alternative_clustering.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Clustring other than hSBM\n",
    "Run LDA, wgcna, topic mapping and hierarchical"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-02-28 12:02:10.960576: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA\n",
      "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
      "2023-02-28 12:02:11.050577: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory\n",
      "2023-02-28 12:02:11.050594: I tensorflow/compiler/xla/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.\n",
      "2023-02-28 12:02:11.658807: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory\n",
      "2023-02-28 12:02:11.658870: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory\n",
      "2023-02-28 12:02:11.658879: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Author: Filippo_Valle\n",
      "\n",
      "Last updated: Tue Feb 28 2023\n",
      "\n",
      "Python implementation: CPython\n",
      "Python version       : 3.9.7\n",
      "IPython version      : 8.9.0\n",
      "\n",
      "pandas    : 1.5.3\n",
      "numpy     : 1.23.5\n",
      "seaborn   : 0.12.2\n",
      "tensorflow: 2.11.0\n",
      "sklearn   : 0.0\n",
      "scipy     : 1.10.0\n",
      "topicpy   : 0.2.0\n",
      "\n",
      "Compiler    : GCC 9.4.0\n",
      "OS          : Linux\n",
      "Release     : 5.19.0-31-generic\n",
      "Machine     : x86_64\n",
      "Processor   : x86_64\n",
      "CPU cores   : 12\n",
      "Architecture: 64bit\n",
      "\n",
      "Git hash: 693a7742fc39df010099b6115ab8da1628053ad0\n",
      "\n",
      "Git repo: git@github.com:fvalle1/topics.git\n",
      "\n",
      "Git branch: HEAD\n",
      "\n",
      "Watermark: 2.3.1\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark -v -m  -u -n -p pandas,numpy,seaborn,tensorflow,sklearn,scipy,topicpy -a Filippo_Valle -g -r -b -w"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt  \n",
    "import pandas as pd  \n",
    "import numpy as np \n",
    "import seaborn as sns\n",
    "import os, sys\n",
    "from topicpy.hsbmpy import get_file, define_labels, get_cluster_given_l, get_max_available_L\n",
    "from topicpy.geneontology import topic_analysis\n",
    "import tensorflow as tf\n",
    "from sklearn.metrics import homogeneity_completeness_v_measure\n",
    "import scipy.cluster.hierarchy as shc\n",
    "from sklearn.cluster import AgglomerativeClustering\n",
    "from scipy.stats import pearsonr\n",
    "from sklearn.decomposition import LatentDirichletAllocation\n",
    "from topicpy.lda import lda"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.chdir('/home/jovyan/work/phd/topics/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/home/jovyan/work/phd/topics/unified'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "level = 2\n",
    "directory=f\"{os.getcwd()}/unified\"\n",
    "#L=get_max_available_L(directory)\n",
    "os.chdir(directory)\n",
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 18154 entries, A1BG to hsa-mir-1199\n",
      "Columns: 9147 entries, TCGA-KM-8639-01A-11R-2403-07 to TCGA-64-1680-01A-02R-0946-07\n",
      "dtypes: float64(9147)\n",
      "memory usage: 1.2+ GB\n",
      "None\n",
      "Maximum expression value: 4.8e+11\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TCGA-KM-8639-01A-11R-2403-07</th>\n",
       "      <th>TCGA-KL-8339-01A-11R-2315-07</th>\n",
       "      <th>TCGA-KN-8419-01A-11R-2315-07</th>\n",
       "      <th>TCGA-KM-8438-01A-11R-2315-07</th>\n",
       "      <th>TCGA-KL-8337-01A-11R-2315-07</th>\n",
       "      <th>TCGA-KL-8324-01A-11R-2315-07</th>\n",
       "      <th>TCGA-KL-8325-01A-11R-2315-07</th>\n",
       "      <th>TCGA-KM-8442-01A-11R-2315-07</th>\n",
       "      <th>TCGA-KO-8411-01A-11R-2315-07</th>\n",
       "      <th>TCGA-KN-8418-01A-11R-2315-07</th>\n",
       "      <th>...</th>\n",
       "      <th>TCGA-78-7163-01A-12R-2066-07</th>\n",
       "      <th>TCGA-44-5645-01A-01R-A278-07</th>\n",
       "      <th>TCGA-86-7713-01A-11R-2066-07</th>\n",
       "      <th>TCGA-69-7764-01A-11R-2170-07</th>\n",
       "      <th>TCGA-86-7954-01A-11R-2187-07</th>\n",
       "      <th>TCGA-86-8056-01A-11R-2241-07</th>\n",
       "      <th>TCGA-64-5815-01A-01R-1628-07</th>\n",
       "      <th>TCGA-44-3398-01A-01R-1107-07</th>\n",
       "      <th>TCGA-55-6970-01A-11R-1949-07</th>\n",
       "      <th>TCGA-64-1680-01A-02R-0946-07</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hugo_Symbol</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A1BG</th>\n",
       "      <td>49.21</td>\n",
       "      <td>16.88</td>\n",
       "      <td>56.68</td>\n",
       "      <td>85.22</td>\n",
       "      <td>46.18</td>\n",
       "      <td>37.59</td>\n",
       "      <td>32.36</td>\n",
       "      <td>191.67</td>\n",
       "      <td>36.79</td>\n",
       "      <td>48.87</td>\n",
       "      <td>...</td>\n",
       "      <td>19.53</td>\n",
       "      <td>215.77</td>\n",
       "      <td>420.68</td>\n",
       "      <td>114.36</td>\n",
       "      <td>299.25</td>\n",
       "      <td>122.64</td>\n",
       "      <td>447.82</td>\n",
