAMd1Y/5xgKvA/tjcEtgGOk7RRpJ0M3G17PeDu+E6kHwRsDOwJXCCpV5T5PbB1m22PAvrZ3gy4HviR7SnAZEm96/KuKOnTXehXH6BbjNVgZ9t94vNAN9bbkMp41jMYqB+Ha233jXk6G7hR0oYAtk+zfddsVLUhtl+0fUA3VXcisGirTFUk5QF2SZIkSZIks0Aaq7PO7RRjqcriIb/K9oUwzav1x/DEjqx5niQNkrRPraCkKyXt3Ul7fwEWlrSSJEXbt1fKHy3pUUljJN1Q8waFx/c8SQ9Ieq7i/d0pvIbXS3oy2lc7Ha96lyQdIGlgZ21F2jdDv7GSzgCwPdn2yLh+E5gArBpF9gEuj+vLgX0r8mtsT7H9PPAsYaDafsj25Hb6YHuo7bfj60PAanE9mBnndQBwaoNxWFjSZeH5HCVpZ0kLAmcC/cMT2l/SYpIujf6Pqs27pI0lPRL5xkparx3dwwt8d8UrvEaDPFvGWngQOK4i7yVpQGUuvhzynVS83FcB40LnW6OO8ZL6A3cCTT2ltocCFwPHRJ3VaIOz1eHJPjdkK0m6KdoYI2m7ei+wpG9IOj2uT6jUcU3IPqkOr/MoSUtU62g0RyE/QtKNkgareIV/1GAMTwBWAYZKGlqRnxX6PiRppUpffxz5zpG0TtT9mMr9v0Hk+6ykh0OXuyrll5N0R8h/CSjkjeahXs9jJI2QNOKtN99tNj1JkiRJkiRzDWmszjpDgZ3rZD8G7rf9k4rs78ButregeEbPC/klwJEwzRu7HXBbizavBw6MvCOBKZW0G21vZXtzitF3VCVtZWAH4D8p3q8afSmeo42AtWngKZ4JZmhL0u7AehSjsg+wpaQdq4VUvJl9gYdDtFLN8Iy/K4Z8VeCFStFJdBi4M8tRdBj+jR5CPAhMqRk6FY4L/TYFDqYY1fMBp1E8jn1sXwucAtxjeyvKmhkgaTHgWOBntvsA/aIvjRgaxlhtbH4BXBFe4SvpWFNVLgNOsL1tg76+HrpsBRwtaa1I2xo4xfZGMQYv2t7c9ibAYNuvA1MlLddETyjrcoOqQNKywH7AxqHzDyLpPODeWLNbAI93Ui8U73rfqOPYkH0DOC7G8BPAO3VlZpgjSQtHWh/KPbkp5eHC6tWCts8DXqR4tmtzvxjwUOh8H3B0pcj6wK62/4ditB9ve8vQ8YLIcz+wje2+wDXAt0L+Pcq/HX2BW4DaA4gZ5qF+UGxfbLuf7X6LL7Fg45FLkiRJkiSZi0hjdRYJr9xrklapiO8B9pG0YkW2APArSeOA6yiGIbbvBdaNvAcDN9ie2qLZ31KM1YOBq+vSNgkPzjjgEEqYbI3f2f7A9hPAShX5I7Yn2f4AGA30btXvNmjU1u7xGUWHMTPNiyhpceAG4ETbb7Sov5H31zOrrKQvUgzFAQC2nwNWV/GQVvkBM3pXdwAGRbkngT9TDJZ6dgdOljQaGAYsTDFGHgS+I+kkYE3b9YZWjVoYcG2/6LbAVXE9KPSo9mkpYOlYY7U8VV0OC10eBpajYy4eCW81lLDzXSWdI+kTYagC3BF1NKPR/LwB/Bu4RNLngJpHexfgQgDb71faaMZY4MqYs9q9Mhz4cXhBl25wD3U2R3fbft32v4EngDVbtA/wLvCHuH6M6e+Z62y/H+t5O+C6GOdfUh7iQPHgD4n79Jt03Kc7Ar8JPW8FXg15s3lIkiRJkiSZZ0ljtXsYwvReuGsoP75vk7REyL4OvARsTjGKqkbQIIpheSTFE9Yptv8GvAfsRtnHWWUg8NXwIJ1BMYhqVD2waiJ/H2h3r13VOFy4Lq1RWwJ+WNl3ua7tXwOoHFJ1A3Cl7RsrZV+StHLkWZnioYbifax6wFajeL+6jMrhP6cAe8d+1RrDqTMAbd9D6es2DfrXsilg/0r/17A9wfZVwN4Ub+AQSbvMTD+Y0VhXA1k17fiKLmvZviPS/jWtQvtpYEuKsfRDSadFUqN9q1X6Ujz7HcoVA3JryjzvSwPvYIWpTP/vU3V97QWcH3o9Jml+22cDXwIWAR6qhdvW9bcZM7P+37NdG9v6MrXxmw94rTLGfWJfNsDPgV/Effrluv7NMGedzEOSJEmSJMk8Sxqr3cMMIaO2f0oxJG8K79xSwOTwXh4KVA+vGUgJw8V2qxDIGqcBJ9l+v06+BOVwoAUoBvDs5CVJG0qajxLe2YohwH+FxwlJq0paUZKAXwMTbP+4rswtwOFxfThwc0V+kMrJvWtRvIKPdLUDkvpSPF572/57XXKjUGCAs+gI24QSBnpI1Lc+xVv6FPAmZT5qDAGOj/7W2kbS2sBzEW56C7BZm+o/QDlkimj//mqi7deA1yXtUMlT1eUrsU6QtH6EJE9HRAy8bfs3wLmUMF0o3vHNa32pK/NJyn7VX9XJFweWsn0bZb33iaS7ga9Enl6SlqQ82Fkx9nAuRAknJ9ba6rEv9lvA0sDiktaxPc72OcAI6kKQaT5H7VI/ly2J6IDnJR0Y7UrS5pG8FPDXuD68Uqyq56eBZeK62TwkSZIkSZLMs6Sx2g3YngCsr7rTU22fRNlXOQi4CDhc0kOU8MOq9+oliheq7VODbT9g+3cNkr5LCeu8E3iyaz1pi/np8ESdTAmFvAdoeaBReO6uAh6M8MfrKQbA9hQDfhd1HJJTO0X3bGA3Sc9QPMlnR12PU8Khn6B46I6rGe6SfiRpErCopEmKg3maMIByINZ10e4tlbRhwE4N+nEb8HJFdAHQK/p0LXBEeGiHAhtFvf2B71PCwceqHPzz/SjfHxgfoaIbAFd0om+VE4AjJY2ljN/XGuQ5Ejhf5YClanjxJZSxGxm6/JLGHsVNgUdCt1OIfabhVRxNh9FUO0jqaeA7FA/yhLq6lgD+EPreS4k2IPTeOcbvMcqe1vcoB1Q9TFljtbXcC/hN5B0F/CSM8hPj4KEx0c9ph44FzeaoXS4GblflgKU2OQQ4KvR6nHIwGMDplDX3R+CVSv4zgB0ljaSEWf8l5A3nIUmSJEmSZF5GHZFsyawg6SJgkO3hM1F2UUp43xY9eS9aeLieBTbpyXp2J5JuB4623ezQo48skg4C1rF91pzWJZmeNddayt85c5vWGZMkSZKPPF8+dMicViH5iCPpMdv9GqalsTpnif2SlwI/jtDhHomkfhQP8RW2fzin9UmSpDn9+vXziBEj5rQaSZIkSZIkLenMWM2X1s9hbN9Fx+spAJC0B3BOXdbnbbezL7RbkHQTsFad+ETbc+XjN0mnUE5QrnJdegWTJEmSJEmSpGeSntUkSZJ5jPSsJkmSJEkyt5Ce1SRJko8QL776DKf/do85rUaSJEnSDZz++bkyqC1JuoU8DThJkiRJkiRJkiTpcaSxmiRJkiRJkiRJkvQ40lhNkiRJkiRJkiRJehxprPZAJI2UtEDl+0BJB7Qos4Gk0ZJGSVpH0gmSJki6skn+IyS9HPmfkTRE0nbd3Zcmbe8t6eRO0ntLGt+F+gZKel7SGElPS7pC0qozqdtukh6TNC7+7lJJ2zLkz0o6T5JCvpCka0P+sKTelTKHx/g+I+nwkF0i6eOVPEdI+kDSZhXZ+Go9TXT9zsz0sUE9p0v6a6yf0ZLO7iRv07mRNCxecTQruuwg6cIG8v0kWdIGjXSRtJOkP7RR/yzr+GHRXfObJEmSJEkyt5LGas/kAWD7LpbZF7jZdl/bfwL+H/AZ24d0UubayL8ecDZwo6QNZ0rjLmD7FttNDaKZ5Ju2Nwc+BowChkpacCbqeQX4rO1NgcMp75atcSFwDLBefPYM+VHAq7bXBX5CvHZI0rLA94CPA1sD35O0DDAY+HRdu5OAU7qoa3caMz+x3Sc+TR8kdCeSejUQPwhs20B+MHA/cNBsVapnkcZqkiRJkiQfadJY7ZncTochNB3h3bs3vH5DJK0s6TPAicCXJA2VdBGwNnCLpK+306DtocDFFGMMSUdLejS8lTdIWjTkB4bXb4yk+0K2sKTLwus4StLOIX9Y0sYV3YeF/kdI+kXIVpJ0U9Q3puLd7SXpV5Iel3SHpEXa7Idt/wT4G2EQStpd0oPhsb5O0uIh30rSA9HuI5KWsD3K9otR3ePAwuE5XRlY0vaDLu97uoLygABgH+DyuL4e+FR4XfcA7rT9T9uvAndS5vVOYNc61f8AbCzpY/V9knRwjO14STVD+GxgkfCEXhmyL0Y/Rkv6paRe8RkYZce1ux5UGFAp179BnkUkXSNprKRrgUUqac3GfKKk0yTdDxyoEgHwRNRxje33gWfqPKiLUx7eHEUXjdUWOs4wriHfM/QeI+nukJ0u6RuVPONVPLu9JT2p4i0fL+lKSbtKGq7iTd868i8m6dK4p0ZJ2ifkR0i6UdLgyP+jkE83v1H+1tBpfKP5SJIkSZIkmddIY7VnMhTYuV6oEhr8c+AA21sClwJn2b4NuIjiHdvZ9rHAi8DOYbi1y0igZiTcaHur8FZOoBgKAKcBe4R875AdBxDeyIOByyUtDFwDfD50XxlYxfZjdW2eB9wb9W1BMRCheC7Pt70x8Bqwfxf6Ma0vkpYHTgV2tb0FMAL4bxWv67XA16LtXYF36urYHxhlewqwKsX7WWNSyIi/L8QYTAVeB5aryqtlbL8OTJW0XCXtA+BH1HnTJK1C8dTuAvQBtpK0b3g/3wlP6CEqHvH+wPa2+wDvA4dEmVVtbxLzc1mT8fq6OsKA9wA+F2VrYzMg5rDKV4C3bW8GnAVsGTo3HPNKuX/b3sH2NcDJQN+o49hIr/c87wsMtv008E9JWzTpQyOa6dhwXCWtAPwK2D/WxYFttLEu8DNgM8r98wVgB+AbdMznKcA9trei3NsDJC0WaX0oc7cp0F/S6vXzS3nI8aLtzW1vEmM0HZKOkTRC0oi333i3/RFKkiRJkiTpoaSx2gOx/TbwWvygrvIxYBPgTkmjKQbBat3YtCrXm0j6o6RxFKOn5iEdDgyUdDRQC+PcgQiXtf0k8GdgfeC3dPzY/zxwXYM2d6GE12L7/TDkAJ63PTquHwN6z2RftgE2AobHmB0OrEkZy8m2H4223whDsxQuHuFzgC/X1VfFLdI6K3MHsHtd2lXANpLWqsi2AobZfjn0uxLYsUG9n6IYYo9GPz9F8a4/B6wt6eeS9gTeaFAWpg8DHkKZ06tjTl4C7g1dquwI/AbA9lhgbMibjXmNayvXY4ErJX0RqI3/YIpXusbBlAcfxN+Dm/ShEc10bDau2wD32X4+yvyzjTaetz3O9geUhy13h/d9HB3rdnfg5BiPYcDCwBqRdrft123/G3iC6ceqxjhgV0nnSPpE5T6Zhu2Lbfez3W/RJWcmAj5JkiRJkqRnMf+cViBpyhCKN+XSikzA47Yb7enrDvpSvKgAA4F9bY+RdASwE4DtY1UOB9oLGC2pD42NMmz/VdI/VA4O6k+H4dcOUyrX71MJ32yTvsDdodudtqczcEInNyooaTXgJuCw2P8LxStafTCwGsV7XUtbHZgkaX5gKeCfId+prsywuB5MCd2+upZoe6qk/wNOqqrTsqcd+S63/e0G/dmcYvwdR3lo8F9t1tcOjcaw4ZhX+Fflei+Kkbg38F1JG8e6WVYl9HwRygONTSSZ8oDEkr7Vpn6d6dgINck/lekf7i1cua6u1Q8q3z+g499YUby1T03XWLmX6tf6DP8u235a0pbAZ4AfSrrD9plN+pAkSZIkSTJPkJ7VnkujfatPAStI2hZKWLAqe0JnBUmfpOxX/VWIlgAmR+jxIZV869h+2PZplMOIVgfuq+WRtD7FY1T7UX4N8C1gKdvjGjR9NyVUE5X9lUvOYj8k6QRgZYpB+BCwvaR1I33R0PFJYBVJW4V8CUnzS1oauBX4tu3htXptTwbelLSNJAGHATdH8i0U7yHAAZRwT1MeOOwuaRmVg5V2DxmUQ6A2j7qqDKSE3a4Q3x8GPilpeZUDiQ6meDkB3lPHqdF3AwdIWjH6s6ykNSMkdz7bNwDfpYRat8N9lJDUXhEauyPwSIM8tXnfhBIGC83HfDokzQesHvulvwUsDSweyUMphv4BwBW217Td2/bqwPMUz2+7/WikY7NxfTDka0WZZSP/RGLsIgy56v1uhyHA8bX5ltS3jTLT5jeiLN62/RvgXNqfxyRJkiRJkrmW9Kz2UGxPkLR+/JCeH5hi+12VV9icJ2mpkP+Ujn2eXaW/pB2ARSkGwP62a57V71J+0P+ZEoK4RMgHSFqP4im6GxhDMfwuipDhqcARsc8TyoFDPwO+30SHrwEXSzqK4lX6CjB5JvoyQNJ3oy8PUfbrvgu8HJ7hqyUtFHlPDU9Vf+DnKoc3vUMxEr9K2YP43agPYHfbfw/dBlK8fbfHB+DXwCBJz1I8qgdBCSGV9H3g0ch3Zi2s1LYjJHQ6oyPm+DzKmGF7sqRvU4w3AbfZrhnJFwNjJY2MfaunAneEEfgexZP6DnBZyABm8Lw24SbKqbxjKJ7Gb9n+m6Z/nc6FUfdYYDRhzNpuOObA03Vt9AJ+E2tZlFDk1yJtMGXf7KaUk6qr3EDZF3oOrWmmY9NxlXQM5WTs+YC/A7tFm4fFnD3aoC+t+D7lXh0bButE4D9blJk2v5QDvQZI+oAyt1/pYvtJkiRJkiRzHSoOoKQnonKq7yDKIUSH2Z5ZozTpgUg6CFjH9llzWpeeRngUH44DmpIusso6S/mYH24zp9VIkiRJuoHTPz+kdaYkmYuR9Jjtfg3T0ljtuUTo313AUNvHzWl9kiSZO+jXr59HjBgxp9VIkiRJkiRpSWfGaoYB92Bc3ve50azUIelISqhtleFzo/Er6XzK+zar/Mx2s9exJEmSJEmSJEkyl5LG6jxOGHLzhDE3NxrYSZIkSZIkSZLMHGmsJkmSzGM889qf+PTN+89pNZIkST7S3L7PDXNahSSZ68lX1yRJkiRJkiRJkiQ9jjRWkyRJkiRJkiRJkh5HGqtJkiRJkiRJkiRJjyON1WS2ImlkvDOz9n2gpAPiellJo+LE4u5oaydJlnRURdY3ZN/ojjba0GGYpIZHb89CnatLGippgqTHJX2tkraspDslPRN/l6mkfVvSs5KekrRHRX6WpBckvdVG28dKGidptKT7JW0kaSFJI+ryDavKJPWTNKxF3X0kfabNYWil58SKnqMlbddJ3tMbrQdJvSWN7wZdLpH08cr3lST9QdIYSU9Ium0W6j4iXmmVJEmSJEkyz5PGajK7eYAZXzeDpKWAIcDF3fzqmXFA/8r3g4Ax3Vj/nGAq8D+2NwS2AY6TVHul0cnA3bbXA+6O70T6QcDGwJ7ABZJ6RZnfA1u32fZVtje13Qf4EfBj21OAyZJ61+VdUdKnu9CvPkC3GKvBzrb7xOeBbqy3IZXxrGcwUB2HM4E7bW9ueyNijmaSI4A0VpMkSZIk+UiQxmoyu7mdYixVWTzkV9m+EKZ5tf4YntiRNc+YpEGS9qkVlHSlpL07ae8vwMLhzVK0fXul/NGSHg0v1w2SFg35QEnnSXpA0nMV7+9O4TW8XtKT0b7a6XjVcynpAEkDO2sr0r4Z+o2VdAaA7cm2R8b1m8AEYNUosg9weVxfDuxbkV9je4rt54FnCQPV9kO2J7fTB9tvVL4uBjiuBzPjvA4ATm0wDgtLuiw8n6Mk7SxpQYoR1z88of0lLSbp0uj/qNq8S9pY0iORb6yk9drRXdKaku6OMndLWqNBni1jLTwIHFeR95I0oDIXXw75Tipe7quAcaHzrVHHeEn9gTuBXSvNrAxMqozp2Eo7M8x33AsTJP1KxZN+h6RFYp30A66MsViknXFIkiRJkiSZW0ljNZndDAV2rpP9GLjf9k8qsr8Du9neguIZPS/klwBHwjRv7HZAqzDK64EDI+9IYEol7UbbW9nenGL0HVVJWxnYAfhP4OyKvC9wIrARsDYNPMUzwQxtSdodWI9iVPYBtpS0Y7VQeDP7Ag+HaKWa4Rl/Vwz5qsALlaKT6DBwu4Sk4yT9ieJZPSHEjR5CPAhMkVQ/38eFfpsCB1OM6vmA04BrwxN6LXAKcI/trShrZoCkxYBjgZ+Fd7cfFcOvjqFhxNXG5hfAFbY3A66kY01VuQw4wfa2dfKjgNdDl62AoyWtFWlbA6eEl3RP4MXwmm4CDLb9OjBV0nKR/3zg12HknlIL420x3+sB59veGHgN2N/29cAI4JAYs3eqCks6RtIISSPefaO65JMkSZIkSeZO0lhNZiu23wZeq9tndw+wj6QVK7IFgF9JGgdcRzEMsX0vsG7kPRi4wfbUFs3+lmKsHgxcXZe2SXhwxwGHUMJka/zO9ge2nwBWqsgfsT3J9gfAaKB3q363QaO2do/PKIqRvQHFaAFA0uLADcCJdR7PRjTy/rqBrCW2z7e9DnAS4Tm1/RywenhIq/yAGb2rOwCDotyTwJ+B9Rs0tTtwsqTRwDBgYWANihH8HUknAWvWG2kVamHAtf2i2wJXxfWg0GMa8fBj6VhjtTxVXQ4LXR4GlqNjLh4JbzWUsPNdJZ0j6RNhqALcEXVgewjlIcevKHM6StIKdD7fz9seHdeP0caas32x7X62+y245EKtsidJkiRJkvR40lhNPgyGML0X7hrgQuA2SUuE7OvAS8DmFO9Z1QgaRDEsj6R4wjrF9t+A94DdKPs4qwwEvhpevjMoBlGNqjtKTeTvA/O30qGmSuV64bq0Rm0J+GFl3+W6tn8NoHJI1Q3AlbZvrJR9SdLKkWdliocaivdx9Uq+1YAX29S7GdfQEWYMMJw6A9D2PZS+blMRtxU2Hfn2r/R/DdsTbF8F7A28AwyRtMtM6l9vrKuBrJp2fEWXtWzfEWn/mlah/TSwJcVo/aGk0yJpun2rtv9p+yrbhwKPAjvSyXwz82suSZIkSZJkniGN1eTDYIaQUds/pRiSN4V3bilgcngvDwWqh9cMpIThYvvxNts8DTjJ9vt18iUohwMtQDGAZycvSdpQ0nzAfm3kHwL8V3hQkbSqpBVjj+yvgQm2f1xX5hbg8Lg+HLi5Ij9I5eTetSgeu0e62oG6/aF7Ac9UvjcKBQY4C/hW5ft9xFhLWp/iLX0KeJMyHzWGAMfX9gRL6ht/1waes31e9GuzNtV/gHLIFNH+/dVE268Br0vaoZKnqstXYp0gaf0ISZ6OiBh42/ZvgHOBLSJpFLC5CruoY2/0EsA6lL3VDee7RZ/qxyxJkiRJkmSeJZ/WJ7Md2xPix36vOvlJki6jeE5PA66TdCBln2vVe/WSpAnA77rQZrPTYL9LCev8M8Ub1t0//Oenwyt2MvAHyt7R8ZSDpZpi+w5JGwIPhr32FvBFSsjsoZQDfUZH9u/Yvo2y3/W3Kq/r+Qsl/Bnbj0v6LfAE5TTh42qGu6QfAV8AFpU0CbjE9ulN1PqqpF0pnupX6TCMoYTqntGgH7dJerkiugC4KEKvpwJH2J4iaSgdYb8/BL4P/BQYGwbrRMqe3v7AFyW9B/yNcjBTO5wAXCrpm8DLxN7nOo6MPG9TjMcal1BCb0eGLi8zvVe5xqaUvbUfUMboKzEGjn5tQfG8/kLSVMoDwktsPwrQZL7rH7BUGUgZy3eAbTsJiU6SJEmSJJnrkT1T29iSpEtIuggYZHv4TJRdlGJYblHZE9jjkLQQ5dTdTXqynt2JpNuBo203O/ToI4ukg4B1bJ/1Ybe91LrLeLv/m9lo6SRJkqQ7uH2fG+a0CkkyVyDpMdv9GqWlZzX5ULB97MyUC6/epZT3e/ZYA1BSP4qH+IKerGd3Y7sr71X9SGH7mjnV9npLr5M/kpIkSZIkmetJYzXp0di+i7LHcRqS9gDOqcv6vO129oV2C5JuAtaqE58YJ7/OdUg6hQghrnDdnPAKJkmSJEmSJAlkGHCSJMk8R79+/TxixIg5rUaSJEmSJElLOgsDztOAkyRJkiRJkiRJkh5HhgEnSZLMYzzz2mQ+c9MP5rQaSZIkcy237XfqnFYhSRLSs5okSZIkSZIkSZL0QNJYTZIkSZIkSZIkSXocLY1VSYtK+q6kX8X39ST95+xXLUmSJEmSJEmSJPmo0o5n9TJgCrBtfJ8E5GaouRhJIyUtUPk+UNIBcb2spFGSjuymtnaSZElHVWR9Q/aN7mijDR2GxXtQu7PO1SUNlTRB0uOSvlZJW1bSnZKeib/LVNK+LelZSU/FK3hq8rMkvSDprS7ocECMYz9JC0kaUZc+rCqLfMNa1NlH0mfa1aFFXRMljZM0Oj7bdZL39EbrQVJvSeO7QZdLJH288v0ISafPar11bZwoadHurLNS9wPxt1vGI0mSJEmSZG6gHWN1Hds/At4DsP0OoNmqVTK7eQDYvl4oaSlgCHCx7cu6sb1xQP/K94OAMd1Y/5xgKvA/tjcEtgGOk7RRpJ0M3G17PeDu+E6kHwRsDOwJXCCpV5T5PbB1u41LWgI4AXgYwPYUYLKk3nVZV5T06S70qw/QLcZqsLPtPvF5oBvrbUhlPOsZDHRlHGaGE4HZYqzabmroJ0mSJEmSzKu0Y6y+K2kRwACS1qF4WpO5l9spxlKVxUN+le0LYZoX54/hiR1Z84xJGiRpn1pBSVdK2ruT9v4CLCxpJUmKtm+vlD9a0qOSxki6oeadCo/veZIekPRcxfu7U3gNr5f0ZLTf1gOUqucyPJMDO2sr0r4Z+o2VdAaA7cm2R8b1m8AEYNUosg9weVxfDuxbkV9je4rt54FnCQPV9kO2J7fTh+D7wI+Af1dkg5lxXgcAMxxpKGlhSZeF53OUpJ0lLQicCfQPT2h/SYtJujT6P6o275I2lvRI5Bsrab12lJa0pqS7o8zdktZokGfLWAsPAsdV5L0kDajMxZdDvpOKl/sqYFzofGvUMV5Sf+BOYNdKM+8Ab0X5AyPfGEn3tdHWDGtP0gnAKsBQSUMb9GmipP+V9KCkEZK2kDRE0p8kHRt5Fo8xGRnzUr3HWnrcJR0TdY94941/tZ6MJEmSJEmSHk47xur3KD+CV5d0JcVT9K3ZqlUyuxkK7Fwn+zFwv+2fVGR/B3azvQXFM3peyC8BjoRp3tjtgNtatHk9cGDkHcn0DzxutL2V7c0pRt9RlbSVgR2A/wTOrsj7UjxZGwFr08BTPBPM0Jak3YH1KEZlH2BLSTtWC6l4M/sSXk5gpZrhGX9XDPmqwAuVopPoMHDbRlJfYHXbf6hLavQQ4kFgiqT6+T4u9NsUOJhiVM8HnAZcG57Qa4FTgHtsb0VZMwMkLQYcC/zMdh+gX/SlEUPDoK2NzS+AK2xvBlxJx5qqchlwgu1t6+RHAa+HLlsBR0taK9K2Bk6xvVGMwYu2N7e9CTDY9uvAVEnLRb+vtX1ulD0N2CPW395ttDXD2rN9HvAixZNcP9Y1Xog+/REYCBxA8cqfGen/BvaL+21n4P/afQgTfbrYdj/b/RZccrF2iyVJkiRJkvRYWhqrtu8EPgccAVwN9LM9bPaqlcxObL8NvCZplYr4HmAfSStWZAsAv5I0DriO8uMc2/cC60beg4EbbE9t0exvKcbqwZR1VGUTFQ/uOOAQSphsjd/Z/sD2E8BKFfkjtifZ/gAYDfRu1e82aNTW7vEZRTGyN6AYr0DxhgE3ACfafqNF/Y0MD3dFQUnzAT8B/meGiuznKA+VFqxL+gEzeld3AAZFuSeBPwPrN2hyd+BkSaOBYcDCwBoUI/g7kk4C1oztAY2ohQHX9otuC1wV14NCj2r/lgKWjjVWy1PV5bDQ5WFgOTrm4pHwVkMJO99