{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Getting started with acoustic well log data using the dlisio Python library on the Volve Data Village dataset\n",
    "\n",
    "### Erlend Magnus Viggen<sup>1</sup>, Erlend Hårstad<sup>2</sup>, Jørgen Kvalsvik<sup>2</sup>\n",
    "\n",
    "<sup>1</sup> Centre for Innovative Ultrasound Solutions and Dept. of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway\n",
    "<br/>\n",
    "<sup>2</sup> Software Innovation Bergen, Equinor ASA, Bergen, Norway\n",
    "\n",
    "## Introduction\n",
    "\n",
    "This Jupyter Notebook is a companion to the [article](https://www.researchgate.net/publication/340645995_Getting_started_with_acoustic_well_log_data_using_the_dlisio_Python_library_on_the_Volve_Data_Village_dataset) of the same name, published in the Proceedings of the 43rd Scandinavian Symposium on Physical Acoustics in 2020. While the article provides more background information and a tidier presentation of the results, this notebook shows the code underlying these results.\n",
    "\n",
    "The notebook uses the dlisio library to investigate data from a sonic and an ultrasonic tool in an integrity well log file from the open [Volve Data Village dataset](https://data.equinor.com/dataset/Volve). The file in question is `WL_RAW_PROD_AC-AIMG-CCL-GR_2013-06-05_2.DLIS`, from well F-11 B. While investigating acoustic data from two specific tools is the main topic of this notebook, other types of data can be similarly investigated using dlisio.\n",
    "\n",
    "This notebook is published under an [MIT license](https://github.com/equinor/dlisio-notebooks/blob/master/LICENSE) and the newest version was developed using `python 3.9.12`. All packages used in this notebook and their versions are listed in `requirements.txt` in the root folder of this repository. Run `pip install -r requirements.txt` if you wish to install all the correct versions. The newest version of this notebook can always be found [on github](https://github.com/equinor/dlisio-notebooks/blob/master/acoustic.ipynb).\n",
    "\n",
    "***Privacy note:*** *This notebook hides well log parameters that contain people's names. This is to avoid their names being tied to the log file by search engines without their explicit consent. Users of the notebook are of course free to uncomment the code lines that hide these names.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import dlisio\n",
    "from dlisio import dlis\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import scipy.signal as signal\n",
    "import logging\n",
    "import copy\n",
    "\n",
    "# Ensure that we can see pandas tables of up to 500 rows\n",
    "pd.set_option('display.max_rows', 500)\n",
    "\n",
    "# Set a default DPI for all figures in this file. Lower DPI gives smaller figures, higher bigger.\n",
    "mpl.rcParams['figure.dpi'] = 100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fetch the file\n",
    "\n",
    "\n",
    "The Volve data is made publically available by Equinor through Azure BlobStore. In the next cell we download the dlis file that we intend to work with in this notebook from that BlobStore. In order to do that, we first need to head over to https://data.equinor.com/dataset/Volve to fetch a sas token (our credentials). After logging in with a Microsoft account and accepting the terms and conditions, scroll to the bottom of the page and copy the sas token from the shared access signature URI. Note that the sas token is only the last part of that URI, i.e. everything _after_ the question mark (excluding the question mark itself). Paste it into the `sas` variable in the cell below and run it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from os import path\n",
    "from azure.storage.blob import BlobClient\n",
    "\n",
    "dst = 'WL_RAW_PROD_AC-AIMG-CCL-GR_2013-06-05_2.DLIS'\n",
    "url = 'https://datavillagesa.blob.core.windows.net/volve/Well_logs_pr_WELL/15_9-F-11 B/11. INTEGRITY LOGS/RAW/WL_RAW_PROD_AC-AIMG-CCL-GR_2013-06-05_2.DLIS'\n",
    "sas = 'PASTE YOUR SAS TOKEN HERE!'\n",
    "\n",
    "if not path.isfile(dst):\n",
    "    client = BlobClient.from_blob_url(url, credential = sas)\n",
    "    stream = client.download_blob()\n",
    "    \n",
    "    with open(dst, \"wb\") as f:    \n",
    "        f.write(stream.readall())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load the file\n",
    "\n",
    "### Set encodings for dlisio\n",
    "\n",
    "By default a `.DLIS`-file should only contain strings that can be decoded with 'utf-8', which is the default encoding in Python. However, a lot of files use different encodings for strings. These need special care. Sadly, there is no way for dlisio to guess which encoding to use, simply because multiple encodings might work but yield different results. However, dlisio can be told to use whatever encoding you believe is used in the file with the [set_encodings](https://dlisio.readthedocs.io/en/latest/common-api.html#dlisio.common.set_encodings) function.\n",
    "\n",
    "For the file that we are investigating in this notebook, we need to use the `latin1` encoding. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "dlisio.common.set_encodings(['latin1'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Logical files\n",
    "\n",
    "Before starting to work with DLIS and dlisio, there are a couple of concepts you should be familiar with. Firstly, a DLIS-file _may_ contain multiple logical files. In short, this means that there might be multiple files within a  `.DLIS` disk file. In practice, logical files are independent of each other and you can regard them as such. The [dlisio documentation](https://dlisio.readthedocs.io/en/latest/dlis/userguide.html) explains the definition of a logical file in more detail. \n",
    "\n",
    "Because of this, the syntax for opening a DLIS file with dlisio can look a bit strange at a first glance. The syntax we use in the cell below extracts the _first_ logical file into `f` and puts the remaining logical files into `f_tail`. dlisio's documentation offers more in-detail [examples](https://dlisio.readthedocs.io/en/latest/dlis/userguide.html) of loading files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = 'WL_RAW_PROD_AC-AIMG-CCL-GR_2013-06-05_2.DLIS'\n",
    "\n",
    "f, *f_tail = dlis.load(filename)\n",
    "\n",
    "if len(f_tail): logging.warning('There are more logical files in tail')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Origins\n",
    "\n",
    "Secondly, within a logical file there are one or more [Origin](https://dlisio.readthedocs.io/en/stable/dlisio.html#origin) objects. These describe the origin of the file, and contain information about which field and well the data is from. The fact that there might be _multiple_ origins opens up the possiblity of the logical file containing information from _multiple_ wells. In that case, the origin must be checked for every piece of information in the logical file to avoid misinterpretation of the information.\n",
    "\n",
    "Luckily the more common case is that a `.DLIS`-file contains _one_ logical file, with _one_ origin. When this is true, we can safely assume that all the information stems from the same well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "origin, *origin_tail = f.origins\n",
    "\n",
    "if len(origin_tail): logging.warning('f contains multiple origins')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Get an overview of the file"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All dlisio objects have a `describe()` function that returns a string containing useful overview information about that object. Describing the file gives an overview of how many frames and channels it contains, and which DLIS sets it contains."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "------------\n",
       "Logical File\n",
       "------------\n",
       "Description : LogicalFile(MaxWell_13Dlis)\n",
       "Frames      : 3\n",
       "Channels    : 310\n",
       "\n",
       "Known objects\n",
       "--\n",
       "PROCESS                 : 15\n",
       "CALIBRATION-MEASUREMENT : 7\n",
       "ORIGIN                  : 1\n",
       "FILE-HEADER             : 1\n",
       "CALIBRATION-COEFFICIENT : 19\n",
       "FRAME                   : 3\n",
       "TOOL                    : 7\n",
       "PARAMETER               : 473\n",
       "EQUIPMENT               : 27\n",
       "CALIBRATION             : 9\n",
       "CHANNEL                 : 310\n",
       "AXIS                    : 2\n",
       "\n",
       "Unknown objects\n",
       "--\n",
       "440-HZVERSIONINFO           : 1\n",
       "440-LIS-INPU                : 307\n",
       "440-CALIBRATION-COEFFICIENT : 19\n",
       "440-OP-TOOL                 : 7\n",
       "440-PASS                    : 1\n",
       "440-FILE                    : 1\n",
       "440-CHANNEL                 : 307\n"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also run `describe()` on the `origin` object for some overall information about the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "------\n",
       "Origin\n",
       "------\n",
       "name   : LAP-87FCBFDC-5AE1-4C07-9822-C5A250FDCFE9\n",
       "origin : 57\n",
       "copy   : 0\n",
       "\n",
       "Logical file ID          : MaxWell_13Dlis\n",
       "File set name and number : USIT / 1056964608\n",
       "File number and type     : 1 / CUSTOMER\n",
       "\n",
       "Field                   : Volve\n",
       "Well (id/name)          : 15/9-F-11 / 15/9-F-11 B\n",
       "Produced by (code/name) : 440 / Schlumberger\n",
       "Produced for            : Statoil\n",
       "Order number            : USIT 9_58\n",
       "Run number              : 1\n",
       "Descent number          : 0\n",
       "Created                 : 2013-06-06 23:22:34.906000\n",
       "\n",
       "Created by              : HZ-OP:Wireline, (version: 3.1.9755.0)\n",
       "Other programs/services : DTC-H:Digital Telemetry Cartridge - Version H\n",
       "                          CAL-YA:Casing Anomaly Locator 3-3/8 in 31 Pin Heads\n",
       "                          DEPTH_DEVICE:Depth Measuring Device\n",
       "                          USIT-E:USIT Ultrasonic Tool\n",
       "                          SGT-N:Scintillation Gamma-Ray Tool\n",
       "                          DSLT-H:Digitizing Sonic Logging Tool - H\n",
       "                          TENSION_DEVICE:Tension Device\n",
       "                          LOGGING_CABLE:Logging Cable\n",
       "                          WAFE:WAFE type\n",
       "                          LEH-QT:Logging Equipment Head - QT, 3-3/8 inch 31 pin\n",
       "                          HPHT with Tension Sensor     ACTS-B:Auxiliary\n",
       "                          Compression Tension Sub - B (Only external acquisition\n",
       "                          supported)\n"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "origin.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To explore the parameters and channels in the file, we create a helper function that iterates through a sequence of dlisio objects and compiles a pandas dataframe from selected object attributes. We will show how the function is used in the next cell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def summarize(objs, **kwargs):\n",
    "    \"\"\"Create a pd.DataFrame that summarize the content of 'objs', One \n",
    "    object pr. row\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    \n",
    "    objs : list()\n",
    "        list of metadata objects\n",
    "        \n",
    "    **kwargs\n",
    "        Keyword arguments \n",
    "        Use kwargs to tell summarize() which fields (attributes) of the \n",
    "        objects you want to include in the DataFrame. The parameter name \n",
    "        must match an attribute on the object in 'objs', while the value \n",
    "        of the parameters is used as a column name. Any kwargs are excepted, \n",
    "        but if the object does not have the requested attribute, 'KeyError' \n",
    "        is used as the value.\n",
    "        \n",
    "    Returns\n",
    "    -------\n",
    "    \n",
    "    summary : pd.DataFrame\n",
    "    \"\"\"\n",
    "    summary = []\n",
    "    for attr, label in kwargs.items():\n",
    "        column = []\n",
    "        for obj in objs:\n",
    "            try:\n",
    "                value = getattr(obj, attr)\n",
    "            except AttributeError:\n",
    "                value = 'KeyError'\n",
    "    \n",
    "            column.append(value)\n",
    "        summary.append(column)\n",
    "\n",
    "    summary = pd.DataFrame(summary).T\n",
    "    summary.columns = kwargs.values()\n",
    "    return summary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Explore parameters\n",
    "\n",
    "DLIS files contain a number of parameters, which dlisio exposes to the user as [Parameter objects](https://dlisio.readthedocs.io/en/stable/dlisio.html#parameter). These describe parameters used in the acquisition and processing of data. The parameter value(s) may be scalars or an array.\n",
    "\n",
    "`f.parameters` gives us a sequence of all the parameters in the DLIS file. We can apply the just-defined `summarize` helper function to compile a pandas table out of these parameters. dlisio Parameter objects have several attributes, but the ones we will compile here are `name`, `long_name`, and `values`. Furthermore, parameters can have units. While dlisio does not yet have a high-level interface for reading parameter units, we can use a lower-level units interface to fill in the units in the pandas table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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></th>\n",
       "      <th>Name</th>\n",
       "      <th>Long name</th>\n",
       "      <th>Value(s)</th>\n",
       "      <th>Units</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>A</td>\n",
       "      <td>Constant A of the Archie Formation Factor - Po...</td>\n",
       "      <td>[1.0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>AC_TRIM</td>\n",
       "      <td>AC Main Cable Trim</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>ohm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>AFVU</td>\n",
       "      <td>Automatic Fluid Velocity Update</td>\n",
       "      <td>[Off]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>AGMN</td>\n",
       "      <td>Minimum Gain of Cartridge</td>\n",
       "      <td>[-12]</td>\n",
       "      <td>dB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>AGMX</td>\n",
       "      <td>Maximum Gain of Cartridge</td>\n",
       "      <td>[40]</td>\n",
       "      <td>dB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>ALT_PDAT</td>\n",
       "      <td>Name of Alternate Permanent Datum (for PDAT = ...</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>AMD</td>\n",
       "      <td>Azimuth of Maximum Deviation</td>\n",
       "      <td>[110.30000305175781]</td>\n",
       "      <td>deg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>AMSG</td>\n",
       "      <td>Auxiliary Minimum Sliding Gate</td>\n",
       "      <td>[180.0]</td>\n",
       "      <td>us</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>APD</td>\n",
       "      <td>Elevation of Depth Reference (LMF) Above Perma...</td>\n",
       "      <td>[54.900001525878906]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>APIN</td>\n",
       "      <td>API Well Number</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>APRE</td>\n",
       "      <td>Atmospheric Pressure</td>\n",
       "      <td>[1013.0]</td>\n",
       "      <td>mbar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>ATEM</td>\n",
       "      <td>Ambient Temperature</td>\n",
       "      <td>[20.0]</td>\n",
       "      <td>degC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>AU_TRIM</td>\n",
       "      <td>AC AUX Cable Trim</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>ohm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>AZ_ENABLE</td>\n",
       "      <td>Z-Axis Acceleration Channel Enabled for Real-T...</td>\n",
       "      <td>[NO]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>AZ_SELECT</td>\n",
       "      <td>Z-Axis Acceleration Channel Selection for Real...</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>BAP</td>\n",
       "      <td>Elevation of the cellar base, for on-shore wells</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>BASI</td>\n",
       "      <td>Name of the sedimentary basin in which the wel...</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>BERJ</td>\n",
       "      <td>Bad Echo Rejection</td>\n",
       "      <td>[ON]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>BG</td>\n",
       "      <td>Gas Formation Volume Factor, Bg</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>BHAL</td>\n",
       "      <td>GRA Borehole Aluminum Weight Percent</td>\n",
       "      <td>[0.0]</td>\n",
       "      <td>kgf/kgf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>BHK</td>\n",
       "      <td>Drilling Fluid Potassium Concentration</td>\n",
       "      <td>[0.0]</td>\n",
       "      <td>%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>BHS</td>\n",
       "      <td>Borehole Status (Open or Cased Hole)</td>\n",
       "      <td>[OPEN]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>BHT</td>\n",
       "      <td>Bottom Hole Temperature</td>\n",
       "      <td>[100.0]</td>\n",
       "      <td>degC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>BHT_RM</td>\n",
       "      <td>Bottom Hole Temperature (RM)</td>\n",
       "      <td>[100.0]</td>\n",
       "      <td>degC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>BILI</td>\n",
       "      <td>Bond Index Level for Zone Isolation</td>\n",
       "      <td>[0.800000011920929]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>BLI</td>\n",
       "      <td>Bottom Log Interval</td>\n",
       "      <td>[3185.0]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>BO</td>\n",
       "      <td>Oil Formation Volume Factor, Bo</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>BPP</td>\n",
       "      <td>Bubble Point Pressure</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>psi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>BPT</td>\n",
       "      <td>Bubble Point Temperature</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>degC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>BS</td>\n",
       "      <td>Bit Size</td>\n",
       "      <td>[12.25]</td>\n",
       "      <td>in</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>BSAL</td>\n",
       "      <td>Borehole Salinity</td>\n",
       "      <td>[0.0]</td>\n",
       "      <td>ppm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>BSAL_RM</td>\n",
       "      <td>Borehole Salinity (NaCl-equivalent concentrati...</td>\n",
       "      <td>[0.0]</td>\n",
       "      <td>ppm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>BSDF</td>\n",
       "      <td>Bit Size Depth From</td>\n",
       "      <td>[2573.0]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>BSDT</td>\n",
       "      <td>Bit Size Depth To</td>\n",
       "      <td>[3205.0]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>BSSO</td>\n",
       "      <td>Source of Borehole Salinity Data</td>\n",
       "      <td>[Measured Resistivity (GEN-9)]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>BW</td>\n",
       "      <td>Water Formation Volume Factor, Bw</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>CADT</td>\n",
       "      <td>Casing Depth To</td>\n",
       "      <td>[3200.0]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>CALI_CABLE_TYP</td>\n",
       "      <td>Calibration Cable Type</td>\n",
       "      <td>[7-46 PXS]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>CALI_DATE</td>\n",
       "      <td>Calibration Date</td>\n",
       "      <td>[28-May-2013]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>461</th>\n",
       "      <td>CALI_DATE</td>\n",
       "      <td>Calibration Date</td>\n",
       "      <td>[04-Jun-2013]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>CALI_SERIALNUM</td>\n",
       "      <td>Calibrator Serial Number</td>\n",
       "      <td>[32]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>463</th>\n",
       "      <td>CALI_SERIALNUM</td>\n",
       "      <td>Calibrator Serial Number</td>\n",
       "      <td>[1115]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>CASG</td>\n",
       "      <td>Casing Grade</td>\n",
       "      <td>[P110]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>CASN</td>\n",
       "      <td>Casing String Number</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>CBDR</td>\n",
       "      <td>Casing Bottom of Driller</td>\n",
       "      <td>[3200.0]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>CBLG</td>\n",
       "      <td>CBL Gate Width</td>\n",
       "      <td>[45.0]</td>\n",
       "      <td>us</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>CBLO</td>\n",
       "      <td>Logger Casing Shoe Depth</td>\n",
       "      <td>[3200.0]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>CBRA</td>\n",
       "      <td>CBL LQC Reference Amplitude in Free Pipe</td>\n",
       "      <td>[53.0]</td>\n",
       "      <td>mV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>CCL_MULTIPLIER</td>\n",
       "      <td>Casing Collar Locator Multiplier</td>\n",
       "      <td>[3.0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>CDEN</td>\n",
       "      <td>Cement Density</td>\n",
       "      <td>[2.0]</td>\n",
       "      <td>g/cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>CDF</td>\n",
       "      <td>Casing Depth From</td>\n",
       "      <td>[600.0]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>CDIA</td>\n",
       "      <td>Casing Outer Diameter</td>\n",
       "      <td>[9.625]</td>\n",
       "      <td>in</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>CDTS</td>\n",
       "      <td>Correction for Delta-T Shale, Empirical</td>\n",
       "      <td>[100.0]</td>\n",
       "      <td>us/ft</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>CGRD</td>\n",
       "      <td>Casing Grade</td>\n",
       "      <td>[P110]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>CLAB</td>\n",
       "      <td>County/Parish Label, used with the COUN parame...</td>\n",
       "      <td>[County:]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>CMCF</td>\n",
       "      <td>CBL Cement Type Compensation Factor</td>\n",
       "      <td>[0.678943395614624]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>CMR_FORM_H2O_SAL</td>\n",
       "      <td>CMR Formation Water Salinity</td>\n",
       "      <td>[0.0]</td>\n",
       "      <td>ppm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>CMTY</td>\n",
       "      <td>Cement Type</td>\n",
       "      <td>[Regular Cement]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>CN</td>\n",
       "      <td>Company Name</td>\n",
       "      <td>[Statoil]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>CN1</td>\n",
       "      <td>Company Name, Line 1</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>CONT</td>\n",
       "      <td>Continent</td>\n",
       "      <td>[Europe]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>CONTYP</td>\n",
       "      <td>Conveyance Type</td>\n",
       "      <td>[Wireline]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>COORDSYS_NAME</td>\n",
       "      <td>Surface coordinate system name</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>COUN</td>\n",
       "      <td>County or Parish</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>CSDE</td>\n",
       "      <td>Casing Density</td>\n",
       "      <td>[0.07961677014827728]</td>\n",
       "      <td>g/cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>CSID</td>\n",
       "      <td>Casing Inner Diameter</td>\n",
       "      <td>[8.54683780670166]</td>\n",
       "      <td>in</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367</th>\n",
       "      <td>CSIZ</td>\n",
       "      <td>Current Casing Size</td>\n",
       "      <td>[9.625]</td>\n",
       "      <td>in</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>CSLH</td>\n",
       "      <td>Flag Indicating Presence of Liner Hanger in Ca...</td>\n",
       "      <td>[No]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>CTOT</td>\n",
       "      <td>Total Compressibility of Rock and Fluid</td>\n",
       "      <td>[0.007251886650919914]</td>\n",
       "      <td>1E-6 1/Pa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>368</th>\n",
       "      <td>CWEI</td>\n",
       "      <td>Casing Weight</td>\n",
       "      <td>[53.499996185302734]</td>\n",
       "      <td>lbm/ft</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>369</th>\n",
       "      <td>CYST</td>\n",
       "      <td>Casing Yield Strength</td>\n",
       "      <td>[110000.0]</td>\n",
       "      <td>psi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>C_ALGO</td>\n",
       "      <td>Collar detection algorithm</td>\n",
       "      <td>[CCLU]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>C_BLANK</td>\n",
       "      <td>Ignore on each side of each collar, inches</td>\n",
       "      <td>[12]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>C_DLEN</td>\n",
       "      <td>Collar detection length, inches</td>\n",
       "      <td>[24]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>C_JNO</td>\n",
       "      <td>Joint number offset</td>\n",
       "      <td>[0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>C_MFILT</td>\n",
       "      <td>Apply 3-point median filter to statistics?</td>\n",
       "      <td>[No]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>C_MPL</td>\n",
       "      <td>Minimum pipe length, inches</td>\n",
       "      <td>[24]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>C_NUP</td>\n",
       "      <td>Number joints from bottom?</td>\n",
       "      <td>[Yes]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>C_TPC</td>\n",
       "      <td>Collar detection threshold percentage</td>\n",
       "      <td>[50]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>C_WIND</td>\n",
       "      <td>Collar detection window length, inches</td>\n",
       "      <td>[600]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>DATE</td>\n",
       "      <td>Tools Above Rotary Table Date</td>\n",
       "      <td>[05-Jun-2013]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>DATF</td>\n",
       "      <td>Date Logged From</td>\n",
       "      <td>[04-Jun-2013]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>DATT</td>\n",
       "      <td>Date Logged To</td>\n",
       "      <td>[05-Jun-2013]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>DCS</td>\n",
       "      <td>Date Circulation Stopped</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>DC_MODE</td>\n",
       "      <td>Depth Correction Mode</td>\n",
       "      <td>[REALTIME]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>DC_RT_ENABLE</td>\n",
       "      <td>Depth Correction Real-Time Enabled</td>\n",
       "      <td>[NO]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>DC_TRIM</td>\n",
       "      <td>DC Main Cable Trim</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>ohm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>DDEL</td>\n",
       "      <td>Digitizing Delay</td>\n",
       "      <td>[0.0]</td>\n",
       "      <td>us</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>DELT_LOCB</td>\n",
       "      <td>Reference Acceptance Criteria for Magnetic Flu...</td>\n",
       "      <td>[300.0]</td>\n",
       "      <td>nT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>DELT_LOCG</td>\n",
       "      <td>Reference Acceptance Criteria for Gravitationa...</td>\n",
       "      <td>[0.024516625329852104]</td>\n",
       "      <td>m/s2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>DELT_MDIP</td>\n",
       "      <td>Reference Acceptance Criteria for Magnetic Dip...</td>\n",
       "      <td>[0.44999998807907104]</td>\n",
       "      <td>deg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>DELT_USER_LOCB</td>\n",
       "      <td>Acceptance Criteria for Magnetic Flux Density</td>\n",
       "      <td>[300.0]</td>\n",
       "      <td>nT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>DELT_USER_LOCG</td>\n",
       "      <td>Acceptance Criteria for Gravitational Field St...</td>\n",
       "      <td>[0.024516625329852104]</td>\n",
       "      <td>m/s2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>DELT_USER_MDIP</td>\n",
       "      <td>Acceptance Criteria for Magnetic Dip Angle</td>\n",
       "      <td>[0.44999998807907104]</td>\n",
       "      <td>deg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>DEPREM1</td>\n",
       "      <td>Depth Remark 1</td>\n",
       "      <td>[Schlumberger depth control procedure is follo...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>DEPREM2</td>\n",
       "      <td>Depth Remark 2</td>\n",
       "      <td>[IDW is used as primary depth control device a...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>DEPREM3</td>\n",
       "      <td>Depth Remark 3</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>DEPREM4</td>\n",
       "      <td>Depth Remark 4</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>DEPREM5</td>\n",
       "      <td>Depth Remark 5</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>DEPREM6</td>\n",
       "      <td>Depth Remark 6</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>DEPTH_SYS_TYPE</td>\n",
       "      <td>Depth System Type</td>\n",
       "      <td>[Schlumberger Depth System]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>DETE</td>\n",
       "      <td>Delta-T Detection</td>\n",
       "      <td>[E1]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>DFD</td>\n",
       "      <td>Drilling Fluid Density</td>\n",
       "      <td>[1.2799999713897705]</td>\n",
       "      <td>g/cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>DFES</td>\n",
       "      <td>Electrical Stability</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>V</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>DFL</td>\n",
       "      <td>Drilling Fluid Loss</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>DFPH</td>\n",
       "      <td>Drilling Fluid pH</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>DFT</td>\n",
       "      <td>Drilling Fluid Type</td>\n",
       "      <td>[OIL]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>DFTS</td>\n",
       "      <td>Drilling Fluid Total Solids</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>DFV</td>\n",
       "      <td>Drilling Fluid Viscosity</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>s</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>DFVL</td>\n",
       "      <td>Default Fluid Velocity</td>\n",
       "      <td>[232.99998474121094]</td>\n",
       "      <td>us/ft</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>DHGS</td>\n",
       "      <td>Drilling Fluid High Gravity Solids</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>DIP_AZIMUTH</td>\n",
       "      <td>Azimuth of a dipping plane in the Earth subsur...</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>deg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>DLAB</td>\n",
       "      <td>Date Logger At Bottom</td>\n",
       "      <td>[05-Jun-2013]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>DMAG_CORR_ON</td>\n",
       "      <td>Enable DMAG Correction</td>\n",
       "      <td>[0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>DMAG_CUTOFF</td>\n",
       "      <td>DMAG Cutoff Depth</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>DMF</td>\n",
       "      <td>Drilling Measured From (Name of Drilling Eleva...</td>\n",
       "      <td>[DF]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>DNI_DATE</td>\n",
       "      <td>Direction and Inclination Inits Calculation Date</td>\n",
       "      <td>[04-Jun-2013]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>DOT</td>\n",
       "      <td>Diameter of Transducer Sensor</td>\n",
       "      <td>[4.874000072479248]</td>\n",
       "      <td>in</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>DOWR</td>\n",
       "      <td>Drilling Fluid Oil/water Ratio</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>DSIN</td>\n",
       "      <td>Digitizer Sample Interval</td>\n",
       "      <td>[10.0]</td>\n",
       "      <td>us</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>DSSN</td>\n",
       "      <td>Depth System Serial Number</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>DTCM</td>\n",
       "      <td>Delta-T Computation Mode</td>\n",
       "      <td>[FULL]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>DTF</td>\n",
       "      <td>Delta-T Fluid</td>\n",
       "      <td>[189.0]</td>\n",
       "      <td>us/ft</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>DTFS</td>\n",
       "      <td>DSLT Telemetry Frame Size</td>\n",
       "      <td>[536]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>DTM</td>\n",
       "      <td>Delta-T Matrix</td>\n",
       "      <td>[56.0]</td>\n",
       "      <td>us/ft</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>DTMD</td>\n",
       "      <td>Borehole Fluid Slowness</td>\n",
       "      <td>[232.99998474121094]</td>\n",
       "      <td>us/ft</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408</th>\n",
       "      <td>DTMUD</td>\n",
       "      <td>Delta-T for Mud</td>\n",
       "      <td>[232.99998474121094]</td>\n",
       "      <td>us/ft</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>403</th>\n",
       "      <td>DTMUD_RM</td>\n",
       "      <td></td>\n",
       "      <td>[232.99998474121094]</td>\n",
       "      <td>us/ft</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>DWCO</td>\n",
       "      <td>Digitizer Word Count</td>\n",
       "      <td>[250]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>EAE</td>\n",
       "      <td>Estimated Azimuth Error</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>deg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>ECF</td>\n",
       "      <td>Elevation of Casing Flange</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>EDF</td>\n",
       "      <td>Elevation of Derrick Floor</td>\n",
       "      <td>[54.900001525878906]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>EDI</td>\n",
       "      <td>Estimated Drillstring Interference</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>nT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>EGL</td>\n",
       "      <td>Elevation of Ground Level</td>\n",
       "      <td>[-91.0]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>EKB</td>\n",
       "      <td>Elevation of Kelly Bushing</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>ELZ</td>\n",
       "      <td>Elevation of Logging Zero Reference</td>\n",
       "      <td>[54.900001525878906]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>EMXV</td>\n",
       "      <td>EMEX Voltage</td>\n",
       "      <td>[90]</td>\n",
       "      <td>V</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[No]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[No]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[Yes]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[Yes]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[Yes]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[Yes]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[No]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[Yes]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[No]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[Yes]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[No]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[Yes]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[No]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>EPD</td>\n",
       "      <td>Elevation of Permanent Datum (PDAT) above Mean...</td>\n",
       "      <td>[0.0]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>EP_DDEQUIP_TYP</td>\n",
       "      <td>Depth measuring device type</td>\n",
       "      <td>[IDW-JA]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>EP_LCEQUIP_TYP</td>\n",
       "      <td>Logging cable type</td>\n",
       "      <td>[7-46P-XS]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>467</th>\n",
       "      <td>EP_TDEQUIP_TYP</td>\n",
       "      <td>Tension device type</td>\n",
       "      <td>[CMTD-B/A]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>ETIP</td>\n",
       "      <td>Elevation of the TIP above MSL</td>\n",
       "      <td>[54.900001525878906]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>FATT</td>\n",
       "      <td>Acoustic Attenuation due to Fluid</td>\n",
       "      <td>[0.0]</td>\n",
       "      <td>dB/m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>FCD</td>\n",
       "      <td>Future Casing (Outer) Diameter</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>in</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>FCF</td>\n",
       "      <td>CBL Fluid Compensation Factor</td>\n",
       "      <td>[1.0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>FD</td>\n",
       "      <td>Fluid Density</td>\n",
       "      <td>[1.0]</td>\n",
       "      <td>g/cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>404</th>\n",
       "      <td>FEXP</td>\n",
       "      <td>Exponent \"m\" for Formation Factor Formula</td>\n",
       "      <td>[2.0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>FFV</td>\n",
       "      <td>Formation Fluid Viscosity</td>\n",
       "      <td>[0.5]</td>\n",
       "      <td>mPa.s</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>FL</td>\n",
       "      <td>Field Location</td>\n",
       "      <td>[North Sea]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>FL1</td>\n",
       "      <td>Field Location, Line 1</td>\n",
       "      <td>[Norwegian Sector]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>FL2</td>\n",
       "      <td>Field Location, Line 2</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>FLDE</td>\n",
       "      <td>Fluid Density (kg/m3)</td>\n",
       "      <td>[1.2799999713897705]</td>\n",
       "      <td>g/cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>FLEV</td>\n",
       "      <td>Depth of Drilling Fluid Level to LMF (Log Meas...</td>\n",
       "      <td>[2.4384000301361084]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>FN</td>\n",
       "      <td>Field Name</td>\n",
       "      <td>[Volve]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>FNUM</td>\n",
       "      <td>F-Numerator for Formation Factor Formula</td>\n",
       "      <td>[1.0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>FPHI</td>\n",
       "      <td>Source of Porosity for Formation Factor Formula</td>\n",
       "      <td>[PHI]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>FSAL</td>\n",
       "      <td>Formation Salinity</td>\n",
       "      <td>[0.0]</td>\n",
       "      <td>ppm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>FVEL</td>\n",
       "      <td>Fluid Interval Transit Time</td>\n",
       "      <td>[232.99998474121094]</td>\n",
       "      <td>us/ft</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>GCSE</td>\n",
       "      <td>Generalized Caliper Selection</td>\n",
       "      <td>[BS]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>GDD</td>\n",
       "      <td>Gas Downhole Density</td>\n",
       "      <td>[0.10000000149011612]</td>\n",
       "      <td>g/cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>GDD_SPRI</td>\n",
       "      <td>Gas Downhole Density</td>\n",
       "      <td>[0.10000000149011612]</td>\n",
       "      <td>g/cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>GDEV</td>\n",
       "      <td>Average Angular Deviation of Borehole from Ver...</td>\n",
       "      <td>[0.0]</td>\n",
       "      <td>deg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>GEOMAG_MODEL</td>\n",
       "      <td>Geomag Model that used for FAC calculation</td>\n",
       "      <td>[BGGM]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>GGRA</td>\n",
       "      <td>Gas Gravity</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>g/cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>GGRD</td>\n",
       "      <td>Geothermal Gradient</td>\n",
       "      <td>[18.22688865661621]</td>\n",
       "      <td>degC/km</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>GMLD</td>\n",
       "      <td>Magnetic Dip Angle</td>\n",
       "      <td>[71.67223358154297]</td>\n",
       "      <td>deg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>GMLG</td>\n",
       "      <td>Gravitational Field Strength</td>\n",
       "      <td>[9.81800651550293]</td>\n",
       "      <td>m/s2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>GMLH</td>\n",
       "      <td>Magnetic Flux Density</td>\n",
       "      <td>[50490.58203125]</td>\n",
       "      <td>nT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>GOBO</td>\n",
       "      <td>Good Bond</td>\n",
       "      <td>[6.259347438812256]</td>\n",
       "      <td>mV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>GOR</td>\n",
       "      <td>Gas Oil Ratio</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>m3/m3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401</th>\n",
       "      <td>GOR_SPRI</td>\n",
       "      <td>Gas Oil Ratio</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>m3/m3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>GPIT_CABLE_CONFIDENCE_FACTOR</td>\n",
       "      <td>Confidence factor on cable depth used in GPIT ...</td>\n",
       "      <td>[3.0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>GPIT_RECOVERY_SPEED</td>\n",
       "      <td>Ratio (average speed after sticking) / (averag...</td>\n",
       "      <td>[3.0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>GPIT_STICKING_DETECTION_THRESHOLD</td>\n",
       "      <td>Sticking detection threshold used in GPIT spee...</td>\n",
       "      <td>[0.019999999552965164]</td>\n",
       "      <td>m/s2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>GRAD</td>\n",
       "      <td>Real-Time Formation Temp Gradient</td>\n",
       "      <td>[18.22688865661621]</td>\n",
       "      <td>degC/km</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>GRDC</td>\n",
       "      <td>RST Grid Current Set Point</td>\n",
       "      <td>[0.0]</td>\n",
       "      <td>deg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>GRSE</td>\n",
       "      <td>Generalized Mud Resistivity Selection</td>\n",
       "      <td>[GEN9]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>GR_MULTIPLIER</td>\n",
       "      <td>Gamma Ray Multiplier</td>\n",
       "      <td>[1.0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>GTSE</td>\n",
       "      <td>Generalized Temperature Selection</td>\n",
       "      <td>[TEMP]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>GVIS</td>\n",
       "      <td>Gas Viscosity</td>\n",
       "      <td>[0.019999999552965164]</td>\n",
       "      <td>mPa.s</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>HDAT</td>\n",
       "      <td>Coordinate system adopted</td>\n",
       "      <td>[SAD69]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>HID1</td>\n",
       "      <td>Header Identifier 1</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>HID2</td>\n",
       "      <td>Header Identifier 2</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>HIDE</td>\n",
       "      <td>Header Identifier</td>\n",
       "      <td>[Volve]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>HIFF</td>\n",
       "      <td>Hydrogen Index of Formation Fluid</td>\n",
       "      <td>[1.0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>HILT_GAS_DENSITY</td>\n",
       "      <td>HILT Gas Downhole Density</td>\n",
       "      <td>[0.10000000149011612]</td>\n",
       "      <td>g/cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>HRES</td>\n",
       "      <td>Horizontal Resolution</td>\n",
       "      <td>[5 deg]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>HTEN_CALI</td>\n",
       "      <td>Head Tension Calibration Method</td>\n",
       "      <td>[Calibration]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>HTEN_CALI</td>\n",
       "      <td>Head Tension Calibration Method</td>\n",
       "      <td>[Calibration]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>HTEN_MULTIPL</td>\n",
       "      <td>Head Tension Multiplier or Manual Gain</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>HTEN_MULTIPL</td>\n",
       "      <td>Head Tension Multiplier or Manual Gain</td>\n",
       "      <td>[1.0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>HTEN_PM_REF</td>\n",
       "      <td>Head Tension Plus Reference</td>\n",
       "      <td>[1014.0399169921875]</td>\n",
       "      <td>lbf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>HTEN_SHIFT</td>\n",
       "      <td>Head Tension Shift or Manual Offset</td>\n",
       "      <td>[0.0]</td>\n",
       "      <td>lbf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>HTEN_SHIFT</td>\n",
       "      <td>Head Tension Shift or Manual Offset</td>\n",
       "      <td>[0.0]</td>\n",
       "      <td>lbf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>HTEN_ZM_REF</td>\n",
       "      <td>Head Tension Zero Reference</td>\n",
       "      <td>[0.0]</td>\n",
       "      <td>lbf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>HVCS</td>\n",
       "      <td>Integrated Hole Volume Caliper Selection</td>\n",
       "      <td>[BS]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>IBG</td>\n",
       "      <td>1/Gas Formation Volume Factor, 1/Bg</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>IHVC</td>\n",
       "      <td>Integrated Hole Volume Control</td>\n",
       "      <td>[START]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409</th>\n",
       "      <td>IHVS</td>\n",
       "      <td>Integrated Hole Volume Start Value</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>m3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>ISSBAR</td>\n",
       "      <td>Barite Mud Switch</td>\n",
       "      <td>[NOBARITE]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>ITTS</td>\n",
       "      <td>Integrated Transit Time Source</td>\n",
       "      <td>[DT]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>JOBID</td>\n",
       "      <td>Job Identification</td>\n",
       "      <td>[USIT 9_58]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>KPER</td>\n",
       "      <td></td>\n",
       "      <td>[0.0]</td>\n",
       "      <td>%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>LATD</td>\n",
       "      <td>Latitude (N=+ S=-)</td>\n",
       "      <td>[58.441654205322266]</td>\n",
       "      <td>deg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>LATI</td>\n",
       "      <td>Latitude</td>\n",
       "      <td>[58° 26' 29.96\" N]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>LCC</td>\n",
       "      <td>Logging Company Code (API DLIS Company Code)</td>\n",
       "      <td>[440]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>LCC1</td>\n",
       "      <td>Logging Company Name</td>\n",
       "      <td>[Schlumberger]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>LCL</td>\n",
       "      <td>Logging Cable Length</td>\n",
       "      <td>[7315.2001953125]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>LCSN</td>\n",
       "      <td>Logging Cable Serial Number</td>\n",
       "      <td>[F711165]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>LLAB</td>\n",
       "      <td>Section/Latitude Label, used with the SECT or ...</td>\n",
       "      <td>[Section]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>LMF</td>\n",
       "      <td>Logging Measured From (Name of Logging Elevati...</td>\n",
       "      <td>[DF]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>LNAM</td>\n",
       "      <td>Identification mnemonic for the logging operation</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389</th>\n",
       "      <td>LOC1</td>\n",
       "      <td>Location - 1 Text</td>\n",
       "      <td>[North Sea]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>LOCG</td>\n",
       "      <td>Gravitational Field Strength</td>\n",
       "      <td>[9.81800651550293]</td>\n",
       "      <td>m/s2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>LOGSEQ</td>\n",
       "      <td>Log Sequence</td>\n",
       "      <td>[Subsequent trip]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>LOGTYP</td>\n",
       "      <td>Type of log</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>LOND</td>\n",
       "      <td>Longitude</td>\n",
       "      <td>[1.887463927268982]</td>\n",
       "      <td>deg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>LONG</td>\n",
       "      <td>Longitude</td>\n",
       "      <td>[1° 53' 14.87\" E]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>LSRV</td>\n",
       "      <td>Type of service</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>LUL</td>\n",
       "      <td>Logging Unit Location</td>\n",
       "      <td>[NOBO]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>LUN</td>\n",
       "      <td>Logging Unit Number</td>\n",
       "      <td>[ONCC A 3815]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>M</td>\n",
       "      <td>Exponent M of the Archie Formation Factor - Po...</td>\n",
       "      <td>[2.0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>MAHTR</td>\n",
       "      <td>Manual High Threshold Reference for first arri...</td>\n",
       "      <td>[120]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>MANL_GRID_CONV</td>\n",
       "      <td>Flag for manually entering the grid convergenc...</td>\n",
       "      <td>[0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>439</th>\n",
       "      <td>MATR</td>\n",
       "      <td>Rock Matrix for Neutron Porosity Corrections</td>\n",
       "      <td>[LIME]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>MATT</td>\n",
       "      <td>Maximum Attenuation</td>\n",
       "      <td>[23.392528533935547]</td>\n",
       "      <td>dB/m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>MAX_LOG_SPEED</td>\n",
       "      <td>Toolstring Maximum Logging Speed</td>\n",
       "      <td>[1097.280029296875]</td>\n",
       "      <td>m/h</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>MAX_TOOL_SPEED</td>\n",
       "      <td>Maximum service speed allowed for, or attained...</td>\n",
       "      <td>[2057.39990234375]</td>\n",
       "      <td>m/h</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>MAX_TOOL_SPEED</td>\n",
       "      <td>Maximum service speed allowed for, or attained...</td>\n",
       "      <td>[1097.280029296875]</td>\n",
       "      <td>m/h</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>MAX_TOOL_SPEED</td>\n",
       "      <td>Maximum service speed allowed for, or attained...</td>\n",
       "      <td>[1371.5999755859375]</td>\n",
       "      <td>m/h</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>MCI</td>\n",
       "      <td>Minimum Cemented Interval for Isolation</td>\n",
       "      <td>[4.515231132507324]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>MCSS</td>\n",
       "      <td>Mudcake Sample Source</td>\n",
       "      <td>[Pressed]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>MCST</td>\n",
       "      <td>Mudcake Sample Temperature</td>\n",
       "      <td>[20.0]</td>\n",
       "      <td>degC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MDEC</td>\n",
       "      <td>Magnetic Field Declination</td>\n",
       "      <td>[-1.1452460289001465]</td>\n",
       "      <td>deg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MDEC</td>\n",
       "      <td>Magnetic Field Declination</td>\n",
       "      <td>[-1.1452460289001465]</td>\n",
       "      <td>deg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>MDEN</td>\n",
       "      <td>Matrix Density for Density Porosity</td>\n",
       "      <td>[2.7100000381469727]</td>\n",
       "      <td>g/cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>MFIN</td>\n",
       "      <td>Magnetic Field Intensity</td>\n",
       "      <td>[0.5049058198928833]</td>\n",
       "      <td>Oe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>MFSS</td>\n",
       "      <td>Mud Filtrate Sample Source</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>MFST</td>\n",
       "      <td>Mud Filtrate Sample Temperature</td>\n",
       "      <td>[20.0]</td>\n",
       "      <td>degC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>MHD</td>\n",
       "      <td>Maximum Hole Deviation</td>\n",
       "      <td>[64.4000015258789]</td>\n",
       "      <td>deg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>MINC</td>\n",
       "      <td>Magnetic Field Inclination</td>\n",
       "      <td>[71.67223358154297]</td>\n",
       "      <td>deg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>MNHTR</td>\n",
       "      <td>Minimum High Threshold Reference for first arr...</td>\n",
       "      <td>[100]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>MODE</td>\n",
       "      <td>Sonic Firing Mode (e.g. DDBHC = Depth-Derived ...</td>\n",
       "      <td>[CBL]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>MRES</td>\n",
       "      <td>Mud Resistivity</td>\n",
       "      <td>[500.0]</td>\n",
       "      <td>ohm.m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>MRT</td>\n",
       "      <td>Maximum Recorded Temperature</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>degC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>MRT1</td>\n",
       "      <td>Maximum Recorded Temperature 1</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>degC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>MRT2</td>\n",
       "      <td>Maximum Recorded Temperature 2</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>degC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>MRT3</td>\n",
       "      <td>Maximum Recorded Temperature 3</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>degC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>MSA</td>\n",
       "      <td>Minimum Sonic Amplitude</td>\n",
       "      <td>[3.669377088546753]</td>\n",
       "      <td>mV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>MSS</td>\n",
       "      <td>Mud Sample Source</td>\n",
       "      <td>[Active Tank]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>MST</td>\n",
       "      <td>Mud Sample Temperature</td>\n",
       "      <td>[20.0]</td>\n",
       "      <td>degC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>MST_RM</td>\n",
       "      <td>Mud Sample Temperature (RM)</td>\n",
       "      <td>[20.0]</td>\n",
       "      <td>degC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>MVIS</td>\n",
       "      <td>Mud Filtrate Viscosity</td>\n",
       "      <td>[1.0]</td>\n",
       "      <td>s</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>MW</td>\n",
       "      <td>Mud Weight</td>\n",
       "      <td>[1.2799999713897705]</td>\n",
       "      <td>g/cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>MW_RM</td>\n",
       "      <td>Mud Weight (RM)</td>\n",
       "      <td>[1.2799999713897705]</td>\n",
       "      <td>g/cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>N</td>\n",
       "      <td>N Exponent in SW Formula</td>\n",
       "      <td>[2.0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>NATI</td>\n",
       "      <td>Nation</td>\n",
       "      <td>[Norway]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>NMSG</td>\n",
       "      <td>Near Minimum Sliding Gate</td>\n",
       "      <td>[344]</td>\n",
       "      <td>us</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>NMXG</td>\n",
       "      <td>Near Maximum Sliding Gate</td>\n",
       "      <td>[1026]</td>\n",
       "      <td>us</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>NORTH_REF</td>\n",
       "      <td>North Reference</td>\n",
       "      <td>[0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>NPPW</td>\n",
       "      <td>Number of Points Per Waveform</td>\n",
       "      <td>[120]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>NUMP</td>\n",
       "      <td>Number of Detection Passes</td>\n",
       "      <td>[2]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>NWPD</td>\n",
       "      <td>Number of Waveforms per Depth</td>\n",
       "      <td>[72]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441</th>\n",
       "      <td>OBM</td>\n",
       "      <td>Oil Based Mud Flag</td>\n",
       "      <td>[YES]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>ODD</td>\n",
       "      <td>Oil Downhole Density</td>\n",
       "      <td>[0.800000011920929]</td>\n",
       "      <td>g/cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>ODD_SPRI</td>\n",
       "      <td>Oil Downhole Density</td>\n",
       "      <td>[0.800000011920929]</td>\n",
       "      <td>g/cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>ODEN</td>\n",
       "      <td>Oil Density</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>g/cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>OFFSHORE_BLOCK_NUMBER</td>\n",
       "      <td>Identification of the Offshore block where the...</td>\n",
       "      <td>[15/9]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>OGRA</td>\n",
       "      <td>Surface Oil Gravity</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>dAPI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>OGRA_SPRI</td>\n",
       "      <td>Gravity of Oil</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>dAPI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>402</th>\n",
       "      <td>OMR</td>\n",
       "      <td>Origin of Mud Resistivity</td>\n",
       "      <td>[Active Tank]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>OMRX</td>\n",
       "      <td>Origin of Mud Resistivity [CONS(def), AMS, DEP...</td>\n",
       "      <td>[Active Tank]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>OPER</td>\n",
       "      <td>Operator Code (API DLIS Company Code)</td>\n",
       "      <td>[]</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>OPLEV</td>\n",
       "      <td>USIT Remove Flagged Data Level</td>\n",
       "      <td>[OPT2]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>OS1</td>\n",
       "      <td>Other Services Line 1</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>OS2</td>\n",
       "      <td>Other Services Line 2</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>OS3</td>\n",
       "      <td>Other Services Line 3</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>OS4</td>\n",
       "      <td>Other Services Line 4</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>OS5</td>\n",
       "      <td>Other Services Line 5</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>OVERIDE_LOCB</td>\n",
       "      <td>Override Magnetic Flux Density</td>\n",
       "      <td>[0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>OVERIDE_LOCG</td>\n",
       "      <td>Override Gravitational Field Strength</td>\n",
       "      <td>[0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>OVERIDE_MAGDEC</td>\n",
       "      <td>Override Magnetic Declination Angle</td>\n",
       "      <td>[0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>OVERIDE_MAGDIP</td>\n",
       "      <td>Override Magnetic Dip Angle</td>\n",
       "      <td>[0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>OVIS</td>\n",
       "      <td>Oil Viscosity</td>\n",
       "      <td>[1.0]</td>\n",
       "      <td>mPa.s</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>PCIDDRL</td>\n",
       "      <td>Packer Inner Diameter - Zoned along driller de...</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>in</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>PCODDRL</td>\n",
       "      <td>Packer Outer Diameter - Zoned along driller de...</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>in</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>PDAT</td>\n",
       "      <td>Permanent Datum</td>\n",
       "      <td>[MSL]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>PHI</td>\n",
       "      <td>Porosity</td>\n",
       "      <td>[0.20000000298023224]</td>\n",
       "      <td>m3/m3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>PLODDRL</td>\n",
       "      <td>Plug Outer Diameter - Zoned along driller depths</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>in</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>PMUD</td>\n",
       "      <td>Potassium Concentration in Mud</td>\n",
       "      <td>[0.0]</td>\n",
       "      <td>%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>PROD_MOD_TRC</td>\n",
       "      <td>Software product may do modifications to the d...</td>\n",
       "      <td>[&lt;ProductModificationTrace Version=\"0.1\"&gt;&lt;Oper...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>PVER</td>\n",
       "      <td>Program Version</td>\n",
       "      <td>[20C0-999]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>R1</td>\n",
       "      <td>Remarks Line 1</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>R10</td>\n",
       "      <td>Remarks Line 10</td>\n",
       "      <td>[Log objectives: To verify good cement behind ...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>R11</td>\n",
       "      <td>Remarks Line 11</td>\n",
       "      <td>[USIT Resolution for both main and repeat pass...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>R12</td>\n",
       "      <td>Remarks Line 12</td>\n",
       "      <td>[Tool ran as per toolsketch centralized with 5...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>R13</td>\n",
       "      <td>Remarks Line 13</td>\n",
       "      <td>[CBL firing was 15 Hz. Free pipe normalization...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>R14</td>\n",
       "      <td>Remarks Line 14</td>\n",
       "      <td>[Theoretical Z mud was used with  K factor: 0....</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>R15</td>\n",
       "      <td>Remarks Line 15</td>\n",
       "      <td>[Well is filled with OBM Environmul 1.28 SG. W...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>R16</td>\n",
       "      <td>Remarks Line 16</td>\n",
       "      <td>[The images have been rotated such that the ce...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>R17</td>\n",
       "      <td>Remarks Line 17</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>R2</td>\n",
       "      <td>Remarks Line 2</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>R3</td>\n",
       "      <td>Remarks Line 3</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>R4</td>\n",
       "      <td>Remarks Line 4</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>R5</td>\n",
       "      <td>Remarks Line 5</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>R6</td>\n",
       "      <td>Remarks Line 6</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>R7</td>\n",
       "      <td>Remarks Line 7</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>R9</td>\n",
       "      <td>Remarks Line 9</td>\n",
       "      <td>[Correlated main pass at pup joint at 3154.53 ...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>RANG</td>\n",
       "      <td>Range</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>RATE</td>\n",
       "      <td>Firing Rate</td>\n",
       "      <td>[R15]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>RCOD</td>\n",
       "      <td>Reference Calibrator Outer Diameter</td>\n",
       "      <td>[7.0]</td>\n",
       "      <td>in</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>RCSO</td>\n",
       "      <td>Reference Calibrator Standoff</td>\n",
       "      <td>[1.3779499530792236]</td>\n",
       "      <td>in</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>RCTH</td>\n",
       "      <td>Reference Calibrator Thickness</td>\n",
       "      <td>[0.295199990272522]</td>\n",
       "      <td>in</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>REQPERFOINTRVL</td>\n",
       "      <td>Requested Perforation Intervals</td>\n",
       "      <td>[[[-999.25]]]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>REQSMPLDEPTH</td>\n",
       "      <td>Requested Sample Depths</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>REQSMPLREMARK</td>\n",
       "      <td>Requested Sample Remarks</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>RHOF</td>\n",
       "      <td>Density of the Formation Fluid</td>\n",
       "      <td>[1.0]</td>\n",
       "      <td>g/cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>RIGN</td>\n",
       "      <td>Rig Name</td>\n",
       "      <td>[Maersk Inspirer]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>RIGTYP</td>\n",
       "      <td>Rig Type</td>\n",
       "      <td>[Jack Up rig]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>RLAB</td>\n",
       "      <td>Range/Blank Label, used with the RANG paramete...</td>\n",
       "      <td>[Range]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>RLDT</td>\n",
       "      <td>Reference Log Date (dd-MMM-yyyy)</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>RLNM</td>\n",
       "      <td>Reference Log Name</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>RLRN</td>\n",
       "      <td>Reference Log Run Number</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>RMB</td>\n",
       "      <td>Resistivity of Mud at Bottom Hole Temperature</td>\n",
       "      <td>[170.88723754882812]</td>\n",
       "      <td>ohm.m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>RMCS</td>\n",
       "      <td>Resistivity of Mud Cake Sample</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>ohm.m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>RMFB</td>\n",
       "      <td>Resistivity of Mud Filtrate At Bottom Hole Tem...</td>\n",
       "      <td>[128.16542053222656]</td>\n",
       "      <td>ohm.m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>RMFS</td>\n",
       "      <td>Resistivity of Mud Filtrate Sample</td>\n",
       "      <td>[375.0]</td>\n",
       "      <td>ohm.m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>RMS</td>\n",
       "      <td>Resistivity of Mud Sample</td>\n",
       "      <td>[500.0]</td>\n",
       "      <td>ohm.m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>RMS_RM</td>\n",
       "      <td>Resistivity of Mud Sample (RM)</td>\n",
       "      <td>[500.0]</td>\n",
       "      <td>ohm.m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>RMUD</td>\n",
       "      <td>Resistivity of Mud Sample</td>\n",
       "      <td>[500.0]</td>\n",
       "      <td>ohm.m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>RMUX</td>\n",
       "      <td>Resistivity of Mud Sample (SRTX)</td>\n",
       "      <td>[500.0]</td>\n",
       "      <td>ohm.m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>ROMFS</td>\n",
       "      <td>Density of Mud Filtrate Sample</td>\n",
       "      <td>[1.0]</td>\n",
       "      <td>g/cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>RR10</td>\n",
       "      <td>Run Remark Line 10</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>RR2</td>\n",
       "      <td>Run Remark Line 2</td>\n",
       "      <td>[Correlated main pass at pup joint at 3154.53 ...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>RR3</td>\n",
       "      <td>Run Remark Line 3</td>\n",
       "      <td>[Log objectives: To verify good cement behind ...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>374</th>\n",
       "      <td>RR4</td>\n",
       "      <td>Run Remark Line 4</td>\n",
       "      <td>[USIT Resolution for both main and repeat pass...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>373</th>\n",
       "      <td>RR5</td>\n",
       "      <td>Run Remark Line 5</td>\n",
       "      <td>[Tool ran as per toolsketch centralized with 5...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>RR6</td>\n",
       "      <td>Run Remark Line 6</td>\n",
       "      <td>[CBL firing was 15 Hz. Free pipe normalization...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>RR7</td>\n",
       "      <td>Run Remark Line 7</td>\n",
       "      <td>[Theoretical Z mud was used with  K factor: 0....</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>RR8</td>\n",
       "      <td>Run Remark Line 8</td>\n",
       "      <td>[Well is filled with OBM Environmul 1.28 SG. W...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>RR9</td>\n",
       "      <td>Run Remark Line 9</td>\n",
       "      <td>[The images have been rotated such that the ce...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>RTST</td>\n",
       "      <td>Real-Time Surface Temperature</td>\n",
       "      <td>[20.0]</td>\n",
       "      <td>degC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427</th>\n",
       "      <td>RT_BSAL</td>\n",
       "      <td>Real-Time Mud Salinity</td>\n",
       "      <td>[0.0]</td>\n",
       "      <td>ppm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>RULB</td>\n",
       "      <td>Rig Up Length at Bottom</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>RULS</td>\n",
       "      <td>Rig Up Length at Surface</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>RUN</td>\n",
       "      <td>Run Number</td>\n",
       "      <td>[1]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>RUPI</td>\n",
       "      <td>Pipe Rugosity</td>\n",
       "      <td>[0.00014986000314820558]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>RW</td>\n",
       "      <td>Connate Water Resistivity</td>\n",
       "      <td>[1.0]</td>\n",
       "      <td>ohm.m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>RWF</td>\n",
       "      <td>Free Water Resistivity</td>\n",
       "      <td>[1.0]</td>\n",
       "      <td>ohm.m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>RWS</td>\n",
       "      <td>Water Sample Resistivity</td>\n",
       "      <td>[1.0]</td>\n",
       "      <td>ohm.m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>SAG_CORR_ON</td>\n",
       "      <td>Enable Sag Correction</td>\n",
       "      <td>[0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>SCORR</td>\n",
       "      <td>Cable Stretch Correction</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>SDNV</td>\n",
       "      <td>Number of Vertical Samples used for Micro-debo...</td>\n",
       "      <td>[5]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>SDTH</td>\n",
       "      <td>Switch Down Threshold</td>\n",
       "      <td>[20000]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>SDTHOR</td>\n",
       "      <td>Acoustic Impedance STD Horizontal Threshold fo...</td>\n",
       "      <td>[0.5]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>SDTVER</td>\n",
       "      <td>Acoustic Impedance STD Vertical Threshold for ...</td>\n",
       "      <td>[0.30000001192092896]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>SEABDEPTH</td>\n",
       "      <td>Water Depth</td>\n",
       "      <td>[91.0]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>SECT</td>\n",
       "      <td>Section</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>SEXP_HILT</td>\n",
       "      <td>HILT Saturation Exponent</td>\n",
       "      <td>[2.0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>SFAF</td>\n",
       "      <td>Sonic Formation Attenuation Factor</td>\n",
       "      <td>[10.662729263305664]</td>\n",
       "      <td>dB/m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>SFTY</td>\n",
       "      <td>Slowness Formation Type (Fast, Intermediate, S...</td>\n",
       "      <td>[Intermediate]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>SGAD</td>\n",
       "      <td>Sliding Gate Status</td>\n",
       "      <td>[OFF]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>SGAI</td>\n",
       "      <td>Selectable Acquisition Gain</td>\n",
       "      <td>[1X]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>SGCL</td>\n",
       "      <td>Sliding Gate Closing Delta-T</td>\n",
       "      <td>[130]</td>\n",
       "      <td>us/ft</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>SGCW</td>\n",
       "      <td>Sliding Gate Closing Width</td>\n",
       "      <td>[25]</td>\n",
       "      <td>us</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>SGDT</td>\n",
       "      <td>Sliding Gate Delta-T</td>\n",
       "      <td>[57]</td>\n",
       "      <td>us/ft</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>SGOR</td>\n",
       "      <td>Solution Gas Oil Ratio</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>m3/m3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>SGW</td>\n",
       "      <td>Sliding Gate Width</td>\n",
       "      <td>[110]</td>\n",
       "      <td>us</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>SHT</td>\n",
       "      <td>Surface Hole Temperature</td>\n",
       "      <td>[20.0]</td>\n",
       "      <td>degC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>SHT_RM</td>\n",
       "      <td>Surface Hole Temperature (RM)</td>\n",
       "      <td>[20.0]</td>\n",
       "      <td>degC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>SLAB</td>\n",
       "      <td>State/Province Label, used with the STAT param...</td>\n",
       "      <td>[State:]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>SLEV</td>\n",
       "      <td>Signal Level for AGC</td>\n",
       "      <td>[5000.0]</td>\n",
       "      <td>mV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>SOGR</td>\n",
       "      <td>Standoff Distance of the Gamma Ray Tool</td>\n",
       "      <td>[0.0]</td>\n",
       "      <td>in</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>SON</td>\n",
       "      <td>Service Order Number</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SPF</td>\n",
       "      <td>Shots per Foot</td>\n",
       "      <td>[]</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>SPFS</td>\n",
       "      <td>Sonic Porosity Formula</td>\n",
       "      <td>[R_H]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>SPSO</td>\n",
       "      <td>Sonic Porosity Source</td>\n",
       "      <td>[DT]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>SPUD_DATE</td>\n",
       "      <td>Start date when the well drilling began</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>STAT</td>\n",
       "      <td>State or Province</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>STDLC</td>\n",
       "      <td>Subsequent Trip Down Log Correction</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>STEM</td>\n",
       "      <td>Surface Temperature</td>\n",
       "      <td>[20.0]</td>\n",
       "      <td>degC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>SUBT</td>\n",
       "      <td>USIT Sub type</td>\n",
       "      <td>[10INC]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>SUTH</td>\n",
       "      <td>Switch Up Threshold</td>\n",
       "      <td>[1000]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>TBGD</td>\n",
       "      <td>Tubing Depth</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>TCS</td>\n",
       "      <td>Time Circulation Stopped</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>TCUB</td>\n",
       "      <td>T^3 Processing Level</td>\n",
       "      <td>[VXLP]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>TD</td>\n",
       "      <td>Total Measured Depth</td>\n",
       "      <td>[3185.0]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>TDD</td>\n",
       "      <td>Driller Total Depth</td>\n",
       "      <td>[3205.0]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>371</th>\n",
       "      <td>TDL</td>\n",
       "      <td>Logger Total Depth</td>\n",
       "      <td>[3205.0]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>TD_CALI_GAIN</td>\n",
       "      <td>Calibration coefficient gain used for Tension ...</td>\n",
       "      <td>[0.8960000276565552]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>TD_CALI_OFFSET</td>\n",
       "      <td>Calibration coefficient offset used for Tensio...</td>\n",
       "      <td>[-104.0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>TD_CALI_PEAK_ERR</td>\n",
       "      <td>Calibration Peak Error Used for Tension Device</td>\n",
       "      <td>[72.0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>TD_CALI_PTS</td>\n",
       "      <td>Calibration Points Used for Tension Device</td>\n",
       "      <td>[10]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>TD_CALI_RMS</td>\n",
       "      <td>Calibration Root Mean Square Error Used for Te...</td>\n",
       "      <td>[32.0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>406</th>\n",
       "      <td>TD_RM</td>\n",
       "      <td>Total Depth (RM)</td>\n",
       "      <td>[3185.0]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>TD_TOLERANCE_LEVEL</td>\n",
       "      <td>Tests and Diagnostics Tasks Tolerance Level</td>\n",
       "      <td>[Shop]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>TET_SHOT_VT</td>\n",
       "      <td>Fluid velocity</td>\n",
       "      <td>[189.0]</td>\n",
       "      <td>us/ft</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>THDH</td>\n",
       "      <td>Maximum Search Thickness (percentage of nominal)</td>\n",
       "      <td>[130.0]</td>\n",
       "      <td>%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>THDL</td>\n",
       "      <td>Minimum Search Thickness (percentage of nominal)</td>\n",
       "      <td>[70.0]</td>\n",
       "      <td>%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>THDP</td>\n",
       "      <td>Thickness Detection Policy</td>\n",
       "      <td>[Fundamental]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>THNO</td>\n",
       "      <td>Nominal Thickness of Casing</td>\n",
       "      <td>[0.539080798625946]</td>\n",
       "      <td>in</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>TLAB</td>\n",
       "      <td>Time Logger At Bottom</td>\n",
       "      <td>[11:32:15]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>TLI</td>\n",
       "      <td>Top Log Interval</td>\n",
       "      <td>[2500.0]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>TLLAB</td>\n",
       "      <td>Township or Longitude Label for Log Heading, u...</td>\n",
       "      <td>[Township]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>TMUC</td>\n",
       "      <td>Type of Mud</td>\n",
       "      <td>[OBM]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>TNDSN</td>\n",
       "      <td>Tension Device Serial Number</td>\n",
       "      <td>[1412]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>TOOLS</td>\n",
       "      <td>Tool or tool string</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445</th>\n",
       "      <td>TOOL_MAP_1</td>\n",
       "      <td>Tool Object Map</td>\n",
       "      <td>[&lt;ToolMaps&gt;&lt;ToolMap&gt;&lt;HN&gt;DTC-H&lt;/HN&gt;&lt;MN&gt;DTC-H&lt;/M...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>446</th>\n",
       "      <td>TOOL_MAP_2</td>\n",
       "      <td>Tool Object Map</td>\n",
       "      <td>[olMap&gt;&lt;ToolMap&gt;&lt;HN&gt;USIT-E&lt;/HN&gt;&lt;MN&gt;USIT&lt;/MN&gt;&lt;I...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>447</th>\n",
       "      <td>TOOL_MAP_3</td>\n",
       "      <td>Tool Object Map</td>\n",
       "      <td>[N&gt;TENSION_DEVICE&lt;/HN&gt;&lt;MN&gt;NONE&lt;/MN&gt;&lt;InsNo&gt;0&lt;/I...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>TOOL_MAP_4</td>\n",
       "      <td>Tool Object Map</td>\n",
       "      <td>[lMap&gt;&lt;ToolMap&gt;&lt;HN&gt;LEH-QT&lt;/HN&gt;&lt;MN&gt;LEHQT&lt;/MN&gt;&lt;I...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>TOTC</td>\n",
       "      <td>Total Azimuthal Correction</td>\n",
       "      <td>[-1.1452460289001465]</td>\n",
       "      <td>deg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>TOWN</td>\n",
       "      <td>Township</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>TPOS</td>\n",
       "      <td>Tool Position: Centered or Eccentered</td>\n",
       "      <td>[ECCENTERED]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>TVD</td>\n",
       "      <td>True Vertical Depth</td>\n",
       "      <td>[0.0]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>TWS</td>\n",
       "      <td>Connate Water Temperature</td>\n",
       "      <td>[20.0]</td>\n",
       "      <td>degC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>TWS_RM</td>\n",
       "      <td>Temperature of Water Sample (RM)</td>\n",
       "      <td>[20.0]</td>\n",
       "      <td>degC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>U-USIT_DDT5</td>\n",
       "      <td>USIC Downhole Decimation for T5 only</td>\n",
       "      <td>[0_NONE]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>ULOG</td>\n",
       "      <td>Logging Objective</td>\n",
       "      <td>[MEASURE]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>UMAO</td>\n",
       "      <td>USIT Measurement Angular Offset</td>\n",
       "      <td>[18.0]</td>\n",
       "      <td>deg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>UMFR</td>\n",
       "      <td>Modulation Frequency</td>\n",
       "      <td>[333333.0]</td>\n",
       "      <td>Hz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>UPAT</td>\n",
       "      <td>Emission Pattern</td>\n",
       "      <td>[300K]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>USFR</td>\n",
       "      <td>Ultrasonic Sampling Frequency</td>\n",
       "      <td>[500000.0]</td>\n",
       "      <td>Hz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>USTO</td>\n",
       "      <td>USIT Time Offset</td>\n",
       "      <td>[-2.0]</td>\n",
       "      <td>us</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>USUB</td>\n",
       "      <td>USIT Sub Identifier</td>\n",
       "      <td>[10INC]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>UWID</td>\n",
       "      <td>Unique Well Identifier</td>\n",
       "      <td>[15/9-F-11 B]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>UWKM</td>\n",
       "      <td>Working Mode</td>\n",
       "      <td>[D606005L]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>VCAS</td>\n",
       "      <td>Ultrasonic Transversal Velocity in Casing</td>\n",
       "      <td>[51.400001525878906]</td>\n",
       "      <td>us/ft</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>VDLG</td>\n",
       "      <td>VDL Manual Gain</td>\n",
       "      <td>[5.0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>VHOL</td>\n",
       "      <td>Cumulative Hole Volume</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>m3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>VILL_VDCLRAT</td>\n",
       "      <td>Volume fraction of dry clay composed of Illite</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>VIS_OBMF</td>\n",
       "      <td>Viscosity of Oil Based Mud Filtrate</td>\n",
       "      <td>[1.0]</td>\n",
       "      <td>mPa.s</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>VKAO_VDCLRAT</td>\n",
       "      <td>Volume fraction of dry clay composed of Kaolinite</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>VMON_VDCLRAT</td>\n",
       "      <td>Volume fraction of dry clay composed of Montmo...</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>VRES</td>\n",
       "      <td>Vertical Resolution</td>\n",
       "      <td>[6.0INCH]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>WDD</td>\n",
       "      <td>Water Downhole Density</td>\n",
       "      <td>[1.0]</td>\n",
       "      <td>g/cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>WDEP</td>\n",
       "      <td>Water Depth</td>\n",
       "      <td>[91.0]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>WHEEL_CORR1</td>\n",
       "      <td>Wheel Correction 1</td>\n",
       "      <td>[-2.0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>WHEEL_CORR2</td>\n",
       "      <td>Wheel Correction 2</td>\n",
       "      <td>[-4.0]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>WINB</td>\n",
       "      <td>Window Begin Time</td>\n",
       "      <td>[53.79532241821289]</td>\n",
       "      <td>us</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>WINE</td>\n",
       "      <td>Window End Time</td>\n",
       "      <td>[120.3934326171875]</td>\n",
       "      <td>us</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>WLEN</td>\n",
       "      <td>T^3 Processing Length</td>\n",
       "      <td>[32.32666778564453]</td>\n",
       "      <td>us</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>WMOD</td>\n",
       "      <td>Waveform Firing Mode</td>\n",
       "      <td>[FULL]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>407</th>\n",
       "      <td>WMUC</td>\n",
       "      <td>Weight of Mud for CET</td>\n",
       "      <td>[1.2799999713897705]</td>\n",
       "      <td>g/cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>WMUD</td>\n",
       "      <td>Weight of Mud</td>\n",
       "      <td>[1.2799999713897705]</td>\n",
       "      <td>g/cm3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>WN</td>\n",
       "      <td>Well Name</td>\n",
       "      <td>[15/9-F-11 B]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>WSAL</td>\n",
       "      <td>Water Salinity</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>ppm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>WSAL_SPRI</td>\n",
       "      <td>Water Salinity</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>ppm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>WVIS</td>\n",
       "      <td>Water Viscosity</td>\n",
       "      <td>[0.5]</td>\n",
       "      <td>mPa.s</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>ZCAS</td>\n",
       "      <td>Acoustic Impedance of Casing</td>\n",
       "      <td>[46.25]</td>\n",
       "      <td>Mrayl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>ZCMT</td>\n",
       "      <td>Acoustic Impedance of Cement</td>\n",
       "      <td>[5.599999904632568]</td>\n",
       "      <td>Mrayl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>ZINI</td>\n",
       "      <td>Initial Estimate of Cement Impedance</td>\n",
       "      <td>[-1.0]</td>\n",
       "      <td>Mrayl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>ZMUD</td>\n",
       "      <td>Acoustic Impedance of Mud</td>\n",
       "      <td>[1.590000033378601]</td>\n",
       "      <td>Mrayl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>ZRCS</td>\n",
       "      <td>Tool Zero Reference Check at Surface</td>\n",
       "      <td>[-999.25]</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>ZTCM</td>\n",
       "      <td>Acoustic Impedance Threshold for Cement</td>\n",
       "      <td>[2.5999999046325684]</td>\n",
       "      <td>Mrayl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>ZTGS</td>\n",
       "      <td>Acoustic Impedance Threshold for Gas</td>\n",
       "      <td>[0.30000001192092896]</td>\n",
       "      <td>Mrayl</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  Name  \\\n",
       "193                                  A   \n",
       "335                            AC_TRIM   \n",
       "285                               AFVU   \n",
       "339                               AGMN   \n",
       "340                               AGMX   \n",
       "11                            ALT_PDAT   \n",
       "289                                AMD   \n",
       "217                               AMSG   \n",
       "266                                APD   \n",
       "54                                APIN   \n",
       "262                               APRE   \n",
       "405                               ATEM   \n",
       "247                            AU_TRIM   \n",
       "29                           AZ_ENABLE   \n",
       "59                           AZ_SELECT   \n",
       "86                                 BAP   \n",
       "263                               BASI   \n",
       "72                                BERJ   \n",
       "63                                  BG   \n",
       "94                                BHAL   \n",
       "279                                BHK   \n",
       "95                                 BHS   \n",
       "124                                BHT   \n",
       "429                             BHT_RM   \n",
       "248                               BILI   \n",
       "147                                BLI   \n",
       "273                                 BO   \n",
       "116                                BPP   \n",
       "299                                BPT   \n",
       "355                                 BS   \n",
       "334                               BSAL   \n",
       "417                            BSAL_RM   \n",
       "356                               BSDF   \n",
       "357                               BSDT   \n",
       "135                               BSSO   \n",
       "109                                 BW   \n",
       "358                               CADT   \n",
       "459                     CALI_CABLE_TYP   \n",
       "460                          CALI_DATE   \n",
       "461                          CALI_DATE   \n",
       "462                     CALI_SERIALNUM   \n",
       "463                     CALI_SERIALNUM   \n",
       "359                               CASG   \n",
       "165                               CASN   \n",
       "360                               CBDR   \n",
       "239                               CBLG   \n",
       "361                               CBLO   \n",
       "75                                CBRA   \n",
       "205                     CCL_MULTIPLIER   \n",
       "331                               CDEN   \n",
       "362                                CDF   \n",
       "363                               CDIA   \n",
       "87                                CDTS   \n",
       "364                               CGRD   \n",
       "267                               CLAB   \n",
       "82                                CMCF   \n",
       "410                   CMR_FORM_H2O_SAL   \n",
       "150                               CMTY   \n",
       "314                                 CN   \n",
       "213                                CN1   \n",
       "254                               CONT   \n",
       "320                             CONTYP   \n",
       "215                      COORDSYS_NAME   \n",
       "134                               COUN   \n",
       "365                               CSDE   \n",
       "366                               CSID   \n",
       "367                               CSIZ   \n",
       "210                               CSLH   \n",
       "57                                CTOT   \n",
       "368                               CWEI   \n",
       "369                               CYST   \n",
       "321                             C_ALGO   \n",
       "296                            C_BLANK   \n",
       "31                              C_DLEN   \n",
       "337                              C_JNO   \n",
       "277                            C_MFILT   \n",
       "8                                C_MPL   \n",
       "240                              C_NUP   \n",
       "90                               C_TPC   \n",
       "176                             C_WIND   \n",
       "383                               DATE   \n",
       "178                               DATF   \n",
       "292                               DATT   \n",
       "384                                DCS   \n",
       "192                            DC_MODE   \n",
       "313                       DC_RT_ENABLE   \n",
       "294                            DC_TRIM   \n",
       "70                                DDEL   \n",
       "159                          DELT_LOCB   \n",
       "197                          DELT_LOCG   \n",
       "322                          DELT_MDIP   \n",
       "194                     DELT_USER_LOCB   \n",
       "185                     DELT_USER_LOCG   \n",
       "309                     DELT_USER_MDIP   \n",
       "222                            DEPREM1   \n",
       "190                            DEPREM2   \n",
       "102                            DEPREM3   \n",
       "121                            DEPREM4   \n",
       "125                            DEPREM5   \n",
       "180                            DEPREM6   \n",
       "199                     DEPTH_SYS_TYPE   \n",
       "318                               DETE   \n",
       "71                                 DFD   \n",
       "201                               DFES   \n",
       "281                                DFL   \n",
       "311                               DFPH   \n",
       "432                                DFT   \n",
       "244                               DFTS   \n",
       "144                                DFV   \n",
       "396                               DFVL   \n",
       "246                               DHGS   \n",
       "304                        DIP_AZIMUTH   \n",
       "385                               DLAB   \n",
       "187                       DMAG_CORR_ON   \n",
       "211                        DMAG_CUTOFF   \n",
       "353                                DMF   \n",
       "261                           DNI_DATE   \n",
       "323                                DOT   \n",
       "137                               DOWR   \n",
       "14                                DSIN   \n",
       "155                               DSSN   \n",
       "168                               DTCM   \n",
       "34                                 DTF   \n",
       "133                               DTFS   \n",
       "200                                DTM   \n",
       "253                               DTMD   \n",
       "408                              DTMUD   \n",
       "403                           DTMUD_RM   \n",
       "214                               DWCO   \n",
       "105                                EAE   \n",
       "257                                ECF   \n",
       "303                                EDF   \n",
       "24                                 EDI   \n",
       "170                                EGL   \n",
       "55                                 EKB   \n",
       "179                                ELZ   \n",
       "234                               EMXV   \n",
       "38                             ENABLED   \n",
       "39                             ENABLED   \n",
       "40                             ENABLED   \n",
       "50                             ENABLED   \n",
       "41                             ENABLED   \n",
       "42                             ENABLED   \n",
       "43                             ENABLED   \n",
       "49                             ENABLED   \n",
       "44                             ENABLED   \n",
       "48                             ENABLED   \n",
       "47                             ENABLED   \n",
       "45                             ENABLED   \n",
       "46                             ENABLED   \n",
       "280                                EPD   \n",
       "464                     EP_DDEQUIP_TYP   \n",
       "457                     EP_LCEQUIP_TYP   \n",
       "467                     EP_TDEQUIP_TYP   \n",
       "198                               ETIP   \n",
       "333                               FATT   \n",
       "227                                FCD   \n",
       "118                                FCF   \n",
       "0                                   FD   \n",
       "404                               FEXP   \n",
       "1                                  FFV   \n",
       "136                                 FL   \n",
       "112                                FL1   \n",
       "272                                FL2   \n",
       "426                               FLDE   \n",
       "67                                FLEV   \n",
       "183                                 FN   \n",
       "422                               FNUM   \n",
       "433                               FPHI   \n",
       "225                               FSAL   \n",
       "418                               FVEL   \n",
       "434                               GCSE   \n",
       "115                                GDD   \n",
       "394                           GDD_SPRI   \n",
       "98                                GDEV   \n",
       "252                       GEOMAG_MODEL   \n",
       "167                               GGRA   \n",
       "195                               GGRD   \n",
       "330                               GMLD   \n",
       "325                               GMLG   \n",
       "251                               GMLH   \n",
       "229                               GOBO   \n",
       "305                                GOR   \n",
       "401                           GOR_SPRI   \n",
       "66        GPIT_CABLE_CONFIDENCE_FACTOR   \n",
       "203                GPIT_RECOVERY_SPEED   \n",
       "284  GPIT_STICKING_DETECTION_THRESHOLD   \n",
       "395                               GRAD   \n",
       "302                               GRDC   \n",
       "435                               GRSE   \n",
       "52                       GR_MULTIPLIER   \n",
       "436                               GTSE   \n",
       "85                                GVIS   \n",
       "126                               HDAT   \n",
       "450                               HID1   \n",
       "451                               HID2   \n",
       "449                               HIDE   \n",
       "74                                HIFF   \n",
       "397                   HILT_GAS_DENSITY   \n",
       "232                               HRES   \n",
       "231                          HTEN_CALI   \n",
       "230                          HTEN_CALI   \n",
       "131                       HTEN_MULTIPL   \n",
       "130                       HTEN_MULTIPL   \n",
       "113                        HTEN_PM_REF   \n",
       "21                          HTEN_SHIFT   \n",
       "22                          HTEN_SHIFT   \n",
       "145                        HTEN_ZM_REF   \n",
       "437                               HVCS   \n",
       "175                                IBG   \n",
       "65                                IHVC   \n",
       "409                               IHVS   \n",
       "438                             ISSBAR   \n",
       "188                               ITTS   \n",
       "129                              JOBID   \n",
       "393                               KPER   \n",
       "265                               LATD   \n",
       "220                               LATI   \n",
       "5                                  LCC   \n",
       "226                               LCC1   \n",
       "458                                LCL   \n",
       "352                               LCSN   \n",
       "172                               LLAB   \n",
       "221                                LMF   \n",
       "182                               LNAM   \n",
       "389                               LOC1   \n",
       "300                               LOCG   \n",
       "13                              LOGSEQ   \n",
       "329                             LOGTYP   \n",
       "107                               LOND   \n",
       "274                               LONG   \n",
       "177                               LSRV   \n",
       "104                                LUL   \n",
       "312                                LUN   \n",
       "241                                  M   \n",
       "163                              MAHTR   \n",
       "237                     MANL_GRID_CONV   \n",
       "439                               MATR   \n",
       "298                               MATT   \n",
       "141                      MAX_LOG_SPEED   \n",
       "78                      MAX_TOOL_SPEED   \n",
       "79                      MAX_TOOL_SPEED   \n",
       "80                      MAX_TOOL_SPEED   \n",
       "245                                MCI   \n",
       "249                               MCSS   \n",
       "33                                MCST   \n",
       "4                                 MDEC   \n",
       "3                                 MDEC   \n",
       "440                               MDEN   \n",
       "288                               MFIN   \n",
       "89                                MFSS   \n",
       "37                                MFST   \n",
       "53                                 MHD   \n",
       "196                               MINC   \n",
       "242                              MNHTR   \n",
       "6                                 MODE   \n",
       "425                               MRES   \n",
       "51                                 MRT   \n",
       "7                                 MRT1   \n",
       "184                               MRT2   \n",
       "32                                MRT3   \n",
       "160                                MSA   \n",
       "157                                MSS   \n",
       "169                                MST   \n",
       "424                             MST_RM   \n",
       "191                               MVIS   \n",
       "399                                 MW   \n",
       "414                              MW_RM   \n",
       "20                                   N   \n",
       "73                                NATI   \n",
       "293                               NMSG   \n",
       "149                               NMXG   \n",
       "117                          NORTH_REF   \n",
       "93                                NPPW   \n",
       "315                               NUMP   \n",
       "171                               NWPD   \n",
       "441                                OBM   \n",
       "101                                ODD   \n",
       "415                           ODD_SPRI   \n",
       "207                               ODEN   \n",
       "123              OFFSHORE_BLOCK_NUMBER   \n",
       "140                               OGRA   \n",
       "430                          OGRA_SPRI   \n",
       "402                                OMR   \n",
       "398                               OMRX   \n",
       "153                               OPER   \n",
       "264                              OPLEV   \n",
       "452                                OS1   \n",
       "453                                OS2   \n",
       "454                                OS3   \n",
       "455                                OS4   \n",
       "456                                OS5   \n",
       "58                        OVERIDE_LOCB   \n",
       "270                       OVERIDE_LOCG   \n",
       "106                     OVERIDE_MAGDEC   \n",
       "96                      OVERIDE_MAGDIP   \n",
       "216                               OVIS   \n",
       "92                             PCIDDRL   \n",
       "128                            PCODDRL   \n",
       "62                                PDAT   \n",
       "259                                PHI   \n",
       "295                            PLODDRL   \n",
       "390                               PMUD   \n",
       "142                       PROD_MOD_TRC   \n",
       "386                               PVER   \n",
       "132                                 R1   \n",
       "256                                R10   \n",
       "12                                 R11   \n",
       "122                                R12   \n",
       "36                                 R13   \n",
       "324                                R14   \n",
       "286                                R15   \n",
       "103                                R16   \n",
       "97                                 R17   \n",
       "317                                 R2   \n",
       "224                                 R3   \n",
       "158                                 R4   \n",
       "223                                 R5   \n",
       "276                                 R6   \n",
       "151                                 R7   \n",
       "301                                 R9   \n",
       "173                               RANG   \n",
       "181                               RATE   \n",
       "84                                RCOD   \n",
       "91                                RCSO   \n",
       "9                                 RCTH   \n",
       "99                      REQPERFOINTRVL   \n",
       "316                       REQSMPLDEPTH   \n",
       "233                      REQSMPLREMARK   \n",
       "423                               RHOF   \n",
       "204                               RIGN   \n",
       "152                             RIGTYP   \n",
       "327                               RLAB   \n",
       "238                               RLDT   \n",
       "60                                RLNM   \n",
       "291                               RLRN   \n",
       "282                                RMB   \n",
       "307                               RMCS   \n",
       "76                                RMFB   \n",
       "17                                RMFS   \n",
       "209                                RMS   \n",
       "419                             RMS_RM   \n",
       "431                               RMUD   \n",
       "421                               RMUX   \n",
       "83                               ROMFS   \n",
       "376                               RR10   \n",
       "375                                RR2   \n",
       "378                                RR3   \n",
       "374                                RR4   \n",
       "373                                RR5   \n",
       "382                                RR6   \n",
       "377                                RR7   \n",
       "379                                RR8   \n",
       "380                                RR9   \n",
       "391                               RTST   \n",
       "427                            RT_BSAL   \n",
       "120                               RULB   \n",
       "25                                RULS   \n",
       "336                                RUN   \n",
       "442                               RUPI   \n",
       "16                                  RW   \n",
       "189                                RWF   \n",
       "228                                RWS   \n",
       "161                        SAG_CORR_ON   \n",
       "30                               SCORR   \n",
       "219                               SDNV   \n",
       "81                                SDTH   \n",
       "341                             SDTHOR   \n",
       "342                             SDTVER   \n",
       "354                          SEABDEPTH   \n",
       "166                               SECT   \n",
       "428                          SEXP_HILT   \n",
       "35                                SFAF   \n",
       "18                                SFTY   \n",
       "119                               SGAD   \n",
       "218                               SGAI   \n",
       "271                               SGCL   \n",
       "287                               SGCW   \n",
       "23                                SGDT   \n",
       "319                               SGOR   \n",
       "64                                 SGW   \n",
       "26                                 SHT   \n",
       "411                             SHT_RM   \n",
       "69                                SLAB   \n",
       "326                               SLEV   \n",
       "332                               SOGR   \n",
       "143                                SON   \n",
       "2                                  SPF   \n",
       "443                               SPFS   \n",
       "27                                SPSO   \n",
       "235                          SPUD_DATE   \n",
       "108                               STAT   \n",
       "100                              STDLC   \n",
       "412                               STEM   \n",
       "343                               SUBT   \n",
       "310                               SUTH   \n",
       "138                               TBGD   \n",
       "387                                TCS   \n",
       "148                               TCUB   \n",
       "250                                 TD   \n",
       "370                                TDD   \n",
       "371                                TDL   \n",
       "468                       TD_CALI_GAIN   \n",
       "469                     TD_CALI_OFFSET   \n",
       "470                   TD_CALI_PEAK_ERR   \n",
       "471                        TD_CALI_PTS   \n",
       "472                        TD_CALI_RMS   \n",
       "406                              TD_RM   \n",
       "164                 TD_TOLERANCE_LEVEL   \n",
       "420                        TET_SHOT_VT   \n",
       "290                               THDH   \n",
       "111                               THDL   \n",
       "283                               THDP   \n",
       "372                               THNO   \n",
       "388                               TLAB   \n",
       "243                                TLI   \n",
       "269                              TLLAB   \n",
       "444                               TMUC   \n",
       "351                              TNDSN   \n",
       "278                              TOOLS   \n",
       "445                         TOOL_MAP_1   \n",
       "446                         TOOL_MAP_2   \n",
       "447                         TOOL_MAP_3   \n",
       "448                         TOOL_MAP_4   \n",
       "88                                TOTC   \n",
       "258                               TOWN   \n",
       "162                               TPOS   \n",
       "338                                TVD   \n",
       "127                                TWS   \n",
       "416                             TWS_RM   \n",
       "349                        U-USIT_DDT5   \n",
       "344                               ULOG   \n",
       "345                               UMAO   \n",
       "208                               UMFR   \n",
       "346                               UPAT   \n",
       "297                               USFR   \n",
       "347                               USTO   \n",
       "348                               USUB   \n",
       "146                               UWID   \n",
       "350                               UWKM   \n",
       "61                                VCAS   \n",
       "308                               VDLG   \n",
       "275                               VHOL   \n",
       "156                       VILL_VDCLRAT   \n",
       "392                           VIS_OBMF   \n",
       "110                       VKAO_VDCLRAT   \n",
       "186                       VMON_VDCLRAT   \n",
       "174                               VRES   \n",
       "154                                WDD   \n",
       "68                                WDEP   \n",
       "465                        WHEEL_CORR1   \n",
       "466                        WHEEL_CORR2   \n",
       "306                               WINB   \n",
       "260                               WINE   \n",
       "10                                WLEN   \n",
       "15                                WMOD   \n",
       "407                               WMUC   \n",
       "413                               WMUD   \n",
       "212                                 WN   \n",
       "56                                WSAL   \n",
       "400                          WSAL_SPRI   \n",
       "114                               WVIS   \n",
       "268                               ZCAS   \n",
       "28                                ZCMT   \n",
       "328                               ZINI   \n",
       "236                               ZMUD   \n",
       "19                                ZRCS   \n",
       "255                               ZTCM   \n",
       "202                               ZTGS   \n",
       "\n",
       "                                             Long name  \\\n",
       "193  Constant A of the Archie Formation Factor - Po...   \n",
       "335                                 AC Main Cable Trim   \n",
       "285                    Automatic Fluid Velocity Update   \n",
       "339                          Minimum Gain of Cartridge   \n",
       "340                          Maximum Gain of Cartridge   \n",
       "11   Name of Alternate Permanent Datum (for PDAT = ...   \n",
       "289                       Azimuth of Maximum Deviation   \n",
       "217                     Auxiliary Minimum Sliding Gate   \n",
       "266  Elevation of Depth Reference (LMF) Above Perma...   \n",
       "54                                     API Well Number   \n",
       "262                               Atmospheric Pressure   \n",
       "405                                Ambient Temperature   \n",
       "247                                  AC AUX Cable Trim   \n",
       "29   Z-Axis Acceleration Channel Enabled for Real-T...   \n",
       "59   Z-Axis Acceleration Channel Selection for Real...   \n",
       "86    Elevation of the cellar base, for on-shore wells   \n",
       "263  Name of the sedimentary basin in which the wel...   \n",
       "72                                  Bad Echo Rejection   \n",
       "63                     Gas Formation Volume Factor, Bg   \n",
       "94                GRA Borehole Aluminum Weight Percent   \n",
       "279             Drilling Fluid Potassium Concentration   \n",
       "95                Borehole Status (Open or Cased Hole)   \n",
       "124                            Bottom Hole Temperature   \n",
       "429                       Bottom Hole Temperature (RM)   \n",
       "248                Bond Index Level for Zone Isolation   \n",
       "147                                Bottom Log Interval   \n",
       "273                    Oil Formation Volume Factor, Bo   \n",
       "116                              Bubble Point Pressure   \n",
       "299                           Bubble Point Temperature   \n",
       "355                                           Bit Size   \n",
       "334                                  Borehole Salinity   \n",
       "417  Borehole Salinity (NaCl-equivalent concentrati...   \n",
       "356                                Bit Size Depth From   \n",
       "357                                  Bit Size Depth To   \n",
       "135                   Source of Borehole Salinity Data   \n",
       "109                  Water Formation Volume Factor, Bw   \n",
       "358                                    Casing Depth To   \n",
       "459                             Calibration Cable Type   \n",
       "460                                   Calibration Date   \n",
       "461                                   Calibration Date   \n",
       "462                           Calibrator Serial Number   \n",
       "463                           Calibrator Serial Number   \n",
       "359                                       Casing Grade   \n",
       "165                               Casing String Number   \n",
       "360                           Casing Bottom of Driller   \n",
       "239                                     CBL Gate Width   \n",
       "361                           Logger Casing Shoe Depth   \n",
       "75            CBL LQC Reference Amplitude in Free Pipe   \n",
       "205                   Casing Collar Locator Multiplier   \n",
       "331                                     Cement Density   \n",
       "362                                  Casing Depth From   \n",
       "363                              Casing Outer Diameter   \n",
       "87             Correction for Delta-T Shale, Empirical   \n",
       "364                                       Casing Grade   \n",
       "267  County/Parish Label, used with the COUN parame...   \n",
       "82                 CBL Cement Type Compensation Factor   \n",
       "410                       CMR Formation Water Salinity   \n",
       "150                                        Cement Type   \n",
       "314                                       Company Name   \n",
       "213                               Company Name, Line 1   \n",
       "254                                          Continent   \n",
       "320                                    Conveyance Type   \n",
       "215                     Surface coordinate system name   \n",
       "134                                   County or Parish   \n",
       "365                                     Casing Density   \n",
       "366                              Casing Inner Diameter   \n",
       "367                                Current Casing Size   \n",
       "210  Flag Indicating Presence of Liner Hanger in Ca...   \n",
       "57             Total Compressibility of Rock and Fluid   \n",
       "368                                      Casing Weight   \n",
       "369                              Casing Yield Strength   \n",
       "321                         Collar detection algorithm   \n",
       "296         Ignore on each side of each collar, inches   \n",
       "31                     Collar detection length, inches   \n",
       "337                                Joint number offset   \n",
       "277         Apply 3-point median filter to statistics?   \n",
       "8                          Minimum pipe length, inches   \n",
       "240                         Number joints from bottom?   \n",
       "90               Collar detection threshold percentage   \n",
       "176             Collar detection window length, inches   \n",
       "383                      Tools Above Rotary Table Date   \n",
       "178                                   Date Logged From   \n",
       "292                                     Date Logged To   \n",
       "384                           Date Circulation Stopped   \n",
       "192                              Depth Correction Mode   \n",
       "313                 Depth Correction Real-Time Enabled   \n",
       "294                                 DC Main Cable Trim   \n",
       "70                                    Digitizing Delay   \n",
       "159  Reference Acceptance Criteria for Magnetic Flu...   \n",
       "197  Reference Acceptance Criteria for Gravitationa...   \n",
       "322  Reference Acceptance Criteria for Magnetic Dip...   \n",
       "194      Acceptance Criteria for Magnetic Flux Density   \n",
       "185  Acceptance Criteria for Gravitational Field St...   \n",
       "309         Acceptance Criteria for Magnetic Dip Angle   \n",
       "222                                     Depth Remark 1   \n",
       "190                                     Depth Remark 2   \n",
       "102                                     Depth Remark 3   \n",
       "121                                     Depth Remark 4   \n",
       "125                                     Depth Remark 5   \n",
       "180                                     Depth Remark 6   \n",
       "199                                  Depth System Type   \n",
       "318                                  Delta-T Detection   \n",
       "71                              Drilling Fluid Density   \n",
       "201                               Electrical Stability   \n",
       "281                                Drilling Fluid Loss   \n",
       "311                                  Drilling Fluid pH   \n",
       "432                                Drilling Fluid Type   \n",
       "244                        Drilling Fluid Total Solids   \n",
       "144                           Drilling Fluid Viscosity   \n",
       "396                             Default Fluid Velocity   \n",
       "246                 Drilling Fluid High Gravity Solids   \n",
       "304  Azimuth of a dipping plane in the Earth subsur...   \n",
       "385                              Date Logger At Bottom   \n",
       "187                             Enable DMAG Correction   \n",
       "211                                  DMAG Cutoff Depth   \n",
       "353  Drilling Measured From (Name of Drilling Eleva...   \n",
       "261   Direction and Inclination Inits Calculation Date   \n",
       "323                      Diameter of Transducer Sensor   \n",
       "137                     Drilling Fluid Oil/water Ratio   \n",
       "14                           Digitizer Sample Interval   \n",
       "155                         Depth System Serial Number   \n",
       "168                           Delta-T Computation Mode   \n",
       "34                                       Delta-T Fluid   \n",
       "133                          DSLT Telemetry Frame Size   \n",
       "200                                     Delta-T Matrix   \n",
       "253                            Borehole Fluid Slowness   \n",
       "408                                    Delta-T for Mud   \n",
       "403                                                      \n",
       "214                               Digitizer Word Count   \n",
       "105                            Estimated Azimuth Error   \n",
       "257                         Elevation of Casing Flange   \n",
       "303                         Elevation of Derrick Floor   \n",
       "24                  Estimated Drillstring Interference   \n",
       "170                          Elevation of Ground Level   \n",
       "55                          Elevation of Kelly Bushing   \n",
       "179                Elevation of Logging Zero Reference   \n",
       "234                                       EMEX Voltage   \n",
       "38         Equipment or Computation Acquisition Status   \n",
       "39         Equipment or Computation Acquisition Status   \n",
       "40         Equipment or Computation Acquisition Status   \n",
       "50         Equipment or Computation Acquisition Status   \n",
       "41         Equipment or Computation Acquisition Status   \n",
       "42         Equipment or Computation Acquisition Status   \n",
       "43         Equipment or Computation Acquisition Status   \n",
       "49         Equipment or Computation Acquisition Status   \n",
       "44         Equipment or Computation Acquisition Status   \n",
       "48         Equipment or Computation Acquisition Status   \n",
       "47         Equipment or Computation Acquisition Status   \n",
       "45         Equipment or Computation Acquisition Status   \n",
       "46         Equipment or Computation Acquisition Status   \n",
       "280  Elevation of Permanent Datum (PDAT) above Mean...   \n",
       "464                        Depth measuring device type   \n",
       "457                                 Logging cable type   \n",
       "467                                Tension device type   \n",
       "198                     Elevation of the TIP above MSL   \n",
       "333                  Acoustic Attenuation due to Fluid   \n",
       "227                     Future Casing (Outer) Diameter   \n",
       "118                      CBL Fluid Compensation Factor   \n",
       "0                                        Fluid Density   \n",
       "404          Exponent \"m\" for Formation Factor Formula   \n",
       "1                            Formation Fluid Viscosity   \n",
       "136                                     Field Location   \n",
       "112                             Field Location, Line 1   \n",
       "272                             Field Location, Line 2   \n",
       "426                              Fluid Density (kg/m3)   \n",
       "67   Depth of Drilling Fluid Level to LMF (Log Meas...   \n",
       "183                                         Field Name   \n",
       "422           F-Numerator for Formation Factor Formula   \n",
       "433    Source of Porosity for Formation Factor Formula   \n",
       "225                                 Formation Salinity   \n",
       "418                        Fluid Interval Transit Time   \n",
       "434                      Generalized Caliper Selection   \n",
       "115                               Gas Downhole Density   \n",
       "394                               Gas Downhole Density   \n",
       "98   Average Angular Deviation of Borehole from Ver...   \n",
       "252         Geomag Model that used for FAC calculation   \n",
       "167                                        Gas Gravity   \n",
       "195                                Geothermal Gradient   \n",
       "330                                 Magnetic Dip Angle   \n",
       "325                       Gravitational Field Strength   \n",
       "251                              Magnetic Flux Density   \n",
       "229                                          Good Bond   \n",
       "305                                      Gas Oil Ratio   \n",
       "401                                      Gas Oil Ratio   \n",
       "66   Confidence factor on cable depth used in GPIT ...   \n",
       "203  Ratio (average speed after sticking) / (averag...   \n",
       "284  Sticking detection threshold used in GPIT spee...   \n",
       "395                  Real-Time Formation Temp Gradient   \n",
       "302                         RST Grid Current Set Point   \n",
       "435              Generalized Mud Resistivity Selection   \n",
       "52                                Gamma Ray Multiplier   \n",
       "436                  Generalized Temperature Selection   \n",
       "85                                       Gas Viscosity   \n",
       "126                          Coordinate system adopted   \n",
       "450                                Header Identifier 1   \n",
       "451                                Header Identifier 2   \n",
       "449                                  Header Identifier   \n",
       "74                   Hydrogen Index of Formation Fluid   \n",
       "397                          HILT Gas Downhole Density   \n",
       "232                              Horizontal Resolution   \n",
       "231                    Head Tension Calibration Method   \n",
       "230                    Head Tension Calibration Method   \n",
       "131             Head Tension Multiplier or Manual Gain   \n",
       "130             Head Tension Multiplier or Manual Gain   \n",
       "113                        Head Tension Plus Reference   \n",
       "21                 Head Tension Shift or Manual Offset   \n",
       "22                 Head Tension Shift or Manual Offset   \n",
       "145                        Head Tension Zero Reference   \n",
       "437           Integrated Hole Volume Caliper Selection   \n",
       "175                1/Gas Formation Volume Factor, 1/Bg   \n",
       "65                      Integrated Hole Volume Control   \n",
       "409                 Integrated Hole Volume Start Value   \n",
       "438                                  Barite Mud Switch   \n",
       "188                     Integrated Transit Time Source   \n",
       "129                                 Job Identification   \n",
       "393                                                      \n",
       "265                                 Latitude (N=+ S=-)   \n",
       "220                                           Latitude   \n",
       "5         Logging Company Code (API DLIS Company Code)   \n",
       "226                               Logging Company Name   \n",
       "458                               Logging Cable Length   \n",
       "352                        Logging Cable Serial Number   \n",
       "172  Section/Latitude Label, used with the SECT or ...   \n",
       "221  Logging Measured From (Name of Logging Elevati...   \n",
       "182  Identification mnemonic for the logging operation   \n",
       "389                                  Location - 1 Text   \n",
       "300                       Gravitational Field Strength   \n",
       "13                                        Log Sequence   \n",
       "329                                        Type of log   \n",
       "107                                          Longitude   \n",
       "274                                          Longitude   \n",
       "177                                    Type of service   \n",
       "104                              Logging Unit Location   \n",
       "312                                Logging Unit Number   \n",
       "241  Exponent M of the Archie Formation Factor - Po...   \n",
       "163  Manual High Threshold Reference for first arri...   \n",
       "237  Flag for manually entering the grid convergenc...   \n",
       "439       Rock Matrix for Neutron Porosity Corrections   \n",
       "298                                Maximum Attenuation   \n",
       "141                   Toolstring Maximum Logging Speed   \n",
       "78   Maximum service speed allowed for, or attained...   \n",
       "79   Maximum service speed allowed for, or attained...   \n",
       "80   Maximum service speed allowed for, or attained...   \n",
       "245            Minimum Cemented Interval for Isolation   \n",
       "249                              Mudcake Sample Source   \n",
       "33                          Mudcake Sample Temperature   \n",
       "4                           Magnetic Field Declination   \n",
       "3                           Magnetic Field Declination   \n",
       "440                Matrix Density for Density Porosity   \n",
       "288                           Magnetic Field Intensity   \n",
       "89                          Mud Filtrate Sample Source   \n",
       "37                     Mud Filtrate Sample Temperature   \n",
       "53                              Maximum Hole Deviation   \n",
       "196                         Magnetic Field Inclination   \n",
       "242  Minimum High Threshold Reference for first arr...   \n",
       "6    Sonic Firing Mode (e.g. DDBHC = Depth-Derived ...   \n",
       "425                                    Mud Resistivity   \n",
       "51                        Maximum Recorded Temperature   \n",
       "7                       Maximum Recorded Temperature 1   \n",
       "184                     Maximum Recorded Temperature 2   \n",
       "32                      Maximum Recorded Temperature 3   \n",
       "160                            Minimum Sonic Amplitude   \n",
       "157                                  Mud Sample Source   \n",
       "169                             Mud Sample Temperature   \n",
       "424                        Mud Sample Temperature (RM)   \n",
       "191                             Mud Filtrate Viscosity   \n",
       "399                                         Mud Weight   \n",
       "414                                    Mud Weight (RM)   \n",
       "20                            N Exponent in SW Formula   \n",
       "73                                              Nation   \n",
       "293                          Near Minimum Sliding Gate   \n",
       "149                          Near Maximum Sliding Gate   \n",
       "117                                    North Reference   \n",
       "93                       Number of Points Per Waveform   \n",
       "315                         Number of Detection Passes   \n",
       "171                      Number of Waveforms per Depth   \n",
       "441                                 Oil Based Mud Flag   \n",
       "101                               Oil Downhole Density   \n",
       "415                               Oil Downhole Density   \n",
       "207                                        Oil Density   \n",
       "123  Identification of the Offshore block where the...   \n",
       "140                                Surface Oil Gravity   \n",
       "430                                     Gravity of Oil   \n",
       "402                          Origin of Mud Resistivity   \n",
       "398  Origin of Mud Resistivity [CONS(def), AMS, DEP...   \n",
       "153              Operator Code (API DLIS Company Code)   \n",
       "264                     USIT Remove Flagged Data Level   \n",
       "452                              Other Services Line 1   \n",
       "453                              Other Services Line 2   \n",
       "454                              Other Services Line 3   \n",
       "455                              Other Services Line 4   \n",
       "456                              Other Services Line 5   \n",
       "58                      Override Magnetic Flux Density   \n",
       "270              Override Gravitational Field Strength   \n",
       "106                Override Magnetic Declination Angle   \n",
       "96                         Override Magnetic Dip Angle   \n",
       "216                                      Oil Viscosity   \n",
       "92   Packer Inner Diameter - Zoned along driller de...   \n",
       "128  Packer Outer Diameter - Zoned along driller de...   \n",
       "62                                     Permanent Datum   \n",
       "259                                           Porosity   \n",
       "295   Plug Outer Diameter - Zoned along driller depths   \n",
       "390                     Potassium Concentration in Mud   \n",
       "142  Software product may do modifications to the d...   \n",
       "386                                    Program Version   \n",
       "132                                     Remarks Line 1   \n",
       "256                                    Remarks Line 10   \n",
       "12                                     Remarks Line 11   \n",
       "122                                    Remarks Line 12   \n",
       "36                                     Remarks Line 13   \n",
       "324                                    Remarks Line 14   \n",
       "286                                    Remarks Line 15   \n",
       "103                                    Remarks Line 16   \n",
       "97                                     Remarks Line 17   \n",
       "317                                     Remarks Line 2   \n",
       "224                                     Remarks Line 3   \n",
       "158                                     Remarks Line 4   \n",
       "223                                     Remarks Line 5   \n",
       "276                                     Remarks Line 6   \n",
       "151                                     Remarks Line 7   \n",
       "301                                     Remarks Line 9   \n",
       "173                                              Range   \n",
       "181                                        Firing Rate   \n",
       "84                 Reference Calibrator Outer Diameter   \n",
       "91                       Reference Calibrator Standoff   \n",
       "9                       Reference Calibrator Thickness   \n",
       "99                     Requested Perforation Intervals   \n",
       "316                            Requested Sample Depths   \n",
       "233                           Requested Sample Remarks   \n",
       "423                     Density of the Formation Fluid   \n",
       "204                                           Rig Name   \n",
       "152                                           Rig Type   \n",
       "327  Range/Blank Label, used with the RANG paramete...   \n",
       "238                   Reference Log Date (dd-MMM-yyyy)   \n",
       "60                                  Reference Log Name   \n",
       "291                           Reference Log Run Number   \n",
       "282      Resistivity of Mud at Bottom Hole Temperature   \n",
       "307                     Resistivity of Mud Cake Sample   \n",
       "76   Resistivity of Mud Filtrate At Bottom Hole Tem...   \n",
       "17                  Resistivity of Mud Filtrate Sample   \n",
       "209                          Resistivity of Mud Sample   \n",
       "419                     Resistivity of Mud Sample (RM)   \n",
       "431                          Resistivity of Mud Sample   \n",
       "421                   Resistivity of Mud Sample (SRTX)   \n",
       "83                      Density of Mud Filtrate Sample   \n",
       "376                                 Run Remark Line 10   \n",
       "375                                  Run Remark Line 2   \n",
       "378                                  Run Remark Line 3   \n",
       "374                                  Run Remark Line 4   \n",
       "373                                  Run Remark Line 5   \n",
       "382                                  Run Remark Line 6   \n",
       "377                                  Run Remark Line 7   \n",
       "379                                  Run Remark Line 8   \n",
       "380                                  Run Remark Line 9   \n",
       "391                      Real-Time Surface Temperature   \n",
       "427                             Real-Time Mud Salinity   \n",
       "120                            Rig Up Length at Bottom   \n",
       "25                            Rig Up Length at Surface   \n",
       "336                                         Run Number   \n",
       "442                                      Pipe Rugosity   \n",
       "16                           Connate Water Resistivity   \n",
       "189                             Free Water Resistivity   \n",
       "228                           Water Sample Resistivity   \n",
       "161                              Enable Sag Correction   \n",
       "30                            Cable Stretch Correction   \n",
       "219  Number of Vertical Samples used for Micro-debo...   \n",
       "81                               Switch Down Threshold   \n",
       "341  Acoustic Impedance STD Horizontal Threshold fo...   \n",
       "342  Acoustic Impedance STD Vertical Threshold for ...   \n",
       "354                                        Water Depth   \n",
       "166                                            Section   \n",
       "428                           HILT Saturation Exponent   \n",
       "35                  Sonic Formation Attenuation Factor   \n",
       "18   Slowness Formation Type (Fast, Intermediate, S...   \n",
       "119                                Sliding Gate Status   \n",
       "218                        Selectable Acquisition Gain   \n",
       "271                       Sliding Gate Closing Delta-T   \n",
       "287                         Sliding Gate Closing Width   \n",
       "23                                Sliding Gate Delta-T   \n",
       "319                             Solution Gas Oil Ratio   \n",
       "64                                  Sliding Gate Width   \n",
       "26                            Surface Hole Temperature   \n",
       "411                      Surface Hole Temperature (RM)   \n",
       "69   State/Province Label, used with the STAT param...   \n",
       "326                               Signal Level for AGC   \n",
       "332            Standoff Distance of the Gamma Ray Tool   \n",
       "143                               Service Order Number   \n",
       "2                                       Shots per Foot   \n",
       "443                             Sonic Porosity Formula   \n",
       "27                               Sonic Porosity Source   \n",
       "235            Start date when the well drilling began   \n",
       "108                                  State or Province   \n",
       "100                Subsequent Trip Down Log Correction   \n",
       "412                                Surface Temperature   \n",
       "343                                      USIT Sub type   \n",