       "      <td>764.36</td>\n",
       "      <td>397.93</td>\n",
       "      <td>1477.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A2M</th>\n",
       "      <td>2335.28</td>\n",
       "      <td>1857.60</td>\n",
       "      <td>3467.27</td>\n",
       "      <td>6516.03</td>\n",
       "      <td>2271.40</td>\n",
       "      <td>2209.26</td>\n",
       "      <td>1674.06</td>\n",
       "      <td>2119.22</td>\n",
       "      <td>2537.92</td>\n",
       "      <td>2047.00</td>\n",
       "      <td>...</td>\n",
       "      <td>1277.29</td>\n",
       "      <td>17437.64</td>\n",
       "      <td>10154.69</td>\n",
       "      <td>9409.14</td>\n",
       "      <td>7911.95</td>\n",
       "      <td>13215.02</td>\n",
       "      <td>11112.30</td>\n",
       "      <td>13776.25</td>\n",
       "      <td>11992.79</td>\n",
       "      <td>4769.75</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 9147 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             TCGA-KM-8639-01A-11R-2403-07  TCGA-KL-8339-01A-11R-2315-07  \\\n",
       "Hugo_Symbol                                                               \n",
       "A1BG                                49.21                         16.88   \n",
       "A2M                               2335.28                       1857.60   \n",
       "\n",
       "             TCGA-KN-8419-01A-11R-2315-07  TCGA-KM-8438-01A-11R-2315-07  \\\n",
       "Hugo_Symbol                                                               \n",
       "A1BG                                56.68                         85.22   \n",
       "A2M                               3467.27                       6516.03   \n",
       "\n",
       "             TCGA-KL-8337-01A-11R-2315-07  TCGA-KL-8324-01A-11R-2315-07  \\\n",
       "Hugo_Symbol                                                               \n",
       "A1BG                                46.18                         37.59   \n",
       "A2M                               2271.40                       2209.26   \n",
       "\n",
       "             TCGA-KL-8325-01A-11R-2315-07  TCGA-KM-8442-01A-11R-2315-07  \\\n",
       "Hugo_Symbol                                                               \n",
       "A1BG                                32.36                        191.67   \n",
       "A2M                               1674.06                       2119.22   \n",
       "\n",
       "             TCGA-KO-8411-01A-11R-2315-07  TCGA-KN-8418-01A-11R-2315-07  ...  \\\n",
       "Hugo_Symbol                                                              ...   \n",
       "A1BG                                36.79                         48.87  ...   \n",
       "A2M                               2537.92                       2047.00  ...   \n",
       "\n",
       "             TCGA-78-7163-01A-12R-2066-07  TCGA-44-5645-01A-01R-A278-07  \\\n",
       "Hugo_Symbol                                                               \n",
       "A1BG                                19.53                        215.77   \n",
       "A2M                               1277.29                      17437.64   \n",
       "\n",
       "             TCGA-86-7713-01A-11R-2066-07  TCGA-69-7764-01A-11R-2170-07  \\\n",
       "Hugo_Symbol                                                               \n",
       "A1BG                               420.68                        114.36   \n",
       "A2M                              10154.69                       9409.14   \n",
       "\n",
       "             TCGA-86-7954-01A-11R-2187-07  TCGA-86-8056-01A-11R-2241-07  \\\n",
       "Hugo_Symbol                                                               \n",
       "A1BG                               299.25                        122.64   \n",
       "A2M                               7911.95                      13215.02   \n",
       "\n",
       "             TCGA-64-5815-01A-01R-1628-07  TCGA-44-3398-01A-01R-1107-07  \\\n",
       "Hugo_Symbol                                                               \n",
       "A1BG                               447.82                        764.36   \n",
       "A2M                              11112.30                      13776.25   \n",
       "\n",
       "             TCGA-55-6970-01A-11R-1949-07  TCGA-64-1680-01A-02R-0946-07  \n",
       "Hugo_Symbol                                                              \n",
       "A1BG                               397.93                       1477.58  \n",
       "A2M                              11992.79                       4769.75  \n",
       "\n",
       "[2 rows x 9147 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"mainTable.csv\", index_col=[0], header=[0]).dropna()\n",
    "totalobjcets = len(df.columns)\n",
    "print(df.info())\n",
    "print(\"Maximum expression value: %.1e\"%df.max().max())\n",
    "df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>primary_site</th>\n",
       "      <th>status</th>\n",
       "      <th>dataset</th>\n",
       "      <th>dataset_status</th>\n",
       "      <th>tissue_hd</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>TCGA-KM-8639-01A-11R-2403-07</th>\n",