V0jmSPhGGKsAdUUc9w4GBko4GamHErdqambV3S0W/h22/aftl4N+Slqasj/+VNBa4i/IgY6WGNSVJkiRJknwEaPfVNatSfsQtCOwo6XOzT6XkQ2II03vhrgEuBG5T2Q8J8HXgJWBzivesagQNohiWR1I8YZ1i+2+Ufc+7UbzzVQYCXw0v3xkUg6hG1QOrJvL3gflb6VBTpXK9cF1ao7YE/LCy73Jd278GUDmk6gbgSts3Vsq+JGnlyLMyxUMNxfu4eiXfahRvXFdYAtgEGCZpIsUzd4s6DpAaTp0BaPue6Os2DfrXCgH7V/q/hu0Jtq+ieCHfAYZI2qWL/ZimXoP2mhnwAo6v6LKW7TsibVrcq+2ngS0pRuEPJZ0WSQ33rdo+lmLMrw6MDu9rZ23N7Nqrlfugro4Poo5DgBWALcNj/RIzrtEkSZIkSZKPDO28uuZS4FJgf+Cz8clX18z9zBAyavunFEPypvDOLQVMDg/SoXR4naAYmCdGucfbbPM04CTb79fJl6AcDrQA5Qf77OQlSRuGh3K/NvIPAf4rPKhIWlXSihGe+Wtggu0f15W5BTg8rg8Hbq7ID1I5uXctiqfuka4ob/t128vb7m27N/AQsLft2qm/jUKBAc5i+vD9+4ixlrQ+xVv6FPAmZT6q/T++Fo4aIchIWht4LsJfbwE2a7MLD1AOmSLav7+uf68Br0vaoZKnqstXYp0gaf0ISZ6OiBh42/ZvgHOBLSJpFLB5fWitpHVsP2z7NOAVitHaVlt11I9dV1kK+Lvt9yJse81ZqCtJkiRJkmSupx2PwDaxDyyZh7A9IX6A96qTnyTpMorn9DTgOkkHUva5Vr1XL0maAPyuC202Ow32u5RQyz9TvGGz8oO/EfPT4ck6GfgDZe/oeMrBUk2xfYekDYEHw8Z5C/giJWT2UMqBPqMj+3ds30bZ7/pbldf1/IUS/oztxyX9FniCcprwcTXDXdKPgC8Ai0qaBFxi+/SZ6Oswine6vh+3SXq5IroAuChCr6cCR9ieEocD1cJ+f0g5yOmnwNgw8iZSHlb1B74o6T3gb3Tsu2zFCcClkr4JvEzsfa7jyMjzNsVorHEJJeR2ZOjyMh2HV1XZlLK39gOKN/8rMQaOfm0BPFbJP0DlgChRHtaMAca22VaVi4HbJU3uZN9qZ1wJ/F7ldUOjgSdnoo4kSZIkSZJ5Btmdb5mT9Gvg/2IfXzIPIekiYJDt4TNRdlGKYblFZU9gj0PSQpRTdzfpyXp2J5JuB4623ezQo48skg6ivI7rrDmty+xkqXVX9fYDvjKn1UiSJJlruW2/GQ7ST5JkNiHpMdv9Gqa1YazuSHkH5N8o3ilRnBTthv0l8xiSdqWEhv84Qod7JLGPcxDl9Nkfzml9kuTDol+/fh4xYkTrjEmSJEmSJHOYzozVdsKALyXCHSkHgSQfcWzfRdnjOA1JewDn1GV93nY7+0K7BUk3AWvViU+0PaRR/p6OpFOIEOIK183rXsEkSZIkSZIkgfY8q/fYntmTPpMkSZIPmfSsJkmSJEkytzCrntUnJV1FCQWe9rqFuld1JEmSJD2EZ157mb1uvHBOq5EkSTLHuPVzuW8/SeYF2jFWF6EYqbtXZAbSWE2SJEmSJEmSJElmCy2NVduNXi2RJEmSJEmSJEmSJLONlsaqpIWBo4CNgYVrctv/NRv1SpIkSZIkSZIkST7CzNdGnkHAfwB7APcCqwFvzk6lPupIGilpgcr3gZLelrRERfYzSZa0fBfrntiqjKTlJI2Oz98k/bXyfcEutDVQ0gFd0a+NOk+v6POMpBslbdSN9feR9KCkxyWNldS/kraWpIej3WtrY6HCeZKejTJbVMrsKempSDs5ZKfW1btTzOVnK7I/SNqpha4nxvtuZ7XPR0h6uTLHV7TI/1YT+SzPt6TV4j2x9fK+MUZ7NNJFUm9J49uov9vX5Oyiu+Y3SZIkSZJkbqUdY3Vd298F/mX7cmAvYNPZq9ZHngeA7etkzwL7AEiaD9gZ+GtXKpXUq518tv9hu4/tPsBFwE9q322/25U2Z4d+FX3WA64F7pG0Qjep8TZwmO2NgT2Bn0paOtLOibbXA16lRBwAfBpYLz7HABfCtP6cH+kbAQeHYT04ZFUmAad0UdcTge4yZq6tzPFh3VRnp0iaIbLD9iRgeUmL1CUdDNwffz8qnEj3zW+SJEmSJMlcRzvG6nvx9zVJmwBLAb1nm0YJwO0UQ6nK1UDNG7cTMByYWkuU9DtJj4VH8JiK/C1JZ0p6GNi2Il9E0mBJR7erlKSjJT0qaYykGyQtKmkJSc/XPMGSlgzv7QJ1ZT8laZSkcZIulbRQyCdKOk3S/cz4TtGW2L4WuAP4QtS3paR7YyyGSFo55OtKuit0HylpnSb1PW37mbh+Efg7sIIkAbsA10fWy4F943of4AoXHgKWjna3Bp61/VwY+ddE3seAvlFnjTHA65J2q9ep0dhJOgFYBRgqaWjk2z28wiMlXSdp8ZCfLemJ8Pqe2+7YSvpvSePjc2KDdEn6RdR9K7BiJa3ZPAyT9L+S7gW+JunAqH+MpPui+DDgk9V2gAOAI4DdVbYmtNuHznRstia3kvRA6PRIrPEjJP2iUnaa5zvusXOir3dJ2jr6+ZykvSNPL0kD4v4ZK+nLId8p8l4v6UlJV4bO081vlB8YYzVO0tfbHYMkSZIkSZK5lXaM1YslLQN8F7gFeAL40WzVKhlK8ZxWeYZiNC1D8S5dU5f+X7a3BPoBJ0haLuSLAeNtf9z2/SFbnPIqoqts/6oLet1oeyvbmwMTgKNsv0kxLvaKPAcBN9iuPeSo7XseCPS3vSllr3T1TPl/297Bdn2f2mUksEEYyD8HDoixuBQ4K/JcCZwfum8HTG5VqaStgQWBPwHLAa/Zrj0gmASsGterAi9UitbSGspdXm48FuhT1+QPgFPrdGg4drbPA14Edra9s0po96nArra3AEYA/y1pWWA/YGPbm0UbjeivjjDgIyVtCRwJfBzYBjhaUt+6MvsBH6NEWhxNGVdazAPA0rY/afv/gNOAPWJe9o70es/z9sDztv9EWWufadKHRjTTseG4qoR2Xwt8LXTaFXinRRuLAcOir29Sxni3aPvMyHMU8LrtrYCtKOO5VqT1pXhRNwLWBravn1/KWlnV9iah72X1Skg6RtIISSPefb1hpHaSJEmSJMlcRUtj1fYltl+1fa/ttW2vaPuiD0O5jyq236Z4slepS7qRYgx+HPhjXdoJksYADwGrU0JSAd4HbqjLezNwme1O9yY2YBNJf5Q0DjiEcugWwCUUw4b4W/9D+mMUY+Pp+H45sGMl/dou6lFPzUP5MWAT4E5JoynG22oqe31XtX0TgO1/xxg3r7B4AgcBR9r+oNJGFde1X5/WWZkZvOe2/xhtf6IibjV2NbahGDvDo++HA2sCbwD/Bi6R9DlKmHMjqmHAlwE7ADfZ/pfttyhr7xN1ZXYErrb9fnih76noPMM8VNuqXA8HBqp4+Gth4H+M9mtUH85cQ9dCgTvTsdG4fgyYbPtRANtvVB5QNONdioENMA64Nx7WjKMjCmV34LAYj4cpDz9q9+gjtifFOhtN48iV54C1Jf1c0p6UeZ0O2xfb7me734JLLd5C5SRJkiRJkp5PO6cBLwTsT/kBNS2/7TOblUm6hSEUY+bSiuwaihfxctsfKKJIIxxxV2Bb229LGkbHyc3/tv1+Xd3DgU9Luiq8fO0yENjX9hhJR1DCkbE9XOWAm08CvWzXH3TTyGir8q8u6NCIvhRPooDHbW9bTZS0ZFcqi/y3AqdGWC/AK5Tw3vnDeFmN4vmC4jFdvVJFLW3BJnIoocvXAT+sa/4syt7VmoHUauymqQ3caXsGQy48xJ+iPOj4KiWcuZ362qHR+mk4DxWmzbftYyV9nOKZHy2pj+1/SJokaW3gz5R/f/aWdErUvZykJcKrPys6NkJN8k9l+od71VDk9yr30QeU91IT92jt30wBx9seMl1j5d6dUhG9T4N/l22/KmlzykF3xwGfB/JE9iRJkiRJ5mnaCQO+mbLPbirlR2btk8xeGnne/kIxZC6oy7sU8GoYqhtQvGydcRrwjwb1tGIJYHKEeR5Sl3YFZV/tDOGJwJNAb0nrxvdDKSdLzzKS9qd4ra4GnqKESm8baQtI2tj2G8AkSfuGfCE1OWU1wkBvouxBva4mD2NkKGXvJBTP5c1xfQvFayZJ21DCPScDjwLrqZwivCDFWLwl6nsFWEDSUtX2bd8BLANsHqLOxu5NypxA8ahvX8unsp94fZV9q0vZvo0Satqn0wHt4D5g36hnMUpIa703/z7goNhPuTIdoesN56FRI5LWsf2w7dMoDwRqxv1gyvrfFRhje3XbvW2vSYkU2LcL/WikY7NxfRJYRdJWod8SYXBOBPpImk/S6pT9yF1hCCXMuLa3e/0Y186YNr8R5j2f7RsoWzK26KxgkiRJkiTJvEBLzyqwmu36w36S2YztCfGDtled/JcNsg8GjpU0lmIoPNQgTz0nApdK+pHtb7Wp1ncpIYx/poQ4LlFJu5KyV+/q+kK2/y3pSOC6+OH/KOWU4Znl65K+SOzHBXax/TKAymtJzgsjcH7gp8DjFGPkl5LOpBwadiAltLKez1PCQZcL7zHAEbZHAycB10j6ATAK+HWk30bZR/ksJcz2yOj3VElfpRgqvYBLbT9eaetuijH2jzodziIM4RZjdzFwu6TJsW/1CODqiIaAEn77JnBz7NEU0NbBPLZHShoIPBKiS2yPqst2E8VLOw54mjCibb/byTzUM0DSeqHb3ZSDpqA8rDkP+Ge0U+UGyp7nQW10pZmODcc1dO8P/FzlROJ3KHM0HHg+6hlPiXDoCpdQolNGqoREvExrg3va/FLu18tUTgIH+HYX20+SJEmSJJnrUKsoUEkXAz+3Pe7DUSmpIekiYJDt4XNal1aEcbKP7UPntC5zC+GFPcp22ycyf5SQ9Biwne0pLTMn07HUumt6hx+dPKfVSJIkmWPc+rmvtM6UJEmPQNJjtvs1TGvDWH0CWJfiVZhC7OmKk0WTBEk/p5ze+pnKgTVJkswh+vXr5xEjRsxpNZIkSZIkSVrSmbHaThjwp1tnSeZWVF5xc3eDpE/Zrg9PbYjt47tXK4jDdOrfu3qd7bMa5Z+J+jdlxjDSKbY/3h31J0mSJEmSJEkya7T0rCZJkiRzF+lZTZIkSZJkbmFWPatJkiTJXMSzr/6T/7z+yjmtRpIkyYfKHw6of1FBkiRzO+28uiZJkiRJkiRJkiRJPlQ6NVbj3YR3fVjKJEmSJEmSJEmSJAm0MFZtvw+8He9KTJIkSZIkSZIkSZIPhXbCgP8NjJP0a0nn1T6zW7GuIGmkpAXi+ghJV9elLy/pZUkLSXrgQ9TrREmLtsgzUdLycb2lpOcl9e2Gti+RtNFMlDtC0i8ayI+VdFgn5QbGu1a7jKTVJQ2VNEHS45K+VklbVtKdkp6Jv8tU0r4t6VlJT0naoyI/S9ILkt5qo+3/lvSEpLGS7pa0ZqyTEXX5hlVlkvpJGtai7j6SPtPmMLTSc6KkcZJGx2e7TvKeLukbDeS9JY3vBl0ukfTxyvcj4v4aFfM0pKqfpDMl7Tqr7c6EnqtIur6b6pruXm5nbXVTu9P+fUiSJEmSJPmo0Y6xeivwXeA+4LHKpyfxALB9XN8I7FZnJB4A3GJ7iu2mP/JnAycCnRqrNSRtBlwP9Lc9alYbtv0l20/Maj2V+i6yfUV31VfHVOB/bG8IbAMcVzG0Twbutr0e5RU7JwNE+kHAxsCewAWSekWZ3wNbt9n2KKBfvDf4euBHtqcAkyX1rsu7oqSuvMqpD9Atxmqws+0+8ZntD10q41nPYGZ8pdW1tvvGPJ0N3ChpQwDbp9n+0LcT2H7R9kw9QGnAibR5L9eQlAfYJUmSJEmSzAItjVXblwO/BR6yfXntM/tV6xK3UwwWbL9BMaw/W0k/CLgaOjwiknYKb9n1kp6UdKUkRdpWkh6QNEbSI5KWiP27AyQ9Gl64L3dWj6QTgFWAoZKGttB/Q+B3wKG2H4l6Pyvp4fBW3SVppZCfLulySXeE1+Vzkn4UXrfB6vAwD5PUr9bn8DaOkfRQpa4DJY0P+X31SknaS9KDKp7pht66Rmh6b/E0D2TUcWno9lyMEbYn2x4Z128CE4BVo7p9gNp6uxzYtyK/Jh5APA88Sxioth+yPbkdXW0Ptf12fH0IWC2uBxNrqsIA4NQG/V1Y0mUxB6Mk7SxpQeBMoH94QvtLWiz6/2jk2yfKbxzrbHSsrfXa0V3FC3y3OrzCazTIs2XM74PAcRV5Z+t5qKSrKBEVi0m6NeoYL6k/cCfQ1FNqeyhwMXBM1DnN6y7pbHV4ss8N2UqSboo2xkjaTnVeYEnfkHR6XJ9QqeOakH1SHV7nUXHPTquj0RyF/AhJN8a984ykHzUYw4b3cpN7aqCkH0e+cyStE3U/JumPkjaIfM3u7+VU7u1Rkn4J1P5NajQPSZIkSZIk8zQtjVVJnwVGU36810Ibb5nNenWVocDOle9XUwxUJK0CrB956ulL8ZhsBKwNbB9GxrXA12xvTvlR/g5wFPC67a2ArYCjJa3VrB7b5wEvUrxhVd0acTPwVdv3V2T3A9vY7gtcA3yrkrYOsBfFYPsNMNT2pqHnXg3qX4zysGFziiF/dMhPA/YI+d7VApL2o3gxP2P7lRb6d4UNgD0ohuX3FMZ1pd3elPF8OEQr1QzP+LtiyFcFXqgUnUSHgTuzHEV58AGVByAVHgSm1AydCseFfpsCB1OM6vko43tteEKvBU4B7ok1tDMwQNJiwLHAz2z3AfpFXxoxNIyx2tj8ArgivMJXAo3C8y8DTrC9bYO+NlvPWwOn2N4oxuBF25vb3gQYbPt1YKqk5ZroCTCSMtfTkLQssB+wcej8g0g6D7g31uEWwOOd1AtlXfaNOo4N2TeA42IMP0G5F6rMMEeSFo60PkB/YFPKw4XVqwWb3MvN7iko/97savt/KEb78ba3DB0viDzN7u/vAfeH/Bag9gBihnmoHxRJx0gaIWnEu2+80XjkkiRJkiRJ5iLaCQM+nfLj9TUA26OBtZpn//AJz9hrYZgC/AHYQdKSwOeB6+OwqHoesT3J9gcUg7w38DFgsu1Ho+43bE8FdgcOkzSaYkgtB6zXST1d4S7gS5o+7HI1YIikccA3KeGuNW63/R4wDuhFxw/XcU3afpcyJlBCuGt5hgMDJR0d9dTYGTgJ2Mv2q13sSytuDW/oK8DfgZVqCZIWB24ATgwPeWeogcwzq5SkL1IMxQEAtp8DVo+HF1V+wIze1R2AQVHuSeDPFIOlnt2Bk2MNDQMWphgjDwLfkXQSsKbtekOrRi0MuLZfdFvgqrgeFHpU+7QUsLTteyt5qrp0tp6fj+txwK6SzpH0iTBUAe6IOprRaH7eoOyBv0TS54CaR3sX4EIoh7pV2mjGWODKmLOpIRsO/Di8oEvHPVulszm62/brtv8NPAGs2aJ9aH5PAVxn+/1Yz9sB18U4/xJYOfI0u793pDyAwvatQO3+azYP07B9se1+tvstuOSSbXQhSZIkSZKkZ9OOsTq1wQ+jmTYKZiND6AgFfodiwO1HJQS4AVMq1+8D81N+ZDfqnygektqewbVs39FJPV3hq/H3gors58AvwhP0ZYphM53eYRy/Z7um7wdN2q7mmaaf7WMphtfqwOiKp+w5YAkaG1ztMJWOtbVwXVrDsQoP6w3AlbZvrOR5SdLKkWdlioELxftY9YCtRvF+dRmVw39OAfaO/ao1hlNnANq+J/q0TbWKdpsC9q+soTVsT7B9FcWz/Q7FgNllZvrBjOu22VqupTVbz/+aVqH9NLAlxVj6oaTTIqnRvtUqfSnh3B3KFQNya8o870sD72CF6hqC6dfRXsD5oddjkua3fTbwJWAR4KFauG1df5sxM/dvw3sqqI3ffMBrlTHu47IvGzq/v2eYs07mIUmSJEmSZJ6lHWN1vKQvAL0krSfp55QDjXoa9WGbVwP/TfHcPdSFep4EVpG0FUDsfZufYgx/RR17QtePEM7OeJNi9LXiA0po4scknRmypYC/xvXhXdC/bSStY/th26cBr9Bh/P0Z+BxwhaSNm1bQnImUH9YA+7ehh4BfAxNs/7gu+RY6+n84JWS6Jj9I5eTetShewUe6qqjKycu/pBiqf69LbhQKDHAW04dl3wccEvWtT/GWPsWM8z8EOD76W2sbSWsDz0W46S3AZm2q/wAR7h7tV8PIsf0a8LqkHSp5qrq0XM8RrfC27d8A51LCdKEcTLV5rS91ZT5J2a/6qzr54sBStm+jhM33iaS7ga9Enl4REfES5UCr5SQtBPxnpM8HrB77Yr8FLA0sHmt5nO1zgBHUhSDTfI7apd17eRoRHfC8pAOjXUnaPJKb3d9VPT8NLBPXzeYhSZIkSZJknqUdY/V4SojaFIoB+Ablh2aPwvYEYP1KKO0dlENRrq14QNqp513K/rWfSxpDOUxmYeASSojgSJVDW35Jaw/MxcDtan3AEuHR2wfYW9JxlPDr6yT9kWJIzg4GqBw4M57yI3lMRZ+nKD+ar5O0Tht1zU+Hh+oM4Gehe6Pw63q2Bw4FdlHHITm1U3TPppzu/AywW3zH9uOUg7+eoHjojquFeqscODUJWFTSJMXBPE0YACwe/Rxdtx97GLBTfYEwtl6uiC6gPMwZR9nvfETM51Bgo6i3P/B9YAFgbIz596N8f8pDodEUI6vdU5dPAI6UNJYyfl9rkOdI4HyVA5aq4cXtrudNgUdCt1OIfaZxT42mw2iqHST1NPAdigd5Ql1dSwB/CH3vBb4e8q8BO8f4PUbZ0/oe5YCqhynhtk9G3l7AbyLvKOAnYZSfqDgsLPpZ23tco9kctUvb93IdhwBHhV6PU+5xaH5/nwHsKGkkJcz6LyFvOA9JkiRJkiTzMuqCHdfjkXQRMMj28Dmty0eJ8HY9ChwWRuQ8g6TbgaNtNzv06COLpIOAdWyfNad1SaZn6XXW9g7nfL91xiRJknmIPxxwSOtMSZL0OCQ9Zrtfw7Rmxqqk39PJ3lTbezdLSz46RHjiXZQTiY9rlT9JktlPv379PGLEiDmtRpIkSZIkSUs6M1Y7C2M9N/5+DvgP4oRKyt7Kid2m3UcEldeNLFQnPtT2uDmhz8wi6XxK2G6VAbYvmxP6tIukU4AD68TXpVcwSZIkSZIkSXomLcOAJd1ne8dWsiRJkqRnkJ7VJEmSJEnmFjrzrLZzwNIKcVpprbK1gBW6S7kkSZIkSZIkSZIkqaed9wl+HRgm6bn43pvyXsAkSZKkB/Lsq6+z9/W/n9NqJEkyj3PLAZ+d0yokSTKP09JYtT1Y0np0vLfwyS6+8iFJkiRJkiRJkiRJukRTY1XS55okrSMJ2zfOJp2SJEmSJEmSJEmSjzideVY7i+0wkMZqkiRJkiRJkiRJMltoesCS7SM7+fzXh6lk0hhJIyUtUPk+UNIBLcpsIGm0pFGS1pF0gqQJkq5skv8ISS9H/mckDZG0XXf3pUnbe0s6uZP03pLGd6G+luPTVSQtKulWSU9KelzS2ZW0hSRdK+lZSQ9L6l1JOzzG8xlJh1fkX438lrR8yHaQdGFdu5b0f5Xv35B0egtd95W0UTf0ubekd2Id1T4LdpJ/mKQZTniLtfWLbtCn0X3wV0kLxfflJU1sUUdvSV+YVV2irktajfPsWItJkiRJkiTzGi1PA5a0lKQfSxoRn/+TtNSHoVzSkgeY8Z2nrdgXuNl2X9t/Av4f8Bnbh3RS5trIvx5wNnCjpA1nSuMuYPsW22e3zjnHOdf2BkBfYHtJnw75UcCrttcFfgKcAyBpWeB7wMeBrYHvSVomygwHdgX+XKn/QWDbujanAJ+rGbRtsi8wy8Zq8CfbfSqfd7up3qZIahYJ0ug+eB/oykO13kC3GKu2v2T7ie6oK0mSJEmS5KNMO6+uuRR4E/h8fN4ALpudSiVtczuwZ6MESVtKulfSY+ENXVnSZ4ATgS9JGirpImBt4BZJX2+nQdtDgYuBY6KdoyU9KmmMpBskLRryAyWND/l9IVtY0mWSxoWndueQPyxp44ruw0L/aZ43SStJuinqG1Px7vaS9Kvwat4haZF2+iFpYsVz2U/SsLg+XdKlocNzkk6olPmipEfCk/hLSb1svx1jQhhsI4HVosg+wOVxfT3wKUkC9gDutP1P268CdxLzaHuU7Yl1Y/4+8P/bO+9wu6pqb78/QpUW+kVAAgjSCZBQpIUq6P0oCgIiAlJEEQQvKggioFzBeEWRJiAGMNJBIiUJ0gKBkIR0elUjSJHeAgm/7485ds46O3ufc0ISzsnJeJ9nP2etWcccc65kjzXGnPtJSWtXkqfGPMwwb5JWlXSHpAnx9zOhr92B/iH/GvEZHGvk3lr7jeaugzrdMeZ1YuhwoQZlDpH0hKR7qBiYkpaL9TMqPltF+qmSLpI0FLhc0nqVOZigcvhbo+fgN8Bx9QauCv1jfBMl7RtZZwLbRLvHSeoR5UZFP9+K+itKGhblJknapsEYp3uSJb0t6YzQ5QhJK1SK7hR6f0LSf0f5Zs/ITZK+EdffUoNICElHKF4qfvDmG80nKkmSJEmSZC6hI8bqGrZ/avuZ+JxGMXCSzucuYPv6RJWQyN8Be9velPLC4QzbtwIXAmfb3t72kcDzwPa2z56JfsfQcjr0Dbb72t4IeJTiTQQ4BfhCpO8eaUcB2N4A2B+4TNLCwFWUFyFIWhH4tO2H6vo8B7gn2tsEeDjS1wTOs70e8DrwlZkYRzPWphiUNa/nAiqe5H2BrWz3pnjuWnmjJfWk7PW+I5JWAv4ZY54KvAEsU00PJkdaWwwGdqtLOw84QDNGOpwLXG57Q2AgcI7t+4FBwA/CE/o0xdg9OtbI8cD5Ub/R3NWzhlpCgM+LeRwA7BvzOz/w7WqFmNvTKEbqzrT28v6Wsi77UubwkkrepsAetr8GHAn8NuagD0V3jZ6DfwD3AQfWpX8Z6A1sRPFg9w+5TgDuDd2cTVnHb4Q8fYHDVX5j+mvAkOh/I2BcE/3UWBQYEbocBhxeyesFbAd8CbgwdNjsGTkCOCWM4/8Bjq7vyPZFtvvY7rPgEhn8kiRJkiTJ3E9Hfmf1PUlb274PIDwe781ZsZKOYPtdSa9L+rTt5ytZnwPWB24vjjx6AC/Mxq5VuV5f0s+BnsBiwJBIHw4MkHQNLYdxbU0xorH9mKS/A2sB11C8iz+lGK3XNuhzB+AbUXca8IZK6OyztsdFmYcoBsCsckv8PNMUSS8BKwA7UoymUaHTRYCXahXCg3clxTCs/SaxmBG3kd4Wg4E/UMKJSwX7TUmXA8fQ+pnckmKUAVwB/LK+MUmLAZ8Hro3xANQ8oY3mrp6nw2CrtbcRZS6eiKTLKIbXbyp1Ngfutv1y1LmaMv9QDMd1K7IsIWnxuB5kuza+B4CTJK1MeVHyZLTV6Dn4X4qBfkslbWvgylhDL4aHty8lYqTKLsCGatlXuiTlxcgo4NJ4IfSXytprxgfAzXH9EMVIr3GN7Y8oXvNnKC9JGj4jtidIOoVimO9l+9V2+k2SJEmSJJnr6YixeiQl/K72qv414KA2yiefLEMoIZCXVtIEPGy7fp/j7GJjihcVijdtT9vjJR0M9AOwfaSkzSleo3GSetPYSMP2vyT9R9KGFO/lt2ZClupv/k6jGJEdYSotkQULt9Pm/BTZL7N9YpP2LgKetP2bStpkYBVgchizSwKvRnq/SrmVgbvbEjZ0tLSkT9l+t5L1G4qnu63Q/EaG8HzA61WDs9LXDHNn+z9tyUeTue2gLDV5tqwYpaXRYry+U5Htz5IeDNmGSDrM9p00eA5sPyVpHOG1n0k5RfE6D5khQ9o2+r9CUn/bl7fRzoe2a2OuraXpItaVbfYio8YGwH+AT7cnfJIkSZIkSXegaRiwpM8A2B4fIWwbAhvGQTsTPikBk3ZptF/vcWA5SVtCCQtWZU/orCBpO0pI4sWRtDjwQniaDqiUW8P2g7ZPAV6hGG3DamUkrQV8JmSFEgr8Q2BJ2xMbdH0HEVYa+wmXmMWhPEfxlELHQofvAPaWtHzIsLSkVeP65xRD9Ni6OoNoebGzN3BnGC5DgF0kLRXe4V1o8Ui3xV20NnIJD9s1tIRfQzlwaL+4PoASDgtl7/niUe9N4FlJ+8QYFN7RZnPXHo8BvSR9Nu4PBO6pK/Mg0E/SMrFe9qnkDQW+W7uJlxszIGl14Bnb51D0u2FkNdu/fQYlxLnGMGDfWEPLAdsCI6noJhgCfDvkRNJakhaNOX/J9sUUT/cmjeTsIPtImk/SGpStFY/T5BmRtBklDHxj4PgISU6SJEmSJOnWtLVn9S+1C0nX234zvuAmXQjbjwJrSepB8dpMiYN+9gbOkjSesq9uVn5uZt/Ym/gE8GPgK9EvwE8oRsjtFIOlRv84JGYS5Qv4eMqeyB6SJgJXAwdHuC2UA4j2oxhejfgesH3UfQj4OMb3/LR4TU8DfivpXorHq03idNeTgaGSJlDGu2KEo55E2X85JvR0WFT7A7CMpKeA71P2RdYMzJ9RQkpHAafXwjpVfkpoMsXbOkFSde9mo32rAP8HVE8FPgY4JOQ8kKI7KC8EfqD42SKKUXRorJGHKQdCQeO5a08/7wOHUMKKJwIfUfZHV8u8AJxKCeX9G8UjXJW5j8phRo9QIjoasS8wKTymawOXR9vV56Da58N1/dwITIgx3Qn80Pa/I22qykFIx1H2zD5CmdNJwO8p66cfxds8lvKS47ft6aYNHqcY9LcBR4YOZ3hGouzFwDcjzPl/KKHIHfUSJ0mSJEmSzJWoJUKtLkMaa3vj+uuk66Fyqu8VlEOIvhFf0JMKkuajGIZzrX7Cy/eg7Vnx5nVbas+B7eGdLUtn03ONNb3tWb/ubDGSJOnmDNr7/3W2CEmSdAMkPWS7T6O8tvasusl10vU4neKpumtuNcTmJJI+TTfQj+0PmbWw025NnG6dAJ9dasn8EpkkSZIkyVxPW8bqRpLepBz4sUhcE/e2Pat7BpPZRIQGrttuwTaQdAgt4aI1hts+alba7QwknUflNzyD/rbz94GTJEmSJEmSZC6hqbFqu0ezvKT7EYZctzDm5kYDO0mSJEmSJEmS1nTkp2uSJEmSuYinX3ubva6/r/2CSZIkbXDjV7bubBGSJJnHaes04CRJkiRJkiRJkiTpFNJYTZIkSZIkSZIkSbocaawmSZIkSZIkSZIkXY40VgNJY+J3LGv3W0h6UNI4SY9KOjXS+0n6fKcJGkh6u3L9RUlPSvrMHO7zYEnnzoF2+0t6TNIESTdK6lnJO1HSU5Iel/SFSvqmkiZG3jmSFOnbxlxOlbR3B/tfQtK/amOTdImkzSv5B0v6SNKGlbRJknq10+6PO6qDdto5NeQbF58z2yjbS9KkJnl3S2r4G1YzIcvWki6oS5sWcj0sabyk78fv2iKpj6RzZqXPWZD1EkmzdEp2tNPqmZc0oKNraxb7PVXS8XO6nyRJkiRJkq5KGqst3E/rnzu5DDjCdm9gfeCaSO8HdLqxWkPSjsDvgF1t/6Oz5fmY3A6sb3tD4AngRIAwNPYD1gN2Bc6XVDul+gLgCGDN+Owa6f8ADgb+PBP9/wy4p3I/GNitrsxk4KSZaBNgthirwdm2e8fnhNnYblMquq7yALBlXdp7Idd6wM7AF4GfAtgebfuYOStpY2wfZvuR2dBUP2bymW+iuyRJkiRJkmQmSGO1hdtoMXgAlgdeALA9zfYj4Uk7EjguPEnbSFpO0vWSRsVnK0nzSXquzkP4lKQVGpWP/FMlXRrer2cktfsFX9I2wMXAl2w/HWlflzQy5Pt97UuzpAskjQ7v12mVNp6TdFp4IydKWrsjyqr3LtU8veGFulvSdeEtHVjxem4q6R5JD0kaImnF0O9Q21OjqRHAynG9B3CV7Sm2nwWeAjaLekvYfsC2gcuBPaOt52xPAD7q4Dg2BVYAhlaSbwd2qit6M7CepM81aGP/0N0kSWdF2pmU3yceJ2lgpM0wN/EZEHUnSjqug3JLxSNdq7dvgzKLSLpKxWN9NbBIJW8XSQ/EvF8rabFIf07SKZLuA/aRdIykR6KNq2xPA55stk5sv0R5ifDdkLGfpJuj7e3U4h0eK2nxSP9hjGF86K2VF1jSspKei+v1KjqcIGlNSYtKuiXqT6rpoq6NGeYo0t+WdEbUHSFphTod9qLumY+sbSXdH8/q3lG2n6S7JP0ZmBhz21/lOZ8g6VtRbjFJd1SeuT0q/Z2kEkXwN+BzlfRW89BkTRyh8oyPnvLm642KJEmSJEmSzFXkT9e0cBdwSuX+bOBxSXdTPG2X2X5O0oXA27Z/BRBfTM+2fZ9KGO4Q2+tIugnYC/ijSkjpc7ZfbFQeWCf6XBvYHlg8+r7A9odN5F0IuAnoZ/uxkGUdYF9gK9sfSjofOIBizJ1k+1UV4/UOSRuGUQfwiu1NJH0HOB44bBb0CLAxxRv6PDAc2ErSgxQP8B62Xw6D4gzgm3V1vwlcHdcrUYzXGpMj7cO4rk+fKVRCVf8POBDYsZZu+w2VMOJlbP8nkj8Cfknxlh5UaePTwFnApsBrwFBJe9o+QdJ3wzPf1tw8DKxke/0o17OJuMdJ+npc/whYDOgNbAQsC4ySNKyuzreBd21vqBLCPCb6WBY4GdjJ9juSfgR8Hzg96r1ve+so+zywmu0pFdlqnufHGglq+5nQ7fJ1WccDR9keHsbx+5J2o7xo2Nz2u5KWbjL+GkcCv7U9UNKCQA+KJ/d5218KmZesVmhjjv4CLAqMsH2SpF8ChwM/r4yl0TN/KLAisDXlmR0EXBdVNqNECTwr6QjgDdt9JS0EDJc0FPgnsJftN2MuRkgaBGxCiSTYmPJv8xjgoWj3BGach1bYvgi4CGCpNdZ2O3pMkiRJkiTp8qRnNbD9LvB6fLHF9ulAH4rH7WuUL+iN2Ak4V9I4ypfWJcJjdDXFOIHyBfTqdsoD3BJexFeAlygev2Z8SAldPrSStiPlC/moaH9HYPXI+6qkMcBYiiFZ3ct3Q/x9COjVRp8dZaTtybY/AsZFm5+jhFPfHrKdTIsHFSheJWAqMLCW1KBtt5E+s3wHuNX2PxvkDQV2qUv7M7CFpNUqaX2Bu22/HN7hgcC2DdprNjfPAKtL+p2kXYE3m8haDQMeQjGUrgyv/4uUMOa+dXW2Bf4EEC8mai8ntqDM//CQ5SBg1Uq9qyvXE4CBYSjXvN+DgS/QNo3maDjwa5WogZ6hr52AP8bzh+1X22n3AeDHYWCvavs9YCKwk6SzJG1j+426Om3N0QcUrznM3Pr/i+2PIsy4+pyOjCgAKOvnG6HjB4FlKCHrAv5X0gTgb5QXLSsA2wA32n7X9puUfx9qNJqHJEmSJEmSbk16VlszhBIKfClAhNZeIOli4GVJyzSoMx+wZXxpno6kB4DPSlqO4jn6eTvlAaZUkqbR9vx8BHwV+JukH9v+X8qX4Mtsn1jX9moUr1Zf269JGgAsXClS67e9PqtMjbGgIvyCDdqrtingYdv1+x1rMh4E/DewY4T2QvGYrlIptjLFWzuZ1oZuLX1m2RLYJjzKiwELSno79oQOBo4FrqwVtj1V0v9RPJvTRe9gXw3nBkDSRhTj7yjKnNZ7m5u11xEaGfECbre9f5M671Suv0Qx7HYHfiJpPdv/krS0pE/VjMxWjUurU+b9JVqiBrB9pqRbKJ7QEZJ2ClkayTh9fVFZq7b/HF76LwFDJB1m+06VcO4vAr+QNDReNlXH24wPK+ttZtZ/dY1X23+nLv3oeLnQkigdDCwHbBpe9udoGWOzly6N5iGN1iRJkiRJujXpWW3N9H2rkr4URhgUb8g04HXgLUqYbo2hwHdrN5J6A8QX4BuBXwOPVsJJG5b/OISh8N/AARGaeAewt6Tlo+2lJa0KLEH5Ev2Gyp68+sODPg7PUTyFUPaWLtC8KACPA8tJ2jJkW0DSenG9K8UA3L3O+BkE7CdpoTC416R4rl4A3lI5sVnANygh0TOF7QNsf8Z2L4oxf3nl8KKxwEaVNVBjAMUbuFzcPwhsp7KvsgewPy2HNX2olhOmG85NhIHOZ/t64CeUUNCOMAzYV2Vf5HIUQ2ZkgzIHRH/rA7XTjEdQQrM/G3mfkrRWfQcRyruK7buAHwI9KUY9lLD5fg3qLAdcCJxbMQJreWvYnmj7LGA0JYR2KPBNSZ+q6SWKP0fL+qrujV4deMb2OZT1sWFEQ7xr+0/Ar5hRh23NUUeof+Y7yhDg27U1IGktSYsCSwIvhaG6PS1e7WHAXip7jRcH/l/Ua2sekiRJkiRJui3pWa1g+9H4QtmDso/xbEnvUrw8B9ieJumvwHUqh6IcDRwDnBchffNTvnAeGU1eDYyinE5bo63yH0fmV8PYG0bxBJ5M2ZM3HyVU+CjbIySNpeyPfIYSjvlxmJ8Wj9LFwE2SRlIMsXea1ipyfqByEM05sadwfuA3IdO5lD24t4dtOML2kbYflnQN8AhlDo6KA36g7MccQDk06Lb4IKkv5SXBUsD/k3Sayym1M4VtR/jmJnXpH6j8FMtv4/4FSSdSjDdRwoprhvNFwARJY2wfIGmGuQHeo+xrrr04msHz2oQbKZ7h8RRv3A9t/1utf07ngmh7AiUce2TI/HJ4965U2UsJZd08UddHD+BPMV+ihCK/HnmDgS8DtxIHSVFeWEwFrqC8pKnn2DDOplHm9LbYg9kbGC3pg2jvxxSj8xpJBwJ3VtrYF/i6pA+Bf1P22fYF+kv6iKLXb1c7bWeOOkL9M99RLqGEFY+Jlx4vU6IsBgJ/lTSaMi+PhZxjVA7CGgf8Hbg32mlrHpIkSZIkSbotqnN+zPOoHKZyhe2Pa9B1WySdDTxp+/zOluWTQNJ+wBq2z+hsWboa4S180HZHPcHJJ8hSa6ztfr+8pLPFSJJkLufGr2zd2SIkSTIPIOkh230a5qWxmnQESbdR9qV+ucEBNkmSdCH69Onj0aNHd7YYSZIkSZIk7dKWsZphwF0YlQOd7miQtWNlD+yc6PcQ4Ht1ycNtHzWn+pyTSNqAEppaZYrtzTtDniRJkiRJkiRJ2ieN1S5MGKS9O6HfPwJ//KT7nVPYnkgn6DFJkiRJkiRJko9PGqtJkiTdjGden8K+NzzV2WIkSTKXcPWXP9vZIiRJkjQkf7omSZIkSZIkSZIk6XKksZokSZIkSZIkSZJ0OdJYTZIkSZIkSZIkSbocaazOBUgaE79riaTzJI2T9Iik9+J6nKS9O0GuuyU1PGb6E+i7l6RJc6DdAyRNiM/9kjaq5O0q6XFJT0k6oZK+tKTbJT0Zf5eK9GUk3SXpbUnnVsrfLum/KvenSnpX0vKVtLfbkbOnpO/MpjEPkPRsZS0d00bZfpJubpL3nKRlZ1GWr0v6UYP04yS9L2nJRrJIOriq4zban2UZPwlm5/wmSZIkSZLMraSxOndwP7AVgO2jbPcGvgg8bbt3fK7rTAG7Ec8C29neEPgZcBGApB7AecBuwLrA/pLWjTonAHfYXpPyU0M1Q/Z94CfA8XV9DAF2rUt7BfifmZCzJzA7jZkfVNbSObOx3aaETusZAnyhQfr+wChgrzkqVNehJ7N3fpMkSZIkSeY60lidO7iNGY2b6YSX8d7wwI6R9PlI7xfez+skPSZpoAo7SrqxUn9nSTfE9QWSRkt6WNJpHRVQ0v6SJkqaJOmsSvrbks6QNF7SCEkrRPpykq6XNCo+W0X6dhUP31hJi3eg71ZeNUk3S+r3cfq3fb/t16KpEcDKcb0Z8JTtZ2x/AFwF7BF5ewCXxfVlwJ7R1ju276MYrVUazeelwL6Slm4wvu+HXidJOjaSzwTWCD31j3I/iLFMqM2dpEUl3RLjnyRp3/b0GfUWlvTHmNOxkrZvUGYZSUMj//eAKnlflzQy5Pt9zTCN+Thd0oPAlpLOVIkSmCDpV7ZfBhaWtESlrTWAxYCTKUZrh2lHxkZ6RdI3Qp7xkq6ItAGqRC8oPN/xjN0j6RpJT8R4DoixTwzZ21rvp0q6NJ7TZ9Ti1W41v5JWlDQs7idJ2mZm9JAkSZIkSTI3ksbq3MFdwAzGQoWXgJ1tbwLsC1Q9YxsDx1K8gatTPLR3AutIWi7KHELL76qeZLsPsCGwnaQN2xNO0qeBs4AdKL9n2lfSnpG9KDDC9kbAMODwSP8tcLbtvsBXgEsi/Xig5j3eBnivvf7bYWb7r3IoxbAEWAn4ZyVvcqQBrGD7BYD4uzxtYPthYG219iy+TTFYv1ctK2lTyvxsDmwBHC5pY4r3tuZZ/4GkXYA1KUZ1b2BTSdtSjOLnbW9ke31gcBOx+ldeEmwAHBWybkAxEC+TtHBdnZ8C99neGBgEfCZkXoeyDreKeZwGHBB1FgUm2d4ceITiKV0vPNk/jzJ3ADtW+tkfuBK4F/icKuHSHaCZjA31Kmk94CRgh1gz32vcbCtq5TYADgTWsr0ZZU0dHWXaWm9rU7zJmwE/VQn5bzW/wNeAIaHPjYBx9UJIOkLlRdPoKW+82iHlJEmSJEmSdGXSWJ0LsP0u8HoYhY1YALhY0kTgWophWmOk7cm2P6J8we1l28AVwNcl9QS2pMUo+6qkMcBYYL26tprRF7jb9su2pwIDgW0j7wOgtsfxIaBXXO8EnCtpHMWIWCK8qMOBX4eHqWe0NyvMbP8AhCfxUKC2f3K6R66CZ0GukRTjpMo5wEFVryKwNXBjeGnfBm6gGPH17BKfscAYigG0JjAR2EnSWZK2sf1GE3mqYcATo98rAGw/BvwdWKuuzrbAn6LMLUDNI70jsCkwKvS7I+VFCRTD9fq4fpPidb5E0peBdyO93vO8H3BVrOEbgH2ajKERzWRsptcdgOtsvxJ1OmL1jbL9gu0pwNPA0EifSMfW2y22p0SfLwErNOoDOETSqcAGtt+qL2D7Itt9bPdZaMkZHPRJkiRJkiRzHfN3tgBJh6ntc7y0Qd5xwIsUj8t8tA47nVK5nkbLnP8R+GuUvdb2VEmrUTybfW2/JmkAUO9Na0QjQ67Gh2Ec1/c/H7Cl7XrP6ZmSbqHsyR0haacwltpiKq1fvFRlntn+CW/yJcButv8TyZOBVSrFVgaej+sXJa1o+wVJK1IMjvYYTNn/+kAtwfbrkv5M672Kbem2ldjAL2z/vsF4NqXo8xeShto+vYPtdYRGBruAy2yf2CDvfdvTAGLNbUYxZvcDvksxFh8Ezg/ZN6QY3bdLAlgQeIayf7ijNJOxEWpSfvoaUxFkwUpe9Rn7qHL/Ee2stxhTs2e0ZQD2sPCUfwm4QlJ/25c3GUOSJEmSJEm3ID2rcw9t7VtdEnghPE8HAo0OrmmF7ecpxtbJwIBIXgJ4B3hDZW/nbh2U7UFKyPCyEdq6P3BPO3WGUowTACT1jr9r2J5o+yxgNMVD2B7PAb0lzSdpFWb0WM5M/5+heNkOtP1EpfwoYE1Jq0lakGJcDYq8QcBBcX0QcFMH+v8brUNda/wa+BYtBsswYE9Jn5K0KCVs9l7gLaC6n3cI8E1Ji8U4VpK0fHjj37X9J+BXwCYdkK3W7wHR1lqU8NnH2yizG7BUpN8B7F0L11U5LXnV+g5C1iVt30oJVe8NEMbs4yoHWO0PnGq7V3w+DazUqL0OjKMqYzO93kGJLlimJnuUf47iLYayR3mBDvZfo+F6a4NW8xvjfcn2xcAf6Pg8JkmSJEmSzLWkZ3UuwfajktaS1KPmmapwPnC9pH0o+1vf6WCzA4HlbD8SfYyXNBZ4mOK9Gt5O/fmBKeFRPDH6FnCr7fYMtmOA8yRNiHaGAUcCx0YI7jTKnsbbmtSfnxaP1HDKKb4TgUmUMNj2aNb/KcAywPnh9ZoaoZVTJX2XYhT2AC6NvadQDsO5RtKhwD+ohKlKeo7yEmDB2Me7i+1HbL8p6YPKvmEAbL+icvjVcXE/JjzcI6PIJbbHRtvDVX6+57bYt7oO8EDI/TbwdeCzlP2oHwEfAt/ugG6grKkLI7R8KnCw7SnRdo3TgCsjbPyeGDu2H5F0MjBU0nzR71GUUOIqiwM3xV5Y1cYc1DzP+zHjS5MbI/3BDoyjmYxt6fUM4B5J0yhh1QcDF4esIykGbUefsRrN1ltDbP+nOr+Udf0DSR9S5vYbM9l/kiRJkiTJXIdaIiSTro6kC4ErbLdnRHa0vXOBsbb/8DHqLgQ8Bazfxj7IOYakPYADbH/1k+57dqHyW63/tD2ws2XpakQ49WW2d+lsWeZGlv7sBt75lze2XzBJkgS4+suf7WwRkiSZh5H0UBzwOmNeGqvzJpIeoniHdo6DYWambh/K4TuX2/7FnJCvnf5Pp4RiHlzzhiVJ0kKfPn08evTozhYjSZIkSZKkXdoyVjMMeB7F9qbtlypEWOpqdcnH2h4ye6Vq2PcGxKm0FabEz4okSZIkSZIkSdJNSWM1aRfbe3Vi3xOJg3eSJEmSJEmSJJl3yNOAkyRJkiRJkiRJki5HelaTJEm6GS+9/iHn3fhiZ4uRJEknctReK3S2CEmSJLNMelaTJEmSJEmSJEmSLkcaq0mSJEmSJEmSJEmXI43VboqkMZIWqNzfHT8509H6P54zkn1ySPqqpEckPSzpz03KfD/KTJB0h6RVI317SeMqn/cl7dmkjYMkPRmfgyrpAyU9LmmSpEslLSBpa0kX1NW3pP+r3B8v6dR2xranpHU7ro2m7fSS9F7dWBdso3zDdSTp4Pjd3lmVp9W6jbT5Jb0i6Rd16dNlkfScpGXbaXu2yPhJMLvmN0mSJEmSZG4mjdXuy/3AVrNQf642ViWtCZwIbGV7PeDYJkXHAn1sbwhcB/wSwPZdtnvb7g3sALwLDG3Qz9LAT4HNgc2An0paKrIHAmsDGwCLAIcBDwBb1jUzBfhye8ZWHXsCs8uYebo21vh8MJvabYqkZvvlG63bXYDHga9K0hwVrOuwJ7NvfpMkSZIkSeZK0ljtvtwG7FqfKGk+SZdJ+nnc/0XSQ+F9PCLSzgQWCS/bwEj7uqSRkfZ7ST0atH1mxUv5K0mLS3q25imTtER4wBYIr9jZkoZJelRSX0k3hHfy55U2Z+g3PgPCYzlR0nENxn84cJ7t1wBsv9RISWGUvhu3I4CVGxTbG7itUq7KF4Dbbb8afd1e07vtWx0AI4GVbU8DnpS0dqWNqcBFwAzjkLRqeHxrnt/PSPo8sDvQP/SyRnwGx1zeW2tf0j6hp/GShjXSQSMk7ShpbOj3UkkLNShziKQnJN1DxcCUtJyk6yWNis9WkX6qpIskDQUul7ReZW4nxAuGRut2f+C3wD+ALTo6hnZknEGvkb6CpBtDX+MlfV7F+zypUne653tW1nGkvy3pjOhrRPTfaH6PqTxbV82MDpIkSZIkSeZW0ljtvtwFbF+XNj/F2/eE7ZMj7Zu2NwX6AMdIWsb2CcB74WU7QNI6wL4UL2VvYBpwQLVhFQ/jXsB64aX8ue23gLuBL0Wx/YDrbX8Y9x/Y3ha4ELgJOApYHzhY0jJt9NsbWMn2+rY3AP7YYPxrAWtJGh5GwAyGewMOpRhL9ewHXNmkzkrAPyv3kyNtOmGsHwgMjqTBwG517ZwHHCBpybr0c4HLQ6cDgXNs3w8MAn4Qc/Q0xdg9OubyeOD8qH8K8AXbG1EMoEasoZYQ4PMkLQwMAPYN/c4PfLtuTCsCp1EMwJ1p7QX8LXC27b7AV4BLKnmbAnvY/hpwJPDbmNs+FN21WreSFgF2BG6mzMH+TcYwA+3IOINeI/0c4J7Q1ybAwx3o6uOuY4BFgRHR3zDg8CbzewKwcch7ZJPxHiFptKTRb7/5agfETpIkSZIk6dqksdpNCS/g65I+XUn+PTDJ9hmVtGMkjad4FVcB1mzQ3I4UI2OUpHFxv3pdmTeB94FLJH2ZEjYLxVA5JK4PobVhOSj+TgQetv2C7SnAMyFLs36fAVaX9LswQt9sIPP8MZZ+FAPnEkk9G5QDiueLYjD1r0tfkRLGO6RZ1QZprrs/Hxhm+964H0zxyLZUsN8ELgeOqau7JVDbb3sFsHUD2RcDPg9cG3r6PbBiZA8HBkg6HJjBGx5Uw4CPAj4HPGv7ici/DNi2rs7mwN22X46w4asreTsB54Ysg4AlJC0eeYNsvxfXDwA/lvQjYFXb7zVYt/8N1Lzf1wN7qYFXvwltydhMrzsAFwDYnmb7jQ7083HXMcAHFEMc4CGgV5M+JgADY51ObVTA9kW2+9jus9gSS3dA7CRJkiRJkq5NGqvdmyG0Dqm8H9g+PGdI6kcxLLYMz85YYOEG7Qi4rGLQfM72qdUCtqdS9mxeT9lvNzjShwO9JG0H9LA9qVJtSvz9qHJdu5+/Wb8RbrsRxWt7FK09dzUmAzfZ/tD2s5Q9j2tGyOW4MBoIPewEnATsHkZGla8CN9a8wZI2r3ghd49+VqmUXxl4vtL2T4HlgO9XdPUvYGlJn6rr6zcU7+6iDcYzvXqDtPmA1+v2na4TfR0JnBwyjpO0TBttTxe7A2WayVKTZ8uKLCuFlx3gnemV7T9TvL3vAUMk7RBZ1XW7P7CTpOcoxtwyzBgx8HFknJlyU2n9b2X9M/Kx1nGU+TDCxKF4XJvt5f0Sxfu+KfCQmu/5TZIkSZIk6Taksdq9qd//9wfgVooHbn5gSeA12++q7HGs7gf8UC2nst4B7C1peSghv4pTc2uEd29J27dSDjPqXcm+nBLC2Shcty0a9qtyENF8tq8HfkIJ16znL4RRE+XXAp6xfVLl4CQkbUzxRO7eZF/r/lRCgG0/WDE6BlEMq10kLaVysNIukYakwyge1P1tf1TX7l0Ur+90bL8KXEMxWGvcTwlDhhI6el9cvwUsHvXeBJ6VtE/0K0kbxfUaIfMpwCu0Nqyb8RjlBcNn4/5A4J66Mg8C/SLMdQFgn0reUOC7tRtJvRt1Iml1ypycQ/FObhhZtwG7SlqC4vH8jO1etntRXk50NBS4LRmb6fUOIuRZZW/0EsCLwPLRzkIUb+/M0O7z04Dp8ytpPmAV23cBPwR6AovNpAxJkiRJkiRzHWmsdmNsP0rZt9mjkvZrYAwl9HEwML+kCcDPKKHANS4CJkgaaPsRinduaJS9nZYw0xqLAzdH/j20PixoILAUzfd9NpO/Wb8rAXeHd3QA5dTfeoYA/5H0CMUw/IHt/zQo15/yxf/a8JbWQjqR1Iti3NUbalUZX6XoblR8To80KHsYVwAeiLZPqVRttG8V4P+A6qnAxwCHxPgPBL4X6VcBP1A5BGkNisF1aIR0PwzsURufyiFJkyh7Isc3G0tlTO9TQravlTSR4iG8sK7MC8CplFDev1HWVFXmPnEY0CM02WNJ2cc5KeZxbcpLjenrlmJc3lnn7b4J2F0NDnxqMI72ZGyk1+9Rog8mUjy564VX/XSK8XszxZjvMB18fuqZPr+