{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 50 Parsing Leapfrog Wells\n",
    "\n",
    "Leapfrog provides well data in the form of several CSV files. These include a collar file, a survey file, a litho file and an assay file. With GemGIS it is now possible to read in these wells and visualize them. \n",
    "<img src=\"../images/tutorial50_cover.png\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set File Paths and download Tutorial Data\n",
    "\n",
    "If you downloaded the latest `GemGIS` version from the Github repository, append the path so that the package can be imported successfully. Otherwise, it is recommended to install `GemGIS` via `pip install gemgis` and import `GemGIS` using `import gemgis as gg`. In addition, the file path to the folder where the data is being stored is set. The tutorial data is downloaded using Pooch (https://www.fatiando.org/pooch/latest/index.html) and stored in the specified folder. Use `pip install pooch` if Pooch is not installed on your system yet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-17T12:18:16.181625Z",
     "start_time": "2021-03-17T12:18:13.904416Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING (theano.configdefaults): g++ not available, if using conda: `conda install m2w64-toolchain`\n",
      "C:\\Users\\ale93371\\Anaconda3\\envs\\test_gempy\\lib\\site-packages\\theano\\configdefaults.py:560: UserWarning: DeprecationWarning: there is no c++ compiler.This is deprecated and with Theano 0.11 a c++ compiler will be mandatory\n",
      "  warnings.warn(\"DeprecationWarning: there is no c++ compiler.\"\n",
      "WARNING (theano.configdefaults): g++ not detected ! Theano will be unable to execute optimized C-implementations (for both CPU and GPU) and will default to Python implementations. Performance will be severely degraded. To remove this warning, set Theano flags cxx to an empty string.\n",
      "WARNING (theano.tensor.blas): Using NumPy C-API based implementation for BLAS functions.\n"
     ]
    }
   ],
   "source": [
    "import gemgis as gg\n",
    "\n",
    "file_path ='data/50_parsing_leapfrog_wells/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-17T12:18:16.479684Z",
     "start_time": "2021-03-17T12:18:16.214747Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Downloading file '50_parsing_leapfrog_wells.zip' from 'https://rwth-aachen.sciebo.de/s/AfXRsZywYDbUF34/download?path=%2F50_parsing_leapfrog_wells.zip' to 'C:\\Users\\ale93371\\Documents\\gemgis\\docs\\getting_started\\tutorial\\data\\50_parsing_leapfrog_wells'.\n"
     ]
    }
   ],
   "source": [
    "gg.download_gemgis_data.download_tutorial_data(filename=\"50_parsing_leapfrog_wells.zip\", dirpath=file_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading Data\n",
    "\n",
    "The Leapfrog well data is read in as Pandas DataFrames."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T17:15:53.119426Z",
     "start_time": "2021-01-20T17:15:50.338863Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING (theano.configdefaults): g++ not available, if using conda: `conda install m2w64-toolchain`\n",
      "C:\\Users\\ale93371\\Anaconda3\\envs\\test_gempy\\lib\\site-packages\\theano\\configdefaults.py:560: UserWarning: DeprecationWarning: there is no c++ compiler.This is deprecated and with Theano 0.11 a c++ compiler will be mandatory\n",
      "  warnings.warn(\"DeprecationWarning: there is no c++ compiler.\"\n",
      "WARNING (theano.configdefaults): g++ not detected ! Theano will be unable to execute optimized C-implementations (for both CPU and GPU) and will default to Python implementations. Performance will be severely degraded. To remove this warning, set Theano flags cxx to an empty string.\n",
      "WARNING (theano.tensor.blas): Using NumPy C-API based implementation for BLAS functions.\n"
     ]
    },
    {
     "data": {
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       "      <th>holeid</th>\n",
       "      <th>from</th>\n",
       "      <th>to</th>\n",
       "      <th>Geology</th>\n",
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       "      <td>UG_034</td>\n",
       "      <td>24.46</td>\n",
       "      <td>44.01</td>\n",
       "      <td>Arkoses</td>\n",
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       "    <tr>\n",
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       "      <td>UG_034</td>\n",
       "      <td>44.01</td>\n",
       "      <td>122.29</td>\n",
       "      <td>Quartzitic sandstones</td>\n",
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       "    <tr>\n",
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       "      <td>140.70</td>\n",
       "      <td>Quartzites</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>UG_034</td>\n",
       "      <td>140.70</td>\n",
       "      <td>180.00</td>\n",
       "      <td>Lower Black shales</td>\n",
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       "</table>\n",
       "</div>"
      ],
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       "   holeid   from     to                Geology\n",
       "0  UG_034   0.00  24.46           Conglomerate\n",
       "1  UG_034  24.46  44.01                Arkoses\n",
       "2  UG_034  44.01 122.29  Quartzitic sandstones\n",
       "3  UG_034 122.29 140.70             Quartzites\n",
       "4  UG_034 140.70 180.00     Lower Black shales"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "litho = pd.read_csv(file_path+'litho.csv')\n",
    "litho.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
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     "start_time": "2021-01-20T17:15:53.121413Z"
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   "outputs": [
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       "      <th>maxdepth</th>\n",
       "      <th>comment</th>\n",
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       "      <td>12172.83</td>\n",
       "      <td>30799.71</td>\n",
       "      <td>1977.71</td>\n",
       "      <td>180</td>\n",
       "      <td>underground DH, upwards</td>\n",
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       "      <th>1</th>\n",
       "      <td>RWTHO_006</td>\n",
       "      <td>12628.76</td>\n",
       "      <td>30259.13</td>\n",
       "      <td>2259.59</td>\n",
       "      <td>450</td>\n",
       "      <td>inclined</td>\n",
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       "    <tr>\n",
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       "      <td>SonicS_006</td>\n",
       "      <td>12012.68</td>\n",
       "      <td>30557.53</td>\n",
       "      <td>2325.53</td>\n",
       "      <td>500</td>\n",
       "      <td>lift</td>\n",
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       "       holeid        x        y       z  maxdepth                  comment\n",
       "0      UG_034 12172.83 30799.71 1977.71       180  underground DH, upwards\n",
       "1   RWTHO_006 12628.76 30259.13 2259.59       450                 inclined\n",
       "2  SonicS_006 12012.68 30557.53 2325.53       500                     lift"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "collar = pd.read_csv(file_path+'collar.csv', delimiter=';')\n",
    "collar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T17:15:53.150426Z",
     "start_time": "2021-01-20T17:15:53.137431Z"
    }
   },
   "outputs": [
    {
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       "       holeid  depth    dip  azimuth\n",
       "0      UG_034      0 -65.00       20\n",
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       "2   RWTHO_006      0  55.00      308\n",
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     "execution_count": 4,
     "metadata": {},
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   ],
   "source": [
    "survey = pd.read_csv(file_path+'survey.csv')\n",
    "survey.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting the first well\n",
    "\n",
    "The first well to be plotted is well ``SonicS_006``. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
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       "       holeid  depth   dip  azimuth\n",
       "0  SonicS_006      0 90.00       20\n",
       "1  SonicS_006     10 89.50       20\n",
       "2  SonicS_006     20 89.00       20\n",
       "3  SonicS_006     30 88.50       20\n",
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    "survey006 = survey[survey['holeid']=='SonicS_006']\n",
    "survey006 = survey006.reset_index().drop('index', axis=1)\n",
    "survey006.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Getting the coordinates of the well at the surface."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T17:15:53.181696Z",
     "start_time": "2021-01-20T17:15:53.166678Z"
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     "execution_count": 6,
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   "source": [
    "x0 = collar[['x', 'y', 'z']].loc[2].values\n",
    "x0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating the DataFrame from which the well paths are created."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T17:15:53.229750Z",
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       "      <td>88.50</td>\n",
       "      <td>20</td>\n",
       "      <td>40.00</td>\n",
       "      <td>[[0.2081993903819504], [0.3509757584484337], [...</td>\n",
       "      <td>-10</td>\n",
       "      <td>11999.36</td>\n",
       "      <td>30553.63</td>\n",
       "      <td>2289.01</td>\n",
       "      <td>[11999.362241836461, 30553.62717680744, 2289.0...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       holeid depth   dip azimuth depth_bottom  \\\n",
       "0  SonicS_006     0 90.00      20        10.00   \n",
       "1  SonicS_006     0 90.00      20        10.00   \n",
       "2  SonicS_006    10 89.50      20        20.00   \n",
       "3  SonicS_006    20 89.00      20        30.00   \n",
       "4  SonicS_006    30 88.50      20        40.00   \n",
       "\n",
       "                                              vector segment_length        X  \\\n",
       "0  [[0.36482400173640905], [-0.18285080511417406]...            -10 12012.68   \n",
       "1  [[0.36482400173640905], [-0.18285080511417406]...            -10 12009.03   \n",
       "2  [[0.4078265278090107], [0.014439265532404447],...            -10 12004.95   \n",
       "3  [[0.3509788964265648], [0.2081941003896598], [...            -10 12001.44   \n",
       "4  [[0.2081993903819504], [0.3509757584484337], [...            -10 11999.36   \n",
       "\n",
       "         Y       Z                                             points  \n",
       "0 30557.53 2325.53     [12012.68053, 30557.534760000002, 2325.532416]  \n",
       "1 30559.36 2316.40  [12009.032289982635, 30559.363268051144, 2316....  \n",
       "2 30559.22 2307.27  [12004.954024704546, 30559.21887539582, 2307.2...  \n",
       "3 30557.14 2298.14  [12001.44423574028, 30557.136934391925, 2298.1...  \n",
       "4 30553.63 2289.01  [11999.362241836461, 30553.62717680744, 2289.0...  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_survey = gg.visualization.create_deviated_borehole_df(df_survey=survey006, position=x0)\n",
    "df_survey.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating lines from DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T17:15:53.245754Z",
     "start_time": "2021-01-20T17:15:53.231732Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<table>\n",
       "<tr><th>PolyData</th><th>Information</th></tr>\n",
       "<tr><td>N Cells</td><td>52</td></tr>\n",
       "<tr><td>N Points</td><td>51</td></tr>\n",
       "<tr><td>X Bounds</td><td>1.200e+04, 1.202e+04</td></tr>\n",
       "<tr><td>Y Bounds</td><td>3.054e+04, 3.056e+04</td></tr>\n",
       "<tr><td>Z Bounds</td><td>1.869e+03, 2.326e+03</td></tr>\n",
       "<tr><td>N Arrays</td><td>0</td></tr>\n",
       "</table>\n",
       "\n"
