create_tender_category_.ipynb

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   "cell_type": "code",
   "execution_count": 2,
   "id": "34586a76",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "\u001b[?25h  Created wheel for fst-pso: filename=fst_pso-1.8.1-py3-none-any.whl size=20430 sha256=94d658954c0cecbf29f7e73fd8de93aa2cc60793cc8ac39100ad4c7eb625bd3e\n",
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     ]
    }
   ],
   "source": [
    "!pip install gensim "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f9a1923d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from gensim.test.utils import common_texts\n",
    "from gensim.models import Word2Vec\n",
    "from sklearn.manifold import TSNE\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.decomposition import PCA\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4a0ddae8",
   "metadata": {},
   "outputs": [],
   "source": [
    "pur = pd.read_csv('data/purchases.csv', sep=';')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e270432c",
   "metadata": {},
   "outputs": [],
   "source": [
    "lot_name = pur.lot_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "id": "fe56dcb0",
   "metadata": {},
   "outputs": [],
   "source": [
    "okpd = pd.read_csv('data/okpd.csv', sep=';')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "id": "42d0de68",
   "metadata": {},
   "outputs": [],
   "source": [
    "okpd_cutted = okpd[okpd['Код'].apply(lambda x: len(x) < 9)]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 249,
   "id": "37482ab9",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import TfidfVectorizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "id": "c252fc82",
   "metadata": {},
   "outputs": [],
   "source": [
    "vectorizer = TfidfVectorizer()\n",
    "X = vectorizer.fit_transform(okpd_cutted['Название'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "id": "b2ce150b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n"
     ]
    }
   ],
   "source": [
    "tfidf_tokens = vectorizer.get_feature_names()\n",
    "df_tfidfvect = pd.DataFrame(data = X.toarray(),columns = tfidf_tokens)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "91e8ead1",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_pca = PCA(n_components=2).fit_transform(df_tfidfvect)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "4e2b8fc7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fb44e8479a0>"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(X_pca[:, 0], X_pca[:, 1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3bd6a4c0",
   "metadata": {},
   "source": [
    "# Векторизация"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "id": "309775ea",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n"
     ]
    },
    {
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5671</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5672</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5673</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5674</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5675 rows × 6671 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       05   10  100  1000  11и   12   15  1500  15000   16  ...  яичный  яйца  \\\n",
       "0     0.0  0.0  0.0   0.0  0.0  0.0  0.0   0.0    0.0  0.0  ...     0.0   0.0   \n",
       "1     0.0  0.0  0.0   0.0  0.0  0.0  0.0   0.0    0.0  0.0  ...     0.0   0.0   \n",
       "2     0.0  0.0  0.0   0.0  0.0  0.0  0.0   0.0    0.0  0.0  ...     0.0   0.0   \n",
       "3     0.0  0.0  0.0   0.0  0.0  0.0  0.0   0.0    0.0  0.0  ...     0.0   0.0   \n",
       "4     0.0  0.0  0.0   0.0  0.0  0.0  0.0   0.0    0.0  0.0  ...     0.0   0.0   \n",
       "...   ...  ...  ...   ...  ...  ...  ...   ...    ...  ...  ...     ...   ...   \n",
       "5670  0.0  0.0  0.0   0.0  0.0  0.0  0.0   0.0    0.0  0.0  ...     0.0   0.0   \n",
       "5671  0.0  0.0  0.0   0.0  0.0  0.0  0.0   0.0    0.0  0.0  ...     0.0   0.0   \n",
       "5672  0.0  0.0  0.0   0.0  0.0  0.0  0.0   0.0    0.0  0.0  ...     0.0   0.0   \n",
       "5673  0.0  0.0  0.0   0.0  0.0  0.0  0.0   0.0    0.0  0.0  ...     0.0   0.0   \n",
       "5674  0.0  0.0  0.0   0.0  0.0  0.0  0.0   0.0    0.0  0.0  ...     0.0   0.0   \n",
       "\n",
       "      яйцами  янтарь  ярлыки  ярлыков  яхт  ячмень  ящики  ящиков  \n",
       "0        0.0     0.0     0.0      0.0  0.0     0.0    0.0     0.0  \n",
       "1        0.0     0.0     0.0      0.0  0.0     0.0    0.0     0.0  \n",
       "2        0.0     0.0     0.0      0.0  0.0     0.0    0.0     0.0  \n",
       "3        0.0     0.0     0.0      0.0  0.0     0.0    0.0     0.0  \n",
       "4        0.0     0.0     0.0      0.0  0.0     0.0    0.0     0.0  \n",
       "...      ...     ...     ...      ...  ...     ...    ...     ...  \n",
       "5670     0.0     0.0     0.0      0.0  0.0     0.0    0.0     0.0  \n",
       "5671     0.0     0.0     0.0      0.0  0.0     0.0    0.0     0.0  \n",
       "5672     0.0     0.0     0.0      0.0  0.0     0.0    0.0     0.0  \n",
       "5673     0.0     0.0     0.0      0.0  0.0     0.0    0.0     0.0  \n",
       "5674     0.0     0.0     0.0      0.0  0.0     0.0    0.0     0.0  \n",
       "\n",
       "[5675 rows x 6671 columns]"
      ]
     },
     "execution_count": 253,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "okpd_cutted = okpd[okpd['Код'].apply(lambda x: len(x) < 9)]\n",
    "vectorizer = TfidfVectorizer()\n",
    "X = vectorizer.fit_transform(okpd_cutted['Название'])\n",
    "tfidf_tokens = vectorizer.get_feature_names()\n",
    "df_tfidfvect = pd.DataFrame(data = X.toarray(),columns = tfidf_tokens)\n",
    "df_tfidfvect"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c81f452",
   "metadata": {},
   "source": [
    "# Кластеризация"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "id": "04f0840e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import umap\n",
    "umap_embeddings = umap.UMAP(n_neighbors=15, \n",
    "                            n_components=5, \n",
    "                         metric='cosine').fit_transform(df_tfidfvect)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "id": "3d9005c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import hdbscan\n",
    "cluster = hdbscan.HDBSCAN(min_cluster_size=15,\n",
    "                          metric='euclidean',                      \n",
    "               cluster_selection_method='eom').fit(umap_embeddings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "id": "0e5f58e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "HDBSCAN(min_cluster_size=15)"
      ]
     },
     "execution_count": 257,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "7854679d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7fb42a10d730>"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Подготовка данных\n",
    "umap_data = umap.UMAP(n_neighbors=15, n_components=2, min_dist=0.0, metric='cosine').fit_transform(df_tfidfvect)\n",
    "result = pd.DataFrame(umap_data, columns=['x', 'y'])\n",
    "result['labels'] = cluster.labels_\n",
    "\n",
    "# Визуализация кластеров\n",
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
    "outliers = result.loc[result.labels == -1, :]\n",
    "clustered = result.loc[result.labels != -1, :]\n",
    "plt.scatter(outliers.x, outliers.y, color='#BDBDBD', s=0.05)\n",
    "plt.scatter(clustered.x, clustered.y, c=clustered.labels, s=0.05, cmap='hsv_r')\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "id": "69a5177a",
   "metadata": {},
   "outputs": [],
   "source": [
    "docs_df = pd.DataFrame(columns=['Doc'])\n",
    "docs_df['Doc'] = okpd[okpd['Код'].apply(lambda x: len(x) < 9)]['Название']\n",
    "docs_df['Topic'] = cluster.labels_\n",
    "docs_df['Doc_ID'] = range(len(docs_df))\n",
    "docs_per_topic = docs_df.groupby(['Topic'], as_index = False).agg({'Doc': ' '.join})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "id": "10d0a321",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "\n",
    "def c_tf_idf(documents, m, ngram_range=(1, 1)):\n",
    "    count = CountVectorizer(ngram_range=ngram_range,\n",
    "    stop_words=\"english\").fit(documents)\n",
    "    t = count.transform(documents).toarray()\n",
    "    w = t.sum(axis=1)\n",
    "    tf = np.divide(t.T, w)\n",
    "    sum_t = t.sum(axis=0)\n",
    "    idf = np.log(np.divide(m, sum_t)).reshape(-1, 1)\n",
    "    tf_idf = np.multiply(tf, idf)\n",
    "\n",
    "    return tf_idf, count\n",
    "  \n",
    "tf_idf, count = c_tf_idf(docs_per_topic.Doc.values, m=len(df_tfidfvect))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "id": "93ce1ef1",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n"
     ]
    },
    {
     "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>Topic</th>\n",
       "      <th>Size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-1</td>\n",
       "      <td>2174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>87</td>\n",
       "      <td>169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>6</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>31</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>29</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>68</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>12</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>19</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>79</td>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>80</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Topic  Size\n",
       "0      -1  2174\n",
       "88     87   169\n",
       "7       6   130\n",
       "32     31   125\n",
       "30     29   118\n",
       "69     68   116\n",
       "13     12    96\n",
       "20     19    90\n",
       "80     79    69\n",
       "81     80    65"
      ]
     },
     "execution_count": 263,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def extract_top_n_words_per_topic(tf_idf, count, docs_per_topic, n=20):\n",
    "    words = count.get_feature_names()\n",
    "    labels = list(docs_per_topic.Topic)\n",
    "    tf_idf_transposed = tf_idf.T\n",
    "    indices = tf_idf_transposed.argsort()[:, -n:]\n",
    "    top_n_words = {label: [(words[j], tf_idf_transposed[i][j]) for j                    in indices[i]][::-1] for i, label in enumerate(labels)}\n",
    "    return top_n_words\n",
    "\n",
    "def extract_topic_sizes(df):\n",
    "    topic_sizes = (df.groupby(['Topic'])\n",
    "                     .Doc\n",
    "                     .count()\n",
    "                     .reset_index()\n",
    "                     .rename({\"Topic\": \"Topic\", \"Doc\":  \"Size\"},axis='columns')      \n",
    "                     .sort_values(\"Size\", ascending=False))\n",
    "    return topic_sizes\n",
    "\n",
    "top_n_words = extract_top_n_words_per_topic(tf_idf, count, docs_per_topic, n=20)\n",
    "topic_sizes = extract_topic_sizes(docs_df); topic_sizes.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 278,
   "id": "487ec3f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "mystem = pymystem3.Mystem()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 311,
   "id": "3b2626cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_theme_vectors(top_n_words):\n",
    "    themes = []\n",
    "    for theme, words in tqdm(top_n_words.items()):\n",
    "        temp = []\n",
    "        for word, _ in words:\n",
    "            temp.append(word)\n",
    "        themes.append(temp)\n",
    "    clear_themes = []\n",
    "    for t in tqdm(themes):\n",
    "        clear_t = [word for word in t if word not in stop_words]\n",
    "        clear_themes.append(clear_t)\n",
    "    lemm_themes = []\n",
    "    for t in tqdm(clear_themes):\n",
    "        lemm_t = [mystem.lemmatize(word)[0] for word in t]\n",
    "        lemm_themes.append(lemm_t)\n",
    "    res_t = []\n",
    "    for t in tqdm(lemm_themes):\n",
    "        res_t.append(poser(t))\n",
    "    vectors = []\n",
    "    for t in tqdm(res_t):\n",
    "        vectors.append(vec(t))\n",
    "    res = np.array([vectors[0]])\n",
    "    for v in vectors[1:]:\n",
    "        res = np.concatenate([res, v[None]], axis=0)\n",
    "    return lemm_themes, res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 312,
   "id": "d09b5a53",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████| 73/73 [00:00<00:00, 15668.81it/s]\n",
      "100%|████████████████████████████████████████| 73/73 [00:00<00:00, 14432.44it/s]\n",
      "100%|██████████████████████████████████████████| 73/73 [00:00<00:00, 994.53it/s]\n",
      "100%|██████████████████████████████████████████| 73/73 [00:00<00:00, 423.88it/s]\n",
      "100%|█████████████████████████████████████████| 73/73 [00:00<00:00, 5594.76it/s]\n"
     ]
    }
   ],
   "source": [
    "t, theme_vec = create_theme_vectors(top_n_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "id": "5edf8565",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0.03885305, -0.02473   , -0.02310495, ..., -0.04960192,\n",
       "        -0.05848382, -0.02248823],\n",
       "       [ 0.03493451,  0.0116202 , -0.05105472, ..., -0.01731319,\n",
       "        -0.0542242 , -0.00035968],\n",
       "       [ 0.01645325, -0.00453072, -0.03061816, ...,  0.00779689,\n",
       "        -0.07717845,  0.00296878],\n",
       "       ...,\n",
       "       [ 0.05059073,  0.00152938, -0.01795824, ...,  0.00734191,\n",
       "        -0.03820693, -0.01988942],\n",
       "       [ 0.03502391, -0.02223545, -0.00584658, ..., -0.04659965,\n",
       "        -0.01143642, -0.00838797],\n",
       "       [ 0.01694894,  0.00286398,  0.03961771, ...,  0.03992711,\n",
       "        -0.02971634,  0.05881615]])"
      ]
     },
     "execution_count": 300,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "theme_vec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "id": "58902324",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics.pairwise import cosine_similarity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "id": "db4db9b8",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n",
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n",
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n",
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n",
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n",
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n",
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n",
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n",
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n",
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n",
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n",
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n",
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n",
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n",
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n",
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n",
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n",
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n",
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n",
      "/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n"
     ]
    },
    {
     "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>Topic</th>\n",
       "      <th>Size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-1</td>\n",
       "      <td>2261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>68</td>\n",
       "      <td>169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>20</td>\n",
       "      <td>135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>22</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>51</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>14</td>\n",
       "      <td>109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>9</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>61</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>18</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Topic  Size\n",
       "0      -1  2261\n",
       "69     68   169\n",
       "21     20   135\n",
       "5       4   130\n",
       "23     22   125\n",
       "52     51   116\n",
       "15     14   109\n",
       "10      9    96\n",
       "62     61    88\n",
       "19     18    86"
      ]
     },
     "execution_count": 266,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for i in range(20):\n",
    "    # Calculate cosine similarity\n",
    "    similarities = cosine_similarity(tf_idf.T)\n",
    "    np.fill_diagonal(similarities, 0)\n",
    "\n",
    "    # Extract label to merge into and from where\n",
    "    topic_sizes = docs_df.groupby(['Topic']).count().sort_values(\"Doc\", ascending=False).reset_index()\n",
    "    topic_to_merge = topic_sizes.iloc[-1].Topic\n",
    "    topic_to_merge_into = np.argmax(similarities[topic_to_merge + 1]) - 1\n",
    "\n",
    "    # Adjust topics\n",