UcPY/hUxjKfuBX58ZGZIkSZIkSeZG1BKBlnRHJF0IXBHhuJ0lw96UQ3UO7CwZuhrh6XvQdiOv8DxPV1i3czOf+exG/lH/GX5pKUmSeYij9lqhs0VIkiTpEJIest2nUV7ue+rmxJ7FTkPS7ygexC92phxdjfDWpaHahM5et0mSJEmSJEnnk8ZqMkexfXRny5Ak8xrL91wgvSpJkiRJksz15J7VJEmSJEmSJEmSpMuRxmqSJEmSJEmSJEnS5cgw4CRJkm7GG69N5barX+lsMZIkmU3stu+y7RdKkiTphqRnNUmSJEmSJEmSJOlypLGaJEmSJEmSJEmSdDnSWO1EJI2J39us3d8tqeFvDDWp/+M5I9knh6SvSnpE0sOS/tykzPejzARJd0haNdK3lzSu8nlf0p5N2jhI0pPxOaiSPlDS45ImSbpU0gKStpZ0QV19S/q/yv3xkk5tZ2x7Slq349po2k4vSe/VjXXBNso3XEeSDpZ07myQp37dDpD0rKTxkp6QdLmklSr5t0rqOav9fgw5d5d0wmxop6ek71Tu+0m6eVbb7UC/vSRNmtP9JEmSJEmSdFXSWO1c7ge2moX6c7WxKmlN4ERgK9vrAcc2KToW6GN7Q+A64JcAtu+y3dt2b2AH4F1gaIN+lgZ+CmwObAb8VNJSkT0QWBvYAFgEOAx4ANiyrpkpwJclzczGoT2BWTZWg6drY43PB7Op3aZIaranvdG6/YHtjYDPUebrrppBbfuLtl+fY4I2wfYg22fOhqZ6At9pr1A9knrMhr6TJEmSJEnmWdJY7VxuA3atT5Q0n6TLJP087v8i6aHwPh4RaWcCi4SXbWCkfV3SyEj7faMvy5LOrHgpfyVp8fCKLRD5S0h6LjyMd0s6W9IwSY9K6ivphvBO/rzS5gz9xmdAeCwnSjquwfgPB86z/RqA7ZcaKSmM0nfjdgSwcoNiewO3VcpV+QJwu+1Xo6/ba3q3fasDYCSwsu1pwJOS1q60MRW4CJhhHJJWDY9vzfP7GUmfB3YH+ode1ojP4JjLe2vtS9on9DRe0rBGOmiEpB0ljQ39XippoQZlDglv5z1UDExJy0m6XtKo+GwV6adKukjSUOBySetV5nZCvGBouG5Dn7Z9NvBvYLdo8zlJy0paVNItMc5JkvaN/L6S7o/0kbEmW3mBJd0cHs2G60rSMZV1fVWkTW+j0RxF+gBJ50T/z0jau8GwzgTWCB30j7TFJF0n6TEV77wqYz1F0n3APpJ2kfSAijf6WkmLRblTQu+TQt+1+puGHh4AjqqMv9E8JEmSJEmSdGvSWO1c7gK2r0ubn+Lte8L2yZH2TdubAn2AYyQtY/sE4L3wsh0gaR1gX4qXsjcwDTig2rCKh3EvYL3wUv7c9lvA3cCXoth+wPW2P4z7D2xvC1wI3ET5Ar0+cLCkZdrotzewku31bW8A/LHB+NcC1pI0XNIISQ0NoDoOpRhL9ewHXNmkzkrAPyv3kyNtOirG+oHA4EgaTBhbFc4DDpC0ZF36ucDlodOBwDm27wcGUTyOvW0/TTF2j465PB44P+qfAnwhPJO7NxlDzVgaJ+k8SQsDA4B9Q7/zA9+uG9OKwGkUI3VnWnt5fwucbbsv8BXgkkrepsAetr8GHAn8Nua2D0V3jdZtPWMoHusquwLP297I9vrAYBXv69XA92L8OwHvtdFubxqvqxOAjWMOjmxQb4Y5quStCGwN/DfFMK3nBFo82z+ItI0pkQDrAqvT2tP8vu2tgb8BJwM72d4EGA18vyaP7b6hh0Wib2I8x9iu9+w3modWSDpC0mhJo9988z8NhpEkSZIkSTJ3kcZqJxJewNclfbqS/Htgku0zKmnHSBpP8SquAjTyquxIMTJGSRoX96vXlXkTeB+4RNKXKWGzUAyVQ+L6EFobloPi70TgYdsv2J4CPBOyNOv3GWB1Sb8LI/TNBjLPH2PpB+wfcvVsUA4oHlzKF/X+dekrUsJ4hzSr2iDNdffnA8Ns3xv3gyke2ZYK9pvA5cAxdXW3BGr7ba+gGD71si8GfB64NvT0e4qRBDAcGCDpcKBZ6Gg1DPgoSrjts7afiPzLgG3r6mwO3G375QgbvrqStxNwbsgyCFhC0uKRN8h2zWB8APixpB8Bq9p+r8m6nWHIDdImAjtJOkvSNrbfiHG8YHsUFB3bntpGu83W1QRgYKyRRvXbmqO/2P7I9iPACm30XWWk7cm2PwLGAb0qeTU9b0ExZoeHng8CVo287SU9KGkiJYR9vXgJ0tP2PRU5a8wwD/UC2b7Idh/bfZZYYpkODiNJkiRJkqTrksZq5zOE1iGV91O+yC4M5TAXimGxZXiexgILN2hHwGUVg+Zztk+tFggjYDPgesp+ysGRPhzoJWk7oIft6qEuU+LvR5Xr2v38zfqNcNuNKF7bo2jtuasxGbjJ9oe2nwUeB9aUdEbNizh9cNJOwEnA7mEsV/kqcGPNGyxp84oXcvfoZ5VK+ZWB5ytt/xRYjhavF7b/BSwt6VN1ff2G4t1dtMF4pldvkDYf8HrdvtN1oq8jKR64VYBxkjpiaTQyBjsqS02eLSuyrBRedoB3ple2/0zx9r4HDJG0Q2TVr9t6NgYebSVIMaw3pRitv5B0SoyjkYxTaf3v08LRRrN19SWK53tT4CE13287XZzKdXU9dVSv1TrTaP2b1TX9iRJ+XtPxurYPjWf7fGDv8A5fHONrpou25iFJkiRJkqTbksZq51O//+8PwK0UD9z8wJLAa7bfVdnjuEWl7IdqOZX1DmBvSctDCflVnJpbI7x7S9q+lRLC2LuSfTkljLZRuG5bNOxX5SCi+WxfD/wE2KRB3b8Q4aRRfi3gGdsnueXgJCRtTPFE7u7G+1r3pxICbPvBioEwiGJY7SJpKZWDlXaJNCQdRvGg7h9esip3Uby+07H9KnANxWCtcT8lDBlKCPR9cf0WsHjUexN4VtI+0a8kbRTXa4TMpwCv0NqwbsZjlBcMn437A4F76so8CPSLcO0FgH0qeUOB79ZuJPVu1Imk1Slzcg7FA7thZDXbby1Jx1C8xoPr8j4NvGv7T8CvKGviMeDTkvpGmcVj3T8H9FbZv70K5SULjdaVpPmAVWzfBfyQciDSYnWiNZujjjB9HmeSEcBWtTmS9ClJa9HysumVeCb3BnA5hOoNSTWv7/Qw/jbmIUmSJEmSpNvSnvchmcPYflTSWqochmT71xESeAVwMHCkpAkUz+OISvWLgAmSxrjsWz0ZGBpf3j+keJ7+Xim/OHBTeHZE68OCBgI/p/m+z2byP9Kk3/eAP0YalFN/66kZkY9QvFM/sN1os11/ivFxrco5NP+wvTuUn/egGHf1hlpVxlcl/QwYFUmnh9EJZS/u34EHou0bbJ8eeYOBL1NeHlT5PyqGHiUs+FJJPwBepiWk+irg4jDe9qYYHxeEvhaI/PGUQ5jWpMzJHZHWJrbfl3QILS81RsVYqmVeUPl5nQeAFyj7SGvr7BjgvFhX8wPDaLzXc1/g65I+pByadHq0Xb9u+0v6CfApyhrd3jOeWLxBlPuIsk6+bfsDlYOWfidpEcq62YkSGv0sxQs7KWSHste4fl31AP4Uz4woe3Ffj/ms0WyO2sX2f1T2VU+iGOm3dLDey5IOBq5Uy+FXJ9t+QtLFMbbnaFmXhFyXSnqX1mHtDechSZIkSZKkOyO7WZRg8kkh6ULgigjH7SwZ9qYcqnNgZ8nQ1Qhv5INxOE5SR1dYt0lj1lyjt8/53791thhJkswmdtt3Zn41LUmSZO5C0kO2+zTKS89qFyD2LHYakn5HOfn2i50pR1cj9sCmodqEzl63SZIkSZIkSfcmjdUE20d3tgxJksw+llxq/vTEJEmSJEky15MHLCVJkiRJkiRJkiRdjjRWkyRJkiRJkiRJki5HhgEnSZJ0M959ZSpjL2n0K09JknRVNj5s+c4WIUmSpMuRntUkSZIkSZIkSZKky5HGapIkSZIkSZIkSdLlSGM1SZIkSZIkSZIk6XKksdqNkTRG0gJxfZ6kcZIekfReXI+TtHcnyHW3pIY//PsJ9N0rxj9W0qOSRko6aBbaGyjpcUmTJF1a0bcknSPpKUkTJG1SqbNr1HlK0gmV9KUl3S7pyfi7lKSVJd1W1+dzkq6v3O8taUA7cvaT9PmPO866tqZV1s84Sb3aKDug0RoLeW6eDbLcLum/KvenSnpX0vKVtLfbaaOnpO/MqizR1umSdmqnzKmSjp8d/SVJkiRJknRn0ljt3twPbAVg+yjbvYEvAk/b7h2f6zpTwE7iadsb214H2A84TtIhH7OtgcDawAbAIsBhkb4bsGZ8jgAuAJDUAzgv8tcF9pe0btQ5AbjD9prAHcAJticDy0papK7fPpLWmwk5+wGzxVgF3qusn962n5tN7TZFUrPD4IYAu9alvQL8z0w03xOYLcaq7VNs/212tJUkSZIkSTKvk8Zq9+Y2ZvwiP53wMt4bHtgxNc9beL3ulnSdpMfCeyhJO0q6sVJ/Z0k3xPUFkkZLeljSaR0VUNL+kiaGZ/KsSvrbks6QNF7SCEkrRPpykq6XNCo+W0X6dhVP31hJi3ekf9vPAN8Hjol2Fg0P6ahoZ49I7yHpVyHrBElHR/1bHQAjgZWj6T2AyyNrBNBT0orAZsBTtp+x/QFwVZSt1bksri8D9ozru4Ht6kT/FfDjBvpcWtJfQsYRkjYMz+eRFKN8nKRtZrceJfWO/iZIulHSUg3K7Brr6T7gy5X0Zjo/WNK1kv4KDJW0oqRhIdskSdvQeI1fCuwraekGMnw/6k6SdGwknwmsEe32j3I/CHkm1NZzyHlLrMlJkvZt0P50T7KKB/y0eLYmSlq7UnQjSXeqeNEPj/KS1D/anlhrX8VDf0pcfyF0kP92J0mSJEnS7cmfrune3AWc0kb+S8DOtt+XtCZwJVALz90YWA94HhhO8dDeCZwnaTnbLwOHAH+M8ifZflXFc3iHpA1tT2hLOEmfBs4CNgVeoxgke9r+C7AoMML2SZJ+CRwO/Bz4LXC27fskfYbiWVsHOB44yvZwSYsB73dUScAYincU4CTgTtvflNQTGCnpb8A3gNWAjW1PrTeEVMJ/DwS+F0krAf+sFJkcaY3SN4/rFWy/AGD7BbWEsg4Gdo+/Na4BviPps3VjOQ0Ya3tPSTtQDObeki4E3rb9q5D3z3x8PS4iaVxcP2t7L+By4Gjb90g6HfgpcGxFPwsDFwM7AE8BV1faa6ZzgC2BDWNt/Q8wxPYZsc4+ZfstSWtL6mF7WtR5m2Kwfi/kqMmwKWXNbg4IeFDSPRSP9voReYCkXSge8c2i3CBJ2wLLAc/b/lKUW7KBbup5xfYmKmHGx9Pied8Q2IKyzsdKuiXG2hvYCFgWGCVpWMg3StK9wDnAF21/VN+RpCMoXnz+a+mV67OTJEmSJEnmOvLtfDfG9rvA62EUNmIB4GJJE4FrKWGpNUbanhxfiscBvcJ7eAXw9TAqtqR4tgC+KmkMMJZi5FbbakZf4G7bL9ueSgmp3TbyPgBqexofAnrF9U7AuWEsDQKWCO/fcODXko4BekZ7HUWV612AE6L9u4GFgc9EvxfW2rX9al0b5wPDbN/boM0abiO9Le4Ftq5Lmwb0B06sS9+aMkfYvhNYpolRNSt6rIYB7xXt97R9T+RfRss81libYtg+GevoT5W8ZjoHuL2i61HAIZJOBTaw/Vakj6QYllXOAQ6StESdbm60/Y7tt4EbgG0ajG+X+Iyl5UXGmsBEYCdJZ0naxvYbDerWc0P8ra5hgJtsv2f7FcpLpc1CvittT7P9InAP0Dee48OB24FzbT/dqCPbF9nuY7vPUosv0wHRkiRJkiRJujbpWe3+1Pb0Xdog7zjgRYonZz5ae9GmVK6n0bJW/gj8NcpeG17G1Sheo762X1M57GfhDsjWyHCr8WEYNfX9zwdsafu9uvJnhnfqi8AISTvZfqwDMkDxIj9akekrth9vJagkmhiVkn5K8bp9q5I8GVilcr8yxUu9YJN0gBclrRhe1RUpnm9sfyBpsqTVI2y5xhUUY/XhqjgNRGwk95zQY3s0M8qb6Xxz4J3ple1h4eH8EnCFpP62L6d4nHcDHqiUfT28x9W9qG2tt3p5fmH79zNkFO/sF4FfSBpq+/R22qo9R9U1DDPqotmLjBobAP8Bmr14SpIkSZIk6XakZ7X709a+1SWBF8J7eiDQo73GbD9PMa5OBgZE8hIUo+INlb2lu3VQtgeB7SQtG2Gd+1O8SW0xFPhu7UZS7/i7hu2Jts8CRtMS1tsmKvs5fwX8LpKGAEeHcYqkjSv9Hqk46KcWBizpMOALwP51oZmDgG/EPsQtgDcixHcUsKak1SQtSDngaVClTu1k4oOAmyrtDaZuHm1/CJxNJdwWGAYcELL1o4Shvgm8BVT3n842PYaH8TWVPaRQ1lL9PD4GrCZpjbjfv5LXTOetkLQq8JLti4E/ALUTlv8G7Nigyq8pLxBqRuIwYE9Jn5K0KLAXxWtdr5shwDcjDBpJK0laPiIU3rX9J8qa2YSPzx6SFpa0DOXwq1Eh374q+6OXo3inR8a4/4fyUmW3MOKTJEmSJEm6PWmsdnNsPwqsFcZgPedTQiVHAGtR8WK1w0Dgn7YfiT7GU0ImH6Z4cIe3U39+YEoYbydSwiDHA2Ns39RmzXIQUh+Vg28eoRwcBHCsysE044H3aAlPbsQaip+uoez9/J3t2t7bn1HCoydImhT3AJcA/4j08cDXIv1CYAXgAZUDemp7hG8FnqHsz7yY8PBFWO13KQbRo8A1tmue0TOBnSU9Cewc9zWavXT4A609dqfW9BP1a8bvX4G9QsZtmD16rHIQ0D/67Q208jjafp+yn/IWlQOW/l7JbqbzevoB4ySNBb5C2b9MGOMfhIFX7fMV4EZgobgfQ3nBMpLyouQS22Nt/wcYHuPub3so8GfKnE4ErqMYsxtQjMdxlH22P++gbhoxErgFGAH8LF4C3QhMoDwLdwI/pEQ+/AE4PsocClyisgc4SZIkSZKkW6OWSMuku6JyuM4VttszIjva3rmUQ3z+8DHqLkQx4Nbv4J6/JJD0EPB521PaLTyPofJ7tf+0PbCzZekKrNurtweePLSzxUiSZCbY+LDl2y+UJEnSDZH0kO0+DfPSWE1mhjCY3qGcIjxTRpOkPpR9lpfb/sWckC9JEujTp49Hjx7d2WIkSZIkSZK0S1vGah6wlMwUtjftaFmV32RdrS75WNtDZq9UDfvegDgVt8IU27nfL0mSJEmSJEnmAtJYTeYY8fubndX3RMreySRJkiRJkiRJ5kLygKUkSZIkSZIkSZKky5Ge1SRJkm7Gh//+kBd++a/OFiNJkg6w4g9X6mwRkiRJuizpWU2SJEmSJEmSJEm6HGmsJkmSJEmSJEmSJF2OOWKsShojaYHK/RaSHpQ0TtKjkk6dE/1W+jtJ0sOSJkSfm0f6c5KWnQ3tN2xH0tvt1Osp6Tuz2n+Ddu+W9HiM9zFJ50rq+THbOiDamSDpfkkbVfJ2jX6eit+1rKUvLel2SU/G36UqeSdG+cclfaGdvmfL/NS12VvSA5X1sG8lb7VYl09KulrSgpEuSeeE3BMkbVKpc6mklyRN6kDf/WM+Jki6MeZ/ZUm3NRj39ZX7vSUNaKftfpI+PxOqaKutafGc1D692ig7QNLeTeS5eTbIcruk/2qQPl7Slc1kiWeg4ZHns1vGT4LZOb9JkiRJkiRzK3PKs3o/sFXl/jLgCNu9gfWBazrakKSZ2lcraUvgv4FNbG8I7AT8c2bamIP0BGa7sRocEOPdEJgC3PQx23kW2C7a+hlwEYCkHsB5wG7AusD+ktaNOicAd9heE7gj7on8/YD1gF2B86OdT5J3gW/Yrsnwm4ohfxZwdsj9GnBopO8GrBmfI4ALKu0NiHY6wu3A+qHLJ4ATbU8GlpW0SF3ZPpLWm4lx9QNmlzHznu3elc9zs6ndprTxXA+hTr+S1qH8W7WtpEXntGxdhH7MvvlNkiRJkiSZK5lTxupttP7CuTzwAoDtabYfAZC0WXjvxsbfz0X6wZKulfRXYKikxSTdER7biZL2aKPvFYFXbE+J/l6x/Xwl/+hKO2u3I0cPSb+KshMkHV3tSNIikgZLOrxeCEk/kDQq6p0WyWcCa4T3qn948PpLmhR97Bt1+4Wn6LrwzA2UpI4o3vYHwA+Bzyi8opK+Lmlk9Pv7msGo4ikdE16rO6L+/bZfi+ZGACvH9WbAU7afiT6uAmrzsAflhQTxd89K+lW2p9h+Fngq2mkTSb2qnktJxyu88aGXs2I8T0jaJtJ7hC5rOv9WjOcJ20/G9fPAS8Byoc8dgOuayH25CyOAnpJWjDaGAa+2N4YoO9T21Lit6vJuYLu64r8CftxAF0tL+kuMaYSkDcPzeSRwXMzpNpKWk3R9jH+UpK2i/nYVj+lYSYt3RHYVj/QItXiFl2pQZtdYn/cBX66kL6rigR4Vfe4R6fXP9YqShoVsk2Iu6//tAPga5TdzhwK7d0T+Dsg4g14jfTFJf6w881+J9Lcrdad7vlW8uxdIukvSM6HvS1UiSAZU6uyi4uEfEzpYLNKfk3SaKv8mNZnffUJH4yUNmxkdJEmSJEmSzK3MqdOA7wJOqdyfDTwu6W5gMHCZ7feBx4BtbU+VtBPwv8BXos6WwIa2X1Xxwuxl+02VMNERkgbZdoO+hwKnSHoC+Btwte17Kvmv2N5EJRz3eOCwNuQ4AlgN2Djylq60sxjFYLvc9uVVASTtQvHKbQYIGCRpW4rHcf3wMBNfhHsDGwHLAqMqX0Q3pngknweGUzzV9zXUdh22p0kaD6wt6QNgX2Ar2x9KOh84QCUU9eIY97N1Y6txKMV4AFiJ1h7qycDmcb2C7drLiBckLV+pM6Kuzuw49nB+25tJ+iLwU4r3/FDgDdt9JS0EDJc0NIxkoLyUABYEngaWAV6vGJNV2RqNdSXihcvH5JvA1XE9mGJ0Da7kXwN8R9Jn6+qdBoy1vaekHSjrrbekC4G3bf8qxvZnipf4PkmfoXgo16Gs8aNsDw8D6f0Gsi0iaVxcPxu/j3s5cLTteySdTtHzsbUKkhamrJ8dKC8hrq60dxJwp+1vqnixR0r6W+RVn+v/AYbYPkPlBcqnbL8VBlsP29Oizr7AzsDngO8CrcKBm9GOjDPolfIs/oSyjjaINmYw0huwVPSxO/BXyrN6GOV57k1ZPycDO9l+R9KPgO8Dp0f9Vv8m2T6swfxOBL5g+19qEuIv6QjKv1ms1DNPF02SJEmSZO5njhirtt+V9LqkT9t+3vbpkgYCu1C8JPtTwtyWBC6TtCZgYIFKM7fbrnmwBPxvGHwfUQyHFYB/N+j7bUmbAtsA2wNXSzrB9oAockP8fYgWT0szOXYCLqwZNBV5oITZ/tL2wAYq2CU+Y+N+MYrx+o+6clsDV8aX8hcl3QP0Bd4ERkbIKGFI9KKDxmpQ88TuCGxK+eIMsAjFu7gFMKxmzNWNDUnbUwzArevaq9LoZUEjGWamTkeozmGvuN4F2FAt+ymXpOj8WQAVz+gVwEG2P5Iaeqprss1WuSWdBEwFamvlXuCXdcWmAf2BE2l5QQBF/18BsH2npGUkLdmgm52AdSvDWkLFizoc+HU8fzfU1lQd79VeoIS8SwI9Ky95LgOurauzNsWwfTLq/IkwlChzsbuk4+N+YeAzcV19rkcBl6rsb/+L7XGRPpLyoucBSX2Bl23/XdLkKL9UxfvfFm3J2EyvO1FC14m8jvTzV9sOg/JF2xOjv4cp63NlSuj88JifBYEHKvUb/ZtUz3BggKRrKuVbYfsiImx/o5U3mh3PWZIkSZIkSacyJ08DbrX3zPbTti+gGE8bSVqGsifyLtvrA/+P8qW2xjuV6wOA5YBN40v1i3VlWxGhxnfb/inFE/OVSvaU+DuNFmO9mRyiuZEyHNitidEj4BeVPYCftf2HJuWaMaVyXZW1XcJLtQHwaPRxWUWWz9k+lTbGphISeQmwh+3/RPJkYJVKsZUpXl8ohvaKUXdFijHcXp22mErrtVk/143mUBRPYG2cq9keGjItAdwCnBxhvQCvUMJ7a/Wrsn1cuWdA0kGUPdQH1CIBIox6sqTV64pfAWxLi2FXG1c9jeZtPmDLyvhXsv2W7TMpXr5FKBEJa3+ccTSh2bMh4CsVWT5j+9HIm/5cR0j1tsC/gCskfSOyBlP2DUN5sbW2pOcoHvElaP08z4qMjco2ey6qac3W40e0fm4/oqxPUYz0mj7WtX1og/pNn3PbR1K8s6sA4+LfzyRJkiRJkm7NnDRWp+89k/SlilG3JuVL2esU71ftl+sPbqOtJYGXIox1e2DVZgUlfS48pDV6A39vR9ZmcgwFjqwZNHWhsqcA/wHOb9DeEOCblX1pK0Vo7FtAdc/gMGBflf2Wy1G+uI9sR9Y2CS/VL4B/2p5AOfBo71porspevVUpnp3tJK1WHVuEkN4AHGj7iUrTo4A1VU7QXZDifRoUeYOAg+L6IFoOdxoE7CdpoehnzQ6O70Vg+fB2LUQx9tpjCPDtGD+S1lLZO7kgcCMlfHa6dzAMx7uAmie2Xu5vqLAFJSx0pkOAJe0K/AjY3fa7ddmDqdubaftDSsj8sZXkYZSXNUjqRwkZfZMZ19JQyouZWt+94+8atifaPgsYTfE2tontN4DXFPuBgQOBe+qKPQasJmmNuN+/kjeEsjdcIcPGjfqJdfiS7YuBPwC1U5f/BuwoaT5gH0rYcC/bvSj7ifdv1F4D2pKxmV7r9VgLA35R0joh014d7L/GCGArRYi3pE9JWqudOq3mN+bxQdunUF60rNK0ZpIkSZIkSTdhjhmr4UlZK7x8B1L2rI6jeI8OiNDXXwK/kDQcaOuU2IGU01JHU75gPtZG2cUoIb2PSJpACb87tR1xm8lxCSV0d4LKHtCv1dU7FlhYUquQzvDo/ZkSxjiRcojP4uGlHK5yUEp/ihE1ARgP3An80PYMoc0dZGCMdxKwKHH4kcthVidTDrSZQDmhdkXbL1NCIm+IsdX2851C2c95vsrhLqOjnamUL/FDKB7ba2w/HHXOBHaW9CRlb+GZUedhyl7MRyjG2VGVfYiNmB+YEkbb6cCDwM20Pd81Lol+xqgczvT7aO+rlJcAB6vloKHeUedHwPclPRVjrnm/bwWeoexzvJjKCc4qP5/yAPA5SZMlVT1k9ZxLMThuj34vrOQ1OkiIkKHqXTuVsvYnUPRaeynwV2CvaHcb4JhaOUmPUA7oATg21tt44D1ahxi3xUFA/+i3Ny37KwFw2XN+BHCLyuFF1RdCP6OE0k+IufhZkz76UbyEYyne0t9G228CH0Tav2z/q1JnGCXcecX2BtCOjKfSWK8/B5aq6Gz7SD+BshbvZCb3LsezdjBwZfQ3gvZfGtTPb3+VA5gmUXQwfmZkSJIkSZIkmRuRG55RNJsaL1/Or7A9fI51knQLwrM8zvY8czKMpIeAzztOrk5aUPkd33822ROetMNGK2/kwcfc2tliJEnSAVb84Tzz316SJElDJD1ku0+jvDl1GjAwfZ9VkrSJpN0p3u0TO1uWTxLbm3a2DF2V2GubJEmSJEmSzMPMUWN1ThIHjNzRIGvHyqFA3QpJN1J+SqfKj2wP6Qx5Pi6SHgQWqkvep3aK6tyGpPMoP1dS5be2/9gZ8iTJAv+1QHprkiRJkiSZ65lrjdUwSHt3thyfJC6