       "      <td>Kidney</td>\n",
       "      <td>tumor</td>\n",
       "      <td>tcga</td>\n",
       "      <td>tcga_tumor</td>\n",
       "      <td>Kidney_tcga</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCGA-KL-8339-01A-11R-2315-07</th>\n",
       "      <td>Kidney</td>\n",
       "      <td>tumor</td>\n",
       "      <td>tcga</td>\n",
       "      <td>tcga_tumor</td>\n",
       "      <td>Kidney_tcga</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCGA-KN-8419-01A-11R-2315-07</th>\n",
       "      <td>Kidney</td>\n",
       "      <td>tumor</td>\n",
       "      <td>tcga</td>\n",
       "      <td>tcga_tumor</td>\n",
       "      <td>Kidney_tcga</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             primary_site status dataset dataset_status  \\\n",
       "TCGA-KM-8639-01A-11R-2403-07       Kidney  tumor    tcga     tcga_tumor   \n",
       "TCGA-KL-8339-01A-11R-2315-07       Kidney  tumor    tcga     tcga_tumor   \n",
       "TCGA-KN-8419-01A-11R-2315-07       Kidney  tumor    tcga     tcga_tumor   \n",
       "\n",
       "                                tissue_hd  \n",
       "TCGA-KM-8639-01A-11R-2403-07  Kidney_tcga  \n",
       "TCGA-KL-8339-01A-11R-2315-07  Kidney_tcga  \n",
       "TCGA-KN-8419-01A-11R-2315-07  Kidney_tcga  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_files = pd.read_csv(\"files.dat\", index_col=[0])\n",
    "df_files.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "true_out = []\n",
    "label = \"primary_site\"\n",
    "if label not in df_files.columns:\n",
    "    raise AttributeError(f\"{label} not Avaliable\")\n",
    "for sample in df.columns.values:\n",
    "    try:\n",
    "        true_out.append(get_file(sample, df_files)[label])\n",
    "    except:\n",
    "        print(*sys.exc_info())\n",
    "        true_out.append('unknown')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "scores = {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  1,   6,  20, 128, 800])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "try:\n",
    "    with open(\"clustersizes.txt\",'r') as f:\n",
    "        xl = np.sort(np.array(f.read().split(sep='\\n'))[:-1].astype(int))\n",
    "except:\n",
    "        xl=np.linspace(2,50,3, dtype=int)\n",
    "xl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  1,   6,  20, 128])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xl=xl[:-1]\n",
    "xl"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# hierarchical"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure()\n",
    "dend = shc.dendrogram(shc.linkage(np.log2(df.T.values+1), method='average'), leaf_rotation=90., leaf_font_size=8.,)\n",
    "plt.xlabel(\"samples\", fontsize=16)\n",
    "plt.show()\n",
    "fig.savefig(\"hierarchical_dendogram.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hierarchical-log\n",
      "testing with 1 clusters\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.9/site-packages/sklearn/cluster/_agglomerative.py:983: FutureWarning: Attribute `affinity` was deprecated in version 1.2 and will be removed in 1.4. Use `metric` instead\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "saving clusters\n",
      "testing with 6 clusters\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/sklearn/cluster/_agglomerative.py:983: FutureWarning: Attribute `affinity` was deprecated in version 1.2 and will be removed in 1.4. Use `metric` instead\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "saving clusters\n",
      "testing with 20 clusters\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/sklearn/cluster/_agglomerative.py:983: FutureWarning: Attribute `affinity` was deprecated in version 1.2 and will be removed in 1.4. Use `metric` instead\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "saving clusters\n",
      "testing with 128 clusters\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/sklearn/cluster/_agglomerative.py:983: FutureWarning: Attribute `affinity` was deprecated in version 1.2 and will be removed in 1.4. Use `metric` instead\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "saving clusters\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
      "/tmp/ipykernel_23451/2872728871.py:24: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
      "/tmp/ipykernel_23451/2872728871.py:25: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n"
     ]
    }
   ],
   "source": [
    "#hierarchical\n",
    "scores['hierarchical']={\n",
    "    'h':[],\n",
    "    'c':[],\n",
    "    'V':[]\n",
    "}\n",
    "def pearson_affinity(M, parallel=True):\n",
    "    return 1. - np.array([[pearsonr(a,b)[0] for a in M] for b in M])\n",
    "\n",
    "print(\"hierarchical-log\")\n",
    "os.system('mkdir -p hierarchical-log')\n",
    "hierarchical_model = AgglomerativeClustering(n_clusters=1, affinity='euclidean', linkage='complete')  \n",
    "for l,x in enumerate(xl):\n",
    "    print(\"testing with %d clusters\"%x)\n",
    "    hierarchical_model.n_clusters=x\n",
    "    data = np.log2(1.+df.T.values)\n",
    "    #data = df.T.values\n",
    "    out = hierarchical_model.fit_predict(data)\n",
