ICA colon cancers.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import scanpy as sc\n",
    "import numpy as np\n",
    "\n",
    "import stabilized_ica as ica\n",
    "import scycle as scc\n",
    "\n",
    "import sys\n",
    "DATA_PATH = '/home/risitop/OneDrive/Documents/PHD/y1/data/COLON_CANCER_CELLLINES/'\n",
    "sys.path.append(DATA_PATH)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def filter_mt(adata):\n",
    "    adata = adata.copy()\n",
    "    adata.var['mt'] = adata.var_names.str.startswith('MT-')\n",
    "    sc.pp.calculate_qc_metrics(adata, qc_vars=['mt'], percent_top=None, log1p=False, inplace=True)\n",
    "    inds1 = np.where((adata.obs['total_counts']>15000) & (adata.obs['total_counts']<50000))\n",
    "    inds2 = np.where(adata.obs['pct_counts_mt']<15)\n",
    "    print(len(inds1[0]),'samples pass the count filter')\n",
    "    print(len(inds2[0]),' samples pass the mt filter')\n",
    "    ind_samples = np.intersect1d(inds1[0],inds2[0])\n",
    "    print('Samples selected',len(ind_samples))\n",
    "    adata = adata[ind_samples,:]\n",
    "    return adata\n",
    "\n",
    "def early_processing(adata):\n",
    "    adata = adata.copy()\n",
    "    adata.obs_names = adata.obs_names.str.decode('utf-8')\n",
    "    adata.var_names = adata.var_names.str.decode('utf-8')\n",
    "    \n",
    "    # Raw QC\n",
    "    adata.var_names_make_unique()\n",
    "    adata.obs_names_make_unique()\n",
    "    sc.pp.filter_cells(adata, min_genes=200)\n",
    "    sc.pp.filter_genes(adata, min_cells=3)\n",
    "    \n",
    "    return adata\n",
    "    \n",
    "def select_variable_genes(adata):\n",
    "    adata = adata.copy()\n",
    "    \n",
    "    # Select variable genes\n",
    "    sc.pp.highly_variable_genes(adata, n_top_genes=10001, n_bins=20)\n",
    "    adata = adata[:,np.where(adata.var['highly_variable'])[0]]\n",
    "    \n",
    "    return adata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Loading data\n",
    "\n",
    "adatas = []\n",
    "for i in (1 + np.arange(5)):\n",
    "    adatas.append(sc.read(DATA_PATH + 'nbu' + str(i) + '.txt', cache=True).T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1115 samples pass the count filter\n",
      "3155  samples pass the mt filter\n",
      "Samples selected 1115\n",
      "Preparing embedding...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "Trying to set attribute `.uns` of view, copying.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Embedding for pooling...\n",
      "Pooling 1115 samples...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Trying to set attribute `.uns` of view, copying.\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "Trying to set attribute `.uns` of view, copying.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-- Scoring G1 genes...\n",
      "WARNING: genes are not in var_names and ignored: ['CDK2', 'CDK4', 'CDK7', 'CCNH', 'E2F4', 'CDKN2A', 'MNAT1']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "Trying to set attribute `.obs` of view, copying.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-- Scoring S-phase...\n",
      "WARNING: genes are not in var_names and ignored: ['UBR7', 'MRE11A', 'RAD51', 'TMEM38B', 'TTI1', 'PRPS2', 'CASP2', 'OGN', 'SLC29A1', 'RAD1', 'RPA2', 'FAM178A', 'CDK2', 'EXOSC9', 'C20orf72', 'OMD', 'YEATS4', 'HAT1', 'RPA1', 'ANKRD32', 'TRIM45', 'SLC43A3', 'PRPF4', 'C4orf21', 'FN3KRP', 'SLC20A1', 'FAM54A', 'HAUS6', 'CCDC15', 'MLF1IP', 'FBXO4', 'HAUS1', 'PDLIM3', 'KIAA1524', 'C11orf82', 'HPRT1', 'KIAA1731', 'KIAA0101', 'C18orf54', 'TMEM194A', 'APEX2', 'STRA13', 'HNRNPF', 'MBOAT1', 'ZNF738', 'ARL6IP6', 'TMEM116', 'DAXX', 'TREX1', 'DDX12P', 'SNHG1']\n",
      "-- Scoring G2-M...\n",
      "WARNING: genes are not in var_names and ignored: ['PAX6', 'TMEM48', 'NEIL3', 'WHSC1', 'DARS2', 'GOT1', 'C15orf23', 'FAM64A', 'SGOL1', 'CASC5', 'TMEM19', 'INCENP', 'MLF1IP', 'NUP35', 'KIAA1524', 'SGOL2', 'C11orf82', 'KIAA0101', 'C18orf54', 'TMEM194A', 'RP11-303E16.2', 'CTD-2510F5.4']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-- Scoring Histones...\n",