       "310                                Switch Up Threshold   \n",
       "138                                       Tubing Depth   \n",
       "387                           Time Circulation Stopped   \n",
       "148                               T^3 Processing Level   \n",
       "250                               Total Measured Depth   \n",
       "370                                Driller Total Depth   \n",
       "371                                 Logger Total Depth   \n",
       "468  Calibration coefficient gain used for Tension ...   \n",
       "469  Calibration coefficient offset used for Tensio...   \n",
       "470     Calibration Peak Error Used for Tension Device   \n",
       "471         Calibration Points Used for Tension Device   \n",
       "472  Calibration Root Mean Square Error Used for Te...   \n",
       "406                                   Total Depth (RM)   \n",
       "164        Tests and Diagnostics Tasks Tolerance Level   \n",
       "420                                     Fluid velocity   \n",
       "290   Maximum Search Thickness (percentage of nominal)   \n",
       "111   Minimum Search Thickness (percentage of nominal)   \n",
       "283                         Thickness Detection Policy   \n",
       "372                        Nominal Thickness of Casing   \n",
       "388                              Time Logger At Bottom   \n",
       "243                                   Top Log Interval   \n",
       "269  Township or Longitude Label for Log Heading, u...   \n",
       "444                                        Type of Mud   \n",
       "351                       Tension Device Serial Number   \n",
       "278                                Tool or tool string   \n",
       "445                                    Tool Object Map   \n",
       "446                                    Tool Object Map   \n",
       "447                                    Tool Object Map   \n",
       "448                                    Tool Object Map   \n",
       "88                          Total Azimuthal Correction   \n",
       "258                                           Township   \n",
       "162              Tool Position: Centered or Eccentered   \n",
       "338                                True Vertical Depth   \n",
       "127                          Connate Water Temperature   \n",
       "416                   Temperature of Water Sample (RM)   \n",
       "349               USIC Downhole Decimation for T5 only   \n",
       "344                                  Logging Objective   \n",
       "345                    USIT Measurement Angular Offset   \n",
       "208                               Modulation Frequency   \n",
       "346                                   Emission Pattern   \n",
       "297                      Ultrasonic Sampling Frequency   \n",
       "347                                   USIT Time Offset   \n",
       "348                                USIT Sub Identifier   \n",
       "146                             Unique Well Identifier   \n",
       "350                                       Working Mode   \n",
       "61           Ultrasonic Transversal Velocity in Casing   \n",
       "308                                    VDL Manual Gain   \n",
       "275                             Cumulative Hole Volume   \n",
       "156     Volume fraction of dry clay composed of Illite   \n",
       "392                Viscosity of Oil Based Mud Filtrate   \n",
       "110  Volume fraction of dry clay composed of Kaolinite   \n",
       "186  Volume fraction of dry clay composed of Montmo...   \n",
       "174                                Vertical Resolution   \n",
       "154                             Water Downhole Density   \n",
       "68                                         Water Depth   \n",
       "465                                 Wheel Correction 1   \n",
       "466                                 Wheel Correction 2   \n",
       "306                                  Window Begin Time   \n",
       "260                                    Window End Time   \n",
       "10                               T^3 Processing Length   \n",
       "15                                Waveform Firing Mode   \n",
       "407                              Weight of Mud for CET   \n",
       "413                                      Weight of Mud   \n",
       "212                                          Well Name   \n",
       "56                                      Water Salinity   \n",
       "400                                     Water Salinity   \n",
       "114                                    Water Viscosity   \n",
       "268                       Acoustic Impedance of Casing   \n",
       "28                        Acoustic Impedance of Cement   \n",
       "328               Initial Estimate of Cement Impedance   \n",
       "236                          Acoustic Impedance of Mud   \n",
       "19                Tool Zero Reference Check at Surface   \n",
       "255            Acoustic Impedance Threshold for Cement   \n",
       "202               Acoustic Impedance Threshold for Gas   \n",
       "\n",
       "                                              Value(s)      Units  \n",
       "193                                              [1.0]             \n",
       "335                                          [-999.25]        ohm  \n",
       "285                                              [Off]             \n",
       "339                                              [-12]         dB  \n",
       "340                                               [40]         dB  \n",
       "11                                                  []             \n",
       "289                               [110.30000305175781]        deg  \n",
       "217                                            [180.0]         us  \n",
       "266                               [54.900001525878906]          m  \n",
       "54                                                  []             \n",
       "262                                           [1013.0]       mbar  \n",
       "405                                             [20.0]       degC  \n",
       "247                                          [-999.25]        ohm  \n",
       "29                                                [NO]             \n",
       "59                                                  []             \n",
       "86                                           [-999.25]          m  \n",
       "263                                                 []             \n",
       "72                                                [ON]             \n",
       "63                                           [-999.25]             \n",
       "94                                               [0.0]    kgf/kgf  \n",
       "279                                              [0.0]          %  \n",
       "95                                              [OPEN]             \n",
       "124                                            [100.0]       degC  \n",
       "429                                            [100.0]       degC  \n",
       "248                                [0.800000011920929]             \n",
       "147                                           [3185.0]          m  \n",
       "273                                          [-999.25]             \n",
       "116                                          [-999.25]        psi  \n",
       "299                                          [-999.25]       degC  \n",
       "355                                            [12.25]         in  \n",
       "334                                              [0.0]        ppm  \n",
       "417                                              [0.0]        ppm  \n",
       "356                                           [2573.0]          m  \n",
       "357                                           [3205.0]          m  \n",
       "135                     [Measured Resistivity (GEN-9)]             \n",
       "109                                          [-999.25]             \n",
       "358                                           [3200.0]          m  \n",
       "459                                         [7-46 PXS]             \n",
       "460                                      [28-May-2013]             \n",
       "461                                      [04-Jun-2013]             \n",
       "462                                               [32]             \n",
       "463                                             [1115]             \n",
       "359                                             [P110]             \n",
       "165                                                 []             \n",
       "360                                           [3200.0]          m  \n",
       "239                                             [45.0]         us  \n",
       "361                                           [3200.0]          m  \n",
       "75                                              [53.0]         mV  \n",
       "205                                              [3.0]             \n",
       "331                                              [2.0]      g/cm3  \n",
       "362                                            [600.0]          m  \n",
       "363                                            [9.625]         in  \n",
       "87                                             [100.0]      us/ft  \n",
       "364                                             [P110]             \n",
       "267                                          [County:]             \n",
       "82                                 [0.678943395614624]             \n",
       "410                                              [0.0]        ppm  \n",
       "150                                   [Regular Cement]             \n",
       "314                                          [Statoil]             \n",
       "213                                                 []             \n",
       "254                                           [Europe]             \n",
       "320                                         [Wireline]             \n",
       "215                                                 []             \n",
       "134                                                 []             \n",
       "365                              [0.07961677014827728]      g/cm3  \n",
       "366                                 [8.54683780670166]         in  \n",
       "367                                            [9.625]         in  \n",
       "210                                               [No]             \n",
       "57                              [0.007251886650919914]  1E-6 1/Pa  \n",
       "368                               [53.499996185302734]     lbm/ft  \n",
       "369                                         [110000.0]        psi  \n",
       "321                                             [CCLU]             \n",
       "296                                               [12]             \n",
       "31                                                [24]             \n",
       "337                                                [0]             \n",
       "277                                               [No]             \n",
       "8                                                 [24]             \n",
       "240                                              [Yes]             \n",
       "90                                                [50]             \n",
       "176                                              [600]             \n",
       "383                                      [05-Jun-2013]             \n",
       "178                                      [04-Jun-2013]             \n",
       "292                                      [05-Jun-2013]             \n",
       "384                                                 []             \n",
       "192                                         [REALTIME]             \n",
       "313                                               [NO]             \n",
       "294                                          [-999.25]        ohm  \n",
       "70                                               [0.0]         us  \n",
       "159                                            [300.0]         nT  \n",
       "197                             [0.024516625329852104]       m/s2  \n",
       "322                              [0.44999998807907104]        deg  \n",
       "194                                            [300.0]         nT  \n",
       "185                             [0.024516625329852104]       m/s2  \n",
       "309                              [0.44999998807907104]        deg  \n",
       "222  [Schlumberger depth control procedure is follo...             \n",
       "190  [IDW is used as primary depth control device a...             \n",
       "102                                                 []             \n",
       "121                                                 []             \n",
       "125                                                 []             \n",
       "180                                                 []             \n",
       "199                        [Schlumberger Depth System]             \n",
       "318                                               [E1]             \n",
       "71                                [1.2799999713897705]      g/cm3  \n",
       "201                                          [-999.25]          V  \n",
       "281                                          [-999.25]        cm3  \n",
       "311                                          [-999.25]             \n",
       "432                                              [OIL]             \n",
       "244                                          [-999.25]             \n",
       "144                                          [-999.25]          s  \n",
       "396                               [232.99998474121094]      us/ft  \n",
       "246                                          [-999.25]             \n",
       "304                                          [-999.25]        deg  \n",
       "385                                      [05-Jun-2013]             \n",
       "187                                                [0]             \n",
       "211                                          [-999.25]          m  \n",
       "353                                               [DF]             \n",
       "261                                      [04-Jun-2013]             \n",
       "323                                [4.874000072479248]         in  \n",
       "137                                          [-999.25]             \n",
       "14                                              [10.0]         us  \n",
       "155                                                 []             \n",
       "168                                             [FULL]             \n",
       "34                                             [189.0]      us/ft  \n",
       "133                                              [536]             \n",
       "200                                             [56.0]      us/ft  \n",
       "253                               [232.99998474121094]      us/ft  \n",
       "408                               [232.99998474121094]      us/ft  \n",
       "403                               [232.99998474121094]      us/ft  \n",
       "214                                              [250]             \n",
       "105                                          [-999.25]        deg  \n",
       "257                                          [-999.25]          m  \n",
       "303                               [54.900001525878906]          m  \n",
       "24                                           [-999.25]         nT  \n",
       "170                                            [-91.0]          m  \n",
       "55                                           [-999.25]          m  \n",
       "179                               [54.900001525878906]          m  \n",
       "234                                               [90]          V  \n",
       "38                                                [No]             \n",
       "39                                                [No]             \n",
       "40                                               [Yes]             \n",
       "50                                               [Yes]             \n",
       "41                                               [Yes]             \n",
       "42                                               [Yes]             \n",
       "43                                                [No]             \n",
       "49                                               [Yes]             \n",
       "44                                                [No]             \n",
       "48                                               [Yes]             \n",
       "47                                                [No]             \n",
       "45                                               [Yes]             \n",
       "46                                                [No]             \n",
       "280                                              [0.0]          m  \n",
       "464                                           [IDW-JA]             \n",
       "457                                         [7-46P-XS]             \n",
       "467                                         [CMTD-B/A]             \n",
       "198                               [54.900001525878906]          m  \n",
       "333                                              [0.0]       dB/m  \n",
       "227                                          [-999.25]         in  \n",
       "118                                              [1.0]             \n",
       "0                                                [1.0]      g/cm3  \n",
       "404                                              [2.0]             \n",
       "1                                                [0.5]      mPa.s  \n",
       "136                                        [North Sea]             \n",
       "112                                 [Norwegian Sector]             \n",
       "272                                                 []             \n",
       "426                               [1.2799999713897705]      g/cm3  \n",
       "67                                [2.4384000301361084]          m  \n",
       "183                                            [Volve]             \n",
       "422                                              [1.0]             \n",
       "433                                              [PHI]             \n",
       "225                                              [0.0]        ppm  \n",
       "418                               [232.99998474121094]      us/ft  \n",
       "434                                               [BS]             \n",
       "115                              [0.10000000149011612]      g/cm3  \n",
       "394                              [0.10000000149011612]      g/cm3  \n",
       "98                                               [0.0]        deg  \n",
       "252                                             [BGGM]             \n",
       "167                                          [-999.25]      g/cm3  \n",
       "195                                [18.22688865661621]    degC/km  \n",
       "330                                [71.67223358154297]        deg  \n",
       "325                                 [9.81800651550293]       m/s2  \n",
       "251                                   [50490.58203125]         nT  \n",
       "229                                [6.259347438812256]         mV  \n",
       "305                                          [-999.25]      m3/m3  \n",
       "401                                          [-999.25]      m3/m3  \n",
       "66                                               [3.0]             \n",
       "203                                              [3.0]             \n",
       "284                             [0.019999999552965164]       m/s2  \n",
       "395                                [18.22688865661621]    degC/km  \n",
       "302                                              [0.0]        deg  \n",
       "435                                             [GEN9]             \n",
       "52                                               [1.0]             \n",
       "436                                             [TEMP]             \n",
       "85                              [0.019999999552965164]      mPa.s  \n",
       "126                                            [SAD69]             \n",
       "450                                                 []             \n",
       "451                                                 []             \n",
       "449                                            [Volve]             \n",
       "74                                               [1.0]             \n",
       "397                              [0.10000000149011612]      g/cm3  \n",
       "232                                            [5 deg]             \n",
       "231                                      [Calibration]             \n",
       "230                                      [Calibration]             \n",
       "131                                          [-999.25]             \n",
       "130                                              [1.0]             \n",
       "113                               [1014.0399169921875]        lbf  \n",
       "21                                               [0.0]        lbf  \n",
       "22                                               [0.0]        lbf  \n",
       "145                                              [0.0]        lbf  \n",
       "437                                               [BS]             \n",
       "175                                          [-999.25]             \n",
       "65                                             [START]             \n",
       "409                                          [-999.25]         m3  \n",
       "438                                         [NOBARITE]             \n",
       "188                                               [DT]             \n",
       "129                                        [USIT 9_58]             \n",
       "393                                              [0.0]          %  \n",
       "265                               [58.441654205322266]        deg  \n",
       "220                                 [58° 26' 29.96\" N]             \n",
       "5                                                [440]             \n",
       "226                                     [Schlumberger]             \n",
       "458                                  [7315.2001953125]          m  \n",
       "352                                          [F711165]             \n",
       "172                                          [Section]             \n",
       "221                                               [DF]             \n",
       "182                                                 []             \n",
       "389                                        [North Sea]             \n",
       "300                                 [9.81800651550293]       m/s2  \n",
       "13                                   [Subsequent trip]             \n",
       "329                                                 []             \n",
       "107                                [1.887463927268982]        deg  \n",
       "274                                  [1° 53' 14.87\" E]             \n",
       "177                                                 []             \n",
       "104                                             [NOBO]             \n",
       "312                                      [ONCC A 3815]             \n",
       "241                                              [2.0]             \n",
       "163                                              [120]             \n",
       "237                                                [0]             \n",
       "439                                             [LIME]             \n",
       "298                               [23.392528533935547]       dB/m  \n",
       "141                                [1097.280029296875]        m/h  \n",
       "78                                  [2057.39990234375]        m/h  \n",
       "79                                 [1097.280029296875]        m/h  \n",
       "80                                [1371.5999755859375]        m/h  \n",
       "245                                [4.515231132507324]          m  \n",
       "249                                          [Pressed]             \n",
       "33                                              [20.0]       degC  \n",
       "4                                [-1.1452460289001465]        deg  \n",
       "3                                [-1.1452460289001465]        deg  \n",
       "440                               [2.7100000381469727]      g/cm3  \n",
       "288                               [0.5049058198928833]         Oe  \n",
       "89                                                  []             \n",
       "37                                              [20.0]       degC  \n",
       "53                                  [64.4000015258789]        deg  \n",
       "196                                [71.67223358154297]        deg  \n",
       "242                                              [100]             \n",
       "6                                                [CBL]             \n",
       "425                                            [500.0]      ohm.m  \n",
       "51                                           [-999.25]       degC  \n",
       "7                                            [-999.25]       degC  \n",
       "184                                          [-999.25]       degC  \n",
       "32                                           [-999.25]       degC  \n",
       "160                                [3.669377088546753]         mV  \n",
       "157                                      [Active Tank]             \n",
       "169                                             [20.0]       degC  \n",
       "424                                             [20.0]       degC  \n",
       "191                                              [1.0]          s  \n",
       "399                               [1.2799999713897705]      g/cm3  \n",
       "414                               [1.2799999713897705]      g/cm3  \n",
       "20                                               [2.0]             \n",
       "73                                            [Norway]             \n",
       "293                                              [344]         us  \n",
       "149                                             [1026]         us  \n",
       "117                                                [0]             \n",
       "93                                               [120]             \n",
       "315                                                [2]             \n",
       "171                                               [72]             \n",
       "441                                              [YES]             \n",
       "101                                [0.800000011920929]      g/cm3  \n",
       "415                                [0.800000011920929]      g/cm3  \n",
       "207                                          [-999.25]      g/cm3  \n",
       "123                                             [15/9]             \n",
       "140                                          [-999.25]       dAPI  \n",
       "430                                          [-999.25]       dAPI  \n",
       "402                                      [Active Tank]             \n",
       "398                                      [Active Tank]             \n",
       "153                                                 []       None  \n",
       "264                                             [OPT2]             \n",
       "452                                                 []             \n",
       "453                                                 []             \n",
       "454                                                 []             \n",
       "455                                                 []             \n",
       "456                                                 []             \n",
       "58                                                 [0]             \n",
       "270                                                [0]             \n",
       "106                                                [0]             \n",
       "96                                                 [0]             \n",
       "216                                              [1.0]      mPa.s  \n",
       "92                                           [-999.25]         in  \n",
       "128                                          [-999.25]         in  \n",
       "62                                               [MSL]             \n",
       "259                              [0.20000000298023224]      m3/m3  \n",
       "295                                          [-999.25]         in  \n",
       "390                                              [0.0]          %  \n",
       "142  [<ProductModificationTrace Version=\"0.1\"><Oper...             \n",
       "386                                         [20C0-999]             \n",
       "132                                                 []             \n",
       "256  [Log objectives: To verify good cement behind ...             \n",
       "12   [USIT Resolution for both main and repeat pass...             \n",
       "122  [Tool ran as per toolsketch centralized with 5...             \n",
       "36   [CBL firing was 15 Hz. Free pipe normalization...             \n",
       "324  [Theoretical Z mud was used with  K factor: 0....             \n",
       "286  [Well is filled with OBM Environmul 1.28 SG. W...             \n",
       "103  [The images have been rotated such that the ce...             \n",
       "97                                                  []             \n",
       "317                                                 []             \n",
       "224                                                 []             \n",
       "158                                                 []             \n",
       "223                                                 []             \n",
       "276                                                 []             \n",
       "151                                                 []             \n",
       "301  [Correlated main pass at pup joint at 3154.53 ...             \n",
       "173                                                 []             \n",
       "181                                              [R15]             \n",
       "84                                               [7.0]         in  \n",
       "91                                [1.3779499530792236]         in  \n",
       "9                                  [0.295199990272522]         in  \n",
       "99                                       [[[-999.25]]]          m  \n",
       "316                                          [-999.25]          m  \n",
       "233                                                 []             \n",
       "423                                              [1.0]      g/cm3  \n",
       "204                                  [Maersk Inspirer]             \n",
       "152                                      [Jack Up rig]             \n",
       "327                                            [Range]             \n",
       "238                                                 []             \n",
       "60                                                  []             \n",
       "291                                                 []             \n",
       "282                               [170.88723754882812]      ohm.m  \n",
       "307                                          [-999.25]      ohm.m  \n",
       "76                                [128.16542053222656]      ohm.m  \n",
       "17                                             [375.0]      ohm.m  \n",
       "209                                            [500.0]      ohm.m  \n",
       "419                                            [500.0]      ohm.m  \n",
       "431                                            [500.0]      ohm.m  \n",
       "421                                            [500.0]      ohm.m  \n",
       "83                                               [1.0]      g/cm3  \n",
       "376                                                 []             \n",
       "375  [Correlated main pass at pup joint at 3154.53 ...             \n",
       "378  [Log objectives: To verify good cement behind ...             \n",
       "374  [USIT Resolution for both main and repeat pass...             \n",
       "373  [Tool ran as per toolsketch centralized with 5...             \n",
       "382  [CBL firing was 15 Hz. Free pipe normalization...             \n",
       "377  [Theoretical Z mud was used with  K factor: 0....             \n",
       "379  [Well is filled with OBM Environmul 1.28 SG. W...             \n",
       "380  [The images have been rotated such that the ce...             \n",
       "391                                             [20.0]       degC  \n",
       "427                                              [0.0]        ppm  \n",
       "120                                          [-999.25]          m  \n",
       "25                                           [-999.25]          m  \n",
       "336                                                [1]             \n",
       "442                           [0.00014986000314820558]          m  \n",
       "16                                               [1.0]      ohm.m  \n",
       "189                                              [1.0]      ohm.m  \n",
       "228                                              [1.0]      ohm.m  \n",
       "161                                                [0]             \n",
       "30                                           [-999.25]          m  \n",
       "219                                                [5]             \n",
       "81                                             [20000]             \n",
       "341                                              [0.5]             \n",
       "342                              [0.30000001192092896]             \n",
       "354                                             [91.0]          m  \n",
       "166                                                 []             \n",
       "428                                              [2.0]             \n",
       "35                                [10.662729263305664]       dB/m  \n",
       "18                                      [Intermediate]             \n",
       "119                                              [OFF]             \n",
       "218                                               [1X]             \n",
       "271                                              [130]      us/ft  \n",
       "287                                               [25]         us  \n",
       "23                                                [57]      us/ft  \n",
       "319                                          [-999.25]      m3/m3  \n",
       "64                                               [110]         us  \n",
       "26                                              [20.0]       degC  \n",
       "411                                             [20.0]       degC  \n",
       "69                                            [State:]             \n",
       "326                                           [5000.0]         mV  \n",
       "332                                              [0.0]         in  \n",
       "143                                                 []             \n",
       "2                                                   []       None  \n",
       "443                                              [R_H]             \n",
       "27                                                [DT]             \n",
       "235                                                 []             \n",
       "108                                                 []             \n",
       "100                                          [-999.25]          m  \n",
       "412                                             [20.0]       degC  \n",
       "343                                            [10INC]             \n",
       "310                                             [1000]             \n",
       "138                                          [-999.25]          m  \n",
       "387                                                 []             \n",
       "148                                             [VXLP]             \n",
       "250                                           [3185.0]          m  \n",
       "370                                           [3205.0]          m  \n",
       "371                                           [3205.0]          m  \n",
       "468                               [0.8960000276565552]             \n",
       "469                                           [-104.0]             \n",
       "470                                             [72.0]             \n",
       "471                                               [10]             \n",
       "472                                             [32.0]             \n",
       "406                                           [3185.0]          m  \n",
       "164                                             [Shop]             \n",
       "420                                            [189.0]      us/ft  \n",
       "290                                            [130.0]          %  \n",
       "111                                             [70.0]          %  \n",
       "283                                      [Fundamental]             \n",
       "372                                [0.539080798625946]         in  \n",
       "388                                         [11:32:15]             \n",
       "243                                           [2500.0]          m  \n",
       "269                                         [Township]             \n",
       "444                                              [OBM]             \n",
       "351                                             [1412]             \n",
       "278                                                 []             \n",
       "445  [<ToolMaps><ToolMap><HN>DTC-H</HN><MN>DTC-H</M...             \n",
       "446  [olMap><ToolMap><HN>USIT-E</HN><MN>USIT</MN><I...             \n",
       "447  [N>TENSION_DEVICE</HN><MN>NONE</MN><InsNo>0</I...             \n",
       "448  [lMap><ToolMap><HN>LEH-QT</HN><MN>LEHQT</MN><I...             \n",
       "88                               [-1.1452460289001465]        deg  \n",
       "258                                                 []             \n",
       "162                                       [ECCENTERED]             \n",
       "338                                              [0.0]          m  \n",
       "127                                             [20.0]       degC  \n",
       "416                                             [20.0]       degC  \n",
       "349                                           [0_NONE]             \n",
       "344                                          [MEASURE]             \n",
       "345                                             [18.0]        deg  \n",
       "208                                         [333333.0]         Hz  \n",
       "346                                             [300K]             \n",
       "297                                         [500000.0]         Hz  \n",
       "347                                             [-2.0]         us  \n",
       "348                                            [10INC]             \n",
       "146                                      [15/9-F-11 B]             \n",
       "350                                         [D606005L]             \n",
       "61                                [51.400001525878906]      us/ft  \n",
       "308                                              [5.0]             \n",
       "275                                          [-999.25]         m3  \n",
       "156                                          [-999.25]             \n",
       "392                                              [1.0]      mPa.s  \n",
       "110                                          [-999.25]             \n",
       "186                                          [-999.25]             \n",
       "174                                          [6.0INCH]             \n",
       "154                                              [1.0]      g/cm3  \n",
       "68                                              [91.0]          m  \n",
       "465                                             [-2.0]             \n",
       "466                                             [-4.0]             \n",
       "306                                [53.79532241821289]         us  \n",
       "260                                [120.3934326171875]         us  \n",
       "10                                 [32.32666778564453]         us  \n",
       "15                                              [FULL]             \n",
       "407                               [1.2799999713897705]      g/cm3  \n",
       "413                               [1.2799999713897705]      g/cm3  \n",
       "212                                      [15/9-F-11 B]             \n",
       "56                                           [-999.25]        ppm  \n",
       "400                                          [-999.25]        ppm  \n",
       "114                                              [0.5]      mPa.s  \n",
       "268                                            [46.25]      Mrayl  \n",
       "28                                 [5.599999904632568]      Mrayl  \n",
       "328                                             [-1.0]      Mrayl  \n",
       "236                                [1.590000033378601]      Mrayl  \n",
       "19                                           [-999.25]          m  \n",
       "255                               [2.5999999046325684]      Mrayl  \n",
       "202                              [0.30000001192092896]      Mrayl  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "parameter_table = summarize(f.parameters, name='Name', long_name='Long name', values='Value(s)')\n",
    "\n",
    "# Hide parameters containing names; see the privacy note in the Introduction. Comment out these lines to show them.\n",
    "mask = ~parameter_table['Name'].isin(['R8', 'RR1', 'WITN', 'ENGI'])\n",
    "parameter_table = parameter_table[mask]\n",
    "\n",
    "# Add units through the temporary units interface\n",
    "units_column = []\n",
    "for i, par in enumerate(f.parameters):\n",
    "    if i not in parameter_table.index: continue\n",
    "    try:\n",
    "        units_column.append(par.attic['VALUES'].units)\n",
    "    except KeyError:\n",
    "        units_column.append(None)\n",
    "parameter_table['Units'] = units_column\n",
    "\n",
    "parameter_table.sort_values('Name')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Some of these parameters give a description of the the logged well and the logging run:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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></th>\n",
       "      <th>Name</th>\n",
       "      <th>Long name</th>\n",
       "      <th>Value(s)</th>\n",
       "      <th>Units</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>CN</td>\n",
       "      <td>Company Name</td>\n",
       "      <td>[Statoil]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>WN</td>\n",
       "      <td>Well Name</td>\n",
       "      <td>[15/9-F-11 B]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>FN</td>\n",
       "      <td>Field Name</td>\n",
       "      <td>[Volve]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>NATI</td>\n",
       "      <td>Nation</td>\n",
       "      <td>[Norway]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>CONT</td>\n",
       "      <td>Continent</td>\n",
       "      <td>[Europe]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>FL</td>\n",
       "      <td>Field Location</td>\n",
       "      <td>[North Sea]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>FL1</td>\n",
       "      <td>Field Location, Line 1</td>\n",
       "      <td>[Norwegian Sector]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>FL2</td>\n",
       "      <td>Field Location, Line 2</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>LONG</td>\n",
       "      <td>Longitude</td>\n",
       "      <td>[1° 53' 14.87\" E]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>LATI</td>\n",
       "      <td>Latitude</td>\n",
       "      <td>[58° 26' 29.96\" N]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>DLAB</td>\n",
       "      <td>Date Logger At Bottom</td>\n",
       "      <td>[05-Jun-2013]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>TLAB</td>\n",
       "      <td>Time Logger At Bottom</td>\n",
       "      <td>[11:32:15]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367</th>\n",
       "      <td>CSIZ</td>\n",
       "      <td>Current Casing Size</td>\n",
       "      <td>[9.625]</td>\n",
       "      <td>in</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>THNO</td>\n",
       "      <td>Nominal Thickness of Casing</td>\n",
       "      <td>[0.539080798625946]</td>\n",
       "      <td>in</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>BS</td>\n",
       "      <td>Bit Size</td>\n",
       "      <td>[12.25]</td>\n",
       "      <td>in</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Name                    Long name             Value(s) Units\n",
       "314    CN                 Company Name            [Statoil]      \n",
       "212    WN                    Well Name        [15/9-F-11 B]      \n",
       "183    FN                   Field Name              [Volve]      \n",
       "73   NATI                       Nation             [Norway]      \n",
       "254  CONT                    Continent             [Europe]      \n",
       "136    FL               Field Location          [North Sea]      \n",
       "112   FL1       Field Location, Line 1   [Norwegian Sector]      \n",
       "272   FL2       Field Location, Line 2                   []      \n",
       "274  LONG                    Longitude    [1° 53' 14.87\" E]      \n",
       "220  LATI                     Latitude   [58° 26' 29.96\" N]      \n",
       "385  DLAB        Date Logger At Bottom        [05-Jun-2013]      \n",
       "388  TLAB        Time Logger At Bottom           [11:32:15]      \n",
       "367  CSIZ          Current Casing Size              [9.625]    in\n",
       "372  THNO  Nominal Thickness of Casing  [0.539080798625946]    in\n",
       "355    BS                     Bit Size              [12.25]    in"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "desc_parameters = ['CN', 'WN', 'FN',                                     # Well ID\n",
    "                   'NATI', 'CONT', 'FL', 'FL1', 'FL2', 'LONG', 'LATI',   # Well location\n",
    "                   'DLAB', 'TLAB',                                       # Time and date of well logging\n",
    "                   'CSIZ', 'THNO', 'BS']                                 # Casing and well parameters\n",
    "\n",
    "# Create a table out of the parameters in desc_parameters\n",
    "desc_table = parameter_table.loc[parameter_table['Name'].isin(desc_parameters)].copy()\n",
    "\n",
    "# Sort the table in the same order as desc_parameters\n",
    "categorical_sorter = pd.Categorical(desc_parameters, desc_parameters, ordered=True)\n",
    "desc_table['Name'] = desc_table['Name'].astype(categorical_sorter.dtype)\n",
    "desc_table.sort_values(by='Name', inplace=True)\n",
    "\n",
    "display(desc_table)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The file also contains a series of remarks describing the logging run in the parameters R1 to R17. We can easily retrieve all of them using a regular expression to find all parameters where the name is R followed by one or two digits:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R1: \n",
      "R2: \n",
      "R3: \n",
      "R4: \n",
      "R5: \n",
      "R6: \n",
      "R7: \n",
      "R9: Correlated main pass at pup joint at 3154.53 mMD\n",
      "R10: Log objectives: To verify good cement behind 9 5/8 in casing 53.5 ppf P110. (Nominal ID: 8.547 in)\n",
      "R11: USIT Resolution for both main and repeat pass is 5 deg 6 in with Speed 2000 fph.\n",
      "R12: Tool ran as per toolsketch centralized with 5 GEMCOS (OD: 8.8 in) and 2 built in USIS Centralizers\n",
      "R13: CBL firing was 15 Hz. Free pipe normalization is adjusted at 2453.7 mMD with CBAF value 1.03. Top of cement observed at 2680 mMD\n",
      "R14: Theoretical Z mud was used with  K factor: 0.95; FVEL: 233 us/ft and Z mud: 1.59 Mrayl\n",
      "R15: Well is filled with OBM Environmul 1.28 SG. Well is cemented with standard Class G Cement with ZCMT 5.6 MRayl\n",
      "R16: The images have been rotated such that the centre of each image track represents the low side of tubular\n",
      "R17: \n"
     ]
    }
   ],
   "source": [
    "remarks = f.find('PARAMETER', '^R[0-9]{1,2}')\n",
    "remarks = sorted(remarks, key=lambda x: int(x.name[1:]) )\n",
    "\n",
    "for remark in remarks:\n",
    "    #if not remark.values: continue    # Uncomment to skip empty remarks\n",
    "    if remark.name == 'R8': continue   # Hide a remark containing a name; comment out the line to show the remark\n",
    "    print(f'{remark.name}: {\" \".join(remark.values)}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Explore frames\n",
    "\n",
    "The majority of a DLIS file is typically made up of measurement data taken along the well bore, or computed data based on such measurements. This data is stored in channels, which we will get to soon, and channels are organised in frames, which dlisio exposes as [Frame objects](https://dlisio.readthedocs.io/en/latest/dlis/api.html#dlis-frame). All of the channels in one frame are indexed against the same reference channel, which typically specifies the time or depth of each measurement."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Frame 60B:\n",
      "Description      : DOMAIN_DEPTH\n",
      "Indexed by       : BOREHOLE-DEPTH\n",
      "Interval         : [974340.0, 1253940.0] 0.1 in\n",
      "Direction        : DECREASING\n",
      "Constant spacing : -60.0 0.1 in\n",
      "Index channel    : Channel(TDEP)\n",
      "No. of channels  : 289\n",
      "\n",
      "Frame 10B:\n",
      "Description      : DOMAIN_DEPTH\n",
      "Indexed by       : BOREHOLE-DEPTH\n",
      "Interval         : [974790.0, 1253910.0] 0.1 in\n",
      "Direction        : DECREASING\n",
      "Constant spacing : -10.0 0.1 in\n",
      "Index channel    : Channel(TDEP)\n",
      "No. of channels  : 7\n",
      "\n",
      "Frame 20B:\n",
      "Description      : DOMAIN_DEPTH\n",
      "Indexed by       : BOREHOLE-DEPTH\n",
      "Interval         : [976060.0, 1250960.0] 0.1 in\n",
      "Direction        : DECREASING\n",
      "Constant spacing : -20.0 0.1 in\n",
      "Index channel    : Channel(TDEP)\n",
      "No. of channels  : 14\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for frame in f.frames:\n",
    "    index_channel = next(ch for ch in frame.channels if ch.name == frame.index)\n",
    "    print(f'Frame {frame.name}:')\n",
    "    print(f'Description      : {frame.description}')\n",
    "    print(f'Indexed by       : {frame.index_type}')\n",
    "    print(f'Interval         : [{frame.index_min}, {frame.index_max}] {index_channel.units}')\n",
    "    print(f'Direction        : {frame.direction}')\n",
    "    print(f'Constant spacing : {frame.spacing} {index_channel.units}')\n",
    "    print(f'Index channel    : {index_channel}')\n",
    "    print(f'No. of channels  : {len(frame.channels)}')\n",
    "    print()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that all of these frames are indexed by borehole depth. This is the depth measured along the length of the wellbore, also known as measured depth, and should not be confused with true vertical depth. Every frame has an index channel called `TDEP`, which is stored in units of 0.1&nbsp;in. We will later have to convert this to metres. Every frame is stored from the bottom of the well to the top. This is because the measurements were made by log tools starting at the bottom of the well and moving up."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Explore channels\n",
    "\n",
    "A channel is a sequence of measured or computed samples that are indexed against some physical quantity, e.g. depth or time, stored in the index channel of the frame that the channel belongs to. The DLIS standard supports multidimensional samples. Each sample can be a scalar or a multidimensional array. dlisio exposes channels as [Channel objects](https://dlisio.readthedocs.io/en/latest/dlis/api.html#dlis-channel).\n",
    "\n",
    "`f.channels` gives us a sequence of every channel present in the file. We can use the `summarize()` helper function again to make a list of all the channels in the file. Out of the attributes of dlisio Channel objects, we will compile `name`, `long_name`, `units`, `dimension`, and `frame`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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></th>\n",
       "      <th>Name</th>\n",
       "      <th>Long name</th>\n",
       "      <th>Units</th>\n",
       "      <th>Dimension</th>\n",
       "      <th>Frame</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AGMA</td>\n",
       "      <td>Maximum Allowed Electronic Gain</td>\n",
       "      <td>dB</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AGMI</td>\n",
       "      <td>Minimum Allowed Electronic Gain</td>\n",
       "      <td>dB</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>AIAV</td>\n",
       "      <td>Acoustic Impedance Average</td>\n",
       "      <td>Mrayl</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>AIAV_RF</td>\n",
       "      <td>Median of Unflagged Measured Impedance</td>\n",
       "      <td>Mrayl</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>AIBK</td>\n",
       "      <td>Acoustic Impedance</td>\n",
       "      <td>Mrayl</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>AIMN</td>\n",
       "      <td>Acoustic Impedance Minimum</td>\n",
       "      <td>Mrayl</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>AIMN_RF</td>\n",
       "      <td>Minimum of Unflagged Acoustic Impedance</td>\n",
       "      <td>Mrayl</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>AIMX</td>\n",
       "      <td>Acoustic Impedance Maximum</td>\n",
       "      <td>Mrayl</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>AIMX_RF</td>\n",
       "      <td>Maximum of Unflagged Acoustic Impedance</td>\n",
       "      <td>Mrayl</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>AI_MICRO_DEBONDING_IMAGE</td>\n",
       "      <td>Acoustic Impedance With Micro-debonding Image</td>\n",
       "      <td>Mrayl</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>AREA</td>\n",
       "      <td>Area of Borehole</td>\n",
       "      <td>in2</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>AWAV</td>\n",
       "      <td>Amplitude of Wave Average</td>\n",
       "      <td>dB</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>AWAV_RF</td>\n",
       "      <td>Average of Unflagged Wave Amplitude</td>\n",
       "      <td>dB</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>AWBK</td>\n",
       "      <td>Amplitude of Wave</td>\n",
       "      <td>dB</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>AWBK_RF</td>\n",
       "      <td>Unflagged Echo Amplitude minus median amplitude</td>\n",
       "      <td>dB</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>AWMN</td>\n",
       "      <td>Amplitude of Wave Minimum</td>\n",
       "      <td>dB</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>AWMN_RF</td>\n",
       "      <td>Minimum of Unflagged Wave Amplitude</td>\n",
       "      <td>dB</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>AWMX</td>\n",
       "      <td>Amplitude of Wave Maximum</td>\n",
       "      <td>dB</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>AWMX_RF</td>\n",
       "      <td>Maximum of Unflagged Wave Amplitude</td>\n",
       "      <td>dB</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>AZEC</td>\n",
       "      <td>Azimuth of Eccentering</td>\n",
       "      <td>deg</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>AZEC_EXT</td>\n",
       "      <td>Azimuth of External Eccentering</td>\n",
       "      <td>deg</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>AZEC_RF</td>\n",
       "      <td>Azimuth of Eccentering for Unflagged Waves</td>\n",
       "      <td>deg</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>AZIM</td>\n",
       "      <td>Measured Azimuth</td>\n",
       "      <td>deg</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>BHPR</td>\n",
       "      <td>Borehole Pressure</td>\n",
       "      <td>psi</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>BHRM</td>\n",
       "      <td>Borehole Mud Resistivity</td>\n",
       "      <td>ohm.m</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>BI</td>\n",
       "      <td>Bond Index</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>BPRE</td>\n",
       "      <td>Burst Pressure</td>\n",
       "      <td>psi</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>BS</td>\n",
       "      <td>Bit Size</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>CBL</td>\n",
       "      <td>CBL Amplitude</td>\n",
       "      <td>mV</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>CBLF</td>\n",
       "      <td>CBL Amplitude (Fluid Compensated)</td>\n",
       "      <td>mV</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>CBSL</td>\n",
       "      <td>CBL Amplitude (Sliding Gate)</td>\n",
       "      <td>mV</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>CCL</td>\n",
       "      <td>Casing Collar Locator Amplitude</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(10B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>CCLU</td>\n",
       "      <td>Casing Collar Locator Ultrasonic</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>CDF</td>\n",
       "      <td>Calibrated Downhole Force</td>\n",
       "      <td>lbf</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>CEMR</td>\n",
       "      <td>Ratio of Cement Measurements to Total</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>CFVL</td>\n",
       "      <td>Memorized Fluid Acoustic Slowness</td>\n",
       "      <td>us/ft</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>CMCG</td>\n",
       "      <td>CBL Cement Type Compensation Gain</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>CS</td>\n",
       "      <td>Cable Speed</td>\n",
       "      <td>m/h</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>CS</td>\n",
       "      <td>Cable Speed</td>\n",
       "      <td>m/h</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(10B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>CTEM</td>\n",
       "      <td>Cartridge Temperature</td>\n",
       "      <td>degC</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>CVEL</td>\n",
       "      <td>Cable Velocity</td>\n",
       "      <td>m/h</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>CVEL</td>\n",
       "      <td>Cable Velocity</td>\n",
       "      <td>m/h</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(10B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>CZMD</td>\n",
       "      <td>Acoustic Impedance of Mud</td>\n",
       "      <td>Mrayl</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>DCAL</td>\n",
       "      <td>Differential Caliper</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>DEPTH</td>\n",
       "      <td>Depth Index</td>\n",
       "      <td>m</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>DF</td>\n",
       "      <td>Uncalibrated Downhole Force</td>\n",
       "      <td>lbf</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>DLS</td>\n",
       "      <td>Dog Leg Severity</td>\n",
       "      <td>deg/30m</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>ECCE</td>\n",
       "      <td>Amplitude of Eccentering</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ECCEEXT_RF</td>\n",
       "      <td>Unflagged Data External Eccentering</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>ECCE_EXT</td>\n",
       "      <td>USIT External Eccentering</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>ECCE_RF</td>\n",
       "      <td>Amplitude of Eccentering for Unflagged Waves</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>ECGR</td>\n",
       "      <td>Environmentally Corrected Gamma Ray</td>\n",
       "      <td>gAPI</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>ED</td>\n",
       "      <td>East Departure</td>\n",
       "      <td>m</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>EHGR</td>\n",
       "      <td>High Resolution Corrected Gamma Ray</td>\n",
       "      <td>gAPI</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>ERAV</td>\n",
       "      <td>External Radii Average</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>ERAV_EXT</td>\n",
       "      <td>Average External Radius Corrected for External...</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>ERAV_RF</td>\n",
       "      <td>Median of External Radii for Unflagged Waves</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>ERBA_EXT</td>\n",
       "      <td>External Radii Corrected for External Eccenter...</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>ERBK</td>\n",
       "      <td>External Radii</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>ERBK_EXT</td>\n",
       "      <td>External Radii Corrected for External Eccentering</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>ERBN_EXT</td>\n",
       "      <td>External Radii Corrected for External Eccenter...</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>ERMN</td>\n",
       "      <td>External Radii Minimum</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>ERMN_EXT</td>\n",
       "      <td>Minimum External Radius Corrected for External...</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>ERMN_RF</td>\n",
       "      <td>Minimum of Unflagged External Radii</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>ERMX</td>\n",
       "      <td>External Radii Maximum</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>ERMX_EXT</td>\n",
       "      <td>Maximum External Radius Corrected for External...</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>ERMX_RF</td>\n",
       "      <td>Maximum of Unflagged External Radii</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>ERNO</td>\n",
       "      <td>Nominal Casing External Radius</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>FCCL</td>\n",
       "      <td>Casing Collar Pip</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(10B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>FCD</td>\n",
       "      <td>Future Casing Diameter</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>FF</td>\n",
       "      <td>Formation Factor</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>GASR</td>\n",
       "      <td>Ratio of Gas Measurements to Total</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>GHD</td>\n",
       "      <td>Borehole Diameter</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>GNMN</td>\n",
       "      <td>Waveform Gain Minimum</td>\n",
       "      <td>dB</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>GNMX</td>\n",
       "      <td>Waveform Gain Maximum</td>\n",
       "      <td>dB</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>GR</td>\n",
       "      <td>Gamma Ray</td>\n",
       "      <td>gAPI</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>GTEM</td>\n",
       "      <td>Generalized Borehole Temperature</td>\n",
       "      <td>degC</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>HDAR</td>\n",
       "      <td>Hole Diameter from Area</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>HGR</td>\n",
       "      <td>High Resolution Gamma Ray</td>\n",
       "      <td>gAPI</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>HRTT</td>\n",
       "      <td>Histogram of Raw Transit Time Index</td>\n",
       "      <td>us</td>\n",
       "      <td>[180]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>HV</td>\n",
       "      <td>Head Voltage</td>\n",
       "      <td>V</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>ICV</td>\n",
       "      <td>Integrated Cement Volume</td>\n",
       "      <td>m3</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>IDQC</td>\n",
       "      <td>Internal Diameter Quality Check</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>IDWD</td>\n",
       "      <td>Borehole depth as measured by the IDW (Integra...</td>\n",
       "      <td>m</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>IHV</td>\n",
       "      <td>Integrated Hole Volume</td>\n",
       "      <td>m3</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>INCL</td>\n",
       "      <td>Hole inclination</td>\n",
       "      <td>deg</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>IRAV</td>\n",
       "      <td>Internal Radius Averaged Value</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>IRAV_EXT</td>\n",
       "      <td>Average Internal Radius Corrected for External...</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>IRAV_RF</td>\n",
       "      <td>Median Internal Radius of Casing for Unflagged...</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>IRBK</td>\n",
       "      <td>Internal Radii Normalized</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>IRBK_EXT</td>\n",
       "      <td>Internal Radii Corrected for External Eccentering</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>IRBK_RF</td>\n",
       "      <td>Unflagged External Radii of Casing</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>IRMN</td>\n",
       "      <td>Internal Radius Minimum Value</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>IRMN_EXT</td>\n",
       "      <td>Minimum Internal Radius Corrected for External...</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>IRMN_RF</td>\n",
       "      <td>Minimum of Unflagged Internal Radii Corrected ...</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>IRMX</td>\n",
       "      <td>Internal Radius Maximum Value</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>IRMX_EXT</td>\n",
       "      <td>Maximum Internal Radius Corrected for External...</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>IRMX_RF</td>\n",
       "      <td>Maximum of Unflagged Internal Radii Corrected ...</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>IRNO</td>\n",
       "      <td>Nominal Casing Internal Radius</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>MD</td>\n",
       "      <td>Measured Depth</td>\n",
       "      <td>0.1 in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>MDR</td>\n",
       "      <td>Micro-debonding Ratio</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>MLOSS</td>\n",
       "      <td>Metal Loss</td>\n",
       "      <td>%</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>ND</td>\n",
       "      <td>North Departure</td>\n",
       "      <td>m</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>RB</td>\n",
       "      <td>Relative Bearing</td>\n",
       "      <td>deg</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>RB_USIT</td>\n",
       "      <td>USIT RB</td>\n",
       "      <td>deg</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>RCCL</td>\n",
       "      <td>Raw Casing Collar Locator Amplitude</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(10B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>RGR</td>\n",
       "      <td>Raw Gamma Ray</td>\n",
       "      <td>gAPI</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>RHGR</td>\n",
       "      <td>High Resolution Raw Gamma Ray</td>\n",
       "      <td>gAPI</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>ROAZ</td>\n",
       "      <td>Azimuth from rotary table to target</td>\n",
       "      <td>deg</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>RSAV</td>\n",
       "      <td>Motor Revolution Speed</td>\n",
       "      <td>c/s</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>STIT</td>\n",
       "      <td>Stuck Tool Indicator, Total</td>\n",
       "      <td>m</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>T1BK</td>\n",
       "      <td>Internal Radius Metal Loss</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>T2AV</td>\n",
       "      <td>Thickness Average of Casing minus Nominal</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>T2BK</td>\n",
       "      <td>Thickness of Casing minus Nominal</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TDEP</td>\n",
       "      <td>Tool Depth</td>\n",
       "      <td>0.1 in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TDEP</td>\n",
       "      <td>Tool Depth</td>\n",
       "      <td>0.1 in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TDEP</td>\n",
       "      <td>Tool Depth</td>\n",
       "      <td>0.1 in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(10B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>TDSP</td>\n",
       "      <td>Total Displacement (of survey measure point fr...</td>\n",
       "      <td>m</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>TENS</td>\n",
       "      <td>Cable Tension</td>\n",
       "      <td>lbf</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(10B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>TENS</td>\n",
       "      <td>Cable Tension</td>\n",
       "      <td>lbf</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>THAV</td>\n",
       "      <td>Thickness Average Value</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>THAV_RF</td>\n",
       "      <td>Average of Unflagged Casing Thickness</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>THBK</td>\n",
       "      <td>Casing Thickness Normalized</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>THBK_RF</td>\n",
       "      <td>Image of Unflagged Thickness of Casing</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>THMN</td>\n",
       "      <td>Thickness Minimum Value</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>THMN_RF</td>\n",
       "      <td>Minimum of Unflagged Casing Thickness</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>THMX</td>\n",
       "      <td>Thickness Maximum Value</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>THMX_RF</td>\n",
       "      <td>Maximum of Unflagged Casing Thickness</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>THNO</td>\n",
       "      <td>Nominal Casing Thickness</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>TT</td>\n",
       "      <td>Transit Time for CBL</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>TT1</td>\n",
       "      <td>Transit Time 1</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>TT2</td>\n",
       "      <td>Transit Time 2</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>TT2S</td>\n",
       "      <td>Transit Time 2 Secondary</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>TTAV</td>\n",
       "      <td>Transit time average</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>TTBK</td>\n",
       "      <td>Transit Time</td>\n",
       "      <td>us</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>TTMN</td>\n",
       "      <td>Transit Time Minimum Value</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>TTMX</td>\n",
       "      <td>Transit Time Maximum Value</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>TTSL</td>\n",
       "      <td>Transit Time (Sliding Gate)</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>TVD</td>\n",
       "      <td>True Vertical Depth</td>\n",
       "      <td>m</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>TVDSS</td>\n",
       "      <td>Sub-sea TVD: True Vertical Depth measured from...</td>\n",
       "      <td>m</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>U-ED1</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>U-ED10</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>U-ED11</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>U-ED12</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>U-ED13</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>U-ED14</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>U-ED15</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>U-ED16</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>U-ED17</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>U-ED18</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>U-ED19</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>U-ED2</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>U-ED20</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>U-ED21</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>U-ED22</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>U-ED23</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>U-ED24</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>U-ED25</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>U-ED26</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>U-ED27</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>U-ED28</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>U-ED29</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>U-ED3</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>U-ED30</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>U-ED31</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>U-ED32</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>U-ED33</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>U-ED34</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>U-ED35</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>U-ED36</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>U-ED4</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>U-ED5</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>U-ED6</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>U-ED7</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>U-ED8</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>U-ED9</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>U-ID1</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>U-ID10</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>U-ID11</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>U-ID12</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>U-ID13</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>U-ID14</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>U-ID15</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>U-ID16</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>U-ID17</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>U-ID18</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>U-ID19</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>U-ID2</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>U-ID20</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>U-ID21</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>U-ID22</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>U-ID23</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>U-ID24</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>U-ID25</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>U-ID26</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>U-ID27</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>U-ID28</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>U-ID29</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>U-ID3</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>U-ID30</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>U-ID31</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>U-ID32</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>U-ID33</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>U-ID34</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>U-ID35</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>U-ID36</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>U-ID4</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>U-ID5</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>U-ID6</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>U-ID7</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>U-ID8</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>U-ID9</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>U-USIT_AZECEXT_RF</td>\n",
       "      <td>Azimuth of External Eccentering for Unflagged ...</td>\n",
       "      <td>deg</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>U001</td>\n",
       "      <td>Waveform for Azimuth 01</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>U002</td>\n",
       "      <td>Waveform for Azimuth 02</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>U003</td>\n",
       "      <td>Waveform for Azimuth 03</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>U004</td>\n",
       "      <td>Waveform for Azimuth 04</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>U005</td>\n",
       "      <td>Waveform for Azimuth 05</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>U006</td>\n",
       "      <td>Waveform for Azimuth 06</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>U007</td>\n",
       "      <td>Waveform for Azimuth 07</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>U008</td>\n",
       "      <td>Waveform for Azimuth 08</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>U009</td>\n",
       "      <td>Waveform for Azimuth 09</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>U010</td>\n",
       "      <td>Waveform for Azimuth 10</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>U011</td>\n",
       "      <td>Waveform for Azimuth 11</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>U012</td>\n",
       "      <td>Waveform for Azimuth 12</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>U013</td>\n",
       "      <td>Waveform for Azimuth 13</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>U014</td>\n",
       "      <td>Waveform for Azimuth 14</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>U015</td>\n",
       "      <td>Waveform for Azimuth 15</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>U016</td>\n",
       "      <td>Waveform for Azimuth 16</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>U017</td>\n",
       "      <td>Waveform for Azimuth 17</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>U018</td>\n",
       "      <td>Waveform for Azimuth 18</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>U019</td>\n",
       "      <td>Waveform for Azimuth 19</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>U020</td>\n",
       "      <td>Waveform for Azimuth 20</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>U021</td>\n",
       "      <td>Waveform for Azimuth 21</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>U022</td>\n",
       "      <td>Waveform for Azimuth 22</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>U023</td>\n",
       "      <td>Waveform for Azimuth 23</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>U024</td>\n",
       "      <td>Waveform for Azimuth 24</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>U025</td>\n",
       "      <td>Waveform for Azimuth 25</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>U026</td>\n",
       "      <td>Waveform for Azimuth 26</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>U027</td>\n",
       "      <td>Waveform for Azimuth 27</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>U028</td>\n",
       "      <td>Waveform for Azimuth 28</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>U029</td>\n",
       "      <td>Waveform for Azimuth 29</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>U030</td>\n",
       "      <td>Waveform for Azimuth 30</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>U031</td>\n",
       "      <td>Waveform for Azimuth 31</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>U032</td>\n",
       "      <td>Waveform for Azimuth 32</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>U033</td>\n",
       "      <td>Waveform for Azimuth 33</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>U034</td>\n",
       "      <td>Waveform for Azimuth 34</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>U035</td>\n",
       "      <td>Waveform for Azimuth 35</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>U036</td>\n",
       "      <td>Waveform for Azimuth 36</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>U037</td>\n",
       "      <td>Waveform for Azimuth 37</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>U038</td>\n",
       "      <td>Waveform for Azimuth 38</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>U039</td>\n",
       "      <td>Waveform for Azimuth 39</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>U040</td>\n",
       "      <td>Waveform for Azimuth 40</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>U041</td>\n",
       "      <td>Waveform for Azimuth 41</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>U042</td>\n",
       "      <td>Waveform for Azimuth 42</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>U043</td>\n",
       "      <td>Waveform for Azimuth 43</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>U044</td>\n",
       "      <td>Waveform for Azimuth 44</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>U045</td>\n",
       "      <td>Waveform for Azimuth 45</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>U046</td>\n",
       "      <td>Waveform for Azimuth 46</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>U047</td>\n",
       "      <td>Waveform for Azimuth 47</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>U048</td>\n",
       "      <td>Waveform for Azimuth 48</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>U049</td>\n",
       "      <td>Waveform for Azimuth 49</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>U050</td>\n",
       "      <td>Waveform for Azimuth 50</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>U051</td>\n",
       "      <td>Waveform for Azimuth 51</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>U052</td>\n",
       "      <td>Waveform for Azimuth 52</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>U053</td>\n",
       "      <td>Waveform for Azimuth 53</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>U054</td>\n",
       "      <td>Waveform for Azimuth 54</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>U055</td>\n",
       "      <td>Waveform for Azimuth 55</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>U056</td>\n",
       "      <td>Waveform for Azimuth 56</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>U057</td>\n",
       "      <td>Waveform for Azimuth 57</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>U058</td>\n",
       "      <td>Waveform for Azimuth 58</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>U059</td>\n",
       "      <td>Waveform for Azimuth 59</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>U060</td>\n",
       "      <td>Waveform for Azimuth 60</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>U061</td>\n",
       "      <td>Waveform for Azimuth 61</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>U062</td>\n",
       "      <td>Waveform for Azimuth 62</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>U063</td>\n",
       "      <td>Waveform for Azimuth 63</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>U064</td>\n",
       "      <td>Waveform for Azimuth 64</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>U065</td>\n",
       "      <td>Waveform for Azimuth 65</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>U066</td>\n",
       "      <td>Waveform for Azimuth 66</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>U067</td>\n",
       "      <td>Waveform for Azimuth 67</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>U068</td>\n",
       "      <td>Waveform for Azimuth 68</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>U069</td>\n",
       "      <td>Waveform for Azimuth 69</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>U070</td>\n",
       "      <td>Waveform for Azimuth 70</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>U071</td>\n",
       "      <td>Waveform for Azimuth 71</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>U072</td>\n",
       "      <td>Waveform for Azimuth 72</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>UCAZ</td>\n",
       "      <td>Ultrasonic Azimuth</td>\n",
       "      <td>deg</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>UDEP</td>\n",
       "      <td>USIT River Depth Index</td>\n",
       "      <td>m</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>UFLG</td>\n",
       "      <td>USIT Processing Flags</td>\n",
       "      <td></td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>UFRT</td>\n",
       "      <td>Firing Rate</td>\n",
       "      <td>Hz</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>UGCI_RF</td>\n",
       "      <td>USIT Gaseous Index Computed on Unflagged Data</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>UPGA</td>\n",
       "      <td>USIC Programmable Gain Amplitude of Waves</td>\n",
       "      <td>dB</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>USBI</td>\n",
       "      <td>USIT Bond Index</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>USBI_RF</td>\n",
       "      <td>USIT Bond Index Computed on Unflagged Data</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>USGI</td>\n",
       "      <td>USIT Gas Index</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>USGI_RF</td>\n",
       "      <td>USIT Gas Index Computed on Unflagged Data</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>UTDL</td>\n",
       "      <td>USIC Tachometer Delay</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>UTIM</td>\n",
       "      <td>Time of Arrival of Waves</td>\n",
       "      <td>ms</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>VDL</td>\n",
       "      <td>Variable Density Log</td>\n",
       "      <td></td>\n",
       "      <td>[500]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>VSEC</td>\n",
       "      <td>Vertical Section</td>\n",
       "      <td>m</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>WAGN</td>\n",
       "      <td>Waveform Applied Gain</td>\n",
       "      <td>dB</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>WDE1</td>\n",
       "      <td>Waveform Delay 1</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>WDE2</td>\n",
       "      <td>Waveform Delay 2</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>WDMN</td>\n",
       "      <td>Waveform Delay Minimum</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>WDMX</td>\n",
       "      <td>Waveform Delay Maximum</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>WF1</td>\n",
       "      <td>Waveform 1</td>\n",
       "      <td></td>\n",
       "      <td>[250]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>WF1N</td>\n",
       "      <td>Waveform 1 Normalization Factor</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>WF2</td>\n",
       "      <td>Waveform 2</td>\n",
       "      <td></td>\n",
       "      <td>[250]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>WF2N</td>\n",
       "      <td>Waveform 2 Normalization Factor</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>WFDL</td>\n",
       "      <td>Waveform Delay</td>\n",
       "      <td>us</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>WPKA</td>\n",
       "      <td>Waveform Peak Amplitude</td>\n",
       "      <td></td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Name  \\\n",
       "3                        AGMA   \n",
       "4                        AGMI   \n",
       "5                        AIAV   \n",
       "6                     AIAV_RF   \n",
       "7                        AIBK   \n",
       "8                        AIMN   \n",
       "9                     AIMN_RF   \n",
       "10                       AIMX   \n",
       "11                    AIMX_RF   \n",
       "12   AI_MICRO_DEBONDING_IMAGE   \n",
       "293                      AREA   \n",
       "13                       AWAV   \n",
       "14                    AWAV_RF   \n",
       "15                       AWBK   \n",
       "16                    AWBK_RF   \n",
       "17                       AWMN   \n",
       "18                    AWMN_RF   \n",
       "19                       AWMX   \n",
       "20                    AWMX_RF   \n",
       "21                       AZEC   \n",
       "22                   AZEC_EXT   \n",
       "23                    AZEC_RF   \n",
       "283                      AZIM   \n",
       "279                      BHPR   \n",
       "290                      BHRM   \n",
       "248                        BI   \n",
       "24                       BPRE   \n",
       "275                        BS   \n",
       "250                       CBL   \n",
       "249                      CBLF   \n",
       "251                      CBSL   \n",
       "294                       CCL   \n",
       "25                       CCLU   \n",
       "260                       CDF   \n",
       "26                       CEMR   \n",
       "27                       CFVL   \n",
       "252                      CMCG   \n",
       "277                        CS   \n",
       "278                        CS   \n",
       "258                      CTEM   \n",
       "271                      CVEL   \n",
       "272                      CVEL   \n",
       "28                       CZMD   \n",
       "267                      DCAL   \n",
       "280                     DEPTH   \n",
       "261                        DF   \n",
       "266                       DLS   \n",
       "30                       ECCE   \n",
       "29                 ECCEEXT_RF   \n",
       "31                   ECCE_EXT   \n",
       "32                    ECCE_RF   \n",
       "255                      ECGR   \n",
       "268                        ED   \n",
       "307                      EHGR   \n",
       "33                       ERAV   \n",
       "34                   ERAV_EXT   \n",
       "35                    ERAV_RF   \n",
       "36                   ERBA_EXT   \n",
       "38                       ERBK   \n",
       "37                   ERBK_EXT   \n",
       "39                   ERBN_EXT   \n",
       "40                       ERMN   \n",
       "41                   ERMN_EXT   \n",
       "42                    ERMN_RF   \n",
       "43                       ERMX   \n",
       "44                   ERMX_EXT   \n",
       "45                    ERMX_RF   \n",
       "46                       ERNO   \n",
       "295                      FCCL   \n",
       "270                       FCD   \n",
       "282                        FF   \n",
       "47                       GASR   \n",
       "289                       GHD   \n",
       "48                       GNMN   \n",
       "49                       GNMX   \n",
       "256                        GR   \n",
       "265                      GTEM   \n",
       "276                      HDAR   \n",
       "308                       HGR   \n",
       "50                       HRTT   \n",
       "259                        HV   \n",
       "281                       ICV   \n",
       "51                       IDQC   \n",
       "262                      IDWD   \n",
       "274                       IHV   \n",
       "273                      INCL   \n",
       "52                       IRAV   \n",
       "53                   IRAV_EXT   \n",
       "54                    IRAV_RF   \n",
       "55                       IRBK   \n",
       "56                   IRBK_EXT   \n",
       "57                    IRBK_RF   \n",
       "58                       IRMN   \n",
       "59                   IRMN_EXT   \n",
       "60                    IRMN_RF   \n",
       "61                       IRMX   \n",
       "62                   IRMX_EXT   \n",
       "63                    IRMX_RF   \n",
       "64                       IRNO   \n",
       "292                        MD   \n",
       "65                        MDR   \n",
       "66                      MLOSS   \n",
       "286                        ND   \n",
       "67                         RB   \n",
       "68                    RB_USIT   \n",
       "296                      RCCL   \n",
       "257                       RGR   \n",
       "309                      RHGR   \n",
       "264                      ROAZ   \n",
       "69                       RSAV   \n",
       "291                      STIT   \n",
       "70                       T1BK   \n",
       "71                       T2AV   \n",
       "72                       T2BK   \n",
       "0                        TDEP   \n",
       "2                        TDEP   \n",
       "1                        TDEP   \n",
       "288                      TDSP   \n",
       "285                      TENS   \n",
       "284                      TENS   \n",
       "73                       THAV   \n",
       "74                    THAV_RF   \n",
       "75                       THBK   \n",
       "76                    THBK_RF   \n",
       "77                       THMN   \n",
       "78                    THMN_RF   \n",
       "79                       THMX   \n",
       "80                    THMX_RF   \n",
       "81                       THNO   \n",
       "254                        TT   \n",
       "297                       TT1   \n",
       "299                       TT2   \n",
       "298                      TT2S   \n",
       "82                       TTAV   \n",
       "83                       TTBK   \n",
       "84                       TTMN   \n",
       "85                       TTMX   \n",
       "253                      TTSL   \n",
       "263                       TVD   \n",
       "287                     TVDSS   \n",
       "96                      U-ED1   \n",
       "86                     U-ED10   \n",
       "87                     U-ED11   \n",
       "88                     U-ED12   \n",
       "89                     U-ED13   \n",
       "90                     U-ED14   \n",
       "91                     U-ED15   \n",
       "92                     U-ED16   \n",
       "93                     U-ED17   \n",
       "94                     U-ED18   \n",
       "95                     U-ED19   \n",
       "107                     U-ED2   \n",
       "97                     U-ED20   \n",
       "98                     U-ED21   \n",
       "99                     U-ED22   \n",
       "100                    U-ED23   \n",
       "101                    U-ED24   \n",
       "102                    U-ED25   \n",
       "103                    U-ED26   \n",
       "104                    U-ED27   \n",
       "105                    U-ED28   \n",
       "106                    U-ED29   \n",
       "115                     U-ED3   \n",
       "108                    U-ED30   \n",
       "109                    U-ED31   \n",
       "110                    U-ED32   \n",
       "111                    U-ED33   \n",
       "112                    U-ED34   \n",
       "113                    U-ED35   \n",
       "114                    U-ED36   \n",
       "116                     U-ED4   \n",
       "117                     U-ED5   \n",
       "118                     U-ED6   \n",
       "119                     U-ED7   \n",
       "120                     U-ED8   \n",
       "121                     U-ED9   \n",
       "132                     U-ID1   \n",
       "122                    U-ID10   \n",
       "123                    U-ID11   \n",
       "124                    U-ID12   \n",
       "125                    U-ID13   \n",
       "126                    U-ID14   \n",
       "127                    U-ID15   \n",
       "128                    U-ID16   \n",
       "129                    U-ID17   \n",
       "130                    U-ID18   \n",
       "131                    U-ID19   \n",
       "143                     U-ID2   \n",
       "133                    U-ID20   \n",
       "134                    U-ID21   \n",
       "135                    U-ID22   \n",
       "136                    U-ID23   \n",
       "137                    U-ID24   \n",
       "138                    U-ID25   \n",
       "139                    U-ID26   \n",
       "140                    U-ID27   \n",
       "141                    U-ID28   \n",
       "142                    U-ID29   \n",
       "151                     U-ID3   \n",
       "144                    U-ID30   \n",
       "145                    U-ID31   \n",
       "146                    U-ID32   \n",
       "147                    U-ID33   \n",
       "148                    U-ID34   \n",
       "149                    U-ID35   \n",
       "150                    U-ID36   \n",
       "152                     U-ID4   \n",
       "153                     U-ID5   \n",
       "154                     U-ID6   \n",
       "155                     U-ID7   \n",
       "156                     U-ID8   \n",
       "157                     U-ID9   \n",
       "158         U-USIT_AZECEXT_RF   \n",
       "159                      U001   \n",
       "160                      U002   \n",
       "161                      U003   \n",
       "162                      U004   \n",
       "163                      U005   \n",
       "164                      U006   \n",
       "165                      U007   \n",
       "166                      U008   \n",
       "167                      U009   \n",
       "168                      U010   \n",
       "169                      U011   \n",
       "170                      U012   \n",
       "171                      U013   \n",
       "172                      U014   \n",
       "173                      U015   \n",
       "174                      U016   \n",
       "175                      U017   \n",
       "176                      U018   \n",
       "177                      U019   \n",
       "178                      U020   \n",
       "179                      U021   \n",
       "180                      U022   \n",
       "181                      U023   \n",
       "182                      U024   \n",
       "183                      U025   \n",
       "184                      U026   \n",
       "185                      U027   \n",
       "186                      U028   \n",
       "187                      U029   \n",
       "188                      U030   \n",
       "189                      U031   \n",
       "190                      U032   \n",
       "191                      U033   \n",
       "192                      U034   \n",
       "193                      U035   \n",
       "194                      U036   \n",
       "195                      U037   \n",
       "196                      U038   \n",
       "197                      U039   \n",
       "198                      U040   \n",
       "199                      U041   \n",
       "200                      U042   \n",
       "201                      U043   \n",
       "202                      U044   \n",
       "203                      U045   \n",
       "204                      U046   \n",
       "205                      U047   \n",
       "206                      U048   \n",
       "207                      U049   \n",
       "208                      U050   \n",
       "209                      U051   \n",
       "210                      U052   \n",
       "211                      U053   \n",
       "212                      U054   \n",
       "213                      U055   \n",
       "214                      U056   \n",
       "215                      U057   \n",
       "216                      U058   \n",
       "217                      U059   \n",
       "218                      U060   \n",
       "219                      U061   \n",
       "220                      U062   \n",
       "221                      U063   \n",
       "222                      U064   \n",
       "223                      U065   \n",
       "224                      U066   \n",
       "225                      U067   \n",
       "226                      U068   \n",
       "227                      U069   \n",
       "228                      U070   \n",
       "229                      U071   \n",
       "230                      U072   \n",
       "231                      UCAZ   \n",
       "232                      UDEP   \n",
       "233                      UFLG   \n",
       "234                      UFRT   \n",
       "235                   UGCI_RF   \n",
       "236                      UPGA   \n",
       "237                      USBI   \n",
       "238                   USBI_RF   \n",
       "239                      USGI   \n",
       "240                   USGI_RF   \n",
       "241                      UTDL   \n",
       "242                      UTIM   \n",
       "300                       VDL   \n",
       "269                      VSEC   \n",
       "243                      WAGN   \n",
       "301                      WDE1   \n",
       "302                      WDE2   \n",
       "244                      WDMN   \n",
       "245                      WDMX   \n",
       "304                       WF1   \n",
       "303                      WF1N   \n",
       "306                       WF2   \n",
       "305                      WF2N   \n",
       "246                      WFDL   \n",
       "247                      WPKA   \n",
       "\n",
       "                                             Long name    Units Dimension  \\\n",
       "3                      Maximum Allowed Electronic Gain       dB       [1]   \n",
       "4                      Minimum Allowed Electronic Gain       dB       [1]   \n",
       "5                           Acoustic Impedance Average    Mrayl       [1]   \n",
       "6               Median of Unflagged Measured Impedance    Mrayl       [1]   \n",
       "7                                   Acoustic Impedance    Mrayl      [72]   \n",
       "8                           Acoustic Impedance Minimum    Mrayl       [1]   \n",
       "9              Minimum of Unflagged Acoustic Impedance    Mrayl       [1]   \n",
       "10                          Acoustic Impedance Maximum    Mrayl       [1]   \n",
       "11             Maximum of Unflagged Acoustic Impedance    Mrayl       [1]   \n",
       "12       Acoustic Impedance With Micro-debonding Image    Mrayl      [72]   \n",
       "293                                   Area of Borehole      in2       [1]   \n",
       "13                           Amplitude of Wave Average       dB       [1]   \n",
       "14                 Average of Unflagged Wave Amplitude       dB       [1]   \n",
       "15                                   Amplitude of Wave       dB      [72]   \n",
       "16     Unflagged Echo Amplitude minus median amplitude       dB      [72]   \n",
       "17                           Amplitude of Wave Minimum       dB       [1]   \n",
       "18                 Minimum of Unflagged Wave Amplitude       dB       [1]   \n",
       "19                           Amplitude of Wave Maximum       dB       [1]   \n",
       "20                 Maximum of Unflagged Wave Amplitude       dB       [1]   \n",
       "21                              Azimuth of Eccentering      deg       [1]   \n",
       "22                     Azimuth of External Eccentering      deg       [1]   \n",
       "23          Azimuth of Eccentering for Unflagged Waves      deg       [1]   \n",
       "283                                   Measured Azimuth      deg       [1]   \n",
       "279                                  Borehole Pressure      psi       [1]   \n",
       "290                           Borehole Mud Resistivity    ohm.m       [1]   \n",
       "248                                         Bond Index                [1]   \n",
       "24                                      Burst Pressure      psi       [1]   \n",
       "275                                           Bit Size       in       [1]   \n",
       "250                                      CBL Amplitude       mV       [1]   \n",
       "249                  CBL Amplitude (Fluid Compensated)       mV       [1]   \n",
       "251                       CBL Amplitude (Sliding Gate)       mV       [1]   \n",
       "294                    Casing Collar Locator Amplitude                [1]   \n",
       "25                    Casing Collar Locator Ultrasonic       in       [1]   \n",
       "260                          Calibrated Downhole Force      lbf       [1]   \n",
       "26               Ratio of Cement Measurements to Total                [1]   \n",
       "27                   Memorized Fluid Acoustic Slowness    us/ft       [1]   \n",
       "252                  CBL Cement Type Compensation Gain                [1]   \n",
       "277                                        Cable Speed      m/h       [1]   \n",
       "278                                        Cable Speed      m/h       [1]   \n",
       "258                              Cartridge Temperature     degC       [1]   \n",
       "271                                     Cable Velocity      m/h       [1]   \n",
       "272                                     Cable Velocity      m/h       [1]   \n",
       "28                           Acoustic Impedance of Mud    Mrayl       [1]   \n",
       "267                               Differential Caliper       in       [1]   \n",
       "280                                        Depth Index        m       [1]   \n",
       "261                        Uncalibrated Downhole Force      lbf       [1]   \n",
       "266                                   Dog Leg Severity  deg/30m       [1]   \n",
       "30                            Amplitude of Eccentering       in       [1]   \n",
       "29                 Unflagged Data External Eccentering       in       [1]   \n",
       "31                           USIT External Eccentering       in       [1]   \n",
       "32        Amplitude of Eccentering for Unflagged Waves       in       [1]   \n",
       "255                Environmentally Corrected Gamma Ray     gAPI       [1]   \n",
       "268                                     East Departure        m       [1]   \n",
       "307                High Resolution Corrected Gamma Ray     gAPI       [1]   \n",
       "33                              External Radii Average       in       [1]   \n",
       "34   Average External Radius Corrected for External...       in       [1]   \n",
       "35        Median of External Radii for Unflagged Waves       in       [1]   \n",
       "36   External Radii Corrected for External Eccenter...       in      [72]   \n",
       "38                                      External Radii       in      [72]   \n",
       "37   External Radii Corrected for External Eccentering       in      [72]   \n",
       "39   External Radii Corrected for External Eccenter...       in      [72]   \n",
       "40                              External Radii Minimum       in       [1]   \n",
       "41   Minimum External Radius Corrected for External...       in       [1]   \n",
       "42                 Minimum of Unflagged External Radii       in       [1]   \n",
       "43                              External Radii Maximum       in       [1]   \n",
       "44   Maximum External Radius Corrected for External...       in       [1]   \n",
       "45                 Maximum of Unflagged External Radii       in       [1]   \n",
       "46                      Nominal Casing External Radius       in       [1]   \n",
       "295                                  Casing Collar Pip                [1]   \n",
       "270                             Future Casing Diameter       in       [1]   \n",
       "282                                   Formation Factor                [1]   \n",
       "47                  Ratio of Gas Measurements to Total                [1]   \n",
       "289                                  Borehole Diameter       in       [1]   \n",
       "48                               Waveform Gain Minimum       dB       [1]   \n",
       "49                               Waveform Gain Maximum       dB       [1]   \n",
       "256                                          Gamma Ray     gAPI       [1]   \n",
       "265                   Generalized Borehole Temperature     degC       [1]   \n",
       "276                            Hole Diameter from Area       in       [1]   \n",
       "308                          High Resolution Gamma Ray     gAPI       [1]   \n",
       "50                 Histogram of Raw Transit Time Index       us     [180]   \n",
       "259                                       Head Voltage        V       [1]   \n",
       "281                           Integrated Cement Volume       m3       [1]   \n",
       "51                     Internal Diameter Quality Check       in       [1]   \n",
       "262  Borehole depth as measured by the IDW (Integra...        m       [1]   \n",
       "274                             Integrated Hole Volume       m3       [1]   \n",
       "273                                   Hole inclination      deg       [1]   \n",
       "52                      Internal Radius Averaged Value       in       [1]   \n",
       "53   Average Internal Radius Corrected for External...       in       [1]   \n",
       "54   Median Internal Radius of Casing for Unflagged...       in       [1]   \n",
       "55                           Internal Radii Normalized       in      [72]   \n",
       "56   Internal Radii Corrected for External Eccentering       in      [72]   \n",
       "57                  Unflagged External Radii of Casing       in      [72]   \n",
       "58                       Internal Radius Minimum Value       in       [1]   \n",
       "59   Minimum Internal Radius Corrected for External...       in       [1]   \n",
       "60   Minimum of Unflagged Internal Radii Corrected ...       in       [1]   \n",
       "61                       Internal Radius Maximum Value       in       [1]   \n",
       "62   Maximum Internal Radius Corrected for External...       in       [1]   \n",
       "63   Maximum of Unflagged Internal Radii Corrected ...       in       [1]   \n",
       "64                      Nominal Casing Internal Radius       in       [1]   \n",
       "292                                     Measured Depth   0.1 in       [1]   \n",
       "65                               Micro-debonding Ratio                [1]   \n",
       "66                                          Metal Loss        %       [1]   \n",
       "286                                    North Departure        m       [1]   \n",
       "67                                    Relative Bearing      deg       [1]   \n",
       "68                                             USIT RB      deg       [1]   \n",
       "296                Raw Casing Collar Locator Amplitude                [1]   \n",
       "257                                      Raw Gamma Ray     gAPI       [1]   \n",
       "309                      High Resolution Raw Gamma Ray     gAPI       [1]   \n",
       "264                Azimuth from rotary table to target      deg       [1]   \n",
       "69                              Motor Revolution Speed      c/s       [1]   \n",
       "291                        Stuck Tool Indicator, Total        m       [1]   \n",
       "70                          Internal Radius Metal Loss       in      [72]   \n",
       "71           Thickness Average of Casing minus Nominal       in       [1]   \n",
       "72                   Thickness of Casing minus Nominal       in      [72]   \n",
       "0                                           Tool Depth   0.1 in       [1]   \n",
       "2                                           Tool Depth   0.1 in       [1]   \n",
       "1                                           Tool Depth   0.1 in       [1]   \n",
       "288  Total Displacement (of survey measure point fr...        m       [1]   \n",
       "285                                      Cable Tension      lbf       [1]   \n",
       "284                                      Cable Tension      lbf       [1]   \n",
       "73                             Thickness Average Value       in       [1]   \n",
       "74               Average of Unflagged Casing Thickness       in       [1]   \n",
       "75                         Casing Thickness Normalized       in      [72]   \n",
       "76              Image of Unflagged Thickness of Casing       in      [72]   \n",
       "77                             Thickness Minimum Value       in       [1]   \n",
       "78               Minimum of Unflagged Casing Thickness       in       [1]   \n",
       "79                             Thickness Maximum Value       in       [1]   \n",
       "80               Maximum of Unflagged Casing Thickness       in       [1]   \n",
       "81                            Nominal Casing Thickness       in       [1]   \n",
       "254                               Transit Time for CBL       us       [1]   \n",
       "297                                     Transit Time 1       us       [1]   \n",
       "299                                     Transit Time 2       us       [1]   \n",
       "298                           Transit Time 2 Secondary       us       [1]   \n",
       "82                                Transit time average       us       [1]   \n",
       "83                                        Transit Time       us      [72]   \n",
       "84                          Transit Time Minimum Value       us       [1]   \n",
       "85                          Transit Time Maximum Value       us       [1]   \n",
       "253                        Transit Time (Sliding Gate)       us       [1]   \n",
       "263                                True Vertical Depth        m       [1]   \n",
       "287  Sub-sea TVD: True Vertical Depth measured from...        m       [1]   \n",
       "96                       External Diameter in USI mode       in       [1]   \n",
       "86                       External Diameter in USI mode       in       [1]   \n",
       "87                       External Diameter in USI mode       in       [1]   \n",
       "88                       External Diameter in USI mode       in       [1]   \n",
       "89                       External Diameter in USI mode       in       [1]   \n",
       "90                       External Diameter in USI mode       in       [1]   \n",
       "91                       External Diameter in USI mode       in       [1]   \n",
       "92                       External Diameter in USI mode       in       [1]   \n",
       "93                       External Diameter in USI mode       in       [1]   \n",
       "94                       External Diameter in USI mode       in       [1]   \n",
       "95                       External Diameter in USI mode       in       [1]   \n",
       "107                      External Diameter in USI mode       in       [1]   \n",
       "97                       External Diameter in USI mode       in       [1]   \n",
       "98                       External Diameter in USI mode       in       [1]   \n",
       "99                       External Diameter in USI mode       in       [1]   \n",
       "100                      External Diameter in USI mode       in       [1]   \n",
       "101                      External Diameter in USI mode       in       [1]   \n",
       "102                      External Diameter in USI mode       in       [1]   \n",
       "103                      External Diameter in USI mode       in       [1]   \n",
       "104                      External Diameter in USI mode       in       [1]   \n",
       "105                      External Diameter in USI mode       in       [1]   \n",
       "106                      External Diameter in USI mode       in       [1]   \n",
       "115                      External Diameter in USI mode       in       [1]   \n",
       "108                      External Diameter in USI mode       in       [1]   \n",
       "109                      External Diameter in USI mode       in       [1]   \n",
       "110                      External Diameter in USI mode       in       [1]   \n",
       "111                      External Diameter in USI mode       in       [1]   \n",
       "112                      External Diameter in USI mode       in       [1]   \n",
       "113                      External Diameter in USI mode       in       [1]   \n",
       "114                      External Diameter in USI mode       in       [1]   \n",
       "116                      External Diameter in USI mode       in       [1]   \n",
       "117                      External Diameter in USI mode       in       [1]   \n",
       "118                      External Diameter in USI mode       in       [1]   \n",
       "119                      External Diameter in USI mode       in       [1]   \n",
       "120                      External Diameter in USI mode       in       [1]   \n",
       "121                      External Diameter in USI mode       in       [1]   \n",
       "132                      Internal Diameter in USI mode       in       [1]   \n",
       "122                      Internal Diameter in USI mode       in       [1]   \n",
       "123                      Internal Diameter in USI mode       in       [1]   \n",
       "124                      Internal Diameter in USI mode       in       [1]   \n",
       "125                      Internal Diameter in USI mode       in       [1]   \n",
       "126                      Internal Diameter in USI mode       in       [1]   \n",
       "127                      Internal Diameter in USI mode       in       [1]   \n",
       "128                      Internal Diameter in USI mode       in       [1]   \n",
       "129                      Internal Diameter in USI mode       in       [1]   \n",
       "130                      Internal Diameter in USI mode       in       [1]   \n",
       "131                      Internal Diameter in USI mode       in       [1]   \n",
       "143                      Internal Diameter in USI mode       in       [1]   \n",
       "133                      Internal Diameter in USI mode       in       [1]   \n",
       "134                      Internal Diameter in USI mode       in       [1]   \n",
       "135                      Internal Diameter in USI mode       in       [1]   \n",
       "136                      Internal Diameter in USI mode       in       [1]   \n",
       "137                      Internal Diameter in USI mode       in       [1]   \n",
       "138                      Internal Diameter in USI mode       in       [1]   \n",
       "139                      Internal Diameter in USI mode       in       [1]   \n",
       "140                      Internal Diameter in USI mode       in       [1]   \n",
       "141                      Internal Diameter in USI mode       in       [1]   \n",
       "142                      Internal Diameter in USI mode       in       [1]   \n",
       "151                      Internal Diameter in USI mode       in       [1]   \n",
       "144                      Internal Diameter in USI mode       in       [1]   \n",
       "145                      Internal Diameter in USI mode       in       [1]   \n",
       "146                      Internal Diameter in USI mode       in       [1]   \n",
       "147                      Internal Diameter in USI mode       in       [1]   \n",
       "148                      Internal Diameter in USI mode       in       [1]   \n",
       "149                      Internal Diameter in USI mode       in       [1]   \n",
       "150                      Internal Diameter in USI mode       in       [1]   \n",
       "152                      Internal Diameter in USI mode       in       [1]   \n",
       "153                      Internal Diameter in USI mode       in       [1]   \n",
       "154                      Internal Diameter in USI mode       in       [1]   \n",
       "155                      Internal Diameter in USI mode       in       [1]   \n",
       "156                      Internal Diameter in USI mode       in       [1]   \n",
       "157                      Internal Diameter in USI mode       in       [1]   \n",
       "158  Azimuth of External Eccentering for Unflagged ...      deg       [1]   \n",
       "159                            Waveform for Azimuth 01              [120]   \n",
       "160                            Waveform for Azimuth 02              [120]   \n",
       "161                            Waveform for Azimuth 03              [120]   \n",
       "162                            Waveform for Azimuth 04              [120]   \n",
       "163                            Waveform for Azimuth 05              [120]   \n",
       "164                            Waveform for Azimuth 06              [120]   \n",
       "165                            Waveform for Azimuth 07              [120]   \n",
       "166                            Waveform for Azimuth 08              [120]   \n",
       "167                            Waveform for Azimuth 09              [120]   \n",
       "168                            Waveform for Azimuth 10              [120]   \n",
       "169                            Waveform for Azimuth 11              [120]   \n",
       "170                            Waveform for Azimuth 12              [120]   \n",
       "171                            Waveform for Azimuth 13              [120]   \n",
       "172                            Waveform for Azimuth 14              [120]   \n",
       "173                            Waveform for Azimuth 15              [120]   \n",
       "174                            Waveform for Azimuth 16              [120]   \n",
       "175                            Waveform for Azimuth 17              [120]   \n",
       "176                            Waveform for Azimuth 18              [120]   \n",
       "177                            Waveform for Azimuth 19              [120]   \n",
       "178                            Waveform for Azimuth 20              [120]   \n",
       "179                            Waveform for Azimuth 21              [120]   \n",
       "180                            Waveform for Azimuth 22              [120]   \n",
       "181                            Waveform for Azimuth 23              [120]   \n",
       "182                            Waveform for Azimuth 24              [120]   \n",
       "183                            Waveform for Azimuth 25              [120]   \n",
       "184                            Waveform for Azimuth 26              [120]   \n",
       "185                            Waveform for Azimuth 27              [120]   \n",
       "186                            Waveform for Azimuth 28              [120]   \n",
       "187                            Waveform for Azimuth 29              [120]   \n",
       "188                            Waveform for Azimuth 30              [120]   \n",
       "189                            Waveform for Azimuth 31              [120]   \n",
       "190                            Waveform for Azimuth 32              [120]   \n",
       "191                            Waveform for Azimuth 33              [120]   \n",
       "192                            Waveform for Azimuth 34              [120]   \n",
       "193                            Waveform for Azimuth 35              [120]   \n",
       "194                            Waveform for Azimuth 36              [120]   \n",
       "195                            Waveform for Azimuth 37              [120]   \n",
       "196                            Waveform for Azimuth 38              [120]   \n",
       "197                            Waveform for Azimuth 39              [120]   \n",
       "198                            Waveform for Azimuth 40              [120]   \n",
       "199                            Waveform for Azimuth 41              [120]   \n",
       "200                            Waveform for Azimuth 42              [120]   \n",
       "201                            Waveform for Azimuth 43              [120]   \n",
       "202                            Waveform for Azimuth 44              [120]   \n",
       "203                            Waveform for Azimuth 45              [120]   \n",
       "204                            Waveform for Azimuth 46              [120]   \n",
       "205                            Waveform for Azimuth 47              [120]   \n",
       "206                            Waveform for Azimuth 48              [120]   \n",
       "207                            Waveform for Azimuth 49              [120]   \n",
       "208                            Waveform for Azimuth 50              [120]   \n",
       "209                            Waveform for Azimuth 51              [120]   \n",
       "210                            Waveform for Azimuth 52              [120]   \n",
       "211                            Waveform for Azimuth 53              [120]   \n",
       "212                            Waveform for Azimuth 54              [120]   \n",
       "213                            Waveform for Azimuth 55              [120]   \n",
       "214                            Waveform for Azimuth 56              [120]   \n",
       "215                            Waveform for Azimuth 57              [120]   \n",
       "216                            Waveform for Azimuth 58              [120]   \n",
       "217                            Waveform for Azimuth 59              [120]   \n",
       "218                            Waveform for Azimuth 60              [120]   \n",
       "219                            Waveform for Azimuth 61              [120]   \n",
       "220                            Waveform for Azimuth 62              [120]   \n",
       "221                            Waveform for Azimuth 63              [120]   \n",
       "222                            Waveform for Azimuth 64              [120]   \n",
       "223                            Waveform for Azimuth 65              [120]   \n",
       "224                            Waveform for Azimuth 66              [120]   \n",
       "225                            Waveform for Azimuth 67              [120]   \n",
       "226                            Waveform for Azimuth 68              [120]   \n",
       "227                            Waveform for Azimuth 69              [120]   \n",
       "228                            Waveform for Azimuth 70              [120]   \n",
       "229                            Waveform for Azimuth 71              [120]   \n",
       "230                            Waveform for Azimuth 72              [120]   \n",
       "231                                 Ultrasonic Azimuth      deg       [1]   \n",
       "232                             USIT River Depth Index        m       [1]   \n",
       "233                              USIT Processing Flags               [72]   \n",
       "234                                        Firing Rate       Hz       [1]   \n",
       "235      USIT Gaseous Index Computed on Unflagged Data                [1]   \n",
       "236          USIC Programmable Gain Amplitude of Waves       dB      [72]   \n",
       "237                                    USIT Bond Index                [1]   \n",
       "238         USIT Bond Index Computed on Unflagged Data                [1]   \n",
       "239                                     USIT Gas Index                [1]   \n",
       "240          USIT Gas Index Computed on Unflagged Data                [1]   \n",
       "241                              USIC Tachometer Delay       us       [1]   \n",
       "242                           Time of Arrival of Waves       ms      [72]   \n",
       "300                               Variable Density Log              [500]   \n",
       "269                                   Vertical Section        m       [1]   \n",
       "243                              Waveform Applied Gain       dB      [72]   \n",
       "301                                   Waveform Delay 1       us       [1]   \n",
       "302                                   Waveform Delay 2       us       [1]   \n",
       "244                             Waveform Delay Minimum       us       [1]   \n",
       "245                             Waveform Delay Maximum       us       [1]   \n",
       "304                                         Waveform 1              [250]   \n",
       "303                    Waveform 1 Normalization Factor                [1]   \n",
       "306                                         Waveform 2              [250]   \n",
       "305                    Waveform 2 Normalization Factor                [1]   \n",
       "246                                     Waveform Delay       us      [72]   \n",
       "247                            Waveform Peak Amplitude               [72]   \n",
       "\n",
       "          Frame  \n",
       "3    Frame(60B)  \n",
       "4    Frame(60B)  \n",
       "5    Frame(60B)  \n",
       "6    Frame(60B)  \n",
       "7    Frame(60B)  \n",
       "8    Frame(60B)  \n",
       "9    Frame(60B)  \n",
       "10   Frame(60B)  \n",
       "11   Frame(60B)  \n",
       "12   Frame(60B)  \n",
       "293  Frame(60B)  \n",
       "13   Frame(60B)  \n",
       "14   Frame(60B)  \n",
       "15   Frame(60B)  \n",
       "16   Frame(60B)  \n",
       "17   Frame(60B)  \n",
       "18   Frame(60B)  \n",
       "19   Frame(60B)  \n",
       "20   Frame(60B)  \n",
       "21   Frame(60B)  \n",
       "22   Frame(60B)  \n",
       "23   Frame(60B)  \n",
       "283  Frame(60B)  \n",
       "279  Frame(60B)  \n",
       "290  Frame(60B)  \n",
       "248  Frame(60B)  \n",
       "24   Frame(60B)  \n",
       "275  Frame(60B)  \n",
       "250  Frame(60B)  \n",
       "249  Frame(60B)  \n",
       "251  Frame(60B)  \n",
       "294  Frame(10B)  \n",
       "25   Frame(60B)  \n",
       "260  Frame(60B)  \n",
       "26   Frame(60B)  \n",
       "27   Frame(60B)  \n",
       "252  Frame(60B)  \n",
       "277  Frame(60B)  \n",
       "278  Frame(10B)  \n",
       "258  Frame(60B)  \n",
       "271  Frame(60B)  \n",
       "272  Frame(10B)  \n",
       "28   Frame(60B)  \n",
       "267  Frame(60B)  \n",
       "280  Frame(60B)  \n",
       "261  Frame(60B)  \n",
       "266  Frame(60B)  \n",
       "30   Frame(60B)  \n",
       "29   Frame(60B)  \n",
       "31   Frame(60B)  \n",
       "32   Frame(60B)  \n",
       "255  Frame(60B)  \n",
       "268  Frame(60B)  \n",
       "307  Frame(20B)  \n",
       "33   Frame(60B)  \n",
       "34   Frame(60B)  \n",
       "35   Frame(60B)  \n",
       "36   Frame(60B)  \n",
       "38   Frame(60B)  \n",
       "37   Frame(60B)  \n",
       "39   Frame(60B)  \n",
       "40   Frame(60B)  \n",
       "41   Frame(60B)  \n",
       "42   Frame(60B)  \n",
       "43   Frame(60B)  \n",
       "44   Frame(60B)  \n",
       "45   Frame(60B)  \n",
       "46   Frame(60B)  \n",
       "295  Frame(10B)  \n",
       "270  Frame(60B)  \n",
       "282  Frame(60B)  \n",
       "47   Frame(60B)  \n",
       "289  Frame(60B)  \n",
       "48   Frame(60B)  \n",
       "49   Frame(60B)  \n",
       "256  Frame(60B)  \n",
       "265  Frame(60B)  \n",
       "276  Frame(60B)  \n",
       "308  Frame(20B)  \n",
       "50   Frame(60B)  \n",
       "259  Frame(60B)  \n",
       "281  Frame(60B)  \n",
       "51   Frame(60B)  \n",
       "262  Frame(60B)  \n",
       "274  Frame(60B)  \n",
       "273  Frame(60B)  \n",
       "52   Frame(60B)  \n",
       "53   Frame(60B)  \n",
       "54   Frame(60B)  \n",
       "55   Frame(60B)  \n",
       "56   Frame(60B)  \n",
       "57   Frame(60B)  \n",
       "58   Frame(60B)  \n",
       "59   Frame(60B)  \n",
       "60   Frame(60B)  \n",
       "61   Frame(60B)  \n",
       "62   Frame(60B)  \n",
       "63   Frame(60B)  \n",
       "64   Frame(60B)  \n",
       "292  Frame(60B)  \n",
       "65   Frame(60B)  \n",
       "66   Frame(60B)  \n",
       "286  Frame(60B)  \n",
       "67   Frame(60B)  \n",
       "68   Frame(60B)  \n",
       "296  Frame(10B)  \n",
       "257  Frame(60B)  \n",
       "309  Frame(20B)  \n",
       "264  Frame(60B)  \n",
       "69   Frame(60B)  \n",
       "291  Frame(60B)  \n",
       "70   Frame(60B)  \n",
       "71   Frame(60B)  \n",
       "72   Frame(60B)  \n",
       "0    Frame(60B)  \n",
       "2    Frame(20B)  \n",
       "1    Frame(10B)  \n",
       "288  Frame(60B)  \n",
       "285  Frame(10B)  \n",
       "284  Frame(60B)  \n",
       "73   Frame(60B)  \n",
       "74   Frame(60B)  \n",
       "75   Frame(60B)  \n",
       "76   Frame(60B)  \n",
       "77   Frame(60B)  \n",
       "78   Frame(60B)  \n",
       "79   Frame(60B)  \n",
       "80   Frame(60B)  \n",
       "81   Frame(60B)  \n",
       "254  Frame(60B)  \n",
       "297  Frame(20B)  \n",
       "299  Frame(20B)  \n",
       "298  Frame(20B)  \n",
       "82   Frame(60B)  \n",
       "83   Frame(60B)  \n",
       "84   Frame(60B)  \n",
       "85   Frame(60B)  \n",
       "253  Frame(60B)  \n",
       "263  Frame(60B)  \n",
       "287  Frame(60B)  \n",
       "96   Frame(60B)  \n",
       "86   Frame(60B)  \n",
       "87   Frame(60B)  \n",
       "88   Frame(60B)  \n",
       "89   Frame(60B)  \n",
       "90   Frame(60B)  \n",
       "91   Frame(60B)  \n",
       "92   Frame(60B)  \n",
       "93   Frame(60B)  \n",
       "94   Frame(60B)  \n",
       "95   Frame(60B)  \n",
       "107  Frame(60B)  \n",
       "97   Frame(60B)  \n",
       "98   Frame(60B)  \n",
       "99   Frame(60B)  \n",
       "100  Frame(60B)  \n",
       "101  Frame(60B)  \n",
       "102  Frame(60B)  \n",
       "103  Frame(60B)  \n",
       "104  Frame(60B)  \n",
       "105  Frame(60B)  \n",
       "106  Frame(60B)  \n",
       "115  Frame(60B)  \n",
       "108  Frame(60B)  \n",
       "109  Frame(60B)  \n",
       "110  Frame(60B)  \n",
       "111  Frame(60B)  \n",
       "112  Frame(60B)  \n",
       "113  Frame(60B)  \n",
       "114  Frame(60B)  \n",
       "116  Frame(60B)  \n",
       "117  Frame(60B)  \n",
       "118  Frame(60B)  \n",
       "119  Frame(60B)  \n",
       "120  Frame(60B)  \n",
       "121  Frame(60B)  \n",
       "132  Frame(60B)  \n",
       "122  Frame(60B)  \n",
       "123  Frame(60B)  \n",
       "124  Frame(60B)  \n",
       "125  Frame(60B)  \n",
       "126  Frame(60B)  \n",
       "127  Frame(60B)  \n",
       "128  Frame(60B)  \n",
       "129  Frame(60B)  \n",
       "130  Frame(60B)  \n",
       "131  Frame(60B)  \n",
       "143  Frame(60B)  \n",
       "133  Frame(60B)  \n",
       "134  Frame(60B)  \n",
       "135  Frame(60B)  \n",
       "136  Frame(60B)  \n",
       "137  Frame(60B)  \n",
       "138  Frame(60B)  \n",
       "139  Frame(60B)  \n",
       "140  Frame(60B)  \n",
       "141  Frame(60B)  \n",
       "142  Frame(60B)  \n",
       "151  Frame(60B)  \n",
       "144  Frame(60B)  \n",
       "145  Frame(60B)  \n",
       "146  Frame(60B)  \n",
       "147  Frame(60B)  \n",
       "148  Frame(60B)  \n",
       "149  Frame(60B)  \n",
       "150  Frame(60B)  \n",
       "152  Frame(60B)  \n",
       "153  Frame(60B)  \n",
       "154  Frame(60B)  \n",
       "155  Frame(60B)  \n",
       "156  Frame(60B)  \n",
       "157  Frame(60B)  \n",
       "158  Frame(60B)  \n",
       "159  Frame(60B)  \n",
       "160  Frame(60B)  \n",
       "161  Frame(60B)  \n",
       "162  Frame(60B)  \n",
       "163  Frame(60B)  \n",
       "164  Frame(60B)  \n",
       "165  Frame(60B)  \n",
       "166  Frame(60B)  \n",
       "167  Frame(60B)  \n",
       "168  Frame(60B)  \n",
       "169  Frame(60B)  \n",
       "170  Frame(60B)  \n",
       "171  Frame(60B)  \n",
       "172  Frame(60B)  \n",
       "173  Frame(60B)  \n",
       "174  Frame(60B)  \n",
       "175  Frame(60B)  \n",
       "176  Frame(60B)  \n",
       "177  Frame(60B)  \n",
       "178  Frame(60B)  \n",
       "179  Frame(60B)  \n",
       "180  Frame(60B)  \n",
       "181  Frame(60B)  \n",
       "182  Frame(60B)  \n",
       "183  Frame(60B)  \n",
       "184  Frame(60B)  \n",
       "185  Frame(60B)  \n",
       "186  Frame(60B)  \n",
       "187  Frame(60B)  \n",
       "188  Frame(60B)  \n",
       "189  Frame(60B)  \n",
       "190  Frame(60B)  \n",
       "191  Frame(60B)  \n",
       "192  Frame(60B)  \n",
       "193  Frame(60B)  \n",
       "194  Frame(60B)  \n",
       "195  Frame(60B)  \n",
       "196  Frame(60B)  \n",
       "197  Frame(60B)  \n",
       "198  Frame(60B)  \n",
       "199  Frame(60B)  \n",
       "200  Frame(60B)  \n",
       "201  Frame(60B)  \n",
       "202  Frame(60B)  \n",
       "203  Frame(60B)  \n",
       "204  Frame(60B)  \n",
       "205  Frame(60B)  \n",
       "206  Frame(60B)  \n",
       "207  Frame(60B)  \n",
       "208  Frame(60B)  \n",
       "209  Frame(60B)  \n",
       "210  Frame(60B)  \n",
       "211  Frame(60B)  \n",
       "212  Frame(60B)  \n",
       "213  Frame(60B)  \n",
       "214  Frame(60B)  \n",
       "215  Frame(60B)  \n",
       "216  Frame(60B)  \n",
       "217  Frame(60B)  \n",
       "218  Frame(60B)  \n",
       "219  Frame(60B)  \n",
       "220  Frame(60B)  \n",
       "221  Frame(60B)  \n",
       "222  Frame(60B)  \n",
       "223  Frame(60B)  \n",
       "224  Frame(60B)  \n",
       "225  Frame(60B)  \n",
       "226  Frame(60B)  \n",
       "227  Frame(60B)  \n",
       "228  Frame(60B)  \n",
       "229  Frame(60B)  \n",
       "230  Frame(60B)  \n",
       "231  Frame(60B)  \n",
       "232  Frame(60B)  \n",
       "233  Frame(60B)  \n",
       "234  Frame(60B)  \n",
       "235  Frame(60B)  \n",
       "236  Frame(60B)  \n",
       "237  Frame(60B)  \n",
       "238  Frame(60B)  \n",
       "239  Frame(60B)  \n",
       "240  Frame(60B)  \n",
       "241  Frame(60B)  \n",
       "242  Frame(60B)  \n",
       "300  Frame(20B)  \n",
       "269  Frame(60B)  \n",
       "243  Frame(60B)  \n",
       "301  Frame(20B)  \n",
       "302  Frame(20B)  \n",
       "244  Frame(60B)  \n",
       "245  Frame(60B)  \n",
       "304  Frame(20B)  \n",
       "303  Frame(20B)  \n",
       "306  Frame(20B)  \n",
       "305  Frame(20B)  \n",
       "246  Frame(60B)  \n",
       "247  Frame(60B)  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "channel_table = summarize(f.channels, name='Name', long_name='Long name', units='Units',\n",
    "                                      dimension='Dimension', frame='Frame')\n",
    "channel_table.sort_values('Name')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are clearly a lot of parameters and channels available in our DLIS file. However, we will soon see how we can find shorter, more managable lists of parameters and channels belonging to a particular tool that we are interested in.\n",
    "\n",
    "\n",
    "## Explore tools\n",
    "\n",
    "DLIS files contain information about which tools were present on the toolstring during the logging run(s) stored in the file. dlisio exposes this information as [Tool objects](https://dlisio.readthedocs.io/en/latest/dlis/api.html#tool).\n",
    "\n",
    "Similarly to before, we use `f.tools` to get a sequence of tools and use `summarize()` to compile a table out of it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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></th>\n",
       "      <th>Name</th>\n",
       "      <th>Generic name</th>\n",
       "      <th>Trademark name</th>\n",
       "      <th>Description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ACTS-B</td>\n",
       "      <td>ACTS</td>\n",