    "        \n",
    "    #save clusters\n",
    "    print(\"saving clusters\")\n",
    "    df_clusters = pd.DataFrame(index=np.arange(len(df.columns)))\n",
    "    for c in np.arange(out.max()+1)[::-1]:\n",
    "        c_objects = df.columns[np.argwhere(out==c)].T[0]\n",
    "        df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(len(df.columns)-len(c_objects))])))\n",
    "    df_clusters.dropna(axis=0,how='all', inplace=True)\n",
    "    df_clusters.to_csv(\"hierarchical-log/hierarchical-log_level_%d_clusters.csv\"%(l), index=False, header=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# LDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"topicsizes.txt\",'r') as f:\n",
    "    tl = np.array(f.read().split(sep='\\n'))[:-1].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[  1   6  20 128]\n"
     ]
    }
   ],
   "source": [
    "xl = xl[:5]\n",
    "print(xl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "model created\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 18154 entries, A1BG to hsa-mir-1199\n",
      "Columns: 9147 entries, TCGA-KM-8639-01A-11R-2403-07 to TCGA-64-1680-01A-02R-0946-07\n",
      "dtypes: float64(9147)\n",
      "memory usage: 1.2+ GB\n",
      "None\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 9147 entries, TCGA-KM-8639-01A-11R-2403-07 to TCGA-64-1680-01A-02R-0946-07\n",
      "Data columns (total 5 columns):\n",
      " #   Column          Non-Null Count  Dtype \n",
      "---  ------          --------------  ----- \n",
      " 0   primary_site    9147 non-null   object\n",
      " 1   status          9147 non-null   object\n",
      " 2   dataset         9147 non-null   object\n",
      " 3   dataset_status  9147 non-null   object\n",
      " 4   tissue_hd       9147 non-null   object\n",
      "dtypes: object(5)\n",
      "memory usage: 428.8+ KB\n",
      "None\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 9147 entries, TCGA-KM-8639-01A-11R-2403-07 to TCGA-64-1680-01A-02R-0946-07\n",
      "Data columns (total 5 columns):\n",
      " #   Column          Non-Null Count  Dtype \n",
      "---  ------          --------------  ----- \n",
      " 0   primary_site    9147 non-null   object\n",
      " 1   status          9147 non-null   object\n",
      " 2   dataset         9147 non-null   object\n",
      " 3   dataset_status  9147 non-null   object\n",
      " 4   tissue_hd       9147 non-null   object\n",
      "dtypes: object(5)\n",
      "memory usage: 686.8+ KB\n",
      "None\n",
      "lda\n",
      "testing with 1 clusters and 1 topics\n",
      "lda()\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.0s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration: 1 of max_iter: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.0s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.0s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration: 2 of max_iter: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.0s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.0s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.0s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.0s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.0s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.0s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration: 3 of max_iter: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.0s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.0s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.0s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration: 4 of max_iter: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.0s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.0s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration: 5 of max_iter: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    1.7s remaining:    1.7s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    1.9s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    1.8s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "saving word-distr\n",
      "saving topic-distr\n",
      "WARNING:tensorflow:From /opt/conda/lib/python3.9/site-packages/tensorflow/python/autograph/pyct/static_analysis/liveness.py:83: Analyzer.lamba_check (from tensorflow.python.autograph.pyct.static_analysis.liveness) is deprecated and will be removed after 2023-09-23.\n",
      "Instructions for updating:\n",
      "Lambda fuctions will be no more assumed to be used in the statement where they are used, or at least in the same block. https://github.com/tensorflow/tensorflow/issues/56089\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-02-28 12:04:47.086083: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory\n",
      "2023-02-28 12:04:47.086367: W tensorflow/compiler/xla/stream_executor/cuda/cuda_driver.cc:265] failed call to cuInit: UNKNOWN ERROR (303)\n",
      "2023-02-28 12:04:47.086387: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (8d3dbf46661d): /proc/driver/nvidia/version does not exist\n",
      "2023-02-28 12:04:47.095567: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA\n",
      "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "saving clusters\n",