      "Found histone genes: H1FX H2AFZ H2AFV H2AFX H2AFJ H3F3B H1F0\n",
      "-- Scalling signatures...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1944 samples pass the count filter\n",
      "4916  samples pass the mt filter\n",
      "Samples selected 1944\n",
      "Preparing embedding...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "Trying to set attribute `.uns` of view, copying.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Embedding for pooling...\n",
      "Pooling 1944 samples...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Trying to set attribute `.uns` of view, copying.\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "Trying to set attribute `.uns` of view, copying.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-- Scoring G1 genes...\n",
      "WARNING: genes are not in var_names and ignored: ['CCND2', 'CCNH', 'CDKN2A']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "Trying to set attribute `.obs` of view, copying.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-- Scoring S-phase...\n",
      "WARNING: genes are not in var_names and ignored: ['MRE11A', 'DERA', 'HMGXB4', 'FOXRED2', 'MTHFD1', 'OGN', 'FAM178A', 'C20orf72', 'ENOSF1', 'RPA1', 'ANKRD32', 'NRM', 'C4orf21', 'FAM54A', 'MLF1IP', 'FBXO4', 'KIAA1524', 'C11orf82', 'KIAA1731', 'KIAA0101', 'TMEM194A', 'STRA13', 'ZNF738', 'VSIG10', 'HIST1H1B', 'ZNF93', 'DAXX', 'TREX1', 'DDX12P', 'SNHG1']\n",
      "-- Scoring G2-M...\n",
      "WARNING: genes are not in var_names and ignored: ['PAX6', 'TMEM48', 'WHSC1', 'DARS2', 'C15orf23', 'FAM64A', 'SGOL1', 'CASC5', 'MLF1IP', 'KIAA1524', 'SGOL2', 'C11orf82', 'KIAA0101', 'TMEM194A', 'HIST1H1B', 'RP11-303E16.2', 'CTD-2510F5.4']\n",
      "-- Scoring Histones...\n",
      "Found histone genes: H3F3A H1FX H2AFZ H2AFY H2AFV H2AFX H2AFY2 H2AFJ H3F3B H1F0\n",
      "-- Scalling signatures...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2118 samples pass the count filter\n",
      "4342  samples pass the mt filter\n",
      "Samples selected 2118\n",
      "Preparing embedding...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "Trying to set attribute `.uns` of view, copying.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Embedding for pooling...\n",
      "Pooling 2118 samples...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Trying to set attribute `.uns` of view, copying.\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "Trying to set attribute `.uns` of view, copying.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-- Scoring G1 genes...\n",
      "WARNING: genes are not in var_names and ignored: ['CDK4', 'CDKN1A', 'MNAT1']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "Trying to set attribute `.obs` of view, copying.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-- Scoring S-phase...\n",
      "WARNING: genes are not in var_names and ignored: ['MRE11A', 'EED', 'TMEM38B', 'CDC7', 'HMGXB4', 'FOXRED2', 'POLE2', 'MTHFD1', 'RNASEH2A', 'LIG1', 'CASP2', 'OGN', 'ERLIN1', 'RAD51C', 'RFC5', 'NUP107', 'TIMELESS', 'NUP155', 'DCLRE1B', 'FAM178A', 'CSE1L', 'NUP85', 'C20orf72', 'OMD', 'YEATS4', 'PARP2', 'HAUS8', 'TUBG1', 'RPA1', 'ANKRD32', 'TRIM45', 'PRPF4', 'GGH', 'C4orf21', 'HADH', 'NEDD1', 'MYO19', 'ITGB3BP', 'CHAC2', 'FAM54A', 'DSN1', 'TEX30', 'MLF1IP', 'HAUS1', 'WDYHV1', 'KIAA1524', 'H2AFZ', 'C11orf82', 'HPRT1', 'KIAA1731', 'KIAA0101', 'C18orf54', 'TMEM194A', 'APEX2', 'STRA13', 'MBOAT1', 'POLE', 'TOP3A', 'ZNF93', 'NUP62', 'TREX1', 'DDX12P', 'HAUS5', 'SNHG1']\n",
      "-- Scoring G2-M...\n",
      "WARNING: genes are not in var_names and ignored: ['TMEM48', 'WHSC1', 'TIMELESS', 'GOT1', 'C15orf23', 'FAM64A', 'SGOL1', 'GGH', 'CASC5', 'MLF1IP', 'SPC24', 'KIAA1524', 'SGOL2', 'H2AFZ', 'C11orf82', 'KIAA0101', 'C18orf54', 'TMEM194A', 'APOBEC3B', 'SKA2', 'IQGAP3', 'HSD17B11', 'RP11-303E16.2', 'CTD-2510F5.4']\n",
      "-- Scoring Histones...\n",
      "Found histone genes: H1FX H1FX-AS1 H2AFV H2AFX H2AFY2 H2AFJ H3F3B H1F0\n",
      "-- Scalling signatures...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2074 samples pass the count filter\n",
      "4951  samples pass the mt filter\n",