    "    docs_df.loc[docs_df.Topic == topic_to_merge, \"Topic\"] = topic_to_merge_into\n",
    "    old_topics = docs_df.sort_values(\"Topic\").Topic.unique()\n",
    "    map_topics = {old_topic: index - 1 for index, old_topic in enumerate(old_topics)}\n",
    "    docs_df.Topic = docs_df.Topic.map(map_topics)\n",
    "    docs_per_topic = docs_df.groupby(['Topic'], as_index = False).agg({'Doc': ' '.join})\n",
    "\n",
    "    # Calculate new topic words\n",
    "    m = len(df_tfidfvect)\n",
    "    tf_idf, count = c_tf_idf(docs_per_topic.Doc.values, m)\n",
    "    top_n_words = extract_top_n_words_per_topic(tf_idf, count, docs_per_topic, n=20)\n",
    "\n",
    "topic_sizes = extract_topic_sizes(docs_df); topic_sizes.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 349,
   "id": "62cb1a29",
   "metadata": {},
   "outputs": [],
   "source": [
    "t_names = ['Производство и услуги оборудования', 'Социальная помощь и медицинские услуги', 'Услуги в области научных исследований и разработок', 'Нестационарные продажи и торговля', 'Финансовые и страховые услуги', 'Транспортные услуги', 'Услуги по трудоустройству и подбору персонала', 'Юридические и экологические услуги', 'Услуги по производству и доставке химической продукции', 'Финансовые кредитные услуги и ипотека', 'Торговый договор','Специализированная розничная торговля', 'Специализированная розничная торговля', 'Пассажирский транспорт', 'Техническая розничная торговля', 'Сельскохозяйственная оптовая торговля', 'Автомобильные запчасти и услуги', 'Бытовые товары', 'Оптовая торговля продуктами питания и напитками', 'Литье и обработка металла', 'Производственные услуги', 'Покрытие и отделка металла', 'Строительство и производство', 'Переработка и текстиль', 'Оборудование и электротехнические услуги', 'Услуги по лизингу и финансированию транспорта и оборудования', 'Организация мероприятий и выставок с высокой квалификацией', 'Безопасность', 'Услуги морского и воздушного транспорта для внутренних и международных поездок', 'Технические услуги', 'Досуг и развлечение', 'Общественные услуги', 'Аудиовизуальные услуги', 'Образование и телекоммуникационные услуги', 'Здравоохранение', 'Услуги связи и информационные услуги', 'Услуги по транспортировке нефти, газа и воды и снабжению', 'Информационные технологии и издания', 'Утилизация отходов', 'Страхование жизни и имущества', 'Ритуальные услуги', 'Туристические услуги и агентства', 'Cтроительство и сооружения', 'Работы по отделке зданий', 'Бумажная промышленность', 'Бытовое электрооборудование и ремонт', 'Размещение и услуги интеллектуальной собственности', 'Бумага и печатные материалы', 'Cельское хозяйство и природные материалы', 'Электрическое и механическое оборудование', 'Масла и химическая переработка', 'Химическая промышленность', 'Транспортные ', 'Транспортные комплектующие', 'Запчасти', 'Стальные трубы и фитинги', 'Cтальные листы', 'Алюминиевые прутки и проволока', 'Металлические контейнеры и емкости', 'Текстильные материалы', 'Стекло и керамические изделия', 'Растения и животные',\n",
    "          \"Автоматизированные устройства \", \"Строительные материалы\", \"Материалы\", \"Трикотаж\", \"Продукты животного происхождения\", \"Рыбоводство и производство рыбной продукции\",       \"Промышленное оборудование\",       \"Перерабатываемые отходы\",       \"Измерительные приборы \", \"Продукты рыбоводства и химические соединения для пищевой промышленности\",\n",
    "            \"Печатные издания, включая книги, газеты и журналы, а также фото- и периодические издания\",\n",
    "            \"Электрические изделия, включая комплектующие, защиту и готовые цепи\",\n",
    "            \"Семена и плоды, включая масличные и сахарные культуры, косточковые и семечковые плоды, цитрусовые и кормовые растения\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 385,
   "id": "88922ad7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "73"
      ]
     },
     "execution_count": 385,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(t_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "d9d8c902",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_categories = pd.DataFrame(categories.values(), columns=['name'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "6afd491d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Разное/Другое</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Транспортные услуги</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Розничная торговля специализированными товарами</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Компенсационные и рекламные соглашения</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Услуги, предоставляемые организациями и лицензии</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Оптовая торговля и оборудование</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Розничная торговля</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Безопасность и занятость</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Услуги и процессы производства, включая произв...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Производство различных предметов, включая мета...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Государственные и консультационные услуги, вкл...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Исследования и разработки в области образовани...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Строительство и инжиниринг</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Управление отходами</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Связь и услуги</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Транспорт и лизинг</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Технические услуги и обслуживание оборудования</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Печатные и цифровые СМИ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Электротехника и энергетическое оборудование</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Трикотажная и вязаная одежда и аксессуары</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Транспорт и чистящие средства</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Продовольствие и сельское хозяйство</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Рыба и водные животные</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Стальная продукция</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Инструменты и аппаратура</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Отходы и сырье</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Промышленные машины и оборудование</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Строительные материалы</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Детали и принадлежности машин</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Бизнес-организации и продукты</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 name\n",
       "0                                       Разное/Другое\n",
       "1                                 Транспортные услуги\n",
       "2     Розничная торговля специализированными товарами\n",
       "3              Компенсационные и рекламные соглашения\n",
       "4    Услуги, предоставляемые организациями и лицензии\n",
       "5                     Оптовая торговля и оборудование\n",
       "6                                  Розничная торговля\n",
       "7                            Безопасность и занятость\n",
       "8   Услуги и процессы производства, включая произв...\n",
       "9   Производство различных предметов, включая мета...\n",
       "10  Государственные и консультационные услуги, вкл...\n",
       "11  Исследования и разработки в области образовани...\n",
       "12                         Строительство и инжиниринг\n",
       "13                                Управление отходами\n",
       "14                                     Связь и услуги\n",
       "15                                 Транспорт и лизинг\n",
       "16     Технические услуги и обслуживание оборудования\n",
       "17                            Печатные и цифровые СМИ\n",
       "18       Электротехника и энергетическое оборудование\n",
       "19          Трикотажная и вязаная одежда и аксессуары\n",
       "20                      Транспорт и чистящие средства\n",
       "21                Продовольствие и сельское хозяйство\n",
       "22                             Рыба и водные животные\n",
       "23                                 Стальная продукция\n",
       "24                           Инструменты и аппаратура\n",
       "25                                     Отходы и сырье\n",
       "26                 Промышленные машины и оборудование\n",
       "27                             Строительные материалы\n",
       "28                      Детали и принадлежности машин\n",
       "29                      Бизнес-организации и продукты"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_categories"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d35acca2",
   "metadata": {},
   "source": [
    "# Векторизация названий закупок"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "e3b47cae",
   "metadata": {},
   "outputs": [],
   "source": [
    "pur = pd.read_csv('data/pur.csv', sep=';')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d0a4c2c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gensim.models import Word2Vec, FastText"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5be4128c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[=====---------------------------------------------] 11.8% 23.4/198.8MB downloaded"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "IOPub message rate exceeded.\n",
      "The notebook server will temporarily stop sending output\n",
      "to the client in order to avoid crashing it.\n",
      "To change this limit, set the config variable\n",
      "`--NotebookApp.iopub_msg_rate_limit`.\n",
      "\n",
      "Current values:\n",
      "NotebookApp.iopub_msg_rate_limit=1000.0 (msgs/sec)\n",
      "NotebookApp.rate_limit_window=3.0 (secs)\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[==================================================] 100.0% 198.8/198.8MB downloaded\n"
     ]
    }
   ],
   "source": [
    "import gensim.downloader as api\n",
    "word2vec_model = api.load(\"word2vec-ruscorpora-300\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "f5f166c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def vec(tokens):\n",
    "    res = np.array([0] * 300).astype('float64')\n",
    "    c = 0\n",
    "    for word in tokens:\n",
    "        if word[-1] == 'F':\n",
    "            if word[:-1] in word2vec_model.key_to_index:\n",
    "                res += word2vec_model[word[:-1]]\n",
    "                c += 1\n",
    "            else:\n",
    "                pass\n",
    "        else:\n",
    "            if word in word2vec_model.key_to_index:\n",
    "                res += word2vec_model[word]\n",
    "                c += 1\n",
    "            else:\n",
    "                pass\n",
    "    return res / c if c != 0 else res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "adb83645",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: nltk in /opt/anaconda3/lib/python3.9/site-packages (3.8.1)\n",
      "Requirement already satisfied: tqdm in /opt/anaconda3/lib/python3.9/site-packages (from nltk) (4.64.1)\n",
      "Requirement already satisfied: regex>=2021.8.3 in /opt/anaconda3/lib/python3.9/site-packages (from nltk) (2022.7.9)\n",
      "Requirement already satisfied: click in /opt/anaconda3/lib/python3.9/site-packages (from nltk) (8.0.4)\n",
      "Requirement already satisfied: joblib in /opt/anaconda3/lib/python3.9/site-packages (from nltk) (1.1.1)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     /Users/romankraynov/nltk_data...\n",
      "[nltk_data]   Unzipping tokenizers/punkt.zip.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "!pip install --upgrade nltk\n",
    "import nltk\n",
    "from nltk.tokenize import word_tokenize \n",
    "nltk.download('punkt')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "344190c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "def custom_tokenize(text):\n",
    "    if not text:\n",
    "        print('The text to be tokenized is a None type. Defaulting to blank string.')\n",
    "        text = ''\n",
    "    try:\n",
    "        return word_tokenize(text)\n",
    "    except:\n",
    "        return ''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "83189bf1",
   "metadata": {},
   "outputs": [],
   "source": [
    "pur['token_text'] = pur['clear_text'].apply(lambda x: custom_tokenize(x))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "ea929a13",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     /Users/romankraynov/nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n"
     ]
    }
   ],
   "source": [
    "nltk.download('stopwords')\n",
    "from nltk.corpus import stopwords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "778ee723",
   "metadata": {},
   "outputs": [],
   "source": [
    "stop_words = stopwords.words('russian')\n",
    "pur['wout_stop_text'] = pur['token_text'].apply(lambda text: [word for word in text if word not in stop_words])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "2b77c363",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pymystem3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "c1209d55",
   "metadata": {},
   "outputs": [],
   "source": [
    "mystem = pymystem3.Mystem()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "7518ffc6",
   "metadata": {},
   "outputs": [],
   "source": [
    "pur['lemm_text'] = pur['wout_stop_text'].apply(lambda text: [mystem.lemmatize(word)[0] for word in text])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "ce39b322",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pymorphy2 in /opt/anaconda3/lib/python3.9/site-packages (0.9.1)\r\n",
      "Requirement already satisfied: docopt>=0.6 in /opt/anaconda3/lib/python3.9/site-packages (from pymorphy2) (0.6.2)\r\n",
      "Requirement already satisfied: dawg-python>=0.7.1 in /opt/anaconda3/lib/python3.9/site-packages (from pymorphy2) (0.7.2)\r\n",
      "Requirement already satisfied: pymorphy2-dicts-ru<3.0,>=2.4 in /opt/anaconda3/lib/python3.9/site-packages (from pymorphy2) (2.4.417127.4579844)\r\n"
     ]
    }
   ],
   "source": [
    "!pip install pymorphy2\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "e14246cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pymorphy2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "745cae4f",
   "metadata": {},
   "outputs": [],
   "source": [
    "morph = pymorphy2.MorphAnalyzer(lang='ru')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "352606cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "def poser(tokens):\n",
    "    res = []\n",
    "    for word in tokens:\n",
    "        if word:\n",
    "            res.append(word + '_' + str(morph.parse(word)[0].tag.POS))\n",
    "        else:\n",
    "            res.append(word)\n",
    "    return res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "0f1a431e",
   "metadata": {},
   "outputs": [],
   "source": [
    "pur['lemm_text'] = pur['lemm_text'].apply(lambda text: poser(text))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "09cd9e89",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gensim.models import Word2Vec, FastText"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "893a4b44",
   "metadata": {},
   "outputs": [],
   "source": [
    "pur['name_vec'] = pur['lemm_text'].apply(lambda tokens: vec(tokens))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "12b2624f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
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       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>id</th>\n",
       "      <th>purchase_name</th>\n",
       "      <th>lot_name</th>\n",
       "      <th>price</th>\n",
       "      <th>customer_inn</th>\n",
       "      <th>customer_name</th>\n",
       "      <th>delivery_region</th>\n",
       "      <th>publish_date</th>\n",
       "      <th>contract_category</th>\n",
       "      <th>clear_text</th>\n",
       "      <th>token_text</th>\n",
       "      <th>wout_stop_text</th>\n",
       "      <th>lemm_text</th>\n",
       "      <th>name_vec</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>purch_3880086</td>\n",
       "      <td>Дератизация и дезинсекция</td>\n",
       "      <td>Услуги по дезинфекции, дезинсекции и дератизации</td>\n",
       "      <td>32400.00</td>\n",
       "      <td>7825010179</td>\n",
       "      <td>САНКТ-ПЕТЕРБУРГСКОЕ ГОСУДАРСТВЕННОЕ БЮДЖЕТНОЕ ...</td>\n",
       "      <td>Санкт-Петербург</td>\n",
       "      <td>2021-12-13 16:20:28.000</td>\n",
       "      <td>Потребность</td>\n",
       "      <td>дератизация и дезинсекция</td>\n",
       "      <td>[дератизация, и, дезинсекция]</td>\n",
       "      <td>[дератизация, дезинсекция]</td>\n",