/fznXY3vz9kvNPdg+qrNlSJIkSZIkSZLuxpw8DThJkiRJkiRJkiRJPhZzrWc1SZIkacyHL77Li795qLPFSJJ5nhWOzaMJkiRJZoX0rCZJkiRJkiRJkiRdjjRWkyRJkiRJkiRJki5HGqtJkiRJkiRJkiRJlyON1U5C0hhJC1TuB0h6VtJ4SU9IulxSl/jtCUkHS3pZ0rj4XN7ZMlWRdKqkf4VsT0q6QdK6H7Ot3pIekPSwpAmS9q3krSbpwejjakkLRroknSPpqaizSaXOrpIej7wTIu3kunb7SbKk/1dJu1lSv3ZkPVbSpz7OOOvaman5lfR2k/QBkvaeRVlWlnRbg/SNQ0dfaCSLpF6SJnWg/VmW8ZNids1vkiRJkiTJ3Eoaq53H/cz425w/sL0R8DlgLHBXzSDqCJJ6tHU/i1xtu3d8vtFBeWbrAV7ttHd2yLYmcDVwp6TlPkY37wLfsL0esCvwG0k9I++s6GdN4DXg0EjfDVgzPkcAF4S8PYDzIn9dYP8wogdHWpXJwEkzKeuxwOwyZmZ6fmeVRvNpezKwrKRF6rL2B+6Lv/MKxzL75jdJkiRJkmSuI43VzuM2ijE0Ay6cDfybMGokXSBpdHj8TquVlfScpFMk3Qfs0+B+l/AUjpF0raTFKvVOi/SJktaeGeEl/b/wMo6V9DdJK0T6qZIukjQUuDzuL5M0NPr8sqRfRp+Da95lSZtKukfSQ5KGSFox0u+W9L+S7gG+1xHZbF8NDAW+1k7bnw3Zx4ce1rD9hO0no53ngZeA5SQJ2AG4Lrq5DNgzrvcALo95GwH0jD42A56y/YztD4CrouxDwMbRZo3xwBuSdm6g6x1DzxMlXSppIUnHAJ+mvNC4K8o1m+szJT2i4vX9VUd0GPW+L2lSfI5tkC9J50bbtwDLV/I6NJ+S9on2x0saFtXvBrar9gPsDRwM7CJp4ZkYQ1syzqDXSO8r6f6QaaSkxVW8z+dW6k73fEt6W9JZMda/SdosxvmMpN2jTA9J/SWNinn4VqT3i7LXSXpM0sCQudX8Rv0BoauJko5rMNYjVP6NGP3qO691VEVJkiRJkiRdljRWO4+7gO3bKTMGqBmRJ9nuA2wIbCdpw0q5921vbfuq6j3wN+BkYCfbmwCjge9X6r0S6RcAx7cjy75qCRM9hOLl2sL2xhQj7IeVspsCe9j+WtyvAXyJYqj9CbjL9gbAe8CXVAzW3wF7294UuBQ4o9JeT9vb2f6/dmSsMgZYu522BwLnhTf788AL1QYkbQYsCDwNLAO8bntqZE8GamHaKwH/rFSt5TVMt21gAtC7TuafU+arKsPCwABg39DZ/MC3bZ8DPA9sb3t7ScvSYK4lLQ3sBaxne8PooxGt5lfSpsAhwObAFsDhkjauq7MXJQpgA+Bwig6Zyfk8BfhCzMHukV/ved4KeNb20xRD9otNxtCIZjI21KtKJMPVwPdCpp0o67QtFgXujrG+RdHxztH36VHmUOAN232BvhR9rhZ5G1O8qOsCqwNb1c8vZa2sZHv9kPeP9ULYvsh2H9t9ll50qY5rKEmSJEmSpIuSv7PaSdh+V9Lrkj4dHrxGVD1vX5V0BGXOVqR8sZ0QeVfX1avdbxHlhocTb0HggUq5G+LvQ8CX2xH5atvfnS6YtAFwdXjMFgSerZQdZLv6Bf822x9Kmgj0oBgjABOBXhRjYn3g9pCzB60Nx/rxdYSa7hq2LWlxypf/GwFsv9+qchnXFcBBtj8K7149ruurPq+tOjXP+tjpGfa9kpC0TaX85yiG2hNxfxlwFPCbunabzfWbwPvAJeFZvLmBTDDj/H4PuNH2O3F/A7BNVV5gW+BK29OA5yXdWZG5o/M5HBgg6Rpa1uO9wC8rZfanvBAh/h5YKdsebcnYSK93AC/YHgVg+80Yf1t9fEDrNT2lst57RfouwIZq2S+7JCVs/ANgZIQ/I2lc1Lmvro9ngNUl/Q64hRI5kCRJkiRJ0q1JY7VzGUIxWC5tkr8xcEd4YI4H+tp+TdIAoBoK+U5dvdq9gNttN9vnNyX+TmPm18LvgF/bHhThkKe2Ic8UgDD6PgzPIsBH0a+Ah21v2aSv+vY6wsYU72LDtiUt0axi5N0CnBxhvQCvUMJ75w/v6soUzxcUj+kqlSZqeQs2SYdibFwL/KKu+zMoe1drHtw2raSq2DSZ6/AQ7wjsB3yXEs7ckfY6ghukdXg+bR8paXOK532cpN62/yNpsqTVgb8DXwF2l3RStL2MpMVtvzWLMjZCTcpPpXUkSvX5q1/T1fVee64EHG17SKvOyrMzpZLU8FmM534j4AsUo/qrwDebjCFJkiRJkqRbkGHAnUvDfauVPWsrUjw2S1C+4L+hsje0/nCeZowAtpL02Wj3U5LWmi2SF8/Qv+L6oFls63HKvtAtoYSRSlrv4zYm6SsUT9aVzdoOj9lkSXtG+kKhnwWBGyl7UK+ttRnGyF2UvZNQxnxTXA8CvhHztgUl3PMFYBSwpsopwgtSjMVB0d4rwAKSlqzKbnsosBSwUSQ9BvSqzSHFq3hPXL8FLB7XDedaZd/qkrZvpYSa9u6gGocBe0Y7i1JCWu9tUGa/2E+5Ii1h7R2eT5V9wg/aPoXyQqBm3A+mPBs7AeNtr2K7l+1Vgetp2S/ckXE0krGZXh8DPi2pb8i3eBiczwG9Jc0naRXKfuSZYQglzLi2R3ut0GtbTJ/fCPOez/b1wE+ATdqqmCRJkiRJ0h1Iz2onYvvR+NJaO7W3v6SfUE4AHUHZr/YBMF7SWOBhSjjg8A62/7Kkg4ErFYfHUPY1PtG8Voc5FbhW0r9C1tXaLt4c2x9EeOQ5YbzNTwlzfXgmmjlO0tcp+wcnATvYfhmgjbYPBH4v6XTgQ2Afyp7GbSneu4Oj7YNtjwN+BFwl6eeUcNg/RP6tlH2UT1FOEz4kxjVV0ncphkoP4FLb1THdQTHG/lM3ljMIQ9j2+yp7hK8No2kUcGGUuwi4TdILsW/1YGac67eAm2KPpoAZDuZphO0x4cEfGUmX2B5bV+xGipd2ImVN3RN1Z2Y++0taM2S7g3LQFJQXOecAr0Y/Va4Hvk0J026PZjI21GvIvi/wO5UTid+jzNFwSqj7RMr6GtOBvqtcQgnvHRMh5S/TvsE9fX4pLxr+KKn2gvHEmew/SZIkSZJkrkMt0WtJZyDpQuAK2x0yQJPuQ3hhD7V9eGfL0hWR9BDwedtT2i2ctGKjVdb10P/piC2fJMmcZIVjN+1sEZIkSbo8kh6Kg2RnzEtjNUmSpHvRp08fjx49urPFSJIkSZIkaZe2jNUMA06mE2GR9b9lOtz2UZ0hTz1xwM4+dcnX2j6jUfkkSZIkSZIkSeZe0rOaJEnSzUjPapIkSZIkcwvpWU2SJJmHmPrSm7x0bv4Ua5LMKst/d5fOFiFJkmSeJn+6JkmSJEmSJEmSJOlypLGaJEmSJEmSJEmSdDnSWE2SJEmSJEmSJEm6HGmsJp8oksZIWiCuz5M0TtIjkt6L63GS9u4Eue6W1HBj9yfQd68Y/1hJj0oaKemgWWhvoKTHJU2SdGlF35J0jqSnJE2QtEmlzq5R5ylJJ1TSl5Z0u6Qn4+9SklaWdFtdn89Jur5yv7ekAe3I2U/S5z/uOOvamlZZP+Mk9Wqj7IBGayzkuXk2yHK7pP+q3H8u1te4mN+LZqHtYyV9alZlTJIkSZIkmRtIYzX5pLkf2ArA9lG2ewNfBJ623Ts+13WmgJ3E07Y3tr0OsB9wXPyU0MdhILA2sAGwCHBYpO8GrBmfI4ALACT1AM6L/HWB/SWtG3VOAO6wvSZwB3CC7cnAspIWqeu3j6T1ZkLOfsBsMVaB9yrrp7ft52ZTu02R1OyAuiHArpX7c4CzQ651gN/NQrfHAmmsJkmSJEkyT5DGavJJcxutv8i3IryM94YHdkzN8xZer7slXSfpsfAeStKOkm6s1N9Z0g1xfYGk0ZIelnRaRwWUtL+kieGZPKuS/rakMySNlzRC0gqRvpyk6yWNis9Wkb5dxdM3VtLiHenf9jPA94Fjop1Fw0M6KtrZI9J7SPpVyDpB0tFR/1YHwEhg5Wh6D+DyyBoB9JS0IrAZ8JTtZ2x/AFwVZWt1Lovry4A94/puYLs60X8F/LiBPpeW9JeQcYSkDcPzeSTFKB8naZvZrUdJvaO/CZJulLRUgzK7xnq6D/hyJb2Zzg+WdK2kvwJDJa0oaVjINknSNsy4xlcEJtdubE+MtnpI6h99TJD0rUhvttaPAT4N3CXpro7oIEmSJEmSZG4mjdXkk+YuYPs28l8Cdra9CbAvxStVY2OKZ2ldYHWKh/ZOYB1Jy0WZQ4A/xvVJ8ZtNGwLbSdqwPeEkfRo4C9gB6A30lbRnZC8KjLC9ETAMODzSf0vxnPUFvgJcEunHAzXv8TbAe+31X2EMxTsKcBJwZ7S/PdBf0qIU7+hqwMa2N6R4VKtjWQA4EBgcSSsB/6wUmRxpzdIBVrD9AkD8XT7SB1M8sVWuATaR9Nm69NOAsSHjjykG83PAhbR4HO9l1vS4SMWgrb28uBz4UfQ7EfhpnX4WBi4G/l+0+1+V7GY6B9gSOMj2DsDXgCEh20bAONsPA2uHxxrgbOBOSbdJOk5Sz0g/FHgj+ugLHC5ptcibYa3bPgd4Htje9gzPkKQj4uXM6P+8/UYDFSVJkiRJksxdpLGafKLYfhd4PYzCRiwAXCxpInAt5ct6jZG2J9v+CBgH9Arv4RXA18MI2JLi2QL4qqQxwFhgvbq2mtEXuNv2y7anUgzAbSPvA6C2p/EhoFdc7wScK2kcMAhYIrx/w4Ffh0esZ7TXUVS53gU4Idq/G1gY+Ez0e2GtXduv1rVxPjAsDMH6Nmu4jfS2uBfYui5tGtAfOLEufWvKHGH7TmAZSUs2aHNW9FgNA94r2u9p+57Iv4yWeayxNvCs7SdjHf2pktdM5wC3V3Q9CjhE0qnABrbfivSRFI81tv8IrENZz/2AEZIWij6+EX08CCxDCdGGBmu9wZhbYfsi231s91lmsUbqTZIkSZIkmbtotucqSeYktT19lzbIOw54keKlmg94v5I3pXI9jZb1+0fgr1H2WttTw0N1PNDX9msqh/0s3AHZGhluNT4Mo6a+//mALW3Xe/zOlHQLZU/uCEk72X6sAzJA8aw9WpHpK7YfbyWoJJoYlZJ+CiwHfKuSPBlYpXK/MsVTt2CTdIAXJa1o+4UIGX4JwPYHkiZLWj3ClmtcQTFWH66K00DERnLPCT22RzOjvJnONwfemV7ZHiZpW+BLwBWS+tu+nBbP8wNR7nnKer9U0iRg/ejjaNtD6vroR/O1niRJkiRJMs+QntWkM2hr3+qSwAvhUToQ6NGk3HTCEHgeOBkYEMlLUIyKN1T2ltaHrDbjQUrI8LIRxrk/cE87dYYC363dSOodf9ewPdH2WcBoWsJ62yT2c/6KloN4hgBHh3GKpI0r/R6pOOhH0tLx9zDgC8D+occagyiePEnaghKC+gLFO7impNUkLUg54GlQpU7tZOKDgJsq7Q2mbh5tf0gJez22kjwMOCBk6we8YvtN4C2guv90tunR9hvAa7GHFMpaqp/Hx4DVJK0R9/tX8prpvBWSVgVesn0x8AegdsLy34Ado8yuajmR+b8oHtR/RR/fruStVQk1bka9zpIkSZIkSbotaawmnzi2HwXWquzpq3I+cJCkEcBaVLxY7TAQ+KftR6KP8ZTw34cpHq3h7dSfH5gSxtuJlL2144Extm9qs2Y5CKlPHJLzCOXgIIBj49Cd8ZR9lrc1bQHWiIN8HqXs/fxdhI8C/IwSHj0hvHI/i/RLgH9E+njK/kkoe0FXAB6IPZynRPqtwDPAU5S9mt8BiLDa71KMp0eBa2LfJcCZwM6SngR2jvsazV46/IHWnsBTa/qJ+jXj96/AXiHjNswePVY5iLLXdAJl//Hp1Uzb71P2/d6icsDS3yvZzXReTz9gnKSxlH22v4223wQ+iL3UuwA1+YcAP7D9b8r8PQKMiT5+T/se1IuA2/KApSRJkiRJ5gXUEtWYJJ8cki4ErrDdnhHZ0fbOpRzi84ePUXchigG3fnjkkg4i6SHg87antFt4HkPl92r/aXtgu4VnM70/s5aH/vDcT7rbJOl2LP/dXTpbhCRJkm6PpIfiUNQZ89JYTeZ2wmB6h3KK8EwZTZL6UPZZXm77F3NCviT5pOnTp49Hjx7d2WIkSZIkSZK0S1vGah7akcz12N60o2XjZ01Wq0s+tv6QmzmBpA2IU3ErTLG9+ZzuO0mSJEmSJEnmNtKzmiRJ0s2Q9BbweLsFk2YsC7zS2ULMxaT+Zo3U36yR+ps1Un+zRurv47Gq7eUaZaRnNUmSpPvxeLNwmqR9JI1O/X18Un+zRupv1kj9zRqpv1kj9Tf7ydOAkyRJkiRJkiRJki5HGqtJkiRJkiRJkiRJlyON1SRJku7HRZ0twFxO6m/WSP3NGqm/WSP1N2uk/maN1N9sJg9YSpIkSZIkSZIkSboc6VlNkiRJkiRJkiRJuhxprCZJknQTJO0q6XFJT0k6obPl6SpIulTSS5ImVdKWlnS7pCfj71KVvBNDh49L+kIlfVNJEyPvHEn6pMfSGUhaRdJdkh6V9LCk70V66rADSFpY0khJ40N/p0V66m8mkNRD0lhJN8d96q+DSHouxj1O0uhIS/11EEk9JV0n6bH4d3DL1N8nRxqrSZIk3QBJPYDzgN2AdYH9Ja3buVJ1GQYAu9alnQDcYXtN4I64J3S2H7Be1Dk/dAtwAXAEsGZ86tvsrkwF/sf2OsAWwFGhp9Rhx5gC7GB7I6A3sKukLUj9zSzfAx6t3Kf+Zo7tbfeu/KxK6q/j/BYYbHttYCPKOkz9fUKksZokSdI92Ax4yvYztj8ArgL26GSZugS2hwGv1iXvAVwW15cBe1bSr7I9xfazwFPAZpJWBJaw/YDLYQ+XV+p0a2y/YHtMXL9F+aK2EqnDDuHC23G7QHxM6q/DSFoZ+BJwSSU59TdrpP46gKQlgG2BPwDY/sD266T+PjHSWE2SJOkerAT8s3I/OdKSxqxg+wUoxhiwfKQ30+NKcV2fPk8hqRewMfAgqcMOEyGs44CXgNttp/5mjt8APwQ+qqSl/jqOgaGSHpJ0RKSl/jrG6sDLwB8jDP0SSYuS+vvESGM1SZKke9Bo70se9z7zNNPjPK9fSYsB1wPH2n6zraIN0uZpHdqeZrs3sDLFy7J+G8VTfxUk/Tfwku2HOlqlQdo8q79gK9ubULaJHCVp2zbKpv5aMz+wCXCB7Y2Bd4iQ3yak/mYzaawmSZJ0DyYDq1TuVwae7yRZ5gZejLAs4u9Lkd5Mj5Pjuj59nkDSAhRDdaDtGyI5dTiTRPjg3ZS9aqm/jrEVsLuk5yjbG3aQ9CdSfx3G9vPx9yXgRsq2kdRfx5gMTI5oCIDrKMZr6u8TIo3VJEmS7sEoYE1Jq0lakHLAw6BOlqkrMwg4KK4PAm6qpO8naSFJq1EOwRgZYV5vSdoiTnD8RqVOtybG+wfgUdu/rmSlDjuApOUk9YzrRYCdgMdI/XUI2yfaXtl2L8q/a3fa/jqpvw4haVFJi9eugV2ASaT+OoTtfwP/lPS5SNoReITU3yfG/J0tQJIkSTLr2J4q6bvAEKAHcKnthztZrC6BpCuBfsCykiYDPwXOBK6RdCjwD2AfANsPS7qG8mVkKnCU7WnR1LcpJwsvAtwWn3mBrYADgYmx7xLgx6QOO8qKwGVxIuh8wDW2b5b0AKm/WSHXX8dYAbgxfiVlfuDPtgdLGkXqr6McDQyMF8HPAIcQz3Lqb86jciBVkiRJkiRJkiRJknQdMgw4SZIkSZIkSZIk6XKksZokSZIkSZIkSZJ0OdJYTZIkSZIkSZIkSbocaawmSZIkSZIkSZIkXY40VpMkSZIkSZIkSZIuRxqrSZIkSZIk8xiS/kvSVZKelvSIpFslrTUb2+8n6fOzq70kSeZN0lhNkiRJkiSZh1D50c0bgbttr2F7Xcpv564wG7vpB6SxmiTJLJHGapIkSZIkybzF9sCHti+sJdgeB9wnqb+kSZImStoXpntJb66VlXSupIPj+jlJp0kaE3XWltQLOBI4TtI4Sdt8gmNLkqQbMX9nC5AkSZIkSZJ8oqwPPNQg/ctAb2AjYFlglKRhHWjvFdubSPoOcLztwyRdCLxt+1ezS+gkSeY90rOaJEmSJEmSAGwNXGl7mu0XgXuAvh2od0P8fQjoNYdkS5JkHiSN1SRJkiRJknmLh4FNG6SrSfmptP7OuHBd/pT4O42M2kuSZDaSxmqSJEmSJMm8xZ3AQpIOryVI6gu8BuwrqYek5YBtgZHA34F1JS0kaUlgxw708Raw+OwXPUmSeYl8+5UkSZIkSTIPYduS9gJ+I+kE4H3gOeBYYDFgPGDgh7b/DSDpGmAC8CQwtgPd/BW4TtIewNG2753d40iSpPsj250tQ5IkSZIkSZIkSZK0IsOAkyRJkiRJkiRJki5HGqtJkiRJkiRJkiRJlyON1SRJkiRJkiRJkqTLkcZqkiRJkiRJkiRJ0uVIYzVJkiRJkiRJkiTpcqSxmiRJkiRJkiRJknQ50lhNkiRJkiRJkiRJuhxprCZJkiRJkiRJkiRdjv8PBjz6dWFbURQAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualize top 20 folder name\n",
    "plt.figure(figsize=(10,6))\n",
    "sns.barplot(x='Count',y='Folder_name',data=unique_emails.iloc[:20,:])\n",
    "plt.title(\"Top 20 Folder\")\n",
    "plt.xlabel('Count')\n",
    "plt.ylabel(\"Folder name \")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "61ddcb6b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-15T11:42:01.430629Z",
     "iopub.status.busy": "2023-04-15T11:42:01.429575Z",
     "iopub.status.idle": "2023-04-15T11:42:01.478662Z",
     "shell.execute_reply": "2023-04-15T11:42:01.477505Z"
    },
    "papermill": {
     "duration": 0.064627,
     "end_time": "2023-04-15T11:42:01.480893",
     "exception": false,
     "start_time": "2023-04-15T11:42:01.416266",
     "status": "completed"
    },
    "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>Employee Name</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>kaminski-v</td>\n",
       "      <td>28465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>dasovich-j</td>\n",
       "      <td>28234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>kean-s</td>\n",
       "      <td>25351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>mann-k</td>\n",
       "      <td>23381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>jones-t</td>\n",
       "      <td>19950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>shackleton-s</td>\n",
       "      <td>18687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>taylor-m</td>\n",
       "      <td>13875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>farmer-d</td>\n",
       "      <td>13032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>germany-c</td>\n",
       "      <td>12436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>beck-s</td>\n",
       "      <td>11830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>symes-k</td>\n",
       "      <td>10827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>nemec-g</td>\n",
       "      <td>10655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>scott-s</td>\n",
       "      <td>8022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>rogers-b</td>\n",
       "      <td>8009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>bass-e</td>\n",
       "      <td>7823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>sanders-r</td>\n",
       "      <td>7329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>campbell-l</td>\n",
       "      <td>6490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>shapiro-r</td>\n",
       "      <td>6071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>guzman-m</td>\n",
       "      <td>6054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>lay-k</td>\n",
       "      <td>5937</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Employee Name  Count\n",
       "0     kaminski-v  28465\n",
       "1     dasovich-j  28234\n",
       "2         kean-s  25351\n",
       "3         mann-k  23381\n",
       "4        jones-t  19950\n",
       "5   shackleton-s  18687\n",
