{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SRUP Experiment (Annex)\n",
    "\n",
    "## This notebook will calculate performance data for the SRUP experiment annex\n",
    "\n",
    "This was conducted to compare the performance of a Raspberry Pi 4 to the baseline data – which was all generated usign a Raspbbery Pi 3B+"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set the experiment number – to determine which set of files we open..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "experiments = [0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Now we establish the mapping between the device ID's and the device numbers...\n",
    "\n",
    "(Note that we can check these by reading these from the first line of the device logs)\n",
    "\n",
    "Here we're replacing the old D5 – with the new FOUR…"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "mapping = {\n",
    "    \"f8a5cec814a44a70\": 1,\n",
    "    \"5df14c196044407e\": 2,\n",
    "    \"31366755f1274e57\": 3,\n",
    "    \"aa298b9284d347c0\": 4,\n",
    "    \"424514be78bf4081\": 5\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Wrangling...\n",
    "### Next we need to read the C2 log for this experiment...\n",
    "As we have five devices, the size should be (250 * 5) + 5 + 1 = 1256\n",
    "(1250 operations, plus 5 terminations + shutdown)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C2 Log size = 1256 rows.\n"
     ]
    },
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Print_Timestamp</th>\n",
       "      <th>Level</th>\n",
       "      <th>Device</th>\n",
       "      <th>Operation</th>\n",
       "      <th>Timestamp</th>\n",
       "      <th>Counter</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-10-21 16:26:53.298</td>\n",
       "      <td>[INFO]</td>\n",
       "      <td>Device 5df14c196044407e</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:52.282087</td>\n",
       "      <td>(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-10-21 16:26:54.801</td>\n",
       "      <td>[INFO]</td>\n",
       "      <td>Device f8a5cec814a44a70</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:53.769925</td>\n",
       "      <td>(1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-10-21 16:26:56.020</td>\n",
       "      <td>[INFO]</td>\n",
       "      <td>Device 424514be78bf4081</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:54.989231</td>\n",
       "      <td>(2)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-10-21 16:26:57.295</td>\n",
       "      <td>[INFO]</td>\n",
       "      <td>Device aa298b9284d347c0</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:56.264362</td>\n",
       "      <td>(3)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-10-21 16:26:58.687</td>\n",
       "      <td>[INFO]</td>\n",
       "      <td>Device 5df14c196044407e</td>\n",
       "      <td>OFF</td>\n",
       "      <td>2020-10-21 16:26:57.656684</td>\n",
       "      <td>(4)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Print_Timestamp     Level                    Device Operation  \\\n",
       "0  2020-10-21 16:26:53.298    [INFO]    Device 5df14c196044407e        ON   \n",
       "1  2020-10-21 16:26:54.801    [INFO]    Device f8a5cec814a44a70        ON   \n",
       "2  2020-10-21 16:26:56.020    [INFO]    Device 424514be78bf4081        ON   \n",
       "3  2020-10-21 16:26:57.295    [INFO]    Device aa298b9284d347c0        ON   \n",
       "4  2020-10-21 16:26:58.687    [INFO]    Device 5df14c196044407e       OFF   \n",
       "\n",
       "                    Timestamp Counter  \n",
       "0  2020-10-21 16:26:52.282087     (0)  \n",
       "1  2020-10-21 16:26:53.769925     (1)  \n",
       "2  2020-10-21 16:26:54.989231     (2)  \n",
       "3  2020-10-21 16:26:56.264362     (3)  \n",
       "4  2020-10-21 16:26:57.656684     (4)  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c2df = {}\n",
    "for _ in experiments:\n",
    "    c2filename = \"ex1_c2_s{}.tsv\".format(_)\n",
    "    c2df[_] = pd.read_csv(c2filename, sep=\"\\t\", header=None, skiprows=17, names=['Print_Timestamp', 'Level', 'Device', 'Operation', 'Timestamp', 'Counter'])\n",
    "    print(\"C2 Log size = {} rows.\".format(len(c2df[_].index)))\n",
    "\n",
    "c2df[0].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Next we need to manipulate the data – into a usable form.\n",
    "First off we'll drop the 0th column (the timestamp of when the message was printed), and the 1st column (the logging level indicator). We'll also drop the final column, the counter – as we don't need that here either.\n",
    "\n",
    "Then we'll do a very simple regex to drop the word \"Device\" from the Device column.\n",
    "\n",
    "Lastly we'll drop the last six rows – as we don't need the terminate or shutdown messages here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Device</th>\n",
       "      <th>Operation</th>\n",
       "      <th>Timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5df14c196044407e</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:52.282087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>f8a5cec814a44a70</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:53.769925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>424514be78bf4081</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:54.989231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>aa298b9284d347c0</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:56.264362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5df14c196044407e</td>\n",
       "      <td>OFF</td>\n",
       "      <td>2020-10-21 16:26:57.656684</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Device Operation                   Timestamp\n",
       "0   5df14c196044407e        ON  2020-10-21 16:26:52.282087\n",
       "1   f8a5cec814a44a70        ON  2020-10-21 16:26:53.769925\n",
       "2   424514be78bf4081        ON  2020-10-21 16:26:54.989231\n",
       "3   aa298b9284d347c0        ON  2020-10-21 16:26:56.264362\n",
       "4   5df14c196044407e       OFF  2020-10-21 16:26:57.656684"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for _ in experiments:\n",
    "    c2df[_] = c2df[_].drop('Print_Timestamp', 1)\n",
    "    c2df[_] = c2df[_].drop('Level', 1)\n",
    "    c2df[_] = c2df[_].drop('Counter', 1)\n",
    "    c2df[_]['Device'].replace(inplace = True, regex=True, to_replace=r'Device ', value=r'')\n",
    "    c2df[_].drop(c2df[_].tail(6).index, inplace=True)\n",
    "\n",
    "c2df[0].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Now we will load all of the device data for these experiments into a list of dictionaries of dataframes\n",
    "\n",
    "(The index will be the device number).\n",
    "\n",
    "As a part of this, we'll drop the columns we don't need (as above) – here the \"Print_Timestamp\", the \"Level\" and the \"Type\" (which is the SRUP message type).\n",
    "\n",
    "We'll also drop the very last row in each dataframe – as we don't need the terminate message..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "dev_df={}\n",
    "for _ in mapping:\n",
    "    dev_df[mapping[_]] = {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ex1_d1_s0.tsv\n",
      "ex1_d2_s0.tsv\n",
      "ex1_d3_s0.tsv\n",
      "ex1_d4_s0.tsv\n",
      "ex1_d5_s0.tsv\n"
     ]
    }
   ],
   "source": [
    "for device in mapping:\n",
    "    for _ in experiments:\n",
    "        index = mapping[device]\n",
    "        filename = \"ex1_d{}_s{}.tsv\".format(index, _)\n",
    "        print(filename)\n",
    "        dev_df[index][_] = pd.read_csv(filename, sep=\"\\t\", header = None, skiprows=5, names = ['Print_Timestamp', 'Level', 'Type', 'Operation', 'Timestamp'])\n",
    "        dev_df[index][_] = dev_df[index][_].drop('Print_Timestamp', 1)\n",
    "        dev_df[index][_] = dev_df[index][_].drop('Level', 1)\n",
    "        dev_df[index][_] = dev_df[index][_].drop('Type', 1)\n",
    "        dev_df[index][_].reset_index(level=0, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Now let's check that data\n",
    "They should all be the same size – 250 rows (250 on/off operations, now we've dropped the terminate at the end of the experiment)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Device 1 \t Experiment 0 \t Log size = 250 rows.\n",
      "Device 2 \t Experiment 0 \t Log size = 250 rows.\n",
      "Device 3 \t Experiment 0 \t Log size = 250 rows.\n",
      "Device 4 \t Experiment 0 \t Log size = 250 rows.\n",
      "Device 5 \t Experiment 0 \t Log size = 250 rows.\n"
     ]
    }
   ],
   "source": [
    "for df in dev_df:\n",
    "    for _ in experiments:\n",
    "        dev_df[df][_] = dev_df[df][_][:-1]\n",
    "        print(\"Device {} \\t Experiment {} \\t Log size = {} rows.\".format(df, _, len(dev_df[df][_].index)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>Operation</th>\n",
       "      <th>Timestamp</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>START</td>\n",
       "      <td>2020-10-21 16:26:53.827833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>STOP</td>\n",
       "      <td>2020-10-21 16:27:10.783216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>START</td>\n",
       "      <td>2020-10-21 16:27:17.281786</td>\n",
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       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>STOP</td>\n",
       "      <td>2020-10-21 16:27:24.566748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>START</td>\n",
       "      <td>2020-10-21 16:27:33.357529</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index Operation                   Timestamp\n",
       "0      0     START  2020-10-21 16:26:53.827833\n",
       "1      1      STOP  2020-10-21 16:27:10.783216\n",
       "2      2     START  2020-10-21 16:27:17.281786\n",
       "3      3      STOP  2020-10-21 16:27:24.566748\n",
       "4      4     START  2020-10-21 16:27:33.357529"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dev_df[1][0].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analysis\n",
    "### We now have all of the data we need. So next to process it!\n",
    "The process here is to generate a new dataframe – containing (for each operation in the C2 dataframe) – the device number, the time the message was sent, and the time that the message was decoded by the recieving device..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DeviceID</th>\n",
       "      <th>Device</th>\n",
       "      <th>Operation</th>\n",
       "      <th>Sent</th>\n",
       "      <th>Recieved</th>\n",
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       "      <th>0</th>\n",
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       "      <th>2</th>\n",
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       "      <td>5</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:54.989231</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>aa298b9284d347c0</td>\n",
       "      <td>4</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:56.264362</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
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       "      <td></td>\n",
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      ],
      "text/plain": [
       "            DeviceID  Device Operation                       Sent Recieved  \\\n",
       "0   5df14c196044407e       2        ON 2020-10-21 16:26:52.282087            \n",
       "1   f8a5cec814a44a70       1        ON 2020-10-21 16:26:53.769925            \n",
       "2   424514be78bf4081       5        ON 2020-10-21 16:26:54.989231            \n",
       "3   aa298b9284d347c0       4        ON 2020-10-21 16:26:56.264362            \n",
       "4   5df14c196044407e       2       OFF 2020-10-21 16:26:57.656684            \n",
       "\n",
       "  Sequence  \n",
       "0           \n",
       "1           \n",
       "2           \n",
       "3           \n",
       "4           "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ops = {}\n",
    "for _ in experiments:\n",
    "    ops[_] = pd.DataFrame()\n",
    "\n",
    "    ops[_]['DeviceID'] = c2df[_]['Device']\n",
    "    ops[_]['Device'] = ops[_]['DeviceID'].map(lambda x: mapping[str(x).strip()])\n",
    "    ops[_]['Operation'] = c2df[_]['Operation']\n",
    "    ops[_]['Sent'] = pd.to_datetime(c2df[_]['Timestamp'])\n",
    "    ops[_]['Recieved'] = ''\n",
    "    ops[_]['Sequence'] = ''\n",
    "\n",
    "ops[0].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Now for the messy bit... We need to iterate through the dataframe – and pull out the data from one of the five device dataframes...\n",
    "(I'm pretty sure that there's no easier way to do this, given the data format. Unless I'm missing a trick?)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DeviceID</th>\n",
       "      <th>Device</th>\n",
       "      <th>Operation</th>\n",
       "      <th>Sent</th>\n",