      ],
      "text/plain": [
       "PolyData (0x2050be299a0)\n",
       "  N Cells:\t52\n",
       "  N Points:\t51\n",
       "  X Bounds:\t1.200e+04, 1.202e+04\n",
       "  Y Bounds:\t3.054e+04, 3.056e+04\n",
       "  Z Bounds:\t1.869e+03, 2.326e+03\n",
       "  N Arrays:\t0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lines = gg.visualization.create_lines_from_points(df=df_survey)\n",
    "lines"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating tubes from lines."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T17:15:53.261751Z",
     "start_time": "2021-01-20T17:15:53.247736Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table><tr><th>Header</th><th>Data Arrays</th></tr><tr><td>\n",
       "<table>\n",
       "<tr><th>PolyData</th><th>Information</th></tr>\n",
       "<tr><td>N Cells</td><td>22</td></tr>\n",
       "<tr><td>N Points</td><td>1060</td></tr>\n",
       "<tr><td>X Bounds</td><td>1.199e+04, 1.203e+04</td></tr>\n",
       "<tr><td>Y Bounds</td><td>3.053e+04, 3.057e+04</td></tr>\n",
       "<tr><td>Z Bounds</td><td>1.865e+03, 2.330e+03</td></tr>\n",
       "<tr><td>N Arrays</td><td>3</td></tr>\n",
       "</table>\n",
       "\n",
       "</td><td>\n",
       "<table>\n",
       "<tr><th>Name</th><th>Field</th><th>Type</th><th>N Comp</th><th>Min</th><th>Max</th></tr>\n",
       "<tr><td><b>scalars</b></td><td>Points</td><td>int32</td><td>1</td><td>0.000e+00</td><td>5.000e+01</td></tr>\n",
       "<tr><td>TubeNormals</td><td>Points</td><td>float32</td><td>3</td><td>-9.996e-01</td><td>9.996e-01</td></tr>\n",
       "<tr><td>Depth</td><td>Points</td><td>float64</td><td>1</td><td>1.865e+03</td><td>2.330e+03</td></tr>\n",
       "</table>\n",
       "\n",
       "</td></tr> </table>"
      ],
      "text/plain": [
       "PolyData (0x2050be29e80)\n",
       "  N Cells:\t22\n",
       "  N Points:\t1060\n",
       "  X Bounds:\t1.199e+04, 1.203e+04\n",
       "  Y Bounds:\t3.053e+04, 3.057e+04\n",
       "  Z Bounds:\t1.865e+03, 2.330e+03\n",
       "  N Arrays:\t3"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tubes = gg.visualization.create_borehole_tube(df=df_survey, line=lines, radius=10)\n",
    "tubes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plotting the well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T17:15:53.606417Z",
     "start_time": "2021-01-20T17:15:53.263748Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=1024x768 at 0x2050BDD8100>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pyvista as pv\n",
    "\n",
    "sargs = dict(fmt=\"%.0f\", color='black')\n",
    "\n",
    "p = pv.Plotter(notebook=True)\n",
    "\n",
    "# Adding DEM\n",
    "p.add_mesh(tubes, scalars='Depth', scalar_bar_args=sargs)\n",
    "\n",
    "\n",
    "p.set_background('white')\n",
    "p.show_grid(color='black')\n",
    "p.set_scale(1,1,1)\n",
    "p.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting the second well\n",
    "\n",
    "The second well that will be plotted is ``RWTHO_006``."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T17:15:53.621682Z",
     "start_time": "2021-01-20T17:15:53.608416Z"
    }
   },
   "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>holeid</th>\n",
       "      <th>depth</th>\n",
       "      <th>dip</th>\n",
       "      <th>azimuth</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>RWTHO_006</td>\n",
       "      <td>0</td>\n",
       "      <td>55.00</td>\n",
       "      <td>308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RWTHO_006</td>\n",
       "      <td>450</td>\n",
       "      <td>55.00</td>\n",
       "      <td>308</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      holeid  depth   dip  azimuth\n",
       "0  RWTHO_006      0 55.00      308\n",
       "1  RWTHO_006    450 55.00      308"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "surveyrwth = survey[survey['holeid']=='RWTHO_006']\n",
    "surveyrwth = surveyrwth.reset_index().drop('index', axis=1)\n",
    "surveyrwth.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Getting the coordinates of the well at the surface."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T17:15:53.637706Z",
     "start_time": "2021-01-20T17:15:53.623682Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([12628.75598, 30259.12988,  2259.59034])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x0 = collar[['x', 'y', 'z']].loc[1].values\n",
    "x0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating the DataFrame from which the well paths are created."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T17:15:53.669713Z",
     "start_time": "2021-01-20T17:15:53.639708Z"
    }
   },
   "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>holeid</th>\n",
       "      <th>depth</th>\n",
       "      <th>dip</th>\n",
       "      <th>azimuth</th>\n",
       "      <th>depth_bottom</th>\n",
       "      <th>vector</th>\n",
       "      <th>segment_length</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Z</th>\n",
       "      <th>points</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>RWTHO_006</td>\n",
       "      <td>0</td>\n",
       "      <td>55.00</td>\n",
       "      <td>308</td>\n",
       "      <td>450.00</td>\n",
       "      <td>[[-0.992088794420255], [0.021957082623147627],...</td>\n",
       "      <td>-450</td>\n",
       "      <td>12628.76</td>\n",
       "      <td>30259.13</td>\n",
       "      <td>2259.59</td>\n",
       "      <td>[12628.75598, 30259.12988, 2259.5903399999997]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RWTHO_006</td>\n",
       "      <td>0</td>\n",
       "      <td>55.00</td>\n",
       "      <td>308</td>\n",
       "      <td>450.00</td>\n",
       "      <td>[[-0.992088794420255], [0.021957082623147627],...</td>\n",
       "      <td>-450</td>\n",
       "      <td>13075.20</td>\n",
       "      <td>30249.25</td>\n",
       "      <td>2203.97</td>\n",
       "      <td>[13075.195937489114, 30249.249192819585, 2203....</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      holeid depth   dip azimuth depth_bottom  \\\n",
       "0  RWTHO_006     0 55.00     308       450.00   \n",
       "1  RWTHO_006     0 55.00     308       450.00   \n",
       "\n",
       "                                              vector segment_length        X  \\\n",
       "0  [[-0.992088794420255], [0.021957082623147627],...           -450 12628.76   \n",
       "1  [[-0.992088794420255], [0.021957082623147627],...           -450 13075.20   \n",
       "\n",
       "         Y       Z                                             points  \n",
       "0 30259.13 2259.59     [12628.75598, 30259.12988, 2259.5903399999997]  \n",
       "1 30249.25 2203.97  [13075.195937489114, 30249.249192819585, 2203....  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_survey = gg.visualization.create_deviated_borehole_df(df_survey=surveyrwth, position=x0)\n",
    "df_survey"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating lines from DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T17:15:53.684716Z",
     "start_time": "2021-01-20T17:15:53.670714Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<table>\n",
       "<tr><th>PolyData</th><th>Information</th></tr>\n",
       "<tr><td>N Cells</td><td>3</td></tr>\n",
       "<tr><td>N Points</td><td>2</td></tr>\n",
       "<tr><td>X Bounds</td><td>1.263e+04, 1.308e+04</td></tr>\n",
       "<tr><td>Y Bounds</td><td>3.025e+04, 3.026e+04</td></tr>\n",
       "<tr><td>Z Bounds</td><td>2.204e+03, 2.260e+03</td></tr>\n",
       "<tr><td>N Arrays</td><td>0</td></tr>\n",
       "</table>\n",
       "\n"
      ],
      "text/plain": [
       "PolyData (0x20511019040)\n",
       "  N Cells:\t3\n",
       "  N Points:\t2\n",
       "  X Bounds:\t1.263e+04, 1.308e+04\n",
       "  Y Bounds:\t3.025e+04, 3.026e+04\n",
       "  Z Bounds:\t2.204e+03, 2.260e+03\n",
       "  N Arrays:\t0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lines = gg.visualization.create_lines_from_points(df=df_survey)\n",
    "lines"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating tubes from lines."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T17:15:53.700722Z",
     "start_time": "2021-01-20T17:15:53.686718Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table><tr><th>Header</th><th>Data Arrays</th></tr><tr><td>\n",
       "<table>\n",
       "<tr><th>PolyData</th><th>Information</th></tr>\n",
       "<tr><td>N Cells</td><td>22</td></tr>\n",
       "<tr><td>N Points</td><td>80</td></tr>\n",
       "<tr><td>X Bounds</td><td>1.263e+04, 1.308e+04</td></tr>\n",
       "<tr><td>Y Bounds</td><td>3.024e+04, 3.027e+04</td></tr>\n",
       "<tr><td>Z Bounds</td><td>2.194e+03, 2.270e+03</td></tr>\n",
       "<tr><td>N Arrays</td><td>3</td></tr>\n",
       "</table>\n",
       "\n",
       "</td><td>\n",
       "<table>\n",
       "<tr><th>Name</th><th>Field</th><th>Type</th><th>N Comp</th><th>Min</th><th>Max</th></tr>\n",
       "<tr><td><b>scalars</b></td><td>Points</td><td>int32</td><td>1</td><td>0.000e+00</td><td>1.000e+00</td></tr>\n",
       "<tr><td>TubeNormals</td><td>Points</td><td>float32</td><td>3</td><td>-9.998e-01</td><td>9.998e-01</td></tr>\n",
       "<tr><td>Depth</td><td>Points</td><td>float64</td><td>1</td><td>2.194e+03</td><td>2.270e+03</td></tr>\n",
       "</table>\n",
       "\n",
       "</td></tr> </table>"
      ],
      "text/plain": [
       "PolyData (0x20511019520)\n",
       "  N Cells:\t22\n",
       "  N Points:\t80\n",
       "  X Bounds:\t1.263e+04, 1.308e+04\n",
       "  Y Bounds:\t3.024e+04, 3.027e+04\n",
       "  Z Bounds:\t2.194e+03, 2.270e+03\n",
       "  N Arrays:\t3"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tubes = gg.visualization.create_borehole_tube(df=df_survey, line=lines, radius=10)\n",
    "tubes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plotting the well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T17:15:53.952417Z",
     "start_time": "2021-01-20T17:15:53.702230Z"
    }
   },
   "outputs": [
    {
     "data": {
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WpJoW/omIKKBAh/76jzMzM783+Vs9fF6AEYESIAAAgGPNlgz50fb9/a03ve9jruO5rt+Y7CmE4/iubgAQwmrwJWre4YscIVmGZHb4cuK3EEmO6lxvif5FyDr6b3io9DB2AwDoAAkAAADAsWNLhvxoV//vfSc959/te99tnuvn3XFP+PGoH9f3nYIrvKbQXyQtvY3pnw4RSY5n/IvmaT+SZERSnywoHhkkSda4GlBgnxxw/aTiS3r44ACjAwkAAADAsWALQ38i2vfe2z68+z5XeJ6b85ycSMRlP46wx/wTERFbzwEEESlSEUlJUSo2UYJCDqOmnb+IiEIOaly1dwQLqL5CS3WqnzL5qg3dPMCoQQ8AAADA9rZV8z21q//3DTfsvj0nCp6u+E84wnWToZ/cKPHX8z2bB3oSSaGkChsXdYgUCSEiFbYd9BlyEHDdPhJwrU61jd48wGhCAgAAALA9CJGe3WdvMdbnkJ/ekod97/vohy/fn3PGPMdvRP+K44V/Ih27J3fOJuK3v4hkoPTmvsyNTQBI9wFL4sbgf2IORRCoptC/3hz6v7r4ylcX8QQAoBOMAQUAANgeUglAn6P9+7zC17746L7ddzzx0Lcd4XrCd3S3LrMQjit8QU682E9EREwqXsTX9598CqlCyZE+o/l4EHFE8bmNt4SqFnCgv2ZmYh39V/UVmBQzP80/2ehnARg16AEAAAAYXlNTU6VSKXWw5xE9WV1h3/tvP/NPZp74ync8N5dzC04yw8dxfM/JCx1dOA45jSk/8Tt13X8y1UeSarpucjzi9KDPkOtltRJwY9qPpKjCq/HaPxMTM/O9c3du9LMAjCAkAAAAAMNrenp6dnZ2ampqdna2WCxubacvEX3tS4++479cuG/37SQo5xbWGPQZB/xMxE5S72/N/5EcBRxItgd9EulBn6oWcWQfFEKEXA/I6hAgqnOtzKvJSFBWpF49+Yp75+48BcU/AF1ADwAAAMDwKhaLxWKxVCpNTU3pI1vS6avtu+z2fZfdTkSem/PI6vd1PJfdxnm6REckJT1OUg4kBDFLjpLQX5B1J5KiiKP0QZYB16V5ICAEMde5VuO46F8v/J88+ZIXF38H0T9Al/AEAAAAYKjpJwA6E6A1ioLWvUL/zw32XXbHvt13kBCem/OEHy/zC3KcNoM+mXTLb/J+R8/4j0KuK44aU/uFHgBKIQetZT8BB1VVltbxuqouqYWm6J/UyZMvub90oIcPBTCykAAAAAAMKR36kxW4z83NmaKgLq+gO317Dv2JaN/uO+6//rF9e+7w3FzBm/CcXFLz4/numOv49kR/1gX5jYKf+L+lUMoK5c3rkqOQA8VWM4AQRFTlWmrQZ11Va1zVXzMpxeq8/3X20/LHn5zbrx+SCCFmZ2c3mh0BjCBMAQIAABg6Zj7P5OSkXvjXRzYUxGcyJmjv7jt+ZcdvEpHn+J6Ti19gdhzP1Q0AJpDgeDqPfYSImJXkiHWIr2uBkhMlh2baTzz9kylQ9UDpNX4mIlJcV7UaV0kPEtVXJHX+X51z/vS5+vtMTU1NT0/rHgmdAMzNzfX2kQFGARIAAACA4dI2cN9QAmDK/fsJ/a99/0d+5fjfdoXnJqG/UEy64r9N6M9rDPqM4oV/fSSZDRopHfrrk/UbFREFsh5wLdn4i4moHiUL/8xEiplX1cKKWrDvtnWHBADoACVAAAAAwyLD+Z59jgnau+eOf33ii1zHd9285+T1S+wI4fqOk7T/JnU8LKhR62O9FKlApSr7HYeIonaDPgMVrMrlgBtbekUcleVyvRH9MxOf/G9efPLkS3r4XABgIAEAAADYeusG7qVSaXJysp8rdHMPs7OzV7/vppf9yh/+ynG/7Tq5