       "6       taylor-m  13875\n",
       "7       farmer-d  13032\n",
       "8      germany-c  12436\n",
       "9         beck-s  11830\n",
       "10       symes-k  10827\n",
       "11       nemec-g  10655\n",
       "12       scott-s   8022\n",
       "13      rogers-b   8009\n",
       "14        bass-e   7823\n",
       "15     sanders-r   7329\n",
       "16    campbell-l   6490\n",
       "17     shapiro-r   6071\n",
       "18      guzman-m   6054\n",
       "19         lay-k   5937"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# top email sender employees\n",
    "emp_data = pd.DataFrame(df['Employee'].value_counts())\n",
    "emp_data.reset_index(inplace=True)\n",
    "\n",
    "emp_data.columns =['Employee Name','Count']\n",
    "emp_data.iloc[:20,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "4f4245a9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-15T11:42:01.507313Z",
     "iopub.status.busy": "2023-04-15T11:42:01.506937Z",
     "iopub.status.idle": "2023-04-15T11:42:01.788127Z",
     "shell.execute_reply": "2023-04-15T11:42:01.786652Z"
    },
    "papermill": {
     "duration": 0.297132,
     "end_time": "2023-04-15T11:42:01.790323",
     "exception": false,
     "start_time": "2023-04-15T11:42:01.493191",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualize top 20 emails sender employee\n",
    "plt.figure(figsize=(10,6))\n",
    "sns.barplot(x='Count',y='Employee Name',data=emp_data.iloc[:20,:])\n",
    "plt.title(\"Top 20 Emails Sender Emails\")\n",
    "plt.xlabel(\"Count\")\n",
    "\n",
    "plt.ylabel(\"Emplyree Name\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "b47fe55e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-15T11:42:01.823866Z",
     "iopub.status.busy": "2023-04-15T11:42:01.823329Z",
     "iopub.status.idle": "2023-04-15T11:42:01.841008Z",
     "shell.execute_reply": "2023-04-15T11:42:01.839221Z"
    },
    "papermill": {
     "duration": 0.03854,
     "end_time": "2023-04-15T11:42:01.843971",
     "exception": false,
     "start_time": "2023-04-15T11:42:01.805431",
     "status": "completed"
    },
    "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>file</th>\n",
       "      <th>message</th>\n",
       "      <th>Date</th>\n",
       "      <th>Subject</th>\n",
       "      <th>X-From</th>\n",
       "      <th>X-To</th>\n",
       "      <th>X-Folder</th>\n",
       "      <th>body</th>\n",
       "      <th>Employee</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>allen-p/_sent_mail/1.</td>\n",
       "      <td>Message-ID: &lt;18782981.1075855378110.JavaMail.e...</td>\n",
       "      <td>14-05-2001 16:39:00</td>\n",
       "      <td></td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>Tim Belden &lt;Tim Belden/Enron@EnronXGate&gt;</td>\n",
       "      <td>\\Phillip_Allen_Jan2002_1\\Allen, Phillip K.\\'Se...</td>\n",
       "      <td>Here is our forecast\\n\\n</td>\n",
       "      <td>allen-p</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>allen-p/_sent_mail/10.</td>\n",
       "      <td>Message-ID: &lt;15464986.1075855378456.JavaMail.e...</td>\n",
       "      <td>04-05-2001 13:51:00</td>\n",
       "      <td>Re:</td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>John J Lavorato &lt;John J Lavorato/ENRON@enronXg...</td>\n",
       "      <td>\\Phillip_Allen_Jan2002_1\\Allen, Phillip K.\\'Se...</td>\n",
       "      <td>Traveling to have a business meeting takes the...</td>\n",
       "      <td>allen-p</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>allen-p/_sent_mail/100.</td>\n",
       "      <td>Message-ID: &lt;24216240.1075855687451.JavaMail.e...</td>\n",
       "      <td>18-10-2000 03:00:00</td>\n",
       "      <td>Re: test</td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>Leah Van Arsdall</td>\n",
       "      <td>\\Phillip_Allen_Dec2000\\Notes Folders\\'sent mail</td>\n",
       "      <td>test successful.  way to go!!!</td>\n",
       "      <td>allen-p</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      file                                            message  \\\n",
       "0    allen-p/_sent_mail/1.  Message-ID: <18782981.1075855378110.JavaMail.e...   \n",
       "1   allen-p/_sent_mail/10.  Message-ID: <15464986.1075855378456.JavaMail.e...   \n",
       "2  allen-p/_sent_mail/100.  Message-ID: <24216240.1075855687451.JavaMail.e...   \n",
       "\n",
       "                  Date   Subject           X-From  \\\n",
       "0  14-05-2001 16:39:00            Phillip K Allen   \n",
       "1  04-05-2001 13:51:00       Re:  Phillip K Allen   \n",
       "2  18-10-2000 03:00:00  Re: test  Phillip K Allen   \n",
       "\n",
       "                                                X-To  \\\n",
       "0           Tim Belden <Tim Belden/Enron@EnronXGate>   \n",
       "1  John J Lavorato <John J Lavorato/ENRON@enronXg...   \n",
       "2                                   Leah Van Arsdall   \n",
       "\n",
       "                                            X-Folder  \\\n",
       "0  \\Phillip_Allen_Jan2002_1\\Allen, Phillip K.\\'Se...   \n",
       "1  \\Phillip_Allen_Jan2002_1\\Allen, Phillip K.\\'Se...   \n",
       "2    \\Phillip_Allen_Dec2000\\Notes Folders\\'sent mail   \n",
       "\n",
       "                                                body Employee  \n",
       "0                          Here is our forecast\\n\\n   allen-p  \n",
       "1  Traveling to have a business meeting takes the...  allen-p  \n",
       "2                     test successful.  way to go!!!  allen-p  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04d80819",
   "metadata": {
    "papermill": {
     "duration": 0.015373,
     "end_time": "2023-04-15T11:42:01.875224",
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     "start_time": "2023-04-15T11:42:01.859851",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### data cleaning and transformation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "7c32be3a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-15T11:42:01.903083Z",
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     "shell.execute_reply": "2023-04-15T11:42:01.908345Z"
    },
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     "end_time": "2023-04-15T11:42:01.911713",
     "exception": false,
     "start_time": "2023-04-15T11:42:01.888472",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "04-05-2001 13:51:00\n"
     ]
    }
   ],
   "source": [
    "#Date columns\n",
    "from datetime import datetime \n",
    "from dateutil import parser\n",
    "\n",
    "# this is sample example\n",
    "x = parser.parse(\"Fri, 4 May 2001 13:51:00 -0700 (PDT)\")\n",
    "print(x.strftime(\"%d-%m-%Y %H:%M:%S\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "88677a19",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-15T11:42:01.939115Z",
     "iopub.status.busy": "2023-04-15T11:42:01.938739Z",
     "iopub.status.idle": "2023-04-15T11:43:18.565495Z",
     "shell.execute_reply": "2023-04-15T11:43:18.564443Z"
    },
    "papermill": {
     "duration": 76.643028,
     "end_time": "2023-04-15T11:43:18.567787",
     "exception": false,
     "start_time": "2023-04-15T11:42:01.924759",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def change_date_type(data):\n",
    "    column=[]\n",
    "    for date in data:\n",
    "        column.append(parser.parse(date).strftime(\"%d-%m-%Y %H:%M:%S\"))\n",
    "    return column\n",
    "\n",
    "df['Date'] = change_date_type(df['Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "858771f3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-15T11:43:18.594734Z",
     "iopub.status.busy": "2023-04-15T11:43:18.594415Z",
     "iopub.status.idle": "2023-04-15T11:43:18.611484Z",
     "shell.execute_reply": "2023-04-15T11:43:18.610411Z"
    },
    "papermill": {
     "duration": 0.032763,
     "end_time": "2023-04-15T11:43:18.613420",
     "exception": false,
     "start_time": "2023-04-15T11:43:18.580657",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"'Sent Mail\""
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# column  X-Folder\n",
    "x_value =df.loc[1,\"X-Folder\"]\n",
    "# extract last folder name\n",
    "folder_name =x_value.split(\"\\\\\")[-1]\n",
    "folder_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "43abe2b3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-15T11:43:18.640393Z",
     "iopub.status.busy": "2023-04-15T11:43:18.640043Z",
     "iopub.status.idle": "2023-04-15T11:43:18.989847Z",
     "shell.execute_reply": "2023-04-15T11:43:18.988721Z"
    },
    "papermill": {
     "duration": 0.366124,
     "end_time": "2023-04-15T11:43:18.992322",
     "exception": false,
     "start_time": "2023-04-15T11:43:18.626198",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def process_folder_name(folders):\n",
    "    column=[]\n",
    "    for folder in folders:\n",
    "        if folder is None or folder==\"\":\n",
    "            column.append(np.nan)\n",
    "        else:\n",
    "            column.append(folder.split(\"\\\\\")[-1].lower())\n",
    "    return column\n",
    "\n",
    "df['X-Folder']= process_folder_name(df['X-Folder'])            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "6513f49d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-15T11:43:19.020080Z",
     "iopub.status.busy": "2023-04-15T11:43:19.019739Z",
     "iopub.status.idle": "2023-04-15T11:43:19.032834Z",
     "shell.execute_reply": "2023-04-15T11:43:19.031839Z"
    },
    "papermill": {
     "duration": 0.030137,
     "end_time": "2023-04-15T11:43:19.035469",
     "exception": false,
     "start_time": "2023-04-15T11:43:19.005332",
     "status": "completed"
    },
    "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>file</th>\n",
       "      <th>message</th>\n",
       "      <th>Date</th>\n",
       "      <th>Subject</th>\n",
       "      <th>X-From</th>\n",
       "      <th>X-To</th>\n",
       "      <th>X-Folder</th>\n",
       "      <th>body</th>\n",
       "      <th>Employee</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>allen-p/_sent_mail/1.</td>\n",
       "      <td>Message-ID: &lt;18782981.1075855378110.JavaMail.e...</td>\n",
       "      <td>14-05-2001 16:39:00</td>\n",
       "      <td></td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>Tim Belden &lt;Tim Belden/Enron@EnronXGate&gt;</td>\n",
       "      <td>'sent mail</td>\n",
       "      <td>Here is our forecast\\n\\n</td>\n",
       "      <td>allen-p</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>allen-p/_sent_mail/10.</td>\n",
       "      <td>Message-ID: &lt;15464986.1075855378456.JavaMail.e...</td>\n",
       "      <td>05-04-2001 13:51:00</td>\n",
       "      <td>Re:</td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>John J Lavorato &lt;John J Lavorato/ENRON@enronXg...</td>\n",
       "      <td>'sent mail</td>\n",
       "      <td>Traveling to have a business meeting takes the...</td>\n",
       "      <td>allen-p</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>allen-p/_sent_mail/100.</td>\n",
       "      <td>Message-ID: &lt;24216240.1075855687451.JavaMail.e...</td>\n",
       "      <td>18-10-2000 03:00:00</td>\n",
       "      <td>Re: test</td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>Leah Van Arsdall</td>\n",
       "      <td>'sent mail</td>\n",
       "      <td>test successful.  way to go!!!</td>\n",
       "      <td>allen-p</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      file                                            message  \\\n",
       "0    allen-p/_sent_mail/1.  Message-ID: <18782981.1075855378110.JavaMail.e...   \n",
       "1   allen-p/_sent_mail/10.  Message-ID: <15464986.1075855378456.JavaMail.e...   \n",
