{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "15:56:22 [I] klustakwik KlustaKwik2 version 0.2.6\n",
      "/home/mikkel/.virtualenvs/expipe/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject\n",
      "  return f(*args, **kwds)\n",
      "/home/mikkel/.virtualenvs/expipe/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject\n",
      "  return f(*args, **kwds)\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import pathlib\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import re\n",
    "import shutil\n",
    "import pandas as pd\n",
    "import scipy.stats\n",
    "\n",
    "import exdir\n",
    "import expipe\n",
    "from distutils.dir_util import copy_tree\n",
    "import septum_mec\n",
    "import spatial_maps as sp\n",
    "import head_direction.head as head\n",
    "import septum_mec.analysis.data_processing as dp\n",
    "import septum_mec.analysis.registration\n",
    "from septum_mec.analysis.plotting import violinplot\n",
    "\n",
    "from spike_statistics.core import permutation_resampling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "project_path = dp.project_path()\n",
    "project = expipe.get_project(project_path)\n",
    "actions = project.actions\n",
    "\n",
    "output_path = pathlib.Path(\"output\") / \"comparisons-gridcells\"\n",
    "(output_path / \"statistics\").mkdir(exist_ok=True, parents=True)\n",
    "(output_path / \"figures\").mkdir(exist_ok=True, parents=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load cell statistics and shuffling quantiles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>action</th>\n",
       "      <th>baseline</th>\n",
       "      <th>entity</th>\n",
       "      <th>frequency</th>\n",
       "      <th>i</th>\n",
       "      <th>ii</th>\n",
       "      <th>session</th>\n",
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       "      <th>tag</th>\n",
       "      <th>...</th>\n",
       "      <th>burst_event_ratio</th>\n",
       "      <th>bursty_spike_ratio</th>\n",
       "      <th>gridness</th>\n",
       "      <th>border_score</th>\n",
       "      <th>information_rate</th>\n",
       "      <th>information_specificity</th>\n",
       "      <th>head_mean_ang</th>\n",
       "      <th>head_mean_vec_len</th>\n",
       "      <th>spacing</th>\n",
       "      <th>orientation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
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       "      <td>-0.459487</td>\n",
       "      <td>0.078474</td>\n",
       "      <td>0.965845</td>\n",
       "      <td>0.309723</td>\n",
       "      <td>5.788704</td>\n",
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       "      <td>1849-060319-3</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>baseline ii</td>\n",
       "      <td>...</td>\n",
       "      <td>0.146481</td>\n",
       "      <td>0.277121</td>\n",
       "      <td>-0.615405</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>baseline ii</td>\n",
       "      <td>...</td>\n",
       "      <td>0.373466</td>\n",
       "      <td>0.658748</td>\n",
       "      <td>-0.527711</td>\n",
       "      <td>0.131660</td>\n",
       "      <td>3.833587</td>\n",
       "      <td>0.336590</td>\n",
       "      <td>4.407614</td>\n",
       "      <td>0.121115</td>\n",
       "      <td>0.542877</td>\n",
       "      <td>27.758541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1849-060319-3</td>\n",
       "      <td>True</td>\n",
       "      <td>1849</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>True</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>baseline ii</td>\n",
       "      <td>...</td>\n",
       "      <td>0.097464</td>\n",
       "      <td>0.196189</td>\n",
       "      <td>-0.641543</td>\n",
       "      <td>0.274989</td>\n",
       "      <td>0.153740</td>\n",
       "      <td>0.068626</td>\n",
       "      <td>6.128601</td>\n",
       "      <td>0.099223</td>\n",
       "      <td>0.484916</td>\n",
       "      <td>11.309932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1849-060319-3</td>\n",
       "      <td>True</td>\n",
       "      <td>1849</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>True</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>baseline ii</td>\n",
       "      <td>...</td>\n",
       "      <td>0.248036</td>\n",
       "      <td>0.461250</td>\n",
       "      <td>-0.085292</td>\n",
       "      <td>0.198676</td>\n",
       "      <td>0.526720</td>\n",
       "      <td>0.033667</td>\n",
       "      <td>1.602362</td>\n",
       "      <td>0.051825</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          action  baseline  entity  frequency      i    ii  session  \\\n",
       "0  1849-060319-3      True    1849        NaN  False  True        3   \n",
       "1  1849-060319-3      True    1849        NaN  False  True        3   \n",
       "2  1849-060319-3      True    1849        NaN  False  True        3   \n",
       "3  1849-060319-3      True    1849        NaN  False  True        3   \n",
       "4  1849-060319-3      True    1849        NaN  False  True        3   \n",
       "\n",
       "  stim_location  stimulated          tag  ...  burst_event_ratio  \\\n",
       "0           NaN       False  baseline ii  ...           0.397921   \n",
       "1           NaN       False  baseline ii  ...           0.146481   \n",
       "2           NaN       False  baseline ii  ...           0.373466   \n",
       "3           NaN       False  baseline ii  ...           0.097464   \n",
       "4           NaN       False  baseline ii  ...           0.248036   \n",
       "\n",
       "   bursty_spike_ratio  gridness border_score  information_rate  \\\n",
       "0            0.676486 -0.459487     0.078474          0.965845   \n",
       "1            0.277121 -0.615405     0.311180          0.191375   \n",
       "2            0.658748 -0.527711     0.131660          3.833587   \n",
       "3            0.196189 -0.641543     0.274989          0.153740   \n",
       "4            0.461250 -0.085292     0.198676          0.526720   \n",
       "\n",
       "   information_specificity  head_mean_ang  head_mean_vec_len   spacing  \\\n",
       "0                 0.309723       5.788704           0.043321  0.624971   \n",
       "1                 0.032266       1.821598           0.014624  0.753333   \n",
       "2                 0.336590       4.407614           0.121115  0.542877   \n",
       "3                 0.068626       6.128601           0.099223  0.484916   \n",
       "4                 0.033667       1.602362           0.051825  0.646571   \n",
       "\n",
       "   orientation  \n",
       "0    22.067900  \n",
       "1     0.000000  \n",
       "2    27.758541  \n",
       "3    11.309932  \n",
       "4     0.000000  \n",
       "\n",
       "[5 rows x 34 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "statistics_action = actions['calculate-statistics']\n",
    "identification_action = actions['identify-neurons']\n",
    "sessions = pd.read_csv(identification_action.data_path('sessions'))\n",
    "units = pd.read_csv(identification_action.data_path('units'))\n",
    "session_units = pd.merge(sessions, units, on='action')\n",
    "statistics_results = pd.read_csv(statistics_action.data_path('results'))\n",
    "statistics = pd.merge(session_units, statistics_results, how='left')\n",
    "statistics.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>border_score</th>\n",
       "      <th>gridness</th>\n",
       "      <th>head_mean_ang</th>\n",
       "      <th>head_mean_vec_len</th>\n",
       "      <th>information_rate</th>\n",
       "      <th>speed_score</th>\n",
       "      <th>action</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>0.348023</td>\n",
       "      <td>0.275109</td>\n",
       "      <td>3.012689</td>\n",
       "      <td>0.086792</td>\n",
       "      <td>0.707197</td>\n",
       "      <td>0.149071</td>\n",
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       "      <td>127.0</td>\n",
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       "      <td>3.133138</td>\n",
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       "      <td>0.132212</td>\n",
       "      <td>1833-010719-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>161.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.367498</td>\n",
       "      <td>0.266865</td>\n",
       "      <td>5.586395</td>\n",
       "      <td>0.182843</td>\n",
       "      <td>0.271188</td>\n",
       "      <td>0.062821</td>\n",
       "      <td>1833-010719-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>191.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.331942</td>\n",
       "      <td>0.312155</td>\n",
       "      <td>5.955767</td>\n",
       "      <td>0.090786</td>\n",
       "      <td>0.354018</td>\n",
       "      <td>0.052009</td>\n",
       "      <td>1833-010719-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>223.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.325842</td>\n",
       "      <td>0.180495</td>\n",
       "      <td>5.262721</td>\n",
       "      <td>0.103584</td>\n",
       "      <td>0.210427</td>\n",
       "      <td>0.094041</td>\n",
       "      <td>1833-010719-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>225.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   border_score  gridness  head_mean_ang  head_mean_vec_len  information_rate  \\\n",
       "0      0.348023  0.275109       3.012689           0.086792          0.707197   \n",
       "1      0.362380  0.166475       3.133138           0.037271          0.482486   \n",
       "2      0.367498  0.266865       5.586395           0.182843          0.271188   \n",
       "3      0.331942  0.312155       5.955767           0.090786          0.354018   \n",
       "4      0.325842  0.180495       5.262721           0.103584          0.210427   \n",
       "\n",
       "   speed_score         action  channel_group  unit_name  \n",
       "0     0.149071  1833-010719-1            0.0      127.0  \n",
       "1     0.132212  1833-010719-1            0.0      161.0  \n",
       "2     0.062821  1833-010719-1            0.0      191.0  \n",
       "3     0.052009  1833-010719-1            0.0      223.0  \n",
       "4     0.094041  1833-010719-1            0.0      225.0  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shuffling = actions['shuffling']\n",
    "quantiles_95 = pd.read_csv(shuffling.data_path('quantiles_95'))\n",
    "quantiles_95.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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       "      <td>0.393687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1849-060319-3</td>\n",
       "      <td>True</td>\n",
       "      <td>1849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>baseline ii</td>\n",
       "      <td>...</td>\n",
       "      <td>0.099223</td>\n",
       "      <td>0.484916</td>\n",
       "      <td>11.309932</td>\n",
       "      <td>0.344280</td>\n",
       "      <td>0.215829</td>\n",
       "      <td>6.033364</td>\n",
       "      <td>0.110495</td>\n",
       "      <td>0.239996</td>\n",
       "      <td>0.054074</td>\n",
       "      <td>0.262612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1849-060319-3</td>\n",
       "      <td>True</td>\n",
       "      <td>1849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>baseline ii</td>\n",
       "      <td>...</td>\n",
       "      <td>0.051825</td>\n",
       "      <td>0.646571</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.342799</td>\n",
       "      <td>0.218967</td>\n",
       "      <td>5.768170</td>\n",
       "      <td>0.054762</td>\n",
       "      <td>0.524990</td>\n",
       "      <td>0.144702</td>\n",
       "      <td>0.133677</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 41 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          action  baseline  entity  frequency      i    ii  session  \\\n",
       "0  1849-060319-3      True    1849        NaN  False  True        3   \n",
       "1  1849-060319-3      True    1849        NaN  False  True        3   \n",
       "2  1849-060319-3      True    1849        NaN  False  True        3   \n",
       "3  1849-060319-3      True    1849        NaN  False  True        3   \n",
       "4  1849-060319-3      True    1849        NaN  False  True        3   \n",
       "\n",
       "  stim_location  stimulated          tag  ...  head_mean_vec_len   spacing  \\\n",
       "0           NaN       False  baseline ii  ...           0.043321  0.624971   \n",
       "1           NaN       False  baseline ii  ...           0.014624  0.753333   \n",
       "2           NaN       False  baseline ii  ...           0.121115  0.542877   \n",
       "3           NaN       False  baseline ii  ...           0.099223  0.484916   \n",
       "4           NaN       False  baseline ii  ...           0.051825  0.646571   \n",
       "\n",
       "   orientation border_score_threshold  gridness_threshold  \\\n",
       "0    22.067900               0.332548            0.229073   \n",
       "1     0.000000               0.354830            0.089333   \n",
       "2    27.758541               0.264610           -0.121081   \n",
       "3    11.309932               0.344280            0.215829   \n",
       "4     0.000000               0.342799            0.218967   \n",
       "\n",
       "   head_mean_ang_threshold  head_mean_vec_len_threshold  \\\n",
       "0                 6.029431                     0.205362   \n",
       "1                 6.120055                     0.073566   \n",
       "2                 5.759406                     0.150827   \n",
       "3                 6.033364                     0.110495   \n",
       "4                 5.768170                     0.054762   \n",
       "\n",
       "   information_rate_threshold  speed_score_threshold  specificity  \n",
       "0                    1.115825               0.066736     0.445206  \n",
       "1                    0.223237               0.052594     0.097485  \n",
       "2                    4.964984               0.027120     0.393687  \n",
       "3                    0.239996               0.054074     0.262612  \n",
       "4                    0.524990               0.144702     0.133677  \n",
       "\n",
       "[5 rows x 41 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "action_columns = ['action', 'channel_group', 'unit_name']\n",
    "data = pd.merge(statistics, quantiles_95, on=action_columns, suffixes=(\"\", \"_threshold\"))\n",
    "\n",
    "data['specificity'] = np.log10(data['in_field_mean_rate'] / data['out_field_mean_rate'])\n",
    "\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Statistics about all cell-sessions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "stimulated\n",
       "False    624\n",
       "True     674\n",
       "Name: action, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.groupby('stimulated').count()['action']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Find all cells with gridness above threshold"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of gridcells 226\n",
      "Number of animals 4\n"
     ]
    }
   ],
   "source": [
    "query = 'gridness > gridness_threshold and information_rate > information_rate_threshold'\n",
    "sessions_above_threshold = data.query(query)\n",
    "print(\"Number of gridcells\", len(sessions_above_threshold))\n",
    "print(\"Number of animals\", len(sessions_above_threshold.groupby(['entity'])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "baseline = sessions_above_threshold.query('baseline')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "gridcell_in_baseline = data[data.unit_id.isin(baseline.unit_id)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of gridcells in baseline i sessions 78\n",
      "Number of gridcells in stimulated 11Hz ms sessions 35\n",
      "Number of gridcells in baseline ii sessions 66\n",
      "Number of gridcells in stimulated 30Hz ms sessions 33\n"
     ]
    }
   ],
   "source": [
    "baseline_i = gridcell_in_baseline.query('baseline and i')\n",
    "stimulated_11 = gridcell_in_baseline.query('frequency==11 and stim_location==\"ms\" and i')\n",
    "\n",
    "baseline_ii = gridcell_in_baseline.query('baseline and ii')\n",
    "stimulated_30 = gridcell_in_baseline.query('frequency==30 and stim_location==\"ms\" and ii')\n",
    "\n",
    "print(\"Number of gridcells in baseline i sessions\", len(baseline_i))\n",
    "print(\"Number of gridcells in stimulated 11Hz ms sessions\", len(stimulated_11))\n",
    "\n",
    "print(\"Number of gridcells in baseline ii sessions\", len(baseline_ii))\n",