       "      <td></td>\n",
       "      <td>Auxiliary Compression Tension Sub - B (Only ex...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CALY</td>\n",
       "      <td>CCL</td>\n",
       "      <td>CAL-Y</td>\n",
       "      <td>Casing Anomaly Locator 3-3/8 in 31 Pin Heads</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DSLT-H</td>\n",
       "      <td>SONIC</td>\n",
       "      <td>DSLT-H</td>\n",
       "      <td>Digitizing Sonic Logging Tool - H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DTC-H</td>\n",
       "      <td></td>\n",
       "      <td>DTC-H</td>\n",
       "      <td>Digital Telemetry Cartridge - Version H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>LEHQT</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Logging Equipment Head - QT, 3-3/8 inch 31 pin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SGTN</td>\n",
       "      <td>GR</td>\n",
       "      <td>SGT-N</td>\n",
       "      <td>Scintillation Gamma-Ray Tool</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>USIT</td>\n",
       "      <td>USIT-E</td>\n",
       "      <td>USIT-E</td>\n",
       "      <td>Ultrasonic Imaging</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Name Generic name Trademark name  \\\n",
       "4  ACTS-B         ACTS                  \n",
       "5    CALY          CCL          CAL-Y   \n",
       "1  DSLT-H        SONIC         DSLT-H   \n",
       "3   DTC-H                       DTC-H   \n",
       "6   LEHQT                               \n",
       "2    SGTN           GR          SGT-N   \n",
       "0    USIT       USIT-E         USIT-E   \n",
       "\n",
       "                                         Description  \n",
       "4  Auxiliary Compression Tension Sub - B (Only ex...  \n",
       "5       Casing Anomaly Locator 3-3/8 in 31 Pin Heads  \n",
       "1                  Digitizing Sonic Logging Tool - H  \n",
       "3            Digital Telemetry Cartridge - Version H  \n",
       "6  Logging Equipment Head - QT, 3-3/8 inch 31 pin...  \n",
       "2                       Scintillation Gamma-Ray Tool  \n",
       "0                                 Ultrasonic Imaging  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tool_table = summarize(f.tools, name='Name', generic_name='Generic name',\n",
    "                                trademark_name='Trademark name', description='Description')\n",
    "tool_table.sort_values('Name')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Investigating the sonic tool\n",
    "\n",
    "The sonic tool's name is \"DSLT\", which is short for \"Digitizing Sonic Logging Tool\". Section 15-4.4 of the book [Well Cementing](https://www.slb.com/resource-library/book/well-cementing) from 2006, edited by Erik B. Nelson and Domonique Guillot and published by Schlumberger, gives a good overview of the workings of such tools.\n",
    "\n",
    "In short, an acoustic transmitter on the tool emits an acoustic pulse that travels along the wellbore. The acoustic pulse reaches two acoustic receivers on the tool, whose distances to the transmitter are 3&nbsp;ft and 5&nbsp;ft. The waveforms recorded by the receivers are then analysed to draw out information about the well integrity.\n",
    "\n",
    "We will get back to the waveforms and what can be drawn from them, but let us first get an overview of the data we have from the sonic tool. Let us look at the overall description of this tool and its data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "----\n",
       "Tool\n",
       "----\n",
       "name   : DSLT-H\n",
       "origin : 57\n",
       "copy   : 0\n",
       "\n",
       "Description    : Digitizing Sonic Logging Tool - H\n",
       "Trademark name : DSLT-H\n",
       "Generic name   : SONIC\n",
       "\n",
       "Channels   : BI   TT1  TTSL WF2  VDL  WF1  TT2  CBL  WDE1 WF2N CBLF WDE2 CBSL\n",
       "             WF1N CMCG TT   TT2S\n",
       "Parameters : MODE           DSIN           WMOD           SGDT           SPSO\n",
       "             ZCMT           SFAF           SGW            DDEL           CBRA\n",
       "             ENABLED        SDTH           CMCF           FCF            SGAD\n",
       "             DTFS           MAX_TOOL_SPEED NMXG           MSA            MAHTR\n",
       "             DTCM           RATE           ITTS           DWCO           AMSG\n",
       "             SGAI           GOBO           CBLG           MNHTR          MCI\n",
       "             BILI           SGCL           SGCW           NMSG           MATT\n",
       "             VDLG           SUTH           NUMP           DETE           SLEV\n",
       "             FATT\n",
       "Parts      : SLS-E  ECH-KH DSLC-H\n"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dslt = f.object('TOOL', 'DSLT-H')\n",
    "dslt.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let us look at the sonic tool parameters in more detail:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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></th>\n",
       "      <th>Name</th>\n",
       "      <th>Long name</th>\n",
       "      <th>Value(s)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>AMSG</td>\n",
       "      <td>Auxiliary Minimum Sliding Gate</td>\n",
       "      <td>[180.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>BILI</td>\n",
       "      <td>Bond Index Level for Zone Isolation</td>\n",
       "      <td>[0.800000011920929]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>CBLG</td>\n",
       "      <td>CBL Gate Width</td>\n",
       "      <td>[45.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>CBRA</td>\n",
       "      <td>CBL LQC Reference Amplitude in Free Pipe</td>\n",
       "      <td>[53.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>CMCF</td>\n",
       "      <td>CBL Cement Type Compensation Factor</td>\n",
       "      <td>[0.678943395614624]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>DDEL</td>\n",
       "      <td>Digitizing Delay</td>\n",
       "      <td>[0.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>DETE</td>\n",
       "      <td>Delta-T Detection</td>\n",
       "      <td>[E1]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DSIN</td>\n",
       "      <td>Digitizer Sample Interval</td>\n",
       "      <td>[10.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>DTCM</td>\n",
       "      <td>Delta-T Computation Mode</td>\n",
       "      <td>[FULL]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>DTFS</td>\n",
       "      <td>DSLT Telemetry Frame Size</td>\n",
       "      <td>[536]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>DWCO</td>\n",
       "      <td>Digitizer Word Count</td>\n",
       "      <td>[250]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[Yes]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>FATT</td>\n",
       "      <td>Acoustic Attenuation due to Fluid</td>\n",
       "      <td>[0.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>FCF</td>\n",
       "      <td>CBL Fluid Compensation Factor</td>\n",
       "      <td>[1.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>GOBO</td>\n",
       "      <td>Good Bond</td>\n",
       "      <td>[6.259347438812256]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>ITTS</td>\n",
       "      <td>Integrated Transit Time Source</td>\n",
       "      <td>[DT]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>MAHTR</td>\n",
       "      <td>Manual High Threshold Reference for first arri...</td>\n",
       "      <td>[120]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>MATT</td>\n",
       "      <td>Maximum Attenuation</td>\n",
       "      <td>[23.392528533935547]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>MAX_TOOL_SPEED</td>\n",
       "      <td>Maximum service speed allowed for, or attained...</td>\n",
       "      <td>[1371.5999755859375]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>MCI</td>\n",
       "      <td>Minimum Cemented Interval for Isolation</td>\n",
       "      <td>[4.515231132507324]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>MNHTR</td>\n",
       "      <td>Minimum High Threshold Reference for first arr...</td>\n",
       "      <td>[100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MODE</td>\n",
       "      <td>Sonic Firing Mode (e.g. DDBHC = Depth-Derived ...</td>\n",
       "      <td>[CBL]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>MSA</td>\n",
       "      <td>Minimum Sonic Amplitude</td>\n",
       "      <td>[3.669377088546753]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>NMSG</td>\n",
       "      <td>Near Minimum Sliding Gate</td>\n",
       "      <td>[344]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>NMXG</td>\n",
       "      <td>Near Maximum Sliding Gate</td>\n",
       "      <td>[1026]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>NUMP</td>\n",
       "      <td>Number of Detection Passes</td>\n",
       "      <td>[2]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>RATE</td>\n",
       "      <td>Firing Rate</td>\n",
       "      <td>[R15]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>SDTH</td>\n",
       "      <td>Switch Down Threshold</td>\n",
       "      <td>[20000]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>SFAF</td>\n",
       "      <td>Sonic Formation Attenuation Factor</td>\n",
       "      <td>[10.662729263305664]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>SGAD</td>\n",
       "      <td>Sliding Gate Status</td>\n",
       "      <td>[OFF]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>SGAI</td>\n",
       "      <td>Selectable Acquisition Gain</td>\n",
       "      <td>[1X]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>SGCL</td>\n",
       "      <td>Sliding Gate Closing Delta-T</td>\n",
       "      <td>[130]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>SGCW</td>\n",
       "      <td>Sliding Gate Closing Width</td>\n",
       "      <td>[25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SGDT</td>\n",
       "      <td>Sliding Gate Delta-T</td>\n",
       "      <td>[57]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>SGW</td>\n",
       "      <td>Sliding Gate Width</td>\n",
       "      <td>[110]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>SLEV</td>\n",
       "      <td>Signal Level for AGC</td>\n",
       "      <td>[5000.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SPSO</td>\n",
       "      <td>Sonic Porosity Source</td>\n",
       "      <td>[DT]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>SUTH</td>\n",
       "      <td>Switch Up Threshold</td>\n",
       "      <td>[1000]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>VDLG</td>\n",
       "      <td>VDL Manual Gain</td>\n",
       "      <td>[5.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>WMOD</td>\n",
       "      <td>Waveform Firing Mode</td>\n",
       "      <td>[FULL]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ZCMT</td>\n",
       "      <td>Acoustic Impedance of Cement</td>\n",
       "      <td>[5.599999904632568]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name                                          Long name  \\\n",
       "24            AMSG                     Auxiliary Minimum Sliding Gate   \n",
       "30            BILI                Bond Index Level for Zone Isolation   \n",
       "27            CBLG                                     CBL Gate Width   \n",
       "9             CBRA           CBL LQC Reference Amplitude in Free Pipe   \n",
       "12            CMCF                CBL Cement Type Compensation Factor   \n",
       "8             DDEL                                   Digitizing Delay   \n",
       "38            DETE                                  Delta-T Detection   \n",
       "1             DSIN                          Digitizer Sample Interval   \n",
       "20            DTCM                           Delta-T Computation Mode   \n",
       "15            DTFS                          DSLT Telemetry Frame Size   \n",
       "23            DWCO                               Digitizer Word Count   \n",
       "10         ENABLED        Equipment or Computation Acquisition Status   \n",
       "40            FATT                  Acoustic Attenuation due to Fluid   \n",
       "13             FCF                      CBL Fluid Compensation Factor   \n",
       "26            GOBO                                          Good Bond   \n",
       "22            ITTS                     Integrated Transit Time Source   \n",
       "19           MAHTR  Manual High Threshold Reference for first arri...   \n",
       "34            MATT                                Maximum Attenuation   \n",
       "16  MAX_TOOL_SPEED  Maximum service speed allowed for, or attained...   \n",
       "29             MCI            Minimum Cemented Interval for Isolation   \n",
       "28           MNHTR  Minimum High Threshold Reference for first arr...   \n",
       "0             MODE  Sonic Firing Mode (e.g. DDBHC = Depth-Derived ...   \n",
       "18             MSA                            Minimum Sonic Amplitude   \n",
       "33            NMSG                          Near Minimum Sliding Gate   \n",
       "17            NMXG                          Near Maximum Sliding Gate   \n",
       "37            NUMP                         Number of Detection Passes   \n",
       "21            RATE                                        Firing Rate   \n",
       "11            SDTH                              Switch Down Threshold   \n",
       "6             SFAF                 Sonic Formation Attenuation Factor   \n",
       "14            SGAD                                Sliding Gate Status   \n",
       "25            SGAI                        Selectable Acquisition Gain   \n",
       "31            SGCL                       Sliding Gate Closing Delta-T   \n",
       "32            SGCW                         Sliding Gate Closing Width   \n",
       "3             SGDT                               Sliding Gate Delta-T   \n",
       "7              SGW                                 Sliding Gate Width   \n",
       "39            SLEV                               Signal Level for AGC   \n",
       "4             SPSO                              Sonic Porosity Source   \n",
       "36            SUTH                                Switch Up Threshold   \n",
       "35            VDLG                                    VDL Manual Gain   \n",
       "2             WMOD                               Waveform Firing Mode   \n",
       "5             ZCMT                       Acoustic Impedance of Cement   \n",
       "\n",
       "                Value(s)  \n",
       "24               [180.0]  \n",
       "30   [0.800000011920929]  \n",
       "27                [45.0]  \n",
       "9                 [53.0]  \n",
       "12   [0.678943395614624]  \n",
       "8                  [0.0]  \n",
       "38                  [E1]  \n",
       "1                 [10.0]  \n",
       "20                [FULL]  \n",
       "15                 [536]  \n",
       "23                 [250]  \n",
       "10                 [Yes]  \n",
       "40                 [0.0]  \n",
       "13                 [1.0]  \n",
       "26   [6.259347438812256]  \n",
       "22                  [DT]  \n",
       "19                 [120]  \n",
       "34  [23.392528533935547]  \n",
       "16  [1371.5999755859375]  \n",
       "29   [4.515231132507324]  \n",
       "28                 [100]  \n",
       "0                  [CBL]  \n",
       "18   [3.669377088546753]  \n",
       "33                 [344]  \n",
       "17                [1026]  \n",
       "37                   [2]  \n",
       "21                 [R15]  \n",
       "11               [20000]  \n",
       "6   [10.662729263305664]  \n",
       "14                 [OFF]  \n",
       "25                  [1X]  \n",
       "31                 [130]  \n",
       "32                  [25]  \n",
       "3                   [57]  \n",
       "7                  [110]  \n",
       "39              [5000.0]  \n",
       "4                   [DT]  \n",
       "36                [1000]  \n",
       "35                 [5.0]  \n",
       "2                 [FULL]  \n",
       "5    [5.599999904632568]  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dslt_param_table = summarize(dslt.parameters, name='Name', long_name='Long name', values='Value(s)')\n",
    "dslt_param_table.sort_values('Name')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, let us look at the sonic tool channels in more detail:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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></th>\n",
       "      <th>Name</th>\n",
       "      <th>Long name</th>\n",
       "      <th>Units</th>\n",
       "      <th>Dimension</th>\n",
       "      <th>Frame</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BI</td>\n",
       "      <td>Bond Index</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>CBL</td>\n",
       "      <td>CBL Amplitude</td>\n",
       "      <td>mV</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>CBLF</td>\n",
       "      <td>CBL Amplitude (Fluid Compensated)</td>\n",
       "      <td>mV</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>CBSL</td>\n",
       "      <td>CBL Amplitude (Sliding Gate)</td>\n",
       "      <td>mV</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>CMCG</td>\n",
       "      <td>CBL Cement Type Compensation Gain</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>TT</td>\n",
       "      <td>Transit Time for CBL</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TT1</td>\n",
       "      <td>Transit Time 1</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>TT2</td>\n",
       "      <td>Transit Time 2</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>TT2S</td>\n",
       "      <td>Transit Time 2 Secondary</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TTSL</td>\n",
       "      <td>Transit Time (Sliding Gate)</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>VDL</td>\n",
       "      <td>Variable Density Log</td>\n",
       "      <td></td>\n",
       "      <td>[500]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>WDE1</td>\n",
       "      <td>Waveform Delay 1</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>WDE2</td>\n",
       "      <td>Waveform Delay 2</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>WF1</td>\n",
       "      <td>Waveform 1</td>\n",
       "      <td></td>\n",
       "      <td>[250]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>WF1N</td>\n",
       "      <td>Waveform 1 Normalization Factor</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>WF2</td>\n",
       "      <td>Waveform 2</td>\n",
       "      <td></td>\n",
       "      <td>[250]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>WF2N</td>\n",
       "      <td>Waveform 2 Normalization Factor</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(20B)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Name                          Long name Units Dimension       Frame\n",
       "0     BI                         Bond Index             [1]  Frame(60B)\n",
       "7    CBL                      CBL Amplitude    mV       [1]  Frame(60B)\n",
       "10  CBLF  CBL Amplitude (Fluid Compensated)    mV       [1]  Frame(60B)\n",
       "12  CBSL       CBL Amplitude (Sliding Gate)    mV       [1]  Frame(60B)\n",
       "14  CMCG  CBL Cement Type Compensation Gain             [1]  Frame(60B)\n",
       "15    TT               Transit Time for CBL    us       [1]  Frame(60B)\n",
       "1    TT1                     Transit Time 1    us       [1]  Frame(20B)\n",
       "6    TT2                     Transit Time 2    us       [1]  Frame(20B)\n",
       "16  TT2S           Transit Time 2 Secondary    us       [1]  Frame(20B)\n",
       "2   TTSL        Transit Time (Sliding Gate)    us       [1]  Frame(60B)\n",
       "4    VDL               Variable Density Log           [500]  Frame(20B)\n",
       "8   WDE1                   Waveform Delay 1    us       [1]  Frame(20B)\n",
       "11  WDE2                   Waveform Delay 2    us       [1]  Frame(20B)\n",
       "5    WF1                         Waveform 1           [250]  Frame(20B)\n",
       "13  WF1N    Waveform 1 Normalization Factor             [1]  Frame(20B)\n",
       "3    WF2                         Waveform 2           [250]  Frame(20B)\n",
       "9   WF2N    Waveform 2 Normalization Factor             [1]  Frame(20B)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dslt_channel_table = summarize(dslt.channels, name='Name', long_name='Long name', units='Units',\n",
    "                                              dimension='Dimension', frame='Frame')\n",
    "dslt_channel_table.sort_values('Name')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Investigating sonic waveforms\n",
    "\n",
    "We can see here that we have two channels `WF1` and `WF2`, called \"Waveform 1\" and \"Waveform 2\" respectively. Each channel has a number of samples per depth that corresponds to the `DWCO` (‘Digitizer Word Count’) parameter. We may expect that these channels contain recorded waveforms from the two receivers, but it's hard to say which channel corresponds to which receiver. Let's investigate further.\n",
    "\n",
    "Both channels are a part of the Frame `20B`. This is convenient, as it means that they share the same index. Let us create some convenience functions to get the index and a named channel from a given frame, and use them to get the depth index, `WF1`, and `WF2` as Channel objects:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def index_of(frame):\n",
    "    \"\"\"Return the index channel of the frame\"\"\"\n",
    "    return next(ch for ch in frame.channels if ch.name == frame.index)\n",
    "\n",
    "def get_channel(frame, name):\n",
    "    \"\"\"Get a channel with a given name from a given frame; fail if the frame does not have exactly one such channel\"\"\"\n",
    "    [channel] = [x for x in frame.channels if x.name == name]\n",
    "    return channel\n",
    "\n",
    "# Get 20B and its index channel\n",
    "frame20B = f.object('FRAME', '20B')\n",
    "index20B = index_of(frame20B)\n",
    "\n",
    "# Get the metadata related to WF1 and WF2\n",
    "wf1 = get_channel(frame20B, 'WF1')\n",
    "wf2 = get_channel(frame20B, 'WF2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can extract all the curves in the Frame as a numpy structured array `curves20B`, whose field names are the names of the channels in the frame. This lets us look up the curves of any channel in the frame as e.g. `curves20B['WF1']`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "curves20B = frame20B.curves()\n",
    "\n",
    "# Convert the index to metres if needed\n",
    "if index20B.units == '0.1 in':\n",
    "    curves20B[frame20B.index] *= 0.00254"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As a simple example, we can look up the shapes of the curves of the frame's index channel, `WF1`, and `WF2`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of depth index curve array: (13746,)\n",
      "Shape of WF1 curve array:         (13746, 250)\n",
      "Shape of WF2 curve array:         (13746, 250)\n"
     ]
    }
   ],
   "source": [
    "print('Shape of depth index curve array:', curves20B[frame20B.index].shape)\n",
    "print('Shape of WF1 curve array:        ', curves20B['WF1'].shape)\n",
    "print('Shape of WF2 curve array:        ', curves20B['WF2'].shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The waveform channels' curves contain two-dimensional arrays, e.g. `WF1`$(i,k)$, where $i$ indexes the depths and $k$ indexes the waveform samples. The actual depth $z_i$ can be found from the curve array of the index channel (in this case called `TDEP`) as\n",
    "\n",
    "$$z_i = \\mathrm{TDEP}(i) .$$\n",
    "\n",
    "Next, we create a helper function for plotting two-dimensional arrays as images and use it to plot `WF1` and `WF2`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "def paint_channel(ax, curve, y_axis, x_axis, **kwargs):\n",
    "    \"\"\"Plot an image channel into an axes using an index channel for the y-axis\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    \n",
    "        ax : matplotlib.axes\n",
    "        \n",
    "        curve : numpy array\n",
    "            The curve to be plotted\n",
    "        \n",
    "        index : numpy array \n",
    "            The depth index as a Channel object (slower) or a numpy array (faster)\n",
    "        \n",
    "        **kwargs : dict \n",
    "            Keyword arguments to be passed on to ax.imshow()\n",
    "    \"\"\"\n",
    "    # Determine the extent of the image so that the pixel centres correspond with the correct axis values\n",
    "    dx = np.mean(x_axis[1:] - x_axis[:-1])\n",
    "    dy = np.mean(y_axis[1:] - y_axis[:-1])\n",
    "    extent = (x_axis[0] - dx/2, x_axis[-1] + dx/2, y_axis[0] - dy/2, y_axis[-1] + dy/2)\n",
    "    \n",
    "    # Determine the correct orientation of the image\n",
    "    if y_axis[1] < y_axis[0]:   # Frame recorded from the bottom to the top of the well\n",
    "        origin = 'lower'\n",
    "    else:                       # Frame recorded from the top to the bottom of the well\n",
    "        origin = 'upper'\n",
    "    \n",
    "    return ax.imshow(curve, aspect='auto', origin=origin, extent=extent, **kwargs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 450x600 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Determine the maximum absolute value of WF1 and WF2 so that we can balance the colormap around 0\n",
    "wf_max = max(np.max(np.abs(curves20B['WF1'])), np.max(np.abs(curves20B['WF2'])))\n",
    "wf_lim = 0.5 * wf_max\n",
    "\n",
    "# Parameters for plotting the waveforms\n",
    "wf_pltargs = {\n",
    "    'cmap': 'seismic',\n",
    "    'vmin': -wf_lim,\n",
    "    'vmax': wf_lim,\n",
    "}\n",
    "\n",
    "wf_samples = np.arange(wf1.dimension[0])   # x values to use in plotting\n",
    "\n",
    "# Create figure and axes\n",
    "fig, axes = plt.subplots(ncols=2, sharey=True, figsize=(9, 12), constrained_layout=True)\n",
    "\n",
    "# Plot WF1 as an image\n",
    "ax = axes[0]\n",
    "im = paint_channel(ax, curves20B['WF1'], curves20B[frame20B.index], wf_samples, **wf_pltargs)\n",
    "cbar = fig.colorbar(im, ax=ax, location='top')\n",
    "cbar.set_label(f'{wf1.name}: {wf1.long_name}')\n",
    "ax.set_ylabel('Depth $z$ [m]')\n",
    "\n",
    "# Plot WF2 as an image\n",
    "ax = axes[1]\n",
    "im = paint_channel(ax, curves20B['WF2'], curves20B[frame20B.index], wf_samples, **wf_pltargs)\n",
    "cbar = fig.colorbar(im, ax=ax, location='top')\n",
    "cbar.set_label(f'{wf2.name}: {wf2.long_name}')\n",
    "\n",
    "for ax in axes:\n",
    "    ax.set_xlabel('Sample $k$')\n",
    "    ax.grid(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This shows us the `WF1` and `WF2` waveforms recorded by the two receivers. These two channels do not have any units, so it is not yet clear how to convert them to physical units such as millivolts, except that it should involve some scaling factor.\n",
    "\n",
    "We do not yet know which of these waveforms corresponds to the near and far receiver. Comparing them, we can make a few observations:\n",
    "\n",
    "* The waveforms arrive earlier in `WF2` than in `WF1`.\n",
    "* The waveforms are stronger in `WF2` than in `WF1`.\n",
    "* Some components of the waveforms travel through fast paths and arrive early, while other components travel through slower paths and arrive later. The spread between the components is larger in `WF1` than in `WF2`, indicating that `WF1` has been measured further away.\n",
    "\n",
    "These observations all tell us that `WF1` represents the far transducer at 5&nbsp;ft, while `WF2` represents the near transducer at 3&nbsp;ft.\n",
    "\n",
    "\n",
    "### Finding the time axis of the sonic waveforms\n",
    "\n",
    "While this shows us how to find the waveforms at every depth, we don't yet know what sampling rate they were measured at. Thus, we have no time axis for the waveforms. To solve this, let's look at time-related channels and parameters.\n",
    "\n",
    "According to section Section 15-4.4.2.5 of [Well Cementing](https://www.slb.com/resource-library/book/well-cementing), the *transit time* represents the elapsed time between the transmitter firing a pulse and the first arrival of the pulse in the receiver. Among the sonic tool's channels, we have two transit time channels `TT1` and `TT2` in frame `20B`, which we can assume correspond to `WF1` and `WF2` respectively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get the metadata related to TT1 and TT2\n",
    "tt1 = get_channel(frame20B, 'TT1')\n",
    "tt2 = get_channel(frame20B, 'TT2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's assume that both waveforms start at $t=0$, when the transmitter fires the pulse. (This may also be what the `DDEL` (\"Digitizing Delay\") parameter tells us with its value of 0.) The `DSIN` (\"Digitizer Sample Interval\") parameter may be telling us that the sampling period is 10&nbsp;µs, corresponding to a sampling rate of 100&nbsp;kHz. To check this, we can assume these values to be true and see if we get a good fit between the transit times and the first arrivals in the waveforms."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "wf_Ts = 10e-6     # Assumed waveform sampling period in seconds, i.e. time between samples\n",
    "wf_Fs = 1/wf_Ts   # Assumed waveform sampling rate in Hertz, i.e. frequency of sampling\n",
    "wf_t = wf_Ts * np.arange(wf1.dimension[0])   # Assumed time axis for the waveforms"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To check whether our assumed sampling rate is correct, we can plot the travel time over the waveforms."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbwAAAJSCAYAAAC4FnCwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAexAAAHsQEGxWGGAAEAAElEQVR4nOz9f3xb5X33jz8lH8nHsqzIjhwLRwkiOMEEJwQaSqChS2nahkE3utGN3qO76UZ3s7vd1u7utm6fdu02Plv7Wb9bt7G73Ft/sI7do2tWWJetaWFtBikEEsAFE0RigkiEI8eKrdjH8rF8LH3/eF/XdY4UO3G69V5zL9fjEbB0js6P67rev1/v9ztUr9e5MC6MC+PCuDAujP/bR/g/+gEujAvjwrgwLowL4//EuCDwLowL48K4MC6M/xTjgsC7MC6MC+PCuDD+U4wLAu/CuDAujAvjwvhPMS4IvB/wCIVCnw+FQteqvz8UCoW+of4OhUKhg+rvw6FQaI/696vqu2+HQqFyKBS65RzvtyMUCr1L/f0Lge/3hEKh+CK/+UV1PBd4ll/9/t74tGt/NBQKXRIKhbKhUOjtTccuCbz3lPr/t/Rv/h3uvSwUCj0dCoWcUCg08G+93oXxf2Z8PzSj9tLjoVDoX0Oh0D+FQqFl53C/CzTjX/+NoVDoyVAo9FgoFPrbUCgU+bde84dq1Ov1C/9+gP+Au4BfVn9/GfhH9fdlwNfU3wcW+F0v8Engln/DvQ8E/t4DxM9y/p3AB5u+C/87zcM24DNLedZ/x7mPAN3A/cDAf/ReuPBvyet2zjQDdAJJ9fd/Az7yfd77PzvNXAS0qb//ALjtP3o//Hv+s85ZQl4Y5zr2Ab8F/CkQA14IhULrgC3q2IKjXq+PhEKhBY+FQqHfB3YBo8AQsAx4D2Kx14E4MA9cFgqF9gC/q376u6FQaDPwfL1e/+CZHlpp0k8Bp0Kh0D8BH1PP//f1ev1ToVDoTuCdQBRIAz8GzAJfU88wWa/XfzwUCt0PfAb4ReB6df+fqNfr42e4t/5NCvhNoAKsAX4f+DmEud1Ur9dPhkKh3wLeAYSAD9Tr9RcCczgHjC02jxfGD+04Z5qp1+sTgY9VoBY8foFmlkwzx880j+f7uODS/MGPg8DloVBoBXACIYhr1b8n1TnLAm6KG5dwzceBG9S/PcA16u/H9An1ev1zwMv1en1bvV7/tvr64Xq9/mbgDUtw+WSAX63X6x8Cvluv139EPfNPhkKhNnXOqXq9/k7gi8C7gauAp+v1+luAdzVd73PAV9TzLEq4C4xwvV5/F/DnwO31ev0dwN8AP67clJepZ7sduOccrnth/PCO75tmQqFQEhEU9zdd8wLNnAPNhEKhi4G3A/94Dvf9oR8XBN4PeNTr9RpQAm4Bnlb/rgWuBg6o006pTR0ktDONJ4A3AdcDnwLeDFxar9dfOcvvnlP/fx1InuXc4YDW/IZQKPQo8B0gC6xout4xRIP8V2A6FAr9DfDvEs8Anlf/Hwn8/bq633pEA94D/G9ES78wzvPx/dKMijf9DSJ0mgXEBZpZIs2EQqEE8NfAncpL8n/NuODS/D8zngJ+GXhPvV4/HgqFLgXq9Xp95vu5WL1ePxUKhTqAGWAvEusrLnTqGT6fzc8XdGX8OnA3cAR4NvDb5utF6vX67wCoQPrfBY7PAS1nuedCo77I3yEgB/xrvV6/S93z/64A+3/u8f3QzF8Af1ev1/c2H7hAM+Z+Z6SZUChkAQ8Cv1Ov11/+Pu79Qz0uWHj/Z8Y+4BJkswE4wDNn+kEoFPoi8LPAPaFQ6KMLnPIC8Hq9Xp8HXMRl0zxeDoVCfx8Khd70fT+5jL8HHgIeAKbOcN41GikHjAGFpud9QygU+qpyO/2bR71efx44rJB53wF+rfmcUCj0z4hr5i9VDOXCOD/GOdFMKBS6Afgp4H3KzfkrC5x2gWbOTjPvQazpj6t5/Ol/j/v+sIyQQuNcGBfGhXFhXBgXxv/V44KFd2FcGBfGhXFh/KcYFwTehXFhXBgXxoXxn2KcF6CVHTt+or58eZK2tuR/9KOY8fjj36Krq5s1ay75oXqu4JiZKV94tu9j/DA/2xe+8Mdfq9frP3m2897ylnfUL730iv8Tj8T4+BhPPrmHbdt20N7ecdbzf5jn98Kznfv4YX0ugEIhz+7dXzNgo/NC4GUyWX7u536OTOaHpzrUr//6XVx++Ube9rYbf6ieKzgKhaELz/Z9jB/mZ/vCF/74taWc19PTw2//9h/9oB8HgJdeep7jxwt86EOf4KKLMmc9/4d5fi8827mPH9bnAvjd323M9Ljg0rwwLowL48K4MP5TjAsC78K4MC6MC+PC+E8xzguXZoJJwmGwfkietqUFZmfLPPPME7zhDTeSSsG6lBR2GHG7KBbBtv3nXbYMOjrkO8+DYhHKZfm8bBlEIjCn6hlEInLM8+RzPC7/9GfLgpkZOHUKXFeOpVJybEal5M7Py7FaTc6Pq1oK5bJ8b9vy3dwcTE/LOa2t8jv9fm1tcs9SCSYm5HN/P0TLJ5i0VzA0JOdmMvIv7FWpEqVYhHxe7pNOQ18fxLxJACZJUCr58+g4cv3WVrj8ckhYFTnPizXMQfDd29tljlzXnx/Lks+uK88OMDoq89HdLc9hWfIe09Ny3Lb9NZqZgdlZ/z7B63qePKe+v76+nmP9vT42P994TnDPBMf8fOP99O/1Xmg+rs9Z6oh6FbPGkR9gOv7cHLS11bEtj0ikzgMPwObN8Hb367LRb7+drz2aUOfJO6xcCas5Kovvuoz3X88jj8gabNkC6+IjkE5zaDhMKiXrpE4lm4WoO0nVTjAxIb/J5+VZkknYOFCDP/gDWLuWLzo/xf798M53yj60LFiTHIfPfx7KZWr3/D533w2Dg7BpE9x3H0w+8hSrD3xbHqSvj1qyi3vugb/9W/jCF+B6+1l5CJAbl8scyd7IRz8K27bBf79jEh59FICjm3+Ce+4R+vz9D47IfW+9lX8ubMTz5JkyGdlfxaLsub4+CA8fAmB02Tpef93fq+Gw7OVo+QSkUjyxL4zrwhVXQE9E+E/F7jL8pVyW89f3VeVDMslIKUpLC3R2yn0LKutP0+kkCQoFn69Ylpyn1w/kWUslme++Ppgcm2V1psak49tP5bL8bvly6OmWY0WV5p/JQMyuUfXCTKi6NHqPajoGofXOTv978Hmofj/L8vlZMglh5F7BY8HxQyJCzjK+/GXaf+VDpNPyMUyN2n+Qcep5ELVqlI++CrbNM89M8vzz8Fule2DnTnp37mTX4BtxHCF8y5KNExt6GoaGiMbjpG/9KQYHoadHEXBpBGybWrKLsFshmY01CMVE6Yj8kUpBPk/C85hPrufAAbj0UliTrkCxSEJz/kyGQ4UYMzPCRBOFg3KxgesNcSeGn4V0mtH2XkZH5fLrslU4cEAeur+fETdhhNf27RDd9TUAZt70E7iubPbV9gl4dBAch+i2bQwOdrF3r2zAO++E2K6/g717YdMmErfdhpVOELOqnDolt3r0UXmeay86Cp/9LJRKJLZtI3HLLTxbEMHqefLq114LPaPPo7lF1U5gWRAunSBWLMqDJpOMxNexZ48Q3G23Qew7/wSjo/Ts2MGz5V7KZblnV1HmJdHfz8h8FyCv3tYGXd4JKBQhlSKe7sV1fcGmh+M0EpXnyb9EvCYcwRZto2ZFAdm3uK6cZNtUvChTU8K0bRu64lWfA2WzHC2EzT2WLYOezurSN2qxSFdS6CSsCoD8W2hmoWuEEab12mtD4Dj87m+9n1p0N/k8vD2+B+69F8bGsK/6fxgc9JnnT/4kImUGB+HAAbo++EFmZ9/Ok0/KOq/rE04cj6+my65ALsfqVIqR+GomJqBnukSUErPWGvJ5YXQ9PYohf/azeB/7GNaLL3LPLUJfb3ubEnb2CDywE37jN4TD3vP7/OVfvgY8Tjx+B+EP/TKe48j6LF8O+/cTfuc7efjh1eRyL1MsXgYZpQXu3Qv33w9zcyT/6Um++tVX+epXL+KOOxIk7r4bd2yM1c88w759V1Mqwe9/NC6/SSZZfu1GRkflNjMzvhKazUI4f0TOcxx6bovzOr0MDws9RaNK2O3aBckk6U0/wdCQ7B9GC2DbuKkukkkRKnv3wr59sL4PeOAByGSI7/gp4nEI732Mrk2b2LkvAcDG7CTs3k1i2zbi8RWixA4fgmQS11uB40BPRwXKZZx4r1F4o+4knDwJg4MktGYej5Mvr2ZoCLZuBQ4cIJFK4cTX4HkQc8chXySaTNKd7pW95FWpeFGj2KRS0NM2CYUSWBZRTWQuRONxvLgoxaWSzE0mA+Gh58F1SfT1QVLouVnZOz9cmps3E1IVcsLnULw7TO2M/87l3IbfeJ6o4NEo5XILAwPI7mpvh02bKBZFs0om/c1sTBbLYmJCPgJEqcqqeZ5c3/NwHDh2DKamFBPUUkdz3HSaY8fk+pdfjjBJ25ZVV2qZtio7O5ETlRnY2qqYdqkEjsPJkxjNC9cVM2hszJg1WgvM59V779xJz+vPMjQkCmslvkIY16OPQqFAsSgfjx+X25rnLhRgaIiYXWPSjTI7K3MwNCTn4zjw0EPw1a+C53HEWcHhw/K8ti2HT55ErqXVRyBcHIFcTr4fGIB0mmTSn3vHwTebSyXDdB0n8L6WheZzRiPU5l25TNSqmWW3LFF4tOU3M6O+o2o0TWMSJpNUPCXsvKp/YzUnWtgZKzygxla9sBGgoJi5vu5SRnXpwnExutB/N3+n/2nhd80114DncWpmhlxOrfvevVTm5mDtWg4ckEdvbRW6aLebzON0muPHZS4yGXzzAXw1Ph7HdQNWczxOMgmXXSYfT51S+2jHDqkX9slP4rrwne9Mk0zKJZ461gtbtnAA+NbcHGFnEqkj/V35bTzONMDDD8P3vieTnkop5r5PvDC7d8t+01y2u1u9SphVq2wS7glYvhy7uxuSSbPcuK4QUbFovAm27XsrymXZisTjsqnyefA80Zts8a5YlqK3bBYsy1h+ej7wPLoYp8uukM8LbSWTyLUsCzIZPA/CrnhSsG1sW9YExxH+lUqZpdH8Rnui9L4NelfM5k0m5SWUe0sr262t/rWMt0SbaWpzBz04moZaWvCvqxV59cz6f7Yt5xklVPNHy2JmRq4b8hpLgZ4fAm8J7V3OJtCaR7OmGvxe/wt+bviN47AiFuPSS6/l1KkomzZBaf9+KBZ5bF+UXbtkYXt6lPleOipCxLKgr4/vfU8WI5tFNmNJtJiKG6ZqJygWhYDb2oDhYTnHtsVloCglnxeBmLAqvr8nsHNmZ8UNYRh7sUjCFiY4NYURgqWSbPh1yRNynbVr5V86rQ0m48EB4LnnwHH4xjdE0Yy548IECgXo6+Ohh8Ryu/xySPzj38gxz5OJ2LSJbz0aZu9eIfRt28Rqsyxkc09PU3VdaG9neBhef12EnOPI4WwWYTbHj0MqxfCwrAXDw2DbHCnGIB4nZtcol+WRUilg/37zYXhYaLK1Vc3t6CgVK8HwsO8ijoTn5SSlSBzJh43bLOxMguc1THfYq4Lryv/V/GNZ1GgUWmaoY5GIPEdLS+AcRfX6+g1WpeFESxhBf+oio5lOgntdf17o++ZRdSswP89ffP7LHD48j21Dbf9+SgDt7Tz5JLz0kgi0VAqhhUJBXjCZhIEBXn/dOBbg1VepWAmOHcNnjI5DJqOYczLJY7kVDA9Dz6lDbMxO0tcn2/cg68VtNTjI8eMuUOLG/hFW2yf45jehtvmNFJAimgcLCeBloF3uOzgov926VTj88eOQzzM3NwEc4Z3vRJSydJrqrT8Ft94KrkuvPQ5k2L4dea8NG8T1ogTWxMRxWdPDh2F4WOuaDeGGfF6520sleO01KJWopFazb58c72WEeOuc7MN0Go4dozddw3GEJMhkZH+USlAuG30tHsf3bWYyspdyOZia4mgxSi6nQiGFAjzzDDgOhUKjEjw3p6xItQ5Bj4aJC5TLRkhX4ivM+3R0YAS9DudUrZhRKMNelagnAnhiwjhp6O6GihumluzyXQMBl0ozXYWp+cpkPM7JkypMpOM85rzzYJSfeOK075oFWrO4O9M40/HFBGbDbyyLSEsLF1109gbDloWsjA5gKKZlFiuo3gS+anafmVPVl21tiqfpkzzPXNswqppadH0xz6OjQwlSxWyUrPUDfErjrhE2DEYrp6TTct7wsIkBjNMlO/TwYdi7l0gEJiZekDDGyZNi+e3fD8C4GzM+e88TefPKK0qQ7d5NZWyMaHc3XHcdExNyu+XL5f6GCLX2q11/ASe948B4OUzFDRtemk4jlBePQzqN48hPdGyAZNK8djKpXDRzc74LWVkaOqan5zsYo21eu5odg2SSMDUSdpWoM95ooSst2XEaY4qGqD2vYf1dV9Gt5o5LGPXZ2bOe00wrC1l4Z1Ig9XctLS1gShTOicBDMRcV+NExYTNJgVH1wib+GrVqxg/V2Yk/b/G45qdQLJr4EpkM416CsDPJwIDsJQ/UpjoCnDSB83hcPAJ5ROAdOABSrvJlUinIfeMbHAGRzu98J7zvfWrOE8BJdu9GNLlHHiH6qd8VNyHwtT1dwG6JT7/0krhnlIW3ciV0d1+kzE9g61b27cPEsqNUjWPGzE2AR2iPTC3dy+SM8s+9+qoIRc9jbi7AY7SEU/scArStPEzNypfxnGg3SqmEbatHCPAao5SmUrS0NG1FfW+1aWN2jUhELjc1hdCT65rTolbNV97U72pW1Fi+WliDska1dyxA68YiVo9ugn/qutp7QlPpzPNC4CV1tDQwFhNaZ7Pumn+31HObXZot4TC12jy6CHoYYH4+KFto4DnaxlamfQOzbNrkQW/P6ebBAkNfUG0IHdSNRCRgrINgVSuGZfngkNExCe7G4/hImlRKGIhXJVo8Sjwuh4pFfN9LPE6xKJftStaEAF9/HVxXyaGC7wIdGzPqYqkkluvy5dBuzRKPC1EcPw4kk9hgfJGrVgkTiER8NwcgjGTtWt/sVBotrms05phdw7Zlyh0HcdUkk9QIGy+JdlMGp9B1oRZPCOfVEkktRjCYrrVczxOBVfXC5iJBJaVG+HTNpWmt9TB76z8ImdWsLC6mUJ5pBI3K4JmnARLCYR8N1GQt6xNjdmA+LItqvAvHUTGsQsF4PI+WYkaWpNMQKx4RyzKZBCaASWqZ1ZBM0tcH7NtHGOmSGvQQO47074mALKpWPkolIpEWoEWePZ02HhCKRcjl1LNMyjYP+ihtm1deUe+czzOp7lUuiwxIJuVDqSSXcl0arBSAiy6S/a9/Y9sIY0mnOVqMMj8vsXRyOUPn4+Wwebf29sZ5NYKrQwoEaPe/ib2kUj5gTFmMBjSn+IsGVM3N4Yd3tIap6DeVktvMz+Mj9oJjQdeHDyKbmFCHdfhC+zDV7/RtI5EAyWgt1PNoa1NenFpz6Op8GF1dp321UHwBFhaEC1l+i1lxCxH+QkIxZDSHRg0iiMZbcE3VYukFa7bwmnlj0JSwbU6/YFDCNh0zDEgRrw5Z1ewYuC7d3T4xkUw2aMIVL2p8/oYozEPIZnJdsaiwbWpTU1AqqfNa5Jo9PT4DmJlpjEfV6+Zdp6flPcIgVBR4j6C8MF+rc4zFpU4IKgvairMsDMfVx2dmlJCamws8s2/kNtxMKShmbU7jzo0PGrRidEz2tPOUS0Z/XECfM4+gzztXpOW5dHlfCl0E/15M8DUjUYEGa9WsT1j9XklAfWx6Wt1Lfe95yMazbaJUfStIWeVaEWpvB2xb9lw8TlRfGxFUYWfSWC6kUqSRxnZmT6OWL/jcqZSB98p5dqMloaVPMqni8TOyP7R2ODfHuJdgbm7CKJSOmqR8XvTDuTmgVCKTCSCxjSvBdwhpGahjoJTL0NpqdL3gXGoFQnv/2tqQGykrCzDCQ+vJ8Ti+ORmIkQWFS9DlrkkgEqFxk2pCDdCB2ROB2F8wjl2zY4r2a8aanZ0N8C59/UX4ZBO7aIgLzs/j7zU1zg+Bp23XwFiISBcj1rMJt+B1ljQatPCa/9+5udNCJ55H44ooAm/gmyonYUHm3rzgp90/MNSO0pvY85RAUj7whFUhElHewFSKsFshnVbuFA0TS6WIupOSSqCIxwzt4hsbY8MG+VgsAtddR3jDBnActm0DWC8Es3atYKazWejoYPlyDHHjuqTTGAuSzZvl/Pl547LSKRlasSuVkAsoLXLZMhpzBmicv2bZZFl+ykVQK2ziA/7JTfN8xmlXXDtKVdww6sY1K9r4EurBAsoojhOwBgMjmDoRdDEtaYSXTtpniuPp40uJjddqCxxrUhhsm8Z8GcsKenplqBc3AgYM3VSTK6CvD88Ty6ardIjOTjiUj3LggBx3QbnRewBH7qMsKbZuJYq4NDdv9h/z2DGIofw1Y2M+/C+ZVHuixbcIy2XlB8RYRNAi57W0yPO3tdFlV+jo6JTf9fVJ99j5eQNo00qMXt9iUa6nYwiW5Vs68bhMW6mE/PjkSfr65Pvjx+X6GjjSm66RSvmeHiIR+afdJGoPtrf7FlXQ6lNy3Fh9WpbWCIPjaB2kMVyi93eA6IyXSwWpNRmYja3i3jUkDKE9YqmUnxLR8CHAB1tafGHaQBbqg8EvNGmK54XAO1qpLHrsbK4WjSY7ExGfaSwUxG9UKcL+fyORhbVcy/LN/qAVEBwBTapB6AUsvKCFoeHMDfcAY8k1uEX1H55HOq1M/f5+AXkAveWDgo60bT79l1386f0JcZHcfjvrh/6O4WH44Afh64WrhSj+5E+45x6hsUcfBT76UYF6Z7P89sdqfPObGe69F8b73iiB8G9+E7Ztoyd0gh/dMs6a8rMwMsJ6DrJjh6DJfvEPVgvMe+VK2LmTde7zDAzIPXRsBmB0+Xomb7iZESdBdzcY36olaLKYVYVikXRavi4UkB8rYu/sFPoJuxXjaolZVSN4h4ehbkX8JEHXNX8CBrIaLo9rg5h8HkYnov7xXA6KRSadMLkcHBoOi8WsA/vFYoP2LvsnEHQPaOlN3uolj/lzBK0008OZYuKnKY9G0C2w+ZWFF5D1Iowdx5gnmkea40EFTzHdWjxBKoXEQ5NJ9uxRYI3du1m35y9YlzzBAw/IUl99000cLBZ58cVL2LDhJo4WwpDN4jjwY7eGufXTn2YjsG77ar7whX8EPkQu9xW+/vd1LovFOApw++1w4AAj1mo19zeJgNy2TfJt+vtFMD73nLgUcQXN2d2Nl8/Dq68y6cWYmpozFlQUjABxHBUO2LePcO4gti3vc7DcKzkzQLR4lLY2mYIEkySsiiin/f2wfTulkuh/a9diBHQ11UvFlfxFnecHQCpFrW+duH/TaZiaoicyzqZNsGoVQh/9/WYfJ+I12culkqGj4WEgmaQrWaOvT9Gk60IsJs+czRqiS6cF92NZCJ0p+jMoZs+TdbWip2GxLEvySGNWVT40Cz3Hobtb3L1tbfLq464A1rTm0Nmp9lKT++S8EHir1QZYaJyJSPW/pSA4m89tvrb+DJxm4RkB5rrGp6y1qwYCdhyYmMCyZJEME1XR2phVNZB3wwy15uQ4gmZSG2V2Vs6pemH/ZgrOODUlX5lkfR2PUOjO118HikXWxE+QyUC1bz28+92QSvGLvwi/fPsJea7PfIbH0j+F68I998CPtfwTvPAC3HYb99wjOT6Whfzx6U/DffdxtBDmHe+Y4x3vmBZGsX07vOMdkMtxqLyCo06XbMyeHr6WW89nPyua9ufe/W1hJB0dcNddjGc2GqTlnj2isLe0QM/3vkXir/+cXu+oxAlVgjCplLhrrSh4nkGXGqJMJk04MZ9X83rsmIBtXNfELZYtU1BmnXlr2w3J/UY9V5aJDuB3d6vjmYwRsAkmWd9fI5tVAkujaBSoIGhZBtNWgrHYBuN+QU1p4dFiHtgfS/Fy6POa/y1EV+b8cBjqdUKhGjDf+Jhzc0ahn5lRMk6r5yrjWsdyCwU1J0HiCLjfikUEtVcocMcdsD49Djt28NSVv8C3h1Zwyy2iPA194xusB664YpoXXtjDamsEHn2UeFzyMsd/4zc4BPDAA/z8z38WuA/b/ml+4veu4uVKhV6ARx/lUPKNgo6MA3xNlLv77oM77hDAyiWXwG/+Jn/wBwBHxLvxx38saRHJpIotvibLmcuJSzOdplCQZa64YRFeSioNDMB6DsqGt20Ouas5cECmomonIBwmVjgkWuarrzI2Ju+by2GAY9Hc84AAcoaGFA9RuULhwWdJpxVKcu1aJq2uYIYPHD5MT2Qc25b4PtmssXCNJ8jzmHTCFAoCODMxkX37/PSobJZCQVzULS2gGZJRaAIakFbOdVZVe7s87pFijEk36iuQGmygvALlsli2nifP1WVXTNy0ml5tEvmZ1JFTvbfPgzGro9ILjLMF2xc6d6Hvm885m+X32vg43/72VwmFJIcrCbB8uak+kEqJWV0sgjE3lON7+XJMEr2/kzAbQbvzAD8XJegDK5fNV66LHFfoLJAE0Z4eHxugr1HxonieOq1QkCRSRzINan3rxO2ZkwR5UimOWmsYGpKfb94MvPii3OtNbyKXk8fetg3JQQTYtk0VmXCIRNpFQ3MckTD795PNyp+HWMdcYjmuKzTV34+fWjE1Ba5LqSQapc5D6u5WQsWyDALOgHo8D4aHueoqVWkhKYwin1fummJRiLmzSjIpRDg6FhbVOJlsiKPMzsJ8OBAJd92GJdD5EVU7YZ7LWIxAlagwZW2SuS5Rd1LiSFpbVcEj/acBEuh1xI9PNaBBz8XMa1abOTPQ60xjMYGoh6e0q6mpCUKhdlwXwh0d8qvZWfPYRtlua/PRSLZN2K2YPW+UPMsS2rFtKBSIWgLBD7sVA4IanetSiA3Z05s3S8EAG0QR0s3DlRKRTov+NQLYQG3rm4GDwJxYSbmcnK5AKeuSJ+DAAYVsP+nHy1IpsWjSacjnede7ACT/lptuogugXFaPJkoml14qM/bCC1x5pbxWqQT09TE6I5Vo+vrwc2myWeJxiQik06raSYvtu/Tn543hZGJwqqyQjk4oTy5BGKixkstlo0QYxVuBdTxPwGV6L2qvZVeyBuUyMzMibIwyX6+fHsdTIxLBBOSM8tbkw47HffqZnvYFYCKuXN9BZqcUfssS3VizxCDB6HivbfODdWmGQqFbQ6HQX4ZCoa+EQqG3h0Khp0Oh0H2hUOg31fGBUCj0N+rfgPruU6FQ6E9DodCnFrtua0/Pku7fTLiLwawX+t3ZcpL0MMzJtrHrM1x88SQ7d0L4134NgDWlp9myRTZRW5sgEkechBDgypVQLHLt5ZMmbaYa70KbABrttzo5yRVXyIIdLSdE9dMMTAXOBgbkWfJ5/CxrDeFG7t3SojazopgYFVpb1QZR+QZXD1SZnRWPZi2ekLy5J5+kkl7Dww/L72+9FTYe+yeR4E89xbfbbuZ//A94fs84661DYpk9/DAjd/w6mQz8wz90smsXjJSiUm3jgx+E7m6ipREpHdVXoyqeR03bQpT9/bJBi0WWLfPj/1qWJ5P4BFAqsTpTEwTe9u2y0Q88AaUSw8MYBhKJYDRVikUyGSEU8/1110EqRTYrqVNG0UiljObdm6yY9IzRqRijE1FtNLImUyVhVahaMUanYsKUVV5eAxOIx6nZMROkT8RrJtYyMwPjTtRXfFSML5jvZJjLEkf9XJLUA6NZgWwGbzXTj2VB53LxLX3kv9/NnXcqufGxj9EbicDQELfeKks7MCDu9Im5uGhK27bJSz7wALfeKuSRyyEbToNF9N5+9FHWx49yqBDjefuN5POKKZfLXHvqW6zPTAotFAr0pdPUvvskF110Gb/zO9uoJldQue1nuXHzJL3f+RsG0mn+yzXXqBy33wE+zYc+BNxwA5d1dcGnPiWE9fDD0N/PVVdBd/eXJc/u4Yep3PtFEXhDQ1As8uM/Drb9HoaG4Oidv02svx8vn6d3+DF27MiQTsPRG36G3g9/GCIRPv1puPlmEUbPF1dw6pRMxepURfbkLbfApk30Wie47rqAax58S2f58saYuG3DwAAj3grC1Lg6ddSEC0avuFGODw/Lucr11xWv6vC+zPPKlUAghKCUu4mJAF1YFpGIhAZMPE5nfzcgk2TMzWEElsnp1cSjlFaNmA56PUz+oFYSLcu4zHTlIo1TMDFwvSFd15+XH6RLs16vP1yv198P3A38NDANRBGlCuBXgA8A/x34pVAotBqI1Ov1XwZaQqHQqoWuWx0dXdL9my29pUCpF/qt/v1CwtHzUJKqSt1uo1CIiDJ5333guhxNv5Fdu/y6eN3d0JtWaD1V82fck5JY6bTK+1KQKs3Pxr2EKY6wOjkpXMC2TdUO0mnyebnHwAAilVIpcXuojRfch0b7cRw6OgLvkEpxcDhKMgnvepdKqr7lFrjuOmLlEXbs8EsUjV93s0iJu+/mxuwR/tf/gl+9R7knH3wQ9uwhHherTJeR6mVENukqtazFIhMTcCQfxrKEvkzirOPA44/Lj1Mp9uwRj2Ow2IIJkitmXnHDhEsnjEU63n89pFIMDIh/XxuNJtlIuUIMPer8JI3wU1MVDuPHmCyL0amYyZPu6ayaEl+lkhJUlkXUq2jD049PJLtEwCnETditmOT0ihtmvBw2aDfj1lRKi769ulRjJZYljNC5Bv1oBHgt5tZvPt/zIH8kB7OztC5bxq5diqndey/FuTno72fnTlnWsTHZCp3emHzhukIEO3bwwguiiAwMAMPDVONdksNVKPiVB1Ipw/f27FH6yOc/j/YRPvoo/Oneq6kWi4Q3baRYhE98Yo7ogSeIPfp1vrUvwchbfoYTxSK5/fuVQvEY8Ky4H8tlnPFx2c+lEmzbRq1vHc89B2Nj+8XLcc89kjKxY4eYlM89R0/oBK570teRLr8cSyllr78Ox49L6IDPfQ5yOXbtgu9+V14rkxEFsLNToaezWSFcVWxCkT4b+ypEarOM271yzugo3d0yhWNj+ICV+CSUy4zHpbRXf78k52PbBuyjheboRMDjUyyafNV8PlCwolzWWBYZquKN1jvxPD9ZUBFcxUoYlGgkgnhtFM0WCsotjTyHCdNYfrUjY7XqP3Sah2VRS3aZ+2vvfzyujJ3Al8Ya14muajTan/9+42PAnwOD9Xq9piy+fwSW1ev1MkAoFOoAVgLH1G+OApnAZ0Kh0DuAd7z94ospnTzJiy8OmRJjdU6HXYeaUgQWOi94jj620HeL/Wa+FqLFm6Wjq4vM+qu59NIZEokhDtx2G3ZHB688N8TGjbBiBRx5aZbJ2VYq03VRR0Mh8DzKB4cAQWANnZBVrs9L7C7CHOXpCI4jnoChZ8aE009M4JwYIo4DExO47gjRKBx81oXxcfA8Zo+P0xqtUyfE9DScOlUiGh1i8lARKhXmIjGOHDnBihVQKR2G9nYKtXFTIqu9OmFM0/rJcaamxrn4YnGDf/vb0H/jjXDiBPzDP3DzzW/jmWfgoadg7VVXiUP/H/6aiy66inxe8m9XJJSLUiMGX3sNtxYVzZwStj3E1VdLzHuorQ3e+16qnke0VGLZsiEuuURoqVKR53vmGVjdMS8TMzwsc3rypNyjvZ2R0RN0d8scxmIRenrg6FEYb2kRLbFQ4MSJcebmJI45cuQItLYyeeAQ4+MiJFvrLicnJxmaUTcdG6M8JXGNyROi6NDezuR0i6kkEY/Mmuq687TQEpb9MlsN0Rqty/PVajKv0VYfvYa8X8Sq+1UCPA+mp5mtnWBuTr4+eVJcSO3RxjJJCw1NM2/esIGhF1+kTuiMNNO8vxcawWs0j/laiIlymWng1z/8Yb72tSH6+2Fo+3YcoJRMcvHFQ7S1wcUXK+PccRjq7PTdEMUiq1aJ12N0FMZtm8kDQ7S2wtDhUZmsapWJZ45w/Lis09VXw5EnipL6cvXVHN1zhExGlMx/ed/7SAN3bn4amGNoxoVVq3j8a0NEInD0fe+jCqybGuJ97zsMQCQyxDMDAxSuuILnXnyRSK3GKy9VcfYP8SM/Io6AQ9/aJS/w9NOycFu3wvLl1EdP8L73OaxceVzo8frrJb7nurzvfUO88ILDt751gswHPgCdnfT0DFGvy7q+9hqMvF5ncipEraZiyLr6/Guv0doqazb08hzHx6cojA2RiUzI3v/X71Cvd/Pqq+JVjOPIhpmdpZ7qpl4Xfj80NSsMaWoKXn5OJrlaxalGicXk66FJpVS8+CJz0U55rtosRKNMFoYIh2FyxIG5OWZjnVQqQkOVCjjVKkOzs76J9vJz1GoRQiE4dAji8/MwPs6kO4TjwMEX5DOtrUYgzddCzMzI44dCMD42z6zXQr0OdsucCLxaDY4fZ5bWhnSEcFguExo/aVysE5Mtgl5tAm/9uwq8kCT/fAr4Rr1efzZwaAJxm58KhULLkOS1KeB1RMgBrAIeDl6vXq9/E/jmu0OhD6eWL2f9FQMNAJXg+H7iEEs9N3h+1QsTdSdZYVkkk6s4eLCbO+4YoO1LXyKxZQvPvuFPeOYZ+IVfgNXeEZ531hBrhzUrx9FFBSe3DPDSS0ITXfGqsdC0qT44CIkEbOyvwr5x6O5mNPMGwidhffwoJJNMzgpqbV35aYjHmex/I0NDEpZKIPGi7x2GtWsHiJUSUCwy2jvAoUNw5ZWQePAJWLmS6foAJ04IT7l2cwW+9CVRyzZuZHRFL9/9LiZeN7DxEPzN38ANN3D0sg/z0EPy/bsuew2+/nV4xzt4+qL3smePeDkH1leE0F54AZ54QlTJm2/miQNRWluHmJ0d4J//WZSy3/5IBW6+mdLUFKlNm5jM/BQnTvjxi1deEaL+0c0n/EKdK1dK0nu5TPXyKznymtRWjDknOHp8Ba+9JoxqoO2gcJZUiiPFNZRKsOHSCjz5BPT386w9QCwmFaGipRGGWloY6OkBz6OSkgC4KexrWdQyqwWxBvT2Kitcu2mUS6VmS3HbrmTNWCA64F6zYwagkUqpPRBEp6hzAkBR4nHl8jrL0DRz68DAhweuuKIhHn2uMbyl0EzVC9MaCdNer9PXt44HHriUyy+HgS99iUkg8clP8gufXM3mzfDWt4qwmjxUZOCKK2S+Pvc5uOQSJrNvJJcTJXDbNikITqEgvrP+firE2LdPLJaN9iGRbN46qW+3ciWPPd7F7t3w63dP8nc3f4mbrrmGL+1fxqpVl/HFOx/jn49fxV/9Ffzar8HjN36JGnDzPV/kS1/6GDAP/Cbv40tMvO99XLVzJ9X7vshjnxc+q/foF/v/PxgaYvTnf4vpaVjj7IedO+HjH+dLX3L58IcTDGysCjN//nnYu5fee/4Ly5fPcfx4hG+smoS/+zsGfu3X+NP7okxPw4/8iFx7akpe1fMg9uQT4rW46y6e3t8l3sorqkw/d4jR0QEGrl8Nf//30N5OeOtb2LlTeMnARUf9GFoyydyc7MHeS6Cr7aBcPJsVRa5YpPbGAZ5+WmTnuqshWqkITWnMgWUx7saoFcQS7SodEtBKZj2nTolM7u2FkyeHGJirikvGtuHiixkZ62J8XMh/TbgCqRQj9hpcVxXxDoUgk6FidxmslrbcErbQw7grNLA6UxOm6Hlw+eWMuzHTXUaD9zIZiLUeEmaxYQOHhsNiuTaFAf69QSu/BGwHbguFQr8ZCoW+HAqF/gIo1+v1EeBPgD8D7gX+rF6vHwXmQqHQHwHz9Xr92EIX/Y9G1iyYeB4KGbBZJCLSnIsuAmRPZTKAZVEoKJcDGBeabctCOQ6+i07B37Vy19eHXwNPgVG0z7wWT5BMqu4GY2OQyRgPUbC2Zku4Luut0BGRiLiUEkzKxu7vp6PDoKAlTSGbFUZz4ABtbSLsjh1TdKTaodDfTz4vr7t5M6LqpVJw3XUMD8vjvuEN+IGHiy6S6ypC6u+HVmvegPF0xQlsG+2I0zEDHcDu7g7k5eiIfLEowk+5QyxLpSXYtqkFaArjqnlsmFuVXKzzjlyXRrSR6/qIV+0yUS4dCBTHDeSTBF3qBlSjb2Db4DiEnUm/qC4YN0wtnpDPjkPYrTSEAI1reoljKZrsYnHrhQovnFGhDMvdarWa756NREzlHO2+NkjW1lYhENsWM0clhesSm2Fn0kfmJZOMTsXI5wXBt7GvAoUCI8WwxIhVLMjzlDt0zx65x5YtwLTM25YtFAoiSBP/+DfUgC4kXC3CDq65poUy0AqQzRItjbBtm2yHY8fm/OIMmzZx6hSsydZEgXVdRiei2HaCvj7JB2TbNtmf+Txd1iQw7xf/Xr6cmhU1Se+6Sl5np1SRsSzkRZUrL52WadLwfQPkCfjmNY6LYlHAacleU1XJ7J1AsrcGR4VdAbdpILiur2vc8OUyXXEBeplYnHrwYOpUqDbvV0NRcWidY2tAdQppa9v4QshxTEWdQN58w2htpSmw15Ay2JCCZR7M81i2TIFefpCJ5/V6/U/r9fob6vX63fV6/Q/q9frP1uv1X6jX6x9Vx4fUdz9br9eH1He/Wa/Xf7Ver//mYtdd/u/wbItBspu/0+c2pzssel1dPQogHpcgfqcCLsTjlMvKqg6sjF5Us7hqV3qeMNFk0mfcGr5mSuioPB5TBR2opleLy6sdP8dF+cxLJb9Yq6rTK89xww0cLSdIp2Fj8iiXXSY8pvKWm8VMGhwkse9bZLPw1FOicJpGbfi+89ZW9WHTJti8mf5++NCH4NpraowuW8e3h1dT23S1H3RWbWuYnmZgwMfjPF/qhVtvJa5iEbrw9pVXilDVKT5P7Q8z2f9GBe1EfBlTU3TZFRHcSmPQucPFIuL2mpsTQEOfohudqBSPN6BmK15UXG2KsLu7xc1UI2yQYjFL4nCnTingRADRGXYrDetcJeoLO70upZJfBUaNiitl3oyqq4Zty/3j8XNr7xNbwjmLxa2bheBCvwuOsGIq8/PzPqq0vd3knbW3i87T3q62ZTwu86Jzb9T7jo6q4ypXURc81l6pjg4acvfKZbm+zmucm5NrZ9QJq1ZdTTYLj+2TIsl6jdNIabGbbwbYBkTZv3+erVu2kEbd44EHWG8fAaC7OyJ0s2kTbNsm6RGEDXit57Wnee97xUrbvRv++dGoPNerr0KhwCWXSPcA3vQmma+h50km/XQA/VzV5AofhKb2QTYrsjtcOsHUlNDo6IQqZtDSgmUJDa1JjoMtBdSLRUFi6tzVQoHGsjJacSqXTQk/rezV4gk/TUFppJ4na6MFbaAYDAD1sGJauo6ZQjabRPNAqo3R2UxgugHQLGsY4JWzs4Hfq5tGrVoDoMsI9YAXxWBVGjTL/3jjaUnDvvrqs55zJoDK2Y7psZBQXGyEgHq9bkq11QBc97RcEw0eCapEmu9ZFgaZULOFRWlQyehE1IdhlkoGX6EBKQaKHImYS8/O4m8Mx4HZWR/jkUoR9qo+1FcJ2MOHoZZZTc/o8/xo/xEsCw5d8zPwkY+A6/Jfto3wkY+IzJi84WaRZq2t7Ngh9D86iqDqtm+HoSF+dsshbuw7SsUNG3doLocc37xZnjmXg7Exrk6PcNttIneGh5Ekqfe8B97wBk6e9JHWicHHuDH1PO94h98G5tnBMOOZjaJNd3cbyxnXhb17xaU6oN7vppvhhhvAtslmDZLdaLraLWLbqvuD7vmjSlidZo2XyyxbFqgGEcwfCBCy5ltVooyOhZn0YoZBR/OHSKeFwCedsCH2qhVrqEBi27InEvGaamfzgxlLEX6Ljboqs9fS0tKQk1oD8DzTLFe3QtI1Z1HHaWkx9JDNIn9s3iwTPDhIr3OITEYMqq8f6IVt21iTqbJ++OtSrEBV+P/7v4dP77+R67u7cf7yLzm6b0T3euXhhwVX9r9DP8NtQBno2XY5v/RL/wN4F/AvPPXZJ+m9/nrZhw88AFdcwS8M/zof/CA8/vj3uOkTb+Qx942ShpI/ItZULgd33MEdd4hieO+9ci/e+laJLwwN8d/+m2w/5ufF99jfj+PI620cqJEoHSHqVRgakmc8tPZm2bzf+Abrn/sbwg98WUqTObL3v/lNxBcaiZgUKA0aWRM/wZqMKNvDw6oKCxjE5eiU2l9zc5DPc/3mKps3q32YXK2Bp77i5Tg+xF/t8bBbMXzNyJNMRgprK+mtHTGmFJrr4rrCzqrp1X5eRrFI1KuY201PY5RDTT8VL+oTmzIDwwjQZ/ly4zhpSL9oSHAPjPNC4On8mO93LJyOfjoxn8mlc9qo15mfr+N5NWZmoAKmHNDwsCAR8Tz6+hRI0bbN6pyWTKw+xONi2enUtXFXal7ywgtks7J+VStG2JNzav3rpSr/8CHjfhn3ElTSa6j1r2c+YrM6Pk7X4LehWORQPsq3Hg1L/tLevaxxnufUKQGlkc3CSy8RHT7ob9J4nKNeL3v2yPMk3BPU/vAP4a/+imJRiPsb31DvMTGhUDhDkM+boiLJpOq47LqY0im2LdpgOk1fnwDesln8vn2qDNmVV8o7P2G9mW8VN9LZCW+3vs2bUwd1hoefrZpMcuCAdIkmmaRn9ii33CJxOQD6+5lMrsZxIOGNC+dwHKp2wvT7Kxbxsc7FovTvK4hgmpmRvK/J9DpG6yuYnw8ktoMRZJRKVDwRcCDuOcsSQjZloZS1G3NOmK4NGtE2MSEdKMadqNFeY3bNb1e01HGOKM2lCreFRn1+Dup1arWwb7C5riRaKwshlxO68Dz5Ljys4i2XXgpr1xp0Xl8fsoeyWb7ynRWiVd1/P4kP/RzptMSGf/EDYbnJJz4Bf/mXkMmQy4lOBUiS+ac/DV/6Ems2Jfgx9+949dU9TE29kzvvhF3ACSCXy/Fnf/Yt4CtAimvvvByOHOGLA3/EE/c9z4jr8sk//EN+e9+PAv+b3bvfyY/8yAus5yAnLr0UPvMZYv39cPvtWJY86qWXKp571VWSjrNjBxs2wG99cFIk4Vvfyqf/WMqgbdsGfOxjsGsXjx2I8dGPyj5bZx+VuXnnO+Gaa2Rzfv7zXHGFzNHu3VB9989Afz/h4oh4NjzPeCzYtw8OHKBQECHsuhjL2LT5UZ8n3SiOI0XmE+4JUim59aFiQl7I80g4I2SzqqiDEjzarRiJKNBTMHfI80jYVeMu1QqcllnDwyJcsW2TOa/ln7EulWFgkOYBK1ELMg3sU+QvhkM8wehY2EeZNiGbzw+Bl0ic9ZSzuWKWUiZp0coqC4yq51GpTAM1ZmeVhXfsmE4RExdgKkUqhUCFi0XZIZlMsKelWWHjv3YckwCta14yPU24OCJpDKp3VLEo+5qBASgW6Tl1iP5+X3EaGlKtORzHZIlqBhqJYKp+LFumvIOuK9qn7plVLILjUC4Ls5qfBx55hDxAfz/33gsTE6+JQNm5E15+WfxWKjajC2nk8wq6n89LfkOxSCW9hnpPmvFy2OTw9vcjD3/ttdDfT2enJNBr7W1iQuXrBJp15fPSNsXUX8IvRE2pRDYrOobnCbHqDsnVeBe62GC0NMLAAIbQRyei1DsSftaucpdNT8sc6PZaqZQAUjxP6pVWrZhxWeoYrYZGh51Jv2q9TrBTJk5DnCUwgnl4VS8c8A8tcZxDCgMs7s1YihtVlxYLh8PMzc0bpuWCmT/VWECWzvP8jufz8zAwQC4n1kI2CxQKxkNwtKiqbTz3HP39sm1ffln1suvoEEVzeJieHpnD0VGo9G2UD9/7nnDD9nbgYiDK3NycVFIB1b0gkKd18iQzxSJbtogS2HvPPawGxr/xDSRfD+AoR+z1pIDS1JTEIK+9lp07ZW99/OPw+/fIfFS2vp1Pfy4hKQ8PPoj3ne9AJMIrr/hZStpqKZUkVr5qFTIvxSK1zGqOWOtkUopFQqUxNm8WEhsehtHL3sy43Sv9NvfsEUCcFzNILy1gtKsX2xaLTHl/sG0KBVWqWCX79ab8lBvjOi2ViDrjfpxPeR90Bwempw0wq5ZagfbXGrIMuDO1O9QUGIDT92ogVt7RoVK39ITp0IDnnV44GuHZplauYXbB4+fDOHHirKecreJKMK+o+fzFKkks6gq1bV4rl3n+e/9CPF7iySch+ba3QXc3P7p1kttuk9MODkcZGoJJEn5txkKBNdmaMe/JZMCy/HYonsfqTI1MRiUkp9aJUCuXJVCuyoRpfmyAJp5HOH+EWP4gqZQcm5lRmtR114HjsD45wtatsg8m+9/IiLeCiy5SoBXLkmfxPGJFQSOyfTt794ri+JnPAH/yJ6zp6KD28NfZtQvWrr2Yu+5CNrvOxYnHIZMxbVFsW5X9OXzYAEw09kWjFDMZFbNMJoXii0WihSOMuzEeekjm6brrEETesWOQSpm+uWYOSyW2blW8ra8P0mmiVBvyTrX7xRChEjy2LS5bHebwPBoq3ITxYwaRiF/hYdIJm6TcqDsp18tkfPRlsiYFBewEs7OBGGsg1qD3o1ZGI5FAVRcWeJ4ljqX3O5exUPkw/f3ZRnlS3unuu36W/v4WsWTf8hapPpTPs22b3590eBiB7iWTopHl88aDc/KkYr6ZDFNTwrdXWyMyAe97H3v2iBV3zz1IfO3OO4n91V9RG9jI+98Pd90lpFIoIHugXIa1a/lW5GYgB3yS+mwdC+gD3njvveqv/8rHP3413HYbbTfdxL594rnnr/6KrUDXF76AgFt+h/e+92YyGQj/zu+Qeu975YFUPFo7KHQ5rJg7zvS0er3Nm7E2bQLbZvNm8dgmLEEvcsUVlMviERwYQC508cWmAg3ZrLgw29rYvBl+8icxVYsOHMBHVRaLErIwiWzydVsbpv3X9DRyT0WvBmOgPQjqO9tW/Qgty+AIolShXKZGmLExuXZnJyLwPI8qUd9Cw++IprV5LdfSaZWbrH3YqsCD9khWPWmEDYovaEYSEHZ4HpGIyeLx7+s4JOI13wXblHjepFf+kI7lS4OtLIU4lwK1PpNWK5q4JWiVapVYrIWXX0ZWa98+yOdx3Y3k836JMc/DX6ypKSiXcd0u6f47ECWq4Fd2uhc8dR5RE/swcCcd5Ac8r8tvD5KiAXXoefI44+PqoU0F2caETe3Z8DzkGTSMKpMxqDBd6i9RVFDwHTvYtUu+u+UWiOYP+QEalVhfccMmVzibRa67dq3cOJdjfarEC0khWJUzzi23RIkWChLoj0RgyxYOHxYm2N8Pq+Pjcp/LL5cit7vlfWwbKLniIrRtYskkuB61dK/xhPf1SdC/s3OFaTKpASjatOrulr0wXg5Lj7srVhPVE1wsEo/3Uir5QXI9VYm4FBWo2gkcL0EcSYvQyNDRqRjT0xgwE8Wyn0htWYyXw8YSTCZ1mkpZxQ+jRj5aqbCs0RLHmTPrFh7fb3pCOBwxFfGVMQIDA1jf+Q7k81x6qVSlMxiVcAwsRxZXVSW2rKspFMQoe3s2S8/sUW69dbXM0913QzbLVk8ExfrUCSi5TN72c7LtXVHa8nkBeET/8s9FK3nwQY46Xdz7Qbjoopt47jnglrdzI8BNN1F9/wd4//dgeFg01CMf+Z84J4a4fSPEPvrLjBw+zLqODp664ueAF1i16mpuv11K8V17663ijszlYNMmCq6UuNy+HdY9/tfwzDNM3v81fu/35unoaIG7XSYHB0l85jPcsvtn+fzn4X/eH+P2O36ZruJBfu6mGn19Qje1rW8mXC7D3r0k+vuFAPr6YGzMFKcZHpbk9WQSg6rm4ouhv59aupcivex7UNanvx+4VzRXa9NqRue66NmwAeJx0nG1iIppaFd8KuV7kwzoQBVT0FVuli1T56ggd5Qq2FHwLCpWgpNF5aJWGqDey4l4DUNMgXJ6Gg2qD6VS+H5OrQVqE9GywPEfr+E5PY+w9qKcj6AVn3OfeZzN/XKmuN1C5y3kJtVuR2ZnceutFIvtvOMd4HzpS9SmpjgS38jjj8v5SrbR5Y6IO69QgO5uns13kcvJekSLRwPBDcCyOFqMmn6OvXG/0oph0qqSgAG+6EQtzzPlg1Shczmez5vfaVBNoLqPCN5Ur+8PzeUI73uCGBUefFC03aP2Oti5k+Hf+z1+LPs8Q0Pwe793ki/vWycF//buFQDB3r3ErKqxvkzx2rk52LGD0cveDOUyoaef4vrkQVxX8AF79yLvMD0tPxwcJJuV+Xv0UThYVNUZdu+GRx7B88SLUyxifGWV1Gop4waEy+MsX66sL1W6SNODzuHRHFgfr7hhY31aFiKNX3rJpJdoOaVpzvPEyht3RDnoileJlkYMgU56MU6d8j02loVfekkpLspgp71dCTulXk+6UdOTNx5X++QcYnjnauGdCdh1Njd/zG6B2Vl+91OfYvfueWFUf/3X0nUgneZf/sVPb3EcsD3Hr25cLsOWLezbJ2SwbBmyj/btY+dO+PLDCTnwqU/R3g7/+I/wWG4FZLMkHv4yqz//28TccT75SfjkJ1UT8muukevffjurt6/jvvvg+PE/JJ3+X7B7NweAb3/jG0Rv/VHuuEOe7fd+7zgf+IDw7ljhEDzyCONAdWpKxYHLxqr5ylfgkL0RymUKhw/D3/5t44S87W2QyUg+GS8zNfU9GBpiN1B54QUefVS2caGgvB+PPgr5PENDxjNp8nWq6dUyR3v3wvg4MW+ScOkEExMSvvz85xEi/upX5UM+b6odqUI3Ujszk4GtW8nnldHjugJysUdYk65IBajs1eTzyrJOqzq42gWjfJjh0gmTKnHqFIyUYz781pFOLTU7RsyqSgiGakMllXJZFc3WvCyQXjE319jFqFymQcBVicp9hoehXDZGqW37uXsNBOq652kD2PrZ9dWzBd2X4qZZzMUZvIce63p6eMtbbiEcbhHTOnCehlHPzwcEEhihpo0pc8x8YOHjikMbaLxlmbZbnofPfQPX11ZDzK75klG5xPR+0DGteByfUetq/0p4plKYQs60tEg36WPHmJubBgpyS9UOBYC+Po4URABceqlkOGjpWrNjPrG1tVHrX0+hIO7ELVvwa5JdcQX09xOJ+OUlTakg9cfcXMBzo0EweijlYH4+kMfj+Y1IG86Lx6m4YTPfWjEMI5abXswggj7sSc87Pe2oJTAnqLy7mRlfT2ltVakqwRsFYhvG86KeSZ9mIODNQb6zjOg5ne2Pxfb/megrGo1Cvc7KlStBu39dV66i+mXZdlNTTz15ysrWgLqgByqZVOunfIUnTwpDHBhAON3y5bB1KyNuF9msgJ+kHyPS3ueWW6TcVqoKzADzMDjIIVT87k1v4t574fjxV4F23vUuWN7qyH6OREgC0WxWeQpm6Ow0TgyxXObmZJ67uzl+POBWU5LRlAJkhbSUAmIdHSaWGY9j4nXBcoEJq+JPAPgaWEeH5Go6DtmshMxdF79Yuaq8PDEhyrbJidSb1HV9r7jaoyY/Qj18wxo1jwABNbCcuTkFGAi4MQOodH0/dYrPkwLX1GFFbfAZHhaw2hquFyhx1pALi8Tra5ZCuTdVWjkvBN7UQo0lm8ZShNXZ6mueCxQ7FAoZ5UHHW8I0CquGxGSdp6LSAYz80aummBy2bXI4Tf1EJTlNLMe2aWsL8MzApsK2DT+t1RTgQUeJSyXz58SELwdNa414nIqVaPCVB0JZMD8vycQbNiA4txXs2IFUMbnqKim1FI83QP9ffx1RGaenCReO+jlwCvK/fDmm8zogE6a+0Axf06ZOROaqq3jlFUlmXpc8IaZDd7cPikDO7U1KfcuaHaOS7DUFT3o6Kn6J+HjcECIE4tzaal6+HCzL8IaWFkVQKo1EK5IQWHw1TDoDyp2pP6hJrVlR846JeM0IS+3mtG2Zuphda0jqXcqInP0UM5praJ4zWjNsQb3O3HwdqDYKPLXOmh7icfz8BL2wqZRxYZm0BOWG7+zEzKlmhocPQzW7TvbD0BC9yQrJpEQUHn0UEVi7dxtksAgeBXxTsPlxgNFRtQ1eA1yuvBJfA9yxg0xHB14+z9XJI8B6XFeAlgcOqEow+bzMVDpNW5vfQIFVq2D7dtUeKMNb3nIRDA2xGuDuu7UXlDvuQC62ciVPvRDzwei6IoMCh+jOJrS2kstBLbsG8HtFht2KSXcgHjd1HrRSaxiF4jHGpQhUiJmqC11xH7BSs2ONFljAcgoCqiwLYTSBnnda1hklUDG86WkF+tKmHpgLBRuy67QHwGcAnjRXBqRusBUzJBGJqOdV0tzUrPW889PCO5d4xNmIdSmEvZSi08EcPLM4tt0g8Do7MbBzg51Vm0L3NMTzhMkrd6O+r0HhBmJrExM0IPw0QzQSMsA8li2Ty2p3nb6g5rk93TWDnqtaMQOosSzV5UBBPrdt8yu788EP0gcwPMwll1yCbV8kCrymPDAthzTCKpWCoG8ul8NIw5g3ierEIjxNZ90PDFDLrCZhV9m6VS7tecgfKuE8nQ4ww7Y2SKWYm/NRflJGTIRSOH+EGBXKZTlUwa8kQblMJNJAl35VDNuGVauYtLpMsZaeyDhhZ9JgkLQXxcCv1RpXvTCtrSIvTb6e1mKMNoPJZzKKiVIy2tv98EPFDTdUuVjKOHsRMn+cTRE825CKglCtyl6zbUEthwE6OsyeU8sk3E1zq3SaKlHicfEIJLxxSYDecj22rSy2ctkgOTVdeR7C6dQaZrOyHg8+qB7qs5+Vxf75n1fFV9YCV0O5jIVq53XbbYrvX82qVSsksV0rFY8/DnNzWDfcwNeH1gDP8tM/LeCtO+9E1u/97yet+kNpwIrnYVCS1w9Mcs01CfnulltYA0aQb94Mq52D8vzXXcczz8jyXnYZfghAKQt6kznTIfJ5Wa+e2aMmVXHSi/l9IfGdNJalBEzAdWHb+EXTFYDsaFEVAThwgEwGU/HJKL6WJXsQTBF0xxGjzijctjRzjUSUAPakSbXZs45De7tKi9A+y4C1Nj+vikBrQYVcv0rUt/L0RlJ8NugBaSja4Hm+hddkqZ4XAs8+w7GFqqJ8P8S7pNy74H3DYZNwG/Q2BZV8I7Q0U25CDAGnLYiOr50m8PRQ6pWGx3clfW1NC71SSYxCw7gDD2hiWI6jgV1yWGWpTkwo96XShC+9VIy3ZBLIZIh3d8PAAIWCCLSe2aOiTe/eDaUSz5ZW8xu/AQ89ZDxOonbv3Wsqw1QQv//oTIKhIUwnAk6eFMz58LBo0Phan+PgC9ZUivZ2xTtyOVNbc3TUr0BTs6Lm2ppwA7qCiWHoudOtiDwv0C1BLYQGqBjFRn0XjKOGnclGNw2Ny21cpPpi8bj5bVtbwA3kug3o0qkp+Vdxw+fk1oyfgzWon2+pIYHFhhZ8DQJPKXJ6P8fjSAFuza2Ua8q2VXksxzENRPv6IDr0rAjA236KXE7207rSE8TyB+WED32Ifx7sxXFEF7rjDuCuu8hNTcEdd/Dpws8I4hKbjo4t8JnPcBDxT4xe9mZeeOFx4HGKRaVLHTkiaOBnnpGX2r5d4mQcln6Le74tgDBXqhdVxsbAskyuqnE/uy7kcvT3+1VMLD05BFzxl14K2SyuK6+zdi1+BnahICjFVAoGBhgbE9qsEYYXXmDrVnlmy0KIQXkjHEfSM8plJWBcVwihUBD8n2YwCu1cKGBCGDqtyrgTlXCM2TXzm0lPaly2tQXqwCo0s/FaIa8w6UaNjzISCXhDNPEgyp5hc4bx0ZheEAQf4Mu/08I/SnM1SOzz0cKLmm6pp48zCaqlCL3F0hXONsTC86vPn9UJFPAx6z/NAqtSH5qf6XU1ck7Z+zqlpEbY73oRRESoTdHAF7VFEQgqT0/LQ7S2qual5XExJy6/XBCnIJR14AA9bZN4nii8pmlZPs+WLfilvHQNr/Z27rsP7rvvJK+8Aj/97hrh+7/ot4JRz6qD0S+/LB6d4WF8183QkPimcjkTj3Ac8VoeKq+ArVupeFG6u5VCOzgo0L583o9pptPs2+fjhHAcQYf2VX1rUgcKHMdYa0FItZl3xzGGuedhYpE6B8gQcHBRldDyPHw3TnBhVQBeF3RpSLFrEmrzqjnEQiGVM45gXsO/YTTTwxmrD4VCwLwBBelKK9pd1QAynZlp2OQGx6P8xum0hHIB2LKFvXtFB1tXfEwEUirFs1zNVx7p4oUXZC/eeiv83B1Vnp6aIgz87u438tGPHlSFvt8kgu+BBwBhfE89BfAC8DRzcy+L0vL88/C5z+HMzQn45PbbVX/jXn7h1hMwOMiePaqaSkuLdDe3bVPbeF1fTfakAqLlcrB//5wICjA5g4CpTlJLdplKd7ZNQwgCz4O+Pqp965mdVVZQ4Sjk88ZQmppCDigtaWbG38+trfgSTLf6UQKqYiV8ZVPR8czM6VWgsG1Zd7V3gwXNg0hnymXT6HjSjZqf+9UI1AgyOGWtoV67Rti4cm0b006rISbo+dWqGvaVnjNXco6N1yQwzguBtxTiXUpNwMVy75qF3kLnN496vU5Liwg8z/MnUlsRwQVpMMnn5k6z0A2TDKAJmw07baHo1dVKZNWKNSZkFov0pmvE46o6yFi4AVaowojgeaYAay3ZJeq1F+i2HnC7mbiWXodCgWRShJCpaZnLwcsvK4zCa5IfpNwkFAom2q+1eWZnTcmiqSllVepKEUND8rtSiVOnxIA7dcp3s8So+IJL+5EKBeJxjNu3pcUH5ejjlEq4blNFFcc5zfNRqyHPq3ydYWeSlhaZTx3v0tqn69IQAwwSpsbSRCKB5HFtxQXW2txXu2FULhE0KT/nYOHNngOi80xCbLF81uDQlp0koLc0HvQ8M1d63xMOixRXRKABe6WSakI8O0vUq/h7TsVQ43HkPytXQjJpLKJTp2TLxONIigMQR9OXSyoFV11ly75TqJZxBOQi+XWvApIjyvg4Xrksb6kCqRMTE8AzklT94IPqd8DatVJ7s7XVx3Pk87JRLr4YLItMBiKRiHhHkOMbNshcHC1K6EDHLw0IKxDjGinHqKZX47rSRqu/H4MJ0Pc0uXUApRIdHTKfExNNlVU0w1HxlIAxZf7QOaZmBPhAA3iExt81KHzKnWm8SYqhGQ9LwMWqR/CeGg2v+VSDGRfAKQTp1pyL//+FaOa8EHgvK1fYYmMx4Rb83HzuUvPvFjv3ULHIv/7rPwItuK6PitPxF8AsuhFGCorUQPwBH7e2zoKWHrZtqgXYNqdVZjH7T39QF9f70Gx4/XAorU/dxFgu6TRYFn19qvGxSqIb9xK6e5EIIRU8B6HtQ8UEtLRQnpsz8TCI+JtNE1lfn0Cs9SvPz5PJSFeFiy5S3k5doLNUknsVi8YibQaGmPfW5pHr0tLi1+LTiDrPwyd4MHE8czCfp9cep71dbjsxIetWjSvkm6o7Fon41VNqhE+nWe3zDCxuzJs0zMfEDvWEl8t0dzfIXZkqLUWb0hYarKMljHMBrZytxN5SwSz1uph28/P4Cb6K0YEwPwOiAPlw/LixhsfGVGeRwHoBxoW/bBkyGR0djDtRk3p65ZWynGNjUO1bzxrEuhTZljEl4Mpl4I476ENieNG93wbeCrwduFLclFdeifXxj5O45hqx1B5+mGuu6QRSsm/Gxkyci23biN10E6xaRTar3Pe7dolbftUq2LwZw7ps1QnEdU26jB5Rr2JciaUSxrOA41AsmkgAHR3iAdUpC8eOGUCoDwUeGyPmjhvHkVGqldlWKtGgdJk0NfX7mFU1zg+9yateWOJy6hoaOF4uKyVNJ88pa6+W7OLkSblsZydCVMrN6DjqNwHmFY/Lo7uu/z5BPtosHPE8E9L2vIALVmtOqq6u5yFtiALjvBB4fWc5fqYKEecUl1vADmwWnpaFYbKxllm6uo7z8MMQ+/CHIZlkXfEx3v1umWzV+UQQZbrO1fAwNw6cMJUSRtvXiNqmrTxnnE2bMJVWJtPrTEsBXTw4XJLft7ZKqznpDeb5LgjXbVDKjBXkOEQiyvMREHiui/GnRHPP0xMZZ9LqYnTl1ZRKQsi33YaYMh/5COPX3cz27dIab118BG67jeTv/A589KP09cH7379BKrNYlvzwlluk5Yo76aPKkkmGhuRZtm3zDUVAhO+mTZDNGiyOZQVySC2L/n5Ynxzx7zEwwFVXCZEc8VabJOTNm9VvMhlIJtEl/3Bd+UMh2zo7TRlP2ttVQm0yaVoRBUsijY2ZTAuyWRV7sm1qqRUiKAO46phV1ch8mWetxgfWs8HaD5j2ukOG4Q3n4NcMnwPA5bTfnkEALjRGRkbBtvmVX7iLG25oFwb93vfSG4lAocCOHbIWV12lPGt2Wha9r0+I5MEH2bZN3vepp0BnV3cla8b0u+oqkSHjA2+GW2+lyx1hdbqKZQloWBvk0fwhkskkmY9/nD174G1vW8Ett0gVlk99CnBd7kinuVtBid/97vXAbezY0Sn93uJxyR7/lV+RgODy5dx5J1x11UeFpr77XXbuFPcp995rztd9G9m61U8ER7bdjh0Iv3j/++Ed7+Dyy0V4uy4mtpZKBRh8d7fhCfG4eD8KBamw2BM6IT/s7qazU5RFozivWgXXXUc13sXWreoZgdHl62UjvfACra2q1F88bkIjnodRMCpe1AfUqc0XpUqFGNXsOqpWjGRS7ptKKVqu1QgSargsDZPLZeVxUQp7PC4pSOHyuJyfyUA83uAx0cU2NDipIYCutT6FrA6CVprjf1FPkJ516zwsLXYuym2zYDsTmGUxQj5TeSXDeObnIRKhUmkTBnrggJgX/f0GTabW0x+qfl0ttcK49jo6aIQIWlbQo+G7ODSzUz8sleRyq1bhZ5grqFjVThgI+PLlGBcI6bTve1cpCjpGZjQ0JRgS3jg9IenPpcJ5Ip2eeooua5KXXhIFGMeRGNrQELiuqZ5iPGqe55u65bIkwebzJr6hYd7ZLJJVvG+f/E5VjNBgPq1AYFnm2U3TLQWdnpiQ+VyTES01nw9UizfZ5gEwkKKacSfKxIRPQKEQ/nwrAaW1ztWZGj3dNWO16WnTllDUGfdzIzIZRiek0adJLNcQ83iccS/R0Ag2waRZy6qdMNfWvORczDwvaCEtYSxWfGEpw9KcKhIhn1fze/gwlbk5aG3l+HHD1+VdOub9qgQKfaRKt8p7Hj4MjiNuYLVh9+2TfdXlnRAo5nPPAbJd7rtP/r9yJbBnD7lyGXbvpliERx5x2blTfuJ5wOc+x9PFIuP5POPx1Xz1q3PAyyJo+/rkIR5+WITZrl0wP8/HPgbPPfdnQicf+xj/5baqAKZ0WSyVQ2eqnqi9Pl4Os2ePqqubz8Nf/zWMjvLSS7JPs1mkGs+ydQwNBXIMdcx782YKBdnm2Sy0MO9bO3HphmD6SaqKNRQKuK4fRsxkBFlMKgWrVvlAEMWYTEcDjTCmydug6MC2pXxe1Ko1xs0CHqigf1Hv2bY2jIGg2aax8HU82wtrPAzJpOlPK8JSKY7gPzOOX6cziNY0wjGVEm8KEJptpJnzQuBZZz/ljAS6mMa6mKvmrISubHqvZuO6y9iyBSYffxympjjirDD7VcupaOEI7N8vmzKTYfdu2f+pFFK3UrfPtqUJqOaJkYhqQ1IoNCIbbL/SSksLvn9e/X9iQrXhqCqBqolQoQu1C2RiQoRIMonE4EolaskuDg2HjSAJeP5kZ331q7BnD888IzxhdNk6KBapfvWrcP/9zMzAk08OCzYgl5OqGU89Ba2tHGU1z+ZV4eaxMV2M3W/6+frrp2l+mvgM01dSZmwMeU7LMjU69c/J5fA8uf3sLDK/r7xiYNjDw8jFTp6EXI543LTVw3VVnYNyWYKUnsekvYJcLqAY5PNmXrRlZvrgmYKKGBevMcyCvknLMmCOhuNK8dGn6vduUJyWMJZiC56tgor+/mwuzeXLk+B53Pf5L3LsmEpufuYZKVLQ1saLL/rdKDwPTGM3nXi2ZYupLJROIy7BUkn0BpUeY9zTGjOvOLcuR1UuyxKTzVIEKvv3q8u/zLZtAoDZswfYsIECUEC7Cr8LSPyXffuksk4uJ9Vatm+HqSnlDNkn5x84APv2SbcHRVff3hPmhRf2y/M98IDJATxwAKamXpDf7dlDTnHnPXtkG+kqJLrCWjyuSvUNDkK5zGRyNYODgYpJMzOyedW87d3r12oglzNapiqWhOMoATo0ZBQLXQxBuyZNCEV5fIJeecD8YVyGKr0gGHppCAYqBqO9GsZAULwneA6WZYo+xKyq6TOpXbGmj6h+MO2nLJeNQ2tmRuatK1nzBWMy6QvM8xGl2boAtS8mxJr/Dp5/tljfQmMxIl+bTnPDDTeh8Zk185eM05iZbro2M9MYpgmij1yXMLVGwAs0ItrUBbV2Mz9PYzDP84zbslYL3F/lhpnheSaGFHS1BS1A3YdPyUJwXarqxsmkuCfm5xF3pSqLIV2tlzdaYI4DJ0+aPwVq5ucbAn5elj7p+HEoFhv89MeOqWvaNt3dKi1hasowP4M4TacZHj4tIwPKZb+3V1MA3LZlibTlbNasXCbhjbNypczTpL2CWnaNkW26zGvNjvmdojVyVQmuiQnVKDZYOUMh5vReMPHaphFUnE6HkS4+llJpJUgvZzrnTIAvOUk2WYvicnrP1cDsd71FXRdZe00gKkC7UBzTVPbHtIU0ZecolTiSD7N3r+hJ7e3KYjp8WJdYVGCiEfbs8Wuy8sILVNWzrVwJ0l46zLFjLqOXXg+rV8s67N8vXUBefFEti8Tq6e+HrVtF0WtpgcFBbtxaBfrkUbdskT2qSuPBy9Tr35UuKQA7d/Lud8tWeHYoyhO5LgoFefb+fvXuyuxKxGv09fmVvertcd/d4XlGx7UsfBP62DHa2013K787hdpzJgVG7XuVAixftrU1YFuCDMy2MQr17Ky/xateWBhNYM9X412mfqwRRJ7ng8i0e7JY9GNtilDNHsEU6TmNv+F5hq61C9TwNkUwGiz2A+14/gMbAXeUHosR6UIuy+axkLBs/rwUl05zAZgzTqZetLa2Bhhuw2hCLZkF12VVNHdUw7bVOfpYIC5nWfJ8BhKv0IjQyFwbIPEKIhx0Z+jgsE4Yjq5aBf39tLRI7KQ3Jc0mue46uOYasll429s62boVKnaX3/jVtn0rTXHwlSv9AtvjTtRvbQ6mJFA8LgR/6aUSN8C2IZs15UEBE9xLpzFQ7gbvn57MYA6U5wmXVPlDwRidWdeAi0YXnbYsgUprD1AkIoxVu+QMNFoRuZL1cizI1dUDNihFmtrVMf3R81QBgXNwaYabiuZ+v2MhGmj+TqM0m0OMmh6COp3n4TMh/a62bYS6QfV5XoP7y7bV+lqWSIZslvZ22TJbtohuMjgIXHUVKSQMIqCVtYY8Wlvl+BZgNdAzP8KGDRuA7XR02OLWvOQSQVJ1dJhiuJIVtcJ3hTuOUfTo61OVXNpkb8/MSJBXAa6kiNkczM3JfKgiyoBJtld4MX/+VAeF0bGwjkQQdiuEvDnfikmnG9JvzUQnk0xPY9IcTCxOEbIBeCAWZmdngB6U1af3uf5Qs6KiPKiJ1C5E21ZWqq7zl05TIWY6kre0KN6qmtoZ16NebBUq8DzVIUGpaTrMHYlAw800QViWX8KMAOsLCEZTeN8w0cY9+cM9LrrorKeca2mkM52z1NiFMEbxPy82kQ1mf0CLMceCmgt+EmZLSyBxXEmtmqWCzYGSVDq1YLHUDcM0PK+x/qPa3NptpjeS+axURx1HAoSrKAz+qVOBfnuagiyLsTG/4HHMHff9kamUD9/3PKjVjBxXyp7/Qef1qaothYJo8SYs5QrUvMuuiDSZnYVUSjw9SgPWbsBkEj9vQFmwZihTrkbYEFADIMyy0Al3evm0+0e/tuv6LX0a4giKwej5NDlL+rq2Xy1Ce2safouv0GiGcE6jidDPNM5WtGFJKOh6XaUlzMu7aAbf0eEzUALvqYd5+QBQYWam0RomoBjoSUulTK1IzxNhpi+rDRRBClaNnjE7C5RKnNDnpFIcPgzwGlNT85JXeuKEEE0mo9BIetkSUgXFthlxEj76UsWTbdsW9+HsrLhDb7lFCaS1wDXwyiuSlrBjB4ODsk3XJU/Q01mlUBBhPTaG3zjw5EnjcXBdfHeOQk9jWaamp0nXSKWgs7MB5zExIe/J/DyUSg37tOJFfUVN0x2Bes5q4sLOpA90UwK7WSjqBdQ8rWH7BXrSNStFZk9gLkFLS0Dv0wwrGDi0LFOnuMF1qjeZ4mMtLZxmLJ0XAq9+lrQEWDzovhAxLxTDWwp4peGZ6vVma/m00aB5NDi9T/sow/PM2jYUcVUftCsi+Hvjfw/40E/TqPUHtWG0Fq0NRlOWx3H8+p/KQpmYCMCl43Hcchkef5x4XEJzR50uub5CsbS1SZjh8GF8AaZcuZFIwOKcnibBJPG40PeePfjY8VzOIF9aWkzVMymDpoAMxi0JxmIyKSDFIum0XGp4GFGY5ucbmKeRWFNTOI5yORIArZikKDm3wRKm0WWtpz9Mzf+gJrfZgjamJA283l/bwO+0ljszoxjXOQTyqpVzKS4mYzGFsZle9Ll6aFdmfQlF3i0LCZJqaaUkenDadAK1YZpqvoyyov7oStZIpWRvvPyyLxCriEDTzgLtSjtwANi0iUngIMDevUrneRkYlt9Xqz6tKAtPQrJzIuSCFWzUnooWj9LWpgSWKo1HNquQx1cCNvT3i8BTgKZjx0BDGVXPZEZH1UMvWwaFAqvTVePhryW7hDB1q4LhYTZtkqkpFBBTMZmEiQlj2R0/Hoi9l8swN+fLp3KZGBUTLtCJuw3xYr1f9SZVNGPbfuZEA0zScUy9y+lp/FZcism0tKh9rGHXrmvOD/KqoCLTwCgDfE6nMujqLYb21XO2tyu22cRkzwuBFzqbZFFjKQm0i8XyzgX0AlCr1wk3P1ck0rBwxj8OfiVptZuM1q9PVl8EtTPD1JU7TmtdweKqZlMEgrphr9oAhApKR9v2S15FrZoJOWFZJml1fh6zkdvaAgSQSslMvP46ABMTJwUFWSpRUzWKLAsmJlwBEGhCUxLczIWO4SlLzbICyeBB6FVAwti28AGtVXoeHClEfWTd4CDJpMp1U/E8UMxAS79czjTHnbRXmG7yWvBqg252VjGY9nahXKXFG5i159HZ6ctzE/PQJqiGm3le8E9x2Syi+JhqGUrx0L3INJNvSPxfwjgXwj5b2sHZvCb1+TkIhYhEQkCL7MlIBF1pRcsPs6e1z1ib4JbVoF9omhgdBb1g2az6bSolGyGZZLwcNt1rUikVk0ulWA90oQXeGi67zPQIhttuI43qlqBqR8o4IcrR3JwoW8PDAoHetEkt67wYfHv3kkwqBW3rVpEo999PJgP/9E9ICo5tw+AgveWDRCIJYBi2bhXWvnMnmYxULnvqpQQkk2wcqLFli0zFZLxXYgWWBbmcEdrFIkxXQrK/bRvGxgzC0vPAVIxuayNcOEomI/tY58PheQ3pAdq3OTamlNNkEqanibnjptuPEUxBL1S5jGXJtXUhhoa8G/VP04ap/+u6dHbKI0w64UZlODCMW5smWRWkG0/yjLWwM78JCLzOTvVY52XH81hsyacuFmTXQm2hsVhM71yg2fosvQAaOBIMCAfLGBh+rqGWAVCJZgxmwdWiNVgBLBDUXcBsNAIvwJmNlRX4qf4jZtd8F0kmY9yT2SyQzwtitr9fNFTapXHC4cOEVdNWySqYlvNzOR+e57pMTYmsHJ1JyFwkk8zN+elwpqRYKoWuXXbypO/pW7VKlVVSROe6YFAorqtLCRqY+NSUIm5dvDrgT7EsfPehUiZc1y95Gi6P+1X9LR9hpusDBmVyMqnOD/ovm4STWbaAKaPd0prRV4n6J9q2eW8TZzmHYTUl3J5pnM2yW8h7stCYn5d7WhYNXEvThOmWoI8lk9LyRoUFjAtaxZzMctk2qZTaI44Dq1Yx4nZx+LBMeV+fhIqvuUbOTQPxtWslR1XtRZ32h+NQQ4F6+vs5duw1YAS4hLdvq8oC60XNZuGKK9RzXCJ94/CdEEFpNDCgYozJpEhelZgn8b95SCblni0tZokNL3b9KiTNxSg0OWtdqFTCKGra2LMs/GB3KgWOo7OLfJ4RULajzrjpPPL668q7oU095dZstt50o2PicROCbmtT6GT9gNp3bPntnoKeqqDnqVl4Bb1NKnvLr5Ue1N4Vn9PPoEPzbW00uFs0y212aTZyxx/WcQ7otMWI8Wwa7FKuYYZlcaRUIvevD7F+/VuYmFDJ8arcjwZ5GK0y22fg7DgOfX0BqLHKjwlad+m0KU4gH1RU27aBoqN+2NVYY9Hz/B3uuqRSUV57TQk3bUY5DnZS7QFL8l90MihWSnL4vDAJ94Q8oMrb08wIxyK6di1ks0qZtCVOt2qVBPs3bcJ6EDZsWC6J6o4Db3qTUHY6TU+3dHXu6IAxFcgOlp0yf+hIvUr41ii1lhaM1qlPo+gY0IquakKql3JZHiubBcqOuWZZPEpSDHcREEg4jH9M/U6HlbTlODHhG6Jm/tXeAAwnituC5NRB9JimYsuvF6h/6roQ1ZLNdUkmY+ZYqQS96YA77SxjfgH3onbdN4+F8k0X+hz8bfDYpFOBUIijR48QCl0qX3Z0YKty+loP06hgQiGfo6VShKmRTIY1P4XWVmqZ1ZSHMcjA3v64AjVkYPNmHt0pBtaa/LdZc9tWjhajqt7mOtbp/DjguuuW8/GPy9zefz+kb7+eNJDXk0oGaJN/e/aIwNuyRd5hcBCmp9WaXyyKkyr0vGWLerZNm0Ta7lTf6Q6rqnDC5s3guuvBHZf2QO98J+WyCO+BAXmGWrrXlM00aUaBykDlsup+Ep5TQkDcBrorguti3ldLia54lf7+qHg4tJshoLhp4aFrwgKnK4QBcEnFDRNTC9mgqDmOEIy+h4Ha+ns3eBOjkwcU97BXxbKiJkygFZ+YXQPP8rW9gPvLsgJdSNRjJOJBK0GN8zEtodksXWgsFlhvFnQLgVvOZBU2D7NYra1Eay4XXzzHv/wLhN//fmhpYb11iDe9SRZOr/OhvN9uh+FhNqZPaDe9lNvKZIymE/UqrOursWqVXGPEk+7OlEqSp6Kc+pkMJr5lHP0BK69cln1oisUqEEqh4Pu2o16FrVvlnEPWeo66KyQPaN8+sG0qSUn83rRJEXMyCffey6H0m3n/+1UB3WIRfvqnpeFmKsW2bVLVIh6H5+PXw3vegym8uXcvG+NHiJWOQirFY3vDFItyuLUV0y6GUslAz7U7rFRS7hm1+WPuOL32uPz4ppsgmyWWP0jCG2diQk5raCukOEM6rXiClpjZLFWipNO+gmxZ6l37+oym3tNZJZn0DeX5eZ9nx+yaFJVO9/rtTBSn0jUzdUjIaKu60C6+Z8cIfXWTYOjkHHQ+AFoWCAN8vy7LMymLlgXhsLgzPvXx/8d0EOcjH2FFMgmDg9x5J8YCcl2YbOvxy+s4Dtx/Pzt2yLUefRS46SbCbkUsuoCbrFiEZ8trAPjZzLdZwxFG+m/ka7ui7NkjU75u35fJ5/OwbRttbSIUP/tZ+NjH5O/1r/4TcWAAIJ/nwx9uAS4CHMY3vx0uv1wWtViURLdcju3bAd7KXzy6hiOf/TquC/994DG4+27IZKjd+hOUSpJ+x6ZNIjj37gXXZWBA7nvU6YIvfAG2beOuu4RcoqURsG2T9uN5gfY5lgWvvsrKlf738+GIL0TSaaJexbQBMpq2Nu3yeSVs4dlczLyT2dsAw8OsWhVQrDdtgnicq65ShbttGzIZkyunFepMxldCq8kVPnJOm11OU31a5erSHU6MB0l5V/QeXLCyUDPKRSuScb9aTbmsFAUtEC2LmC3tz2hCK58fAk8nO51hnAlZdjZE5pkQns3EboKw1SqeZfPqq/NSQ++v/xqAkfg6XnxR5n16WhFhX02EyNgYZLMccVZw6hRGwJHPCwOkRs2OcbQQZnhYrLPe+KTEE4I+DVVlQYPJcF3Tzke7JBpcSJ6H5vTGVaDO279fbr/OPspqjlLrWydxCM8jNvQ0mYzInvvvRxjUBz/Iul1/xN698I53wBF7vaBX/viPYedOymVhMDt3KutK901RiTm17BoR8tPTDAwIjTz+uKqBuW+ffIjHJeaRXBEEPPou4HKZaryL5wtdcuDAAQlEqEBPT+gEitf6rU8CVdTLZZUG4bowOEi0NEK57KcSTU+rhpLHjplWDrp2o22L9qyN6WIRRoqSAB92JmU9tfSybSpu2HhGOzrwLcdAzBYC7rxA8mywg8Np6MazjURi6eeqcTaBuJCS6HnQ1irx2Lt/5Vf46lfVVvzc5yiWy7ByJQ895FffmZlRFWUef1y+9DzYvp19+2Sb9PUhmpTnSZqB58HYGOOetJK6elNNpOLWrVTSa+h1DpFMCkBjeBjGb/lZHCD3iU8Qj8Mf/uGkcZn/8R/DyFU3cwB4AKBU4rOfBXgWOCgM8uWXZeO0t8u/J59UdSF+FYA1H/kJ1qdOcDD1ZvjxH4ehIcJDz7Nnj1qrwUH5Q8W0H3wQHnroNaHDD3wAHnyQXbtEHmoBoZ0/tg2r04FqPBs28N3vqu/j47RMi4KkhcTRUsxvSaQvMjQEpRIj8XXs2iXzeXXyiBgNmzbJFtJlkJS1aviBqgyQz5swvQkfzMxgrG0t14xQa2310TOq8K6uIBTc0yoc7oPGHEfyV60olMt0JWtGwZ2ZkTJnxs8bTKp1JV9ZF4swIxC2GS+H5ZhJqtV7+TwY86aN9eLjbIJqIWIN/h38bjEhaK7neVy8fDlvfetPUq9LtYey61IrFs1eP348oHno8h7Kb647c7e00JCzpa+vkz/n5/HRhJYlx5Ulp62eiQn1gtr/ruJIBoatLwhg22ZvYttUiHHypBKKKt7meaqCScDq9Dy14UslvMOHYWaGl14Sokil1G+Vn+bhh+HVV09KqayHvyx1nwoF2LSJyqbr2bdP0Vt7u4m/vOtdqu6f50lLloEB437RIcBkUmmdQ0PgOCbP1qh42gug3jWXkylvbQ188DxD10Giw7IMpki/q+viayyKiDQ9VbyokVu6wStIpf+qFfMFrEqsLZd9HmYuFCBOLR9N80vbpuJFcRy/V6q4b89OB3rUzrG0GCw9HaeZLkKhENTrbN5yPa47J/urXDYlAaenaUzAr9Uw5UUmJkxlDJOeqGpL2Tbowo2agbJ3rxGI998P/zy8DteFX/xF+NUP1ejyTrAG6O/uNvFkHYN+97uh94H/jxGkXPRXfuR/Uq/vBN7D//v/3kTir/8c1q2j+qk/gre8BV58EW/fPsVnj4iO+OSTsGePCPUNG+CWW5jMbmRubk7y/j7/eXnGeJzx/us5fFi673U5R8m7Lhw7ZnovBt32xl1eLAoXz2SoDWw0MXQsC2o1qfe5Zw/E4zzwgFTjsyxEWdy3T1yk2TVG7mYyCIJ6bAxsqdBk3BnxOKmUajqrYywq/u04mL1v8C4B3qPR24A8r0bSp9NUbVG2TChb9cHSpGTbGDCbFnBaiGtPpykYH0SF6YNK8Qui2SORwLnKVTs/z/mZeD599lMahFtzysGZztPjXAAqACFOTzwHH3Ciu5+cOoWPVjx1qgG1Nj1NgwYTpmaseBNeCiCkzPMFNP3ZWRqx7cqE0c/QHKbSbgMN1NBeUOOCc8ZZtgxG57o4mrme3buFPn7jw1W45x4J+r7vfezZI7dNlI7Ihn/LW3hqZiOuC+9613I++UlE0PT3m4TyfF6MJp2ErfEdfX2qzqQuD1Euw5Yt3HefGAI6rtnTXTOlldakK7rBs7hibrmFo6VYw+S1t6sUzuFho71qC+/YMUxhaEqlhsyFlhaIlUfEalRKyuCg8JPDh2W+uuwKa9IVetrEqpt0wqa6C+WywqibHGRf29VmZIB55PMyVRUvanIwtKA8dUrul7Aq5yTwwksIA8DiLbGavzvTmFdcR1DLYbM9a2C6g2j0q+MA0ajvp1aCWXvky2Vk0UolWV/lWu7pEccDAHffzbf3xYjHpTDzj2YPkhh6gkknzFOvriD2S78EH/kIx45BR8dF/MJdNX52+T/xc61/AwcOcPvatWx5/XVuv30CeBfz8xl+K/UXsGoVr/Zs4d57ge98h9zcHNamTWJp8lZ+66M1uO46/mfpp6Tr+bFjTH7iEyQ+9HO8610R9uyB6r1/Adu3U3voIckTZQ/wGAwP823g0L59bNokeuCNtyb44s4EV/dX+O/bDnI1z8r7XXUV9Pcb/p3PI0TgOH4JMaU4G0sslzPWpS4SUyioOOG//qvUXVPCa9yJQjbLSCmK5/kVarAsjhajPr5AKdux8ojQZzJJNbuOXE4haFF0MjIidJtMMplaQz4vymMyqUAtKlG1VJJ9EHYrZu01Ulx7Q7R+73mqSotJFKQBJaY7sDcA/AJxdAOWaRrnhcBLnMGluRDBns2FudA4lxw8PI9QKLRo3lEzStfEZVRgTyspRrMJaC5Rq2bcd8Zv3tPjx+kU4nBuTv40xZF1spHirMWiCORUCqNWVZBOxWFXmGdXUubCMH9107Y26OmosJqj9PcLHX3xgSjs2CEJuw8+yDvfKbf859waqbKycyfXvvxltmyBb3wDabZ5993yXqroXzotSvHG1AicPEk+L6UHv/pV1Rm5pcWPLwwOcvvt8N73irwcG4MvPxDm6LafFZCAZQmh6oaxe/eK1p1KUUmtplAI5AEFAgOaoObn8RvOvvoqruun/xklQZeDU7E/ldcrcTnLomrFGPcSjE7JvC5bpojUcYTI43ET6zOV8KGBcDWwM5WSeoJaC9HKj7F6DKx3iaM5eL/AaKadxc45G81oOmgoLRYoKByP+13dy2X8uMrUlClDo5uWeh5G+zdxS8dhdFTl0amcgBtTz7N1q7jk//fger5eup69ewWpWfyzP+PEb/wG73kPTE3N87v3hPnVf7mZPz35M3DLLQwePsyzK1dSf3mMSKSFlpbjrL7nFzi66ce4xH2JX91xEKaniQOVwUFVseVfePuOMLzhDfz3W0f4+v3j8M1vShuh++7joYdelvqYD/8d1c99jkOgFu414CBs3UovghK8vu8Ed90lsT3PkxjbQdZT6b9afqO8QTG7Ztp1VYmKm1o1ZqzGu0wx7tUZVb5L7anOTrHa4nGVh6rbojvSbujwYVmX3tLz7NihFO+bboJNm3RzdT/dMB6nmuoVHEIySbRwhBu31Ux8fLSlF3p70a3dE84IfX1+ykDVisnm9zyyWaWAWhY6EDjphI3CHaNi8gAtS9ySDYH1QNxB7yXt6TQu/wCq2nE4P9MSJk0yyeljqZBpfe7ZEtSXcg+gQeB5XmMZpbY2v1pAMAXAN+sCAk+rv4GcFJUPLcNxGhvCqYCW4qc+KEUHrRVT1LBnwyPVJjBCVn0w19B+lXhcntl1oVDg0ksN1gY2bzZNLLduFatreBih3OXL4cABbrlFNnUuB+Px1b4Aa2/3XXqlEoyPayAb09OqScINN/jEmc/T6x3l0kt9/qifv5buFQGpX1QxWj1FMXecK68MINg0JC6d1nF4n6AtqyGx3/NU4rllyY1Nx1xMoFxbw9o411Vg2trwrTflizRVKwgQZcDs1h9NbFiZOsE9NzOjquycy1i27LSvzub21+ecDencrFhql6ZUWqkZWRuG09Coxjmh533O76FnpkWVvQmCi4wbUFs5+Tzt7SIv9+0zHmvC5XGKSKKBrPFJhoZMmBxaWqii8vByOZUcXuXYsZMCtnFd42VIAbGODoOMzGTwTW4NHzbY+ahRLqORCH4EtRNoUyEJEXiV+AocR+inr08uoUNwJjisFFg9TRMTgTkrl4m6k6YKUY1wQ2hEz6PrKkeDVpYDsTStBBplTLnSp6aMB9LsR22FmbQZfLYViajFC0A3w9RMWVzP47R0rKAlZv6nBJUCbwM+mrxh4zQBWRr0uoDhYL4/H1GaS9Vrv98YhB5nS8A1Q/nTF7LwgiV1zLoENA9N4DMzgRQRbX+rxWxwQ2rrMAhYUKtpNkcAJCHJ4WHzHMY14bpm74yOhU0JrlRKYYIUHrhmS1xPQxJ7Qie08kZl0/UilEolbrlFkJvlMuJruukmKJe5cUvF9KA7fBifKczPa0VP+TrChMvjpNMBmaIj4X19xuLs7BQ4e7ATs65lCfhpHamUb82Vy1x+uY8kM5xFxUtMV/d43FSu0N+nUuJx04yW7m5IpcyatLVhmFHYq5owoElR0CeqDrR6Wbq7VUeIwF6oemHfggNfQ1Jf6CVva1v63tajtoD786z7erFrLRLf1kMXYKgt5ONXQ69dA+4mkKun86lcF2MeBOvEmjXTSF6l9GWzvkVSLsOhUhdZoIp4uiFBJgPXXqvuedNNrEPxlMFBtVfngEG/jc8nPgH5PPb73w93363S7a6UmFXwZrmcmJjDw0BBktF1WTjzkp3yr1ikhFSAyeUEd5PLyelr0hWDOTMlRAI031BTN52W/5fLxhoKl8d9Cy+TMd4NM3ScW5UWc11M/mrYkSbFGrE8O2u2ri8kXVfrv0ZTbG0VmrRtGvvhgalO09Ki+IO6l3ZmmY3gur4nS5VMDO6VhhH80vOrRGlXePCY3jueB/Och7U0oz09Zz1nIdfmQuecKRVh8eSE0wk5FA4TDi/s0vQ8H7ZuCqCCgeppxF5DHUytBlsCgjF9q7TmpHeLin0E44TBUj24LmGvaqqpaP848bjGvtDTUTFB6lJJxQEUAjTsTGLbqoSXsvp0cDrmnBACLxYZHhaiLRQQJrF3LxSLjJRj7N2Lae6q26mQz9PRoayVjKRiPHVY3DJXXQU3DpyQ/mO5HNg21U1v5LHcCh59VPjJ8uUCbFnnPg+5HOWysgoHBoSyCgWJMygJo/OXdGUUHSiLx+XPAwfAtK4+fJjetKxxuSzVpQAfbYGPCWqw2PFTBnUR+1pmtQhXNZ+6GoaOmwb/BWOoCxG55wWUouZg7FnGUmN45vwz0MbZvCCeMoujViCG19IiZ6sJ064ny0KABFoTCLjRTdU19d3Jk8olVij48HvdvhyfZFThFVNRJRmJsA6VNsMoO3bAr/2aKiadTJLs6CAFsH07f/u3ANOEQm/lV+84Aa++KgrUbbeJ5yIeV0y6RRS45cv9jg063gzACMePD0M2y4m5OY6COjYKTILjMAmU1Vzs3SvYk0IBKBZZl6mwvr8m156dFS1QAUjy+UByeKFgWkfoOK+hfyXwdBumhhh2uQytrcaFjutCKsWRUkLktXKlrk5XWbZMbXuTwyNDo6RrhDl5MqDkVVX8XQer43EKBYnzGXBYqeQXWLBiJr3I7IlymbBX5dQpP0zT2YmvTeqbaSlPI1uNen5HdpJJY3Q2Z+ecFwKvGVp6prGYFrsUJOaSrDtQvhN9XqghmT/gpTm94IbSgjwvkLipF1IRf42w2QQtLYHjliUakGIGWg42CEVdmksx6Vot4EKwTk861WhOoCHZ1XhX1cYy1pRlUVPPk8vBxMQ8l16KX/k2lWJ4WISM6Zqs83tsm1jxCFddpTTSuTlUQ2weegieGF4hm3nfPti5k+iBJ0inxbWr29m99BLC7JS7q7VVPezrr5sGYDU7ZmDRhw8rRqFhkmNjxshumItIxATBjcdRJ9EqhKeSXz4ISc1HU/qjCIWAZqxvXSrhA5RU1roG7WiFvpZaIaagZRF2KyxbFrBszzWGt1jUfoGxWO5ps5BrPsf8v1aDUIhQKEQo1HJac5OZGd9NtmwZ/uQHtD49f2avxeMGDYhl0ZWU2LbZ3yo1p1j0ayqvXQsxbxLa20mglylDKiXK2f33yzPvm5piEJTScRyo0toKR90V4rb4kR8R5euuu+Chh8Ty41l51MFBsG0mt7xdYskdHaoZ7dvp7BRFZ0U6LYUoACkeHWYyvY40Ynlu3Spgm82b5VWOsIZDhZgomXoSlBWXzcp79fWpNe3vF3M1mTRWr/HYOA4MDbF5swj+SESRtE6O37CBZFIJfkHiMDamliOAWNaha1IpyGap2TFWroRe64RpMFsuB+goFvNjBIo/KLknlmug+srcXECpSSb9bAN1f/3q0KisN6JTJN7dUPksqDFaVkMoITgWMh5/+IaqWr7YaHCvnAGVudDxhc5rJvrGv6UO3CtjY7yy9x+44oprGR2FazdsANelN1nhbW+LmYTRYhGqqV6i2azsrmPH2PQWYeJmUwXqAIUdh0ymy/RlqyR7pTpHuUxYJ6Qlkyybaaw0YFxwSpjZttToLZWgV/0+MxCoWZlMUvXC9PQoJS7dZ5h0NpuQZGoAyzLuPiyL8A03wPbt9PTAe9/bwg03AMWUuDTf9CbicUkzMO6p224TrblchnyeqOZskYhJDo/HFWHu2OFL21yOddvSWNes0ZkIjI7CaDZBT38/5bLaFjqnSLlNPE/KRmWzAmBIpxFu8da3GoK/7jplJJQcYSB9fUxN+VWhWlqkJmdMR/5d1zCReBxq6dWEqTFSFGtm+XKFIJUAaaDAoV/G0/MkCN+lkaGIVppOx2hv9xGMCV2GB3/bW5aAehLG77WEcRaaWWyciT6aj2l6mJ6ZhXCYR3btIp3+RTmYzZJUTHXVKvnKGJ2W5RcKV5ZBOt3L1JSaNmUWp5LKG3HKpYZ0EanFE4QVsnbllaZXLC0tcqkuu2S6vW/dCmvXtrBzp99gPVwcwUUED4ODXHTR1Rw/foLZWTmnS1s1r79uYuLiGr1DUKJr1/J8qZeXHoef3rxZzKjXX+eaazp9l+sNNxDXHW25AWjHtmE9UtdFV8+79lp45zulcMHzQ2Geew5WrVpHb59jUpmuvPKNxpPjeDbVvvVEFbpqy5Y1lMvyqD39/QbF29cnCoZugs4dW42LIpVa7Tcrtiw/LUlLMdfFdQWERcoKeIyi4GLifBp1HLNrfqXovj5q6V5Q02C8IYFQjbFdFKoknlohNKuYWctcQIiBb+Elk9TsmP/s5TLJ5ArjeRlPR+nSsUrHIZvtYmoKQjR64c4PCy965oD92ayyxZJmF4vZLZh7p4bRTpQLsbOzLu4xDSVU3ctPncK078jnEc2xuxvKZXrjk/T0yKJOOmEj7GqWIKFids30TtX+baPhq3N1cdRmFGLQKmvwoavKHkHUaNSqGbdqJdkr3LlYFKix50Emw3g5zLJlSissFETrvftuVq2Cj3wEru8fl+vddhu1X/wAjgN33imVJMbGoNa/Xvwq3d3y/IWCULxlGZS9EXiW5ZtDlgWpFOWyH9aKx5WbQ1l4mYz68ZYt8iGXI+qMMzoheXImhpdMmrpj2qIyMTwVL1TVz8hmAznbl18uXzgOCSaNC2lsDCpu2OAWOjvFBVwhJvslgFIJeu6MpQYN4BWDJg1uMs+jvV20XWO0LxjcWGScg4XXPBYLByxEM5YF0WgbRCL81f33s22bgqy/8510AZw8ycCALL8OzU5OhcTq0FrEgQNs3y7bpFDAeARaWzF7NZw/Qn+/Or59u7Eo4nG5zNq1ak1fegkrncb6kz8hn4ef/3mffO66Cxga4nrgRgDP4/bbATKmuAEdHaIEpdNCQJEIAwOwdu1bcV34uv1TfOMbih527ZLJmZvjlltkb3xtXy9ceSV6s+zYkQFuJpeD9Vu2kOjvZ31aAFudnbLuVS9swh8mT862oVikp7tm4puWpWTa9u2waRNbt8o7DQyoObv5ZhgYIGbXuPaaGldcIeeP1leIaaWsswoxk++gPRekUgZKrF30QKNXQSnKkYivo9cIC8Goki3hwlHC5XFcN9BCTHmltC5hwjAK4KI7v2vrUt/Wtmkw+00MXP1W4+xaW5VXzbjNRBB3dECdxpqy54fAOwNKU49zCcifKSbRLOiaXTrG/J+dZTZkc+yYza23QuVLX4L5eZ5nI7t2+bInmZS+VwwOyuJddx2PDSaYnZWNmigflV2pYjpVL8zRQphCQU5PlI+KxExKdXjtdtR5nqagriYSAMsK/ulniKrY1kgxbFCYWsmOFY+IsO7v54jbK8I3l6OrdIhVq4S2v1VYLy7H228nm5XUg7/Y2SXXuu8+wp/8bZJJuOce+NSnhKDDu76OqfsUjwthbtsGs7Ns3Srzk8up1IhCQYIbngdbt3KklMC2jcLf8D5jY4rfpFISrNm7FzZtYsTtoqdt0lzXdZH3yuchHjdVJIpF5JkefxxyOUolOe3UKXEFx6yqfDE2Bn19HCwkOH5cnqVn9igx5wSeJ6doCzRWHiGcPyIPmslQS/fieeLGS6eRArxaGMbjVONdxvozdK19MQHiN67xcxF453BuMz0s5sZsPkfTw7IOG2Zn+fD/83G/ws5nPyv1Ki+9lAcfxBQcsCxIzJ2UPTE0JC93xx08+qjMw7ZtiP8xHmd0VOUmBoSbriw0uvJqTp6Eq1OC5NVpJY913AzJJEd/5VcYGICPflTc7nfdJXvyd/e9nRxwH8CXvsQf//EJ4NeZmHiIjQM1+MpX4L/+V7nYe94Dt97Krl1w+PDXsW34MffvuPNOJdTf8AaqxSKcOsXnPy8u982bEf+7Wsd/+ReAx9nYX2Xfvn2M53L8zwe7+NjHZA8mhp4gOvi0qabnefipNvE433pU4mXR3PPYLXOSr2klYHjYVECbmFD7ZnRUqhB5YZ4dDPPMM6Jk9Lz8mChAW7cyMQGxwiFZjHTahPfwPOGzpRIzM41FEmqWFEHQlpUWkp6niiWEw36eYFNYxLToURqdCaEEQi/BvRqkBRNaAP+GWnvxJLlcJ5ibxHgVYxgvS9nC89PCO4sr50yIy7ONM/3uTMi4bCrF29/+k4TDoulrd3GwCo4BLmn7XzmdLctPzDRIkkChZgiEbAJBItMCw7a1V9DvhK1dheqH+jrGMlDBJE0k2j/X0iKttBgeBtvm+VyUXE7l6g0NweHD2DZGIOgYWm98Uio0QKDYJmzsq5g+XcPD6lgqJTc9dgw8T6za1lbC1IwV3NaG/LF5sym6qI+tWuW/gnkG/T+d7Z3JcGhYKSTFIitXCm3MzWFiEVorXLlSMU7PM21VVFiIVCrQeBfkeDqN54kAj1lVs0Cu6zd7NrEntei1eIIwNRK2dJXWe8uYcvG4KRCuwxSNC+9bojruKJ21lzZmF0BpLiXdYKHfNHtGmq/X3t4O9TqrV68274PrypnJpKkGZNuqULkqM0cmA+k0NTtmhFlvWuqSTsZ7mZlRic1qjfN5kQO1/vV0dsJ66xA8+iidnaLP7NyJgFBsm2HgzelDvO1tLeTzohM9+eQcpZJKSQClNbYDJ4ETVNww9WrVz2FQG0KWTKXVbNnCyZNq/3zvexTAJHTPz6u2QXfdJZro449LAQa2UPGirAO6Nm2iWPSLnehGjy0tctuXXlLPpnx1unY8lkV5OmJKsFEo0Fs+aBDR9PfDpk3U0r1EqdLX59eTJpMRv7vniac7IGiMo0G7hDyvMW4MfjsyNR8zM4EUHdf182eVNa4RpBAA1eBbbTMz+Btep1NYFqNjYVOJxSh5wQ/a7aoEn8rwoqUlkMKAeTUfQdqwn8+H0RwFbxpnItRmMMpCbpmzpSkErxkc8/N1IIRtq4lsbzd7KR6XJOTWVvzorXJHxuOByvFqE+nWQGEk58XUwdQWQTIphq5yDxgmqaWrQbBghGo4HJg65XjXlT804quh/11fH8WiCpDv3Subce1ajQeRoUs/FIucOiUy0bSFeOQRyOUYGoJHHpkQ4bRvn3CbQgE2bOBgISHXUoX1tLDwPPw5Ugw/6k4SLZ8gHhct9vBhpc26rinmbOa2vd2PNaq+fq4rj1pNq3zAcpk12RoXXdQYONfINstSeVHtc35dpv5+Jt2oD7gIlBrTlXRM4D1gnZXLal860ttOp1oCC7oyzToF3NPBYrqnuT3PMloXiOEtpgA2W3SLnbOYwNSVVur1MPW63/HcAujoaGj30t2N75bq6TECxbSIAshmKZWU4qFbO9m2AQKWywqVt38/HD/Oc8+JoGlpkcp044OD1ICnJtbxyCMntXFDf3+ElSsDAq+jA3gImAfCxD76yxwDeZg775TNtGuXMjC/JXU302nWO0/T9dnfhv37Be15550cP/49QOl9zz0n+zKbVW2NbGJ2TXLz3vIWcjnZWlu3IpvatnnlFaGl0VH1zvv3w+HDettSya5nctLn+Xge7NvHxsy4WDebN1PbdLXQdqlEoniInh5F66pPHuWyeC0DgsngDIgaVHLA296Y2xew1DxPWVXlsuRgplb47ZJeeonedE1XiDMErgupNzS3Ngg5v5KftvLCXrUReaLDNpZlClp3dGAUSuP3tSw/fng+djw/21hK0njQFXOmeF7zOYsxg3BLi8rDC/mKRUeHYX6a8UYiqpmo7tum4k8G7RswD3RismZsBj6MuDoFEyHCoKUlwIA9jypR8c0rwWdZfgs+M5TQNG7ZY8cMdqC25XpGp2L09SkXbLkM/f3U+tZh2wEjO5ORZxocxLbFDTM6FROB9+KL4HkqjDnpCwFdWBS/IIxuANvS4udpa2ALpRIkk4w4CWOVTU+Lx6W7G7lpsSjzoQMOHR2+hew4xDyJuZ06FajIpSrRmMR+x5GqFVZMo7ZJeONys3jcxHI0s25royE/Sq+T4QNacjuOsUi1ZtqwDkpbCbpvIpHTBZo22NUlT0uJOOM4B+nYvO+bjy3m1jTnKC06HA4TCrX4eheY99R7yMSGenok8LZ8OVF30sSEql7YFDXu60P2jsr90BZ1V7Ima3nRRdDRQWenr5ANDIAH9CJNViFseuGdPAnf+57fu1K4/2v+izzyCKfAZ7LZLNx1l1httIu79eGH/UrYq1aReNvblKSOkE6rQvHaHxiR72Zn4Z93h7E6OuChh9iyxffe090NY2MmIqH3TLVchpdfplyW7T415euzto1fnxd5nCN5WRvjKXBdSUlAVSxR1RtMzUnlUtT3NDl2rks2q5rpIt9VrESDK7KzM7COmYwPq9SFaqenqbhhXUSnYegwD9Cg3GrkuR4GnBJIXWl2hwTz+mZnaSAWQ0/nYy3NBYtWBg8v8BrN1tlSBNtiQBU9goS+YGmxlpZgiAZc19fs9SqPjRkwZRCIEESda993UOAZrUtpMW1tavMG1LGpKUGx1QgTVVBrE/tRUtYIYyUF9B4tFuV6a7I11d8FA+/X5ezicWBoiOqxY2BZuiC8bDYtRVIpjh2bBxLSVqVYlHpimzeD53HppcqtFYlQy6zmxRflGbJZhAO8+qrhjsUiTHoxYxDoMIEWLMkkPshFWQCmIoWCtaOnPlC3USNgdUqCdqN0d6vv2tpESQFTaaIhiK6ILpDdIYF3vZCKeINuoYbPtk3VCzcITHONwJdNCnCj0DzbOIc8vOZ9v1BqwmJKIvgCLxSSzy0tIlTC0CDwGly/KqGf+XkoFk2BkVIJsG2WL1cpBh0dBn2kPSMmDNDXB/39Bu2bzSqBA6yPRHj4YYhEOrm+7wSplGxP24aKfrmbbgJUzJVN8MorEvHp7vaLFWzfrvLCLuOOO5D4YjIpqN/Nm2HzZlUsea30gMzlZL9v2mTozeQQrlwJtm32sgGUtbWZ1jnpNDA2JnO3aRNDQyLkdbfwoBcDoGJ3+VVkSiVR2AAyGUOz8Tjo5pkNng0avYXaLZmwqzLPKtRiGikHrD3Pk+eadMIQCkmqkY6zKbCZiUurDaD3vGXRgAolHjdC1QhE9ZszhaWCWL2GkHWA5prH+SHwzkm1lbGYlaaP6bGY2/JMKE45D+r1GgSDoiq3Sv3ZgBgCjG9KB4VnZmgI9GrEpeZ5BoHpusSsaoNP2yymdhcohqufuEqU2dlAxYTOTrBtA6DAtuGSS7QxRW+yQpddkXy0LVvkpEKB1ekqU1OYuAODg0Q7OmDHDkolKbKyOv+YPOev/RrfGl5DJNLCW97SyTrvoLxbIIF1fl7cNnNtCQoFUbI3bZLkc1MtQrl45+Z8UIhlyXmZDKbaRjqNjxhJpfwE3Xgcnc+YSimwiBb6lkUmo+oPKqaZz/vKpAYkhUuSc4TjMOmEjeD3gwvy5/LlAddzgLNrIVYlSjUuwtMkxyqErN4nGuZds6I+Fbt+ZRzUcpl9tJRxjijNxUArZzpXn+ep01taWqjX5xtlrXoBy/Lj29TrDbmKxOOMjflIXMplpqcRQaJ9bp5nFBPjA1Vek5YW2bJr10qnjxVAbW7O1Hv85wMrePxxkW9fvLciYBqQJnmmNP3F0N/PMpD7PfywuCZV7BBOyL2vvFKQNatWiZX1uc8RPfAE4Ej8TVX0wXVhbIxyWbZoJgNeLgcdHWbfp1IEktUCW6utDUtZNdkspjfm5GRA8QQTWzal8rQgC3h5jCKl3B+eh699qJzg5cuVwqno6EghagSoDg+YRVQKjI5ZxuNApWKUTlTz3ZaWphJ+AQXRdWlQ1LUg1kLU3MvzGjqIGEvP9dt8aRyLEaxGs1TjvIzhmRU+93Emd03zeYuBVRb6nTc/T0uLBdQb/N1aUy0WMYzOFMpT4JXR0UCtTLVyYa+K5/nPqxfUmIM6EKwWf2pKMY+AhO3sxOyCiYlA+TK90xyHzk61z1TFirk55ZFRldbzeXh2KCqEWy7DI49w3XXyG5N+0d5unqfB6ikWufJKP6Q3klwvuXXZrEzI4CC99jipFESsugGI6KotGo6O6xItn+Caa+Dq/oruwUqxKNNYSfYyOhWTOoGqygoHDpgSaGQyulmBbJ1AUe3RiSgTEwEAyfHjBoXuOFDNrsONJvxE3kKBhFXxQ6QBP4qmq6DlrQlVC7SGeEjQpAtc6jRjTB2YmfF5k2Vh4rxLGgsIvO8HtNJ8fKHz6vU61OvqtWo+HwMolw3/LxaV6ywUkj9eekkOpNMGOZuI14yrLp8HAwkslymVFJpXl/VSNPXKK7J9czkJGbvAXiQMp/Q2vvIVeOihAo8diPkW3mc+A7xZffgO3HuvxORaWqQN0He/C3v2iDKmbks2y6FSlwFjTZbL8OCDdHR0ks+rZs+ZjCzc/LxhxkEe7LpiRA4MqC8yGdPXLpsFkyx6xRVks5L6k3BGqNXEg1EsItZif78GW7KaozIBAaVLN+YATJa4Ab4FlCrTQaU57BDwVsiCesYNqt/DjEAFFPCt0QZlkIDSoy+qvtfXMmXNkPQJ0xNPE5L6fwCsies25fwRSIo/L12aV1+96KGFiLg55nC288903cVieK+dPMnx43kg1ABGaG/33RWmMofn+RB3VV1gfj7gdzaRaD+eD4H8GCUEgi686WkJb1TthNnAOn5Fuaw9GH77oACTBWQnOg4dHb4biWLRxJ2rqV6hyFWryGR8uUUmA2vXUkv3+rEw25aHefxxel5/FsuCF154TZV2wm8GF9iszM6a6uiFgioTlk5L/OzAAcjnKZelyeWxY37KXF+fFIdua5OQITfdJM9ZLHL1Jilaq5Fmakl8n43jMD+PYZDE4/Dii8SGnjZAUq2XVNywr7mUy4ZhV7yoAfzoahaOo4L+2oejhTbVRroO+q0dx+QQBUIqDWi0jo7GUNy5gFb8SP7Sx2K0cTaa8aouhMNEIhEikQilEoQ7OgS5XCgQj/tgk1IJUZi0EhhwkxUKKmXm2DHWpCsi8CTr2yAW29rw97Ntw9gYti37p1xWrm+khNfGvgoTE0J6Up2wk507QXMT7xOfAK5Rn/bzbe/NtAGT+TzOvn3S9qNUUvJ3Dw88ADz1FOucZ+XeukD38DCpFORyw9L1PJeTnJkDB3AcePXVE+zdC5Zt4+7fzx13yM+1AlnLrCYSMTUQfKtvehrXhXHJaKS7W1JDXRdxm2azxkIzkk1N8qQTJp9Xe6ZcFkagkY0B4JUeJlRQLht5qDevtuiCaQmqWJC/N5qEUlM9fFNFRRfVN3SgPC9a2C9bJmxShzJMWEcH6FVoJuxVTeGNBsGr9oZGmtYjjcjm80PgnQWlqcdCsYcznXu22N9Cv7csqLe2UrMsXnn5adLpWXHrv+1tkExy7YYK27fLJmxpkX14yFHtM2ZnJfF1kzB6gyBUTn7LEmTimtSkzndmhF6xqlzXrxVZLJLJiGwYHsZPLPeqxsWpg+COg2nmqlFZRmOzbZPjVtt0NZW+jcS8Sa62DxItn4AtWzia3EihILmu/2XrUeHQn/0su3dLcvkv/RLyItdcAx/+MLVNV/PzPw/vetfFuC5Ut73dL6eiLMNE/nmYmWHcFbBIT0+gIsqOHfJsu3fT5Z0IptCZWIiOrxlU344dwhgPHKC3fBBsW5fkJB6XuKY2M5LJQIWaTMa0VNBV6ycmmsofKTh3NuuXyKyle6ll12gPEJmMSg9JJqlaMYlrKMtEo0xLJQXuCbQ6SVgVU0DA6Dwa3u04JgVisTJJZxwLlOP7fhCYZzpXX+/x7z4J0Sj/4wO/yFvfqiyQ229nBUA+z/btUudSIw7nunpkMi+6SDbo7t0GXj84iPi3FYOsxRNGwdAVREZbV8vJhQJ0dxtLolwW5GMNuB6o2THe8x5ZQqnK1U4yCWqHMQn80i9dA/wYsIG9eyF8ww0k3vMe4hs2SMLmnj3S+447JD6s0ZuOA5EIiWwW+vuVXO4UwTA8bFJwRHntZP9+4E/+BHvDBta/+k988IOYvpN6f+t6rKYCwtgY2awAOY96vSxbBnfcobq+b97MZHodnqeUAC0MlCKbcE9w2WVyvXFrhf/MqOu3tholwrIUi1XdoRvyPgOxZL13o16Fiy5S8VA37COuNMF5nsGxmKGYTne3Uuh1vCGdpkaYmFUlYVeJRMRIKJXkUuHSCT+tS1uQQcUZWXfTAUJJ6xgVfz4b9u95PpqF3EKB98V+c64arU4Z0O1QAKrVOX9SFazXcQQRNj1tQlIytBZkWSZuAxitSLvBsG1zzNTT1OZ8AJBh3NX6WADJ5LriObIsGlxpxrugTAodWzE19bSpoTRvDZwsl/GTW/HDKNms+pDNwpYt2htlqthHSyMmkG1MFkWlQ0Oi5c7OKjj3rl2iqlsWDAwwWl9BuSzMamzMryIWLhwlUT5Kb6qKCewEOixoDVNPl2k4GZAaZs3UAmkUnNYMzbyZwoLy+lqz1dfW8qnihqUoLqpZq3rYWmqFKeZr8vt0uSTLMqkNmqaDBXjHHYml6K7nAWfc2Udz1dx/4zhTLPwNb3gD1OuUJyeZnfX3pH4C7bbVr24eTSOm8N2dxiIpl8lkVHWN/n7YsgXXlWYdPaPPyxxt3cr45reTz8M73iFV7LoKz1MGUtdcw0c+Ivuru1sE4Yc/DL/7yRqTwBag69Of5pFHQAp+vUlKh1Uq/sIqa+GFFwCGxfVcLIpAGxyU57/kErjjDg4cgEsuWc7P/AymGSq33sr99wPM8J73IN3QAW66ieFhmZO2tgajX+ZOo8G6u8nl/LobIeqCUFUTpR0ngFGiGB4Gy2LEW2EEaZddMalElgWT9gqxEFMpli2T6e3prMrmz2ZNKF1f1wBl1CatEGvkP7Vao+8+mTTX0IUCSCYZG/PJ1dCAJ6j0mhWlZkWNzDJWZsA71WBF0ghYaW/H55O29P6cmDhfi0cvAXF2tpy54Ajm5zV/t1iSbcNwXahWmZmzGB+PsX07lB95BFyXg6UVHDjgx+BcF7rKR4TySiVIpXhsX5QXX5TNGM0fMiVBaoQhHjfJ3/G4VPXQBWs1QyWdbighaShFmwm2bZCIxjevdrCuB1mNd1FN9RpLqOd73yKRe5oRbwWPuW8UAXLgABsz42Sz4rGs9G2Uez35JAC7dyu3jA7w7d5NOi3Q77171S2HhoRJLF8OW7Ywmd0oD3DkCG9OH2LbNpmrPXugdutPwI//uNy7VKLn5EHThki7WgcH4fnyap4vr2akFJX7PvggvPqqlFDKZKBQ4KKLMEAIU6qsv9/kFK5cqS42OAjlMqdOmTrRfjxAF+qzLMNYerprxJwTRN1JZmbkfF2tIupVxDLWJysFQ9cOCKJuiUs7FG1NJpOQsKtmrWrpXopFH6FnGM5Sh24i+H2MpRRsCI7u5Z1QrfL/+7M/5zvfmRMm9+CDnADIZk1XDQ3iaymfbJy4bdt49FFxj/f1gSYgk29m24xbK5iYQJScclk2RKlEV06KjH/3u9JF/IsHNhIFvrx/P3902xPkclL55+GHpUj5Y3vDVIEDAH/wB1ILligwyD33IM1MdR5cezvE42zYAHCRoI6fe47JzTfyLe9GcXs8+aRkvCMKYM/0EVmsq66CdFrog9fYuhXy+/dDucyXHwizZ4+QQWLoCXrdI0xMwAsvqLilTm9RbakGBmB1fBxqNSkUrdze+bwP6CKXk38B+jd1MlWHdPr7pV6rXTWQVQM8UUoGtq2xWkZDaXBbqqGVvihVURIcx+S0kkzS2oqPEleMcHY24K0IoDT1n0El0rg+m4N1AT+prr3a0tJU0UW5XWdnTwf4nx8C78SJs57SHFZfKNDeTMhLEYqLjUu7u3nrW29FN7zUZwa1DpMyEoQSqeZW5ljANx3kZ0axCVzMWCWe16D4mA9NqKeGppoLBHs1sCVm+7lDet9X3LDpFpBOC/G88AKyoUdH2bxZZFiphKiIV1wB8TgJb5zNm4VILQvfDFy1ymhwxONSYd11TZGWbFatx6pVgoJTdcei5ROmU7KuOqG8NsIcdMFM9fzjjpSiam2VeMfAAEbRoK/PyP5IBB9mqZSBQNs8eRb97AribWKkSjvt6Gj0sgB+HE9ZCJYlrqt4XLk9A1a6tl4bUh6UPylMzSRqN8DGlzrOQTgulK6zlPP0mFXu046F8iYC+9ag4XWIQrfUiMdpb5elX76cBuQiAI5Dl3eCtjY4OByltvXNUl4rl4Pdu41Sls/DvfdC/D3vkRzA73yHO+4QL2R/vyhVn/0spBFAjVcu///J+//4uK76zh9/ztXV6Go8Ho/ksTWWx2IwilEcxTiJQgQ4rAmBmjalhtJCS0pDgQW2tIUt3W23+ewnn5Zu05ZvS7dsgZJStqSQFlrSJSwupOCSNCjEJEoiHMURzmBP5JE1lsbjq9HV6Gr0+eN9zrnnjiXb6ZL2Sz7n8QhYM3fuj3Pf57x/vd6vt4ryLQA5UWizs7KT7tghzM4vfrFaZx1y7MoKGX86ApwohgPPk/XUyO+MuDhrNfbvh87OK3Eq06QA9u7lW9+KRDJqpRFFhGy0oY78Ua0SLHfwz/+sPLRymdFRkVfPwyg0hobA8wy5ChCL/Jj6U9Xfx+RVtUsXWiU1ejOQy0udr+vGgFRG4+j4oVX+Y2pgrXSC4b209iy9hnT0REdagKiDhEkkYuZG47I6O62egW0RsE73h5FabI0c3qWAVdYrNrePX+u3a/3dfnzCFJ47McVjW/MGsq597lwOenqMEGuAhVaGYSh/6xi6Oa9ij63VMNaftVfIgRZMG09qfTIZIjYSZXk5RDVlupavETiG4d/uwKzdKh3nP3sWw/7an66zbRtRU8zrr5dETanEe94j7Eq1Gjy4uMd0QXCqynDJZuWdnjxpQoKg5kK1LWgO7mbO64cwxJl4zKQh9f3kcurag4OmlskEAsKQvi0t+vri8zMz65hQbK+r+DYuvxwGB80U6tyruR8EkKLDksYUVWFjHbLu6iKGfiObpU6GIBAPLZ8nEgwL/dbREV2vhRNDgep/Gkv52aBW/gV1eGuN9WpX7RGq+3JdF7MelpflF1Z43ii8MIy49VQJSmenIl/pacLiIq1sL1NTUHd7JR92553sKda5/35RWnffrU54111w++0cPCh/PvLIk8x99LPsAfjEJ/jUbSe45RYdRPlHvvjFOo5q3zCJ5MRkfEXCj52dhGNjTD/1lCiGa69Vuve1dHTAiYO/zKcO9Yvyu/9+yrOz8LnPcfPNsp4+8hE4tu8XxAAcH+dHfkTOXk/34wMcOsSWLeLETkxgjMrLLhPlcPgwsu7UwshmITX+ANx1Fx0dQmb0la/Is/emm5Gda3MaBgG9bp3LLhNxncvvNpSAPT3ID1T3aG3kEQRCFu9bIA+t1VQ+VRtdjl9ncFBe4VyQijrBWrKrycKzWcyC1YpsaYmoVKlWw6meNvtLEIgBnnKb5zG1xLg3LeM9ph7UXqo9xR9OppVdu877aK3w5Voenj72Uj28CynJ2L8TCVotoSRKpxGLMp83ydbBQQl/mST0ZZeZxHGhECGXNYtEI3DMpma79vg+ujumQVJ5nomPJ/05CIVpRXs32gPUofWISkEYGapVcGpzkmvCAkuk0yTdVqSM1Y6+uCjWV7Uq98fkJJTLnDolC7flpYSE+ctfhiDgS1+SdMXUlGoNc+SIxDi/9jUhrlU5txNX/pig2oBXvAJZzY8+Km2EaMpi9fqZK+xBRYPI5yFVPcGuYlNAK9WqaKmREcNFzPg4lEosLSluwqEhyGbp6SFikdCVsfk8c2GGWk1skr7uOhuSy1GSslAw+TXbQGl6GbuMTNoD6XBkbit1X95nhjrJoB5DveF5tLLSAmplRTaH3qySNavOTytEjbh9VuNZojSfDXDlvN+qREmz2SKR6NCk+9L1O5830S7Tu1XnfPfuhXyeZFCPEIoAL3sZ4+OKXH3sq5I33r+fz94jzUpvugl+du9RkZcDB5j51d/nD/5A5uvnfu7F9L7pBqYA3v1u/svHB7jtNhV6Zyu/8RsZPnvyJADDGzfyYz/2EPBJYCvfvuc05+67jxrQPzoqrmE2q0LcMzz5pGzyBw7Artq3pSYV4DWv4dOfFrHLZtVzqCaxL3uZvNKpKWF/4YorUNMiRpIKA1o6SNbXfffBxIQomdFR2LePmRnB0ZjGynfdxb59Cim9fz+Mjgqgy2D/raEU165BVfaxtAS5nAnj20hww0Nvo2FRa0sl4TTS3Awdl1S1EBp1Wy5H19b2oDbsjXcQRnV41aoqZldGawz/oIeynHTqobPTIuFQBqc5vC2m6fJDMFa7vAt+v1b5Qft4tov5osAWR3gDEwkxz5MAmzfjuhFjQjN0VMF2ikw2a9oCDNx4I+PjUszcO5iHSgXPU9cKoroXk7RVL9HzhDpMMxYYOHIodXdnzkDvkCdxd7/Oxo0aEZUzm2zOVbVONbHOjAGkseOlEoXCTvmsWGQuzPDg/eIIvX7fHHxoEm68kensbrZtk7XoHPm2bGC/9Ev8r8MZVlbgd38X+s4chcAz1qW2Ih98yGF6OsHqqmxq73wnJO//umwSw8Owdy8z80keekgWuAZvJg9/Fb44C695DQ8cEQb3XXsRaQ8C4wUmR0epZwcMslN7ZUmabNqUlHDJimtClpUpWU/SX68mm4GGeasNWy/I9qJesEjAVZ41kD1B8hueR5Ok3FcYmHCVeNpO5E2iwzcpkp5YKpm0eEztNUaXNC4R2bzWeDahf1AKL5Gg1RJqq40bAc8jo953V5c4/1dcoTbrlQ3yh07eHjnC3r03MDkpdWy7hobIVWEg14CHZqFYpD54Nf4R1fXePQ6DQ0y//TfpD47T98zDfOyXpFfc5CSQ/TQHq1UeXL6afWciQNAtt1zJnuu6+Shw29AQicm7gFuBv2T1nx7ndF8fG9//fnLf/a5sxuPjsH8///hhgJ3cfDP0HfmyAFXyebjtNrb+yI/AmTOMf1Q8rzNn4M474W3XXw8zM+RygkKemICrX/MaeOopfuvWJn+aT/Loo3C2+EY2bYAXFeFj/9e0rMEnzsFv/AaNm36a+ccxykuXLgwNASVg82ZTYdCnAFG1IEV2cBeOX2d4WOTQEKhrhFoQSA2h22uQxtqQC0O5376NDagEYhAq8FQ2C0mVI/O8rQSBWiaJRNS+RcU7dX4tDDHeqhM2GRpSaY3QxQ7b6IiYVqJNN0WoIgMxBe551IOk0ZUa/N3rNaS/ZTpNM9fP/Lxazz+MCu9SRrvSs0Epl6Ls1kKgrVfLB1JsK/RiUmjrgtl0df9PTXc3OAiZasWCO0b76dBQiqQO9ymEw4bNu03d0sCNRVGU1SqFwV6oVEjm8xjnXMWzFRezNBklhEqFRG2ezIub4Hq0PCnUlnIcB8f36c2n2bEjKRt3vmjgpBm3YZSEL5S3YrX6vkDhhoboTzf5r7e6HC85HA1eSuHHX0qmepzX5yZgKEezZxfHzu7Gr8ktFob7DXjnOs/j0Z0pQ1mZDOqimfbvZ2bWoacH+mqnefNrXFOC4Ph1YYPPbWVy0kKIVkLRurkcBVflyfJ5Ql90pzySaxad0o2kdKV5EDA0lDS58FShIDljz4N8nrovHnx/vhVZpAixreclLZxQryg5vy6bQqiUXyB50s5OwEtF163V6M9LE14xdAKSntAvicxFr9cg+Z6Nl3eRHpLt42IEDRcChLVaLVhdJZl0ok1wyxbCkydJjo9z7bU3sHGj1E3OzsJrX7tF5vHIEfjGN+CKK6goAoKREaBUYmBoiBYpnCuvhHyeWi0qAaEiRl5/Lgd+CMPDHJ1Kkq3CnvBhqLn83teuZmEBfus903DoEG/cl4XcKN/8h0V+dhg48lVWcys0hr7E2Bh8auqVBP9jlW3bJhgeGhIWli9+EcbH+bMP3cab3rSViQn46UM/RhBIzfquO26XY971Lg4fFmX3H94krcCmB1/L4dFX4h2CP/9zpaSGbzfgrv/wln0cq/ZSLquWUwp5Ol14KYcnr8Zz4aAH1z3zd/BoFYpFNmTgmmuUCKryHW2nHi1nKBQy9Aan4e77wfcpvuVtHD6sQsV58dZO1DJkR19LJjhNxmty443JqL5XIcyfeQY2DqVIqVh0urDVpMlTqpNJMadoCMOQiSeTzG2/EteViIZmZzEhbAth54JJbbRyWw1zjOPX6dvoMhekDJF7sajWPUStH1yXtBflzvWSbHkpHBU2CwPVmky3LrLGD0dI8xJHO0DlUmrxLnSe9t/bx6+EIV1dncAKs7NqIs+cMcWT585Fbdh8nyisWK0aRnKTMNYB8ja+x1ihc62GU5k2NEu1mgimVlIbNljAPA2a0FjwctkImak5TadphMkIjKFvRkPplKVmQ/C1Emxle5mZT9IIHI0FIROcNpZja3CXKXrVFq7BW6hVoHPdBqKslM/SkkxTI70V0mmc2hzO1DEzkXbkpFLBdKCgUhGEJDJnOr9mkJEKBasfsRk65nPd/qS9hKPuOyZlZ8xVHYqxwia6yNYGFQExZed5ChxkoZoagcP8vLoXdV5NEddyk2h6NM8jKll5jsaF1srF0M+GaSV6DOjokCc5dcqEpXSJi4m2VSoixErm9bvFi6IUAM2sQOxNfeTsLAZuq4zEWk3V8CkrR/dx1SQGAOTzHD4saT9qNbj9dlL3/i/K5SgvuGMHos1qNXjXuwSJWSoxPCynKZUkerhr/G/k/t/7Xrj1VioV1ctvbAyyWdPV/I031nn53gZf+xr89VNXy0GqY7nuELFlCyYhrwFKhiElDK14ekTzqaMxnifrZXxche91cnt8nGR1mvl59fgqFZHPKwBKeiv1ICp70Si2Xq8RhREVJkDLngk3ohSR2kxWSUS2oHonOqDj+0QlHkEgnJtqUYXh+gwpdgQzFvIKQ5HVsGk+MmtPhWHMelkjIvK8UnhrITUv9Xd6rAdSscfq6ipTp0/zta/9PdpJdixy5i1bxCqPgYs0As9KAmuWDbMzq+RsT48oTZOQNugUjHcQg+16Ht3dFi2PhfKyQRJ2uxmNIDwP7amvASZvqG/d9m50ramuTTMmYKWCEzQMBVIYKmvLr5ucoFZ45pJtgqlvveUqHkqt1Gq1iFOUyLKLFaVWKqTCuin6r9UwE+mETfP8ZiHq7/x6RACtkin6OsvLFs+lniyFzNM5NkNlFFup8WeKPaf1bxMqVfLhhE35j4ie7NmWCjybcTFqsfXKdfT/N5tNSCRYXFyM5KuzU1ZGZ6eRM/u9mXlSMV3zO3uo3SzpShRFFySzcaNYlDpiogAM6bQYOyfCflPWY6xOtcl2danrDA8LLyZRy8ZSSW3AExNSE7q4SOvgGzmeeym+L8cVi0pBZLOiYVRz4/vvV4ATdSIdxZ8LhQnp2muFLUyfqLXvldRqwmHrVE9DPk9zcDcgAYsbb7RqEFWuUwOrsllMkZuyMRkaEiRzI3AiJu0wNPgX/QI0NiDltYyyWFhAJktVi6v685i86/cXhhJubKUzZi9LLAURmYMytvUWZAxO143WqlJ+ybAR8XSm07S8FCsr0X7jBA1iJ9ICFLMuo4+0EJlOCzoJHpPl5/lYC4mpx8U8wLXCnOaleh5drUV27DjDl78M/MZvgOeRGvu6bgxgwB+Tk4hEaqqQRx5h716Rr3IZqR+zNt9k6RiXXy7XnJhAXChbQygKsDCEE2Wp3cu4DTZtsuip0mmJrVuS2pttGWpObbnpvxteb5Sttjyu7dstkgYLbt2bjciPY0MF78+cidryJP0509VdP2cyKYqwVoNGbkDut1xmINfAdU1fTFFCWnNmszRJGgdWOXYRhYdqFNpKZzh71lJCFt1XLhdNdUzj6/93XYn7B0INls2KQrMBQ+Y9WQv27FnLOwFhu0i3DONEECilaQ3Pi0gqjFwaC0mGpV9lw/g3Ghei6Zs/2wDP47233MLNNyuP4ld+hfSOHTA5yY03Rj1IVVs28eCHhyUf9t3vct11AiYql6FV3CkbYLbXeCa6L3CphJSs6K7AQWDWQxCIp5NOw3veo8Kj+/cL+GTvXgnFFaOaTi38hYIcu3+/AoB88INCI3T2LM7YA+z0piPEIYKr4sYbBYgGMDFh2JUYHobRUbJZuc10Gh4ed5icVL/XDYuR/6uHqVhZjc3BbMA92azk+UPfeHT6cx0StJZmBI8MAmN4A+C60XqtRby/RlmAkT1bn2jZtO09M8IQmk3zCJrqUBerb9iA2Y9MpMSqp9PGp85z663LgGa0IWvV39lWul7jsSiMfbNtN/y8Vnhr0SDZYy3Ldr0SBj3CEBLapPc8Tp9WwqksPYpFpqai8MzysgWc0D5+T49dfhORPuvEnTqHRrfFiAiDAIpFnnwSk9egXIYgMGi+RqCeZ3k5lndq4Ri50bkinfhN0Yiuk83SzA/QcAWAYlCb2t1TK187rIbFSsEOW+mMaSlkPn/qKTl/NssJv9fUZg8NIchNBcE8XkmZcGg+j1gLWnNmszoibJLi6TTRvFhWoOtapLjWStK/0evI9qxNHHl11RBNq6mV0+rv1c23vJQdhY7AK+oiczXHEEBnvKZYnvpAVXepL+8Q1ei1vJQoR2WtprzW2h7QD2hcLJx5MSMxCBag2SSVzXL4sEq3/MM/SDlBoWDm8MknRWH19kKqctzkphkc5NFHBYzpeSr34vsChnr6aRgc5PBhw78gYUMtF8vLkM8zPi66JJ2G3vC0qdU03e5dFyYnueoqJcu6CHJ4mLvuknBmpaKAMu97n7Aq7NvHdPHltPL9QIQ6TKcR1LF2I4tFfF+FJu+9F44c4fBhOc0dd8DVw01+NPg7Mnf9GXgeJ0beyN13q1TAxAOQzfLNCaEY25WbY6d7AidsMh30UidjiNdZXtbgT6nF8zz6c032DDZI+afxfZmDVm6rCWMY5aFk0g5hOn49QosXCjA8TNPLsHEjpPzTZl8JQyGe0HZn0p8Tr1TTpmzcaNZssnYapqYMytqkXXRo1Opw3kz3mi0lGTZI0jRRk3PnJHxqOGpF0Mx+1iQZQ4oaT1KtoSaSEmhfNM8bhfcvQWmuF8pc6+/YCAI2JZNctmuEpaUeQRp/4xuSJyruNHmKSkWUweAgBiqP55k+V1qhJUtRjopslqNTSUN8bvIQluk37Wc4dUopqspx2RRc18iSseKWl2MbcLks6Q/PE8F0anORseS60eaQy5F0W6TCulFqJtcGzMwnxbNEEtcDBTWPKvxSq8kzj4woZe+6YskPDdFwM3R1Sd25DtvqG256oig7OlTCeuqYXLNQEOTmcq9JaejeZxl/2ijL+uDVTLsDpnxh717oT9fRULQTZccYGY5fN/nKuu9EzXOVxYrvG7CIUTZ2mFhtHlqB5vPKaFBz1PKEJ3RBd5+x66Q8z+TnXDeu7JqhE9kosQTFczcuBO660BrRY9euXbCywof/4A+MiPPUU1J35rqGtf/UKZmCDRuImFYUvYrWfZ5HZFTUatDZyXQ1aTbUYhFp21OpyMTv2MGc12+6DQwNAZOT+L4yKKtVWT+1Gq2Rl3LXXQqGf+QIfO5zUKkwNgZPPTUv1z55UtaiSk6HocxBuWyaOAgN3t13ixFXLHIs3Mn99ysxfuIJGBsznli1CtHNYHrFGRSveuddXcrAU1/q/Fr7q9c2nQ4ktNykEVIdQLENK81Upw1mz7PqaTG2l7mQyphE3nOtRtJtmUhErGhcXXCllYgAKjqvSqSfWjgxr04/iJbzlNcy6+bcOVkzWpGZ/UGf13VpuclYwMtgF/TEKAXp0Dqva8gPrcKz6+XgwmTQ9m/aWVgudv71Rl8mw9at0lJ4ZYUYrUkQRKwBXV1W/YoVy46BQWw33IszUyRdCx2ovvd9EQoTilCcPTrksrysPtchTcutN+9fCZHpsWZt5sZDDKKebK6LuQ+N2q/VkP/RHaALBU4wQKkkOurqwTpO6bhAhQd3Mx30EgRSs7bBXaJvi0o+K0SkXpwbNyrkprYgldaNhWdomzdLAfVmhf7L8esR2jKIh0zMC7AAJu15AisSKqGutvDKmlETC+yjby02v0qJXUi+YiAV9bvnUue1162u9f2FoiW6EXIikYg+DALzhDp4ofszep0rEWeoykVpLzCdJhZp0AgKzZ1gavWGh0W7qTyWLqDWSsTkaXWcMwi4915hAjMNkLu7YXGR0VHYsaNH3vHgILz73fL/H/kIA1/6HxCGfPzj4lgODalQaTotZAsjI4ShgCZ/dOS0POR73sOhQ6Z/rLxDHZMtlw0zzNGpJPWhl5L057hu41EywWm+XtrJn35hK+Uy7HaP0Xvkq6JpCwWWUj1Uq6r+tjoNrsvUlPQAxHVJ1abZM6zqQRVcXE2vsRbGxpTirtVgbIxe/wSep8LluZyJoGiwG2HIdEVKqFxX1Zta4ammmzJ7kY0F0KxKJhen9z8rZmlSDmDWol1z6nnWb63QjG0Dum6El4jis0Ry+nzJ4bUnzu3Pn22C/9mCXABWHYeOjgSQkDm1KDPsF9bdrZRnR4d50WFoFZnaP1D/1m59GCoEn8kiy4jlcC1FqAXBhBh18klJY2yPt2L2psmiNZqhYzb48zZgrI1eS3UbAwyoeL5KUut8odYnuK7Mups0oBNdN2dYpfTJsllTe+h5Cvm5pRUpxHzetBOJKbM1RrtHpT0x0zfQ900Nm22QdncThUYtI0LnxQ2oR70LHXLV89eeX9DhZNvg0Z/FNgHrvp/LcaFyhLXYVi46OjvlKAXusVM3QPSBMhRdV4yKapUoWTY7C9Wq+bNcVvnwLVuinG2pZBzz2VmEX7VYxPMkh8Yjj8AVV9DY91qCwNRny4XyeXjNazh8WG7lqquQGNw//qNot3ye1nt/kT/7dJKpKYkYvOUtsMc7ZpQQ+/aZ4E0zu1Xu6wtf0ORC3HcfzCxmIstJEbzqecikW5GmV2wkMfn3PEHS+D5dyVVzGg1kiwFD9H8q7dAgFaGwZ2ehUokYU3QyOwhIhXWcoGGiCwYHoDpV6/k17866xvy8fGT2I7Xf6P6evk9k6NkLQm0EZm1AbE2ZYVuV1jn0P/UaitH2Wd8/b8sS1luwa3l07WjOCx17yUNROTm0jIsdhiIzzdCJKR8dItDHRAml+Oli3oO1+a23ebTtxfKydaxBCZhmdNKxz5abpB4kJVauJFRvUFo5d3URCZM6uVqDUehDmYbnzkXt75Jhw4QNG4ETv9+W5aErBeX7EfQb15VNZWwMSiV8XxzJp55SSDp7gSuAiN4Mmm4qKvVQz7m4aNa8eLBBIOUa5RPkcuIxzwUp2W1U/EbPpw7rxlaZFQI6exbTcFaHrzQHpv7InGSNRav/oUFRtqWsw5/w3Cs9PdZbK+3fxYby7kx4qaNDjrI2MbPPOU7El6YmKZ2WXLZtEEW9ZCT8rXtNxsIjrmsoqGZm1FxXq+wqSO6Tyy+H7m5SU4+xd6/I1ic/ibAdeB685z38zUdPs3cv/O7v1nmgPADveIe80M9/Hudzf8WBA5gi7rEx+LuJXZKgA7jjDn529Dj79qlU8003wc03UyqJgrz+erU1aHTYwgLkcgY4avJMqilksShK/d57FZCsVpMGjhMT0GxSKskaAEzy2DaQWl5KbnR2llRtmlxO7RMvfCEUi1E+2srt63XUZu+dN4wB7nnGA+zrEWSzzvHZe40Jl0I8etK2Bsw9qLBmW/Al/pt1DNn1QF8/nB3PL2FcqPZuvUW71uK91AXe4TiKWmxVwoSWBlpakv9ihosV42qGjv3nujDbNR2VIIjrR32AAnQYgdY/tuLfrmshDhVtlkZ5JWunjdLSNS5zNYcnnlAKKAgMpZhet7Gi0qEhZjr6WVmRhX71sOTBWoO7OF4TGq3edFNyjuUyOMJCY9jf1XMYC1djxFUjuuVlMah7euTaDVIGoUcQMFdzOHlSPkqGjQhJohbayophaIs8U/WfFQWR+1Beh0PL1pnynSlkjNJyYajYRazQs6WL5dH0H1adkrGaLUUYU3gqX6Hv75I8qx/AuBh6uX3Y7bJMN6WVFSnyUHOlrf1KBZbDBIYpQcWhY/KujTSFPEn5p7nsMoHd12qIi7Z/vwhKpULfyjSjo3DddSIjjcE9/NmdKR4ed0RzSI8e7rxT2O8uvxz49V+n+Rd/Afv389Pv28rXvjZGT0+Gl79oBv6f/0dudMsWeOELGR+Xhggf/ahc/42j0/DWtxJ+7nOwdy+/dedObrtNTcZdd8Ff/AX5vOioyUnLWNJszlNTBmU9O0ukDHI5s5z27lVgLpBq8337QD36VVfJ+Rpeb9QiKAyhWpVa3VoNenqY8/oNFoCnn4bJSVxXHq2VzkS5RRW50FuJ6Tyg3p82JLU3Z9aA5zFdjcAjBmCn1mQQWHV2WggsL8+kZazvdATSeK4QK9khCExpkt1k1shrW47veevhwcUJpe3jLqXI9kLHdqAYJliNJtdKkGp5acuZRr+3Q8ttiSBbyblu20nUcTGwifpPW2Ym39YWENf7re9jFkgMPagW3cx8UnM4m40G1zVhkDZnzwirLrAGTKhSIzWzWYxCxXVZCjsMUE7v/LrcoKMDEfAtW6SQ3UvR2RkxbWzYoBaKZpEmgvib+7EWZd13Yvccy6uxxucqRmkDS9oZ3vW86mLo9ndhv0tT2Gsl7Nte53m/MR5WGNUdPpe1eBcalxTxSCRYtebEjI6OmOHnutYepOPB7WFyiIwgZW3oovVajcjQ0RaeMjAWFqKeeqq3qPxA4fanpkR29u9HUJYAN94oRNSsyOe6W8LGjYaXNgzFq1pdrYscqzY8rmrfoUFUALzoRZDNms4e2nkjnZZwqUIqa87dvi2tyMorFAhDOcXgIAakZmo5iHBPdrG+kS9741ApjvaogAG20DJhVB061SnTdJooOWalYExT1zY5TyTkN5m02ictPthY257zEtsXDt8HgdpHbGtI5QeBGKjMHrGpeL6AVvS4mPd2oWT7Wr+5VMs24ThK4alEvU17b42ODnUdKw6tPa2Y9QPnuXOxF2lREBilpX9z7hxUKmzcGFnRdmhOW3LGu9EnT6cFvqvru5Q709MT/VRHK5uuqheqVnXjBbldvWBcN3a/Ttg0YVYt72aBZbMkkxZJrbLgdPjQdHBWC+e8UJ89LPCN7yuL2U46qA3LTh+YnKW6hp5L4xlbYRAdeevsJDI7rUL37m4Jt5mi9bb8nutainiN/F/s3beHOtUf+vnXieb8H49LAXBdqtdnnleHNNXQ955OQwcr0R9a0LCCJDq2HQRQKFDPDjA1JXv/DSN1iSuGocDoD7yexypbTS3a4CBkSo9x443qXDffDAcPMucnyeVE2WVKj8HyMklP+g4uL88DNbknXUCqC1DRenWejRszHDyIIDEvu0zaB42OUigI495AVujveNe7qFYluvkTPyGnrbu9ck7VvkfxmfPgQ45898gjcP/9JgRYrar61Gw2hvA1Ck+trU2bVDmEVo46ga48M4OeVIl9Y4Dpl6UYl1o4OLW5aE1a3587J3+upVxADBiTw1ZGs66r6+igLQHI2qFJtbY0/iC2leowizq/Su2yuBhtE+0hsRggxr7X8z/64RoXqqNrz8/Zx1/Ik2tXmudtBq7LxDPP8K1vfZWOjkbUSsfzoFYzuWYtvMdLTmQCVqs45ROmoNkoJ+1GLC6yeXOUuC6XiXjk1EvdtImoyFw3iwPzO9OKRmOdVaX1hg1i4RqhDYK4MlrD0taADNfFsCjofT8IkOJg9UeGOr2eFI6fqCQ5Xs3g+zCQb9LrnzC484abYWEhijrq+jZt1Jv6KasYP+M1SSEUYDos286yksupxa9BACqfYBuk53nW6rFi0Gb1uc0oY6xN/b3vGwdzaSnqw6cnNOW1opxT23ltxWZCmpYcxjYWVwAusbDrv/K4WF7b931IJHhycpJsVm2oW7YI08rSkik/0c+06nRECR7VJiqXi8pGY8w5vk/GFbqrWg1O1DKSUAtDoc+afMyEB0slBWoZHGRx0Qq5K4smm5VG31Qqonh+7ue45x4Q6vfrJS2nC2tf9SphYhkcJAigp6eHoaG2+k3t7aPa8IQZEcBq1fSEPHtWnMlymYhbrVQiDCVFffasxV2rQprCdwup2jTGFSwWWQo7og2+VsOpzUV7iMVGpCMbmgUpCBDtUK2Sy1ktwZShGYbSPYVqleVluWQrnTHIue5uYr0fjSuYzRrPz5Q2tBl0nZ3EIxva+wvDeEmE+k4fqqNFTtiMDE11Xp2a0B6n2QvajvE8nt85vLU+a1eG7d9fLF/XrjhdF5nJri4SjQX6+wOhFHr72+Xzw4fZuzeKAHZ2Ko4/TYUQhjA2xvCwyFOpZKG4OjthYYG+pRMUClHajKEheYNqh+zrnDNMLNPVZKQQkXNmPMmfGdNLaeCeHsmBmWdQwhGGxFAFetNN0qRvi/y7XFb3kU6Tqk2zqyjsCpOTcMLvlYurNkDJoM6RI1KqVCohK/vwYdN5WYemNPJct252Jh4zbBpfvz/Jgyf7mXO3yoo+dAgOHcKZOkZHh/x2chIeLm/lsdoAdd9hd+40O8Njch1LMWn8iqIfZGY+GVnC1SqZ4DR93dLGB5D3oCxfK80U4w8klKJwvQlUKmLYNNO9Jhyqw7C96WYUglMm+vx8dKpG4ESbp0K4aQ8Z5P/OnbNyKM/RWE+preXd2UCaVkvKX/70T/6EgwcFY8G7301m40aYmOBlLzNlbeRyqhh5dFS8oR074B//kVtugWuvFVE5WuunWdyFabo2Ps7Bg3L4t74Fc0Mvx1RZq8iC7uNbrcKxcorvfEdt0F/4Apw6ZZzCG29EBDMI4NZb+YmfOA18lh//8Qw3/ObL+P7JkwSlErziFTTe/ov85b39fPjDMD//zzz+OOzkOJX3vY+/u+8+uOMOvjqW4Sd/ss6tt6p1rhZuf+0omfFvsotjBtDS/Km3yh5wxx3s5Dj33iukLp+6KyWJxfFxfrTwGG8bPcbOygOQy/Hg8tUcK9wAg4N0LUtrsUoFmZtqlZePNKVMQpd55HLM5XdTH3opk5PisIYhMumHDrHbOx6FX4eGeHgqI2tUcf12d0cOFd3dcO4cmXDO2POVCjQLO2nkdzIz65jceK9bj+4hCEj6c2aJzYUZGvmdsja0UlZlVCZ8ms1S952YbozJnLaEfd/4Brpm0ES79LVVAXsYYlmyWpafJ6O9QHa98OSFQqBrHdc+wlD9z9ISbNjA6dObJPZ/xx3iehw4wNiYHKtj6KOjyO68uChveGSE8XE5xdAQ9C0cjyD2uRzN/IBhDNeFtIShsazm6NW6g373tCloP3tWATo04XSzGYUPPI/5+cjx05LiIJx6TZLG4qv7qomnqofSzhJhCMUiJ8J+6kGSjD/N7uw0A4UWjfRWmvtukF2pVuONB1vceKNsQEfZjYkxjY2xO3fagNamppDfjIzA4CDpNLx8pMkNow2uvVbmsZ7bKfEhxdXUt7HB8HDU7Ny8Fz3pVmil4WZMsX2xKPuKyZsUizQLOwVODpFGXFmhHqaYmoo6Uw/kGoZ5gmxW2qYEKQP6scspmkRAE9e1bk5ZsU1pJqVPQ8pV4dC08Ak2SUbcnaGgRXWz3udirBcVWS89YB8XhrBlSy8sLfG6m27i7rvVPHziE5w+dw6KRQ4dgscfjzict29HwpJPPCEx6P37uesueOghmcfdHCU58bDM9bZtMDysCUzYvx967/0beTF9fTA4yKFDcu6rB+vs2xehHJNui+bnP0/r1lsJQ/i//+9/5sUvln5B/61UovSCF5BIbAX+F1/60u3w3vdyGrgfYGaGSkVE801vAlggCL5MPbeTOaAOcM01fPGLAN3ceivcwNfhyBEe83fye1/azcyLXwmlErtzp7niCgUMKxTgx36MVnEn+/YJWHR0VE343r084O/hq6VdIlSf/CTXdUvzY3I5VjekozymZl4KQyF1zg7IZlGr0TvxTTITD5BOW/Wy+TyMjjKzYSeeB6mJbyvyT5nXem4ngFFuvWm1d7zwhRyr9vL44yK+/eEJkhMPk/JPs7Ii8z47q0qQqlWzV00HvTzyiHzU69ZJTT5Msnw8tu5iTZXLZTKelDLofcr2Vu1co/Yc9b5kcpLKYNfrz3U5D3K6RkT2h3+sFcpsH2t5fpcMCghDrt61i9Tul+D7SVngHR2webNpCWOne3I5Itr87duhWDQhl2IR08dJhwa1Jd/XJ+FAajX5I5eTxqNl+T6bJQbPj8XXPU9axFgACYiwIJSCeC0M4mlo/Wg8jHSa5WVdPB/QdFMGSZbxa8aqC3M7efxx2LJlKztzdZiaYk8uzdCQsGAcrfWTH+mnlzkol0kvn2X4FS2mKw4zy72seL0EFZmrTHkKnn4aZ8cO3OIeRefkUChsxQka0gqEFpmwxp6CTMTMrMOJpa3kBreSCuYs1GOSnp54GkE2b8D3SSoFH7oZUoNpU9+VCecYHu41LZXqYYpMoRAxZoRRx3J7yjXhrZvOGM8s7Fa/VYKRpMmWLRavplbW7QkSKw64Xv7kBzHWq6/TZTrt37Ubk+l0GhyHa0dGNPYCyi45gL17qU6II6cwICQWGxEi6tprJWx4RHTbFVcgMqXdA9el6WVwXVk6Gzdi6MR43es4XnIifswgwCmVeP2BISYmkvzvQw4/+mu/BpOT3HQTvOtdr2BiAlp3fIr/8hd/QQC0whaJjo8Bp/jvtWu5YcRn+IknYGKCneHvw9AQt976eiqV13LXXULL+XdnzrD7Fa+ASoWPveGrvPe9r6VWg+nBG+jPt8hV5D7/8R/hZw+MwOHD9Okk48GDzMw6zEyIMn398HF0gvJhfxdHjsjnmkWGQOrk8NK6Z6vaMwLpEximJKqjACN1t5fM4CBMTPDK0TqnfiQjymP/fvB905IL5RXpFMjiImQUBVs+L3Op0yGbFPNROk0Uts9myYbySE8/Le81qUiuCaSR7LZtVn5NhzNV1CUJpNOZKJ2CGOr2YeBG6Ga1mTZDR8lcLKIcDWtPc8KmKZfR43mj8C4GOLkUlKa9wC92vtVmk5WVRAQ8UZRANsJIb7Kui2FDIQxpho7Q+2DB3a3EtGaFT6clb+RojzIISKbThKGlmC0WAlsRpsJAPDwr2buyIpRkYQg7NeFytUoynRZQCnKvi4vipSSVIPb0KKg/UVgtlwNK4v7UczuZmJDr7kyfhrFx8WSKuzh8WG5xZAR6K0flwZRZ9sCYtN+58UZIjn9bbfA5Q/9+dNJh8l75c/dQS8z2SgVncFCsxFw/R46YyBajo4pq7YknxLgoFEiqTUFXOWzZEs/DtJB+d05tDspVBZEUBFulIkxTnZ3iFWc6wzhxpmVp6sUXhgoA5Mu+rL+nXIkQg/k8vmJ+EZ2WBJIQCM1SMgwgCC1gTcZmbPqBj/VC/Wt9t+bxLaFwcjo7DdaE+XnqQPbkSdLpyHkGeOXLVNuq8XFx697zHuOJCO2VekEKhRmG0e/DECm4q9XgK19h5+tex3+73WF4GF5fKEOtxmOTSe69V3JoHDpE/fHHydTm+OQnl4Ayzkfu4zbgRuCNeQfYAMzzy8Hv88nJSQ6NjfHBbdt4+Mb/xJEjcM8t8KUv3Ql8n3e+8zf5+ubNfBN4P/CnR17Lb/7mUd7+9t186pZvwpEan554PR/+sApxvuIVInSf/jQPlAfIh7JG+vJCGv/Z+3cCOzkwAlenp7n6nVl52K98BTZupL7/9Rw5IoZAIhGR0NxQAO65h8z27WRe9SpOlCXaUCwikYhcjv91OMNf/ZUQaXP33VCtsvODH1T8nEAux5Ej4uENDyN1FIODnNu8m9SWtJH1s14/Z85Y51bKcHJC0KuplMqNfu1r8tDbtuHevIupKVE8w8NbSeq4o9qLml4Gv6r6TB6ZEBDOvq1MTUUBkV1FL1J4KuSVzOepu8LF29UV5fEagUNKKVM326uWWtJi4dCy+/+RcSFPb70837qJ+jCktbxMGCZoNqWGSCekndpcLF9k+lrphLVyj6pVCasbGh+LVNX+rRM0JEyg4mvN0GFqSkJE1SoxxgkN6CqVFIHs6mrU486XnmFnzlhKVmvkWo0kTYPIXFpSzAXKw7Ofr7NT1sX4uHquI0fIVI6RTqv82OpWk6tM+nNs2mTlBEA0yMmTZg4MX2Bb7RWTk+webKL7pR6bckRrjoyYPEly4mFePiydnfX+SbGI6T6pkncZt0GxiPH0TMzfmmsTY9Ws17Wa8XyDQK2bNjdrcVGUWpImTm3OhCY1lZbu2GC8ZWvOdR5CR181xVvdd8T4sOCtTtg0pUjPxbhYrvtiY2VlBVotOjo6OHduxRADBGBC4kHQRiqwuCh/fO97RjZtQnVOnkTvfqWS/FmpKGTz5KR0k1W1fB0dUv52LH011GrsqXyVD35QGfu/+7tk/q//C2o1fumXttHZeS285z28FDiB3MK11/YAHbzynv9EH+L8fPuLX+TqU19m0yY9768AcrzvfXDD299OETgO/Je3HOeyy3aLfFer8PGPc+AAzM8/KojOW2+VE0xN8fLRluSYx8ZgYoK+zjlAIouHDiERHDfFtLdTKtYrFTJf+BQ35I/SlzjN0lI0h43CLgnxX3stuC4D2Tq7iw3xBp96Co4cIZuVS917L7Hu4rUaMjmlEvv3izL1fQzOYGlJOQgWOMt1Ze8wSLxaTQer6OxUecXLLxe3zsIGeJ4K5WrwkFrnOv82M+sYVLVTPU2hEIGsYycpFEwOI+M1yeUiSjFtbGo+XMevRwXvppZCxvPGw4OLe2UXs1bXC3Oed17XZdVxFHegE0UNt2yhlY0IjnWS16El5ogCl/i+fL95s65PC6OAdDpN17KFtgQ5sFg0dToa+yKhB9eESWtluUwupzyWVivaONNpqJloRLTrqxvV3HfGarKYWKRrez8Zt0qvf4KRkQFRgqOjcsJKhT2DadLpfr73PVjI72HnoCjq63qqXHlwF48/Do9172bop3ZLLP/kSV5/Y4OmmxKwyNAQx0pJ5p+CK6/sJVU6ChMTvHx4kJnFjKL2QjxKbyuVChSGhNX96rzP0M0SOq37joR0VK6t6WXM4tm0yeqgoBZzf84zOTWU58hTT4Hn0ZtuUSw6hgNSe9JaBnrUwpT8pwB3PC96P9pBA85LOKbcJm6PeHkOLYXsFFICyfth4uI6J9EWnf6BDR3ZuNSynPbjVlStU4fqsr5xIwo8AGzbxuyscWyjaEdnZyTkKmyu5w7fF6/ICtV3doqt09c5By94gYT7RkY4EWxl40aB/wtJu7JoPKVcR3fAd74Dvi+AFWDmXIof/ZmfURbXNIVCPw899AqGhmDnj/0Er9fY/3/6J958oJtrP3QDmza9kCeffDc33gitX/8UtxSLxqo9dEjyYnxjEQ4eZHISenpews03I/f5i79octsEgdzo4CDHy0kKBfjt34a+J78J94cc8W7gvvvgNa/Zw9U3uWJdjo1BocBiRz+VivB2pu7/KgQBzcHdHDkC+bycy/XAUQCYV440+NVfTUkXo3weXvEKjlczlMswsLcIYUg6LYXs4r25wu7iIwXsgYRNjRECUVza9+nLp+nuTvLEE2p9uHkJnYahriiR5WJD1lXesTefJ8hK/ztdTtHMbiVdi3hTzXqza/C8VGxt6SWVTqvSIJVUN5G1NpTm80bhXciDu1SL9VLCN3p0eR6t1hIbNzryLnfsgELBtH3TqCYDWtiyRQR9eZnl5UiH5fNA2dolgR7E2MrlkJe9YwcMDQnsOTR7hGoN5MGOHTSzW6lNyHcD6TlZKEtLtAoDTE5CUJH7fslLFEjmiSfghS+k6WWMPOn1mM1Cxq/C5CSO65LN7qJahczQkKDialb+UNc1qJwWWFB7tUvrouDOTiWU2o0MAkhLfV89SBqQSLEIqakpMevDkM7Bl1IuQz7fSzoLVRW69TwkrOr7pIBCoV88gHQ/Xk7dXqhAISp0aGqKskkcxKVNqgVZD1MsLsJqssuEmPvyeeZqKsydzpjcH0GAq0KNEEdOO7RIujbfaxIs9oekkomk5+K6TnQCLM9afabboNiL+7kYl7pG1op4NJvCFduxusq2bR0i055Hr+fByAhn74psiTAkyg9dc4154Vu2RA489y1KjE25hdoWdF2h20oVixLWHB8nd2AnrivyNTkJu5XBks6p8HsQiAuVzRIW9nDXXXKePxwZwf/VXyV98828+d1f5+67PY4cgfIbX8TwnXeKkvmVX6H+B3/Azje8gevf9Hd8/OP38Y1veGSz1/IfpqbErcxm2fnBvSZe23rnv+ej+2B+foHt2zdIKOb734elJRoH3kjJ7TUk18qGFYNvcJBp+jl5H/zUT8FO/zGo+bIRqI2/9f0mhYJa9/lBk0IZHZVIUD0Q+e3TEMVqlS1bBkRGBwehVsP3rbZbs7MEQ1HKtFcBpICI5cHzKOSknEmXM6QMX1msxpyZcym2FHfilE+QSbfI550oh6ctnjA03IOeItEHwHVN2D6b1R0UQvOdfcziohjlKU/WStMVJZi01ofrqrWkGIAiOX+ejEsBnKwXorzQb9f8znVxFNzVQGsLBRgaMt6bBhXp3Luhftixg5UV8fx37FAKwKoZg1h9trw5JeUaPGLVehuon7bCNm8mgsC3Wu2RVOG+K5dN3xob2qvxLx0dGOQU5TKuK/88VoraAsVaHrkurcIAR46Ing0CTKkBExP0eg2CQA5/8BFVRqEKlJKlY7S8lDlVV5cC1XR0mNqiXrdOPh91eimXxVtzxh+Wgl1V31CpRGQW8/MqVEjE5xkEEfGC9qr0+9Tk1J2dkAgtziJ1jOEO1Qk7q9ZIhxu1stMGgEPLpCAs1rHouuqYmFxauGwbbWYAMf/GY63898rKCjgOHV1d0Ya8ZYuAUnI5A7JTBP4yNHpKoSGyWfk+k25FRVgQ2whNHvPRR+Ezn4FqlbEx0Tum7c/998Pv/R6v3FsXOSoUpPj8llsol2V9DA8D99zDOMDiIp/4BKyuPmTQsC1XIZYXFpgGmJhQIfl/Bh6Wd/iZzzClaXY8T27uqqv49KdF3F71qg3S4dyCE547J9dP+nPM+UnGxlQIV8UpNdAjmyXyitT/Nwq7qNdlHncNtoxMO6FiSvK8OBnFhg2QyxnbQrcf0+BOXBeWloy9GgRyTR0+t8MTrhs1g/E8jDBrY6zDWSWdjjWMiZFOABHpgvpOH2hKoogAledx92qXTl4XCwuW4eT7EenDJViFzxuFB+d3N4eL041dTFGuafmGIY3FRcIwjLgD5+dN8bSq8YwDDayElRawIFAlBK4buVfqe12nBpgdc+NGsVqCICJo1nmn/px05z57FpqDu2VVd3bSm26yd29EfjvnK4WjFpPOI+ka9aEhpXAUjJnRUYJAIjK7vBMM5KTQ/v77EXNcFek5peOGpWF5mQhzrzS+/rOnRz3Thg3GxXVoacpMNm5Uz6UPVIKvN35tN3R3q5Nq+J+qx9LKxyLwiOXN7HcY+wFR2g+IuWzLy21tldR/dho0di31R4sI9WrQr7RiC14rWqMorUX+XHt19rgk+jDrWHskEiuwukrH6irnzqn3t7xsDC8NOjGtZyAScCX3On88M+tEfRzVJqmRiZs2WVyar3oVqH+OjFgRkRe/GN78Zh58IiPX+cY34CMfgS99iUoFJicf4uMfB9JpqkBjbEzKipjnW9+Sl+yUjsvNDA2RB+jokPIgXgJsEGeuWMQDCENmzqXQxXa/8JYGr361GGaf/jSy8EolQWouHGdmBtPstVCAfqZNrrJSifg3gSipqfYETcnWDJ244FlCcvYsUQFwELB5s8wbYI7zfdAbVZKm2W90+NCQy6ucm353EM9H68uutBIm+pjypOSn5aU4dy6uAI3Vp9ZVu3zrdNvCAqYBcjtSS6fnl5dVsblasGsBnIHnH0pzvVCMjbi80O8uFZUZG67L46USzM2x56obGRuDXdu2wRNPMJCt09mZMaED3xfPaFehgM6+D+yfY9OmXgM+2qkTysqrGhgpMJUWROWJYoYBhahMFZtQ88l4Hq6b4tQpGLh20AhTPt8bURPmcjA3R8sVSqVkKPmy+XloFXfiKLN7qSJ6ozet4t9+CKShUKBVGDCou4zXlIVZq1Eo7KFSUVD9kRH5XS7HizbI5pP05yCbY27f60WokXXvukhSvVSFTIaZvj2UFEvTQHqOgf1p6kEygj+rauUTZQmN9KfrEIbMIXOX0QX36bTpd7dpk6qzM+aoJ21e3CSLqqNBb7YFpbLxTHUYujerfreyYhTeeTJkKUqtL/XHgM4G0nKTxmCxSGwszShyFCgF4Kad6ErqGkIA4BjDyU2nLk0+/wXjUsp39HHtx546dQoSCb7wN3/DysoITzwBdHcTzM7iPf44udwe5ufFJjx7FvZcsRHTjXhyEiYn6eiQvOyTT0Lfjh1yYpUr6vUaFAopU5tqrKNikVRtmt+/Pc/xksxTa/THcK68kplxVcM6NiNCee21DCfgwIFr+fEfBza9mYMKIrx3L1x22WsZHYXN6SX43N9LyHTvXrIf/CDH8q/k0B3whje8juFh+K0P1uErWQo7dsBb3sLv/A5Uqw6fvWMUbr2Vj73hADt2vJaTJ6VIvnf/lLh2hQIF32CulHhmTdhShzh9HxgpRlrG88ikpb2WidApo6lBimoFBgot+vMtIT/I9ZNUhmZnpwJcuSFMTfHiV+zhySeR+VPKRKdIcKUEJAwgpUNDnkfg9po1Qo4Y8AREESfdFkkvhErV1PeurDiqx2DWPEfEjaZLKRxBonseLlEmxPchE0GfzTO7XtIm4cF1U7hY7YGUMo1FcKzxQ6/w1vPk1mOMWOuzZ6P05F258paXl9mwoYNTpxABKpehVGL79j0GDWhCYVnl0i8sQKlEd3dvVBSaI279EBGvmDCajj2qEYbKEsKRsgXLEgpDJC+FhMFcLwWuRxhY3ysvIp1ORiAOO0EcBDhANitw53qQJKNQB3qBZNItSOdNbUxfuiUbWBDQHL6a8XE51eAg7MzOweSUUY7LG7J897vWI5ergqhUdTxa4czMOqa4W7tJnu2FFQo0SeIBuwoNdYwn/fFqSonVajieR2dnRmrqfEeuo0KK2awGiqgFYjXO1R95nnreahDz4sJQau00HVSvuk+HFq7rmN8b/k79rlyhDNPlmfp5Wjg4eqEDIVHub431+68+2tebiE0WOjo4fPgwQ0MKzTcygvetb8HMDINDmCLjM2egvtAh7Wp0S5Hxca688pV873tKxAdzcSuhWiWbHTBd0wd25MWFAhgcpIWje6uqPsQDpKes8OnoKHO5XRQK8N73qsYDX1iQephbb+Wum8W2+sVfRELkjz4qSmh4GPbuZeLeKHq/bx9w+DC18XFSQFKF0stleHgyxdV794Lv8+pXC5DU96FXJy9rNXrVS5ymn6eegh07UuQGd4v3OyX8Cs7EY3DEh+Fh5kKpQcxUT7NlQ4NdexUuY98NAISBrnsUA27Dhn65pgq3+L6KuFyZhaefpq+7zspgxoA7ZuaTLC4q46BchUKGahUGCgWz31gpOzFIFTBPhywTrRWJZpCUfUXtVblcbyQ4irkopcuhVBoBbG7biOZPlJpnaMi01Zd0XZJpMUStQAmu65BJu7G15bjuc9stIZFIHEwkEp9MJBJ/nUgkXptIJF6fSCQ+mkgk/iiRSHiJRKI/kUj8VSKR+MtEIvEq9ZtfVcd8IpFo8z/VaLXEbQ4Cced1GMj+T3++3vdrHWMfq0czjEKda/07DFEna9J0PE6d2sT11wMf/zgEASeye3jwQTmX74uzIMJUlp0xn2eueLVhbt++HdkNdGgtl+NETYROp++o1WRj14wgVrzeCRrgujSyguDq7LSsnc5OU1+H7xMEYmHreH3TTcXLJpSAN72MhAtcV+tw2XsmJ6FSYWJCoM5134HDh0lOPEylAn/9eYdj7m5Ip0mOf5sbRqUcoFyWMM6x7EslNjo5SefUE4yOitN4990wl9tlEJ+GBZ+2lj4WOMbzkONKJZJhg1IJHptSBNdjY2RKj5FOq3s0PEOWXWC1MdG0XYaZXTW+xPMol8XYDwLiYRnMq7BZ36IXHwTG2PF9olyETqKo93HmTJwaSbdm0n8n3Zads7/ksbIiz16ryf/rf6/131zNWfe/9X5T92U9+D40m65hHvrSlwLJ737+8zSDAIaHuf9+qyQByGxcFaGYmpLwwk03ceSIpG31WqmTMX0NG7kBJibk9z096t0VizA0RNNNMTsbz1MHQUROpGX2nnukhd2dd0Jv9ZiUC3zhCxwvOXzhC/Ctb31fWvwMDcF99zH1278N//k/881xoQ772tee5kUvUqwoHR1kN26UzXN8nM2b4VvfWuYLX0CE9cgRenqiNDaDg1E+zkJ5LC0JLktXDpVKolhbw3vk+GqV3nRTuDY9j1ozxRe/KLpey9riItGeVKlELQSVQOZyEvUnDCVX4br055pyY6qf3Y4das+wUgfm/ag0DURGrlOZNjR8tZoYMJOTSo4rFQHEqVC2kX11C7YjEoZWb8tazZT1aJ7dmNOitataPzqfrSnG2in6HL8u530uUZqrq6t3A3cnEoke4A+BfuBRoL66uhokEol3ALcD3wXuTCQS/wxcvbq6+tZEIvE+YB9wnz5fIpH4EeBHbrjhtczOVgmCCUAWxnptd/4lo6NDrIowlPN2dck8LS/H/93ZKf92HCjs3MmG/iKXXTZHvT7BxC23QG8vZ56eMMar78tm+PjjsGFlBfr7BUhydIKeHnEkjh2D2e6A1aUmCVZhaYn5mQmWlyV88dhjkO3ogPl5grkJPAKWnznN7Kzc0yNPQueiT3B0gvl5qTXv6pJ7nKufY+GRCZJJ6Gwt4S93SaPTOUhvWGWhkaDRgHodvI5lcByWWx00m0LS4roSdVpZERnuSibBcZieniCRkBKqzmYTmk1OTEywsiLnnvAr0NGB/9hxnnkGGo3onpqnzkCzSXXjRma+NaH5sjl2DNJOQybYdcU4qNdZ3TAnXtm8OrnjwJkzLIcJOv159APNL6dptWBivC433WhIyxoSJGpqYnI56gsdghhd8uVcS0v4Cwk6O2F2ehmWlqj6PhMnT0rx9FIXi4tyurmZ5aiQdW4Oup5hlQTNpnzc0QFzsyvyx5kz+AsJA4RJpSDRXJITLSxAdzfLZxvU63Kq+XlJ/q+q7huJlmrtlExK/zhg+pnVdSQ4GnrNXH/9K/ne9yaMvD4XQ+vw6ekyC47DhtVV3v72YwwMOEwcPEh49ixuGFIoiAwmEiJL1TNnmAhDQWi89KVQqbBjR4P+fpHFiXPnqD0maz27NA9Hj7Bxo+SbT52CprMgk/3kkxCGrLqdNJRz//TTckxfHzSXVpnYvh22b6fRmGBkZIUdOzqYmDrB4k03kQC8+e9w880O8H3gLNWlJcZf9zqmgUVgdXWCt7+9Bfjk8wucOAGZ7Rl4xztonj1LcnaW66+X53vRi2DC8+Cqq/jeExMUCpJzmjgq62H1+ydEBubnIZWiqyvD/DxmLYM81tHHVxRfV1M0Ync3dHSwuHiOjRsnaDZlX9AG0OzpVRGiMIRHH5E1pH7faEzj+zBxmQCLeOIJeQmKQWL1yWNUq3J4x7kaK/N1WVKOLzffbLL83Qnm5uTdzM0sG5jkMp2srMDCQpWlpQnqdUgvnhGBP3WKMyo/OPGoJMGXEqI5u5bFwls6JWt7dsOKrPfTp1lYkfes6QD1mtB7I01lEKrrN5uyT7ZU5VdXcvWCoZDnKqR5K/BJ4MOrq6v/KZFI/GIikbgBKAAnV1dXW8qZ2wzoXtHfV9+bsbq6+g/AP3zgA//xA/m+zey+Yvi83NvFcnX6mLXGpeT42kczdEiGDXIrK3Rlt3L06FZe9aphhj/5SSgWOfYLt3PXXQL/LxTEYrv8csiMf9NIduN1P8mJExIqeMlLIFM5FoPsNvcMMzYmCnPPHsiMfVU2h8FBsboKBRYXxXO7avtpmKrD1bs5OulESDffZyJcYvdVw2IN+T51b6uB/TvlE3BFgeMlKavodeuRoCiKM1yXBxsZzp6Fa65swqPfht5e5rYOEwRw1eYTcLIJe/Zw7FAKz4PRnafh0MNiDr74xTyW6ucrXxHPcmQEdn7h9+Gee5h43/v49plhvvxleP/7YbT5zYjFXtX6NPMD3HuvGHWvfjX0nf2mLIyrrmJmMSOI02qVerqf735F1vG/e1NTXMZkkvoLriQMobfrGAQBc4U9TKtI2IuGIUNdvGME1pwJ52BqiokwZHjLFhrF3YyPy/rduhV2Fltx5IVC3zVCydd1dMgeYechQMGsacjzLSzIxvPCF3I8HGB2Vl59sajem7J2NZS7md1qclemmPYCQ6+Zt73tbR+46iW7Y2H69eT92RSat9eqNkOHzZuzbFhd5Y9/7/e4bv8e8nkY/tu/pX7yJJmbb+ZTU8MmJev7kNv0CMOOI398+9tw9dU81vVyJiZE/w3vSNIo7BIAxD3H4bLLOOoPMD8vTspujspvNRojnabh9SpqO5nPs2dh+AV1qcG76ir++z3DnDoFv/7rsOujfyZglte9juM913DvvXDypA+8iP/41llO/MVf8G3gBuBt/qf4/Of/BNjGj//4y3nf+6D/L36HyY98hDpwdT7Pf518B1/84sO85jVX844PNYQc/taf4JtjSbW+k1Gi7O67Rem897385T0SGty7VxTe0pJEUXvLj8Hx4yIHg4Nw8CBfP+wwPz9BNjvM/v2QnDoKhQJzYUbo+mZnYds2prO7AejfcgIKBb79mHjpN90EqbGvR20PVDSn/oJhjh4Vg+y6lzZphFK607d0QsIPW7cy0zfMuXNirw94p8H3aRZ2GlYUz5tg+/ZhWR9f+YqOK3M0O0y5DP0vkNSCLu/pDVSTWsWClPGahh1GR7d0LV7Ka0XhE732VN3XdDWpo6MG6J6iEV+fbWGRH3RIM5FIJH4P+ApwBATVC8wDG4EyUEgkEvq6Z5AMFsCA+v6SxnqLuJ3gdq3c3oXIoi+FWFq+k07PjhOH3mqLvqurba4tjK79uesSQXYV4jJJk2pVZGBxkYiJxSrIMmkkfTKF5FpcVHOi3FXN7Ug66vtmh83Mbel70P/pa6LWhoZUqRze4KD67MYbOV5JsX27sChRrZoyCqamGByUPed3f3dF0Gd/9Eccue8+qFa580742tceF8Tn5KTUS5nYSOToTU5KWsVQ7R85Ql933cA2FxeV51BVKFQw/f9MTWC1Sq/XMDRXU1OK8JYoikkYStG5amWgGVM0aGSu5kR5ThUO1c0oczkFlkHem4rqRO/Y902OV2gpMLkf3XQ6Vpqg4jR62tdotfgDGxcq11mLQBrWV5I2wbUDRlY1mMp1MdRtRoPPzpo0dbUKpKU3oqHhUecwCFqLZ1Nv3im3aRDTqbDOpk2qXc++fTA4SLEIv/RLsKvyTZHPD34Qbr6ZDRt0M/EssACuS5VofOlLAA8BwujT755WSUo1wlC957L8v+9LuLBS4dQpFca1H65alRi56+poawwnZZq5WgxKYMrm8H0FClMbv9DWlQ2bhWEuUjFPbT+ZsKfO0SvhVtUXPPMMBvjV2UmEGbDOY86rULW1mqybRMJKOehGn1aOW6eiYohN9cfiIrE97LyhQWJ2/UQY0nKTcRS8Po2Vdmh5KRMdicnkD3D8EkJR9ybgF4BvJhKJP1afHQL+HPhPwB3AHaurq03gYXXMlSii8ksZlwpKaVda7cTS6ynOi1EtdZgGsGp0dprV7rprMNvrl2rVvpj3q79TAtYIk0Y5dXYSIV8UtKsRRjyMdpLSLnOJwQdjFyP6HCslZa2Muu8YWowdO6z+esh5H3lEQadLJfjiFykW5Z9PPqmeRbedHh2lVBLyhZ/6qQ7ZED7wAQYAjh/n138dYCdf/CI0bv73okUnJ0Xp+D5O0ODyy1VeB2gUdwvNhOYSU4mdLVsiHVurYSiSHKQThKmXqFYNuUc+r/hBPekbNjMDjfRWgYx2dsL8PP3pukm/mM1a04EUi7Hu77pgPBXWKRTE01hcjFKSdg8xOjqgUmFoSE6jPcIgUFBrq5zDCRomT6jpx37Q40Lcsu3jUoBdpoQODPxc00CZoXd3leg2uU6IZE1/6Lpm/3VdYuAtA1JQhofnybk1rRvlMjzyCLmcpBbmhl8pcvbkk/CNb9DX01SX6wY2QCaDEjcaSI9XuBrYRhgi7aquuYatQAagWuXAAYBt0XtW63hmRgwfwlAVCYJ56UGgMTEGmTkxIXJIOi3JfQ3znpxkaMjqdKNy/fqZbePB89RxyiPavFkOqVaJ5ErnEcMQpzZnqpTsbcYIHVFvuSDA5CIz6RaFgmnFyalTqlWZNkaCwMAStKNljDadhPe8KDWlFpgGrJgCeAVAMSUIFhhv06bIZjJbnM6Tuq7UKLapiR+owltdXf3vq6ur16yurr5ndXX14+rvX1ldXf2F1dXVpdXV1enV1dW3qb+/rn7zh+qY96yurl48SXGBcaGQzXqLV39/od+sd97zbnd5ud0QASzLA6Cry0IWqd/pg1UVuzZczfvt7o4ENQzjG4feKdeyjmz3Mwjo6LBq/wB8PyZYNkJUDy2s01UVlnn6aa68UnVBH3k5dHbiHP46+/eL0D8WKI6/ahXGxoyu0e18GB1l6xveANu3c+ON8Gu/toEf/3HFg3nLLfJb3dWyXDZM+MZby+epe1upp/vlw3IZZ/KoOSYMiXqGqNF0U4bnSBc45/PEwpOLi+JNGs25bRsEgYGKG05FbS5ns9TJmAabhnsQUaS6L692lhuhqn8cHBSEouvSm24aBhKNaQhDdb9aK3teVLP7rwzTvFSjsn2EIdDRIUda8mpACiCToqGt+bwR/xjtnZZ52jxcy/jTO7FDK0I912oUCgrgohZbtSqoyfFxdd5qFf7pn+Dzn1d1eB3AQzwy0cnVQArhyrz9doCbgIKpP239zFvpvf56sgBPPMHBg+B51wo9ly4adF0WF1XvPw1zDMNI6VSrDA/LuhjIN7Uoi4IcHJQ8yItfLM/3yCPcsK9plFc9kLWocVd2o+Rcznpu3zcgliDAGFytbG+0qKpV06pT18GFIRHDhdqPTMTKKiDXNpxuXWUaYatza5rDjNfE8esm3K8VtEZptnDMOXXE1VxPIZ5j61otlJ4eAf7p48FqCq3kooM42MPleTLW4sRcT2k9m5zeeseuJhK4rqObAsuKtDw844HpobWckqrzvHgr4aN/G7N0PE+1xVHehEaMGtcjiigYBatPpF5+J1YI0wqvSqF45B4macaSRrqDu3ahCgVZnJOTsOemm4QI93sP8OYf38uxcoqHazvJ79tJf3iC3tLD/MJbhjhakkLUmeIr6ftIEY4dwymf4PbbB4yBMO33Eg7eQC6HtPipVsnUTvDyvTkRZISma3FRIdqzO+kdzUO1ykC2Ttd1GXkFXrRR5vNqvvJ56kESv2a9FwWh3llMk8tpTlS1YwwOQjpNWJPFtHGjVXSr3mU6F/H6CagzSUpBo52wST4fZ0ppkcFRPcv0i9cGsefJ+ZO2cHheDEWc9P51l+uzIpFWAGvjCcTCDVEduYl8zM+L9lP1oLVJ+TidBipVnNocrWwvjqpR3bZNlMf8PLDRi9aTCu3NzMr7274dmKkS0s8jj8B1/+7fwcwM/+V9dR58IsM//iNUiq/kZz+YluawzzzDf3h/k0rlhdx77wtZWprA/ad/4j/9/M8rVuQH+Nu/fTmTk/KuymVBKL/2/e+n4Lqwbx/5vIRL9+4F3Wm2ntvJP/+zLKGmmyKpQ9nDw7Rufhvj4/KsA8ExGKswuu+VRlamKw654aul3U65LL8bG+OyHSl6+1X4O50yjZDr2V4ps7HQ20kllIODohR2D7XAT3OsLHRee3SpRC5H1hVbzKnN4WZ7xfDTCk+lacAKi1oj5TbpWg3Yebkid8r341x/PeTznC2p96lQ16m8C54LtdB4/toITymlHdSiXHgybBgPPplOg+vRKgwY2UzSYssWx8ybMK64NMIkrpeUdf9863i+nqJb6zP934VYJdq9wfWOHX/6aR599CFdjmcsHyvVFR/Wh7Z7b5SP3iBUaDKmEJX54tAy2jSmuNouZkKd2sOz7i1G96PGwoLF3mDHljwvssjNiSNavHRais8ZGpKVXS6zq9Agn9cLcUAl+8Tou/JK6NvYkB/29NDIDVCriaBm3AbZrDyqUfKansXzDIWSEzbjpQpWCKOnJ05W2wicaBKtOevosOZSFZebaQzDGP9eLDxtu97Wu7Rfn+3p2SO2T1g5Cfv1tdxkFKZSP4jJ07+yh3epY3V1FRIJwqWl6N11dppVc96acJx4zN/K95hH1CUa6od2riY2D+rfGjzb2SmfaaorLr9cNFEQcN21LUZHlZGhtePQEMfLwuO6aZM43xw5IjvuyAjk88bR1PlW4bAtywVVvnHzZrVs9u6FF7+YTDjHgQPSiWBiAgnFZ7Nw5AjO1DF8X6XnFHmCUz1t6gbDUG3eOoarET8dHebRHVom1GjLRiy0p4rDu7sxZTixiI7ymMLwAsZNGJJJt4QQHEypiF4z+oIprxXlWNPS5DiWstE32pZesUPdLZw4q5H+rfU77e3pfdm267UxusbyM+OHVuGtxZSi//9iyfW1QCntim4txQfWJtvVRWPuNAMDy3znO8Db3w65HDvTpxkdxWzevi+5A0Md7vskp46yY4e8qGoVWoUBWumMick5peMonmYJ/V92WRQn9Tyo1Qw5dd3baqgbdHrIgFI6OiJlrTYBbVHZdFqxRdAmlDrEoMOJ5HI4obTn2LDBUrqm022kDE3RfCC8eufOqRYeKraVcpssL0f0ajptYDwEndzSISwl2YuLUW06YEIYSZpiFYah8YzMovSExLqjw+oYok7ghM2416fLQdvCcTFlFoY4QcMs8nPnVLNXbQWH51ODmXXeFvO294AYQ4S1MYQhkTL8AY92o+5i3LL2964L3/9+GTo7+Z933GGi2Rw8iJfPQ6nEyEiUvvQ8WGh2iiGkuDaZmOC660T/2DlYE3qvVtk12GJoSDbDxuCeiIla5Z4HCi2dGoOhIU0dKTdz6BCMjzNdcbjrLtUuJ52WPN7jj5PNyu1cf716XzfdBG9+sxzzxBOmQaodkTQP77qcOyc4Fs9DLrpjB8drUnR9/fVwdfa4KJzRUXjLWyCX06x9Ubw/m42F5syzaSMLYGHBIF3rvhMztGyjVjqwiFdVrao9ROXkTbpPhfO10tDGruuK8dCeM9PRxKTbMnnvc+fUdVWiTKdkQYA1Ojeo56rlJuW8baQO9hrp7LTC17aSVBaPXazuBI34dpVO07IJqWNWkowfWoV3KShL+9i1wCvrKcV2JbrWMbrA6dSpE/LCNAIrnTZNGlUPUrGOtDS3g0WQUILjSyGnlkgNyPQ84i9OLQI7jaE39DBs80ZWV2P3rdFgZrjCE9nRYRWr6wWmJYk1vBPkutrqM3Fz1xVWk9qcyafVfYdmupcgkEhhChWmSCapB0mWliLrTBPXxnIFbcW6hKGxbCVM6NAI5D+jEHwhlNX6Uv9Dh9QWF9XCaUPOmrmycp/nWYtaUbV5W3pebcVpRT+Fesm1lJnaLPWpYtdv05RrXO4HOuzIx6Uea99bsfhCaLWYPnPGcCiYRqG5nEGS6/kwj6aRi11dnDmDaYqsF0fKaxkvZ2bWMViolNuMFfDjeczVnEjJlUoMDiqRyeel9qdYJJcTANXwsLqOQl3ooIZGy/LUUwIL9n3YsoVqNeKz9n3JVRsrsFqN91kMQzh5klxOdNz4uLqOEHlCrUYz3Rs1s52chFKJJuJlGgColrOYEEmIPJuVEpZY+t6SGfN3GEZ5UTXxhl9CG9faOLbkzXWV0ay0VyNwDGBTI8DT6agNFMjnsXSK55l9UE+OuZZ6rjZdZoZp4WULfVtExdb29hoVOj71h6WMo++f5+NCcGu4ON1Y+whDIAjoWl0ldJI0mzt5yUsQ/HIQcKKaMsKs1+PgICLYZ85IzVBxt2YCEmtRrzSV25mjl6kpEYRiEUMuq99sK9trqJqS/pyBuQeBIlVt9wTUqrDXTjum92KhOAPY8H1abpJqNYJUO0EjorrIZpkOeimXFTOD2yDpzxmEYctTAJKuLhMaTQaqHk7Vs8UWgN6J1CJqqhzesmpo4NAiFdZJ0SAMo5BL7FnWUF72gmq5yfi8KO1lf24Ukj6JKwS5dq2dNgDaNw9zLb3bW8n3mJVuT7j6sRM24174czwuRem1j76+zRCGvOMd72BiQm2wR47QVF0sFAWrobnqYklk5dQpmZPLLuPxxyU/l8sRlW4ouW4N7uI730G1iELKVzRLi0b9EKWd8P24YlpZEUaeygkDoqRQEJcyl8N1pVA9lxPCBVZWTK0XxaJZh6OjcrqZGSJwUxCQDOomgqFcXjLhHL4v0dFjpaTI8H33QblMuSxhzmoV46EmXQnV6foz3QFEt+jRghgEEfBHF6vrultoW9YqjL9hAzGj2BjJ6TQtNxnzqIwCbQPDaaNLRzBsBiCQtREDFtkGn6WMHVrmBrWo61q7MJRn0oT254VHVEgTItYs7MMsy9AsIz1J5j6fh6PdM1vP+7tQnd16yE49hgcGeMUr9rO6qsJfStsEQRTaioFOQFwpS+jO2+iUx6E3Qc+zNlnFRYfr4gQNYRWw22ikpelhZ6fFTdeyPAZie7X53dKSrO9YKE3fT/tQN6YvGcsfWImaWKjCsgBjSqXVilt3QdQF/LxrWqagAHbaWpGsERrUi9229vSG29lpPe8Fntn+2s5X2JO5hhG69t+2ZrMevP2ezxvWdZ4ViORZjPUiHxc63h5NRXfhpSIQD0EgTVvC0JQUhKEKJ68oZg0wgt7ZGTHhA7IZ5/tj3TSuuMLKvw0OMuf1C+LQ9+lNN6OGo7kclYoyQDSln+pPpL2OFsKyQ6VCvzdnIqRnzxIpGSsao1N2IyNCwcnsrLiKBw9ytJwhnZbwpUajzCwLwXmsZvXyy6FQMHo6l8No6brvGGXn0BIqQVUnarRYK1IqzVA8KhNqh5jXZAt/dzdrG70K3Yp6T+fJ3xrrOYnsLWY9W16U8cziP4+tGduw1sfq+0+6LTo7z28zZG84LaJUhVa6+pl1DtwstTA8z8M736T/IRtr5dna/92+gNdCbq7n8a23+BNEZQlmEXd2mhfleW1Qah1PW1nBdSM6M+OeZ7PGStNRPC3MjqUItfB0dlrKod3d13+oHJ5j4mbyVRgq8mh1cEcH8bySirc7YRgTKL0JaN1sWvj5mAWmBc70CfRFGc/OKkUTKMYRZaZWq0AuQyYtIUiz6VnWpdGs6n67uyMrtxk6gmwMAlJZ3d1AjtOnSKcdFS5Nmsc0v1NhHddNRkpJ5fDs+QxDcL2kENKuE2PUDlzKc40VjNdmTF0oPtmuMdW70If/S7yvZzOeraLTo6nonpJJqxZueVnmV4EidO4oCBBDrKcn6hUXBDGCYvJ5Gl6vtN9RUQPP6zdcmr0qfN6bbcXCmr6fZH4e+lwhRzh3DthSiDylWo39+3up1cCZOiZu28gID09lWFgQJbR9O3D0CcyDKHJoXUZ3002QKh0VL1T1qirkRRH6vjqgWKS7W9rwua6Ie/+BAwba3DsEVU/IsLODu0w6w6wnpZWS6TT4QSRY3d2cORNFRdKqAXEYKlSmGrYRamhpC66pjXNdjAXSCBzOnoW+La4xEs2zqwWg7GlcF9PZwF6etFpK2apGrKCulbRuKGqXlWwzFrXxqUEryi+QvUuHjrWH50rT5Pawevv/i3Lm+YfSXMs6XQ9w0j7WyuNdyOuzR6Kjg+XlVmRNbNhgFreO9+v/d11iebEwxHhWpsO1leCYn7eKcMHE73TCWBNCd3cTizW4rspPkTTWnQkhWOgl2wLUSsZoMatoE+IGlv7DPo/vI4AbpQw1kMMk311hRdcoOnvD18/pugghbE1Cnzo02fQycm6IMT+EYRR10nOiUZkmHKOu4bpKydZqOGEzNtV6QZsQsAbIKEMmDCOwwnmemLKO2z112+BoBJZXa4wON/a3Vqq2/DUCJX/WfNvHPFfjX6pQFxfF8nLVS0+nEcPO/BE5TK4LMeiv58XyfPk84PuRR6t221hURM1dCydWcwUqGq027s5O4pq2UsF1JbvQLO4SeZqYIJ+PTuM4yILYtw9uuYU5P8ktt0g93vCwVB0cc3eLt6ZuSqcrR0YQduojR5iYgM99Thy+/nwLHnrI0GmdQFpS7crXcT79KZic5IknJFJbqWAErR4kqaPkf2ICTp0yXSGOV0XZpdPWGsjlDPsJ1SpMTBjPtZXtNfNswGSuS8priadprRlTuO66kMsZxqB0OpJBrQSNxrVzdnB+Yi6UcGSS5nnhV12HF4Yy9T09lpGtL0Y0L0GAWSN6DVoBpvh4vii89YAp7cdcLESzXvjTPud5G4Hr0tnVBSxHKKSrrjKJcVXCZd55GBJJiMpd6d/FwBPqbWnD14Q0FUrDHEuEjo/HFq0RBLJx24oM61C1A533U6WgWm6EnDSWp3LdtDLOeFJO4NCKtXfPeE16euQW6mHKJNpNvznPg2TyfPixmixbeMOQCNmlFI0rxqqJimkNZhSgOp/25szvkfvYsEH9Tk2yWYh6rqzQsw2QiR2joNntIwyjjhv61cTAKvpZVf5kPSVq7s96Oc+1h3exsZ4RmVSk4ssLCyYaSLGIowqwt2+PQMphSAT91cka651qajEDfFGaUBeVG+/El55rTZK08v00vF7SadUzsVyOzqWMmFa+HwYHCUPVs/HIA5LkKxa57z5RgsvLRIXK587BkSP0Msf8vMGboHjcI5To2Bi73WMMDqryg7e8BQ4cwPelDGffPuSLhQXjaeqNvuFmzGZRLMI111gtjdTaXFxEJq9YNPDivj45ziCuIUZFB5jaIZUGxamehlIpqqkFybdXBAzU8lJiVPtzYgBbIXg7NdPCMUjIdg/P7Enq3IbXoT0VYL1zI1eWMrMNzFgjWMuIVVNEM4z6RTq0cPy66bqwlgb8oVV46yk3/d16/7WP9X53IdQnQKKzk9XV1aiORJmJml3AMjplrIE6MEXr+jsLuqnDns3QMVJkNnParF2iHNnCgjrAlhpL4ZkGseoiJixqCaX53hJC31df+L4R6qZud6p4+VpukhPVFCcq8nmqeoJM9TgZ6vg+PDbhcKy21YSX+mtH2TMkwjkdbuVopVcS/EjIyTnybZJTR3H8OvUwxXS4lZnlXlPE3LelFQEcgoBaTYp262GKRuAYG8O0ClHPYrxN7TUqIE7TU6UhjmM2nNhra1tAbVHgSMGFDRy/bjbxui+bRMtNyvtUX+jFqUNF+mJmsdOWlH+OxqV4jmutCz1WVoSJP+G6ETlKPi99aVyXLVvijFZ0dGAoQZQW1Ew22rAym2BHB02S5p0D0eJSlpc2Enxf8aNms5w7p+bt8cfhnntwqqd58JEkd9wh9ea4Lnz0o/Ce97B/v+BJfuM34IEHO6SW7stfFr7NO+6gb0uLUgm+9jX4q7+Cf/gHRG4+9jE5R7nM4cNwxx1wzO+HUonX7pN61FIJeVZFhHmimmJqSh4hVZuW+5ucpLNTmGCOHFGK0PdJVqelbtX3zQTqPL2WCTvygusaUgbt0WazoqDn3K2m5s8A5Wo1M+dhKF80071xL806xsiLAlKFIcrFTBoAl4mwVCps327VxXqeQVPrk+k9Ti8kvZ7OA4rpP1zXrAltSCbdyEBsBI4xJJNuKw6FN7L+QzouVHrQftyllitcikeox+riIolEgrk5te4mJkC1yNE9rqw1GcHUlDRVq20wbP2Wg8DUs5jedXYdmu+TdFuRBavyGQ4tg1JLhtIjj64uCX+GIdRquG7UtkjfnFHY2utoq2NJeS2zcbdff35e1dWpojtn6hj5vNzX5CQRhVO5rBsgMD+vqJF0zLNWIxXWyeWMHmB2lqjgSSnZjCe1fxs3Rj9tBE6sMEpbmFpRGf2knq1JMm6EQJQbYI2yAeJ2g1FWeh7Cxnk4FN/nPI/bdVXdkKr3iyFiXde2NUzuzyx25fXFjnkOxsXkvt0wtEez2YSVFTzXZWpKoSNLJdnMazVmZyPQZaWCeAQa5qvigWfORKjfWCJ8aclsamYOrKhGMlTh6qARA5ds2aKudeWVcvz993Pdjmle8hL5/Gj6pfBrvwbDw/StTPNzPwdvehNkMog8veIVko+74gpAdOBrXkNU66cp4kyyWv5pUNXVKr4vIc2Zjn65qclJBvLC3Sm565xJSPdmWybqo1MgjWy/EDv4vmwqKysm0pgM6qZm1SCT1TBGdBgau0NHg8wWpAx0FQmV6EXQVrStJlxtH1E+MBA2JjukqWXU9zFzYiI46jwprxULSRuv0U2asLXO35m126YF9Roz+2oY9ce00Z62Yo3L8Q/puJhi0/+tFwZaK5SpP7+YVwjwraee4jvfGcNxVmXyFUJF5w6Wl+OOm1FYSqp1cXYQEMU31U69ZUskv2aB61yTkj6dXwJim7MREpXoCkPliVmSbAQ1kCal5bJSXK4rXgcN02BRhwzMfSiJc11RyMYaVNdMhg3Dn1kPU7IxqDhNrA1OR4cpVtd5uk2bMErN7O6KbUUXIado0LelFYF6dLjSSqTrvJ0d3tSKRf9pe8c6jKthzjpEoxXUecrGcufaz2nWmHW9dUebt2hCyaHkQvXu1t6k+Lke7XK/1lqzx/z8LDgO87UaGzYoQ87zzC6pqgKieXfdKD6pZF+XceoQHJVKxLRTqZjuWabUQL9odQ2d185m5fyzs2pt1WqmG3gr38/MjKWYcjnRZGFoGpy7LswFqq50agqefJK5msPnPw/33CPfv+UtiGf3xBMCenFfyuHDCkwy/m3Rcr5vKnVWVojQWOUyo6Ny7LFSUhhYtmyBUonhYTlkchKa2a2kgjky1eOyVl/4QlY6rbICZcDOzysl73lQqXD55WoO8nkYGjKecTKoQ7WK61pzWK2SDOosL6s9wkp7AMa4UzYnYaiUShCYbgW2cbd5s1VortaG2TcgvqY9YU/auDE6Ru+d585FIUqj4ZUlq1+7aaXlWiw86svz1mpMdn9Ix8W8tfVQl+2LeS1U5lq5PD20x7CaTOIEDfL5OvfcA/zcz0kLmtLDbN8utTo6/1UuEzEEA87ElYze2gABAABJREFUY5pxSyDSua3Rwem0YVpJp9UGoA8GI6iq9IiZcynTHXnTJquoFKDVihj21Wd6A7fzhUYwtfmks9TqfrWea+YEJk61yoB3ml1FCUceKyWZy+9Gtzfvrz7GrsEWlQocq/Zywpe6wXwe+r73gCT2l5Z48GQ/f/pxh8OHZUH2ff/b9FcfI1U9IRfM5ZhZ3cpjE44pRdQFvBl/mky6xeysJPBnzkk/vt60eFIGtKPbI6nn1cjZICDmCrquBSDSeG81dJNaG+gCiOeZjjzgc+cUUXTgGGqlmHINAiEZqEzLpuGlmK44pqZSe4LtICZtlauenf/qQxuOaxmArquYVrq6+PNPfIKf+imFaHz3u4VJZWyMAwfiXvfsXAeGlTudhkOHDPPWxATonb+BqtmsVtldbBimlebg7qjFgIog6JZahw9LV43rrmryCwfn5Gbe9z4eK76eUklKCt75TkhNfFvmt1DgWDDAXXfJtfv7ofeev4S//mt5wIMH+chH4G//Vt7Rm94Ee/wHJPaoNKfvy7u/7z54zHupJO4OHeK/vukoH/mI3OLXC2/j2OjbwPfpP/QpXu49TBjCX97bz9HCayGdZldaPNBsVkVpymV58fk8jeJuE6bV4pdym2zbRgQ6cSNCClwXcjkmJlS0JZ2GcpmduTqXX47Jj7bSGdONvpUVdhhD4K3WQNJtGYNEe07a65uZT7LaLVGknh7VY1KdMJuVUzS8XigUJLIDsUSdfhY7fK/JIeq+I8aw1riVChk3YjfC86j7TpQrVJtbymtJHi8IItYkI8s/pONiVud640JIzktBZ4ah+p+mbKrHjy8Lc8NnPgPnztEYuppHH40WuAZsmHjAwgLk84YVwvOQDdBi7m8WdjIxIYebEIm+toJm6dCNboJKLsf3vmcdo6D/LRwTRvR91SQxmBNpTadNCsx1ifpf6R08CEw3gFwOktVpWSTFnTwwtZXHJpP055rs8h+md/IBcF2Ou7toDu2Bw4fZ9dSXKZcjRiXn8NeZfsUrqP78z8PGjbzhDfCLvxhInmNsTHarQ4eE+6lS4Vglwyc+oXIuKDj4kSMmZEQQsKKaQ//zP4sFXg+SQmn/uc9BqWRIp6lWCUPp0m5a7qkF3SAlYVTfl/s4eRJqNaarSSYmhC/AhIItr0LPUdKfI5NuceaMnHtqSpST7W2aamNdcZxOMzEhzkC1quSgejp6B2pDaOHEQzj/iuNCgC49whC2bt0MS0tsLxb5/OfF0ucTn6Dx1FMwPMw990QRfbMedPzx8GHIZrn7bpn6bBaZxCCQTatUgmyWuSBlQl4mTA3y/fg4c36Sj31M5jJ1559Bucz/HusV5VMus8c7xs67/5DdwcO8//3w+g8pxfShD7Gr8k2OHIE/+INTLC/DkZ//eX7rvvvA80i8qIff/u3f4qGHytx6K7w8+Dp84Quc/sY3OD05CZs386EPwaFDh/nOd2APj8Gv/ApUq3x2fDcf+pDYqzfwdXbVvh25sENDHDokt3/unKIIzOfp65xjwJ2W406ehG99CxAb8bHHZNqcr3zZPHMYqgbSpRLk85FsqwmvVmXJTFccme/77iNTO2Fy+w4itxMT8rUGfpi+Vkoea7XoXnWE59QpWRutlghC0lcGxhNPgO8zNSXXtvtCOmEzIqnwPKam1DMFDZI0WVyU4xcWrDWhiTmUQnPCJo3A4UTZMc1ie7NWOkIvGM9jmXifth9ahbfWuJASu5Aya/98vXCnGWHIdS98IcN7rmV5OceLXoRknD2PUinawDQITbM/EASwvEwzu1X3dRTIso73qCSUtvhNXFopQ7PQ83nm51WoxNoNdZTQICE3bKBWkzRBxm3Qm27K+VxXuiUHKaNUU5Xj8uzFnYJoU4ln3V7EEGSn04yNiV5Kp4Fbb5X/XJf/cluSD31I5QM+/GF45hk++lE4depJ3vMeCF/9ak4Aufe+l7//B49Tp87wqld5HDyILICpKcM2f9S7mg99SBTC6Cjs8Y6JIlNWuS7c8jxh0T98WE6RqRyTrtIzM1AoiCJTi9/3ZS8dH1drY3ISqlVDHcWRIwIf7+xkpmuAqamI0UUj9EwTVx3LVZ5bMxRqK80qsnGjWLs6lGQsi3Sa5tAeHp4QthpNQWqOs73rXM7oPs+zmFz+FcZ6+To97M/7+rZDq8XPvfWtzMyo9jQnT8qXCtZu16R2uqtGvlhehuFh48EPDhKFM0F22HTaFK4bkgTt3akfHTkih//ETwCHDzPt7eTuu1X0pFKBj38cfvu3oVDgi1/8U770pcPw0Y/yN1/5CtxzD9/4xveBT9LVBfeAPP1HPgL8CnCaP/7jArvu/K8SpnjLW3D1MVdeydgYwGZBZFYqhEEAGzZw333wyCMC3uKuu0R29u6FoSHmgpR5TB2tmaupUhS9iSwtQWcnzVw/Y2PQaKjekOPjpgwgl0Pk2PN4bDLJ5KRal4qq6eRJ00xctNozzxjvT5fynDunGHB0OYKO9Chl13RTRty7uzEh45UV1d5xOYjWgzZELIrFdBqoVmORDv28eqvSvz97NipVSgb1iLFAJ+dd14CYrMeI8ut6n1VEHTEkOM8zhfcvGe01fPbn63p7rovb2UlHRyfJpBICi1sqBs/VYw0ggxEAK0atv9uwwYqlq66Idqxaw+X1D5qhE2+yqeD17bDlFg51MrSyvXhelEvUtRJhqFCNajPRuILOTkzeRSv0nenToiTyeaYLL2VsTKXrDh0S82/fPulmzjbeduA000hbe973PukTRob9+6G3ekyO1xKcz5uuKGGoPIannpIFqza4Zq7fzJX2Hvr6kGN8HwoFZuaThj2fdNrsj6YsRE2OnRehsxM2beLMmagtUCz3HYZxOhj1Im1cketahoreCDRSVrGAaE/HzL99frVYNdJ0wwaLqPsHONaT94tFSzTAS48Opc1CFaJKp4HOTikcT0s/tS1bLKKFlmWNK4tKp/Nic6EhiVZo3URYnnpK5nbvXhgdxfOkMqivcw6yWdPOx5l4TCZPETTLDTwF1OGeezgKKudwApiKlQgeZyfQBF7HL79pGspl6oXd1IdeSu/GjeSBRm6AoSEYGrpSlJHnSf3hli08+aSiIZuaMgwsx/2tUCySTovyKhQiIgVTH2fDIpWsua4cl/Tn5PNi0Xg3ekHq9ZLLYRbPzIx8ZlrtGHJNDMAD5NztpOpaFnW0Ip9XubN0mrNnLfC3EvpWtlc+WFqCMDR7TzaLAItoRT+yUiwpt2mQ0jpsb5+3HXyidbLnqV57CIjO5OCVUgzD8xtxPy8V3oXQlmvl+C5kza6n9BKJBI7TxuzdVuumJzuWRFVSpRsXAqbeSl8rnY7qv8xbU6AMwKCpbOVmgyfaEQ6uizGbZmdlcWlwijaKdB4xWTsdeZyFQiwcAZjFMjyMeEMAe/dy+LAYmoUCEpIslWgN7WZ2NqCnJyOYbqA/n+excDdB0GJoqFNomiYno3qKbBZGRrj/flnHuq2QiQGrHcn3JTfwxBPGcZLchGEQNlNlIN06V2k2ZQuy6XlE/dlUk15NhhtTNDosbWOnPc+Q8mqFaj7QuRANoc1mCYLIGz9PkXnS91Dna5JITWN39w8epXkx4NZax+lj7eG6LiQSrKysxEoHnDauKdMAVA+rw4a9DxvNpvPagXQC0SQAxnVQ7lHd20pXl6p5K5VgcJCJCQFBGUbmxUXI53lgsheYAjKUHn/cuplxYD5Wpzw5CdIY9mqJLqTTPPGEIoTeuxc6O0nVphkdlWfT0coQYPt2k3YwSTJ16+TzOlCD50XOnAGTaYWgZEg7RYkE8g/dEBoVLlcTo+XbBroZmWnz2DRizvNEzs3casvNdQ0cWlN9mTx/GPFeeh5GKZu8uPUa2400U2alQCp2Ps6Wb9fFuijnOQzmGCsXGIYYY2Gta8PzSOFdyCO7kPJb67i1gC7njUSC1dXViKrNKnBbb7JtIdQsLEAc3he2tZXRf/xLzHvHMTBfANJpFhaUzlVKwZapWJgol6MepozTtbiowp3pDMPDAi7jzBmJNx44wMmTEo665hpkYe3YQbkMiYQnlu+ZM2LxX3stY2PQ0eGwfz+8fETlIDWE8wUvoJHt1yF+9u5VAIPvfc9otZnFjHGeFhZk6oeGYM9gIzqXqjkCQXLWw5QJleRy4NTmzByYPJuK0ax2p4zy0srROPB2XUM6TT1I0iBl9mfzKnV4Un+hFmJL0UF1doqyMx6kpY193xjJscT+vyZSU49LWQ+OWgQrTavNUkeHsQbPE13t4Vlyv5aIm9pE32d5GeNVUKsZqp1G4BiFYbrY53J4nsDx6eoSWVC0fqLEALYyrv+ZzQKi/AxDEFpHBfT0bBOFF4acPauizlpeMRgbQT8iTHssLES4j2pVlEIuR6kkYAxdO6jl0RSEa8OojXQgDBULjDbmtFxooUinTWjSNt6Wl9swBCrSYSsmW6cY90lvUspAM+9H3ZPnWb3sWq0ILak1j6WATU0lljJeY5+zq1FiTp0tGF7Uo9M8vxWp0TJj8udtW/fzRuFdyrAX7rMKYa4xOpRFe6GhI1+uS/QGg4gk2d7ATJjIEowgiBPDGki3OpctPDEDSB/jSJjTtOVQw/xOCUZXl1IAGsNseUQ6urK0pOrjkP0jWT4ui2j7duZyu/je9+Rn116LSRpMTcHq6rLonkpFytQHB6lU5JrFIpFHppgh2LLFGPA6jMJDD2F2qsFBvvc9sZS1MdrdrcKeU1PGkqZY5JlnLHgz0fGeB7GL6OF5sHkzS0txQ0ArvJTbjH3Y8lKRZWxNvbHUl5fjBovy0lUql+5uCX3GWjPZcG71si4VkPV/MtaKelzISLTXil4HOrTZzpoPMrVmb9Lrxjow5nmreTCIVc+L52Isr1m/T9eNl/jkckhuXZNPDg1ZjewAeqjrf+bzwGnACuuhRU6KrDWqo1JRIqZzkES6ZGVFPvfVA9slFk3lXen+dDOzjsnfWVtD5NmVyzI/27aZfJXZvO26Xa151DCGknLLjJNtRSTCMKoFPc+IsgvdVJxZR+XboyJrDkuOtfjbAh1TivZv1GMtLakyiraSIvt4DaI+zwtUoxlGlH6JVnyP/qFXeBcrO7jYWO/4ixXiJhIJVldb0VxbFN8XtMTVMbYFrz9r4cQUnlGKChNvKzRzjba8oLHCXJdVEjFh14KwvExMCDs7iSzHtlyivhcd2nQq0xL2DEPZXHbsoFSSSwwPq5yJ58HICFNT0NPTKY0uKxWyANdcY6JRl1+u7k0X8Ch3VJFSkE4rEMP3vy/H9fUZaiZ7nl1XASV0ZbPSlCa6aS82rJCj2jjNnCmXq9mMpw/S6XgLFh2K8/14f8GODis/qN042xJRoU/7K7PBWBvYGgQRz/m4EDFD+3H2/0Ok8FxbLvXErBVe11Bxswji+U9oo5QiElcTdlMbsgYU+b7SnxpdiOotp8p4OHcOhoc5fFjOf+212yjpmzp4EBSlWNdsGYAcgowEaacXfuMb4PumrRcKmKLlzOTOSiVq6oaNbbp5M0lFN6PFQZNOFIuCfk65UlYxXXEilFQ2C8PDpqRn82YwTQGVYdRyk1FvI6ySBrWWtB1p1qvK05vwH1F+MOVZ7CRK8DURhXkWtbfodeHQMtEto9y6uiCbNcorJt/6gm17jO2Vmd+oz+2h9zDXtcqIbNlSr8bkYleeJwrvQt4a/MsV2Vp1emuhNBtLS3R1pTTPcFQtCaYuJxa2bLNK7XMRBIbYGM/D86JUUdJtmfxWEKjjfT+qC1Mn056DKdYMQxLhsgiB2oX1LWzciNkYwlAZqrpoRkPuif45OytKsm9LS2BnOmmm+oXpsoahISLM/9CQ1FShPq9U5PjLLiObhW3bxFNsDe8RCguQ2oKpKZ55Rgxq11UKTyMzd+yAatUU7j7+uKAzFScvUVdNIo8Y6aheLkdK21ArmRblRElXz2NpSRaMtS5FJvRGpNwKWzGdp6D0Zm3v5F6cZT5moVoGyHm5GKzjn6OxnnJbL5xpHxuq++5Q3RIWFoDlZUEr+r5xhoxCc5xoV7IWg9b9oELMlnWva80N5L5Wo+llDFQ+n1e5XiUMY2PqfY+Nwac/LeiRd76Tz3zmSQBuuw3zZEfdPdEDHhe08i5gfv4o4PHe90IAcMst3H23yFrja1+jUakwMytd1B95RJUn3X+/nDefZ3l5WeRnackoxzCMyg+1eJz3YvWcKPdMO1uGA1ahe7q6FMCss9OQOxhja+NGc70NG6I5w5U8/vy8HJfyWkasgRgbFLmc0ZNgNXOt1ejoUFRuGiii3pEBGnlrFJ77fkQ1piJIEH0fA/u1hXTtdJBZl5aFtKayW2P80Co8PS5UcnAh5XahBX7RUKfr8u3jx/nOd+5n48aGLKwrr4Rsls2bpcWIBqzYddxaerTV5Xmq00ChYNrqEIY4tTkjZI3AMegyIzy1mng0YDwys7kHTqS4lpcJQ4H/NtO9pu4vRUMSDmp3KZeJWNl1QarixgsCsUY3bkQUysxM9EAjIxx191CtSkHuz96k6ncOHqTxll8gCOB974MfHT4hWu9DH6K596X8yI/Anj2ieDSrhIlf7t9PpSKdqW+5RTg1GRyE664zRe+eJ7fy5JMyHcPDsCs3F+GvBwdpeSk9VUxOYqzkkRHYNaje77Zt4HmyV2itOTLC4qJ4jIWCTL1DSzZgvRtrLDTRO9aGRF+fCn3aGXll6DS8iAc0m7WK4rXSU19YBjaAYVp5Lr2+S1kr60VOSqUp6Ojg2w89RLGoNsYXvlC+rFbJ5WJ2AquuYjtYWTHlJbpjgcmPodg/FHNDb7oZzUkuB0NDhlu6pwf2FOtSp2nJkO/L9cO/+Asolfizw7uAjwM9/OjE75v7f//79b9Gaar6hte+613APPA/eH3wN6SHhvis+zaOHIHXDx7l24AH/P3fw7lzjwMrApp5/HFZSfk8L3xhJ/v3I0L69rfzv+/P4HnQWzlKP9PkchYy043a8Jgklvoglo/SMui6UZnK8DAzs44WX5nbvXtpuBkKBWUI6CLcQkEhpIlcYyzjS8ui8gZ10Tkow9jzoFKhu9uqTde1O4C9uRk+ef3iAmmWa2vRdFres0aN9/VZHMJ2KNPzDPJSgdbjUSki41R3ollrPIc243M77HzDhVBkFwpvtv92LVi2zTLhoLv8utIaeXGRbPYsDz0EN/zIj8A999C3dIKengFKJdnjBweVLCjCZGo1nPIJ8vkBY7Fm1MsPQ1QPLJ9CoZcgEOs1ZXV0JhT3T0dqGmGSlOfh1OZIp3vleL3Tt1qcOyc6SvW/lE22WpV4YrGINyWfZ9ItqIQmGa+Q/Xie5BwE/lwT80mxP/yve4QBZf9+uLr2dbhjHPbv55v+1dx9K7znPXD1/f8dPlqmefsf8qEPwRVfhDdfeZSJ7z7BwBX9HPV7ZU6zWTh4kAf8PZRKokDfOHxM0J2bNwtrRy4HxSJHxkThFYsRO5Smc2LvXti3j9nZKBQbBEYPSj5RFTMb5pvKNK18P6VaL5UxsYivv14VvfoCNHG0WakZc9Jpcl5k0Oj5GhoCU2AHxvRspnuZmoyO25mrQ7mCebH5PE0vQ6Usl8nnMfRu+tLPpYe33rgQKxHIPa2uOpBM8lef/SwHfuJXhCfhrW/FffppKJXYv19ejyZLP3uWKJ+Wy8HUFCMjL2d2VmRt+OBOHL9OUnEj6k3PsNSVC9RHbuDwF+R17yp/HQ5NwL59zI28Vtey85M/Cfzq5wA4+pbf4t1XjAEZ7rrrj7jzLRJWve2ee0jc9AfAflYffQ1f/shHuO2972XrF/6Unh6Yu/3PqL/53WT++q9565sX6OzcAJUKOwGnWCSfh0TiSkZHlbLZto3iZZfx4OxO3v1u+M8/cwK+tJnjr/tFxu+Cd7wDeHAKhoYoFkVUpmtCjlAoqLIDXatSrcqHZVljW5M1cTXf9CbqQZJCQciyQzdDjyuK3/ehme4nGQSkaFAsplQJThaGh2kVBkhPqmjNk2Loep7Kd5ZKorwuuywCfQUB6XSKDRusdmSFArWavLqU27SSr0QYANelULAqeKw6Oq3IUmnZW/U+uLgYRcVMDk+5fTYTS3e3lCNQ8U0JjzYKdKBt0yYV2m1z954XHh5cONHePuzjnm3pAhAtwu5uFhZSvOENwIMPwstexlFfFNnIiLyA+XkVbtMVmF1dkM9Trcq7yKRbUC7j0Ipi6CovAEowVTzfhDTVZlosQiqsg+vS8HoJQylrAgwx7dKS/LM/25AN3HVFmAsFGoFj6oHw/YjuiWhz3bBBNpqBnFKUV13F9OgbefAhQVn+x/e3uHq4KQ/8/vfD3r28cniOP7y9SbEI9Vt+mcZtv08QwK//Orz5x2UTZ9s2ZpZ7TZ0f2SyUSrx8aI79+2WhzOV2wcteJp6YRq+FIcPDmLCmouWTex8dlZWbz3PmjPxk717ZLIaGZOpKJeSHWosMDTFNP0EgSujlI002bIgo30w/vrYyBM0x6nkyP0ND8pVub4PrQj5Pa3AXrXw/ybDB8LAcu2kTETzP4hpN+nMUCiIiBuLttnWQf47GegQN60U99JD9bxs0m7z153+ee+9VG////J9iZh84YBSQrsXLdi9FeR3fh9FRxsbEMt+7F5zJoxFeXxkxjTDJhg1RCFA7LFfnpyX+fdNNfL12Na4Lb9w/x9CQyutedhnun/85R47Au941CvxXvvxleL1+gA98ANgKHOaNt+1hIzD+sY9xuiJd1hs3/3syxaLUm1Jlefn/R2v/DdwPjCv6rNXVJ3FdRd7wrW/B5CR//ufw678+xVcnB+ATn2Dnh/8Dr361bBPs3w+DgyT9OfpLD5DLCVfCXXchD6iZETwPJicZHZU/FzqzhmZQg6WSNEmFdZJui/l5kdtk2JBzlMuUy1IlpDlJHb8u8qTimJm0vNeFBQxoDNeNQptqrru722rjsHLQnZ0GfQwYL3F5OepPqH/X8lImqqFZhJJui4zbMF6jAevpGKcr/TmTYYOU2zT3TC5HK9trbkkrQ13WRRg+f6jF2sdabCmXQo2kv7vU8wLguuy79lpGRq6jUNgkxqpVADs0hCG7tX+D55liJA1Jt9v/REmKKKrRwrF2dUwi2SSj2zinTKcBz4PlZQYK0uCx5aWk1s4KE9iGmZaYVjpD0xVeykw4R19Pk2xWEUGPjJiiWRUNNK2BqNWo+w4Pjzuc8HuhVqN38gEytRPUahEjGCASvbREX3edvXtlE5wuvJQTe19P3e3lR0dO8+bLHqa3chT27mV66AZmNu+W1i8qVzA4CK+9scXLh+bodevMZXdybO9P0/qZtwKwO3eavXsjdGDKbRrnbLqWojX6clE45bLp8DAXinLzCOhlznhYQSAtW5r5AfNik0HdvBYnbNKbbRmPuOlljCeo93RNbtyfbwkdnN4AUA1fVRNdJ5S6O5P7DaPuCc9VSPOiOesLDNeFrVv7oaODwRe8gBe/WBl4w8NCXJnPMzgoolMoKCXkOHLQ4KAYKK7L4KD8uWGDnNSUJKguwZOTQmakw5T9lYe58UaY8/ol9p3LMTioDMhSiWuukUoCPvxhGBri4EH4s1tPsLDQQaEAh/9+ldv++I9hwwZW/2EbH/jAl/jiFwMe2PUf2fvnf06zo4OHc68lDOGrn3gabr+d733vBbzmNb/K/v3ws48+yh7gle/bw+qjSxw4AK/7xZ0ce3AebryRP7vlAX7ndwaFFu/wYQhDrpv6K/buhc/ek+Ev71Tr/u67SX70D/nJnxQZ/N/j/bT2vVI288FdMDhIauoxXpt7mA3eCtPZ3bQKA/R11wkCeHhCtbU6coS+zjkqFXhsSojg+drXuOUWmeoT6d3wvvcxF2aivLjq6ffqV6saRqA18lIa+Z3yhzLyLJ53s0+YAIlSZmEo6/t4rdfwnO7Yoexni7LQyLD6jckDKiXa1dWGU9ELyHVpuikaYTLKGyp51Y5jkiYZrxnxC5xX3/A8Unjti/TZlh08W+h3sLyM63pRAblCSlkePUFgFdtqlz6dphE4BkqfpGk8Bp3kaISSz8tmVUmBjZ5Q92o2QPW2tYVjmAVcFxIJIxx6PjQcWW+koCwqL2XCtkm3FSNdNmEJ5ZUY6h/N3mChxjxP1TJpD8Z1jXPmeWrj1x6W79ObbtK3pUVHh6QVp6YweR1USMzzxAKdn5ffm9yBjidWqwbUUC5jzp/xmkb368Wm14DvY5SSU5tjIC8LpeUmY6suNtd6aKARqjs7woqCes16Xu0wjB5m/tWHureYOVCj3bA+I/aTf7Nhr6HzQCuJBG4qRU+P2gg1jYxr9cjDEmO9HlQhonKIRSGmhUrMfB8EbN9u5fhGRiCfJ1M7ISw9QUDDzXDqlEI55nJ0dyvl6fvwyCNk3AYnGODQIXntr7+xIcL2spfB/v24LrzsZR5dXdB4yy+Q/JmfgcOHybzzp3nt4HE+e5fDO98pzuTICDA5ibNli+zoU1PcfLNgryYmoPGhP2S6+HL275ewPkEgUM/ubgbyTQoFEaFjpaScbHGRvqUT5POSby6VgFJJEM9haCIvK1j1Hr5vIhxBgFlrRjF5HuzYYUKPurGswROoRdQkycKCki1lPJ87p36vlI0mmF9cxFiQmbRq9ZNOQzJpjGfPw+xz51Uw6D2nDXmr5ToMo16V7aTvGqUeBGof0L04g/NbGsXWU9v4N15CP7jRTnekRzuLynrH6WPXY1tpD2k2Gw1cOiN005NPQnc3fkE23UIhmm+DnGx70UtLssE6QY2k3lXdqFO3fT1Q51OohyBICXKy2zW/yWalWwAhkE6zmuwS78aLwqIShnNIhkJMvLgoe4pBxekLqWs2Q4eFBa1IQ4XQ2iqhCju5rhab/nnT65V8ZBCQ8ZoMDiY5d06EdUu+H06cMM/WcoUCbMuWyKt1ikWTy+j1GvQWPQPe0BD0zBYV8lALafNmx3D9kc1S9+Vd6pKCpOcRqoWiAUJ4niGYNovMiiG2cM5fuNZ3djil/X3Z/9SLUI53LsnSbOFI7lCN56oe79mct/1YkVUfVlZIb9rE5CQRe46693JZwrjGGNMlPDpJ7brxkshqld7hPAQhpNM0s1uZmZQw944d1rl113G1yW3bJqF7yoGmkuS6TV2GGcf3BWKfz2P4Jxkd5Xg5yTXXSGTG8+R+dx04IJGLwUGDVnzxi8UT+rEfA2Y8YUQfHoZCwURc8nmV18om48Xk115rtNPgYDLaDkyDPdkzTD17OW3aYqVcIWfoWA4MujNl0a0BRkFlsxkpz1AaTmPBTI9MrFCk5xlyeCcUei+HFisrTrSuwxBPRehXVuIyGYaQ1Htc0CCdVkTtakF4nioVsfYK+/daSer6Y9eVtRkE4KZTkXLUBqbr4nnJSPis+7Cva/RkEBCjzuF55OHBhQEqlzoutvjNBpZIEIZLEdBJmWbz81HuVxtJBtJuQX51esLBqu+yFI2pctCY7iCINXwFFadWNxAEct16oOqXKhUSi9KgVIdNtReiuwE7YZOVFbmWHVuPuUJYG7raXDZuFEFuBI7w53megHEq07iubBjlsrp3RZp87pz88+xZBaVWwXqNBtVFqp5H1AsOjELS964Rjt3dVrhXLX7N/KA9Ec9Tyk6jJMOkfVpzD+ad62d2Ii/MrkFKYhXorSET+uOWG+8/2G5omoJqdawpVVDv33jZ6r60ov9ByPe/ZLR7du33kUh0QqtFuLRk+rpSqUjdiKpdm5mxwHzaarHKPKxqmHjXDi+inDKMWsp4O1YSlhvKZZyJx0inFQBkcFCDNaUYb/9+Hi4JCvDAARW+y+VEYe3bZ5SlFqVd7nEJQxYK8L738dl7xHu8/nr57eWXI+TYQSA/GBri8GFDlwmHDpGafBjXFSfSIKCVkgkCOa5QIEa6oPOSTtCAfJ7jZQFjmBYcHR1RZxNV1W4MBbWHVKuq/lDtG1pBaqPOeD8qHt/To+r7VESmhRMvMHfjDYptmTx3Tsm6Ys6xj9Od0vU5bAPxUiMZMTlTKE1QTuUaa1HLZmw9tY3njcK7mKK6lJKDS8n7GSeoq4vV1WVSKctSS6fZskUEyCYtNaFHq4Rg06Zoc46hl4giOUCsOKWrC6N0dI82rVV1x+TFRSXc2Sw4NrK0TZBUfCCdjnrixaCASnJjm7laBOfOidGc8lrC0KIWfjPXrykL2VlUijyXo5kf4MwZuY5NbKsVCoj1aDY915VjVOuBWLflaApEcaj8YTOUvnLnzsmG4dTmSLotUcqqiNnu3m5CZkEA1SoOLWkCS1IUnrV6zbrSn1meeHtezXVZU14sBz8yLIJL62au7aDnKocH64crL2W4rguOQ9hoRGQmGgBBRAptqKi0rKfT5hgDYQeTp24SvbcYStUyxMIQYwQaGy0MI0aUkyfh0CHSaVFIGgxGGJqalf5c1Evv6afViT/3OUGRuC5jY2Ko7dsnj/WFL0Dj7b8o1/2jP4LbbiOfl9/fc4/cP1NTRuFVKkhy/fHHoVQy4l0qqfs4dSp+zwClUsTComOS6hm1LGoGJd/H8vCiOdRz39GhQFjpjEmVaIMiJpOWgWdzasbYhCxB7OxUsq6oxWIyqn5nQCtBgBM0Yu9fH6v3IzsakqQZMURZhk/MeyMyBl1Xrfv29dTGLfa8UXjrhSrXA7NciqJbd7guHZ5Hq9WKuhpYgXKbJDe2UNUit0tWTLNSSyvZ+4H2TmIxsTCM2IR0TVgQUCgIqjMMBWSy3KFCCLU50+24VlPAFrVAbLSwvSvXw5ThrMxmVYsTxYY7M6O6pAdOpKXCkGpVNoZsFjlA1QNY5CfStyqdNu0gUm7TWKHGW9ZerVKYmskl4zVxanNmrwLQLkUYWhy9rmtcaCP4xuyzhmWE6LCosRzbwpK+H1nJ5l2qd5hymyTdltFjLeKMObGF7Ma9yRZOPCTqSucLcw6lFNcwVn9gY61yHHtcqADddaGzMwEdHbQSCVNUbWJznmdIso0YJxKR0lPs2VpZacvcCZuRERaGJvqZrJ1GM4uPjSkEYi4HlQqp8jF6w9M0wiR33y0KiO9/X3relb9OtQq/+Zuq64/rCpXK7bfD1BT33AN/8ifiaTI5STUI8FXyWpObDGTrFIvCdPcnfyLP6I+NwUc/yt69olA/8xlEM/o+A+k5gw5m2zbREJOTFApSD/+FL6h7f/BBOHRI90/meEWiLc7kUZI0aeb6aQ7tYamZEDvWV6Rovm/S3TrKks2qHJxC/zph03ivEna0gGrZLKWSdAzSm4M2Cu1oT4w8us0wj3UDQeVN1Z519mwcbUwYRtGbICBJlL/WqGdDymJHAdQi0mvA9zEgL1tGdRTN1Ky7bhvP3fMoh9eeq7PHxWqJ2o+96PFhyInpaZJ9nRFZqwrD6KilJt5Pp6N6Kv3SFxej5Gzc9DenjzZKa8dcWcHywJQXqKpvm7l+JiYgm3Wkrq52gk5/HidsMkcveOD6qhavehoqNSgUDKO74VpWoYN0WnUv7vGoB0ma+QHJyWWzpANVg1OTzt3k81IWUVXEzH49AugoAE5fnwIkaMRLSlCjYQhJWuTzUcjSJFo8j6abii9S4qBVvakGQZQDMWGidFox+RKzKg2htl5M6bTkUvWiUVWrLTdJ4Efh6RgnaRjietriTMasTy0ztn71PEuW9KaxRhgHzucRfK5Dme21ppeS47afcXFxEVotUhs3Uq1aITcl15rP23QACZYiOVhZMSAV18X0a5zzJdSb8n0YG2NPLseJbbv57L1bedF1v8yVRfjZ3GnRPncv0HrTT3PnnQKW3pM+zq237pTyj99Lw4c+xAPeDVQqEpZ8y1sQ7y0I4Lbb+Oz4brJZ+J3f8aSm0/PIXX89+uZvvnkr1Sr85d0ZJiclpPnLL/oy/MxtpIeG4H/8D26/XUTxAx9Q5waOVnqZnISbbwa++IQovKEh07NOcnVlYw2WJmXfEGaUwMhlGIhR1eUsq4Jrzs9XqRhpraacZtVZtRFK77iBgkRcQlf68PWr3LfxCDUSUnlMSThPRu1hvGsFWoGIDB2lGLU9E8sLaKHxPLO+9Lm1onJdYkpS/5f0WoSutRbCULAPWnbVCcw5w/C8HN7zRuFdbLFeKFyzVqF5+3ljw3X5/swM1Otcfvk01eowAyrj3dcnC1wTnIJ4Bjb4oKfHYC2if1ixQ2E3kFh0g5RJUJu8U6VCplBg5lyGc10DdKYhqArDS1/nHJSqRuHMzEsTxHxeb9hulAd0XcMOHwSQUvDFJA0RWmTT16jIXs+DapVCYau63axBh2knVx7TMwKbooWXj6w3z8uQ8oDlZZygQUiKUCFJjSILXGxo36ZNUeNJXFd5POodqfDX8qzVTy1wTbGq7UXrPGDEGxjGtY3ePWItJuyNOoytfH0f7eFGk5iPXmlclmKxmfPDoBcCVj1X41Kv136c68Kjjz4KjsMHPvhBrr3un2QudFV1rUY+n4krdcW1aASrWiWbzVCpwLEph125HL3haahVRSGMjHDM72fssPz0uquapgkqW7bAtm06mGCuYcqCXv1quPJKvCq8852WbXnggDGqhoYi/dvdTVTAqTZqXQPe1SVgy2IReGZJPLnBQRgeJjgkFRYHDgAfnYB9+0yzjFoNUtu2yQXyedyKYF1e8Qrgy1XTFNadkr1haYmo/U/YxHWTcoMLC2JMqrhk08uYWlBtvBk5VAtOO0rN0CHpedSq6vtQvs8Ve6PuCWFIkqYAu3TYxZJR0yCWyAH0shGIRPWrJaXAbRs29EaCom6s5SZFMamPNAJcSm+cNYnH2+XNpDNUThTFwJK0jEOJDqzx+/M++SEe9kbRrtguxL5yoWPXHY4Dq6ts29YTQ1tppKEyYgxsOKW5KpGXm047dHW1IfG0SxiGeF4y6jik3vLycpLWll4ctVlu2RJ5HXNIB+3ufC+ZHLLKlpbo6cEgsTwvEgx9zp6eiKWgGTq46UxsU5Y6F2fN/IlRijjmOB2yaGV7mZ2VBaCdLTOvgRtB/wOlfNTMhyG0suoZ0f3gkgZog+cxM+uwsgL9eVc1loSNG1PRZmYtFO2B6aH1mLEITdiQ8zwv+1RmTuzjiCu9+DUtj3Wt0e7WWRvCv8VoXzvPRuFu0cXKrZaui4YrrpCWTkFAsRgRa/s+LK92RS67Whc2F4CO57dyW43VvmuwRaEgQIkmScLhl1Iuw+AwOOMPkxp/gB+9cYSZ+SRznTsZu1+WZO/CAkxOsv0lA+Z+zZrSLkUYAWZ27CDOBxiGRpFms1J28Nd/Dbz5jVw3Mi4xzHKZX/3Y3/FLvyS0nf/1ttugUmHQEzHv6EAUY60G4+PsymZheA8PPgj73/QLZI58HUolbryx1/QvZqhgwvJJ15UFnJSauyCATNYjGTbZvFnKCkinoVxmZzEnpRmK481144aACRsrwTShSq3BsIxfK2wfhgqXYE5gRT3Ub7u6BDnOliwtHBZKloenLuSoOdU5Od3NwQBa9LCNQtsgJalQnEmSnvU+1Y07gKcIr5uh8/zN4bWPdq9Nj3b2lLX+s49ds35PucrhSoJWq1u4GRVdlYZDayFZXFTclXoBpdPM1Rzzso3A6POGUhujN29d6xaDznseDVIRijMIzPrNpCUkpJlWgkB5NG4zygXpzVUhJEEUSzKo4wQNWjjS583NUPcV2jE4LWixQCDfjzwi3ifVKk75BNRqBIEqUM9mcUKpr7M5qedqjghhGIo56Pu4ruQCG4FsZuZ9tblNBmhDWxdjlfxTzqk8jzpOA2MdBFyTQkLL586pPIB+r3YCKQjQ7RLssF0zdM7TXrYs2V9pj82EfSx5i4GUbNlsV4CWPOhzPVd5vLWiHxcKo7Z/t3HjRghD/tvvf5hSSYXHv/tduf9ikZMn5Tg9Fx1LjahXoOpXp1vp6FZS5nil+Oq+rJm+LS2Sk4+Rqk0zP6+asQ4OyuT4viFKGBuT/xgbg1tvpW9lmn/4B/joR0Vp8fTT8uNqVVNM0tGhLq2rsB95BMplqlWTvjbgmu5uoiaJvk9Pj8iVjU4OAqlWWllB1o5aPxSLHD4sZAyZcA4OHYJqNcb5yuSkYWdquBn5sKsrCgwo79hEH/TQk2yhl3O5eNmRhEXFpdVocdvYc10iJWV5dGbNWPm09rBhZycxxbmwQDw8ad2nSfkQ5b9Nqsd+nrb7aG+tFlOUariuSg08X0Oaa4216uqeNavKOr/Zc9llbHzB5dTrKlwwNSV1brmou4DrqhfYHVlPuC7LHbI4slnAC6OcE5i3Z0IV3aGBHC8tARvlSy+fiRLCgF+1wjVai9kvW0moic+HgvJaXhaPwssmcdzQfJ5Ji4A23aQwq2/cSqogv1NEChFYRwllymsZ5eW6SZJhEycMSXkeoUWAnLRQqUm3RdIlxp4Qs+xcl6RWgK5rPCCzyJWVrvdOjdJrf6+OWXSRVWmMDRUKcUy8JFKulkEr4RgdVlZy0Qwds5bX0ldmzrWhYXtw1o/skLzJp1nfPZejXb7XipKsZ0DKvHdBq0UmnaJcVjgGnZsKQ2ZmkvT0yLwvL8OGlUimBUOPiQYEAaR0ziYMYGoKZ3iYWi3FqVOwcaPDboXUuOoqhIxYEaserfSyeTP0rUyzf3+/nL/rGrjmGmY6+rnpJqkRrFSAwetFa1ndx9NpSKXAaG1FjpqrynfLy5FC2pM9IXmyffvgwAEeeURyezfeiGjUXI7ZWUvv6H8o48r0KNa1fkNDMBXdB54n1HRuklTYkJz78nIUxUNIGKoVdX5VrzAzn1TAL3kRQXErpRL07vWgUsFTRm6vClkaAmuIcVa2h9zXCkiIQRIpMwOkM0aaFRnSXjuORG/U4ggCSKZFOXmeY3AqXjYZeYPWsJW7ybvb+0q7MjbtbLTs/n9orOXP2eNCnt5551peptVyWF5WloQCrSwvi1Vj5/DMUJbK0tI6loyl7NrdeydsRmUJ2Syzs2pjUTk9rS9bODFUpwkTBcJdFwRg79BLS7KQTUy8DUCjrS5j9bHGc+nV4PsG6W8WkXqYxcUoT2LXGMzVHOp+VNxtAEDqdy2cqLSgbQHaCC7tNNr3pp/doWWUpR2VPA+52fZjncDXx8fCmmqu7SmLXa/tlLaHaqxW9Xz2lP9b1dqtNdrXwnr31tnZCaurNMNWhJ61aum0PBvGHrtXntrBz56V71M0jIenKXrqoXSU37Il3tsthuZTtagzM0A2azhgKZWgs5PvfEfAnR0dcPVgXby7xUUoFIxntbyswo+lEtx3H1QqNHIDHD4sOkznwgcHkRID3RyvWOTRR+VnnocowpMnUY6viVwAkMvRCJN4nqp/0xfO5QywORk2TNgvCIiFWM0cBoGJnCwvY+ZABU5kqPW4vKwQ1e3lTaytyBYXiXlkdrBFA7tcV45rBFHYcHFR/VbdmEFLqmFk3dJaYRhHNbev2dhw46UL2mDVt9oMndgaX2v8/8/qeo5Gu2W6nlJ7tsNLJgnDRRxHvXQlWbrWSOffgoA4xDCQWpmuLgvqboUYQdhSNm+Wj+tIOKNJMtbHTltTrWxvrG+VQYR63nnx69jmq4ROk/qaE2SzUR7JCjsARpEaJQpRo05VRjA7K5tDrYb8QzWs+853BEI+NYV8OTMDExNks1GDZwNjVvOE7+MEDZPjawROTLmYJGk6rQ1iYx3ruUx5rVjNkZW+jF6Q2iGabkrFWGQBitXZpsT0B8Rly5Q0qPvUIbj2Be/QisOtiTaU9tzZJSGGfwCj3QC8WDiz/ftOFWNeUXVWxqhS1oBeC52dytDTH+jylGrVgEGabgr27uVYOcVczYFqlUztBDsLMremd6OSQ+PyZLPmlLgu3d3Kg9qyBQ4epFIRQEnfo18Vgdu3j7mX/RjHyile8hLpzlEsqvvTNYRhaMLgjzwiopxOwyuLJ+DLX5br3nQTc4U9uC6GDxSAyy4zraAMOlkJYLUqn193pWrT9brX8b8Pi+e1bx+mgv3opCPraGpKQrNhSKmkwqZqUWrcDuUyeJ5R3lQqMDmJ60oqtVyWefE8haS0IPwdHUTcpaiwpF7kboS27OiIG25Wz2sIpXxhaQmzH+TzyoBQa0bbN3Y43w5PWktLamLb0whhGFeIlmaz7J5o3en0hDWeNwpvPQW2Xqbu2RyzFkqzy/NYXl4y4bH2mLmiAIzeiWXda2/E86KcXMtLGS+rEUoiesMGyLgNk3yuVjH8j6pCQH6vrKlaDeaCVJRAXF4m5bUMzF3fQszLU38bxau8SVuYjFBaMX7j8egTK8Hs7rbIYAoFswMMDQmOIZslanOQzeLQoqsr5nRGkuu6NEiZnKdeEOZymq3FTZqmllqh6LyAHaLRFrEuGbE3oTbHNuY5BkH8PPbc6DltEbcu2+9Vz1UzdGJ1FSavSrSI/0+Nsf/TcaGyhPZ7c11YXl41xpWh09L9qDxh89Cfuy5yrN7IVlbAdTlzRmygJE0ol00vQtJpGrkBjk6JETY0hBhSlYrYTR39pgeXaVNYqRhDiu3bDe+klsmZrgGmKw694Wl2+Q/T112nVIJHH7U28GwWBgdpuilGR6XcQLc5+rsjA8Iv5vswPk6vWzfzkcshSszzGB8XRzBJUxJ21Sp1byvj4+reajXRRlNT5n5LJXlmvaZ9n6ijxvIyV16pGid7Kbvyw6xNY6AqQdRGmz7GiK86UP9ee26aqNx+wbpSx+bpdWjZW545lzm3ojEEYjgDO7LSwtGvH4gcfp1/c12i9aY2B22f2v3ydA69vVzZzpVHMvw8Gc8m/9Z+/MW8vjVBK0qgDAVYuQzPPEMYyj8VRWDcCm0L+9mWsA3U0C/+7FnQBzt+PfK0POm2bUIlljDFclgdHbEi5tizqWN0uyhTEOq6wnChhMl128KzbSFAwz+pwk/awurqIuIYc13GxyWB39GBLP4zZ8B1eWzCMSz4+Tyk/NNRDZfrcu6cKPr5eXWfNtmyMuucoEFnp4SS52pOzPq1aby0Q9jZKTmjVm6rSdKZtaHfrfqNnucwJB7ytY7RP7GVl/5a627JXTRl89Pdp8PQUDQZVJlliBiZVEjcWJ7zBzzWkv2LGYr6OVdXV2FlhY7VVUolK4enasEqFUOII0PH8634t1lSSoj1fGrZBssZV7GyWHRCeZJPPQX17ADpNPT6J0ShKM9nbAzI5+lbOkF/cNy0vyEU0oRDh+DYMTl/+JnPMPfbv03yyAPcdRf8yq/I7/v6RIeytCRCqarfXVda/Nx5J2KUjo9z4ICgPo+Xk/LZqVMCUlG3TBiaEhit7MpljIekwTRaQ65kejh8WNaDUz5his7DEEOiDmqe1Rw1QydSEkhNrPSSqxhDGuL0g0ZRaTnFAoTpz30/Aumo5KtZErUaTE2RcRsSvVYlRjFlq5RmR0dkpOp17fvE0hxmzwmFdSeTbsUIHOyidW0YJ2laNxyN543CWy8UdCFUZvtYb1GvdezKygqJhBSNmI3Syld0d8uku64K0+gQTxgaITW/Uy/NhoNp4W/hmDCmban5vto31CZspYVigXnXjTb9FpYwqxs1ykzdkO4qrCvowzAC1OnmdWEo9zfnJ+WiCqlQD5IGVt23cFxWf6nEg0/1cvvtEtLs667DHXfIZhiGPPFEFAI1Aq4JGcOQs2flfJrGqEky2jj1Tmr9c3mZyFPV4UND3xCFPhYW1DnUYjJrOwyhEaEITc5ETWbTy0g7FrVRassyWTttGF/KZaKNX78DfS+6AWAQQDpNtSr3EutT2eZFahlsT2k81+NSPc0VlZNzklYpDZiwpbb3TGllR0fkAQYBjI0xOCjT8s37HdOCislJeOIJkq40Mrb2X4Pw1aTHpP9f8t4/Po7rOu/+YjAYDJbD5WK5JFbQil7TIAXRkAIplAXLlEurjCvHSqo4aqIkiuu0quu0jqMkauIkal+3dVO3URPHUWolcRMldWs5URPZoWvZYmS+FiNTFiPTEiTBFEyvyRW4IJfgcjlcDheDwfvHuffOnSX4w4mU1nrv58MPgcXs7OzMvfec85znPCegVpN7madNMZqT1ycm+OyuHPv3w43jCxKZPfIIn356Ix+4fzPt6jXw8MO8tXoI34eFBaDRYD/QBJ7xb+S3f/sEx49L3dxVVylIcHaWZO9e+YwdO/jUp2RKV6sI3Pncc9TrAoMeO4ZY4uPHTUf7yy+Xc3D6NIyNsXu3/Do2hvTUi2PqdQXJK8Zmu00aHUapSpIXLsiH+D61mrJ7zSZMT+OFC8zMSB/lZlMpJs3MmH3Ho6uJpizEQoQzeqXaQ0RqYQ2i5Eobsfn5rE0xkLLl0LVaap/w/TTa7JnIGibVqSCNKGWWgB3pqT8krocuZ1hcTPOb2lHqXUPyt9fgsBdqL/PtQvmJS4kGAaIoYu+LL/LUU0+yZo2Kqsplcf+wID0rmgPkRSVporspdBAo0Zt5Vo7Zto0XX5SJMz4OTu2gvF4q0WySYSmaXlOWfJeB6kw2WwSlu4X1hKGSCQuPmqjTeG4qKvKiNrloQSZ1ZQONhvyp6CsjoIyt2XwsL11HmGNjyOotl+GOO/j0p+W7/st/iUg5HT4MY2M8dWIzzz+f3pZRf0GUMxoN6XZQ2GDY2SDf1Wsdpei2RS7NdaFcZv5Uzhhlk+fUUaLulxKroto4Jc/oyCkJ8tr+yPu6qmWTm8uQixJXPGRbuNZBSh40hVzLm+nzFQuJIQ1Z1feiTkNaOzg0pMgKVtsAk8dwLeHdV2lcKIdnO4krraHjx+ehv5+zSdqrV2Pu+p7pjXRkBFi1SqShdC9F19Ua48axcqaflYe0aZO5PxmUQcFzOtqYX16flkQo+JDxcbrbbqZWUwXh99wD+/cz/6Mf4Jd/WZZHftefwfQ0B6IN7NkDmzcDP/uz1IHNmzZx990Ah0zu65rSHFsaj8O+fTiTk/CP/zEHm3mGh2XeG1m1gQHKZdJGtDfdJJhoo8G7th3lhssOwcQEh973a3xxepTv/V5p3bclfhbe/GYOjr1dvuvDD8ta2rGDw4dl6uiG0k4s7a+IIrHElQqlUrah84FmkVpNIs3R6KBMTo39qrlmATEUC0maolHQatFtMzRkrXfSLSaKEIg6EmlDrehCoUCbfOqEqrlvO+1EEQMD6f7jxGJ8dW7QrBt9vJ4A1nrQdm31ailZ8X2rx2gQ9NQwvUYNnh6XYuT0cRcavYYwimMYGMBzE4aHE6kF2roVWi2uvFIelMboSyX1s6UcUnTbpj7t1Kns3whDNm3CqDuYrqWqXiiKgChKDamyrtbbM16QvvaVmJ/aS4wiBQW6bsqQVDCLatAuBykudX9/mlboujm649fAxAQ5t8tbKwcZnXkcqlWeveUX+YOd67nhBonubjj9uNyn3/1dzr5hCyAb0W23weZyW3a84WE5ZmqKRiONDIqFxCh3AKn3WSpx+rRcpymw1ZNdWzfthiovUt+rhdAjKY/ikDBaTsTgaCKF7+NFbTZUEoaGMN2kNTRkzq+xOrXA4zjdT+JYCCwZoooOCdW16Fyf8XyVgkYXLyXCRK++nmavk3gpx6Eu+dlnnwXP45d+7mfZvl3lof7hP4RSCWf/M0xOyjxfXJSNadmVTajjF0VlpFYzwiezs5BUNxqngFIJ9u/nmjHRgazVIJm8TuCt8Kjl+cG118Lmatd4i4/vdtizR4ggP159UmiaP/Mz/NZvySFXX42sr1tvJYoEeLixOgfDw9y2aRPcf78UTvN6XFcZmk98QqTDtm6F//Jf4B3vYGM14a675KVdu4C774ZCgc3NJ/n59wmR58u8lfkr3yrG+MMfhuee48sz6/nwh4UQ8453wHXNL0qeb+w6Gg1luBYXYccOumNbuOwyWSu+D0xO0o5EAlDnGwlDpqbUdY6NwdQUJ07IeSYmkPk3NkanMCo/v/QSRJFJFwSB7IW21q5eOys5WxpIWkpEG1XPVT2hgyCVlKNQECdHn8w6xjDMlTOv1VYM/KnSDtq6aZjWo0vOT8w+2o1T0pdJD7xW2wOdj2xyKVBmL5PzfOfWo6B3M8eh0Win8EShYNqg6InYbFoQAUAYkgR5U6Y0si5J3d8oglqNxUXxuM6cIQ2lXDeFvfy0ZYqdEDbDnkVx3PtrJrur7Ybvq41cWw2VND99WqGsvm8ip7NnMUwzL1yQSDVy6MReWr/UaHBNcJCpKSEjPPQQJNtvlgt44gkGTzS0GATT03CgkScZ3yInnZ6GXbvYXO0SRfDii3Cw5liMCPVFFL2zXBZ4VyOF2vVMgnwqMqsWjO+LcdTqVk7cpRsLq7KXpalvsmba6WgtjuVeJUE+3ZQRglGlkm0AHEWKxasjTf2HVgsvlvZN/f0pFK3nWRynNGuTnLe1PF/BoSO3C40LOY7XXXedKTzdt0/Zn7/6K/meExO89JLk2paWZN70nWyJrFyMgSP1fF+zRkXeQSBranYWJiZ4oSas22pV8lfaOdB58ZF1CY2GdACnVILpaW6uHODmsUPs3Anv+Pc3wm/+Jgu//uv8Wv3d3HUXfOhD8Bu7r4NqlWtKc4Qh1JNRCAL2vfQS/OzPKjb009Rqyjl9z3tEo6zRECXqD38YGg0eeUSCsShCrN6xYyRTN/LFPTlcF95aPsDIt78q8+Wuu0je8U6uvBIeeEBO+fnPw+/V3k53283kn/gcN5YPCqP5bW+DWg1v558xMCA2u1bDiMHPzirC2XPPQaNBsymIJb4P+/dzw6YFgkDeN1eQ9ZVrilAEV1wBrku1asCpbNorCKBSIQnyaT5RRVx6T1EyqgB0Ys8ITxBFOK0F1q7N+PKyDeo1YH+eZVFVT+A0PaM/UD1vj670CFTz0nVTBEAzuQ13omd81xq8C3mjF0u0X+y4XgN4jqGMY67dtIn1668gjgupWOvp0zQassGb/BwWs1Ztona7L6LIQIWaVz8wIBNw9WrSmaVmTc7P0nH1hNA5wQxk0N9vekh5cSdDetGJYy2MnHMVoUJfh4pwTKRCzmzsWm3CQWplnDidgAfrHnPBZlkdX/kKW8KvMjkpNuzRR5HX5+eh0+HsWdlEdDonjkkVoJXRLZXSxrA63Ov6+VQWKgzJxW2z9505g7lX57BI/VTOaGgoZbjq99mUaX28nheeK/dd5yF00tzUN1keh+umBlUvXEP71uwYdbzvW21zeubeOV71qxTi9UKZF3Iee1+XiLYMS0v8+q//erYWrdmkE3uixm8P1Rgv7ytoeHycel2ciquuIkUT1BzQeVsTnWvILPKM80AUEUUKPtPv932YmaFcFu4Kb34zOYBmk4mJVKBFQzJRpPoST02JIsfLL0uURYXJSaVTW6lwsPQmgSeXlsTLUnWwQaCiK1X79/TTprEDhjUTx3TGrmHvXpWX3vlZRo6/wOnTcuz0NOJlTk9TKkFSHhWRTtc1aIcWSLcalZgmtydOqJyhRjeUk2dQBEjX+NgY+D4j6xJG1p27x+lNRXdYiWNMlKWZkcPDMOAsmeOMLqe1GTlh23AQwhDLmmXrCvXH6kvMkMgg22dSHeDE3V7NjvR7wmun8PxS8g0XSrqv9L7zHXeO0XRdVvk+5fJoCi2ru25HU3qDzeQe4jjzzPSD7pATCSHfp+h3uOoq2TA7sScwhF8UxpOaVXlfeftGMdma1NasMbnbKMKLOyYa0++xN1s9iQwbMIrM6aMIE82cOqVgBx19WoXkmuTSKW+E178eWi2mpgRWMecYHISlJR3Q0mhIwbE3+4L8YlHatS0x9zAM8WKRPzMtpl3XBJb2PbELx/XF5fzEGMd2nHZsMPchjsVlVTdOIynnMCTj2NQIJmSZof39EnGek36wd50eIo2ea/pzLJuYmTuv5ujNe+trupjzmCgXX5dcRREGRdAIgv4uUUTagDEMhb0xOUkQSC3cNZUFkiDP47sdFirXwKpVeK2jxn4VChjI3fROVJvrmjWSQ6RQYMEfNXDoe29fYPt2+PRjRfyvfx3e9z5