       "      <th>Recieved</th>\n",
       "      <th>Sequence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5df14c196044407e</td>\n",
       "      <td>2</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:52.282087</td>\n",
       "      <td>2020-10-21 16:26:53.375972</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>f8a5cec814a44a70</td>\n",
       "      <td>1</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:53.769925</td>\n",
       "      <td>2020-10-21 16:26:53.827833</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>424514be78bf4081</td>\n",
       "      <td>5</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:54.989231</td>\n",
       "      <td>2020-10-21 16:26:55.039014</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>aa298b9284d347c0</td>\n",
       "      <td>4</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:56.264362</td>\n",
       "      <td>2020-10-21 16:26:56.322821</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5df14c196044407e</td>\n",
       "      <td>2</td>\n",
       "      <td>OFF</td>\n",
       "      <td>2020-10-21 16:26:57.656684</td>\n",
       "      <td>2020-10-21 16:26:57.714610</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            DeviceID  Device Operation                       Sent  \\\n",
       "0   5df14c196044407e       2        ON 2020-10-21 16:26:52.282087   \n",
       "1   f8a5cec814a44a70       1        ON 2020-10-21 16:26:53.769925   \n",
       "2   424514be78bf4081       5        ON 2020-10-21 16:26:54.989231   \n",
       "3   aa298b9284d347c0       4        ON 2020-10-21 16:26:56.264362   \n",
       "4   5df14c196044407e       2       OFF 2020-10-21 16:26:57.656684   \n",
       "\n",
       "                     Recieved Sequence  \n",
       "0  2020-10-21 16:26:53.375972        0  \n",
       "1  2020-10-21 16:26:53.827833        0  \n",
       "2  2020-10-21 16:26:55.039014        0  \n",
       "3  2020-10-21 16:26:56.322821        0  \n",
       "4  2020-10-21 16:26:57.714610        1  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for _ in experiments:\n",
    "    indices = [0,0,0,0,0]\n",
    "    for i in range(len(ops[_].index)):\n",
    "        # Note the syntax: dataframe.at[row, column] \n",
    "        dev = ops[_].at[i, 'Device']\n",
    "        ops[_].at[i, 'Recieved'] = pd.to_datetime(dev_df[dev][_]['Timestamp'][indices[dev-1]])\n",
    "        ops[_].at[i,'Sequence'] = dev_df[dev][_]['index'][indices[dev-1]]\n",
    "        indices[dev-1] += 1\n",
    "\n",
    "ops[0].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Now we can get back to working with whole columns – and calculate the difference..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "</style>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DeviceID</th>\n",
       "      <th>Device</th>\n",
       "      <th>Operation</th>\n",
       "      <th>Sent</th>\n",
       "      <th>Recieved</th>\n",
       "      <th>Sequence</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Miliseconds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5df14c196044407e</td>\n",
       "      <td>2</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:52.282087</td>\n",
       "      <td>2020-10-21 16:26:53.375972</td>\n",
       "      <td>0</td>\n",
       "      <td>0 days 00:00:01.093885</td>\n",
       "      <td>1093.885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>f8a5cec814a44a70</td>\n",
       "      <td>1</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:53.769925</td>\n",
       "      <td>2020-10-21 16:26:53.827833</td>\n",
       "      <td>0</td>\n",
       "      <td>0 days 00:00:00.057908</td>\n",
       "      <td>57.908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>424514be78bf4081</td>\n",
       "      <td>5</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:54.989231</td>\n",
       "      <td>2020-10-21 16:26:55.039014</td>\n",
       "      <td>0</td>\n",
       "      <td>0 days 00:00:00.049783</td>\n",
       "      <td>49.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>aa298b9284d347c0</td>\n",
       "      <td>4</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:56.264362</td>\n",
       "      <td>2020-10-21 16:26:56.322821</td>\n",
       "      <td>0</td>\n",
       "      <td>0 days 00:00:00.058459</td>\n",
       "      <td>58.459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5df14c196044407e</td>\n",
       "      <td>2</td>\n",
       "      <td>OFF</td>\n",
       "      <td>2020-10-21 16:26:57.656684</td>\n",
       "      <td>2020-10-21 16:26:57.714610</td>\n",
       "      <td>1</td>\n",
       "      <td>0 days 00:00:00.057926</td>\n",
       "      <td>57.926</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            DeviceID  Device Operation                       Sent  \\\n",
       "0   5df14c196044407e       2        ON 2020-10-21 16:26:52.282087   \n",
       "1   f8a5cec814a44a70       1        ON 2020-10-21 16:26:53.769925   \n",
       "2   424514be78bf4081       5        ON 2020-10-21 16:26:54.989231   \n",
       "3   aa298b9284d347c0       4        ON 2020-10-21 16:26:56.264362   \n",
       "4   5df14c196044407e       2       OFF 2020-10-21 16:26:57.656684   \n",
       "\n",
       "                     Recieved Sequence               Duration  Miliseconds  \n",
       "0  2020-10-21 16:26:53.375972        0 0 days 00:00:01.093885     1093.885  \n",
       "1  2020-10-21 16:26:53.827833        0 0 days 00:00:00.057908       57.908  \n",
       "2  2020-10-21 16:26:55.039014        0 0 days 00:00:00.049783       49.783  \n",
       "3  2020-10-21 16:26:56.322821        0 0 days 00:00:00.058459       58.459  \n",
       "4  2020-10-21 16:26:57.714610        1 0 days 00:00:00.057926       57.926  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for _ in experiments:\n",
    "    ops[_]['Duration'] = ops[_].apply(lambda row: (row.Recieved-row.Sent), axis=1)\n",
    "    ops[_]['Miliseconds'] = ops[_].apply(lambda row: (row.Duration.total_seconds()*1000), axis=1)\n",
    "\n",
    "ops[0].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the first operation in every experiment has a delay of ~ 1 second; as the system is still initializing. To avoid adding false noise to the data: we'll drop the first operation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\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>DeviceID</th>\n",
       "      <th>Device</th>\n",
       "      <th>Operation</th>\n",
       "      <th>Sent</th>\n",
       "      <th>Recieved</th>\n",
       "      <th>Sequence</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Miliseconds</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>f8a5cec814a44a70</td>\n",
       "      <td>1</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:53.769925</td>\n",
       "      <td>2020-10-21 16:26:53.827833</td>\n",
       "      <td>0</td>\n",
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       "    </tr>\n",
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       "      <th>2</th>\n",
       "      <td>424514be78bf4081</td>\n",
       "      <td>5</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:54.989231</td>\n",
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       "      <td>0</td>\n",
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       "      <td>49.783</td>\n",
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       "      <th>3</th>\n",
       "      <td>aa298b9284d347c0</td>\n",
       "      <td>4</td>\n",
       "      <td>ON</td>\n",
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       "      <td>2020-10-21 16:26:56.322821</td>\n",
       "      <td>0</td>\n",
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       "      <td>58.459</td>\n",
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       "      <th>4</th>\n",
       "      <td>5df14c196044407e</td>\n",
       "      <td>2</td>\n",
       "      <td>OFF</td>\n",
       "      <td>2020-10-21 16:26:57.656684</td>\n",
       "      <td>2020-10-21 16:26:57.714610</td>\n",
       "      <td>1</td>\n",
       "      <td>0 days 00:00:00.057926</td>\n",
       "      <td>57.926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5df14c196044407e</td>\n",
       "      <td>2</td>\n",
       "      <td>ON</td>\n",
       "      <td>2020-10-21 16:26:59.064975</td>\n",
       "      <td>2020-10-21 16:26:59.122688</td>\n",
       "      <td>2</td>\n",
       "      <td>0 days 00:00:00.057713</td>\n",
       "      <td>57.713</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            DeviceID  Device Operation                       Sent  \\\n",
       "1   f8a5cec814a44a70       1        ON 2020-10-21 16:26:53.769925   \n",
       "2   424514be78bf4081       5        ON 2020-10-21 16:26:54.989231   \n",
       "3   aa298b9284d347c0       4        ON 2020-10-21 16:26:56.264362   \n",
       "4   5df14c196044407e       2       OFF 2020-10-21 16:26:57.656684   \n",
       "5   5df14c196044407e       2        ON 2020-10-21 16:26:59.064975   \n",
       "\n",
       "                     Recieved Sequence               Duration  Miliseconds  \n",
       "1  2020-10-21 16:26:53.827833        0 0 days 00:00:00.057908       57.908  \n",
       "2  2020-10-21 16:26:55.039014        0 0 days 00:00:00.049783       49.783  \n",
       "3  2020-10-21 16:26:56.322821        0 0 days 00:00:00.058459       58.459  \n",
       "4  2020-10-21 16:26:57.714610        1 0 days 00:00:00.057926       57.926  \n",
       "5  2020-10-21 16:26:59.122688        2 0 days 00:00:00.057713       57.713  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for _ in experiments:\n",
    "    ops[_] = ops[_].drop(ops[_].index[0])\n",
    "\n",
    "ops[0].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "experiment = 0\n",
    "ops[experiment].groupby('Device')['Miliseconds'].plot(title=\"Network & Processing Time by Sample (Experiment {})\".format(experiment), figsize=(20,10))\n",
    "plt.legend(labels=[\"Device 1\", \"Device 2\", \"Device 3\", \"Device 4\", \"Device 5\"])\n",
    "plt.xlabel(\"Sample\")\n",
    "plt.ylabel(\"Duration (ms)\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Delay distribution (Experiment 0)')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "experiment = 0\n",
    "ops[experiment].groupby('Device')['Miliseconds'].hist(bins=40, alpha=0.5, figsize=(20,10))\n",
    "plt.legend(labels=[\"Device 1\", \"Device 2\", \"Device 3\", \"Device 4\", \"Device 5\"])\n",
    "plt.xlabel(\"Delay (ms)\")\n",
    "plt.ylabel(\"Frequency\")\n",
    "plt.title(\"Delay distribution (Experiment {})\".format(experiment))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Delay Distribution Density (Experiment 0)')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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xsfFFz73//vv53Oc+d/Ttjo4Ovva1r/Hss89y5ZVXApDP57niiiuq9noMjyRJkiRJ0qQ13g6hStm4cSOpVIpZs2YRY+RjH/sY11133XHHXXXVVdx77718/vOf5+abbx7TuWOMXHPNNXz2s5+d6LLHxJ1HkiRJkiRJZ2Dfvn28/e1v59ZbbyWEwHXXXccdd9xBoVAAYO3atfT39wNw00038clPfpJHHnmE66+//rhzXXPNNdx+++1H3+7p6eHyyy/n0UcfZf369QD09/ezdu3aKryyMsMjSZIkSZKkcRocHGTlypUsW7aMq6++mmuvvZb3vve9ALz1rW/loosu4tJLL2X58uW87W1vo1gsAnDttdfy8MMPc/XVV5PNZo8773ve8x56enpYvnw5l1xyCQ8++CDd3d186lOf4pZbbmHFihVcccUVrFmz5rjn/vu//zsLFizge9/7HjfeeOMJO59OR4gxTsiJqmXVqlVx9erVSZchSZIkSZIS8txzz3HhhRcmXcakdaKPXwjhhzHGVSc63s4jSZIkSZIknZThkSRJkiRJkk7K8EiSJEmSJEknZXgkSZIkSZKkkzI8kiRJkiRJ0kkZHkmSNMkVCyW+8bdP8R+fW0upNJx0OZIkSZpiDI8kSZrknvjWVjY+sY+nHtrOhh/uTbocSZKkaSGVSrFy5UqWLVvGJZdcwkc+8hGGh0/vH/JWr17NO97xjjOu6V3vehcXXHABK1as4Fd+5Vc4dOjQGZ8TDI8kSZr01q3ey7yl7bTPbuLZR3cmXY4kSdK00NjYyBNPPMEzzzzDt771Lb7xjW/wvve977TOtWrVKv76r//6jGu65pprePrpp3nyySc577zz+D//5/+c8TnB8EiSpEmtd/8gB3f2s2RlN2cv72L3hl6KhVLSZUmSJE0rs2bN4s477+TjH/84MUZKpRLvete7uOyyy1ixYgWf+MQnALj55pu55557jj7vzW9+M3fddRcPPfQQr33tawHo6+vjLW95CxdffDErVqzgS1/6EgD33XcfV1xxBZdeeilveMMb6OvrO66Oa6+9lnQ6DcDll1/O9u3bJ+T1pSfkLCcRQrge+CsgBfx9jPHPT3DMbwB/CkTgJzHGN1ayJkmSppI9m3sBmHtuG609DfzkgW3s3XyEeUvbky1MkiSpWr7xbtj91MSec87FcMNxEcbLWrJkCaVSib179/KVr3yFtrY2Hn/8cXK5HFdeeSXXXnstN910E1/4whe48cYbyefzPPDAA9xxxx089thjR8/zgQ98gLa2Np56qvyaenp62L9/Px/84Ae5//77aW5u5sMf/jAf/ehHue22205azz/+4z9y0003nd7rf4mKhUchhBRwO3ANsB14PIRwd4zx2WOOWQr8EXBljLEnhDCrUvVIkjQV7dt6hLpUoGteC83t9eXHthkeSZIkJem+++7jySef5K677gLg8OHDrFu3jhtuuIF3vvOd5HI5vvnNb/LqV7+axsbGFz33/vvv53Of+9zRtzs6Ovja177Gs88+y5VXXglAPp/niiuuOOn1/+zP/ox0Os2b3vSmCXk9lew8eiWwPsa4ESCE8Dng9cCzxxzzX4HbY4w9ADFGt3xKkjQO+7cdoXNeM6lMHU0zsjQ0Zzi4sz/psiRJkqpnnB1ClbJx40ZSqRSzZs0ixsjHPvYxrrvuuuOOu+qqq7j33nv5/Oc/z8033zymc8cYueaaa/jsZz97ymM/9alP8bWvfY0HHniAEMK4X8eJVHLn0Xxg2zFvbx957FjnAeeFEB4NIXx/ZMztOCGE3w4hrA4hrN63b1+FypUkafLp2TNA59xmAEIIdM5r5uDO4+ffJUmSVDn79u3j7W9/O7feeishBK677jruuOMOCoUCAGvXrqW/v/wPfDfddBOf/OQneeSRR7j++uNjkGuuuYbbb7/96Ns9PT1cfvnlPProo6xfvx6A/v5+1q5de9xzv/nNb/IXf/EX3H333TQ1NU3Y60t6YXYaWApcBdwC/F0Iof2lB8UY74wxrooxruru7q5uhZIk1ahivkTfwRzts1/4waBzbjMHdw0kWJUkSdL0MDg4yMqVK1m2bBlXX3011157Le9973