    "print(\"Number of gridcells in stimulated 30Hz ms sessions\", len(stimulated_30))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# slice unique units"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "baseline_i = baseline_i.drop_duplicates('unit_id')\n",
    "stimulated_11 = stimulated_11.drop_duplicates('unit_id')\n",
    "baseline_ii = baseline_ii.drop_duplicates('unit_id')\n",
    "stimulated_30 = stimulated_30.drop_duplicates('unit_id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of gridcells in baseline i sessions 68\n",
      "Number of gridcells in stimulated 11Hz ms sessions 32\n",
      "Number of gridcells in baseline ii sessions 58\n",
      "Number of gridcells in stimulated 30Hz ms sessions 28\n"
     ]
    }
   ],
   "source": [
    "print(\"Number of gridcells in baseline i sessions\", len(baseline_i))\n",
    "print(\"Number of gridcells in stimulated 11Hz ms sessions\", len(stimulated_11))\n",
    "\n",
    "print(\"Number of gridcells in baseline ii sessions\", len(baseline_ii))\n",
    "print(\"Number of gridcells in stimulated 30Hz ms sessions\", len(stimulated_30))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Calculate statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns = [\n",
    "    'average_rate', 'gridness', 'sparsity', 'selectivity', 'information_specificity',\n",
    "    'max_rate', 'information_rate', 'interspike_interval_cv', \n",
    "    'in_field_mean_rate', 'out_field_mean_rate', \n",
    "    'burst_event_ratio', 'specificity', 'speed_score'\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>average_rate</th>\n",
       "      <th>gridness</th>\n",
       "      <th>sparsity</th>\n",
       "      <th>selectivity</th>\n",
       "      <th>information_specificity</th>\n",
       "      <th>max_rate</th>\n",
       "      <th>information_rate</th>\n",
       "      <th>interspike_interval_cv</th>\n",
       "      <th>in_field_mean_rate</th>\n",
       "      <th>out_field_mean_rate</th>\n",
       "      <th>burst_event_ratio</th>\n",
       "      <th>specificity</th>\n",
       "      <th>speed_score</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stimulated</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>False</th>\n",
       "      <td>9.928801</td>\n",
       "      <td>0.562122</td>\n",
       "      <td>0.656634</td>\n",
       "      <td>5.320886</td>\n",
       "      <td>0.200475</td>\n",
       "      <td>37.440262</td>\n",
       "      <td>1.178277</td>\n",
       "      <td>2.348004</td>\n",
       "      <td>15.711336</td>\n",
       "      <td>7.319828</td>\n",
       "      <td>0.219627</td>\n",
       "      <td>0.444021</td>\n",
       "      <td>0.136236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>9.554733</td>\n",
       "      <td>0.365628</td>\n",
       "      <td>0.666120</td>\n",
       "      <td>6.232196</td>\n",
       "      <td>0.194542</td>\n",
       "      <td>39.864795</td>\n",
       "      <td>1.063930</td>\n",
       "      <td>2.328150</td>\n",
       "      <td>14.582445</td>\n",
       "      <td>7.121023</td>\n",
       "      <td>0.205369</td>\n",
       "      <td>0.445532</td>\n",
       "      <td>0.102438</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            average_rate  gridness  sparsity  selectivity  \\\n",
       "stimulated                                                  \n",
       "False           9.928801  0.562122  0.656634     5.320886   \n",
       "True            9.554733  0.365628  0.666120     6.232196   \n",
       "\n",
       "            information_specificity   max_rate  information_rate  \\\n",
       "stimulated                                                         \n",
       "False                      0.200475  37.440262          1.178277   \n",
       "True                       0.194542  39.864795          1.063930   \n",
       "\n",
       "            interspike_interval_cv  in_field_mean_rate  out_field_mean_rate  \\\n",
       "stimulated                                                                    \n",
       "False                     2.348004           15.711336             7.319828   \n",
       "True                      2.328150           14.582445             7.121023   \n",
       "\n",
       "            burst_event_ratio  specificity  speed_score  \n",
       "stimulated                                               \n",
       "False                0.219627     0.444021     0.136236  \n",
       "True                 0.205369     0.445532     0.102438  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gridcell_in_baseline.groupby('stimulated')[columns].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "    }\n",
       "\n",
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       "        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>average_rate</th>\n",
       "      <th>gridness</th>\n",
       "      <th>sparsity</th>\n",
       "      <th>selectivity</th>\n",
       "      <th>information_specificity</th>\n",
       "      <th>max_rate</th>\n",
       "      <th>information_rate</th>\n",
       "      <th>interspike_interval_cv</th>\n",
       "      <th>in_field_mean_rate</th>\n",
       "      <th>out_field_mean_rate</th>\n",
       "      <th>burst_event_ratio</th>\n",
       "      <th>specificity</th>\n",
       "      <th>speed_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>144.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>144.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>9.928801</td>\n",
       "      <td>0.562122</td>\n",
       "      <td>0.656634</td>\n",
       "      <td>5.320886</td>\n",
       "      <td>0.200475</td>\n",
       "      <td>37.440262</td>\n",
       "      <td>1.178277</td>\n",
       "      <td>2.348004</td>\n",
       "      <td>15.711336</td>\n",
       "      <td>7.319828</td>\n",
       "      <td>0.219627</td>\n",
       "      <td>0.444021</td>\n",
       "      <td>0.136236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>7.727249</td>\n",
       "      <td>0.338826</td>\n",
       "      <td>0.186070</td>\n",
       "      <td>2.885443</td>\n",
       "      <td>0.175036</td>\n",
       "      <td>16.512138</td>\n",
       "      <td>0.570617</td>\n",
       "      <td>0.743517</td>\n",
       "      <td>9.798591</td>\n",
       "      <td>6.760978</td>\n",
       "      <td>0.082774</td>\n",
       "      <td>0.206192</td>\n",
       "      <td>0.075267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.516375</td>\n",
       "      <td>-0.360777</td>\n",
       "      <td>0.261912</td>\n",
       "      <td>1.842905</td>\n",
       "      <td>0.011661</td>\n",
       "      <td>3.013150</td>\n",
       "      <td>0.122324</td>\n",
       "      <td>1.361275</td>\n",
       "      <td>0.993877</td>\n",
       "      <td>0.257364</td>\n",
       "      <td>0.027228</td>\n",
       "      <td>0.128469</td>\n",
       "      <td>-0.023795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.833480</td>\n",
       "      <td>0.350175</td>\n",
       "      <td>0.517566</td>\n",
       "      <td>3.108402</td>\n",
       "      <td>0.072654</td>\n",
       "      <td>25.189028</td>\n",
       "      <td>0.748273</td>\n",
       "      <td>1.772429</td>\n",
       "      <td>7.649203</td>\n",
       "      <td>1.863476</td>\n",
       "      <td>0.162862</td>\n",
       "      <td>0.289491</td>\n",
       "      <td>0.082031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>7.101159</td>\n",
       "      <td>0.595244</td>\n",
       "      <td>0.701089</td>\n",
       "      <td>4.682344</td>\n",
       "      <td>0.139185</td>\n",
       "      <td>34.014566</td>\n",
       "      <td>1.064148</td>\n",
       "      <td>2.170671</td>\n",
       "      <td>12.863627</td>\n",
       "      <td>4.773814</td>\n",
       "      <td>0.213065</td>\n",
       "      <td>0.383049</td>\n",
       "      <td>0.130958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>15.349392</td>\n",
       "      <td>0.802880</td>\n",
       "      <td>0.820432</td>\n",
       "      <td>6.619374</td>\n",
       "      <td>0.261063</td>\n",
       "      <td>45.689916</td>\n",
       "      <td>1.562027</td>\n",
       "      <td>2.688595</td>\n",
       "      <td>23.123564</td>\n",
       "      <td>10.952948</td>\n",
       "      <td>0.280340</td>\n",
       "      <td>0.570619</td>\n",
       "      <td>0.188830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>31.367451</td>\n",
       "      <td>1.174288</td>\n",
       "      <td>0.954505</td>\n",
       "      <td>17.011330</td>\n",
       "      <td>0.918520</td>\n",
       "      <td>90.839266</td>\n",
       "      <td>3.540663</td>\n",
       "      <td>5.240845</td>\n",
       "      <td>45.349506</td>\n",
       "      <td>28.721619</td>\n",
       "      <td>0.400014</td>\n",
       "      <td>0.975050</td>\n",
       "      <td>0.323278</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       average_rate    gridness    sparsity  selectivity  \\\n",
       "count    144.000000  144.000000  144.000000   144.000000   \n",
       "mean       9.928801    0.562122    0.656634     5.320886   \n",
       "std        7.727249    0.338826    0.186070     2.885443   \n",
       "min        0.516375   -0.360777    0.261912     1.842905   \n",
       "25%        3.833480    0.350175    0.517566     3.108402   \n",
       "50%        7.101159    0.595244    0.701089     4.682344   \n",
       "75%       15.349392    0.802880    0.820432     6.619374   \n",
       "max       31.367451    1.174288    0.954505    17.011330   \n",
       "\n",
       "       information_specificity    max_rate  information_rate  \\\n",
       "count               144.000000  144.000000        144.000000   \n",
       "mean                  0.200475   37.440262          1.178277   \n",
       "std                   0.175036   16.512138          0.570617   \n",
       "min                   0.011661    3.013150          0.122324   \n",
       "25%                   0.072654   25.189028          0.748273   \n",
       "50%                   0.139185   34.014566          1.064148   \n",
       "75%                   0.261063   45.689916          1.562027   \n",
       "max                   0.918520   90.839266          3.540663   \n",
       "\n",
       "       interspike_interval_cv  in_field_mean_rate  out_field_mean_rate  \\\n",
       "count              144.000000          144.000000           144.000000   \n",
       "mean                 2.348004           15.711336             7.319828   \n",
       "std                  0.743517            9.798591             6.760978   \n",
       "min                  1.361275            0.993877             0.257364   \n",
       "25%                  1.772429            7.649203             1.863476   \n",
       "50%                  2.170671           12.863627             4.773814   \n",
       "75%                  2.688595           23.123564            10.952948   \n",
       "max                  5.240845           45.349506            28.721619   \n",
       "\n",
       "       burst_event_ratio  specificity  speed_score  \n",
       "count         144.000000   144.000000   144.000000  \n",
       "mean            0.219627     0.444021     0.136236  \n",
       "std             0.082774     0.206192     0.075267  \n",
       "min             0.027228     0.128469    -0.023795  \n",
       "25%             0.162862     0.289491     0.082031  \n",
       "50%             0.213065     0.383049     0.130958  \n",
       "75%             0.280340     0.570619     0.188830  \n",
       "max             0.400014     0.975050     0.323278  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gridcell_in_baseline.query('baseline')[columns].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>average_rate</th>\n",
       "      <th>gridness</th>\n",
       "      <th>sparsity</th>\n",
       "      <th>selectivity</th>\n",
       "      <th>information_specificity</th>\n",
       "      <th>max_rate</th>\n",
       "      <th>information_rate</th>\n",
       "      <th>interspike_interval_cv</th>\n",
       "      <th>in_field_mean_rate</th>\n",
       "      <th>out_field_mean_rate</th>\n",
       "      <th>burst_event_ratio</th>\n",
       "      <th>specificity</th>\n",
       "      <th>speed_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>73.000000</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>73.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>9.554733</td>\n",
       "      <td>0.365628</td>\n",
       "      <td>0.666120</td>\n",
       "      <td>6.232196</td>\n",
       "      <td>0.194542</td>\n",
       "      <td>39.864795</td>\n",
       "      <td>1.063930</td>\n",
       "      <td>2.328150</td>\n",
       "      <td>14.582445</td>\n",
       "      <td>7.121023</td>\n",
       "      <td>0.205369</td>\n",
       "      <td>0.445532</td>\n",
       "      <td>0.102438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>7.334232</td>\n",
       "      <td>0.397430</td>\n",
       "      <td>0.194908</td>\n",
       "      <td>5.760291</td>\n",
       "      <td>0.161491</td>\n",
       "      <td>25.342874</td>\n",
       "      <td>0.478339</td>\n",
       "      <td>0.731921</td>\n",
       "      <td>8.551638</td>\n",
       "      <td>6.482068</td>\n",
       "      <td>0.075895</td>\n",
       "      <td>0.230698</td>\n",
       "      <td>0.077154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.371102</td>\n",
       "      <td>-0.482293</td>\n",
       "      <td>0.297108</td>\n",
       "      <td>1.920211</td>\n",
       "      <td>0.020735</td>\n",
       "      <td>10.492070</td>\n",
       "      <td>0.292174</td>\n",
       "      <td>1.332239</td>\n",
       "      <td>3.531824</td>\n",
       "      <td>0.573040</td>\n",
       "      <td>0.042956</td>\n",
       "      <td>0.137978</td>\n",
       "      <td>-0.072000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.596484</td>\n",
       "      <td>0.052315</td>\n",
       "      <td>0.466494</td>\n",
       "      <td>3.531741</td>\n",
       "      <td>0.072324</td>\n",
       "      <td>25.324427</td>\n",
       "      <td>0.707876</td>\n",
       "      <td>1.742983</td>\n",
       "      <td>8.127398</td>\n",
       "      <td>1.813572</td>\n",
       "      <td>0.159265</td>\n",
       "      <td>0.248962</td>\n",
       "      <td>0.052617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>7.237246</td>\n",
       "      <td>0.290593</td>\n",
       "      <td>0.729540</td>\n",
       "      <td>4.476625</td>\n",
       "      <td>0.113483</td>\n",
       "      <td>33.048050</td>\n",
       "      <td>0.993926</td>\n",
       "      <td>2.212266</td>\n",
       "      <td>12.308800</td>\n",
       "      <td>4.675997</td>\n",
       "      <td>0.199137</td>\n",
       "      <td>0.365960</td>\n",
       "      <td>0.094618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>14.029394</td>\n",
       "      <td>0.679854</td>\n",
       "      <td>0.853552</td>\n",
       "      <td>7.867471</td>\n",
       "      <td>0.307852</td>\n",
       "      <td>46.159854</td>\n",
       "      <td>1.242135</td>\n",
       "      <td>2.822726</td>\n",
       "      <td>19.752448</td>\n",
       "      <td>10.723556</td>\n",
       "      <td>0.261186</td>\n",
       "      <td>0.670842</td>\n",
       "      <td>0.139564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>31.800150</td>\n",
       "      <td>1.110681</td>\n",
       "      <td>0.925871</td>\n",
       "      <td>45.427380</td>\n",
       "      <td>0.678935</td>\n",
       "      <td>199.999821</td>\n",
       "      <td>2.918984</td>\n",
       "      <td>4.604317</td>\n",
       "      <td>39.093347</td>\n",
       "      <td>25.836762</td>\n",
       "      <td>0.406678</td>\n",
       "      <td>0.966010</td>\n",
       "      <td>0.336072</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       average_rate   gridness   sparsity  selectivity  \\\n",
       "count     73.000000  73.000000  73.000000    73.000000   \n",
       "mean       9.554733   0.365628   0.666120     6.232196   \n",
       "std        7.334232   0.397430   0.194908     5.760291   \n",
       "min        1.371102  -0.482293   0.297108     1.920211   \n",
       "25%        3.596484   0.052315   0.466494     3.531741   \n",
       "50%        7.237246   0.290593   0.729540     4.476625   \n",
       "75%       14.029394   0.679854   0.853552     7.867471   \n",
       "max       31.800150   1.110681   0.925871    45.427380   \n",
       "\n",
       "       information_specificity    max_rate  information_rate  \\\n",
