{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Brain Observatory dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import scipy\n",
    "import pickle as pkl\n",
    "import ipywidgets as widgets\n",
    "from mpl_toolkits import mplot3d\n",
    "from scipy import sparse\n",
    "import sys\n",
    "sys.path.insert(0, '../model/')\n",
    "sys.path.insert(0, 'model')\n",
    "\n",
    "import collections\n",
    "collections.Callable = collections.abc.Callable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('dump.pkl', 'rb') as f:\n",
    "    gl = pkl.load(f)\n",
    "    for key in gl:\n",
    "        globals()[key] = gl[key]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('masks.pkl', 'rb') as f:\n",
    "    masks = pkl.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['__name__', '__doc__', '__package__', '__loader__', '__spec__', '__builtin__', '__builtins__', '_ih', '_oh', '_dh', 'In', 'Out', 'get_ipython', 'exit', 'quit', '_', '__', '___', 'sys', 'os', '__vsc_ipynb_file__', '_i', '_ii', '_iii', '_i1', 'f', '_i2', 'np', 'plt', 'pd', 'scipy', 'pkl', 'widgets', 'mplot3d', 'sparse', 'collections', '_i3', '_i4', '_i5', 'dill', 'gl', 'key', '_i6', '_i7', 'Axes3D', 'fig', 'ax', '_i8', 'ncomp_umap', '_i9', 'UMAP', '_i10', '_i11', '_i12', '_i13', '_i14', 'BrainObservatoryCache', 'pprint', 'boc', 'targeted_structures', '_i15', 'stim_info', 'exp_noise', 'exp_scenes', 'exp_gratings', '_i16', 'LocallySparseNoise', 'noise_data', '_i17', 'cont_ids_noise', 'cont_ids_scenes', 'cells_noise', 'cells_scenes', 'cell_ids', 'cells', 'specimen_ids', 'cells_by_specimen', '_17', '_i18', 'cont_ids_gratings', 'cells_gratings', '_i19', '_19', '_i20', '_20', '_i21', 'get_cell', 'get_noise_exp_for_cell', 'get_scene_exp_for_cell', 'get_grating_exp_for_cell', '_i22', 'exp_1', '_i23', 'NaturalScenes', '_i24', 'exp_1_', '_i25', '_i26', '_i27', 'resp_nat', '_i28', '_28', '_i29', 'ids_exp_1', '_i30', '_i31', 'first_cell_ids', '_i32', '_i33', '_i34', '_i35', 'masks', 'broken_exps', 'cell_id', 'exp_id', 'exp', 'cell_ids_exp', 'masks_for_exp', 'i', 'cell_id_', '_i36', 'roi_centers', '_i37', 'exp_conts', 'cells_by_exp', '_i38'])"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "globals().keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "with open('dump.pkl', 'wb') as f:\n",
    "    pickle.dump({k: globals()[k] for k in [\n",
    "        'boc', 'exp_noise', 'exp_scenes', 'exp_gratings', 'noise_data', 'cont_ids_noise', 'cont_ids_scenes', \n",
    "        'cells_noise', 'cells_scenes', 'cell_ids', 'cells', 'specimen_ids', 'cont_ids_gratings', 'cells_gratings', 'exp_1', 'exp_1_', 'resp_nat', 'ids_exp_1', \n",
    "        'first_cell_ids', 'broken_exps', 'cell_ids_exp', 'masks_for_exp', 'roi_centers', 'exp_conts', 'cells_by_exp',\n",
    "        'cells_by_exp_and_region', 'max_exp_id', 'cells_chosen', 'resp_gr', 'exp_ch_gratings', \n",
    "        'exp_ch_scenes', 'exp_ch_scenes_', 'embed', 'ch_cells_inds', 'resp_gr_flat',\n",
    "        'resp_nat', 'stim_table', 'stim_ori', 'stim_ph', 'stim_freq', 'embed_gr', 'embed_nat'\n",
    "        ]}, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "all targeted structures: ['VISal', 'VISam', 'VISl', 'VISp', 'VISpm', 'VISrl']\n"
     ]
    }
   ],
   "source": [
    "from allensdk.core.brain_observatory_cache import BrainObservatoryCache\n",
    "import pprint\n",
    "\n",
    "# This class uses a 'manifest' to keep track of downloaded data and metadata.  \n",
    "# All downloaded files will be stored relative to the directory holding the manifest\n",
    "# file.  If 'manifest_file' is a relative path (as it is below), it will be \n",
    "# saved relative to your working directory.  It can also be an absolute path.\n",
    "boc = BrainObservatoryCache()\n",
    "\n",
    "# Download a list of all targeted areas\n",
    "targeted_structures = boc.get_all_targeted_structures()\n",
    "print(\"all targeted structures: \" + str(targeted_structures))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "all cre lines:\n",
      "\n",
      "['Cux2-CreERT2',\n",
      " 'Emx1-IRES-Cre',\n",
      " 'Fezf2-CreER',\n",
      " 'Nr5a1-Cre',\n",
      " 'Ntsr1-Cre_GN220',\n",
      " 'Pvalb-IRES-Cre',\n",
      " 'Rbp4-Cre_KL100',\n",
      " 'Rorb-IRES2-Cre',\n",
      " 'Scnn1a-Tg3-Cre',\n",
      " 'Slc17a7-IRES2-Cre',\n",
      " 'Sst-IRES-Cre',\n",
      " 'Tlx3-Cre_PL56',\n",
      " 'Vip-IRES-Cre']\n"
     ]
    }
   ],
   "source": [
    "cre_lines = boc.get_all_cre_lines()\n",
    "print(\"all cre lines:\\n\")\n",
    "pprint.pprint(cre_lines)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Experiment with scenes: 456, with noise: 76\n",
      "{'acquisition_age_days': 98,\n",
      " 'cre_line': 'Cux2-CreERT2',\n",
      " 'donor_name': '225037',\n",
      " 'experiment_container_id': 511510699,\n",
      " 'fail_eye_tracking': True,\n",
      " 'id': 502974807,\n",
      " 'imaging_depth': 275,\n",
      " 'reporter_line': 'Ai93(TITL-GCaMP6f)',\n",
      " 'session_type': 'three_session_C',\n",
      " 'specimen_name': 'Cux2-CreERT2;Camk2a-tTA;Ai93-225037',\n",
      " 'targeted_structure': 'VISp'}\n",
      "{'acquisition_age_days': 124,\n",
      " 'cre_line': 'Slc17a7-IRES2-Cre',\n",
      " 'donor_name': '361636',\n",
      " 'experiment_container_id': 662358769,\n",
      " 'fail_eye_tracking': False,\n",
      " 'id': 663488086,\n",
      " 'imaging_depth': 175,\n",
      " 'reporter_line': 'Ai93(TITL-GCaMP6f)',\n",
      " 'session_type': 'three_session_B',\n",
      " 'specimen_name': 'Slc17a7-IRES2-Cre;Camk2a-tTA;Ai93-361636',\n",
      " 'targeted_structure': 'VISl'}\n"
     ]
    }
   ],
   "source": [
    "import allensdk.brain_observatory.stimulus_info as stim_info\n",
    "\n",
    "# pick one of the cux2 experiment containers\n",
    "# cux2_ec_id = cux2_ecs[-1]['id']\n",
    "\n",
    "exp_noise = boc.get_ophys_experiments(stimuli=[stim_info.LOCALLY_SPARSE_NOISE])\n",
    "exp_scenes = boc.get_ophys_experiments(stimuli=[stim_info.NATURAL_SCENES])\n",
    "exp_gratings = boc.get_ophys_experiments(stimuli=[stim_info.STATIC_GRATINGS])\n",
    "print(f\"Experiment with scenes: {len(exp_scenes)}, with noise: {len(exp_noise)}\")\n",
    "pprint.pprint(exp_noise[0])\n",
    "pprint.pprint(exp_scenes[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from allensdk.brain_observatory.locally_sparse_noise import LocallySparseNoise\n",
    "\n",
    "noise_data = np.array([LocallySparseNoise(exp['id']) for exp in exp_noise])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m/home/ennucore/dev/amgen/exp/Allen.ipynb Cell 10\u001b[0m in \u001b[0;36m<cell line: 3>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/ennucore/dev/amgen/exp/Allen.ipynb#ch0000009?line=0'>1</a>\u001b[0m cont_ids_noise \u001b[39m=\u001b[39m [exp[\u001b[39m'\u001b[39m\u001b[39mexperiment_container_id\u001b[39m\u001b[39m'\u001b[39m] \u001b[39mfor\u001b[39;00m exp \u001b[39min\u001b[39;00m exp_noise]\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/ennucore/dev/amgen/exp/Allen.ipynb#ch0000009?line=1'>2</a>\u001b[0m cont_ids_scenes \u001b[39m=\u001b[39m [exp[\u001b[39m'\u001b[39m\u001b[39mexperiment_container_id\u001b[39m\u001b[39m'\u001b[39m] \u001b[39mfor\u001b[39;00m exp \u001b[39min\u001b[39;00m exp_scenes]\n\u001b[0;32m----> <a href='vscode-notebook-cell:/home/ennucore/dev/amgen/exp/Allen.ipynb#ch0000009?line=2'>3</a>\u001b[0m cells_noise \u001b[39m=\u001b[39m boc\u001b[39m.\u001b[39;49mget_cell_specimens(experiment_container_ids\u001b[39m=\u001b[39;49mcont_ids_noise)\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/ennucore/dev/amgen/exp/Allen.ipynb#ch0000009?line=3'>4</a>\u001b[0m cells_scenes \u001b[39m=\u001b[39m boc\u001b[39m.\u001b[39mget_cell_specimens(experiment_container_ids\u001b[39m=\u001b[39mcont_ids_scenes)\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/ennucore/dev/amgen/exp/Allen.ipynb#ch0000009?line=4'>5</a>\u001b[0m cell_ids \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39marray(\u001b[39mlist\u001b[39m(\u001b[39mset\u001b[39m(cell[\u001b[39m'\u001b[39m\u001b[39mcell_specimen_id\u001b[39m\u001b[39m'\u001b[39m] \u001b[39mfor\u001b[39;00m cell \u001b[39min\u001b[39;00m cells_noise)\u001b[39m.\u001b[39mintersection(\u001b[39mset\u001b[39m(cell[\u001b[39m'\u001b[39m\u001b[39mcell_specimen_id\u001b[39m\u001b[39m'\u001b[39m] \u001b[39mfor\u001b[39;00m cell \u001b[39min\u001b[39;00m cells_scenes))))\n",