       "      <td>[дератизация_NOUN, дезинсекция_NOUN]</td>\n",
       "      <td>[0.057370200753211975, -0.07542315870523453, 0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>purch_3880087</td>\n",
       "      <td>Оказание услуг по техническому обслуживанию уз...</td>\n",
       "      <td>Услуги по техническому обслуживанию приборов у...</td>\n",
       "      <td>62400.00</td>\n",
       "      <td>7825699343</td>\n",
       "      <td>САНКТ-ПЕТЕРБУРГСКОЕ ГОСУДАРСТВЕННОЕ УНИТАРНОЕ ...</td>\n",
       "      <td>Санкт-Петербург</td>\n",
       "      <td>2021-12-13 16:20:48.000</td>\n",
       "      <td>Потребность</td>\n",
       "      <td>оказание услуг по техническому обслуживанию уз...</td>\n",
       "      <td>[оказание, услуг, по, техническому, обслуживан...</td>\n",
       "      <td>[оказание, услуг, техническому, обслуживанию, ...</td>\n",
       "      <td>[оказание_NOUN, услуга_NOUN, технический_ADJF,...</td>\n",
       "      <td>[0.05344873167632613, -0.02713588555343449, -0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>purch_9193548</td>\n",
       "      <td>Пюпитр ATHLETIC NP-3AL</td>\n",
       "      <td>Принадлежности для музыкальных инструментов пр...</td>\n",
       "      <td>99360.00</td>\n",
       "      <td>7716221444</td>\n",
       "      <td>Государственное бюджетное учреждение дополните...</td>\n",
       "      <td>Москва</td>\n",
       "      <td>2021-12-13 16:21:05.880</td>\n",
       "      <td>КС</td>\n",
       "      <td>пюпитр athletic np NUM al</td>\n",
       "      <td>[пюпитр, athletic, np, NUM, al]</td>\n",
       "      <td>[пюпитр, athletic, np, NUM, al]</td>\n",
       "      <td>[пюпитр_NOUN, athletic_None, np_None, NUM_None...</td>\n",
       "      <td>[-0.00864583533257246, 0.07133467495441437, 0....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>purch_9193549</td>\n",
       "      <td>РЕМОНТ ТЕКУЩИЙ АДМИНИСТРАТИВНЫХ ЗДАНИЙ</td>\n",
       "      <td>Текущий ремонт административных зданий....</td>\n",
       "      <td>271232.60</td>\n",
       "      <td>7718905471</td>\n",
       "      <td>Государственное бюджетное учреждение  города М...</td>\n",
       "      <td>Москва</td>\n",
       "      <td>2021-12-13 16:21:06.617</td>\n",
       "      <td>КС</td>\n",
       "      <td>ремонт текущий административных зданий</td>\n",
       "      <td>[ремонт, текущий, административных, зданий]</td>\n",
       "      <td>[ремонт, текущий, административных, зданий]</td>\n",
       "      <td>[ремонт_NOUN, текущий_ADJF, административный_A...</td>\n",
       "      <td>[0.06589941494166851, 0.012117633828893304, -0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>purch_9193550</td>\n",
       "      <td>поставка Microsoft Windows Professional 10 «Wi...</td>\n",
       "      <td>ОКПД 2</td>\n",
       "      <td>158740.00</td>\n",
       "      <td>6027007117</td>\n",
       "      <td>Комитет по управлению государственным имуществ...</td>\n",
       "      <td>Псковская</td>\n",
       "      <td>2021-12-13 16:21:21.337</td>\n",
       "      <td>КС</td>\n",
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       "         Unnamed: 0             id  \\\n",
       "0                 0  purch_3880086   \n",
       "1                 1  purch_3880087   \n",
       "2                 2  purch_9193548   \n",
       "3                 3  purch_9193549   \n",
       "4                 4  purch_9193550   \n",
       "...             ...            ...   \n",
       "1059559     1059559  purch_4065969   \n",
       "1059560     1059560  purch_4065977   \n",
       "1059561     1059561  purch_4065976   \n",
       "1059562     1059562  purch_4065980   \n",
       "1059563     1059563  purch_9303620   \n",
       "\n",
       "                                             purchase_name  \\\n",
       "0                                Дератизация и дезинсекция   \n",
       "1        Оказание услуг по техническому обслуживанию уз...   \n",
       "2                                   Пюпитр ATHLETIC NP-3AL   \n",
       "3                   РЕМОНТ ТЕКУЩИЙ АДМИНИСТРАТИВНЫХ ЗДАНИЙ   \n",
       "4        поставка Microsoft Windows Professional 10 «Wi...   \n",
       "...                                                    ...   \n",
       "1059559  Оказание услуг по обеспечению дежурства медици...   \n",
       "1059560                          Оказание услуг типографии   \n",
       "1059561                             Поставка бытовой химии   \n",
       "1059562  Поставка напольного покрытия (линолеума и комп...   \n",
       "1059563  Выполнение работ по текущему ремонту объекта в...   \n",
       "\n",
       "                                                  lot_name      price  \\\n",
       "0         Услуги по дезинфекции, дезинсекции и дератизации   32400.00   \n",
       "1        Услуги по техническому обслуживанию приборов у...   62400.00   \n",
       "2        Принадлежности для музыкальных инструментов пр...   99360.00   \n",
       "3               Текущий ремонт административных зданий....  271232.60   \n",
       "4                                                   ОКПД 2  158740.00   \n",
       "...                                                    ...        ...   \n",
       "1059559                         Услуги спортивных объектов   21000.00   \n",
       "1059560  Книги, брошюры, листовки печатные прочие и под...   73712.00   \n",
       "1059561  Пакеты для упаковки готовых изделий;Тряпки для...   17609.00   \n",
       "1059562  Клеи прочие;Профили фасонные пластмассовые;Лин...   28260.50   \n",
       "1059563  Ремонт текущий нежилых зданий, помещений и соо...  550206.44   \n",
       "\n",
       "         customer_inn                                      customer_name  \\\n",
       "0          7825010179  САНКТ-ПЕТЕРБУРГСКОЕ ГОСУДАРСТВЕННОЕ БЮДЖЕТНОЕ ...   \n",
       "1          7825699343  САНКТ-ПЕТЕРБУРГСКОЕ ГОСУДАРСТВЕННОЕ УНИТАРНОЕ ...   \n",
       "2          7716221444  Государственное бюджетное учреждение дополните...   \n",
       "3          7718905471  Государственное бюджетное учреждение  города М...   \n",
       "4          6027007117  Комитет по управлению государственным имуществ...   \n",
       "...               ...                                                ...   \n",
       "1059559    5047076614  ГОСУДАРСТВЕННОЕ АВТОНОМНОЕ УЧРЕЖДЕНИЕ МОСКОВСК...   \n",
       "1059560    5053052788   муниципальное учреждение «Центр культуры «Досуг»   \n",
       "1059561    2364000890  МУНИЦИПАЛЬНОЕ БЮДЖЕТНОЕ ДОШКОЛЬНОЕ ОБРАЗОВАТЕЛ...   \n",
       "1059562    2127311000  МУНИЦИПАЛЬНОЕ БЮДЖЕТНОЕ ДОШКОЛЬНОЕ ОБРАЗОВАТЕЛ...   \n",
       "1059563    7736132129  Государственное бюджетное общеобразовательное ...   \n",
       "\n",
       "         delivery_region             publish_date contract_category  \\\n",
       "0        Санкт-Петербург  2021-12-13 16:20:28.000       Потребность   \n",
       "1        Санкт-Петербург  2021-12-13 16:20:48.000       Потребность   \n",
       "2                 Москва  2021-12-13 16:21:05.880                КС   \n",
       "3                 Москва  2021-12-13 16:21:06.617                КС   \n",
       "4              Псковская  2021-12-13 16:21:21.337                КС   \n",
       "...                  ...                      ...               ...   \n",
       "1059559       Московская  2022-05-31 22:45:00.817       Потребность   \n",
       "1059560       Московская  2022-05-31 23:18:54.973       Потребность   \n",
       "1059561    Краснодарский  2022-05-31 23:25:00.000       Потребность   \n",
       "1059562          Чувашия  2022-05-31 23:42:44.000       Потребность   \n",
       "1059563           Москва  2022-05-31 23:51:22.963                КС   \n",
       "\n",
       "                                                clear_text  \\\n",
       "0                                дератизация и дезинсекция   \n",
       "1        оказание услуг по техническому обслуживанию уз...   \n",
       "2                                пюпитр athletic np NUM al   \n",
       "3                   ремонт текущий административных зданий   \n",
       "4        поставка microsoft windows professional NUM NU...   \n",
       "...                                                    ...   \n",
       "1059559  оказание услуг по обеспечению дежурства медици...   \n",
       "1059560                          оказание услуг типографии   \n",
       "1059561                             поставка бытовой химии   \n",
       "1059562  поставка напольного покрытия линолеума и компл...   \n",
       "1059563  выполнение работ по текущему ремонту объекта в...   \n",
       "\n",
       "                                                token_text  \\\n",
       "0                            [дератизация, и, дезинсекция]   \n",
       "1        [оказание, услуг, по, техническому, обслуживан...   \n",
       "2                          [пюпитр, athletic, np, NUM, al]   \n",
       "3              [ремонт, текущий, административных, зданий]   \n",
       "4        [поставка, microsoft, windows, professional, N...   \n",
       "...                                                    ...   \n",
       "1059559  [оказание, услуг, по, обеспечению, дежурства, ...   \n",
       "1059560                      [оказание, услуг, типографии]   \n",
       "1059561                         [поставка, бытовой, химии]   \n",
       "1059562  [поставка, напольного, покрытия, линолеума, и,...   \n",
       "1059563  [выполнение, работ, по, текущему, ремонту, объ...   \n",
       "\n",
       "                                            wout_stop_text  \\\n",
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       "2                          [пюпитр, athletic, np, NUM, al]   \n",
       "3              [ремонт, текущий, административных, зданий]   \n",
       "4        [поставка, microsoft, windows, professional, N...   \n",
       "...                                                    ...   \n",
       "1059559  [оказание, услуг, обеспечению, дежурства, меди...   \n",
       "1059560                      [оказание, услуг, типографии]   \n",
       "1059561                         [поставка, бытовой, химии]   \n",
       "1059562  [поставка, напольного, покрытия, линолеума, ко...   \n",
       "1059563  [выполнение, работ, текущему, ремонту, объекта...   \n",
       "\n",
       "                                                 lemm_text  \\\n",
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       "1        [оказание_NOUN, услуга_NOUN, технический_ADJF,...   \n",
       "2        [пюпитр_NOUN, athletic_None, np_None, NUM_None...   \n",
       "3        [ремонт_NOUN, текущий_ADJF, административный_A...   \n",
       "4        [поставка_NOUN, microsoft_None, windows_None, ...   \n",
       "...                                                    ...   \n",
       "1059559  [оказание_NOUN, услуга_NOUN, обеспечение_NOUN,...   \n",
       "1059560      [оказание_NOUN, услуга_NOUN, типография_NOUN]   \n",
       "1059561          [поставка_NOUN, бытовой_ADJF, химия_NOUN]   \n",
       "1059562  [поставка_NOUN, напольный_ADJF, покрытие_NOUN,...   \n",
       "1059563  [выполнение_NOUN, работа_NOUN, текущий_ADJF, р...   \n",
       "\n",
       "                                                  name_vec  \n",
       "0        [0.057370200753211975, -0.07542315870523453, 0...  \n",
       "1        [0.05344873167632613, -0.02713588555343449, -0...  \n",
       "2        [-0.00864583533257246, 0.07133467495441437, 0....  \n",
       "3        [0.06589941494166851, 0.012117633828893304, -0...  \n",
       "4        [0.02369638718664646, -0.04907090216875076, 0....  \n",
       "...                                                    ...  \n",
       "1059559  [0.03170550190021887, -0.000984184128944488, -...  \n",
       "1059560  [0.1113748128215472, -0.02062308695167303, -0....  \n",
       "1059561  [-0.03846349256734053, -0.06419989466667175, -...  \n",
       "1059562  [0.02777171932393685, 0.024295580107718706, 0....  \n",
       "1059563  [0.022519750387540886, -0.015656747312667512, ...  \n",
       "\n",
       "[1059564 rows x 15 columns]"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pur"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "13b9dc78",
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Печатные и цифровые СМИ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Электротехника и энергетическое оборудование</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Трикотажная и вязаная одежда и аксессуары</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Транспорт и чистящие средства</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Продовольствие и сельское хозяйство</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Рыба и водные животные</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Стальная продукция</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Инструменты и аппаратура</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Отходы и сырье</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Промышленные машины и оборудование</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Строительные материалы</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Детали и принадлежности машин</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Бизнес-организации и продукты</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 name\n",
       "0                                       Разное/Другое\n",
       "1                                 Транспортные услуги\n",
       "2     Розничная торговля специализированными товарами\n",
       "3              Компенсационные и рекламные соглашения\n",
       "4    Услуги, предоставляемые организациями и лицензии\n",
       "5                     Оптовая торговля и оборудование\n",
       "6                                  Розничная торговля\n",
       "7                            Безопасность и занятость\n",
       "8   Услуги и процессы производства, включая произв...\n",
       "9   Производство различных предметов, включая мета...\n",
       "10  Государственные и консультационные услуги, вкл...\n",
       "11  Исследования и разработки в области образовани...\n",
       "12                         Строительство и инжиниринг\n",
       "13                                Управление отходами\n",
       "14                                     Связь и услуги\n",
       "15                                 Транспорт и лизинг\n",
       "16     Технические услуги и обслуживание оборудования\n",
       "17                            Печатные и цифровые СМИ\n",
       "18       Электротехника и энергетическое оборудование\n",
       "19          Трикотажная и вязаная одежда и аксессуары\n",
       "20                      Транспорт и чистящие средства\n",
       "21                Продовольствие и сельское хозяйство\n",
       "22                             Рыба и водные животные\n",
       "23                                 Стальная продукция\n",
       "24                           Инструменты и аппаратура\n",
       "25                                     Отходы и сырье\n",
       "26                 Промышленные машины и оборудование\n",
       "27                             Строительные материалы\n",
       "28                      Детали и принадлежности машин\n",
       "29                      Бизнес-организации и продукты"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "aa6dfb17",
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "def clean_text(text):\n",
    "    #приводим текст к нижнему регистру\n",
    "    text = text.lower()\n",
    "    #создаем регулярное выражение для удаления лишних символов\n",
    "    regular = r'[\\*+\\#+\\№\\\"\\-+\\+\\=+\\?+\\&\\^\\.+\\;\\,+\\>+\\(\\)\\/+\\:\\\\+]'\n",
    "    #регулярное выражение для замены ссылки на \"URL\"\n",
    "    regular_url = r'(http\\S+)|(www\\S+)|([\\w\\d]+www\\S+)|([\\w\\d]+http\\S+)'\n",
    "    #удаляем лишние символы\n",
    "    text = re.sub(regular, '', text)\n",
    "    #заменяем ссылки на \"URL\"\n",
    "    text = re.sub(regular_url, r'URL', text)\n",
    "    #заменяем числа и цифры на ' NUM '\n",
    "    text = re.sub(r'(\\d+\\s\\d+)|(\\d+)',' NUM ', text)\n",
    "    #удаляем лишние пробелы\n",
    "    text = re.sub(r'\\s+', ' ', text)\n",
    "    #возвращаем очищенные данные\n",
    "    return text\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "d9f07eab",
   "metadata": {},
   "outputs": [],
   "source": [
    "mystem = pymystem3.Mystem()\n",
    "df_categories['clear_text'] = df_categories['name'].apply(lambda x: clean_text(str(x)))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "478d3f64",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_categories['token_text'] = df_categories['clear_text'].apply(lambda x: custom_tokenize(x))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "384507d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_categories['wout_stop_text'] = df_categories['token_text'].apply(lambda text: [word for word in text if word not in stop_words])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "1d2f4071",