       "count                73.000000   73.000000         73.000000   \n",
       "mean                  0.194542   39.864795          1.063930   \n",
       "std                   0.161491   25.342874          0.478339   \n",
       "min                   0.020735   10.492070          0.292174   \n",
       "25%                   0.072324   25.324427          0.707876   \n",
       "50%                   0.113483   33.048050          0.993926   \n",
       "75%                   0.307852   46.159854          1.242135   \n",
       "max                   0.678935  199.999821          2.918984   \n",
       "\n",
       "       interspike_interval_cv  in_field_mean_rate  out_field_mean_rate  \\\n",
       "count               73.000000           73.000000            73.000000   \n",
       "mean                 2.328150           14.582445             7.121023   \n",
       "std                  0.731921            8.551638             6.482068   \n",
       "min                  1.332239            3.531824             0.573040   \n",
       "25%                  1.742983            8.127398             1.813572   \n",
       "50%                  2.212266           12.308800             4.675997   \n",
       "75%                  2.822726           19.752448            10.723556   \n",
       "max                  4.604317           39.093347            25.836762   \n",
       "\n",
       "       burst_event_ratio  specificity  speed_score  \n",
       "count          73.000000    73.000000    73.000000  \n",
       "mean            0.205369     0.445532     0.102438  \n",
       "std             0.075895     0.230698     0.077154  \n",
       "min             0.042956     0.137978    -0.072000  \n",
       "25%             0.159265     0.248962     0.052617  \n",
       "50%             0.199137     0.365960     0.094618  \n",
       "75%             0.261186     0.670842     0.139564  \n",
       "max             0.406678     0.966010     0.336072  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gridcell_in_baseline.query(\"stimulated\")[columns].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create nice table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "def summarize(data):\n",
    "    return \"{:.2f} ± {:.2f} ({})\".format(data.mean(), data.sem(), sum(~np.isnan(data)))\n",
    "\n",
    "\n",
    "def MWU(column, stim, base):\n",
    "    '''\n",
    "    Mann Whitney U\n",
    "    '''\n",
    "    Uvalue, pvalue = scipy.stats.mannwhitneyu(\n",
    "        stim[column].dropna(), \n",
    "        base[column].dropna(),\n",
    "        alternative='two-sided')\n",
    "\n",
    "    return \"{:.2f}, {:.3f}\".format(Uvalue, pvalue)\n",
    "\n",
    "\n",
    "def PRS(column, stim, base):\n",
    "    '''\n",
    "    Permutation ReSampling\n",
    "    '''\n",
    "    pvalue, observed_diff, diffs = permutation_resampling(\n",
    "        stim[column].dropna(), \n",
    "        base[column].dropna(), statistic=np.median)\n",
    "\n",
    "    return \"{:.2f}, {:.3f}\".format(observed_diff, pvalue)\n",
    "\n",
    "\n",
    "def rename(name):\n",
    "    return name.replace(\"_field\", \"-field\").replace(\"_\", \" \").capitalize()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Stimulated</th>\n",
       "      <th>Baseline</th>\n",
       "      <th>MWU</th>\n",
       "      <th>PRS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Average rate</th>\n",
       "      <td>9.55 ± 0.86 (73)</td>\n",
       "      <td>9.93 ± 0.64 (144)</td>\n",
       "      <td>5120.00, 0.757</td>\n",
       "      <td>0.14, 0.868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gridness</th>\n",
       "      <td>0.37 ± 0.05 (73)</td>\n",
       "      <td>0.56 ± 0.03 (144)</td>\n",
       "      <td>3718.00, 0.000</td>\n",
       "      <td>0.30, 0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sparsity</th>\n",
       "      <td>0.67 ± 0.02 (73)</td>\n",
       "      <td>0.66 ± 0.02 (144)</td>\n",
       "      <td>5515.00, 0.554</td>\n",
       "      <td>0.03, 0.413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Selectivity</th>\n",
       "      <td>6.23 ± 0.67 (73)</td>\n",
       "      <td>5.32 ± 0.24 (144)</td>\n",
       "      <td>5482.00, 0.606</td>\n",
       "      <td>0.21, 0.718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Information specificity</th>\n",
       "      <td>0.19 ± 0.02 (73)</td>\n",
       "      <td>0.20 ± 0.01 (144)</td>\n",
       "      <td>5094.00, 0.712</td>\n",
       "      <td>0.03, 0.501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Max rate</th>\n",
       "      <td>39.86 ± 2.97 (73)</td>\n",
       "      <td>37.44 ± 1.38 (144)</td>\n",
       "      <td>5256.00, 0.999</td>\n",
       "      <td>0.97, 0.592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Information rate</th>\n",
       "      <td>1.06 ± 0.06 (73)</td>\n",
       "      <td>1.18 ± 0.05 (144)</td>\n",
       "      <td>4681.00, 0.189</td>\n",
       "      <td>0.07, 0.426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Interspike interval cv</th>\n",
       "      <td>2.33 ± 0.09 (73)</td>\n",
       "      <td>2.35 ± 0.06 (144)</td>\n",
       "      <td>5197.00, 0.894</td>\n",
       "      <td>0.04, 0.715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>In-field mean rate</th>\n",
       "      <td>14.58 ± 1.00 (73)</td>\n",
       "      <td>15.71 ± 0.82 (144)</td>\n",
       "      <td>5000.00, 0.559</td>\n",
       "      <td>0.55, 0.751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Out-field mean rate</th>\n",
       "      <td>7.12 ± 0.76 (73)</td>\n",
       "      <td>7.32 ± 0.56 (144)</td>\n",
       "      <td>5166.00, 0.838</td>\n",
       "      <td>0.10, 0.934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Burst event ratio</th>\n",
       "      <td>0.21 ± 0.01 (73)</td>\n",
       "      <td>0.22 ± 0.01 (144)</td>\n",
       "      <td>4677.00, 0.186</td>\n",
       "      <td>0.01, 0.212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Specificity</th>\n",
       "      <td>0.45 ± 0.03 (73)</td>\n",
       "      <td>0.44 ± 0.02 (144)</td>\n",
       "      <td>5076.00, 0.681</td>\n",
       "      <td>0.02, 0.547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Speed score</th>\n",
       "      <td>0.10 ± 0.01 (73)</td>\n",
       "      <td>0.14 ± 0.01 (144)</td>\n",
       "      <td>3978.00, 0.003</td>\n",
       "      <td>0.04, 0.008</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                Stimulated            Baseline  \\\n",
       "Average rate              9.55 ± 0.86 (73)   9.93 ± 0.64 (144)   \n",
       "Gridness                  0.37 ± 0.05 (73)   0.56 ± 0.03 (144)   \n",
       "Sparsity                  0.67 ± 0.02 (73)   0.66 ± 0.02 (144)   \n",
       "Selectivity               6.23 ± 0.67 (73)   5.32 ± 0.24 (144)   \n",
       "Information specificity   0.19 ± 0.02 (73)   0.20 ± 0.01 (144)   \n",
       "Max rate                 39.86 ± 2.97 (73)  37.44 ± 1.38 (144)   \n",
       "Information rate          1.06 ± 0.06 (73)   1.18 ± 0.05 (144)   \n",
       "Interspike interval cv    2.33 ± 0.09 (73)   2.35 ± 0.06 (144)   \n",
       "In-field mean rate       14.58 ± 1.00 (73)  15.71 ± 0.82 (144)   \n",
       "Out-field mean rate       7.12 ± 0.76 (73)   7.32 ± 0.56 (144)   \n",
       "Burst event ratio         0.21 ± 0.01 (73)   0.22 ± 0.01 (144)   \n",
       "Specificity               0.45 ± 0.03 (73)   0.44 ± 0.02 (144)   \n",
       "Speed score               0.10 ± 0.01 (73)   0.14 ± 0.01 (144)   \n",
       "\n",
       "                                    MWU          PRS  \n",
       "Average rate             5120.00, 0.757  0.14, 0.868  \n",
       "Gridness                 3718.00, 0.000  0.30, 0.000  \n",
       "Sparsity                 5515.00, 0.554  0.03, 0.413  \n",
       "Selectivity              5482.00, 0.606  0.21, 0.718  \n",
       "Information specificity  5094.00, 0.712  0.03, 0.501  \n",
       "Max rate                 5256.00, 0.999  0.97, 0.592  \n",
       "Information rate         4681.00, 0.189  0.07, 0.426  \n",
       "Interspike interval cv   5197.00, 0.894  0.04, 0.715  \n",
       "In-field mean rate       5000.00, 0.559  0.55, 0.751  \n",
       "Out-field mean rate      5166.00, 0.838  0.10, 0.934  \n",
       "Burst event ratio        4677.00, 0.186  0.01, 0.212  \n",
       "Specificity              5076.00, 0.681  0.02, 0.547  \n",
       "Speed score              3978.00, 0.003  0.04, 0.008  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "_stim_data = gridcell_in_baseline.query('stimulated')\n",
    "_base_data = gridcell_in_baseline.query('baseline')\n",
    "\n",
    "result = pd.DataFrame()\n",
    "\n",
    "result['Stimulated'] = _stim_data[columns].agg(summarize)\n",
    "result['Baseline'] = _base_data[columns].agg(summarize)\n",
    "\n",
    "result.index = map(rename, result.index)\n",
    "\n",
    "result['MWU'] = list(map(lambda x: MWU(x, _stim_data, _base_data), columns))\n",
    "result['PRS'] = list(map(lambda x: PRS(x, _stim_data, _base_data), columns))\n",
    "\n",
    "result.to_latex(output_path / \"statistics\" / \"statistics.tex\")\n",
    "result.to_latex(output_path / \"statistics\" / \"statistics.csv\")\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Stimulated</th>\n",
       "      <th>Baseline</th>\n",
       "      <th>MWU</th>\n",
       "      <th>PRS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Average rate</th>\n",
       "      <td>9.06 ± 1.21 (32)</td>\n",
       "      <td>9.65 ± 0.90 (68)</td>\n",
       "      <td>1044.00, 0.748</td>\n",
       "      <td>0.02, 0.997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gridness</th>\n",
       "      <td>0.34 ± 0.06 (32)</td>\n",
       "      <td>0.58 ± 0.04 (68)</td>\n",
       "      <td>676.00, 0.002</td>\n",
       "      <td>0.27, 0.003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sparsity</th>\n",
       "      <td>0.67 ± 0.03 (32)</td>\n",
       "      <td>0.65 ± 0.02 (68)</td>\n",
       "      <td>1154.00, 0.628</td>\n",
       "      <td>0.06, 0.319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Selectivity</th>\n",
       "      <td>5.43 ± 0.47 (32)</td>\n",
       "      <td>5.22 ± 0.35 (68)</td>\n",
       "      <td>1140.00, 0.704</td>\n",
       "      <td>0.29, 0.705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Information specificity</th>\n",
       "      <td>0.19 ± 0.03 (32)</td>\n",
       "      <td>0.21 ± 0.02 (68)</td>\n",
       "      <td>1005.00, 0.542</td>\n",
       "      <td>0.05, 0.095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Max rate</th>\n",
       "      <td>35.53 ± 2.50 (32)</td>\n",
       "      <td>36.19 ± 1.79 (68)</td>\n",
       "      <td>1063.00, 0.856</td>\n",
       "      <td>0.04, 0.972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Information rate</th>\n",
       "      <td>1.04 ± 0.10 (32)</td>\n",
       "      <td>1.21 ± 0.06 (68)</td>\n",
       "      <td>867.00, 0.103</td>\n",
       "      <td>0.12, 0.225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Interspike interval cv</th>\n",
       "      <td>2.29 ± 0.12 (32)</td>\n",
       "      <td>2.38 ± 0.10 (68)</td>\n",
       "      <td>1053.00, 0.799</td>\n",
       "      <td>0.04, 0.891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>In-field mean rate</th>\n",
       "      <td>13.87 ± 1.42 (32)</td>\n",
       "      <td>15.27 ± 1.12 (68)</td>\n",
       "      <td>1024.00, 0.639</td>\n",
       "      <td>0.10, 0.948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Out-field mean rate</th>\n",
       "      <td>6.52 ± 1.04 (32)</td>\n",
       "      <td>6.98 ± 0.76 (68)</td>\n",
       "      <td>1037.00, 0.709</td>\n",
       "      <td>0.35, 0.905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Burst event ratio</th>\n",
       "      <td>0.23 ± 0.01 (32)</td>\n",
       "      <td>0.23 ± 0.01 (68)</td>\n",
       "      <td>1158.00, 0.608</td>\n",
       "      <td>0.01, 0.478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Specificity</th>\n",
       "      <td>0.45 ± 0.04 (32)</td>\n",
       "      <td>0.45 ± 0.02 (68)</td>\n",
       "      <td>1060.00, 0.839</td>\n",
       "      <td>0.01, 0.852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Speed score</th>\n",
       "      <td>0.09 ± 0.01 (32)</td>\n",
       "      <td>0.14 ± 0.01 (68)</td>\n",
       "      <td>736.00, 0.009</td>\n",
       "      <td>0.05, 0.011</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                Stimulated           Baseline             MWU  \\\n",
       "Average rate              9.06 ± 1.21 (32)   9.65 ± 0.90 (68)  1044.00, 0.748   \n",
       "Gridness                  0.34 ± 0.06 (32)   0.58 ± 0.04 (68)   676.00, 0.002   \n",
       "Sparsity                  0.67 ± 0.03 (32)   0.65 ± 0.02 (68)  1154.00, 0.628   \n",
       "Selectivity               5.43 ± 0.47 (32)   5.22 ± 0.35 (68)  1140.00, 0.704   \n",
       "Information specificity   0.19 ± 0.03 (32)   0.21 ± 0.02 (68)  1005.00, 0.542   \n",
       "Max rate                 35.53 ± 2.50 (32)  36.19 ± 1.79 (68)  1063.00, 0.856   \n",
       "Information rate          1.04 ± 0.10 (32)   1.21 ± 0.06 (68)   867.00, 0.103   \n",
       "Interspike interval cv    2.29 ± 0.12 (32)   2.38 ± 0.10 (68)  1053.00, 0.799   \n",
       "In-field mean rate       13.87 ± 1.42 (32)  15.27 ± 1.12 (68)  1024.00, 0.639   \n",
       "Out-field mean rate       6.52 ± 1.04 (32)   6.98 ± 0.76 (68)  1037.00, 0.709   \n",
       "Burst event ratio         0.23 ± 0.01 (32)   0.23 ± 0.01 (68)  1158.00, 0.608   \n",
       "Specificity               0.45 ± 0.04 (32)   0.45 ± 0.02 (68)  1060.00, 0.839   \n",
       "Speed score               0.09 ± 0.01 (32)   0.14 ± 0.01 (68)   736.00, 0.009   \n",
       "\n",
       "                                 PRS  \n",
       "Average rate             0.02, 0.997  \n",
       "Gridness                 0.27, 0.003  \n",
       "Sparsity                 0.06, 0.319  \n",
       "Selectivity              0.29, 0.705  \n",
       "Information specificity  0.05, 0.095  \n",
       "Max rate                 0.04, 0.972  \n",
       "Information rate         0.12, 0.225  \n",
       "Interspike interval cv   0.04, 0.891  \n",
       "In-field mean rate       0.10, 0.948  \n",
       "Out-field mean rate      0.35, 0.905  \n",
       "Burst event ratio        0.01, 0.478  \n",
       "Specificity              0.01, 0.852  \n",
       "Speed score              0.05, 0.011  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "_stim_data = stimulated_11\n",
    "_base_data = baseline_i\n",
    "\n",
    "result = pd.DataFrame()\n",
    "\n",
    "result['Stimulated'] = _stim_data[columns].agg(summarize)\n",
    "result['Baseline'] = _base_data[columns].agg(summarize)\n",
    "\n",
    "result.index = map(rename, result.index)\n",
    "\n",
    "result['MWU'] = list(map(lambda x: MWU(x, _stim_data, _base_data), columns))\n",
    "result['PRS'] = list(map(lambda x: PRS(x, _stim_data, _base_data), columns))\n",
    "\n",
    "\n",
    "result.to_latex(output_path / \"statistics\" / \"statistics_11.tex\")\n",
    "result.to_latex(output_path / \"statistics\" / \"statistics_11.csv\")\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Stimulated</th>\n",
       "      <th>Baseline</th>\n",
       "      <th>MWU</th>\n",
       "      <th>PRS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Average rate</th>\n",
       "      <td>10.11 ± 1.51 (28)</td>\n",
       "      <td>10.01 ± 1.06 (58)</td>\n",
       "      <td>808.00, 0.974</td>\n",
       "      <td>0.07, 0.968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gridness</th>\n",
       "      <td>0.28 ± 0.08 (28)</td>\n",
       "      <td>0.57 ± 0.05 (58)</td>\n",
       "      <td>493.00, 0.003</td>\n",
       "      <td>0.46, 0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sparsity</th>\n",
       "      <td>0.68 ± 0.04 (28)</td>\n",
       "      <td>0.66 ± 0.02 (58)</td>\n",
       "      <td>881.00, 0.528</td>\n",
       "      <td>0.04, 0.328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Selectivity</th>\n",
       "      <td>7.47 ± 1.63 (28)</td>\n",
       "      <td>5.53 ± 0.40 (58)</td>\n",
       "      <td>809.00, 0.982</td>\n",
       "      <td>0.30, 0.638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Information specificity</th>\n",
       "      <td>0.20 ± 0.03 (28)</td>\n",
       "      <td>0.19 ± 0.02 (58)</td>\n",
       "      <td>812.00, 0.996</td>\n",
       "      <td>0.01, 0.588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Max rate</th>\n",
       "      <td>45.33 ± 6.85 (28)</td>\n",
       "      <td>38.95 ± 2.48 (58)</td>\n",
       "      <td>797.00, 0.894</td>\n",