vDeR7O8rHMf33TE96JOTaJ8FMSVL+M0z/kOuc0tlf8RRLR70Kay3UKDqrRX/FbksVTzok4lfPfnyez770fP+1zmp2y6VSrpKCgC6hAQAAABgK235aH9zESLau+eOFzznJFfohX89459IkOOaGf+NVX8W3BT6J19IkvHCv9P0WCAiGamwcTIREUmOVqPlpOg/vkJdVeuNfl9mUuf91Vn3fPb2UyYx6BMgA0gAAAAAtkYmoX9qTFDPt3H1+2+6d99Xf+X433EcL+/v8PRsHyGE43pO3hVeU5Qvku29TBxhFv5VTZkF/kTEUU1WI9W0mRcRBapWlRX7SF1Vl6Oj6ej/L885P1n4n5+fT633tx4BgM6QAAAAAGy2/kP/Uqlk2oL7DP2JaO+eO1/w3Jfn3XHXy/n+WDzU3xGO8D0nL5xkk6849CeyB30moYSkqCn01184ok3FvxCSo5qqhCpd9lNXSejPSrE66XW//3T4ZJmbWn4BoE9IAAAAADZPz4P57Up3cxE9+7K329Ch/1e//NjP/6m+78qPOY7r+2OemzcRvOfkXc/q922E/tQ4SEREkqJQVpWKUscVq0DVI4oaB4UgokDVazLe4Usfjhf+VTWZEMpMfN5fnb2qFvRATyGE3gGttRdi3e4IAEhBAgAAsI2ZZWDYFjIZzK8Dd70jWG9XMFVD//L43znzjX/3xNe/77p53xt3dJU/kePmfG9cCIeImrf4Ta5iLfNLFUmOuLncn4gijoLUDl9ERBSoeqhq9pGmhX9ixerdf3nmwfoPzv+rs/XB6elpnS/pMf/z8/M9fHAAMJAAAABsY3r1V6+MbvGtQEf9z/ckogyrhv7g//2jd/yPv9x71V0shOvmXTfZ4YuE41j9vk0b+nJ8MLkbxSpSgSTZ+r0ijtpW/JfDRTv6jzgsR8t1FbcBxAv/f3mWCf1txWJxbm5Ob/qLv/MA/cDGGQAA24yJe0zth46HdGy0RTcFa8pkT66ZmRlKdtrt+SK6iGh6enrvlXftu/IuEuS5OZd8c45rdvjSzLdLdu+yd/6SHEkVpbb9EoojDiMZz+603xXIWihr9hVqslKXVujPKlCVT3z2nlP+zSvNLbTu8KWP6GRGf6JSqYRgBmBD8AQAAGA70fUb5v/qg3plFGuiwybDIT/9ZHepqqG9V92176ok+nd8ckj/x3U91/H10M+YXuxnTvf1EkUqjCf02+P8iSIOIxUlV4j/K1D1crgUyqayn5qsWP2+etTPmUfDX9jRfwf677z5weIvP8CGIAEAANhOZmZm5hJ6VVgrFoszMzM6WIQtN2xDfvRt7L3qrpe/8A37rrrL83L53A7XzekiH9fxcu5YHP1rgpiYWDVW8Rv9vjKIaopVautfyVFdVqOWcqBA1VpC/+pScDgd/b/nzPP/Ml3207rDV9s9v/RjDZ0sIQ0A6AYSAACAobZWQFMsFnXxgzkyPT09MzODnuCtldWeXFkN+TG3sfequ/d94G4SwnPzrpOnZKnfdTzXyTXV+ou41oiTbXqTl4TkSKowHTsIIVUYqeZBn0SSo1q02hr9WxX/SpF693vOOFj93vl/eXY/G/rqBwI6DejtCgAjxdvqGwAAgDXp4n67fNyUgugC6OnpaTtsmp6eFkL0HHdCP0zo2Welvm4Y0LMvM7mNa6/46N4P3OM6vuckzb7MFIf+vvkjCR34J9t7KSIiFkIwkyCpItnS1EskFMtQ1sj+xI4gxQHXwqil5kdX/FuDPk9+ze/f/7l7y/JoJn9pdVbc/3UAjnl4AgAAMLzsue+pI0Sk1/tTZQ94CLAlMpzv2fbRQZeb3bbext6r777x2o+7nu/5OdePR/2wEI6bc8zkn2T5n4U15CcJEFgv/HPzjH+HiEhyGC/wp4v+m8t+BDX1+xIrlie95nd/65X/8hOfuVvfqhCi9e9tN5v+YhtggB4gAQAAGCJ6n6PUQdPmmDo4PT2tOwFSL6EMejP1P98zq6qh1G1ce+XtL/2N/7b3A3d7bi6f2+E6OSIihxzX8f2863hkinyIWBC3zvh3SKookLWmft9EyPVIhamDgaytBot29B+psBwuNU37IT7vPWed954z9RFdwc/M3cz3xC5gAJlAAgAAMCympqbMhB971ufs7KyuBW/b46ujPXO+LgranBsecRkO+ckk9Lcvsvfqu2+85oDr+J6bi8t+BJEg1/U9Ny+EYy/wN7b2bZ72o3f4IitP0CRH9ajaZocvWQ1aRv2UwyW9IQATKVZM6p4HP3z+e85su3Kvq93MPwEE9wADggQAAGAo6HCHmXWVv4n17fp+uy68Q50PKiIGLZPQf0NDftqGwm1v4+o9t7zoN/5o79X3OK7n++Oul4/38xLCdwuu4zcV+TjxknwqB2C9w1djoKdpCNb9vs3NAEIEsrYaLrZG//WoHL+dmVmdd+kZB8vfOeXfvKLDZ7TbebHpL8CAIAEAANhK9jh/o8t5Pvq9s7Ozqd7H1HQgyFBW5Tr6i36G/OiLpG5j79V337zvUzlv3HNzvjfmOK4+7jp+zhsXyR/NFr/M3HgUkAT7kqNQ1hsL/EkOIFVYjyqRbgYQyXXaLvyrylL9cCr6P/k1v3t+UvZD65Xu6DRAnyaEMM/EuhwMCgCdYQoQAMAW02UPOogx0Yye50NrN5VOT09PTk7q6L/niTHQPTOfJ5MhP/0MvWnbcPy1h5/Y+8F7H3/k+47juV7OES4RkWIicl3fcfx4UE+yt1fTpzAzf0hIWWsK/ZOzpAwjFTVVAhFJFQVRRTYPAK3Lcj1s9Psyq/MuOaMcHentw5o0wOQ8ANA/PAEAANhKOuLXkc3MzIxd8KAjxQ7vNcUSqeM9rytDW2stt2/0IoPo9NX2XnPP6X/+vsce/YHr5b3ceBz9E7lezs9NOI5PdpuvmfVJqX7fMJBJZb+1LYBUYV1W0mU/RIGsVaMVO/qvy/Jy/VA9ao7+Lz3j/Pec2U01f4e1fP1XXb9qd8hg+R+gN0gAAAC2jA5f9Ca+1FL5oyO87b7qua2Lkcx2vDSw+Z7d30nbduGvPfzEn79l+vpr7iVBnhf3+7IQ8aBPPeY/KfghIhZJ9N8880eqUFJzv29y3A794zIhIQJZC2SViMiJz69H5Uboz0qxfPVrTz64+u3zLz2z7d/hdWP31hN0hwA2/QXoH0qAAAC2jI5vzMZeOgHQ23vpEzo/ARhyJmYla/+ybUQ3oeqIs+crZFU1RO32F9t7zT3XX3MvETVG/RARkev4jvAoqd8R8X8RK7263zhCnOzwZV1cb/6lWMooVCzjo0mZUCBrQVS1z49UWI/KZpswZsXE511yxvmXnmG6eO2pVm0/Zvdr+Tpn1rmZfheeAwBsFJ4AAAAMUNtFSh246K9Nxb95CEDWqv/k5OT2XebU/Ql6rlHbXuehZdbs21ZYdXmFTKqGzKp/66t7r7nn+muThX8vp6d8kiDX8R3Hayzw6+29iJnYrNabkf+Sm/f3tfp9w6iuKD3oM9TRv6UelivhorQHfXIc/duTjvT/ted79hCy25NDdVGQTpjxQABgo5AAAAAMylpDDNuu65viH7O3l5nwM+DbHCDziGPdfoYhkfmQn37uhNYYEnr9Nfe87PffeN219zpuLpfb4bg5nR+4ju97447rx+eJOKBnYmXygSQHiDgKoqpUoT3PR79LyjBs7uslojCqlesLrdG/Vfaj+33feXDln8vh4dYMyp7vqRObziF760YBbXcBm5ubS10WANaFBAAAYDOsu8Wp3QCgV3z7rD/ZZGYh1oS/dvTW5WDTLTTQJt2eL5KaDUVE11977/XX3UdCuF7e0zP+iYhIuL5ohP5NRf/JF6bfV+iyn8bWv8m7pArrYZt+33jh3zq/HpWXa7rflyne31edd8k7y8Hhzj9GnQbMzc2lVu67Cfc7MJft8nyAEYcEAABggOxSn2Kx2LkSxl4mN+uag7/HbOjFV70PsVm9tlf9hzYHyDb0H9xFrrn6jhf//n+//rp7XT+XL+zwkqJ/4XieX3BTo36ImCjV78tCMKsgrOr9fRsEke73lVa/r24CZlkLV5oX/kVzvy8rJd99yekHl/+pHBxue/OtBT/z8/MzMzP2yj02/QXYTEgAAAAGJbUh1/T0NDOb9c7W800T8CbdX3b0PesVazPUiKy6JvPHLbi5tQ3hfM+1LvKdbx+5Yd8nHTfn+vk49HeIHHJ83/PyQrj2qr8Spm2gUdhDRFJFoQzsy3IS+tfDSiTD+ArJm8KoVguaB31G5aXqs/XQ2uGL1HmXnFEODnXetmItpi7INPV2OBm7gAFkRfQzmgAAADqbmppqLeMRQpje32MmfBFCmP2thGj8j4sQwh4BZL+0hey0pP8hP33W+ne+yDUfvPO66+9zHd9M+dSEcDzHE8nIf9OvG4/6McN/iPQyvZRh/JL5+TMTkZSh1Av/3DhITGFUDUO98B8fqUflWlAWpuaH1SmvPXm1fugfPvdA5x+CDu7t+pypqanUX379L8XOJFv/qnRzBAC6gTGgAAADpJfD2+7VNT8/r4OeY6NwWUexZgXXRHj6IYA9vGXLV20zGe2vv+gn+jQ94h0uct119+274ZOu2xz9c7K5L1nRvEOsmJhICH2Qk3GfUkmlF/71zr7mBOIkxG8SRtUgqiYz/4n0oM+gHKnAfGomtVo/dO8Dt8zMzHz6s/d3/qSt9f1tfxr2owDTJWzeiOV/gAyhBAgAYMNaC9nXKmDosJnX9PT0tpuOrytVhBCtn0h/HLI2bdWF3ToN0F+bwe1bcOtElF2Trv6iz4V/e0Rmqw9cdevv/v5/u37vvY7j+rlxx82bgNz1fDPqR+/5Rbrcv3lvLyJiQVJFSoWNIT/JCVKFYVRrPkjUPOhTFwjVo3K5vmCif6Wj/9qh8y95Zz9VT2ux23kx3xNgQJAAAAD0wg5KTJjSNljpMAFzGw35oWT7Ah2ctW3n1av7OuLX/Qx6hdvkAFs4DHQIh/x0aPK+7vr7brr50zl/3HXzXm7c1Pk4bs7zJ5L9fU2xPitKCnjM/6oLoVQURlXJzSN9BClWYVSLy36sov8wqpZrR9ODPqNyLan4J2ZmuVp75umlfzr/knd2/xNoO75z3TwwNTa0bdsMAPQGCQAAwIbZ5culUklv9aoj49awRofC9oTymZmZbbTwb1IaHbSZNt+1Qnlzvj0FSDdAD2LBeF3bZciP9tWvfvNtfzF73d57heu6uXHXyxElO3wlZT9MorHan9TAW1M+iYiUimRqlr8QRBTJMIxqilXjfCLSZT9hesb/cuXZWriaHGBmtVp7dhAL/x3yAbtLmJoT724qiwCgLSQAAAC9MMMuzaR2XdK9ViFQsVjMpHRk85nRpam5/m1Ptp8MbHnlxvYK/Ynour337Xrn+x977Aeun/f8ccdx9VhPx/N9f9xxfWvVnzjuxG2a8klESkahrMYL/CTI2vc3Ukm/r0WqcLV6tDX6r9sL/0quVJ4+7V1/slJ7ZqM/hLb1cusG7qngXqedlDxt09fE5FCAnqEJGABgY8xCuJl8n1rgJ6LWxl9TybC9Wn7Nsuv09PTk5OS6cZteqTUdnFtY8KN/Tf006Zr5PH1eRH/R+SJf/eo3r7vhvsce/yE5wvXy9rQfV3iO47M91UfoyzElbb5xdy+R5EjpbbycxlwgIopUIKN06E9EQVhts7lv0Fj11+H/eRedfvKrfmejy+3mt2DvhtH2zC67hHUirTNtnVCZxAAANgRPAAAANsCuRTZlMLr/lRNrzfK322E37477oyMz/fjCjrQ6LOLqgg0dfG9JwY9pru1nwb7//QGo63bh6/bed+qZlz36+A8dL+/ndzpuTkf1ruv7/rjjxclAsskXMylrf9/4IkwyDCtStuzvS0LKIGpZ+CeiarCS7vdtjv6ZVT1YOeu8t5x/8Tt7iP7J+i3YG3518/YOq/u6w4SZdTKwvf5BAQwJJAAAAE3aBhNrFfaYipdi855fa9mOk390AJday2/bkWmmA21Vc7MdcPf8Q85qyE+X7cLX7dt/7Q37SQjXy7terlHb7/oiGfVDjiBHv8CKkgcBjcofUiqMojqlQn9H7/BV1tF/nBjE/b6VcvWIVI2sQMqwUlsw0T+zYlbnXXjakZUnL/3LC3r+7Gbqa6qjt3WgZw/FPGZyqBkbCgBdQgIAANAwNTVlKoxteqGx7exLExnrKETPutleVf4d2CN97I+v6zH01+Z4h7E2g5btfJ5MLrLu04Nrb9j/olf+2TU33Of4uVxhh5us9AvH8fPjrutTY9WfiIiFLvmnRi2RIGYVRfVINvX7xvv7yjCKx/+n+n0rqYr/ICxXagtRkg8wK2Y+76LTz7/4ndl+dp0G6EdnbYfJdrDWQyeTWmzoVgFGHBIAAIAGM+ImFZroCT+60zf1FnOyXfqyvdb4u2GnOpQ8J9GlMqbkaUs+9bbr9NWuvWH/tfvuIyLXy3luY9SP4/meXzB/1BQxsyKi5DlAnAMoGUZR3Wz9G7+LSCkVyHokg9QzgTCqllv6fYNwtR6Uk8sqxfK8C097+ug3z7/o9I1+/C4/u16518mMEKLt4v26jcKpE469f3EAA4UEAAAgre2c+2Kyv5Vu+U0Nu9za0pfNkfqZ6NCfiLYq4Rmq0L/78Pfq6z72uyf/6bX77nO9XL6ww9NlP4KE67hewXH9piJ+QcyKiBsHkxwgkqHUC/+CiBrbgOkdvpSSqe8bhNW6Dv2TBwL1YHWl/Ewj+mdm5vMvPL2H0N88OWl9tUODry7ln052/+1QRIdNfwGyhQQAAKBBxyI61jeDPlP0FH+7ImhEKhBSqY7Ohbaq1n9IQn/aYM/AtTfs33vz/a7nu37O83Nmmd9xfdcrCDf+H2Vd+cNMzGxv66tJisKwqlSU6vdlElKGUZTe+SsIq+XqQpga9BnYC/+slDzvglOfPrKxhf9MfoY6sre7hBHuAwwaxoACwMjRkX2HcZymbVEIocsVUifomZizs7N6MuboBCu6eluXyG/Vqv+mjebs/ma6iX2vvv5j196433V918+5Xl5/e/2S4/mO65MZ6El6/CaxSIb9CKFPZkFKhkpG5AhS1s0LklEoZWD1BxALIZiDsNoS+pfrwYo5k5lZqfMvPG2joX+Xg1btdhFzxP43ZW8wt1bW3foYAbuAAfQDCQAAjJy2E2yMmZmZ+fl5+5y2w/tHKu43dOZDW1FynWHUrr/oc9V/Q3nItTfu33vL/a7nu24S/ROxEI7rO44vdDCezPInIk6+4sakf6GiQNf82Ov++gQpQxn3+zYuomQYhhXZ3B9cD1KDPvnVp5x0/oWnn/Kakzf08am/UUtrMTNndaFdh2/RmlcAQPdQAgQAIyFVXrxuf6Gpbtehv130P+Kbj27Vwr/+YnNGc3ZzkS6LXq665tbfOvlPrrnpPuG6Xm7cRP9EpKN/ssr3dUVQnFRYUz6JSMlQpsr6HUFEUoZBUJat/b5htVZbtqN/KYNKdaEp+lfqvAtOu/fAjd1H/6kRn12+qwf6uYr+dvppw4j/uwPIFhIAADj2pYZ7dh7YPzk5WSqV7PBO9/7qWSXbbor/drclUftaF9F/B7q/yDU37d9322f8/ITr5bzcuHBddogdclzfy407rt+I8kkwCd2G2wjldXevUmFYtUN589BBciRl0LLzF4VhNQwq9pF6sFqpLsRPCYh13c/5F55+/oWndf/xe/sZpgr6W+v7W4t5dLivW3F0OrRulzAAbAgSAAA49pkhnrqmv/PJbeN7Pa5kEPcGaxnCTt/uk5Cvfv2bv/mK1197030kyM+Pu37e7vcVvs/mf37NuE9msh8FEBGRUqGM6o3rJg3BkQyDellGQdN3FRSG1XL1aBhW7AcC9XA1aFr4l+edv+vpQ090Gf2buvwefoaZ7M+lnzbo0iDzLA6NwgD9QAIAACPB7EBkF/N0OHlDWxRBtoYt9N9o0cs1N+3/83fv8fMTjl/wx44jN263c1zfy487Xry/byMHYLaW9c2kfyXDujIL/43HAqJR8W8uIIiIwrAatIz6WVl5Oqg3Rf/nX7CxhX+T/HT5FvNGkaQrnf/RdVPeoyv+se8vQFaQAADACDEL+ToTWOs0rCwO2lo//M2fyt/5Ohu9ma9+/ZtvOeOvr/nQfiJy/bzrx5v7shCOl3OSvX4blT8OJYN+7N5eoWQow3q8+ZdVEcRKhmGtKfoXgojCsFouHw2CdPRvFv6ZWbF89Skv637h33z8jU65TdVK6c0xzOJ9N9N7Oqzum+04aL28AgA6QAIAACPHDPDR/YWtJ0xOTmLAyCbbkqn82d6MXvh/5FtPOn4+N7bT9eL9fV3P93XFPzVqeEiQrsUn+1GA7vdVobJ2+DJfyCgIwxorGb85eTUMq2Eq9K+vrqw8HQSr+rkCMzOrCy447d77bujy42+028F+L7XUSumoXacB9n7SXWrNB3SHgJ1XbPSaACMOCQAAjCJTEdS2KAhPADZT5gv2W9IufM2H9n/w5v0syPXyrpfjeJQ/ua4fN/taNTzEySYA1qMAagzuDLk59CciGQWRfZzi8+u15VT0H9gL/8SKFbO6b/8N51/Q7cI/9fQzbFsrZa/3m8X7UqmUasrv3CW8Fjuv2NCtAgASAAAYOabmWFcE6Qk/WETcBK0/5y1csE/pudX1mpv3/+7kWz94835XL/zr/X2JhON6fkF4fiqaZ+amON6E+BxK2djEt7Hvrwzq9XKkmvf3JQqDSrW2LGUYX0GQlEGlcrReb5T9MKvzz9/1zLOPn3LK+oM+ex7xudGfv8ku1noEt67WvKKHiwCMMiQAADDqTBqw1Tdy7LM7OIdnvif10ep6zc37P5hU/Dt+zkTtju97ubxw4v+RjY+zvcNXIwlQMgyDih39G1IGUfPxuN83qKUX/uurlcpR0x6QRP+nXdDFwn8/P8bOWVNrg6/Z99eerNU5A19rTuiG7hMAbEgAAABgk5jFWr3V2ka7S22ZD/nZ6M184Ia7fut1b/zgzQfcXMEfP840+LIgx/fduOLfGugpkui/scOXoHiHrzjEZ+t/k2UU1uuVKLKi/2TUT6V8JAybxvwH9VWz8E/MiuV55536zDOPrxv99zPi007hNvRGW2s1P8J9gE2ABAAAADaJDhn1AvDc3FxvHZxbOOTHuObm/dfd+oDr5hw/H4f+QpAQrp/z8+OO67No1PCw3tzXrvxJdvgKwmq88N9c3C9lKFtCf2q3w1dQX11ZftqO/pnl+ed1u/Df54jPzj+67rfu6rNLGAA2CgkAAIwcFPxsvtaQ0Y75uh/rvuU9Ax+44a7f/DdvvPqWA46f98eTin9BROR6ut+3EcuzICYia3Nfq7I/jKIaNdcCEZEkGYU1K/qPXw2DamX1SGv03xT6K/nqV7/svntvWDf67/m5B61X85O6fuu/tQ7bAKe6hDtvHYB/wgD98Lb6BgAA4Fim13RnZmbabqVsRrJ2f51MhoT2tq/zB2/Zf+1HH3C9nOs1ZvwTk6NH/RjCdPsymRBexJt9KVYqClip9NUFyTBe+BfW+UQUBm0W/uu1FXNxJiZW55+/64Lz1w/9dfTcw0+gy1+ByRDWemld+vr6AcX09HSpVEKbL0C28AQAAAAGYhhqdVLX0V/0cJErrrvtha95/dW3HBCO6+XHHRP9Ezme39jc1wTt8Yh/ImvVnwQpGUZhTXFT9K8fAkRBrbUPWMmwXl0Og4pdI1QPUgv/ilS30T/1N+Kzy4X/tufo754K5deq70+N+LQzByz/A/QPCQAAAGTMtJbSEMz3pObAtIfrXH3L/uvv+qxf2OH6eS8/LhyXiJhIuL6bNzt8Nc5Xydq/OapzACXD9qN+oqBer6iWZwJhWKlVl+y3yCiolo8GtST6J1aszj/v1Geefqxz9N/ziM8uu4Q7/6Y21C5sx/e6P7jztn0A0AMkAAAAkCW7tXR4hvz0dp2Hv/HNF7729R/88AEiist+RDzbx3Hjhf+m1l4Rl75Yk/7jUT9BULH7ehvNAFHQ1O+bvBoGldayn2r5qIwCcxYrdcF56yz89znic90u4c4ZwrqJQZddwmZmKNIAgEygBwAAALJhasT7qdjus0y/9WZ6vs7VH95/9YcPeIUdjp93vRwl5T2u06j50YfiaF4lUz6Tg0IX/csoPdKHiYikbBP6k6CwXgmDimi+66C+2lj4Z8WsLnj3OqG/HqlJPf0ku/xVmo6CDjU/bb97h3vr8IBCp5T63qampjb6NAMADDwBAACAfg1Dmb59kT57Dx5+5JtvOudvrtYL/37ebO5LRI7nCz+9uS9x8/6+ZnVfNe3w1dQMYC/8i8arbRf+V5eeTkf/XSz89zziUw9l6rLmp+0coXWbAbq/t7bbAvQwPwoAbEgAAACgd72F/q2FH5lsDExZpBBXf2T/Wy++/Bv//KSby/sTO820H+G6bq5gpv1YRT72/r7JIUFKhqoR4jeaAVQUhLVy69p/FFQrK4fDejr6tyr+FavolFe/bP89+y44b83ov/8Rn51/BX3W/KybNnT5+Mh0CXdzMgCkIAEAAIBeDEmZfut1+kkh3vSuv7n6IwdIkJvL61E/eksv4edcPy8cp2lzXz3qk9juACYiViqqV1QqxNf7/pqF/+a3REG1NfRvu/B/3937Tnn1yW1vvs9y/266hDsv3ndIDLpPG1rf2GEbYJQAAfQGCQAAAGzMEM737P86V39k/2/9u7d945+edP28P7Yz3t+XiIhcv+C4ftOOXUJP+WxX9iNDGdbsIxorGQU1GYXcfFzJsLqS7PCVfIug1lj4Z2ZWMi7677jwT/2F/ltV89M5bWg9H2NAAfqHBAAAALplIjnqr0yfiIYn9J+dnX3eC1/6gVsPsCAnlxd+Tq/6E5Hj5bzChHBdfSYLwUKwXqgW6bIfZiXDupJha1agojCq11o3/wqDaq2ybB9JDfpkVsTygnef+uwvHlsr+t/QkM3W91IXoX+HroD+a37WunP9l637reIAoHuYAgQAAF3JqkNXf9H/kJ+ed7S1L/LEj5791s8Wn/vrL3H9uObH7L8r/JzwfLIH+nP8f+LA3hr4w2GoZNOUTzPGR0ahjAJ73V+/Wq8upzoBgtpqUFtpnMaKmS9ce+G/n0lHG9rWd626oN7m/Kx7551nECEfAOgfngAAAMA6Mu/Q7f9+MrmZq27d/49PV4Sfc5KKfyIiQY6f8woT6TH/ybAfSvbu1ScTkYpCqZpG+mgyCoN62ZrcH78c1quVlSOpTcEa0T8TsVJKnn/uqYefar/w3+X+XGt98I1u69sacw+o5qfzq/YGcwDQDyQAAACwpqHq0KX1otLuL3Lir/7uR774vef++kuE6/rjO52k7IcFOV7OjPrRWBCblWxT8CPiHb6ioKLX/lPF/ZEM7dDfvBrWq1Gq37e2urpwsLH2z4qZL3jXrgvP27XW/fc24rP7bX23quanm6Sin10mAEBDAgAAAG0MVYduVtfRF7nq1v2/9NuvcPycm8t7hXFrc9+cl58Qnp8K5Vkzf270+0bpUT/6eBQGNWvh34T+QaW6cjgV/Ye11aBqhf5KnvKql+2/a2/b6L/PEZ/dpA2dn670M+dnQEkFAPQACQAAADQZqpA9q+voi1y+77ZfnXr9c37jJeS6bmFc5HIm1nfcnOM3Fv6t1l4z5d/8NykZRjVr0GfjsQDJsLHwbycSUb2SCv1lFJQX2yz8779r32taBn1mMuKzcwA96JqfHpKKdV8FgN4gAQAAgFjnZdoNXWeoQn8dRF55632/9KLXeIUJx897hXEz20d4OTep+G8e88+psh8iYiIVNXb4amwBIIiVDKupin8ioqheqS5bO3wJIqKgtlpbOZJclFklZT/vbiz8m3mX/ZT7b2hb34HW/PSQVPQ83QgAOsMUIAAAaJrw08+UlUyG89j3k8l19txw23N+4yXe135Mghwvbzb3JWpU/Ntze8z3bRwURBxv7msfISImIYhVFMogsI9rYVCJ6hV90IwPqq4eUWHylIAVtYT+RqlUEkKsO6unw2df9xfaYZJP51c7z/lZdwpQh78n/Uw3AoBu4AkAAMCoyyT6NyXgfbb5pu6nn4vo9eMTX/ji57/oNd7YhOPn/fGdbi6nl/mF47q5guP5dgEPx5E62wc1peKF/9SYf1YyqtdkGKR2/lJRWC8vhbXmft/q6urC040aIVak2kf/evFeh8g91/x0/oVm0pK7yRVBAJAJJAAAAKMrw+E8Xa43U8edXDO5H3ORhx755ndXnQ/cfoAEObl8HPoTEZHj5dx8wVQBxZU/etaPeRBgQn+9w1cUtskKojCq11Rqhy9BUb1SryylWoTDqr2/r1JKnvKqlx362aOp6L+fcTcbHfE5uJqfzCuCACBDKAECABhFWVVZdN6zaZPvx77IVbfvf8v0HiJycknNj67nd13h+Y6wQn/9DZlIcGPbr+QLU/EvUufr8f+pin9BxBTVK2HrqJ/KavIn1v2+F75r14XvarPwr7+Ynp6enZ3d0AOZzsU8XZ62JRVB+vFR/5VjANAlPAEAABgtQ9Whm9V1UjMo/+cFf3PVRw+wHf0TkSDh55xcQThuXO2THNeL/8nX5mBTv69N6UGfoTXmnwQRRbXmfl8iigd9JtE/M0vJig98bG8q+u/n6UeXa+d91vwMriJodna2/8oxAOgeEgAAgFExVCE7WXFhVteZnp6+6vb9L/xPb/v6d550c3l/ommHL+Hl4or/VCVPatU5Cf2jesWO/htlPzK0Q39ztaiWXviXUVBZeLop+md14bt2Hf7po695VWPQZyYjPjeh5mdwFUFzc3P9tJ4DwEahBAgA4NiXYcFPJkN+KLtOX7sA6arb9191+wES5Obyjln4Z3K8nNBTPs1dm4r/trU9sv3CfxSFHDZt7qv7BXTNj2j+mYTV1dCE/kSsFBFfeO6prQv/tHZhzLor+mu9t/vThvNVABgoPAEAADiWZbXKnuGQn/n5+VKp1OelUsvSV3zkrl//o7dfecfHnVzBmzhO+HlzpuPnRLLDV1PlTxLv27VAKmq/wxcRyTA0szvt460V/0RUWz3aiP4Vs5QXnnvq4Z88Ykf//fS8DkPNz4BeBYBNgAQAAOCYlckqO21wyE/n6wgh9DOEfkL/1OZWV91x4AN3P0jUtPDPJISXdwsTwuzwlWBiat7hi03Fv2wJ/UU86FNH//Z6dWrQJwtBRGF1tXz0aRWYQZ/MrC48d9eF7zo19XOgnrKy4an5yfxVANg0KAECADgGmdqY/kP/zIf8mIcJvV2HrDzkio/cdeUdBxwvJ1zX9fONsZ5EjpsTnp/M8knCfSZSTNTYkyve4Stqs8OX/qKx8C+awv+oXolq6YX/sNro99Wh/2tfedKF79r1mledZN8/9VT60uV7O8/boa2r6kHND8DwwBMAAIBjyjHc6ZsaIX/VHQc+cM+Djp9zc3lvbFx4rg7qHS/nFiaEb+3wFW/ZRcTWDl/JlU3Fv1UdFJNhqKL0Dl9EFNXS0X9YXa0cOZiK/i86Z9eBO/e2Rv9d/hzsDRO6fO+683ZQ8wMAhAQAAOCYMWyhP2W9p6+5n9033fav/8MbrrjzAHmuOzYu8jlzsl3xT2TW+Zk5KftpHCSllKzXVdjS7ytIhmFYLSsZpF6J6pXq0uHW6D+srCR/YlYqVfaT1YjPbmp+Os/b2fyan1S9FgAMA5QAAQBse8M55Kf/GqS2n+vKOw988JOf88Z3xBX/TKQH8jiu4/lC7/AVz/ek+L+YyRrao09QoVX2k9DnxAv/LaIgvfAvw6C+fMR6P7NSF56766JzG6F/P7+aqampdX8dQ17z02ffCAAMAp4AAMBI0yUTeijNdpTVan2GQ34yuaW2hUO7P3Tbv/6DN1x55wGy+30FkSDHy7m5gnDc5nIdJlamAojsWf5R+7IfFYZBtazCNgv/tXYL/7X1ov+efw5d/jqGv+YH0T/AEEICAACjS6/OklWosI1kVVtPzUFk/0N++r+ltoVDV9554IOf+Jw3tsPJ5b0dO0Uu3uFLOK6bKzhWxX+81RezHfqbL6RMBn22ywpkS+hPok3FPxHVVo4EpuyHmZW84Ox3HPnxIzr673/Ep34U0+HXsYU1Px2qelJbMnfzeQFg8yEBAIDRVSqVdPCkNyLteTTN5stwvmeHIHJD1+m+1Ht+fn6tuLZtvftXHvvWf7/kb6/82AES5OTzTs6q+PdyTr4gnGT4T1z5w8yKTXGPlQOoKFJRyC1ZgYrCsFpujf5VFAarS60L/+WjBxsn64X/c3alQv+BjvjsJwTv/9W1nkt0fhwBAMMDCQAAjDRdPE1E09PTMzMzw58D9NNO2vY6Q1I7tNb9XPmxA2/8u8u//v0n9cJ/Y39fIsfPOZ5Pqe29BPOaO3xVlQypZaaPCsOoOfTXb4xqlWB1KbUlcFO/LzNJecorXvrx2/dedO6pfTa8drlw3k8IPriqnqwySQDYHEgAAGBU6BhlamrKVPyn4hjdrLnp99Wt4Rzy03/t0Fr385XHv/XfL/3bKz92gIgcP1n41xX/uZw3NuF4vh3Ms2BmxdagT2q7wxfphmBBRKxkFNSaFv6T97YZ9FlZrRw+2Ij+FTOrC8/Z9fHb977mVSf1kwV1WS/UTwg+0Koe1PwAbDtIAABgJOi4X8coJmydnJy0I/6hfQgwnKF//yu+HSLLKz524E//9vKvfe9Jkcu7O3aKfM4s88cL/80V/6wn77fW9oRRVKuqKEr28WqkBzIKo1qNpdR/NINsolqlttjc7ysorKyG1fSgz4vO3qUX/ntueO3wG7ELpTah5mcQjxQAYGghAQCAkVAqlXSMUiwWTaBfLBZbI/6hegiQYeifYcdwtrfUepEr7jpw5V1JxX8+Z0J2x8+54xONMf/xcWbd76v/YJf9hKGKwiSyb2oIVmHQWPi3nhhE1Xjh31xHhkHl8MGwuhJ/B2aW6qKzTz365CO1pYM9/yi6b5bdnJqfbB8pAMCQQwIAACOhWCyacn8d9+tAP7Xqr0OZYZgKmu1qvf5iSEL/Uqmkf/itkeWej971q294+xV3HXDyeW/nzka/r2hU/JMVnbMd/VtTfVjv8CXDuODHrO8LUmEYVuJ+X3sGqKxVagstgz4rq/Wl5kGfrC46Z9dF55za54jPdZtlS6VSqVQaUIBeKpU6tyug5gfg2IYEAABGgg76zR91iK/jmGEr/R/Ean3/HbqZ3JK5n7YbhF1x14Gr9j9Iesa/XfHv57yxiXjQpx3l25v7anHFfxQFdVaSiEg0tfyqMBn02dwJLOuVqFZJHawtHQmbB31eePY7jv7wkdriwT5HfNJ6pVOzyY5sxWJRZwL2q/3X/MzOznZ4pNBzozAAbBdIAADg2KFLpe02X0OvoeqXdHSVeggghNCBUefh6wNlAjsamtV6yugBgl3F3vrj3fPRu/71H7/pirsPCM/1xsZTgz6F7zdt1yXiyZuNdX2LkqEKw+S8RtGPDMOwXJZBetCnlGF94XBUbdPvq5oHfV50zq7aQu81P93PCLLDd50n6PearLX/mh8993atVzHgH+CY5231DQAAZENHV8VicXJycmpqqnWNeW5uTqcHlARAMzMzep11enp6cnJSR/9zc3Nbcv9m0bf/eF3nNsxt4uPeLpVJCrFWj+wVdx+46sCDjp9rLPzrih7HdfIFc5rOAQSTXvk3B824fxXZoT+zEPFLglQQtG7uS0RRrSKr1eZ1fworTYM+mdVrX3FSdeHgp+67vVgs9vZT7XJWUtsfuHkOYP6Gt/0r2vn3XiqVdAncWvdvgvu1Xs3kLycADAk8AQCAY4Ru89Ux1lpVPXNzc8xsFqHtaEzHVVsS32Q1Q30QQ36yqvlpG/tedstt/+o/v+Hyuw+Q57rj4+mKfyv6jzErPeiTmmqBiPQOX1G86i+Sdl3BLKWsVVW7sp9wdVlWq01HUoM+dcX/2btO+s1fee2rTu6tjKrLGUHrrr7Pz8/PzMzo0L/1GVc3NT/U90MDRP8AxwwkAACwjZnIRrN39VrrLXZF9ZY3+x7bQ346X+fyuw984MHPueM73FzeGxsXrhsP+nRdJ18QzRX/pC/EeoR/ckQQEXGkB32GRPEDAvOSCkJZr7KSqdA/qlXqC0fSO3xVVsOytcOXUsyqtnDw4nN2UdYjPlvP7HCaHb6bNNUUBfUTvq9blYSaH4BjFRIAANjGdCm/DlPsEKdDZD8/P68LgYQQMzMzW1XuP2w1+jSATt+1rvONn/xi36P/dMU9B0iQawZ9CiJKFv5dt3G2iFfi7Yr/xhQgGaowiAf8E9t1/7JWU2GQrmgRcdmPfUzpQZ9lu99X1Y4+tfDDRy86e9egt/XtIXw3VUC61G2ttfluGoV7awUGgO0OCQAAbG+6PJpatvVdK7I3jZVbXvAzPEN+KLtO33UD38vvOfDNWuRO7NCDPkXe6vfN5cyMf7PtFzGzKfO3FvKVjGS1YhX9kzlHhWFULsdTgKzjUa1SWziSiv6jykotNehTqfrCwX5C/w1t69vz3l66IWFubs5uEe7mHjpXJWX49xMAhhYSAADYrnQxz9zcnD08R0v9UdNzfijpqtz8tf/u58B0c6lhyyLWTSEeeuJbb/hff3vFPQeIyDH9vrqRN5dzxyaEHvPfCOZZUdLv21L20wj940Gfeu2fVZju99XZQ1StRM2hPxHVlw43L/zLsLL8kv/ruIvO3tVP6J9hzU+H7zKdbGxnFwX1n1d0c/8AsN0hAQCA7cqM9m/b8tsawWzVeB9qDumGMPTPsNO3w8L//3zv5V/9wZNOLu/t2Nk06NPPCc9vLPmTDubjHb7SFf9KqaCuo382M/51xX8YhJWysgd9CiK9w9fRI6noPyqvVA891TiZmVnVjh48/x1/2sOjoQ1t69tPyf5avy9TFKRn9UxOTra9eM+twABwjEECAADbmA5Wppt389VPBvQCvw5rTI3QVtX8mLvt57HDMIf+Ha7z0BPfev10svDfUvHfWPgnoqS4n5N+X/sg6YX/ep2VSpp9dXUQ64V/2W7Qp6ylF/5ZUFReaRr1IyUrdd5f/Gn1yFO9Lfx3CKzt0zr8rPrsx9UXb20RTn3rtnnFursCA8CxB/sAAMCxYHp6Wghhhy9mLPrWdvpmOEef1h7TvqFL6eyoz0t1njpvXH7PgcvvTUJ/a9WfdMW/56f28mJiNgG/IPMqC6IgUlFoH9RUELYJ/QWpIJS1alIpFIvKK2F5xSoyYlbqorN2vepF/08Pf0nMD6Hzw6UuZ/CvlR92/lvU+osw+wbozERfs/OA/z5TUwDYdpAAAMAxQj8EMEFSJpF3z7qMj7u8lP6i/8/SOdDs0rrhrHH5vQcuv+8ACXJyecdPKv6JhJ9zzaq/HeXr+N/e3ksQMXEYqjAUTW8Q+r9VGKioueJfkGCS1UpUsRb+BRFTVFlpqvhnJuaLztp18dmnbvSH0H1KNttxC611g/vO2Zp5LND6UrFY1FsH6D9OTk6mfuldZi8AcExCCRAAHCNMIZDuDdiqeoYhbM9NXarPMqRuyl0uv/fAv37T2y+/90Cj4l8km3T5OcdPV/wzMeuO30RT2Y+u+E8OxM0AUsp6taniPyFb+n1VGFQPPaWjf0FEilmpi848deF7j/QT/XdZ89PPDP61fvVd9hLoMUFti4I6fGsAOOYhAQCAY4dZ7zxmQv/huVTncNZ2+b1J2U+uqeJf+Dl3fMLJtan4p3Zr2DKKZKWiwoBEnD1wkkaoMJC1Kstk0GeSLchKpX4k6fdNDkbllfrC4cZ1FTOri87adfFZvYT+3aRkXQ7b6Sa472FMZ+u3TvUGoNkXAJAAAMCxo/+V8t4M+XzPTej01Xbfedev/I837bnvAHmuMzEuCo2if5HLNUL/JCUgZtW88G+oMOIwZEHNuwETEakgaCz8Wy+ahX/7cvWFxqBPVsxKvublL/3ER/ZuNPrf0IjPLofttA3u+28FXutbz8/Pb/nW1wAwJJAAAAD07pif79l9YrPnvgNX3P+gk8s5hbw7Pi5cl/Qav+s6+YLjp2b866vGFf82FYayUuGmHb5Yj/1RYRCWV1vLfmS1UteDPq1LReWV6rNPmT0BmJlYXXzmrk/cuve1rzxpoz+Hbn4IQ1Lz0zlzmJub0z92sy0GAIwgNAEDAPQoq/bcDIf8dN+h2+VdddMz8P5bb7vi/gd1m68J/YmImBw/3tyXyerrVcmUz6QD2HT9qijk5rk9jZfCsFPFf/N0ID3tJ74CMylFRBefteviMze88N9NN3mX3bo9z/npuRV4rYvrNAMJAMDIwhMAAIANy7Y9V3+RyZCfbjp0u7lO9x3De/YfuOozn3NyOSef947bKTzXvGSif42Tsh+2Q/VkzV6xUvU6h1FyhM1/ZBhG5XJjLd+8JQzD5eXWHb5qzz6Viv4vPmvX4ncf2VD0v6GaH+qjoH+gjwU6XxxtAAAjCwkAAECaiaTbvjTMQ3562MW27XW6+XTvv/W2f/H6N+y57wATCd3vqwlycjl3fMKO/omS/b3M2r8h4h2+FKvW76KC0IT+qYr/cGW5dcx/1DToU+nov4eFf9rgtr4DDe4zvzgAjDgkAAAAXRnCGv0ML7XR6+zZf+DKz3zOHd/h5HPezp1OPmdW7B0/F2/ua0f58agfbhxsGvQZJBU8jfSApbQX/m1R66DPIKg981S02lj4Z6UuPuPUnhf+1w39hza4z2rkKwAcw5AAAACsYwjj9QwvZR53dHmdh775rf/213+zZ/9+EuwUck4+R0I36ZLj59zxCbIX/pOyn7VCf1mtqjA0ZT92eY+s1cxlzHFZtQZ9JsLVpkGfcdnPmRtb+N92NT+tF193/CgAgIYmYACA2NTUVGrH1tlMN/TNfG/gzd9meM/+/XsOHCAip5AXuRxRo/XWyfnC90xTL8Vdv0ypiv+kFZiDqKmAJ3lJKcn1sDHj39K6wxcR1RcOm+ZgHfq/9hUnXXzmrte+ottRP913TmfSrdtbK/C6NznbccthAAAbEgAAgNjc3JxZoDWGKl6njYfsHa7TzXwb46Fvfmv3x/d/9cknSZCTzws/rvhnQcLPuZ6Z8c9muZ4FC9U07Ud/rYJQhSGRSE/41xX/QSBafk6yUpGVdOgfrq6Ymh/qY+G/m7h53fxtC4N7c/G5ubkOHwEAwEAJEABAgy69KCUymcxjrtz/pTJpGu6hdmjPgf1vuGLPV5980snn3Z07RS7Z31eQ8HOO77OwxvnriiBWxGwdjP9bhZEKoyQnMP8RRMIM+kztDLBm9G/3+0qpx/x3H/133znd/fZbvdX8dLNx2Fo3iZofAOgBEgAAgAYdrhWLRR3J9TMofRBDfja501fbcyAp+8nnRT4J/YmEn3PHJxr7+9qBu7WS3Sjrj6KoYlf8Wy8FQbTaZocvDsNoaTkV/UerK7VnnorKTf2+l5yxa/Hb3fb7dr/BWZ9zNrss6O8tuO+yXxkAoBUSAAAAonbBsS6oEG0KVTZ8qQzvqje9tYfuPrD/V/78bbs/foA81z1+pyjkzEsil2uE/o24X0/5Tw/6ZKEX/kO9oW/yqiASLIQu+0lfSg/6XG4Z9Gkv/BOxUqTUJWdsbOGfusjKutxbt+dRPP0E990nMAAAbSEBAIBR1yHUm56e3lDhfrahf1bVHb1tELb74/v3fOKArvh3J8bjo4LIdZ18wfGbB302pv1YPb96mqdSqlZPxfEaB4Fst/BPRFEtXfajgqD2tDXoUzFLefE7T13ayMJ/l/Mx+6n5WTfXWje47yfxAADoBhIAABhdQ7hUb66mv8jqrja0Qdhld9/1L97yxj0fPyBc1x0fb+zwRST8nFMokLXdbyP058agT5MDcBSqWo2VTF4SJOLqfw6DOPRPVfxXK8GRI+myn/JKYA/6VEysLn7nrks2GPr3X/OzbnTeTUF/5+C+t8QDAKB7SAAAYBQN51I9NQd5m1/uT0S7P77/8k894ORyeuFfWLG+KBREUvbT6PplHf2bk+L/ZiIOQxU0D/rULympqrW2C/9t+32DhcOphf/XnvzS+2/e2330TxsJ/fuMzgdR0I8B/wCQLSQAADBauonXu19eHcSQn/47fXsrEH/f7bf9i7e8cffHDzCRyOcbC/+CRD7nTEwI19V/jK1R8U+CVBjKSkU2lf3EA384CFS1Fo/5tyv+K+0W/ldXas881Rjzrxf+z9h1/y17uxnz332b7ECj8/47iXuo4AIA6AAJAACMkCEcyklZP47o7ZZ2f3z/FZ/7rMjlnHzeO26nk8+ZHbxELid83wz/ITIzPJnsyT+NQZ8ht6v41y+tVfYjW3b4CsvWmH9mVkpH/5ecsf7C//aq+Vm3k3hDFVwAAOtCAgAAI2Gj8XqpVFr3UpnE61mNc+m5QPx9t9/2y3/6ht2637eQdwo5E52LXE5MTJDfGPSZVPyT3etrDfoMZaXC7Qd9htFKWdXTZT8qCuuHj0StC/8Hn5IrTYM+Lz791KV/fmTd6L/7apnhqfnpYUwQAEA/kAAAwDFuyDt9t/YBwu5P7L9i7rPujgmnkPeO35kq+xFJ6G8F+0m/L7UO+gzt0N/OAexBn/aMIFmphEvLqVuK2u7v2/XCfzfVMn0W7Wzt2wEA+ocEAACOWcMc+mcyzqWfu/ryt771x//nb3Z/Mh70GYf+gkiQyOWciYlU2U9c8pMK/fWgzzBZ+G+hgjBaLbct+wkXl6O1Bn0y6Q/FUl58+juW/umRS965TvTffbVM/0U7W/h2AIBMeFt9AwAA2ZudnZ2ZmZmZmdnQFP+1LqW/6P9SlN2N9XlXuz+5f/cnDpDZ3NeU+zMJv7HwHxNEqjHj38zzjMP0KNQz/lmQ4KaXTMV/4yUiIooqFVlOV/xHqyvRStPCv9AL/12E/qVSqVgsrvujMD98vcVb2xNo7R/p1r4dACBDeAIAAMeU4ZzHn+2N9XNXX/7Hb/3x3/9NKvrXhJ8TExOU89Pvaa74bxzWO3xZgz4bFf+htfBvE+0GfQoKj1qDPplZSqHU/Tfv7Sb6p+629d3aoh3U/ADAUEECAADHiGzn8RPRcA756eeudn9y/+uv3vPwj590Cnn3+J1N0X/Ob1T827U6LRX/OhXgIFS1ZJpnMxWEjWbf1KDPQ4dT0b9cXakffEoFgSn7IaUuOWPX0j898tqXdxr02X0ZVed8qf+inXWHeHZOLbLqAgcA6B4SAADY9swCLQ3ZUn2G+zf1f1e7P7l/9yebF/51ib/rikJB+L5dppNs8tWm4p90iK8r/pvL+lnKqFprHfVDcdlPJXVQ2mU/etCnUpe8c52yn95GfA5uzs+6Qzw7pxb9Z5gAABuFBAAAtjd7gTbDILtYLHaYBLrRG8vqrnq71GWf3P8vTn/bZfcfIN8VO8apkDNr/CLnO2N54SX/WyA4TgPY3t3XWv4PQ1muqDDklpdUEMpKm2cCKgqDQ4dlpSn6j1ZX6gefMtE/K2alLjn91OV/XKfft/sRn30uzA90iKedWvTTBQ4A0BskAACwXWW4TdKAhvz0eWOZPEC47P79ux9IZvxPjMe7+RKR54qxQqPf16zlMxGr+MvUAr9e+G+uBdKaBn3aZT/lSrS41HxHHK00D/pUvKGF/3V/FJkszK/1jfpMLajrHAYAYHCQAADA9pNtVX2GAdkgbqzn67z/3rt++S/euPv+A8JznYlxu+zHyflOIS9cp6mGRzT29zXhPVuDPlXbQZ/19oM+VRiGi0uphX8VBLWDB1P9vq896aWdF/57q/npc2F+QDU/aPYFgGGABAAAtpMRGfLT/wOEy+7fv+ezDzi5nJPPOxPjwnNNdO74vsj5TZX9OvRX3LysH3+tojAe9dPaDFAP24z6IZLVSrS4lNoZIFxdDY4ciS/ASb/v6bse+NDeDh+k+5qfPoPvzan5wcI/AAwDJAAAsD0MqEonk86B4en0JaL333fXL7/jjZc9cIAFiUKexhqjfpyc7+4YF7k2ZT+Nin9rFZ/DQJYrKgi5JfTnIJQr7Qd9qtZ+X0Hh4SPSrviXkpS6/6ZOgz43WvPTc/C9tTNAAQA2HxIAABh261Zdb/RqQ/gMIavPeNkD+3d/7n6R951Czj1+pyjkiIgFsSCR8+PQXzRH+Yr15lOpKJ/DsG3NDxHxGgv/qlwJnz2civ6jldX6UwcbHQIqXvhf/tYjr1tj0GdvNT9rndDhOlveDwAAsCWwEzAADC87vO5/WMpsdtsD21fLKovo8zO+947bdn9qv7NjghqDPuOP6fg5HfozWaM+BZEiZjYb91KyZS9LxWEYz/MRrDOD5CXJ9ZCjduP/2w36jFZWpT3ok5kUn/I7v7nWwn+pVJqfn6cuNsRd97e57i/I5Aad3955494OFUFd7k8MALD58AQAAIZUhtF/D6v+xWJRR6KZXG3dG+vzM172wP7Lv/QZZ8eEk8/HC/+m4j/ni3xjrScZ8E+suG3Zj4padvhKkgYVhsoe9Jm8S1Yq4aGWhf/V1fpTB2Vq0OeuU8//k/98yu/8ZttP0X3f8/DU/HToB+i/ugwAYECQAADA0BnOAn0aTOjf56X+7oMfeP7bXn/Zg/tJkDOW1zU/WlPFvxnwH0/6aQn9k7IfDtqX/ahKba39fdsv/C9bgz4lE6tLTt916RoL/933PW9tzU//uQEAwDBAAgAAQ2Q4C/Rp+Dp99XV2vuqlH/jOI86OCaeQd4/fKfK5uL5fJKN+0lhX/DcN+DcV/5UKB+32962HcmW1dYcvDsJoaSkV/asgqD910ET/zMyRfN1JL33gxr2Xnt4m+u+++WHT5vx0mAHaT24AADA8kAAAwFAY2iE/lGmnbyYx4uzsrP9Lz73iG1+YeMWLGwv/SWuvcF13YlzkW6J/PXnTPAew+4CjMB36m2k/9bCx8G+9S1Yq4eKSan5cEK2uhoePNE5mJqkuOX3XAzftbdvv232pzEBrfrq/fm+5AQDAsEECAABbbECh/7AlEhlmEe9/8L7n/Okf5n7tX4kx3zlhBxUasb6T852xfPwHa9oPM1tlP40cgMNQlStty364nhr02WhmleV02Q8ThYePxAv/HO/wpaf9rLXw32WpzCbU/Aw0NwAAGEJIAABgywzzfM9SqTQzM5PJ1bLKIvR13v/gfROvfDEROYWcyMexPgsmTziFQmPQpyUO/ZvKfpiIOLAGfTav/asglGH7QZ9BS7+vXFmt/+KgeVBgdvhaeeKR1ui/+x/spsXuGPAPAKMGCQAAbAG7ZGLYQn9ztf5HfGZY7q9D/+ef/ZaJV75YeK6zY1wU8maN38n5TqFAnhXjm2k/xG0Ke4JQlSupnXrj0L8eRitlu+ynse9vudza7ytXVqNla9CnUvHC/2ntF/6pux/skKzrY8A/AByTkAAAwGbLdr5nts8Q7KuVSqV+LpVh6E9E73vwvolX6Yr/nLNjXHiuOcfJN/p9WTDrCh9dh9M66FMQB7riv00zgFqj4r/tDl9yZbX+1MFoZUVfnjke9LnyxCOt0b/5IOv+xrc8dl/3+hn+lQMA2BJIAABg82RYUm+GrmTyDIGym92e1TQYc5337r/zg89897JP3Sc815kYN2U/pAd9TowLP132Ewf/KYJYKlWtWQv/VjOAlLJSW2t/X1lpt/C/smKuEZf9nNZm4b/7XGj41/Ux4B8Ajg1IAABgM2RepWNCsUx2CM5qdntW02DMdcZf+eLdc/eLnO8Ucs5E88J/zhc5v7myP9nhi5PnABYOQq7WSKrWb8f1UJZrrfv7chBGiy2DPutB/RcHI3vQp5Sve9lLH7hhbyr67z4X6n6+/lat62PAPwAcS5AAAMBgDahAP5OhKxneW1Y3Zq7zB+86/YPPfveyT9+ny35EIWem9zTt8EXW2r+u+Dd/snKAuOynpRmAiONBny0vqXIlWkgP+pTLq+Eha9CnYlLq0tN2PXDD3ted3DTos/tcaN0zt3ZdHwP+AeDYgwQAAAZlW8z3HKqNvcx1xl/14t2l+0Xedwo594QdIp/s7yvYyXvtdviyBn2mRgCl+n3tZoB6IFfKKqi3Xk21DPokovDw0ah5hy8d/acW/rvPhbqZr79pNT9t1/Ux4B8AjklIAAAge0MbrGd7taz6Qe015sLv/PovveNPLvv0fUTk5HOikCNKNvc1C/+p8h5uGfRpVvHDID3qx7ypHqRW9+MpQKvt+n2XV+u/eDo16PPS03atPt7U79vND6RUKk1OTprAeqtqfrovOsKAfwA49nhbfQMAcEwxE37aNKH2dLVSqVQsFjO5WqlUmp+fp+7urVgs6li2w71RRm0D+jNOT0+//9P793zlM87OCaeQhP4Ud9nGFf/mxgXrGT32pB8bh43NfYWe5iOSht0gULX2WYFabbPwL5dXo+XV5Lp6thBfuqvNwj918QOZm5vTP1j9kVtPWPfXNDs7OzMzMzMzs+4JHXID8zNf64QONwAAsN3hCQAAZMae79nnpQYx5CerWo6s+kHtNebC7/76L5363y77h3tJsDOWE2M5c5rwHHfneGOHL7t8n1U6+hdEpuLfnGeeGAjieqDqLdG/YLlaCZ5ps/Af/PxpE/2zYlbq0lNPXX0svfC/oW199TmlUql10Gr//QBd9vL2XHQEAHAMQAIAABnIcL4nDWzIT/+1HIMo95+enn7/P9y35+F/cHZOOIW8e8LOVNmPM1aI/2gIq+K/WVzxH7RZ4OdIyuVyHP039wnI1aoO/e09AeTyqjQL/6bft3nhf0MjPu3QXP8uzC+asgjN180Y+yw6AgA4ZiABAIC+jNqQn/5DfzsM/fI/f/O/XDF72T/cR0ROId8o+yESruOMFUTe6vfV0TkTKyv0bx31Q+n4nohUEKhKrfUlDsLo6LJcTQ/6DH7+tLQX/qV83cte+uC+vanon7r7gbQNzYvF4tzcHBEJIbpctu+nl7efhgEAgGMMEgAA6NHQ9uZme7V121U3dCn9hb7O+//hvj++6bKv/PyH8cK/Vfbj5HxnvCBchyhV9mMVpjdafpmk4mqt7cI/EalyrU3RvyC5Wg0XllsHfUaHjja+nWJidempux7c1xj02X2dTDfVQR0qgii7Xt6em4kBAI49SAAAYMOGNlinTON1yq6robVE6r9cOXvZZ+4lwU0L/0nZT7zw37Raz3qHr/TOX7rsp1bj1A5f+qV6KJcrHCkiq1lAEBFFC8txxb91wejZo9Lu95WSuKnsZ0M1P11G3nNzc6YiaGpqyqQB3Szb99MwUCqVMhniBACw7SABANg8OqDR2i52Dr/Mg/VsI7AMu5DtS2VY7k9E7//Mfb98wZu/8vMfCM91doyLMZ8E60qeeNBnm7IfHfq3rP0Tca3OQZQ6GL8UhG36fYnkajV45kjrwn/wM2vQp2KW6tJdu1YffeTSXY3onzZS87OhZXtdEWTSgO6Th54bBmZnZzNpWQEA2HaQAABsHjO7cGZmZmpqyoSY20LmK+uZD/nJqgvZXKpYLE5OTvZzndb05rLP3Lf7M/cKQe5Y3t05LjzXnN9+hy9mvfIf/9Ge5xOEarWaXvjXb6qHcrnSiP6T3IB1v6+p+E+Oy+VVmezwRUSsVNzvuyu98L+hmp+1TuiwbF8sFju3fWdY8zM3N9d/izkAwHaEBABgk+glfx2RTE9P62RguzwHyHBlPXW1DIf8DE+nL7Vre33/J+/85XP/x2WfvZcEOTvGddmPECQEuXlrhy97k6+2m/sKJt3vG0bJEbK/4HrYGvoTkSpXwmcOp/p95dJq8LOD0t7fV8rXvfRlZuF/QDU/656gP7hdEUR91/x0cwIAwChAAgAwKGs1NWo6B9AbHg2zzOd7DuJq/cdz664r93BXdnpz2Wfv2/3FT4q87xRy7gk7hO+YQF/v8CVSIT4zK2vhn6xVfL3wH0Rki0P/QK6U25b9qHIlFfpT68I/s1Dq0l27Hty3lzb4MxlEq67+S6IfpGRS84NmXwAADQkAwEDoqEXTaYCOBe2yH50DDG0h0Eh1+nZeV+7+Oq2fMV74/8y9ROQUmnb4cvKeu3PMlP00cgBmpjaFPbrsh4OofTNA2x2+iDgMw6fTC/9cD4KfHZRLycK/UhxJUurBvXsvPTVe+O/yZzLQVl0zKrTDxr3rdpJk+3cPAOAYgAQAIHs66NdbNRWLRZMD6LIf+8zUH4fEMIf+lHWnbybbDqz1GS/77L17vvQJp+C5Y7574o44+jejfuLNfe3xPFbFv10LpBf+V6yFf7sZIJKqXGu/8L9aiY4uNR0SLJdXw2ePNK7MihRfuuu08iOPvO6kk7r/mWRY89N52d70BwshUgnzup0kqPkBAGiFBABgIEzth73Mr0OQ1ocAW3B/axj+0D/zTt+syv1T13nvvbf+8hn/dfdnk4X/Qk4QC2oe9dOo3ee47IftrXgbUT4HIdeba34SXA9UucaRTL2LgzA6utRa9hM9e9Qs/OtCI5J86a5d7zn11A0NZRpEzU/nE4rFot0Y0LbUqu0VEPoDAKQgAQDIXiocmZ6eNvFQ297fYWgFHuYSnWxvL8PZo2uFmJd99t4rvv4p57gJZyzXWPgnIiI35zl5r3FqU9lPHO439QMoydU6B1HrlE8SzPVA1cI2+/6uVqKjS9w66POnT6uaGfSpWKpL33Fq+ZFH33Pqru6HMg205mfdE3S4PzU1NTMz0+HBAgb8AwB0gAQAYCBaS330Eb3kb4qCdKCztbMIBxGs6y+GLfSnLipGbMVica0u7bXu6r333vrLZ/7XPZ/Xgz5z9g5fwnOd8bye8S+aynusOZ9JKK9zAA5CVa23H/RZC+VS2Yzttyl70Gfy3eXyqlxaNQdYKVJ86am7dOjfeSl93U/desLgWnVnZ2dLpZKO/mebNw4zJ1B242UBAI5JSAAAeqQDkbaL921LfcgKTXQOIIRo7QrYTOa5BGUdrGcSfmW7jtt9mNvldVrvavfn7r3yG59yj5uIR/0UcnrKJxE5ed8Zz9tT/+McQM/5bBoBFP+3tcNXuuWXa2E69BdERGq1Gh48IldaBn3+9GkT/TMrjuTrXvqyT12/Nzr4dJfJ1bolPd3U/PTZqpvKLuyNw/S3zupXDABwzPPWPwUAmpVKpampqWKxqBOAttsJ6cjejmPsQH96elrvMLWFYYpOYNaarNLD1cw2Z/1frVQq6aX3TCK5rO7N3FXrdb787W/u/tw9Dz/1AyJyxnKi4BMxJfX8zkReuC7Za/xMxLro36z5U1IBlIz6IRKCkicD8dW4HpoanpR44d+6DhHJpeaFf1YkGwv/bT9Lq3X/qnRzAnX8ba57M2udoDcOs7OLdT8OAADgCQDAhumAcm5ubm5ubq05ntPtRnzajwvW3fF0cLIafZO6WoYVROvGi5t/bx3q2nd/7p7Xf+S9Dz/1A+G53ok7rLIfFnnP2TkuXJeoeZk/iVSbaoGSsh8O28zzobYL/0QkWK1Ww6ePtBn0aS/8x4M++dJTd5mF/+7L/bvZumvdmp/eWnW7OWFmZkZfvLUiCAAAWiEBAOiKXS1jRxiTk5NrBRypHGAY4pLtMuSn/8wkw8aGznf1x1dP7/7cvUTkjOXcnWMUD/kkIhI5X+R9SoX4Zs5no9w/GfVTD9VqJe7cTQ7GzQCRlMurcfTf3PKrVpIdvqzjcmk1fOao+WNc8f+OXRf+4R/95a7TKIuan25KerKq+enyBFMRpL8vAACsBSVAAF2xV3/1zkT2cXurL5vuU9TFP6mKoE2WbYmOyWqyqrgY0O31+QPXJV5r3dXuz92z5/P3EpHju85YTtf3x+v6Od/J+9Z4/6QcKHWdpFxHCFa1KDW0pyEIVbVN2Q8HoVypchCmcoLo2aONMiFmVkzMr/l/fjM6+DRlV/NDXZT0DKLmp/MJ+sHaMCTbAADDDE8AALpl1kRN9Y4ZSNJ2Ggkl+5jOzc1t4TjCQazT6y+Gc8hPJl3I9tjWttfZ/fl79szdQ4KdMd/dOWa6e4Ugp+DHo36aN+olVkm4b11IENcjtVKl1rIfwfEOXyaat7qB1WolOrqc5Azxcd3vmx70+RenXviHfxQ+9TRlWvPTTUnP4Gp+Op+ADmAAgM6QAACsz6wEpyb2TE9Pm9qDmZkZMzKyVCrZW5ZuYa1/ttPQMx/yk+H40QGV+7cmdZc9cMe/vOD1ez5/DxE5hZwzlou38SISed/ZOSZynmja3Ddp+bWYHIDrjYX/psRAV/yndvhKqJWKXK0mV4/JxTaDPsOnDuqan2629e2/pGfLTwAAgG4gAQBY3/z8vF4J1vNG1jrNpAd64X+Tbq4dO4QdwnV6yvQxQrahf+f17z2fv+eKhz7u5H23kPNO3OFYO3yJvCdyjaLKZMonkWJhon+7H0AprtQ5aLONF+nov9Z4JmByA7VaCQ8eiaP/hFxaDX7S3O8rI7m0Uvvu999z6mndb+vb4W/LtjgBAAC6hAQAYH0m5igWi2uN7ddjPY2sxmv2wI6tM5mhOaBO3/4juXUbVXu4q7UuddmDd/zKhX+yZ+5uEuyM+6Ip9PedHeMi56feIojNwn8jyBdMRFyPVKXOSlHzy0LoHb4qqt6mH0CtVFOhP7UO+lSKWIW/ePqS//nGz338E93X/GRS0rNVJwAAwIagCRhgA6aT/bz0F7oaYXp6en5+XtcIbe3tmVbarCL1DBtzM79gVvsYdNPQvGfu7iseOiDyvjOWc+Ipn0xEzELkfSfnU0t/b7z2T8RJdJ90/JKq1jhq/71ULWwb+suVqlxJh/5cC1pG/SgiCn/x9HtOPa2b0F//ANf64P2foDO0ziestbVClycAAEAPkAAAbMz09LS9gG2KkjHkp/MFs709fbX+66zWrUT62sJP/+W5/9k9bkIIMtF/POrHdZ28L1wnmehP8UvMxI1dwASxyQEoiKSO7wXFJyRpgTI7fLW8JFebo39BxCSXVuViquJfdRn6k1VO0+cYn84nlEqldU/oZ38xAADoDUqAADbMdAPrWn9mxpCfDlcb2k7fdSuRHqPDz/2jl3vHj7vjvv+ciWTtn4Qgt+A743nhOtS8mVej7Cd1kIiDqO3qPglStfb7+3IQRkeW5UoldTx65mgj+mdmqUipS9+xK/jFwaGq+Wm7SXbqhLWafTPcqw4AAFKQAABsmCkE2trbGObqfHNB/UUmoX9W41+6+bm9f/9HfuVd/+nyubuJGgv/QrCO9Z3xgsj59tAeIZiYSSlibhw3O3wFkVqJy/rTzQCRVKu1dPQvmIjkSjU8sqyaNweQi6vBT+xBn8xShT87eOH/91/e847T+vzg/Q/h6aYro/8TAACgT0gAAHqxtQuTg5vvOZy5RFbjX7r8uV1euvvqx+73jptwx3L+c3a4zf2+3nFjeuGf7MGdzIJU4zQrB2hd+G+8qV5XqzWOZGoAKMVF/+mF/5ZBn7yhhX/qIuzuc0qPOWetE/oc8A8AAJlAAgDQiy0c7T/88z0HtLFXnz/zbn5uD33niTdc91dXlO4mQe54zkz5FIKEINPvm675UUqX/TQdF8T1SK5UVRA0zrRwLbAHfRpqpRo+dTQV/culleZBn8yRfN1LXvapa/e95y+6XfjvJuzuv+anc0lPh2cL2f49BACADtAEDLBtZF6dP+RDfrK6WpfDkS4v3X1F6W4iEp7rjuWEH2/uy0xO3k9m/DOzoCTWZ6UnATVGAAkRn6DqUaN6R8Q9wbohWIf+3PySppJ+X/uaclH3+8anmYX/bkL/zj/Dbsb4rDuExzxbGNwJAACQLTwBANgGMq+oybbMOtuSpEF0+na+1EPfeeIN1//llfN3CcHemO8fV3D8xv9vdPO+k2/Z4SsOWJMw3q7hUVJV6hyErYU9tPbCP69Ww4NHU7M+uRYEP37a9PvqhX+S3Ub/1HfNz6BLelDzAwCwJZAAAAy1IR/yQ92V1nR/qU3b2Mu4onTXG+/8u68//T3Hc7ydhUbZD7Gbd92dYyLvUSrEJ2bFcfCfHI/HgAaRqtRZKvsgEZFgVQ8ja4cvuxtY2WP+kxfk4mrzmH8mpS79i13lrz7WOfrPsOZncCU9pVIp2z4WAADoHkqAALaYEKJt8cPgSnQyDP2z3XdMf5FV03A3P7crSnddOX8X6VE/Y40dvoiFk/dE3jc1P5SU5ehJ/0IQc3qFX1XrHCmyCoEaL9VCVYtab4CDUK5UuSZTx8OnjzZGAzHrWqNL/2Kdhf9uan46n7BpNT+dtwgAAICBwhMAgKEz5I25mV8wwwKn7ktKLv/0R39t9g1Xzd8liNyxnD3qx8l73vEFkff1HxutvWaTr9RxQSqIopUqS2U9EEgqhephtFhRtdDUC5lz1Eo1OrzC9cg+LBdXgx8/zc2DPl/30pPKD6+/8E99z9/ctJqftbYIAACATYAEAGBrTE1NlUolIioWi/oLGvpIPfMLbn65v3bV/F1Xf3W/EOSN57zn7NBr/4JIEDl5z8nHo35MEC8EC1Icj/ppXCduBa5H3HaHr3jhv/1LcqWaqvgn3e+70DLo8y9O+9Q1+7r57JnE5T3X/Kxb0oMB/wAAQwIJAMDWmJ6e1guuxWJxfn5+EI25CP1bXf7pj77gPf9Vl/24YzlnzHcEO4KJSLiOO553875du6N3+GLVVM9icgBVD9vt8EWkd/gqV3X0b+UMTERqpRI+daQp+hcsF1frP37aRP9xv69Sn7rmhg4L/5nU4me1dVfnfmI0+wIADA/0AABsjWKxWCwWdU22/pqym++pv8iqeaCbuvAtudpGL3XV/F0f/Np9bsFzx3y96m/e5+Vdkfc5CeOFqdfhRquvXdkvBMlaaKp3Urgeymoc+qebAVYqcrl14b8cLbYs/P/5aR1C/6yK9fUY0A6Be+c2j+5PwJRPAIDhgScAAFtPlwANWyutuWDnuvCtutqGLrX747e84IL/+IEv3ikEu+O+vcOX4znOeF7k0zt82Qv/di0Q6fh+uUpBZB+k5CEAtyv7EcLs8NUU/ataUP/RM1HLwv8lHaP/DIv1e675yeTRAQAAbAkkAABbI9UNqacimmaAfi6YyURO6iJG3KqrbfRSV33hY9d98xPe8ePOWM5/zg53LGfq+52c54znHc+JOwA43q+XmYnJXrpv5AZBoFoW/vWrqhbKuN83NTaU5HLbiv9yeHDB/NEs/K9+5fG1ov8hCdz7z0AAAGALIQEA2GxtQzQdz+k2ykwumPkdDsPVNnqpPR+/+dcu+I9Xf+Fjgsgby3njOfvVZNAnkV681xE+k1CqZWAPERFJqSp1VY+sBwKNF9fs9w2C4BfphX8iip4+ahb+iZmlIqku/fPTLl0j9B+SwL2bDAQD/gEAhhwSAIDN0zZ+NVOAisXiRuukhz/0zyoW7Cb8Tbn6Cx+7/luf9E8Y98Z9/7k7nPEcEQlBQpDI+e7OMSfvNY/6IUHxlE+HGr+IuLCnHqpKPObfJgSpWhgtVrgeUAu5XA0Pr6QORour9R8/o1KDPl9y0oMfvGGt6H9IAvf+u4EBAGAYIAEA2AxDHqlTprvwmgtS1jsEd3mpr3z38TfecOkHvvgxItL9voJYJDG9k/O9guekpnkyk2rM+KfmHECV67rsJ9UMQB0HfUaHV9os/C+uysWy+aMp+3nwgze87mUnt/3sm1bz088YH/sEDPgHABhymAIEMFiZz+TJ/IL2NbMK/bPaIdhcam5ursu3XP3FO6/Wob/vOmO+47sq+Tm5ec/Je2YsjyNImbIfM+7HGvXjEEf1KFXx3zhBRrIacaRE8mbzklypRkvV1FuixVW50BT6s1REdOmfn3bpn7dZ+DcjeoZkzk8/twEAAEMFTwAABqjLwNreCyyTC3Yv29bhLSz3J6KHv/f4m2+85INfulMIdsdy3nEFx3eJSE/6d/K+k/eoedSPI5L9fa2C/sbqfj0yo35SVC2UK20qgkjv8NUy6LNd9M+X/vlpqw89vlb0TxktyQ+65gfNvgAA2w4SAICBGNxMnswvOISdvj0UI139xTvfds9ff+PZ7zqe6x9X8MY9E8c7ed87bswruObk+CUmVo3SILJyAA7CaKWm1oj+5WpN6TH/yXv1G+VKNfjF0VT0r2ph7UfPNqJ/Zg5l3O+7RujfuZammx/1Ztb8oNkXAGDbQQIAkLEeAiO9GXCGF8z8DjtfLcPmgd4ecVzzxTuv/dKdDpE/lvOPLwgvjvWFYLfg6YV/InKstX9BbEpWUiM7VT1S9ajRM2CP+qmG4UKFI9l6D3rhv2knASK5WA6aB32yVJf8+ekrDz3RGv1vzpJ8NwlG/7cBAADDDAkAQGaGPFKngXX6UkYbe/XwiOMDn7n1d//PH3/wS3cSkTuWc8b1fl4kBAnP8Y6LR/2Y8x3BeuGfme3jOgdQ9UiuVFvH/OscQFWtft/G5l8sl6v1n6cX/oWg8OBCZJf9SEVKXfL20wdd87O13cAAADD8kAAAZGD4Q38aQKdvViVJPX/Ya75453XfuJeI3LFc7rkT7rhvFuvdvOdPNKb+m3GfzCRI2cfN1xxEqh7aB81DAFUNo4VK22k/crkWtVb8L5RrTz5jztf7+77uJSc9cPWNbRf+N6fmp/tBoj0/GQAAgG0BCQBAXzKJ1CcnJ00TcOaL9JRpsE6ZJic9x5Qf+Oytvzvzh9d++Q5HsD/uueO+ecnxHG88p8t+dPtv/AITsYrH/Det/TNHKlqu6ujfHIy/IFbVUNbCRotwco4KwvDwStRmf9/Vxg5fetCnVJf8+ekPXH3j617aNOgzq8i+z27gTJ4MAADANoIEAKBHA4rU9ReZh/7D1ulLfcSU1375jr3fuMcp+O6Yn3vuhDueM4G+k/e88ZzTNOU/KfuJR/1w4yAR6Yr/ak1/nW4GqIbhQkWusfAfHlpJNgeID0YL5dqTz5qyH73wr6P/S9/eZuGfMorst/bJAAAAbDtIAAA2zKyYUkaRuh4DOsxDfijTvs+eY8orP/mh377k31/7pTuEYG/C8yd8ey3fK7hNo370f8WjftrM6xRSynLdXvgnexBQLdChf2rUDxGpNcp+mir+lSKlLn776StffiIV/W9aZL8JTwYAAGA7QgIAsDH2iunQRurZ1mpn2PfZz4e97st33PRPB3InjHnjfv65495YXOLvCPYKrndcoXXMv1n4J2vJX5+g6pGsBEIp+2D8pkhFK/W1Fv7rP1+won8mIlUN7IV/YmapSNElb08v/G9yZD/QJwMAALB9IQEA6Na6K6Y9X5CZu98LbN1r0lAmJ/1c6qpPfuh3Lv33137pDiJyx313TFf8mzH/npP37aKfuN9XMZlNffWZSZTP9bB11I9+l6yGcrWmB32muoGj5ZpsqfgPj5brT9mDPpWK1CVvO235S09c0hL9d/742+XJAAAAbHdIAADWt12G/GRYqz2Icv/eLnXdl+/40D/vz59Q8Ce8wvPG/HHPvOQUXP/4gpOPO4AbOQCzWdonq22XiFQtipZqa435l/agT4te+G/d3zd4arG531eR4kvefvolbz/dPm3YInsM+AcAGHFIAAA62bRJ/J33AtvMm8x8Y6+ey4e++r3H3n7zhXsf+qgQ7E2Yhf94to9T8Ny8nvpvj/knYtYF/469xS8REalaxEGb+N4RpKpRuFDlpB+gMfNHcNtBn3KhXHvyWVUL9B9ZKY7ka1980ievutGO/rdRZI8B/wAAowMJAEB7wz+JnwbW6UtbXe5PRNc/dPvpB6YfP/Qdx3f94wremO+IeLXezXv+cWN+vvEoIM4BFLNkuwXA5ACqFoVLNRkP7Wkz5r9txb+qR8GhFR39CyudiBbKYVO/L5Pii992+v1X3fS6l77c/gl0/vhDEtkP4q86AAAMMyQAAGmD2PAo20n8NJjQf8s39tK++r3H/uLmC/d9+XaHKDfu54/LO35jto9X8Bo1P1ZQTqySdt+maZ4OsapFsh41T/iMqWoQHq3Iaui0jPqRK7UgGfRp6EGfYdOgT6Wj/7YL/8Mf2aPmBwBgBCEBAGjIfMIPdR0N23uBdZb5cMYMc4n+723vQ7ef8fH/9fjhb5Ng/7iCLvtxiB1iJ+/5xxXcvGdv7+UQO6xYMnFTLZCO4zlS4XLNlP2IxqtJv2+7hX8iiuyyn+Sy0UI5PJpa+FcXv+30pS9+00T/2yiyR80PAMDIQgIAELOrXzLZ8GhARUQZDmccUPNAz5fa+9Dtex/6KBHpQZ9OTpjg2817ft61l/zjHICZOT3iU+MgjCpB22/EkYoWkx2+rFyCiKKl1KBPIiJVCytPPtuI/uNBn+qit77ThP5d7qc7DJF9qVTK/BkXAABsI0gAAIaiPmfdMaDZDmccUKdvz/e276GPvuKyP7zhodscYn/cM/2+ROT4wt/hO0nFv8kBmElYZT+GEMyRkpW6qkdOy76/gkhVw2il3vY2oqWmfl/9GCFcKNesQZ+kmKW6+K2nLX7hW/bCf+fkZ9OeDKwb2etbzfAZFwAAbDtIAGCkDf8mXHRMd/pqN3zlthu+chsRueN+/nnj3rhvinzcvOeN54TrNI360bt7MZMV2ZsvVD2S1TpH6a1/HcF6hy9Vi5IjyWuCo+VqtWXhn4jqTy2GRyuNPytWSl38ttMvfts7Uz+BDsnPpkX21DGJtW81k2dcAACwTSEBgBGVeVRtKkA2v3+ghwv2f5OZtCJc9/lbTv67f7/voY8SkT/h58Z9+/8leQXPK7SM+iFiZocb8b2dA6h6pEf9mHp/86qshtFKm8SAiKKlWrhco+YKovBoufKDQ7KaNAlI5kiyUp+88iYd/W9yzU83kX2H6jU0+wIAgIEEAEbOoEvze15btauAsi3RoeEr9yeiG75y2y2Pf8wf83IT/tjzxj0z5p/IK3j+cWNu3qPmkT6CmBXrIqCmEUBEqh7Z/b42R7CshrLa2Pyrcckgqj+7qqN/W3S03LTwL5kVX/S20xe+8K3XvvTltBU1P23/XmWShAAAwKhBAgAjZKD1OZmU5ptr6i+GM/Tv//N+8IEbX/G//92NX4n7fXXFv1l9dwqeHvVjzo9zACZmTtUCxV8Foaybwh4zDZSISFbD+tGqrDVN89TCpWr92fSgz/BoufzDQ8FCEv0rvfDPFyVlP0NV89N/EgIAACMICQCMhC2c79m9YrE4iHZkyjr07/NqN37lttu+c49X8Pxxb+y5Y/5Yo8jHK7j5E/Ku6fc1oTyTYOak4bdp1E89DJdqshalHghoshZG1YisbbzMF9FSNWpZ+A+PlhuhPxEpZqVqPz608IVvXfy2d3YZlG9mzU8/SQgAAIwsJABw7Nsu8z1nZmYyvGaGhR9Z1SNd8+CNr5gufujhWx3BuXHXqvlhh9jNe27BIzvu1183+n0bl4oH+dcje2nf5AC65ic4WpXV9gv/lZ8tmLIfJ9kToPyDQ4Ep+2FmqZRSF73tna/6td/ppsFjc2p+NnqRticAAMCIQwIAx7JBLKgProhoZmZmCPOTrOqRbnr41o9+5+7cCWOO7xSeO+aN+46I+3HdvJc7vuAXGtv96qCcmVixILvfN/5C7/Clo3/RsvYvq1Fr6C8Ek6Aw6fe1hUfL9V8sWu9njtRrX3zywvw/XvzWdxaLxampqZmZmYEW4mfVUowB/wAAsC4kAHBs2i5DfuyYr/vNgDtccBDl/n1+5K9//9FXThc/9JVbBbE/7uWPz5uXHKH8guMW0jP+46/b1fw4gmRdhuWmZt9GDhDJaKUuq6G1NVj8SrhUq/x0MVyuCWpS/UXzoE+pWKmL3vbOj1/5ITuenpmZEUK0/oKy6gbOqqU4w7+fAABwrEICAMeaoR3y03pN/UVWjyaGsNyfiG5++Nbz77+kcGLe9Z3c8XlvXPf7khDxwr9b8MyjANLlQKxYMTM39wEzEalIReWA62FysOl7yWoULtdV2GbQ51oL/6v2oM9Gv+87L3rrO1Px9PT09NzcnE4JdBqQbTdwVi3FGPAPAADrQgIAx44Bhf6DGPLTdmV93c2AO1xQf5FJ6J9VDcllN+z5vb946Yce/ggReeN+/oS8l3NMTO/lXX/MrvlJovZGr68+3viDCsKoHKjmQf4mB1DVMKqGZD0NiIv7a1H1