   "metadata": {},
   "outputs": [],
   "source": [
    "morph = pymorphy2.MorphAnalyzer(lang='ru')\n",
    "df_categories['lemm_text'] = df_categories['wout_stop_text'].apply(lambda text: [mystem.lemmatize(word)[0] for word in text])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "eaecedd9",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_categories['lemm_text'] = df_categories['lemm_text'].apply(lambda text: poser(text))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "94dcbad5",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_categories['name_vec'] = df_categories['lemm_text'].apply(lambda tokens: vec(tokens))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "9ce579dc",
   "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>name</th>\n",
       "      <th>clear_text</th>\n",
       "      <th>token_text</th>\n",
       "      <th>wout_stop_text</th>\n",
       "      <th>lemm_text</th>\n",
       "      <th>name_vec</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Разное/Другое</td>\n",
       "      <td>разноедругое</td>\n",
       "      <td>[разноедругое]</td>\n",
       "      <td>[разноедругое]</td>\n",
       "      <td>[разноедругий_NOUN]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Транспортные услуги</td>\n",
       "      <td>транспортные услуги</td>\n",
       "      <td>[транспортные, услуги]</td>\n",
       "      <td>[транспортные, услуги]</td>\n",
       "      <td>[транспортный_ADJF, услуга_NOUN]</td>\n",
       "      <td>[0.07352566905319691, -0.036984898149967194, -...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Розничная торговля специализированными товарами</td>\n",
       "      <td>розничная торговля специализированными товарами</td>\n",
       "      <td>[розничная, торговля, специализированными, тов...</td>\n",
       "      <td>[розничная, торговля, специализированными, тов...</td>\n",
       "      <td>[розничный_ADJF, торговля_NOUN, специализирова...</td>\n",
       "      <td>[0.035802845687915884, -0.07007122412323952, 0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Компенсационные и рекламные соглашения</td>\n",
       "      <td>компенсационные и рекламные соглашения</td>\n",
       "      <td>[компенсационные, и, рекламные, соглашения]</td>\n",
       "      <td>[компенсационные, рекламные, соглашения]</td>\n",
       "      <td>[компенсационный_ADJF, рекламный_ADJF, соглаше...</td>\n",
       "      <td>[0.03764469797412554, 0.03701644390821457, -0....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Услуги, предоставляемые организациями и лицензии</td>\n",
       "      <td>услуги предоставляемые организациями и лицензии</td>\n",
       "      <td>[услуги, предоставляемые, организациями, и, ли...</td>\n",
       "      <td>[услуги, предоставляемые, организациями, лицен...</td>\n",
       "      <td>[услуга_NOUN, предоставлять_INFN, организация_...</td>\n",
       "      <td>[0.07202888652682304, -0.021297676178316276, -...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Оптовая торговля и оборудование</td>\n",
       "      <td>оптовая торговля и оборудование</td>\n",
       "      <td>[оптовая, торговля, и, оборудование]</td>\n",
       "      <td>[оптовая, торговля, оборудование]</td>\n",
       "      <td>[оптовый_ADJF, торговля_NOUN, оборудование_NOUN]</td>\n",
       "      <td>[0.03616852809985479, -0.04483107974131902, 0....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Розничная торговля</td>\n",
       "      <td>розничная торговля</td>\n",
       "      <td>[розничная, торговля]</td>\n",
       "      <td>[розничная, торговля]</td>\n",
       "      <td>[розничный_ADJF, торговля_NOUN]</td>\n",
       "      <td>[0.013406626181676984, -0.0868225060403347, -0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Безопасность и занятость</td>\n",
       "      <td>безопасность и занятость</td>\n",
       "      <td>[безопасность, и, занятость]</td>\n",
       "      <td>[безопасность, занятость]</td>\n",
       "      <td>[безопасность_NOUN, занятость_NOUN]</td>\n",
       "      <td>[-0.003230201080441475, 0.03566934820264578, -...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Услуги и процессы производства, включая произв...</td>\n",
       "      <td>услуги и процессы производства включая произво...</td>\n",
       "      <td>[услуги, и, процессы, производства, включая, п...</td>\n",
       "      <td>[услуги, процессы, производства, включая, прои...</td>\n",
       "      <td>[услуга_NOUN, процесс_NOUN, производство_NOUN,...</td>\n",
       "      <td>[0.011796917455891768, -0.01992074027657509, 0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Производство различных предметов, включая мета...</td>\n",
       "      <td>производство различных предметов включая метал...</td>\n",
       "      <td>[производство, различных, предметов, включая, ...</td>\n",
       "      <td>[производство, различных, предметов, включая, ...</td>\n",
       "      <td>[производство_NOUN, различный_ADJF, предмет_NO...</td>\n",
       "      <td>[0.01958571234717965, -0.015097837464418262, -...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                name  \\\n",
       "0                                      Разное/Другое   \n",
       "1                                Транспортные услуги   \n",
       "2    Розничная торговля специализированными товарами   \n",
       "3             Компенсационные и рекламные соглашения   \n",
       "4   Услуги, предоставляемые организациями и лицензии   \n",
       "5                    Оптовая торговля и оборудование   \n",
       "6                                 Розничная торговля   \n",
       "7                           Безопасность и занятость   \n",
       "8  Услуги и процессы производства, включая произв...   \n",
       "9  Производство различных предметов, включая мета...   \n",
       "\n",
       "                                          clear_text  \\\n",
       "0                                       разноедругое   \n",
       "1                                транспортные услуги   \n",
       "2    розничная торговля специализированными товарами   \n",
       "3             компенсационные и рекламные соглашения   \n",
       "4    услуги предоставляемые организациями и лицензии   \n",
       "5                    оптовая торговля и оборудование   \n",
       "6                                 розничная торговля   \n",
       "7                           безопасность и занятость   \n",
       "8  услуги и процессы производства включая произво...   \n",
       "9  производство различных предметов включая метал...   \n",
       "\n",
       "                                          token_text  \\\n",
       "0                                     [разноедругое]   \n",
       "1                             [транспортные, услуги]   \n",
       "2  [розничная, торговля, специализированными, тов...   \n",
       "3        [компенсационные, и, рекламные, соглашения]   \n",
       "4  [услуги, предоставляемые, организациями, и, ли...   \n",
       "5               [оптовая, торговля, и, оборудование]   \n",
       "6                              [розничная, торговля]   \n",
       "7                       [безопасность, и, занятость]   \n",
       "8  [услуги, и, процессы, производства, включая, п...   \n",
       "9  [производство, различных, предметов, включая, ...   \n",
       "\n",
       "                                      wout_stop_text  \\\n",
       "0                                     [разноедругое]   \n",
       "1                             [транспортные, услуги]   \n",
       "2  [розничная, торговля, специализированными, тов...   \n",
       "3           [компенсационные, рекламные, соглашения]   \n",
       "4  [услуги, предоставляемые, организациями, лицен...   \n",
       "5                  [оптовая, торговля, оборудование]   \n",
       "6                              [розничная, торговля]   \n",
       "7                          [безопасность, занятость]   \n",
       "8  [услуги, процессы, производства, включая, прои...   \n",
       "9  [производство, различных, предметов, включая, ...   \n",
       "\n",
       "                                           lemm_text  \\\n",
       "0                                [разноедругий_NOUN]   \n",
       "1                   [транспортный_ADJF, услуга_NOUN]   \n",
       "2  [розничный_ADJF, торговля_NOUN, специализирова...   \n",
       "3  [компенсационный_ADJF, рекламный_ADJF, соглаше...   \n",
       "4  [услуга_NOUN, предоставлять_INFN, организация_...   \n",
       "5   [оптовый_ADJF, торговля_NOUN, оборудование_NOUN]   \n",
       "6                    [розничный_ADJF, торговля_NOUN]   \n",
       "7                [безопасность_NOUN, занятость_NOUN]   \n",
       "8  [услуга_NOUN, процесс_NOUN, производство_NOUN,...   \n",
       "9  [производство_NOUN, различный_ADJF, предмет_NO...   \n",
       "\n",
       "                                            name_vec  \n",
       "0  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...  \n",
       "1  [0.07352566905319691, -0.036984898149967194, -...  \n",
       "2  [0.035802845687915884, -0.07007122412323952, 0...  \n",
       "3  [0.03764469797412554, 0.03701644390821457, -0....  \n",
       "4  [0.07202888652682304, -0.021297676178316276, -...  \n",
       "5  [0.03616852809985479, -0.04483107974131902, 0....  \n",
       "6  [0.013406626181676984, -0.0868225060403347, -0...  \n",
       "7  [-0.003230201080441475, 0.03566934820264578, -...  \n",
       "8  [0.011796917455891768, -0.01992074027657509, 0...  \n",
       "9  [0.01958571234717965, -0.015097837464418262, -...  "
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_categories.head(10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "e82af3d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "d = dict(zip(df_categories['name'],df_categories['name_vec']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "4a417bdd",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tqdm import tqdm\n",
    "tqdm.pandas()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "a9503b37",
   "metadata": {},
   "outputs": [],
   "source": [
    "test_vec = pur['name_vec'].iloc[8]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "fdae03a4",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "\"Key 'Разное/Другое' not present\"",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[169], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mword2vec_model\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmost_similar_to_given\u001b[49m\u001b[43m(\u001b[49m\u001b[43md\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtest_vec\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/opt/anaconda3/lib/python3.9/site-packages/gensim/models/keyedvectors.py:653\u001b[0m, in \u001b[0;36mKeyedVectors.most_similar_to_given\u001b[0;34m(self, key1, keys_list)\u001b[0m\n\u001b[1;32m    651\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmost_similar_to_given\u001b[39m(\u001b[38;5;28mself\u001b[39m, key1, keys_list):\n\u001b[1;32m    652\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Get the `key` from `keys_list` most similar to `key1`.\"\"\"\u001b[39;00m\n\u001b[0;32m--> 653\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m keys_list[argmax([\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msimilarity(key1, key) \u001b[38;5;28;01mfor\u001b[39;00m key \u001b[38;5;129;01min\u001b[39;00m keys_list])]\n",
      "File \u001b[0;32m/opt/anaconda3/lib/python3.9/site-packages/gensim/models/keyedvectors.py:653\u001b[0m, in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    651\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmost_similar_to_given\u001b[39m(\u001b[38;5;28mself\u001b[39m, key1, keys_list):\n\u001b[1;32m    652\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Get the `key` from `keys_list` most similar to `key1`.\"\"\"\u001b[39;00m\n\u001b[0;32m--> 653\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m keys_list[argmax([\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msimilarity\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey1\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m key \u001b[38;5;129;01min\u001b[39;00m keys_list])]\n",
      "File \u001b[0;32m/opt/anaconda3/lib/python3.9/site-packages/gensim/models/keyedvectors.py:1234\u001b[0m, in \u001b[0;36mKeyedVectors.similarity\u001b[0;34m(self, w1, w2)\u001b[0m\n\u001b[1;32m   1218\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21msimilarity\u001b[39m(\u001b[38;5;28mself\u001b[39m, w1, w2):\n\u001b[1;32m   1219\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Compute cosine similarity between two keys.\u001b[39;00m\n\u001b[1;32m   1220\u001b[0m \n\u001b[1;32m   1221\u001b[0m \u001b[38;5;124;03m    Parameters\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1232\u001b[0m \n\u001b[1;32m   1233\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m-> 1234\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m dot(matutils\u001b[38;5;241m.\u001b[39munitvec(\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m[\u001b[49m\u001b[43mw1\u001b[49m\u001b[43m]\u001b[49m), matutils\u001b[38;5;241m.\u001b[39munitvec(\u001b[38;5;28mself\u001b[39m[w2]))\n",
      "File \u001b[0;32m/opt/anaconda3/lib/python3.9/site-packages/gensim/models/keyedvectors.py:405\u001b[0m, in \u001b[0;36mKeyedVectors.__getitem__\u001b[0;34m(self, key_or_keys)\u001b[0m\n\u001b[1;32m    402\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(key_or_keys, _KEY_TYPES):\n\u001b[1;32m    403\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_vector(key_or_keys)\n\u001b[0;32m--> 405\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m vstack([\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_vector(key) \u001b[38;5;28;01mfor\u001b[39;00m key \u001b[38;5;129;01min\u001b[39;00m key_or_keys])\n",
      "File \u001b[0;32m/opt/anaconda3/lib/python3.9/site-packages/gensim/models/keyedvectors.py:405\u001b[0m, in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    402\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(key_or_keys, _KEY_TYPES):\n\u001b[1;32m    403\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_vector(key_or_keys)\n\u001b[0;32m--> 405\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m vstack([\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_vector\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m key \u001b[38;5;129;01min\u001b[39;00m key_or_keys])\n",
      "File \u001b[0;32m/opt/anaconda3/lib/python3.9/site-packages/gensim/models/keyedvectors.py:446\u001b[0m, in \u001b[0;36mKeyedVectors.get_vector\u001b[0;34m(self, key, norm)\u001b[0m\n\u001b[1;32m    422\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_vector\u001b[39m(\u001b[38;5;28mself\u001b[39m, key, norm\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m):\n\u001b[1;32m    423\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Get the key's vector, as a 1D numpy array.\u001b[39;00m\n\u001b[1;32m    424\u001b[0m \n\u001b[1;32m    425\u001b[0m \u001b[38;5;124;03m    Parameters\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    444\u001b[0m \n\u001b[1;32m    445\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 446\u001b[0m     index \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_index\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    447\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m norm:\n\u001b[1;32m    448\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfill_norms()\n",
      "File \u001b[0;32m/opt/anaconda3/lib/python3.9/site-packages/gensim/models/keyedvectors.py:420\u001b[0m, in \u001b[0;36mKeyedVectors.get_index\u001b[0;34m(self, key, default)\u001b[0m\n\u001b[1;32m    418\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m default\n\u001b[1;32m    419\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 420\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mKey \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkey\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m not present\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
      "\u001b[0;31mKeyError\u001b[0m: \"Key 'Разное/Другое' not present\""
     ]
    }
   ],
   "source": [
    "word2vec_model.most_similar_to_given(test_vec, d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 345,
   "id": "add0378d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['услуга',\n",
       "  'прочий',\n",
       "  'кроме',\n",
       "  'изделие',\n",
       "  'торговля',\n",
       "  'другой',\n",
       "  'группировка',\n",
       "  'машина',\n",
       "  'оборудование',\n",
       "  'часть',\n",
       "  'производство',\n",
       "  'включать',\n",
       "  'розничный',\n",
       "  'субподрядчик',\n",