       "      <td>2.09, 0.451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Information rate</th>\n",
       "      <td>1.04 ± 0.08 (28)</td>\n",
       "      <td>1.12 ± 0.09 (58)</td>\n",
       "      <td>799.00, 0.908</td>\n",
       "      <td>0.03, 0.858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Interspike interval cv</th>\n",
       "      <td>2.28 ± 0.16 (28)</td>\n",
       "      <td>2.32 ± 0.09 (58)</td>\n",
       "      <td>745.00, 0.540</td>\n",
       "      <td>0.16, 0.463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>In-field mean rate</th>\n",
       "      <td>14.95 ± 1.71 (28)</td>\n",
       "      <td>15.81 ± 1.38 (58)</td>\n",
       "      <td>779.00, 0.765</td>\n",
       "      <td>0.98, 0.712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Out-field mean rate</th>\n",
       "      <td>7.80 ± 1.35 (28)</td>\n",
       "      <td>7.58 ± 0.96 (58)</td>\n",
       "      <td>827.00, 0.894</td>\n",
       "      <td>0.10, 0.927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Burst event ratio</th>\n",
       "      <td>0.18 ± 0.01 (28)</td>\n",
       "      <td>0.21 ± 0.01 (58)</td>\n",
       "      <td>641.00, 0.116</td>\n",
       "      <td>0.03, 0.099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Specificity</th>\n",
       "      <td>0.43 ± 0.05 (28)</td>\n",
       "      <td>0.43 ± 0.03 (58)</td>\n",
       "      <td>749.00, 0.565</td>\n",
       "      <td>0.02, 0.657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Speed score</th>\n",
       "      <td>0.10 ± 0.02 (28)</td>\n",
       "      <td>0.12 ± 0.01 (58)</td>\n",
       "      <td>617.00, 0.073</td>\n",
       "      <td>0.02, 0.116</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                Stimulated           Baseline            MWU  \\\n",
       "Average rate             10.11 ± 1.51 (28)  10.01 ± 1.06 (58)  808.00, 0.974   \n",
       "Gridness                  0.28 ± 0.08 (28)   0.57 ± 0.05 (58)  493.00, 0.003   \n",
       "Sparsity                  0.68 ± 0.04 (28)   0.66 ± 0.02 (58)  881.00, 0.528   \n",
       "Selectivity               7.47 ± 1.63 (28)   5.53 ± 0.40 (58)  809.00, 0.982   \n",
       "Information specificity   0.20 ± 0.03 (28)   0.19 ± 0.02 (58)  812.00, 0.996   \n",
       "Max rate                 45.33 ± 6.85 (28)  38.95 ± 2.48 (58)  797.00, 0.894   \n",
       "Information rate          1.04 ± 0.08 (28)   1.12 ± 0.09 (58)  799.00, 0.908   \n",
       "Interspike interval cv    2.28 ± 0.16 (28)   2.32 ± 0.09 (58)  745.00, 0.540   \n",
       "In-field mean rate       14.95 ± 1.71 (28)  15.81 ± 1.38 (58)  779.00, 0.765   \n",
       "Out-field mean rate       7.80 ± 1.35 (28)   7.58 ± 0.96 (58)  827.00, 0.894   \n",
       "Burst event ratio         0.18 ± 0.01 (28)   0.21 ± 0.01 (58)  641.00, 0.116   \n",
       "Specificity               0.43 ± 0.05 (28)   0.43 ± 0.03 (58)  749.00, 0.565   \n",
       "Speed score               0.10 ± 0.02 (28)   0.12 ± 0.01 (58)  617.00, 0.073   \n",
       "\n",
       "                                 PRS  \n",
       "Average rate             0.07, 0.968  \n",
       "Gridness                 0.46, 0.000  \n",
       "Sparsity                 0.04, 0.328  \n",
       "Selectivity              0.30, 0.638  \n",
       "Information specificity  0.01, 0.588  \n",
       "Max rate                 2.09, 0.451  \n",
       "Information rate         0.03, 0.858  \n",
       "Interspike interval cv   0.16, 0.463  \n",
       "In-field mean rate       0.98, 0.712  \n",
       "Out-field mean rate      0.10, 0.927  \n",
       "Burst event ratio        0.03, 0.099  \n",
       "Specificity              0.02, 0.657  \n",
       "Speed score              0.02, 0.116  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "_stim_data = stimulated_30\n",
    "_base_data = baseline_ii\n",
    "\n",
    "result = pd.DataFrame()\n",
    "\n",
    "result['Stimulated'] = _stim_data[columns].agg(summarize)\n",
    "result['Baseline'] = _base_data[columns].agg(summarize)\n",
    "\n",
    "result.index = map(rename, result.index)\n",
    "\n",
    "result['MWU'] = list(map(lambda x: MWU(x, _stim_data, _base_data), columns))\n",
    "result['PRS'] = list(map(lambda x: PRS(x, _stim_data, _base_data), columns))\n",
    "\n",
    "\n",
    "result.to_latex(output_path / \"statistics\" / \"statistics_30.tex\")\n",
    "result.to_latex(output_path / \"statistics\" / \"statistics_30.csv\")\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\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>Stimulated 30Hz</th>\n",
       "      <th>Stimulated 11Hz</th>\n",
       "      <th>MWU</th>\n",
       "      <th>PRS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Average rate</th>\n",
       "      <td>10.11 ± 1.51 (28)</td>\n",
       "      <td>9.06 ± 1.21 (32)</td>\n",
       "      <td>463.00, 0.830</td>\n",
       "      <td>0.12, 0.978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gridness</th>\n",
       "      <td>0.28 ± 0.08 (28)</td>\n",
       "      <td>0.34 ± 0.06 (32)</td>\n",
       "      <td>402.00, 0.500</td>\n",
       "      <td>0.15, 0.330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sparsity</th>\n",
       "      <td>0.68 ± 0.04 (28)</td>\n",
       "      <td>0.67 ± 0.03 (32)</td>\n",
       "      <td>479.00, 0.651</td>\n",
       "      <td>0.03, 0.493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Selectivity</th>\n",
       "      <td>7.47 ± 1.63 (28)</td>\n",
       "      <td>5.43 ± 0.47 (32)</td>\n",
       "      <td>449.00, 0.994</td>\n",
       "      <td>0.00, 0.999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Information specificity</th>\n",
       "      <td>0.20 ± 0.03 (28)</td>\n",
       "      <td>0.19 ± 0.03 (32)</td>\n",
       "      <td>440.00, 0.912</td>\n",
       "      <td>0.01, 0.768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Max rate</th>\n",
       "      <td>45.33 ± 6.85 (28)</td>\n",
       "      <td>35.53 ± 2.50 (32)</td>\n",
       "      <td>488.00, 0.558</td>\n",
       "      <td>1.22, 0.682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Information rate</th>\n",
       "      <td>1.04 ± 0.08 (28)</td>\n",
       "      <td>1.04 ± 0.10 (32)</td>\n",
       "      <td>475.00, 0.695</td>\n",
       "      <td>0.02, 0.775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Interspike interval cv</th>\n",
       "      <td>2.28 ± 0.16 (28)</td>\n",
       "      <td>2.29 ± 0.12 (32)</td>\n",
       "      <td>411.00, 0.589</td>\n",
       "      <td>0.14, 0.659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>In-field mean rate</th>\n",
       "      <td>14.95 ± 1.71 (28)</td>\n",
       "      <td>13.87 ± 1.42 (32)</td>\n",
       "      <td>473.00, 0.717</td>\n",
       "      <td>1.02, 0.794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Out-field mean rate</th>\n",
       "      <td>7.80 ± 1.35 (28)</td>\n",
       "      <td>6.52 ± 1.04 (32)</td>\n",
       "      <td>489.00, 0.548</td>\n",
       "      <td>0.17, 0.940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Burst event ratio</th>\n",
       "      <td>0.18 ± 0.01 (28)</td>\n",
       "      <td>0.23 ± 0.01 (32)</td>\n",
       "      <td>273.00, 0.010</td>\n",
       "      <td>0.05, 0.028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Specificity</th>\n",
       "      <td>0.43 ± 0.05 (28)</td>\n",
       "      <td>0.45 ± 0.04 (32)</td>\n",
       "      <td>400.00, 0.482</td>\n",
       "      <td>0.02, 0.570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Speed score</th>\n",
       "      <td>0.10 ± 0.02 (28)</td>\n",
       "      <td>0.09 ± 0.01 (32)</td>\n",
       "      <td>446.00, 0.982</td>\n",
       "      <td>0.01, 0.480</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Stimulated 30Hz    Stimulated 11Hz            MWU  \\\n",
       "Average rate             10.11 ± 1.51 (28)   9.06 ± 1.21 (32)  463.00, 0.830   \n",
       "Gridness                  0.28 ± 0.08 (28)   0.34 ± 0.06 (32)  402.00, 0.500   \n",
       "Sparsity                  0.68 ± 0.04 (28)   0.67 ± 0.03 (32)  479.00, 0.651   \n",
       "Selectivity               7.47 ± 1.63 (28)   5.43 ± 0.47 (32)  449.00, 0.994   \n",
       "Information specificity   0.20 ± 0.03 (28)   0.19 ± 0.03 (32)  440.00, 0.912   \n",
       "Max rate                 45.33 ± 6.85 (28)  35.53 ± 2.50 (32)  488.00, 0.558   \n",
       "Information rate          1.04 ± 0.08 (28)   1.04 ± 0.10 (32)  475.00, 0.695   \n",
       "Interspike interval cv    2.28 ± 0.16 (28)   2.29 ± 0.12 (32)  411.00, 0.589   \n",
       "In-field mean rate       14.95 ± 1.71 (28)  13.87 ± 1.42 (32)  473.00, 0.717   \n",
       "Out-field mean rate       7.80 ± 1.35 (28)   6.52 ± 1.04 (32)  489.00, 0.548   \n",
       "Burst event ratio         0.18 ± 0.01 (28)   0.23 ± 0.01 (32)  273.00, 0.010   \n",
       "Specificity               0.43 ± 0.05 (28)   0.45 ± 0.04 (32)  400.00, 0.482   \n",
       "Speed score               0.10 ± 0.02 (28)   0.09 ± 0.01 (32)  446.00, 0.982   \n",
       "\n",
       "                                 PRS  \n",
       "Average rate             0.12, 0.978  \n",
       "Gridness                 0.15, 0.330  \n",
       "Sparsity                 0.03, 0.493  \n",
       "Selectivity              0.00, 0.999  \n",
       "Information specificity  0.01, 0.768  \n",
       "Max rate                 1.22, 0.682  \n",
       "Information rate         0.02, 0.775  \n",
       "Interspike interval cv   0.14, 0.659  \n",
       "In-field mean rate       1.02, 0.794  \n",
       "Out-field mean rate      0.17, 0.940  \n",
       "Burst event ratio        0.05, 0.028  \n",
       "Specificity              0.02, 0.570  \n",
       "Speed score              0.01, 0.480  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "_stim_data = stimulated_30\n",
    "_base_data = stimulated_11\n",
    "\n",
    "result = pd.DataFrame()\n",
    "\n",
    "result['Stimulated 30Hz'] = _stim_data[columns].agg(summarize)\n",
    "result['Stimulated 11Hz'] = _base_data[columns].agg(summarize)\n",
    "\n",
    "result.index = map(rename, result.index)\n",
    "\n",
    "result['MWU'] = list(map(lambda x: MWU(x, _stim_data, _base_data), columns))\n",
    "result['PRS'] = list(map(lambda x: PRS(x, _stim_data, _base_data), columns))\n",
    "\n",
    "\n",
    "result.to_latex(output_path / \"statistics\" / \"statistics_11_vs_30.tex\")\n",
    "result.to_latex(output_path / \"statistics\" / \"statistics_11_vs_30.csv\")\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Baseline i</th>\n",
       "      <th>Baseline ii</th>\n",
       "      <th>MWU</th>\n",
       "      <th>PRS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Average rate</th>\n",
       "      <td>9.65 ± 0.90 (68)</td>\n",
       "      <td>10.01 ± 1.06 (58)</td>\n",
       "      <td>1979.00, 0.975</td>\n",
       "      <td>0.20, 0.935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gridness</th>\n",
       "      <td>0.58 ± 0.04 (68)</td>\n",
       "      <td>0.57 ± 0.05 (58)</td>\n",
       "      <td>1946.00, 0.901</td>\n",
       "      <td>0.04, 0.479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sparsity</th>\n",
       "      <td>0.65 ± 0.02 (68)</td>\n",
       "      <td>0.66 ± 0.02 (58)</td>\n",
       "      <td>1870.00, 0.619</td>\n",
       "      <td>0.05, 0.253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Selectivity</th>\n",
       "      <td>5.22 ± 0.35 (68)</td>\n",
       "      <td>5.53 ± 0.40 (58)</td>\n",
       "      <td>1833.00, 0.498</td>\n",
       "      <td>0.01, 0.973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Information specificity</th>\n",
       "      <td>0.21 ± 0.02 (68)</td>\n",
       "      <td>0.19 ± 0.02 (58)</td>\n",
       "      <td>2135.00, 0.426</td>\n",
       "      <td>0.05, 0.136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Max rate</th>\n",
       "      <td>36.19 ± 1.79 (68)</td>\n",
       "      <td>38.95 ± 2.48 (58)</td>\n",
       "      <td>1824.00, 0.470</td>\n",
       "      <td>0.84, 0.675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Information rate</th>\n",
       "      <td>1.21 ± 0.06 (68)</td>\n",
       "      <td>1.12 ± 0.09 (58)</td>\n",
       "      <td>2246.00, 0.181</td>\n",
       "      <td>0.13, 0.169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Interspike interval cv</th>\n",
       "      <td>2.38 ± 0.10 (68)</td>\n",
       "      <td>2.32 ± 0.09 (58)</td>\n",
       "      <td>2055.00, 0.686</td>\n",
       "      <td>0.02, 0.805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>In-field mean rate</th>\n",
       "      <td>15.27 ± 1.12 (68)</td>\n",
       "      <td>15.81 ± 1.38 (58)</td>\n",
       "      <td>1926.00, 0.824</td>\n",
       "      <td>0.15, 0.931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Out-field mean rate</th>\n",
       "      <td>6.98 ± 0.76 (68)</td>\n",
       "      <td>7.58 ± 0.96 (58)</td>\n",
       "      <td>1946.00, 0.901</td>\n",
       "      <td>0.62, 0.650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Burst event ratio</th>\n",
       "      <td>0.23 ± 0.01 (68)</td>\n",
       "      <td>0.21 ± 0.01 (58)</td>\n",
       "      <td>2112.00, 0.495</td>\n",
       "      <td>0.00, 0.743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Specificity</th>\n",
       "      <td>0.45 ± 0.02 (68)</td>\n",
       "      <td>0.43 ± 0.03 (58)</td>\n",
       "      <td>2035.00, 0.760</td>\n",
       "      <td>0.01, 0.834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Speed score</th>\n",
       "      <td>0.14 ± 0.01 (68)</td>\n",
       "      <td>0.12 ± 0.01 (58)</td>\n",
       "      <td>2267.00, 0.149</td>\n",
       "      <td>0.05, 0.014</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                Baseline i        Baseline ii             MWU  \\\n",
       "Average rate              9.65 ± 0.90 (68)  10.01 ± 1.06 (58)  1979.00, 0.975   \n",
       "Gridness                  0.58 ± 0.04 (68)   0.57 ± 0.05 (58)  1946.00, 0.901   \n",
       "Sparsity                  0.65 ± 0.02 (68)   0.66 ± 0.02 (58)  1870.00, 0.619   \n",
       "Selectivity               5.22 ± 0.35 (68)   5.53 ± 0.40 (58)  1833.00, 0.498   \n",
       "Information specificity   0.21 ± 0.02 (68)   0.19 ± 0.02 (58)  2135.00, 0.426   \n",
       "Max rate                 36.19 ± 1.79 (68)  38.95 ± 2.48 (58)  1824.00, 0.470   \n",
       "Information rate          1.21 ± 0.06 (68)   1.12 ± 0.09 (58)  2246.00, 0.181   \n",
       "Interspike interval cv    2.38 ± 0.10 (68)   2.32 ± 0.09 (58)  2055.00, 0.686   \n",
       "In-field mean rate       15.27 ± 1.12 (68)  15.81 ± 1.38 (58)  1926.00, 0.824   \n",
       "Out-field mean rate       6.98 ± 0.76 (68)   7.58 ± 0.96 (58)  1946.00, 0.901   \n",
       "Burst event ratio         0.23 ± 0.01 (68)   0.21 ± 0.01 (58)  2112.00, 0.495   \n",
       "Specificity               0.45 ± 0.02 (68)   0.43 ± 0.03 (58)  2035.00, 0.760   \n",
       "Speed score               0.14 ± 0.01 (68)   0.12 ± 0.01 (58)  2267.00, 0.149   \n",
       "\n",
       "                                 PRS  \n",
       "Average rate             0.20, 0.935  \n",
       "Gridness                 0.04, 0.479  \n",
       "Sparsity                 0.05, 0.253  \n",
       "Selectivity              0.01, 0.973  \n",
       "Information specificity  0.05, 0.136  \n",
       "Max rate                 0.84, 0.675  \n",
       "Information rate         0.13, 0.169  \n",
       "Interspike interval cv   0.02, 0.805  \n",
       "In-field mean rate       0.15, 0.931  \n",
       "Out-field mean rate      0.62, 0.650  \n",
       "Burst event ratio        0.00, 0.743  \n",
       "Specificity              0.01, 0.834  \n",
       "Speed score              0.05, 0.014  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "_stim_data = baseline_i\n",
    "_base_data = baseline_ii\n",
    "\n",
    "result = pd.DataFrame()\n",
    "\n",
    "result['Baseline i'] = _stim_data[columns].agg(summarize)\n",
    "result['Baseline ii'] = _base_data[columns].agg(summarize)\n",
    "\n",
    "result.index = map(rename, result.index)\n",
    "\n",
    "result['MWU'] = list(map(lambda x: MWU(x, _stim_data, _base_data), columns))\n",
    "result['PRS'] = list(map(lambda x: PRS(x, _stim_data, _base_data), columns))\n",
    "\n",
    "\n",
    "result.to_latex(output_path / \"statistics\" / \"statistics_base_i_vs_base_ii.tex\")\n",
    "result.to_latex(output_path / \"statistics\" / \"statistics_base_i_vs_base_ii.csv\")\n",
    "result"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Violinplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "plt.rc('axes', titlesize=12)\n",
    "plt.rcParams.update({\n",
    "    'font.size': 12, \n",