      "Samples selected 2074\n",
      "Preparing embedding...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "Trying to set attribute `.uns` of view, copying.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Embedding for pooling...\n",
      "Pooling 2074 samples...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Trying to set attribute `.uns` of view, copying.\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "Trying to set attribute `.uns` of view, copying.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-- Scoring G1 genes...\n",
      "WARNING: genes are not in var_names and ignored: ['CDK2', 'CDK4', 'CCNH', 'E2F4', 'CDKN2A']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "Trying to set attribute `.obs` of view, copying.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-- Scoring S-phase...\n",
      "WARNING: genes are not in var_names and ignored: ['UBR7', 'MRE11A', 'DERA', 'RAD51', 'PMS1', 'TMEM38B', 'CDC7', 'HMGXB4', 'MTHFD1', 'VRK1', 'PRPS2', 'RNASEH2A', 'NUDT1', 'OGN', 'ERLIN1', 'NUP107', 'RAD1', 'C3orf14', 'RPA2', 'FAM178A', 'CDK2', 'NUP85', 'C20orf72', 'OMD', 'YEATS4', 'HAT1', 'RPA1', 'ANKRD32', 'NRM', 'C4orf21', 'HADH', 'MYO19', 'ITGB3BP', 'CHAC2', 'FAM54A', 'HAUS6', 'NPAT', 'MLF1IP', 'KIAA1524', 'C11orf82', 'KIAA1731', 'KIAA0101', 'TMEM194A', 'RFWD3', 'STRA13', 'HNRNPF', 'MBOAT1', 'ZNF738', 'SHMT1', 'KNTC1', 'MCMBP', 'TFDP1', 'TMEM116', 'WDHD1', 'DAXX', 'NUP62', 'TREX1', 'DDX12P', 'SNHG1']\n",
      "-- Scoring G2-M...\n",
      "WARNING: genes are not in var_names and ignored: ['TMEM48', 'EMC9', 'WHSC1', 'C15orf23', 'FAM64A', 'SGOL1', 'CASC5', 'MLF1IP', 'KIAA1524', 'SGOL2', 'C11orf82', 'KIAA0101', 'TMEM194A', 'ARHGAP19', 'RP11-303E16.2', 'CTD-2510F5.4']\n",
      "-- Scoring Histones...\n",
      "Found histone genes: H3F3A H1FX H2AFZ H2AFV H2AFX H2AFY2 H2AFJ H3F3C H3F3B H1F0\n",
      "-- Scalling signatures...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1736 samples pass the count filter\n",
      "4541  samples pass the mt filter\n",
      "Samples selected 1736\n",
      "Preparing embedding...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "Trying to set attribute `.uns` of view, copying.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Embedding for pooling...\n",
      "Pooling 1736 samples...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Trying to set attribute `.uns` of view, copying.\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "Trying to set attribute `.uns` of view, copying.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-- Scoring G1 genes...\n",
      "WARNING: genes are not in var_names and ignored: ['RB1', 'CCND2', 'CCNH', 'E2F4']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "Trying to set attribute `.obs` of view, copying.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-- Scoring S-phase...\n",
      "WARNING: genes are not in var_names and ignored: ['MRE11A', 'HSPB11', 'TMEM38B', 'HMGXB4', 'MTHFD1', 'VRK1', 'PRPS2', 'RNASEH2A', 'LIG1', 'NUDT1', 'OGN', 'RAD51C', 'NUP107', 'TIMELESS', 'NUP155', 'C3orf14', 'DHCR24', 'IVNS1ABP', 'DCLRE1B', 'FAM178A', 'EXOSC8', 'EXOSC9', 'NUP85', 'C20orf72', 'OMD', 'YEATS4', 'ANKRD32', 'TRIM45', 'SMC2', 'NRM', 'CENPO', 'C4orf21', 'CHAC2', 'FAM54A', 'TEX30', 'MLF1IP', 'HAUS1', 'PDLIM3', 'NUP205', 'MIS18A', 'KIAA1524', 'H2AFZ', 'PSIP1', 'C11orf82', 'LRR1', 'HPRT1', 'KIAA1731', 'KIAA0101', 'C18orf54', 'TMEM194A', 'STRA13', 'INSR', 'MBOAT1', 'ZWILCH', 'CSRP2', 'SHMT1', 'ZNF93', 'TFDP1', 'C4orf46', 'NUP62', 'TREX1', 'DDX12P', 'HAUS5', 'SNHG1']\n",
      "-- Scoring G2-M...\n",
      "WARNING: genes are not in var_names and ignored: ['PAX6', 'TDP1', 'TMEM48', 'TRIP13', 'KIAA0586', 'H2AFV', 'WHSC1', 'FOXM1', 'TIMELESS', 'DARS2', 'DDX39A', 'C15orf23', 'FAM64A', 'SGOL1', 'SMC2', 'CASC5', 'CENPO', 'MLF1IP', 'FAM122B', 'KIAA1524', 'SGOL2', 'H2AFZ', 'C11orf82', 'KIAA0101', 'C18orf54', 'TMEM194A', 'ZWILCH', 'TUBB6', 'SKA2', 'PARPBP', 'FGFR1OP', 'RP11-303E16.2', 'CTD-2510F5.4']\n",
      "-- Scoring Histones...\n",
      "Found histone genes: H3F3A H1FX H2AFX H2AFJ H3F3B H1F0\n",