udr/Mk3sSye0pmLnRECbxU2/5eSbLZQ6eOsWvVX+Pf/tvr6TZhP/0+0We3Ct9F5mchKkp49j92ocF1gQkArznHo4fFzj1uvKcLIqJCZiaYmZGwfT7HxcjqCLcY8eUwTA9lhQn6+xZ2LkT/+Q8cSwB5PyazYC11yhClFa0MVCG75tb1GxCNyhmiGZdvFTuT82voSEyjO0oStWJgIyz5rqw7PRnJ6s2drFSX9HeOFbRu0IzDGlO/d2e98YB1YsQC6q0Spd6+Snn7LmZOf4aG5ca1elxKTCnfp8ZcUwnSRgaGhKGHl3ZeC+/3BDQ9CgUVDRg5ZwgzfNooNv3EbJIFNGOc5rRbZQncnFb9kp1Dq3WoDGBXn05uWircaYiYUSRihItWqTJS6lfvLhjointWReDrmEVnD2rWI56ZhYKLMQC065ZI4n93N7HIY5Jdrzd5N1LJcSF/eu/hnabKJINZmZGnUt5y0BGMsz0ybN+sbuiJ34u1QTUX0hBhvq7J0GeTiyL24k65OiQDxKTpjD3znUF0tTnUJGcvSijSBwRXbtoOrjHaRmHXcFgIkK9Eq0/6NyW56blBxkWrzXnVoJoXolhR2+w8ho6nxPputDXtwT9/fR7Xlr8r2CAOFYCwqRpOZC/d4OiTKT9+wkC2fufqRVxSLh5e0KxddC0OddzwGyCLen9psO+TuRw9qxaU7WaOIvkYPt2Ht9fpL8ffvSyL8MNN8DsLL+x763kCw733YdQKd/3Pn5++zNcdZViP7/tbWwsFOA97+HBB+GJJxa56iq4ce9vcONDHxAllnvvFabJ9ddDGOpUO7rh3fdPLfA93wMHo1Hat/8TCf8+8Qmuaz1OGMIX45sl3xdF7NghebyxMXXvFFN11F8QK3HLLVAsmrzYyHCX0VKXUkl95tatUCgYSB3fF2jETZvGGmOiIQ1VxtBspuvfqKWAIXrZmQQ92qHDkSPZNTdaTuT56jw1Vk5dKeMMDbECoSCdYxnnFqvQXTmYrmsJZ/SgKr0291yv8TVo8ODS2Zb6tUut4bOPO7O4yNBQLm14ODIC69aZ7gA2MgakXo9ShDAECys012/IhOY97ovJ62DVmLmuUWsCrJAhnUDa2BkjqXZUDeWdQ2ixXujvt86pmJ29Uavvi7FTDawNZKLJkpWKOMTs3SsvjIzwyCOSww8C9fr0tLi56oI6CJ18elptdPW6WEeD46SXoCs6lpbIEFWiKK2By/lJhmHZiRwTpGYgZr0ZqHOcOSPQazt0WGg5pi7PdFzXApIK1rGU0cR+Yhk7++GqyTEwkN5f/fH6MCfqnKPM8mqNldIEl1KasLS0JE1dHTflXxUKUC4TxwJ7aXEBPed17kVvjhquNBuadZ901Gv2OHsTiyJoNEzQ0mjI353GnOnXWKspybHZWY6qyfjww3Dq1LcEsnzwQZmIhULqB7oubNrEk/s8vvWtJd785gF+sPKMtDSvVJjf8RM8Pr1erlPPSdRlz87K+VyX3bslIgtDpKZg374MHKm/tCpjTe9JoSBkEg3ZAjgOq1YpJCOOOdTwjGNMGEKzSY5zUxd2OYdxzqziWuOcuS4DAz1KK/TYDWvf0HtOX5JKrkQRGWNkcw3MyxYMltkfLfTL1AfrtbOSRVshKtR+ofncvj7s8ZoyeBdbnOcjsawE35zvPXqcjiIGB/3UGAwMZIgg2qOP454FbI2M0dDeu1IocN0sfJMEeeNN2XJbBIGR0fJ9a7OKY4Nf2wWZObdrfkn8lHZvNnvrOvV9MBBHIMrthsKvNvqOm6dWE2PnTD8LYUinuoUXWqOGbXbbbeDte1LO85a3cHyows6dck133IFsOvv3y4eNjdGubGHXLtlLymWlf/i1r1mWCXO/lHShSU3oKLHrigajE7ZTNmUc03HzHKilm8WqVfI+L1zAFHO5LlQqHKo7HD+e7g+Li/Ko834XU/SkPJgOEmlq0YFCIe12YYbeSCxjpxd94npmI3FdztU37XWzX8WxUjnP+RzD5eVl6Oujr68v3SfVD/rStSOo/xbHWXkoixBocqt6op04kd5PE2lropby4rTNqVaR0pZmU/Jf27bRaMCttwIPP8x63+fJyo/wla8sMj7+en5+x7OSPLvzTv7roxs5exbePn5IEs47dvDf/zusW9fPvffK+9m2jbk7f5H/9b+UA/fAA2LESiVdWirzIgh4tpbnG98QQzbaekE+x3VhcpJ6Xa1vlW/UjGRTaqSfdRRZE8IxLPuFSFAgUFHhzIzZKxYX0/u/EHrUanJdG6sJplDWmoOaTNKNHTs4M4ZLR162bOHJk+meop9hN3bSEgRlYY0upzrs1CnSiK1XRMIymqYcqCepl9nf1aRxXUyd5pkzcqhBVF4rObyVvNHzmbMLjd7jLsWjxXUprF7N6dMn0y7kK/WsUN4VkK5oC0bUChy9MgH6PUFAJs+TgbmsieCQGKaf+b46F4XhCKQbBJhI0nVTGnDmg6zvYrxqBcGFoXqPKhPI+UmakK5WoVolioyTzxveYOXX3vAGuPpqTp+WxVKtQj6cSxf54KDJp2hbMjaGGKyBgWxCqCfHUCggNXFxbDYRIFWhiKTNki510xHF6dPq2jWBSGfS1Yatb8fiYrr3ZJ6Zujd6j9ZGzNw3na/SD8Fiya6AumQeb++zfjXGpaIc51sXg4ODIh6tmJdxzDnzRxurRgPT5kYrchCGJniPYzIRM4UCS0tiNPr7ya4na+io2gsX4OWXoVBgehrmGg6VijhcfOUrsGmTwJj8lSkzaJ46ZZ5ffz/yfLZuha1bOXlSDNv3bz0qH7JjB7t2qXrWPV+Ua922jS/vF0h/+3ZEcOHMGfbsERsXBMCXviRza3KSTmmDqbOl1aLr5sx00k5A181J2qDRQFus8HSfcQr0duP7aT2pRi3MDWm1CEN5u2F8296D6xoy2znQvr0PKONkJ2TXrJGlGscYWbk4VlGfPplGntQ54rhHNF/NZ4O6WOiWsX89e1FmqPc7SOlQf798/pkzVpDxWilLWIm0cj5jdSEjeDGCy/k2gyHP48yZM6JN6rpZloIeCv4D0ido1bVk0jI9hsZg2WrnlC7oakH0MP2IY8MDyJwvkavXbVmMd6z+7rlJlmBhEyrUdWbyJuq9g4NWB3Jl6UolmWjzZ/K0I4+i32E0kLzj/LxijukRBDhO2hWFQkE6U4+Py8H797NmDUYf0xgYXe+ha+CaTTw30WhOaoQRUW3tyBoL57qZ2m+dmwhDtSFoPFF3K7W+og2ZmA1d/1EZNO106NZQcUwq02bvKD35B31/HRJDyc5Adz3Hv1rjQkbvQiiI68q8iU6fTkECdSMs38TYfbA2s1bLaOQZp0xj/ooBo6OOoSFrnqrUgD6hqeUqFDNQly3UDsCxYwouOyLR0uysZK/KZfr7IZ9HDCPQueVd7N6t5uhDDwlysfWt1GrKgD76KLzudSS3/4gRlr55cgH+9E9h9WoeeURAi+/5HqQ/YKUCW7fi+8Jf0U5gs2kp8zSbMDuL61prRnlnevqXy7Kx6/o5mk2Zt+VyCuurEiJ9iwH5YWkpo/tLs8mqVeeUq2axQbX2E9IyGQ19ui7GqBgJPnUi7VzakZgNcVr/mc+xwYxzAA11TbqUKPFzGcdxYECWrqk1931e0w1gL2bM7H+XGgWez6t9av9+nn76SRwnu6np/S9xPfN7GHJOUk8HM3FMulrVMfrXEydIXWM9iZTnkonk6EEjLcunYQZtEA2NTp0vY6d7PCkn7pq9Wn+x4WHJycQxEp6p+sE8baOSYBaMm4q9nj1LhoOfzwuDrVqFg41cmrE/cwYaDUbWJVxxhYKoQP529dWpQkRGOdeyB6oWwAnbAlO6SUoWsnJF+jkpKUPMjR8eTk8WRYZwoW+N6bmnd2HLEOlmnHrBGeOoP+w83mock8lTGYhTJ+dXXP2v3LgURvNKa0uPF198DoAD3/wmrmvBWKdP274JIHlesHI56nutWoVxmkwUHwQQhkKYwnqfEh+3EQstkBDHyFwpFATCD49qGUupaSsUeMc7AK6Xt95+O/nJSSiXueoq2LgRMU7IFDtxQtW9qYruXLTA7bdDbt+XxWJ93/eZlnbVKhxsFeHHfgyaTd73PjGM3/wmwtycmoJ6HWfPlxkbk+B2ftVG4liM6tgYxko7JGK4KhVTJKdL0aJI5u3wsCIEua7U1JVKJheoIXmQ67rsMlLMX7PqrD1AO2m9OTWTT1f5bjt6z0xLVzpUDA5i1oaZ6upcOT9Jr1etCd9X+2ehYHpL6qVlQ+Nm7fi+0QR1Yimj0mvHXr7GSe/J4b36buOrNGxWmf4dstqZ5xvnI6+c7z29nwXAwABO3zKFgqAaG8fH4cwZqlXxdI4dg5GhmFJJfs+vK5h8TM7tsmqVEE/E4FkP1HVZtSrdR5MgL81LwxC/IPmznJuFMbT+pQnCdCShvBtbqzez4UYRg4M5A7nnK26aM1KyULq/q7RAKhJHsmakhsqVkonIIRe3yTUOkvN98Mu8MCOyQtUq3Dh21EgaJe/5Jxw7Bv21aXbskAUyMrAAtZYcvH0782fynK7J/rB9O4yWE6i30i9YKpEUihw7Bsdn5BzbtiGd5+uRWdDFoAuh+i6FooE4+/vFOAWB3MeR1cYyiev90kumLGK1m3qy+p/nJqCdGLU6u0GRZj2DFgGKEWvrvllGUs8p89ziGN0g1nXTOkfbw341xvkMWe9r5/v8w4cPw8AAf/zgg/zcv/qn0tP17/09eP55nNkDjI9vNg7ZwACc7UquD9+Xnb7V4uq3SXB/8iS03SJ5vytqM0ET9u0jPzbGgZbI422o+FJ4HeRlzsQx1bWSQ/bcBKamaJOXvFRlvbThUS13uO8+9n0aNm0aE/jxllvQzRp/MPpjpletgltvZf4f/yK7PydF4Zs2QXv8TeSPHYOHH2aLppu+//28MOtRLUiOsNWSoO9f3H8/fOlLvGv1l3nXPWU6lc089dx1XDZ5HRtmviiyZNu2sWuX3M/bboPvH1eyX/USnW1vZ2a/msaFgjiDrsvAt7/NxsuP0vXX02qJgVy1SkTQnclJY0DCEFOuE8eCzm7fjszDSoWFOE/Rb8kDqVSY3a2k/dyjELp0g6I0U1WhYeJ6xJGNEnkmGiwUoF0XrzkoqwnR5xvNUPOcleezbp2XEZmN1byIrLWg/xeCXZRxFLtuzoheFFXzbLdQNIQ8h4TYlXKkxPdeOxHexeCXC0Vw5/NoL/YeMxRYvZT0EUXLEoUcOwbDw2ZTXb0aE+EMD5ORxOriGYZTJq+mruHkSTl8aAic5lFjgExJAdmoUjtjrovpyabDef26gR8sw9p1c5w8mW7SxlBaMkC60DrnJ+TcLmfOyLpsR56p/cn5SeqRK0+tXJZSpXIZFtz1HCy9iXZpI870s4z8v3/Cqu4JjhyBz3wGnpwpygXMzsKuXYycPojvp4L788ecTL0hzSZO/RAjAwsG3pmdhWenlRqLtuDaeDebch+RNa8aNaQeopuT76tzeBaTx06f6fts6hgtCNgLFwzLTgfkzabVvUG/aFM4MXut8ZydqGMQTEPJtnIVf9fjUozsQH8fxDHv/RcfSAWU9++X949tpl5P88SuC4PuUnpu1erc0gEXZyoMpZt5HEO1SlJabwIUajWS0nrpflCvw6c+xdCQdCt4Zr8jiIPb4bqxNt4n/4AD9RzvffBGeN/74M47+ePbP8stt4is60//+1H4yZ+UB3H4sOzqDz7IyL/9F7zznfDAA0v8wi/UVd4PSTTu3g0f/Sg89BCnTgnf6qGHjNiSkFs+9zkYG+PJ5maee07uyYZCW76vouH6vgRvYQgH2ShKRFFEbv+TTEwohMd1jdB6ODDMgdZ6PLpsaD1LpSLB6MwMMq9efJFiQRRnqFYhDNlckfm0bx9i+aKIYnxUJmcgHciVb0e3sJ6OX5TppnOovp8p7tZ7jM771eugm3M6YZt8kJLptI9n9jcNWVr5AdvA2ekDA0LpNab+qNHuYkH2nG6Qpi50EKDX7MrO22twrBTlnS+qO9+4WG3e+rVrue22nyCK+oS9pOQkGg0hQWjDZDYzK4djw3yuS0qBV4nzDInKwioXF9NN0IYvHZIsWmZtkqz0kjq5HXQYmE5NMCfq4MRdOpFo6yU40Grp0p5USFbv7JFEVlrIuVhIKIaHyNGhVpP9z3URCaSXXoLBQb7xDZOPT/NnR47A7KypL5qeVpASpAtHZ+LrdVw3LUkwskX2zbBzEda90D90IietctDfxaJs65yczTkyUbSds43jjLHT93ZFJFI9DE3AMx0G1HXbz/PViurscTFm88WOu/Z7r4ck4Y1vvDolCr38sqHfh6Fy+lDQpvK6neZRwftcl5mZVNdYdwwxz84iBAGSxwlFXUczn7Q/WSphDESbPIyN4boqD9doiMXcupVaTV77vu/DKKNw1VVyAoW7Hj8O0Oayyyr8u3u7Yl3e/364/34JiR58kBs2LdBswp//uXzPH99xVP7+xjfyXx8Z5b//d7E9I099VkpvXv96eNvb6MQe3/M9ErwVCmJDP/lJ0AWJ3uwLnD0r4ggg3ylYtSzGse7BxAQnTqQymqgoe6Gl2upoopbrMjtrtR2q11N8OQhwSEyW48QJBQyRZNeQWjD6GeK6pjuBvZbw/bSIXeXs7KFbYaWYowztUOvr0H8yqSGLsepEHTw3yZRn6WNtFMSsp9cKacUe30nd3aW871Le27e8TF9fX+/9PKc9ignr9Yiklc+JE/Jgc3HbqIu03SKLi2nnbuMNqQ3bdBhWeHiCY3J8PekkdZF9Bu/X8J1hWoERXjX2QGeu1QuJ65mICEgLvjl3008KRQ7VHU6fVl644kwvRGIAy2VSDb9NmwgTSWiXy3DllaQRsMIatVhzHJOqNWhDpzGNatWUFpivZUd2+otZha+Q7qO6Fuyc8gF1w7Qu39JSuriDwOpqAKnHEAQZu2pDoJlr8aXERBf66rRmppAeJ5Py683XvhrjUtjJ51sTg4OD8vekm80jq40RMmlRFmMFaepWGJOT7N8vtmZsDIMyEMeZ+kZFpjT3slxWJ772WlotMSyVCjA4SBLkDWFJC/JQrcKdd/JMY5QgkLTau6bmZK5efjns2CEh16ZNMDVFswlve9swH/kIEiLdeSeP1zbKdT39NACHwqKJam+5BTFqlQr81E+xf78ydvPPiqNXKEiUVakQx2JA8n7X+I1RRLoGe3NgrssyadmHfhaFgnQ4YWkJymVqNXWvGw0IQxZCz3Q8MQK+dhI7jo1tHBiQ1ko25Kifu71P2OVKQYBJ3JsGyL0Ot/ocjTTZi6SXP2BPcRO1WRGibdT0scaxtM4RRRYKZo3XhMG7FMO2Yh7uIsdfaHTjmIEBL92MlZVavVpyStrTMZ2WdUWu8lZWr1beaBRlXtdGrb8fgQesUCGz39m/uFYnY/20VSiiN2yH5JyIRP93DvSgPs8hMXqQYYhhzuk93hyvCnaV1qxs3pUKC8EGWi1hqd04pT7/2mth61YWF2WxVqswsrqTrrhqFSYmmJ+XzzWSYdoz1S5ttWpIKKBygSOkdLdCgU6wPmUytFr4fhqt6edshGh16FYogOeZe6qPHR4WcWijQmMkRbLPwl7rmc1fez7WAtTRo/FGe4Zt9M555q/guNQSnvMhJrrwPI77UwUh1bJ89erUeXNdeWwD7nI6n9RzrFTE5rgu2fuq4HXfl2ewuIghXi0uYogtmWe7bh1xrHoU7t9Pzk/YvRvaY9fB0hLXlee4/XY5/Wf3jTL/lnfJyR96SAzb7t3Q388jj8CXvjQrkZfvw733cnPrz2Qu/sAPwN//+6aa5vhxheKOj4sB/c3f5I47BMU5GFwD/+gfyZyZmYHZWc6cUcLPrkcxmmPbNhVYjo/LvzhOSTxqvvclS0xMiPqK01pgaUkQ0vkzeSNGqyXYtBOm15jvk4rg6nvruiJdiDyzYqGnyFv9s9eBnr5nz8qhpg5ZOcPm+ZXLJpDUJRIarge5n7bhsvtcanJOhkCjsU57ryPNqetG1Pb2t9JyeU0YvN5xvoJy/fNKx9rjfLm89AHFtMKQIFhjWHx6phUKYsz0BNHQZuJ65kmq4IQgENxcJ97zvmDjq1aJ99SNnXSSuqLGkPMTs3toI6Y1IzMTRM1MnTsx+SDLg1xoOQYTN9Gf3aooikyHgDBERJuRtZV3O0Ytd64prKliNCd6mHHMgXqOfftk0o30HVXtpiGZupGFwkaGhoRoMj5OakDKZahWWYilzc74uDjERbedeqblMkl1I/PL65lrOKZk6s1vVp0ndPFfocCpU0qLVOXQ9LPRm6Op1bGxykKBpQGfhZZjAo1SSUV1dkTrekKBt3KLmiFn3b40Srf+aUOrqfZxTOr0uK5RhdFOeBSpufAqMTUvpSxH/1vp2G7Ugb4+BgaGKBTUnFP3RUfFZj243RRmqlalLlPprW7aJHtjUh6V76vo805rwchoDQykN3p+Xl1AvU6lkmo5G0dI1/nFMbt3i0gKYQgf/CDvGn+BRkNIKR/6kDrnJz4hsnfT0zA0pIgZdR577Fv878Z1UKsR//APixzYyAj88i/z+c/LW3fskGf/ZHOznPQzn+Hm2d/jttvEjv7e7s0cjDdIpLdzJyNDbRoNtSyCgOsmE266iZTIo1CYl1+GbnmDySM4tYNGRKG/X9Inzz+PJMyDgNFSV3KoKuHpxF22bpVTJkEeJiZIKhtMhKen5dq1mKgwM5HVMTrX7LoYONn3SeuQFZ7vulKOoJmUpohdIVU5P5VZ1HuWXoLa+XOiDk7Yxom7sm/aLDBSQ6bl+Mzepj7f8vfPsXq9INh37Tgfy3Ilr3SlHN+FmGi9r/UNDLDc3883vrGPzZs3ylNV3R8DP0W5wDdUW1M/B/i9dz0IDEkkHyTkA+szXTFCnchJH6AdpqtErvGI9C+uCydPsno16edrT0mNgrpOUSXAEE708HyZPaMFDGQxf0wEX0dLrikWj5WOZqUySj6KYGaGzWNjgCSU59esZ2RSdj2ntUARmOs7S7ksG9Rcw2F0ctLQpItum2JVvudCnOdQK0954jrx2FWOa2DAYWgIRktCPFloOcwfcxipVk1OcfVqkVNzS6N4boIbWwr5aNw/hxeoF9T9cSzbor1JTycYQLxZ3xej5+cMehBHqXeqa/vimHTzUPdQwzQOEXlFHNDzwJ4vHl28IG12eY6A9as4zhftrbTOIrW7rFnjMz6ujNLEhJmbY2NqQwUTURQLCeBLY9RSiXKcTk/pqp1jIcrhlzfKJlmvU/R9uoX1dIMNad5Vbcq5+gGmpjbj+9ApbGHvbrh5qiJz9LHHmJx8Jzt3wi33/2eK9/0K3HEH/+6ee2jc/m4+9zn4tSuu4YN7vwq7vihdYD/6UX7Pf4CPnv4i27bp1N3jfP9Hn00h9c9/nl+6agmuAm69lZ+/x+HFF+HG33q/GMSbbqLkiii2KRe4+mpYt44kyHPLLbopa8hc6Rp27YJKxePm7ROwbx/XBAHJxBbqdSiVNqhWDhgHeF0B02+zGzt4UaSQjPVAYPYBuxJhriHPdVTNxzCUw0YGFmC+CePjso6GQecijh0T9uyaNUrYIQzJVwIKBVFmYXAQqlU6kUMcpkTkTG46nSwGUrIzDvqQOEY2SPXHGI84dsgpg6bnpTA4xQLHeICH50qBfKmUstZfMyzN3tFr2HojtJXq8y52nvMd7zgO9PXx13/9VTydN1UQglm0l8CoO+e8KxldNRP0Jm1waZuJiHhHzaZiT+qQ7MwZk6frRI70cNPnjqSAU4sj47omUjSTpSchpX/t7yfDzNDeVBCQ/mAZ4tWr1XfxU29g2RO1DRtlMUXlWMdj5dhUONqJHAoFlW+IYxZajkFEzT1REZ7vp8xVGwpxSLIIo/VLH8smwgLJHdkdJsz9U8Qe9WsvymyYsdoDNTkO67nqYc/VXujaIRGD/Xfonp4v6ltpXne7Xejvx3Gc1BlXobGOkoeHU29+2bE6fFr3Xa+b+VM5Gg0o+h1yM88YXcpnG+vZvVvy3+UyXDeZCETo+yRjm40CUBSp+jQtwnrTTTQaCi1oHRTs9JZbYGJCV8KY3owMDMh7ymX4e3/PyJLddZesryfDawSa+NKX4I/+SF6cmuKzOx1qNdVUdu9eGBoykP7m0gKjrRdkDk9M0Nn2dnbvVjdvzx7Yu9fU18UxaZqjUklr3/RQRo0oyhgMDbV3C+sFSlTQgHaWSiVw6ocIgmxDatdVtXNWOGZY5Wozs+XvNAqR4JiojLNnodHQQZb5Z/R97U3FCulspxKsVkHWnMj46OrADHLSu+ist2fmmpm/r4Gx0qK8EEOzF6a8EGyzkkHqU8WM1errVxZtXuEzVxorwqxxD+uyZ5dzXVJoTREgjh1L5R/zfjfDxGqHjmkUHsfKe9bQhYqMFlqOiSxyruS0bDFr00IEgeCGhzGLsuMXzf7gNOZQN4b5Uzl8HzZWuuSiBRJfPPYOOXBd+lgmCMTT96K2XGvkpQZbLVgz4Q1PWb6aYQOq3JzOh60I3FuWTp9Gd0d24m7WEvo+y/SR4NgfmXaY6HECtKNgf5TeiIzzYzVuNY6EOo/u3qyvpSfNZzaXvwu25vnGxQrTBwYGIElYXl5ONy0r8ZPJQ9rDOsbuiLFunSVFpxvXtVqMjUmUcfaspGrnjznojqe67OTll8U+Li0hBu/UKV6o55mdFdSPT31KEm47dvCsex2zswJH/vgdCUW/I5ZSdbznzW/m0UflEicnRfP1xq3qWV59tbxx61ZwXUZG5DInJkAzR3RZTSYnGUUGwR8tqdzx2Bj79okhHxtD1m8QMH8mb4hdueYh6HTShHu5zOysSVebNW2MpmpiF8cYmT5tOVwXU4JjlxFkIHPtnFqwp0040ZkRIx2myHh6vWjIPuNQBgHtMHW4tbOtrznTqsyC93v3YGPn1MH6PInrZchgxpm3xmvC4F2oJu9C7/mbbiK1Wg2Wl3nppRkWFxcz/eNsL0ePlTz23ms3VGAkmjBSSGp311FKqwULFFlw1wv81jzKSN/RNCeIZ3JhDA4a9qKZfHoiu9lCZo2d2/qQXTyBKWKZPB5dkzvW4Zuyu1k41fcZHobRQsfAP7WaVCM0m5jo1KkfMhTLduQZwwyYFWWCKmsBBoGleVgqmQVj8gnKCx4eztYtajbamTNqMWjJen2zNUxpTRutz2dyaHpVW9G13rd15wnb4Hl0zXfRjozN7NT3Xk8aY1jUXLAZcjbn6NUcKzmBF1orzz0nSisf/KWfAyxloSg6J7rOrA3tUbguR44oJ6Zex9n1RZyZF1iIcjz1NY8nZ4oc9LeQ8xNuGHiGDTNfZGM14ZvfhO62myXiiiKuGe+a9kNRhCSu3vxm1q4VY3Xz9kTghttuY27i7UxPi7jBu2/vCFFFF7/edJOEfaptl36e3uwLUlk+OytrbPt2kolroFDg7FmjHCZ/933THKGLJ8b3iScgDA051STFSiVRgkGhHWohaCk1UwKkjBRBwFzDMXBkqYS5qZYPYXpOGmfCiqSp1+Fb34IoYn4eDtYcQwAy89GadFGUjcBspT9dX6U/V895vVz02tVz2WySVumCvUdm6k/tA1ZaBGofW5GoEsf0xYvZw/n/6Thfgt7+/3zHv+51rzOSNSdOLBBF4KmH6LlS6X++8wAGmwYrv6Z+0bBiECgh3CiSkoXIM/R7k3fTC0axJF3XIlf4PstOv81RkYnYSqHInkuS76ANBoBqKaTvQI4YL2xJzrG0XiZZS3UaaM6ZqM/Q6slBQeqIymXZEDw3gcg1fc465IiUvSmXVZlGvWmS7seOyR7lWREYkYJJYymd0N9PyiFaJrSSNeLgurlMfi0IOEfMOfFFcQZ1LUIccQEnva82VS0IpOVSmL6k12bv//p6tLCvpz3sKMIrFNQ8yUaLaYVRNqj8v3GMVjZAfz+NI0cYGpINdjQIjDMxOFg0hm5x0SqN0vceJ43qarH8MD5Oc1bUU7TsY4KDY9XsTE7mZE4rGqJeO4bz0arA7bdz9iz86I8iNMpt23iWa/BDUThxXeiSozl+s8yLb3wjDbXGx9kap82Lv9zcwtQtW6Trx549MDZGXN3MiRMOg4NGnAduuIH21NuJH1ZdQvZ+Wb7AVVfRLaynoJef70tIWK1yRWip2ik+gO9aOeeWK+xh5XFa2gVpPoueCCkITJsdfYxbKqZwoLKEYahq/UqY/LR+UxLkiVtp+Ywemgx35gxGSy8z39VeiO+Y1wznK7CPy0KQoPci+dnktK1FoNey3v+0s6ml/TJG77XSLeFSx8q+6sr5vgvlLWwvt6+vz9zIQqGYUvStDct2TM5J3FpYs+3N22xLj24aMZHapwzOrz4zwWrrYWFpZ8/KnjM4qJiOOtMfSJsfDQsWC4kYVzWBOn6RhUgWQTHoSi7F7dIhx1y8nnack35jM89QKolDeygelQuYncWZPQBgIBcTAeovoKDBrpsz6Kvvqwa4WiPTdWmHDvPzghAlQd5Uohf9jrmVcWz0dlOvWZ1Dd3bQUG8QyMIwHrNluOJYjsnTpn8xxTI1fNohl75HrSovliayK9VARpHsm504q7Nq4CTLHdUszHMcJJVntYLyV3WslOe+GJwJUFZyN+9+97tN1GE8sCAwAgt6CQx6y2lUrZw13ydVVrGgNw3HFVmQeaUcoUNNqe9kelqMTxSZxgKf+pRiP953H/Fb3sKGQpvt2+FHPnIdVCpc8/C/YfOH301u7+Pcdx/87M+KLTRR0Isvwoc/DB//ONPT0gHo0UfVRtw6muJ5zSZe1GZkdYeBAQkS9+wBzp4lX3s2zQtqWrASd9aOK9PT8NhjMDvL7t3wm7+pjn/sMdizhzhOS+eIIjEsKuG9Zk2aygdStAIl1KDYLCOrpRRAN6ZVAaW8cfVqKBRScomeyDryjmPjpMSxMm5xbNATUDW6XqobvOJ8Ug/ekLj0+S1ETBstEKdYzzoxdl1rI7WMmrpe2xibKNPtKcMy8/o1Ps4Hz9hQ4sUWtG0MzVARnucppeBzki/nGT1QognfSd+eSciqyWInbzOwmOuaDt5O2JbzF4q0I5Ev830VDekukHFM4qeGZnGRVIzZMhQG97cWQM5P0gjJFfdTG5pyGdk1FJzz3HPyY38/OLMHcOqHCEM41MzJwYuLeK2jpm7o1Cno+MW0XqPZJB8dzXSP18Z6/pRcf+J6eFGbyy9PRYlty2AJppgfMjlX7YnGHbPZdv08SwO+1H+pBWfuvd7oMrIfcmptXHvhbPt9TtxNIR0rpyEIQSIqEpIxNQs8cb2V4ZpXeFwI3bjY8H0fHIcb3vyW1LmxrLSNTg0MwDJ9mbWS6eShd7Nm0zz7RkNgfCoVuZd797LBPypkC1W7MteSCL1cFvWSt2+X/Jg7NcVnd+eJoufkI++/H/79v4eZGebfeDO/+qsn2L1bUNHRXX9sBBPYuhV+6Id49FFTG8/N5RdER8z34e67Se56r5Tq7N3L5KS1EbdaUKvh+6pMYnISrr6arpujWoXNhaOMBm15Q7UK5bJBU0fLCbp3lu6iYFRSWi1ZY80mS0vpkm40MIYwHyQmIk6fj9xaTTSJIvWiCtOU3UstsWX47DybWTtuWt9r8usqhxdFwhvA9w3ZSi8KXaNsnrPrGoOaOX8cG0KYYZdb/3rXQS8BLY6tffW12gD2Qnm87yTKu1DJQu/oiZZXHOezgfbr5jMVaSEMFStQY/aKkZXZUHUuKZIebx1yBupxWgvkg8Qw1ppNMgrpTthmzRo5xfHjVksVdU5dqxZF6jqsmWQ+P4qg0TCLy+j3KbbBpk2C1qxbh2Gc6XRZJ3Jk5wtD8tFRNgQLDA/LXvPMtCd1QlEEtRqjhU6qgl+pQLnM0pJSjlE5x6Ehc7pMxaqmgnt0SfycUUAzDTL1JqLJKBZVWj933fInk3s4z9ALXh8yNJSFqzMP3XJyzMs2drmCA/VqRniXujZWyud1QiEd5XK57EkvdP3WfAO1qft+Khzgpq2cDNChN+RymaS0XvrF1euwb58GFwxaYHLZaJBkVPJrYShdE+64g/l52LRpmO3bIR8vpJh3oYCt4K5Jk8ZLVJJdMzMqkhwbw9n7JD/8w+otqrNCoZB2J6dUMhri1Ovyz/dFzqxcplpV+T/NQhkbM3m9VatIGSJW301tN6KITK+rcll9pqLM2uTn3nyejsx8n0zu3lacWLfOMubqfTpf7bqcsxFqh7x3nmiHx/zSMz8yKIb9ixXdZT6j17sknVYmaOgZrxmDB5euGGF7s73HrlQa0Ov9drsp664/y3o9/7Bu/oWiSf0MXZfUwgWB2ZNVf9TM5piJYvSkjR1jGMzxlvemqcZBkIoo6wXvurLIjKe4EqbWM9EGB0kvvFQyMJXTmDPaiJqUEkVIfYy27s0mHl0DT2q2nt4MTb5CWW8N0WidwbzbMV0dDNvMSuLjSrG3TUTrhVt6F6iGGHWnbgOR6F1G3Q/NshwYSJ+NPsRA3Yo5pAlA9kLu3Wx6jaJNgLmUUpfvZFyKcVvp+N7rCNVzWrVqVXaPseaI/fWShMx3NZF4qyVaqkFA2y2aORQEaf2XTtYa5FOxJ3Sna98XKLnRUOf75jfVNHpJ/p+eJvnSl+DMGXbuhJdekrwje/YIlNnfL710hoYgDFm1KrVxLC4aY7UQ59m9W03RXbvgoYcYGBDd6IP+FghDtlTajI+Lwn87GCUMFWyr9fCUYTtUFwGFyUnkb6tWMccozz8v63Ck76h8bl+feJBBKjuW2fPVTu+6pHPUgg2hx6AoWqRxKBRjLAzlmm2M0jwu9YHGcNkH2I9cwfHmsyAtrTGLI4tauW7aDDbBoRP1zMEVDJx+TV+fDcEC5xjjV9Fn/LsbFyKgrHSsPl7n5lZ63wUhTovGl4HIVryuixeym+G6hgRhyCeuyP80GvJAKxWVR1CGRSd1hZDSAkQRRTeCLBQgRweaLeMqt+OcSbEYSnOrJefz86axpFkc2jCFIflCgU7s4Sk19rilClfXJfANca8TP2f0+zaUbU8yx+KimuTdbuqFBgHzJzwWF5WKSziHPkGHnMlD5tSstj1/rRpdqGyRTUkZ7aS0nvqMXluORL2+T74shs2JOunCs4yd68oa0QvQGDtL4FtfVyR7ram3M8Qg6+YlvhhlXYhuNgoFiTquK2QhKx8r382DuMcOvsI0TXuua9j+Uo7vHX0WbNQLIesf7Q3Xccg4GpF+ls2mQA5BwPR0iviZTVJHHfU6XhThBxtMZPPyy4bhb4ye1jmTZdGW23f4MA1gdH6eBgAHqdcvkzfPz8OWLTLZ1O65erXUkBcKiLFRMl/aXlWrwL46hKGphT12DDZaTpeGEY3TVqsZMlonWM/MjNj5chkTyek5PjxMGvVqUVzfx43SdPjatUAQmw8yjoBSg9YSX4q4nUZ4ykAODubSPJnvEzWzCil62hn4Ur3dBMGDg4YtncL/kYHkHWsSuKqBrD4wUoGr6TPZkyoQf1GdoxcViVZGW86e5VyDrMZrIsK7lPyc/nc+D/ZSIB09/N7s7ApD48grwVArkWK0V2OovhpHKZXMWtf7oo4uTFI3bKedvkvrDXTieUrKSYdVvm8MSBxL3ivvWkLIhQLNpqgqgHx8Lm5nNnqjUK52YgMRauw0js3iNrepVGIhyuG6suhy4VF0+NkNisw1PY4fF4dzbIy0hYIl+Ly0hDFm2tHPRQuGFZNJq6mo1/dlUZoI1rXyp3rBq3+6ZKDVElsM8j6P7rmFdeqhLlqM5xUQGgxbtXdd2tinbQkUpNp7zlcjuusdtvN3PhjzfGmB1UpZQEd6i4srf4b+qn0or1t9Z+N4gZFkUeg8YahQFH1jDE8/JWLguiagyQcJXtxJa8bKZaanARYl2pqZkW95ww3q9TzbtiGO08iIJLS0AKjvEwRw/fWqvm5sTArWx8bYUEk0cikXODnJ178ua+raa0GLyxoIEbUeNK6uJPJcV9KQ69ZZ30cVhI+MWKIMNsKi8mU6zz40RCqqjkWUUcNuQWWKyC3iyNmzSrBC3XRDwnKldVYUWY2SLcx+aUl9N437W5eqj7MRDZ2Ptue/IbJgrR/LsPm+Nfete7DSvtqbEcB1z4HgXhMGT4/vxGj1vqf3uPMZRHv05EPNuECaJwO1ZY5zpchy3TrlbC4WZbY3GjizB0weq1ZD2p64Lk5rIdMvLymtz8CeRthVhx9qEaxaJb8uLfVAFzaTUF+qDRG2WjhxV3J7schqua40WzY9fCoVg9isWYMhw2jx+/l5aPvr0UVGXrjAaDlh7VpLYqhcls3F6tg86i9As8lC6FGvK0aXsbZyzWvXYgxgrWZaraWYVJyKy9r3PXE90xmhv185Cr4lpGs/MDermGL3NTReMqmx03/TpzH5Q33O87BRzrGJK1rOV3ZcyKhe6G/Lff2ZYwYGWHFHMpefJOnfm02CQDFhK5vF2NRqXDPWoVKRafX881aeWVNySQUEbF1GbV0MRFetKlWTLjt2wCEUrHXVVQppj8RODA6Kp3fkiOCSYcgXZzbwiU/IdW92D0pR3fg4yfgWmJ1lY/OrUhD+trcx/6MfYO9ekdH07v4XEMf8xv0en/ykLOPRmcflHL4vBevbtuG0FvAe+xylkjRf2LtX3bfZWTaWOwwPK+OlOrjT7Zq5HMdpKtB1SWnKKp1gyFW+b7qd2OpBJlepcn6uS2aP0GQRvcSGhhRSpBxn7WDGMQKJWCxN85wtA51Ze+qHxPVMdGc0ZXtg1JV+MYdYOKb+s2Z6nm+8pgzepRi23oV7MQ+21yBCCmmeQ1r5DjYkexPMGNaoQ6EgRK25qCib/0svkZt5hmpVJvju3XCgnpPZs2ePrJY4ZnpamM6qUwgDydnUvQwCur4oN2io85xODqROlIFqNR7j+0bDTx/jkNjz02CkzaawFlevRnasb30LJ+rQasn1NxqkmIN6cWRdYvYz7eVmhvJItfd5+rS67oEBaLUIAtW3tSc3YKINtQG4rnzk/AmVmI8inOZRiYRJe7/aBibxc+lmEEVG9V1/hYy6iDKKhg1Hep8GBiyopTcn6mZ7eek/m8uwEzGv8LgUZGSl4/To6pZRnjUZLnSttr5hJALlcayalFar8sNDD1Euw1/8hRAjjx1DcmWf/7zReNyzJ21+Oj6u/CP1nI8dQ4rHJyYUd+VKRgsdYiAHUCqpgOiIzMfjx6X24OhRg6XOzMDhw4uGuMnDD8MjjxCGML9msyTdlCc3MtSmWlVtMcfH4aWXeMtb5FR796oC+UJBFuiuXTA7K8zTt72NVkucxmqVzDqzIy2zKBVuaDtTUUTaTkk5ELiu4eprf1Xnm43DF8cQhkZQAjB1rZ1ImJa+j9HjtQ3Y4KD1iPv6wPcz/qGdt7NhUCMYEaS9+DJsanWBtmRfJpenDtSomP1ZOi2pvpa857XYDw8unIBfCUJcyfhdaNiL/NSpU4A8Z82E1BuSTsz2rvcMlEbqDWccdzWxc26XQkE25k5hVJ5ivU4+XjCvz85CtzQq76vVYHYW102JZE7cTXfiHogAUu/MwH26Rx4pAaTRgI6bl4NnZ6HRoBM5pllngsOovyACuK0WTE3x1It5wlBgnVxNOiewaRPtOMeqVaapBGeTgbRSV3GrSyWLtlwqQbnM4qISGj5HVNDqQOG65AO5753YIwnyBEHKPTDKM66L05gTBRhESLcbFOVkymjqfSVxPbNyMn0ELXUUDaMNDCgI289lFp+eB3Z95TkEFfsf1oZhTQkzfy4BSv+bjEtdC+dbN5/57Gehr4+fv/sD5nEacchmE9dN/S7XhaVEpNsM8tBsMj4uxxwqXCPPfv9+vNkXuOIKeX33bgRX1MWl+/czOSnz8KC7mShSBi+KYHqakZMH4LbbeOHWX8T34V//6y3wwQ+yAcj9t//Gp7+ygbExeNvbfpD3vQ+Juu66K30W/f3ccANcffUA+/fDF2c3yrV+8IPkf/s/8Pzz8N73e/zxI2p9fOhD/Jt7OoQhfHnyA/DP/hk3DB/g39xxgGpVavn+eKdyYJVBLzYP8MxMjocekkd7++3Iotu2jYN1j0pFdUnXbbG0ukKpZKDQ8XH1EMbHTdeVyy/HkGK6bs5MXUj9V6JIeRHCaNX5RYckZXYjJBvtDJrOBepkpZJCVZaXTWTpupZIg0rT6NyrE3dZvRrzmk7JaNTRdcngkr1AiPlFD+UEJzh21gbVnlHe81ovPL+USO58ubuVjlvJaJ4+fdr83NdneT/WbtWLhJ1vQ9Fv6/VgzjlI/U0bqiDAaFBy2WWGgp0RYx4YSBP9cWyKmGGFbsXWta8ExaW7tZxS170lhaLxSKnXueIKTK8vI+Veq5EPEq0xm+2Tpckgrms4CwmO8dQHBmCh5RgP1os7ZgM18IhKlPT3GwlBokgmfj5I0oJ7Hdb6PiPrEhPhJqX1JKX15v6pOloxhr6fFrPrPKlSZdFJ+pUiMc9N7FtmPGs7p2GGWrjaq7WdoDNnrILdVzjC63UQ9f/nJVVZx9rHHT58GICrtmw575wxpATOcboNdBbHymiphsid6hYOH5bXrr8e0abTTVTHxxkclH1+Y1XudaMB3crGdN7t38+WaodGQzr/cMMNHAD49/+eq66Cp59u86UvPSNQ4q5d8Id/KO9btQpe/3pefjm1NdUq0spoYgK+/W3e+MbU8aTVEjHpWo39+xVTs+6J97lnDxsrXb0MZOG+9JKEpkHAvn0S9LVasKHcletoNNi/Xxn5KBID2WgYdSJ1ywC5ZwYmV/nNgQEMaqPnoXWr056C6gS90ZWez7qeTtfgRhEm76ALz0+exKAs2lE2Ig1xLPwC28Ejjc503vz0aauA3oJGNDHNgCHWOWwH0O6zF0XisJqc46tZh9fX13dbX1/f7/f19X26r6/v7X19fQ+of7N9fX1X9vX1jfb19f2Pvr6+P+7r63ubes8v9PX13d/X1/e7fX3ny4pdfFwIxrzYAu59z8WGNnjLy/LPdcmw7OActOqSrtcMK89nNvVTpzKT0USVFsyg83ZxrLwxDR1ZeSL9o4HW7E3UijIGB618r65Pcl1TfL56tUSH9Tq8UM/LAtuzh9H6VxkeFnToi/vXy/t274Zdu0x0Wq9Du60KzUF2jelpgkD+NjOD8fyLgTLS+otbCii695l+fXhYCndHhiXP+PWvw4FZJ/0MVR4xf8xhriFRl9NawKkfwmktaESI06fllIZxaRcyqTpGjXBqQoBZsOoG26LQXtwxbz9zxtLltMNAa7PRz0D/bDrdrzSR/hbDNnJ6XCjaWwn2BPjp970Plpe565/9c8JQedj2bkXahCCKpAGs+Qxl3XXKCTAOQC5aYGBA5sOxY0h0p8pYiCJjkGg28cKFdCoXCgI3NpvwwANceSUcObKXA9f/BC6wr1bjmuf+B7AKeJiPfhS5zpkZ+Yxvfxt27SII4MiRF3j66dNsrnTgk5+U7/Se9/CNb0i+7j3vQazhf/tvfLG+hVtvhY/d+kU27vsT5sZv5g/4J/zZTo9bb4V77kH0K3/gB0RzLAx573u63HabTM2PPeAJDPvEE7xrh8yxJ2fXq1bqiDeo5nG5LPdr3z4Fo+pcge/LNHfdVEyC1I709yvUIwikWDYIyIVHhfnt+3RdyctrJKYdeXT8IglOKqAepULRYYh4MGGYMToZAV+r1nWlSM1O9dmG2F4LZp72bqxqDfUup3RC95bWvIJjeXn5keXl5X8GvA/40eXl5fcBHwCeX15e/gbwT4GPAO8B/llfX58HXLe8vPx+4Dlg29/m8y+Uv+v9/UKe7EoL3j62lJH/sIZ1py/kjNubxjmfqR6ofnitFiohNwCNhpbZo9GAgw2lWnLmDNRqVCrG2Uo34B7ihWbia4ewHeeEuKJxDPXGs2ctbN3efWMRb9aizGaj0p0/azUmJuTX2VlEwmJsDI4d45qxjkl7nDmjDNvEhFHQKMZHmZhQtkVV7c6f8Dh1Crk+FWVZNbHy3moVSiUxUDMzMDNDoSCs7FpNIjidf9OF6oZYZn2vFe2Jqwpx9QPROYaeOZIhg9lsS7WhnzOn7DC6hyygP0qnYeJY7pcucXilh762SzF0K43BwUFIEpPb7qWE99aqLqP8WiuU1VBUvY480yiC/fvZulUO2b0bVaiGPOPp6TTn25vzKhSEddhqwfS0ikaOsm8frNcX8Zd/yY/9WD9Q4aWX2tLw7sd+TCKCBx+Ej39cGMO0gef437tzkmhT8/CtU12+f4eIVXcn38QzXMfu3SpCffBB2L+fWg1TXjExodbMVVfB3/t7Mmdfegkeeoht2+R7P/QQEr1+85vwF39BtSpr6IV6XtZ5t5tK75HxQ00Jhp3f643YXFfKHIJAFebb3YrV87CRCY8uZ85Y24LF7LTS1SZkd+hpYeW6GZhfO+X6jVqGMQjk2UcRaQF9FJFzu5lrt9NA9meYyFEhWIODlpPYY/BeWZcxHfcCv6N+vg34jPq5AhxeXl5OVDC3Fjim/vZt9Xcz+vr6/gHwD97+9rfTPH6c55+fNpRms2js47mw9MlK77nUYX/uUrzI6dOnWaaPEyeacl1nOuA4LA/OSeTgyL8kkf/7UMVdjnNOj6bMtScJJAlLzgCnTkkE2RnsQC4HCwssD01TLEoU8q1vQWeNI7M4imDfV1lcznH6NBw4AGF4kq+/dJB+ZzllYwwMsOz0E8eKpSmtzFjlnpWw68gRyL/M6e6AgQY8T7xyzp6V6+vvlwsbHGTuSB9nzsD06mXI5+WY+a+xadMAZ8/CU9+CVW94g7z+9NOcDdZKjixpcuLENPueAV9zpWdnYfU8y/QxfXKZxbiPMJQN9FjcMoW/YZAwNCQO73MD0Bcvsny6I8roCwuwtMRyn8Pq1XLLn3kG/CSSa//mN1lyBswi6k8W03vz8sucTQY4c6bJSy9NM+jJNSwtgT+4LFG2LrY6dIjlQdEr1QuwXhedyGX66HbluQ84Sh2jv59F5J42GupzbbaiZQCXnX4zH852+0wqdm7uEuapWjNvfetbmX7+eZbpu+Caycy9v8FYpo+XZmc5HUXMzr7E0lKLxUVYFaplvbxMeKYf1xVbsrwMYdhk+vnnFW7WhlaLVvcovi/BVbtcliTw8eNs3DjNP/yHMgeebEB+bEzmX7PJmpFp4himn1tiiX6OHhUHJz+0CO7L8lwvv5yJq6b5qZ86y/z8NEf/+T+n3e0yffnl/PDkNL6/CXiJv/zKICPvfCfNMGT6n/5TudCXn+Cnfmo1cIK5uWmmf/RH5QNOn5bOB4ODBttvNvsoFmXddd/yFtUfcJqtW+Xav/GN9BEPrFkjc6Kr8uwH97FjhzAf//prMPjGN0qtZ0fW+vHjMD3YoRkETGt17uf+mmJxkKuukkudbreltqHV4uTpaaaflznH3ByOIznrl16Szz91CjqnlwWP1Bai2xWv6sgRzjLIoCve7ul4kG5X5l6watlEakvLcu9PnIDluMX02bMsn+5w+rR83zlXnonjQN/Jlmw2S0ssOQP0x7Lelr1BU467vCzzI5eDvq5aj64r+6Wat33JEjgOS4n83s+StKVyBzJ/j87Kmj127Nw5/4oaPAVJfgT4/PLy8jPq5TuAn1Q/14FKX1+fSj5xHNHoBtgAPGufb3l5+QvAF37u537+50pr17LljRMr5h3ON1bK4+nXe997IShzpWNXrVrFMn3k8yXe+MYJKQ9wRceyN7djvBPlFiV+Lstosj9fHdMhZ9SHNnDICFa2XzfBqVNihKpV2FhqY7rQlst0C+sNmnTgwDTl8gTr1inFE5XHSoK8iQLjWJyqfDgnMy4IYGyMuYZAcqtWiT316GZyYfocC6oZ58TyszLDpqZ4tv9ajh0Th/yGdQfh22dhfJzu+DU0m5JyrNXk2kyvLyWE2A2Kcr/itJN5oQDOzAtiIKameHyPx/IyXHMNQk5YlUsbqNVq4PscjDeYnNB1k4npUUahQNfPE8fK49Y3wXXp+nmaTTh7dpqrrpog53ZNfy0vXDCQKJUKSaGY6UOovW1HMRb1M9Zagonr0WrJ/jY8rM5n5zYUq0ULWeu5oYREWL0aQx640NBr5t3vfvfPTbzxjZn883eCaPQe33sO+/elxS6rfJ/Nm6/k6NFRLr8cRubVOcfHmWt6Gbjp5ZenmXjjlrQIu1zmmVqRdhu+93sh96Vvyw74utfx1PIEUQSvf70qT6Fo9FrnNk2IsEJ4lIOhFHBfeaVaLyAdwufn+bVvTvCpTx3kr/5qgtLP/y5loPRHf8THvjDBH/6hw003beHvX7sADz/JtOMw8fzzctM/9jEefqfUjt16K0yUFtLW31EEq1eTvPFqsdunJDB7+9th4ou/B2NjPJlMmMazm8ttun5eCB379sHrXieL6/Bh2LKF//yxHMeOwYc+BN7Xvwqvfz0H/AnWr5c5nGscZPrIESb6+mT9Xfu9PPsNefvll8NE/lnxFsbGeKFRZEtwSNjbb34zX310lEJBEEwQh2tjqS2R8vr1JJUNMm8V+3Uh9GQux13akWc6EeSDRO59FLFQmWB+XmxsEnaYKJVolzZSr1u1thq50HW1Y2O0Q0dqf+PY7CHaoTNzXG+gvghC6F/ttQRqrWk2mFowncjRym+USuc6c680aeVngB3A7X19fe/r6+vbCBxdXl7WLI//Bvwi8AngE8vLy13gmb6+vt8Crgb2XOoHrWSEzleHd6Hj9c/2cSsRVuzjY+WqaZYmcA7x45xhQ1hc4FC12ykiaCaJz/i4LrWhWlUae/pkFkFAbyxLS0rP0VYbV3CbJq34vmoaqwplqVRYaDmG4zE8nE40vbMnQd5AdoWCFMjqPl1MTrJ/v/xtagrBoo4dg0qF6WlZL4cPi+3aWE3IzT4rLxYKHAqL1GrqeSgFFS0sq+naC6Ewyi6/HEYGFoyc/ELosRB6hrVz7JhcbrVKKrLouiRBPpUq08P3jbGLY1VzFImUle4DaLyIUomkUDTlHTrfWShY8leKhBFFkq/r4mXKFIwqjl0t74tCjX6fTR8fGrIEBP4W42JOXW9Ob6XjV65H7QPHIUkE0jJ1eGqSazX+zJy3MTFVoO37srHr+jnGxkzEMDKihJWtwu2ZGXWPwpA4lrm6odRJ2S8DA1AuS7kDA9xYnWMa6ALJne/m93+/Dsxy223AffdJ4vnsWbmQm27iN+73OHXq61Sr8K7qM/DRj8r8v/UHhUUTBEb/VhNbzHotl9m1S2xKuQxMT0ueTLON9QQsl3mhlmN2VoyHN/Os4KCuy9e+JlM35ycie9ZuSxRWKDA7a2yPBJmHDxsNUsPCVCoWut+zTaIy8HyjIcQStb66dmMq9cC0kpCZlFYdnuumz1KnouOY7ATWz1v/11OSs7TUUxBveXz6Vpn1Gvf0jFR/SHBM3jyO0znXy5B6RSO85eXljwEf63n5fdbf54B397znN17Ja9DjUjzbld5zKWPpQnpilzhsLz4T3QG4rlEi1xFDRuVEDbsDsX6f/tXaRzOc8MT1jHxZf786hz5Y7Uq2UoYxdtbQMllDQxgCi850d90cg4PKy4vbxohqgopmNR89ivle+g9xwxLpVdJix4+LU725XDI6mjpdYTaPIDCiwUUrJWE2WUvbKY4thqp6CImf9rXTqlLnHb6fkYrSebaMU+FKzy7SjzBr0yxqbUCtxPtKw/A+LpQUfgWHbfRWKvVZaWiu2fLy8kV5NSv9XRfyZ9rWmIRcWl9l5qnqSO5G6b0xBAo7ga0cFCHX5mFmhhiBlLT6Clwmos0Ph5iW6ooIJez7VWKwlJGlUqHVgqJFNnLCJpWKlAjV61BUpQPaiOdpZ5XfLTIPvp9RrePwYfmsIOD0aSW+3mplUhIUCjRmUxr+unXAt1PmeGYEQcbBc6IOq1blshM4COjGDp6bdrbQKJieszJvuahjb76a+g4JDo79fSFj/BTaL3sdSWYN6XIeM2+sNSDzk9TYknYVMU4XvDbr8L7TZHsvVHMhsstKC35QF3pgsV4vsGGt9PfzEST0MGxLTVSwVE56gsXMC5rgsKJXbRlEXQRt5qHFZlGasumwPLukIM08161TkSGSE7Br1K64QtUHhaFYvqkp6nXZ0DRHpb9fsRVVvV0HYYeNlhOMNpotzWS5p8qGogVGu6VR6nWL0RqLBmKppGAYjTlaX+ocMg5pTV3mINtTVWxNXSag13EQkIFG9TyJY7k3WptUw54po4jM4o6iVCnCDtqN0/G3rMO7kEN3MYTkQsf09/dDXx9Li2ez8/08ayIjLWYZNcPGNZI7cuu1k2QEAJSidxAo9Q8ldmC6BGjSi0Id5HaXJMoCvHe8Q/rWsZbh4esFiRgZEYKVrqg2xKO1MpdLJXjjGyGOKbIg59cMstlZ8vECS0uq9GDbNiiXGR8X0iX1uqQjglH5floGrFyGiQmOHJHTb9uG/G18nIPxBnxfvTYzk9YCKVKHXseZOaXoxcZhXb2auYbDiRNKYq8xl85l7bX60pjY6GuqW9iNxeEpFARdyERm6sN1xwTzLNX1eHHHrAWzzpBzZpSG1DD7kCWS0Q5TY2s+0gohMxGemzaBtfdGJ+6+NuvwVoIh7XE+1uVKNOtLKUo/a+Q4UngTyMCV5zVornvBc+v6lXXrZG4fO4YkAcplqNfZXOmwdq08WMOOVB4lcUw+SFi9WuCdQVci0W5QNEXeHl2KhcTuoiPNVatVIzWUp02pJN7XQsuRv7uuUPKjtA6ui0cQwMiQ8mAnJti3T65rfByRmKjXIQg0eZJWS7Q/B5YiWRhqZ/d9Szw3CKBaZa4lEF+phBG4zsAyytpomxSGGKNraqd0l1tlWDVkCVJn1Ik9bVvNv754MbtylKapHWVr+bYg6MklKCN95kwqLD00ZB1ryY/p43UXBfsjtaHLwMkXC5/+D405xaap1+vpJVrGWTsR+isYIoH6ok7YplIR52ChvEUe3te+BrVapu40jpFJompOXRdTy+n7Kr2gIGejuTU1xeLiIsPDV8LOnVJocsst/PZvA7zA5CR4D/4efOELKT64fTtMTXHqFFxxxbAYHRAijdLuZHYWajWpVVM1AhMT6mtv28ZcYYteEqKG1GymiLSqW2wXNnDI3cjJk3Lc1BQGzq3VlPFoHBKPyXUlV18uG0hdQ/bFoJuNGsGyhJj2Wfh+WoHeaonOX5S2HuvGjskZawPjhLK2XdcqC3B7etKpz+69BKIoNX6FAidOKN6b2nM9N0lVXPSIpVhdG68MUmUjUerY3uux0ZQsFqr+znf50BHaxertLlZqcKG8Re+xgAntzp7tEMeI4r32PM53HT0RwEqf4ZAy94JARShAUtlgnu+I22VkmPTBq64JcQyu2nf1xuqEbTzjMYnqQs5NcMK2SCy5Lt04Rxg6+L5HTk0sL+4wsi71/nw/j6eMcT5I4Q7XBWOtXJc3vMG63zt2GLjk1lvlmrp4LIR5IkTIOudLXsYJQzyd5B4fpxs79J8Qwzla6kJDvqfOLbouRj0ljsXZLpUwmEYqy6R+UO159KZrLyRdHOupPNqSM2AcCB196e/uhG1Ghv2e5+iaZ2CU/8kilkbRJiaNNn1fKbqkx9qQks1+svU7/y7HSsSV3vHM/q9DXx//z4c+xP/4n7vTAmXlifh+9tpNeyBtyTB9UCXvOXEdnpIQedeYQPpdV0TPS6Uc3rZtJIUiYxHgiiOzVcObiAElCOD97+dQtJ5f/mX4h/8Q+E8Btyjdyx9qgOtOSYnbxB2073ivXNwX/lSMWRzzSz+zg6GhHDMz8D/dzWzdupnNFVX6cviwCCoo6G5+1UZqNSV+XijQf4pUXHrbNigU2FDowP4a3HQTTE4SYKZ7WiHwkz8JpRKTERT9DtQjOd514StfgTg2TuD27WJ/u3h4ExOmtdLQEMZR0yUR4+NAFNEOHebnYaRQMMln3YLPax3FLa2n2VRpCp33LgkRzqAlvg8tIZ+NjMCxb5OJOo2TaJXbEIasq4ih1nuc2bNsJ0kFBOvWpU5gZt6riNR1kWxjHJvIUfMNFlqClnSD3Dk1Mt/1Ed5KxbOwsuLKxaLAlYguKx3reZ4JlXO51fLA1A6qDUEcn2eDuMCudd6cY+97bA9Hfa6dHjB9qNTES3DIBwnFgtTYJEjUlgR5Ej+H5yYUgy45P6GLZ14njsm53YymX9fN0Q4d6STQnCMfJMyf8GiXNoLvMzLUFjIJInKtoQkNbXhxR4rJB5bwfdV3rrSebmmUNnkxAK0WXusoI8NSV9OJPePie27CmTMqulWW6xz4VekJtlqwEOfPUaew1yOQrYOLOlIyoIzNQktYX+3QSTdpXYunujLrxQvZenL9Wfq5dmOJKE14rRa3rnny6K4YxK0kZvB3NewVcz4kpVhYA0nCD73rh03eysjpBAGnTmWnrPlBhxYqKtbPBTBvSHypE/XcxAj6aKSh0VD1ZI1G6sSEIR03z7PNUYhjNuz6A+66C/7yL5H6uPe8h5G+o/zavR3uvVeiwoU4z5kzEoi1LrtKqsnrdfjN3+S228Rg9PenbXW649dIW3UFZ7J/P6tXm6APZmcZef5xxsdVrnB8XIziqZygNaUS7VAcSW/6Gd5aeoG3vEVs6EKwgQ65FPrTE0onMgsFckg9qyYmm/q1K66gi5fJ+RYLiQFvcNMcHYUCXHUVSXVj6neo+1oopHW22qE8cyareFQuy49DQ0hJg1Xv14mlifNClEvXjVovxUJiGmPa3dTDUIrcu24ujQDpknO75IMkDQTU9YQhBuuOYzHQuqWaXtt6z8rO59fI6F2KKxmrC8GWF4JFe49fVhIrl112OXGs4BmLFKEXtZ107XVXMh7veR6DwanJhvcZt8j6e0aCKgylGBjHiMEaIkLcNWSYMJTNPHE9E9mZ+2JNsCiS6/TcJC0eVd/x+HGVe9JK9nHMobrD7KycItc8hNc6SidymGvlZNNPEmOYHRKz2Zt8XRQZVuKpU+paFLNRS5QlQR6iiLwrSiYG0lSLK6Pe0WrhITlQLT3mkAizUjP/kA12kQESP5d5LkFAKoWmjGHXzdGOPNphyg5zXUzxrllr1jOK4x4ZuZ6EbGZ9qshOn/uCUPjfwTjf+tm6dSssLXHbbT9Es6lo5rrbL5haRZ1nyfTDU/c9DAW58+JO2u/Rdc1zPFR3zrkHgqwk8LWv4TUO8dxzcKCRT+9hswkPPcTGSpdf/dUlfvHDebFA27bBRz7Cvn0SJf3ETwgs//3f+h0Kx79pSluYnOSjHxUC59AQXBd/FR5+GK9+UM5fqYg13L7dQJATExhx6FoNHnkEDtYc2LePkdMHxRiMiwRbvnVIorYw5AtfEHschpD70ucY+eaTzDU9nqxv4EBNyZS9/DI895yB6Ws1QX7rdYz8nVEHsiIr31dtrwrrDRlb33cnluJ5L07LaUwuHEw7LrDeZxm3ZhOThrHnvHbkgoB0zfi+GE1ljXRwoJ+lRG1dnLCNE3dJXI/E9UwzZv05FloLZNHcJBC2tema8FokrcDfLMK7mDG0I65Mvk9V769du968dyW82D63GSttbOozOpFQa524ayjuiSt0e83jcBpzpoHkQugxf0aiKN+HkdUdvOacEY49mwxw7Ji8L+cnKW0+jo0epPbuDBtUz2QUpV5FLjlfDFSCkxpehf9rij7NpsAqYZjtjKCMVS5uG8miJWeAuaZ8rwRHlBX8JC2RULQ1m6CmcxA6XWbnw+JYSVop5mbXzRk6NmB0kIJAoA/XJZtLU0K7UaREA6xnZkoOdN2C79OJPU6cSBeWdsLt9xlvWhmuc4ayAr3fQ88H0z+Mnuv9v2z0q9qc5ByRTBl2XmVgQBUI64lXqZDgsKGSpMiAv14igygi8XNGz9LUIapJZ/JFl10GlYpusZgSu557Dl56iUMND5g16Vxeegn27qVUgihaFAHqZl5ydN0u7Nwp5TTr1rF/f8qD0cnp+VUb5YKOHRP1h9lZ3cZPbLyqG9I1aRsLC1AqcZCNIuy++3Fye74o63jTJjoTb2J2NpW+BTLzvFwGw8paWoJSyYjEG1lfq7A2jskwga3uWGgk01gJZUDSGgPLsBUKzDXEYR4aUkbRckIzeryK5KOvWef9zLDnruVILy729E/s2UczcYJZUNk/enRl3VnXYIj0r1WDdz7jdD5YsndcjPBib2TLCs6cmroxPbD3YZxvrHCM/mS9gLt4JlHlhG2KvsAMi4uQlEdNvqxYSExbnRMnlGirpS3pebKIFhfTdh+A5KKUDM/iotUwUrvhcSqFZUd3+n1m81WTNoPda0o5su6Ngn2pRMeVGjiHhH5n2bDvtLHtRI5IQunrtDxJwOgorlqlZNF000p1HcYwhiFe1DbIYYJjyAx6XWs4xXyAqrlzXSV2o7xPc39slk8kskfDwyrXQaorqJ0Efc1O3F1RiiwDV1kWQV9DbyQTRaxsNF+hcbH1caH3dLtd6Oujv38Q1z23Du+c4SiYywrB5485UroSx+T9VOTcCdsGyuziSbQkml9iHLR+VxybxuAaINB9tgT6U3lE30dTeKUCYoDrr4eNla6sq40bJew7dQoeeojt2+Vce/eC1jkbGVDOz/CwVMQDI2cPmf597NgBhQITE0oNTV1Uo6H+bpLQMnJul0pFakt9H9MJeXZW5fGjozIJ8nmDY1YqomWt+2SaJHak+tJpmL7VyshaxrEyknq9k13/Jh0CRgpscFAcuw45Y5H13HddjIK+Ha1p+NTcc/WLPSU0aUXrrBokx5xEhplKPUiJXj92Z5Oc3yNv9mpqaf7fMHphzQv9/XyMzJUYnPb/uu7omWe+mi1LOE/0lvn7RXJ4eiNuh45oXILAdn7XKJR3/byIukZihHJ0GFmXpBNdZcD7WDYRTc5P6fmGdYmsrQzrEVa8RuNhkZ18OgIx1OggMJ0HymXV0cF1Tfdyc2+U52V+Vz8YaroqIB8clAJ1Gg3RSPTXc/KkfF4eIZvoYtlCAWNc589IXqZUUlGxKk7WxqMbKxjX3piV0XOcdFHpekhz8Xojcd3Mc9bwjd0eKgxV/tGCfDKRqbqHBq7x/XNQB33ev2VFwqsy9Hrw1cXFcZQW/Fr3VddZZZ69/rvqEjE/r7RXowj27cOrHQBgLswzPW34EzIX9u+HKBIor1yGtWvpxB6lkuz7Ht00F7htG3/6pwAD/OzPIn16CgW4+24eeEA+bvt2xKLNzkpx9+ysyJLcdx+f/KTAlP/i9qOwbx/zl1/Hs/WiRID33Qf1Ok/138ivPLCBmRn4wJ0L8M53QqvFhz4E99+PTIQ//VNuHF9gcBDmyteRbL9ZvpRqNrtnDzz1lHLEVGPLVauU0LqvFECt1uVhiBHP9n0w1l6RUAhDtPqCjgbhXONBsynkGIBKRZxIyDi0oPYQ3QDWdTlxwtJNsBrA2uc324hOF7ii2qIXoY0W6X1KTaiMGpVxANWayaQK1Od08QxfIcPkPmfOvkZGL+NyJbjyQuN8x5zX8+3r4+WX6xc85zlO7kUiwATHkDzyrsplKBxi/kQKa3pxhzxtmYAIg02ro5iN1II3TA5PS/KoDdcWijUGwPLGzunt1wO7gWxmpixRuZHaK49jlWcrFAw06rqYa+u9N/pabcM7PEyKxyjVCF3XZtfIaYRMY5inT8u/xcX0OJvwEkUqsrQlIxSjFOv0mejS1mMjm5fSx9p5CZNbyJzImhi2FVDPrRdK11/xAoj5KzIutD4uhpA4al4tLi6mpLgVIrzMS/oH12X+hEezCddMJGJIoohOZTOP78uzf7/AghuiAzi1g8byzfkbRXw8imBoCNeVAMxrHeVAzUubtrqugrdKIq116pQYyfFxZmbkEVSrCGOk0UhxuvFxvrjLoVZTf9+5Ex59lKUlRUSpVo20ytJSWiLHzIy0aF9cZGZGUnSMjUkYU6tx/fVp9yK7NlTP/W4sUC61mm7+LoZdQ5SqMF2nk/XS0GU7CU4658FEZBY4kTV4ZtGJ0VClecbgZeBG0vfpvKw5l5WLtWv6TANYG+WwyolsxafMnLIQJr2u7AnkuUlmLRoU6iLjwjvwd9nojchW+luvIewdvTm/3vdACmm++c1vOUcJXg97rZvrsuGCns9qh47JVeRrz8pMn5zkqSMb+OY3BcJ467ZEEuJhCFu3cogNpn61VCKVwFL5r0UGjB5nMehCs5UNF+IYz3VNHZjrQs53MxPYDfLnfLE4Qmj6wOmWkr4Kj4rnvXYt7eo17NyZ4vkbwjpeo0FRhysTE9SPDfLswwLL3HA1QvH2/bT9S7nMXLye6WmoVtezueJDs8nmsQIHa+LF0QpN5HbihFxyTn1oq5mt79Z5n3Xritaix0RWHXI062pxJaJ1WQQKFVGIoZ4mKLpBkUY9VboolVR+SeVMvCAgdh3zsarHNnGo4NQ4MjJQFAo41mrPEJ3o8XD/Dw2bBLbSiDohOA65XC57z9XQXTeMfVchdOLnODa4gZdfhpsnjsLdH4Yrr+SLhR/hgTvhhhvgl36uK20EZmfhttuY8zcS+uv52hNKYURFNl7rKEXfp+Ov56EHtJzXF+Cxx+j/YYBvMz19JW/VOL6i7E9Nwc1b2/DoAAvv+AmOPzcti/CRR3j7Bxe49daiUPonJmBsTPdapnPbm8hV9sDDD3NjEPCG9/w8P/Mz8L+33sj333cfbNrErbdasOsb3yjlFlEH70tfoqjyjtxzD0+9VKRUUgZ79gWZULfeyv6HheC5hRckAh0dhde/nnYwyv7dch2VikJ4d86YZ3XypAOvD2BoiC6eKudAsbFj2q4HUZxaLOWdenGH4WGlAavKbCCtWzUJ+0KBGKt1neNYhfpaLamJVyoBqTVLcFhaEuc757qy/kgvw4k6ZlHpPSmDDCjvu5czYYNnevsLArVmXqs5PD3OtzFcKiHlUs57RjEV/vzPH04PWAHSdEhW9Mwz16hC+1pNEIhi66As8FOn+HJtA7/1WzIH3lo9JDSuKIKpKdqFDWZCmPM3GkbguO2vN8pblQqyOsKQrptj/phjjJpW+PB9tWnrkyrD6MRdk3LoujnmGmKYiWPT9HF8HOF0nzrFwpvfyT33iF2+7TbY8NB/lusGmJigM3YNj+92OHRI7NrVVyOwzu7dGOtcrdIub2bvXtkr1qwB0ykzitLUj+Wdnj5t5QBc1xR/Dw8jJ1Hhsc4V2OotHXLG/lQqMHCmbZhwRulFu6GlEidOpBGl8R+0NiZC3240MHR8K5jJClbroX7uIkQYraNqjJ3KA6ZsoVd2XGwNXCg1AGl/SNf1s5uTK0w8W/XHRgtaLelZWC4DH/oQPPYYB77vX/IP/sESQQC/NPE5mTtTU5IXUyiA1vAeH0c0JlstuoX1zJ/JMzsrvKmtW4Hf/m1arRa/+7sAf0QYwnSrRbR/P/PHpEv21q3ICW+9lV/9VWm2we//Ps8+8QTs28euXTK19UJ68EH5PTfzDHzwg/Dxj8OZM3zuc/CnfypRnc2iLBSAP/9zeP55whDmWrkUu1PoQq0mvmKrhdAu9+4F12V6WhXTa0w3lzNF6Tqyq1altIHZWVi1imenZS8hjuHIETy6JhLUCycT4dmeuZstKNfiLb6PkOE0fqpgUxPhKYhaR2vGcOlzW9Gf3fPQ98UZMlGkxXrRU90uXdA8AvPHjDU8F0Qhjl87ObzzGbYLMTG/k/Pov60EdeqcRV8fnDixkIbbPTDdip/da/0sKG9oiBSL37SJffvk9clJZBGEIYyN0S2N4roiF3TqlBzuxZ1UlbxSscugjFoCrksYWuQOdS2GbaU24nao2JnKhdNU/hMn5HwbSh2z67iumpTj4/DTP83DD4vRuO8+GP3D/yCGautWXijfzB8/kufhh+Wto6Pwgfcn5B76AznG92HrVg7EG3nqyAb27pWXbr0VRr7xZaOqf6iZMx6rlo5SOtNpwW2pRBQJec+bfUHO32zSCdaze7dssouLZMSbg0BkzbyWEvksl2m7Eg3mg8REZF0/f26HhLBtWG1dP8/iYoYVnnUo9AuWJ9TFoxOLwLQt0+opgQCbWft/etiOoh6dSJCLz/z5p89JU+vj9ev23/RGZ57lZZcJOYRE1E1efjmFL8Bs1rWa6KuOBm1RC6lWzb2bnZXnfl3rcRaAws/9HF/60p8Dq/j+ff+OhwEfsa9PP/1tajVoV7ZwqJnjh34INoVfY+/MDCXg3+19O6dOPSxr40tfgkKBmRnVj/WDH2R6cVHSDXf9Kv/0n54G5vn52w+x8B//I93qZv7wD2fZtQv4y7+k80u/RHHXn7BvH3z68I0cLFwnF/uwOM1PPLEkxvLll8X527OHctkiwUxMQKcDs7O4rtjAWk0Jt+/aJRZz3TqTiiQMpa8Qln+ljIWBLFstY5znmh5zTYGmc36SSRUAVsdlaLtFs00BsqE0m6nItO3QaU9HpSOiKCuEHsdKi7a1YNI37dBJ11CclnqZFIS2tMph1TZQ++qGX+a65xg8l+/ScT425Up/uxCM2Zv7O9859e8JDnZj9oEBMVhe5j1O5mfjCekRx+B6ylB6hC3V+sQ9CrUQ3v9+nom2UCrJwryucFAW/uSk4Bex/mzJrRtEbGzMEB98XxxCoVPHYiiDIn6sFBzCiKRQpNnoUQJB8ofg0g2KxpPcUO6atiyd8kZahS2qtc9RiFzm127hqZ3wPd8D7538KnxiJ1x5Jd1/9avs2gXRjCGXijrEoQZ8+M/kw++5h2eaG2jtkfuwaVMKR44GbQOjMD5OfVoMfZ62ybU09lqTXMGi3/u9RcknNV3RQHz96w3xIQi0GHGsyiF8yYhGDrkgQHdwzlcKxLHkVfNjYwKdRW3K5bS9kskbKoNnSRqaz8kHybnRmdoQEj/HiWPpy/39VpuUcGVP9u969KIhvePll1+Gvj7+7M/+jLf9/Z8mDKGoK/+jCBCYLOcnRDic7fbRIcfZszJfvMc+Jw/+nnvY/xD82I8NsGMHUB+X9+/fL8Xa1Ws4/KIsA0HLXKmp80Wa7qWXSDsb7NxD8Zvf5Mfv3QjUWVr6IT7Z38cU8Cu/vMwD//GjwO184hOQ+8THyG/dyobFE0x/9atMDQzA7Cz/z+uWgCkxvhPfB3HMo49Cbu/jsDNm4qab4L77+MIXYNOmVfT3r6JdgOJP/RTse5IvfOFGxVK+j5xq7/WD4VfB9znkXsOTY++GMViqwWc+088PTh2FB4H77uNQ9a1MxEpuLFQ/fPOb5ruOj8ucv/ZaYH4c7rwTJiao1NScdF2oVuniMTKiomjXNfJ63uysWM1bb+Wpp+WZXnutHNIOHfKBTzFaoFgCIjfNWaqUhp6SpRIcOiiei0EztHcTRXTcPDnFql1zpqcGkITBQdkfk0LR7EGuazFAcSFWa6gpTnsSSHsvT50nUsLRGm3Rxs9zoTcJ+V1r8HrH+Yza+Yyfzby8GJTT69W+8MIL5pjVq61CV983uHdvPZadsLXPq42TFHMHZgFPyF4uDCR/I161as4nqhwxOR9TT9f1c3gluZA4lom4cHxZPlcX98Taa3IzpQN6YiUqX6cxci/uMFr2aYdSLpAflw0oF7fJBdCN89Ra6ymXYaR5gB+ccGmXNnKo9SZKH3wTubiNFy7w/TsCI4114oR456dXl+Geewx97LrqglxIFEGhRLPpSOlRJc/msTEhA9RqvOEN1zA/L+oYRaVhWK2up14Xu1NUM35AOwE6OigUKAWywS4tqfq5ofUEJfEu81HLuIfLawpGys3YGu21uC6+r0Su9dDccNfFj8Qgnz2bto5KsJTd1RzQ+Tvt4dqQXy8sqKHBV4u0spITeCHHsPe1wQH5ovf9xkf114KG7EBdN2faKBHH+L6nUz7GAeId75DdttnkQx8SlLJSAUqTLMR5Yb/WD5KnzfXX53HiLgfrHgcbOTYCNJucGklzTc/E13HdthbcfTf/8yMf4VOfGhJi1vXX8+jTT/Nrl/8O0z9wN3/xF23uuAM++9FbZfPXCbGpKdi7l5/7uR/h4x+vpNFCFNGKgambyd0xa/rzvPvOhDB02LVLAqa8moO1mszJLTtkwycIJKKbmWHDXSWi0qghYLVa0AnWk1O1PFpQOlc/ICepVIRBGgRUqwLFhqFEeZtvvVWcgm99i+9/W5VnZnJyc8fGiGNTpmhUaOp1ZE2dOQOuy6ZNimEcLtANigoMUnk2AN+nHYmCi9c4RBEYG9tgvp9eN2Z+BoFofgZ5ciQwUwffZ7iS58QJIbI5ah9cSazdt9qPpfNeujnYh3rqmQQFc5km2nNdNT97SBbftZDmSuN8TMuL5e8udrw+Vo+xsTFYXmZZNQF34i46Xj9xQk0CFYcbgp5+EtoricjIUXlukgnT9fvyQWJUELqxYzbNDjk65HDiLnlfauO6CM1esyuX6UtZh4qlGMekdHx7xPG5987aaDObvjKWHl1d6iOvNxrk/a40ZH5OMTSVJxlFsqfMz8viW9XXSXvwqYK8jpuXkoYwZGzMlFuJZ1kqQRiausNmEyN2rdSOBJ3xfWg0KMZH5Z4ExYzC/OnTcu8HBqTbgy5Z0IvWOCxxN8tS1XRWBUHb9zXN3suxZ8+mNcK+ryDPnt532h3VL9m5PvuZ2HPvbxvkXSwNsNJxl5IW2Lx5MywtsW7dOmo15UwoByUM5UedQ/LijnSB15/VFCbygj9Kd/wa8kHCDdd2pZzF1BaQqeOk1aJSUbdHeWy6vMZE+tu2iVXYuZOf/MnXs7gYwUMPMQnw6U9zzz0Aq9i9G5LqRoEFH3gAikX4yEfgttuoVkXGslxGvsD+/YwyJ8/s1lsFalS44/bt8tn79iGfW6txyy1yeUmQTydooQB33sn/3j/KzAzccG2XH586yLvvULWH27fTGb+Ob3xDwZkgVM+dO+HsWdqVLezdawCFVAHoyBEz4RoNRMasUCDnJ0bsATBSgfi+hFG+n4pFrzTB1Nx2XUvOy/cNwdTkt1stin4njS7VemuHjnlGuu7OiTqmHEX7uMeOCUcA1zU1wg4JTtQh58pa1GvGGFa1jixf1PwzqFXP+K4weEkim3ccZxdgr8drmykjR9Pzem9ubyWv+WJ5wIFBcSV9P5clAfWQVnRU0/sZNrqlbWCmLoz0wXVjh8TPGdaSPpmxnerAjGFVuLeSuEuTvXHapFGzAeM4G8H2XosdcWQMpe+bxqaui2F3tCOP/fslFeE05kzN1HPPSRqy1VJ98hZU8W6hwPyZPAdrjumkwOwsTu0gritpg4UoLXglDFm7FjaPJQZinZ6WTdV1kR+UUn4YKkdCOSOaV+K6CtZtCJ7bKW1gfrEoItGto/QtHDf5CruG6ZzyAn0DlROg9RFBiDaFgvp8TeW0LbMKSXWZhE57GMOX+SX9uEsdmg2nS1I6kWOu73z/2qFzzr8LHa+v6cTJs7C8zK/92n9Kc9EApZLJxcSxcj4sRqruBNGJPWo1UrKFIlh1Iid9XWlyaufKcBdUjzpNzFCoXYqdT02xcyfAGXjkEZ5Rc/fuuwH+NadOfR3nkT/j0G//NtHv/z709dGZvJFfu8/jZ3/2NI89Fkmd3q23wn338UJrlLvvhqcOj8qF7d4N5TIPPiif/+O3LIjhvPNOJibgwx8G5+E/EbjmnntgaopffGAjd98tkSz79knXhUjWErOz5JqHmJ0Vu/vF2mahoz76KLz0EvnoKM2mfOwjj8jyMqFeFDHXcKSDybe/Co8+Sjd2ePRRaX5Oswk7dzIaqqhRWcKR4S651pyRJjNBkUYi6nVyzUPC9FZzWefv1qwB/ZDnT4m6kb4eL1xI4XzfZ67hpMpLajLrMoh161TNbix1tceOKbEMNf/NHqyQJ5NnVOexU5KGKazrHqzxt/QZ/27GmTOSr202z4lQX7Gxbl1a7b9uHQZ+s3/WklStFuA4bNw4xtKSUiu34BsQFRANiUUR0o0bUcbXD8RO8KeBk2eCAd9Pa9x0XqhUkr5xi4uyqc0fk4lw8qT8fe1az+DfjpMyowYH8wzE8j69IZ06JdHI4KDD0JBcr54f0qMqrQMDvVfJa6WSl9m7R3dMwv795N0O1ap0cP7y7ChvVUK811bkesMQnpnNszhcoTM2gY/c16UlncfOMzo5CbOzjJa6FKY8WYyaIea6adPaKIJGg61bRykUYHO1CzMtmSSFAv3HkPcpg7dhskQQOCqPEJsIMccCuWGBXZPSeigKEaIbW3CzvpFBgFdSm3aMqd2LwjRvp5+5QCuO5Hf1A9VuufIU9PzSbDSzsJWVsItzv9OxkrP1Sg+xy4PQ18eLLz7PrbeqPyjxg6Eh+VG3mYsih7Nxv5AXkC+W8xNKJXHA9FqC9D6K/+IIdD6wAPv3k9u2jUbDY2Qkx0i1yrGn5WNHywnd2GGh5VAsFODwYbZuhcceOw133smbfuEXIIr4+MdhaurfAG0eL3wPN3/4w+KlAbmH/5hfuXM7tdoGHnwQPvlJePe99xqCVKUCN6xTbOrt23nquRwPP6zWaq1G+PTTBPv2cerU9Tz2GPDJ7SKjopCG8XH4+38ffuAHgF374JZbuP9+maYfu287PPgg/+7O7UxObmZmBtbc8CPc8KEJePZZmJ3l1lvXUygIYtJqSZuh/KZNAu8F6joUhdgLF9i6tShs6BhTXmG8P+M5YObcyOrYOINJeRRK601UBoDrUijkU0lB1bxzeFj2k66fxxsbk24oJGbtBpX1Gac8cT2WltL9SKdUXGTfldSKpTCknECt95mziIKum3aW0dq2bpA/p1vCd4XBW7UKVuWWKZfPzaddSq7BHheCdTRqBbIBjazTP2N+TnAYXrMESUKrdYLBwXSzEjkreWj6PIp4JJ+rwOVCwTObXG+hshN3yRcis3u2I894U+Uy5MM5aLXIFwoC88SeiVrKZcjHC5LcDQIG3GV02ZFunZFCqzG5dQUWWo4xtva91Xm8XEE6Aeg8pDYCXusoXqvF+Lgsyk7kkGs24Utf4q1vexsgucX5Ex4jvo9XO8CNZdckb574K3FugwCum0wYDWcZJZbcT8uHSoUDNU8V/o6yedI3xbWFco5OlCM3OQmkOsXzJzxGqlVJlqvoYOmK9YzqhEcUUSgIgaLj5gX20JiKIhKFISwqQXDPTSgU5LujjY5arJ3YI4o8m4RmIBQd2S/qpguBhxO46X3VIVIcqxq8dM5qI+X7QmiyA72VIJrzjf5+TBunlWB5e/xNavz0eX3fYe2wbEi/+7ufSPUqAVotgqo8chP1AYPeslLjFwdg/pgj+aq9j8OLZ5jf+k6+8AUxLJOTqoZ03z6ox7Jhb9vGgZrklEYGFmDfLFdf/SYp54giavUc9Trc3GzC/ffzvg/9BI89doTfe+R63nvFFcRPPMENT32MP/qjD3DPPT5/+qcw/q9/VSLDv3oCfv3X4a67+L2dOzl8+O188pMwed+/4ZrxLltDRSTZOytW6/rrueGyQzz66AYeegieda/jmj/6I5ic5N/+2wGuvBIJr+66C376pzkw6/Ce98A/uVNpdjYadCqb2b1b7RlagH1yUvNOuOHaLjy0jzQZmjrCxhlSiITvK3Lm1VVBO1QninodtkxVAbVW9ZtdYR67QV7QFZVbc5TDouwehUJOZo+CO/oH82mZgZqgeh+TovAINxABdkcZpnyQEMdOJi2iUWvb5vbyKvS+Y7dgc1Wdq/5czejUqJM+T28d3neFwXslxoUM3d/02JdflkaO6YaZQoCpUoDOv6QP3kFYnYl6ONDTHFRFMtq4bKhYE8AXaExT1H03bd0mNV6uwcyX6TNGXBtXXA/Hjc330X/X6uQm2lDfqevnTXTrRSGe6+L6OXALQv+vCQkyV3tBvvj27Xx5r3yvW24BZ9cX5bp37ODZaYe4BYVINsBrrhHDyV6BJhkbk4Q2icAZpEppBrNSC3hxEXJnmxBFxP5mDh+WU4xUymb1XHWVchBm6uIckKM+K5ezZo1ap36O2M2ZZ5Z3I6nDm51VHrmUJnjKUOu+bP39+p60paAfoFxm/oTHyZPpZ1gIXuolaw9G5Qx1Ul6nA0EVCscdPDtEs0/2Co6VSCr6dXPtPX+3f+92xRD39/enm4+isGpFkCCQnClxBN2ueb65MGR4WJyj3Pi4vHlRajjzbsfkdSiXSaobCUPIxx1OnPAE5f7KV4AUdu6qwumbt3VhVw3uv587dsDq1dfz3j3vZtfhw+z4qZ/iB3d9gL/4iz8H3sHH3/wndC7/xzg/8APwr/4VPPwwC6HHgw9Kneh//kgiYd7EnezbJzY3v7godOJyGWZnqW4TEYgXX4RrJiaYP5WjXIYf+iHgAaUc0WyyOaxDrcAXZzcS++9i2wffxZlT8IlPwAZ3Dvbto/Oh/8y990rJwS/d9CTccq/cg1/8Rf5380089+uyfioVeMtbIL/vcTFuExOm/lNby2dnPOp1ZaSnp6XgfuIaceCiSG5cJa8eV968NDiYZyRIGGUOWhEEFYnYFAnsZN2aDEo7ztgxBft41aogJtWqgTTjGIqBfLbjuviWhJh0ekiFMIJA9swE5XSGKdzk+b6gNK6l0ETaWUSIUw2rBkvP2+/yYefYLlZWsNJ7L3bOlY7VSiume3zqlqf4sYILTp2SZ2SKh13XiJ06Ucdgz1FEqjKi8he6wDkz1HnDUHVDR/WN8pMMC1B38oa07sUhkRydm6PrC7U356rODFFkJs5CS/KGdqLZRIea3OJKr7hjxxRqUK/DkSN0Yi/tbF47KN5tq8ULMw67d6e5Nv/0caGji5QKB4LreHJarok9e8jNPksQWF1mdB6sUiGKpDOErtY9ckTUnOp19SxqNXLNQ1K6oPnK1arprBIEMNJ3FG/2BZzWAidOyHUdrCn6oO4/1GiY/FMn9kSNpSm/Dw+rYtx6XV6oVDjU8HTpE6USjKxL8KI2TtSRXnjkDKxFFJmeYDaq1N9vEKJsOcLflrFykbFS3nqlOtSV1sbS0hIsL+M4aURqk7MyaRSFx+foGH3Xel0eZacgebGR5x8n3zjAQpRj3z44MOuQVDdKTWQkmpZXXaXmxU03wdVXUyhI6YwXLlAoKBjs8svBdenvh1OnjsPEBHNA+Id/KAXn7AV+H26/nQXg4F/8BXz+87B3Lw88AL/wC8/w678uHtLCP/7HsGoVO3ZIbu2zS+8Ucorg+8zOilH50U3PwP33Mz8P994L738/YiEfeUTeuGcP+D71usy5PXukLhSQKPbhh8nt+zJBAJ/5DHw5vlE8x8OH4bnn+P4d3YzkmBGCLpVg7VrCUNW1z8zAiy+aPLgRrW61ZL2DvEd1j8/7XZzmUTPfT59WhBMdgrVa5nlpnUuN0GujYnw5jevHqmO6Qmb0XmeLvqMuX/ey03NGgyBmHur9U02wbuwYB1CTVCyZW5l+PSLd8BqI8OzFeKGFuZIXezGo53zHntJSGKjG5xa5wOxR6jVTjAlG3NQhLWR2/VSOaUM5MNYvV0hMdNiJxPsvFlKVDreQZ2lJ21DJDZpcEeD6eRJloxLfM/JVNntJek15eJpMYV2/VktI/JxSDHFMraH+DoWCLC5DHogicnQYG8ulr119NZTLuK6kDsbHYUOwwPTgINx0k0AV4QKb/QUqlaJEmNUqtFqmyWSrBYyXjEPQ37+edpyTMokw5KqxtIWZkT8JAhbiPIVqXgxvvc7VV29II4HCepMrWlew8gg4gqGrXJvlQ0iX+FLqTHj6AtX7TOsVNexO6QJ7K0OiO1qYHIR3jj1zXXWfX6Wozh7nK81ZKW2wUslPkiTQ14fjOOn3UPIq2jkoFhK6sceJU4r4pNQDkkIRN1QoQWtOIrnJ6wyB98ZJJWyML+shCGB8nBdfVPdaq++Mb6DZ9NhY9hkNuuL9r5M8RLUKMzMOjI9TQrx82ec3AtfBnj0UgOD7vo/pd72LhY1buWcKxsevY/duWGip2ro3vIGdO625tn+/GKk4ZssHP8juVpFDpevYcMcdumJB1kGzKQZv7Vr4mZ/hhdYoe/ZguilokuWGrVvFAs7Osn37W5mZkdcZH5euDIoWWakUjRpPowEbVZcEjh+ncK0qPFfs0UIhbRRLoZBelJVHiWPwfNcwIA37E+iSx6v4aSqk1cIJAlw3nzpqaq8zjo0mJ+j6AG2RosxWKWS7MNtnT04o+0d/vy7Xshah+tloabouUZzyJTIjjl97kGavIeuFYS5k9FZa0OfLDdrj29/+trRDUWUeiZ+TjSkMCXRRpJV4B4zb4egIrzyKQ0JAWm/XiT386kajrpG3oM3FRWmCWa5sxGsdJdeaI2f1cDOfY3lO+mN1Po4oInZzxLHKPaFghEhNIt9FQ2v4ObyCj0PCunXSow/fp+vmCFtQKDg4rQU2VwMphyiNw/g4ieuxfbu+fz7ccgtdPNacEKZ43u0InDI0xELLUWSxIl7UFvamjpaDAIeEclk20a6bE0Po+wwpjF57cPkg4frrnbReqlql4xcJlXErVipCTokW2BCgGKY52rFAmdpOqvXM0mDOGHAvalP0XYF1rHsaxxIJLy7mGBqCAPlu+YHI5F5PnICBAQ/f93Dj1MaZoZ5JLji3zk7/HCtY2+6Z92qMv0keT6+v5557DhyHRx55iJtu+mlaLShecQUgm22joYy/m7B6tUO9z6db3iDRb/0QQbCBl16CddeP4jz8JzjHjlH86Z/mV+518P0cd98N+V1fJK+dGdflssvWy8a+bSvMzqLr3BM/h1M/JMdNTUGhwHveA0tLwxAEfP8/+kewYwd33AEzM/+cWg3mvwdGPvMZWcwnT1KsPwuFAm95ywZACtpvuPdeaLW4RRmpDZUEuI35t7yLkbOHYGaGf3HnhMml6Y8fH0cYng8/bJhmW8Kv8gcfHRfL2YS9s9fw0EOwbdsoH3jf++ArX+Hm8guUP7SFZhM6W3+QXBSJ9du5k1vueDetlgRx09NQvXUzoxPy2aPxISYmNli4njyDchmS8igtf5TFRRhpPiu1Q9dey6m1Wzh1ymFktS5pcoxB6fp55poe/f2eoCqmWXLeGJmOpoMPqgiulCOvkQxdt9RqUakIZJrzExJyHDuWKgvltTFGcrZFxR0Q/95TPAgLIQMcdXxQypksgQWe4Jbyr70IDy4MZf5tSS0rHb9lyxbz8/Jyoh6ibxhDcZwa18z9Vr/ojcI+t+tasKHFRCKWCTIybO2WStg1jiWHl/dFoSDBM3lCz03wlDPdjR1jgF2yjECp3fOMYfTo4inDYT7Dx3iFbiFnJlRRGXmdTO4GReo1CZBGhkLDznLLo4aheaY/x/BwDpJvU/Q7FAM38501XKoZihqm8OJUWNbs+yppkGFTuq70vWspIW63IyLTQZCeP04l4PS5NAEDLDUi7Y7q5IQyxq6fQne+b0kxqc/W59TRvY1KGudDv+D7hhRkTRGTdLeT8/+3Dj8XQF8fD//pp3nHO5TSiobPwjb9/XlF3snOd70hFlng+uslVxrt+BFBMlotPvzhomJzdmDHDpMDqlRgQ2OODeUWzMQwMcGLT8v9DkPIR5EYk7Exnq3leflluP124KP3Q7PJwu3v5YH75Tpuv13gbSNQ8PLLMDREMnENHJMc2cmT8D/3biSO4d1jbTY88qAce+ed1GpF1l2/AUcVdTeDLbgTW/Bn4UMfghsn2rB/Gnbs4FDdYUP4guhlFgqgmIyFpuQsp6bkxiQ/9hPMzIixdKafhVkUe6cIGyWPqUtTjfJauWwa6sazmDmmWzMZCTzyHD8OI75v6vZOnlTlBSqsPnMmTxw7FAM/Iz5hcniKDWqgQ70QluVaJFdrLRB1bw3BJgxxXJfVq3NGbzadFCnpywSGKiDVCJMhx2jnmBQ61/WYZj/tGd/1OTx76HzDhWroLlSAfrHj9YjVTV5ehiRxUkFgPy0Yt4frknnR9ubPOX8PRq5zc128tPBcbdjG83ddA3sKMUUmTh/LWUN6nuG6FgNQ7dA6UaxRhCTIZ9RZioF4dW23yFyYB9/Hqx9kY7nD0BDMn8nTKW+USE21C9IQqC6y77o5UyyvoZUEx0AbOucIpG5bLMX8J05grTirNiwMceqHKBSknKXr5swKiCLVZ1AtHR0waI0+J+pkIuWkUJQC/9hLP0vlXnNul3wg7ZUSpHehnTe1kRzPTdLmsjhyI9QNMd4qSaZdkzaMmTn6KjaA1Z/xNzl+fakIy8v87u89aFTgNF1Ta4/qEcfC0nSiTiaa1wz5IFDnDQKcuCv5Z8WksDfZQ/Eoc4Ut8qZdu7j2WswzP+hupj35Vti3j2ue+B0mJ8X48MADABQ/+THe/355BE88AXPxejEYU1PwutfBiRM493+MkZef4RvfEIhwYkL65h1q5Tl02wckatu5kxu+/Sc4Oz9Lp7qFD39YyuVGWy/w1uAZCgV46sW8kUXZUFHr8PWvp13ezKFmjly0wM1b22zbppZopWLWfhSRTlLFmiQIKBYSrrzScEFk3muDpyeg8hSHh+W4tWsxBeQARvW9UiEIDPoLQcDSknqGKr2S4JgWWHot6UtatQrjIerez4nriQC8W5S1oyK8THPWKDLs3TiWtI3ZC0idQ70meo1iFGF6ZsaxypkPy5o0TmYcv/aUVvSGcCkElUtd0Bc71nddhnM5fviHf0rWdRSJuGytRr2eqrmDbMwmZ6eo8RYrXYZtjKxkfxRhMrhxrDZ59Xvm71FkinIzn5WIwdCMuMxHqcShMRR2yBNFOHEXJ+5aDCg52CHhxAml6tJqSRkEcKgpSu40m+SbBxlZl9BsSgPPjpvHcxNRTNDJaXUhJ04IlJsp0nddNJdaIYu03SJaXqNUUp3G1cz24g5r1qiCelXc7EQd4/Hr3UMvOH3vtJKDPFSxdE7cpY/lzPM3htgyenqeWHn0Ff/p9644n2JNsc68lBp564G9imjmd7Q27KHX3OWXXw5nz9LX18djjylb9+ij8MQTxHGqtGK0ivWkCkN047qZGfmbFy7gzLxAFyVmrKxgUlpvAu1ctJAqrVQqMgeitrlvpZIUZnPrrfCFL/BP3D9mchLee+96Dj74ZSiXyb/vx/mVNb/DP/pHwiX5jUc28uU9DosDOdn9p6fh3nt5q/skIIjkJz8pabvBQWSRKzIGUUSuNUe1Ki/NFbbA+Dhr1yqtS30cYEsImdxVo0GhIIcdrDl4dKUDO8iaCgL54xkRo5w/JpJcmpOxuEjqXcVxKlCjtF19X60XLFhdz2HXM2vBntvmd3Wo5gvok+eDxGhBqKLd1IlX8LsVgJlzm/XtpmUMdjmYEdjQH6zQKofEoDTaMbKv15zX+jjxMHt5G9+lYyXo8UILtzdK0+8533ErGVCHxDyMy4KA+fkjzM6qKOJ//A949FFqNVEpOnYMCMOUFatp9Za6htnYlIHqxml0po/B96HRIOd2M0r6rZaiHyvvSUOGZjdX5zEbqD37jLVUMOMZ6+8WN14vBpOMVgtqaMhSEFELwHQ8d10R+g0d4wW6bjaysheSWivm3sZx+ne9iDQsA2Q8QFzXlGgMDVmkLGsFuS4pfSyO09ZA+jqUO61ZqYQhdLvnPH/j3eoLUcZKe5/62nvQyszHGANr1aIYiTLLopl1q3anlVCDV3JcaM6vNOx1FsdQKJZgcZHTp44bJi67d8P/+l/k/IQ9e9IONydOIBNuepqUQ49x6OaioiE5jZYTkeep16nXJeU0O4v0EKwdZEOwIM91bIw2oml7+rTA2Nu3K/m322+HSoWJCQmCjDyWIlSVSvC+90n0FsdyjfOve5OIrioHdXZWPuaee+AHK88A8EzwVnmhVBKiSbNpejICMD3NyL7P4dUP8r+nN/AbD28Qx/MjH4H778d14aMfhf/6yCjEMfnf/g+8Nfoix47Bb9zv8fgeT3Lae/akEkXFIk89l6NWg6LbZjQ+RLmsmJqVionwjHTY2JgplM81DkKrlfqaao8wtjgModEgcb20llL9UdlkuXfWJNeGUEd4QWApGGGIzhkkxhiiKFJlCOna0H837HSbYKP+aQfRzNUgMMp+tlSjIbvYmybfxQbvfKUIelxoEZ/PMF7sWPOeOCZZWmJgwDHNLbXl0I7r6tWY4qB26GQ2Si0WrIslCQI6rhJMbbVwGnMMDZFGZ4EQQ0xEp+jy9tCTMvFzGfjPHOf76Tl0FBd1zCbRa4xwXbOhG+9OXb/NnNJGMeNhKbhCHZ41BtqoJmLgejsqxzHpvQpDgkCur9GQSBC0eHbaakcbywwtOo4zbDPtVernZcMzBjrUVmV5OaP1p6+ri0WntmBX/Xd7fZrvwrm0axujMYvXTZP0xiCrk+rI9NU0ehcavc5k77rq6+uDvj6W45iBAatXoVJGVn4e5bIIGeN5RhKM1auh0eDKK+VvYShGr1ZTG5gqbiuXJZfWbJJS0i0k4MwZmSP6eWkxBg4fhjg2QseFAsJC2bcPGg0+/3kxPPv2qesrLTLyzSfh//1/TZeOF18UUZXf/E2gWmXk5We4jmfEGOmylEKBp56S1nfT04jHq7rFauix2UQuqlYj53Y5dkyMOOPjBlNct06qKQykeOqUEWtYop+BAbW3WM6midh6oyi1DsMQudeFgvYRTcitodMkEIKH1rE0Gpikt9o4j8pqat94CcsjtfaAtWtVbhCk5lTvMXrzc93Uh1SRnOta+00vXKI+0OTmVP5btzeze+eZvea1EuH9bUavMTxf9NfL8IT0ebbPnmVoaDVr16rXpqagWuXyy6WLt+9jJoHxKtXQ0Iz5xY5alLFyXVnAMzPyXq91lI2ltiyCcplGQykqqJW0sdJFsflJqhtFEsgTMkqxkECzmYpHq8lNFJmoKIoU9q5zBipv4tFFcwASPwf1umhkIqyvKJKNohhILnHBH2V+WeCnYniI3Oyz5KIFmk3ZVA421WcfP06+eZDVq2XP0Fqavk8qB9Zs4oRtXDcVoGhHlswQmOvUJQHGiVDea71uaTiGIaOlLpWK8kQVzNSJPeaPOSxEObpBkeVB3xhNL2qTjxfI0xajpTGhQoF2LA1xNVpVLCTk3Q5e3DE5UW2IO+TouHmpxdO7UKNhaiCJIpOvWFwUBmjXz5P4OZNPXSkJ/0qMi0GaF4sAHceR+pz+fi6/XNHgJyYUnif7+fg4Jr+y2O/THdtCUkify8jZQ2yIRT/10UclqPFaR9UCENupS0q8qJ1uvOrmf/ObMj/0Zh5FiqQxPw+lkrFLZt0tLkKtxvCwqXSg2YS/fnaAJ7kRqlXmnnsObruN3/otecsHP3ic33iwKB/y4osyRzV7ZPdu7rwTrr9eXl548zulCwSwpXSUalXBrO95j7znscf4+O8k/Jf/AsQx7Tvey1Nr3s7srBi0KIKkIixRnn4aPvUp+pvzLC7KOnp2xpN5jYJY9SRUEQ/1Ouzdy9iYfK+DdY+5eH3a4SCK4MgRim47VbCyIsQ4xjBiFAgi+ToLPdKpaMeRdVmrKQlFJZ03si5hZF0KjRonX52jEzlpna1CV/J+2nA68XOZQAHfJwnyaYomDPGitpF8BIzTaIrve8a5r3yXj/MtygvBl9/JeXUuxx8YIEkWjTK+12rB8eOcvSLVtfSiKHuH1e4XBTIfq1XwUAu3MMqpU0g/tkha8JRKeZpN1QqnFGQK0ytjRV58EeYK6xkdL4DrSlK82YSWbMiLcR/1umhljgyI1QgKomfnqVmtja8hSrhC+7Ux/VWrvDRS1Mlz1xVjpJRY/HUeTu0gxTiGsTHVY2sD11+/AWf2AJv9kOrUBsnZrR6FkWOiUh/BhoJsYN3SKI0GDK7ZzIhSpiCK2FBy2VBOHYNO5NFqeUCOQkGIPaZ8orVg2Ga+v17bTUbLBYiV9FALgiCHF4vRyfk+uVJJmi7FIrotkms5ic6saNIsItclUNp/Onpth0KjNwl3ErwgnX8aThLatzqPHTGGITnfx1+Xkl+04y5+0avrn2pm8YVKffQ4Z90kCctxzMmTakPVWo2kTHbN+h1wloxQMHEsBIc4Rz46ysagg7sjx/Q0HAzXs3HHDohjRk4e4NZbN7NvH7xQz1Mu5ym6bXPfbrylA4iG6+WXb+DEEaDiivUtldi6Fb73e6HIAnzf98k1X3YZbisVnb6xdIBit8FEJQ933cXotm2mw/3dd0OzuZb3vAf4/Fek2Pr662mXN5OfmgIg2A//8l/CDa8/SjdYT9vdKIzRMKRQkLnYKW0gNzFhItuc69JVfxseFoOp855PPw1X3fRO0cncvRuOHeOGaxcYGBAmcKMhx5bLiJqQ63KwLoZnQxU4cgSntcDgYJFVqyR6NLBytWqMiIkQ1f5UKOSUYVKWLrZSCsoaabQoCKDvTIc8bc6sUihVSZxmLWSdzyBKOaOY4pZyBuXpxg6uKukCi0hnv6DyfnGs56oMXUqB9TX6+/VJekmIr6FxIePV+7cLGcYLlTno0d/fz+LiEsvLltfi+8bRsvFp84OKDjSMZyI6ZXjOniV1QcPQ2JbFRZhriMdPGEK9ThCkYsydWDE4NZQZhiQ4BhrIdNGmm+a/1CzWTEJdpmBgzwyzRg1femN1IkeUQppzrF5tMcVUJLtuXSq8rT1Fz01EmT1agDjWX4WFOG/gk1JJ6SNquZZCgblWjrmmx0LLMcKwhQKMxofIzTwDzSaH6g779ytyi4JLFhdNay4jIK0XmIFOVWsiXNdEWLpfW4Ydpof2EIIgQ1gJAtXKyU3MQk2Q69X1hvo4U2KxQtJPawHq89oOyasV4fWOS10reiwuLkJfHwN23lSth3aY5nc0woCTso3xfTrkJI+sQvI4TjkhgIHfzpzpmZJRJK68IjPopTM/r9CPKBLY8YknaDbh05+GFxpFOfHXvw7T00xNiU3ctw++3NgsfRrjWArFH3kE6nWWlkwdPXv2QOeHfkIQnZdeIr/rzwTvrNU4cUJOeyhab/J++vq1ZrPvI6GSmmBJab1WYUuZmdYIAuRmtFrQ3083KNr8t0xaGdIpDRja5OnTGKasIbBYBg6sTiium4XVwzC7BtQvnpuwapX6dWCAJMinfAV1XhNN69ewiC+qf57rClPTo2tSLPpww0pWTrjO0RlmtU6rWCkne0m95iHN86lFfCcstAstbjuH99KhQzz66GeA5Qxb0uSHwLArM2SSQsHQfl0X4+FrQ9SOPNNGphh0TU+46WnVa8t1Yf9+UQ8hhXqaTQzBhVoNJ+5y6hRGCsu+MK2igu9nEu06IWzDgkQRAwMWl0V5hOaYKCLnCu6f+DmS0noWWo5Oa4j8lnKh5485Ann4Ppw9Sx4pV4gimGt6aRseDVWpja6/P/01DFNRZoO9NJs6RZGSVoKA48dTQXi9EvSCz7mW96hyAbqdjnYQ9CI8J9yKY+mQoB6p3ohNSYXaMfRc0gbWLEY7L6EniEXk0f96beL/sSQeF14XJ44fg74+fF+6cRshomYT15U52moBrRarVkF0tk++i7IIChyRMT3NxkrXiJNQqYiVmZnh+PFUl9N1Ee+o1YLpaY4dU+12wKQDCAKpO/it36JQgN/8zUXuuAPRbP3934f772dLcIht2+QZ3ncffOEL8HhtIzSbzP3hH8KddzIaHeSv/1rIaFpcZaG8RdRPpqfh4x8XCidS+bBzJ2yptKXmDuhOvom9exU5o34IO6EYx4qAUugwOChQ7sMPy2mHh8HZ+6QhxTA4mK5n0i2l1cJEbKPMMTGBwWm7eMYPVSh6mmM9cgRaLdPJQlsbyw6KU4v0uJyfV8eoDWdgAOPA2HNWz2ttxHtz+128VAvYt/LjKoeoDzd5dfWFM2uoZ8Rxun+BWsOvdUjzfMxKuPQao/MZTbvGD9+H/n48N2Fg4Dj79sHNO3bA7Cy33CUO36GGxwbfp1SSYGXzVMXkpUbHS8brD4IcXiH1ZnwfqDUE445F+HXNGvEOZVJWxeOLImMs9MRaaDkUJyeN0F6hoHB3QB/cxcP1PZxWS3QLy2XmT+U4WHOkYHxdkiZL1IndKN2bwSq0Vp5aJ/bEgDRbAqUuejYRVFZYqcTp0wLVBdWcOWGxkD4fjYK55Q1SVKqs1XAp7fLhurI5LS4Cw0FajIREcjk3lU3Ti8mGcKXWLpdKqun8me8DK3QV13iiLdSHGMNCwSLsoD7HOkbn3uyO5gIfkV2M1s+9eXp93+OYTMfnV3JcCqzfC3Pq4brwP/7n/wTX5Zf/1b/i5ls+KxvjbbfBI4+Q2/8kN910o0DzSM6p2yUNQ6KI0eggo9UyxFWBNyMPPY275Q14b3gDRBFbxrrUFWQHkPdjuOIKaDYZWZdwxRWOmfNjY3Cg5rH5t34Lmk1+9EehWh2QW10u4/yX/wKTk3y5toG1a+Gnf1r+Pf20ep533cXovn1yPaWN+L70e737bsg3D4JfJhnfgnP77XIx5TLDw5ILNHWI+/ZBoUDd38Lu3WK7b65E8I1vyI48NcXuPTnWrMlzw7VdRk4eYPXUZnbtkjleKgFRIBJF+l65R4nH1xtSjllnOspzhdXrKadPT99iIVFGSHVfKRSMnp4mcnk989C2YkEgyEMXtW6CANNBRB1v9hprEUUReJqqTYp8ielJBRfiGNmXlMGL46w0n9RkyroOQ3CDHI4K97WBLhQck2tcWjofFP//0/E3YXeaoR+o4zA8vFbrr8LYmIiPVxSMVijoHqemMF1vzhrW1J0JzkEQ49h0Jz550vR3lIV0+LB5j4584lgRRzRVrVzm7Fn5cXCQDDECMMYK32dgAFPb1o2dNE9n3MfsdSU4xkMzjEwbmsMykJpNFkv9nGFtaYwIyX2pfqjSJaBxKE1Q+L5JXWpkZ/VqGBlqK2mmpiGoNBop29SJOgZysb1X21u0f9ARmxX0nUuLtt+oNpZTp8xlKpm2FOfUfz9zJg2YzbzS7rB1vM14tQ2vZq+9muN8KIh+/ULr4Xsmr4PlZcqjQmIaGcGQqxgfx/eFwxIEEiUsLZENYctlIfModMJ108a7rotg/ceOQZwyA7XIgIa9dRmM3uxaLTXXDh+GkRFjJAsF0hus6jzn500fVoaGpE6cVkusV6lEvvYst90m1/TRj8JBJAJ09j+TllcsLhq/qL8f5tdshjvvhEqFje4h7rhDcoiAfIAyYtu2CfR/oOaRjG0mR4dKRb7yzAxyQt1ott0mKa3nK1+RaDaOpaB8tJyk+G+pJPCwKXqU/3TfTJsVqYfx0dQPJjKz9giN6pg5TopugMzrpSWBTnWJjxN3RXVFb1BqjieuZ4Qy7GvqbX+VSb30GGN7HelUBGpKaPh25QDoNTIuCYq8xOPP9x4b0vRdl2p1CydO9Ile3p49UCrxla8or6Y5B3FsIBhDE3Oly8DJk+oZKtjOSmnID0FgaPiQBlRMT8tqGBtjZkZeX7NGSWipPBWlEnOtnDGqw8OYQhqj8uK6UEj74eVdpV6PRfvGfF18P/USTX5FJeEckrSOrdk0gtJHjiiGpHJFg0CMlRcuGMzk2WmHPXtkfVYq4NUOWMkbGRqK0bmOnJt2XtafqZo3GyOb+DnOnl0BEtTeoo5SwdT7WeV6Mj9sD8QOWV3XGMizZ63SCtuI9SZj1CnaoWO6ZWSIMJajYF2qpCGsefdqjEthaJ5vxDFcffXVEMfc88FfYf9+xbDftQvCkENhkZdeUo6Mm9BqSVWCSUTFMXMtpYVYq8Hhw4bR67rg7H4c1RSRp56TbhWTk2JAjYUZHDS38+WXU4Bi5Owh+KM/gqee4nOfk+jskUeQNfSpT8HDD7O53AYksvvEJ6THarMJPPQQ0cc/Dn/xFxBF7N4Nn/rUItPT6hmp7iDGKVSOoYbMT55U3TcmJiCOmZiQdlVGZLNalUa2O/+EjeUO09Pq82elrdDEhMX0PnJErjlJmJ0V+HdgQIyNgYLVNSQ48pqCLPOuCCu8/LIwNRXYkhay9z5MsiVI+CKWrtdemiMQwz40BCTSr06Tk5y4m2Ki2uNUhceZ/CArQJRqfeq1bOfn9HW4Lpm1k+BkyJzGcV0B/3zNGLzzLdrv1NhdrHgdANdl3Zo1XHnlG433bk96UwuGpWyj8YdWi8VFay9V3oteu07cNV6VTmLr5HS5jAmD2uS1bWNkWHlGFmmkUFAbCxauThbnTpAaFj1Z9Pc2/fCUUUR/HbUSDP1faffNH1NGtF6H2VmjenH8uLJdCjo0+LyF6esqCH17DNdZR5lhyIZyNyOjpJVZDCOlUMCJu4yWEyHEhKGJBMx81x8E50ZXamhHMknS+scMbtSzgOwawji2aNTq/L4vG5PW1Fwx/6A/1Fro+twr2MxXZVwM1bhYHjwIAlhephO2U0EFNdeDQJyCVitV/DHOeiZZhPw8MMD0NEZLkkcflb+9+c26woBKRbE+/bzZTHVqyXUlwoxjTMscCgXGxqS4vFpFrMntt8MNNwACf77jHSLMMjSkittvvRV/akqKAxsNpqZg06aBNH8IYtkqFbnQ1auNWlehYJFuFDThtBZotWDBH00TajrsV+tAP3v9c6ulWiZddpl84U4n02NRQ5FGchArHRzHEupEke1PpfPPdeX6VfRmIjfXzc5R9bu9fAgCum5OS3HC4mImytJRWW+ncv1Z+vvZc9zMPSuaM5FcnFUkEgg3XTf29zL8AnOC1zBL83wMy97FfKEF/P+R9/fxcV3VvT/+nqOjo6Px0Xg8HlsTZSKEojiKURzFVRInOKkBkxri0EChmJLLDTS3pZe0BZr20tv03vza0AI3BVrgkkJuSSGUFFJIkwAuuOAGExziGuEojuIIZ3Am8tgay+PRaHQ0Opr5/bH23ufMWH6AkvLw3a+XE83MeT5r77XWZ33WWqdLVofwwcaQhbFej7DnbDvsKK+krL1dQYqRN7G4iEmW1AfUQlm3HaNkrEo5GuoQMoDqPxOtYlINHKn2ojcMhPWple3cHOHirRKqNVSozx0VnDohi06zNl0XM0mNV6P2WVxUVnE6bcpFnX++HDuXizAnNeNLS26lYogmMzOR3JkoBU3Vm+zoCG/BtiOUZdum7iVC5qg6ribSNKEhnhfmfkUxZPW8TloYWoNpLUMrMv3OowaMnqQLCzSzcvWIriot59DHfKFhzLMdZ/LyXNeFRoP5+flmuV7iBsxt6j+UcfLcc+q7XI6+PuO4S23L7m4olcz3UR2prYqowmj67cUvhmSSCy8UzxDE0+G889AQgHZ2Bgehp0cZln19cOWV8v+2tiZl1OMqFrHrmnqUepuofWRiea1Wjl71dYFZBKVRdq5ZKrTSM4ysIKB7Vb2py48ZkXOY56tibVEwpAntUCWMooxMfVBTroylxb/Jk1JfmCUuspaY6lGRg1hBcyUjLS9RJqb+3ewfCce0hiOif0av9f8zMbwzEVSiSvBsFd9JE15ZDo6DgSC1CdTRQdPLaKpu40mPtc7OSPkbQgG2qJvEpZqbMISubFZVdZ+fh74+Jibk++5uiFeO4gRVgUB1Ww51Xm3IaSii7iVMnMt15TospEyYduq0QsR1caiZQvKk09RcKeG0ahUmLqnDk8bEzmbJ5Ux4RuptqlllmFcdHVQz/VKVAslR7p49KKaxnqzJJGUSBsZJp2Wx0XCx9qi09WcUjuc1FVo2EIiq3m8WY30Ov7nzfEeHqvgedRHVIlX3EpEu5WHZMxPfiByoXLGa3r2J42mWrDpua6kufWzXxdQR1DmSP42xZLWh6O+qH16srV07DeY9RBHbqBEGapu+PmwbrrisLlpv0yZ27pR3vWULklHe3m564LkuBqYzRdHT6bCyCiL3mQwCAz77LAwN8bd/K2Gw4WHo3/N5YVV2dPC1PSkeflggv1JJpvX64Trcc4+UTUkmOXjRdbzvfXJ5IyMI3qqLI+g48nnnsWuXNELQ83VwEFPypealKBZVnH18PIzpZ7McWUjx/PNy7ZkMxIOyqRJkUmrUpNs7alEohJ6u8Tjn5mBuLlT6SihrOAY97ugQkV++nCb5M+8kki4QHVq+o+ztKNJPRwd11XFl2TKa5o0RWaUNg0CM+jqWKSuoFZ4V1IxSC1sDRS4kCAwlIBqOiIIv+p9Zx37R+uHpcTYJ56djbC613SlHEGBbFvPztfCFqAV1YZkEweteAkvl0iWTQD4wUhP4obWlWUhxt042a8lxBgYoVyzmjsukiQdlyiSo2quJj4wYuDOdVvG5YkDNjjNzHOIrPKESB1Xi8QgMoXaYmlLKqljESSapBA7likXCs3G1NASEGtjzKBZ0HpWPY9u4qj2ObhybzerE9KyBIi+4QJAYz4N6MoUVqTSjpVIC9HEDP6ay2TC2o4ae9JqZWV+VMu/HKC/PIwgc5ubAXRHHScskWLZMpSAomJN0mipx/Aokk45qlyIjCil3WApztm1pUqpJG2pS2hFGreuGHS0EZnXM9blLWJ22DfghxBPNR4pey5JO5QsUw4NQ/k/HdNbbtW67oFxYOwqHqZeqvZR8PuyWUZuZD72JQoGO7nU89rjFFW96ExSL/NqvRTy5wUEji/PzcUOpj7s1yhVH+q6VSqRcSWpW9ZVVy5w+eO1rAYnfTUyIrklu+HXWvl4u6tqNVTwvbt5BZ6diO99wg1GmfX2ifIeHhanJ9xZg40Ym+64iCKA3MwG7d3PTHa/BdUVW83mBSuNKqX/ve+q57N4t/7ZupZxdK49hVlBW3VrnyPEETz8tcm8VJsVKuPBCaG/n3HPley0fRsGp/oPGs1TGp46r6Q4nx445YXug+XlwXY7kYMUKR4pnFAq4bo8cM+Kp6elgmkx7zZ6WnhdRhEvrpIRGVIIA13XE4LNtUDmnrgtxdZxoa6CEJ7FB6aUoC6bjSoUWR4U78H3cdEJzmowda7xcJzR8RWZ/QcaZYm+n8+ai25ypwoR+kAuNBo5j0dmpYEhlbq1aFYkhKGm0bUK2om0b6y0IMJ5hEzEhCJibE0s1btdM7cx8Hpl16TTptEwSpzItSqmoAthak1YqxIIFA7GQTlO3Hbq6mpM2FxZkgtaRJq/mt4jHquVVw6YpryaVMmybKmHzRSNxtm2gLddtWUSDwET2y0GcZctg7WCdVHDULDD1vv6w3YkaXV3Q3VWVPKZSiVpgcWQuwZGFFGVfFG73qrqpWRmnSvcq1b4nmaKW6aUchG2XzIvxfRJePTyVxv2VtdskA+rerEC6PsTdsD2QZliWSrJganhVk2z09mYiqjilTl3QEG0UztIyaP69gO2BzrbqULQcX/MPFrHGog67NpWpsu2myldhsUSFs3V3lllchL25FLW+NXSfOMBNN6ltN26ETZuoeSlGRpTXFMXmNCXadclmhRjiuqoI9FxCVj8V49PKYG22LN7f8DB/d1+c3bvlUta6B0nMHREvzPMEzhwZMaXOBgehZ8+D8OUvQxAwPq7m5MqVkMkY0tOxY+q9T+wTlkyhwGOPwWOPIRe2axe4Lh//OHzmM3L5a0rfJTX+KARS99O2VVOFSkXgj9e+FlasoL1dam2OjEC/d5R0WhR5bXAduC4JVBgkmYS+PkoluTzdY9BMa2XMThadEHVVhkUT70AZz8YAibA2NaypP/Rk6mH1G8VQNwXwoxacMob0tUTno+9L3mZTuEUP9YClgaxl5pCWLb3ENt1jSwzvF8bDgzNbp2e7z5k8wJmZGZ6bnuYV2XPIZtVitW0bDAwwiAiqbQPJJEk7/BsQ7yyIeAao2pZEOhDYNitWROJIfX0EgapRWBH30HUl5jXdnsJGwX3JKuSLZkH1Dx3VVbbECqtUiGvBU6W0VCqOjFaXwg4ZULYt11f1xQJLINZ5vM+lGMQpFKAnkzYl0ruz2bDOZNIKE70jZmnCreF5iqJsr8YOIBHUsDSNOZMx9TVlfyCbpepbuLZKTUDIC8KGtUgEMmnrmR7yebl3UdA+tpcIYVsF42rWahPUqDLFdc4PyLFP6joeBNLBnjDxNqqsNNTiuk6zRGk2UmR/rcz04U1pN7W9Yde+gONUpcVOt71tw/PP/RDa21m+4lyuu07R79/4RujqIgjgV39VHBBtODU642FpK6X0dMz3+HHoyq7BtaHXVkULslmKReWdJWFtH5DLieegBHy6JKktU1OCgHoedH/7i1Lx+R//kdtvF4X1znci2ePqvMPD8vGhh2BHZz8vf9ks3HabaLg3vpHHOq6hmIM//3O5vk8//Rq8za/hdd5eXv7Oa+Q473kPH3z6Or7+RvjTP4WrvvcxcC/jK/nLmfmlD/DG4Tq/F3xXW57U7n+Qe+8VEs0VRx6E7QFHXvo6/vmf4ZI2uOK8SdFiY0kYGuJgTvILmft3Ul6NSy91BD53k8ZDcirThuqcz8HawawpXD06qrxW36c3U5PiDwMDUCppvSiyNTREPZmis6Jg43zBCHRbmwrNRKBqjTJNH5JmeTU7ju0lsGzblOlrMi5pbnLtIJ3N61gGeYGwiat4joF4lVr41bsGhdKocIbn6RqrgJsI0TPjcqrLOKNU/5yMM3lmS2231FiK9BJdCACmjh8Hy+JTn/q/vO99HzFxKzwPN4ofA7Zy0R395u0IdAjq5Tvm3JYSDL2A1rFEUal9Sac5MmVxTE3+7thRKBTFS8z2UrB7xUErgdu+KHUq5cSmG7ch2UQgNysIWVq627ptO+iO63JBAI6SXbvJPIsGq7Vwa0sxCKCKQ9y1jXWnkwS1ddYEz0QgEM+LeDUmwCWKKKFzBYmk9SkjQYUJm44ZVRjRRd2wUrXma2GMaEs2bkevgSbPvEUPmnuKykKrF09EWTZBni0HOalk0gs8flQj8cknn4S2NhYX5+nrU2uM0nC+L955Oi0l1VzVz0yTmDT+tLgotlIyCd1H9ol26+tjeugatm+XTX/1V6H7+1+De3OwYQP7/X4KJeV5+ZNcM+QyTSqk3j8xB698JQfcdczMwEteAilfCp/r+K2G6nQuqskZGxiAc84x1USOHJFLHh5WnteeiuCbypMdGgpDc1x5JaTTDGfVHPD9UKsogR8YUGkKsQwkk8zORr7z7YjVHFYi0108HDVZqoETxi51wCtqbSFGsSGdFeW7hQWgHYMoGNlS0GTYWzwcJhYdQYYMaaVeb+IixO2QdS7rQmTBiwqxbYftsTj9HGj90RiogG3H1brWPGdt26JBrOk+fmEU3qmIJ9GFbakk2rOpwNI6wbtUN8WYqpBUrlhSILVQwM4kxCvJODh+GdfTlQFUzMi2CdQLirvN1wlhux0QDFtXVakPrGF0NCSGdberuFTFh2yWQ6UEpTHRuynkt8kgoKasnbhbl1p1btwImZ4fjl03nmOo7KKd0m0D/7mu3E/di2NlMtQCi0xG1YcMQGfh1wLLEHOsoGY6tttuXO60o0M8NTcs81VT3cXjEdq2o+ELQo0Ylf+6GyfwI1Yhrvlx1apQ2UTZpiEiZql7j+AnJwXOwp9O9YVeMFpjca3bNiWdt5zrJCUTmeAtdsQLNn6UXNZomODr//oNAG76r2/i//dnO8nnIWXbkM+TGhwk5wv5amAgTpxIEn3ECNRKqhdVemtoiL3+WnI7Rd7XD9cFhvQ82LSJcmaNkfcerwwlEeYUVVJuibrXQ/W1byZ+/fUEefjjP4Zr+g6BH1AevoaEUkADbojgv/SlMPX4rOTJpdPQ10fGFUWpq+UY6FvHFFQazVBfWDjBNG0tqjw1vaOaWE5lmoGBlPGq8H36k3WSSUXUcFeTSotc1gIhd8SDclhlQsf45yL6w7WNAWZaC4FJHXBdxDuqOJw4Ad1pRHlSw3VVDL4UGpRRbF2vF1HCkfaiDUSv5NT3IZ7UbYac0AiFJZVddCpE/zZGtRaWyCSzbadpLpjDtnwXBBCj0SK3P6fjbCCXpbaLxvJaiSpL/Vtq28nnnoNGg8VFEaiEJ/g4bqR4dIRCayA0MIJht3gL0UXTvMBIJnRrwmaTIIT/CwUhIhHmXEt4LSZnJ3IC7YRF0xOiFxbNPXSCKpUKTPtxYU0qhoITVE2PsmrgGAUahQ01slf2HcpBPGKJFo2lretb1gnpzUYZ+76x8vSjMnEHhFCki+JGJ1X08TQl2Ue53nZYmd1MwNO4WEvpyqiXfjo2sG2H25yqIewLrexOF9/W13mqGPeGKy6Hep3//o53UyyqSivPPgu2TZmESVqOGnaAEbRyxTqp6ShBYJzAXE71Z/P9sOQOGCawLkNUJW6e2+io+vOBB1jbV2XPHvjKWC/TyX4ShQPw0Y/CAw/w3HMSZtOVVnAcOf727fDVr5JMyve7dslX5rhjY1I0c88e01hV19nUXp9Jkh4dDdMYslnqyZSpC6vLDVZ9eQau29y6ChRZy0tAPG5yWhNuzbQ2AsJUJr8qikkRBTSLWEPkhhVp26YsIKgpEM1zaJnzQaCK2yvDN5rSimWZOWZiz7bTXJCBlr8jnlrr6aKoiJGzMxij5p5OvvSm8XOr8E6Xb7eUsjqTctPHXGqf1omeWbkSgD/4g/cJ61VLr+edVKy4FarTLKTQe2rutaf/+T5NxBGV421yVsskQqsxaCE7GKmJQGERwY1e09wczZoAmnLHlhJ8lc9qkou14oom3FOp0NUlVqFWrtGO7tSbn2k09tVKmDmJ+KLHqbRMy6W3/hR9n027n2ZSmXSKk3Y69TCQJqHxYyZvy7FPdT3R2N0LpfTOBuU43bj4oougXueqq15NpaKYw6oESKSgCiALWWzeN6QJzVLV/QzJZORfENDXF3YYMPloahIEgSKaDNREI7lu2HlDEUhcF1E0Y2MkkwLvjY1BfWCNPMxikXPOCXPU5ucJ84VaFvogwFxPwq3JBMlmTdkX35ffhoYwxm8QKPSiUoFMhgP5OEdm4lh+1aTvAU1hAd+HchBv6uDR2Rmh2EcssCa5UIxfXFe8ykhFlKhH3bo+6WHml56ELXNeoz7R5PTT2H8EQQsM2joRlzD0zzhalGTUAF7KIF1qvrzAduN/7miFK0+yKCPb6d9/nOOmUinxPqonCIJlMkFGR8HzqASXUyhAJuMQD4JwPzUDjeCAeWGa0qs9nDhV3GRcoFLV1bVSESy/O3YUSj7VdC9lUiT6kAWgpAK3umxXOk3DbjdGWzzpGsWo6fieJ73spksWqUzGVEPpXmWHcUtF9HBdTPsOE1OICFwTvKFyAV1kwuuWN7YNjqeks60NTYjRc0xvEwcTeDCTTZNGAFSCqqMsA9t2mpllSoHbhuLcDJ0Q2dQoMvVj3XZoWKKlJQWjhaWpR4tnHf1Zf2cUdSDkFNPPLgJXRo9nKZjHtlWvryCACJnlhVJ4ZxPXbp1L0b/bXVfiS8yRz3eRy8GafB5mZkhueo2JzSWTFrbtSPXofN6s+Jpd194OrMgYNsTMFFw1XDUK5MhCDye8HqmWUlGMzbEx0WTJJEFenpHO4crnof/cc6FUYnjY5G6Tz0Pv1q1Gdm+6KbT5JidXwM03i/c2Okpi9BEuvPAaPvtZsWs3bUJcveefh82bmR66hqQL69KTpDf3kMvBgdJqgqKwI9mzR0qDbdzIxKgoze7ZgkTJsllq2X4jL/194oWVA13MPU63XSNRKUKhgu5FpslUOrPDQJgRBMbEtxvNJcEClGeZlu/iA3WCKPXf94G4qXKkPW3MfmrORT28yNBK0bFt2tpUX8eIARG1tpdUSLaWdedkuTQK3Fnqa8OTCPRaE3Eq9Pi59fBaRzQx9nReXevfp9r2dKO9vZ244zAzU6JcRl6g6lCgURetaEzZH2Xqxt06MzNSzLVuO01Qojm3HeawhFidzLFacjUEAfHSpFRtLxSYLkk9yh07EOkfG4Pt24mdKFEsyscjU3IdpsO2Un6axFS3HWquJKXXsQQqLBSwKmWDeOqC0V1dGPo/tm1ycG0bU+F5umRJtXscnMo0KU8KYddRlH/Laiqlpa08A7G2WICGtRgEJ0GxugK779NUzihqOUYh5lrQEsvVOI/vY5WmidUXTdUHo2iipBatpSMQih5xt27SD3xfldNS251qAmuWpmY9AuE+kWTcs7KCf4yxNJh/8nxYChUR7yypEnwrIeJYKsEPf0jCqxuIfG4uAjtroVIpN0bMlRAcyov8MD4On/oU7NzJ009LC5/77pPH3xsclGzyJ58E32fPHtFToBLM++rw7/8OzzzD9u1CviwWoXf7J6SPTzLJXXdJDnqlIvFDrzxp0gbYsgWGhkweXqkkunD/wGvgU5+i+Mu/TOqeD3LfffC223q45x44/3xYU3iEtX1VcXJHRoTAk8sxOKjW+kyG6WQ/0xUHZ2wv8fG9lErwtR0Wh4pxEpVJ+oMDrFghbbNMdfpYTMroUSdBGc+TZ/3MM+q5qfyCxUXMs+3sFOZqPZkCZOotLEDVTclaUSxKI2q7LjFAXRRey7pCWpYvl48aAnVKR7UjTqPDNczNpuoveug1Lqr0VAEO/TEKMuliCyfB7Gretc5JYzT7PnWs5lTepqofv0AKT4+lFNupIMvWfVr3Pf2JLBqNWNiJoLsbMhlD1Y2kkIV1HyOjszOSDxdhEOrFD5pxdb0gVCqYhF0t4JGQV1iDTBXJPH5cvpcE9YgmVrCEZltFeRvRsl36Oz3MohvZqVJRXZT1B1VCzOhytaJZfhWLejO0SXheMyJ5O8YgVM9J5wIm3JopMl0NHAM7mYuMWLutE0tvYmKU0VINJx9i6Z3Vj9FJHnfrTfevD6sVbNPkXUKpN40lsJ4XSuFFR2uM7mwYz7rSSqPRplFK+U82Sy2wTHlUU4VFUyLVe1avVtb1IIBslsOHVYWgiQmpxJxMksuZLATiVMNcvoEB6unVeJ6k7Tnj+yiVpGkyyLXoQuuDg4gGUIKl55XnIdpjbi7k24N4lkdCBNZUUCkU5MkMDDA6KlPLdSNVjXI5kknVvUO9Rz1ljszEeeYZJU65HBw+HCZLg1EOx49LdRfd6YD5+bCKOi21nzWkSUslEggh0SBgYUFCEqaMH5xkZLlueA0aldLzK+7WjQGuM3hi9cWma6q7ceq206xrovMsMtmjU6o1jNK6dmPbTVWOzLaRoWPiZp+m0j6/YAqvFc6EZs/vTPtEx5niGrFYjHq9LnmNQdBEZW9dG6N/RON15g/lbbVeUxBghM60AGI6rF80PMxBbx3j47JYXHcdAreUSnDllRw+7vKDH8hvzsR+WTyCwJQIO35c1hI9mZ2gKh6gxhaTScPy1IrQoWbyB/E8UzKps1PlwajJoC1680FhuVXfCu/LD9siRfRwk7unLb8o+cQoFs+jnl7NzIy5XJnYEQuyszOENvRhHbsuzV2py3FN8FC/gCXiZqdQeE0/RfLm9GKgf296py1D77+kB2iHnRn+MxQeLG0ALjWaPFI1mmDjtraTHOOTRiR+ZdtCzpgsCMN3rXdIPLjly9mfeTkf/agc63VbqnD77ZIrt3kz5de/jbExgQt7bclhM3G/4WG4+GKCQH5PMS1Wv4oT68yInrSKtaVS1Ecul99374bRUQoFuYxcTg5n3f95/FKJVCZDdfNrmJiQ71/6UhWzy2RM0rcTVA2ppliUP2dnpQpRwj8q51y1SpOxw1JiyNw8cULFFqPEKjU/dYdxk2qmrC/bxtyfmYPqt3lV5KarC2MAl0qKFGTbTQrD7LfUiKJQJ3UVF7mJdAA7WQha1rxTGpc0r+VNctRqMKp92trk31Ky+wuj8FpvLmqdnorgEt12qf2W2tZsV69j25a8a4N9h/JxEjTZIjhBQHOAeIn7sG2arM2BAVSTLGB4mH0TUuWkr0+Y1N3t0xL5v/JKyul+bFss3rVZlYs3MsKRjl7KFQsnqNLdWSablVNMTSEsNx05V1rIsetGoOqRfEGNI+iQnecRxu+UpbliharwoDRq2Y8UolaFPnVMsxXW0AqvlfBhflcrpBXUjOdgrjECN5qdo9AHnNSTy6zMrstiPWZO0XSoUwTRzPyM3gjNXRKarj1yTfrLJZGFlon/QsXwWsep4t6nYpvOz89DLEaHKmw+N4fclzLxo/e9sICw+rQHYdum359WCEEA6wZromV8H175Su6+W/TApk0IBqm0zyQ9VCoyB4aH1clGRhgfV15MPg9PPMHy5QqWT6bCgHMQmA4HugBmI7lCFKVud5BOm16UQ0Oqjd3UFG5fH1x/Pfm87D8yImkw1UCqLtXdeMg4Vgrq8GFMX77ebF2O39Zm8gFdV8XgBSc2pWnN3NJVQyJyoYuqG0FWnqROggvTdTBGoFEaah9VZ8GMqPIgkLKH6tWGIYmo9RLJw1tcDBEN4wPok9q28dQIJOfPCmpN9qPevlXO9DYWdYE8tWFrn5lAEx3/SVPohR+tRJSlFOBSf7dueypIJ/r94uIic75vJjgQoTFFFibXZWFG/a0kWr+YpoXdXipVQaqXeF6KlF9mXVq5eJ5H/U1v5oEHROZevWFa5SdlKdv9lC6+jmRSCjavso7R6x7lyNxqZt212KWIt+f7MDzM+KhxFokXDmI61vb1MV1x8MM5Kd6f61LxHTwvjmXbWH5Yi7DuxrGUwsxkI8zqTIayL7UuV6xQUG4sJgrTjwSYNUHEDwyDT8M5OvXD0Q84kiM0M4PpL5hK1k1AMaEgtbrtYCnlKs899LKNtxhZMNqsxhKZCpbygiPQDEIO0DJSwyHAIVDerZ7w2sM0ibER5VrDIfDBdS0ziY2s/Scru9PB+acigAHMqBftKdg+2uA1ashoaAzLCo0q9a9USjA2JnL26uSjcPvdMDRE9aN/x+23i6K45x54uf0IPDwB27bx2MJ6eA6uOOcQjOVhaIhD9HL4sIjxli3Ae8dh40bm5wWOtKiLdsznYXSUDRuuJQjg0fEUvp+ivX2MizsOSK5CEEAmg22LUtPpdVx6Kbz1rUpTirG5dStS9i5IMu32sGeHxL3653MwM0NtcB3fvluO0R8cgHt2ycPr7qacWcPYA6p1kWJ0Trs9xuNLeTWpoDQnFU3IZqkGDp6nQhUQdiqxVWEL7e0l5ee6l8ACgoIKoat0HjyP+YrKF9RwfHp1M9EkCFhcdEKERJ3S9MODpni2Row8L9LhPGo5RjRU3ZUKKwsL4XypE2GyR8hrTakTyhKoYxFUImEPoLPTMUbmL3R7oP+s8cyzz4Jl8clPfohEAsyM8DxdwMG81M5O9R4iIL1O2jRKUrOLAoX527bpdi5J3gn5MRKD831ZBKZJyTFGR0lM7CWTkbl8oJiikVoJtk33ippJaTDlyzIZJguWgXQSdjU8vusyXXFMuKCrC6ziUcOWM/FnO0xU9zyk0K3qvjk1Jdc3WRCLLkGZ7vaw08E8Hewft3RKFRQKOIVDYuGq6ysH0sTVwC/6H2JJTxZkf63sslkwrdMRgde6JerNnaQ8ootvJGY6NRU+EtuO9AzT/9Q+2kqtVMJLnJ2N7KOLCkagXTzpKaa/MgZQxLuO/qBDsy/EOBN0eaax69FHwbL413/9JtmsAiSyWRgY0DrDhLBNJxEdc1I5AboFou8T/pHLEXfr5PPCI8nlENbjAw/A4cP84AfSTMHsjHhO550n57FQsj4wwOHD6lEWCgJV5nKQzbJrlxyyUJBLXhErwde/Lu9gcJBDShHv2SPX3+MfFHaYSgDX1VUsv9oU2yoWlXKfmYHZWRykF2SlAsadLRahq4uJibA/tA4qJpOq8wCEXVDqoXGmY17G2YsoEeOheWG3Cs0XaJKziLEdBDQFpKu+FcImQdAMTypjU/fjo9EwOX7m/ESuS39YwmrTcqdbpkW9uPAgivEcKe0XJZU1jSBoPtX/1xReay5d68Q+nSd4Kthz+cqV0NaGbYtQln3HVHU/91x5ORr+M0KuJqRUNlAH0srODnNJopi3NopKJcIgf6WClTuIylaQiTgwIILw1FM4uQN4niCfhQLoD87EfqnEPmVRzfRDMqlDDbiugjN123DfN725gkAttPpDsShFJIpQdlcTBNCfqZKqHBKPZWg9016v7ugi9T0rFepeQuCkiOLXdHQnqBo4tJ5MmYeWcGsmR8psrOKP2ntctswUxRBliXpWmYxRcMePh95mwqsTD8ok3Jau5+rYpNP48zEqlTDUk8lAgnIIT+ntMxmqdsK0F1pYkIVWX5NpMaS2r3sJqsSFCauqRSST4pU6QbU5qK8WLN3leWGB5rqnP6WxlGLc/fjj0NbGX915B319isA0MgIdHSTsqnmHmtThL7ZjmtspApZOv3NdqGbXSEA6nYZdu7j5ZkEgduwAbrlFsMV//Vd+Y6swFR/ZE2fSWyOGYT5PT3Efb3iDMrbuvpsD9lpuugn+4j1lQUO2bYP3vIf64Fo2bpQKYX19aoouLkqAbWjI5PPNzYm3JiXFlHa88EKqg+t1+UoRsEiyt74fVq2C4WFqOIyMiDdIOi03pNoe6A7nySQyaTZsMDBtNhsp7RdZvOfmRKEa7lgkrAKYxFi9fuhwhSEVRQxtPbW0IdJkgEW2S6eVAedJ6yuIcPFct2lqaIJaeHBOwh3rbrzpOLqajVFqGv4kkoiuDMUgkHXD8csmCtMKcS4VfvyFU3inizXoEd2idfullFyrorz/85+HWIy1a9fT3q68I9uGvj4WF0UwrKBmXrTx+FQOjYG5wODaJ8V37Ob8tirxMEO2UjExC9eFyWC1BBdWrYJcjl73KIODMnf3TzhSSd22YWKC7thR4m6daT/e1LMu7itloZJ79ffZrPKw9MqfTuO6osgS/lF8Hw7k41TTvZIikD9IyqsZb8fg9S0wXYfTMPW0y0HcGARWadqwT+t22MvLWAK+jxNUjUJubxdlMDUFNS8VTi5lcXqePBZNxy5XLLNNHUtYn1oJK9Pc7WjgeQLZ6O70dS8Rxi4i1xJ36wa+6eyUf7r+Ytl35Jp0FYygJp0TkK4U2jOs+uo6orER5TJqT7+9vYWV958wTjU3WpXe2gsvhEaDT3zyPoJA1YNUPeKOzAirVs+JIFAki6hiT6cNSqBqOgiV//zzwfcZGRH96fvwyG5HBfKAhx5iyxY51Y4dIgP6ZFZQo6ewF+67j2IR3v9+eHBnQlb/e+6B7dsplcRZ1D0ZPQ+x7nRlFMTzevppyW7I5TCVTvi3fyP+8OfZsEHO/9hzPTya72XvqEX3ihov31gTBanicRFCqTzbzdcK5nr8OD3BIbq7Rc6qvsQ3E/5RursEdjwwYVFO9oY012KR7hU1I3euG1EOvi9MSQVLanENAqBUCttlRrgBbW0Rz1rNDVM9SlH9TdNn5QVqdDW6bkV1G7ZtYnmnCrBJOET+jsp2tBEs0AStGlKOOodW0NFttVi5LksQan5Ox5kgmKU8ulZFeKpY3qkUnR6rVq0C4NJLLxOjKwJTmXJCaqVusjTsSL+wqBVDuIa2KgbpKCA64JC/WibcxAQ9wSEGBuTY4+NwKOiR2VSpwNgYawaEJVUsKos7QvXXh9eIkudhik/X0j3U3bi0s6kcJYHk4U0WLMokqGMJG1PRRpsEPxKw8TzxdlpZkHXboe7GaRBrPj+EMFdEQbiummgtQTX9vBYWMCXemkbkWVtIG5+mAH4Uyom61rYN9XB7rbyatov8i8qQJrlEF5kgCBmmZugfWuAXk5KyxLvS1/MfGadjJC9lHJ5u/kS3v/yyyyAWo7s7Y65X422zs2FfYAoFEl49hO71UNBbJgMXXyxflYevgYDf4FAAAQAASURBVDe8QRb/hz7LrbeK8bVjB9Te/nvipQHO9gd53Wbx9L7/fZj2ejEQhO/DsmUkk+I4pdM0eVd6gTZIQ2Va3KaBAbjkEkA8sg0bZDp/9auYLgOMjkKh0IQeaANpuiLv28ofEo3pukxMhOFx8nlTV5fzzoNkkhUrwnS7MglRWL5Pwq4az1fHvUkmTemuJpKcmoiLi+FnPQe03M/MRAxRBY+aeREJl5j3G4l9G0MlCJrnBRhZbh1m3qiFMCweYTd5k5ppaiBNhNBSxzJhnii8H4Vmm4peqHhf07VFxs+twtPjdCSVpSby6eIVp1OG0ZFKpyEW4zOf+VtReJEAapQJGGVFnfT0Iwuavh6znVpI9UvUFdF701UTbDjS0UsuJ1DL8DD0uoriPDAAGzZwKG+xbJlYxt2dZbm+gTWU7RR1LBJ2lZRXM/Tt6YowKB1qYSzO85gOdOsdgfWs4lG5GIXZaI82YVeNNVslzsKCIqioNIc6lkkd9H2I1eaxStOSCqEEu+pbYexACXhTbpNaWerJlGk0rR6zxCd1jC3yrHXwOgjEiqxUMNajY9eFRq4sWf0SFmnj+PGw6ax5Ny1EC80ibY3fzcwYfpEU7a6Um1iJUc0YRTFNP8LoPUQWnFMYymc9zian7mxHdHs3Hsdub2+28HXTR0Q+4nYNXJdyxaLRiBASwCyWqv8oto0UVdi9WxZ3RdLq65PEb2f3I3L8l71MkA3bZtMmBRcCB4sJjrT1yPmff56BgZY0WIWBR/hZogz1i9DQg++btkSFgiKVPPywBBSzWbjxRv793+X7Ky6rs2KFdFXI52VfXYQh2hvOGL+6W7rvU/cSJl6uRb9QUMnhtk0imMYpHMLkIShjbXY2EnZu1WxqvriuyPHx43Lfs7MqNS1S0MIQRNQFKjTUlCqLu3UTT4zOS6ODVIAvEgJUJK16c7WTljieTreJzrGmziWBbiyr5qxKjG+KQyol2mpP6mtpWL8geXhLxdrOlFN3pvjd2Y6/fP/7IRYjkUiIZRKBB9LpSNUCwl5y0VidgTOXuj4lFFoxa6EwC64a2to/cUJBflFSixK+VrqxFYi3qLH1aHfhaOwwuvjrikXGAlS/1XCYLokiSacxZJGaK5XxT5yIEDYilWTM4aMnVUKrfzPwjHpecaqhdstkjLVs2wJXJtxaWLNQvYRyEDcfdW5Re7uiflNbehK6LnUvYSZgZ6co7WQyUiRAK6xkUmJyKq9QL/ZNsQg9IkquKdk9EuhvupbIvyi007TtT3CcKdeuddvW7RcWFuiMx40suC7w4hdDOm0UCr4PyeTJsKyKDSc8QSS0QWTK9yCipclNmQwhoqJka7IUN6SPYlEqrHQ/9qBoqptv5qabRDSuevazUkfM9/mGfS3btgmcee3wUVLf+bKkQRw5Itnel13GgQ1v4Z575DJe+lL4H79bbSrlsr+QMjmgmoA1NATrvINh876NGyn3rTNM6J7SfpMCoRXK1JSpBohVPIptR9pdaQWsNbZSZEEQ2oBBQEiM8qSer7bALOrMzopy1EJpPDU4GSJU8KtZbwJJEdBdF7SSjNifRmO1enxN/6LzTG2kp4HKUAqZlk1eQ8saFpW9yPGDANMdfWGBZpJNZCzx1c/XOJt0hB83ufxUilKPP/zDPwk/qDhVYMpW6f1OcQ4lBMa6X+Ic+vzm3euN02mz4BuCWokwFhVIHUlLw+eRPnSW6xpmpRYkrQTlfG5YdJAwZGEuROEHunkjiEJ2DMXOzOMmNp4ifwJyiQ2rzTS+tXwhtiRsGzwXsKnZcY4fF6O2N+uG9+/7pNNxwzGxqFMNHGZmoKsrRdwTar9Jd6AGpQqO65JMqrJJSAL8jKoOs2pVAkvdr1Up47Yt0L1C9bBTRgF2HDut9w8X/rgdmeWubeocam/SdS1clZNlUTf3qh+I1NjUlG8L3W/QceU9OtRw3CXivP9J42yMwkq5TGLZsuYFTwnYwoK8w1TGVfDZEl3blSGgobUgIIS25+YM81Pn6a3JZEQpTUxAJkOQ7WViQp65YfQ+95zBsE2YoatLGEW+r3lN8n06LdBiqQTT06L0CgW8bBjaBekIkurrk1peuRxrM9OMX5AyDn+hIIfvXxXef3TVdV2MUVYlTjybhXyerq5I7FLl5HV2Svku/Z3BtDMZUzxbw7GuS1M4wdaVnZJJYzDpcy9blghj4mpCRhVek5xpLyu6jqnz6Gatto3EyXwfV9XdNcdSxD0rqugiClAr9mi+alMNTXNP6jzaBW7t1+e6BJHr0cx411VVYCLj517htY5TsSx/3HG6Y8Tjy4CGeYmnXZQiCs5Z4qkbxay20zR6z4OUHYHERkY4WEyY2rtrkkdhoiAbDg0xXXFYmJE5XJ1ZlFYjYHB/PU6yfioVeXKuaxrF6kllksdt2zCkNMPRVqW+tHA6dh3PC+FYbZ36JYP8mmeqPbCEHT4ffWLHdenslGB5HUvy+9T16dzGECo+uUmsbgrZCg3KnyIjeoG1KuUm761ht5uOzXqyacWpr8FMaPXPLPbqdO3toUdpWHbRoc5VtyUPL+rYGTmApv6IS1msP6lxJuNuqW3N53qdhYjVbv4IAuiIxHHUiMVoWvimS2F6zPq+aVOI/eDAtUxMQHoUbrhB9b0bGxNo9OrrKJWgN1mm162R3OyYWPe0vZrU1VebVkMDA1KgwSSUtrU1w69RL2TZMrjwQlPYOpsV1DSZVPMwnYbrr4fNm9lfSOG6wj2xStMcKKY4fhyqmX5RZkoLRmO75EtQKMjv6TS1bD+7d4muvfRSYGyM1PAwh/IWdnq19MHTmLn+l05TKWHYu03oi4KH9XzVjl/05RjloRSI2F7NRnqruGpvTBd218zIuTnQ7YGioAkVv1nRqR/qthPO5cg5lkK+WhWwY+BUJ9xJGUtawbVCm63j5xbSPNU4G7LKUtv+KAH9CwYGoNHg0KEfSpH4lsmuA8b6RegF7KSFQsXpooxR/cY0f0PTgKfdHo50SEC+n4Nck9zHGm+SI43VPFJax6OFfqqBQ6p4gO4ffpdE4QANq41DxTiHikKFt/yqYQc6thQ51rJXcxOUEYo9SJmweOUojl+mFlhM+3HKgVJ2ds0sJkEgf9bcMFcw4daYmZHCtzVXmHEppk0h4emSRS2sANakbOpuXP6uVEjYwsacmoJapldWn0qF7s4yPRl5XzXEu2tqReL74eTRUGKLso84q81ME9uOFo6gaSdoypPT8Tu91mijPkqGaIU26268CaLSxJwo4hOFdPWpX0hlB81Q5ZmQj9b5Mn3iBEeLxeZrVO9Uh520wRYEqrFCxMNIJlXqh1en5qU48pKXczB9Of3ZGtcWPs36sU+TTML7P57g/45exZFz15MoHqQ3/6iwWCYmyOcl5KePx9CQYbn8j/8hBKp9510nFaQXF1kz/iB33CFw69/d6/Cov14C3q4r+N8DD9Dzqffythvl/dx1F/zG2xPwnvfIvd19N2vHv8iGDcpwU8SbXE4yF44cd8x8cAqHGBxUMjUyItemJo6TP8jGjXL/Y2MwmVnPwZxFR4diTmuM13XlJtSir3MbZ2cVO1Wzv3w/ZIWrZ3HuuUrcXJdjx1R0wMAwygitlI0AG7KwCtXo1IFo2COS+mjKvTTNmahQRxU2IfQYBM3enYHvo5OJCFQakZnoD5qUFtWvZvdf1Dy8M6UhtG53Nqy0U42tW7ZAo8HRo1PUamAAdeR/dSyzIBqSRBAYhpKuoK9L60DLyw7/1/TiTTWEdJr60DpIp+lun2bjRkxeXn1gjRBXkkliwYLJB7JtqNmqSauWCJqNWx2DAkXDV5PCtsXL0wy76YpKhA0CUl7NsMs03EIQsGpVGPuveSmqbopaYBF366TcKh3M47qKROLKuQxzL6JFdDUJo5gitE4drNYMr9DjC0cdy0C4htEWhGkBrawxMAZra8ih2Q2LDP2x9adWJWWs1ZbjWNTlWpTsBUGzx/VCK7vWOfGjIiNrLriAWKNBrVYPvQnFwtAJ/NqI0etVNJapbYg6Fg41urvE0JksOsJE6esjHpR51avgl35J3nc53U99w1Wi1IpF1g7UzByYmlLpJ0owuxcneeUr5fWWr76O+o1vgbY2ekv7ePvbJbY2Ogr/+CUH+vtFIdm2dGH4whfYtk3OGwQqteGOOyR5b3SU1M4vkpjYS9l3mJiQe0smlUxGMMcgUPNBu7I6hocYl0ND4RweH5cYuJkHms1Tr0M2S5mEQX90UW7ATOCoh9fkdUU9PD0ZPC9kcavFoAmWrlSiwIuZJ9qw6+pCritiqEfXuXLFarL8rKAm+XMqEX9hobnAex2riZHdqsz0ZTXNo8h59blbakab8Quj8M7kpf1Htm0dl6xbB0HAP/zDPSGbaXQUZ2K/YSxrfKWtLZIWUCxKgjEiDIaurt52k5KjuSqDZlNqLMEoHtfFqpSNwWauV0FzeqHXhZ8BIyi6b5j+3aqU5Z8ikNRwqAYhpEapRMJTHbp1nKAVQ4gobL2fg8o/04wt12XB6qBQEGF3AmGfOpXppuLP9WTK5OFZ1EMiQyCd0HXCN+pxtzbVjVzOqXRV+A4i2i1Go2l7E4/UVkGUgEJ4/KijqB9HqyydkrUWubDoNZ7J2/ppDi1rtVqNxsICn/70xxgdVXltTz0FDz9MNit642AhbvLt2tsVe1d5QLqaimkrNDpKyi5TLMIhdw21DddQJiFsyIvKpHJ7SZQOSf3XocuFGOILpLl2sE53Z1ly0ZIp427nciI6Cf8o1le/LMl1ySQPPyy5eMkkvPGV01K6JZ+XHMC3v51DV7+Z3bsFbrzxRnjN1jp85zviynV0wIYN7GU999wjiurSS2Fd7kFSD38aSiUms5fz6MRqikXlEeVy8myCgH25BJNuv6Qf+EfNex8YIMzh08HGvj7RLrZNwq4S96dPTulRwjc3h4mBViohtE6ppFNpTbyi7saZnVXVXCJ5w6YoQ8TL0p6svlCjBBcXoVQKPUP1gzZkToI71MTU8TZNwNPHq/pipGol7FBrYmCb+aFgsKaauMpDbUpBiowX2Hb86YwfdZFoTao9k9J70fnng23TZoFlnZAGqsPDYNsMZJsFo7PVHbdVrTs1pOGng0NdxZbkJcftuklIdpICI2YyUqHDSiabvXs7rNRSCywcJbixYEFgokByWYygKCVrIEX9XYS77SiGqMHWlYla9ZUXoMr8aFhWtsEcw4Xm721d9d/BdaHdbmgnMRzqg/TcckAhOcLA9M01ak/Q85p0rAz1jCMoqTSudeMR/WKb2JgNOIFv9q0FFov1mIGlVb2ck7RlNH/SUu9OT9joP7mcSEPXlh+jTFmzgBDG/Szzfv9zFN/pvLxTzau5+QVwHL70T/fzVx/6XVlwX/lKybtzawwPO8bbB8UYVL3YtBc2MKDfsy01MUsJUxjdyR2Q5p7ZLFU/gTu8XhoVa7kMwHUdk7gdL5XoTtscysdJbvl1KhV49zvr8LnPgXcRBy64Dvui65g6LOl227ap516piGugcuMglKGBAbjiCoQoc845kh+hFuT1yYMM3NTPrl1q7m/aBLZNOYiTtEMOWDx/QCDYCy80xlqxCM8tW82ll0JifB+DQ+vYuVNku0e7jCMjYpgpYZ8OElQqcahECOLj43Kwvj6BkT258OeeFQ7O+mEVc08qMS6V4PBhrMEqlUqcmRmIq5st5UVm45pJnF4NqKmtcqR0GoVBd1QOsoknViqksp7pwqAVcjVwcD3HVGKx7cj6EZExmQdhGMKsQYGQcmwbWRMA7IRUg+pyiLu2ibtHY+F6/MIovFNVglhKeZ3pu2gs45QLQEwq6icSXVLctWRDXx+VghICZdLNTakCr5WKWayjD12/yGjjUiBUNtRMsJcA4wEZ6nAQHsf2dA6hLKINW7A+/fK11+MoeEOCylYId6gFvXUxN4SVQJortrVBAoFaLM/D9+MESnG7tljvVhDgJJNUfQffD8usmT52MzMm/ue6cdLpuLHi4kElFNRkUrzMQBJtO20hcjp+GQrCvsRLqX58Fp6XkNiaMk6jMmGUhrr3sJu5bQLkti2QZh1Lnk90wjThQ02PrOknx5ZnrQ1keXxqktqOvEP1o8RTbbVvGKA3HahNnOKFG0vNibNJ+9HbZFanIRbjrz7wAUD0AROyGk4W5d2nvBoUSyy0RRqMRkYQwGTJoSeThFyOTFbYhAm3Fga0g7CLParodhx5Po4d4LpxRebqxbZVR4KHHyaRybC/dDnBxW/GtmHtQB3uv5/+oSGmM2spFKQBQzrdy8teVoa5Knz4w7BnDz233EIy+Rbuu0881yuuWMMrXwmp3F7TFZ2BAbzb/4zxcflY2Zigo0P0Zk9hL2vTaYm/x5IClw4NUSpJMnzKLlNzJde1Z3DQeKIDA+jJISgOdbEUXJf8eAhn6nS6hGaR+D4dHY7JV1ixYjXHjgnEm8hkdDlcKPrG9TPQZCXsN2dieJEhSqYCts2yZatDA62jwzSGhch+QYDnOVAJjMFot8iR4RBE6mJGYVHDklY/6GLTrqvUoe8TT3uAFUVCzTFPCj/wCzS00judQlvKSj1V6sJSii86Gg2wDPc/jMPpfLpaIC0yNJRolFbrNdqavVk32wW+tpaCZgUXGZKkGRjPxAiqHJIYjab70N8DTZBcq4GwFO6vh6mQHnGhFmYinpgfQn91pQBtOxTCuu1gpdMwNYVth/yNptw47WmqZ2iOrb6rY0n1d+XN+RHYxlSBJ25iYVbLfemOB5bysKKEFpDn1mQd2rqtSfN2UavTibwDzXJr8jKj8hWZ2XpC6y7Prhvpst70wl64cTaxu9OhHvf/0z8BYHd0ENQjQIEickTrNKLqjZofgpDMFd1Py4beT/dl1M/SxLz183Fd4n6VNQMuVV9y4jIZi3hbG6TTlAriLfakRfGSzTKdWcvOnaJ4tm0TJXPgO8ek3MsNN8ixV65kQXliK1cKQTP+qY/BsWMSX7z5ZrAlb/alL7X4wQ/k1vr6VKHpp56Cq68ml4NjXatZq2qkZbNKDAIbJ6iSycQB23hsxSL0btggSk/nIKkuE+m0Q1tbC7oRoYLOl9TDrFTw3Ag/pSJy5/vh9vWIrAqiUWPZMsesYdEYGWA838UggnjOzxMPytheognNkua3ET8tUB1DWvJyWxGR6I+WRjci65C+7+hxo95gq50aHb9QCk+PU1mip9vmdNu2jkajAfU6jVibwDe+L7h/tp9CQSaaVSyCao6aStrGGwoCRyCuoEYNh0rFkuLBpaNhQBjHyHhPEqmYkF5thFKCxk64mEcUpPYAo/ehF4cmjw0IbCFzOGpB0lT8uF0z+WQJzzaEHCeZBHVtXl8Kq1SijsWxY3Ke+LEJY57ur/RSLAopLZ7bj+O6HLL72b0bli+PE4934EzsJ6Uzivv6qPWtYWxcwhyeJwtRr6do6rosxsgIuVJKtRJz6OoKy3w6hUPGsyYtVr5paJvtNbVDs9m4eBy+j6UTeJSCBmgQC4MW6p3oyR0EEmjv6oJ4pRi2uu7rM3mDeigUWKjl+oVG2Wt2pIqKHUI5BuKJ5OuZBeQFGv+RFJ53/Pf/zh+9612szvTw6KMK4VAFKqeWrWV2FtZk5Hku2inm5+HIXEJyHe+7D2toiAn7cpWcbZFIp0O4bNce6OtjYkK19/GrlAPJw3SCqiAcKuG6aifwSyGRFjBe0cQEXDVSk8TzIODIRz5PZuW3gWOcOPEaEr9yJezezeJb3yrMxNs+wO3br+VDW8vAMd7+9pV8/FUPwrJf5Siw+uqrKb/zf3HbbSJ/AwPy3rJZePkm8SDZtQv6+vjaeC933y1MT7Zsg6Ehtr/+73jnO2Hjxjh33w3W3Z+QkoHbtjHhrpfrH86GVMhcDmybg0UhrKxNTsKxEnZ2LU89BdlLe3BUF9mODiUnySTPPSMpiX190FMp0uv5kPRgXJ7Z1JQ8vkwGMTBxOHECVq2ysDQb2ffJZHoFMvZWCxt1Qs8loFaDXA4nmZQ1whZPrFKSy0ipGI5uhRXXSi8IcDwPW8HROu4vDr0jK5g6v56LQVpSTJYtg0RXOI/QSjtq2Nr1SBt1Lec/p+NHSSM4U6pCK3xzJrZmTMGZELEkZmaIvMcm4olmbbZeu6nDpzNqkULKx49HjqNyeayK1LTUC7OB69QFROM/rTDcSSSKyD7RruSOXyZuiyLWLUvqWKLEdHkTtZ+GHCYmRB/NziI7PPWUyT3SBDO9YGtm8uysqumqKWmRuoTj45LXqwurGMxG12VSOUCaheX7kaIcEWp2vHKURGXSVIAJgvAxP/NMWO8wegCreNR4iDUc08xWQ536X1eX8ji1dlIGhu4m3ZqeYL4wdaDkmSzVskjXJjUsxqYX+8KMpQzEpZibp5obtrr4Wq0Wri/qnufnI/NB3UddoXMAHD4MlYpRUnNzIbxl+VXTE0nbCVXJBBMavfqhnulhOkgQ96dJjX6DnuAQe/bARz6CJMlVKmzdirBTnn0W0mlpK8QxoCy6+aKLmAaKAN/6Fgm7qqq7PA78u1zvnj3kQPCakREmJkSRXHJJGJLM5SLzXZWZ0co7xTQ88YTMEeCZZxZDkk9fnzyfp57SjRqMvNfduPweLaaqizxT5rzzlPwolubiIkYu5+eNzg9bVEGTG2Q8RVvyaPXcNUFytV1TO6Lw8kLqvz5QqWTmke9jUo2i6FJ0UdJMTF3E+qRyafqkvhSOX7ZMeDKa2BINH+jNzbxrGT+3Cu9MntjZ5N4ttf2ptm3d3ovHefnLXyk5RQCLi2gKeRBgfHMDZ0WhAd+nhsOxY6rnlfJyal7KsKp08eUozKf7oVlBTZAFBQtFyzQ2vXkwnpqBTNUHXZPOzCEthEpBRj62fJD/1RBWl+eJlactRM47D7JZfF/qfJqgtoJCdMFoyyJknyWTMDNj+vZ1dpqYejMTVM0GDXvoHlpmtGxnTqgWh2jaxcIC4UTSlOwotZRmGWuFXsz51DmtoEZHR1P4Ikw90opVX5d6WfqUWskBxmM1bNWoR/gCjdOl6JwJ1gfV8RxwHZvFxWa2sSGrKOMhGqchnxdo0HVNndUTJ8RzSzEtQqAeSKkkus91VSV/dRANySWTiLZJJjlEL/k8XHABxpgCJP/gVa8C4KrBaeASoCb5e319BEAbSL0622ZoCOClwDnSmujWW+kFKgBf+hLrM5N4npx2bEz+bxjFMzNy/cVic4urTAZe/GKKRWhvb6O7W3lJU1NyExddRD6v5HRc4I4ggCMzceZjbkgM0R3ZXVfXcTdzP0qai4YNzActj0Fg8uC0ARllbhuZVYzKaIFnLbtNRnQk106jIm1tzbwDo8iic0GN6PG1Ao5eg54Hi4vquEo2o3rNsU+fxvNzq/CWGqfyzH4Ub65121NN8orSPvPzyItQdf2iXk0T80gJhEWdmi2teVwXuucPQalEfeRyJiZUZRO3SkeHUkbKUjwyZYmVWSpJtXXqprcaRNZDJRwWdRbrMUolWVBNsngQNClJoCkYUEUgg44OBRPqXnXKS5udlUs4rspy9SSr0i3drYd8atdtFjrlRdk25npi876pJM/AgCjKIDCLw8yMmgATE2YhM8nEhLTjri75qaOD0LSLxDP0hWjLVV/X/LxS2tFIt/oXjX3Wscxiq702E2fQkzwQ0tHsbHMahNk2qiUjsRM9dNJ81ItcarxQjl7rnDlVPPtUqMeJEycAqFWr+L7Ku6tU4LnnTOMC3bleQ8I9Xlkgv2SS6vBVZj54HqGrpHJOy7ZA2LOzSPHy8XGwbY5MWViVMk6gvDEVGNPUe5MyVChIxaEgkLjbpk1QKHDZZS8C+vn614EbbsBHfD6eeIK9Yw4f/ShAjRe/+GK2bJEuBtbVV+MA07kc5PPs2gX/+q/yzoaGVBP0XE4uNpuFwUGTeqe0nOmzp/s42jaYxNUgaGJf67iabs+j5Qow1ZM8T5G4EJk2SiUIc+qainXriaAUWRCovD/F/l65MqIg1fYa+tQ6M5IDj3mx+pojAmzWR3VfrkuzoKv9ojZq0xzTo2VSLC6GBRq03MRdma8aIcO2f3HaA7WO6GQ8HRz5H4lVRMeFAwMcO3YsTDxXGHPUutWutkXdxMGqvkWxKN5Pf1JZsRs36mpKJHzpetDZqSxZ24ZMhhMnlDeolNaRKVmIHWrNyENEcvSfpttAxJvRVU+KRZUGoPDYOFWT7G06IGSz1IfWcaQh+P3gIHTPHoRCgbobF1hUX0AyyTQp8nmZw1buIAQB1XQvvi9G9hWX1UUQBwdNp3iCgJod54kn5JouuwzWewekfIbnwcgI5exajszEjZWr/2UyklzMxITAiwNrKHs9koelH4Qa+t6a8vaUEWBWyno9zFlEJnhXlyw4plivsWwQKnepGbFctkz1GaQaBiZUfUNdlSKqn/VYUtnZOqXjxxDUsxinM+xat1lqW9u2odFg8vBhfF8p8EoF5ufN4+3sBFyXxx9XO919t3hfN97IQw/JYzdEDq3wlOzNzRHCbJqB4brCft6zB8bHmZiAR8ZXUxu+3MjZ226sCdvS9/nEvXG+OL5WTjQ6Cuk0jz++CCS4/XbgjW9kHDgXqD75LH/yJ3KMLVsSZDJyO4mJvYx/61vsA1IbNvBH91/OZz7zQ0olCQ3eeKMKuSWTIhu7d8PEBLt2SUZENd0rN1EoaE4Js7Nqzu/YIQagilc+9xzyQPr6qOGQzYJHJWxzpGRWRwRqbkKUY2Wa7u7wd+P96ni05xlFQTJpRFinHFilabq6InNDyeyJExilZ1Gnr0+mrkFw9AtUFqv2vDs6MCEJU+QhIvz1ZMoUodfoj+muoYlNCh2IWqxtbQryVuEekLV1aipSUB8kvhiV1dNK+c/RaGWaRaGY6Ofod6cbp1OMjUaDpycmaLQf4uUvv6nJ7AqTL90QZlR/1JMpZqZUF3DV5udQch1BXoQnTlXwElc6E9exICuKIptV5AeFIc7mlLNTqUAyxcJCpBZdMslkQdqw9GbrobKLwIOTBcvEFuL+dChcvo+D/G06DlRCb6qrS3lzuZJUY+/r48SJBLOzDul0v4JVZbFIVQ5BTm5ufFxOoSdjozNOLbkaJxcqtePnrufb35bLff3rEZwoCMQDTKdJeHUSbsB0xTE1AnVZqqj7YyH1PK3iUUNomCwIc8+2Zf6kkhFSSNR1sqU9UF0VsdWMQL2Qu656Tyo2qC+gMC7r9LJl8hi7V9VD7ahPqoSjjlQUcWyou2EdTn0ptq3IQtpiSSaxk/HW+PvPzFi1ahXEYrSrFkFtbciD6ugAwjy0yYrE31a1l0ShbdvGfr+fc84J4eZkEigEBmI4Mpdgfj60i2o4Uqi8UsHRq9rQEGN3yTYONRy/xMjIalUBAti0ieK9UhwFkjz2q3/Bv9wF/+2/wXves57+W18HhQLX9vUx9l//KzfeKO/6hhtQsKZSMrtHWQMMui780z+xYytccMGL+MhHoGfsa9Q2XSsKxLZDtOOGG1j+SXjXuyC++xviPt1wA2N7RG4HBwlja0rBPPGEpHZccakH4+Nyn2qxN6ka6TSHgh7y43KNztheMRq9FO0VTHsvzQljyJfgdSZDyesllc2ahrDGiHNDTwwILbFkkkpOnonnAfk83dksB06I0W1iMCrebRWPYgUB6bQyOCsCjZR9RYpz1XxTLN4o8mLQS88RQpmS/5qbwPE8w9o2MUm1Q2AnzJqgvVBKJcKYk4yfW4Wn4aZWiv/ZMDJbleGZtm8djUYD2tqINepUKgUmKxfTk8nA+DiZzHphZmaSOH4Zz0swWXToGRjAKk3TPV+BYxVqA2sZHxc56e9TFSuCOI4tFqA14HEobwnEyTS4LtNBAjedIF6apj+rErBVkKSrSyXdRtoUTR9rEHWHpkuWSe3pT5ehMAEFDwYGmC5Zkt+mIMxDBek23t0N3bGjUJAJVMv0Sk5PXx9ksxwsiqANDqoeZkFAPJ1W5cR6iWcy1G2HtHKITpyAri6H2GxF+ppNTMDKldTf9GY++2Hxom66CdbaB0RyN2yQC1btVqrZNezaJfpmYEBN9on9GKtAdW2wtOmqSjEVc+JV63Y/QLOWiSgjHYOPJsFq7yqVrMNEXr7IZKhne5maCj1NPXE1g9Zos2iQXn2u4Ziq83qIsquHrZ6UZ6if3QsxThUGOFvU5NHd34VYjI9/7GPc8MbLOXIEsXhyOdZkq+TzcSPrV18N02NV0T4jIwwg1VH2j1uK4awOumoV9WSKFYHAdWUSjI7KK+4vjos8bNzIo+7L2X6HQIPXJr8L77wHhocpbv0tSt7lrL09w6Tdi6oVwQG/n2PH4H/dVhdI9atPiIzdcQeHvLXs2zXGyAj85m9C9w8ehb4+JukRw2/zZqy//Vt07sAtt8j0uuKyOjzsa34Z00GClNbyvs9FFymPY2BASrEsLDA4GKkuVijIwxka4mAhTldXxIvTB81mob1d2uj5DtlsDx4y7yR+KcrKqUzjuikxpvNiqPX1EfZXymZ55nG44sXA2BjxdJpSSRRTb1KMLBFPJb+ua2ppZrOqg0OlQtUX6DAIAMcJ547yugDcoZRKD1mNE1RN05ZooFsXgtbyZXuWsfNcL2WMeMnRlfQfz1NNqNXaNm2vJjeuQkTdgibE3boKtrbK+s/pOF1eHZyZnHK2ZJboPmZby9JJeFiWE1oTyaRpYKlfug5FGDqj63JkpSi77m7ozwrbrxZYqiJ/Say3vJwvhXhf2tvSEFk1UGW1giCSe6ZGpSLdm4FDpQR7x+NMFixSdpm1/l7684+A77PfXc8jhTWUKxap4gGc/EGqxNk3LsdeN1Sn+/m96NYMh+g1TpcOyGsY3vMQ9tkzz4DrsnOnrCdl38GqlA0qkclAvHBQyj+USjAywpHNb+ajH5VH9qpXwcsz++ELX5BnlkzC8DC14cs5slyUXbEotQ2vHTiIs/1BqFSoD69nX2G1PLcgCPOXAunKPjfX0hU9SgfT7EHbMbEikHiRVTxKEESsYG2JK7PUCmq0t4cIp34WpnSWcVtoxjzl1TX1FfM8peyiXqcr1Smamoe+AGOp+Lb+/kzjoosuAmC6XGZmJvQCWFjgyEyc0VHx+tYlD9HDpGDdW7ZQtx2c8X3g+5qkTKIkMW2yWY1QG5ZtJqPCAJUK3HgjH3ygn1wO/uymg7xt7mMGIt234be46y6lPB94gEwGHntMAIM1yaO82v8ifPSjMDTEIxe/g31b/ojpzFp67UnWvWSRbdug+8g+uOce2L2bu+6CCy/M85bbemHXLgr/9b/C+95HECjEYtcuGBzk9tvlsOPjyPvbsQPuvJPXbJymrQ0m7V54xSvg+uvJ5yVlZ8sWwgCg62p7TVjKo6Om/95k9nLyR9oNqCDUfUFwEpVJQ2Cpuin27IG9YxLLGxmRf1QqcN55TJcsVRhAHu40qZARreTOIEUqzpdwBRYsFjFy7/sSn7NtBDaMQpaRIJyO9VWJh2uj7pSs9vF9KShfroQ5qK7bXCoQMAaEY9fDEIHyEvVpOzuV/Ol52lJU8+dW4Z2q+sPZ7HcmYsvZ7NPV2cnQ0KU4zkrilaMCumez5PNhrK3uSRuf5csx8FzZXc2RI2LBrVoF2DbVwAmViPLJKxWFCCkJV2k4MptKJWZmIown2zakCopFdDfM46WYVH6oKJLAzp2igQcG2JtfTakkxm2idEgUmt3P+LhYcmvTRwVq9H0YGmJ/Piz1lLLLxsMZHxc2pVOchL//e/iXf2F/Ls7v/75Ur0gUD8KttxJ/+POMjcH73gcH6Yfnn5fEpIkJHnsMvvpVwgVufFyYAHv2gOfxtR0WO3cKoS+TketbsUI9r+eeg1KJSkX07Z49ULUT8gy+9S0YH2dxUUokauNDL6JaaesqOJofY9sq9qjiSNGsCINZK/KQXi3yebkUzSQ0CjUKV7mSQF13Bdqz7XBBiHqGQJNbqZXpSc1T/4NjKaV2ugTz6DbR7TKr07C4yF/85V/y/PNK/sfHYXHRpIGsWoW8HGCq1E41cLAmDkChYBq4GqalgqFN72A1H1xXHXdujn+4z+LrX5eEcd73PoE4brgBBgbIZmWR933ghht44AF5dq/eVIVbb5UcucFB/teHU/z2b4uuSO38Itx5JxSLsp92NZNJRV75JL4Pez7zGe4C2LWL3/7tMtu27edg9hq4914+/GFpJTQ2hrhepRJMTFB1U3z72+p6nn7aeFvmFWujaNkyEm4t7G4ActMqJNDWJnqxN13FdeXZTJcsTIX4SoV4aRLbDvlpTQxNxeg0DWJzOTwv0ihaCaIpoBCRwSayjB2WMvR9xMPTlq+24pSREjUyTdhb35wqiq3oA03250mEuggpxpAA1ff6z5MMQhNQjsrzT3DEYrEbYrHYJ2Ox2D/GYrFrY7HY38RisbtjsdgXYrGYF4vFemKx2GdjsdinY7HYy9Q+fxCLxT4ai8X+NhZNcDvDaPXwlkohWIpxeartT8XUPNWoBQHV6pwYEEFgCrs20bBRcALIBHBdEv5Rk7NjqL+odKOI0BjygiKZaGKKphWvWCETQOe4mI4CWvhLJVbE500F9n25hMxG24ZvfpP12aO0tYlxWk33QrFIb7pKOi2TpeyuluP4PkxMmMTaXE4gG/1hcFCsqmm3R8zVZJK17kFuukk22VvqVwE5ePXmGq9/vbrOCy+EN78Zkkk2b4Y3vEEQn2IRuc5XvEI02/g4mzaFaUp6UlQq6l7POw88j4RX57LLpDN13K2LJr/+eujrI5ORWsCZTCReoGOakdw97YXWaoTwaBC2QjGMSwgblCpGqoZLTZqHDiSYHTGMOwhLJunwR5Qsagrnqi90fCuahvXjjB+3IMOZWMvz8/MQi2ErxlxXF+b5rFol6QG5HPJei0VW2cdxXZhOr4FMxnCF5uYwpAcdXwKMhxwEyHsplfiNrWU2bRInbPp9nxBNcOedcPvtpOwy998P990HFIu8bvgg118Pj47GOXTHp0Xp3X03f5b8IH/1V/ClL8E/+K+D228Hy2Ktdwi2bzdoi1zHsBCFgUGAgQEuvjjBi1+8ln53Ejo62L5d0uwGBzHEGHGvwk4IDAzAs88yPCy3ViwSLt5dXdRwlkQimpSHWhw8TyD2OlZIuHJd04xBE2OiqQBauej+QjrdwLBjI8xOQKDKaHkvdU1GIUPYLUFPLuV+ajvP8qvEg3I4FfTc03MITErPSexulY4QnRMSbwy9SD3Nmsh72gPUuQ760fETHI1G4wHggVgstgK4E1jWaDS2xWKxPwYGgOuB9wFPAvfGYrFvA+sbjcabY7HYLcBG4Fv6eLFY7FeAX7n22mspHjvGk0+OGcp4g1A36u9avz/VWOoYp9uu9dgxGrQ5DgsLPrFYkbF8FVIp+P73gXZyOZhaKLH4xBgLC2LQTS0siGAcOMDCsqNMT0O1Cl6HcI0rszGmljVE8x04QLkuFu6U40O9zmwjzuIilB0RgsZ8jVotTDECyW2L1RfRs6NYLrN85Zg0g63Co+Ow7EX9tJWPw+goy5JJ2hICOXV2QrvKNfAX2vj+98VwW+Z5MDkpbtzq1Rw9GuP4cejuLMP0NAsxgU727IEeXQ36uec4//wqL3qRKOWxjg4aF63l8M4DUmotqFIslRhTDIeFp8dYvVpks7MTxp6bV0lUgOex8OSYeF2NRRynjc5O8fa+F4P2VAosi4Xv72d+Xvaf+mFV8JZ6XS7g2DGq1RjVqjiW5TJ4yxqCXc7PyzYLCzSco8RoUKseYWy0Cu3t+IvtzP1wjLpCUcrHFmTFqNXkAc3MMM8kvi/lVY8dg+99D5bFGyFDbFG9E8sKG4BZFgtBrIlE1tamOkDX52X1bzSgXGZxaprZ2ZOM1aVlVs2Za665hrEnn6RB7Izy3irnS8n8qbZrEOPgs88yOz/PMxMTLF/uc+QI1FV1/9LkGJmM3P7YEXkmxZkZ9u9+lIXOBJNzFRpPjhGLCQtwbLEsGz/7LMcoUy6DG5unstBBEEDV9QVHfPZZNmxow/OkG0MQOKzavFnk9Hvf47/8l5WkUjA2O8tk0eHw4TGSSShPVhirVODNb6a86nzmDo/xjrdW4Yc/ZOyRTg5ZHt/7tzKXXnyxTK5nn+XNb7b44Q89rr9+jN3BW/GAsTe9iRH/uzhOnLGDJWhr47zzxvi1XxORGnvxi0Xzz8+z8PQYK1bI2j124gRYFrHl8lwmJ2GsV+Y4x49T2StrRmcnjE1NyTyYmSEeH8P3izz11JhxXKJo3bJGRYS7WGR2eQ+1mshiuSz/X8UizM0xf1xkeaxQgK4uFp8Yo70djh6FmlUGy2J+qkyjIc+dahVOnODEiXZmZmCsXBGZXKgzPS3Hd5zjjM3NwaFD8u7m5qBaZf64hFrKR30aHcJkbm8Hr31ebsCyoK2NRavdZA9YljyKel2mVyxYaIp/Ayxa7bTVF2T+2jazsaPqOkI92FZfCNeAyPiJKrzIuA34GPC6WCz2VWAB+D/A7wDPNRqNunLmVgJTap8fAtnoQRqNxr8A//Kud737XemVK1n7kqFTxhbOxno91ban22cpdqcV1GiPxbjsspcSi6UZGuiBxx+HF72Io8dTUjQ2OEQ928vjj4u11X1kn5h4PT1Muv3UaiLLKaapJ1NMTUF3V1UWuWyWg6UUtq1KawUBk4GUFut1JWhc7+tXpb+ERXj8uEySBGUTTBprayOxcoh8HhIJMS6dsb2yKAwPc4A1lItiHCcqk5BOM1l0NFpJvHgI8mXo6YHBQfaOSuPWtWuhN/cInDjB9FVDfOc7coy1278muOSNN/LBW+Ikk7DtNVW477uwahWNzFrm5mBopM7Y0aMMxWKwYgXVgSGefVbmyUteAkPufsN0qw2uE2ZXUeUrrh9ixw7JA1y3DrpPHJDAtSds1h6vLNegiAVkMhzMWSwcltsYGlI5S9ocjJbvUizWsSBgqLtb3nmmh9FReaSrVkG/fUgutKvLeNPTFYd8PmSN9vVBIpgOjwuhZxghx2jDfm4u1IOep6qIaAaiKpllEIEzDD1n3vKWt7xr6CUvaSKfnE08rlXmW8fSc6TBMsdh4IIL+cHBF3PppbD2q5+GTIZDvzzE3r3yKobOr0Iux1hnJ0MjI0xXHFKlg9T7+jl8WG3j7hdP48UvZn+ll5UrZV5M+5If2h8cgKefZnLtZj52lzjxr87slXiZ68KWLTw4voaJCXj3zWW45xtYm3+PO+8Ux+6qZz4G//RPcMMN/M0Pf5X774f/83/gipUVwSIvuYShoSF6k2X45jdh1Sr+4ukhPve5Gun0EB/43OfY5fsMJZN43gfZswec1bBmfZWDy4ZIpRTKEJTD1IS2Oo1L1onsfe/fYP16Htm51rCR+4MDxjurZ3up1RSHJX9QcPqXvpSvFYeYnx/jvPOGpCyeykM8cUJ1lNj+oGi2q6/mG2PS3UDny/X1QU/+u7CwQP3SIQoF6CnWYWGB6gVDHDki68PQYM0IcQ1HeACKMLM/nwBgbVbua9rr5cQJlcWz8H2GVq0Kc0cU+2iSHgB63GlIJjkwYbF8uSLBaVa4657Ur1Ir/AQqdJJOCyHPrpnwA4CuhH2olKCzM0xpsG2V7K6D402y+hMcMRnvB74KHAJ6Go3Gq4B/BLYCeSAbi8X0eY8BGrjoVb//WKMVdjlbyPJs92kats2JcpkDB/aHDXVVJrTBugPpBzU7q7xqvWKl05Jjg2L8qe3a2zEvqJ5Mhe9VfWdgbOWzR3Fux67T1RVx5TWzy7b5zncEXVm5Uk2KBx4A4JHCGu65R/ZJfOvLsH07ddthxw6Zo7aNLCIPPAC+zxcfsPjkJ2Vx7s0/KnhRezv33SehwYEBJCa3Zw+Pjsb51KckKZeHH5Yu0Tt2sGcP/PVfw6O7LTHn/9//gz17GB0VaGr7dvUsv/QlydPavZtcTi7hgN8LmQxWpUxfnxgL3avqBvLQOXLTQcLAXuzaBePjlEphJYwgIGQF6PiaShkp+1KflNlZE/CbmpI/VZlC2efZZ8O0BNs2aWOHD0cIPFHsVZ/HdakSN6w3TQ44qWKMDnao4zfFEF+AEZX1VtYzcMo5okcQBBCLYVlWCEspA0LLqecRxueSSQ4VHENu0eJqyC6K+VIqRUqQoY6rqrOMj8O3v6322bnTVFSp9a3h3nvVtNm+HSYm2L0bvv71RXl+d97JgW9+E2Zm+P3fP863vvVJKTP2nvcw/fu/D08+ie/DgUICtmzhkeAqPve5x4Fv8oHbq9zu++wA2LiRj3zkS3znO/dKFZZKhf6+Ohs2QHzsu/CZz4hQl0o8mFvHtm1Kvv/t3+CeezRHRZL0+/pM6wPLr5qiD5RK0q58eJhcTtaIlD8p95rP094uz23PHgRH9X3I5cwS4Lpy6EwG82FiQj2bUglyOeJUjd2nX5Yppq4M56qdCNMblDDqSlC+Dwv1NhN6MYtS0Jxoruv5trcTumEtcWqdWN/V1ZKgHgpa89/qs75+/fPp87B/suN3gc3A64E3APVYLPZ/gV9DitL9P+CPgLuBuxuNRg3YG4vF/hq4GNj1o57wVErqdBVTzsTgbN1/6RNb7Nv3PflbP3zXDRMefZ+4Ww8DuzpQE0g38Pb25jY8hq4bYV1GF7ilEpIXFsJjaBmq205Y62tujk2bhNF47BhUN79GOP/LlnFN9iA33qiIMS97GfT1YeUPMTKCie3x+tfDi14Eu3bxus1lrrxSUeOHh8UVW7bMMMYKBWR2+T5XjdS44IKsCO2WLXKclSvDxpYQzpbxcVQrQfbsUaS0iy8WCd69mzXeJJmM6Keyu5q6qsju+4TdlEslulfUwriCtjpU0K6vTy6tUpEYi+mrUig0aRJTGUlT4IKA7hU1nQYYxmDOOSfy0kLPTMdRzbvUwTd9YSqxP+GF+X16ks7PN3d+NnKlSqnZ9gtHWol+Xkr+z2QAPvbYYxCL0VhcMJdNEMDCgpkPbW2EQrywQEeHetbJpEnZM9UxVH0yA9kpgyafR55/ocDLswd003HKN78b3v52iZE+/EXNXYkkZAEsSAmxW28lA/CP/8gf/uEKYFiud3iY1AUXQL8QtzTR7JoNNVz3MqCbveNx2RfUy1gBnCO5eopmOjaGxO26uoyxo2NM0fh+Lmd2EURibAwqFWp2nCNH1HwaHBRZy+XYvFm8MMPaIpS1ICCMiQUB2azZxIi4Nr4McQQIC50qBaO0homRK8RDy5/vhyeNvCZBDaNUSSXvUZKLY9cNQcYsVhGFpmOJ+qsoU1SjIdG4nVkEKhWWLRP50hy0qm+FRuPZkFZisdjaU/x70VLb69FoNP6m0Wj8UqPReHuj0fh4o9G4udFo/PdGo/G6RqPxfKPRmGw0Gm9pNBpvazQa31D7fLDRaPy+2ufUwYRTjB81xUDv07rtqX4/1UgmEixfnpS2eLYt1LQgCIVaJWEmk2qy66TvUsl4/jpJVZe9iirFJpZWEBg2X9Ry7uxsLiCtOS9mka3X6V5RM8SZ0VGoZvpFCL7zHdb2VZmfh8eeiAuhoFJhbfool10mxzlUSkjiVCYDExNs2iQLwYF8XEqhdHUxNCQpVdksQhS54QaqgcPWrUKaw7bhxhupv+nNdHTAO94BVwWPyGS76Sa4/XZ27xYdum0b/MqvYBpZsnEjR9p6CAJZMBKUsQqTJiCfzwvxoT64lrrt0JupkSrsF82p2KVHlskCtrAgt3HBBcgqoDxDTVyZmlLerlcPNUs6zXTFYW5ONjP5THNzBrs8MmUZ5qcuDRoPymGyua5dGLVqIwuL74t8JJMtdU0ji4LWEy3x9x95nErOz2QMnsn427BhAwBzlUoog2oF07yE2VlCJsXMDCtWhArO8cvh54EBAzerKlyQz+um2iE5I5/niitEVB5+WJ1v1y6YmKBSEXCCrVthYoK39X2DN7zB5e674dNd7yDR18fEE0/wgdvKwIu4916EsJLNwtgYr9lUlnVyyxYe2e2o93I16zOTZICrAK68kq6uTVx22SsYGYHaLe/mf94moQXuvVcuwPNgwwZKJbmtCy9UD6yvj8OH5X7m5+X+eOIJ8H1D/E2nESWYTjPpSheWRFcjdIWTSRJujaEhRbRKK7w+nY5yQVhYiCAOhCKv5bNMQiODJl0g7tZDgpbnUSgoTxS1zdQUFnVjzDi6iYdWYhHPy9SsVWtaV1dEcNTFaO+sSdlpy8+NFPDQ+0Rjeupv3R7M1NbQhLSzTEv4GKGX9obI3//7FNv/zI7TKb2l8o7O9lilmRnK5RKLixI4Fd41TUykaHzGQFzpNIWCCGTKLpuEcFM5QFHX9QKqDzo/HykmbYcdvaPU3OPH1Xe5nAhmVxePfc/h6aflfFcNHCW+40HZ5w1v4Bu7hR5/8cXI9tks0/ZqXBeu3VSjt7hXrmnrVva76xkbE1LkmvQ0mkeuc2Ktr35ZLNUbbuA97xGUads2ZCHJ57nvPsmF6j5xQNh0lQrTm3+d3/mDOPfdJwrvA7eVueLbH5SF641v5Bt9b+Ov/1qe55rSd4VOXipRLMpz1fTrxx9X1n8uh8Fkgf2FFP/8z6LoV62SEoqp4oEw92BggHK6n0PFOPPzkbY2qpJxLbmanTvlugHJIdu9W9zlZJKqm+L555sqjInCNEl7Yb2/JgpakxsXfmW+1ma78lB0aS1jTP2Y43Q5q63bnQ7ib507ncu6IBbjyfHxsIC2WnX1fZkF3Pfxl3czMQG9mZrAw0qeTf87VaaqUlGM20IhpNerVJW/y72c975Xynn9Rv4D8Ad/AJkMezf/Eb/927MhpLljB0xM4Hlh+td0Lsc+4GAxAfwmX//6g7BrF5/+5jc5tH8/jI1x++3wllsS3HknHD++F/DhuusYReIuXxztZ2bm2xQKIq533SXG4Btf/F340IfkHQ4Pw/Cw6TzS2YnI3tSUyRcLAkRRXXkl+D793lEGBtSzGRuDvj7e9z5BR5melhN961sQBBw57ugsJSkYoVKYCgWxvxVvSBSTojEap1ex3aKpOPpCyxWpSkQQmDSNI0cisPT8PJMFyxDmYvN+6OFp2VWKrJVoZdYstR7WAsukn2hdZtIOFPoSQT6b0hP0nFpcDBW5nmZ1LFU/sLmlls3S4+3ADxAWbgfQaDQa343FYheeYvufyRFNQfiPHuck8kosRqxRp1w+wnRwhVRWKBRwXSFPxJEk8a4uSbhMDQyIQBUKDA0lDL0/5dXxtFGUTAos45fp6EgIkUXV5ctkVov1qLA1TTnGcw3dvbNT9bDTGGChQF+fkLeCAEgnw/wg32dgwGniVYglJsI1XXFI9fUZTGRwMG5gkpqbgq2vw/fhkm7obp+G0U647TamM2u59Vb4mw/XoVJh/00f4KGHBO77va0H4X13iiBecAGFgjiKlYpc7qFSgt5sVs7Z3k42K47nyAigoKLJ5FryE6Kc1gwIBGfiC+m05B+oBn0K/aJQkHPk89Cv4UzlYrvJ1WbuOEE1JLtceCG2LWvWueeqvD9NM1eLctyuMTjoMDMjp/R9KdnWo4sv+tJk1uTtaZPYdVUvxJDXouMWpktCJFdBQz0v1DjVPGmVez1aSTC+clPv/fSn+ZP/vY1iEdYMDUGppMtBylDc/I75GitXqjJh550HpRIrV6qarNmkeVYXXpiQZ6Y6gWcyQMWFc89l4wVmfWbNS14iL/kVr8Dz4LOfXSYwY5CF97yH6o2/RWm7kFbe/naI536X1z3+OHhHee1rH5IUgc3TvOVd72JscJD6hqu4NQ1r+mp88WGH0dH1ApFuvJ7Xj44ylExS2wp/+IcvNZB+Oi36aZ97Oeve+lZxO++7DzwP1305nieG1zVvfzskk2wZasm1O3wY5uepJVeTz8O+cYd1N9wAxSIf/rCq4DK5DG65RVKGgG6vRvcmm3LFombHcYaHqbkJXF+xqP0A308xPg5XZZOQz5MZWiOKKpuVzvIKlVi+HFO2UJccpCTvzK7AFVcoFMfvM8pMk0RqZXUfUUNOKapSCTIZKT7heU64ndK8lYooZ12ysI6l5kQcywuRK+NxRs+hftAtLaMtwwxE21JLc0mTr9FoPA18HtiCpApsjHz/MzFOZZUulW+31Dib3LyltjfHVJVW6vX2pvJABh+PuNtRmFMrJxMv8qVyQBQfx/dZXIwE7JV5Mz8f9tpqWnSUaaTXyJodl3PNz9PdPm06KO+fcKj1rZFj7t4tDFAkl7ee6YFKhRTTZDKykBwopkTyczmssX0k3BqFgvzm2HUpeovabngYJiZI5fbS0QGP7LI4VEqwdqDG7/yO9Azb7/fDHXdITG9ujrXs52031rjhBhH6z30OHsn8usT9duxgzeOfZeNGWdiqQ5ebnKggUN/5FtboXnqLe+lNVzlUSXFk5DrZ3/Nwcgd4+cYaGzaEMbhpUqIJs1lwXRy/TE+yKrCQrfqOLVsm77k0TX9f3WRIHMw71AfXysKggvfR6g4asawGkS4MemjzVcmE44d5SXphKJVUDFabtMpabo3d/6RHq7yfjuC11Dj8/HOwuMiWa6/l+efVwqNcj+PHQ+u86q2GbJZYcYru+UMi/6q+ls4QIQhEwHI5ZmeVF2bbhpPB0BAcOcIaDpBOy2nKV18n+Pm//ztrxr5IMimFDKhUYNcucjn40pdmKRQgft/fiSK69FL+7uHVjI0pGP3ee2UO9/dz330qvjY2xuuGD/KOd8jnQzf/Gb1AsVTCocaOHfL9NdmD/EbmG4yMiJ6r3/J78Ku/KkKXy5kYsEEQOjrYtcsUGhJh7uyEwUHDpXrqKfVsJiawdkqPP2Ixpu3VBkA4ctxh35h4SM7Efti+HSd/0JBupkkZZE8rGEU1MK5QT7LK+eertWZkBJJJM8fwPCgU6M3WWVxUFWTUYjIwIEtMpQKL7W4oyBEoQocbraAGbthE2VyUbZNK1lmxQr6vBWJgxV0ljwqjNAxODZdGGVwqJ9C2hV+guYEWdZZyMU8XrHqy0Wi8r9Fo/FWj0fjgabb7qYwzpSVEtztVusGZ4hSnU4C2ZZFIJFm58jyhkavqEEbhqRiR7mFnJNnzmK44hpWrrX6THKoUpaksoQ6o69ZZlbKBAubmwhietoxAYeC2bcp4ZLPipczMKKHNZASUV1UODFygq4cQxtFxXfmgWrJMTKhLHhuD3buZnZW14iu7U3KPd9xB99OPMDoqRMtq4JAYfYTLLhM08B+/uVqU48GDAnfeey+2LUzx975X9gGE5XbnnSTy+8nnBSI9FPQYy3LlyhYl4LphvUnbFot5dBTGx80t7N4tl11zE6bSBOPjsqgEoswni44peqxnWgSBkcmrsbFK2Fj28OGwZVLcrZuHauCZaFmxSOxCLwJtbZH70QpPTey5ufAcL8Q4G+NvKTKYHp7nQaPB8KWXUqkoCL9QgIUFjh0LK9zEi4fMgl9N90p8R5XE0iFVSiVTrsbMAd83Hno1cORh7NzJ8LB89/GPQ23DNfIu77+f4WGRg9qGa2DDBtZ6h/jTP13G1BR8sPQ2+N//Gz71Kd6W/RpbtkgeH1u2iGDFYmEM7TvfgUqFnTvh2Wcn8H14FHgEKZn3ve99XxiSo6MwOsroqCCoFnVhY6rqStFqdPg+dHYyNiZQaKUCfP3rhj398MNyG+edh4lJkk5zwO+lNNeB50mllZRXM62xggAx4hRpLFokolhUilZVb3/mGTXFi0VT2uj55yMtnUqlZo/Ktk2HF99X1z81ZUqClUqRVDdtmUWO4/sY1qchwxCeK0qSiRL+op6chilrgdVsWUZ2KhbD+WdKPcKPVFpsIRaLfT0Wi/1DLBb7h9Ns9zMxTqfUztZiPZ1n17pte3s7lmWFi5SyatJpFahVATidnhKlVOmyP6mkKKbpkhX2y3Jdal4qNJRUMK+9PRLjUFZPZydGKPV1G8VZKkkWp+tiBTUWFyNY/eioYHDqOAsLCtLXhABk7mzYgCnuzNCQlDFCcTpUry/bFoft1dl9Mqm2beMrlWvYtUvgyPg3vwzIRK5U4I2vnIbbbpMLfec7+Vr2bdx5pzyj970PPn3HISlIeOWV8Pd/zz8+sZZiUY7VW9pHqnIIzxNvIJ+H+vB66sPrqfoW6/rKrCk+KgvFihVwww3sY50O+7BhA1yzsS7WsO7FNzzMQW8de8eEJt9T3Gewslq6h0dHJTHf9xXzb/fu8EEqmrcO6K9aFelUrSa/FdRCjMUEojC07WXLZFPN0rSCWlPl/LqXMDULmwL+P8FxVqk4p9mua/kKiMVYXFwMY3jpNHR16YIekoqjV2HbJpdTYe9CgaofaeLquqZ6jpkDhQJzc/LK4v60vJ+REZOPedFF4HzyY9Q/9zkYGeHtb5dwrxNU4VOfgrvuIp+H7dv3S33XW27hA8qY+chHPsxv/ubfQibDro98hMOf/Sy/N/wI994L76+8gz+6dx3btx8GVrDmo7/HbqQr+q5dAAdlXd2yhYM3vJt8XhlsW7fKDf/ar8HrX28UfhAgc3x0VBdeEk/yyitFwH2fLVsk1rxhA3KMrVv59Og67r8fko3jOB/9IIyNUQ0ESteVBE1AG6PbTNGlaEy1s1PJ6NycybtVEYQw/wZV+UkZ4BE72KSF1HDMd+0shNpKa/Z02pBhrEq5iVjXBE3adhM72SBWmnLp+xw/ruKUuqefhvzVHNPEHF0YPggktSvsNB2V4VOPTKPReGWj0fiNRqPxG6fZ7qcy9IRr/X90nK0SjG5/tikM8c5O+vvPD79QloSGuLRlZCxXbc4rL7CjA6PgDEtKRW617MTtsAxVk2WkSComABw5l9lGFV+s4bB3zGH3bmE4r618V4L5g4M8drjXVFnp8cqGJ62bKSeThMoxm2XPHtmkqwvjPQWBmmf6j2SSPXvkGENDmBJLe/ao6921S0qRtLXB8DC7dilPEnH8uP9+hUfB3mAd732vrG+JsUdlNRkfl4rxufCRTk2ZkpYh402RIZ56Kmx67bqEXp0K8B857ujypc2WobJkogiK45cxSZTptOnj1dlpKss1Qy/6JWklF3UVlWV74oR87OhQz1UvGBGSSwsa+hMfZ0zB4fTMZdexodFg5WqJLZlFzXVZWAhjlPg+LFvGYkdc0IqiFFGYmQmJrxoF0ew8vRDOzqq/d+6E3bvZZ6/nL/9yls5OeE3fPvjjP6YKVN/+bh56aK9s+9GPcnR8HJYtE9IHu3n96yVWUwO+GLwG+FegDLfeyg5gHmB4mPvvh3/+Z73QLwLt8NBD5p7FITtOOg2TpTgPPKA6n+QfETzyoouUmxbaO/1plUi9ZQvj4xJOHx5Gbly5Zb1Z6TVnVcry/YYNmqyJiSeoxeAHPwg7aGl+AK5rUKUmMTJ9tCI5fhFEyvMwMFKlYsLgJhZnDJJiEdraDFQdBIhS0e5epGBCE9FEKSbjOUbkan4+vN6mdVbtd1KptRbiiv69JdNhyUlzOoUXj8Vi22Kx2KtjsdirT7PdT2X8OJTqHyV94UypCd2rVuE4bvjuVMDNKLiIoAAhZ7ZSIZ1W8QpVGn3ZMrXOKnKDCvUJfBO05OUpd75pcVV5MWZo07i9XZMReelLZVE98qLLxSXzfa64rG4SYKt2wtC912SlOO3Onci2ySSMjrJhg3h+JgagrmlsDI6cu15416Oj3HyzWKnFIjLx1cWNjkJ962skN2BqCu6912xbKAjC+dhL3w0vexn1L32J9d/5GLfcIs/wYOYqcy3aEfU8SQHoXiXvbzpISBzi4ovlAe/YwateZcKQ7NkD5XS/3MTCAoyP0z1/SGofImsGIyPidinykA7ML1sGdS8hi5jKK4miK3oeGthKTzYtBFHOtIJjoilFmmn20xxnSuM5VXzc931oNLAsK4w7VyqwsNC0mGleetu8NBmuJVeD55l0jCAgZDBFFV4mY9Iq2bQJBgZYl3uQ//JfllEowDeK6+Av/xIvmST+pc9y9dXrZXE+91wSABdfrFICrmHHDrh51So2Aq/Lfhf4NOec84fw4Q9zO9C3ejUEAR/+sDBApaNBliuvTMD7388AUkvzppsAXsbQkLB3R0ZUDdrha8JUniCAXI6NGxVxR8euFAnH81TnkNFRueehIb6xU5GwNNFp1y42blQK75xzpMZsJkPclnSjbDZCw1dy29UVhoAN6mdcQWWgnnMOLCw01dzkvPPAtknYEtPWaTX6sn1f3gXt7axYoYguQMNqa7bKIrTK1h6OZs1SL1wn2vs+YfgnqtAQ21hHGZomjfp/lKyi9a3lq8bLLeWZTzfFvokwNFedZpufmXEqb+5UTLPTKbSTGJmcvBjsP3CAxg8O8su//OvyRYSkEASAbWPTnCupTRDXDjFpx7bp0r8H4cZNVorv09EhtTT1Cqtz+bSA6e3FglJ/dHRoZIyEW2N+3uHECejesMG4cev6PPA8yhWLI209rBrpwaJuitviujLrKxUSlBkclJQJzSIIivJz97H9ovQ3bTIQoLH0x8bYsmUNDz8sKQRX3HyzFBFctoxee5JbbulhZEQU0r//O1zxwANY990HbW381tWHMJnnAwOUvR5yeyKGhPKeMpkINVt31nRdEsE0W7ak+M53Qhh0bV9fSP1yXeJUGRqSFA18JMNXNbfzPJnYnZ1y6ERfn3EvneIk2WyPyVPSNO2+voSJtZrJrxWeXsgQDz6ddkwnI4CetN1kxVrUcV0rlKsXcJwtK7P171gsBrEYlYgSp6PDGFzmO01pnJ0lOSD33ON5eJ48X98nxKQqFVw3ruLYgUktnSZF6oYbIAi47TaRmYkJ2Pjf3oHzwx/CsWPcdZfKw7v+etx3vQs2buTqq+G1rx1g61Zg051s+tCHwPN4wxtWsHIlHCrG6X3rW+Ulf+5zDL7sHdx7ryDYGzbAX/0VcNt9bAYyF1xAeQi2bHkxmYwUTk8mBZWcm4OEziVUTe/sMaXwNDNpxw4GBq5ldBQObO1nzWDBMLFGRtawc6cQpPovuAAOH2bT9YrE4iyD3l6TVa4fZxDQFPPFDUEFndd3VSYNTz3FulcNcDBnyTHm5kh4dfr6pO8mmT7p8ejGlRco2iOVrHP++ep9Dw2Zg69apcKewQIsW96ceuO6tC0oz74ox2lvT0lO66o4VsQYXLVK3n8QSPcH246TSNqGId7ZKUSdOpb0koSmtIQuN1TIpZIo2e4V9pItRk6VeO41Go2/j/7T3y+1/U9j/LipBqdjcC7l7Z3KA4x3dvKSl1wSCpvvU7edJghTExocuy49UoBaVmpgasus5kqNunigFshk0qyPOvZXT6ZYXIzAGq4bQngRGNR1CRsjJpPM1to5fjxkLJkiDer3WrqHMgnqWCS8kC1V9SU2mUrWTashMhmmg0RItjF9RtT/tMTl85rcJR6TolyrnFiBSvr6BAY5dgxKJQoFQTkLBRUn+/rXxW1sb6eW6RUiiXLpVN4ryaTqjabobhMTsD8XDwk5Klak+32tWiUOaDIJppy8jhWo+5iaUkxNDdFUKnR0iPdl5o3GadQLalVCtq2etzax9cSMuoEqcVgH86NNFeq2E8mexZCRDDz0AoyzQUa0MlxqW78mD6GiKnnYNmJdKLJJLqeeuwS+mI2volJRMLptm9ZATdVRFJFFG3WuK2ttyi5LHdih1/G974nT/1sb9+PseVQsrxtuEGIWyHNcudK8p8FBuAoV433lK3lsZq1O2aTXPyBaJZGAiy/GdSWFYfNm+NKXFsSjy2bZDux95hlKJdi+/YfcdZe8t3XBXkZGBGbkl34phBQ8L4QdfV9k37YZHhYR1NVm9D/bjlRlUSu456n0vZJqa6DKtLiueD8mkVy1jvf9kMBh0kKCAFasaKruo91v40lHPDNzvYhhPj8fCbtE9imVkPkSZWApt3JxURmByoix7QhpUodd1NoVQUJDzoP6oG3Fk9ZhNbdmZsI8vmRSxYZPyorXsr70uEtDmdF/wHtPsf1/+jjbVILo/1u3X+qYZxPPAFiRSGBZVthB3pdUAdNbClkkTfsgVWvTCaqG1V6pEFZZ0dZRROC0p0jkZy0EhtWnLKUmL7LFS4zeS6C9vyAwrWq0sDt23ZT0KZUwNR81m0rLUCpZb1J2xSLU06tNT66REVmcSiXEPD7nHBLBtCaRyQxsbzcwizL6KZXURNWFQUslHL/crAiQ4HRHhwpMqwWkKd/rnHMMZzqVlPuZmpJ4mZnYepYZNoHM/+PHkXelSEgrVshtrVjR8nwjCs+2zesNR2TCavloYmnatiEM6UVrqXdoUW8lmv2njDMxNKPeYCqVgkaD5cuXh4o5IscmlKJqRi6z50kmFUSsIH5DjNAsv0C8Ok3s0sRYTXxZ4x5i1SqB3R8prhVttnMn3H03Q0Oia76y3ZLV7/77ufVWuaR3338VR/78E7BnD1f81a+zY4e897+4fw387d/Ki3zgAfo5aMp/XX11uyi8dJrNwPr2dtJpeNnLXsQ73yn5tntZzz33qNf2L/8iJxsZoRZYbNyoYnWuawJ3WikPD4MJjhOyowsF9QyPHDGks44OjJIgm6VUCuXTYL4qdeeii8JqRCbGrrSg5O96csAgYNkyJe7Kajasf7XoRDkieuj1yfMIA3wKFdEvS08zLdxaIRkSi+eZ3pBNLOXoiKBXdaxwIYwYkLoZCUQMTm1otkyepU4B8HWWhjK/cortf2pjKWV2pu1ax1IQ5pn2ef7wYfLFY1x11QlIrkGXclixQgL3uC7zpZY0ECUlmskm1UKs5oVSKS+t+xzXbYK19OphjmvYKxEI0Q6LtXZ1YToRh0oUsyBphlQqGUJptpsweHhCY6eVCh0dKQ4fFkWYUBetW+YFATgveQm0txO3a2za5NDWJnEaZ+tWDhUck/5mOr12d0M6zeHDIRx4wQXAHrUanHsuVTuBjWDydTdu9FNnp+TJaQizmJdnGg/8EB9UVdZ1Oo5BCn0/bPyqJurUlLqkVXWmfjArDy6dbrI+jbKMTDY990CUl++LhxwHOYeeeDoZU7lAdU+esamgo96fYXWquF8dq2lCvxDjVIhH6+96tG63sLAAjQZf3b4dr+uXQqU3M2MWK2Oc2TYodrNJsmcJY8G2dTok9WQKPxchtagTaP7GL/0SITNpYMC8/mQSKYsyPGxIVJdcohiJv/mbAKzxBFIfH0c2UDUtddrIyIgopY0bgZ1ZstdfD1dcQdytc8stlhCzfJ+dO4XNm8kgOOjICOXsWnLj4rnG7RqM5WBggMeeSZnrscb2yTk3b2YyWG1SIlwX09eSiQkGB9cyMyOlAV1Xnp2GNAVRssPAdiWs4mK8sMEkLC7iFCc599weaHfhvPOEJ6Cff9E3RCOzlqj/GcKJmgx63bBtpBeObVO3HZEU5W51rFSMSSws2zbXE9fHjgh1Z2ezwqtjYSkDVytWoyi1Qaj/rjRFKDA3pGLL0bGkwtMQ5s/bON3E1fG8M42z2a6OBW1txBp1Go0qk0VHesEVCnjp1YLjr5BGjIcPS85OAsyb60ResM6vSiYhEVSMV2D5VdJpYbJVA4fAj1guAL5PMqmaMurmmGqRcZRycrJZc/xMxsEB4pWjxGXloZrpp6CURPeKGuTkQy3dozkDyurDNItc4YX0+cTgIBSLrElWWTMgwlV75XVSasyGq9y94HnsHVvDAw849PXB2zbsh9sVBnT99exfebVJ0di6VRaGtcE+mV1btzI9/HJy47B+qAZj41jpNMlkryktVrZTJAY86rZDNou0M5koyP7nnEO9r5+JcP2irw/6szUYz8kDHRqi5qUIAnEErNI0TBQlsaivj8mCZUiDmQzES5OYRMBMhqqdYG6mee6l0yoPD7d5Bqv3pjeMoEemDqDUECRcxdR2bW3N4ZGf9DhdeOBs5kxnZye0t/P1r3yFP/3zPyGXg7UbN4on1ldjd9JR6TIlqT/61DRrbIzhE3frpNMC3db6+nHUYtXVlYBiESsICAKpqYqHpMh4vabwzdpgH3x7FN7zHr5RuZxCDj59T10SRH2fvcE67rhDctPfvWU/3HE3DA7y6NBvsfMeqcCyfs8n4JZR+LVf4xOV36Byr0CaAB/5CHzhC/A/YkWOPvQQq597jgNv+BPuuksctptuSrFpkyiwHq8swlypkNjxRdZt3crf3OUADr93Yx/cfz9X3DDE81tXU6nAAXcda26+GXbvpqf0edj463zmM4rxmc0a72l9ps7Y7jJxqkwW4oBj4nSaJEcQUEOetUUdxwbPU+9PxSLqmR5mc0AlD889RzG5jlxOGZqK1LLoqTWsXWRQw6NSHq4ErqujEWLoqlYlltY2mQwkkywuNkORxtPXek7BmXqOJTyVU6y7NdiqcLQfkf0IWSWqkKNfg4UDZ19p5ed5nCm2d6p4xVLbnPYcjQaNmIXnpUTIZ2aoD63D91XbmiDQ5SylN5oq26MZlZUKJifGtgmLDAN1V5Rd3K2bjgvmOiNmTMKTWFEdKyQHROjHyeUNU4+znkxJt4GkJIjHCwfp76sTBBIgr2b6pTpJZZqedC2ycMsxy3aKiQmZN91dVYFhSiUOFuLsH7egUMDZ/iC9yTLbt8Pfja6nnFnD+tI3+LPX72NkBB6cWEv5jr+BX/5leO451la+y4YNIUtsYgLqQ+uELTY3R8qtyvVrTMX36c3WSacFnhwbk0RxizpOcTLs4bNihYF8XBfTLQGkOoWhmlYqONRC5aM110KYV1QqCRxq8pJUyTZUvGp2thmpNCxNBLKrexKjNW6iencOYXcH7U1XfSt07VVMpBVGeqHGUjE7OHMCOkhOKouL3PiWt4Rx2CeegEyGAzlHhywN/Ny9XKoLMThonksupxCN0lF5j7YdNjdW8Hk+jymZkwqOMjgoj2sf64Q2+fWv83LvuwQB/M1HLaFZFgqsf+qz3H67bPvpPWvh9tuhUmHDBjl9oQCmHUM+z9atorx27oR3vlNaWs3OAh//ODsBfvADdu6UkpbJJKzPTOJ5klHz2FMJud7xcVPwVXti5nskTK1b+LFrlzyAZctMQelMBokp2jaT9EhLLQXn9nhSHch1RRzHxzEQvuOXm96PLkyuDa0oi5z29maZUnBFW5tKrVJwiq76VCxiJms2G/aeM1iluVEMi/mURlrLD9HOL0bOKhWsoBZGejRzKQppqjli282waN125HrOMoZHLBb7TCwW61R/J0+13c/aWGriRifnj5LGcLr44AX9/Vx88aVYVochPujJUwssVf8yIhB61kewG00yids1yhVLlFEQYAU1ZmZUDK1SIR6UjZLUb1/YmCLEul4kEIL2QcBCEDMCblUkFlYoCDW/lu2HSoXe4CD99iHibp0jcwmOLKSYrjjNzC9bkkNXrpT6gpqFcGTlWnbsUOuRqryC71MsCkM6UTwIpRLT2XXce69cWmJiL/z938tOg4Ps3q3r7RGWNMpk4KKLmPYVW+z++8XEDgI+fa/FnXeKvj3/fNXY8qtfFdZLqSQFsAev4it7VrNnj9gYa9nPOvcAg4OiKPdOJJj01lDP9oLvk6hMEp/YJwdVVsreiQTbt8vHiy+G7h9+V2Az14XhYSbpMXwebWNks2HuZM2OMzWlJqqGUDWM6rqmaWw0WB8PyiFO53nUkqspFDDxG1N78Sc8znZOLLU9QE7Fn87LZg3hihMnIJNhXEF6/ZV94Hl8+v44C22uaJNKxdR2HR5WpB0dC0b9r1CAdJrt21WaDIiC+MIX6K/sY022SrEI/7A9BX/8x5DN6qpxogk+9Sl47DHGx8OctZqbgI0beeAB2aR39EEO3XILkw89BCtXcuut4qTddJOI3iWXwJ8NfZ7bczn2A7z+9fz2b1+P71/PHXeAf+65cGGMT9x2SKq2vOc9pg/W3lEr7PVYqeB/6ENw441ccAF85jN5br4ZU5aPf/xH1k48yOtfLx/3XvRm9g+8hokJldP6xBNSlGFsjAP5OPffL88kCNRzUonjQRAaEDqcrVGJuFunN1s3BDmVRy7pA889BxMTdHYq40KVffN9mc/ZLAam1+msxSImfcIUc1AWZhOxTjF4DSwaBNS9hJkSi4stVYw0jhmBQutYzeQvZWFGw+MONcNNwHVPSks4nYcXAz6ulN67T7Pdz8Q4G89uqe1OZ9WebsxWKiwsBAIRK1O/UhGZCQJMc8Xjx9UEUy+pXLG0rAkEp9idhgXoulQDh9lZ5cEp5XX8uFocjUkq3o2updebqWHtesR0+z5UcCiXlbIrTYNtMzYm1+e64Izvk9mSy1HP9vLILounn5Z1amFB0hhMMN2V5M7OTmU5DQxQH1zLk0/KvV61oS7l3MfGKLur+c53FBvT9yGbNeWStm4F3vMegi98AZYt42u7EzzwgOmMIs+kcMiUiiiVVD6NSn6vDazl7rvlsl0Xup/fKyvS00/LzB4ZERq4LYvl8uXqXejYBi25OoVJOZcuGZHJwNAQs4uuUcIjIxDPHwhxl8FBDhYTppfZwACkgqMkKBsIetqPk8/Ls4y7dXknuiab55nfo0m/TlBtYozqqvf64wtdQPpsZL7VENSjo12IAavPOQfbVjFJhYl3d0uolr4+DuUt0mloX/RDpEJZZNow831MDUzbhkcr6/jiLoH/br0VwRl37YKrr+axuXU8uCPO+HgkdhYETExIuh633MJkoQA33sg73vEEn/zk90XG/s974c472bJF6aU9eygDPYODfP9EH5/73F4WFr7PL/2SlC376p8+ynff+EYA+oHYp25BWntC/ebf4n1IybH/dXcvv/mb3+Itt64WRf7YY6xPH2LbNkSxPfAALsCHP8wf/MExQMqjcdNNHPjMZ0Qrbt3K298uDUU0u/WaDTUSn/mYyLnncSB9lZ5uuC6sH6zKPMjlYHBQT2tARL/HK5uG0GadU1Wjg0AUWXdn2WSbayLaZMFi2hdSSV+fijeqbuZPPSXbJZOEsGHU8yLC01LsFc0liBYWiBKXzQcdeKxUqAWWdrzlWKVSWA0eWY8iNAZqOBIG0gZ7tdoi56cezwK3Ax8Hlp1mu5/qiE6+M8UiTsXiXGrb044goOr7XHTROvNZezYnTkisjGKRchDnxAmVKuD7VIlHC0mEbEEiDELlohuoQQWAZ2cjsIjnmbZYukTRoYKi7s/NQaVCMikufqEANS8FlYrpJwnITB8ZgXQaa+KA1hW4rsj9/gkn7KI8MaERQHmGxSJW/hCZjBx//7iFriZr2xIPGxpCFObUFEEgk3P7dmBoSJ7u9DQbNsh27e1hmxJKJUMc2LEDPnhXXJrNfu5zOLf8Fu94h1zHAw/Afne98NI3bhSJv+8+uP12Et/6MgsLUp/z4x+H/cXVAvfseZR16Un6+mRCH2nrEetaM29yOfjOd1i2KAnnExOix/f5ipS0axd87nP0c5B0WhCnhx+GAyVJoI6XJokXDpLyJzV6zb4xC1O9WqVLpJg2z1qnb0z78RBSVYpP90DU8dSfRgzvbMbMzAw0Gpx73vn4voLDlBHx/e+r+qYTE/RmBLlYaFPClM+D53FkLmFa2sQrUpCcTAYnqDI8LMorCJTSeOc7RbHdcw9XXFZncBBVNgx5xjt28Ku/qvLw7ruPnje8Aaam2L37YhrzF7FlC1z7b3/CVfnPs2MHfGDk80z/+Z9LY9e//Vt8H9773vV89rOXcOWV4jSuuekqLv/+94kDB4HGG94H/DsAr3ruE9wK/AaSwvCyl13Np++uiSf2+OOQTHL33RIH5J3vFFm45x4+9rGVnHPOjfJO77+fNe96l1iEO3dyxx1h0nuPO03Zdzj4qnfA614Hl1zCmsc/y1/cOs2WLSIXB/JxcUc3b6ZcschmlaFWOAjAZEXB6qWSydjBtmFigpe8hHCb88+HtjbDeNbooSKLhovNxAQXXST7PfMM8sJ1uSOtxWzblEWNBtks6uZvDUUGgUr70W5aOi2FxoMAJ3/QNI02kGqEoWIFYWhAFzmIu3UD7bbCIqdb2T/RaDRyiNLbcprtfqrjbHOFltpWj9OlNJxqlEolKpUT8pDVytXdLczfWnK1QGVePYRQTHBeyAmVitrOdbGKRzXJU1IXfIEwj0xZpmK56bigXrZCHwBpk9NrT5qq69PJfnbuNOXyjMLV+SyOXw7z6/r6KGfW8MQTIrPpNKzNTLM2Mx12olTwhO8LXFtL91BN9+J5cN11sDZ91OCSTzwh+mpiAjnZ00+zebNMoIkJYNMmebKHDpHI76dSEY9t1y51/5WKeHTbt3PJJcrDee1r4ZWvBN/nyivFY8jn1fF8XxaW0VF5NsPDcPHFzM7KYrBiRcS4iEw0UGw97Q5mMuLaPv88zM2Fk1DtaiBp1Yl0+XLZ36RlYDXVwNRQp20raFrvqx6kLiiiuASk3GqYTBQJfuigvu9HYqo/4XEmWV8qfhcdbW1t0GhQq1UNeqsXVN2iiaEhajiccw60242QhVOpmLJsx45h5F27KA89JNwTzxN9wV13UZ6agkyGv7vH0ghf2IlgdJTu2FExuFTB8+rLruOee8SICwJZ17dsgddsOAq7d+MBaWWlHT8uoqTj1Zs3w5//OXDnnQRAElRzuv8LCP0/D4wC1wzLIvuNXY4or6uvZrKSwPNEfNm+3SAmMzNw+PAs998P1ewaufbPfQ727MH35dL37IGDJSFV9XtHBZ4plWDVKurJlLEZ9DpAPk+iMtlUDck8SgUTd3UpaFIVT3j++UidzPl56OoyHlcrhF5DpQbNzZnqQ4uLhGk8eo5FmLem/qvSbnWsJkKWXpNamxtHY4NNpf+iXqC6Jp1f7nkCaZoDw9l3S2g0Gs+p/+cajcZLTrXdz8r4cZRW6z6nUpBLjQvOO48gkMKqJJNSpmpxkhMnJJykJzwogVITOU4VgoC5OZUWo2Adz4ukjLhSKd60S6lUwhgeQLGo+81KQ8uSFQbBcjlShf0kk3J808ixUMCqlCW/joQhgWhsXQumoZSr64guvL4vytLJHSDu1snlVKKtjl5PTHDFBdMkk7JIHRp5ncQJH/gbbrtNruUb3mvgT/9Urumee7jpJjEcCwVZDw5lr5IZ+aUvccWRBxkchE/cG4cPfxguvJDe8a/xp38qSeRPPYXxLOnrE1cgm4UnnuDlg5O84hVymxMTcMBeS3XkGkin6XGnWZc5SsoX1mUNh2q6V5rzZTJQLrN+sGqs2LExONK9TpTpzAzs2kX3sf2m6EQuJ57eQXsNumdNfPc36PUPMDCg3lF2HabGlO/Tm65yySWhczntxw0bVmuNVavkseoqLlX/p8MxWyr+DeF8SafTUK8ze/xYWHBAxXVUE3EO5By1LcKC1Uq9VCJOFdtWz0k/B9eF3bt542uFtLB9u6B2bN5MBeBTn2JkRLqADA6Kctg38Dqxhu67T86TTsP3vkc8KPPZzwoqkCge5OPvnWbbNuncsffGD+K89a2Upqbghhu44gq59D17ZP4895yk53HXXVhIi7jqsmWAQCUf+tD99AP7AO65h4EB1V1KxdJdV5ou3HknsHEj1UIBPvMZNm0C1xXgLJ9HiFzDw1AoMDIij2ZsTI6Vyu8zsUxd/iuStx0Wk5iZgUKBIFBrUDJplF/VTQkKEZRFKSiNlkxKbB4wxJNKRWw/q1ImEUyzcmXIKCebhVWrzJTzPERbaasFjPzqd3oSPKEuXuf8mjCDhriRZ1/3EoagtHKlQqvSPYZw1krq8n1OIrT8KDG8n6uxlHI6XZL5qWCcUyWkt47Jo0fp7PSkNUYEc65UxEmgowOKxVCYQCwcNw5BwIoVSqEp1lPCq8tnxbbS9TT1yzXCoxZEXePRdWXC7B+35ItKBcbGBNKIyz4HiinqI5eD65LNKtaoxsE9z+Dj552nPA1bKpSU0/2mvub64TprB+vGK5wsSCyyrU0txIODZrH/lV/BLPQMDUkTSTuETHUCMsuXk/JqbNoknmImo4gJN98sTJFcjpERRWZIpsSSHBtjeFj+/MEPYJIe4VTryVIsSqzje9+js1MWX02Ci7t1MZ118WjPo+YmOH5cQS8aO2xvB99ncFCgoUxGQTobN0qdRM+D8XHWJI+aZHpTaF5blspQcaiF81gz2QAqFZOsbuwKbcaqF2v5Vbq7w7JLP+lxJtLWqZCQVk+vWCxCLEZSQdrRuI1th014HWoCT9XroZGkVjuN7huDS3sKpRJDQ/JYCgVg82Z61ENfF+zlTW8SEcvnVc3xq6+GlSvD6iOLi7B7t0HjNOw2Pg7/+q/qmJWK3NHCgnnO27ZJObFzzoFvfvNZ3nZLnM3q0nYC8CH16Yc411/PaoDhYT75yQW+/GXgvvsY+8xnSD38aXx/gcOHd/N323uIb9gAs7NcseIAv/M7EaLqeedJ14StW3nmGZk/W7eqkn1a2aXTYtRt2kSlIn++/vVyDDxP5sHQELmcklck7rZ+oCxdJtJpDhQSEv5QjGPXbaqzYBSeeQeE+sx1MUiH75tUVUz+QTotSkpNiO5uWRYP5BzDrrUKkwayqGOZAhzmvas53N6uupCohbB7Vd3oObPw+T6WXzVTrq2NpjxXXPdH6of3czVOpdhOpQhPtd1Syq11+0ajwazvs3//PrHmKhVTw8e2lQCqDgPHjilBUUHjQkHSDpygGgqZ65pEcX1+Q3FXv2voS3PtSyXJ8SuVFAyZLQu0t3Il1a2/bpJgN24UuR0dlXxAh1rYYfKpp8Dz2LlTLFpAVu5CgVSyLqQZnU4RBAb7OJBzTO74BReoWMH4uGyzYYMhlazPTMqJh4a46y75c2QECWj88IfQ2ckjux3uv196knV3S64Uu3bJTakyURs2gHX/5+XaRkZ46CHl3aGEvFSSuM7DD4tJfuGF1F91HTt3ipVs2wJNce+94iocP850sp9/eDjB3XfLYbtPHJDruu8+WFxkfyHF/feLpey6sG6oflJroCON1QYZ7u4Wr9NUrfc8akPreex7jtSMTFabKmqQTpvqbIYqrkkrClOqu1I/NZpn+5McZzISzwRl6jFXqUAsRmdXV1i1w3UhkzHEBt02Kco0BsyNNcWtI3hy1VvN4cPihWzciLzQVavCAs2E0PCmTYjFdOWVPPwwUCpRfeYZGB/XIAyT2ct5dELYr9u2wasbX4bHHye1ahW84Q0cOyaHPf98IVPt2CFPZeNG0FNEzvp/1acXUXnoIWxgf/oaoMZ73gN7FhawgUOb3gL8A3BUCkzv3s341BTk8+zZAw89tMjoKCZ3jSDgvPPkXtcnD0KhQH3ztTy4p4cjR2MiWzt20ONOGy5WLqfi1H19UCgwPBypOqSUUD2ZYjpIEATQ6x6Vh9HWZuq4GoMPsdVXrKCpmtLMTCSdgaaU0ibGpGFaIrFbLc5mJ53W4/tNXU88jzAkEEjxDRNycF1T7tCQWyJxPN/HkOo07dP3oRzET8JKT5eWcFssFrsvFot97mexH96PGp87Gyv2dJM9OqbLZWhrI5c7QHu7CpQNDYEtJa507puuaxcEGIskunB5nmI9KmZhNqtYiclkyFxSC4dtm1Z1AMaT9H21mI6NyVs/5xxKJVn3ddPYtX1V1g/LfZR9R4SlsxPOO48jUxbLloXIoJl4OjilWKOmEzchYuC6AimRz8vFbdnCwZzFpk0qade24dZb+dpEPwMDwtZ2tj8os2lgADZsMOzMTEacuoR/VH674Qbq2V5GRmBN6btyf8PD7E9fw2OPyZq3cSN0LyqLUSfhtLfDOefw+OMymbJZ2c7KHQxZPi9+sTEgdJyPSkVM1kwG2tpYuVL+XFzEVJcJA1TynE6ckGeQzcoxZmcJCyHaNg41zjtPsRR1rFBbOWpSa+/OxAkjX1jUTYyjSSH8J4/WtJ5WxXfo+echFuOP/+f/ZNUqdYvKAPR9kZE1AyJ/+TzM12LN8FcQmMXT1Dp98YshCIhXjjI7G6nHOT5uDIpqssfQ7zMZteBls1AoCCPYdYm/9rXQ18e2beIxjY7C7beL7fLyDVV4//sJcjmxqjZtAgRGPHJEITXAeee9iLdtq5JS9zsIwCb16QK8P/xDXu26rFwJf/iHy4jveYQ1wABIbJ1XAIs88ABkVq0SpmY+z4YNcOmlKo6hFw1F+X/qKQxBxBrfz8CASinLZgX6jATY+voQ9MXzOBj0ks/Duuw0jI0x7fawa5esbamSIoAkkyKUq1axsCCn1iESzcg2nhShfM/NYYJu2gtMpxGoSsuuVkaZjKnRkM0S0rC1MKt0A8JDNuX4BIEqK6fSeKJhuVakRB/W/KY+RDLAzDidh7e60WhsazQab/pZ7Id3KmvzbOjVrdsulVB7OmjHUw80FoNGI5DWOko4DfSiygKZthqq1o8u+VOV4lOmqr5OedPWr2mHoVY611W5MhGNaSyzXE6B9hhIQ+9qPDq1UJvadkpourok8J7NymJ0sJSS3zQXuFIhbtdEEWezHKqkdF4w55+vPKNcTiR782ZGR1XfvbQwVfflEnzpS3I9Lx84JD3tikVRtudfZXKjVq5UFHGd3JPNGtq1wSQHB00Fe12dnl27hCqmJ93AANXB9Tz2mBx340a1sE1MyE4jIxxZuZbnnpNL3rAB1mTKps8XK1fC8uU8/bScMgjEi03k94eJXIODHGnrMT32In1zI5V/5QWl06KD67YTai3bphqI56ebVybcWuiquC6k05Qrlmmv8tOopxkdS80T/ffCYgNiMZ4cG2PZMiVjChU4/3xZLKdLQsCybSXHGqM/ftwsoLatYGeNc6XT7C+uZnRUEL/f2FqWQF5bG2zYYAgtxaIYWOvs/eGiCQZm04pXz83nnlOy9s1vwugoJXWPR85dz5NPClSuIeotWxRH5YYbKAPrgPiTTwKPAzA4eInI7OIi3bMHRWem0ySuvx77rW8Fz+OCC7LAsHhdbW14sqNx+JNJRKhVPkEQCCq/t9AjAlwsspb9rIjPUyVuGIw6vhsENCmGaL87k9oSBDAxgZM7IDd76aUwNGSmjVWKhDkQMax7CWN8G48LzLkVIVwgag036Qmh1kjNxDRBR23JZzKm8l46reRfn8i2m7xJXNcQyBy73oyBqpQWw2NRJ3RdtfadDaQZi8WuA5bHYrE3/az2w2sdp1N0Z8PKPJvj63FC5asEAXR0eJKnVSxy0F7D+Lh4VOzaBZmMyVXW+XHaIo1TDWvDKQrvwgJNaQqASUDJ55UHYQB2Ez8WE+/qq+VEjz8uDDVEII8cd6hnegDxnnoy9dDT8TzivhR11tZWJqNyWQbWYfj7ExNNlc2XL5dMga4u2B+soX7jW+SmbruNrVtFp/3Rnavh2WdZ9+G38fG/qrJjB7zqt3tlhUomYc8euv/+A2zbJh+//W244w7Yl7xGzvf2t7Mu2Mu998I3ht8t5vm99/IX2/bx+78vz+oLX4Dq1l+H66+XhSGbhdFR4nf8T35v5FFe+lI53etujPOV4Fo50Ze+RPeOz3JF136u2lDH9+EruxI8tvxaeNOb0IG/a9zvcvPN8gj27IFvFNZSv+X3xLrevZvuf/m0YeXpsGA+H/Yw1FiRXuCNxayy6/VzX7FC0b6PO80dHNR7np+X9b2r64VLPG8dpwsBRNEQ/XdcNYB98OGvaSTfWCW6iWqqdBDGxggCQmaz/pBMGqTYLIrKEujrk1efy8H/ujMBIyNUcznYsYNLLxUxLhYVKSSTkXSAfJ6PfhTqff2CSyaT7NwJ14xUedvOt/C7vwt/8iff56Jbr4OPf5wcsPOhh+h+/7sN1yybhSuukNt4xSvKHLzrazgIOeXoS16C+G8wPn6U+kMPUVhY4H/e3c91132bA/ZavvLQQ3z0U5+C22/nmWf+FfgrUZyXXSb1HHfv5pZbMDLGxo1w222wbZsqBwjrs0flxrZvh74+xp7pMBA84+NYX/0y3bMHhfQUJKBSYflykcVDdj+4Lmv7qhJGKBbFUFu+RowvVRlbF8eouin0QqDrY1gVMQQLBfGMKxVMg+VsVnRJPk/YP0trN1X+JZMReyaXI2Rxak9Q8QJcV17R/gknxGdVGlTNjjcRWQoFhbTogK/ScsuWhZvpYtQgRmajvbnSin0KmU8DjwEOUkR6+Sm2+5kdZxOLO9P2p9onlUpBvc4rXvkqGo1YEywDYLJvgyAsv6MCrcuXaygzLsdWQSDfV72/YkHzsSIvdXERsMVqLe6Rl9zfV4fR8aY4oi5pplqShQWJk0mxzDWLYGCAQ5WUwdA12uDYdRyCZqDe8zgyZZmY1UUXQTy3n7XpNPieuEr/f/LeP77Nst7/fza9m93LspBlWZuVUELX1VK7UWYHZZSdgQOHDAScMOWHE8Gzc0RFRcFzOMrRfRQVFXUKCuIE1KETJgyZMGGOOQqUUUYtpYsldqFL1yzL2iy7m95Lv3+8r/u607kNPEc/n+P5Xo/HoG3u3Ml939d1vX+9Xq93XR1eo8iSJSLYXDz/Ajyqkdytt/pcEM7ll8suXlsLoJFtugh+4oly7X4/DQ2OGnwUFi2i2DSXGR1i45YsUfqWWjRXXci+fRCNMicop5k6VfEC/TEd2Rb8IXJZpd8ZyShCqyUbz8gIg9F3kNuLVgAJh9UG4Pe7oBvTZNIkN/oKhxFwgOPpRqNaOEX3Q3MiONME16F1u507GwOugTsM7f13H0cqFxyL65pXaLgJdedgEKZMIeL8rjIefkvxlJ3NLxqliMdF/KlIBMsiE6zl7u/KHL7ySrh6eQGu7MF3wgmwdClbt8q9rasTB4xUSiZFayuLAc+mJ3Dyc7YN37nHx7Lb7iO7Bn7721M4L/g8dB6g5fzz5eauXMms7QWWL5dfHWrL/PkBanM72KIupbK5GTrXAVBRUUnvGHQDn/gEfOUrs+npgXNQJvHKK+FbB4FTuPhiyH3iUbqANuCuu+DJJy2mTzeZd1ZWk8cbWq+RTkrBoFj0JUt4ZJOPQACWn5eR+xMOQ3Mzg0Me9qbU/EqmmFEXcEFQag8pLwdGZT2PIgaxMRoVrdO2IpYlADRfCSBFAD5ZME23duY815JHGolAMVuQWmG4EtsGr9pIHCBcXR2QTP+F2lTe8mgfcPp0JqT9bVtFaCpffSDtMnZIT1wMjiiDsw5LnbIyJopHHy2lmQYWAEMlP/9DjWPx8A7/+WjHH22kUinweOjvT7iF1eOPxzRl4hUNr+TBbJtYTD2IWIyiP8DUqaKq4XQxdzZgx0txrI6DzHaKghUVJWrxqkdWNgu9cY8cMzICr78O2ay2UY6MXN72SmNHpdAPaAKPQ3tyNmadSnCiDAc1iESTxx2n6VNoQT2HVKY2aqcml8sBzc0UgpWEw2ri53Lojo8q9XD4xk4wKB+kyPKNDUVtNTo7XQWjcBg3NFWq8uzbByefTJ9d49ASiUREiUZXyA23B5eGTZdeM253BSd7otMyIA9UHT95shw7IXPieLolvD+Nwiwp3Dl+UQn7w/3Btl1lCjVKgvu/6TgWYOtIxxx+3AHVqrpY9LjXEg7D5Ml6ihQMHwSDmKZaD86DV0CHWEweQ8aoFGTTyAihxHZiMclY69ZBSu6KnTtpaZH7l0yqqFFxQbfHFdHa6cGTTnP55fK2G26QGl5rK2KM1q6VX269lR1WPX6/q2VgmmgJLafpKiAIK6RN+9jYPsJIhDB1KpxxRiUXtWUwgPoTTmCbNQ9pJzBHuiMgUQTptDplQSIgp/Zx8KA7txUyLF83l8cfV3Ps2Wcl3LJFtWn/fo0BERSk4vQ6bckKhohfOClFPecd4JBKTzq8PcJhTXcgmYREgkmTSqoiylg5a9U0wemJ5tT2nVSyk670GkW3tlZKLC0ZFRXu5xMMynvUnlLEo/0jj11wjysBPDnle2cPt21l+IoT9/SjzfAwcBCJ7kLAl49y3P+zcSzO3ZsBUUrff6yFfKRzAzz+29+Cx8N5571H2twbBpx6qovQBJ26CofVRFVGQ+eZnQdvmhQNr5sfVxuiaZYQjc2JzTCxLGIxiT4MQ5Q+hs+6QMKul16iPvs8DQ1iAzWptGRCFqM1ekWHurZwTsOARrG98AIMjvgmyiwol89DkdNPLXDeYunRtqUzwCMbPAyblZI/VYWPaFSMWwCpTzrUgFdeUfSCKVNkh9q6lVDnU9TVSd3k1VfV/Zk8Wa6lVGIhmdRpEtB7A0SjDFDNcFB0MXnuOdi6ldqYpEuyWflavQmv5sDR1UXIGmDSJKnn9MY9JSrewPg41ZEiTU0680s6DcP+agkVZ8+WBZxOM7ehQHOz/pXBsZAco9KTwaD86M3ucXXCShbq6KhbygLclJ6aF45XW8JF/5uPYwG0Dn/9SMd5vV58U6ZgWYZIWQXzcq+bmkgrx97btV02auRR7kiG5IKUUoEDBE6npUkyF14IwOVzuvnYx+Q5fXGVR6CVU6bA3r3Mrctz3XXwznfK/NrhFw7nvGZRYCESgeXL6Y0sZP58uLrj4/xi+UOMje3huOMe5LMX98Lrr/PIF75A8R3v0HXsri5X8MeyZOkWgyFizgWbJnADEOaMM6YRPv98Fr7//Vx5peIgPvssPUDfrl0sSD+CaS4C9krvvB/9iNMAqqq49lr4wx8C3Pm9opxz5Uq47jruuENop0Qi8PWv41t5NZ/5jETGgy0XwPLlFGL1AHofcPoG4vdrAWqHFrNvH1q4WycQgkEtmK3pQn4/eauk4bCKxpzMi47ylLFylqWghcSRDzCsm0M720fe8vwl8ko5fBOcPTXylkdSlyq978kNu0a89E3qfE6WdGxM3mvbYmQ9dgE8h6fnjzBUl/Pr1P/vHx8f33Gk4/6njTfzUkuP+Wvg2Icv8HcuXAjFImVlk6SupqQR/P4S5YNwWNrnxApUR4oUDB+JhLvn6XRhLofHyqM6bMjkUGhOPfMMQ4usAhrEUhsrUusXj27TJtjOPIE67txJdc9T1FSNYppiyIZtn059J5NK5cWxHh0dNJp9NDTIQnntNSVX5KTubFtHRwW8kM1SdaCPpiY5X0cHcP75sGwZxWgNc/19NG76Dqxdy2B5NatWyfc7+eSSNNPJJ+s2KnOzW7jlFilDxuMweOalDLReynOvikoF69dLHWNkRGuVxmIKoZnL8cwzUjdk8WKXg9HTQywmf1q6VALG7YkQW6zTeK58AcP+aqpG+zl9dAv1iSfk+urqGDx+Hrv3mWzvlPkRSvdSm36eWqubgJFnRyLAU8l6kTWrq4OeHhqt7by7qZ/WVqm9bukK8dy+evpzIXFcsgOye776qkbCZCyZD7t3yyOuqECL7B4O/Xbm4N+7hvdWnL8jjalTpzJl0iQqKsqkjolPil/t7bz0kgJ9AKxbR7WZYXRUPeexkOS8slkCuQHqYwWiUdkvtyRqJDpKp2m851Pc+Zk+Ojvh0ttOk4Lv9Olw442Ebriay+f3Ydtw003Q13IZ9PRQk+uWSXLttaxeLU7Htu9+l873vlf1rHyAr3/9fXDWWWwHvgiErAGefz7BBz+4l9pgho8Y97J1q2h4rlkDi0ZHuVVJgI2/uI9U6sdsu20LRKNsu/5nPPzwFxkauo3BlguoRGTI+t7zHg7+9CGuu+4CXnnFov62a/jZT8d5ruWjLGjOs+COy+Ra7rgDmpv56re8fPe7wzzzzGv050IMpFL03H8/teu/iWHI9/jmPQEeeEAcPm/7FkJbH5H77ffTl/K52BNl3SZPRhsJJw2pJ50ChJQGXBMAIMr51u9TWZ9XXnHlYTlwQOZ2PD4BaekkfXyGS1XQ1qkEqDR9eomKihrZrBISVynUYFB1oVHhbMH2CKgmHGZoSL6HbrNl5zU9YZyJxPOj+oxlZWWfBlrUMc+Pj49//S2vgP+LwymeH6mwXhrllR5f+trh7zn8+CONNwYHoayMzs5nOfts8UQdmK2uvSnLlo81MrLPlbiybdyiq/LI8gjfKhhUUZ0t+W9fCa5WS/3k0F5c2vYQjVbiz4mXVxsrwtaswCSbmjjw+h68yOc6HQyiUSWanMi57mtrK91x6aNVV1cSTZTCn2xbUiL+AMlkCNMMQVqyT/WRYXj0cZg5k5RZS9aqpVFhwKtmSK+zffvUOR3yTUMDjuhfvy3Q6fJyCY6qyvZAOIhleQXI4+T9Dx1idFR3UuHdSyKQTLJoUUAg5NmsYOAPHADkFsfjLpVwXlNBy6Vlcl4y/hrMlhpRv1GitFVmlpmVh6g5Sd14RWgq4NV9ApubZXOkK6VVXgaHPIym5C2ON6zTOc4DNAyd2hlTDWdnzMDlrlmm64SYJobrDKsi3sQC/N96HL423gp/FcC2bWyVOpoyRc1hhY6cllK30LahuZkMIcrLB3j726GqIuM+HJXS8xngC0sPx3gcuu2FRG9diGGIUxMiAz9/XBy7j30MDIPuhI+WFmkEWxstQNLUMmOixrGQdevgA/PnQ10d+35uAc2ccMKXYK3c0yXAQ+3VwCuY5nSGDQi0tJBKyZxcGO2DpSu17F398nn4/bD9LhPWrGHBihXAUiBJ1dQ82wETqL3qKq7ZcCk//vEezj23kifu6hOrtfh6tvdUMu+uuwSdqahAp55ayfz5ASBATa6bPFCtIlX72YxOLmjUZCzmZovSaabMqi/xmSxV/vBJU2LVMisSwW2nEAxyIOUqLdm2K6nn7GHOdpXLQcCBmR/Uj5jiwCG3juHsWcop1yIEamMsmj48pqXUpXy6H+aMGehCtU5fZjO61ptNgRH24D2cn2PbTJ3q5dAhtwGzafrwqOPKim+deO5RlIT3AVXHOO7/yTjaooQjQ6jfKufOMaDH8nZPbW6GQ4coL/cwPIw8gPZ2QFKC+/ahJ1Q6LQGNN7tH13vz+Nx0XU8PPivjtvhRhaOREXVtql2Gk5rDMKTRrN/lw0FJfU9tIIVgpRZAqKuD2vAw06bJOQbLqydOznRag0OcUtbICG4KQsGIMQxCwSJVVTLRnRTQc68GxFPfuJHq1HZ6euCb62sltFq9mu8sfYIVK+C22+DBSVcLsMDJGSWT1ASHaWoSrv7mzcjnbdhAbXY7g4PwRPAyleOBhbt+yqpVskCee0FSJVXTCoyNwRMdIQrXfVSM6aZNzEs+wrvbJB3S3g6PbPTKtafThHL9hIJF6SKNz72Z6oY60m8FBHXptfMT1G30PVFd1Z3O5XV1UnNUwhIMpDzkg9VutGxZEI9TVeEKSO/fL88lY/k0fYV0Gq81rDcNrQD/dxhvZX0cflzpmFFVxb59+/B4CgwOQn/SI2mFV17BslTJS/Eb/X4IBFSGv4ST2Bv30J/26Z5xnmxGYxzSaVeGkq4uOeHICPj99Kdl02xtVVlQy+I3PbUiYWfb8K538c1VeW69FZ5Y9TzEYoz//nn+4z++xK5dB7js4gK3XnghNnDOe8v4xCeOJxaT7OJT6bls3SrAz167luyTT3Lv0BCsXMnOnXt46aV/4dLbTiM9NsZvzjyTVGoe8GfKpvQw70c/wgCS99/PV74C06ZVumvUMCiGK1m/Hu7bEJJJs3kz3HEH57WIqLptw0M9jfh+9CPJnqxdy9sm93PpkrzO2mzeDN25GlfW6KWXqDo0oLVmiw2NGunqyw6AYbBzp7qPzsSyLLeGp7ABSmioZLK7+4KDwpwzRx5pOo08UGUxnVotqRT1dUWCQUUAV5ki3eXeMPAaRT0FUil0LT1g5MW5d7z8UuOp0hxea1gMomU5vrjuTemh6Frot1jDA3h7WVnZB8rKyq4GZv5Ppya8WaryaMe+WXqz9D3OGDt4EMbH+d3vNsof1IwJ+aX4XlGBrMC2Nvx+qE7vgM5ORkbcTjF52+vWyJTIrm2rTa8ECeVsfsrOaX5TwM5QG8njy+3RG8L2hKLGdnbi7drO5MklDSKROkpteJi9e+GhTQGe26e6AGzciGf9Q1SbGQ2Sc6SJMAwKwUoyhDQSperQAN7O5/Gl+5kyRQVUra1w7bUMHi+e74oVwN13a/a3ww2sqEAWqKrxODnRuXV5WltVDdQwoLWVvuA8OjrUHHcUfXED0zlzgFSKTM7Liy+6imGA20ZEQa/LyxVNYxChaagV5KCpJ9xvlQYaHZWNY9gWqLM3PUCIDD6jQMEMMOyvZpiAxlI45F2njuBs2BrEEY26hft0Gq+dn9C00rIU7Lqkfur0MdTAl7/zOFoGpDS9f/h6KlgWjI8zNlbu9DyVa9y7V6fQnYKq1xpm0iTxxjNZjw6HneDXcRQHrBCdnVAdKVKb2sbixeK09EYWSlrh5JPJWx5qUs9zTu4RFi1SiiPJAB0das6HwzB/Pg8+Ks/vvK2f56GvfAU2buRLX3oGWC5KKk8+SQIoIPvj/PlSKqyrc7mYpgnB1laWA9x8M0uWVHLSSXdyxx0QnjqV03DU+psBeCp2Da3XXUd06lSqPnM1mU1CsRmum8dz7/o8t9xSIvrsgKYefxxuv50rrpB1++//Dvnl18iHb92qjaXj5DocTq0NOHUqBKXTuObIOU6tZUEyyQknqM905mMwyKRJaIpUCShb1+4nALdKgF0Kq4JG1JXy50qiulJ+3ARAlyrdaISlivCKpo90uoTik07rdVQ0fRSDIUlnqjWis1+4dbyjLZZjLaGn1etlwBMIkOUfYpSmOI+2cN9qjeKIqVKvF8rLMQ2oqDhEJnoKoYYG2LyZM844j0QCmpbWywYZMcGIgW1TVZFhfzSkJ5DPUWBNpwnYGaqqQoo/6mHqVJVCUHLzTU3y7IdtHwHleRUMH17TJuJ3KVyYfj1jC/sKTJ58WLE5m8UwAoyNlUj3VFXJYlEgG8doFA0vHsvCm8tgGCEGhzxMnRrAF1aLKJfj9NkZCv4QA2kviXQ9Zg7OW1yUBTpzJpx/PjtytcyZIx54QwOSuquq0vUb/H4Kho/mZvAk+yFhMRypp32zfExrK/Dz3WIgzzgDA0kr+hBwRCrhBqw6+po+XfPeLMtNKYfD6pmGwxRsD35TLXZwF+OhQ/oZOSUHLHsCwtJLEcM/cZ45TqXDm9OgI9uW9ztWUJ20aPqYbDPB6Go0Z0nBzmMX8BqGlp/7e41jUQ+ccaR189O1a8Hj4bJl53HtR35HTw9UL14M6TQrVqoWS6lK5p57LuRyTJlSouxhm5p2Y9uIlclmqQ7mKX+HpOLM1gW8+oLM8fpoXtL2imqQbzoNX3SAULaPYEMtL7xQwv1vuxiyWS6f38e57bWw2uDSj32MH8a+DAxjmo/S1QUsOoErUym46SZ2e8RZU19D19xrokXpHQng97N/v0tRrVm8mPCmTRAcZv78s7AsJSDttPtYtoxucx5WF8wzdnD6aJZpKxaydq0Y1D67htpTThHDVVdHRYUYXA0MveACQXVNmgSWRTjs1Q6CYUA+XIuvLqut8wTlEcOQ+a1qb5rvC7pefOCAj8K0AF4zi5cC06dLl3qdfj9YopiSMqGhgVRKlnddHWQSB/VN16UY5bQ5KGTNmyuZ+6XZKY0SNQw8SBkE0FkRj5XHZxgU8Wrj6wVtkEH2AB95UYeyAhjBwFsDragRBM4aHx//CVAzPj5+3zGO/R893gyFBseu6R0+XnzxRfB4GB+HYLCckL+gpbKCQdmgvXYeIhHx2NWqKfhD7NsnzzXkL7htyqNRisFQqaM0kXelJlIwqJrCqmKg1xoGw9AOXknJT1ToFQczl1OqCSotGQ6jlfhLc+4gi8EhSg8NIQclkwTsDJMnlyBFFQej4A/hRYA5DlJK519zOYqxWrZu1bQ/PPFeMAwOUS47hmIcx+Ml0HPD0FS25mbwtG+TMHLRIralakmllB7gpk1gWSQScqrp01XXcNMUJKWKhqNR+XHSJLmuTFZQYLZ9WPoDwO9n3KhwvfqgaqekXh+2ffQlPAwOeVzdwBK+gN+Pvk+DQx4yWY/QVBw8uHO8bes0kSOwYhiq5ldaNy2Zj3+vlOZbpeQcDam5f3gYysr4p7MXM2OG4sRNmQKLF9PVJYo8c6MZrchz4AAaaOA4EdOmQcgY1uF7xvIxOgq+dL80HkV8qO09PnmQ7e0Eurbhyw4w7K9mR66WZFLKBw0NSpWlpwdWruSHm2olM/aFL8Cjj6rO6Y9hWd1U2/1s27mT3pEROP98/vAHSSY4meVIRGijrFkDe/fiP/tsuqPn8eyzsluf05xhz8MPUxwZYUtnwOG5CxVg9mx5uJs3C7UGKDbNhbY2TW5fulTVOB25rHCYzk4Br4bD4OvYomkITJ7MMIEJFKJgUM15Ff0VzICT7SXgL5K3PKIEpZDhyp+T86mily6NqNygXueHyXT5zKKe66Wyr3rDsO0Jc7SIR2vB6pOozc2ZP85+o+vUSAsyw3DbmhX9AVeZqkQsurSmY1kleqAqBWoY/FUGbxawS/089RjH/Y8cb4Y0O9ICf6vAlXnz5snxRXU/lbZfxg64zrmyVgFb8sw0NRGPS6QRjeJaNPV/Z88sNVo+s6gt2eHirU4lOWP5NHy6PpyRxH42C7EYu3e7ql+ezu1C5jWrHXQ4c+vygoBMJKCpie3JSl5+WRZEJAJV0woTODOap6cszI4eL2vWKJWQDRuYx3ZmziyB5vv9eHLDBIOywXV1Ias7m6U8PSjfVSnQtLeL/SpGqqWuFyk45QI0WbCzk1mzVOrXqBTi7ViolH4H998vBN5kEpqa2JGtYdMm+XXyZLn3ITNPwNqDL92vOzgPRxspNMwFv5+ykWFqIgVXNEA9mII/pOWQZszA9VrVcNJIzqOdoFtbWvk3DIrB0F/QkbxGcULKyKEm/F/JZTKxLv7XoDQ/e+ON4PHw0Y9+CoCqqYpj2tREMqk29I4OGBujL+kln5d7IyAsuWEa3BMMUvTLOqqJFCAep9Awlx/8QObCPH+vFNXicairo8+qZtMm3eycBa1FWlrQCD7a21myREjMxpw58LnP8fOf7wPSTJvWCDfcwDYknTkQmadlxRwHJBhUKfumJtmZt26lMTrMzJmm1pH1AZ7//E/e9S6wrM1ccAGct+HjZN71LpJPPw1Ll1JbJxqzXV1AezuLFkkpe57ZjWfDI7LoFi+mu+4i7rhDUu8fWFaAW2+Vtg6xGIeOr+HVV9054/eriCad1g3hUil5r98PxOP4jIIrdWgYLg/SKXypSFm3OVMGTsBzbnrfNNX8UHuWypDK+8bGtLSYFg8IBrXsmcfKu3nhw9KZfzEHDa+7JlQEqo2Zg2p3+KnKWZrgG6pfnP37LaM0gXFgcllZWRNQfYzj/keOo9XfDn/tWH872vvb//AHoIRsrG6yU5IDdAohb4bwBSUPHYtVMzIihxdMH16/PSE6cDx8x5sv4sFTsqFqL8gvbW28/gIhO8/ixdJJveAP4V2yRE+u6dMltVZeDk6RMBQs0toqXJui6cOzdKmeoHWm2+NKIg2kcaftwWsUqdb3SNIMTSrJretyfr/e16uc+lw8zjvfKdqWY2MqTWoY8sUWLdIIs8WLfdpzDfj9EI/T3NxIZyf0B+dSs0RWWFXZHvZHKsnlIGSaVBkZFi8OOU0eCFxyidvRIJVibl2EWMynFWJEtsmH15CQuWAGsHIKFea0LlGFbsuS7zxjRgBPTvqITZkiiDDbdlMqjkFSWWGNdHNg0rpQ79RmDQOPlScY9Gl1CMOQ2oMZDMnxzsItMXZ/L7t3OIf1rQowOGNocJBJhkGx6HUzAIcOiWpIgzybOReehy++g9pghvzMcS2cEFIpruGcB79f7rMnN4xhSBubmuZmvMk+brmllvZ2GPDXU/25z2lwV23QwGwN8cwzLvnaMMUJqjcMSCQwWuDBh71cfvvtkEzy619PY926j4lI9K0PcaP1bjGgG+9lyZLT2LlTztXQII+ssxP6F59Gzdlnk376acLf/S6trf/Oww8Pc2/HXK658ELYsIE1az7PVVctYuZMYL+fUHMzobPPpi92Ds3NskTmhgfgldfxtbTwyi4vwTmN+Jy2GXV1WJaUKG1brZW6OrmfkQjl9ijz58s8c8QiLMtHLFaLN5WC11+npjlDQ0NI7kVDjKLhFVSmUjpJJtSWM8PWG9jhNTupw3okprJtbNurgaAhVYudNatG0w68DhIJJoglVFQ46lCGO3mdqMx0uxygPtqrygsBxQf0qXSmRrc7yBXbxmsasj+ZJuRc1KreX2wbz1+J0vwGUr+7Cvi3v2oF/F8Yf82iPJbiypH+Xvr6kY5rnDMHikK+zmSQu/3SSwRsQVs6rWucZowOUMF5KM4DLJgBXcxXGQfZcFTYrou9yuhls8pzVcbVcc0CZkErTuTDNboIPmnc0iCaYQKil2eLAn3IFC+8EKwU8IUlefuQMYw3PQCWxbDlZSClUmnKG8xbHvnefj8eBLGpu3WHwzq9iGVppYS9e+XlmTPB09MN6TRjFT6GI/UScuVy1ESLmuRNNEqxoVGTlmuiRTf9Gw67FAflhiuhDxEBKO23E4mQscQZcMSpdcNVpF2KZYlwraenG0cVe/y4IJmcF9NU3B8gbwQYtkQgIBJRRHLlKOTxqdqrizcZHS3xZdTmrEM/tckbBlqpxakZeihOIOA5c/GvNUJ/zfhrUcqHj1mzZzM6OsreodeEVN7jlXu5aRORiPgfr7yCToFTKOCNdwu1Q9WdXn1VIvyBXADSaXy5PSKgbtuQSlEbFiRvNouERhdfTD5SC7ZNtZnhrLOUIo+KYurNfpl/11/PsmXw4IPAunVkP/xhLqrrJpuVLGUigaiXlJczeME1PPusfEbtsz/Fu/IarrhCB3Zw5ZWE/+VfyH/y34nF4OWXA1zT9SnYtYvuNc+zfPkrlJfD1fa9ZL/yFbFMN9/sAIwFyLVpE8yZw1NbvUyeDL6HfyptrSIRnkjN5dZbJQq89lrwrLhaMjDNzfRHF3DAnqTT4I4IUn1dEW+qX+bMzJkMWOJgVFUBnZ140ntk36irpxCuxrIULSEexyG1ahWVcJii6aOiooQ7Z9u65lfqcA8O6iXvZi5M6azitCTSPl7J3C8a3glpLNsWhzzgd7NZTkqzNLNUugeBOIdF06cNqWNT9To5rCTgzvUjjLKyspOALwE1CCWh7EjH/U8aRzJqx3r9aOd4K/W+2tpaKCvDowB1+P0CGQwGaWiQ1D3BIBmzWu65qt04cmKOd7ZvH9po+bIDE7pf6z1PodiqJg/T2FCUdB4Cbikt9E2bpoq2ZpG8GaLfqmSs3MSb3UMo1U0gN4BtQ1/SK8ooloUnNYBygt1USVeX7k6QTsMzz6jNSh3oy+3BtkWNJW95qBrtl0VsGNy3zscDD6iU7W23CXS0qYk1a6ScUhOe2BMulYLB8UqxRKkUoZ5teDqepztdya23ytc4p65fmuStX09h6aX8y0c9/Pa3gt7jmWcgmdSgj8mT+QtjZxjyuVVT8w7iXaesQsEigXSfyjMBdXWyMZQqetk2nmwGn5URRXckPTtsVuqmls5rzmZUanN95NFkI42AcUEuKhOls0lFPCWkS0kHOfOmNP35tx5HMm5vZS2AEM8pL8ceHdXKX5x4IjQ0kM3Kc3HSmt54N3i9FOoa6c5W0+efC6bJ6ScPc15bnuqcCLEPjlfyhz8ogYS6Oor+AHONbhrNPrZ1ePnmaq9Mo/Z2WL2a6k0CMbhvfYCNGxEpvUXnsKPLw/Ll8NADeVi7luBZZ/FIvJGtW8Gy9lJRAflslmJPD1WDO1wU49lnQ2srr70GL76oDMLmzfDAA/i6nscwlHDMkiVw7rmqbDxHqBFtbQT/8z/hXe+CtWv5zqphrrxSPb/WVgoNc13H8OyzZX4nEpyXe4iVK7WOhcyBWbOgrU1zQJ3hKPiQTLqk7nBYT7UDBxAHI1gp2Yt4L95kH8Gg4tkFg1qRXCMwczk8FEXtBlV3TqV081f9+ZGII3cq09RZMJYl870kTWrbaONTsGXOO068Y6S0jqzfz7AlWQKvndfauFrqTEXCDooT0IGEZanrciJIB2dw2Dia6/bvwCdVW6BPAf9xtMn+/2ocDWRyLE+1dLyZcTuWZzs+Pq6LoVOmqD/GYhTx6JZnecujvf7StKWDWfD7VR82ZyZZFh6KOlrRWYDD8t4OVUx7WyUejmWptJhZ0q7GIYT6/QRMoU1oJGMwqOtyM2eqU9XVaYJdrX8PM2aIgejPBjQJ22dlqDo0II1fDQMWLyYTm0ckIjqEsRgicbJkCSSTXH+9pGkefNTHc2+7GpqbqXiti/r2+6g6NEBv3ONyAyMRreJQVQWsWUPx0UfB7+fhh2XzCYeR3WZ0lGJDo8MvJpAbEMvtIF5wEJYWRdPnCLGTzZb0Vnv1VXkowSADlqTCPB6JWn1GYeLDUNFDaZsU5xkMW94J7U40b6gUFl7yvDwUJ9T5nHWqjZrzi/rD3xO08teMI62nPXv2QFkZ0yqjGiBELKZ19qqqVKSsdO72Zsqc0qlO5eqNWy2gvXtVl/RUP7zwAkNDilemdrquLrXZ9vRoL6Nge9i6VR2SStHZKfbw44u75YEffzxXx7bwnvd0s2YNjP9xkHnWNnwbNpDbPw7RKPP7f8W/JT5Cv13NpRs/wrXXuskFEgl2jIzAsmV87fp+IhH4YeI8Lo1/TXco/8WSe+Gf/kkWzZw50NbGE+0B7r5bNEFpb8e79SkWLVLoYyDTsIDCxZdBczO2LbdtxQrgzjuhooInko3cfTeUcwhfoltzYANmQe5XQ4PeABzjUBstQC6nG7yWphVnzEC8tmCQQrDSSVSIMcHjOtsq7eBIFFoWuguIZcmPY2PIfzRbXYYzj0tr4BPAx6r8oX1AZRCz2cMMl/t2HUU6EZ+zbztlosmT0eFg0fCK0T5sHM3gjYyPj2cA1P9HjnLc/7NxNK/zzcizhx/3Vg1i6fsLhQIUi5rvQioF8ThDQ666jmOnfORltgSDdCck9VVVpVQ4rGHdCZ1YjEzWQ0WFy2/xUtCqznkzREZ1VNB8UDUzC3gFUVkyfFaGilGxZgV/yI0Y7AJeo0gm52VwRCKgxoYiNZGCRkU5mlyD45VEo9I6S8sRObuu2tnzwWqKpo9QsMhxx5XM0VdfxWlo9+yz4hyPjsq52LpVLrKujnyw2gWBqNTfnDlyjb/7HeRv/Dye1la4+24uT3+PFSvg0Ufhhx3z1K4geILTT0f6mz33HCCcxLVrleyZaeKJ97KgOc+iRbqcyXC0kcwZF1BcfJ6kxtI7qLe7qRjNUTB89CW99CW9kkZW4ZvPLGr/Y9jyakJtgGEiEfl7qdMynFNcMydn7SgMWJbmqDn2OeAXpGvB9kz0TlUR/v9GDe9orx9pXTmj8+WXVVryNXEY7IJ4JoYh9x/E8pSXk481TjDcNf6MoAydFt22DbEYfr/s48VoDQBVo/2C0jROY0FrkVtvVaAW1Rgxf+3HSadFHDoYhO3pGuZFBvjIsgxPJBthwwayPT3cd/r3gCm85z0v8Nk1jdDRgbV0KYHl75bPvvRSWLUK25Z16vcLReDjK+WzYgDBIP3UcMstMr/WrBGjUlUFvW3XSJspR2onGqWhQf40bRpi5fz+Cc2cDUPaWWaCtVy0pMANN6j2lqtXg2lyXqyXk0+G/jfKIRql2j9MOCzzr4BXUntKqcXR8h3c54Kdsll0ajgYVP636kvlpaBr2/j9eNJ73HZhdXUQDjv0PtnrFIDM+Zw//hGp3zl5UeUEOiUZjf60bV0HdAr9Dm0nmxXCutcoEo2K4cobAS1iq6lSSg80YBYIBtW8Nc0JZSKnTu6x8niNoqDBS8bRZnqd0wdP9cabdZTj/p+NNzNQRzNoRzJkf23toqOjQ6U0y91NyO9XxFMxVJ7cMOXlSnlAzW6HcjA6WhLql4TeTrCnI4gjvAYlE0mFEV4KWh2hlDvEwYOQTmPbKuftdC1XVmnvXjcbMqFlQjhMf1KU2I87TuaZ186L8QxXiwHN5STFaRS0ooiD7vRkM3LOaJRitIYDBzRrQzz2aFQ6Wjc14bMy1Br9whVqaICGBkxTflTzW8LPWAxOOAHLKmkjlErhSQ24At0nnyyhZF0dfr9ITbW2opGYgyOuzuDBg4oeYualG7pTFInFYMoUJyvqbkwlqciDB8VemyYT8pf79rnBvNPAd0Id1gnNlVvr0B4UvUoL9+r6xWEh3d86wjsS7+5IDt6RHL/StXFSLAZlZbzjHWdob53ycq2XOG0aMtEqKkRBqFji2Ts/OHVOhHDs0HA8uWFZMIp+0tUlDkGN3SdelGFAayvt7XKKxoai3owzZjV5MyT94NrbBYRx1llAErCkZdSGDWQAYjG605Uk3yijGK6k1ujnc5+TebhuHXz5di8Eg/QA9PToaN4BeSUSQpWLx+VcpFJSm+vq0vq62hk0TSc7B5ZFwM7o8wxbkqo9cAC57pERTScYG0MTrgNmQYSamYiwLC+X2+lEO87ccnQ1DUMd7/frDWMCKMQs6S5eout68GAJAMU0GRtDf5ZGnpREkc6Uz2bRz9cxVM49cAQanOCgNLrUGSxlPJ33OL+U1uucAMFJyx5roRzNZ1yHdEpwxq+Oeob/IeO/UrMrfd/hxx/r/d///vehrIzioUPSgkeFXU64XjS8ePwG00yXj0cwiF89B/3cLHS9xinUOv9sWxa21yEE4aI4DUNdqy27ciYnoXt1pOg++Zwh+dZwGDtXwoAwfXjsAqFgEb9fzlOwPRjRGqkVqUkeDHrJZsX4enMZnfZzFmosViuw/mSSUDDIsF9UXqJRtCo+F1/MAw/IKS++GNmk/EGKLafB8+3iHts2tLayIxHAtt1uQ01N8La3gXftfXLMJz/JE+ZFbN4s57o0th0e2AQrVvDsM7I3LF8+D68yLPXRPeC3oSstElTZAM8+K8fV1Umxn85OgVNPnqy7mCdegbGxMjy5YXyqPQuxGBk7IDXzpDyy2ljRVc/1+ylGqhmMu3YzEpHTBvxFSKTdPLYi6DokcsdhMk1Xd7Nge+Q5gQ7/nHTP32scDdV8tHXgOIgAu5JJ8Hh4440UweBMjVAqhqUt1CmnAB3l0NzM/v0SEISCRQaHPFgVXuHfOTfO78dUaeHjjkOefVsbvdlK3RnAm+qXL6GOzweryWYdzJGHersbtm6C2JV89tYQIyNwZ9N0eoC569YBbwdeZvfus+h68kk2ATf4/SxaBO95j3y/Be3rqJk0idtu+yg//7kyQHfcwWmGAe94B/Oie9i2VoxB3qph9Wr48Y8P0dxcLmnW9nacnkeRoDzfV1+Fi5bWQSIhXb6z/QKYOfdcrUQ0OCil79ZWOKejg2x7O8ENG4g0zeONN6ShcUuLj8boMCQSeP1+Qo6OnWnyxhsltbOS6McxHo6DpcUZbLdnZ9Ef0PiTkKkyU5GIThcK5SAI4TD7t4puxKxZMPRyURxY3YpBhtMXFgwBd9lesMGn1qgvGMSy1P6rkMwjIyLTZ5rIWrZFjszvl/fi97upSpXynzw5xIEDqh4+IyBzVn1GORNRmkc0eIps/g81jpXiLF2chx//11IUAK6++mpu++pXKS+H8XFwoGghfwHL8ipankc8sERCUiBpH7t3C6AlRMZtYqjcm1xOPBWnQOyloD3eYjBEKuVEJBYeTYgT4+oEZg0NHkK5lFt0sKVnloPS9/tlslfNMCCV0hMKw4BolMERH6OjPm0ga6JFt/lcNAqWRTV7qK6TyTtg1JBIgpWQBbog9RBs7ISmJvrO/ygPrHaJu1WjEtn1p7zUBIuqZ08vLFnCjkSAzk503626Ophr9sK6J8V7fOABfrYhgJWER1b3S+dM6niq5bPcuERSSd/+Nnhv+6KkS1tb4corGY7Uk7WricclGHAM7wJ7C1y/Vq5r2TK22AvYdJdc4vLl0P+7nXDPE/KHRYvoTga0xFQ4rEpTW7e6rbGbm3XtSJVLMQxVY4knNE+TaFSi44mBPaACOkMRbu08ZFWoqCgoun3Q33Acjv50fv9rEaFbtmwB4KMf/QDf+MbT5P2V+Kqq8OSGicWkB6RD5tq3W8BawzmP8PWc4lAsRt4IYFtuMFwdLsDWTmhooKNDB+oEsil48kmxQq2txOMCZgyHRQOTZBKWLqUvG+JrS56CT38aXptGbP84Zcc9AvyBn/zkqyz7YBlbgRtaW/lO9Gu0tcG//iucOrIF2toYiJ7GjTfIo165Erj9dpI//jG+H/+Y0Msv03fzD1myBHbu3A5M57bbTuRfk/9G/s47MQHP+vUQiXBr5zzuv/8x4Dxu+tgY3HWXUG/Ky+GMM8gYlUydCm+8IVM7HpdsJjdvwA/Q2ko26XKoIxEEsLV3LyxdynOvBojF5lJVkcGfliRHKNsHqRQ5Qwj585rCkEhMzCABGCJVVlUlmZmDYyF274aaqOmmiiL1ev8JBN2MkyNgMeTsI6YpdCkKeOwCkyd7OXgQAtPkXL6goDiL/oCmL2gKFAbDOQ8HDpSsDee82SxetU8OEyCVUMR6UwyeERTfvmpaAXIWeSNANuslGHzrNbz/8eOt1uRKDdubAVre6mJ/4IEH5DOdQxWEKm97tWBCOq1oBwqeP2mSK246AchQUph1+F06DQaCnLLybnqglM+STuPJDXPwoCCMtfi04+IViwTMAlVV8msiIR5kJutxydxqJ3EMo2XJ5LEsUQpxUpeYpuhpWhZ0duIzCsTjbucC08QVSN65k1r6iETk9L/9rbrAJ5+kJjgs/edmz5bv8OSTzG2QtOjevS5VbThSL8d0dcG6dUSjYrQe6qjReaZz0r+grQ02bhxj1Sqkx59ty47R2Ukg3af7rA0N6ZZ6LsEqkYCNG1nYPEwsJh+1Zg1uywiFWG2sKzB9uqt33dWF7DoHD+qTOiWoRMLVX5xQuVcFDK9R1Co2zn4SChYJGHld09BpcHUzvHaeadP+Pjy8Y9FvDj/uaOn+mLr4r3/9TiwLfDnp/VcwA25fYDVfZ86UjTuZVLqxTiozl8NnFDR5P5dDMhe7d8PWrYTDaBAKTU1iQDs6YN06LQP26qsSAdHUBDfcQG3iKb76wjk89B8vwbPP8tRxZbzxxkVANx/84IXY+8fZBtza3s7HZz3Gww93u+/fsIHqXC+LFokTlMtB/8ovE/3GNwiddRbcfTe17z2V3o5hTjhhHvADbr75J2xb+mU8QAewZ+dOuP9+7rt9D/BO4C5CUR/ccot84R/8AFauJPTsY1rzNpeDZ58d47bbgIYGugFuv50lS+S+PfusGHfOOksWXU8Pp59akM3e73eFf0pSxAcPqnqz3+8KNjuRmOK5HTgABINMnSop6ILt0RFqwCw45TydlndELTTxXH2wYQjCM2+LsdECDaapIzMPQh+ZMOcsS2e3VYnP5fk42mPZLAE7o7NADjZBg7/UAtG8QmDc89ZqeP9w40h1h8PHsQAqRzruaOPWW26BQ4e47LJr5YEr/P7IiGzKIyNQa/RLKrClBaJRqmYUdeeXCXysEvSl82cnn61dXUXSDAbRXLGMUUkmXE/eCHDyyfC+90FjeI887cWLyTcvkJ9TKapmCJ1h926VrrAGhEqwc6f0gDvxNDo6xOAedxxUTR6mPjIsi6iuDocAFbIGJOJoPo2+pEzeWAxOP7UgahHZLFx7LcXP/TuEw3xkRYEPf1j+/JuuGkGtbdpEfXqb3Idly0QJHrf7Ql2dkg0D+hvO05vDwp4fsmaN2OifGVdLYWXKFO64A77xjQppPtHWJvdbaWgOh2vp6ZFrOv98eO97xdYVgpWCIF26VHJkuRxLlggGZtEiOJAvk27YV16pKROnzy/S2iq/GgZi8E4+WRdxSrKVrn6gA0Nz+gWp52kYrnPjzDfntdK0ZtHwuurwRlHXBf8eo7Q2d6S5fyxE81ltbXiKRU488STicdXH7OWX8SZ6sSzFS1V5s927JbBprCtIKtM05R5GIuRt4abVBIepD2cYG4P+s66gr+UyjjtOop+rm7aL1Vu6VPoFrVyJDwEjnXuunOqJrmocS3VT2dfYvBk+/5mDXHzddVSv+lfKyh4FLuL66+GzqDTX0qV87nON7Ns3ykduDkkTvHCYSESiu6+1/IKa2/4V3vY2HrphCz/76Th87nNw7bX03/kYZ531ZWAaF18M5urVmCC1wZNP5pH2SioqTOA6broJmUDLlgnZrrkZXnuNha0FZs1y9DM9Imr9iU8QBOwnn6S66wlmzJCNvasL6ere3Cz3z/Hk4nGnUYFGbjqp9WwWrUupAWiTJ0MwWAoeBkp+Vi/kFfEc1PtKRKhTKcTjVShRj13Aa+d1rVCD6ZQx1OdVqHTLQjd79Vh5bah0ZrSkruukTJ0MinOMl4JG+xbMgKZL+MhTZjvCoc48/gcdRzNIhy/KYwFQjnbs0X53xqxZs5hUXs74+CH27lV//N3vmDpVDN7+/YhBSaf5zUYPfblK6OqiMZIhGJTIrxgMudVaw+2l5zOLeNLCdcv7K3VFvK5OQYBjMfpzIbZuVQ917b0ENj2EbcNzr1fSZ9cwnPMIOlRZyb6EXMP8+bCgISM5GsOA972PbdY8XnxRFtqC1qKkHhWKEMuigKA5i8GQRnz29MhXX9g8LOdLpTQxaEfcx9q1sCMRgI4OTv/zL1i5Urh8Dz5bIxbj6adhaIgBo4Ze/zyKhpelS8VWAZDLEbD2sHs33LupRqB3PT14ll/Gv148QE8PfPxmH72zL8CT6ONT1xdYvlzSu7S1yWcEgxosMDoqe8Mll8DClrx2RIorrqF48aUQDlPNAPPC/cyNZpjiG6dg+CjE6ik2zaUYraGIh1hMdCJjMeT+1dXh9FUyTak5NjWJV5vNwrARmtgqWkV5polWWNGK846oLh68yKYBshkUDImEqqaVEgT/dsOZ50cyam+WOQGIRCIUbZuxsX0kEqqEG4/DL39JNCrA2XzDPI0AmjwZ3RoKgHCY7h6PKOVYSiM1m+UHP4Dbbxff4vT4T/E9/Zje5Yp19TzUUUNfZAHkcixdKo+juVmmgPY+NmzAMOBLX3qcH7b8EJ5+muLyD/DYY9dx//0W139onFuCQZ4Cvpz4AK2tk1izBi66MsD2REgnLdi0ieSdd8InP0kiAVdc8RMmf/AykeRbupQtsaspK7uIoaGf88TsjxICcgDNzdx0E4yNJfn2t01u2v9vsGoVveEF3Bf7vKQUcjm44w5On9lPczPMnl0uVKCzrqBm6lT2AKxf70htEg7Lreu26xmIqPva2QkPP0yj0cukSfDQeg+FtnMwDJmTjrOtRZtLLJxhuA1YHSNl22jkpWG4bSwdJ3rWLJmyWr/S+acMnxfhpe7di47OPKkBofoYBgXDx3BOAGC2jY7+AkbeFcIvCfksS7XxMk281vCEY0pbZ3mNolsqOEJK5B/W4B1eg3srnumbRXJHoyIcftwTTz7JaLHIgQM5qh3RteXLiceFflZvSr1q8Lh6/H61QSpInlOj8dgF7cEXTZ876VQu3DDQk4NIRKMTHX5fXR14E726gWs6LUXkWEzVjgyDsSlB+tICBmluhlpzQBeiaW3VUZpGIx5GOyj6A3iNIlVT83go0putZNMmuZRqq08WmZNDCQbppZ7HHxfjOTf1hGCrly1j9WoBWl4+p1u880suYWhSFIB6aweerh10dYmTGjBEGzBjVPKnP6nN6447ZPGtWsXn75Ib/p1Vw9Sv/xoYBl++3cu3vqUyiFu3ymaay+ngatIkV9l+cMSn6mg2np5uEabu6oJIhO5cDdt6QhzIl+FN9uHd/ASe9m14rLzuP/anP6noLZFwUa2GdKR31CecZxkwC+49dSCZyvg5IAAp6k8cedurxXIDhjLQ6u9/y3G0NVT672iI5tLxyKOPgmHg81XS1CRzjXe8A97/ftJpCcZ8ndsgGOS11xSoz0m5KTCDJlJLMZo+pPa0eLFSIwEhaQMcPMjQkKtZ3JutpKdHqCnzgn1iGB94AJqbeeKWLXzrW5uZPft8PvKVk+jv6eHzdT/jggvWMX++yQ9/XMat2SznmCZlP/8e7e07aG2FR27rZt76zzNv92OEurZAayvRH/yA/k29fPrTh6io+CAH//NrPP+FL9AI/MuU+xgf/zBQw3kbP8UWoBLg2mvZuxfKyqKy/7797RAOUx8rcPXygiBU2trIXPtZtiRqiMfR96zm2vN4YmSE6mCQ7dd+n+eek2WguOg0RoepNvbIwhkZgeZmnttXz8svix/mRNiplKoLJxJ4KLq951SaORyWtOdAVlSJZsxQ/fNsG6JRUinJkjQ0oHV6X3xR/+jm5kvCM8cI6Waz6pfBfV6Gcx6d4JqAWbBt8vjYt0+dSpWKBrJCNNcUL5URA3TZwAHTFRFRdydt+teIR/+PHkczVG82jmXQ3mzBO+O4446D8XEmTz7OJUkmEvj9qvFitAZMk6oZRekQkN4jPLwejzi1qiDnyQ3rOpxD0SqqrtYeu6CjLIc0nc2CL9VHYyQjE0lh/R2UmmkqSoByxypGpRWLs9lr91C5e5GITNjjj1fdGxQloRCr12ouBdsj3yMepz6coaFBQAfFWK0mijspqeOOkyiypQWt1tyf9NDTUyI3puqLY2MlkOVEgrmRPdTVyaLL1ImeoWmqr1pCatXIZ2fDzGZ1fbKnB7fnnGVRE86zoDnP6adKyqO9HX71K9Vk1jTlprS3a/K5k4bZuxcGzFpZ4bkctLfT6O/XEejWrdBnNrqvd3ZSY+7RdTwnsszkSoSfnSLsYY1dHWKwc589ltTyJohEqCr+35qWcCQ05rEM25HeB1A/axYUi5SVlblI0j//GXI5du5UNc9UCp5+mro62ZuLrQvk/mWz+FJ9Dp1R5mddHbYttbOLlqiods4cHnzUxw87T4Pzz6fquUe4vOIh5r7yU+rNfjo74RvfgG6rVhCDixdDWxt1dXDSSYv40pdgTyKBhdOr+Se88MIzGGedBUCHZfGhD00DTHmODz8M6TTdJ13AvfGF7Gi5hvyVH6HG3MP4n9+gsHkbxOOcdtVVmC++qDowNALNMH06rUAU4J572BMfZtMmmTcXPXgFP/R/SnhyGzdKWvaeewjl+nXaMBZT0dSqVbQAZLPMy22httbtxKA7izjo1lNPhZNOYto0WX+NdSL8ns26jh6mCbkc06fjkj9VndgRiNbryymEGdLiRzeFLeHzZbPw2mvq2KEhSKdlbvj9+EypFY6NoR29Ih5BLpsCatGSZqDXsyP2oHt/Iuhz3SpJnctBrDujlPmDumdks//7anhvVm8rLcofC6hyJFrC0Rb86aedRlUgwPBwSiZmJAIPPECt3UtPD/zyl+h2wLaNPNUnn9QNJbfHA6L2ryYgPT3UR/NaWmyYANu7vKIrmEzi2fwU0ahM3GKsdqLGVDyOL92PZcmC6s+FXF7T6ChV0wq0tEA9vZBKsSNdzYMv1bMtXolhSKRW9adtYgUsi95UgJ4eFaEYedJp6E6FKNbVi1hvrMj8+eDZ/BTs3ElvKsBDG30MjldSNa2gxXZpboZ166i541NcfLGURD5y1zz5++23U+1Jkc1KWoZgENrbqYkUtITS6XMkn3/LLbDjwn+XGd3Wxuff8RgAn7qtksItX4RslhUr4Iwz1CbR3Cwzf+dOMAz6Uj76U16iUWkrtmSJeKvbu7zkF18ksM0TToCuLuqtHbx7SZGpU2W9DE6qId92nrjTuRyhnm0sqNujO713p0IUmubJwkynCSS7aYxJZ/R0Wr7CQNaHbm3u7D6JhCb85nJu16CCofo5pVJ4ksJNHLZ9ZOwARTwS/f4dx1txAEuPc8as2bPF4I3vJx5XupOvvAL33MPMmbKnZxZdCokEC/w7CAbFOelOCqfMcTa0QVfzW4NdBgeho4MZM+Tc967xUFhykdzX3/4W/umf+PyKfuJxUbTblm1keOVnoaWF2g3f4Y474Kc/hcoPfYgtwBPNnwWWAV8j0LmFVmADcG/2UkyzXr6/Io9bFqxdK5Q6X9fzUnfbtIl/27CA7zf/EAyDHe94B69e8m9AK/BhFjz279SuWoVnxgyZwO96F+dkH9Ilu44OqTd+ZMNF8NGPinF9z3t49/hjXHutXNbTT+/m39afRuiSS4Rtd889NJ48TkuLzJV162BLhzJinZ04XW8dY/nDNV7yTadR7R9m6VLVwUKFVaOjaCeq4A9pEHGIjMs7LUGQO49E1/HSaWbNcsuHWqZMOWyOw22agjwd9ldDMIjHLkjWw+mHhesHFv0BObeSMstmFXkepCOFUXAJ9pR0c1Ao0wnOoGP5LIsyxg+b4/8/GEcybseq3b2VceDAAcbHx2TyhMMCk+zqIpsVkQn8fujpkQmk2mF7reEJohsFvBqSVDRFhcVnCrJS7QM4svKObcxmkc3X4S7FYgxOqiGZFGhxjdUrLqxhYE2ZTl/S6xIylSxPRYVSesnucdMNzc1k/DUaQwCAYeg+dzpCbG+XNGA0SuHcC3Q39alTgY4O5pndNDRAtzlPsNUNDbw7uoN77pG61ROcJ9ZvZIQFxvM0omSfFi9me5fXlWNLp2lthTPPVN7eypXitf/+91x/vXyVdeug0LqQaFRkC8NhJGqoqxPYWTzOlClM0NAEwc7MayqIwkcwKLuQamdEIsE0/xiRiJxCd14uqcWVNIuWoSgHjmFzXp8xQ66liOcv35TL6QxnqXdaNH0TULylrxdN3181R/+r42iO3tH+PnWqdA/L7N7tqnZMngyp1AT0KrNnQzCotTUjEbRij/b21S5aH80LMdw04dpr6W69hlwOVq2Ca1q78fbsQD/4f/kX+uwa6urEfzFNmRsEg3DTTVyUvY9gELpvvJdrzz8fmpp43/s+CKzk+ONhyezZtAG8+iqXXCLTbEeuFpYvp6tL7MmuXcD69SQefRTuuIOGBqkvbrv2XuY2N8PDD3PddWcC7+DZZw/B1Kn0Dw0RHxuDc8/l3uylfP3r8pVvuQVuvlmmHGedJYizGTPgtde0OAUoKsqiRQQqKjTEevp0WUda0jAScVXRbXvCHmMYQDot2RuQ+n/S4yKIFZBER0a5HKGgPOO8EdAqQtOm4Sq0KJBW1bSCBjMzadLERp4wgYAOuMbTASuo+e/sa6VpVh/5CQR1QINciqZP/uGZwE92glXDKEE5GwZaDUTP4f+fjGOhNp3X33Jq1LYZtW283imSInYeci5HeXkJrUDBhDEMHCFHJ/02Aa5t23hyw0yaVKKIUjpyObwUGBkpSQM6/3p6qNrfi2nCH/4AmXC9np0mFrUxQUJJYQUWNOdZvFgm2W86KumLnSPHb95MKLGdmnBef8cCXrAsvYkVDN8EpRCvJQr2DQ0qv67qje3tsuFkgrXiAq5ezTVL9zB/vvzaa85lvG42hebTdLcEtm5lXmSAWbNcSHLAFAWZ9nboC84T65fNEup8Smt2OhD2igr5jjtSlYKAO/542LSJqo7HmFuXJ5cT8ITTS1NzKkxTIqhwpRsZHzxIKFjUC8iyFPJQrfBQsKg3bCf9U/QHKJgBLSDgZI8nqESU6Jpi2wT8RZ0V9vslczs0pODWjkRSbpiAv4jXKE5ovfK3HqVr4WjO39EAYPl8HsbHmaq6y4+NIXnvXdJOc+dOF59CMknFIREZdtCu+Ugt6XRJ3zygP+0TJ0tNxsaYGEDbhnyskT7/XHpz1RKdJxLUdvyCr60q0NwsOJBVq1TaWU0MR0iIZ5+l8MEP8ou1RSBKT8+93HtzL4sbGhjo6WFm8gW+9CVVg96wgXQahoZ+wl133Q3XXssjwOpXXuHqtj5ef/1hzjxzO/zoR3T39PDD3Ac466zPAK9xX/Dj1PzHf1B34YVw8cW0tsKvfw0fmfJTajbdS2ur0AtOWxzguY/eJ5FjZye+Wz7FQ3f085OfTGHyZNix6OMC4rnhBigWOf2kPVx1lUSIfj/0Jz2SZWhokMnT3k4sprodbURuqkOET6U0QR+/XyhPueGJ6ky27YqVJJPSXslwhZicTiyk064uJmi6Qt4IaI85ZOZdSTIt54JOl3ooTkRcliipgKr1OoZSLXQPRdfxV4vTOYcDgNElD3DRYWoY/C8eR0vBOMND8aiL/FhGL18oMFYo8NvfPsT5559Od8JH4wknwNatnLXoamlzYldSbUqqpmj68ChyXvNijewFYJ7TPyWZZHK0EXDnhdQ0gtoNOuGEkMwH008mJ9FQTSQCnZ2c12Rz3HGNrF8PU6Ys5IwzgK7fwKpV+KZPh6uu4qGtlaTTkqGbF90DEVsKyUNzmRybKymzeJyQZRGqqwP8FAzpJTc0JPO4utSLy2apDdoU/CHyto+RE09jb0o28GuvhVByh0AXr7ySbXFRymhrk2J6V2FUpS8DhGIxqVVGqtkfV9GiIgUuXrzQ+ShZ5WecweDx87AGYUG0Hx5/BubMYWxsruYxNSyvxusUJWbMoGD4tJaxU6vvNRqxbKgaUaT4Z1+Razr5ZMYmBxgc8ui6hgOOCPhNnYP0KMM/bHk5eNDjqqrYNpheDV6ZYPCcHKa6fwXbo/vmOaOiQhXwSzh8BduRHPvbglaccTSw19FeL31Nssc7YXycdWvXAh8TZN5JJ0E8TlubBHaJBLCiVa6rT0jRgVgM0ll84TCWJUoyITXX/RGH5+XlouYgXHstteEwD575HZYvP8T73lfOL27YJuFSKgXNzfxmk5e1a2WebtwItaltcM89PDh+Ga2tcF7n16CiAu+vfsXP1nqYM+cU6upO4ZqWHSKq8MlP8mB2Pt+aD/1rDHq/8AU+9cksnVd9k/vvP8RXf1nOTT/5iQBibJv58y8R6boPn0o30NjSwjM/fwXYTjrdKA6SZcHu3TSesAM2p6RAPH06Q0Nih3bvPsTgYLlLFFXOkENt8fuBRFbmTWUlg+OV7NolgYtTjvfGuyWFPGMGtLSQa3edsf6kR/YIRRCNttS7Dvn06cIVRs3TrFgLPW/V5PXYBcJhr67pexXKzXHsNP3GNCXVqApzBUOyVhPoNCW50aI/oHrvHUaFsG3KyydKmenI0LYBlbVS68hZUiUZ2KOSVv/hI7y3gr78a6gJzt+O9lkApuNSFAqEQkXxRBctAtvWXK10Gi3Lo3PfqRQeKz9ByxHQHoxT5nE4d6aJliUjmSQSUcCWYEgHCwAOXnn/fvk1FlMqKR6P7PInnwy2rTN3IB3DB8urRfGiIiNtclSK1CWbyebb0CAoy3gcMrF5uj7JK69AZyfe7B6SSfFg29Viq05sk3Bq9mx6qSedlmK6t2ObqK2PT6K9XdX7DAO6uvC0b6M+JulcmpoYfNtCrdA0L6J6pym3sqpKvW/+fPJ1c9m/X9Brra0KveoU86NR3RzWSZeGzLzOLh46hKzamTPF0uZyVCDcHQeAOqE7t0Pq94vTcfCgW/DPWx7d3sTvF5StnkvOYnV2MdPth+cs+IoKddudP5RYzAmL+W88Ds9sHM3YHb5WPIigdXJgNxgGT2/aREuLck6WLoVwGE/XDpqbS7z8dFr3CyrYHg2CqKpS1xeNQjhMKFh0s8i5nKAb3/UuJk+GCy8s5x3vwE1Hq7YD715cYPFisRubN0O+WboQxGLwxaZfYN90E1x/PR/ffClr18IVV0haks2b4cIL4ZZbmDRJymqk09Sp65SApR/V91lC1vZ23vteteG///0sBHjb2zDNOcB8cWgbGiRi/d73wLIYPOU8yT6cfDKTJ8stWrJERSCzZ8vJjj+eYqyWadMEtFMbHpb12Nam58KhQ2JEYrESmbUTTtCbxsiIO1c00ETBGJ2MhXMuJ3jS6eRslmhUoTpVVsJBXJqmAooY0tfOMFQA5fG4RqmEUOy8B8RQFvBOiNbAzTjqaDES0UbYoUoAExAp2u7xFy9pHeMJH14y/uENHhxdzf1I/95qve5IxXr9PtuGYpGi4aVYnCxIss5OWLmS9evFqMz192kuWCCnNuuWFp57xecoKQnMN5GQWdPcrB08h6Ps9yNWxjDI180llZL3ODw9by4jE6etjW3xSkxTyNOnn7RHIy5ZsoTionMAqM3tYEFEFFDWrhWhh3QayT+uWQPJJAO5AL1paY4Kghp1vm9rq1pIjtTB6Ci0ttKbFc3Ej1xbpKVFUjWPpBXx/Z//mfoHPo9ty1q/t2cBBIOY6SRnnqmAWPG4aronYJLNm2HY9ukamF6MXV2wcSNVM4q8+CJsT1VDOIwv3U9Tk2wEPT3IBqH4QnR0UB8ZBmTvcbon+KzMBG6SNi5qkUybVlInoaQxq9oECngZG3P1Mh3yawkViWFLINgTCupOhJxO48lmdA3DMa5HKr47vDwvf/+U5rGoOkd6D8CctzfC+Dirvv51Egllf9auhYYGHklI5H3VVQiaKxgkd7BcR634/RCJUFGBSPEpVWYHut7QoO7ZddeRP/sCliyRAGv+fNiSbpQanjNSKfx+mX8PPwy+2z5PcVIZo6NQdvm5GG+8wfYvfIE7vlvGsmVw883fZ9asB+H660l897t0T5/OwroBRkdhoO0yPL/6FQ+e/k2+9KU9zJx5Eo9EPsJDH/wguUSCyzZczc03/5tIgH3hC9wL8NOfYll7gLh8H79fDPIFFwiP8ve/kLVmmmzaJOpgTicCnXr4wx/wdG4nHhewT28q4KoH7dpF1SERS586VZUHrBoykUY0DLmzU2tO61ZNpqkFJFIpZaS0erX2l+WZBkNuGUZNSJXBlFR1KgU7d+Kx8qRUwArgeHm67GFZGqk5bZoYSttW4BSFpPZYbq3u4EE1n5T4woQWXE4oqTbGCYGCbetauLPmHIHtI8Ga/1cYPJjofR5t8R5+3NHGkfhHE87h8VAVDnP++e8Byt1OvH6/jiSwbR2VAVJTUthaR4NOc0WmTtUcq4BZ0FHghK4HuPut46lpHbPDXX8nUV8oUPQHhCoRDLkyPYgBa2pSE92hFhiGnoDptEwe23YXhNcalk3JCUGjUTKW24GAXE6Tf/VGdeqpcPrpJJOy0IJB9f1GR6mamheFFID58ym2LnBoWAQsMeqOOoyubNu27irg96ubEok41Dv53PZ2SRE51+X3M2mSHF9ervqvKZcyGFRUjpLaJEWpmU2dOrGTQanHaNtMFOZlYmrGkcjS3mgpJNMJ+RWIKJeb4Bi7aR91Xt0l+u8U4v21gK3DRyQSgfFxKioq3GtQPzjX5vej3fli8TDUXyqFaQo6WdefzRJaihIu37hRHJaAtYdzWoZZ2CrQe5qbYflyei0BXV15pWqK0NKCOXs2ra1w1lnTAKgFPOefr/TNDwJhWLeOLkTLnaoqOjsViCISYXAQoEIEsFMpfEgdSNb1HCmNNzRIhHfLLcAgMJ8bb0Qsc0+PTJSmJorLLoNly6SvHzI1lyyBhcEdkoONRmHFCrrNeYo6gThrmzbJedQCcugspX2F9U32+wkGZX+ZABhRWSnTVNxP5bh5KLr00FLEozNx1d+cbAS2DVOnUjR9rn9YLB4RsOL8XvpnvZcq/rH6kcmT1WvqYC3IUAp0UefVbAoVxR2+fjx2wV1U/1t4eKXGzfn/0ciyzngzqPWRIsGjRYRTTBMoF68H9A1W3Tz0BqdTVCWFmvLyiZuCMxFL01naObFtGB3VUYNOUVDyuSpnnkyW8HOUFfJQdA2nspgOYGYCORomaPHp+gEumVrP/BLIaC4nRsk5v3OqujqE3xYMwrnn0tEhWZclS5DFO3kyGcs3EYSDi+sgldJYn64uNF/PuVYVGADQn/Jqrp+Oiv/4RzF6pkkm62HvXvnK+/e7BW+vncdnZVyHRe0eh4xJDKQ8miNUHSmKPmRJbcK5T1q1wpbO6I7u6YEDcrqxsZJnXQKXxjA0MrdkGkyoTQATN48jeKx/r/FWqD7gGH6Z284UcRB/5HLu7yBegPrFueUOPNPpM+jAhF96Sc7tifcKF0EBSG65BbbFKyWj8uST8pxTKfJGgK1bZYrU1SkuqN8PS5fS0aGizptvphdg5Uq+9a1XgC7Kyt4J//zP9CAsut9vLSeVgnlmNzz9tHIARTyc226jBZEMu+MOqKh4P4sWARUVnAbSX49HqKiYSXX7Q3DnndiPP66BOL/8JXxnXTXr18u1n3yyZD1YvVrSqqqL7Pr1EqVms0hE+N3vihN33HFs7/Hx6quusYtEVFpTSQ4SiUxI3/tsyW44IZyWvcvl4NAhhnMeNwWqPRDcyajqaRMcGQVs0Y7u2Jj+pfSYvC2tjkZG5Ny660rJHEil0E1r9S+gux+UGjsnE+OxRLij1KCWGr0J66x4WLBy1Fn9DzYON3CHpyGPlaY5mhEsPfbwUTh0iIqKCinIOhFPLEZFhWqHEo9DQ4NLcm5vh3icAweEm5JOK8+9xNWdNAmhKBhuHQjbhmhUK/H77GEwTbJZFXWovP2sWaoFjz9Dv1HLQ9lzsELVsHkzc9NP4UkNiEtpWbrPXDIJ3XGvhHoKfVUTLWqEvm1LTlwHkX4/3Qkfz73kxVHsrUk9z+XnD1NDP8VwJXfcIXWRbBbJyTz8ML0JL/ffLwvPt+4+hRkXu9fTI7JThdaF5HIwN5rB+8ufSmNOS4itGlWmFvQrrygQSboPNm2iJiKiw4mEAgZGoxJRV1RoSodpyp+dqHYg5aE74RPeoqJ+OOz18tG8TqX+8Y/Q3ePRDTbp6cEb79bg0nhczpXH5Qg5neWjUUk97dtXEr2URGkeKz9BZnNChKfCm2FLAVW0hfj7jjdLYR5uCGVPlI2nYvJkTFO19QGIRDS/OeAv6r52RQfbY6IfTMFWcnjKqXD8w3y0XqxXZycfqXuKxYvhwx+Gz29aKGGBWle+dfdxzcUZRkbgpptUhLZ6NTQ1ceaZcTZvhk33389vQG3+64A0b3sbFNUma1ZUsGsXQivI5eAnP2HpUpgzp5xzzwUsi/BnPkP1r35FZydcf70YLPuFF9iCRJaQZmzscXbUXQpf/SrG+94HL7wAS5Zwefp7LF0qtm31ajFqnZ3IpDQMzadzJGEBsdTz52sYopbrokS03eF0qM7DpdFz3gjQl1Jpxp07qaqQNLpjzExTjEsqBcRijIyUaPYqjTGn3Z1GUiritwZeTpokXnwu57YYs21tdzT4xKnXqBDVoUDobJazxtW1KbaLzm5oIzcB5fIXAeXE4Xx5Nf5hDd7hkdnh42hAlCP9/c1AKkfydss9HsbHDwvh1aioQHsYuRxSD1PhSizmcpATCWTxjY3hsfKSMshm8diFid5KMKhLck6fjgm90RSZ1GcUIB6nJjjM2Jh03ykuOkd25U2bGMj62JEM4e3azrv9W6irk1LLI/FGWXRdXdDejjfVr5sJPPeSpDU9XTugs5NgUAx2b1YJMEejUoxYswZP+zayWXj8cQWJNk2yiYT0J2OMu++2pBK/ezc89xwLgt0AWoUiHleQ/BkzRHUhKWr1ra3IqlBCiX/8o4r6HDb+Aw9w4YVyK157DZcEp6yOwy100rVeo0h1pMj06XLaAbvS5eGp2kbIX9AZzJERpZqiABXkcni6duhGo6mUHJO3PAzbPoYtr8yr9B58uT1aAzNvhlwSesnqDAalNRmIcSytnzip0cPf8397HCviK1fQ70NqcxkdRVM8HMpFb9wjDyGdJjj1kMuzCofJmyG5NCektm39vJJJBLDR1ATr1vFvK6VZ6pe+dIgfxs+Rcz78sHhOXV38y7/In+65B3HK2tuB13jhhYfxO1/4gQcAqVFPngyeSy7hNMAaG+Pkk+Vqt9mnQTBIaMN9nHmmegbOLh8OMzYmEciGDWD8x39QBObeeB5lZd8CLG6/HQorPiKEu//4DyGxX389tTdfRksLDA3t4fXXD8k6XrYMPvEJmVsdHSxsLXDxxUpWz++XdbZoESDALKcbi9PdRGd53nhDp4cdUSNNQ4hE5MEogWnHy/KmB5gyReZwJivPOJdDPkTJq0Qi7rR1jJayrRgG0lXcyaE6KgqHc/xM6ZYwbPtcUl9Jl5F0uqTLuW1rMNcE9E1J3lKXGGx7QpeFbLaEr5rLQWFi3fsf1uAdLVV5pN+P9J6jHXckD/eIBnF8nPHxcVmoTu4vmdQqG8RiYNt6I3PaydTGirozz9AQasYcAsv6ixJNLofmy2jOl6rblQD4AHGytLp+Lsfs2drGSmHLtqk2lPyVkm8qL8cVYXWq1vv2QTBINitf2TkPsRjEYpimBE9acT0SkTrdrFmwbx9XXCE82o4O4Ec/Ijh7NtxzD7fdNp2ZM00efNgLH/sYjrVpapK1fM4i4bZ1dEBv7DyBsGWzLF+uFr5zD3M5YjGxmT9b58WB5TXmnmfZMvUoSkSdnZqHYZQU55U4ttOxwLJwMd5+v6RB0mkNkK2oUAV7J4+q7pUnvWcCv7XUHhXsEuRayeKfUItTqWvDkMK+420X/CHtFelajOMd/x3GkdbSkX4/mnPopDQLeVGC0ddp20QiEvHt24fbPmp0VBqMgm6EOzKCi/ZR3CrLkvmbt73ua88+K5QbhiV7MmuWRteSShEwC0ybptZWJCLRFe8E9tCq0Jx0dTFt2qeBf5U1dOONzFPXMmMGQE7OHQ7D1q28732q/O7k0EdG+OMfBfS1eTOQTtMHZJ98UkV5XjZtEkeOhgbx2BoayAM8+SRXXzzM/PmVQJY1a+C5XdWihgA6ylPNDuQ7OOkC21bfr6QDub7haEcpEtH8fUGQgwtSUU6U3jwMg0OHXFteUYG7p5XQEiYAHg1D168NQ2UNHVh5SbjlMwp6fRRsjwvOdM5tWXhzGX2MjvIoKQk60VxJXdup4ZfWDZ3l4fiKujB5WA3vsC32H2ccnqo8koE6WjrzSD87xzk1wGON8bExdg8NseC4mbIROjH5rl3Y9ly2boXzbmmGri4uvHCe1Ine9jY46SQyWY/OgM6ZA3QkpYAbDDEyBD719N1CsuTWAv4i8bgHf10lgewANVFR1tfoLiRfHmtoxJMbZl7dMN6yMWqjBYqxhXja2ijiES/Xltkxw5L06wknIN/f0aH0+0nHZU7WRJXyghXAjAQI2QVOP1XdCDPo8nLmzxfPfLqA0gAxPCtXQlUV7ztDvOmpU4Hzl8GWLWDbBOwMxWCITNajjWxtJC+dyoNBrTUZiVQSaGkBw6A5LPvA3KYitBsCWKCeVE+JmO3IiC7km7FabdiksUM1Jb6DcIdSKrpQUQjhMH7QURyIWrsZ9AkHTz0gf87N1jg8vKIhnCXbCGCEA9qo+exhSGcnFOBtG83Fm6CgoTYEj13AtgXt6ff//ZRWjrVmSl8//GeATCYD4+OEKis1rQbbhp4eGhpEcHvzZjj9Q1G36Vs6jW3X4DWKWJb0YqyYXU3ISsILL+A94wwgpDdD2tq0buw/t8CVV05ThvUqmcDTpwv3zzD4xCdESuw3DZ/i3ZfkGF/1O7ZM/WcIn8WtGzZQvPGzrNkABw+eL/NldgP+3/4WcjkqK2Ht2mlcfkY/JKJw5ZVs3CCtiZqbK7n0ySfZ86Uvcc0f/sCHx+t49NECPLeCuXfeSbChQT2/U/jEJ+Dd44/Btzrhqqvou/H71K5aJWjo++9n7dqP8tGPijc8YwaCUjZNeNe7GJy1gJ4HVUbC6VmpjJ7DHHLwZ9oZOvNMOVFdHU1Z9zW/X83hzoRQfU48jcFBqDKzLgdKDR95fCaMTfFRwCvr2jAo4HUPU8ZHaCOCpK3wHHKdX8dxVoV/R8Ddaw0T8pvkTS9Fw4tHhXYFvJjI1iPC8VkIhxkZEYNuhL14DSZ49z7y+IKmzn45l+HgDoTKou6LdyJ39R/W4B0+jmSo3oyfd7TjDzeih597//79FMbGeOaZ37NoUYNMHL8fZsxwU4/ZLOzeja+5CGZQFmMsRjopDzcWU40y1a7r1GunTfPhzQ1z/PEBSY3G05BKUbA9WsZrXkNQQBJOESkcZlR1Ng6HIeBUk4tF+lNeRXfwiIJ6qh+nv09tWxvZrGw2drSWmpaoJqjW1dXqOqFhKCWVhKRTB6jWepvzontkNxsbg/e/n82/lIm6dCmwcTMEg2TOv4I7bpXI8N0te+C2O6C2Furr6U2HSHTIdR13HJw+vwjrN8pkvvhinn1Y1nEgNyDX2txMNlvC0Wlupj/tI5eWSLEmOAxd6kY1NTFANbm4nFtHs8g+smuXfNcFrUhONZkUI33iiezo8erPicWUMcvlIG3p1VU0hJrgOLZ5ywN4wXZFW0ZGxMh70wMTVOML0Vricfk1HEY3eJUaiISkxUh1KaDz7z6OtIbezGkEGFSopSIBDKOk60EsptNusRhu5/eyMjBNwiYqs+Fz4flKvbsYDLF6tVz3vbftEemUt70N3/vfz4gSNj94EJgtKTDOOosvrw6QzYooyeWD34GNMl8GWy6g61dgNDey4MYG3d7KNAU4wg03Sm7yE58gUaznq1+FwRU1fPzmmxkO1xLpEHzM6ctPoj2RoPUb36DszJnA4/zoRx/EOv0EmoF7P/Mqd314D489FuXdKyrJDQ3h/8lPmHdxDS+91M7Kla3c+cf1ZJ55htrfziYWO4+KCqj17xGvoKWF56ou4pOXyG16YnUvvON0Mehr1jCQ9tK3WV5zWv4YBhSa5uGtG5Y8fzqNZQtPd26DdE3JZD2EWloo2B72J9Tz6UrBlCkidJ90jGKXSBUO+ti/H+pVtshJj8ZiyBqxbe24RyJAYcw1LI5ljEQYSHlcZHkyC4aBLxgEW6K2gu3RDe/r6oBkSqc+Dx2Sc3tyw7oFkM9v6OxMMVKNZXuxcq6xC4cVf1ClUDGMv1Ba+YdNaf5XxrGoBnDsFkOlI1BZCWVlJHe9Qiazix12o8yG9etpa1Mwdn8lTJ3KQMrDji7hl/D009SHpWgcj8PgeKVO0zmOkWUB6TRVM4qSGlVKxd6UKMKvXq1y1Hff7fbSikaJx8XuvPoq6F425eUTkGveDkUGz+UgEmHLVg/r18vGXxMclnqHYml7KOo6uNcQDbt8pFYMSE54wPPC/ZIymjIFzjhDwB2U5PsV92FsTMpvZ52FLBgHNx2N4veLMbIsQVAODnnQzf82buTyczO8/e2QMasZXnQR25I1tLeroHbTJli9mprU8wSD4ghv6QxI89s5c3Qat97sp2p/L15b2vysXy9lR6dPHhs2uJpj0Sh7s+W8+qrrx/j9uKARh3iu4NpOwT+VcqM4n5XRqZXR0RIgipNbVUg6cKNMr1EUY6eQokV/oNT5duHW/41xtMzFsTIbR1ozh6+Rvj//GTwell18DlVVSjy6rQ127WJB3R5aWwVokYnOFeGCQAC6uggkuwXqbxY10g6AujrWrpU6cFMTYuzWrIFslgwhfvc7+YwDB9B80x2JAMGgoDirN/xQJu6iRdDUxObNcOutCtB06600ZreRSMj0CaT76P/xj+keGoL3vY/f/GY3L730DVlHV1xBYPFpfGpZv3BbIxFaW1v5fPZTwF3AfK5JfpG1gGma0qWc12huhtTQEDbA8uW89FI3cIDzz4fCM8+QBRgaYupU4bD3ZtU+YFmMjroUWnp6sJwGdapu79TundqcbUv0pBHMJQjIwX1eMlmPzkJ5cxkXUKT5CWr+2Xnw+xkcrySZVMCjeBwsS4tkaL5gQ4NGRMdiaLAM4bDw8FQ6ZcIzdWCU6vvlLY9uuxkMKnUh5dV57bwjDUrBDJDJKi6rA2lWx/nMok59a8Q0TEQ0H4bS/F8T4R1eh3irx/41xzh0hbKyMskNj48TDh8nG1okAscf7+xnEhHhpqyYGdZPZcoUeThS+jAmqB78hSfviA5bFq2tbhbCpzqFk04rZNcCkkl1zmAQmpo4UKjQKQWfUZjIM1D1lbo6mfcDuQDVdXXiJVoWRSSyq5pWgGQKTzhMNutz1oAASf6oCgTTpoFta9F0v18pMqgVsflROWxBtB9Wr5XVVFvLbzb7tLd66qkulJpDYUmR1tXRl/BQG8yIlQqHIXwRzzwj9+FfL27RRGXTlPPUB/dARw9Eo/RRy9DrIqJSE81DNktjnYHf72X3brlun1l08z4Kxmk/08vMmSq9GitOiMwypvTjCwbBZ+WpjZkTGlkaylCNDIlzGQ6XCAQ41s00J5Qm9HO0LAFx2F5s6y/AaH/XcSxj+GbHeTwe8HiwbZuZM9UfHaFT09S31sE0jNrluvu2E0bbdoh4HOY1NcFLL7F0qRi8sTFccvnZZxPyF/jA4iyFYKXUe60ajju9htTLYt8CuQH5YedO6QUVjfLr+GkMDSW5fH4BPnYXWxZ/kX/+5z9z1lknQse1PAS8G3gqWQ/0Aq2ceirQdKVMTL8f7rgDu70d4/3vV89sEdOmNcKsWSwAuOoqrI0AUcJhGAayQPCuuzjhhI+za9dr3H47XPS5zxH9ylcgkWD5cnG46uuKkAhCXR09m0qESMJhikAhlcLb08PkyfVYltihVErWYD294nQ6IXJdHcmtso6mTZNbnExCVZMfurqoqjPpT/sIRaO6RVkwGND5z4qKElF0VTesmlbg0CFJa/p0kUz4t9EokiZRXKdczktIIb51tQUmiktns5jhyolMm9IFYRg6u+LJZggpCb+CP4RXheYeipDN4jUMgsGAq01synmKhgDHDl9A/7AR3rHSlUdm2705DeFY3D3nZ0DzOwLB4/F6AzTmnod4nPyHPsoDD0jvS771LRgZoatLFZdtG2IxipFqJk8WQxMyhnEKV05x2fF08pZ02HboDf2mNJO9ZnkeX7KXXruW54ZqXZV0Oy8ambGMeFyxGEND8vZcjgneFZYF6TTRqFuHTyQkinJ2Jk9uWF5zIpt0muqI3Jd4XIFSWlsl3RKPS8uflx6jpwf+/d9hy1aPoOfuuoupU8VBfypeIyvxd7+DeJyGBvkqjrZtIqHqXE8/DTt3MpDyiOqKERKUytatxGLSLaanBxeVs3u3Pk/GqNQ0g2hUvl5NtKjTaU6K15E00mgvx2VWSEEH6S1pSjQszmEwpFIuGizgL1I1o6gjlZEROb9C4U/0ZNQmX8pQsCwmgATgMF6eM/6bKM0349a9lezGkY5recc74NAhfvHQRhIJBShcvx5aWvj+AyJ8cF7zHgKdWwA1Hx3Eq9poDUNS3uRyMGMGhiFB4sknI87PjTcyEFsgz3vVKry//CnBoIBhXnxRmC6bNqn3b9zotsyJx/n5z8eAeyGR4IGhIRaGu4GHeeaZ78PNN5MFHgLOMbYAU4A9Aka57jrJFnR0wG23iQt7882CAKVBeOaPPSbte6JRdu36M7CFzZsFA2oCdHZyzz1wwgmXyOO9+Wa83/42XHUVxx8PH2jtk3ulCKhOpmfDBugNL8AGtgHcdRe2LX/fvLlElCKXE2iyqncMZH1ascmbHtAAuf6kR3scfj9uETCbJRxWQvF+v56Go6NMoAnozKAKpxy7l06rF5XHp+e7Cu0sS6XpnS+seDge3J6POgp0vHnDcHUXlPU/eFBRuUzfxAhO1ROdLNHgPi95Wxk722acssPm8z/o+GsVVI6FxjwWOf1I5y2rqKC8vJyWllaJmFXBxnmA+/cjk2l0lOnTS/hGwaCOyDXkVnk9JYAjjd7TtAQFvXWaIBZi9cTj4sHR06NZqLatoO+nngrBoNPYHMOA/mxAQiCHYJZI4COvgRy5nPKmnS+SSgnYxpElUpZxwr5s227bhxNPhGnTOP54iah270Y2Kr9fd1SwLEQEU4W9CplMKuWC0cjlxFudPNnJnsgCPflkWLyYeNz9SvT0qNzwILYte2FnJxSb50E0ije7Rzqzt7fr/KRDZN+9WxFzc3tcFq/yHh2e2ARqSImx0chO0NFywfZoxKGDdHNAAzqV6dw8wxXo1QR/lcosGD59uNco6inyVrIS/91xNIfwzVDLHo8HysrweIpMmqRuVTAIY2MEg4pfWoIyndBhRM0321abrOqlZtvynF59Fc1PqE4LNYawZAA6O8X5iUQErOn34yJjBwcl1R4Oc+qpFUCAJ+xzOA/g6ac54YQbAOl5V4OQzgUOXACmKOBDDl9K5k96bEyE3fx+9u17DVgj7IZ0mg6g8IUvMHv2iYDFSy+B94QTiEydCitXsm6dzNfbb0daY3V2MmDU8O1vqzZEoOlGY2PyNVasgPpYgcCMGYIgXb6c0VFZwkuXCjg5EkH+09wsNYZgUNeynP3FkxsmFlPPIBqlGK2R1xzlhGBwQhNWZ85N8K0Mg9HRkv1B/U+LQns84tVns+4ziEQ4eLCkLqsWTMH2SHlEOZIT1ohag3nL4y45tQAcvdrSxtjOm/OWh0OHxO6qLK0M26as+L+Eh3csisHRPNW/xsA5/452vvpoFNs+INJDDQ3SJ27dL7BtCWyYMwcSCUFAgiZceq1hvBQYGoKM5Tb8NE2VClfGxtnAncUeChZJJqVtitOWJxxGHvqUKRTMgNOBSD6rpwdz/+CEKKo/7ZuYW4rHqapyPbW9e9V7k0nZbWybgVyA7riXgbQXcjnmxTIsXiyTry8dcDlSAE8/zSWXyCX84AdI89TOTmo23Utbm/LAP/QhWaR79zrMjVIVLRd1unEjvg2/IJ0WQu9vzEthbIyFu37K7bcr49jUJAu9qkqXLXt6wJPok5By7VpZbK2tZGLz6O7xOFlDh2WhJeF0yGUYujvChBSzwk17E72adN7VJY5EJufFaxTxpgfwpvp1WxQn/TRguzUaRw7Haw1TXq6DbRHMValOnRK2pAeYbf+ltNnfehxu0I5Vtyv92bahqqoKDh0ivetPvPGGquFls/DrX7NokeAxfrPZBw0Noq3oH5PJXSKCqNNfDQ1aid+y1Aa2dauEcJZFb/NlUqgLBlm0CC5qGWCe2c20aeLX7MjWoBXcATZulEiMQ1x5JVRGIvRffz0bNgBs5OQPL+BiYABg1izq6o533ib0EIArryT8mc/IVV9wAR/72NsQw7YZ3vMeUkA7zuN5gh/8ABENGBmBDRtoaSlpp6iQhYq6KjTBeFxgoHfeyVlnyXWvWQMfv9ELy5eTAbjjDmbPdjUiEgkJDLuz1a4oQiJBKLFdaogphREwDI47TtVQ7QAeioKGdCIuw6C8XNUBbZvBIY+uRzt1QQdcsnev+v6JBDVh4Q3rlkHqWR48iOaTVE0VAQct8RcM4rXzeHLDE4yqZZW0HkulxAlVH++sm4BfDHHRKKGolESRIDZXi/k4C0tLYanL5R90HC0982ZR3lt5z5vVAAEqysowjHFGR4WUHMpmobOTqqrL+NOfkEWXSLg90RywRolHcugQ2qA5c9YJHzTlSnG/BlIyEU85BTEisRjg1zDCri5ZN9Eo2lvEJ3p3ra2IqkE2C5YNbW0UY7W0t8ucWb4cqo09atGkBeI9fz692UqNHq2qgupTTelMbtvUBIPgj9KbqMT2n0bjdTHIZunqkrm9bBn4Vn9NWOiLFrFpg5Qali3zsaCtDfx+AnaGpUtDRCJKONg0hYbR0AANDeywG9l0j6TI3m0+Bau+Ae98J7t2iaPf1BSidv58aG4msVY2lfe+F/jeGlktK1YwEJlHugudvh0ZkVus2/Bks7IolAXMGwGmTpVfp09Xhqc0/xiNMrLP7XWn15PDerVtitEadr4ioAqN1E6mXE9XhX+KfqkXv2F49O+lVXhDdUJ/K/PyvzrerFZ3LNqCqQzxoULBTXPt2wd/+hPhsACE/H549xKTUKqPgd3SXWGYAEY0gM/KUGv3CpCqsxLDPAerXTb3j68swNLb5Hleey1r18KkSR5OPbUSw4DqmAXt7XzkyhhtbT6FNjTl4Z1/PixezHvP3AcM09kJ3z8+RSXgSwL8mp6ekwidcALGrl0QDCoVk3KuvRa8Kz4ga+n66yne9jXMW7/GbzZD+61wxhlfZdsDfeyYdTZhYOEPfsAr/3wTUGD5cuj7ygtkgXmIY5TNKrrNq6/Cuefy8suwe/cBDGOKXJtK5XZ0yK9NTYI25Z2P4gNYupTdu+VcDuWtuRkaw3tgU5crVFtXx9YN8nmnnALkcsyYIShYnz0MtknGcmt4pNNMDdeAKRvOaLYk6pKH6yQfhFO8PydyfZbPkTh1gSG5HFURv6C5ERpPMgmm6cHnAL7CYfJGgFRS47cwTQWaUXSfYrgSyzm38jwLtkciPKcTgvMFTVNQmbiZM10GcIiFE+bxP+g40oJ8q2CUN0NrvpXz7j94kIqKqZSVQYgM9tgY1NXxxz+qfHdXF6RS2tHQu5pKX4KrQIDf7zh+GrzgbBzFYEh3hA4GoWq/6mhu2wxYIWhuphir1biKhgakYK/Cfl92gJC/wHDOQ286xJZ4NX3U4rELLGga5rzmPZIqSialGWfzAgZbLmB7spJczu1McvrsjGCzd+0SUd3j5/Gbjkra25VBV/jzcFgisovMJ8QzX7WKj2y6jPvvjzN/PizouRe+8AXIZFR6SLyyvBGgP+WlL+FhINjIDruReFwW/Ud6PkXhne+EYJDvTP13Wlv38POfqw1k0yZ44QWWLYMvfQmq/rRNdJlWr+a5KeeQTsvmETKGNTDNyQJpfPq555JpPofhcC0+e5hpxb002juoOjRAEQ8DdiU7crXsyNUykPZSNTVPdXoHocR2qiaLtzpseRmONtIfnMsLL8g6a22FxuAA3s7n3Yhm0SIysXkMjvg00KY2ksdnFicIAuucjm1LtwQKE1Cb/5VxtLl+NMTyWx379u0D4LiZM3UE7dxbibplXrB1q2z4Xq9W7vfl9oj3EonwVEdAbZD6VokqyiuvwKJF3NfRyKZNkjI/5RT1DJ2FYRg0NhTxPP4Y5HIU3ncF3HILv8kuAHYzf/5/Eji+DAtY9tWvcsEFu4FmPvOZVgZ27aIB4NvfJpuFqVPfyeeX90ot+ZZb+HLPpaxeDb74Dt5tPcStt7rlBROYCzwR+wggykFfbriP+wAbKN76RdatU/ckkZB0/aJFkgUiyaJFMHznnaSfeQaCQe68E1544TUxkF2PkEgkCAPccgv79jFBdsw01fWX5PKGCbB5s3zUjBnyHDzxXknN5nJ0x72iUpTLaSc8kVAZhFxOg9xCwaKGUKZSskanTkUDqxw6ZV0dovCSSIBhuHKHDUL/sG3ks3t6tJOjcGY6w68TFwrk5vBxqw3Rr82bIX2uCUKhak91MjJjYyUlF2cS/W/R0nyrC/JY/KHDjzsaT+8vPsu2+XMqhW17ZRLE4xhqImezilD+6qtgukLN2uCVwIYBnc8bG8PV5VTeSywmah5Eo3R2KsPp5C1V9Nif9LBxo+4+hKd9G1rAcOpUCuFqMAwCdkZn1RIJKe4CMumlEyXYNqmUgADU/KQ6XCBkK+FkHZZKnVK1w5PMws6domvpF+UE/H6JJN9/Bc88AzCFiy8G1q0TqLVpMmx5OXDABaE46DOQiPLMM6E28RQ8/DDeigpYtYpPfGI38AfOPx/pMnvXXTA4SCqlZMWam6G5mWECTJ4s5/FkM5IqsYd1qjGZRFZrLEbR8BIKFglk+8VRUTjsQriaF16Qazx4UDXAtfoExKCISd3JAK++qrQ9zYLmWIbDJYoVTso0EiFvezFNqKrIELIG8NgFBrI+tnd62LWrpK4Yj7ti1XgZ3Od1VTP+i+Noa+bNlIaOdhw42SWZ02XlIn4Yi4GtSFpdXQAHpd4Uj0tezIGvgg5xBw+K1NeSJfJYOjqUAlhdHblUCtavZ9kydGr8qquEooNhSLpz1Sp5w969FNsWsnGjAKc2bgSoYvlyMU51AD09fOYzM4HLWb8eqr/9bdqmTgXbprFRtBLYulV2+Lo6/H6ZR4NVc+lukF56dXVAays/QzjOS5aU3Ki1awFpEuTZ9ARtbTIXdtiNcNtt/MY6h9degwsvfBu1K89jI+AD7k2ex8aNPwEeZ9kyGH7Pe9gGeGbP5pFNIrQ+NKTpdlJJ2LxZFmxXF0ybxurVcPfdhwQs0vG83KwNG+DVVxmgmjVrlH6nk5NPJFxMgWnqBETB9uiMlGEI+EsiRBvCYc2CME1geFhHqdksZAgJSAaHX6fCOeW4g7ssHL5qwfBpWbFQsKiVeBwup2GodaGIe5msh0zOq7vMqO1Oz0unnv6/JqV5+DiS4sqRfj/aeCtoND0Mg0mmid/vc0P/lhaIxWhoUJM/fgDa2ojH1cRMpLR0lZUr4bUo1uSBAyVadcEgY2PKi9zaoyS9amSyLF6sN09v13Zqdu+m5uyzGRnxkUhAw5IFhJqa5Lx9fZKbV6ipgB9OOSWkJYl6UwHM8DxqGhpkM+rpoRaobWtie1y6EfclvUAlwXAloWZTT956/wA3fSxIX0pAFoX3XSFZrB7lgSrYpccuMHu2l2nTZgqVoasVs6kJmprI5eTYQLYfgkH6s+L97dolRtA04bxIeIKMwtSpMxkZWST4gq0RuPJKiiuuoWetigi2boWxMQJnh6mqkp56WCYD/nraN8k6b22FmuQ2WN8B0SieJUvYEfeRTtcQidTApBelXrf5CU4Ph2FJMzu6PLS3g99fS0NTLaFcPyQSNPrTcFIQgkEG0l6dnYpGFTo0kXaBPeEwtulkdkL4/CKGWx0xME2PzngWY5Uy85SD5LUsqqYFOXTov9fx3KlJ/zXjrTiMkyZNAo+H0dFRLcdmqAaKpgnz50+T55WIikOya5dCCVdDyoZolP375X0hMpBK09ZWTyoFW1jIwgcfhM2b8T38U768fA7U1fGpW3xs3AjvetdcTr/1Vpnjjz8OL7+Mp6mJqqp5nHqq2NUHHphORwcYl1zC0ocfZtu197JxJfz+9yex8JaF5D7xDP7nniO05DQuvvglrr0WuGsztLRQjNbQ0gILWotS845FWbzYJyjOri5uqaoih9TT3vOe+cAyOPNhrnn8cWrOPRfa2lickGU9ty4Pd23m3RcHWbFChAeKm5/gsosvAtPkmtZuhm77IN/+tiyzwOrVLLn+emhr00Z3yRK51J4eBfC+9iN4liwR7zOVEmNNuUS/dXVwyy1ScknuoLrnKW644RwxeE6Dy2gUsm4avTriB6Ws4lV9Jf2UIIlBye6FhNcIAg6aNUv2t6xEhyG/zaRJXnmLMpyDIz6H3SN0INuWMBivylz6xLBRdCNQ28YwqiXb1VCJp4TWY5qqLDFV1oVty3x1MiGG6f3fk9I8fLwZmfyYBuwIxx9+7tJhWRajo6P86lf3Mj4+7mowKv1FQCaBIidPaM8DOm2g9RltmylTSuDaiLeiJ1kqRVOTvJS3PNDcTHeuRvKXr70GTz/NySeXKC+YATJGJeNThMCcx6e/X9X+XqrTO6iaIZ3at26FHXGfC6Nsb4eODsJhtNakJpA67QYc1EZnJ7V2r9QRgMceg/vvV8Xmzk4NfBkbk+ut9isaRlMTwxXTicfVGlKifzXRouYAOSIyTpW+MDICPT06MDAMNDfOYRNYFnJT9+4VztHkYQHsjfg0ydXRtgVcBd54XNPCOjthaHiSfOFUSv6gBHf37XNRpeRyEhUrK1U0vFoGzTBUvcNBvpS4sgG/S5Yt4NX5HCe144AMNST8v0lF+O+OowG9Ssf+/fsBGBjo0wwPTjgBbFtHvKYJBIMMm5WMIk0GfVZGTzDTLBFoTiRojOXZvVuJQEejctMdzcyNG1m8WG7Ra69Bn1FPJlgruU6lG3v6a/fhXfV5UinYt+8JodFYFp4ZM3QavqkJeOUVugA2b2bfvmGgj7vuQoyFZeFJDbDA3C659a1b2dLh44MfHObHP94O4TBPAT8ELmrdA7wA/AAuvFAoDK+8AsmkFmLQHTUUSldnGnI5Ofb119m/H3bv3itz/8ABIamnUlrTNZvVp5XnkxuWXwYHdbuuri63JY8eJcgwnUKMRCgGQ1IbS0sNv2h4SacVd1jNbc1ocjYDhSI/zJYAqpyj9rlDh0q0Mw1DUwV9hjh6Bbxkcm5nGGeZFPGUwJfdHz12QUcKBw+q+rqiSDhatg46+mjI5v91EV7peCs1uiOlcw7/++HnHi8vB48Hw1PENEfps2uobW6G9naamy+SDXHOHNi1i7q6uSST0Nhcp3N2VrBaq3g4k3DyZKUcoYYCLEn01dlJfXAPdp1oFfrC8t7epI/65cshkZAO600x/cSzWQG5TJkCtdGCzr0DcuJ4nLa2ep2O6095qWlt1VazJpynJiKRYTEYYmhI0qe2LfJRNXV1rhdmWdh+6Xq+YgXU57bD0qXkl17GXXfBuefCp1bm4Z410NZGYemlHHqui4VtRRyUS59VTapdFsTs2XL7fORhawdceSXeWIze2HksWgQrVkzjokXDkKjTUbTC9sCzWV17yNgBxvbJPumATBxAGVnEZZ45E8JhTFP2VS32bRiuaGEshpWQPdyRGiOn7qW63w7GxHFmpk0D0jmNytPnzOUwzYAGmZmmB59ZxGcUMMJe9u2T83gVgdZxZYuG978N0vyvgraOljVxIsbBIUlT3nLzZ7nuX54RSsrFF0MqxZIlbpuzmqYmsumSLFMJN9TZT4v+AB7VkeK663yMjUFm9gK45yFBr259Cjo6eHezTeyOy+jokKyeiP1cSk1Lv6Bkdu2CRYt4+9th7drzuOQS4JdX8LMrf8Onr2hn9uxWQqu/yM+yWamRXXkl3GQBJ0gmItIkwKl0Nf5gNbXLctDTw8LsI4z/uZmMfx7dPRB7bZwmP3zxLjj11EclDbuokiDAGWdQrKvn9pXw9NN7Offc6TxxewusWMEPGxrg9uXkwwvpu+cpESsYkTn8oQ9NFxHqNV1yHr8f00Q7AG9/uwi0ezY/BUlbJuSVV9Kf8tLRISnZhebz8MxOMudfwcaNsHTpAgLJboJB5VMrtLAnm8GyQhSilXiRlKmj10lCvMjqWIxM1sNA2ku4+TS8RpE65LvW1xXpSkyG2bMZtn1upxjA76BcS6gMgCaFW8oe+/0KtIIhogs2BEosYNhUW5dlifTZiEK3K+kZbzCIYcicLWUQef3A+Phhc/cfdPxXU5fOOFq9rvT3oxnMyZMny430eDh4UHqfkU5DNKo9L0dXykHkEgxKCiESwTSlXhcKFrU2nAOndXLn2j4pZNOwWQlAdTCvUZ2a89LQQL9Ry/ZOj+S0e3qojT/BzPEBamNFtrR7eaqnmh3JkJC4FcQ+YO3h9JOHWdA0zKRJ0J1QkZ5CYfUmRN3Ak95D1Wg/NcYAtdGCtpv5hnlsD55Dn38uPivDRa17RAtTbfC+ji0sWiRR5L982iebSmcn3ru/RzCoyLB+P7S3UxvMkMtJgOl0nB7Iqu+zdy+sXk39Cz8lFoOf/xy+syYg6bGuLt7+dvk+lsWE7vPZrHihPkN6+h1/vGyMPT0wOGuB8AR374aNGwkld2gk+759ouChSYzt7dTb3bS0yOm3boW+XKWrFpJKEbAzunVLNgsvvaSI/E7RMJWSTSaRwGdlGBuTsucrr6i2LLaN1xqmalpBdDtBp7cdgvvfi5XwZnSeNxvHH3+8gAM80jQ3FkMcmbo6p/Uhc9kBTz8t9eNB3LBPeQrHHaeUNSgKF8svzt3pc/KENj9EyMxz663wxa3nSO1240Ya7/o4V9v3smwZ/OhHQnHrztXA2WfL3Ni0iao/PMRrrymqxPXX84G1FwFRdu68Gu+qz/MB02QbsO344/n97yuBYe64A+34rVkDX/86UjyMx6VWuGoVIX9By/ZVp3ewbBm89NJuSSV+61sUgMzDD+NZcTXr1sGSJdPp7ISvPj5Xamo33wzhML6Hf0rt+m/SmHuemTNdLYUHHgBuuIGQacIrr9BINyecMKHLz19kW2rMPU6HIYYbToPJkwnZe5xGLboepznAoDmQThpw2jSddNITrohH40S86QFIpUgmxdHo7vHozFAgNyAnUYbKEWggGBRps+we3QPP4dqNjU1UG/KZ0rB6cMij9ymnzuccUzWjyKFDijYSiTCc82garY88AYYJGHmKeCSLMmE+/4OOt8K1O1Ya8834eMc6Ftumcto0zjjjnRw6FJDmqkpNOZksyST4/QSDUB8ZhnSa7h7R1bQsqJpRdCHqlsXkyW4WK2NJV2PLQnbOnTvJ5VSqsETFwDTR+bndu+VHnRsPhyVszOVobpZamd8vxqSXejEkiotHIkHVDOF79cY9EIkQMvMieYSol+TDNXLObBZfsld4fqbewzW3r4hH0kt1dfDMM8yzn6e5GX79a/jhupD8/Q9/oOyNpPDLIrVi/RMJLb6hlNTYuBEe2loprVXa2+GTn2TFCuF1rVoFvZGFUF5O1eAOWltV5KB66ZFOMzQk1zuQllrCnDlS52tuVm14mk+T8FMR8n1WhtNPLRA9fpxYTCEvY3Nls4tE8OYyNDeje3gRDMoXViSyqhlFDVY5cOAwlRUnh6Vc0MmT5fHotE8pqMkhs+NlcEgWsyc3rOXq/l6jNHI7Ggn9SKM6Ugnj43z/O9/R2CZHk3XXLtVCxzDgxRdpbRXbuKPLI86Xypc7xGIHteSAl9z8mvtrMVbrtrFobyfQuUW3RnTS1ZkzLpB699q1rFihOKCXXELq0Uf56U+jwCHGxv5FJhPwBLCw8zvAZHbufE0UVjZvZskSSdV/9eseOO44ci+8AE8+SSbn5aWXlN3o6VFp/SmMjb0C73sflajy1AsvELIGOPVUmfqJBDyx1Uc/NfLm555TZLySulxE+YxOyyqVi6+o0DbA7aWZTqM3HYWyTKfVKZuaIJWirQ3dkzGXU62T/H5ZMCoccoB1XqPoUqnU/Hb2M02XSacJh+WxJJO4nVrV52vNWSZyTJ357bHy2nkbHZXz6B52SoVo/34oBCvBtvEk+ggGVRNlVfIJh1VKU6WHneXlInAkBVo2UWjlb2vwysrKLi4rK7u7rKzswbKysneVlZXdpf59s0xGdVlZ2U/LysruKysrO1u959NlZWWry8rKflBWdvjXO/o4FvG89JhjGbVSoMvRyLZHW+iVwSAVFeVubym182ezqjmpIn97shl54JEIhiFZNB958pZHiOeq6FEyHzR8HtCJcuc1x2MJMEzIEo9qRzLEY4+p57xunUt8UlIIyaR4fU7KzbKQSek07YpGefCXHl59VdQdSCQYHPExOOTBaw27dRnVbJVUil6jkXvu0WU6+eGOO/BseoJEAvrD88T4ZLPYNuzefUg2sfJy+UL9/dTavbKJn3su3eY8Kaaj2/W5xmXKFOEiZbNMmgRjY68zNPSanO/FF2HzZhobirKoDQPe8Q4y0bns3SsRXSQCnmQ/PivDgQNiBJNJRbZ1QnJnBdoiRzRBp9a5+aqeoVD4bkpObRqOJ+z8qbwcd/GX1vMUQVcfw8TPANkAcrkSvqAm6P3PGUXEGI+Pj8P4OIaqWedy4GhBTZumDo5GIRrVt0DrNRoGHDyoU/jD/mqIRIjF4JyGAZnLJ5/MZ2/18ZWvjNHaCp4VV4tsSTwu8mVdC/nxj/fR0oLIhpmmRHSdnVi//CU19IsY8qJFRD7zGa6/HuAQ8EFF3BSUJMuWASPAFHw928GyuP562LVrHRUVkLnlFr4JbE8k6OiAu+76MzfcAANtl7EtXglYnHTSHGhr4zvA8wCf/CTVLdV85SubefbZJHPmwHk936HmhkvlGqJRWLmS58ZP44EHxFBFIlIa4K67sBx+QVsbf/qT+L9VVWLL9aJW99apZ9u2Qkeqrsr79gn4LOOvIZVSdIVkUrwylU0KBYuaZO40NHYeZklmXYZSZzl0SIlMO6rWyuF3am+GIfPbaxTdNYAgMp3UqWFIVOlJ79EblNRd1bxXGbCSZaaBKRO5oCUgQPWHYctL/jAf8W9q8MbHx9ePj49fB6wElgMV4+PjK4EUcCbwYeA2YAVwXVlZmReYNz4+fj3wCtD2t/gebzWqe7NxpON1fri8nEOHCvK7klEimSQSUZGGQiKSy+Ht2g7xOLmcpHMKhs/FItg2jIzgpTCBNOloxxEOw4ED1ESL2nsjFhNvxzBg82bmpp7g7W+HW2+F+6zLpAh2++2wYwfYNomEbPxOBBmNIrD7lR+XYvzmzVx+wjZmzIAt7V5Ipaja30siAdvjAhc3TRic3igrraOD+q6HWLTITX9kGhZQWP1DWLyYecYOah79nkzylhaSSZg5s1yQeq+9JqvxjDN4qKteTvz1r9P4+mM0N7sAmVRK1uuTTwJTp2IBxbExqqYVKCs7CThRrkORDx/Z4JHvDtDZSYiMrgd6erpFRWIsRGenpBJ371YX5UhWbN4MhsH2Hh9//rPbts2by8jG0tUFySSGIRnWzk7YkQiIRc5m4YUX8HTt0GW/dFps8WB5tdvhedcuDd92dDYdYJAGNCgCuyeb0amcTM6r9UH/lqM0oisdR3Mcj8rjMxRKbnQU21YOwaFDWnu0q0tUPkgm8fR04/HoEpK+Xh95nfUll2NoSN27bBZuvJGvtT4EDHDFFV/giSvvIzk0RO/jj8MnPsG/Nm8DJnP33XsE+t/RQTAIA8s/hfmNb0AwyE3nbqf7gx8k8/Wvs2/fXuAA8H9Ehg8kdjYMZKsagxUr2H733UqlZR+f/vTv6PnDOJ+fOpUUMPddZYz/6RC33SaPTfQ1P8rrr98Eq1dTDSSAgX/+ZwbWbeP//J9FgJePfrSdhes+Tv8dD4kc3y23YL3znZz+2y+yZInM+W99ax833QQsXswwkHnhBVi3junT5bY+95xiPjQ1yWR+/HE9r4JBWTubNyMeo2EwY4ZwPUPpXqZPV9FzLCY5frXh5C03rR4OoxvNFiPVmhvqpaBT0E5EtXcv4lirsDMYVA17IxFs2w3+NMIzmxVHE7cnrQbn2bYG+VRUCK7A0Rb0mYqqkEqpHpHqvIYxIcjVyLREgoCdObw70N8NtHIL8F1gUVlZ2R3ANKAfiAK7xsfHiyqYmw4Mqff8Wb2uR1lZ2buAd5133nmk9+7lj3/sogwpQh4uCur83RlHen2csjc9rvRchx8/ThnFIpRziOzYGLmhAerq0rz4UjeTLr4YysqYO7eL0VF46WWo8PkY2ztMharaj7+tQH+/bAi64edYVtrQd3ZyYNzH8L5DHKKcvXuF3lIwD8jBzz9Pebmfvj7ITB7FGp9EoQCBWbMgmeTtM37Dpz9dw/bt8K291Zy7YgXpF1+k67vfZfqS9xKPu93u9+2D6VMsoI/d+0wCx9cz5fUuKoPDDI5H2TY5RKC/nynlbzBYnMHjj0NlpXR1GSh6qJg/H3p7YftaTjmliUwGurshnxc+eV2dB9O2Yc8eePllTjxxBpdfLtfbVV0Nfj/pPXtIp7v42VqYe8opsmAnbWLGjAh79six06bJgmqvrMV//fVYBw5gPvUU//ZvUTIZ4bvmFSovn+8ShNrMaeICb9/OoUkRenvBXxyWL+ffg8/nx+eTlMnW5yFYWSnexb598LvfMVY9m4MH0/zpT11ks7DveCh3LiydhtFRJk2apnVABwdhZliJZ/b0wP79GMY0AgHZnF56Sa5jypQp7g165RXGQlUcPCjO0diY/HnSJCizx9wU3pQpHLBkxfp8UFYY/Yu5+hdzV62ZhQsX0vXHP06Yw0dbE0c912FrpfQcznuLRdg9sIsDY2P0/ulPzJrlZXwcut71LigWCYe7eOc7JXKpOf54eO01bN80stkuxsaga9SSMOG115g6tYLBQSj2J2HmPnb2lVPb9k+UWxaFDRv4wx/queeeCtauvZ9Pff3r7OzuZg8QfPFF7rwzwIsvQnv7HjzzZ3Ccp4tXX4VE63kkN/bTOGkXf/zQh+gDbj1xN3/+8+kA/P7yiznBsigCXY88wtvfPpkPfeh5uoxWXmxp4Yyq/3tIAAEAAElEQVTQBj70oSYgwT33/B42biN8zzd5ETjxe9+jpqmJvh/nufDCfwJOAeALj/k4/0Mf4nVgO5B58EEuWrib49e8jd//PgXczze+cSrXXXsRJJMMjI4yI5Fg7oUv8YEPVJDPZ5k2LcgrMyop+/jHGR0ZYWDXLkJzKjn55C4OHpRU4EuvQYXfLzliy4LeXjyePZx+uvzp5XIv5VOnwssvSTSXyTB+UoFMBroSebAsDr3aS3+/Wh4HBOl5oDzA0BBMGsvBwAAHyvwMD8tyNvfvg3SaQ5ML1NTIHpUOGXSdeKJY0oqXcLqMZ0ckA3bwIEwat2QDUr0Tx0PTlaqNnGPKFCjbn5ULy2QYOWCybx8MV45LuDk0JOcdG4PBQcaoYODPgn4aPlhBLifnCU5V+mKjo/DGG25DZTX+pgZPpSRvAx4fHx/frp43ZWVlXwJ6gNlAtKysbFi9ZS8ISAqoAXaUnm98fPy3wG8/+clPfTI8fTqNb286IoryaOOtRHNvlZjuHOt4OhG/n0PTQuzZEyYabaJKta95zLiKRALe/34I5fopRmvwjMhmmT+5ycki6H+BVK/MtqYmBkd8VE0W3tz+/RIFNp2oLGRtLZ50JdOnC2k5b4YkFZHyyGRuaWHHpkpGRqRbQ5P1FF0jIzRNnszACU3s3SvqFEoBjdmzoTrXS9PcmPB0Bvtgzx68rUvYsAFuuKEJzwP30bT8TL5/j5doFE6Z1u8q0+7cCQMD7GhczosvwumnSypm/XrZ6JuM38Mjj8Dcudx34Gx+/WtBOX5qqRdWraLL76d26TtZswbaVjRRM/BDKBbZcVwTfj/UprbxtvcuYOlSWSM/bDiJzKc/TciymPOen/Htb4sD+5ElosF3YHcNg4PQNKtfPN5MhsINn2XTJiibDqefIzyqprlRAgGhKVRUQPWCJkK13ZLaff11mDWLQ8eHKS9voqJC6TlWNjH3tGEpKu7cSVNrK/2zG+nsFEM1fTrMO+tEePZZsdQt9fQlvQwNybqbOhUaZ1fL69msNECtCjFYXc0f/yj3KyBZbwGsJJOyeUyeTOHkehIJrcf7psNZM1dfffUnm97+dhx92MPneun4a+T4Dj+2YHs47rgAUyoqOCkS4ffPyn1r+sPHBeF7+f/hd79TpdKy52HKFEanh7FtdVzFsFzrcccxfFC4aWcvqYRgkO0vezll5h4pALe3w113ceaZIWAv9+69hmoFqQ1t3Up918f4zW8ky3nttfLcHnxQ5vz550MgXiD04x/zPPCFvbdTNj0LvMbu3bfwmY0/ZgvQFI/zzbpV/PjHz3Dv75bzm3e+k6aXXmJ35CU2biwCtdx440waX3pJQqAbboC1a9nxla9wyVlncekzHwd+Av8fef8fHldZ5//jj0xOJqfT0+l0mDTTMIQhpGUoaQ0lQCgFC4ZukYIVylq0YsWquKJWZJV1ebvIouIuuqzWXRZZ7WqVIn1DhSoVulAhYIBYYhtLaEMZwxAm7TQdptPpdHIy+f7xuu/7TGpb6q68Pxd+7+vq1WRy5syZc+77fv16Pp8vzuCrv17O7He/m24kXdr0/PO0fPOb/Pd/L+bHP34I6OGhh5YxcO/7sf/qr8gDLfk8n7jlZyxZAjt3vkGhMI1/n36yQs0A73oXiataWLNGMr2TJ8OV03MCggmHJXXTOpPt230MDMDcuTDzXJXTSybF4Jwxk5ERHy2RAejrozC9hb4+cWibXKHJ5EKNQgPICN2oFJpqRIlmhAPQ30/uXS08+6ycsuX0UVp0c18tDm9ZDEUbSCbF4dMSYr7+HbJ3nHQSE09tErWdgHyXxlMLRqFnuGkmO3dCw4mY0o3Jg9s2JVfKLRSLDFtTTUPqeByhuyiZvyr37SWefwboACZXVVU1AyciBm332NhYT1VV1W7EILrAvWNjY6WqqqotVVVV/wrUAv/2v/nw401X/ilotKMR2g8Wi0yqnUC5rOptilMwNCT/HAfo7MFn25LCi0RQ4hPjNy5FMilZ0mW4fpKlxHQDXpFYodbSvSo335skkLDBVmLQzc1s7fMTiUgm09f1LNghWLAAmppoYJjowjBdXTKfmpuhAQW06ekh3NxMedEVIjKyTxDlrgv++fMhm6WjY6p3vU8+KYt98WIGi2F6NikZoGgZNmzgyliUUus5DE//NOEzz4TeXu64Q9bb2rXQ1jaDC5ubYd8+Grsf5Cu3LJb7vOITvPAC/K5L9dqLRgmkd3HvvU3yuclWwh/9KJx1FlOmiN3VPcPo7+fssxulkA+SKjK5FInmBtM+GhSibW6bxdA+v9ectblZVotCPATJ0XJ2mcG0kMEtS6TPAm1tpnluxBYjX1OjahuWA+edB7bN0D7hFinGg/COsq50vddwN8dhNO/JdE6eXKEab9sGDKNLd7W1b18J72hz/PDXDq97659HRyTy9KvCc2WtB7zbS7QVEgn8r+zirFklUfvZGxL90XgTbqpCLgxobVVI2FtugViMxzb7+da3/oZFi4D8AGGd21Margq1bvhtX1+5W4phzqf5xM8v49bXx1h8xhS46y7q6u5kz57beP11qaPsQJqznv+RMD/84We4f0+QL37zm3DTTexth4ULz+fRjz9I5oyrIBTil197kavOhV/9ajYX3ncf7N/P1Vcv4YEH3uCkk94PT3+NLKLs0rBhA1//3WW4m6XscNdd72f1apVanDeP5g9/WC560SIj5ZfJTJPegrp45rpQLpu6sgZ40dIix+zZYzo9O06QRAIPPR6NGn3awbRqO9aXMg9K9WKG3jzEYqRTMhcbHFtKMm6BWExqyoQiphanaTq4rtmHiEZNenVSvMGsDwOmcxx5o+Ngux73btzcj0a1tChhpyScFV2PoUJFBQxoxQBtwEuPuq6JNs3hfzTD/xdjbGzsO8B3jvH3QeDaw1779v/mM48nKjsWheFIYriVfz/8vUJ4hoOHDjHFqsXnq7jRkyaR/4PilaQHpAgcmsq+fVAfsQg7JUIhqXeYIqwibpnfFUKkvl7lxyMRePVVAtlBQqEGUiloam1lIOWjthYCr/dDPk/LvAsNLa4xkZDVNDxMOaR06FJyqoULlTzWk7+RGdXRwdb+AOlNsunOmgWBzABkvCp1c7O6trwDF1zAYD5INu3pHYZCmN5j2Db9/RIwdXTMZWabjS+zm8WLRZvzwrYCbEY+O5FgICVG5eBBMUyJBMxuKcOmfigWaWoTiS/sBNxwA7nmOXSvkmv60IcQpvuBA/hCIfL5JrbSSOLjn1a8Hrm+gFVSzHSbUmiqqUkYXrfreoz0UAgmTmRHv8/sFU2xktfSvLmZkhUgYJUJIAs0l/cxtN/PhAlhHBumWB7oyLYRwW4ljKtXeNkJQt4DegbJiVEMhSgQwI6Ik2EV1d+dcgU2++0ZR1sDb5UFKZVKMDaGf8IEA8YBYP9+sxFlMkBHgpwbkNRsby/1mgfS2qpUbGB2/lnY2En5pi9yx0pJj9+2sg3uu48FJ/WzYFk7ADm7kd5UI3NXRmHzZiIREftIJmUNzHjhJ2Iok0kG7v4l31+0jXR6Fg9//vOQyXDvvbB8+Ve4/XbwL5vEov378X/zmwDMmhWUVkU33MCD630sXQo3znue4XOvkjvx8stcVv8qkCIUuoDBZBIL6PgUPPDAaaL48+tf4wOiH/0o195/GT/+8R/46ldPpun262DDBm7s7OSzq2bwze8G+NLtt0vRTVGWWlokq9HaCnSlxXlrbWW0voF8XiT3DhwQu7M1GWS2Xu8KqRmJBMXIuJJIG877TVMQY1xsGyZONMbTjwC+SlZAy+rSUMyYtloqYJJh24ZeGo9DefigMVTDWR9hhebWhsjQq/QmF4sxTJhihcPnOECm6P2SrwChOCKg4UPWgGUrJRhl2Gww5H6AXN6PE5kqffgOG+9YWkLleCv6wfEed7wIzbGxMfqSSZ54YiNjYwfEU4tGIZMhHldGUamvuG5FA1gFRvBRNqocHhnZk8ahWERJ+8lTP3AAslmKRdX+bY9PhKSnKLX//fvx5XNkMqoPpCr+grcB2LbSgnQUMnF0FGIxdqQCRni6pkYtEi0nojZpPU/LoTA5giZIiUREPitY3C0eZiwGra3GbjgOoo7uTMW2VeTW1WUMy3BU0oLZrCcI3NKC/N1xhI4QalBYgrTR6tMcxfpJBdOSoBBtGtf4kkzGi4j0F1BCuUrnWkRyGTYSRtr6jFJt1p3hLFXwlizLU4PQfKJJk0RLE7yO1eOASRV0A61UUUmSrUR6Vs5JsxloC/02jyOBU44FWhEQz16oquKF3/7WQxc7DtTUEAqJI5XPC1jr4EE8LkYFok47//o57NnjKbKRTArYycBmvc1tqLYRliwhk5G06dKlXmcgzVEVPc2cGJB8HubNI5WSvnJXtA3C/v1MBVGCycG2bX/gN78Benq4ct5uAW8mk4SB8EUX8dNNU4E8J510AbP7H6QITL3oIv7lXwCKLFkC+ccfl8awra3q8/E+v60NYjFaW4UKSrEoefFYzARqr7yi7sdDD5Hdtg3yeXI5KUc895wAgWxbOYeaz6Du+75945WItPBymGHCVm4cD2/cM7VtM3cBD2GsnpOmLmgFqT+aCOqxa/jlH51LP+RQaJz/Z86tzlO2/N58UCfI5729URuykuszxx7veMcavLeSETvaeyr5ecdSUznSItc/j9Wo/NKhQ0ycmBc4/aJFRlkiElEalKEQAbvsoS1Vc0tclz17Khx2xX8xXJJi0XCuBjN+00IoGpW9+c03VUSgWw7V1Rl5pkrCaKXKgOsqNQOtsaUWmKY5KUERzxqEQuSsMLmin4BVIlAUQ61oe1gW+JM7MNLss2aRW/jXDBSn0tYG1y4rE43CLreRTZuU9x4ZNIRkYjGyWflRb1CHDlUonbe0UIrPIODm8G16TMS443E6O709w5xr4UIyGaldNoWGDQ9Rw571jdaQ61RK1nHAVTuI3hFiMQqRRg4cwFBITNd3kNSzHTQI6zKikhIOSbdzvRHofWJkRMkhVVrACt7TYawGWcwKgZbPy/X6rbKcA9UL7P/xOFatXK+HYsmF6mru/vd/N73YWLJE5n/Ps5x3nrymmnJLmknzSVV0bRDIra0QjVI/peQ1/9XzWYUpA8WpFIviHI2OCm9V9ziMRlU/xEmT4G//Fr72NTo64L/+63xuu7XMwA3/xJw7/pp16+BHdw0zfOKJbAX8t9/Ol5OfYGAArrnmZG69FSgWydlT5boSCTnfvHl8cP4gP/nJLP75n6G06EqannmGXfc+QU0NXHLJFVzBw+TBUGmEt7mdm25CCoyZDNx5J9ctHKS1VRo6c+mlDEdn8tvfylddtAgubh2G0VFCtg3V1VRXe02OLUsZ0P5+Tyy+pYVdGWlv1dKCIJNVer2y1Q4wTrLOdT2ZO+3IWhYe0KBYNJF6ASmjaIpTNIqn66WMnH5eOhur+XJmg8rnjU+udDVkLaqQUPueAEQilJ2gV1PUaU/UeTFdjmRq5XMEnfL4fXDcnH2HjiOlIuH4NDUPP/Z4+XqmfuGKFhy1tezf7wgn5qGHYN48Vq+W59aU3wp79rAr6VPpwIr8FRLRGI9WpcVAyWlZFjlXangNjsL3tLeTSgkrYEZkmBxBcpEmk6Mo2GHT4dxwc5SHHY3Kx+xKBzzrMjRkOi5orzyZhELzbAFedHcTzA5I2qTPz9BIGPJ55sR2o0tZu6wZ5Nouli+yfj3BjT8jn4c77oAfrfHh3/wYTfd+mSs6CqxeDZ/6xwbRPUom4YUXaHrpF8xMSLS7aZNgQjIZJAp85BH8+WEe3hzkWWeB3LubbuKDkccIhaRWucU6R4pbmQzFouqYrTvBplKkUkrxxBIQhL+Yo61NNgpNZC3PvxjjpfT1Eeh+iiACzd67Vy5lRyaMxnv70wPSWcEp4ysWKLk+BlLyr4yPgJsjFvMWbMH1U442eI13s1no7yeQHWTyZPl1507VqV4pjwSdstkbCkWfYdX68hrr9f92HL7GKn93XQgEAuC6LP/oR+nuVo6T6hgwdOpcurtl2s1OlKS0qna0UqzJaIy2tIhNGXaD0NHBcN5Pa6sSYn/1VTnpwoU81SmfHbQKBN1hGroeJNz/PKtWiXhJsYiAOLJZ2VE3bWLNGvjIR/4gsPuTq9hyx2M8+eR2qk54AOfQGE8Bq2+5ha/Pf4x8Hu67b4Tf/Q6IROjqUtSYWEzOt3Yt3HEHtg3f/KbML+66i6bun7Ft2x94/PHvMnTuFfQADwP8wz8ouboudu58Wc6jHKxhuwEAf/92SKXGBUH9/fDczjAUi/QWi/C73zE4qOgGeLq5pNMygQBCIVPW6OkBikXqh7YahaByrJECwoHDsiQ7ksmYtCK2dEuorh4vZK/rZKBqcckk0aikXXt6wAgBK86evveOIy8PZ31eKFfBNT14sCITogjt2hiawFJFdMUiniVWvGVcF1+xYD4nmVQk93xe6ETFIqOM5yW8Yw3enzqORS7XQ//laMeC5xg1RqOcdVY7NTUTFSgha3pHuS4yEffuxbIqRKJ122PFlwHGCQSbVEMo5GltqmauBUtpWEZLZnH09yM7iW0TsMu6qTDlyFSD6ghnd1Ffb9Y+j23yyebR2wvr1jHDHjB0NCWOIRDOaFSppwv/b8IEjKEKhUQS64EHlIKFbYtl2LCBmc0lLbpiyLBD+wP09wuNgHxeUJS//z0kkzz3go81a6Q5rK5988IL8MorlBzhzdk28Mwz8qGxGBs2wOOPj8pnPPccrF7NDHtA7mdbm2yYkRlks1IfD6cVCrO/n3RaDOumTfJdfZndci96euT8mQxMnEhnp2wub7yhrunJJ+VfNstg2seWHh+70lLIj0SgMVIQxR08ju2bb1b0t+vvl41JPdhytIGhIS/lY9t4BN5sFr9VNqXF4axv3Dz5c4+34tnBkR1G/XM0GoWqKs4+66zxBOVIhL17K7IHqj/kSK2sBUNIVq9rSTmyWcLp7Vy3vExLC5QvvYwt82/kBxumEo9D4/rviMfT2wuxGAPRc+jpkRpeU6wEHR0UllwrO/e99/KVG4aZNu1ktvf7iV5zjThQ7AUW4F/7I1wUmCGfJxAAGOXFFyEXn01nJ/z3fwO2zfP33ce3d+6Eri6uuuplXnzxE/zrvyIP6Rvf4HvfOxn4OHv3woUoUvGllyLa2tOZNes0EYYYGYFzzzWcUF0HaYyVmTdPorMTT1S4q+ZmWkIhWLGC2lq44QZJ25rpYFkCllI9iGYnSjiOp6fAa68ZP2uPIoDVTyqYkkXOnkp/vzIumQxhu+CJBeiMhCKauy7GEqntTfYsVXLR/Dw1KUilvOyRl9uUMTIiJRRTNrBtM3Fc19P0JJOBdBrbVmCVipSq7n5eweKRLJaKZMt24PDuQH854tFHIs++1TGVrx1pIR+tZoErLVFqamrFEGQysrO2tJiiM3v2QDSqaSceo1rlF/J5JYSiHk5lDhvbptZkI+0Kg+aTz0ok2LRWJssct0eMzcKFpJkBKIRVJCRvLxYZtYXKokoasLlLJuhZZ7Gj2EhXlxjK1lZosgehN+mlnIpFslnxCs88czb+aJRiUcAtWi6JRyXdyPnn88tNflIpQXrS1weOw+uvy3FLlyJKLcUizJnDs7OvZ9W/io26cWVZLMyjB+HDH2ZrtpHNdwvoZE7nd2Sj+MhH+PKambzwwggf/3gNC0Z+Ibvk4sXschvp7IS2Nj8zQxDO7mJuImQ2VFpbeTbdxLpV8tVuuAEaux+UneHUU9F9nQazAd74fS+TJ8t3aGAQOnvF4n/0ozzbEyCTlK/bFCt56VBVwd/R7zNo0eZm1aS2q1uuIRKB1lYp2KdNmZJYTPXsi0alLxiyMHV6KUDByxC8zeOtaAhHfI9qsjk2NubtW2on02l6nVq2Qqonp22Lc6nm+8GD8vVmJsqwvgtiMX66VvrZLV8OFzvPMyeShs1ZOeENN/Dg5jCJhAB7PvYxOP10Sc258ZmilLJmDQC/7ArzxhvbuOuuWdxz663MjQzzzDMXSHSycCJXACkw3QbgMf7jP67gmmvgtusH4dwX4aybcIHPAlfGnocXLgfm89PEbdx635NcC6xeDXA3d9+9ku+cdBKR116D88/H+TXAB+TvV/1QRBcOXcbKT4n+57ndPxSrumwZ3c6V3Huv3L6Zkd1CSTrvPIhEmFaW3rnd3XLfbRsv6kmlZM9pbiadVqnGUAhOPx3LgjktklrPuWFyBAgqh1aX6k2T1njcVEoaY1R8kDpnJguOYwxqLAaF7QcN2MSkEi0LNy/LxhDWdYbLtqnJek1mLAujQFS2/JBX4LnsoJGNMd9JXY8FUsurqB1OmYLg/5W+Jnmwa0bHzdV3vME7qvoDf9z760iITf36kcbRjgfI5HKcaJ/gtbdpaSEXaSIeV7I/Gw/B5Zfz8nr4q79CvFFVpS3ZQfJpJcsDEI2SSVd0io7FGBqSGhKpFOzbRxlBM+atBl58Wt52ZfRZ+NwX4OqreTYzg82bxUBoeTAch8HQTF57DS6/HALJ7QJHrq6GW27h4d4metfJxjx/PjSkt8APH5XrvPxyCpFG0+VHrQ/CyOKYmU6q5HkUzjuPrSddphY83LOqJLtUJMKuld/h5uslNXVF+h60y9z1RIFcF/z0jgERxrwrwfDyG1m9GjLPyL340Ieg/vMfJH/ffTh/+7fcuPfv+Zd/2ctXv3oCX6n+Gnz159DZydz5fqzV8NS63VL82LMHbrqJ7Rd9mkceCTM01IRliXG5807w3XQj/NWj8KlP8UTLZ7n3XnFSli2DxvTzDKd+T8u+xyQ/3N7O1kwD3d2Q6pSXrohvFQPsOLB4MTuYQXcXFDfLZyzoKGOsXsYS69jaapBm4XwOHChHg8bRGSyGDfK1IVKCdAY/iJCcZRku1Ns1DnfyjlYy0MOLCH2UigUYG6M2FDbZdC0KqdU0BIAlaa1aDkEmI8Yun4d4nJdfluPmhJIyR26+mQ+dO0JdXQ0/6viReCjLlkmrgBUr+OANYV58Ef7P/4EPLi4ww02KM7gxK/esuxuuuYYfxL7Cxy57lOnTL+We9h/A6n5yN3+dlhZU2587aQSannuOqnPr+ehHf8vHP34l9zT/E7TdicmB338//T2zWbQS9j30NB/+8CPc/uMqbv0HieZOZUgZwRjfSV3J1197jYuBhro6Tj0Vurtr2LgR5vzrv4Lj0Kvm0mfjD5N+3w1EL7iAx5wr+au/KgLb+MxnzobTTuOxbJYFkybxcGoO6XSvSfctWgSBrie8LqyRCFx6KT9Y7WPnTuVcdnUJDcQqQ38SHIekBEwsaIvBb37DjMQwM+IOJF1ob2dHShrNmmeoHPVQKCgPPhKhZAd54wWBATQ5u+nduxdOOYUdKXHWgiFxYkKWxgWkBMHpBnEs8BcLhEPi8OgUbG2tn/q6stTgXBeykuvMRWfQ06maYfdsAUS0PpuFBkeubdKkqRw6JL7BpEkB3Lwy4hT+SJ3oHW/wjmWUjncci5hbef5KI7qvUKCn5zecd95FcuBVV9HbqwxHZqts9pkgoZDyPA5FjXSU3y0QjyuenRsx3cdDIWSDdF0jUcWEFoNimxmXB+hc0EBXFzxXPZdz778furuZm/oZcxc2Mxyfwy83+clmZ1Bf30tLpERDpk/aL1fyZCIRI7aezYrqVcOshJd6yGYJuC6trU3mXmQykGEqkydPpT7memq9kQj5fBiQzAqPPy4nvvVWVt0iP964IgfXb4aWFoZDTQSDvSxYgJxj+XJ2RObS3yVYB6UlLakXx8G55BK46SZSN8Dll5/AV24pw8ohuOkmvn6nQK7//u+Bu+6S1TxvHlxyCakkRnBX4Vhk0fT1CSdu4UJeeEgcj7Y2aHSGve7MqpHbjn4f/f3y/tZWWDC/BA9sM9FaITaDdLd3/kQCD0jQ3CyK7oiX68vnvOJEKAROkH37PIi50QNUtQyd3i6HwmTS/9PZ7Y0jOYHw1tmQY73HssDvl9TS/v0lWlulVse8eXD99RR7pSm9v28rO/Kz2bQeLrzA76lDqxp2rWpBWIg2EVi6FNJpXn55KskkPGFdS3Httby3fVgmyJ138tNf/5pPfaORdetgw4YAy5bN5L2pe8TQLVwonx+JkCjCHXdcypc+lYOn65l773X85hv/zE9+8rdEPnQWzwI3AzOWngPcxKmnLufv4z+B0SjbN+9m40bleP3HbVz7w/dxbXMdbNzIgqXQVjfG4sXQfAuMRQrQ83cSanYf4Pq9Y/z938NwDK5JSHpy6VLg/E/C3r2szJRYsgRu3HwFS54ZI9peZsGaHzH28xAPulfIPh37OxZs2EBp01NsuAGuvRbmFR6D5mYK0SZy8YuNTWqKCADruuWttLX5pPbf1saDm8PQDVfG89DZScvy66QUoIvejsPWPj/x+AyC6R3MiObI54OKFyeGK0dQ1mM9BPem8DsO06Y1ynk0z6G5GTerDGU6K8L50aDgHRyHHEHS6fEd0H3xOJmMz9QtpV4dJGArhz2bJRiNYllihBuVavv+/XiBRj5PoC1CNuvDsjxerOtC2QkYPWFvXv8FjONdxPr1P0Vr82jG1AJOPvkUhoeRVf/MM8RiUn4qt8yGbJameNmoVlVidMt2gH37FPglk9FNDcbxXMzvCtmpQSc5pwHXlRz/uafnpBhVW8twx1/zRHYOxSK8t6PEB5eUmDpVODhD9bPlmjQjV51cg0YjEaStj85vaPVmJfZbmUmLxRA1GC3r3toKsZie81ILmDVLflizhoULZf//zuqgeAObNhHe/CCuK21+aG+X9jt9D9PeLrbo//5f+NWvVGNa2yb3+ONw/fUsWgSPPLKXBQt94u2vWsWXO57n/PNFVYObb8Yganp7mT9fOEsa3froo7ArNEc+86WX4M47+dSnJO2ycSM81h2W8FyBdtiwgRmRYYMg7O6GJzr98v1UMTDQ+7wRre/uVummaBStIu5PD+CnRMH1e2rvyvHxZYepn1QwHCKNZCxHGzxuoOpZZtvjmgb8j8ZbIS7fSlOz8rjK46uqqqBcNo7KjqTKuz3wAPm86EyWW2YzI1YQUFW5jGnMpnRGdbeEQGoH5PMMhGZz991yTy6O7+K9+Z/JXF+8GP71X3miv5GaGkkk3HCDiiRaWkwLLkZGoLOTtjb43vfgyuVBOHCAZ//+F5x99t+yYQMs+Nu/ZT6iedjfD7CAV17p55dTPgTr1zPzjmu5cUVOaEU33SST7N572ZoKs2iRzKl7Et+msftBPvWFAFXnn82On79E4bXXCJ8xje99T87b3S2X1RQtSKrlhhvo7DRSs8xN/QxWrZJsQvwK03aIiRMpPf00/u9/j3hcsDvljgVGWzLolI2CSSWS9eBBjNauAbcosJzuPFCONpi2H/X1CvVtWQy7QYPArASR6Jq0xiBo4Yehgyry6+42uB6am8FxZH6okDRoCbhk3z6M+kYZH9GoTAOd2nRd6VKisQmkUuO7k8B4ypbi4un365qd46i9+zAqzzvW4B1tcVamZo5VjD8WheFo3L3KY6efeCK1tbYYPNuGJ5+kMZRj82aR1yKdhnXrqKsTCpFB6SnoOSgosOpLNzKiFp3BZ4/n6YHYkKA7TCMDTJoEz/YGKS27DmbNIuzu5uLEIA2p5yGbZXu/33BRJ01SnZEdR9rdtLZCTw9zredZuFA+56lOHwNWk6xAjWLp6cGfFlBLdbVXTypYQYabz6G08ArZZPr7mf3aL/ibRQNEo/CjzY2U7/oOjIywICSfsWYNbGn7hEzkT3+a2RN2Mn06fOfeAANLboR58wiHpGi/fLk48uk05G7/DsFPfQo2beLa9D9xzTUn8Pjj/Vxx+znwyU/Crbfy7x9+luuvV2LOt9wiO+D8+bgunHvKbm5cOsittwoy9t57YfuSr8BXvwqWRfCRn3DrrfJ5sZhawLNmiWxUeztkMixozxmwAMBWZotx7eiAfJ6ZoUGWL5fAoliEp3qCFOYt8Axffz+B1A6C7jBlfJRCUylHG8hZYYaLAfxWmRnxkkGP5vOYCFPPm7BTYvr041oa/6NxvMbtSOthrKoaxsbwuSXyebWpuS7s3et12gBIp2UJjFR7tScl9qtbQhViMyASodEZZuVKCdSeTTfxU/ev2dX213LeL32Jizd9meXLxW9ZvVqy4sOJuTJvX32V8qWXQXU1/sXvZe1aOW6g/a9hyhQcB+67L8Wzi/+JMPBTwK2u4pprFgBvctllByT33dLCs71BWc/9/fC+91F417uYvf42XnoJamtH+Ur2RkqLruTyy+Gaa2qYES+xA3ginca35kc8+ih84Qsvc9VVozy8SdCs7r/8C+/d8DfS0QH4qfvX3GN/lh90ziAUgm/fvJvblmyFAwfwX3opTJ8uxmVI7RHau+rtxZ/djeOI0PJwfA470kFqapDedJs3M7e1gGXB1myjOAuhEC0tSlD9jTdEAmzIa+GjHdzKOmyFXTEKQBrAeegQEkUVi8aolVzhqA7t8QmNQXEQIhGhkZSdoMEtWJYgP7V4fj6v1j1B+dBkkgYGRQw87YNQyANFRaPGkOu2YlOmeHCJQtHHaI0+WM/pd+g4lrd6NCN2LON3tOOPdkxqaIjt218U76+iEeikSWrDUvwV83Aq+S/FIqOjamNQKviKSmdgwFoVQYNY9u9XLTvU5InFxAgZ0rsqFGv4b3Oz6OPV1orXNewG2ZXy89JLyAVu3AgvvGCCPl1rKVv+cURtolEmThSCbDi7CxAwY2engmTbtrzwq19BMsmePR6/Rn/vYrHi90yGcjoNBw5UovQZGgkztMcnnL/e55kZGsS2VePOjg65lt5eAQRREg940iT5sL4+zfs3XSpyVtiLkDdtYmZxC62t8lnf/S4ML7pWDP/LLxPc+DPmRnbQ3CzIs8E3qtiaaRDnwLaht5dgz1PMjOzWSmY895KKWB0H+voIp7bS2ur5Cl1dUG6e4cmM7NwJ/f34ssMGYaszn/ohaDqE68oGVApNFbqCgr2GrT8fLeF4KDlHe48+DhS/0y8p+YPKMdOiwKRSTJ7stWyjWKS+XqREsSw5h0K5WJbM52wWE0XovnDRqOCK0mmE1vL+90M2y5zYbi6/XPwSJe4hXsfVVxu0J5iSNI39T0BnpwJ93MU//iOmw+BWdE19GBgVAFV/Pz094sDm4rOhpoZBgM2bVTeBnCADu54iGoX77jvAjTf7aUSEg/nSl6TTOhOBvTz6KPCe98idc136++U7L11qSt50d8Mvu6eyxZ0taZxHH4V776WtTXQr+/uh1DyTQss5ssP39hJMbTfdVPJ5RXMJNRjVJoUHkWFZAiJxXairYzjrE65cdrcB7VR08oF83kD/DZpSocgNAlOpoJesgCigFHOmI0g6jaGeBKySuY6C6yeTqWi1lcngSw8ahy+ZxONe5PPed8jn8VFmZEQZVscxXdItS1CaQbtkDPShw/TW37EGT4/j5dId6T2V462OHfcey2L/wYPkc3vJ55MMFKdKVNDXx1lnqbSxSgka2ole9apmkc8r+U01GSZOHC9zZeSYFDSpvq7MpEke5UCjkmpr8eDDelbk8/itMvv3Y2Dh2oDG42C0g848k3zeazipu66b3KplSaugCTlcF4ZDTexKB5gwQdZaXR0e41NFI/E4vOc9ylh/9KNsteZgWZIRmmNtBdvGd/XVMG0asZhsVrYtrXR+/3s8lZhUipYWVRMEIezeeivpNCQSM1m5Un12ezu0tuK6eMroluWhBfV3UYvUsuS6HQcvh6JyOPv2eYozxsvVLq+ilGg5pUmTVM1BH6gcGsuSZzJxYgVfE+QNh6mEmKGg1pU/6rcF7LKBOZadIH+ucbwZkSOto8pXLAuGh4ehqoo7/+VfOOEEZWdaWsB1Oftsj8JWap7JoUMKtJJOy3dUGY2gU+bNN1UEoxw4v1sgXBwkGpV0Wj6PpzijnonmXCcS6vk7DqTTou163nkwfz4zE2WJzh0HbrqJ/ftfBWbx8Y+DkiUmgZp/BJk0KYjumqwBXUFyEArRABCL0d4OicQUhoZge+RC1qyBKVMmcsstostZBqirU8vjVeBJnnkGePllUdRfu5aZzSWGhoQ2uHnzeHzFiScCv/61qLWoueG64kh1dqr50d3tCSfk8/T2yt8PHVJEblUH1owoLIuCFZSUIRh6lEFJVqgqmUyg2o+0Tz+QUn08EfZS2JJUKKefzr59ymmooCCYNakMEwi6MmAL13R01IsI9YeaWrZ6H47jSaI5jtB08CgIOlFghmUZg6zaiXp/4h06Kgvwx0tBqBzHquMd6dg/ivaqqsB1GRnJ0d+vCqrd3cy/7AqeeQZyl15MsO95WpvxirvKuEGFYIByaerqlDdSAe81G7ba/VSbJ5oiEXxuiRlxVI8aqZH09EAk0kgsLuefNEkBXVyXshWULsFpxVdbsYId6SD73pBJOmWKENrZsElIwfMXiAbolBK5op9Uv5HfIxRCelM9+aTkWebNY2tR0FStrTDb3gG9WQot55BMyoa3dClw9yZxBJYvZzBZYvKIl0F1XaUXmclTWnSlMBqy0JR6SnaD1lae29PEzp2ifn/dot1wSxe8+908kZ1DV5fq39nTIwZfu/yuC0uWcM+aABs2yF66bBn47/6ORLktLbB4MQ9uktpFIgF14VEaizugJyv3KhqlEGlk2zZxIEIhOS7Q86zc//p6yu1z2bhens+JJ8pmQG+vJ5OmMdgqmtEec+WGUHaCZFLyekO0PB68onhNb8eoXAuVAK3K/481QqEIVFUxmEpx7gXKq3cc6O7Gl9nNzp1TsSzxTRqdYXpTh7yGa2qXH876DHNDpxx2ReeSSgW4MLGbBU4/5fa5kM7DaafBRRdx/wM+3nxTHJAlS9TcLhZlvuh6Xns7z73gk48rOtx2uw9Icf31H2HRVVV8HbgO+Ol/jPH0J5+muflsNmxA5k17O/MTsGCeopbccAOBZBKiURxHHFYtWn3LLfIvfNdXaAHa3/9+hu99EHs1nHLKBbz6aj9Ll0Lm7/+RLUDbwoVc+j4/Gze+ynnnncK998KC9I8gmaG88kY6O6F+yRKC27bBwoWG76m3kKBdkppmKgXz5vHgpqBmAYmTuHEj5PMMW1Pp7ZU5GXy9n0AsRs6eajqpi0xXwJxYiTqRyUBQ1dCwbQ7WNmpKsEk/m5KLzweuy6FD8jjrY+KtN8Zs6WReo4BXqfFNWm074CmxOA4l/GQqPoPetJn7mZR6rVjEUtQdTZvSPqswHwKGBuM4UMN4It47NsL73xi7I41jITWPBGSZEgiA308gMFMm2Pr1cNpp3H+/3Phgcivk80bH0sCHTW5A2TEVAhplAZVPMAAW5cJu7fWR0g+9r8+LGItFaG6ulKjE55ak7jZSNNGLL58TjclQCFpaKFhBMhlZtPG4Mnb6fEiqYWhIAAi6sXJTtED90FbC+QGPe9jeDqGQ8QDXrIHn9s2Axx8ncNbpXMHDbNwoEOaBJTeKC7pyJeGwgFMef1zoEsF1P5CNynVJpeQ8118PW0MXwiOPkPrYxzj3V7fx5pvwL//yKt9eM1Vu4E9+whlniLO7ebO6qT098k+xZcu2EN+1MwxAVxflRx+VHctx6OmR/aOrS9WYUilxvdetg23byGaFKrV6tRwTsMvyQ1cX/P730vYEOd0zz6jP0TkmjVxQmmz9/Z5cqSH0p9P4KJuFm8v7vLmiuIQmLfVnHker0x0rS6KHJBbEVf/C5z9v2Dc89BBkMmxNT+WZZ9S87N+BaZXtOJK2chx44w3C7m6Tfi83z4DWVs32kZv+5JPs2QO7ig0waxbDtrSeede7JOPd349YhM2b5caqVHPJCnDJJYoqtGkTX7ndzzPPXMDdd2/jho+PsQz4AfCJfzkd6Wf3S9797jfkQtra8N/yRY/4tmQJW5Z8nS+mPss3vgEDfQUefryKxFlV3HADnHDC1Uy9+zZSwD899BDhGz7Ihg3w6qsvMGlSM1++qUQJmAuwZg0bN74MNPLs2gFm3nmdiM3fcCNLlkgJmVCIvq4uWLHCCEr39so9H9rnl7XX3Ax79rBwoVAVmpsFOMeSJdDcTNgpcdppap6puWRZ0vJH14eNpCBy60ykWWk58ISgfZRN6rNAQJx/BWSplAQb2i/oSt34VwXfFOwwJStg6ne66OYv5sySSaUwykOVwBmKRRynQsyDcZz1cckpgDFrfIj3jjV4R/JEj7Rgj3foKO64jKXrclpTE2efPZdAwJLQOhQSqDsKeqs8+3Eq4zAubLdtTKinZALHEdNB/a66J2ijQjwuOXoNX+rvJ5GQSG3cZ9XWUnLCRrbMzIJ8nkBxmHhcruH115W0lZbEiESoq5PvoXETIyMwtD/ggW/AaztiWTRktrJsmRz/298CH/+4pJSSSZYuFVLwhg1IeJVKYb/0IgsXwu9+B89mZ4pbqlKoTZEcHR0o/hKwYgVBgEcfZdkygBrhFN90E0Qi1Hf/gltuUZtjLCYRQFsbpUVXUpq/AB9lvvAFYS0sXqwW08034/vqV2UnTKdZulQurb1d6io0N8sOsngxzJpFKCTloRUrJMVVxue9sHAhOA7nny/7THu7mlPNM+SiDFROhg74IhGFvNTRn+uaNkGmXhKJmBTf/wPe+f9ojIyMQFUV9dOm4TgqalU9nDTo1xhrx5E8k+uaNBunnEIpNJWaGon4fd3PQzpNJqOkqzo6oLWV+iklgd+/9hrh4iB1dTJ3NZPEkJvPOEP0KS0L/+O/4OabJc1cWPFZWLmS9nb4u7+bJfbiP/+TTwBuXx+vvBIE2oFRtieuxKBmNJpo1SrmPPo1Fi+GjRv38dfLA9jXXMNu4Kf3FoBL2bNnC4mrryYEFO+7jxtuALDZv3+EXNFPw6RJtNg2gxk/U6acxvXXV0tzu2wWTjvNAGx06SECEI8Tj4t/mUjItDhwALm2jg6oqyOQGWB2PEdzs/gTO/p9Zm3G4wJ2w7IoN88glVI1O+X9pVKY0okub0ycyDhBBd3yTIutW5YY4P5+5OBMhkBGQGs6ParpNrowHbZEdg88hTGjnqI2RD3lQyE8dSrLYuJEr8Tgc5VEnZpcOp1pWRItBuyyKQuUD9vO37EG7/AI73jQmZV/OZIPe7RjjxRNjlZV4fNZ4jlpBdREwpPHUvmnSoFo/VD1eUIhjDtlan1qt6uuVvU5NQNqavAmruuSzcKupE92iHicUEhoCuHUVshm2bMHcvurjLyP9tTKTlA+KJmkwcmRSBhtagbtJiPe63NLBNwc/vQAM+IlZs2SLFTOCrM928Aut1Hqidms0SXTRrSlRX2v97yH0vWfZeNGWXt/s0KlYaJRqK/HsoxwPLnoDAbiF5JrngPZLAvml1i+XHnmNTUE29vhhhtkA6ReeqJ1d8v9mj6dYlEMJOk0nHQSw9GZsrDzw9DVRX3NsHEYUynkQ2MxwWTn88xMlGlrk9RPuYxnzFtbIRIhQMHoPSo8kme1VP1BF8g14t6XHfYIerqBmeuanoi6hmEgb5bMJwNYOmz8b5XFjka5eas63bGiP4CDBw9CVRWBUIhQSKVzbRsWLqSnR/blKxcJBWfAbSCP4xlw5ent2+exYfRG19oqzgWhEMPnXca/3etnRzoo8+2HP+S6+btYvFg23Xvvhe2ZqbJIZs2SdJtCYsXj8B//AYGFF4LrUl3dzze+8XmSSdjysY9xD1LbueUWgP1cc02MmZ33wMkn82+pK7j2hqDQWVwX7ryTuTdfyNihibS3w7/N+ylb/u8YCxYHgA/zhz/MoeeBB4gC9sc/rhI7s6ipqWHVKgT9mUjQ0PkzNm+Gz38euOQSyuseZMu0y6ithQ9/WLIbdHZKzamjg7VrDeVVKA7ObtOOi+ZmCpFGckhaPhpV4hP9/ZTx8fvfK4f2cD3WCqpUyQpAJMLIiExFY1BUgWycw1LhkMdiGBJpOSZpT+2kT5yo9jCVZSrZcn0Bu2zON25Ou66J5HQ0pz/I9K5UUWexyLhMmak7qvymFpYeHS+08s41eH/q+FOivaONyg1jtFQCfB43KpOBYtFTvzdVVuUtGX0lb4yMMA6lNnEiJoX55pt4xhSvXVtlEdmyxqPlSnbQcLwmTDCpdTmP4igYoxqJULCCBrRS2U/KkABV9biE3yAtXVcpLMTLoh2pwTLNzQwWwzrDKrkX9Z/qSyn5y3Qa2tvJBxtMz69Ga5Cg46VJiEYZzvupqRGNSpJJWYFqIzvppBrplqBk1nYwg95eRVTfvBm2bTPRUDkUhvZ2nu0Lk0yKMb52aUlS0Pk8nHcez+2bwVOd8izrq3ZTmx0SY5pOUyDA1v4AW/oCJh3aFC1I/e43v4FikXLzDLZnptLTI0jaE06AxlDOE4dUm1I53kTOlU724VBZS42aKF/XsbJZNdd0awcVuWh80P90HL4GDjdu+ufKvx+eKan8u3mPzwflMqOlkqn/kEpBVxehkGR9n3tR1PgbnWEcq2iABXpiHzggj/mllzDowokTlWMRChHOD7BihZpHZ54J11zDlmwTvb2yDjo6YKa1w6T7G0JKdurqq1m1SkWKGl7MH4Ast91aFoFngNtv5777/g3o5V3vAv7hH+C//ssE+ZEIDF5/myBbIhF497u5cf4W+vvhqqv6efzxX7BwYQ2Np01gPWADv1x8D5/85AsUi89g26q29o1vsKGnB5Yt4+BBMV7hxFRWrBBb/QH3J3x54RapG1oWIYDWVtauhf7+Il1dCkDz/e8LF2PNGrAs7rhD2DiPPqoyDLffDmvXmpLmtm2MozjpfYL+fiMuX7KD7N3rKSAChgc8cWIFx9K2iccla+M4SMQeiXj6l8pI1teVpYWZ60I0qvvCCtIyn/OiMHzGYun9VCMy9T5kkKMVmAZtEDUoT3P4hosBCkWFPq3xOsbInP0LGW+VijzeOkXlJnCsc7uIduCECciTiMUoRRo8JGQF5OrQIbxIQD0sy1IKLGqzMxNMGUoDw1UelUFagQG1aHJlwQrS368mRDIJL74onK+y1OIMdSEU8owxguRqjBQIFIc18p1dmSCF2AwpNqvakT8/TDhUNpFHTY3UmAqhBulEoKrYDfYwbW0KcOE4MG2a+V7ZLJLyVSlRZ+IYZ5+t2vlkMgxnffT0iJ0ZzvsJhSpSw7pNSTZrMoTpNOL+t7VhWSqq1H3Bamo00NNQE049VU6RyUj3B5qbxTr19DBrlniie/ciBf1Jk0wxIuDmdLNoQiFJ4+xIBcRST5smcOrercyMC4H8wAHZE3dlFMkc5EKSSXyZ3QZ0MJz1sWePui9qIwo7JSIRuZZc3jc+glQ1krdjHD7n38r4Va4jy5J1QFUV7tgY0ah6bvE4LF1KOi3RyrlTdkA0yhM9YYqIQQvbihQQjWrpWc49UziqxGLU1wwT6N9KyQlz/28aufdetRF3dsJ99zHH2srsREkUxTbCgD3DzPOt/QG5hv5+li0TY9CvJYV4Bshw3QqfGBSgdMstwDJgmgBcTj8dFi1i9Wop427erN764oskH3qIZ7u6YO1atcyfBH7Kxo3bhN+J0BLeu/4T/PrXZ7Nw4fns3/8G7373H/jRV19l0eWXg21z7teuYPiuH5n6++LFcL/1IbYwh5wbgGKR3QA//CG33AKTJ0tz5fsfDUpoqHigrFvHpz8t2ZKhIbkXWmkmUBwWIJbCCGn+Wwm/yR26ruLCZQYN3SmVwuu35LrUTyoYLvhw3q+FUITiYODd4yO2kuuTzwFjmCwLEznqAM5gGdJppkzx9DFM+SSdprlZgdoch1xR1JXKdkBSnBVz0XEw7bqKRSgeqho31/9iDN7x1O2Oh3ZwJPDKEc85OsrOnS+JR6Jbx6R2MTKiUuNqg650qipdJ40s0t6QbVegNLNZj5OkHrjjVKQ8Hcfw5shkhLcWFX5XrvVC6YTpOAQnjnL66VLbKxAgV/SLrdNNtbJZtvQFeLgzTH+/EkS2Bgj0Po8vNQCRCMORGQwTFkm0Ym4cby9glQhndsgGlMkwTJjNm4XETiQi5PbWAqGQfFw5MRODSHnjDbq64Dtrwmy3ZhMKSf3rysVlAcUgxm97vlEWnVKpd1144YUDAlB54w1YtYqm1FPYNgxE5shJWlvJZsVw+FO7YNMm6oe2Eo1KFujRR6HQdqHk3vJ5AsntnDt9mJnRYYJ2iaIvwGBoJkOTZ5AjiL+YI5DaQaM1yEknyXMY2q821OZmg7SNx00J1ONUVlAacF1xHhwh2WqR+bLlN55rZRKgjG8cf/OwBMGfdfwptJzK48QBt2FsjPLIiOnKQzYLnZ3EYjI9hiMzoFiUTVMro2soelEaHu/bJ/ws3TNySzLMYGQ2fqvMBy4vsGyZ0keMx+GCCxiMzGYg7ae5WfwPs0lu2MDs2LBJrfX3S8uq5unT1SL6IiCGIaG+5w6gri4IvCHpxKuugp4eI+F5xfwc59btgunTiX/1q8z9zGdg2TKWLYNrrvk48HVgAuWbvkgzipZgWartleTVEomTubZjkNIjj8h1fOADbG29locekim+ZIkgkJub1XeZPx8H4JVXSCTkXr/0klI8Sac9ebbaWqnpcZgYc3W1sUB79mBAVPG44sqpcokxOCrqPnRI6fjq84dClCzJTNTWjk+554p+SSEdPEh9Xdmry6o9yogQpNNmXZRtQYVqVRSTisT7fdxctyz271f1vmJxHM+uskRUGfzhSn9Q32Fb99u4hN7eUUlLqHxNj6NBrY8UwR0tqjuq8bQsrJoaTj75RO9hKUNkgoM84DgUs+PBKd7n+DwekmVBUUV02SKEQhzKe5+FZZkSoA793aJauxHbQIobY2VFQRCVlQPFag4elIAlUByWyaFy9SCfHXe87EY6DY06KrEs6O8njDSo3JXyY1l+Q4GqrD/qmazBGKEQYEkabyAjEOIzzlA6lvm8hEvhMGRkYZ1wgtyTYtGHa/kIRKM6aJZaxLqsQYSmV4NtT5SI7tAhUxtzLPW1MvK9bHVrdQ623DKbvrvlVl1wgaIU7NkDs2ZRiM80Smm+7DC2m6fBHpbaUdbH0EiQCVHhwDlocec0vFmUBpWhMHv2wOtJuW2xmE7rpscR+HEcEyEF7RJO3G8i4HJkKnv2yGYWiai0VTrvPQvFI3w7x9EoOcc61rJgdHQUqqrwlcteWlzxEydP9tRjwqGQrAvj7WFq28WiZA6kxmNDMklz8wxcVwAYqVSAWAyCqS4Jt9racOMX0tsrDmaxqGgp93Z7RC7laba0qDmpuHV8aTvQzB13wMBH5DJaamrYs2c34JdasCotGGGEs4LU93d54V5HB1vc2SxZAvv2dQFT+Na3TiNfXUU/0AE8tfTf+Md39wMlpk2byd/+LbBmDTkgODKC//XXyUyD//xP2LlzL5dccgKfXbQLVq9mplp/gQsugNtv5/bbZfOeP19RfFZvEKvY3AznnWeSG0YWTPfjKhbJ55UzrRyMbBYCtuuhWWNhcm4AOxSAtMy/KVOAvUVjvLTTPmHCeJ6o2ZNsm5Lr83i8xaInOH1APldVfWTuZLPUTxEqguuCPxql5PoMmD0aBfpTZt88lFVzKBKhUBTdTE1w90Vt9H4qH+2TvYo/Tmm+Yw3ekRbisQxg5WvHqksc6f1HAq1s2b6dcu2rzJz5Aa9e51Z0HVcEK1PsrSCHl1yfx7MsyswxFD1lfbQR0n/X4X/JDuK3LCaOKW2+nl6IRhmkgWwfNDf78bslolE/w3sl5Wo2kXweny6URaPsyIQN1WFGc1nVXVLSXiPUCI7wfbStrq7GaB7685KKNHmEWIxNm8Q5b2sD1myCYpHac6/AdSvAGcoaFBFB7EQC6g8NQNLFiTdRLIrX2NMjAdyMZkt2tJ07DVgH1ILQnI9Egr4NEskGVI1zRoukYugrwrRpJn1oHOMo8Ic/wIEDBGIxMlaTKjuGOVjleAZfV8NrIuzKSn8+x/HT3t4o1JPOTnzV1dSfeSavFBvo6fHsW4MOy3UBIhTCp2qn2azXiTrg5qBYpK5OVN+LRShF5DlXyl7YztQjztP/7TgSYOtYfz985HI5qKoiVxAZKwNUsG2958rz6kthRcIcKtd4RZcKd96gADMZqVutkfdd0bydGaQpxC6GUIvck/nzSfV5CmwGDZ1IeItFkUA3rVLgJzOagQUsWQKPfURtgjffDP8YBGKijrJ3L8TjFIsyn+sPDcjFvO99woW45hpSnZqN1M5PfiKJiyV/GOOzJ0saLcxT/Md/XMi6dZi5zh2dRCZNgp4ePnhLE06/TG/f5t9BLEYuMoP1zbfhunBd68MSXm7YQFvbhQwPwznnSPNbFi40lnxoYhPRKAoRqvzQRAckEgxajUyerLqj9yY9ZLe+4fE4mbRqdZVKEYo06Qw8MzSaLZ+nqJSLgo4YK9cNe/XasTFDAK+MsAwhXG12tqUQ0MoJzOVVnY0S5Iv4bRvb9pPNyncIaI4CMkXCIeGmWqGpZLMQjMhmW3J9BqCraQ5lS9bXiPsXmtI8EtryaCnOo6Ez3yotOs4A+nz43BJvvpniqd6wTKQf/pCODknf5S64DFyXlpaK8Fx5tX5LhHbTacg5IhTcECqIt6QMk97rNFw4HBI5nXQayGSorxmWcyr0iuN4Ml1YliAESyWCdkkmilbriEwlF51ByQmbSMSyvHSB3ixUJpWBtN9sJhMmSOTh799uEGKl+AwGnRnsSgcMqTvc84TUNFd+kZ//HM49V1JKdHbKQr3+elOwn5MoyGfGYqRSclotaP3+92N6mvH5z/OsfTH5vDAerluqWn/Mm8eWHmmdNDqKXGgyKfnQVErambTM4ZlnxrWkEzSNBoQ4Dn19Aq5IpZAmoH193jGOw0A+bEArkYgi/mqXesIEUwuppM6NC5213pptk05LPUhzyvV997ml8akcHQWFQpQjU9+2CO9YaUz992OtiwMHiuDz8e/f+Q7RqGqY2tYG69dz5fxhenvh1luBeJyG1PPUHsyK1uI+v9yw3l6Tkrz/8bDUnzIZWlqU82TUlGFobCosWsQwYbJZ2XDjcZjbvJtgZpfnfCpLVYo1sWiRZBi4+WaenfdF6uqCfOtblxJY8UGCwEJgeOVtwD7gRLntS5aA6zLz1V8wN7IDI9MzfTrD13yaH6wP4zhwYWwX9QeklKHBuBZQAti/n+5uePzx3/Hkk/uY21Zi6yOP8Oz+/ZDN8tBD8P3v7+Xuu5Fz33svwe4nqK2tKIMoSK/OnPT3w1Pdini9aRN0djJlilelUFgxeWHnTqN3aeaj44jR0egoq6IXp5qb2axy1HWPPYWeTKc9PUtF55V6/YQJkEgYcnylkTL0GhX6G+UTlRECSemXnSBllUEyEpkKEFF2gh5hXUWbto1ZfxVgUwGRWX7zuGrGSuPm6js2wqscx0pPHg2I8j89/7jf/X5qa6sEffX0RHj/+0l2y0QIprYDnno38XgF90AmYTQKweJusCwj10NR0mT791ekDR2HQlHUImIxICMpm5Lrw69SkAf3y/ma4mWPmOTzic5cEYKhEGUEKFFTI+kAf7FIY1RQmJaFId6VLT9uXj4rYJUoW36ThsCyKMRnSkrBLeC3yjiOz5QLzER86SX8ie1Y1kw2bxZj9OWl8wU/vmYNUxYsAGAgE6BRtRuIRBpMFKYX4cxEwrQonztvHvPnz6SvD+5/JMAHbroJgFBaCv7BzQ+L1Tr/fHaEzqG3RzW1zQ9z5SKHRMIT1GbZMrWbyj1f0DYM8yXFsm0blFrPwa87LwCNdolQyO9tBhopI+KegGEwGDs4TJiw9ih0dT6VoikWw7L8RjknkZgqEbPrEgpJkd/vKkBHKETZls7q1dV/yqw9/nG0dXG8yGbbroGxMRpOOQXLUqnFVXm45RbufzzMkiVwbetW6Cvy3Ng5FEZ6wbapd8rwSt40HW1tVc5IxmWotlGi5Ox24Ypccgn33i33/rqlLuHfPM57Dx2CvAvuQr6zdiqOM5XrlkSgt1eI1XgJiHNrtlA46yzmfutb7Nkzly984Wmy/+enfJH72AgsmT+b//qvrWzfvpcZM5AHuXIlD3Y1kO2UtdXSAo2bfkD40+9iUbHI1Ntv56/v/nseeOC/gX4uuGABvttvYztwDsCUKdxzxzCrVr2LW26BGS3wsTvG+NKHB6G3l4Nf+7ZM9rYl/DJzId3OhUT75ZrPPRd4pl8MTk8PHddLNKlUxIgvmUHj/PmQTOLf/BhXdrSzKxM0AJimFllT+/d7WXX6xHkbtYIVdQn5vFzRTzAUIh7xeKJYcdP5wMmL01A/IQeZIhmFSrZthbDs6yMYi5GzgmizotdBwEZwCo7q/6gie41odxwlbm9ZQMC8r0F58SJFZkvbIcvCduSYcnSqOIlFKYtoQIyvWCDsWJQtP6PV/sPm+l/AOBJ/SI+3QmZWjsq/HOs4gFlNTbS0tFFbGxeAx3PPQShEd7faI199FbJZ3XIKgIIVNEV648mrfLfxhiyLHEEOHBhfJ9u/X11jZjcUiwxnfVIQVkZ0dFQZiUpKAV6+vVAUY3foEIQdpUKbz5Mr+k1uXfpRWdKE0SoIQEDl/HN5nycCa5cF6WUJ/DdoFagfHaS5WRZkruNKUZvu7OS6ZSXicSGdP7enSS5o0yYYGMCyxCvdkQlTikjbo5YWWNA2THu7XOKz7jlw2WWyMaxZw7x5Ys+feUZxh3p7aYqVBDyk+/3V1Jis1sSJyIl6ewmFZP/o7UUcDE360QXSfB5/drdoPQJDe3wM5oNC9ygWCRZ3S50UQVkW7LBHyksmCVoFDTYzfCajKFBBLte0EmC8d6pS4ppgSygkShZIGqt+ynhv9c81jjTHj2bsDj/WdWHq1KkwOsoHli41fW91UWnvXk9ulby0AQJBCZbxVYS5Fel/vNQ5kQi6TURzs/L8dVQdi6G5C1r2TocZvb2qB+HmJwDYwhwCdXVwxx2ccko78Aduvx2cRILdwOC2bcRisHv3QWEuKNFxhUfDthXVJJ+Hq69m6mc+A6efzq23woc//B7gPTz99CiDK75CK1AEyTJYlukDN39+BUdRkwybmyGb1dK7pmPS0BDikKkLCFAw6W6dMjeTTGV5tA3L5zEI4fq6MhMnqtcM0oM/kiaxLMZ1ZRknfHE4AdSyjCPvunibjEJi6v3HAOvUs9f6mdrgqUBXYgCV+teXWIleJp+XDJT6nnqNVO7z+t5UXouP8h/x8N6xEd6RQCXHiuSOBkI52nuOdrzrgt+CgGVRHaxleBhK0Ub8O3fCxo1EItfR0wNXrDgT+vtxXRXlpdMEdFI7HjdGJhhxjJBusQjBYoaglSVvN5JKQaPW46lvoL8fovOmEsjuIBwtKfxuWuXRwqTTMHlykPq4mjWjo6rthp+AmyMwmodYFLBErcUO89I2+V7RaIX0k21Lx4Gin3y6kkoWwI9MwABIV25tuS2LZFLq+Y4D1y1skXRkPs/8+TfyzDPSJulcnXutqeGFF0RpJRYTNKVfSYERiZAqCuKzvh7mTp8gekmWRXG+ZLhqa5HU6tq14Dj8NjmTE06YybnzJaU529nF7KUxk/PanpnK+tXy0QsXqrTrunWyiFpaeLYnQD4vwIgx/2786QHqdY2SCESjDGSD9G402TIh+W/bJqiglhZ2pQMa/CpSWsWC3DwtCT9tGsTj5KwwqaTMi2hUCfBmsgaePzoKkYjUYgO4kFG7z9vFS1DjeOraR1oTNTUTYGyMQ3v3ksnI85nhurBqFcu7PsGiRVAszubLN5eZnRqgdzCFPx1kgEYaFVckFPekIS9utQhaBZKZAJHEVPyq/cR721tkImbyDCYuZuNGSYvPjJTp6FDZjfueBGDOpRHo7gPb5t//WdKspd5OWLKEnk5oa1vF8uXA+knMABpCIVZ3AfTxwx/a/OD2ZvjIR7j4MxkuXr5UnmNvEVas4JfNn6WrC5YmYOaT3+NHoZdZ+ovvcNllL3PzzafxA+Ax4L19fVx7Q5Af/3gL8C7efLMa3+QqtgMz77+fC1f9NZ2dc7j7bvhEdCsz3C6Iz+PBvpm89BJccZFNOZnEV1fHjlSAV16R6XbWWeBP7oBf/1rmZyLB9mRAK9R5eqSqFjFhgl+yAwY4gBf6KgMSQEoLmYycY+JECL6Z9YwgAdJpmJQIEnCHOekkKXPatuo4oRCf6TQ0hBxFo1GgFXUdubxPaXQEsVHAGJSWpivXpv31UAgv7RqNKnyNn7BlqdS/3wQLtu03X0uEqIPm98OzIn8REd7xjGPV5f4nqc4an49Rd8Rw3QDjoRj6gMqPj47iufIV3pLxuqjwbpVXo1VB9B+0Z1zpiem+UhSLpnZ06JBEYwbqns1Kodm2KUcbGNrjM3WlAAWmTJEUp9EwtG1DBtYAHH3Z/mLOuOsFK0gh2uS1TH/xRZqiBaOFRyQiadzTTmNoSCZwezsS0lVXQzjM3r0YKa1KtREsIaCqkgl0dlIsFqG1ldWrYWTkZaZNQ/QaVSdN15UFWErMFs85GpVQTknR2zam1UtXF5idWRXuslkM4u/QITwkYTotEaJySnRB3+hAZrPyppdeYuJEiSCTSQUD1w6OrsKraEb/euhQRQq4QlHCZL71+ytS4W/HOBrx/HjH2Jgg4aqUjpOJDvbvN3woQxrO50XKRnNP9Ry1S4bSU3LC0NfH7IQQ2Q0QBeSGpVI0ODn9I9v7hLBPX59MgvPOM1qauC51dZLBZudOWLmSD3xAUJGLF0PPCy/wPEAoJLU0soDjNThuaZFzZTIyQTZtIpGQZ2zoR/G49Myjn/nz4QlUeyDHkblGCuiXllFIw1l27mTiRE+6z3xWNEpfH7zyCpBKybEqbK6pET7d0JDiHLa0yHVt20Y87iUbjFh9BU7foDSpkDCsSC0CJlJ23YpmrxWRl3qkRmlF19s0J6LgCj+usmbnOBhN20ragJ7SZjtUn1M55YFx+6UOSkv4JaOj5pNlyZZSweAZnzmpGO9Yg3csMMrhHLq3Ksof6/yHH2ccJNumNFJmwgSl8DFpEsyb5wnePv00UNHzTD9tyzLnNikv2/ZqNCqpbVgMFRudcdAsy1APNDnUcZQaPQMEyYm0WNlhoDhVPk8ZqpoavA02kzFpomRS9v9Syxx5IZ3G3/M8jQyY7sYFKygwfCdo6k9De3xyvl//GjZtMqTwZ7v9ciMOHSIeN6BHud69e2HnThYtEkO+YQPc/+RUWcR79sDq1Zw7bYDmZnXZ8+djt7aC44gKBk288QZCWopGobOTK+YNc9ZZ8tlP9QS5/5EAQyfOkZu2aRNNnT9i5UqRH9u8GbY0/7VoSanc6XsTu7hx+TBXLioxOirp1yeKc9nVvABNJmvqeZBPLPHSrb/sa6L8KcX4PXCA+jd3cPXVYm8nTYJdKb8AMM4+W2gVqtbRaO/m1FPlniSTMOw0GvJ+Y6xMU1xI/rm8j5wVHtcX7O0cRzN6bwVaGR09BFVV1E6apEV3ZHJfcglDe3x0dAhKsoSfoRNmQjAImYwABi0LmpsZ2uenrk6mjD+vAFmWaCgOu0G2xxawJRmWNOGaNbBxI21tsjw2blRgDa3WEI8zkPbL5Fm/nssuE3lVABYu5JlnoKrqBLJZaL3gAuYA25NJBnqGUdLOfGXtTPj1r9kSWcCW/iDs3MnwJz/JwPveR1PPg/z4x0WuuuoZvpn6EOTz3LPwQT784ctIpWDB5ZezCGDzZtGP5TJglLVrIXjNNbQA1NRw9dViiFtbUYW5OEMjYa8i0dpK/KST4NRTmcEOLrxQjs/n5RaUll4rN3bCBAK9zzM3uov2dllCAzTKzVQSbgYEokQstFD80B4RpddCE2G7IChbPZRO3sGDUkqtn1QwQBGj/uQTwFvAKnmgFUVDSKcx4K2wUxJcgC3zS9frC0U1r/J5AhQ8hLpWq7Ztj/un0J+TJmH2Sk3nAal9B9ycSY0aDIUaf/EpzSMBWjQX6mjvqTx/5d/L+ExK06quplQqie6ibcudzVf0ZopKSDYOdXcYubLyh5GRCt23YhHX9n4Gj7Ouu6Vns8pA9vVJnSA0k0wGZjeLsaqPO+zcWfHZiscVtguwYTPYNgPRc+jZgBGmdhyVKnnpJVGaaG6mHArj9spnaXqD/hqhkIJr62ZeCxdyR4cc97nPAXesgWgUe8mVulGAzPDqamhoYP16ibo6OuAD7y+J9NhvfyspyHwjmzapzdPOyvtqa0kmoapKNgvuvltOsHIlX7krzAsvSCPND1yag+xm+F63AgW0sWvetdx6vaTNFi2COZEBuOluCc9V8WRH0k9fp6dB/N6FZQkJ+/vlBi1cyIObhZqgHXJf9/Oy21ZXg+OQkmCwkgaGgWVOmmTULfb2m+yt1FSz8ouGauuarm0j6U5d3f//YLxV1GepOVwqlTzvXBVn3nxTbk97u7TvqY9G2eP3G8KzX6GHNX/VZDViMR7b5CMahdnbfkJ4wgS2J66knDgHXzYL7e3se0nec/75Kj0Wiwl6CWhc/x3RrVy/nqXn72PSpCl8KXkePPoofX0fIplU62fNGuacfLLpiwe7gR309Z0C3d3M6eyEzZvJPPooYcA5NEZV7X8AV3P11Y9w/s1V3Arcatv8uPg94GGaf/IwH9wchP37mVHcyn/+52yKxZn8zfztlM+4j9jVV3P6D79IX98/M33633Jb/wfZct99zADqR0f5h394DXiZxYsXcLFti3TP6tXUvfe9HAgYsK9QBxRwRacVmi9oortbjmlMJBhIyT0MZAeNIlSxqCD/lmWorL6UiD2UrACHDuFxhNX+Y2qqqbRJXb72Gl6UPjKikJd+ScErUWfrCBZG8/XGTefKdCvjucsFBLQVZli6ijgOxaKfgCOb5Ghez0M8qgueKlTleMdHeMeSQzp8HCmy+1NSmuPeNzYGVHTeVSG54dMdVmA1u1exiI+yx71VRdZKuK5OhZrgLps12pAl/CalMDoqfyOVIhQShZ+SJR0Nhvb4mDTJ611VIODp0ynpcf2e11+Xc5tmsgcOmDREsSjHaFUQHMek/yMRPDUGpX+pv69JobiuMabJJALfV7pEBw+KvUomUfIlQyZvr9OH/f3ymeV0Gn77W6ZPh7GxA6KN2NyM7pwbjUr6Mx7HI37pdhDFInv2yLnGxkbFo376aSH6Kejz9n6/ARzV1SnRYkVJ0GLXRKOmyG7bCIBl5065VzU1lKMN9PWZDJTXdmX/fll5CjJftgQ5prOdgHGX/yilUzkOBw/8mUelQ3i8CE0Ay7JhbIySEkIsFjEIwBnNZerr5VbmQo3y3dVk0tkK/Z5kskKH8/HHWTC/RHc3PFb3IWhrYybb8W14WEK6dJpf/UqyA6+/XtE2SxeyOjrE+HV1cfnlU4QD57pwySXcfLOUfs+dVYB3v5seoBH40YYwQk1oZuFCMGmT1lYioRC+6dPxb36Myy//JPA3dHXBvPvvZznAhz/MrFnXccop6/lg/h555jfcwGPp2SZz/mx2Jr5LLoEHHuCl/x7kvPP+FseBoX/5KXO++U2cz38e+vq4/vqTmTJlgdFZLe/fD/E4bxwM8atfyb1qboYZ0ZyceOdOud8XXCCAG2B2oqQEROHFF1UH9HweUikTYeloKZ/HUBa0X3XCCXjGQ5VYMhkMGOaEE8TJcF1kbqs9Q5z9KCX8HpCogm9ZSb0cGZH/TYsgxzHGzQDwVOkFVKq7so6t9k4jwwjGcOr98y8mwqscx0rFHOm4w8ex0qNHGyOui2VPFHi+VZaHrnIBxtOoHBXoqDI+YzS0G2Ty2eoh2k4FR0vVfXQ/0HCxSGO85IUQiYSpPWn1gRq7YVzOPGCVvJ100iRIJAxnJ5GAmQlFO8hkZINvb2cwH6R6vxgAHZyQzeJzHGzb70HnW1ogEqGvTzb5RAIa3V1yfS0txqjp72PV1UEwyLRp8IEPwOWXSz3St3ixqQlq5fxYDM8qGBkPv1lYTJ8uRHYVRZx70iD0qgvp6DA9laZPl8yj66oq9kknmXZO7NlDrN1LP4+MKOKr9l4UF6HkyjxxHFnIhaKPQChknrvPLeE4frP48nkIOo64xzqNnM3io8z+/T4D4KycIxpkpqeM6yJqhJUP8384jgXcOlod7604qQDlsmQd/BMmeJeontnQHp8BNwSdis/P52UuR6OQyRAOlYnH5Z6U400Uo030dMN1y8ti1fpshtsWYMdnSnQSjxOLScZ4RmSY57aFOXRoJhdazwr1Zd480xMuu17Nvc5OuPtultzwGO973xskk9N4eO9engVmI29rbn4TOI3rlpXg1rWSbzz/fMnnTZsGra0sWQJ9fZdy003A6tUEgF0338O2U/8DuAbWrGET0LFmDZPv+jTd3bKsOjpgrm2TBUKZDOl0A5GIypIosn05MROQ+3XCCTD82mv4gNDChfT9PIfryjw3jt3+/bI4tXNHxT6SzRKLiWOcyUCjBga4rqwdtc5sG7OX6C0gFALsogGxuaEGBTjx47dc47+FQjCs0KLlWCMH9wjwzm/buK6gzfXc1RkyrTT15puyZwUdjPh+oCXCwYMi5N40PSTOS1GavlZGcCMjeHV2K2C2tkBIPEY/LqFQ4I+kxd6xEZ4ex6ovHItAezgi7XiP1VH3ky++yO9+twXLKkgOOh6HmhqtqGQ8DaNtpyM8tcNVbmwUi17LGdW2wOTdVeyvPX5TFNYbcUXlN5NBzp9OEw6VKRQ8hOW4+s+48NGjLRy+21ZXy2KxLI/nkrPCDOf94nWlUh5GWkVZJsLVIBT1lRIJ9WHnny8rv1xm3jzBF9i21B0KdthgzxuiZdrb1e2aNw9fezvk8yxeDOedVyOX2dEhG5vjcOKJXg8xA6yJNAoks72dsJXjC1+AT39ajNXQaRfKL5ddBqEQwdR2rpg3zF/9lVdbG3SnSqg3bx6EQvj7trJkibxUV6ciuUsvFYvd3AzJJO95j/w9FpNbPmw3yA51+uly4lQK+vo4/XTTdFrqTYkEOA5+SgSdspkqfqvszZsj5Yf+TON4DNuRjrcsGBoaAp+P/l27vA1U1X5GRz19UVxXpqFCYIVCmJob+TxzWst6HyabVer8/T4j8h22cpJQSCSMJiTIOYy/2dIiz+ullyQSLBZN0wp6emDnTjXFbUn53347jYiW5qpVAFOBNxjO++XLLVzIwKzL5BrXrYMHHqC1VZ5vby9w2WVYQFNxOxACnoYbbqAM7Orq4tzML5To+DYBxcybJ9e8cSOf/KScZ6i20TS6S6WkxN3cLJy3IEgvyEyGE04wred47TXVxHXSJEyxTNFaHEet52gUH9KVw3EwLcwKrt90QfBbZS/Cw8O65PN4oCkVMdm2RlTK59TWqu1i4kRREUIwDXp/MXvhYZw/DVKyLEmyDKZ9RueTdJq6OjVF9CZo21RXV8xFvUdVpC51ValQ9Ek9EnFAq8YLrbxzDV6lN3o8XLsjpTKP1wAeMXJUkMiamj2SRlASK/Pnq2MSM8F1iceVEGxzszFOPrdkUFU5gtDcTMAuK7KnPMSAJSrwhfhMsCya7EEMDzoWI0dQ+tfF49Dby5zIAPE4bO31iVfqetqWPrdEyQkz7AY9ok8qxdzWArNmyeaybZu6Ft0nKJ83UV1jVBouamFgY3TBEOWZN498XnqyfnnxdujpYXjVT/m69RU2bpS94rrst6VGt2IFB+qbjLfaFJVIsa8Ptuab2BG7mMG0j79ZspsvW/8kJ122jIdXPGz6xH7jG0hHV+UZxuNSkym1niNGLh6XVImG06XTjI7KZvLmm6rIPWmSuJgvv2wKb6+/julrZ4r74tpSbpltspzNzTCzuSTnV6mv4cgMDh3yeraa+pymWyhEH83NZDJyvbo3nj6mhJ9cvsIT1o5JJCLKJP+LcbxI5T/FMQR48808WBY/+vGPaW+XDBvLl0M+T0PyWZqblR7lPr8ghmtrZYPM5wwvEddlMC3cUj1vTd/cujo48UTKmrgM0NvLGWfI7R9I+2lpkQBs6KCawyedJJ5HPk9Pj8w/brqJ++94laVLYeHCKbz0i12kPvc5HODCiy5SBi/ClCmnSTbw+uvBtmks7oBf/UoAM7/7HSBl63XrgGuuITx9OmQy1NV9gFmzLoNikZmIeh01NUqh51XJVjz0kHD0WltJJit6zx08aKJinZEnncZKJPC9//1g28yYITqwIBlE18VrvqgMhlI0lGmjrJexN8UiJYR3W+k8GeS3ckgMYE5DMVVpxrKEfzp0MKjadEGjM4ye9Lm8apdW4ewbg+c40mPTFgdOi13U1elo0jaekVasMXuLbVNfVzZ8n6F9fg98VywaFPCkSSLT53NL5FwRy6+x/gLbA73V4qwch4NVDn/9aOeufI+PskCra2sZHa1lwfySuHtLl7J+vWyGvjU/gnye7m41MXWlWU00HXAFi7ulMWZKQavVH0pIaizg5kTEWKUoZ0aHobtb9PSAHczgufor2OU2MoctzO7+AfT0kCv6OXBANprt/Z7o866kT5qsFouwbh0z2U4sJnO2vx8GnRkU5i2Q1iJ9W/And0hEZ5dp6HuCmWwnlYIfrPbxYO8MBkKzxSjcfDOzkw+TycBjqZnQ2kp4089YuVKc7Y4OGFx6o3zIhz7ExL7fMnmyMAse6wwY0eT6epn3rgtb01NFKTefh69+lSucJ5g8GZ5++mX+7u8QTcO+Pnj6ac48U7KbfrdA2Qmyvc8nDXI1EiKZ9DxdNLAoKvA9LcbY00MigZF2SibxtAdfew1fZrdG0YvSg6Z+ZDKQShn0ejLp2UnyefEmdGEvFBIlG7eiLqonRDaL3y0YLzuX9wnxXIXNmrf05x7HI8RwrDTnhAl+GB0l0dJCMilRO5s2QXs7Wx1BPd5wg6Tutvb6yB6o8R6EQgsOI9JtEyaAPzOIr/t5Lm7ZTZM1QGHeAj74iw+xdCnMcLdLVH777dT/4XkiEYnMPvc5qanWD23lwV5ZE2zaBCtW0OTslk0+meTqq2FkZB8bNz7DJ+5oInbppfQDq598kntWPA9Y7NuXoqcHnupv4FOf8/PNh4QC8MudO1n7/e8zu/sHjI1t44037ufrd4fFwcpmPeH0TZvYgUpFd3Qo3/ACWfrf/CbRSy+FkRGWLxdcTWDTw3Deeezq+ASbN0v2tKWFcfJfNDcb9aVKCoJpLKwmbF0dpjWWnpuVZHSdzdS9s8y+o6I57WiYVHssRinWpPEuhPMD1E/Ikc1KGXywGJaJ3NMzXjeYw3p46pS+ChV1rVCV4L3skiVE/UwGxTMWD7tQ9IQvJk1StTmVRdLRpykBKRpFPg/5A3+hWpqV43iM1/GMox7rupw7axbnnHMBth31djmVkjAPq0JRw0BsK9KJ5gFRAS7SiXHwNDAVZ6mSL6O5dyDRSiqFTIA33pB/auiJoOdcOq06oFcUBXUKo1is4LPoC1KfbVKeFb3l8nkFKlHpOJJJWlqEW1eOTDXG4qSTvDVpup5OmMCkSeKxzpsnYMmNG8WB9mcGaWQA21bpntZWubhNm1QEXS3ppFmz5DOmT2ffPqRV0Q9/iK/7eZJJKf0MulNNOlDzhhIJmN1S9hrLLlxIadGV0NJCoDhMQzDPgjbpIzaQCTDcerG0XAqFiMVEYimRUKo3FZGbousBqtVSaNj7DK1yrFByGlPzR62EVOSsM+AGrVYsVjrlf9ZxuFH7U4BcgjSNwNgYH7vuOk96TUXMmgjty+cMUrimhnGACBThWDtl5WiD3ODeXti40XD5enpgMDRTQrl0Gl54gTmJAtGozJtfbvRBfz9Xzh/m5Zfx5ONCIRZ0lGHFCnx3fRt4CLiDri54+NFHKSFtgj675hzgD7z//TFuzHyZCzMP8t//DTffvI9fxj7Bey+5hEag62MfY2zVU3zmMx/gzjuh6rvfoup9M9m27QBPrdrKt3/8Y54CrESC+x/w8dprOeB33HffXraGLoTeXsqLFnHuf/0N4Z4nGGi9gutWzWHFCrkdH/6waFmzejWDKlX5nbv9bNggYJtEAq5s2UF4w4+kCXEoxHDLhWx3zqGrS+bW7NCAGHzXpadH7UkKRW54espIOw4mwtq3b1zlRdSHFE0kmRSRDRzHOKZGZk/Vsd98E8OnVVx0IzJfsMPSTkilREFKJiaadIWcbrQaikXJ3abTBnin33jokALwKbqDaT0UmWrSq7Ytccn4uf4OH0eK6g7/u/53rFTl0VKhlaPy+KqxMcrlsocCUh6MSkOL66I8jXG8Ftum7AQNQknH49qr1ymEYlGhPzXhpXI4DiVHxHNjMVjQUea00yQ645prYMIEgqntTJ7spbt1I1jbRoSnMxkJp5qbcV2p0VVXK+CLW/AUZCMRUSGnIBM5keDNN8c1PjApP60uP2GCulfKWGoPTFp+9BuJhp4e+VWnNgwmRW2Ezc2K9xMKycZ1/vkiuUTQa/iqrMzever7X3QRRKPEYkrc1skZbzad9jShDX+wpwd6evAXc5QtPwU7zKEah5xSh4/FIOzuNpYskxEwqalxgCl6VJJzi0U8kJB2YpQXbVkYYv3kyQpQBKYdkYZzW5a6j6rof7xG6P/10MRzRkc9f851JSVnKTK5HTRR9tgYgla1A+OEF/Q/X/8OyOcZbr2Y8opPUCj6WLHC6wagQVKcdBJlO2Bqx9u2Ic5Rby/XLimYDhu5op977vVJatxxgPcDJxMKQZM6ZQl9KQUeeqgoteauLpYtg1NOmcJZZwHbttEAtJ90EgOXf5qNG4Xi0tVVw8c/3gyM8kRmNhcCNsCBA4ofNgKczJlnnsDs6G6wbXyXXioGub2dxmiJxYu9nsTV1apWFovRoNAhzc0eNcA40bGY6eyqS+YazV2ONcqByunWdA9/MSfrUKVCxyEik8lx+Coz1MKcOFHmZKHoY3RU/Ligo+ZnTc349xWLVFfjgUsUgj2bFYK6j7J53sbhU3y7SESleW1b/eBhA3R9rra2Yv+sAHMVi3L+kusjFPIEO/R4xxq8Y8mEVY5KE3as2t7RUqCHn1/fWx9QVTVGSa8UFdEZw1VTA6GQp8Kiqf+ZDL5igTffrACZUBHhqTzAwYMVnpgahseWz9PfL3UEywIefZT6oa0A5CJNUhhrbqbKHWFGc9kgtQzsu6dHtUUWHcvOTqH61NSonHxnp+GeDWREUsiEgYqqkEx69DTWrpXzRSKsWSMNVsv4YNs2wsVBHEeO7e8HslnSr70GqRSvvSbpqFWrBLSyaBEsCD1v5MLuugvuWSMTPP/kk/Dzn6sF9YI0gM3n5cM2bKC5WQzZVncmW7ON5PN49AMFVrBtuYbOTtHiNHXVzk5Ytw5f17OA2MfVq+GRR9Sz3LxZXti4EceRz1m/Hp7tC2OKtI8+SmN+uwHnbNsGW9IKsAKy63d3Q28vfrfA0JBc1iuvqIer8jiVdKRiUWom5VBYXnib2iW8FbH88HHENTI2ZmpAJo2VTBKPy+8vvgjEYkJRqR0RrqmLMYxhp0QyqepisRhs3Eg4u4sNG+T9723bzbnnVtR7li5leN4VumkHN9wAX/pMgUK0iV2xC+WZPPccOI5pnKHJk7Y9BVhGa6v0wQORx5KERBVQYqjtMli5ktZWqRfXP/Mgg+k0eYBVqzj55BQ7d26Wbu4rz+OeO4aBInffLYhPbZNkvg4BOcGrLF/O9p07oaWFr2ycywdXBCjh54ro89xzV4HLL5fp9sWbfbBkCcWREfjNb5g/HxqVDevshC35GTJ/FdXAT8mU85S8qPFIq6srjKTjyPOrUH2qFLjQmR5DmaoYEyaALz0ovTWpABWpHmThUJkTT8Q4wOKcMu6ztPM/nPWZ0raJ8PJ5fMXCeI6ycqSzWamH+1IDnoMI0mbIDZjsV8AuE0BE7bWa0fi5+w4d/5O05fEatrc0gpZFVVUVoMRJbRujhIqS31GwIeNhVEYDFZMLMJykbJZxeWqtLKAjvmwW0/Y+kZC6mJ8SnHceufhsXntNta3p6pJd2bLY0e9j2zY5jUlBKPIzhw6ZtJn2kgt22OuYmUxSW6tksvJ5OWc6bXLzqZQsPiIRMTzr1mFZsmCTSWQ3TybNd+vpAdrb5emkUlxyiVzTyIgc39WF5g5AVxft7epWtbRIPSSdVh7sQcnahkK46lz+zKDhCmn+XjqNzPieHvjVrzSQkt/8ZkRSojrqymTkmBdfJODmGBmR9//ud0o+yrblZN3dNNjDRlGsv191Pnccg/2ORo3TLSjNrG9cx3P27DH1vnxeMja5ogKjZDIEKPwRF68yyvv/YvwpBnHcHmnbZs+qqQEcx0tWKK6lKUapjtj79ql7qlCLVyws0cgAA8WpPPecx+Wks5NweruJGnp6IOcGCNhlT9ZNcWF0JkTn9kTg4VW++92ieFlAF/rHEeBl2awjEfr7VZTw0kuUUZGbDqM4WRpu/P736tk8wwMP/AH/+9/PbqD7tde4cWUZiSNzYsw//WmaAfJ5Fi6UdL4/PWDa8KRScrqeHpHJ8wHDySSBjQ8ax7G3t2IvaG6WSbR+PYH8bjNvA3ZZ5qwil1dXyz0pFH2e86pSzKamFwrpZvMG/KIBbCYSU6mHbFb2OdtGFrASrZw0CaOdmc0qEWz1Zl92mLo6D/ypa+F6PmgLaBRa1H0aR0pV++eUKbIuCq7f0LUM+EaFmpb1F5jSPNo41uI8UvryrY7XQ9e3fNXVjI2NeeKkyjU3Cz4UgpoaHEepQEixY1x3cFOz895u0l9GpaDi4ZkDVTuVSASxOKkUmYwQcAfSfpnBqpbX3Cyvq3Q+c1sLskASCaivNx6XorsQSG6XSEQVu+qnlKirU/B61Qpn4kSZwx0dkk4lkYDPfAaiUdraZNJv3ozkSTdtoqPDMBegpYWps2ZBfT1hRKZLOwXxODLpFZJU2XZyHVfi/+hHIZ/nrrtg0qQlnH46kEhgXXQRXH89D3cLT+jilt28N/Qs1y4RiaLy4islhFy5En8xx9//PVx/fY1sgPG4GNj2dvluEyZAOs3kyfKVmpvV40kkBPGn9KliMXnbvHlqgbe2ys2IxwlQoLXVYyFkMnht4GtrZedXkHrV2EE1pI0aZ8dvlU1K0wT44worb984fD0cDeVcOXTH82q/f7zBU9mAfF6ltjSKsFz2jLcmXIZCnHYaXH011Fftptw+l6+vbuCJTj+sW0fjj7/GkiVyr4Y+dKM0WCwWaex/guuWipNw773iYJx7dtmUCujpoatLpUMTCbjzTuHP0c6ZZ9pw1VU0ATOBhvQW4FQgJ87oP/8zHR0qOjz9dGJAcyLBQPxCYAJnnnkK/rU/om//ftXwMQjcxk+XPMhc4CmAhQs56SQbCBoEt//DH4bly702WK4rKYcf/5jmZnH8RINTiNJBgIMHCYfHlT29Uscpp8j8ymQ48UQ53UBK7VmZDPm8inSUY11wlYPV36/9WhMtxmLy/tFRTNaBSETuARiDorY3I0ah57XZwxQH0HXVfVcKGL7MbgPM0nN7zx68+Z/NGlBO2QlCNErZCco+q71AlR0o46kS6QSaOXE+T5DcX05KU49jLcS34uf9Kcf/8WswMqK0wMwMkR8PHeKPgQb6B7WLVVdXbGYVdQw9m7NZBS5R71NI7nFF/n37GMfPikSU+ofrCmRRQYE1gfvgQVX4VTBvpkyhvk7qf5qNQDxuNPi0d2W8PXXQ9OmyxzuOimASCWng1dxMc7N4yvE4aLJZS4sc0teH/LG52cBC9d80nShnTzUwtFBI1QhBDopGaXAHWLpUvusOa6ZAx2MxmpvVsTrXWiEITUuLCW/jccGftLbi4b8TCbFgKh8ZjXqdW1wX+SGRkHtqWZx4oteqxixwVUQp2wHjrCg0tvfcK9RWwMOouC5eAUu5v363YN5bxufVvN6GcThg5fD/36p2WFMj/fBGXNdLzR+WIpsyBS+lYVlG1UNHAwUraETGtXuvHw3NzXDppbz2mjhbhqitd9S+PpNqTqWQ8CifF/RkLMZZZ1XM7RdeEEAIo7z44ja45hpiiKgza9cyceI04GRJv593ngetX7hQOhKHQjRmt/J3f3eC9P1LJEhccIHMQ04GLpJ1CMQBXnuNFStATCoy+VasoNx2Ds3N8NkbyuIdRqNw9tmmHK6TCr66Orm2vXuZMMH7WzareHg69FI3etIk8TOzWbk2TY2qrcU45FoAGtcVYByYLERlHdDMR7eie3nF3DWal7q4qPc79R69v5k9tcKD0/d1nCN/WJsj/Xk+t6RLecag6YSHrgVqHt64ffYIKK93vMF7K6N2vIbtWJy7PzrestiXy7F/f9b8XhmpGZBKdbWXvtaTUhksJTA+LlVl8uaKtGlO6LqMjo7nv9m2ShMp9yYWk88dzvo8rp166JrXZCaNziVEIuxK+jhwoCKFpq2EculKdpC9eyuyCo5j9q1QSPHMUimBJqsUkOERHTwILS10dspk/MAHkGgrk4FTT2Uwdo5B62sQTDCzS1y+eJzubjlXMLlVIlnb5qlkI2vXyuszrF1SO3zjDc+ORCLQ0cF2dwbZLMyO56Qw1NkJxSK/+51Idu7cqe69xnC/8YZpe3HggNjNN95Q37uiYwKWZeqvppmsqqNoj1sLYOgehuYZj4ygO3JWpnOMI6PnkvpXkf2WrEKxwNsxKkFd8Kd3TKhWaQ730CEv66rmrXYKMhm8nXRk5I/SVAEKWjPBgCmgAgDT28vpp6tsgNr0SqGp0N5OuXUOkQj81V+pJERlzuyMM/j5z5UzdNddMGuWNFdlO+9//yxob+d5oAHYdf0/ceDADiAn51GSfUuXIkLjxaKRC+vrU3Nco3QtCzgFuIwFzbsoAxcC/OQnbN4MdXU1kv5cswbuuANfzxZ6euDf7vZRXn6dGOOdO2lt9do6RiJyr/wqq7N/v5eJ0S21yGQ88r7KDNXUqO+bTkMsRne3amjQ348vs9srw9TWmiipUmnF8PD0D5ZFbW2FMhTeFjIyUvE8NbBKFeb0/Pblc965DstSWJbalyq8RB24BlxRjSrhl7VUAQJzXY8EPw7Brtea2pPHxtPw3vkG762iu8MN259CSzjW+bf297Orfwf79r3EYEZ1BnjjDVpb1QOMx00xxzwMPUsqUj2Vbo6hA1TWapS3pGs+AxmB5jbFSiKmqookeoMwUaJtM1ITYGiPyJhptZNAZkAOnDWLUnyGBjAamPE4RKjlad/l86JcUoo1YVmqk7g9aMSraW2l1H4hyWSFZw4QieA40jAgHpffaW2FyZP1rTBZLaOcccoplCNTDReVbFYOeM97yGQEQLdsGZg22eed5+X8wTgAp56KVwxoa+OJrgD9/YJqv+ACMGiGkRHhTpx5JqX4DNOnbtYstYHm86Z4rrX+1C0WMe5k0pBkUynvI6dNU5uifjiTJhk4qm17qWHAS8XYtvD7lDceDpUNQbtkvb0R3p8KXgFUfTYLVVX8/JFHDH6rMnUPnjNXUwNUVRnYuh5lO2DQwuB1vbdtzPoIWgVJRav6U38/DOaD5vFMmwa+rKKCZLOSxWhtxXFkfmtlnksvBTjfzLcGJBqTxzQJmCIOUTxOOLtL0vwnnCBzcHTUqOgIoRxx0GwbyAFB+M1vcFE8PLSu8x/EuevvhyefNA2JFbtCFszoKL7MbrMlBChQ0hYoFKJQ8OQFbVvdJG0BVSFe0301sEOnL0MhzL6i63nU1Hj7W4VhM9GchkZmMga9qWlFtu2prQFGn9eIcqjn6zje52JZql+d7V1HxZ/1ZmOCM3VNfkoeB1XxWCuHzpYZlRe9jvD95SitHK3G8FaUgyNX746u0nL4e/RxU6dOhVKJ2tpRD2zx29/S0SFO/HBEesudcEIFOKViclZGTDoKMw9ZkUWHhhS8uFgkSI5iUSEdLQuzsyrPKJ8XL27fPioIXLK/RqPyUT63NK7Bq96nLUtSTmF3t3xAdTU0N5MjSMAua71Ytm3zGgMEM7tk4XZ3g22zI3QO994rG88ViR34Op9i8MzLuGfzDA4ehNuW76L+a5+VVXP77WwfjrJtm9TB5kQHaQgV5P5Go5QTM40u5+zsU0Koe897+MGhD3H77ZJZ+gT3CMw8HucH68PcfbcC0IRC0NdH8JGfUP/zeyScSyT49saZLF4swd78+dCw6suShlq7FurqeCw9m2+vbWDtWvmuc5pzzMw+i/+Bn8iXjsfZymxWr5avHApBY3areOw9PRCJsKU/SGenxzFvjJXx9W6VnTGfNxIi5XiTqYlEo9AQLRuC8XBWmmSW8Ymh016BbY+Hir8N43iyIkcyiBMnTobqap5/7jmDltWt6cP9z+M4couGiwFJoVVGeKGQ6Itmh9m3T907FRkaz10TRPN5cfKUc6HBxtksvHd+QQCxWjHAdeGaayhfehkrV8LXvgYDbVdyI9/mrrvgv/7rBL69rpG7X3iBOUDmt2O8612PAqP83d+dwgemb5HC94YN8oUuuEAKgYsXk0zK3DzrLGQNTptGOdrA9OlT+OhHZRdPzJpF8OqrIZXik58EaDB1TEZHobWV9evFVp59NvJFXnuNnD3VKLCQTOKfNEkOcBymTDEqbLIPuC6G2xOLsaUvQF+fAuj09hrH2mSc1CZjWuuEQuNa81AsMjrqJaMM2TaVImiXyOdFuGIgLVq28bjqAr9/P0yYQMmRJtQ676pJ8priVMBDU4IBsgvQzrIgGjUArmgUI9ZRwi/RnMqOmcyKihpqaiqSbGqt5FxxTP8ilVYOH4cvyuNdyJXjaO/ReeMTJ09WM6lZFtqPfwyxGA89JIYnnN0FxSKvv17RVaCiTmNqNyoVUInY1JtbKKQ81lCIYTeI43i1p+FQk8yKvj5TrzKIp0iEsuWnpnxINk09VO0E1zWRXDoti85El5mMwMSyWTIZaa7Z3S2GdNYsmBMfpn5KST77vPNMcW5G5lliMYFw37Z2BoRCNKx4L59I38aECTB7cRMPzv+OXGRbGzPr9vC734nN2pppkIW7Zo0hjm/bJuW+L2+8EByH3KJFXLf5Wjo64JOfLPL1zCfEY7/rLq5bPEwoJGu8YIcxIqAVD+3EE+WSNSCTE0+Uhaoch8mTPbSoKcQXi+J1KE6FpjW8+KLacCIReZMiSOt+nF1dgpQbTPu8fJ5Om6oHrbUK9u3DQ6gVi4yMVCi8V1b2s1mv3vI2j+Oh7+jhuuD3+2FkhCvf9z46O9VmvXo1pFIMN5/Dxo0qGmbYy4PZtiFD603KSL4Vi4SLg0QiFSjZoSGvgNXfT8n10dfnIYyH9qvod9s2T5ts0yZ8qQGuv15sVWNxB98O3UZ3t2Q3v7J8gOvr6ngCmH1WFe9//6VAkm9842VRI9JQxN5e8ZSSSQbzQe6+G77/faV886EPseWhhygWYefOf+aHP9wG//f/snHbNshmuf/gFfzkJ3DRRTV86lPA008L1SCR4Ic/PMD99yve4bp18MorZnlu3iwk+8L+/eRfeAGKRXYrnYPTTlORk1ZqV0W71lYxwq4LWvBTpwxHRjDFv4BVMhbCgOPUDzpYnDwZE1kSjVJwRfmpKVaiMSTNd3//e9ieCso+mEyKcD0YT2UcRUV1AsnnhcdXkXX0kOsVxPj+fjXBkkn8+WFyeZ9BvmmSeckKmGyJMeoqG6CXTWnk/0+VVo7mob5VxHe0ET3hBE4//XRqa20vLRWJMDpa0RLDcfTalqGrq5VgFpXCVO2kzO8GdaRSCvozRkagHAp7HD31d11GOHSogi/o842f1HpzqSgquy7j64kTJ5risda0i0TkvMmktOgoW34P/gumwpxIeKLKw7HZaNf+3HPlIzdvRjz/PXvgpZdoa5MNbcMGPNbt668bcWXLUlHbokWSHlq/nuXLAar58Y9B/QKbNnH++XhEe60e39oqQJNikbPPlsgukVCXfdFF4rUrcu7pp3uSTeVyBZ2gQsBWae8a2gGOI7+omqmfkkFfQkWRXz+nQ4dMNA6SgjH1FLXg9Wv5vChJlO2AeV5vV4h3rIzG8dS0/X4fVFUx6/TTvUxFKAQTJ+I4Fc+lMoepQQ1qPhYIGJ+wssdSXx+SPamt9eqt2Sx+q2yy/zposiwkbNAFYYDNm2lvl7cNOjNMinPRIlHMYeFCWoAiCnfCNCAjHczb2iTVXV8vk2b1aho6f6aAVM8I2vMzn8EFArd/GfhrIAfLlsl8feEFJk2Cbdv2snmzXFa5p4fdAL291NRMZN++3eyyZhi1cV9mt2EbOI507HCUVXddT6HH8BGjUUnPFIv48jmT+hva4zM1U4MU16lR129qnLoziJ6DlY+oslivM6vaeOnabDaLx0jX+5Sar7W16j1KzsVPSXrz2eVxkIbDwSXGz9OvKzCUNnB+q0wo5NXwQJ6/ScNWvPVwWsL4T3oHjj+1wH48xx9PDWN0dJTq6mrKZcFmBCvgsmYUi9SExvNX9NB7HOMPh5Bt/m4QT8po6fnn693KjOZmcm6AoNKajEak3tQYKUAqgxtp5ECphlzR7yHn9EZgWZBO0+gMMH9+o8Go2M2NNFxyiQFoBB0JM084QYjPGnPQ3w+uO5WZCZWrUqthRluO+fODpiVZuKMDJk40i335cuDO9TI76+ooFr1WJzuyU5nxqU+JVezvZ7a9gy98YQa//z3Q3Izd3g41NezfLw1gDdVDVfenWQIKDfZvkdRgYi7pNMwM7YAXXqCppYVEImgK/oAnidbRQT4vmSPLEnsctgti6BYtMoW2sF1m/nyRPjKpmmjUFCAH0uIFJxISQDbFStCb8Yym+l/XVA3WQSPUFHKxouQhaWiVBTgS6uzPMQ538A53CI907LjXVA+WcrnsXaJKVfqLOWbNCgIwmA0QiQSgVDLpNvJ5AzqqrRXvvtCxgEBxmA+GtkMoxK5iA1z6aZpiZa/GvH49y5ZdSbEoRnHdOqnrztE9r7SE3ebNRoS64aHvwe23M2/0Cvbs+RjXXPOfnHDfj+lEPP/rr4f587cB87i2+Vm4+V5Yt47tmanMnDVL5mYqxbfnP8wtt1xBVxc85fwTPbF/4tzPjQI5xv5wErefPA8XuPjDH+ayy4rAdxgbS3Dzzdfws8svZ/MjjzD7rLMo/frXXPqNCzn11FHOPvun3HILXGEN86M7RY2FW28lXSwSPftsvr2+id7e5+npgdtvhzlsgdtXy0J73/vY6sxl82rZi2bNgvq922HjRoILF/LGGzPp6oILYw5ksxRDYQLRKKRS1FfthvqpBviSScq9qq8rw+uuAR9p0HbJCuAPhSDv6Vbn+kZMJJhJQzAmlnBKTAkmqLlbwk8mDaGQzzhGJrpUaep0SrIe06bhZUZCIfLWVPJ5aIyFKOPz3pfPE4jY7K/2c/Ag2LYPS2nVHnmuv8PHn5qS/FNBK8cq4ldVVkSVYkNtbUVRWG2UBvGkf1GFWdvGIJe0Y6pzCiMj6ncVRWlUoE750NtLMD9ovDy9HxYIiPCzXTbemm1D0B2GfF46Imh1Zk3+pQKKrLHGqp1xzgozNORJF1XUx2XoEFDN4FBIAquZMUlvlK7+EN/7njiBczKPyc50xhkcajqd116TqGvJEokCtvf5KM27WKLASIQzz1Re99q1cn8/+Um+9S0YG9snJOG1a+Va582jv18BZRQaU5c2sG2T3lT4HjlOw0kTCbZkGiX6RPr41b6+S87jugwUp/JsT4Ct/QF2JWWhzpun6ncaRtrSwrN9Yb0fEonAuafn4IEHRDk7FiPXMpfh6EwKdpiAXaYxlGNms1BGcF1p2jsSJpn0QAkGgKGQRQX+vKCVw2vXR/u7Hm/FW61SICfAI985jkkEOI7q1zg25qHxikU4cABfscBJJ5mMJdvTSsVGyZE1xRV833FkwkQiBhhVocvt6WKpzAeOw/r1yon46lfJpdPs2fMosJt0GjrV5drAq6/ep36bCnfeSfnppymFpkoKvK3N0+a8807CZ53Ce/cJAvNzn7sLWAxsh44Oxu+13we2AD/lgQdk8ewC1gN87nNqav6MF174L086bfVquPtu2LCBJPKdZH7u5MUX++W+qd5+pQcegGSSri7hIf7iF2qr6e6WGmQqxdCQukcqpVksqmaq6ve6OkytWDdtGEipCDGdHteaqasLhgljWeLnNcaUx2/bDBclSi+4fonEKEn5Q6011ZFIykLFwnhagkpruq7scSa7VaFX5roitzguMlR50ylTZIvYt08cVp3VMjxpNd6xBu9IEOqjgU70cccCqBx+7rdKcVZXVzNa2U5X/fzmmxWdyPfsYWSkQkJML0IFSzcerpqE2SzmIU6YUFE4rigAT56Mh3SMRGQGJZPs3y+nDthCui3j0xlNXFdqW8OueNr09Uk9yXHMxDDzSpNNTzoJ4nFjtx0HAsVhgoqU29MDu9JqA+7tlReKRaOgVXaC0N+P//FfcMYZslftiC+AaJR8Vxe1r++ipkZe37xZSjQnnAD+rqekgJ/Ps2mT2DRTq/z1r1U6abdsAI4jb378cSxLqaUtWwaJBGecoZQzenqMAG02K/b2zjsRq9XXB9/4BnOSD5pfH+tvYu/kJkrzF4Bt05jfzlyeZXb+WZqiBXp7ZWN5LD1bSO0jI/D97zM3/SCLF8s93LABHtwUlF55dXXinPQ+Szi9nUB2kDI+dqSDPNvtl5Sd60J/P/VVuzUHW2odFf0BNXT/zz2OVd8+2rH6Z/O6jvDUGjCb2IQJFIoCe9edKnIEIRCAfF4MVCiEXiRqKkvrpVhOJm8iIfD7YpGnrIsZLgbkAWzbxp49XhMSxWuWdaGhnqph28KFqvZ9ww0Ezz6bKVMuBSbS3w8Xq0sdAGbNukb9loKbbsJ3wQUaKS+T+vbbpc6s2gzd9sqH+MrKHGO/u5hE4hFgC596zw7NuKP03e9y/fWfAa4DrmDKFBva2rgQ+DIwtPFFEgn47W+v4fXXP8KqVfDLrjA/iHyRf3O+CLffThjI7dzJ6tUwZcq7uPpq0b7dMu+z0NWF//Ofh0OH+ETHLtasQTWnhdzia41j0Nqq0MYqV9jg5EQQOhYjF50hxlAh4rTTYdLxOjuB7D9aGUmpA8qeePAg7NljnPgABbBthvb5BYSiTqiCQEnt2gHz/Ey4l8kYPnA2i5cVsW1qa+W9/mLO2LkS/nECoqGQLLcpU+R0+/f/BUmLHS8o5WjjfxL5jTOu5TI+n49yuQIfoXLgkpoMQU2NJxEGXgxfSeS0vRSm41T+UJHSLBbNnBgdBSIRr0GligCU0IHRXnRdqCodwu8WTE04FIIgihNTVweRiOmgoFFXqGJ7JVVizx61iKywIae2tUGTNYCBlLW2MpAPGzi58fSTSebPlzRLJgO0teFMmmRqWao7DLObC9S/8qyspFiMXKhRt7HzbmA6rQxeRF5SjSeZMoVUyvP06e+n/tAAvuQu+b21lQFbKBhKTtGjEkyYALW1piS5bx8ex0eT2HUEtj9gMmqTJ4MvNSBvmjDBcMe0g2BqENrj2LdPPs9xjAdqxAd0ylKBlcYV9HVm4LCU+J9jHM0xrPz/eIbOdIyNjTEyohwn14U33iBglUxLQh9laYdVWdjWPDZFrbFtCOQFLTyQ8vHcThWJ9PYyb560pyEahY9+lOeek1NogYKZCZXyrKmR+zY6CtGollKV0L6lRfHwPs0dd3jUgYVUMnIU1n7/fnxdz4pCyv798v72dujo4Jln1Pfs74enn+aSSwDO5vTTpYUsgP/SS1Vk9jLQwL//O+S/9CXSgD+R4Hvfg+9+dzff/758pSsSO3jvvJyn8GPbOEAwGqWry1A4icdhTqIgnRKyWWhtZYfbZPoxx+NqnQNEIuYW602gZCvHN58n6JQFc2Dbhsdn6CCZjPEocgTJZsWHqKvDSIQZgzVhAkGnbIwZluWpnChDa1mM69dXuW96H+rZWfOLbXs1OsvrwuCnZM6/b58HaAaP3zdOuJ93sME72oL8U2t6leNP5SCNVVV5mUuNsaUCtHI4CgrGIe8MR0WlMM0GVwlBV9Zj3F6nDGsu7zMKImGn5Gllogr5Vq2BAodDZXzpwXF1L5AJMXGiIrJSkkKYkhAjk8HvFkyTxnxeUh3GHlaS/yyr0tkal0MfHfWAiFgWpf37YXjYqLhnMmqRaBfNtgnaJQNAq5R1kPPXiCGcNUsOSKdpbVUGu4LAWo43yXepqyMSkR91t2psW3bJ1lY45RQsS3h7p59ekVrWu4dmAuN1+YnHMXwwEglIJMhkxBAaTqHO5Sllf31zdPp6ypTDNAvVc9dfwVcsjC/0vg01vOOh8hwJ6FU59LMuHDzopebVBgqeokyh6PNQwsWitxnV1TFcDOA4ijCtLJ/m1g3SQC5xjiCONW8yk6G+3lOkSqVUGs62PUdIISxbWqRBh0YsTZ8OcFAU9NQlJDGymkC/TBa1IyeTco309xsF9tZW+Yhc8xz46EcVzWQabW1g7Oa+fUpA+Q+A/OyEQlhAoa+PT38aTjlFNEJXrYLt7gxwHC5sL3HdMkkFhgGmT1ebuWt4s/T1GTQ1yBpSgG35u65/KS3bdBpTNDZTSuUGa2owjrZ2tMxUUwZHP+OaGnn+4/wvn++P56bao1yX8aWdivlSCULWaSRt98zeWHFejTQdx9tT9T9VUTJYh0o/sXK8Yw2eHm/FmzuaATzemt/Rxv5Cgd9v387o6Pinpz0L7c3rmhfgoe04jGxJhbdTka+unAw6aqqulmMCtrpOrdNY9PrjVRobk5JRhq5ghw3XT6cwJkyQtbG93+81aNMLBsZFLrrEpxUxjIXLZAhaBWMMbBvZvd7/fjZvFmNyxbxhacWj0qUgzIJEQjWfDc309LwyGVpaVDPRVEoMW0cHjz8OMCrK893dYjVaWykWVdqqr89w4pJJTMdzTV00Yrl9ffKMTj2V4ehM07YukYCJVQU5WBUqSpEGSvgNEjASwat7HDokXCFbukC/+aYB6HrEYO1ix2KU7KB5JpMnM15c3PLUVfbvx2MAV7quf+ZxvA7esdZFdXU1jI1xUKU0TXSrwgBd5t2/n3HkeZP6V7uTNozleBMkEgSKwzSGcp6zpOX1AVIpM291mTMWA82L2Nrrfa9iUTLY3HEHZLN897vrgO/ygQ/AanVMBPj+97er3+ZL3jseZyA210MnLlsm83PlSq5742usXCkCLFUTd/LQQ9/nlFNOZu7HTqdXf/C3vsW+fXuBVmCUz31uFFatIgOsAeo/fgWLF8OLL77M5z73Mrfcor7j+vXyPXp7xXgWiyr6PEBPj+I5qqiXTZugt5diUbL3XV3qFvX2yj/b9sSmVcRmupKruWUAbWoDMU6Y9iYyGcJ2wUR0haLXwspxMOWcQtE3zlE3e4+KEg0GAQzGwCB11YaXycg8sSw8WogKHGpq5F4YAF8FinOc8cSzhX9xKc3KFMzx1ugOP97HH7cOOtp7LUvO/bpKUY2NvSHE8/Z26Olh3jy52eWW2eC6xGJqskWj8pRU/lBH8XqiGa9KwaE0QEQ3NPS70uhyHIwdvJSZai2zb5+XPfP5JOdt25LvLrk+ya/ryCQSMddh0h6a1ek4JgrUhlSnP3XNxPQbikRg3jwGMgFaW2HFCpET2jH/E3x7bQMtLfDof+2WGsiSJbBxIzlfiMWL5VjFFee11/BQj67Lhc2DXGg/Lxf3ve/x3Pk3MjoKf/d3U/j2napYfv31DFhNol8YKRjDEolAUyQntcpo1IiqmChC51IV5NqkMouKSKvuQckKeJ2bETt94okKPaldUZVSUYL3RKPqWrQCh4qoSyqBFnTKhENlpkxRi1ShZ4ezPmMs6+rwWkYrKzuY/v9uuR5tHUn0kIbqau7+/vcN15EzzpCb0dtrtMz37q1I06vUuJ6Aer739SkxYT0xsxWdxLW3MW0ahELj/IFEAklhNzfDlCmSpAiFYN48Wlpg5UqguZmB1U8AjwIf4NyV55nv0fDf/w08A5zA5z8/RagIixaZ2pEpPvX1SSpxaIiuLvjud1PAg8A50rJLya9cC2x15jJt2glAO5I8PQCHDlFC2hGRTIrxYTPwjKjBrFkjRuyll8C2iSUSsGwZjgOTJk0mHq+I1rJZyZYozps2hhMnIpYvmYRIRPemNnKCb76pflZp/VRKcUZd17QRymbVM3j1VchkKNsBk+HXTX1bW6VZs9Yy05oWvmIBXBefW5Kf1XPTa8hfzJn9Kp9X9X7HoWyJ+PiUKRWybSq9ZFSJKrNfmnxsWV4PSjxdA9sGu7oCZ8FfAC3haB6qNmJHOu6I0OojAFOONf4wOAjV1QwO7uTCCy+VF6NRHdhJ+sWyPOdce7JqgzQ8EcuPz/Wkw3AcQ9J0XQ+WXrYDHDyo023CW7Jt0OzbQrSJbFZUO8r4PCV2xxmXeSSTlVnrOBQijSS7ZGKccIL6eyor16rIQGV8RCLjgwyNvWlwHOk3l83CpZfymxelI5DjwIx8PzMiEc4/v5Hf/Q62pqcye948QXRs2sTEd19Mb69nWw1QobNLiPZOo9AKoq54uxMnsrcKo3JBd7f0O5swgXyzBqQFWLhwDuH8bhpTPbC2U77ru99NMgP33TcKjNDaajMzm5Vr6e+n6aSTSNZdyObN8FJ9kGi0nkKihUB+N/7Nj9GQSskGeOml/HStj54eiMf9/M2KFslFbd5MfUcHs2ZdzKZNOsgMMOeiizwme08Pfl3ci0YZyAaFCmJDS4sff3Y3YdvGbg4aB8SKNuBTG1vlZvTnGpVr5HhQmkcbIR3lV1V5dcnMAdno4nEyGTFI8bjalFTBuWhDQE0un1tiZMRPdbVq+pvPsys/laZogXD/VobqZ7PLbaQp/YQYg0SClAqlEgllSHX3C8sShZuhIYjHcZB5lrvpNlbfBVVV/ymIyPo/MLerS3hxmzYBNwO/4tFH4fqff5oZ2eepf+ZBr3XBu98NHR0MXP91li+H00Zg7NBUuPsEWHYSn7ge5v3XGLf2fVnm7PrbGFw7nwczF3LVVacxfbo4p8uAyH/8B19OfoIJRXjzzU8S7HkKsg9D+zK+eOdUHlklDRTCialw001cd2+I/75iDhMnilH75o8b+NLatfjvvhuQ+l9s9Qwef1ylb6+/Hs44g1KsibPOkttCr6Qwo9EwuDa0tzMcmYGdhQYGoS8JrXN5800VTekSg9qsNMfUtqXU/+absGB+BHI5ePVVattmesbItim4fmzbLzOrWCQSCXioSeVomlEs4isWiUTCpFLi9NTrmoclknTSmDqP40z1otRYjOFigEOHxFD6KeE4fhOBjlk1h83pv5BxvGjLPxVqffhwXTnvWdOng9/PiSde5DUajcU0ml12Pdc1Xo/nckjcrSM67Q3pCENbABPWq4gwnZaJHHSkMK+Jm8D4MF95Vo4jEV7J9ZnPy+ehEGoQC/PiiwSygyboPHSoogCtQ7l83hg3/T1mxEtm4xoONQmBG2DdOq6+WuzLrbfCQGQO3H035276Gm1tsv7uyVwpKjCf+xzV3c+xb5+gMF98sSKF8cILsG4d4VCZO++ET9zeKK7kRz/Ke9ddx+LFkka6dtU5Qux74AFm9v5MaicZr7BNa6sUZRIJeOUVPrikxEc/Ws2UKbbsXzfcIAr41dWwbRvz52N0ULV4dCk0VVzZ2lrTAO/UU8U52L9fpYDb2sSlfuklZkaHjfRTX59S/6hI+fLaa6bmokEylc+QYnEcnSSflx5vOvwxShZ/pvFWwK/jWROuq0Aro6P8n5tu4pVX1LNU/MwcQaOaEbBK8t3KZbAsT1FGhWqTJkkGo2wHjDjDcFH6DdbXDEvkEgoZlrkGuSh8jPygce861Eyl2LBBspnB/CBfif2Au++WQOrrVX/PgtZW6V33jW/wn/8ZBPbS1/ewRFGPPy7PvqNDHtbPfw7ZLJ2d8OST+yRddtNNFD/3OQp2mO9//xd85CN7obubHz39NOV/+Aeeq72Qq67KAUOi/7p+vcBJQiE2bxa7GCzuFvhwJsOO7FS6u2U9hkNlinv2kB8ZgRNOMA1V29vFDpUTM6XWOHEipNO0tEgN2nVh2GmEU04xYgiWBZqQGHSHTbRX2Z8Q1zWC5472EirALBUJDUCmbK7oN3n5ujpVc1eZE11C0JtIKOSJfxdcv6EXGLR6KkXAKlEsiv6E0ZdTAUAl9mF0lHGqVaZaZFn48NbQX0w/vCMRYo/FK/pTASlvVdMLT55MS8ssqhRwRcuVaFQ/e/bAzp068+ClRIxlqjBw+TyHDlVs1mD04XRhQ6slafc/6JQZGYFC82wKzbMpFtXfe3qgs5OgO2ykslIpSdkdPKhqQ7r29uKLxibo9FAhPlNqFe3tUitMbqcpIurxDZGS4e7198t+sMOaKYW2TAbfv3+PW26R83V3IxtFXZ0pmm/aBMybRxbghRf4wAWDNDdLVLhuHfyytxGuuUbuyb//OytXypzPtV0shL2XXmL5cnlt7VrY1XqlAFf6+rhiUZlFi5SnmskwmA3w3P6Zkstqb4fubm6+2chvCs/rIx8RYc6TTsKXHuTCeWXmzfMI4ZkMYgUvukg+BzjzTGEbXHCBWn9tbfLCrFmQz5tIprpa1Q90dV+7tgoVoCN8Zec8yZB8Hj8lQYkicyfnBry58zaMY1F4jifKsyygqooqq0IwWHnfBw9WgHxQ6bgJE8CyvFp3bS0FK8j+/fJsfdlhcF0aIwXC6e3gODzWHeY//xOG43PkJHfdxZUdOebPl3M/9xzc/5BfnpdtszU9VX5etYq771ZrIxKBVEqBZp+RmpnAK+kFros8DEwHlMLLSScxMOsyvrhpgUTya9cyeNVVfHDTdXz1q1P44Q9H+Wn7d7BXrVJGPURNzQnQ18cuJFF57tllBKX5NPfeC9x6K02TJsG6dTy7ucTq1eoerFzJltbrWLtWsh0rVmAiywDAtGkcOuTV9k20r9DgZLP4KXHwoMfZ1Sjuk05Se0006u1D2SykUkyeXKGGopwzy1L0J20NIxHjgGsnXaPCs1l59uzdK89Nn0DNVdMlo1gkYJVMStuyxJcYp/OpvBfLUopSdsCktR1HOe+OYwya/l1jGww4MJ/H55ZwXdVirWK8Yw2eHsdakEcCshzp/f8TZGdtdTWlUsnzIKqrQaUmq6uR+DoUYmSkAhKsRwX/DTAboEEmOSJJVvn3gwcr4N5KMl0bSe05V4b5BTtMTY03v2tqxCsyRdxslv8fd/8fJ2Vd7//j9529drgYZodhHHbHdVzHdVkXGnHBVVfaOBshYZKRoVGRkW80TnE6Zpyyjqc3GSWdyDy9qTjKW8moKMlIsUhJOUq66AYrrLjiuE7LsMwuwzIOw3Axe+3s94/n63rNLAHaOfX+fOu63dCdmWuuuX68Xq/nr8fj8WR4mMOHZXI4GVePJcASB7SRi0xhf9InC7CqfjsKTxMmqHpYLCYnN3ky27fLcSSF0gXRKBs2yGnfcQewejVegNZWnonVEA4XJb+0d9jYCO9+N4mE/Onb/qjw7SZNYuVKOHz4JaJRqHv+x7IoRKPsfNFVjIjDYdrblTf5m9/Id02TbduKjXCnhDOSM0qnob6eQbOGwbQcY+zYUfO/+CC8Xn3toJRUOjpwiiSD3lpHKIaJE6GWXolY02mpOyn9soLh1qW9UEhF7SCyT4aPjOUmZ8m5hEIqAtCpgr/edrp58Hbq2i6XGwoFhmyRxNPNOlUO3PHxCoYo0XDypM5ikEioHJz4jImEEJsxTS0i0JOtIhIRP2xoCHFg1IrvaJsGgzKOeOUVDZThtddgwQIWL1YGLxqFBx/kM595FljFpz4F67/1LTIIrMS36DrgeSorr+PW7D3Q2UlnZ4kY8733UrNmDcTjfCX5aUaGy2hvh7Jl87j00k2Ulb2T/OJbWXHgACYw67e/ZXqzC4HEXMKBAxZEo7xw7BjbH34YFi+muxvq2mopu+gC0fdc0sd9i5/jy3cUYPduLMA1aRLPZKfz7LMFNmyQe3Bdcx+uhTeKeK1psr/xOr5wp5uf/UzuxZTuRyTVYlmsW6ecTSUkm7NVd5dslurjPYTDIldIYyPHj8utHx6mCM3u6qK6MuckOeg/5tHrWigE5ARNXPCLcELe9IFhMH68cnTUhOlNunW077ZzVFbKXPOYBQ0iGLQ8mlniiu3X65BTcscSjrHOjChqhdP6LG94yJs+8ojaiusUC/c3a/DOVJM7UxR3tujudKnQt7s56uKAJleW5r+Hh0sUU5TRK5RK36hwQq9lJRGg9vwtS/esAzTQxe+HgNUH6TSmqX63vp5cuIFkEsrtk/iMnEZX1oQKMkAtS2Dyzc06BaWzrYkEmgCnTjIeh+faXWLdDMNRIaK5GVztz8l36usptM1ix46SFGVHB7S3azK1o7PnDoXgvPO0XTVNOdaVE3uUsCb0mFNYv16lqvbupXD4MESjqiVLWHrr/dd/yf2IRtm+XSZ1rnE6ecNDSwtMjT8qQJmuLnr80/nMZ4Z4+ul9Mv82bSJ/993wgx9AKkVHRxEcNzgol+8x8mIsN2yQlLVts327CGFs2qTSOc8+K58/+SRDQ3LrNPDCNHU0o3PHiQSubEanirNZNf5KeI8l4LOiSrzz3P+K29nAXWfbHOL5cD5f5Fcpx8xp7OtwPb1exDOzbXG+FADL8f4djiK2rZv+1oXzjB8v96X65aekgLR0KY9ul6hweFgOUz02I6rdqiEsw8MQDNLVpSK2hQvh3e+msvJdwDt5//vRVP6pOP5EOceO7SK39HbwermOR/ks35VxFA6z792f4ZkVT/HUgu+Tybr47pI9DA9fwMc/vgDDgP6v3cd8YBFAOMyqVfD1r1/IuedeSmOjCbEYDUBbSwv59T8hlRJH8Fe/KpcIMBZjlzmDWbNd9FzzGUwg8dprzDzwY664Qurpv/oVPLStRgBgEydCRwcN9j5aWjQEoCgsXV+PZSnD09mpaQr9R92abnPihCqtxOPUhaUcEotBxlsjN91BwZVsTgbKtikJrxjVqHV4WI3fM2QmnAisgEuvc07k56wV2itEdVXIZjUCUx/kNMd1GA1/N7SEM3GGTt3nbKmZ0/GL3q6xG1bEc9XaSzYVXuvQurS2BqeHlpc8aMtilBdvGOinN8q5N00yWSUQrX5Ho5SyWTx2hnHjhIeXNzyaDJyzXFL4ddwldb6jNtPUChXOhzpvr5CbTkolm6WYW0kmcVk5DQXWKjHptJas7O5GJmFJTt+pD+p07tAQJBJacaG/H4hEcJ1/PhgGkQhUVp4jEysc1hIbTl8uB9RYE1Sk1GnToKkJvx+uuqoCuFgmU2Mj7pYWSUWqc3TUQNyK0z+YVYtCOCwzPJVy1hC8XuW4NjXJNY0dS/WEPNGofD52rKoBOkq/zuqgntdpKXVGsf+gU8sr4BqlJvHX2N4Ouvlsc8kxeE7atrwcnXtzakLBoChwZLPIzVHZELxegb0it9nhfJJOUwjXSs1ZccUOHFD7//GPEItx4gRa9i4SUWi/5mZBNSd7dbbkyitVlLZwISxbxuLFcOGFd2BZ8OmJEwkDSaSDAkwGhlm1Cpg/X56X0+liyxammD1s3Srl3zVrgGefxdXYwEOrBxgaGubjH4emf/kXwpWVsGEDcxp7dZr78suBvXvxT5wI//mfLFkizuStrfu4rvMu3Ovvo9A6k3/9V/GzslkwKyslI/Lqq0yeLGXpUEhxA+fNkxNR0M3ZsyXKHTcOGYSXXUbe8NDYqKapUp52kxfnAKmRarlC1cjRAZL5vAV5GOefD16v0xKSykrZ5+hRVSJxuWDMGFx2XtSS7Jw+Tibr0rU2DfxW6a0TJxjtyFuWjtZ0zU7NndL54qboAGGa5CyXBtW5yeuMl2Hw99cPD/575NnTfe/PAa8YZWXYpdZC5RRHaVIGg5rUrXOWloWLQrE7AuiFrrQlx/HjxSKsIKtksOQNj+5lNzSEuGLbt1M9QRQt+uwqBm0fJ09CeWEIt5XRA8hjFopaTJEIBa9vlEEOhSiS1ZRVUzQYhoaE2JvBR3k5TI0WqE3tkkly5ZXwgQ+Qw0N9vQ4EBdno9RIOSwbFMBDjIMxfzUHWv+3kMsaP11FnOo0YLb8f2tuZP1/23bsXqRGqHwuFBAlf6x3ElRoopm2amqCpyQlC+eAHy5k/X/3WtGmyaLS26oDiootkPXZUjfB65TjRKIRClJfLfrNnw5T6vOR1W1qgtZWM5dbNbKurS5QgSkPoEpTuKCJuidtqWTJ2DUM5dspV/XNq0HB6Megz7Xe2zMhbpTWHh8tgZIT/evZZbHs0p3TChCJvM2MrZLFKgekU/rnn0pNwk0zKvfPE9kAqpaXgdr4WIBB7gSsrdsnNueACiER46SXJYHq98jxcqQF5aE6/KyWg4ESZjlfp9Cy+vqWP2OHD1AI1N9wgHThwcf75lwuNwbbFoMyejb4Q2+YDHxAQTDYL91V8hnzXfjAMXn+9nCeWPQr33w8rVvBA/Tf4yrpagkEBbTU2AhMnkjt8GJYt41vfkqxE3bwpfD/4Faivx7XwRn7zb8+xerVcGytW4L/mGmhq0k5tY6MiyT/9tFyYyq4o6UymTUPSFS+/TColLIpEglF1Yofc6PBqM0ZAF1qDwZJ+dKANliMS4TELDvtDjOW4cbrFx8mTRdCR01HBSe+M6ghjCVlcZ5ZUjj9nufD7ldEuTXWgpMTUolFZWQx6nBK5Zal91PdOF1+czs/8/7vt+HHIHi9T6VzXKe3O/lybffr9Q6Ei4XfiRCmIHj2KbrdR+nf/YRcjFRWM5PLFomhFBUyaROplNbANA8JhTnaqbgqhkCiNmya9CRcHDzoZFw/++gbinfIsq4NBBgkQi4kBDIcDuBsbtcjDeedB9dgs1dU+Xn0VXjXn0DQffHaOlhY3LjvPYNZNPA6ZTAUDR30i8mr0gWGQ8daQjdRIw1U7TzBY7Ijc1QXe4Cym3hDVjSWHg1M18TyVEkf3+HE4HnFRFw6P4iqkUjJQdfuSyy+nLzqH5cvk2t7XPAAbO6Ctjez5k+l+qhggvfIKVFRMp2n5dFzd+3B172PFiimyKG5ql50+8AFSKXjPewTbQiqF477PaSzI6vj7BCxcyPbtMHduHS7VusFovB6Qtet9wRfg3o0C277tC6xdK+cx079HNBpDIXxmA4NpN5YVoPycAGPDsk5UVkomydP5HDz8BkyezGDrdQJK3Cb3qaUFGsxeeHKvZrPn/VUa6ea2c9QafdQ2+8nYooRjROok65ko2kVXsq8YsobDunb4drahoWJWWub/X963DYVcOjULsHPPHsrKlRevwgFngQbxzUIhZHVSHFC3gmoePlx0vHL1U0n5obbrGW4K23zl8Vn8wrqCf18+oO8Fzz7L8uXXsnGjAJgefhg+/vEqZqgia++7PkZtixc6O9m4Uf3uP/wDTJzIk3tvBn7H7asfQ4lsMefFF9ka/yGf/OQBDh++jsCS66G+np9d9u9MmjSH6Ust8nOv45e/hA/Hvs7wnXcy4yMfoezuW/nUpy4AljPyx++w4gMfAGBFezv/6+HHARdNTdeQzcK//uuL3Fk2h4JpsuLZZwmGyth+fIRx477NZz7j4zPMZCTyIr9+5zu5/V3vIr/tGehogfp6HrGvY8sju3nwwT/ywQ9ewHTvfkFgdXfDl77Ehg2Czzp6NMPjj/tg2TL6jh2jZvZsXn99Ft3dMINuyGbJNc8EM4CnvR3X9u1MmTePQbuOXLAWj5WhwZ+Wm2KKoaOzE155hfC7r6WjA7JZ0UetrxdR7679tjRvNaRtWW0oD8kk/khdMQtlmvT3iw2tbTYgHidQX88gbu3U5Qyf1nsIh4FYShtdxx90myZ5w8Oxo+AxbFGD8noZOzbAiROyTldUuHSEd2om5W/C4I0bJ/+cNh+ncuz+Epsgf1za6zaMkr5nFP+2bWmdsWX7dkYqfdTWvlkMv5PJInpKoYvGjPFJ+i0Wk7YaFBX7nbqWKzVAY2OVDI5UmkDQoL7eJ4tjShY90x/ANNV5dCeoDoepbJaO5JL78Kqaj6EHzOAgTJ2qIo2krWuFpgkkU8oqCYDivPMUjyXVB13detQl40WvsjYoorA9cZcMyO5kMR+hNAuHh8UgBDY/AIkEqdAc4nF5j4cflgna1kZ/v5zj/PkCyigEpf2Hy8pRaJzCtm2Q7Ybrm3vFkFkWXH01axfJHPjHfwQ6YnDxxeyK+chmYaYTRoZChELg6twlO8+ezYYN6G7mn56vrNfOnbjbn6G+fiapFAxGpxIIhyVlhuoAn03LswyHiSV9tLfLeV83t1lIudu2EWhK0dQ8hw0bxJM+cQIarvYWEULZLG7TxC0QNVFmCdboBT7gL6iIx6Nh9tks+Erx36dzV8+yVVQUOZlvxTEtnU+nq4efjsrjvG+aLior34SyMq6cPp1eBZ130mPptDhJzc0K4AQMDg8rwQKf3KNDhxh7/qgMljg6kQh0dvKZzwiSV2PYLUucy5Q4F6GQrMkzWgqwajM0NQn6r7sbGhs5cGCARYuqeOHuJM3JJCL1BV/8IvzgO+p8b7gBvrULmCjOVEcMslk+vKogx/F6Wb5cGfPulwkC2DZXX93Gk0++BFzHQ9trWQBsAnjxRT74wZ9rh3jrVoB6urqg/R0WM4A5n/wkd60G+ABlZfWiu/nPft73yU+y81MPcKVREO8uEuG89deptlgXiGqMk4VRNS6v16kW+GRaz59PzWuv0f+OWQ4uC7YnIBymo0Pu8QxVIyUSwWuDOztI3hugK+ZjaEgiRbfjNbW20t5efDaO5iuWJQO+rEzXpJ3xqmvQKr2txS2U8MVg1l2s16bTeIIGhiGi0oJPUGuLmgc+Mw/pLFnDw5EjUD0BTZ04MYQG3JQCYcoY3fH8b8LgAZQxUkzx8NZG70y1uD/nO6dLgRqGSueMGUNZ/iTjxh1m+3aY1dYG3d00NV8ntapwGJ58kklX1dLeDm1tU4UMi5BtvV5P0fu2bTxmgd6EC59qiVIX8dKXdFEI1eBKp6n1Z0iFhNPUoNBTZkj5p6ap22YEjCy+VApfJMLAgHg8lZVu6X9lGFjZYvGXbJbpTY3s63YRj8vaUxsKFj0LwyAaLVII83g4elgJt9q5ooKILem32UG4ri0jeRq/n30tN7NqpaxbixcDa/tF46m+nvA4Qfv70r1gGHR1CWDEND20tsKc5kF5497t8juLFnHf5iq6u2WRm9qYh/UJ8HqJXFUiDqwsRjDohlBUihrpNHfeKdcRi8H3N9fw6dWrBWyyZQvvm22RnzeHWAwSdoDM8T4ylhufk+9RHKHp9WFM00d3NzzT7mbmNdfgwFID9gCtrVW89poEdb3ZALVz5xYFeB3XNRSiEKnT5NqxY8HrdeFOp3GZFqFQoAjusEydZip4fRjWGYfu29rONGfOZNjOZihL00mHDh0Ct5ud7e3c8k+SKZjzqU/B449Tm93H5MlTSCZL0urV1cIHM/OSdkwkdLd455h+P2SMWnzNBtUnexmO1NJj1RFpVECpzk4aFkV4dKs4bIsWqRNbtaqYK45GYds2Rl5tBNOCd2zgoeGPwSfuB26h+uAuGoD9oArMvwAelUX47rshnebRLS5SqSncvCDMdzd9GtZsgvnzMf84wlfWQZMF8+ZdyiuvXCpoyJMjLBlTxo54nEf808j9frdqCPFLJkz4IFN2/5gBoOpd7yK/9gHCG+C//queaFQcn55f7GbDBvDvhCtf3SAe5OTJTJ4Ms2bBpZfK2OgNXUHt974njoXfz/WNfbRsqmHbNhnjM1auhPZ2xo4VymlrK5CKQlMTIdtBV5vkmmdy7LDqn5dOkwjNIB6XW+eO7ZNJ09RExqzSpWQnfWgYyNxwu+Hcc7Wz4lg2icrUmmbbOtLHlvBrSNV387hFlMEScrptq3JNOKznT23YD7YoTw0dVhF7NgvBIDlvFSdT8p7TqUHWJEcavHTc/p1uZ/Nm3y4w5XQ1Pud9CgUFi/RK52TVkG3HDlXIbW+HV1/VMjfpNEX+m5IOGzNGKbJks2SyLlIpxS1RHlJ5ufrc69WtfUoFkl3JPkgmydlutm+XQKgv6xN39+678abiVFSI3Xim3c2+bteoWoYjL9TYKIh5v196WQ2GptBrNpAzfLjtnE7Dubt2Uf36c/isAfqPeXiis4qfbHQRi4Grex+ejmfQshqGwRRrF4sXy1q/eDEUVtwlv7tmjfScA/qMWjBNpkYLWkZTQ9NbWsTDNQxYs4Zbm16grU3KE1+40y3hYSxGIPYC556rxIktC+Jx/H7Y0+0mM/dGaGrC8/Tj3LMqz/z5srY90tUghZVoFOJx3E8+zhSzh/p6mWxdXUIszwdriihLda8aG+XZ9WYDUkyJRiGZZHp4gKuvFnpFVxfs3OshF6yVweQIQqZSuLIZvSY7Ck+EQmDbuNMD+OxBQc2ZotFZ8Mqz/5+CNM82J5zPz1Trdv5/uvkzMjIEIyOEzz+/2Bx3506IRNhvTMG25VF5YnsYTLs4MlhGPlQrdVblTLiSfYDcIodD1d6ODIbly6nx57jtNknb5ZpmyBhfuJDrzCfw+yV6f2Kbi0x4Cn1mnZQflMyXtqBHjnCT/1EmTboFOETZZZfw0VdfBWDFY48x8oe9QI6f/vRF4ef9/vcYhoBZnun0QVcX3YcPw4svsno1fO1rQ3z+8/DZB6fxg+8VePbZnzFmzG8I//a3xIGtnZ14Vt+lOqlfR309ZN7/MapWroRNm1i9WsbSzE2fJTD3Cti0iW3bRMbzBz9AQDYXXQS7d+N79nFqa2Wo+f0yZgYbZxRRLE8/TU33UzQ3y1L0XKIWmpvxWQPMn69QmLNnU4jU0RDJi/Ntmuzdq0je6jk4vi5QjCBVJ5BIBOq8A1RPyJNIqLZeI1XiKXd2SqbCud+mWRRWUOuNx84I8tkwpM5HUeMC04REAl+qh/Hj5Zxy3ioN1nKQnK6U/L6u+/n92qfUmAfLwp2VWv6pmZG/WYP3dlRVnP1O9+/t7nfazbaZNnkyV141k8rKENUVg7p4HIsp/teBA4CMBQ2yc2BKauUaOxbt1joZCrctnbZ7k26xp0rvzmE1uO3caNUWb7HBZjQKNeag/Njll8P48Vq26+KLi3zTnrgLLb+gFuBSXIWTQTNNudZkUrpVYxiyiMTjugPLKASqYg4PhqZo9vmcyH7mzZNJ+K1vISufinh8WVnkBgnQl3QRCqEVT1IpeC5WReZd1wpIYfduWLuWa6+FoaFhduyAQutMnSerDRfwJHskzajqia+8ooR2IxF5EB0dzJ4t92loSMGuW1ok3zZxIqRSeJI9TAyOcNFFmrdLJlin75crNUAkIsA1UEjOYFDfOIce4qhK2DZFVWQHvm0YlJfL505aO2+7Rh2HbBaHb2RZMr7/yqyEUdvbpeqIM++HkRE+/y//gmUp0KUSXNy9W55lwB4QI4UoUaVSivah5k3GW6ObU5BO4072SlRSXw933MGemIdIRDAkno5nZEfVgHBGS0ETmE1TnvmmTerF5s3w/PPiNJxzDpimApNO4JJLBDVxI9AAcNttXHDBNKBeSOx33OEIxki67tln2QZw8CCbNwM8IsTxykq4+24uvPDDwCTybXNoBiIAfr8SGy8XTmlsFxw/Ts5bxYEDav44FALLoq1NhmNlpdCXmDRJUiGTJ+NTIFRH311HU+Gw7GfbhEJS/ikVM5BMuqGBJ3ncGpWpOOti2IaG8JArjjOVv8wbnmJEpyyUo33a308R2a1oWY6lcyjDDugF0Cnp0vFk2xSlp0xTzx+NTDfNIopb/dPXXoJ41oAYhc4tomZKx/Hf8XYm5YjTpW7errKE40V4KioYGjop0ZxpatkoJ6WtclVaBcDRxHQshM6Bq4OOKrCWKHGULqT6i8kkBa+Pna8F6Mv6qPHnmDO7IGRvkMnT3AweD26jQDAoE8iJJoJBZCF48UUIhdiX8DkUHa3HWRfMiBivOjfTlOumvp5C8xV0dsqpXHopTGGfU6Rgf9InKiuOq2iaJBIy8CMRYONGck8+CbkcPVYNa9fK4uREBg1GD4HYC0Qicku7utBKEpgmL70E8IYYgY4X5Mvt7RRw0WvUUbjmWvKNUwGx+TMaVWp0zBgy0Rls3iw2e+JEkZritdckinCIYn4/RwbL+MMfit3LffE9Em6k02RMkX5ygocAg2LN02ktp1Sqv+0z80XCnUMYM02OHJG3T5yQye3UanU0ouSctADBKYvEX3I7E+L5TPueagxN04SREU4eO0Y6rSIGy4LubiZNkj97LVE+MQyoqoIaf04iPOXBOwohhoH8EY9Lmj8bIFM/XYOBdC/DEyfkRWsrg2kXEyeiFFQE7NXcjIyNri644QZxti6/HHBAwheKYe7sJIZaCD/1Kf74RwuwxBlVFJzFi+H6yC5SCF+P1as5cGAAqJFjGQaMHcvFF8OkSfW4n3wcP9A4aRIsXsyhQ8UpSSwmjhU5JkxQ6MmLLxbDHo06GUQuu0wpzjh1LK+XwUG5dMNQ49LMj25BFQw6pyLzVVmpVEpxRhUVRBsL9VojIi+8kBweDEMhxtUiVcJQ0t9zwJ5AiS5hifiFQp4Dxdqrs5B4veRtlzZsuq6nDKwTGboojKbxOPVbRotOl5eXGEj1owVDxBuGC6N5CX83Bu+tSLNvO3o7zXH/pMahburISNmo146VqqxEh0h6UDj7lUDP9WaafzKg9MBUJHO9v8IGuyjQ3y8Lb97wQHc37s4XIJslH6yRNkBut1YP8ViDGh7u9SKkcNUrx+k0nUqpz5w3LIu8N0A6DQEjI9FTJMKOHcVmq5EIYuy2b4cJE9iyRRkDZeXyoVpHq1qUMHbskC9WV9PdXZTrK4JpknD4MKmUcIizWaC9naQyKAI8eVV+d/NmsYqNjXR3qxRxelBzvEMh9XvxOEyaxG9+gy68t7YisG6HyKXEsjNGQBfXQyEIePOjWiW88oq89PsVGk0tYHi99J+Q+p5zH+sihVGfE4mM6kDhODV6cVJjpmB6tHJ8ZaUCHdn2/xio9XYM5pnmxtnmjGEYUCgwPDxcrD+C/sORIyUU0rU80mmJ8FQu6siRYm9E6uvl/dWrqTX6WL9eyNmxGEKFWb1aBApMkyc6q1i9Wny3983OU/1fP+f115W0XVeXtArqdgsQZdUqaGrisceWA1/k8cfhgQ98gF3A9cCcH34MOMiXvnQu15U/zv6EhzVr1FyNxfCgGsZu3co//VMVcDHLlsEzK55icPHtvP/9sH9bL8l58zAB1q3jJ1t8WoZryxbESG/dCsuW8Y07c4wbB0+NvZZd875CX2g6UyMZFi9WbbFiMeHfeL080VnFPimzEY3C1EimqHBkWRAKkY9OLwJS6geklh4MsnWruq+xGK5sRlKIXi8cPUo4LGC1QqgG6uudMrOq1sjz81iDeL0q9agcWSeo0wR/0GRzZxwr/1GrBGVsj0SXSj6vNKvkOHo5w6dZJcRi8s8wRjWCdjIfDmjmdI1eFQ7mT9oDjY73/sa3UkTaqZtTgzvbpD/V0z11gpe+PnbiBGMD54l3lEpJyFBfj207fLYknHPOaC23khTBuHHOYmpLV+J0SQivVkKN/gTGOSr0Tt7HsrhunkR/++Me2jumEI3C9M5HcXdvxN3ayvFyibbGj4dp0wKaNO1KDUglWw3e980tkLddOk3SP66OI5b8jCfRwxQTsLwC2zIMLr64yH2pqEBSSyo1OD8keX42boPGRqchAZdeCtVv7odQCI9y1c/Jwz2rRJ4rE57Bxo0QDM6gaZrM44ULYar1ArzyCqHGRli6FP9WqKy8VrQGk/Xwve/xjDELK6HklDZvJrBoEVnm8Nhj8OFr2qCjg0J9A/1bxa596EPg3vxzsajNzWSaZ9HRAeOGhIde7T5K1HhBiutWhFzLLCm/JeV63/lOJI3dFdeRHY2N/GGrXOt556nefJ2dMvOc1IpyXvK2izFjilllQMAspkc7AG47hxtw2zZYkqJRwMf/9vZ2DOZbGcXTfX5CofTMCRMciqdcd0sLnZ1yL6r/+IKWfLvwQoohsPrnpN6rqyXlZs++Dk9jI6xdy2fb2ujomMX//t9vEApN51bLYnDvXgLr1zNn+XJ2767i7rstKipMvtuU5aPGQ/S23QQtqyAWE+ck8RypBx8kGIkg2pZi/xRTEht48smjfPKTOcmS/+pXNCwcSzg8i/XrIRK5kU//LkjmPe/hoZ/+lO9O6uCdG/ezcGGCf/iHR4EKLr/8Fj79tStZC0wHrjMMYjGtpcDu3THu2jSFrzQ3U3jwQVwdHXx48WJ2Rm5n/nwZC+vX+2hqEp4rC1fTl0xSY1ls2yZD7fXXVaS4bbs4e+eeq2kvHR1aRU+XHqBEKEWlI7P4dDNcT3aAUEhRZoJVpNQY8/uRzilqUbARykEoFMAX8jLmkPx0KAQ9Q0Mwdix5W2gqhGW8a+mxzrTumjFuHFSXSarV9AZ0YEdaIoN0WpTmKioAw9L5ZK/fJ51lVARYFPiwMb0lIBpD1ku3UcDvd/2JtNjfjcErJY47r0+3D5y5PvF2PGBJB4CtKPw6motGwevVOXYaZ4NpckkIPPF9EBO5LMcDDgYp5gQsC01pM0RJPJUsQSIBFeZoUd684cGtQv76eo9eOwi3QFsbGXzwShctLeAzcpBICi3C7wfDS95fJQhOq4jJGBoSb666P0G13w8ExfgdgZAfAmYGDINKxL7pjty2DZEIu7rcdHVBcH4VPsuCjg6aFl/HuHFqADvVZdMkc6KCZ5+F4WE3M4JBfPE93LSgHkyTvqRL8X1g6oJ6OeeDB2Xge2uLD0NFkZGFs9iyBVoWXY9PFd/nzB9kVzxAT8pHXUsLrvQg8+cH6OyUQw3OvpFAY6M0ru16jlnhoG41kimfwGB9VFRXyOOxMtR6bWr9BnlTKBB9VgBvfQBfZFBPyssuqxI9UOQtj9IrHNUaIZnEHQ6D0vorTV2PThSoD0rySbq1yl9he7uO4KlOo2HA0aNHobwc0+PlnHNUOgzANOnukEDrffMtWL2am1auZMtTsNPdQKUNU0o6ydcGRd6K19McvWgGqzY0sGDBXUzt/jkPLX6KdetmkUzCzkv3c/y4ROnurY/yxfAxvvjHd1EI19KbuJnubqi3ka73s+fQtRVq25oIqq7lEyY8xtGjv6O7Gx76+MfZ+qMf4TFNvvqlCcTjF0ga3euFD32IrQePEonAihUwe8csGpqaCHV2wrJlTJsGBw+GgU+zYAE8//w+vvJvh7hr6xUMvvgibNzIV5ZIZH/DDT42bqxnzBjIbXikqB+5fj1XPv4VYrG7+M535F4dOgRXXeWidvZsal57DS64gIXXwP79UFsrQd/YyHVMbcuItF0shtu2mdHcSDLplqxPy0zcx46BbXP55c7aEAagob4A8YRkJUaqiL8i2V5X5y5qmprY+aKLRAJqnaK/18uYIcHP+MgAwqnTfSLHjIETJ3BnBwkGA1rFKZtVbX5Uwa9I2TJ0qcQJUGuCfkilqAkVsKPiEFIR1ix401Ip3mwWf1hoEy5bMh8OCNrvh3DYLUA/28YDmBWasK3G+d/odqqROl009laotFP3PRsQ5tRt3/795PPDo5BBTqEW0FyT7m7koXV0UGf2aWi8DtHVgmYYqoivWmQkk6rG7/dDMknAzMlCokL/o0cV0CGb1ZJeto3OCznqKKmUApwoaLDTAdyd7GXsWDkPJ515/LgSkTUMGUGxGNWVOa14ksHHoOXRNSpSqeLFqN90wCKEQrp5JyhnMxiUmtnmzfjcFi+/LAi4PVaD/MCWLbBlCzV2r3PLeGBzQDDnx47BmjUsXSq3ZPt2hNxXX08wKP6Gz8wXBfrSaX0Z+xMecmaAYFC84+ZmtQDU18sLp0tvdzcBBku7AdGXcstzcoxVdlADTU6cKFGo8PuZMEH+dGTOMpZ7tKyYMzjU/52ShJOacRsCTBk13hQSrWAoENNfYXs7Ud3p5kIByQq4KMDICGUjw5w8qYAMyuHRz6qpSQbBtm2MHSt/6lqvg9Is4RuOHSsvd+xAvKuuLtyr7qI2tYvXX5cWUatWIffnxz+GjRtxxXsc7ASxGOTMAC5b5tKj2zyiOvDkk2zbBpMmvUf0TteuZW4oBI2NfOpTUFPjk7Fxzjk4N/zw4eMcPnycBnsf8c5O3ED/hz/L0qVybTUdj/Lcpj4+8pEpMt83biRwww1F1JMqSbS2Sj3QE99HARc7d7vJLLwV5s7Fnerj4x+XtH9lpdKQPe88CYfPPRfThECgiL9KJJRIc2WleEJq1VdgXzmPc88FyyoKoavsUAFXUS4NmffptPrctpk4saQbQzBIwR/g5MkSkF0yqdeEeJxR80OjJylJbasJMwpoo8aVk4rM2W6NVA6FVCCh8p1O9gnkuy4rN0qz01Fw0WPRGUeG8Sfq0X+zBu9Mskln49KdCaX5dgEr+jguF7jdvPjis+I0KSJQwR/gve9VhXWFxjRNGDSqZNImEkwPirZeIgF7Yh5ZdC1Lt0Rx5MecZosZfLqpZXWFRBN5Qxoe6hofGmRFPlwHXi/uZC/+sSeJRGSXnriL52JV9Jl18sX2dnxdz+nedk4qzbalRdBg4wzNkapLPENdehc+b4GuLqmXvPIKRe0vr5dMZCqpFNy+LM+Vv/oydHXx1PzvMm6cRXe3JYvbpZfKj61dy74ek6Ymqc00NiKrQWsrRCJk/FL3a2mBmxufg29+U1RbVj7A174mEmJ33IGsmPX1zpqie3wxaRL4/YTDss5GIvLR3r2SBdIAIcMozlqVYiv4A+RUs3K/H2q8mWINTtFKnPk0caLqZKAkUGIxePXVYmMDDVhxCrDOrDRN3nyz+LaO8mxbxqCzn/NPoetGNcz8f7S9Vd3bMODw4cNQXk7l+IlEoyql+Z73QGsrzc2S8e5N+8RxSaWodh3mkktkvd2516OFWQv+AE6xyOct0NgoQyIfqqX/w5+V7z//PB+1H2LTJrnfN66bw87//Wu5OddeS/UP/525c+VxrlwJ31/nZvFiuK7zLmhu5uZrDnHZZYfo6oKfbS1j37hxsGwZ7pd3EwptIBKBu9Kfxb7zTrjoImwbLr98HJWV43g0NoXIV7+Ku6WF6u99hadWPsfChXBf8jpqW2rYvRt+vrEgufj6euFQ+P2wbRvnnFMsjWfCYhivvHAA3713QTLJ/mwN27fDY4+JkZ82DVFSef55aGtj+3bRhXQyOX6/qu0ahkCGVWdWRwFFqaoxaFQV6/bZLP1H3TJcFX2nujJXRHUGg2Qsd9HvUIbLlRqgNlyQTJHXSy+1dHXJdJjZlBGpuJYWcpEpMpYd9BuqvKcGuNbkNU0IBuk/7OLkSQHJedJ9+vxKe4gW/AGOHlXnr2rpeUMoDc7cevPNYpldzzfnRv290BKc7VSO0Kl/w+lFov8nv3X48GEoK8PlgqGhrNbNdFk57d0TClEw3MVO4k5YoAApULLQORGAg9Dzep1DAiqScx6cSn2dWqSl5FC6GuxyaWPmoJdrvCIa6xT0bFvqJo5n6IAVA/6CDFwFL6epif0xAcBMmqQmZCwmIIum6XR2Ki+yvV1+UCkzTJxocsstJu4dSkfsn/4J5s1jzBiphUWj6N5vTiI+kUBreGLbWsC5Jpjn6qvl97NZ9MxOJNQ97upCFRrImaJM4yOjxWyHh7XkH+m0gmc7NIBDh7QAtm2L15tMKi8aSjpVylcC/oKkVIJBETm23bpm4Ti8Wtev5Nk51zl+fPGn0+niYNDjtATRm7NcnDjxJwjrv+hWOkfONldOdRoBBlKDANxzz7eKzsTEiWCahMM62Ed7X0NDmKbsMnEiOm3lstUCrgTBnUg8kVDgA9XSikiEjg65rW1tcOW5vXK/rrkGB6p83nly2HhcRZii7YU0CD9KfT34fvhD6Zbw1a+yejXAHHlUS5difPObcMMN+LqeY/NmKXlv3gw73/sVuOUWsUx33omr4wXV21c6muiabXMz+ZBKv3d1ceXEHubNk+vYvFnwJINGlUSShw7RYPbq3n5HjypaxaJFEmVu2sSHPiSX3tEh47K8nOJ6oSgGTqYoGFTPTYGEtKOUSFBdNiDzNByGyZMpmB4HUK5b7Wg74VCoTFPGhMpB1oYLnHee7NOX9enI0IPIFQJgWU7HNI3QMowStDro/n56vCntVYfY7jiXFRXoRtlQ4rBqxEsJ/sE5Z2eSD49Oaf4Vp9D/m+1/ilx7q+OdzjhWVVXByAiucrBtl9TTUikBnyhtxIJfFANOnlTcua4uWRwjdcQ6NQJ+NIYdwLalhpcSozZxYgk82S/aiyeOlQwCVfVNq/W4ukJhlxsbOZKpwBVXhi6kQv1UWkeSeX8VsVjRIRo/HqonKORhQkWbjY0UglW6iWx5uSxg7mSvkocKalSjpE0iQoZtbiaSFW53SwvypRtukJ26uznvPBe5nEz8aNRFbXqPJu/H4yJK+653AR2dcl9aW3lqh6hqtLaKSDReUaNJpVTdyLblGGPGYEanijao16d5Sw73bfz4EvSlExWqlTmHLAC1tSVetJOWVBbHqR1oNJrt1rqVjmNpmsqQO86HU1VXHw6niy/9fsCyKZgydjzOrNTEyGI/w//J9lZKK6X7/TnbyZMnoayM3X94gXnzZEjXmSYcO4YRKt4XuhJyPdXVJJMUhdVjKQ3EwrIk0rA92muvrlbjeu0miER4wprJunUlCj63rZQc3qJFZJpnsXmjDINgUKI89/r75MXLL7NwIUybNoVdtz3E4Cc+QfOXvsRNiW/wo38e4ve/r8L35A/gjj/A8uXsC85k+3ZIbZNrWLIErnzpPkGJptPwuc/xzaevYNUqOPdck+XLEevq90Migbv9GbmAJUt4ol2E2q+8UlgIw8MK+fzud0uGxF9LKi6IyRtugFmNfbDjoBi9pUt5vUvG7oQJ8tOTJiE1D4XQxOulEKwiFVN+kpNi9NfIM7XzOF1cUynwKePlOLnV1Uj9O5vFtn1KtUl5Y4aBy+slY7kxw3WkkpJyrKyU2zpY2la8BHp5MltSZslmIeQRBSPlyTvlDpctcyxveDh6tEQazLIwDE/RmCmDZ9tyuIDfr9OdTicHR3kmbwgl69SW53/zEd7ZtrNxid7u+6d7r6ysDIaH8Xj8jIyMlcU/kSAfrNH93VzJPrJZlSZXQAosy2mEDigjpAZUaSRw7FgRz6KNmtdLwZSHP3asOhG1f96UyaQbVVoWe2Ieh1mAr/sF5eaiB2Qu3EAiUWw3lUwq5fMSKLDDp1HlPCoqRJFFd49W0j/u9meYGi2wbRvctb6W3sY5sGEDH+3+CitWiArGzaunSG5ryxbYuJHhYXRkpluXhMOQSNDaquv5MuFjMfjXf2VWfS/t7VK/2ZMIwGOPUbPj54RC8LvfITWaceMgncaVzejI1UnVnjwpNq6/X5F6nUZtJaRIyyrul06jUz8OBDyTdTGYdZOxPeQMn3AyyRGJiCF1JmM2q5RfSjkXDlZa1TsdGL5lye84AgCan6bGhMcs/EU6BL0d5/Bs9J4zlQvOrZ4Iw8N89rZ/IRZT47CjA8aOZffuIqCAvXuFqzpUzoEDMp7c2UG9QDm1YId31d0th5k4EWnk290NQ0Ns2QKPPSZIS8/ae8jff7/koFtaWLdOIqhrr4XPzu9lyxa4fuut4Pez5aKLeMS4kd27f0jZJ84h8Ktf0Xf33Tzk/yz/9/9WsGYNHGn7kNSG161jSuxRmppkjO7dC1/7GhSW3Arl5ew/fBi+8x1uuEESF4cOHWHVKhhsnlN0cLxeyXgsXsyclgzr18PHPy59h2u8GYkSn34aslna28V+1dfLEO6xamTwbtsG7e2j1ESc5QSvt1hHV3XQbFames7wCbpZze2c7ZYDpNPFel0yKfxPJBVPKCQgsIgSQzB9owbdiRPyvGpMoTht367qsErUgURCxkQJj1Tz5wyjSFlRz9iyxInOC9kDt5XRBr03IWPLnerDNCGHRytnuG3BLOQs2ad0ajl1U+e6dPpTj+W/w+2tJu2piM7TbWcq0gNg20y96CKamqYxMKAa4m3dijvVR0eHIkun0+LBwSjC5YQJknLPZqEv6So+KScsSCSonlgoEnidyYNSWrEy+My8pMxUZ2F3dpBwWEUjjY30XzSDZFKyltO9++XYra0MWh4d7nvSfRoUEI+XKPyn0+IqOZwxNeDDYUkTOcgqoCg9ZJrQ2Ulrq0zElSuROsaPfoRr3vtYtEiM1z9+q07e/+UvGdf9By66SChJjz2m7lF3N7z4Ir72J5g7V+bxrAUBbW3zF1zAMyueoqlJIseds/8VIhGn9CcKMgCPPw7bt/P668WmriALk9Nd3baRL0WjcvGK+xVI7uOcsTkdcOxP+ug/Z4rcgHgcX2KfkM2Ra93X7aL/mAeXnae6bIDaYM4pw2JZAlzJ+6uKRHy1QAWMjKMyRyIhAAtME7edw2NnhANpeMjZbkkfWjkBNf0VtjOVAE5Xvzv1XduGye+4BAoFaib6df9g4nF4/nkNUEmlkIF/zjmYdpbLL1dAKCOgyc36pnd14TEL2g/U462tjfwtnyEaha9+9WJp83Txxbg//nH45CchFOKd75So7803YV+2lvPOk6iKBQu4Ahh4+GH+4z8+AeQp+8A7qXn1VbL/5/9w8x1V/GR1H11d8N30TTLA9u6lubnYsP6WW8C1/SkAGt71Lgp/2M2OHWKTRoYnaEBUfu0DYmWUpixtbdDZyZ13yhjs6oKnOnzS8mPaNFEkCu6iuVnu3fCwWrxvu03SGZs2cV1TLy5X0VnOZiEfadDRJKkU2Db19TJPd+wArrkGj1mgrQ0ZU6pPmGFQTMlY0qZpzBj0GuWiQMBfwG1l9BzPZF2SsjVNiMeZPVtre6M7PL/2moCPlGE1DHH48/4qXYqxbTTAxustlg5yePT4rw1LWnXQkvquKz0oGpma51AkmjtLq3NP9JqlagWnAr3+5lOazlZaUyidvGdCcZ66n/P6bGCY0s/Hut2cOHGiWJRVN9iyJMqjMQipFJdc4oNECurryddP0QVY1WwYUobOcedtF26/n5xV5MQRj8soD4eV+LsPT3YQr1dEht22LemTkM2gUUU8UaWNXS7WBxVB+bF4nACQCTWQ8F6BqbwvpzmlO9GjkaVa4goxyt3dTqsi8KR6i93bvV5FOJOIqX2DDOhFi4CVK7HjcYx//Ed++UsYGTnCxInnyOQcHgaftDfyekW2kOeflxt9/vnQ2EjXZp3hhK4ucgcOkAWqKJa3Dh6EwvwriHUrnb/0LvjDH+Qampro2ioepJPucMV7IG1ghGsVp80H+PDb4Ekl5V7bNniKOn9O/aN6LEX0l98P3iKVw+ulKCpg2/hCJidOFJtSer1Q43i2Tk205HCWpbJNE9y4DXTE6fbaYPqwbdUWxf5/55/+OWlNwzBgRFTpNa/q8GGoqBDnD2hgv1z7ggWkd/XgtmVY+lI96p5IHdSjxt9z7S49llzrH5ADL1vGd74lEXowCLOaBuEdS4S41dnJN9ZVkUqJ0YlGoS6UUwAhQTN71fmKHvcw8ADf/OW/8DFg++HDzFu2jAtuvovBQdGpzIZnsHyRBC+f+hRc/8rX6bnzTnxA8Be/YMGCooiBYbjweoW+4L7zC2K5VK9FB5BjdIkdDYVkbP96q4vLLptBtbpxUyKDTKn3snO3myefdOZ6VteJK/Z1MWlScZF323J9NDVpysE5Y2QKhcOAZZGzXLoJr6PG4gddf8+F6rDiap4pylDeVo2i1W/3H3Xz5ptq2KpMh5P1iUYppkOammSnREI7MRUVJal9WznlKm3tODK6Nq0c+5zl0pla0rImFXDhcqg9wSBWVmXS7DyjKD6lCM1SQQ89rv+CW1lZ2eSysrK1ZWVlm8rKyv6xrKzso2VlZfeXlZU9VFZWNk79+6F672PqO6P2+e/+9tk8VOfzt0JkvpVai94Mg3K3m5GRMvGMHPKxGnRaXaAUhqeUBxzmv9eranNQUnFFS+s4tXvSaZgwQTwgZ1flpemuB34/g4Yo9RuGBCx1Zp+Mtmi0iKLwekmliilTB9Hlju8vGju14AymXbqrutcrk8hBUulo1OslZ7vJWNJ/L5GQc54V6YH778eoqCCz9AusXXsUEIeVzZuhsZGhyCTd2y6w/RHJ85gmhUU38eW1tSxfLuP2ic05ui+7jK1A1dVXc8Uds3j44UdJJOD6uTlcP/geU7IvMCPcK+7mZZfB6tV8d3Ot04mIOf4XcK27D5JJ+oxaNm4U+pJTvvMk9kt+pqtLnpPpZ8cOWbPGjYOG4KB8Qemf9do1TuaYSARqzQGtNZYP1rA/Jv0OHZ+gJlQoCXOQ+2v7NEDI65W0ndZJLRkzpWNzlDrPX3A73Twp/exsm2HA0NAQuFy4x44t1iQrK6G+XicMHE2sjO1heLiEKKwGu2UVW7o46TCnNEA2C01NPNfuYsKEYj9eOjpkp7lz6T9nik7rq0SJ3O9NmwTHYhh4/H487363CDPzBnAx//RP0AX0ASQSDA1Jia6lRTIVjlj5F8M/hnXrqKuoIPjVr/JAu3SAaGoSRR3H8N00b1DGyW230ROZpTkCLjuP36/Ud0Ar9lRPyBdz+yqbUlEht89jFmSAvuMdGlxWX1+iSAPFqMeyIJXS99YBodh2CVKyhALlzF8owX4oYFY2K816HfTK2LFFfIyDWFYZTFmjnEZ3CuXpAO/0d9TA1ZSEErDJmYBYXq8yZl6vdE0HHcXmcY9WsKJkujgDy++nYHr+hHheNjIyul/QX2IrKytzAQ8BY0ZGRm4oKyubB6j2qaRHRkYeKysr+9nIyMiHy8rKHi7dZ2Rk5Eclx3kv8N45c+Z87ktf+hLnnBPU/Y1GGK2Rdmrfo9Ptc6b9/pz9RyijjBG++61vkXe5ee97F3HJ+YbkEGbP5pkXTM49FyaNTUChgFVVizlmBE6eJGubOsQeGQGzfEiUdMvLOTnWL+9VDHPcKicnGtKU9SdFB7J8AidPwkT/kCTTx44V6zlmDH2HKzh5UgZfxZGkoDMqK0lls3LPTkp+7eiInwMHlCyWX8HtXS4YP56TngnkcjLZFKeeceYwuFwcz5UxzlAEK8OAiRPJnKhgUNnrCy6AsvRRTnrkHH2HXpVIa/Jknjk2jY6OFG53kGULkoz85CeUVVWRmjuXVCpIJAJmMg7jx5Mum8CRIxIcDA5Kcf+irl9x4PXXOQco3Ho7990XB07S0nIxM479Vs7pqqsYqZ9E2Qm5gDcSFaRSUm/0xjolArjoInpdIg1mGDBlCpzrPgIDA7IilJfDhAmcnBDi4MEUw8PSrb6mehgtlxEO05fzc+yYLEgTJ0JF9qiEkW43I+eFOXiw6EwEg+A1LLkYZyKOGQOVlaTz0tPLAQGZKGtW2t14zBiG7DI9aU+cgKuuuuQ7IyMjt59pDDtzZubMmZ/73po1eryeaXyXjnFn3zPtd7o5MUIZg4OD/Mtt/8xnP/95stkmpk4F3+9+CVOn8of0RYwZA1FfLwwNcchzESdPpggGg1RUwJj4qxAIcNSYiN8PZccynBzjI5eDCWNykEwydH4du3bJ7bts+kgx7+dyQUUFh/2TePFFyQ6eO8GiK2YSCEDNy0/C0BD9l72PsWPB98h6uOoq7nk8DbzJtdfOIfT4PbwG1AHjPnM7O3ak6OkJ0tQEPp/YrssuA++TvxRpvVAIWlt59UQtr70mU/Ad7xC6nMsFFb2va2mho2NCTCjPQDxOJjKVp58W8nY0mJSbpzI7I2OEplJRAeOGM6QLPnp7YerkIXjmGZg4kZFLpnLoUIoxY4Jaf9Vrp2Uh8fkEnHH8OBmXpJUvvhjK+/s4Pr6GgQG48FwLBgYYOb9WfGiOyriMROjrL8frVaRyl4vjZWIIxxkn5fhjxmCdLBNlpcwRGDOGfb1eDh8WppF98GWClgVNTWRPlON15cDlIm2JJrDXsKCsjJOMYYx7RPKYY8ZwslChg7ExriEYGmKowsPgoHQcmlCekUEfCDBEBRUnxcpZhlffgzJ7CGu4gnxenNPyIUvPHetkGevXP8CaNffoAf0XT2mWlZVdB/wj8CNgvnr7j8Al6u+96v8O5mzkNPvIByMjvwV++7nP3f654DnnMOUd0TOmKN8uQOXPBbKcrlDvokBVZSXZCi+5XJBojQd27YKbb+aBn1RhGPDBaEYihrY2+o95OH4cfIZCF5omfWmPeP6dnfLaP4VUChoaJQWQybokghsj0Pk+o5ZUCqKNeY2OdDDHda1RNm2S+bh4cRTftkdg9266LrqIKTPbePFFoALKh2XCXXIJ0lnASYKrvLcjbeXQ0iaGoLpSIP0kk7qpJxdfzDMdHgYGZP6/4x3SHkjzKBL75P+XXcYD66bw4IPHueGGcUQz+7Vj8IfKIIVClObpBfjNH+GCC9h5qJb+fvmZMWMk1en59qfxP/ss4Wuu4Sc9UR58sJKKigu4806oW/19IdJ+4IPE41A3rgfSaSZeEWXnTpg+Hdz7XhAL/r738fMV0spo7ly4+qIe2PIUGvZZX0/Gcqs0ZRdTpkTl/icSEt76/fR5G9jfLr5GczMEkvvgwFE5RjTKvnQNb74pa/H556sGmvH9aM9AZQEcfVGXqu/X15ekp6CITvD7yePWzvnRo6cdoqM2Z87cdNNNn4u+4x2jUv1vFa293axH6b4FXCSTScZVVNBQX8+WX0f54AehetWX4T3v4ZGXorS1QXTvf8G0aTzVEeWCC7pomVonTsDr++Ccc+jxRqWfmTVIxgiwY4cg9qd03gVbt5L/xPdpa5Mx8ei946QWrJCZv573Qb74xWFuuKGcdesgGuiROVJeDpddRm82ynsm9cLPfw433siDD1YAhzl0KMpvDnbw5N69+ICZd97J/a8E+eEPo3z848UmzS0Ng/DAAZ2q4403iH68lW+86uNXv5Lxes01Ko165AX42c+gsZGeuih18afgjTd4KvRRfvYz+NjHYOEMX/EZp9MQ9tFbKyAyXxiOH5LfjY7vES2xsWPhHVN48819eDxRKivl3DzZAQ1mc8V7YGSEHn+Uri5BcXqG8/SfF+X4cYjWDYpz/Y4p9MRd1Nn74cQJcpMuJT+sjpfsgXCYnoRbxKnTvZLFMVUn83ABh4C3a3+AI0fkdw7HO4kOD8Mll9CXdEnHFqB/KAAohK3XS/9Rt0SuaQGUEAxKtxGK2rLptJRPgkGV7rYsEaw33BLtmya9WSnnNNQL6K/gD+huM06du2AIn/BUdaK/eFFgZGTk0ZGRkWuAj5W8XQsk1L/wGX7b2ecvup2NiH7qfmdDop26WZaFbQ9L6cKJy1UBGEAzx1MpqssGCAZVAdcb0GhL7fUr2R0H7DCYFqh9wSi28fD7xdnJ45Yw31JtaVIpPLE9uoFmeztoaFk+jyubkYhzkooAnXYgTkuSUEjDCl0U8FkDTI1kCIelRrYv7mF/wiOE9vPPl0m/dSszGwd4xzvEOG7dKmR1XUl2JF5iMaJROP98laluaRHjEgziVqdPMilRWjbL8ePFVM3YsaqvYDgsT6SrS9VejjM0NFAkzypB3MOHZV9sm+rKnHNrSoql8nvjx6sCfTZbJPsFg+Rst6YulCkc0iiVd/VgHSCF5gg6qSilJDF2rPzc+ecrI+ZonzqgFdvGbee0+oUG55qmIEDTruJASCZxWxkNDjlVCPevvb1dyk9FxVgYGeF4JqObQpBOw9GjWrGG48fhjTc0x2vQ8hRVfbJZ0W0VVhzZrPiB7e3Ijd62jSuHn2PiRAH57rfrZCydcw48/zzvi/YybVq57vhBOk2+6QoZa52dRVqM0xqdi4HjAsJA2vjUARii/3jDDZJ+b26W3/vy6oDkOUMhMj/6EYPLlsHatcTjsHt3O2vX/pHt26EunId77yX14otw5IiMydZWuOqq0bSwjg4BtCiYdP/4Bq05W2v0cWXFLjnnSETmcihEX9KlMwfnnadAKKp25rLzwvttmq67KXjsDLzyCtUTC9JZwB/QzyuRQDfV86R6tZOrLQ6juXuO8Pz+mEs3JA6FZB4NDyP/UenGVKr4WxUVSqzGgZZSwgM3DHK2m6GhIoXHRWE0AMWZB+l0kQhv21pNx0FpwuiuIk4K1bZVI9mS7S9dw2srKyv7bllZ2X8CvwY2l5WV/QC4AXhE/fuQeu8x9bVT93lb21uRzM+mqnK2fc+2f+n2RiLB3r1/YGRkpMihS6eL7e5ME9rapMFpdze+rT/n8stlsG3ZouC8oGt9bjtHXUTUDJyCsJYfO3wYT3aAykrZXZOhnSKcaTK9URpkXnqpLAj7Wm+FBpHsqrX2E0jsodY7qJuC9yZc7E94pIFjiYq/I7FVa/Q5Lbq0+GwhOpXMgps16uzKk8+wdKm8NE14ZIubL6z00XPVx2TELl/OzXP7CIdl8cp4a7RxPX5c7kGPJSrtvPEGsxr7uOMOYS+cOAH/8R/Qt/on1L7//dgHDjDj6a/zuc9NoaysSlBoCnLZl/Xxhz+o3nRdXfDgg8xolK4J/RfPFPCAbTN3rnjiFRXQF5wqK5vqMO/peoFAaj/VEwvk8wJD35cMiCFXDOaa9D7mzRM/IZWC/uqpFNpm6Ya39fWCCHzHO+R+DFoeMmYVhfqGYp1FFTudIePUY3KWRPQBbwn52iEqZbN4zL9eP7y3I9RwtvlQXuJGO/gtTBNefZX6etUlYMkSeP11bm7rIRwurvnO2LMsuU66u6mxemhqUsdZvhzWrYNYjN4Nz7BjB6xdC7da36W//Q3x5GbPZtf/+h6bN0vj1JvXTJe5c+gQLF0qpPJslv0vvkjuU5/i6qsvBvI8++wuWLmSKQh8icceIxJBGwCvV+p435j3HLS3s+u2h9j+qxECr78O7e3cx62MHKzl8ccvoLMTpja76d2yh+CaNTB3LldOy4sk0G23cZ3/GZYskaD0oez17Jt7uxjDdJrql5/i0/P7mDcP+streCY7nS1blOBEIgHbtlHT9QRKCpQf/xh+9hsfmfAU+fz++0VaTdESkkml0HThhfQfdmmMmTO3w2GKjpplaSk9wmEtehEOq4epUNgK76LrgKYpDlg8TtHRVZQGVzYzeoAYBgV/QGhPMCpbpBWH1HFtW1KTfr/6/UiEnLdKDJ4CfVVPLDhcd63Z+eabcsiC1ycUn0QvPjJ/XZTmyMjIdmD7KW//5JTXnzzlOz85zT5ve3s76Muz7Xu2/U/9Tul+g5kMLtNkYGAfg1xC4NJLIZmkqWkqliWRnNsokE2CE365OncRaZquZez6j3moDodHqXiQTtPY6NGE0GC0AbeCJUYiVfr3bVsWSc8pq6BDCLUs+OMfyymEa8UDVOAADzk82RQBYDBYq9rluEVkOrm/2DAvFCKd1H/iTg+A4SUW85BOB2htm4N766O4fvpjPBdeCC0tWJZLAwbqFi7U6IHFiwXkkU6Db+5cEYGuOInfL9Hh3LkzqXvlcXjwQVyVlUxdsIDtY2v41a/kOu5ZsQLjwAH43e+4Z9M/EomILiYLFoJt0761CBwllZLV9NxzsRuv5/e/h0jEQzSq+bn4/SqaCNWTCTWIh5nsxREwnTC2QG2DbsvGOefUUt0cEm862Uet1xSEGx4FRvRhGsX7D6OplZYFnnC4SEvIZnGn+ohEanT6eMwYB6VZKCLNTJOC16eJ7l6v+4zj9H+6nQ20UpoWdfYp3V59tRtcLlZ/+9u88x/mCPFc6bm1LpCgalc8wPTWVkgmGQecH1U4H6XxGo9DOFyFL9UubWvOrxOPPZGA1lZ2jpnJlZMGmfH848y47RIe6ajle9+Dpff+nJqnfwyvv86U9gf4weda2WM1sGkTmOa1+DepxTsep4CAUxYsgCefPBdIQVMTISS9xLRpBPskupvZkueBDW527IAHVjfC4sVMb+3EmPsFvvlwHR+59xERS9i9m/cd30HLphu5/36Z17Xvfz97klV0bIEFK+7B578L7ryTr8ybx57lX+Dee+WeLF8eoAaguVn6WjIIf4wxoeUKslnpeXzl/PkySbq6GHOFh+pqGevHj0t14H1zm+VgiQQkEkQiNUVaaWMjB+MytjxmQQ/IUmOCaTJhQgn1w7IIeA3IWhAM0pdyU35MlTbSKV0CcVLx5eUUJXP8frwm0BkDwKgPkEhAIGLiSguyPJGAKY2N4mRmB4hEqgQkY7lL2Vsyxky/RmwGvPki4IWS1kRZC9N0O6dONgu+kjWxXFfOZPuLGrz/l9vZ0i2nTlBneyulibN950+Qay4XFAoEAj7N+sey8IeK0VmtmaIh7IWsrfH/ClWL368ItceNYgK7BDmlOm4IMVc1YHN6idWG8vj9avFLScREOEx3p4wJp77UN9iPy6ojY3tkECgkZv+YWg4ehKFDkhkKpHugMyEn1dxMxgiQ6C6Swt1GQdeTGhtVuqSzW0b7u9/NM7Eatq2Qc7treUbqKwohd/OKWnbsELJ47faHZJZ+6EMkDo9haEhg575nH5daRVMTvZdcy/LbJML6t3+Dj3bcTvqy7+BvaiKz+SnmzSsqaIgsfj2RiGrZs/NRGfWf+AQ9k6+lY4dMyumNOYjFcUciJLMeZdM9AotP9xYRtaYJ4TDZngFiMbkdUxqVOEAWjS7L2W4NXKmuFMmjguqicOJEEXPiqK64rQzEUzrtQzhMxltDIl5kOUyYoO6zk/NRaSCX+s3BtOsvrqVZOh/OhMx8O/QEl0vmQy6X04Gsoztq25KVi0aBdgOamzm+ez8BHNh5GtJpwvVS+yYaBcPAtEpkqbZv58qmJqndTLqWbErSete3DcKGDZKanjuXnuAVWugkGpXzuK4tIwrld+yg8eqr2b/mCT518V7gPSxdegms/TIpIAB4jx7F4/GxYQOsXOmmtVXoCDkzgOfee2HVKqZeWsbUW27h0c77aF02ldbWqfxkQ4FAso/3v7+GKf4+2NHO1DaTqQu94nzNn8+e+V8hmYQ5oQEeuCPNzqMNbN0Kra0zaIjvoSYel7HVOod1a2WMvy/4AmzdLpFgSwu8/DLnnyPRzPjxosXJjm7JdKhsgDdVIs2FpSlyTgfmfONUho4icyedZrD+CuLdkhly9AEHCTA05KbaW6AmmFeUKQ9uJfQNkkg5cEBQ1of/S96jqWmUc+eM7bzhAa8Hvwk1xgDEkpLKHamiv1uutSYodIWCEtHwmKgWQkLL0egWv5/BtDSPdaUHwTC0dkQkAj57EBCjXMD196O0cirn7s+p1f0575fy8kYtDuXlDI+4uOiiMLVGn6RW5s3DttHRhGYWK7mb3pRHI5AbG4sPTC+klou86ePoUVkAGxvRnUxzwVpAMx+wLIrag+rhhsNahpBCo0rFWRa+2C6czpB7ut38/vdoFGMg3aO5LaW6dH6/rEXt7Sp3n0rh7nwBT2yPnFM4DO9+N/3lNaPLXN3dkqvq7KR/TC0PPpjhtdcGBBq+caMc9F3vIpsV6TDftkfE2M2fz87gtaxbJ+d2zTXw0eATxL/zHQYA/uM/qK6GZ599icZGmNLxkMjlx2JYllKJqa+HefPIvftaDh8WT36G9ZR4yI2NfH+9hw0b5P40+Adw7XhGN7p1HkqfXaV5S5EIcgOefx7SafqyPp5pd9PZKUbNYw3qvmMuK0c2K4BQRzDEtlV6p7SjuvIiSm2sU8srMnMZBd0uVYH5S26lc+RUGs/p9jnT948fGwSXi3vX/CfBoGqua5owbx5dXQqU0/EcpNPkbDe5XFFgGwCvF1+2TxwpVe/UUYqjJJJKYVkyjDdskPvMihXi+VRUsM97BevXy6O2LJgT3sd1wefkvi9aBP/wD4BjF8qBLn7xC6Cri0eBpwAmT+a3v4X77/8jBw6I43j++Yq2sngx6fvvhy99iW9E7mPpUrGjP/nY47BtGw9tq+H//B80AVuTOHXHWzWeLIseo4Ef/1iuryG7S5QXlMF77DGhQXi9yB/pNDQ3S71qQLAAo8BLKg3pGDCn/VVNqKBT56aJJpBns7K2OI6XwoQIPUIJpGezKlOhSJUOL9gB2vSqFkTnnqt6XJ44IalHPJo2lfcG9P12tGyBUQpOTrrRtinK9pXU8Rwql6avKEqU7tYCOiVbOl1GnfMpenx/swbP2U4lir9V7e1MtYk/ZyulcpSXl2nvI2+7dPnFTZ6+lJuct0oXBZysViKhct+lKitI5OQmr8EJloXOoXvsjCMqr5F7gAZMuNKD1HqldU1np3Q04PjxoqhgczOYJlPrc8yfL8Y0FoM92ToGw1PlOKkUdHZKpwW/DKBxCm/idEQuRKeKwkMqBVu2UN2/R/Oisln4deoKMWwtLVT/7Lv8+Mc+pk2rknrNkiVyc2IxR5xFvFMlwXTl5Axz58pbhgHPeecQWbOGhlAIVq7kxPEC73//pXR0wJ6mmySSVOTSVAr5z29+g2fHE5x/vqwBuZZZMHs2g2mXFlVxFh6NUHVqmKo24QBPAPnswgsBWUTCYdm1vJwi99Lxrr3FiefcP/2iVGSzBKRUOhZLFwNAvy4Ybmct+otub4XefLtzw+VywcgIY8cKV1SPTaW2EYshJ59M4knsZ+xY3X1KR7KFUI3ckK6uIhoYpSbS1ASvvUaD0eMEjjJ/7rxT6rMdHUyx99DWJkOssRF+tncKj6ZmkAk1yAM7eJDEk0/i23gfMABkpONGPM5S4Lp/+id2peu46ip4880LeOWbj/K+0C5+9COoaWtgJs/gGx6Bu+9mzr+W0Vc/k1AIrvvPa7nmO3NYt07OqWB6pGh5220yD5TW4MaNQjp/Jl5LXeoFvrsyw4IFyDVffjksWcK+4EwmThT7HA6jOy3w5JNs3gzdR0WD1BFQx7K0ZCHRKPlQLcGgcpQVwiWZVKlj0xSFHzMnBlPJkvn9QgPKWCpjpAyIjqqSSTxGXmrWI1Xg9VJrDtDSIunbXrNBJkxnJ57sgIiye4sAGReSIXEbBXEkHR2wEqkxrV5mGBSQTEbOErEAjzUo48lBeamWY7atwDGmSWWlHPbYMXSQ4ckO4DYKDJWblG5/8wbP2Uon79k817cinp+tYO9sZcPDVFVWMn68nzfeQJ7a2rW4Y/vYtk0V4xMJaszBYp3ijTdwde/ToMjduyFjFo2hLvokkxphmEhwirYS+LwF3EZBwCu4teeTMwPkzAABe4BZrXkmTIAjQz76wlfI7HGECRMJ3REgnRbnTC/M0ajW3fJYgzRE8lxySREsVfAHSCbVQuX0gbEsapK7uL5xH0654buJ68X93byZj77xdW67TV7+bOh6GZDLlxMZf5RYDO5ZHxAgjEIyzLCf4SsL9rFsmawbN+38DIMvH5KTiER49LanaG2FNWug/8rrIJ3m4ovFeO4cM1PC1i1bqHn6xzQ2Smp0V0zSJE1NWhhGImbnGpxIvKuLQHIf/sphysvllu1L14i0mBK9rrP30+AfYOJEBfxJV4nqvWniM/NEIjqbJ79ju8n5a4rySwq26LMGnACcREIUbZz+hk6dr2C46T/sUoo6OWnP8hfczibK8FaGrnSOXHDhRTA8jHXsCB0dytnavh02bMDvF+X/XSnJUPDaa3hdOU2gdhyGZFItcgp569wuy4J80xUUrrkW4nFmGs8xf75kxu9aWyUG78ABeOwxZjUK0Oq11wT429Qkw/rGJT4enft9BoF1n/oUL7/cBvTw+c9/nV3r95AG2v/P/2H6Kz+ms1NAUwSDcMcdfPGTA8ydS9FBW7OG5ltugbVrMU14dOUefjM8h2fufIKdO6G8/CXuuuZ5Adt0d4vRW7mSbyzt5bbb5Hr2ea/ggU0+7r8fBoMNMv+/8x2mJJ6gvl5+Z/VqpEUDwDe/yUdbevB45JDbt0vwty9bK+vDtm2wZQvurl2OAh7PdfkgEtHlkzxunfGpnpAfpR97/Lh6FiVCBxqFrFL4tq0iQ6UFGw5L8NTZCdTUaIc5YGRwp/q03uVg2qU9oDffVHJhSu+yJigUglQKTS53WTnHJ9STyDDU56osE/DmR2l1ONvx4xRRziqzdiqx/W/W4J1NFeVs0d3bhVqfbt/S406cMIHm5hbyeYpgBCXMqh3UVKqoW6fid8eJHztWjE2xF4fyDi0Lj5EviqGCzn1ls2iUo1OgLX2dSqFbdTgRhI5UnOZiSteoztpHU5MMkm3bYH8qIOfR0aFGMfQfdetMnGXJ9dcEZVEv4CpqbqoeLlPDg9TXy/F+9tp0WeRXruQm7yM0N0tN7rm5d8GHPgSxGJ9d0IfCsEgE6jSvy2apRdqlWJasGSxcKGHVpk3Mmyf38OWXgVCICRPkso4cQUK4iy+GI0fwxPZoeUYnDVJerkArjqqHYYiKjWOpADIZqssG9HcPHlRal85NNQyJqMMFxo+Xemsm6yJfInHkRHo6S+m84URw2awO+gAdpeYMn1bGcaUHqaws+f6ZZCn+ytupjmBpTdu2YWR4CEZGqFBjdHgYybuVjFMNGa+shDFjiur2SPZA71MiI6LEa3B37SKdhufMWRCNMvXA42zYIM+8p+l6gfO+//0Qi1G7/SE+fFUvJ04IuLOjQ4jjwaDI0pnAlPo8cC5wnM5OeR+A3/+e6uqSiCMY5KmuKh588DjJJEyPP0Jy2TJYv54+/xRaWuDWNVPlRBYs4De/AbiYbdsQ9G59vRZZz4dqHUlbpnh7aWmRubd5M5J7VymJWmu/k4xhV7dqWhsMQmcnVVXFJAGodSYcLqZh1MtoVJ5LT8pHKqVSyqk+qd8PBYTupLxdx88GtNM9PFzS5UA9Cw2sVFGf49RlsxRhlc7BlBPv9arvBINSpw0rQ+Z4M8pwOl8pmMUMQWl6Um8lc6dUSN0Bh6mlULYSekLp9v/NDPorbKXeaumEPF1t70wglT/Hq3W5XAwNWUXpmlEjB52u9DsGR/GALKuY4ZowATgoxs7RvKtW7o1tqxSD05K8qUnS/I0+AvYAkYhC72VN8Hq1wfP73fjsLAE7S59rSDlyLgJYuk5ANMpz7S4O7BVydAMKnZkNisg0QuQMhQRY4xgLv9+FK5XC40AiIxH2JQOYZhV1zUFyZoBwWBzTOf4XJBS85RZ+bV7Pww8PM3duOTOC++FXvxI3OhQiFZPx7+Q38t4A7nCYTFa0CZcuVZqJ6+LwwQ/C8uXs2KQVl+BgCncwSCTikUngVK/PPZdCdCocHq2u5si2+f0u3fLkxAnwjFWhloJM5v1VJBNFSSXhTRp/UnNVery6p18Bl554Tl1TCOzJIpRU1VOcXmWOeG9lpSLOOoQrrxfsolF0VOX/Gttb1bxPh9J0UcAwSgyh6nMH6N4x2az4WlOjBejwQksL2V37AXVP02lc6TgRpTNbrdSVS/lYvkOHCPh7MM06MvjwTZtGZ6eMgTprn6QVLroI3v1u9vhnsnm93LO77sjBli1EPn4j2SyEPvIRFqXT7NztZtq029i922LHDrj5k5/E/+CD8PzzTP3Qp8V+NDbCvfeyciHAAPX1F8LXvsYmYNbQEDu2wNDQ/WzZcgvM98J55xGPQ0WFyeLF4Lr76/DDH4oxWLGC5ibx52alfg4bN9K46RG6utQCPTsrUerEiRAKaTbAeech329qgpYW8vFBjTQOhRQQKG5JSlSlYRzHKRhUWqKWRd4MgOEH26ZCOWBudYOPHi0Cp+hO6rXEshAxQwU+UX/qPxz5TC1/mEyKXrDhwa2skTOMSw1PMIgu4BaCVaSSRTqr0xnGHTSxSjh22mk00PPPMFR93LY1yN0B2QFFUftTtr8bgwdnBrA42+kK8v8thRbDYO9rr1H44wFuvfVDxQ4D0Sj25qLgsVMk7h/jobq+noI/gGkV612GwSgh4eFhNHhEl4a601BfT29SooeANw9dCVyqMGwHa3U9NxJR1IK0fGfEqNCLZc4KECdAKgH1Jszw74NkNyT80NrKPrtB1AriMtHq/IMQS4Dfjz9YKwtxLA7BIPuNKSTSMO41pdrS9QI8/xqed7+baLRGDNgOC9at475tday9E77+9XK+HHoA3vs1uOoqhq6ayffXugiFVL+8rK3vQ3dcGp7OaBYiL+u7YNEifpKaw/rFsv9dtw3KZ/X19IWkAW1jI9SFi4PcZeWonmCAZZGxfFr/r6lJCL4kEvj8fkGwJrO6RVH6hf10dytBanu/IGG9EfqswKjm557swCgdscGs9DF0QAWTJoEv26dh2qV993oTLm3swmFl6GwbLFtASKo3nmmqhcA035bSytm2t0Ipn27/0v+fab90Og0uF4OHDxMKqfqmEjVwBBFylgtPYyMZqxgFRyJAZ1wvTEeOQEUoQCAYxJ0dpKVF6CeZd11Le7sc0tfxFCQSTG9rIxKpJe+dQmrJV7BtCAUh1S2L92fn9cA7PwTHj5PdciNtbfDP//wTvvjJASYZElRFIiYPzP05//7hB2kAcv93Nz9es44HH/wtlvV5Phu/nadavfD5K+F3/wd+2cmyX/yCsg9dAZ9axQ9/eAczP1HGoz+A644fZ+G4nwGTuLnFxH7HnRihECxfzvfXupwMKazvgJUrWbBAHvc985+Bf/gEXH01+X/5V5YulZTlnXdC9X/eJS+WLpWUuStLOi0Zj7Y2mG7sEUN5/vnaaqmSH5/7HOIIeL3QNodBSwAlQ6WNhEMhjhxR4y++T0BFho94XJzQgFo8fN4C0ag4oBghcvVT2f2Y+BjXtWXo2npYjF24Tjt+eX8V2fhoA6cdQ+UJlvp/AX9BzTMvOUv9VonOqs4QmCZ5Q2hbblDpyyJ2x7ahL+3B6/XgswYpS4+eNH+zBu+MdIGz7H+2aK90v9L/n3GrqGBkRNLXWBYsXEj/MQ9tbapOFItAMEh9yJEKqyEZU6r9yT7FFfHq/IlpSGps0PKApWRz4nGhA0QaSHerSMiBtynPy0H7GYbTpTyr4/uywrB2vpyBFY1CwOqTN1Xbht6kW0vzhEIq8rQMnZPzZAfkmoNB+qyAI7Qu0lmJHnmh2pA3ePsgliXXPJPbbivWI2ZtvBU2d8IPf8gT1kzKB7v4dKsgPvtSc1i/PoDXKwX7qfYu+GMMtr0maZhvPcS//ZvYlk2bwHfHp2FxAtatY9bCKmJ3iu2b8fTXJXpU/YP2Jzx0d0My6dZCt7cuygmyz7Jg6VKeSTaQzcp9qQ2JlJh/6DBRexckxRrti3uI7VBajpdBdf8e2KxW1tZW9sU9JLqKxuvyyyl2fsYs5pWdUNG2CQaLwCPbhrzhxjDdxfFn5/HYFqTEde0/7KK//+xD8q22t5LZ+3Okx0r33fvSbigvp6IyIOT7ywvwUhQWLCCxQ4J5z44nwO+nq0sMWzqtRLdVzk1HGQCNjQymXTQ2SjrTHQ5jGFVs2QJtbbOYkn0UVq0iUF8PixaxdWsV3d3oNlGfXZKDLR1i1RBE7rZtVZgmXLekisce28ctt0zhkdZ7ePTDn8cA5v/iF5Rd9hs++ckqNm5cwod33g7RKF/ovpnUL+CBloN0AdEVK/j2t/ewatUdkoH/4Q+JLFhAQ5OHc8/9MH0dfQyed54Q2b/6VTILb6X7TgF4tLfDlGgUEgmWLZsiGYpvboaPfITB5d/g/u/IGG9rg5vnDUB4pVAJ5t/I6tVw5ZVeohcKMKchlIGOFEyaRD7SgNsokLfFiZo2DRqsPbJ+LF7Mjh1SMfCk+0jZwv2sA4jFiMyeotKOIQ3xVwBO2C5Oe8asIh5XjXgrRVGosrLIb3RE6pNJqFURn9s0GT9eCWSodKcIErikw0s6jddfVYwCgUKwymmyIYhdhW73hbxS3zb90hw76XSaSQuFxV9DKjW6lADIH6doi/3N1/BOp5ACb60O4exzuuOe7t+ofQoFGBmhrAzSaUsTrCsrxbtPpdBFGcsqFmTHjy9y2jQSRLsv8qBHlWlUWssBE5ai/gpeGUwOFcG2VT84hwiVSKgioRZSJ5VSUjtObl5ZwdJUt+N9awtZoiIDxch03DiVqXA+L839WRYea9CRqJRazNKlsiLF48yZLbUvB+VYXl68DkC+NHu2cBP8fqo7HmftWinjbd4M/f/7+4KC6+7mzjtlQTVNBLDS1KSjC8fANzfLIQ0DepIeATo0NUEqxczWQlGJDXexJlKi/eUoqEQiUnjPN06Vg3q9EIsxpbGgb3s6Lag3nX4sAQdoFjrFR+9wad12DhcFcpZ0qdCFCfXdsWP/5w1gT91ON8ZPN2fOpkYEUN/QCCMjpAf7OXYM+g+75EbE4xqn47jgti3dl0apfSCXq9cmyyrWf1Shr7FR/qXTSIjvdDaNxXRt6JVXFNDL0SZ7801oaqInKxy/OmsfH/sYwJDUhWfPxo1QLKVuPRY4IQ7f889DIlFEAM+fT/Tyy6GxkduXZNi4EaYG+yAU4okdHl57bS+HDu0F02QfsA8gnSYelzlXWanAXm1tkE4zq61A9cSCHm+mKad77JiaUoYh0mnpNO5ED16vTOcjR1TTVFPVepNJEU2wbS31GQ6re1BdTd4bKA5Byypm+pRlcMZgac3LGcfOXPaZ+VFISmcY64arx49DPC6AnG6XrtlVTyxo1SmnPqc7gpimg82S80mlcKUGGDtWjjto+zTIhlRKuKy2XTxf0IvVsWPFrKmbPAF/oXgPdbds1Pj+O9nOpgRxNuN1pu+Uvn9q1DdSVq5fJ5MJkQ9DUnuO3CT19frJJJOSFqgem9EGLm+7FCHTq6WjLEuJg/sFUOFAtV2JXmr8OYkACegiv2mCK9GLxxosIilDNcX8daHIaXHQ8WOdvm5OIzfFCXOOFwqBKzVQnAAq75YJNWgx2GBQpesS+3SPkHx0epGCofgy2WxJrUERXx0UqFkxLIa7cQrDw8UeZpalBrtzQUrw0AE/2LZ6S62ks9oKzJ6tYMrzrxerqHLGtd5B6oxeptdnHFQ827dLrzOiUVk5duygJi1NXW0behLSzbwQqpGDJhK4s4Ma+gyq7uLA31QRvaRXLidPlkxKB5nioJD0B7KVln4LSB131AJUUsH//wizckbH0NlGRkagrIxv3n03Y8fCzp3oLqQzWwskk7DfkCa60ags/i47XxxwhrS7mjhRjX3DcFTG6M0GIJ2mJitgDgfowuzZ0um1vp5LLxUbOHGiKidI40hxbM4/X0uZEgzy0ksAwyxcCCxbRhq4Gdh57V3AhVRWvkN+Q3lSy5fDoxtzkidcuZLMup/zVIdPUnXZLBw+zBzvc3zve5dw4YWX8OXVAVo3bGBqUxNs28bUjge45pqi/6LnVDbLrk4XmSW3w7vfjefpx/nGHRmuuUbG6SPbA5KXPOcc2LCBRYuk5NHdLSCqVAo5aEkKx/GPjh2Ta6WiArdRIBhU99WyRoPbLKso0aWK3I5mr9bbVMf3esUg9x8V/cvzzlPjPRjU8kLBoJyuY30yWZc4LYaBK5vB51XjSI1px9kzDEqIvOJvOny+Uq1abJuAN190tjWB9RQjWLqd0g3ob97g/bmozNMBVf5cHl552Ygw+MvKGBkplweveuJpWl2JOgpQJE6qvLRTLHYWtf7DQpScOFH2dRB/Dgy4YHo4eFAG4uHDqsjbvU9TGhxEpzZW4TDpgo8dO+TlzNYCU9mDr/0JcTWvuopd/ll8f63L6WbCFGsX7i2PSP3RMMiFG9hPA7u6PSSTMuHGj4fpTQUCiT2aEIxl0dUlacVHOxX8fO1aPr0oQ3Oz8mxbWsSFT6fpP+omcaicDD5cHS9QE3uGKY0Fjh4VR7urS+liKkRYqcRIKKREei0Lmpv52cMutm1Txn/9A0JG37IFTJNftwf4yY5anmgXWsJFF8k6GdgmwAEqK9kXnMlTySlkjACe7AB13gF8Y4d0QdzJte3dK+dmWSol/Oyz2tjvT/o0s8SJVD1mgYLhFq5QiWHU3gXFgC+bFTWKbFai/IC/UBwvavFwesf+NbZTo7qzRXSniwAvuugiGBnhksmTNSiIgwdFySMt4wuAdLoo5uvcW3WdzqPOZEXkwBE9GDMGufEK1VrjzWgnrNA4hSc6q3j8cRkXNy8uSB/IY8fk+XZ08EhsKm1tCuZvGHxjSQ8bN07nPe8B1q/nemAXcGXsx8DjHDv2X2zaBHz729iXXkrNg1+HbJbBaz7GU8YcVq+WIXbiBGQvvphHFi2Ce+/lM595iTfe+Bl3350hs2gRqzs72f/kkxAOc++98Pzzh8SIqJblT3X46OpCeIEf+hC8/jrf3+Djzjul9HbeecCaNfR1d4Nt09EhY0BS9EqZZPt2nH5feaX0M4rj+9pr0N2N36+i7khEJ2Ic5IuLgjgJSjzUMaimibRfUbnCZBItiFE9scDwMNqYCVRdNk1q9/u1ZJ4z3vO2q+jh2baeFkePoqNJw5B1xgE0gWRLCrj0XNAoUuUUOv36nHlUwCV179M4mH/zBu9s6cezTdK3SlueaT9nmxgIMNbjo6rqQqlxKciSg5BymoU6vG9iMQ0lylkuhodLPHslrBoMIm0+1AADNLE0mZTxm0zKouhK9AqZT9X0nPUj76+CpiYyZpXu/9rcTFELyDShrY3nknV0dur2XlQf75F9FFE2462hs1Ng3cr+UWP3Uv3yU0rGHh2x9VGjlepNEyFJrVkD69eTzYqz/I01PrHmW7dSfUTaB9k28qW9e8lZLn7/e5nDhw6p48Tj8sZvf4vHLDjULvbF3FozU8kByr1MpcQbMKWd0mOPyQIRjcL7mgd4//uVM9LcjKMCbZoK7OMtFB/IyZOjWvQMpl0cOSJBcXW1erZjx+o0nYOacyK8dBoNSnGlVHNYJf/m4LD9fnEenP2dCDvgL4wCwmAYYFlFbtJfcTtTavOtan25XA4KBZZ86lMcUq1tHPHU117TQ0pD3r1jVY9B0GKtTmnaF9sFySTr1okDVT2xIIXbLVukiW9nJ8+lGvjsuqnceafczpvn9gmSt71d/h05IhHeokWsWQPPPvtHtm4FfvpTui+6iA/vvJ3t22HytXW4f/tbTJAGxFwIVIoB6OigF+DIEfYkq1ixAtavRztXV/74s6wG9gC77vg5cCdz536YH/7Qxz1ImrTB7+cffzmHp59uB4ZZvBj43e8gEiGRUPPyBz+QFjfLPsudd8KxY4ckhX78KToPHMAGWLSIDRtkoW9sLEFGgoxDr1eXK4JBZXScz5SYwpEjgg/QtdJkUisA2TYUmqaTq5+K11sizuAU6rxeTLOoE5u3XcXSR0m63qHhEA6TM3x4vUhWSyG9Egl0OyCSSXxksG1F+8GjSyGhkApMgkEKwSqOHi0S2EmnKS9XpRnF0SilMWgf0clFq7KOs/3NGryzpSDPhEQ7EyXhTBP7dOlMAGybw4ODHDt2rOiJRCL0pjx4vaq56rFjoxBppdXUUcr3ZlE+R4f2FDN6jgpITTDP+98vg7G7Gx7pqKXwkY/Jbz/8MFODfUQi8oz3dLlIJIpCIraNpFgnTZI3OzuZ0STk36EhsSv94+ok/GlshKNH8cX3MCOa0dS9ZBL6jFoGm2aRic6Q47S3w7PPUmMLr+iii9Q6tnSpVNabmgiH5eWyZeBAH/vPmaKVlxxRUY9ZIBoV43v++cp7dDQEDUPXajS3UHm2jz8uHjEA27djKSFdZ4Imk7JQPbKjSqKzjifE3d+yBQyDzZtlYX2uXSILtm6V9XGixQABAABJREFUi9i7F7xe9qWq2LpV1oaJE9UEjsWkYKQimO7uon6vYUDAHqCWXgJmrtjwzrGIp3DsnOc+NCSebs5yaSOn66iGMaqc+pfeTmfozrZv6f8BDBdQVkaZ22TiRLUgRyLQ0kJlpfQfDIch568hFoMRV/mo1B6W5fD+KTRNh0SCbyzax8qV8OU7Xexb8XNBMw0Nwb33MmPrV1i2TMbtunXw0LYa9iQCckzVtZ7LLoOHH2bLFpg27QJZ5G+5hcbhYT6avIePfARe8V9Fx3vfSxRVFyYDTJDFdPly6v7t32DZMqaa+/lu0wM81PxdntssAK7Ahu+y4tVX+Qow/d6baGx8jK1bt2PbsBBoA/i3f1MMmRYaG8MybmMxWLuW1lYJQgt/2A1f/zqu2H7WrYN/+ZdzaWqCnsgsmkIhqQQnEtr/amuT+0kwWKxFIxHfJZeolC4UObKRCIcPy/uB+C4tZqML/xRRxR4jP1oByO8Xo6P0LL1eqcG5jUJpOVqei207yShIp7VCSt70FYF5zhguSdU7WUunHKNVWpQUjys9yPHjCp+gnMWKClWaUT/oRHd6rUX9bjjMqS3P/2YNnrOdyfs8XSrzTJP5TIX7M/2GU2G/4II6ufG2DeecU1Tst23o78dni9RXIiGtdbQ2WCql9aKxbZ3fP3oUbaECZk74W8Eg+UgDg1lB9fnSvcyI9DF7tkz4/a0303PVxyiEavB1v0DNjp8z1XqBcFjUJnbsUC2FDI/INDmktI4OZkZ6ef/7ZS0+eBD2pGroi84R7SI1M2pTu5jTktEYjXhcvNxd1hSZcErLbIq9h49/XE3GVArmzePX2ZmsWyf3xNf1nBiZeFzuqRq/WBa0tPDAehcdHTJHZzQOUkePWJF0GlpaeCYpYrvBIARiL4hHfuCAjny6u4G2NkzVqieQ2s+HPlRcbDs7pa1MpmWOvn62b6e5WS4hmUTa+ITD0m65ogKyWerrxZB7vXIq/SdEwcKxpgGrTwNWYjF1eaU1O2dRLy3A+f1aWNkp8Y0di07NjKpdqMExCn32V9reTmq/1AF05suJEyfA5cLj8RTbyChRzVhMfBbXbx7HYxbo7FSLYiloK5vVzoxOf4dCLFwI31jaSyQCX1lfx08mfEbSfx0dNGy8i5+szzN3rjzbH/wA+hpnSQ3XGfyAp3sXW7YIJSBnu7nnXhc//envWbECmDaNHuAhFAUANyBAEyIRaGvjqXgdO482SE39n/8ZPvABliyRx/JIVwOuLVtg5UoqKsA027i5rQcTaEKu8SMfEb/t1VclO8G8eRAKEYmIT+ha/4A4VnaDMzU0V5cjRwTtGYkQiYgj6NyjvqSruHOJ9dHUFWfcIQmLbBappVEQcJBjHbxeTp5UNdVkkvLyIu/WIds5a9Op5TGvl+LYDgb1eHZ2LMFcaSCSbUOpVXW6HjjzWOkVFOeLZY1qTVTwB4qBm/oBJ8LTHRQoAfac0h/ob9bg/TmG7Uzpy9PjMc+cvhn12cgIXm9lUYz75MniAy0psvr9RVT6YNatX7isnOSZ1QNzFr2C6SFjBATQ4qQdKFEQUJVeJ6NRX68VvoraWaaJzxrgvPPkc6VmRTxegu5S2mUes6BRTs7iWzDcelF2og23ndMDUy+8Xq8oyCqQjN8PdZGCjn5iMTG4ySRyAq+9BobBwYPydbeV0UoOTnkrnaYom+DMGBXdxeMSrdHUJCi6//xPWlvle9u2IdZt0iQ5eHc3V07L09RUlKiKxyn20fN6ob2dmY0DtLaKk7p9O2SaZ4HPpxGA7uwgEycWb9nBgxTFNFVNtvRWpdOQsT1FprtTs7NtCqZHUjcq9+Pc79J0zNGj6v6X1Lew7dGLx39zeyuDdjZawplKBgAnT56EkRGGh8s0EOFPao/9/dDVVURtOqFIiTPgBCV4vRT8gi4c9AoHdOlSue35Gz6mvCqgo4PWVrTMVSqFvHDQLX/8I9g2ySTMqu/Fs+E+pd7yQ55+WiL1fUAe53z+CLgk9bh5MzQ28vDDStEnGsUVicDLL3NdZA+LFslw3nXutexJ19LSIqBiUilMwO/3Q0sLY8aIjb74YkkaOEpHrrSSHWxpAdPURPNoVK6zuxu46CIsdRNTKWlYjjqEBs2YJoVwLXnTh4ec021JBmR5+agMkmMYdZ0tFCJv+qTOptTORwGu1HNxGwUmTCjaoJzlGu3cnzwJllXM2ignRgN1Toe2Uu9VVhbngAP41A5RiXRK6dg3jBI7VoIaPXlSxqSHHJWV6qt/ryhNZzsTUOXUf2+nfud8t/TYANg2F557LuPHn8PAgLxm2zZMU7zNnOWS2WBZmuzsivcQsAc0uCWHR3vvztoGiqNn5sVDCdWCYeBO9RUVBNQCsWOHZN9cVg7XhoeE56TqiIPhqexLVXHihIyb6uqixrE7OygG6dAhaGrikc0uXn1VDu33g88awNW5S9dg8Pvps6vY1e2hq6sIm25qQqxMR4fu6PDYY/DdNS6Z+R0dfHbuft30srftJmGpP/kk0/09nDwJv97hk8Urm2X+fMlaNTVJHXIPU+ltuVHc4yefpG7Tv3PnnXL531jthi99CYJBLr64pK6xd2+xc2dzM/vjbp0KcuDaTU1IOtS2hVdoSzPZN98U5RZf9wswOCgzsL6ePiugPe9IpIQLefKkRhk6htq2xcv0kSmKIIfDDIamkPPX4LJyeNJ9ukODY+BKnXRn0pZ66H8plOZb8eycfd5qDp26+QNBGB7m+LEjdHWplFlXF2zaRH29OBIsXgyRiHbQiMWKaV7b1oAM2wY6O3FteRSlGc5NS9wcOABzkg/hbr0C7r4bZs/my1tmsGSJACiDQZiafKKoYen367G5YAF89I5ayGZZtQogCFgkn3wSgBCwp/FG4HfAcUlbK6ft/PPFP2L3bgmxFORz2zZJMjh+WXOzStuvW0cfwCWX8FDnVK6+Gn72M1E+++Y3gXvvZeDJJ+H551m/Hm5aNYWe1pvw+6Uf8U3zM3zsY8qYfPCDeAEsS4NV3FaGQOwF4b+q/L4GqhhGcYxaFowdy2DWracysZiWDSyEamRtQQFOFMx4zJgiibvUGzt6VPneto0n2UNjo1x7LtwgPBMlNzZuHBoSfiphXFMQ1GQpGG49N/8ElFyC6HIATQWvb7TWpvIw3XZOpzX7Dwv6XfOS/15qeGfb3ipteTbO0VvtD4Bh0Hf4MCdOZCQ9oJLTjseeSCAFn0SimFMvlQJAweiVJ++2Mjpl5nBPtIai+o7zQB0NOodb1pP0CMHWISl1dxPI9sqgR9bmI0eKwcYgAYnKjhyBHTtoa5NDHjig0JFGlV6EnNXY0Z+srxeq25gxUr4bbLte6n7HjsHatXx42n6CQbhvnUtmfyLB8uWCAF2zBoG3pdOwcCHTpg6zYwd880c1DIamUOvPML2pgI+MjibTacTlnTwZUina2uT2bN2K5IMsi+pvf4F16+Rafz3hYxICtrVBPE5DdhfTree4vnWAK6+UoHDZMtj37s/IcX/5S2o23qOjh1dfhf4LrpBO8U1NYNvU2L3Mas4wb56sdR0dsMu4QhbwcBh27GCqvYt58+RRvfyyEu5tbdU54EBqvxg6w9AScw4Uv7R3Xigk9zZnuYpuvIoUfWZeg1z+WtvZMh2nbqXzoqKiAsrKgJJsVSikozjd5krB4jWtBPR88PsldWzbaNKdbcOHPyw14P5+1SFjyRI5dns7ixaJk9TWJkN1sHkOLFggPMmWFjmRL35R12CfiN5OOg0XXvgNLr+8itDrr/NZJJEZvLSM//iPx4AxlI2P8dz/fQXeeIMv31EQ1aGXXiL/7LMAPNVVxd69T/DYYxYz7adouqyMW5teYP58mN5xH9NXrmTg2We5aeP72NOeIxqVzMLGjcDq1VT90z/B5Zczd67Mi7pN/45r08/p7oa77vXxve+p1G59Pe7KStiwgS1bJErcl/Dx69QV/KS9TlqAdXRQ2/EIDekXwLbZuVMcjJ50ALxeAok9LFyobndLCzQ2Mn68kuXy++k/6pbWWokEPP88EyeK8ezqYlTaWddm1RjWER7o8NrvV8/WAVs5j9eyIJnENEvq9iX5ecfI+byFoui6GdAclICZE7qDOqCuMSrlooLp0QyXiROLw6qAS8FEi9v/0Gf8/247EzjlzwGznDFdeZrt1O9OvfhiLASe6xgIHxkiEdWwMBqVEZIoQfY5MCbFMzIM8JREeYaBLuJbpk9eO7DtYK0EBqFavH4I2tBg9KiIJkqPXYthQm1EPDaHHD5+vIzHmlBJ1GCasGgR++06Yu1yfpMnS3RHXFKoRKOibWl4eL1DMx3wpHq5clqIguEWRKnTWO+aa3h0R4DOTimjcPfd8PvfE9jYzPbtPo4fh39fGpLzraykP1XOjh1CGg90PSPRYmsrfdE5bNwoE+6974Wpsd+Q/elP8ba0YC+SwNS2pUdfgyqeOemQc85BPPODB6WVUdN0XAiZu6Ki6KBPCQ7IBJ88GebNo6NDUpqhkDR0PWxZ4rU6XmYwqL1oXV9Rk5hEQtNRHJWK8nKKrr9zcqVEcpU/PnZKXUQ55SIzZtnF8aIGy8mTfx0tzbdCYZ6676lZD7dbdZzOZBy+OXWK9BhcNIdNmyC4sIYG/wDveAccTg6DZZGx3KI4pG7C8eMKldkZp/+86az4vMinzhl6HKzjYEVkXP7iF4Iy3i4JgvfNLdATd0kGxesVcnN3t1jCO+5gzRqK2pt3fpSeexdyT+w6bl1Vx32vvkrzxReTBlUPdAPigLLqPyU8W7BASOr19fQs+ALvuegQMIGRP+zjvsvegwEkt13BsWPvZ/fuKfAhH78G2n7zGyI7dmBZczBN1Sfw0CFYtox//N9VvPQS3OR9hP1f/CINkyaRXHsjK1bAyMgbGMaF3Jrewq5jx5i+d6+mzsbj4myaJtJPs7u7WPM1TeLxoiSsU46o8eeK/F9vgP5umBj14SLJhAkK1dku8z4W02ybUamHceM8Oo2YsT16OfNYg5KWOO88Dh9WEV4yqeeM1ws+S9a0QDRIxnJLuQawrWIpUXSBs5iKKK9r2X6/3t8pAWGoOVZClIdiBsSZZi4K6F5revz+jW9vxSE63b6n296K0nDq9uKePezdu4t0+kDRPbftopKBShGYpkojlxRhoQQ+q97X0Hq1aQdIucwes3CqU4wuENo2deE8tUEZEH0pNy++iO7KXePPoWUYnIOHwxw9WhSxtm2KlWOVzy+YHm0fVWApaVYULcI5ptrhlVe0hqxiHwuJfHhY1RwMQ2psig/U3Kyg2aaJU2xznMNDh1T3g4oKufvJJFPrc0yeLD+7bRuyoFVXa2rFldPysmo6mphpiZZKefa6y7YDCrFtqqvlGWWzJfU3J6RWlswpyaXTFLlkTudJa3R/uzffFJkkXTx0ihuOW+z305cSz3rMGBGXdts5HVhnLLfUWqH4HUXk/2tsb4fWc7atr68Pysr48U9/WlTkUPktJ5V+9KiizEBJPxq0I3DihDBKcpYLvF4qK+EjH5Hxkb/6WvLzb5QbrPrjOB0BEgl4dIuLhx9GrNqqVdDdLWjPiy/WC280CtO9+0ULtvE6tmxRAcTy5exHpLY2bAAYAuqZGh6Ugbx4sQxelautC+eZMOFcoI58dDrXATNwgtl64INw/Dg1QA1AKKTZNek0Iii9ejWTJ6tUf/P14riVlzMr0sOSJQDDMr7r6+VpqPHlBCuOfSv4A3KOY8ZoZ9YZ49XVaOnA/mMenSly2zlpPp0agGCQWEw9CjVOnShMv6dQJCdPqtqaaTp6FbJGeb3iHKpn5kRYBcONaZakOBVKz+sVNRQnTak0KvSa46Q2T61XV1QwKjum+7oqhxcke1lq/Aq4BIBWsv3NG7yz1eHOlKo803a21OafHMMwoFCgslLpX6oGX9pQKRaoYZSkBxzCLK6i+gFo66bVA2wbD9L7TINM0mmd5XJkl3rSgaIlcsQwEXLuJZcIEjKVkrRnL7WyCDvojSef5MrLBV6smnZLa5r6et023ZXoJZDuYXpkkPPOk322bIFn2hX4xulGbdsMpl1cfTU8tL6Ar/MZ2LyZ2xt/zdKl8p1drZ8VObB169i14lFOnIAVK2Bm44Bw+VquZ5dxBV1dEvX95ocDfNq4T/g6v/0tT/3fN7hpqYcPfxgK2Ryftr8LlkXvx/+V1auLcGgsSyy9ApN4zKLajK4POBYyGoV0misnC/1CKSJhYRb75Gm+iPYTBBfjFPaamsi3zWHvXvnK3LmySNs2Rd6dkxpSi3xOKcE7QCXnNxzDDLIo6MJuOMxg2vVXR2mWbmej6Jw6JywVPbz8yivaEPHOd8L55yvhYYmu3UZBbJ1LZKN8KBSGaVJRUeR5kU7jSezHsiR9nUyq++E8ANvGt+0R5s6VFHM6De96F/Q2zhEobiyG6wffk1XSttm4UVKHz6UauC7+XS6+OEFLC3x52yzueewxMoD50kt87WvtgJsLLwxLSq2xUTyvp5+WE8lmGcwqQQjybN0KoWuuIQJcH93PhAnfYcKEFvIrvsEcp5axYQNeL4yMDIwCgzQ2ir+WSCB59gsv1LzSiop66ckXDtMUicC7340v24ffL0Pb75fvurr3yYurroLmZvKmT/NKq8dmtEKFM1QdAJxGEqs1xTDQDqCDtNRUKsXydpgy/YddHD4sNlanqseM0Z1gnGt0pQcZP16lOEvmgAtRfHHmpQaYlgQI4TCy/mkPtURWz+/XfEPHGz+13O3Mc1c28yfk1b9Zg/fnFNX/O/ud7nuj/h4ZYXjExYQJIQLpHjhxgv1WLYcPI2oPr7xCLjKFV15x2njEIRKhEKzCZeeLBGOEdJlOl6QDTJMckpd2Wxl5bQYwDHDH9+O2cyQSavw6YYUTSSjGejqtwVOMG1e0txiGWIeKCjJZl0O10YHdKMigcr8K/gATJ0qNxTDkd/fF3GIcYzHYuJFAtpfNm+Gular+tGIF96yUqOWf/xkGV3xXRvcXv8h06zkyGfGoM2YVxGLUmGJUzztPzvNnT1fRN+9WyGYpvPe9zIrdRzYLd9xxiLtWS4qDdeuoTb6AbQumQEdUSpTUmXwes8C558rfBw5Q9BjSaRHHxedkT/D7SxBgzhsKbesEwJZF0Vql07iTvUyYUFS5GBpSC7Szs1ONVyuJaRZ1Ix30XMFwc+xYicqEEzkrtFqJitJfbXuruXEmHqutckgfvOFGTUNg505oauLXW6UjRk1CakzbtqlF0cm7pdMQDBKPy/seOyOAr3R61C5PbFfI4XvvlYFTX097e0mjZJAMh5M6eOkl4VuGw8ybJzW0GdZTCrQiXHbuvJOpQByELkAYSPPGG8M89hgS3aXTIgL94ovQ2Eh3Nxw7dgTYJ4/mN79hFwLeOHp0E0ePDuHe/HM4fhz3u94F2SyrV8OECVVSx77tNjBNIhFJasyoH5DCb1sb+fk3arS0c03JeFwMrt/P4cOSPchm1TR3IK8KYOMmr4d2X1YJPViWRLLOgZUByEnzHwLevIyrcBjOPZdQqES+zfGwbVvrIFRXCgLy1VdVlsXhXSkxCqf/Xd4b4ORJdSzV2DBje6RBq5pIDmbJspT2rHL6dHSpMkjxuDquQk5XVJT02TNNPU0qKmRcOjxBHSyMGuN/J1tppPffmbRvFQ2OMrC2DQWp35WVVWjrks2qNJxhSANSU/bRjV4VD0YnmU+JHioq0J6WYSihVdvWiCe3URjlsVgWxQfquEolsgNOxs0J/4eGKIImDh/GZw9qL6u8XF2W1zdKBNpBSWWz4oE7PS0ti2JTWb8ftm9n0SL5+V3ZBgGzdHaycKGkTDduRBAI6TSsW8dFF8k5bdsGvcHpDBKgemKB6iP7mBrs4/zzxXtnyRJcl1wC27erdI/Jli0UwTJbt9LWJvdu5263uL7nnSd9tbr3yERMp/XC+PrrUv/TkNpt2/CZeW2snDrcKOhYNovHKGr4JZPqPnq9clNVI0sn2H79deF8jUpnKqSaQ+J10NLO43RZOQ1U0o+4ZJz8TykJZ9vejvN3tszI+PHjYWSE6dOv0BGC88exY6OReUCx7g36HjtMHrxeiVgiEWbPlsfpLPD9QwGVA0d3RVfSrDJWDEMWV69Xo0JZt473vEezX9TPHpVneOIEHqAW4LzzuPrqMBChsbGcigrJZPR98DNw222ixrJhAzMSP+frXz8HaGLxYnCfHGFGSwue1Xfxve8t4NvfrpCxsXy5GNzFiwmYOZYuFS68Y3QaQhkiEdiVqJJUx+zZuJO93HGHfLW6Gpg9m1BjI1x1FTk8jBkjl9/Wpmpsfr9Yzauukt9Mp2lsFLSxU0LoP+HjD39glJPn9Ra7ERQMN93dkAvWgmnisQaJRpWhUkhlxwI6vDsPOb0GZPCNcsocGoLbzjFmTIlzKLdb1iA1p5xx5zhyzhjTmS7DgGSy2MS6xMDpCFSBv0Y5g5alS+YjFX9nKc1Tt7cbub0VHcE51mm9XnV3RzV/VQn2SASZXeEw+2Oj9TG1+2IY4tEo1+TYMTlMwF/QXs3Ro8oLU6FZwMho2sHOvR7dr43Nm4t5Ha+X/jG1PNPuJh5HQ4yDQfHkqssGJL9aXg7XXMOueEB71hMmCIfO1bkLLdzn95MJ1rF7N7oYHo/L3JrOLqmXdHZCWxu7ojfxne/I6U4394klC4Xo7JT3liwBfvELuOoq8msfYM8eOf/r2wapTe0iwCAA+fopPNVdQ0eHiozXr5ewbO5cHnsMJkyYwG23Ice/6ipyy7+iu19fWfaCuO4HDxZzK42NPLI9wJo1ckmLF0PD5n/HOdnBBbfyjdVuOjrkPjX4BxiTPYLWSjMMMpGp/Hqbm5dekn2m12eKBMPKSohE2Lu32KG7sRE8sT1yw4LBYrsGlSZ2ZwdHT1BDuq47bZx83sIo/t6p1JW/xHZqitL5/9nKA6f7DkA+n4eREXK5Y9o5coiL06YpR2r2HPbEPIRCcM6YbIneGDrtdvgwcgM6O6Gzk64uIYx3d8NN8wap/o8vw7e+BZEI96WuZ/lyVS5AfCm+9S2JhpzQsLGR/o/dzre/raLOjRuFx8k6Ub6bN48ngMXAZy9/nief/Eegklf+a4DrQ88xsylDzY6fS/T01a9CLMaexhtpbYVVq85hxQpwpweEhrNwIaYpfhjBoAx425YUazLJli2I4YnFJEJtbyeRkFTrE/EGebgrVuDp3kV3t1I6y2bJdndDKkVnJ/T26o5h0rXd4TyFQvSX15DzVum57E6Lpm5/vzL28TjOZNy+XQm0v/EGrq49jl3Rdet0WmVCSuod2axCjip+lGmKUfaZitZQXc3hw0UaQsH0FNv8KHpTf79KcTqDRHl2J06MdvT8fnRNz2mUDMX3dHeEkoyWM12ccpMTT5Sd/DtJaf5PtzOBXUq3My0A6XRa56TGj0ee/oUXgvrT8TwcIq0m2pZETXrBsyxH8k6Ec1WMXz0hrwWIc2ZAPCnThESCKy8coK1NxuL+phslHaPUdquP7KO1VXbt75dBqj2oYJWc0MSJ0N3NdH8PTU1FD3pft4v+86bLuSrOjs/Ice65xdOPxyWDQjRaJA/H40xvKvCudymem/Kwn4jVkUjAe94D7vX3yeRsaWHHDnEWmprkuwSD9GYD9CbEQQiHZeGoSzwjI/k//5N7Ujfx0ktS/P9ox+1i8FasYN48sYl+P2L8HQfAsqCxkf2pgEOJpLxclQQcvcX6es1RcjKOJJOSN3LgmOEwyWSRfxgOU2y9pKr3GSNAf7+sBdEoRUmxxsZizsaZ4CWhmjPJnfZRSlZSNiedWsL013Dsv8B2OnrOqZ+faTt1/+PH3oTycmpqLhRdUiMn197cjGVJs11X5y5n+HKyQrIYGo5nWdTXi+/Qk/TITRwaYu5cxW0DvrAqQH7FN+RebN/OrQszrFolL9esEYlKxo6VaKe+XlIKqRSvvy5aru9r7IHly/nXf00A45g9W9h4JtCJas7KOCDOdzdWyYPevFmMUywGjY30JsWR/OlPZdjePH9Q5t4PfsBTiQb+1//ax7x54rSxdCmJd76TngcfZNBfx969v+HFF/8oGZHFi6GpiUWL4IHl+5iTfURuzJIl3Lp2Oj/60UsSyC5ZIpw+RUx3soePPSZdPTAMsUy//CXV/XuIx8W+trcjO3Z1MbVRxBcIhWDuXPpHqsQBtvokLRKJ4PWqhs+vvUYuWMuTT6pMlVPcNwzdb87BCmjnK5WSkP3CCzl+XM0Ppc+ZSqmMkTKkwaAq26gslAOKc5DJplk0fqUAOz031R+j0v5e76jsv4uCTo3KQD61Fv03ujkT7q1QmmdDar4d0vnpFoO7V60ClwuXS6WmFB/EkUzMheqEQxPfT2urLGr7Ex5RLFdkSVd6UI6sOCQOOrEQqikuBsp70VI/IE81lWJqaIBoVGpXT3VViQs7NATd3bi69tDUJIIhliUTYH9cQvtCsEoWo0RCWuP4c1RXSzQYj4tnmY80FDmDsRi1dg9uO8ehQ8VceV/KLcdpaZEIpquLj1oPMDP9KPuytVzzmTruvFOM2ocrHhEGcWsrzzTeyo4dcNnFWVGiN02+v6WWe++V+eWxMzQkn2HKL78u9ZpPfILrNtzI5z8/wIIFMHVBA7HvfAeiUeYsqeXpp39HJAKfntcLv/xl0VDV17Nzt6Rrxo4VOz9tmqqvWpagS+bOxbZ1+7yiVNLISHEG+f0kEujJXBfMjMqP5eunaIFwpwHpoOWhzxD1CxKJUeT8fLgO/H48ZkGLCTjcWIfHCYyG7ZZ4rH/J7bSiCn/G5nzn/nXrwDCYOLFKsg62DZGI1GucLZ2mIZInElH9AhunFlO2tk1tuFAkFIfDcM01uLr3MSv7KKYpAXU8jrC3ly2D225jZvu/09YmdJTOTuhbeDu99bNkwFsWzJ/PjMZBPhu/Hdas4dbVDcA/AuXU7H6cHGAhQs/btwOcC4R55RXYl60VD8mytPxJbeI52tokgXDwIEXpu+99j5UrobFxCqtWqfptOEwO8CHDGIa44YYL5EKWL+e5WBW1Rp8gulS0W2iZoSJQkzVrILl3Lw1+P6xaRToNdXXF+poWqHdAK6GQRsRqSP/QkESJWYU+9oqMWDCIFjQftH2atM6RIxoBGQpRpFJFIqRSKs2aSpG3XbrEoedbMCgZokSvHq9O9wYH4uz1KpaAsoYuCjrj75DQKypUhkPRgfK4RRDDkPpsIVhVRHaqrJnjTw4NoQ2lLglpSLVsf7MGr3R7O+nJv8RvONsnbrpJxHLLVN3NMLSW3DnnqDDeMDQ0HuSZT5yIXiydxozONoqW4Lj+fr8eczVB6cZNOg319TzRWcW2bZLPn2U8IxNpwgSIRukLTmX7dnnW4bCATUIh4bq4YvslOhoagkWLeGiTx6HGUV8P188vSNH90CH5cjRKD3U8sUPaEzlRTE38OXGtYzH6zDqey04VAl59PZYlpzJ7NtzU+AJ8/vMwezYPRO9h8WLFR9q8GdatIxOewurVcllzmgfFMzcMuOUWWLuWnsnXMm8evPRSFbenv0L+tdeo/9KXuGb3N3jyyVXABHq6ciQvuIDnurvlvi1bxk3Lq7jmGtFYrK4WkeFvtDxaDBnuvZfb101hxQr5yqxID67lt0uaNpOh0DKDR7oauGulix07pC4yk2eKadzJk9lnTtfrlSOr5kv3EkD6Ex49SlGeRaWm3dnBP0GOvflmMYPjSg+OblFfUnT/n9bxzhTFnY2KcDoH8nQ1cMrK8Pk8RYJwYyNDQzC1XlFimpvZ0y1Q9QkTkKalqrVILlhLX7IY3es2HfX1POMXCsHcudCw9bvC70wmYdkynmr+AitXCgJ0xQqo6X5KhNu3bwfDYJdxBU91BnRnhvvvV5JC3MHP581jH6J5OfPIET72sc8Bh7h96Vh+cORGpoQG2XPJxyQ8vOMOdo6bBV1d+JbcyP33i5O0JzgLNm6kr+V6DAM+/nH4aP0LYuGyWeqB4NVX87WvZYAnmD8fUh/6EKxeTSoF+7M1xaLcggV0dcnLadMuxrPhPunWMG0a399cw5o10oWnrU0UWXzZPhlTkydTiNTpVKMDhsGyYPJketKiPemzBuD55wmFlBFSotOBdA9+vwK5tLYC4sNGo2jHcTAtqPLqsYKq7eqS5SESQXc8LwQV5USNbcdBGzMGHZmNMlRqbJX4PH+6WRZuoyCBgOnR6+n48er6k0nwenVHjooKdLsy01Tn8vcS4ZVuZwOpvF2qwZn2Pd1nNTU1MDLCyIjyzpUrk05rzVp94x3IrN+viJMOqQ3xZFx2voj8K/0d5eo7Wa087lFgEhVUikpCY2MxIrMsakISPeSFy6kBEoNZ9ygVBOJxmprEo3P6uYE6niPKp+D9LS3yz7aVykrjDFmFTpygZvfjzIj0sS/uYY89haYmMTDRKNyz4wp6/+sNuOwybu78LD0bniMUgiPXLILf/x5fqoctW2Qi74oHxGgqAWg6O6nbdh+3zu0lFoNvjruL7JERaGzkNzc8wMGDd/D+90/nuoUeCgdHmHHLLRqo8NDKXjo6JHu0c6f8/4HUdZK7sm1YupR7butlwQLVYSJbJ2iBZcvA68W14xmub+njU5+S6379dXjKnikLYCQC27czJfsCc+cWtQ+f2OZi0Fv7/+Pu/ePbLKv//2fTu2mWpiHrsjUroYbSjTK6UUeBAoX3xDGmDBw4YMpA0KHwhg9O3qhTEaegoPLmh0wFnTJw6tTJJgydMKCOCYXVUUcdZasjdqFLt6zL2jS7l95Nv3+c67rudG4D3+r38ZDr8UDX5E5y/7iu65zzOq/zOmDbBFM7qBybEzUdXZxZAG1mbY8hdOhHkkrhqsXrUhPLIut4OXDg/39psbeDPPX775sxA/J54vG4RD4+H3R0UF4OPWm/IUxohi/g1kIiFHQl+yj+oM4DZDKUlqq8GNB7xc1w2mkmKgqHRZzA54MHH0Qci44OkV9pbGT62q9xXuAVupc+Qd9t9/LssycCXwV+xuV79zIN2AGkx43jRz+6D2jg3od80p3BcUTJKHouAGd892qyn/oU2DY//Sl8+9uvsWCB/GbVPbfw9ENiOLaFTjf3yPPww7B0Kf/7v0HGj18q6P1110FHB42Nkm7uPfk8dKuIadE+liwRB+0x3yc5/X3vg+ef579nbiMWE5QhaImM1ta0MpbptERVqRTBQN6IP2sGVVmZ2qOU46RVjDRcr2tfq8I5cByTNjY1wo6rbKIbM9fViVhTPI7M7b178cR3sLXTQ194ssz/TA/RqDJCSv25uFg9crUHeuwsxx7rLg3HET+8L+1xGWCqpkLn8SpCQgTMhasMS1U1lJEAonB/CwT+TmnlXWHw/i8G7B89tvD7Q6EQDA1RWupzDdzatcRiEmhtTQTl7nd2jhLayPv8ZpEbjyaVImhlTVmATrrmA1J47E/3UBHIiSyYNcHU5Glh6GhUYMpsw1myACwL4nGmxfqZGB4iFHLzbtu3K6ZbJCKrp72daZHdxGIyoTo71WQLBCQcVYa5IpAjSD9VkbzRrYzHoffsS8Xd3LsXVq5kSrSfri4FTSa28dGZ8t133QVPT1JyXvffz5RXf0pJiSzafKyG2lqMFJqGfPuoYHN4luRIli3j0o6v8fnP5rn/fvhi59V0z/w4VR1P88SdW/jSl1TeYulSqYFQxWA10RxXXJJjyRKjRMYTydNlw1y0CJJJbp6/m9tvzTItIiodzJwJtbVkG8+lz1fF2LEwq2E3H53RQ3MzbI376W64WDbVcBh/fCtn1e7m7LONkhi9xVXkojWiRmNnjfNjdhIV2r/1ljyToSGpnayyduMlRzZUZaBPbBs/WcaO/dfm8I40DmUuH+7vQ6PA8y/4AAwPYw/spbNT5Zc2bsTf+hypFLyYngKRCFPCuznxRNUvVLP/1KamFf1jMeQfjY3sSFdw3HHiA82fr0Sc779f7r1tMy2wg89fu5v584UQsiFeLd5Jba2sE9Ufb8UKQdTPc55m5E8A11A0LknsTyPMAe4H5n6iiIsuWgC8xMkni1X23307NVF5HsRi+MvLYdEiVq6EsWOnCvw4dy72ffexzanhxhuf4MQT+yEWo//BB8U5WruWxkYJqFIphLl5551kMnKqlfu3yXx84QUIhWhtlWt56SWguVnEo++/n0WLpIZ6c6efn/9ciaCDTLjOTqPdqpa1dP4YGqKypI+xY5WxmjoVbFsIPPG4EOtSFezahSktqIpII+auLkwtqi5WrwjlTU5NbTMuTba93bQR02IYPp9CFJXhHDsWF+EIh9mR9NPbq2TF7N34kzuoHC8wZ3emQoWZQowJhTCMZ59PoSfKYI8Z45I6tVyjaeD8bjF4bwfHvF20drhjjwTfHKnUYSh3gDff7JIFceAAnvbNJrGsIyRt8Py+gs+rpGrW9ozCt3VtVh6PKw2koiydTijc9XSy1pPajd+XlwJ4TZRQkyPoCCOwt1c22MFBffJDJk+oKcYaMTXhppYXUVz9vrTHRKsGjw+FBMdVHpnmseRrJ4PPR2OjOOWpFGK8mprg4EGCXlvaVWX68aakqLa9HZ5rFaWTiq5XmF7bT3+gSsKzujr43e+M7uW6dZBtllY/p52m2OqOI65nLEY+ViN5RiCY3MasGTmhhQMvtnnJNp3nkm60qG5HB2Qy9A8UEY+7xNpC79go1SsGGbEYBAJGa1DfF+0pmzKRQ8Izv5UzzPzBQdxqX8fB75NaIvNZ9fv/7jo8PY60Jo40tm/fDvk8X/nqV0cr5it9RZCaKA17+f2MIqzgOGbueZI9kEiQD1WMInIec4wYjXykCvMg1W9oktaaNcph+9WvJFE4YwbMmOGq/3zlKwJJsx34Os88A23qGiqamtS51lNXF+XlN6VcIOt48T/yXbjjDpg9m+90nMemTfuYMQOmZzZAWxsWupnve4AhmD2b4GWXGTLZuaEtptTgubYg+aazmFyb57wZeZk0ixZJ5fzGjSxaJMDJG28AixfjmzQJ2toItm+gtNTVLTe6uLpob9cusG3Kytxlq3oWuQi6utfpNIYAN7k2z8GD0BeqkXPp7GTqVKU6FKo2x/mdfrK2h1ygAtuWqT9uXAHRDnGMAwG3tMmyVJ5PYZaZjFKHUbU9ZWWmpZ1bI6iiUsdh1Loxf9u2uwUWqLfoebZnjwosdEnQ383td9E4GlnlSMcczWAemtQfZWSLi2FkhLKyInlgkyaB45jwWidyh4bUpqkfgKEcja4lCQbktzIZybUFA3mBMaNRQPDzUEiRTqJRBgeVBl26b5TnYyag3kB9bjf0Y4+FmkjWpdPX1pKtnWZ6ZjY2Qk1gt8HGjX5QJELvkEz0Y49152Z1JOd2X73mGl7eUyNalcnn8LRv5unWIHfeKaf30fotstmEw+QWfJy07XPxfMti3DjJk1kWbOiqYkf4dIjHCd52s0CNkQg/eOtCbr3VLXPwx7dCJEImo4qOW1vRLJRNm8SO5S2vqV5W9eiEw0rJQefJCgyXXnCFkTlgdEVNDlwX5GUy5H1+w4TXeQufT9VNanam3nWUeoTu/Dx+fIHcmSpP6Et7yDket/jfcQoDw/9fx5HWQuEIKG9tIJ2mtlZtYKeeCpmMPBdUxxDyHHeccpT0JFIwvel5pgy8x8m5aIHdR2VJHxX0iSTWSSeJsxIOk41NIZMRucsZM1SEcdJJgvWHQhCLsXChCFDzox/xxdpfAoOcdtpP+XzJvXiByQBz5qhUX4bOzr9JWcDatfiXfA7+8AextpYlnROwWb26SyDuY4+lC6j8wy+ZOPEUoITH1wdlPj3yCLS18bOOaSxYIFvEees+h2fFYzyx1sPnFnvY3OmXcE0pxLS0yJ+xmPw+Pp8pvNOGIJWSvHxFfDNGN+0DH4BIhPHjxRBZFubeVlYq5rAqPjcCzoEAOcdDIKDeP3DASKE5DgSdPkOo6UfqR73kOHDAhRiDTp9hLOctL6WlrualRq1yviA4DhVWvzw/DadSQBbT6zAUorxctRlTZVi9+7xyjOqwrImhGvbWwvi6JMPj5FxH8d2ipVnI0vxXfM8/MgYH9gMwUuQhFqum2rdbjMJ7Tqe4GKbX5yCVIl83xVUbsCyRKwJjnAATpmlGm6Hb2rYpPM+FJpC1gvidfjzxHWRtj1b0csMQpeARDORdvLSkhN4Bv8nPTZqEkAF27hSDHY3S1iabSlmZGDMze5TIXjYwgZ6U1xSva4JFJoPM+lWrpL7OcVi+XKAjZsyAjg5m1ffQ2FhAlEokoLiYdevgzTeVDXjtNejqorxcgrNoFCNAbCLchgb6G87FtmXj+uT8fjyJbvqjU3iiJcjatYheoNY+W7WK975XnN716yFbN51sQKKL2lqptaOrCwIBSdbriFhFbQMD8tPVvt34O14BYEs8SEuLLDR/qtvUe2QDEwxZTrM99++Xe2qadCaT7opUQztChn1ZIBhgWQUiA+qgAwdccui/c7wTZ/HQf29p3wzAt+69F8tSSNTgoEjGpf1Ce49kIZ0mmVSbVUFNKoGAKwKiC6Qd6WNXXCyv7UhXyPHLl0skrpiTiYRMwQMH4OI5QnCgthZ++EP4/Ofpc4KccorNhRcCmQzfWLCVyy47TW71okVMALYBvPwyL730LLAJ2Motza+Q+NCHBEKtq5P+PrNnc8opg8Anee97a3HeX8SSzk4mAEVX5Ni16yJgK5d++0y+8+1v0wJw441ceeVe9uzZLXJh6TTdM65m5UqR0Ju+9mtSP2hZ5BZ8nA99aJg332xh3jzIXHEFu197zRDH+voEiMhkJCBk40a3PMa2yeJn7VqBfv1dW2TyqxyYRn+ySOscvYi9Vt51uMaPp3eoQgsQGdlAwmG3tY9tm55148fjSuzFYmQy6jXlyOhTMy2ItLepRN8rx+fNEtfzPOt43QAhkyGPx1QJacdVi2QUoh+F+huFyNi7hqV5OEizcLxTEss7iQoPHWMUCySfB8sqMaHz/v3qgEPosjoB7LfEEGJZbrStogztvXvJuRujCjG8Vt6NSKJR2tsFw66tRcB+FZElkxLhZR2vQAelpZSXixGJxRQGr2U+jj+eHqvaeIuTJinV9EJaqTrPnTvl5eJiN0A9qykvEVV9PcyZQw4vsZh8rC/tkUmdySjWGfJ3UxOUlFBfL3V4r72GUOzefBN/cge27Qpl1NXhsn1iMbq6ZP2VliI73NKlBJ0+VqwQnsny5UBXF5kHH4QlS/B2bCYeF/LMbbcJ3BUIwGR7i+T6Vq6EZJKODnhspVda/jQ0QFcXoXSc6q7nxEDX1rIlHmTjRnf909Ul197Wht/KkUyadBHptMuUq4rk3U1dR5Eqv6EjO93yJ2sF6d0n8mKm8LyAzXlI4+Z/6Xi7FMChxx16fP/AAIyM4OTdoFlft1G+B1cxyIurCqT463p/MhF5MkkqperrLIsae6vc4KEh8PnoTnh4fI2Hjg6511Onym9Ors3L85k0CaZOVXuij5YW1dbJsnjoIfGL6OjgXJ+PZpC8IIPAWM488wNSsgPivNXXmzKWc84pAy7hjDNQ4lxQ8YEPALrV+Gn0tLZio7qen38+xx8/Dp9vglEIqvZJHW0kgkz4wUFYsMDInsE5NDVJuYQNEIuxdq20adSVQKEQrgB6KEQ+UmUqKBoacOnUBTkuTaIzBkX9ZyKs2lp6e82SMxGhTsHs2wc4jlEVSiZxu+/G41iWEg9QBLrycvW7ylr22X5J42gmXyZj1Iv6bD/58ASX06cMoMfJGTUorbdprqegVkejMY7jCpC71rRwDr+Lxtvl7w7Nx72TXF7h9+phWZaCM8vd2o90GsdRRk/F8o5T0KrDtH5mtL6bZZFzPKYGxUwGn4+s4xVoq0AdNet4DY7vdbJuhOe4HbRV+Rz9B0oYGJDILRYDI8CpVCh0ediYMTKXvBkFYeiJrs5z7155ee9eOeVoFPGyOztlA2pooK3Nfb8ikJP3EgnT0sTIcCmF9nwezjgtL5Do4CA9vhra2tyJm0rhSkW1tXHssfLxN95AFnJtLfmQwKyxmCjrs3q19LuaO5fu8HT273e5EYZ5lkqJm5xKkY/V0NIiP+HzIf/QLrSqPzq0AWx1WJFQioul6Nz2msej6mDxpnoEutE3Kxp1EyvKsy6cT1ov8uDBAqejsPDOcUzK9d853kn++3DO4XsVxf2EE05gYEA51eqmmP3GskwOuMw/4q4F9cB1tGuKjgugqpzjkdficQlf9uxh1y7MszPCwpmMOEM6ArzgAtraxKc65xyFYEQirFqlfmfJEhK2zWSUgAN/BKpZvRpYvx5PUxM89BAvRi8XK7J8ORvW9DF27MfZuxeaS0r4IKhmj28AXpLJYp5AjGHouuu44dNe3nyzC1BrcMUKuPVWGhsV8WT+fJg7l1zD6ZSWwuzZxZx5ZjEVgRxpEHntxkaWLJHLb2qCTy7ICpwfjQp8q26ARg2GhpD7q+6xyc0r+S/TE3VgwKj46M1DPy8/WdMPq9/2smePyjVbIuWldRHIZKQXYjRKKqUY4Qqet20Fb2Yy5C2vq7ugLZhy6DS4oZ2eQw1yaWkBChIKuWCJSgAWENTNHMpbqjD/3VKWcCik+Y+wLA99/e1yeoeOkZERAE4++RT3RTVTjKxSOk0wkB+VvgHMJqYJKod8fFTiyEBbeob5fPidflPW1ZP2S9FpNCpsz3Q3nvgOYzAGB8UAm2LOUMhEGCQShmShC0TzoQo5MbUQ9Hlq5EBXRaTTjNLYo6OD+nq5TqPMHo9DJmPUXvodv/EEYzH53qztESxVLVjN3jdqLiD/2LSJyvIsg4NiH3eET4dIBM/vnmLxYikfiseBa6/Fd9llUF9PdSTH/PmS2znjDLmc9euhp+48YWIGAnjaN5vcTyiEG4VGo0YKrMraTXOzpKR8PhEQYOZM2Whsm2C6m4YGg9IQjyvKtF6FhVLuBYXkOUfaFg0PM2oDsW1Gq6yo3K/pJPBvHEeruTt0jMrpqU3FcRxKShRkqeaxMWK2bbQWB7NF7rWB2UTLykZvbMXFYre85KRQvaFB7uvevZx2mrxXXFywoYOrAJTJwBtvmGioq0tt2B0dHHOM0nZdsgSA3wKTW36AxFN/kfzd889DZye5aI3MLR1x+3yGHU0oJHfHcYBeIEdvLySBlDodES0PYtv7RO9TSRaFwwqhaWsz0l1/+Ys4dLYNpNNYiBIM8TgzZsj96ewUpqbuzqLJVh4nRzxesP60BVD3WCN7fivnimWoXj6WxSipL8tCetAp2Z9gIG/mXz4QNNPZ1Lqp/dDcCjWXDENTzZdR3C1l5XSqRBeKm2lhxFXFiJrfUgY6k8FQMz1Ozqi4aMfQQJuHML3+Yw3e20Gahccd7ZijebWHfq7wGP+YMfT37xOKtaLSG3aUltDIFLQLOqSIWHXdEBy9oEW9fki6hYx5evrhKUbnKI9fbxyKKOPzyboqK5OXdW1L7wGVTD9wALq6TIft4mJXVILjj8dgk5kMlePzur2crp0mkVA6n5GIkF/SaYL2bo49tgBqCAQgFjManAcOIJ73unVmrba0IHhnJkNVoN/AG1BQ0D88LPTSdJpNm0RMZc8exPJ997vU1cmesXw5bsFWezts3Gjk0PbvN0pLtLcj5/bSS7BmDfX1bn+9LYkKt0eQlvZQsG48Lpvmvn3qmeza5apN45Z1qLw6BoPVibdwWHK4ihLrtYWEVOj4HDgg/+XxjH7mtj2qzdG/arwTKPNoaIkeEyZIftRWMD5gnKYDB9Q8zWSEKs5ogwiY/y8vV7+n8njHHafaVjlKALi21sAXHidnfl8TZg19sLFRFoBt403s4NRTlVRdLE9//Vl8+cuKdr9+PRmUUensBE4EFI39fe+DW2+lrU0xgFeuNDB2LKZ6561bRw0o5uftQBktLXA6SpAaacl33HETgICrCRmPU1qq5uKMGcJKpo+GBsPEZ0dmAhGQu//mm4aZqDf1vozXdaqUsRo7VggrpjZXtVKqq1ONdX0+cnhdp6IAxdEQo0YBR+XClJFxHHk++t+WxShGt1E7yWSETIeqHw4EzHzxWzkXQVERpZkKVkGLLM14wS1J1YwdfdnaaOYtL0NDsmdo42ii1kMii/9Yg3foOJxROxID852Ow+X7AIqKisg7DgMD0hhRb4B6HzRWweczXbJH1WIV4so+0ZTTKKKGswwrT3lqeTwmvNJldB0dYIpftMIzspjb2mTzDIehcmyOikBOHDrLMvU1xcUySfR/hjU6frwb9jmObi9nDKy5BA2b+HzkQhMYHi6omlCLRZMt9u9X19bZiSfZw9CQKt+IRsXqOg5jxkhOS9tb6usl4hoYgPXrOfNMsO19kteJRGDXLhMVmXushTMjEVIp+aiOADS6CMium05j23K/TB20xhbV88r6KujsxEgyHXccLjdcMcu09JveQzSMY6QlFNvVOJvKjfVbOdN819wjVB+vgsJzIpHRMl3/onE4RONIxxwK7xeuJX8gCPk8g4ODLrFm/344cICSErXnhEKiB4tyxHSyT+G5uvola3tMgmjuXLk3Dz2kuiFs3ChCll1dbIt7Tfqro0PVYXZ0iPHJZCTnpvCxp55S57BsGYEAbN++ihUrIP8//8NKIABK3fxvwLA7l1T4MTmalZO+8EJoa+O222T6vTw0nYr//V9YvJhJk6YCP+Dmud1UgOQFP/QhN2LT97mjg9Qzz1DZ9hS2DU9kzoOHHqLHrmDmTDn9K65QnKpJk+QODw+zaZP4fePHwxlTsyK2rnQtqa+nOx00VTlaz1LnwLu6VF49nRZRaXDvfSYjzqiKlkb5IGovylteMhnl7AEVVr9ph2lQnkTCOJfa4S8vV5yEw+VoEai6tNTdMzTsOTyMi44UwLKFwtWAQT88SJ9FnQkYFVt4Dg1a3sXj7coLjnb8UeuQHAf74EECgWOMigmxGI6jmJAqsZS3vIbtbij+akYFAlKbpz0j85AUlh4KuYWeJmJUiX4NgQ0NFWhvHjxoFrj2mDweOabf9rrsJzA0yLFj3fzR0JCa0DqMO3DAnK+hziMTL5ksUG+wbdizB6+TNdTyvM8PTU3k6qcD4sROtnbI8c3N5CNVWgVNfu/88+nOVBAISMB34omKtJJKyR9XXQVz5hAIwGWXjRV1sHQaPvIRVqwwamtuj7vXX4fOThNFrltn6myZFtihGAvAGWeYpgdGGDqZdPGfgHSy0AYf9RhN3ZNSo9YGddR3KHab6dirWbcFEbveSPR/llXQWQPc5EYgMBoW/zeOd5K/O3QMK8Nw8KCjqy7kf6ZOJRSSDZpMhvZ2RdTNDzHqghy332BXFwJdFhczha3Mni0+TEsLEmpNnQodHUxObjDIpa69Nlh/S4vMHSUNdOGFgkBTW6u6mu8iGkW3n8UDvDwwBRGPPlnm3q23wuLFglhs3Og6Qp2dTEtvoKFBKgFuT98CkQjb2vpJJoPQ0kLT+ecz+de/Jv+BC7l9cY4VK+C444rFaDc1idl/6y0aG2WqPr5G4O1psX6m+HZw5plqLV5/PXUKS7zsMkxPRx31E41CczP9vgmGJazr7olGoaGB3gMCQZpOLBp1UhMu66uQdlZWENJpptTmdHAs9zsWw2NnOeEEmZt5PKbFlc+Hu3FZlsmYaEOcSsneM8rZg4LiO3FY9B6kiXGRCK6zqNIdJk8bCGjekgkcdN2y5kH5yYrTeZjxH2/w3knx+KHHH3rc233/3w3LguJiOju34PePyNOYNIlIRCXG1arXDCPbxvVYfD5yllC1sW1yvqAhI47yXFCMS6SI0pPskUkSCBjorKREFep2dcnKGRig3zeB1lZxdoeGJLoLZnrwO/340+rYUAhmz6ajwxUi6O1VRaKtrRh30rLoSXp02zhaWuQy5s6Fyqd+LBTITAauvZabF/tZt06gI8/aJyAQoK1N9qcvXtMjnvnChWyY/z2WLBFm6FmdPxbjEwqZCPLVV0VpoqwMOY8xY2DePPKhCpYsgV+uyBH05ehedC/fC3yOVavEOf/a3M2iYrF3r1xIXR133w2LF+9lzRpVzpC5V04+lYJ77uF7+6/kzjvldnx8fhbvt78u2OiBA9DczBbf6fziF5JbCQQkaPD+8LtiQcePh498hN+u95qOFLW1UGN1C1zqOPSHa3j5VS/dCQ8mlOzokN9Xjk4iIS8PDCi900S3a/20g+Q4LuT8/8M4Wj0q/D2aku5LgcfDwYPDRkyAxkaIRqWus6ODHZkJvPSS2ox37XI/7DgQi7FrVwHw0dYGTz0F0Sh33SX/DIWAO+9k66ZN5HfuZGv4XD79aZmXAwMKdrz7bvjd70wJSO62r/GD1ml89rNwc+DH9Deex8c+9hmghc21l3O/+rlL//Qnmpq+DBRz5ZXHMd3awo7Gy+nd52XKPR+Hu+/m6dO+xM8it8jDuukmGhth377vcccd++Chh+g65hgqb7iUzfVXMzn+NFevuRTP7FmsKS1l1sw8O3d+mNWr3yT1la+wHqC+niVL4OGHZVuo6XhCRZnCKn72WaC1ld2qF86ePbj1b44j88i2yUVrRCsztUNaeyFzqs/2Q0MDf/2rcixXrYKuLvKxGtavx5R5+Fufo75eLisbnQyplNHbzEWqjSKFdno95A1fbdw4XAw/EhGR54yIs/c7fjeXFgoZ2NmT6Jabrl4rJKtkMgrWTnTL9wYC9FkTdON2E8KNYmkqcXcd7AatrBvqOc67L8I7WvH4occcDZY59Li3hUNHRhQNNy3irXv2UBXKUlKilAZUIaaBKrUKNJKc1VRcnXYYhUvjbm5+sm4eKBqlt7jK1H3NmIFsvnv2wJln0nfmhbS3y3vNzbgQpioRIB6XczjtNFGHwWVoNjRIga/OvZkKc8RwOo4p3cOf2OY2xvvQh9jQJh0f5s6FKSERtc01nuUqXCiaeH7OxWQycOONUNazXejUC67m6RZhOlZWiirLzJkq5zBpkiGReMgL+1M1rezokFNobBSiGx0dct7z5sHHPka+bgrNzXDVVeOYN095zHPmyH+KkHLqqXIPa2tVVKolW0pLIZmkthZDtPD5VP6hvFwq5OvryeMhFnPr7wD5x/HHm1zqxIkFNGsYlTfRbLlQSL7WJOvBpasFAmQdLyUlbqD/rx6HzvmjOYqHM4DdiR4AbvviZ7BtJa03MCDGJ52mv+50EgmJ3svKMF20DWSbyVBS4qZ2GBqCWIzeA0EGB2UKXH+93JMpgOeSS3AcgZctS5yqxkZ0wsxg+d70bk45RUV/M2eq+z0VqB+VT++JTAeGgRlUlmVMucry5YgKimUxq/1bIp7Q1ASf+pT6riDwNH0LP0caeHr1aqYvnsWMGfCTn7TyteanmXvZZbB0KR/5yK/56lePJ1xXxxQAy6KrC958888sWwYEAuz+1a9g7lxuvFGd84oVTLj2WqirM8jHWXV9Lq24tpa2NglAc9Ea2LWLyZF+GhuhwtkNjkNrq+ruHg5Dezuerm2mBzSBADQ3E4/LGvCnewxiEYmAN75NIM3ayWzapIxtPM60UDe1teII9oUni+cdj4ujozz3oC9nCHFYliGkmD5HjmNShJoQpzIbLmkrk6HCJ42RDXyqajb9dp/ZF7WxLCQ8mS9/t7A09ThaXq7w9aMRU/6RGrxDRzZ7UBLog4NGxsdD3tQgKURqtMfOaKxZ5+tMEtgq6Oek834FmEBh+E4iYVQlNGyvPeUShlzlfV1coyTA/HafyQv7fAWSc44j1zJmDEQipNOyGWtSl2XhQnXqnEpL3Q0/G6qSCR7fRl2dkkCqPxdqa/Fs3MAHZ+Yk71ldLa+l+1zYt+D6uhOqlu/NNyUK7Oxkc4eX57qqSSbFUM2cKafb2Ynp+KzrLFT60eTtBgdV26NjjzWlCWPHutUimkCEbcsCVsrskYh4yJGISsDre2jbo4S/DZyjPZxQyECVmqXoZt+F9KNzdrqcBBjNKvP5TMnK0NDfEc7+6fFOiFqHO/7QY9773vcapp4hUr31FgwPk4tNJpWS23bMMYopmS8o2NP1Usif0ShotYY//Ulea2hAunzoyua6Oq2LoKtHqLJ3yDqorzeqR/pe2zb0WNX8+c8ApwGXmnz3FHMV5wB7STsB6Ojg4tk5Jk2C3sppUuhpWVKE/vzzcNVVLF48CJzImWdeQcVLTzEdmHXaaTBvHjfdBJdd1sSJJyJR2+zZ1Ne7HQgiQK7hdBWVnMKnPw2kUkxoaIAZM9i/X9ljTYpSxsHjwSWEKW9M13xaFnD88eQDQTHGyoM+9lh1T3VqRCELto0JGS0L04Ra/1YggIHlbVu2A2NQLBG5KCtTx+XzEA7T5wTFcVTrUM/pnOMh7/PL49CGKJPBS25UKUJ5eQGPQB+nNkKzH+rNTW+ejmN8SNvm7xfJu83gvRODdTRDV3jM20E3hcMCysrGUlYWkQgmHqc7IYWw2DZ0dODzFTAU9cPLZMzD9/lU7RsFdcbK8hmDpg1eIEDvHg/Dw669CVpZs6vnG6abiOqMM2RfH/aUkAtXCSyqJ1EqZQg1hcodw8OMeo9YjCx+8/PhsAQ2sRgyyxsbZQX39nLGe4UW3NIizSlJpeDuu5libeOFF+BLXwLTQuH++4nH4fkXS+kOTYPly5m84nam1/bz8styyIoVisGWSEj/s3vugUCARYuk2UFVOIf/+quZlf4lXV1w4YXD/Cw1CyyL1O9+B3fcQbW9DccRhPbJJ920Dn/7G/knn4RVq4jF5HeWL1dpvXBYIsU334SWFqoieVO2pyWfCATgz38Wt3njRixLCujXr1fnDKZ2sMKXxXGUZ2w05+T++J1+s9er3LurcahfSKXwWnkyGUFqDyMN+A+NdzK/3461fDh2dHl5OeTzfP2ub7Jzp4K6OjsV7C/nXR0R0tSePbi0PMVuxraNw+f3qd+NxUgkZLOePRs5bs4cFcrJqKvD9MPrD9fAKae4ye22Nmht5eWX4corRTxh1vrP8eyzU4FefnHjBmYCCaDq/SdJsTnP8otfIFDDnXdyafNuaYkzMABNTey47cf0/Pol+gkyMjyGkb0n8OK6fjj/fL599wizQq+QX/hJpi3+IL+s/xpXFP0SWlrI107mS1/azYc/3A+f/SwW4P3VT1mxAn76UxFxYcYMeOopdiz6DmvXYhrAbv3d72D9ejZtkq4fP1s/QaKqeBxWraIq/iLT6mWO9EensG6dEtm2bWhvNwiGbnmSi1RTXKyAhMFBkz8dM0aeSw6vKdcFoKsLf2a3q4SjmOA7d4p/4XWysHs3xOOk0yoHq5ry6RScNmy2/fdzrsBujTK6gInWBgbU+SrW85490J3ymygwFhPjm8ko0lPBnikqB4Xz+z90vF20VghfvpNxJLjzSAb11BNP5IQTJru6dF1dVFs9+HywpUu6Nms0sXJ8frSyBPJw9uxBauvIjupqYbwhcDPylsUf/ygIpuPApXNyihsNNDQQj8v3xeNuPq54sB+vkxUorrXVVK5m51xO74DfIAfhMFSFsvI7usurKvBsazPIFJV7t+Jf/VM5CUUKyC34OJs7vIasMDyMhHxtbbBsGVOnirH4xt0eWdRdXZzblMPvV6mccFjOS5UrdHRID7tVq+Te9L/2Glt37oQnn8S2YdOmBN9b5hWr3tbGpz8N55xTLMasoYEQGEgxFhMEqrxc1srOnUjeQ91aDfMb2NmICAZN+YBWQtJCtzQ0uPpnr79OZaXbfsm2VfJfM0/TaSorCxLuGkZTLrR+xjp/6zhHdrJ0lPfPjP9TvvptjnUc8HqlxvLg/n389a/iDxCPw6OPEouJQ/GL1V7KyoToQV+fi2Opjcl01G5rg64uuiOns2SJrJPpzivwsY9JHrihAe68kyVL4Pnnh6mrgyvO7yMY3yITX8vdXHMN1NcTi4Ftt3LNNYBtc949H+TRR2dRUgLNV13F1QDHHSdCK8xgcLCfnvddKec/Z46QV3p7yTWeRXMzHHusLc7RokXsHjfOzIXFi3fzzDPflt956SUyX/mKyPuo9e7zSelGbs6lWO97H4wZY7qE+FPdkq8OBMzSymSA+noyAPfdx2WXyeWZjuYgHtarrxo2dGELqVygAnw+2Qc0M19FVcPDyqAptEfzqrAs9u0rYGHrEC2ZNOW7+UCQvCUQu22rer3iYti5U1dBmBo6E+2n02IYKYjCFGlL1/mCku3z5V3CSjRKHo+r2FKQxDbnp0obxowpAAu0M/VugjTfLh93OG/2nUR0h8tdHO5Yb2kp+byQCQw0o2pEUikgHMaTEfquS2nCwJ6jhmJOaQ/q74o0VR5Ho0DRKLKD27a4go2NWJYw0bSoRzqN7PSZjKpfoIDvrzo2g+nSrn+HMWNGJYNTKbc5LMmkwE2OY3oTeZPdhEJi1NavV7DNN7+JrTQAn3wSOjul5kyrVPfbXjwexWjt6DCMDx1gxuMq17NmDVuBCUDfR27ktddg6tSobE7pNDQ38/LLRjgGOjqwysvFyqkCYd0B2rKUikkmg6+kBGbMYONGeX3uXJjVrJLddXVQVSXG3PJTXw9nn+12stkR97gSYQcPUlnSR22tG6wYB+i444wQblUk78JTlgV1dWzt9JhEvibw+nxq3mpjoGApo2rxbxxHq7c7WvmCzFEHPB6s0lLCYSWXpoo3tdM3ZkxB7anH405utWmFw0JkIhSChgZKS922jPh8Uhc3frw4ZamUWkN5F4o3FE/E4VGiysuWAdTwhS8gP15f7xLELriAMMALL6jT6QfK5LtPPBFsm90//CHccQfXX4/SylzNR2tfYd2DD/JbwB4YkM4KfA3YoOxtmq1Ax89/Tuu3v82ePWDbFwFfx9v+iur9A1Nqc0zLvCgWbNIkXuwIsnIlvPTSbnw+yH3/+2wGnGRSCSD109qqEIN9+1xWcjxO5dgcg4Nye/bscZ+fn6wwVEFYm/u8Jl+GZUEyiTfZjeNI67C9e13UAZ9Pwq5kEr/TrwMq2tsxXAFvfJvsCRMn4jgqunccslbQ2C1t+QqrsfQ8MmUrFDh8BXkCXUgftHeb59vbq9aZwjI1BGt0O9V+m/f5OXT8xxq8/0v+4WgMzXdap6cfWvHICB4P9Pcjd7qjA3budIWPCxKzo2rvVHFnOu1KcemidU1ayePBstwaFgIBs1/GYqqjgeOIsQsERP8xJETNtjZ5q8raLZ60/l1lxLZ0eOjsFMizocHVTTZwZyYjRdK2h3TakMFk4+nokEl34IC8GA6zIV5tdCoXLFC0/3hcJL7q6vj97wG6ZIPp6oJEgkAAKiqgwu6R3bG5GRoaaG+Xezd1qpIKa2nBAsJoxbN9uu2XWGxVXK45EKZur6wM4nFTQ57JyKY7Oabu5wkniPecKcixFkDOZIUolMnI/fzLX0xaiZpwv1tQHgrRnamgvV0+Om6cch50faJtk0opEenCJKUyYjqqHxgo8OpVfkMjAnlLIJnS0n+vnubRSnWOdqxEniPiSQ8PG4eFjg7YuBHHkVZvr78ut6DCl5WGePp+p1LkcGvqNHVeq4aMG4dgxrrOtL6eJ1onsH27zdixJULV16oCL70EXV1kG85iQ2Y6/bYuxUmwYAF0ff/7EAiwYIHK+/7mN6TBlLdAMSefXExN2y8FYvD5mPDAA/CHPyifcQqzZ38EzjiDFPBBwLd/P1ddBVALzOCFF2AzQmepP+44mi65hM98Rt+tK6C5mbW2DQcO8PHrvXx82Vnk5l4OzzzDWb7NzJwp0eC4cZAGvID1mc+waBHAIPPnw8dn7IBHH5V7eNVV/OLVyfSkvNT4enTTcjdv7PO58KTKYQwMKEa2lshTc1MLw1uWcqoTCXkooRA9mSDJpKiuHHssbgsfMPWKyaRqgG3b+DO73ZrXaJR+R9Ijfl/eZVEiqIUuTSgtVd1fDimmO9RQmqHWiZ5Ktu32wyOTMVyKwvEfa/AOxyg7EvPycJ8rHP+Id+u+mQfyDA0pMoNy700RtHoKtq0YgPqpKCOohZg1Tm2CQPWgbFvVsAQCkEiYjb2rC15+cwL9sWmyCdx9N7zwAl1dQt82eaRkUmaSweswEahlycTs6JDTmlIr7EfTRl2doyqbo7ZWFf5ef7243S+/LEmvZBKtjOA4qoFtrAaOPVbuaDqtGrtGZdJGoyIFhOQc+nxVsosrGEvn1S1L/d6nPkUV0A5Ma/kOU6eOZWSk1e3IkExSXy/2KxqV32NgAMaMIRubYiK4piYx7jm8kucZPx46Ojj7bPm91lZ4sSMoXoCusXvtNSzLVVgx+U7dhVnVQWmGvQ6OPeRdo+VID7CdO3GtsgpjdcF8Oi37xdCQvJV1vG67CGV0tY7pP6u0cug8fycIhz7uaOuqpKQERkYYPnAAx1HFx0NDxpEbHi7o0lIIN6mh89jt7Zhmh2eUbObNN20WL94N559PtrWV3du3Q2cn9fVQXu5j377dLFuGyI61tclcamjAH9/KueGtBONbFHqxg6VLIQZw6qkMDPyNmTOh9Ve/4rcAkQgvvLAZ+IVs2B0dODqEUcyodetg7NhvCnz98sssuOgiJlx3HaTTLFsGl1yyiEmT/ofKwR2cV1JC3aOPsm19N9x/Pz+7u5trr32SSy6ZDrfeynSA449nzRp45BFbApc33oClS7l93lZuuEEakEz40Y+YARAKMWcOTJgwkXnz1E2bOdOotJSUuHD99Ia8CGkDRKNs6fCISHs6DS0tVI7Njc4Hqw4J+/aJQ6h9aBNBKek/w7dKp6ncv41Jk1TD6PBkUyZRVqbEA3wV4Dh40n1GXcdoZIJrnWyb4WHXvxulwOM4RoYwk4FuewL6DwPBFhi8gYECdTQdPWQy7x5Is5AmDUeuv3sneYmjebdH+vxBx2FoaJjSUpW4DYXgpJPcaKizE3BRB8Ascg95Vx9O5TC0ioGm9mnlCY1PepI9RqU8Hhf4kNNOky//85+prXUhoGQSiXZKSyEclmas4TAkk9T4ekyX80xGNvuXX/VKzU00KtFbezverq2cfLL7UjwO3UmvaapJcTFs3Misxj4+8AHRmrRtyTHwv/+Lt6kJWlq46SaYNGmCXLruNJvJsHu3IorU1sqXb9o0ynhlMsA551AVi0lerr1dKYeVufdFMcH+8heXdGK3tsLKlfidfuP4q+BbFsPgoFQyt7VRWdLHgQNyD1paECgsmRSD98Yb+ieMnrYxOBrzSSQoKZFjdOBrmKImZJOf7E543E7cXV34kzsMqWnnTtmrDWypMbdMhqAvNyoK/GfGO4nijpa31u8fui6y2SwUFVHs9XLMMYqbM3Ei1NVhWaPTnr37vJj+LtqrUrVfmQxujUc8zkc+4qOoaAK/bZuA/zOfYQLAM89Q0/GEmgtB0mn17OfONQ6VwcZfe03KGWhg2TKwvvpVAHy+9/D661AFks+97z7+3/+bDowllXqD7OKvYU2aJBennmFFxwa6uiQ1+IP203li4RNSMLdyJefGHzPCLtucGrm+FSsIBOCJ9mpeTFRTWyufJZmkqqQEIhHCYZg0ySf7RSwm6yoWc4k6mYx0bIjF8PmES1Nfj9zg5ma5V8kkM2eKD5eL1rCtS4rY/WRNc+eSEvX9tbXGCY1EMKpLilBryFQGQg8ERpXYlJVhyG9abtCykJy3CueMoAb8nXMzKketnn8h6XJUeghk30v3UVys8v0q9zKqh54lQhzl5S7fS5eFYdvvnn54heOd1NUVHnvo54507OE+oyHKA7kcwWBIJlOhhBQujo3PN5psoMFmBWmVlmJCdy2iqidIKOS2jtEdSbXTMjysJqTeiaNR0ztMQ2VkMuD1krUEihi1ERRo1CWTEj14rbwYgr17TRsO1OlpnN1EpAUKCGREgX142JUyJJmUHNbcuSQS8P73q5raTAbmzePp1iDBoOxRvP66LNxzzqGrS75HyyHS1gbptGx0H/6wRH1Mkk2sqwsWLOD735dzvOkm4KGHcABmzuSJliDr1kmqo7FRxFqCbc/J9U+dCp/4BI+3iMpEc7OUW7FihaysiRNhwQJWr3YD38ZGOLehX3bXVEoULuZ93Ii2XHghXHFZXs7Z54OmJnp8NaYXYXWoX6A5XY8ZibBzp6tgpVVa/HbfqKR9vy2Qpk7K/yvH4SD9d4KIHDo8njwUFVHq9x8WdtWIvmUpgo/O4RXA7eZPDUEpAsXIiBBT6OqSXX3SpALPoNid75q6rEPqPXtgzBiFePQK0pBKwaRJ2LbN+efDFoRtzWc/y4MP7gYGmTDhRPy33SKL+M476Y5ISyE6O6lIbTP61V1d0BeolrkbCBCLCcdlcmi3GJcFC2hrk1Otr3erWUinoayMHl8N27cPUVwMfqdfnD7VqUMXduM4Mp+VMMOYMQUNnDUao7oUhMPg7dxiJL+6U34Ih3VTD3nxwAEIhdi3T+1pihprEMZMBlIpk3IxE049n5ISzL6mOXg+n3qegYBbK6q8w3wgOMoohUIYjU0CAXJ4TdlOIKDqhjXTReWx86EKoOA9Ve7lOJj5Y9uu3n0goIQP9Am+W7Q0365I9kjGr/D9ox1/uN/SY/fu3bRv384f/7iBUEjJJDU3QzRKXZ2SMbIscoEKd6IUTB49AcaMke/O2h4pbNaekc/nRhOxmHhZ6bQJrkAVm865VPC6RILJmc184APyM/G4NCwdCY3Fb/dRFeiXxaG1mJJJgr6cqX/r7ITN7R4xUuPGyeJ4/nkqi3YbIzs4qBigxVUyq/fuLQiN5P+2b1ceaHs7nHIKWwOnY9tw3XVCw2bcOPrnXk1rq3irwdan5Xuam9lmV+M4riNaX48Yw0gE/3XX0fPeC2logJUrfVza2A1z5vAD+2qWLxdvOHjP7XQPDIguYnMzHR1yPm+9JQb0rLo+CYtTKWhoIHfZlaxZI/dy4ULwr3pMdrGTTpKi52Mm89Zbcn/q6tT5dHRgqnLnzNGXTn296semoc5wmHz9NE2ulc1W50MUbpvFbzolaGNQEcq7hZGqQLcwnfHPQppHGu/U2Tvc+5YF3d3dUFTEq3/5C8ceqwhEp54KF1yAJ93HvHnivLW3q410cND9gqEhiERMBN2f8chBK1dy5pkAXdJ956abYGCAHZs2wdq1WBYUFZVodr6cSGur3Lf3vleeRWkpXV0wderZcsyMGRSdWA18l4q7P0cb0AdiqXgDCEpO8IQT4Otfl64bq+6Vrsbz5/N4x2SqA318dOZuIhHpMZudeTE4Ds3NyoGzbfnsvHlcXPwU5z70Udrb4corn2bJErBXr6YtnabK3sHYsSXs3Qs7UkETAufDE9i4Uc2Z+++Xfnj19cYxMiVGOk/sOC5UqJi/uoxIG4RYTP37pJPoSXndFj4KVtQi8zr9oZWcSKWkRCedNsYEoD9QZdoyGdJKJEIm4zrpunUXMCpnDfydQ63XgEG5tdZYIGCcYGPoVUd2y8LAZ44j24htK96DFjQ4jIdo/d0r/yFDe6OFEMzhjnmnRuxoxxf+FoA/VAElJVjF4PH0k4u8F++JJ0IqxbhxE4yn6rX7CQSCpFJQoSjAh+5awsgUGCJre/ArAD0UktKEbHkFftV7xpvpIxCoMK1oOjpg+rx5pkhs2sI64nG/UfsxHczBhRe0UF4iQSwmEYiBoSLqvdZWQ6mLxcR72r9fHOcTTsDF91Q7nURCFrsWaO+/9WskEjKnb5nXLRPzoovYEg8SSMHtMzbQ0dkJ9fX8dua9PPkkzBiCj8/ukd+uraW3dBpb33cjdTfciOd3T1G14lt8pzlGd9Pl3HxPNe3tYutffhmCK38ALe1Uf+ADMHMmucazyKwV+93crFQ62tulkPDss+G00+jokKhs4UI4tykHLRFh3fh8MH48Bw/KpqPbuFT5+uQ6GhslerOqDYysPd18pAaPgiNtW94LhZSChW2LZVR0Ms22LS5mtFSSTrKqeVIRypO1hdFZqMj1rxxHKig/9LUjraUSpT6+8uc/5wu33SDz/5xz0EWIDQ0VFBe7XSuCEybIe1ofTzHtDIpQXw+ZDDddA52dJ9LSAs/NmcV5p51G+IUXoLOTFavkK1avHiSdLoPFlnxOY5zXXcfW1ATunfcixNp4bMXNfOxj44HP85vfPMB3PlQEwM1NTVx69+kUFcFDD53DmWd28LXVN7J2sSwr/8qVMtGAS9tvJ/PhOwisXcuVV2aAZ/n6139A38AVfIsr+G/g9i+PcMcdw1x3nZ8fPLmQnmSSrpk/A8Su5p+HKIDPRyAAO3fuYt26ify3at3uuekmmpunC0J4222ElQjs4sVC9PKTJRepxqsw4HyogrqwkhgMhUjFVamD3QexGH9ukzlcrTTsws3nuaUDqr1JSVJHnxgd32OPRfrhKup3OKNLAyySCVeQiUAAXXtTHVKRlW2xZ8BPPA7HHeehyknhtyzR/XUCZk/SBlELo+zbB+PHV+DRWpuqlm/fPjH0/lgMLItYDIK+HKQtiEaNATz2WFxRW8MCPHSu/4ePIzEt346I8o++V/h9Ab/P4JSZjEfgwN5eU/ei8e8+R3IMxxyDUS7XEVYgIAhD7x7PKOlETR3UQqp+p988xKxPIsayMkFstm9XJ6QjLds2/0wkoHjIdtvUKNmQXLjKZSMic0IrjZNOj+Y045IqjjlGcPLeXpT7iWmYGo0KWrd8ubwUbHuOKV1PAPB4W7XAQu3tTEs9RzQKO6LnykLat48Pzshy/vnydb3FVUaDEZT2XvtmSehHIkb/s65ObFNDgyK3zJnjqraHQliWvL94sdzXO++EDdZ5cv+ffRbWrCEWk+ivvR1UgZ/cjLlzSRMiHIaL5+S54AJZPzvSFUIUUN0pdCmHNlyBgNy6fKjC5CZMmYLjSLSqKK/9VoWR1Bw7Vm5nRSCH4fBr5o4lffMsC6qjeZde/i8aR8tv/31G/MjHVlYeC0NDnHHqqS5t/oUXJKJ2HNra5BFqx52DB10FINU/Sivftbcj96C1lYrEFjZuhFdf3StR4wsvkATsJ5+ksxNWr/4dsNUQGFI//znOD38ozykcZgpb+cXOszjp+zdzwQUw8uVngNv50Icu4uYbbgBgSWsrV1wBIyMX8alPXUQRI1z6lSJe+dh3qa+H22e/Is9DabAGJk1S9OpTgV0MDPwQq64OgB8AX5u3BWjlhz+8mqvP30UHEP5EET/60Sz+53+G8H/2s9IrLxBg586ngPvp7ATnwQe5c2CAnlNPZf16uPHGa/li/JPwyCMwZw6zmrOSAunqwnHg6RYvGzoqWL9eRWPPPw933810awv79sHTbRW82FnBunXqeaxdCw8+iDe+jfZ2eLHVI9C9JSIXBw4gHu3atdTViZ7tDmoKaNxqa4jHmcw2wmF5xD1UGTJWzheU4xMJKsuzUgYE6GLWPXswThDpNJZlUFQcR+loOrlRIhmBgNzuzk5MZGsENwBs26Tr3noLF9bW8+vdxtLU450wLY9mHI+UzztiDsPjIRJ5D5HIWAOf9DlBUwpEPE4FfYRCan3oqkzLgnCYAwcEl64sl4JMw3FQmdeqSJ6xY5FJVF8P0agIQCd3MHWq7O+Dg5CbMUuy4XV18NJLLF6MKqKFRMpHrvk8N7JIJvF2bkHrMmnSoOnTlclIuHHCCQJtptOm5CwWc4kHmxMTRLMyGoWWFqqTrzB1qttRSOcWNFlHL1Ta2/FaeVpbob94rGx8a9fS2CiT9U9/whi78eOhIrVNsNvKSnovuJrH1gSpq4P/rt/AJ2fuoLNT9qF7V8qiSyiVFU/XNtavF9WWrq6CtkBjxsgiaGujItNNOi21wY+vD8oFrl8Pt91GaHgvnZ3w2AqPEcyOROSZ6g3ak+5jYACjZZhOQ2XRbjytL0JnJ44jv93Zqa5JOzvbtxO0d2tOiimn6ssoRQjN67dt8pZ0t9+3T6C+I9Kz/4/jaPm5w6+Owx+/f/9e8Hi4/KqPUVsrUTUTJ8LChfTHpnFu3W6uni/l/l1dyHPQfWFUh4MTThAkMhBA5vK8eeA4/OpXcP754yRK/+MfqQZsYFrX41x11QcoKZFo/Wdtkwl/9rNYF10kjsWyZfDmm0ydCjfcoGj4t90GbAV8Et6rccWfPgdcAcCr7UXUX3QRTJzInDkqCpk/X+pSv/99Etu3k19wNbAJqMHnuw6+8AWuBxYC3HQTra0fAb5PJgOzVqzg4ocfprMTHn20BJYvpwboPRDE57uQ8vJvMmMGWL/+NbfFYlTdcAMLFsD55z/CN85+Sho8r1nDN+73C/9CEZ6am8U3rK1VKfnLLpPFUFvLSSfBrMY+zmrMUVur1uQ110jVv23T1KSC1kzG1PeWlKhn1txspPtqMlsgnaZ3RATpDx7EoDuOI4dXBfrFI66rc5vPKk/P1Bb7fOTxuDlAhWHqHo8a0rRtt38eYIyZIdEo77LPVvV1qZTJORquhP5+Xcf6bmFpvtPxjxq2dwSDqp2nuLhE7qfi1Gr83JNxozLDrNNvKs+90JvRIsLGGVG1ePpwk6VViRwNBUSjitI9bpyEOxMnEgzkDVuzuFg2037fBKP/aCBOBahr8WNQArR1dRJ2HDwIiQRVoazB3jVj0ZwTmImla3dMW59wmNZWMQaDg0gUqtzNri7lLSrvsUBxS3I4ti2K6du3C5563HG8/LJb7Mr69bB+PWVlMDDwN8nFNTSQBnricdi4kQMH5Ld1jVw4jGCCOnehyDamLv+kkzB1CLt3G6jyr3+VU1ekW7f5WjzO8LCcok7tGVwmmaTCl6WyUl7qz6j8qJZlsW2joasVKzKZgsavBWzeQAAjrGyUK/5N40hr5XDlC4VjZGQERkYIqPmeTiMPU5Wa9PsmsCMhBj0WQyaEZjgcOADpNMPDcutMbgbIN0yntxdT/M+bb+IrKSE0dSo0NRmdU90VyNxU3c9peJh4XBCPdBro6KCo6BzgdLGuerzwAnAxMJFt2xBoIBzmppvgf/4HmUR1dUQvuojoJZeojX0WcDvf/S4QCBB54AEijz4KM2Zwxv6n+fWvy8RIH3cc2QWfZN06BUmHQuQQ5+i001zYm1BINMbmz8dxlNPwhz+Y2qGuLvV5JZzpT/fgT2wjGi1oCBuJkMXvogrxuObUuIszFBLySKbfaHkZR6rAoxoYwBDsxo93SY8acvf5CorXAdJpQbL0RhAOG/UlXZ5jDJLay7K2x+xlOkdt6pYVacW2cdVYVFnX0JAq9VKGsaxMPjc8rAymZlFroYxRc/w/dBSWJRxqwPQ4aoTG30eF79T45fJ5KC7mb3/rcj2P+nqT1jKMzWTSpMz6rAl/x3oymm+FQz11T6Yfv09p5FkVUp+lQvWK9A6Tl//FMxWiQpFOmx4+0ahsHnv2yMtB+uWzetIr2nc13QadNKUHTpUbyqnmd9GoYkkhqEcioc5TJ//CYY45RjQLa+LPQSzGLfdXs2yZsB9r7r8ZLIvsmqf5wdoqPvUpOKH3RVi3jvzCT3LTTbKnnHgiIhGli4zLy+GSS+ipPZdoFO69J0/Fxidg5kx+G/0kP/oRvPe97+FXvwJWrqQeqLr2Wqiv5wMfkE1D052DvpxssiefLJtGJIJl4ZINMhmRK2tuNgtaLzSt4mBCVsOqkX1Td6nOBSrE7VXSKUp/273/5eUm2iusOdSL3uPkRtH1de5OJ/z/2QjvnaAgR3r/0H8Xvjawfx94PBQXB918Z10d+ZmzpHVNYis17NBKVpKMikblD0XRV+3z5Bpra6GsDE9qN2ecIff32Wdhy9Qr5Xtfew3WrmXBAjGgr746LDZS9Yfj4EHIZOhpvJj2dnh8/i/xH1tEd3g6IyMXARtUMlrGy/e/BHwPWMQVNZvgoYe4etm5nHjim3LA2rVicevq2Lh6NeETipg4cRxwDZ/4xJehoYHWT3+a5z72MWhv56wls/jwh99g1tBTbPyv/8K24bXXbuDhhyGxfTtxgHick0+WZ79unTr3TZsAWQu1tYghjsXYlgy6pJEChfh87WRefVWhIfHNkEoRjxeUQYXDZDJqfnZ1wbhx5CLV4jgpfFmnulIpjJEw4hmWJWiGLZqwxxwjx2jSSnk5RoTbYPy6DsuyjIOMZRGkX9AsxSrXx1dWyn/FxQUZFQ1/qBo7LV6vb4KSAB01dFCnJczyoQrJGb5bWJqF42iG7mhG7Z3WGR06ShT32uOxRCReUxmRh5a1PUaSBwrgSm3gFEtTP7WDBw8pylTflXM8HDhQ8HB17J7JEInIBNy7FzZ3+gXf6OqSGrR0D3/9q6utaRguWhhaS7en00yrzVJbK95RMqmO13pcqshaY+22jVs/qGmmtbXkQhOIxaByvyja5yNVxOMu1R7LgpNPpqtLPlt5sFvc1WSSPXtEIGPjRpUf7OqSqtv2dmho4OWBKSSTMD20A5YuBZ+PDZzLPffIXF6yRPXm27VLIJu5cyXaS7uImWmjlEjA+95H/8Jb+G1rBaGQkFampTfI702cKJRPJVysJdXq62FyrWJQKqLOlk6vkTRrbJT903EwNFPdoTwQwMWNFQuun6CpKNG+kSGtaHZZIGBSEB47i9fK/9MG753kp9/p+4WvlSp9rwMHDoya11rlRl+/ztMBbuJGWXyd88xkkHtcXg7r1lH5xgb27IFnntlr9FXjACtWMK0up5bKJlauVN/b2mpw7I4Ota+uWYODMix6qDogLzr9+wHq6lTvhJtu4ic/GQY84ug1NIg1/va3WQ+0Art2bWXv3ieBxdDSwjpgA4Bl8dJLDwMrYO9eUuhr3s2JJ0IbUg6Bz8dDDw3x2msvSB66s5Oe1lZYvpxIRCEK558P9fWmm0dFhbo+JRWoBaX37EHmf0eHKxMYCpH1VbidQNRa9lp5qflV8ILHzo6SNdSMSi0mrWtCy8pcp1cjDUahqLQUQiH5jFLBz+NBtfL7O2RM45ealT44yGgjpqNA2zYGWZ9zHg9lZcqwFRhAdevNHqsh0nddDu/QaOwfyce9E+jmsCw1x4GRERx1Y/VrmoCZSiEzZs8eE9RlMrgMPNt2O/I6joELUikwRTBqE1AkNvkdDWgHAgQDeQOJpFLQF5suyfpQCFpbmT9f6kGTSehxJmConYUYt0rw1tXJmhahXdjQ6hXDoQQkg/EtTAv30NAgH+/shL5QjVgCnw8vOZfq3NWFp+0VGhrkt5cvR6xKLMa02ixXL8i7orpnnMHvfy+GTnM1TK+h4mLo7OSMqVm3MHfePLLNs9i1SwzRZZfBxc19kkg76SS49Va6Gy6mO+mlsVGY7PPnq4WqLF+24Swjv9bUBFPsza4i95w5PJeYzJ50CeGw2L7Zs13Il4YGmD2bfP00QC6/2uohmOmhvFzs6Y50Bd3poFYeE4k3VU9IKEQ+UkUiIZuUjt6iUdX5QrNfAwHyPr9LJlAex7+zH96RnLy3Q0kA7Jyj2gM5MoeVBqOpJVV560MFGMhkZKNWxAmtPJO1PQIlqMaPYptKTDeJNMDQEDsSXvVVEgFpQW8iEaitdQUMZs4kiyr81uPYYwEpPJe2QX8TlPOVV5Q68ybg29x9NzI/TjxRVFmAWT4fsIqKC8/kuOPKVDsQNerqgHnA+9nScDXtQOTUIuB21q0bZi7QAPSEpyGmM8enPgUsWMBzALbNT36yizvu2ConnExybm0Pn/40FHe9Idc4cya/7ajm2Wdl7R93HPCb38CqVVTQx+uvw2/Xe2lpceUIWbcO/vQnco6H3l4l+hyN0p2SRq21tQjzLJMxz8GIvOLW2ZJKURXJG5KtEQBXesDAqIJyMzQrT1siZRS1GJQeJSVyDwo9fV0WhWXhcXJChinAQguJ6IU/d4itA/6DDd6h4/8arR3puw4H4+hRVCSU5vPO+4C8oO6sZsNq5X6AqtQWGhtVbVyiwpVKsW1Ti1Lhy3LssfJSNjDBKHL4M7upoM8Qm/ozHhdfS6WoQZLX+/bBypXQP/ty+Wx7OzWJDUyaJHN2506RX8rXTSFrBaWYWct8tLfjTe/W+7Fhdj/dGjTSRRpKrba3ceWVskF3dEBf4yx66mfRu89LMK1ybskkrFun1yoLF8LTiSnw+9/LAu7qYsuMm8U4//WvXO38mGXL5J4tXgwbyi8US/TnPwu98p57CASk28INd1TR2gpXTNrMD2b+kiVL4Js/rOB79d8TiZd166j+ydepTr6Cn6zhirS2wmNtU3guPR3LgvMyT3Bx/DtMzmxmR2g6z838Bt3zbgHb5rzIVsYP9eDv2oIn008qJfvAcy0eNqdrTF+/aTufoiq5GSIRtqarWL8eE8FWB/qYHFJaguGwXI9yDjzJHpNj1Z51MimFwv1WhXkuno4tVIVF2b476aX3QHDUxvCvGIerU307ctehxwMMDQ1BURHZbNZVD9q7F9sWuTvq6mDNGq6eL6oxbyZKJCzWeJVlMa0+z3nNOaJReV5b33ulwJNLl/LFpue49togDz44zC9u3MD0G26A1lZqFp7Hcw9t4yMfmcILL9jcm/kkPPCA1ACGw0wJdHPz7G0AVE+dinfFj4E7Abj0vW8yS11LwwVF/O1vFxOPQ88lN8Lcuaxc2QTcx5e+NMwTNz0N99yDDp7W2jaf/eztVLzxEjt3tjB94i4WARXAE3fdxcjLfwXOYdEiWPLZz1J1553U1Z1CeXkxPPwwtUDV2h/w+9+fw913v594HJ5e1c+CX/8a6up4662J/OY3U2RiNDXRW1zFyy/DyOQT5Z6k03xwRpYvLs6bdZZ/6AewdCn9VgWXXAIfjG3lg/WSsli1Cllczc1407tpbARvqgcSCaqjeSxLkYnOOQfq6hg3Ds5tzhth956kx2Ucq7YJOl1qCtp9PlpaIFs7DRIJvG0vml68mYwY2KzjHaWC7iFPOOxqsYNsITsyE8SBTafxdmymoUHydHnLS+8+0V3N+qQgXTdq1qL5Gso0MmOHKCG8awwevH1Zwdvl7A499kgLHMtibHk5e/fucYkEHR14nayru6hrjGIxLQAPQC40wYUMNXyZTpsWMwMD0DvgF5UCFTEFLemQbnpNafkqW/qIHTxYUNZgWTKDYjHGjBG7MnWqzN21a92m53R2mmrxHmcCLS1yKlXhnFuvqSUMdI+cVMoUo7/0EgYyqty/Ta73+ONlc3Mcqn1SnDsy8poUDts2iV/9CpYupbUV/pwYJwZVSYadcIKrPMaMGbKwk0m47z68rRtYswYeeujPIvK7Zg09V1yBp+l09u6FG2/8M6fPmSDh2O9/Lzjn3XdT0bFBN3pm6VKxn+vXIx7AXXfBrbdS42yjo0P+fGxNkHzdFHEn16+HlSupSm9lzBi5VcuXiwwbjiOUUsWKUQRY2tsV2qSSVZ7OrW5jMa0EEgqN4g1VRfKjI3ztNSlrqOFOrTn4rxxHgv0Pfb9wFK4L/f/vec97FBvOERRfOXX+dA+2DT12hVxsImHIyv2OXybPwIC5R3nLa5aFiQbTaQiH6eqCurpigadDIVFcUW68yPKViDpPOMyOky6UiX799ZBKsbXp4/CpT8H69UyadAoAq1f/kbOUfNj3gOo7P8lLL3WxcuVrzFpYzRXn9DCy/wB/+EMxFzd0w2mnMf3RR7kNmHPccdx0E+zblwAmMHcuBIdHuPnRR7m4qQk2bqS1tZjn1uVk4pSU8MYbMDDwR3rmfBL/VVeBZTEr9Aqfv2grn/mMPNsttZfCrbdqmVopNVi2jMo/Pk5zs0zbFwOzeC5eI9e+ahU1mS0uAhGL0dqqSnUUG7m+XvnjWgssEJC0VkGUZQrVFcOut7dA8Ny2qQrnTNUPoRBZx+uSkxxHCizjceOY68hQlbQSDORdJR09v9ULOhLTJBhN0CIUMgpTlgWVY3N4Et2MGeNK+WnWmZ+sSbs4juTCDQFGNSZ25+9/6Dha1PaPEFXe7ruO9N6+dJq//KWN3t5doxK2gUDBAwMD1yjSkdTsqTxN3uc30aEmMeg2KgYCVUypAnECN/ETiRAISABRV6dyBUrxhVSK0oP9QpjALRlIJBSzU7Xq0Tp9Wi6pd5+XhgbRWCYQkLyWriFUBbhnny0wSiZTIJYcjYrXXloq3x2Pqw3aK+hRKCQFt5WVpkqCWMyQfU47TU49FpOecvkFV0svskmTYMUKli+H0047hV27oG/R16j68pfhQx9i4UL47GdPEUFpEJbMsmXyWdtmcvsv+dbiPj78YVnjK1YoL/666+T6V67k5mv6uewyOfVNm5Aoec4cN88Z6mbhQrHD+/dDtuk8iVZnzADbpjqz1dQF7tsnNU59kSmYdg1azk1tMj6fW4rWu0dUdrSXmre8o3sGFcwNk5/5N49DDdrRjgEYVEmUZT/8HiDXhM9nxH/jcWRu2LaR5kqnkYc9fryBxDzkDcoQCECu8SwpT7Btvv1tITH+5jcIVj1zptzApUu57jqAIR56CLKRGmqsbjmxxkZDW+ekk+DVV6UyAYDVgnfrkUwiPQ4OyD9bW+HBBwmFYEO8Wh5ubS3WVVdBLEZ159M88ECUM8+cQlubaLhn510Nl1wCmQxnlG8VD6i+HoaGBLYkKhD/FVe4tMd0Gm/XVmbOFPLGy6/5jSAQBw9KyPP661iWIbQaYQsNJ/p9eUmRKAjAwJFKOCIUgn5U6Y3jiJqMkq/TJUmGxYxbG2fgykO6ufitnJnaNDTIs+7ooKFBnYJigxpY0XHw2FnXkVapmX5bIGmvJedfOT5vYPs+KtCFp95Mn5EVsyyByQMB9x7kLL/Jd3udrGmcbNswUjK6AexhUM7//PGPGkOdw/hHjqe4GA95fD6LPttPxbhxhkxisGwlIaXzOUZnEpmAlgV+GKWTWVqq+qdpRoOyclURUdzQiZ/ulJ90AqbVZpnsxJncGJP6lFCtgR3485/BtmnvCtLZKfO9uRlY1yIL+tRT6T/nQlrWu+m9SAQmWzskF6JFO+vr6U56FbIpSjKzZ0NF1yvQ4SNXN00gkm9/G/bvJ7/qcaJR2LXrDR5++EQ+ueaDOL/7HdZvfsNj6YuJ2nBCfju80EP22hu5c4lc+4wZMDncB2vXi5uaSsHSpdy84nRWzRQbdkv6djjhQbjhBn4Q/RqfOrGfSZOCkmuZsUQuZOFC2ShnzqQ/42HVKuHB+HxSilV1zy2C88ycCTfdxPdWCImkqQnOmJql43fb3OTH+eezodVLPO5q9vq7toi7PWaM3Bt7Ap0bZcEpZTLJyaWdUaopBAL0WxWkk6PlSHWg7/MV9PNSu4WjYMyCaoV/yzgUzTjSe4cbIyMikbJ961bmXiJi3pUzZ0IiwQebe9hhV9FtTRMa+1uSW64OZyFtu5B5IMDWTqGpNzRIbjRvVdHddDmZDEyNwRnH9ahI0ZZN9eyz2XHmlbQvhy98wceMGUo0ef162bxVTnty/GmIRPjaR17nKx/7PHAaI7+oY8kVUnu35JxzKHryl8BdwFx++EPgD13w7LNMGzMGFi3iF7/yMnHiWZx7PYKOBKTNkLYJdXWypEIzP8f0cDfcf790Mo5E2HDNj3nov96kvPx4pfozRtAQLQrR0IAVm8LLL8u0tG1VS7ugRW6wkpjLZOBvf1Noke74XOBYZx2vW1NrMEgpBwhaIs2Vbzydrjaoro9AVxdVoSy1tX6Zd8cfTw9VpFIqFdnZJd/l8+HIV5ELTRhF+CaTEae4tpZIRDWSTtmi8ZkoENOwLDXHPXjVhA9GIvRlvBJN4jdawNWR3GiJPY39BwIM7BMfqSaag/aUkRrTQYW+XzgOFZZN0YHsIXP5XTiOXE3kOeI7R/oOPf4OyhkeZnjEg9c7lopMN7z1Fvn6aXR0qDmoCsDicTfU9lp5mYTKwPl9eWPANJtq/HhMJKA9trzPT+8ej6uG0tlJdTRPOi0eYa52inrA/fK7Su5iKDSe5zom0N4u8+bUU8Gf3OFOplDI1FJrzUjHQWazpo6qaLGabnw+TG3d9u3IwU8+iff+b0FHB7nPfomeRd9izx4Jsi67TGShWLFC7txNNzFjhtjFN61JUF6Of+m3uO02uWcbNypFExX5EYtBRwfXXCMRZ2cnYnFsG9avVxHPs2zf/kdBeV94gW2bNsmu4Tg8tsLDNdfI7wUCYuymrP0W+fvuE7jk7rv5+K0VrFghEdbFjT1wzz2iHwhw5plsaPXy0ktyW5NJdf+WLxcLmk7T40xg7VqXBFpbC8GuzUYImEhEdiiFOwXpN4i2h7yhfGsiZ97yuhYwk8Fv5cxCNjDfv3gcqRznSLD+oWtDe/GLbr2VeFxtyC+9BHV1bMtUEYtBNd0MDsr8GRlBbpaWkFLfnUq595lkEs/Pf0p14kXa2oRD9URbldzo226T7ud//StdXXDHHXtZsQJmzVD9Dpua5JhPfYqnk9M47+5ZEA5zu/1Fpk79JrCJ6XdfzhJ1/kteeIGRX/8W2As8Lc1iZ8yQH3UcuOkmrpi4QWA9Ff331Z1FZ6cRACKVEnRgeqxP5lB9PXz1qzA8zLmxbqCTgYEWEVNYtEhKb+rrZT7X19PeLvdR1bhLj9hkkqRtQ3k57e0Y6NEwKvVQqQ8/WbekQLErfT6xRwAEAnicnKudWVpqoiZd8F0VyRvymlmDtq2zJHjTu0mlxKfYvh0lsNsLjuNCnLY9qmG1dvosSzl02rt2HDPVHaegQbCm7Kp9qnePxyXzqcs160R1bNea4Xmff1Q/yUO9xP/YCO9I+YXC9w/ntR6WdfkOvnvUcBymnnQS5ZFaSkosk1zJZDBF5Ng27NuHLyKOmM8HFSH3K0w/J8ehP+Nhzx6ZmJ5M/+iHpDwjrTtsPLdUinBYjNnevTB7dhDPmsdNp+d83RT2rO8gkxFDp1MeubE1eA32IDCKhtM0HLsj4aWmqUkWZTJpVGJqojkaG720tUlB9hnzm2RSqt473kwfVWGBaqLRoFEl2hyvYPoXviCGOvkKDzxwOrkDwzAUgIYGo1YSjaoWJBs75TuLi+HAAabXZZkxw88bb8Dm8CymP/AAxOPMmAGnnXaJQXc8U6cSSadhzhzy4QnG1oRCco2nnAJkavFcdRVEo+RCckwkooQ32l51vcpp0+jOVJBOC3wbiymERYfr0Sg0NJBMuuUPsRj4Lbfjsm586XPAa3S1wBt2cHwV9CQ9OI6oRmhY2YgWKGZjX8Y7Wnru3zyOltcrZD4Xvu/xeKCoiGj1CfQWBB1Eo6Q6YbKvG7q62FNWTWcnTJ+OK8KtcC5dWF9WJpdfZVnCuY/HSRSdxTPP/I1Y7D1cXNtJ/Oc/JwL4fvMb1t0NoJh6jiPkpVNPlaTt4CCz6nuILq2Sjbmpidfueg2QZ/WdV+U0LwW+0XkpkGfy5Dp+fPdunus4nWvuOZ3Zs+EHc56ABQvw7dxJO9BwySXUbXycPXsuAmr5zW/uY86HiqgGdi+GCS+/zOk3yWe/dmcEAJ/vA0yaBNx2OVtfe40pb73Fd9bWsGZNDfX1km486/mvw1tvEVj4PdatgyvuvpvIsmUwbx5dd0q57fnjNiujEiV32ZWSy0rClAjQ1cW8edPktUwGGhtZu1Zu9bl1GZN0nzhRHGQmTqQ7Kfm4aBS8qpbH56uQuaZrZxoaaFkvx0yx0kyO+Dj55KDcPC2EGZAm1b66IP5UB35g3LjJYrOiQRA7iJ+MYSxjWaNZ7Gj/34/HcST6DQQYpIYdg15qYmHGOpJWsG3wq4SvTnlrEQe/ZsPL5DxkDr8LxttFaUdinR3uuLc7Vo+hoSFyuQOiHqBq1ny+Al1Ky4KDBykrc3s19aU9oyuIVagepJ+xYxWbSevR6V2jq4sg/di2avKoQ/x02hgqkyzW9QWBgLD8KmzOPls8Jx2ZmWRvKgV/+AOVgztIp01pj/HucuEqgewsyy1paGmhudntyPBci0e86fJyV0dLeZvT6oW6vGqVoDtEIqRXrxZCCfCn9mKysy8F2+bcut3MnSun1dKC4DknnSSQ7MMPw+rV7N0LjzzyN4GEwmH67rqLYONkrrkGXnrpNaFV33OPXMSKFXi+/11mNezmggvke1etEompzbFLIRIhf9ddeOddzK23yrr++tfh5fCFAoVaFqxfT3XrL7m4uY9oVLQgly+HF53T5Zq7umDZMqb7tqJ0w1m/Hp7b6DV9x+joIJjaIXCvypfqFhW63E4/ar3wc76g20smnabC6je3/5/th3ek8Y+ymGE0AjI4OAgjI5QUS95kzx7E6+/qIp2GHU41+HyccVI/DQ3Q34/k13QTPNsmaGWpq3PV33QZClOnctNNcP3175Elcf31xP7f/8P3gQ/AypXcfTdcd10ZtbUK7Vh8O1uOu1Am/X33wSOPEI/DZt9ZkE7zhS9Id9TVq7u4WZFWHge+mP4cMJZt217jm49M4LzQZlO3l5t9MQD9QEMsxoZFj7Nnzz6mTn2SN964j4ujm2l5doTHvzzChD/+EWbO5JXopXxt/lZYsIAN8WqmTlWVELfdxpTrroP585kzB55btoPvLHiF2lrY8ZEvsWH+91izRpUJtLbKpFL6lgcPQk9kOlsDp9NbXIW3aytT0i8yJSTzK18/jfXrZZ1jWbBuHZfOzVNZqchyjY3k66aIcVFi0qWlykj4JI2SD1UYO6elu7RRsW3M/jNmTEG7oFzOaGOmUqA7tGqdBb+Vc+viNJlBeW+OI36tZmratopQdSsXlSYKhxmlv5lIuOfiJ2t6/Nk29NmKEQrvTmmxw4GUh46jGcXC999pHZ8zPEwweIzbtPCYY/A6QoU3cEA4TGV5lil1ohmXTKqJpzY8Y/iUvJaeVL17PGIcR1XjqvMNBA1T09u5hVBI9t6dO3FzP7ol8IEDVJb0mbxyZ6dMpmx0sqiKpFKwdq1hkGpSplFIKEhaAxAI4PflOeMMYVV2dSkKsa6+jkalxu7OO6Gjg40bYWTkj1LWZNskARIJEgno6yvIt3R2kkxK2u4vf1HNUi0LXniBba+9Bn/4g2rlcz+bNu2C11/nFaBr