    "    'figure.figsize': (1.7, 3), \n",
    "    'figure.dpi': 150\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "stuff = {\n",
    "    '': {\n",
    "        'base': gridcell_in_baseline.query('baseline'),\n",
    "        'stim': gridcell_in_baseline.query('stimulated')\n",
    "    },\n",
    "    '_11': {\n",
    "        'base': baseline_i,\n",
    "        'stim': stimulated_11\n",
    "    },\n",
    "    '_30': {\n",
    "        'base': baseline_ii,\n",
    "        'stim': stimulated_30\n",
    "    }\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Information rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "U-test: U value 5831.0 p value 0.18862797777215656\n",
      "_11\n",
      "U-test: U value 1309.0 p value 0.10324315446274247\n",
      "_30\n",
      "U-test: U value 825.0 p value 0.9082875409541091\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "for key, data in stuff.items():\n",
    "    baseline = data['base']['information_rate'].to_numpy()\n",
    "    stimulated = data['stim']['information_rate'].to_numpy()\n",
    "    print(key)\n",
    "    plt.figure()\n",
    "    violinplot(baseline, stimulated)\n",
    "    plt.title(\"Spatial information\")\n",
    "    plt.ylabel(\"bits/s\")\n",
    "    plt.ylim(-0.2, 4)\n",
    "\n",
    "    plt.savefig(output_path / \"figures\" / f\"spatial_information{key}.svg\", bbox_inches=\"tight\")\n",
    "    plt.savefig(output_path / \"figures\" / f\"spatial_information{key}.png\", dpi=600, bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "U-test: U value 5436.0 p value 0.6812512952522969\n",
      "U-test: U value 1116.0 p value 0.8389752457478267\n",
      "U-test: U value 875.0 p value 0.5646191993775383\n"
     ]
    },
    {
     "data": {
      "image/png": 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bUEPDx6JGb9YDr5BS7pjR7jmoUb0Ss1d7zUspXzvLMY1G04G0xDMLR5aup8F5a0KIE5kWsv8EPh4liQpVsvnHqLSAn1OTahASTfe5TQuWRtM9NHU0M8xwvwyVpNlwpVHUqkU9KA9rZuG7h1DzxDzgTCHEzAnUkZg9uoT7azSaDqNpYhYWjVvPdBXMLzCdXbxYojrtP683FCzVkl3R1JoXzDgcidlCKyBoNJoU0EzP7GjUJOi7gRfOVQZnAXwCNZ3lV3OcE03LmTnRWHtmGk0X0syY2Q7gdVLK3yz1QlLKPzFjQdRahBDPRE1vgZpqnmFd/JWoLmheCPF5VOWCflTxwOvDqSsajSZlNE3Mwnl+ddckbCZCLS8WJe/tRBUmjIi8sgDlmfXOaP4BIcSNqBV/6tW7WqgN/w0gZ1lTUKPRtJ+Oms4UVny4ClVGGeDvaisgMC1mGVS9r9NRFSqegqpskEdlNB+w4k8DnLRq1ao3oERT/+gf/TP9ExsdMwMg9Mi+x3TZl3+VUs4UpUdQJVf2SCm/XPP3CmodwUeA24DXCiFeq7ucGk166AgxC4vz/Zjpeu8/4MCqnwCE8bpZY3ZSyjuEEDehSqe8melqoRqNpsNJfDczDOrfzrSQXQH89SxrFS6EaFbACXOepdFoOopEe2ZhHaXfoNI+fNSK3f8yTxsLtRDGbPWsIgF3Zjmu0Wg6kMR6ZkKIU1AjlUcDZeAvFyBkQyiR+vgcpz0v3K5dupUajSYpJFLMhBAHo+JZK1ELSfy5lHKuBNqItahk2ncLIZ7kdQq1Cnc0u+CnTTJXo9EkgFjFTAhxrBDi6UKIY2cc+idUdQwfeHu9+uuz8A3U8PBpqBWSltfc6xym66X/KFx1RqPRpIS4Y2b/iVp84lbU4hXR4qnR+oYl4O+FEH8/xzWuCVerQUp5qxDib1CLWbwX+CshhEQtMhEF/H9DE1fd1mg0ySBuMavHnzFt1yBqlaK5uKl2R0r5L0KI1cAlqOTaZ6KSZf+ISum4rlUr5mg0mvjQqzM1gBDi8VWrVp1y4403xm2KRpM0ZlsZveUkcgBAo9FoFosWM41Gkwq0mGk0mlSgxUyj0aQCLWYajSYVaDHTaDSpQIuZRqNJBVrMNBpNKtBiptFoUoEWM41Gkwq0mGk0mlSgxUyj0aQCLWYajSYVaDHTaDSpQIuZRqNJBVrMNBpNKtBiptFoUoEWM41Gkwq0mGk0mlSgxUyj0aQCLWYajSYVaDHTaDSpQIuZRqNJBVrMNBpNKtBiptFoUoEWM41Gkwq0mGkSyfXXX48QgksuuYRSqcSVV17Jq1/9ak499VRe+MIXctFFF3H//fc/qd2mTZv43Oc+x8tf/nKe9axn8fznP583velNXHHFFYyMjMTwSjTtIhO3ARrNXExOTvL2t7+d9evXc/jhh7Nq1So2btzILbfcwm233cZ3vvMdzjnnHAAefPBB3v/+91MqlVi+fDknn3wy1WqV9evXs27dOm644QZ+9rOfceSRR8b7ojQtQXtmmkRzxx13MDY2xtVXX83tt9/ODTfcwM0334wQAs/zuOKKK6bOvfzyyymVSpx//vnceeed3HDDDfzmN7/hd7/7Hccffzx79+7lu9/9boyvRtNKtJhpEs8Xv/hFXvziF0/tH3744Vx88cUAPPHEExSLxanfAd7ylreQy+Wmzj/mmGP4zGc+w8te9jKOOuqoNlquaSdazDSJxrIsXvKSlzzp7yeddNLU74VCAYDjjjsOgEsvvZTVq1fjOM7UOS9/+cu56qqr+NCHPtRiizVxocVMk2hWrFhBb2/vk/7e09Mz9bvrugB86lOfIpPJ8PDDD3PBBRdwxhlncOGFF3LttdcyNDTULpM1MaHFTJNostnsvOcEQQDAS17yEn75y1/yute9joGBAUqlErfeeiuXX345r371q3nnO9/Jxo0bW22yJib0aKYmVTzjGc/gm9/8Jo7j8PDDD3PPPfdw11138cADD7BmzRouuOACfv/739Pf3x+3qZomoz0zTSrwPI+tW7dy3333AcqjO/300/noRz/Kddddx3XXXYdhGOzfv5+77rorZms1rUB7ZppUsGHDBt74xjdiWRa33norhx122AHHTzvtNAYGBigUCvi+H5OVmlaiPTNNKnj605/O0572NDzP42//9m/Zs2fP1DHbtrniiisoFAr09/dz+umnx2ipplVoz0yTGq644grOO+887r33Xv78z/+co48+mr6+Pnbs2MHk5CSWZfHlL3+ZQw45JG5TNS1Ai5kmNaxatYobbriBq6++mtWrV7Nr1y6CIODwww/nla98Je973/s4+eST4zZT0yKMaFhbs3CEEI+vWrXqlBtvvDFuUzSapGHEdWMdM9NoNKlAi5lGo0kFWsw0Gk0q0GKm0WhSgRYzjUaTCrSYaTSaVKDFTKPRpIKWJs0KIT4EXAV8UEr5/QbaHwp8AXgjcDQwBtwJ/IOU8u452h0LfBF4DXA4sB+4GbhcSrlusXakmVKphG3bcZvR9eRyOV3JY4m0TMyEEC8A/nEJ7Y9ACddJQAl4BCVobwbOFUJcKKW8pk47EbY7FJgAHgZOBM4H3iaEeJOU8neN2pUmPvKRj3DVVVehE6fjxzAMLrroIr7zne/EbUrH0pJuphDiHOB3wLIlXOZnKCH7A3C0lPJ04KnAZwELuEoI8YwZ980Av0YJ2Q+BI6WULwCOBP4N6AV+Gnp8XU2pVNJCliCCIOCqq66iVCrFbUrH0lQxE0L0CiEuA24CDl7Cdc4BXgoUgHdKKccApJS+lPIbwI+ALPD5GU3fDawCtgEfkFKWw3Y28HHgduAg4JJGbUsLtm1rIUsYQRDoLv8SaFo3UwixCvgjcAzgoWJdHwSOa+ByF4TbX0kph+scvwolXG8SQvRFolXT7oehgE0hpQyEEN8DzgbeEdqnCRkaGmLFihVxm9F1TExMcPzxx8dtRipoZszsaJSQ3Q1cLKVcI4T4YIPXOjPc3jHL8XsBFxgATgduF0KYwBnztLsz3J4ohDhGSrm9QftSx4oVKzjooIPiNkOjaZhmdjN3AK+TUp4ppVzT6EVCUTox3N1U7xwppQPsDHefFm6PAvrmagdsR3mNte00Gk0KaJqYSSk3Sil/04RLHcy0x7h/jvNGwu3KcHt4zbG67aSUHmqEs7adRqNJAUlMmq1NtqnMcV4UJ+ufsV1su64kl8thmurjtyzrgBXANe1Dfw7NI4li5s1/ygFEQ3KNtutK+vv7+djHPoZlWVx88cU6YTMm9OfQPJJYNrtQ8/uTl7KeJoqPRYk5M9vN5p3NbNe1XHnllVx55ZVxm9H16M+hOSTRMysA1fD3uZJbo5jXvnBbm8JRt12YVBvlH+yrd45Go+lMEidmUkofkOHu8fXOEUJkUbMBANaH7XYxHdyv2w6VOmLVttNoNOkgcWIWck+4PXOW42egusgV4MGav987T7s/C7dbQ/HTaDQpIali9vNw+1YhRL1FDj8cbn9Wk/1f2+59Qoh6w0IXhdtrl25iZxIEAZuGCzy4Y/xJP4/umsD29Grfms4k1gGAsFRPP1CSUm6rOXQzKlv/LOD/CSHeJqXcGybUfhJ4F+AA35hxyR+hJqKfBPxYCPE+KWU+FLZ/Al6M6or+aytfV5JZv6/AN2/ZiO0+WbQs0+A1pxzBW597VAyWaTRLI27P7D+BdeF2CillALwHNavgbGCrEOJ+VNb/N1BpFe+bWZtMSllBzbucAN4C7BJC3AfsBj4G2MCbpZQjdCkbh4sUbZeRos1ExZn6GSurn037i3GbqNE0RBJTMwCQUm4WQpyGqoxxLnAqKp3it6jijLfM0u4+IcRzgL8HXg08ByVu/wV8RUr5UDvsTyq7Jso4bsDy3gzLe7NTf3c8n735KrsmK/hBgGnEtpZrapm8/y7Gb/sD+IvryveeeDKHvfldGPozmZOWipmU8vh5jp8zz/FhVLmeRZXskVJuBT6wmDbdwvaxMrbn05/LHvD3jGngBwEVx2N/vsoRy+dK8dM0wuTqP1HZuonAcRbVzs2Pc/DLXkv24K4vwzcnifXMNM2nbHvsL1RxPJ+cdWCEwTAMcpaJ7fpsHy9rMWsyXqmIM7Ifv1ome+jhsEAvyx0fJbBtqjuGtJjNQ9wxM00b2TZWwvECLNPAMp/8MOUyJrbnMzTa9ZMjmk51x1Z8x8awMpi5HsxsbmE/uR58x6a6fSjul5B4tJh1EVtHS1TdJ3tlETnLpOr6bNVi1nQqO4YIbBsz17Oodkauh8CuUtFiNi9azLqILaMlbNenJ1P/Y+/JqG7m1tESnt/V8/CbTnX7EL5dxcguriqGmcvh2zb23l341er8DboYLWZdQhAEbB4uUvW8WcUsYxoEQMXx2DFernuOZvEEnkd1x1YCu4qxWM/MymCYJr5dpbpz2/wNuhgtZl3CSNFmvOzgesGs3UzDMOjJmFRcn83DOt+sWdh7duJX1JeDkVn8mNt0V3NLs01LFVrMuoSN+4sqXpYx58xX6gnjZhu1mDWNyvYtU13MRnLFoq5mVYvZnGgx6xI27C9QdWfvYkb0ZEyqrsfG/QW9FF2TqGzb3FAXM6LWMwsWmXDbTWgx6xLW7ytQcXx6M9ac5/VkTFwvYLzssCevA85LJQgCqtuUZ7bYkcwII5Ml8H38Ugl73+4mW5getJh1ASNFeypZdj7PbCpu5nis31eY81zN/Lijw7j5CQLPxWiwvr9hGCrfzK5S3bq5yRamBy1mXYDcl6cS5pctZM5lb8ai4vrIvfk2WJduVBfTxsz2LGlu5VRXc+tsqyhqtJh1AU/syVNxPHqzc3cxI3qz056Zr+NmS6KydRN+tfF4WUTkmVW2bdaxzFnQYpZy/CDgiX0FKq5H7zxdzIicZeIHAZMVh216NsCSqGxVwX9ziUvIGbkcgefhTk7gjsy1nGz3osUs5ewcLzNesvG8YN54WYRhGPRmLMqOzzrd1WwYd2IMZ3RYzclcomdmGAZmNkdgVynrrmZdtJilnLV78lQcn56staiYTW/WouJ4rN2jxaxRIq/MyOYwzKU/akbU1dRiVhctZinn8d2TlF2PvgV6ZRF9GZOK67FpuEjJdltkXbqpbN20pJSMmZg9oZgNbdJxszpoMUsxZUeJ0WKC/xEZy8QyDCqOxxN7dYpGI1SGNqp4WU9zxMzI5ggcB3diDHd8tCnXTBNazFLME3vzlB0PyzDIzjIfcy76shZlx+Px3ZMtsC7duPlJ7OF9TYmXRRimiZlTcbPK0MamXDNNaDFLMY/vnlRZ/4v0yiJU3Mxn7Z687tYsElUe28bIZJsSL4swcj34VR03q4cWs5QSBAFr9yjPrK9RMcuYOJ7PSLHKzvFKky1MN5WhjfjV5sXLIsxcL75d0Z5ZHbSYpZSdExVGijaO5y84v2wmhmFMeWeP79FdzcVQ2bqJwK5g9jR3LQUjp+JmztgozljXrphYFy1mKWXt7knKYeB/KdNoorjZYzputmDcwiT2vj1NjZdF6LjZ7GgxSymPhWK22JSMmdSmaJRtr0nWpZvKUGviZRE6blYfLWYpZDolo/Hgf8QBKRr7dALtQqgMbWhJvCzC7JmOm+mBmWm0mKUQGaZkmAYNpWTMRM8GWByVLRtbEi+LiPLNnLFRnW9WgxazFLJur5rC1Ogo5kxU3Mxn7e5J7QnMgzs50fT8spnouFl9tJilkHV78mGVjOaIWU+YojFctNmrq8/OSWWryvpvVbwswsj14ld1ikYtWsxSxnChyr58Fdv16c025+M1a6rPPqGraMxJZSiaj9maLmZENE+zvEXHzSK0mKUMGdYuy2UWVlV2ofRmw+qzupT2nJSbPB9zNqbnaY7ijg639F6dghazlLHQhUsWS2/omW3Q1WdnxZ0cxxneh2+3Ll4WoeJmPQQ6RWMKLWYpIggCJWZu41n/s1FbfXaXntpUl8rQpqbWL5uPqL5ZeYuOm4EWs1QxUrQZLdm4nlrst5kYhkGPZVF1fTYM665mPSpDG1W8rMVdzIip+mZbdX0z0GKWKjYOT69a3sx4WURPxqTi+mzar1c7r0d56yaCFibLzsTI5ghcHTeL0GKWIjYPF9Wq5U1IlK2HWu3cZ/OIFrOdamnKAAAgAElEQVSZuJMTKl7WwvyymRimObUugI6baTFLFVtGStju/Av9NkouzDcbLdqMl52W3KNTqWzbTOBUMbKtzS+bico302IGWsxSg+367JooY7cgXhZhGgY5y8T2fIa0d3YAan1Mu21dzIjp9TS3tPW+SUSLWUrYMa6EzMDAakG8LCJnmdiuz/bxcsvu0Ymo+mVLX+x3sUzVNxsdxp0Ya+u9k4YWs5SwY7yMHQb/l1K/bD5yloHt+Wwf02IW4ZWKOGH9snZ7ZoZpqoEA7Z1pMUsLO8MuZtZqnZABZDMmthewU3tmU1S3b1GBf8vCsJqbrLwQzFwO37apbNvc9nsnCS1mKWHXRAXHC8i1OPicNU1cz2e0ZFN2dLFGgMr2ITWFqc1eWYSR6yGwq1S1Z6ZJA3smKzie35T6ZXNhmQamYeD6AXsn9UwAgMq2LfgxxMsizFwPvmNj79uNX+3ez0SLWQoo2i6FqovrB2Ra3M0EyFoGjhewr6DLAQWui71rG4FtY+ZysdhgWBaGaeLbVao7tsZiQxLQYpYChgs2rh9gGUZLMv9nkgm7mvvydsvvlXTsvbumvSErE5sdRq6HwLGp7tRipulgRoo2rtcerwwgY6pu5mhJi1l15zYV/M/mWjqKPB9qJoBNRXtmmk5mtKQ8s0ybHiYrErOiFrPqru0EthKzODFyORU327W9ayedazFLAeNlB88PsMz2eWaeH+gpTYRi5sQXL4swMlkC18XNT+JNjsdqS1xoMUsBk2UHL2ifmFmmgRfWNutmfMfBGd6L7zjxe2amqQTNsbH37IzVlrjQYpYC8lUX3w/aEvwHNUfT9wPKjofr+W25ZxJx9u1Wi/0aBrRxcvlsGNksgeNQ7VIxa9rwixCiH/g0cB5wApAH1gBXSin/dxHXOR5YTPbfl6SUl9W0Pwe4ZZ42v5JSvmkR90g0Rdtrq2dmGhAAQaDuvaIv/gc5Duy9uwgcR1XKiDH4H2GG6wLYe3fFbUosNEXMhBADwM3ACwEHeAw4FHgV8CohxGVSyi8t8HIV4M55zjkKOD78fcOMY88Jt7uB2eZ3rF2gLR1B2fbwAyUy7cAIU0D8IAjFLNueGycMe/8efNfByCTj9RvZLH65hLNvT9ymxEKzPLNvo4TsIeBcKeV2ACHE+cA1wGVCiDullDfNdyEp5R7gxbMdF0IsAx4Md78rpbxuximRmH1LSvmNxb2MzqTiegRB0FbvwDTAD8B2u3dKk713N4HjYPb2xW0KoAYBfFdV0AgSJLLtYsn9AyHEScC7AR94VyRkAFLKHwJfD3cvW+q9Qq4CTkIJ5yV1jkdi9miT7pd4qq6vPLM23tMwDAICKm4Xx8xG9oeiEV+y7AGEcbvAdXBGR2I2pv004///fMACVksp63Xfrgq3Zwkhjl3KjYQQrwfeCbjA+6SU1RnHM8Azw93HlnKvTiEIAlwvIKC9npmBipm5fnfmNPmOjTcxRuC5iREzwzCmUjSc4b1xm9N2miFmZ4bbO+odlFLuBKK05Jc2ehMhRBb453D3X6SUD9U7DegBJqSU2xq9VycxpSVt1hQjHATo1tFMd2yEwPMwDBPDbH/Zn9kwMhmVbzY+GrcpbacZXymrwu1cRciHgOOApy3hPh8N248CX57lnKiL+bgQ4nmo7u+zAA94HPgPKWWqup9emO0doASmrQRt19DEoMTMhRjql82FYWUIPBdnTHczG+HwcLt/jnOid3ZlIzcIvbJPhbtXSiknZjk1ErNno9JCLgFeCbwG+DvgISHEVxqxIbHErCZdOnMGd2JceWYxTi6vh2FZBJ7XlSW0myFm/eF2rkJKUVnS/jnOmYvzgKcCk8C/znFeJGa9wFeBE1HdzpOBK1Ghns8LIT7doB3JI/70pq7EzU+A58VSWXYuDMsCz8WbnO37Pr0042vFY+Gi2Oj3+CfC7XeklHNNPPs1sAu4UUr5XzV/3whcIoQYBr4CXCqEuEZK2fErp0aLlxgQ9jXbeHOjfbltScPLTxD4HiQoXgZA6Jl5hcm4LWk7zRCzAnAwyhuajSgRp7TYi4epH88Pd6+d61wp5b/Nc7l/Aj4LDKISen+8WHuSRm2crJ09vqh72a4pVEnDKxYJPA8zm6xcLsO0CHwfr1Qk8P22ruEZN814pZF3c+gc50Sxsn0NXP/N4fYBKaVsoP0UYSpHlD5ywlKulRRMw8A0jXB0sb0BLANaXqY7qfilAvh+okYyAZVrFgTg+/iV7lp0phn/ievC7fFznBMdW9/A9d8YbhfkRQkh5vIQYfo1p6bkQ9YyMDDaGoyPZhxkurSf6VfKBIEfwxDy3BiGAYZB4Ptdtx5AM8TsnnB7Zr2DQoijgShZ9q7FXFgIkQPOCHfnnAolhHi2EGICKIdpGfXO6QVOCXdTMz8zZ5nKM2ujmPmoeFmrVk9POn61Ar6fiGoZMzEMEwLtmTXCL8LtOUIIUef4ReH2Vinl0CKv/WwghxoNfXyecyXqGQO4YJZzLkaNqA6jJsangmjh33Z2M4NAdTN7ulXMHBvaPB92wZgGQRAQOKnpfCyIJf8nSik3oLqAFnC9ECJKokUI8W7gM+Huk/K7hBAnCSGeLoQ4cpbLRx7WE1JKdx47qsA3w92LhRAfF0KY4X1MIcRHgMvD45+VUqbma6s3Y01N/G4HQRBMdTO7VcwC1w0VPYFihnLTA7e7xKxZGX8fB04Nf54QQjyKGuE8Ljz++VkqZtwcnvMf1Pemjgq3C52b8TVUN/I84FuoFIzNqJjdStSA32VSyqsXeL2OoDdrYhpG22q/B+GPaUBfNmEB8DYQhAF29W4nUMzCibOB110VTZrytSqlHEHFzL6ECvI/AzW6eSvwFinl1xq89GHhdkFFzaWUnpTyHcBfAb8P//wcVLD/58CLF1FXrWPoy1oYbfXMlENiGEZ3xsxqvzQSqGVTRnXZ9IymzcWQUhZRZX4uW0Sb4+c5/hHgIw3Y8gumY3mppzdrTRVLbAd+oEp092bMrs0zmyLRepFo45pOF36tpo/+bHtjZpGY9ee6r4sJJDROVkv4j2B01+PdXa82pfTl2u2ZRfGyZE2ybhfRAiZqJDOB3k9YQiVp80ZbjRazFNAfUzdzoFs9M5iexpTEuFQY1DQSNtWq1WgxSwH9uXZ3M5Vn1rXdTMDI5FSmfULFLKo6201oMUsB/W3vZirPrBvTMiLMnh6V/Z/AsuFqmpWJ2TPfzL50ocUsBfS1ewDA12Jm9vZNTRtKEkEQqG6maWL2ajHTdBh9WQvTbP8AQG+XixmmSeAnS8zw1eR3AzB7krEEXrvQYpYCerPh3Mx2zQCY6mZ277+P2devaoUlTMyiGmZmX78ezdR0Hr0ZCxPlMbVD0HxUqlU3e2ZW/0DomSVsylBYycPsH4jbkrajxSwFKM9M/d4O3yyaZN7bjVOZQqzBZaowY+I8Mw/DNLEGBuM2pe10739jishaJqo8Y3vSnqKYWVfOywwxB5ZN1dtPFL6HYVpYg8vitqTtdO9/Y4owDYOMZbQtbhatm9KtJbMBMstWYCSwmxl4PlgWmcHlcZvSdrr3vzFlZKbWAWg93V4yG8Batjxc1i1ZYoavlr+ztJhpOhXLDLuZbb5nt5JZtkJ1M30/UbMAAi/sZq44KG5T2o4Ws5RgtnMEADWa2c3lf8z+AQwro9IzEuSdBZ6rupnLVsRtStvRYpY2uldf2ophmmSWHwSmlai4WRCusm4t12Km6VDalf0fEQTtv2fSyCw/CCNBI5qB76tJ5qalhLbL0GKWEjw/mBplbDXRPbwETrJuJ9byFeEgwJxr7bSNyCsz+/oxcz1xm9N2tJilBMcL2rZYUJQC4na5mGWWH5SsXLNQzLrRKwMtZqnA8wPccFTNaINvZqCmNFWchDzEMRF5ZkkRs8D3wOzOeBloMUsFZcc7YPm3VmMaBr4fUHGSNZWn3ajEWQsSMgAwFfxf1n05ZqDFLBUUbXdqilE7VtiOaqcV7WTEiuIiSpxNimc21c3swrQM0GKWCiYr7lTBxHYQ1U6brHS5mA0uT1Ti7FQ3swuz/0GLWSqYrLh4ftC2jHzLNPD8gMmK05b7JRVrcHlYbTZIxsImvodhdWfFDNBilgpGizauH7RtrmTGMHD9gNFSd4uZmc1i9PSERRrj72oGnq89M01nM1qycX2/fZ6ZFYpZ0W7L/ZKM1T8YzgKIfzBkqpZZFxZmBC1mqWBfvorrB2TN9nycWdPE9X1GSzaOF/9DHCdJKZ89vZCJhdnfH6stcaHFLAXsmazgeAFZq00DAIbKNXM8n335alvumVTUwiZG/J5ZEED4uXTbQiYRWsw6nJLtqm6m55Npk2dmGAZZy8TxAnZNVNpyz6Ri9vZODwLEie9jGCZGNtt1C5lEaDHrcHaOK6/MMo221hfLWSa257NjvNy2eyYRM6tWNo97/cwgnMtmdOGczAgtZh3OtrEStue3vYR11jKxXZ9tY6W23jdpGNkstHGZv1mJxCyTjdeOGNFi1uFsHilRdX162ry4SI9lUvV8hkZLXV0KyDAt2lavfE5CMevSLiZoMetogiBgy0gR2/XpabtnpryRYtVl13gXx80sC9pesLwO4e3bMZ0tqWgx62BGijYjRZUe0e5l3wzDoMeyqLo+G4YLbb13ogiiKf6auNFi1sHIfQWqrkcuY8ZSj78na1Jxfdbv62Ixm0rJiNkjipaA6OIuvxazDmbdnjwVx6c3E0+cpDdjUnE8ntib79qqs4HnTeV4xYsBQUDgdu/kfy1mHYofBDyxN0/Z8ejLxvMx5iwTP4BC1WXLSDEWG+LGd2xVd9+I+VEyQjFzuneKmRazDmXzcJGJioMfKFGJA8Mw6MualG2Px3ZPxmJD3ATV6lSOV5wYoZj5drVru5pazDqUR3dNUraVVxbnCFZf1qLseDyyqzvFzCuXVNysTbMvZsU01ZQqz+ta70yLWQcSBAEP75yg5Hj0ZePNK+rLqBHNneNl9ua7L0XDLxfVVKK4xcwwwrCZj1fszgEZLWYdyM6JCrsnK9iuH7uYmaZBT0Z5Zw/tmIjVljjw8hNTFV7jxDAMlcDreXiF7vSStZh1IA9sH6dkK68sjpSMmfTnLEq2xwPbx+M2pa341Sp+pTK1kEjcROsRuJPd9TlEaDHrMIIgYM32MYq2S3/MXllEf9ai4ngMjZa6qqvpjo0oITPN+LuZAFZGidnYaNyWxEICPgHNYtg2Vmb3RAXb8+nLJUPMLNOgN2tRtj3u29o9XoEzNkzguWBl4jYFAMPKELgu7thI3KbEghazDuPeraMUbY/+TDK6mBH9WYui7XLfttGuSQ1w9u8lcB2MTELELJMhcB2c4X1xmxILWsw6CM8PuG/bOEXbY6AnGQ9QRH9OjWrunqiwZaQ7ygLZ+/cQOA5mNhlld4xslsB1sPft7povlFq0mHUQa/dMMlq08f2A3jZPLJ8P0zDoz1kUbY+7h7ojZmPv2Rl6ZgkRs0yWwPPwSkW8LhwESNYToZmT1VtGKVRdBnJWIku9DOQyFKou928bw075Qid+tYozvA/fcTCyubjNAcL0jGyWwLGp7twWtzltp2l9FSFEP/Bp4DzgBCAPrAGulFL+bwPXOx7YMs9pD0spn1un7bOALwAvAw4CdgO/Ab4qpdy5WFuSQL7i8sjOCYq2xxHLklkaOfIWx8sOD+2Y4IzjDo7ZotZR3bUN37HVSGYC0jIizGyOwFZiNnDKc+I2p600xTMTQgwAfwQuBU4EHgeKwKuA3wghLm3gstEnMQrcOcvPg3VsORu4D3g76vU9ChwKfBh4VAjxJPHrBO7dOkrBdsmYRmxzMefDMAwGchmKVY+7tqR7RK2ybTOBXU1czX0j14NvV6ls2xy3KW2nWZ7Zt4EXAg8B50optwMIIc4HrgEuE0LcKaW8aRHXjMTs51LKDy+kgRDiEOBXQC/wDeALUkpXCLEM+AHwFuC/hBDPkFJ2zAS2IAi4c8soharHYMIC/zMZzFnsyld4Yk+e/YUqhw0m62FvFpWtm/CrVcye3rhNOQAz14M3MUZ15zZ8u4qZMLFtJUv+ihdCnAS8G/CBd0VCBiCl/CHw9XD3skVeOhKzRxfR5uPAwcDdUsrPSind0I488E5gM8pzfM8ibYmVzSNFdoyVqLgeAwnJLZuNjGXSa6mBgLs2p9M78x2H6rYtifTMsCwwTfxqhcrW7vLOmtFfOR+wgNVSyrV1jl8Vbs8SQhy7iOtGYvbYItpcEG6vnnkg9MSuCXffsYhrxs4dm0YoVD0GsplE5ZbNxmCPRaHqcteW0VQWbaxs3YRXKYerISXLUzYMA7Onl6BapbzpibjNaSvNELMzw+0d9Q6GAfet4e5LF3JBIcQgyoOCBXpmQogjgePmsgUVZwMlrMkYT5+Hou1y/7ZxCrbLYE+yvbKIvqyF5wcMF20e2ZW+yeflDWsJKmXMnt5EjiobPb341TKl9Wu7Kt+sGV8rq8LtpjnOGUIJzdMWeM1nowoR7wIOE0J8EjgNZe964CdSyjtntInsCJh9FHQo3PYAx85jcyK4e8so+aqDZSQ38D8TwzAY7FFpGrdtHOa0ow+K26SmEQQBJfk4fqWCtWx53ObUxezpxR0fwRnehzO8l9xhT4nbpLbQjKfj8HC7f45zouDJygVeM+piHgysBf4/4LXAK4GPAncIIa6e4V1FdkxKKavz2LEYW2IjCAJu3zRCPgz8J9ELmI3BnJretG5PPlWTz+09O3FG9+O7TvLiZSGGaWLmQu9s3WJCzp1NM8SsP9zO9R9bnnHufERi1gv8O/BMlDd1HCp/zAHeD3yrQTsWY0tsyH0Fdk6UsTsg8D+TjGXSm7Eo2C63b0rPQEDx8Yfwoy5mEiplzILZ14dfLlNc+3DcprSNZnQzPRYuigvtwN8eXvNBKeV3a/6+DfiqEGII+BFwkRDi21LKx0M7FkPigwm3bRwOM/47I/A/k2U9GcbKNqu3jHDus45s+9qezSYIAiVm5RLmwLK4zZkTs7cPd2Kc6u7t2MN7ya08Im6TWk4z/ruiGr1zJdz0hdsFzUCWUl4npbxwhpAdcBzYgIqrvbEBOxZsS1yMlWwe2jHREblls9GbMQkCGC053LdtLG5zlkx1x9DUFKak5ZfNxDAtzJ4e5Z09siZuc9pCM8RsONweOsc5UXyqmbVJouz/E2bYsWyOkcraOFmi66TcvmmEgu2Sszon8D8TwzBY1pOhUHH504bhjh9ZKzx8H165iNnbl+guZoTZN4BfLlJ4ZI1a7CTlNOMTWRduj5/jnOjY+oVeVAiRFULMFSiKbHdm2GGiRirnsqMCbJ/lnNhxPJ87No+Qr7gd65VFDOQylB2PraPFji4N5Ds2hUcfxC8VsfoH4jZnQZi9ffiOgzOyj8rQxrjNaTnNELN7wu2Z9Q4KIY5mWlzumu9iQoiDhRCjgM10F7Iep4XbtQBSyjFU13NWW4A/i2yWUi42xtY2Htg+zkihihcEiSmN3SiWaYTVNDxu2TDXgHeyKa59GC8/ARiJHcWciWEYWH0DeKUi+QfujtucltMMMftFuD1HCCHqHL8o3N4qpRya72KhKO0Jdy+od44Q4q3ASSjBu77m0M/D7YV12uRQI6AA185nR5z8acMw+arLslxnpWPMxrKeDPmqywPbxxkvO/M3SCD5++/CKxUx+wc66jMx+wfwS0UlxoV83Oa0lCWLmZRyA/Bj1JSm64UQUfIqQoh3A58Jd78ys60Q4iQhxNPD7P1aLg+3bxBCXC6E6Klp81bUpHGAf5BS7qpp9y/AOHC2EOJfQgEjnGh+HWpWwebw90SyebjIpuECZadzA/8zyWVMspZBvupy+6bh+RskjOqenVS2bsavlDumixlh5nJgZZR39tC9cZvTUpoVxfw4atrRKcATQogHw/SJH6LSPz4/S8WMm1Gxrstr/xhOUP+ncPezwH4hxBohxA6UJzgIfB9Vcqi23T7UXFEb+BiwWwhxH7ATeCtK6M6VUibWPbhlw34KVY/+bAbL7BwPYD6W92TIV1xu3ziM02GFG/P33oFfKqrcsgTVLlso1sAgfrFA/v471RqfKaUpYialHEHFqb6ECvI/AzW6eSvwFinl1xq45qdQGf+/QiW7PhvIAr8GXi+l/KCU8klPhZTy18DpwM9QgwPPRaVt/Afw/DAnLZGMlWwe2D6uupgp8coi+rIWfqDma97fQWkaXrlE4dE1eKUCVsJzy2bD7OtXawMM76P0xGLqNnQWTXtipJRFVJmfyxbR5vh5jt8ELKYGWtTuUVTF247itk0j5KsuWcvo+ATTmUTzNfMVlz+uH+ZFxx/SEbGn/JrVePlJME2MXDLKYy8WwzBU7KxYYPLe21NbgTZdT0wHY7s+t28cZrLisjxlXlnEYC5D2VVpGhv2F+M2Z14C12Xy3tvxinmsgWUdIb6zYQ0M4pVLlDdvoLorsVlJS0KLWUK4Z+soIyWbIAjo6/B0jNmwTIPBnBrZvFkmOmcZUPMwnZH9BK6H2Zf4qbxzYlgZzN4+vFKBidW3xm1OS9BilgD8IOCW9fvJV1SsrJM9gPlYFpYGenjXRKKraQRBwMRdt+AV8pgDg6n4TKzBZfjFAsXHHsAZT99ygFrMEsC6PXm2j5epuulJx5iNrGXSk7GmpjgllfImqVZgqlawBgbjNqcpmNkcRjaLV8wzeXf6vDMtZgngJrmPyYrLYIdWx1gsy8Mk2rs2j1C03bjNqcvEHTfjFfJY/QMdMQ9zoVgDy/EKeTWwUUp+3HIxpOdT6lB2jJVZuydPyU5fOsZs9GRMTMNgvOxwRwJrnVV2bKW8eT1euYQ12JnpGLNh9PSAaeLmJ5m89/a4zWkqWsxi5ub1+yhUXXozFpkOrY6xWKJqGvmq6mq6CUuinbjjJrxiXlXHsNL1BWMYBtbgcrzCJJP33I5fna0oc+fRHU9PQhkvO9y7dYx8xWV5b7oemvkYyFm4XsC+fIU128fjNmcKe98eiusexSsWsAaTWeN/qZi9fRAEuOOjqZqArsUsRm7dqCaUZyyDnkw60zFmwzAMlvVmmKy43CT3J6bW2cSdN+MXC5g9vZjZjljAa9EYhoE1sAyvMMnE6j8RuImd3bcotJjFRNX1Up8kOx+DuQyVMIlW7ivM36DFOGMjFB5Zo5JkU+qVRZj9AwSehzO8l0JKKtFqMYuJe4bGUp8kOx9RrbPJissf18df62zirj/hFfMY2ZyqNpFipr2zPON3/jEVlWi1mMWAHwT8sUuSZOdjWU+Gou3yyM54k2i9Qp7Cg3erdIyUjWDOhtk/QODY2Ht3pWIVJy1mMbB2T56dE92RJDsfU0m0VZdb1seXRDtxz224+QkMy+qYSrJLxTBNzIFBvPwkE3fcnJi4ZaNoMYuBW9bv76ok2fmIkmhXD8WTROtXykzee0folS3vKk/ZGliGX61Q3bmV8iYZtzlLQotZm9k9WeGx3ZNdlSQ7H1ES7UTZ4e4t7Z8zOLlmNd6kqrFmJHwJuWZjmCZW/wBeIc/EHTfHbc6S0GLWZm7dMEyxy5Jk56O21tmfNgzjt7G7E7guk/fc1pVeWYQ1uCwsD7Se6s5tcZvTMPppaiMVx+PuoVHy1c5fQq7ZDOQsbC9g92SFtXvat/BG4bEHVJkfr/PL/DTKVHmgYoGJu26J25yG0WLWRu7dOsZE2cFArfatmcY0DAZzaiDgto3tGQgIgoDJ1bcqrywlZX4axRpchl8qUFz7EM5Y8ubLLgTtHrSROzaPUAi9skYfnPJk8utQ9S0/pKF2gz0Z9uQrPLZrgrGSzcH9rc31qmzZMFXmJ3NQYzanhenyQEUm772DQ18915K1yUSLWZvYNlZi62iJsuNxyBIe0msvfEUTrWoNH/7pgw21y1omOcukYHus3jLKXzzzKU227EAm7r5VzcFMWZmfRrEGluFOjpN/4G4OPuc1mD2dlaKiP8E2sXrLKIWqS3/WStUScs1mMKcq0a7eMtrSgQBndJjy+rV4pWJqii8ulWgk15scp/DI/TFbs3i0mLUB1/O5b+sYRdtlQAf+56QvZ+F4PnvzFTYNt654YP7+O/FKBcxcD0YmnRPKF4thGFj9g3jFApP33dFxSbT6yWoDa/fkGSs7+L4O/M+HaRj0ZzMUbI/7to5x8mHN95oC1yH/0H14xQKZ5Qc1dI2RYqnJVjWfQwcWPzpr9g/g5iewd++kun0Lvcee2ALLWoMWszbwwI5xSrZLf85a8ojZBf+3sxMbF0J/zmKs7PDQzgne/ryjm94tL657FHdiDIKg4STZF/zj95pqUyvYfNkli25jmCZWXz9eqUh+zWotZpppXM/nkZ0TlGyPlQNLH51rdKSwk+jNmHh+wFjJZsP+Ak8/orkTv/MP3oNfLGL2D3R1OsZsmP0DuGMjFNc+zKGv/UtVzLED0H2eFrNxuMhkxSUIIKcz/heEYRj0Zy1Ktsdjuyabem1nfJTK5vV4lRJW30BTr50WjGwODENVEnn8objNWTD66Woxj+2epOx49GWX3sXsJvqyJmXH47HdzRWz4qMP4JVLKq8qozsm9VADAQN45RLFRzuncKP+NFvMuj15Ko4u9bNYerMWw0WbPZMVRos2hzShiw5QfOxB/HJpyVOX7vvUh5piT1Ixe/tx83uoDG3CnRxveKCknegnrIUUqi67JspUXZ+VA91ZTbZRTMMgZ5lUXZ+NwwXOGFh6rNAe3kt1zw58u0rm4EOXdK1GRgo7CSOTwczm8Cplio8/zIozXxq3SfOiu5ktZPNwkarrkzENnSjbAD0Zk4rrsXF/c/LNSusexa+UVW6ZzvifF7O3D79covTEo3GbsiD0J9pCto2VsV2fnM4ta4hcxsT2AraNNSenqyQfU2LWIaNzcWP29uFXK1S2bsIrxb/gzHzop6yF7BwvY3u+HsVskJxl4rg+uyYqeP7SstG9UoHqjnDFSboAACAASURBVK341Spmb3cVYGwUI5PByGTw7WpHVKHVT1kL2Zuv4HgBWS1mDZExDfwgoOr6jJXsJV2rvGk9vl1VD2jKVilvJWZPL36lTHnjE3GbMi/6KWsRQRAwXLTx/ICMjpc1hGEYZEwD11fv5VKobN2IX61g5rRXthjMnl7lmW3ZmPi5mlrMWkTR9nA8Hy/QYrYULNPE833GS0tbdbsytInArnZcWZu4MbI5AsfBnRjDHU92LT0tZi2iaLt4AZgGOll2CVgmeD5LWrXJK5dwhvfhOzZGyhf3bTaGaSpBs6uJXx9Ai1mLqDg+vh/opeSWiGmouFnZ8Rq+hr17B77jYJgZDFPn+y0WM5dTiwXv0mLWlSx19E1zIN4S3s7q7h0Ejo2R1XXLGsHI5vAdh+runXGbMidazDSpxxneR+A6WswaxMhkCFwHZ//euE2ZEy1mLSJrGRgGJHwAKPEEARhAzmq8u+4M7yVwXV1RtkGMTJbAdfEKk/iVctzmzIoWsxbRl7Wm4j2axvGDANM06Ms2HutyJ8YJPBfD0vGyRjBME8M0CTxPFbVMKFrMWsSy3gxRRoav42cN4wUBlmGwrMGqI4Hn4eUnCDxPJ8suBcsi8FzcyfG4LZkVLWYtoidjsbw3ixUmfWoaw/UCMpbBysHG8sP8conA91V/VU8ubxjDtMD38YqtW2RmqehPt4WsHMyRtUwc34/blI7EDwL8MOl45WBj+WFepQSBD4ah8/2WgmkS+D5+ObkLuWgxayHHHNRPzjKxXS1mjWC7PlnL5NCBHAO5BruZtq0WLtFe2ZIwwtGswKnGbcqs6E+4hRx3SB+5jEnV02LWCFVPlU867pDGCyEGnqeHlJuCAQSqy55QtJi1kJMPG6QnozwzPaq5eCqOR2/GZNWS1s4MUO+87mIuiejtS/D/sRazFrJysIcjlvWQy5hUnOR+oyWRqPRPb9bilCUsNWdksmGsLLkPYUcQBICR6BHhplkmhOgHPg2cB5wA5IE1wJVSyv9t8JpnAJ8AzgaeApSBtcBPgKuklE+qCyOEOB7YMs+lH5ZSPrcRmxbLM49czqbhIiVHLQKsWRhlxyOXMTl8WQ+HL2u80oWRzaKzl5dOEAQYhpHoWRRN8cyEEAPAH4FLgROBx4Ei8CrgN0KISxu45ieA1cA7gZXAOqAAvAj4FnCbEGJ5nabPCbejwJ2z/Dy4WHsa5fRjD2IgZ1F2PN3VXAQl22MgZ3H6MQctaRTS6hsAQ43EJb0eV6LxfQzTxOxP7lqjzfLMvg28EHgIOFdKuR1ACHE+cA1wmRDiTinlTQu5mBDiLOAKVE/9H4AvSimr4bGXAT8K7/c94B0zmkdi9nMp5YeX9KqawAmHDnDYYA/DRZuy7TGgl5ybF88PKLsehwzkeP6xBy/pWmZfv8r8NwzwfdCzABoi8D0wTaz+pcQvW8uSPTMhxEnAuwEfeFckZABSyh8CXw93L1vEZT+FErL/kVJ+JhKy8Jq3AO8Nd88TQhwzo20kZolYUsY0DM468VAGezLkl1CTq5so2C79WYuTVg5w9EFLW3zEME2sZSswwgx2zeIJgiCc25ohs2JpXy6tpBndzPMBC1gtpVxb5/hV4fYsIcSxC7zmy8LtT2Y5fjMqJgdw+oxjkZg9tsB7tZyzTjyUZT0ZHE8FtTWzEwQBharLYE+Gl5y0sinXzB6yMqz8oMWsIcJ0DMO0lrzeaCtphpidGW7vqHdQSrkT2BruzruSqBDCBN4OXAjcPstptUGUqX6DEGIQFbODhHhmACv6srzguINZ3pthsrK08s9pp2h7WKbBYYM9PP/Y5qyinT30sLDyg37vGyFwHeWVHXQIZoIHAJoRwFkVbjfNcc4QcBzwtPkuJqX0gd/Oc9prgGi8/vGavz8bJXS7gMOEEJ8ETkO9zvXAT6SUd85nQyt41dMPZ/WWUXZVyjier1dsqkMQBExWHA7qz/EKcVjT3qPckUerAoOl5M4rTDKB42BmcuSOPDpuU+akGWJ2eLjdP8c5I+F2yf2G0Pv6Zrh7v5RyXc3hqIt5MCqFozba+0rgo0KIa4CLpJRt/Zp+6oo+nnf0QeQrLuNlh8ManDidZoq2h2EYrBzIcXaTupgAPU89BjObw3PGplIMNAvHd6qYuR56jjwqblPmpBlffdFck8oc50QV3RqflwIIIXLAzwEBeMDfzDglErNe4N+BZwI9KK/wC4ADvB+V2tF23nDqkazoy1Bxfapu4zXt04gfBIxXHA7qz/LaU45YUv2ymeSOOBKzvx8MQ3c1F0kQBATVKmaul97jTorbnDlphmfmsXBRbDjRRwjRB/wSeG34p0/X6TLeHtryoJTyuzV/3wZ8VQgxhErruEgI8W0p5eO0kaeu6OXMEw7l90/sZazkcMQyU3sJIZMVl6xlcuTyXl6yqnleGajAde+xJ+Hs3U1QrUBWr9C0UKJBE7O3l56jFjp+Fw/N8MwK4Xau1VWj8fWG6ocIIQ5HJeX+RfinL0spvznzPCnldVLKC2cI2QHHgQ2ouNobG7FlqZx76pGsHOjBR3WrNOD6PvmqwyH9Wf7yOU/9/9s78zjJqirPfyMiI3KJ3Fdqz9o4FFQVFFXUQrGjbEUhIiBiUVKy2Itid9s94uCGI4M43aOi9jj9oW0cl7FphEGEbjeUXkQaQRBQDoXIIpvUklW5R8Yyf9wbVUEQuUdmRLw6388nPy9fvHdPnPfivt+7y7n3zkh7Yt3yFYRqakkPjVWBMPJJDw0Srq6lZvHhZT/teDFyzS6/HavPNvuq/cNkjYvICuBBXOR/BvgLVZ30iIIcstH/i6dhY8o010Y556guWuui9AyOHPKrOGUyGfYMjFBfXcWKrgbWLihOD2Y+tYcf6VbnHhl2M2kYEyI9NEi4poY6OarUroxLMcQs2wDfPcY52WNPT8awiJwC/MynHwIuVtXPjZMmKiJjNbhkr7lkjSenLe+guy1ObTRCz+Ch3YYzOOJWfm+ti3HJ2vkzVu2ONrdSPW+hE7Sh8p1gsJzIJJNkkiOEa+uok5WldmdciiFmD/rtpkIHRWQ+kK1s/2yiRkXkZOBeoBnXG3qaqt4+xvktIrIHSDB2FXKN3xYK8J0VqiJhtq1bQHNdlMGR1LQWuK1kUmlXKmuti3Hmii7mNk0v2n886letJVwbL+vZUsuJ1GA/kdo6apccTlVDoWHQ5UUxxOyf/PYUEZECx//Ib+9X1ecmYlBEFgN34drafg9sVtUHxkqjqnuBV/3u5aPYvRBYihO8Oybiy0yxpD3OaYd30BqPsmcgcUgOQt87mKA2GqG7rY6zj+ya8e+Lr1pDpLaOTDJJeuRNE64YOWQyGdID/YRr66hfnT/IpjyZtpip6k7gW7iYrjtEJBtEi4hsAz7sdz+dn1ZElorIESIyJ+/QLUATLqRji6rqBN250W+3isiNInIgmMsL2T/43c+q6ssTtDljvG3VHBa01FFdFWbvwKFV3RxIJBlKpmmNR9m+fuGsBBFX1TdSt2IV4bq4BdCOQ2Z4CEIhqppbiR919PgJyoBiTeFwDbDK/z0lIo/jAlcX+ePXjTJjxo/9OV/Dl6ZEZB1wmj8+APxt4QLfAW7Izpemql8XkdXAXwLX4oJkdwJdQDbi7xbcVEUlpyYaYfv6hfzNfTt5ed8QA4kkdVOc676SSKbT7B4Yob0+xlkruljcNnvTyjSu20z/478k8fqrbgC6rQ1QkFRfL5F4Aw3HrC/7XswsRXlyVHW3iGzCzXZxMbAC18B+P3Czqk6mSpc7frMN2DzO+W+on6jqX4nI94H349rxVuPmNvsebkLHeybhy4yzvKOes1d0cdfjr/B6X4JYVZiqAD9gmUyG3f0J6qsjSGc9W446bFa/v2bxcqrnLSS5v4dUf19FtAXNNulEgkxyhEi8gcYNJ5banQkTsgnrJo+IPLls2bIj77mnOLqYTKX56/t28thL+0gk03TWVwc2mHbf0AgDiRQLWmq57gyhq3Gs8MSZoe/xh3nt218luWcX0c45VjrLY2TPLsLRKE2bT6Pj7e+ebPKSZVz7FcuAqkiYHRsX0dVQQwbYNxTMqWqGkyn2D7nq5SVr55dEyADiRx1D9WHzCMVipPr7xk9wCJFOJMgkhonUN9J0wumldmdSmJiVCV0NNVy6bgHt8Ri9w8nAhWuk0hle70/QWhdj0+I2NnW3lsyXUDhC80lnEGloIt3fW9bLp802qd59ROINxFevJdYxu00A08XErIxYv6iFk5a10xaPsbs/QTIgowMymQy7B1wYxuK2OJfOYHDsRImvOpbquQsIVdeQ6ttfUl/KhfTwkGsra2ik5eQzS+3OpDExKzMuPnY+yzvixKsj7OofDsQiHPuHkqTSGTrrq7ny+G5qijgjxlQJhcO0vvU8qhqaSPX3HfKz0GYyGZL7e4g0NNK4/gSibR2ldmnSmJiVGbFImCuP76arwbUnVfpwp8GRFPuHR+jw7WTTndO/mNQuO4K6w48kEq8nuX9vqd0pKdm4u6qWNppPOqPE3kwNE7MypKuhhvdsWEh7fTX9iRQDFboQSjKdZnd/grZ4NScubWfzkvKaPz4UCtF65vlUNTaTGRkhPTQ4fqIAkkmnSPXuo6qphdZTzyESL98VmMbCxKxMWTO/mTOO6KS9PsbugQQjqcpqpM5kMuzqTxCvjrC8o553ri3PKZdjnYfRtOlkqhqbSe7be0h2BqT27yNcU0vN/G4ajju+1O5MGROzMubtq+dy1JxGGmuivN5fWeM39w6OEALmNNZw9eZuYmW85kHzyWcR7ZpDKBo95DoD0sNDpIcGiTQ203buhYTCpW/PnCrlm8MMIuEQV27qZl5zLdFwiD0DiYroEOhPJBkYSdFeX82OjYvKfr2DcHU17ee8g6qmFlL9faQTh8Yg9Ew6TbJnL5GmZhrXn0DNgpJM8Vc0TMzKnKbaKFdt6qa9PsZwMk1fmc9Om0il2TOQoCMe45yjDmPV3KZSuzQh6mQl9avXuepmz56KeGlMl1TvPkLRKmKdc2k9fUup3Zk2JmYVwPLOei44eh4d9dX0DCbKdiHhdCbDrr5hmmqjrJ7XxNaVlRV02Xb2BUQ7ughFwqR6g13dTA8PkR4coKqplfatFxOuKZ9e5qliYlYhvEU6OG5RCy11MXb1D5fddNtu+usE0aowC5rr2LFxEeEKG18aidfTvuVCqppaSfX3kk4Ml9qlGcFVL/cQaWqmYe0m6pavKLVLRcHErEIIhUJsP24h3a111EQj7C6z9rO+RIpEMk17PMaVxy+isaYypo3JJ37k0dSvWU9Vk69uBrB3M7W/h1A0Ruyw+bSddX6p3SkaJmYVRG0swlXHd9NZX00qnaF3uDzizxLJND2DCdrrq3nHMfNY2l6ZcUpZ2s6+gFjXPEJVUVL7e0rtTlFJDQ6QHh6iqrmVjvMvJVxdmsH+M4GJWYWxoKWOi9bMo70+xr6hkZIvJpzOZHi9f5jm2hhrFzRz+uGVNwwmn0htHR3nX0pVcyvpocHABNNmUilS+/ZS1dxK8wmnU9td3ov6ThYTswrkxKVtbOxu9e1npY0/2zOQoLoqzIKWWrZvWFjyAeTFonbJcpo3n0ZVS5urblb48nSZTIZkz27CtXFqFi6h5dSzx09UYZiYVSChUIhL1y5gkV8/YE9/adrP+oaTDCfTtMVjXLFpEfGATfndctrZ1CxaSrguTrJnd1m1UU6W7FRH0dY2Oi68jFBVsH4rMDGrWGpjEXZsXERbPMZwKj3rq6MnU2n2DiZoj8c4d+Wcim8nK0SoKkrnOy4j2tpOJp0m3d9bapemRDqRINm7n2hLG61nX0CsfeZXwioFwZPnQ4gl7XHOWzWH23/5En/oG6amKkzVLAwbymQy7BpI0FAdZcVhjbOyTFypiLZ30nb2Bbx+5zdJvP4aEIJwZVWlU729VDU1E191LA3Hbiy1OzOGiVmFc8YRXTzxyn4GX0yzeyAxK+sH9A4nyWSgs6GayzcsrLh4sslSv2YDg88+Te8vfkaqAjsDwrV1xA6bT/vWdwamTbMQJmYVTiQc4j3rF/Hi3qd4Ye8gfYkUDdUz97OOpNLsGxqhq6HG96qW97jLYhAKhWg/9yJCsRjp/gpcbzMSpvnEtxKprSu1JzOKiVkA6Gyo5u2r5/KNX7zIa/uH6B2auQkdUxlorIly9Lwmjl9cunn8Z5twTS0d511SajeMMTAxCwgnL2/n0Zf2EQ7BTI90aqqp4t3rFgS6ymJUHiZmASEcCvGnJy7hxZ6BGRezzvpqmmorc7iSEVxMzAJErCocyBAJw5gIFmdmGEYgMDEzDCMQmJgZhhEITMwMwwgEJmaGYQQCEzPDMAKBiZlhGIHAxMwwjEBgYmYYRiAwMTMMIxCYmBmGEQhMzAzDCAQmZoZhBAITM8MwAoGJmWEYgcDEzDCMQGBiZhhGIDAxMwwjEJiYGYYRCEzMDMMIBCZmhmEEAhMzwzACgYmZYRiBoGjrZopIHfBfgEuAxUAv8DDweVX95ynaXAh8HDgL6AReB34M3Kiqvxkj3Urgo8CpQDPwCnAvcIOqvjQVXwzDKG+KUjITkThwH/AJYAnwJNAPnAHcKyKfmIJNAR4BrgDqgceAGuAy4BEROXOUdCcCDwHvxF3f40Ab8MfA4yJyzGR9MQyj/ClWNfPLwAbgUWCpqh6rqouA7UAS+KSIvGWixkSkCvgeToS+DsxR1eOAOcCXcKL2bRFpy0vXCtzlj9/k060D5gLfAVqA74hIbDoXaxhG+TFtMRORpcA2IA28W1VfzB5T1a8Dn/G7n5yE2W3AMuAF4EpVHfT2EsA1wL/hqo9/npfuGpxg/VxVr1XVpE/XC1wKPIsrOW6fhC+GYVQAxSiZXQZEgAdU9dcFjn/Fbzf7NrCJcLnfft0L2AFUNQP8b7/7rlHS/X2+QW/nq6OkMwyjwimGmG3y238vdNA3uD/vd08ez5iIhIH1Y9kE/sNvl4jIAp9uDrBoguk2i0h0PF8Mw6gciiFmy/z2t2Oc85zfHj4Be/OA2nFsvgik8mxm/cgAvxvHj2pgoqVEwzAqgGKIWaffvj7GObv9tn0S9ka1qaopYF+ezWy6/ao6PI4fE/XFMIwKoRhiVue3Q2OcM5h37kTsTdbmZPyYqC+GYVQIxRCz1PinHCBTZHu5NqeazjCMAFAMMevz25oxzsm2gQ1Mwt5kbU7Gj4n6YhhGhVAMMdvlt21jnJNtn/rDJOyNatMH1Tbl2cymaxijpzK3nWwivhiGUSEUY2zmb4DlQPcY52SPPT2eMVV9WUT24cSqm8I9mgtwsW25NrNjNcO4nspC6bJ+DOF6RKfKghdeeIEtW7ZMw4RhBI9nnnnmu6p6Xim+uxhi9iBwHgfjzd6AiMznYBjEzyZo8z+Bt3qbPy5w/Hi/fV5VXwZQ1b0ishMnrJsoLGbZdA/6HtGpMpBIJHjmmWemI4iGYRSRYojZPwE3AKeIiKiq5h3/I7+9X1Wfm6DN23BitkNEPps/CiDH5q0F0l0HXA18I/eAH4/53lHSTQpVPWw66Q3DKD7TbjNT1Z3At3DVvjtEJBu8iohsAz7sdz+dn1ZElorIET56P5dv4EpWS4BviUiDPz8mIjcDJ+DizL6Yl+5moAc4UURuzg4o9+m/6e096/83DCNAhDKZ6Uco+NkrfgKswoVIPI4b8J0dXnSdqv73Aume8+d8TVUvzzt2HPBDXNtZH/AUToxagQRwlqr+pIDNc3EzZMSAPTjxEqABJ3QnqOqT07lewzDKj6JMAaSqu3HtVNfjGuRX4Hoi7wfeUUjIJmDzIeBo3KDxHv9/GidUGwoJmU/3PWAd8I/ACHAMTgy/Bqw1ITOMYFKUkplhGEapsTUADMMIBCZmhmEEAhMzwzACgYmZYRiBwMTMMIxAYGJmGEYgMDEzDCMQmJgZhhEITMwMwwgEJmaGYQSCYkwBdEggIt2MvoRdBtiLW4H9n4HPqepYq1WVJSJyOfAPwEuqOj/n85/i1jy9QVU/WhrvxkZEVgNXAqfjliuswa3u9QRwD/D3qjo4Rvr5uJW99ud8divwHuCbqrpt5ryfGiJyCm6CB4CoqiaLZHcF8JRfcHtGKeY9tpLZ1HgCt6Bw9u8/cdN2rwQ+AvxaRFaVzr1DCxG5Hvgl8AFgPm6mlEdxExOchZsqSkXk2AJpYyLyKdwECZ35xw8lRKRRRL4E/IqDMzlXDFYymxofUNWf5n/op0L6GrAFuF1EVqhqeradmwG245bm2zXeibONiOwAPg70A5cDd+bOIuxLGV8FNgLfF5Ej80rNc4GPjWL+I8BnOLhGa9A5FvjTUjsxVUzMioiq7haR9wAv4VZaPwP4l9J6NX1U9YVS+zAG1/ntX6rq7fkHVfU3InIerjTdCVzD6OKVn/YV4JViOWrMLFbNLDJ+brcn/O7KUvoSdESkBVjqdx8c7TxfEvt/fnfDTPtllAYrmc0M2aXuevMP+GXy3gVcjCvWtwFJ4GXgPuB/quqbVrESkTNxVYCNuFl89+FE8zbglgLrJCAijcAHgQuAZbiX17PAHbhOip6JXEyhDoCcDpHXgDm49RWuBo70yZ4A/g64tVBDcpF8G8n5/1xcu9lofAL4gvc3/7qy7BQRgFNV9aejNU6LSPZ6osCFuNLeKtzv+BDwCVV9QETiwH8F3olbUawH+D5wbXYhHm+vm4OdS8tV9Zl853NmZd6hqreOcZ3Z8yeVz3LsZxnx92Jx7todInKSv97N3uZe4AHgZlW9bxRfaoD34e7lcmAY+BETLCFPFCuZFRkRWYorkaXJq2KKSC3wA+D/4B6+BG6K8T24H/l9wCMisiYv3TXe1lbcA/woTihPBr6MawuK5KU5AngM+BTuQXsZ2AkcgWtjetSfM11CuHbCW3BV66dxD81GXFvVjfkJiuWbqvbhOmAArheRW0XkpPx74c99VVV/7UvOWR4HfpGz/7C3N9E2ss8B/xcnxs8A1biFeH4iIqfiSosfwT1nO3HV3MuAfxWRugl+x6SZYj57iIM1CjjYuTWUY/cz+Nmjcdf6K1w+fxvwY38835dm3AprnwfW4Hr8XwYuwt3votVeTMyKgIhERKRNRLYC9+Lu642q+nzeqR8GTsU1pK9X1cWqepyqLgTW49pnsm/zrO1m4Ca/+y5VnefTLAbOBAaBU3CZI5smDtyNWyf0LmChqoqqHoMrIdyDewt/12f86dAJXIorZbWr6lpcSS27OtaHRKRjBn37AG5a9BDuzX8/sEdE7hGRa0Vkg4gUzOeq+gFy7htwiaqeoKpjlfByeT9wLTBXVdfgxPxl3IP+I1ynyQZVXaKqK3FtqClc1fiiwiaLwqTzmapehLuXWU7x9+JVABF5n7fbA2xT1VZVXYfrQLkE1wHzYRG5Is+X/4Fb4vH3wLGqepSqrsZNrf8CsLZYF21iNjV+IiKZ7B+uJLIL+C4uQ99E4SL0W3Bvsuv9GgcH8Pv/y+/mhnUILmZqL25dg9w0P8CVfG7HvX2zXIkrLTyCW4Ph5Zw0r+IepOdxb+nLJ3zVo/O3qnpzthdRVYeAP8PF31XhHqAZ8c0Lzwbg33M+bgTOwd2bnwOviMinZ6A09C+qelM2vktVf48rpYJ7tq7I/Z1V9YfAv/ndN4WJFJGp5LNR8aucXe9336uqB1Y3U9WMqv4j8Ff+o+t9FRcROYyDyztuy31J+Cru23hjU8G0MDGbGvlxZj8HnsS1BQD8BXBzfnVHVU/ACdNXRrE74Le5D93vcGLZAtwqIkfn2fxvqnqRqt6R8/Hb/fbbhRY79sGj2Z6/raNd5CS4u8B37MYFrQI0z6Rvvvp4Iq4acz1usench6QT1+v5Kx8cWyzuKfDZc347gCsl5pMV78Yi+vEGppjPxuJ4oAvXtHHXKOd8Eyeg8zgo1OfgNOY5VX3TvVDV3+JWYCsK1gEwNUaLM4vhShNfwlVBIsCf5J6jqiMi0iIiG3GluCV+uwaXYSDnJaOqfxCRm3AP43Zgu4i8imuH+AFwr6rmx39l2yGuEpG3jXIN2YWMi9Fu9tIon2cj7nPz2Yz5pqqP4toTP+lLYZtxVfHLcIK2FLdo9abJ2B2DQivaZ0vIu0eJMcyKbKhIPhRksvlsHLK/WQzX3jfaeSlv8whcIHn2xCdGS4D7vc6ZoB9jYmJWRHyP4t/5RY0/CVwtIjeq6otwYDHiLwDbONjjCe4BeATXG3dWAbsfFZGHcQJ5Eu5hf7f/S4rIt4H3q2q24brJb5f7v7FoHuf4RHhTT2oeuQ/urPimqgO4t/4PReRjuM6IS4CNInKsqj4yVds59I9xrGTB0lPNZ2OQ/c2qcS+I8cj+bi1+2zfGuXsn4ceYmJjNDHfhxCyCexO+mPP5qbgSyxc5WD3d6d+kVzFKJlPVO4E7fUjDybhG/3Nwb8FtuAx3nj+93+9v9euIlhNF801EvoIbi3mrqt4w2nmqOigiV+PCQGK4EkMxxGwmGK3EFp+EjSnns1HIivbDvtF/omR7jseqUk+3A+oAJmYzQ+5bOQTgi/un+s+2aOFFjN/UnuN79JYDIVV9zA+Evtv/fUhErsU1dG8VkSZfOlNco/tRQEHBEJHlOFF5Xmd3UHwxfavFdSacD4wqZgCq2isifUArB9vyyoXcAeLV+Qd9HphQKXWq+Wwc1G8PF5GqQgPaRSSEe8H+Hve7JXLSHS0ioULxhrh8UBSsA2Bm2OK3GVwsDcDinOMPk4dv43mX3819yVyNi8n6hs8w+eQ2oGY7HLIN8lcWCm/wvU134WKL/nr0y5gRiulbNvxjnbgZP0ZFRM7ACdkeXEkly5tePCVgNy6vQOF2wq1MvOAx1XwGo9+Lf8XF3jUAO0b53ktxwbhP4UJswPXuj+A6Bc7LT+B7O88dxd6kMTErIiISEpELODhe8HbfXQ/uR87ycRGJ5qQ7Ejd1ULYNMHX6vwAAAtlJREFUKbeX6TZcW8dK4HM+Tiubrp2DJZIHVXWP///LuFiiZbh4rYU5aTq8zRXe7myLWdF886EO3/G7t4jI5300/QFEpEbcYPTb/EfX+WDbLLn/50bAzxq+Bzdb7b1eROZmj3kR/vIkzE01n8Eo90JV+zkY/PwFEdmRG7vnO3KyPae3+V5KfH7M/oZfFZHTc9IsxL20JlN9HhOrZk6NL4pIfpR4FBcImp1G5mHgj7MHVfWXInIbbnjJh4DLReR3uCEh2bfpD3ER5A0i0qiq+1X1FRF5L64U8kHgChH5Le63W4rrgt8FXJHzXXvFDa6+Gxdz9DsR+TXuzSu4qkwSF4T7eDFuyESZAd8uxQ2b2o67Px8UkRdww5ayVfRqnDh+RFXfEK6gqntE5Hncw3uniDwFfExVZ3uCgI/i7smRwLP+nrR6vx7ChQCN1vt7gKnmM//507j2sTjwoIg8i4uV+xXwWVx+uwrXmfJZb3ceLnAWXKxfftDs9bjf9QLgRyKyEyeaq3C9n/dSpN5MK5lNjZW4Xp3cv9W4OLPv4YriG/OGzoB78K7GZc4wcDTuQbsbOFdVz8BFRUNOjJUPUjwFF3/Vg8vwi3BDZG4EVqjqk7lfpKq/8H5+CjfspBtX4nkNN8xlbV5s2qxRTN9UNaGql+Pa4f4GV8KpBo7BtQ0pLgp9taq+abiN50Lc+MIILnxh2VSuazp48TwBNyC+D/cbD+KGd53I2D2C+Uw1n/Xh7sVjOEFbghdAHxx7NS7U5U7cC2cNrur5c9x4zdN9L3LudQ3jAqF34O5xl7f7I9xz88AkrmtMQpnMjE8maRiGMeNYycwwjEBgYmYYRiAwMTMMIxCYmBmGEQhMzAzDCAQmZoZhBAITM8MwAoGJmWEYgcDEzDCMQGBiZhhGIDAxMwwjEJiYGYYRCEzMDMMIBCZmhmEEAhMzwzACgYmZYRiBwMTMMIxAYGJmGEYg+P83pss4eboSuAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for key, data in stuff.items():\n",
    "    baseline = data['base']['specificity'].to_numpy()\n",
    "    stimulated = data['stim']['specificity'].to_numpy()\n",
    "    plt.figure()\n",
    "    violinplot(baseline, stimulated)\n",
    "    plt.title(\"Spatial specificity\")\n",
    "    plt.ylabel(\"\")\n",
    "    plt.ylim(-0.02, 1.25)\n",
    "    plt.savefig(output_path / \"figures\" / f\"specificity{key}.svg\", bbox_inches=\"tight\")\n",
    "    plt.savefig(output_path / \"figures\" / f\"specificity{key}.png\", dpi=600, bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "U-test: U value 5392.0 p value 0.756508134572621\n",
      "U-test: U value 1132.0 p value 0.7478826789327293\n",