      "-- Scalling signatures...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
      "/home/risitop/.local/share/virtualenvs/new_pipenv-jbJWqQFO/lib/python3.8/site-packages/anndata/_core/anndata.py:1094: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n"
     ]
    }
   ],
   "source": [
    "for i, adata in enumerate(adatas):\n",
    "    adata = early_processing(adata)\n",
    "    adata = filter_mt(adata)\n",
    "    scc.pp.prep_pooling(adata)\n",
    "    adata = select_variable_genes(adata)\n",
    "    scc.pp.score_cell_cycle(adata)\n",
    "    adatas[i] = adata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "import mpl_toolkits.mplot3d.axes3d as p3\n",
    "\n",
    "fig = plt.figure(figsize=(10,10))\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "\n",
    "for adata in adatas:\n",
    "    ax.scatter(adata.obs['G1'].values, adata.obs['G2-M'].values, adata.obs['Histones'].values, s=1)\n",
    "    break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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e28B/l2/k8QUVfO2MgwB4YsFq3nx/I8cf2I9NO2r4yeNLdaWmiIjsM/WESbfU1l6s+gYnkmYA/OE/7/LnF97ba6mNWMUF2bx6w+kJyy0iIsmlpZ4wFWEi7bCrroH5qyr59F9fj7vdgPdvOadzQ4mISJfVUhGW1tlhRJJZj/Q0jhnWZ/cVmU0VNdMuIiLSlIowkX0wZcIosuPcK/OqU4aHkEZERJKRijCRfTBpXDE3Tx5LcUE2BvTPyyQjYkyfW0F1C3PGREREGunqSJF91PRKzacXreHqe+bw/RmLmPapwzGzENOJiEhXp54wkQ4y8bAD+PoZI3lozipmzCsPO46IiHRx6gkT6UBfP2MkBTkZnHXYwLCjiIhIF6eeMJEOlJZmXH7icLIyImyrrm32puMiIiIqwkQSwN25/B+z+eIds9lRUxd2HBER6YJUhIkkgJnxtTNG8s7abXznX/NJtkWRRUQk8VSEiSTIKQcXMvWsQ3hq0Rr++NyysOOIiEgXoyJMJIGuOHk4F4wr5tfPvsN/lq4NO46IiHQhujpSJIHMjJsnj6VHJI0xRb3CjiMiIl2IijCRBMvKiPCLTx0OQH2DU11bT26m/tMTEenuNBwp0kncna/eO4ev3PsW9Q2aqC8i0t2pCBPpJGbGqQf356V31vPLp98OO46IiIRMYyIineiSY4ewZPUW/vbScsYU9eL8I4tbf5GIiKQk9YSJdLIffvJQxg/rw3cfWsDCVVvCjiMiIiFRESbSyXqkp/HnS4/ikIG9qGtoCDuOiIiERMORIiHo1zOTR756AmbGjLnlTJv1NhWV1RQVZDNlwigmjdMwpYhIqlMRJhISM+ORt1Yx5aEF1AVXS5ZXVjF1+kIAFWIiIilOw5EiIfrVM+/sLsAaVdXWM21WWUiJRESks6gIEwlRRWVVu9pFRCR1qAgTCVFRQXa72kVEJHWoCBMJ0ZQJo8jOiOzR1iOSxpQJo0JKJCIinUUT80VC1Dj5ftqsMioqqzggP4vrJ47WpHwRkW5ARZhIyCaNK96r6Hp0XjmAVtQXEUlhKsJEupiGBue+Nz5k/qpKDurfk0OL8sOOJCIiCaA5YSJdTFqa8cdLjqIguwdfvnsOlTt3hR1JREQSIKFFmJlNNLMyM1tmZjfE2T7UzP5jZgvM7AUzG5TIPCLJojAvk79cehTrttZw3f1zqW+ylpiIiCS/hBVhZhYB/gScBYwBLjazMU12+xVwl7sfDtwE3JyoPCLJZtyQ3vz4/EN5+d0NvFC2Luw4IiLSwRI5J2w8sMzdlwOY2QPA+cCSmH3GAN8KHj8PzEhgHpGkc/H4IRw8II+jh/YOO4qIiHSwRA5HFgMrY56vCtpizQcmB48vAPLMrG/TA5nZVWZWamal69evT0hYka6qsQBbsKqSZeu2hZxGREQ6StgT878DnGpmc4FTgXKgvulO7n6ru5e4e0lhYWFnZxQJ3a66Br5yz1tcdfcctlXXhh1HREQ6QCKLsHJgcMzzQUHbbu5e4e6T3X0c8L9BW2UCM4kkpR7pafz6M0ewYuNOvv3gfBo0UV9EJOklsgibDYw0s+Fm1gO4CJgZu4OZ9TOzxgxTgdsTmEckqR03oi/fO/sQnlmylr+8+F7YcUREZD8lrAhz9zrgWmAWsBR40N0Xm9lNZnZesNtpQJmZvQMMAH6WqDwiqeCLJw7j/COL+NUzZcxZsTnsOCIish/MPbmGNUpKSry0tDTsGCKhqdpVz71vrOCyE4aRHgl7WqeIiLTEzOa4e0m8bfoNLpJksntEuOLkEaRH0li3rZqqXXtdyyIiIklARZhIktpRU8f5f3yVG6YvINl6tEVEREWYSNLKzUznkvFDeHReBf949YOw44iISDslcsV8EUmwaz52EAvKt/CTx5fw5xeWsXH7LooKspkyYRSTxjVdG1lERLoS9YSJJLG0NOP00dEFjDds34UD5ZVVTJ2+kBlzy1t+sYiIhEpFmEiS++Nz79F0RlhVbT3TZpWFkkdERNpGRZhIkquorGpXu4iIdA0qwkSSXFFBdrvaRUSka1ARJpLkpkwYRXZGZI+2NIPvfOLgkBKJiEhbqAgTSXKTxhVz8+SxFBdkY0B+djoNHl3UVUREui4tUSGSAiaNK969JEVdfQPn/vFVbpy5hJNGFtIzU/+Zi4h0ReoJE0kx6ZE0fn7BYazdVs2tLy0PO46IiDRDfyKLpKBxQ3rz10uP5pSRhWFHERGRZqgIE0lREw49AIDq2noyImlE0izkRCIiEkvDkSIpbN22aib+9iXufWNF2FFERKQJFWEiKaywZyaDeucw7eky1m2tDjuOiIjEUBEmksLMjJ9MOoya+gZuenxJ2HFERCSGijCRFDe8Xy7XnHYQjy9YzYvvrA87joiIBFSEiXQDV582ghH9cnl4zqqwo4iISEBXR4p0A5npEe698lgG5GWFHUVERALqCRPpJgbmZ5OWZmzYXsPKTTvDjiMi0u2pCBPpRuobnAv/8hrf+dd83D3sOCIi3ZqKMJFuJJJmXH3qgbzx/iYefqs87DgiIt2aijCRbuazJYM5emhvfv7kUjbv2BV2HBGRbktFmEg3k5Zm/OyCw9haVcstT70ddhwRkW5LRZhINzT6gF586eTh7Kytp75Bc8NERMKgJSpEuqnrJ4wmTTf1FhEJjXrCRLqpxgLs3bXbmDm/IuQ0IiLdj3rCRLq53/77Xf7z9lrGDS5gcJ+csOOIiHQb6gkT6eb+95xDiJjxg0cXae0wEZFOpCJMpJsrKsjmm2cezAtl63lq0Zqw44iIdBuWbH/5lpSUeGlpadgxRFJKXX0D5/3xVVZt3kFuZgZrtlRTVJDNlAmjmDSuOOx4IiJJy8zmuHtJvG3qCRMR0iNpTDhsADt3NbB6SzUOlFdWMXX6QmbM1cr6IiKJoCJMRAB4cPYq6pqsGVZVW8+0WWUhJRIRSW0qwkQEgIrKqna1i4jI/lERJiJAdIJ+e9pFRGT/qAgTEQCmTBhFdkZkj7bsjAhTJowKKZGISGrTYq0iArD7Kshps8oor6wiYvCzSYfp6kgRkQRRT5iI7DZpXDGv3nA6f7rkKOodevfsEXYkEZGUpSJMRPZy5pgBHDeiDyTXMoIiIklFw5Eispce6Wk8cNXxYccQEUlp6gkTkWbtqKljScXWsGOIiKQkFWEi0qxr7nuLq++ZQ0ODxiVFRDqaijARadYF44r5cNNOXl++MewoIiIpR0WYiDRrwqEHUJCTwX1vfhh2FBGRlJPQIszMJppZmZktM7Mb4mwfYmbPm9lcM1tgZmcnMo+ItE9WRoQLxhXzzOI1bNxeE3YcEZGUkrAizMwiwJ+As4AxwMVmNqbJbt8HHnT3ccBFwJ8TlUdE9s3F44dQW+889/a6sKOIiKSURC5RMR5Y5u7LAczsAeB8YEnMPg70Ch7nAxUJzCMi++DgAXn859uncmBhz7CjiIiklEQWYcXAypjnq4Bjm+xzI/CMmV0H5AIfT2AeEdlHKsBERDpe2BPzLwbucPdBwNnA3Wa2VyYzu8rMSs2sdP369Z0eUkTgR48uYur0BWHHEBFJGYkswsqBwTHPBwVtsb4EPAjg7q8DWUC/pgdy91vdvcTdSwoLCxMUV0RaUu/Ow2+VU7lzV9hRRERSQiKLsNnASDMbbmY9iE68n9lknw+BMwDM7BCiRZi6ukS6oIvHD2FXXQOPzG36t5SIiOyLhBVh7l4HXAvMApYSvQpysZndZGbnBbt9G7jSzOYD9wOXubuW5hbpgg4tyufwQfk88OZK9J+piMj+S+gNvN39SeDJJm0/jHm8BDgxkRlEpONcdMwQvvfIQuaurOSoIb3DjiMiktQSWoSJSGo578giVmzcwYBeWWFHERFJeirCRKTNemamM/XsQ8KOISKSElSEiUi7uDuvLNsAwMkjdbWyiMi+UhEmIu32syeWkh4xFWEiIvsh7MVaRSTJmBmXHDuEReVbWbhqS9hxRESSloowEWm3848sJisjjftnfxh2FBGRpKUiTETaLT87g7PHDmTmvAp21NSFHUdEJCmpCBORfXLJ+CHk9IiwfP2OsKOIiCQlTcwXkX1y9NDevHbD6aRH9LeciMi+0G9PEdknZkZ6JI26+ga2VdeGHUdEJOmoCBORfVZb38Dpv36RXz/zTthRRESSjoowEdlnGZE0jhxcwPS3VlFdWx92HBGRpKIiTET2y0XjB7O1uo4nF64OO4qISFJRESYi++X4EX0Z1jeHB95cGXYUEZGkoiJMRPaLmXHR+CG8+cEmlq3bHnYcEZGkoSUqRGS/ffroQYwZ2IsR/XLDjiIikjRUhInIfuvbM5NTDtbNvEVE2kPDkSLSIXbuquPnTy7l30vWhh1FRCQpqAgTkQ6RlR7hyYWr+cdr74cdRUQkKagIE5EOkZZmfLZkMK8u28iKjbqfpIhIa1SEiUiH+XTJYNIMHpit5SpERFqjIkxEOswB+VmcPro//ypdRW19Q9hxRES6NBVhItKhRhTmsqOmjoP/9ylOvOU5ZswtDzuSiEiXpCUqRKTDzJhbzt2vf0hVcB/J8soqpk5fCMCkccVhRhMR6XLUEyYiHWbarLLdBVijqtp6ps0qCymRiEjXpSJMRDpMRWVVu9pFRLozFWEi0mGKCrLb1S4i0p2pCBORDjNlwiiyMyJ7tX/uuCEhpBER6dpUhIlIh5k0rpibJ4+luCAbI7pkRU5GGk8vXkt9g4cdT0SkS9HVkSLSoSaNK97jSsjH5lfwwYYduDtg4QUTEeli9qkIM7Me7r6ro8OISOo594iisCOIiHRJrQ5HmtkLZjYs5vl4YHYiQ4lI6nnu7bV87f65NGhYUkQEaFtP2M3A02b2e6AYOAu4PKGpRCTlrNtaw8z5FRw7og//c+zQsOOIiISu1SLM3WeZ2dXAs8AGYJy7r0l4MhFJKZ89ZjCPLajg5iff5mOj+mvZChHp9toyHPkD4A/AKcCNwAtmdk6Cc4lIijEzbpl8OPUNzvceWRhM1BcR6b7askRFX2C8u7/u7n8DJgDfSGgqEUlJg/vk8N2Jo3ihbD0vv7sh7DgiIqFqy3DkN8ws28xGuXuZu68AzuyEbCKSgr5w/DAG987h5JH9wo4iIhKqtgxHngvMA54Onh9pZjMTnEtEUlRamvHxMQMwMzZsrwk7johIaNoyHHkjMB6oBHD3ecCIhCUSkW5h4aotnPLL53lq4eqwo4iIhKItRVitu29p0taQiDAi0n2MHpjHiMJcfvDoYip3au1nEel+2lKELTazS4CImY00sz8AryU4l4ikuIxIGr+88Agqd+7ipseXhB1HRKTTtaUIuw44FKgB7ge2oqsjRaQDjCnqxVdPO5Dpb5Xz/Nvrwo4jItKpWi3C3H2nu/+vux/j7iXB4+rOCCciqe+a0w9i1IA85n64OewoIiKdqtklKszsMaDZ1RTd/byEJBKRbiUzPcKMa04ku0ck7CgiIp2qpXXCfhV8nwwcANwTPL8YWJvIUCLSvTQWYPNXVlLX4Bw9tHfIiUREEq/ZIszdXwQws1+7e0nMpsfMrDThyUSkW6lvcL754Dzq6p2nv3EyOT1aXUtaRCSptWVifq6Z7V4XzMyGA7ltObiZTTSzMjNbZmY3xNn+f2Y2L/h6x8wq25xcRFJKJM34+QVj+XDTTn79zDthxxERSbi2/Kn5TaI37V4OGDAU+HJrLzKzCPAnorc4WgXMNrOZ7r77WnR3/2bM/tcB49oXX0RSyXEj+nLpcUO4/dX3OefwgRw1RMOSIpK62nLvyKfNbCQwOmh6293bcq+R8cAyd18OYGYPAOcDzS0IdDHwozYcV0RS2PUTR/Pc0nVcffcc0tOM1VuqKSrIZsqEUUwaVxx2PBGRDtOW4UiAo4muFXYE8Fkz+3wbXlMMrIx5vipo24uZDQWGA881s/0qMys1s9L169e3MbKIJKO8rAzOPbKITTt2UbGlGgfKK6uYOn0hM+aWhx1PRKTDtOUG3ncTvVLyJOCY4KukxRe130XAQ+5eH2+ju98arFFWUlhY2MFvLSJdzePzV1PXsOcKOVW19UybVRZSIhGRjteWOWElwBh3b3bNsGaUA4Njng8K2uK5CLimnccXkRRVUVkVt728sora+gYyIm3txBcR6bra8ptsEdF1wtprNjDSzIabWQ+ihdbMpjuZ2WigN/D6PryHiKSgooLsZrcd/ZNnee29DZ2YRkQkMdrSE9YPWGJmbxK9fyTQ+or57l5nZtcCs4AIcLu7Lzazm4BSd28syC4CHtiHnjYRSVFTJoxi6vSFVNV+NEMhKyON/zl2KFuqahnZPw+AB0tX8szitUw4dAAfP2QAvXN7hBVZRKTd2lKE3bivB3f3J4Enm7T9sMnzfT6+iKSmxqsgp80qo6KyqtmrI3fVNbC4Ygv/XrqWSJoxflgfJh52AJ8/fihmxoy55a0eQ0QkLJZsHVAlJSVeWqoF+0Ukyt1ZWL6FWYvXMGvxWnIz03n0mhOZMbecKQ/Np7b+o99x2RkRbp48VoWYiHQaM5vT5M5DH21rrggzs1fc/SQz28aeN/I2wN29V8dHbZ2KMBFpybbqWvKyMjjh5v9QsaV6r+3FBdm8esPpISQTke6opSKspXtHnhR8z0tUMBGRjpaXlQHA6jgFGDR/5aWISGfTdd4ikpKau8Kyf6/MTk4iIhKfijARSUlTJowiOyOyR1tWRhpTzzoEd+enjy9hzorNIaUTEVERJiIpatK4Ym6ePJbigmyM6FywWyYfzqRxxazfXsPjC1Zz4V9eY+r0BVTu3BV2XBHphlq9OtLMrgPucfcu8SejJuaLSEfYXlPHb599h3+89gH52RlMPWs0nzp6EGYWdjQRSSEtTcxvS0/YAGC2mT1oZhNNv6FEJAX0zEzn+58cw+PXncSwvjn84ukyttfUhR1LRLqRVoswd/8+MBL4f8BlwLtm9nMzOzDB2UREEu6Qgb146OoTmP6VE8jLyqC2voFbX3qPHSrIRCTB2jQnLLil0Jrgq47ovR4fMrNfJjCbiEinSEszhvTNAeD19zby8yff5szfvMjTi9aQbAtai0jyaMucsK8Dnwc2ALcBM9y91szSgHfdvVN7xDQnTEQSbc6KTfzvI4t4e802Th/dnxMP6svtr3yg2x+JSLvt02KtMfoAk919RWyjuzeY2Sc7IqCISFdy9NA+PH7dSdzx2gf88um3eb5sHY