       "  'выполнять'],\n",
       " ['проживание',\n",
       "  'уход',\n",
       "  'обеспечение',\n",
       "  'социальный',\n",
       "  'инвалид',\n",
       "  'помощь',\n",
       "  'обеспечение',\n",
       "  'дневный',\n",
       "  'престарелый',\n",
       "  'ребенок',\n",
       "  'услуга',\n",
       "  'непосредственно',\n",
       "  'осуществлять',\n",
       "  'медицинский',\n",
       "  'прочий',\n",
       "  'инвалид'],\n",
       " ['разработка',\n",
       "  'научный',\n",
       "  'исследование',\n",
       "  'экспериментальный',\n",
       "  'связанный',\n",
       "  'наука',\n",
       "  'область',\n",
       "  'биотехнология',\n",
       "  'сельскохозяйственный',\n",
       "  'гуманитарный',\n",
       "  'естественный',\n",
       "  'услуга',\n",
       "  'общественный',\n",
       "  'технический',\n",
       "  'выращивание',\n",
       "  'окружающий',\n",
       "  'технология',\n",
       "  'здоровье',\n",
       "  'культура',\n",
       "  'среда'],\n",
       " ['нестационарный',\n",
       "  'торговый',\n",
       "  'продажа',\n",
       "  'рынок',\n",
       "  'объект',\n",
       "  'осуществление',\n",
       "  'магазин',\n",
       "  'вне',\n",
       "  'розничный',\n",
       "  'торговля',\n",
       "  'аукцион',\n",
       "  'доставка',\n",
       "  'агент',\n",
       "  'прямой',\n",
       "  'рынок',\n",
       "  'текстиль',\n",
       "  'табачный'],\n",
       " ['вспомогательный',\n",
       "  'страхование',\n",
       "  'пенсионный',\n",
       "  'деятельность',\n",
       "  'обеспечение',\n",
       "  'связанный',\n",
       "  'включать',\n",
       "  'предпринимательский',\n",
       "  'прочий',\n",
       "  'группировка',\n",
       "  'другой',\n",
       "  'сфера',\n",
       "  'транспортный',\n",
       "  'отношение',\n",
       "  'услуга',\n",
       "  'финансовый',\n",
       "  'услуга',\n",
       "  'банковский',\n",
       "  'посредничество'],\n",
       " ['транспорт',\n",
       "  'перевозка',\n",
       "  'перевозка',\n",
       "  'пассажир',\n",
       "  'груз',\n",
       "  'связанный',\n",
       "  'воздушный',\n",
       "  'водный',\n",
       "  'железнодорожный',\n",
       "  'услуга',\n",
       "  'каботажный',\n",
       "  'заграничный',\n",
       "  'транспорт',\n",
       "  'внутренний',\n",
       "  'суд',\n",
       "  'автомобильный',\n",
       "  'сообщение',\n",
       "  'морской',\n",
       "  'пассажирский'],\n",
       " ['трудоустройство',\n",
       "  'персонал',\n",
       "  'обеспечение',\n",
       "  'трудовой',\n",
       "  'временный',\n",
       "  'ресурс',\n",
       "  'агентство',\n",
       "  'область',\n",
       "  'агентство',\n",
       "  'предоставлять',\n",
       "  'прочий',\n",
       "  'услуга',\n",
       "  'прочий',\n",
       "  'медицинский',\n",
       "  'обслуживать',\n",
       "  'рекламный',\n",
       "  'торговый',\n",
       "  'руководящий',\n",
       "  'работник'],\n",
       " ['предоставлять',\n",
       "  'организация',\n",
       "  'профессиональный',\n",
       "  'орган',\n",
       "  'экстерриториальный',\n",
       "  'членский',\n",
       "  'союз',\n",
       "  'политический',\n",
       "  'коммерческий',\n",
       "  'предпринимательский',\n",
       "  'услуга',\n",
       "  'правозащитный',\n",
       "  'защита',\n",
       "  'группа',\n",
       "  'окружающий',\n",
       "  'среда',\n",
       "  'корнеуборочный',\n",
       "  'корм',\n",
       "  'кормилец',\n",
       "  'корм'],\n",
       " ['продукт',\n",
       "  'химический',\n",
       "  'отдельный',\n",
       "  'выполнять',\n",
       "  'субподрядчик',\n",
       "  'производство',\n",
       "  'основной',\n",
       "  'доставка',\n",
       "  'вещество',\n",
       "  'прочий',\n",
       "  'питание',\n",
       "  'ресторан',\n",
       "  'услуга',\n",
       "  'агрохимический',\n",
       "  'пестицид',\n",
       "  'взрывчатый',\n",
       "  'диетический',\n",
       "  'фармацевтический',\n",
       "  'неорганический'],\n",
       " ['оказывать',\n",
       "  'организация',\n",
       "  'кредит',\n",
       "  'предоставление',\n",
       "  'нефинансовый',\n",
       "  'финансовый',\n",
       "  'лицо',\n",
       "  'ипотечный',\n",
       "  'клуб',\n",
       "  'спортивный',\n",
       "  'услуга',\n",
       "  'членский',\n",
       "  'физический',\n",
       "  'выдача',\n",
       "  'жилищный',\n",
       "  'стипендия',\n",
       "  'неипотечный',\n",
       "  'пособие',\n",
       "  'нежилищный'],\n",
       " ['договорной',\n",
       "  'вознаграждение',\n",
       "  'основа',\n",
       "  'оптовый',\n",
       "  'торговля',\n",
       "  'продажа',\n",
       "  'услуга',\n",
       "  'сырье',\n",
       "  'место',\n",
       "  'предоставлять',\n",
       "  'покупка',\n",
       "  'изделие',\n",
       "  'недвижимый',\n",
       "  'живой',\n",
       "  'прочее',\n",
       "  'время'],\n",
       " ['изделие',\n",
       "  'торговля',\n",
       "  'специализированный',\n",
       "  'магазин',\n",
       "  'розничный',\n",
       "  'оптовый',\n",
       "  'кондитерский',\n",
       "  'услуга',\n",
       "  'ювелирный',\n",
       "  'текстильный',\n",
       "  'ортопедический',\n",
       "  'табачный',\n",
       "  'плетеный',\n",
       "  'хлебобулочный',\n",
       "  'посуда',\n",
       "  'применять',\n",
       "  'час',\n",
       "  'ножевой',\n",
       "  'хлеб'],\n",
       " ['средство',\n",
       "  'автотранспортный',\n",
       "  'торговля',\n",
       "  'такой',\n",
       "  'розничный',\n",
       "  'пассажирский',\n",
       "  'специализированный',\n",
       "  'магазин',\n",
       "  'оптовый',\n",
       "  'прочее',\n",
       "  'превышать',\n",
       "  'проходимость',\n",
       "  'повышенный',\n",
       "  'микроавтобус',\n",
       "  'вес',\n",
       "  'который',\n",
       "  'лекарственный',\n",
       "  'скорый'],\n",
       " ['материал',\n",
       "  'оборудование',\n",
       "  'специализированный',\n",
       "  'магазин',\n",
       "  'торговля',\n",
       "  'розничный',\n",
       "  'технический',\n",
       "  'лакокрасочный',\n",
       "  'санитарный',\n",
       "  'торговля',\n",
       "  'розничный',\n",
       "  'мобильный',\n",
       "  'телефон',\n",
       "  'телекоммуникационный',\n",
       "  'строительный',\n",
       "  'смазочный',\n",
       "  'охлаждающий',\n",
       "  'офисный',\n",
       "  'поделка'],\n",
       " ['оптовый',\n",
       "  'торговля',\n",
       "  'оборудование',\n",
       "  'машина',\n",
       "  'услуга',\n",
       "  'инструмент',\n",
       "  'станок',\n",
       "  'часть',\n",
       "  'корм',\n",
       "  'семя',\n",
       "  'неспециализированный',\n",
       "  'сельскохозяйственный',\n",
       "  'лом',\n",
       "  'необработанный',\n",
       "  'электроэнергия',\n",
       "  'шкура',\n",
       "  'табак',\n",
       "  'зерно',\n",
       "  'кожа'],\n",
       " ['розничный',\n",
       "  'специализированный',\n",
       "  'магазин',\n",
       "  'торговля',\n",
       "  'узел',\n",
       "  'деталь',\n",
       "  'принадлежность',\n",
       "  'услуга',\n",
       "  'мотоцикл',\n",
       "  'топливо',\n",
       "  'автомобильный',\n",
       "  'книга',\n",
       "  'музыкальный',\n",
       "  'одежда',\n",
       "  'напиток',\n",
       "  'моторный',\n",
       "  'диск',\n",
       "  'ремонт'],\n",
       " ['товар',\n",
       "  'бытовой',\n",
       "  'торговля',\n",
       "  'специализированный',\n",
       "  'магазин',\n",
       "  'розничный',\n",
       "  'включать',\n",
       "  'оптовый',\n",
       "  'спортивный',\n",
       "  'прочее',\n",
       "  'группировка',\n",
       "  'другой',\n",
       "  'прибор',\n",
       "  'услуга',\n",
       "  'электротовары',\n",
       "  'электроприбор',\n",
       "  'спортивный',\n",
       "  'непродовольственный'],\n",
       " ['продукт',\n",
       "  'оптовый',\n",
       "  'пищевой',\n",
       "  'торговля',\n",
       "  'мясо',\n",
       "  'прочее',\n",
       "  'мясной',\n",
       "  'специализированный',\n",
       "  'магазин',\n",
       "  'розничный',\n",
       "  'табачный',\n",
       "  'услуга',\n",
       "  'напиток',\n",
       "  'подобный',\n",
       "  'гомогенизированный',\n",
       "  'диетический',\n",
       "  'включая',\n",
       "  'промежуточный',\n",
       "  'газообразный'],\n",
       " ['литье',\n",
       "  'металл',\n",
       "  'цветной',\n",
       "  'чугун',\n",
       "  'прочий',\n",
       "  'легкое',\n",
       "  'услуга',\n",
       "  'становиться',\n",
       "  'отдельный',\n",
       "  'выполнять',\n",
       "  'субподрядчик',\n",
       "  'производство',\n",
       "  'галогенид',\n",
       "  'ковка',\n",
       "  'штамповка',\n",
       "  'компрессор',\n",
       "  'насос',\n",
       "  'станков',\n",
       "  'серый'],\n",
       " ['изделие',\n",
       "  'производство',\n",
       "  'отдельный',\n",
       "  'выполнять',\n",
       "  'субподрядчик',\n",
       "  'уборка',\n",
       "  'чистка',\n",
       "  'услуга',\n",
       "  'обувь',\n",
       "  'керамический',\n",
       "  'кондитерский',\n",
       "  'мучной',\n",
       "  'прочий',\n",
       "  'пластмассовый',\n",
       "  'технический',\n",
       "  'пирожное',\n",
       "  'крепежный',\n",
       "  'торт'],\n",
       " ['обработка',\n",
       "  'металлический',\n",
       "  'покрытие',\n",
       "  'нанесение',\n",
       "  'технологический',\n",
       "  'машиностроение',\n",
       "  'процесс',\n",
       "  'использование',\n",
       "  'основной',\n",
       "  'груз',\n",
       "  'услуга',\n",
       "  'металл',\n",
       "  'металл',\n",
       "  'токарная',\n",
       "  'порт',\n",
       "  'деталь',\n",
       "  'изделие',\n",
       "  'контейнер'],\n",
       " ['отдельный',\n",
       "  'выполнять',\n",
       "  'субподрядчик',\n",
       "  'производство',\n",
       "  'услуга',\n",
       "  'строительный',\n",
       "  'изделие',\n",
       "  'котел',\n",
       "  'цемент',\n",
       "  'холоднокатаный',\n",
       "  'проволока',\n",
       "  'тара',\n",
       "  'обрабатывать',\n",
       "  'листовой',\n",
       "  'гипс',\n",
       "  'бетон',\n",
       "  'центральный',\n",
       "  'отопление',\n",
       "  'волокнистый'],\n",
       " ['операция',\n",
       "  'процесс',\n",
       "  'производство',\n",
       "  'отдельный',\n",
       "  'выполнять',\n",
       "  'субподрядчик',\n",
       "  'способ',\n",
       "  'прочий',\n",
       "  'текстильный',\n",
       "  'изделие',\n",
       "  'отделка',\n",
       "  'мясо',\n",
       "  'тепловой',\n",
       "  'обработка',\n",
       "  'ткань',\n",
       "  'переработка',\n",
       "  'фрукт',\n",
       "  'картофель',\n",
       "  'овощ'],\n",
       " ['оборудование',\n",
       "  'ремонт',\n",
       "  'обслуживание',\n",
       "  'технический',\n",
       "  'монтаж',\n",
       "  'прочий',\n",
       "  'электрический',\n",
       "  'услуга',\n",
       "  'назначение',\n",
       "  'выполнять',\n",
       "  'субподрядчик',\n",
       "  'отдельный',\n",
       "  'производство',\n",
       "  'машина',\n",
       "  'коммуникационный',\n",
       "  'электронный',\n",
       "  'включать',\n",
       "  'средство',\n",
       "  'металлоизделие'],\n",
       " ['лизинг',\n",
       "  'аренда',\n",
       "  'средство',\n",
       "  'транспортный',\n",
       "  'машина',\n",
       "  'оборудование',\n",
       "  'услуга',\n",
       "  'грузовой',\n",
       "  'материальный',\n",
       "  'финансовый',\n",
       "  'воздушный',\n",
       "  'сублизинг',\n",
       "  'гражданский',\n",
       "  'офисный',\n",
       "  'автотранспортный',\n",
       "  'водный',\n",
       "  'строительный',\n",
       "  'сельскохозяйственный',\n",
       "  'включать'],\n",
       " ['организация',\n",
       "  'проведение',\n",
       "  'подготовка',\n",
       "  'пари',\n",
       "  'расследование',\n",
       "  'конференция',\n",
       "  'выставка',\n",
       "  'услуга',\n",
       "  'торговый',\n",
       "  'квалификация',\n",
       "  'высокий',\n",
       "  'это',\n",
       "  'заключение',\n",
       "  'кадр',\n",
       "  'строительный',\n",
       "  'заключение',\n",
       "  'площадка',\n",
       "  'азартный',\n",
       "  'похороны'],\n",
       " ['безопасность',\n",
       "  'обеспечение',\n",
       "  'обеспечение',\n",
       "  'социальный',\n",
       "  'общественный',\n",
       "  'обязательный',\n",
       "  'питание',\n",
       "  'область',\n",
       "  'услуга',\n",
       "  'питание',\n",
       "  'торжественный',\n",
       "  'поставка',\n",
       "  'пособие',\n",
       "  'военный',\n",
       "  'мероприятие',\n",
       "  'продукция',\n",
       "  'договор',\n",
       "  'чрезвычайный',\n",
       "  'энергия'],\n",
       " ['суд',\n",
       "  'экипаж',\n",
       "  'аренда',\n",
       "  'перевозка',\n",
       "  'путь',\n",
       "  'морской',\n",
       "  'водный',\n",
       "  'транспорт',\n",
       "  'дорога',\n",
       "  'заграничный',\n",
       "  'внутренний',\n",
       "  'плавание',\n",
       "  'каботажный',\n",
       "  'воздушный',\n",
       "  'груз',\n",
       "  'водный',\n",
       "  'прогулочный',\n",
       "  'внутренний'],\n",
       " ['консультативный',\n",
       "  'вопрос',\n",
       "  'архитектура',\n",
       "  'область',\n",
       "  'управление',\n",
       "  'проект',\n",
       "  'услуга',\n",
       "  'руководство',\n",
       "  'связанный',\n",
       "  'технический',\n",
       "  'ландшафтный',\n",
       "  'стандартизация',\n",
       "  'предприятие',\n",
       "  'каталогизация',\n",
       "  'аккредитация',\n",
       "  'оборудование',\n",
       "  'компьютерный',\n",
       "  'метрология',\n",
       "  'программный'],\n",
       " ['отдых',\n",
       "  'развлечение',\n",
       "  'занятие',\n",
       "  'парк',\n",
       "  'спорт',\n",
       "  'искусство',\n",
       "  'культура',\n",
       "  'прокат',\n",
       "  'тематический',\n",
       "  'учреждение',\n",
       "  'область',\n",
       "  'творчество',\n",
       "  'снаряд',\n",
       "  'бассейн',\n",
       "  'инвентарь',\n",
       "  'услуга',\n",
       "  'спорт',\n",
       "  'оборудование',\n",
       "  'организация'],\n",
       " ['государственный',\n",
       "  'управление',\n",
       "  'характер',\n",
       "  'связанный',\n",
       "  'услуга',\n",
       "  'коммерческий',\n",
       "  'повышение',\n",
       "  'отрасль',\n",
       "  'обеспечивать',\n",
       "  'вопрос',\n",
       "  'общий',\n",
       "  'эффективность',\n",
       "  'деятельность',\n",
       "  'здравоохранение',\n",
       "  'орган',\n",
       "  'предприятие',\n",
       "  'область',\n",
       "  'деятельность',\n",
       "  'сфера',\n",
       "  'культура'],\n",
       " ['кинофильм',\n",
       "  'программа',\n",
       "  'телевизионный',\n",
       "  'видеофильм',\n",
       "  'передача',\n",
       "  'доступный',\n",
       "  'составление',\n",
       "  'редактирование',\n",
       "  'подписка',\n",
       "  'телепрограмма',\n",
       "  'сеть',\n",
       "  'телекоммуникационный',\n",
       "  'отснимать',\n",
       "  'компоновка',\n",
       "  'распространение',\n",
       "  'потоковый',\n",
       "  'демонстрация',\n",
       "  'услуга'],\n",
       " ['образование',\n",
       "  'коммуникационный',\n",
       "  'информационно',\n",
       "  'сеть',\n",
       "  'интернет',\n",
       "  'область',\n",
       "  'общий',\n",
       "  'высокий',\n",
       "  'средний',\n",
       "  'дистанционный',\n",
       "  'телекоммуникационный',\n",
       "  'профессиональный',\n",
       "  'услуга',\n",
       "  'беспроводный',\n",
       "  'начальный',\n",
       "  'доступ',\n",
       "  'основный',\n",
       "  'сеть',\n",
       "  'магистратура',\n",
       "  'специалитет'],\n",
       " ['область',\n",
       "  'фотография',\n",
       "  'деятельность',\n",
       "  'услуга',\n",
       "  'оздоровительный',\n",
       "  'медицина',\n",
       "  'физкультурный',\n",
       "  'стоматология',\n",
       "  'спорт',\n",
       "  'прочий',\n",
       "  'отношение',\n",
       "  'юстиция',\n",
       "  'правосудие',\n",
       "  'образование',\n",
       "  'международный',\n",
       "  'специализированный',\n",
       "  'картография',\n",
       "  'консультирование',\n",
       "  'налоговый',\n",
       "  'ортодонтия'],\n",
       " ['связь',\n",
       "  'цель',\n",
       "  'вещание',\n",
       "  'информация',\n",
       "  'телефонный',\n",
       "  'представительство',\n",
       "  'консультация',\n",
       "  'спутниковый',\n",