sBeOtb38pFF13EpZdeyvLly3nb295GsVgEykutH374Ya6++mqy2exx533Pe95DT08Py5cv55JLLuHBBx+ku7ubT33qU9xyyy2sWLGCK664gjVr1hz33FtvvZUjR45wzTXXsHLlSt7+9rdPyGut5NjaDmDhMW8vGHnsWNuBx2KMBWBTCGEt5TDp8QrWJUnSlHB43yAAbbNemJNvm9VIfrDIUH+BhuZMUqVJkiRNeaXSye9wW1dXx4c+9CE+9KEPHfe+TCbDwYMHX/TYVVddxVVXXQVAS0sLn/70p4973s///M/z+OMvH5eMdiZNtEp2Hj0OLA0hLA4hZIGbgbtfcsyXKXcdEUKYSXmMbWMFa5Ikaco4vLccHrXPeqHzaMbMcpDUu38wkZokSZI09VQsPIoxFoFbgXuB54AvxBifCSG8P4TwupHD7gUOhBCeBR4E3hVjPFCpmiRJmkqOHBwCYEbXC51HM2Y2ANC7fyiRmiRJkjT1VHJsjRjj14Gvv+Sx2475cwR+f+SXJEkahyMHh0hn66hvfuHb+Wjn0eF97j2SJEnSxEh6YbYkSTpNfQeHaO1seNEtWLMNabKNafoP5ROsTJIkSVOJ4ZEkSZPUkYNDtHQ2HPd4c1uW/sO5BCqSJEnSVGR4JEnSJHWkJ0dLR/1xjze31zNgeCRJkqQJYngkSdIkNFwaZvBInub248OjprasY2uSJEkVlkqlWLlyJcuWLeOSSy7hIx/5CMPDw6d1rtWrV/OOd7zjjGv6kz/5E1asWMHKlSu59tpr2blz5xmfEwyPJEmalAb7ChChqTV73Pua2+rp781Rvi+FJEmSKqGxsZEnnniCZ555hm9961t84xvf4H3ve99pnWvVqlX89V//9RnX9K53vYsnn3ySJ554gte+9rW8//3vP+NzguGRJEmT0uCRcmdR04wTh0fDxUiuv1jtsiRJkqalWbNmceedd/Lxj3+cGCOlUol3vetdXHbZZaxYsYJPfOITANx8883cc889R5/35je/mbvuuouHHnqI1772tQD09fXxlre8hYsvvpgVK1bwpS99CYD77ruPK664gksvvZQ3vOEN9PX1HVfHjBkzjv65v7//RTdWORPpUx8iSZJqzUBvOTxqPEF41NRWfqz/cI6GlkxV65IkSaq2D//gw6w5uGZCz3lB5wX84Sv/cFzPWbJkCaVSib179/KVr3yFtrY2Hn/8cXK5HFdeeSXXXnstN910E1/4whe48cYbyefzPPDAA9xxxx089thjR8/zgQ98gLa2Np566ikAenp62L9/Px/84Ae5//77aW5u5sMf/jAf/ehHue22246r44//+I/5zGc+Q1tbGw8++OCZfSBG2HkkSdIkNBoenXBsbWQPkndckyRJSsZ9993HZz7zGVauXMmrXvUqDhw4wLp167jhhht48MEHyeVyfOMb3+DVr341jY2NL3ru/fffz+/+7u8efbujo4Pvf//7PPvss1x55ZWsXLmST3/602zZsuWE1/6zP/sztm3bxpve9CY+/vGPT8jrsfNIkqRJ6Gh4dMKxtZHOI5dmS5KkaWC8HUKVsnHjRlKpFLNmzSLGyMc+9jGuu+6644676qqruPfee/n85z/PzTffPKZzxxi55ppr+OxnPzvmet70pjfxi7/4i6e9h+lYdh5JkjQJDfbmSWXqyDSkjntfU1u582ig184jSZKkati3bx9vf/vbufXWWwkhcN1113HHHXdQKBQAWLt2Lf39/QDcdNNNfPKTn+SRRx7h+uuvP+5c11xzDbfffvvRt3t6erj88st59NFHWb9+PVDeZ7R27drjnrtu3bqjf/7KV77CBRdcMCGvz84jSZImoYEjeZpasydcgpjJpqhvStt5JEmSVEGDg4OsXLmSQqFAOp3mt37rt/j93/99AN761reyefNmLr30UmKMdHd38+UvfxmAa6+9lt/6rd/i9a9/Pdns8V3k73nPe/jd3/1dli9fTiqV4r3vfS+/+qu/yqc+9SluueUWcrnyPxB+8IMf5LzzznvRc9/97nfz/PPPU1dXx9lnn83f/u3fTshrDZPtNr6rVq2Kq1evTroMSZISdfdf/ZjcYIk3vHvVCd//r3/6fTrnNnP92y6ucmWSJEmV99xzz3HhhRcmXcakdaKPXwjhhzHGE/5w6diaJEmT0EBv4YT7jkY1tmYZ7CtUsSJJkiRNVYZHkiRNQgNH8i8bHjW0ZBjqNzySJEnSmTM8kiRpkhkejgyNITyy80iSJEkTwfBIkqRJZqivQIzl0bSTaWzOkOsrMNl2G0qSJKn2GB5JkjTJDI10FDW2Zk56TENLhuHhSH6oVK2yJEmSNEUZHkmSNMkMDZTDo4amlw+PAIb68lWpSZIkSVOX4ZEkSZNMbmQRdn1z+qTHNDSXwyP3HkmSJFVGKpVi5cqVLFu2jEsuuYSPfOQjDA8Pn9a5Vq9ezTve8Y4Jq+0jH/kIIQT2798/Iec7+U+dkiSpJg31F4EXAqITeaHzyPBIkiSpEhobG3niiScA2Lt3L2984xvp7e3lfe9737jPtWrVKlatWjUhdW3bto377ruPs846a0LOB3YeSZI06eQGRjuPTh4eNY6GR/2GR5IkSZU2a9Ys7rzzTj7+8Y8TY6RUKvGud72Lyy67jBUrVvCJT3wCgJtvvpl77rnn6PPe/OY3c9ddd/HQQw/x2te+FoC+vj7e8pa3cPHFF7NixQq+9KUvAXDfffdxxRVXcOmll/KGN7yBvr6+E9bye7/3e/zFX/wFIYQJe312HkmSNMkM9RUIdYFsQ+qkxzS0ZI8eK0mSNJXt/tCHyD23ZkLPWX/hBcz53/97XM9ZsmQJpVKJvXv38pWvfIW2tjYef/xxcrkcV155Jddeey033XQTX/jCF7jxxhvJ5/M88MAD3HHHHTz22GNHz/OBD3yAtrY2nnrqKQB6enrYv38/H/zgB7n//vtpbm7mwx/+MB/96Ee57bbbXlTDV77yFebPn88ll1xy5h+EYxgeSZI0yQwNFGloTr/svyZlG1LU1QXDI0mSpATcd999PPnkk9x1110AHD58mHXr1nHDDTfwzne+k1wuxze/+U1e/epX09jY+KLn3n///Xzuc587+nZHRwdf+9rXePbZZ7nyyisByOfzXHHFFS963sDAAB/60Ie47777Jvz1GB5JkjTJ5PoL1L/MndYAQgjUt2QYdGxNkiRNcePtEKqUjRs3kkqlmDVrFjFGPvaxj3Hdddcdd9xVV13Fvffey+c//3luvvnmMZ07xsg111zDZz/72ZMes2HDBjZt2nS062j79u1ceuml/OAHP2DOnDmn96JGuPNIkqRJZqi/QMPL3GltVENzxs4jSZKkKti3bx9vf/vbufXWWwkhcN1113HHHXdQKJR/Flu7di39/f0A3HTTTXzyk5/kkUce4frrrz/uXNdccw2333770bd7enq4/PLLefTRR1m/fj0A/f39rF279kXPu/jii9m7dy+bN29m8+bNLFiwgB/96EdnHByB4ZEkSZNObqD4ssuyRzW2GB5JkiRVyuDgICtXrmTZsmVcffXVXHvttbz3ve8F4K1vfSsXXXQRl156KcuXL+dtb3sbxWL5jrnXXnstDz/8MFdffTXZbPa4877nPe+hp6eH5cuXc8kll/Dggw/S3d3Npz71KW655RZWrFjBFVdcwZo1E7vn6eWEGGPVLjYRVq1aFVevXp10GZIkJeYzf/xd5p3bztVvuehlj/vGJ57i0J4BbrntVVWqTJIkqTqee+45LrzwwqTLmLRO9PELIfwwxrjqRMfbeSRJ0iST6y9QP5axtaa0nUeSJEk6Y4ZHkiRNIqXSMPmhEg1jGFurb8qQGyxWoSpJkiRNZYZHkiRNIvmBchh0qrutAWSb0pQKwxQLpUqXJUmSpCnM8EiSpElkqL88htbQcuqxtfrG8jH5QcMjSZIknT7DI0mSJpGh/nLnUcMYOo/qm8rhUW7AvUeSJEk6fYZHkiRNIrmRzqOxjK2NHpMbcO+RJEmSTp/hkSRJk8joAuzRrqKXc7TzyKXZkiRJEy6VSrFy5UqWLVvGJZdcwkc+8hGGh4dP61yrV6/mHe94xxnX9Kd/+qfMnz+flStXsnLlSr7+9a+f8TkBTv2TpyRJqhn5kSAo23jqb+Gjx+TtPJIkSZpwjY2NPPHEEwDs3buXN77xjfT29vK+971v3OdatWoVq1atmpC6fu/3fo8/+IM/mJBzjbLzSJKkSeRo59EYwiN3HkmSJFXHrFmzuPPOO/n4xz9OjJFSqcS73vUuLrvsMlasWMEnPvEJAG6++Wbuueeeo89785vfzF133cVDDz3Ea1/7WgD6+vp4y1vewsUXX8yKFSv40pe+BMB9993HFVdcwaWXXsob3vAG+vr6qvb67DySJGkSyQ8WSaXrSGVO/e8/jq1JkqTp4JEvrGX/tokNUmYubOFnf+O8cT1nyZIllEol9u7dy1e+8hXa2tp4/PHHyeVyXHnllVx77bXcdNNNfOELX+DGG28kn8/zwAMPcMcdd/DYY48dPc8HPvAB2traeOqppwDo6elh//79fPCDH+T++++nubmZD3/4w3z0ox/ltttuO66Oj3/843zmM59h1apVfOQjH6Gjo+PMPhjYeSRJ0qSSHyySbUyN6dh0JkUqXefCbEmSpCq77777+MxnPsPKlSt51atexYEDB1i3bh033HADDz74ILlcjm984xu8+tWvprGx8UXPvf/++/nd3/3do293dHTw/e9/n2effZYrr7ySlStX8ulPf5otW7Ycd93f+Z3fYcOGDTzxxBPMnTuX//k//+eEvB47jyRJmkRyg8Ux7TsalW1KGx5JkqQpbbwdQpWyceNGUqkUs2bNIsbIxz72Ma677rrjjrvqqqu49957+fznP8/NN988pnPHGLnmmmv47Gc/+7LHzZ49++if/+t//a9HR+HOlJ1HkiRNIvnB4pj2HY2qbzQ8kiRJqrR9+/bx9re/nVtvvZUQAtdddx133HEHhUJ59+TatWvp7+8H4KabbuKTn/wkjzzyCNdff/1x57rmmmu4/fbbj77d09PD5ZdfzqOPPsr69esB6O/vZ+3atcc9d9euXUf//O///u8sX758Ql6f4ZEkSZNIfpydR/VNafKDLsyWJEmaaIODg6xcuZJly5Zx9dVXc+211/Le974XgLe+9a1cdNFFXHrppSxfvpy3ve1tFIvlf9C79tprefjhh7n66qvJZrPHnfc973kPPT09LF++nEsuuYQHH3yQ7u5uPvWpT3HLLbewYsUKrrjiCtasWXPcc//X//pfRxdtP/jgg/zlX/7lhLzWEGOckBNVy6pVq+Lq1auTLkOSpET86/seo3NOE9e/7eIxHf/Vjz3BUF+BN/zRZRWuTJIkqXqee+45LrzwwqTLmLRO9PELIfwwxrjqRMfbeSRJ0iQy7s4jx9YkSZJ0hgyPJEmaRHKDRbJN41mYnSE3aHgkSZKk02d4JEnSJDFcGqaYK417YXZ+oMhkG1OXJEk6FX++OT2n83EzPJIkaZLID5UAyDaMb2H28HCkkCtVqixJkqSqa2ho4MCBAwZI4xRj5MCBAzQ0NIzreWP/6VOSJCUqPzJ+Np6dR6PHFoZK4wqdJEmSatmCBQvYvn07+/btS7qUSaehoYEFCxaM6zn+FClJ0iQxurtoPGNr2YYUAPmhIs3UV6QuSZKkastkMixevDjpMqYNx9YkSZok8iN3TRvXwuyRbqP8oGNrkiRJOj2GR5IkTRKn1XnU+ELnkSRJknQ6DI8kSZokRgOg0UBoLDINL+w8kiRJkk6H4ZEkSZPEaS3MHh1bs/NIkiRJp8nwSJKkSeL07rbm2JokSZLOjOGRJEmTRH6wRCpTRyo19m/f2XoXZkuSJOnMGB5JkjRJ5HMlsg1j33cEkMrUUZcOdh5JkiTptBkeSZI0SRSGimTqxxceQXnvUd6F2ZIkSTpNhkeSJE0S+aHS0bunjUe2IXV0X5IkSZI0XoZHkiRNEoVccdxja1BesF3I2XkkSZKk02N4JEnSJFEYKpGpP53Oo7SdR5IkSTpthkeSJE0S+aHxL8yGkbE1F2ZLkiTpNBkeSZI0SRSGimROIzzKuDBbkiRJZ8DwSJKkSSKfK5E9rbG1FAU7jyRJknSaDI8kSZoE4nCkkCudVudReeeRnUeSJEk6PYZHkiRNAoV8CWI5CBqvbGOKUnGYUnG4ApVJkiRpqjM8kiRpEiiM7Cw63Z1Hx55DkiRJGg/DI0mSJoHRu6Wd3t3W0i86hyRJkjQehkeSJE0Chdxo59Hpja2B4ZEkSZJOj+GRJEmTQH5k5CxbfwadRy7NliRJ0mkwPJIkaRIojHQNne7d1sDOI0mSJJ0ewyNJkiaBo51HpzG2Nho4GR5JkiTpdBgeSZI0Cbyw8+j0O4+825okSZJOh+GRJEmTwGjXUOZ0dh6NLsx255EkSZJOQ0XDoxDC9SGE50MI60MI7z7B+98cQtgXQnhi5NdbK1mPJEmTVWGoBOH0wqNMNgXBsTVJkiSdnvEvThijEEIKuB24BtgOPB5CuDvG+OxLDv18jPHWStUhSdJUUBgqkalPEUIY93NDXSBbnzI8kiRJ0mmpZOfRK4H1McaNMcY88Dng9RW8niRJU1Y+VyR7Gl1Ho7KN6aNLtyVJkqTxqGR4NB/Ydszb20cee6lfCyE8GUK4K4Sw8EQnCiH8dghhdQhh9b59+ypRqyRJNa0wVCJzGndaG5VpSFMYtPNIkiRJ45f0wuyvAotijCuAbwGfPtFBMcY7Y4yrYoyruru7q1qgJEm1ID9UInsad1oblW1wbE2SJEmnp5Lh0Q7g2E6iBSOPHRVjPBBjzI28+ffAT1WwHkmSJq1CrnhGnUfl8MixNUmSJI1fJcOjx4GlIYTFIYQscDNw97EHhBDmHvPm64DnKliPJEmT1pl3HqXJO7YmSZKk01Cxu63FGIshhFuBe4EU8I8xxmdCCO8HVscY7wbeEUJ4HVAEDgJvrlQ9kiRNZoWhIpkzCI8yDSkKOTuPJEmSNH4VC48AYoxfB77+ksduO+bPfwT8USVrkCRpKsgPlcjWn8HC7Pq04ZEkSZJOS9ILsyVJ0hiU77Z2Bp1H9XYeSZIk6fQYHkmSVONKpWFKxeEz2nmUqU8xXIqUisMTWJkkSZKmA8MjSZJqXGHkLmmZMxpbKwdPdh9JkiRpvAyPJEmqcfmh8l3SznRhNhgeSZIkafwMjyRJqnGjnUfZhgnoPBoyPJIkSdL4GB5JklTjRruFznRhNkA+V5yQmiRJkjR9GB5JklTjRsfWsvWnHx5lHVuTJEnSaTI8kiSpxhVz5TuknVnnUXnkzbE1SZIkjZfhkSRJNa4wMmqWzp752JqdR5IkSRovwyNJkmpcIT/SeXQGY2uGR5IkSTpdhkeSJNW4owuzDY8kSZKUAMMjSZJqXDFfDnzOZGwtbXgkSZKk02R4JElSjSsMlUhl6qirC6d9jrq6QDpTZ3gkSZKkcTM8kiSpxhXyJTJn0HU0KtOQMjySJEnSuBkeSZJU44q50hntOxqVqU9RGCpOQEWSJEmaTgyPJEmqcYV86ejOojORqU/beSRJkqRxMzySJKnGFXIlMtkz/5adqXdsTZIkSeNneCRJUo0rTNTYmjuPJEmSdBoMjyRJqnHF/PDE7TwyPJIkSdI4GR5JklTjCrmJ2nmUojBkeCRJkqTxMTySJKnGlXce2XkkSZKkZBgeSZJU44oTdrc1wyNJkiSNn+GRJEk1biI7j0rFYUql4QmoSpIkSdOF4ZEkSTWsVBxmuBQnZGF2tiEN4N4jSZIkjYvhkSRJNWx0zGyi7rZ27DklSZKksTA8kiSphhXz5aAnnT3zb9mGR5IkSTodhkeSJNUwO48kSZKUNMMjSZJqWDFfXm5teCRJkqSkGB5JklTDCrkiAOmJCI8aDI8kSZI0foZHkiTVsEJupPMoO5GdR8UzPpckSZKmD8MjSZJqWEV2Hg3ZeSRJkqSxMzySJKmGjd5tbULCo4Y04NiaJEmSxsfwSJKkGjYa9KQnYmwtW/eic0qSJEljYXgkSVINm8ixtbpUHalMnWNrkiRJGhfDI0mSalhhZGwtnZmYb9mZ+pSdR5IkSRoXwyNJkmpYMVciXZ8i1IUJOZ/hkSRJksbL8EiSpBpWyJWO7iqaCIZHkiRJGi/DI0mSalghX5qQfUejyuFRccLOJ0mSpKnP8EiSpBpWzA1PyJ3WRtl5JEmSpPEyPJIkqYZVpvPI8EiSJEljZ3gkSVINKwxNbHiUbUiTHzI8kiRJ0tgZHkmSVMMK+ZJja5IkSUqU4ZEkSTWsmHNsTZIkSckyPJIkqYZN+M6jhhSlwjDDpeEJO6ckSZKmNsMjSZJqWCFXIjPBY2sAhbzhkSRJksbG8EiSpBoVY6SYK5Gun7hv10fDI5dmS5IkaYwMjyRJqlGl4jAxMuE7jwAKueKEnVOSJElTm+GRJEk1anSxdWXCIzuPJEmSNDaGR5Ik1ajRgCddiZ1HhkeSJEkaI8MjSZJqVDFXXmo9sZ1HacDwSJIkSWNneCRJUo0q5EfG1uw8kiRJUoIMjyRJqlGV2Hk0euc2wyNJkiSNleGRJEk1qji682gCw6OsY2uSJEkaJ8MjSZJqlGNrkiRJqgWGR5Ik1aijd1urn7hv13XpQKgLR7uaJEmSpFMxPJIkqUaNhkejo2YTIYRApj5l55EkSZLGzPBIkqQaVcxPfOcRYHgkSZKkcTE8kiSpRhVyJUKAVLoC4VHe8EiSJEljY3gkSVKNKuaGSdenCCFM6HntPJIkSdJ4GB5JklSjCrni0bujTaRMfYrCkOGRJEmSxsbwSJKkGlXID5PJTnx4lM6mju5TkiRJkk7F8EiSpBpVyJVIV6rzyLE1SZIkjZHhkSRJNaqYL1Wk8yjTYHgkSZKksTM8kiSpRhVyJTINFQiPsoZHkiRJGjvDI0mSalQhV6HOI8fWJEmSNA6GR5Ik1ahivkS6fuK/VWfqUwyXIqXi8ISfW5IkSVOP4ZEkSTWqkp1Ho+eXJEmSTsXwSJKkGlXIlY4GPRPJ8EiSJEnjYXgkSVINisORYn6YtOGRJEmSEmZ4JElSDSoWyvuIHFuTJElS0gyPJEmqQaPBTiXG1ka7mYqGR5IkSRoDwyNJkmpQJcMjO48kSZI0HhUNj0II14cQng8hrA8hvPtljvu1EEIMIayqZD2SJE0WxXw52Ek7tiZJkqSEVSw8CiGkgNuBG4CLgFtCCBed4LhW4J3AY5WqRZKkyaYqnUd5wyNJkiSdWiU7j14JrI8xbowx5oHPAa8/wXEfAD4MDFWwFkmSJpXRYCdTP/Hfqo+GR0OGR5IkSTq1SoZH84Ftx7y9feSxo0IIlwILY4z3vNyJQgi/HUJYHUJYvW/fvomvVJKkGjMa7GTq0xN+bsfWJEmSNB6JLcwOIdQBHwX+56mOjTHeGWNcFWNc1d3dXfniJElK2As7jyb+W3UqXUddXXBsTZIkSWNSyfBoB7DwmLcXjDw2qhVYDjwUQtgMXA7c7dJsSZIqu/MIINOQsvNIkiRJY1LJ8OhxYGkIYXEIIQvcDNw9+s4Y4+EY48wY46IY4yLg+8DrYoyrK1iTJEmTQjE/DFTmbmtQDqUMjyRJkjQWFQuPYoxF4FbgXuA54AsxxmdCCO8PIbyuUteVJGkqKOSKQOU6j9LZFEXDI0mSJI3BxG/hPEaM8evA11/y2G0nOfaqStYiSdJkUsgNU5cKpNKV+XceO48kSZI0VoktzJYkSSdXyJcq1nUEhkeSJEkaO8MjSZJqUDFXqti+IzA8kiRJ0tgZHkmSVIMKOTuPJEmSVBsMjyRJqkGOrUmSJKlWGB5JklSDymNrlfs2na5PUcwbHkmSJOnUDI8kSapBVRlbGyoRY6zYNSRJkjQ1GB5JklSDqhEeDQ9HhouGR5IkSXp5hkeSJNWgQr5EpsJ3Wxu9jiRJkvRyDI8kSapBxdww6Qp3HgEuzZYkSdIpGR5JklSDqtZ5NGR4JEmSpJdneCRJUo0ZHo6UCsNkGhxbkyRJUvIMjyRJqjHFkVGydCU7j7KOrUmSJGlsDI8kSaoxo91AFb3bWoPhkSRJksbG8EiSpBozGuhkspX7Nj0aTBUNjyRJknQKhkeSJNWY0fCokndbSzu2JkmSpDEyPJIkqcaMdgNVdGyt3vBIkiRJY2N4JElSjTm686iSC7OPhkfFil1DkiRJU4PhkSRJNaYaY2updB11qUAhN1yxa0iSJGlqMDySJKnGHB1bq2DnEZS7jxxbkyRJ0qkYHkmSVGMK+XI3UKahGuGRY2uSJEl6eYZHkiTVmEJVO48cW5MkSdLLMzySJKnGVGPnETi2JkmSpLExPJIkqcYUc6XyQuu6UNHrOLYmSZKksTA8kiSpxhTyJTIV7jqCcmdTMe/YmiRJkl6e4ZEkSTWmmCuRrq/8t2jH1iRJkjQWhkeSJNWYQq5U8WXZMBIeDTm2JkmSpJdneCRJUo2p1thapj5FwbE1SZIknYLhkSRJNaaQq1J4lC2PrcUYK34tSZIkTV6GR5Ik1Zhifph0NcKjhhRxOFIq2n0kSZKkkzM8kiSpxlRz5xFAMWd4JEmSpJMzPJIkqcYUcqWqdB6lRwKqfM6l2ZIkSTo5wyNJkmpMsYoLs6EcVkmTwXAc5o4n7uAXvvgLvPGeN/L0/qeTLkmSpGnB8EiSpBrj2Jp0Yh//8cf5m5/8DUvbl7J3YC+//a3fZvPhzUmXJUnSlGd4JElSDSkVhxkuRTL1lf8W/ULnkWNrqn1rDq7hH57+B3753F/mjqvv4NM3fBqADz32Ie8YKElShRkeSZJUQ0ZHyNJV7DxybE2Twd888Te0Zlv5g1V/QAiB+S3z+W+X/De+t+t7rN6zOunyJEma0gyPJEmqIcV8Ocip6s6jvOGRatvW3q08tO0hbj7/Ztrq244+/uvn/Trt9e3887P/nFxxkiRNA4ZHkiTVkNEuoKqGR0OGR6ptX9nwFUII/Mb5v/GixxvSDfzK0l/h4e0Pc3DoYELVSZI09RkeSZJUQxxbk14sxsg9G+/h8rmXM6tp1nHvf+2S11KKJe7dfG8C1UmSND0YHkmSVEOqObaWHr3bmmNrqmFrDq5hR98Orl90/Qnff17HeSxpW8KDWx+scmWSJE0fhkeSJNWQQm4YqE54lErVUZcOdh6ppj247UECgVcvePVJj7ly/pX8cM8PGSwOVrEySZKmD8MjSZJqSDV3Ho1ex51HqmXf3fldLp55MV2NXS96PA4PH/3zlfOuJD+c54d7fljt8iRJmhYMjyRJqiHV3HkEI+GRY2uqUQOFAZ7Z/wyvnPvKo4/1PfII66+9jjUrLmH7//g9ij09XDr7UrJ1Wb6787sJVitJ0tRleCRJUg2p5s6j8nXSjq2pZj2x9wmKschlsy8DoO+R77Dtt99GXX09Hb/xBvq+/W22/Ze3Up+P/NTsn+K7OwyPJEmqBMMjSZJqSNXH1rJ1hkeqWT/Y/QPSIc3KWSspHTrEzj/6I+rPPYdFn/8cc267jfl/9f8x9Oyz7L/jDn563k+z4fAG9g3sS7psSZKmHMMjSZJqyOgIWTpTnW/RmYaU4ZFq1uN7HmfZzGU0ZZo48MlPUTpwgMF33cbNn/kJr3j/fXzgQCdNr/9lDnzyU6wszgXgyf1PJly1JElTj+GRJEk1pJArkc7WEepCVa7n2Jpq1dF9R3NeSenwYXr+6Z/gql/gN+4/wJaD/fzs0m7+7Uc7eF/3zwDQfff3SdeleWrfUwlXLknS1GN4JElSDSnmSlUbWQPH1lS7nj3wLKVYYuWslRy++6sMDwzw0ZmX05hN8eXfvZK/vuUV/OVNK/n2ftj1Uz/LkS/fzYqGc3lqv+GRJEkTzfBIkqQaUsiXqnanNRi525rhkWrQMweeAeDCzgs59MUvMrD4PL5VaOd9r1vO3LZGAH7pknncsHwOf9mygjgwwLWbW3l6/9OUhv2aliRpIhkeSZJUQwpDJbIN1QyP0hQNj1SDnjnwDHOa59C69QC5tWu5e96lLJs3g1+8eM6LjvvD6y/g6dYF9HfP44LH9zJQHGDD4Q0JVS1J0tRkeCRJUg0pVrnzKF1fHluLMVbtmtJYPHvgWZZ1LePIffcR6+r48ozzefvPnUMIL94HtmhmM79w4Wy+OecSmp7aSHtf5Ml9Ls2WJGkiGR5JklRDCtXeeVSfIkYoFYardk3pVHrzvWzp3VIOj771LXYuPJ/Q0cl1y+ac8PjfvPxs7p95IcTIT29u4NkDz1a5YkmSpjbDI0mSakghN1zl8Chdvm7e0TXVjucOPAfAxblZ5Nat5xvt5/O6S+aRTZ/4R9efOXcmvXPP5siMLq7clGVtz9pqlitJ0pRneCRJUg0p5IpVDo/KPwoUhgyPVDtGl2UvfO4AAN/vPp/Xr5x30uPTqTquv3gu3+m+gMVre9m0by3D0W46SZImiuGRJEk1pJArkU6i88il2aohaw6uYV7zPIZ/8CN622aSmz2PlQs7XvY5Nyyfw2MzzyOdLzF/6wA7+nZUqVpJkqY+wyNJkmpIIV/tsbXUyHUNj1Q71vWs47wZ5zDw/cd4bOZSfuHCOaTqwss+57JFnayfs5ThEFi+eZi1Bx1dkyRpohgeSZJUI+JwpFj1hdkjY2t2HqlGFEoFNh/ezMreDob7+vhhxxJ+/sJZsO1x+OQvwv9dCv/2Nhg4+KLnNWRSXHLhArZ2LWT5Ftx7JEnSBDI8kiSpRhRH7niWySYwtubOI9WIzb2bKcYi520v//ewpmsRV6bXwKdfCz1bYMnPwTP/Bv94PQwdftFzf+68bh7vWMJ5OyMb9jyXRPmSJE1JYwqPQgj/FkK4MYRg2CRJUoWMdv8kMbZWdGxNNWL9ofUAzFx/gMMtHSw5p5uWe/4btC2Atz0Mv/b38JtfggPr4Rt/+KLnXnFOF892LiI1DAPPPp1E+ZIkTUljDYP+BngjsC6E8OchhPMrWJMkSdNSIVcEqhsepUe6nBxbU61Y17OOdEiTenodT7adxf+ovxuO7IJfuROaZ5YPWvxq+Nnfh598FrY+dvS553a3sHveOQDMWL+HweJgEi9BkqQpZ0zhUYzx/hjjm4BLgc3A/SGE74YQ3hJCyFSyQEmSpotCbmRsrZqdRw2GR6ot6w6t4+I4j9Lu3WzqnMOqff8Gy38dFvzUiw/8md+Dppnw8IePPlRXFzjvwkXsb2lh6c7Ilt4tVa5ekqSpacxjaCGELuDNwFuBHwN/RTlM+lZFKpMkaZpJZGwt68Js1ZZ1Peu4fH87AEu6d5EqDsCr/+D4A7PN8NO3woYHYM8zRx9+5eJOnu2Yz9IdkU2HN1WpakmSprax7jz6d+ARoAn4pRjj62KMn48x/negpZIFSpI0XRRHApx0FcOjulQdqUyd4ZFqwkBhgB19O1i6fZhCOsuN3T+CxT8H3SfZmPCK/wR1GfjRPx19aOXCdta0nUN3L+zY4t4jSZImwlg7j/4uxnhRjPH/xBh3AYQQ6gFijKsqVp0kSdNIEp1HUL67m+GRasHWI1sB6F5/gD2dncwLe+EVv3XyJzR3wQU3wpOfg2IOgIvmzWBt52IABn7yk4rXLEnSdDDW8OiDJ3jsexNZiCRJ093RhdnZKodH9amjXU9SkjYf3ky6GMlu3Em6I08h1QQXvvbln7TyjTDYA5v+A4CmbJqw9AKKdZBds7nyRUuSNA2kX+6dIYQ5wHygMYTwCiCMvGsG5RE2SZI0QQr5kYXZDVUOjxrsPFJt2Ny7mYX7IZRKnNe1g4Gzf4G2TOPLP2nJVZBthefuhqXXAHDBom62drXSvbGH0nCJVF11/5uSJGmqednwCLiO8pLsBcBHj3n8CPC/K1STJEnTUmFoZGytyp1HacfWVCM2925mZc8MoIfujl5SK3/l1E9K18N518Gae+DGv4RUmhUL2niuaxav2biBHUe2c1bb2RWvXZKkqexlx9ZijJ+OMb4GeHOM8TXH/HpdjPHfqlSjJEnTQiFf/YXZUB5bG722lKQth7dwwcEGSuk6Qksgdf61Y3viBTfCwAHY+SMALp7fxsbWs2jKw9bnV1ewYkmSpoeXDY9CCL858sdFIYTff+mvKtQnSdK0UciVSGfqqKsLpz54AmXq7TxS8mKM5bG1nUVS7ZGdM1ZAfevYnrzkKiDA+gcAuHDuDDa3ngvAgad/VJmCJUmaRk61MLt55PcWoPUEvyRJ0gQp5kpV7zqCkfBoyPBIyTowdID+/BHatx2io+MIg2dfNfYnN3XC/Ethw7cBaMikyCy5mGGgsG59ReqVJGk6edmdRzHGT4z8/r7qlCNJ0vRVyJXIJBUeObamhG0+vJnZPZDOFWhoL9J60RhH1kad8/PwyEdg8BA0tnPh4tnsbk+T3bizIvVKkjSdnKrzCIAQwl+EEGaEEDIhhAdCCPuOGWmTJEkTINHwyLE1JWxL7xYW7YkAFNpTzD3/leM7waKfgTgM2x8HYNn8NjZ3ttC+7dAEVypJ0vQzpvAIuDbG2Au8FtgMnAu8q1JFSZI0HRXyyYZHMcaqX1sataV3C+furYMAW2edR11qnP8tzF8FIQVbvw/A+bNb2dzRSdfBIvkjvRWoWJKk6WOs4dHoeNuNwBdjjIcrVI8kSdNWYSi58IgIpcJw1a8tjdrUu4nz92epbytwsPsV4z9BfQvMWQ7bHgPgvNktbJwxjzpg59Pfn9hiJUmaZsYaHn0thLAG+CnggRBCNzB0qieFEK4PITwfQlgfQnj3Cd7/9hDCUyGEJ0II3wkhXDS+8iVJmjoK+RLpbELhETi6pkRt6d3C/N15GtoLxAWvOr2TLLwcdvwQSgXam7Ic6F4KwP4nfziBlUqSNP2MKTyKMb4b+GlgVYyxAPQDr3+554QQUsDtwA3ARcAtJwiH/jXGeHGMcSXwF8BHx1e+JElTR1I7j0YDK8MjJaU4XOTg3q209BbJtBWZef5Pn96JznoVFAZg91MAtJ+1nIEsDD7/3ARWK0nS9POyd1t7iQuARSGEY5/zmZc5/pXA+hjjRoAQwucoB07Pjh4wskdpVDPgsgVJ0rSV5MLs0etLSdjZt5M5+4oA7G7tZOnC2ad3ooWXl3/f9hjMv5QLZ53F1u46utdvnaBKJUmansZ6t7V/Av4f8DPAZSO/Vp3iafOBbce8vX3ksZee+3dDCBsodx694yTX/+0QwuoQwup9+/aNpWRJkiadYlLhUYPhkZK17cg2Fuwv/xvihpnn0dqQOb0Ttc2HGQuO7j26YO4MtnQ20Lz9gAvhJUk6A2PtPFoFXBQr8F03xng7cHsI4Y3Ae4D/fIJj7gTuBFi1apXf+SVJU06MMbm7rTm2poTt6NtRDo9Skb0LT3Pf0aizXgVbvgcxsnR2K4+3t9EwsIvSgQOkZ86cmIIlSZpmxrow+2lgzjjPvQNYeMzbC0YeO5nPAb88zmtIkjQlFAvDEHFsTdPSrv5dLNwH9TMKcPblZ3ayhZfDkZ3Qu4Ols1rY1toNwNCGDRNQqSRJ09NYw6OZwLMhhHtDCHeP/jrFcx4HloYQFocQssDNwIueE0JYesybNwLrxlq4JElTSWGoHNwYHmk62tG3g7MOAG2B+QvPPbOTzVtZ/n3XT2htyHC462wADj7/5JmdV5KkaWysY2t/Ot4TxxiLIYRbgXuBFPCPMcZnQgjvB1bHGO8Gbg0hXA0UgB5OMLImSdJ0MBrcjN75rJrceaSkHdi3lfYjkQOL2jh3duuZnWz2MiDArifhghtpmns+Q5mvUnj+ac6akGolSZp+xhQexRgfDiGcDSyNMd4fQmiiHAid6nlfB77+ksduO+bP7xxnvZIkTUnFfIKdR+48UsLCpu0AbJoxj9fPbDqzk2WbYeZS2F3uNLqgewk7umD2ho1nWqYkSdPWWO+29l+Bu4BPjDw0H/hyhWqSJGnaGQ1ukgiP0iPXHA2wpGrKl/I07+gBYOvsi6hPT8B/A3NWlDuPgItnL2JHVx11W3ad+XklSZqmxrrz6HeBK4FegBjjOmBWpYqSJGm6STI8qqsLpDN1R/cuSdW0q38XC/ZHhlORniVneKe1UXNXQO92GDjIubPa2N7eSFNPP6W+/ok5vyRJ08xYw6NcjDE/+kYIIQ3EypQkSdL0k2R4BOXuI8fWlISdfTtZsB9KbcPMmH/BxJx0zory77t+wpKZzWxrawcgv2nTxJxfkqRpZqzh0cMhhP8NNIYQrgG+CHy1cmVJkjS9JB0eZepTFBxbUwJ29u1k/oHI0Ix6zp01Y2JOOveS8u+7n6SzOcvu9m4A8hs3TMz5JUmaZsYaHr0b2Ac8BbyN8hLs91SqKEmSppuaCI/sPFICdh/cQncv9DR1snR2y8SctKkTZiyAXU8SQmCo+2yKdTCwfu3EnF+SpGlmrHdbGw4hfBn4coxxX2VLkiRp+hkNbtKGR5pm+p7/CQDrWxbwM90TFB5Bee/RyB3X5rQtYHcHZNetYe7EXUGSpGnjZTuPQtmfhhD2A88Dz4cQ9oUQbqtOeZIkTQ+jdzrLZMfaFDyxMvUpioZHSkBp82YANs+8iOb6Mf275tjMWQH710G+n8XtC9nVGchvdOeRJEmn41Q/of4e5busXRZj7IwxdgKvAq4MIfxexauTJGmaKAyVSGXqqEslFx7lDY+UgPTuQwAcPneC7rQ2as5yIMLeNVzUfTa7OiHs2kscHp7Y60iSNA2c6ifU3wJuiTEe/WeaGONG4DeB/1TJwiRJmk4K+RKZbDIjawDprGNrqr5CqUDr/gKDTbBg4byJPXn3heXf9z3HJXPPYldHHalCieKuXRN7HUmSpoFThUeZGOP+lz44svcoU5mSJEmafgq5UmLLsgEyDY6tqfp2D+xmzsHIkRlpFnc3T+zJOxdDqh72Psc53TPY1doKQH7r1om9jiRJ08CpwqP8ab5PkiSNQyFXSmxZNrgwW8nYdWgTc3ugp6WVRV1NE3vyuhTMPA/2raG5Ps2+9pkA5LdsmdjrSJI0DZwqPLokhNB7gl9HgIurUaAkSdNBMenOo2yKQr5EjDGxGjT97NrwfdoGYGfzLBZ1TXDnEcCsC2HvGgCK7fPIpyG/xc4jSZLG62XDoxhjKsY44wS/WmOMjq1JkjRBEh9bq09BhGLBZcKqnt7nfwLAusbzmNvWMPEXmHUB9G6HoV5mNc9jdzsMbfaOa5IkjVcyt3SRJEkvUsjXQHhE+a5vUrXktm4DYM/8S0hX4k6DR5dmP8/C1nns7gz0b9o48deRJGmKMzySJKkGFIZqJDxy75GqKOw+zHCA+kWLK3OBWReUf9/3HOd2nsXuDog7dhKH7bCTJGk8DI8kSaoBhVyJTDa5b8uj4VExb3ik6mk4UODwjMDCWTMqc4H2RZBuhL1rWD5rMbs6AnWFIsXduytzPUmSpijDI0mSakB5bC2d2PXtPFK1FQcP0dET2T+jnrMrsSwboK4Ous+Dfc+xYu5CdreXf/T1jmuSJI2P4ZEkSQmLMVLMlUjXJ9955M4jVcue7d9n7kHY29LG2Z1NlbtQd/mOax1NjexuawO845okSeNleCRJUsKK+WFihGxDcp1H6dHwyLE1VcnuNY/SUIDNzXNZNLOC4dGsC+DIThg8xEDrLPLpYOeRJEnjZHgkSVLCRkfFXJit6eTgumcAeL5pKQs6Ktl5NLI0+8B6ZtTPYk97Hfmtdh5JkjQehkeSJCUsP1QEINNgeKTpY2D7TgAGuy+gIVPBr/2uc8u/71/HrMbZ7OoYJrd5U+WuJ0nSFGR4JElSwkb3DGVrYWG2O49UJaU9RyikoOWssyt7oY5FEFJwYB0LZ8xjdyfkt24jDg9X9rqSJE0hhkeSJCWskEu+8yiddeeRqqhUINtTYn97HYtmtlb2WqlMOUA6sJ5zOhawqyMQCgWKu3dX9rqSJE0hhkeSJCUsP9Ltk2R4VFcXSGfrHFtTdfRspvkQ7J1Rz1ldFdx3NGrmUti/nmWzz2Z3R/kh9x5JkjR2hkeSJCVsNLBJcmwNyqNrhkeqhuKe5+g8HNjT0sqirubKX7DrXDi4geXdC9ndGQDIb/aOa5IkjZXhkSRJCSvUQOcRlMOjouGRqmDvusfIlmBr82zO6qxC51HXuVAcoi13mJ7mRvJp77gmSdJ4GB5JkpSwo3dbq08+PLLzSNWwd/3TAGxtnM/Z1RpbA9i/jmxdF3vbsuS32HkkSdJYGR5JkpSwo2NrCXcepbOpo8u7pUo6vGMnAH3ti2ltyFT+gl3nln8/sJ62TDe72wKF7dsrf11JkqYIwyNJkhJWGCqRytRRl0r223K2IXV0ebdUSUP7jlAK0DjvoupcsGU2ZFvhwHq6G2ezu6NEfts2YozVub4kSZOc4ZEkSQnL50qJj6wBZBrSjq2p8gYOEg8Pc2BG4OxZM6tzzRBg5rmwfx0LWuexr6NIHBigdOhQda4vSdIkZ3gkSVLCCkPFxEfWYLTzyLE1Vdj+ddT3Bva1pauz72hU17lwYD3ndCxgb3v5ocK2bdW7viRJk5jhkSRJCcsPlcjUp5Muo9x55NiaKu3AOloPB3a3Nlc5PFoKh7dxYecs9rYHAPKGR5IkjYnhkSRJCSvkaqnzqOQeGFVUYeszNA8Ftrd0clZnc/Uu3HUOAEsosbdtpJbtO6p3fUmSJjHDI0mSElYYKpGpifAoTRyOFAvDSZeiKWz/xucA2Nk0i0XV7DyauRSA2f0HyWUDvU31FLbbeSRJ0lgYHkmSlLBCrSzMHqnB0TVV0v6RUbEDrfPpbM5W78Kd5c6jbM9msrSxZ0aW/Pbt1bu+JEmTmOGRJEkJyw+VyDQkv/Mo21iuwaXZqpgYObL/MABhznmEEKp37foWaJ0H+9fTmp7JrrZAYZvhkSRJY2F4JElSwgpDRbJ2Hmk66N9PvjdyuAnmzVpS/evPPBcOrGNm4xz2tg9T2LWLWDQslSTpVAyPJElKUIyxPLZWCzuP7DxSpR3cSDiSYm97HefMnFn963edCwfWM695Dns781AqUdi9u/p1SJI0yRgeSZKUoGJhmBipiZ1Ho3d8y9t5pEo5uJGG3jr2zKjn7M4qLsse1bUUhg6zpLmdfR3lkLSwzaXZkiSdiuGRJEkJGh0Ry9bCzqORGgp2HqlChveso+UI7Gxp5eyu5uoX0FVemr00m2JPe3nfkkuzJUk6NcMjSZISNDoiVgtjaxk7j1Rh+Q3PUUdgZ0snZ3cl0HnUWd6zdFYxz4FWKNXVuTRbkqQxMDySJClBRzuP6mun88idR6qUnq2bANjbMps5MxqqX0D7WRDqmDNwiFgXODijmcJ2x9YkSToVwyNJkhJUyJXDo1rYeZTO1hGCd1tT5Rzcsx+A3MzF1NWF6heQrocZC+g6tJNAij0zsuS376h+HZIkTTKGR5IkJaiWxtZCCGQa0nYeqTIGDtJ3uMRQBtrmnJNcHZ2LqevZRFNdFztbgguzJUkaA8MjSZISdLTzqAbCIyjfcc2dR6qInk2U+tLsaYdzOs5Oro7OJXBwEx313ezpiJR6eij19SdXjyRJk4DhkSRJCaqlu61BeXzOu62pIg5uInWkjj3tKc6b1Z1cHZ2LYfAgcxu62NuRB6Cww6XZkiS9HMMjSZISVEs7jwCyjWk7j1QRcf8GmnoDu1sbOaszgTutjRq549qibCN7uwYBHF2TJOkUDI8kSUpQLe08AjuPVDnFLWtIlwK7WmdwdldzcoWMhEfnpFPsa48A5LfbeSRJ0ssxPJIkKUGFoRKpdB2pVG18S7bzSJWS37wBgN0tXcxvb0yukI5FACwsDtHXCLn6egrbDI8kSXo5tfGTqiRJ01Q+V6qZriOAbH3Ku62pInp37gLgSMd8sukEfwTNNkPLHOb0H4YQ2N/WSsHOI0mSXpbhkSRJCSoMFcnWUHiUaUwfXeItTZihXnp6cpQCpGefk3Q10LmEOYfLYdbu1qxja5IknYLhkSRJCSrkSjWzLBtGO49KxBiTLkVTSc8mBvsy7G+DBR1nJV0NdC6m9eBm0jSwo6WOwvbtfs1LkvQyDI8kSUpQfqhEpj6ddBlHZRvTxOFIqTCcdCmaSg5uYrgvxZ72wAVdZyddDXQuJvTtpi0zk91tkZjLUdy3L+mqJEmqWYZHkiQlqObG1ka6oFyarQl1cCOZI3XsaUuxtHtW0tUcvePa7EwrezsKAO49kiTpZRgeSZKUoPxQiWxjbXUeAS7N1oQq7VhL/VBgV2sTi2e2JF0OdCwGYGG6nr1dg4DhkSRJL8fwSJKkBOUHa7PzyKXZmkiFzesB2NPSxlmdTQlXA3SWw6NFoY4DXQMA5LdtS7IiSZJqmuGRJEkJyg8Va6vzqGF0bM3OI02c/PYdABxsn0VjtgbC0sYOaOxkQXGQQjrQP6ONwkiNkiTpeIZHkiQlpFQappgfrq3w6OjYmp1HmiD5AY7s7wWg0F0Dy7JHdS5mTn8PAPtntFKw80iSpJMyPJIkKSGjo2HZhtoJj14YW7PzSBOkZzO9/Rl6G6Gzc1HS1bygcwlzD+8GYGdLPfkddh5JknQyhkeSJCUkP1gOaLKNNTDGM8LOI024gxvJ9afZ0w6L2+cnXc0LOpcw+1B5Sfb2pjqKu3cT8/mEi5IkqTYZHkmSlJDRvUK12HnkziNNmIMb4UiKve2BC2ctSrqaF3QspmF4mKbQzK4ZEWKksGtX0lVJklSTDI8kSUpIfnBkbK2Gdh5l6lOE4N3WNHHi/g1k+gK721NcNGtu0uW8oHMJAN2pVvZ2lsPS/LbtSVYkSVLNMjySJCkhR8fWaqjzKIRApiF9tDbpTBU2r6UuBna3trCoqyXpcl4wEh7NS2XZ2zkIQGG74ZEkSSdieCRJUkKOjq3V0M4jKNdjeKSJkt+6FYC9Mzpoa8okXM0xmmdCtpUFwOH2Iwyn0hR2GB5JknQihkeSJCXkhYXZtdN5BFDfmCZneKSJUMxR2NMDwEBHDY2sAYQAnYtYUBgkZvL0t3eRt/NIkqQTMjySJCkho3c0q6WxNSiHWS7M1oQ4tJX+vhT5FKRnnZ10NcfrXMLcvoMA7Jsxg4I7jyRJOiHDI0mSEpIbLBLqAulsbX07zjamyQ0YHmkCHNxI30CGve2wYMaCpKs5XucS5vTuAWBHc707jyRJOona+mlVkqRppDBYJNuQIoSQdCkvUt/owmxNkIMbyfel2NseOLdzYdLVHK9jMXPzOQC2NqUoHTpEqa8/4aIkSao9hkeSJCUkP1SquX1HMDK2NlhKugxNAfHABuqOpNjTDstnL0q6nON1LmFmqUQgsKMlArg0W5KkEzA8kiQpIbnBYs3tO4LR8KhIjDHpUjTJlbavI1UI7G5LcfGcWhxbW0wa6AhN7O0od9sVtm1LtiZJkmqQ4ZEkSQkpDBXJNqaSLuM49Y1phocjxcJw0qVokits3QzAnhmtzGptSLaYE2mdB6l65oQMezvL42vecU2SpOMZHkmSlJDcYLFmx9YA9x7pzJSK5HftA+BQ+8ya2+0FQF0ddCxifowMtB6h1NBIYfuOpKuSJKnmVDQ8CiFcH0J4PoSwPoTw7hO8//dDCM+GEJ4MITwQQqjBe7hKklQZ+aFSjY6tlbuhDI90Rg5vI99bDozyM+cnXMzL6FzMvPwAIdNLX8cs77gmSdIJVCw8CiGkgNuBG4CLgFtCCBe95LAfA6tijCuAu4C/qFQ9kiTVmnytdh6NBFq5AcMjnYGDGxnqT3OwBbraanDf0ajOJcztO0SoK7JvRjv57e48kiTppSrZefRKYH2McWOMMQ98Dnj9sQfEGB+MMQ6MvPl9oIZ/spAkaWLlh4pkG2pz5xHYeaQzdHAj/f1p9rTDWbUcHnUsZk6+/OPo9qYGCjt2uixekqSXqGR4NB849p9uto88djL/BfjGid4RQvjtEMLqEMLqffv2TWCJkiQlo1QYZrgYa7PzqGmk88jwSGfi4CaKfWn2dATOn3lW0tWcXOdi5hTLX+tbGlLEwUFKBw4kXJQkSbWlJhZmhxB+E1gF/N8TvT/GeGeMcVWMcVV3d3d1i5MkqQJGg5la3Hlk55EmwvCe9aQG6tjTHlgxe1HS5Zxc5xLmFksAbGkudxy590iSpBerZHi0A1h4zNsLRh57kRDC1cAfA6+LMeYqWI8kSTUjP1QOZuoba29s7YW7rZUSrkSTWWHLBgB2t9WxfE4Ndx61LaQjQoY69nYMA5DfZngkSdKxKhkePQ4sDSEsDiFkgZuBu489IITwCuATlIOjvRWsRZKkmjLa1ZOpwc6jTH2KEF4IuKRxGy6R37ELgAMz2sikai8kPSqdJbQtZFZMs6+9/O+YhR2GR5IkHati4VGMsQjcCtwLPAd8Icb4TAjh/SGE140c9n+BFuCLIYQnQgh3n+R0kiRNKfmhcldPLe48CiGQbUy780inr3cnhd6RP3bNTraWsehczLzhYYpNvRTaOsg7tiZJ0otU9CfWGOPXga+/5LHbjvnz1ZW8viRJtWq086i+BsMjKO9iyg8YHuk09Wwi359iMAP1HTV8p7VRHYuZu+N5QuYwfR2zaNt+3KYFSZKmtZpYmC1J0nQzOhKWaajNcR47j3RGDm5kqC/Nng6YP2MShEedS5gzNEBdupf9rV0uzJYk6SUMjyRJSsDoMupa7Tyqb0p7tzWdvgMbGOzPsKc9cG7HwlMfn7TOxcwtFSFEtjc2Uti1i1j061+SpFGGR5IkJWA0mMnW4MJsKHceuTBbpyvu38BwX4q97bB81uKkyzm1ziXMKZYD3Y31dVAqUdi9O+GiJEmqHYZHkiQlID9UpC4dSGVq81txtjFl55FOW3H7RupKsLsjsHLukqTLObWORS+ER43lhxxdkyTpBbX5E6skSVNcbrBYsyNrAPUN7jzSaRoeprCtHLzsbcswq3lmwgWNQbaZOQ2dAOxtGwYMjyRJOpbhkSRJCcj1F6lvyiRdxkllG9PkB0vEGJMuRZNN327yh8vBY09HJyGEhAsam5aOJbTEwIH2HLEuRX6b4ZEkSaMMjyRJSkBuoEB9U+12HmUb08ThSCFXSroUTTYHNpDvS1MKUOyal3Q1Y9exmDmlErG+l0JXt51HkiQdw/BIkqQE5AaKNR8ewQt3hZPG7OBG8kfS7GsLdM+Yn3Q1Y9e5hLn5HOlMD0c6ZxseSZJ0DMMjSZISkBus7bG1+qPhkXuPNE4HNzLYl2FXJyxqW5h0NWPXuZg5xSLpzCH2t3SR37Ej6YokSaoZhkeSJCWg5sfWRmrLDxkeaXzigfUU+tLs7oALZ56ddDlj17GYOcUSpdQg2xtbKe3fz/DAQNJVSZJUEwyPJEmqsjgcydf42Npo55F3XNN4lbZvJBRgV2fg4tlLki5n7DoXM7dU/nrfmC1//RfsPpIkCTA8kiSp6vK5EjFS02NrozuPcgOFhCvRpBIj+a3bANjVAWe3LUi4oHFo6mROXQMAa7Pluwzm3XskSRJgeCRJUtWNBjI13Xk0Uluu384jjcOR3eQPlb9m9nY0MiM7I+GCxmdOSzns2jVjGIDCdjuPJEkCwyNJkqouN1D+y3Uth0cNI11Ro7VKYzJyp7VSHQx1ziaEkHRF4zK7vTxmd6R1iFjfQGH7toQrkiSpNhgeSZJUZS+ER7U7tpbK1JHO1jHk2JrG4+AG8n1p9s5I0dk8N+lqxi3bdS5dpRKpTA/57jnk7TySJAkwPJIkqeomw9gaQENzxs4jjc/BjeSPZNjVGVnYOon2HY3qXMycYpHGzH6OdM6i4M4jSZIAwyNJkqpuMoytQbm+XL+dRxq7eGADub40uzsj53aelXQ549exmDnFEpnsIfa3dFHYvp0YY9JVSZKUOMMjSZKqbDKMrUG5PjuPNB7FbRugCLs6Asu6FyVdzvh1LmFusUgh3cf2hnaG+/spHTqUdFWSJCXO8EiSpCrLDRQIAbL1qaRLeVn1TemjI3bSKcVIYWt5wfTuTlg4Y37CBZ2G1jnMiXUU6kqszzQCOLomSRKGR5IkVV1uoEi2KU2oq+07UTU0Zxjqt/NIY9S3h3xP+etlV0dgYevChAs6DSEwu6ELgDWp8rhaYZt3XJMkyfBIkqQqyw0Ua35kDew80jgd3Ei+L0WpDvra22nKNCVd0WmZ21Je9L1txjAA+a2GR5IkGR5JklRluYEiDTW+LBugvjlDMT9MqTCcdCmaDA5uJH8kzZ4ZaTqaJuHI2oj5HecAUGzsJXbNJL9ta8IVSZKUPMMjSZKqLDdQINtY++HRaMA1ZPeRxuLABvJ9aXZ1Bs6ajCNrI7pmXkD98DAtmd3kuudS2GJ4JEmS4ZEkSVU2ecbWyjXm3HukMYgHNpDry7C7q8j5XYuSLue0ha5zmVss0Zjdw+HO2eS3Gh5JkmR4JElSleUGCtQ3137n0WiN7j3SWBS3rYdieVn2BTMXJ13O6es6h/nFIqnMIfa0dlPcu5fhwcGkq5IkKVGGR5IkVVGMcfLsPBrpPBoasPNIpxAj+a3lW9rv7oCzWs9KuKAzMGMB80qRXGaArQ0dAOS945okaZozPJIkqYqKhWGGS3FSjK012HmkserfR/5g+etkV2fgrBmTODyqq2NefTsDqSJrUo0AFBxdkyRNc4ZHkiRV0ej+oMmwMNudRxqzAxvIH0mTTwd625tpq29LuqIzsqB5DgBPpcpf+/mtdh5JkqY3wyNJkqpotIunfhKMrWUb0xC825rG4OBGcr1pdrZn6G6an3Q1Z2xe2xIAeup7CW1t5LduSbgiSZKSZXgkSVIV5Ub2BzVMgrG1urpAfWPaziOd2oH15HszbO8KnD2ZR9ZGzJu5DICOzHZKc+c7tiZJmvYMjyRJqqLcYDmImQx3W4Nyh5Q7j3Qqw7ufp9CfYkd3kfO6FiVdzhnrmr2C+uFhZmR30t81x7E1SdK0Z3gkSVIV5fonz9galPceDdl5pFPIb1gHwM6uyOK2sxOu5syFmUuZVyyRzhxgf1s3hZ07ifl80mVJkpQYwyNJkqposK8cHjW0ZBOuZGwamu080ikMl8hv2wnAzq7AwtaFCRc0AZpnMm8YhrN97GjqguFh8jt2JF2VJEmJMTySJKmKhvoK1NUFsg2ppEsZk/qmzNE9TdIJHdpC7hBEYFcnnDUFdh4RAvMzLRxJ51ifaQegsM3RNUnS9GV4JElSFQ31F6hvyRBCSLqUMXHnkU5p/zryvWkOtGYZzjbQ3diddEUTYn7jLPpSkadCuUswv8Wl2ZKk6cvwSJKkKhrqK9DYUvt3WhtV35wh118kxph0KapV+9eRO5JmW0eGuU0LJ00weirzZpR3N20qHSQ0NZH3jmuSpGnM8EiSpCoa6i/Q0DyJwqOmNMPDkUKulHQpqlFx7/PkezNs746c27E46XImzPyuCwCYmd1CmL+AguGRJGkaMzySJKmKBvsKNEyizqPRoGuoz9E1nVhx8xpiKbCzO8fSKRQezZt9CQAdme0Mdc+180iSNK0ZHkmSVEVD/ZMrPBodsRvqNzzSieU2bQZgZxcsaluUaC0TqXPOShqGh6nP7ONQxyzy27cTS3bgSZKmJ8MjSZKqJMZIrm9yja01tpaXBQ8eMTzSCQz2kN/bD8COLljcNnU6j0JjO/OGIWYPs7tlJhQKFHfvTrosSZISYXgkSVKV5IdKDA/HSbUwe7RLarAvn3Alqkn715M7kmagPkVvEyyasSjpiibUvFQTQ5lBNtV3ApDfsiXhiiRJSobhkSRJVTI0EsBMqs6jFnce6WUcWEe+N82O9npmZLtoybYkXdGEml/fycF0iWdT7QDkNm1KtiBJkhJieCRJUpUM9RUBJtXOo2xjmrq64NiaTmz/WnK9abZ21bF4Cu07GjW/ZT5HUoFN+T7qmprIj+x3kiRpujE8kiSpSgYnYedRCIGGlszRrinpWKVtz1EaSrGru8jSziVJlzPh5nUuBaCp9Byps88mv3lzsgVJkpQQwyNJkqokN3LHssnUeQTQ2Jph0LE1nUB+43oAdnTnp9y+I4AFs1cC0J3dTGHeQvKOrUmSpinDI0mSqmQ0gJlMnUcADS1Zx9Z0vFKRoS17ANg2M0ypO62NWjj/VQA0ZndzeOY8Cjt3Mjw0lHBVkiRVn+GRJElVMtRXINQF6hvTSZcyLo0tGYb6DY/0Eoe2kDsUyKfr2NcOZ884O+mKJtyMxk7ahyFkD7KnbTbESH7L1qTLkiSp6gyPJEmqksEjeRpbMoS6kHQp49LYkmHwiDuP9BL715E7nGFHRwN1dRnmt8xPuqKKWJBqYiAzwKbGLgBH1yRJ05LhkSRJVTJwpEBjazbpMsatoSVDbqBIqTScdCmqJQfWkTucZvPMLAtaFpCum1wddWN1VuNM9mWGWV/XBEB+s+GRJGn6MTySJKlKBo/kaZoxufYdAUcDr1x/MeFKVEuKG5+kNJRi2+wSSzvOTbqcilk4YxG70yn6D28hPXu2nUeSpGnJ8EiSpCoZPJKftJ1HgKNrepHc2mcB2Dp7gHOncnjUdSHDIZAafJrMokXkNm9OuiRJkqrO8EiSpCqZrGNrjaPhUZ9LszUiRnKbdwCwrRvOaT8n4YIq56x5qwCYkd5MYd5C8ps2E2NMuCpJkqrL8EiSpCoo5EoUcyWaZkzC8Ggk8BoyPNKow9vIHRhmMJuipwWWti9NuqKKWTjSVVVfv4dDXXMZ7u2ldPBgwlVJklRdhkeSJFXB6MhXY+vk23nk2JqOs3cNucNptnc2kK7LcNaMs5KuqGK6GrpoJDCc6WXnjFmAd1yTJE0/hkeSJFXBwNHwaPJ1Ho2GR0P9dh6pLO59ltzhDJu7syxuW0ymbvKFomMVQmBhupUjmSHWZzsAyBkeSZKmGcMjSZKqYLC3HB5NxrG1VKqO+qY0g0cMj1RWXP8kw4U6ts0pcm771F2WPWph02y2Z1Lszx0mZLPkN21OuiRJkqrK8EiSpCoYDV4mY+cRQENzhsE+x9ZUNrTmOQA2zZnad1obdVb7OWzPpAk9a8mefZZja5KkacfwSJKkKhjonbw7j6BctwuzBcDwMEObdgGwpZtp0Xm0oHs5hRDI5J4nffYi8ps3J12SJElVZXgkSVIVDB7Jk21Ikc6kki7ltDS0ZB1bU9nhbeQOwMHWLEP1YVqER2d1nQ9Ac3ob+bkLyW/bRiz434MkafowPJIkqQoGj+RpnIT7jkY1tma825rK9q1h6FCGTd2N1KcamN8yP+mKKm5h60IA0tn9HOicA8Ui+W3bE65KkqTqMTySJKkKBnrzNE3SfUcAzW31DB7JMzwcky5FCStt+QmFvjSb5mY5p30JqbrJ2U03HnOa5lBPHUPZI2xrnQ1AbsP6hKuSJKl6DI8kSaqC/sN5mtvrky7jtDXNyBIjdh+JoSdXA7B5Xm5ajKwBpOpSnFXfwc5sYEcYBiC/3vBIkjR9GB5JklQF/YdyNLdN4vCordw1NXDY8Gi6G1izDoB1s/u5oPOChKupnkWtZ7Epk6Z4eCOZ+fPJrd+QdEmSJFWN4ZEkSRWWHypSyJVoap/cY2sA/YdzCVeiRBVzFHb0MNiQoqeFaRUeLe6+mB3pNA2HniN77jnk7DySJE0jhkeSJFVY/6Fy4DKpO49Gln0P9Np5NK3tW0OuJ8W2rkYIYVqFR4u6LqAUApniOrJLziG/cSOxWEy6LEmSqsLwSJKkChsd9ZrUO4+Ojq3ZeTSdxR1PkjucYfPces5qPYvWbGvSJVXN4rbFAGTrd9I372xioUB+27aEq5IkqToMjyRJqrDRUa/mtsk7tpbOpKhvStPvzqNpbejH3yUOBzbML3Jh14VJl1NVi2YsAiCX6WVP28zynx1dkyRNE4ZHkiRVWP+hkc6jSTy2BtDUVu/C7Gmu98mnAHh2bh8Xdk6v8Kgl20JXuoVt2Tr2Mwh4xzVJ0vRheCRJUoX1H86Rrk+RaUglXcoZaZqRZaDXsbVpK0YKm/aQz9axp51p13kEsKR1IZsyGQoH13vHNUnStGJ4JElShfUfztHcliWEkHQpZ6S5LevY2nR2ZDf5/ZHt3eVl2dOt8whg8cyL2JzJkDnwrHdckyRNK4ZHkiRVWP+h3KQfWYMXxtZijEmXogQMb/kRucNpNixsZG7zXDoaOpIuqeoWtZ9Db6qO7OA66s891zuuSZKmDcMjSZIqrP9wflLfaW1Uc1uWUnGY3IB/WZ6Ojjz2EMTA2oWRCzovSLqcRIwuzQ5122HxOeU7rm3dmmxRkiRVgeGRJEkVFIcj/T25KREeNY3cLc6l2dPT4R/9CICnZh+elvuOABa3LQagP9vP/rZOAHJr1iRZkiRJVVHR8CiEcH0I4fkQwvoQwrtP8P5XhxB+FEIohhB+vZK1SJKUhIEjeUrFYVo7G5Iu5Yw1zygHYP0uzZ6WSpt2MtRUx8FWWN61POlyEjG3eS6ZkGZTNsOBwn5Ipxl6fm3SZUmSVHEVC49CCCngduAG4CLglhDCRS85bCvwZuBfK1WHJElJ6jtYDlpauyZ/eGTn0TQ2cJDh/UV2zGkEYEX3ioQLSkaqLsXi1rPYkMlQ2Ps09YsX23kkSZoWKtl59EpgfYxxY4wxD3wOeP2xB8QYN8cYnwSGK1iHJEmJOXJwCIDWzqkwtlZ+DYZH009uzXfIH0mzfmEDi2Ysoq2+LemSErN05oU8n62naf/T1F9wAUNr7TySJE19lQyP5gPbjnl7+8hj4xZC+O0QwuoQwup9+/ZNSHGSJFXDaHjU0jH5O4+yDSnSmTrH1qah3fd/E4Afn5Xnku5LEq4mWUvbl7IvXUfz4PM0nH8exV27KB06lHRZkiRV1KRYmB1jvDPGuCrGuKq7uzvpciRJGrO+g0NkGlLUN6WTLuWMhRBoaq9n4JDh0XST+8mTxBB5evbAtB1ZG7W0YykAudReUksWAdh9JEma8ioZHu0AFh7z9oKRxyRJmjaOHByitbOBEELSpUyIlvZ6+gyPpp2wbT+HZmbIZ4KdR+3l8GhTfZrD6UEAcmueT7IkSZIqrpLh0ePA0hDC4hBCFrgZuLuC15MkqeaMhkdTRWtnw9FRPE0P+YO7KB2AjWc305Ru4tz2c5MuKVFzmufQWNfIumyGvoPrSHV2MrTW8EiSNLVVLDyKMRaBW4F7geeAL8QYnwkhvD+E8DqAEMJlIYTtwBuAT4QQnqlUPZIkJaHvYI6WKRQetXTU038oz/BwTLoUVcnGr32RWAr8ZFEdr5j1ClJ1qaRLSlQIgXM6lvJcpgH2PEX9+efZeSRJmvIquvMoxvj1GON5McZzYox/NvLYbTHGu0f+/HiMcUGMsTnG2BVjXFbJeiRJqqZCrsRQf2FK3GltVEtnA3E4MnDY0bXpou+7/wHA9+b2smrOqoSrqQ0XdJ3H+myWlp6naTj/AnLr1hGLxaTLkiSpYibFwmxJkiaj3v3lfSgzuhoTrmTitHSUg7C+HsOj6aJ+4wZyrXC4JfBTs38q6XJqwrnt59KfiqQLm2m44DxiLkduw8aky5IkqWIMjyRJqpDDe8vhUdusqRMeje5vcu/R9NA7kCOzZ4BtCxtoSDWwvGt50iXVhPM6zgNgS7aO9KwsAEPPuH1BkjR1GR5JklQhh/YNANDWPXXCo9H9TX0H7TyaDp79xj3EXB0/PifLJd2XkEllki6pJpzTfg4A6zIZjgxsoa6pyfBIkjSlGR5JklQhh/cN0tCSob5p6vyFu74xTbYhxZEeO4+mg8Fvl2+U+9DCAUfWjtHZ0ElbtpOns03kt/6A+osuNDySJE1phkeSJFXI4b0DtE+hkbVRLZ0N9Dm2NuXFGGl+/lkKrcPsa4Mr5l2RdEk15fzOpTydbaJp349pXLaMoTVrXJotSZqyDI8kSaqQw3sHaetuSrqMCdfS0eDOo2ngmW09tO45wsZF9bRmWlk+031Hx1o28yJ2ZoeZMbiZhvOWEIeGXJotSZqyDI8kSaqAYr5EX09uSi3LHjWjy/BoOvjxNx+AAnz3nDSvmvsq0nXppEuqKcu6ljEcIuuyGRq6SoBLsyVJU5fhkSRJFdC7vxyuTKVl2aNmzGwk118kN1BIuhRVUOqRrwPw3bPyjqydwEVdFwHwTH09sTCyNPvppxOuSpKkyjA8kiSpAg7tGbnT2qypN7Y2o7t8x7XRgExTz85Dgyzc8hyDHSUONwd+et5PJ11SzVnQsoCmVCvfz7Yz5NJsSdIUZ3gkSVIFHNzVB0Dn3OaEK5l4M2aWu6l69w8mXIkq5dtPbKFr/2GeWZJlSdsSFrQuSLqkmhNC4LyOC3g620DD7h/TuGx5eWl2Pp90aZIkTTjDI0mSKuDAzn5mzGwgU59KupQJNxoeHTY8mrLWfv1bhGG4bym8ZuFrki6nZl06+2J21xeoK/TQeO5cYi7H0PPPJ12WJEkTzvBIkqQKOLizn855LUmXURH1jWkamjOOrU1R23sGOPepbzOcjjy9EF5zluHRyVw08yLiyNLsxo7yqOrgj59ItihJkirA8EiSpAlWKg5zaPcAnfOm3sjaqBkzGxxbm6K++sROlu/ZyNazIu0tM7l45sVJl1SzRpdmr87OINX3NOnZsxl84olki5IkqQIMjyRJmmCH9g4wPByn5L6jUTO6G+ndZ3g0FT324OM0DuR58LwMP7fwKuqCPy6ezIKWBTSmWvhOtovixkdoXLnS8EiSNCX504AkSRPs4M5+ALrmT+HwaGYjRw4MMVwaTroUTaA1u3uZ+/RjAHz/XLhu0XUJV1TbQgic134hz9enyfZuofGCxRR27qSwd2/SpUmSNKEMjyRJmmD7t/dRVxdon92UdCkV0z6rkeHhSO8B9x5NJV/64XZes+fHHJg5TF3nDF4555VJl1TzfmrOCnrqBxgKgcbuEoDdR5KkKcfwSJKkCbZ3cy+d85tJZ6bendZGdcwpd1Ud2jOQcCWaKEOFEt/6zjMsOLCXhy5Icd2i60nVTd2v4YmyctYlEIb5YX0rDekthEyGwSd+knRZkiRNKMMjSZImUByO7N1yhNmLZiRdSkWNdlX17DY8mirueXIXyzf8mAB858I6bjj3dUmXNCmsnLUSgG9k5xJ2PEbDRRfZeSRJmnIMjyRJmkCH9w2SHywya4qHRw3NGRpbM3YeTSH//NgWfnHvj9nXGUnPbeOS7kuSLmlS6GjooCs7nx/WNxD2PUfjigsZeuophocc6ZQkTR2GR5IkTaA9m3sBmHX21A6PoNx91LO7P+kyNAGe2XmYzWu3smj3Zh66sI5fXfJLhBCSLmvSWNG9kp0NA0SgaUGGWCg4uiZJmlIMjyRJmkB7N/eSztbROXfqLsse1TG7yc6jKeLvH9nEVXueIQCPXxB43Yq3Jl3SpPIzC1YxnM7xfH0bTfVboK6OgR/8IOmyJq+hXhg4WP49xqSrkSQB6aQLkCRpKtmx7hCzF82gLjX1/32mfXYzg0d2MdRfoKE5k3Q5Ok3bDg5w90928slDT7OrE86dN4uZTTOTLmtS+ak5rwDgq42LeNfOR2i4aJnh0XiUCrD2XnjqC7DjR3B42wvva50LC1bBsl+FC38JUv6/RpKSYHgkSdIEGezLc2B7H6963eKkS6mKjjkvLM2ee05bwtXodH3iPzYwr/8g3Zue57M/V8cbl/5a0iVNOovbFlMfWvl2qoF3HdpB0/LX0fOlrzM8NERdQ0PS5dWu4RL8+J/gwf8DfbuhZTYs+hlY9f+DbDMUh2DPM7D5UXjuq9AyB676Q7j0zVA39QN6SaolhkeSJE2QHc8fAmDBBZ3JFlIlnfObATiwo8/waJLa2zvEF1Zv5335NQwDO88rsWrFf066rEmnLtRxQfsreDL/o/LeozklDo7sPWq+/FVJl1ebdj8N//522PMULHwV/NL/B+deA6kT/PVkuATr74fv/H/wtd+DJ/4VXv830H1etauWpGnLyF6SpAmy/fkeMvUpus9uTbqUqmjtbCDbmObAjr6kS9Fp+viD6xkulbjo6W/z5OLA62cvIjRMj6/fifbzi36amOnjqZazaUqvc+/RycQIP/g7+Lufh/698IZPwf/vXjj/hhMHRwB1KTjvOnjL1+FXPgEHN5afv+aeqpYuSdOZ4ZEkSRMgxsi2Zw8w77x2UtNg3xFACIGu+c0c2G54NBlt2NfHvzy2lXd2HSG7r4cnL4pcv+w/JV3WpPWas38agC83LiS1+/s0XHgB/Y89lnBVNaZUgK++E77+B7Dk5+B3vgvLfgXGeme/EOCSm+Ft/wEzl8Ln3giP/lVla5YkAYZHkiRNiP3b++jdP8SSS7qTLqWqZs5vYf+OPqJ3RJp0PvyNNTRmUly+7hsM1MOq2f1kLrwx6bImrUUzFlFPOw+HAMVBmi+az+ATT1A6ciTp0mpDvh/+9TfgR5+Gn/0DuOXz0Hyai9nbFsBbvlFeov2t2+DBD3lXNkmqMMMjSZImwIYf7SXUBRavnF53qepa0EJhqMSRA0NJl6Jx+N6GA9z37B7esbKdxu+s5vFlgdfNvxwa3F11ukIInDtjJXvq91PMtNAyswdKJfq/972kS0tevh/+5Q2w8SF43cfgF/7kRQuvi6VhNu7r40dbe/jhlh4O9udPfc5MA/za38PK34SHP1wOkCRJFePCbEmSzlCMkQ0/2sf889ppbMkmXU5Vdc1vAcqdVzNmNiZcjcZiqFDij//9KRZ2NnL+k/9MqhQ5+5wjZJb/atKlTXq/cPareab3IR6etYqfP/g96lo66H/kEWZce23SpSUn11fuONr6PfjVv4OLfx0o/3/z22v28sXV23l0/X6O5IpAEUgBgXltDbz+FfP5jVULWTyz+cTnrkuVw6gA/MdflDuZXvW2Kr0wSZpeDI8kSTpDuzYc5tCeAV5xzVlJl1J1XfNbCAH2bTvCkpXTa2Rvsrr9wfVs3N/P373pAurf8m3Wn5PhxmyuvLBYZ+RXLvh5/vrJD3BXqo1fGNxH88rL6XvkO8QYCWPd6zOV5AdGgqPvl7uElv8aAI+u388HvvYszx/YQvusJ2g/dxMZtlEYHiIVMsxIzyadX8rf/2AZd/7HQn7r8rP5vavPo60pc/w16urgtX8FAz3wjf8FLbNh2S9X93VK0jRgeCRJ0hl66sHt1DelWXrZ7KRLqbpMfYrOec3s3exel8ng2Z293PHQBn71FfPpefivWNA3TNPP5Ki74EZH1ibAzKYuWsJiHivth1SW5vnDHPnObnLr1tFw3jS7rfxwCb70X2DLd+HX/wGW/xpHhgr82T3P8fkfP0nnwvtpOfdHDIfAsvT5/Mzulcze3k/s6+fIUC/PNT7MupkPsOO8C/jnH13PPU/t4vY3XsorF3cef61UunyNT78Ovvw70LkE5q6o/muWpCnM8EiSpDNw5OAQG3+8jxU/v4BMfSrpchIxa9EMNj2xf/p2V0wSg/kS7/jcj+lozvKbP9vAnlvu53B3Pa9q2wmv+K2ky5syVnRezqMHPsuuhT/NzO1PAtD/yCPTKzyKEb7+Lnj+6/CL/w+W/xqb9vfz1s88zrb8Q7Qt/RqhLvIH8Tp++uF9FB8t35UuNDSQamuD4WEu2lfeezRY/xyPXriGb678eW75uyHec+My3nLl4uOvmWmEm/4Z7rwKPvcm+O0HT38htyTpOC7MliTpDDz2lY2EusDFr1mQdCmJmb1oBkP9BXr3uzS7lr3/a8+yYV8f/+8NF/Plf/mfLNoTWfDKGYT2hbDkNUmXN2X88vk/TwiRzzcsIFPcRv3ihfQ99HDSZVXXd/4SVv8DXPlOeOV/5fsbD/C62x9gX8M/UD/3S7y68UI++51X8MoPfY24Zj0z//utLP63L3H+D1ez9OGHWPrIf3D+j37Iwr/7Ozqv+0Ve8zT8+Wfu553b/oI//8pjfPS+5098h8fW2XDzv0D/XvjCf4b/f3v3HS9FdT5+/HNmtu/tnXvh0qvSQUQBO9g19m7sGE2MRn+JydcYY2IUS9TYsWCLvYDYWwCxUaT3fnuv23fn/P7YpXMRFVjgPu/Xa17Tzs48s7uzO/vsOWdikb1/7EIIcYCS5JEQQgjxM1WuaWL5d5UMPKYTadntt7PovC5pAFSva05yJKIt7/xQyivfb2D8Ed1ZGZzC0A/XEM1Np8i7AAZduNWdr8QvM7bHMFQ0g6mhRjAdpPRw458zh2h9fbJD2zvmvwaf3wH9z4Zj/sa0FTX8+vkvsBU9hfIu4HbrZK67dzmxb2eTd/Mf6PHF5+Redx2ufv1Q5ubam4bHQ8roUXSZcB+9Pv2M5mOHctysGp746i4+eed9/vXhsh0nkIqGwCkPw/qv4NPb9+KBCyHEgU2uFIQQQoifIdAa5uOnF5GS5WTo8Z2THU5SZRV6sdkNKtc2JTsUsQPzShr541sLObRbFicOjTHt3UfoVQ4dj+mFMoDBFyY7xAOKaZh0dB5ClV5Ca6+xpHkWg2XR8vnnyQ5tz1vzP5h8HXQZDac9yqfLarjq5U9xd34cw1HBU1UncNCEyTiKi+k2ZTLZV16J4XT+6GYdHTpw+MMv0XjvjdiiUe6dNpG1L73I49NW7/gBA8+FQ66Gbx+FZR/s3mMUQoh2SpJHQgghxE/kawox5aF5BJojnHBNfxzu9t2FoGka5HdNo2KVJI/2NeWNAa5+YTb5aU7uObsnt0y7iQuma4y8HNLtM6DX8ZDR/u4SuKcd3elYUFEmZ/bG6arBXpBNyyefJjusPatyEbx2MeT0hHNf4vOVjVz73+mkdHkWl9PPpBVjSHt2Mmknnkjnl1/C0fmnJ91HnnI1TLqfZcUGN819h9r7J/D6rA07LnzcnVAwIN6BdmPJLzw4IYQQkjwSQgghdlFrQ4h5n23g1b9/T2OVn+OvOZi8zmnJDmufUNgrk9qSFkJ+6WNkX9HgC3PJs98TCMd48uIh3Df3DrrMraBLaYT804ZiROrh8N8lO8wD0tn9R2FFU3mzqQTlzSG1mw3ft98Saz5Am3Y2lcLLZ4EjBS58gznVmute+ZaMbi+gzHqenD8U25sfkXXpJRTedy+Gy/WzdzW63wlkPfZvPh1scPbKGZTc/jdmr6ndvqDdBWdP2nzXN+n/SAghfpH2/VepEEKIdi8UiLJuQS3rFtZSX+6jpS5ILGqhNRiGwjAVhk2hLQgHogAU9cpg9Lm9yC5KSXL0+46inhnM0lCxqokuA+QOR8nmC0W5/PlZbKj388Llh/Bl1cvMWP8lk75Ow9kzh3Tzf1A0FIpHJjvUA1LnrFRSIkNY7ZtJ08Gnk1b2X+ojGbR++SXpp52W7PB2r0AjvHQWhH1w+UesCmVw+fMz8HT8LxFzAxNXH4F9yqdkX3UluTfdtFvuyHhMt7FU3nYrkyfcxWnffsP062+m6KVH6ZDl3bpgdnc45cF48ujLu+BY6QNJCCF+LkkeCSGEaJdCgSjzPtvA/M9LiARjeNId5HVOo2OfTGwOEwVYlsaKxQeA9Fw3nfpmkVXo3fnG26H8bmmYNoOylY2SPEqylmCEy56bxYLSJh67cAhV1lc8Mf8J/rThYJyV88m78leoVf+A426H3fBDXuzYEUUn8mH9NCZnFnFxhh9bZhHNH350YCWPIkF49UKoWwUXvUmVuzuXPDYTct4g4lzCg3VjSX3tAzLOPXe3JY42uqDvhfzj6jW8Zn+Nc2d8xxeXXc8Zrz+F22nfumD/s2DtdPjqAehyOPQ4drfFIIQQ7Ykkj4QQQrQ7pcsb+HzSElobQnQfnMug44rJ75KGMuSH9M9ls5vkd02jbHlDskNp15qDES599nsWljbxyPmDychaz/jP/sbRnkEMfW8pnlGj8Da/A5ldoc8pyQ73gHZO/0OZ+nEBr5R+wyVdR5NevIa6GTOI1tZiyzkAEqyWBe+Oj9/V7IynaS48nEuf+IZm12SUdxa3B4+jcOKHpBx9NAW3/d9uTRwBKKX406G3cnXzWt4w5nL2tG/5YPwfOePZ+7ff1/F3Q8n38M54uPZrSMnbrbEIIUR7IH0eCSGEaDe01sz5aB2TH/wBm8PkzD8O5fhr+lPQLV0SR7tB8UFZ1GxowdcUSnYo7VK9L8zFT3/HorJ4jaPCgmp++8Vv6ZLWhRu/yoBolIJzhqKqF8PR/wem/Ie4Jw0pzsQROIRS/zJWD/gV6YVVEIvRNHVqskPbPT75P1j8Dhx3J6F+Z3D1C7NZF/kQlfklVzuO5eDHvsA9cCBF99+Hsu2Z95rdsDNhzAQ+PyqdT0ek0e+bD5l5+4TtCzo8cNazEGqBd66JJ76EEEL8JJI8EkII0S5YluZ//13Ot++uoefQPM7583AKuqYnO6wDSueD47Up1i+qS3Ik7c+GOj9nPf41yypbeOKioRR3aOTaz64lx53DI57LCXz8GdlXXYFjyWOQ3x8OOiPZIR/wDENxZNHxoE3+GyzH2bkIV4GDpncnJzu0X+7rR+DbR2HEtViHXs9Nr81ndu0X2POmclLWGI6fuAAzM5OOjz6C4Xbv0VByPbncPeYenjnKz8yD8sl+fRKrJ07avmB+Pxh3F6z+Ar55ZI/GJIQQByJJHgkhhDjgaa2Z9spylswoZ8i4zhx3+UHYnWaywzrgZBd5Scl0SvJoL1tY2sQZj8+k3h/m5StH0KVDK9d8eg1eu5eJh/4b/5334ejRneyBChrXxzsNNuQScG846aBeRJoGMnn1FFqGXkp6UTWhZcsILluW7NB+vnn/hU/+Av1OR4/7J39/fykfrZmOt+hNhucMZfzbPmK1tXT8z8PYsrP3SkgjC0dy9aDx/OfkWmYVdyR4/wTqpuyghtewy6HvKfD5HVA2Z6/EJoQQBwq5chBCCHHA+27Kmk2Jo5G/6i5N1PYQpRTFB2dTsqSeaCSW7HDahY8WVXLuU9/gtJm8Of4wUtNquPzjyzGUwcTjJsIDTxOtr6fwr7dgfHUPdDtSOgzei0b1yMFsGU3ICvJOehppvVwoU9H41tvJDu3nWfQWTL4Ouh0Fv3qSJ6av44W5X5HW+WV6ZHbjjsW9CXzzHQW3/xV3//57NbTxA8YzpMNwHju/gcU5Ham89VZ8X3+9dSGl4JSHIaUA3rwCgs17NUYhhNifSfJICCHEAW3+5yXM+XA9/Q7vwKGnd0t2OAe87oNziYRibFhcn+xQDmiWpfn3pysY/9IceuWn8s5vDiOg1nLZx5dhN+w8N+45MqcvonnqVHKuHY977dMQC8NJD8gd1vYit8Pk+F7DIdCVF5a/jnXM70jt6KPprTeJtfqSHd5Ps/xDePtq6DQCznuZ1+fVMOHzr8jo+jx5niwe5Fxan32BjHPPJePMM/d6eKZh8q/R/8LmdjHxUjvrvTmsu+56gkuWbF3QkwVnPh2vhff+H0DrvR6rEELsjyR5JIQQ4oC1/LtKvnpjJd0G5XLEBb13+91+xPY69s7ElWJn5eyqZIdywGoNRRn/0hwe+nwlZw3tyKtXH0pJYDFXfXoV6Y50nj/heTpUR6j4619xDx1KzhHFsHQKjLkFsrsnO/x254whRfhrjqbKX8m7mblkDXRi+QM0vftOskPbdcs/gtcvgYIBcMHrfLi8mVsnzySr+yS8ThuPd/8zvr/dg3vgQPL/8uekhVngLeCOw+6g0rGBh8/pTb3hYt2VVxMuKdm6YOeRcMSfYOHrMP+V5AQrhBD7GUkeCSGEOCCtW1jLF88vpah3Bsdd0Q/DlK+8vcEwDXoMyWPd/FrCwWiywzngrKxq4YzHZvL5smpuP6Uf9541gO8qv2L8p+PJ8+Qx6fhJFJBO6W9/h+H1UvT3/4f64AbIPxgO+12yw2+XDu2WTa7tYFJ0DyYufR7zjBtxZYdpePZJ9P5w169Fb8FrF0L+QXDRW8woCXHD61+T0X0Shq2Vxw69F33r3RhuN0UPP4ThcCQ13GOKj+Hc3udSljuTvx07Fr8/yIYrriRat01fbGNuhs6Hw/s3Q+2q5AQrhBD7EbmSFkIIccCpWNXIx08tIrtjCieOH4DNLp1j7029RhQQjVismlOd7FAOGFpr3phdwqmPzKSuNcwLlx/CZYd35Y0Vb/C7L39H94zuPDfuOfI8eVT85f8Il5RQdN8E7NP/BJEgnPUc2JL7o769Mg3F6YM6Ult6JJW+Sl722MkalkG4vBbfF58mO7ydm/tCvG+gjofAJVOYW6u45qWZpHSZhLZV8/BRD5F5/8vx99u/H8Cen5/siAG4edjN9Mjoga//5/z50PMIVlZRcvU1WL4tmgoaJpwxMX5evHkZREPJC1gIIfYDkjwSQghxQKkra+X9xxbgzXRy8vUDcbhtyQ6p3SnolkZWoZfF08uSHcoBwReK8ofX53PLmwsY1CmDD28YzcjuWTw450Hu/PZORheN5tlxz5Ltzqb2kUdp+fhj8m78Pd6WD2H9TDj5AcjtlezDaNfOHFJEpLUHXdzDeGLhRELj78TmjlH7wJ3ofbHPHa3hf/fAlN9C96PhordYWKv59aSvcXZ8gZi9hPuOuI9eHy2j5dNPybvpJryHHJLsqDdx2VxMGDOBKAFaR87ln8MuILB0GaW/uwEdDm8umF4Epz0KlQvg478kL2AhhNgPSPJICCHEAaO5NsCUh+dhsxucesMgPGlS0yIZlFIcNLqI6vUtVK+Xuxn9Eksrmjnlka94d14ZNx7bi5euHEGm1+TPX/2ZZxY9w9m9zubBox7EY/fQ+Oab1D76KOm/+hVZAxXMfCh+a/KB5yX7MNq9nvmpjOyWTc26cYStMPfV/I/scQcTWFOHf8qkZIe3tUgA3roS/ncXDDwfzn+FHypDXPDMNIyCZ4k5VvGPw+9kRGUK1Q88QOrYsWRdflmyo95Oz8ye3DLsFppYyIqBLbw46gJ8M2dS/pf/27q5YJ+TYOT1MGsizPtv8gIWQoh9nCSPhBBCHBB8jSEmPzSPWMTilBsGkZbtTnZI7VrvQwuwu0x++GRDskPZL8UszRPTVnPaIzNpDUZ5+cpDueHYnjSE6rjikyt4f8373DDkBm479DZsho3WadOouP1veEeNosOFI1Ef3Aw9x8IJ9yb7UETCFaO6Ulmfypi88/lw7YfMufgCbF6oeWACurUm