+3Z17mnefDNBfuYsOQ8tNNrSwhljtzF3rkSybW1CWmHhQjxNTbBnDxUtj3PbbfKxN95ASg9qakT2xbZh40bObcxSXy+3or0dMXhaoubNN5k0SS79mGPU+g9UGP1TbNso1uj7mHW87Ns3SlTFRG+jEJiCYqJ/Z3R3JOj+cMcdul4AysvLoagIPKJQU16O2dgMDKsi3HBYNrh+gnKfCkJX7Q/4fNCdVhqybW0EMz38+c/q3nR2ytydOxc6O/Gu+SVNTfI1e/fKnNy4EVMGwuAgzc1KuCCZdBst0w6LFxNSf6W+/W3OPPP9wEEWL97NYx3TiUTEWfO2PA319dIx/fjj1Se8DA2padDSQiym0Im6OvnQnXcKQjJ7NueGtmDbSty4vh7mzKG3VNphacVsb3wbNeF+Skvl/DdtwmUq2TYXXACx44Z1FkFqBzUWrvYIXdubTjMqSXzcceqUFaRpWRhS1NixCvlxPPIdmX6XJas9MVWGoHvdZR3JaadS6sf6+8G2Xeamysv6feL05vCabQkY1R4oEDCVKX9fN6dqhR1HKSUp1ReT7VEfyvv8Zp5VhPJUBOQa85b33RnhwdEX6jv93JEM52GjQsfBcUYkH2HbMDxsioWl1UYawmGhX9u2ifxNpK2/q2DBa2x9FHypQgHLKlATVwoD+fppJBKyWZ9x/G50BWkuWiO6mMXF0NGBP7kD25a9IplU7Wr++Ef57sZGA8tZlmn6IP2nVIcF47pZFt0Jj4Htw2GoCewWKzAw4IYrtbXk66eJEUZYn6xbJyrx0SidnZJIz1l+s8tZlkCOM2eqZqnK7asGmDeP7dv7gfdw3XUT4YEHcIDaSZO44w6ABDART9srYtW2b5dnUltL7zGT6ex0+Td1dYjnvHev7AR1dSbRr/WMOXhQPlBcbHrWaC1AU3ukV/DYsQwNYSjYxxyjFqN2OjTPXitQWF7SaYFl9Oe8Tha/r4C6rfFNNWm85Aqd4n/reFs4/zDHWZYF+Ty2PWTIN9qaBwJqXithxQMH5D4HA3nJaWv4VxUQ689XR/NiDM44g5d3Sh7wiiuQZztmjDgdiiufSMjndGAcCAAbN5JXCcWlS4W9STJpyn/gRFi/XnGYIQS89NIQMpc2EQ5Dxaof4F/4UWFLZTJYP/oRTy9+TrXCKuP1P/bhqZsM69ezbh386EfwvZUV9Mz+uFzXV79K4plnYOdOw5De2umBOXN46y2YHMuJdVOsZhAJtU2bElJovXEj9s6d0NlJ5Zh+MgeKWbVK0gmnnIIhz2BZhgxn+js7juRXbNFt9ZKDUIi+jOTWdA7NsuR5GEdLpTqMlqayLto503k3KBAVUC1itMi85iX0Z0QpymvlR/X6BExkr5F+ndbTjGSzxiIRNzeoTrLQQdR8iFFDFb57yBd035bxH2vw3okqyttFa/9Ike2oYVmUFBdjWUVuzq5ARsyyMMXl8Tj0pP2G/+GJ74BMhr60RxKs6vt0nk4jiH4r55YfUPCQlSRTd2AKa9ZIuuJc+2lIJNgROYs+awLeVA/eZLc87IYGNqdr6OqSqGzBAiS/EY/DzJlsCYjyyNCQzMFwGM6q3S01QPriAgFobCRbf7qJEkMhuLSpR7zZeBzGjmVHKkjfzMvh+uvp6BBUctKk07j/fnCef55agFtvZd06QRqMPFA6TUODlCaEw+pix46F970P33XXwYwZnHlmkKKiRdx2G+T37GEKwMqVrFv3ApDg+uuLYc4cXtm5k1x7O5x6Kj9un8511wkUWVwseZJPNrwihIadO2HBAr755BTuuksW3CWXwOTEcy57buJEsu+7kB+vkLzlcccJysaaNbJJlZaSbzqL3//e1Ohy0kkQTG6Te6KlVHSiULHt9Etjx6peiz4/fWmPGw1pF7Yg+a47Ov87xqGErHfi+BWuD79f5rGTG3QhKYC2NmprJXKmsZG85TURxSjkQl3466/LZ6NR4He/g3CYl8MXsnevVCKcMamvgNkAzJ5N/+zL2bVLiCO62/eCBZD/yldwgK31l/OlLw0JymBZVFYCnM1FF02FVavII0xp6403gOsBL9deeyEf7LxX0IdoVKLJO++k98KP09kpUd2PfgQ0NGBv3w733MONN77A9u1SxlB1bBHdp0i9X/TLX+a5MReyb99W9u2zmRLpg5//nOkNeTFYSpW895RZfPHuIGvWwNixUZYsgdSTT5JAfuc7y4Mm7dDcDJUlfXKzXn8dLIu+6DS2dPlxHEUa6uyEwUHyPj+dnYjYRDpNRUgcK1345sn06y5BUFdH78gEAgHV0Fgp3eTDEwxpHNs2ewXgWiplBQ8cwNTaWRZGFSXneFyBdO3ZqOeoI0rNUg8G8qPeN05gKGT2TGMUlTHW36El/fxkTYPc0XP9P3y8HfxyNIN2qCE83HcfehwgWm3DwwwPD6t6W2eUfpuROUqnDXvIcZQR0+whMBBEPlRhgjm/lcNv5SQc12FhQYGmdod00NDbi4HOanw9whhVYeagbxwb2oNkMrJRX3aZujCNj9fVkUiMhpKMPt7EibLDa5zVFu073RfPqNNrvPTNN/H53H5m06yt3H23fO8dd4D1pz8RqauDO+/kiWW7qa6GF9v9Uu+m2GQa+TOrSxdt3XYbGzcKca6pCTr+PELNJZfA4sW0tp7DxImfleu67z5Or6vDe9VVMHEiF14ohLiZM+WcTd3QnDmiKmHbnHOO/DMaxYV6KioE0lQC01pvWumBm/cYMwaPkzPthxxHbfZafFurEIRCEIuR8wUlmkv3EAzkSaVUgS9ySGlpQYsoUwwli9hE/f/GUWj0jpTnPnQ4DvT3S5xUUqhqoSy7bSuvX4kSd3aq9aHxL+VUZW0Pw8MFSkXl5dDaynvfK0H72rWKwes48PnPw+LF5OqmsXSpwHttbXLLpr32UzwrHsPzwAN4L7mEKR2/5KqrSiQ3XFenei/28+STrxnmbBbUht0ATJTyPMtix92/5IaBb0ne+bbbqGyYyM1rzuOVmx6jowOKdr6Jv2iEL66YwltvncPIn87mo4sm0AlUP/AA3/zENr5Z9jUyGbjooilcdJEPWlpIL1gAc+eSq5vGvY0/44uB7/DTn4pRf+Xu5+iLy/0M/+hH1Cr9wPZ2cRJvugmubtgiE232bLjsMnp8NaaKZsECme+Ew3DyybS3i1KQZSHzMZFg3DjkZpWU0OcETYSsIc7aWtWHUzncOrrTogKVY/ppbFSNCBobTVJfk7v1ZmW2unTa5RmAqysbChmUQ4MpBw+qNaH6TtLaSjgskXEuWoPHFlWqoSEM+qTrAgMBeb0/4xH0SC+qgnEoavofM47GtixkkR3qob7T7zza8f3ZLH/t6eGNnt186UsflDvd3IzX7qe5OUg8DtMXLIBVqzir9kV6Y2fR0gJ1dV4ma3aSD0iLp+NJ9+HzVZBKQSDgpcLqx+Nk3Bg/FCLTpX5cTYTJ1g4mz/HRQxWPrRfR2/mN4F3+A5nYjY0MR6ewcaN8pLER/JndYPuE+zxnDmQyfLBxN/2+CQKt2f30OUF+8UIV5eVVfLBJ6VRqaxuJMH78ZCMr1J3wUD1vnvHGqpJbqWpfBxsz9C+6nXsWybz+yEeQXezhh8ViJRJM699I/fLvwPz5/KDrPO65xxW7NyowuifP/PmsWyfvz5sH02L9sHgxO8Kn8+xKWL0azmj7Lvz6WfjqV+mffTnJJETGuPXwDQ1KNT6RkMr5efPoaziP1EbZN6ZHdws71HEEg5s+ne5MBYk2WYi6nt+f2CaQmuo91m97CYdl7ywrUzkdDS37hMnmTe+WfBMYiLo/43E3ANxchp8sdKjzqK2lJxMcXWP0bxhHYzwfKe+tX7cs2P7G61BcjNcXJBaDmlheJkhzMy0PidPBncupWLSIeFx6GhpSlpLC9/kEgdCq+dSeS1VkG94Fl3P7ggWMueJi7rrrjwwOfhz7E58gG48TXXwLc665l7vvhoGBLl56qZbqv/5VbtacOehCucfi3yL1+c/DihWceupFAHzhC99giWJs3g7cvGwacDK3/Per1D/+Rb4X/QY3nrAaiPKBD5zGxbEYa154gfZkkqrnn2fV+VcDSxgZ2c5dd/2ARXcd45Y5fPObFH36TGCIkZeF+Tt37TQx/EuWsAG4OBLhvvvElpZImzyqbvs4dHWRb9lAsgNqAD79ab75O0ldnHXmCN4lX5QFPWcOvWU1xN8UdL6hAYL2bghPkJNoTcGkSbS1qHmV3AFANlzNcBqBJNJpUjFB+H0+qLA78QYCOKFp9B4IUmnb0NWFHao2HRwmO0n13KeIMbNtWQ/NzaRSUBPuh9Y2qK0lY9WQSEA0WoUl01nafql0QB6PgZh1OnLfPpVzTCaNWLtSLgNEoWf/foUCdMq55C2vgcI1FyKTAcdyhT3cef0fPo62WA9973Be6tvV4h3uezs7O1U7FID9rl6iZTFjhmywO5J+cvOvBp+Pyjc2MGeOPMyt6Sr6HPH0jYJJKMTk2rwhj3Sng66uotKx1K1kcoGKURBZVaAf5TCSyUDvhz7Jjuu/RW7u5QSzSb7YvIGPz+zGsqDbnsDWRJBtySB9virTbDVIv5yPbVOR3MoV54je4xMbK3jOmiXKIoooU5PezKWxzZxXv5tMBn6wzMPP1gZd0UrHgTlzaGmB979fND7PtV6ExkYei5/Lj1d4ZTLvEGg323QeLS1yz+66C84LvCI73rx5QjF/6CFobuaDDT08tmgz/93wIgQC/KzrdG67TWz72LGIa6ioksG254wm4+rVgkwlk6rjwfr1Rl/N5xMyi23D1tQEso3niuXZtUtYmtE8yaQQaZJJZYx0xwnFENOks7IyWfeOg8nfea08XrvfdVy0co7PRyAgHrmuITIJ/8JEr20X5vf/5dJihxvvNKddON7Y3gUeD4sW/beoxeAxnUnDYcW8jcVg5Uquv14ISxs6J7gXpqDeyqLdnDE1a7oF/LZrsljL9es58Junefjhs5kzB5Z+dYTo3r3Q1sa0M8bQ//2f8t3v1vLTn4owQf/1n4NwmM3xCnm4t91GD0goD8BpfKPxcZoRmWd7cITOThj548skv/c98nfdpY7LAf1ccw3cEn6MuReJsewBnn5BJwMnAd/G/tsI01Ab6ve/z49+dBrPPlsCiQRbrWmMjPxNiGCLFnEugG3z+c/m+eY3xf+0bUSuZdkyHAfOyjwti6e8XFAcwD5YJDBHfT10dVH5t1e0GAnxuPQdNCmVZBKSSXw+lY9T0c6oXN3QED6fsEfDYcSBi00jk5FnQUcHHDhQWMM+qqYuFMJFrPSc1bln2+35CAWoZ4F0nv7OoJWlwurnmGPcZUw0apCoyvF5aqI5UVzBJddpuT5t7KJR8Nt9eJwcBw6oY9ykrZw+74JxaF2QHjof8c8cf7hFfvrpp8PICEUegBLyPj8eVcOSdiRfFw6rRHEsBuk0nkQ3Z5wWpTvhoaMDYjE/1Y4jG2goRL/jJ0g/FThkqOD11yEWC1JpC85X0RgmlZKamapIyGDmAJ7UboKBAN1pv1EE8aZ3C124SgxbRk5PyADpNFlfBS+/5md42C9isu2vCJ+8vBwiETIpI5DgenK6308mA11dTIlkSNXVsHEj/Gylh4/Ony9U8KVLuXjhQg7EzmLpUqitPYvZMaTrdSYD7TZMngyRCP7kDhYurKG1VWQw/xI9ncZGmJbeLGSBjRvh05/m8ZO+xKJFVTQ0wA9/CB91HuOjs0XOqaUFrLm3UNPQIMYqGsW2xQeZ1dQPPh8vtnn53kMexo37JJdcA95nnsK/8secEY1CUxPbkkHa2yEcPh1OVNfb2sqlsxvYkRRF+R1JP5Gm8wSaTiZFPzUUIhSuYdeuQhTS49bU6XwFjMpDeMgTCnlcKjeqdZfeSdRGou+/aYL5bxiF8/5wLMxDx6Hr59RTG1n9i5Wqg4hMo8riYkiliEarZao2NUE8zuRolv5+IfY9vtbLpXW10NKCd16YHZkJ1NjdVDgOmYzAdNSGTR5blT66Emu67ffEicw5R/ogT5woKOma30veaXrXWnJDQ0xraGBLuhr4ElADMyxm3nCDeEx3fpGnP302vJkmcumlrJ//Y9pWwgMPXEFjo+z7HR3AggVMefJJciAaZxcAtHD88d+gOrWZ6muv5VLbhmuuYX4z+Nc/ISUFcy9l4sT3yGXMmEHohhvgmmvoSXqYPVsCUUklBMiFJvDqqxA7ZRaV8+LQ2cm998zh6fVCAOk9RSSvK4t2w6ZNBHmFmTNPNwFRZ6dc0izVLuyCC6ScEYCSEnR5W1Vzszh1Vg+7YlWKaBUwBiEXmoC3tlak88JZzjjDT0kJ5GKTJYMTLzB4OWFQlo2bQtb24Ff1lfv2CaJYEZBu9zm84PiM0bNTqlfleB+k04wf7+oCG4ZZICDzTS2uYCxAKOSVkogxIfD5SCXknM0+ZVmMHfsuLkuA/3uvr//z8cNCEc7n/W53biVya5iaheSDQIC+tMe8ZFm4+opqYwPJ58Xj8uAry7OqcE40LrUnk8djavF0x8d+RzT4VHNmIZPs3UvvuCm82OoRum5aoqotiQrWrJH8/1mNObwbn5MVPTgIDQ083SbnoPN6gCQi33zTpddHInRbNcbAZjIqJ/fWW3Q98gj8z//w61/DXXc9wY03QtWrT0nua+1aNljnka5rkol/552c5zxNKCRckGXLhK9ANAobN9KyZw/ccw/bt8POnQ/z5JN/ZPx4yH/sY3DTTTiOlBqsW4dEFccfD5ZFRXIrwfYNBhaNx01/XLnXzz6LlrfIB4KGBJZKwXCp342u29qo8fUQCIjtXbNGuheI4W4X2jz97N8vj0rnYh1HNEG1wC3xuEmip9OSp9izRzZnXcc+frxqjaNVANJpPKndWBZ/10blXz2ORth6u5KfyspKGB7m9q981fTt1btsa6vytDdtgnSa3gG/aUju8yHPR7B8N0cdibhd5teuldA/EmHJEuFoRKPIvezsFMi9q4vOTvjFL2Qe7N8vztXChUBTE95HH5Xu36cUcd11TcAnKBr3HCxYQMczz7Dyrrvgm9/ke/uvZNMe6YV44ony2FpbBfL+zqIdsHYt5wELzjmH3lNmcdFFs5g06Rs0N8MNP5xOz50/lsm7YAFdXfBb62Lw+fDMu5QPfQheey1Bt1UjF15fT1cXTA70UNGxQZAAdVm//726fYmETLp0mpQyDpXlWfbvV+VA48fD9u14k93GMVKN5g0ZzDRPtSzjCB7KNN6/Xz3IZBK/3ec6YZqhrcTtLUs58biIo9nf0mkOHiwoZ0AEnyvH58k6XiNNaGr7FNtT97LTZRV6DfZnPOa7PeSN3iqOo1v7mYSvLglxHAxN15QuvFsN3tG80UOPeyd1Rm/73R4P+bzKidq2MPocr4GgTPiuebeBgKEMRyKqT5rK02Qdr8BluOL6tbXIrFK1OAcPujR2T6bfFY9TUFk6LQ89GlVkmLIyKCnh4EEVOShr2Y/klTSFG9uWXTcaFajEtqmrc5PUoZASby0vF3C9gJEFbi2ZRiAIh6WU4Pjj1bx/j/QZGxwUYxSLjVbCV+GNXgc+n3QR13pojQAXXSQqFcyjvPxsbBs8F11kNhatdEJbm6vBGY3Ki3V1bOkUjcHaWhEg9rRvlmuorITGRlpa5FRiMQkYigf73agsGqW3WBraWpYcUx1W0KaKePOBoKk+0Bu5N9Vjnqkp1/D5wHHMP4eH3X6HumDbtnHnjHrGWjD47+qU/k3jH2EwA2TUvfL7xwrxiqzBmDIZJZf31ltg2/T2CqQ5NKTytR0d0NjIjrhHylEcRxoao8oQAM48E3buxOcTY+DzIVh1IiHWNBZj1SqZr83NMDm0m35bbbCZjHiA48ezm0IBbmEid4Cwh5csIZWC6mr4ePM2VAcivvQlQdX7wzUQibADWPHCC1RedDpPPjnE9u0X8ZOffI8xY0SjdV06zVbVB3P5cgSSjUZVLZxXIkXHgWXLODcirYt2RM/lx6uCbOnyU003N90k85DKSplfoQrpQdkH2DaTAz1SDuTzwdSp5KPVZrroKFinS+JxVaObyRhimanTU1GTNjLayQsECtAGn89MPE3a9vvyusx3FGZptgaVhslbXnr3eAxoMTSES8RTpVrGoS7oAWlgV/U9JvWjegBp0QZ9sOMc0kTbcXuTDntGtwf6j4U0NQxzOMLK4Y493PhHo0J9fDabBY8Hy6NuvMqU+n15YjGPUQKIRj34lZXry8hkr6uDaXU5iKdlBw6H8ad3A9A7Ihh8LKZEWJMYnNpJqeSzlQPbcSeiwsxDjlCJ02nprVZ92WXw+utUJ1+h+rgo+UAVnYkgyU75StOxIIMYIk2BTyaJ1E1g40ZZKOEwMgMHBuSF8eOhsZEeu4J0Sq4nmZS3qyJCtfbGYnD99cTvhPHjTxFxlXgaFi9mc+BcKkuh7K9bxHufN4+nmUUiIQ0ITj5ZLYKGJmhqIpBOQ0MDPh9ce+045s1TdYQrVvBES5COdbKnTHn1p7IbKrrl1kSQtjaRN6uslNRHJAJVTje0xSVx0tzM5nbpoDxpElTYPUJcsW2orycXqZZmrXFZbw0N6phERh6S8pB1VH/KKWKsPek+8pEqIc5EEJkkbbEcUY4Phfzs2cMoYxYKSW9E4gkjnJgPBClWG82/K8J7p2StI62X/nQflJQwYUKlvOA4hr1n2K9DQ5BOG/p5XR0EUzukrqapiRpfHuIyoXxxeX/sWMSjbGiASZOYOVPu19q1cN6895G/7TZygM+2CQQk4LvtNpjdNoHg/fdKHUokAnPnkt2+nejvf88dF6wCojz66H9D283Mv+QSubFtbdzua6Nj6xh66/8fsUqw7a0cd9wUUimxy9Xf/rZpAptteQXKbkUg0l3c+/6n+Mac+8gBs//3fyk6YZgHHiiG5cvZseg7fOmE3Vx//QQ+uOKjErV9//u8mJrM2uVyf268ESpXfRfOOYeOeLUYwz//GRYv5rbbZK3GQmlo3y1zT3mjPaEptK9Tsl+1OaJR1RS3ywcNDSQ6C1rCHTzo2i+1aLOhKjo7VSMU1Sk+qdY1L3eIluWISBg2NSGhVW2tIXKTTguW3NyMlRDRbzo6oLbW6FuXl+sWQR6MyclkCEQq3LmljHoqJdF1MLFVvru21q0H9PnoS3uM/dOSMFa02i1pGGsJiSUtHys++G8Ujy4qKjqpqKjooaKiolVFRUU3FBUV3VJUVLS5qKioXr1fVlRU9GhRUdEPi4qKrlSvfVT9/VhRUVHZ0X/h8ONoCfX/SzH62w2Pqt7P53WjZ+WSqPIBIbOoaC0chs5OKtI7tKiCSSjnwlVyYFcXWJapwwPcfyjCwyiYtDCZowpPg4G8hrx56SXoCUyWz65bBx0dGn0jFpMOC0FfjkwGtiaC9IRUK5v2dli/Hm96N8XFku/dtUsIHZx0koQkauOqSm5mmm8b8bh4svG4ug7bFuvR2EgoJH0nZ4VeAZ+PJ+xZfOlLirr85pvkX3gB4nEjVbZxowSC54a3woMPQlMTua5unq6/hQ829fHjzOV8cOkH6fNVUXTMGD70oad54QWYsv47JBcsgF/9CpqayNZN18EUy5fDd78r965q5b1yQokE3bFzuX2Jh5YWqf+raH8Og88qGMey5JL+9Cd5ZBXObiEStLZCbS0vJmvYlgwar3rsWMwz85B3qdgFcnD62YNAb3v2yEcKC2kBA984jmxYxxzz74vwjlTTeuh/hccVRnrDw8MwPMyYMeUCj2k8ScntbdyI7HqrVmFZUpc3dixyv086ya3nsG2hkyPzdO1ahOL7yCOwcCGlpfDaa1u5774hco1n0QO0AKxaxeuvw759QgxxHOTDts158yrgmmu4F8hfcAGwGkhw9fwcdz/4IPh8FP3uJ3hv+xysWMFLr77KnyNFUofG59m58wZ++MO9zJ4N0S98wVz/8rIiPvvZe/gKZ7KHS+EjH1FgH2qRz+XTn26F55+n5qHPAb089NALcPbZrNm5k745czirvp+77hrkjjtWc8MNyEQ75RTOjT8mC/m//svAuz/5CQyVhWRx33OPYOvhMMuXC1QfDiMC0o5qCZZKkYtUj+6tt3Ejtq3ykZEI9PbiT+5wy4mamyGRYHqdQIuoHN748W6XKz2ptQiTJKtlP8xkcCNHdUxJidsGy0DWBbIrFQHpjKAVVDo7Vd0myIbV0UHO8dCT9pPzBQ1fLBDAOPuaEwaAZZlWRI7D35Ul/EsN3sjIyOsjIyPXA5cDZ4+MjNwLPFFwyKXAqpGRkeuAi9Vrl6i/f6nef0fjcEl2Pd4J06zwuKMt+MKhj9N1R/m8gojVAs9bXuOFG7KHtoDKC81kMHqaXifrRmnKWJpwXrv9KvzXKSW9GWu1FQIBqdlDyCvRqGykbW0IrKnCTR3RdXVJBJi3vAR9OVcKLRIx6unYNscdJ8cbbVCN1eqZrzjAqsRMhhb31DVoqMUVi0FXFzNnygJoa0MmKhgmGbiiEaYleEcH3rXSaujFzgpx36NRKtb/ki98oQQYw7p1u2DBArLAFkU0aW+XvF4yKSpUM2eqBaEbByaTVFs9hMOyz7a2Iuet6n50fsM0dFWXYGBM1QpKkVyNzFIgoMhC6TR5RP3fiBrriaFcbI+dPdS2GSUL44ZnMjJHkGfqymL9a8fb1aAeWpiuP6M/d/DgQfX/w+78HRgwtViAebh6mhkITeeS1A6qc0R6emNZEjYHAqqO9ERgh4iNl5TgBfI/+QmXXCI/s2dPgtWrEbxt40aBumtrqQZ15jVy/paXenVqF100jqGhYSFJAbvB7a9IAvgNc+ZAp2FvwkeRfHMdUFM+MkroNPWTnwD/DRQLuWX2bMaPn4rPdw789a/UABXvex85X5BzzikDmsSZbWgQhehoVCbes8+S9/lpbxcnsWQoKzUIkQi85z2QTo9KP2gIMh9Q5TB2v0EQKSkxXVl8PkxHkFxU7kd9PbJuGxroSQuBjldfheJi0/GlrIxRMKLjqL/zh5D91D6i13M6LefvtfKjqMa2reS/1PrQ253ZN1U+zmtJn0SvlWdgwOXP6X+olKA4Ueo5ZDIqd3yItFjRyCEdYf/ZUVRUdDFwA/CTkZGRnxUVFS1BjFxHUVHRF4DfjYyMtBcVFf1sZGTko0VFRb8cGRm5vKioaCowZ2Rk5K6C77oAuGDWrFmf+cIXvsC4cWGKkPMdoejwv8+Rr0d/pvCYwtfe7jv1+/aBLDfeeCP5kSLuuutbTCz3QT7PcFnQKNnkcvLcS9O9RvcovlNCv/HjoWwgCcXFHAyOp9Q7Avv3c3BMSKf7KPOpaMq2weul3/EzNATjQsOymDXd9uBBKC3FHioml1PREzC+tJ/Url2EjzkGxo9nKF8s4tQ5+ajXK3a4hKHRjAifj8GSEH/7m8yVaBQCZOQa8nlZOGVlUFrKUL6Y7m7JLVRUwAkV+ySi7O+Hj32Me79XQnFxMTffDEVrVsOpp7Kpt5qyMpiQayf8hz9AczOtQ6fyl79I/qShAcaXpKG7W8LLsjJGzm4WIwmc1jAkm0E0ysY3xvOXvwjbfErfRoGAJotOaKI/aGCO4mIJTv1+qLT2CvMhEODgSQ288Ybci1gMfIN7YfduUkVFhMeNo790PHv3yu9q0Zui9D65iSMj4PNxcEzIkE/CYRhbmoUDBxgOjSOVksjMN6AOCAbdDr8eDzY++vrktgaDECxTz1ZbDcuCMWOwh4o1i5zzzpt638jIyC1HmuN6zZx77rmf+e7SpYxQ9LZr5ojfdYS1dOj3rFz5c55Zt47FX/oqfn+MaEXWRG+vthdRVQWVPa9CSQn7jq1n164UpaVhTghIQu9gzUmUeoagv5/h0Dj6+0VQobISxr7VIX+cdBLP/KWKHTvEbznFv10IIiMj8OEP8+wbUROgz54Npa+3w8knM5groew3PyORTBK98ELufep1ABYunEtu2b2UAuVnn82bE86gtBS8iVcIp1LEp3yQxx9PAnuAWhYuHEN82b0MIqCc9b5beP75NeoOTOKWi7xsefJJBoEzTz6Zh+MXMHUqnBXYwuAJ03j4YZuTT/Zxwd6fyTO+4gp6BwNkMrJcqqqg8mA3lJezNz+WcQcSEvG97338dmOQ0lI45cQE4f5+uTHK2z4YqiSRkLk9YYJ8dUkJlL61Ayoq6EiE8HhgSjABqRT9NQ3s3QvHlySgt5eR6aeybZvYlspjbEZKfQwOQiDfL3nXcJjevKyD97wHyuy9DIfGsX27+H3jh3pI2Tblx9YIAcubhd27oawMu3w8fX0y5QMBtdfoDWrMGA46xXi9UHTQhuJi9vaX0Ncn5zLe2of5o6LCXO9grsRAmqUH0uJUWUJSOeYY9V2lpQxmZY7+YsXD3Pvgg2bC/stBkpGRkSeAJ4qKip4CfnbI2wkgCrTz99FltXq/8Lt+D/z+M5+55TPhceOYcnL9KA/zcONoEOY7zVUc6Xg9ikaGKfP7OenkUykrC1NfFZSastgULaFpEsHVk6rhhRegvJzgNCnEHB6G+vOmSKgzPkguUi2ebSZDvyUlCcGxSlMymQTLIhet0RUMAgMUwKjas8s5Uswcj4M/AuHseur7+2XC1J9E7z4v+/e73nMopERZtbHTH66tory8hs5OmWfV9aqBpAlZ1O9WVlBWVkVbm+xJ48fDWafukUz/8DD19d/jf/5niDFjSvhO7XNw//3UL1vGFx+q5swzYcbUPvj1r6m/9Xh+7DlXq3VR2gBnzekXPPK55yCbZdz8W7jjDnFMv3brCfDgg9Sffz6395zOihVw//311Oz4nBizU06h/twGcByyVpCNG+VWl5bC+efD9GklggNls5w6Zw7dTpVEWV4IHAfh/a9Sf+AA7PsbnHA8/dEpdHSI/a2tVTqjmoFUkic/axqbNonzfcwxUFuPUcvx2FmIe1xd0mjUiOnC6KqF4uKC4nPttoZCRonHkH2OMvSaufrqqz9Tf/LJo6DI/yuT+VA4sxBVyePh/Pe/nxeff54TTphCb28N9bV9wsqcMYPn9k3A64X3l26FeJz85fN56qkO9uypZ+rUemr2/hJK8uTq3ivRcSpF/uwprFghz/qcmRUSrm/cSPWtX2PhQnj0Ubj11npmhV4i/+1v43nrLYIP/ZZbb5VIuKgIpny0nj17oGIYqmbOJPj+95N95BHi7xvh+ecv4pFHmhkJrWZZOs3Cl15iy5df58EH4X//F+of/A71oRepWPhJ7r5bgv5HHhnk0Ud/zGkfK2INEHvkEaJfHuGOOy4CXuaRR37KyIoszy1YQB54cP91/HZjkPrkK/D7x3mY27n11j+y9wvf4Bsln4Mf/ID6U0+F88/n5X2TaWmBk06qZ/YZEslXjqmGn/0MXn6ZquVPsGiR2LnTL64XFZRkUnDIwUFO/cBsXn7Vy969LvmqvvhvsHs3/dXiLF7e6IetW8l/tJ6VK6F+dpXc11IvAxMnU1wM9dMkuu7d52X8ePB0Sh6tvnYCW1Tj5ymnyXzt7JQI6n11XjpeeIH6cJhtE87CsqAmvENEptV+qPtRZzJIz04hONCdFrJXVUAgWE6JsaVDJPaqToaK5FaZcFrGSH3ZtoTA3pOnyj7YO+BncFCuWxe250+uEhLY8GjSyr86hzejqKjoO0VFRQ8Dvy0qKvoYMAf4sorgHgc+XFRU9H3gSfWxNervy9T772gcSQniSPmHw423e/9IsM7wwYPgOLS3v+puQp2d+Mmyc6c8T7+VIxBQ7V7GjpUmqtG8rt9mc7sKn+JxvIkdpgFjENG227ULdqQUrT0ex5vebSbNqNhfJ4qUgOHGjUK9j0aRiCceZ0doOk+s81JeDpPZxhS2Eg7Lnv/jFV56DwTlQxs3mqLqQtUCDTFkw9X0RabIDI7HYe1aJls7OOEEma933w3PhS6F444j9f3vc8uJT/He95bw4IODbG6+WU7q/vtZvFgM5HP1N0t38uXL+Tg/5s475fceegg+vigon6mvh8WLqVpwHg88IGv8liVB+MIXwHG48EJBKU3RtsJftsb9vPy6lBs0NUlh/mmnSZTUe8JZUvxUWwuJBNWBPurqDIeIg/kS8k1nyQd8PoL2bhobXTWVLH5yscnyxeEwnq5tnHFSv+kK1NUlHRE8Ts6tiA2F3No9u59Ewu2mpDtFjx8vm0jvgN+lEyaTwsrlX6+l+U7LD95Ogi9UEYbhYfbuTdLVJQQE/vpX2LQJyxKdct13ypPazdixbsqYpiZIpaSFkppwnrZXaGyU+/N0R5Xc9PvvJ2hl+dWv+nEcmFXfI+r/55wDsRjRqPBfSktVb8S2V2hpESIUzc30ILmV9ev1Wf8v/OlPOMDazk4+2tzNM88MsmEDEsq0t3NWQ5ZFi1Adrbx87GObafjTnwCIA1/L3IKQVsLAaj7+7JWcN2mSCFL/5CcCHdbWwve/z48XvgjUcdddm3hu9rdkXv/pT/CrX3FGyWamTpUl2NIiRrvPCcoxnZ1UrPkxTU0ScLW0qD1FOU/s3AktLUya5DrZiQRCRCstdTuNKQzS4+Rc+r4ao1iR6TQlJSq3XFAeo0uUPOQJ0s+YMeJEdvsmy7prbWVybYFOZyBg4EcP8rrRcVbemz7fnC9o4G39k6b4XCfj9X8qNWRgT8ehpKSgZZAqA/Ike9ycesH4l0Z4IyMjLag8csF49JC/rz3kMz/j7yPBtx1Hy+Ed7Tg9/hnm5nBRkUgpeaC4OOcqn9g2EyeKgGvW8UokprnCPp/UWCFrv64OiNvyj3AYL3nDvgwEJFoKhYCMDeEwudAE7KQyZJq/DzIJYjG2dXlItcn+8dE5/dDaLrTNmTOJ2CL5k7OCbLEnCzyeFujHn+6RxqehELnZFxOPQ8RxSyvGjRP1AjIZ/IEAfp8P0rYs5OZmNnRU0NYmUOQX526VqKy2lvCyZXxteTVnnAFLl5YxPdwNS5fSk/ZTZe+myddOfdtvobmZ7iU/Zv16SD8ke96tt8K0cI9LPb/vPrLX3siK5WK4Zs5EjEd9PQfbZaOrq0OeQXOz6b4wcaJEpjnLb5RMIhFV37jXdjsaKJKJrZ5PqTUsIt9APia1hj7HLUuCgqJyn498pMqUI+i8XjoNTsBL0OkTC5jJoOXkc5a/kJ3Nnj0wdqwfL3kqx6p8Xypjyhl0/abumfevGodbG0eT6TvSmvnjH/8IxcXccceX+MxnniedhooTToDx44kOyxzCsoT5GprA0NBuTT5GJ5XyESFweQIB8rEa6BSSZTXdYJ0ELS38bI2fSy5RUmVtbW5OdfZsli4VY3DJJVAT6iMbOZ2TfPD0rU/DvKU0XXIJTTNmMGs2SCHCt2DVfZwO0vYH+PrXyzjhBOA80Wbd3OFl7VpZYn/4QwnnpuIw4xquByIf+Qg/a7wXGATu5fzzx7J4MXB3M80DAzA4yHnRbeCE4S9/4bG1FVx1FcyePU7KMermS45scBACASMbu2uXXNaCBci8qauDGTPwtcj9isXkfLwaYTjtNGhsZGiPvGfyvI4Dw8PGcdWipt1Jr8yjeFwghXAYK6UYl5ZFLlBBOqHk4do6zf6ip3DO8eBFlr9WGeqfOFEMbDpNddgHKQfCYQaTbp7P4ziUlwfBFzCsk7BVYHfDYXJ4sVOmK9BoaSFVrJ4PBCneo/xBtQ9qSoP0zMsIuzlUAQ74SkfD8v+xdXj/TGSnoZh3Smg59LcGBgaguJiiIhge7pPFXFcHPh/RqFHhonef160E9fl47TXZ3IymnHa/VIFlzvLTk5I+W9GooqgrDUvN0jQelB7KkOrN1udT3mEsJuHC736HnywvdgRZvdrIPFLldIu2Jshkra3Fa+WlZQkS7LW3K0pzezumEthx6A9U0R+dQu9Qha57l9qf224TgzdjBl98qJqf/1xs7lm+zdDWxraEXwrE02mBvH7+c2ho4KabJKoDsVfTwj3SsfUXvwDHoeeSG5k/X/a4j8/YQfXSz0E8zr3LgixZIh6xv/1FyR+2t6vCI0n1vfyan9ZW+bdtw5Rov/zYunUCh5TV8HT7BB5fI1BKReeL8h0iu0J7u5xqe7tsJp74DmlD1NkJmQz5UAUdHfK+zi1oOxr05VwcUjtFloXXyhMM5I0B27tX9Up0PC6TU5FXco6nkPf0bx+HWw+HUx8qfD+9by+UlFBbO8ls3Jx5JsRihEJKG1FJ0SSTsgZ8PpgczZp7Y9ZYIGDKEMNh5Mb6fOTqpwPyuUQCsW7Ll8tGOfti2ttlD+/qQlpiPf+UKYfY9uSTpFav5vbUzTzzzEVAPyNfvYvnPv95pgEVP/oRLyaq+cQnINr9IqRSnDfby9lnu/PmxBNh64c/zJKBATqBF2/6GVdeeTcwH3iRp1f24TmxiFceeQSuvZZtcz8n19PZyS13VvCxjwmq8tE1l+M95SRIp3k5fCHPhS9niz2ZKl8f54a3GpFz78bn0CHqN38lTteUk0aY4mwRPVdF2d8RPp3frhNNysm+bs48023VqEsDUikMe1LPTTIZyaeFQsaYEY/jtfuNYdM1cL0HgnR2yvT1JnaAz6fV+QimuyWn3dhIHxVuqKXmfSaj2oCp2ric4zFlBlKqIGSUvOUlkcD93kyPW5SsozzLIpEQ8MC2MY07C+XLtBXWZFC3nY2M/1iDp8fbeZ/6vSMZr6N9Z+H4O1bayAj5PFRWRszDzVkS3fkt6V/W2wt9oRp5f+VKxo8XgY9XX8Uol/dlvAaK85IzvdIMA0rtcoYVpYfWZkSUzaujedNcMx6HFxPV0sg0nYYVKzgr1kMs5op+5CLVslmEq8jXTXEpnO3tBLs2c/Ec+b6VK2GDdZ6I8TqOvB/fQjC+hcrBHTQ2ujBkdsXjUt+2ciXfuL6b888XpfZc/XTo6mJyZjOOA99cPVkqwCdOhMWLWbFCok2lWCY6n7NnC9zZ3ExVKMvChfCJTyCWWBW4LV8Ozz//xv9H3v/HN11effz4s+mb8CakMS2hhBJqrBFrLVhZlQ6rQ6yIiooOJ5vo0Fudm855q5tsOofTOTedOmW33M455nDDjSlTVIYMO61YtMNaa62l1lhjSSGUmIYQ0jfp949zva+kDNTd9/b5fm4/1+OxSZN3kveP67rOOa/zOq8jhJb2dqznnhOr+M47TAkKdPOnPwmbLhZTxbyNjbKLKcv/xhvyz0mT1AIJBHI3MRzGMMQghcPyX63wkU7rXl35KhdDQ+CxBmTBqtyrbkZqF9orz9VmZ48bh5Z8GjBK5Vi1mJ1kbO7K/2OF5/CPAg37l/7kv39UZSVks9xwgxRvO5MDI1iLzc1I+cGKFZRHNtHdLax6WlshEqF/bIXAUM2bALRY8MqVqtv4ww/jvPJS6uvl1l17LVzHPTBvHi2//S3O6iksXSqZg7vuSnBH00kQDlNFB4/0n8mU3/yGdcD3bitAOiJsp2vhLfQCxqhRnLf2Uk44YRsTxiRob25m7aRJqqrhOZ5//nF++cvX8Pv/ivt9iRYagfUnFAAXMGrU0/ziF2dSMG6YTuBZYMWPf8yTT8LZN0wB4J6bB4Bd3Hvvy3DDDUQ6O+Fzn2PGW4/ofpbTG0rA7+eM937BdYvV/VP5kWeegdtu20XftgKZJI2NUmbw+uuATPnWVsA0c9qrak/Siihqgmon16bLKp3eSASZp8kkoZCaaz4fpNOCiKCyJspw6vRKOi2sm2SSrVullhiA7m4qAtLFIBaD/qESduxAa/baRsxjZnTjWZu0a3dcYceOXGcFVeaSL1xkJwdL3Jlcc1lbxQEFy/47yxL+nxz7e58HWowfV56w//hnjnc6pQxgeFgZIWWNtFEyDK1GIHqAktypQGpeGhvR+LvbLfCnDWibpkQSg4PkEmjpNCXerK4ysGnHWqPM7dZR3oR9fUyvTOH1wrbYKFLnXijGIxplxr5NzPFtIRCQMqWn1koRpyM+IL/v98u5er3Q3s6cYBeLF4tz/tBKF23ek+T9aFSIOK+8ojH3sWPVwpoxQ+drQAtsiKFavZpgUMSY016/1sqza2vs+hrtgdpVyuk00Sg89hj0n3YxdoFfSwuMH38kDz8Mm6qvwDj/fHlvzx5obeXs2j5bMJ/GRgkamTdPZPnDYVizhjkNWSZNEmSpuxs6kuW59knNzUzz9WnqdzhMrqN6Og2RCCVminHjcgYvHCYXtUejIhllQzOqEV7W7SGLQ1ekTBif1dcei4mivQ2RE4vp5rD7rd1/2zhQLevB1gbAFrXxRqMf5KJQRV+3N6Jeo0KuafVqJk5U5R7V1cJo3afyOCoBZbP6tPD04sUAlHdv5PbbBep87jl4dP4T1F5+OQNbt1J+zrE0NsKJJ3q4+254avJV4HZL/8L58zkb6AU+//nbAGmz4wIeGhoS+JAbKThkGyGgBciOLeDWW08HjgecQA+HHhphad59GT79KoaGOrjqqpXAYubt2wdIfu/GwGPiYNXUwIYNnHzyCUCa7605nsB//qeEvffdx8XjnmH+fHj99TQPrS6RyFiRlRg1Cn79a4FwcfLWW5CZd558p9crJQ6RF1mwQG7dpu5SWlrUHqTKh+yabUBD8NEoIxww25HKWA5d12ZZ5Nh37e0cfriqpxsW0W+tkmKawmyLxSgqEkKejVdncDJ6NJT5MhQXq/dsdMo0GUg6R+x9Zd4UEybInz1hh9Tz2gZMWViPkRrZOd3vJ5F25mrx1J5h377MvsL95vJnbHycQftXDbuUQ6XytIuf74Fnceh5a+Pn+P1UV8tzTAWmwOTJOMNd0g24pgYsi2BQJsbu3eTolKrQpqgoL0BQxVtZU+ACl5kVkoTXS0/URTQqNGVX5xb5Hru2ze9ncFAiGptkMUAJulmZXRfh95MKTKG5WZiD55yjoMZ0Wr7ruONg/HgNS3z4oVokmzeLi2ZZOm8WjSLXV1mJ2y2qJ2YsIm5lTQ1r18p1VVaKLershFTldLm569bBc89xyCF5BqW6Gqqr2bVLLqmhAWbWZXMdbCdOhJoaOuKSW2tokOYLXq9qEDlxosYdM5YDxUHC64WqyqzQoZXe4YBZpr+2shK5IBu3VItQK7yjZLRs0dP8hHueRJMDeVZ2zVn/DocumA4GVV7VssQpUqvbMHKM7n/1OFh6wH7v49IDAHOkyRyBQLlsOjYGaxi6HWC5LyUXV1/PhAnyCLd0S5lGWbpHck+VlRCJ4HFn6eyUaHlOQ1buRX29/r5wWObQggWI1w9w4omsXSvvXX21HP5ES7nMvYYGXgWmnH8+r7xyFyDOjxMpBpZndz1/+tORpIFLAff779PYCEVFhwETgROIRgP8VF3zGcCl/meBG4HHge/A1VdTgtTopc69UM7vuedg/nxeeGE3o0adwh0LtohntWQJLF9O5tQzqauDn/3MZPFiyNZMZ/N7pVLXOzgIp55KczMcccRYjjpKQYo+n0TMKsdhB0y2ZkIyiTYsOh+mpPQSSImDFuwNhYhEhF3s7O4Ay6K7W+UCt26Vm6OgUTv/bdeYahRKscS1s6rgR8uSn7BZyZo8o8gmeUsC3G76B13s3SvTviKQyS0IO6xLp7X8mGmimcx79uRKk+1o0EbD8ls0ynz+DI2Pgy3/2aju44bP51MSKwJfA9pTGhwUT8m+4Tr5GgiQwoXfjw7zdSV6WjoCY5o4rIxWMciYnhyzgZG16PaG6rAy2qpkcPJiixSq1tZC4Vtt0NpKJlDB+iYXCXcZxONMGDXAmDE5mTqdxG5uhkiEtmgpTzSVEg4LCWbWLBGC1VFgHs84Yzm0fuxrryHJjpYWWLqUuXPltaVLkd2ps5OZ/h4CARiaEJBdqbOT82p7aWiQSPLxxyU109SEzNYXXoDbb+eCz/dimvDNb8JT/itg1iwmbH6K5cslgE0kHXLRs2ZBQ4NOzldXy/sXXCD7aWMj9M29VNgvgLOzjZPqs9TXy/sZyyE5zQULoLKSEms7Z8/L2t2fSLlLtcHF69UsT5vFlkxCAo+QMGxnxa6+VTB2xnLQv8tJIi1CBWPGqHo9G42xZSLUKk6lHbo4/d81DrR29l8LB2NvFhSOgmyWwcGBnE5jfz/EYlofXRfJ1dQwZoxIyOkmnpYlZaV2kjoWw+0WCDmRdOicapf/JO66Sz7ys5+B6+H75Ty+/nW4+WY6O+Xxn3mm5L+HhhTqV11NBsj88Y/AmYAAETORVj9X8BA/+tExotZ1/PGUn3oq+HyEQjKljj22lKKiKvr7YYq6djcq+gRgKlOnnggNDZwElKhX7RQUv/wl558/lqGhIbYwXbGu0OITtuxdOCxkqPHjgblzcVxyCaTTXHaZtNrSWpS2eKyK9JRkrPav0mn0vNPzRlkWj5ES9qIiUGFZBAJK8FvNO7dbOVeHHaaRBuUra2OiRaptY9TenmtgnCfgbOfo9MhL0wwOKsNqi00rpMMwVGcFez7oTQ8cVkZ3GBppMfOEq5NJnMkBTDOPGaqGwWdofFJ5wT/zmY8bn1Ssn+/UO9MJgdhCIc3kc7tt0WlLe2JOIyssJKWaop+jXajl9xOPyeEuMwvpvB8D3RfK9vIAHak5yTBrlhNnfDvZyioaG7VcpNT6dUd0E1t8Pir9OfWGwUEhnmgXys4qq2RBXsMHUSN5+R2yg4M4AgFaWyGd3onbPU744Crz3fiw1MPpfibhMKa7XMOKNuuT5mba0mmmvfsu/aPLWb06J6BtZ9r9tXldHUIhGDeOlK+cWKf86Yl0QDLJvsDxtLePFKvV2Eg4jEv93Rd1sCteIO2akjEtA2aapVq9YXDQQVGRE5ddFpJMMmFCia4Zz+X1nBhuJw4Fb7JnjyZlfPSRRPI2ccXO0Zkmom9qv2FZGHmozr9jfBxL82Cv5Y9dihpomiN7j9kbrteLFNX5fCR8FRgfthMMKu0Ewyu5HCOlO8NjWRpo8ITb5DmFQgQCEpy/+aaqcbXZSKrso6VFfLabbwZeeIHJk8+UOfmrCPWA85JLmLyhig8+qGLnTijdt4/SE04g/LWv8b0TV8Ltt9NefALXdV3J6kpJRy9bJs98zBiYdt+lZIHZgHvfMO8V7gOWcfLJh4pISxpqJk+G+fPZ0qkMxA4vTJzIrAKoqxvFdK9Uznd5jycchmMGYbrZwfTKNFgmvfEq/vhH+PKXnZQrwWTLEqTzsOAwxOMMeCswvODxJXUezPIK2U37x36/rA+vmlMqWuofdGkZMgyDAcvDrl2iA8s7YaisZNcuxdoE7bTpHLJCsg45JA+iPOQQCIUoLlb522hcROKj+88hNc9sBKTQw0cfQXGxA6dpksWhv85pZHP5jXwCwwES2TYELtElEAySwiX7bzY94tjPVIT3PxkH8mw/idzS1tYmeCbKcCkD4CBLcbH8qQUzLEurotgefDyuPCpVO9cbc0lkoVxCW/7HqUSl7fokveHZu5/t+ajNscSb1fNDwxrqR+32I3ZXBVsObMDy5Gq+1Pc6yWjmU3+/8pzsnJrtdSkMziZF1tTAjKIO6O7GcdZZZO++h+ZmkW16aJnqH7dkCY+sckkrnNjbwogJhdhoncTtt4sjP2uWwE0Xu5+A9namnXgiJJN8/esSbe7cCXPWXQfbtrGp9hrmz5do0BnpkX+8/DKupvVM9/dhmtBlVPH4e8dz331yXy67DMpW3w9PSxlopnIabckKXuwspa3dQZk3RfFgL56XnpEi6NrjebGzlMZG2WQnjEkwob8NV/urGoftscr5+98Fhp40SeA7FykMQzxSm+DCUUeB30+JN8uUkJCC9uzJdYpIp9Xx+V6E241l5fRZ/x3jkwhdn4R6WJk0FBZSXDxeyjJsCN/ny5UfFBXJ5pzeTjotJWimiW4a3BN15Zg7fj/RqJqjtmab261JPuPHK4TEDhOVMr8d+BgGcOqpdHZCmTlA8vnn6QW4+mo++OAGIMH27gQJRX0N7t3LT858Ebxehu+9l3uM73DVVdJhq75enLPbbwfefps1wD2A47JLETXEq3nhhSuIxWD7F7/Iqg8+gNdeY+tWdX0ffshAzWyuuirNqlWIFubSpUwJr6ehQdbX71qraDOEhWqjleXRVwUO9fl0+6shqwBiMUpiXXjahU1KdTWbXxeG46hRMs2qq9V98/m0gDPpNOzcyahReRGgJZ07iooUIUsVohYVqfKa7m5BGNyltlKgjs7s37IdQnw+YRq7S+SYcNjmvEiUrn7SdsIxTYqL5Rnnt0bq7pZ7ko+I5GO2tni0ztcpSNPO/tjrxkad9pcW+8wYvE+CMz8pkvskyDP/e3t7e0ceuJ/rPeJPG1SPx7VusN+vattU8ajfL+1k8Pvp7tbchjyXPzf0xpcXXWBZZHBKfooc6qFPxrJI4CHlLsXtzsH/djQyoqZPGT0bCtE5AFUeoS2qOje76ebgILninB07tBjsiPuAGFuvl1xIGAxqqL66WgxGYSHyxznnCKYUibBgAblOCcEgnH++zv0FAshG8tJLOc/VLKOpKVfqVFkJJ5wAju4uOVnVYNIu57L7TWqO9r59EAjQ3i7v6wi2uztXB6lVbHNj1ChynSfyrz0/p5cnDJ0/hoYYKSig4B/bqf13Qpr542Br6WBEsYySWtu7d69ctmVpOrhlKdjKZv0YBrt25d1PZaX8fiRaq65mIO6gslIgboJBUc+Jx+2qmBxpYdQoeU5ery5z1IzDtHSL74mX4B4/Xgzehg2ImFMEYjE2AoTDPLLSyc9/DlRXsxNI33WXEil4j1273mdwcJ/05lO5SkAErbHX5jYaGyUw7wQyzc309+c0Y2V5ZXIiFe+9B+3tOGLbCYdl2obDQDyOK7k9R9rauRMsSxODd+9GrNfWrTpKSqUdWnTeju727AG76tueyrZx0BwARWqxfYx0Grlx0aiuDaWwEOJxDdXb/e8cse36Nek27YS0tPuxtV9xu9mzJ3deNqdBQ5pqMufDrfbfOlCw15Fd8GeaOj1cWEgefkvOwKmboNHOgpEyeJ8Zg7d//u1gbM39jz3QZw723faYPXs2FBRQUACvvdY8YjNzGkLisKv/baUColEiEZlTlZXIDK6uJoEHZ7hLy4pBLkWmZ7Bpkkg68HqFep01XSPZS8qjSadzShOWhQjsqRntMTN64dg1p8GgkskKh+U86+q0+ksolKMIWxayKrq7czViPh+pwBT++lc57vLLEbYAwG9+wx33uZg7V6jlPP88XHst9zcLjPOV4CZ49lmwLNrqrhAICrFvM0ZtYUK/wFjZ795E6vZ7IBjkK8FNXBG5BX79a3rmXUPF3Cn8+Mc7WbgQrqteL9hTXjHi1q3y23/6k3z3okUw46P1ElUWFZG5/CoeWlNKZ6dEp9OCCXkOb74pm4XbTUeslFWrUB3qoaRlvXjde/ZAZSW96VJ6wuJxjhsnz7WEAQBSZgmRiN3lOW/x2s/MErHw3btzPXVHjSLXTUF5G1lTZJT27fvX1+EdzKh9XF2q/e/8sSMWA4eDd955O+fMTJ4M6TSBgIoeTFMmn9dLb6/cK2fTRqitpTfmktoy02TAKKXEK9+/ezcyAT/6CGprNTza2qo23wcfZPsHH4DbzdtvS+73ySf3cVJdBlat4u235Tau2bGDLuA7se8gheIX8OLhh5MGnvrNLv7jP17issvgxcJCtgLm5Zdzyikrge8CxUyeXChB92235S76v/8b6GF475+AGh6Jnc2j6i1j3zDf+tZfBZZ/8EHuvhvgvznlFIgvWkS3Iodtfq+U+fNh+fKEMDqvvx6efz5XVF1by8D8S2lqUum6oR2yVnfv1kWfra25KhmPkaIqlBFNTiAVrNLi5zaDTNsWNQ937cqrINmxQ8PQxcVI24KhIZqb5Z4feSSqxiSn+Y1liRfr8+WIJMq47t4tzs4/BADq953phKRnDIOM6SEcluN9PuSi1LMdSDqFma4+O2aMQsjyC9PJ2zPVfmhZaK5Fbh5/Bsb/lqySf+z+BbdZHP9wvFt59QUFsG7dMzrvlj9spDGRdEi0MjRkp8hy7TnsmaYgRY+ZGRkw2IKXCqfP46/kkoTqAzZSMGF8VjvTadOb617Q2kqFL6FLJd54Q6ERNnzm88l1qA03n3QTiyHYTiAgM19JkDU2yuHz5kHJhj/ICaxYwcbIFObPhzsu68ET7aLjsDO5ZZnU59x46hZhkRgGqbUbmTVLvv/222HCz74Da9eSqZzG79ZJV3aXmZVCujVrIBRi4Os3sXKl2Obvf38c55yD7AaLFgnWpTo5vPuuGP+6OjFWsRgSgR5+uOQ149uZNUve6+xE5NViMaGbjh0LtbVEo3LJdXUKJjJNYacedpiGg+wxfrxiaHtLyPpKMU0o92cErrEfjv1w86Jouz2Q36+EBkDDgSSTOOIDOhL/Vxu8A5FSPu2xkDN8ztFjoKCAO+64hdGjRXrNRgJsbgQ1NdLupqWF8nL1PCorc/dR9RcsYYC+qINAQPGKGhrEkYpEmOntoLpas9jhsssoPfFEaG9nxt4X+eIX4dRTC3lkpZPvha/gy1+G9JEFWMC0vw5z111XAzcxHPw+SWBhfz/nnPMjoI8fJq+TiA94Yu5DCPNyiIICD1ddBX1rt7BaXzfcn74CaKRg9BeBU6C5GRNheFoWfPTRKVSt/iH8/e/84AdbgAU8+O0ePEDorLNg/nz27hUI/5JLPNIQ+txz4cQTxSFOp2H+fN2HbvFipN7tqKNyazGZJBgUZ2toSEne4dSGwWVmc3NUwT5jx6rtxjQhGNSsSK8XOOooUu5SqqvB2bJJXjz9dGIxIfmMH6+emderP5P1lcpCi0QkBeN2yzF+v07JetxZu8ImV4Zgs8xxkLKcxGI5JzwQQK7hiCO0zKFuek0eV0VBYbt3y3IpcQuDMGOI0L7bTR6rMPfs/s+Pj4vS8hmY/+x37v/99muWZWnP4YYbvit5F2UhcsfIZzVNd/x4DcdYFtoQeayBnDZePJ5P3MwNFRns2SPv5f+efaDNbbFZk243mOm4wB/BINna40kZUr/n80mS2utVNV+qT44j3KPluexm64cfLhu35s3X1orBMk3OmJtl3jwJ/DYf+iVZvTffzOz2+/H74XsPV3DH6in4/fDDea9y9dWwKT1drHFZGa6FZ9PdLZP8+uthYMlPYfFiLAu+siDDefFHpMq4tpbf1fyU73VeTDwOt1Q/we8WPsX8+cLWu+PhUoGb8mRu5s2Db39bYNCxYyWwu2dNBYmzLhQrs3w5U2KbqKmRxfPOO9AXnCm7rBIKnF3Zx7x5WiqQVO1JOTpcNIon2kWFL2GTNenszKU0HFYmh+fYeJByLGwqmtcrcLBtB3XkbkOgijDgMjL4/SPkD/8t4+Pq7z4O4jz00EMhm+Wb3/wWO3cqhFzhwDbHiXBYdsxAQOe5+yiT2qpol2zUlZVSj+VO0N0t91NLqFRWQmWlloebNw94/33dzThTdxJ79+bU5a68Uj4/7fHHmQXMnuvknXeWAR0UhL/PGbt3QyDA8OkvM/zWVDZfcA9L33mHz1dVcV7gVVateppvfvNP1NTAkiX7uGbFdBapBzANuGZ+L3A/MAco5aHbt7Pk+9+n3DRxXn2FkG0OPxwefJDHHpsOTOTrd1XgWLZM1lB1tV2ix913K/bvlVfyYricZcsQD+vee5n99i+or5fj9gUPh5qaHAO4u5uyZBcnnigRTzgszNGOeJnABY2NnHKKgv9Ufa3dn842mOXeBIcckmtj5TIyRCKIlqzPB6+8ott6vfYaugZ17NicTiZ796LrDmyvXMGpH30kc8VFKkeoUxBlxi2i6C4jQ5k3xeTJuf55tuQiyaSIqatN0c6oxGLoelf7XLKGU0eOY8aorfGzUni+//g0CfcDRXAf99mDfX9raysUFDA8DGPHCuQ0gjpLTjZK07SVcbNFNPp3KU9HRVMZ0yPHGCl27VIP3YbAFHxZVCR/apjMDiPTOUFVw5AN3rIQutNhh0n5QnwAV7xPaz1+9FGOQKMxUMMggQcsi3Krh7o6SSBvft2ZS5zYitKqjMHnE4P3zjvIpGxthXicpia0lFlJ96uwejWOzg4pkO0sEe/N56Mk2sG8eWJjWlshGyiX/Kb6HkIh+idNp7NTQbBxkSnDNDU8G4vlnVc8Du3tws5Evuatt+TUR0TPagHZt9CuHMDvlx1CeRc2Bdrm7OiHml9rp4btgzjI5vILNuyiudRqKBKSTRYtLFSiAt6SESUJuKXfYV4w/z8en7RGPgnaP9CxAG+1twEwdeqx4o1bGX1TbQcOn08/G4cjx7S0HSk772b/bRNbdRF/PA7hMEcfLb/54IMIjXLbNmhqwtm0kVBI0BPVuJtwGAYavgTAmqEhprj7kAawT8Lixdw+NAS7dlFSX0Vd3RtgWbzT0UFsxgx274YHHtiuoOZCHnggAX/5CyCtXiKHHqqufj1wI6tXQ/S227g7nYbmZu5vnCaiD888w9y5AG+yYoW6nrVrYflyPJEO2ttFdH3NGiAW0y0bCYeVxZfp3tioIN5oVPLQkYiEdV4v4bBG4bVyj+319vejW1zZ+TjDUO8PDgI5WN1WPtDPrLBQmsSSyhkvwyDr9rB7t3LAurux/+iNOsWpVg/Ptn9ZHCPZlXmTWavC5CnDfPABOSUHe/3k5esGB/PE4lVJy/5QrWWpy9uP1fmZMXj/TASXn4s40L8/6fsrKytHvpkX3dmbntMQZRRda6QWvB0gvPsuGi90GZmcxxKLCXSA8vhtBko6LZ4OeQKxySRZwymbJAJhOGLbmVAs8OfOgQK0TIg6MWdygJqakULkHREPqZqZ0q0hvV3rEXmSIkf20UfQl/SQDU0Rg2hPxvfeo7oane9j7lzxTNV1FhfnRbgKQtEdqffulUXd0sKkSbJu7MoFHRWpNugT+tsYO1aYai8mpwv7JBLhKwuzfPGL0jYlZZYIbFZbq+uTKvxS42Tfgl27FDlg6lTdcsRjDVBdLc44QFfUI2FXUZEoqRgJ7UBo5muec2OrOtgGMxZTc8WeCLbxSiYlV4GTRNKhNTJLvDnYyY7SR5BWGEnK/d+MT1oj/2yu2z72HdWiuqDAyF2zGjZdPIFHPJYdO5jg3cv48YrUEQoJfd5PzoHLk7dKhabJMeoBzJgqHQyKipTk3W9+I+FcUxPfq36KlSvlfq1ZI0Zi5UrwnXgiThDLQkhObMkSLOCJ5mbVDeE+Co4uZgpi0C5tvYZf/KJUl1tCgkc7j+dKdV3dwLvvHgYsAiby/PPv4H//fRYAqTff5JqF2wWOr62lJNrBscceR1ERDJx+oVCFFZY+zehg/nw557Zkhc7Haeb0X/6iVf36+9HiEYRC4iV2dlJXJ8FzMqmc6X70fdQENrUGtQ9mmtiKCbavaDMhk0lFfCku1oxs+xEkLBcOZG+Lx9X5FBZCNEogINGaTXCzHUSbqWyaaLEF3G527cozXOk0ZX6pw9PKO/bCsEkr5OoUtaCHIWIEO3bkrZ1kkhKvMOb37934mTF4BxufRFo50PGfNNra2nLHOxgR2dmbUiIp7KkJ47OaFJIJVGjI6/DDkV3e56Mv5lRK33GygXIN2ziSidxOq5QIDCOvCNztlqtIp/R59w+XsrFJIoJxg2FZ9arbQspbRk+8hGhUIAYbGqgKZXC98IymMmOaZGuP56kW6XXX0ABl7etxdHbkGGRuN3z+86xcKYYqFELUI557DurqWLUq14yTWAzmzuV3a1x0dsJJNQmG//Y3Mi+8AHPn8u1vC2RYWQlV/gE0NdLrhXPOodc7jaIi2SdOcm+BnTvJLLqUa6518NZbgma6Njwl1tJWoPV6eWqDizVrZFEFApJ+m+bfLmGf1wt1dfQmRQC7v18uaQpdAgMPDkJtLZvf9vDOO/KIpwQzOR1O5aVm3PL5dBpdAOywMmTdHhHNtcNHZcCcZPC4szgRrc/eiEM7yT6fEuNVVHy7g4DLkE0iT57y3zL2N24HgjQPtD7OPussKChgwgT/SKNsy1ih6ul27ICTT2ZncjSWJdAjr7+u1X+0Y+Tz6ZpJ17onZA4bBh3GNK672cWqVWou3D4HTjsNfD421t/CpWvO5s474bzKDs7zb9I52KdeeolXgS2L70dMFVif+xxu4Lxvf5twGM4//9cM//yPRICGb3+bggd+wFVXrcfrlTl87rkBLv5WMcvVpc3at4/DDz8LWAnUMfybzdx/6KE0Aq7du3EGlKbkAw/QQRWvv76e+noomXu8FAqGQmzyn8dPnq5i3TpJQU9b91OmVSo2Zzotk2npUlaulLl1xMQkWk5GlcT0hU6isVFQnapQRqd/Aa2iYhjonJmNPNpzLOGroLtbGcXWVohGcwQqVYvQ557CSy+pfFz3FkgmCYeVX2M/4GBQDE4spvUvdY46z+HOoPgOsRgTilX5k2mSDVbQ1u7QLHZnd0de5T6axNW/x0MkomBaxTf4B/Fov18z1gt2J0fM1c+MwftnIBj7eAcH7prwSWOdgjYKCqCz8+0RVHL7OyEvnFebnT0B/H6p58Lvh8pKYfZGe8Hv1/u8281IaSq3m71782SCvF75bhU5ZHFAOq29n2QSafyqClCdsT5cye0aIeofdNn8DplYY8bkettEozhi2zUKl04juYPKKjHCNpdf1fmYphJmDofh2GPJzP8S4bAYyumB7XL+NTUkkzmGaoHTifPkk2mLlmIYWiBFCDHvvScrfMkSNh12IZEIfGNuD2c0fgdWr2Zg3sU0NAgrr6YGprNFNsW8MChjuDS/xk4Bza7eLmFiYSHMm8eWbo+28TpZHouJNuCYMSQQYxeLKYfbvm7FqU8YJdr2jR3LSLiIPN3TfLLKfuHa6NG5tIdm9ar5ohP1hsGePf8g/P4vG//T+jv7vQ8//BCAPXsGdXGyjUp4vXnQpJK537FD0PYpgRQcdhgJb7k4cfZuZ1m5eaeKr/F6qTK6uPpq8Tmuvhr46lflRJYtY3bsD9TWij3YGK0iUzsTtxvOm5+lE1FIqauTwydOfJrbAT9w1NM/5d57z6KxER7+1rekA/Uvfwn8AnhAs3SbmhgJSdvUYgCeFDYhoqOJZTE0lBYHbN8+xdJsJBiE1GuvkdqxA1pa8PtFTP7hh9Xe3toK7e0yD7dtk68OhXjzTRUJ7d4tk1k1hbajKMtSpQeWSBOW+YX5SCCQc5J0vYIalqVlSLT4iZqXenoqyDMe140VtLO3b1+uEB2nEGVMk1z9qPq7uBi9f41QC1I/avMR7EoW/dv2OlGlF/YiKSrKS8upyC+dlog/P+rT1/RZhTTzxyeVJ3yaKO5An7VH08sv63/vzRc4VMbJRrEMQ9rJ2Lmozk7xnKoqs7o1ccZy6JYb/XuEVOL3KxjA/k7TJJEWPToX0jIoYzmkmzbiNdkwhU3drgplsLP4KVMZPq/XXgcUFek1gbZEdm7O56MtWsqOHapnXvurgBjrrNsjHwoEyLo9NqGRMlQDz1mzSCbRDMj+4VKorydhuTjkEOldx7p1UrtVV8eDD8J77+2jrg7Kolvkvpx8MpnamWAYzKxOMNPfI+dVWwuXXcbatXJrGhoUeeHtt+UFO4E5axYrVoihmjdPEK/KSnLFdp//PP1DJTbKqg27o7tLvNqxY8nOmq2FeKurYVpIdSFXG3Aq7dAkIsMQFNTvV9qTbg/RqOwnum+efX55DLVdu4QUapcFljCQ+w07w59Ok8WhlVn+3zTsNbEjFoOCAgYHB0cWyLvdWiOV1laorqbLqqCwEE48EbnWmho8bkFBMoEKjYGm0wodULI7zzaXkApIL8d58xAxg7/8RTcQTs37Eum0POvZ1nq6u5WRuvlmUsB5wNDQQgBN1V9UVCT0dv5Ic3NuM0y8vwt4DZBnumgRbF/+BEtVNHM2UPDj6foyf/7zp3nxi18EYGlREaUhDxMnmtLYsbCQX/96NxDgnvkvSgR4ySXcH7+Yu+6Sx3znnVDx+x/Be++xhenSQquoCMaPpy/poahIsTRteTbVjTjjllSGzycCzbZ1SyQdUFnJQNyB261YsuEwjBljl0Lqsoa8AE0WuHLOPKbafyorbS0AYZKm0wwkRRJv7Njcc8YwpJZYRY4Zb6ld5aApxrZSkY4CgURa8n67dumSStmT7A3UNOUzirGeTosRnVCc0cZ3hCE1paVWYeFnmKUJ/yiP9HH1dJ82mjvY+ysffRSGhxkehqqqqdpbyZquEUKplkVuR+3uprJSDt38mkNmUGenyH0FK8DrZcKoAV04O5BUob8yoh4zQ2EhDKRdMrmslIbVbJgMy8LjzmKa0BNxSoRnWUICUYlhmyJsc2HicchWT8sxMxTBZpqvjxNPlHXS4zuelLuUCeOzYohVAtDRvImLLpJL2RQuE0hz3DhKXnmG004T2/HMM4DXi2fdH7jg2C5GjYK2+bfgVFqWD160iT/9SeqcnghPJ7voYoH+2rdINNbcDIEAm8zZvOj/Evh8XBzYyIsrerjySrj3Xrh/54WwdKlcw/vvQ2MjVyxMcPXVshmsWyfR4ONPOklUHi9wyjOPUBXfRImZ0rqAPcYU2d08HhzNm5gd7GHBAolGtnS6GKg/WzabeBxXpIsJBdsJBGRdbtsm32GrStg1kyMiOrdb8q1qckwYL50aiovlsJRZkouyFasz6y0hnc5JH/4/NfZ39A7sNsq1FhYWQjZLLLZDiA02Vp4W3cVIBN1dfkq6jTFjJMfWS7nWb00FpgitXWFlfr8yWIsXQzjMGe4XcYU72LZN9sp7ljmlluXDD+Haa3Gt/QM1NZKn3eSeg2nCjTdC39V3sDQYJA4M//UK4FrGjfsNS99/n+jgIK/6zuAXvzBpaIBL9+5lKuA+pIC9e5+muPhpPvhgG9dfn+bsFeex9Cc/wY90Tt/D+ZimqPV861tn8fBFwyz1+1kzOMh2s5wVK6Dtzmfh1lsZ3juK8eO/wcwlJ3HGyy+DZXFN4AkevHW7KLgAT029iczfXmF6TVaiV4VLlj35CxYvFvWhXVNmiBdgWdDejvP5Z6jyCRLTE3GS8JbrAJBIhJJIG4GAyovX1kIyybTqrESLNTWwdy9TzF6qq5UT8OUvg2EIWpNOK01BcTCqq6ErXgqzZtnBpY4q7TY+/YVlZGuPB8AZ7tJNRbI+gXd9PlU/p5TYM6ZHYGsrwYRRAzrX3tqKljkkHhfjpur7StzCT+iLOXW3FTtP7CAre0dygKIi5WeKR5M3rz8j438KaX5S1Le/IQUoKy2Fffv4whfOZNeuQt0ux0GW11+X5+8xUoweLUr4NjWzhAHNHlvfqJiPzc04OjtIpIV84kqKikFrq3qo9m6cTGpZoL6YU2qdbOl4FUFkcOqcECAn0twM8ThdsRLWt5aSSDrwvPQMJa88g9st+bcVK9Rm29Ii1iGZJOUt0woMFYEMrkgXqbSDLe1OidpUQV9ZXJLuhYVw/9oKNk68ED78kAnnn8R1DW00NsLMWU5hyy1bxvQNP8Xrhb/vqmDghjugqYnz3v4RS5botoG8GKmgyz1dNsm1a+Hqq5kZ7GPNGpizwMMW72xYuZI5K77CL34h9+qamz0CM9nF84bBFKOHmdEnOMO7iaOPFvjo2mvhqfQcOa6pCe69l7L29VQFJae5sdFBZO94KVEwTTzN65mxeyPTQwmiUTHsfd4qbX0c0T7KjT5mHCs1lO3tuaahTiObg/cAYjFpxYRArqm0NO7M6w0rtVS+Mk1acMQHdHug/y1L82DjQHP80wz72LPOng+ZDE6nKwf9rVkD7e0270j3ViMc1so8K1Yg17lmDa70AL3pUtlAm5uxLEGp+4dLJae6bp3osDbK462tJVenqrowBAJSyhYMypwNBsUPWv/f7+GfPJn/OuUUhr/9F2A1BYdeheujYe547jm8VxWwbh0UjF7HY2Ovw/H44zgnFDNw5fcY/mgsO3dKV+2CGw/hhxOHWWqa3Ak8kC7gb397GjiF3/72Cjy7tzH/P/+T+AcfMCfYJRs30DZ6NNsXXccrrwxRcEKMW4KPCn63eDEVy7/DxQ19hMNyrgNxBz4fdPlmisV+/HG+EfshS5YIkHH/6jKeai5lIHS8QJx3382U5kcJBtFaop2dyH2Jx7X/pBN73d2SagmU69yHDSZkLIdmJmdMjxhFvx9Hdxcza1IccojU0dkMyJYW6B9dLkjSunVMGJPIMZ33r6FRUKnLzGrV+l27ZGvLmB4hmljbdevIrrBTHPH871F7ocrSSE2fGjt2qJZCqkbIFe3BQ+KzS1o5WDT2aaK9/Y89kHc7Yiho6oUXnqGvb1AmU2srdHfT368YmIjnvnu3+syOHZpuvW9fXoJVhVkeQxFPfL4c/d3+LUXfs4MFpfgjCz4Sge5uMpaDlpYc6lHhS8iPu90QCOjaPI+ZkROYOJGtW+W0gkFwdbflklVK6FrrK+fttqbJSGX7aBSXkWH37pzIApMmyZd2d7NokdT8dXYiBINgkPJAljFjlGjDwoUwZgye3/6CS2vbOOUUMRg33AA/XF0l7uWqVTB3LvfcLkbpppug77JboKYGx9qn+NrXZG3aqiRYFls6XTzSWCF1dS0tzOh+jNtuE8cxFoM2q0qsn91Dr6WFKcktzK5LMWaMLMSuZJl8wOuFzk6q3L3U1Mi+3RV20meVCrFEPcOKQIbqamGNDg2JszNAiY7g7TIUIhGtH6jvGWIgXabMOa0WD5pO/u/O4e3/3087otEoZLP85Ce3CiIQdmgV8LFjZU72D5dqo1c4GOfYY1VUG6wSBlckIvWeamO2vf3+fkS1RXUvPvZYMXjpNPQmS0RPMxaD1auZEszQ3S22sTfqZOJERYwBuPFGpgDhu+7Skdkhh7zG904+mSQw5cgCfv7zsxkagt9ZXxJoYtEi0a5ceT8vXv0H/vM/v8a2bd3MPHYPS2+9lRDg+kIBw78pAW5ncPBxfui9B++tt4LPR1MT9C24Bg/w7L33MvzzB4HTue22J5n2kwtFrFOpXV+zaEA3uB0clHvWcdiZMkfTaaZF13PccQLj79kjDZe3hL4kjltLC46HH2J2fYZ0WrFflQi33asxgUfqFWKxHFIwYQKYpt3JSefkHGRFBNqGFpRkYHGxpFRKzJQGrj78EF1fCXmEmFhMO+jpNLoEaCDu0B0YJhSltPHKBsp1tOb3C6oyIgeXJy+WV6IKlqU7ghkGUhZh9/S0LAqGRkKaIzN6/4fHp4nQPukzH2c080dBQQGMGkVhIZSWOkgZHlwnnwyWRW2t6vA76GLC+CwV3jhYbvj850mYQtBQjpNsgHaJg4JEd+zIpXAkSezWKh2WwqoDASR/l0xqmrId1VVXQ0m6D7qjQmw58Qu6uNuT7IOkSf+Ms+nvhyJT2u24OrdAOCJSRt4KLV5dWalyhpZByluGZancYB4Tsjd4Estult/+6e0ZqfROp2HdOk4/00EwCA/eul2kvxYt4qHGKSTvgznH7aL6j9dAZxCuvJKuiBir6DtiE044AW68qA/OvFFO5vbbueM+YalefjmUpXugro5EzUn0N4rH72jeJNii10uoTgxJb8RB+eLFIl30uqyFYBDK3QPQGckl2aur6UuXEO1UCi0V2+U6I25SldPlnhjgM3QAiSO2Hbrj4PPRP1xKf2eu/tZekC5S0BnO5eZCIRKWSxweK5eqMwxIpaVUwUkml/czTbKmSxMH/h0jvy71YOtof5Zz/ti+fTuMGkV/34dccYU69fnzwe1msl826Qn7+rApj7v+3qNzY654X27DtB2r2lri3fIV04wO8HoZWHAFLS3y9pxZGUUgQmC3Y4+FYJBNLU7dHzEc1uAA5dUe2gYHhX15139A+iwmTnyavkOOYt0LnVxRVERfZ4LkCrjwQrGhL7bPxJ2GSePg3dprCIfhnjsz3LPhPBKvvAnzf8KmHw2zbBkEl4vS2BXzToTbvwFHH01HtIS77wbP3bfAd79LatEdXHyn5Ou+/vVz8VgDEEOqzv1+st4S7Yx1dso8reheL5P4yivpH12OI9quYcJjj4UpRo9M1iuvJBOq0vnSETkwZPvwWAPiqdbWEm2GKd7tUqDn8/Fhq/yeo3ULeL10xUqAEqaYvRKeBwL0mlPYtg2OOMKF1ytfFQzK7/U0DemJbCMYBAJEwuL4uQxpYeY0TbxeF8QBt5sULq3F4LAyZAwX0Yg84wlFKQ3pAzjiEhXavfksS+Utk0nSZu57XJYw2+3P7a+l+ZkxePuPT2u8/lkFFj1Udt7rLcw1cDUMyowsfr9Dh9gVPkOzz/bskYhqzBglg9MZAa+XlE8aZzpi2ykuFn1H/fDsJ+n1QlISxY50SjM1AbAsQiGn3iN70mWY/jJIb8LRuJEppgm+SnrSZXS2ysdm1mXtpnxaxBm3m5LkACVWBHxBnm300N3tYt48qEi2ySKyd2i/n2xlFRtWyARduBAxal4vXH01Dz3s4IgjJFJjzRqYMYNHm6ewdq1Snv/NGlIPPIDrr3/lS4ulYe2118J58zKcVIf81vMviAE991w2D1ZRa8L3bshAOMyAdwrrmitId4uTW+XbDs0xYQVFInjCbQSD04RhF/eQTstGMKd2QHBcr1eemc9HxpIGrMmkylVsjEBTFwQCQsl+WqL1WbMkNwHk2JQ+HwOU8O678mcopFhyKIgII1doq1i39kdB1+jqx1nmTuS0TZWqvD3yytv+beNA0P8njQ3P/wUMg6u++S1CIdvZrwGfD0s5W0Qiupj+o4+kuPiUU4A32qVrtVGCFYeScDcEAjQ1ucQXjIiVKwmFmNNg8uhKB1de6eTOO2dyxvVHkensxPn979Ox8IfccIM8w7aWDFOsbiyrivJAltWDg7iAFdZPgbOAJfQNTyTeGaXq/WGuuB2WAlfcVMCLl1xCyc0384UvvAYE+PnPT+Dtt+Hll+ErG65k6ZtvArA0HOamB+8CXmTbtmI2LVnA/ZPOwQfM3z1MQwj6Vm4kedtttL08zAlHr+bEExfwqPsbMK9dLPHcuTzUOIWmJkl/V627B8+8eXRaU0Rg4eGH4b77uO7uMoJBmH3MTlytm5iuFGlIpsmefqbopUdywZhhgN2x9e9/VwiCEmy1u4Pburgpw8PWrQLKENsGpkkkmsdKjsXI1M9m3QpBakrSfZB0s2ePyr+Z2Zz1sxEMRSbZsydP89LrZSDtwrDAo1jILncKw+fCSYas4STcLdMkFIKSuJyvI5SH5ZsmKUPKEnSnhnQa/KWak0A8qTs3uN38Q0O8zwyk+WnGgRbvJ7E2D/Te24oVODysoj17J7LLA5B91zQZIbkzYXxWSwANJJ26wNveC4hGcZIZ2U3Y3ixVEenevZL/sUfWENUVZ6yPEq90im5tzSs36O6Wmp9OETOur4eZwT6IRhkwSnmxxcWWcImci+q8mq2exoutHptcSkUwq1sZDfirGPBNEZ3HtU/R0CDzecUKcuLRN9/MFbO6MAwxbh31V8DEiVw8P8G116oTr67GFQzChg1ceaWc74oVQkboizlFcPonP5HKYcviz38WgsrGJslrlrSs17Jf3d3k6idCIbGAbjcV/hSf+5yuMSccVjCY3y/XaxfQodGSHIVe5TfK3AkbTRNY1s5F2SoQ6TRDQyMrDuzhNLIjX1ShXP4x+YI5uvg3z5GxxQz+t0XnHzc+Lpf9cflve8w97TQYHmby5CCWldcSyTBy521D4JGIbj7c3494gOk08bhyAtXmaJfPUFOj1VQ6Oh26LnTWLODkk3GefjpUV2Oawm+57DKlYlRZiWHAoysdzAd6gXvctwCFwJ3wzju0A+X15Vx7raR/ff39TAa47DJ+9rMLgKnceacYO8NAUYzVfXnwQcCr/tpFquFspgMJwHXZVzjmGHgiPhv3qacyM70ROJmXXtopJ/jmm+J05YkfNzcji7O1VWBYW9Fh3Tr7ZXY5xmkCnK3gsGNHDjxwmdmcLKGan7GYUi4B2LYNj6nq/EIhAFzRHo44Qj2LE08E08whUKGQ1p0NhRTCoNAmzRiOx3VnhgSeEaSr8eNlfme9JWAYuXIrNeEzho10WDjiAyPEknThvU3BVDU/LjObK5RX69ReH3pdxeM50uCYkT0aPzMR3v5wzIHybx9XaH6wfN2B5Md2796ttDQLGDVqdE4VQ8lFpdNa9Qfd9dXnI5V22Ck1WUDqodowhe2eaYzdFmlMp8n4y0nGZMJoMkQyiUNRdwcsD+FWFb3VZqC5mT7ThIUL6Yh4NCPfQZaUIfCkgUCBrmgPtHdDfT193iq6mwQpqa3N8/QGB6GmRgcfJQrXt6WMPvoIMSCrVsHYsST8U7j33t0UFIxl0SKgeQNs2MDsq6+mN+Yi4fVKxfgJJ+hCe8jNb954g9ibb+IFUsFp/PjHCWAXS5ceCj+6E8JhPKtW8cor0ona5/Mw0y6rAG1cJgQC9Pc72LVLcqt+P5S7rZxXUFOTczDUx8hmJVEyapR+w7ZxVHtHRCu43XyUlH174kQlqItDlyu4ICedpODJXSrKzy/rUo9xpKRK3m//u/J3BxoHzV0fZJjqQoqKinP1XMrLt9NA+iGHQjh3dmkRaI46CmIxymsy9MWclFVWQiSC11shG9/wB7B7N9mGOTQ9LPavslLlnNNpcW7mzmXH2znJ0gl7e2FNC37/eQI9A25Qm/HrALSFPcSBjR98wOw7L+a0Mx/lkbWlHH/mmaRO/yJ3BuGwwzz0dGagsZFE3Rx42ss1iJlz7NtHkdfB4GAD48cfRlMTzDn9dCqfew4WL2b8SoHluTMOsRif//w4eb7unXDrrbBwIT3JUurrxVA7O9sgnmZL6EssvwGWLHFSoQhp8+6W21dQgIbE3W5wtLcxob+NCbWVJNJO+nc4dBeDCpXorK5WaVHThMmTRwrdq27KsZiyf0qQoVNFRyW2MVM1dBoq9Xpz3RLSaeEKxONYZhkp04NL1VLa+viWBc78yY58zunOkEw7MdwunF6TIZXOGTeOHGM8X58TYUHH4+oYVY+YNkv1a568nzAM/iHC+8wYvI/LPfxPFVX2H/b3DAwITj08rOyeXZaAQxcQFxaqnnfK/UrgIRqRhxAKIRJeihViGKIonrFcJON5Tr69qaqCdFC4dTiiMbCOeBnNzWI0Zwd7BHOPBqCykn07BuiJeTRctmMH7N0reaKyyKuiBnvUUWTqZ9OdrhDb2i0byhR/QjzJdnVBRxxBxl9OtF0uKRIoYXa9G1f7Fm78ekjq81Y0CW36a18TKJPdzJo1lpN8HQJ3zppFV8TFk0/Cmcd7dSfcpr/K3F20SKBRZ7gLDjkEX2UlnHWWom4nuOiiQ5nxqyvY/vTTlJ5/Pt9bWcXy5Y3AiTyxugAmfY1MNIrzoovg7rt5/IVSu9YZy5Ko4OzKLliyTG5yXR2/W+0kGpVrbmgA5/PPMLBtm0jozJrFlnCJ1jEMBslR4VSSM+Et5/XnxODbndcdVgaPW7mcsbiGPgkGicfF2HmMFGAwNCQ1TYccouCheHqERqcjncLjNrEsx4jI8F85DsbS/LR5cY/HA8PDjBnjYvt2tJxa1i0oQV0dsCEKoRBtnU5274aKCqVc0xQHv18rcKTcpbh8PkIWkkP6bSsd597EF4+G734XLvavh5ZOCbdNE26+mTlzxZHU6EEsBitXct2SgFjI5m+yqL1dkAb+BgibMAW0ANnf/pbTlz3KIYd0cMklE2n/iSATV8zfDtculXIfgDFjKPnzn9kSOJvVN4tvd0btWLI+YVge8oNnmXHVM1Bby8OzwLn4K6Reew3XggW8ckE3U6eGZM5XVjJglAqxbN06iHihupps9TRWXCslCEuWIFHguHE4w11UVk5haAg2NotgxKJF6HZL+Hx4vF72IEpGhgEz6w2IxQjVqXvi8+nu6W43siiUSoUtvMDbgxAMEu3OK4FRnpnbrWDPSISMu4T2duXIJJOQSmlSika1VA1mMqkc9GgMh98vLHHQOca0VaqaUjt0HZ6oUyW105rFgUOtCTsoLioC3o0J6WaSXM5HH8GEoE8LFziSiTzWoIzPjMH7NNFb/nEHy1UcLMeXf7zH45F+eEA2O6QZCo50CrfbxZ496j4H3Loyec/onJCExxqQP5S35lEElKRRqhuauqxEDg41pfHh6NGMzN3F41QFU0Qisgj6j65gQnVcQ0CF48aRHlWt+7nV1MhEcZlZSHpV9S84W1+lqrKSaNTDnj02WuKhKhSS1ReJwPz5I1JLPp+UR3Qnp+PuhunhJ2THmTWLjWPOZMUK+PznS6Uf3tomWLaMzRPO5p1muPG4jbz225Xw0ks8Ou8P3HtvIwUFs1i1CpxLrtMFyfz5zzzbPQWzGd56K0DV2p/Cum5K33iD85ZO48kf7+aii2bx6J19cNnNEAziPO44OO001reW8qtfybledhmcVJsSA97cCgsXkpn/Jdatk1tZW6s6L7e+KvhVMAhnn81TzaU0N8s1L14MFe1PCRxVUwMnnkhf0kMsLDrY9n0RereTWBQKC51MsKFWFfW4vS7ZACyDgaSTDz8UJ/SQQ1CeRES+LBQikXTk6ov43+fwDub85Y+PI64c7LPvvPMOOBz4fF5JbRuG3jFtsSCbAZwUWyibbnOzOIPBaXjIUOZOk7A89EUdhMMwJWTByy9TdUkfo0aVsXw5NKyeQ1k4LMZg61a49lo6O6cwdqyUMSxYANx8O8ydyxUPH89DV7ex9IEHOAOYcfQDCOh4OeYXCogAS8ePhzVr6IrC8F8itPf08FNrJl/72g/42tcuZbh/qdZ1/a8vfpHtwFLT5HPp24E3gF0M/+3bOG/7As/dBjO+/GUK5jkAJ8Nfhiagc5kD+CU33fQTtsyYwfTKShp/9DaNjR683i9RXw9zNjyKY8UKblixkfZ2lUaorYWbb+b+dVMIBISkUk0PLGgglXYRq/uSpB284GreyASfj2OOmSZ7j89HNjSFxrWKF/fSS9DfT7JGPQ+1LyUsV44VrnBKbdz+JhvWllaR/JpdvR26u0kGphGPK3lEe4/yemVfC8cFiveXsU3pQdjRmeS0yYnGer16fnz0kdRQFhVBmTupmwXj9xNPOnF7hfBnRRS/Id4nHzjqKD78MBcQ2v+wLHAeYMF8ZnN4nyYXcbBj8z9zoOFX+FtBASSTgzmanYKibLgqZTl1PYwtCK2evail2Lk429tJy0Nzmdl/COe1nI7t9XhLdE+9OQ1Z6uqEItzjnS5QodcLiQRVvu26hlOxhUWqx24xbvOCOzuZNUtsoNcrtmFTu0citsMPh2iUKT4Rng6FoDyQ1cIsLS0IpW7+fIjHmZ18imXLZCIvX47sQoWFTJ2q9kGfjzEuF0yeTH09FBXNIhjMK1OYMUOus7NT52sMAwnBFi6EYJBQCI49dqzUYyl1B444Qg4++WQMQ05n0SJpXNk/6KJ/wjT5Dp8PZ6xPi2hrmNjtFoqeqiMKBCStYt8/QiG5QUcdpeHcCRNyNGo7j2A31dy9mxw8OTgIsZjuCJ01nBr6BqVdaCfzDEOLBIA8Lz1v/hfjk4zdx2nOHky5CGDzq6LEE4lE5HJVvsWRTORyrG43bN0qkK/9E0pWwzDQHUUV+g/AgLdCnmdzM6tXS6R4882w+ZgrYMECkSFesoR160QndfVq4XnYD8znQ4SpEWi5uPib6ocTHH/55XwFxHmJRqWTwsqV8NZbXHklQCWwktLqUp5qr4ClS9lu35jJk4EJgKi4r0+fxGxkM43//vd8//unA9NJLP8dc849V13P9VxwflYg7qOOorNTN0PIyQUaBn6/zNcsDt1Kqrtbwel79+pGzC4zq0t0IxFkzqiSA7vf3Y4dsrXs2oVMRvV84nH1o3v26A4ukQiq6aOQUyYUpXRUaD8q26uzUaqJE8nNWbv2ThFXHLHtFBUpIWilKavR+v0MkWHI+ikulmUyYHlyXbBjMUq8WZyGzLcROeHJk3UpQyCg7qP6kWRSHTNC+uczavAORk75V41IJALDw2Sz4PGU6ByNLfFlQ5KDg+gaFkd3F0ceKbmYnniJbLqRHjzuLCmviASXmQO43UKlT6UduXxOMklxcd7kUdeTMVy6pmVKKMv0GlEb7wo76a2cIxMiFqPC6qLKt52KYNbuAEJvVDD/lLtUN5R0dHdRFu9gemA7tbUyV9piZdJDbtYsQKBYT7wX2tspiXUxf75MtocedvDiZY/KjrR8OVdEbuH668UR/69VQhF2rXqEUAgeaZkmIVNlJRV3XkE8LoapqQmeiBxP16lXiWELh3FefQWzI4/idsNPnp/O79xXAPDThvVsacmyZw98b9U0+pbcLztFSws8+SSz61LU18tafOMN8f7//nfoL1S9xNaupfzNZ5hWnSUahY5OB/3jqkRt4pBDoLmZ6WYHDQ1yi99+W2r3UrUnyTNpacHZvkU0UZH8oNLeZcL4LNOq5Vnowmi7Q6wN0VgZrZ5SXCw+R8IoIRuakmul090tsIwa+6dB/tXj44zbgY6xjzu1oQGyWQxjtJB+7E4X5LVV8vth926qAtJ94qWXIFM5DZqbcaUH5LnE4zgjPZqYHI0iqIHPx5Stz3DnnVKW+e67sH7WHTj7+yEQoOq+K3h0aQ/33Sdz8YngdXRVn8c550BvYCZXrlxJOdCzq4BLLnkaeJyCX16Pv66Op55/HpYv55o7y5jZ/SiceCLTTihg+OsvceqpN7Fjx2rOOed9fnLmiyy95BKmAfdv3cqw95ucf/7TQB2nnfZDTiDJLZs30wnMua2A4b+9KRJ4K1eyYAGceGIpc+Y6qNy8GSyL7x3zDGvXyuUlk/CoeQV9K9bjjG/nRz8SQQMMAx5+mMWLZW284zhKiGGGAc89x/TYes6r345hQIfvJPqPns2HHyqj0trKhHc3EQjA5s2IozduHJ709lyDVSVHojkFymqMGqVqWpXs0/SgCGZsftOlNUpDIeW8K2UmursZiDtI+KfoXp82YzedluJyXXiuEICsvwy3W9I0E4oz2tGJRCBbWZUzenYCvbOTMncCyxLlo2z1NDAM3YxW21FlJFNpB8NF+Vm9z5DB+7SL80DHf5xs0v7HA9TX18O+fWSzMDAAdrWnkwxvvy3PxmXJRtUVVh2IX3uNCXt7KS6WSObFzlJ5Ss3NQhpRXHWPNUAsJhM8kXbK049GcaalW/muXdKqJ5V2iBSTSu6l0tJyJq+WneHRZi7C8HrJWA5KrO2UmyJHtHOneJltnU5R90gmRbg5GqXMn2Xy5BxzsS/mpH+ohIxXqcArlqOHBNXVaKWHNv8cMY5NTVxwXA/BoOr1deqp0NREWctTWBa8/rYpVi4axfHcMxx9tCwO1fhaVDfmztUrq8yX0XmFrNsjv79mDcceK4Xqy5cjMhuBgHizLS1MMzqYGZIF/uGHYvT+9CfoP/R4ubC//AVWrqSmRr53504xfMnR4wROsiycLZuYYvZy1FHirLz5JmT85bn+e8kkZb4MlZXiIGzbBn1ReRYuMztCTNem0KXT6tkixtGGQvfsydtEfL5cWyjVuXp/8Yp/1TgYSzP/1QOvEDl2Zv1JMDREf/+H0tPQ7ZFJ3tzM0JA8/2z9STIpV68mGBR7uHw58ryamhgzBpmDLS14wm3YqGVX2Cn3+eWXcT7/DD6fzNkNG6AnqRR/3nwTGhs5+mgNqBCNCkzW0gLZL1+IG4EXH3nYvr7fQFERWwDefJN16+CVVxrZNbEKE2Fhrl81wI9+tIBbbz2Un/wECn69kPRjw/iBpfE4V/6xAPgOoru5kOtWHU8AKTMjnRaDvWEDztEFrF0Lzz//Bs7646Xg/PHHcV55KSXPPYbPJ8Hl0qXy7EuiHWiWSHs709mC4vLwu9VOuowqKcTbuhWWLaOiez2GIWh8Z6eK6BSUrgULDEMmeCSCZSllJbW47Xtm9+jUij72ZhKLUVkpEZ3ty0QiKuq0fyAczpXbqPlu8xlME90dJGM5NOfBJhnZ+nMl7gxjxshnIhHyWrGTq98JhzXBbccOdBNZTYbOE3dwmdn9OSufHYN3oPFJZQifRk/zoMOyKCyEd975QNQ2VD3A7t0KqnC7mTBeheD2DFIyPoWFMmmy3pJcEysYUX5gq4ZpPn08zp49OQFhrbSiGmPaEEdnp2KqTYCCj+KaHZhIO1XZnYR4JYYY5EhE5qvTSslv2arS6TQ+n8otIae4d68qirYVXnfsgPZ2PUG1yLLqdNBDBfX1cNttSJlBTQ3U12MYcg8ys+ZIpPfhh1xwxBYWLpRzb2zM64uX1xxy5045jx07ctcxa5bYxaOPRs5p0SK44QYSNSfJly1fTlX3U4RC6Iax+l4ryp8jmaAqkKAqmNIR8OY3XWJ9YzF46SU8kQ4mThTD2dyMRGK2/mg8TolXHARbF3PXLgUd25uG/b+09DW0H13/DkUiUl4uyGsJPGL0FAEkj6j2Lx8HUhyy//tJZTsAO3fGIZvl+zd9R3hO7ehehuPHy77c3o7uYF0Y30lRkXpNqdh43NmcJF5nJ7GYGKtQSH3XpEkwZowuH7HVSPD7pcPvihXs3ClEEsOQqbBrl8Cgjs4OHL/5DfNGjYJFiygoeBqYxeP/sZ6lJ54IwSBd7Rl+9atZeDxg/OUvON55h/6hEr63uI9bAo8owWkfF174DPP3DgPwIjD8zeuBUwC4994IgcpKgS2rq7npJtg84WxeBHoPKeDnPz+GoaEfUXB4Adx+O+lf/xouu0xaYpFXPpTsv5gAAE72SURBVKAKcfuv+qEgJq+8wvcaXtWiPytXwkNry8SJTKdhwwamWB26GfNbbyE3Yds2fD7ZM7Juj56vmvqvnDY7ezJmDJov4EgmcrlYBTvbnT38/px4Rv+gS55NIIDTyOYIMYrEAipdkNfg1a450ZA9Lv2aHRVallKHsetT7HyPMoCmKWkAp5HNlTuAVpbC7yeLQ1IFecPg//jIT8T/M6oqn+Z788c/JPNHjaKgAKZOFYybWbMgEKAy7/gdO5Si+EeWTuzaLL3Jk/Ngi2CQgaSTEtPScbmNhNFt6XoYdomhGDNGWJ3E07mQyLLwep3/SGywcXdLFTXH4uDzkcBj21Gp+2lqkkmlecyyl7/zjpxSba1SarG8ueK3eJy+4EzuWyppvksrN8G1K2DePB7fNYc3Hhav1bnyEWho4JH+M0mvgm/M76N9xVM4r76f7PKHuOEGMMOCYs6pT+XcyA2tcPTRJM66kBXL5Wevuywhu9qkSfQ0XMEf75X7cdxxyDm1toqBmjgRamroXXwLGzYIIbWuTtT0Szb8Qb5f3deU4dGt9Hw+CPrTVL/zGLy1Fxoa2BQpJ9oph583TynNdCrr4/MxYJTS2TxSickR2w5pAywjB00rRp09T/MhSt3xAnJiuWkj1z0g+b83eJ9EWjlQCc7+7+3/fQD9/X3YO8usWWrzmTsXvF7GjpW057TqLLy0B6qrSYwSiv6sWWiau60yY98jo1WV0UR6c4pC1dVEW+XWHHWUIlGs6ZYHe845mkgRCMgjeuwxCYR6jz6abmD25s0UzPgD8B8MP34aD11QAMEgR5nv0Tn6NaLR43jru/dg/frXtP19mKU3wIUXlvFu9FJumvQOhx02nc73CrhD5dNPbx6moO4s4D1M82n2nH4em57sZPb55/O7xjL27EzJRfzsZ1Qsu473vvUOv/nNTVzcfQssjWD+6lckFlzKqlXipyk9dRIN5+EJtzFh9X1QXU3vWVeptpbtVFbKevVEOqCxCb7wBbKnn0lrq0wxW0qWeBImTmTXLqVkEh+QCRcKke5Ue0F3N1RX07ROPuMJtwHQaUwjnfYw3YzIvlBTw2t7pvHhh/LMPEYK03Qxdqz4xztAO3NOS+1hqhOD7nOYTuNVWyWmWyNPPh9aZm/A8rD1bVnP1dXq2adHolQEAkQ75aUSdwbiSdJImy6/H4jEpEDdLGFwFxQwvN+c/T8+Po2xO9j7H2cEDwRp2q8l7boD4P332+R7lKGwhYAtSzyrMWOQpzN+/IiiY3k4EWnsWlgmobeiQSoCp7CebJcnHqeoSGAa0wRb/ytlloj3ZklXhHJfCsOQvNXeMV7ZJVtbccV6wTBI+coZMEr1BDnySOU0eb25E1eWsL1doi1QZRSRiPyvtVW38Vm9Wk7l2GORxaHkfz76SNa6s1MW0aZIOXfdpZTQ165lR3c3qV/+kkgE7r13F3ffrTx2u6/LunXi4k+dyrJlEg0sXIh4vDt20HHYmdxwg3xm1iyosLrky1taJAyrrGRTtILGRjnVyZNloyjpflVCjlAIZs2izyins1NOu7YWZrrbBNYtKoL6etri5TQ353wBGhvld9Qm3BUXZZzCQvnKUEg1gPWVkjBKdNSuS0zUXHIkE7iMDENDaAKDYUBJslfugWHkYFMr13LqfzM+SW82H+K3j/80hecOJC9z8y1LqazMYxjW1lJUpFiC6bQuAh4aynWkYts2qKsjFlMO3tCQZniecgoyuerqBE9rbSWZRLeHYvlyQQ7cbpg6lbVr5fHYRsHWlV0NRIFrVh4PvANcD8uWcUVREfztb3z5y7Bq1XEU+wvoRyK8z33uSZ5+ejWbN8uzueiiI+mJOLlD/fTS3/yGurqz1F9V7PnJ/Sx98kkiwObr/8CFF+6GF14g+sEHPOS+jvfeu4/vfvdILr7aI3N7yRJ6Gy5l2TK5nvp68Fx7KbS389xzyFzp7ISGBpYtk9tX7k1QQY+sxffeg9paeqeeyWuvSZA1s1agdQ19h0K8+26e8ko6TcZXJo6TqvHL+kpzKmSKOGQXstshd6ZyGm+9Jfe1JNlL1hRlJM34LiqSPcqGmBRL026zmV8kr+ewYiQ7yahegiUafQkElMOYL0cEImUYcWjBJ/sa7GJ7TWjx+4nF1G+rnn65ufoZHgdayP8MU+1gOT23263bA1VWVuUSq+huPoBsghrTVsfYXr1u9plOa0KKvblpKrf9D/UkbdV8u/edDRvo3wBIpzVjcO/evO8wTTKGaFGWeLOUeUUAdvduiX60pqcNiKfTI3JqulgnT4aM7m7mzxd4o7sbsUiVldDeTl2dnGemchp4vcysy3LWWcr7nz+f8WPH4ioqojzexty5xQSDKtdgQxJz58ou8Oabup9dY6P6jVGjqLLaWLBAHIDVqxH1F7tBnSoBUMgGkybJf+1WR5x6qmy0a9dSFu/I54iIVSsqkoen7kEolBNY0UwT5RzY/sioUTpFRwZnbmErNR01cRiIO3J5jGRyfyGIERJkIEzfrOGkxJv9t7UHOtAc3x/i/Dh4s6ioCIaHCQSCuShU3Qwbis1nJNuM43gcudeKhWwYjCBShMPIzbcTQabJ3Lli/5qbkXoTW4W6pYVzztGa5ViWPPdVq2AhkAHuP+0ZpDT5PrjsMp4dHIRFi1i9GhYufAPn3/6GBfSedhrf//65gIcHH0TLzrFuHdXq8tq++lVGjXpa/dXBxS3XcCmwHZjxqys4+eSxbCo+E/8RR3BFzavAV1m1CpETUl1Syo0+6urkz6YmdT0+H0cdhfzoBx9ASwuGIe8PjfHk1FkmT4Z0mnJfiokTZf7ZKIEWXVb7TTKJ/MjQkOT9QdfQOLqljU8kgtxYw+DII5VB8fulDjCd0O0ybdbotm3q785OzTLP+Mu1xJgjtl0j8rYcYVGRQrzyShkASKcpcWd0y6FIhNx7NgMwnYbubs0Oj8XQOb7Ro3NCS/abmoijm/bZc/n/6DhY3Vz+OFhu4mBstPz3Pm6RDw8Pw9697NsHH3xgyANXbYs3bJDF6DSyuRyebUR8Pr2wo1E0hckZ7pIJpqBEGzEcSLtk1be3i5pK3MHYsTlGH/E4zs42nPHtpCwnXbEStoRL2LkTZtcm8Ox4F7vyty1ayuuvqxxcUxNEo8Tj8l0ffYRu90NrK1gWA94KOjtzjGNdRQojFNTL3QMsWCAv/XBFOevrboFwmGm1Tr6RvoelS6H0yvN4ZIWDn9Y9wT3Vj5AwS3m34WtybStW8Nyx36O9XQz0/WsruL/5eJ6IHC8G709/omT+SVxX/yrt7TBn6UzW13wHGhv5ytqvsHKlrLklS4CLLpKShnnzoKaG8ngbc8IPcYFbSDFr18JVV8Hj7x0vosOtrcLWTHfR0CCX1NHpoH9UgN6pZ0IgQEnLes4ufIY5Ndvp7oanwtPYwnRRd4/FcHR2UJ7uYnpwQLM5W1pyTanx+fS9or2dkog8r4y3lL50yYiO6x53VgS/gxWaqelKbsdhZUgkHf+QgP93jIPVp37cMcXjxkM6TW+4i1WrhGXM3XfDmjW0tIhDAugIwu4Or1sJNTZSXKwcDlW+ofOtyaROAmbrT+Lhh8XB+ta3gNdfl/drauhdcB1/+YuQbE8K9OBs38J//qdM/8bHhll8+eXcMW8eQ/wO2EbBV/9I47eHWfrSS5z3ZgHDP/8bBV8Y4gXms615mB+umcbwyXey578fZeOdr+L1QsEpz3I+T7D08st5AvjeUAEffvg04OG3vz2L6qJhrr7oIpK//CWrV8NvfwvU13PHjBkM153Be++tp+CLj/El97PQ3Exm0iRm3zmHhx+WvNzFy2eCZTHN7GK9eTbZl1+Bhx/mjtYzePTu7bS1wTUPT+O6O0vpMIThyuLFlD/9C7xecQgbG9V9VYQXu8t7ylcuIU97O+PGwYBRii13U10th/cPCjNzQnFGjFkopJVwZtZmpKTEcGrDtGYN0iprYABWrcKZTpAwS3WpkyKQS2NrtxsXKSkqVw5gyvDQE1GtzuJxyujTBLK2Ticpf0UO97ctWmen9s0H0i4ypkd3n4nH0QbPEekVBCU7sizB4P/oOBCUebDF+WnhzI8js+S/l0gkwOFQ7PRnOOOMJbhUg8XPfU7IFQNxRy5Hk5d4HTXKpRPvgI4WtO4iOm0z8rPIBmpLlpkmOSYfokjudjtzSgqmKQ1gVR3NtGo10eKQqDlJNwmvqYFyX0qkxezNORTCUBCeLQ2UcpfisiddNCre5/jxdERFdSEQELTR0dkB1EBjI6mamdQ3iuNYUwMYdSLsHOng8MBest4SrDvvUewqyWM4rAwpy8ngIGSKK3DaeI7bzS1LMjlppPrLyFx5DY0bBNKsq0MM2L59OnqishIqK+mLOdnZCl/8opTqTQ8loN2QHwwEyPpKMSy5fJ8PskP7KDe3Q9qCWbM0o1Ll7yWpb2VyD9HrJWWWEA2Lpz1+vKx5YWla/5DDw+fDSueo1JYlwallOfB6FWHAhglUKYNl/fu6JeTP7f3HgQrR9//7zTffAoeDO370Iy657DTxi1RNiA0tRiJQEQpJE9wsOUKUZUEwmCscLi4Gny/noSeTcNhh4PPhiG2ntlbEAMJhmHH6idLGZ+1ayisr8fku5r77YNu2Cm78Zoo5rZuYUxklM+88umof4ntuN4TDvHPnExx55BBr1sCat4apuno28W99i+GTT+aFi+7nZz+DhqvbuGKR1Ey2dbuorYUjj7ybG7+ZgsO/QQNQX1nJPasArgVUDs7vZztQcd8tHHXUD+mZ9wjfa2mBz3+ey6fO4Ze/rJBpM38+zpYWCAZ1jlyXsUQiNDTIBl5y++36Bn5u+iiOOEKjhlqwniOOGAHr1dQgTrLbzQcfyBRyGRk99yZ6Vf5L6Q0m1fodPx6w3GAYOKOit0sgQMIsJR7NAVUge4NdxjswbhxUV5MyPFhp9B5R4vfj9bqENDNe8mxGWsntxWK4TBOvV5SgDG8pliX+zoQJCi41MjnCik2gCQaJhpX0mTujWKWCHojyiyEKSEkHJjCKz6i0GBw46X4g8kn+fw80DrQB5P+76JBicMomuGnTOgxjiey4lsUEd5biYofeyLSXryCGEl8Gv1/krFKGB1c6DPE4A5YHr68UR6SXimAWyxI9xhIbG7csPN4sIN+t9TSV2r/TyFJmbKcsYNKX9LCpxYljVLGcsFK0oLJS+lFZsvEPDYl9GEi7KKmuzrX9iUTw1NbSHimhtVUWQ1UgMbLLgMI6jW4hChxxhEqM2wY6HseVHsCySli9Wrz8ZcvK8CxZxPYXXoAf/Yg173+OxYtlsd93H0wzuyCZxAW4tm0Tz8HvJ1U/h9Wr5TY0NMA0nyxGZzCI319i58ghrtw81V+lI1rCm2/K15im7MFT0m2wrhMbq8yYHpJxuRfFxeCM9YnHWlRENlihN5dAAGG2ppM5K+V20z+2gvBWuY924Ku70duakvnNBTXUJK2g9u2TQ+3GzA6yOVjW7Sbr9rBjh0DP/y5pMXt8GofxQMekUgpyHB6moUG9OH++ZiXPmqXAi5oaYWmmklRWymPK1M7Emd5ICQP0UaJFje1GoJgq/I3HIRbD7S7F65XAQ/+Ogkw+9wWZZ6NGkVPttyyc0V6i0XK48h6mWB1Mib7IW2+dxPXXwwMPwIOGQQtQ+sILjL4d/vjHX/LHP5ZxxWWnww03sOeCe2huhkeP/BEPjb0ZHzB39zAFY/8brv8iRxzxJ7rqLhb8dMkSKt54A7q7uSb5KH3mxZwXaiOIsJUfWtQHg++AWQTNzTz0sANzFdxxcwpeeAGsY0lVTseVTFCCRSowBcs/RfL53d2alFPuHoC4AfPm0T+2gv6w3LqaGhGFwPKB389e5cfqpH0ohNdC9oRolB7vdDZskHXlaHoR/H56zSl4vWV4LNkPzJrSXF6PXObA51OdWxwC0buS23H5fGD6Zd3iwu+XFEoWR657gl1DYBgMKcla20cF1W0kmQRT5r9D7Sc2uUnJFutAYM8e/TYuZflNu3xq+DNGWskfB4IfD5aH+zSszYPVHWXSKX3MD36wVIwPjGhJbRs7F3mtfJS3bvMXXMntYmBMM5cnyKvVSqcZUbZgJ2xLvHmbYjKJYYioaspdSm9c9AtnVidwb9sKsRgDlTPpH1fFQNyhtaxLECp0LAYl1vachFhtLX3Vc9jYWkJnpwjEn+3bJPiFkh7JuEv07zc2SlOD9naEAnn44bBmDc+mZ3PS/BKamyVt8ejylNCpF26k9Pbb+bC7m5lfLCAchhde6OCYY9YzfeEUMtXT4e67Sc6bx/avfhWamli8GL761fVcf32aabGNJCZNgi9+kf6hEq68Uoxlays5pXYFVVbRwamnyvU+/LDAYL3eaQKRPfwwrFiBs7uDcBh+9SuBlYRr3Q9r1uBY8wShEPoa2sKeXJ1Pd7fUVhZITuSDD3LpuhQuydPZCSxbMiydJmUJhOOwMlp9R5VaSkSojrMp2A4rw4TxWcaO/deXJRwsJ/dpCtDzR+KjXTA8zLdv/C6Qt2EFApo44klvz62DUaM0nO60UoIDp9OSlzMMaG7OlTc8/zy0ttKTLqPLqNINLqbRJgo+kQjceSeJK7/Dyy+L/btuwmP0mRUUnDaVgYYvsfTQQ9n4hQJuvx0Kjr6Rgi/cRdXrj/GDdQWctbwABgd59KJh1tw6jKd9E8P7/oPDDjuTLy10kLnzHnbuVB3WV6/GAqoR3w/GAWcLQnfttWwfGoK77uLZyDS+svo8iEYpnVTAjTdKycKvfoVU3IfDUF9Pb8RBZaX67pYWiMd5trWM669XN3bhQlwrH6KpCX63rgSyWSbs68MwVEmTcqCKi2Xq23T+vqhD54JjMTVvOjuhqYmM4ZK62EAAtm6lwjuQS7Hst38BkjYxsjkRaJUDtHvS2UyTbM10+XxrK3R2kjVdvPmm+t5YDEe0jzFj8sohVMlRcXGuTNVeWv07HBqjdJDNrSHL0ry5wkL0wtm7Vz5nWej0UTKp6hGz+6MTn5HxSUST/OM+ydgdLPqzXy8sLIRslmwWxozx6Vo4kIe1a5fmieSqYJNJ+odKaGuXXMxJ9VnduiflLpUcjpEiW1lFR9iFaSoBZ9VodYCSnAahHTWop9zdnatdKze3UxVZLwtr0iTajOlEIjBhTIKSZC9er8zJLeESJhRnmBZdLx+uqaEvOJNNrS4++ECc6oULYcZh22WTqqsTgVvDmWNWJZ1UVkopXSiEGLzvfhfcbs6o6WPBArnEO+8E0mm+Yd3PFZOeIfHNm/B/6zr8f/kLJc89xvDuIL/5zRzmzRO7m1j+O9ybN1N6660Qj/OHG15l1ao5XHSRye+is/G8/DKcey4T/vYHaeviU5ujal2i3WAkKquvh3POEaLf2rVI11u7p1hnJ9OrMzoKaWt3SLiq5KmcnW1ccVmWhgZZX5u3lZOqPl6+f+9eaG1lxtQUkyfnOg6NIIbZkR1IMWxaHI2+mFOXX9pQaRaH5Abt5IfKdSSSMu/+1YXnn3aNfBLZ68T6erAsKiqm5GrpWlogndZ1oYTDwiz0++mPiyJLTQ3yQCZOZMAsk9xMMomdeAqFwJYOefhh8VHOnpXgG4GnZGItWiT5u5iL555DN39NnXshySTs3DmRkhX3sPT001l60UU8ekMbt976NFDBzF9cSN3pp+MBos3NPHrtFtJp2Fw4k2fXOVi7Vn5PKXnJvb/kEs4DyoGzg22ceOIC4AJqa2FTejqlb7wBP/oRZ+x6jN/d3Qe1tRgXXcSMj9Zz6qkBbropzbPH3iRh/YMPUh7ZxEnBXkIh6PKfRN/JF1JZKWUcm9o9QmJpauKM4Weoroade4XRbftPAMRimq/mMTOMHauMjGqBFQrlwZ+BAM6wkFSywQqZ57GYRkZtZoq9jDRBC5mfNgQ9frwYnJYW9ZB27MDRuJGM4SIRmi7wc7SPiRPzSCvq/HTnBkU4sZXJTDP339270bk4kklZEzU1oijlTxAKqWMUm8wuC7YsNBmnxJtl1CglvjFibn9Gxv5kk0867pMo2gd7D2DUqFGQyTA8DD09wzJbli+HlhadOLZV8zO+Mpmdzz+vJaTCYdjS6pCnFI3iCnfgIZe3iUYlH58yPPLZlhZK3Bkb1SGBh4S3XH7klVeYktxCba1s+k81l5KqnyPYwYcfMs2vpISUSKHNdh8agp6IU9xL1ZaozJtiZl2WGcdmCARk4+6Kl9LrrsqbUYixbW2lJCZyabZ8UId/Nl0LbxGG5X33cY33Ua68Urzhe1aUyK7x2GN4wm20tcEjkTlw8smwfDkXBzZy7bViq1pa4NnY8XQsuEWs7vLlXPDG91i+XAzixctnihVdu5Yzoo9wzjlyT7uikhxn/HgpOfBWgWkyhS5u/HbWlvrkd2s9YpxDIbm/jY3MDPZRXy/Pp7d/NF3e4zVrjZYWppldnDE3S3GxfCQRqJLdVS3EmXVZzbjbu3ekZqou+bCVU0jpHLwNzziTA7pb9EDaJXJzqqTBY6S0HsD/k+OT2Jn2mDhpMgwNMRDrY8MGIf6wZo2SUpEIfCB0vC5Gt+1/SwuyySaTlLgzsskq5zEeVz0WFy6E55/njrqnuPZaeGS1h3u6z2a9+zy597ffTvni2VwweRORiDhf990nnRZKmp6C+fO5f+6z9N7+KN3HHMN5PyjgiCN+ziuvnEXBc7dQ/93v8izQ+rnP8a1vwcsvD/HAA1Dl7cOz+hGqjC6uuSxFdTV8L3oNv7lzGPP996G2lideKmB42a+orIQTTniNgmMmM7D4OikAXL1asNzTToNFi1i/6FE+/3mTM898h+9ErhGrtmIFLF2Ks2mjFlxQTThob4fE3C/JHPjZzwTZSMDjjwspRSuUvP02jueeoSTZSyLtZPNmdV8BOjt1Q9gULk01VvX/+m+7z3DCEs1LO+LKVwjyepWRcbtxRPuYPFm+oyfiBJeQTpxWKse0tiwNamURtCNrOHNRWDJJ1nTpTluOdIoSa7uNaNMXd+VRxMmlCKJRvRX173KS9ZZoo2kYecfF45jmP+a9PzMGzx77QzH2fw8GT37c5z92DA9TWAhdXW8KCwlg61aKi+Um27YhEkFm8N69ONvFMI0ZI5O2f3S5PCUbzzQMHLHtmoXU1AR6F25u1oYFBLdOeMslmZFOU2b10tCAlm3qC52kKcIlyV7tEqraU447Thi7XbES+vzTc/1AlGyKs7uDCbt7tE14ttFFV9QjhAq7cCcaZcK+PkBKG+Jx1dJFFUP1zrqYtWvFblx3bVZOrLISfD6Ki8UGJNxlgkOFQpR4sxx1VI71P24cuQRaKEQ6LR8PBEQLlAULIBjkrLOks/qUQEqSP3Pn0hWTiFhHwvG45oyYpnImKivlh9QmW2IkhLSikMWeiFNuli1909rKFH+CQw6RP/uSHpFay1vgNo/IMNRCtxVW7M1D/ds05f7rMhMVvjmSCUq8Qr3OmqJAkTVd/5b83SfB/x+HdOS/19PzPgwPc9N3v0syyQjFFLvvXVMT8PnPw549FH4QpqFBFHN63NPkHsdiYggNA8JhEUMAXgyXwyWXCItv3SNcukA8/LVr4SfPTRPrZpqwdCnX1G/h7rtl/vxwRTkPRc8Gy+Kahg7K/RlCX/4y1d/8JpWVUFDwNO+/XwcvvMClU6dS8+67fPvb4PeP4vvfR8K7DRs0djdpkpzan/4Ed6wsh7vvJg1krr6a+2/oBaYC3YIguN0wOMimZgcdx14oC+DHP6apCY499kiefhru2TBNIlRV7Gprh+ajKx5rQJyqxYshGGTiRM0FEkApGJTNZPduiEZxu23yk7r/o0frdPPgINrh0jW+bjdUVrJrl/zTY2a08HI6zYgctJ2a79/jIeUtwzTRkoIABAKkcEn+VKU77FxfOg2k0zjiAwLbq3DO5qJoAp+CVG1DmcGZK2exWeKWpffAffvkpcFBiTi1w6TySab5D9rRny3SyoHGgQgo+YYw3zjuT1I5mFHMWFnJtA4Pc/zxlfKQTzsNxo+n0p9ThMrglEUcR+/iu3bleB/jxwP9XvlS+6m73RQOSpmNhrDUZ+1DDEMCONMEYujagVinTPjiYsmjDLT168at/Xs87IvLBBg/Xgo7J4z38dFHjpG5QhtbCATo3+Wkv10MzMxa6UadMUtwhtw66T1QfRKrVsm5XnBsFyxZCsEgbQvv4MaviZN74+ltsHQ1LFzIE51VpBthWjBMdfM9EPXC/PlsCZfQukHmazAI581NCbW9qQnmzaOj7lIeuEns+zVXZwWXbWigK+LCjEFVKAPRWE5Mmy4wDXD76fKfxOvPywKprYXp1Zncrmzn/QIB+pKiPjNmDMyuS8lmlDTJVE4jak5h9GiY4M4ywcxAsbpncQt8PnrCoqxj1+C6rIS8Zxu7vEQ9Xi/x2Mgel6TTZL0lpNPgsjI47KSJ38+OXU4pHfkXj4Mxne25fyDncf9/A6TTaa20Ul8vLDtOOWXEazNmAG/EBFcuLKS9Xf5ZEczCK+/pYuFyxSS0962aGuC3T8L48STmfkkLCSxcCDN9XbCuEc48E6ZOpcc7nWRUqlLa22X6uN1T+Mryk9jy0ktM//KXKXjgGuBCfv7zx+DQAtqAae++y7T5FTQ0wFeq26huXk/v4luIxWA6W8iYHk6fJUZmYPVGNp1yCuuAuY8/TsEFp8Chv+Oww75Jz4o9cNkU+OpXaTvrJmorwXn1FeDzsf7qp7gyJL7dPTcPKKolcpI1NVgRjeQSicA0d48YXb+fzJXX8OSTUFzcTn19rmSWWBwdngUCGubUDVTHjNGNWieMSUju+tRTaW+H6UH5oWzt8YTDigSkBA9ihjAnq9zqNb+fGOV0d8tPFRfLvB0aUsZ1zBhdduBCQfGBADtjeU3d82TBbOfe9Hk0jIllkEg7iUZyiKcjmcjlFW0rrprP2kQ1l5HBspy60NwDOecSGOWwW7PL+EwavIOVHByMoXmwmr6DebiGAygsZJgCJk50Cj32uOPA7cZviOZcOi3kEmc8omU6+qxSOt8SgzjN7ILGCMyaRW/EQTkDEI/TawlGX1urGINJS+SYzFLiETEGrlivCiPcWoNs82sOdu5Uig2tL8JrH0AgQE/gJOLdsnE40in64tIkcty4UsajIrLWVrGEp5/Oi00OnSsMBNR5bmgSRmPdSezaBaNGOTBrZuKqzRAL53JQNDYKlDN3LtEorFuX4K23PFx++TRKYsuhuZnKuiqZu6+9DX/8I/zkJ3z9phJeflmQ0EWLYJq1Ba5eJqy1iy7iv4xruOrofZx7biEPHnU/qcJv4fr61/mO+7+46673OfnkQ9m4MiZK8um0eMULFtBrVBBplb3ltdfE0H9lQUbgzHQalixhY2wakQgELdlw5rg30d7bCxt6RNbJqKBxlWyyM2bAhI+6ZTfds0fu/ckn8+w6B52dshFNnaqej2lqoW1nTEXYKgQciDv0+rc1IceOdVFsKJJTPJkzjpbFmDFO3S/sfzP2d+o+7rj8/35cmQ5AOvURGAa33HoHkyapxq77joW6OqJNcOGFMOH9V4V1WjOd8LPtZLNw8YIUrFgF8+bRkyylwpuANPSGZrNnG/x0yQCsXgOnnsrjr0/hrbtlfl88q1ciu3AYbriBxz+YyUed4IvJJuwhwUzaueGGmcysSbH9wpdwAG1Lfge/F3WU2lroQgSlQ4cfTs1Fw9x77za+8to02LULyxJbBNN166rU6ALWnALzgc3NwxTUvQlsoLj4m6L9Wn8D2a1bcUydSiwGzvYtkEyy+Vu/47S6Nzj//GO4p+UkWGAwsHojW7fK2ukPKymtxo30BGdz552wbFkFzl//Gs49l3XrZGl95SvgCnfkVHh8PhLectxucLS3UR5y0zLKlYt0gkFbllMuYPdusqEpbP0jTK80IZnEER9gzJgSgSIne0UCzKuMUCQt0XdlJfFOxQA1t5OySmlsVD0kO9tkLVRWiqOkJAdtRAZkqbny9ITtsM9hWeAuo7sb3G6njsZGj1aMb9vrsSPNUIiuZJkW33G2bxGpsVgpg4NqD1KGMWuqPn+O/eftZ2h8EuvsYJ/5NMfnf3dBQYFWWtmzB3kwkQhZ00U4LAiDz0dOYQPA5yMaFRgrFELXH2VxCI0YSHlF9mfSpLyyAxXGx2KyObrMbE7ZRVmmjk4xdqEQeKJd8ruHHcZe9zgsC6bXZHHEttM/KIQU2yF3tLcJbGOaJE48k7Z2h1YWsdNOJJOyGisrcSYHmLC7B7db8gQbm5wYhuTWz64fkN1o+XKorGSOexNXXukhEkFU4BsaYPVqqt57hmQS9tbMkO4GLS1885uyAdnBEJWVYrxuuEHILqH1/PWvhXi98DvfNbj+/GewLH56WRdf/vKhhMPwRHOZnOeOHXmULRler+TnvV7Y0u6U8MA0YcMGrf2oxborKyUnoe6vXZoYCEiBfsI/RV4YM0aw63BYC+lGIipwVCG+k4xq9po7F8h5xnakbhgyZ3btIvfMlRdsh/WHHIJmdf5PxyflrQ9G/PqkdECJrxT27cNUbGMMQ0XHSSIRlftReZtoVK5fEwJ1/yBy0W9c0ddtDSmvlzFjZO3ozXzcOHlW0aiuTbNVyTa/7YFQiJkt98Ovf03pW29R87OfMW3peZx8sqijnHDCSzQcdxwOYBXw6PwnACf//d+QuOgqKiIvsnixTINQCJyRHryXXEID0il9RuwZpk6dChzKrl0Jbr8duPlmUoB1zjnMrkvx+NbpsGQJM/a+yLnnHsO6dYismGVRsvZRjjsOzVxcuxaoqaEivoUFC9Tft94K3d2cHdjCsccKebjXXSVzUH3IExGWcZ9vGphmLu1lWXr/0fBnOo2js4Px41WRuZIs1LCkihZLvNkR0KPUuuUUnmzxcy3eHY9DSws7dkAqNE033wwGZc0NDYlikG55ZieuVcRnpwH27pXf2Ls37/wtSxxHhfnaOb7ubuT8k0mCQZkv8Ti51EBaJBaHrIL95vr/8ZG/CA+cqfv41iaf9nj7WFAGL5ultHQSiQTyANvbcZDVdF0nuUJPmw1oL/JIBDKhKjn/7q68FtBodfO+qGNETZuNBgzEHbnKdCV7XlWZ1QoFCf8UMS7V1Yw29kleS0384uIcVJpMIgaioQHq6jAMmFaZoYIeqvwDegNPhKZDTQ1ZX6lQoU0TZ3cHJ9WmtNyQ08iS9ZbwYqyKrvpLZRHcfDMP3ip99Vatgv4TzpMf3ryZYFCkiViwANxuqsweFiwQD9LrleR5hzmd1CVXiSVct47Ze55h4ULZ2HqqzxbcqrNTN3jt7ESu5bDD5EbE41oabdKkHBM6HFZdGmbNEg937VPMmyfH7dqlehVOmqQLwVzxPmbWZqirE6OjG2XW1Mh/DYMy+pg3L8eB6Qi7pIOGzbS0MRqA7m4mFIuGpkotMnq0nN+YMappsN2VNhaDaFQz1/4dZQkHe/3TkFXsUVpaCtksY8eahMOKVap0TZWYjlZUKXMntE1v63aJqx6NUuFPyQOKxZgWShGLwROtFRL2NzZydvoPXH65fO39jdPoOPcm7Mk1fe0PueEG2SjfeksMQ/+wai91/vnSTicep/3JJ9l4+yZ11o9AYyOVgBeUUKqDI44Az6qHYOlS5lT3YZqwbBmcd0MFGxc9gvuSS9gCrJ83j7ZrHwGOA/6b2257iv+KnI37iCPoBrj7bqZOVT/10ktcdplc83eWukShIZ3GsfYpPN1bdJnhps4SMtXT8fuVsLYt16PyVgMDeflRm/EUiVARkC4bfVFHrgxB0f5tA5gNTZFrTCY5+mglUK7YHnv2yPxKJB25aMr2yNQcNoy8PKBh5HJj9sKKRJhQnJHfDgTANLW9HDUqr2jdbm2gIEfb7nnMjJ1iJBaDrK9Uf7eTjK7DdMQHGD1alf+4S/+B6akNqlos+0Yimv93Dd7BYMuDRWz/zPg00WCJ18vQkKIA2dlR1XpDTzi7NkF5SYGAeCLRaK4jkAa5DQOXkdE2LhpVm5+auCXeLGPGqA7Z+QZPHWxrPba3C5mCWAzefx8iERJmKb1pEYwu82ep8KcoD2Tp3+GgK11OX9KDK94nNU9vvw1uN+3t0mYsHkd61nV24IgPyEYeDEofOHOAMn+WvqiDP/5R0m1TAimp5n3hBQaMUl57LcGOHUMUFyNfFgjQ2amEXZ97TrCaZFKXVmzYIKdgmuDq3CJ5DKUWvG6dGM+mJmSVRKPMmgVnnaU6PliW5I4WLyZVfTwOK0NZsosZRwwQCulAXCIpux2Fz4czOaBr6dNpSOwdrZmrdpv4/M4GWRy5hZvHCLPRFx3Q2ZuGPRfyIj1bEMY2YqYp0mL6d+xV7HbraZR/Dv+q8T8lruSPTCYDw8OMViKZloW+ZrdbyRnajJ54HI9Ht1CToRJNGVT/x3icbdvy1siOHTo6tJHhqpDqKOHzQV0dra3y+plnCvQcDkOHNYWOWCmhEKRuu41uYGN6pv2jcPfddIBUpAaDwBb6+8ndaMvSPqthqOtobycO+IG+uZcC64CxTJ16Nt+obyO7dSuVwSBdC28RtuS6dfD444j87ja5N1u3ymT0+8lUT6e7W35+ZuUAzmivbo1kRzAkk5qMEggIZItpSpRrmlp9yDTROrr2/mDPL0dsu24H8uGH6haoes+dO+XaPMk+iMdJIJJfujRAReB796qWV4bBmDF5BsYhTnjWcOZKsZSRTibRknimSY7FYhhkDFcOple6n/8wx/MVPLRVk3/aSiy2jdYO4ccwvIyDvvP/8nGwfBz8c10QPukzBzo+m80ykEgwZmwBHkXQ5Nhjwe3W8EAi6cBjWDkP3+/Pl9Sk3JuA7rhMencJTvX79oPz+1Vhuprl/TvkPIqKGPl03W6y3hLaW+WnjjlG5Uu2boXycvrcU7DiaNi0N+IgFhMFhDJzgAlWFMJxmVAnnkhHxEOkURO45Dxbw1raR6JXyHhLiUYhHROvc98++N6VA1BTRzYcxvHhh4wblwB2smrVYTgXfQlMk755V9D0MJw3MyoV6/Pm8UT3NFaskMVcXS0JdM/D90jpgWlCczPT5pbx5pu7+Otfi5l99xliFV9+mVmzZH399rdAcyu2RLtL3ehsaArr1klqMZ2W9N2EPz8kG9HcuaRqZtLcrKs2qKyEjo1RWNcjL1RX0xHx8Oabco11dQoKbm2V+19bS6+7isZVOZLFtOpsjskK2jvFNCEYpC8m9Gx7I92zR4zwmDEO0dO0GWlqB7BbA/1vuyUcaOQTVA40Po0DOTQ0BIWFFBSMIhhUkk81NVBXhy+mCqsjMaipIeMvZ29nO6AIKetaIRikN+rE6wWn203KW8a+fRLEs2oVjB9PX/2XePq3si7q65H876pVUFdHV3AOG5bL3Hn3XXmGM44YIGWWyKZ45dVEgPlnnUXBKb8EYNSop4n/QOCuMhTrlwBHHjkkX7BuHXfcLbqRF14oUcr0yFNEXnuNCqBq2TJKawB2ARdw333AsmVkAcftt9PYCFcsTMCMX8PNN3PaaQBjueeyDljyF7jvPga8FZSQobJSyeVFo2RCVay5W8mUrVwpYgV1s+lfC1VVMMU3IGQXGzFQBqDMnQDDYO9eZUTsJLGV15lFTbpYXpRoM4DHj5ffx+3WU1VHmMEg8bDMV5eVIGN5tNIK0ajcnOpqkkllNFVzzFhMpXzIU52y57bXq+2SZYHh9hCP5vY+R3wgJ1RgH+R2M5B26fSNfU1p5fcXFjIyyEijhcpz8/n/Q+N/Y+zyo8dMJgMFBezePSgTQ+UesogW4ujReR0NlIeUMYUBaEvCae/U5xO1iWSSRNqp0xN2V1974u7dq7wac79zNU29Efp8auIahmbDmaacT8ZykEg6NLvJ6yUX/quTSiCsqWAwr9ODbVxVgs0wBHJUa0OXDxx+OLrHnOP88+kvLKO42MP48YdJ6yCAUIhoVE3CbFa3MbB/0y4Z8LizOSmk+fPZ/EEZkybBt79dzGzvFjnfr3+dR9aV8dpraYJBmDG+R4xYe7tmiW2KVrBqlaxJG709qSYhxsrng3nzWLNG1/YzxTeAY8N6SdYpY9cbl+e2d6/sMRXu7bnQRCU6OzsFolUfyXWhNzxkTOUR2feZHIxjQ3u7d+ckxvRxNuyTRyL4V4tHf5yz+GmgTHtEesPgcBCP79KMU7xeaVuFuq5t2yCZpLMTEgnJqZab2+Wm1dSIGouZIVtZpTc9txutRNTcLFClruN/5x3NKrQfud25ylYOchkZ3QYjCIJN0guIzJfXNDkeMXjl6S7mzj0Sjwf6Asfz+JNOrUPZ36/W4w9+wItAAhj48lXs2PFfQDNgMrt6O8lf/pIOgH37aGmBjohH6kzPPZe9e+H88z1KzkduytCQiCSvWaOcmeZmnJEeWwJWFsW8eXR2ynwpLiYXcSklm5S3THRdo1Eyhkv3CrRFLZSkZk7OJy2d2HujTigsxNHdZafydDG41ysNiUFeSxkeDEMZmVhM57u1AQNd46sxVVXesHu3rB3DyGsyrea1y5DfiMUkiFc2LbcO8i2iumd2atvny80z+zVbns9eO4YBBdmRmOb/ZwzePwNrHgzKsV/LZDIH/axhiMNTWKjCfwVMO62UrpOJxdBQJYYhRaHpNB5DJMu0bqINXarCT8vKuw63WyS+DIMSBphenWHSJJnnXe7pun6vJLyFCWMSI+o3TVPw+IRZKlJelZUCNXVvoTzexpSQbHadnbAlWiaWwjCgtRVHtA+PmaHcl6IEkSXq74eXX4YOc7oc29nJhMfu4YYb5GMrVyL0S8OgpkbBmRMnSr6tvZ059SlqanL1RY//0SFMmEAAfvlLZrT8gtNPF3v2SOt0+NrXYGiISxdl+OY3TTEywaAkPmbN0gyYurpcN3SV7pTi9IYG7P4zs2ZJpDFunJJrqq+Xc3O7IRKh3JuwSwel1MRbmmt8p+rzjjlGNhkN0yl8WSjTaOKFHaaZZq5eyob87Bx9xnDlMG0V5dnIwD+0Evo3jY8zegcq7xlU0jIlJaVilBWc6UgmAJV3KiqCcFhT6sNhdS8VZGVZaAkqG9ZqbUUIRh98wHk8wdVXC5x97bXQd+UP5eEuX855rbdw1VVy/5qb4cXOUqivJ2s46bNK4corSQHZQw/lsMNuA+BHPwIuuoiTgJqaGvD5+P73oXrMu5St/CmzZsHmzXD99fu4/XaFIJx7LiAgpmtcAUVF3wDeBxZy+ldLcY8axXqg96tfZcECRda6+25oaWHxYkkRcNllsrtv2MCE4oxe1+vWgS1NtHixkmezPU91DxMJdePtvnOtrZgmbH7dSa85BScZamvzSCudnYweDa+8gkxy09SF24EAYokUzV93GlBpmazhlO+IRHBZCaLRXCqhzNhOTY1KDQSDunA1nVZ/q8Xm9crcHj1avkp3NreHgkZtR912APW55B0HaBKZKgHWLbpsh9Cy0DnILA4GB2EfIwvx/s8avP0X5YGkkD4t0+xAOYuPS9x/qEFwNdQDcZBlcFA2p+JiBUmqCs2s6cLnQ2vH5Q+dDM79JxddqZBsz568OaCS1U4y9EadtEVK6Ik4mTA+y5R0G1Nim0RjblwZHeZ0emLiaXtI6B6vxcXgifXgjPZqqCNTPZ0t1jRebHIweTKcUZ9gutFmCwfSf+jxvNhdRlfYKUXReSyKWbOgqukh2Rnmz+ep0HUsXSpfPX8+gimGwzjIyqb3/vvywcsu4477XCPEoS8Y85S0NnjhBfj2t7ml/yq+9S3R8Lt0wjNklAbZlnYnDzwgqvcdnSqv1t0tFnbNGhxkaWmBv/5V8oOxmMoxrlmj9aJsDcwPP1QLLRYTC67YAf17PLz2ml06gNyv994Tj3lwEPx+lFawrsGz2WW6s4NtsVR4YhsvO7W3b59sCl6v6v5s452BABmcI4rU/5XjQLV1n5S/OxCJy+fzQUEBH330kXjZqn4wY3o4/HAFQapoxYbPbIICySTEYkKQcpcBOXh59qwsdHaSuOgqfrL1PNJpeOTmHh65uYey158RxyYc5neVPwTEwCxapOrZYjFaW5XhuOAC0kD7G8O8956UJSRWPMGqX/6STQBFRdxyXwmLFiEPcNEiWyGP3bsLefXOjdx4kQiWnwEsPfFE/rxqmMHBl4Fl/PnPT/PcuQ/B0UdzwyWX0PrnYe6+G/5w7Sa2jx0LsRi//vVOYR/+/vcwcSK9sy5mfaPU6S5aBNddloDGRvqPmcO11yolps5OePddJk2Sa5o8GfD5aDOPZ6BypghVdHcx49iMiEkj81CzMv1+xo+Xen/CYZlkgQA7dqh7rxxqw1DztrMT0P2fR8CDml2eTJIwS3nzTRVxtreLwQsG5TttOrlpsmOHgCVjxoArPSAlN7bykLJQNg1hxw75aGGhQsBsjU5viRhKBYsMDspaCAbRkKYt6bdnD7k9E/ndwqHcHiXz9//o2D+HdyD48ZMYnAc79pMWf3l5OQAFBZDJ5JUPIMr86bSqoVPKuT3xEg1LTDF7KTO2S7PE6mpIpxk/XuSkEpbU0FQEMlK4bBhkA+UMpF2MGSN5OEe0T4fyPRGnrTkrLLe1a7WGYcJbznvv5XQAHckEWbcUlJZ7Ezgb1ysBSlFbeaqphLVr5avr66Es8qoYqe5uqSH0TeOdd3L16Tt2yL1wRbo4u7KL6ZGn5M1f/Yr19T9k5UoxdOvWwfS3H5Nrve8+esIO5vjbJMc4fz6PROZoFably2Hme4+JK3z55bB5Mz2Lf0goBH/9aylta3rgrbdw/ulPdDz2OnffDaeeOorly6Gq/Q/yY4YB8+eTWngp6zc4tMp7fb3qmN7cjC3hnwmJGLGNLpd0vyrG0LKgvp4Oqvj738WQ1dVJqSXxuITwXi8cdhj9ezz2/p5zXlUY7UgmhAyk4CcqK0lZTs1Ksxd7MilfaUM8milhWTiTA7iMDPv2/etzeB9XevNJDM3896LbYzA8zA03XMXgIAJlqk2nqAicYemC0WtUsHKlXOucUA+eeK+OPGxYrSNexo4dMM3bK/PP52PNGhH33rABcWY+9zn4xS+goYF7lrtYulTSwaYJc5JP4Hz+GfD7mR5bL5Pwy19m+xvDHHNMGpgOCN0/izSGJR5n7lx5DuteGM0TzWU68o7FkDkxaRLRBx/Ee8QRdD38IgsXvgFsYfLkQznbeoLk174mCcRFi2htVUbe66X0+9+nt/Y8zj13nLBVP/oILSOD5ujIPfP7mTA+q1nDnHACzJ3Lvn1ymwoGE5oxuXUrmiVsT+Ks4dTQoA0J2igC6bSuazniCOU8VVczkHYRDCpHUPViNE2Vh1U45kBcHGDpwiAKKrZgM6GQeGxNTZQZysGfOpWEWcq+fXnlJ/YeaUOrwEDSSXc3umh8RECgYE9HOiXXo3IeRUVi+LXx9Pk0pDlqFLngQ5Ul2OIHuXn7f3z8b0oNPsmwHSzKc7lE7qagAPbtS+e8lnReh2F7IsbjtLfLc3ZFeyAaJeUWxqSdwLXTZHaC18YYst4SLX7icWdz7EDFHqwIZrVA+cZmBRc0Nkp9Tno78bis1ZYWhGnZvEk2YMPQtXWk00zxbrcZy7z0Ul5jzu5u+aO9ncJCsY9NTXLchPEHIGao1Wt/zO2G6cEB8QIaGuiIlQr2vmqV3JuhIZqa4PXXI3R2KkX9P/9ZuOXV1bQxjc5OQXpmJ5+Si5k/n3vC5zF/vtyz9euyzFnzDbSFvfNOeqrPprFRFv6sWfCN+X1cs1hkw/oqZ5O6/R76z7yUZBIuOLGPi4MvUh5vE6M0bx5MnkyfVapTdTU1MN3XK/m9eBxqa0nUzWHAX8WoUfL+rFn6dtJnlQot3u3O3RdbHgL5TyLttFMqYmy92ZGsThjx78LCfw9LEz5dC6D84/Y/fvPmZigooKbmWFHxSafA79c8CbZuhc5OurtlLnrGDMlkUlEslqURftNUuRhbcHPDBo48ErZu3cmDDwLBINvjcZLPPQfPPcfQEGzd2sGTTybEODU1iTEMh9nimwOLFpH6/e+ZtuaHwG5gC/AiLFtGF8L/4IIL+O1vBW2cWyUC6w888Bzr1q2Wc3jpJQA2Ands3cqUP/4IeI6dO7/J3LlAYyN3A0sHB6G1lR/84DnxJU2T1ttuozzZwZNPvi9C1HfdRfz66+nulql2zDGyHBxLvsP2GTNg9WpWrVJpgPHjwefLdSZIpeC116gyexg1Cp7d4KTLqpB59tprOFpe5Ygj5NgBbwV9RjnptDKeCqYYoCSntfn665SYKTo7pZSGdBpHexs+n+hU2gLUJV7plmCXLRQV5bXitNm3Nrqi5FjsKW+aIoqvUQubnKC+V5Gc8xXBcmUI6gXLUhBrnvSYLVOUNV0jlkw+L+EzBWna42Be6ifBlgeDbT6NV/v73/8eCgoYHoaxY1ViJQ9v0h6WMgh2xxd7h9P8BQUZ7NmTy9E4rVSOtIBsdOm0YtMlEzlozDBIpR2auh0KoSEJKivps0rZu1der6tT5xMI6D5VxOOyCNJpuuKldHfLfJw8Wf30Bx/I+anurRPG58SRu7uhq9uRq4OIxXIdIbdtIxQaIfavwxibw6MFRd94Q+qNEGJIV7xUVmckAq+9pksYw2F0LpN0WqMWPh/y+0pOIrP4Cta3SueJM/xbOKNBBLf7C8tIGR5NlrSsfGm2mESUsRgpbxm9RgVDo90UFooB+9znFCxm01aDQTJuaWZZ4s5QkuzVzQ3sCMyyxMb373DkkodqB7BzdXnIS+4e2WQERCkiYUlHZ9Jpne/5d4xPU2/3cTnwqsojoaCAr33t6hzhQFHiDQOBiJHHpGnrNqylGHv2ppVM5jX+NAwoLOSttwDeFzLGypVsB9xTp8JZZ6mvTjBxoofy6Ks5Zy4eJxqF7IIvEQfiP/gB4OXdd58G/krLBx8Aiqb+3e+yYoWa96+9xuzaBNABPC5zLxolhiizZEBFSsW4xkl7q84HHsjdjFmzGH7ncIHxg0HWgML0Zaqmkf9t2ABDQ+tJpzsk5XvXXTyB/Nbvf/8e3/rWPpngjY06h8xHHwn2bkq945tvCmCB3y9J9NWrdflNa6vY6e5uKDFT8n5nJ+m0vBaNoiu9VZN5+b/ubtxuVb+mkIZUWp69zSC257BpIl9WWEimcpqcRzgM7e243bnuIQAjLKBdZ6pycvklPfG4Mm62Bq5h6IwAhpHLoqhkn4Os3j81qUtNplGjoJDPIGnln62z+7j83KepQyrSdCAYHh7O7VyKGeR2o0sRsKxcM0tFpiixtrNnD1LTFo8zYXx2ZISnGJGOZIIxY0YSljAM7eq7rIRWM9i2DYFKjjxSauSsXsrLc61zUqFpepK5zGwebVlqjWzBZlCT9LjjtBKDTaDw+4VYCWqB2J6dDcF5vRAOMyfUw7x5grDqLgnLllFh9tHUBKm554klX7eOBQtg1CgPW7dKtKet6t//TlnzE9TViQf8aGS2hHp3380t/oe4+Wb45S+HOOqCaQJ9vfACziMPY078DySTsIXprG900tkpAWM4DFWVWaZF1+NZ9RAuK8HKlVLEnP36VbBtG65f/4LylicYtTvO7t3iDzQ2Sj5F9wBsbsb5/DOUGdvpiznZvK2cpiZdYkhJspdyow+/X/amAW+Fom4ijXWtAb3I81GegbQrl42PRjUkk04L29Puuv7/j/FJubw329theJje3vfFXivigO1sM2ECGAb19UpYYPR4uQE2zm8YOK2UtoF9Mafcb8UpX7AAjjhiukRNK1ZQHQzKbn/nnVxwAZhmHckkbEweL2GTIg2dMTeLI7adspNPxjt+PH/9ayGHHy45vCkfDVMCtAADhYX853/CTTdtZ/fcL0JjI+eeez1wnhBPHn4Y39Sp1Kprt772NeA4xjCP558/i0e+PUylem/N5z7H1++dwoUXfp85cx0svfxyWLGCY489lBkzYAqi93j77XD55XP4/OerWLsWzH37uPKIIyAa5c9/Poy//KVQJm1tLevWqYjPriJvbua8hgTnny+XuqnZIUyehgZMU5bQ7LoUp58u93N9k0tqK0IhyrwpGhpUuZHbraFHn49cB/Sk2gsUQmXP056wIEw2FyAeRz64Z4/0ybPp1m63btnjdiuyir252E6daQpJTP2sTdwaGsrr5KAqzAMBcYIylkNHg/n5ALuwHciTa7In6v4BzWdkfJpi2YPBmAcbB4oSAc444wxAIM2urrdHFBePHp1X+KkWnl2bJ7U+QHc3e/cq9roioKTTSoLJ9mzVbmdvejpqtAvV3W5Shodt22TCzJiakp5CkydDfT0JbzkFBTlZLJAEcNZbgq5s3b0bQiEbcSIS0ZUAUoQOslmHQvTv8dDZiY4aa2vlOrThVA0mOessLl5awW9/u48f/xiuG/0LYap99aucd3UZa9eCa9lP2b5tG9TV8bnPwdBQI9/97igujf0UliyB6mr6f/wIX3/+PK68UmrnLr5xIluOPhpiMeasvoL/+I8rgB/y5z9D57hxPBsOi+c9dy4rV4oq2Z13KvIDG6nqfEIK3aNRWLCAr9/o4ckn5Tocq/8Ab7wh/3v7bYYP8fLww4Ku2vkTZ/OLYsF37IBjj6UjVkpnpzjdXi9Mr0zhbJUIoytZRkuL3JqSZC86fFYPwmml8mvaMQzlhcdiORFTJeHkIYHLzOZky/5F49OkAT4uz53//mGHHQYFBYwdO1Z6pinWiS4hUK0xJkwg12ZGeegDKIcoHteQls+nyDs7d8LnP89998kmd/fdyPwYNUpyvIsW8Ze/yDO69lo1J30+3eHgd6sc0N7O6hdegFmzOOWULwJQXPw0jxxSwAAwDyjZvZsf/3gLxx5byti/PgXAk0/uBEJcey3yA1v/f+2de2ydZRnAf097KO12tp2GAisW2LgkAzpoWDGRAG4RcQRMUPESZHExRjEzknCJCUq8EIlIov6xyAIaSJQFohgkRECiEjrDosZNnFoZmkIbu0JhZTvbejnr6x/v5bv0ftqe8532+SXL6b7znu97vvd7n++9PJf3IH8BzgP++28DfNPV5GN8v+sDvIbdJ++mgQF27boLuJnfdjXxm0ce4ZadV7Jv33f49MdGrYfntm3s2BFt/bd9O8Eb9eF193PrrXBd57uwYwfU17N3r1vB6e+3g4etW3m1x9rjN22CK9vetKOzjg6ef9428dHcCopFuyhx3VXH7ajvggv41fMrbDvq6YGDB4PjVKFAMGYHG71bZ/aDkfParF3v5f2rOXDAxVF6b63GRitDby9s2MCePVaOtjZnyom3bZdFqK5ol6HdZDt4a67OO7+I9eujcAdnj2xsdCsuTtb/FVeHcMEzm0ejkKDhuknDeJZMhzeZAvvjnrnMBCeb+XnqJ+w5kQujimAj9SONmN3m1FOJfNGJGWdzucg+40cu7un6l0Die3fO4eGJqXM4ehQOHbLxckeinYdWNNrRbt3gW1GafvdiXbUqyigU7t17Sbg38jvv2Abc32/LNBx6M1qv8LO7mOcVjFvZ/A9PP53XXyd4co27SrGu9qfYa69da2XK5Tiz6UgY0A4N2e/yrtKseWclUGddqHFLUy72y48Zgvu1l7GpKewjMjIS+Z7Esz9QKHDcmRzWrIkZ3f0Dc+6V3nMS3Mw8NqqMm+AolSIDnP/CPT+fUzM4FfjAxrh/drHIaMm6WIfM8wvAbHVhsnLpY+c6J65zznlfdDC+2uHa8rFj9p5Dhg6XiSVun7GJDUZD/B2dnQwO2olDezvRulfsO7/I4K8bPEHAbisEzmOpEIq4+QbduG2Y+CP79rnNjvfuZdu204CLbefQ2QkXXshZwDr8ZOUad4ZReOABbvRn37UL+DxwMVxxBZ3YcSishu7uUHMbN4atAK0auT27Dh929/n00xSHh2H9enp63Hu8qSnopU/0ExJRFAo2wfyQ8/YtvhvM/aGxrlwZdQKlEhw7loiF8ytAuZwdyIUlZ3c9n/auVLIrPYWC+43Plj8yEnZOgFjuUwj2tnHqolhCt1x58mT0s1LJ2QpjM7g6xsMSeX09iVyz8WxFgaGhcF9LLpemZzJnk/Rx///ZKPtUTi9pLrro4sT/fX/07pC7Rl9f0hYF0Nsb8sF521To0Pwwxj3wxAwvzvAw+bxtAIODbkmsqcl2ML29rMjZDWr7+911nPs3YDXWvyEGB8O2cMWinai99nqdDUzzxoADB3xYDwMDbvuRnp6Q/f7Nvjr74/374ZVXXCczYGOLfJLPgwfp6HAj1ZYWmiDsVgzN9v79bNEZ+3wYUnc34BL90tXFtdfa30Afzz5rX17jYOMEu/8ZQt7ChNi/EX1uNxd/50w9dph91VW2EgYGWDk2REeHLZpICO1xsT/evX5kxHqc+SVi//hCh0fs3lxntjo/nghNSI5qiDpHF8Ppl7YXktk4ak3W5tPftba2hhleQnacXcV1bn6AFsaLOZsnsa40Cvl85AMVG/D5TjGYN71BvKXFvoBJBvKHwacLSKZYZBDcg7YV+PbbYxx3IuSJTN9nn32GPX8u57LZ/dWec98+6O5mFGvDSwyC2G8dabCdp3UlPQm87FLFuLAA2mxsortvHyjvczr4vKnx4Ok8QFtb5Hji1/NyuaDXR4+6ex4ZCbkK/IDCm44Bu77ubKl9fUQK75wATpwgDCZyuVj6Pdcmg9NUsRgGesWiq4z6+qghx5KB+2TQvj0kVqrcA/W2fu9p6UOPQzvK5UJrGxsj2m/P3WjCz8vfvJMlZnkKLJkOD5IhCnN1uZ6N0X6yjnIsNW+OLx+nR/1hNjZhWjYJ7reJ83km9H4p3DRTZJoyqXOkJ60zXm8qGaKbnFAkfi/iDtgy9cnOwTXcRDX572Lnh7FweBxiG3RNIaI/4LwCE3bRFNPWx1TM9FwmuU7iJ3Op50VgJh2YivFxp1d1c3ydpOpjultNfOdSmc3l3EmihjUeO1YqYWPK0sdiZct5Yfo2PtUNpkUNA6D0l+MzPx/f90TXTXLy5OyaVFr3Ut79s2La61SoXaeb5HStoiaZq9flVO7Yc3WEUSYy7Tsn49eYzZgkyxhj08nZEfBs23J5bX5kDBBhdNT93s9U/YzUOSx4+1w41hglPvYj9fB7n9omn2ft2ijkjM7O4Bzh4x8vuSRaDqNQsKsKbW2seRs4vY3Lwa1tXw88ycaNjbz/7zZpdCcwnAO4hssuw2bZaW6mvR26ui638ra2wubNXPnii6zDz7Svxu6+vAnyOTqAFVj5ZM9GjDkMF7zHGevWORv+FdAySgdAezstvoqG7dK5j8l1fiP2xrZsgcZGzj/fLR82rLLLh/l80lHDpbjz3sdAyCWZz9t20OA8jPP+ceTzIVtQoeCy+KxqCc/OZ1upc+aKMZcZqMFdO2xVVSgQ8h76rBb5fGJBw089fR/X4BtBPp9Y6fcrGKUSNHiX5MbGxMrG2BhR1qJ8HoaidGSjpbro3I2NlIoT9ViMMWQdEXnK/flGVQWZnHPJplygspVLpmUzxnxipkIisgf4UwXkKYdM1y8q21zJqlyQ0pea6PAAROQHxpg7qi1HmqzKBSpbuWRZttmS5XtQ2cojq7JlVa7JqKV1uxeqLcAUZFUuUNnKJcuyzZYs34PKVh5ZlS2rck2gZmZ4iqIoijIfammGpyiKoihlox2eoiiKsizIfFiCiKwEfoyN+XzJGPN4leTYDNwH/AN4AtgErAdOAW4DWoEHsUE+jxpj/lABmc4Dvg6sMcbcLCK3AFuAU4Evu2KJukuXMcYcq5Bsz2E9uYrGmLtE5CxS9SUidxKrU7NI6+0ichNwAzat4U+BjczwLCsl23zJir44WTaTIZ1RfSlbtptYKvpijMn0P2Ab8FH395NVlOODwHPAY9gcsI+741/BBuXci20IdcDuCsv2S/f5C/d5o6u3CXWXLlNB2Z4CHgbudv9P1BfQkK7TCsjWDDw607OshmzzuKdM6Iu7fiZ1RvWlbNlqXl9qYUmzDXDpRVN7PVSWLmPM9cDXgIcAtwUqb2BlbAN6jTHlpatYGPwoKiGTO3ZyijKV4pPGmC8CrSJyKRPr6zQm1uli8w3gJ5NcNwuylUtW9AWyrzOqL3Oj5vWlFjq8PqIKq5q8sYd5GHgP8DkjzsHK2Ae0iUgW6jQhkzuWlsuXqQix+nsLm8IwXV/vMLFOFwWxPICdffx5kutWTbYFIBP6AjWlM6ov07CU9CXzYQnOJrETm6hoj6meDe/jwEewSdEfAi7HZhjw6/+twPewmyj/3Bjz+wrIdBrwXeDD2JHXG9glhiZghyuWqDtnkwhlzOLZJNKybQCOY+3GX8LmfE7Ul4jcQaxOzSI1ThH5KvA5rPLux2aFmvZZVkq2+ZIVfXGyZEpnVF/Klm3J6EvmOzxFURRFWQiqvZSgKIqiKBVBOzxFURRlWaAdnqIoirIs0A5PURRFWRZoh6fMCRFprrYMilIrqL5kC+3wljAi0iQiu0TkGRHpcn/fLiJXz+O0P0xdY7uI7BaR1bOQZ4OIvCQi7fO4vqIsCqovS5/M59JUyscYcwK4zeU0bDfG7BSR7cAa97kFOAH0Y3PetQOfwsbV3AkI8B9jzI8ARGQrsEFE7jbGPBi71G5jzBF3zkFjzLMi8gTwDLAZOArcY4zpFpGXFvOeFaVcVF+WPtrhLW9eMMbsFpHfGWM+JCL3AJcAn8Eq9glsjjzPIDawdOcsz38+8Crwa2PMyEIKrihVQPWlxtEOb3lzxH36vHej2MwIdcDPjDGvpspfCvxthnOe4j5XGmPuE5HLgAdF5F5jzMGFEFpRqoTqS42jHZ4yGTuB+0WkHzhqjPm2Oz4IfEFEBo0x/5rit58VkWuAZhG5HZubcBybX09RliKqLzWCphZT5kXKDhH+nqb8t7BboByojISKkh1UX6qLzvCU+XIIuEFEXjbGPDZdQRHZAKwDFiUBr6LUAKovVURneIqiKMqyQOPwFEVRlGWBdniKoijKskA7PEVRFGVZoB2eoiiKsizQDk9RFEVZFvwfjrZs8Hmu1z8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 450x600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create figure and axes\n",
    "fig, axes = plt.subplots(ncols=2, sharey=True, figsize=(9, 12))\n",
    "\n",
    "# Plot WF1 as an image\n",
    "ax = axes[0]\n",
    "paint_channel(ax, curves20B['WF1'], curves20B[frame20B.index], wf_t*1e6, **wf_pltargs)\n",
    "ax.plot(curves20B['TT1'], curves20B[frame20B.index], color='k', alpha=0.75, linewidth=2)\n",
    "ax.set_ylabel('Depth $z$ [m]')\n",
    "ax.set_title(f'{wf1.name} with {tt1.long_name}')\n",
    "\n",
    "# Plot WF2 as an image\n",
    "ax = axes[1]\n",
    "paint_channel(ax, curves20B['WF2'], curves20B[frame20B.index], wf_t*1e6, **wf_pltargs)\n",
    "ax.plot(curves20B['TT2'], curves20B[frame20B.index], color='k', alpha=0.75, linewidth=2)\n",
    "ax.set_title(f'{wf2.name} with {tt2.long_name}')\n",
    "\n",
    "for ax in axes:\n",
    "    ax.set_xlabel('Time $t$ [µs]')\n",
    "    ax.grid(True)\n",
    "\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A waveform sampling rate of 100&nbsp;kHz thus gives us an excellent correspondence between the travel time channels and the first arrivals in the waveforms. We have also validated our assumption that the receivers start recording at $t=0$, i.e. the pulse emission time.\n",
    "\n",
    "We can also compare individual waveforms from `WF1` and `WF2` at the same depth:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 450x200 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Choose the depth index at which to plot the waveforms\n",
    "i_wf = 12300\n",
    "\n",
    "# Determine where to put the arrival times\n",
    "tt2_t = curves20B['TT2'][i_wf]\n",
    "tt2_y = np.interp(tt2_t, wf_t*1e6, curves20B['WF2'][i_wf, :])\n",
    "tt1_t = curves20B['TT1'][i_wf]\n",
    "tt1_y = np.interp(tt1_t, wf_t*1e6, curves20B['WF1'][i_wf, :])\n",
    "\n",
    "shift = 1e4   # Vertical shift for both waveforms\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(9, 4))\n",
    "\n",
    "[wf2_line] = ax.plot(wf_t*1e6, curves20B['WF2'][i_wf, :]+1e4, label='WF2')\n",
    "ax.plot(tt2_t, tt2_y+shift, 'o', color=wf2_line.get_color(), alpha=0.5, label='WF2 arrival')\n",
    "\n",
    "[wf1_line] = ax.plot(wf_t*1e6, curves20B['WF1'][i_wf, :]-1e4, label='WF1')\n",
    "ax.plot(tt1_t, tt1_y-shift, 'o', color=wf1_line.get_color(), alpha=0.5, label='WF1 arrival')\n",
    "\n",
    "ax.set_xlabel('Time $t$ [µs]')\n",
    "ax.set_ylabel('Waveform value [arbitrary units]')\n",
    "ax.set_title(f'Waveforms at depth {curves20B[frame20B.index][i_wf]:.2f} m')\n",
    "ax.legend()\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As mentioned, the waveform channels are stored without units, and there seems to be no parameter or channel available to convert the waveform values to any physical unit such as Pa or mV. While the `WF1N` (\"Waveform 1 Normalization Factor\") and `WF2N` (\"Waveform 2 Normalization Factor\") channels seem like promising candidates for this, they contain nothing but the value 1 at every depth.\n",
    "\n",
    "We can also investigate the frequency content of these signals by performing the one-sided discrete Fourier transform and finding the spectral magnitude:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 450x200 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a von Hann time window\n",
    "n_samp = wf1.dimension[0]\n",
    "hann_window = np.hanning(n_samp)\n",
    "\n",
    "# Determine the spectral magnitude of the windowed signals\n",
    "wf1_rfft = np.fft.rfft(hann_window*curves20B['WF1'][i_wf, :])\n",
    "wf1_specmag = 20*np.log10(np.abs(wf1_rfft))\n",
    "wf2_rfft = np.fft.rfft(hann_window*curves20B['WF2'][i_wf, :])\n",
    "wf2_specmag = 20*np.log10(np.abs(wf2_rfft))\n",
    "wf_f = np.fft.rfftfreq(n_samp, 10e-6)\n",
    "\n",
    "wf_specmag_max = max(np.max(wf1_specmag), np.max(wf2_specmag))\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(9, 4))\n",
    "ax.plot(wf_f/1e3, wf2_specmag, label='WF2')\n",
    "ax.plot(wf_f/1e3, wf1_specmag, label='WF1')\n",
    "ax.set_ylim(wf_specmag_max - 78, wf_specmag_max + 2)\n",
    "ax.set_xlim(0, 50)\n",
    "ax.set_xlabel('Frequency $f$ [kHz]')\n",
    "ax.set_ylabel('Spectral magnitude [dB]')\n",
    "ax.set_title(f'Waveform spectral magnitude at depth {curves20B[frame20B.index][i_wf]:.2f} m')\n",
    "ax.legend()\n",
    "ax.grid(True)\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Based on these spectra, it seems that the recorded waveforms have most of their frequency content at roughly 6–22&nbsp;kHz. The emitted pulses may have more content at higher frequencies, as the waves will typically be more attenuated at higher frequencies on their way from the transmitter to the receivers. \n",
    "\n",
    "**Waveform summary:** `WF1` and `WF2` store acoustic waveforms recorded by the receivers at 5&nbsp;ft and 3&nbsp;ft, respectively. These waveforms are stored at sampling rates of 100&nbsp;kHz. There seems to be no straightforward way to convert the waveforms to any physical unit. `TT1` and `TT2` represent the arrival times of the first-arriving waveform components in `WF1` and `WF2`, respectively.\n",
    "\n",
    "\n",
    "## Investigating the VDL channel\n",
    "\n",
    "From the literature (e.g. the [Well Cementing](https://www.slb.com/resource-library/book/well-cementing) book), we know that a waveform display against depth, as plotted above, is often called a variable density log, or VDL. In fact, there is also a `VDL` channel in the files. This `VDL` channel has twice as many samples in time as the `WF1` and `WF2` channels. While the `VDL` channel is in the same frame as the `WF1` and `WF2` channels in this file, this is not true for every acoustic log file in Volve Data Village dataset. In other words, it may be sampled differently in both time and depth.\n",
    "\n",
    "Let's investigate further, first by simply plotting the `VDL` channel as an image."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 250x600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "vdl = get_channel(frame20B, 'VDL')\n",
    "\n",
    "# Determine the maximum absolute value of VDL so that we can balance the colormap around 0\n",
    "vdl_max = np.max(np.abs(curves20B['VDL']))\n",
    "vdl_lim = 1 * vdl_max\n",
    "\n",
    "# Parameters for matplotlib.imshow\n",
    "vdl_pltargs = {\n",
    "    'cmap': 'seismic',\n",
    "    'vmin': -vdl_lim,\n",
    "    'vmax': vdl_lim,\n",
    "}\n",
    "\n",
    "vdl_samples = np.arange(vdl.dimension[0])\n",
    "\n",
    "# Plot VDL\n",
    "fig, ax = plt.subplots(figsize=(5,12), constrained_layout=True)\n",
    "im = paint_channel(ax, curves20B['VDL'], curves20B[frame20B.index], vdl_samples, **vdl_pltargs)\n",
    "cbar = fig.colorbar(im, ax=ax, location='top')\n",
    "cbar.set_label(f'{vdl.name}: {vdl.long_name}')\n",
    "ax.set_ylabel('Depth $z$ [m]')\n",
    "ax.set_xlabel('Sample $k$')\n",
    "ax.grid(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the image, the `VDL` channel seems to be very similar to the `WF1` channel from the 5&nbsp;ft receiver, albeit with twice the sampling rate (i.e. half the sampling period) and a different contrast. Let's investigate further by plotting a `VDL` waveform on top of a `WF1` waveform:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 450x200 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate the VDL time axis\n",
    "vdl_Ts = wf_Ts/2\n",
    "vdl_t = vdl_Ts * np.arange(vdl.dimension[0])\n",
    "\n",
    "# Plot WF1 and VDL\n",
    "fig, ax = plt.subplots(figsize=(9, 4))\n",
    "ax.plot(wf_t*1e6, curves20B['WF1'][i_wf, :], label='WF1')\n",
    "ax.plot(vdl_t*1e6, curves20B['VDL'][i_wf, :], label='VDL')\n",
    "ax.set_title(f'Comparing waveforms from the WF1 and VDL channels at depth {curves20B[frame20B.index][i_wf]:.2f} m')\n",
    "ax.set_xlabel('Time $t$ [µs]')\n",
    "ax.set_ylabel('Waveform value [arbitrary units]')\n",
    "ax.legend()\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It looks like `VDL` is simply a scaled version of `WF1`. Let's find a median scaling factor and compare again:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/0k/6fvjhp7x2659gf4_pbq0zkj40000gp/T/ipykernel_37145/4213171325.py:1: RuntimeWarning: invalid value encountered in true_divide\n",
      "  vdl_scaling = np.nanmedian(curves20B['VDL'][:, ::2] / curves20B['WF1'])\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "VDL/WF1 vdl_scaling factor: 4.55906976744186\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 450x200 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "vdl_scaling = np.nanmedian(curves20B['VDL'][:, ::2] / curves20B['WF1'])\n",
    "print('VDL/WF1 vdl_scaling factor:', vdl_scaling)\n",
    "\n",
    "# Plot the comparison\n",
    "fig, ax = plt.subplots(figsize=(9, 4))\n",
    "ax.plot(wf_t*1e6, curves20B['WF1'][i_wf, :], label='WF1')\n",
    "ax.plot(vdl_t*1e6, curves20B['VDL'][i_wf, :], label='VDL')\n",
    "ax.plot(wf_t*1e6, vdl_scaling*curves20B['WF1'][i_wf, :], ':', color='0.4', label='WF1 (scaled)')\n",
    "ax.set_title(f'Comparing waveforms from the WF1 and VDL channels at depth {curves20B[frame20B.index][i_wf]:.2f} m')\n",
    "ax.set_xlabel('Time $t$ [µs]')\n",
    "ax.set_ylabel('Waveform value [arbitrary units]')\n",
    "ax.legend()\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that the scaled `WF1` and `VDL` waveforms overlap, except for the strongest peaks and troughs where `VDL` is clipped and the scaled `WF1` sticks out. Thus, we have confirmed that `VDL` is a scaled version of `WF1`, with twice the sampling rate. When `VDL` is scaled up enough, some of its sample values reach the maximum and minimum value that can be stored using the data type that the `VDL` channel is saved as in the DLIS file. As dlisio uses numpy datatypes equivalent to those used in the original DLIS file, we can simply interrogate the datatype to show this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "VDL value range: [-32767, 32767]\n",
      "Numpy datatype for the VDL channel: int16\n",
      "Range of int16: [-32768, 32767]\n"
     ]
    }
   ],
   "source": [
    "print(f'VDL value range: [{np.min(curves20B[\"VDL\"])}, {np.max(curves20B[\"VDL\"])}]')\n",
    "print('Numpy datatype for the VDL channel:', curves20B['VDL'].dtype)\n",
    "type_info = np.iinfo(curves20B['VDL'].dtype)\n",
    "print(f'Range of {curves20B[\"VDL\"].dtype}: [{type_info.min}, {type_info.max}]')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In other words, this scaling can cause the `VDL` channel data to be clipped, meaning that we are losing information about the strongest peaks and troughs. On the other hand, this clipping means that there is less difference between the strongest values in the `VDL` channel and the rest. This is the reason that the `VDL` looks like it has higher contrast than `WF1` when both are plotted as images.\n",
    "\n",
    "**VDL summary:** `VDL` contains a scaled version of the same waveforms as the `WF1` channel, but at twice the sampling rate (200&nbsp;kHz) and sometimes with a different sampling in depth. It is not clear why these sampling differences exist, but there are two options: Either, the waveforms are originally recorded at a higher sampling rate and `WF1` and `WF2` are downsampled, or `VDL` is upsampled from `WF1`.\n",
    "\n",
    "\n",
    "## Investigating the CBL channel\n",
    "\n",
    "As the literature (e.g. the [Well Cementing](https://www.slb.com/resource-library/book/well-cementing) book) explains, the first-arriving component of the waveforms represents the fastest travel path from source to receiver. Typically, this path is where the emitted pulse travels through the casing fluid to the casing, where it excites a wave travelling along the casing, which in turn emits a wavefront back into the casing fluid that impinges on the receivers.\n",
    "\n",
    "As the casing wave travels, it is attenuated due to energy loss into the casing fluid and the material outside the casing. With solids such as cement outside the casing, this attenuation is strong, which means that the first-arriving component will be much weaker than in cases with liquids such as water or mud outside the casing. Thus, the amplitude of the first-arriving component gives us an idea of the material outside the casing: High amplitudes correspond to fluids, and low amplitudes correspond to solids. (Middling amplitudes may correspond to solids partially covering the outside of the casing.)\n",
    "\n",
    "This amplitude is quantified as the cement bond log (CBL), which is the amplitude $E_1$ in mV of the earliest detectable peak in the waveform signal recorded at the 3&nbsp;ft receiver. In our files, there is a `CBL` channel with units of mV, which we can compare against the `WF2` channel:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 450x600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# The CBL channel is in frame 60B\n",
    "frame60B = f.object('FRAME', '60B')\n",
    "index60B = index_of(frame60B) \n",
    "curves60B = frame60B.curves()\n",
    "\n",
    "# Convert the index to metres if needed\n",
    "if index60B.units == '0.1 in':\n",
    "    curves60B[index60B.name] *= 0.00254\n",
    "\n",
    "# Get CBL channel metadata\n",
    "cbl = get_channel(frame60B, 'CBL')\n",
    "\n",
    "fig, axes = plt.subplots(ncols=2, figsize=(9, 12), sharey=True)\n",
    "\n",
    "# Plot CBL\n",
    "ax = axes[0]\n",
    "ax.plot(curves60B['CBL'], curves60B[frame60B.index], color='k', linewidth=1)\n",
    "ax.set_xlim(0, 60)\n",
    "ax.set_xlabel('CBL [mV]')\n",
    "ax.set_ylabel('Depth $z$ [m]')\n",
    "ax.set_title(f'{cbl.name}: {cbl.long_name}')\n",
    "ax.grid(True)\n",
    "\n",
    "# Plot WF2 around the waveform arrival\n",
    "ax = axes[1]\n",
    "paint_channel(ax, curves20B['WF2'], curves20B[frame20B.index], wf_t*1e6,\n",
    "              vmin=-0.5*wf_max, vmax=0.5*wf_max, cmap='seismic')\n",
    "ax.set_xlabel('Time $t$ [µs]')\n",
    "ax.set_title(f'{wf2.name}: {wf2.long_name}')\n",
    "ax.grid(True)\n",
    "ax.set_xlim(300, 600)\n",
    "ax.axvline(365, linestyle=':', color='k')\n",
    "\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We thus see that the value of the `CBL` channel follows the amplitude of the first-arriving component in the `WF2` channel, roughly where the dotted line is:\n",
    "\n",
    "* Where `WF2` is strong, `CBL` is high.\n",
    "* Where `WF2` is faint, `CBL` is low.\n",
    "\n",
    "The `CBL` channel also shows some sharp spikes around every 12th metre. This is due to the joints between casing sections, and we can see corresponding disturbances in the `WF2` channel.\n",
    "\n",
    "CBL is typically roughly interpreted by thresholding. Very high values (depending on casing size and normalisation, but typically 50–60&nbsp;mV) indicate free pipe, i.e. only fluids on the outside of the casing. CBL values below around 10&nbsp;mV indicate solids fully covering the casing.\n",
    "\n",
    "Because there does not seem to be any parameter that lets us convert the waveforms to units of mV, we cannot find the CBL directly from the waveforms. However, we can find the values of the $E_1$ peak in arbitrary units for every waveform to show that its overall shape matches the CBL curve. To do this, we:\n",
    "\n",
    "* Upsample every `WF2` waveform using a Fourier method (which should be nearly exact, as we have seen that the signal is band-limited). One drawback of Fourier upsampling is that it assumes the signal to be periodic and can cause ringing if it is not, and we therefore enforce periodicity by applying a Tukey window to force the waveform to zero at its beginning and end.\n",
    "* Find the peak sample of each waveform around the expected location of the peak\n",
    "* Estimate the peak amplitude more finely by means of a quadratic fit around the three peak samples.\n",
    "\n",
    "To be able to directly compare the $E_1$ values with the values in the `CBL` channel, we need to find a conversion factor $a$. Here, we simply find $a$ from a linear fit, with no intercept, between $E_1$ and `CBL`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 250x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def waveform_E1(wfs, k_window):\n",
    "    \"\"\"Returns the first peak amplitudes E1 from an array of waveforms, searching only through samples in k_window\"\"\"\n",
    "    n_wf = wfs.shape[0]\n",
    "    wf_E1s = np.zeros(n_wf)\n",
    "    \n",
    "    for i in range(n_wf):\n",
    "        k_max = k_window[0] + np.argmax(wfs[i][k_window])\n",
    "        fit_ks = k_max + np.array([-1,0,1])\n",
    "        fit = np.polyfit(fit_ks, wfs[i, fit_ks], 2)\n",
    "        k_max = - fit[1] / (2 * fit[0])\n",
    "        wf_E1s[i] = np.polyval(fit, k_max)\n",
    "\n",
    "    return wf_E1s\n",
    "\n",
    "# Determine E1 from the upsampled windowed waveforms\n",
    "window = signal.tukey(250, 20/250)\n",
    "upsampled_wfs, upsampled_wfs_t = signal.resample(window*curves20B['WF2'], 2500, wf_t, axis=1)\n",
    "k_window = 365 + np.arange(-20, 21)\n",
    "wf2_E1 = waveform_E1(upsampled_wfs, k_window)\n",
    "\n",
    "# Interpolate waveform peaks to the CBL frame depths\n",
    "wf2_E1 = np.interp(curves60B[frame60B.index], curves20B[frame20B.index][::-1], wf2_E1[::-1])\n",
    "\n",
    "# Find a linear scaling between wf2_El and CBL as an intercept-free linear fit\n",
    "mask = np.logical_and(curves60B['CBL'] > 0, wf2_E1 > 0)   # Omit missing data and invalid data\n",
    "fit = np.linalg.lstsq(wf2_E1[mask][:,np.newaxis], curves60B['CBL'][mask], rcond=None)\n",
    "a = fit[0][0]\n",
    "\n",
    "# Plot comparison\n",
    "fig, ax = plt.subplots(figsize=(5, 12))\n",
    "ax.plot(wf2_E1*a, curves60B[frame60B.index], linewidth=0.5, label='$a E_1$')\n",
    "ax.plot(curves60B['CBL'], curves60B[frame60B.index], 'k', linewidth=0.5, label='Reference CBL')\n",
    "ax.set_xlim(0, 60)\n",
    "ax.set_ylim(np.max(curves60B[frame60B.index]), np.min(curves60B[frame60B.index]))\n",
    "ax.legend()\n",
    "ax.set_xlabel('CBL [mV]')\n",
    "ax.set_ylabel('Depth $z$ [m]');\n",
    "\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ignoring the spikes due to casing joints, we see that the $a E_1$ have the same shape as the reference `CBL` channel, but deviates for particularly large or small CBL values. We can check the match further by looking at how the scaling matches the joint distribution of $E_1$ and `CBL` values, and how the absolute difference $|aE_1 - \\mathrm{CBL}|$ is distributed:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 450x200 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(ncols=2, figsize=(9,4))\n",
    "\n",
    "cmap = copy.copy(mpl.cm.get_cmap('viridis'))\n",
    "cmap.set_bad(cmap.colors[0])\n",
    "\n",
    "# Plot a 2D histogram of E_1 values against the values from the CBL channel, and show the scaling\n",
    "ax = axes[0]\n",
    "plot_max = (max(wf2_E1), max(curves60B['CBL']))\n",
    "hist = ax.hist2d(wf2_E1, curves60B['CBL'], norm=mpl.colors.LogNorm(), cmap=cmap,\n",
    "                 bins=(np.linspace(0, plot_max[0], 100), np.linspace(0, plot_max[1], 100)))\n",
    "ax.plot((0, plot_max[0]), (0, a*plot_max[0]), '--', label='$a E_1$')\n",
    "fig.colorbar(hist[3], ax=ax)\n",
    "ax.set_xlim(0, plot_max[0])\n",
    "ax.set_ylim(0, plot_max[1])\n",
    "ax.set_title('2D histogram against scaling')\n",
    "ax.set_xlabel('$E_1$ from WF2 [arbitrary units]')\n",
    "ax.set_ylabel('CBL [mV]')\n",
    "ax.legend()\n",
    "\n",
    "# Plot a histogram showing the match\n",
    "ax = axes[1]\n",
    "x = np.abs(wf2_E1[mask]*a - curves60B['CBL'][mask])\n",
    "ax.hist(x, bins=np.arange(0,5.25,0.25), label='$a E_1$')\n",
    "ax.axvline(np.mean(x), color='k', label='Mean')\n",
    "ax.legend()\n",
    "ax.set_title('Fit closeness to reference')\n",
    "ax.set_xlabel('Absolute difference to reference [mV]')\n",
    "ax.set_ylabel('Bin frequency')\n",
    "\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The 2D histogram shows a slight S-shape in the relation between $E_1$ and `CBL`, so that a conversion factor is not sufficient to connect the two. This implies that there is some kind of correction applied on the way from the waveform to the `CBL` channel. Among the sonic tool's channels, we find `CMCG` ('CBL Cement Type Compensation Gain'). Let's see what that looks like:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 250x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(5,9))\n",
    "ax.plot(curves60B['CMCG'], curves60B[frame60B.index])\n",
    "ax.set_xlim(0.6, 1.02)\n",
    "ax.set_ylim(np.max(curves60B[frame60B.index]), np.min(curves60B[frame60B.index]))\n",
    "ax.set_ylabel('Depth $z$ [m]')\n",
    "ax.set_xlabel('CMCG')\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's try using the `CMCG` channel to compensate our $E_1$ values before determining a conversion factor $a'$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 250x500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fit = np.linalg.lstsq((curves60B['CMCG']*wf2_E1)[mask][:,np.newaxis], curves60B['CBL'][mask], rcond=None)\n",
    "aprime = fit[0][0]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(5,10))\n",
    "ax.plot(curves60B['CBL'], curves60B['TDEP'], 'k', linewidth=0.5, label='Reference CBL')\n",
    "ax.plot(wf2_E1*a, curves60B['TDEP'], linewidth=0.5, alpha=0.75, label='$a E_1$')\n",
    "ax.plot(curves60B['CMCG']*wf2_E1*aprime, curves60B['TDEP'], linewidth=0.5, alpha=0.75, label=\"$a' (\\mathrm{CMCG} \\cdot E_1)$\")\n",
    "\n",
    "ax.set_ylabel('Depth $z$ [m]')\n",
    "ax.set_xlabel('CBL [mV]')\n",
    "ax.set_xlim(0, 60)\n",
    "ax.set_ylim(np.max(curves60B[frame60B.index]), np.min(curves60B[frame60B.index]))\n",
    "ax.legend()\n",
    "\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This gives us a much better fit. Let's have a closer look through the same kind of histograms as we used earlier:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 450x200 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(ncols=2, figsize=(9,4))\n",
    "\n",
    "# Plot a 2D histogram of corrected E_1 values against the values from the CBL channel, and show the scaling\n",
    "ax = axes[0]\n",
    "plot_max = (max(wf2_E1), max(curves60B['CBL']))\n",
    "hist = ax.hist2d(curves60B['CMCG']*wf2_E1, curves60B['CBL'], norm=mpl.colors.LogNorm(), cmap=cmap,\n",
    "                 bins=(np.linspace(0, plot_max[0], 100), np.linspace(0, plot_max[1], 100)))\n",
    "ax.plot((0, plot_max[0]), (0, aprime*plot_max[0]), '--', color='C1', label=\"$a'(\\mathrm{CMCG} \\cdot E_1)$\")\n",
    "fig.colorbar(hist[3], ax=ax)\n",
    "ax.set_xlim(0, plot_max[0])\n",
    "ax.set_ylim(0, plot_max[1])\n",
    "ax.set_title('2D histogram against scaling')\n",
    "ax.set_xlabel('$\\mathrm{CMCG} \\cdot E_1$ from WF2 [arbitrary units]')\n",
    "ax.set_ylabel('CBL [mV]')\n",
    "ax.legend()\n",
    "\n",
    "# Plot a histogram showing the match\n",
    "ax = axes[1]\n",
    "x = [np.abs(wf2_E1[mask]*a - curves60B['CBL'][mask]),\n",
    "     np.abs((curves60B['CMCG']*wf2_E1*aprime)[mask] - curves60B['CBL'][mask])]\n",
    "ax.hist(x, bins=np.arange(0,4.5,0.25), label=['$a E_1$', \"$a' (\\mathrm{CMCG} \\cdot E_1)$\"])\n",
    "ax.axvline(np.mean(x[0]), color='C0', label='Mean')\n",
    "ax.axvline(np.mean(x[1]), color='C1', label='Mean')\n",
    "ax.legend()\n",
    "ax.set_title('Fit closeness to reference')\n",
    "ax.set_xlabel('Absolute difference to reference [mV]')\n",
    "ax.set_ylabel('Bin frequency')\n",
    "\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**CBL summary:** It is possible to determine CBL values from the first peak amplitudes $E_1$ from the `WF2`waveforms, although there are some issues with this. The main issue is that the waveforms in the `WF2` and `WF1` channels are stored in arbitrary units instead of mV, and the files contain no obvious way to convert the units. Second, a straightforward implementation of this would not match the `CBL` channel in the file that well, as the `CBL` values have undergone some correction, related to the `CMCG` channel, that we at this point do not know how to calculate from scratch."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Attenuation rate and bond index\n",
    "\n",
    "While CBL tells us of the attenuation accumulated by the casing wave as it travels along the casing, we can also estimate this attenuation directly when we have two or more receivers. From the [Well Cementing](https://www.slb.com/resource-library/book/well-cementing) book, we find that attenuation can be estimated from $E_1$ in the near and far receivers as\n",
    "\n",
    "$$\\alpha = \\frac{20}{L_\\mathrm{RR}} \\log_{10}\\left( \\frac{E_{1,\\mathrm{near}}}{E_{1,\\mathrm{far}}} \\right) ,$$ \n",
    "\n",
    "where $L_\\mathrm{RR}$ is the distance between receivers (2 feet in our case). If only one receiver is availabel at a distance $L_\\mathrm{TR}$ from the transducer, the attenuation can still be approximated as\n",
    "\n",
    "$$\\alpha' = \\frac{20}{L_\\mathrm{TR}} \\log_{10}\\left( \\frac{E_{1,\\mathrm{free}}}{E_1} \\right) ,$$ \n",
    "\n",
    "where $E_{1,\\mathrm{free}}$ is the amplitude for free-pipe intervals in the same receiver as $E_1$ is measured. For the near receiver, a reference amplitude is given in the file in the `CBRA` (‘CBL LQC Reference Amplitude in Free Pipe’) parameter.\n",
    "\n",
    "A common way of representing these attenuations is through the *bond index* BI, which scales and shifts the attenuation to lie between 0 and 1 as\n",
    "\n",
    "$$\\mathrm{BI} = \\frac{\\alpha - \\alpha_\\mathrm{free}}{\\alpha_\\mathrm{full} - \\alpha_\\mathrm{free}} ,$$\n",
    "\n",
    "where $\\alpha_\\mathrm{free}$ is the attenuation in free-pipe intervals and $\\alpha_\\mathrm{full}$ is the attenuation in intervals where the casing is fully covered by bonded solids. Thus, $\\mathrm{BI} = 0$ corresponds to no coverage and $\\mathrm{BI} = 1$ corresponds to full coverage. The idea is that $\\mathrm{BI}$ should correspond to the proportion of casing covered by bonded solids.\n",
    "\n",
    "If only one casing is available, we can calculate an approximate bond index as\n",
    "\n",
    "$$\\mathrm{BI}' = \\frac{\\alpha' - \\alpha_\\mathrm{free}}{\\alpha_\\mathrm{full} - \\alpha_\\mathrm{free}} .$$\n",
    "\n",
    "Additionally, we can calculate the alternative *bond percentage index* as\n",
    "\n",
    "$$\\mathrm{BPI} = \\frac{E_{1,\\mathrm{free}} - E_1}{E_{1,\\mathrm{free}} - E_{1,\\mathrm{full}}} ,$$\n",
    "\n",
    "where $E_{1,\\mathrm{full}}$ is the amplitude for full-coverage intervals in the same receiver as $E_1$ is measured. We find this from the parameter `MSA` (‘Minimum Sonic Amplitude’).\n",
    "\n",
    "Before we do this, we must calculate $E_1$ for the far receiver, i.e. from the waveforms in the `WF1` channel. We do this in the same way as from `WF2`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the first peak values E_1 from the WF1 waveforms\n",
    "upsampled_wfs, upsampled_wfs_t = signal.resample(window*curves20B['WF1'], 2500, wf_t, axis=1)\n",
    "k_window = np.arange(465, 489)\n",
    "wf1_E1 = waveform_E1(upsampled_wfs, k_window)\n",
    "\n",
    "# Interpolate waveform peaks to the CBL frame depths\n",
    "wf1_E1 = np.interp(curves60B[frame60B.index], curves20B[frame20B.index][::-1], wf1_E1[::-1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can calculate the attenuations and bond indices, and compare them against each other and the file's channel `BI` (‘Bond Index’) by plotting:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/0k/6fvjhp7x2659gf4_pbq0zkj40000gp/T/ipykernel_37145/2125932976.py:14: RuntimeWarning: invalid value encountered in log10\n",
      "  attenuation = 20/L_RR * np.log10(E1_near/E1_far)\n",
      "/var/folders/0k/6fvjhp7x2659gf4_pbq0zkj40000gp/T/ipykernel_37145/2125932976.py:15: RuntimeWarning: invalid value encountered in log10\n",
      "  attenuation_approx = 20/L_TR * np.log10(E1_free/E1_near)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 450x500 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate corrected E1 values for the near and far receivers\n",
    "E1_near = aprime*curves60B['CMCG']*wf2_E1\n",
    "E1_far = aprime*curves60B['CMCG']*wf1_E1\n",
    "\n",
    "# Calculate near receiver reference values\n",
    "E1_free = f.object('PARAMETER', 'CBRA').values[0]   # Free pipe\n",
    "E1_full = f.object('PARAMETER', 'MSA').values[0]    # Full solid coverage\n",
    "\n",
    "# Calculate distances between transducers\n",
    "L_RR = (5-3)*0.3048   # Near and far receivers\n",
    "L_TR = 3*0.3048       # Transmitter and near receiver\n",
    "\n",
    "# Calculate full attenuation and approximate attenuation based only on the near receiver\n",
    "attenuation = 20/L_RR * np.log10(E1_near/E1_far)\n",
    "attenuation_approx = 20/L_TR * np.log10(E1_free/E1_near)\n",
    "\n",
    "# Calculate reference attenuation values for free pipe and full coverage of solids\n",
    "attenuation_free = 0\n",
    "attenuation_full = 20/L_TR * np.log10(E1_free/E1_full)\n",
    "\n",
    "# Calculate bond index, approximate bond index based on the near receiver, and bond percentage index\n",
    "BI = (attenuation - attenuation_free) / (attenuation_full - attenuation_free)\n",
    "BI_approx = (attenuation_approx - attenuation_free) / (attenuation_full - attenuation_free)\n",
    "BPI = (E1_free - E1_near) / (E1_free - E1_full)\n",
    "\n",
    "fig, axes = plt.subplots(figsize=(9,10), ncols=3, sharey=True)\n",
    "\n",
    "# Plot E1\n",
    "ax = axes[0]\n",
    "ax.plot(E1_near, curves60B[frame60B.index], linewidth=0.5, label='$E_{1,\\mathrm{near}}$')\n",
    "ax.plot(E1_far, curves60B[frame60B.index], linewidth=0.5, label='$E_{1,\\mathrm{far}}$')\n",
    "ax.set_ylabel('Depth $z$ [m]')\n",
    "ax.set_xlabel('First peak amplitudes [mV]')\n",
    "ax.legend(loc='upper left')\n",
    "ax.set_xlim(0, 60)\n",
    "\n",
    "# Plot attenuation\n",
    "ax = axes[1]\n",
    "ax.plot(attenuation, curves60B[frame60B.index], linewidth=0.5, label='$\\\\alpha$')\n",
    "ax.plot(attenuation_approx, curves60B[frame60B.index], linewidth=0.5, label=\"$\\\\alpha'$\")\n",
    "ax.set_xlabel('Attenuation [dB/m]')\n",
    "ax.set_xlim(-1, 26)\n",
    "ax.legend()\n",
    "\n",
    "# Plot bond indices\n",
    "ax = axes[2]\n",
    "ax.plot(curves60B['BI'], curves60B[frame60B.index], 'k', linewidth=1, label='Reference BI')\n",
    "ax.plot(BI, curves60B[frame60B.index], linewidth=0.5, label='BI')\n",
    "ax.plot(BI_approx, curves60B[frame60B.index], linewidth=0.5, label=\"BI'\")\n",
    "ax.plot(BPI, curves60B[frame60B.index], linewidth=0.5, label='BPI')\n",
    "ax.set_xlabel('Bond indices')\n",
    "ax.set_xlim(-0.1, 1.1)\n",
    "ax.legend()\n",
    "\n",
    "# Set the y limits from the bottom to the top of the logged interval\n",
    "ax.set_ylim(max(curves60B[frame60B.index]), min(curves60B[frame60B.index]))\n",
    "\n",
    "for ax in axes:\n",
    "    ax.grid(True)\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The approximate attenuation $\\alpha'$ is higher than the attenuation $\\alpha$ calculated from both receivers. This is reflected in the approximate bond index $\\mathrm{BI}'$ being higher than the bond index $\\mathrm{BI}$ calculated from both receivers. The reference from the `BI` channel matches $\\mathrm{BI}'$ well, with the minor deviations originating from us calculating $\\mathrm{BI'}$ based on our own $E_1$ processing instead of from the `CBL` channel. $\\mathrm{BPI}$ predicts a higher coverage than the other bond metrics.\n",
    "\n",
    "**Attenuation summary:** From the waveforms in the `WF1` and `WF2` channels, we can compute various attenuation and bond metrics that are not provided in the file."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Investigating the ultrasonic tool\n",
    "\n",
    "The ultrasonic tool's name is \"USIT\", which is short for \"Ultrasonic Imaging Tool\". It was first described in [a 1991 article by Hayman et al.](https://www.onepetro.org/conference-paper/SPWLA-1991-KK), and some further details are described in Section 15-4.5 of the aforementioned [Well Cementing](https://www.slb.com/resource-library/book/well-cementing) book.\n",
    "\n",
    "The basic mechanism of the USIT (and similar pulse-echo tools) is that an ultrasonic transducer emits a pulse onto the casing at normal incidence. A small part of the pulse is transmitted into the casing, where it resonates. The reflected pulse is then recorded by the transducer. The recorded pulse consists of the strong first reflection from the fluid-casing interface, known as the first-interface echo (FIE), followed by a decaying resonance. Based on a single pulse, the USIT can estimate the distance from the transducer to the casing, the thickness $d$ of the casing, and the acoustic impedance $Z = \\rho c$ of the material on the far side of the casing, where $\\rho$ and $c$ are the material's density and pressure wave speed, respectively. Furthermore, if the transducer position is known, the transducer-casing distance allows calculating the inner radius $r_\\mathrm{i}$ of the casing, which can be combined with the thickness $d$ to give the outer radius $r_\\mathrm{o} = r_\\mathrm{i} + d$.\n",
    "\n",
    "The USIT head rotates very quickly as the tool moves through the well, so that the transducer can emit its pulses at different azimuthal angles. This means that unlike the sonic tool, which can only sample the well in depth, the USIT can sample the well in both depth and azimuthal angle. The USIT's angular resolution can be set to either 5° (360°/5° = 72 measurements per depth) or 10° (360°/10° = 36 measurements per depth).\n",
    "\n",
    "The processing algorithm giving the casing thickness and the acoustic impedance behind the casing is called *Traitement Très Tôt* (\"very early processing\" in French), or simply T<sup>3</sup>. This algorithm is described in the two sources mentioned above. Although the data in the file would let us recreate this processing, we will not go into that in this notebook.\n",
    "\n",
    "First, let us look at what data the USIT tool gives us:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "----\n",
       "Tool\n",
       "----\n",
       "name   : USIT\n",
       "origin : 57\n",
       "copy   : 0\n",
       "\n",
       "Description    : Ultrasonic Imaging\n",
       "Trademark name : USIT-E\n",
       "Generic name   : USIT-E\n",
       "\n",
       "Channels   : AWAV_RF                  MDR                      U044\n",
       "             U016                     U023                     U036\n",
       "             U008                     AIMN_RF                  RB\n",
       "             U022                     AZEC_EXT                 IDQC\n",
       "             RSAV                     AWAV                     U020\n",
       "             U024                     U051                     IRAV_EXT\n",
       "             T2BK                     IRMN_EXT                 AWMN_RF\n",
       "             U063                     U027                     U009\n",
       "             U014                     U035                     WPKA\n",
       "             AZEC                     U056                     THBK\n",
       "             AI_MICRO_DEBONDING_IMAGE GASR                     IRBK\n",
       "             CZMD                     IRMN                     ERMN\n",
       "             USGI                     U042                     U011\n",
       "             U001                     U055                     U043\n",
       "             UPGA                     U050                     ECCE\n",
       "             ECCEEXT_RF               TTBK                     U066\n",
       "             UCAZ                     AIBK                     CCLU\n",
       "             WFDL                     U064                     ERMN_EXT\n",
       "             AGMI                     AIMX                     CFVL\n",
       "             U006                     U058                     U002\n",
       "             U018                     BPRE                     U045\n",
       "             U046                     U049                     U015\n",
       "             U019                     U040                     U033\n",
       "             USBI                     U068                     WDMN\n",
       "             U038                     ERMX_EXT                 U069\n",
       "             U029                     U025                     U053\n",
       "             U021                     IRAV                     U071\n",
       "             U007                     IRNO                     ERBN_EXT\n",
       "             USGI_RF                  ERMX                     U067\n",
       "             U004                     AGMA                     AIMN\n",
       "             AIMX_RF                  U030                     UDEP\n",
       "             U012                     WDMX                     U013\n",
       "             ECCE_EXT                 U010                     AIAV_RF\n",
       "             UTDL                     U017                     T1BK\n",
       "             U032                     U065                     ERNO\n",
       "             IRMX                     AWMX                     ERBA_EXT\n",
       "             T2AV                     U037                     ECCE_RF\n",
       "             U041                     AIAV                     UTIM\n",
       "             U052                     U026                     THNO\n",
       "             U005                     UGCI_RF                  WAGN\n",
       "             AWMX_RF                  U057                     U054\n",
       "             U072                     IRMX_EXT                 USBI_RF\n",
       "             U028                     ERAV_EXT                 ERAV\n",
       "             U031                     U047                     U034\n",
       "             AWBK                     AWMN                     ERBK_EXT\n",
       "             U039                     U003                     CEMR\n",
       "             U048                     U061                     U062\n",
       "             AZEC_RF                  ERBK                     U060\n",
       "             IRBK_EXT                 U070                     U059\n",
       "             AWBK_RF                  ERAV_RF                  ERMN_RF\n",
       "             ERMX_RF                  GNMN                     GNMX\n",
       "             HRTT                     IRAV_RF                  IRBK_RF\n",
       "             IRMN_RF                  IRMX_RF                  MLOSS\n",
       "             RB_USIT                  THAV                     THAV_RF\n",
       "             THBK_RF                  THMN                     THMN_RF\n",
       "             THMX                     THMX_RF                  TTAV\n",
       "             TTMN                     TTMX                     U-ED1\n",
       "             U-ED10                   U-ED11                   U-ED12\n",
       "             U-ED13                   U-ED14                   U-ED15\n",
       "             U-ED16                   U-ED17                   U-ED18\n",
       "             U-ED19                   U-ED2                    U-ED20\n",
       "             U-ED21                   U-ED22                   U-ED23\n",
       "             U-ED24                   U-ED25                   U-ED26\n",
       "             U-ED27                   U-ED28                   U-ED29\n",
       "             U-ED3                    U-ED30                   U-ED31\n",
       "             U-ED32                   U-ED33                   U-ED34\n",
       "             U-ED35                   U-ED36                   U-ED4\n",
       "             U-ED5                    U-ED6                    U-ED7\n",
       "             U-ED8                    U-ED9                    UFLG\n",
       "             UFRT                     U-ID1                    U-ID10\n",
       "             U-ID11                   U-ID12                   U-ID13\n",
       "             U-ID14                   U-ID15                   U-ID16\n",
       "             U-ID17                   U-ID18                   U-ID19\n",
       "             U-ID2                    U-ID20                   U-ID21\n",
       "             U-ID22                   U-ID23                   U-ID24\n",
       "             U-ID25                   U-ID26                   U-ID27\n",
       "             U-ID28                   U-ID29                   U-ID3\n",
       "             U-ID30                   U-ID31                   U-ID32\n",
       "             U-ID33                   U-ID34                   U-ID35\n",
       "             U-ID36                   U-ID4                    U-ID5\n",
       "             U-ID6                    U-ID7                    U-ID8\n",
       "             U-ID9                    U-USIT_AZECEXT_RF\n",
       "Parameters : C_MPL          RCTH           WLEN           C_DLEN         ENABLED\n",
       "             ENABLED        VCAS           BERJ           ENABLED\n",
       "             MAX_TOOL_SPEED RCOD           C_TPC          RCSO           NPPW\n",
       "             THDL           ENABLED        TCUB           CMTY           NWPD\n",
       "             VRES           C_WIND         ENABLED        ZTGS           ENABLED\n",
       "             UMFR           SDNV           ENABLED        HRES           EMXV\n",
       "             C_NUP          ZTCM           WINE           OPLEV          ZCAS\n",
       "             C_MFILT        THDP           AFVU           THDH           C_BLANK\n",
       "             USFR           WINB           C_ALGO         DOT            ZINI\n",
       "             C_JNO          TVD            AGMN           AGMX           SDTHOR\n",
       "             SDTVER         SUBT           ULOG           UMAO           UPAT\n",
       "             USTO           USUB           U-USIT_DDT5    UWKM\n",
       "Parts      : USRS-C     USI-SENSOR USIS-A     USSC-B     ECH-MFA    USAC-A\n"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "usit = f.object('TOOL', 'USIT')\n",
    "usit.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's look at the USIT parameters:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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></th>\n",
       "      <th>Name</th>\n",
       "      <th>Long name</th>\n",
       "      <th>Value(s)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>AFVU</td>\n",
       "      <td>Automatic Fluid Velocity Update</td>\n",
       "      <td>[Off]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>AGMN</td>\n",
       "      <td>Minimum Gain of Cartridge</td>\n",
       "      <td>[-12]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>AGMX</td>\n",
       "      <td>Maximum Gain of Cartridge</td>\n",
       "      <td>[40]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>BERJ</td>\n",
       "      <td>Bad Echo Rejection</td>\n",
       "      <td>[ON]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>CMTY</td>\n",
       "      <td>Cement Type</td>\n",
       "      <td>[Regular Cement]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>C_ALGO</td>\n",
       "      <td>Collar detection algorithm</td>\n",
       "      <td>[CCLU]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>C_BLANK</td>\n",
       "      <td>Ignore on each side of each collar, inches</td>\n",
       "      <td>[12]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>C_DLEN</td>\n",
       "      <td>Collar detection length, inches</td>\n",
       "      <td>[24]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>C_JNO</td>\n",
       "      <td>Joint number offset</td>\n",
       "      <td>[0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>C_MFILT</td>\n",
       "      <td>Apply 3-point median filter to statistics?</td>\n",
       "      <td>[No]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>C_MPL</td>\n",
       "      <td>Minimum pipe length, inches</td>\n",
       "      <td>[24]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>C_NUP</td>\n",
       "      <td>Number joints from bottom?</td>\n",
       "      <td>[Yes]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>C_TPC</td>\n",
       "      <td>Collar detection threshold percentage</td>\n",
       "      <td>[50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>C_WIND</td>\n",
       "      <td>Collar detection window length, inches</td>\n",
       "      <td>[600]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>DOT</td>\n",
       "      <td>Diameter of Transducer Sensor</td>\n",
       "      <td>[4.874000072479248]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>EMXV</td>\n",
       "      <td>EMEX Voltage</td>\n",
       "      <td>[90]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[Yes]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[No]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[No]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[No]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[No]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[No]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>ENABLED</td>\n",
       "      <td>Equipment or Computation Acquisition Status</td>\n",
       "      <td>[No]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>HRES</td>\n",
       "      <td>Horizontal Resolution</td>\n",
       "      <td>[5 deg]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>MAX_TOOL_SPEED</td>\n",
       "      <td>Maximum service speed allowed for, or attained...</td>\n",
       "      <td>[2057.39990234375]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>NPPW</td>\n",
       "      <td>Number of Points Per Waveform</td>\n",
       "      <td>[120]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NWPD</td>\n",
       "      <td>Number of Waveforms per Depth</td>\n",
       "      <td>[72]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>OPLEV</td>\n",
       "      <td>USIT Remove Flagged Data Level</td>\n",
       "      <td>[OPT2]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>RCOD</td>\n",
       "      <td>Reference Calibrator Outer Diameter</td>\n",
       "      <td>[7.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>RCSO</td>\n",
       "      <td>Reference Calibrator Standoff</td>\n",
       "      <td>[1.3779499530792236]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RCTH</td>\n",
       "      <td>Reference Calibrator Thickness</td>\n",
       "      <td>[0.295199990272522]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>SDNV</td>\n",
       "      <td>Number of Vertical Samples used for Micro-debo...</td>\n",
       "      <td>[5]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>SDTHOR</td>\n",
       "      <td>Acoustic Impedance STD Horizontal Threshold fo...</td>\n",
       "      <td>[0.5]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>SDTVER</td>\n",
       "      <td>Acoustic Impedance STD Vertical Threshold for ...</td>\n",
       "      <td>[0.30000001192092896]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>SUBT</td>\n",
       "      <td>USIT Sub type</td>\n",
       "      <td>[10INC]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>TCUB</td>\n",
       "      <td>T^3 Processing Level</td>\n",
       "      <td>[VXLP]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>THDH</td>\n",
       "      <td>Maximum Search Thickness (percentage of nominal)</td>\n",
       "      <td>[130.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>THDL</td>\n",
       "      <td>Minimum Search Thickness (percentage of nominal)</td>\n",
       "      <td>[70.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>THDP</td>\n",
       "      <td>Thickness Detection Policy</td>\n",
       "      <td>[Fundamental]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>TVD</td>\n",
       "      <td>True Vertical Depth</td>\n",
       "      <td>[0.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>U-USIT_DDT5</td>\n",
       "      <td>USIC Downhole Decimation for T5 only</td>\n",
       "      <td>[0_NONE]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>ULOG</td>\n",
       "      <td>Logging Objective</td>\n",
       "      <td>[MEASURE]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>UMAO</td>\n",
       "      <td>USIT Measurement Angular Offset</td>\n",
       "      <td>[18.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>UMFR</td>\n",
       "      <td>Modulation Frequency</td>\n",
       "      <td>[333333.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>UPAT</td>\n",
       "      <td>Emission Pattern</td>\n",
       "      <td>[300K]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>USFR</td>\n",
       "      <td>Ultrasonic Sampling Frequency</td>\n",
       "      <td>[500000.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>USTO</td>\n",
       "      <td>USIT Time Offset</td>\n",
       "      <td>[-2.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>USUB</td>\n",
       "      <td>USIT Sub Identifier</td>\n",
       "      <td>[10INC]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>UWKM</td>\n",
       "      <td>Working Mode</td>\n",
       "      <td>[D606005L]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>VCAS</td>\n",
       "      <td>Ultrasonic Transversal Velocity in Casing</td>\n",
       "      <td>[51.400001525878906]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>VRES</td>\n",
       "      <td>Vertical Resolution</td>\n",
       "      <td>[6.0INCH]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>WINB</td>\n",
       "      <td>Window Begin Time</td>\n",
       "      <td>[53.79532241821289]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>WINE</td>\n",
       "      <td>Window End Time</td>\n",
       "      <td>[120.3934326171875]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>WLEN</td>\n",
       "      <td>T^3 Processing Length</td>\n",
       "      <td>[32.32666778564453]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>ZCAS</td>\n",
       "      <td>Acoustic Impedance of Casing</td>\n",
       "      <td>[46.25]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>ZINI</td>\n",
       "      <td>Initial Estimate of Cement Impedance</td>\n",
       "      <td>[-1.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>ZTCM</td>\n",
       "      <td>Acoustic Impedance Threshold for Cement</td>\n",
       "      <td>[2.5999999046325684]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>ZTGS</td>\n",
       "      <td>Acoustic Impedance Threshold for Gas</td>\n",
       "      <td>[0.30000001192092896]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name                                          Long name  \\\n",
       "36            AFVU                    Automatic Fluid Velocity Update   \n",
       "46            AGMN                          Minimum Gain of Cartridge   \n",
       "47            AGMX                          Maximum Gain of Cartridge   \n",
       "7             BERJ                                 Bad Echo Rejection   \n",
       "17            CMTY                                        Cement Type   \n",
       "41          C_ALGO                         Collar detection algorithm   \n",
       "38         C_BLANK         Ignore on each side of each collar, inches   \n",
       "3           C_DLEN                    Collar detection length, inches   \n",
       "44           C_JNO                                Joint number offset   \n",
       "34         C_MFILT         Apply 3-point median filter to statistics?   \n",
       "0            C_MPL                        Minimum pipe length, inches   \n",
       "29           C_NUP                         Number joints from bottom?   \n",
       "11           C_TPC              Collar detection threshold percentage   \n",
       "20          C_WIND             Collar detection window length, inches   \n",
       "42             DOT                      Diameter of Transducer Sensor   \n",
       "28            EMXV                                       EMEX Voltage   \n",
       "8          ENABLED        Equipment or Computation Acquisition Status   \n",
       "21         ENABLED        Equipment or Computation Acquisition Status   \n",
       "5          ENABLED        Equipment or Computation Acquisition Status   \n",
       "23         ENABLED        Equipment or Computation Acquisition Status   \n",
       "4          ENABLED        Equipment or Computation Acquisition Status   \n",
       "15         ENABLED        Equipment or Computation Acquisition Status   \n",
       "26         ENABLED        Equipment or Computation Acquisition Status   \n",
       "27            HRES                              Horizontal Resolution   \n",
       "9   MAX_TOOL_SPEED  Maximum service speed allowed for, or attained...   \n",
       "13            NPPW                      Number of Points Per Waveform   \n",
       "18            NWPD                      Number of Waveforms per Depth   \n",
       "32           OPLEV                     USIT Remove Flagged Data Level   \n",
       "10            RCOD                Reference Calibrator Outer Diameter   \n",
       "12            RCSO                      Reference Calibrator Standoff   \n",
       "1             RCTH                     Reference Calibrator Thickness   \n",
       "25            SDNV  Number of Vertical Samples used for Micro-debo...   \n",
       "48          SDTHOR  Acoustic Impedance STD Horizontal Threshold fo...   \n",
       "49          SDTVER  Acoustic Impedance STD Vertical Threshold for ...   \n",
       "50            SUBT                                      USIT Sub type   \n",
       "16            TCUB                               T^3 Processing Level   \n",
       "37            THDH   Maximum Search Thickness (percentage of nominal)   \n",
       "14            THDL   Minimum Search Thickness (percentage of nominal)   \n",
       "35            THDP                         Thickness Detection Policy   \n",
       "45             TVD                                True Vertical Depth   \n",
       "56     U-USIT_DDT5               USIC Downhole Decimation for T5 only   \n",
       "51            ULOG                                  Logging Objective   \n",
       "52            UMAO                    USIT Measurement Angular Offset   \n",
       "24            UMFR                               Modulation Frequency   \n",
       "53            UPAT                                   Emission Pattern   \n",
       "39            USFR                      Ultrasonic Sampling Frequency   \n",
       "54            USTO                                   USIT Time Offset   \n",
       "55            USUB                                USIT Sub Identifier   \n",
       "57            UWKM                                       Working Mode   \n",
       "6             VCAS          Ultrasonic Transversal Velocity in Casing   \n",
       "19            VRES                                Vertical Resolution   \n",
       "40            WINB                                  Window Begin Time   \n",
       "31            WINE                                    Window End Time   \n",
       "2             WLEN                              T^3 Processing Length   \n",
       "33            ZCAS                       Acoustic Impedance of Casing   \n",
       "43            ZINI               Initial Estimate of Cement Impedance   \n",
       "30            ZTCM            Acoustic Impedance Threshold for Cement   \n",
       "22            ZTGS               Acoustic Impedance Threshold for Gas   \n",
       "\n",
       "                 Value(s)  \n",
       "36                  [Off]  \n",
       "46                  [-12]  \n",
       "47                   [40]  \n",
       "7                    [ON]  \n",
       "17       [Regular Cement]  \n",
       "41                 [CCLU]  \n",
       "38                   [12]  \n",
       "3                    [24]  \n",
       "44                    [0]  \n",
       "34                   [No]  \n",
       "0                    [24]  \n",
       "29                  [Yes]  \n",
       "11                   [50]  \n",
       "20                  [600]  \n",
       "42    [4.874000072479248]  \n",
       "28                   [90]  \n",
       "8                   [Yes]  \n",
       "21                   [No]  \n",
       "5                    [No]  \n",
       "23                   [No]  \n",
       "4                    [No]  \n",
       "15                   [No]  \n",
       "26                   [No]  \n",
       "27                [5 deg]  \n",
       "9      [2057.39990234375]  \n",
       "13                  [120]  \n",
       "18                   [72]  \n",
       "32                 [OPT2]  \n",
       "10                  [7.0]  \n",
       "12   [1.3779499530792236]  \n",
       "1     [0.295199990272522]  \n",
       "25                    [5]  \n",
       "48                  [0.5]  \n",
       "49  [0.30000001192092896]  \n",
       "50                [10INC]  \n",
       "16                 [VXLP]  \n",
       "37                [130.0]  \n",
       "14                 [70.0]  \n",
       "35          [Fundamental]  \n",
       "45                  [0.0]  \n",
       "56               [0_NONE]  \n",
       "51              [MEASURE]  \n",
       "52                 [18.0]  \n",
       "24             [333333.0]  \n",
       "53                 [300K]  \n",
       "39             [500000.0]  \n",
       "54                 [-2.0]  \n",
       "55                [10INC]  \n",
       "57             [D606005L]  \n",
       "6    [51.400001525878906]  \n",
       "19              [6.0INCH]  \n",
       "40    [53.79532241821289]  \n",
       "31    [120.3934326171875]  \n",
       "2     [32.32666778564453]  \n",
       "33                [46.25]  \n",
       "43                 [-1.0]  \n",
       "30   [2.5999999046325684]  \n",
       "22  [0.30000001192092896]  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "usit_param_table = summarize(usit.parameters, name='Name', long_name='Long name', values='Value(s)')\n",
    "usit_param_table.sort_values('Name')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, here are the USIT channels:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "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></th>\n",
       "      <th>Name</th>\n",
       "      <th>Long name</th>\n",
       "      <th>Units</th>\n",
       "      <th>Dimension</th>\n",
       "      <th>Frame</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>AGMA</td>\n",
       "      <td>Maximum Allowed Electronic Gain</td>\n",
       "      <td>dB</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>AGMI</td>\n",
       "      <td>Minimum Allowed Electronic Gain</td>\n",
       "      <td>dB</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>AIAV</td>\n",
       "      <td>Acoustic Impedance Average</td>\n",
       "      <td>Mrayl</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>AIAV_RF</td>\n",
       "      <td>Median of Unflagged Measured Impedance</td>\n",
       "      <td>Mrayl</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>AIBK</td>\n",
       "      <td>Acoustic Impedance</td>\n",
       "      <td>Mrayl</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>AIMN</td>\n",
       "      <td>Acoustic Impedance Minimum</td>\n",
       "      <td>Mrayl</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>AIMN_RF</td>\n",
       "      <td>Minimum of Unflagged Acoustic Impedance</td>\n",
       "      <td>Mrayl</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>AIMX</td>\n",
       "      <td>Acoustic Impedance Maximum</td>\n",
       "      <td>Mrayl</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>AIMX_RF</td>\n",
       "      <td>Maximum of Unflagged Acoustic Impedance</td>\n",
       "      <td>Mrayl</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>AI_MICRO_DEBONDING_IMAGE</td>\n",
       "      <td>Acoustic Impedance With Micro-debonding Image</td>\n",
       "      <td>Mrayl</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>AWAV</td>\n",
       "      <td>Amplitude of Wave Average</td>\n",
       "      <td>dB</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AWAV_RF</td>\n",
       "      <td>Average of Unflagged Wave Amplitude</td>\n",
       "      <td>dB</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>AWBK</td>\n",
       "      <td>Amplitude of Wave</td>\n",
       "      <td>dB</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>AWBK_RF</td>\n",
       "      <td>Unflagged Echo Amplitude minus median amplitude</td>\n",
       "      <td>dB</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>AWMN</td>\n",
       "      <td>Amplitude of Wave Minimum</td>\n",
       "      <td>dB</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>AWMN_RF</td>\n",
       "      <td>Minimum of Unflagged Wave Amplitude</td>\n",
       "      <td>dB</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>AWMX</td>\n",
       "      <td>Amplitude of Wave Maximum</td>\n",
       "      <td>dB</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>AWMX_RF</td>\n",
       "      <td>Maximum of Unflagged Wave Amplitude</td>\n",
       "      <td>dB</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>AZEC</td>\n",
       "      <td>Azimuth of Eccentering</td>\n",
       "      <td>deg</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>AZEC_EXT</td>\n",
       "      <td>Azimuth of External Eccentering</td>\n",
       "      <td>deg</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>AZEC_RF</td>\n",
       "      <td>Azimuth of Eccentering for Unflagged Waves</td>\n",
       "      <td>deg</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>BPRE</td>\n",
       "      <td>Burst Pressure</td>\n",
       "      <td>psi</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>CCLU</td>\n",
       "      <td>Casing Collar Locator Ultrasonic</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>CEMR</td>\n",
       "      <td>Ratio of Cement Measurements to Total</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>CFVL</td>\n",
       "      <td>Memorized Fluid Acoustic Slowness</td>\n",
       "      <td>us/ft</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>CZMD</td>\n",
       "      <td>Acoustic Impedance of Mud</td>\n",
       "      <td>Mrayl</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>ECCE</td>\n",
       "      <td>Amplitude of Eccentering</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>ECCEEXT_RF</td>\n",
       "      <td>Unflagged Data External Eccentering</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>ECCE_EXT</td>\n",
       "      <td>USIT External Eccentering</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>ECCE_RF</td>\n",
       "      <td>Amplitude of Eccentering for Unflagged Waves</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>ERAV</td>\n",
       "      <td>External Radii Average</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>ERAV_EXT</td>\n",
       "      <td>Average External Radius Corrected for External...</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>ERAV_RF</td>\n",
       "      <td>Median of External Radii for Unflagged Waves</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>ERBA_EXT</td>\n",
       "      <td>External Radii Corrected for External Eccenter...</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>ERBK</td>\n",
       "      <td>External Radii</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>ERBK_EXT</td>\n",
       "      <td>External Radii Corrected for External Eccentering</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>ERBN_EXT</td>\n",
       "      <td>External Radii Corrected for External Eccenter...</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>ERMN</td>\n",
       "      <td>External Radii Minimum</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>ERMN_EXT</td>\n",
       "      <td>Minimum External Radius Corrected for External...</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>ERMN_RF</td>\n",
       "      <td>Minimum of Unflagged External Radii</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>ERMX</td>\n",
       "      <td>External Radii Maximum</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>ERMX_EXT</td>\n",
       "      <td>Maximum External Radius Corrected for External...</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>ERMX_RF</td>\n",
       "      <td>Maximum of Unflagged External Radii</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>ERNO</td>\n",
       "      <td>Nominal Casing External Radius</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>GASR</td>\n",
       "      <td>Ratio of Gas Measurements to Total</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>GNMN</td>\n",
       "      <td>Waveform Gain Minimum</td>\n",
       "      <td>dB</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>GNMX</td>\n",
       "      <td>Waveform Gain Maximum</td>\n",
       "      <td>dB</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>HRTT</td>\n",
       "      <td>Histogram of Raw Transit Time Index</td>\n",
       "      <td>us</td>\n",
       "      <td>[180]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>IDQC</td>\n",
       "      <td>Internal Diameter Quality Check</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>IRAV</td>\n",
       "      <td>Internal Radius Averaged Value</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>IRAV_EXT</td>\n",
       "      <td>Average Internal Radius Corrected for External...</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>IRAV_RF</td>\n",
       "      <td>Median Internal Radius of Casing for Unflagged...</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>IRBK</td>\n",
       "      <td>Internal Radii Normalized</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>IRBK_EXT</td>\n",
       "      <td>Internal Radii Corrected for External Eccentering</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>IRBK_RF</td>\n",
       "      <td>Unflagged External Radii of Casing</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>IRMN</td>\n",
       "      <td>Internal Radius Minimum Value</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>IRMN_EXT</td>\n",
       "      <td>Minimum Internal Radius Corrected for External...</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>IRMN_RF</td>\n",
       "      <td>Minimum of Unflagged Internal Radii Corrected ...</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>IRMX</td>\n",
       "      <td>Internal Radius Maximum Value</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>IRMX_EXT</td>\n",
       "      <td>Maximum Internal Radius Corrected for External...</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>IRMX_RF</td>\n",
       "      <td>Maximum of Unflagged Internal Radii Corrected ...</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>IRNO</td>\n",
       "      <td>Nominal Casing Internal Radius</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MDR</td>\n",
       "      <td>Micro-debonding Ratio</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>MLOSS</td>\n",
       "      <td>Metal Loss</td>\n",
       "      <td>%</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>RB</td>\n",
       "      <td>Relative Bearing</td>\n",
       "      <td>deg</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>RB_USIT</td>\n",
       "      <td>USIT RB</td>\n",
       "      <td>deg</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>RSAV</td>\n",
       "      <td>Motor Revolution Speed</td>\n",
       "      <td>c/s</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>T1BK</td>\n",
       "      <td>Internal Radius Metal Loss</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>T2AV</td>\n",
       "      <td>Thickness Average of Casing minus Nominal</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>T2BK</td>\n",
       "      <td>Thickness of Casing minus Nominal</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>THAV</td>\n",
       "      <td>Thickness Average Value</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>THAV_RF</td>\n",
       "      <td>Average of Unflagged Casing Thickness</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>THBK</td>\n",
       "      <td>Casing Thickness Normalized</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>THBK_RF</td>\n",
       "      <td>Image of Unflagged Thickness of Casing</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>THMN</td>\n",
       "      <td>Thickness Minimum Value</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>THMN_RF</td>\n",
       "      <td>Minimum of Unflagged Casing Thickness</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>THMX</td>\n",
       "      <td>Thickness Maximum Value</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>THMX_RF</td>\n",
       "      <td>Maximum of Unflagged Casing Thickness</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>THNO</td>\n",
       "      <td>Nominal Casing Thickness</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>TTAV</td>\n",
       "      <td>Transit time average</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>TTBK</td>\n",
       "      <td>Transit Time</td>\n",
       "      <td>us</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>TTMN</td>\n",
       "      <td>Transit Time Minimum Value</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>TTMX</td>\n",
       "      <td>Transit Time Maximum Value</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>U-ED1</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>U-ED10</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>U-ED11</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>U-ED12</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>U-ED13</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>U-ED14</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>U-ED15</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>U-ED16</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>U-ED17</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>U-ED18</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>U-ED19</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>U-ED2</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>U-ED20</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>U-ED21</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>U-ED22</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>U-ED23</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>U-ED24</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>U-ED25</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>U-ED26</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>U-ED27</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>U-ED28</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>U-ED29</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>U-ED3</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>U-ED30</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>U-ED31</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>U-ED32</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>U-ED33</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>U-ED34</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>U-ED35</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>U-ED36</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>U-ED4</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>U-ED5</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>U-ED6</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>U-ED7</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>U-ED8</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>U-ED9</td>\n",