Z4ttx/wH1sI/K2alLnzrGUfn/7H2k0Nt4+lisai30Jqamuq/GzirCZ5o9gUAgI1CAgDHgoGG/sN8zWybHLKqIZmdnb354Vs/Wf70837/+UJQbsLXC/+a5wt/wm/T70tKKMktM/6dtv2+1htlNQqO1tbo963Vn11NHQyOlpv6fRWrSOro34T+nX9BOisolUptE7asan76zzEAAADaQgIA21u2pS/mmlsV+nf/EGBw5f591pDMzs7e/PBHbv7qR4jIH/fHnjfmjXuOiOt5vLznT+Q8a8Nf/RIzs2rq5TU5gKxH0XI8yF+IlsSgGslamLwlph8C1J5djZarqdsLmhf+STFLvvCtZxwp/VPtJ4eo63Id/URoamrKPH4x53R/kZ6r+THgHwAA+oEEALaxbMvoaWBDfrK95oBC//6vNjs7+4I/eOH8CV9+wX/4NYc4N+7lxl37hPwOv9HvK5KRPkys2Enqfhxq6gdILfyTlQPIalQ/Wo2qbbb+DZbr5Z8u2m8URLIaVn++ZA36JI6YJV9gLfxvqFynWCwyc6lU0l0BmZTrZDIGFAAAoDMkALAtZT7fcxBDfmjjRTXFYnF+fr7D1Yaz01df6paHP/xr/+EFetTP2PPG/HGPrBn/ueMLwnOEaNrKVzCx4tQYT50DyHoULNXYrO6LppNkNYqsUT9kdhEmCpbr4VIt1R8cHK1Uf75k9fsqFalTXnzyy0781YvfdkbnH0Lncp25uTki0jnAMLQEAAAArAsJAGwz22jIT7aDWTKfGkRZ/Ax12Hpj6abJvy++4D/8GhF5474/7gsiE4G7ec8vuHZZv84BWBEzm0i9qd+3HqQW/s0JUTUKFiprLPzXVn+2GC41TfsRgoOjlfrRcuOQUkrShW8942UnvuA1L3lF/+U6dnNw2zmhm9MSAAAA0CUkALBtbLshP0Pb6ZvtDsEffviW3/yvv+GPufkJb+KXCr7d71uIB33qPzZyAEWkFDfG/MeHHcEqUvWluqzJxjAfK3OIqpFexTePEUzaEC5Xg6X0oM/gaGXl+4cb0b9SetBn9SeHLnrbGR1+CBtdjy8Wi/q3Y0J5c06XF+mnJQAAAGBDkADANrAtBvJkcs3UXmDDXO4vhNj7qb3OH6gX/scXEJE/7nu65kcoPdPTLXhewTXtv5pDTIp06J+q6iGiqC5lJWj9dg6xClW4HHC7hf9wqVb+6aKJ/k3mEByt1I/Y/b6KFVd+fOhw6dsXvvWMQazH60cBRCSE2LSWAAAAgI1CAgBDbTjD9E245pCH/kT0kYdv/r0//S1vzPPHvR2/VMhPuG5jxr83doKfKzTK8ONYXxFLFqzSx4lYqrAc6rKfxia+SSgfVaNwOUjt8KUfAgRL9daF//qRysr3Dzeif8UcKlZc/vGhC9965uasx5dKJf1YoPM36ucRBAAAQG+8rb4BgPZMHUXTvlB9X3NmZmZmZibDa5ZKJd22m8k1dR25ifz6v2CGt2cudf2D19/+tVu+8rWCIPLHPXvGvyvYy7uUj4f/OKRUssogrDmfDrFq9AiQrEWyriv+m1t3iQRxWJVRJRJETIKIHIrnBMlaVF8KZC0SgvSHE8RMIjhSCY5WiSg+rpglV358qPzjwzMzMx0C7nV/UObvTzeL+pRE+anzu/lLODs72zl/AAAA6AeeAMAwGsR8z0Gsp65bK9LDBfUXWT1GyOr2zKVe+Ae/eu/378yfWHB9J3983u739fJu/vi8W/Dc5u29WBFLJm6pBSIiIq6b6L+x9m9m/NeP1qJKmx2+gqVa9ZlyqlFYVsPKz5fqyaBPZmaplOTKjw9dsN7Cf/89uK2L+tPT03Nzc2ZOKGXUEgAAANAnJAAwXDKf70kDSCdoAIGauSBlFK9ndXvmUrv3XTbvfPq2r93iCM5PuGMn5PxcY8Hez7t+ofFEsZEDMDskzfGmHXxrsr5Uj+qRSK/7ExGpWhhV16gIWqoFi3X7CBHVj1TLP182gz5ZMUcqWCif+0dvW/3RoYHW/HSosLIHBPXfEgAAAJAJJAAwLAZamp9tOjHQcv/uNwMe9O3Zl3rhH/zff/Wp88dOzHu+0Av/+hxHsOOJ3ITvFfTU/waXmJNJP7ot2LyFiGRNqnqbjl5HcFSNakdrOvpPCZZqKz9dqi/V08ePVurW/r6smKV6+f/9e+f+0dsvPfeCtT7dhhb1e96Wy9T86N9s218uBvwDAMBmQgIAW29bdOUO4pptC5M67wXWQbZto+ZS/+mNf3j+R8/66NduIaLchFc4IefnGgG9m3fzO3zXt/p9iYiImRQne/3q48lbomThn6xCIPMQIKpGJvRPzfoMlmpt+32Xv9fo92XFKlQs1fl/dsYnP3RXP4v6PdT8rPWN9EX0QwbT45G6CBb+AQBg0yABgK20LcJ0GkwLwTCX+5u49vav3Tzz6fO+t/AtV3BhwtWb+2qeT/kdrpeU/TTt79sY8d+UAxBRVJOyHrUOACUijlR9OQgrkaD0q8FSPbXwrxOGWvOgT1bMks/7szOe+fy3L/izM9f9dJ0X9QeRHhSLRf2j0V0BqPkBAIAtgQQAtsZ2Cf1pMB3Jg9jYK8Nyf/0DvOj2M+/4+oeIyB/3xp9X8Mc9h1iv2Xt5z5/wHc+xa3uEYGZWirl59y6dA6hIBUu1Nv2+xEQUVaKgZdCnvmawVK8vtln4X/r+kfqRqv4jM6tQsuTz/+yMDqF/hjU//aQH+qDOARD6AwDA5sMYUNhsA5rvmfk1qbuxj71dMJP7zPBqZu6kvtQdX7v59q9/SL+UH/f0wr+JzXMF1ys4srHGrxQ7RMTMZlgnNc/6jGoyqklKJnWmvnu4XJchE5EjSFkDPeMu4WpkX00Q145Ua0noT7rsR/L5f3bm+WuE/mRF7R3CevsnsNY5XY4B7fCN9LxR3RysU4UOJwMAAAwCngDA5jE1D5T1QJ5BXHOrNvZKbQa81tUyL/c3S9p3fP1Dd37jJj3qZ+J5Y6bsxyHKFdzCCXmv4JI95yee9ckU9/s2zfpUkQpXQ643OnpNhY8jOKpE1SO11oV/IgqW6pWWQZ9RNSz/fNmO/pVkVp2i/0wW9bsp1+nyG9mVWvo7micGAAAAmwMJAGwSO/QZzlqa1DUH2unbwbpTgDJMeFIx661f2Pefdp9yZ1L2kxv3HKFMkY9XcL2Ca9f2xDkAEzO3zvkhIlmLwtVQRYqaEwYtrESyFg8CsrICoub9fU1/cP1Itfyz5aiSzA6SzKE65UUvv2fPh9tG/xnW/HTur9hQepCq1DJzQtu+CwAAYBBQAgQDZwon5ubmMr/mkNcRZd7pm1VJUusP8M6v33TvP33YH3dz43Gzr/kx5MYcr+AqbqntYXJYSXM8qQUiIkdwWJVRTTpEqqXmJ6qGYUVSO/Wlem0xPeWTiNJlP5JZ8XlvOfO8tRf+qYtSHOpu698Of3Vnu9i116QHa52ATgAAANhMeAIAA4ROX8q60zeT6f6pdfHbvrDvj/a8+q5v3OQQ55KKf0oG+3gFT9f8pPfx5TiibaoFEoqIolpUW6zron+yGoL1maE16NO+rCCuL9Xri7XUFKDakeri947WjlR1GsGSVShZqbWi/y1f1F/rZtqeAAAAsPmQAMBAbK/QP9s6ov7v064C6qaOZUP3Rs2f9GNfv+m+f7rFH3Nz496O5xUK466bxN9+wRs/MZcba/x/CR2sM5FS1gOC5hwgqkVxv2+7mp/60aqO/lOv1pfqyz9ZTk37EYJrR6pVe9CnZKX4vLec9dTnvtsa/W+o5qdz1L7uTNXu0wNM+QQAgGGDBAAytl3G8NOWdvp2f0HK+hmCWRe/+dPX/qe/O/nub9zoEBfG3Zw1498lzhccvfBPzWv/gpmTan+7sscVHNVkbTFQdr+vNeszrERhu819iShcrtVbyn5qR6oL3z3aiP6ZVaTLfs5aa+Gfsmvk7XNRHwP+AQBgmCEBgMxku1ZtX1Z/McyhP2Ua8xWLxW7qWLq/sdYPe/c3bnzgyVvHnpN3fadwQs6f8IRgHa87nsjt8LyC61BTXy8zKcXMbB83OYAZ9EnNCQMRqVDVlwNZjZt3rd1/OarJ8jMVU/RvrlY7Uq0etgd9KiXVq1708l+ssfDff80PZbSoj5ofAAAYfmgChgzYMXqG80wyH8NP3Y177+GaGd6nvlomd9i2rfmWf7j2nm/cMPacvBCUG/dyEx5RPH2fiPwxx2/q91WKHCJixYL1oP+m40QkazKoSYqn+Lfp9w3W6PetLdZri0HL+VH1cDWqhiYd0P2+737LWe9+y1mtH7D74f2dG3m7HPDf+Rtl/lcLAABgEPAEAPo1iOh/ECv0pgJkaGeGmkcoOgHo/2r6C/vG7v7GDZ968sMTz8n5vhg7IaejfyJyBDueyO/w/Db9vopVHNOmjlO88N+mo1d/EVaisCqttzQqgmqL9fpiPdXvWz1SXfnZcpQ8K2DJKlSs+K7dH2kb/VN2NT99Lupn/lcLAABgcJAAwDqmpqbWGku/Lcbwm8uuOxdyoxccXLl/N3uBdXNv9u/liR9+/X/dueueb9xIRPlxb/yEXM4Xpt/XK7hjOz3Pb6zfx6G8YpbscJsZ/ypSwWqoo3+H0mveYSWqHa3q6F80PxWoL9aXfrKSKvoXgqttBn2qd7/lrJ9/9nuvfvEr1/qAg675yWQnAQAAgKGCBADaM+vHxWJRj0tPvbrthvx0aOvc6AWzbfEcdLk/Ed3zyA3v++xZP1x8whFc2OGahX8icom9guu37fe1Cl5catqsN6rJYDWiqN3qvujU7xss1mpL6bKf6uHa0e8umOifFctAsVLvesvZqYX/DOf8ZLKoj2ZfAADYjpAAwJp0pJUyykN+aAAbe7W9w3U3A27Vodxl5mOn3vuNG4goN+Ht+KVCbrzR7+sX3LETcoWC41pL+LrflyWTYjsfMDmArEetM/61sCIrh+syif7N9sBCUG2xvviTFRP9O8ljgdrhatVe+FfMkt/1lrN+9tnvt0b/tOk1Px2eMKDZFwAAtikkANCeDn10iKOD0e2yAxcN+AFFJvVOmTcPtC13ue+RG958/St/uPCEQzw24Y6NN/171/v7mj+aHICZBDflA+brsCari0FUk60z/olIVqKw0n7hv7ZYX2vh30T/zKSiOPp/91vOTn3Azan5ySqFAAAAGGZIAGBN09PTc3NzMzMzpVJpW+zARYN5mDCgcv/OV+vyIUCHcpf9j+zb/429DnFhwt35S/ncuEtELimXlF9wx0/I+QU3Na/TYVaSdMF/qnCfiKKa5Fpo/mjP+JehKh+uB1b0b/4/i6qHiz9eqS0GqetVD9dSC/8qUq960Ss+dtmt73pzI/rf0IJ9/zU//acQAAAAww8JAHQyPz8/MzNDRJnP4twWDxMGt1PYQJ8hfOxL1/3pFSfd9419RJSb8PLjnmP9U/cKbr7Q1Owb7+/LxIpTtf6arEfVxSCsSWppBiCisCKD5Xh1Pz3VZzFYebqSOj+qhMs/W6mky37Uu95y1p2X3foqq9930xbss0ohAAAAtgUkALAmuw+4VCp1GAe0oWtui4cJg+v07fKCbXuvtc5R7/5H9j74zzfmx52xHe7xz8/lrf198wVn7IRcPOjTjuOZBCtWnLqUfggQ1mS4Rs2PimRtOQzW6Pddfbqxw5dRPVxd/tmKqRRixTJULNW5bzm77cL/JizYZzILCAAAYBtBAgBtpOLpYqKfHGDQof+26/Tt+WprRb13fenaN1/50gOP7COi/ISna34coXQnrl9wvIJr9+w6pBxSyf6+jVp/s8Yf1mRtKV74J6vmR58QVGRtOZRhfLJ5uyCuLgYLP16RjTfG59QOVytHauYGdL/vuW85+yef+YGJ/je55gcD/gEAYARhJ2Bor3U30+np6cnJydnZ2Y2OqjTxdLY7pM4mu7cO7Z6+pVJJr+Jncofm3truaHvgkb0P/vON/pibn3Dz4y5RY4Xf9ZzxHZ5sbOLLymyyy+ywlC0LAS6pWo2jxv6+6W+nKmFYVUQkRGN7YK22GLTu71ttE/orZnHuW84+t3nhn9b7ca17zuxGtgfu5hyE/gAAcIzBEwBoIxXxmH2pisVi2+izgwEN+dkWnb7rFqh0YO8F1vnebvvM1X/63t//5KPXu4LHd8TRPxE5xA6xX3DzOzwicps28WWHmRWn9u/Sq/gq4vpqZPf7GkJwWJHlI0Fg7e9r1JfqCz9eqbbs71s5XGuN/s958zk//swPzm1Z+N+EBftMWgsAAAC2LyQA25gOU3Skor8WiUzq9Y0extLTYIb80Lbq9M1k67HOkegnHt1b+vGHJp6Tc31n/AQ/N94Y7ON6Tn6Hny80/o03cgAme+HbFY1+AFmP6quhihRZtUBmZn9QlSb0N2NDdWlQdTGotlT81w7XDn9nsXI4jv71oE8l+Zw3n9Ma+g/J8P4+MzcAAIDhhwRgG9NhyuTkJCVlD8zMzHNzc7pefwtvbFt0+lLWUx0z/OA66eoQrd7+2avf+L7f+8Sj1wqhCjucHSe6rh//c3YEF8ac/A7P9QQ179XlkGIVR//2P36dA3To942qsnwkCCttXq0tBkd/vNIa/VcO18rWwr9SLCP1yhe94vbLPmpH/9R3k67uUO98TlatBQAAAMcAJADbWKlUmpyc1IudpVLJhCzFYnF6enpmZsYslvdvo2Ppt0Wnb4ZTHbOtSlr3837y0evmf3zjxHNyRDR+Qi6f9PvqV3MF1y849rq+zgGYdbOvfTwW1mR9qW76fQ3T72vP+Le6gbm2GFQXA/OIQL8UVqLFn62mon+WfM6bz7n9/R991YteSV0vxne5YN9nzU+X5wAAABwbkABsYzMzM2ZSpP21ViqVsq0CWmsqpbYdQ/9sN/aijKb7m8Xstif845Nf/fu73/7JR68novEJ58RfyuX9xqv5MbHzRNdPyn5MDsCsY/D4tFQOENZkWFNk1QiZEF+GHCzFO3ylKvvDmlx+ulpt6fetHK4t/mw1qsQtBKxYhYqtsp/Ma370I6/O5/SZZgAAABxLMAVoG5uentaxi57RaSJ+8/VGG3Z7M7ghP+vOcunhmtkODsp2UIwpPdfhrP492qHt/Y9ed/+j1xKRQ5Sb8E2/r0ssSfgFN1dwiMgRSnEjB4iUoz+vPf9HnxPUZLLqn974Vwiul1VQaf9qdbFeWQxbX6ocrpWPNGqBWMYL/2e/+Rz7M/Y556eb8UpZzQICAAA49uAJwPY2PT3dtl5Zxz0bndfZgT2UxjaIIT9khcIZrvoPbbk/NS9Ct/2t/eOTX33f3W/T0X9+wjvu+fnChGPW6f2Cu/MEv2D1++o1fj3j36FGYY/dDyDrUZuan+SaQUUm0b/V70tMRJWFwCz8m8cC1SO1Q99ZLJt+X8kqVKwa0X+2NT/rnkN9zwICAAA4ViEB2Pb08r/OBLRsp+4IIfRKaioBGNyQn3VnufRwTf1FVqF/hvvCdkgkTNnVA49ed93nT/3p4qMO0diEm59wzTlCcK7g6M19qfnfsyBlFrZT/QBhTVUWwtAa5WmX90TVaPVwELTr960uBkd+tNpa9lM+XCsfsgZ9SlaKzn7zOT/49JNnv/mcQdT8DHoWEAAAwDEMJUDbnhkD2hrxTE1N6dygn+vPzc1NTU3NzMzY33EQhRPDv7EXtVTp9HmpbmqcHnzsmgcfu5bIyU+4hTj0ZyKya36IGjU/DpGe768391XJLl2uUJIdIgprSlalLt3RtUP6BEHMJOrxwn+65sclXl0MK4uBEKR3/tLnlw/XVg9ZNT9MSjIzn/3mc89+U7zwT33X/HRzTjd1QdluzQYAALBN4QnA9lYqlXRoXiwW9bpmhpN/NL35l17+n5qaGuVO3wwfTXRTo7Lg/+NTz73zgUevJaKxHWJsR1NQXiiIXEvND+l+X2ar39eKdKWsr0Rh8x5eprwnqMiVw4Eu+3Gau4Eri8HhH69Wuln4j/gVv//K295/+9lvOqebhfZNrgvCgH8AAABCArDdzc/P6zV+UwJkZqJTrxt4tdJVRkSktxoY2dB/c8r9tU89dg398rfHxpyJCef45+d02Y8QSgjlF5yJE/xcwXWbx/I4QjGT6fe1jjMRBTVZW4lkFB93mt+rK/5TB7XKYtAa+geVaOGnZR396/IhJVkpOuvN59z2/ts/dd+ns635yaouCAP+AQAACCVAxxgdqesidR3o9J8AmCoaszVVh6mL3RtEMUbm84iynUTUZY3TgS9f/enHPpgbc4moEFf8Nwp1cgU3VxAquYCblAOxImYWJJlMLVBj5k9Qk2FVUfOAIH1CvSqDijSVQoYjuF5VlYXQNAqbC1aO1FYONY36kYqZxFlvPufsN527aTU/GZ4DAAAwUvAEYHvTUf7U1JQd6Oul5dTBHuiSCV1lpB8y6HKgqampPguNBlGMkfk8ogwnEXU/g+hTj11T+u61+XFnbMI58fm+6fd1iXMeje3wzKBP+12OavT7OtT0UlhT5YVQWtN+7Pfq6J+smh/zEKCyEC4drLWOCSofrq+mo386683nfv/TP1r44dJm1vxgwD8AAEBvkAAMSqlUmrVkuy2XTVc16G9hDuqKIHMnvV1ZdxeYqgkzlp6Ze77mIIoxMp9HNIhyf1ovDL3rs1e+47Lf+PRjHySiwnjc72vC8VzBLezwfOuJXTzoU7GSa65uRzUZJBX/TvNIHxlyZTkKrf19bZWFsLXsZ/Vw/ZlvL5vonxXLUCnFZ7353KNJ6L+ZNT99ngMAADCyUAKUPV3pQVbpPCVRoBnLk+GE/tQ36nxwQ1rjSpMD9LDF2ECH/GS+sVe2NT/rxqCffuyDD//0+uOe43s+FSY8z2+s0jvEuYLjFtoU9ghWjSE/VpmQQ6pWI93s6xCplpE+YTWqVlTqoB4ZVFkIy4sBkzBHiEgQrcQL//GldOLxihe96iPvv3PY6nlQ8wMAANAZngBkyV53ZGYzkt906Or1SF2jP6AHAkRUSlBSxZ7Vlc1k+g0Z5U7fda9292evOO2yF37u8atdwYVxd8cJvucLStb+cwVn4kTfH3Pt9XuHmBUpGQ/6NMdNT3BYk7IW2ufHXwgmonrF7O9L1LwDgI7+U3e4erj29HeWGgv/zCpSSvJZbzr3hTt+Z6jqeVDzAwAA0A08AcjS5OTkuuuO/S/Mp+gQ3yzJ61Vn/S30OCDzx82XeVeufdnMu4czueCGmps/8/jVX/vZ9cc91yeiwrhTmBBE8bR+0oM+x4QJ1c16PCsSrBrNvtawf1mTtZpKjjf6fbV6RdYrktmh5icGpEP/haD1WcHq4drqYaviX1ccEf36xG+f9eZ3d35U0s3jlC7PWbcVO9t2bQAAgGMbEoAsbVWcbdb4dcOuHQNlvi1A9zLvyqXBbOyV4QVNGLru1f75yYc/+/gHfrH0DUFUGHfzE41/ia5Qbt7LjcWxu0tKWoN9oiQhcEip5hwgqKmgphyidHEPkUNcrah6Jb0DgM4BKgv18kJEVn2RIK5X5Mqhuv0WVqwknfmmc4/8cJmIHrjnU51/FJRdPU/nqrkMd2cDAAAYBSgBGgi75Vc3AevJOYMo+5mcnDRf620B7Fenp6dnZmay+r6Tk5PdXCrzrlzKukQn8wtuqLn5s49ffcv8n/1i6RsU9/s6gpRI4vZcwRkbJ9ea1eNS0u+ruLkWKD5HRlwvh0GttaxfEVG9IpcPByaUF9aVw5pcPFirLISpN64erh/5SSWoSP1EQEmSoVKSj/xw6aw3v5s2vZ5nrcg+23ZtAACAEYEEIHtTU1M63Nf78pqGYL1FV+ZL8qbaRwihY/3WGL2Hwv21vlfnBADl/p1P/vaTD1997xs/99gHHKKJCfe5z/cLE41/g/mC2HGitfZvInUmR1feEFHzPB+HVFBT1dXGDl/U/K86rEY69G/d5Ku8GC4+VUttDExEq4fr9ph/JYklH/7h8nc+/bMz3/Su/ufz6Mq0DufoCVqdzyHrAQIq/gEAADYEJUAZ0/GxrmrQEb8pCJmentZHMo9XzEZdrd/U7AqcFTMIKHV8QEN+9BdZXTPb3cc2erXPP37V5x/7ABEROWMTrg79XUFEJJlyBTc/5pA15IeIXKEi6ejrN9UCJXX/QU0FNdPja2/yRWHI9YqMQqaWyn4h1OqCLC8EjqBkzg8ziZXDwcqhuvkwzKwiZhaHfrh85pve1fnvbYb1POuWUWVeCQYAADBS8AQgY/Zae7FYTMUougN4EIVAejSnHjSkd+qdmpqan5+fm5vLsASI2g0CGtDM9UFs7JXh7mMbvZqJ/gsTzvOe705MNF7KFZzjn+PlxxqF/uYlVk0be7nW11FNri5GQU3Z55tNvuoVWV6KopCpZZOv8kL47JOV8kJ62o+O/q1vzSri8pHgJ19/tnP0n3k9T4cyKgz4BwAA6B8SgIyltuZNhTsDagOg5q4DvXqqQ38drGfyTVtHl+pSDbNVcP/fQhvcxl6Z7D620as9+NAVF177a3OPXyUEj004Y43NfZVLKldwdM1PatCnUKwHfRKRK9LL6kFV2RX/qfKe8lJUr8jWmh8iKi+G5cV0xf/K4fpT315pKvuJWEk+9IPlt/1/7ywfqQ265oe6q+dBzQ8AAEAmkABkTy/At9b6m7qFzLsVdaevbgPQHQhEZLbs1U0ImXwXnQOYHQb0NxrEnr7HQLm/Nvf4VQ997+r8mDM24Z74fH9shyOSaN71xNhOd2yscbLJAVitWUsjq9HqQqSj/9YQv1ZRK4frMmyzyVd5MXrmR1XT72vG/5eP1FcONZ4GsGIZMjOd8cZ3Pfv9pUxC9s6JHAb8AwAAbDIkAAOhF+BbDw5u8VIH+jr3ICIhhA7T9XMAyuIhgNkAuFQqbYtO32wXjDd6tU995YqLr31B6fErHeKJCcdu9hWCC2NibKfreoKaC3sEs5Kso/+m4h/BlCz82+c3NvkirlVUvSzJCu7Nq+WFaPVoSEzxf4iIqF6Rh39SWT6UHvN/6AfLr3/VX7zzTe/u8KPItuan/wcIAAAA0D0kAJthcJv+2t9icnLSFP/Mzc1lW/Kuzc/P68/Szaj7LnU58mVDsu0f6GH5ufT4lV/93lX5Mcf3xXOe749NOC6x2al3fKeTGxNOm0GfxNx+0Ge9qiqLjUGfbvOs/3pFLh8Ko3LUeidBTS0crK+2DPpcPhwc/knFzAZVKh70efob3/3M2gv/3YTsGc7w6eYBAgAAAGwUEoAB0pGQHgY66O9lyv01vVqvJwLpmSp9TgK1Iz8zeLT/xCbzLCXb/oEenkvs/9zud+/5v+afuJKIJnaI45/T9E9svCB2nhgv/JPVs8uKhFSm7CeVA9STin+npRmAiMKKrJfTNT/6IcDqQrT4VC2oJu8VRIIE0fLhYNkq+1GKdOj/rQd/3nnhf90fRTe/0KweIAAAAEBvkAAMhK5bMCXyreVAmTMzRu2g3IwD6jNS1yGd6fTVs4x0S0DPuU22jbmUdRFRb5Un849f8a2ff+DE57q+L3ae4I5N6O5epQP9fMHJjQm3uXDfEYpV0uzbNM+HiUhGXFmRUa3N0r5Lql5RS4fDmrVZr32Fo20X/g8FP//2ion+mSkKWUf/WdX89DnDZxBPhAAAAMCGBGAgdKfszMyMLsvZnG+qA6/USr9uPNBPA/q5eOuCunnIsNFLDaLcP9sy8R4qTw58bvcFe/7VF564gojGJtzjT3Tyucar+YJzwolObixe+G+UA7Ee+2/XAjUi+LAmKyvS3uGLrIcAtYoKKnFiIJqfDKwuhk//qKoX/m3Lh4JUxb+M+OTfP+Wm9961VvS/+TU/mdetAQAAQIrIcNsmsJlROfqPx1Ilgw74enis0c0eTz1ck4iySrR622HqC49f/sUnrtBfj004+Ymm/fX8gpsvxJm2tPbkYkURN/5o9vDSp+myH2WfkKTrUciVMusZ/2bXME7OXF2Mlhai1MGlQ+HSoYCSBmAmwYqlpNPf+O7T33jeWp+rm1g8q327sLcXAADApsETgEHRdTK6/mcLYxq9pNpaHdSP3vYyy7yhM9sy8d6eS3z3Rw/dcN8bvhgv/DvP/WVvfIfjJpX9uYKz8wS3UGicbxb4TdlPq3pVrZhBny0NwbWKXE12+CJrzo8QvLoYHfxRdaWl7GfpULDUNOiz0e+7VvSfYc1PVpsAAAAAQFa89U+Bvm3O2n/bcnwTqetl2i15CpH54q65YCbPr8wa9kav9sXHL//SE5cTkUM0NuEUdjTSaVeoXMHx8vECvCDFSbLtsIpU/LVLbJ4JOEIpdurxoE+yjrN5DlCryFpFmZPtm1ldiFYW0q0C9YpcOhTUy5LMg4K43/e809YO/bv5aZiQfd1zOqdnWPgHAADYfHgCMFh6AX6q2YCmgk5OTtr7ARv6iG5IyOp7dfkQ4Jgs9yei7/3ooQ/d9ycPPbGHrIV/h1ivx+uF/3xBuNagT13oz8yKqXkAaBxD16tqdTGwBn02xda1ilo8HAVWv68R1eTBJ6srC2Fq/P/SoeDQTyp6ZwCKd/hSSvJpHaP/dX8am7kJAAAAAAwCEoBBMbtlUTI1X9ObBJuNujKkK46KxaLe+ct8R/11htG//l6d54oOIrzLtoio5wqiLz++574v/Pdnl79KRDsmxI4dwn51rCDyhcYRkwMwEyulkqg+lQPUq6peU0QkRLpzl4iCarzwb9NXWF2IjjxVb33L0qGmQZ96h69dbzz/8Qeeahv9ZxWyZ9gQDAAAAAOCEqBBmZ+fb9sZqQ/qlezMO7B1QYVenteVFTru18nGIL5j23vQX2T4vbItFOmnguihJ/Y89M09jqDxCSc/4eqDesXd8ZxcwfE8QUT2Qr0rVKQc/a0cPfVHvyuu+eF6rU3QT0QucbnCSeifvCu5QlBTS0caW4MZut/XfDBmYsmKadcaC//Z1vxk0hAMAAAAA4UnAAPUYY1fRz+ZPwSYmZmZs+jeX0qykQy/kS43aj2e7Ra8NIDp/j2vPX/+K5f9zXX/8stP7CGi8QlnbEI41vjOfMHZsUN4yQ5fLpFODphJKbLPdJoGfUat0b95CFCrKFPzk9oCbGUhOvJUENWTV5NrLjf3+ypJKuKX/d4p+/7+ntPeeH7rh8q85qdDQzAG/AMAAAwJJACDMj09PTMzo7fKKjXTy/+DbsnVFUG6HMjU//S/J7HZWjiVAGS7BS8NoIion+TkK0/sfuz7l4+Pix0T4vnPd8YmzHq8ynk8scPRZT92oE9EDjdWzO1+AIdYRlxZUfVaI6x3rTfKSC4cjqrNZT8mBygvhKst/b5Lh8Kf/nM5Hf0r3vXG8/a9956TX3RK6vwMy/Qx4B8AAGB7QQnQAOnKe50AULLer4OtbGfhGzMzM7Ozs7o6X4/GN/cwOzubSb6htxa2NwHIdiaPuSZlV0TUT9nJ3MOXPfzE7tyYQ0TjE874hCBrek+hIPJjDhFLbqQESkf+a997vaqqtfhre56PSySJamVVqyiTnNtVQyuNUT9NjQdLh8KlQ43pn0qyVEREu/70/F0tC//Z1vx0P+B/E/bDBgAAgG7gCcBgma0A5ubmmFlvyju4nQF0ZY6Ot/RzBh3q6ebgtjOCNmp6enpubk5Hh1NTU4Po9F234KSHq/V2hw8/sfvx7+8pjIt8jk54jhifaITdLvFYHP0TNS/wE6vGwr9V8KPP0f2+TUVB1ntXF5NBn///9u49OPLyPPT88/5aMyONNDAX8IWw9u5WIKwzHJ/NWZMqM5xurWNSdhIvBg+eEaYSOBgnzh7HVQ54AFPdDcZcjGPsWueySVyuygZcqY2xMQSI7VUrBk+cONgMg7mYi41hLtKoNbdWa9T9e9/941G/+vVVLemn7pH6+6lzqjTdP/36NyMRP8/7Ps/zSm1p0PH8/KBPP/Bndrp8+BenjlZH/9a6j4386VOPHGoY/UusNT80+wIAsOqwA7CCcrlc61E5sgIVERru+wfQDQEf8MXSdaAjgPRWmlos/54S906C/8df2t0eHb3nh0/fu2VbIBIMVBb+9SBd58yG/mDDwNwrfnm+0uzrnIgR5wf/++2CmaI7NVOy1XsF/hNnCrZYN+pHFfKlo1OhiBgRF1n7PzpROjpR0uN+jUgYirXOiXxs5E+vbxT6t7Na38nNAQAA0BXsAKwsXY9focH/9XxcrnwyoFsBzTp3Fys6a8gXOC3zhrGX+y+n4vxfn773xdf/bMu2YN06s2WLbBqsinT7N5pK9C8SacB1Tozzcz7nBv+rhLiZyrSfmnZeNTtdW/EvlU2AE/ny8bqKf6lE//6PuvB//cif/scjh6+/6obolYs6jrdjmwMAAKBb2AFYQdrmq6N4FjtsfmnS6XT9x2kQNjw8rA3BusS7tPtHF+l9S4O2BCztnstcp2/xhEurOH9s9O5/e/reLdsSgUj//MK/JMSKSN9AX39/ZeHfVeUAoTPW6pXzh/vqAcAzRd/sW1W4LyKB2OmCFOcO9xVtBghkLnU4NWOP5cunilWJgRE3NVE+OlHyWwHOiQ2ddXL9yJ/WhP4S33G8MW4OAACA7mIHYMXpMvzyx++0SWPxmoV5LdzXVxasSmqmZllXcxu9sy4wL1a8k2GWv/D8w6fv/dnrX9yyLSEiGweDTYMmOplnw0Aw2D8f1/qFfOfEhmLml/6r6v5ni2F01E/N9xYL7lSjw31F5PhUOHGgNDtTO+jz6ERZF/61DcCGEpatc+6v7nqwfuG/nTk/ndwcAAAApwPDWh2WzJgl/v7EWyDutxGWfLeXXn3y3/fdkz+xV3TG/8Zo5C/rB8z6/vlUOYykzaE1zvrXTeQac6roNPS31a/rF8WCnS7MvRi9QDcBjk+FRytlP66y1ZCfCDX09//iYWhs6K4buaE+9F/wQC6phPU6LarFNe1vDhD6AwCwKlAC1BOy2aw/CkAqo0iXTzcBFnW32GeGLj/6/Pd99/zbvnv168qgTysizgUismHA9PcbiRT2JMSGEjgrzrmGzb4iUi6Gp2Zqz+711xSbD/o8PhU2qfgvH52Yf92GEoYi4s77lXc98Df/dP6vvMv/FOKq+WmzOqudjwMAAKcVEoAO0XCqPt7KZrOxr5tqeCeV6iMtzND4TKuA4gq+dRxQm5GfL4I6Tcr9ReSlV5/40b7PT534QSCycTAYHDTRVfx16+zGofn/QKqK+62dH+ZTNcjfnSrLqaIrl10gztaF+KWSKxRsueRqvlEdz4fHp2zlWyqdANNhfrw8M239CCAbig3dR0du/OhVN4iIdn3oTzzGsH7BtIo5PwAArFL0AHSILpYbY3Qgj0RqpuPlzwHQZgBjjDZu6vkDOr0n9g9d0HJO4W14t+XPmfmPffd878kPHjvxA6lE/yKSEKcV/P0DZmhTEJ3Qr+9aK2Goy/7RfoC5y04V3cyJsFyee6tmln+xYE8ctbbUIPI+kS+//vLs8akwelsROTpePvjzUzOVAUE2dOWStaH76MgNH62U/fgjn3VfZZnH8fp/29anVTDgHwCA1YsEoHM0BJfK+VkrtHqqS/JakpFOp2sifh0TFNdY0nbmikZ7Q+OK/mXZoed/7LvnR/s+LyKDg8Gb35TYFDnhq6/PnLHJVKb9VJ3SpWf8+j/W5ACnim5mpvEgfxE5VQiL0/XdwFZEjuWblP2Ml6eqBn2Kte43Lrz4h49MXHfVjf51Dev118kY0/AnEmNYT7MvAACrHQlAR+lgUIkU5MR+RICfBGqM0XAwWv2vEd6SBwHV0G2NZu+uxHT/5YeeT/zr3X/9/5z11L57AnGDkUGf+l9C/0AwuCno6zPR/zACY50Ta6W+akZzgJmiOzplffQfnQIUiC0W7OREeToy5t/ffKZoxw+UaqL/QNzUePmVZ4s++ndOwrILrbtu5MY/v/Nb/sqasN5PZIqOnNKzGiSOsJ4B/wAArA0kAJ2jJUAiogU5zjkdor+0GZot+ImfGqjpqEcNBDtTAtTmcMlF3TCW0POpffc899LnRWRwKDj7zYmhoapjuTYOmI398xf7/zacFXHWR/+J6iqdmaKbmXEiYiK38tdMF5wP/U11RdCxqXD8QNkP+vTv5ifmFv41NQlDCcvOOblu5MbrRuYW/puF9VrupRmgLLLmp51JoIT+AACsASQAnZNKpWpqftLptKYB8X6QVgFpl6cWiGumISL6cbFsO+hNMplM/Xqzng8QV+gfSy7x5L/e/X/931t/vO/uQNymIbMxUvMTGNc/YDZvCbTsp2r93om1oiP+o7VAicrC/7GpsDQzP8g/mgPMFOzkRFictjVl/erEVHgsX3sCQH6i/PJPi9GynzAUa91/G7lx78NHfPS/YFivlWa6/0PNDwAAqEEC0FENQ6jY46r6Qn9/EJgG07EkADWlJhIJ1pd8MHCNds6fasdP9t39/Ev3DGw069ebzVuCwUETjfL7B8zGgarr9V1nxVpXVfQfyQFKRXtqvuantvS/WHAzVTU/czcxYo9Nha+9PNsw+q+p+C+VnEb/0dC/zVJ+Tfz8RkHDa9qp+Yl3JwcAAJwOSAA6QRfF2++XXT5d8tc2AK3/8VsBOi9y+TmAlpro3Va03H85ucR3R+/8wpc2/3jfPYHI0JDZssWsXz8/kn9wQPzCf7QWSEQC6/ygzER1s+9M0R2dCmdmGi/tz0zbyYlQy34SdRccm7I+9J/vBJgO3/j5bH6i7M/4sqGE1l07cuPehyevG/m0LKmUv6YcqP6a5Z/+CwAAViMSgE7QEErXU3XhXPOBbIVG6hLfjHwNzXXuUDqd9qv1uhUQy0dIZaVfc4DTrdxfRH6y7+43Dnx+67bEuvWyeYvRQZ+mEmT3D5j+flMd3M8t/IdhpORfRCKh/EyTUT+6CVAsuOlpa0yDH+KJqfC1l0vH8qGpzgqmJsIDPy8V5wd9SmnWhXML/5/WF5dTyu+nwfrhs/XXNLsVx3sBALAmcRBYh/j5P3oSky/M0BfjqpmJikZ4zjlNP3xI1/4BXs3oX0E7CnTW0PJvqDsVy8+Cvjt65zP77t56ViAim4ZkcMiEbn5rZWBANvTPp75VJ3yJCysfHj2gV0TKZTdTdOWyBEbmTwGLnPA1XSifKtVu4OjNj03ZY1OhSO27UxNhfrzmfF/3v16449qRT//GhRdL24ed+bC+4bvpdDqZTOo+QCzHhAEAgFXN8L/0a1LDBWMfTS54yGs79/fnGAwPD+s+wHKONdAHXn4WISJP77tr3zN3i4gVMzhoBofmw+7Qmf4BM9Bv9N3od5WdsZWVfRv5b0IvKxbdzExVPmAjGcXJgkxPu5p7OmdEZGbG5afsqaKr+ZbJiTA/XnaV60MrNnTWmf828ulrKzU/Gou3/idt5zhen1npJkCzXKKd038BAMAaQAnQ2qQxnDEm2gPqW4GXef5ATamJ38RY2j1jLDh59effv+9LZ2r0PzgYvOXNwaZI9N/XZ7ZtnYv+pfoYL+vE2Ggt0Pw9A3HFyqDPoK5eSOYGffqjf6vS6WNT9vCBcqloa75lcqKsC/9aDhTauUGfPvqPfXynPyUgWg5Uf6vWvcUAAGBtIAFYs3TGaPQUMKlMBV1mxVHDiFPvvKj7xNs6vG/fXU8++YGzzgqMyOBg4Bf+Kyd8maFNtc2+gTjnJAzFWZHaZl+RyglfpSbn+04X3JEJOz3tGnYDjx8sHZ2qHfUzOVH+2bMz0bIfXfu/duTTTzw8de3Ip1foyF7/464/LIwB/wAA9Bp6ANY+reuIvtL1zk4ffcZSgfa1r3123767fuO/rBORoUjor2F7X58MDJi+PvHBeGCcVuNYp/+/8eSlUzNzC/9Rvuh/uuBmirY+hQ7ETU25o3OjfqruPDlezo/PpwShdTYUJ3LNyKev3b2nzfr7dmp+Wt9Kuyx0NpQ2ixP6AwDQU9gB6L5lFuS0uK3OAPWjh6Jv1U/xX7JkMrmo5/efG0vc+cwzd21Y/4V3/W/rEkbOGAqiFf+ByMCA2bTJ9PWJVC/wG3HWzi38R9fv/QlfU1M2Gv1Hv3emYI9UBn1GPmvugqNT9mjdjP+ZQvjLV0uTddH/H4zs+f63p67dvSfemp92buV/ZDV7RAAAYM0jAegCH8n5GN2fuBTvp2QyGeecxosa9GvYF+8OQPtHC0eLUpYf/Wez2Q9dMbC/UvH/5jcnhoZMIrLmPjBgNvZXfYvG8daJtRIdxxnNAUpFW6yE/tFTGfR7oxX/Un002NEp+/OXS0cjgz71i8nx8PVXS8WCFREj4pyUS2JDuWZkj4b+sdf8tHkrLQbzCQMAAOgRJABdoCUc/o++KH/l4jB/Cli3coB4y/2z2ez739//a+fd96Er+o3I0GBVs2/CyNBGs2WL6e8XqfsVN865StBe0w+gC//FGVe1V1C5cankjh2di/7r/7M5OmWP58t1L8vkeDgZHfRpXViW/3zhji997uFrdu9ZbCl/s2tk8V0B+oo/MDj2/BMAAJy2SAC6wEf/WqjtY/F4C4E0KPenj+VyOW0A9bsNMX5cKpXSv0u9No+wbZMuVz+7764/+MiARBb+JVJuPzBg+vsluhWgv+U20u87/1YlBygW3akmzb4iUii4o0ddWGpwwexMqAv/Na9PToQvPDsbjf7DsgtDc83Ini997uGHvvG9BcN6/5NafobQ+qewEsdQAACA0xYJQHdkMhkt0dHAS7+O9yM0ztOp/+l02keTGu2tUONBjXbq0Rd1t3//4Z3/46988UNX9IvIGYPBmZGFfxHZODC/8C9SlQMYNx/6J6qH9pTL7sQJW9PvG72mOF1V9qP0v5ypvD14oDb0F5H8RPlIpOLfWlcuOefkmpE9v3jx1GLHd7a4Jq6uAPqAAQDoHSQAXaAr8SISPeF1wdNelyCXy/n6Il8ClM1mdUKoxLEJ4A/wWtHR8nq3n+67+5qPbBzaGKxfb7ZuCXThPyGSEBGRgQEz0F/7C50wooM+ra16y8f3xRlXOGnLlWX6mobg6YI7Mh5OF+YX/qMXHDwQHp2yImIq2wiBOF34n4/+jVjrwlD+YGRP7tvHfvHiKVnS+M6Gl7V/Kwb8AwAAjwSgO/S8VR+TxdIU29DY2Jgv0PcHgflOgGZ1O4uiJwH7BCD2cn9jzFjuc3/55TOvvKJfRAYHzVlbgv7188v7/QPmrC1moLLwH/2ddk4idf61OUBxxs0UndQ1A+gX0wXnQ/+aSf9Tefvqy+XZYu22wJGJsGrhP3SlWReG8vsjN/3ixdllFup4MXYFAACAHsQ5AB2lsbIW5DRcfdd34/o4PfLJFxfpxHftNo6r6VOfVu/mm5jjqinXG/50313PPXO3vrJ5S7B+/dy7gYgV6R+YC/2DyuB//Tp0Yn3Nj5HQVX1XcUZm6sJ3b7rgCtrsa8SK1BzzdSwfHp2q/d5pnQ1amD9VwIbzof81IzfrRKbWf1k9sWHB8Z06yL/1rRY8KwAAAPQsE8tJTDg96YpyOp0eGxtLJpO+ENz3B4tILHVHvochrqBTb/i/p9Z/+PKNZ20zIjI0aLTmx0f5AwNmYMCE1b/A+q5zYq1EO3bDyFWFSPQfrd/X08EKBVeYds7H8TKfAEzmndb82MgJX1bkyLg9Mj73CU6Ms1IuOydGo39pY6m+nXjdV1u1rgsi9AcAAK1RArSW+SlDGvRrIbi2AaRSqfbn97cW7WaO5W5a3/Lcvrv++0eH3rQtCMScOThX8S8iQeWEr4EBIyKJ6Kx+EVOp+Jeagh8jIlKckfyUOxVZ+09ErilO2/FxWyg4ceL/X1C5dipvNfqX6oogjf79H23oymX3zgsv2bzhomtGbpa4a36W2RUAAABAAtA1vhDf8+FgXPT8r+inaPVIXHPfo+X+qVRKJw4t+a/gh9X8y+jnzt163/PP3CMimwbNW98cDA2ZRGXRvW+d2XRGMDgQHfxfWa13tc2+0a9nZ6RYCf2jSYPmAIWCmy5UHRXsv57K21deLk9NWVNdDDQxHj63fzYa/YehhKG8+uLsfXc++p8vvGT5w3ni7QoAAAAQEoAu0pk8Pg1YicOARUQH/xtjommA1uhr0c6SNwE0MPXVJjoISAuKlvAX8WnDrsv7pw7ee/ZZQWDkjKH5hX8RSYgZGDBnbDLr+kSkJtA31s4P+qzJAYpFyeddseii6/3ebEmOTs1F/wlTWxEXXfiPmhiv6vcNrSvNig3l1Rdn/2Dk5riO7G0nQ2jnrAAAAACPHoAu89XzWqKzQp+inaMNX5elngqs3QXRV4yZ+3Wqf6v1fbRs/Zrff8+Lz9wzc/IHVtzQYFXor7c94wzT12fC6mV4K2IrM/6j/QA+Zi8WpRCp+YkW/Tut+C+46PWhm/vcmaKbnHK6aRD9yPFxOzE+3xrgxITW2VBeeaH06ouzbZbyx9UVoIc8cIwXAABoHzsA3eSXvbUcv74oKC7NAkTtBFjaPZd/qlS0gmj35QP79l42c/IHInLGYOLMoarfzMGNwdatQV+fDv6fLwcSEYme8BXpBwhESmU5fsJNF119wY+arkT/UboJMJW3Bw6E9SVDE5XoX1krpdJc9P/7bS/8L398Z3QPgegfAAAsCmNAuyaXy+kqr9+E0YLvsbGxGGs5Wlfka74R186DpjFtxqM+zBWR/+/b/8fMyR8EYjYOmk2Vhf+EzC32b6z0+9rIAn9CTMk5V2n29SF5wszNBSoWpVh0fr3fRFbxEyLH60L/6E2OTdmpKSsigTg/8Ge64MbHbbRPwFoJQ5maDD9w6Z7vPtTWin4s4zuj/3QAAACLxQ5A12g/bjTU0yqgZDIZ46doab625zZ8hhjXj1OpVDsni0UXwn/2zD3/9MDZuvA/NBjULPwPDQTbtgYDlX7fILLAbyML/1I78MecODFXutOw6L8wPR/9m+q38nn30sthvq7of2I8/PmroY/+nZNy2YWhvPLi7Acu3RPjij7NvgAAYKWxA3DaibeiQ0N8XVruerF4zUL4S/s///Kz9wbGrFsnW7fMxfCB6LB/5wd96h/n3jWmbOcW/v0WQdR00RWLzjZaHDciJ6fdyULlhK+6a47mbb7uhK9A3OFxOzFujYgeDmCtC0MRkd+79NOfeOjWdv6+y1/Rb3MPAQAAYEHsAJxGdOqLMSbeYaBedOhQ9MW4Pk53Gxq+5Wcc6Qr30/92zz9+9eyX9n9eRIYGg7O2JqKr+wMDwVlb+wYigz4DfyyXE4mU9EebAYJK9C8iQWRh328CFKarBn16RiSfty+9XI4u/OvjTIzbZ/eXo0X/oXVhKFfvvvmfHyp84v9sGv3Hu6LPgH8AABAjEoDu0+DYGKPjgFqPhlwC32zgZ3SuUILR7GQxP/dG/14v77/30Ct/NrQx0b8+sW1L4Iv+NQcYGJir+QmqfzmNM+XKCV/G1OYA00U3mbfRE76iOUBYkvEJW1v0X7kgn7f5Rid8TYzb8Ub9vlfvvvnq3be0+Heg5gcAAJzOSAC6xsf9UinUWaEqnbGxsehhwP4gMD8DdPmjh2rOGfBqjrDdm7v7wa+++aX994rIpsFg25agf33CB/oDA+bsrYnqhf+5t5ybC/2jn+i/PlWcP+Gr/hf65LSbOjr/zdELikX3xoEwP2VrOgEmxsNn95dqon9d+H/8oUKL6D/eOT8M+AcAACuBBKA7NGL2fcAaH6/QDFARyeVypmJ4eFg/zm8FLP9zR0dH9W7+b1G/wv3K/ntPHvri0EYTiJw5OL/wLyKBBAMDZmO/TvmsYlxg7Vz0n6ht2ZXpojuSt9PFxmXxgZGpo3P9vvW/6Pm8PRgZ9OlNjIfVob8rlSQM5SO7b/5IG6F/jDU/fs8EAAAgRjQBd4ce0JvL5TRc1jhvhRIAP1ZI9wF0aXl0dNQ/w/I/QjMZv6ugs4D8iPp/zd396rN/dtY2IyKbIid8aei9rk8GBsy6vsBW5nAmKsd1OSfWOiPGVSpzoo2/MzMyPb/wb+YbhUWsSKHS71svEDmSt/l81Z6CETlZcOPj85VCxrgwlDCU/3ThJR/Zfct/2n5Js79+m128PuVrfVk7fcMAAABLRgLQHX7+pl8v1y/88nzsn+iH/Y+OjuqBA1oRpBFn+/P7W3+E5gCaaeiLrz77hcLhL73prISIbBoKNm6cD3+NSH9l4V9EAqnKAUp2PlSOxvcJMTNlVyy6UskFxvjDAaLXFBtF/5oYTOZtPj8/AciP/x8ft4cjC//OSmjFWrlq9y2tF/7bn/PT+ieby+U0cWLODwAAWFGUAHWZZgJamq/tv7EPAtKgUzsB9Gv9RBEZHh6O69gBX9wiIrqz8d1/uvum/771L//yjsNHwk1DwTlvTmwaNAkTJMzcb92Zm4Kh/qrfQC36t05COz/5p0ax6ArHXanUOEouTLvDEzYa/Ue7gScrC/81tx6v6fcNpVxeIPpvs0a/pguixWU+SWh2DQAAQCxIAE4j0WQg3uPAdNW/Jq/QEnN9pZ0DvJqJlr9rXqENBg8/OnrwSHj4SPjPT8w8/dxs9FuGBvrO2pJY16fTfqqjcRf4FfBEpNNXLzt+orbiPzo/dHpafOhf85s9mbc/e6l8NF97wtf4uN2/vxyN/sPQhaFctfuWRx+abhH9y0I1+rrNIm1nCLFPfwIAAGjIUG/QO5rV+fhxQEu4py9t98GrMcYPGvr9XWf4K992TuLi/7Lhbef0DfQHGweMiNjIWb5WnHXzh3M5iUTkzonIdNFNF52LjOmMngJ2vDBfu+8LgfwtJvPuyGRY86KIHK6U/eg3lENnQxGRkd2fuap56N9mzU/NP0uzy4RVfwAA0FnsAPSQZiG+Lw1agnQ6XbN0rYOAUqlUNPoXkdcOhA98e/qpZ0sbK4M+AxP59XMmejSvifxmJozR6F9ETGS7wA8FOllwhUb9voFIseh++YadzNeOAT08bp/ZXz5cvfBvQxnZfcsjDxUbRv+a0khMK/oM+AcAAN1CE3AP8W2mfvJPKpVKJpNjY2OZTCauvaBUKqX9Bpddseeb/3hXzbvfeaIoIu/d0a9/DExQtlZD/2gXr6ehf9jk2WZLcvKkmy1VTQry95nMu4lK6K/7Evr14eqK/zB05bmF/1uu2v2Zhh+kK/oL9me3OQ5I9xDYfAMAAF3BDkDXaI14symcfkJoXHzTqlSW/DWW9fFojJ/V2neeKH7niRn92rqqRf1oP4CRwC/8R5sBTGTh/9iUna10A5vqXoLJvDuSrz3h62TBvfxqWFvxb+XCC//rXZ97vGH0H13Rb93FG9cRYAAAACuKHYBu0rC7YUF5vKvyuVwuk8k0DGHT6bQvboklKk0mk9lsNp1OX/COS6RuB0B954mic+49F8/tAySMCauneU4X3XSxqmE3eo0Rc6JgTxZqO3rVkbydzNv69w5XD/q0Tsqhc05272q88N/mXM42V/QZ8A8AAE4TJABdo7G45gDGmJrQMN4pQH4S6NjYmD96zCcDy+kBaPhZmk5c8I4dF7xjx/M/faLhZd99cuZ/elvf//w/NPgNnCmKj/6jtT3qZMGdLDhXd2qYXjyRDyfrRv2IyOHxcHzC31PKoQutOJGR3beM7Gq88N9+F2/r0J8B/wAA4LRCCVA3aditfbQ1Yzqjx4TFIlOh4f7w8LAe2qUT6OOtONI+YBG54H/Z0eKyv37gpP9ai3xKZXfshK1Z+49eo9G/1HQJi4jIkbx94aVyffQ/Ph7u2186XFf2M7L7loe/VayP/uPt4mXAPwAAON2QAHSTD5R1/L+mARqXS6WbNq7PSiaT+ika62uCMTw87MuQ4k0A9Mkv+9BNra/866/P5wCnZuTYcasnfFU3AxgROVFwB8fD6enGi+ha9hN9pTLtJzxUHfrPllzZysjuW3Y3WfiXNub8xDgOCAAAoMNIALosGnZrgK6Hc/mG3bj4ZGO0mmYCcVUc+ezFu+yKPS2uf+W18nefnBGRYyfsdNElIoNBozlAoSD1Ff+6CTBddM9HFv59K/Chcfv0/lJ19C+hld27b/n2t4r10f+iunhbHwEmNPsCAIDTGAlAN6XT6frxOz4NkFhLgEQkk8lo5Y+fPqSfJSKab0TPCV6adDodzQGy2ewHd97c+lu+9+TMQ98tlkqN350tyaFxezIy5j+ITPY5krevvRFK3e/xoZp+31BmZyUMZXejhf/oScZt1vwsfxwQAABAt5AAdFmzMNEXBcX+iX76p4/UtQlB4tgH8FVGmUzGR9WtNwFEZO9Tp/zX0U2AQkHyU3NxfFD3u/raG+FkvvZWOuhTo3/dQ7ChlEPZvv2SO+54rGH0LwuF/topseBlbSYSAAAA3UUC0EN0EqiWr+gXuhsglUFAsbQc6ClgEhlvumAngIj8oDoHmC25yamqhf+o/JR9/qWyHhHgBSKHxsOXXi3773JOyuW5hf877nh8+/b/Gr0+3i5ean4AAMBqQQLQQzKZTDTE96v1uhUQyyRQnXav6YQ/XkAW6gQQkb1PnfI5wImCm5xysyWR6uO9dBPgSN4eifT7+nFAh8ZtTb9vqeSclV27b9m165aah1xUzU8s44AAAABOE5wD0EOSyaTG+r6KXSN133O84Nj7FpqdhzU8PJxOp3UT4JtNzgVTe5869e7f2HCi4E4UbGCMjRz7pUcBTOTtRL6sLwZGbOVzDo3bg+NVLcJh6MJQPlwX+kt7k/vbvExLg1KpFAP+AQDAKsIOQA/RUFWnDEVf14qg5e8A1C+oa6ah2UU7hUD//P2ZE03O953I2yP5MLohoA6NhwerR/1ov2999N9+zU/7pUELjgMCAAA43ZAA9Bw/+af+xeX0HNfEwclkMpPJaIjsF8gXLAR65oXZ/S/MzQMKzFysP5G3z79UPpIPay4+PGF/vH/24HjocwIbShjK9u2XPPit6Wj0v9ian/ZLg2I8QRkAAKAzKAHCHF/QEsuSdsPI+OlnZ5/ef+qd2ze0eZPAmMOTYX3oLyIHx+3Bw/OvOyelknMiH959c/3Cv8RU89P+ZQAAAKctdgAwR/sB4joRTEUPBNBV8x8/M9P6W/wmwHTR/eKNBgv/hYL72SvlaPQfhqLnB99+x2MNF/7jqvmh2RcAAKwBJACY1/qIq8XSQUC+w9jX1bRTCHQkb3/xRtWgT63+PzgevvhK+URkPGiprBX/N3/jW4Xt2y/RF+s/tKF4S4MAAABWBUMxQ2/yJwHXvDg2NhZjjKtxsz8QQFsCROSb/++drScCveXsxFvOTujXfhzQgfG5hX/9c2hduSwicuXumz5cvfAvIslksnUy0850//YvAwAAWC3YAeg5up6tQ2z0i+i7mUwmxk/Rr31Zka8IuuxDNy24DxB1cDx86plZX/ZjRELrwlCu3H3zP37rpI/+o1U6LaJ/an4AAEAvIwHoOTqtf7TCHwQmlQ0BH6YvTbT8Rg8F8+cNR+/89LOzh8bLzW5yaCI8WZkHenhirt9Xq4BCK7MlCUO5ctfNH951c/2Hti7mifEyAACA1YgEoOdEl8Z1+mc6nfYxeiqVip4WvFj+JGAfN/vzhnXEkOYAetllV7Q6GeDktDs4Hv7HM7MHov2+VsJQ3rF9R/azj14Zif5FZMGR/PFeBgAAsEqRAPScVCqVyWRyuZxfj9cDwnQrYPn3j66aJ5PJXC7ncwBNA3xD7R9+/DN7bn2k2X0OTYTR0N86OVVyYShX7rop+9lHf337JbKkmp/lXwYAALCq0QTci5qN/NfXRWQ5J4I1o6v+Ehmib4xxzj3/0yfuuv13Gn6LtaLXlkNbDkVErtx1085dN0ulX1kWKtCP9zIAAIA1gAQAneBLg3RDQJfYh4eH9YtmOYBzYq2EoSuFzof+ejd/n9YfGuNlAAAAawMlQFhZNUP09bgxbTv2/QYXvGPHKfuu+p5ga+XUrCuH8wv//m7aurDgh8ZyGQAAwFrS1+0HwNrnd5k09B8dHU0mk9pvkMlkIgvw3605H8A6t3PXTTt33SSRKp0F96y0iimuywAAANYYdgCwsmpW1rW5VtuCtR05OjXosg/dtOfWRy54xw69+Iqdc9G/nlpQf7caDPgHAABYEAkAOsq3F4+NjekYIn9OsIhks9kL3rFjz62P7Ln1ka89cOzyK29abDHPggP+27kMAABgDaMECJ3ma36ccxqOa12QiORyOY3LL3jHDmp+AAAAVgI7AOiompPCUqlUMplMpVLGmOjRBP4sXmp+AAAA4sUOADotugavg4DS6bRvC9YMIZPJtF6qj24jtLis/W0EAACAHsEOADqq2Rq8NgSLSC6X8+X+umxfzzcEL7jw307rMAAAQE8hAUADGjr7gpyV44P46ElhumYvIvrHmgfzxTw6UKghBvwDAAA0QwKAWrlcLpPJ5HI5Pa5rpT8uOpnH7wNoOZA/KUwWM8DHN/sS+gMAANQjAUADmUxmdHQ0k8n4+HuFaLDu1+mTyaQOAvKnBfvLtDGAZl8AAIBlIgFALT+iR8Pxlf64aDGPr/nRF3UuEAP+AQAAYkQCgKay2exKB9P196+ZEaT1SNGTwupvQs0PAABA+0gAUEur/30VvlTW1zvTEqB8T7A+j4/7W/QEd+bBAAAAVjsSANRKVfjTebUxV5oswMerpphH65F8DhDtCqDmBwAAYAlIADCn2QJ/NpvV87ZGR0ejh/WunGhMr4OANBXRTQmp7A8IC/8AAACLRwKAOXqwrv86+oXG353RLKb3vcLRmaEdK0kCAABYM0gAMM+X2eRyuWQyKSLDw8NagaONARLpCuhM8O1PCtNn0E/XZ4ueEiCRoiAAAAC0QAKAOTpoX9t/tQFXi3/0i5roX6/sQEuA0gfwzQn1H+0PCujM8wAAAKxefd1+AJwu0ul0MpkcGxvzfbd6HJhU2oL1iC6ptAUnk0nNCla6EN8Yk8lkdDyo7gM453w/gFRSl+j8UAAAADRjCJvQkEbYfhCQLsCPjo5GX/fbAiuaA0SbE0TEmLlfWu1aXvB4YAAAAERRAoTGojG3ltr7ZoBoT3D0sN4OPInnmxCI/gEAABaFBABNaXDvy+u1GcD3CegC/Ojo6OjoaMO6/BWSyWQYBAQAALBk9ACgMV1Z1yIfLbPR+F5bBaItuf5wgA4syevCv6YcUhkE1HCLAAAAAA2RAKApjfVFRKP8+p5gnbqjicHo6OjY2FgHKvI7eSgBAADA2kMCgFZqFtejf9TeX39+sH/LGKPtwivxPFT8AwAALBM9AFg0rcPRlgCN/v1WgA/9O9MP4I8JAwAAQJsYA4q2+EmgqVQqet5W9EAAiXQL6DXM6AQAADjdkACgXToRSNf+teDHH7/lI35tz9UpPdonwC8YAADAaYUSoLUmekRuvLS8R8P6ZDIZPZ9Le4V1VKg/HcyPB2VSJwAAwOmDHYA1RQt1VvpnWrPeL5VDeZ1z+gD+LR/9UwsEAABwmmAK0FrTgaH4GspnMhmdwe/rgmomAvmZ/VLZl0gmk8zsBwAA6C5KgLAU6XRajwc2xuhugD+ZSw/o1WRAuwXGxsZERI8QphwIAACgu0gA1pTosbjZbHZ4eHjlxnGm02k/7N85p10Bujngq330Cw36nXO6abBCzwMAAIB2kACsTVqmr2d1rdynRNf7NbKvqfDJZrNaCKS7BMlkkn0AAACA7iIBWFNyuVwul9MpnM65zvTd6j6A5hv+MUQknU7roQG+A9hvR6zo1gQAAABaIAFYa3S5vcMjd0ZHRzOZjB4UoKVHmg9oJqAnhfleYX8x+wAAAACdxxSgtcOX2nfl0/1oIBHR0iMf4vs+YIl0Behb2WzWNxIAAACgA0gA1o7h4eHuBtPpdDqZTPpYX4t8fF2Q7gn4saH+oIBsNssRAQAAAB1DCdAakc1mNbxe8DLtEFghuvYf7fSNDgISER0bGm0Y0FmilAMBAAB0BgnAGtFO3b8uvXfgYfxGhO8E0M4E3y7sH1Vf14ShAw8GAAAASoDWiAVL/zX670yxjS/18c2+visgell0i0CbBwAAALDSSAB6gi+7Hx4e7ljBfbT4R9f+tSsgmUz6p1qwZgkAAADxMt0aGoOO8dG/iGgC0OGw2xijLb/+gAIRyeVyvmt5bGzMP6G+RWIAAACwQugBWOO0DkcqK/Fdia21xF+r/H2pjz6YHhogkS0CY4y/GAAAALEjAVjLdBSPrrjrwM1o9N+xwTvpdNqv7msngMb36XRatyOiVUmZTMY5py0EnXk8AACAnkIJ0JqlAbSPrXXFXUtx9BVjOv3T12Ikfx5wi8eoeXgAAADEhSbgNasmetbx/F16lvln0A5gn4Q0K0miDQAAAGCFUALUK7Tgp1m07b9e0WPCpDIhVMeDagNANFHRV3SjwA8LAgAAQIxIAHpITQOA1tkbY8bGxvzrHdgl8EcF+yOBfQaSTCb16+hRwQAAAIgRPQC9omYAqLYEaLjflVJ7bQXWXz8/J1So/gcAAFhh7AD0img3sDFGl9h1Do++riODOvY8qVTKHwgg1V0BHXsGAACAHkQC0Cu0+N4X3vghPKpFh0AHHqzmSaj+BwAAWDmUAPWomkobXyCkDbgdPi1YP9Q3A9QkJwAAAIgROwCYSwY0/tYQXEfxdOwBNA/RqiSifwAAgBXFOQC9y1fa+IogPSo4nU53/hRe4n4AAIDOoASo10VrgXQ0kHNOh/QTlAMAAKw9JAA9zc/i9E3AOiCIKZwAAABrFT0APc3P4hwbG9PjwPzhAA1ls9nOVwcBAAAgRiQAqNJi7X94eLj1BQAAADj9kQBARCSZTGYyGS39rx8AmsvljDHaH9yNpwMAAEBs6AHAHO0HEJHR0dGaHGB4eJjoHwAAYG0gAcAC9JQuPxGoi2cGAwAAYPkoAUIruVyuZigQTcAAAACrGgkAWhkbG0ulUqz3AwAArBkkAGil2ZkA2WzWGMNuAACcVoaHh9/73vd2+ykAnO5IANBULpdruPyvBwY3zA20QwAAAACnLRIAtFIT/WtDsB4f5qN/HR80PDxsjOnCIwIAAGAxSADQVDabTSaT/msf39cs/GufgIjQLQAAAHD6IwFAKxrQt6j5EZF0Op1Op3O5nH9XNwo6+JgAcFo7dOjQ7t27t23b9ra3ve3WW28tl8vRd48cOfKpT33q4osvPuOMM97+9rd/4AMf+M53vlN/kzfeeOOP//iPL7roosHBwbe85S1XXHHFT37yk8nJSWPM3/7t3zb76Ha+SzsHnnvuud27d7/nPe9Z8IEBrHZ93X4AnL78cr6G+FLpCqi/Us8PTqVS/jQxad5ADAA9xTl32WWXvfzyyx//+McPHz58xx139PX1+f/z+NBDD1177bVBEFx++eW7d+8+fvz4ww8/fOmll1533XV/8Rd/0dc39z/TDzzwwB/+4R/29/dffvnlV1999euvv/7444+/+93vvv3221t8dPvfdejQoUsvvfTss88eGRlp/cAA1gIHtE0PCa5/UURGR0edc6lUKpPJOOcymQy/XQDgnHvhhRdE5Ctf+Yr+cdeuXb/1W7/l3xocHPyd3/mdI0eORL9lz549InLjjTfqH/fv379hw4bf+73fm5yc9NeEYXjHHXfo/5T/zd/8jb6YSqX8zRf1Xfpx1trWDwxgbaAECIvQYihQKpXSqaC6SsRaEQBEHTp0SL944IEHfIXPJz7xiW3btt1///3btm2LXnznnXf+3d/93Zve9CatvfnkJz95zjnn/P3f//3WrVv9NUEQ3HzzzVdeeWWzT1zUd23duvX222+PznJo+MAA1gYSACxOTWSvtf7aAxCt+WlWLAQAveb888//4Ac/ePvtt+/cuTOXyznn9HVr7ZNPPrlr164zzjij/rs+8pGPfOpTn+rr67PW7t27d9euXZs2baq/7Nprr234oYv9rl/7tV9bv3596wcGsGaQAGBZstmsBv1+H0BfHxsbq7mStmAAPesf/uEfvvKVr7zwwgvDw8Pvfve7X331VRF5/fXXT548ecEFF7T+3l/+8peFQuG8885r+O75558fy3cNDg4u+MAA1gwSACydxvTa+xudAiTVHcC5XI5jgwH0sr6+vo9//OP79u3L5XIHDx787d/+bRE599xzh4aGtOC+hXPPPXfjxo3PPfdcw3eff/75GL+r9QMDWDNIALB0Y2NjGuX7owCUHwqkXw8PD6dSKboCAPSmH/7whw8++KB+nUwmb7vttp/97GevvPJKEAQ7duz4+te/fvz48frvyuVy999/f7lcTiQSF1100de//vVjx47VX9ZsAOjSvqv1A7f+awJYRUgAsHTpdFqj/Ojyf7QZQOuCdEwQAPSm733ve5dffrlfjB8fHxeRzZs3i8iXv/zlycnJkZGRycnJ6Ld87Wtfe8973vMv//IvOgb0vvvuO3z48FVXXZXP5/01zrm77777G9/4RrPPXdp3tX5gAGsD5wAgBqlUym8C+GYArQvS7rHh4WHSAAC96eqrr77nnns+/OEPX3/99RMTE1/4whd27dqlk3nOO++8Bx544Nprr73gggt27ty5ffv2X/7yl2NjY3v37t25c+eXv/xlvcM73/nOr371q3/0R390wQUXXHnllb/+679+6NChRx999Kmnnrrvvvv+5E/+pOHnLu27Wj8wgDWiq0NIsUbo1H+N+/UcgKia0wOaXQYAa9WPf/zjSy+9dPPmzeeee+4nP/nJkydPRt+dnJy84YYbLr744jPPPPPcc8993/ve9/jjj9ff5PXXX/dn+m7duvV3f/d39+7de+zYsVQq9cgjj+g10XMAlvNdrR8YwGpnHOO9EIdsNqujP+tr/XO5nO8W8JdlMhmOCgYAAOg8EgCsuGw2m0wma44FiJ4aBgAAgI4hAUB35HK5bDZLYwAAAECHMQUI3eFPEJPKbgBWkWeffXbXrl3nn3/+1q1bL7300i9+8YssJawu/ARXu2PHjpmK973vfd1+HCwaP8HVbrX/BEkA0FHZbFb/axERXxTEIcGryze/+c13vetdr7322vXXX//nf/7n73znOz/zmc9cccUVxWKx24+GtvATXAMGBwcfe+yxxx57bMeOHd1+FiwFP8HVbrX/BCkBQido469+bYzRuUD+XYaEriLFYvFXf/VXL7744vvvv18nlIvIM888c9FFF91222033HBDdx8PC+InuMbs3Lnz5MmTjz76aLcfBEvET3C1W6U/QXYAsOJyudzw8LD/YyaTGRsbi77bhWfCUu3du/fAgQPZbNbHjiJy4YUX7ty58/777+/ig6FN/AQBACQA6IToen8ul0smk917FizLa6+9JiLnnXdezevnnXfeG2+80Y0nwuLwEwQAkABgxempwPq1ngMQfTfaDYzT37FjxwYHB6OLx2rz5s0nTpzoyiNhUfgJAgBq/zcAWAmZTMYYo5mAngSsr+dyuVwuRwPA6qI93DWCgNWEVYOfIAD0OBIAdEI6nU4mk2NjYzVHBWez2Uwm073nAgAA6DkkAOiQVCpVcxgwy/+rlLW2zRdxeuInCAA9jj1fdIeOBmL5f9XZvHnz9PT0qVOnal4/evTo1q1bu/JIWBR+ggAAEgB0hxb/0P676rz97W8Xkeeee67m9RdeeOHcc8/txhNhcfgJAgBIANAFw8PDNc0AWC127Njx1re+9bbbbiuXy/7Fp59++qGHHrriiiu6+GBoEz9BAAA9AOgoXfhn7X/16uvre/DBB9///vcnk8ldu3adc845P/rRj/7qr/5q+/btH/vYx7r9dFgYP0EAAAkAOiqZTDrnuv0UWJbf/M3f/P73v3/rrbd+9rOfLRQK27dvv/7667PZ7IYNG7r9aGgLP0EA6HGGaAwAAADoHfQAAAAAAD2EBAAAAADoISQAAAAAQA8hAQAAAAB6CFOAACzde4Odzd4yQUISiSbvGbOu6f/xMX3rJDCN30skJNF02cKsW9fsLelLiGlyT2NcX5PnFJHmzymBcc0fxq1rek/bZ5o/jLi+pve0zd9yCeOa/aMZsYkmb4m4PuOavWnENv+HsX3N7xkY1+xJW97TJUSa3NUF0vSerR+m+T0XfJim/zJB87dEXPNfGZdwLf61XYt/7RbPGYgETYd5uL7mbyVci3+ZFveU5vc0gWv2jcY4k2j6jUFgm/03EQQ2aP4wfQnb7K1E4BJB43cD4/oSYbNvXBdYYxp/Yl9gE6bpJ/Ynys3eWp8oB03uGRi3IWj6jRuCpt+4zoR9punfYiBRanpPU0o0fRjbHzT9xo3BbLO31plwvWn8t0gY229aPow0/idt/Y2Dzd9aZ+y6Jj+mQKS/yd9dRPqNSTT5r2KdSawzTf9v0MBbf97srdMWOwAAAABADyEBAAAAAHoICQAAAADQQ0gAAAAAgB5CAgAAAAD0EBIAAAAAoIeQAAAAAAA9hAQAAAAA6CEkAAAAAEAPIQEAAAAAeggJAAAAANBDSAAAAACAHkICAAAAAPQQEgAAAACgh5AAAAAAAD2EBAAAAADoISQAAAAAQA8hAQAAAAB6CAkAAAAA0ENIAAAAAIAeQgIAAAAA9BASAAAAAKCHGOdct58BAAAAQIewAwAAAAD0EBIAAAAAoIeQAAAAAAA9hAQAAAAA6CEkAAAAAEAPIQEAAAAAeggJAAAAANBDSAAAAACAHkICAAAAAPQQEgAAAACgh5AAAAAAAD2EBAAAAADoISQAAAAAQA8hAQAAAAB6CAkAAAAA0ENIAAAAAIAeQgIAAAAA9BASAAAAAKCHkAAAAAAAPYQEAAAAAOghJAAAAABADyEBAAAAAHoICQAAAADQQ0gAAAAAgB5CAgAAAAD0EBIAAAAAoIeQAAAAAAA9hAQAAAAA6CEkAAAAAEAPIQEAAAAAeggJAAAAANBDSAAAAACAHkICAAAAAPQQEgAAAACgh5AAAAAAAD2EBAAAAADoISQAAAAAQA8hAQAAAAB6yP8PNzb9XquG8vYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=1024x768 at 0x2051101E760>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pyvista as pv\n",
    "\n",
    "sargs = dict(fmt=\"%.0f\", color='black')\n",
    "\n",
    "p = pv.Plotter(notebook=True)\n",
    "\n",
    "# Adding DEM\n",
    "p.add_mesh(tubes, scalar_bar_args=sargs)\n",
    "\n",
    "\n",
    "p.set_background('white')\n",
    "p.show_grid(color='black')\n",
    "p.set_scale(1,1,1)\n",
    "p.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating tubes for all wells\n",
    "\n",
    "All tubes for all wells can be created with the function ``create_deviated_boreholes_3d(..)``."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T17:15:54.015655Z",
     "start_time": "2021-01-20T17:15:53.953419Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table><tr><th>Information</th><th>Blocks</th></tr><tr><td>\n",
       "<table>\n",
       "<tr><th>MultiBlock</th><th>Values</th></tr>\n",
       "<tr><td>N Blocks</td><td>3</td></tr>\n",
       "<tr><td>X Bounds</td><td>12003.268, 12641.589</td></tr>\n",
       "<tr><td>Y Bounds</td><td>30234.730, 30809.708</td></tr>\n",
       "<tr><td>Z Bounds</td><td>1799.074, 2329.613</td></tr>\n",
       "</table>\n",
       "\n",
       "</td><td>\n",
       "<table>\n",
       "<tr><th>Index</th><th>Name</th><th>Type</th></tr>\n",
       "<tr><th>0</th><th>Block-00</th><th>PolyData</th></tr>\n",
       "<tr><th>1</th><th>Block-01</th><th>PolyData</th></tr>\n",
       "<tr><th>2</th><th>Block-02</th><th>PolyData</th></tr>\n",
       "</table>\n",
       "\n",
       "</td></tr> </table>"
      ],
      "text/plain": [
       "MultiBlock (0x20511020820)\n",
       "  N Blocks:\t3\n",
       "  X Bounds:\t12003.268, 12641.589\n",
       "  Y Bounds:\t30234.730, 30809.708\n",
       "  Z Bounds:\t1799.074, 2329.613"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tubes, df_groups = gg.visualization.create_deviated_boreholes_3d(df_collar=collar, \n",
    "                                                                 df_survey=survey, \n",
    "                                                                 min_length=10, \n",
    "                                                                 collar_depth='maxdepth', \n",
    "                                                                 survey_depth='depth', \n",
    "                                                                 index='holeid')\n",
    "tubes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T17:15:54.296156Z",
     "start_time": "2021-01-20T17:15:54.017642Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=1024x768 at 0x2051101E7F0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pyvista as pv\n",
    "\n",
    "sargs = dict(fmt=\"%.0f\", color='black')\n",
    "\n",
    "p = pv.Plotter(notebook=True)\n",
    "\n",
    "# Adding DEM\n",
    "p.add_mesh(tubes, scalars='Depth', scalar_bar_args=sargs)\n",
    "\n",
    "\n",
    "p.set_background('white')\n",
    "p.show_grid(color='black')\n",
    "p.set_scale(1,1,1)\n",
    "p.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "hide_input": false,
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}