      "File \u001b[0;32m/usr/lib/python3.10/site-packages/allensdk-2.13.4-py3.10.egg/allensdk/core/brain_observatory_cache.py:435\u001b[0m, in \u001b[0;36mBrainObservatoryCache.get_cell_specimens\u001b[0;34m(self, file_name, ids, experiment_container_ids, include_failed, simple, filters)\u001b[0m\n\u001b[1;32m    394\u001b[0m \u001b[39m\"\"\" Return cell specimens that have certain properies.\u001b[39;00m\n\u001b[1;32m    395\u001b[0m \n\u001b[1;32m    396\u001b[0m \u001b[39mParameters\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    430\u001b[0m \u001b[39mlist of dictionaries\u001b[39;00m\n\u001b[1;32m    431\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m    433\u001b[0m file_name \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mget_cache_path(file_name, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mCELL_SPECIMENS_KEY)\n\u001b[0;32m--> 435\u001b[0m cell_specimens \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mapi\u001b[39m.\u001b[39;49mget_cell_metrics(path\u001b[39m=\u001b[39;49mfile_name,\n\u001b[1;32m    436\u001b[0m                                            strategy\u001b[39m=\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39mlazy\u001b[39;49m\u001b[39m'\u001b[39;49m,\n\u001b[1;32m    437\u001b[0m                                            pre\u001b[39m=\u001b[39;49m \u001b[39mlambda\u001b[39;49;00m x: [y \u001b[39mfor\u001b[39;49;00m y \u001b[39min\u001b[39;49;00m x],\n\u001b[1;32m    438\u001b[0m                                            \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mCache\u001b[39m.\u001b[39;49mcache_json())\n\u001b[1;32m    440\u001b[0m cell_specimens \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mapi\u001b[39m.\u001b[39mfilter_cell_specimens(cell_specimens,\n\u001b[1;32m    441\u001b[0m                                                 ids\u001b[39m=\u001b[39mids,\n\u001b[1;32m    442\u001b[0m                                                 experiment_container_ids\u001b[39m=\u001b[39mexperiment_container_ids,\n\u001b[1;32m    443\u001b[0m                                                 include_failed\u001b[39m=\u001b[39minclude_failed,\n\u001b[1;32m    444\u001b[0m                                                 filters\u001b[39m=\u001b[39mfilters)\n\u001b[1;32m    446\u001b[0m \u001b[39m# drop the thumbnail columns\u001b[39;00m\n",
      "File \u001b[0;32m/usr/lib/python3.10/site-packages/allensdk-2.13.4-py3.10.egg/allensdk/api/warehouse_cache/cache.py:661\u001b[0m, in \u001b[0;36mcacheable.<locals>.decor.<locals>.w\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    658\u001b[0m \u001b[39mif\u001b[39;00m decor\u001b[39m.\u001b[39mpost \u001b[39mand\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39m'\u001b[39m\u001b[39mpost in kwargs\u001b[39m\u001b[39m'\u001b[39m:\n\u001b[1;32m    659\u001b[0m     kwargs[\u001b[39m'\u001b[39m\u001b[39mpost\u001b[39m\u001b[39m'\u001b[39m] \u001b[39m=\u001b[39m decor\u001b[39m.\u001b[39mpost\n\u001b[0;32m--> 661\u001b[0m result \u001b[39m=\u001b[39m Cache\u001b[39m.\u001b[39;49mcacher(func,\n\u001b[1;32m    662\u001b[0m                       \u001b[39m*\u001b[39;49margs,\n\u001b[1;32m    663\u001b[0m                       \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m    664\u001b[0m \u001b[39mreturn\u001b[39;00m result\n",
      "File \u001b[0;32m/usr/lib/python3.10/site-packages/allensdk-2.13.4-py3.10.egg/allensdk/api/warehouse_cache/cache.py:390\u001b[0m, in \u001b[0;36mCache.cacher\u001b[0;34m(fn, *args, **kwargs)\u001b[0m\n\u001b[1;32m    387\u001b[0m         data \u001b[39m=\u001b[39m fn(\u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n\u001b[1;32m    389\u001b[0m \u001b[39mif\u001b[39;00m reader:\n\u001b[0;32m--> 390\u001b[0m     data \u001b[39m=\u001b[39m reader(path)\n\u001b[1;32m    392\u001b[0m \u001b[39m# Note: don't provide post if fn or reader doesn't return data\u001b[39;00m\n\u001b[1;32m    393\u001b[0m \u001b[39mif\u001b[39;00m post:\n",
      "File \u001b[0;32m/usr/lib/python3.10/site-packages/allensdk-2.13.4-py3.10.egg/allensdk/core/json_utilities.py:60\u001b[0m, in \u001b[0;36mread\u001b[0;34m(file_name)\u001b[0m\n\u001b[1;32m     58\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mlen\u001b[39m(json_string)\u001b[39m==\u001b[39m\u001b[39m0\u001b[39m: \u001b[39m# If empty file\u001b[39;00m\n\u001b[1;32m     59\u001b[0m         json_string\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m{}\u001b[39;00m\u001b[39m'\u001b[39m \u001b[39m# Create a string that will give an empty JSON object instead of an error\u001b[39;00m\n\u001b[0;32m---> 60\u001b[0m     json_obj \u001b[39m=\u001b[39m json\u001b[39m.\u001b[39;49mloads(json_string)\n\u001b[1;32m     62\u001b[0m \u001b[39mreturn\u001b[39;00m json_obj\n",
      "File \u001b[0;32m/usr/lib/python3.10/site-packages/simplejson/__init__.py:525\u001b[0m, in \u001b[0;36mloads\u001b[0;34m(s, encoding, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, use_decimal, **kw)\u001b[0m\n\u001b[1;32m    477\u001b[0m \u001b[39m\"\"\"Deserialize ``s`` (a ``str`` or ``unicode`` instance containing a JSON\u001b[39;00m\n\u001b[1;32m    478\u001b[0m \u001b[39mdocument) to a Python object.\u001b[39;00m\n\u001b[1;32m    479\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    519\u001b[0m \n\u001b[1;32m    520\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m    521\u001b[0m \u001b[39mif\u001b[39;00m (\u001b[39mcls\u001b[39m \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m encoding \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m object_hook \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m\n\u001b[1;32m    522\u001b[0m         parse_int \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m parse_float \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m\n\u001b[1;32m    523\u001b[0m         parse_constant \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m object_pairs_hook \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m    524\u001b[0m         \u001b[39mand\u001b[39;00m \u001b[39mnot\u001b[39;00m use_decimal \u001b[39mand\u001b[39;00m \u001b[39mnot\u001b[39;00m kw):\n\u001b[0;32m--> 525\u001b[0m     \u001b[39mreturn\u001b[39;00m _default_decoder\u001b[39m.\u001b[39;49mdecode(s)\n\u001b[1;32m    526\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mcls\u001b[39m \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m    527\u001b[0m     \u001b[39mcls\u001b[39m \u001b[39m=\u001b[39m JSONDecoder\n",
      "File \u001b[0;32m/usr/lib/python3.10/site-packages/simplejson/decoder.py:370\u001b[0m, in \u001b[0;36mJSONDecoder.decode\u001b[0;34m(self, s, _w, _PY3)\u001b[0m\n\u001b[1;32m    368\u001b[0m \u001b[39mif\u001b[39;00m _PY3 \u001b[39mand\u001b[39;00m \u001b[39misinstance\u001b[39m(s, \u001b[39mbytes\u001b[39m):\n\u001b[1;32m    369\u001b[0m     s \u001b[39m=\u001b[39m \u001b[39mstr\u001b[39m(s, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mencoding)\n\u001b[0;32m--> 370\u001b[0m obj, end \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mraw_decode(s)\n\u001b[1;32m    371\u001b[0m end \u001b[39m=\u001b[39m _w(s, end)\u001b[39m.\u001b[39mend()\n\u001b[1;32m    372\u001b[0m \u001b[39mif\u001b[39;00m end \u001b[39m!=\u001b[39m \u001b[39mlen\u001b[39m(s):\n",
      "File \u001b[0;32m/usr/lib/python3.10/site-packages/simplejson/decoder.py:400\u001b[0m, in \u001b[0;36mJSONDecoder.raw_decode\u001b[0;34m(self, s, idx, _w, _PY3)\u001b[0m\n\u001b[1;32m    398\u001b[0m     \u001b[39melif\u001b[39;00m ord0 \u001b[39m==\u001b[39m \u001b[39m0xef\u001b[39m \u001b[39mand\u001b[39;00m s[idx:idx \u001b[39m+\u001b[39m \u001b[39m3\u001b[39m] \u001b[39m==\u001b[39m \u001b[39m'\u001b[39m\u001b[39m\\xef\u001b[39;00m\u001b[39m\\xbb\u001b[39;00m\u001b[39m\\xbf\u001b[39;00m\u001b[39m'\u001b[39m:\n\u001b[1;32m    399\u001b[0m         idx \u001b[39m+\u001b[39m\u001b[39m=\u001b[39m \u001b[39m3\u001b[39m\n\u001b[0;32m--> 400\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mscan_once(s, idx\u001b[39m=\u001b[39;49m_w(s, idx)\u001b[39m.\u001b[39;49mend())\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "cont_ids_noise = [exp['experiment_container_id'] for exp in exp_noise]\n",
    "cont_ids_scenes = [exp['experiment_container_id'] for exp in exp_scenes]\n",
    "cells_noise = boc.get_cell_specimens(experiment_container_ids=cont_ids_noise)\n",
    "cells_scenes = boc.get_cell_specimens(experiment_container_ids=cont_ids_scenes)\n",
    "cell_ids = np.array(list(set(cell['cell_specimen_id'] for cell in cells_noise).intersection(set(cell['cell_specimen_id'] for cell in cells_scenes))))\n",
    "cells = [c for c in cells_noise if c['cell_specimen_id'] in cell_ids]\n",
    "specimen_ids = list(sorted(set([c['cell_specimen_id'] for c in cells])))\n",
    "cells_by_specimen = [[c for c in cells if c['cell_specimen_id'] == specimen_id] for specimen_id in specimen_ids]\n",
    "len(cells)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "cont_ids_gratings = [exp['experiment_container_id'] for exp in exp_gratings]\n",
    "cells_gratings = boc.get_cell_specimens(experiment_container_ids=cont_ids_gratings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(76, 456, 17546, 63251, 17546, 17546)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(exp_noise), len(exp_scenes), len(cells_noise), len(cells_scenes), len(set(cell['cell_specimen_id'] for cell in cells_noise).intersection(set(cell['cell_specimen_id'] for cell in cells_scenes))), len(cell_ids)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(76, 456, 456, 76)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(cont_ids_noise), len(cont_ids_scenes), len(cont_ids_gratings), len(set(cont_ids_noise).intersection(set(cont_ids_scenes).intersection(set(cont_ids_gratings))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['all_stim', 'area', 'cell_specimen_id', 'donor_full_genotype', 'dsi_dg', 'experiment_container_id', 'failed_experiment_container', 'g_dsi_dg', 'g_osi_dg', 'g_osi_sg', 'image_sel_ns', 'imaging_depth', 'osi_dg', 'osi_sg', 'p_dg', 'p_ns', 'p_run_mod_dg', 'p_run_mod_ns', 'p_run_mod_sg', 'p_sg', 'peak_dff_dg', 'peak_dff_ns', 'peak_dff_sg', 'pref_dir_dg', 'pref_image_ns', 'pref_ori_sg', 'pref_phase_sg', 'pref_sf_sg', 'pref_tf_dg', 'reliability_dg', 'reliability_nm1_a', 'reliability_nm1_b', 'reliability_nm1_c', 'reliability_nm2', 'reliability_nm3', 'reliability_ns', 'reliability_sg', 'rf_area_off_lsn', 'rf_area_on_lsn', 'rf_center_off_x_lsn', 'rf_center_off_y_lsn', 'rf_center_on_x_lsn', 'rf_center_on_y_lsn', 'rf_chi2_lsn', 'rf_distance_lsn', 'rf_overlap_index_lsn', 'run_mod_dg', 'run_mod_ns', 'run_mod_sg', 'sfdi_sg', 'specimen_id', 'tfdi_dg', 'time_to_peak_ns', 'time_to_peak_sg', 'tld1_id', 'tld1_name', 'tld2_id', 'tld2_name', 'tlr1_id', 'tlr1_name'])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cells_noise[0].keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "get_cell = lambda cell_id: [c for c in cells if c['cell_specimen_id'] == cell_id][0]\n",
    "get_noise_exp_for_cell = lambda cell_id: exp_noise[cont_ids_noise.index(get_cell(cell_id)['experiment_container_id'])]\n",
    "get_scene_exp_for_cell = lambda cell_id: exp_scenes[cont_ids_scenes.index(get_cell(cell_id)['experiment_container_id'])]\n",
    "get_grating_exp_for_cell = lambda cell_id: exp_gratings[cont_ids_gratings.index(get_cell(cell_id)['experiment_container_id'])]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get receptive field centers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "exp_1 = boc.get_ophys_experiment_data(get_noise_exp_for_cell(cell_ids[0])['id'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.where(cell_ids == cell_ids[0])[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "first_cell_ids = [cell['cell_specimen_id'] for cell in cells if cell['experiment_container_id'] == cells[0]['experiment_container_id']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(254, 254)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_cell_ids = list(set(exp_1.get_cell_specimen_ids()).intersection(cell_ids))\n",
    "len(first_cell_ids), len(exp_1.get_cell_specimen_ids())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "exp_conts = list(set([cell['experiment_container_id'] for cell in cells]))\n",
    "cells_by_exp = [[c for c in cells if c['experiment_container_id'] == exp_cont] for exp_cont in exp_conts]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Cell specimen not found (589168640 is not in list)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "File \u001b[0;32m/usr/lib/python3.10/site-packages/allensdk-2.13.4-py3.10.egg/allensdk/core/brain_observatory_nwb_data_set.py:416\u001b[0m, in \u001b[0;36mBrainObservatoryNwbDataSet.get_cell_specimen_indices\u001b[0;34m(self, cell_specimen_ids)\u001b[0m\n\u001b[1;32m    415\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 416\u001b[0m     inds \u001b[39m=\u001b[39m [\u001b[39mlist\u001b[39m(all_cell_specimen_ids)\u001b[39m.\u001b[39mindex(i)\n\u001b[1;32m    417\u001b[0m             \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m cell_specimen_ids]\n\u001b[1;32m    418\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mValueError\u001b[39;00m \u001b[39mas\u001b[39;00m e:\n",
      "File \u001b[0;32m/usr/lib/python3.10/site-packages/allensdk-2.13.4-py3.10.egg/allensdk/core/brain_observatory_nwb_data_set.py:416\u001b[0m, in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    415\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 416\u001b[0m     inds \u001b[39m=\u001b[39m [\u001b[39mlist\u001b[39;49m(all_cell_specimen_ids)\u001b[39m.\u001b[39;49mindex(i)\n\u001b[1;32m    417\u001b[0m             \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m cell_specimen_ids]\n\u001b[1;32m    418\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mValueError\u001b[39;00m \u001b[39mas\u001b[39;00m e:\n",
      "\u001b[0;31mValueError\u001b[0m: 589168640 is not in list",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m/home/ennucore/dev/amgen/exp/Allen.ipynb Cell 21\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> <a href='vscode-notebook-cell:/home/ennucore/dev/amgen/exp/Allen.ipynb#ch0000020?line=0'>1</a>\u001b[0m first_masks \u001b[39m=\u001b[39m exp_1\u001b[39m.\u001b[39;49mget_roi_mask(cell_specimen_ids\u001b[39m=\u001b[39;49mfirst_cell_ids)\n",
      "File \u001b[0;32m/usr/lib/python3.10/site-packages/allensdk-2.13.4-py3.10.egg/allensdk/core/brain_observatory_nwb_data_set.py:707\u001b[0m, in \u001b[0;36mBrainObservatoryNwbDataSet.get_roi_mask\u001b[0;34m(self, cell_specimen_ids)\u001b[0m\n\u001b[1;32m    705\u001b[0m     inds \u001b[39m=\u001b[39m \u001b[39mrange\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mnumber_of_cells)\n\u001b[1;32m    706\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m--> 707\u001b[0m     inds \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mget_cell_specimen_indices(cell_specimen_ids)\n\u001b[1;32m    709\u001b[0m roi_array \u001b[39m=\u001b[39m []\n\u001b[1;32m    710\u001b[0m \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m inds:\n",
      "File \u001b[0;32m/usr/lib/python3.10/site-packages/allensdk-2.13.4-py3.10.egg/allensdk/core/brain_observatory_nwb_data_set.py:419\u001b[0m, in \u001b[0;36mBrainObservatoryNwbDataSet.get_cell_specimen_indices\u001b[0;34m(self, cell_specimen_ids)\u001b[0m\n\u001b[1;32m    416\u001b[0m     inds \u001b[39m=\u001b[39m [\u001b[39mlist\u001b[39m(all_cell_specimen_ids)\u001b[39m.\u001b[39mindex(i)\n\u001b[1;32m    417\u001b[0m             \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m cell_specimen_ids]\n\u001b[1;32m    418\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mValueError\u001b[39;00m \u001b[39mas\u001b[39;00m e:\n\u001b[0;32m--> 419\u001b[0m     \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\u001b[39m\"\u001b[39m\u001b[39mCell specimen not found (\u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m)\u001b[39m\u001b[39m\"\u001b[39m \u001b[39m%\u001b[39m \u001b[39mstr\u001b[39m(e))\n\u001b[1;32m    421\u001b[0m \u001b[39mreturn\u001b[39;00m inds\n",
      "\u001b[0;31mValueError\u001b[0m: Cell specimen not found (589168640 is not in list)"
     ]
    }
   ],
   "source": [
    "first_masks = exp_1.get_roi_mask(cell_specimen_ids=first_cell_ids)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fef273c77c0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(first_masks[199].get_mask_plane())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-08-02 22:22:11,323 allensdk.api.api.retrieve_file_over_http INFO     Downloading URL: http://api.brain-map.org/api/v2/well_known_file_download/514427284\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m/home/ennucore/dev/amgen/exp/Allen.ipynb Cell 23\u001b[0m in \u001b[0;36m<cell line: 3>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     <a href='vscode-notebook-cell:/home/ennucore/dev/amgen/exp/Allen.ipynb#ch0000018?line=11'>12</a>\u001b[0m     \u001b[39mcontinue\u001b[39;00m\n\u001b[1;32m     <a href='vscode-notebook-cell:/home/ennucore/dev/amgen/exp/Allen.ipynb#ch0000018?line=12'>13</a>\u001b[0m cell_ids_exp \u001b[39m=\u001b[39m exp\u001b[39m.\u001b[39mget_cell_specimen_ids()\n\u001b[0;32m---> <a href='vscode-notebook-cell:/home/ennucore/dev/amgen/exp/Allen.ipynb#ch0000018?line=13'>14</a>\u001b[0m masks_for_exp \u001b[39m=\u001b[39m exp\u001b[39m.\u001b[39;49mget_roi_mask(cell_specimen_ids\u001b[39m=\u001b[39;49mcell_ids_exp)\n\u001b[1;32m     <a href='vscode-notebook-cell:/home/ennucore/dev/amgen/exp/Allen.ipynb#ch0000018?line=14'>15</a>\u001b[0m \u001b[39mfor\u001b[39;00m i, cell_id_ \u001b[39min\u001b[39;00m \u001b[39menumerate\u001b[39m(cell_ids_exp):\n\u001b[1;32m     <a href='vscode-notebook-cell:/home/ennucore/dev/amgen/exp/Allen.ipynb#ch0000018?line=15'>16</a>\u001b[0m     masks[cell_id_] \u001b[39m=\u001b[39m masks_for_exp[i]\u001b[39m.\u001b[39mget_mask_plane()\n",
      "File \u001b[0;32m/usr/lib/python3.10/site-packages/allensdk-2.13.4-py3.10.egg/allensdk/core/brain_observatory_nwb_data_set.py:712\u001b[0m, in \u001b[0;36mBrainObservatoryNwbDataSet.get_roi_mask\u001b[0;34m(self, cell_specimen_ids)\u001b[0m\n\u001b[1;32m    710\u001b[0m \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m inds:\n\u001b[1;32m    711\u001b[0m     v \u001b[39m=\u001b[39m roi_list[i]\n\u001b[0;32m--> 712\u001b[0m     roi_mask \u001b[39m=\u001b[39m mask_loc[v][\u001b[39m\"\u001b[39;49m\u001b[39mimg_mask\u001b[39;49m\u001b[39m\"\u001b[39;49m][()]\n\u001b[1;32m    713\u001b[0m     m \u001b[39m=\u001b[39m roi\u001b[39m.\u001b[39mcreate_roi_mask(roi_mask\u001b[39m.\u001b[39mshape[\u001b[39m1\u001b[39m], roi_mask\u001b[39m.\u001b[39mshape[\u001b[39m0\u001b[39m],\n\u001b[1;32m    714\u001b[0m                             [\u001b[39m0\u001b[39m, \u001b[39m0\u001b[39m, \u001b[39m0\u001b[39m, \u001b[39m0\u001b[39m], roi_mask\u001b[39m=\u001b[39mroi_mask, label\u001b[39m=\u001b[39mv)\n\u001b[1;32m    715\u001b[0m     roi_array\u001b[39m.\u001b[39mappend(m)\n",