       "      <td>External Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>U-ID1</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>U-ID10</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>U-ID11</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>U-ID12</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>U-ID13</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>U-ID14</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>U-ID15</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>U-ID16</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>U-ID17</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>U-ID18</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>U-ID19</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>U-ID2</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>U-ID20</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>U-ID21</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>U-ID22</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>U-ID23</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>U-ID24</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>U-ID25</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>U-ID26</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>U-ID27</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>U-ID28</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>U-ID29</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>U-ID3</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>U-ID30</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>U-ID31</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>U-ID32</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>U-ID33</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>U-ID34</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>U-ID35</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>U-ID36</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>U-ID4</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>U-ID5</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>U-ID6</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>U-ID7</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>U-ID8</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>U-ID9</td>\n",
       "      <td>Internal Diameter in USI mode</td>\n",
       "      <td>in</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>U-USIT_AZECEXT_RF</td>\n",
       "      <td>Azimuth of External Eccentering for Unflagged ...</td>\n",
       "      <td>deg</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>U001</td>\n",
       "      <td>Waveform for Azimuth 01</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>U002</td>\n",
       "      <td>Waveform for Azimuth 02</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>U003</td>\n",
       "      <td>Waveform for Azimuth 03</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>U004</td>\n",
       "      <td>Waveform for Azimuth 04</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>U005</td>\n",
       "      <td>Waveform for Azimuth 05</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>U006</td>\n",
       "      <td>Waveform for Azimuth 06</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>U007</td>\n",
       "      <td>Waveform for Azimuth 07</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>U008</td>\n",
       "      <td>Waveform for Azimuth 08</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>U009</td>\n",
       "      <td>Waveform for Azimuth 09</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>U010</td>\n",
       "      <td>Waveform for Azimuth 10</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>U011</td>\n",
       "      <td>Waveform for Azimuth 11</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>U012</td>\n",
       "      <td>Waveform for Azimuth 12</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>U013</td>\n",
       "      <td>Waveform for Azimuth 13</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>U014</td>\n",
       "      <td>Waveform for Azimuth 14</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>U015</td>\n",
       "      <td>Waveform for Azimuth 15</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>U016</td>\n",
       "      <td>Waveform for Azimuth 16</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>U017</td>\n",
       "      <td>Waveform for Azimuth 17</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>U018</td>\n",
       "      <td>Waveform for Azimuth 18</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>U019</td>\n",
       "      <td>Waveform for Azimuth 19</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>U020</td>\n",
       "      <td>Waveform for Azimuth 20</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>U021</td>\n",
       "      <td>Waveform for Azimuth 21</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>U022</td>\n",
       "      <td>Waveform for Azimuth 22</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>U023</td>\n",
       "      <td>Waveform for Azimuth 23</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>U024</td>\n",
       "      <td>Waveform for Azimuth 24</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>U025</td>\n",
       "      <td>Waveform for Azimuth 25</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>U026</td>\n",
       "      <td>Waveform for Azimuth 26</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>U027</td>\n",
       "      <td>Waveform for Azimuth 27</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>U028</td>\n",
       "      <td>Waveform for Azimuth 28</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>U029</td>\n",
       "      <td>Waveform for Azimuth 29</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>U030</td>\n",
       "      <td>Waveform for Azimuth 30</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>U031</td>\n",
       "      <td>Waveform for Azimuth 31</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>U032</td>\n",
       "      <td>Waveform for Azimuth 32</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>U033</td>\n",
       "      <td>Waveform for Azimuth 33</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>U034</td>\n",
       "      <td>Waveform for Azimuth 34</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>U035</td>\n",
       "      <td>Waveform for Azimuth 35</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>U036</td>\n",
       "      <td>Waveform for Azimuth 36</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>U037</td>\n",
       "      <td>Waveform for Azimuth 37</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>U038</td>\n",
       "      <td>Waveform for Azimuth 38</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>U039</td>\n",
       "      <td>Waveform for Azimuth 39</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>U040</td>\n",
       "      <td>Waveform for Azimuth 40</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>U041</td>\n",
       "      <td>Waveform for Azimuth 41</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>U042</td>\n",
       "      <td>Waveform for Azimuth 42</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>U043</td>\n",
       "      <td>Waveform for Azimuth 43</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>U044</td>\n",
       "      <td>Waveform for Azimuth 44</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>U045</td>\n",
       "      <td>Waveform for Azimuth 45</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>U046</td>\n",
       "      <td>Waveform for Azimuth 46</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>U047</td>\n",
       "      <td>Waveform for Azimuth 47</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>U048</td>\n",
       "      <td>Waveform for Azimuth 48</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>U049</td>\n",
       "      <td>Waveform for Azimuth 49</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>U050</td>\n",
       "      <td>Waveform for Azimuth 50</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>U051</td>\n",
       "      <td>Waveform for Azimuth 51</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>U052</td>\n",
       "      <td>Waveform for Azimuth 52</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>U053</td>\n",
       "      <td>Waveform for Azimuth 53</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>U054</td>\n",
       "      <td>Waveform for Azimuth 54</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>U055</td>\n",
       "      <td>Waveform for Azimuth 55</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>U056</td>\n",
       "      <td>Waveform for Azimuth 56</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>U057</td>\n",
       "      <td>Waveform for Azimuth 57</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>U058</td>\n",
       "      <td>Waveform for Azimuth 58</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>U059</td>\n",
       "      <td>Waveform for Azimuth 59</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>U060</td>\n",
       "      <td>Waveform for Azimuth 60</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>U061</td>\n",
       "      <td>Waveform for Azimuth 61</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>U062</td>\n",
       "      <td>Waveform for Azimuth 62</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>U063</td>\n",
       "      <td>Waveform for Azimuth 63</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>U064</td>\n",
       "      <td>Waveform for Azimuth 64</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>U065</td>\n",
       "      <td>Waveform for Azimuth 65</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>U066</td>\n",
       "      <td>Waveform for Azimuth 66</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>U067</td>\n",
       "      <td>Waveform for Azimuth 67</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>U068</td>\n",
       "      <td>Waveform for Azimuth 68</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>U069</td>\n",
       "      <td>Waveform for Azimuth 69</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>U070</td>\n",
       "      <td>Waveform for Azimuth 70</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>U071</td>\n",
       "      <td>Waveform for Azimuth 71</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>U072</td>\n",
       "      <td>Waveform for Azimuth 72</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>UCAZ</td>\n",
       "      <td>Ultrasonic Azimuth</td>\n",
       "      <td>deg</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>UDEP</td>\n",
       "      <td>USIT River Depth Index</td>\n",
       "      <td>m</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>UFLG</td>\n",
       "      <td>USIT Processing Flags</td>\n",
       "      <td></td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>UFRT</td>\n",
       "      <td>Firing Rate</td>\n",
       "      <td>Hz</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>UGCI_RF</td>\n",
       "      <td>USIT Gaseous Index Computed on Unflagged Data</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>UPGA</td>\n",
       "      <td>USIC Programmable Gain Amplitude of Waves</td>\n",
       "      <td>dB</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>USBI</td>\n",
       "      <td>USIT Bond Index</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>USBI_RF</td>\n",
       "      <td>USIT Bond Index Computed on Unflagged Data</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>USGI</td>\n",
       "      <td>USIT Gas Index</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>USGI_RF</td>\n",
       "      <td>USIT Gas Index Computed on Unflagged Data</td>\n",
       "      <td></td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>UTDL</td>\n",
       "      <td>USIC Tachometer Delay</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>UTIM</td>\n",
       "      <td>Time of Arrival of Waves</td>\n",
       "      <td>ms</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>WAGN</td>\n",
       "      <td>Waveform Applied Gain</td>\n",
       "      <td>dB</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>WDMN</td>\n",
       "      <td>Waveform Delay Minimum</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>WDMX</td>\n",
       "      <td>Waveform Delay Maximum</td>\n",
       "      <td>us</td>\n",
       "      <td>[1]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>WFDL</td>\n",
       "      <td>Waveform Delay</td>\n",
       "      <td>us</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>WPKA</td>\n",
       "      <td>Waveform Peak Amplitude</td>\n",
       "      <td></td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Name  \\\n",
       "88                       AGMA   \n",
       "54                       AGMI   \n",
       "112                      AIAV   \n",
       "98                    AIAV_RF   \n",
       "49                       AIBK   \n",
       "89                       AIMN   \n",
       "7                     AIMN_RF   \n",
       "55                       AIMX   \n",
       "90                    AIMX_RF   \n",
       "30   AI_MICRO_DEBONDING_IMAGE   \n",
       "13                       AWAV   \n",
       "0                     AWAV_RF   \n",
       "132                      AWBK   \n",
       "147                   AWBK_RF   \n",
       "133                      AWMN   \n",
       "20                    AWMN_RF   \n",
       "106                      AWMX   \n",
       "120                   AWMX_RF   \n",
       "27                       AZEC   \n",
       "10                   AZEC_EXT   \n",
       "141                   AZEC_RF   \n",
       "61                       BPRE   \n",
       "50                       CCLU   \n",
       "137                      CEMR   \n",
       "56                       CFVL   \n",
       "33                       CZMD   \n",
       "44                       ECCE   \n",
       "45                 ECCEEXT_RF   \n",
       "96                   ECCE_EXT   \n",
       "110                   ECCE_RF   \n",
       "128                      ERAV   \n",
       "127                  ERAV_EXT   \n",
       "148                   ERAV_RF   \n",
       "107                  ERBA_EXT   \n",
       "142                      ERBK   \n",
       "134                  ERBK_EXT   \n",
       "83                   ERBN_EXT   \n",
       "35                       ERMN   \n",
       "53                   ERMN_EXT   \n",
       "149                   ERMN_RF   \n",
       "85                       ERMX   \n",
       "73                   ERMX_EXT   \n",
       "150                   ERMX_RF   \n",
       "104                      ERNO   \n",
       "31                       GASR   \n",
       "151                      GNMN   \n",
       "152                      GNMX   \n",
       "153                      HRTT   \n",
       "11                       IDQC   \n",
       "79                       IRAV   \n",
       "17                   IRAV_EXT   \n",
       "154                   IRAV_RF   \n",
       "32                       IRBK   \n",
       "144                  IRBK_EXT   \n",
       "155                   IRBK_RF   \n",
       "34                       IRMN   \n",
       "19                   IRMN_EXT   \n",
       "156                   IRMN_RF   \n",
       "105                      IRMX   \n",
       "124                  IRMX_EXT   \n",
       "157                   IRMX_RF   \n",
       "82                       IRNO   \n",
       "1                         MDR   \n",
       "158                     MLOSS   \n",
       "8                          RB   \n",
       "159                   RB_USIT   \n",
       "12                       RSAV   \n",
       "101                      T1BK   \n",
       "108                      T2AV   \n",
       "18                       T2BK   \n",
       "160                      THAV   \n",
       "161                   THAV_RF   \n",
       "29                       THBK   \n",
       "162                   THBK_RF   \n",
       "163                      THMN   \n",
       "164                   THMN_RF   \n",
       "165                      THMX   \n",
       "166                   THMX_RF   \n",
       "116                      THNO   \n",
       "167                      TTAV   \n",
       "46                       TTBK   \n",
       "168                      TTMN   \n",
       "169                      TTMX   \n",
       "170                     U-ED1   \n",
       "171                    U-ED10   \n",
       "172                    U-ED11   \n",
       "173                    U-ED12   \n",
       "174                    U-ED13   \n",
       "175                    U-ED14   \n",
       "176                    U-ED15   \n",
       "177                    U-ED16   \n",
       "178                    U-ED17   \n",
       "179                    U-ED18   \n",
       "180                    U-ED19   \n",
       "181                     U-ED2   \n",
       "182                    U-ED20   \n",
       "183                    U-ED21   \n",
       "184                    U-ED22   \n",
       "185                    U-ED23   \n",
       "186                    U-ED24   \n",
       "187                    U-ED25   \n",
       "188                    U-ED26   \n",
       "189                    U-ED27   \n",
       "190                    U-ED28   \n",
       "191                    U-ED29   \n",
       "192                     U-ED3   \n",
       "193                    U-ED30   \n",
       "194                    U-ED31   \n",
       "195                    U-ED32   \n",
       "196                    U-ED33   \n",
       "197                    U-ED34   \n",
       "198                    U-ED35   \n",
       "199                    U-ED36   \n",
       "200                     U-ED4   \n",
       "201                     U-ED5   \n",
       "202                     U-ED6   \n",
       "203                     U-ED7   \n",
       "204                     U-ED8   \n",
       "205                     U-ED9   \n",
       "208                     U-ID1   \n",
       "209                    U-ID10   \n",
       "210                    U-ID11   \n",
       "211                    U-ID12   \n",
       "212                    U-ID13   \n",
       "213                    U-ID14   \n",
       "214                    U-ID15   \n",
       "215                    U-ID16   \n",
       "216                    U-ID17   \n",
       "217                    U-ID18   \n",
       "218                    U-ID19   \n",
       "219                     U-ID2   \n",
       "220                    U-ID20   \n",
       "221                    U-ID21   \n",
       "222                    U-ID22   \n",
       "223                    U-ID23   \n",
       "224                    U-ID24   \n",
       "225                    U-ID25   \n",
       "226                    U-ID26   \n",
       "227                    U-ID27   \n",
       "228                    U-ID28   \n",
       "229                    U-ID29   \n",
       "230                     U-ID3   \n",
       "231                    U-ID30   \n",
       "232                    U-ID31   \n",
       "233                    U-ID32   \n",
       "234                    U-ID33   \n",
       "235                    U-ID34   \n",
       "236                    U-ID35   \n",
       "237                    U-ID36   \n",
       "238                     U-ID4   \n",
       "239                     U-ID5   \n",
       "240                     U-ID6   \n",
       "241                     U-ID7   \n",
       "242                     U-ID8   \n",
       "243                     U-ID9   \n",
       "244         U-USIT_AZECEXT_RF   \n",
       "39                       U001   \n",
       "59                       U002   \n",
       "136                      U003   \n",
       "87                       U004   \n",
       "117                      U005   \n",
       "57                       U006   \n",
       "81                       U007   \n",
       "6                        U008   \n",
       "23                       U009   \n",
       "97                       U010   \n",
       "38                       U011   \n",
       "93                       U012   \n",
       "95                       U013   \n",
       "24                       U014   \n",
       "65                       U015   \n",
       "3                        U016   \n",
       "100                      U017   \n",
       "60                       U018   \n",
       "66                       U019   \n",
       "14                       U020   \n",
       "78                       U021   \n",
       "9                        U022   \n",
       "4                        U023   \n",
       "15                       U024   \n",
       "76                       U025   \n",
       "115                      U026   \n",
       "22                       U027   \n",
       "126                      U028   \n",
       "75                       U029   \n",
       "91                       U030   \n",
       "129                      U031   \n",
       "102                      U032   \n",
       "68                       U033   \n",
       "131                      U034   \n",
       "25                       U035   \n",
       "5                        U036   \n",
       "109                      U037   \n",
       "72                       U038   \n",
       "135                      U039   \n",
       "67                       U040   \n",
       "111                      U041   \n",
       "37                       U042   \n",
       "41                       U043   \n",
       "2                        U044   \n",
       "62                       U045   \n",
       "63                       U046   \n",
       "130                      U047   \n",
       "138                      U048   \n",
       "64                       U049   \n",
       "43                       U050   \n",
       "16                       U051   \n",
       "114                      U052   \n",
       "77                       U053   \n",
       "122                      U054   \n",
       "40                       U055   \n",
       "28                       U056   \n",
       "121                      U057   \n",
       "58                       U058   \n",
       "146                      U059   \n",
       "143                      U060   \n",
       "139                      U061   \n",
       "140                      U062   \n",
       "21                       U063   \n",
       "52                       U064   \n",
       "103                      U065   \n",
       "47                       U066   \n",
       "86                       U067   \n",
       "70                       U068   \n",
       "74                       U069   \n",
       "145                      U070   \n",
       "80                       U071   \n",
       "123                      U072   \n",
       "48                       UCAZ   \n",
       "92                       UDEP   \n",
       "206                      UFLG   \n",
       "207                      UFRT   \n",
       "118                   UGCI_RF   \n",
       "42                       UPGA   \n",
       "69                       USBI   \n",
       "125                   USBI_RF   \n",
       "36                       USGI   \n",
       "84                    USGI_RF   \n",
       "99                       UTDL   \n",
       "113                      UTIM   \n",
       "119                      WAGN   \n",
       "71                       WDMN   \n",
       "94                       WDMX   \n",
       "51                       WFDL   \n",
       "26                       WPKA   \n",
       "\n",
       "                                             Long name  Units Dimension  \\\n",
       "88                     Maximum Allowed Electronic Gain     dB       [1]   \n",
       "54                     Minimum Allowed Electronic Gain     dB       [1]   \n",
       "112                         Acoustic Impedance Average  Mrayl       [1]   \n",
       "98              Median of Unflagged Measured Impedance  Mrayl       [1]   \n",
       "49                                  Acoustic Impedance  Mrayl      [72]   \n",
       "89                          Acoustic Impedance Minimum  Mrayl       [1]   \n",
       "7              Minimum of Unflagged Acoustic Impedance  Mrayl       [1]   \n",
       "55                          Acoustic Impedance Maximum  Mrayl       [1]   \n",
       "90             Maximum of Unflagged Acoustic Impedance  Mrayl       [1]   \n",
       "30       Acoustic Impedance With Micro-debonding Image  Mrayl      [72]   \n",
       "13                           Amplitude of Wave Average     dB       [1]   \n",
       "0                  Average of Unflagged Wave Amplitude     dB       [1]   \n",
       "132                                  Amplitude of Wave     dB      [72]   \n",
       "147    Unflagged Echo Amplitude minus median amplitude     dB      [72]   \n",
       "133                          Amplitude of Wave Minimum     dB       [1]   \n",
       "20                 Minimum of Unflagged Wave Amplitude     dB       [1]   \n",
       "106                          Amplitude of Wave Maximum     dB       [1]   \n",
       "120                Maximum of Unflagged Wave Amplitude     dB       [1]   \n",
       "27                              Azimuth of Eccentering    deg       [1]   \n",
       "10                     Azimuth of External Eccentering    deg       [1]   \n",
       "141         Azimuth of Eccentering for Unflagged Waves    deg       [1]   \n",
       "61                                      Burst Pressure    psi       [1]   \n",
       "50                    Casing Collar Locator Ultrasonic     in       [1]   \n",
       "137              Ratio of Cement Measurements to Total              [1]   \n",
       "56                   Memorized Fluid Acoustic Slowness  us/ft       [1]   \n",
       "33                           Acoustic Impedance of Mud  Mrayl       [1]   \n",
       "44                            Amplitude of Eccentering     in       [1]   \n",
       "45                 Unflagged Data External Eccentering     in       [1]   \n",
       "96                           USIT External Eccentering     in       [1]   \n",
       "110       Amplitude of Eccentering for Unflagged Waves     in       [1]   \n",
       "128                             External Radii Average     in       [1]   \n",
       "127  Average External Radius Corrected for External...     in       [1]   \n",
       "148       Median of External Radii for Unflagged Waves     in       [1]   \n",
       "107  External Radii Corrected for External Eccenter...     in      [72]   \n",
       "142                                     External Radii     in      [72]   \n",
       "134  External Radii Corrected for External Eccentering     in      [72]   \n",
       "83   External Radii Corrected for External Eccenter...     in      [72]   \n",
       "35                              External Radii Minimum     in       [1]   \n",
       "53   Minimum External Radius Corrected for External...     in       [1]   \n",
       "149                Minimum of Unflagged External Radii     in       [1]   \n",
       "85                              External Radii Maximum     in       [1]   \n",
       "73   Maximum External Radius Corrected for External...     in       [1]   \n",
       "150                Maximum of Unflagged External Radii     in       [1]   \n",
       "104                     Nominal Casing External Radius     in       [1]   \n",
       "31                  Ratio of Gas Measurements to Total              [1]   \n",
       "151                              Waveform Gain Minimum     dB       [1]   \n",
       "152                              Waveform Gain Maximum     dB       [1]   \n",
       "153                Histogram of Raw Transit Time Index     us     [180]   \n",
       "11                     Internal Diameter Quality Check     in       [1]   \n",
       "79                      Internal Radius Averaged Value     in       [1]   \n",
       "17   Average Internal Radius Corrected for External...     in       [1]   \n",
       "154  Median Internal Radius of Casing for Unflagged...     in       [1]   \n",
       "32                           Internal Radii Normalized     in      [72]   \n",
       "144  Internal Radii Corrected for External Eccentering     in      [72]   \n",
       "155                 Unflagged External Radii of Casing     in      [72]   \n",
       "34                       Internal Radius Minimum Value     in       [1]   \n",
       "19   Minimum Internal Radius Corrected for External...     in       [1]   \n",
       "156  Minimum of Unflagged Internal Radii Corrected ...     in       [1]   \n",
       "105                      Internal Radius Maximum Value     in       [1]   \n",
       "124  Maximum Internal Radius Corrected for External...     in       [1]   \n",
       "157  Maximum of Unflagged Internal Radii Corrected ...     in       [1]   \n",
       "82                      Nominal Casing Internal Radius     in       [1]   \n",
       "1                                Micro-debonding Ratio              [1]   \n",
       "158                                         Metal Loss      %       [1]   \n",
       "8                                     Relative Bearing    deg       [1]   \n",
       "159                                            USIT RB    deg       [1]   \n",
       "12                              Motor Revolution Speed    c/s       [1]   \n",
       "101                         Internal Radius Metal Loss     in      [72]   \n",
       "108          Thickness Average of Casing minus Nominal     in       [1]   \n",
       "18                   Thickness of Casing minus Nominal     in      [72]   \n",
       "160                            Thickness Average Value     in       [1]   \n",
       "161              Average of Unflagged Casing Thickness     in       [1]   \n",
       "29                         Casing Thickness Normalized     in      [72]   \n",
       "162             Image of Unflagged Thickness of Casing     in      [72]   \n",
       "163                            Thickness Minimum Value     in       [1]   \n",
       "164              Minimum of Unflagged Casing Thickness     in       [1]   \n",
       "165                            Thickness Maximum Value     in       [1]   \n",
       "166              Maximum of Unflagged Casing Thickness     in       [1]   \n",
       "116                           Nominal Casing Thickness     in       [1]   \n",
       "167                               Transit time average     us       [1]   \n",
       "46                                        Transit Time     us      [72]   \n",
       "168                         Transit Time Minimum Value     us       [1]   \n",
       "169                         Transit Time Maximum Value     us       [1]   \n",
       "170                      External Diameter in USI mode     in       [1]   \n",
       "171                      External Diameter in USI mode     in       [1]   \n",
       "172                      External Diameter in USI mode     in       [1]   \n",
       "173                      External Diameter in USI mode     in       [1]   \n",
       "174                      External Diameter in USI mode     in       [1]   \n",
       "175                      External Diameter in USI mode     in       [1]   \n",
       "176                      External Diameter in USI mode     in       [1]   \n",
       "177                      External Diameter in USI mode     in       [1]   \n",
       "178                      External Diameter in USI mode     in       [1]   \n",
       "179                      External Diameter in USI mode     in       [1]   \n",
       "180                      External Diameter in USI mode     in       [1]   \n",
       "181                      External Diameter in USI mode     in       [1]   \n",
       "182                      External Diameter in USI mode     in       [1]   \n",
       "183                      External Diameter in USI mode     in       [1]   \n",
       "184                      External Diameter in USI mode     in       [1]   \n",
       "185                      External Diameter in USI mode     in       [1]   \n",
       "186                      External Diameter in USI mode     in       [1]   \n",
       "187                      External Diameter in USI mode     in       [1]   \n",
       "188                      External Diameter in USI mode     in       [1]   \n",
       "189                      External Diameter in USI mode     in       [1]   \n",
       "190                      External Diameter in USI mode     in       [1]   \n",
       "191                      External Diameter in USI mode     in       [1]   \n",
       "192                      External Diameter in USI mode     in       [1]   \n",
       "193                      External Diameter in USI mode     in       [1]   \n",
       "194                      External Diameter in USI mode     in       [1]   \n",
       "195                      External Diameter in USI mode     in       [1]   \n",
       "196                      External Diameter in USI mode     in       [1]   \n",
       "197                      External Diameter in USI mode     in       [1]   \n",
       "198                      External Diameter in USI mode     in       [1]   \n",
       "199                      External Diameter in USI mode     in       [1]   \n",
       "200                      External Diameter in USI mode     in       [1]   \n",
       "201                      External Diameter in USI mode     in       [1]   \n",
       "202                      External Diameter in USI mode     in       [1]   \n",
       "203                      External Diameter in USI mode     in       [1]   \n",
       "204                      External Diameter in USI mode     in       [1]   \n",
       "205                      External Diameter in USI mode     in       [1]   \n",
       "208                      Internal Diameter in USI mode     in       [1]   \n",
       "209                      Internal Diameter in USI mode     in       [1]   \n",
       "210                      Internal Diameter in USI mode     in       [1]   \n",
       "211                      Internal Diameter in USI mode     in       [1]   \n",
       "212                      Internal Diameter in USI mode     in       [1]   \n",
       "213                      Internal Diameter in USI mode     in       [1]   \n",
       "214                      Internal Diameter in USI mode     in       [1]   \n",
       "215                      Internal Diameter in USI mode     in       [1]   \n",
       "216                      Internal Diameter in USI mode     in       [1]   \n",
       "217                      Internal Diameter in USI mode     in       [1]   \n",
       "218                      Internal Diameter in USI mode     in       [1]   \n",
       "219                      Internal Diameter in USI mode     in       [1]   \n",
       "220                      Internal Diameter in USI mode     in       [1]   \n",
       "221                      Internal Diameter in USI mode     in       [1]   \n",
       "222                      Internal Diameter in USI mode     in       [1]   \n",
       "223                      Internal Diameter in USI mode     in       [1]   \n",
       "224                      Internal Diameter in USI mode     in       [1]   \n",
       "225                      Internal Diameter in USI mode     in       [1]   \n",
       "226                      Internal Diameter in USI mode     in       [1]   \n",
       "227                      Internal Diameter in USI mode     in       [1]   \n",
       "228                      Internal Diameter in USI mode     in       [1]   \n",
       "229                      Internal Diameter in USI mode     in       [1]   \n",
       "230                      Internal Diameter in USI mode     in       [1]   \n",
       "231                      Internal Diameter in USI mode     in       [1]   \n",
       "232                      Internal Diameter in USI mode     in       [1]   \n",
       "233                      Internal Diameter in USI mode     in       [1]   \n",
       "234                      Internal Diameter in USI mode     in       [1]   \n",
       "235                      Internal Diameter in USI mode     in       [1]   \n",
       "236                      Internal Diameter in USI mode     in       [1]   \n",
       "237                      Internal Diameter in USI mode     in       [1]   \n",
       "238                      Internal Diameter in USI mode     in       [1]   \n",
       "239                      Internal Diameter in USI mode     in       [1]   \n",
       "240                      Internal Diameter in USI mode     in       [1]   \n",
       "241                      Internal Diameter in USI mode     in       [1]   \n",
       "242                      Internal Diameter in USI mode     in       [1]   \n",
       "243                      Internal Diameter in USI mode     in       [1]   \n",
       "244  Azimuth of External Eccentering for Unflagged ...    deg       [1]   \n",
       "39                             Waveform for Azimuth 01            [120]   \n",
       "59                             Waveform for Azimuth 02            [120]   \n",
       "136                            Waveform for Azimuth 03            [120]   \n",
       "87                             Waveform for Azimuth 04            [120]   \n",
       "117                            Waveform for Azimuth 05            [120]   \n",
       "57                             Waveform for Azimuth 06            [120]   \n",
       "81                             Waveform for Azimuth 07            [120]   \n",
       "6                              Waveform for Azimuth 08            [120]   \n",
       "23                             Waveform for Azimuth 09            [120]   \n",
       "97                             Waveform for Azimuth 10            [120]   \n",
       "38                             Waveform for Azimuth 11            [120]   \n",
       "93                             Waveform for Azimuth 12            [120]   \n",
       "95                             Waveform for Azimuth 13            [120]   \n",
       "24                             Waveform for Azimuth 14            [120]   \n",
       "65                             Waveform for Azimuth 15            [120]   \n",
       "3                              Waveform for Azimuth 16            [120]   \n",
       "100                            Waveform for Azimuth 17            [120]   \n",
       "60                             Waveform for Azimuth 18            [120]   \n",
       "66                             Waveform for Azimuth 19            [120]   \n",
       "14                             Waveform for Azimuth 20            [120]   \n",
       "78                             Waveform for Azimuth 21            [120]   \n",
       "9                              Waveform for Azimuth 22            [120]   \n",
       "4                              Waveform for Azimuth 23            [120]   \n",
       "15                             Waveform for Azimuth 24            [120]   \n",
       "76                             Waveform for Azimuth 25            [120]   \n",
       "115                            Waveform for Azimuth 26            [120]   \n",
       "22                             Waveform for Azimuth 27            [120]   \n",
       "126                            Waveform for Azimuth 28            [120]   \n",
       "75                             Waveform for Azimuth 29            [120]   \n",
       "91                             Waveform for Azimuth 30            [120]   \n",
       "129                            Waveform for Azimuth 31            [120]   \n",
       "102                            Waveform for Azimuth 32            [120]   \n",
       "68                             Waveform for Azimuth 33            [120]   \n",
       "131                            Waveform for Azimuth 34            [120]   \n",
       "25                             Waveform for Azimuth 35            [120]   \n",
       "5                              Waveform for Azimuth 36            [120]   \n",
       "109                            Waveform for Azimuth 37            [120]   \n",
       "72                             Waveform for Azimuth 38            [120]   \n",
       "135                            Waveform for Azimuth 39            [120]   \n",
       "67                             Waveform for Azimuth 40            [120]   \n",
       "111                            Waveform for Azimuth 41            [120]   \n",
       "37                             Waveform for Azimuth 42            [120]   \n",
       "41                             Waveform for Azimuth 43            [120]   \n",
       "2                              Waveform for Azimuth 44            [120]   \n",
       "62                             Waveform for Azimuth 45            [120]   \n",
       "63                             Waveform for Azimuth 46            [120]   \n",
       "130                            Waveform for Azimuth 47            [120]   \n",
       "138                            Waveform for Azimuth 48            [120]   \n",
       "64                             Waveform for Azimuth 49            [120]   \n",
       "43                             Waveform for Azimuth 50            [120]   \n",
       "16                             Waveform for Azimuth 51            [120]   \n",
       "114                            Waveform for Azimuth 52            [120]   \n",
       "77                             Waveform for Azimuth 53            [120]   \n",
       "122                            Waveform for Azimuth 54            [120]   \n",
       "40                             Waveform for Azimuth 55            [120]   \n",
       "28                             Waveform for Azimuth 56            [120]   \n",
       "121                            Waveform for Azimuth 57            [120]   \n",
       "58                             Waveform for Azimuth 58            [120]   \n",
       "146                            Waveform for Azimuth 59            [120]   \n",
       "143                            Waveform for Azimuth 60            [120]   \n",
       "139                            Waveform for Azimuth 61            [120]   \n",
       "140                            Waveform for Azimuth 62            [120]   \n",
       "21                             Waveform for Azimuth 63            [120]   \n",
       "52                             Waveform for Azimuth 64            [120]   \n",
       "103                            Waveform for Azimuth 65            [120]   \n",
       "47                             Waveform for Azimuth 66            [120]   \n",
       "86                             Waveform for Azimuth 67            [120]   \n",
       "70                             Waveform for Azimuth 68            [120]   \n",
       "74                             Waveform for Azimuth 69            [120]   \n",
       "145                            Waveform for Azimuth 70            [120]   \n",
       "80                             Waveform for Azimuth 71            [120]   \n",
       "123                            Waveform for Azimuth 72            [120]   \n",
       "48                                  Ultrasonic Azimuth    deg       [1]   \n",
       "92                              USIT River Depth Index      m       [1]   \n",
       "206                              USIT Processing Flags             [72]   \n",
       "207                                        Firing Rate     Hz       [1]   \n",
       "118      USIT Gaseous Index Computed on Unflagged Data              [1]   \n",
       "42           USIC Programmable Gain Amplitude of Waves     dB      [72]   \n",
       "69                                     USIT Bond Index              [1]   \n",
       "125         USIT Bond Index Computed on Unflagged Data              [1]   \n",
       "36                                      USIT Gas Index              [1]   \n",
       "84           USIT Gas Index Computed on Unflagged Data              [1]   \n",
       "99                               USIC Tachometer Delay     us       [1]   \n",
       "113                           Time of Arrival of Waves     ms      [72]   \n",
       "119                              Waveform Applied Gain     dB      [72]   \n",
       "71                              Waveform Delay Minimum     us       [1]   \n",
       "94                              Waveform Delay Maximum     us       [1]   \n",
       "51                                      Waveform Delay     us      [72]   \n",
       "26                             Waveform Peak Amplitude             [72]   \n",
       "\n",
       "          Frame  \n",
       "88   Frame(60B)  \n",
       "54   Frame(60B)  \n",
       "112  Frame(60B)  \n",
       "98   Frame(60B)  \n",
       "49   Frame(60B)  \n",
       "89   Frame(60B)  \n",
       "7    Frame(60B)  \n",
       "55   Frame(60B)  \n",
       "90   Frame(60B)  \n",
       "30   Frame(60B)  \n",
       "13   Frame(60B)  \n",
       "0    Frame(60B)  \n",
       "132  Frame(60B)  \n",
       "147  Frame(60B)  \n",
       "133  Frame(60B)  \n",
       "20   Frame(60B)  \n",
       "106  Frame(60B)  \n",
       "120  Frame(60B)  \n",
       "27   Frame(60B)  \n",
       "10   Frame(60B)  \n",
       "141  Frame(60B)  \n",
       "61   Frame(60B)  \n",
       "50   Frame(60B)  \n",
       "137  Frame(60B)  \n",
       "56   Frame(60B)  \n",
       "33   Frame(60B)  \n",
       "44   Frame(60B)  \n",
       "45   Frame(60B)  \n",
       "96   Frame(60B)  \n",
       "110  Frame(60B)  \n",
       "128  Frame(60B)  \n",
       "127  Frame(60B)  \n",
       "148  Frame(60B)  \n",
       "107  Frame(60B)  \n",
       "142  Frame(60B)  \n",
       "134  Frame(60B)  \n",
       "83   Frame(60B)  \n",
       "35   Frame(60B)  \n",
       "53   Frame(60B)  \n",
       "149  Frame(60B)  \n",
       "85   Frame(60B)  \n",
       "73   Frame(60B)  \n",
       "150  Frame(60B)  \n",
       "104  Frame(60B)  \n",
       "31   Frame(60B)  \n",
       "151  Frame(60B)  \n",
       "152  Frame(60B)  \n",
       "153  Frame(60B)  \n",
       "11   Frame(60B)  \n",
       "79   Frame(60B)  \n",
       "17   Frame(60B)  \n",
       "154  Frame(60B)  \n",
       "32   Frame(60B)  \n",
       "144  Frame(60B)  \n",
       "155  Frame(60B)  \n",
       "34   Frame(60B)  \n",
       "19   Frame(60B)  \n",
       "156  Frame(60B)  \n",
       "105  Frame(60B)  \n",
       "124  Frame(60B)  \n",
       "157  Frame(60B)  \n",
       "82   Frame(60B)  \n",
       "1    Frame(60B)  \n",
       "158  Frame(60B)  \n",
       "8    Frame(60B)  \n",
       "159  Frame(60B)  \n",
       "12   Frame(60B)  \n",
       "101  Frame(60B)  \n",
       "108  Frame(60B)  \n",
       "18   Frame(60B)  \n",
       "160  Frame(60B)  \n",
       "161  Frame(60B)  \n",
       "29   Frame(60B)  \n",
       "162  Frame(60B)  \n",
       "163  Frame(60B)  \n",
       "164  Frame(60B)  \n",
       "165  Frame(60B)  \n",
       "166  Frame(60B)  \n",
       "116  Frame(60B)  \n",
       "167  Frame(60B)  \n",
       "46   Frame(60B)  \n",
       "168  Frame(60B)  \n",
       "169  Frame(60B)  \n",
       "170  Frame(60B)  \n",
       "171  Frame(60B)  \n",
       "172  Frame(60B)  \n",
       "173  Frame(60B)  \n",
       "174  Frame(60B)  \n",
       "175  Frame(60B)  \n",
       "176  Frame(60B)  \n",
       "177  Frame(60B)  \n",
       "178  Frame(60B)  \n",
       "179  Frame(60B)  \n",
       "180  Frame(60B)  \n",
       "181  Frame(60B)  \n",
       "182  Frame(60B)  \n",
       "183  Frame(60B)  \n",
       "184  Frame(60B)  \n",
       "185  Frame(60B)  \n",
       "186  Frame(60B)  \n",
       "187  Frame(60B)  \n",
       "188  Frame(60B)  \n",
       "189  Frame(60B)  \n",
       "190  Frame(60B)  \n",
       "191  Frame(60B)  \n",
       "192  Frame(60B)  \n",
       "193  Frame(60B)  \n",
       "194  Frame(60B)  \n",
       "195  Frame(60B)  \n",
       "196  Frame(60B)  \n",
       "197  Frame(60B)  \n",
       "198  Frame(60B)  \n",
       "199  Frame(60B)  \n",
       "200  Frame(60B)  \n",
       "201  Frame(60B)  \n",
       "202  Frame(60B)  \n",
       "203  Frame(60B)  \n",
       "204  Frame(60B)  \n",
       "205  Frame(60B)  \n",
       "208  Frame(60B)  \n",
       "209  Frame(60B)  \n",
       "210  Frame(60B)  \n",
       "211  Frame(60B)  \n",
       "212  Frame(60B)  \n",
       "213  Frame(60B)  \n",
       "214  Frame(60B)  \n",
       "215  Frame(60B)  \n",
       "216  Frame(60B)  \n",
       "217  Frame(60B)  \n",
       "218  Frame(60B)  \n",
       "219  Frame(60B)  \n",
       "220  Frame(60B)  \n",
       "221  Frame(60B)  \n",
       "222  Frame(60B)  \n",
       "223  Frame(60B)  \n",
       "224  Frame(60B)  \n",
       "225  Frame(60B)  \n",
       "226  Frame(60B)  \n",
       "227  Frame(60B)  \n",
       "228  Frame(60B)  \n",
       "229  Frame(60B)  \n",
       "230  Frame(60B)  \n",
       "231  Frame(60B)  \n",
       "232  Frame(60B)  \n",
       "233  Frame(60B)  \n",
       "234  Frame(60B)  \n",
       "235  Frame(60B)  \n",
       "236  Frame(60B)  \n",
       "237  Frame(60B)  \n",
       "238  Frame(60B)  \n",
       "239  Frame(60B)  \n",
       "240  Frame(60B)  \n",
       "241  Frame(60B)  \n",
       "242  Frame(60B)  \n",
       "243  Frame(60B)  \n",
       "244  Frame(60B)  \n",
       "39   Frame(60B)  \n",
       "59   Frame(60B)  \n",
       "136  Frame(60B)  \n",
       "87   Frame(60B)  \n",
       "117  Frame(60B)  \n",
       "57   Frame(60B)  \n",
       "81   Frame(60B)  \n",
       "6    Frame(60B)  \n",
       "23   Frame(60B)  \n",
       "97   Frame(60B)  \n",
       "38   Frame(60B)  \n",
       "93   Frame(60B)  \n",
       "95   Frame(60B)  \n",
       "24   Frame(60B)  \n",
       "65   Frame(60B)  \n",
       "3    Frame(60B)  \n",
       "100  Frame(60B)  \n",
       "60   Frame(60B)  \n",
       "66   Frame(60B)  \n",
       "14   Frame(60B)  \n",
       "78   Frame(60B)  \n",
       "9    Frame(60B)  \n",
       "4    Frame(60B)  \n",
       "15   Frame(60B)  \n",
       "76   Frame(60B)  \n",
       "115  Frame(60B)  \n",
       "22   Frame(60B)  \n",
       "126  Frame(60B)  \n",
       "75   Frame(60B)  \n",
       "91   Frame(60B)  \n",
       "129  Frame(60B)  \n",
       "102  Frame(60B)  \n",
       "68   Frame(60B)  \n",
       "131  Frame(60B)  \n",
       "25   Frame(60B)  \n",
       "5    Frame(60B)  \n",
       "109  Frame(60B)  \n",
       "72   Frame(60B)  \n",
       "135  Frame(60B)  \n",
       "67   Frame(60B)  \n",
       "111  Frame(60B)  \n",
       "37   Frame(60B)  \n",
       "41   Frame(60B)  \n",
       "2    Frame(60B)  \n",
       "62   Frame(60B)  \n",
       "63   Frame(60B)  \n",
       "130  Frame(60B)  \n",
       "138  Frame(60B)  \n",
       "64   Frame(60B)  \n",
       "43   Frame(60B)  \n",
       "16   Frame(60B)  \n",
       "114  Frame(60B)  \n",
       "77   Frame(60B)  \n",
       "122  Frame(60B)  \n",
       "40   Frame(60B)  \n",
       "28   Frame(60B)  \n",
       "121  Frame(60B)  \n",
       "58   Frame(60B)  \n",
       "146  Frame(60B)  \n",
       "143  Frame(60B)  \n",
       "139  Frame(60B)  \n",
       "140  Frame(60B)  \n",
       "21   Frame(60B)  \n",
       "52   Frame(60B)  \n",
       "103  Frame(60B)  \n",
       "47   Frame(60B)  \n",
       "86   Frame(60B)  \n",
       "70   Frame(60B)  \n",
       "74   Frame(60B)  \n",
       "145  Frame(60B)  \n",
       "80   Frame(60B)  \n",
       "123  Frame(60B)  \n",
       "48   Frame(60B)  \n",
       "92   Frame(60B)  \n",
       "206  Frame(60B)  \n",
       "207  Frame(60B)  \n",
       "118  Frame(60B)  \n",
       "42   Frame(60B)  \n",
       "69   Frame(60B)  \n",
       "125  Frame(60B)  \n",
       "36   Frame(60B)  \n",
       "84   Frame(60B)  \n",
       "99   Frame(60B)  \n",
       "113  Frame(60B)  \n",
       "119  Frame(60B)  \n",
       "71   Frame(60B)  \n",
       "94   Frame(60B)  \n",
       "51   Frame(60B)  \n",
       "26   Frame(60B)  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "usit_channel_table = summarize(usit.channels, name='Name', long_name='Long name', units='Units',\n",
    "                                              dimension='Dimension', frame='Frame')\n",
    "usit_channel_table.sort_values('Name')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the much larger number of parameters and channels, it is clear that there is a lot more information available from the USIT than the DSLT.\n",
    "\n",
    "\n",
    "## Investigating basic azimuthal channels\n",
    "\n",
    "To start making sense of this information, we can see that many of the USIT channels have a dimension corresponding to the value of the `NWPD` (‘Number of Waveforms per Depth’) parameter. (`NWPD` has values of 72 or 36 in the Volve integrity log files). These channels represent the results of processing the measured waveforms, with each of the 72 or 36 values per depth representing a measurement at a different azimuthal angle. Let's show all of them:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "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></th>\n",
       "      <th>Name</th>\n",
       "      <th>Long name</th>\n",
       "      <th>Units</th>\n",
       "      <th>Dimension</th>\n",
       "      <th>Frame</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>AIBK</td>\n",
       "      <td>Acoustic Impedance</td>\n",
       "      <td>Mrayl</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>AI_MICRO_DEBONDING_IMAGE</td>\n",
       "      <td>Acoustic Impedance With Micro-debonding Image</td>\n",
       "      <td>Mrayl</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>AWBK</td>\n",
       "      <td>Amplitude of Wave</td>\n",
       "      <td>dB</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>AWBK_RF</td>\n",
       "      <td>Unflagged Echo Amplitude minus median amplitude</td>\n",
       "      <td>dB</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>ERBA_EXT</td>\n",
       "      <td>External Radii Corrected for External Eccenter...</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>ERBK</td>\n",
       "      <td>External Radii</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>ERBK_EXT</td>\n",
       "      <td>External Radii Corrected for External Eccentering</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>ERBN_EXT</td>\n",
       "      <td>External Radii Corrected for External Eccenter...</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>IRBK</td>\n",
       "      <td>Internal Radii Normalized</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>IRBK_EXT</td>\n",
       "      <td>Internal Radii Corrected for External Eccentering</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>IRBK_RF</td>\n",
       "      <td>Unflagged External Radii of Casing</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>T1BK</td>\n",
       "      <td>Internal Radius Metal Loss</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>T2BK</td>\n",
       "      <td>Thickness of Casing minus Nominal</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>THBK</td>\n",
       "      <td>Casing Thickness Normalized</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>THBK_RF</td>\n",
       "      <td>Image of Unflagged Thickness of Casing</td>\n",
       "      <td>in</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>TTBK</td>\n",
       "      <td>Transit Time</td>\n",
       "      <td>us</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>UFLG</td>\n",
       "      <td>USIT Processing Flags</td>\n",
       "      <td></td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>UPGA</td>\n",
       "      <td>USIC Programmable Gain Amplitude of Waves</td>\n",
       "      <td>dB</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>UTIM</td>\n",
       "      <td>Time of Arrival of Waves</td>\n",
       "      <td>ms</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>WAGN</td>\n",
       "      <td>Waveform Applied Gain</td>\n",
       "      <td>dB</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>WFDL</td>\n",
       "      <td>Waveform Delay</td>\n",
       "      <td>us</td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>WPKA</td>\n",
       "      <td>Waveform Peak Amplitude</td>\n",
       "      <td></td>\n",
       "      <td>[72]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Name  \\\n",
       "49                       AIBK   \n",
       "30   AI_MICRO_DEBONDING_IMAGE   \n",
       "132                      AWBK   \n",
       "147                   AWBK_RF   \n",
       "107                  ERBA_EXT   \n",
       "142                      ERBK   \n",
       "134                  ERBK_EXT   \n",
       "83                   ERBN_EXT   \n",
       "32                       IRBK   \n",
       "144                  IRBK_EXT   \n",
       "155                   IRBK_RF   \n",
       "101                      T1BK   \n",
       "18                       T2BK   \n",
       "29                       THBK   \n",
       "162                   THBK_RF   \n",
       "46                       TTBK   \n",
       "206                      UFLG   \n",
       "42                       UPGA   \n",
       "113                      UTIM   \n",
       "119                      WAGN   \n",
       "51                       WFDL   \n",
       "26                       WPKA   \n",
       "\n",
       "                                             Long name  Units Dimension  \\\n",
       "49                                  Acoustic Impedance  Mrayl      [72]   \n",
       "30       Acoustic Impedance With Micro-debonding Image  Mrayl      [72]   \n",
       "132                                  Amplitude of Wave     dB      [72]   \n",
       "147    Unflagged Echo Amplitude minus median amplitude     dB      [72]   \n",
       "107  External Radii Corrected for External Eccenter...     in      [72]   \n",
       "142                                     External Radii     in      [72]   \n",
       "134  External Radii Corrected for External Eccentering     in      [72]   \n",
       "83   External Radii Corrected for External Eccenter...     in      [72]   \n",
       "32                           Internal Radii Normalized     in      [72]   \n",
       "144  Internal Radii Corrected for External Eccentering     in      [72]   \n",
       "155                 Unflagged External Radii of Casing     in      [72]   \n",
       "101                         Internal Radius Metal Loss     in      [72]   \n",
       "18                   Thickness of Casing minus Nominal     in      [72]   \n",
       "29                         Casing Thickness Normalized     in      [72]   \n",
       "162             Image of Unflagged Thickness of Casing     in      [72]   \n",
       "46                                        Transit Time     us      [72]   \n",
       "206                              USIT Processing Flags             [72]   \n",
       "42           USIC Programmable Gain Amplitude of Waves     dB      [72]   \n",
       "113                           Time of Arrival of Waves     ms      [72]   \n",
       "119                              Waveform Applied Gain     dB      [72]   \n",
       "51                                      Waveform Delay     us      [72]   \n",
       "26                             Waveform Peak Amplitude             [72]   \n",
       "\n",
       "          Frame  \n",
       "49   Frame(60B)  \n",
       "30   Frame(60B)  \n",
       "132  Frame(60B)  \n",
       "147  Frame(60B)  \n",
       "107  Frame(60B)  \n",
       "142  Frame(60B)  \n",
       "134  Frame(60B)  \n",
       "83   Frame(60B)  \n",
       "32   Frame(60B)  \n",
       "144  Frame(60B)  \n",
       "155  Frame(60B)  \n",
       "101  Frame(60B)  \n",
       "18   Frame(60B)  \n",
       "29   Frame(60B)  \n",
       "162  Frame(60B)  \n",
       "46   Frame(60B)  \n",
       "206  Frame(60B)  \n",
       "42   Frame(60B)  \n",
       "113  Frame(60B)  \n",
       "119  Frame(60B)  \n",
       "51   Frame(60B)  \n",
       "26   Frame(60B)  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the value of the NWPD parameter\n",
    "nwpd = f.object('PARAMETER', 'NWPD').values[0]\n",
    "\n",
    "# Show all azimuthal channels\n",
    "usit_channel_table[usit_channel_table['Dimension'] == nwpd].sort_values('Name')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are a lot of channels here that sound similar (for example several channels to do with internal and external radii of the casing), but there are some we can pick out immediately based on what information we know should be present:\n",
    "\n",
    "* `AIBK` (‘Acoustic Impedance’) should represent the estimated impedance of the material behind the casing.\n",
    "* `IRBK` (‘Internal Radii Normalized’) should represent the internal radius, with some kind of normalisation.\n",
    "* `T2BK` (‘Thickness of Casing minus Nominal’) should represent the difference between the actual casing thickness and the nominal casing thickness, which is stored in the parameter `THNO`.\n",
    "* `ERBK` (‘External Radii’) should represent the external radius of the casing.\n",
    "\n",
    "Let's load these channels to investigate them further:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# All the Channels we want are in Frame(60B)\n",
    "frame60B = f.object('FRAME', '60B')\n",
    "index60B = index_of(frame60B) \n",
    "curves60B = frame60B.curves()\n",
    "\n",
    "# Convert the index to metres if needed\n",
    "if index60B.units == '0.1 in':\n",
    "    curves60B[index60B.name] *= 0.00254\n",
    "\n",
    "# Get the metadata of each channel\n",
    "aibk = get_channel(frame60B, 'AIBK')\n",
    "t2bk = get_channel(frame60B, 'T2BK')\n",
    "erbk = get_channel(frame60B, 'ERBK')\n",
    "irbk = get_channel(frame60B, 'IRBK')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each array corresponding to the channel curves, e.g. $\\mathtt{AIBK}(i,j)$, has two dimensions. The first dimension, which we represent by the index $i$, is depth. The second, which we represent by the index $j$, is the azimuthal angle. The actual azimuthal angle is given from the `NWPD` parameter as $\\varphi_j = j \\Delta \\varphi$, where $\\Delta\\varphi = 360/\\mathrm{NWPD}$:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "dang = 360//nwpd\n",
    "ang = dang * np.arange(nwpd)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can plot the data from these four channels:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 450x600 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(ncols=4, figsize=(9,12), sharey=True, constrained_layout=True)\n",
    "\n",
    "ax = axes[0]\n",
    "im = paint_channel(ax, curves60B['AIBK'], curves60B[frame60B.index], ang, cmap='YlOrBr', vmin=0, vmax=7.5)\n",
    "cbar = fig.colorbar(im, ax=ax, location='top')\n",
    "cbar.set_label(f'AIBK [{aibk.units}]')\n",
    "ax.set_ylabel('Depth $z$ [m]')\n",
    "\n",
    "ax = axes[1]\n",
    "im = paint_channel(ax, curves60B['IRBK'], curves60B[frame60B.index], ang, cmap='seismic', vmin=-0.045, vmax=0.045)\n",
    "cbar = fig.colorbar(im, ax=ax, location='top')\n",
    "cbar.set_label(f'IRBK [{irbk.units}]')\n",
    "\n",
    "ax = axes[2]\n",
    "im = paint_channel(ax, curves60B['T2BK'], curves60B[frame60B.index], ang, cmap='seismic', vmin=-0.035, vmax=0.035)\n",
    "cbar = fig.colorbar(im, ax=ax, location='top')\n",
    "cbar.set_label(f'T2BK [{t2bk.units}]')\n",
    "\n",
    "ax = axes[3]\n",
    "im = paint_channel(ax, curves60B['ERBK'], curves60B[frame60B.index], ang, vmin=4.83, vmax=4.91)\n",
    "cbar = fig.colorbar(im, ax=ax, location='top')\n",
    "cbar.set_label(f'ERBK [{erbk.units}]')\n",
    "\n",
    "for ax in axes:\n",
    "    ax.set_xticks([0, 90, 180, 270, 360])\n",
    "    ax.grid(True)\n",
    "    ax.set_xlabel('Azimuthal angle $\\\\varphi$ [°]')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The three latter channels provide information about the geometry of the casing. `T2BK`, together with the nominal thickness parameter `THNO` give us the casing thickness as\n",
    "\n",
    "$$d(z_i,\\varphi_j) = \\mathtt{T2BK}(i,j) + \\mathtt{THNO} ,$$\n",
    "\n",
    "while the `ERBK` channel directly gives us the casing outer radius as\n",
    "\n",
    "$$r_\\mathrm{o}(z_i,\\varphi_j) = \\mathtt{ERBK}(i,j) .$$\n",
    "\n",
    "However, the long name of the `IRBK` channel, \"Internal Radii Normalized\", refers to some as of yet unknown normalisation. Using Schlumberger's [Curve Mnemonic Dictionary](https://www.apps.slb.com/cmd/index.aspx) to look up [IRBK](https://www.apps.slb.com/cmd/ChannelItem.aspx?code=IRBK), we find that the channel has the property [Differential_Radius](https://www.apps.slb.com/cmd/PropertyItem.aspx?code=Differential_Radius), which means that it represents the difference between the actual radius of an object and its average radius. Looking at the list of channels for something giving an average radius, we can find the `IRAV` (\"Internal Radius Averaged Value\") curve channel. We may then guess that we can find the actual internal radius as\n",
    "\n",
    "$$r_\\mathrm{i}(z_i,\\varphi_j) = \\mathtt{IRAV}(i) + \\mathtt{IRBK}(i,j) .$$\n",
    "\n",
    "To check this guess, we can compare two methods of finding the internal radius and check if\n",
    "\n",
    "$$r_\\mathrm{i}(z_i,\\varphi_j) = r_\\mathrm{o}(z_i,\\varphi_j) - d(z_i,\\varphi_j) :$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Maximum absolute difference between the two internal radius approaches: 4.7683716e-07\n",
      "Machine epsilon for float32 values: 1.1920928955078125e-07\n"
     ]
    }
   ],
   "source": [
    "# Casing thickness\n",
    "thno = f.object('PARAMETER', 'THNO').values[0]\n",
    "d = curves60B['T2BK'] + thno\n",
    "\n",
    "# Outer casing radius\n",
    "r_o = curves60B['ERBK']\n",
    "\n",
    "# Inner casing radius?\n",
    "r_i = curves60B['IRAV'][:, np.newaxis] + curves60B['IRBK'][:, :]\n",
    "\n",
    "print('Maximum absolute difference between the two internal radius approaches:', np.max(np.abs(r_i - (r_o - d))))\n",
    "print(f'Machine epsilon for {curves60B[\"IRBK\"].dtype} values: {np.finfo(curves60B[\"IRBK\"].dtype).eps}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As the difference between the two methods is on the order of machine epsilon for the float32 variables used in the data channels, we have confirmed that both these methods agree on the internal radius, with the only differences caused by roundoff error.\n",
    "\n",
    "We can use this geometry data to plot the casing geometry at a particular depth:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOYAAADrCAYAAAB99OplAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAexAAAHsQEGxWGGAAB30ElEQVR4nO2dd3hb1fnHP9qS9957JHY8k5AQRgYpM0CgEHYptFBG2KHQQhmhwK9llE0JhTBLoRAoI2EXwp5JHMd24r33lq0t3fP7w5WwY1uSbTl2Wn+eR09APrr3XOl+7znnPe+QCSEEc8wxx6xCPtMdmGOOOUYzJ8w55piFzAlzjjlmIXPCnGOOWchBI8yvv/6aVatWsXLlSlavXs2PP/7o9WcvvfTSaezZSB577DGee+452trauP322wG49tprMZlMI9qtWrWK5cuXY7Vaef/99/nXv/417jEfeOABYmJiKCkp8Xj+N998k46ODrdt1q1bR11dneeLGcZzzz2H1WoFYOPGjWzdunXctk899RSHHnoohx12GPfddx8AdXV1REZGsmrVKlatWkVnZycAmZmZrvc++ugjYOj3Ovzww1m2bJnrveE4v7tVq1bx4osvuvqUl5fHqlWruP766yd0bbMScRDQ3d0t8vPzRUtLixBCiL6+PrFjx44D3g+Hw+GxzaOPPiqeffZZj+1WrlwpBgYGvD73BRdcIPbs2eOTdqeffrqora31+txCjOzv7bffLt55551x29bU1AhJkoQkSeKII44Q7e3tora2Vpx++umj2i5evHjUe9XV1UIIIXp6esSSJUvc9sWJpz4dbBwUI+a2bds49dRTiY2NBSA4OJhFixaxZ88eVq5cyWGHHcaVV14JwLfffsuhhx7KUUcdxcaNGwE45JBDgKGn6vnnn8+aNWtYuXKlaxRbv349K1as4IYbbmDVqlUjzl1XV8eKFSs466yzuOeee3jxxRdZtWoVixYtcj2tGxsbWb58OSeccAIff/yx63Pr1q0Dhp7wg4OD417fc889x2OPPQZAdnY2F1xwAYWFhbz00ktuv5f77rvP1ZePPvqI2tpa3n//fX71q19x4403jmj78ccfs2jRIk477TSam5sBMJvN/OIXv2D16tWsXbsWvV5PXV0dhx12GKeddhqLFi3ik08+4ZtvvqGoqIgTTjiBBx54AIB//vOfo75HJ6mpqchkMmQyGSqVCrl86Db76quvWL58OTfffDPiP7t0g4ODrFy5knPPPZeenh4A0tLSANBoNMhkslHXLZfLWbNmDWvXrqW+vt71/q233srKlSv55JNPRn1m1apVbNiwgWXLlrFx40auuuoqDjnkEB566CG33/GMMdNPBm/485//LDZt2jTqfaPRKCRJEkIIsXbtWlFRUSFuueUWsW3bNiHETyOc86l8++23izvuuEMIIcSNN94o3nrrLfHDDz+Ic845RwghxAcffCBWrlw54hy1tbUiLS1NWCwWIYQQBoPBde6FCxcKIYS44oorxAcffCCEEOKss84Szz777IgRYqwn/PD3nn32WfHoo48KIYQICQkR/f39or+/XyxdutTVfqyR0NmX9vZ2sWLFinHbCSHEoYceKrq7u4XZbBZJSUmitrZWPProo2Lz5s1CCCFeeeUVcd9994na2lqRkpIizGaz6OzsFMuWLRvV37G+x7F44403xEUXXSSEEMJsNovBwUEhSZK46KKLxJYtW4QQQnR1dQkhhHj++efFlVdeOeLzV199tXjxxRdHHdf5me3bt4uTTz5ZCDE0qxJCiLa2NpGbm+v6vZysXLlSfPnll8LhcIj4+Hixa9cuYbPZxKJFi8bs+0xzUIyYcXFxrqf8cGpra11P7Z07d9LS0sIVV1zBu+++y3nnncf7778/6jMLFy4EIDExkd7eXqqqqli8eDGA69/9KSgoQK1WA/DBBx+watUqjj/+eKqqqgBGHGPJkiVTuta0tDSCgoIICgrC4XC4bfviiy+yYsUKzjzzTFpbW922dTgchIWFodFoyM/PB6CsrIwnnniCVatW8cgjj9DV1QVAbm4uGo2GiIgI7Hb7mMfb/3vcn927d/Poo4/yyCOPAEOjn7+/PzKZjNNOO43du3cDEB4eDgyte53vATzzzDPY7XZ+8YtfjDq28zMrV66kpaUFgLCwMACio6PJzs6mqalp1Ofy8/ORy+XExMRQUFCAUqlEpVK5/d5mCuVMd8AbTjzxRI466iguv/xyYmNj0ev1VFVV8eyzz3L99ddz9NFHs3btWoQQBAcH89hjj2G1Wlm8eDFr1qwZcazhUyMhBBkZGS5Dxq5du8Y8v3MqBnDXXXfx+eefI5PJXFOujIwMdu3axdFHH82PP/7IcccdN+lrHWvqNh6PPvoou3fvpquriyOPPBIAlUo1pqAVCgW9vb34+fmxZ88eALKysjjssMM4//zzAbDZbDQ3N1NaWorVamVwcBClUjnmcff/HofT3NzMpZdeyhtvvIGfnx8AAwMDBAYGAvDFF1+QnZ2N1WpFCIFGo+GLL74gIyMDGJp2v/7667z11ltjXrderycoKIiysjJCQ0NHvGc0Gtm3b59r2TOc4X2eyPc8ExwUwgwLC+OJJ57gnHPOQQiBQqHgvvvu4+STT+aaa64hKysLSZIAePLJJ3njjTew2+1ceOGFHo99yCGHEBQUxIoVK1i4cKHHJ+hpp53G8uXLWbRokeumuPHGGzn33HO5//77CQoKmvL1esuRRx7JkUceybJlywgICADghBNO4Nprr+Xoo4/mD3/4g6vtH//4R372s5+RkpJCUlISAJdccgmXXHIJzz77LADXX389OTk5JCQkcM4551BbW8u9994LwNq1aznzzDM5/fTTPfbrtttuo7Ozk3PPPRcY+k1qamq45ZZb8PPzIzU1lTvvvJPu7m7WrFmDv78/Go2GZ555BhiyyoaEhHD00Uej0+l47733eP/99zGZTPz85z9n9erV6HQ6AB5//HEAbrjhBvbs2YPD4eDmm292/f2gZUYn0rMEq9UqhBhaY1522WUH5JxnnXWWWLFixai10Fj85S9/ETk5OaK8vHza+zWe9XSOA4tMiDkn9l//+tdUV1cjSRLPP/+8a4r6v0hdXR2//e1v2bJly0x35X+aOWHOMccs5KCwys4xefr6+rjjjjvGtFDPMXs5KIw/c4xPWVkZGzduJDw8nJ/97GdYrVY+/fRTLBYLTzzxBB999BFr167lk08+4fjjj5/p7s7hJXNT2YOcv/zlLyxdupTly5ezdu1aNBoNr732Glu3bqW3t5eTTjqJBx54gCOOOGJOmAcRcyPmQc7555/PHXfcwdtvv013dzfx8fEAJCcns2fPHkJDQ7nzzjtnuJdzTJQ5YR7kREVF8fjjj+NwODjttNNc7zc0NJCQkDCDPZtjKsxNZQ9y6urq+L//+z8MBgOXX345DQ0NfPHFF5hMJh5//HH8/f1nuotzTII5Yc4xxyxkbrtkjjlmIXPCnGOOWcicMOeYYxYyJ8w55piFzAlzjjlmIXPCnGOOWcicg8FBgsFgoLW11fVqaWmhra0Ni8UyKhpfCDFmhgGFQkFMTAyxsbGuV1xcHEFBQbM+ov9/jbl9zFmEEIK6ujp27NjBrl27GBwcdKU18fPzGyGm2NhYYmJi0Gq1Yx6rurqa9PT0Ee/ZbDY6OjpoaWkZIfL+/n7X+VUqFXl5eSxevJisrCwUCsX0XvQcYzInzBlCCEFtbS07duygqKgIg8EADPm4Ll68mIULF7py5EyGkpIScnNzJ/w5i8XCnj172LFjB+Xl5TgcDtRqNbm5uS6xOvMAzTF9zAnzADI4OMiHH37I559/jsPhICMjg8WLF1NYWOjK2eMrJivMsbBarZSUlLBjxw7Kysqw2WwsXryYE088kaioKJ+cY46RzAlzmmlqauKdd95hz549BAYGcuyxx7J8+XJXOszpwpfC3B9Jkti5cydbt26ls7OTxMRE1q5dS3Z29txa1UfMCXMa2LNnD//6179ob28nISGBk08+mZycnAN6006nMPenvr6erVu3UlpaSmBgICeeeCLLly+fE+kUmBOmjxgcHOSVV17h+++/Jy8vjzPOOIOYmJgZ68+BFOZw9Ho9W7du5fPPPyctLY0LLriA6OjoA96Pg505YU6RkpISnnvuOSRJ4uyzz2bJkiWzYqSYKWEOp7KykhdeeIGenh7WrVvHqlWrZsV3czAwJ8xJ4HA42LZtG1u3biUnJ4cLL7yQ4ODgGemLJElYLBaEEEiShBACIQRVVVXMmzcPuVzuKu4zU9ZUq9XKa6+9xvbt21m2bBnnnnvuwZ+QeZqZE+YEcDgcvPjii3z99decdNJJnHjiidO6zydJEgMDAxgMBkwmExaLZVT5A7lcjlqtdgnQ+W9zczOxsbEusVqt1jE/q9Fo0Gq1+Pn5ERQUNK3iFULw7bff8tJLL5GQkMBVV101F8g9DnPC9AIhBG+//TZvvvkm559/PqtXr/b5OSRJQq/X09/fz8DAgMt7JzAwkICAALRaLVqt1usHgTdTWedoazabMRgM9Pf3u0pN+Pv7ExwcTHBw8LSItbS0lEcffZSCggIuvvjiWVvcZ6aYE6YHvvjiC5577jnWrFnDaaed5rM1kiRJdHV10dnZiSRJLhGGhIQQGBj4UyEjhx0G26C/Gfobob8J9M2IgVawGBBWAzhfNgMymxHsZhxyNXJtMEITCJogZNqfXgTEQGgyhCRDaAoExYH8J8ELIVxC7e/vd4204eHhREZG+lREX331Fc888wzHHnssZ5xxxogCTv/LzAlzHPbs2cNjjz3GIYccwq9+9SufjBpWq5X29nZ6e3uRyWREREQQGRn507GtRmjeAY3fIRq/R7SXIBtoQ6j8sOmisGgjMWsisGgjsahDsSt0SAotdrn2P/9qcCg02FFhNfYTqAalw4jSYUJlN6JwGFHajagt3WhN7WjN7WiMrcgdZqTAeAhNRh6VjSxxKSQsgZAk+M+DSJIkuru76ezsxGazERgYSExMjKua11QQQvDuu+/y+uuvc84553DMMcdM+ZgHO3PC3I/m5mbuvfdeEhISuOKKK6Z84zmdz41GIyqViujoaEJDQ4dG3sFOqPsCGr9HNHwLHaVYA5PRB2fRH5TFQEAqRlU4NvnY/rDuMJlMXhtYlLZB/Kyd+Fk68B+sI0i/j4D+clD5Q8IhKJKXQcJSiFsIKi1CCAYGBmhvb8doNKLRaIiJiSE4OHhKMwqHw8E//vEPPvvsM6688koKCwsnfayDnTlh/gchBM8//zxFRUXcdtttrkKok8HhcNDa2kp3dzd+fn7ExcUNGTmEgK4KKH8Xse9daCvGGJZLX9B8+oOy6Q/MxCKbuAjHYiLCHBPhwN/YTOhgJf69ZYQMVqIxdyClLEeRfRKyecdD4ND+pMVioa2tjd7eXoKCgkhISJiSZ5PFYuH+++9HCMGNN9447V5Ss5E5YTI0St5xxx2sXbuWk046adLHMRgM1NfX43A4iI2NJTw8HJmQoOHbITGWv4cwdtMXtYzOsEPoCi7AJpuem27KwhwDtaWbqL5dhHd9T3DPbqSI+cizT0KedQJE54JMhl6vp7GxEUmSSEhIcNUQnQxFRUU89NBDXHvttf9zo+f/tDCFELzwwgvs3LmTjRs3TuomEkLQ1dVFS0sLOp2O5ORkNBoNDHbAzucRPz6LHQXdEcvoDF9Cj18GQjb9Bo7pEOZw5A4L4f17iOj+gbCu75FpA5EvvRj5wl+AXxh2u52mpib6+vqIjIwkNjZ2UoYdq9XKfffdh0wm44Ybbvifsd7+zwqzpaWFO+64g5NOOomTTz55Usfo7OykqamJiIgI4uPjkctk0Pg9/PAUYt82+mMOpzHmOLr9Ml1GlAPFdAtzBEIirK+YhNYPCO4pQmSvRbnsUohfhBCCzs5OmpubiYiIICEhYVLr0F27dvHwww9z3XXXUVBQMA0XMbv4rxDm5s2b6evrY8OGDV796H//+9/54YcfuP322ye1luzr66Ouro6wsDASExOROaxQ/E/E939DGminNX4NLTFHY5RPPp5yqhxQYQ5DY+4kof1jYlo+gOBEFMsuQZ53BkKpcT3I4uLiiI6OnrBArVYr9957LwqFghtuuMFn+6tFRUX861//4rzzzmPevHk+OeZUmXWbRjU1NVx00UWsW7cOgHvvvZeLL76YU045hZ6eHrZv387y5cu57LLL2L59OzAUrZ+ZmUl1dbXbY1utVm644Qa0Wi0PP/zwhEU5ODhIcXEx3d3d5OXlkRQfi2znC4hHFmL6djMV0Wv5esmTVMX9fEZFOZNYtJFUJ5/D14c+RWXk8Qx+sQn7g3lI328mKiyEhQsXYrfbKSoqoqenZ0LHVqvV3HLLLRx99NFccsklE/q8wWDgkEMOYevWrSxdupTLLruMP/3pTwC8+uqrbNy4kXfeeWdC/ZlOZl0oelpaGps3b3YJ88YbbwTgwQcfpKqqCplMRkBAAGaz2VU0JyUlhfLycrdT0s7OTm688Uauu+468vPzJ9Qns9lMdXU1SqWS7OxsVAo5lLyO2P4nrHI/quddQYf/ggMyXbU6BH0WQb9FMGgT2CSwOZz/glUS2CVQCEGonw0/lQx/50sJAWoZSvn091PIVXREHkFH5BGE9BaT9s1mdF88gGL1zSQUnE1cXBz19fU0NjaSmppKUFCQ18desmQJSUlJbNiwgRtvvJEFCxZ4/Mw999zDmWeeCQx5NVmtVuLi4gA444wzuPXWW/nlL385uYudBmbtVHbdunVs2bIFq9XKddddR319PX//+98JCgpCLpfT3t7Ohg0beOmllzweq7i4mAceeID77ruPyMhIr/sghKC+vp6BgQEyMzPRajSwbyvik7uwOSRqks+hPXgRvv4CJSFoGpCo6pOo7ZfoMkn0WYYEabJDoApCtHIC1HLUClArZKjkMhRIaFUKlAoZAyYrVqFg0Cow2ASDVskl5FCNjEg/GRE6OZE6GRE6GVF+cpKD5KgV0yRaIQjv3UVq3UtoZHYUR9+KPOc07JJEdXU1kiQxb968CfkeWywWfv/73/Ozn/3MrTX9o48+oru7G7PZTEREBGvWrEEul3PWWWfxxBNPTGlrbLqYdSPm/qjVah5//HFeffVV3nrrLS644AIAQkNDsVgsHj//r3/9i6+++oq//e1vE9oPMxqNlJeXEx8fT0pKCrSXIt65FsdAB7Up59ASeigC39zEFrtgb4+Dqj6J6j4HNf0S/ioZmWFKUgPlHJ4cQFSQltgQP+LCAgj090OtVqNWq1EoFC7H9eFrtpKSEnJycpAkCbvdjs1mw2630zNgorajn7rOAZr6TDT1mmgchJZBKx1GicQAOWkhcjJCFGSEyInQyXzjhiiT0R22iO7QhUR0f0faB39Euf1+lD//K/PnL0Kv17N7925SU1O9to5rNBoeeOABHnvsMe6//36uv/76Mfu6fft2DAYDZWVl6HQ61qxZAwzdQ2azeerXNg3MuhGzu7ubP/zhD3z00UdcfPHF9PX1YTQa6e3t5S9/+QtfffUVH3zwAX19fVx++eWsWrVqzOMIIfjzn/9MaGgol112mdfnd46Sg4ODzJ8/H5WwwWf3IH58hsa0c6mLPh7JB4LsM0sUdTrY1eFgb4+DhEA5WWEqsiI1FCaGkJ0cQ1BQ0NDWyySYSDymEAKbzUZrVx9fV7Syq6GXfV1WqnrtKGWQEyGnMFJJboQCf5WPRlThIL71I1JrXsSx8Jdojr0NSaGhuroah8NBZmbmhEbPDz/8kHfeeYd77713XKPXc889h0Kh4KOPPkKr1RIWFsaf//xn31yPj5l1wvQFJpOJ66+/njPOOIOjjjrK688NHyWjoqKg6t+IbRsw6uLZm3Yxg8qpTXm6TBLftNjZ1eGgaVAiN0LJIbEaVmSGkZOWSHBwsM+cuKcaKC2EwGA0UlTTxr9LW/muyUBlj520YDkFUQoKIpXE+U99NNWYO8mqfAJ/ayfK055Annoker2eqqqqCY2eMBSYfdddd/HnP/+Z2NjYKfVrpvmvE6bBYOCqq67ipptuIjMz06vPCCFoaGhgYGBgaJS09MEHNyFVb6cq8ze0hh466XWkEILyXomP6m2UdjlYEqtiWYKOVdkxpCTE4efn59OofufPWVJSQl5enk+P29zZy3s7a/miupdd7VaC1bAqUcXhcUr8pjKSCkF0x2dkVG1GWnAqmjX/h6Tyd42ezoBvb+jr6+Oaa67hzjvvJCkpafJ9mmH+q4Sp1+u5+uqr2bhx49C60AskSaKsrIzw8PChp2zVx4g3LqUn+ggqks6dtO+qxSH4tsXOxw12jDbBcWlaTs2PIm9++qT2F00mE3q9HpPJhNlsxmazjWozXOBdXV2Eh4ePeSylUumK7wwMDMTf33/CDweD0cSbP1Tz2s4W9nXbWBqj5KhEJanBkw8cV1n7mF/9FEEDVSjOfhFF0lL6+vqoqakhJyfH62n9wMAAV199NbfeeitpaWmT7s9M8l8jzN7eXq699lruvvtu1zaKJywWC6WlpWRkZBAU4A/b/4T0w2Yqsq+lLWhy3iUmu+Cjehsf1tlIDFKwJsOPExcmk5QQ79WGuBACs9lMX18f/f39LgFqNBqCg4PR6XRotVpUKpVbMbmbytrtdsxmM2azmf7+foxGIzCU0SA4OJiQkBCvxSqEoKy+nWc/r+Dj6kGCNTKOT1FxaKxiyBNqEkS3fUJm1Wako25BffhlWKzWn34nL7dVjEYjV155JTfeeCNZWVmT6sdM8l8hzP7+ftavX88ll1zCihUrvLqh+vv7XU9itaUH8fpFWA16iudvwKCcuM+s1SH4d4Odd2utzAtVcnZeEKsXziMsLMxjf5yxjh0dHdjtdvz8/FwCmWxkxWTWmHa7Hb1eT19fH4ODg8hkMsLDw4mKivLqoWI0W3j1q308810rdklwSrqKJTGTE6j/YB25ZfdAwlJ0655AUmpHzmy8oLy8nDvvvJONGzeSkZEx4T7MJAe9MAcHB7niiiv4v//7PzQaDe3t7SxYsMCtGFpaWujt7SU7Oxt53ReI1y+mM3YVFYnnYBcTM77YJcFnTXbeqbaRGCjnnLwgjl+S5XFvzGq10tHRQU9Pz4QF4A2+yJK3/wMjKCiImJgYj1Nxu93BK1/tY9OXjSAEp2SoWBw9cYEq7AYWlD9KgLUT1S9eQRaRQV1dHXa7nYyMDLe/cV1dHQDR0dGsX7+e22+/3evlzWzgoBam0Whk/fr13HHHHSQnJwNDa6vxxCmEoKKiAo1GQ0pyMnz1MOLLB6nIvobW4EUTPn9Rh52/77USrpNzTm4AJy3NGgr1GueGcTp0t7W1oVQqiYmJ+Slo2sf4On2lMzi6ra0Nk8nkGrncbWnY7Q5e+qKMJ79qRikTnL9ATWboBNegQpDY9CbJDW8gTnkcVe5aOjs7aWlpIScnZ8wHmVOUTiEaDAbWr18/oWXOTHPQCtPhcHDZZZfx+9//flRVq7HEKUkSpaWlxMbGEhEeDh/dhqPkTXbl3c6gKmJC5+6zSPxjr5XKXolfFfhzxmHziImJGVdgVquVhoYGDAYDkZGRxMTETHtum+nMKyuEoLu7m5aWFlQqFcnJyW4zPdjsDp76eA9//aqFw+IUnJ6pRquc2MMopHcPOWX34Vh1E9ojLsdgMFBeXk5eXt6IULD9RelEr9dz5ZVX8vDDD08pRvRAcdAK89Zbb+Wkk07i0EMPHfPvw8UphGDPnj0kJycTEhQE716PreYLduXePiFncyEEnzfbea3cymHxai49LI7CnPnjTj+NRiO1tbUAJCUlTal610Q5UAmfzWYz9fX1mM3moe83JGTctk3dA1z/8vfUdFu4MEdDTsTERk//wXry99yBY+Ev8Tvudsz/Md7l5eWhVqvHFaWT1tZWbrnlFp588slZX7HsoBTmCy+8gEwm4/zzz3fbrquri7a2Nux2O6mpqQQH+MGb67G2lrIr51ZMMu+3LTqMEs+UWBiwwmWLAll7RN64SZ4tFgvV1dXIZDLS09NnJDXGgc7E7nA4qKurw2AwkJaWNm71MiEE//iynHs+rqEwUsFZ89UT8ibSmDsoLN6ISFuF32mPYbHZKCkpISgoCJVK5XEd+cMPP/DWW29x1113TeDqDjyzLuzLE9999x1VVVUeRQkQFhbG4OAgQgiC/NTw6gWYO6rZkbtxQqL8oc3OHd+YyIlUs/nMTM47/vAxRWm326moqKCyspLU1FSys7P/Z/LVKBQK0tPTyc7Oprm5mdLS0jH9UGUyGectz+Kj61YiU6rZ+I2Jer1jjCOOjUUbxc7CP+Fo+AHji+egUUBwcDCtra1eWWuXLFlCTk4Ozz///ISu70BzUI2Yzc3NbNy4kU2bNnn0o5QkiT179pCamorVOID2jQuQKVQUzd+ADe/SU9gkwT/3Wfmx3cE1SwI5Y9XCMUcCSZKor69Hr9eTlpZ2QKes4zHTtUucoXJOwY6XEuSpf5fy4PZ6zpmvYnmC92lDFHYTuWX3IJfL6Tv+cWIS01zeTt48DO+44w6OPfZYDjvsMK/PeSA5aIRpMpm47LLLeOSRRzzWCXGuKZOSkggJDIDXLqC/t4vvUq5GpfXOBa7TKPHX3Rb8VDJuXB7FEYvzx1yXDAwMUFlZSXJy8rieNjPBTAvTyeDgIJWVlSQkJIwbcvdDVTvr/7GTBWFyzstWex16ZjMbKKh4ED+NioCL3sJsH/Li2t8gNBaSJHHZZZdx2223zUpL7UEhTCEEV199NVdffbVX/q9lZWXExMQQFhoKb12JuaWEHQtuwWSXYbPZ0Gq1bsVZ3Gnnb8UWjk3VctXqDFKSk0a1lySJmpoabDbbhOMIDwSzRZgw9PvV1dVhNBqZN2/emKLpHjBxybNf0z1o5YpCDZF+7ldZVqsVAK0C8kvuRBkcQ8AvX8FksbJv3z4KCgo8Wr71ej1XXXUVTzzxhE8SV/uSg2KN+cgjj3DyySd7Jcr6+nqCgoKGNvg/ug1bww/syr4JG0PVrlQqFWazmfGeR9+32Xmy2MJVSwLZuG4JqSnJo0Q5MDBAUVERYWFhZGdnzzpRzjZkMhmpqamkpKRQUlJCZ2fnqDbhgTpeu3I1q7Miues7M3X94687naJUq9VICjV7cm5C6qln4J+XoNNqSU1NZd++fR77FRQUxG233cZNN900+YubJma9MEtLS+nu7ubYY4/12La7uxuTyTQ0NfnyoaF9ytxbRziiuxPnV802Xii18PvDg7nwuENH+WUKIaipqaGpqYmCgoJZGfk+m/H396ewsJDBwUFKS0vHqD4m47bTDuGGYzK470cLezrto44xXJROHEo/ivNuRd70A4NvXk/If4oh1dfXe+xTeno6y5Yt4/XXX5/i1fmWWS1Mu93Ovffey8033+yxrdFopLGxkfnz58POF5C+eZxdeWPvU44lzu2NNl4pt3LLkSGc9bOloyIZHA4HJSUl+Pv7z42SU8A5eiYmJrJ79+4xs1D84sh5PHhGHpuKrXzV/FMUzViidGJXBbI7fyOKim0MfnAn8fHxmM1muru7Pfbp7LPP5uOPPx5zJJ8pZrUwH3zwQdavX49W6z70ym63s3fvXnJycpA1fIP48FaK8ze69egZLs6P6qz8q8rGxhVhnL566agf3mw2s3v3blJSUubKlvuIoKAgcnNzKSsro7+/f9Tfj81P5PlfLeHVChvbaqwuAbuzuFo1YezO/yPqnc9g+PFl5s2bR2Njoyt6ZjxkMhkbN27kjjvumNpF+ZBZK8ySkhIGBwfH9exxIoSgtLSUrKwsVOYexGsXUpl9FX2aeI/nUCqVfN4qZ1uNjTtWhnLKqiWjDBO9vb3s3buXvLy8WbEN8t+EWq2moKCA5uZmmpubR/39kLRI3lh/JJ832XmzRvJqG8Ssi6Z0wW/RvP9bbG37yMnJYe/evdjto6fFw4mOjmb58uVs2bJl0tfjS2alVdZut3PxxRezadMmj6NlVVUVwcHBRIaFIl44mU5VAmUJ53l1ni+abLxWYeO2IwKYHxdKbm7uCENPU1MTAwMDZGVlTYuj+WRwOBz09/djMBgwm82uMu9OnP3s6uoiIiJixN/UajVardZVlHY2lRtwuvXNmzdvxHddV1dH56CVK/9Vw/J4OSeleeewkdjwBrGdn6O98ktMdhnV1dXk5eW5/R2FEFxxxRVs3LhxKLXMDDIrhXnvvfeyatUqli5d6rZdf38/bW1tQ+vKD2/FXPUFP+bcjl14FtH3bXZeKLVw2/JQTls9FCk/3PG9trYWmUw2o6FCzoiOrq4uDAYD8FMws7PKtEajGfNm23+7xFnu3WKxMDg4SH9/P3a7HSEEOp2O8PDwaYt08ZbOzk46Ojpcv8Fw39f6rkF+/vgXnJiq5GdJXjxQhCC39E+oAsIIvuBlWlpbcTgcJCYmuv1YR0cHGzdu5K9//asPrmjyzDphlpSUsGXLFjZu3Oi2nSRJFBUVUVhYiHzfVqStG9ix+AEMCs8R7sWdQ1sivz88mLN+9tOa0un47swQMBM5Y/aPgQwMDCQyMpKAgIAJicbbfUxnxoSuri5XQV1fx4ZOhJ6eHpqbm13XO/zBuK+1nzM3fcVZ81QcEe9ZnErbIIt3/hbb0ssJOuoaiouLmTdvnsdZ2KuvvgrgShA9E8wqYQohuOiii3jiiSc85ncpLy8nOjqaEEc34qnVlOXdTKf/fI/nKO9x8MguM9cuDeKXx462vhYXF2M0Gjn00EMP6OjR19dHc3MzkiT5pKT6ZB0MhpegdzgcxMTEEBkZeUC/i7KyMnp6ejjiiCNGnbeovptfbP6OX+WoWRzt+cHhP1jLwqJbsJ27BUXCYsrKyigoKPB4PZdddhn33XffjNkVZpUw33rrLex2O6effrrbds5p5/zMTMTzJ9GqzaQi9ucej99hlPjjNyYuXRjARccvGeXtUVtbi1KpRKfTeZUJYapIkkRzczPd3d0EBweTkJDgs3WfrzIYtLW10dHRQWBgIElJSdO+LnVOX4OCglzB0Pv/Bl9XtvObF3bwuyUakoI8b1vFNb9HQtuHaK/+lvauHux2u8cpbUVFBa+99hp/+MMfJn0tU2HWWGUdDgdvvfUWp512mtt2Tle4zMxM2PUidn0HNXGneDy+xS54ZKeZNelaLjxm0ShRNjQ0IJfLSUxMJCIigujoaMrKysb1EJoKkiRRV1dHcXExWq2WgoICUlNTZ5UxBobWs3FxcRQWFhIZGcm+ffsoLy8fM0OfLxi+pgwLCyM2Npa9e/eO+g0Oz4zmt8dm8vhuK0ab59+nJe44bHINfe/fTWxsLL29vZhMJrefmTdvHr29vXR0dEz6eqbCrBHmCy+8wPnnn+9xhKqsrCQ9PR25oQPx8e3sm7feY54eIQSbSyzEBii45pisUdOTrq4uV6Cvk+kQpxCClpYWdu/eTUBAgOuGny0WX3cEBQWRl5dHXFwcZWVl1NTUjPLcmQpjBTk7DVLOvw3nwiMzWJgYwrOlVs+/j0xO+bz1BO1+GktbOVlZWZSXl3v83IYNG3jggQcmeCW+YVYI02w28/XXX3vMmt7f349MJhuKLnnvRrpiV9Ot85w39P06O02Dgt+vTiA+fuT+psFgoLm5eUw/XF+Ks7e3l6KiImQyGYWFhURETCydyWwhMDCQgoICQkNDKS4upqWlZcrHdJd5IDY2FrvdPsorRyaT8ZdzltBukvFxg/s9SgCjfxLNcSdgeeNKVEol0dHRNDU1uf1MXFwcarWampoar6/FV8wKYT7xxBOsX7/eY7va2tqh/D773sXR8D1VSWd7/Expl4OtNVZuOiKUhbnZI/5mt9vZt2/fmOsYJ1MVp8PhYN++fXR1dVFQUEBsbOxBMUJ6IjQ0lMLCQiRJori42OUuN1E8pQMByMjIoKWlxbVl5MRfo+TpXy3jzSobVb2eR+/65DNRDTTS/81zxMbG0t3d7XHUv+6663jooYc8HtvXzLgw+/v7qa6uZuHChW7bdXZ2EhYWhsJmQGzbQEXmZVhwv9k8aBU8WWxh/aIAjjti0YgwIKfHUHZ2tsdtgcmKs7e3l927dxMXF0dmZua0J+A60MhkMhISEpg3bx5lZWUTHj29EaXzPDk5Oezbt2/U+nZeTBAb1y7gyT1WLA73v42k0FCReRl+n/0R+0AXKSkprpxM4xEaGkpSUhK7d+/2eD2+ZMbvlIceeohrr73WbRshBE1NTUOWtK8fZTB4Pu3BhR6P/dJeCwujlZy7Kn+UO1dFRQUJCQlex+FNRJxCCCorK+ns7KSwsHBCRVkPRpwGLIfDwZ49e7xae3orSifOosGlpaWjvv91hyQzPyaQd2o8T2l7wwrpDcmjb+uthISEYDQaPRqzrrjiigPucDCjwuzq6mJgYMBjlmxnPheZsRvx3Saqks7xeOxdHXb29UhceUTcqHSF3d3dKJXKCWcc8Eacdrud4uJiQkJCJlQM52BHJpORmJhISkoKRUVFbq2eExWlEz8/P+Lj40cZg2QyGX8+YxGfNNhoGpA8Hqc29ReEVL+Jub2K9PR0qqur3bbX6XQsXryYr7/+ekL9nQozetc8/fTTXHrppW7bSJJEe3v7UFTHlw/SF3M4/eoYt58x2ATPl1q5ZGEAi/JGryvr6+snXWzGnThNJhO7d+8mIyNjQpWr/5sIDAwkPz+fffv20dvbO+rvkxWlk8jISIxG46j1ZkKoH1esSueFMiuShxmNWRdNW/RRGN69FX9/fxwOh8cCtr/85S+9ql7uK2ZMmDabjbq6Oo9ZCRoaGkhKSkI20IbY8RzVCWd4PPbL+6zkRio5c3nOqLjJioqKUY7SE2Uscfb29lJeXk5+fj7+/v6TPvZ/AyqVisLCQtra2kZEjUxVlE7mz59PRUXFqAfjJasyscuUfNHsnSEouPkzDHU7R42a27dvZ/ny5Vx22WVs374dGJquR0VF0dDQMKW+e8uMCfONN97w6OFjt9vp7+8fmnJ+cT898T/zmDW9rNvBni4HVx4eM2qq2t3djUajGTfn6UQYLs6uri5XVoPZ5iQwU8hkMrKzszGbzTQ0NPhMlDC03kxISBg1pVUp5Nx75kK2VFjRW92PmjZ1CE3xJ2F9/1a0Wi1KpZLBwUFX3wMCAjCbzSMSdf3mN7/hqaeemnL/vWHGhPnxxx9z9NFHu23T0NAwtOnfW4/Y/Qo1Ce6FLITg9QorZ2brOCR/wYi/TXUKOxYRERFotVpKS0vdbrn8L5Oenk5HRwfd3d0+jdQZb0p7SEo4R82PZFutZ0NQY+KpBHQX01/2b9LS0lwW2uXLl/Pee+9xzz33cPvtt7vax8XFjShbOJ3MiDCLi4vJz8/3GBun1+uHUu5/8Rc6E0/AoHCftrKky0G/VXDGIcmjtkAqKyunPIXdn56eHoxGIwsWLBjTdWyOoelrREQEoaGhNDY2+vTY401pf3diLl802eg0ujcEOZR+1Cetg0/uRqlUolAosFgsLoNdaGjoqNQnZ555Jq+99ppPr2MsZqSAw0svvcTvf/97t23a29uHglWNPYg9W6hf5t5cLYTgX1U2fj5fR3pq8oi/OZ9wvpjCOhkcHKSxsdH1gJHJZJSVlU274/twbDYb/f399PX1YTKZkMlkrpu0u7ubPXv2AEMB0iEhIQQHB3sMefIl+09fKysr6ejo8FkQslKpJDIyko6OjhEpX+JDdJyxOIG3atq4ONf9Xndr7LGk1L2Cvq6I5OR51NfXU1JSwgcffEBfXx9XXnnliPZHHHEEL7zwAhdccIFPrmE8DrgwnaXKPVVcamtro6CgAL56iIHopRgUIW7b7+lyoLcKzjwkeZTBp7q6eiiY2kfYbDbKy8spLCx0idDpYjdd4hRC0Nvb6xqlZTIZSqWS4OBg4uLi0Ol0I845PLrEYrHQ19dHfX29awTQaDSEhIQQGRk5LVs6Y60pMzIy2LNnD35+fj57SMbHx1NUVERUVNSI67/mmCyW39NM44BEYuD41+dQ6miPXoHy6yeJPm8TJpOJU089ddxgCplMRlZWlut3ni4O+FR2y5YtrFu3zm2bwcHBoVLjkgPx/VM0xJzgtr0QgjerbJw234+0/UZLvV6PVqv1WQ0RIQQlJSUsWLBg1ANgOhzfjUYj5eXlFBcXYzAYiIuLIy8vj7y8PLKzs4mLi8PPz312eY1GQ3R0NPPnzyc/P5/8/HxSUlJc11JaWjpmQqzJMp6hx+nBU1FR4bMIFZlMRnx8/Ci/1zB/NRcfmcIbVZ7Xmq2xxxFW9y5W0yCxsbG0tbW5bf/LX/6SF198cUr99sQBF+a3337LkUce6bZNY2PjkJdP+bvYlAF0+c9z2760WxoaLZeMHi1rampITU2dcr+dlJeXk5ycPG5VZV+Js6enh927d9PY2EhSUhIFBQUkJiZ6FKG3aDQaYmJiyM/PJzMzk56eHoqKimhtbZ1Svz1ZXxUKBdnZ2ZSUlPjs4RUZGUlXVxeS9NOa0mAw8Pdbfk1Fp5maPvfbJ4OBaZi0UfR983ciIyM9prGMiIhAr9ePOJ+vOaDCHBwc9JgiQ5IkrFYrWq0W8d0mGuNOBA834of1Nk5M15GaMjIVSHd3NyEhIT5LkeFMO+Ip0fNUxNnf38+uXbsYGBggNzeX+fPneyytPlXUajWpqalDSwegqKiI9vb2CR/H2y0RnU5HcnIyVVVVEz7HWMhkMpKTk0dsn9xzzz2cte7nHBkL25s9C6gl7ng0JS+7+re/tXd/lixZwo4dO6bUb3ccUGF++OGHHjOqt7W1DZVTaytBtJfRFnGE2/atgxKVvQ5OLYwZNVo6RxtfYLVaaW1tHRGz6Y6JilOSJCoqKmhtbSU/P5/k5NGj/3Qjk8mIjY2lsLAQs9lMSUmJ11POie5ThoWF4XA40Ov1k+zt6OMNDAzgcDj46KOPWLBgAVFRURwRK+eHVhsGDwHVHVFH4q+vpL92J4mJiR4tyGvWrGHbtm0+6ftYHFBhfvHFF6xYscJtm66uriF3tqJ/0Bl/DDYP9qmPGmysStKwIHPk/mRfXx/BwcE+M2yUl5czf/78CU0jvRWnXq+nqKiIyMhIsrKyZjzLu3MESksbKm3nKYp/ss4DmZmZVFVV+WxKmJiYSFNTE9u3b+fbb7/lH//4B6+/+BSHJIfwXZv7c0gKLe1RKzB/+ww6nW5UWtD9iYqKmtbM7QdMmA6HA4fD4dYzRpIk19aDqHifjrAlbo9psAm+brZzyoKQUUm1XOtUH9DW1kZQUNCkppTuxClJEpWVlbS0tLiCj2cTfn5+FBYWYjKZxh09p+LRo1AoSE1N9ehE7i2hoaH09vZy11138dBDD3Huuefym9/8hvMPT2N7o83jzKUz8giCmz7F8Z/shE5PoPFISkryqj7KZDhgwvzuu+9YtmyZ2zbOJMV0VSEM3fT4uY86+bzJTk6EksPyRvrbWiwWFAqFT9aWdrud1tbWKU2JxxKnzWajqKiIiIiIWTFKjsfw0dNpGXbiCze70NBQ7Ha7RxF4gzP1prNeyYUXXshJJ53E6qwoTA4Z1X3uR82+kAUobIP0VnxDTEyMR+vs2rVr2bp165T7PRYHTJjvvvsuJ5zgftujs7NzaBpb+QH9UUsQMvfd295o48RM/1GFbH25tnRmTZiqJXS4OM1mM8XFxWRnZ8+6UXI8/Pz8KCgooKKiAr1e71Pf14yMDJ+l74iLixsVsK1UyDlraTJftnqYMssUdEUsw7b7Nfz8/Dy63jn3M6eDAybM3t5etzehEAK73Y5SqURUvE9n6CK3x2szSAzaBKvzRgpQCIHBYPDJBrbVasVsNvss0DkiIoKwsDC+/vprcnJypt3a6muUSiUFBQUUFxdjMpl85vuqUqnw9/enr6/P9d7evXu57LLLWLduHU888YTXx3LOlPZPdfLzRQn82GbDLnmazh5OcPN2HA4HGo1mzGpkTmQyGYGBgT4zYA3ngAizurraYzC0Xq8fGvnM/dDwHT2h7lON7Ol0kBepIiZ6pHtXd3e3z+pWVldXD+UY8hE2m42Wlhays7Oprq4+KH1rGxoaiI+Pd5Va8BUpKSkjtjuys7PZtGkTr776Kl999dWEjpWQkDDKqpoeGUB0kJZ9ve6/876QXFTmHvoqvyM6OtrjttHxxx/PBx98MKH+ecMBEeZnn33mMQNeW1vbkL9j9aeYwhZglrkfTYq7HCyK0Yzy/Wxvbx/abpkiJpMJIYTPSoDb7Xb27NnDggULiI2Nnda8tdOFUzipqank5eVRUVHhMT+rtygUCsLCwkZYOt9++21OPPFE1qxZM6FjBQUFjfnQOLkgnh0d7qezQq6kK+JQrLu3EBISMmIUH4vDDz+c77//fkL984YDIkxnWJQ7zGbz0NSu6mO6PYyWVoegvMfBkRkjR8bh0+GpUldX53OPoXnz5rmmr9OdVNrX7L+mVCgU5OXl+TSqJiEhYcT6cO3atbz33nuTyhygVqtHTWdPKojjx1bP09muiKUEtH6NEAK5XO42h9FY5/EFB0SYNpvN7TaJ3W53/V3Uf0VviPvU/vt6HMQFyMlKGZkjdmBgwCfrQbvdjs1m89kasLOzE51ON2rde7CIczxDj0qlIjk52WeGG7lcjr+/PwMDA2zfvp2rr76aSy+9dMIjJjDmNDQjKpCIQDUVfe6/a33QfPz01Rj0fYSEhHj0I/Yk3skw7dEldrvd41ZAf3//0PpyoA30rfT7uR+p9nQ5KIweCmUaTltbm0/2Lpubm0dErk8Fu91OU1MThYWFrveceYycxVS1Wi3l5eU+TUmiUCh8Ev/onKrqdDrX8ZT/SZgsl8sJDw+nvb3d5W45VZKSkqisrGTVqlWsWrVq0scJDQ39KbPiME4uiGdnTRMLwsYfk2zqEGyqEAZrfyAk8wg6Ojrc2i2ysrJc+Yl9xbQLc+/evR7DY/r6+oiJiYGa9zCE5+LwMJDv7XZw8eLAUV49JpPJJ6Ncb2+vz7ZbnFPY4dst7e3tBAYGjriRbTYbdrsdrVbrEyd1X3wXw0PEhjM4ODhiLT9v3jyKi4tZuHChq+9vvvkm27ZtQ6/Xc9FFF3l0xXSiVquRJAmHwzGlvV2no8r+xzksPZK3dtTj6dbXB2Vir/8O/8JjPfrNLl68mJ07d/pUmNM+ld2xYweLFy9228ZoNA4ZWeq/pi/IvYgHrIJ2o2BZRvSI981ms0+CgAcGBggMDPSJODo7O/Hz8xs1Etrt9lGji0qlQqlUYjabJzytda6tLRYLJpMJk8mE3W7HbDZjs9km5fI2nihhKOB8eOl0pVI5akp76qmn8tRTT7Fp0yb++c9/TujcsbGxtLa2TrjP+xMREeFyNnCSlxBM84DdY3LogcAMNF2lXt0HeXl5rqB0XzHtI2ZJSQnnnnuux3YymQxR9yV9KRe5bbevx0F6iIL4mJHbJC4f2ynS2trqk2msw+EYNYUdi927d49InegUpacbQqPRkJ2djcPhQCaTufbvnCOFyWRCpVLhcDhcfp9yuRyVSuVxJHInyvFwTmkNBsOIB9Fdd93FFVdc4fVxnMfas2fPlH+HyMhIKioqRmRMCNAoSQzV0TQI6W4y1eiD5hFT9Rl2ux25XO7WqKjRaHxuAJp2YVqtVrdByq41qKELeuvozXG/b7ivx0FOpGrUiNPf3++zbRJfbJE0NTWRnJzsUWBms3lSWw5CCJRK5SjxWK1Wrr/+etdIee6557rWas6QOovFglarRS6Xc8MNN3Dfffe5Pj8ZUTpJT0+nqqqKnJwchBD8/ve/54QTTmDRIvfOIvvjfLhIkjSlIASlUjmmUaYgIYS6gT7Sg8f/bQYD0tEZmtD3dhAcHIxer3e7zhxr2jwVpnUqOyHDT8suzKHzcMjcPyvKexzkx+hG3fCSJE35SzGbzZO6IffHmQbEV44OY+EcJffnqaeeYs2aNTz44IP87W9/o7+/nxtvvJELL7yQvr4+3njjDa655hquvfZa9Hq9KzPcSSedxJ///GcuvvhiysvL6ejo4KyzzuLWW2/16OPsxPndWa1WHn30UT7++GO2bNnCpk2bJnx94eHhdHV1TfhzY7H/0qAwKZTafk+JunSYdDEYqr/1aj9z3rx5VFRUTLWrLqZ1xGxubvZoJe3r6xtyLGhpwKhxn6RJP8760ldbDe3t7UNGqCniy4RTE6W0tJSzzjrL9f8ajQZJkrDZbHz88cdUV1dTUFDAKaecgk6nw+FwIIRAkiSuueYaqqqq2Lp1KwEBAaxfv56VK1fy+eefe31+pwfP1VdfzdVXXz3p64iKiqK8vHzK36Ofn98oF838xBD+tt2Bp9vf6BePo7MSf/+fezQAZWdnU1FRQXZ2ttt23jKtI2ZraytxcXFu2xiNxqE1ib4Zi8Z9MufWQYm4ADmx0SPXkvuvayaLyy1wirS1tflE4JMhJydnRGT9ww8/zP3338+xxx6L0Wjk1ltvZfny5dxwww3U1dUhl8sZHBxEo9Gg0+lQqVSj/EMnYgjz9/d3eU1NhfGmoRNlrH3I7Jgg2gbtWD0YgEy6WBT9DV5dv68MVk6mdcR0FgPyhEwmg37PwuwxC8J1ilHW176+vlF7mpNlqtZYi8WCWq32em3kyZI8/AYf3rfxPveb3/yGDRs28K9//QuZTIbZbObuu+9m7969HH300fztb3+jsrLStQcphEClUiGEGHGuU089lfXr17Nly5YJi8wZejXV4rwqlcqjc4ongoODaW9vH1GwWKdWEO6votsMsW6e5yZdLOEDe706T2xsrE+K+DqZVmG2tLS4Uih6QvQ3YQ51n2KyxywRppOP+qH0ev2URyir1eqT8gZNTU0TsiY68+yM1ycY2tvzdp9TrVbz2GOPebWPabFYePnll9FoNLz++uuYzWaysrLYuHEjDoeDxYsXU19fz9lney4QPJzY2FjKysqmLMzg4GD6+vqmZG0fb+RNCfeny2zzKExN27+x2+2unL3jffeBgYEMDAxMup/7MytGTBgSpiXG84gZGaAY9eU4HI4p+8e6jFBTxGAwEBgYOOXjSJKE3W53WYidDw3nfq0vRnb4yWCjUAx9r85tAYVCwcaNGycVYaNQKHyy7g8JCaGlpWVaKqelRgbQYeoBxv8eTbpYtMYWzGYzarXaZc0eC1/nEZ7WNaanuEjXE0iSkA20YFK7t2L2mAURftMT6e+r6bCvfqCxHCam4oQwnPG2RJzxh74QlUaj8VjazhM6nc5n0Sv7X1NKhD9tBveWWYsmHIXDjKmnBa1WO+XrmQjTKkxPN6nFYhm6OUw9Q/8vd2/A6TULogOnvp0xFr7wHPLVdotzm2msdepUxelun1Imk7k2y51FmIxG46SMGt44f3vCVw85lUo1wlMJhqay7R6EiUyBWRuNpXUfWq3WbdC0r5lWYXq6cVxiMPfjUAd7zB/bZxHEhIxcN/kyKmOqN4KvRl2bzebWKWOy4vTGeUChULiWBsnJyeTl5U3KccObvb8DxVijXWKoH10mz66KNlUA9oFOr0ZMX0aZzGhFadcIY9EjqTx72xhsgsigke2marXzJc6UmVPBW5c8b8Xp/Ju3Hj1Ox4X9R5iJ4ikth7f44mYfa1odpFNisnt+qDkUOrAavBJmdHS0x1Sf3jKjwnQtpi0DOJTuhWmXBDYJQvxH3li+cl73BVardcpTWW+8pZyMJ862tjZWrVrFPffcQ1tb24Td7JRK5ZSF6St8MYUcS1R+aiUmD0mgwSnMQdfWjTsiIiJ85q3kU2G+/vrr3H333ZhMJleOWHe4fAstA9gV7oVptINKDv66kSJ0rVOngK98HCc6FRZCYHNII15mqw0J2aj3x3o59yD3F2dRURFnnnkm+fn5LrfAiXxHcrncJ0mYnds8U8EXRpexxO2vUWC2S0gelgIOhRaZ3ejVbzvWWnY8hmtlLMbdY6ipqeHuu++mv7+fLVu2cNddd1FTU0Nvby+PPvoooaGhrF+/HrVazapVqzjvvPPYsWMHZ599Nl999RUrV670OMV0WWUtAzg8CNNkE/gpR/uH+sJH1hfingx2SZD5h/cm/fnKu09ApZCN2kopKiriuOOOY9u2baxevXrC1+Yro4tz5J3KUsO5TTEVxnrQ6FQKZIDFATo3O20OhQ65zbsK0u5mGgaDYYReSktLXVoZq7L6uF1KS0tj8+bNrpJ5paWlvPzyy7z88sv8+OOPDAwMsG7dOk4++WTOOusszjvvPAoLC3nrrbf47W9/61XuHdeoahnArnS/GW6yC3Qq2ahjOsOZpoK7jePpRCmXUXn3yFy7rthULz/vZLg4KyoqWL9+PTC5KBHwjTidhqSpIJfLp2zgG17Qd/h7fmoFVg/CtCt1KO1Do5qnfrgT5htvvDFCL6effrpLK2Mey+2ZhnHUUUexevVqJEninXfe4bHHHiMvLw/ANWKdeeaZrvYDAwMeRzKXqCwDQ3N5Nxjt4DeOMKd6E3kz7Z4OZDIZKsXI86qVClSKyT1onOJ86KGHXIVtJ4vTuX0q34szpG0qKUdsNptP0mT29vaOes9gddBmhGA3z66QvjL8TU3AEx6tzM4ShocddtiovzU1NY3Qy3CtjIXXv9w777zDJ598wldffcXmzZtJSEhwBQKPtR6RyWTo9XpKSkrGPWZvby9Go5Hoji4cFpPbzWSHTWCzCyoqKkbccAaDAblc7jGdvTusVismk8ljBIEnuru73V6vE4VCMe612u32KW2qO0coh8PB1VdfPeljSZLkKh8/FoODgx6vta+vD4PBMKmSfk5MJhNWq3VKgcgOh8NVf2V/7FYTJpMb7x9FADJVGA0lJVitVrfXPDg4OK7Xlye97M+4wuzu7uYPf/gDu3bt4k9/+hM5OTlcdtlldHZ2ctttt5GRkcGVV17Jtm3bOPnkk0cfWKnEz8/Pra9sVVUV8fHx6KQserpK3Pp2hjskDHYzGRkZI57AbW1tKBSKKbltOW+etLQ0z43dsGfPHq98gxsbG8e9VqPROOlcPRaLBblcjkajwWAwIJPJJu2+5ymnbkBAgMeQvpqaGqKioqY0YnZ3d2OxWDxGKbnDarVSW1vL/PkjfbH91U0khunQqcafoloCk3GEppObm4sQwu3vW1ZWNu4+9mmnneZWL/szrjDDw8M9Brg+++yz4x/YC5O7a+6vC0Vpcz9dCVDJGLSKUVY+X6xBfGWF9BWTmULuvyUil8td1lpfJfiaKL4wzDkcjmmxIQghMNkcqGXu7x25ZEEovXuwuDN0+fv7u9XLqPN63XKCeLNJ7RKmNgSl3b0w/VVglWDAONJC58zHMhV8tRnuCxQKxYQfEuPtU07WQ8hX3lS+iNiZru0wi11CEqBWuL9WhcOKJB86v6eHm6+SjcM0CnMsS9j+uEZVL0ZMhVyGTgldAyNN177YgPbViLl/TONkmKgl05PzwGTE6YuRDnxzo7qL6PCWsZxQTFYHaoUMuQexySULklLr1XdnsVh85oU2o54/rs1jXQgKm+dYtgCVjM7+0cI8kF7/7tDpdFPuy0Tc4bz16JmoOG0225QF5atR1xeBAWMJ02hzoFV6vv0VDgtCoXEFwLujo6NjKE2OD5glwgxFbh0A4X7UClTL6BwYOTrOJvcxXzhuD88Q546JutlNxLfWFyOmr7IN+mKfeixx6002/NWejyuXrEhKrVeun93d3YSHh0+pr67z+uQo4+BNblSz2QwqP1BqUdnc1xmM0Mlo7vNNfN5YTPUp76uICk/eLpNNMemNOH0VFODLdC9TZSxRNfWaiPQitldl0yM0QV4J05eOKtMe9uXuZnf5UspkSEHx+FndOwBH6uS06n1fWQmGrGZT3ceciK+kO5yj1VhrzYmKcv/v3504hRA+mcaCbzJC+Go6PFaGi4YeIxFe7EppzR3IQlN8stadCNMqTE8jyHADkSwkCZ2lc9y2AJF+MtoNvq2q5MSX8YO+uKGc0/zhx/JWlPtHl+zPeOL05daKL0ZeXxUqGovGHiMROve3v9xhQWUbQB2ZdsCjmKZVmBNJ6ScLTUFrdh/LFqGT02FwjBqVVCrVlFPUBwUF+aRkd0hICD09Pd41FgIctjFfMsmORinHYhwEh831r0Yp/6ndOA8AZ3TJ7373u3GDnPcXp81mQy6X+8Qaa7VafTLq+iK+dTwae41E6tw/gLTmdqyaUPyDQj0+aHxdRnFak3E5hemp2heALDQJXeePbttE6mR0GiXMZvOIJ2lwcDD9/f3Tkk1tosTGxrJv3z7vjACSHe4cPwGZkp9+oDHHyFu7QDH6ZnFGlzz//POuLHNj1Y9x3mhG41BYk6/qgU40U+B46PX6KXn8wPh7qQ3dBpbPkwPjG9m05g7Muhi0Wq3H9WNPT49PM+9PqzDj4uIoKytz28ZVoyI4EY3pXbdtw3UyBm2Crv6RU5yQkBCampqmnE3NV/UyvK5sLVcOicsNFovFdaxRU1j52MevrKzkqquu4u233+b222/njjvuGPf4zpvNl55BAwMDU3ZvBN/EyY5lhJIkQWOviXCt+xxTWnM7Fl00AV6s571Jbj4RpnUqGxcXR3Nzs9s2rnycIckep7JKuYzEQDnfVY1s56u9zLCwsFFl2yZDQkKCd0VjZbKhEW+cl8UugUKFf1AIMqUak9WOJFP81GYcMW3evBm5XE5qaioPP/wwmZmZo9oIITCbza4Umb7IvgdDI4cvpp/e7Bt6w1jT4dpuAzqlnACF+xmS1tyB1S/GtYXljpaWFp8UtXIyrSNmTEyMxzWmM6lvcEQqamMrMsmGkI8/l88OU/BNTTdnrfzpPV897Z31MqY68oaGhlJfXz8l8/n+hh61Wo3D4cBsNrvWh56O/ctf/nLM9521NDUajWtU91Xe2qamJp8UcG1vb/fJZr3FYhk1RS9q6CMjTOXxGv2MLehDV7hqprqjpKSE008/fcr9dTKj+5gwZHQZGBgA/wikwDiCDLVu2y8Il1Pcbhm1Aa9UKqecxsLprOCLhXxMTMykQ9HGs74qFAp0Ot2QA7bJNKEcsE4Dj9FoHDFKDmeqqTENBgMajcYnBqTp3Afd3dRHapCHe1MIgvQV2KMLvOpLQ0ODz6qQwwHw/PH393cb6Do8OkSecgRhevdr0sxQBY16B03tI6ecISEhYwbDThTXg2KKREdH09raOmGDkqctEZlMhlqtRqfToVAoMJvNGI1GV9yis5SCsxamyWRy/R2G3AbdjYhTcXyvrKwkNTV1Qtc7Fs6IEl9kmx/L8FPU0EdqsPtbX2vuQC5Z8U9e6NWICb5dp0+7MAsLCykqKnLbxmV0SV1OcJ/74FudUkZykJxPS5tGvB8REUFnp/t9UG+IiYnxSXEYmUxGZmbmhGomTsR5wJmhQKfT4efn5ypE63Spc7qyaTQa/Pz88PPzQ6XyPH2DyYmzqamJqKgon6wL29vbfVIWob29fVQZP4vdwd42vccRM0hfzkDwfEJCwzy6BQ4MDPh8v3Xahbl48eIRZeHGIiAgYGhUTT6cwN5SEO5HmewwBd/WjhwdnV43U52G6nQ6LJbRU+XJEBgYiEqlGrWvKYQYNZJOpZIz/CRUtVqNWq12lX6frIXZnTidaUecmM1ment7fWaV7Ozs9El90b6+PkJDQ0e8t7d1gOgAFVq5+983SF+BISTbq/X2rl27WLhw4ZT7O5xpL/WelpZGdXW12zZOr5ugpCTQhRJoqGcgYHxze26EgmdKLaM2fZ0W3qCgoCn1OTo6mvb2dp9Y2dLT09m1axfBwcGutVdERIQrPwzgsij70rPEV14zzunx8PqjMpnMVclLCMG+ffu82qv2BqPR6BPvI4fDMaY19duabuaFel4DB+nLac+60G26ECc7duzg1FNPnUp3RzHtwvTWANTU9J+pafIRhA3sdSvMzFA5RqvEj5XNHLYgxfV+TEwMzc3NPhHm7t27fSJM55S2vLzcdfM6p5YA9fX1qNVqkpOTp3yu4ZSUlHhM/eEtXV1dtLe3s2DBglG/Z1NTE9HR0T6ZwsLQ9+GLdep49Tm3l3ewNML9LEIm2QgYrKUjaYlXhp+6ujpSUlKm0NvRHJCwL2e57XE78Z80+EIIFGnLCenZ7fZ4cpmMwiglW3eN3Cv08/PzSXUomUxGYGCgT1z0YGgk12g0o9bA9fX1AD4Xpa+JiIggOjqasrKyEVNYg8FAb2+vz/bv7Ha7qwboVOns7By1Th202NnV0MeCMPe3fZC+ErMuitC4dPr7+7160B9UZficeGMACgwMHFpnZh5LcM9u5A73WQkWRSv4ttEwai3oiwTBAElJSdTWut+6mQhpaWm0tbW5LMcHiyid7C9Os9k8YhbgC2pra33yfTjX8PtvB31V1UV6mNrj+jK8+wf6IpYQGBjo0blguhztD4gwjzrqKP7973+7bePa9wuMQYqYT3h/sdv2C8IVNA04qGgcmRoxLi7up2nxFFCpVAQGBvpkCwaGnqi5ubk0NDRQXl4OHDyidOIU5549eygtLSUvL89nOW6sVitms3nKyxAY8j7a3+gD8FlFJ7nhnm/58O7vGYg7kr6+Po9Vsf/973+zcuVKt20mwwERptOY4g4/Pz+MxqG0IfIFJxPZ/b3b9hqFjJxwBW/vqBvxflBQEIODgz5xEkhOTnZ58PgCmUxGUFAQnZ2dsyaIeKI4LehKpdJnogQmVbl6PFpaWkZZiIUQbN/XQV6Ee8OPztiKxtKLLmv1mNPh/dm+ffvBK0zwzn/Uma1Onn0SoZ3fe9w2WRqj5INK/Sjh+MrZQKFQEB4e7pP9URiavsrlcg4//HDq6+u9Dw+bJRiNRsrKyjjkkEOIj48fteacynE95bH1FqvVOmb42u6mfiw2Own+nqax39MbeQiR0XFjToeH43A4sNls01L35oAJ8+STT2br1q1u27hG1sgsZNpAgvXuN+cPiVHQZXTwye6Ra8H4+HiPzvPe4sygPdV9zeFrSrlcTl5eHm1tbT4dkaeTjo4OKioqyM/PR61Wj2sQmgyVlZU+Gy0bGxvHtEa/+E09RyVr8GSiCe/+nv7ow7FarR6n1d9//z2HHnroFHo7PgdMmDk5OR5T6ruyCMhkyLNPIqrXfXymUi7jZ0lKnvmyZuT7/5lm+SLiRCaTkZ6eTmVl5aSPMZahRyaTsWDBArRaLbt37/aJNXk6sNlslJaWYjAYKCgoGDGC+EKcLS0thIeH+2TUEUKMuY/dY7DyXkkrK+PdT2OVtgGC9BWQebRXTvTvvvsua9asmXK/x+KACVMmk/3k4eOmjXPrRL5gLRHtX3qczq5KVLGj1UJl88i4Ruf60BcEBwcjk8kmlXrEk/U1OjqanJwcqqurZ93o2dnZSUlJCSkpKaSmpo5pnZyKOC0WC52dncTHx/ukv21tbcTExIx6/9UfG1kYoyFQ6f5eiuj6joGQbKKS5mEymTwGjvf09PgsK97+HND0lcceeywffvih2zauULGkw5BrA4joce/OF6SWsSRGyaZ/j3R+9/Pzw2KxTDnixElGRgY1NTUTmtJ6uyWiUqnIzc2dNaOn3W6ntLSUwcFBCgsLR3j9jMVkxVleXs78+fN9sgcohKCtrW3UKOeQBH//tp5VCZ69feJa3qMzcWgE9LQFUlNT4xNHiPE4oMJcsWIFn3/+uds24eHhQ8HKMhmKw9eT0OI+qwHAsSkqPqgcpH9w5A2dlpZGTU3NOJ+aGHK5nPT0dNdWhycms08ZHR3NggULqK2tdQnjQGKxWCgvL6esrMztKDkWExVnU1MTYWFhPnNDdIpy//5+VtGBAonMIA85i/UVaM1dqPJPp6mpyaPX1DvvvMPatWun3O/xOKDCVKlUSJLkdhSTyWSuUDF5wdkEDlTjZ2hwe9zEQDkpQXIe/3Dk3mdAQAA2m81nmdqDg4Px9/f3uE86FecBtVrNggULyMzMpKWlhd27d9PW1jZtRY+EEPT09LBnzx6qq6tJSEggPz/f4yg5Ft6Ks6+vD71e75O8QDBU0qGtrW1MD6S/fV7Dz5I8b+vEN79He+IaYuITsdvtHl0M9+3bx7x58ybdZ08c8EzsJ5xwAtu2bXPbJjExkYaGBlD7IwrPI6n1fY/HPW2eipeLuukZGDlqpqene3SinwhJSUno9fpxt2N85dGjVquZN2+eq9hpSUkJZWVltLa2YjKZprQWtVgsdHR0UF5eTnFxMYODg2RnZ7NgwYJJCXI4nsRpNpupra0lKytrSucZjtMSu/9o+U11NzUdAxwR6/42V1n1RHR9zWDWGXR1dXl0MaypqZl255Bpd2Lfn2OPPZarrrrKrTe+RqNx+U0ql11K5F8Ppyr5XOyq8ef9acEK5oXKeWDbLu46+3DX+86AYoPBMOWbzklWVha7d+92BR07mQ43O7lcTkxMDDExMdhsNvr6+mhubnatQ5VKJcHBwQQEBKBQKFAoFK4KaEajEYfDgdFopK+vz5XiU61WExwcTHJy8rTkSnV6y5SVlY1wfHc4HJSVlZGbmzvlsgdOHA4Hvb29Y37nD31cwUnpGhRuMuEBxLR9TF/4YuKzDqGmpoaCggK37V944QUuvfTSKfXbEwdcmAqFgri4OI+pGBITE2lqaiIlJRUp6QjiOj6lId59wc/TMtTc/V0fV/QMEBv2U6hOeno6e/fuJT8/3yfXIJfLycnJYc+ePeTn56NSqQ6I76tKpSIyMnKEN4rNZqO/v5+enh4cDgeSJCFJEgMDA7S2trrSkUyXCMdjf3HC0KifmZnps0gUGPKvHSuy4+vqLmo7B7hkvhZwM7sQDuJa3qOu4EZiHA5CQkLcrqvtdjsdHR0+Tbw1FjNSVOiCCy7g+eefd9smNDSUvr4+hBCoVlxHQsMbHh3b4wPlFEYpuPedohHvq1QqAgIC6OpynypyIjjXgnv27HEZmGbC91WlUhEREUFKSgrp6elkZmYyf/58QkNDSU9PJyUlhejo6AMqSifOaW1paakrDM2bFB3eYjKZMJlMo9wbhRA89HElJ6WrPY6WkZ3f4FD4EVJwolf5cLdt28aJJ5441a57ZEaEmZiYSGtrq8fs6ZGRkXR0dEDKERCVQ6IXa81TM1S8V6mnqnWku1tqaioNDQ0+rQym0+kIDAykqanJpzlF/5sIDw93JQ4by7F8sgghXNst+/NNdTd1nQMc6WFtiXCQUvcyLZm/ICg42Cv/33fffZfjjz9+Kl33ihkrw7du3Tq2bNnitk1cXBwtLS1Do+bxfyShfgsKu/vCP1F+clYnqrjhnztHWDJlMhnz5s2bUA4eTziDnA855BCKi4t9tmf634IkSezZs8c1cvvKtxaGstLFxMSMmhabrA7+8GYJ6+ZpkHsYLaM6vkLIlfgtPova2lqPSarLysqYP3++T7IAemLGhHnUUUfx6aefum0jk8mIjY2lpaUFWfwiRNLhJDe/4/HYp2aoaB2w8cynI50OAgIC0Gq1PpnSDl9T+vn5kZOT47JwzjHkTL57926SkpIICwvzqW+tyWRCr9eP6eXzp/f2EuMHS6M8nEM4SK7/J82ZvyQwKBi1Wu3RLfCZZ57h17/+9VS67jUzJkyZTMahhx7Kt99+67ZddHQ0HR0dSJKE+rg7iGt8G5W13+1n1AoZF+WqeWh7A03dI1NR+mJKO5ahR6vVUlhYSE1NzdD0+3+YgYEBSkpKyM7OHrH+84U4nTmGxtpu+ayik23FLfxivufbOqrjC4RcTcDis6irq/M4Wvb09CCXyw9YuN6MVpQ+77zzPBqBZDLZT36vUVlI804gpelfHo+dGargsDgF17/8/YibwDml3bdv36T67M76qlAoyMvLQ6/XU11dPav8Xg8UbW1t1NXVUVBQMKbBaarirK+vJy4ublS+2F6DlRtf282vcrX4K9xPYWWSg5S6f9KceT4arZagoCCPa8tNmzZx8cUXT7i/k2VGhanT6cjPz+ebb75x2y4sLAy9Xj/kkXHMrcS0fIjO6Dms6/RMNTXdFv7x5UgRBgQEEBISMuTEMAG82RKRyWRkZGQQEBBAcXGxz7yOZjt2u529e/diNBrJzc11uw6brDh7enowmUyj/GGFENzyZgkFUSpyQz17SEW3f4pDoSVg8Zk0NjZ6tKZ3dnbS3d09rZ4++zOjwgS4+OKLefrppz3+QKmpqUM5eEJTcCxbT1bF4yDc/whapYxf5Wr400e11HeOTKyVkJCA0Wj0Olh5ovuU0dHRZGVlUVFRQVNT03/16NnT00NxcTEJCQmkpaV55V87UXGaTCYaGhrGnMK+sbOZXQ09nJHp+XZWW3pIr36OhpwrkSsUREZGenR2ePDBB9mwYYPHY/uSGRemSqXimGOO4b333nPbLigoCLPZjNVqRX3U79DKbMS3fuDx+AvCFRyVoOTS577Fah8Z9jN//nwaGho8RnNM1nlAo9GQn5+PXC7/rxw9naNkb28vCxcunPAepbfidHoM5eTkjBJ9bZeBO94p5dI8NSo8lKMQgszKTXTGHkX8YafT1tbmMeSsrq4OpVLps9A0b5lxYQKceeaZbNmyxaOjdkZGxlB0h0KFat3fSK35OxoPpftgyEorSRIbt/ww4n2ZTEZOTg5lZWXjGoN84dETFxdHVlYW1dXVlJeXH/TbKpIkuSJgEhISSE9Pn3TolidxCiEoLS1l/vz5o9aVVrvE1S/v5OQMLckBnqewkZ1fEjBYx+Cy6+nu7h7Tv3Z/HnzwQa677rqJXZQPmBXClMvlnH322fzjH/9w206n0xEcHExbWxvy+IVIiy4kq3LTuCXPnSjkMi4rUPNOWQ/v7qob8TeVSsX8+fMpLS0ddWP40s1Oo9GQk5NDfHw8e/fupbq62icVrA8kQgiam5vZvXs3QUFBFBQU+MSTx504q6uriYmJGTM+8v4Py1EKO8d4kddaZe0ns/IpavM2EJ2QisVi8ZgBzzk996VjhLfMCmECHHPMMWzfvt1jTtjExETa2tqGprTH3Iq/rYuYdvf7oQBhWjkX5aq56c2yUVsoAQEBJCQkjLgxpsv3NSAggPz8fMLDwykpKaGqqmrWj6AOh4OGhgaKiopQKBQUFhb6PHJ/LHHW19ejUqnGrGPyWUUnr/3YyEU5So8PZoCMqqfoiTqcmMPOpLq62itDzuOPP84VV1wx8YvxATIxi6wS33//Pd999x1XXXWV23Ymk4mqqiry8vKQ6r/B8fcz+HHxA1i0ngvR/LPcSlU//OvqowjQjpwadXR00N3djU6nc23TTDd6vZ7GxkaEEMTHx3t0ovaWkpIScnNzp3QMg8FAQ0MDVquV+Ph4wsPDfZ5xfH+c5RgCAwNxOBxjZgmo7zZw+hNf86scDTleWGEjOr8ho+pp6ta8giogjJCQEI8Pli+++IK9e/dyySWXTPpapsKsGTEBli5dSkVFhUfPnBFT2uTDkBb9mpy9f0EmeR55zpinIkwjOP/JLzDbRq4ro6KisNvttLW1+bQIqTuCgoLIyclh/vz59Pf3U1xczN69e+np6TngllxnMqvKykp2795NS0sLqampFBQUEBERMe2iBFznaWxsHDNqpKXPxLlPfcsJad6JUmPuZH7549Tk/5bYlHlYLBaPorTb7WzevPmAefmMxawaMWGopuGdd97JY4895radEILdu3ezYMEC1EoF5r8dR5c6gaq0Cz2ewy4JHtppISLIj80XL0chH7rhnNNXnU5HV1cX2dnZB+Rm3B+r1Up7ezu9vb3IZDJCQ0MJCQnB39/f6/54M2I6Sx309fXR29uLzWYjMDCQmJgYn+R4nQz19fU4HA6CgoJGFTLqGDBz5qZvWBotZ02S59tWJjko2H0LA6G5BP38fqqrq8nPz/foTHD//fezfPnyaUtN6Q2zTpgAr7zyCkqlknXr1rltZzKZqKysJD8/H6Fvxf744ezLvIzuCM9fqNkuuO9HC/kJITxw3qEuZwPn9LWzs9N1Y/gqqHcyOBwO+vv76evrcxVmksvl+Pv7o9VqXS+NRjNCtE5hCiGwWq1YLBbMZjNmsxmDweCyQmu1WkJCQggJCRmz+vKBpKamBrlc7hoph1cZ6zPaOOtv35AdAj9P9e6WTal9mbDeXXSf8nckFF5NYUtLS3n11Ve54447png1U2NWClMIwfr16/njH//oMUV9S0sLVquVlJQUHBUfI732K35c/Bev1psDVsGfvjezIiWAy5cnjVpT9vX1UVtbS05Ojk+De6eKw+HAYDBgNptdgrNYLAghXOLs6upyWR1VKtUIETurS88WJEli7969hIaGjgqf6+rqoqaxlT9+2Uein8RZ6d7drsF9JeSW/JnylU8Sk30o3d3dY4aIDcdut3PxxRezadOmGYlfHc6sFCYMTWn/+Mc/8vjjj3tsW15eTnh4OBEREVjevx3r3vfYWXA3Qu755mvVW3hgl4PjcqK58/RFo6aKZrOZsrIyMjIyfFLw5kDhC+PPgcBisVBaWjru96s32zj3ya8Illu4OM9zJnUApU3PIT9eS0PWpUSvvoy6ujry8/M9LgPuu+8+Vq5cydKlSyd5Nb5jVhl/hhMdHc2KFSt47bXXPLadN28ezc3NGAwGNMfehsovhPle7G9arVbCtTL+cKiWzys6uPKFb7E7RhoUtFotBQUF1NfXD1Ujm8Nn9Pf3U1paSk5Ozpii7Dfa+MXT3xGtgwuzFZi9SEImk+xk732IvvBDCDniV1RVVY3pMbQ/JSUlDA4OzgpRwiwWJgx5BH3yyScew6icHjz79u3DLgk0v/wnIcZa0mpfHPczwxNThWjl/G6Jlsr2fi546kvMtpEb/wqFgtzcXIxGI5WVlf/Vfq8HipaWFhobGyksLBwzDrLXYOW8p78lRuPg/PkyVEolKpUKs9k87vcvkxxk730AhbAxcOQttLa2kpWV5dHYY7fbuf/++7npppt8cm2+YFYLUyaTsXHjRm6//XaPYlAqlWRnZw/VR9GGoP71O0R3fUVC41uj2g4XpRN/lYzrF2swGE2c+fhn9JtGpj2RyWSkpaUREhJCUVGRq2TgHBPDZrOxZ88ebDbbuNnyegxWzn36WxL8JM6dh2vmo3QnTiExv/wRNNYe2o56CKHUEh8f71VmxAceeID169fP+LpyOLNamDA0pT3hhBPYtGmTx7Z+fn4kJCRQUVGBPDge5YXvkNz4BtFtP3kGjSVKJxqFjCsL1QQp7Kx9aDvVHQOj2kRGRpKbm0tNTQ21tbVzo+cEaG9vp6SkhIyMjHGdNxp7jJz9t29IDRCcnSFGLUfGFKeQmFfxV/yMzbQc9TCB4TGuimSe+Oyzz5AkadZMYZ3MemECrF27lv7+fj755BOPbSMiItBqtTQ2NqKImofs/NfJrN5MWPePbkXpRCmXcVGuimUxMk557AveLx4d9+msNeLv7z83enqBzWajpKQEs9lMYWHhuMV63tndwsmPfsmiCDjTjfV1hDgliYyqpwkaqKL5qEeITsqkr69vTOeE/amtreWVV17hxhtvnOylTRuz1iq7P0IIrrjiCn772996TAMBUFVVhZ+fH3FxcVjLP0L22gUUzf8thshFXp+zrNvBpt0Wzl6SwO9OzHM5IgzHZrNRXl6On58fKSkpM7rnOZzZYJUVQtDa2kp7ezvz588f12nBaLWz8e1SPivv4LICDaleRIoA2G020mqeI7p/N3VHPU58ZgENDQ3k5eV5NPYMDg6yfv16nnjiCZ8lAvclB40wYch38/LLL+exxx7zauuioqKCwMBArFYrypp/E/3VreybfyVdkYd5fc5uk8TjRVaigv148sLDCPYbewump6eH+vp6IiMjiY+PnxGPoeHMtDC7urpobGwkOjqa2NjYcb+P0pZ+rvrHLmL94fz5crRyL2u0CEFG1dOE9uyiqOBOFhy62iVKTw9HSZK4/PLLufnmm2ckF7A3HFTChKG0hXfeeSdPPvmkxx9ACMH333/vSmFiqfwM+au/oCb1fFrjjvX6nFaH4KV9Nsq6Jf60rpCjF4zOzuY8X0dHB83NzSQkJBAZGTljAp0pYfb391NbW0toaCiJiYnj/kZ2h8TmL2t5/NMqzsrSckTMBG5DITGvYhNB+nLqVz6Mf1QKtbW1rFixwqvUknfeeSerVq1i+fLl3p/zAHPQCRPgq6++4uOPP+b22293285ZCNZisRAYGEhcXBy2piLEi6fRFHcCDUnrYALC2dlu58W9VpalhnP3uoWE+Y+9VhVC0NTURHd3tyt944HmQAtzcHCQ2tpadDodqampbgVS0T7Ab1/bjd1q5cIcFVEa7+NSZZKD+eWP4G9sonHVI8Sl51BXV0dcXBydnZ0jfGvH4tVXX0Wv1x/QxFqT4aAUJgzl+NTpdJxzzjlj/n3/eMrKykp0Oh0JCQnYO6uxP3cyXaGLqUr/Fci8XxcabIItlXZ2ttu5fW0OP180fhS8w+GgqamJ3t5eIiIiiIuLO2Br0AMhTCEEnZ2dtLa24ufnR3JyslvDms0h8eRn1Tz5WQ2nztPyswS8iqV0MuQ88AAaaw8tRz1MdFImjY2NrunrcN/asX6TXbt28corr3DPPfdM5nIPKAetMAFuvfVWjjrqKFavXj3i/fGCnKurq11O0mKwA/PmkzCoI9k37yocSvdlvfdnb7eD58uspEcFcvupBcyLHj+SXwhBV1cXLS0taDQaEhMTp93gMJ3CtFgsNDY2YjAYiIiIIDY21uMDp7Sln99tKQbJxoXZSiI0E6v3qbCbyN77F5SShbajHiI0OoGOjg5yc3NHiHA8cVZXV/OnP/2JJ554Ylb5CY/HQS1MIQQ33HADP//5zzniiCMAz5kHWlpa6OnpGfrhrIMMvPQrlN37KMn5HUb/icVgWh2Cd+vsfFRn47C0MK47LpucuGC3nzGbzTQ2NmI0Gqc1xMrXwrRYLK5QNJVK5XWBoN2NfTz+aRXfVHdx+nwdq+KZ0CgJEDBQw4Ky+zAGptKz8k8otAEIIcbNNbS/OOvr69m4cSOPP/74jIWzTZSDWpgwZGHbsGED5513nisFhSdLm16vd/lQatRq9B/fh+67h6nMvJSO6BUT7oPBJvik0cEHdVYWJYVw/XELKEgMcfsZIQSDg4O0tbVhMplQq9VER0fPqgwGAwMDtLW1YTQa0Wg0REVFERoa6rF/Qgi+renh8U+rKG3u44Q0DasSFKhlE8xxJATxzVtJrX2Z+nm/Rnfk5XT39BAZGTlmeYThOMUZHBzMH/7wBx5//PEx8wbNVg56YcLQWu6qq65izZo1nHTSSV59xhnVkJ6eTnBwMKaK7Shev4iOiEOpTv+VV5Ep+2OyC7Y3SbxXa2FBbBCXrMxk1fwo5GPsf47Vn/b2dvr6+pDJZK44yeDg4EmFnE1UmHa7Hb1e74r7FELg7+9PTEyM19NuSRL8e18HT2yvoqnHwJo0NcvjFSjExJOOqaz9ZO17BI2lk9rFt5K0+FiqqqrIzMz0OsqnpKSEu+++m02bNhEc7H4mM9v4rxAmDN1YGzZs4JxzzuGww7zbp9w/DtChb8P44jkIi4Gy7Osx66I9H2QMLHbBV60SH9fbkCkUXHB4KmctSR53D3R/hmcW6O/vx2azIYRAq9Wi0+nQaDSu2EqVSjXmCDaWMO12uytY2vly5tRVKBQEBQVNOFMCgMFiZ8uOJp75qhYkB8enDHlOyTwk5B6PkN5isvc+QHfU4RiPuImw6Hjq6urIzc31+iHV2NjILbfcwsMPP3zA6o34kv8aYcKQ0G644QZOOeUUVqzwfkpaW1uL1WolMzMTmZDQv3ML/iUvUJd8Fs3xJyHkkyu7JoRgb4/EJ40OSrvsnJQfywVHpJETFzSp6er+orJYLCNqjO5vBNk/Wl+pVLqyHThFrtVqJz11bukz8fzXdbzyQwMZYWqOTpSTFSK8ipkcC4XdRGrti0R1fEFNzrVELr8Qo9HIwMAAWVlZXlu0a2trueOOO3j00Ud9Wij3QPJfJUwYEudNN93E6tWrOe6447z+XE9PD3V1da6AXWPt90hvXYVw2CmfdwWDgZ7dAN3RaZT4vEXi80YbgToVa/JiOSEvjoKEEK+muhNluqyyDd1Gtld08Om+Dr6r7eHIRC1HJyqI0k4tR25oTxHzyx9nMDiTjkNuJGnBIVRXVxMZGTmhosD79u3j3nvv5bHHHjtoDD1jcdAL02azce+995Kens7ZZ58NDI1U9913H35+flxxxRVejwgOh4PKykoUCsWQxU9I9H10H4E/PkZL7DHUpZyDpHBfQ9ETkhBU9Ql2dUr80GZDJlNwfG4Mx+fFsTApBD+1+9hBb/GVMM02B9/X9vBpeQfbyzvoHLBQEK0mN1xOQYQcPw+VtTyhtA2SXv0s4d0/UrvgCkKPuBCbzUZXVxdZWVkea1YO57333uO9997j3nvvnXQI1+bNm+nr62PDhg0z6lY564T55ptvsm3bNvR6PaeffjrvvvsuKpWKwMBAHnjgATZu3OhaF9522200NzfT1NRETU0N119//Yhjvf3223z66af8+c9/ntAPvP/oaemoxvz6etT9tVRlXER3+NIJeQyNhxCC+gHBrk7Brg47LQN20iP8WZQcxqLkUBYmhZAWETCpEXUywhRC0NRrYmdDL7sa+ihq7KWsRU9iiJq8CAV5EXJSA0GOb26Z8K7vmVfxBP1hBXQvuYGkrEKqqqqIiIiYUK0QIQQPPfQQMpmMa665xiWovXv38vDDD9PV1cXPfvYzTCYTf//733nhhRfIzc1l+/bt3HrrreTk5HD22WezatUqbr75ZpYtW8aCBQvIyMjwyXVOBt88nn3Iqaeeyqmnnkpvby+//e1vee655wA444wzkCQJpVKJWq1GpVIREhJCZGQk77777piJltauXUt6ejqXXHIJ995776jybeMRFhZGcHAwFRUVdHR0kJaWhuay9+n75nkyvryXlLp/UpdyNt3hS6YkUJlMRkqQjJQg+Hm6ApNdTf2AoFbfyT+/bOfuPjt2SUZKhB/xoX4khPoRF6Ij/j+vqCANwToVGqXcq6e71S7Ra7TSOWChY8BMh95Cx3/+u7nXxO7GPmwOicwwFWnBco6Nl3NpdgA6l2O5DwQpBGE9O0lq2ILW3EFNzjVEHXk+QWYzVVVVEx4lzWYzN954I2vWrOH4448f8bfs7Gw2bdqEJEn88pe/5O9//zt6/U9V32QyGQEBAZjNZhISEgBISUmhvLyck08+eerXOgVm3Yjp5Prrr+e8885j0aJFfPHFF3z44YfceeedSJKEXC7n7bffpq6ujquvvtrjsbq7u7nhhhu46qqrWLhw4YT64Rw9k5KSiIiIwGGz0Pv53/Df8VdsCj/qUs6hJ2yxT0bQ/RFC0G0WdFvkdJsFHYM2uk2CPpucbpNEr1nCZJNQymUEahUEapQE6VQEaJT0DhiQ5CoMFjsGiwOD1YFdEuhUcsJ0CkK0coI1MvzldkI0MqIC1KQEyQnXOJBPxxROSER0fUty/RaUdgMtaWdB4TmER8VSX18/4VEShpxFbrrpJm6++eZxM+C9/fbbPPHEE5x//vmce+65bNy4kXXr1pGbm+u6l9rb29mwYQMvvfSSL67UJ8y6EVMIwe9//3tOOOEEFi1axPbt23nnnXe4//77AVyWuaioqKE0Il4QHh7Ok08+ya233kpVVRVnnHGG1/0JCxtKqd/Y2EhTUxOpqalE/OwqHCsuwfDZk8zb8VesyleoSzmbnrBFE/K79YRMJiNCJyNCByADRm8VOCSByQ4WSYbJIcNklzA7rNiDHIQGqNEoVGgVKjQKUMuHRDyS4RZn6T/n8R0yyUFUx+ckNWwBmZyWtHNQLzqL6Mho6urq6OjoICcnx2Nenv354YcfePLJJz1uh6xdu5a1a9dy4okncu655474m/NeCg0N9Vgz50Az60bMRx55hOeff54lS5YQGxvLX//6V0499VRkMhkPPvggDz74II2NjXR1dfHII48QGxs7oeM//fTTNDU1cfPNN094497hcFBbW4vJZCItLQ1/f/+hEfSzJ/HfuQkhBC1xJ9AWsxq7ama9TEwm07iZAg4EStsgsa0fEt/8LjZ1MC0Z5+G/aB0RkVGulCzp6ekTmrbC0IP72WefpaamhjvuuMNtFMv27dt54403sFgs5OfnExAQwKOPPkp6ejq33HILlZWVfPDBB/T19XH55ZezatWqKV6175h1wjwQ7Nq1i4ceeojrrruOwsLCCX/eZrO5yuhlZGSg0Whw2G30/vgGip3PENi9m46o5TTHr8EQMLoozoFgpoTpZ2gkvnkr0e2f0RdWSGf6OkILTiQ8IoK6ujrMZjPp6emT2spobm5m48aNrF27dsbXgNPN/6QwYSgp17333otMJuOGG26YlNubyWSipqbGVRnM399/qDBPYynmLx4ntG4rBr8EWmOPoTt86QEdRQ+oMIWDsJ5dJDS9Q+BAJR3xx9E//yzicw5Dp9NRX1+P0WgkNTV1UkmzhRC88MIL7Ny5k9tvv31G4lsPNP+zwnTiHD03bNhAQUHBpI5hsVior6/HZDIRFxfnqlhlNerp/fJZNOX/IrC3jP7gbLoiltEVsRSrxrf1JfdnuoWpsvYT1rOLsJ4dhPXswqoOpj35FKS8s0hMz8JisdDQ0OB6aE3WgbylpYWNGzdy8skn/9ePksP5nxcm/DR6yuVybrjhhknH60mSRHNzM93d3QQEBJCYmIhGoxkaRTsaGNz5Otrajwju3smgfzJdEYfSE7YYg3+ST41GMA3CFA4CB6oJ795BWM8O/A316ENy6I9aiiVxOSHpSwgNC6OtrY2enh4CAwNJSkqa9HcphODFF1/kxx9/ZOPGjf8To+Rw5oQ5jJ07d/LII49wxRVXsGTJkikda2BggMbGRux2OxEREURGRrpuUkNfJwO73kRZ9T5BnTuQS1b0gfPoD85CH5SFPmgeDuXU3MmmKkylbZAgfQVB+r0E6csJ0pdjUwXRH7EEfcwylBlHERmfgp+fH93d3XR0dLiK73oTGuaOuro6/vSnP3HiiSeydu3aSR/nYGZOmPthtVrZtGkT5eXlXHPNNV6VBHeHJEl0d3fT2dk5Zv1Ji9mMvrEUS9XnqNp24d9Tit9gHUa/RAYC0zBrozFro1wviyYMZJ6d6r0SppBQW/vQWLrRWLrQWLrwNzQQ3L8PnakFQ2AaAyHZGMPzEAlLCE5cQGhoKEKIEfU7nQ+eiW557E9nZycPPPAASqWSDRs2EBoaOqXjHczMCXMc9Ho9jzzyCP39/Vx33XUTcqQeD2fF5vb2dlfwcXR0NMHBwa49NYfDwUB3G4bKL5Cai5D1N+Fn60JjakdjbEMuWbBoIrFoIrCp/LErA7Arh//rj13ph908iJ/cgcJhRGk3/udfEwqH8T9i7EJj6UHIFFi0kVi1EVi1kZgDEjFH5qNOOZTQqHgCAgKQy+UMDg7S3t6OwWBwBXVPdWR0Mjg4yCOPPEJ3dzfXXXedywvnf5k5YXqgvb2dBx54AK1Wy3XXXefT2D5ncLRer3fVtgwMDCQkJITAwECXWIUQP8VS9rVj7ajE3l2PMPUhs+iRjD1osaCwDQ697AZsQgGaQGwyLXalDofCD7vSD4dChzIkDllwAsqwZLQh0Wj/E+OpVquRyWQYDAb6+/vp7+/H4RiKGvH39yc6OtqnuYqsVit/+9vfKCsr4+qrryYrK8tnxz7YmROml9TU1PDQQw+RnJzM+vXrp8XiKUkSer2e/v5+BgYGXGJ1xk0Of423sS6EQJIkSktLx81ILknSiJhOs9mM0WhEkoZ8Yv39/QkJCSEoKGjK09PxrvPll1/m008/5Te/+c2MllSfrcwJc4IUFRXx9NNPEx0dzW9+8xuPuWemiiRJmEymESIym82ukczJ/gIcXlF6/59YLpePyILgfE2HCIczMDDA888/T3FxMaeddhrHHXfcjGesn63MCXOS1NfX8/TTT6PX6/nFL34xZSuur5npEgnDqa6uZvPmzZhMJi644IJJeVv9rzEnzCliMBh46aWX2LFjB4WFhZx77rmzIvHTTAvTarXy5ptv8u9//5vU1FR+/etfu7IYzuGZOWH6kF27dvGPf/wDu93O8ccfz6pVqybspO0rZkKYDoeD77//nq1bt6LX6znllFNYvXr1rKmAdjAxJ8xpwGg08u9//5tPP/0Uq9XK0qVLWbNmjVeFVH3FgRKmwWDgo48+4rPPPsNut3PooYdywgknjEoENsfEmBPmNCNJEj/++CPbtm2jq6uL5ORk1q5dy/z586fV8DGdwmxubmbr1q0UFxfj7+/PMcccw8qVKycVCDDH2MwJ8wBTV1fHO++8Q3l5OQqFgrS0NBYvXkxhYaFPM4X7SphWq5WSkhJ27NjB3r17sdlsxMbGctJJJ3lVIHaOyTEnzBlECEFNTQ07duygqKjIlQE9NTWVxYsXs3DhwknnRZ2MMC0WC3v27GHHjh3s27cPh8OBWq0mNzeXxYsXk52dPe1bKnMMMSfMWYYQgtra2hFihZ/2Kf38/IiNjSUuLo7Y2FhiY2MJDg5GqVS6XgqFguLiYrKysrDb7dhsNoxGI62trbS2ttLS0kJra6urHIPzFlCpVC4RZmVlzYlwBpkT5kGGwWBwCcz50uv12O32ES9JktDpdC6xOgXtfMXFxREUNLmM8HNMP3PCnGOOWcjcBtMcc8xC5oQ5xxyzkDlhzjHHLGROmHPMMQuZE+b/EJs3b+Yvf/nLqDCwOWYfcxtVBynDq6JddNFFvPHGGwB8/PHHbNu2jcDAQG644QYUCgW/+tWvOOqoo6iurmbZsmVUV1fPaCWrObxAzHFQ09PTI379618LIYSwWCxi7dq1Qggh/vjHP4ri4mLhcDjEOeecI4QQ4sknnxT33nuvkCRpxvo7h3fMjZgHOXfddRdXXHEFMDSKnnLKKQA0NTWRmJg4IuTqkksumZE+zjFx5taYBylCCH73u9+5qqIBvPLKK5x11lkAJCQk0NTU5MrjM8fBxdyIeZDy6KOP8vHHH9Pf309VVRXHHnssUVFRrix2F110Eb///e9RKpVcfPHFM9zbOSbKnEveHHPMQuamsnPMMQuZE+Ycc8xC5oQ5xxyzkDlhzjHHLGROmHPMMQv5f6rGJdsNvwh0AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 250x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Depth index to plot geometry for\n",
    "i_geom = 4150\n",
    "\n",
    "# Find closed curves for the inner and outer radii, as well as for the azimuthal angles in radians\n",
    "r_i_closed = np.concatenate((r_i[i_geom, :], r_i[i_geom, 0][np.newaxis]))\n",
    "r_o_closed = np.concatenate((r_o[i_geom, :], r_o[i_geom, 0][np.newaxis]))\n",
    "ang_closed = np.concatenate((ang, ang[0][np.newaxis])) * 2*np.pi/360\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(5,5), subplot_kw=dict(polar=True), facecolor='white')\n",
    "\n",
    "ax.fill_between(ang_closed, r_i_closed, r_o_closed, color='0.75', label='Casing')\n",
    "ax.plot(ang_closed, r_i_closed, label='$r_\\mathrm{i}$')\n",
    "ax.plot(ang_closed, r_o_closed, label='$r_\\mathrm{o}$')\n",
    "ax.set_ylim(0, 5.5)\n",
    "ax.legend()\n",
    "ax.set_title(f'Casing radii [in] at depth {curves60B[frame60B.index][i_geom]:.2f} m');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Azimuthal channel summary:** At every depth, a number of channels store one value per azimuthal angle measured by the ultrasonic tool. For example, the `IRBK`, `T2BK`, and `ERBK` channels store information that, together with the `IRAV` channel that only stores one value per depth, can be used to find the inner radius, thickness, and outer radius of the casing at every depth and angle.\n",
    "\n",
    "\n",
    "## Investigating ultrasonic waveforms\n",
    "\n",
    "The file also contains channels of USIT waveforms, named `U001`, `U002`, and so forth. The number of such channels equals the `NWPD` (\"Number of Waveforms per Depth\") parameter:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "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></th>\n",
       "      <th>Name</th>\n",
       "      <th>Long name</th>\n",
       "      <th>Units</th>\n",
       "      <th>Dimension</th>\n",
       "      <th>Frame</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>U001</td>\n",
       "      <td>Waveform for Azimuth 01</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>U002</td>\n",
       "      <td>Waveform for Azimuth 02</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>U003</td>\n",
       "      <td>Waveform for Azimuth 03</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>U004</td>\n",
       "      <td>Waveform for Azimuth 04</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>U005</td>\n",
       "      <td>Waveform for Azimuth 05</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>U006</td>\n",
       "      <td>Waveform for Azimuth 06</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>U007</td>\n",
       "      <td>Waveform for Azimuth 07</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>U008</td>\n",
       "      <td>Waveform for Azimuth 08</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>U009</td>\n",
       "      <td>Waveform for Azimuth 09</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>U010</td>\n",
       "      <td>Waveform for Azimuth 10</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>U011</td>\n",
       "      <td>Waveform for Azimuth 11</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>U012</td>\n",
       "      <td>Waveform for Azimuth 12</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>U013</td>\n",
       "      <td>Waveform for Azimuth 13</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>U014</td>\n",
       "      <td>Waveform for Azimuth 14</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>U015</td>\n",
       "      <td>Waveform for Azimuth 15</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>U016</td>\n",
       "      <td>Waveform for Azimuth 16</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>U017</td>\n",
       "      <td>Waveform for Azimuth 17</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>U018</td>\n",
       "      <td>Waveform for Azimuth 18</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>U019</td>\n",
       "      <td>Waveform for Azimuth 19</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>U020</td>\n",
       "      <td>Waveform for Azimuth 20</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>U021</td>\n",
       "      <td>Waveform for Azimuth 21</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>U022</td>\n",
       "      <td>Waveform for Azimuth 22</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>U023</td>\n",
       "      <td>Waveform for Azimuth 23</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>U024</td>\n",
       "      <td>Waveform for Azimuth 24</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>U025</td>\n",
       "      <td>Waveform for Azimuth 25</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>U026</td>\n",
       "      <td>Waveform for Azimuth 26</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>U027</td>\n",
       "      <td>Waveform for Azimuth 27</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>U028</td>\n",
       "      <td>Waveform for Azimuth 28</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>U029</td>\n",
       "      <td>Waveform for Azimuth 29</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>U030</td>\n",
       "      <td>Waveform for Azimuth 30</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>U031</td>\n",
       "      <td>Waveform for Azimuth 31</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>U032</td>\n",
       "      <td>Waveform for Azimuth 32</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>U033</td>\n",
       "      <td>Waveform for Azimuth 33</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>U034</td>\n",
       "      <td>Waveform for Azimuth 34</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>U035</td>\n",
       "      <td>Waveform for Azimuth 35</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>U036</td>\n",
       "      <td>Waveform for Azimuth 36</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>U037</td>\n",
       "      <td>Waveform for Azimuth 37</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>U038</td>\n",
       "      <td>Waveform for Azimuth 38</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>U039</td>\n",
       "      <td>Waveform for Azimuth 39</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>U040</td>\n",
       "      <td>Waveform for Azimuth 40</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>U041</td>\n",
       "      <td>Waveform for Azimuth 41</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>U042</td>\n",
       "      <td>Waveform for Azimuth 42</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>U043</td>\n",
       "      <td>Waveform for Azimuth 43</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>U044</td>\n",
       "      <td>Waveform for Azimuth 44</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>U045</td>\n",
       "      <td>Waveform for Azimuth 45</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>U046</td>\n",
       "      <td>Waveform for Azimuth 46</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>U047</td>\n",
       "      <td>Waveform for Azimuth 47</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>U048</td>\n",
       "      <td>Waveform for Azimuth 48</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>U049</td>\n",
       "      <td>Waveform for Azimuth 49</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>U050</td>\n",
       "      <td>Waveform for Azimuth 50</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>U051</td>\n",
       "      <td>Waveform for Azimuth 51</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>U052</td>\n",
       "      <td>Waveform for Azimuth 52</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>U053</td>\n",
       "      <td>Waveform for Azimuth 53</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>U054</td>\n",
       "      <td>Waveform for Azimuth 54</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>U055</td>\n",
       "      <td>Waveform for Azimuth 55</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>U056</td>\n",
       "      <td>Waveform for Azimuth 56</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>U057</td>\n",
       "      <td>Waveform for Azimuth 57</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>U058</td>\n",
       "      <td>Waveform for Azimuth 58</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>U059</td>\n",
       "      <td>Waveform for Azimuth 59</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>U060</td>\n",
       "      <td>Waveform for Azimuth 60</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>U061</td>\n",
       "      <td>Waveform for Azimuth 61</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>U062</td>\n",
       "      <td>Waveform for Azimuth 62</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>U063</td>\n",
       "      <td>Waveform for Azimuth 63</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>U064</td>\n",
       "      <td>Waveform for Azimuth 64</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>U065</td>\n",
       "      <td>Waveform for Azimuth 65</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>U066</td>\n",
       "      <td>Waveform for Azimuth 66</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>U067</td>\n",
       "      <td>Waveform for Azimuth 67</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>U068</td>\n",
       "      <td>Waveform for Azimuth 68</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>U069</td>\n",
       "      <td>Waveform for Azimuth 69</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>U070</td>\n",
       "      <td>Waveform for Azimuth 70</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>U071</td>\n",
       "      <td>Waveform for Azimuth 71</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>U072</td>\n",
       "      <td>Waveform for Azimuth 72</td>\n",
       "      <td></td>\n",
       "      <td>[120]</td>\n",
       "      <td>Frame(60B)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Name                Long name Units Dimension       Frame\n",
       "39   U001  Waveform for Azimuth 01           [120]  Frame(60B)\n",
       "59   U002  Waveform for Azimuth 02           [120]  Frame(60B)\n",
       "136  U003  Waveform for Azimuth 03           [120]  Frame(60B)\n",
       "87   U004  Waveform for Azimuth 04           [120]  Frame(60B)\n",
       "117  U005  Waveform for Azimuth 05           [120]  Frame(60B)\n",
       "57   U006  Waveform for Azimuth 06           [120]  Frame(60B)\n",
       "81   U007  Waveform for Azimuth 07           [120]  Frame(60B)\n",
       "6    U008  Waveform for Azimuth 08           [120]  Frame(60B)\n",
       "23   U009  Waveform for Azimuth 09           [120]  Frame(60B)\n",
       "97   U010  Waveform for Azimuth 10           [120]  Frame(60B)\n",
       "38   U011  Waveform for Azimuth 11           [120]  Frame(60B)\n",
       "93   U012  Waveform for Azimuth 12           [120]  Frame(60B)\n",
       "95   U013  Waveform for Azimuth 13           [120]  Frame(60B)\n",
       "24   U014  Waveform for Azimuth 14           [120]  Frame(60B)\n",
       "65   U015  Waveform for Azimuth 15           [120]  Frame(60B)\n",
       "3    U016  Waveform for Azimuth 16           [120]  Frame(60B)\n",
       "100  U017  Waveform for Azimuth 17           [120]  Frame(60B)\n",
       "60   U018  Waveform for Azimuth 18           [120]  Frame(60B)\n",
       "66   U019  Waveform for Azimuth 19           [120]  Frame(60B)\n",
       "14   U020  Waveform for Azimuth 20           [120]  Frame(60B)\n",
       "78   U021  Waveform for Azimuth 21           [120]  Frame(60B)\n",
       "9    U022  Waveform for Azimuth 22           [120]  Frame(60B)\n",
       "4    U023  Waveform for Azimuth 23           [120]  Frame(60B)\n",
       "15   U024  Waveform for Azimuth 24           [120]  Frame(60B)\n",
       "76   U025  Waveform for Azimuth 25           [120]  Frame(60B)\n",
       "115  U026  Waveform for Azimuth 26           [120]  Frame(60B)\n",
       "22   U027  Waveform for Azimuth 27           [120]  Frame(60B)\n",
       "126  U028  Waveform for Azimuth 28           [120]  Frame(60B)\n",
       "75   U029  Waveform for Azimuth 29           [120]  Frame(60B)\n",
       "91   U030  Waveform for Azimuth 30           [120]  Frame(60B)\n",
       "129  U031  Waveform for Azimuth 31           [120]  Frame(60B)\n",
       "102  U032  Waveform for Azimuth 32           [120]  Frame(60B)\n",
       "68   U033  Waveform for Azimuth 33           [120]  Frame(60B)\n",
       "131  U034  Waveform for Azimuth 34           [120]  Frame(60B)\n",
       "25   U035  Waveform for Azimuth 35           [120]  Frame(60B)\n",
       "5    U036  Waveform for Azimuth 36           [120]  Frame(60B)\n",
       "109  U037  Waveform for Azimuth 37           [120]  Frame(60B)\n",
       "72   U038  Waveform for Azimuth 38           [120]  Frame(60B)\n",
       "135  U039  Waveform for Azimuth 39           [120]  Frame(60B)\n",
       "67   U040  Waveform for Azimuth 40           [120]  Frame(60B)\n",
       "111  U041  Waveform for Azimuth 41           [120]  Frame(60B)\n",
       "37   U042  Waveform for Azimuth 42           [120]  Frame(60B)\n",
       "41   U043  Waveform for Azimuth 43           [120]  Frame(60B)\n",
       "2    U044  Waveform for Azimuth 44           [120]  Frame(60B)\n",
       "62   U045  Waveform for Azimuth 45           [120]  Frame(60B)\n",
       "63   U046  Waveform for Azimuth 46           [120]  Frame(60B)\n",
       "130  U047  Waveform for Azimuth 47           [120]  Frame(60B)\n",
       "138  U048  Waveform for Azimuth 48           [120]  Frame(60B)\n",
       "64   U049  Waveform for Azimuth 49           [120]  Frame(60B)\n",
       "43   U050  Waveform for Azimuth 50           [120]  Frame(60B)\n",
       "16   U051  Waveform for Azimuth 51           [120]  Frame(60B)\n",
       "114  U052  Waveform for Azimuth 52           [120]  Frame(60B)\n",
       "77   U053  Waveform for Azimuth 53           [120]  Frame(60B)\n",
       "122  U054  Waveform for Azimuth 54           [120]  Frame(60B)\n",
       "40   U055  Waveform for Azimuth 55           [120]  Frame(60B)\n",
       "28   U056  Waveform for Azimuth 56           [120]  Frame(60B)\n",
       "121  U057  Waveform for Azimuth 57           [120]  Frame(60B)\n",
       "58   U058  Waveform for Azimuth 58           [120]  Frame(60B)\n",
       "146  U059  Waveform for Azimuth 59           [120]  Frame(60B)\n",
       "143  U060  Waveform for Azimuth 60           [120]  Frame(60B)\n",
       "139  U061  Waveform for Azimuth 61           [120]  Frame(60B)\n",
       "140  U062  Waveform for Azimuth 62           [120]  Frame(60B)\n",
       "21   U063  Waveform for Azimuth 63           [120]  Frame(60B)\n",
       "52   U064  Waveform for Azimuth 64           [120]  Frame(60B)\n",
       "103  U065  Waveform for Azimuth 65           [120]  Frame(60B)\n",
       "47   U066  Waveform for Azimuth 66           [120]  Frame(60B)\n",
       "86   U067  Waveform for Azimuth 67           [120]  Frame(60B)\n",
       "70   U068  Waveform for Azimuth 68           [120]  Frame(60B)\n",
       "74   U069  Waveform for Azimuth 69           [120]  Frame(60B)\n",
       "145  U070  Waveform for Azimuth 70           [120]  Frame(60B)\n",
       "80   U071  Waveform for Azimuth 71           [120]  Frame(60B)\n",
       "123  U072  Waveform for Azimuth 72           [120]  Frame(60B)"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "usit_channel_table[usit_channel_table['Name'].str.contains('U0')].sort_values('Name')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each of these contains 120 values per depth, which also corresponds with the parameter `NPPW` (\"Number of Points Per Waveform\"). We can expect that these 120 values represent samples of a time signal, just like the sonic waveforms. Let's plot one of the ultrasonic waveform channels to have a look:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 250x600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "u001 = get_channel(frame60B, 'U001')\n",
    "\n",
    "u001_max = np.max(np.abs(curves60B['U001']))\n",
    "u001_lim = 0.5*u001_max\n",
    "\n",
    "us_pltargs = {\n",
    "    'cmap': 'seismic',\n",
    "    'vmin': -u001_lim,\n",
    "    'vmax': u001_lim\n",
    "}\n",
    "\n",
    "us_samples = np.arange(u001.dimension[0])\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(5, 12), constrained_layout=True)\n",
    "im = paint_channel(ax, curves60B['U001'], curves60B[frame60B.index], us_samples, **us_pltargs)\n",
    "cbar = fig.colorbar(im, ax=ax, location='top')\n",
    "cbar.set_label(f'{u001.name}: {u001.long_name}')\n",
    "ax.set_ylabel('Depth $z$ [m]')\n",
    "ax.set_xlabel('Sample $k$');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This channel shows ultrasonic pulse-echo waveforms similar to those shown in the literature. The strong pulse at the beginning is the reflection from the interface between the casing fluid and the casing, also known as the first-interface echo (FIE). After the FIE, we find a resonance corresponding to the pulse bouncing back and forth inside the casing. From the literature, we know that:\n",
    "\n",
    "* The frequency of this resonance provides information on the casing thickness. The lower the frequency, the thicker the casing.\n",
    "* The decay of the resonance provides information on the material behind the casing. The higher the impedance of that material, the faster the resonance decays.\n",
    "\n",
    "The `U001` channel gives us the waveforms at every depth for one single azimuth. To have all the waveforms at every azimuth, we want to load all of the waveform channels and assemble them into one large three-dimensional numpy array `us_data(i,j,k)`, where the first dimension corresponds to depth, the second to azimuth, and the third to sample number."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a numpy array to hold every waveform\n",
    "nppw = f.object('PARAMETER', 'NPPW').values[0]\n",
    "us_data = np.zeros((len(curves60B[frame60B.index]), nwpd, nppw))\n",
    "\n",
    "def azim_to_name(j):\n",
    "    \"\"\"Return the name of the waveform channel corresponding to azimuth index j\"\"\"\n",
    "    return f'U{j + 1:03}'\n",
    "\n",
    "# Read all the waveform data into us_data\n",
    "for j in range(nwpd):\n",
    "    us_data[:, j, :] = curves60B[azim_to_name(j)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As a test, let's plot the waveform data from every azimuth at the same depth:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 250x250 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "i_us = 4150\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(5,5))\n",
    "im = ax.imshow(us_data[i_us, :, :], aspect='auto', **us_pltargs)\n",
    "cbar = fig.colorbar(im, ax=ax)\n",
    "ax.set_ylabel('Angular index $j$')\n",
    "ax.set_xlabel('Sample $k$')\n",
    "ax.set_title(f'USIT waveforms at depth {curves60B[frame60B.index][i_us]:.2f} m')\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Compensating for waveform gain\n",
    "\n",
    "We can see that some of the waveforms are weaker overall than others, which may indicate that the waveforms are scaled differently before stored. Looking through the azimuthal image channels for a channel that might specify the scaling applied to each waveform, we find two likely candidates:\n",
    "\n",
    "* `UPGA` (\"USIC Programmable Gain Amplitude of Waves\") and \n",
    "* `WAGN` (\"Waveform Applied Gain\") channels.\n",
    "\n",
    "Both have units of dB. Let's see what they look like:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 450x600 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "upga = get_channel(frame60B, 'UPGA')\n",
    "wagn = get_channel(frame60B, 'WAGN')\n",
    "\n",
    "fig, axes = plt.subplots(ncols=2, figsize=(9, 12), sharey=True, constrained_layout=True)\n",
    "\n",
    "ax = axes[0]\n",
    "im = paint_channel(ax, curves60B['UPGA'], curves60B[frame60B.index], ang)\n",
    "cbar = fig.colorbar(im, ax=ax, location='top')\n",
    "cbar.set_label(f'{upga.name}: {upga.long_name} [{upga.units}]')\n",
    "ax.set_ylabel('Depth $z$ [m]')\n",
    "\n",
    "ax = axes[1]\n",
    "im = paint_channel(ax, curves60B['WAGN'], curves60B[frame60B.index], ang)\n",
    "cbar = fig.colorbar(im, ax=ax, location='top')\n",
    "cbar.set_label(f'{wagn.name}: {wagn.long_name} [{wagn.units}]')\n",
    "\n",
    "for ax in axes:\n",
    "    ax.set_xlabel('Azimuthal angle $\\\\varphi$ [°]')\n",
    "    ax.set_xticks(np.linspace(0, 360, 9))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These two look pretty much identical, and show a band of lower gain through the middle, similar to the band of weaker waveforms in the middle of the waveform-against-azimuth image above. We may be able to use these to reequalise the amplitudes of the waveforms.\n",
    "\n",
    "But first, let's check how similar the two channels are by looking at their maximum absolute difference:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Maximum absolute difference between UPGA and WAGN: 0.0 dB\n"
     ]
    }
   ],
   "source": [
    "gain_diff = curves60B['UPGA'] - curves60B['WAGN']\n",
    "print('Maximum absolute difference between UPGA and WAGN:', np.max(np.abs(gain_diff)), upga.units)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So, the two channels are, in fact, identical in this file. Let's use `WAGN` in the following, as \"Waveform Applied Gain\" sounds exactly like what we are looking for. To reequalise the waveforms' amplitudes, we need to convert this decibel gain into a scaling factor $10^{-\\mathtt{WAGN}/20}$ that we multiply every waveform with:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "us_waveform_scaling = 10**(-curves60B['WAGN']/20)\n",
    "us_data_reeq = us_data.copy() * us_waveform_scaling[:, :, np.newaxis]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, let's verify that this has reequalised the waveforms by replotting the same waveform-against-angle image as above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 250x250 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "us_max = np.max(np.abs(us_data_reeq))\n",
    "us_lim = 0.5*us_max\n",
    "\n",
    "us_reeq_pltargs = {\n",
    "    'cmap': 'seismic',\n",
    "    'vmin': -us_lim,\n",
    "    'vmax': us_lim\n",
    "}\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(5,5))\n",
    "im = ax.imshow(us_data_reeq[i_us, :, :], aspect='auto', **us_reeq_pltargs)\n",
    "cbar = fig.colorbar(im, ax=ax)\n",
    "ax.set_ylabel('Azimuthal index $j$')\n",
    "ax.set_xlabel('Sample $k$')\n",
    "ax.set_title(f'USIT waveforms at depth {curves60B[frame60B.index][i_us]:.2f} m')\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Success! After correcting the waveform amplitudes with `WAGN`, the waveforms' amplitudes do not have the same sudden transitions any longer.\n",
    "\n",
    "While there is no difference between the `WAGN` and `UPGA` channels in this file, or indeed most of the other integrity logs in the Volve dataset, the logs from well F-12 do show such a difference. In these logs, the `WAGN` channels give a better correction than the `UPGA` channels do.\n",
    "\n",
    "\n",
    "### Finding the time axis of the ultrasonic waveforms\n",
    "\n",
    "Even though we now have all of the ultrasonic waveform data in the DLIS file, we are in a similar situation as we were in for the sonic waveforms: We do not know what the time axis of each waveform is.\n",
    "\n",
    "The `USFR` (\"Ultrasonic Sampling Frequency\") parameter seems like a promising first step, but its values throughout the DLIS files in the Volve Data Village dataset (500&nbsp;kHz, 666&nbsp;kHz, and even 0&nbsp;kHz) are much too low to be accurate when we know from the literature that the ultrasonic pulses can carry significant energy from 200–700&nbsp;kHz. For that reason, we'll have to discount this parameter.\n",
    "\n",
    "Instead, we can look more closely at the three depth-by-azimuth channels with time units, namely `WFDL` (\"Waveform Delay\"), `TTBK` (\"Transit Time\"), and `UTIM` (\"Time of Arrival of Waves\")."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 450x600 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "wfdl = get_channel(frame60B, 'WFDL')\n",
    "ttbk = get_channel(frame60B, 'TTBK')\n",
    "utim = get_channel(frame60B, 'UTIM')\n",
    "\n",
    "fig, axes = plt.subplots(ncols=3, figsize=(9,12), sharey=True, constrained_layout=True)\n",
    "\n",
    "ax = axes[0]\n",
    "im = paint_channel(ax, curves60B['WFDL'], curves60B[frame60B.index], ang)\n",
    "cbar = fig.colorbar(im, ax=ax, location='top')\n",
    "cbar.set_label(f'{wfdl.name}: {wfdl.long_name} [{wfdl.units}]')\n",
    "ax.set_ylabel('Depth $z$ [m]')\n",
    "\n",
    "ax = axes[1]\n",
    "im = paint_channel(ax, curves60B['TTBK'], curves60B[frame60B.index], ang)\n",
    "cbar = fig.colorbar(im, ax=ax, location='top')\n",
    "cbar.set_label(f'{ttbk.name}: {ttbk.long_name} [{ttbk.units}]')\n",
    "\n",
    "ax = axes[2]\n",
    "im = paint_channel(ax, curves60B['UTIM'], curves60B[frame60B.index], ang)\n",
    "cbar = fig.colorbar(im, ax=ax, location='top')\n",
    "cbar.set_label(f'{utim.name}: {utim.long_name} [{utim.units}]')\n",
    "\n",
    "for ax in axes:\n",
    "    ax.set_xticks([0, 90, 180, 270, 360])\n",
    "    ax.grid(True)\n",
    "    ax.set_xlabel('Azimuthal angle $\\\\varphi$ [°]')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, let's look closer at `UTIM`. As it increases from a low value at the bottom of the well (where the logging tool starts) to a high value at the top of the well, it might represent the times, relative to some initial reference time, at which each waveform was measured. If that is the case, we can expect that the time between the first and last values of `UTIM` corresponds to other time measures in the file. While there is no time index channel in the file, we can at least find an average tool speed from the `CS` (\"Cable speed\") channel that we can compare with."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "UTIM at bottom:  14.10 min\n",
      "UTIM at top:     56.35 min\n",
      "UTIM difference: 42.25 min\n",
      "\n",
      "Mean cable speed: 16.83 m/min\n",
      "Depth range: 710.18 m\n",
      "Expected bottom-to-top time: 42.20 min\n",
      "\n",
      "UTIM-cable time difference: 3.008782484166204 s\n"
     ]
    }
   ],
   "source": [
    "utim_bottom = np.min(curves60B['UTIM'][0,:]) / 1000   # Converted to from ms to s\n",
    "utim_top = np.min(curves60B['UTIM'][-1,:]) / 1000     # Converted to from ms to s\n",
    "print(f'UTIM at bottom:  {utim_bottom/60:.2f} min')\n",
    "print(f'UTIM at top:     {utim_top/60:.2f} min')\n",
    "utim_diff = (utim_top-utim_bottom)\n",
    "print(f'UTIM difference: {utim_diff/60:.2f} min')\n",
    "print()\n",
    "\n",
    "cs_mean = np.mean(curves60B['CS']) / 3600   # Converted from m/h to m/s\n",
    "print(f'Mean cable speed: {cs_mean*60:.2f} m/min')\n",
    "\n",
    "depths = curves60B[index60B.name]\n",
    "depth_range = max(depths) - min(depths)\n",
    "print(f'Depth range: {depth_range:.2f} m')\n",
    "cable_time = depth_range/cs_mean\n",
    "print(f'Expected bottom-to-top time: {cable_time/60:.2f} min')\n",
    "print()\n",
    "\n",
    "print(f'UTIM-cable time difference: {utim_diff - cable_time} s')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The estimated time of the log tool moving from the bottom to the top of the well, as found from the mean cable speed, corresponds very well with the difference in `UTIM` values at the top and the bottom of the well. Thus, `UTIM` does seem to represent the time at which each waveform was measured.\n",
    "\n",
    "We can look more closely at `UTIM` to see when the different measurements at each depth were made:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 300x200 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Choose the depth indexes to plot at\n",
    "n_depths = 6\n",
    "i_min = 4148\n",
    "i_max = i_min + n_depths\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "# Plot the UTIM values for each depth index i against azimuthal angle\n",
    "colors = mpl.cm.coolwarm(np.linspace(0, 1, n_depths))\n",
    "for j in range(n_depths):\n",
    "    ax.plot(ang, curves60B['UTIM'][i_min+j, :]/1000, 'o', color=colors[j])\n",
    "ax.set_ylabel('UTIM [s]')\n",
    "ax.set_xlabel('Azimuthal angle $\\\\varphi$ [°]')\n",
    "ax.set_xlim(0, 360)\n",
    "ax.set_xticks((0, 90, 180, 270, 360))\n",
    "ax.grid(True)\n",
    "\n",
    "# Create space at the top for the legend\n",
    "ylim = list(ax.get_ylim())\n",
    "ylim[1] += 0.5\n",
    "ax.set_ylim(ylim)\n",
    "legend = [f'{curves60B[frame60B.index][i]:.2f} m' for i in range(i_min, i_max)]\n",
    "ax.legend(legend, loc='upper center', ncol=3)\n",
    "\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This indicates that the tool measures at every second azimuth during one rotation, and fills in the remaining azimuthal measurements during a later rotation.\n",
    "\n",
    "Next up are `WFDL` and `TTBK`. The latter is called \"Transit Time\", which we may assume corresponds to the \"Travel time\" defined in the [USIT article by Hayman et al. (1991)](https://www.onepetro.org/conference-paper/SPWLA-1991-KK) as the time of arrival of an estimate of the FIE envelope maximum. (While the Hayman et al. article describes a fast approximate method to find the envelope maximum, the [USIT patent by Wright (1993)](https://patents.google.com/patent/US5216638/en) describes a more accurate approach that we will follow in the following.) Thus, it represents the time the pulse takes from the transducer to the casing and back.\n",
    "\n",
    "This implies that the differences between high and low `TTBK` values at the same depth come from the tool being eccentered; the travel time is shortest when the transducer is pointing in the direction of eccentering, and longest when it is pointing against the direction of eccentering. This also implies that the waveforms stored in the `U001`, `U002`, `...` channels have been shifted to align their peaks.\n",
    "\n",
    "As the two channels do seem to have the same overall shape, but with an offset, then maybe `WFDL` represents the time of the first sample? Let's plot histograms of the two channels and their difference to have a closer look:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 450x300 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "time_diff = curves60B['TTBK'] - curves60B['WFDL']\n",
    "\n",
    "fig, axes = plt.subplots(figsize=(9,6), nrows=3)\n",
    "\n",
    "ax = axes[0]\n",
    "xlim = (60.5, 87.5)\n",
    "ax.hist(curves60B['TTBK'].flatten(), bins=np.linspace(xlim[0], xlim[1], 217))\n",
    "ax.set_xlim(xlim)\n",
    "ax.set_title('TTBK histogram')\n",
    "\n",
    "ax = axes[1]\n",
    "xlim = (53, 80)\n",
    "ax.hist(curves60B['WFDL'].flatten(), bins=np.linspace(xlim[0], xlim[1], 217))\n",
    "ax.set_xlim(xlim)\n",
    "ax.set_title('WFDL histogram')\n",
    "\n",
    "ax = axes[2]\n",
    "xlim = (6.55, 7.9)\n",
    "hist = ax.hist(time_diff.flatten(), bins=np.linspace(xlim[0], xlim[1], 217))\n",
    "ax.set_xlim(xlim)\n",
    "ax.set_title('TTBK – WFDL histogram')\n",
    "\n",
    "for ax in axes:\n",
    "    ax.set_xlabel('Time [µs]')\n",
    "    ax.set_ylabel('Bin frequency')\n",
    "\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`TTBK` and `WFDL` do indeed have the same overall shape, and their difference is almost always between 6.7&nbsp;µs and 7.7&nbsp;µs. But the most interesting result here is the `WFDL` histogram, which indicates that the values of `WFDL` are quantised, with a constant step separating them.\n",
    "\n",
    "If the waveforms are all 120 samples and aligned to each other, this implies that a longer waveform was originally recorded and that the waveforms present in the files are shorter extracts of these original waveforms, selected so that the peaks of all waveforms are aligned. If that is the case, the step between the `WFDL` values should represent the sampling period of the waveforms. Let's find out what that step is by looking at the differences between adjacent values of `WFDL`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Counter({0.5: 154695, 0.0: 89262, 1.0: 73334, 1.5: 14725, 2.0: 1997, 2.5: 736, 3.0: 432, 3.5: 221, 4.0: 96, 4.5: 42, 5.0: 14, 6.0: 9, 6.5: 9, 5.5: 8, 7.0: 7, 7.5: 4})\n"