       "  'право',\n",
       "  'пользование',\n",
       "  'почтовый',\n",
       "  'телевизионный',\n",
       "  'кабельный',\n",
       "  'фиксировать',\n",
       "  'услуга',\n",
       "  'юридический',\n",
       "  'подвижный',\n",
       "  'радиовещание',\n",
       "  'общий'],\n",
       " ['трубопровод',\n",
       "  'газ',\n",
       "  'нефть',\n",
       "  'природный',\n",
       "  'снабжение',\n",
       "  'вода',\n",
       "  'газообразный',\n",
       "  'пар',\n",
       "  'топливо',\n",
       "  'распределение',\n",
       "  'транспортировка',\n",
       "  'подавать',\n",
       "  'газ',\n",
       "  'кондиционирование',\n",
       "  'поставлять',\n",
       "  'услуга',\n",
       "  'добыча',\n",
       "  'горячий',\n",
       "  'продукт'],\n",
       " ['информационный',\n",
       "  'технология',\n",
       "  'издание',\n",
       "  'разработка',\n",
       "  'печатание',\n",
       "  'программный',\n",
       "  'обеспечение',\n",
       "  'газета',\n",
       "  'услуга',\n",
       "  'издание',\n",
       "  'программный',\n",
       "  'тестирование',\n",
       "  'периодический',\n",
       "  'область',\n",
       "  'проектирование',\n",
       "  'компьютерный',\n",
       "  'прикладной',\n",
       "  'задача',\n",
       "  'консультационный'],\n",
       " ['отход',\n",
       "  'сбор',\n",
       "  'неопасный',\n",
       "  'опасный',\n",
       "  'утилизация',\n",
       "  'переработка',\n",
       "  'повторный',\n",
       "  'использование',\n",
       "  'удаление',\n",
       "  'атомный',\n",
       "  'услуга',\n",
       "  'промышленность',\n",
       "  'прочий',\n",
       "  'очистка',\n",
       "  'рекультивация',\n",
       "  'непригодный',\n",
       "  'пригодный',\n",
       "  'городской'],\n",
       " ['страхование',\n",
       "  'обязательство',\n",
       "  'перестрахование',\n",
       "  'жизнь',\n",
       "  'ответственность',\n",
       "  'имущество',\n",
       "  'услуга',\n",
       "  'поручительство',\n",
       "  'расход',\n",
       "  'дело',\n",
       "  'несчастный',\n",
       "  'потеря',\n",
       "  'ведение',\n",
       "  'случай',\n",
       "  'ущерб',\n",
       "  'различный',\n",
       "  'судебный',\n",
       "  'медицинский'],\n",
       " ['услуга',\n",
       "  'упаковывание',\n",
       "  'захоронение',\n",
       "  'перестрахование',\n",
       "  'переезд',\n",
       "  'рекультивация',\n",
       "  'утилизация',\n",
       "  'пенсионный',\n",
       "  'чучело',\n",
       "  'мусор',\n",
       "  'руководство',\n",
       "  'набивка',\n",
       "  'отход',\n",
       "  'проект',\n",
       "  'строительный',\n",
       "  'обеспечение',\n",
       "  'педикюр',\n",
       "  'кредитоспособность',\n",
       "  'кремация'],\n",
       " ['бронирование',\n",
       "  'туристический',\n",
       "  'услуга',\n",
       "  'агентство',\n",
       "  'компания',\n",
       "  'билет',\n",
       "  'холдинговый',\n",
       "  'туроператор',\n",
       "  'агент',\n",
       "  'казино',\n",
       "  'брокер',\n",
       "  'лотерейный',\n",
       "  'распространитель',\n",
       "  'страховой',\n",
       "  'музей',\n",
       "  'библиотека',\n",
       "  'архив',\n",
       "  'место',\n",
       "  'транспортный',\n",
       "  'экспедиционный'],\n",
       " ['строительный',\n",
       "  'работа',\n",
       "  'строительство',\n",
       "  'сооружение',\n",
       "  'сооружение',\n",
       "  'дорога',\n",
       "  'дорога',\n",
       "  'автомобильный',\n",
       "  'автомобильный',\n",
       "  'здание',\n",
       "  'снос',\n",
       "  'прокладка',\n",
       "  'взлетный',\n",
       "  'аэродром',\n",
       "  'гражданский',\n",
       "  'железный',\n",
       "  'объект',\n",
       "  'автомагистраль',\n",
       "  'электроснабжение'],\n",
       " ['работа',\n",
       "  'буровой',\n",
       "  'пол',\n",
       "  'стена',\n",
       "  'строительный',\n",
       "  'электромонтажный',\n",
       "  'монтажный',\n",
       "  'устройство',\n",
       "  'отделочный',\n",
       "  'малярный',\n",
       "  'разведочный',\n",
       "  'лебедка',\n",
       "  'облицовка',\n",
       "  'штукатурный',\n",
       "  'стекольный',\n",
       "  'здание',\n",
       "  'завершать',\n",
       "  'прочий',\n",
       "  'установка',\n",
       "  'сооружение'],\n",
       " ['картон',\n",
       "  'бумага',\n",
       "  'гофрировать',\n",
       "  'гофрировать',\n",
       "  'отдельный',\n",
       "  'выполнять',\n",
       "  'субподрядчик',\n",
       "  'производство',\n",
       "  'производство',\n",
       "  'коробка',\n",
       "  'коробок',\n",
       "  'ящик',\n",
       "  'карточка',\n",
       "  'почтовый',\n",
       "  'ящик',\n",
       "  'набор',\n",
       "  'изделие'],\n",
       " ['прибор',\n",
       "  'бытовой',\n",
       "  'оптический',\n",
       "  'домашний',\n",
       "  'электрический',\n",
       "  'отдельный',\n",
       "  'выполнять',\n",
       "  'субподрядчик',\n",
       "  'производство',\n",
       "  'неэлектрический',\n",
       "  'кабель',\n",
       "  'ремонт',\n",
       "  'часть',\n",
       "  'садовый',\n",
       "  'мебель',\n",
       "  'обиход',\n",
       "  'инвентарь',\n",
       "  'предмет',\n",
       "  'прочий'],\n",
       " ['предоставление',\n",
       "  'лицензия',\n",
       "  'временный',\n",
       "  'жилье',\n",
       "  'право',\n",
       "  'использование',\n",
       "  'краткосрочный',\n",
       "  'место',\n",
       "  'посетитель',\n",
       "  'услуга',\n",
       "  'авторский',\n",
       "  'охранять',\n",
       "  'список',\n",
       "  'использовать',\n",
       "  'интеллектуальный',\n",
       "  'связанный',\n",
       "  'адресат',\n",
       "  'право'],\n",
       " ['бумага',\n",
       "  'картон',\n",
       "  'графический',\n",
       "  'письмо',\n",
       "  'цель',\n",
       "  'крафт',\n",
       "  'печать',\n",
       "  'прочий',\n",
       "  'каолин',\n",
       "  'неорганический',\n",
       "  'вещество',\n",
       "  'чернила',\n",
       "  'лист',\n",
       "  'использовать',\n",
       "  'мелованный',\n",
       "  'копировальный',\n",
       "  'немелованный',\n",
       "  'рулон'],\n",
       " ['хозяйство',\n",
       "  'сельский',\n",
       "  'вид',\n",
       "  'использовать',\n",
       "  'печать',\n",
       "  'совмещать',\n",
       "  'садоводство',\n",
       "  'битуминозный',\n",
       "  'полуобработанный',\n",
       "  'пробка',\n",
       "  'необработанный',\n",
       "  'изображение',\n",
       "  'порошок',\n",
       "  'натуральный',\n",
       "  'агломерировать',\n",
       "  'шариковый',\n",
       "  'роликовый',\n",
       "  'белье'],\n",
       " ['мощность',\n",
       "  'электродвигатель',\n",
       "  'генератор',\n",
       "  'ток',\n",
       "  'трактор',\n",
       "  'переменный',\n",
       "  'постоянный',\n",
       "  'ковер',\n",
       "  '37',\n",
       "  'вт',\n",
       "  'полуприцеп',\n",
       "  'квт',\n",
       "  'прочий',\n",
       "  'зажигание',\n",
       "  'трансформатор',\n",
       "  'прицеп',\n",
       "  'напольный',\n",
       "  'покрытие',\n",
       "  'текстильный'],\n",
       " ['фракция',\n",
       "  'масло',\n",
       "  'масло',\n",
       "  'нерафинированный',\n",
       "  'рафинированный',\n",
       "  'модификация',\n",
       "  'химический',\n",
       "  'растительный',\n",
       "  'подвергать',\n",
       "  'жир',\n",
       "  'животное',\n",
       "  'листовой',\n",
       "  'способ',\n",
       "  'стекло',\n",
       "  'эфирный',\n",
       "  'обрабатывать'],\n",
       " ['первичный',\n",
       "  'форма',\n",
       "  'полимер',\n",
       "  'смола',\n",
       "  'эфир',\n",
       "  'сложный',\n",
       "  'элемент',\n",
       "  'каучук',\n",
       "  'олефин',\n",
       "  'синтетический',\n",
       "  'прочий',\n",
       "  'полиацетать',\n",
       "  'стирол',\n",
       "  'простой',\n",
       "  'окатыш',\n",
       "  'поликарбонат',\n",
       "  'эпоксидный',\n",
       "  'каучук',\n",
       "  'алкидный',\n",
       "  'галогенированный'],\n",
       " ['средство',\n",
       "  'судно',\n",
       "  'сгорание',\n",
       "  'внутренний',\n",
       "  'транспортный',\n",
       "  'двигатель',\n",
       "  'автотранспортный',\n",
       "  'объем',\n",
       "  'рабочий',\n",
       "  'см3',\n",
       "  'цилиндр',\n",
       "  'двигатель',\n",
       "  'искровой',\n",
       "  'зажигание',\n",
       "  'поршневой',\n",
       "  'плавучий',\n",
       "  'спортивный',\n",
       "  'чистить'],\n",
       " ['часть',\n",
       "  'двигатель',\n",
       "  'принадлежность',\n",
       "  'аппарат',\n",
       "  'насос',\n",
       "  'летательный',\n",
       "  'машина',\n",
       "  'жидкость',\n",
       "  'турбина',\n",
       "  'космический',\n",
       "  'мотоциклетный',\n",
       "  'оборудование',\n",
       "  'авиационный',\n",
       "  'компрессор',\n",
       "  'кроме',\n",
       "  'коляска',\n",
       "  'автомобильный'],\n",
       " ['труба',\n",
       "  'стальной',\n",
       "  'фитинг',\n",
       "  'диаметр',\n",
       "  '406',\n",
       "  'наружный',\n",
       "  'сварной',\n",
       "  'трубка',\n",
       "  'мм',\n",
       "  'труба',\n",
       "  'сечение',\n",
       "  'пустотелый',\n",
       "  'круглый',\n",
       "  'профиль',\n",
       "  'трубка',\n",
       "  'чугун',\n",
       "  'газопровод',\n",
       "  'насосный'],\n",
       " ['прокат',\n",
       "  'листовой',\n",
       "  'сталь',\n",
       "  'менее',\n",
       "  '600',\n",
       "  'ширина',\n",
       "  'дополнительный',\n",
       "  'мм',\n",
       "  'обработка',\n",
       "  'горячекатаный',\n",
       "  'стальной',\n",
       "  'незамкнутый',\n",
       "  'холоднокатаный',\n",
       "  'нелегированный',\n",
       "  'сортовой',\n",
       "  'горячекатаный',\n",
       "  'катанка',\n",
       "  'легированный'],\n",
       " ['проволока',\n",
       "  'профиль',\n",
       "  'пруток',\n",
       "  'холоднотянутый',\n",
       "  'сплав',\n",
       "  'становиться',\n",
       "  'полуфабрикат',\n",
       "  'стержень',\n",
       "  'нелегированный',\n",
       "  'алюминий',\n",
       "  'поперечный',\n",
       "  'алюминиевый',\n",
       "  'размер',\n",
       "  'фасонный',\n",
       "  'листовой',\n",
       "  'мононити',\n",
       "  'никель',\n",
       "  'сечение'],\n",
       " ['емкость',\n",
       "  'черный',\n",
       "  'металл',\n",
       "  'цистерна',\n",
       "  'аналогичный',\n",
       "  'вместимость',\n",
       "  'резервуар',\n",
       "  'бочка',\n",
       "  'газ',\n",
       "  '300',\n",
       "  '50',\n",
       "  'медь',\n",
       "  'барабан',\n",
       "  'любой',\n",
       "  'банк',\n",
       "  'конденсатор',\n",
       "  'ящик',\n",
       "  'алюминий'],\n",
       " ['ткань',\n",
       "  'пряжа',\n",
       "  'волокно',\n",
       "  'нить',\n",
       "  'расфасовывать',\n",
       "  'волос',\n",
       "  'кроме',\n",
       "  'текстильный',\n",
       "  'комплексный',\n",
       "  'штапельный',\n",
       "  'ткань',\n",
       "  'нить',\n",
       "  'текстильный',\n",
       "  'пряжа',\n",
       "  'хлопчатобумажный',\n",
       "  'продажа',\n",
       "  'махровый',\n",
       "  'нитка'],\n",
       " ['стекло',\n",
       "  'санитарный',\n",
       "  'изделие',\n",
       "  'технический',\n",
       "  'керамика',\n",
       "  'стекло',\n",
       "  'посуда',\n",
       "  'туалетный',\n",
       "  'аналогичный',\n",
       "  'прочее',\n",
       "  'эмаль',\n",
       "  'крышка',\n",
       "  'гнутый',\n",
       "  'гигиенический',\n",
       "  'столовая',\n",
       "  'хозяйственный',\n",
       "  'обрабатывать',\n",
       "  'гигиенический'],\n",
       " ['живой',\n",
       "  'животное',\n",
       "  'семейство',\n",
       "  'грибница',\n",
       "  'корневище',\n",
       "  'луковица',\n",
       "  'черенок',\n",
       "  'отводка',\n",
       "  'клубнелуковица',\n",
       "  'растение',\n",
       "  'свинья',\n",
       "  'овца',\n",
       "  'лошадь',\n",
       "  'верблюдов',\n",
       "  'верблюд',\n",
       "  'коза',\n",
       "  'растительный',\n",
       "  'материал',\n",
       "  'лошадиный',\n",
       "  'прочий'],\n",
       " ['устройство',\n",
       "  'автоматический',\n",
       "  'данный',\n",
       "  'обработка',\n",
       "  'запоминать',\n",
       "  'осветительный',\n",
       "  'светильник',\n",
       "  'вывод',\n",
       "  'проектор',\n",
       "  'содержать',\n",
       "  'плата',\n",
       "  'ввод',\n",
       "  'корпус',\n",
       "  'вычислительный',\n",
       "  'один',\n",
       "  'электронный',\n",
       "  'цифровой',\n",
       "  'прочий',\n",
       "  'видеоплата'],\n",
       " ['бетон',\n",
       "  'сборный',\n",
       "  'деревянный',\n",
       "  'изделие',\n",
       "  'строительный',\n",
       "  'цемент',\n",
       "  'здание',\n",
       "  'гипс',\n",
       "  'металл',\n",
       "  'глина',\n",
       "  'черепица',\n",
       "  'кирпич',\n",
       "  'искусственный',\n",
       "  'столярный',\n",
       "  'прочий',\n",
       "  'камень',\n",
       "  'поддон',\n",
       "  'обжигать'],\n",
       " ['изделие',\n",
       "  'плита',\n",
       "  'лист',\n",
       "  'керамический',\n",
       "  'аналогичный',\n",
       "  'полоса',\n",
       "  'пленка',\n",
       "  'прочий',\n",
       "  'лента',\n",
       "  'пластмассовый',\n",
       "  'ювелирный',\n",
       "  'материал',\n",
       "  'лента',\n",
       "  'плитка',\n",
       "  'подобный',\n",
       "  'сумка',\n",
       "  'дерево',\n",
       "  'бижутерия'],\n",
       " ['трикотажный',\n",
       "  'вязаный',\n",
       "  'одежда',\n",
       "  'вязаный',\n",
       "  'одежда',\n",
       "  'трикотажный',\n",
       "  'текстильный',\n",
       "  'аксессуар',\n",
       "  'мальчиков',\n",
       "  'рубашка',\n",
       "  'материал',\n",
       "  'женский',\n",
       "  'девочка',\n",
       "  'костюм',\n",
       "  'мужской',\n",
       "  'кроме',\n",
       "  'плащ',\n",
       "  'халат'],\n",
       " ['детский',\n",
       "  'питание',\n",
       "  'число',\n",
       "  'мясо',\n",
       "  'семейство',\n",
       "  'животный',\n",
       "  'субпродукт',\n",
       "  'парный',\n",
       "  'остыть',\n",
       "  'пищевой',\n",
       "  'охлаждать',\n",
       "  'олений',\n",
       "  'скот',\n",
       "  'крупный',\n",
       "  'рогатый',\n",
       "  'оленевый',\n",
       "  'прочий',\n",
       "  'лошадиный'],\n",
       " ['продукция',\n",
       "  'прочий',\n",
       "  'молоко',\n",
       "  'связанный',\n",
       "  'включать',\n",
       "  'рыболовство',\n",
       "  'рыбоводство',\n",
       "  'пресноводный',\n",
       "  'морской',\n",
       "  'сырой',\n",
       "  'рыба',\n",
       "  'группировка',\n",
       "  'другой',\n",
       "  'сливки',\n",
       "  'охота',\n",
       "  'производство',\n",
       "  'минеральный',\n",
       "  'дикий',\n",
       "  'разведение'],\n",
       " ['оборудование',\n",
       "  'прочее',\n",
       "  'электрический',\n",
       "  'часть',\n",
       "  'промышленный',\n",
       "  'силовой',\n",
       "  'гидравлический',\n",
       "  'путевой',\n",
       "  'металлообрабатывающий',\n",
       "  'пневматический',\n",
       "  'механический',\n",
       "  'холодильный',\n",
       "  'моторный',\n",
       "  'вагон',\n",
       "  'коммуникационный',\n",
       "  'движение',\n",
       "  'подвижный',\n",
       "  'металлургия',\n",
       "  'локомотив'],\n",
       " ['отходы',\n",
       "  'сырье',\n",
       "  'вторичный',\n",
       "  'содержать',\n",
       "  'опасный',\n",
       "  'производство',\n",
       "  'побочный',\n",
       "  'удобрение',\n",
       "  'остаток',\n",
       "  'минеральный',\n",
       "  'растительный',\n",
       "  'металл',\n",
       "  'органический',\n",
       "  'воск',\n",
       "  'производство',\n",
       "  'химический',\n",
       "  'продукт',\n",
       "  'прочий',\n",
       "  'растительный',\n",
       "  'пушно'],\n",
       " ['прибор',\n",
       "  'инструмент',\n",
       "  'аппаратура',\n",
       "  'измерение',\n",
       "  'оптический',\n",
       "  'музыкальный',\n",
       "  'контроль',\n",
       "  'прочий',\n",
       "  'величина',\n",
       "  'ручной',\n",
       "  'автоматический',\n",
       "  'духовой',\n",
       "  'давление',\n",
       "  'регулирование',\n",
       "  'управление',\n",
       "  'термостат',\n",
       "  'ионизировать',\n",
       "  'электрический'],\n",
       " ['продукт',\n",
       "  'соединение',\n",
       "  'рыбоводство',\n",
       "  'продукция',\n",