      "saving metrics\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    1.1s remaining:    1.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    1.7s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing with 6 clusters and 6 topics\n",
      "lda()\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration: 1 of max_iter: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration: 2 of max_iter: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration: 3 of max_iter: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration: 4 of max_iter: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.1s remaining:    0.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.1s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration: 5 of max_iter: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    4.2s remaining:    4.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    4.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    3.7s remaining:    3.7s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    4.5s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "saving word-distr\n",
      "saving topic-distr\n",
      "saving clusters\n",
      "saving metrics\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    3.5s remaining:    3.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    4.2s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing with 20 clusters and 20 topics\n",
      "lda()\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.5s remaining:    0.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.5s remaining:    0.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration: 1 of max_iter: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.5s remaining:    0.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration: 2 of max_iter: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.5s remaining:    0.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.5s remaining:    0.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.5s remaining:    0.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.5s remaining:    0.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.5s remaining:    0.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.5s remaining:    0.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.5s remaining:    0.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.5s remaining:    0.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration: 3 of max_iter: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.5s remaining:    0.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.5s remaining:    0.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.2s remaining:    0.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration: 4 of max_iter: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.5s remaining:    0.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.5s remaining:    0.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.5s remaining:    0.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    0.4s remaining:    0.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    0.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration: 5 of max_iter: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:   10.7s remaining:   10.7s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:   11.2s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:   11.2s remaining:   11.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:   11.4s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "saving word-distr\n",
      "saving topic-distr\n",
      "saving clusters\n",
      "saving metrics\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    9.3s remaining:    9.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:   10.7s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "testing with 128 clusters and 128 topics\n",
      "lda()\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
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      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.1s remaining:    5.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.0s remaining:    5.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.3s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    4.9s remaining:    4.9s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    2.6s remaining:    2.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    2.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration: 1 of max_iter: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.0s remaining:    5.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.7s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.7s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.0s remaining:    5.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.1s remaining:    5.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.7s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.1s remaining:    5.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.3s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.1s remaining:    5.