      "File \u001b[0;32mh5py/_objects.pyx:54\u001b[0m, in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32mh5py/_objects.pyx:55\u001b[0m, in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32m/usr/lib/python3.10/site-packages/h5py/_hl/dataset.py:741\u001b[0m, in \u001b[0;36mDataset.__getitem__\u001b[0;34m(self, args, new_dtype)\u001b[0m\n\u001b[1;32m    739\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_fast_read_ok \u001b[39mand\u001b[39;00m (new_dtype \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m):\n\u001b[1;32m    740\u001b[0m     \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 741\u001b[0m         \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_fast_reader\u001b[39m.\u001b[39;49mread(args)\n\u001b[1;32m    742\u001b[0m     \u001b[39mexcept\u001b[39;00m \u001b[39mTypeError\u001b[39;00m:\n\u001b[1;32m    743\u001b[0m         \u001b[39mpass\u001b[39;00m  \u001b[39m# Fall back to Python read pathway below\u001b[39;00m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "masks = dict()\n",
    "broken_exps = []\n",
    "for cell_id in cell_ids:\n",
    "    if masks.get(cell_id) is None:\n",
    "        exp_id = get_noise_exp_for_cell(cell_id)['id']\n",
    "        if exp_id in broken_exps:\n",
    "            continue\n",
    "        try:\n",
    "            exp = boc.get_ophys_experiment_data(exp_id)\n",
    "        except:\n",
    "            broken_exps.append(exp_id)\n",
    "            continue\n",
    "        cell_ids_exp = exp.get_cell_specimen_ids()\n",
    "        masks_for_exp = exp.get_roi_mask(cell_specimen_ids=cell_ids_exp)\n",
    "        for i, cell_id_ in enumerate(cell_ids_exp):\n",
    "            masks[cell_id_] = masks_for_exp[i].get_mask_plane()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "with open('masks.pkl', 'wb') as f:\n",
    "    pickle.dump(masks, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6264"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(masks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "42"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exp_cont_ids_masks = list(set([get_cell(k)['experiment_container_id'] for k in masks]))\n",
    "len(exp_cont_ids_masks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "roi_centers = {cell_id: np.unravel_index(np.argmax(masks[cell_id], axis=None), masks[cell_id].shape) for cell_id in masks}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fef260a9c90>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "roi_cent_values = np.array([roi_centers[k] for k in first_cell_ids])\n",
    "plt.scatter(roi_cent_values[:, 0], roi_cent_values[:, 1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(254, 254, 17546, 17546, 254)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(first_cell_ids), len(roi_cent_values), len(cell_ids), len(cells), len(exp_1.get_cell_specimen_ids())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Split cells into groups**\n",
    "\n",
    "Probably take regions with high concentrations and work only with them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "s = 75\n",
    "s_x, s_y = masks[cell_ids[0]].shape[0] // s + 1, masks[cell_ids[0]].shape[1] // s + 1\n",
    "# grid = np.array([[x, y] for x in np.arange(0, masks[cell_ids[0]].shape[0], s) for y in np.arange(0, masks[cell_ids[0]].shape[1], s)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "cells_by_exp_and_region = [[[[] for _ in range(s_y)] for _ in range(s_x)] for cont_id in exp_cont_ids_masks]\n",
    "for i, cell in enumerate(cells):\n",
    "    if cell['cell_specimen_id'] not in masks:\n",
    "        continue\n",
    "    x, y = roi_centers[cell['cell_specimen_id']]\n",
    "    exp_id_cell = cell['experiment_container_id']\n",
    "    exp_id_cell = exp_cont_ids_masks.index(exp_id_cell)\n",
    "    cells_by_exp_and_region[exp_id_cell][x // s][y // s].append(cell)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(16, 16)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max_cells_exp_i = np.argmax([np.max([len(cells_by_exp_and_region[i][x][y]) for x in range(s_x) for y in range(s_y)]) for i in range(len(exp_cont_ids_masks))])\n",
    "max_exp_id = exp_cont_ids_masks[max_cells_exp_i]\n",
    "chosen_i, chosen_j = np.unravel_index(np.argmax([[len(cells_by_exp_and_region[max_cells_exp_i][x][y]) for x in range(s_x) for y in range(s_y)]]), [s_x, s_y])\n",
    "cells_chosen = cells_by_exp_and_region[max_cells_exp_i][chosen_i][chosen_j]\n",
    "np.max([len(cells_by_exp_and_region[max_cells_exp_i][x][y]) for x in range(s_x) for y in range(s_y)]), len(cells_chosen)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([100, 100]), 21)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_cells_first = [sum(x <= roi_centers[k][0] < x + s and y <= roi_centers[k][1] < y + s for k in first_cell_ids if k in roi_centers) for x, y in grid]\n",
    "i_max = np.argmax(num_cells_first)\n",
    "grid[i_max], num_cells_first[i_max]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "x, y = grid[i_max]\n",
    "cells_1 = [cell_id for cell_id in first_cell_ids if x <= roi_centers[cell_id][0] < x + s and y <= roi_centers[cell_id][1] < y + s]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Static gratings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "from allensdk.brain_observatory.static_gratings import StaticGratings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "exp_ch_gratings = exp_gratings[cont_ids_gratings.index(max_exp_id)]\n",
    "exp_ch_gratings = boc.get_ophys_experiment_data(exp_ch_gratings['id'])\n",
    "exp_ch_gratings_ = StaticGratings(exp_ch_gratings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ch_cells_inds = exp_ch_gratings.get_cell_specimen_indices([c['cell_specimen_id'] for c in cells_chosen if c['cell_specimen_id'] in exp_ch_gratings.get_cell_specimen_ids()])\n",
    "len(ch_cells_inds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "resp_gr = exp_ch_gratings_.get_response()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(6, 6, 4, 360, 3)"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resp_gr.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[310, 8, 246, 269, 272, 118, 337, 356, 120, 273, 3, 45]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ch_cells_inds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9d04e18ae1db421c8e3fef87772a9ae7",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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' width=864.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(4, 3, figsize=(12, 13))\n",
    "fig.tight_layout(w_pad=2)\n",
    "for i, ax in enumerate(axs.flatten()):\n",
    "    ax.imshow(resp_gr[:, :, :, i, 0].mean(axis=0), extent=(0, 360, 0, 180), aspect=2)\n",
    "    ax.set(xlabel=\"phase\", ylabel=\"orientation\", title=f\"Unit {i}\")\n",
    "# plt.imshow(resp_gr[:, :, :, 0, 0].mean(axis=2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((4, 6, 6, 12), (144, 12))"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resp_gr_ = np.array([resp_gr[:, :, :, i, 0] for i in ch_cells_inds]).swapaxes(0, 3)\n",
    "resp_gr_flat = resp_gr_.reshape((-1, resp_gr_.shape[-1]))\n",
    "resp_gr_.shape, resp_gr_flat.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "orientation             150.00\n",
       "spatial_frequency         0.32\n",
       "phase                     0.75\n",
       "start                113616.00\n",
       "end                  113623.00\n",
       "dtype: float64"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exp_ch_gratings_.stim_table.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "stim_table = np.array([[[(ori, freq, ph) for ph in np.linspace(0, 0.75, 6)] for freq in np.linspace(0, 0.32, 6)] for ori in np.linspace(0, 150, 4)]).reshape((-1, 3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(121, 12)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nan_filt = ~np.isnan(resp_gr_flat).any(axis=1)\n",
    "stim_ori, stim_ph, stim_freq = stim_table[nan_filt, 0], stim_table[nan_filt, 2], stim_table[nan_filt, 1]\n",
    "resp_gr_flat = resp_gr_flat[nan_filt, :]\n",
    "resp_gr_flat.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get activity for natural images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "exp_ch_scenes = exp_scenes[cont_ids_scenes.index(max_exp_id)]\n",
    "exp_ch_scenes = boc.get_ophys_experiment_data(exp_ch_scenes['id'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from allensdk.brain_observatory.natural_scenes import NaturalScenes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "exp_ch_scenes_ = NaturalScenes(exp_ch_scenes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "resp_nat = exp_ch_scenes_.get_response()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(119, 360, 3)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resp_nat.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(exp_ch_scenes.get_cell_specimen_ids() == exp_ch_gratings.get_cell_specimen_ids()).all()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(11, 21)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ids_exp_1 = exp_1.get_cell_specimen_ids()\n",