       "  'производный',\n",
       "  'прочий',\n",
       "  'химический',\n",
       "  'пищевой',\n",
       "  'вещество',\n",
       "  'мука',\n",
       "  'включать',\n",
       "  'органический',\n",
       "  'являться',\n",
       "  'водный',\n",
       "  'живой',\n",
       "  'помол',\n",
       "  'группировка'],\n",
       " ['печатный',\n",
       "  'прочий',\n",
       "  'плата',\n",
       "  'книга',\n",
       "  'смонтировать',\n",
       "  'издание',\n",
       "  'фотокамера',\n",
       "  'газета',\n",
       "  'периодический',\n",
       "  'журнал',\n",
       "  'качели',\n",
       "  'получение',\n",
       "  'энциклопедия',\n",
       "  'красота',\n",
       "  'переводной',\n",
       "  'салон',\n",
       "  'тир',\n",
       "  'моментальный',\n",
       "  'денатурировать',\n",
       "  'карусель'],\n",
       " ['включать',\n",
       "  'группировка',\n",
       "  'другой',\n",
       "  'кв',\n",
       "  'напряжение',\n",
       "  'прочий',\n",
       "  'защита',\n",
       "  'комплект',\n",
       "  'коммутация',\n",
       "  'цепь',\n",
       "  'электрический',\n",
       "  'изделие',\n",
       "  'провод',\n",
       "  'информационный',\n",
       "  'готовый'],\n",
       " ['семя',\n",
       "  'культура',\n",
       "  'плод',\n",
       "  'свекла',\n",
       "  'кустарник',\n",
       "  'дерево',\n",
       "  'масличный',\n",
       "  'сахарный',\n",
       "  'плодовый',\n",
       "  'косточковый',\n",
       "  'семечковый',\n",
       "  'цитрусовый',\n",
       "  'семя',\n",
       "  'прочий',\n",
       "  'включать',\n",
       "  'рапс',\n",
       "  'цветочный',\n",
       "  'кормовой',\n",
       "  'кунжут',\n",
       "  'горчица']]"
      ]
     },
     "execution_count": 345,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 303,
   "id": "15792f5e",
   "metadata": {},
   "outputs": [
    {
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       "      <td>Транспортные услуги</td>\n",
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       "      <td>Розничная торговля специализированными товарами</td>\n",
       "      <td>розничная торговля специализированными товарами</td>\n",
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       "      <td>[розничная, торговля]</td>\n",
       "      <td>[розничная, торговля]</td>\n",
       "      <td>[розничный_ADJF, торговля_NOUN]</td>\n",
       "      <td>[0.013406626181676984, -0.0868225060403347, -0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Безопасность и занятость</td>\n",
       "      <td>безопасность и занятость</td>\n",
       "      <td>[безопасность, и, занятость]</td>\n",
       "      <td>[безопасность, занятость]</td>\n",
       "      <td>[безопасность_NOUN, занятость_NOUN]</td>\n",
       "      <td>[-0.003230201080441475, 0.03566934820264578, -...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Услуги и процессы производства, включая произв...</td>\n",
       "      <td>услуги и процессы производства включая произво...</td>\n",
       "      <td>[услуги, и, процессы, производства, включая, п...</td>\n",
       "      <td>[услуги, процессы, производства, включая, прои...</td>\n",
       "      <td>[услуга_NOUN, процесс_NOUN, производство_NOUN,...</td>\n",
       "      <td>[0.011796917455891768, -0.01992074027657509, 0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Производство различных предметов, включая мета...</td>\n",
       "      <td>производство различных предметов включая метал...</td>\n",
       "      <td>[производство, различных, предметов, включая, ...</td>\n",
       "      <td>[производство, различных, предметов, включая, ...</td>\n",
       "      <td>[производство_NOUN, различный_ADJF, предмет_NO...</td>\n",
       "      <td>[0.01958571234717965, -0.015097837464418262, -...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Государственные и консультационные услуги, вкл...</td>\n",
       "      <td>государственные и консультационные услуги вклю...</td>\n",
       "      <td>[государственные, и, консультационные, услуги,...</td>\n",
       "      <td>[государственные, консультационные, услуги, вк...</td>\n",
       "      <td>[государственный_ADJF, консультационный_ADJF, ...</td>\n",
       "      <td>[0.02278996491804719, -0.016851394860581917, -...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Исследования и разработки в области образовани...</td>\n",
       "      <td>исследования и разработки в области образовани...</td>\n",
       "      <td>[исследования, и, разработки, в, области, обра...</td>\n",
       "      <td>[исследования, разработки, области, образовани...</td>\n",
       "      <td>[исследование_NOUN, разработка_NOUN, область_N...</td>\n",
       "      <td>[-0.0008457276659707228, -0.011080296368163545...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Строительство и инжиниринг</td>\n",
       "      <td>строительство и инжиниринг</td>\n",
       "      <td>[строительство, и, инжиниринг]</td>\n",
       "      <td>[строительство, инжиниринг]</td>\n",
       "      <td>[строительство_NOUN, инжиниринг_NOUN]</td>\n",
       "      <td>[-0.03554479405283928, 0.014498250558972359, -...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Управление отходами</td>\n",
       "      <td>управление отходами</td>\n",
       "      <td>[управление, отходами]</td>\n",
       "      <td>[управление, отходами]</td>\n",
       "      <td>[управление_NOUN, отход_NOUN]</td>\n",
       "      <td>[0.028072917833924294, 0.009167760144919157, -...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Связь и услуги</td>\n",
       "      <td>связь и услуги</td>\n",
       "      <td>[связь, и, услуги]</td>\n",
       "      <td>[связь, услуги]</td>\n",
       "      <td>[связь_NOUN, услуга_NOUN]</td>\n",
       "      <td>[0.05103133828379214, -0.042267123237252235, -...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Транспорт и лизинг</td>\n",
       "      <td>транспорт и лизинг</td>\n",
       "      <td>[транспорт, и, лизинг]</td>\n",
       "      <td>[транспорт, лизинг]</td>\n",
       "      <td>[транспорт_NOUN, лизинг_NOUN]</td>\n",
       "      <td>[0.017779200337827206, -0.0773247741162777, -0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Технические услуги и обслуживание оборудования</td>\n",
       "      <td>технические услуги и обслуживание оборудования</td>\n",
       "      <td>[технические, услуги, и, обслуживание, оборудо...</td>\n",
       "      <td>[технические, услуги, обслуживание, оборудования]</td>\n",
       "      <td>[технический_ADJF, услуга_NOUN, обслуживание_N...</td>\n",
       "      <td>[0.05594205902889371, -0.00600385176949203, -0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Печатные и цифровые СМИ</td>\n",
       "      <td>печатные и цифровые сми</td>\n",
       "      <td>[печатные, и, цифровые, сми]</td>\n",
       "      <td>[печатные, цифровые, сми]</td>\n",
       "      <td>[печатный_ADJF, цифровой_ADJF, сми_NOUN]</td>\n",
       "      <td>[0.09460744758447011, 0.01796681961665551, -0....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Электротехника и энергетическое оборудование</td>\n",
       "      <td>электротехника и энергетическое оборудование</td>\n",
       "      <td>[электротехника, и, энергетическое, оборудование]</td>\n",
       "      <td>[электротехника, энергетическое, оборудование]</td>\n",
       "      <td>[электротехника_NOUN, энергетический_ADJF, обо...</td>\n",
       "      <td>[-0.00930699830253919, -0.04582910363872846, 0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Трикотажная и вязаная одежда и аксессуары</td>\n",
       "      <td>трикотажная и вязаная одежда и аксессуары</td>\n",
       "      <td>[трикотажная, и, вязаная, одежда, и, аксессуары]</td>\n",
       "      <td>[трикотажная, вязаная, одежда, аксессуары]</td>\n",
       "      <td>[трикотажный_ADJF, вязаный_ADJF, одежда_NOUN, ...</td>\n",
       "      <td>[0.028430006903363392, -0.013181054266169667, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Транспорт и чистящие средства</td>\n",
       "      <td>транспорт и чистящие средства</td>\n",
       "      <td>[транспорт, и, чистящие, средства]</td>\n",
       "      <td>[транспорт, чистящие, средства]</td>\n",
       "      <td>[транспорт_NOUN, чистить_INFN, средство_NOUN]</td>\n",
       "      <td>[0.04902301914989948, -0.05830561742186546, -0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Продовольствие и сельское хозяйство</td>\n",
       "      <td>продовольствие и сельское хозяйство</td>\n",
       "      <td>[продовольствие, и, сельское, хозяйство]</td>\n",
       "      <td>[продовольствие, сельское, хозяйство]</td>\n",
       "      <td>[продовольствие_NOUN, сельский_ADJF, хозяйство...</td>\n",
       "      <td>[0.04094406023311118, -0.07816914469003677, 0....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Рыба и водные животные</td>\n",
       "      <td>рыба и водные животные</td>\n",
       "      <td>[рыба, и, водные, животные]</td>\n",
       "      <td>[рыба, водные, животные]</td>\n",
       "      <td>[рыба_NOUN, водный_ADJF, животное_NOUN]</td>\n",
       "      <td>[-0.05097283764431874, 0.01746099585822473, -0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Стальная продукция</td>\n",
       "      <td>стальная продукция</td>\n",
       "      <td>[стальная, продукция]</td>\n",
       "      <td>[стальная, продукция]</td>\n",
       "      <td>[стальной_ADJF, продукция_NOUN]</td>\n",
       "      <td>[0.04992797691375017, 0.020877554547041655, 0....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Инструменты и аппаратура</td>\n",
       "      <td>инструменты и аппаратура</td>\n",
       "      <td>[инструменты, и, аппаратура]</td>\n",
       "      <td>[инструменты, аппаратура]</td>\n",
       "      <td>[инструмент_NOUN, аппаратура_NOUN]</td>\n",
       "      <td>[0.0614389069378376, 0.012476484684157185, -0....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Отходы и сырье</td>\n",
       "      <td>отходы и сырье</td>\n",
       "      <td>[отходы, и, сырье]</td>\n",
       "      <td>[отходы, сырье]</td>\n",
       "      <td>[отходы_NOUN, сырье_NOUN]</td>\n",
       "      <td>[-0.004692540853284299, -0.015434209257364273,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Промышленные машины и оборудование</td>\n",
       "      <td>промышленные машины и оборудование</td>\n",
       "      <td>[промышленные, машины, и, оборудование]</td>\n",
       "      <td>[промышленные, машины, оборудование]</td>\n",
       "      <td>[промышленный_ADJF, машина_NOUN, оборудование_...</td>\n",
       "      <td>[0.018704661789039772, 0.006120368838310242, -...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Строительные материалы</td>\n",
       "      <td>строительные материалы</td>\n",
       "      <td>[строительные, материалы]</td>\n",
       "      <td>[строительные, материалы]</td>\n",
       "      <td>[строительный_ADJF, материал_NOUN]</td>\n",
       "      <td>[0.020492171868681908, 0.0021455977112054825, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Детали и принадлежности машин</td>\n",
       "      <td>детали и принадлежности машин</td>\n",
       "      <td>[детали, и, принадлежности, машин]</td>\n",
       "      <td>[детали, принадлежности, машин]</td>\n",
       "      <td>[деталь_NOUN, принадлежность_NOUN, машина_NOUN]</td>\n",
       "      <td>[0.05075601954013109, -0.002142170754571756, -...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Бизнес-организации и продукты</td>\n",
       "      <td>бизнесорганизации и продукты</td>\n",
       "      <td>[бизнесорганизации, и, продукты]</td>\n",
       "      <td>[бизнесорганизации, продукты]</td>\n",
       "      <td>[бизнесорганизация_NOUN, продукт_NOUN]</td>\n",
       "      <td>[-0.03099334053695202, 0.006156654562801123, -...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 name  \\\n",
       "0                                       Разное/Другое   \n",
       "1                                 Транспортные услуги   \n",
       "2     Розничная торговля специализированными товарами   \n",
       "3              Компенсационные и рекламные соглашения   \n",
       "4    Услуги, предоставляемые организациями и лицензии   \n",
       "5                     Оптовая торговля и оборудование   \n",
       "6                                  Розничная торговля   \n",
       "7                            Безопасность и занятость   \n",
       "8   Услуги и процессы производства, включая произв...   \n",
       "9   Производство различных предметов, включая мета...   \n",
       "10  Государственные и консультационные услуги, вкл...   \n",
       "11  Исследования и разработки в области образовани...   \n",
       "12                         Строительство и инжиниринг   \n",
       "13                                Управление отходами   \n",
       "14                                     Связь и услуги   \n",
       "15                                 Транспорт и лизинг   \n",
       "16     Технические услуги и обслуживание оборудования   \n",
       "17                            Печатные и цифровые СМИ   \n",
       "18       Электротехника и энергетическое оборудование   \n",
       "19          Трикотажная и вязаная одежда и аксессуары   \n",
       "20                      Транспорт и чистящие средства   \n",
       "21                Продовольствие и сельское хозяйство   \n",
       "22                             Рыба и водные животные   \n",
       "23                                 Стальная продукция   \n",
       "24                           Инструменты и аппаратура   \n",
       "25                                     Отходы и сырье   \n",
       "26                 Промышленные машины и оборудование   \n",
       "27                             Строительные материалы   \n",
       "28                      Детали и принадлежности машин   \n",
       "29                      Бизнес-организации и продукты   \n",
       "\n",
       "                                           clear_text  \\\n",
       "0                                        разноедругое   \n",
       "1                                 транспортные услуги   \n",
       "2     розничная торговля специализированными товарами   \n",
       "3              компенсационные и рекламные соглашения   \n",
       "4     услуги предоставляемые организациями и лицензии   \n",
       "5                     оптовая торговля и оборудование   \n",
       "6                                  розничная торговля   \n",
       "7                            безопасность и занятость   \n",
       "8   услуги и процессы производства включая произво...   \n",
       "9   производство различных предметов включая метал...   \n",
       "10  государственные и консультационные услуги вклю...   \n",
       "11  исследования и разработки в области образовани...   \n",
       "12                         строительство и инжиниринг   \n",
       "13                                управление отходами   \n",
       "14                                     связь и услуги   \n",
       "15                                 транспорт и лизинг   \n",
       "16     технические услуги и обслуживание оборудования   \n",
       "17                            печатные и цифровые сми   \n",
       "18       электротехника и энергетическое оборудование   \n",
       "19          трикотажная и вязаная одежда и аксессуары   \n",
       "20                      транспорт и чистящие средства   \n",
       "21                продовольствие и сельское хозяйство   \n",
       "22                             рыба и водные животные   \n",
       "23                                 стальная продукция   \n",
       "24                           инструменты и аппаратура   \n",
       "25                                     отходы и сырье   \n",
       "26                 промышленные машины и оборудование   \n",
       "27                             строительные материалы   \n",
       "28                      детали и принадлежности машин   \n",
       "29                       бизнесорганизации и продукты   \n",
       "\n",
       "                                           token_text  \\\n",
       "0                                      [разноедругое]   \n",
       "1                              [транспортные, услуги]   \n",
       "2   [розничная, торговля, специализированными, тов...   \n",
       "3         [компенсационные, и, рекламные, соглашения]   \n",
       "4   [услуги, предоставляемые, организациями, и, ли...   \n",
       "5                [оптовая, торговля, и, оборудование]   \n",
       "6                               [розничная, торговля]   \n",
       "7                        [безопасность, и, занятость]   \n",
       "8   [услуги, и, процессы, производства, включая, п...   \n",
       "9   [производство, различных, предметов, включая, ...   \n",