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.7s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    2.5s remaining:    2.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    2.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration: 2 of max_iter: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.7s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.7s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.7s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.7s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.7s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.3s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.1s remaining:    5.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.1s remaining:    5.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    2.5s remaining:    2.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    2.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration: 3 of max_iter: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.7s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.1s remaining:    5.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.1s remaining:    5.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.1s remaining:    5.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.1s remaining:    5.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.7s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.7s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.1s remaining:    5.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    2.6s remaining:    2.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    2.7s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration: 4 of max_iter: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.7s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.8s remaining:    5.8s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.8s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.7s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.1s remaining:    5.1s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.7s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.0s remaining:    5.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.0s remaining:    5.0s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.4s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.7s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.6s remaining:    5.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.3s remaining:    5.3s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.2s remaining:    5.2s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.5s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.5s remaining:    5.5s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    5.4s remaining:    5.4s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    5.6s finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:    2.6s remaining:    2.6s\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:    2.7s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration: 5 of max_iter: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:  2.1min remaining:  2.1min\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:  2.1min finished\n",
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:  2.1min remaining:  2.1min\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:  2.1min finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "saving word-distr\n",
      "saving topic-distr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-02-28 13:02:12.285871: W tensorflow/tsl/framework/cpu_allocator_impl.cc:82] Allocation of 2379481088 exceeds 10% of free system memory.\n",
      "2023-02-28 13:02:12.697935: W tensorflow/tsl/framework/cpu_allocator_impl.cc:82] Allocation of 2379481088 exceeds 10% of free system memory.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "saving clusters\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:156: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  c_objects = df.columns[np.argwhere(out == c)].T[0]\n",
      "/opt/conda/lib/python3.9/site-packages/topicpy/lda/lda.py:157: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  df_clusters.insert(0, \"Cluster %d\" % (c + 1), np.concatenate(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "saving metrics\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done   2 out of   4 | elapsed:  2.1min remaining:  2.1min\n",
      "[Parallel(n_jobs=4)]: Done   4 out of   4 | elapsed:  2.1min finished\n"
     ]
    }
   ],
   "source": [
    "model=lda(n_jobs=4, verbose=2,  max_iter=5)\n",
    "model.full_analysis(directory, xl, tl=None, logarithmise=False, label=\"tissue_hd\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Topic mapping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv(\"mainTable.csv\", index_col=0)\n",
    "df.info()\n",
    "df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"corpus.txt\",'w') as file:\n",
    "    for sample in df.columns:\n",
    "        for g in np.array(df[sample].sort_values(ascending=False).index[:1000],dtype=str):\n",
    "            file.write(g[:15])\n",
    "            file.write(\" \")\n",
    "        file.write(\"\\n\")\n",
    "import gc\n",