1/r5ZXVjF1+kIAFWIisl/aMhw5omkBZmZ3A7j70oSkEhEJWXokjStOHkGf3B40HTCoqq1n2qyycIKJSMpoSxF2aOwTM4sARycmjohI17J2a03cdt3+SET2V7NFmJlNDW7efbiZbQ2+tgHrgEc7LaGISIiau/1RUUFWJycRkVTTbBHm7jcHN++e5u69gq88d+/r7lM7MaOISGji3f4I4PBBBZ0fRkRSSrMT881stLu/DfzLzI5qut3d30poMhGRLqBx8v20WWVUVFYxsCCL4vxsnlq0hvve+JBLjh0SckIRSVYtXR35beBK4NdxtjlwekISiYh0MZPGFe9xJWRtfQPXP7SAUQfkhZhKRJJdq+uEdTVaJ0xEupq1W6sZ0EtzxERkb/u0TpiZTW7poO4+fX+DiYgku/vf/JCfPr6E+686TvPERKRdWhqOPLeFbQ6oCBORbu/00f350/PLuOwfs3no6uMZUdgz7EgikiQ0HCkisp/e37CDT/3lNbIyIjz8lRM4IF9DkyIS1dJwZEvrhF0afP9WvK9EhRURSTbD++Vyx+Xjqdy5iy/c/ia76hrCjiQiSaCl4cjc4Lsu/xERacXYQfn8/fMlrNpcRY/0ttyMRES6u2aLMHf/W/D9x50XR0QkeZ1wUL/dj5dUbGXkgJ5kRFSQiUh8rf52MLMRZvaYma03s3Vm9qiZjeiMcCIiyai8sooL/vwq1z+0gIaG5Jp3KyKdpy1/ot0HPAgMBIqAfwH3JzKUiEgyKy7I5tqPHcT0ueX8/MmlJNsFUCLSOVqaE9Yox93vjnl+j5lNSVQgEZFUcO3pB7Fhew23vfI+/fIyufrUA8OOJCJdTEuLtfYJHj5lZjcADxBdH+yzwJOdkE1EJGmZGT8691A27azllqfeZmxxPifGzBkTEWmpJ2wO0aLLgudfjtnmwNREhRIRSQVpacavP30E44f1Zu2Wak685TkqKqsoKshmyoRRe9yPUkS6n5aujhzemUFERFJRj/Q08rIymDp9IVW19UB04v7U6QsBVIiJdGNtmROGmR0GjAF2LwPt7nclKpSISCqZNqtsdwHWqKq2nl88/baKMJFurC1LVPwI+EPw9THgl8B5Cc4lIpIyKiqr4rav3lLNb//9TienEZGuoi1LVHwKOANY4+6XA0cA+QlNJSKSQooKsuO25/aIUBxs27Kzlmvve4unFq6mald93P1FJLW0ZTiyyt0bzKzOzHoB64DBCc4lIpIypkwYtcecMIDsjAg/u2Ds7uHIZeu38/p7G3l8wWpyekQ4fXR/Pnn4QE4b1Z+sjEhY0UUkgdpShJWaWQHwd6JXTG4HXk9kKBGRVNJYaE2bVdbs1ZFHD+3NG987gzfe38QTC1fz9KI1PL5gNc9/5zSG98tl7dZq8rMzeHrRmhaPIyLJw9qzkrOZDQN6ufuChCVqRUlJiZeWlob19iIinaKuvoH5qyo5emh0ycZr7n2LZ5esob4B6mN+b2dnRLh58lgVYiJdlJnNcfeSeNvaMjH/P42P3f0Dd18Q2yYiIh0vPZK2uwADuPS4oaRH0vYowCB6leW0WWWdHU9EOkBLK+ZnATlAPzPrzUeLtvYC9CeXiEgnOv7Avs1O2G/u6ksR6dpamhP2ZeAbRG/aPYePirCtwB8TG0tERJoqKsimPE7B1dzVlyLStTU7HOnuvwtWzf+Ou49w9+HB1xHuriJMRKSTTZkwiuwmV0pmZ0SYMmFUSIlEZH80W4SZ2TFmdoC7/yF4/nkze9TMfh9zc28REekkk8YVc/PksRQXZGNAfnY6nykZpEn5IkmqpYn5fwN2AZjZKcAtwF3AFuDWxEcTEZGmJo0r5tUbTmf5zWczuE8OLy/bQEND269yF5Guo6UiLOLum4LHnwVudfeH3f0HwEGJjyYiIs0xM648eQTL1+/g+bJ1YccRkX3QYhFmZo0T988AnovZ1qYbf4uISOKcPXYgRflZ/P3l5WFHEZF90FIRdj/wopk9ClQBLwOY2UFEhyRbZWYTzazMzJaZ2Q3N7PMZM1tiZovN7L525hcR6bYyImlcfuJw/rt8EwtXtenXsoh0Ic32aLn7z4JFWQcCz/hHS+unAde1dmAziwB/As4EVgGzzWymuy+J2WckMBU40d03m1n/ff9RRES6n4vGD+a/yzeGHUNE9kGLw4ru/t84be+08djjgWXuvhzAzB4AzgeWxOxzJfAnd98cHFsTG0RE2iEvK4P/d9kxYccQkX3Q6m2L9kMxsDLm+Sr2Xmn/YOBgM3vVzP5rZhPjHcjMrjKzUjMrXb9+fYLiiogkrzVbqnnu7bVhxxCRdkhkEdYW6cBI4DTgYuDvZlbQdCd3v9XdS9y9pLCwsHMTiogkgVueWsrX7p/H1urasKOISBslsggrBwbHPB8UtMVaBcx091p3fx94h2hRJiIi7fClk0awvaaOf765svWdRaRLSGQRNhsYaWbDzawHcBEws8k+M4j2gmFm/YgOT+paaxGRdho7KJ/jRvTh9lffp7a+Iew4ItIGCSvC3L0OuBaYBSwFHnT3xWZ2k5mdF+w2C9hoZkuA54Ep7q7LfERE9sGVJ49g9ZZqnly4OuwoItIGCV101d2fBJ5s0vbDmMcOfCv4EhGR/fCxUf0ZNSCPZeu2hx1FRNpAK9+LiKSItDRj5nUnkpkeCTuKiLRB2FdHiohIB2oswMorq0JOIiKtUREmIpJiZswt56RfPMe7a7eFHUVEWqAiTEQkxZxycCGZ6Wnc9vL7YUcRkRaoCBMRSTF9cntw4VGDeGRuOeu2VYcdR0SaoSJMRCQFfemk4dQ2NHD36yvCjiIizVARJiKSgkYU9uTjhwzg4TmrqG/wsOOISBxaokJEJEX98JNj6JmZTiTNwo4iInGoCBMRSVGD++QAEF0XG8xUjIl0JRqOFBFJYau3VHH+n15l1uK1YUcRkSZUhImIpLDCnpls3rmL215eHnYUEWlCRZiISApLj6TxxROHU7piM299uDnsOCISQ0WYiEiK+0zJYHplpas3TKSLUREmIpLicjPT+Z/jhvL0ojV8uHFn2HFEJKCrI0VEuoHLThjGkD459O+VGXYUEQmoCBMR6QYG9Mri4vFDwo4hIjE0HCki0k24O3e8+j4PvPlh2FFEBBVhIiLdhpnxn7fX8Ztn32FXXUPYcUS6PRVhIiLdyBUnj2Ddthpmzq8IO4pIt6ciTESkGzllZD8O6JXJDQ8vYPgNT3DiLc8xY2552LFEuiVNzBcR6UYenVfBxh27qGuI3k+yvLKKqdMXAjBpXHGY0US6HfWEiYh0I9NmlVFb73u0VdXWM21WWUiJRLovFWEiIt1IRWVVu9pFJHFUhImIdCNFBdntaheRxFERJiLSjUyZMIrsjMhe7eceMTCENCLdm4owEZFuZNK4Ym6ePJbigmwMGJifxcBemdz1+grmr6wMO55It2Lu3vpeXUhJSYmXlpaGHUNEJGWs21rNhX99jR019fzr6uM5sLBn2JFEUoaZzXH3knjb1BMmItLN9e+VxV1fPJaCnAwqd+4KO45It6F1wkREhOH9cnn2m6cSSTMAausbyIjo73SRRNJ/YSIiArC7APvri+/xP39/g+ra+pATiaQ2FWEiIrKHwb1zmL1iE9feN5e6et3oWyRRVISJiMgezjl8IDeddyj/XrqW7z2ykGS7gEskWWhOmIiI7OVzxw9j/bYafv/cMvr1zOS7E0eHHUkk5agIExGRuL555sFs3lnL4D45YUcRSUkqwkREJC4z4yeTDtv9fMvOWvJzMkJMJJJaNCdMRERaNfuDTZz0i+d4oWxd2FFEUoaKMBERadWoA/IY1CeHr9zzFnM/3Bx2HJGUoCJMRERa1Ssrgzu/eAyFeZl88Y7ZLFu3PexIIklPRZiIiLRJ/7ws7v7SeCJpxhduf5MN22vCjiSS1DQxX0RE2mxo31zuuHw8M+aW81LZen797DtUVFZRVJDNlAmjmDSuOOyIIklDRZiIiLTLYcX5LFu3nanTF1IV3NqovLKKqdMXAqgQE2kjDUeKiEi7TZtVtrsAa1RVW8+0WWUhJRJJPirCRESk3Soqq9rVLiJ7UxEmIiLtVlSQ3a52EdmbijAREWm3KRNGkZ0R2aMtPc2YMmFUSIlEkk9CizAzm2hmZWa2zMxuiLP9MjNbb2bzgq8rEplHREQ6xqRxxdw8eSzFBdkYkJWRxiED8zj/yKKwo4kkjYRdHWlmEeBPwJnAKmC2mc109yVNdv2nu1+bqBwiIpIYk8YV774Ssrq2nsz0NMws5FQiySORPWHjgWXuvtzddwEPAOcn8P1ERCQkWRkRzIyVm3by2nsbwo4jkhQSWYQVAytjnq8K2pq60MwWmNlDZjY43oHM7CozKzWz0vXr1yciq4iIdIApD83na/fPZcvO2rCjiHR5YU/MfwwY5u6HA88Cd8bbyd1vdfcSdy8pLCzs1IAiItJ2P/jkGDbvrOWWp98OO4pIl5fIIqwciO3ZGhS07ebuG9298eZjtwFHJzCPiIgk2KFF+Vx+wjDuf/ND5qzYFHYckS4tkUXYbGCkmQ03sx7ARcDM2B3MbGDM0/OApQnMIyIineCbZx5MUX4W35u+iNr6hrDjiHRZCbs60t3rzOxaYBYQAW5398VmdhNQ6u4zga+Z2XlAHbAJuCxReUREpHPkZqZz0/mH8cI766itbyAjEvbMF5Guydw97AztUlJS4qWlpWHHEBEREWmVmc1x95J42/TniYiIJMxbH27mx48tJtn+4BfpDCrCREQkYeZ9WMk/Xv2AJxauDjuKSJejIkxERBLmCycMY2xxPj9+bAlbqrR2mEgsFWEiIpIwkTTj5xeMZeP2Gn41qyzsOCJdioowERFJqLGD8vnCCcO4540VLFy1Jew4Il1GwpaoEBERafTtT4xiSJ8cRg/MCzuKSJehIkxERBKuZ2Y6l584HID6BieSZiEnEgmfhiNFRKTTvLF8I2f8+gVWbd4ZdhSR0KkIExGRTlPcO5u1W2u4cabWDhNRESYiIp1mUO8cvnXmwfx76TpmLV4bdhyRUKkIExGRTnX5icM4ZGAvbpy5mG3VWjtMui8VYSIi0qnSI2n8/ILDWLutmhnzKsKOIxIaXR0pIiKdbtyQ3jx27UkcWtQr7CgioVERJiIioTisOJ8Zc8u5+amlrNtaQ1FBNlMmjGLSuOKwo4l0ChVhIiISihlzy7n+4QXU1DUAUF5ZxdTpCwFUiEm3oDlhIiISimmzynYXYI2qauuZpntMSjehIkxEREJRUVnVrnaRVKMiTEREQlFUkB23vTAvs5OTiIRDRZiIiIRiyoRRZGdE9mhLTzOmThwdUiKRzqWJ+SIiEorGyffTZpVRUVm1x9WRKzftZO3WakqG9Qk5pUjiqAgTEZHQTBpXHPdKyB88uog339/E7Zcdw3Ej+oaQTCTxNBwpIiJdzi8/dThFBdlc/o/ZvP7exrDjiCSEijAREely+udlcf+VxzGodzZfvEOFmKQmFWEiItIlFeZlct+VxzG4Tza//fc7uHvYkUQ6lOaEiYhIl9VYiGWkpWFmYccR6VDqCRMRkS6tX89M8nMyqK6t58q7Snnl3Q1hRxLpECrCREQkKVTtqmflpp186c7ZvPzu+rDjiOw3FWEiIpIUeuf24L4rj2N4v1yuuLOUl95RISbJTUWYiIgkjT5BITaisCdX3FWqHjFJairCREQkqfTJ7cF9VxzL+GF96NdT95mU5KWrI0VEJOn0zu3BPVccC4C78/eXl3Pnayv2uv1Re8yYWx73FkoiiaIiTEREktqUhxbw0JxVu5+XV1YxdfpCgDYXUTPmljN1+kKqauv3+Rixx1IxJ22hIkxERJLaq8v2XrKiqraeabPKOP/IIq657y0AjGCdMYMzRvdn8lGDqK6tZ8pDC/j3krW7C7DYY/zi6bd5f8MOsjIiZGWk7f4+triAg/r3pLq2nqWrtwbtEV58Zx23PPU21bUNwP4Vc5L6VISJiEhSW7OlOm57RWUVAO+u3U7jWvuNq+6PLc4HoL7BWVy+Za8CLPbYv/vPu3u1f/+cQziof09Wbd7JBX9+rcV8jQWhijBpSkWYiIgktaKCbMqDgqtpu5nx7LdObfa1uZnpPPed0zjxlueaPcZL3/0YNXX1VNc2UF1bT3VtPb1zegBwQH42/7j8GGpqo9u/8c95cd+nIs6xRXR1pIiIJLUpE0aRnRHZoy07I8KUCaM65BiRNCOnRzp9cntQVJDNiMKe9M6NFmE9M9P52Kj+TDxsIJPGFVNckB33+IV5uopT9qYiTEREktqkccXcPHksxQXZGFBckM3Nk8e2a/ivI44B8Ys5gC07d/GiFpeVJizZ7kpfUlLipaWlYccQERGJq+nVkVecPJwHS1fxztpt/OjcMXz++GFhR5ROZGZz3L0k7jYVYSIiIom1o6aOrz8wj56ZEf7vs0diZmFHkk7SUhGmifkiIiIJlpuZzt8+dzR1DQ2YGSs37SQ/J4NeWRlhR5MQqQgTERHpBJE0I5IWob7BueLOUhrcuf2yYxjcJyfsaBISTcwXERHpRJE040fnjmHdthrO/9OrlH6wKexIEhIVYSIiIp3shIP68chXTyA/O4NL/v4Gj8xd1fqLJOWoCBMREQnBiMKePPLVEzh6aG/uePUD6uobwo4knUxzwkREREJSkNODu740nm3VdaRH0theU0fEjOwee681JqknoUWYmU0EfgdEgNvc/ZZm9rsQeAg4xt21/oSIiHQbGZE0+uT2wN352v1z2bC9hk8dVczfXnp/91pjUyaM0r0nU1DChiPNLAL8CTgLGANcbGZj4uyXB3wdeCNRWURERLo6M+OS8UNYunorP5y5hPLKKhwor6xi6vSFzJhbHnZE6WCJnBM2Hljm7svdfRfwAHB+nP1+AvwCqE5gFhERkS7v42MG7L45eKyq2nqmzSpr9/FmzC3nxFueY/gNT3DiLc+pkOtiEjkcWQysjHm+Cjg2dgczOwoY7O5PmNmU5g5kZlcBVwEMGTIkAVFFRES6hvXbauK2l1dWceq05+mfl0n/Xln0z8vkkAN68ZljBu/enpeVTl5mOmbGjLnlTJ2+kKra+t3bp05fCKChzS4itIn5ZpYG/Aa4rLV93f1W4FaI3rYosclERETCU1SQTXll1V7tvbLSOWJQAWu3VrOkYivPb61m3JCC3UXYpbe9wfsbdpCdEaF/r0xWV1azq8kVl409airCuoZEFmHlwOCY54OCtkZ5wGHAC8E9tA4AZprZeZqcLyIi3dWUCaP26MECyM6IcNP5h+1VPNXU1e/xuvLNVazdWs26bTWs2FgR9/gVcQo8CUcii7DZwEgzG060+LoIuKRxo7tvAfo1PjezF4DvqAATEZHurLHQmjarrNWrIzPTP1rK4uyxA/fYNmfF5rg9akUF2R2cWPZVwoowd68zs2uBWUSXqLjd3Reb2U1AqbvPTNR7i4iIJLNJ44r3e8gwXo8awJGD83F3glEoCVFC54S5+5PAk03aftjMvqclMouIiEh30rRHbWB+FgPzs3hi4Rp6PbKIn5x/KOkR3TgnTFoxX0REJEU17VFzd6bNKuOu11dw5cnDGVHYM8R0oiJMRESkmzAzvjtxNF84YRgDemUBsK26lrysjJCTdU/qhxQREelmGguwf7z6PhN/+zLL1m0LOVH3pCJMRESkmzp6aG9q6uq58C+v8+b7m8KO0+2oCBMREemmDh9UwCNfPZG+PXtw6W1v8PiC+GuLSWKoCBMREenGBvfJYfpXTuCIwfl8/YF5fLBhR9iRug1NzBcREenmCnJ6cPeXjuW19zYwrF9u2HG6DfWEiYiICFkZEU4fPQCAl99dz1fvnUPVrvpWXiX7Q0WYiIiI7GHFxp08tWgNF//9v2zcXhN2nJSl4UgRERHZw6XHDaVfz0y+/sBcJvzfi0QiaazbWtPifSyl/dQTJiIiInuZeNgBfOW0A9mwo5a1W2twoLyyiqnTFzJjbnnY8VKCesJEREQkrn+Vrtqrraq2nhseXsDiii0M65fL8H65jOyfR2FeZovHmjG3fPd9LNWjFqUiTEREROKqqKyK215d18Bdr6+gpq4BgE8fPYhpnz4Cd+frD8xjcJ9shvXNZURhLsP65vLSO+v53iOLqKqNTvRv7FEDunUhpiJMRERE4ioqyKY8TiFWXJDNy9/9GGu2VvP+hh3kZ0fvPbmlqpaF5Vt4cuFq6hp89/55Wem7