       "2  allen-p/_sent_mail/100.  Message-ID: <24216240.1075855687451.JavaMail.e...   \n",
       "\n",
       "                  Date   Subject           X-From  \\\n",
       "0  14-05-2001 16:39:00            Phillip K Allen   \n",
       "1  05-04-2001 13:51:00       Re:  Phillip K Allen   \n",
       "2  18-10-2000 03:00:00  Re: test  Phillip K Allen   \n",
       "\n",
       "                                                X-To    X-Folder  \\\n",
       "0           Tim Belden <Tim Belden/Enron@EnronXGate>  'sent mail   \n",
       "1  John J Lavorato <John J Lavorato/ENRON@enronXg...  'sent mail   \n",
       "2                                   Leah Van Arsdall  'sent mail   \n",
       "\n",
       "                                                body Employee  \n",
       "0                          Here is our forecast\\n\\n   allen-p  \n",
       "1  Traveling to have a business meeting takes the...  allen-p  \n",
       "2                     test successful.  way to go!!!  allen-p  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "71e90e40",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-15T11:43:19.063930Z",
     "iopub.status.busy": "2023-04-15T11:43:19.063571Z",
     "iopub.status.idle": "2023-04-15T11:43:19.137498Z",
     "shell.execute_reply": "2023-04-15T11:43:19.136321Z"
    },
    "papermill": {
     "duration": 0.091666,
     "end_time": "2023-04-15T11:43:19.140675",
     "exception": false,
     "start_time": "2023-04-15T11:43:19.049009",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lenghts of unique folder :  1782\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([\"'sent mail\", 'all documents', 'contacts', 'deleted items',\n",
       "       'discussion threads', 'inbox', 'notes inbox', 'sent items', 'sent',\n",
       "       'straw', '2000 conference', 'active international', 'avaya', 'bmc',\n",
       "       'bridge', 'bristol babcock', 'colleen koenig', 'compaq',\n",
       "       'computer associates', 'continental airlines'], dtype=object)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# found unique folder\n",
    "print(\"Lenghts of unique folder : \",len(df['X-Folder'].unique()))\n",
    "# fetch some folder name \n",
    "df['X-Folder'].unique()[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "848681d5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-15T11:43:19.169864Z",
     "iopub.status.busy": "2023-04-15T11:43:19.169511Z",
     "iopub.status.idle": "2023-04-15T11:43:19.406866Z",
     "shell.execute_reply": "2023-04-15T11:43:19.405690Z"
    },
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     "duration": 0.254853,
     "end_time": "2023-04-15T11:43:19.409321",
     "exception": false,
     "start_time": "2023-04-15T11:43:19.154468",
     "status": "completed"
    },
    "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>file</th>\n",
       "      <th>message</th>\n",
       "      <th>Date</th>\n",
       "      <th>Subject</th>\n",
       "      <th>X-From</th>\n",
       "      <th>X-To</th>\n",
       "      <th>X-Folder</th>\n",
       "      <th>body</th>\n",
       "      <th>Employee</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>allen-p/_sent_mail/1.</td>\n",
       "      <td>Message-ID: &lt;18782981.1075855378110.JavaMail.e...</td>\n",
       "      <td>14-05-2001 16:39:00</td>\n",
       "      <td></td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>Tim Belden &lt;Tim Belden/Enron@EnronXGate&gt;</td>\n",
       "      <td>'sent mail</td>\n",
       "      <td>Here is our forecast\\n\\n</td>\n",
       "      <td>allen-p</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>allen-p/_sent_mail/1000.</td>\n",
       "      <td>Message-ID: &lt;13505866.1075863688222.JavaMail.e...</td>\n",
       "      <td>23-10-2000 06:13:00</td>\n",
       "      <td></td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>Randall L Gay</td>\n",
       "      <td>'sent mail</td>\n",
       "      <td>Randy,\\n\\n Can you send me a schedule of the s...</td>\n",
       "      <td>allen-p</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>allen-p/_sent_mail/1003.</td>\n",
       "      <td>Message-ID: &lt;16254169.1075863688286.JavaMail.e...</td>\n",
       "      <td>22-08-2000 07:44:00</td>\n",
       "      <td></td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>david.l.johnson@enron.com, John Shafer</td>\n",
       "      <td>'sent mail</td>\n",
       "      <td>Please cc the following distribution list with...</td>\n",
       "      <td>allen-p</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>allen-p/_sent_mail/104.</td>\n",
       "      <td>Message-ID: &lt;25459584.1075855687536.JavaMail.e...</td>\n",
       "      <td>13-10-2000 06:45:00</td>\n",
       "      <td></td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>stagecoachmama@hotmail.com</td>\n",
       "      <td>'sent mail</td>\n",
       "      <td>Lucy,\\n\\n Here are the rentrolls:\\n\\n\\n\\n Open...</td>\n",
       "      <td>allen-p</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>allen-p/_sent_mail/107.</td>\n",
       "      <td>Message-ID: &lt;2465689.1075855687605.JavaMail.ev...</td>\n",
       "      <td>10-05-2000 06:26:00</td>\n",
       "      <td></td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>David W Delainey</td>\n",
       "      <td>'sent mail</td>\n",
       "      <td>Dave, \\n\\n Here are the names of the west desk...</td>\n",
       "      <td>allen-p</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>516846</th>\n",
       "      <td>zufferli-j/calendar/1.</td>\n",
       "      <td>Message-ID: &lt;28390332.1075842024763.JavaMail.e...</td>\n",
       "      <td>02-05-2002 09:43:01</td>\n",
       "      <td></td>\n",
       "      <td>Zufferli, John &lt;/O=ENRON/OU=NA/CN=RECIPIENTS/C...</td>\n",
       "      <td></td>\n",
       "      <td>calendar</td>\n",
       "      <td>Conference call with UBS</td>\n",
       "      <td>zufferli-j</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>516853</th>\n",
       "      <td>zufferli-j/deleted_items/1.</td>\n",
       "      <td>Message-ID: &lt;29945908.1075842020454.JavaMail.e...</td>\n",
       "      <td>02-06-2002 11:38:22</td>\n",
       "      <td></td>\n",
       "      <td>Hayden, Frank &lt;/O=ENRON/OU=NA/CN=RECIPIENTS/CN...</td>\n",
       "      <td>Zufferli, John &lt;/O=ENRON/OU=NA/CN=RECIPIENTS/C...</td>\n",
       "      <td>deleted items</td>\n",
       "      <td>Sorry I missed call.  My understanding is that...</td>\n",
       "      <td>zufferli-j</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>517247</th>\n",
       "      <td>zufferli-j/sent_items/269.</td>\n",
       "      <td>Message-ID: &lt;24283319.1075842034234.JavaMail.e...</td>\n",
       "      <td>08-02-2001 10:02:58</td>\n",
       "      <td></td>\n",
       "      <td>Zufferli, John &lt;/O=ENRON/OU=NA/CN=RECIPIENTS/C...</td>\n",
       "      <td>'majordomo@majordomo.pjm'</td>\n",
       "      <td>sent items</td>\n",
       "      <td>unsubscribe pjm-customer-info</td>\n",
       "      <td>zufferli-j</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>517289</th>\n",
       "      <td>zufferli-j/sent_items/308.</td>\n",
       "      <td>Message-ID: &lt;3432160.1075842035153.JavaMail.ev...</td>\n",
       "      <td>07-03-2001 12:31:56</td>\n",
       "      <td></td>\n",
       "      <td>Zufferli, John &lt;/O=ENRON/OU=NA/CN=RECIPIENTS/C...</td>\n",
       "      <td>Lavorato, John &lt;/O=ENRON/OU=NA/CN=RECIPIENTS/C...</td>\n",
       "      <td>sent items</td>\n",
       "      <td>home number is (403) 685-4817</td>\n",
       "      <td>zufferli-j</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>517311</th>\n",
       "      <td>zufferli-j/sent_items/329.</td>\n",
       "      <td>Message-ID: &lt;7014848.1075842036224.JavaMail.ev...</td>\n",
       "      <td>20-06-2001 13:17:46</td>\n",
       "      <td></td>\n",
       "      <td>Zufferli, John &lt;/O=ENRON/OU=NA/CN=RECIPIENTS/C...</td>\n",
       "      <td>Postlethwaite, John &lt;/O=ENRON/OU=NA/CN=RECIPIE...</td>\n",
       "      <td>sent items</td>\n",
       "      <td>Please give Enpower access to Murray Fichten, ...</td>\n",
       "      <td>zufferli-j</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19187 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               file  \\\n",
       "0             allen-p/_sent_mail/1.   \n",
       "3          allen-p/_sent_mail/1000.   \n",
       "6          allen-p/_sent_mail/1003.   \n",
       "11          allen-p/_sent_mail/104.   \n",
       "14          allen-p/_sent_mail/107.   \n",
       "...                             ...   \n",
       "516846       zufferli-j/calendar/1.   \n",
       "516853  zufferli-j/deleted_items/1.   \n",
       "517247   zufferli-j/sent_items/269.   \n",
       "517289   zufferli-j/sent_items/308.   \n",
       "517311   zufferli-j/sent_items/329.   \n",
       "\n",
       "                                                  message  \\\n",
       "0       Message-ID: <18782981.1075855378110.JavaMail.e...   \n",
       "3       Message-ID: <13505866.1075863688222.JavaMail.e...   \n",
       "6       Message-ID: <16254169.1075863688286.JavaMail.e...   \n",
       "11      Message-ID: <25459584.1075855687536.JavaMail.e...   \n",
       "14      Message-ID: <2465689.1075855687605.JavaMail.ev...   \n",
       "...                                                   ...   \n",
       "516846  Message-ID: <28390332.1075842024763.JavaMail.e...   \n",
       "516853  Message-ID: <29945908.1075842020454.JavaMail.e...   \n",
       "517247  Message-ID: <24283319.1075842034234.JavaMail.e...   \n",
       "517289  Message-ID: <3432160.1075842035153.JavaMail.ev...   \n",
       "517311  Message-ID: <7014848.1075842036224.JavaMail.ev...   \n",
       "\n",
       "                       Date Subject  \\\n",
       "0       14-05-2001 16:39:00           \n",
       "3       23-10-2000 06:13:00           \n",
       "6       22-08-2000 07:44:00           \n",
       "11      13-10-2000 06:45:00           \n",
       "14      10-05-2000 06:26:00           \n",
       "...                     ...     ...   \n",
       "516846  02-05-2002 09:43:01           \n",
       "516853  02-06-2002 11:38:22           \n",
       "517247  08-02-2001 10:02:58           \n",
       "517289  07-03-2001 12:31:56           \n",
       "517311  20-06-2001 13:17:46           \n",
       "\n",
       "                                                   X-From  \\\n",
       "0                                         Phillip K Allen   \n",
       "3                                         Phillip K Allen   \n",
       "6                                         Phillip K Allen   \n",
       "11                                        Phillip K Allen   \n",
       "14                                        Phillip K Allen   \n",
       "...                                                   ...   \n",
       "516846  Zufferli, John </O=ENRON/OU=NA/CN=RECIPIENTS/C...   \n",
       "516853  Hayden, Frank </O=ENRON/OU=NA/CN=RECIPIENTS/CN...   \n",
       "517247  Zufferli, John </O=ENRON/OU=NA/CN=RECIPIENTS/C...   \n",
       "517289  Zufferli, John </O=ENRON/OU=NA/CN=RECIPIENTS/C...   \n",
       "517311  Zufferli, John </O=ENRON/OU=NA/CN=RECIPIENTS/C...   \n",
       "\n",
       "                                                     X-To       X-Folder  \\\n",
       "0                Tim Belden <Tim Belden/Enron@EnronXGate>     'sent mail   \n",
       "3                                           Randall L Gay     'sent mail   \n",