    "gc.collect()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Instructions on how to install it are available from its authors\n",
    "[https://amaral.northwestern.edu/resources/software/topic-mapping](https://amaral.northwestern.edu/resources/software/topic-mapping)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "run this in the shell\n",
    "```bash\n",
    "export PATH=$PATH:/home/jovyan/work/topicmapping/bin\n",
    "topicmap -f corpus.txt -r 10 -t 10 -seed 42 -o tm\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.system(\"export PATH=$PATH:/home/jovyan/work/topicmapping/bin\")\n",
    "os.system(\"topicmap -f corpus.txt -r 10 -t 10 -seed 42 -o tm\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_words = pd.read_csv(\"tm/word_wn_count.txt\", sep=' ', header=None)\n",
    "df_words.columns=['word', 'word-id', 'occurrence']\n",
    "df_words.sort_values('word-id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_topic_distr = pd.read_csv(\"tm/lda_gammas_final.txt\", sep=' ', header=None)\n",
    "df_topic_distr.columns=['Topic %d'%(t+1) for t in df_topic_distr.columns]\n",
    "df_topic_distr.index.name='i_doc'\n",
    "df_topic_distr.insert(0,'doc',df.columns)\n",
    "df_topic_distr=df_topic_distr.dropna(how='all',axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "clusters = df_topic_distr.drop('doc',1).values.argmax(1)\n",
    "df_clusters=pd.DataFrame()\n",
    "for cluster in range(np.max(clusters)+1):\n",
    "    elems=df.columns[clusters==cluster].values\n",
    "    df_clusters.insert(0,'Cluster %d'%(cluster+1),np.concatenate([elems, ['' for _ in range(len(df.columns)- len(elems))]]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_clusters.sort_index(axis=1).to_csv(\"tm/tm_level_0_clusters.csv\", index=False, header=True)\n",
    "df_topic_distr.to_csv(\"tm/tm_level_0_topic-dist.csv\", index=True, header=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_word_distr = pd.DataFrame().fillna(0)\n",
    "with open(\"tm/lda_betas_sparse_final.txt\",\"r\") as f:\n",
    "    for line in f.read().split(\"\\n\"):\n",
    "        row = line.split(\" \")\n",
    "        if len(row) < 2:\n",
    "            continue\n",
    "        topic = int(row[0])+1\n",
    "        line=np.array(row[1:-1], dtype=float).reshape(int((len(row)-1)/2),2)\n",
    "        for el in line:\n",
    "            df_word_distr.at[df_words[df_words['word-id']==int(el[0])].word.values[0], f\"Topic {topic}\"] = el[1]\n",
    "#df_word_distr.index=df_words['word']\n",
    "df_word_distr.fillna(0)\n",
    "df_word_distr.to_csv(\"tm/tm_level_0_word-dist.csv\", index=True, header=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_topics = pd.DataFrame()\n",
    "max_L = df_word_distr.shape[0]\n",
    "for topic in df_word_distr.columns[::-1]:\n",
    "    t_series = df_word_distr[topic]\n",
    "    t_series = t_series[t_series>t_series.quantile(0.99)]\n",
    "    df_topics.insert(0,topic,np.concatenate((t_series.index.values,np.repeat(np.nan, df_word_distr.shape[0]-len(t_series)))))\n",
    "df_topics.dropna(how=\"all\", axis=0).to_csv(\"tm/tm_level_0_topics.csv\", index=False, header=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# WGCNA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use [WGCNA.ipynb](WGCNA.ipynb) to run analyses before continuing and store data in the next step"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from hsbmpy import get_max_available_L\n",
    "for l in range(get_max_available_L(directory, \"wgcna\")+1):\n",
    "    df_wgcna = pd.read_csv(\"wgcna/wgcna_level_%d_labels.csv\"%l, index_col=0)\n",
    "    totalobjcets = len(df_wgcna.index)\n",
    "    out = df_wgcna['x'].values\n",
    "    print(\"saving clusters\")\n",
    "    df_clusters = pd.DataFrame(index=np.arange(totalobjcets))\n",
    "    for c in np.arange(out.max()+1)[::-1]:\n",
    "        c_objects = df_wgcna.index[np.argwhere(out==(c+1))].T[0]\n",
    "        df_clusters.insert(0,\"Cluster %d\"%(c+1),np.concatenate((c_objects,[np.nan for _ in np.arange(totalobjcets-len(c_objects))])))\n",
    "    df_clusters.dropna(axis=0,how='all', inplace=True)\n",
    "    df_clusters.to_csv(\"wgcna/wgcna_level_%d_clusters.csv\"%l, index=False, header=True)\n",
    "df_wgcna_td = pd.read_csv(\"wgcna/wgcna_level_0_topic-dist.csv\")\n",
    "df_wgcna_td.columns.values[0]='doc'\n",
    "df_wgcna_td.index.name='i_doc'\n",
    "df_wgcna_td.to_csv(\"wgcna/wgcna_level_0_topic-dist.csv\", index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_word_distr = pd.read_csv(\"wgcna/wgcna_level_0_word-dist.csv\", index_col=0)\n",
    "df_topics = pd.DataFrame()\n",
    "max_L = df_word_distr.shape[0]\n",
    "for topic in df_word_distr.columns[::-1]:\n",
    "    t_series = df_word_distr[topic]\n",
    "    t_series = t_series[t_series>0.5]\n",
    "    df_topics.insert(0,topic.replace(\"MM\",\"ME\"),np.concatenate((t_series.index.values,np.repeat(np.nan, df_word_distr.shape[0]-len(t_series)))))\n",
    "df_topics.dropna(how=\"all\", axis=0).to_csv(\"wgcna/wgcna_level_0_topics.csv\", index=False, header=True)"
   ]
  }
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