2eHFNZXCpJNh0ZtwzO1w+uPMKvVx8XPTsBVNRDtX8Y9R/+D4lBGU3fQHHMXFdLjrn/vszQjO6X0OR3c6mljmVF4vzGH2sefS/N57VN9739YFj70DuoyG934P5T8kJVYhhNjXSfJICCHEfs/fHGbygz8QaA5z8vUDyS5MSXZI7Z7TbaP/ER1ZNbeaxip/ssPZr6yr9XHOk99w94fLOLpPHh/cMJqR3bNZVLuIc6eey9K6pdw75l6u7H8lSin8c+ZQeuNNuHr3pug341BvXwYdBsb7OTKl2ea+4ug+eXTN8bJm5Qj6ZffjzoUPY7/0HAJV4Lv/QrBiyQ1w6Xvw+OFQvRTOeRFG38SnS6u5ZNJn2Ds+CY5S7j/yfk4pPoGyG2/E8vno+PBDmCn77uetUoo7DruDbHcWBT3e4raU/jSOO536556j5pFHNxc0bXD2JPDmwmsXg682aTELIcS+SpJHQggh9mtBX4QpD8+jpS7IydcPoKBberJDEgkDj+mEaTP4furaZIeyX4hZmue/XscJD81gZVULD547iMcvGkJOipMpq6dw6YeXYjfsvHTiSxzf9XgA/HPmsOGqq7Hn59Pp9ydhTr0mnji6+F1w7rs/6tsjw1BcfngXFpa2cl6XPxK2wvyleCm2nDSqP1iDnnxDvK+hvS3UClNvgtcugswuMH4G9DuVZ79ay/jXJ+Ps/Ag2Zy2PHPMIx3Y+lqoJ9xKYO5cO/7gTZ8+eez/enyjDlcHdo++mJVZBYY9PuCZ9DLYTT6H2kUeoffzxzQW9OXDui9BaDW9eDjG5W6QQQmxJkkdCCCH2W4HWMFMemkdjpZ8Trx1AYc/MZIcktuBJczDomE6snFVF1Vrp+2hnlpQ3c+bjX3P7lMUc0jWLT248gtMHFxGIBrht5m385au/MDhvMK+c9Aq9s3oDWyeOiq8Zgu2LG6HTCLj4HXBnJPeAxA6dNbQTealOXpwe4K7D72JB01I+PLM7oSY7Da+/DR/duvcSSFrD0qnw6AiY/Qwc9lu44lPC6V356+RF3DX9ZVK6PklOipMXT3yRw4sOp+HV12h48UWyLr2U9JNO2jtx7gbDC4Zz1YCraLF/jU5ZwB86n0zKKadQ89DD1D7x5OaCRUPiHcyvnQYf/zk5yTwhhNhHSfJICCHEfqmlPsjb986lvsLH8dccTKd+WckOSezAkOM74061M/21FViW/BDblj8c5a4PlnLKI19R2uDnofMGMemy4RSku1hat5Rzp57L5FWTuXrA1Txx3BNkuuIJ0tYZM+KJo9wcin/lwT7vPzDownjiyJWW5KMSbXE7TP4wthdzNzQSbO7LLcNuYWLmAsr75VGzNJvotCfh3WshEtyzgVQvhVfOg9cuBFc6XP4JjP0HpS1RznzyC15ffw/uotcYlHcwr578Cn2y+uD79lsq77wT7xFjyPt/t+zZ+PaAawdey8DcgbgK32Zh7XoeHX4BaaecQs2DD1L9wL833/Vu8EVw6HXw/ZPwzaM736gQQrQj0hBeCCHEfqeh0seUh+YRDkQ59XeDKOyZkeyQRBscLhujzunJp88sYf7nJQw+rjjZIe0TLEszeX4ZEz5aTkVTkPMP6cSfju9LusdOzIrx0pKXeGjuQ2S6Mnlm3DMMLxi+6bGN77xLxW234SwuoPjQtdiqGmDcv+DQa2Ef7bhYbHbW0E48+9U67vloGZ/eeBGhWIgJ9Q9x/3KL0nXD6ex8BVW7Es6cCFnddu/Oa5bDtHtg0dvg8MLYf8CI8WDa+WhRBbd8+AJkvYfT1sK1g67jyv5XYjNshNaupfSG3+Ps1pWi++9HmebujWsvsBk27hlzD2dNOYuufd/l1bnpDDzzWo70eKh76iliDQ0U/O32+LGN/Qc0lcAnf4H0IjjoV8kOXwghkk6SR0IIIfYrJcvq+fipRRg2g9P/MITcTqnJDkn8iJ7D8lk5q5pvJ6+msEcG+V3bd82YOevr+fvUpcwvaaR/UTr/OX8ww7rEa84tr1/O377+G4vqFnF0p6O547A7yHBlAKC1pu7Jp6h58EG8PbMpGjALM7s3nPkWFPRP4hGJn8I0FLee2IdfPzeLR79cxY3HXUWGK4PXVt7BBV+WsOSQSzmo5m14bCSMuQUO/Q04PD9/h7EILP8Q5kyC1V+A3QOjfg8jfwvebGpbQ9w0+TVmNf0XW94auqf14s5Rj9M/N/6eilRWUnLFlSjDoOPjj+/THWT/mKKUIm4feTu3TL+FHr2/4fb37Lx29e8oysyg7okniTU2UDhhAobbDWc8BS9UwdvXgDcPuhye7PCFECKplN7P2vIOGzZMz549O9lhCCGE2Mu01iz4spSZb64is8DDidcOID3XneywxC4KtkZ44+5ZxKKas28dhjfdmeyQ9rrllS08+NkKPlxUSX6ak/83rg+/GlyEYSiaw808veBpXlzyImnONG4dcSvjOo/bdAt0y++n/M9/oeWjj0jrHqNwaA3qsPFwzF/BLufB/uim1+YxeX45b4wfyZDiTOaUz6L88ispLA/zxW1HcZnVQM7SD8CdBcOvgP5nQ06vXatdFmqBNf+DlZ/A8o/AVw1pRTD4YjjkKvDmEI5GmDD9HV5b8Sq4V+Iy0rhhyHWc3/dcTCNesyja0MD6iy4mWllJ8fPP4z74oD37pOwlf535V95d9S6ehvFEW3vyzm8Oxzv1Tar+dTfOvn3o9Oij2Dt0AH89PDsOmsvhoreheESyQxdCiD1KKTVHaz1sh+skeSSEEGJfF4tYTHt1OUtnVtB1YA7HXtYPh0sqz+5vaktbeOueOWQVejn1hkE4PfZkh7RXrKpu4aHPVzF1QTleh40rRnXlmiO64XHYiMQivL7idZ6Y/wRNoSZO73E6Nw29aVNtI4DwunWUXnM5oQ0V5A1oImtsf9RJ90lto/1cczDCCQ/OwGYqpv52FKkuO3VrllJ69nlUuSP843IvR3cczrk1FfRZ+SUKHW/GVjQU8vrGbyvvTAMrCpFAPMHRuB4qFkDN0vhyZxp0PwoGXgA9jiWiNHOr5vLywg+YXvYFMaMR00rnwr4Xc93Qi/HYN9dwirW2suHXlxFauZLipyfiGT58J0ezf/FH/Fz4wYWUt1YSWP8b8lzFvDX+MMxZX1P2h5tRTicd//MwniFDoLkCJp0UvwvbJZOh49Bkhy+EEHuMJI+EEELst5pq/Hw8cTE1G1oYdmIXDjm5K8qQfl32V+sW1PLhkwvJ6ZhywCeQVlW38MgXq5g8vxy33eSyw7tw5ahuZHodBKIB3l75Ns8vfp4KXwUjCkbwh2F/oG92302P15ZF08R7qHr0RRQxCsc6SLnktngNFOnb6IDw/dp6zp/4LYd0yeK5y4bjspv4vv2WDVdcQdlB+fz55GYCOkSRp4BRzlwGN9fTt66UTg0l7PDMScmH/IOhcDChrqMoyyhig6+cRbWLWFi7kB+q5hOI+dCWDXu4N+f0OYObDj8dp82x1WZijY1suPoagkuW0PGR/5B65JF74+nYq8pbyzn//fMxcVGy+AqGduzEC5ePQK9fS8lvfkOkrJzc3/6W7CuvQLVWwqQTwd8Q75ReEkhCiAOUJI+EEELsl1bOruLLl5ZhGIqjL+lLt0G5yQ5J7AZrF9Ty0ZMLSctxc9JvBpCR/wv6c9nHaK35ZnUdE2es4cvlNbjtJpcc1pmrR3cjO8XJuqZ1vLvqXd5e+TYNoQaG5A3hqgFXcXjh4ZuaqBGLEv3+FSrvuo+WlWHcBZqiP16N/bjrYZsf+WL/984Ppdz42nzGHZTPIxcMwW4aNLzyCpV3/B33ySfw/eWHMKNiJt9VfkcgGtj0uExHGjmOdLw2D6Zpw7S5CcbCNIebaQm3UBes21RWYWC3CmltKsQT68eVQ4/nisP74LJv3/F1pLqakiuvIrxuHUUP/pvUo4/eK89DMiyoWcDlH19OvrM7i+eez7h+HXnkgiEYvlYqbr+dlg8/wjNiBIUT7sHuDMdrIPlq4JwXoOdxyQ5fCCF2O0keCSGE2K9EwzG+emMli2eUU9AtjbFXHkxqlivZYYndqGxFAx89tQhtaY44vzc9huVtTp7sh8JRiw8WVjBxxhoWlzeT7XVwycguXHRoMUFq+V/J//hk3SfMrZ6LoQzGdBzDZQddxpD8IZs3EmhEz3uFphcfpXpmmFjEJPecI8n+030olzdpxyb2vOdmruWO95ZwSJcsHrlwMHmpLmoff5yahx4m/bRT6fDPfxJVmjVNa1hWv4zy1nJqAjXUBGoIRoPEdIyYFcNlc5HqSCXFnoLXzGFDlYvvVkB1XRZF6Rlcc0Q3zhnWaYdJI4DgkiWUXPsbYi0tdHr0EbwjR+7lZ2Lv+3jdx9w87Wa6eQ5h/pzTOLF/EQ+dNxiboWh6+20q//FPlM1G3i03kzFuNOqVc6BqMZz6Hxh8YbLDF0KI3UqSR0IIIfYblWub+OL5pTRU+hkyrjOHnNoV0zSSHZbYA5prA3z89GKq1zXTfXAuY87vjSdtz9asCbSGqVzTTF1ZK+FAFDSkZrvI6ZhCfrd0jJ/YJHJDnZ9XZm3gjdkl1LaG6Z7n5ZwRKXTIq2Jx/QK+r/yeVY2rAOiW3o1Tu5/KKd1PIc+Tt3kjFQtg1tMEp71F1fdO/DVO3L2KKbj7AVz9DowOisWPmzyvjD++tYA0l50/n9iXUwcWUv/Uk9Q8+BDeww6j6N8PYKan73QbNS0hPllSyeR55cxaV4/WMLpnDheO6MyxffOwtfFZqrWm6d3JVP7975gZGXR6/DFcffrsicPcJ7267FX++d0/6ekdxdzZJ3LSgCIeOncQNtMgvG4dFX+9Hf/33+MeNpQOf74F5+zbYc2X8bvhHXkrGDtOxgkhxP5GkkdCCCH2ebGIxffvr+WHj9fjzXBy9CV96dQ3K9lhiT3MilnM+6yE795bg2kzGHp8ZwYe0wlbGzUjfg6tNWUrGlk8o4w1P9RgxeLXPqbdAA2xqAWAO9VOz2H5DDquuM2absFokKrWWj5Zvor3Fq9kSVU5pq2Vojwf3pQ66kIltERa4tuzuRmQO4DRRaM5stORdE7rvHlDoRZYMhnmPE9oyRxqF2fSvN6Bkeol75b/R8ZZZ6EMSZq2N0srmrn5jfksLm+mT0EqZw/rxNFrvyU44S7shYUUTZiAe+BAIPG+bgywtKKFOesbmL6ihiUVzQB0z/Vy6sAiThtUSJecnddaizY0UHXnP2j+4AM8w4dT9MD92HLbXxPhSYsmcf+c+xMJpOM5qncH/nPBEFKctnhy7e13qJowAau1lYwzzyC3VwW2Va9Dt6PgzGfAm53sQxBCiF9MkkdCCCH2aWUrGpj+6grqy330PbwDh5/VE6db7qbWnjRU+vj67dWsW1BLSqaTQccW029UIXbnz08iBVsjLPu2gsUzymms8uP02Oh9aAE9huSR3TEFhyv+o7C2ppFVK8pZN7eO+mURAKw+9dT3X06trqI+WE99oJ7aQB3BWGCH+8pyZdE9ozvd0rvRPaM7A3IH0DuzNzZji/exFYO102H+K+gl7xGoiNKwPp/m1RbK5SLrkkvIvvyyH61dIg5slqV5b0E5T0xbw9JEMugQXwk3fvMiab4GvhsylikDTmBNAJqDUQBshmJo50zG9MrlqN559O2Q+qPNQHU0SuPbb1Nz/wPEWlvJvf46sq++GmW231o0zy16jgfmPEA371AW/XA6vfOyefbXwylIjyeTow0N1D76GA2vvorhcJA5dhBZ5lRs2dlw5tPQ+bAkH4EQQvwykjwSQgixT2ptCPL1W6tYObualCwnR5zfmy79c5Idlkii0mX1fD91LRWrmnB6bRw8pog+IzuQkbdrnWprS1OxupHFX5Wzek4NsahFQbc0ehyWQ6RLPev9a9nQsoGSlhLWN6+nrLUMX8S36fEpoUwGlR1Dv6rDidgDrOj1DWuy11PbbMfnd2PqVPrlFzKme1fGdOtCrjeHTGfmVrc43zogDWVzYcm7sOgtolUVNFdm0lSaS7CsGSM1lYyzzyb7isvjP0CF2MKamlamrahhRVUrNZW1HPHFqwxbNJ2AO4VlY05BnXQavXp3ok9BGl7nriXcLZ+Ppvffp+7pZ4hs2IBn2DDy/3obrl699vDR7B/eWvEWf//273Ty9GTdkrNJseXw+EVDGFycualMaO1aah58iJZPPkE5HWT2ipDVpQL7kVfCMX8FZ0oSj0AIIX4+SR4JIYTYp/iaQvzwyQYWTy9DA0PGFjN4XGfsjvb7j7fYWuWaJuZ+vJ61C2pBQ0G3NDr3z6Fj70yyOnhxbFEzLRSIUr22mdLl9aycVU1LfRDDAfRqYkPH+SzUs9nQvAFN/JrHZtjomNKR4rRiOqZ0JNeTS647l1xPLtnOHGoaHXw7uwn/N3VkB2GDLUZ93xROGNmJsQcVkPJjP9K1htLZsORd9OLJhNZX4Kv20NqQj3+DHyyNs3dvMs8/j/RTTsHwbm5W5GsKUbq0npoNrTRU+Qj6osQiMRwuG+40B9mFXvK6pFHUO1POl3YquGQJ1Q8+iG/6DLDbSTliDClHHIF3+HDsnTptV3NIa020ogL/nDn4vvqK5k8/Q/v9uPr1I+c315JyzDH7dWf1e8KXG77kTzP+hN1wEa24iNraIm4Z15urRnfbql+00KpV1E18mqapU1FoUju2kjkoFffl96F6jQN5XoUQ+xlJHgkhhNgn1Ff4WDStjCUzy7Fimt6H5DP85K6k5biTHZrYR7U2BFnxfRUrZ1dRW9K6abnTY8O0G0RCMSLBGABaaRpzS5mfPp1VmfOImmGKUorom9WX3lm96ZvVl+4Z3eng7YC5RQe3zcEI366uY/rKGj5bUk1lcxDTUIzokslRDi96fgNWRDPsxC4MHluMadtBX0TBZmILPyQy633Ci74jWOEj2Ogk2OgmFojH5+jenbRxY0k74QScPXtufqgvwvLvKln2TcWmY7Q5DDLyPXjSHJg2g3Awiq8xTFO1H63BtBkU9c6k96H5dBuUu1v7iBL7h9CqVTS8/jotn3xKtLISAOV0Yu/QASM1FZTC8vmIVFSg/X4AjPR0Uo89howzzsA9ZIgkjXZideNqfvfF7yhrLaOQk1iyZASDi7P51xn96VOQtlXZcGkp9c9Noumdt7D8QZzpETJGdCDt2ruw9R2dpCMQQoifTpJHQgghkiYUiLJ2fg1LviqnYlUThqnoNaKAocd33uWmSEIA+JvDVK5porKsnvUV5VS31FAdqqREr6XGU0pdaim9CrozvGA4w/KH0T+3P2mOtO23E44yv6SJr1fX8tWqWuaXNGJpcNtNjuiVy9iD8jm6Tx7pTpNYczMtJbV8/VEl69ZESPdGGVZUSWaojFjZaqKVG4jVVhNpCBALbZFUMg2c3bvj6t8f7yGH4Dn0UOz5+ZtWa62pXNPM4hllrJpTTSxikdc5lW6Dcynul01OxxTUDu78FgnHqFzdxPqFdayZV0NLfRCnx0avQwo4aEwh2YXSXKa90VoTXrWKwIIFhFauIlpdRay5BZTCcLuxFeTj7NoVV/8BuPr1lY7Yf4KWcAt3f383U1ZPoYOrO9XrTqK1qYgrRnflN0f2IN1t36q85fPR9N57ND73OMH11aA0KT0zSDvzAlLPumKrWoZCCLEvkuSREELsB6yYRSyqiUUtrJjGilkYpoHNYWCzGxj70e3qfU0h1i+sY/UPNZQuq8eKadJz3fQbXUifQzvs8duxiwNLU6iJuVVzmVU1i9mVs1nesBxLW9gNO/1z+jOsYBjD8ocxMHfgdn0PhaMWa2pbWVDSxA8ljcwraaS0tJpMXyP5oSYGucL0d4TobPnICDRjNTUQa2wk1tiE1dwcb4KWUJt9MMt7nkfImU5R5Vf0qHwfr1mPmerB3rEYR5/B2A8+DEeXrji6dcNwOrc7lkBrmBXfVbFkZjn15T7sLjOe+BlVSG5x6k96XrSlKV3RwNKZFaz+oRorqinqlcHBR3Sk66AczP3oM0OIfdln6z/jru/uoiZQQ6FtFCuWjSTFzOeKUV257PCu2yWRAILzvqfp6btp/noxUb+Bsim8A3qRctKZpBx9LPYOHZJwJEIIsXOSPBJCiCSJhmMEWiMEWyP4mkIEWsL4m7cYmsKbloX80Z1uy7QbeNIceNMdeNKcpOW4yOzgJTPfQ2YHLy7v9heve0skHKN8ZSMlS+spXVpPXVm8A+K0HBfdBufRfXAu+V3SdliTQohtVfoqmVs1l7nVc5lTNYdVjasAcBgOBuYNZFh+PFk0IHcALpuLaMyiqiVEWUOA8sYAa2paWbuhhubVa1BlJRS01FLUWkMnfx2d/HV4Ai3b7dPMycGWm4stMwMzPR3TEcNUrZixWsxQGWaoFNMZw3I4mGO/lsWNI0Epeg3NpO+YrnTontHm+zvoi1C6rIFVc6pZu6AGK6rJ65zKQaOL6DEsD4frl99ZMNAaZunMChZNL6OlLognzUG/0YUcNKqQlEzXL96+EO2dL+Lj6YVP88LiF4jqGNl6BOvWDsGju3DaoELOG17MwUVp2zUF1IEmAq9PoHnKO7SuixDxxc93Z9eOpBw9Fs+IEbgHD8ZM/WnJYyGE2BMkeSSEEDuhtcbXGKK+3Ed9hY+GCh+tjWGCvgjB1jCxiIXW8XJax/u/VEqhDLXF9NbLIqEYwdYI0Yi1w33aXSaeVAeedAeeNAeeVAeuVAc2h4FpGpi2+LasmCYatohGYoSDMfzNIfxNYXyNIZprg8Sim7efluMir3MauZ1TyU+Md8eP0h2JhGNUrW2mcnUjpcsbqVjdiBXVGDZFh+4ZdOqbSfFBiaY30qeG2ImWcAvL6pexpG4Ji+sWM696PhW+cgBcppuuqQfR0X0Qufa+eOmKL6hoDkRoCkRorG0iWlqCs6qMDq21FLXWUuiLjzND2ySIcvNwd+2Cs3NnHJ2LsRcWYstKx+YMYtc1qIaVULMMapZD/RrQ8X6KcGdB0RAoHBIfFw2DlFyaawPM/Xg9K76vIhKK4fTYyO+aTlqOC5fXTjRi4W8O0VDhp7akBa3B5bXTa0Q+fQ8rJKfjnmleZlmaDYvrWDStjPWL61BK0XVgDv1GFdKxd+aO+2sSQuyyan81zy9+njdWvEEgGiBVdaah+mCCzX3ondWNsf3yOaZvPv2L0rfqXBsrhl4zjfCnz9A64ytaS0z8tQ7QCpTC2bMbnhEjcQ8ahKtvPxydi7fr/HxPi1pRIlYkPsS2GVsRojr+J5dCbT1WCoVCKYXDcOA0ndhNOw4zMW3YMZR89gixP0ha8kgpdTzwEGACT2ut795mvRN4ARgK1AHnaq3X7WybkjwSQvxcWmv8TeFNSaL68tb4uMJPOLC51o871U5Kpgt3ih2n147NYWxODAGW1kQiUaLhMNFIhGgkghWNorWFtkBbFoZNYzos7HYLu1Nj9xi4Umy4U+y4U+04PC5MuwOn04nbk4Y7NQ2n071VrDoUwvL744PPj+XzocMhdCwGlkUsHMHXqmlqtGho0tQ1GtQ1Knz+zRer6ekGWTkm2bl2sgtcZBd68Ga6UXZ7fHA4No/b6AcjGonRUOGnrryV2pJWKlY3UbuhBcvSoCC7MIVOfTPp1DeLDj0ztrsDlLYsdCSy1cA28zoa3a6MjkRBEY/PtjFe+6bYDbcbw+PB8HpRbvduS1JFYhb+UAxfOIo/HMUXihGOWViWJqY1lkV8rDWWpTEMhcM0sBkKu83AbhjYbQq7aeBxmHgcNrwOE9u+2oTIikHED5HAFoMfrGi8yZa2gMR447xhgukA054Yb5x2gukgZthpiZo0hTRNwShNgQiVLQ2sa15Haet6qgKl1IdLaYiuI0j15lii6UT9nYj6uxALdMHw55IV8JEbbCIn0Eiev4FO/lo6+evp0FpDur9pq0OJZWZhdiompXtX3MVFOPLTceR4cGSYGKEaaNyw9eCr2fxgZUJWN8jtDXl9Ia9fPFmU0Xmnd0yKhGKsXVBD2bIGqtY109oYIuSPYrMZuFLsZHbwkt8ljeKDssnvkrpXm5821QRYPKOMpTMrCPoiONw2uvTPpkv/HDr0SJcaSUL8As3hZj5Y8wFvr3ybpfVLAbBbefibuhANdCJVdWdwh54M75zLwE7p9MhLITfFGf+uCrXA6i+xFk4l8M3n+EuD+KudBOoc6FgiIeO04+rRDefBA3D26IWjczGO4njiWzl23PQ7HAvTEm6hJdxCc7h5h9OblkW2XxaKhfbY82UzbLhNN16HlxR7Cin2FLwOL6n2VLx2L6mOzeM0R9oOx27b7vuuF0LsWFKSR0opE1gBHAeUArOA87XWS7Yo8xtggNZ6vFLqPOBXWutzd7ZdSR4JIdqitSYcjOFrDOFvCtFaH6C+qomGCh+N1QFa66NEw5vL2+wxXF4/LlcrLmcDLnsdblsVTl2PGQ1gxgLYY34cVgCnFcSpg7h0EDdBnCq6xX5BRxVWTGFFFFZUYUWNxHjzoLdctoNysYhBLGqgowodVfAzP57D9hRaUotpTu1MS2oxrSlFBF3Zm4874sMVasAVrMceacGMhbBFQ2AoLJsTbXMScaQQcqQTtKcRtKWjE/8YGjpKerSazHA5mcEyMoKl2CN+tGVBNLp1EigxTSz28w7kp1AK7XajXW4sl4eY00XU5SbicBF2uAjZnATtTgI2J37TQasRH5qVg2ZlpwkbDdhpsGw0Kzsh007UMDcd9+7gtBl4nTY8DhOvw4bXaW6ed9rwOmx4nPF1G5d5HCZeu4nXHiPFjA8eI4rLiGKLBbBF/diifsyoD0KtEPZBuCUx3rhs4+DbPGxMEkUDEAv/ePA7EAV8hkGzYdBsKJoNgxbDoMk0qDFtVJsmVTaTKtNGjWkQsAycEXBGwB2Gjj4objUp8pkUBOxkB224wgYqZKF8UYzWEPhC250HZqoLR25KPCmUaceRoXCkaezeKCY+CDaCrzaeANuW6YD0TpBRvHnI6gq5fSG7O9i276Po59Ba71M/cKKRGCVL6lkzr4a1C2oJ+eKfX6lZLvK6pJJZ4CWzwENajjteEzLNgc0hd28TYleVt5YzrXQa00unM696Hq2RxJ0htYEVycAKZ2FFMnGoVLLdGeR5s8j2pJHlcZPtcZNv1ZHVugZn/VKcq1dglDVh1JvY600cdTbM8ObPE0tBa4adlnQbjakGjSmKGo+m2hOhwRnF71T4neB3gs8FAQfoRA0om7KR5ownYlLtqfFxYkhzpOG2u3EYDhymA7thjw+mHYfh2K72kE58OGv0ps/pmI4RtsKEY1sMW8wHogF8ER+tkdb4EG7FF/HREm7BF/ERjAV3+jzbDBtpjrTtkkpbJZqcm9dtWdZtc+MwHVIDSogfkazk0Ujgb1rrcYn5WwG01v/aoszHiTLfKKVsQCWQq3cS1AGTPHpnfPzCfQvzS5uIWTtu4vKjvyK3WK12UHbLJVuuN8oDmMuad7Ldn/n++NGHtV1AbbNq25I7uxxvdHahLH3Ujz5ix3vf1Qv93bm9HZRRW2xT/3i5th/cdjn9C451R3Zte7v5+VVgKTsxw7nVoNX2P3hckXpSQpV4Q5WkhCpICZWTGqzAEWveam8ahYURH5SB1gZaK7RlxCtfWAoswNIoS0NMg2XFp38C7XSAw4522tAOG9pmJAbApsGwUKaFMqMYZhTTjOKwhbGbYZxGGJcKYzdi8adKgTI0SiVOVw3aUvHpxFhbilqdymR3H4xoJ5SVh9LZoLMAL+CMD8oAHUbpCEoHMGONmLFG7JFaHOEKXIEy7JFatGmhVeLpMFR82ojXvI+aCsuAmAkxA2Km2jRtmSqxLLHcYFPZqKGImZqYsbl8zIgfk2mBEdOYMTAS07YY2CMaZwQcEY0jHB87wxpHBJxbLHNE2GL5T3qptorXMiFqxo8jPo4v1yp+7Bo2T2+5DL39MqV3+EmtNIlTQG98eVF6R2V3bOP7WSc+6fWmT3y11TK0SpTbuixbPSYeJ2gMrTGs+FhptphPvCYbX6fEvGmBI6bir09UY995d15xBphOjc2psXli2FwR7J4odreFzRPD7olh88QwHUai5pMTnCngSAGHd/PYlQ4peeDNAW8ueBPTqQWQUgDt/E5TVsyitrSVilVNVKxupLaklebawHZf93aXicNpYnPEB7vTwLQb2zfZVSTm49Pxt9G+kzjbXyUz9zjitG5yJ8xfwNIW65vXs6h2Eeua17G6YT2rG9ZTHagkEGtB8xP/UNGadD/kN0BxvUXHek2HBk1WK6T6IKUVHJGdv2G0Ea9ciaHAVPE2IWZi2og3m9ObvnQUeuMbcON0YvmmL6bdYQdvcivx7MSUJoomhiaqIIZOLNtinWKb8a59V27+bo3XJjeIN78z2Prw4l/FavP0DsbbTu8qJZ+Re5Sh+Fm1vYMexTfHJ/oeKxgA9p9WO/e2Q28j3Zn+k/e7r9lZ8mjPdIYRVwSUbDFfCoxoq4zWOqqUagKygdotCymlrgauBiguLt5T8e5d1Uu3Sx5l+fxs+Rt0Zx+AO/qxvu2P4J3ZuD7WYhGr+5Gr+j1wBaPh53/57ORxFjZ8tvztlu/wIbucGNu+3I5D2NH2fnwfO41ty2+xXYxXoXfxud0Lx79tzGr7YruyLbXdsvgvcLvlwxVpwNRhTCuMoSPYrACOWAuOaCsOqxVnzIdNxZvZqMRgeO3o1K5EDBPDZscwTAzThmHELx427UUplN2xVVMp7JunNzX3stkwXG4MT7wZlfJ4MNyeRJMqz+bmVR4PyuX6xbdJtiyNPxgg0NJEwN9CyNdMONBKONBCJNBMLOgjFmpFh3yoqB9iEXwxH1Mdc1B6YxMhvSnbpBIJATa9dzamG7Z//uPljM3baKPcZpvn23pb7mj5ji7QtpzZ+vo18QN2i6Xx36/x6a2eba2xR8AZjg+OjUmlMNjDetNyMwa2GJiJpNXm+Y2D3jRWeuOFaGJIJFE2zoPavC5RzrDUxmvSHzvq+Of1NnnhLT/jt53e+lXZiW2ez43P16YotujDAtNEmQbKZqJME8OWOJdsdmw2B6bNjs3uxGZzYLc7cdrdmC5X/Lxwu1BuN4bLjXJvXmakpWFmZGDLyMBIz8DwerauraN1vFaU1vFkkTLbfeJndzBMg7zOaeR1TmPgMZ0AiEUsGqv9tNQH8TfHO/EPNEeIhKJEwhbRcCw+RCy0pTf1/0ai6ebG6Xiyev/qS1NsLxpu649MsSsMZdA1vStd07tut05rjS/iozHUiD/ip94foKrFR2MgSEsoRDiiCEYgFFYEI4pwVGHFTCy3E53hIlAMS6NR1kbqcYQb8VoteCwfKaFG0n31pAYbcYUC2MMhHKEwtnB8MGMxzFgMw4qhovE/vVQs/idY/A8wK/59ZelNlwJKJ2oUbRzDxn8c9g07uuxki//5EtN6m+mN5TbXnNr6sLbarNrZVU2bYYh9wM/5mWmlKFaEE8ndptXx5vg/QUzvhZr2SbYnk0e7jdb6KeApiNc8SnI4u8c107Zb1CkJYRyIRic7ACH2MMNQpHg8pHg8wK7f6nfcngtJiN1Pqd3WjEzsnGk3yC5KIbtoz3TiLYSIU0qR4kghxZE417KSG48QYmunJDuAfdye/AuvjK3zIR0Ty3ZYJtFsLZ14x9lCCCGEEEIIIYQQYh+wJ5NHs4CeSqmuSikHcB4wZZsyU4BLE9NnAV/srL8jIYQQQgghhBBCCLF37bFma4k+jK4HPibeLduzWuvFSqm/A7O11lOAZ4AXlVKrgHriCSYhhBBCCCGEEEIIsY/Yo30eaa0/AD7YZtlft5gOAmfvyRiEEEIIIYQQQgghxM8nty0RQgghhBBCCCGEEG2S5JEQQgghhBBCCCGEaJMkj4QQQgghhBBCCCFEmyR5JIQQQgghhBBCCCHaJMkjIYQQQgghhBBCCNEmSR4JIYQQQgghhBBCiDZJ8kgIIYQQQgghhBBCtEmSR0IIIYQQQgghhBCiTZI8EkIIIYQQQgghhBBtkuSREEIIIYQQQgghhGiTJI+EEEIIIYQQQgghRJskeSSEEEIIIYQQQggh2iTJIyGEEEIIIYQQQgjRJkkeCSGEEEIIIYQQQog2SfJICCGEEEIIIYQQQrRJkkdCCCGEEEIIIYQQok2SPBJCCCGEEEIIIYQQbZLkkRBCCCGEEEIIIYRokySPhBBCCCGEEEIIIUSblNY62TH8JEqpGmB9suMQQgCQA9QmOwghxFbkvBRi3yTnphD7HjkvhdhaZ6117o5W7HfJIyHEvkMpNVtrPSzZcQghNpPzUoh9k5ybQux75LwUYtdJszUhhBBCCCGEEEII0SZJHgkhhBBCCCGEEEKINknySAjxSzyV7ACEENuR81KIfZOcm0Lse+S8FGIXSZ9HQgghhBBCCCGEEKJNUvNICCGEEEIIIYQQQrRJkkdCCCGEEEIIIYQQok2SPBJC7DKllKmU+kEpNTUx31Up9Z1SapVS6jWllCPZMQrR3iil1imlFiql5imlZieWZSmlPlVKrUyMM5MdpxDtiVIqQyn1plJqmVJqqVJqpJyXQiSXUqp34rty49CslPq9nJtC7BpJHgkhfoobgKVbzN8D/Ftr3QNoAK5ISlRCiKO01oO01sMS838CPtda9wQ+T8wLIfaeh4CPtNZ9gIHEvzvlvBQiibTWyxPflYOAoYAfeAc5N4XYJZI8EkLsEqVUR+Ak4OnEvAKOBt5MFHkeOD0pwQkhtnUa8XMS5NwUYq9SSqUDY4BnALTWYa11I3JeCrEvOQZYrbVej5ybQuwSSR4JIXbVg8D/A6zEfDbQqLWOJuZLgaIkxCVEe6eBT5RSc5RSVyeW5WutKxLTlUB+ckITol3qCtQAzyWaej+tlPIi56UQ+5LzgFcS03JuCrELJHkkhPhRSqmTgWqt9ZxkxyKE2M4orfUQ4ATgOqXUmC1Xaq018QSTEGLvsAFDgMe11oMBH9s0g5HzUojkSfTReSrwxrbr5NwUom2SPBJC7IrDgVOVUuuAV4k3V3sIyFBK2RJlOgJlyQlPiPZLa12WGFcT77vhEKBKKdUBIDGuTl6EQrQ7pUCp1vq7xPybxJNJcl4KsW84AZirta5KzMu5KcQukOSREOJHaa1v1Vp31Fp3IV7N9wut9YXAl8BZiWKXApOTFKIQ7ZJSyquUSt04DYwFFgFTiJ+TIOemEHuV1roSKFFK9U4sOgZYgpyXQuwrzmdzkzWQc1OIXaLiNfOEEGLXKKWOBG7WWp+slOpGvCZSFvADcJHWOpTE8IRoVxLn4DuJWRvwX631P5VS2cDrQDGwHjhHa12fpDCFaHeUUoOI32DCAawBLiP+p62cl0IkUeKPlg1AN611U2KZfGcKsQskeSSEEEIIIYQQQggh2iTN1oQQQgghhBBCCCFEmyR5JIQQQgghhBBCCCHaJMkjIYQQQgghhBBCCNEmSR4JIYQQQgghhBBCiDZJ8kgIIYQQQgghhBBCtEmSR0IIIYRod5RSMaXUPKXUYqXUfKXUH5RSO70uUkp1UUot2k3776CUmrobtnOyUurvuyMmIYQQQoi2SPJICCGEEO1RQGs9SGt9EHAccAJw+17c/03AxN2wnfeBU5RSnt2wLSGEEEKIHZLkkRBCCCHaNa11NXA1cL2KM5VS9yqlZimlFiilrtn2MYlaSDOUUnMTw2GJ5S8opU7fotzLSqnTdrDbM4GPEmV+rZR6Vyn1qVJqnVLqeqXUTUqpH5RS3yqlshLlfqeUWpKI6dVE7Br4H3Dy7n1WhBBCCCE2k+SREEIIIdo9rfUawATygCuAJq31cGA4cJVSqus2D6kGjtNaDwHOBR5OLH8G+DWAUiodOIx47aBNEttq0FqHtlh8MHBGYn//BPxa68HAN8AliTJ/AgZrrQcA47d47Gxg9M87ciGEEEKIHyfJIyGEEEKIrY0FLlFKzQO+A7KBntuUsQMTlVILgTeAfgBa62lAT6VULnA+8JbWOrrNYzsANdss+1Jr3aK1rgGagPcSyxcCXRLTC4CXlVIXAVtusxoo/BnHKYQQQgixS2zJDkAIIYQQItmUUt2AGPFEjAJ+q7X+eJsyXbaYvRGoAgYS/zMuuMW6F4CLgPOAy3awuwDg2mbZlrWQrC3mLTZfr50EjAFOAf6ilOqfSEy5EtsUQgghhNgjpOaREEIIIdq1RC2hJ4BHEn0IfQxcq5SyJ9b3Ukp5t3lYOlChtbaAi4k3edtoEvB7AK31kh3scgWbaxPtaowG0Elr/SXwx8T+UxKrewG75S5wQgghhBA7IjWPhBBCCNEeuRPN0uzEm4C9CDyQWPc08eTOXKWUIt7E7PRtHv8Y8JZS6hLiHV/7Nq7QWlcppZYC7+5ox1prn1JqtVKqh9Z61S7GawIvJfpRUsDDWuvGxLqjgFt3cTtCCCGEED+Ziv/BJoQQQgghdgellId4X0VDtNZNbZT5FTBUa/1/v3Bf+cB/tdbH/JLtCCGEEELsjDRbE0IIIYTYTZRSxwJLgf+0lTgC0Fq/A6zbDbssBv6wG7YjhBBCCNEmqXkkhBBCCCGEEEIIIdokNY+EEEIIIYQQQgghRJskeSSEEEIIIYQQQggh2iTJIyGEEEIIIYQQQgjRJkkeCSGEEEIIIYQQQog2SfJICCGEEEIIIYQQQrTp/wPQxMMHpyAsVwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "experiment = 0\n",
    "ops[experiment].groupby('Device')['Miliseconds'].plot.kde(figsize=(20,10))\n",
    "plt.legend(labels=[\"Device 1\", \"Device 2\", \"Device 3\", \"Device 4\", \"Device 5\"])\n",
    "plt.xlabel(\"Delay (ms)\")\n",
    "plt.title(\"Delay Distribution Density (Experiment {})\".format(experiment))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Experiment 0\n",
      "      Device   Delay Sequence\n",
      "1          1  57.908        0\n",
      "14         1  58.197        1\n",
      "19         1  58.460        2\n",
      "25         1  57.821        3\n",
      "32         1  63.355        4\n",
      "...      ...     ...      ...\n",
      "1229       5  50.107      245\n",
      "1231       5  49.642      246\n",
      "1232       5  50.032      247\n",
      "1233       5  50.026      248\n",
      "1234       5  50.286      249\n",
      "\n",
      "[1249 rows x 3 columns]\n"
     ]
    }
   ],
   "source": [
    "detail = {}\n",
    "\n",
    "for _ in experiments:\n",
    "    detail[_] = pd.DataFrame()\n",
    "    detail[_]['Device'] = ops[_]['Device']\n",
    "    detail[_]['Delay'] = ops[_]['Miliseconds']\n",
    "    detail[_]['Sequence'] = ops[_]['Sequence']\n",
    "    detail[_].sort_values(by=['Device', 'Sequence'], inplace=True)\n",
    "    print(\"Experiment {}\".format(_))\n",
    "    print(detail[_])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "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>Device</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sequence</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>57.908</td>\n",
       "      <td>NaN</td>\n",
       "      <td>57.323</td>\n",
       "      <td>58.459</td>\n",
       "      <td>49.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>58.197</td>\n",
       "      <td>57.926</td>\n",
       "      <td>58.169</td>\n",
       "      <td>57.989</td>\n",
       "      <td>50.314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>58.460</td>\n",
       "      <td>57.713</td>\n",
       "      <td>58.006</td>\n",
       "      <td>57.749</td>\n",
       "      <td>48.040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>57.821</td>\n",
       "      <td>63.631</td>\n",
       "      <td>57.653</td>\n",
       "      <td>57.180</td>\n",
       "      <td>48.593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>63.355</td>\n",
       "      <td>57.890</td>\n",
       "      <td>58.593</td>\n",
       "      <td>59.341</td>\n",
       "      <td>49.789</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Device         1       2       3       4       5\n",
       "Sequence                                        \n",
       "0         57.908     NaN  57.323  58.459  49.783\n",
       "1         58.197  57.926  58.169  57.989  50.314\n",
       "2         58.460  57.713  58.006  57.749  48.040\n",
       "3         57.821  63.631  57.653  57.180  48.593\n",
       "4         63.355  57.890  58.593  59.341  49.789"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "device_data={}\n",
    "\n",
    "for _ in experiments:\n",
    "    device_data[_]=detail[_].pivot(index='Sequence', columns=\"Device\", values=\"Delay\")\n",
    "\n",
    "device_data[0].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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gvSP/7gHwVl9fn+rq6rRx48aRfe/KK69UX1+f39EAoOLxkTM8MX/+fDU0NGhoaEiSNDQ0pIaGBs2fP9/nZECwvfbaa2pubtbevXs1NDSkvXv3qrm5Wa+99prf0YDAW7p0qd773veqqqpK733ve7V06VK/IwETwmc+8xlFo1FVV1crGo3qM5/5jN+RACAQ6DCCJ6LRqO677z594Qtf0Pz589XT06O2tjbdeOONfkcDAm3WrFl6/vnntWXLlpFPWpcvX65Zs2b5HQ0IvM2bN+vrX//6yL73sY99zO9IwITQ3t6uD33oQ8rn88pms2pvb/c7EgAEAgUjeCKbzaqtrU0dHR3K5XIKh8Nqa2vThg0b/I4GBJ5z7rjnAZTftGnT9NprrykWi2nv3r2aMWOGXn/9dU2bNs3vaECg1dXV6cCBA/rYxz6m119/XWeffbYOHDiguro6v6MBQMVjSRo8kcvldOutt6q7u1tbtmxRd3e3br31VuVyOb+jAYG2e/durV69WolEQosWLVIikdDq1au1e/duv6MBgXbPPfeorq5O+/fvlyTt379fdXV1uueee3xOBgTbAw88oMmTJ6u3t1dDQ0Pq7e3V5MmT9cADD/gdDQAqHgUjeCIcDqurq6tkW1dXl8LhsE+JgIkhHA6rvr6+pFhbX1/Pvgd4LBaL6f7779dFF12kqqoqXXTRRbr//vsVi8X8jgYEWiwWU0dHhxYsWKCqqiotWLBAHR0d7HsAUAZWCUsVGhoa3NatW/2OgZOQyWSUTCaVTqdHZjnE43GlUin+gAMeYt8D/NfZ2ammpia/YwATDvse4A/2vcpmZs865xqOdhkzjOCJ4TemiURiZIYRb1gB77HvAQAAACgHCkbwTCwWUywWo+IMjDP2PQAAAACnixlGAAAAAAAAKEHBCAACJpPJKBKJqLm5WZFIRJlMxu9IAAAAACoMS9IAIECONfRaEnOMAAAAAIwZBSMACJBUKqUPfOADWrx4sfr7+1VbW6vFixcz+BoAAADASaFgBAAB8vzzz+uFF15Qe3u75s+fr56eHrW1tWlwcNDvaAAAAAAqCDOMACBAzEwrVqzQqlWrNHnyZK1atUorVqyQmfkdDQAAAEAFoWAEAAHinNOmTZuUzWY1ODiobDarTZs2yTnndzQg8Bg4DwAAgoQlaQAQILW1tZo9e3bJDKOGhgbt2bPH72hAoDFwHgAABA0dRvAMn7QC4++SSy7RM888o5aWFm3cuFEtLS165plndMkll/gdDQi0VCqldDqtaDSq6upqRaNRpdNppVIpv6MBAACcEjqM4Ak+aQX8sWvXLi1ZskQdHR269957VVtbqyVLluinP/2p39GAQMvlcmpsbCzZ1tjYqFwu51MiAACA00OHETzBJ62AP3K5nD760Y/q3e9+t6qqqvTud79bH/3oR3nTCngsHA6rq6urZFtXV5fC4bBPiQAAAE4PHUbwBJ+0Av6YNWuWWltbtX79+pHuvmXLlmnWrFl+RwMCLZlMaunSpaqrq9OLL76ouXPnqq+vT2vWrPE7GgAAwCmhwwie4JNWwD9mdtzzALzFUQkBAEAQ0GEETySTSS1ZskRvvvmmBgYGVFNTozPOOEP33Xef39GAQNu9e7cefPBBJRIJ5XI5hcNhtbe367rrrvM7GhBoqVRKN9xwgzZs2CAzU11dnZYvX65UKsXsPgAAUJEoGMET3/ve93Tw4EFNnz5d+/bt07nnnqt9+/bpe9/7Hi+cAQ+Fw2HV19eru7tbnZ2dampqUjabpbsP8FhPT4/6+vrU0dExshy0paVFO3bs8DsaAADAKWFJGjzxwAMPKBaL6dxzz5UknXvuuYrFYnrggQd8TgYE2/AclQsvvFDNzc268MILtXTpUiWTSb+jAYE2adIkJRKJkoM9JBIJTZo0ye9oAAAAp4QOI3iiv79fzzzzzC990trf3+93NCDw3nrrLb322msaGhrSrl27NHnyZL8jAYF3+PBh3XHHHVq7dq127NihefPmqa+vT4cPH/Y7GgAAwCmhwwieMDMtXry45JPWxYsXM3wX8Fhra6umTJmiJ598Uk899ZSefPJJTZkyRa2trX5HAwJt9uzZGhgYkPSLQfMDAwOaPXu2n7EAAABOGR1G8IRzTvfff7/+5V/+Rfv27dP06dP1yiuvcOQYwGM7d+7U5s2bFY1GR2YYrVu3TgsXLvQ7GhB4kydPLumsXbZsmd+RAAAAThkdRvBEfX29QqGQ9u7dK+ec9u7dq1AopPr6er+jAQBQdrt379bVV1+txYsX67LLLtPixYt19dVXa/fu3X5HAwIvk8koEomoublZkUhEmUzG70gAEAh0GMEThw4d0tDQkO666y7Nnz9fPT09am1t1aFDh/yOBgRafX29rrnmGq1fv175fF7ZbFbXXHMNxVrAY7NmzdKjjz6qTZs2lXQYzZo1y+9oQKBlMhklk0ml0+mRfS8ej0sSR+YFgNNEhxE8sX//ft18883q6OjQhz/8YXV0dOjmm2/W/v37/Y4GBNrq1at16NAhLVq0SJdddpkWLVqkQ4cOafXq1X5HAwLvyDl9zO0DvJdKpZROp0vmZqbTaaVSKb+jAUDFo2AEz1x66aXq7u7Wli1b1N3drUsvvdTvSMCEUFtbq9mzZ6uqqkqzZ89WbW2t35GAwNu9e7fa29uVSCS0aNEiJRIJtbe3syQN8Fgul1NjY2PJtsbGRuVyOZ8SAUBwUDCCJ4aXxWSzWQ0ODrIsBhgnqVRKDz/8sLZt26YtW7Zo27Ztevjhh/mkFfBYOBxWfX19yQcl9fX1CofDfkcDAi0cDqurq6tkW1dXF/seAJQBM4zgidWrV2vlypVqaWnRjh07NG/ePOXzed19991+RwMCjU9aAX8kk0ktXbpUdXV1evHFFzV37lz19fVpzZo1fkcDAi2ZTCoej4/MMMpms4rH43xQAgBlQMEInhgeMphKpWRmqqur0+23387wQcBjw5+0RqPRkW180gqML+ec3xGACWP4tWUikVAul1M4HFYqleI1JwCUgVXCi5qGhga3detWv2PgFHV2dqqpqcnvGMCEcKyjxfDiGfBWJBLR2rVrFY1GR/7uZbNZJRIJdXd3+x0PmBB4zQn4g32vspnZs865hqNdRocRAAQIn7QC/mA5KAAACBqGXgNAwMRisZLBuxSLAO8xeBcAAAQNBSMAAIDTNDx4d/TRQePxuJLJpN/RAAAATglL0gAAAE4Ty0EBAEDQUDACAAAog1gsplgsxvBPAAAQCCxJAwAAAAAAQAkKRgAQMJlMRpFIRM3NzYpEIspkMn5HAgAAAFBhWJIGAAGSyWSUTCaVTqeVz+cVCoUUj8cliVkqAAAAAMaMDiMACJBUKqV0Oq1oNKrq6mpFo1Gl02mlUim/owEA4Ak6awHAGxSMACBAcrmcdu7cWfLCeefOncrlcn5HAwKPN63A+BvurF27dq2efPJJrV27Vslkkv0PAMqAJWkAECCzZs1SW1ubHnrooZElacuXL9esWbP8jgYEWiaT0cqVK1VXVyfnnPr6+rRy5UpJLAcFvDS6s3b4CIXpdFqJRIJ9DwBOEx1GABAwzrnjngdQfq2trQqFQuro6NDmzZvV0dGhUCik1tZWv6MBgZbL5dTY2FiyrbGxkc5aACgDOowAIEB2796tBx98UIlEQrlcTuFwWKtXr9Z1113ndzQg0Hbu3KnNmzeXdDl8+ctf1sKFC/2OBgRaOBzWbbfdpg0bNoz83VuyZInC4bDf0QCg4tFhBAABEg6HVV9fr+7ubm3ZskXd3d2qr6/nhTMwDp5++umSGUZPP/2035GAwItGo2pvb1dLS4sef/xxtbS0qL29XdFo1O9oAFDx6DACgABJJpNaunSp6urq9OKLL2ru3Lnq6+vTmjVr/I4GBNq0adN05513avXq1Zo/f756enrU2tqqadOm+R0NCLRsNqu2tjZ1dHSMdBi1tbVpw4YNfkcDgIrnacHIzM6R9CVJEUlOUoukFyQ9LOkCSdsl/YFzrtfLHAAwETG7CBg/Z555pvL5vNauXTtSrJ0yZYrOPPNMv6MBgZbL5fTcc8/pc5/73Mhy0IGBAX3+85/3OxoAVDyvl6StkfQt59x7JX1AUk7SLZK2OOd+VdKW4nkAQBmkUik9/PDD2rZtm55++mlt27ZNDz/8sFKplN/RgEDbvXu31q5dq7q6OklSXV2d1q5dq927d/ucDAi2cDisrq6ukm1dXV0sxQaAMvCsYGRmZ0v6XUlpSXLOHXbOvSbpI5LWFa+2TtISrzIAwETD0WIAfzA/DPBHMplUPB5XNpvV4OCgstms4vG4ksmk39EAoOJ5uSTtQkmvSPpHM/uApGclrZQ0wzm3p3idlyXNONqNzewGSTdI0owZM9TZ2elhVHjp4MGD/P6AcTJ37lzdc889+uAHPziy7z333HOaO3cu+yHgoauvvlrLly/XzTffrAsvvFB///d/rzvvvFPxeJx9D/DQzJkztXz5crW0tIwsB/3EJz6hmTNnsu8B44T3e8FlXs24MLMGSd+XdLFz7gdmtkbSG5ISzrlzRl2v1zk39Xj31dDQ4LZu3epJTnhveD05AO9lMhklk0ml02nl83mFQiHF43GlUinFYjG/4wGBlkgk9MADD6i/v1+1tbVasWKF1q5d63csYMLgNSfgD/a9ymZmzzrnGo52mZcdRjsl7XTO/aB4/p9VmFe018xmOuf2mNlMSfs8zAAAE8pwUSiRSIwcLYZiEeC9TCajxx9/XJs2bSop1n7oQx9i/wMAABXJsxlGzrmXJb1kZu8pbmqW1CPpMUnXFrddK+kbXmUAgIkoFouVzFHhzSrgvVQqpWXLlimRSGjRokVKJBJatmwZA+cBAEDF8rLDSJISkh4ys0mSfibpehWKVF8zs7ikHZL+wOMMAPC2YGZ+R/CcV8ucgbe7np4e9fX1qaOjY6TDqKWlRTt27PA7GgAAwCnxrMNIkpxzP3TONTjn3u+cW+Kc63XOveqca3bO/apz7vecc/u9zAAAbxfOuXE9zWv75rg/JjBRTZo0SYlEQtFoVNXV1YpGo0okEpo0aZLf0QAAAE6J1x1GAAAAgXf48OGRIxTm83lls1ndc889Onz4sN/RAAAATgkFIwAAgNM0f/58LVmypGTg/LJly7Rhwwa/owG+YSk2AFQ2CkYAACDQxutN6/PPP1/y/fD58Xh83rTi7Wi8/11ecMvj2n7Hh8f1MQEgyDydYQQAAOC38ZrhtX79ei1YsECyKi1YsEDr169nfhgAAKhYdBgBAACUQSwWUywW0wW3PK5uuhwAAECFo8MIAAAAAAAAJSgYAQAAAAAAoAQFIwAAAAAAAJSgYAQAAAAAAIASFIwAAAAAAABQgoIRAAAAAAAASlAwAgAAAAAAQIlqvwNg/JmZ3xE85ZzzOwIAAAAAABWNDqMJyDk3rqd5bd8c18cDAAAAAACnh4IRAAAAAAAASlAwAgAAAAAAQAkKRgAAAAAAAChBwQgAAAAAAAAlKBgBAAAAAACgRPVYr2hmdZLecs7lPcwDAOPmA7dt1utvDvgdw1MX3PK43xE8c/YZNfrRrQv9jgEAAAAE0jELRmZWJekPJS2X9BuS+iXVmtnPJT0u6X7n3H+NS0oA8MDrbw5o+x0f9juGZzo7O9XU1OR3DM8EuRgGAAAA+O14HUZZSd+W9BlJ3c65IUkys2mSopLazexR59xXvI8JAACCgu6+ykZ3X+Vi36ts7HsAxtvxCka/55z7pb8ozrn9kr4u6etmVuNZsgmEP96Viz/cAHDy6O6rbEH9mz4RsO9VNvY9AOPtmAWj4WKRmb1L0k7nXL+ZNUl6v6QvO+deO1pBCSePP96Viz/cAAAAAIAgGstR0r4uKW9m75b0RUlzJK33NBUAAAAAAAB8M5aC0ZBzblDS1ZLWOuduljTT21gAAAAAAADwy1gKRgNmFpN0raRvFrcxuwgAAAAAACCgxlIwul7Sb0tKOee2mdmFkv7J21gAAAAAAADwy/GOkiZJcs71SPrUqPPbJLV7GQoAAAAAAAD+OWHByMyukPR3kuYVr2+SnHPuHR5nmzDOCt+i9627xe8Y3lrndwBvnBWWpOAe4Q4AAAAAMDGdsGAk6X9J+qiknzjnnLdxJqYDuTu0/Y7gFh06OzvV1NTkdwxPXHDL435HwGmgWFvZKNhWLva9ysa+V7nY9yob+x6A8TaWgtFLkropFgEIGoq1lY2CbeVi36ts7HuVi32vsrHvARhvYykYtUp6wsy+I6l/eKNz7m7PUgEAAAAAAMA3YykYpSQdlDRZ0iRv4wAAAAAAAMBvYykYzXLORTxPAgAAAAAAgLeFsRSMnjCzhc65zZ6nAYBxFvh5AN8K7s939hk1fkfAaWDfq1zsewAATAxjKRjdJOkvzaxf0oAkk+Scc+/wNNkEwwvnysSL5soW5MGfUuH/laD/jKhMQf93yb6HtzNec1YuXncCGG8nLBg5584ajyATWdBfVPLCGQAAwH9Bfz3Ga04AKK+qY11gZhcc74ZWUF/2RAAAAAAAAPDV8TqM7jSzKknfkPSspFdUOFLauyVFJTVLulXSTq9DAgAAAAAAYPwcs2DknPt9M5svabmkFkkzJR2SlJP0hKSUc+6tcUkJAAAAAACAcXPcGUbOuR5JyXHKAgAAAAAAgLeBY84wAgAAAAAAwMREwQgAAAAAAAAlKBgBAAAAAACgxHFnGA0zs9mS5o2+vnPuu16FAgAAAAAAgH9OWDAys3ZJSyX1SMoXNztJFIwAAAAAAAACaCwdRkskvcc51+9xFgAAAAAAALwNjGWG0c8k1XgdBAAAAAAAAG8PY+kwOiTph2a2RdJIl5Fz7lOepQIAAAAAAIBvxlIweqx4AgAAAAAAwARwwoKRc26dmU2SdFFx0wvOuQFvYwEAAAAAAMAvYzlKWpOkdZK2SzJJc8zsWuccR0mrUGY2/o/ZPn6P5ZwbvwcDAAAAACCAxrIk7S5JC51zL0iSmV0kKSPpv3kZDN4Z74JKZ2enmpqaxvUxAQAAAADAqRvLUdJqhotFkuSc+09x1DQAAAAAAIDAGkuH0VYz+5KkrxTPL5e01btIABBMQV8OKrEkFG9P7HsAAAAnbywdRjdJ6pH0qeKpp7gNOK5MJqNIJKLm5mZFIhFlMhm/IwG+cs6N6ymbzY77YwJvR+Pxb3/9+vW68MIL9fTTT+upp57S008/rQsvvFDr169n3wMAABVpLEdJ65d0d/EEjEkmk9HKlStVV1cnSerr69PKlSslSbFYzM9oAACUXSqV0gc+8AEtXrxY/f39qq2t1eLFi5VKpfi7hwmL7j4AqGzH7DAys68Vv/7EzH585Gn8IqIStba2qrq6Wh0dHXryySfV0dGh6upqtba2+h0NAICye/755/XNb35Tt99+uzZt2qTbb79d3/zmN/X888/7HQ3wzXh1t65fv14LFixQVVWVFixYMG6dfRSLAATd8TqMVha/XjEeQRAsO3fu1ObNmxWNRkeOkrZu3TotXLjQ72gAAJSdmWnFihVatWqVOjs7tWrVKv3Xf/2X7rvvPr+jAYGWyWSUTCaVTqeVz+cVCoUUj8cl0dUOAKfrmB1Gzrk9xW//1Dm3Y/RJ0p+OTzwAAIC3P+ecNm3apGw2q8HBQWWzWW3atIkOBMBjqVRKy5YtUyKR0KJFi5RIJLRs2TKlUim/owFAxRvLUdIuk9R2xLbFR9kGjKivr9cVV1yhw4cPj2ybNGmS6uvrfUwFAIA3amtrNXv27JIZRg0NDdqzZ8+JbwzglPX09Gjv3r2aMmWKnHPq6+vT/fffr1dffdXvaABQ8Y5ZMDKzm1ToJPqVI2YWnSXpGa+DobJNnTpVO3fu1JQpU3Tw4MGRr1OnTvU7GgAAZXfJJZdo8+bNuummm3T55ZfriSee0L333stSbMBjoVBI+XxeHR0dI0vSPvaxjykUCvkdDQAq3jGXpElaL+lKSY8Vvw6f/ptz7hPjkA0VrLu7W/X19err65NUOEpafX29uru7fU4GBF8mk1EkElFzc7MikYgymYzfkYDA27Vrl5YsWaKOjg5deeWV6ujo0JIlS7Rr1y6/owGBNjg4qNra2pJttbW1Ghwc9CkRAATHMTuMnHOvS3pdUkySzGy6pMmSppjZFOfci+MTEZXIOaddu3Zp+vTp2rt3r6ZPn65du3YxywHwGMM/AX/kcjm1tbXppz/9qXK5nN797nfrox/9qK677jq/owGBd/311yuRSCiXyykcDuv666/X5z//eb9jAUDFsxO9gTezKyXdLWmWpH2S5knKOecWeB+voKGhwW3dunW8Hg5lYGYKhUKaM2eOXnzxRc2dO1cvvfSS8vk8RSPAQ5FIRL/6q7+qTZs2jcxRWbx4sX7605/S4Qd4aM6cOTpw4ICmTp068nevt7dXZ511ll566SW/4wGBNWfOHB08eFDnnHPOyL732muvacqUKex7wDgZPio2KpOZPeucazjaZcdbkjbsc5L+u6T/dM5dKKlZ0vfLmA8Blc/n9f73v19f//rX9f73v1/5fN7vSEDg9fT0aOPGjbr99tu1adMm3X777dq4caN6enr8jgYE2qFDh/T6669r+/btGhoa0vbt2/X666/r0KFDfkcDAm3JkiV6/fXX9dJLL2loaEgvvfSSXn/9dS1ZssTvaABQ8cZSMBpwzr0qqcrMqpxzWUlHrT4Bo02dOlWPPfaYrr76aj322GMMvAbGyQ033KBVq1Zp8uTJWrVqlW644Qa/IwGBt3//fklSVVVVydfh7QC8sWHDBtXU1Ix8MJnP51VTU6MNGzb4GwwAAmAsBaPXzGyKpO9KesjM1kjq8zYWgqC3t1dTp06VmWnq1Knq7e31OxIQeM45bdq0SdlsVoODg8pms9q0aRNLQYFxUFVVNXJkplAoNFI0AuCdnTt36vDhw5oxY4bMTDNmzNDhw4e1c+dOv6MBQMU75tDrUT4i6U1JfyFpuaSzJf2tl6FQ+aqqqjQ0NKQ33nhDzjm98cYbI9sBeKe2tlazZ8/W4sWLR2YYNTQ0aM+ePX5HAwJvaGhIZ599tnp7ezVlyhQ+KAHGyZQpU5TJZEYO9nDVVVfp4MGDfscCgIp33HfvZhaS9E3n3JBzbtA5t8459w/FJWrAMQ2/aJ4zZ47MTHPmzNHZZ5+toaEhv6MBgXbJJZfomWeeUUtLizZu3KiWlhY988wzuuSSS/yOBkwIwx+QDH8F4L2amprjngcAnJrjdhg55/JmNmRmZzvnXh+vUAiGqVOnavv27ZKk7du364ILLtDrr/PPCPDSrl271NDQoPvuu0/33nuvzEwNDQ3atWuX39GACeHMM89UX1+fzjzzTB04cMDvOMCEcPjwYbW0tIwcJe3w4cN+RwKAQBjLkrSDkn5iZk9p1Owi59ynPEuFildbW6vt27frrLPOUl9fn+rq6rR9+3bV1tb6HQ0ItJ6eHp133nmaN2+eduzYMfL15z//ud/RgMCrqqoaKRIdOHBgZHk2AO9MmzZNvb29evPNN+Wc05tvvqlDhw5p2rRpfkcDgIo3loLRvxRPwJj19/fLzEY+YT3zzDN18OBB9ff3+x0NCLRQKKR8Pq+Ojo6RWQ4f//jHRwbxAvCOc04zZszQvn37NH36dO3bt8/vSEDg3XPPPYrH49q7d68kae/evTrjjDN0zz33+JwMACrfCQtGzrl14xEEwXP55Zfr29/+tiTptdde0+WXX67HH3/c51RAsA0ODh51lsPg4KBPiYCJob6+Xnv37i1501pTU6MZM2b4nAwIvilTpmjGjBkjS9L6+jigMwCUwwkPWWVm28zsZ0eexiMcKtt3vvMdbdq0SU899ZQ2bdqk73znO35HAiaE66+/XolEQosWLVIikdD111/vdyQg8JYsWaLBwcGRbr5QKKTBwUEtWbLE32BAwKVSKV188cXas2ePhoaGtGfPHl188cVKpVJ+RwOAijeWJWkNo76fLOn3JbEoGMdlZjp48KAeeeQRXX755XriiSd08OBBmZnf0YBAq6+v17p16/TQQw+NLElbvny56uvr/Y4GBNqGDRv0jne8Q1OnTtWOHTs0Z84c9fb2asOGDVq7dq3f8YDAev755/XCCy+ovb1d8+fPV09Pj9ra2uisBYAyOGGHkXPu1VGnXc65/yXpw95HQ6U744wzdO+99+rKK6/UvffeqzPOOMPvSEDgrV69WoODg2ppadGiRYvU0tKiwcFBrV692u9oQKDt3LlTjzzyiLZt26ann35a27Zt0yOPPKKdO3f6HQ0INDPTihUrtGrVKk2ePFmrVq3SihUr+JASAMpgLEvSfn3UqcHMbtTYOpMwgc2fP1+rVq3SggULVFVVpQULFmjVqlWaP3++39GAQIvFYlq6dGlJa/7SpUsVi8X8jgYAQNk557Rp0yZls1kNDg4qm81q06ZNcs75HQ0AKt5YCj93jfp+UNJ2SX/gSRoERjKZVDKZVDqdHlkWE4/HWU8OeCyTyejhhx/WzJkz9eKLL2rmzJl6+OGH9aEPfYiiEeCh+vp6XXvttSPLQbPZrK699lqWgwIeq62t1ezZs7V48WL19/ertrZWDQ0N2rNnj9/RgMDLZDJKpVLK5XIKh8NKJpO83gyYsRwlLToeQRAssVhM3/ve90r+eK9YsYL/QACPtba2qrq6Wh0dHSUzjFpbW9n/AA+tXr1aK1euVEtLy8iRmgYHB3XXXXed+MYATtkll1yizZs366abbhqZm3nvvfdq4cKFfkcDAi2TyRy1QUASrzkD5LhL0szsPWZ2l5k9Xjx9wcwuGq9wqFyjuxzMbKTLIZPJ+B0NCLSdO3dq3bp1ikajqq6uVjQa1bp165ijAniM5aCAP3bt2qUlS5aoo6NDV155pTo6OrRkyRLt2rXL72hAoKVSKaXT6ZLXnOl0mhUlAXPMDiMz+21J/yLpi8WTSfqgpE4z+6hz7vvjExGVqLW1VYcPH1ZdXd3ItsOHD9PlAAAIpEwmo8cff1ybNm0q+aSV5aCAt3K5nJ577jnV1NSos7NTTU1NGhgY0OTJk/2OBgRaLpdTY2NjybbGxkblcjmfEsELx+sw+p+SYs65W51z33DObXDO3SopJunW8YmHSrVz586RYYPDR6lwztHlAHisvr5e11xzTcnwz2uuuYY5KoDH+KQV8Ec4HNZtt92mSCSi5uZmRSIR3XbbbQqHw35HAwItHA6rq6urZFtXVxf7XsAcb4bRu5xznUdudM59x8y+6F0kBEUoFCqZo/Kxj33M70hA4I2eo7Jjxw7NmzdP+Xxed999t9/RgEDjk1bAH9FoVO3t7Wpvb9f8+fPV09OjtrY23XjjjX5HAwItmUwqHo+PzDDKZrMc5CiAjlcwOnCcy/rKHQTBM9xZdKzzAMpveOlLKpWSmamurk633347S2IAjw1/0hqN/uJYIXzSCngvm82qra1NHR0dI0dqamtr04YNG/yOBgTa8GvLRCIxsu+lUilecwbM8QpGc8zsH46y3STNHsudm9l2FQpPeUmDzrkGM/sbSSskvVK82medc0+MOTEqxltvvaVFixZpYGBANTU1qqmp8TsSAACeSCaTWrp0qerq6ka6+/r6+rRmzRq/owGBNjzD6HOf+1zJDKPPf/7zfkcDgIp3vILRzce5bOtJPEbUOffzI7b9vXPuCydxH6gw06ZNU29vr2bMmKF9+/bp3HPP1d69ezVt2jS/owGBlslktHLlStXV1ck5p76+Pq1cuVIShzgFxgsdtcD4obsP8Mfo15ySeM0ZUDY8mNiTOy90GDWMLhgVO4wOnkzBqKGhwW3dejI1Kvhtzpw5OnDggKZOnTrySWtvb6/OOussvfTSS37HAwJrzpw5Ghwc1Pr160fmhy1btkzV1dXse4CHIpGIlixZog0bNoy05g+f7+7u9jseEFiZTEbJZHJkjsrwEQpZGgN4a86cOcrn83rooYdG9r3ly5crFArxmrPCmNmzzrmGo112vA6jcnCSNpuZk3S/c254WPYnzewaFTqVPu2c6z3yhmZ2g6QbJGnGjBnq7Oz0OCrKaffu3Wpra1Mmkxn5pPVP//RP1d7ezu8S8NDOnTt15513ysz01ltvacqUKfr0pz+tm2++mX0P8FBPT49effVVtba26sILL9S2bdu0evVq7d27l30P8NDMmTO1fPlytbS06MUXX9TcuXP1iU98QjNnzmTfAzx0tNecq1at4jVnwHjdYTTbObfLzKZLekpSQtILkn6uQjHp7yTNdM61HO9+6DCqPJFIRGvXrlU0Gh1ZT57NZpVIJPikFfCQmWnz5s267LLLRva9p556SgsXLpSX/98DE93kyZN1++23a9WqVSP73t13363Pfvazeuutt/yOB0wIw/seAO/xmjM4jtdh5GnB6IgQf6MjlqKZ2QWSvumcixzvthSMKg/twYA/aA8G/FFVVaVzzz1XU6ZMGelyOHjwoF599VUNDQ35HQ+YECgYAeOHMQjBcVpL0o5xpLTXJW11zn3jOLerk1TlnDtQ/H6hpL81s5nOuT3Fq10tiXaTAOIwi4A/Vq9erZUrV5a05g8ODuquu+7yOxoQaLNnz9aBAwckaeST1YGBAc2ePaYDywIAUFFGv+Ycnlmbz+d19913+x0NZTSWGUaTJb1X0iPF8x+TtE3SB8ws6pz782PcboakR4vza6olrXfOfcvM/snMfk2FJWnbJf3JKafH21osFlMsFuPTHmAcDRdlU6mUJKmurk633347xVpgHJx55pnq6Ogo6e4DACCIRr/mNDNecwbUCZekmdn3JV3snMsXz1dL+j+SGiX9xDk33+uQLEmrbBSMAH+w7wHjJxQK6cEHH1R7e/tIZ21bW5uuu+465fN5v+MBEwJ/9wB/sO9VtuMtSasaw+2nSpoy6nydpGnFAlJ/GfIBAMook8koEomoublZkUhEmUzG70hA4IXDYdXX16u7u1tbtmxRd3e36uvrFQ6H/Y4GAABwSsayJG21pB+aWackk/S7km4vziX6tofZAAAn6VgD5yXRIgx4KJlMKh6Pj+x72Wx25GAPAAAAleiEBSPnXNrMnpD0m8VNn3XO7S5+f7NnyQAAJy2VSimdTisajY60B6fTaSUSCQpGgIc42AMAAAiasSxJG77eK5J6Jb3bzH7Xu0gICpbFAOMvl8upsbGxZFtjY6NyuZxPiYCJIxaLlSxJo1gEAAAq2Qk7jMysXdJSSc9LGipudpK+62EuVDiWxQD+CIfD6urqUjQaHdnW1dXFHBUAAAAAJ2UsM4yWSHqPc44B1xizVCqlZcuWlbTmL1u2jPZ8wGPMUQEAAABQDmMpGP1MUo04IhpOQk9Pj/r6+tTR0THSYdTS0qIdO3b4HQ0INOaoAAAAACiHsRSMDqlwlLQtGlU0cs59yrNUqHiTJk3SxRdfXPKm9eKLL9aePXv8jgYEXiwWUywWGxl6DQAAAAAnaywFo8eKJ2DM+vv7lclkNH36dEnSq6++qkwmo6GhoRPcEgAAAAAA+O2EBSPn3LrxCIJgqa6u1uTJkzV58mQ55zR58mSdeeaZeuutt/yOBgAAAAAATqDqWBeY2deKX39iZj8edfqJmf14/CKiEg0ODqqurk4dHR3avHmzOjo6VFdXp8HBQb+jAQDgiUwmo0gkoubmZkUiEWUyGb8jAQAAnLLjdRitLH69YjyCIHiuv/76khlG119/ve644w6/YwEAUHaZTEbJZHLkCIWhUEjxeFySGDoPAAAq0jELRs654enEP5f0pnNuyMwukvReSZvGIxwqV319vR588EGtX79+5IXzsmXLVF9f73c0AADKLpVKadmyZSUflCxbtoyjFAIAgIo1lqHX35X0O2Y2VdJmSf8maamk5V4GQ2VbvXq1Vq5cqZaWFu3YsUPz5s1TPp/X3Xff7Xc0AADKrqenR4cOHfqlDqPt27f7HQ0AAOCUHHOG0SjmnDsk6aOS/rdz7vclLfA2FipdLBbTmjVrVFdXJzNTXV2d1qxZw6esAIBAmjRpkj75yU8qGo2qurpa0WhUn/zkJzVp0iS/owGBx/wwAPDGWDqMzMx+W4WOonhxW8i7SAiKWCymWCymzs5ONTU1+R0HmDAymYxSqdTIsphkMkmxFvDY4cOHtXbtWn3wgx9UPp9XNpvV2rVrdfjwYb+jAYHG/DAA8M5YCkZ/Lukzkh51zj1vZr8iKetpKgDAKeGFM+CP+fPna8mSJSUzjJYvX64NGzb4HQ0INOaHAYB3Tlgwcs59R9J3JMnMqiT93Dn3Ka+DAQBOXiqVUjqdVjQaHenuS6fTSiQSvHAGPJRMJo9arE2lUn5HAwKtp6dHfX196ujoGNn3hmdoAgBOzwlnGJnZejN7h5nVSeqW1GNmN3sfDQBwsnK5nBobG0u2NTY2KpfL+ZQImBhisZhSqZQSiYQWLVqkRCJBhwMwDiZNmqREIlEyPyyRSDA/DADKYCxDr+c7596QtETSJkkXSvojL0MBAE5NOBxWV1dXybauri6Fw2GfEgEA4J3Dhw/rnnvuUTab1eDgoLLZrO655x7mhwFAGYxlhlGNmdWoUDC6xzk3YGbO21gAgFORTCYVj8dHlsVks1mWxQDjgPlhgD+ONj9s2bJlzA8DgDIYS8HofknbJf1I0nfNbJ6kN7wMBQA4NcNvTEe/cGZZDOA95ocB/mB+GOAfjswbfObcyTcLmVm1c27QgzxH1dDQ4LZu3TpeD4cy4T8QwF/Db1oBeC8UCumtt95STU3NyL43MDCgyZMnK5/P+x0PCDRecwLjL5PJaOXKlaqrq9OLL76ouXPnqq+vT2vWrGH/qzBm9qxzruFol52ww8jMZki6XdIs59xiM5sv6bclpcsbE0FCaz4AYCIZnh8WjUZHtjE/DBgfsVhMsViMD0qAcdTa2qrq6uqSIxQuX75cra2tvN8LkLEMvX5Q0pOSZhXP/6ekP/coDwJidGv+8BEr0uk07cEAgEAanh82evBuPB5XMpn0Oxo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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "experiment = 0\n",
    "device_data[experiment].dropna(inplace=True)\n",
    "device_data[experiment].boxplot(figsize=(20,10))\n",
    "plt.xlabel(\"Device\")\n",
    "plt.ylabel(\"Processing Duration (ms)\")\n",
    "plt.title(\"Processing Delay by device (Experiment {})\".format(experiment))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SRUP Experiment 0 – Device 1 - Average = 58.411192 ms\n",
      "SRUP Experiment 0 – Device 2 - Average = 58.77621686746988 ms\n",
      "SRUP Experiment 0 – Device 3 - Average = 58.56696 ms\n",
      "SRUP Experiment 0 – Device 4 - Average = 58.55074799999999 ms\n",
      "SRUP Experiment 0 – Device 5 - Average = 49.8274 ms\n"
     ]
    },
    {
     "data": {
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       "    .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>Experiment</th>\n",
       "      <th>Device</th>\n",
       "      <th>Mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>58.411192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>58.776217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>58.566960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>58.550748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>49.827400</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Experiment  Device       Mean\n",
       "0           0       1  58.411192\n",
       "1           0       2  58.776217\n",
       "2           0       3  58.566960\n",
       "3           0       4  58.550748\n",
       "4           0       5  49.827400"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summary = pd.DataFrame()\n",
    "summary['Experiment'] = None\n",
    "summary['Device'] = None\n",
    "summary['Mean'] = None\n",
    "\n",
    "devices=[]\n",
    "for _ in mapping:\n",
    "    devices.append(mapping[_])\n",
    "\n",
    "for _ in experiments:\n",
    "    for dev in devices:\n",
    "        dev_means_exp_df = ops[_].groupby(['Device'])['Miliseconds'].agg([np.average])\n",
    "        dev_mean = dev_means_exp_df['average'][dev]\n",
    "        print(\"SRUP Experiment {} – Device {} - Average = {} ms\".format(_, dev, dev_mean))\n",
    "        d = {}\n",
    "        d['Experiment'] = _\n",
    "        d['Device'] = dev\n",
    "        d['Mean'] = dev_mean\n",
    "        summary = summary.append(d, ignore_index=True)\n",
    "    \n",
    "summary['Device'] = summary['Device'].astype('int32')\n",
    "summary['Experiment'] = summary['Experiment'].astype('int32')\n",
    "summary.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "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>Device</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Experiment</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>58.411192</td>\n",
       "      <td>58.776217</td>\n",
       "      <td>58.56696</td>\n",
       "      <td>58.550748</td>\n",
       "      <td>49.8274</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Device              1          2         3          4        5\n",
       "Experiment                                                    \n",
       "0           58.411192  58.776217  58.56696  58.550748  49.8274"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exp_summary=summary.pivot(index='Experiment', columns=\"Device\", values=\"Mean\")\n",
    "exp_summary.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "exp_summary.plot(kind='bar', figsize=(20,10))\n",
    "plt.title('Mean Delay by device for SRUP Experiments')\n",
    "plt.ylabel('Mean Delay (ms)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saving summary data as srup_summary_four.csv\n"
     ]
    }
   ],
   "source": [
    "filename = \"srup_summary_four.csv\"\n",
    "print(\"Saving summary data as {}\".format(filename))\n",
    "exp_summary.to_csv(filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}