    "cells_1_inds = [i for i in range(len(ids_exp_1)) if ids_exp_1[i] in cells_1]\n",
    "len(cells_1_inds), len(cells_1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(119, 12)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "activity_1 = np.array([resp_nat[:, i, 0] for i in ch_cells_inds]).swapaxes(0, 1)\n",
    "activity_1.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### UMAP and stuff"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3.10/site-packages/numba/core/cpu.py:97: UserWarning: Numba extension module 'awkward._connect._numba' failed to load due to 'AttributeError(module 'setuptools' has no attribute 'extern')'.\n",
      "  numba.core.entrypoints.init_all()\n"
     ]
    }
   ],
   "source": [
    "from umap import UMAP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "ncomp_umap = 4\n",
    "embed = UMAP(n_components=ncomp_umap, n_neighbors=60, metric='euclidean').fit_transform(np.concatenate((activity_1, resp_gr_flat)))\n",
    "embed_nat, embed_gr = embed[:len(activity_1), :], embed[len(activity_1):, :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "embed_nat, embed_gr = embed[:len(activity_1), :], embed[len(activity_1):, :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "df41ebbc089842b1be9cc9a778290f17",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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width=1440.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mpl_toolkits import mplot3d\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "\n",
    "%matplotlib inline\n",
    "%matplotlib widget\n",
    "\n",
    "# x, y, z, u = embed[:,0], embed[:,1], embed[:,2], embed[:,3]    \n",
    "\n",
    "fig, ax = plt.subplots(1, 1, figsize=(20, 10))\n",
    "# ax.scatter3D(x, y, z, c=np.array([param_corr[:, 0] / 180, [0] * param_corr.shape[0], param_corr[:, 1] / 360]).swapaxes(0, 1))\n",
    "ax = fig.add_subplot(1, 2, 1, projection='3d')\n",
    "ax.scatter3D(embed_gr[:,0], embed_gr[:,1], embed_gr[:,2], c=stim_freq)\n",
    "ax.set(xlabel=\"U0\", ylabel=\"U1\", zlabel=\"U2\", xticks=[], yticks=[], zticks=[])\n",
    "ax = fig.add_subplot(1, 2, 2, projection='3d')\n",
    "ax.scatter3D(embed[:,0], embed[:,1], embed[:,2], c=[1] * len(activity_1) + list(0 * stim_ph))\n",
    "ax.set(xlabel=\"U0\", ylabel=\"U1\", zlabel=\"U2\", xticks=[], yticks=[], zticks=[])\n",
    "# ax = fig.add_subplot(2, 2, 3, projection='3d')\n",
    "# ax.scatter3D(x, y, u, c=param_corr[:, 0], cmap=\"hsv\")\n",
    "# ax.set(xlabel=\"U0\", ylabel=\"U1\", zlabel=\"U3\", xticks=[], yticks=[], zticks=[])\n",
    "# ax = fig.add_subplot(2, 2, 4, projection='3d')\n",
    "# ax.scatter3D(x, y, u, c=param_corr[:, 1], cmap=\"hsv\")\n",
    "# ax.set(xlabel=\"U0\", ylabel=\"U1\", zlabel=\"U3\", xticks=[], yticks=[], zticks=[])\n",
    "fig.suptitle('UMAP 3D')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Persistence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from persistence import persistence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(2, 3, figsize=(10, 10))\n",
    "fig.tight_layout(w_pad=3)\n",
    "ax = ax.flatten()\n",
    "ax[0].set_title('Persistence for gratings + natural scenes')\n",
    "persistence(embed, ax=ax[0])\n",
    "ax[1].set_title('Persistence for gratings')\n",
    "persistence(embed_gr, ax=ax[1])\n",
    "ax[2].set_title('Persistence for natural scenes')\n",
    "persistence(embed_nat, ax=ax[2])\n",
    "ax[3].set_title('Persistence for natural scenes, coeff=3')\n",
    "persistence(embed_nat, coeff=3, ax=ax[3])\n",
    "ax[4].set_title('Persistence for natural scenes, homdim=2')\n",
    "persistence(embed_nat, homdim=2, ax=ax[4])\n",
    "ax[5].set_title('Persistence for gratings, homdim=2')\n",
    "persistence(embed_gr, homdim=2, ax=ax[5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title('Persistence for gratings')\n",
    "persistence(embed_gr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title('Persistence for natural scenes')\n",
    "persistence(embed_nat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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X+v7ca/ueVx4xvf766zqP8iv/OBowYACuX7+OH3/8Efv27cO6deuwbNkyrF69WuM2BXOr3If//Oc/Oq/l6vq3X5vCwkIUFhbW2k8sFuv8A6VSaGgounTpgm+//ZZhSLqFhoZCEAS0aNHioT7IAaBXr17o1asXFi5ciM2bN+PZZ5/Fli1bavwHGxAQgJdeegkvvfQSsrKy0LVrVyxcuFAdhroCIjQ0FOfOncOjjz5a5xCpSePGjeHh4YE///yzxn6hoaEoLCw0yj1RlZo1awalUonk5GS0a9dO3Z6ZmYnc3Fw0a9bMaNvSJT4+HiEhIdi+fbvG93P+/Pka/Wr6Xjds2FDj1Gulqke2xqhDH25ubhg7dizGjh2LsrIyPPnkk1i4cCHmzJljsZ975VGPk5NTndbp7e2NyZMnY/LkySgsLMSAAQOwYMECvcMwNDQUSqUSFy9e1Blglb9vV65c0Tg6KysrQ2pqqrreyssOHh4eRv33AABLliyp0x8rzZo1q9MN9ffu3as2Mtva8ZqhmT355JMQi8WIi4ur9le9IAjIzs6udR13796ttmzlPzRdv4AKhQJ5eXkabb6+vggMDNRYxs3NrVo/QHVUmZ6ejrVr11b72r179/S+RuDg4ICRI0fi559/xqlTp6p9vXL/xowZg+PHj2Pv3r3V+uTm5qKiokKv7QLA0KFDAaDaiMTKo95hw4bpvU59VR7JPPhz/OOPP3D8+HGNfpX3lGobph4aGorLly/j9u3b6rZz585pDLM3Vh11VfX3VyKRoH379hAEAeXl5Rb7ufv6+iIqKgpffPEFMjIyqn39we9h1X1wd3dHy5YtDfpwHzlyJBwcHPDee+9Vu55Xua8xMTGQSCT49NNPNX4OX375JfLy8tS/jxEREQgNDcWSJUu0HsU9uA/6MuSaYUVFhfo09INOnDiBCxcu6Dw7Zq14ZGhmoaGh+OCDDzBnzhykpaVh5MiRaNCgAVJTU7Fjxw5MmzYNr7/+eo3r+Oqrr7Bq1SqMGjUKoaGhKCgowNq1a+Hh4aH+oK+qoKAATZo0wVNPPYWwsDC4u7vjwIEDOHnyJD755BN1v4iICGzduhWzZs1C9+7d4e7ujuHDh2PChAn4/vvv8eKLL+Lw4cPo27cvFAoFLl++jO+//159H54+Fi1ahH379iEyMlJ9u0ZGRga2bduGo0ePwsvLC2+88QZ++uknPP7445g0aRIiIiJQVFSECxcuID4+HmlpaWjUqJFe2w0LC0NsbCzWrFmD3NxcREZG4sSJE/jqq68wcuRI9fUPU3r88cexfft2jBo1CsOGDUNqaipWr16N9u3ba3zQubi4oH379ti6dStat24Nb29vdOzYER07dsRzzz2HpUuXYtCgQXj++eeRlZWF1atXo0OHDsjPzzdqHXX12GOPwd/fH3379oWfnx8uXbqEFStWYNiwYWjQoAEAy/3cV65ciX79+qFTp06YOnUqQkJCkJmZiePHj+PmzZs4d+4cAKB9+/aIiopCREQEvL29cerUKfUtSZXS0tLQokULxMbGqu9d1aZly5Z455138P7776N///548sknIZVKcfLkSQQGBmLx4sVo3Lgx5syZg7i4OAwePBgjRozAlStXsGrVKnTv3l09GMvBwQHr1q3DkCFD0KFDB0yePBlBQUFIT0/H4cOH4eHhgZ9//lnPn5iKIdcMCwsLERwcjLFjx6JDhw5wc3PDhQsXsGHDBnh6euq8Nmu1zD5+tR7TNWxZmx9++EHo16+f4ObmJri5uQlt27YVZsyYIVy5ckXdJzIyUusw9aSkJGHcuHFC06ZNBalUKvj6+gqPP/64cOrUKY1+eGAofGlpqfDGG28IYWFhQoMGDQQ3NzchLCxMWLVqlcYyhYWFwvjx4wUvL69qQ6nLysqEjz76SOjQoYMglUqFhg0bChEREUJcXJyQl5ensV1tt3A0a9ZMiI2N1Wi7ceOGMHHiRKFx48aCVCoVQkJChBkzZmgM9y8oKBDmzJkjtGzZUpBIJEKjRo2EPn36CEuWLBHKyspq/D5ru7VCEAShvLxciIuLE1q0aCE4OTkJwcHBwpw5czSG3VfWrM8we10/s6q3OyiVSmHRokVCs2bNBKlUKnTp0kXYtWtXtX6CIAi//fabEBERIUgkkmq3N3zzzTdCSEiIIJFIhPDwcGHv3r06b634z3/+U60ufeqoum1tvvjiC2HAgAGCj4+PIJVKhdDQUOGNN97Q+P0QBOP93GvaN231Xr9+XZg4caLg7+8vODk5CUFBQcLjjz8uxMfHq/t88MEHQo8ePQQvLy/BxcVFaNu2rbBw4UKN37ULFy4IAITZs2fX+P2otH79eqFLly7qfzeRkZHC/v37NfqsWLFCaNu2reDk5CT4+fkJ06dPF+7evVttXWfOnBGefPJJ9fe4WbNmwpgxY4SDBw+q++h7a4UhSktLhVdeeUXo3Lmz4OHhITg5OQnNmjUTnn/+eSE1NfWh129uIkHQc0QDEZGdW7VqFd58801cv35dfUM72TZeMyQi0tPhw4fx8ssvMwjrER4ZEhGR3eORIRER2T2LhuGRI0cwfPhwBAYGQiQSVXvYc02OHTsGR0dHzlxOREQPzaJhWFRUhLCwMKxcuVKv5XJzczFx4kTbeyo6ERFZJau5ZigSibBjxw6MHDmy1r7PPPMMWrVqBbFYjJ07d+Ls2bMmr4+IiOovm7vpfsOGDUhJScE333yDDz74oNb+paWlGk+OqHwyv4+Pj1EeK0ZEROYlCAIKCgoQGBhYbTYQQ9lUGCYnJ2P27Nn49ddf4ehYt9IXL16s1wOCiYjINsjlcjRp0sQo67KZMFQoFBg/fjzi4uL0esD1nDlzNOaty8vLQ9OmTSGXy+Hh4WGKUomIyMhu3ryJYcOGIS0tDU2bNoVMJlM/4s8YbCYMCwoKcOrUKZw5c0b9jEClUglBEODo6Ih9+/apJ5p9kFQq1TrHn4eHB8OQiMhGSCQSlJeXIyQkBD///DM6dOhg1EtdNhOGHh4euHDhgkbbqlWrcOjQIcTHx5tsQlQiIrK8li1bIjExEVKpFJ6enkZfv0XDsLCwENeuXVO/T01NxdmzZ+Ht7Y2mTZtizpw5SE9Px6ZNm+Dg4FBtdmxfX184OzvXOms2ERHZHrlcjsuXL2PgwIEA7k/AXNdZWfRh0fsMT506hS5duqBLly4AgFmzZqFLly6YN28eACAjIwMymcySJRIRkQXI5XJERUXh8ccfx/79+02+Pau5z9Bc8vPz4enpiby8PF4zJCKyQpVBmJKSgpCQECQmJiI4OFj9dVN8jvPZpEREZDVqC0JTYRgSEZFVsFQQAgxDIiKyAllZWRYLQsCGbq0gIqL6y8fHB3369AEAswchwDAkIiIrIBaLsXHjRmRnZ8PX19fs2+dpUiIisgi5XI633noLCoUCgCoQLRGEAI8MiYjIAh4cLAMAH330kUXr4ZEhERGZVdVRo5XPm7YkHhmaWJLsLn67dgcBni4Y2ikALhKxpUsiIrIYS94+UROGoQktSriENUdS1O8/PZSMbS/0hq+HswWrIiKyDGsNQsCOw7CoqAhicfWjNLFYDGdnZ41+ujg4OMDFxUVr3+tZhVh94OL9ziIRbmQDqxKvY8GIDiguLoauJ+GJRCK4urqq3+vT9969e1AqlTprdnNzM6hvSUmJ+iL3w/Z1dXVVT71SWlqKiooKo/R1cXFRz3pdVlaG8vJyo/R1dnZW/67o07e8vBxlZWU6+0qlUvUk1fr0raioQGlpqc6+EokETk5OevdVKBQoKSnR2dfJyQkSiUTvvkqlEvfu3TNKX0dHR/WUbIIgoLi42Ch99fl3b6zPiNr61rfPCKlUisGDByMlJQXNmzdHQkICvL29tX5Pavt3X9P30WCCncnLyxMA6HwNHTpUo7+rq6vOvpGRkRp9GzVqpLOvxL+V0OytXcLwz34VBEEQmjVrprNv+/btNdbbvn17nX2bNWum0bdbt246+zZq1Eijb2RkpM6+rq6uGn2HDh1a4/ftQU899VSNfQsLC9V9Y2Nja+yblZWl7vvSSy/V2Dc1NVXd9/XXX6+x759//qnuO3/+/Br7njhxQt33448/rrHv4cOH1X1XrFhRY99du3ap+27YsKHGvt9//7267/fff19j3w0bNqj77tq1q8a+K1asUPc9fPhwjX0//vhjdd8TJ07U2Hf+/Pnqvn/++WeNfV9//XV139TU1Br7vvTSS+q+WVlZNfaNjY1V9y0sLKyx71NPPaXxO1xTX1N9RnTr1k2jb338jEhISBDat29fa9+6fkbk5eUJxsIBNGbWopFb7Z2IiOqhIUOG4Ny5cxpHqtbCbmet+Pvvv7U+7dyYp0CmbjqFo8l3VG9EIjRwc0X89D5oF+BR706B8DRp9b48TcrTpPZ+mvTmzZuYMmUKVq5cic6dO9fY90G1/bvPz89HYGCgUWetsNswNMcUTqUVCmw9KcfR5DsI9HLBhN7NENrY3aTbJCKyBg8OlomMjERiYqLR1m2Kz3GGIRERGZWpR41yPkMiIrJq1nz7RE0YhkREZBS2GoQAw5CIiIzktddes8kgBOz4pnsiIjKuNWvWAACWLVtmU0EIMAyJiOghFBcXq2/d8Pb2Rnx8vIUrMgxPkxIRkUFkMhk6d+6MlStXWrqUh8YwJCIivclkMkRHR+P69etYtmxZjQ81sAUMQyIi0ktlEFYOljl8+LBVPmJNHwxDIiKqs6pBaGujRnVhGBIRUZ3U1yAEGIZERFRHP/74Y70MQoC3VhARUR3961//AgCMHDmyXgUhwDAkIqIapKenw9PTE+7uqhl3KgOxvuFpUiIi0koul2PAgAEYOnQoCgsLLV2OSfHIkIiIqnnwodsAkJeXpz46rI94ZEhERBq0zT4RFBRk6bJMimFIRERqtjwN08NgGBIREQD7DUKAYUhERP+4e/cucnNz7S4IAQ6gISKif3Tu3BmHDx9Gw4YN7SoIAYYhEZFdk8vluHnzJnr37g1AFYj2iKdJiYjsVOU1woEDB+L48eOWLseiLBqGR44cwfDhwxEYGAiRSISdO3fW2H/79u0YOHAgGjduDA8PD/Tu3Rt79+41T7FERPXIg4Nl/Pz80KRJE0uXZFEWDcOioiKEhYXVeZbkI0eOYODAgUhISMDp06cRHR2N4cOH48yZMyaulIio/rDnUaO6iARBECxdBACIRCLs2LEDI0eO1Gu5Dh06YOzYsZg3b16d+ufn58PT0xN5eXnw8PAwoFIiIttVH4LQFJ/jNj2ARqlUoqCgAN7e3jr7lJaWorS0VP0+Pz/fHKUREVmdjIwMmw9CU7HpATRLlixBYWEhxowZo7PP4sWL4enpqX7xB09E9srHxwcdOnRgEGphs6dJN2/ejKlTp+LHH39ETEyMzn7ajgyDg4N5mpSI7FJZWRmys7MREBBg6VIMZorTpDZ5ZLhlyxZMmTIF33//fY1BCABSqRQeHh4aLyIieyGXy7Fw4UJUHvdIJBKbDkJTsblrht999x2ee+45bNmyBcOGDbN0OUREVqvqNEzvvPOOhSuyXhYNw8LCQly7dk39PjU1FWfPnoW3tzeaNm2KOXPmID09HZs2bQKgOjUaGxuL//73v+jZsydu3boFAHBxcYGnp6dF9oGISENJHqCoANx8LFpG1VGjEydOtGg91s6ip0lPnTqFLl26oEuXLgCAWbNmoUuXLurbJDIyMiCTydT916xZg4qKCsyYMQMBAQHq1yuvvGKR+omI1EoLgfjngY9aAP8JATY+DuTdtEgp9eH2CXOzmgE05sL7DInIJH56GUj6SrOtSQ9gyn6zlmEPQcgBNERE1urCtuptN08AOalmK6GsrAwxMTH1OghNhWFIRGQUIh3NOtpNQCKRYMGCBWjdujWDUE8MQyIiYwh7pnpb0z5Aw+ZmLWPcuHG4cOECg1BPDEMiImN47AOgy/8BYgkAEdDqMeDpDSbfrFwux9ChQ/H333+r2yQSicm3W99wAA0RkTGV3wOUFYC0gck39eBgmSFDhiAhIcHk27QGfFA3EZG1c3Ixy2aqjhr94osvzLLd+oqnSYmIbIw93D5hbjwyJKovFOXA+e+BtF8BzyZAxGTAM8jSVZGRMQhNg2FIVF98PxG48sA1o5NfAlMOAD6htS+bnwHcywEatwMceMLImr3wwgsMQhPgbz1RfSD7XTMIAVW4HVte83LlJUD8c8Cy9sDnfYBPw1TrIqu1bt06DBkyhEFoZAxDovog65KO9ss1L3fkP8CfPwCCUvU+VwZs/T+gohQovK16kcU9OCdrYGAgEhISGIRGxjAkqg8Cu+jXXunizuptRbeBLx8DlrQElrQCvhkNFN156BLJMHK5HJ06dcK3335r6VLqNYYhUX0QGK664ftBnsFAv1drXk7XbQAZZ//5HwG4dgD4cebD1UcGqRwsk5ycjLi4OI0jRDIuDqAhqi9GrAA6jAJSj6iCsPMYwLmWeT4jJgG7/137upP3qubpq219hlIqgd9XAee3qN6HjQN6TrfrwTxVR40ePHgQUqnU0mXVWwxDovpCJAJaxqheddV9ClBWrAqiojtAy0eBq/sAKKuuHBCZMJgOzAd++/T++1sXgMJMYOB7ptumFePtE+Znv392EZFK35eBf18G5t0Bxm8F2g2v3qf9E6Z7vFj5PdVtIFWd/FI12tXOMAgtg2FIRPdlXwdunddsa/UYMPy/pttmWRFQXqSlvRAoLzbddq3Upk2bGIQWwNOkRHTfrteAu1Umo827CTib8KH2bo2AgPAHBu38I7Ar4Optuu1aqbfffhsAMHHiRAahGfHIkIhUyu8Bqf+r3p51UXX/YVWKCuBCPJDwJnBiLVBaYPi2n1gBNAi4/75BIDDiM8PXZ2MyMjLUI0VFIhHeeecdBqGZ8ciQiFTEEkDqCZTmabY7OAHSKkeGSiWweQxw/eD9tj9WA8/vN+xozr8T8Mp54Ow3wNX9gJOz6kECfh00Z4q/ewM4uhTIOKf6Wr9ZdXvcnBWTyWSIjo5G+/btER8fzxGjFsIwJCIVBzHQc5rqqTQPCh8HuHhptiXv0wxCAMi+BpxcB0S+adj2008Dv8wGFP/cS/fXdtVDx0f8M8q0KBv4cqBqlCkA/H0G+GsHMORjoPMzgNgKP84yzgHXDgIN/IH2IwGJq8aXK4MwJSUFAJCTk4OAgAAtKyJTs8LfHiKymKi3AWcv4Mw3gLIc6PQ00F/LfYgZ57Qvr6u9Lv734f0grJS0Cej3GuDdAjj77f0grFRWBPw4Azi+Enj6K9U6Lu0CpO5At+eBqDmWu1fx8CLgfx/df5+4GJi8Rz2TyINBWDlYhkFoOQxDIrrPwQHoM1P1qolfBx3tHQ3f9u2rWhoF1RGndwsgP133slkXga9GAIUZqvfFpcCRjwGxk+FHqg/j7o3qR9i5MlXb8OVag5DXCC2LA2iISH9thgDN+2u2eTUDekw1fJ1NIqq3OTgB/p1V/98isublK4PwQae/Mryeh3Hz5P2Hnz9I9juD0ErxyJCI9OcgBv7vB+DCNkD+B9CoterZqC4NDV/nI3OBG78Bxdn326JmAw38VP/fZggQ/qzqdGldWeo+RV2DenxCkZ6ejqysLAahlREJgiBYughzys/Ph6enJ/Ly8uDhYcJ7p4hIf8U5qts1irOB1oOAoK7V+2ScU83BmH3tfptYArj6AAVVjg67PQc8vsy0Nevy3TjNOSYdXYDJu4GgCBw/fhxNmjRhEBrIFJ/jDEMisj1lRcDvnwMpiYBHINBruuqU6rZJQHYyAJEqTJ9ca9oHBtSkogxI+gq4fgjyEjfcbf44OkePtEwt9QzD0AgYhkT1XNZl1WhSzyaWrgTA/WeN5ubm4vDhw+jcubOlS7J5pvgc5wAaIqo/8jNUo05NOcOGHh586LaXlxcaNnyIa6pkUhxAQ0SWcf0QkHxA9WzS8GfvD5Qx1MH3gWPLAWUF4OAI9J4JDIwzSqmG4OwTtoVhSETmt+dt4PeV99//9qnqhnTftoatLyUR+HXJ/ffKClUwtuiv3/yOhijOUc3HeHm3avLj7lMhbzKcQWhjrONcAhHVLyX5wO5/Ax+HAss7Ab8uVT3PFAByUlWTCT/o3l3Np7Xo68oeHe2/GL7Outo6QfWknOJsICcF6dveQlTvrgxCG8MjQyIyvu1Tgav/BFQxgINxgFIBRL6hmsUeWsbtVZ3CSR+67m98mPse6yLrEnDjqEaTl7MITZxLAAahTeGRIREZV67sfhA+6ORa1X/9OgAQVf+6rke81UX4eEDSQLPNyU31IABTKsmv1uQmESFhcmMcOXKEQWhDGIZEZFxaAkKj3ScU6DZZ82tSDyDyLcO36RUMTPpZdX3Q3Q8IfRSI/Rlo2NzwddZFUFegQQDkeUp89keZutmt83AEBQWZdttkVDxNSkTG5dcB8A4BclI029sOu///w5aqAit5nyq8uk5UBdrDCOyiekRcbSrKgIoS/W/Gv3cX+GMNcPOE6vFzvaYDXk0h7/sxoh5/CinZ5QCAf419FIhZoH/9ZFG86Z6IjO/vM8DWiUCeTPU+uCcw9lvAvbHlalIqVKM+T64HyouAZn2B4Z8CjVrWvmxFKbAmSjU7RiVXH8iHbUHUiHGqwTJNg5D44zcIDo8y1R7QP+rdTfdHjhzB8OHDERgYCJFIhJ07d9a6TGJiIrp27QqpVIqWLVti48aNJq+TiPQU2AV45Sww5SAw/Tjw/D7LBiGgutXit89UQQgAN44Bm8fcH+Vak4s/agYhAHnGbUQNHHx/1OjR4wxCG2bRMCwqKkJYWBhWrlxZe2cAqampGDZsGKKjo3H27Fm8+uqrmDJlCvbu3WviSolIbw5ioEk3wK+9pStRObu5elvOddWsG7WpcspXnqdE1FdFSMm4y9sn6gmLXjMcMmQIhgwZUuf+q1evRosWLfDJJ58AANq1a4ejR49i2bJlGDRokKnKJKL6QNv8gjW1P6hpL/X/FpcLiP6qCCl3BYQENmIQ1hM2NZr0+PHjiInRfJrEoEGDcPz4cQtVRERWQVEO7J8HfBwCLG4K/PwqUFqo2afz2OrLeTXVCDqdQqKAzs8AAFydRHitlxShjV2QeOQog7CesKnRpLdu3YKfn+bzC/38/JCfn4979+7BxcWl2jKlpaUoLS1Vv8/P1zHsm4hs1/55mk+1Ob0BuJcDjNmkel94G7ibprmMo7NqiicH8f224hzVk2S8QwGHKscKT34BRMQC8hOY8UxrTG7SH67uVe5tJJtlU0eGhli8eDE8PT3VL/4VR1TPKBWqx6FVdeln4K5MNcfhJ62Bc99pfr2iBLh2QPX/igrgp5eBJa2AFd2Az7oAN+6fcZLL5Rg9ejSy3dsA/V4F2g5lENYzNhWG/v7+yMzM1GjLzMyEh4eH1qNCAJgzZw7y8vLUL7lcbo5SichclAqg/F71dkGpet7pXzt0Xxe88Zvqv8c/U03Eq6xQvb+bBmwcBmx+BvLjOxEVFYXt27dj2rRpJtkFsjybOk3au3dvJCQkaLTt378fvXv31rmMVCqFVCo1dWlEZCmOEqDNEODyLs32wC6qm/pr4h2i+u+f26t/TVBAfnI3omZuQ8pdJUJCQrB8+XKjlEzWx6JHhoWFhTh79izOnj0LQHXrxNmzZyGTqW7UnTNnDiZOnKju/+KLLyIlJQVvvvkmLl++jFWrVuH777/Ha6+9ZonyichaDFsKBD8wEMa3PTD6S8Cxhj+EJe6qOQ8Brf3Ut0/cVSLE152jRus5ix4Znjp1CtHR0er3s2bNAgDExsZi48aNyMjIUAcjALRo0QK7d+/Ga6+9hv/+979o0qQJ1q1bx9sqiOxdAz/g+b3AnWuAshzwbadq7zIBSFyk2VfaAOj0NNBzOtC49f1+N0+qu9wPQgEhDUVIfLU9g7Ce4+PYiMi2ZV0Cru4FXH2ADiNVYVdJqQAOfQCc/BIoKwRaDwaGfQJ4BFRfz9HlqkmGi7MRtbEI/7uhUAVhrBuCh84CBsaZa4+oFqb4HGcYEpHt+m0FsO+d++8bBACTdqtmxniQIKiCUVyHk2G/rcC1Le9gyk9F+HqUC4LbdQMm7ABcvIxaOhmOYWgEDEOieqLwNrCsPaAo02zvOBp4ar3eq6uoqICj4z9hmSsHUo8AnkFAi0hApGX+RbKYevegbiKyQ6e/AtYPAb4cpDp9aejf43+fqR6EACCrw7NGqy4ik6Fz587YvXu3qsErGOjyrOrJMwxCu2BTt1YQkY1L/EhzQIv8dyDvJhAzX/91Vd4WUVXVU6S1kMlkiI6ORkpKCt544w0MGjTo/hEi2Q0eGRKReVSUAce1zFBzYo32m+Zr06hl9eeNOjgBA96o8yoeDMKQkBDs3buXQWin+FMnIvMoLwJK86q3lxUCJXmAk/anSNVo5OeqSXqv7gVcvYHuU4DA8DotWjUIeR+hfWMYEpF5uDQEAsKBjLOa7b7tgQb+dVtH9nVAdhzwaga06K96yHZErOqlBwYhVcUwJCLzGb4c+OYpoPiO6r1LQ2D4p3VbNvFD1Qv/DLhp1hd4dhsgcdO7jFWrVjEISQPDkIjMJ7AL8OoF4Np+1SjSVgPrFmZZl4DExZptN44Bf3wB9J+ldxkLFy4EAMyYMYNBSAA4gIaIzE3iCrR/QvW0mLoe1aUe0d6ecrjOm83KyoJCoQAAiMVifPjhhwxCUmMYEpH18wjU3u5ZtzCTy+Xo3bs3Jk2apA5EogfxNCkRWb/Wg4HG7YDbl+63OToDPV+sdVG5XI6oqCikpKQAALKzs+Hr62uqSslGMQyJ6OHdPAVciAdEDkDYWCAgzLjrFzupnjl6bBmQdgxo2Azo8zIQ0LnGxR4MwsrBMgxC0obPJiWih5P0NfDTv6Ae5SlyAEavUz0j1IK0BSGvEdYPfDYpET2c21eBS7uAvHTjrE9RDhyMgzoIAUBQAvsXAEqlcbZhAAYh6YunSYnsgVIB/DgDOPed6r1IDES+CUTNfrj1FmYCRbert+fJgNL82qc9KsoGLnwPFGYBrR4DmvV+uHr+ceXKFdy8eZNBSHXGMCSyB+e/vx+EACAoVPfttRoIBEUYvl53f8DdTxWKD2rYHHD2rHnZO8nA+sH3b8A/uhTo/zrw6FzD6/lHTEwMdu/ejTZt2jAIqU54mpTIHiTv09G+/+HWK3YEBr6vuk5YyaGyrZapjxIX3w/CSkeXqeYSNIBcLse1a9fU72NiYhiEVGc8MiSyB26NdbQ3evh1h40FfNsBf8arTr92HqN6X5v0pOptggLIOKeaT1APldcIS0tLkZiYiJYtW+q1PBHDkMgedHsOSNoEVDwwVZK7H9DxKeOsP6Bzrbc5VNO4LXA3VXu7HqoOlpFKpfrVQQSeJiWyD75tgdifVYNUGjZXheDkX2of4GJKkW8CTlUex9bl/1TzFNYRR42SsfA+QyJ7VXBL9aDr21eAoK6quQDNHY7Z14HTG4DC26rBPB1H136t8R8MQvtlis9xhiGRPSrMAr6IBAr+vt/m2x6YesiwSXbN7ObNm4iMjGQQ2inedE9ExnFqvWYQAkDWReDP7ZapR0+urq7w9PRkEJLRcAANkT26k6y9PVtHu5Xx9vbGgQMHUFxcjCZNmli6HKoHeGRIZI+Ce+rXbgXkcjk2btyofu/t7c0gJKPhkSGRPeryf6r7AuV/3G9r+zjQapDpt/3XTuD8VtX/dx6rmuS3FlWnYZo0aZLJyiP7xDAkskcSV2BSAnAlAbh9WTWaNPTROo/kNNix/wL7591/fyUByH0P6PuKzkWqjhp99NFHTVsj2SWOJiUi86goA5a0AkpyNdudvYDXkwFHSbVFePsEacPRpERku0ryqgchoGoryavWzCAkc2IYEpF5uDcGGrWu3t6oteprD8jPz2cQklkxDInIfIYt1XwEm5Obqq0KDw8PxMbGMgjJbHjNkIhMryQPuHUBaNgCcHQGLv2kGqzTdjjg5qNzsfz8fP47pWpM8TnO0aREVF2uHEg9AngEAC2iAIeHOIl0ch2wby5QXqya4iliEjDsk2ojV2UyGd59912sWrUK7u7uAMAgJLNhGBKRpt8/B/a+o5pbEAACwoGJOwGXhvqv6/ZVYPfrAP45ASUogFNfAk26A+Hj1N1kMhmio6PV9xFu2rTpoXaBSF+8ZkhE9+Xd1AxCAMg4q5qB3hBXEqAOwgdd3qX+3weDMCQkBAsXLjRsW0QPgWFIVJ/I/gC2PAt83g/4ZTZQdEe/5dOOaQZhpeuHDavH2VNHuxeA6kHIwTJkKTxNSlRfpJ8GvnocUJSp3mdeAFL/B7zwKyCu4z91j0Dt7Z4GBlQDf0DkAAjK+20iMdDtOQYhWRWLHxmuXLkSzZs3h7OzM3r27IkTJ07U2H/58uVo06YNXFxcEBwcjNdeew0lJSVmqpbIiv3++f0grJR1EUjeV/d1NO8HNOmh2ebgCPSZqX8993KBH6ZqBiEA9HwBQlBXPP300wxCshoWDcOtW7di1qxZmD9/PpKSkhAWFoZBgwYhKytLa//Nmzdj9uzZmD9/Pi5duoQvv/wSW7duxdtvv23myomsUH6G9vaq8xbWRCQC/u8HoP/rQGBX1cO7Y3cBzfroX8/VPUBZQfX2zL8gEomwZs0a9OjRg0FIVsGip0mXLl2KqVOnYvLkyQCA1atXY/fu3Vi/fj1mz55drf9vv/2Gvn37Yvz48QCA5s2bY9y4cfjjjz+q9SWyO6FRwI2jVRpFQEi0futx9gAenat6PQyRuFqTUhDg4KBqDwsLw++//w6RqR8OTlQHFjsyLCsrw+nTpxETE3O/GAcHxMTE4Pjx41qX6dOnD06fPq0+lZqSkoKEhAQMHTpU53ZKS0uRn5+v8SKql3q9BDTvf/+9SAzELAB8Qi1TT5vBGrdjyPOU6PpFEY4qu6rbGIRkLSx2ZHjnzh0oFAr4+flptPv5+eHy5ctalxk/fjzu3LmDfv36QRAEVFRU4MUXX6zxNOnixYsRFxdn1NqJrJLEDZi0C5D9Dty9oTq16WXB04/SBqpTrrv/Dfml04jaVIKUHCVmLvsBSRPegcPD3MhPZGQ29duYmJiIRYsWYdWqVUhKSsL27duxe/duvP/++zqXmTNnDvLy8tQvuVxuxoqJLKBpLyBsrGWDsFJQBORDvkbUj42QklOBkJAQ/PzzzwxCsjoWOzJs1KgRxGIxMjMzNdozMzPh7++vdZm5c+diwoQJmDJlCgCgU6dOKCoqwrRp0/DOO9r/0pRKpZBKpcbfASKqlXoaptQ0jholq2axP88kEgkiIiJw8OBBdZtSqcTBgwfRu3dvrcsUFxdXCzyxWHUx3s6eN05k9TgfIdkSi44mnTVrFmJjY9GtWzf06NEDy5cvR1FRkXp06cSJExEUFITFixcDAIYPH46lS5eiS5cu6NmzJ65du4a5c+di+PDh6lAkIuvw0UcfMQjJZlg0DMeOHYvbt29j3rx5uHXrFsLDw7Fnzx71oBqZTKZxJPjuu+9CJBLh3XffRXp6Oho3bozhw4fzWYZEVmjpUtU8hW+99RaDkKwe5zMkIqPJzs6Gt7c3b5kgkzLF5ziHdBGRUcjlcvTo0QOvvvoqr+GTzWEYEtFDe3CwzK5du5CTk2Ppkoj0wjAkooeibdSoj4+Ppcsi0gvDkIgMxtsnqL5gGBKRQRiEVJ8wDInIIKdOnUJaGp8sQ/UDZ7onIoOMGjUK8fHx6NatG4OQbB7DkIjqTC6Xw8HBAUFBQQBUgUhUH/A0KRHVSeU1wqioKKSnp1u6HCKjYhgSUa0eHCyjVCqhVCotXRKRUTEMiahGHDVK9oBhSEQ6MQjJXnAAjQkJgoDDV7Jw7Fo2AjydMbprEzR0k1i6LKI6YRCSPWEYmtDsHy5g6ym5+v2aIyn4YXofBHu7WrAqoroRi8UQi8UMQrILPE1qIhf/ztcIQgDIKijFqsTrFqqISD+BgYFITExkEJJdMCgMMzMzMWHCBAQGBsLR0VH9F2Tli4A//87T2v6XjnYiayCTybB9+3b1+8DAQAYh2QWDTpNOmjQJMpkMc+fORUBAACfy1KKtfwOt7W38tLcTWZpMJkN0dDTS0tKwbds2PPnkk5YuichsDArDo0eP4tdff0V4eLiRy6k/OjfxwrBOAdh9IUPd5unihOlRoRasiki7yiCsHCzTvXt3S5dEZFYGhWFwcDBnsq4DpaCs8l4Av2tkUcU5wNlvgZwUoGkfoMMoyNL/1ghCXiMke2TQNcPly5dj9uzZSEtLM3I59cc5eS5++TNTo62gpAKrDnMADVlIwS3giwHAvneBU+uB7VMgW/EEg5AIehwZNmzYUOPaYFFREUJDQ+Hq6gonJyeNvjk5Ocar0EZdySzQ2p6cpb2dyOSOrwTy7o9wzi5WIvrTX5ByV2AQkt2rcxguX77chGXUP52beGptD23sbuZKiP6R+afGW28XEYa3dsLP8gYMQrJ7dQ7D2NhYU9ZR74h1jLD9O7fYzJWQzbp1Afj9cyDvJtBiANBrOiBxM3x9/p2A64fUb0UiEZYNkmLeiC/hzSAkO2fQNUOxWIysrKxq7dnZ2bzP8B+fHbymtf1UWq55CyHblHEOWDdQNdgl9X/AofeBb0YDDzNwrdcMyJX+mLH7HkorVOsRtRkC764jjFQ0ke0yaDSprpGkpaWlkEj47E0AuHZb+7VBBUfhUl0c+y9QcU+zTXYcSPtVdZRoAHluGaK+KUNKajng1x4rF78LtB8J8D5hIv3C8NNPPwWgOr2ybt06uLvfv/6lUChw5MgRtG3b1rgV2qjeoT64mFE9EB35ADyqi7s3dLSnGRSG6odup6YhJCQEsz//GeCpUSI1vcJw2bJlAFRHhqtXr9Y4JSqRSNC8eXOsXr3auBXaqEbuUq3tDvwjnOqiWR8g/VSVRhHQrK/eq+LsE0S10ysMU1NTAQDR0dHYvn07GjZsaJKi6oODl6pfUwWAcoWZCyHb1O814NpBIOuv+20D3gB89HuCEYOQqG4MumZ4+PBhY9dR77hKOJCIHoKrN/DCEeDqL0BeuurUqF97vVahVCoxYsQIBiFRHRg8n+HNmzfx008/QSaToaysTONrS5cufejCbN3I8EAcSb5Trd3ThVNIUh2JHYF2ww1e3MHBAStWrMDMmTPx008/MQiJamDQJ/PBgwcxYsQIhISE4PLly+jYsSPS0tIgCAK6du1q7BptUoWOQaONG2i/lkhkLIIgqJ8W1bdvX5w+fRoODhy5RVQTg/6FzJkzB6+//jouXLgAZ2dn/PDDD5DL5YiMjMTTTz9t7BptUlMds9m39vMwcyVkT+RyOXr16oVz586p2xiERLUz6F/JpUuXMHHiRACAo6Mj7t27B3d3d7z33nv46KOPjFqgreoV4oMuTb002hwdRHghMsQyBVG9VzlY5sSJE5g2bRpnliHSg0Fh6Obmpr5OGBAQgOvX78/EcOdO9etk9kihFJB/r1xLW4WFKqL6rOqo0fj4eE66TaQHg64Z9urVC0ePHkW7du0wdOhQ/Pvf/8aFCxewfft29OrVy9g12qQjybdx/XaRRpsA4D/7LqNfq36WKYrqJd4+QfTwDArDpUuXorCwEAAQFxeHwsJCbN26Fa1ateJI0n/s/fOW1vZLWp5KQ2QoBiGRcRgUhiEh9697ubm58akzWhSUlmttr1AozVwJ1Wdz585lEBIZgcHDzHJzc7Fu3TrMmTNHPZlvUlIS0tPTjVacLVPqeNKMkmMayIhWrlyJ2NhYBiHRQzIoDM+fP4/WrVvjo48+wpIlS5CbmwsA2L59O+bMmaPXulauXInmzZvD2dkZPXv2xIkTJ2rsn5ubixkzZiAgIABSqRStW7dGQkKCIbthUlmFJZYugeqpvLw89f+7ublh48aNDEKih2RQGM6aNQuTJk1CcnIynJ2d1e1Dhw7FkSNH6ryerVu3YtasWZg/fz6SkpIQFhaGQYMGaZ0rEQDKysowcOBApKWlIT4+HleuXMHatWsRFBRkyG6YVICnc+2diPQkl8vRtWtXLFiwwNKlENUrBoXhyZMn8cILL1RrDwoKwq1b2geOaLN06VJMnToVkydPRvv27bF69Wq4urpi/fr1WvuvX78eOTk52LlzJ/r27YvmzZsjMjISYWFhhuyGSd0r57VBMq4HB8t8/fXXGkeIRPRwDApDqVSK/Pz8au1Xr15F48aN67SOsrIynD59GjExMfeLcXBATEwMjh8/rnWZn376Cb1798aMGTPg5+eHjh07YtGiRVAodE8FUVpaivz8fI2XOXg4ax+bxCmcqEbFOcDPrwJL2gArewGnVH8Yahs16unpadlaieoRg8JwxIgReO+991BerhoxKRKJIJPJ8NZbb2H06NF1WsedO3egUCjg5+en0e7n56fz6DIlJQXx8fFQKBRISEjA3Llz8cknn+CDDz7QuZ3FixfD09NT/TLXtRWxjhue+VAQqtGW8cDpDUDhLeD2JWDXa5Dv/oS3TxCZmEFh+Mknn6CwsBCNGzfGvXv3EBkZiZYtW6JBgwZYuHChsWtUUyqV8PX1xZo1axAREYGxY8finXfeqfHWjjlz5iAvL0/9ksvlJqvvQdmFZVrbeWBIOmWcB2SaZ0XkeUpETXqHQUhkYgbdZ+jp6Yn9+/fj2LFjOHfuHAoLC9G1a1eNU561adSoEcRiMTIzMzXaMzMz4e/vr3WZgIAAODk5QSy+P1dgu3btcOvWLZSVlUEikVRbRiqVQio1/0wRfVr64PDV29XrceJDk0mHktxqTYfTKpByp5RBSGRieoehUqnExo0bsX37dqSlpUEkEqFFixbw9/fXmDqmNhKJBBERETh48CBGjhypXvfBgwcxc+ZMrcv07dsXmzdvhlKpVD+J/+rVqwgICNAahJZUWKL9GaRK3mhIugT3BFx9gOJsddPEMAnQIgrRr61hEBKZkF6HKYIgYMSIEZgyZQrS09PRqVMndOjQATdu3MCkSZMwatQovTY+a9YsrF27Fl999RUuXbqE6dOno6ioCJMnTwYATJw4UeO+xenTpyMnJwevvPIKrl69it27d2PRokWYMWOGXts1h1M37mptL1UwDEkHRynw1HrIy7yQXfzPaOTm/TFx4XcMQiIT0+vIcOPGjThy5AgOHjyI6Ohoja8dOnQII0eOxKZNm9TTO9Vm7NixuH37NubNm4dbt24hPDwce/bsUQ+qkclkGnOxBQcHY+/evXjttdfQuXNnBAUF4ZVXXsFbb72lz26YhYeOGe05mpRqInMMQfRWMTycA3AgfgN82vW1dElEdkEk6DHp2WOPPYZHHnkEs2fP1vr1RYsW4X//+x/27t1rtAKNLT8/H56ensjLy4OHh+km2l22/yr+ezC5WruzowiXPxhqsu2S7ZLJZIiOjuZgGaJamOJzXK/TpOfPn8fgwYN1fn3IkCEaM2zbM2837dcwGzg7mbkSsgUMQiLL0isMc3Jyqt0X+CA/Pz/cvav9Wpm9cZdqP03qKhFrbSf7xSAksjy9wlChUMDRUfdlRrFYjIoKzuQOACXl2p+Kw8e00YMYhETWQa8BNIIgYNKkSTrv2ystLTVKUfWB7G6R1vaCEu3zHJJ9Ki8vR1lZGYOQyML0CsPY2Nha+9R1JGl9l5mn/Q+Dck7uSw8IDQ1FYmIiJBIJg5DIgvQKww0bNpiqjnqnUQPtA2icxHwCjb2Ty+W4fPkyBg4cCEAViERkWfxkNpEBrXy1toc0cjNzJWRNKmefePzxx7F//35Ll0NE/2AYmoiuZ5C665jaieq/B6dhatKkCdq2bWvpkojoH/xkNpEzMu23mFzKKDBzJWQyd28AF38ExE5AhyeBBrpvO9I2HyGvERJZD4ahiVxM1z6JcFEZbz2pFy7+BMQ/Byj/GR188H3g2e+B5v2qdWUQElk/niY1kQpds1PwOd22T1EB/PLm/SAEgPIi4JfqjynMyspiEBLZAIahiXRr3lBru6uUT6CxeXkyoCCjenvmBaCsWKPJx8cH/fr1YxASWTmeJjURNx2PY3Nz4rfc5rn7A5IGQFmV678eTQAnF40msViM9evXIzs7G76+2kcYE5Hl8cjQRNKytT+B5u69MjNXQkYncQX6v1a9PfptQCSCXC7HW2+9BYVC9Ug+sVjMICSycjxMMZHz8lyt7aUVvGhYL/T/N9C4LXAhXjWaNPxZICRSY7AMAHz00UcWLpSI6oJhaCK5xXwGab3Xdpjq9Y+qo0ZnzpxpweKISB88TWoiob7uWtv5Da+fePsEkW3jZ7OJDO7or7W9UQPtM36QDck4D2x8HHi/MbCiB+QH1jAIiWwcT5OaSNod7QNoCkt5071Nu5cLbBoB3FM9Yagi6zIGvzcdKbeVDEIiG8YjQxP5IzVHa7uuSX/JRlzcqQ5CAHB0EGHJQCnaN/FiEBLZMIahiXQI9NTa7sr7DG3bPzfVC8L9UcFDWjnh3OJBDEIiG8YwNJGZj7TU+s2d3K+5uUshY2o7DLI8EaK+KkZy9v2jfMdOIy1XExE9NIahCWl79FpwQ1cLVELGIisQITreGUduKDDl5xIIIkeg1wyg81hLl0ZED4Hn7Ezk0OUsFJZWvz74Q9JNjOnO02m2SCaTITo6Gik3MxES0gLfbFkJUfvugFsjS5dGRA+JYWhmfP6MbVIHIW+fIKqXGIYmEt3GF05iEcoVmvEX1bqxhSqiOrsQD/z2GVB0G2g1ELJWkxE9bDSDkKge4zVDE0nOKqgWhACw/1KmBaqhOvtrB/DD80DGWSA/HTi9EbPGD2QQEtVzPDI0kS/+l6K1/bw8z8yVkF5+X12tac3AUsA/Csu+2MQgJKqnGIYmkpVforVdKfCqoVW7p3pYQnG5AFcnEQDA20WE+KWvAwxConqLp0lNpHeoj9Z2qSO/5Vat9WDI8pTo9HkhVpz4Z+5JiTvQvL9l6yIik+Ins4n0aal9uL23m8TMlZA+ZC3GIfpbJVLuClj+eymKRQ2AUV8Azh6WLo2ITIinSU1k9/kMre13iznTvbWSyWSIHjwcKbeLEdKsCQ5//TFce44AJG6WLo2ITIxhaCLOOk6H8oqhdeJ9hET2jadJTaSVn/bJfd0k1R/RRpbFICQihqGJ3CnUfjr0XrnSzJVQbX766ScGIZGd42lSEzmZxvkMbcXMmTMBAE888QSDkMhOMQxNpIHUSWu7g0hk5kpIm/T0dHh6esLdXXU6uzIQicg+8TSpiUzq00xre4Cns5kroarkcjkGDBiAoUOHorCw0NLlEJEVsIowXLlyJZo3bw5nZ2f07NkTJ06cqNNyW7ZsgUgkwsiRI01boAHScu5pbXfXMschmY9cLkdUVBRSUlKQnp6OvDw+Ho+IrCAMt27dilmzZmH+/PlISkpCWFgYBg0ahKysrBqXS0tLw+uvv47+/a3zySCCjseuFZdxAI1RFN0BDi0ENj8DHPoAKLxd6yIPBmHlYJmgoCAzFEtE1s7iYbh06VJMnToVkydPRvv27bF69Wq4urpi/fr1OpdRKBR49tlnERcXh5CQEDNWW3e6nkFapmAYGkwQgNtXgTtXgXUxwJGPgau/AEf+A6x7BLh3V+ei2oKQg2WIqJJFw7CsrAynT59GTEyMus3BwQExMTE4fvy4zuXee+89+Pr64vnnn691G6WlpcjPz9d4mUPevXKt7XxQt4EyzgErugMruwMregB3UzW/nisDznyjdVEGIRHVxqJheOfOHSgUCvj5+Wm0+/n54datW1qXOXr0KL788kusXbu2TttYvHgxPD091S9zfQh6uWgfTeoktvjBuO1RKoAtzwLZyf806PiDIvua1ubc3Fzk5eUxCIlIJ5v6ZC4oKMCECROwdu1aNGqk/UHYVc2ZMwd5eXnql1wuN3GVKlJH7QNlJAxD/d08BeTV4ecW3Etrc6dOnXD48GEGIRHpZNH7DBs1agSxWIzMTM3Z3zMzM+Hv71+t//Xr15GWlobhw4er25RK1TU4R0dHXLlyBaGhoRrLSKVSSKVSE1Rfs5IK7dcGFUqeJtWbYx1+fiFRQMfR6rdyuRw3b95E7969AagCkYhIF4uGoUQiQUREBA4ePKi+PUKpVOLgwYNab4Ju27YtLly4oNH27rvvoqCgAP/973+t6q9+Bx0HgBUMQ/0FhgMBYarrhg8KfxbwDgH8OgKtHlN/0yuvEWZmZmL//v3qQCQi0sXiT6CZNWsWYmNj0a1bN/To0QPLly9HUVERJk+eDACYOHEigoKCsHjxYjg7O6Njx44ay3t5eQFAtXZLy8rTPtP9vfIKM1dST4zbCiS8Dlz5BXD2BHpMAyLfqvZXR9XBMk2aNLFQwURkSywehmPHjsXt27cxb9483Lp1C+Hh4dizZ496UI1MJoODrsMsKyZ10n7NkANoDOQRADzzrer2Ch2PtOOoUSIylEjQdXd4PZWfnw9PT0/k5eXBw8N0s5efvnEXoz//rVr74539sWJ8hMm2a68YhET2wxSf4zxMMZG2/g20tns6a7/lggyXkZHBICSih8IwNJFl+69obd92+qaZK6n/fHx80KFDBwYhERnM4tcM66sjV+9obS9T2NVZabOQSCSIj49HdnY2AgICLF0OEdkgHhmaSCN3iaVLqNdkMhk++OAD9QPRJRIJg5CIDMYjQxMJ8NI+b6ED5/atO0FQzU7h4gWI719rlclkiI6ORkpKCgDVvaZERA+DYWgiDV20PzVFzDSsm+QDwC9vADkpgGsj1T2FPadpBGFISAhiY2MtXSkR1QMMQxPJLi7T2q7gNcPa5aUDW58FKv55cEHxHeCXNyArdUf05LkcNUpERscwNJFbedpnuudshnXw1477QfgPWZ4S0WNeREpmAYOQiIyOYWgiCk7iazSlFQJiNhUjJUfJICQik+BoUhN5tH31WTcAwE2i/TFt9IAOIwHx/WuuUkcR4qKkaN2iCYOQiEyCYWgi4U29tLa38nM3byG2yLOJ6jmk3iGq966NMO7N5bhw+TqDkIhMgqdJTeRGdrHW9pJynj6tC7lzW0z7xR/r/rsRQaHtAbETeOcmEZkKw9BEGki1f2srOJq0Vg8+dHvKK8Avv/xi6ZKIqJ7jaVITySzQPp/hbR3tpFJ19ok1a9ZYuiQisgMMQxP535XbWtvzSzi5ry6chomILIVhaCKpd4q0tvMkqXYMQiKyJIahiTjxsWt6eeGFFxiERGQxDEMT8fPU/qBu0m7dunUYMmQIg5CILIJhaCIDWjbS2u4q4be8Umlpqfr/AwMDkZCQwCAkIovgJ7OJeLlrn7UiwNPFzJVYJ7lcjk6dOuHbb7+1dClERAxDU2nj10Bru28Dnj6tHCyTnJyMuLg4jSNEIiJLYBiaiCxb+2hSeY72dntRddTowYMHIZVqP4omIjIXhqGJJFy4pbX97zz7vemet08QkbViGJrI7ULtp/4EO73RkEFIRNaMYWgi0W0ba213k9rnFE5ff/01g5CIrBYf1G0iU/qHYOm+ZCiqHArOGtjKQhVZ1pw5cwAAEyZMYBASkdXhkaGJ3MorqRaEAPBH6l0LVGMZGRkZ6pGiIpEIb7/9NoOQiKwSw9BE1h9N1dp+7Fq2mSuxDLlcjn79+uGpp57irRNEZPV4mtREHB20/51RUq4wcyXm9+BgGQDIyclBQECAhasiItKNR4YmkiTP0dpeoazfw0m1jRplEBKRtWMYmkjanWJLl2B2vH2CiGwVw9BE2gZofxxbfcUgJCJbxjA0kdmD22lt7xToYeZKzCM9PR1ZWVkMQiKySRxAYyIBOuYzDA/2Mm8hZtKrVy/s378fQUFBDEIisjk8MjSRnWfTtbYn/Kn9maW2SCaT4dy5c+r3vXr1YhASkU1iGJrIX3/na23Pv1du5kpMQyaTITo6Go888ohGIBIR2SKGoYk0bqB9WiKJo8jMlRhfZRCmpKTAy8sL3t7eli6JiOihWEUYrly5Es2bN4ezszN69uyJEydO6Oy7du1a9O/fHw0bNkTDhg0RExNTY39LeSJM+7117QM9zVyJcT0YhBwsQ0T1hcXDcOvWrZg1axbmz5+PpKQkhIWFYdCgQcjKytLaPzExEePGjcPhw4dx/PhxBAcH47HHHkN6uvZrdJZSUKL9STNSR4t/yw3GICSi+kokCJadYa9nz57o3r07VqxYAQBQKpUIDg7Gv/71L8yePbvW5RUKBRo2bIgVK1Zg4sSJtfbPz8+Hp6cn8vLy4OFhutsc1h9NwXu7LlVr9/eQ4ve3Y0y2XVNJT0/HgAEDGIREZqBQKFBeXj/GFxjCyckJYrHu6e5M8Tlu0VsrysrKcPr0afX0PgDg4OCAmJgYHD9+vE7rKC4uRnl5udVdt1Iotbfb6uPYvLy80KRJEwBgEBKZiCAIuHXrFnJzcy1disV5eXnB398fIpF5xllYNAzv3LkDhUIBPz8/jXY/Pz9cvny5Tut46623EBgYiJgY7UdbpaWlGrMm5OdrH+VpbLrOhlboSkkr5+bmhoSEBOTm5iIoKMjS5RDVS5VB6OvrC1dXV7MFgTURBAHFxcXqS2XmeraxTd90/+GHH2LLli1ITEyEs7P2m9wXL16MuLg4M1cGXL9TpLW9pMJ2wlAul2PHjh14+eWXAagC0c3NzcJVEdVPCoVCHYQ+Pj6WLseiXFxcAABZWVnw9fWt8ZSpsVh0NEejRo0gFouRmZmp0Z6ZmQl/f/8al12yZAk+/PBD7Nu3D507d9bZb86cOcjLy1O/5HK5UWqvTWN37bdWuEls4++PymeNvvLKK/j0008tXQ5RvVd5jdDV1dXClViHyu+Dua6dWjQMJRIJIiIicPDgQXWbUqnEwYMH0bt3b53Lffzxx3j//fexZ88edOvWrcZtSKVSeHh4aLzMYVLfFnDQcoZjbHfrv9ZW9aHbo0aNsnRJRHbDHk+NamPu74PFD1NmzZqF2NhYdOvWDT169MDy5ctRVFSEyZMnAwAmTpyIoKAgLF68GADw0UcfYd68edi8eTOaN2+OW7dUjzdzd3eHu7u7xfajKjeJGNp+lI3dJWavRR+cfYKI7JHFw3Ds2LG4ffs25s2bh1u3biE8PBx79uxRD6qRyWRweGDW+M8//xxlZWV46qmnNNYzf/58LFiwwJyl12jl4WtQaBk4+sn+ZEzuF2L+guqAQUhE9sriYQgAM2fOxMyZM7V+LTExUeN9Wlqa6QsygsNXtD80oLC0wsyV1E1xcTFvqCciu2W7j0OxcnnFtnXDrKurK1577TWEhoYyCInI7jAMTaSpt+2NCJsxYwbOnz/PICQiu8MwNJGnujXR2u7sZD3fcrlcjtGjRyM7O1vdxmHdRNanqKhI56ukpKTOfe/du1drX3tlPZ/M9Uz8ae0PDi8pt46b7isHy2zfvh3Tpk2zdDlEVIPK0fLaXqNHj9bo6+vrq7PvkCFDNPo2b968Wh9DzZ07F23atMGECROQn5+PH3/8EZ07d8aAAQNsYs5TqxhAUx/Jcqz3L6yqo0aXL19u6ZKIyIbt2bMHd+/exalTp/Df//4Xo0ePRk5ODrZv3w6lUomXXnoJBw4csHSZNWIYmkhYEy+k3imu1m7pQ3HePkFkewoLC3V+reqjynRNfwdA4zY1wHij88+cOYPY2Fg0aNAA7777Lnbs2IE333wTLVu2BAD4+PigrKwMEon13mfNMDSRmY+0xM6zf1drj2zTyALVqDAIiWyTPs8ENlXfmrRp0wZ79uxB9+7dsX//fohEInz44Yd49NFH4ejoiMzMTKsOQoBhaDItfRvg2R7B+PbE/Wehers64cPRYRaraeLEiQxCIjK6UaNG4ZdffkHTpk0RGBiIH3/8Ebt370ZYWBhcXFywatUqS5dYK4ahCVWduaKwtAJZ+aXw89A+w4aprVu3DlOmTMGmTZsYhERkNCKRCGvXrtVomzZtGqZOnWozz1q19CWseuuPlGz8npKj0VamELD6yHWz1lFRcf+JN6GhoTh8+DCDkIjMwlaCEGAYmsyNnOqDZwBArqPdFORyOTp37ozdu3ebbZtERLaIYWgi3Zs11Nre3Mc8N7VXDpa5dOkS3njjDY0jRCIi0sQwNJGM/BKt7YUlCpNvu+qo0b1798LRkZeHiYh0YRiayNVM7fcFXbyVb9Lt8vYJIiL9MQxNpEKh/QhQoTDd49gYhEREhmEYmoini/YbTCWOYq3txrBq1SoGIRGRAXghyUSUWma5BwAnR9P9/fHBBx8AAF566SUGIRGRHhiGJhLgqf3G+paNDX8qvDaZmZlo1KgRxGIxxGIxFi9ebNT1ExHZA54mNZF+LRuhXYCHRpvYQYTn+7Uw2jZkMhn69OmD2NhYKHRcoyQiotrxyNBEHBxE+HZKT3x6MBnHrt1BgJcLXhgQgt6hPkZZv0wmQ3R0NFJSUgAAd+7cgZ+fn1HWTURkbxiGJuTtJsGCER2Mvt4Hg7BysAyDkIgsKTIyEqGhoVi/fr1G+6pVq/Dmm28iPz+/2hRS1sR6K6sn5DnF+P6UHL8m34ZS16gaPWgLQg6WISJLEgQBZ86cQURERLWvnTp1CuHh4VYdhACPDE1q7ZEULP7lknpkaecmnvj6+Z7wdHEyaH0MQiKyRsnJySgoKNAZhtHR0RaoSj/WHdU27ObdYo0gBIDzN/Ow+n+Gz1px9epV3Lx5k0FIRDW6lVeC367fQU5RmVm2d/r0aYjFYoSFac7Xeu/ePVy8eBFdu3Y1Sx0Pg2FoIsevZ2u91/C3a3cMXmdMTAx2797NICQind7fdRF9PzqE8Wv/QK/FBx/qD/C6SkpKgkKhgKurK0Qikfrl6uoKhUKhDsNdu3ahTZs2aNWqFdatW2fyuvTB06QmEujlorU9wFN7uy5yuRwlJSVo1aoVAFUgEhFps+fPDHx5NFX9vqxCiQ9/uYzeIT4IC/Yy2XaTkpIwatQozJs3T6N9y5Yt+PTTT9G+fXtUVFRg1qxZOHz4MDw9PREREYFRo0bBx8c4I+wfFo8MTaRPqA/Cq/zyOYlFmDqg7vcZVj5rNCoqCsnJyUaukIjqm30XM7W279fRbixJSUmIiopCeHi4xisnJwedO3eGWCzGiRMn0KFDBwQFBcHd3R1DhgzBvn37TFqXPnhkaCIikQibnu+BNf9Lwa/X7iDIyxnP9wtBhI55Dquq+tBtZ2ftT7QhIqqka3CeoYP26iIlJQW5ublarwsmJSWhZ8+eAIC///4bQUFB6q8FBQUhPT3dZHXpi2FoQh7OTnh9UBu8PqiNXstx9gkiMsS4Hk3x7R8ylFXcnx3Hw9kRI7sE1bDUwzl9+jQcHBwQHh6u0V5eXo4///wT06dPN9m2jYmnSa0Mg5CIDNXarwE2PdcDPVp4w9tNgqg2jfHdtF5o3EBqsm0mJSWhVatWcHfXfO7yxYsXUVpaqj5iDAwM1DgSTE9PR2BgoMnq0pdIEISHvxPchuTn58PT0xN5eXnw8PCofQEzunnzJiIjIxmERHaopKQEqampaNGiRb28LFJRUYF27dohMTFRPYDmt99+0zmApqbvhyk+x3ma1Iq4urrC09OTQUhE9Y6joyM++eQTREdHQ6lU4s0337SakaQAw9CqeHt748CBAyguLkaTJk0sXQ4RkVGNGDECI0aMsHQZWvGaoYXJ5XJs3LhR/d7b25tBSERkZjwytKAHB8sAwKRJkyxbEBGRneKRoYVUHTX66KOPWrokIiK7xTC0AN4+QURkXRiGZsYgJCKyPlYRhitXrkTz5s3h7OyMnj174sSJEzX237ZtG9q2bQtnZ2d06tQJCQkJZqr04eTn5zMIiYiskMXDcOvWrZg1axbmz5+PpKQkhIWFYdCgQcjKytLa/7fffsO4cePw/PPP48yZMxg5ciRGjhyJP//808yV68/DwwOTJ09mEBIRWRmLP4GmZ8+e6N69O1asWAEAUCqVCA4Oxr/+9S/Mnj27Wv+xY8eiqKgIu3btUrf16tUL4eHhWL16da3bs4Yn0OTn51vd02+IyLLq+xNo9GXuJ9BY9MiwrKwMp0+f1pijz8HBATExMTh+/LjWZY4fP15tTr9Bgwbp7F9aWor8/HyNlznJ5XJMnDgRhYWF6jYGIRGRdbHofYZ37tyBQqGAn5+fRrufnx8uX76sdZlbt25p7X/r1i2t/RcvXoy4uDjjFKynqvcRbtq0ySJ1EBFRzSx+zdDU5syZg7y8PPVLLpebZbtVR40uXLjQLNslIrKEyMhIPPfcc9XaV61aBXd3dyiVSi1LWQ+LHhk2atQIYrEYmZmaszBnZmbC399f6zL+/v569ZdKpZBKTTd9iTa8fYKI7IkgCDhz5gzGjBlT7WunTp1CeHg4HBys+9jLotVJJBJERETg4MGD6jalUomDBw+id+/eWpfp3bu3Rn8A2L9/v87+5sYgJCJ7k5ycjIKCAkRERFT72qlTp7S2WxuLR/WsWbOwdu1afPXVV7h06RKmT5+OoqIiTJ48GQAwceJEzJkzR93/lVdewZ49e/DJJ5/g8uXLWLBgAU6dOoWZM2daahfUBEHA008/zSAkIrty+vRpiMVihIWFabTfu3cPFy9eVE/wa80sHoZjx47FkiVLMG/ePISHh+Ps2bPYs2ePepCMTCZDRkaGun+fPn2wefNmrFmzBmFhYYiPj8fOnTvRsWNHS+2Cmkgkwpo1a9CzZ08GIRFZRtoxYOPjwH9aAt+OAW5dMPkmk5KSoFAo4OrqCpFIpH65urpCoVCow3DUqFFo2LAhnnrqKZPXpC+L32dobqa4P0WpVGqcDxcEASKRyCjrJiL7YJT7DLMuA18MABSl99ucvYCZJwF3X6PUqc2jjz4KT09PzJs3T6N9y5Yt+PTTT1FQUACxWIzExEQUFBTgq6++Qnx8fI3rtKv7DOsDmUyGLl264Ndff1W3MQiJyCJOb9QMQgAoyQXOf2/SzSYlJSEqKgrh4eEar5ycHHTu3BlisRgAEBUVhQYNGpi0FkMxDB+CTCZDdHQ0zp8/j3/9619WP3SYiOq5klzt7ffummyTKSkpyM3N1XpdMCkpySYGzwAMQ4NVBmHlYJmff/7Z6ocOE1E912aIjvahJtvk6dOn4eDggPDwcI328vJy/PnnnzYxeAZgGBqkahBysAwRWYX2TwA9pwMi1WlJiKXAo/OBJqY7OktKSkKrVq3g7u6u0X7x4kWUlpbaTBha9KZ7W8QgJCKrNuRDoM+/gOxkwK8j4NbIpJtbvHgxFi9eXK09LCwMtjQ+k2Gop48//phBSETWzTNI9bIyMTExOHfuHIqKitCkSRNs27bNah6YwjDU09KlSwEAb731FoOQiEgPBw4csHQJOjEM6yA7Oxve3t4QiUSQSCTquReJiKh+4ACaWsjlcvTo0QMvv/yyTZ3/JiKiumMY1uDBh24nJCQgJyfH0iUREZEJMAx10Db7hI+Pj6XLIiIiE2AYasFpmIiI7AvDsAoGIRFZEscmqJj7+8AwrOLUqVNIS0tjEBKRWTk5OQEAiouLLVyJdaj8PlR+X0yNt1ZUMWrUKMTHx6Nbt24MQiIyG7FYDC8vL2RlZQGAem5AeyMIAoqLi5GVlQUvLy/1jBemxjCE6tSog4MDgoJUT2wYNWqUhSsiInvk7+8PAOpAtGdeXl7q74c52H0YVl4jdHBwQGJiojoQiYjMTSQSISAgAL6+vigvL7d0ORbj5ORktiPCSnYdhlUHy3A+QiKyBmKx2OxhYO/sdgDNzZs3OWqUiIgA2PGR4bBhwzhqlIiIANjxkSGDkIiIKtndkWHljZxNmzbFzz//DE9PT+Tn51u4KiIiqqvKz2xj3phvd2FYUFAAQDVjfYcOHSxcDRERGSo7Oxuenp5GWZdIsLNn/yiVSvz9999o0KCB2W5ozc/PR3BwMORyOTw8PMyyTWOy9foB7oO1sPV9sPX6gfqxD3l5eWjatCnu3r0LLy8vo6zT7o4MHRwc0KRJE4ts28PDw2Z/+QDbrx/gPlgLW98HW68fqB/74OBgvGEvdjuAhoiIqBLDkIiI7B7D0AykUinmz58PqVRq6VIMYuv1A9wHa2Hr+2Dr9QPcB13sbgANERFRVTwyJCIiu8cwJCIiu8cwJCIiu8cwJCIiu8cwNJKVK1eiefPmcHZ2Rs+ePXHixIka+2/btg1t27aFs7MzOnXqhISEBDNVqp0+9a9duxb9+/dHw4YN0bBhQ8TExNS6v+ag78+g0pYtWyASiTBy5EjTFlgH+u5Dbm4uZsyYgYCAAEilUrRu3dqiv0v61r98+XK0adMGLi4uCA4OxmuvvYaSkhIzVVvdkSNHMHz4cAQGBkIkEmHnzp21LpOYmIiuXbtCKpWiZcuW2Lhxo8nr1EXf+rdv346BAweicePG8PDwQO/evbF3717zFKuDIT+DSseOHYOjoyPCw8P137BAD23Lli2CRCIR1q9fL/z111/C1KlTBS8vLyEzM1Nr/2PHjglisVj4+OOPhYsXLwrvvvuu4OTkJFy4cMHMlavoW//48eOFlStXCmfOnBEuXbokTJo0SfD09BRu3rxp5srv03cfKqWmpgpBQUFC//79hSeeeMI8xeqg7z6UlpYK3bp1E4YOHSocPXpUSE1NFRITE4WzZ8+auXIVfev/9ttvBalUKnz77bdCamqqsHfvXiEgIEB47bXXzFz5fQkJCcI777wjbN++XQAg7Nixo8b+KSkpgqurqzBr1izh4sWLwmeffSaIxWJhz5495im4Cn3rf+WVV4SPPvpIOHHihHD16lVhzpw5gpOTk5CUlGSegrXQdx8q3b17VwgJCREee+wxISwsTO/tMgyNoEePHsKMGTPU7xUKhRAYGCgsXrxYa/8xY8YIw4YN02jr2bOn8MILL5i0Tl30rb+qiooKoUGDBsJXX31lqhJrZcg+VFRUCH369BHWrVsnxMbGWjwM9d2Hzz//XAgJCRHKysrMVWKN9K1/xowZwiOPPKLRNmvWLKFv374mrbOu6vJB/OabbwodOnTQaBs7dqwwaNAgE1ZWN/oEyYPat28vxMXFGb8gA+izD2PHjhXeffddYf78+QaFIU+TPqSysjKcPn0aMTEx6jYHBwfExMTg+PHjWpc5fvy4Rn8AGDRokM7+pmRI/VUVFxejvLwc3t7epiqzRobuw3vvvQdfX188//zz5iizRobsw08//YTevXtjxowZ8PPzQ8eOHbFo0SIoFApzla1mSP19+vTB6dOn1adSU1JSkJCQgKFDh5qlZmOwpn/LxqBUKlFQUGCxf8uG2rBhA1JSUjB//nyD12F3D+o2tjt37kChUMDPz0+j3c/PD5cvX9a6zK1bt7T2v3Xrlsnq1MWQ+qt66623EBgYWO1DwVwM2YejR4/iyy+/xNmzZ81QYe0M2YeUlBQcOnQIzz77LBISEnDt2jW89NJLKC8vf6gPBUMYUv/48eNx584d9OvXD4IgoKKiAi+++CLefvttc5RsFLr+Lefn5+PevXtwcXGxUGWGWbJkCQoLCzFmzBhLl1JnycnJmD17Nn799Vc4OhoeaTwypIfy4YcfYsuWLdixYwecnZ0tXU6dFBQUYMKECVi7di0aNWpk6XIMplQq4evrizVr1iAiIgJjx47FO++8g9WrV1u6tDpJTEzEokWLsGrVKiQlJWH79u3YvXs33n//fUuXZpc2b96MuLg4fP/99/D19bV0OXWiUCgwfvx4xMXFoXXr1g+1Lh4ZPqRGjRpBLBYjMzNToz0zMxP+/v5al/H399ervykZUn+lJUuW4MMPP8SBAwfQuXNnU5ZZI3334fr160hLS8Pw4cPVbUqlEgDg6OiIK1euIDQ01LRFV2HIzyEgIABOTk4Qi8Xqtnbt2uHWrVsoKyuDRCIxac0PMqT+uXPnYsKECZgyZQoAoFOnTigqKsK0adPwzjvvGHV6HlPR9W/Zw8PDpo4Kt2zZgilTpmDbtm0WO8NjiIKCApw6dQpnzpzBzJkzAaj+LQuCAEdHR+zbtw+PPPJIndZl/b9tVk4ikSAiIgIHDx5UtymVShw8eBC9e/fWukzv3r01+gPA/v37dfY3JUPqB4CPP/4Y77//Pvbs2YNu3bqZo1Sd9N2Htm3b4sKFCzh79qz6NWLECERHR+Ps2bMIDg42Z/kADPs59O3bF9euXVMHOQBcvXoVAQEBZg1CwLD6i4uLqwVeZbALNvLIZGv6t2yo7777DpMnT8Z3332HYcOGWbocvXh4eFT7t/ziiy+iTZs2OHv2LHr27Fn3lek95Iaq2bJliyCVSoWNGzcKFy9eFKZNmyZ4eXkJt27dEgRBECZMmCDMnj1b3f/YsWOCo6OjsGTJEuHSpUvC/PnzLX5rhT71f/jhh4JEIhHi4+OFjIwM9augoMAi9QuC/vtQlTWMJtV3H2QymdCgQQNh5syZwpUrV4Rdu3YJvr6+wgcffGAT9c+fP19o0KCB8N133wkpKSnCvn37hNDQUGHMmDEWqV8QBKGgoEA4c+aMcObMGQGAsHTpUuHMmTPCjRs3BEEQhNmzZwsTJkxQ96+8teKNN94QLl26JKxcudKit1boW/+3334rODo6CitXrtT4t5ybm2uR+gVB/32oytDRpAxDI/nss8+Epk2bChKJROjRo4fw+++/q78WGRkpxMbGavT//vvvhdatWwsSiUTo0KGDsHv3bjNXrEmf+ps1ayYAqPaaP3+++Qt/gL4/gwdZQxgKgv778Ntvvwk9e/YUpFKpEBISIixcuFCoqKgwc9X36VN/eXm5sGDBAiE0NFRwdnYWgoODhZdeekm4e/eu+Qv/x+HDh7X+blfWHRsbK0RGRlZbJjw8XJBIJEJISIiwYcMGs9f9YC361B8ZGVljf0sw5GfwIEPDkFM4ERGR3eM1QyIisnsMQyIisnsMQyIisnsMQyIisnsMQyIisnsMQyIisnsMQyIisnsMQyIblZaWBpFIZPDMG/rOIk5UnzEMiazUpEmTIBKJ1C8fHx8MHjwY58+fBwAEBwcjIyMDHTt2rHE9CxYsQHh4uBkqJrJdDEMiKzZ48GBkZGQgIyMDBw8ehKOjIx5//HEAqoda+/v765zDTfhnjkAiqh3DkMiKSaVS+Pv7w9/fH+Hh4Zg9ezbkcjlu375d7TRpYmIiRCIRfvnlF0REREAqleKbb75BXFwczp07pz7C3Lhxo3r9d+7cwahRo+Dq6opWrVrhp59+ssyOElkYw5DIRhQWFuKbb75By5Yt4ePjo7Pf7Nmz8eGHH+LSpUsYOHAg/v3vf6NDhw7qI8yxY8eq+8bFxWHMmDE4f/48hg4dimeffRY5OTnm2B0iq8LJfYms2K5du+Du7g4AKCoqQkBAAHbt2lXjxLfvvfceBg4cqH7v7u4OR0dHrZPsTpo0CePGjQMALFq0CJ9++ilOnDiBwYMHG3lPiKwbjwyJrFjlhMNnz57FiRMnMGjQIAwZMgQ3btzQuYw+ky137txZ/f9ubm7w8PBAVlbWQ9VMZIsYhkRWzM3NDS1btkTLli3RvXt3rFu3DkVFRVi7dm2Ny9SVk5OTxnuRSASlUmlwvUS2imFIZENEIhEcHBxw7969Oi8jkUigUChMWBWR7eM1QyIrVlpailu3bgEA7t69ixUrVqCwsBDDhw+v8zqaN2+O1NRUnD17Fk2aNEGDBg0glUpNVTKRTeKRIZEV27NnDwICAhAQEICePXvi5MmT2LZtG6Kiouq8jtGjR2Pw4MGIjo5G48aN8d1335muYCIbJRIEQbB0EURERJbEI0MiIrJ7DEMiIrJ7DEMiIrJ7DEMiIrJ7DEMiIrJ7DEMiIrJ7DEMiIrJ7DEMiIrJ7DEMiIrJ7DEMiIrJ7DEMiIrJ7DEMiIrJ7/w85T1ROOpjPXwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title('Persistence for natural scenes, coeff=3')\n",
    "persistence(embed_nat, coeff=3)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.5"
  },
  "vscode": {
   "interpreter": {
    "hash": "e7370f93d1d0cde622a1f8e1c04877d8463912d04d973331ad4851f04de6915a"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}