       "6                  david.l.johnson@enron.com, John Shafer     'sent mail   \n",
       "11                             stagecoachmama@hotmail.com     'sent mail   \n",
       "14                                       David W Delainey     'sent mail   \n",
       "...                                                   ...            ...   \n",
       "516846                                                          calendar   \n",
       "516853  Zufferli, John </O=ENRON/OU=NA/CN=RECIPIENTS/C...  deleted items   \n",
       "517247                          'majordomo@majordomo.pjm'     sent items   \n",
       "517289  Lavorato, John </O=ENRON/OU=NA/CN=RECIPIENTS/C...     sent items   \n",
       "517311  Postlethwaite, John </O=ENRON/OU=NA/CN=RECIPIE...     sent items   \n",
       "\n",
       "                                                     body    Employee  \n",
       "0                               Here is our forecast\\n\\n      allen-p  \n",
       "3       Randy,\\n\\n Can you send me a schedule of the s...     allen-p  \n",
       "6       Please cc the following distribution list with...     allen-p  \n",
       "11      Lucy,\\n\\n Here are the rentrolls:\\n\\n\\n\\n Open...     allen-p  \n",
       "14      Dave, \\n\\n Here are the names of the west desk...     allen-p  \n",
       "...                                                   ...         ...  \n",
       "516846                           Conference call with UBS  zufferli-j  \n",
       "516853  Sorry I missed call.  My understanding is that...  zufferli-j  \n",
       "517247                      unsubscribe pjm-customer-info  zufferli-j  \n",
       "517289                      home number is (403) 685-4817  zufferli-j  \n",
       "517311  Please give Enpower access to Murray Fichten, ...  zufferli-j  \n",
       "\n",
       "[19187 rows x 9 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# see subject empty string \n",
    "df[df['Subject']==\"\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "108a65d7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-15T11:43:19.439734Z",
     "iopub.status.busy": "2023-04-15T11:43:19.439390Z",
     "iopub.status.idle": "2023-04-15T11:43:19.863233Z",
     "shell.execute_reply": "2023-04-15T11:43:19.862254Z"
    },
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# replace empty missing value in subject with np.nan\n",
    "def replace_empty_with_nan(subject):\n",
    "    column=[]\n",
    "    for sub in subject:\n",
    "        if sub==\"\":\n",
    "            column.append(np.nan)\n",
    "        else:\n",
    "            column.append(sub)\n",
    "    return column\n",
    "\n",
    "df['Subject'] = replace_empty_with_nan(df['Subject'])\n",
    "df['X-To'] =  replace_empty_with_nan(df['X-To'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "806ace6f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-15T11:43:19.894177Z",
     "iopub.status.busy": "2023-04-15T11:43:19.893832Z",
     "iopub.status.idle": "2023-04-15T11:43:20.314217Z",
     "shell.execute_reply": "2023-04-15T11:43:20.313083Z"
    },
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     "end_time": "2023-04-15T11:43:20.316221",
     "exception": false,
     "start_time": "2023-04-15T11:43:19.879219",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "file            0\n",
       "message         0\n",
       "Date            0\n",
       "Subject     19187\n",
       "X-From         29\n",
       "X-To         9153\n",
       "X-Folder       29\n",
       "body            0\n",
       "Employee        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check missing value in the dataset\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "d44e6f6e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-15T11:43:20.347123Z",
     "iopub.status.busy": "2023-04-15T11:43:20.346243Z",
     "iopub.status.idle": "2023-04-15T11:43:20.770085Z",
     "shell.execute_reply": "2023-04-15T11:43:20.769201Z"
    },
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     "duration": 0.44155,
     "end_time": "2023-04-15T11:43:20.772063",
     "exception": false,
     "start_time": "2023-04-15T11:43:20.330513",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Subject     0.037083\n",
       "X-From      0.000056\n",
       "X-To        0.017690\n",
       "X-Folder    0.000056\n",
       "dtype: float64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# calculate the missing value percentage\n",
    "missing_value= df.isnull().sum()\n",
    "miss =missing_value[missing_value>0]\n",
    "miss_percen = miss/df.shape[0]\n",
    "\n",
    "miss_percen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "cdc7877e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-15T11:43:20.801701Z",
     "iopub.status.busy": "2023-04-15T11:43:20.801364Z",
     "iopub.status.idle": "2023-04-15T11:43:21.328930Z",
     "shell.execute_reply": "2023-04-15T11:43:21.327913Z"
    },
    "papermill": {
     "duration": 0.545207,
     "end_time": "2023-04-15T11:43:21.331304",
     "exception": false,
     "start_time": "2023-04-15T11:43:20.786097",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# drop missing value rows from the dataset\n",
    "df.dropna(axis=0,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "fb1eafbd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-15T11:43:21.361240Z",
     "iopub.status.busy": "2023-04-15T11:43:21.360819Z",
     "iopub.status.idle": "2023-04-15T11:43:21.774235Z",
     "shell.execute_reply": "2023-04-15T11:43:21.773156Z"
    },
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     "end_time": "2023-04-15T11:43:21.776425",
     "exception": false,
     "start_time": "2023-04-15T11:43:21.345364",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "file        0\n",
       "message     0\n",
       "Date        0\n",
       "Subject     0\n",
       "X-From      0\n",
       "X-To        0\n",
       "X-Folder    0\n",
       "body        0\n",
       "Employee    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "21d7db56",
   "metadata": {
    "execution": {
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     "end_time": "2023-04-15T11:43:21.821712",
     "exception": false,
     "start_time": "2023-04-15T11:43:21.790660",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>file</th>\n",
       "      <th>message</th>\n",
       "      <th>Date</th>\n",
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       "      <th>1</th>\n",
       "      <td>allen-p/_sent_mail/10.</td>\n",
       "      <td>Message-ID: &lt;15464986.1075855378456.JavaMail.e...</td>\n",
       "      <td>05-04-2001 13:51:00</td>\n",
       "      <td>Re:</td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>John J Lavorato &lt;John J Lavorato/ENRON@enronXg...</td>\n",
       "      <td>'sent mail</td>\n",
       "      <td>Traveling to have a business meeting takes the...</td>\n",
       "      <td>allen-p</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>allen-p/_sent_mail/100.</td>\n",
       "      <td>Message-ID: &lt;24216240.1075855687451.JavaMail.e...</td>\n",
       "      <td>18-10-2000 03:00:00</td>\n",
       "      <td>Re: test</td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>Leah Van Arsdall</td>\n",
       "      <td>'sent mail</td>\n",
       "      <td>test successful.  way to go!!!</td>\n",
       "      <td>allen-p</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>allen-p/_sent_mail/1001.</td>\n",
       "      <td>Message-ID: &lt;30922949.1075863688243.JavaMail.e...</td>\n",
       "      <td>31-08-2000 05:07:00</td>\n",
       "      <td>Re: Hello</td>\n",
       "      <td>Phillip K Allen</td>\n",
       "      <td>Greg Piper</td>\n",
       "      <td>'sent mail</td>\n",
       "      <td>Let's shoot for Tuesday at 11:45.</td>\n",
       "      <td>allen-p</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       file  \\\n",
       "1    allen-p/_sent_mail/10.   \n",
       "2   allen-p/_sent_mail/100.   \n",
       "4  allen-p/_sent_mail/1001.   \n",
       "\n",
       "                                             message                 Date  \\\n",
       "1  Message-ID: <15464986.1075855378456.JavaMail.e...  05-04-2001 13:51:00   \n",
       "2  Message-ID: <24216240.1075855687451.JavaMail.e...  18-10-2000 03:00:00   \n",
       "4  Message-ID: <30922949.1075863688243.JavaMail.e...  31-08-2000 05:07:00   \n",
       "\n",
       "     Subject           X-From  \\\n",
       "1        Re:  Phillip K Allen   \n",
       "2   Re: test  Phillip K Allen   \n",
       "4  Re: Hello  Phillip K Allen   \n",
       "\n",
       "                                                X-To    X-Folder  \\\n",
       "1  John J Lavorato <John J Lavorato/ENRON@enronXg...  'sent mail   \n",
       "2                                   Leah Van Arsdall  'sent mail   \n",
       "4                                         Greg Piper  'sent mail   \n",
       "\n",
       "                                                body Employee  \n",
       "1  Traveling to have a business meeting takes the...  allen-p  \n",
       "2                     test successful.  way to go!!!  allen-p  \n",
       "4                Let's shoot for Tuesday at 11:45.    allen-p  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "f08e9b5d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-15T11:43:21.852242Z",
     "iopub.status.busy": "2023-04-15T11:43:21.851892Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# now need to drop some columns which is not necessary for the model \n",
    "drop_column_names= ['file','message','Date','X-From','X-To','Employee']\n",
    "df.drop(columns=drop_column_names,axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "ecab071e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-15T11:43:21.909730Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Subject', 'X-Folder', 'body'], dtype='object')"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
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   "id": "e1c62641",
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    },
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   "outputs": [
    {
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Re: Hello</td>\n",
       "      <td>'sent mail</td>\n",
       "      <td>Let's shoot for Tuesday at 11:45.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Re: Hello</td>\n",
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       "      <td>Greg,\\n\\n How about either next Tuesday or Thu...</td>\n",
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       "      <th>7</th>\n",
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      ],
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       "                        Subject    X-Folder  \\\n",
       "1                           Re:  'sent mail   \n",
       "2                      Re: test  'sent mail   \n",
       "4                     Re: Hello  'sent mail   \n",
       "5                     Re: Hello  'sent mail   \n",
       "7  Re: PRC review - phone calls  'sent mail   \n",
       "\n",
       "                                                body  \n",
       "1  Traveling to have a business meeting takes the...  \n",
       "2                     test successful.  way to go!!!  \n",
       "4                Let's shoot for Tuesday at 11:45.    \n",
       "5  Greg,\\n\\n How about either next Tuesday or Thu...  \n",
       "7                   any morning between 10 and 11:30  "
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     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df.head()"
   ]
  },
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