     ]
    }
   ],
   "source": [
    "from collections import Counter\n",
    "\n",
    "wfdl_flat = curves60B['WFDL'].flatten()\n",
    "diff_counter = Counter(np.round( np.abs(wfdl_flat[1:] - wfdl_flat[0:-1]), decimals=4))\n",
    "\n",
    "print(diff_counter)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Thus, we have found that the step is 0.5&nbsp;µs, which seems to be the waveform sampling period. If so, the sampling rate of the ultrasonic waveforms is 2&nbsp;MHz.\n",
    "\n",
    "We thus assume that `WFDL` specifies the time of the first waveform sample, `TTBK` the arrival time of the pulse, and that the waveforms are sampled at 2&nbsp;MHz. We can test all of this to check that it fits, by comparing the difference `TTBK` – `WFDL` with the time between the first sample and the pulse arrival. We find the arrival of the pulse through a quadratic fit around the peak of its envelope. The envelope is [found as the magnitude of the analytic signal](https://en.wikipedia.org/wiki/Analytic_signal#Envelope_and_instantaneous_phase) found through the [Hilbert transform](https://en.wikipedia.org/wiki/Hilbert_transform)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate TTBK - WFDL\n",
    "ttbk_wfdl_diff = curves60B['TTBK'] - curves60B['WFDL']\n",
    "\n",
    "# Compute the envelope of every waveform in the file\n",
    "us_env = np.abs(signal.hilbert(us_data_reeq, axis=2))\n",
    "\n",
    "# Compute the relative time (time since the first sample) of every sample\n",
    "us_t_rel = 0.5 * np.arange(120)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can first look at a single waveform and its envelope, and the peak found from the envelope"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TTBK - WFDL for waveform: 7.48 us\n",
      "Envelope peaks at 9.42 µs after first sample\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 300x200 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "i_us = 4150    # Depth index of waveform to look at\n",
    "j_us = 0      # Azimuthal index of waveform to look at\n",
    "\n",
    "def find_peak(envelope, t_rel):\n",
    "    \"\"\"Find the time and amplitude of an envelope peak accurately using a quadratic polynomial fit\"\"\"\n",
    "    i_max = np.argmax(envelope)\n",
    "    i_range = i_max + np.array([-1, 0, 1]) \n",
    "    fit = np.polyfit(t_rel[i_range], envelope[i_range], 2)\n",
    "    t_max = - fit[1] / (2 * fit[0])\n",
    "    max_peak = np.polyval(fit, t_max)\n",
    "    return t_max, max_peak\n",
    "\n",
    "t_peak, max_peak = find_peak(us_env[i_us, j_us, :], us_t_rel)\n",
    "print(f'TTBK - WFDL for waveform: {ttbk_wfdl_diff[i_us, j_us]:.2f} us')\n",
    "print(f'Envelope peaks at {t_peak:.2f} µs after first sample')\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(us_t_rel, us_env[i_us, j_us, :], color='0.6', label='Envelope')\n",
    "ax.plot(us_t_rel, -us_env[i_us, j_us, :], color='0.6')\n",
    "ax.plot(us_t_rel, us_data_reeq[i_us, j_us, :], label='Waveform')\n",
    "ax.plot(t_peak, max_peak, 'o', alpha=0.5, label='Envelope peak')\n",
    "ax.set_ylabel('Waveform [arbitrary units]')\n",
    "ax.set_xlabel(\"Relative time $t'$ [µs]\")\n",
    "ax.set_xlim(0, 60)\n",
    "ax.legend()\n",
    "ax.grid(True)\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This was around 2&nbsp;µs off from what we expected. What do we find if we investigate the statistics of this difference for every waveform?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "t_peaks = np.zeros(ttbk_wfdl_diff.shape)\n",
    "\n",
    "for i in range(t_peaks.shape[0]):\n",
    "    for j in range(t_peaks.shape[1]):\n",
    "        t_peaks[i, j], _ = find_peak(us_env[i, j, :], us_t_rel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 300x200 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.hist((t_peaks - ttbk_wfdl_diff).flatten(), bins=np.linspace(1.85,2.2,100))\n",
    "ax.set_xlabel('Time difference [µs]')\n",
    "ax.set_ylabel('Bin frequency')\n",
    "ax.set_title('Difference between relative peak arrival time and (TTBK – WFDL)')\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Unless our assumptions about the meanings of the `WFDL` and/or `TTBK` channels are incorrect, this means that `WFDL` and `TTBK` use different reference times. In that case, the values from one would need to be offset to be directly comparable to the values form the other.\n",
    "\n",
    "Another look at the list of USIT parameters shows us that there is a parameter called `USTO` (‘USIT Time Offset’), with the value of –2&nbsp;µs. If we assume that `WFDL` must first be corrected as `WFDL`+`USTO`, the aforementioned difference becomes close to zero:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAUgAAADDCAYAAADgFIicAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAexAAAHsQEGxWGGAAAaEElEQVR4nO3de5gcVZ3G8e8bTLhKEEQEAwQQb4BZ8IKuIAFFECKSAIIgPAEXF1x02QS5mGXFRSQLSyKB5aYIGIIJJAHMEkQwFwIC4iUgrrgqEhLxWREQlFsC+e0f5zTTdKpmemZ6+pJ5P88zz1RXnz7ndFX1r8+pPlVHEYGZma1pSKsrYGbWrhwgzcxKOECamZVwgDQzK9FtgJQ0UtITkhZIulPSBZI2yM99Q9L6kjaQtEjSHdXLzal+t3W/WtLOdab93EDXp7fydtyo5LmRkj5W9fjy5tVsjbr8pIF5jZf0wf6WX70/K8dpI+rXFyX1W1fSDElj835eKml5Xn4i/39Y0m/y8oR8PN8vabGkWyvHRuU4kTRE0vWSjutF3X4jaW5eXippnbx8o6TT8vLfSfpuVSxYlP/2kTQ613uBpCWSJlXlUXr81lm3kZJmVz0eLek/8/J/Srpb0l2SzpR0Ysk2W0/SZXmb3S3psPz6TSXdW8lf0jWSNiyqRz0tyMURsQ+wF/A88FWAiDg5Il4ARgEPRMRHa5Z72gDt1HptWYDs43YYCbwaICPiHxtWoSaqfu+ShkTE1RFxTwOyfnV/Vh2n7eRwYH5E3BgRo4GTgVkRMToiNs/rJgMX5nVT8uuOjYi9gCXAwTV5Xg7cFxHf7kU9nomIcXn5IWCnvCzSZxlgd6CyTxbn+oyOiAV53awcH/YG3gqcUG/hOeiN70V9kbQTsG1EfCgi9gAujohLS7bZmcAjeZt9DPiSpLdHxFPAEVXZzgU+U1Re3R/OSOOBzgYOyhWtfENcCIyTdEn1co7e1+Zvl+9J2jh/K9wpaRZwmqT3SlqYv31OyfmeJWm6pPk58q+f10+SdE8udxdJb5R0U85/RuWbq8a/KLVsZ0laR8lFucw7JI2QdCLw9pzvAZJuyeV9R9K/Vd5r/r9/ruuPJH06r9te0m359VPzuvGS5kial7/1t6zZyeMlzZQ0D9g/P67ku09N2l3ydrhH0sV59YnA4bnMTSX9RNJQSXdXvW66pHcU1a8m/0V5m9wp6cK8rmjfDcnbbLGk2yVtXJPPv0qaVLNu35z+fkmnl7z3/5F0FTAl7/sxkk6RdHhOv4NSC6bb8qvKrN6f+6irhTVe0ty8T+6RdEzOb0HedmscGz3tB6UP+PeVWlwPKPdYJB2d98l3gaJW1MHA7UX1r9PGwLNVjycDf4qIC/qR573AByRtC/wOGJbXfyA/162IeJkUHw7pRx3q8SKwo6R35nKf7ibtIaSYREQ8R/oS+VRBuh+S41qtXrVeImIlXRuu4lTSt8jna5b/AViQv11m0PWt/hbg6Ig4l7Rjx0XEnsBekrbIaX4TEQeQdsy+kkYB7wf+Pn9T/BI4HZiW838QGFtQ5ftya/b3wCeBA4GnI2JvYBJwekRcCvw6f+vMB9ZTCrbrAjvlD8pjkkT6RvoIsCdwUk43Gfh8rtd6kt6by34mIj4BfBs4rKBuq/Lz95G+zT4M7Av8W0263wKjI+KDwNaSdgQupavF8RRARKwCfiVplKT1SN+yD3dTv2rzIuLDwBaSdqNg30XEauCg/G08n9QKAkDSOcALEXFOTb535/S7A4eoq6u7KiI+kbf3CGBCRJxc9bpZdB3Ih+f3Wlp+tZr9uaDm6SfzNl8I7JqPjQdI+3ONY6PmtUX7AWBoRIzN6Y/Lx8QE4EPAF/L7qzUiIv5UVP8eXCXpPlKAXVS1fhzpw98f95L20+6kY3K5pK1JLcmf5zR7qauLvWlBHo8DWxasb5iI+B3pmL5E0v9K+mQ3yYdFxEtVj1cAWxXk+Tdg86IMXtebyklaF3ipx4TJu4D3SToGGErqFkDqgq/My+8GbkyxhzcAW+f1lR2yPK9fH1iSW7FExGpJ7wJ2V2rlrQ9ML6jDT/P/+4EdgQDGSvowqRuxvOA1PycF00dzffbJdd8ceBvwg5xuk7zuHcCV+T28Hrit4D28p6Cc+/P/HUhdm4X5ce2O2g6onPvdnoIdXGUmKXDcTwoilNSv9rxY7XZaY98p9RYuz18YmwKV80PbAvsBRecO3yPpKzmPkcCbat47wG9rWwERsVzS8NxK3C+//7Lye+PB/P9x4Lm8/AfSMbYD3R8bZfthaf5fOVY3B1bkD+ZLkn7fh3qWOTYiHpJ0EHAeXd3Z8cAcSR+NiGcqiXMQm1v1+lMj4scleT9A+jz+BbgIWIfULX0uIlbl42dxRBxalX9tHluRtm23lM4RH0n6DK2n1M1eEBH/XpXsRVIjpWI94AWAiJgJzJT0ZlLr7+aSolZKWrcqSI6op37VehUggTOAm+pM+zBwT0RMB5A0lNR6XF2V5gHg0Ih4Jn/zrgbGkAJZhYBfAZ+WdEFEhNK5q4eBGyNiSVX+tXYlffjfSwoKq4DrI+LsmtdUl7eE1Ir7CvBO4J+Bo4A/5zI/FhErJQ3NB86vgVMiYlluZa5DOp9R+x5qVbbDI6QP7pj83mrfx4nABRFxh6Tv5bxW5XJqLQT+nfRhPiOvK6pf0Xa6I2+nRcAWrLnvDgJ+HxFHSZpICrYAy4BzgWskHR0Rr1TleyrpQ/wI8LOq7VB9DFQvV7sJOI10DuklSWNKyi9SdnlYlCyLtG+Ljo2Kov1QlM8TwAhJw0jd6+0K6rFC0pv62IoEeJquLxuAHwHnAzdIOjD3Jsi9i9H1ZJiP5eeBURHxaP6MzSUdFz2S9DpSy/uGOsq6ArhC0mhgZERcXZDs/0jbcYOIeB7YA3gwB31FxJOkYL6qm6Lmkj6/5yn9CHMCcHRB3Tci7bc11NPF3iufl7kT2JD8I00driB1jxdIWkDVjwpVTgfmSloI3EL6llhDRDxICnD35LQ7AeeQzjFW8h9V8NL3SPohqXVwMzAP2Cy/nwXAMTndr5XOGX4IuCvndRdwJ6k79HDu4n0NuD3XYUZ+7WnAZXnd7XTfwit6b38mtfwW5zxqzyPNAy6UNIeu/fWL/N5ukLRJVV6vkALR1hHxaC/q9/G8f/8cET+leN/dm9PdQtfJ/Eq5c0gt1m/qtc2KOcCNwLXAX+vdJtkNwCmk7jbdlV+gen/Wq+zYqH6+dj+sIe+Db5CC1jTgsYJkN5NOp/TWVUrnw88jHf/V5V5Pak1d0Yd8K+6nq5X2CKlB09P5x8Pz9lpIOg3xzarn5imdz71DvfwxMvcWJ5E+b4tIXfc5wHBSr3NJLrP2tE61s4G35mP7dtIX3MMF6T4C/HdRBgpfiz2o5YNvTD4PY02QT1VdFRFHtrgei0nnZcf1mHgtkluh3wMejIjPS7qGdJ7+uTXSOkAObg6QZuUcIM3MSvT2R5rXkLQ96TzB8Ig4VNIepCErr5B+in8WuARYCSyKiBmSjiQNKl2XdOKb2jT9qZOZWaM0pAUpaXYOkLNJg0xfIf2Y8yngLxExT9KsiDhc0g0RcVj+VfINOYvXpKnNf9y4cTFy5Mh+19PM2tPUqVPnRsRADzLvtX61IAuMIrUg9yMNjdmC9IsrpKAJXcMilgG75OXaNABI2g/Yb+zYsUyZMgUzWztNnTp1WavrUKTR10P/KtIlR0+TxqmtoOtKgtqytsnPl6aJiNsiYoJbj2bWCv09B7kZaRzSrpLOAK6VdClpvORE0s0tLpZ0IGkcGcBNOc36wD/ldbVpzMxarl8BMo9mr717x/U1j4+tec11wHXdpTEzawftdMsxM7O24gBpZlbCAXItMfL0Wxh5+i2trobZWsUB0syshAOkmVmJRg8Utxar7mY/OvnAFtbErPO5BWlmVsIB0syshAOkmVkJn4PscN0N7ak853ORZn3jFqSZWQkHSDOzEg6QZmYl+hUgJW0v6cp8J/HKuuPybGlI2krSDEnfkbR3XjdR0sWSLleyRhprLF+GaNY3/QqQEfFIRHy28jjPUfNGuibh/ixpbprxwPF5MvXdIuIk0l3E96hN05/6mJk1UsO62Hli8ImkSdMrRgDLI2J1frwZXcFzWX6+Nk11nvtJmvLoo482qppmZnVr5DnISuvxPGCUpAPI0ynk4AnwZE4DNVMuVKV5ladcMLNWatiUC8BhlRkJJY2IiPmSlpK6zy8D34qIlZJ+JulC0rSvl5BmQXw1TX/qY2bWSAMx5QIRcWj+/zhwTM1ztdMTrpHGzKwdeJiPmVkJX2rYoTxsx2zguQVpZlbCAdLMrIS72IOI7zZu1jtuQZqZlXCANDMr4QBpZlbCAdLMrIQDpJlZCQdIM7MSDpBmZiUcIAcp32XcrGf9vd3Z9sAkYHhEHCrpKmAlMAz4B2AL4HzgFeCqiFgoaSKwHTCUdCegLWvT9KdOZmaN0tApFyLi2Ij4R+BZYCs85YKZdbCGd7ElvQNYNyKW4ykXzKyDNTRAStoZOAX4Yl7lKRfMrGM1bMoFSZOAk4BbgWmSvgZciadcMLMO1egpF84pSOYpFxrEvzqbNZeH+ZiZlXCANDMr4QBpZlbCAdLMrIQD5CDnSw7NyjlAmpmVcIA0MyvhAGlmVsIB0syshAOkmVmJwgApafdmV8TMrN2UtSD/XtJ1kj4jaWhTa2Qt4eE+ZmsqDJARMRX4PHAUcLukE5taKzOzNlB4Nx9JU0lTIpwREUslnVuSrnbKhSOBvUm3MqsE1UtI0zAsiogZ9aRpzFszM+ufstudXRARKwAkDYmIM4oSRcQjwGclzc6rxkbEYZLGAOPyutkRMU/SLGBGnWnMzFqu7BzkhKrlr/civ8j/XzOdQl73Si/SWBWfHzRrjbIAuUHV8kZ9yPc10ymUlNVjGs9JY2atVNbFvlvSXFJrb17Zi2umXDgDuEnSpcD6wD/lZBdLOrAqn3rSAGlOGuC2CRMm/Evv35qZWf8UBsiImA5M7+nFBVMuAFxX8/jYmtdc11MaM7N2UPYr9hRgC0AAEXFkMytlrVN9rvPRyQe2sCZmrVfWxX48IiaUPGdmNiiUBcg9JQl4DiAiLmlelczM2kNZgKyemjVK0piZrdXKhvmMAMZExGJglybWx8ysbZQFyA8Cf83LI5tTFTOz9lIWIF8GkDQceHPzqmNm1j7KAuTVwFuBy4ALmlYbM7M2UvYjzcbAlVXLZmaDTlmAfGf+vyGwB3Bnc6pjZtY+yi41vLyynMdD2iBUuarGV9TYYFV2qeENpPGPQbrbjpnZoFPWgjys2RUxM2s3ZS3IW/NzQRry87eI+FRPmUnaBpgGPAX8L/AYvZyCISKe69c7MjNrkLJhPj8G9gc+Dvy0nuCY7UKaPuE4YFfS9ArHA9eTplcYl58/Hjgov6Y2jZlZWygLkG8DtgS2AnboRX73kuaoWQB8n75NwWBm1hbKAuRZwMnAF4Gv9iK/Y4GvRMQ+QPVPn72ZguFVnnLBzFqpbBzkNsBTEfF1SUcAv64zv+8DZ+Xzio8CP+vjFAyAp1xol4m6PNzHBquyAHkI8Hhefi8ws57MIuIh4NCa1X2ZgsHMrOXKutgvQJoTG9isedUxM2sfZQHyFlLL8WbcujOzQWqNLna+tPBdEXFQQXozs0FjjQAZESHpfZI+DTyT181ves3MzFqsqAU5HLgDGAZs3vQaWdvylLA22BT9ij2JNMRncrMrY2bWTooC5DrA0ZJ2A0Tqddd7qaGZ2Vqj6BzkREnfjohftqJC1hk8eNwGg8JhPg6OZmbl4yDNzAa9svtBfpR0yeC6pHOQxzW1VmZmbaDsWuyDgVOAVc2rikH73KDCzMoD5OOku+usbmJdzMzaSlmA3BE4Ly8HUFcXO9/c4mzSXNo/IbVAPeWCmXWkoitp1iXdl7Ev071+knRD3CdJN789ISIOkzSGrukUZkfEPEmzgBmkKReq00zvQ7nWIh7uY2uzohbkl4Gta9bV+yPN24EfRcTlkmbT1UVfRpqvBuAX+X/RlAuVNGZmLVc0UPwrlWVJ7wZ+24v8VpC6z5ACYKUVWj2dwghgKXVOuQDsN3bs2F5UwcysMYq62FNJN8l9GvgjsDPwmTrzmwtcJGlP4E7gaU+5MDi4q21ro6Iu9tCIOEbSFRExWdK0ejOLiOeBz9as9pQLZtaRiq6k2VbSAcCb8v+Rza2SmVl7KAqQs0n3gbwx/5/T1BqZmbWJoh9prmlFRczM2k3ZQHGzPvFdx21t4rv5mJmVcIA0MyvhAGkDZuTpt/juRNbRHCDNzEr4R5o24ZaWWftxC9LMrIQDpA04n4u0TuUAaWZWwgHSzKxEw3+kkbQhsBg4i3QD3e2AocAJwJbA+aR7RV4VEQslTaxOExFRlK91Pl9lY51mIFqQpwHX57x3i4iTSHcR34N0K7TJwHjgeEnDCtLYIODzktYJGtqClLQv8D/AesBw4In81DLSncRHAMsjYrUkSDfmrU1jZtYWGt3FHg1sCLyL1I1+Oq/fBniQNKXCCEnP5vVPAm+sSfMqT7lgZq3U0AAZEZMAJI0H/gy8TdKFpCldLwF+R+pivwx8KyJWSvpZTZrq/Dzlgpm1zIBcSRMRV5c89ThwTE3aKQNRB+sMnsvG2pmH+ZiZlfC12NZWPBTI2okDZIt5qEvi7WDtyF1sM7MSDpDWtjyY3FrNAdLMrIQDpLU9tyStVRwgzcxK+Fds6xgeAmTN5hakdSR3u60Z3IJsEX+4G8uXLNpAcIC0juYvGhtIDpC2VvF5SmukRt8w92DgQGBj4EpgFzzlgpl1qEbfD/Im4CZJbwCmAMMi4ihJJ5GmUxhNuh/kL4FrJd1NmnKhOs2SRtbJBq/uut9uXVo9BqqL/a/At4DD8mNPuWBtqfbHHXfRrVqju9gitRBvBe4HTsxPecoFayu1rcui1mbtOgfMwafRLcgvAB8lTdj1VqB2OgVPuWAdq7e/mDugdr5Gn4OcBkzrJomnXLBBwy3QzudhPk3kMXtmncUB0qxJ/ANQ53GANGsBd787g29WYdYGfPON9uQAaWZWwl3sJnDLwOrl85TtxS1IszblbnfrOUCamZVwgDRrc25Jto7PQZp1iKIg6fOUA8sBcgD5W98GmqeaGFjuYputBdwNHxhuQTaYD1JrJQ8TaqyWB0hJG5Juc7YSWBQRM1pcJbO1grvf/dfyAAmMA2ZHxDxJs4COCpBuMVq789QTfdcOAXIE8Iu8/EorK1LLwc/Wdo06xtfWQKtWTyIo6Wjg6Yj4b0kzI+KIquf2A/YD3g/8uM4styXNb9NKra7DYC+/Heow2MvvbR22jYhDBrIyfdEOAXJD4GLgReCu/p6DlDQlIiY0pHIdWofBXn471GGwl98udeivlnexI+I54NgGZnlbA/Pqq1bXYbCXD62vw2AvH9qjDv3S8hakmVm76uiB4pK2kjRD0nck7V3z3DGS7pQ0Jj8eKWmppMskNexcRy/rIEmXS/ovSRObUP7ekq7Jz2/VyG0gacOc9zclHVW1fudc3gxJO+d1kyVNkzS5P2X2o/zf5ff8uUaV30MdDpA0X9JJVeuauQ2Kym/4Nuim/NPzcT5H0oiBOO6bJiI69g84E9iFFOivK3h+PDAmL48E7gK+A7yvRXXYE/hCXp4ODBvI8oFZef3OOV3DtgFwNPCJSjlV678JbEKa+vdy0nznF+Tnzge2btB2r6v8vO4B4Brg4w0+/grrkB+PBk7Ky03dBrXlD9Q26K78vG5sTtPw475Zfy0/B1kvSbsA59asfgJYHhGrJfWUxbKI2EPSBsBM4KAW1GEEsDwv/wnYDPjjAJavvH5ZLrvf26BK2fCs4RHxl1zf1wNvoes9P8Zrt0F/1Fs+wK6AgFuAWxtQdk91qNXsbVBkILZBafmSNgI+BXwOGEM/jvtW6pgAGRG/IG3oV0k6Exgh6dk6Xh/5//N1BLIBqQOwAhiVlzcHnhzg8ldLGkJqwaxoxDaosoL0AVnKa0/VPCNpOBDAX4E/5HQAWwM39bfgXpZPRKwGkPSipCGVxwNYh1rN3gZrGKBtUFi+pI2B/wJOjYi/SurXcd9KHf0jjaStgMnAy8C1EbFA0vSIODqf95sIvACcR/qGOwbYAJgXETNbUIfFdF1W+VhEXDDA5e8DfAYYCpwG7ECDtoFqhmcB++cydwZOzcnOi4iHJJ0LrAu8FBFn9LXMvpQPrCK9d4AHI+IbjSi/hzp8EDgDeAPwjYiY0+Rt8JrygYcYgG3QTflzScfcH4DrgYU0+Lhvlo4OkGZmA6mjf8U2MxtIDpBmZiUcIM3MSjhAmpmVcIA0ACStn6+0+J6kJZIekbRXA/K9WtJGks7Pj78k6SJJ785Xe5Re2ZGHKDVMrsspdaY9QtIdjSzfOk/HjIO0gRURLwAnSBpNuvLmb8DrJY0H9iYNVfojafjGzqRBwHsBBwLrA3Mi4gcAktYDvg38nnSVD8B2kkYARwHzSVd6bAKskHQ48AFgY+Ai4GBgU+Dnkp4veO71pGFND0fEVTn4vo40CPsi4BzSkJp1gJMjonoQ82W5jrMj4lBJ+wNvJg1BGU0aO/nliJgp6dA+b1BbKzhAWj1ui4jrJP0wIj4i6cvATsAXgZ8CfyHds/MHOf2+wO05eO1WySQiVkhaCnwdeCOwTUTMl7QE+CFpPN37c/JZEXF3yXPXR8R9kr4r6T5gZUR8CUDSx0mXVP6KdD/Ct5ACZ092AB4Ebo6Il3q5fWwt5QBp9ahcpfNE/r+S1EIbAnwtIl4ueM3K/L+eYPNCRJxVeSDpLOCZbp57rvIw/1VfFTIEuDsipvVQ5tD8f0OAiDhb0ijgfElnRsRv6qi3reUcIK0/pgHfkvQU8JOIuC6vvx24UNLmpNZcT66VdAWpG187B0B3zxERv8znT88n3b36MuCy/HgT0k0SXiwocwtJ/0Fqyb5O0jBgR1Kw7ZhL4Wxg+UoaGzQkXU26w83fKucge0jfYxpbu/lXbBtMHgaOB6gjOB5BupbYBjG3IM3MSrgFaWZWwgHSzKyEA6SZWYn/ByngNZt4DaduAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 300x200 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate TTBK - (WFDL + USTO)\n",
    "usto = f.object('PARAMETER', 'USTO').values[0]\n",
    "ttbk_wfdl_diff2 = curves60B['TTBK'] - (curves60B['WFDL'] + usto)\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.hist((t_peaks - ttbk_wfdl_diff2).flatten(), bins=np.linspace(-0.15,0.2,100))\n",
    "ax.set_xlabel('Time difference [µs]')\n",
    "ax.set_ylabel('Bin frequency')\n",
    "ax.set_title('Difference between relative peak arrival time and (TTBK – [WFDL + USTO])')\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The remaining differences that we now find is much smaller than the sampling period of 0.5&nbsp;µs. While we don't know exactly where they come from, they might simply stem from the USIT processing having a slightly different method to estimate the time of the envelope peak than the method we have used here.\n",
    "\n",
    "We can then find the time axis of every waveform by using `WFDL`+`USTO` as the time of the first sample. We'll put it in an array with the same shape as the waveforms, i.e., depth by angle by sample."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "us_t0 = curves60B['WFDL'] + usto\n",
    "us_t = us_t0[:, :, np.newaxis] + us_t_rel[np.newaxis, np.newaxis, :]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we have a timestamp for every waveform sample. While the waveforms in the `U001`, `U002`, `...` channels were stored aligned to each other, we can use this time information to plot the waveforms with the same shift that they were originally recorded with. As an example, we can plot every waveform from the same depth into a polar plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/0k/6fvjhp7x2659gf4_pbq0zkj40000gp/T/ipykernel_37145/155844224.py:35: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.\n",
      "  return ax.pcolormesh(np.radians(ang_mesh), times, data, vmin=-vmax, vmax=vmax, cmap='seismic')\n",
      "/var/folders/0k/6fvjhp7x2659gf4_pbq0zkj40000gp/T/ipykernel_37145/155844224.py:32: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.\n",
      "  return ax.pcolormesh(np.radians(ang_mesh), times, data, vmin=vmax-50, vmax=vmax, cmap='CMRmap')\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbwAAADkCAYAAADjGpHxAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAexAAAHsQEGxWGGAAEAAElEQVR4nOydeXxcdbn/398z+2QymSSTPWmnadqmaZqmtIQCpZRSFCoioj9ERYQri7iAcrleRC8CKrjgjqKAioiKBRFZyl5KKVJKC2mbpmmbpmmzJ5NkMplMZj3n98c5c2YmGwXZmc/r1WbmzJmzJd/zPs/zfRahKAoZZZRRRhll9H6X9E4fQEYZZZRRRhm9HcoAL6OMMsooow+EMsDLKKOMMsroA6EM8DLKKKOMMvpAKAO8t1FCiDuFEMdpr78mhHhMey2EEM3/4bZvF0I8J4RY/GYca0YZvdslhPAIIQaEEJu0fze/Cdu8UAjxlTfj+GbYx2ohRIcQ4tIpPtuechwHtPP6d2JcCyGuEkL0CiFq38pjfL/K+E4fwAdMW4HjgJeAY4CYtnw+0PIfbnupoijHvtZKQghJURT5P9xXRhm9W/ScoiiffKcP4g3o74qi3P4a6/xCUZRbhRAnAFcCFyuK8lMhRN3bcHzvS2UsvLdXW4EV2ms7sFsIMV9b9pJmob0shLgGQAjxLyFEifb6C0KILwohrEKIe4QQG4UQDwkhnEKIHwHV2tOgWQjxEyHEFm0dj/b9ZiHEH4GfCiHuEkL8TgjxrGZ1/p8Q4kUhxC3aul8UQmzTvv/xt/cSZZTRfyYhxF4hxJ+EEI1CiM8KIUxCiBdSPv+zEKJaCFEphHhCGzc/m2I7V2njYosQ4hht2SuaN+VFIcT/aMvcQogHtfHyFyGEQQixQgjxkjbGrn+N4/2cEGK7EOJvgGOKVZyA/z+5JhlpUhQl8+9t+of6gPEqUAj8BvgY8Dnt9ckp67wM2IDzgSu15RsAN/AV4L+0ZZ8CrtZeb9d+Lgfu1V6fBPxBe+0HcrXXdwGf1V7/G/iY9vplwARsBJyJ43mnr1vmX+bfVP8ADzAAbNL+XaktH0aFhBN4SVt2J7AEsAKbtWXrgbna69u0sXOhNsaKgc3aePQAT2nrHQIWaMs3a2P5FmCN9vn/Ap8Evgus05ZJE457NXCL9tqg3RMs2vgOaMsvBA5o++gFlqd8/y6g9p2+/u/FfxkL722UoroSvcCZwDbt33Go7k1ZCPE08CzqACsE/gWcJYRwA7KiKF6gBrhcCLEJuAJ1kKSqChVcaD/naa9bFUUZTllvl/azO+V1H+pN4hrgF0KIu1K+n1FG70Y9pyjKau3fL7RlbYqi+BVF8aMCBeBe1AfEM1AfHgGqgd9rY6kBKE/ZrgfYqSiKrChKO+DSlgcURdmnjeWdwBzUMXmDtp1zUGH5a2CdEOIvwOkzHH8B0KkoSlgb34dSPvuFoiirUEH9Wu7PjI5CmTm8t18voYLq04qi9Agh5gIK8A3gi0Ab8AogFEUZFUIMAlcB92vfbwFeVBTlzwBCCNOE7bcCZ2uvj0V9SgSYOG+nTPNaALsVRblImzv4X+C/3siJZpTRO6Spykc9C9yICqhvasv2oXpIDgshBCocz9c+awfqhRASMAvwacsdQoh5qOOsTluvBfinoijPgz4mjYqifEUIYQZ2kITsRA0A5dp6Du34JmoUyHvt087otZQB3tuvrcBXSQapBICDwHbgn8Bu1D/whNYDfwJKtfe3A7cLIS7S3v8EeDSxsqIo24UQPUKILahBMRfx+nWbNvdnAb71Br6fUUZvl07WLCuAZkVRvjTVSoqixIUQrwD1msUG6sPcb4UQViBOyoOdoii9Qoh/obr8ZdQxC6q79GvAMlTI9Qkhvg/cIYS4QVvnG8BKIcQ5qPfYu6Y7eO24fq7tpwU4kvLxlUKITwJZwHde4zpkdBQSmk84o4wyyiij15AQYruiKMv/w22sAH4H/Fp57UjNid+9ChXM5yiKsv8/OY4PojLAyyijjDI6Sr0ZwMvonVMGeBlllFFGGX0glInSfJ9JCOESQnxHCDFTZFhGGWX0Jioz7t4bygStvMckhKgBrgcGgWcAM3AKaoDJ5cBpwEPAGuDxd+YoM8ro/aXMuHt/KAO8957OAH6lKMrzQoiHgLCiKP9PCHEmag7QI6hpDC/MtJGMMsrodSkz7t4HygDvvac/A98RQpwF5ANd2vLDwGItufz/3qmDyyij96ky4+59oAzw3mNSFKUf+LIQwgA8kPLRLKDznTmqjDJ6fysz7t4fykRpvsekJYRfi5qMehvqgDsJtfbmlxVFGXvnji6jjN6fyoy794cywMsoo4wyyugDoUxaQkYZZZRRRh8IZYCXUUYZZZTRB0IZ4GWUUUYZZfSBUAZ4GWWUUUYZfSCUAV5GGWWUUUYfCGWAl1FGGWWU0QdCmcTzd6m0ppQlQKnb7fYUFBQsMJlMcywWS57D4bAbjUajlCKgSJblHlmWZUVR5FgsJgeDwfFgMOiPx+Ptfr//QEdHRyvQA3QDo0omJyWjjHQJIYxAEVDicDhmlZSUzLdarVVms7kwKysry2KxmIQQ+pgTQpQoitIja4rH43I4HA4HAoHRWCzWFQwGWzs6OvZFo9Fu1HE3qCiK/M6e5QdbmTy8d1hCCBtQN3/+/NOys7NXFBQUFDqdTqfL5bLNmTPH6vF4ssvLy20lJSWUlJRgt9un3E5TUxO1tbWTlkejUfr6+uju7qarqyvS3t4+2t7ePt7f3x8aGxsLDAwMeP1+f1NbW9tjoVDoZa1EUkYZvW+lVUtZUFFRcXJ+fv4p+fn5ZS6XKzc7O9s2a9Ys65w5cxwVFRVZpaWloqSkhJycHIQQk7Yz3ZiTZRmv10tPTw9dXV3y4cOH/e3t7WNdXV3hsbGxsaGhoaHh4eG2np6ex71e74tAZ+bh8+1RBnhvo4QQFmDpggULPpSdnX1cQUFBYUlJifukk05yr1ixwjF//nxUY+31a7rB91pSFIXu7m5efvnlyKZNm/oPHTo01N/f3z86Orrn0KFDjwWDwZcURfG9oYPKKKN3WEIlVc3s2bNPyc3NXe12u0sLCgoKGhoa8k488cS8xYsXY7Va39C23+iYA/D5fOzYsUPevHnzQFNT09Dg4GD/0NDQod7e3icHBgaeVxQlU67sLVAGeG+xhBDu2bNnf6qoqOjjc+fOnX366aeXHHfccVnz5s17w3CbSv/J4JtKCQg+/vjjvc3NzZ19fX2b9u3b9wdFUQ6+aTvJKKO3QEIIq9vtPn3WrFmfLysrm7dmzZqSk046Ka+2thaLxfKm7efNHnMjIyO88sor8tNPP92/ffv27p6ensb9+/ffEQ6Ht2VcoW+OMsB7CySEWLBw4cKLi4qKVtbW1pZ99rOfLWtoaJDeTMBN1Js9+CbqwIED3Hvvvf0vvPBCd09Pz64DBw7cOT4+/m9FUeJv2U4zyugoJYQomjNnzqcLCwvPmjdv3qxzzz23fO3atRabzfaW7fOtHnMDAwM8+OCD/kcffbSrs7OztaOj48/9/f2PKooSfMt2+j5XBnhvkkwmU01NTc01ZWVldatWrSr71Kc+5Z4zZ87btv9Jg0+e4YEwFkt/bza/rn0NDQ3x0EMPBR566KHOI0eOHDx06NCtQ0NDT2aeQjN6OyWEKKyurr6qpKRkdX19ffmnP/3p0mXLlom38sEyVRPH3KkL/jnj+mMMpb3fuu8LR72vUCjExo0bI3//+9+7Dhw4cKS7u/vew4cP/0lRlPHXd9QfbGWA9x9ICGGfM2fOF8rKys4//fTTKy+77DK32+1+83bg90/7UXfAmfb+yJEmZs1KDj7jDPG3ha7IzLsNpQPQ6ZxmRSAcDrN+/frAPffcc6ijo+PpvXv3/khRlN4Zd5BRRm9QQgipoKBgncfjufLYY49dcOWVV1bMnz//Tdv+2gX/mvFzCw799Yozw2x9JOkijRGa8bsjTD8sjKSPuS37PjftuoqisGnTpuhvfvOb9gMHDryyZ8+e70Wj0aYZd54RkAHeG5IQYs6SJUtuXLBgwYqvfvWrnhNPPNE4VRTXUamtbfrPPJ6j3kzTnj3ULlqkv4/Epn/K7XyN6fCZmD0T/FpbW/nFL37RsXXr1pbW1tYbfT7fC5nos4zeDAkhchYsWPCN2bNnn3XRRRfNOeecc7LMr9MzkdBHFzw77WcTrbCJUkg6MVadaWDzI0mP/lyjYdrvBWQ7Usp3x5X0QJkBpWviV9I0HQCHhoa44447Bh966KGDnZ2dtx05cuQeRVFiU66cUQZ4RyshhMjPzz+1srLy2lNOOaX6qquuKikqKvrPNzwD8LqtlVMul+U4FksUR6AHGfWJb393NwtKSxFCIAmBIRrFKElThlOTGpVWXDx5v71JWDoc6Z85HVN4LSe4kMbHx7nrrrt8f/vb31o7Ozt/f+jQoT8oijKzWZlRRlNICDGvvr7+e7W1tcu/8Y1vzFm8ePEbfLJMaiLwzCIJLZ8yOuV3JAksNjAYJSRJfb98Dbz8DCiyOoNgjmUTHhegTD7EClO6dRdW0mEdlJNj8og8OOn7Nlxp75/a99G097Is88QTT4R/9atfHWxvb9+wd+/emxVFmZneH0BlgHcUcrvdJ1VVVf344osvXnjBBRc43+iTJQC7dqW/r65Oe9vZb2R83E8oFMAe9xKKRpEn/I4MQmAyGhkT2QihQm1wsJu8vBIURUFRZGQ5TjwenbBzgclkJt8cxW6xkGO3Y/L50ldxudLedlOa9t7rVX/W1U4zXZcCP0VR2LhxY+Tmm29ubWtr+9WhQ4duz8zzZXQ0EkLMrq+v/9Xpp59+7NVXX12cn5//hrf17SW3p70PyOm5rDZDCGuuAVuRAYPDxLDdjmnCEJdlCAcFhQRRZFDi4F5kxNscQ0ggJIgaLZhsMBF3kRCIQIjwiEKgJ04wMNkS7IwmHzxtIt01WmhMcmtPJGfSdyfCb9++fdx4442HXn311Yf37t37LUVRApO+9AFVBngzyG63L6qpqfnlZz/72fovf/nLeW8YdBMhpymuKOyMzyYc9hGJBACF7GxBVpYTu91B/lAH1gULpk1f2NWSPJ7BwSby82eew1MUhXg8zOhoiFgsSCw2gtEYQ1EUTCY7FouLJZUSpsSXvd50axB0f2dzq5lYTH1bWpxkWKp1WFqa3O+GDRvGb7755n2HDx/+bmdn5z8zrs6MppIQwl1bW/vTVatWrb7xxhsr3ijoJkIuuQMIu3JwlkpkFwskkyCimAgMgr9XEPRDbnAAeeKzoianIcmO4g/n0vtEsk7DoUj5lN8x2aDCNYTZZcBebERyqOMrNq4w1hNjsNNAZDQ5HA5H0x8yi43qU2YChDJSGvhmG5MHe+eec/TXe/bskb/5zW+27tu378/79+//UcbLkgHelBJCVNTX1//qjDPOOO7aa68tdkz06x2NmpuTr7WoSFlRGAqFaA5nI8sxhDAwxzKKy2LBYTYjTeF+3BaomXYXDdXJoJamAweonTcv+WFo+gn0iKtQf+31qkCKRMYZG/PR1TVCYgqgbp6dwtxcjAkAhkLJCM9QCMrLaW5NQjcBwIlKgE+WZf785z/7f/Ob3zQfPHjwf7xe75ZpDzKjD5SEEFkLFy78/tKlS8+6+eab58yaNet1b+PiRQ/orxOQALAWGMitNmN2GlBkCA/G6OjIwt+r6GAzieS0V6pFNVFZUjIjwP0hN94nk/vpjhZO9ZVJSliYJhvklAkqZ41gzDaAEIx0K3S1GIkEkvflBNxsZFNm6p9kAfrlyfenVPC98MIL0euuu25/W1vbL9vb2+/8IHtZMsBLkRAiv7a29icrV65c893vfrfiDUVcpoIOiMbjvBLMJxQaRFEUbLY8amuLMJlMAJhDfvykR4J4k2OISkf/9PtKWbFpYIDagoLkZxNck9PuYKIpWK4+pcqyzLM7IkSjA0AMg8HJvHnFmM22pEXX25sGVr9bnXNsb58GfEb1XCIuF7/85S8H//a3vzW2tLRcMTY21jx57Yw+CBJCmObNm/eN6urqC2666aaq2tra151TkAo6UN2LnsoA7nkGJLMgNBBjZF+YpoEKfZ3E32JCqW5OizS9IZQK0okWnqxMf+iDcde0n1lEcn+lZUEcC7IwZBmIjcbYtyeb4V7VBRpHojNmwEa2vv5sc7f+elyeXDFmV2wAUB9qr/tJ2fgPfvCDlsOHD9/Q1dX10AfRy5IBHmpAyrx58762ZMmSr9xyyy2Vs2fPfv0bSQFdJB6nKxTCbzRiMhoZDRazZEm+7po0h/wQSLpG2kLpLoxUL2JpaPqglm3eZFCL39+E0/naSbDlE7wupe7kYOv2mtP3p1FLURRGx8bY1RYgFgsRj1uYM6eMSk/KXEgspoI0FJoWfJNuMnY73/ve93ofeeSRx/fs2fOlTE7RB0slJSWrq6qqfnXzzTfPX7ly5eueL0gFnWQAT02IPI+EosDokRi79uYTCye9JgNy8s/LJbLTtiWJpNFTZT4y7T4dKRbeROCF5elPIZpSp38iGFNhm7p9s1OiuFrBWmgiFhUcbjbT324gntLkxhd3ElMEHnOPviwVfAngJbR17yX86U9/8t96662vvvLKK+d/0EqYfeCBJ4QoP+aYY+657rrrln3sYx97/b5LLcpSURS8Y2P0+P0Yc3IIhmdjMmXrUZJ1xek3+36S7o9CJlhxKRZYm3V6l2aqp7W9vQmPRwVeoVtOm0tLVWqMysT881Rjz+VKhyFer57PECosZEdXjGAwgNnsxmotoaDAoMPNGehOAx8kUyFq3JMt1mavV7788subDxw48JXu7u7npj3hjN4XEkLYFi1a9Jtzzz133be+9a1Cg2H6cP6plBplWVfaRfFSEyaLwtDeKCOHokRl9Q95X6Qs7Xt5hiTwUlMEAOxS0lORb/Ad1XFUnO6g4/GjiwdJhVQqGHtj7jTIpb4GyDeqx2I1RzEvyMU2y0poMM5Q4ziH/IUYkAnIdsKKeRL4YoqRqGLkQCzKOOnn9MTWc/nyl7/c/vLLL/+ytbX15x8Ua+8DCzwhhKiqqvpaQ0PDFbfeeqsnNzf39W1AA100HqdjeBh/LEaQWdjtJUiSOoDramXVzAGaQ1OnGADUuLqn/azZVzrtZzW9G/XXTaEQtQnTcCZX7Ay5fanJ7BODN/V9Jo61sxOlrIzB0VG6h4cJKC7y8jyYzbZJ4EscU3NncvsTwRfLy+Omm27qX79+/SN79uz5Ssbae3+qtLT05Hnz5t1622231dTU1Lwu92UCdEIozKqJUVEdwzLkY6AxTCyoEFWM9Mbcesj/fEt7mrXjlJJwMokYQWXqotF2Mf38d0HK/F72aaWMPpUcu9PN4U23H1AtNH092Zo2l5hr8GPTQGwXISQhYxERTPkmnEucyCYTwzvH2HO4aBL4AMpNA0jI+vWYCL5t+y7jwQcfHPvud7/7smbtzZwM+D7QBxJ4QoiyY4455p7/+7//O/bss8/Oel1f1kAXjERoHxoiLklULFiAK2dCuHB7O4RCRKpUC23rVqivT37sbNmmv/ZXN9DSMvXuGtg29QdAv6chZXcpFt5MlVRaW6f/LMXNGqlvSPsoYXR6vaolmAbpzk7G43EOB4MMmAvIzS3Hbs9Lgs8hJ+f7UsBXUy2nzycCewYG4pdffvneffv2famvr+/56Q82o/eSNKvu1nPPPffMa6+9ttA4UymgCUqAzmhWqD4uQk6BTOyAj6H9McKymWENGmHFTK7BnwYlE0mAmERMBwjA2IT0hISMIkauNHWVI5NIRkQ6Tisj8FSSEb2xgqm+MikNIlWpFt3IhOCTxLxfjgZqmxTSYWwSMWJGE7lL7NhKzQRaQ7y6K5/xeDrgxxUrDik4CXyQrO5y/9bVfOlLXzq0Y8eOXxw4cOCX72dr7z0PPCHEFwAX8NPX+kVpc3VXLFu27Mrf/OY3c163VQeE9+/noNeLMBqpXLwYi8XCtu3qg2qDu023aCJVNTQ2pgdLrmKz/tpfvyptu1MmdMMkIKRqW3vyifJo5/BmCjhNnd9ztqekUoRCyS+Wl9MdcKYdViJ3vbB9G3FF4UgwSKcxj/z8OVitTkIhDW4wJfhcLtUoNftUqy8Wi/G922/vv//++x/as2fPVxVFmblm01FKCFEPfBz4i6Io+9+MbX5Q9XrGXVFR0UkLFiz4zW233bZw0aJFr89/CXysZiMLGqLkFsUZ2z5EsF8m16ACKayY6Y2pT1YJ0NlFaJJrMKHUiEajiE25DkCJcWDK5UPx5IPtxCjNqYJGYOaAlVQAGya4WaOK+lAQR2Iw7tLBB0m3q0VECCtmsudZyamxMbJnnNHWEN2x5L0hrkg6+BLbBOiIWYiRfDj+yg8IfPe7393+6quvflZRlOndTq9T76Zx964CnhCiEvgWkKMoyieFEN8A5gMFwEVAHfBdYA9wr6Iom4QQNwFbgWZFUaY1X4QQ9sWLF993/fXXn3zOOee8PqsOiDU10ebzEcnJYW5lJTabLR10mhKBJAnQrVopkzDfmkmfj0udQ6vzbmQqbXOsSTW80rTGnYRS0+AgtYmcpRmoljqvlirN86or9QG8pkobFKnWYYKOVquempCw6ArbtxGTZdqCQcL5+VR5PPQM5qSDL2WHiYoyqdADaN6/ny/8z//sfOWVV84Oh8MTjnBqCSGygOeA64HrgFeAw4qi3Kz9rXwLuEpRlJ8czfY+CHqrxp0QQixcuPD7n/jEJ/7rO9/5TtHrseoALq29n9I6QX6lhHdHkNHOeBroEtVJEssA/aaeiLT0xZ2ElKmDSSpNHdPuO6qYplyegCtA+enZdD6erMxyNJCdqNS5vdRgFrsUIq69NwiZoGxNWzehBAQtIkIYM65FdgxznPRtD9PfkX4OIcVMTAPeYNyi7T+SBr04AfJrHzy0Y8eOK9rb2x+Z9sAn6L0y7t5VwEtICHG/oiifTHn/deAFwAZcA/QB31MUpVUIcSmQA9wy3ZOmEKLiuOOOe+iee+5ZUlVV9bpKE8myzOGtW/FHIlS6XCiV9br7UQed10t3ueoCDIWg0qPd1FtaVDehNm+2rb0wzYpKjYhMjbicqAbPNKkJKXN1abU0e2eo3TydSzNlW92udDAnvmK1QkN9JH0bCWpXV9PvM+P1pk8huvp2c3B0FJxO5no8dPY70sGnXcxuVw2hkLqP1GjOwNgYF/z3f7ft2LHj8sOHDz85/YmpEkLcCASAZuC/gUPAc4qi/EkIsRT4BHD3O/2k+W7UmznuhBDW2trae2+++ea1Z5555ut6wFQUhW9//AFKFkv07JYZOKDopbkSoHNIQR1qFhHRYWGRImlWzJhsT3vvSoFjuXH6cdITm3o+LhVepR/OofuJEf196hxhqqYCFaDDJ6HUcmOJfL+YYiSsmIkrEgYtknR0ChdpqvXnw0nRMgv2IgO9W0MM9k8uY2YSMbpjaqSqASM+ujGjbldRFE769M6+9evX39bS0nLj0bg43yvj7l0NPCGEGfgZMBs4H/AriiILIYpQXSmffa1tlZeXr166dOmdf/nLX+Y6Z6p8PIW6t22jb2yM2U4neSUl+B2ltLRooNN8egnQJYI83G7VwgHA46HZW5hmoTUEUiy5lDqWu2LTR2PWGadOU9vYm/xOKNSE1TqzS9NonJyWkFClNcWDMRGKiS95PGzeIqWlTSTmJc0tmrWpgQ9UI85qVSNUgz09tI2OYnW7Eab5CCERCKjGaGWoWd9Pd0B1gabmH8pOJ9+7+ebQX//+9+tbWlp+ON35CSFOA/IBK+AFNmh/L38HLs/UFpxZb9a4E0KUHnvssQ/dfffdS6urq19XYMp/n3o/nuMNDB6U6d6tUGHsJdfgpz1aqs9fpYIuMQ+XmhA+JtsJKWZ9/q7ClIxczJbG9NdmESUgT83i/njelMtTA1pyPlTCyJM9U66XqtSUh1SlAi84wR068Tup6yYAPnHOD9Q8QX/cQRQjUaOZ0hVWjHaJ1udkotolKjAMcThaiknEGJEdjMliEvQkjIRNr8jD4v5/NDU1nT9TlZb30rh7VwMv5f25gE1RlD9p783AX1PXmUrV1dVfP/PMM6/+0Y9+VPp6emSFw2H2vfgieTYbZeXljGaX0dKi3pxrXN2qReeuAyaArle96Tcb1c8SoPN4koEkkZQ2II+kOAysVlhnndqtudm4Zsrlq6qTUGhqb6c2EYE5TZTmxk3TX4PUucaVK5OvnZ0psPV6Vfhp+9m8Jbm9FSvUnzr4ADwetrWoDxkJ8PkOH6YtGKSqoABrVY1+XSs9mus3BXoAleXJcXbfP/4Rv+H73//7nj17LlQUZVLxJyHE94EsoAYYBz6uDbzfAje+mfMS70e9GeOupKTkhKVLl97117/+dZ5rpuIHEyTLMj/+8oMIA7RtlimTVNANxl26RZNwXaaCLjGXNRh36a5LE7G0vLcllhbMKcEmRpLForvjU1tyqeunKlskn14Na+cSf/rga56bZZptpUZvDk2Y55M1qzCqGNMsxDzDCKMapP1xFXip4Ksw9epATIBPtlmYtcbG4ME4/r1q8LNdhBiMuwjIdoKKFVmRiCgG7dzj+LUg6ZDcwXjOH17asWPHWYqiTOlqei+Nu3cV8IQQ+cD3gdOAO1Enxe1ALqqZfCLwYW35bYqibJpmO8ZFixbd+Y1vfONjF1xwgev1HEP3c88xEImwYP58rCYT2zpL00AHQHExzV51oKSCTnddtjj16P9CVwS2bNEnxR7wrkqzkNatTd7QE5bRRFmtqpshFosSDoeIREJEImHMXa1qtwSgJxSi1GpFAFIkgkUIrNo/ixBqPuB05cYcjiSxgAceSR5Hgp3l5SmWWOI6aCeyOZSM6NTB17gtuU4K+Bo8/cRlmdZDhxDRKLMaVjI0JOH1amkcKfU7I1Y1OCY1H7Bx507+67LL/v3qq6+epSjK5LLygBDiQiCO+ncUAoYURblm6pPP6M0adwsWLPjSaaeddu0vfvGLsteTW/fDD91O4QkOBl4aI9wTBtQbfqrrLkcKMCI7yNYsuYm5clHFmGaVVRh79Tk1mxjX3YGQHlxiSOmUkKp8SU0oV0wGFIcVxWFBcVgJmHNAEiAJDAvyibcMgqwQi0so4zGUQBQ5EEEJRCGuYBaRaeHpSokETT2mjngJkHRxGpB1iBUa1D/5OAaGZXVMJcCXON84EiYR07+TCJrJX2zBVmGlY2OQ2LhCWDHrruDEtRuV45ixYRIxHXqRuB9L5Z/2vfLKK+d7vd7tU54M741x964C3pshIYSrvr7+od/97nfHNTQ0HHX1hkgkQstzz5FnNlNmtTK68LhksnRMA1pxMW0B1UVpNKYs93joDjjp7EwJVolp1prRyIZAMiIzFIJzylNSDVIg9IB3FRADRhBiBFDdL1XGdgRgAhVg2s+XzasQQgIE4fA+LJb5gEJ+fpxYLEw8HtJ+qjeRvFx10FssFlw5OeTk5GCxWGDTpuTxTAgs6K9OHrtmgAEqCJ0B7cGtsRHc7jTwaZxLunetVraF6vTP3G6wDTVxqK+Pqrw8AkVLk9BLqLeXiLt0EvT6+/s574ILWnbu3PmpwcHBqStzZ/S2SQghLVq06LdXXnnlJy+55JKjDn2WZZnfXXEPwiDo3zKKksKeBOxypAAd0WK9aLPHlG4spFpACXejQwpiE+Np7sdUaypOEsalhn4UIYi7s4kX5xJ3O0ESyfm0aBxGwxAIQyBCJATICsgKhhNnEX/hCEiCUSkbyWZEcpiQsk1IDiNCEtq+BEpUJtIbItIzTtwXJVcaSQOeOaW82KiStNj64/lpc3sJN61DCmIgngY+/bpqEIsjYUDWr8+YbCeeZaF4tZO+A4KxlkAa9AAORtUo1InQk5UYVac83vHss89+Z//+/X/kPar3FfCEEPkNDQ1P/fOf/1xamqhYfBTq3ryZgXCYBQ4HVoNBz4tr8PTrASBtjjoCgWSEflWVWiIsFXRud0pCtdvNhseTf0hpbsJQ0jPw9C47sVg/sjxGRbwdA5AjBDlCkKWeE7vK10153KmpAalzeNMFwyXXD6FC1QdEsNlACDMmUwGnLIome+htT3+Y61+ePI7ER4nzcga6VfAB3fXqeokHBh18muXW7a7Tg1tkOU7g4BYMBgP2OScghITPp1V6KZanhV4kEuEzF17Yvnnz5vP6+/tfmvqMM3qrJYQwLFq06O+//vWvP3LyySdPn2E9QbpVt22M8W7VAoorEsOyU68tmbBcnIYAboNPy0Mb1+fd4kj44w692LNRxKgwJOfUUiEXSYGGLSuOmJsPRQ6QBCY5ihgMIHpHEAOjCFkhqNjwyZPn/D3GZCWu0JparBvVRuOprs5UdcS1+5DZAEXZiOJscKkuRCUaR+7wI9qHIJ580EsFcqp1mLACg4qVOAZkRdKturBiIqxYiCpGff5PVqS0h4GAbNcbz9prnVjKbHRvCjAWVKM5E2kRLRE12nsi9ABOvWjPwF133fXDlpaW92SU8/sGeEKIouOPP/7Jf/3rX3UFBVMngE6ULMvs3bgRp9FIuc2GKCjQoyUTkZFtAdV16fWmgG7LRvB4iJRX6vEdNe5+1QSKxWD1agD8gSTwnNtVi09RFP45Uo8Q/UCEsjIH2dmFmM0O5u64D84+e9Jxbt46taG6qv1u/XWT1UrtDB0SgPTM9xTtoo5YLMT4eD/9/T5AQlHymT+/AElS6VnTviH5BatVT33YGGggFJoA9MbNEAjQXb8uDXoAhVY/bN9Od7U6L9nZqVqNtq6XOTQ6yiK3G1FdR2trCvTa24mUV06CXszr5bJvfnP4saeeOru7uzuZ5JjR2yJt6uCBO++880MrVqywHO33fvn5u7DkG+h7TrXqEuH3w7KTwZiLQuOQHsRRae7EJoUwIGMRYaKKSU8NKDQO6bl0CRdkqlKBZci3kLvAAjlWGI9iaetWAScrdMenbuS8wDi5jm22NEZMA9LwKcvJfVZ98psuBy81z27isSkmA/EKN2Ozy8AgQe8ogf1BlKB6TjEM2MXkgkNBxYaFiA4+gGwxRhyDHkWaCj67GNfTLBLVWGQkonYbJWtzOPJSHFPvMDYpxEBMdW0ejJQRJTQJegoyvYEnlbhz47f37t1705Qn9y7W+wJ4QojSE0888cmHHnpoUV7e1NFVExWJRGhqamKuEOREo+B2s81bSX19Si6Y282uJkm3mPRSXh4PzaFKAgENjCmg27Zd0oNV1pCE3MCiRezdN4CiKAwP5/GRZTLmxIa3JLvkrOfcScdqNMI5nb+cfBIXXqi/TG0PFLFOHY1q3joNExJ5FuXlsHIlcVlmcHiYV/YFgTgGg4uSktIk/BJVVhIRJ6jgSxwrpCTZBwJscyctw1AIVtX7dROxu3qNDr1oNMzg4ZeYazBgO/ZEWlvVy5oo0ZaAHqi7dYb6icfjfOX//m9kw1NPnXs0aQsZvTkSQpjr6uoe/uMf/3jKMcccM3XS2gTJskxLSwtP3fwSvt3qDTQBu9aI2g4oYa0luhI4pKAOuoSFElLMzNZcm/nSMAYh63CLKCYMWlCKodCGbZELyWIgPhii5NAeDCNJiyihVIsqVXONh6dcPiirXtvRNUvJ3viq+nqaaM8iw5TTzDo0E1KAaHE+o3NmI9stSCNBenfF1blAVKsuphj1GqB5Bh9BxQYkg3AS550AX2IOzyRi+jWEdOghQeHqHCL9EQZ2R7FJmiUoW9OgB2p07KA8ioSRHv8zSO5nf7B79+5vTnmC71K954EnhCg+6aSTnrv55pvnn3DCCUl33Azy+/20vvwyi/LysBgM+tySDrtYDIqL2dUkEQpp5b00ijUXq4ngbrd6kzZ7u9nWqbotAgE106CmWo04HO/vZ4exhFgshN1ewPh4sTbnBqusyXm8Zkdy7qvGOzWUJlZmAbjlluTr8vImOjtrtddTn/fEXq4Aa9cmX5duWZ98YzRCIIACDK9bx7btPYDAbK7A61X9/KefrrkyE8A0GumuUo+ztVW1hktbN+vXzr9SBZ/m+dTnORPWntqbT8YYeJHcWIzSefNo9pWmQQ8gUl5JZ6c2jxjqp62nhx/84heBR5944qyurq5kZeGM3hIJIYyLFy/ecO211679+Mc/LiyW1zbuIpEIe/bs4dFrdzLWHcMqImmws0gRPZfMKQWwSBE9QGM4nqO74hKRmMdadwPpVlxEMSFMEo7abIylWcT6ghS0NCNCUe3zpKckNVilxjR1bmrqvFqqEnODB04+jXnPPQVAe2zqQTcRbAmlRoqmKuGGjeVkEaydi2K3YG7tJnrQhwAOxmangQ+gQLtO44otDXqgBqPIiqQXxzaKGLIi6eXOZCSCspXceju2XEHnpnFsIh166nlEkInhlEwMyqOUVBgJW55jT9tjN+zdu/f6KU/mXaj3NPCEEO7jjz9+46OPProYoKOjg8WLF88IvZ6eHgZbWqjJy0MSQp+b07sZaLDbtl1SozMDKpgSULJak0Axb90MVVVsbClNA91QVxedNhsmg4He0BIMBvWPa1VvEiipllxqFkHCKpyo6zZNTk24cfU0xaOnktGY7nfUdPudSbdr6nGcc3ZK8Mg99wAQBTrsdvwlJbT1zSEWKwYkTj9dXc3Z2Qy9vTrAUlXq8Ktg9HjwWwsnQQ+AlSv1Lu7O7EOE29qYX13N3pEyPb+9rjoCXi8RdymdnRCJtGONjjKroIDLrrnG9/Djj5/Z29v7wvQXIqP/RNqc3T/vvvvu0xctWmRqamqitraWmaA3OjrKgQMHePCrjUQDMlYNJPvCHgAddonEbYsUwSEF9a4CCasOoMzYr9+0rZIajBVRTBhyTFiXupHMErbmQzh6exCoVUoSYB2Uc9Pm4BJuUNc0dTOn65qQiHo8dPIa5jyn/v32TOMWnUqFhuTk+2A8GeOTsBwhCVtFCMJVpciVRQivH2lXN5Gw4GBMbWGWyM9zSgFsmvszFexBxcqInI2sqJGbJhHTrx8kE+mDshV7hYWCpRYOPzGGJTqeVgO0KTRXh96cWQZKlo6z5SGJrpGnUVxPX7t3796bj/oCvIN6zwJPCJHb0NCw8ZFHHqlPzNkNDw9PCz1FUWhtbcXQ18ec7GxEdjZtVOrWWqmvGaqrAWhuUf8YagKaZbd6NbuapMTHOugANraUYjSqN+7BWIwjVivOslmMj5dz5IiRdSv98Pjj+nH0r1ZBt2ULnHNmyhPkrbcCcK33qinP96biKVyaKXNyTcEgtXbtD3Qq8E1XkzO1FdHKC/TXDz6o/nQ44NKLU+C3aROKotA/PEx3SQnt/RUoSgUgcLtTSqlNAF9rq+bKTFiDHg+bW5I5ULoLdMUKHXqlxf107dzJoupqjAYDu7yqJZ2A3sHxCMPDMH++R3dvfuHqq4ceeeKJD88UPp3RG5MWjbn+jjvuOPP444+3gJqzOhP0+vr6+OfPN3LkyTGUGDrs+mN5BBVrmlVnEDIugx8TaieDsGLWb7plWvWd1Ju1JGQMOSbsxxUiB+OMvuKjINSDXYTSrLNUkDRYduqvE1ZWDAMVhsmpYqnRkqlKWHNHM4c3VZ7fYvM+/XVqJKkhxepLAC11ua3IyMjiBSjBKIbthxGRGK3aekHZhlHEsIuQDr5xzeWZcN+OyNkYkPWODE4pQFCx6h0bgrIVo9NIxdosOp8NEh6O49JyIUGFXl5FiKpjoux+xII3HkDCSG/gCSWWvfGqlpaWn095Ed5Fek8CTwhhPuaYY5579NFHVxSnVCuBqaGnKApNTU0UBYMU2mzgcEyGHbDZW6NbOTW9G1X/ZHW1Po+nuxs1qw7UYAx3ziBtzc04SioIh2dx+LCE2w0N1eqTY38o6XZJma7jnEAy6CQBmy1b4IKVUzR9nQJiN92VjEQtKmqir2/6Sisp031pKkUb6E8/nVzo8+lVYH7ambREjUaV89XVUNm+UZ2bHBqi02Aga9EJuFxF7NunXvNVK+VkukMiUb1TDQjSwact39VbiNcLa4yToVdVGWDvvn3URqNYZs3SoefMOgiBAKULl6S5N6PRKOdfeeXA+n/8Y7miKNN38szodau2tvb2X//615+bGI05HfQOHz7Mv36whZ5/qzdgq4gQUsz44w6CihW7CFFh6tXD7gsM6vxdAnaDMRe5Br+ecJ7qxrM54tiPKyQcNxHYOkhBtJciw6AOulQXY2HKPFqqhWdJqSGZWoEloeZo1ZTXYbFJBdb+kz/M/OeeUK8BkwPLOmMlU36/L56vv04FXuLYDCJOXEm6Qttj5bqL0kAcu1vgW7YIvGNYd7axNzRXXzeiwc0soliI6N9LhV7qvh1SkKBiZVy2JuuTmiQqTs9mcEcQY59qBQ/GXWSVGZFqC9nykERcievuTQkj3uDjst/0xHltbW33TXnS7xK954AnhBC1tbV//+tf//rxxYsXTxmAnwq9BOwqKirI7eiYEXagza1pk3Ft1ho9Ta6GZvB62RhT56g8HijOH+HgoUNYh4aYs3QprxxQnyQbqlOsOo+HBzobdGOskjY9YOOm1iRMUus9X1Ge7OSc0E/bz5nyelx1vvrkm1ZpZYpq0+u3T67VGQol0wAT1ivAKldKaltKjl7z2isA9fDd7uR35syO03XPPQyUl+P0LCU7O0835NxuqLG2qfNvHg8bWipxODToJTbmcLDL2qBCr7pbNQdToBePh5HlJhZFIlhnz2ZLm3qjWtlQmubeBKh0+xkdHeXsz32udeOzz9YrijL5TpbR69aCBQu+/N///d/fvfTSS6fMs5sIvUOHDiFJEr89S53jmg52EnJa0eVh2clALA+JZEeEVNei1RLF1lAIVhPBl/qZF1JLM5pFhIhiJqyY8MlOBuL5HGNp0r+nB7IImVJD36Tl+6OTx0eJsX/KubZEgMrAKcdR8OxL+v4naiqIAvTH1afq1PlHl+TX5+9SXayJ6MsYBnpihWkBNlmlRnz1C5EOe7E2H2ZvdJ7+WUi2YJXCU0IvIGdhEjFCinlK6IUVM8Oyk5p1Boabghi6h7GUWjAvLqD9sQBN40n3pl3YkJAZl+FI+LZIh+/pY0ZGRvZMeeLvAr3ngFddXX3d97///as/8YlPZM+03vDwMEeOHEFRFObMmUPOoPqUt81bqSc+T4Kdaxd4vbR5VFdcIreu0NsMgQBtbjU/78OnjHOgrQ2lt5e59fV4w/k0NsK66iTM8HjoLm/Q56rWeZPWXPNy1Zp78EG49rwUa0777kb35EjN6fq2VnaqVlGaS3Oq9gpTLdPSJ0C1shLaulX9mebKTBxwIADLl9NMjX6qoZDqXV2uvMTh/fvxl5WRP/8EzGYrW7aoYNShB2wIJV2dy5dDYdNGcDjo9zTQ1JQCvVhMvY7WSvr6IsjybpwjI5jy8/GLJUDSvQnQTak6Vwi0tbfzmUsu2fzStm2r38/9vd4OlZSUnHDOOefc9+tf/3rG5NYE9BwOBzabjVmzZvG/dX8AVPfjTLBLJE9PhF2i5Y9ZRDHX5mEoz2Z8Wz8hr/pdl+TXXXg+2Ul3vEjvZTfflBxbqflsRVLSjT+qZE36PFVTAe8fY+qkdd6HChh6Um0jNNV8X7lxcp3NgJxFiQbc1OoviTw+uwiluWBTUxPsIqQHwSQsOb+cBXPyGV1YhfmVNky9Q3qaRW+sQJ/nTD2PGAZG4tmYREytykJMhx6o7tmOaDGykFh4hkTYGyWnGAYeH2Aw5gJU92aEoA68kCKIyxHao7cM7zu8ca6iKJPzRN4Fek8Bz+PxnPm5z33uzu9+97uvOUMsyzIvv/wyBoOBZbm5CCHotqph7XXubr0I5mZvjdoFwKrCjtpatrUXJvPGtEohCdg5ncPYTfupqqggQGkSaNXq4Eq0umlsTEKqxtWd1rk8NZ/7AkeKNafNCyaiRlPV0HL3lG1/+leqll9aA9jYUZauS5AtVS6Xnltwe8uqtMWgxr2Ubn0gCdDycli9Wg9+qa+HenkrLaOj5I6MUD5vHv88uAS3W7P2Urq0b2QNoZAGvd5dEArp0DMa1W05Gzer9TWtlbS2HgSlkwazGevs2bp702hUgarn6mnQ2/j88/I3rrvud9t37PjS0V2QjCZKCFF6+umnP/fwww9XHU17n3379tHf309DQwPXHfsXfXlUMTIsO6e17Pyyg34tByzhxkzk2GVlx7GvKmHkQITQPr/+PZfkJ4aBDs11mADdXONhbFKIcdmq58G5JL9uOe2NJF2Vic8Xm1qmPJ+Hx9dOWpZYt/eUEyh+9t8A7I5WT1pvqhy6VKUGlySsr3pzsnZttjRGULGplhfmtO1NjMb04yBw7EJkownri/voj6rXsiNWkmZpJsA6qjgmQc8konpCe1gx0xEtJqvMyMKPmel8bASpM+neBGgJJ63iBPRCsUG6lV/uazn0Qq2iKLEZL8A7oPcM8BwOR9UZZ5zx1Pr16z2vlXqgKAq7du3C4/Egd3TQ4fORP+dEBgeFGt7e28subyk+H1PCDrSuBhpgNocaGB2NY7UeYFbkEHPnz+fxfarfPAE6AEIh7t5ew/Ll6tsaVzfcfz9UVfHTlnVpUZAX+NQglNutV+jLEvD8zdoHprbIzjtv0qINTyfcfk0YDCrwpopPmSqOJTH9qbsXIZ3GKTe4yIpVeiALJAM+S7esV028889Xz0cDXygEn/xEFwMvvcQCj4dtgWOAZCRoIpF9o3XdJOjh8YDVysbtTpYvV6HXbrczYnIjy2XI8i5qIxEss2erjWRbzeq1DoUmQe/Xv/999Fe/+92lLS0td02+AhnNJCGE9dhjj93y5JNPLjuaQtCHDh3CYDBQVFTE3T/4F+2PjRELKno+WK7Bj0nEpoRdVDHiNAT0ah8J2OUszsJcZie4uQdlXF2WAB2opbcMxPXUgkQ1lrhiwCwiaZZXameEkhS3ptGouiP/PZZMD0pormlyLt62cD0AyqnzEc+oLtWpEt9TK70klDjO1M9GFYfejih1eb25WYdVAnyQDMJJPYcE+Hz5JYwcuxjLjlZCPRGCik1/IMiWxtIqwkyEHqilyyQhq4FBJU6oLWb/YxEWni7haxrH0KOepz/uYHd4ftq5JaA3EtrPkPlPDzcf2HrWpAvwDus9ATwhhPPEE0984cknn6y1J9x20ygxZ1deXk7usPrL2R/Lpaurg9WrFiH6+tQ5o3an6g5raZkMO7fqfmvzqEnRfv8wpfZXqYrHcc6dS3NIvamuKtdgFwpBVRV336vCJwEzqqrY5l6nB6pcZUyJtNSiSK79gZNrtPKqzqdTrL0pKq6kphAklJhHCwabsNunD1qZSRObvwJcUJ6SLuBwqAD2+YiceY4Ovs5OLYqzenOyk7kGvp/+XA30ueyScfY9/DB5ksTBgk8ghCAQUAG8JjQF9OhXP2xp0a290tJ2rB0H8Mydm+beXOzxYM7OZlujOVngewroXXHNNYG/3XffyQMDA6+8oQv0AZQQQixevPjB9evXn3k0LX4OH1bBMHv2bP637g8Y7QLPGVkc2BAmFlSQhJqO4JQC08IuWxrDJfnpj+cjZRlxr84l1uYj1DJKDEPa3FZ/PJ+YYsQiwtSYWnFJfj3YwywiZEtj2EVoyvJgABWWZPPXYFR9sJ0qAb1jisCTfTHVshGnVqE8owKsNza5utNUwEuceyLwBWChWd1Ge6w8rQ9fd7yQIsMgC00H0qy0oGKjPVauuykT4HNJfiKKmV4K8C1fjGI0EP13JyIuE1HMeDVQTgU9IG1ez1Jmwbo4j/7HB+mIqO7Nmo8Y8L46jmugG7/sIChbp4Ve39izBBz3X/1uK0H2rgeeEMKwZMmSJx9++OE1FRUVr7l+S0sLBQUF5I+ojRkTbsyKskE69u9ncU0NA+EcvF6tk7fm2pwIO//yNbz6qkKF6UWissy8cBjplFNobpF0C2rVCvXJcOMWsx40cUH5RrVqi+aW3LIFrvqa5qvftImE+XftD5ID8abq5Pxewqq83ZsMUhEiisEQoKwshKIk/qlPu263au36/V6cTjegYLMqSAYDVosFq9WKwWjDbrdjsVj1yNXUoMyErNakUZcKwQvOT2nW2tub7Im0ciU/vadQ97ReWq1FWWodD37ask53TVZ1/pVBo5Eao5GxteewZctk6CVUW5u09nbbCunqghNO8KS5N73eELHxndQD0tKlM0IvEonwucu+6F//wD+qFEUZmHzmGU1UTU3NTT/+8Y+v+MhHPvKazVv7+voYHR2lqqpKn7MDUGwmqtZZaXssiHE8rFt6VebDRBXTlLADiJXnY1xcQOTZwwwFHFilMC7JT7YIEFHMHIqp94GlZjU2okKbK0sEjthFCKdB7UR+JFqWdqyzTF0AbA0t1Zcl3IOpEZOywUA0L4dW23yEw6z+s6luR0lbX8xyoRzxqd+VQghZQYyFkMbGkQIhysYOY/GpCeMJJQJeUiNAB7SozfMcD+vLDkZn6a8bIzV6xZbalJQGSEajBuQs5pvayJeG1eAdzHTlzSXYUI1j806CIxLjim1K6EEyotQkYigl2eQtsTP6ZBeynHRvKpLE4o8Jws93ofgjrwm9I4G/yEM8sfbdVAziXQ+8mpqam2677barTj755Ncs59DZ2Uk8Hmf27NnQ1pacs9PcmMOyzP6uIRyOxRQUCDVYYgrLToWdjMXSzOzIECWa/+6BByXdJbcqsAH/ynW6tXNB+UbVJ5koXVKbYm3df7/6s7qazb7k/FwiET2RmwewaVMUIXxIkg+1tZQAjCiKgyVLrJjNVkwmKwaDESEEhXeq5eyaioqo1axXgLgQhAwGwgYDoexsxiSJkNYT0KgouObMwWW1YksJz2xuTW/cCirbEoBPC2JpakKvmr1yJbc/mHwyvfQ8v0pUqxVWruSXd6lwz8oaZWnFi9QEAkSmgB5AW/U62tvVyxfcvwViMew1q2lqQndvYrXS7GggGBzBJh1kUSwG9fVsazRTXa1Vf9Ggl+ii7mtt5qKr/nv/hicer84Escys4uLilZdccsn9RzNXPjo6Snt7O7W1tXys+jkWWVuRFUmHmzlLYd4ZFtoeGycWVPSSYIl5oImwiy6ZRcxuZ+R59QbvkII4NFdcYs4rsW5FSlCIgTglxn69fuSRaJke/r8sJVozARKLiOLQrCZJUhgtLKbDXU0kzwkIRFzGPOTDGhjBOBbEGBjDMB5CAK4TNgFwyHMBc7R6tmafHVlIRM1OwlYXcdyE7PkEHQUgBFI8hrN9FGdfN1lDA0S1c/HJTh24m0Ir9ONMWH1xJd247o+7KTH245L8WIjo6RAHo7MYV2zMN7VhFyEMxAljJm4207LqdAy7OjB1DU4JPYOQCchZDMZdWEqtOJc46H18CDsh3b0ZVKx0Rotx2cbwfCSbsQ2HEbE4ftnBiOxIm88DtTRcZ8RN6/iPx1o6Hy9XFMU37R/R26h3NfCysrIWXnTRRU/eeuut0xTLSsrn89Hd3U1NTQ20qa7GSHklZqMKOxwO+kNOOjuHiUY7aAgMILKz2RxqUHu9kYTdK6+EMRr3UCfGcWZnsy1Up+d6repdDw4H/pXr2L4d1njaklnaa9fS7a7j/vvhitW7kknWGui2b4er3CnWnEbP3/ecTFZWL5IUwGAwoSi5fOQ0O1arNS2BPj5FYu/3tJ+lF11E9x+PrmuHISuLcyorGVuwAHNDA5ZQiKKuLlwXXaTuLzEJiZqEnziNiXODl67Q0hdaWpKBLppleul5fpWcnZ36hN9P73SSnR1h+exNeAIBDCnQKy7WUj96e2nzrGH//nbKymCx4k8LZikuVgsCROobaG2FkZFuSlwjeEZHaXOrqQ069AC/o1SH92Pr7+H6W275n1cbG28hoyklhLCedNJJL2/cuLH2tYJUEvVolyxZwsdrngdgkVW9UYdls+7GVGwmPGdkEX/qIPJ4HJPWadwhjanJ5pIfJEF81XzGu8P074ljFyGKjaoxngq7fMMwFYaetLw0s4hgFyHiGNgXnaMfn12EyDeo0xoHo2qCdqKkWF5WgI7Zi4mV5hOXBYZeH2X9B5g7uheRck8cPmuKYJaTVOvw8MipzM55RrsYvvR1oqNpb2XFSLApizHrXKKh2UhyFNfQHspf7cMgx/H6y/RzTJyPV85Nc8kmANUeKyeimCkxJruuWIjQHS9kXLFRbuzBrc0p2sQ4YSw0HvcRhC+IefcRHXoRxURMMZIrjahBPsWFxGvLGHy8HxNJ96ZJRBmRswkrZgZiebjzxyk50cb440eQkCdBL9/gwyRidEULGY/20WP56dNNe186bYo/obdd71rgCSEMDQ0NWzdt2rTcZrPNuG4oFGLv3r0sWbIEKeGLs1rZ5S3F41Fvfv3GUr0ljWnnU3QAw+a12GxqhZDKlg0axEawWA5yrCGC2W7XXZMNoc06OBPutzWe9MjM++9XDbya2C7YupXN1ZcCahzIypWaBbllCyxfzlg0yoNNFiQpTDyeBRQhy9nJgBd3P8NF6Q/YU9Ra4Xo+CsBFFx3HH/949F1ylG+qFugNN9+MMScH57JluObORYnFOLOoiNyREdUV88UvgsNBc6hSB18iraOlRTXwdPB1dkIgwO0+1WJdsQLq0D7buhXcbn7afg4Oh8zKyo04R0dxnvpxQDUI6+vVJrPtR47gdVfj93uS7k2fD1asYOMWM2vcqrszAT2vdz81og+3xaJDz+2GSmu3+nCCE6tVrZP6pWu/Fbnt93fOeTd1YX43qba29vd///vfP79o0aIZO7jKsszOnTtZuHAh5y5Ro30XWVv1fLuBWB7FRq9u6c1x9pHz4RLGnjzC6JgVScjMMXaqwSc2I/KaakZfGmSwx4hdhMiRRllobmUw7iKimHVwVRh60nLeEqAD8Mq59MfzyRZj5BuGsYuQPo8WVGzELWZ8CxdgcFsxhccpOtSCq7cDoShIVtWd2X/mhD+LymyoSm/PZc5fDUBbm43KSjVyMhZLfxqU5Sm6JPh2az+biSsm/JG5+IcKUDCSv2cXed5XkZQ4xp3V9MXz9ShNUN2aeyNzWW19iUKDd1LtznyDDwsRDCKu5xTaxDgLTIewiXEiipnG+aeg5Gdjfl6FekQx0x0vJKxYyC+PY63LZfSJbj31IKoYsUshLEJNbUiFXllVhNwyCL3Yq0OvN+amN+bW5ykT0Osef0wZNKw/99ChQ/dPvihvr961wKupqfnB7bff/vWVK1fO2MQ1Ho+zc+dOamtrMScm0jTYGY1a255YjF1etd5lIudrY2Ae8XgHlZWLmbvzn2C18qRxGTk5Xo4lgGSzJWFX3g1btuj5ca2tcOlaLWClpYVftq7TPZk1W27XXXnrt1fqqQkNLXejAL1GI0/FFhGL2RgdrSAB80tXJsOREz34fn/qqWnnerEGt1Rdj+r3fz0W3nficYTh7Ck/s1iM/PjEEezz5xM6fJhZzz6LCIU4c+dO3V3aRuWUVt8F50VUcmlZ/be3qvl2Lhece3YE7rorBXpw+vxNhGSZeT4fo2vP4emnYdasdtzRHjzj47R51tDeru62oVztOL/Rq/5OUqF34IBCX98ujrOOkWU0EqlvoLMTKssjel+n5k4nVVUQOLSP/3fZZTs3Pvfc0oxrM12lpaWrLrvssvu+853vTK6HNUF79+6luLiYz69QS3Wlwk5WJAbjLj1CMuHGNNtlrKd5GH6yj9nRwxiI0509m9yT8/E91YsvYEuDHahzUwnAJWA3qjgwEtddm145l55YIUHFSr7BR5XW5SCoWOmIlRApzkPUliDicXL37iPSp24vdT4sXKQeq+8Hn5p0rjbX6rT34+Oqi/Tw4RJmz9bcqvFg+pekybctIanwTcy/C2FEiQ6jKDDSdgBfZAFGEaSg60Es8hBZf1qgu2WzpTF8spPm6Dx6YwUsMe8F0B8EOmIlWERUjxYNKlZ64kWToLfT3UC8fhbiyRYs8RARxUx/kQfT4gLEU/u0wtFZBGS7XtYt1zCin0Mq9OaukDGMBpEPDBFH4lCkXG/d5JCCuAx+xmQ7nZECeq0/7t+++7EF77Rr810JvJycnEWf+9znnrj11lvLZlovEZHp8XjIHtBiEUIhdsVq0mCX6HxQF1Jz6jaHGrBawW4fRj6wicVmM89YlhKNjnK6uVPti6e5Mc9ZocKOs89m/YNmPB7NUnvwQaiu5pet6/B64cYqzVVZXs56r3qjb2xUA1LiwGGzmYP51VgsxfT2FtHbq7oqE5kGhV85lx33qVV5HtHO7/pJgLue61mWtqTvcvX3t2BBE/v21abmkus6d3l6qbIb5s6dtM7I19Xt/OxnyUjiJUvu5oQTOlji/yGljzyCGBnhzI9/HL72Naiupi1QmGb1AaxZqT19P/ig7rLd5V5DS8tk6AEsX95LYXQPC0ZG2FdzDHv3wpIlHipDqnuT2lo2bC9k7VowN6pNZKeC3v79MTo6drK2yokye16y8ooGPb+jlPZ2tUj4v558iu/97KfXvLxjxw8nX60PpoQQtlWrVm175plnXtOVeeTIESRJ4kunturLltma02AnIeM0BDTXpFd3YxrtglmnOzA8vZceSxlZxxcy9vhhRiIO7CJEubFXT9hOpBEk2vRMhF1YMSWtGSlEqaEPl+RnVM7iUKyccFU5jmoLOQOdZO9qxxJTrS6Hxacfd995Wmh/lQqWrPrfTjrfsZEJMRcv3g7AYcN5zI7fqy6bUKMB54SOSd4QLD1Zfe3wqD+tqgfHYHDoFmF4pI+BoXKiMTOFbb/FHj8CkTi5G3MJ9pUTUUz8O6zeA/ZG5jLfdEivzZmAHqjJ5dkiMCX0fDmFHGxYjfTkXowFFiK1s+l7fJCwbCFXGsEsIhiETG+sYEroDcZziSMxEMtj4RkS7OohNBDFF3cyHHfSG3MTlK0UGodwGfzsD3sYj/bTa/3xU7ubX/7QpAv8NupdBzwhhFFzZS57LVfm4cOHsVgsFBcXq/N2Gux8PlhVnQ47gLrQNrah5tq43VDZ+ADDZjP/FnlIkpszsnohFmObY82UsPP54NKqjXo9ruu2qq6OG9duhpYW1rtUF2ZjI3zlK1By70/pKCmhJX8hWVkeurpc+rHrEEqES955pw4I8Zh6w0lYb6m6PqX+H0BXlzqwjhxpYtasqdMSJuaXX321+vNrX0suW3SlCuBEqU8HcLUG3Dlz/s6HPtTG+LiRqvuWctb4OEs+/nH4rXpz8FsLJ6XvJSJYEzvf5VqVDj2A8nI2sI7s7H6MY69QPD5O/qkf192boP6ONlhVOM4EPaqreXaHkXzTK9SVluothCDp2mzudKqthor7ufQb3wjc8ac/VSuK0jXlRfuAqba29o/r16+/oKamZsYUBL/fT1dXFwsXLuSsBZsAFXY2EWIw7kqDHaguR4+5i5F4tu7GlGwSgXXLUUIygUfbIa4Qx0CpoZ9yYw9G4vrcVSJgxZDSzNQuQnqidsKd6ZL8GLTv+cvKGambR+Hhvdj2dnNAm9c7zr4DAEVSCLnV4xu55YsAWKxq1KTB4CI4PCGE+YHfpL39v9+rkKtZJ2jeoN4/E/37Ejo/+8G09/knqHN9sdqUeXiPmhzOrLP1RcKqJsfGA530Dc4iErVSbHoSy/DL0D6K5W+L9XX3RqrYFDqO+aZDnGB5Ra8a83zoWEbkbI6x7EmDXr7Bx7hspcLYw2h2LgdPPR3FH8L2ZCNR2awXuraLEDYpREQxMRR3TQu9EdmB0SCz8GwLI492EokZ0qBnEjGKtOuyP+whlvdsrKXvz59ta2tL6UP29updB7yFCxf+8M477/zaiSeeOKMrMxgM0tbWRm1tLTRr7sCqKjZvNauw06IXUmFHKMQ26yo1fL3lAbBaedpcTyTipVzqZrHJRM/CU2lp0cpbTQW71lY2Vl2ql5hMwI61a7np3kouvFC1PKXn/kaPyURFXh7PDiZdk4kozzXXNPC3l18GYL/2WcKiUy5R/+jH7rgDx4TSRnv2pN+PEvnACeBNbHpe6Zn46JnsxJ4KqcT5JHIGT342GSyTOK7SUicf+cgiurtHaHjiJ3xM69mz5B//wL/2HL3GZsLN2dSkzuM1hNR0hQT0amu1VkoPPghWK4/INVito5SJfqpHRhhdew6hkHpZV3nV3MQ06G3dDC5XEnrLVddWd8DJnj0d1Lq9lOTkEClXXa96+TENeoEAzCs6zP+76KKmZ559tu6D7tosKSlZffnll//9uuuum9GVKcsyjY2NLFmyBIPBwHVLfotFimAiNi3s8o0+dS5KtjHL2K26MXNm41hZjCTJjD7RSUwrILLYtE933RmIY5NCZIuAXvU/UVw5AbtxxZZWWqwrby4dS46jYKCdgqbdHIh4gGT1krhiwH95u7ozjxrEYl+YCPuCeFw97vBvP5t23j/+W/pUweGoWuFn+Zlhtj9iIaJMnu58+sgFae8vrlKdCWdlPaMvO07r3BBdqronI6usUK4es5j1/7Rrnk1PTxbxWIRi8Q9Mr6jBQfZXVHA27VYfuhOwWmA6hEMa45nxE9Kg55OdRBQzBhEnW4yRVy7Tt2QJfsWJ9EQzFu2XkKjzmahAMx30RuRsBuMuwrKZ3IIonmUKoxt7iWKkO1rI4WgpQdlKjiGgQ681XEGv/Se9LzU+VvNOlR57VwHPbDbPu/TSS589GldmY2MjtbW1mA4cSH5QVUVbp1l1h00DO71Ja/sGnjYfQzQ6whlZfQyHw7Q4iggGF3PssQJnyzZ2WdVyYhNhBymV/VNg19kJtxz/Z/ZZrRTm5vJo26m0twtWroR1p2vgSaQo3H8/De3qg87LL6tuxIRFd3XKufYdTP/9VJZP3ZSyae9eahcunLS82zv5uaG0WDsWrZpLd0B9mk6k1wHJ/nO+zfqyG04+me9ccglVG2N85CMLefrp/VzVfCedwHf+8Q8480w2blH35/Goc2/33qtBL7BRrxfW3OmkpUXtudf+r3+ByUSzdCYORx9F0SYWZGfT72nQ3aXTQg/YzKpk94XqarpGs9m1axenzrVhNhr1QuGpNTe3dZbSUO3nn488zje+862vHDhw4NdTXtQPgIQQppUrV76yadOmWoNhxjgV9u/fT0FBAbm5uVy3RLXuLVKEmGKkI1o8LexCsgUZiSLDAD5nEVkrixh77DDCLJH1oQr8T3ZTG9OghGFK2DmkMdzSsF4c2iKiuCQ/DouPttg8+lcciyEcZunehxBBib3ReSw0qfeGiGLGlKumOQz+5r8AMJnLtfM3EhlWIcJQIwC3X/qFtPN+ajy9bO8L+1WYXXTRRfzxj39k1qyLJ12rRdb0ergHUUuQBQLqH/Uyx2X6ZxUmdc4+YSVefN13kl885nMIazGRiJHurhxs9hAF5hcRh5/B/oB6L0hAD+Ce0Y9xec5fcUhjNEUWsD/qodLUQUQxkS3UNAxR6sCwuIjqTY8RcORycMUpSE80Y5eDxBXpNaFnkSJEFSP+uIMoRsKymTknCCz9g4wdTubnJaCXb/RRaBhif8RDONZLp/Vnj+5qevnMSRftbdC7CnjLli174tlnn/2Q0zl1dYSE2tvbsdvtFKZGTGiwAzXFoDlUqbqvpoHdkCzzkqGS0+0DiHic7uo17NkzTG5uB8vi44iKCnZ5S9Ucvk2b0mAXCmnFoLVw+y/dUsnq1QrHjdzJaF4eLw6dhaKY9EaxXi9cUK+lKdx/Pzdoc3UJyynVdZlwWX796+pT7E+vTyn7RXqrIUjOnR040MS8eZMtvEJXOiBTAZhYt9LRn7axNm9yH4kKZ5/8pPpzf6AUzjwTBWjzeLh+b5TV62+CSIQv/OMf6kpuN23lah3ONOiR3uV93752ltYreF59FaxWNrCOrq5uTq3aR+XwMP0rz5kWetXVauHszaj7SYXeK61mjMHt1JWqT+I69LR8zLaQGrHbUO3n0xdfPHTvffeVKYoyRVjd+1/z58//1h//+MfrXsujMjIyQk9PD9XV1Wmws4gIY7Kdtkg5paZ+NbJvGthhMyKvrSa2oZVg1EwcA8JmYPbpDrKeaWR4LItROYsGSyNAGuwqTUeIyka90WqJoQ/JGqLZdSLDi2uob3wQx4iXprFaWmOzWWt9gRgGHLnqfODgN9SAK0v1tXrQSCKyUvmVWuqoYLtq9c3anV5irMyxOu19Hmou3wlnxvj3I0b6dB+Nqsb9X5t0/dbNV92kZi3N6LCiJs3noHpz7OQhaeW9GmzqZ5/PfgDnolcY/3Q2zP4EwlqMz5fF0JCD0uwXsIy/iv3O5Pz8lp3n0R0v5JXQojToARyKlVNk8OIoNSIvLsX0dBNOxqgw9jDmyuPAMSeT9eQrCJgWet54HkHZikWK6GknOvQUM8s/ITPyWBehiFpUYDjuJChbiWKk0DCEXQrRGKomlP/g+HOv3nlcMBjcPelCvcV61wAvPz//uKuvvvqRb37zm+6Z1tNdmVKKa28C7ACaQ5XUlPuhsXES7MYVhWdFGRbLEk7NfpnuctWaWL4c4ru20GEwMLtmBU88IVi9Wg2LT7jPdNiFQvqcHQSZF/4HpVYrRcuWce2dlXqtyXXL+/XqJDecrE5aTwW67zz6qPoiEe6pyR9Kvw8l8st0aTf1RGuW11RkMgAT4Eu4W51oHQdSwFfp6MdvLWT5cg16wA09PVz1ta/xbbmUY578AzGNTl844wy45po06D34oHrtrjivH9rbaQ8G6bF46OnxqN3VtU4Mv/RdQFnZAU4q7KVwYGBK6O2qUqM8K73qw0wa9FAt1vb2Djw2L6U5Ofrcbl2trBI8ENCtvO2vNnL+ZZfe1NLS8q3XvnjvLwkhHB/96Ed3PPTQQ/NnWi/VlXnDMXcA6bDrj+URkO2Umvr1HKxJsJME8rpFjDzdR9a4GhgxKOey2LQP2WZmaE0DgSc7KYz0ki2NYSCuJ4enws5AnOKsTuJGE9sX/z+MwXHm7txCnnGQf46qls45WY8zpCW2h29W8+Es1dcCIEkOxtt/pZ5Yrxptec1V6jn9s1P9E1hWcl3a+TtwEyX5PPT4vjOAox9zNluyQlRFxYUALJJOAWBUUY/Pj2rl5VCKFRXOA7Sx1hrnUue9mL6nebJcNcTsC+gaXIKdNtzicYQA4/3quWx77r/SoAdqcnt7rJyx4kIKl1iwPL0Loag5iS7JT6FhkN7SKgZLK8namnD/pkNvXLYyLOeo/fK0338CegnXpi1fovrYEKMbe/VE9aBspSeWj9s4olt5MTlIp/X7W1/d9eLxr3nx3mS9a4DX0NDwwvPPP3/CVF2TE5rSlRkIQH296spMgR2gAs9qZeMWsw67uKLwOMVYrXWcmv0qdHbSvUK9gTpbtkF5OZ2yjW3bOrBYFvORg7+CFSu49sEG1TWZArutW+F/q2+nz2plodXKgdpzuece9bBu+ppmNbW0wJYtKN/6FlJK1GUCds+dol7/RCBJApQJOUP96QsKp55mOWrgTZRfhUTEqsItkWAPk8FntSYbNtx7r9ryb8k/Bdddcgkf73cjSYJ/fHkNv127lstToJcwxL1e9d+qpbthcBCP3U6zoyFhmFGz/W7wePhl40mUl+/mQ8UBHL296dBjM7tc6jY9nnTopRbB7hrNZv/+XZww341lZIRuV01a1Z2IW+100VDt5wtf/ar/D3ffPUtRlOSs/AdANTU1P7/vvvu+umjRohkDVfbv309hYSEul2uSKzMVdqDmgzmkILIiJWEHxE9ZQKDJj61/EJsUIq5IFBkGMRBnUM5l1JJDzodLyNu4jeJID3FFYq7pCJKQ02BXYuxn0FlK83EfonDrdhaMNiEMMcIx1Rq0SmGG4i5Mc1sJVPvh01dhyVIDPRJzdFlXXg/A9kNqwOD/DJ1ENslxlSOy6FQOpV2Dl/ZdMum6vOExByxboHrRbaR7bCKo6Q15zMKEFbOIs9Ci3tcsIsLFX/wGHH8SZM/FF57P8LCTWYW7MITaMd79GJCEHqjVaDzGTroL5+GtqaHn8WGKJK+eqwhqaySX5KezdhkjQStZ+9Wo2AT0RpUsssUYo0oWMcVIULaqRcCFTFQxIisSw7KTsGymbIWZLG8fgcNRxmQ7I3EHAdk+ycqj5JnwlqbbzxgYGHhby47NHH/8NqmsrOyjN9xww6KZYAdqVGZZWRmm8XG1LU1Li15Syu0GQiGaUXvb1ZT71bu31nKnpn0DiqLwhKjAYq7UYcfKlWzdorWiQa3M8e/HwW6HiqF7UKxW7mtv4OyzoeHpm8Dt1mCn8OUPPUHA52TxsceyNzyXe+5RrUSrFfW/W28F4JFvJY2HBOi+85KaJO6v1kpf+dSfzkB3WpcC3G6QZrwf/WfS3McJO7JSqxDU1gZenFSWR6h0T7b4Lj3PDzi5pUmBOwRLAUddHV9c7+DXTz/NbWvXcjlQeQ1UAt1VqhUmy+282JTNp08tgvZ2agLbqFlRzvotpdScfTY8+CBX1MOvdp7IkzTy0dJSCrc8QOHKlTywpRDc6rziLvcq2tuhfGUD5q2bWbECNm916tArCx9iMH8B+zoaqZMkSmnGS42anuJxYPZ2A6ql+r9f+5pz6/btPwS++NZd6HeXhBDuz3zmM2e9FuxGRkZQFAWXy8XXFt+DU0rCLqFU2PnjDj3xOFdSnx8i9R6iXeE02CWiLsOYGZWzKIz0krWxg+ipiwg/O8KsyBEwRekNFavBFhrsusoW0lG1hLwnXmSBtA9hiPF0YBUnWdUAsFGPFxNeAlcuh7x6dR9jmuds758AkGIGch+WgGc5ftbPyQJGSHpORhR4ed/l/9kFfg3t2PflScu+uvivdGpNXEeUYRV+Sh57tQomI8oY/PZHfP4vD2C69SAuDmIzZ9PeeyblBSa4AIx3P0bDyX/AcSSPvR0n4JOdtBUsImuxi6KnXiAkymkOV1Fs9JJvGNaru/hkJ+VNO4idtJrgcAH2gQHiGCg0eBmNZRFUrCr0yCKKERS0lkIxohjJlfz0ym56toWoP8dFvKcbIkGG407yjT52hdRI2ULU/oZy9yrLrLJNvxBCLHk7g8becQtPCCEdf/zxLz///PPHzDRpHolEaGlpoa6uTrdKaG9nW6hOTTEINautYryFuFxac1fN1dnergaZvGQpZWTEyYdc7TrsHtiiPgmdE1sPHg+3N6qlxta1/pJhh4NnXcvZvn0xN523G1pbWR87h5deinPhqU9Q6PNRVFwMy5fzwNNJK2jdStWyvMFi0bPmPspH+frXH+Kn522j9Gy1A/rFF2vVRRKBKImokWmsuKmkKAqKorBnzx5qa2t5rdZJb0T9/dpcoOb7TMwjFtKfXkPz1jpu9nrpO/cqbj6znrtOU6sJXV5SAo2N7OwJMjwMwaAHr1d9OKiJqVVUmt2raGqCc0/3q+5Nj4df7z6WkpIWPn5iKUKI5O/KvRkCATZa1+HxqM8+5q2biaxYRWOjek3NnW30Oyo5ePAw8wqiuLu79S7qU1l5V1x99div7rhjnqIok7t2vg+1ePHiuzds2PC5mQqyJzwqdXV1/Hf93wD0bgfjipX+WB6SUFv95EgBgrKVUlM/McWIhEyONEquRzBU5kG8cAibFMJInBgG3NIwNjHOqOIgrkhkS2MUGgYJW+341yyj7sV/YAuEOBItI18axiqFOFC3ioDBgfWl/XpB5u54ISdZXyaimAkqVpQv7YET1amGrJxTiMcDhNp+Ac+pD5h771MjMH88pCbAJlyJL+z7/FFfu7djzAE0LPgdDlR3y2yjge6YCS/tnG1T+Hy26t433dBCPHcpR8Y/gdt5iGx2w8he2HEYR2MWTSOfYHjRQsRTe5lj6CSuGOiOF3IgOodi4wClhj4iilmvK5pjDNB22oeIbTyECEYwEGdcsdEdL9RrfoYVCyOyQy+2HVWMeqCKJGRcBXHKa2W8z48gKxK9MfeUVp7NsyP2/J5ffrajo+NtS1N4xy08j8dz4f/+7/9Wv1aEWFtbG3Pnzk3CTvOThUJa0IUjBXYOP3QGkrBb7qf/5SjCKqivL1Rj76eAXXd5AzTCukbVknvK8V8c2DvMeadtQnn6VcTatTTdH+aza57GMzRMdmkpLF/OL+9yUlurFTfGD9dfzw0/+xmggg5Uy67uZ4JrrYoe+p8AXSKQJBRSj6dyAu9CoRA+n4+RkREiKXNwiYEmhGBoaIg9e/aQeIBJfCZJEjk5OeTk5JCVlfWGBmdhIfT3mwEzha4IhfhVa89RyKVnq0/33bFCbmcX37y1ju/efh1XR6/nibkX8stf/pE/fURw8pe/TM5111EwfzGdnSqknn4arGfWUckuaryboXYV6x93cq5m6X25xMt98dXs72pnQWsr56xezQNbCvHXr8LZuJk1rl1sbFfnVh3Vqyhs3AZanmWkvJLCzjYGnB5eadvJaTkWRGsrTLDy6utL2dXi5Jtf+lLWzubmPwBnvO4L9B6TEGLWl770pdWv1X2kv7+fgoICphqbcUVKg51RqF2zU2EnskzEFxVR+PjLBCSHDjtAh91g3IVL8lNjaqUvns+syBGkF9tpPuFj5G7cji9sI8sQZPeJZ+Lo7MJ2QA0QMYg4O8KL+aj9GTUKs6QL5ewQVFaSlaPOj+mwA379J9XbsiesenxkxhFIZFOITUz2LEWjUUZGRhgZGSEYDE76XJKkSWMu5fqSnZ1NTk4OTqcT6Q16aLbtu4yGBb8DoC9WSaVpGKIeHhxv58HxT3C2TYGr4OKf3oQnL0Z36BxC5iIKivLhmBi9ZivmcQtF/3iBEbJ5LLiaWvM+Kow9bBxPTp+VGvr02qYjMQdFz77I4dWrMW7YRRwDNjGuJ/RnS2Nakr3avT4sm3WLPjGv5xuAMqsRe1ac4BjISJOsvHprC83tNcaCnLk/FEL8Q1GUya3l3wK9oxaeEMJ0yimnvPLMM8/UznQjHh8f59ChQ2phaL9fhV0gwC7qkknmLhebt5qpqoLSzm20uRt0j2bBged4UTgpK6snO1tQuOUBHkCN9jsnpj5cdK88l0ceUefQah68ifVV16qVUs7bxfDzz9NRU0Pr8ApGR5s5z92LxWZLg53Xq1knGuy+87nPIf7so52HSTRhe+wS9Vrf/r3kvFx3rBCjMd2oi0aj9Pf3MzQ0hKIoWK1WXC4XOTk5TOf2nW4+IRaL4ff78fl8jI2NoSgK2dnZFBcX81qJ/dMqolp7CRdnIsqzO1bII4+olp4sSTSdfjrnPujlllu+zegvL+XTTU16l9tt7YWEQmp96ZUrk3NxCUtv9Woo3PIA62PnEIns5yMnGMndvp3m2nMTmSA4t2yA8nI2++qorta602su7vp6MLfsgupqtjV6qXD6Kenv16080FIVWlvVgBZ3N9/5+c/jN//859WRSKR18km/f7R06dIHn3766Y/l5+dPu07Cuquvr+frdWrn8tRedokQdYcU1Cvq27WIPqOIkS3GcK4rQzzXiiWkFolOdO6uMKjuw/ZYOS7JzwLTIfKlYeIYcFh8SDEDbca5HFy9lsWbH6bv+AbMTUeQu9U5uATs5pvaWGA6xNgpO6DahfHUm7FYPBgMLvwt/wNAwXfU3L0zD/yGEc2ac2rzdU/s+4h+vrIsMzg4SH9/P/F4HJPJRE5ODi6XC5vNNuWD4nRjTpZlAoEAPp+P0dFR4vG4XiDD6XS+YYtw3YKnmG1S593aolkE8HK6TQ16ufinateUftuFYHFjN3bh7RHM3vdrshvtZLe7eTlUR3usnOMsOwkqVv40eg4Vxl7d0gM1V9El+RmpqGA4vxzDjnbdygsqVh16PtlJd1RLVJdCej1NgDgS1mzwHC8YeGZYt/IsUoSAbMeATK7Bz95wJQPhVzks/f6K1tbWX72hi/I69Y4Cr6qq6qrf//73N5988skzhkQ3NTUxb948LGG1iCleL353JY2NGux6e9WOBFvNrGIzbeWrdNiVOvw0bdmCsXI1eXl2CgNt0NjIA5yTBruWFi2K88GbYMUKrnpkDT/9ilZCbO1aHmgtIhpt4uxZdizDwzwQWkdnp5pEHQppbkzghpycNNjdBXRpoLv4YmjwJOEAUOpWLba4wUB3dzdDQ0OYTCYKCwvJy8s76qfDo51AVxSF0dFRent7CYVC2O12KioqpgXptNIszQhmte9csQxer35e558PJ2+SOO3HP+Z3u4J86lP/x8BH1IH++Zdewl/doHd4T6RvJKDHihX0+8wUbt+gBgjFzsZqbeQjoVYMoENv5Uq1Nupm4xrcbnW6MwG9tk6z6ursbGPP+By6uhpZmxNBCoehqkpNOdGA1++uodAt49u/n09cdtnzzzz33KrXdzHeOxJCzLvmmms233zzzcUzrdfZ2YnJZOLmtU/pyxLAC8h2/LJDf5+w9GKKUYedfXEOxmgY64FO4hgwiyjjshWX5McsIpNgl+hiYLKO0TU2G6+cS2n2EE3nfZaSJ59jx4EKzrA9y6CcmwY7W84A3u/XYSz+CBaLB0lyEAw2En/62xT8VW2Ds/rAjQBYtOhHqxYo8kjLGrxeL71a7dr8/HwKCgowmSaUBZtGrydoZXx8nL6+Pvx+P0ajkfLycl4r/Woq5eQsZVnxt8kijwjBNOh9LOtpCr75bzpzrsAfmcXCWc8h+jZB7zDsH6Hn0bP19kgToWeVwtSYDjAqZ2EXIVySn75VKwg1DiANB3XoJbosADrwQIVeVDHqVp8kZBauVYg0ehnzCWKKkRHZkQa8oGylLVrOEfMtndt2PTVHSeSLvIV6C6MhZpYQQlRUVHzutWA3OjqKyWRK3pA16669XasyolVU2bw1uZlEJGGpw0//1q2ECmtoa0vCrrlate6orgaPZ0rYAfDII1BfzwOtCxgd7WRNiYl9Xi/KiScCam6ZDrvHH+eGnBz13FJg932Twr33qlZdg6ef7lghbYFCSt0RSh1+grEYew8epLm5GbvdTl1dHTU1Nbjd7jfsCplJQgicTifz58+nrq6O4uJi2tra2LVrF0NDQ0e/IbMZzGbMZhU03b0SuN2UFsuUuiPccw94v9zGjiee4OriAF/72n9xIR+lHeDii3G2bNPLhyVKgLW5G/TSMQ8+CP3L14HVSm2thNdbxQbbEgBqmtazYkXyUFZZt+kRoIlcQj1FMxBg0bwoeXkVPOMvTtIV6PeZIRaj0OpnV5OEy+nkuGOOOUEIMbnN9ftE9fX137v66qtnhJ0sywwMDFCY4nZIte7CijkNdglJyGSLMWzZMoYyB6YDPWmwS+R0AVPCziqFkWISo3IWs01d9B3fQMmTz9Fcs5q1eVtxSX6uGvg6p9peSIMdgN1enwY7UEG3+sCNmLFTIMqIESFMgHFLN7/c4GHnzp1EIhFqampYvHgxpaWlRw271yubzYbH46Guro6qqioGBgZobGyku7sbWZ5cDWk6jYy8ysZ9n2CMIczYceDmyfFcHho3cPfo2XT+8SxiwwMUZO1lILBILVu27LMwy0HVwmeZazoCwEvhJdhFiM9nP6AXfDaLqNahQR1Dzhd3YTqxAgW032N6SlMiWClh2VtEBAMydimEScQ48kIMQ0MZJpHkmAGZOJLaekgKYUAmO7CqvKKi4rw3em1fj94x4BUUFHzowgsvnFzFeILa2tqoTIQOancxv0d1ZdYVq/UyE3Ngq9isR2UCRB9/nBZrAX19s1lXrcKOqirdJZbQ009Pht1PPb+EQIDYwoX09DRx3oIoBYEAFUuX8uDGwxx3nGq16bD7lFpl/Xo+yvU8zOyTTuL7JoU77wR/axJ0iTnHUDjMno4Ojhw5wpw5c1i8eDH5+flv2QT4dHI4HCxcuJCamhr8fj+NjY2MjLy+6PwE9CIxiX6vBD4fkfGDXHwx/DP2JA/ccgvfOMVEeXkO3wwr3LB79yToBQJal3WHA7Zu5dILI3rps5r2DaxY4WRkRPCA8TT9iWbLFuivXQOBgM6x/uI6aGykoT5CZydEquvA62V5aYRYbJh4ys1l+/Y2vvCzn/HJT36S4mK46NprOXTokMGZnf2cEMIghCgVQvxFCHG3EOKU/+xKv/MSQuTU1tYun8mVCWphh9mzZ0/5txiQ7YQVsx6WDuggBMgzDGNcNRvTFrWgcSrsLCl1YI+z7JwEO0WS6YsUoQDda47D3HSEHQcqOPH5v9B1yio+NfIzTrTvpdg4QHTpXhV2efVkzb4SWQ4x2nwl8ae/jXlblHU33ECMCAWijByRi1fpQRhj/GnDCfz8niW43W7q6+spKyubco7yrZTZbGbu3Ll6ibYE+F6Pty0BPQNmcinDipMDhTG2zz8N+4+OUOD9PYzsZzhQjbCVwYkXMLY6Pgl6PtlJrsGPN5ZLY6QGs1Z8ujteiC0aJGt3K/ZjCxiMq9ayaqGr65hFFKdBDVYKylZkJCwiQhwJf9zB2LiJqD+OqVA1VkzECEc7eKbzdu5vVwtw7+n7HgcHXyAwGvz52zHm3jHgzZkz55pPf/rT2TOtMzw8THZ2dvKpS2tfPdG6a21N1pTsN5bS0qLegPcZDMyZs4ClS4UOuwda6wgEwNmuFR1ONKDr7GQj6bBTvvAFnny1n/37q7EcOQIrV/LstnIWLaqguXk3WVkKBAKTYAeQ17SZSEjmgtNV2IVCapBKRXGQnT3DHDxyhLlz51JdXY01US7lHZTRaMTj8bB48WIGBgbYtWsXY2NjR/19zeAjFoPdfUEIBlmysJR77oHLe+JcJAR/PSePvLxPTgu9zk7Y2F6pWmGNjTgcsAE1mbimfQNr11YhxCHiikJp4wZWrEhCstI7wcprbaXS2q3n7wG43R7+3QOEQtS5uykvr+TmH/4RFIVCq5+vX3UXf/vNbygrKZkNzAG+APwAuBCYnIj1HtOCBQu+8Y1vfGPOTOvEYjFGR0fJy1MLG0cVI1HFqD/NJ6w7y4SnfVkLYpEXleFoO4wlFJzSsktU4gew2tRpgFTYDcZzyTo2n7yeNuTuAGfYnqUg3MfNfz+Bj318gKtL/shY3E6kwaTCLvtkIEbA9xh4O/j1D3/E2sduwk0lJWIOT3Z8gW2jt1FYu4uf/2UR+fn51NXVkaN5Y95JCSEoKipi6VK1oWxjYyPeiV2WZ9DGfZ9gw77TUFCYV1FE/TE5/PGfQ/zZ/zF+cu2PKGy9h2DQTDDonAQ9j7FTL9B9vPUV3Qobl616W6fueCFSxzBxhw2RZ2UwnotdC2CJKUYiigmHFFS7YmguTZOIYSJp0fVvGyN7eR42KYRdCuGyFPCh8otRgJBi5pOzPsNxJVfikMpyLRbLh3mLx9w7AjwhROWaNWuqzeYZvZkcOXKE2bNnT1ru9UKdR6uq4TXjcmk1HzXrzu2Gkj33YSspwWKx699LwO6C+l0qAJcv59pvS9x0cbI8zw9+gGpuXHwxj78ywubNZfximVoya8MWJytWgM+XS35+BXH/Vh7SIt1SYfeLXIULL1QtnlTYtXf7aNq3j7lzy1i0aNG7AnQTZTAYqKqqYuHChbS3t9PW1va6njwjkXZkGexFi8Hno1Tryjzvyd9yrCzz+EUl2Gwf45thhcj2XfQddxygl9lU3ZsOB7jdrLJuw+GAB0Kqa1OSJIaHK3lIK5cE6vr9HjUys7xc/dvY6K1L1lxLyOvl2LIgY2NjaVZeby+QnQ2dnRQXQ4vPx7w5c8xz5sw5AygHOhRFOXqf07tUQghp1qxZZy1evHhGF8Lhw4eZM2dqJr6WdTfb1oOx3IHlgBqUkpjrAbUjd8IlVmU8TJYtWTs4Zo/osCuskonYjPh2qZ8ZhMzHen7OMlo4b+stNJ70cQYvU5PZLbZFQExt37P7jxT9OJ9/h/JxU4lDZPFkxxcoKnLz8MPf5Lbb/pv6+npciSfjd5GEEJSWlrJkyRJGR0dpamoiGo0e9ffv3lpP1TERGh9yY1GcvBQ28VR4ENt2I6WNX6Wvz0kslpWE3prkn/PulLE0Es9mX6yScdmqVrvRfsfOF3dTeEJW2j7t0jgxxahbe4ko3Ykai1jx9QrMxep4NBHTH4DGtaotjvgODPFiadGiRV/kLR5z7wjwFi9efO0VV1wx4zzC2NgYNpst6W5IdEQoTvladbVepQOS1p2iKLQbDGRVriAWg1ItqVTry6rC7vzzufbb2unfcgsbP5nSAqS8nCdejbFjh5kf1GxQ6zw61GKwLS3q/fiY4nHaP/95+r/wBW6Ukj3kErC7+mr1Zlxq7KeiaIxXmvYDQerr63EkJhnfxTKZTCxatAin08mrr756VNZeu9ZtfskSD7EYtAXUOaBCt8zWrVDz6K+otVj492ec9FsEFosaSee85TrdJVldDXc/Xqhe5PJyVlmT9TcLN63nzDNdQJBoXl66lVddTSVtaXN7oFZj2eUt1cvH5OWVs7XPrFt5AOGoBLEY/W1b+e73f8o99/2L2pqarwOdQLkQ4h3zhLxZKigoWHfRRRfNaN0lApoSwRRfrr0XSBY3BjUCb+KNLWHdxZd7sG4/QBhzGuyKJK8Ou0Q1f4BoKHkTNRDHU+ila0EN0c1qxGCJsR+X5Ge2aZhv5f6a2BiUzL6dI5bPIJ2qVnwZ82/WYbe2W+18YMbOU50X86EPncQjj/yJurq6tPnId6skSWLOnDlUVlbS1NREf3//a35neHiYjo4OvvnDM5AVcFGKQEJG5uRn/w/7dony5qs4ciQXsIHZBUBlwwa9i8T2cB3HW9VY8pF4NtvCS/Tt+2QnsYjA3DuEVJGdZuUBBGUbeYYR8lJaB9mlkN6KCGCwcZysuhzdygPUmp1IdIwPsMO7gdNKP0+hY8HxgJe3cMy97QNZCGHyeDwnlpTMHBdw+PDhydady8XGTZLaDiYR6QCYQ35wu2lqUu9rBc334y4tTQZ9bN1K94pzktvxeLjuevWzm3xfgp//HFBhaH7kAfySxJ49w3x71uY02Hk8asubqip4uKyMVw8c4EebYnzhC8dxvaTWwmxpUWGXmKvriVvZvW8f1dWVeDyet32O7j+V2+2mrq6OQ4cO0d3dPe16Cdh5tBbvWolPNWrT69Whd8wDt9Cy9mYe0DrVFpWU0Pfd7+LEj8ejPpRUV8P6TckbVFUVPOBbo0NraGguj/S41CCZUBsN9RE2bk+PeGsOVYLXm1571Ovl2LIQfr+a7jE4NMR3v/tFGhtf5Zt/e5jTPvpRZFnmqquuZMnCmtmSJD0PfAO4U/v3ntXs2bOv/MQnPpE10zq9vb1qb8kJchn8dEcL9QjchGRFQlbUcTQ7ux+TXWAcGtU/T1TxALXEVYWxB4c0hmKJ6LAzOkYxBs3EjUb2nriGhVsfQpCE3ZbQsfxP7h0MxPLwn7YTEwHmrTyGtjYTAb96w77tmzfqsBuhl5bY73n++X9wxx0/paamhtdqaPtuk91up76+nrGxMfbt2zethyUBu8WLFyOE4OF9pyAjk0MxuZTr0Mt+OULJs9+kvU27Dsd9ikiDiaWuHdSbm7GIMNvDdWkd4IOKDbvWdgkga3crBUuTaUx2MU6uNEI8BSEOaUyvtZmqQNhCMGxGyjIwFhvjyc678Yba2TlwP39t+zkKCi/0/hGjr95dUVFh5C0cc2878MrKyj55ySWXeGZaJxqNIstyMjJzKuvO5WLbdkm37hJaWDZCp8GAec5xadZdY6Pqqax88Kf6ujcZr4Of/5yNW8x6DUs5EODlkhr2769WqaXt0+NRg1s++UkwP7ieEKob88ABL/M23UXZF77A5jUyvb1qqkGlo5+2gExPzxHq6+ux2+28V2U0GqmtrSUSibB///5JA3Ai7BKqrFQvYSr0WlogHC7HVlnJ9913IXo+q0IvJ0eHnm4AOxzgcKjBSZoKN63nox/NAuI80Lk43XXp8WDeupmVKzVXpbahVCtPjVLNY5s3h3y7nft+cR2PPnqQr3/9W/Q89xy/+MUf+PWvf8uVX/gv6biGhisURblAUZT/UhRl45t5Td9OCSEKGxoaFrzWFEJfXx9FRWo3gqmsOwC3Nr+TkElEMYko0nEV2F7en2bdGYjjMXZSaEiZlzJFGRtXAyCMjlFETO2c7T15MXMbn8AQU11kCdiVG3sokryYatSecZbTb8VkgrKSnRzpmI3t23/no1nPkCNyGaEX2f4Kl37m0yxcuBB3oijse1BCCObMmUNBQQE7d+6c5OKcCLuEHt13qg49Oy5kZCrXL8QW7ibL0MXwkBWshbDoOAbOH9KhF0p5OOmIFrMzrLYaM4soPtlJVDZibeukZKFMULERT+kBOBLPJqKYMAg13QAmW3neHUEcS3Nxmw2cM+uTfLX6Ro4vPJPz59/BWRUXsKr0EozhZcyuqDoD+PxbNebeduBVVFRctm7duhknr7q6uihPCR9PKM26Ky7WW9fQ0qLX0Ozq76fM7eaFF4QKuxTrLhGfsiGQnmbVpBYax3zLTWzxHM/jj8/ht9f16Z9v3ZqEXemW9fC976EhmOt5mOCBAzwz+kMuu2w3ixeEURSFVzr9hMPjLF266C1JL3gn5PF4yMvLY9euXcTjanTddLBLKAG9fgr1KNuVK4EVv6X4U5+ipORHgGrpHUwJJKitRbXaXC5ob+eclf26lVe45QHOODaHWOyguvLWrYyMtPGJ/3cJn7z5ZgCeeeavfPIbN3PBZZcxNjZGMDjG56+8kku++lXaX32IYHBqa7XQ6leDnvLyqK1eeLoQYmZKvAdUXV191ZVXXjljWZXR0VEcDsckD0SqdWeTQjilgB6Fl+h9J+WYEbKMYXRch11EMeturzgGIopZ78cGYDYHETGJaCgLeYEVc2iM7KEhgmNqsIycFdJhF114iPFyP5yu+quNRhcmY4za39/Etnlf4WehSzmi7GX2PME5a8/m6uvXvSvnx9+I8vLyWLBgAbt379anFaaDXUKP7lMbThdShR0XAPc/+l3cj/4Q36CNWDgCDo8OvYSeDp7IfNMh/SGnPVauW3k+2Um4xUdsfgmJum7xaBv3Hf47fzr0Z8wiytbBJh7ouJe/tt9LJB4mIod5pvM3PNn5R7a2vYzssOnfTVVYMWuBMoLs8PKFFotl2eS13hy9rXdiIYSzpqZm9muFAft8vuTkcsK6SzXlUqy7Uodff5KfP19m4MABChOWoc8H1dXp1t3y5WzdCjee14weHgiYr78W/9lnoyhxfvz1cTUHr7pab3HjciVhd8Pu3fRdnrRyHj1W4YwzcjltdTG7Xn2Vl3e2UeqSWLhwznvOhflacrvdzJ07l127dnHwoAqc6WCXUCKrBMBslKmqghNPNJH14ot8c9GH2Hxvt94uwhnq1yNuvV7oplT//Z6zsp+7O9VIWqvZjKKYOBx1gtfLxz9Szpe//Huw2zFv3UxLyz+58cY7OPdDH+Lp+37Prl0PsOykC7jjxz/moSefVBt/Jrrcos0DVlXpwSsRVyGnr15ty83NTe/X9B5USUnJ6vnzZ+wAREdHB4lSY5+veYiAbJ/RukvM40UVE0XHZ2F7WS351R0vojteRL40rLWeUR9yzCKCzTJKPJIscCBkgWSP0TF/BRWtGwmO5dERK2F+vhqxUmHoxpivWYenr8BS+SWsVi3Re8MvOLD/GO76Ry0Lzxzg+GPKmT+rmG//6My3Pc3grZbNZqOuro79+/fT1dU1I+wSenjfKeQZVPdyTs5yrjv0MP949LuUeW+ls6MAhAFs6rTSksKXyJFGKTAOYRYRSoz9dESL6YkVatALYSCOAOxNbWTVuQhjJt/i5vI5aseJkXg2O4b3c8Hsj1LjWkbTyC7a/Nuoz63lrIrP0jraiL81jK0qGb9gEREcUpCoVo6u2OhF8jUY58+f/6W36lq+rcArKSn52Gc+85nJpluKfD7flCHDu5okamshLc4cdOuutxeUYCvlw8M8O3ZcGh/b2+FcrxqUsiGwitWrUfvbnHkm131PfYCXhaB1YIBAYJ4KO5eLtvJV3HVXSq5yba0aTg/cdttZXM/DnPSMCr4LTu/HpSiMxizE4yPkls0YH/CelsPhICsra1pLfCrFYulWHsDiP++gftYsZFm9eb4IHCwqwuFQHzBqa9Vfd7erJiVRD/UXsmULCxZU8tJL7WoFgK1bcTjAP5qsLwoQq1hNZ0sLXV2dFBerN3SDwYDDUcFLfQbo7KSuVsZq1RLRNbW0wIdXncSy+vqr/6OL9Q5LCFG4ZMmSGX9J8XicWCw2qdqOU1ItOIcUTEstSFh3BuJYXALGI5jC44RJn7PzGDt1667YqEZWjis2HNIYslENwjuwfC2e/RuI9hfRGpvN/PxdCFli1/AxSFYtmu9zRVB4PFZrLbFYL2P995H9bzs/Gf4C+8b203cgiyUnyTz1Ysv77gEzIaPRyKxZs2hpaWHOnKN7kPbLDqoNRRSa68jJWc69gQoevvliHN3PMDyizcfWLGPwXD/15mbyDCM8N34c2WKMBtsu4kgciZbq2xuXrTg7OlHKXPqyQoNXLyqNEEQVE2VWK76oH1/Uj9Okuq8lJPwHQpjnOlWAChkZCZOI6WXq8g0+TMY8cuxlJ7w5V22y3lbglZWVfXrVqlUzziAfzU20LaT+Ekodyf5nCxYoDLa24q6q0psO0NuLv7wm+cWvfY3GRlhTrFp3131PbSt0Re+1HK6uxpOXhxAGsFppW36uDjurVUtUP08tBpBIQTjpGYVrroFrrlE33zI0gsdTyty5C9i3b/frCud/vYpGowwNDdHf309vby9jY2P09/fj9XoZHx9/S/fd3t6O2Wxm2bJl7N69+6gqRZSWqtDD7cbs66eqSr2uBffeS+vfvs7m5Vdx/k9+whaSPQBdLjVOZevW5HbcbnTfdH3pMIoi6FLy00Da7F6FNDhAVRX09ByhvLCQsrJy+vrUqtXy+DilpdkEAgF1g1ppqYSVV+hVvQpZWVmUFBUtFu/hu+icOXM+/ZnPfKZ0pnX6+vqmDFZJVZX5CDYR0m9OoFl3yyzk7NxHXDEwGHepfe6k5O8irqgVOmRjPGndmaJIMYnh7FmYwuNkjfbjk50stamW3UuDJ7Aku5GYPYKvWv3duEv+Jwm77z0EQJc8SOU8C47cOL+9Yy+33/lhwonyg2+B4vE4Pp+PgYEBfcz19fUxMDDA6OjoWzrmhoeH6erq4uSTT6a1tZXx8fHX/M4/W9bglx3MkmZTaK7DRzfrA3PIj76Ab9iObC0Du/oQOOeER4grEpXmDnyyM839HMOgl4TzyrnYD3XgqLKlPeDYpBAxxYBVCuOL+HCaXDhNLvxRHwBxIBQ3Ew/GMTkERhFDQtatvNS/q/ys6gohxFtiMbxtwBNCGGbPnl05U+keRVH0wq1A0p2puZ4KmRCmq7UpV5tYD5M7MqJbdzU06wEnEwNbePBB/GvVeb0vfhFikoTf42Frx2LWudUw+M5O9YZrtcLpp0Pp6XXcsHu3XhcT0GF3zsp+OoNBLBYLkUgRhYW5VFRUsHv3mwO9eDzOwMAABw4cYPfu3ezevVv/o1cUBYPBgCRJKIpCJBKhs7OTpqYmdu/eTUtLCz09PWldFv4Tpc7ZZWVlUVlZyd69e4/qu3oJspRcKPPuMWq7uojFhhH/vQkD8KeiIkq3rCcte8PhgFCIde5t3H2PpFt5VVWz6e8/wuD8+fzhW6fR3Pwqd9xxM2evXMlXvnI5Dz10H+ecfz6fXXM8TzzxD849/0o++uEPU0o3DoeDHcOFupU3Ubt6Czl+2XI3sPiNXq93WkVFRR9btmzZjMD2er0UFBQAqjsToNjoxSSihJX0Kcx8g48ai1pbW5gEmI2YgmNqXzvFoeduuSS/XkUFgKiJQTlXt+7iEQsdxxxLaecTWIZS0hNG7azI2YocsuKr7kX+SCWmBf+DweBAlkPwitoW54wXf07EtYuahS42PjPAjlevpba2lqampjcFeoqi4PP5OHTokD7mWlpa8Pv9xONxJElCkiSEEMRiMQYGBvQxt2fPHjo6Ol5X4YaZlDpnlwgga25uJpbikp9JMcXILCkZ8f7bn/yIwu4/09/rVOfyapYRPcbCmed8Ty8iDVBoGMIvO+iJFTKuqBGa47KVnNZDxOYVMxod5ydtL9Ez3slTvZuozanlz4c3sNO3k0U5dSzKqaNl5FUe6/wLC52LkBWJwb0xTPNcupU3UYssrYQOL7EvWLDgwv/ook2jty1e1+FwrPzYxz42o+k2MjIytTuTumSApsOhd7tWCzOqCu98msLTz4VXtQW9vfiXr+Gee+BL/AZ8PrZtl9R7rU9dpb1dnbvbX1PDr/5Uz52XbtObyibWueBsrT8bahHoO+5Qc+5KfqfQcjWcc2YE34hgeDTI4tnltGkPt7m5qim/e/fu1/S3Tyefz0dXVxeyLJOfn095eTlWq3XKbaVG2KUqEokwMjJCa2srsViMwsJCioqK3tDxTBWgkpOTw9jYGO3t7a85l5caJGj29VNeXkhnJ5y17V/84B9X8NxzD3HyyWdxHw9z9o9/TPbDj2O3zycnZxa33fYsJQ4vt33ta0krr7OTZSPbeFbkU1pTx28vuYRtnnNxOKDGu5lPrljF1q1wOAI1gW389a9/pL1d65LQ0kJZ2Vy6unpAMzysVtjWaKZheTV1Lc00U8NZp63ln6ec8k3g06/7gr3DEkJYzz///FkzBU3JsowQYtLfw2xTN3EMaocDxYykyFik9Iem+UvGce09SEiL2IsrEqWGfhab92EgrgY6YMZO0hpRLBGQFIbKPGSPHMY0rtA5PosKSwdRRxjjiBHFKCMcQeQqK6YF/0Ne3nnIcojxgPow+vEX/8CgYSPnf2gld9zzECtt/w8Ai8WiQ6+2tvb1F0RHLfLc0dHB+Pg4LpcLt9s9bTpRf3//lPl98Xgcv99Pd3c3wWAQl8tFWVnZG0qPmCpAxWQyUV1dzZ49e6irq5txLP+zZQ0fXfAsRgFZ5DHEETaFZnFFYysDZXFi0TiW0o8Sz66is/EObtz/JCbJSbE1l1kWE5tHnuExOc6NVdUUGv30x90Mxl2YfH7yC7P5kmk1NjFOR7yUoXgOpxZUMhLPJo4grJj5f7PPIyybkZEIykaGe2QKl5lJZHLKWl6nX3YwHHdik0KYDR5yskrPAr7zui/Ya+hts/Dmzp178Zlnnvn684BSrbv2dtqsKS5Kr5dt2yVkOYJBs3R8PvVml2bd+XxwzTU8/bTadiZV4bExRhfWE4loVc6sVjb76ti+Pb3x+A27d+uw+93vHuKyy+7mrrsgHA5z6MgRFlWU0uZ1pgVo5Oa+fktPURR6e3tpbGxkeHiY+fPn64Vtp2tTMpPMZjMFBQXU1NRQW1uLoijs3LmTQ4cO6ZGWR6OZojFLS0uJRCJHVRbJ7db6/7lcmI2y5rI00Gy7hpevqAegDfjkq6/y61//gYGBV2ls/CeXX34H537iEzzw5JOsXQsbHpfg7LPB5yMrqwCfrx/cbhrq1Ztys3uV3gnd6wXKy3EGuhM9bAGwWrMYGxtjl7UBtm9XQThBZSUllJWWf2TSB+8Bud3u088999wZHzIHBweZWFsz1bqTkHEZ/MiKlFYyCiBWkoeld4CgYiWuSHpJqoR1F1cM2MU4hYZBAL0qx/8n793j46rr/P/nOXNPJpPJPZmmSZqmzTRN00JLKbdaSpGLgrUq+lVEXN1VkQV3112R9VK8ILur7KqIKF6Adb0BpQooYCm1FCglQNqm6TRNc51ObpNkMpnM9Vx+f5zMJJNMJpmhLez+Xo+H0pw5tzlzPp/X5317vVWgp+ECyk7vxxAw0S1VTpFdLhhmpN+/66NYrVq90PDAvfDyjzEcjPD68DfYsX0d/7PrGS61fIj/bntv4pCZpJeJpTc+Ps7Ro0fp6emhsrKStWvXUl1dTV5eXsZjTqfTUVBQwIoVK2hqasJms3H8+HFcLhfhmS/gAkiXjZmbm4vD4UgkjqXDkycuJ6wYqBKryaWQ09IhfvCX/6T+4d8z2Dn9vF2Smc+WRfly3SZ6goO8MtbF55ddQV3+Jg6M9jKhWinSjRFSzJiPdqOsSfaUW8Ugo3I++bqJ2beQBDWmIukN5KZQZkmcy1i1TBCEM67/ds4Ir6KiojFu9cyHSCSSflU2w7or7T4EV19NIAChUB9LU0jx/OxnsLVFq7uLW3cNu+/Gf+ud3HqrNl+eqq5m6dIpDevmZnA64wYdt92sWXdjn5juhrxrSj7s8cdv4v3vieA6eZKGlStxeexJZBdHJqQXDAZpaWlBURTWrl3LsmXLzqh6uyiKVFRUJCSWDh8+zMjIyILHLVR6ALBixQr6+voWlESKC00DWmG4VaGyErq6Kim47DIAvsRV3CvLbL+4kW3briYWEzCb4eTwWtyA8UByeU5ubjldXYPa6mb37ulylXlwxGUk6mzC4T5EYaERWZ7f3es3l1JTucT6v7GDQlVV1Se2bduW1syJN3mdDyHVTEzVJ6y7Qp0Pn2JDX2pGNzyelGVeJnpZM1W8HLfuEteRi8i3eJFyogxVraawqwNRVXCHqrg072UA+qVSFKO2CBtrmC4bGRq6D4ZexnAwwopfrmbr1g0cftPPRt6TRHZxZEJ6kiTR1tbG8PAwq1atwul0ntGaWUEQKCgoYM2aNVRXV9PR0UFPT8+Cc8FCpQcAJSUlKIqCL5G0MD+ePKHpMBswI4pm/tt/jJyAF0XVE41qGZvnf/RD/CTSzx3Hn6Ipv5YYBorEMc7LCdISzEvU1AGIwQiYDUiinpBqYanOk1jQgNYVYTbicnRjpyRyatP34rSpF+UvWbJkR9qdssA5ITxBEFZedtllS9LtEwqFkhuSejyJrIWUnoAp685qhcLh1+H6G+c/+TzW3Xv33UZ4y1X87GczrtvYSHHxtHU39olP8AO0RJU4DhzQXJmn+/spKS5e0HWyEOmpqkpPTw+dnZ00NjbicDjOerZZQUEB5513Hj6fL208YDFkB9rAXrlyJe3t7Qte22hkFvOBqgq0Gu7gu009QB+fBPa2t/Pss09jt2shvPHxXiodc/MvVo8cICdHj4eSJCtvJvZ3OECvZ2NxZ9L2/PwyQqHBOfvH4XbD9VduE668/PIvLPjF3kEQBEFYsmTJinRNflVVRZKkxKLqA849eOVc6ow9xFRD0gQ3G1VrZEqPtyKTugQgqhqRVTHJupNyouiiek5XrGeJb1/S/lJOlH1hrc5urMGD9JmbKVjyD9M77H8Fx30mSksLqKq8gGef/1ra778Y0hsZGeHIkSNUVVVRV1d31hVZLBYLjY2NmM1mWlpa5k08WQzZxVFXV0dnZ+eiEscePf7uRE/AOFY+tJuBk6fR6e387vETfPEjFt44P5+2cRciCj7FhjfqJ9+QbGwFVTN5Xb0Yls3f0y/eLmh2rC7QHSGnZv73cqWpm9hoHSWF1Z9c8EtliHNCeCtXrvzIjh075l9GMr+sUQJeL/7Khjmrd1kOYZkikT17YEfx/qSMvZlocO2CbdsS1l3vkiVUVFThcsEjm+5P2reyErBa+cGMbXFxaIBwJMKo14ujvJy2DiMNDaTFfKQXCoVoaWnBbDbT2Nh41vpxpYIgCCxfvpylS5em7Ie3WLKLIzc3l5ycnEVpACYQCGDUK/z2t9DTU4H9oouAEm6jgg/HYqx46gne//7tfO97n+PAgUfZca3WPSHJren1kptbRltbMnG1FW/G6DrC5k3zW3BWawGRyNiMvzVvAE6nlvgErGtspKLC8TeL/1LvCDRs3bo1rVU6MTFBXt78DUt6Yg5EFPLFiTnuTNVkQBeJMihr7lCTkNqyDylmoqoBW572TviKl5I32I9qlMgZyEeaRZhSIA9pw7SF5fPtRp1SkhYEgZs/9Hke/PmX+diKX/LLY9vTfb15SU+WZdra2vD5fJx33nnnXNu2rKyMxsbGlNZeJmQHmtdm+fLlnDx5MqN70OutrHr9/ZiDPmKKGUURuPzK8/n56yXcrHawMXecjQXL+WXPcxwaO0Fjvpa3NSIXUKQbI6oaMXQPotYUJp037tYs0vkwC6nHnSqDoJv+bjH02MQABkFKLLJEQYdZV1p/pjOkz0nSSl5e3oULFb76/f5FT6ylkgfWrcN9EFatGqTs1KzB5nRy7zMN/OO2I7Bn7vFWK7x/zy0c+dCH+P0v85I+2LpN5CtfgZlegp1cx/PP/5EXrxB44uMqj/wsytG2U9TX1NDpXpjs4pidyOL3++nq6jrnRDcbeXl5nHfeebS3txMMBqmsrMyY7OKoqamhpaUlqYGtoih89atfxe/3s2HDBgwGAy+88AJjYxEe/uWPiAd2VVWkp/QfubtsM3cObmQnT7JKpyP6kY9SU/NRAgF4+jW4YUvulFtza+K6ZnMhknSU/Tlb2XxwPw1OJ0cGFhYM1saTwGHTBta2NNOwbh2HWpIzEycsZeSYzW9/P5kMUF1dfflll11WmG6fgYGBRddRGoQYJiGGDpllpV50o3NPXaQbS6irpIIqqvTXbGSZa1diqV1j6SJcHOCJk59I2tdSdI2WlQnwzOP83Y+f4V3vupf2N+HdS/6HXx5bnB7A7EQWURQ5evQoK1asSEv2ZxsGg4E1a9bQ399PW1sbDQ0N+Hy+jMgujvz8fPr7+wkEAgnynm/MLbkwgvzKNZzmSOL4msf2MmRowLmqkgd/sBle2k3xI+XsDjrZWNjEUn0/fZKPY9EVrDZOE6sgK6ATEae6oTt0g4zIBQRY2CXsdyvoHbnYTgcYU1JbiVZjtQ1YCvQu+mEsgHNi4ZWUlJSlyxSTZRmdTjf9I8dFihfhm45OerHl5GjW3XtTrCjWreOnPxO59dbkzcNFRZRMHffItkeSPpsSaOH4DMWGvCsEdrKHnTvBPzEBulxMC2gTpkLc0nvttdfo6emhqanpbSW7OARBoL6+nlgsxuuvvw5kTnbx81RXV9PT05PY9oc//AG3243BYKCyspInnniCBx98kOuuu4Fdu3ZpVh5RfvtbeO21KgovT+77aCTKunVJHtAE9h8QGbp0B6tPPEF+vsDExMKunaZGTdMzum4jDvchSkoKCYfTd3svKSgwCIKQlkDeSSgoKNjS2NiYdp9wOJyIV33Aqa0MS/XpEw4AJuqWYezwEMFInjg39d6n2IioBhy6ZEs/ZrAgyjJ6KYrRb6EzVpX0+UpDJ2PvPpb4WxTNqN6DFLxcjE6vsnnDJ3npZPOC9zcbcdI7fPgwLS0tNDQ0vK1kNxMVFRWUl5fT3NxMb29v1hndy5cvp7Nz2l0/35i74YYbGApoha16vZWyv5SQN3GCQHRuqKBMN4JRiNInzXUUFOnG8Ck28odOo69IH4+biXhsL9ARxFqX/jhjtM5cVFR00aJPvgicdcITBMHicDjSqrjObEmSBLudvS4HDXYtntc8512X0ItiInDu8Rqhu5tDgQZmz9W2PbugspKb7tvI/dt2MVBaSvlMV0Y4zA1P3cTNNycf1zTrisXFcKKzj1WVxXOyMheLeP2OqqrvOGWI+P28Ff3PwsJC/H5/Ii544sQJLr74Yu69915+/OMfJ65x/vnVtLk8zCy4m5w0o8/P57vi0zRwHd+JxTRVnBk41F0KGzZwrXV/0va8vCJUNTkJx1/TBAcOUFmp1dWlymjJzS0gGvXN/SJOJw3mTlwuWH/JxTStWfOubJ7H24GioiJHutjyfO9evbGbHCFMz5TCxkyFlTiEfDO68Wmii0tPFYljc/bVCTImfQgpJ0r/sguoPPFm4rOlOg+h0gkeab+FjaaW6YMuuZXc3Ok+TxMDVdRfFOblV4YoFVbyuCtztbf4mAPecWMuPtbeypgzGAzk5uYmEljmG3PV1dV8/LZyqsSNRCJaUb8AWPQjBAMq2OqhaQ3ebcm1tRX6IZYZ+ng1vJYhuTghHm06dRqlLrkcKkcI0yeVoxck9IKErM79XvKkgi5n7naDIOGXrVyc04I8UU158fIPZv1QUuBcWHhNl112WVG6HZK0MxfAhg2Ay8Vel4Pc3GFKCtMsug8cwOPcGhdISUACxPx8bv3RavbunuuCWbcOGrY5+P2MbX/SPsHnG8FqtdPeX0Bt8fzum/kQCATo7u5m/fr1VFVVnbHi9DOBuBtz/fr1xGKxtO2AFsKyZcvo6uoCoLKyMuHOnalz2NvbS0VFskvtqafgNx1fxbxqVdJ2mzmK06lZ3jM6QyUhP78EVR3SfsDW1nn3mw2j0YIkhWizboSDB1m3TpOyY0Yiz/r166mtrf3Y4s749kIQBF1paWnamPnk5CS5uWmrhBLQCQomIYZFCGHMATU0fyauRy6lT6pguWGuFyqUU0lOuAtVL6MGkt1eDt0Q1Zv/AFdNq0r5fLsRfv8kktGIrVAl6qlggzFzspJlORFGaGpqOmPF6WcC8Zjdhg0bqKiowDVbOjED1NTUJMZwujE3042dn7+OG5t/Q+HR3zA2nOyxusj0OssNvcjoaIuuSHlNXTCCmqMtrIKqJa1LezZkVYcoKJTqRhNuzXFlevFr0FnRK4XnL/qEi8BZJ7z6+vp3b9q0KW1UeKbvGf+UGPQi3Jn5+SMU799PmzN99uqePdr/7XJvZNMmGAZKZtbDeL3s3/CPfDDFWmLHjE7mDz9chNvtZmVd2oTTeaEoCu3t7YlYQjZ1emcLs2N2y5cvZ2RkZFESRqlgs9kIBoPIssyOHTt49tln+fu//3s2b97M9u3b+dznPsejjz7Kpz61g85uMen3Pnq0lNzzzuO7PMmdXMf3PvEJ2Llz3ms1NwNmM0tjfYRCi6gt7O7Wupu7AKeTJSNHWcirvGTJEgxG42yD/52K+o0bN6Z1v85eZHrUvkT3g7RYXox4ahijEE2bxQlgMU1gFGJE7CGi+lwMkem6qyG5GNU+gck3K96T46Cg6GP4/c8kNv171W389dXk7NpMcOLECVasWIHZbM66Tu9sYHaCSnFxMbm5uQwMDCx8cArodDry8vIYHx9PO+Z27NiB0xDBYbk0caxRHicmmUAOIlReD++9HO/16RNhdIImLpAbGEPNW7jI3yxEEVGYUHIIqmZiARldbnqhbyVmLj2TiStnPWnFarUumLCiqupcc95u55DbobUDwkqbe67LU1WVJMZ2HNwFN97InntSyInNwEhfH6s+8QlcvyWhohKH2Qy1NQp39fcnbX/+MpWHLwsyMWFGFwoBBkjlhk2DU6dOsWzZsqQV15lQZHmrmC9Bxel00trayrp165Lua3Jykne9613s3LmTEydO0NXVRSwW44EHHkjab8mSJXg8HpYuXcrPf/7zpHN/9KMfTXkvZjP09Rm47bZ/ooJfzXvPnoANh93OZmeUP+2ZXpmqqolINMrM4effsJXa5r0csm6ls7iJWu8hsCb7okVRh6LMb7kIgkB+fn5aq+mdgqqqqnddcsklaQlvfHw8ZVa0jMhzk5cwIOsoEgXyxVkxvbI8aBtOtHmZUHLJEydZquufc66ZGCtpwnByiIg9hKk3+TFebHqDHEMAf1XydKT+6dt86vd/5oL3jzD4UpTz9WrC1bpYjIyMYDKZkmJ2Z0KR5a1ivmzMpUuXcvjwYQoLC5nZv3CxY66qqooTJ07Q2Ni46DH3evC/+dCPf8b3v/BHogU2TCWp57W4HNigXJTkvjaeHoIlFeCaDicUiH50yFTqB+hVHURUI1YxyJg8fe6QJ4bZYSJycv5xZ1TKLMASYJH+mvQ46xbeQgkrcWmjxcDpBNvUxFVaKpFvnn81v4NdsH07Dz00+xMVRRTRxe9pSkrsZz9L7i8LcOxDyVaX19vLiopC2tw2Giozc2fGNfhSFd+/nZZeumxMg8GAw+GgtzfZPfVv//Zv3HDDDSiKwhtvvMF9993HmjVrOHDgQNJ+RUVFc0odUqG2FjoDpRh900kObncepiVzLelwOHXyyvQ95/P4cwqUl3Nt8SGeeQZs1oUTWSwWO5HI+NwPwmFqajQN0LLScrsgCPYFT/Y2o7Cw8PI1a9LLfyqKsqi6szE5n9OxMoKqma7YUiKCCZT539GgakmZyDJWVo11ahGpFPqJYETRK/xsILnUKnfJ3yKK05bjkuUK7g6oZv2CFuVsSJJET08PtSkC7W+npZeu9CCePDbbtbnYMWcwGBAEYUEBiB+1foQmfT41lnczNqYlsdjHX8M3mbygaCp4gyJxjM7o/Nm8xqFR8ioE9MjI6HAaTyWKzNMh2B/DXDH3N42oRmREKvQjmJVaXWFh4RlLXDmrhCcIgrmioiJtworf70+dsLIAIpFx8oeG8G+/CZcLdtj3TrU0mIsdmzxaCxnAYPBhH08xsaGFbGpqgAceSPGpCkSwZLEaVBSFjo4OVqxI7QeHzEhPVVWCwSAej4fjx4/T2tqK1+vl2LFj9Pb24vf7F0Wciyk9KCsrw+/3J1ybf/nLX2hoaKC0tJTx8fGESkd1dTXuWUEzQRDIzc3VuhJkiNdeK8N2wQUA/NOaNQxONXadA5eLDRvgUPG10NLCtVfmopvVlXsxsFjyCYeT3wt/ODmmsWH9eZjN5g0Zn/wco6ioaEm6Bqiz342L6n+5uBOLEFP05AkBoqqRCTUXGV1S9+sEDDEERQBDDMmsoouCkOKdHJYKaTIdZ9IxjviBbyS2R/2vk7fPQvUqhY5j07HUJ1xb55xjPrS3t7Ny5cp5F9SZkl40GmVoaIj29naOHj2K1+ultbWVzs5ORkdHFyXmvJg6O4vFgt1up39qgZDJmANN6i+b+Lsl3EPQr6CqEuTVgSN1jLcvVkG3VIlDN0RItSBFBERD5lQiBxXEqcSVYp0PkxAloiSPuQLzChzl1ddnfPJ5cLZdmsvWrl2bNv/X5/NRmC7xZB5EIj7ydXMFbO5/QOTObYeASu7f7ZiTlGcyeSlZhJwWwKOPaj3v7hJUPlA2hs1mx4+NRZYuJRAXVl6oMeVC7k1Jkujt7WViYoLc3Fzsdjt1dXUYDAZaW1txOp1MTEwwOjpKV1cXRqORmpoaUqltZFJn53Q6OX78OE1NTezbt4/JyUna2toSmoGgBcObmuaGuCoqKujv76eurm7B68zE0FAOxuJiYLqY3BYewuksxeWClhZwXN3I7NRds8mEIERgHgUQrxdqi4splTx0h6dXswZDDpIUTNmROQ6n00lVVdVGUlZ3vnNgt9vTavhlkrAyE6YSI7HhuVmb8a4I8Wahq4wdSZ9P2JeSP+ymzDhIQC9j9JuTVPnjUII9WApvJBLpgJ7HUQTtN/TKbpqMOoalxc8T4+PjGAyGBYvKF3JvxrVth4aGMBqNFBQUUFVVhdlsprW1ldWrVzM5OYnP58Pj8aCqKkuXLk2ZhJdJUfnSpUtpaWmhtLQ04zFnt9vp7e2lurp6zmezkYOdSsdHOTb0A8oO1tJ7iYyqJg+Dq0qeIThk5mi0ngvNLRwIpV7zqaQePlYxiKKIBFUzBkEiTwgyLlsx6xbu4GLU5WE22JYvuOMicbYJr6K6ujqt+RYIBKiqqkq3S0rEYkFyBYGFqobuuAO47yEObbuT5t3wkfI/Y05jac2Hf/mXQYqKZrRoWqRVqigKfr8/pVslFeYjvf7+fgYHB6mpqZn3XDqdDrvdnhhsoVCIzs5OjEYjy5cvT8RJMy0qNxgMmM1mAoEA3/72twF46KGHKC4upr29ndtvv51IJMItt8xtVJybm5t1m5RX+Xt2shbh6HX8kaNcd+ml0LywdJksQ7SuAeNTuygv30hnt0gtmkt8viS4xbjVKyoqMJlMWRSinDsIgqD/xCc+kbbAKVuviqnCRKw/tXck6R50ErJRRpBEYtYIQdMKTJ1zF5n6sIEinQ9FLzNZObek4bngZ3nl+AtcZVwDSPQrC187jt7eXlbNyvSdD/ORnt/vp6Ojg4qKinm7EgiCgNVqxWq1UllZmViU9vb24nQ6E3G4TBVUBEGgqqoKt9ud8ZgTBAG9Xo8kSRnLpZlPHCFsM2GpWg/rrmE48EdM/716weP0/gDkm2F88eLYAEpIQTSJkCY3zqDLOWOiD2eV8KqqqlYsWbIkbf5byoSVRSKbBA8BELZsoWGTjbbtd8KGDdx9cGE3iSRFMRozd2f29/fjSKH/mA4zSa+hoYHjx4+Tn5/P2rVrM/rOFouF1atXMzo6SktLC06nMyH7lY2CysmTJ1m9Wnv5b55dsJgGRqORaDSaFISfDbNZi+PVMkTUXsrgoMidd1owFBbCwmHAJCiKQbteZocBmhxZw8H9ODdtxuWCmpoGSt1teOwNBIJ2apctW5/Fac8lyqqrq9MGu8LhcHaEV2ok1BqZz3ieF5P5JSwLvIq/1kvOgI2xWCE5JachnD41Vqwt5PijHdTnruF3o3/m9OnfLOp6oVAIg8GQ0WQ/m/ROnz5NNBpl7dq1C3pmZkKv11NbW0soFKKtrS3RFigbBZWioiL6+vqoqqrSZNUyGHMlJSUMDw9TUZFe87xKP4kgbcRYmsOqTh8vnHqW0bXns/hScg3mQS+UL82Y8KQJCSHPiD6suYOXGgbwK1Y6olXUGtwYBImegCF9d+IMcFYJLy8vb0Wmk328eOpQoGHeTEtVVUjre5oHOl0MfQo/u8sFt96qVUM0DOzlrs9/Punz/PwwBkN2mVxerzel22EhFBQUIMsyf/3rX9m4ceNbUoYoLCzEZrPx8ssvU1ZWRn19PQC7d+/m6aefxu/386lPfYqjR4/Om/1lNBoTYsOZrhpLS0sZHh5mSYoklDgcDuiclXnuduezevnyjAlPkmxMTPhJ5cwKBOAQtWy0trGxRs8hVykbnTXUdh9h2KyberdSYyommTlTnFtULFu2LK0fLxKJMDPGVy5UY9f5WWd2zYmhJEFES1jJkPBUQZgTvxMlkW/0fYm7Sr7HaEM/ys0fw5R/SfKBBpFIRIIMva9xksgUcdJ7+eWXWb58+aK9MqlgsVhYu3YtLS0tRCIRLrzwwsR4ymTcxRO/ZrdwWghFRUUcP348LeH99NgH+WLTQyBNzy3WcTenY+/O7MuiJa5w3io4kVpH1yYGiKhGYuiJqEbydQHGZSv4TBTnxWB4/gRERdJllq2UBmc1aUWn01Wnakq6WNisCrjdtLltBALgcO3Fv2ErExMRHFkkJuTm+rD7F5dduXOq/m7wcyo//7mPqsrMrepgMJhVDzvQLN/Tp0+zatUqurq63nL2ptvtprKyksnJyUT38+3bt/Pggw/ywAMP8Jvf/CZt9hdMx+MyRX5+PuPzJAqlv2c7Ocszd99fd42effvC+LftYLN3F243dNZsxdayXxMumAcGgwlJSp+8YDKZzlzvmLMAq9VaVVVVlZbwFlq0iILCBebTbM5tpsrgYa3JRaluBKsQxCxmltEoi3pEeXGdua3WTUSj3Uwc/hRdO7dyxJ854aiqSigUyrrFz+nTp1m+fDnDw8NvOXvT5/MhiiI2m42xsWmXbSbjLtsxp9PpspozdEoMRc3cDlIjMtYc7XkFlFxWGrqIqQb6pdK5pS0zEJlQ0VvTX08kxyAIwhnRgjurhJebm5uXbmBlO4mragSzXg9WK7/6FezY5k8QI6CZbCkySywWP7aJhbUCZ0MQtE7sbjfY8C+6/M7j8aS1atKht7eX8vJyHA7HWy5ZiMfsamtrWbVqFSdOnEj6/Fvf+haf/vSnF8z+KiwsTBq4i4Ver8+o2WwcwaARXYrkispK7X+7dotE122k1LWfmhrYX7wDnnoKMyAImblWAAwGM7Kc/jij0Zipt+ecoqKiYuVCbqy3gjUGF8sNveSJk+QJ2v+W6vqR0bFUP3dinswvw+pLvepPB6m0gOeav8mHCt/DrolXFu3OHB8fX7Rq02z4/X6i0ShVVVVvuWQhHrNrampi1apVdHd3zxkDixl3er0eRVGyGvuCICyqbdBczL1WjhBmuaGHbqmSrTmvcFoqo1uqpFLfj0+xEVKzM8IiEyr6vPSEZxQKdcAZeanPNuGldUbM7MWVCVQ1jGkRbrWDB8G2+xHYtIl77oFtq7swFxdzy30N3Jimfd5cRLMqTs12pRkKhfD7/cSt47dSpzc7QcVisZCfn8/AwACqqvKlL32Ja665hgsuuCDRsXy2/FAcgiC8pcL4TO7dbtcyMY/k3M5OnuR6ruPVkyexOR1p6/AAzEYjYoaWCMQtvAUJzyQIQoZOvXMHs9lcd1YIz6CD2MKLllXGDiJ2LQNBNscIW/PI8fuJ2EOI0uKnm1h54aK6ec/G2NhYVlnfqqomlQ69lTq92QkqgiCwYsWKRK/ITMddXl5eVqU9eXl5TGSwwB8efoZPvvo/iKd7UU6/APkNcMl7iHz8GBeZ38j4+otBbFJdUG3FQJHI/wbCy8nJSetaCYfDpKsXmg+KEsacQSA5cZyqopuadO+8Q4ENG2hz7mD7di273W5nSofszCEbgujq6mK2Ok02pDdfNubSpUvp7+/nBz/4AXv27OGxxx7jF7/4Beeffz633347R48e5dJLL517QsBsNmclN2axWAiH05NJbS0MkVyAng2/aklQma9sDQbzgoRXXl6uB96xiitGo7E0P/8sdDKyGlEm0hczp0LUko9pUpt0ZaPMiG8pAIaAib/Pf5gT4RVE6xR09mRfs5Kfm1lfxSlMTk5m1d9uYGCAioqKpASVbEhvvmzMvLw8VFUlHA7zwx/+MKNxl21IwGaz4V8ghPPdIzdjFgzYKCcnRysdMsg+YkrmZSvZQFVYkIVEtYAlS5ackdKEs5q0YrFY0j61bAkv4dJcQE3gTODHP36Ez312HW0ukYZKvyZptQiXZiwWy6qDsiRJyLKc0qLMRIYsXemBIAgUFRXx8Y9/nNtvvz2j+4sPvnSdtFMhTpSZHncuhWeMRjOynH5iczgccfdKdoKHZxm5ubm56d4LRVGyy4q2mlADC9dNzUbEko95sgMWMcz1+mLCYRcMerEQ4qqVfyKoTDI4+BTw40VdL9sOJENDQymTyzKRIVuo9KC6upre3l5uu+02brvttkXfW7zf3WJ7F8ZhsVgS1mMmMMpjRGUHGfu0VHXeWry3Ah2F5OfnZ15LlgJn1cIzLOCvXChVfT6oahRDNoM2i4GQm0tWblefz0c2K+3h4WHSJfosxtJbTJ2dw+HIKhhut9sTLUgygdlszioeMjlpRHeOepeJon5ePU2H1Y/XC/lGowApE0DfETCZTGlf1lgsltX7LOQZsyK8mDEXYzi48I5nALIsZ0Xm8XnorSiyLKbOLjc3NyvviE6nyyoGbjKZshpzBnmMmJy5hacLRiA3m2Kg1BiSCzEJUcqsZvR6fVoxhcXijBKeIAgfEAThXwVBsAiCIOr1+rQMk3K1GQiA06kppDQ3Q2Ulzc2wsdIDLhfNzWA0gvD666RNuTtDKCgQs7JCsw2e+3y+lHqbyfc0P+kttqg8HgzPFEajcUGdvlQwmUwLujRTwe83Y1jgeSRh3Tp45hkMBk1VBUmisnKq2sVsxuY6RDgM/soGcLmwWqHTq5nsS/ImNKfBunUYO9rQ66fa5xUXJ/roTVntizLdZ46HDL5yRph9DUEQ0o7pVGPuQssR1pvbWKrvxyoGuTznEO/OOcBG02HWGduo0buxmqI0KMepN3SRJyw+nqQinPEV/3yYmJjIqnxnMWMuHellUlSebQJXVjXHUz03M4VB9hGTF597UCSOIas6jJEQpRYfRiGKiSgrDF1YxDCRqYrYiGpEFBRsugA2MYBJjKJDIaoY0KFgEqLIU5Tkl60o8T562n8XtUpbaMzNOzgEQagVBOHngiA8NvX3VwRB+IUgCE8IglApCEKuIAgPC4LwoCAI8T5h64EngUvQDLy0v1L2DVBnHbNnD2zbxu7dcMuNfggEuH+3Q1NZ2bMH/watsFzo6IBNm9i3D00v025n924tdrdhg7aK/913vsMdM05tswlZWaGxWCyr4xabyJOK9DJVUIHsM2UzhclkSpRDpIMkAcXFGIliNsPQkIAw9TwuzMvjVH8/Pp8mIg1w4IC2f6lr/ywVlbMzzU4RXsofKMWYmDkeFsQZGHOIC5g42Y45VRQQZiyQ7KKfpfp+SnXexP+MQoxo0UQiOUXKiSKgosp6pJwoRr+ZlmgDBYZRjoZWU6IfZWVOO6zMJzd3A/F1RLZvZLZjbrH9OFORXqYKKtnG47Ilr8UgqIYQ0VNq3cQLw9+hdE8hiixrIt6WCig0kVNymjxxEkUVyRFCRFQjQdWMrIrI8cJMRUEVz/y4UxQRSK0jkemYm3dwqKraqarqp2ZsWq2q6t8Avwc2ADuAx1RV/VsgLu7ZArwPeAnQG43puzVmT3jnLrCj129KWhEv1puXdawkA8wkvXhXgkzIbrEkdCYgimJWFqUsiwhZxEKzR/r30aDXYzKZ5ptVZ4+JFqbHw4I4A2NuQcLL+r3UiUmEd7YQCrWCxcjhsJMKfYReKZdLqu5b1LHZujRnF+Knw0zSm5iYyFhBJScnJyu3piiK584yVBXULJx/gqLA2ZjzZB3Mb+FlNOYymUleEARhLxpJXgfcChyN3xKAqqqJJuGCINjC4XBea2vrvCccHx9nZGQkeVXm98OxY4TDAq2KH06exGw20dobgPx8wuFWVHWEVrMZjh0jP1+gVRCgt5eyslFaT0YgP598WhkehtamJiInW9mwAbx5ebSGw7znPa205udDOExZWSvhMCgKtJ6MoP/kJzkOfJLlOCjm6hIPvb1GQuERWkMRRgIm0nylBLxeb0atj+IYGRkh3TOb71oTExMUFBRkdGx/fz+BQCDjVXFvb2/G30tRFE6fPr3goA0EYHREBUVBRsd1141QHvwwn+wz0mp04ItGGeluxe/XQrLhMLQOj0AohNXaSqvHBzodgtCDxwNBnQ6fp5VgEFqjWsZaUGrl5EkwBYOMDLei00EwNgKxGMHggPYOBQKMoF1nVAyCojASGuXF115DUZQm4KkUt1/JjDExczxkiYzGHIAgCBXp3oFoNEooFErSNy29qhCjkIcg5JGv5mAgRlAsJCbECAgSsioSLStjpNRINLYcWRWRpqYOGZGgEEBFQEKP3hJAUAQEVUQ2SoyVrODYZhOxvDCCIiAtq6XVYGVEKqJVtxxVVJmMxjC1T6DXuwgGi1GkD2Kr0dN4LSxTJBRY1Hs9OTmJKIoZZ3dmM+ZisRhDQ0NUV1dz7NixRR83OTlJKBTKuJ41LnWWaSJcT0/Pgvtc/F4ZGT1RCpgIb8ZVGWFwcjVSt4wqmUH4MIPr9Uj1y8hXbEzoDFTE7Bh0yxgXi1ERUFQBpboIYTyE5IsRIIaEnjzFhg4ZE3rMqgERBVFQUFUBi2pGUvUUna9HLxQiqTpiqh5J1VGlRsgRDOgFkVJZ4Y8PdFw2z+1nNOYyeXrXqaq6VRCES4BPoTXkq0Rj1FS0LplMponGxkb7fCfs6emhoKAgWdcvGITVqxkaFmm0BmHFCt44ZqOxygNvvMFQRSOKcpTGkV5YvZr9L4o0Wtqhqoo/7nXQuMIPr77Kfho57zxoOPLv+P/ui3z723B94QEaKyp4+ulG/mPZfqio4I+DjSxbpsmKNa7wc+yXv2QV8Euuo5oneabpX/mHL+QwOlZBQ6Vf64XXsPDDOnbsGKtWrcp4xXn06FEaGxsXvX93dzdWqxWv14uqqjQ2Ni6ajAwGA8uWLcuY8OLXyQTxZImFBH09HnCUKyBJRDHy+c/38b7hv+OX7fX8Im8fpyYmyLvnF3R3a2sjsxkaS9rA6+Xl3kYaHZ3g8XBSrMbhaKTW00anoxG3GxrNWvLEaLiRFSvANjlKW3Gj1vQ3cARqahgYM9G4okoTMqABux0c+iGQJI54HVyyfj2qqrbMc/sLjYlMkemYQ1XV/sbGxnl1tSYnJxkcHEySzXrq2T1YxSA5+kHGpRKsYpByvRurOEmOECKqGomddx6FXW3UBE4RUQ2EVC1EElEN1OjdyOgIqhZySk4jSiKipCNqC9G+9kOs3r+H4NIRRElksPN6Gq0vcDS0mkbTcRS9zOBFAWwrP4bF4mR4eA/y6KO80X0prX/S0S/pkYiy83sLv2+Dg4MIgkBpaWkGj5hE14PFjpu4G7O6uhpZllm1atWi63S9Xi/RaDRjfV1RFKmvr89I1zOOhcbqPz3VQ5gQfsboG9nPf1w2inphkMqaKpSQGwZ/R8HrFgbc1zIeq2K5qZX+YC5WYzf5+p5EiyhxbTmqx49/SMAqTBJUzUxI1RiFGGHFhF+xohckDIKEoooMyYWEFDNGIcroc6MEFTNB1cykksOQZKJcP4FJiDKgmqmrq9s/z+1nNObSxfCKBEF4ADhPEIQvA8em/v5H4AVgF/ABQRB+jOYznQ0pEomk9T1m75c+s37iPXumusxYrXxYlrlnavvXL7+cp6Lv5bHHZ8Qu7Is7Z7aZVZlgZszObDZnXKcXjUazytjLBoqiZDVYdToV9Sw/x0wgyTKSJM2XtbPQmEiLMzDmUBbwG2c75gRFza4oMg2ORLTFj2VXGH/H15EkL0VFNyOsfB/rV+/h+Yk/UKkPMUg795z3XwueL1u3X05OzqI7esyM2en1+ozr9AKBQFZ1gtm6orP5rRVRh0Dmz1EVBc1VdoYh6hSAMzLm0sXwRlRV/ayqqstVVf2Oqqp3TP39AVVVD6uqOqmq6idVVf2cqqr/k+IUUiwWW5DwFhvX8eCALVvYyl4GB1X822+Ce+7BaoVDlTvg4EHuvNnD3ffZ4MYbuYX72b0b2u54BNsdt7B9OxwyXgIPPURbq8JNB28Bt5s7nbtIoaKVgNHnQ6/PPLU32wLtxWYzpkpQybQ4PZsYaraB80gksqhVcHExMDAAej033gifzfkMn3v+eQDumphg+U9+gtdL4n9b9fuhu5ufujbzdzdH4aGH2KW/gbExlVr3frBa520JlA2mmnymHHyLGBNpcQbG3BknPFnVYRFCFDFCVNRW4EU6HzpkgqqZkGphQrViME9iF/3ovFopjqKXMY3mgioQKfNhdRegGGW2mA/yy/GPsGLpq5k8mkUh2zG32FKbVAkqmRanZ5tJmn2+w8J4rv296DFSxko8l55i6B8K0RWsQBStEOwDbxi8hRiFGDtyn6FIHGO16SRrDCdYqu9npaGLi8xvYNMHKRDGWWM4QYU+c9GAeaF1T0+ZbJDpmDtrWRWqqiqyLKcdfDqdLjXh7dvHhg2wN7ARmpu56UaF3btnnvvsZSzNhmlsDL0+83T6bLOxCgsLFywWTZeNuVjSC4VCWculZVo8DtmLDIgFBZizqtWcnhzcbti8KQrd3ewNbKSyEmx7djHk3Kw1hJ0ixr++mUdBAbBnD21ofmuHfggGBjjiddDUqBDTYi/vHJNzFhYz5mZbQXe8+QX0goSJKGuNxzEKUXyKDf2Mr6kPhZEtmb8vgqqipK+UOGOwWq1Z9V602WwLEl66bMzFkp6qqlnF9bNFtkk8MSUPgyGLmkuLBf3UgiOg5GISYqwztlGv76Raf5qVxi4aje0s1fdTqe+n2uBhmdFNiX6U9aaj1Bu7WKIfolzvZbWpA4dhiKWGAWqUEyjzFchmiLP6Jkaj0bRLnmwLIxXFSCz21pTMFwtdJIIoagPfjw2H1U9b28LHLUbWJxWKiorSEt5iSg8WQ3p9fX0ZKzdA9gX14XA4K4LFYsGQhStUEDJfEKnqwi7ekfFxmYwbFp07RBYYUAaDIas6SsPkJLI1c11YY9hP1Jx9RyUZkdHAG/TEFo55ZUsker0+0foqFRZTerDY4vRsanOzDT1kkn2adD05D4Mh83dEMpkRI2c+6ztCEEmSzoiy0VklvFAolLZC1Ww2Z1WMrChmIpHMj1sI/oCIPyDy9eefZydPIrxg5V7g5ZfD2O2kdX3OxrzW6wKId1BOZR1mUmeXjvRkWSYUCrGAtndKZFtQn61leC6hKGFMpvQThHtwUAIyl6g5RwgEAhPp3rusi5EnJ5Gtmf9+ppCfiCU94fUe3QJ/fp4Rz3cRRTOFlf+MUFnCHaXLKRAzWzRmG8dbunQpvb29c7ZnUme3EOmd60VmtmMupuRhzMLCg7NT/TpJgMHBwRML77kwzirhTS7gX8hWfUOWzSxgPKaEouiJ/exncPPNPHKfnx27b4JAgEe2PcLBg+l1o7NvZZT5cTU1NZw6dSrp2GyKyucjvfb2dpYtW5bxfUH2HS6i0QU6Tvj9dHaC0TdEtNjBnV8Ruf7RbLszSChK5lahqkYwGtMTnnd0VAIy75F0jiBJ0uls9BMXgn4yiJybuYVnCo0TystDyoliGs1BcQyxzthG/+lGVi55jQMTF6c8zqz3oi/J3COQrWfFbrcTCASSYoCZFpXD/KQ3MDCA3W7PKnHrrag2LUSUV9f/matW/olB2rkq9ygjHxwnpuRmZeFlA0EngJR+jgwxqY6NjS1cX7EIvK2El63MjizPb+HZ7WiJK8CdN3u47z7ggx/kpoO3UFlp4Z5/y5xgh4ZMRKPJwXCPZ+HjFhMbSAW9Xk91dXWiPUo2ZBfHbNIbHR3FYDAkl4IsEmc76zQVnuPTCGVv8AxP8vXxcYa2/13is/kXy2EkKbsuHAtZeDFZDqvnKoCcBYLBYEc2GqkLQZRlVF3q6WJEttMZqEM1RdEJCvrxXBSjjKAI5A0ECedm3q4n1ziAsWLaOompej69eteC2ZqLiYHPB6fTyYkTJ1BVNSuyi2M26UWjUQYGBrLqwg5aI+lsXJPBYDCr9mSqxYEQ8yG9+jUs9+3hfx64i6+PfgG76KctdkY0nBPQWfUwmd54CSgTMrCIGXdhnFXCC4fDY9lkTS2Em28y8tprYTw338lNrjtxuaYyNXfvZvv2+Y/T6fLJzc08kWTzqf/Hrbf6CAS0OF6Dc3GuSofDgWcxzJgCRUVFqKrK4cOHgezILo446b3xxhv09PQk1WBlgsHBwbTC1vMhEolkJfkkFBfj9c5/3LU1bWC38/vAtfzd9iH47W/Zte4byHKE61f1ZXw9RQkvaOFFotFzo4ScJfr6+k6cPn16wRc0U86OqAZ0yLweWUO/VMoSw4CWlYnMiDK/DmXu+Aih3Mzq4gCKVv0tq/7OwDfW/xM3Fl3Js/4nFnVcbm4uwWAwK8+K0WhkyZIltLS00NvbmxXZxREnvaNHj3L48GHq6+uzOlc89p3tfZzpBJluqZL/nng/OUIIn2KjW6rEp9h4M9qAWyrP+Hy6PD0sIEo+IY9LnKHuJGeV8GKxWFe2q01b8142bIBdvq2wbx+3fFbh/n0N4HRieOklRDFzH7Mo2rBY0rs7XC44ZN3KNa+q7ORJduLlq51Oqqp8GV/PYDCgKErWlpFeryccDp+RWjmdTkcsFntLTVyHh4cT3ZkzwdjY2ILivKmgW76cU6cyjzMKQhCLTgfFxewKX6uVKxw8yP7yG2hsnMrKTNF3TEtaSU/M4XA4806c5xCxWMzT09OT9iWfTwA8qJrxyKXU6N0EVTODchEyOiZU65ReYhYyVaioCxynQ2b0yWvI/dYjDL6yHlWVyM+/EkXN7j3NtqMHaGMuEomckTEXj5e+FZlBt9udVdwvG1UWAIlcdGLq5J10kK0WmIzSLVXyanQdL0fOp1uqpC22gpfC62mOrKEztnTOcTqrHjWQ3sKTBCmiquoZyVI8q4Tn9XrbMya8jRsX3CX71Y4OUUxe/O6tvAk2bOCRbY8QCCRE8ZMQDsewWFL4tBeRlLJkyRLcmWS7TKG7uxtBELjwwguRZZmjR49mlV0X7+R8+vRpLrjgAqqrq7PqnB4IBMjJycnq2Xu9XoqKiubfwe+n02ujtib5eYq1tXR1Ze6SEQQ/eQtMWEOUMjAAm+1HYN062sK1lJSo5J94jTbnjpTHKIrCZCiUeYDo3KK/u7s749j5Z5u/tuCJhVgM1Zh5DEpUJGTd9OTbWPIaDt0gr/dt4fwVzzChpl7UGPUSEXNyDOq0VMpd6+5Pe71sx1zcjXnhhRdSXl7Om2++mVHH8JkYHBykra2NxsZG1q1bl1XndEVRsm5oOzQ0lFZx5sL6B/noqj8RJdlhMamrJteSuRcsVlaIOrjwWvBIxElHtJrDkVW8GmpCsZo5PVbAwfB5KQkRQBWVM+YmPKuENzw83OV2u9MGzXQ63bzpwOmgqosvWo9j6xaFiy9S2eh6GO65h1237uVb31rcsYODVozGCdxuLZvTUa7gGVj48RUWFjI2NpYRwcyO2VVVVVFXV0dbWxunTp1aFPHFtSvffPNNCgsLWbVqFTqdLqvO6aDJwFVXVy96/zjiK9xFBeu9XqL2UmpqwPQdgedyGpmc/HzG1ywuVtC/RVeO2QwNxZqkWJu+iaZGhZGREXoHBprf0onPPkZOnz6ddma1WCxZFWibh7xQlnnst7BnFO9yG7JRJmcgn6htcXF0u92Ht3wtBkHiS6WreNb/BCFl4ViWXq/HYDBk9B1nx+wKCwtpamrC7XbT1ta2qPq+eIz88OHDhMNh1q5di8ViyapzOoDH46GiomLR+8/E6OgohYWLi5320cKr5b/lIz/8OcH6T5JbmHlGaLSsCAYyXwvq8/TIE9r8Pybb2Dt5AccjtfgVKweC9Tw3uRbK1PaMTzwPznZFqOfUqVNpn0K2WVWSlMeCi+377uP+bbu4++BWPF+5H26+GavVSnFxJqu23wFXs2fPV9m5U4sLuVxAILDozgkVFRWLXnHOl6BisVhYu3YtJSUltLe3c+TIEVwuF/39/YyOjhIOhxkaGqKjo4MjR47Q2tqKwWDgvPPOm/PiZ0p6ExMT6HS6s9p6JRUEAdQVLjq4hqXHVI5021h4bTT1fdxuhoobNOUWlwucTiQJSu1Rjc1mH6UuXBDs8XiYnJw8mdWXOUdQVVVZKFksW1EE06AXtTw94ammKBhiRAcriFkjSDlR7MN9+O3JWcGi3ceIUoAhYGKD/VCSlScIemIxNzW1f8/ou6/kKyu+AUBDzkcWfa81NTV0dHQsat/5ElT0ej2rVq2itraW06dPc+TIEY4dO4bb7U6MOa/XS3d3N0ePHuXIkSNMTEzQ2NhIdXV10rkyJT1ZlrMOIcSL27PxxkSjBgz0w5HfY/utwKOHvsCwtDBxKmYThOYOTlkVCSg55IqpQ9+iQUBNk6WpqioTExOZqwnMg7NNeD1Hjx5Ny0rZ+tujUTvB4PSgbW6GXeW34Di4iztv9XO37xa48cY5x5WWlFBbuzjZm2UPq+xEszCGhgJcV/FD7rln1k6LsDLLysoYGxtbsARjMdmYNpuN1atX09TURG1tLXq9nlAoRCwWQ1EUHA4Ha9asoampidLS0nlf+sWSnqqqnDx5krq6ugW/ZyoMDAxklehiWb6crq6ROdtdLi0T91rrfnA62dXRNKsP8CQGw8Jxv+5uKJ8RY49GA+TkpJd8OnzkiNrV1fXyor7A24jReK+oeZBt93nD+ASqfTpz0qfY0AkyRiGGT7HRGahL9MKbCevYEMHcSiRrBNkooQ+mXjg1H3sfxkfdjB7+MKCFLkzmcoaukRiaMek2h1bxydW7096r2WzGZrMxODiYdr/FZGOazWZWrlxJU1MT9fX1iRY/sViMaDRKYWEhjY2NrF27lurq6nm9GZmQ3smTJ1m+fHlWpDU0NLRoogziw0EjoQtcKPY1CIIupWTqbfkPcyiyFlkVuSrnRYxC5uEVHQoKIiHVTEzVYxWD6IT086fOMkYwGFyE1MficFYJT1VVeXh4eDjdPrm5uVnJAX362glOnJig7ca7ucl99/zNz/fsYdMmtPKEqesVFKS4ntXKTTySUncxTnqhnh7y88exWtG6JlT6aXOJiyI9p9OJy+Wal1yyKT0wGo2UlJSwZMkS8vLyKC8vzyjOthjS6+zspLq6OqsAuCzLxGKxBevvPIG5VoNtwwaam/u46+RJln/uc0jSlM5mCtS690NrK/d6b+JCZy/1p1/P+F4jER95ebNcObMu+sYbb0SYbkXyjsXY2Fhntkkb6SAA+eIER2P1dMaqqNHP77WQ0GH0m1FFLWVFlGPIurlE9+zp9yFZI2wofJUR2Z7YHgy2IAhmyspgxKz18rzQ3EenpFKom8ArLex2q6qqor+/f94QQDalB3q9nsLCwsSYczgc2Gy2t1ynNxOjo6Po9fqsSodAix+mi9811v8bDmH5nO2BUCk2WxgC3eCeRO5bikdKvViVVRG76GeloYt+0xIiWdhgZruA5IshIxJT9RgEiShBrDOsQYO9Tzl16tQzmZ89Nc66yN3IyMjpdKuZRb0oGzZAczO3bPdw/24HbNiAeOgQMA/R7N7Ntm1w9+6GlO0NwmEjUZ0O7ruPvbfuYuPNDXOKuuLJK/84Y9vYX/9K0+Q/sHr19K+7WG+d0WikrKwspWvzrdTZvVWkI72JiQmi0Wj6hJM0WGwMwueDWusQUXspTqe2TZ+fz/j4XIu4pQUc4c55zzU+OUl+Tg577TuQJNgc+BOd1ib2tqZPjY9E/OTmpp5g4m7UE+3traqqnnmJnzMMj8fz7BtvvJF2FWYwGNI2/51Qcqey7OrIEUIEVQsjcgFiTEI1zLVgoqpGZhHJgirOXTwVDh5ntGQVUk4UfdBIzBrhqiV/mLPf0y/dDi9P96az28uR6z/DZ+/+OqX6UdYZJzksn0r31RIQBIH6+npOnJgr0vFW6uzeKtKRnizLdHd3Z106FK/ZW0xWaI8yTCnL+e01mqt4PLiE/Py5cc/NlteYUHMJKKkTyKTyAsQBH3lCALdUQUgxY1+EQo7NIRLpTz+cqta6PeFwOPMV7Dw464Q3Ojr6wtGj6RfFoigmJ65s3Qpbt2Jr3suO7Qq79qSeiFRVjyxrq7eNzfczMMC8GXYJfOUrfPlLJXzG/XfJPi0Aq5VbtrTx0EPJmx3ATp7ka8ErUGWZ8JHOudmci7DyKioq8Pl8BIPTK5i3k+ziSEV6sixz8uRJVq5cmdU5VVVlZGSE4vnMMpjXurs1VsIzIyWov5vrkp6J/QdE1q1D809OISbLKRNWiotha/ERCIfZG9iYINbp+02fOq4oCsPDw+n9Y+8QjIyMvLJ///60fvtUoYQPHfpPJlQrbbEVLNWnzq62uPtRqjT34oSSy0pDF7KafhoRFIElRz2MFTuJ2ufGcuTBUiL2IG9EVie2hQ/fhtf7M3JzN1FYaGS89MN8MPdPic8LdRN8ouGPaa8LWuw7Ly+PmdnibyfZxTEf6Z04cYK6urqsyxgWk1xWxflztkVv2oZsKEMY/lOKI6ZRphtBJ8iYhFiC1KKVJYin54oPBZQchuQibLoAVjFIvi45dyLPIRLpT+/a7e7uHlFV9YwpG511wuvt7f3rSy+9lDamkJ+fn1XiyrZ1OlpbB+GOO9Lut3XPnWzYAHc7HwG3m4KCAiorp57hr37Fnj2w45655RCVlfDa8yp/+/73J7aNPPMMnVMThSegiUkvJlszjlWrVuFyuQiHw+8IsotjJunJskxraysrVqzISgoJtDhCcXHxoiaUBqcCdjvf/a72d/4FF/Daa3385sMf5uuXX070v+5nIY+qf8NWKitDmBeZjGHzdlLq2o+nuInDXVaK9H5s3Ufm3b+9vZ2JiYmDizr524++o0ePpp0k8vPzs4qdx7onMC/LpT2WXprOLvoJxqzoonoi9hA6RUYVdagIyOYYJl8OMWuEUl2yKkpQNdPz+/fDy9raQlEC1NRsZiy2MZ6OxFZjEQflNwG4qv7pBe+5qqqK0dFRRkZG3hFkF8ds0jt16hT5+flZuzLD4TCyLC9KlUVSBbx0szlXSzoOxexYzFPW1nNPYXq0iT3hSyjTp1et6ZdKCRmtKOlbnyZgEqKEVSOioJBrjjEamr/kQlVVFgqJZYpz0bfD9eqrry5IeAsOPqcTDh5kyxZ4ZLcN7HYKrFZ0uhSntlrZ6N7Ftm1wf+Xdcz4WvvpV1qzR8eM1/zX32OZm7t+2KxHzA7h/2y7iWu3RoSG+93AhH/pQCJ9vmvTaXIt7lPGmkYcOHUKSpHcE2cWhLQQq2b9/P1VVVVn17QLtRT19+jRLliyZf6ehoZQq+s92CbQtexfd//GeOZ898AD84/ZOTcU7heUoioOUGwzgdOLzgcN9CDZsmGkApkQsFiDPbIbycvaHN9JQF6XW7GFIP63Q/1rz67S3t/8l/ZneGVBVVR0ZGUlr4VkslkXp2AZVC31SBTmC5uoSZAV0OlJNb32yg9cjawiHbIgpkhHKTvYwUtaAbE6OqbVEG5D7lnLHhf9Mc0jrzm1rK0Y69g3C4Q5EUaSgIMjo3U7qjJrA80o2MyYvjhgEQaChoYHOzk46OjreEWQXR5z0Xn1V6w+YdswsgFOnTrF8+dzYXByCIHBt/dxXOLqjhFH5Ygpz5rp+t5gPssZ4gr2hiynUzV1MRgvzEUaC6JCZUK1EVAMyuoSLeyHoBAVFFemIVnE4UoHI9Mo2Knnx+/2taQ7PGGed8BaTuGK1WgmkqvgG2LcPp1NLEpkNURCA6Xq8W6yPsG8f+LfNdWvuaL4Tp3PKygOi0aXk5GjxNFvAw677PGy8ZwfMKvKczcM7uY5lj13C1VefYvXq+5M+X0zbINBiWw6HA7/fn1U91NmCoij09fWxfPly+vr6shbMjqtDLDSpeL3gKI7iD4jsPaANkHB1Nd3dowjAOoDdu0mVXb53oIG6Oqg98AiaXxNE0Y9tHou0qVyb//e32OYkOIXDoxTMoyo/5DNSXg77/rqvG5jfBHyHYXR0tGsxpQfz/cYeuQyHLjVnGgZGUMttjCgFtMeWsVTfj0UMJ0gxDosYJjJhB0A2S5T1HGOkbF3ic5PPwmrnX5LiPV8q+Akt0QZOdV2U2KYoAVau/Dg+LmL77d8lpE5bMA794rIFfT4fRqMRs9nMyMjc7N+3E263myVLluDz+bLKngWYnJxEp9MtqjuCgkQIPz8u7Nb+VnVIkh6DPgonDlHwcjEt0QaG5OTYfbE4hlGIMiIXJBKWJpdXIZxM/Z4ElBwMSOQIYXSzWkiai3RERlPXGA1JhXRGK7ntXmu0s7Pzzwt+oQxwTjozer3eRSWuzCkk37o1/YldLs4/v4jdfxwjlYim06nxV9uNc608RbHR1eXnlvLH57pEAwF23bgr6TzLn9ekxgC+Mr6ZdSM7qa7WViN+tIxNWFhUOu7GrKurY82aNbhcLhbIIj8nCIVCtLS0sGzZMqqqqrIqTgetm8LIyEj6tGhFIWpPTiL54Ach9q8C39vyKf7617lJCc3N8NnPQipzrdPaxJ49EvWGHoTFyri53XjqtAaweWoftvkWXFPo7+/3qqr6zlmdLICBgYHnFkpcSVWP9zevfTPtee2in8KuDgx1BZyKzY0VyehoiTYwKefMsfJERcEYniRksxKzhjEEponraLQe4cRyljqmF/TmxyYYf+06IpFudDoLy+suZKjmJgDK9GNMMkavpC5YohB3YzY1NdHY2Mjw8DC9vb3nrIn0fJBlmba2NsxmM8uXL8+qOD2Ojo6OtNYdwFUrk+NzFy99jo89epKJsq9TYPfN2X+L+SA5Qpingqnn4Qk1lzFbGcL44oZFULHgV6yEFDP5K01MtKc/bt++fUPhcPiMCj2cE8IbGRl5fqHBV1RUtKiJv4E2nE7Yy1bw+SgsLEEQklcYv/qVZuXZ3KlNrrYb7+Ym151cdFExhYXTPupDuz3cP7AjkbFptWr/nGn0xUlv+A9/4H3vW0JT0x5crmTSmw+zY3YGg4G1a9cyMjKCy+V6W7oRqKpKb28vHR0dNDY2JuIH2SqynDhxghUrVizKZeQojuIPG2meeqV1U/35/nnycRiYRytWr2evtBmnc6obeQLDlAgCNDbyJ1ctO4r3pywwnw1FkdCJIsKyZex3lWqd0Wdl0kajUYaGht6xPfBSYXh4+MU9e/akdWuWlZUtWKcGMCQX0x6rRSfITCi56INhlJzkZ1ssaiFDifQx37qDhzldfVnib7PXSlX9y0lW3hrDCTqkatSjWtd536FrCIVaKSy0EpHy+dLn/knrlq1f+L2cHbMTBIFVq1ZhMBg4fPjw2+ZhiSuyVFZWJtyYb0WRpaioaFH6nwoSElHuLNyd2ObzmbHRDI//Asu+1NN0pX4AoxBNclXKZhNCKIZFDDMkFzMi2xeVnQlgLtQRGlURUWgJO5lQ5lqmHR0dI6qqnlFr4JwQXl9f3+O//e1v09o+paWlDA2lHp8NgUMMDEy5KmdNhHq9AZA4rVbAtm3cYn0k9QWsVna47mbbNti9G/D50OsdiKJHOyZF4stGa9vMw7ns+ekB9nXpGpY8fTvve1+MCy98Pql+L5WVN1+CiiiKrFixAofDweHDhxkbO3et1kKhEIcPH8ZoNLJmzZo5SiqZkp7X68VisaRvLBuNEp1VnPzBD8LtYwLN227j+eenhUxMp1T2t9g4cGCecz3zDJ2X3sTu3SAIXoqjUdq805Zj1KmVI2wtb0stkgqEw15KZmsVms1J8btXXtmP2+3+zfxf6p0HVVXdzc3NacdcugbMUdWARy7FRJSgOnfhII5PototnIpV41NsGIW5JQ4xRa+5wAaXI0gisjmGJTBOzJRHNEcgVJo8Oe4JX0J0sIILi7Ta/tZoPaavTf8ORmMNqzd+BE/dJ/jU33yRaoP29QalXD69ehezkS5BpaKigoaGBjo6Ot6S+z5TyLKMy+ViZGSEdevWzUlQyZT0IpEIw8PDaWN/m+t/wwX1P0Zm2oV48dLnGPvOewmLF2G1Solic3NbNYf6rkgsYGZDh8waoxbrC9TVIHbMXTDpkPErVkxilBxx7vult4AUSibWGGEERAxoNbuKEOL06dNnpOnrTJwTwlNVdfjIkSNptbUMBkPqAtEUbs2NGxRtEe50YtuzizVrinn11dRhwptuVBgYgL2b7kza3nbr/Vzx/Fe4+OI88vOnFxE+H7SVb00U2KVKAI1beQebOrhS/xDLlmmWWZtbS2CBZNJbrILKunXr8Hq9HDt2LKti/MUiFovR0dFBR0cHDQ0NlM8uz5iBxZJeLBajr68vbWPZmesZI1EOtUwTrGg2U15u49Pu/+br3/8+QGIREQjATc5DOFpSp0zX1MRYqe9GnOqAMF8lxF5vE5vXJWdjhkJeihfo/P7nP/+6a3Bw8Mm0O70D0d/f37JQklsqXc1Ubs0JZfoZeeQyKlxHMDalftDdUiV/Cm1JsgZESUSUdCh6heWHWnDXXp74TB80sqz6NfIEbVESsQe5vuSPeONth3KX4jv2d0Sj3eTkVFPd+H6GVv8/ANYaJ4gQwCPlJZHeYrIx4ws9vV5PS0vLWY3tKYqC2+3myJEjOBwOVqxYMW/pwWJJT1VVXC5X2tZDm+t/wxhu7FRiwIxdFPikbVosaHAwhwLhKXhyF5buHIKqhTejDVToBvEpNvqk1HW0QdXMUPkyTANeour8lqVJiFCo8xFTDYSn3oeilXp87eljr5/4ZiDU1dX1i7Q7ZYFzQngAQ0NDr/T0pG9aa7Va51UndzqnJ0BcLs2tOaC5PIqLKxCEacvPatWsOI+9AVwuysvh4FRC+cY9yVaewVBDZWUP6pe+BHfcwa23osmH+XwwMMDe+6br8qxWuOZVbdLfyZM88cT1DO3axXvf6+U//1N7MeOk5/NppJdJ6UHc2qurq0sMjqGhoTO2+vT7/bS1tXHixAnKyspSWnWpsBDpqarKsWPHcDqdaV2ZpfYoUYyzPYbcPiZQct11PPnkscS2zvfehtWq/ebr1qG5GTds4JHuzWy1HsJx4PeJfQWhj8pYjDZvKd3dsDG8P1kRIEVD0LbizaiqSpHgRZemAFtVVU6cONGnquo7ui1QKrS3tz+4e/futD6mdG7NoGqZSkbRVulDcjEyOvKEAPrJIGqOCXXG750jhPEpNoKqmahqxCNr1napzosn4kAX1iObY+R7+wnnFBGxmJHN01JjF5oO82pkLXLfUiJT9XpuqYLiL2pxxpGhnyJJXioq6pG8Ch/+518wItuTSO/76+/JuPSgoqKCpqYmAoEALS0t9PX1ZSVonwrhcJiOjg6OHj2K0WhMadWlwmJIr7Ozk/Ly8rRlCGO4KceJGc2LcZ31Bd5zwQOMfe0C/IFC8vIkRFFbsCvHnLRG67ncrE2WQVVzM16d81fsop88YXoRHikqQPAGEIARuYCgOl1sLqMjpurRzRIGmVRyCCpmTEssnO5NH254/PHH3ePj4y+k3SkLnDPCa2tre/D3v/992iVUeXk5A/PEbhzuQ1oD1g1bYWAgycrTVkoGemKFsH07N1m1lZ7LBQwM0OBU2LRprpUHcEVeM4WFxfzmcDFYrdia9+J0wk27dyRSNF0u2LNH29/tniY9AFWSKH34cxQXP85Xvzr9AzdU+hke7mZ8PPM6O5PJRH19PatXr0aSpIRobV9fH36/f1EEqKoqwWAQj8fD8ePHOXz4MF6vl7q6OhobGzMuOUhHeu3t7VRVVc2bIebxQLzM0uuF2krNutu9G47lC+jz8zlkbeIxz68Sx8y07rZaD4HZzKHu0nhCJlit3Ou9ib4+FfATF5qKW3dRZxMHDqC5MysriVbWJp8YmJz0YTebidY1cGSglM3OoTnkePx4K8PDw2dM2uhcIhKJHHr66adPp9vHZrPNKyRtEqIJua+gak6y8gCMHR6Gap3sDV3MqVg1dtFPmejFNKWz2BJtSJme7o0Ws2xfC311Vya0NQVFQL/EzYUmreGxoAhcvfx3AByKrNNIb2Af4bALSfKyZvtOvGXb+caX/54R2U6lTke7/BwvFJTx1Hd3Z1x6oNPpqK6uZu3ateTk5OByuThy5AhdXV2Mjo4uOr4+Fe/l5MmTHD58mO7ubsrLy1m7dm1abdtUSEd68UVKOp3aC+sfTPxbRuJjNm0SCzVEUVXw+hwUuL+YdEzcujslVWMiikUME1BykdChE2TWm44yoeTiX70CXevcVyuqGvEr1kTCUrxEIe4WF3SgqiArmqj0odBqfEqyhaiqMl1dXd2qqmbe9HQBnDPCA1x79+5NG1OIdyueg6keeUlW3gzYmvdy8cVVtLVNWZCBAE6nRk4e59Y5Vl4cj2y6Hx56iI/UehgePo36+c/DY49x56a92g52u2bl7fYnCK+ycjqnQWsQex2y30/lk3eSl/drVFWlzW3D5Rkl3xSmpKRmkY9nLnQ6HQ6Hg7Vr1+J0OrFarYyOjnLs2DGOHj3K0aNHOXbsGMePH5+zvbW1FY/Hg8FgoK6ujrVr11JbW5tVx4M4UpGe2+3GbDbP24rE44FwGGzmKJ4Z3ct374brviPwHHDi+n/kRzddShD4+le/ypEttyX2m2nduVzQFD4E3d3sNV8LwOpVw2yoCPMn8zwKO1MEduAAbN3g1xJZamqQJFDkAcpyZsklFRfTGXZQao9Sao/yzDP/M3Dy5Mn/zuJxve1QVVVxu90d6ertBEFAr9fPsWji/fFmW3lxHI3WEzvlo2Clfmo/M5Ep15ZVnJxj5QGMxQoRfHkUWAeRfTFQjITNdiKFQcze6Tjq7ybfQ86AtoRpi9WRJ05yKLIOul2oqnafBkMFay/6GH3ln+GQ+hIAH65bz4rzwvzocektdQgvKiqisbGRNWvWUFxcTDAYTBBgfGy1tbUxOjpKW1sbra2tiXHX2dmJLMtUVlYmjdtskYr0JiYmGBoaSis/9sWmh4gRppCqhHUHsPUTP4AtVzEWa8RuOokgKJh/9CeK/5SsqBS37uyiH5+iWaRLdVreVsxoJixaMEWCuGe5PGdadyYhgl30JyTJxmUr8tJC/N3J7kwVBSMWJhhilD6+9AuTPDAw8Hg2z2shnDPCU1VV7e/vP7aQoorFYklNerMxMMD27bDLpXVBt1hyUdUwx/q01MqN7mQrL4Ft29jYfH+CEGlsRBAErr9+CV/9zbTVY7XC3Qen4oe7d7N3t5877tAsDrt9OoElTnrhnh5aW0fYufMYOZYuxsag0OHU+uYtUKqwGMR72dXU1CQG45o1a1i1ahUrVqwgPz+fVatWJX1WV1dHSUnJGeneHMdM0hsYGGBycjKtlFE4rFl08X9brXDt9mni+6njY9z5sQtpufxyrrjgAvjKV+jo0J7zzJ9ttnXX0qJJrJ7etw/H1ITSUOlnY3g/bcWbk+5htnXX5rZRVKQSGRjAVF6uEakzSqreQ83NzW5VVTPvJvoOQV9f33/v3bs3bcCkvLycxTRqDqpmjkbrGVEKkNEhACbvKLZybSwMycUs1fcnWXmgFaTL6AgouUyoVgRFwCTEqHr5dfqWX4ts1J77TCvvrtHbyRnI5/q6X9EW0zp15DynEjzxdUKhViRpAItlCZXRX/Gzf1NQlqoUrbUQfjafVve/Y7Wu4Jvr7pvzHTKBIAjk5eVRWVmZ6FCyZs0aVq9ezcqVK8nPz094YuJjzul0UlFRsah6uMViJumNjY0lYu/zkfoXmx5ib2QCAREbpYTw8/OPX5X4XDGW4PPZKRj/PRwcItetxUqfCl7BdTnPJ/abad3lCCF0gkxQtTDWWI/5aBegvRPjSh5lurnOu5nW3aSSg0GQKKsXGDmpJASiBeZ+h1//+tee3t7eR7N/YvPjXFp4dHV1/ezpp59Oy2ZLly6lr69v3s8DgamkkhmBoENuB7Y9u9Drpzodb9iQsPLiqKzUSvV2uTfChg3sqDwEwCPWW6C5mWXDPRQW+ggbjfDYY9x/a5t2iS1btIN3706cK37p6axNTR3iute/wC23SDzwk342bVw63SzW6j8jpJcKoiii1+vR6XSIonhOFCQKCgrIzc1NlCDMh5nfudNtxGyGW2+FP23/KR/4joBBFPngB9dSZzZz0QUXwNVXc8RlTITfNmyArb5dMLM10Qzrbv15E5h1OkZKG6fJUNuFcBi2snfuTU1Zd0bDMMU5OdP1gHG5OK8xoSM+MDDA4ODgGROufTswNDT09O9+97u0hF1YWJi2JCikmMkTJxmTpzsU5AmT+BQbuUc7yV1XwMnYsiQrD2BcyeMvocvol0oT5QpR1YASNpNrGUMIxsgb68dbthopJ4plyIagCNSXvc77c5/jrtHbkc0xgqqFE1ItIddqcn7WmSA9Wfax5N17yS+TuPEWD395GlDhk8vu4vql3+ffOr7/lkkvFeJWsU6nQ6fTnZMxZzKZqK2tpbm5mZUrV84r+fee+mnCctBACD/PrPgCAFsf6Yb3fxGPdwXl+a0Irw6R7ypF8OXxYmQjG00tALwSWY+JZG9i3LqbUK3ESgoQhyY4Faua05A3Mk8Cy7hsZVRfiF6ViEY12jkZ1TqcS0SZYDq5qq2tre9MlyPEcU4Jz+/379+1a1famEJc8mhOEfoMt2YcNteh6dyETZu48MIiZHlEs/JmoK1cE6KOT2Seyo3Q3Myd2w4lJVBceaWTB2pu1mST7ruPW2+FW24VNdID9v7Kw8GDyW7NOwD1R5Xs5DpeuvKLtH7nX9ixYxnPPHeSVUu02IgfW4L0zhbxnUt4PB4kSWLNmjW0tramjCnGXZm1xZpFbzZrGa+PXPpT7vrMZ9jAdbz8n+287y+/nBZ7/spX8Hqnw2i13Xuhro5dHU3U1ECTd5rANmyAU3/+M8tWrqS5GS07trk52borL2c/mzXyq0nusNDf3095dfW0dRcIQHExM71/jz/55LjL5frpGXlobxNUVQ2ePHmyN13cVxAEcnNz5ySMfbb5a/hkGx0zCszH5PxELE9GRzQiYAoFsBVPj9cTUm1SPd4JqTbhFguqFkbi2ZdA8asdeMsuJGIxJorRFaNEfZm2zjB7rXy84pHEsSHXath/FJOpDln2MTGhRzJ9mBVVh/jq7Xv5U/DPtERVivQ+rl/6fY5EVvKhVc9l+/jeMZiYmKC7u5uLL74Yl8uVMpElnqX66PhLCFNT+zMrvsDwph5493lgW0nAr0M31krOiBaW1geNvBjZiFuqwCjE6JYqKRLH0AkyASWXDmn6t9esOyfmY91EMCKjQxQUyvXDSURnEqLIiHPUVSrXQv+RZOsuRgQL0561h56+iMHBwf1n6LHNwTklPFVVY52dnW3zyohNIV1NHky5uqb0oTZs0MjnkNtB/vNPYDBUMz7eDRs2sNG9C6t1av8tW7C5DsUlOfFsv2X6hNu3w549rCnycvHFZXy18MsANNw3Yx+rFfbs4c6bp0nP6YTIuMpdn/88P7hSmylv+4uZP1/o4ItffJ3PfekkObJWz+LHhtWqneZ/K+nFm8GGw2FWrlxJYWFhykSW2WQ3M3Z312c+w06uw+HIx3To6xiOHye6aTPRA4eSrnXDpR7w+Rgqb8Juh9LWveDzsUt/A62tIEnj5CgKvrI109adXk93N1x6qRbXTYLbTWfxRjq9NmQ5oq3QZ6aFm80J6844tbrdvXt3ryRJb56hx/e2wePx/Hbfvn1p3ZoLeVYmlFyK9WMElJxE49eElfd6O8aN5ZySqnk+fEkiW88w5dYMKyZCihmvUoB+ahJURZWcXE1Cbun+V+lc814UvYIqKgkFlvNMbTx4+m8B+HjFI+wLb0JWdRCWGHvsQgYH36Cn5xhNTespXfEpHCV/4pEvF+M376MlqmIVgxSIfkaVyf/VpDc4OEh3dzdNTU3k5uamTGT59Opd9Ev5tCt7KDavw0EDAaZWju8+D5Zci6LqGTwVpvz0E9i+XcHJP093I9loasGn2AhMLWaiqjFRFlImeplQc1H0OmIVReh6RxPWnQEJPTJR1ciEmmxoBFULQ3IhflnbbneA35O88IpbdzG0+fMnP/mJx+Vy/fjMPsFpnFPCA3C5XP/28MMP+9LtU1ZWljJb0zFVg+p0khBrTrLygPz8QiYnJ+jL04KwcdJrc4kQCNAQmDGxWq3cub2Nux9ywM03w0MPYbVWsG3bGH8nfQ/Q4nUbN4mJ/eOkB1rmpssFHz6u+bMv+ct3E6e+oe1GnnjiOP+08yTh8CJiku9wSJLE0aNHsdvt1NbWJtw4sxNZ4hn+cbLr9Gor++3b4Yr/1o4RRYFvfqCAVY8+ymXj4/h82iLk97tnJNS4XAxduoMDB6CxEY38LtUSU977XigceY5lM+XLZlt3QBsN2O1aZ4SZyJ18jVxr+hYq7e3t9PX1PaO+3fpTZwA9PT0P33///d3p9jGZTEiSNCd55est2qKvI1ZNsTiGVQwmWXkAQlRibEhPf/G0tJVd9Ce6WUdUIyek6QSLEbmA3glt35zcUQR/CGP/BCOla7T97UGknCjXlD1JpX4gQXrbc56jQj9E6NkrCAyW4zn0MlVVfUAEvb6Ygsv/k+r17fzk83r0jkMclsY4LI2xXC8zqpy9utazBVVVOXXqFIFAgMbGxoQbc3Yiy/X1+wBoV/ZgEysTZPfodTcxfOdULFHQ4TnsxjG4i/z9ObweXYOEjr8OXJlo7+RTbBSJY1hmFIvX6N3oBI3QOpouw/jG9Fiaad0ZhSiyKhJTDcTQz9FVFSpt9PSYGZDmbxem18OLL754SlXV3jPx/FLhnBNeMBg8+Nhjj3Wl20cUxbQ1eZBs5cGUZqZzBxs5RE5OLSdPduLZtCN5/ynXJGhk5bFrdXwzSa9h990UFTlZvfo4ckEBd1fez7ZtaMLS8QtNHV9ZCadOdTMwAJ94TFtBqt/exE6uYyfXccvQTfz0py7+8pcOHnts2qyzWqfS9LNoifR2YHx8nCNHjrB8+fKUGplx0jt8+CjDwyqOYo31Or02zGaN7D7/mkA3mvj2Rz5yHt4//5nNw8MMhW24XNMJKltrOrmheNo6S1h3aJmW69aB7ZX/oUCSOFZyBWYzOJh+tgnrrrwcrxdqatCsu0qNDFVVIaSqWCxWPFIpTdZOSJHF+P0f/7jvxIkT33vrT+/th6qqoZMnT76xkHRfJlYeQIdUjUcu48XwBvyv+6jaKPJGKFl02CDEME2psNhFPxI6LGKYkGJOkF6BdZDCo8cYrG4kaC0kZ0BbJEVt4QTp9Y8tJ0cI8fjk1eQvgUH/jVSfeIDonz/P5GQzBkM5Vuul5NV+jqqNnfznefDAdW28fupzHJbGWKZX+fTqXSxb9vcsW/b3b+l5ngtEIhGOHDmC1Wpl+fLlc+KEcdK779vPY8pReD6olazNJLvYjmVgXwWV1zE2ZsMgTFD2wjivn7oKCR2yKpInThJSLbwYviBx7oCSm7DuTGhyYsOGUgSbifEBkTejqxOWIDCvdRdT9QnrrnItdLypp0jnoytWSU/MwWz80z32cF9f3wNn5gmmxjknPFVVVY/H84fDhw+nXTlXVVXR2zuX6GdaeQBUVrLV6UlSjrrEcBxFiRKLaSZ/3MqLY0flobixliA9pxON9IA33zRSVFTHHzd8BNXtnkt6bjfbt8Phw90UFEBvbw0uF3z9y1/mrn/914QSy06u447wJ9iyZQ3PPafw5JNHiEan3RBtbptGeu9Q4lMUhfb2dgYGBli3bl1aybDc3AJycpYyMnwYNRRKNO2dTXZbtmzhKvcL/O1UC4SZZSY3bOjUMk58Pu4+uJWf/WzqgxnWnaqq9BmN+Bo+PF0y53JxpHhrkq70fNadyfsalrL6pG1+bHhwJIgzGo3y2muvtauq+r+i4eticOzYsW8/+OCDaetgCwoKGB8fnxOTnWnlxfHI+PVElGmLPCrrifVMsHTldLLDTF3FcTmPAzMm1bgVESc9AViz78+0b7iGsI0k0rvI9Dq/DlzPvvAmLlvm4q9127noxd8QfvZy6A0Q+OsNDLV9HACr9VKEnArKdjxFnvM59t+1k5JyHSelGCelGO+3XkC58Xwuqv8lF9X/cvEP8BzC4/EkFFTS1dl9qOkVDj5ppv497eTmGviUtYxLcg7zm7LvT5OdfQ3BkJmJ4ycpbdNifBI6XFHtuQ/JxQzKRTh0Q6wxuKiYoU8bt+4AohuXE351IFFmIiNiEqJJSSvzWXfe3HLGAkZ0skY34lRBeoHOj25GO6AHH3yw2+PxnJXszDjOOeEBtLe3f//ee+/tTrdPvF4snbROm0tMUnYOBKDNqiW35OYu5+TJjiQrb+8+Eb9T+zxOegAMDLDDOaWbWVnJTQdvYetWG6FQCbsv+DRMkR7Aocod0NxMaXAf550H+/fXUFmpWXv+O+7mH8anyxW0/17HzypF7r23komJlbS3u+ju7iVPHaeyUiO9BPG9g+D1emlpaaG0tJT6+vr5OzBHo0SjWqLJyppclhYXs3tvD7/7ncqjy7VVaTfac1i5chN/W9HMdfv3UyDLCXfnwMAU2YFGdq4dOJ2a5b3VNy0XtW4dmF/9DWWxGCMjIhs2TFtzbjdcuy2KrWVWvDvJulMZjkTIzy9BksAR7oTiYrze6YJ1o9fD7554YqKnp+feM/Qo3xGIxWJHn3zyyVMLeWhLSkrSxs9fDK5nQCpmEs1aVFQxkYTgPxrAsVbgzci0lacTFIKqOVHEHie9uIxYHAXWQaSIwOq/7qXtovcRy4klSC+3sot/LvshruJ1vLbyaq556afsClyFQzdIwXOrsf3HEuh5laG2jxONurEv/SL29X8g1xmmuujf2dKUz3VX6Zk0uflLdJALjQYuNBooF6p5vzNFJu/bhMnJSQ4fPoyiKDQ1Nc2roHJ+/Q8Tfe2afU+we3c7/3LDejYUHOcT//oN1NvaEmQXk3QMtIxQ2f0wpfuWcLRTk3RbYegipFrwyKU4dENsNLUwoVoZke1YxWn3b1Q1MmR1oBNVhPEwkqonrBop1I1jFGJEMDKu5BFWTIljZlt3NRvh+KsGinS+hJCBaZb26m/2bKGrq2u/qqqL6/eUJd4WwlNV1XfkyJHXFxJKrq2t5dSpua1iHA5wlCvY7drqHGBjZXImyEW6o+h0ZiYmtEVt3MprbiZBeokEFue0XuctB2+CTZtwfOsWtmwpJxJR2LXhCwAc2uPn1lthX8O10N3Nlpwhtm/XONftnq5cSCa9O9jJdSxZcj2f+1wPl1xiZnzcwsutp5j0drJqiUZ88e/xdmN8fJyWlhYmJydZt24d9pkB0tmIasXkbrfW+YBwmBcOVfLcc0u5Jv8zhEWR1167HoCiovO5a9tprv7d7zSy6xbxemd1+2lpYehSjex2ONs082/TJh4J7OCZZ0CSIgzr9Rwv+3/Tx5SXc0Rq0Cz+KXPxSPFW7Pap7MsZsIy8hrmkLsk95Edzuxq90+/PL37xi1NDQ0NntA/XOwG9vb0PPPvss2kViR0OBx6PJ6WV97vQGP2SCZMYxYCZZ4LVxFR9wtKLqXomm0dZdun0tFKn76FQN54gvYCSw4HwBQkXmEM3iBTU/q3PCSCOB6k+3MrJ868AtCxNQREYqivh8k2dHHta5a+hC/EpNv478H6MQgydICdIb2JiH5Kkmf729X9AHJ3kYxU38Fn3vdz0nmVceWktL8ge9kRP41cX7hd4LhAOhxNKSg0NDWl7SZ5f/0PKcaLHwGk0Kb4bDVU49u3H/Pd2Yg4n4mV3IhZdhKJA32s+lvb+krJ9ZTSPXsiIXJBkgS3V9bPGeAIZHSOyPRF3Xarz4FNsqED0Eiehl6etO6sYTOhnxv8bUY0ElJw5ZQrDOeUEVSPShBZ/jFt3BkFiUDYQQVv4fPe733W3trbedSaeZzq8LYQHcOzYsa/+4Ac/WLArsyAI8xaiO8oVzZU5j5WXk1NLT08PfRdok26c9Nxu7ZiGwKFp12hzM3fe6qeyMpn0LrtsOSuq+xi7/nq47z5+/4iLX/8ahhpuhuZmNjr9bHRqSixOp0Z6tj27+Prjj/P1Cy5gJ5egkd6T7MTJTpxs3uzh6afPYyRo5uXWToaHtQkm7t1cbCPZM4l4u5Lh4WHWrFlDdXV1SqsuGiVh1Xm8Ri0b0zqEP2xkf4uN3/4Wah4oZHjfPk5/6puIooAuL4//uNHHFQ89RGEsliA7l0srf7vBOSXmXFnJgQOzyG6Pg8pKuKlyL+HJNpyRCIIgaNbdVPsnt3uquN3nw79uc6KxLC0tiUQWVVUYDIcpLKyY17oDOPTmm7jd7l//X0hWmY2+vr7//uEPfzh3BTkDgiDgcDg4fTp19VAvb3AyWkC1PoQBbXIzCBKGKSX+8OkI+aYgx21N9EkVeJWCBOmZRY1r4zFAgPaYVrIwk/Ssbg/moI/O89cTC+cyaXTSX72JuuP/wz+X/pA1hhNca9nHB3Kf4ecTNyRIz/xMCPm3XyTg+XmC9Gy3v4Tt9peYuK2LD111K2Pd+Xx0eyPXXNJIrsmCTx3h8vpH+eTq3Xxt7VkNH81BMBjk+PHjdHR0UFtbi9PpTCkScUH9jxEEgQvqf0wlaxJkV46T+0olNpoPs/qWR6kqe5E+9XNIkhF56CV6D3opl/6C4/m8BNkV6cYoEseYUK30SloIxyhEk0SiZVVkQrXiU2wMrVmL6XgvQkRCUvXoBQmjEMM4lYGrqCIR1YhJiKIgohckIoqRyanfePklcPTF9Nad3ijx0ksvtaqqetbz14W3c1xfdNFF+1988cXL9Hr9vPtEo1FOnDjBmjVr5n44VavnD4jYAtqzOuR2YLWSyMZsMTbg9fbS0NCA4+Au2L6dQ81iYp+9AY0ctzo9WlBv+3buvs+G2w33b3qEXdabAJXu7iNcs1XF8sor1HzsY2zcZuPQ9qnGstu2gdPJ3ffZ2LZN2+R0asTHPfdw12uvsZPrgJmuTk0OqbX1IoLBIWAAk8lMXXkBOWbznA7vDQ3pn2VrayuNjY3pd5qFWCzG6dOn8fl82O12KisrSf9baCn7UYx4vUyTnbmUnTvh3t1aJt5dXV3s5DpWrCjmS9vMOI1GNmzfjkkUiW7aTEvLNNndtuVI4oHtP6iddwe7YNMmjngdeL1aAbmnrg5FUfAHawDNhWxzt/Gnbs26qw0cgeJijngdFBeDw9cGdjttPu3v0KlXyM3NRSlvShCev7iWQCA56eWGL3yh/dFHHz1PVdX//am1KdDQ0PAfu3fv/uLKlSvn3UdVVVpaWli7du2cRU9D/bep4nxWGMdoj2qF6FfkaF1cYlPxmLBgpub6PF563MJao4vzjG0EVTMeuSzh+mo0trPS0ElQtRBQcinVebGLfvQ5AdSgBb0+yqnzLyCSk0eUQta8+iix/Eli/VobnLZYHUt1Wqf1xyev5m+KNR1WVVQZvtoDa0sou0xrNSXLPqLRbvwPT3ty/vjUNxlYtQJVhY7DIqfcwzj10/WBAL88tj3ts8xmzCmKwtDQEIODg5jNZqqrq9OKPxsMeUhSgG0r/4gBM3oM9HEYB408veQWRhtPE9lhA3Mp4rIbkSQjncdj6Hw9VBx9gcq/KnRLlbTHahNkdzTmxCOVcZ7xGHbRT5FujD6pAp2gYCLKoFKMT7FRUBAhsn45fc8GCCi5GAQpQXgwJSIwRXgxVY+CiIhCSDXjle0oBblUrlE5sCePCv04Y7INkxCdY93tuHVg7Ctf+cp7xsfHX8noYWaBt83CA+jp6bnn4YcfTutXMBqNmM1m0kmS2awKfqu2Wokbe3Erb120jZwcE/393oQJtnHDVJGs262JCwN7XQ7ibRTilh4HD7Jjzy3s4AmWLbNx4LUA9ilLr7ISdjTfCZs2JeoT7rx1+h7jTWj9ezTi1Sy8JxMZnDu5hJ1cwr/9m8APf1jGBevXUFe7hFODPprbu9HFDuPIP50oXj9TCAaDdHZ2cvjwYU6ePEl+fj5r166lpqYmNdlNWXPRKBjD/gTZOcoVaiujSWR3V1cXQldjgtxvGniMuuJiLFddhW/Vu9jPZg4e1KzwVGRnt6M1boUE2TU2QsTrZdjrZXyymro6aPDuT0p2iZOd3+qYtu4CAdp8DiQJivwdjKkq0eKmpOSm2dbdqe5u2tra9v5fJTuA48ePf+euu+5KmyUtCALV1dXM190kbuWtNE6/m2OKjSKdDwCzGmbw1RDr3zVBT9TBm9GGhBan03iKav1p+qQK2mO15AghrOIkQ7I2yQqKgGANIigihacHGClfQX6gAymkWQyGitPol7hpMHTQJ1fQHltGkc7HH8bey139/4ygCJQ844DCdQwe+xBDQ/+FTmfHYlmH/kP3ov/QvbB2Kdf/60/Z9dRJ/rSng1hxMxe/10f5VUFCy8Y5oQ7TJqVvq5QJotFoovvJsWOaG3LNmjXU19fPS3YlJVdSUnJlEtn9uf3d+OhPJrtPb4b6W9DVfhpB0COMvoDO10NsopjSV820x2p5YvIqBpXilGRnFKKJzvU5QohBpZiQYkaHTPhiJ+4XggSUXERBwSYGEr/jTLKbad3FIal6ll8ML72oJ0+cPyynqBK//vWv288F2cHbbOEJgiBccMEFB1588cWLTSbTvPtJksSxY8dYu3bt3A9nWnn4ExNdIEDCilOXLOEvxwZxOJpoFNvB6WTXbhGnExpcu8DpZO9AAy4X3LLdA7t384j1Fg4e1MrzSvfcDatW8Yb6Prq6Wvmk7VUKYzG48UZ23Gxj161Tge+psoebbha59VZtU4Jcgbum6mjihKD9+0l2xgtEgW9/u4hbb4VoNMzIyCCBgB8jUXSiSH5eHnk5OZiLizEYDEl+/tmrTUmSCIfDTE5O4vP5iE4VyJnNZsrLy1N3S4ir20zVCAzpHdjtU0Rn1ixOo17b5+8+K/LpT8PPfgY/3VObsOri30mfn8+Wm29mw/btuJeu5eTJPgoK1vD880Li2di6jySRXZNvP3R3s8t6E3V1UF4Opft+z5EVK+jzrOLKK80YD+5nyLmZ7m6NrGrpTKik7HU52HppFDo6kqw7/8mXsNQ0EonkY7VCqbeNoeIGAgHNUozH7z50++0djz322AZVfYcEd84SGhoavv/oo4/eunr16rQL3sOHD7N69eo5C6GG+m8DcIVxGS1Rbf640BTDIEhUGzyMyHYUVaT4XXZ8x8MM9xvZbt2DVZxMaDOGFDM+xcZ601Hsop+gakk0HTUVDTKRX4un5kIaD+yma916BEmPqVnL2i5c0o4qqhj9FlC0MaDqZZ4c3E5LeBV3lXyPwYu1JCj1Q5oMXcGK/0jcfzTqJhLpQP7h5wEofXEl945/il9GxlixIp9ly/Kw6xwoCowOwsgA/OLpqzCZTGnHnCzLRCIRQqEQPp8vEYrR6/WUlpZSWFg4JzYX//ualVpZU4QAR0bvx2KpZLXlIwB0cwhX+9f4zQX/xLu++HPtGR2IaWRXcjE6nR3Z/RiKKtLXtYqyo/spfdXMq5s/zJtP69mkvMZyQw9R1cgfg9uSyG5I1lZ8pTptDuqTHQSUXCznFxEbi3Gi3Y4oKBSIfoKqGUUVCapmrGIQZap+z69oVsZM605XkUtupRH3wViCFOMxXIMg0Str7u3tt3jGvvWtb31geHj4jLcCSoW3lfAACgsLN33pS1968ktf+tL8FYlofeXy8vIoKipK/kBREt2sPYGpBqwzSM/p1IrTJ4uLea03wLt6WxAAz7abOHiQ1KTH/VBejmfTDh56qJuLL4Ytv/932LaNRwLvx2Q6ziXKYSrHxqZJb8OUe7OyEm68kZtuFhPZmwC3fFYjiqd0OuLijLPdnF+b2j4xPvc3kaQYgYCfYDBANBpONMs1GrV9R0ZGKC4uTiQb6PV6zGYzOTk55Ofnp1xJxhVfEhmKYc1CHQrbsNs1Kyyes+LzafJgNquSILtXLxS4DQ87cSR9F8uyZWz75jdpHBvDd8OtuFwgimO0t/fxyfUqQjw+FA6zv3jHHLID2LHNz1DYRmj/Yxw1X8y73+3A6NYmsUPe2mmyc7sTcbqBgal2QFNkJ0mwynKS414vxdUXaS7YsEZ2AwPQ1KhoWTNmM2+2tvL/brvtbpfL9a9zHtT/MQiCYL3++utf/8Mf/jC/XxNNzqq/v5/Z7s844dWwkTL9JB3SJEZyOM80Tr4YwCKGiahGVFHEcX0Rx5+M8QHjn4iqxnlJLw4dMpYlJobPq6Pxpd0YJg1I5hinV5zHREE59r3HEFQ1QXqiR0uk0OcEUPVaCv3QWA0ASwwDDFzageowwUWXAZC/Qrv38ZGp7PeRZgB+/6krk77jf42eRhQFKipyqaiw0lC0DnMuCKI2vt77iRq8Xm/SmBNFEbPZjMViIT8/n5ycnJTJJ9fUP8sQWlmOisJysR5J1bP7xBVsr3+e8FSi4hAdSFMKJG8su5+hvxmFqmrEZZpCiqKEE2QXk830H1zD0lN/oaQlRnuslme4gtXXCqze/xTDARtuqQK3VM67zK9qneiVAmRVlyC7frlMS1QptaJrKOHkX7TnaRUnMQkxAkoOQdWMQZASZGcSolo7oKlklJCqFZfXv8/Es0/oyFf1ibpLmxjAr1gJKmYmGEZRIwTzv7/vtddem+4GfJbxthMewPr165/bt2/flel6tCmKQktLC+edd97cl8jjAasVP7akmMwht+bmdDrBFvDw4ik9sZifrW6t4+8c0tu+nfsf0Cy/rb5ddAsC47Xn8ZOf1HDzzdPW2q7dIpFIL+eJr1A/MoIwRXqARnxTTBfvtrBtm5YdarWS6NX3vQ98gLh3LU4W6uXaFuGFbyV9PVXeNO9z8QemhFhPtrJiRSM26ywN0hnKGUM+Y1JDgOLiKetmRtJP3JKLY0pTOVFADvD+F7Tnfxse4DNAPXCCnTxJ/kUXceVnP8uqj34UV7s+YYnt2QOfu/I1+gYGWFNVxcSytYnGuret08hu6OqbtKSVbRrxjuzZQ1fVaoaG6rnWqZHdkLUWlws2X6rAgQNEN21OSL3VBo5ocg12O0e8DpqsnRw/fZrCleczOZmbZN2VFivTKaK1tVx99dXHn3322fNVVZ2/l87/IdTX13/loYce+tpFF12UtpVGa2srdXV1cxZMV9Y/OdXWJSeJ9DaaR8gRwolJjjwjFVvysD73OjU69xzSG5HtrDe1AlqyRKC8nInVdaz96x8xFw6gDxoRJRFJMjJeU0RPwyUUP/c6+kiEwiXtABgCZqRAHkHVkqj9+03geraYD1KhH2L4Io1clHIdvOtdAOSv+DftmrIPgMCT25O+3z9887dJf//OdU3S35WVN7JjRxO7dh3B7f5V0mc7pkoG4gjNmGP1GAiiORDiST/PtF8NwM0NTwDgl610qyeQCPPMx/5ZO9CZnyA7QTAjR/oQjSUop58iGC3C+9pyGl94hsiIhRHZzhOTV3GJ+XWqbEO43nUNwef6KIiMUKrzIqs6JtRcZFVHhX4IWRUTZJdjjRHasgb9n4/iCi9PS3YAPTEH5XpvwrobkIrJqzOhWEwMH44mWXdxsgP444ktfP3rXx/8z//8z6v8fv9hzhHeEYRnNBrrv/CFL7zw7//+76n7yU/B6/Xi9/vn9oGKmypWK21uzTqZSXqJBJJt23jh9WF0Oiubu5/VDp0ivR2bPOBy0Va+leZmKC3txhl6kxpVxbNpBw73lCTZ7t3wrW+xa7dIKDTKauPzrC4sxCAI3PTQVgIB2HXHIQgEEuUODz00TXozxF4AiK3WyGPdLGsvjp28xMc/fnHi73vuST7eUa4RXOuxYzSuXo1nIH1YdmaCBmhuS5i25Kbqwfmv/9L++61vwRe/qGVCvmuK6AqB2xJu2XoUvosqCPz0Ax/g6muuoebmm2lziQk+cbngH7cdAbebsZISTgkmenvXsG6dQO2BR6CmhiHn5oSSSm2xn+CePbSUL2dgoIkdlw4nrPj97toE2VFZSVu4FrN5muyGirXsnoEBWCq24laNFBWtnN+6A57v6gp/5jOf+XJHR8d/pX14/4cgCIJx69atb+zZs2d1OrX/SCSCy+WiqakpaaF5Zb32nqooLNWrKKqIe6pJ6kbzCEU6H7UGTbXlZEkTtjoTBS+3UKNPJj3QrDqdIGNdomO0wUnJ3oPoVYnq4uOIkg5BEhOkFynV47rgvRS8eAzz2BhleX3EbKEE6UXrNFV366kyfhPQsrMjaGUTH67XdMD9/7wOveP9AJhMWieOaLQ76Xvn/803k/7+3Kn/TPy7R9LWCJe+V+HAUyIlYnLnghEleU6N60QmnunUUvdgx2cB2FD3Az6Qo6lK/VPZj/je4Of5xyU/ZHhjD7y7CabEMXSF2jwgR/rgpZ9C+zhjV9xM+KCZxhf+QmCikF9MfIhVhlOsMnaQI4TwyGX0GaowXrmMpfv2EZrU7lVGR6luBFkVCakWuqVKcvVBglefj/L8KbonyqZqLCeJqYZEA9eZXczjainjipUC0U++LsCwrpiaq3N55XEjBkFOad0BPPRKE1dcccVTb7755nR85xzgHUF4AOvWrXvsueee+0BpaWna/dra2qiqqprbVHGK9PxWB243CdLbdVD7UXZsV2D3btQrrmDPoV5ycmq45JS2otplvYnKSq1sAbudVyy1dHdDWVmNVvi8aRO7DjpwueDObYeSSO+aS4c43tXFsj17KLjoIm56SCO5R5zTLk7PtpuSbjVuNQE0NGtK8Hd94hNAcnwPoHMWAb74cPLvFc8K7e1tpaqqkdmPJZ69Gkec4OIotWuxvbiOZWPjtCX3ryenC8fjmHl/bTyJEwh/7WucuP56Kh0OisvKksju2nUeaGlJ+Hb9NU3s2TNGaWkfl3S2IITDPGL+O66+WuO02mI/0p49HCytZmhoLTsuHdWIacMGjrSK+Hywmf2JLubxrhVxMvN6tW5CuvZWDo+MULv2MkZHRWrDWnLSbOtOXbaMd73rXUdefPHF9Wq8u+j/T1BbW/uZH/zgB/e+973vzUm3n8fjQVEUKuP++SnESc+AmTL9ZIL0NppHuMB8lDwhkKi363WejyqrVLS3agoeyImeeT7FhlKRT7SxiuX7/oKiCERVIzpBpkgcw273IEb1CdJT8mKc2Pge8gc96A4P2QxnEQAAS55JREFUUJ7Xh2yOIY1ovvkJNZecldrv/f3mbyTut0SvFcu//90amSnXrwag6PzdSd/L799DzLMradvw56ZVZf7J+ylgmvACM2LwAFaSozMhfEl/DyptrNdrluZXC3+k3cPlWtmneu2U+3iPC27QYnjYtG06fTHyyItw+DmUk0HGgp/DGAyw7OReJiZLEmS3xXyQCTWXIbmYbqkSu+in0BrAs+UybHtfRxeKsFTfn8iQ7ZYqyRUnCV3ehHxkgO5+LVtV64GnEFZMBFVzguxEQUFRRXpijiSyk1WRJVfl8dL+EgR/OLFfKuvu1ltvdf/oRz+6TFXVbs4h3jGEJwjCkk9/+tMvP/jgg1Xp9pMkiSNHjszv2kQjvUCAhFW2yz2lrjJFevLWrTx/qBObrZFN7b/Fv/0mfvUrTZqz9PQTYLEQrLqa5ma4abtfI7jt2/EEbDz00DTp3eK7e+reFb7w2WPI+/ezQhD45MHpLgszie/+gEZ8cQnQuIvUHxATrsi7ZvW5+vrHP578HWcx2q5t90/dQyuq2sisOYnZobt9+5L/Li8n4VqMS3k9uER7rg8vU+nqup5ly/5IV5e2Wi4o+CO3j2mff+3LX8ZdXMzY1q10dDbA1Eo6fs0E2QUCGou6XOzqaGLdOih45X/oE0VaYh/B6xX4x+2ddFLLspZdvFK+nIGBOnZcOplEdlarVgaBy0V00+YksqO4mCFKtSSbjjZcIyMELGsxGrUuFTMJscE5RXi1tfz2t78N/Mu//Mtnent7f83/zyAIgnjJJZe8vn///nXzKulM4ciRI6xcuTKlaxM00ivRhag2aGNwg7kVCV0S6Q1dcgG+4xFqRo6z3ngUnaAQUHKJlBczsnoV1j1vokdiqa6fbqkyYVWsM7YlkZ5s1CzJgepGhpc2UPTim5RZ2pBypuq7+hxMqLnYRT+KQyv17ejRwgIvR85nnVEjw/NLtdDG2E9uS/pOeXlbkv4eb/1M0t+dt2vFu4Gta7HuPZy4zzjejKxO+tuvWPkb27Ri1i/8H+Ir9VqN9dhHp3QA6q9IfK4v1kJaihJAkacCH+1TXaoGQiiHluMpfg+VzYc43l/OBuNRfjrxkSSya4utIE8IkDelmjKh5CJbTPi3rmfV/j9hCGnWnx4Zr1JA6Lw6JL9E93EteTBOdhNKLiOSHZsugA4liewCSg4yIjUGD7IqYq0zo9osnDqkI6IaEQWFkGKmRD/KsFSYILz7n6/jmmuu+dXRo0dnTW5nH+8YwgNobGz8+R//+Me/Sde6HjTX5vj4OMuXL0/+YAbhuVyaUTEf6YUvu4z9b/ax1WFE/8Yb+LffxK5d3dTUwJbRN8BuZy9bcbunSG/PHti2LZn0pphi17b72bMH7vmKh46//pVlS5dSYDRy033aNe+4Axr2acTEjTdy/6+0OFl5ubZp01SIzmoF283TUmgAwhPJRsdvZ1l8H75cGxytl11G44svcuieZKmkGX1rAc1lObMrwQ3bo6x+NHnhECc6gI6p611QoPKTMYE24OuvvkpIljnR2krZ1VfzymtaI8e4WzQcnkt2P3jAyJYt2vV3BB6BcJj/yf0QstzHxy/JRTh8GPWKK3Dt3ctx9TJ2XKqkJrvubnA6iZq1WsmZZBe37iZb3+BoII/KyhXU1ijEm+zNtu6kqiouu+yy1w4ePHjh/8VC88WgsrJy+ze/+c2HP/nJT6aV+lnItWnAzNbcw0iqPjGxzSE9QWD0ygspOfQGOeOj1OjdRCqKGV7VSOHeQ4zLeUjoEtmaOuSEukec9PRB7d1VRRVFrxA15XDy/Guwe05T6XqTSMWYlswiibjdTYn7XFKlhYne7NKIZblhuuRCvT65NVXeZ5PHUDzOF0ew9Z8A6Am8l2rrUzCerBiV/yuR8XXTsqX5LUWMf3bWytMypZG5ZCo2OH48QXTS2EFtm7UGvIdgtIWi/9Iz6a+gd+OlGKUQFc2v8UakkRr9dEPPeBufONnZRX+i92C8N115no+eLZdjer4VXSjCiGxHXVFKyF5I98vaPrPJTicoiTicKCh0RSuTyA5AMRoov8rOm7sEBqRiSqes6bjIwEzr7uMf/3jXr371qwtVVT1ztR+LxDuK8ARBsF9zzTWHnn766RULdRFO69p0u2mzbkyknackvUCAXXt0WK3tXOEw0Hf0KOHzLmLv3ho2bJhyb065MgOBKdKLX2KK9ADu5G5wuxOW1vbX/5VT5eVEZZnlF17IaPVFWuPTW6cGVbOWFXY/WtkDTLsQ48kaCQQC3LVkSdKm+Vyenk9+Escvf8kjaZ+ahq9fdlnS38KLD0/96/bEtjjR1Uz9fT/w9w8/jFxfTxfQF8zBbq+nq0vrZB5f+Ce0L83mOWTXxBGNBKfcmF4vfPLdrfSdPMmarVt5av8AK1bk09ZWrnWkn4fsPAHNavN653FlhsPoDOezdg2JbrJHBkqpqdGyTOPW3Te+8Y2hBx544EMej2eWAOf/fyAIgnD++ee/sGfPnncVFBSk3dfj8SDLMkuXLk3afmX9k1xkPo1VDCIKSlrSKzWOMXzlxYgvdmCyquQ02VnywotMytrEOLMzeo4QTiK9eHKL3TSi1espIopeRjbHGKheg7eiiZqWV7H5u4kUTpIzoBXGn4zWJO51mV1LdHl1RIuHLTf0kCcktw7yfydZfS1n9b8n/R0nwM5OE7W1ESTJl/y55wnISX5G+oL5E88EQSv7iI0e0DYc+SO0j8O2dRTdPYwKuIs2M1y7kiWvHyJ/ZIBnQ5clnsehyFryhEkm1FxKdSNJZDcka/V3RiHKUr3WtbzPWIVv6wbUv5xEqchntLyGyf2ai3M+sgNNOg5gRLYzrlgTZBdT9VRclU/vyxLHh5dQqh/FIEhYhDAGQaIn5ki8D//yc330b//2b+89fvz4l+d9IGcR7yjCA1i2bNmH77jjjgc+85nP2NPtl9a1eUgjl/lIL27l4XSyy7UUs7kFp11HbUdHwr15y2cVzf/n87GL/6+9N49vo77z/5+f0WlbtuUjvo/cdmzHCRBcWmgaQpYjhQXShTbQpfRYKG2hC/1uFyjdtrtbli1tf/vo8uWG9peeuwXa7XIWkgIBGpJADmzHdhzbsRXfhyzLuqXP94/RjEaynATKkRC9Ho88Ikuj0czYHz3nfatWlwakQa96M9zRofbivP3aQfjXf+Ua7736ITy46DscKijAFI2yc8FNgIUXXjCAzzBq3bNB3X9qQsqdlyXfeQJ87yMfSfpZA+DnP/8RfvrT1492yY6ql+OA0+5t74j/b7rtNjy33kksFmO6+02mFIVwdAkDA/n6KTQ1qWN5rE8+AV4voxdeQ8mzW+Azn+En91u56csh9WK5XLBhAz++R71Lv+WyHti7l6mWFra/2cPSpUtocAr0Ni5r1tDTp6SFHUBeYBScTkbd1oQrU0q8/moKC/PU92GAXbwVGQ0NtLe3R6+88sr/v7W19Yvv+KJ9SCSEqLrqqqu2//KXv1x4rG3nc21qbbnmg55DmdX7LjqsQcYuXYsyGyTrmTdYZHJhEjG99VQUE1YRTgs9UMFXaHIjlRhSkUTtaiwwbDMxsGwtQfsCFu1/mRyPamUpERWixgbHitMNgCkwN0k1WJgMwOmvFSb9bKtXC4h6eiwsXhzWgWVUODyc9LOiJF8vKSNEPPHZwlPxsoy+DhV0QMEfVbfoVH0xfdXnUtTTRV+blZo4tLRuJwdCatJNi22vuot4zM4IO6fiic8njDIYVS3LcWsJwUtPxzsi8T5/RC8oj2JiKpY3L+wGwmUcjmRRYQ6z0DJIWJrJWpKNOc/CoV0mhiJFVFnGdNgNR4qxiAgPt23C7/ezbt263Tt37jxLSpk8Dv190gkHPIBVq1b9z9NPP/3XlSnWTaomJiaYmJiYUyekAQ+Hg3YakqCnWXkbNqiZm33l5ewZLiAnx895FRZMb77JtqprtLfT4t2WDD1nwt1hzMK8/dpBNJNti3eT1qWM88ceoMfhICcS4VVxNWBWwbdhi36Mmm7fnezO1BJSjFpPsrvle+epLpqKz3+ewZ/OHXfyXW7mu/x/c55X95WQlgdqui1x4+W59U6klOzYMUQkMkIwWA0U66C76TMqUELOEhV2xcWM1q/lnnvga1+De+6Bf74jGXYP/szKdZ/xqJau24087zyefHmEykowBydYmZ1NeMUqnnxS/YzVq2Hx+E4ddm53vK1YHHbaNPXiYpieGKKje5bKyqU67ELOEjo6oNmcaFAaWb6c9evXt27fvr1FSpk8y+QU1bJly27+4Q9/+M+XXnqp42jbhUIhvQmEMe6nAU9tLB1Jgt4aeysmonGQhYiV56OsKsdvzkZ5uZtsz5T+hQtqb8dU6GmWnwZFDXrhmPpFLLL9SHOUqDVKxJTNwYWXELNYqG97nqxZFSI7vWrwXCu2Bti44CkAIl61JMpinzso1rM0ueVvYLOa+KW7NAHsKcl2lpQSK09n4nF33JM3rBamZ/cktrV1qZbh3qKzGGg6k8gRL0Vtau1htXmIbBHQh+/2RaooMY2z0OzCJsL6TYE7lsdotJglZtVt61Q8zMgcZmI5+o1FdPECpmoXo2SbiTx/CGvApzeOHoiU4463AYO5sHMIG422bnX7HCsl5+az53eCoUgRpeYp3bqbiDqxxLuvPNy2iRtvvNH16KOPnj87O3tgzkV+n3RCAk8IUXDRRRfteOqpp5Yfy7XZ29uLzWajQhuUpykFek5n3MqrqmKnS83kbGjow35gDwvr6niiowaH4yDrTZOYhcCzZr1eO6dB797hBJC+Eh8rokFPy7xs+P2damHfZZex5ReK7gqd9nrp/9OfMEnJXX+8HK9X/aN94rF4mq8x2BbvaL3Tm9xA09gWS5PWGq11bIymBQuSB8xp+k1yTZFO0rMMbpZ4N41tw+pnShkiHB4gFpvBai1j//5SQGA2q97K6y4bhdbWxPBUh4PR+rX67kqe3aJSSOvfZYTdb35Dz4brkFLS3t7JsmX51OdJpo4c4bDFRk/PSjZdJtVz0ZoKVLXMC7sKh4epqIn+vi5QVrOqfAzGxwktVRsJpFp33/ve90bvvffevxkZGdk+92KdmhJCiNNOO+1PW7duPaZrc2pqiqGhIRpSGrymg55Ws1VjGSRXzBIpL0BZWYr5hTZyLQHGNnyM0Ksu5FSA5ZZevdu+EXpabV1IWvDJLPwxOz5pZ51dvcGMYtJjVCLbj4h3Xwlk59K17DzCWdnUDL2Ec6wXAVi8qqV3YHaFfuxaTO/OqUTCmaav5CfX2eXWqD06u1ZdwfJ9ajKKEklO+tETaOLyfsGJ41G3en0m4+UYButSiSjEFIU/V32SoeoVRIdnOavrKZRIlM7wIhos3bhjebweWk2FSR3TWKRM6WUeMzKHiWgBJhElKk36NdOuowY7byyH2SVVTJZU43t5mOzsCFnn18ALB/HPmpiK5Sc1eTbCTnu+0abWLgkz1P51Pu1PRun0VCbBziIi+vYPt23ilVde+UBdmZpOSOABLFy48Ipbb731gS9/+ctHXX1SStra2qipqSEvLyXurkFvzRoGhxW1C0s8m+XFrhBTU3DeeQvVGr36el4YrCUY7GB9YxFZPT1zoRe3xu7dnRgvtJ5tbHElbCWvV621a/j9nXDrrdx5l7oQtD6bgVCIgf378UWjFFut3Pf82cRiZu6snxt9u9OVXM5w7bXzXwetLKHCkabnaCoE7Xb2owb09+5Vn6qqgu7uGBbLJE7nEKDgdFazZ496TW9Zo4a5QmetxfrKNh10PfUbeeEFdR+XXaYWdrN7NxQXs2Vcbet0zWdCc2AXi0UZG2vH6SxlRX5EBVR9M08+OcXSJf2sNJsRWVmEqhbrx1hfnwy78XFoXuhh1pRFe/t+srJWUVhopsI8qlt2YLDuGhpoa2uLfvrTn/5Za2vrl+a/mqemhBCVmzdv3v6rX/1q0bG2dblcxGIxamqSk6qN0CuIf+kOR4pxKD5qaz1krSxEPt+FDRUIE6II218txP3WLI4jgyy3qG0+/TE7VhHSMzw1txyoFow/ZteHlRYrU2QJvw6+kFRvhLJsM6rL02RhoPYjuMurcUyOUjn4Gjb/DENTiaQ3bVrAR3PnhgUuPnxf0s83F6g3kKHzGrFujffGtHYmbVPknDs5XgnFrdFgPPHGFsLtL8ZXVMybSzaA3QxdY6wefAUBBGUCiNuD6ndOhWmEEtMEpUqiFMIIO81SNhHVYeeTWep2sRyGVp9BSLERfF21Fq0ihCnbRGxDHaPPTjLmzSVLqJ1ytBo6I+wKTB4q4te9emMevTtgasyMK7xAd2XalBBjEdUNfKK4MjWdsMADWLVq1e+eeuqpy1Lrf1KldWFpbGxkTk/Onao7rN2Vp7aeWuOh7803oaCA0eAqzdNGXocKx60zpxEMtnHW0mwKXS4detoYoYodT+g1ZffublGh16HG7trXfYXduxOW2FeIx/Tq6/WuK7c71eckMJ6fz6jFQqSggF9vXYbLVcqmTeof5ybvljklCKkuT0gYa4FAK3Z7kzE0qCsQmP+5aDRMdvYY2dkTmM2SUKiQ4uJyhFBdSBsd8XyO4eHERXC5YOFCHnxFdRffsiHeBNpsht272b/6Gh1S15yjdkihuFiHXTgcYGysnfLyZSw5osYxQmet5ckn1YSiqb17GfD5qDvzbPbtE2obsYDaMozi4iTYyQMH2GOxYTLVsWBBVmJqeXFFsiuzoYFIJKK5Ms88VTqqvF0tW7bs73/wgx/86+WXXz7/ePu4Ojo69B6RRv3TqvspMKlwKjePMhl14iktp2y1BfvW/eQySxST7qbMVzxMnHU6vhkF+/5eHXru2NzEUS0rUYsHumN5lJgmyBZ+skVAd+uZiFJhUr+Ys2wzuINqS0J3YRljy1YQyc6mQPSx4MhbONyDuoXWOXJG0uetzGqbcwxPz6iLLnpePaat6l2VlhCiqTxuhRmlnY9igtnKcrwLa/BbcjBPTNN46FWsPtWdOhIfnuuO5VFqUuOQLwTOZrW1nVJlXLfYZqT6K4pKE1lKAHPcyh2JFmETYUpM4wnY4WBk7Ufx9gXJPdSnH5MpXjowbSsk6/waJp8bwTerglmbfrA3oK57DXYmEaPoLAeToxaGukwcCZdgEjHKzONkiYDeWxNU4H31q191/exnP/tAXZmaTmjgxbM2Xz8e12YwGKStrY3Vq1fPneMWHzDXTgP9/X3ULwyw0OPR3ZtVVSSsP2DrzJmEQp00VoaoGR+nvUyFVXxEmzp6Jk41fbzQGo86IgEVfEY17N6C1thTAx/ESxsAWVmJx+9nxO2me9QCmFkZ7CJfSnIB/czTDGPV9lda2srIyLFGlUjM5gBZWW4qKtwIEWbZMjPFxQsoKCjCrlUrPPbY3LfW1/Pgjma9pO73v4cvfSneADrerBnU4at798KFF0KJt0ftiPKZz6iwO+cafL4ppqf7qK5upKZvB6xezRMvqENYN14YUy+y3c6oo4B9+wZYvHglSyZ2gd1Oj6OZxVUh9ndYaV6o/r7acvKYnS2hqqpQh92oWe2jOT4eB17c9fbd73535P777/+b4eHhV45xoU5ZxV2b27Zu3bruWK5NKSX79u2jrq6OrKyspNf+sflRAMrM41TU+Ig0VtP5VBiH8FFjGWQybjGo24zhVDyMLltBpKwQ88udFMUnqgN6bCkkLVhFmJWWhMdCc+f5ZBYVphHduotgIiQtmIiyzNqnb69lg87IHGSuncnFS4mU5iFiUbL8Q8S6o2SPj6PEe/AZk2U0aXA7/IlzqX1J7XmsJZEkjithnUVsNmZLSxFlufhznSCh4EgfxYcPEggmtuuLqDfSUalgEjGK49mV2jlpGoyWJLVRAzAT1UGZLQKYRFQ/Lo+9kLF1H2Hq1SkKJtU1kqvM4o7lEZUJN6YjJ0TRBSUMPusm7FOPYyqWx2C4JAl2OUuzoDCbQ68JHXZ5ipcik5sYil6K8HDbJrZv3x687rrrfnzgwIHb51zID0AnNPAAFi1a9Kkbb7zxgVtuuaXoWNtOT0/jcrlobGyc+2J7O33T0wxRjt+/UAVURwee+hatUkB/DlSQhcMDVBcMUe9yoQDt9Zt0N9mm+vaExQPceZfCWWfBepcKtyfKEtCrr4cGVFdf+5qEmzLOR+503Jk4TqeTKPCt/s3k5bnJyfGisf6vqruxA3YpsQM2QDn9dIQQdBw5Ql1lJUOxEgrdHQQiEfVfNEoomvAi2M1mnDYbzp4eLJBs/hlbwGimY2srD7qvVC25zyaC9x57ieoKdjph3ToefFjRm1Cfc04y7J54Ui1dKCtzEYnMUFlZR+WhV3TYbdgAeeM9arCtr093Y2ZnTxEb2s3KkhJ6c1cRCKhF4/tbFZoDO+krqeDIkSiLFtWqbpZIRIcdxMcEWdUvizfeeCN87bXX/vStt95KriLOaI6EEBWbNm165bHHHlt0rBvNcDjM/v37WbVq1ZypCv/Y/CiOSjO1p8ewvtDKZMSp12hlK2qukJY5qUFvpGgR8sxq7H9qBX+EXKHeWM5IB07FQ0haqDapwNH6QEYxEZUmHRiQgFIEU9KEbw0SWuIHgF9mIYWgoNTP9IIqPMUVRE1mBJIj/lKU2QDKjB9lNoDwBqiQQwgZY/hjLZS+thMUhbDFTsSRTdiRQyQnG0duhLBQ//bMwQB5I0OIETfuaTvC8PkrrN2MxkFVpCTq+aKYCEkru0Mr9bjmx+276I7U6uegza4DFU6QgJ1Pqj01neUS9xlNTPxxjKKQun5zlVn6IlV63HMwUqq7MU3ZCuUXFtD/jIfxeCLPWKQQh+Kj2jKMuchC/honbU/JtLCbiDr5efvFALjdbs4///ydu3bt+tgH7crUdMIDD6CxsfEn//mf//ml9evXZx1r28HBQQKBwJx+m319fTA0xML8fNppSHTWj0tL1kiFntU6hc/XyznKJNlxq1Cv5yNecxYvpNv2oqKWKcTdlpSVwYYNPPGC6srY1GEAWzwg1+6u0IELcM1nk0f0aJJS8vpACbFYgGg0QCwWJBYLUuXejwRGgDJUa9AaCGCXElsshl1KrDYbc762tAwQSMDt/vvZv07tOqFlSQLc/iVDlprW8HLvXrjsMra9qOic3LQ07tp0OOCVV/TJBzZbhIXK8+QqCuaVF1DR/XJ62AH09SWmIYzvZEoI2oI2CgpW0rhC6nV1k11d7I8Usnx5gw47zd0JcdgBWK0MDw+zcePG7Xv27Fl/qrUPe6dauHDhxZ/73Oce/t73vld6rG1nZ2fp7u6eU5Q+NTXFf/3gOXqf9lFmGqfcPIorUoYrrHZcqLUMkm+amQO9Dks9+etLUd46gs01Skha9CndRngZwReSFt1lGJUm/XG5eTTpPRpoFju655zHQW/dnOdKbZOEchwEcxyEcnIJ5eTQKZeCosDSIjg4DjFJQWQSk9eHMuvH5PVTGBjTz1NTtvDrblaHksgG1VyRqTE7DXTV5qE524/HC8qNsNRgNxEtwCftzK5ahqXAzPSfRlkgVNeoEXaj0aKkRtCgujHJMlF6YTFdTwcZ9BTGj9fHIucoFefns/t3Jgb86WEH8PP2i4lGo1xyySUHn3nmmXXvxyTz49VJATwhhNLc3Pz07373u/MXL1589FtO0AdX1taqgw374p01Fi5cqLs3n+hQJ2VXVcXjdw7HXOjFLbitu7KQspOlVWZq29sRVVXspEX/vBZXAnxJALgsBvffr4PvznsSMYnbq9QkFQ0KoNek43bDvVUGOMa17ay5XgGtW8vYWCsLFqguzdSQZ96z/83++iuTnmsuHuT2e9TMVuMQ1NWr1f+Tyh+amnTQPfjCYt0obGpSj1UHnculf/gT3WpSzNpzRunftYvlNhvteSpYW+o9aWG3c7eiJ3a2sFN3Y7rdU5hN/awsK0MIwZiw0N09QHb2SjUj8yiwCwaDXHDBBQdeeumlc6SUCT9ZRsfUihUrvvP973//G5s2bZp/jElcU1NTuFwumpqaEEIwNTXFwMAAK1eu5NZVarlMs62TnnC1nhAxFimcA72glnCiBLCvKSEnL0roFRemSBirCOuWjNYyyyrClCrjutVjEtEk8Gmjb9TXEq5RYxmEBhNvbG7YMl0cUbPEuj5xActfek7/3FRpiTBGaTFIv0zcu2tu09FocZILtcI0ikOZTcpStYowfZEqHXSAfi4lpnEmogW4chaSu7aEQNsUoV6vfsxHg11YmjGJmO7GtGRDzYW5vPmkGWvAjyULPvLXfoafnaLNvRBvLHte2AF87WtfO/L4449fOTQ09Nqci/AB6qQAHoAQIuess8569fnnn181p7tKGvX29mI2m4nG3XkLNQsCVOhVVeEhj9271d6Wc6CnWX/Dw7BmDdt25xGJjLLA2UddJEKkSa1ce+GFBGBaXE+ws0pNLNFcnw5HHHwGaZYgxDu1aIqXCRjjfEZpkEzaV7xmUEtaAdImrhhPX9Pa+rjlZjQxjQXFWtNP4MHf5BEIqN1MzjlHjd097WpmY9V+HXSehc0GaEeoq+ska2CARStXsutIpT6fsKMjfs3TwG7xeKLYvqe4RXdjTvX2MjA+TvniOrq7D/ORMxtR+vvVC2wsUTDATkrJNddc0/+HP/xh4/T09Nzsg4yOKiGEaGpq+q9f//rXlzc1Nc2trk7R5OQkg4ODVFRU4HK5WLlypW7x/WPzo0RRsIsQFeZRBiMlaaGnxKHkj9nJUgI4CiX2cyoI7xulclDNhNSsNJ+0k6vMJsXPnIqHUmVct3S0SQkA1SbV0NDABwlXIEBhdnK9HUDHTMOc5zQADaz7BNUvvgSo6f+p6grPbZGovTdKomeuO5ang06zAAGq4m7ZkLQQklY9yacrrCbRakX5E7EC3Tq0nFaCuciG2N7DTFBdy5qlmKUE5rXstOs+HFHvfscihVizJR+5JEDnC5LTz/fT96wP94wK6sPhChZZXGlh99BDD0398Ic/vKOzs/NeTjCdNMADsNvttRdeeOG2J554YvGxmt0C7Nq1C7PZzGmnnZb8QnvClempapgXehAH3/Cw+ry3BSnDlHqexAHUVlQws0LtfKKBr8Ubt4zKytjpbdDBd42x6ddnP6s/3PZi4jw0yKbW30Hy5PQkxev3WoWgSftdpstqHR+f/zljhfuOHfrPW36fuLstLk6Ajr17E6agy4XnnI1JzGzOeZ1+r5flUuJoaGBbR2IuYUX3y+jTZc85Rz3fFNhpoIN4o+f4cfbOhujq6mLD+o9jGhiA4mLaXXk0LA0xOG5Ngh3AXXfdNfbwww/f2N3d/V/pL15Gx5IQwnrGGWe8/Nxzz31kzvDlNOrt7eXw4cOsXbt2TvLY/2n+GcC80NMKnbUv34g0YxYRspUAFS1WYg472a+1E4vzTQOfFsfSQGes3dOkWUdAUtKLyQDYdLLlTM957oVJdX1EzluBeauaeGgsZtdktC41NVgSrlQthgZwKKJ6o4zgLDFN6HMDtTE+oFqEuWI2CXSRPAd5axcQaHNj7xtiRuYQkwpBaSUszXrGZRhzWthNRJxMxfJwKD69pMCh+MgugI9/MUbnL6cZH7ExFc3Tfz8FioexqLqtBrvXXnst+Hd/93db2trarkt7QT9gnVTAA6iurt6wefPmLceanae5MaPRKBaLZU69UCr0NA+mBj1IxPXKyuJJJ16vnpUZiYyyYPZVqqRkQVUVnvoW3bJqqI9nGw4PQ1kZW3Y3JFUYbPKq8NOsM01prb647iR9ktPttybPwwPmxP/0k0jRT+5Jf9OgJYNeeCGUDO9PvBAHnWdhM3v3JoxBrQyjJf8NDk1PkysE/pJ1CCEYHlarFdYWt6vgcjrZNq66O9evi7Fzt8Lq1WDdmww7faZhPBFiTFg5ePAwdcsqONLZycqVKzlwJD9p9qE60VaF3TPPPOO75ZZb7jlw4MA/pj3JjI5bQoiSDRs2bH/66aeXWyzzz4vV3JgVFRUMDw/T2Ng4p+2fEXqaspQAwZj6eysyu7EQwaH48Ek7EWkmT/HijWVjLrRSe7YZ8/AUtv29xKRCZzhRMhiWFuxKUK9RM0IvS4m3zpKK7g6FhHvSaHEZlQpOgImoGj8zWngD0blfRyWmiTnPmdUUG4CkKQtak2cgqbenT9p10I3HCjgcrtTPx0SUkC2L3LOKUEww/coEMhjDHB/SqmVLxlDUGwcRUPdngLsRdhYihDHjj9lxKD7djel6OcCCj+ez+38tRPzq7MPJqOrldppmddi5XC4uvvjiP+3bt++vTpQklVSddMADqK+v/+a3v/3t26+++ur8dK8nxezS/JykOPg06LXUx//A4/Ta6VVrzXToxeN6215UkFISiQxQ6nuDhbOzvFmRsNzKyhLgG3QmLLYXXkiU1xnblBkzPjWLyKjUlmJAUsG73d5KIDC/SzOd0ed2J4rZ88Z7Ei8YW7oYsjhfDrTEPyveqi2gvme/txzT5OuYo1FCJWsxmRJfiuPjcdhFIrBwIdt2q1bj+vpEvZx1r9oBpydQkYCdW3U7h+x5uN2THDrk4iNnNqD09zNltbKve5Jly1ZSKeL1T4ZOO52dnbErrrjiqbfeeuvSU3UKwrut4uLiNZ/61KeeeOCBB6rTvW6M2QkhmJyc1GN6R7P0AL391HjUSYHiocjsBlQLwiftjMTdbDmKTy2Wrsmm6nQF66FBZOcYAnBFynVrJywt5CszSZ+pxc40azBVdeaeOc+ljv3RpM3xmzj3TIr+tAtIb82li/9Bwho0JqkUmdx6Mb5WX6ftwyezOByu1OvbzCJC1GSm9iwT5jwzntcnibrD9ISqsCnqPgoMoFZEjGxDfZzWPSUd7GJSIYZCriNEy8UJN+asLZdVF0v2PSkYnlHP6387z9U/w+/3c/7557e+8sorZ0sp03S/ODF0UgIPYOXKlVvuvffeKz7+8Y8n/VXOB7f+/n78fj/Lly+f22zaUKcH6AXqRuiBwa344ov66HIVfFEWev7ALLC4tBSH2axbgpAMK60VGSSmlQOJOFq8NjBVLVVpEp0MZQR6azFIW6+XtuUYJNyaxswVl0sHsJaRCiroVq+Og87lIhyLcSgnh+jEBNGKdZjNiV9FVVXc/akpDrviYjVhBpcrke0Zh51mMWqwG/TmMTo6xOzsJB87qx5x+LDuxjSbpwhMdLCypgZh6Lk6PDzMJZdcsmv37t2fyPTJfHe1fPnyz3/hC1/491tvvXWB8flU2Glyu9309fXR2NhIqmWoQa/akvBGuKN5jEedeKIOVth6yFICupWSr3j1WJEGvtqGIJFl5dA6RO6AulZd8UQRI6yMFpPRYjNadUb4aCoyuY96PQLrm7BvUycWVKQpNNeyJY8mzaVqtDzVovKES+itoJo9ahYRCkwe8k/LxVyRg2/3OLPDsSTQadab1g3Foaj9OjXYTUVVWOWZvPPCrqp0mtpP2Bh6dorp2SzdjWnOEtRttLDjf208ticxvy8SiXDFFVf0Pf/88xd4vd6uo57wB6yTFnhCCKWxsfGxhx9+eONZZ51lg2NYcqhz9I4cOUJjY+OcmiFtlh6opQJaY5EKhwq+pLjeOoPLct06du5WR9hEo2Gs8gDBQ4eoXrCAAquVwaqWpI+p6IjDb80avVzBqCSrz6An3HMTWTZVJRI8Wj0emrTWaumabjalL0pvH09khRk9oRpLq6oMVi/A3r34olEO5+TQO55FaeliLJYczfOogs4Vt+iamujpU/RDqq9PuC5ZvZr2biuRiOq11BhdEeiB4mKOzOTicnWTm2tihU2qX6Rx2GluzCmvl4FAQP+iHR8f5+KLL973+uuvnyulTB5SltG7ovr6+m/ccMMNt339618vgvlhp8nv99Pe3k59fT05OXOzIC+sUyd9X+RQ59V5og5iKPSEqlhh6yFPUf+Wp2J55Mcfa+ALSzMIaFzjxVaVhalnDEd3L0ImW1fGjEZjUojmWjT24jTKmPBilDavz7e+mext6k1dOtenVYTYG5obj4/K9O5Tze0K0BVKuGptIoTdFiH/tFysC6yEW8eZ6BMUKNO0hpapxxqzEkPR59aBWvQPybCLopAbh2BfuAILET0zNobCsvoZCpZb6P+jlyP+Eiwi0RN1MpqLLTvGbQ87aWpqwmazEY1Gueqqqw6/+OKLV4yMjOxKe2InkE5a4AEIIUxNTU3/s2XLlvMLCgosMD/sNM3OztLR0cGKFSvIzs5OvDCYYkGVldHeoahfro6EtZcOfJplqHEmOzuCw9yN2+MhECvH4ahAUUxJhpced0IdWKtJm3x+PNryi4SryOjSTKcNG9SGKKkyJmUavKrkkbyApZSMxZsGD7oLKS2txWy2J0NM89XGd9TTp6gDWIFQRFG3W72aUbfaGiwSic/IAwaLm3XYtfZnMzXVRnV1OQtjXh10QHLMrqJC/8Ktqqri4osvfuvPf/7zeR/EYMlTSStWrPjWzTfffMsVV1xReDTYaYpEIrS1tVFRUcGCBUnGoQ48gDX2ARaYJ/FE1b8j7Ys7hkKe4iVfmaEvUkm+4tVHDwH4pZ0wZhrqpzAvL6DIM4S9tReTL0BUmnQ3ZrqyA0CfKpAqo2vRKM1i1CaeH02vBs6Y81yleUS3LrMMNYKHwrX6YzVGF8O8wEZOcz52U5jI/lEmhi0EpJVI3C05Gk8wsYiICidi+vBVUAewTsccuhtTg53WzaUnpMY6bCLE8rOjxBCM7vDRGayl0JRwC2sxu//tPJdgMEhraysNDQ1cf/31/Vu3bv3skSNHTopG7Cc18ACEEJbTTjtt6/e///2PXXTRRelvnVKkLcCqqiqSMs/SQA9IkEwLjtXX69mV9fWJWXusWUN7h6JvfqbrCSaBQSFQgGDtJ7DZChBCqPFATQZ3ozaGKFV6kbtR2uRYkpNWPN65ySi7d8P6c+amTtPdnd7d6XTCmjXM+v281TvN5KQfk6kYs7mMj39cvcwa6EKrVSvW2q3GOHv6FL2cgI4O9NYn9fWMuq26JanBrt2sJrE0VHnY12vB7W6nrq6OMt/oHKtOlyFm19fXx+c+97nel19++WNSyjQZOxm922pubr7ryiuv/PtvfetbtmN1YwH1hqm7uxuTycSiRYuSAGmEXqkpTLVlGIXEjZ9D8akF0SQ6qHTGLaA8k1fPOvRLO2Fp5vTyHsTKMsiyUNh7CGvfMCIaS5tJqe5/7kggSBSEp0pr4WXasIToC4fizy1Iu21AzrUS/TE7p9vUKhljVuYbwZXqPMEsE1l1udgq7UTGA/jfmmJmVq1TjEgzURQ9gzUizYSleQ7oNBCGUV/XQAcq7LS4aXeohixLiKYLJeMHY3i7/TrsfNKOJ54SayV7Tszu2muv9b766quXuVyurWlP/gTUSQ88UKG3cuXK/3nkkUfOO/PMM9P7IVIkpaSrqwu73a4XqOsygM8YT2up9yRnhNTXMzisLjbdCvR69fo17TWA4h1PMCwEbuAQy5CyGCgGzHpCiZ4lmqJ2R0tS2r+maxwJCCaVJaSL4YGe8Zgkr5ee+o36jwcOSKScQsoRTKYQiuLAbC5jw2JDjCIe99NA192dXPVQXBxP8IlnZY6WNes3AVoCkJb92W5WX1u9GqamJuns7KepqZFCs3rneyzYTUxMcOmll7716quvXiClTO7gm9F7qhUrVnz3pptuuvGGG24oPPbWqoaGhpiYmKChoSEpmSUVeufnvAokwBbGTIHiIYaix6VArRtTiJFnSnZ3AjjMPlbUuRG1BWBWMA9PIbrHEL7QMWNrkEh0SdVAVP37E+ctRW7tjh9HeuCVmdM7G4wu0KFICaLQjnl5IZF8BzF/hOBBDxMDxhijVZ8xaBYRTMR0F6gn6tCbdQekFU/UweFwhW7V1dn6gETNoQa7Xf4msnJjnHvxJL0vhYlOBOfALoR6rf/UeYV+LNFolM9//vP927Zt+8LJBDv4kAAPQAhhbmxsfPyBBx644Oyzz7Yd+x2qjhw5wuTkJPX19cmBdQ168WCWlrji9SYntGgZmFqTESP4jN1YjFmSpQOvMxEKMRoMMiQXYDbnY7U6+Witd27ja5JdnkYZDTOPp5W8vKM3j05XiielpKBglnDYTSg0RanDS6HDQUl+PlbNMoNk36fLRbujRd9ncTE02HsSP7hc4HQSqm/G7UYfwAvq5SwZ3q9bdV4vrFolcbXtIRyNUldRgchV3SfaZPn5YDcyMsKll1667/XXX/+rjBvzg9GKFStuu+666265+eab05tPaeTxeOju7mb58uUYm0ho0Ku3qun8NhGi2dZJECt9oUrCqF/gWmwqZrBUtIJpm8FiMkLtdFsbojwXsbQQkW3FOjODcmQKMTKNyze3QfR8Mk5FMNbhaZPEU6VlXqYqlJONuSwHc42DiMVGeDKEv8uLf0rqFqvmptSkJfBooDMRwxvLxqH4kkAHanxTuzGotIymhV11XYjyJi9vPZNPdXTguGAXiUS4+uqrD7/yyiufPXLkyEnXhP1DAzxQY3qNjY2//vGPf3zx+eeff8y+m5p8Ph+dnZ1UVlZSUpLyx28En9PJTleFbq2sdyRcmaBadJoB2ILBUquvZ2dHIohuzLiUBw4wE4sxFYvRFq1EHRwkUBQHJpMTRXFwXu6baY9bgw4ktxabT/XLI/h8PtzT00x7PMTiXWiyJyZwWiwUWCwoRveU1lolLmO5hObt1UFnuA6h+KgV7VpUVYHVPapnxWiwKy4Gi8VLb/s+aouLGYmq2WgNVZ5jwq6vr09eeeWVb+7atev8TMuwD1b19fU3X3XVVbd++9vfLjke9yaoX5xdXV3YbDYWL16c5OL8VP0LgJrBqQHMCD5NDsWHTQnpgJiIOnUYQiIjUdtWk02EMOVZsFRmYS3LQljV90enw4SG/IRH/NhCfgbCc2vrsgwtyRZcUMTYcyqcsw0JJ0Z5ZTZmhwl7uRV7uQ1TlqI2vJ0NERwMEHAFsIYC2JUgoDbT1ty3QJJrVwO+BrqgtDITh2C2COhWXb7JqwNOc3MqxLCICG3BpYStNk7f4GdoxE/3rizKzSGGIjZKTeGjws7v93PVVVf1vfbaa1eeDAkq6XRSA08IYQG+CRySUv4m/pxoaGj40Re/+MW/vfnmm4uPdwFKKTl8+DBer5e6urr01h7o4NvWUZGYkedKBt8cGfyR7Y6WpCTKdIkisVgMr8+He2YGr8/HmCfZFSmEgslko0KMogiBEALXzAyVDgcSiE5PE5SSaMrvVrFayTKZcFos5FksmLVrYziInvE84smu2vACXevXGRJq+vqSQDc4nOghunRpwuI1gm5nQAWdwwFFRRLveDvB2VmWl5fTNaOWdzXY1XqoQfvieWH30ksvBW666abt+/fv3ySlTJOSemwJIb4IOIEfZ2r1jl/p1hzA4sWLr/jYxz529yOPPFI7ZyblUTQxMcHhw4fnWHsa9CABvkVWl+6ytBDRLR4NZkboKMSSwKFtC8lWoLE4XOTbUMpzUBZkE7al3C9LScwfZXQ2HxmVyBgUN1kYbwsjFFhgcaNkm1HsyWkE/piNiDeKfziEfyhM1BfTj9lY9mDMEp2OJVqXapDT5I5DfCaWzWz8nMLSrFtuGugKTB79OQ2aXaGFFCwxUbVqhtdfiBJyOyg3B/U4oEVEGI2KtLBzuVxs3ry5dc+ePZ/6S0oPPuh1d0IBTwhxGfBJIA94HNgIhIEZKeUtQojvAiuAKeCfgUqgClgspfyRcV9Lly7927Vr137//vvvr7ZajyusBxyntUfCzahNRK+qSoDPaHkNDyeDwphQ0tGRXEGgW4wpMrpGAaSMEYsFWdkYJiYlMhaj+9Ahli1dilAUxidMmM02TKbkxZJuEKzxWDQZuV1SnFIrqM75AWAwol4fDXROJ1SMx2vvysp00HkWNuv7b1kdwjs7S1dXF7VOJ9GCOp2bGux06YV5Cdjdc889k/fdd9+v2tvbvy6ljAEIIVYAX0cNim4FsoDPAtdIKVuFEOuAfwHagN9IKV8UQtwJ7ADapZRp8ldPDb2bay4/P7/xtNNO++1vfvObFWVpOvvMJ83as9vtcxJajOBbau3XH1dYRvHGsrGQcPlpgHOaPHoWI6hf+JoFBYmRRJBoY5aqOWUGAsi2MGEuRigCFEHexwrxvDYJUUk2PqQvggwmJ7ocCZcmlRsYVWIyzPwzAG/c0HUFVHetVl8XNCTBaDE6Dfi+mD0t6AYiZZhtUHuujZFRHwd3ZlGoqFPpNdhpGompmZlG2L322mvBr3zlK6/t27fvciml3mvtZFx3x2wI+35KSvl74PdCiALgh1LKawGEEL8VQihABAihLkg3MIa6QDtT99Xd3f3zwsLCt/r7+3/961//uj41HXo+ZWdns3r1ag4fPkxrayvLly9HB2ZFhQ69PJeaZblmjRrD270bXHHQtWgZmE4nVVUVtHcoemaiEWotDgfEb2q3DTfMAZu+ndafM0Xbdidq8wIBO9MeJzBnULquo/Xc3rjaYE11GP4O7fYEeBYuZDBSgtsQC3Q6DaAbV+EGkGcP4bGXqKDrUK3F4rwAh9oOELRaaT7tNCbj5QkNVZ65AcaU8U7hcJivfvWrrhdffPG7XV1djxhfk1IeAL4c/xvZIqX8rBDCWOQoAS9gB7RMhD6gDvjf+a/Kh1/v5pqbnp5uE0KcvXHjxv958MEHz1qzZs38fcgMMpvNNDQ0MD4+zt69e1m6dCm58Tju4x0bdOhpcboy8ziD4XizZYtaV/dWYLm+vwrzKNlKAGc8kSMizfhiqsV2NPgZ5ZOpFh7gBRFLlBEIXx6Mqhmew7H0i8sSb/OVTsZid2/MqT9WREw/V3/MntS/0i5Cc0Cnve5QfHppAqg3pFEUWBKhdqVgxwseIu48ChWpTzo36jcHLpxzjA899NDUf/zHfzzW3t5+Q2q7sJNx3Z1QFp4mIcSPgF9KKd8UQnwcOF9K+W0hhCKljAkh/hpYKKX8yXHsq/j000//w6OPPnrmqlWr3hbgfT4fhw4d0u88k4rVDb04QW1NBqqlpHdkGR7WXaCgWoVGS8pY0K3VmaVTurZgAHneBKRa+/tp0vqFGge5GtROAw3e9Fak8UMGSVhU2rgebbfFxVBiN9z9xn2eGujGxxOWpNergm5BfpDBgwcZDYepra7G7VEXcyCQBnYpoAPV7bV58+auffv2fXa+2EH8b+IG4OdSyl/FLZPH4nea2t9NKaor5er0F+HU1bu85syNjY2PfPOb37z0mmuuSdv+bz5FIhF6enoIhUIsWbIkaZL65xr+kLStMV6nuSmnYnlzuo0Y0/WNylb8TEbTH54x29MoY8uu1BjekUj65Bdj/NAorX8oqFaYURokFREjX/Gq4IrLFAeaEYSapVtmHtdB5y+L0PQRhYGeKH17srDF767zTd4kqy4d6KLRKF//+tePPP/88//W2dn5f9OeACffujuhgCdUX8ZdwPNSyhfiJvElwP8x+nuFEGcB66WUc7ssp9+vpampacsdd9yx8dOf/vT8ZJlHHo+H3t5e8vPzqampSc6kTAGfsTAd4u7MuHlnBAkkuxGT3Jkppli66QmQDMzWgwdpWrYs7fuTZICLx55YoMZqi9SqBo3zJXZPIqgXb0WmuXaNoNNqDENLG3AfOsARv5/y8nKyssuYmBDY7Yk+nElKA7vW1tbItdde+8Ybb7xxqZRybv+mFAkhnpJSftK48AyvWYFfSSn/5lj7OVX0Xq05ULuyfPKTn/zG3XffXX48002MCgaDHDp0CCEES5YswRiWSAXfeTk79Mc+aWcwXMJUvNOKP2ZPAqMGQUhYjJq09lzAvFaZlgUJ0LBR0P504vtTq31LldEVa4zJeWPZOryApIxMDeAa6LT2X6CWIaSCzqjxAsnqs01MjMbY+3qQ/Ghl0rkZPzMd7NxuN1ddddXBPXv2XHu88+xOlnV3ogHvJuBzwC5gCPgK8HtU0/jm+L9qVJ/xTW+37mrFihW3nXfeeV+5++67q4x3jseriYkJ+vv7KSkpoaKiIrm7RAr4tBq9JKiVzd1Gk7Fmz9hjM10RuSYjpI4nSzNVxkoDu32e3p6pGxYXM0iFbkTa7XNBB9BjL2dk5DBVFQXkOWsSoDOPJgcu00AO1CSi+++/f+r+++//4/79+z8npQym3RCIf0lvAmzAflQ3yo3AIeBfgWXABajB8vuklC/Ot69TTe/1mqusrDy3qanp/kceeWR51XyuiqPoaF4WDXynZxkmn0Qd1FoG9ZKE1/3NSfszWmipmZXGjMj5si6NVtyyi6wcfCYBEluamXiAPm4HmJOBaUxcMVqCWo9LQO9zabTK0smZH6T6bCsDXoXdrwZwBJNBZ7Qo/9C5Lu0+tm/fHrzlllv27t69e9OxJpWfjOvuhALe+6GcnJz6pqamLT/60Y9WnXPOOcefzRKXlJKRkRGGhoYoKyujLD6FW1ca8EEy0CDeINkgrT0ZJPOgxZGyP4OMUxj6+1upqTk28PSZcZDca2zp0iSTU3NRgtoEerBY/Vnz0BqNSC2eCdBjr2B09DCK4qCwcCGTkyY1oScVdDAv7AYGBrjuuus6Ozo6vtXb2/v4MU8qoxNaQgjnqlWrHr3++uvXffnLXy443sxpo6anp+nr6yM3N5eampok8N3Q9N/64wWmSYrMbr09mdFqgrlWnSatcFtTX7gi7XaNtsSaKT6/mPE/piluTZEWb4RkKxJImryeCkxjTd1E1JkEPKPVWuAMUtFiIdfkY2rHNNHZKLsMbQaNoIP0sPP5fHzzm990bd26dUtHR8c/najjff5SnXLAA7Veb8WKFf+yfv36v32n1p4GvuHhYX0RJpUypIBvPrckpJmEYKCJVo+WTno5BMfRPFqTMXvOUGMHsL8jsTBSMzq1m3OHA/ICo4l2YUBsaooO4WR6ehSz2UlBQTVLQ4bM5eLi47bq7rvvvqkHHnjgpf37939eSume/0QyOtm0ePHiK+rr6//1wQcffEfWHqjutoGBAUwmE7W1tUkNqY3gAxV+DQZAjaS0Fnt5NpGObJzaMJ+lBslWWPkFToaec+s/zzddQRuSCsyx0pwG0Ka6UTXrVHvPLFOY4w2ta81+ympDlK6yYPd7mX7Tg39G0BvvjTkdcxwX6ABeeeWV0De+8Y39ra2tfzs7OzvPWJUPh05J4GnKyclZ0dTUtOXHP/5x89lnn/22rT1NHo+H/n7VT19ZWYnT6UxYfRr4UiDkqU9kZM5pGG0YW9DuTn+nmSqjS3O+zmKQnM+SykXjd1CqBaqPD9JA53DwZreZmZkBotEARUXlOBwLWBI8MPdDjS7ReWDncrm47rrrug4cOPCt3t7ex+Y/g4xOZgkhCpqbm396ww03rL3++uvfkbUHEAgEOHz4MIFAgJKSEkpLS/XYugY+oxUE6JMXIDkWByogNNVZ++b9XCOwUoE3HyinUubiGeNuqRaosexgf2A5s6iTGcxYKVBMLHYMUdxsJafcDIMePG95CUVMOuiM0mKK84HO7/fzD//wD65t27b9/MCBA9/+sFp1Rp3SwAPV2quvr79zw4YNV//gBz+ofCfWnqZwOMyRI0dwu93k5eWpiRra/lJdnQYd1fo7ikvT6AY1Au9oBl4S1IpTFmhqE2ljVfz4ODgchCMRdnX4mJ2doKbSQk1lpXqO6UYxNMx/XpqklDzwwANT991338txqy4z1ucU0OLFi6+sr6//l4ceemh5pWGe4dtVLBZjdHSUkZERbDYb5eXl5OXlIYTgS41pGq7Htcia3CfTaA3N5/aE5IzP6gsdDDybWGzz1dulJqcoKYkqxozQYEqz6aloHopJ0rR0jJI6BZOM4mmdITgUIow5LegebkvfgN4og1V3zezsbJq71A+nTnngacrPz2+sq6t75MYbb2y4+uqrc99uVlmqPB4Pw8PD+P1+bDYbpaWlCcsvFX6pJpnB7Xi0pBXjCJ+kLE2Yn3pud5I7Mmnw6/g4o2WJ2J1maIbDs/h8wwQCXoSwsLqpkKKJCUQ0mr4h9XGADmDHjh3hO+644+ChQ4f+ube397+O600ZfWgkhChYtWrVw5dccsnZt956a2m6eXlvR4FAgOHhYTweDyaTiQULFlBUVITJZJoDv1T3o7HvZmp9mlFGC2/lJyVvPZWwUOdLdIFk68/Y8iz1fdp25iwoWm6mpCaCjEHo8Cyzh3wEQhYGwonvB2MSzPGAzuVycdttt/W+8cYb/33gwIFvnQpWnVEZ4BkkhBDV1dWfqqmpueOOO+6ou/DCC4/dUv04FAwGGR4eZnp6GkVRKC4upri4OBF4Tx1LZNDRXJoNznnq8GD+0gSXi9HiBJCMQ19B5ZeUMQIBN9mmfkKRCDl2O6XFxeROxu9utamtcw7o+EB34MABedtttx08cODAr7q6uv5NSjl/0CSjD72ys7NXNjY2/uTqq69u/upXv1qYOh39nSgSiTA2Nsb4+DhSSpxOJ6WlpWhtz86r+9287/2off4+5PsNBe4fudjP608mPEJnZrWmewsAo4Y4njFRxSh7kULOcgdZhYKIXzLWFcM57NKtTyPoND3YdnyZ/pOTk/zTP/2T66WXXnqxtbX1llO12XoGeGkkhDAtXrz4y4sXL/7K97///eUtLS3vWkeaaDTK+Pg44+PjxGKqayMnJwen00leXh7m0dFj7CEh4+ii1GkJR3NrGj2VZSURvF4v7ulpPB4PcnoaAeRlZVGam4vNCDavdy7ojhNyoE6muPXWW/vefPPNJ9vb22+XUs4c+10ZnSpasGDBuUuWLLnrxhtvXLF58+a/2MuiSUrJ1NQUY2NjBINqdYvdbsfpdJKfn8/G5qeTts/GOe++WrLa9MfHm7QCah9LTUFpJcsJeZUKeRUCxapaib5JcHWYmJlI9ONUiM2JDR4v5EDNvrzrrrtGnnzyyZ179uy5SUrZd9xv/hAqA7yjSAhhq6uru72hoWHzv/3bvy2tq6t7ZxH2o0hKyezsLG63G4/HQzQ+wcBms2G327HPzmK3WLBZLFjN5uQSCIPr0zgAFkgy3cLRKIFQiGA4TED7FwohpUREozjsdpxZWeTZbGnHE+maJ+HkWJqamuI73/mO66WXXnpp//79t0gpj5/qGZ1SEkKImpqaK2tra2//1re+tfyCCy54V7wsqQoEArjdbqanpwmFVKBYLBbsdjv/8vdvMuuRzM6AzwvSkFN2XvYR/XHZBQUMP5cIOXeHEh4WxQx2B9hyISsPQjlWcvIkZgsIFLxuwbjLxMSgiZxI+k4smn7efvHbPr9wOMy999479Ytf/GJfZ2fn33s8nqOPZj9FlAHecUgIkdfQ0HBnc3PzRbfeeuvCVatWvTu3nvNISkkwGCQYDBIIBPR/4XAY4+/LCL/x8XGKDfE4OZHoAm9WFOwmE3azGZvZTFZ2NrbUUUCa3iHU0ml4eJgf/ehHg1u3bt2zZ8+eG6WUve/azjP6UEsIYVqyZMlXFi9efP1NN920ZOPGjfZ3y+KbT+FwGL/fn7TugsEg6b4jhRD6mtNe/+OWQ/rrsSgEZtR/wRkYmspl1iOIhueuOeMk8b9UPp+PRx991P3LX/6ys7e39/bh4eH0jXhPUWWA9zYkhMirq6v7RnV19eXXX3/9kssvvzzbZDId+43vg1pbW2lqenudVt4r7dq1K3r33Xf3dHZ2vrp///7vSCn7j/2ujDKaKyGEubq6+jPV1dVfveyyy5bdcMMNRY6jtc57H3UirbmBgQHuvvtu12uvvdZ68ODBf56env7zB31MJ6IywHsHEkIolZWVn6qurr5p3bp1S7/2ta+V/SWp1e+GPujF5/V62bJly/Rjjz3W43K5fnvw4MGfSClnP7ADyuhDp9zc3DOWL1/+nZUrV678+te/XnPaaae9tybfMfRBr7loNMrTTz8dfOihh3p7e3u3t7a2fvdY7cBOdZ1Q44FOFsXnsP0W+K0QYtGTTz55e21t7dlf+MIXFl100UX2v6SW72RSLBZjx44d0fvuu+9wW1tba3d397/PzMz8OTNQNaP3QjMzM28Afy2EcL722mtfq6ysvHzTpk2LN2/e7DS68z/s6u7u5oEHHhjcvn37oYGBgfsHBwd/K6UMf9DHdTIoY+G9SxJCmEtKSi6pqqr6XGVl5fJPfvKTlZdffnnenCGy75Her7tNn8/Hc889F/jtb397pKenp29kZOT3fX19W6SUnmO/O6OM3j0JIYTNZjujrq7uq2VlZc0f/ehHqzZv3lxSV1f3vnz++7XmotEof/7zn6O/+tWvBtvb2wdGRkZe7ujouC8TKnj7ygDvPZAQQjGZTKc3NDRcV1paenpLS0vlVVddVdbQ0MA7baV0LL2Xi29oaIjHH3/c/eyzzx4ZHBzs6O/v/9nExMTzR5tgkFFG77eEEIvq6uquLSkpOa++vr7q6quvrjr77LNN5nQ1o++C3ss15/V6eeaZZ/yPP/64q7e3t3d4ePjx/v7+x6SU6Yf7ZXRcygDvfZAQombZsmXXlJSUnF9TU1Pe0tJSePbZZxc2NzfrhbB/qd6txReLxejq6mLHjh3e7du3j/f3948NDw/vbm1tfRDYl3FXZnQySAiRX1lZuamiouLKysrKhatWrXKuXbu25PTTT1ecR2s2+zb0bq05KSWDg4Ps2rUr9OKLL452d3dPHDlypLO3t/fR6enpP2UaM7x7ygDvfZYQwgTU19TUrC0sLDy3uLi4sqioqKSlpaXgnHPOKWpubsZuf/ulR+9k8UWj0SS4DQ0NjY+Pjw97PJ7Xu7q6ngf2Syn9b/tgMsroBFJ8yG11UVHRRysqKi50Op2LiouLS5qamgrWrl1bcsYZZygFBQVve7/vZM1JKXG5XDrc+vr6JsfGxkY9Hk9rX1/fMz6fb3fGinvvlAHeCaA4BJdXV1d/oqio6FyHw1GYk5PjyM7OzsnKysopLy+3LVq0KLu2tjavsrLSVFZWRlZWFmazGbPZjMVioa2tjfr6esLhMJFIhFAoxOjoKIODg3JgYGCmp6dntr+/P+jz+Wb9fv/s7Ozs7IyqnQcPHtTgNn8zwIwy+hApDsHKwsLCj1ZWVl7gcDiqclQ57HZ7TnFxsX3RokVZCxcuzKusrLRqTamNa669vZ0VK1boay4cDjM5OcnQ0BADAwO+vr6+md7e3qDH4/H5/f5Zn883OzMzM+vz+doPHTr0bCAQeCPTLP39VQZ4J7jiC7MQKLdYLBWVlZXLc3JylphMpmzAClgAq5RSCCHCQBgISSmDfr//8NDQUNfs7OwA6jTr0VOtWWxGGb0TCSFygXKgvLKyckl+fv4ys9lcQHy9ARYppUkIESG+5mKxWDgSiQyPjIx0Tk1NHQYGgeFMrPvEUQZ4GWWUUUYZnRL6QAs3M8ooo4wyyuj9UgZ4GWWUUUYZnRLKAC+jjDLKKKNTQhngZZRRRhlldEooA7wPsYQQXxRCfEO8V+1dMsoooyRl1tyJrUzz6JNEQojLgE8CecAjwKb4Sxviz88AdwNR4KdSyj8BS4Ad8f+73+dDziijk1qZNffhU6Ys4SSTEKIA+KGU8otCCCvwWynlpUKIbwO/B9qAX0gprxJCXAfkx7fP/KIzyugdKLPmPjzKWHgnn+4A/m/88WXA/8QfVwEDUsqY5k2RUj74vh9dRhl9+JRZcx8SZWJ4J4mEqn8HnpFSvhl/+jPAf8Ufu4AqIUTmd5pRRu+CMmvuw6eMhXfy6EbU2EG+EGIp8EfUVmHaVPFHgLuACPDwB3OIGWX0oVJmzX3IlInhZZRRRhlldEooY4pnlFFGGWV0SigDvIwyyiijjE4JZYCXUUYZZZTRKaEM8DLKKKOMMjollAFeRhlllFFGp4T+H1FGHU7oJV/rAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 450x250 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def waveform_cross_section(ax, i=0, envelope=False):\n",
    "    \"\"\"Plot waveform data (or its logaritmic envelope) as a polar plot at a given depth index\"\"\"\n",
    "    \n",
    "    # Get the base data to plot\n",
    "    times = us_t[i,:,:]\n",
    "    if envelope:\n",
    "        data = 20*np.log10(us_env[i,:,:])\n",
    "    else:\n",
    "        data = us_data_reeq[i,:,:]\n",
    "    ang_mesh = np.repeat(ang[:, np.newaxis], data.shape[1], axis=1)\n",
    "    n_ang = data.shape[0]\n",
    "    \n",
    "    # Make some transformations of the data to ensure that the pcolormesh plot function plots each\n",
    "    # sample as an isosceles trapezoid centred at the sample's angle and time.\n",
    "    \n",
    "    # Repeat every element in the base data twice along the angle axis\n",
    "    ang_mesh = np.repeat(ang_mesh, 2, axis=0)\n",
    "    times = np.repeat(times, 2, axis=0)\n",
    "    data = np.repeat(data, 2, axis=0)\n",
    "    data = data[:-1, :-1]   # Used for trapezoid centres; need one fewer value than for trapezoid corners\n",
    "    \n",
    "    # Shift the coordinates so that each trapezoid is centered at the sample's angle and time\n",
    "    ang_mesh = ang_mesh - (360 / n_ang) / 2\n",
    "    times = times - 0.25\n",
    "    \n",
    "    # Roll the azimuthal mesh\n",
    "    ang_mesh = np.roll(ang_mesh, shift=-1, axis=0)\n",
    "    ang_mesh[-1, :] += 360   # Ensure that trapezoid corner coordinates are strictly increasing\n",
    "    \n",
    "    if envelope:\n",
    "        vmax = np.max(data)\n",
    "        return ax.pcolormesh(np.radians(ang_mesh), times, data, vmin=vmax-50, vmax=vmax, cmap='CMRmap')\n",
    "    else:\n",
    "        vmax = np.max(np.abs(data)) / 5\n",
    "        return ax.pcolormesh(np.radians(ang_mesh), times, data, vmin=-vmax, vmax=vmax, cmap='seismic')\n",
    "\n",
    "        \n",
    "i_us = 4150\n",
    "\n",
    "fig, axes = plt.subplots(ncols=2, subplot_kw=dict(polar=True), figsize=(9,5))  \n",
    "\n",
    "ax = axes[0]\n",
    "pc = waveform_cross_section(ax, i_us, envelope=False)\n",
    "ax.set_title('Waveforms')\n",
    "\n",
    "ax = axes[1]\n",
    "waveform_cross_section(ax, i_us, envelope=True)\n",
    "ax.set_title('Envelopes [dB]')\n",
    "\n",
    "for ax in axes:\n",
    "    ax.grid(True)\n",
    "\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that the FIE is received at different times at different angles. This reflects the eccentering of the USIT; where the tool is closer to the wall, the FIE will be received earlier, and where the tool is further away, the FIE will be received later.\n",
    "\n",
    "**Waveform summary:** The waveforms recorded by the USIT are organised into channels `U001`, `U002`, `...` according to the azimuthal angle at which they were recorded. Different waveforms may have had different gains to them, and these gains can be compensated for using the `WAGN` channel. The recorded waveforms are stored in such a way that the first interface echoes (FIEs) are aligned with each other. The time axis of each waveform can be found through two steps:\n",
    "\n",
    "* The time of the first sample for the waveform at $i, j$ is `WFDL(i,j) + USTO`.\n",
    "* The waveforms' sampling period of 0.5&nbsp;µs can be used to find the time of the remaining samples."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simple reprocessing of the waveforms\n",
    "\n",
    "Now that we understand the ultrasonic waveforms better, we can look at a simple example of what we can do with them. We can investigate a simple way to draw information about the well status from them and compare with the reference information present in the log file.\n",
    "\n",
    "First of all, let's look at a waveform and its envelope."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "us_env_dB = 20*np.log10(us_env)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 200x300 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=2, figsize=(4,6))\n",
    "\n",
    "ax = axes[0]\n",
    "ax.plot(us_t_rel, us_env[i_us, j_us, :], color='0.6', label='Envelope')\n",
    "ax.plot(us_t_rel, -us_env[i_us, j_us, :], color='0.6')\n",
    "ax.plot(us_t_rel, us_data_reeq[i_us, j_us, :], label='Waveform')\n",
    "ax.set_xlim(0, 60)\n",
    "ax.legend()\n",
    "ax.grid(True)\n",
    "ax.set_ylabel('Waveform [arbitrary units]')\n",
    "ax.set_xlabel('Time [µs]')\n",
    "ax.set_title('Linear representation')\n",
    "\n",
    "ax = axes[1]\n",
    "ax.plot(us_t_rel, us_env_dB[i_us, j_us, :], color='0.6', label='Envelope')\n",
    "ax.set_xlim(0, 60)\n",
    "ax.legend()\n",
    "ax.grid(True)\n",
    "ax.set_ylabel('Waveform envelope [dB]')\n",
    "ax.set_xlabel('Time [µs]')\n",
    "ax.set_title('Logarithmic representation')\n",
    "\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The waveform contains a strong initial reflection from the fluid-casing interface, followed by a decaying resonance of the pulse component that was transmitted into the casing. [From the literature](https://www.onepetro.org/conference-paper/SPWLA-1991-KK), we know that this decay should be at least approximately exponential, and that the decay is faster for higher-impedance materials behind the casing. And if the decay is exponential, it should be approximately linear on a logarithmic plot like the one shown here.\n",
    "\n",
    "The impedance behind the casing, which is available in the `AIBK` channel, has been found through the aforementioned [T<sup>3</sup> algorithm](https://www.onepetro.org/conference-paper/SPWLA-1991-KK), which is relatively complex. We will not try to reproduce it here; instead, we will try to get similar information through a linear fit of the logarithmic envelope, which has also been used by [Sirevaag et al.](https://www.onepetro.org/conference-paper/SPWLA-2018-I) to investigate the impedance behind the casing. This gives us a decay rate $L_1$ in dB/µs, which we can then compare against the impedance in the `AIBK` channel.\n",
    "\n",
    "We first show this for a single waveform envelope as an example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "L_1 value: 0.158 dB/µs\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 300x200 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "i_us = 4150\n",
    "\n",
    "def fit_decay(env_dB, env_t, fit_slice):\n",
    "    \"\"\"Find a linear fit over the fit_slice indices in env_dB and env_t and return it\"\"\"\n",
    "    return np.polyfit(env_t[fit_slice], env_dB[fit_slice], 1)\n",
    "\n",
    "# Specify the range of the fit\n",
    "t_fit = [20, 40]                                   # Time range to carry out the fit in\n",
    "i_fit = [np.argmin(np.abs(us_t_rel - t_fit[0])),   # First sample index of the range\n",
    "         np.argmin(np.abs(us_t_rel - t_fit[1]))]   # Last sample index of the range\n",
    "fit_slice = slice(i_fit[0], i_fit[1] + 1)          # The range expressed as a slice object\n",
    "\n",
    "# Get the linear fit and evaluate it at the edges of the time range\n",
    "fit = fit_decay(us_env_dB[i_us, j_us, :], us_t_rel, fit_slice)\n",
    "val = np.polyval(fit, t_fit)\n",
    "\n",
    "# Plot the envelope and the fit\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(us_t_rel, us_env_dB[i_us, j_us, :], label='Envelope')\n",
    "ax.plot(t_fit, val, linewidth=3, label='Fit')\n",
    "ax.set_xlim(0, 60)\n",
    "ax.legend()\n",
    "ax.grid(True)\n",
    "ax.set_ylabel('Waveform envelope [dB]')\n",
    "ax.set_xlabel('Time [µs]')\n",
    "\n",
    "print(f'L_1 value: {-fit[0]:.3f} dB/µs')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We then find the decay rate $L_1$ for every waveform in the file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "us_L1 = np.zeros(curves60B['AIBK'].shape)\n",
    "for i in range(us_L1.shape[0]):\n",
    "    for j in range(us_L1.shape[1]):\n",
    "        us_L1[i, j] = -fit_decay(us_env_dB[i, j, :], us_t_rel, fit_slice)[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can then plot $L_1$ together with `AIBK` to compare them:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 450x600 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(figsize=(9,12), ncols=2, sharey=True, constrained_layout=True)\n",
    "\n",
    "ax = axes[0]\n",
    "min_quantile = np.mean(curves60B['AIBK'] <= 0)     # The quantile at which we find the value 0\n",
    "max_quantile = np.mean(curves60B['AIBK'] <= 7.5)   # The quantile at which we find the value 7.5\n",
    "im = paint_channel(ax, curves60B['AIBK'], curves60B[frame60B.index], ang, cmap='YlOrBr', vmin=0, vmax=7.5)\n",
    "cbar = fig.colorbar(im, ax=ax, location='top')\n",
    "cbar.set_label(f'{aibk.long_name} [{aibk.units}]')\n",
    "ax.set_ylabel('Depth $z$ [m]')\n",
    "\n",
    "ax = axes[1]\n",
    "vmin = np.quantile(us_L1, min_quantile)   # The value we find at quantile min_quantile in us_L1\n",
    "vmax = np.quantile(us_L1, max_quantile)   # The value we find at quantile max_quantile in us_L1\n",
    "im = paint_channel(ax, us_L1, curves60B[frame60B.index], ang, cmap='YlOrBr', vmin=vmin, vmax=vmax)\n",
    "cbar = fig.colorbar(im, ax=ax, location='top')\n",
    "cbar.set_label(f'Decay rate $L_1$ [dB/µs]')\n",
    "\n",
    "for ax in axes:\n",
    "    ax.set_xticks([0, 90, 180, 270, 360])\n",
    "    ax.grid(True, color='0.5', alpha=0.5)\n",
    "    ax.set_xlabel('Azimuthal angle $\\\\varphi$ [°]')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Comparing the two, we see the same overall patterns, especially near the top of the log. But how well correlated are their numerical values with each other? To look into that, we can calculate some correlation measures and plot a 2D histogram showing the joint distribution of the $L_1$ and impedance values:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pearson correlation:  0.457\n",
      "Spearman correlation: 0.634\n"
     ]
    }
   ],
   "source": [
    "import scipy.stats as stats\n",
    "\n",
    "x = curves60B['AIBK'].flatten()\n",
    "y = us_L1.flatten()\n",
    "\n",
    "print(f'Pearson correlation:  {stats.pearsonr(x, y)[0]:.3f}')\n",
    "print(f'Spearman correlation: {stats.spearmanr(x, y)[0]:.3f}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 300x200 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Get a colormap that ensures that histogram bins with zero occurrences still have a colour\n",
    "cmap = copy.copy(mpl.cm.get_cmap('viridis'))\n",
    "cmap.set_bad(cmap.colors[0])\n",
    "\n",
    "# Plot the 2D histogram\n",
    "fig, ax = plt.subplots()\n",
    "hist = ax.hist2d(x, y, norm=mpl.colors.LogNorm(), cmap=cmap,\n",
    "                 bins=[np.linspace(-2, 12, 100), np.linspace(-0.1, 1, 100)]);\n",
    "cbar = fig.colorbar(hist[3], ax=ax)\n",
    "cbar.set_label('Bin frequency')\n",
    "ax.set_title('2D histogram of $L_1$ and $Z$')\n",
    "ax.set_xlabel('Reference impedance $Z$ [MRayl]')\n",
    "ax.set_ylabel('Decay rate $L_1$ [dB/µs]')\n",
    "\n",
    "fig.set_tight_layout(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The correlation metrics and the histogram all show that there is a clear positive correlation between $L_1$ and the reference impedance, but it's far from a one-to-one-relationship between the two.\n",
    "\n",
    "**Reprocessing summary:** While this is just a simple example of what we can do with the ultrasonic waveforms, it does show that the data present in these files lets us try out various processing algorithms on real-world data. One challenge with this approach is that we do not have access to a ground truth that we can use to objectively evaluate the quality of processing methods. All we have is the measured waveforms and one processing method's estimates of what the waveforms imply."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}