C7BGVbX13PLU25x/ZBFmltgfpIsyd299ry6kpKTES0tLw44hIiKS8mbMLWfq9IV7FFDZGRFunjy2xR6s2voGVm2u4oMNO1i+YQc/fXwJzVUb2RkRfvOZIzhr7EAqKqv499K1DOmTw5A+OQzqnUOP9I+mryfjkKaZzXH3knjb1BMmIiIicTUWOO0tfDIiaQwP5ot9DLj9lffj9qjlZ2dw4VGDdi8QO39lJT98dPHu7WkGA/Oz+fP/HMX7G3Zw/cMLdg+BpsKQpnrCREREJKHa2qPm7qzbVsOKjTv5cNNOPty4gxWbdvLdiaP5zF9fj1vI5WWl8+oNp9MrK6NTfpb2Uk+YiIiIhKatPWpmxoBeWQzolcX44X322NbcRQLbquvoEYkOWf7j1fdZtm47Rw/tzdFDezOkT06Xnm+mIkxEREQSbtK44v0aNmzuIoGi/CyyMiIAlG+u4tF5Fdz7xocA9OuZyemjC/nlp44AoKHBSUuzLjO3TEWYiIiIdHlTJoyKO6T53Ymjdz///ifHMPXsQ3h33TZKP9jMWys2kxH5aGL/OX94hapddazaXLX76s0w55apCBMREZEur61DmpE0Y/QBvRh9QC8uPW7o7vaGBueUg/vxj1c+2GP5DIgulzFtVpmKMBEREZF49mdIMy3NmHrWIdz64vK425ubc5ZIunekiIiIdBtFBdntak8kFWEiIiLSbUyZMIrsYCJ/o+yMCFMmjOr0LBqOFBERkW5jXxegTQQVYSIiItKt7O9yGR1Fw5EiIiIiIVARJiIiIhICFWEiIiIiIVARJiIiIhICFWEiIiIiIVARJiIiIhICFWEiIiIiIVARJiIiIhICFWEiIiIiIVARJiIiIhICFWEiIiIiIVARJiIiIhICc/ewM7SLma0HVrSwSz9gQyfF6W50bhNL5zdxdG4TS+c3cXRuE6szzu9Qdy+MtyHpirDWmFmpu5eEnSMV6dwmls5v4ujcJpbOb+Lo3CZW2OdXw5EiIiIiIVARJiIiIhKCVCzCbg07QArTuU0snd/E0blNLJ3fxNG5TaxQz2/KzQkTERERSQap2BMmIiIi0uWpCBMREREJQcoUYWY20czKzGyZmd0Qdp5UY2YfmNlCM5tnZqVh50l2Zna7ma0zs0UxbX3M7Fkzezf43jvMjMmqmXN7o5mVB5/feWZ2dpgZk5WZDTaz581siZktNrOvB+367HaAFs6vPr/7ycyyzOxNM5sfnNsfB+3DzeyNoHb4p5n16NRcqTAnzMwiwDvAmcAqYDZwsbsvCTVYCjGzD4ASd9eigR3AzE4BtgN3ufthQdsvgU3ufkvwh0Rvd78+zJzJqJlzeyOw3d1/FWa2ZGdmA4GB7v6WmeUBc4BJwGXos7vfWji/n0Gf3/1iZgbkuvt2M8sAXgG+DnwLmO7uD5jZX4H57v6XzsqVKj1h44Fl7r7c3XcBDwDnh5xJpFnu/hKwqUnz+cCdweM7if7ylXZq5txKB3D31e7+VvB4G7AUKEaf3Q7RwvmV/eRR24OnGcGXA6cDDwXtnf7ZTZUirBhYGfN8FfrgdjQHnjGzOWZ2VdhhUtQAd18dPF4DDAgzTAq61swWBMOVGi7bT2Y2DBgHvIE+ux2uyfkFfX73m5lFzGwesA54FngPqHT3umCXTq8dUqUIk8Q7yd2PAs4CrgmGfCRBPDpPIPnnCnQdfwEOBI4EVgO/DjVNkjOznsDDwDfcfWvsNn1291+c86vPbwdw93p3PxIYRHQEbXS4iVKnCCsHBsc8HxS0SQdx9/Lg+zrgEaIfYOlYa4M5IY1zQ9aFnCdluPva4BdwA/B39PndZ8F8moeBe919etCsz24HiXd+9fntWO5eCTwPHA8UmFl6sKnTa4dUKcJmAyODqxx6ABcBM0POlDLMLDeYJIqZ5QKfABa1/CrZBzOBLwSPvwA8GmKWlNJYIAQuQJ/ffRJMbv5/wFJ3/03MJn12O0Bz51ef3/1nZoVmVhA8ziZ6Id9SosXYp4LdOv2zmxJXRwIEl+z+FogAt7v7z8JNlDrMbATR3i+AdOA+nd/9Y2b3A6cB/YC1wI+AGcCDwBBgBfAZd9cE83Zq5tyeRnQox4EPgC/HzGGSNjKzk4CXgYVAQ9D8PaLzlvTZ3U8tnN+L0ed3v5jZ4UQn3keIdkA96O43Bf9/ewDoA8wFLnX3mk7LlSpFmIiIiEgySZXhSBEREZGkoiJMREREJAQqwkRERERCoCJMREREJAQqwkRERERCoCJMRDqNmW2PeXywmT1pZu+a2Vtm9qCZDYjZ/lszKzezbvF7yswKzOyrYecQkc7TLX65iUjXYmZZwBPAX9x9ZHBLrD8DhcH2NKKLUq4ETg0taOcqAFSEiXQjKsJEJAyXAK+7+2ONDe7+grs3rgR+GrCY6D3zLo53gOBmvL8ys0XBjY2vC9rPMLO5ZrYwuNlxZtD+gZndbGbzzKzUzI4ys1lm9p6ZXR3sc5qZvWRmT5hZmZn9tbEnzswuDo65yMx+EZNju5n9zMzmm9l/G3vzghW6Hzaz2cHXiUH7jUGuF8xsuZl9LTjULcCBQb5pZjYwyDIveM+TO+rki0jXoCJMRMJwGDCnhe0XA/cTvVPDOcH99Jq6ChgGHOnuhwP3Bj1sdwCfdfexRO/w8JWY13wY3MD35WC/TwHHAT+O2Wc8cB0whuhNkyebWRHwC+B0oiuXH2Nmk4L9c4H/uvsRwEvAlUH774D/c/djgAuB22LeYzQwIXivHwU/3w3Ae+5+pLtPIVqozgryHgHMa+F8iUgSUhEmIl1KcP/Xs4EZ7r6V6C1xJsTZ9ePA39y9DiC4Tc4o4H13fyfY507glJjXNN5TdiHwhrtvc/f1QE3jfeWAN919ubvXEy0ETwKOAV5w9/XB+90bc9xdwOPB4zlEC8PGfH80s3nB+/Yys57BtifcvcbdNxC92fXuuXAxZgOXm9mNwFh33xb3hIlI0kpvfRcRkQ63mObnek0gOj9qYfR+xuQAVXxU6OyPxnvCNcQ8bnze+Puw6b3cWru3W61/dP+3+pjjpAHHuXt17M7BzxT73rGv+ehN3V8ys1OAc4A7zOw37n5XK1lEJImoJ0xEwnAfcIKZndPYYGanmNlhRIcir3D3Ye4+DBgOnGlmOU2O8SzwZTNLD17fBygDhpnZQcE+nwNebGe28WY2PJgL9lngFeBN4FQz62dmkSBja8d9huiwZuPPd2Qr+28D8mL2Hwqsdfe/Ex3KPKqdP4eIdHEqwkSk07l7FfBJ4LpgiYolRK8M3AZMJHrlZOO+O4gWQuc2OcxtwIfAAjObD1wS9DpdDvzLzBYS7eH6azvjzQb+CCwF3gcecffVROdsPQ/MB+a4+6OtHOdrQElw0cAS4OqWdnb3jcCrwST8aUQvTphvZnOJFoO/a+fPISJdnH3Uiy4i0r2Z2WnAd9z9kyFHEZFuQD1hIiIiIiFQT5iIiIhICNQTJiIiIhICFWEiIiIiIVARJiIiIhICFWEiIiIiIVARJiIiIhKC/w94YVPGm1pmWQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sICAs = []\n",
    "for adata in adatas:\n",
    "    sICA = ica.StabilizedICA(n_components=30, max_iter=1000, n_jobs=4)\n",
    "    sICA.fit(adata.X , n_runs = 30 , plot = True , normalize = True)\n",
    "    sICAs.append(sICA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i, sICA in enumerate(sICAs):\n",
    "    np.savetxt(DATA_PATH + 'ica/nbu%i_S.txt' % (i+1), sICA.S_, delimiter=',')\n",
    "    np.savetxt(DATA_PATH + 'ica/nbu%i_A.txt' % (i+1), sICA.A_, delimiter=',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}