      "U-test: U value 816.0 p value 0.9742681632988652\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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55pqFfd/3vvdRLpd5xStewc0338wNN9zAV7/6Vb7+9a9z4YUXcuTIET7ykY908d0IWSKiJwwM7373u3nyk5+88PjMM8/kqquuAuD++++nVCot/BvghS98IcVicWH/888/n7e97W08/elP59xzz+2g5UInEdETBoJcLsdTn/rUk56/6KKLFv49Pz8PwAUXXADAe97zHm699VaCIFjY5xnPeAbXXXcdr3vd6zK2WOgWInrCQLBt2zZGR0dPen5kZGTh32EYAvCWt7yFfD7PXXfdxZVXXskTnvAEXvva1/LJT36SsbGxTpksdAkRPWEgKBQKa+5jjAHgqU99Kl/84hd53vOex6ZNmyiXy9x44428733v4znPeQ4vfelL2bVrV9YmC11CsrfCUHLJJZfwwQ9+kCAIuOuuu7jtttu45ZZb+PGPf8wdd9zBlVdeyTe+8Q02btzYbVOFNiOenjBURFHE+Pg4P/rRjwDrIV522WX8wR/8AZ/97Gf57Gc/i+M4HDt2jFtuuaXL1gpZIJ6eMFTs3LmT5z//+eRyOW688UYe8IAHLHn9MY95DJs2bWJ+fp44jrtkpZAl4ukJQ8XDHvYwHvrQhxJFEX/8x3/M4cOHF17zfZ9rrrmG+fl5Nm7cyGWXXdZFS4WsEE9PGDquueYaXvKSl/C///u/POtZz+K8885jw4YN7N+/n9nZWXK5HH/xF3/Baaed1m1ThQwQ0ROGju3bt3PDDTfw8Y9/nFtvvZWDBw9ijOHMM8/k2c9+Nq985Su5+OKLu22mkBFOmsYXskEp9bPt27c//Ctf+Uq3TRGEXsLp1oUlpicIwlAhoicIwlAhoicIwlAhoicIwlAhoicIwlAhoicIwlAhoicIwlAhoicIwlAhMzKEdVMul/F9v9tmDD3FYlFaXrWAiJ6wLn7/93+f6667DpnB030cx+H1r3891157bbdN6UtkGlrGDMI0tHK5zObNm0XwegjHcRa6wfQpMg1N6F183xfB6zGMMRJqaBIZ3goNMzY2xrZt27ptxtAxMzPDhRde2G0z+h4RPaFhtm3bximnnNJtMwShKWR4KwjCUCGiJwjCUCGiJ6xJsVjEde2fSi6Xo1gsdtmi4US+h/YgoiesycaNG3nDG95ALpfjqquu6ucyib5Gvof2IHV6GTMIdXqCkAFSpycIgtAJRPQEQRgqRPQEQRgqpDhZEHocEwbM3PI9ovnZJc87xRG2PvGp5Lds7Y5hfYqIniD0OOVd93P8G18iqpSWPO8WR8B1Oe0Zz+2SZf2JDG8Foccxvo+JAuJKGZv0dDC+R+z7mECaDjSKeHqC0Cc4+Tz5rbbRQzgrpWbNIp6eIPQ6zsL/VnpRaAARPUHodZzkNl3u3DnguHILN4p8YoLQ4zhOHW9OZlI1jYieIPQ6rpuMYpcKnYMDuVxXTOpnBiaRoZS6GHg78GzggcBx4IfAh7XW31zhmNOBPwWeD5wHnABuBv6v1vqHnbBbENbCDmGdk507BxxH/JZGGYhPTCn1HOAu4FXA6cC9QIQVs28opT5Q55izgNuAPwLOAn6K/Sn9NeAHSqlXdcZ6QViDhbhdjeqlCigxvYbp+09MKXUG8G/ABuDfgXO01j+ntT4XeBlW/N6slHrhskM/B1wEfBM4T2t9GXAO1lvMAdcppS7p0NsQhBVxcnlwnDqJDAdHhrcN0/eiB7waOBUYA67UWs+kL2it/xX4WPLw9enzSqkrgKcB88BLtdYnkv1jrfX7gc8ABeBdHbBfEFbHTYVtUfVsSzgRvWYYBNHbi/X0rtVae3Ve/2myvaDmuSuT7X9prSfrHHNdsn2BUmpDW6wUhCZxcu7Jnp4xNqaXG5iwfMfo+09Ma/057FB1JS5Ltjtrnrs82f5ghWP+FwiBTcnx32/Fxn4kjGJ2T5YI4/qlEQ7w4NM3saEonkbWOPlCUrayRPVAsrdN0feitxJKqVOANwKvxArY+5PnXeAhyW676x2rtQ6UUgew3uFDGULR+8q9R/jvew4RrSR6jsOjztnKG6/Y3mHLhg87hHWW1uYZ+x2Ip9c4A/eJJQmLPwe2AyPABPB7Wuubkl1OZfF9H1vlVFNY0TsjI1N7moPTFWYqAV4Y4y4rjjXYmNLBmWp3jBsy0kTGkqUdjLGJjPzA3cKZMwgxveU8AXgEVvDAitwvK6W2JI9rV1NZ7a6t1Nl/aJjzQqLYcOqGImdvHV3y35mbR4iNYd4LiWVmQOY4hUIS01s2vBXRa4pBFL2/BzZjy0+uxIrX64HvKKXy2BKWRhjKu3quGhIZyNX5C8k5EBuIjKHsN/pxCo3i5PMLfQVSby/dyvC2cQbuE9Na70/+WQI+pZT6IfATbELi5cD1NbuPrnKqNGtbbruRfcCcFxLH5qShLdhYkus4xLFhzgvZPDJwf0Y9hZMr2ClnsDCsXRjeFgrdNa4PGURPbwlaa82i0F2Brc1LS1tOX+XQNJZ3NBvLehc/ivHCiMgYcm791kU5ByID89Www9YNH04hKU6unX9rjCQymqTvRU8pdZpS6nHJzIyVGE+2D9Rax4BOHl+4wjkL2OExwI62GNpHzFdDYpP26K2P61pPb94X0csax81Zr642gyueXtP0vegBPwJux867XYm0MPlAsr0t2V5eZ1+wyZA8NtFxZ6sG9hvzvk1QuI5Tv60RkHMcImOYE0+vIyxPZphE9NxCscuW9R+DIHrfSLavTjy0JSilLsQ2EQD4crL9fLL9DaXUaXXO+XvJ9nNa60qd1wea+SRzu9LQFliI6ZXE0+sIbr6wrGxFsrfNMgii9wFshvZi4F9rh7lKqccAX8cmJW4C/it56dvYFlLbgP9MOq6glHKVUm/FNioISAqah42SFxEbWEXzcF2bwS15kr3tBIueXuLlGWR42yR9L3pa6z3Ai7BZ1t8A9iul7lJKaeDH2BkVPwReqLU2yTEG+G1gP/AUYFwpdTt2+Pt+7J/UK7XW93X6/fQCtcPblUiHtxLT6wxOPhW9eGGI6+Dg5ET0GqXvRQ9Aa/3fwKOBjwKHgEuwPfJ+gK3Re+ryxgKJWD4G+BBW7C7FlrD8D/BMrfVnO/YGeoySFxGvZ3grdXodY2H+rTGkQ1vr6cnwtlEG5hPTWu8CXtfgMZPAm5L/hITSgqe38j6ug43peeLpdYKF4S3YchUA17WZXaEhBsLTE9pLJYiIDKsOb62nByXx9DqCrcdzlsbzJInRFCJ6wkmU/WjNmJ7rJsPbQESvE9SWrCyUq+QlntcMInrCSVjRWyN765DE9MKl3T+ETFhsGW8Wp6KJ6DWFiJ5wEuUgWnHebUo6vI1iQxCJ6GWNk8+flMiQ4W1ziOgJJ1ENIkwyt3Ml0leMQYa4HWBxjq1JEhmyPkaziOgJJ1EJ1h7eLnRaMYaqiF7mOLlcMiMDWR+jRUT0hCXExuAF8ZqJDEjjelYkhYypjemBLP/YAiJ6whKqQYTBYFjd0wMb1zPGUA3ijtg2zDg5FxtUMAvLPyI1ek0hoicswQvjhbZSa+Eknl41FE8va2x7KRb7eDvguHL7NoN8asISKkG8kMRYLZEBi1PRPPH0ssd1kx+ipGRFEhlNI6InLMEP105ipKSOh3h62WO9umVfinh6TSGfmrCEahhjWL1cJSWN6fmheHqZ47h1Yg7rCUIIyxHRE5bgNxXTE9HLnIXCyOR/joOzHndcOAkRPWEJXhhjGhneGsTT6wROjeotTIAR0WsGET1hCX4UrzkbI8VJh7eRiF7m1J3fLNP/mkFET1iCH8UkVWBr4joQJ8cIncIRB69FRPSEJQRh6umtva8jiYzOsTATI/mfMZhYPvdmENETluBHcVKyso7hLXaAJZ5e9pg4Pnk0K6LXFCJ6whKCyKTz2dcknQoqraU6QBwnkwPT4a3BGBG9ZhDRE5ZgY3rrTGQk7csD8fQyx0Qhi8HWZClIKQpvChE9YQlBFDfm6SGeXicwUcRCfV7qYkeyKFMziOgJSwgik647syZpnZ54etljwnBhzq39coz1/oSGEdETlhA0WqeHDG87gQl82zE5We/WGIMJgm6b1ZeI6AlLCGOz7jq9dJQVxjK8zRoTBAuroKUffBz43TarLxHRE5awENNrZBqaeHqZEwcemBjcJKYXxxhfRK8ZRPSEJTQyI0MSGZ3DeB7EBsdxwXExxhD7niy/2QQiesISwsisP6aXlKzEsSGWmy9TYq9q6/Jqhrfi7TWHiJ6whGZKViSZkT1xtWJnYLjuQuzBGEPsVbpsWf8hoicsodGSFZAhbtYYY6zoGYPjuraVv+tCHBNXyt02r+8Q0ROWsNBaah2+nuM4UqvXAYzvY8LQzr91klvWdTFxRFQRT69RRPSEJQRpImOd7YtseEl66mVJVJ5PBM9Z+GIWPL3yfJet6z9E9IQlLDQcWK/o4djhbSjD26yIyyWI44WhLQBuDhPHRCURvUYR0RMWiGJDFJt1D29hMZEonl52RPOzmDhasri39fQiotJcFy3rT/KdvJhSagPwLCAH3KS1Pt7J6wurEyQdVhob3krL+KwJ5+cwcYSTq/FRcomnNz/bPcP6lEw8PaXUuUqpa5VSb6t57hJgJ/CfwH8AY0qpF2dxfaE50kWBYP0dyV2SlvHSPTkzorkZiCKcJZ5eDhNFRHPi6TVK20VPKfUA4IfA64BfqHnpH4Fzkn/PAZuBTydiKPQA6WwMF9ZVnAwyvO0E0dysbS2VqxG9XA6iiHB2uouW9SdZeHpvBM4FdgEfBVBKbQeeDETAk7TWpwB/jR1evykDG4Qm8MKYeJ2zMVLS4W01kIaWWRHOTmOWeXrkcpgoJBLRa5gsRO+5QAg8R2v9leS55yXbm7XWP0z+/R5gGnhGBjYITeCFUUOZW0hWRDNWMIVsCGdO2OFtfjEE7+TydnhbmieWFlMNkYXoPQTYobUeq3nu2djC/W+mT2itA2Avi0NeoctUA+vprWdRoJR0/m1VRC8TjDGE08cxUWiHtClpX704IpyRfGAjZCF6G4Bq+kAplQeemjz83rJ9NyIrFvcM1SBKVkJb/zGppyfD22yIyyVi37fFybkaT89xFry98ISIXiNkIXoHgQcrpQrJ46dikxZz2AQHYDO8WK9wXwY2CE1QDdffNTnFdcTTy5Lg+CSE1stb/r04+TwmDAlPTHXJuv4kC9H7LnAK8H6l1KOAv8J6c1/RWkcASqkzgU9jExnfzsAGoQnKfuOenpN4emVfPL0sCE9MJUPbk0tqracXEhw/1gXL+pcsRO/9QBmbxb0TeCI2sfF+AKXUU4D9wNOAGeBvMrBBaIJyEDUc03Mdh9gYKjK8zYRg6hgmDJYkMVJSTy+YmuyCZf1L20VPa62BXwR+BHjA3cCvaq1/muxyEOvh3YMtXxlrtw1Cc5T9sCnRi4yh7MvKXFkQTB3FhOEqoheIp9cgmUxD01rfCvz8Ci/vBX6uRgSFHqHkRcQxFHJr75uSc+3wtuSJp5cFwaQVPXd0w0mvOfnCQkzPeoOFOmcQltOS6Cml/gP4CvA1rfWh9RyjtY4BEbwepLTg6a1/AJAOb0vi6bUdE8eJ6NUf3uLa78kEAcHxSYpnnt1hC/uTVj29XwNeAKCU+ilWAP8HuCURN6GPmPciImPINZDJcB2HOLYxvTCKyeekcU+7CKePLy7+Uy+R4Ti4hQImDPCPHRbRWyet/oWeBbwK+CJwAfBO4EbgmFLq35RSr0gytUIfMO+FxHGjMb1knQwD85LBbSv+0cMLXt5KZUR2iBsQHFnXQEugRU9Pa30M+BTwKaWUC1yOnXL2S8CLgRcBRil1J4vD4NtaM1nIAmMMc15IZGycbr04jkMuSWbMVQNO2SBxpXbhHzm4ZqzOyRcwgY9/VERvvbQtkZEMZ29O/nunUups7Dzc5wLPBN4N/JlSagr4OvBV4OvSU683KAcRUWynoeUamXwL5FyHKDbMViWu106CIwcxQYBbWEX0CgWiSglfPL11k1kARmt9SGv9ca31C4EzsI0FPggcAV4GfAY4opS6OSsbhPUzUwmJkqFtIzMyAOvpxYaZqkx8byfekYPEgY9TKK64j1MoYoKA8MSUXTFNWJOOdE7WWofYebffA96ilDofOwx+LvD0TtggrM5sNSBPlKFBAAAgAElEQVSKDbnG9A5IPD1jmKmI6LWL2KsSTh1LavRW8fRcFyeXIw4DvMMH2XDhRR20sj/paLv4FK31BHAdcJ1SauWfMaFjTFeChjO3KTK8bT/+4QM2npeI2mpYb8/HP7RfRG8dZCZ6SqlzgFO11j+ree6PgFdg18j4CvBerXUpKxuE9TNdDgjjJkXPAS8ynCj7GVg2nHgH9xMHwapD2xSnUMAEAd6hiQ5Y1v9ktUbGnwNjwJtrnnsn8LfAY4BHAW8HvqmUaqD+X8iK42WfKDbk3cb/JHKuSxgbpmV42zb8w/sxgY+zShIjxS0UMb6Pf1BEbz1ksUbG84A/w3qRG5LnRoC3Jrt8GSuG+7HNCF7TbhuExpmuJDG9Jjy9fDK8PV4W0WsX3oF9GN/HXZenVyQOA4KpY5LMWAdZeHq/i61XfYfW+iXJc88EtmIzt7+utf4gNokB8JKTTyF0mqmSTxgb8i3E9OaqgSwQ1AaiSplg8ihxuHrmNsXJ5XBclzjw8Q7u74CF/U0WovdE4Bjwf2ue+z/J9qtpT70k1rcbeGQGNggNYIzheLl50XNt53Ki2HCiJHG9VvEPTthSFTe3ZhIjxSnaIa53UHryrkUWoncGMK61rm0D/yys9/fdZfvOAFsysEFogJIfUQ2ipoe3juMsxPUmRfRaxjswbuN5xZF1H+MWRqzo7R/LzrABIQvRq2A7JwOglDoPeFjycLnoPQgrfEIXSYe2OcdpaN5tLXnXIYwNUyJ6LVOdGCdeZzwvxSkWiQMPb/+4bVAgrEgWoncPsF0p9fDk8cuT7d1a64PpTkqplwMPQNpMdZ3JeY8wMuSbqUxOKLgOYWSYLHlttGz4MHGMt38M43sNeXpOoWh7683NEk7LzM7VyKJO77PALwDfUUrdgp15YYBPwoLn91bgdcnz/5KBDUIDHJv3CeO4qXheSt518KKYY/Pi6bVCcPwYUWkeE8frKldJcRzHCp/v4U2MUTj19Ayt7G+y8PT+EbgeOBPba6+AbTf1D8nr5wJXJc9/TGstotdlJkuJp9dEjV5KPmdjesfmxdNrBW/fXozv4RaKDc+BdotFYt+nOrE3I+sGg7Z7ekm3ld9QSj0HeDSwE/hSmrUFNPCfwKe11je0+/pC4xyd8whiw6ZCC6KXDG+PzfsNLyMpLFKdGLOZ22LjszOd4ghxaR5PRG9VMpuGprX+OraF1PLnp4Ffz+q6QuMcnfds1+PR5v8c8knTAS+ImK4EnLpRplQ3g7dvD8bzyG3Z2vCxbnGEcPo4/pFDxNVK3XU1hAxbS6Uopc5QSj1ZKfXLyWNXKbU56+sK66MaRMxUgqRGr/k/B8dxyLsOQWw4OidD3GaI5ufwp44mnt76kxgptkg5R+x7VCfG2m/ggJBlw4FnAn8JPCF5yiTXuwC4Uyn1D8CfLavna+V65wF/gi2EviB5ei/w38Dfaq2P1jlmIzap8hLgwcAccAfwIa3119phV69zbN4jTProNVOjV0sh5xJGMUfnPdRZUn7ZKNV9ezC+j5Mv4DT5A+SOjGB8j+q+PWy8+JI2WzgYZNVw4A+wQ9snAk7NfwDnY6ekvQP4tzZd7ynY9XX/CLgY2AccABRW1O5SSj1q2TGbgO8A7wEeAvwMKGHX7P2qUuo97bCt1zky13q5SkrBdQgiw5FZ8fSaoTqxl9j3cEca9/JSnOKI9fTG97TRssEii4YDjwE+BMTYqWiXArfW7PIjbEOCCPhNpdTLWrzeKcB/YAui/wc4X2v9MK31xcBDse3rHwj8p1JqtObQD2NF+SfARVrrx2qtLwB+GwiBq5VSz2rFtn7gyJxHEMUUWhjaptgMrvX0hMapju1uuD5vOW46He3APkwoDSDqkYWn9+bkvG/SWr89mWO7MAtda13RWv8V8PtY7++VLV7vSmyR80HgRbXr72qt92CXqTyBHb7+BoBS6iJs0XQMvCxpapoe82ngr5OHV7doW89zJMncttPTk5he48TVCv7hA3YmRhOZ2wWSpSKNV6W6X+bh1iML0XsacBy4do39Po5tTPBzLV4vbTf/31rrueUvJiu23ZI8fHyyTRuZ3qq1vrfOOa9Ltk9SSj2oRft6mqNzVcIoptBiPA8gn3MI49jGCaXbSkNUJ8aIfS9pMtB8qN1xHJyREWK/SnV8dxstHByyEL0HAHvWSlAkr4/ResOBv8QOSf95lX3SOzptWXF5sv3BCrYdAMaTh09r0b6exRhT4+m1/qeQrqIWxIZjMge3IarjdmjbSjwvxS2O2CJlEb26ZJG9ncY2ElgP5yb7N43W+kfYOGFdlFJnAFckD9PW9duT7Wp/FWPYLPBDW7Gvl5muBFR8212lHZ6eLVuxGdwjs1XO3jq69kECYEUv9jzcDRtbPpdTHMXMzeJNjCULC3VlKZyeJQtP73bgzLWSAEnd3jnJ/lny/4CNQBmb8AA7RQ7s8HolppLtGRnZ1XXSmRh5t/FlH1eikEviepLMWDex7yWdkj3cFpIYKanIxdWyrJtRhyxE76PY4eQ/KaUeXW+HpIbvE9javU9kYEN6nT8FXpo8/IuaWr3057S6yuFp3+3Wf3p7FFuuElNow9A2ZdHTE9FbL14Sz8N12+KVOY5jS1c8KV2pR9tFT2v9X8C/Yoe4P1ZK3U3SHVkp9Xml1M+AbwCnY5MPX2y3Dcm13gP8f8nD/2JpJ+fo5CNWZGCbkx2d8wii9gxtUwo5OyvjiGRw101lfDfGa61UZTluWq83tqtt5xwUshrs/w4wgS0WfkTN87+RbCPgY8Cb2n1hpVQeW4P32uSprwMvWZZYmQdOBVYLOqUTF8vttrFXODrvEcYxI/n2LUhXcF2CKJBuKw1QHdtF7FfbOlfWGRnBlOaoTuzFxBGOK4sOpmQieklHlXcopa4Bfgnr6W3DznjQ2LUy2l5EpJTaCnwReHby1OeA39ZaL08lTmJFb7WmY2ks76Tpa4NC6ultKrbP07NlK4bZakDZD9lYlCD6asSBv7jy2dZT23ZeJ18AY4jLJfxDBxg5d6Arrxoi07/IJIb2qdX2UUpdoLUeX22f9ZDMvf0aiwsNfQB42wqlM/dhp6tduMop09d2tGpbLxLFxnZMjmMKbShMTnEdh5zjJL31fC44TURvNbyJMWKvaldWWuciQOthIa7ne1TGdono1ZDFNLTXN7Dv72PnzLZ6zXOA72EFLwJ+T2v91lVqBW9LtpfXezER0PSv5JZ6+/Q7UyWfIDYYs1hf1y7yOZmZsV6qNfG8dvcgdIsjGM+jOib1erVkkb39B6XUlavtoJS6QCn1LeDvgU2tXEwpVQS+BFwE+MBvaq2vW/0ovpBsr1BKqTqvp8J9o9Z6rBX7epXJtIdezm37zVZw7RxcWS9jbapju22TgTYmMVLszAyP6r7dmLiR3N1gk4XoucDHVmokkHiCd2OnjznAP7V4vbcBj0v+/Qfr6castd6JzTDngOuVUmmxcrpg0duSh3/Zom09y7HE02tlXYyVqO2iLKxMHARU94+3bSbGchbjemX8Qwfafv5+JYuAy1VYD+4TSqlAa/15sN4ddr5tKna7gddorb/X7IUSLy/NAIfAlWt4mV/VWr83+fcfYjvAXArcn5TWnMpiL753aa2/1axtvc6xZAW0dparpORzDp4fSwZ3Dbz9YxivksTz2n8r2rhekdivSlyvhizWyLhWKRUCHwE+rZQKgLOwdXKbsJ1NPgi8R2u9WnHwergUK1Rg38uT1th/oWhJaz2llLoceAvwIuASIMAuYvR3WuvrW7Stp7Fr3caMtLEwOcWugRvLGrhrkA5ts4jnpbjF0cW43pOekck1+o2sSlY+mgjfR7ElJGC9u7uA39Va/7hN17mDxWYCzRxfwraPurod9vQTk/N2ge+NLSwGtBJ2VoZhuhLYXn0ZCOsgUB3fZefbjmQ3R9kpjhCV5vAm9thlJdvQN7HfyewT0Fr/M/AqFmc0XA9c1i7BE1rjeNmKXjv66C0nHTFHseFEWRpZ1sOEAV6G8bwUp1DAxDFRqYR/aH9m1+knMpX9ZE3bV2CHtM8Dnpnl9YT1UQkiyn5IlFEiI10kKIxjjpdliFuP6v5x4moyvTuDeF6K4ziLU9Kk1RTQ4vBWKbXeWRUhUAS+pJRaPsPBJG3ahQ5xouwTJYsBuRnFknLJEFdErz526pmHMzKa+RrB7khSrze+h22/8PS1DxhwWv2JOa/B/Yt1jhnYCf29yolyuuRjdjdb3nWIYsO0DG/rUh3fk3k8L8UpjhKVJu1qaxLXa1n0Wl3fQugC05WAKDYtL/m4GrlE9E5URPSWY8IAb2KvXQRoy7bMr7cY15vDP3qIkQeem/k1e5mWRE9rveq8WqE3WRC9DIdVOdfBC2NmRPROwjs4QVy11Vqd6Gq8ENfzbKupYRe94fZzh5SZSkBksvX0bCLDiOjVoRP1ectxiski4NJUtOVERlrteEtaaFzz3LrRWn+nFTuExphJPL2RfHa/eTkniemJ6J1EdXx3y4t6N4o7MkI4XbINDoY8rteqb/0tbDnKw1lswfQtGktOmDbYITTAbDXMfHjrug6xMcx7IbExmWWJ+w0TRVQnxjBeFWdzqwsBrh+nUMREEdH8LMHkEYpnnt2xa/ca7ZD7eudwGvhveH9yusScFxAZyHKiRM6B2ECUCJ9g8Q7tJ66UgKQhQIewcb1i0kJ+uOv1Wk1knHTb1HtO6C3mqiFxnK335SQ1gHFsmPcito527gbvZdKhbSfjeSlOOg93fDdbn/Dkjl67lxCBGjK8MMKP4swTGWC9vcggnl4N1THbNDSL/nlrUTszw5jhLY/NPJamlLoYu2D2Kdj1Ju7VWktzry4x70XEZjG2kCWuaz29ORE9AEwc403sIfY98ps6F89LcYo2rhfOzhBOHaNwxplrHzSAZCZ6SqkXA+8BTupMrJS6FXin1vqmrK4v1Kc2sZD18CrnOETGUBLRA8A/cpCoVLLZ00Lnh/uO4+AWiphk3YxhFb1MhrdKqQ9hOxM/DOtQzAIHsUsvOsAvAN9VSr0hi+sLK1P2I+KMZ2OkpDG9ki+iB0tbw3c6npeSLhbkTeztyvV7gSwWBno+titxBLwPuEBrfarW+nyt9TZgO7aJqAE+qJR6fLttEFam5IdEZrH9U5a4SQa37Mv6DJAsAtTh+rzluCPpCmnDG9fLYnj7h1hB+z2t9ceXv6i13gO8WSk1Bvwd8CfASzKwQ6hD2Y86VjfnJvNvRfRsPK+6L4nnbWxpLayWcApFTBAQTh8nnD5O4dTVln4eTLIY3j4KOFBP8JbxYeAwMLy58y5Q8jtXLOw6tkBZRA+CySNE83OYKMIpFLtmh+O6uMXiUE9Jy0L0RrBitirJmrQTLK5xIXSAahATx50d3kpMr2bqWbHYtXheijPkTUWzEL27gUcqpVb1m5VSG7CJjnsysEFYgW54epVAPL3qmI3nOV2oz1vO4iLgu9beeQDJQvTeC4wCn1VKbVxlv78DNgN/m4ENwgpUgjSml/21JJFhMcYkTUOrXSlKXo5THCEOfILjk4Sz0902p+NkkciYwK57+wbgZ0qpjwL/CxzHLgH5SGzz0cuwXt5mpdSrlp8kWVhIaDM2kUFHhlgLMb0h9/TCRFxMFPaEp+e4rk1oJEPczZc+rtsmdZQsRO8n2OytwS6c/Zcr7OdgBfBjK7wuopcBqafXyTo9L4iHutPKQqlKoXv1ecuxzQd8quN7RPTawD5k3YuepZR4ep0a3tpfPxvX21Qczg5itU0GegV3ZJRofnYokxlt/yvUWl/Y7nMK7aOS1Ol1wuNwHAeXxbjesItefusp3TZlAadYJA58/GO2lCbXwd5+3aajf4VKqXOBXwdywNe01rqT1x920vhabLJtIFqL4w53rV4wfZzgxHFMEHS1Pm85jpvDyRVsXG/fHjY9/NHdNqljZDX39tFKqa8qpT5Q89yTgPuBD2Eztvcopd6cxfWF+lSDCGMMpkPDW1hsGz+sTQcW4nnFYs+1aE+npA3bEDeLubcXADcCz8G2kU+5Fpu9nQN+hvX23q+U+vl22yDUZyGeR2eyt1BboDycnl7tIkC9hlNcXAR8mMjip+dNwFbgVuDdAEqpRwGXAj5wmdb6UcBV2AzuVRnYINSh5Nm1MdxOuXkslq0M66yM6r49XWsauhZuUq/nHz5AVCl325yOkYXoPRuoAr+mtb4jee65yfY7Wuu0DPwjwCTwlAxsEOow38FmAyluMrwdxu7J4ewMweRR4sDvTU8vl8PJ5YgDH2/f8Hh7WYje+cAOrfWxmueeja1e+Hb6RDL3dhw4KwMbhDrMVbNf5Hs5uSSRMYzdk6vjuzGBh1Mo9Fw8L2VhStoQxfWy+CaWpKiUUqPYpqEA31u27ymALIzaIea80Mb0Onj/5RyIYsNcdRhFbxex5/fk0DZlsfmAeHqtMA48pGbe7S9iO69M1Qx3UUop4MHA8HzaXWa2kv16t8vJuQ6RsWvtDhvV8T0Yv9qTQ9uUNIPrHZog9rxum9MRshC9r2MbCfyzUupXgfdjh7Y3pDsopR4LfB6byPhaBjYIdZipBh1ZBa2WdHGgmepwOfTR/Bz+sSPEfo97erk8jusSex7VIWkhn4Xo/TVwDPhNrNAp7NoY7wNQSj0T+BE2m7sP+JsMbBDqMF1JYnodFL284xDGhplKMFTtyav79thWUvkCTi7XbXNWxR0ZXWg+MAy0XfS01geBy4EvABr4MvBUrfVYsssuIAa+BFyutZ5stw1CfabLAWFsyHdQ9NJERhDFQ1WrVx23reG7uR7Gehm2pqKZTENL1sGou+6F1npcKXWW1vp4FtcW6hMbw4lKQBTHHfX0HMchl3h7x8s+m0eGY/7twkyMjZu7bcqauMURotlpvAP7iIMAtwvLU3aSruTRRfA6z0wlIIxijKGjiQyAvGtFb6rkd/S63SKqlPEPH+j5eN4CuRw4DrFXxds/1m1rMqc3i4eEtjM57xMm8bxO93TLuw5hZDg2PxzZQW9iry1ITop/ex3HceyUtCEZ4oroDQlH5z2CKKbQhSLZfM4ljGMm54fD00vXw+gLLy/BLY7YDO4Q1OuJ6A0JR+c8m8TIdb5zb951CCLD0bnh8PSq+/YQe73ZZGAlUk/P2z+GCQe7plJEb0g4PFtNPL3Oi14h5xBGMYdmqx2/dqeJfQ/v4ETfeXpO3iaY4moF79BEl63JFhG9IeHgbJUgMhRynf/KCzmXIDbMVoOBbzzg7R8n9j07168P4nkpaVxvGIa4InpDgBdGTJV86+l1QfRcx1kY4h6aGWxvrzpuW0k5xd5ZBGi9uGkyY8A7rojoDQEHpqv4YYzrOB2t0aulmHPxo5h9Jwa7b1t1X1KU3EdD25S0SNnbtxcTx902JzNE9IaAfSfK+FFMMd+9r7uQc/HDmInpStdsyBoThjYR0KOdktfCKRQwcUxUnsc/eqjb5mSGiN4QMH68TBDGFLswtE1Z8PSOD66n5x3aT1y1op4mBvoJx3Fs6Uri7Q0qInpDwN6pMl4UM9JFT28kbz29Q7NVygPaOt6b2LuwHka/xfNSnGIR4/sDHdcT0Rtw5r2QI3M2ptdNTy/n2niiHxnGpgbT27PrYfi4xd5Z6rFRFoqU9+0d2K44InoDzu7JEl4Yk3e7l8RIGcm7eEHEzslSV+3IAmMM1X17iYP+jOelOIUiJgwIZ04QTg/mFHkRvQFn57F5vDBmJN/9mrHRfA4vjNl1bL7bprSdYOoo0fwcJop6alHvRnFc1wrfAMf1RPQGHH1knmoQMVro/lc9knephjF7p0p44WD11vP27bWzMArFvo3npaTJjOrEYMb1un8nCJkxWw2YmC7jhTGjPeDp5V0H14FKELPr2GANcdP6vH4e2qYsJjPGum1KJojoDTD3H7FD20LO7Xo8D2xJxGg+RzWIuPfwbLfNaSvViTGM399JjJR0EfDg6KGBXARcRG+AuefQLFW/N4a2KRsKLpUg4meH5rptStuI5ucIpo4Sh725qHejLFkEfP94t81pO71zNwhtJYoN9x6apRJEbOiBoW3KaCG3UK93ZG4w5uFWJ/ZifB8n17uLejdKmswYxBXSBuMbEk5iz2QpWfKRrhYlL8d1HEby1tu768BMt81pC14ieoMwtE2xyQx/IDO4vXM3CG3lJwemKfsRGwu5nssmbizmqfiDI3rVibGBSWKkLDQVPbAPEw1Wpl1EbwCJjeHO/TOU/YgNhd4Z2qZsKOSoBBG7J0ucKPd3C3kTBngH92OCPlkEaJ0sNhW1ixwNEiJ6A8jeqRKT8x5hHLOhh5IYKXnXoZh3qfgRP56Y7rY5LeEd3I/xkthkHzUNXQvHcXAKRWLfpzpgK6T13h0htMzt+6YpJV5erw1tUzYVcpT9iNv39bfoVScWp5716mfdLAtD3AGL64noDRhRbLhj3wlKfsSmYu+2N9pYzFMJIvZMlfo6izuISYwUt1gkDnyqE2PdNqWtiOgNGPcenuV4OSCODaM9lLVdTs51GE28vR+Nn+i2OU1hjMEbwCRGilMoYoKk+cBMf35H9ejdu0Joih+OHafkhWws9u7QNmVTMUfJD7lt7ARxH7YxCo9PEs7PYqKwr5sMrERt84FB8vZE9AaIeS/krgMzlPyIzT08tE3ZUMgRRDGH56rsONp/nVcWpp4NQJOBlUiHuN4ANRXt/TujSZRSrwOuA16jtf6nFfbZCLwVeAnwYGAOuAP4kNb6a52ytV3cNnaceS8kl2RHex3XcdhYyDPvhdyy9zgPO2tLt01qiNpOyYOKUxwhLs+Lp9frKKUeD3xgjX02Ad8B3gM8BPgZUAJ+EfiqUuo9WdvZTowx3LxninkvYvNI//yWbR7JU/Ii7pyY7rs1ce30s/5c+Wy9uEVbtuIfOUDsed02py0MnOgppa4Avg6s5TZ8GHgi8BPgIq31Y7XWFwC/DYTA1UqpZ2VpazvZNVli/3SFahixqdg/9WIjedsBZs4LuG2sfzr1RpUywdHDxEEwkPG8FCeXx3FdOyXtwGA0HxgY0VNKjSqlrga+BZy6xr4XAS8HYuBlWuuJ9DWt9aeBv04eXp2JsRnw/V2TzHshmwp53D6LL20eyTNXDblp92TfJDS8fXuIA3+hI8kg4wzYIuADIXpKqe3ADuxQFeBPgdV+ll4B5IBbtdb31nn9umT7JKXUg9pmaEbMVgPumJhm3ovY0kdD25RNxRx+FHNwpsr9h/uj5VR13+APbVNqFwsaBAZC9IDzgPOBHwJP1Fr/1Rr7X55sf1DvRa31ARZF82ltsTBDfrB7inkvXJje1W+4jsOmovX2vrdrstvmrItB6pS8FgszMybGBqL5QP/dIfXZDzxPa3251vqOdey/PdnuXmWfsWT70FYMy5owirlp9ySz1ZAto/3n5aVsGclT8kPuPjjD0bneDpjHgY93cCKZiTEEolfTfMA7tL/L1rTOQIie1nqX1vqrDRxyZrI9tso+U8n2jOas6gw/3j/DsXmPKDZs7MGOKuulkHMZyeeY80Ju3LXa19J9vP3jtsmA4wxUk4GVcBwHp1gk9r2BqNcbCNFrgo3JdrVJn5Vl+/Ycxhi+s+Moc9WQLSP5vi+Q3ZIkNG7ec5yK37vDqOr47oWhbb9/5uvFLY5iPI/q+GqDo/5gWEWvkTuqZ9OJuydL7JksUfb7qzZvJUbzLo7jMF0JuHnv1NoHdInq2G5ibziSGClOuizk+B5MHHfbnJYYVtFL5zyNrrLPhmTbs8tBfVsfY84L2VTM98RqZ63iOA5bR/LMVgO+u+MYUdx7vzcmDPD2j9nM7cgQiV6hgIljotI8/pGD3TanJYZV9NIU4emr7JPG8o5mbEtTHJmrcucBO4thax8nMJazqZgjjAyH57yebDBa3b+PuJpEPnKD87mvheM4i4uA793ZbXNaYlhF775ke+Eq+6Sv7cjUkib5tj7GfDVkJJ+jkBucr9FxHLYk3t439VFMjxUrV/futPG8kdGhieeluCOjGK9KZWxXt01picG5WxrjtmR7eb0XlVLnAWlR8i0dsagBZqsBt+49zqwXsnUAYnnL2TySpxpEjE2V0D3WfaWydyexVx2qoW2KM5LG9Xb3db3esIreF5LtFUopVef11yfbG7XWY50xaf18d+ckM9WAfLKc4qCRc22x8mw15Jv39050IfY8G8/zPNziauHgwcTJF8AY4nIJ7+C+bpvTNIN3x6wDrfVO4F+xU9GuT6axAaCUejnwtuThX3bBvFWpBhE37TrGbNXG8gZ1iLU1KVa+59AsEyd6I5dUHd9F7FXBzS0U7A4Ttl5vhNirUtmtu21O0wyl6CX8IXA38HDgfqXUnUqpMeDT2D6D79Jaf6t75tXn5j1TTJUCMKYnl3dsF/mcy4ZCjrlqyDd6xNur7NmBGdKhbYo7MkrseVT29GSoe10MrehpraewMb0/xyYrLsFmc28EXqi1fm8XzatLGMV8e8cxZqsBW0YLA+vlpWwdKTDnhdyx7wST892fmlbZrYk9m8QYVtJkhjcxtpjF7jMG1kfXWl+4jn1K2PZRV2dsTlu4fd80R2arhJFhcx/1zGuWYt6lmHOZ9UK+pY/xksed1zVbwpkT+EcPEwce+ZGenpmYKU4+D7kcse9R2buTTZc8qtsmNczQenr9RmwM39BHFxoLDLqXl7JtNJ2aNsVsNeiaHeVd92P8ql0Pwx3u28YdGSWuVqnsvr/bpjTFcH97fcQ9B21Avxr2Z8+8ZhnJu7iOw0w14MYutp2q7L6fuFod6qFtio3rVajsur/n6ijXg4hen/BNfZTZSsjmYv91Rm4Fx3HYNmrLV27cOUk16Hx9mIkiKrt3JPV5G9Y+YMBxiiOYMCQ4PkVw7Ei3zWkYEb0+YM+kLdItBSFbRgvdNqfjbCjkMMYwVfK5dW/n19GoTuwlLs2DMTiF4fv8l+O4bn0YtKgAABsuSURBVNJNuUpl131rH9BjiOj1Ad/UR5mrBmwq5MkPQGOBRnEch62jBWarAd/pQiOCyo57ib3KUE49Wwk7xK1S3imiJ7SZI3NV7txvGwv0c2fkVtlUzBFEhoOz9vPoJOWd9xJXq7ijMrRNcUdt6Up1fHffla6I6PU439s5udBYoDhAjQUaxXWcZNW0gG91sBFBcGLKlqr4Hq4kMRZw8gVwXeJqpe8KlYf3LuoDSn7ILXummBvQxgKNsmUkTyWI2DNZYtdkqSPXrOy8zyYwiiNDX6qyHHdkgx3i7qi3oGDvIt9iD3PznimmKwHugDYWaJSc67CxkGfOC/nujs6so1HeeS+mWsEdFS9vOe7oqPX0dt3XV92U5U7qUaLY8L2dk8x5g7H+RbvYMppn3ov4yf4Zjpf8TK+VNsyMvSqOlKqchFMcwUQR4cw0fh+tkiai16P8NFkKMYwMm4Zgytl6KeZcijmHOS/kpt3ZFitX9+4kqpTBcYayq8paOI6zUKhc3vGzbpuzbuSb7FFu2mW9vE0juaa8vMps5+vZGmXD1tOaOm7LSJ6Zqo13Pu8RD8ysc3Rt1rZZT3uq1BttsVbj9E3NL/jnjm4grpQp77yPU5/+S220KjtE9HqQI3NV7js8R8kPOWdLc7GkT772mW22qv383r/f2dRxGwo5jlcCpko+P9k/w+MvOLXNltnlNcs77yf2KuS3bGv6PI//wD+20aps2HP1m5o+1h0ZJZw5gXdwH+HcLPktW9toWTbI8LYHuXXvcUp+xGg+R36Iy1RWwnEcNhdtbC+rpSKDY4cJT0xhwlDm266Ck8vh5AsYz+ubBgRyR/UYUWz44dhx5r1wKNpHNcvmYo5SEHL/4blMeu2Va0tVJIm0KunsjMouET2hCe47MsfkvE8UD3Zn5FbJ51xGcjnKfsQPx060/fyV3fcnDQbEy1sLW7piW8j3Q+mKxPR6jP8dP0HJD9lYbC6BkXLlR7/dRqt6k03FHCU/5PZ9J3jeI85qm0cWBz7V8b0Yr4qzubUY1Y/e8rq22NTLOIUiJo6I5ufwD+1n5NwHrX1QFxHR6yG8MOKuA9OU/IgHbCq2dK5mM6P9xMZijuMVn4MzFfadqHDBac1nIWvx9u0h9iptKVVpJTPaLyyWrlSp7NnR86Inw9se4r7Dc8xXQxwY6nm268V1HDbkc5SDqK1NCCp7d1kvT+J568YdSVpN7d3ZbVPWRO6sHuKuAzOUg4iNhdaGtsPExmKOih9x14GZtp2zOr6b2JMGA43gFEcxvoc3MdbzC4GL6PUIsTHcc2iWih9JAqMBNhRyeGHMwZkqR+daz+LGvod3YB/G93CLw7vUY6OkYYC4Wu75hcBF9HqEiRMVZioBkTHSXKAB0mYM1SDi/iNzLZ/PO7gf43vgupCTH5/1YhcCL9ofjf3j3TZnVeTu6hH0kTmqQcxIXoa2jTKaz1EN4/aI3oFxYt/HKRTle2gQpzCC8X0RPWF97J4sUQ0jRsXLa5iRgosXRuyeLLXcXNQ/sA8T+LjF1rLnw4hbLBIHPt7BiW6bsipyh/UAxhj2Hi/jh7EMbZugmHMJI8NMJeB4ubW1cf0jBzFBgFMQ0WsUp1DEBAHhiamebiEvd1gPMF0JmK0EBLGRUpUmcB2HQs7Fi2ImTjTf1ST2PYLjk8RhYNuhCw3huC5OLocJA/yjh7ttzorIHdYDHJ71COKYgutIHKlJCjmHMIo5NFtt+hzB1DFMGNigvCQxmsLJF4jDEP+YiJ6wCofnqgSRyawv3DBQyLkEkeFIC2Ur4YkpTBRCTiYqNYuTz0MYEk73bj9Huct6gOlyQBSboVzTtl3kXYcwNky3ENMLTkxhwki6JLeAk8tjopDwRDYtv9qBiF4PMFO1opcT0WuanOMQxYbpSvOiF83PYuJIhratkMthoohofrbblqyIiF4PUPYjImNwJZ7XNK7rEBtDyQ+bPkdcLkEUyVKPLeC4LsQxUWm+26asiHy7PYAfxRgDonnN4wDGQBg3X6cXlcu2H5wrnl7TuC4mjogrvbs2iIheDxDFBoO9cYXmcBwwQBg1L3omCgAjX0QLpNUHJmze484aEb0eIO86C56K0Bypp1zINa9YJoyscorqtYADxtgseI8iotcDFHMurgO932i7dzGJg9ZK2Y/USA4HIno9wOaRPK7jELcQjxp2ImOz35tGmi83cQqFZJws30OzmMTldnq4LZeIXg9w6sbiQp2Z0Bxpyc9pG5ufPrbQWUVEr3lMDI6DW+jdaXwiej3AaZsK5HMOYR+sJNWrBHFM3nU4vYW1RXKbNi/UmQlNEsc4bo7cpi3dtmRFRPR6gPNO2UAx5+JHpuXWSMNKENpmDeedsqHpc+S3bsNxcxCL6DWLiWxxd27Ltm6bsiIiej3A2VtHKeZdwBDJELdhjDH4UUwx7/KgU5tffSy/7TScfL6nyy16HRPaucv5bad225QVEdHrAQo5lwtO28hI0gFYaIwg+aHYWMxxzrbmF/MpnPlAnHwBEwbicTeJCQPcQoHiWWd325QVEdHrES45aysbCi6VQIZWjVINIkYLLg99wOaWSlaKDzgLp1CwgidD3IYxxmACH6dQoHCmiJ6wBg9/4BY2FHJUw4hYvIyGKAd2BbmHP3BrS+dx8gWKZ51j2577ra+sNnQkBclOcZTiWed02ZiVEdHrES48fSMP2DxCIWdX9hLWRxjF+FHMxmKOx5x/SsvnG71wO25xFOOJ6DVK7Hk4xRFGz79ASlaEtXEdh8sedCobiznmfRG99VLy7eLo6swtnLKh9Rttw4UX4YyMEHtVies1SOxVcUdGGL1ge7dNWRURvR7i8gefxuZinmoYEUaS0FgLYwxzXsiWkTyXP/i0tpxz9CEPJbdxsz1/0NoiQ8OEiWMreqMb2Kge0W1zVkVEr4d44NZRHnH2VjYV88x5UjaxFuUgIuc6nL555P9v78zD46quA/4bSSNZGi2WJRtsg/GCORiMN3AMNotdKBCMCQlLIRgCgZAuIfQrbYACAZOkhHRJAiHly0dT0oY2oRQKBLJAIFtDKEsIAcIBsy8mAe+yZC0z0z/OfXgYa2RpNKOReOf3ffqe3nbnvPfuO+/ce849l0UlaNoCVCVrqZ+9L1Xj6slsH73pkUYbme7tVCWTJNsmUTt5j0qLMyCu9EYZK/aZSPO4Gjp6+jxmbwCy2SxbtvfRPK6Gw2e1l3R+kdT+C6iqbyDT1elN3EGS6dpGVX0Dqf3mj/rEDa70Rhn7797EjLYU9clqtnZ786oQXb1psmRpbahlxT7tJS07JXMtuDaRINtd/OxqcSGb7iPT3U1VfYqmhUsqLc4ucaU3ykgkEhy//+601CfZ2t3nSQj6IZvNsml7Hy3jkqzYZyKp2tJO5JOoSdI4/yCqGxpHddrz0UK6cxvV4+qpn7E3yfZJlRZnl7jSG4UcMKWZfSY1kqqtYfMwJrp5v9LRkyYBtDfWcZRMLMtvNB+0jOpUI9mebjLu0ChINpMhs62DqsYmmhcfWmlxBoUrvVFIIpHgpPlTaalP0tnbR7cPTXuXdCbL5q5eWhuSrJq7e8mtvIhk20RS+82nKtU4qmf2qjSZrm0kkklqJ02mYc68SoszKFzpjVJmtqdYMn0C4+uTbOjs8Q71wKauXsYlq5g+oYHDZpW2Ly+flmV/RHWqicz2LrJ9bu3lk81kSG/dSnVjMy1LV4yZWeTGhpQx5aT5U5jUZBloPYQFuvvSdPamaW2o5fQD9yz7PMF1U6eRmjOP6lQTfVs3l/W3xiKZzg6z8nabQtOCD1RanEHjSm8U01Kf5MR5U2hL1bJ5ey+9MQ5YzmSzrN/WQ2tDksNmtTF7UuOI/G7rig9S3dhEtrubTE/PiPzmWCCbyZDu2Ep1UzPjjziGRE15uhnKgSu9Uc6ymW3MndxMU12S9TFu5m7u6qWmuoqpLeP48PyRG8xeu/sUmhYsprqxmfSWjbG9//mkt26mqm4cdVP3onHegZUWZ0i40hvlVCUSrF68J5Oa6shm49nM3d6bpqMnTVuqltWLp5XNeVGI1iNXUtM6wTyVo3gS65Ei09trYSrN42k79sNjpi8vYmxJG1PaG+s4ZeFU2hutmRsnb246k+Wdzh7aUkkO37ud/ScPL31UMdQ0j2f8oUdR09JKessmsjGeyySbzZLevJGapmZScxdQP3N2pUUaMmOnIR5zls6YwNPrtvDzF9bzdkf3sCa1HkukM1nqk9VMn5Di5AWVy9HWsnQ5HU8+SqZzG+ktm6gZX5oEB2ONTOc2stkMNa1ttB1zYqXFKQpXemOERCLBGYv35KX1ndRUJYhTz1JjXTXnHrIXdTXVFZMhUZOk7fhTWffN6+h9+62QRqn41PRjkWw6Td+WTSTbJtK64rhRPQ/GQLjSG0Okamv4zFGzeXF9Z6zmZp3cMo4pLcXPclYq6qfPovmgpWz65QP0bdpIcuJuY64/q1iy2Sx9mzdQ3ZCifvreNC85rNIiFY0rvTFGa0MtBzYUP7erMzwmHH0CnS88y/auLvo2bYiNtZdN95Ht6yPZvhvtHzp9TCt7V3qOMwSqxtUz8YTTWPetr5tTI0ZzadSMn0Drig9SO2n3SosyLFzpOc4QqZ8ltK86la4Xn6u0KCNKckI7LUuXV1qMYeNKz3GKoHnxMpoXL6u0GE4RjN2GueM4ThHE2tITkQbgM8BpwAxgK/AY8BVV/X4lZXMcpzzE1tITkRTwAHAlMBN4GtgGHA3cKyJXVlA8x3HKRGyVHnADsAR4ApilqotUdS/gLKAPuEpEjqqkgI7jlJ5YKj0RmQWsBjLAGar6WrRPVf8d+GJYvWrkpXMcp5zEUukBZwLVwEOq+kw/+28My2UiMm3kxHIcp9zEVekdEpa/6G+nqr4BvBJWjxgRiRzHGRHiqvT2DssXBjjm5bDcp7yiOI4zksRV6UWTc749wDHrw7K8s884jjOixDVOryEsB5q+vivv2GLZ89VXX2XlypXDLMZx3j+sXbv2LlU9oRK/HVell2bwVu5wczh19vT0sHbt2td2fajjOOUmrkqvA2gFBsoLFCVwG9akCKo6tlNSOM77jLj26b0Tlm0DHBP15f2hzLI4jjOCxFXp/S4spw9wTLQvXvmDHOd9TlyV3sNheUh/O0VkDyAKSv7liEjkOM6IEFel919huVxEpJ/9fxqWP1XVl0dGJMdxRoJYKj1VfR74D2wo2u0iEgUrIyKrgYvD6ucrIJ7jOGUkkY3RrFq5iEgb8CBwABbC8lvMo7tXOOQyVf27ConnOE6ZiK3Sg3dz6v0NcCqWU68XSyJ6nareXknZHMcpD7FWeo7jxI9Y9uk5jhNfXOk5jhMrXOk5jhMrXOk5jhMrXOk5jhMrXOk5jhMr4ppaqqyIyHTgpQK7s8BG4FXg+8CXVXWgDM6jEhE5G/hX4A1V3SNn+0+weUW+oKqXV0a6wojIPOA84EhgKpZe7G3gKeAe4F9UtWuA8/cAtqjqlpxtNwMfA25R1dXlk744RGQ5FogPkFTVvhKVOwd4VlXLHvdWynvsll75eQr435y//8NSW80FLgWeEZEDKidefBCRNcCvgQuAPYAXsXmPM8CxwPWAisiifs6tFZGrsaw7k/L3xwkRaRaRrwFPYkM5xxRu6ZWfC1T1J/kbwzC4bwErgdtEZI6qZkZauDJwFpZi/51dHTiSiMg5wGeBbcDZwB2qms7ZPwf4JnAw8EMR2S/PAp8CXFGg+EuxuZI3l0H00cgi4C8qLUSxuNKrEKq6XkQ+BryBzbh2NPCDyko1fFT11UrLUIDLwvKvVfW2/J2q+jsROQGzzCcBn6awkss/dx2wrlSCOuXFm7cVRFXXYy8ZWHPXKQMi0grMCqsPFzouWHb/E1aXlFsupzK4pVd5kmG5NX+HiNQAp2MJERZh6e37gDeBB4B/UtWdMjuLyDFY8+NgLHPMZky53grcpKo9/ZzTDFwIfASbF7gK6/O6HXO2bBrMxfTnyMhx7PwemAx8HDgf2C+c9hTwDeDm/jrFSyBbb87/x2P9eoW4EvhqkDX/miKeD2kYV6jqTwp1sotIdC1J4GTMejwAe4aPAFeq6kMh8cXfAn8C7AlsAn4IXKKqb+aUN50dDrLZqro2X3gReRnLFHSOqt48wHVGxw+pjuWUH9Eb7sWM3NyTInJ4uN5locyNwENYMo8HCsgyDvgkdi9nA93A/QzS4h4sbulVEBGZhVl4GfKatiJSD/wI+DfsRe3B0l9twCrEJ4HHRWRh3nmfDmWtwl72JzCFegRwA9ZfVZ13zr7Ab4CrsZfyTeB5YF+sH+yJcMxwSWD9mDdhTfrnsBfsYKw/7Zr8E0ohm6p2YE4kgDUicrOIHJ5/H8Kxb6nqM8EKj/gt8GjO+mOhvMH24X0Z+E9MYa8F6oA/Bh4UkRWY9Xkp9j4+jzWvzwR+JiLDnYK0IEXWsUfY0TqBHQ66d6dTFZEvAj8FTsKu9Umsjn8I+HHYny/LeODHwFeAhVh0w5vAKdj9LllLyJXeCCMi1SLSJiKrgHuxZ3CNqr6Sd+jFwArMIfABVZ2hqotVdRrwAawPKbIQorLHA9eG1dNVdWo4ZwZwDDaX73KsIkXnpIC7sTlB7gSmqaqo6gLM6rgH+7LfFV6S4TAJ+ChmtbWr6oGY5fftsP8iEZlYJtkuwGbBS2CWxE+BDSJyj4hcIiJLRKTf90FVLyDnngGnqeqhqjqQxZjLp4BLgCmquhBT+G9iCuF+zPGzRFVnqupcrH83jTXJT+m/yJIw5Dqmqqdg9zJiebgXbwGIyCdDuZuA1ao6QVUPwhxBp2GOpItF5Nw8Wf4eWAq8DixS1f1VdR4wB1OAB5bqol3plZ8HRSQb/WGWzTvAXVjlv5b+zfejsK/jGlV9JHdHWP/nsJob7iJY3NlG4Lt55/wIs6Ruw77oEedhFsjjwEm5zalQkU8BXsG+/GcP+qoL83VVvS7ynKrqduAvsfjFGuxlK7lsQUEtAX6Rs7kZOA67L78C1onI58tgXf1AVa+N4uNU9XXM4gV7B8/Nfcaqeh/w87C6U/hMCSmmjhVERGqBNWH146p6S055WVX9Lpa/Eszirgnn7Y51eYApyl/nnPccZiHmdlEMC1d65Sc/Tu9XwNNYfwXAXwHX5Te1VPVQTIHdWKDcaD7e3Bf0JUyptgI3i8j8vDI/p6qn5CVI/XBYfic3hCPnnC5MUYI1mYfL3f38xnosQBhgfLlkC83Ww7Dm0xps0qfcl2kS5uV9MgQhl4p7+tn2clh2YlZnPpGCby6hHO+hyDo2EEuB3bDulDsLHHMLpminskOhH4fpopdVdad7oaovAPcNUoZd4o6M8lMoTq8Ws06+hjV/qoE/zz1GVXtFpFVEDsaswplhuRCrXJDz4VLVP4jItdiLexZwloi8hfWV/Ai4V1Xz4+eivpJPiMiHClxDNGF5Kfr13iiwPRoFkVsnyyKbqj6B9XVeFay6ZVjz/0xM8c3CJo/qd7a8Initn22Rtb2+QHxmpIwTJZKhX4Zax3ZB9Lxqsf7IQselQ5n7YsH60YFPFToBe17HDVKOAXGlVyGCB/UbIjIZuAo4X0SuUdXXAESkCfMirmaHhxfsZXkc80Ae20+5l4vIY5giPRxTCmeEvz4R+Q7wKVWNOuFbwnJ2+BuI8bvYPxh28hznkfuSl102Ve3ErIj7ROQKzKFyGnCwiCxS1ceLKTePbQPsq1hAerF1bACi51WHfUh2RfTMWsOyY4BjNw5BjgFxpVd57sSUXjX2dX0tZ/sKzAK6nh3N4ufD1/kTFKiQqnoHcEcI9TgCc14ch31ZV2OV84Rw+LawvkpVv1fiaxsuJZFNRG7ExtrerKpfKHScqnaJyPlYaEwtZoGUQumVg0IWYGoIZRRdxwoQKffHgvNisESe8oGa8sN1or2LK73Kk/ulTwCEpsaKsG2lqj6401k2dvQ9BA/mbCChqr8Jg+LvDn8XicglWKf9KhFpCdaeYs6D/YF+FYuIzMaUzys6sskRSiVbPeYQOREoqPQAVHWriHQAE9jRzzhayE0UUJe/Mzz/QVm8xdaxXaBhuY+I1PSX2EBEEthH+HXsmfXknDdfRBL9xWpidaAkuCOj8qwMyywWjwQwI2f/Y+QR+qFOD6u5H67zsZi2b4fKlU9uZ3DkOIkcC+f1F/YRPGx3YvFZ/1D4MspCqWSLQmIOEssOUxARORpTeBswyydip49TBViP1RPovw9zFYM3ZIqtY1D4XvwMi11sAs4p8LsfxYKen8XCjsAiGXox58YJ+ScE7+7xBcobMq70KoSIJETkI+wYE3pbCGUAqxARnxWRZM55+2EpqaI+rlzP2q1Yf8xc4Mshzi06r50dVs7Dqroh/H8DFo+1NxbvNi3nnImhzDmh3JFWeiWRLYSA/HdYvUlEvhJGN7yLiIwTS0pwa9h0WQhqjsj9P3dEwogRvNVRc3uNiEyJ9gVlfcMQiiu2jkGBe6Gq29gRYP5VETknN/YxOKMiT/GtwStLqIvR8/umiByZc8407MM2lGb7gHjztvxcLyL5kftJLOA2SlH0GPBn0U5V/bWI3IoNDboIOFtEXsKG80Rf6PuwqP4mEWlW1S2quk5EPo5ZNhcC54rIC9hznoWFJ7wDnJvzWxvFBtrfjcVtvSQiz2Bfc8GaUX1YsPNvS3FDBkuJZfsoNtTtLOzeXCgir2LDzaJugTpMgV6qqu8J41DVDSLyCvaS3yEizwJXqOpIJ4m4HLsf+wEvhvsxIcj1CBYWVcjT/S7F1rGw/Tms/y4FPCwiL2Kxhk8CX8Lq2icwp9CXQrlTsQBlsFjJ/ODkNdgz/Qhwv4g8jynXAzBv772UyHvrll75mYt5snL/5mFxet/DmgEH5w17AntJz8cqchUwH3sp7waOV9WjsUh1yIlRCwGhy7H4tU3Yy7EXNrzpGmCOqj6d+0Oq+miQ82psyNB0zIL6PTZE6UCt0OTnpZJNVXtU9Wysj/AfMYupDliA9V0pNipgnqruNEwqcDI2frQaC+vYu9jrKpagZA/FEiN0YM+3CxuSdxgDe0DzKbaOdWD34jeY4ptJUJQhCPl8LAToDuyjtBBr8v4KG497ZPCa515XNxZsfg52j3cL5d6PvTMPDeG6BsQn+3YcJ1a4pec4Tqxwpec4Tqxwpec4Tqxwpec4Tqxwpec4Tqxwpec4Tqxwpec4Tqxwpec4Tqxwpec4Tqxwpec4Tqxwpec4Tqxwpec4Tqxwpec4Tqxwpec4Tqxwpec4Tqxwpec4Tqxwpec4Tqxwpec4Tqz4f+m1527fJyc9AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "for key, data in stuff.items():\n",
    "    baseline = data['base']['average_rate'].to_numpy()\n",
    "    stimulated = data['stim']['average_rate'].to_numpy()\n",
    "    plt.figure()\n",
    "    violinplot(baseline, stimulated)\n",
    "    plt.title(\"Average rate\")\n",
    "    plt.ylabel(\"spikes/s\")\n",
    "    plt.ylim(-0.2, 40)\n",
    "\n",
    "    plt.savefig(output_path / \"figures\" / f\"average_rate{key}.svg\", bbox_inches=\"tight\")\n",
    "    plt.savefig(output_path / \"figures\" / f\"average_rate{key}.png\", dpi=600, bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "U-test: U value 5256.0 p value 0.9990870864121681\n",
      "U-test: U value 1113.0 p value 0.8563387857160952\n",
      "U-test: U value 827.0 p value 0.8936946693232326\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for key, data in stuff.items():\n",
    "    baseline = data['base']['max_rate'].to_numpy()\n",
    "    stimulated = data['stim']['max_rate'].to_numpy()\n",
    "    plt.figure()\n",
    "    violinplot(baseline, stimulated)\n",
    "    plt.title(\"Max rate\")\n",
    "    plt.ylabel(\"spikes/s\")\n",
    "    # plt.ylim(-0.2, 45)\n",
    "\n",
    "    plt.savefig(output_path / \"figures\" / f\"max_rate{key}.svg\", bbox_inches=\"tight\")\n",
    "    plt.savefig(output_path / \"figures\" / f\"max_rate{key}.png\", dpi=600, bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "U-test: U value 5315.0 p value 0.8935072494346303\n",
      "U-test: U value 1123.0 p value 0.7987777816762969\n",
      "U-test: U value 879.0 p value 0.5399704510090971\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "for key, data in stuff.items():\n",
    "    baseline = data['base']['interspike_interval_cv'].to_numpy()\n",
    "    stimulated = data['stim']['interspike_interval_cv'].to_numpy()\n",
    "    plt.figure()\n",
    "    violinplot(baseline, stimulated)\n",
    "    plt.title(\"ISI CV\")\n",
    "    plt.ylabel(\"Coefficient of variation\")\n",
    "    # plt.ylim(0.9, 5)\n",
    "\n",
    "    plt.savefig(output_path / \"figures\" / f\"isi_cv{key}.svg\", bbox_inches=\"tight\")\n",
    "    plt.savefig(output_path / \"figures\" / f\"isi_cv{key}.png\", dpi=600, bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "U-test: U value 5512.0 p value 0.5587698160186371\n",
      "U-test: U value 1152.0 p value 0.6389141666384814\n",
      "U-test: U value 845.0 p value 0.764545672323149\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "for key, data in stuff.items():\n",
    "    baseline = data['base']['in_field_mean_rate'].to_numpy()\n",
    "    stimulated = data['stim']['in_field_mean_rate'].to_numpy()\n",
    "    plt.figure()\n",
    "    violinplot(baseline, stimulated)\n",
    "    plt.title(\"In-field rate\")\n",
    "    plt.ylabel(\"spikes/s\")\n",
    "    # plt.ylim(-0.1, 18)\n",
    "\n",
    "    plt.savefig(output_path / \"figures\" / f\"in_field_mean_rate{key}.svg\", bbox_inches=\"tight\")\n",
    "    plt.savefig(output_path / \"figures\" / f\"in_field_mean_rate{key}.png\", dpi=600, bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "U-test: U value 5346.0 p value 0.837723677011064\n",
      "U-test: U value 1139.0 p value 0.7090314211265186\n",
      "U-test: U value 797.0 p value 0.8936946693232326\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "for key, data in stuff.items():\n",
    "    baseline = data['base']['out_field_mean_rate'].to_numpy()\n",
    "    stimulated = data['stim']['out_field_mean_rate'].to_numpy()\n",
    "    plt.figure()\n",
    "    violinplot(baseline, stimulated)\n",
    "    plt.title(\"Out-of-field rate\")\n",
    "    plt.ylabel(\"spikes/s\")\n",
    "    # plt.ylim(-0.2, 8)\n",
    "\n",
    "    plt.savefig(output_path / \"figures\" / f\"out_field_mean_rate{key}.svg\", bbox_inches=\"tight\")\n",
    "    plt.savefig(output_path / \"figures\" / f\"out_field_mean_rate{key}.png\", dpi=600, bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "U-test: U value 5835.0 p value 0.18556878084894968\n",
      "U-test: U value 1018.0 p value 0.6075645264212683\n",
      "U-test: U value 983.0 p value 0.11611024526570707\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for key, data in stuff.items():\n",
    "    baseline = data['base']['burst_event_ratio'].to_numpy()\n",
    "    stimulated = data['stim']['burst_event_ratio'].to_numpy()\n",
    "    plt.figure()\n",
    "    violinplot(baseline, stimulated)\n",
    "    plt.title(\"Bursting ratio\")\n",
    "    plt.ylabel(\"\")\n",
    "    # plt.ylim(-0.02, 0.60)\n",
    "\n",
    "    plt.savefig(output_path / \"figures\" / f\"burst_event_ratio{key}.svg\", bbox_inches=\"tight\")\n",
    "    plt.savefig(output_path / \"figures\" / f\"burst_event_ratio{key}.png\", dpi=600, bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "U-test: U value 5445.0 p value 0.6662129955034535\n",
      "U-test: U value 1097.0 p value 0.9499188826627789\n",
      "U-test: U value 889.0 p value 0.4807998283550271\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for key, data in stuff.items():\n",
    "    baseline = data['base']['max_field_mean_rate'].to_numpy()\n",
    "    stimulated = data['stim']['max_field_mean_rate'].to_numpy()\n",
    "    plt.figure()\n",
    "    violinplot(baseline, stimulated)\n",
    "    plt.title(\"Mean rate of max field\")\n",
    "    plt.ylabel(\"(spikes/s)\")\n",
    "    # plt.ylim(-0.5,25)\n",
    "\n",
    "    plt.savefig(output_path / \"figures\" / f\"max_field_mean_rate{key}.svg\", bbox_inches=\"tight\")\n",
    "    plt.savefig(output_path / \"figures\" / f\"max_field_mean_rate{key}.png\", dpi=600, bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "U-test: U value 5912.0 p value 0.13361338521771\n",
      "U-test: U value 1033.0 p value 0.6871584526572116\n",
      "U-test: U value 998.0 p value 0.08734905208437223\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for key, data in stuff.items():\n",
    "    baseline = data['base']['bursty_spike_ratio'].to_numpy()\n",
    "    stimulated = data['stim']['bursty_spike_ratio'].to_numpy()\n",
    "    plt.figure()\n",
    "    violinplot(baseline, stimulated)\n",
    "    plt.title(\"ratio of spikes per burst\")\n",
    "    plt.ylabel(\"\")\n",
    "    # plt.ylim(-0.03,0.9)\n",
    "\n",
    "    plt.savefig(output_path / \"figures\" / f\"bursty_spike_ratio{key}.svg\", bbox_inches=\"tight\")\n",
    "    plt.savefig(output_path / \"figures\" / f\"bursty_spike_ratio{key}.png\", dpi=600, bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "U-test: U value 6794.0 p value 0.00043429512252855416\n",
      "U-test: U value 1500.0 p value 0.002360466792504703\n",
      "U-test: U value 1131.0 p value 0.0033326217809176804\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "for key, data in stuff.items():\n",
    "    baseline = data['base']['gridness'].to_numpy()\n",
    "    stimulated = data['stim']['gridness'].to_numpy()\n",
    "    plt.figure()\n",
    "    violinplot(baseline, stimulated)\n",
    "    plt.title(\"Gridness\")\n",
    "    plt.ylabel(\"Gridness\")\n",
    "    plt.ylim(-0.005, 1.5)\n",
    "\n",
    "    plt.savefig(output_path / \"figures\" / f\"gridness{key}.svg\", bbox_inches=\"tight\")\n",
    "    plt.savefig(output_path / \"figures\" / f\"gridness{key}.png\", dpi=600, bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "U-test: U value 6534.0 p value 0.003462885676336014\n",
      "U-test: U value 1440.0 p value 0.00939537597606729\n",
      "U-test: U value 1007.0 p value 0.07305394917377077\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 255x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for key, data in stuff.items():\n",
    "    baseline = data['base']['speed_score'].to_numpy()\n",
    "    stimulated = data['stim']['speed_score'].to_numpy()\n",
    "    plt.figure()\n",
    "    violinplot(baseline, stimulated)\n",
    "    plt.title(\"Speed score\")\n",
    "    plt.ylabel(\"Speed score\")\n",
    "    # plt.ylim(-0.1, 0.5)\n",
    "\n",
    "    plt.savefig(output_path / \"figures\" / f\"speed_score{key}.svg\", bbox_inches=\"tight\")\n",
    "    plt.savefig(output_path / \"figures\" / f\"speed_score{key}.png\", dpi=600, bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Register in Expipe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "action = project.require_action(\"comparisons-gridcells\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
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     "execution_count": 45,
     "metadata": {},
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   "source": [
    "copy_tree(output_path, str(action.data_path()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
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    "septum_mec.analysis.registration.store_notebook(action, \"20_comparisons_gridcells.ipynb\")"
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   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": []
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