       "10  [государственные, и, консультационные, услуги,...   \n",
       "11  [исследования, и, разработки, в, области, обра...   \n",
       "12                     [строительство, и, инжиниринг]   \n",
       "13                             [управление, отходами]   \n",
       "14                                 [связь, и, услуги]   \n",
       "15                             [транспорт, и, лизинг]   \n",
       "16  [технические, услуги, и, обслуживание, оборудо...   \n",
       "17                       [печатные, и, цифровые, сми]   \n",
       "18  [электротехника, и, энергетическое, оборудование]   \n",
       "19   [трикотажная, и, вязаная, одежда, и, аксессуары]   \n",
       "20                 [транспорт, и, чистящие, средства]   \n",
       "21           [продовольствие, и, сельское, хозяйство]   \n",
       "22                        [рыба, и, водные, животные]   \n",
       "23                              [стальная, продукция]   \n",
       "24                       [инструменты, и, аппаратура]   \n",
       "25                                 [отходы, и, сырье]   \n",
       "26            [промышленные, машины, и, оборудование]   \n",
       "27                          [строительные, материалы]   \n",
       "28                 [детали, и, принадлежности, машин]   \n",
       "29                   [бизнесорганизации, и, продукты]   \n",
       "\n",
       "                                       wout_stop_text  \\\n",
       "0                                      [разноедругое]   \n",
       "1                              [транспортные, услуги]   \n",
       "2   [розничная, торговля, специализированными, тов...   \n",
       "3            [компенсационные, рекламные, соглашения]   \n",
       "4   [услуги, предоставляемые, организациями, лицен...   \n",
       "5                   [оптовая, торговля, оборудование]   \n",
       "6                               [розничная, торговля]   \n",
       "7                           [безопасность, занятость]   \n",
       "8   [услуги, процессы, производства, включая, прои...   \n",
       "9   [производство, различных, предметов, включая, ...   \n",
       "10  [государственные, консультационные, услуги, вк...   \n",
       "11  [исследования, разработки, области, образовани...   \n",
       "12                        [строительство, инжиниринг]   \n",
       "13                             [управление, отходами]   \n",
       "14                                    [связь, услуги]   \n",
       "15                                [транспорт, лизинг]   \n",
       "16  [технические, услуги, обслуживание, оборудования]   \n",
       "17                          [печатные, цифровые, сми]   \n",
       "18     [электротехника, энергетическое, оборудование]   \n",
       "19         [трикотажная, вязаная, одежда, аксессуары]   \n",
       "20                    [транспорт, чистящие, средства]   \n",
       "21              [продовольствие, сельское, хозяйство]   \n",
       "22                           [рыба, водные, животные]   \n",
       "23                              [стальная, продукция]   \n",
       "24                          [инструменты, аппаратура]   \n",
       "25                                    [отходы, сырье]   \n",
       "26               [промышленные, машины, оборудование]   \n",
       "27                          [строительные, материалы]   \n",
       "28                    [детали, принадлежности, машин]   \n",
       "29                      [бизнесорганизации, продукты]   \n",
       "\n",
       "                                            lemm_text  \\\n",
       "0                                 [разноедругий_NOUN]   \n",
       "1                    [транспортный_ADJF, услуга_NOUN]   \n",
       "2   [розничный_ADJF, торговля_NOUN, специализирова...   \n",
       "3   [компенсационный_ADJF, рекламный_ADJF, соглаше...   \n",
       "4   [услуга_NOUN, предоставлять_INFN, организация_...   \n",
       "5    [оптовый_ADJF, торговля_NOUN, оборудование_NOUN]   \n",
       "6                     [розничный_ADJF, торговля_NOUN]   \n",
       "7                 [безопасность_NOUN, занятость_NOUN]   \n",
       "8   [услуга_NOUN, процесс_NOUN, производство_NOUN,...   \n",
       "9   [производство_NOUN, различный_ADJF, предмет_NO...   \n",
       "10  [государственный_ADJF, консультационный_ADJF, ...   \n",
       "11  [исследование_NOUN, разработка_NOUN, область_N...   \n",
       "12              [строительство_NOUN, инжиниринг_NOUN]   \n",
       "13                      [управление_NOUN, отход_NOUN]   \n",
       "14                          [связь_NOUN, услуга_NOUN]   \n",
       "15                      [транспорт_NOUN, лизинг_NOUN]   \n",
       "16  [технический_ADJF, услуга_NOUN, обслуживание_N...   \n",
       "17           [печатный_ADJF, цифровой_ADJF, сми_NOUN]   \n",
       "18  [электротехника_NOUN, энергетический_ADJF, обо...   \n",
       "19  [трикотажный_ADJF, вязаный_ADJF, одежда_NOUN, ...   \n",
       "20      [транспорт_NOUN, чистить_INFN, средство_NOUN]   \n",
       "21  [продовольствие_NOUN, сельский_ADJF, хозяйство...   \n",
       "22            [рыба_NOUN, водный_ADJF, животное_NOUN]   \n",
       "23                    [стальной_ADJF, продукция_NOUN]   \n",
       "24                 [инструмент_NOUN, аппаратура_NOUN]   \n",
       "25                          [отходы_NOUN, сырье_NOUN]   \n",
       "26  [промышленный_ADJF, машина_NOUN, оборудование_...   \n",
       "27                 [строительный_ADJF, материал_NOUN]   \n",
       "28    [деталь_NOUN, принадлежность_NOUN, машина_NOUN]   \n",
       "29             [бизнесорганизация_NOUN, продукт_NOUN]   \n",
       "\n",
       "                                             name_vec  \n",
       "0   [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...  \n",
       "1   [0.07352566905319691, -0.036984898149967194, -...  \n",
       "2   [0.035802845687915884, -0.07007122412323952, 0...  \n",
       "3   [0.03764469797412554, 0.03701644390821457, -0....  \n",
       "4   [0.07202888652682304, -0.021297676178316276, -...  \n",
       "5   [0.03616852809985479, -0.04483107974131902, 0....  \n",
       "6   [0.013406626181676984, -0.0868225060403347, -0...  \n",
       "7   [-0.003230201080441475, 0.03566934820264578, -...  \n",
       "8   [0.011796917455891768, -0.01992074027657509, 0...  \n",
       "9   [0.01958571234717965, -0.015097837464418262, -...  \n",
       "10  [0.02278996491804719, -0.016851394860581917, -...  \n",
       "11  [-0.0008457276659707228, -0.011080296368163545...  \n",
       "12  [-0.03554479405283928, 0.014498250558972359, -...  \n",
       "13  [0.028072917833924294, 0.009167760144919157, -...  \n",
       "14  [0.05103133828379214, -0.042267123237252235, -...  \n",
       "15  [0.017779200337827206, -0.0773247741162777, -0...  \n",
       "16  [0.05594205902889371, -0.00600385176949203, -0...  \n",
       "17  [0.09460744758447011, 0.01796681961665551, -0....  \n",
       "18  [-0.00930699830253919, -0.04582910363872846, 0...  \n",
       "19  [0.028430006903363392, -0.013181054266169667, ...  \n",
       "20  [0.04902301914989948, -0.05830561742186546, -0...  \n",
       "21  [0.04094406023311118, -0.07816914469003677, 0....  \n",
       "22  [-0.05097283764431874, 0.01746099585822473, -0...  \n",
       "23  [0.04992797691375017, 0.020877554547041655, 0....  \n",
       "24  [0.0614389069378376, 0.012476484684157185, -0....  \n",
       "25  [-0.004692540853284299, -0.015434209257364273,...  \n",
       "26  [0.018704661789039772, 0.006120368838310242, -...  \n",
       "27  [0.020492171868681908, 0.0021455977112054825, ...  \n",
       "28  [0.05075601954013109, -0.002142170754571756, -...  \n",
       "29  [-0.03099334053695202, 0.006156654562801123, -...  "
      ]
     },
     "execution_count": 303,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 386,
   "id": "29704294",
   "metadata": {},
   "outputs": [],
   "source": [
    "def match(vec):\n",
    "    return t_names[np.argmax(word2vec_model.cosine_similarities(vec, theme_vec))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 387,
   "id": "8b7054e4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████| 1059564/1059564 [00:58<00:00, 18104.57it/s]\n"
     ]
    }
   ],
   "source": [
    "pur['theme'] = pur['name_vec'].progress_apply(match)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 395,
   "id": "ae4eda0e",
   "metadata": {},
   "outputs": [],
   "source": [
    "pur.drop(['Unnamed: 0', 'clear_text', 'token_text', 'wout_stop_text', 'lemm_text', 'name_vec'], axis=1).to_csv('purchase_with_themes.csv', sep=';')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "id": "c422d60a",
   "metadata": {},
   "outputs": [
    {
     "ename": "ImportError",
     "evalue": "cannot import name 'softcossim' from 'gensim.matutils' (/opt/anaconda3/lib/python3.9/site-packages/gensim/matutils.py)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mImportError\u001b[0m                               Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[234], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msklearn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmetrics\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpairwise\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m cosine_similarity\n\u001b[0;32m----> 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mgensim\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmatutils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m softcossim\n",
      "\u001b[0;31mImportError\u001b[0m: cannot import name 'softcossim' from 'gensim.matutils' (/opt/anaconda3/lib/python3.9/site-packages/gensim/matutils.py)"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics.pairwise import cosine_similarity\n",
    "from gensim.matutils import softcossim "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "id": "c648c5c7",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>id</th>\n",
       "      <th>purchase_name</th>\n",
       "      <th>lot_name</th>\n",
       "      <th>price</th>\n",
       "      <th>customer_inn</th>\n",
       "      <th>customer_name</th>\n",
       "      <th>delivery_region</th>\n",
       "      <th>publish_date</th>\n",
       "      <th>contract_category</th>\n",
       "      <th>clear_text</th>\n",
       "      <th>token_text</th>\n",
       "      <th>wout_stop_text</th>\n",
       "      <th>lemm_text</th>\n",
       "      <th>name_vec</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>purch_3880086</td>\n",
       "      <td>Дератизация и дезинсекция</td>\n",
       "      <td>Услуги по дезинфекции, дезинсекции и дератизации</td>\n",
       "      <td>32400.00</td>\n",
       "      <td>7825010179</td>\n",
       "      <td>САНКТ-ПЕТЕРБУРГСКОЕ ГОСУДАРСТВЕННОЕ БЮДЖЕТНОЕ ...</td>\n",
       "      <td>Санкт-Петербург</td>\n",
       "      <td>2021-12-13 16:20:28.000</td>\n",
       "      <td>Потребность</td>\n",
       "      <td>дератизация и дезинсекция</td>\n",
       "      <td>[дератизация, и, дезинсекция]</td>\n",
       "      <td>[дератизация, дезинсекция]</td>\n",
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       "      <td>Оказание услуг по техническому обслуживанию уз...</td>\n",
       "      <td>Услуги по техническому обслуживанию приборов у...</td>\n",
       "      <td>62400.00</td>\n",
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       "      <td>САНКТ-ПЕТЕРБУРГСКОЕ ГОСУДАРСТВЕННОЕ УНИТАРНОЕ ...</td>\n",
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       "      <td>оказание услуг по техническому обслуживанию уз...</td>\n",
       "      <td>[оказание, услуг, по, техническому, обслуживан...</td>\n",
       "      <td>[оказание, услуг, техническому, обслуживанию, ...</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>purch_9193548</td>\n",
       "      <td>Пюпитр ATHLETIC NP-3AL</td>\n",
       "      <td>Принадлежности для музыкальных инструментов пр...</td>\n",
       "      <td>99360.00</td>\n",
       "      <td>7716221444</td>\n",
       "      <td>Государственное бюджетное учреждение дополните...</td>\n",
       "      <td>Москва</td>\n",
       "      <td>2021-12-13 16:21:05.880</td>\n",
       "      <td>КС</td>\n",
       "      <td>пюпитр athletic np NUM al</td>\n",
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       "      <td>[пюпитр, athletic, np, NUM, al]</td>\n",
       "      <td>[пюпитр_NOUN, athletic_None, np_None, NUM_None...</td>\n",
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       "      <td>3</td>\n",
       "      <td>purch_9193549</td>\n",
       "      <td>РЕМОНТ ТЕКУЩИЙ АДМИНИСТРАТИВНЫХ ЗДАНИЙ</td>\n",
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       "      <td>271232.60</td>\n",
       "      <td>7718905471</td>\n",
       "      <td>Государственное бюджетное учреждение  города М...</td>\n",
       "      <td>Москва</td>\n",
       "      <td>2021-12-13 16:21:06.617</td>\n",
       "      <td>КС</td>\n",
       "      <td>ремонт текущий административных зданий</td>\n",
       "      <td>[ремонт, текущий, административных, зданий]</td>\n",
       "      <td>[ремонт, текущий, административных, зданий]</td>\n",
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       "      <td>purch_9193550</td>\n",
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       "      <td>purch_4065969</td>\n",
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       "      <td>Услуги спортивных объектов</td>\n",
       "      <td>21000.00</td>\n",
       "      <td>5047076614</td>\n",
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       "      <td>Московская</td>\n",
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       "      <td>оказание услуг по обеспечению дежурства медици...</td>\n",
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       "      <td>Книги, брошюры, листовки печатные прочие и под...</td>\n",
       "      <td>73712.00</td>\n",
       "      <td>5053052788</td>\n",
       "      <td>муниципальное учреждение «Центр культуры «Досуг»</td>\n",
       "      <td>Московская</td>\n",
       "      <td>2022-05-31 23:18:54.973</td>\n",
       "      <td>Потребность</td>\n",
       "      <td>оказание услуг типографии</td>\n",
       "      <td>[оказание, услуг, типографии]</td>\n",
       "      <td>[оказание, услуг, типографии]</td>\n",
       "      <td>[оказание_NOUN, услуга_NOUN, типография_NOUN]</td>\n",
       "      <td>[0.1113748128215472, -0.02062308695167303, -0....</td>\n",
       "    </tr>\n",
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       "      <th>1059561</th>\n",
       "      <td>1059561</td>\n",
       "      <td>purch_4065976</td>\n",
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       "      <td>17609.00</td>\n",
       "      <td>2364000890</td>\n",
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       "      <td>Краснодарский</td>\n",
       "      <td>2022-05-31 23:25:00.000</td>\n",
       "      <td>Потребность</td>\n",
       "      <td>поставка бытовой химии</td>\n",
       "      <td>[поставка, бытовой, химии]</td>\n",
       "      <td>[поставка, бытовой, химии]</td>\n",
       "      <td>[поставка_NOUN, бытовой_ADJF, химия_NOUN]</td>\n",
       "      <td>[-0.03846349256734053, -0.06419989466667175, -...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1059562</th>\n",
       "      <td>1059562</td>\n",
       "      <td>purch_4065980</td>\n",
       "      <td>Поставка напольного покрытия (линолеума и комп...</td>\n",
       "      <td>Клеи прочие;Профили фасонные пластмассовые;Лин...</td>\n",
       "      <td>28260.50</td>\n",
       "      <td>2127311000</td>\n",
       "      <td>МУНИЦИПАЛЬНОЕ БЮДЖЕТНОЕ ДОШКОЛЬНОЕ ОБРАЗОВАТЕЛ...</td>\n",
       "      <td>Чувашия</td>\n",
       "      <td>2022-05-31 23:42:44.000</td>\n",
       "      <td>Потребность</td>\n",
       "      <td>поставка напольного покрытия линолеума и компл...</td>\n",
       "      <td>[поставка, напольного, покрытия, линолеума, и,...</td>\n",
       "      <td>[поставка, напольного, покрытия, линолеума, ко...</td>\n",
       "      <td>[поставка_NOUN, напольный_ADJF, покрытие_NOUN,...</td>\n",
       "      <td>[0.02777171932393685, 0.024295580107718706, 0....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1059563</th>\n",
       "      <td>1059563</td>\n",
       "      <td>purch_9303620</td>\n",
       "      <td>Выполнение работ по текущему ремонту объекта в...</td>\n",
       "      <td>Ремонт текущий нежилых зданий, помещений и соо...</td>\n",
       "      <td>550206.44</td>\n",
       "      <td>7736132129</td>\n",
       "      <td>Государственное бюджетное общеобразовательное ...</td>\n",
       "      <td>Москва</td>\n",
       "      <td>2022-05-31 23:51:22.963</td>\n",
       "      <td>КС</td>\n",
       "      <td>выполнение работ по текущему ремонту объекта в...</td>\n",
       "      <td>[выполнение, работ, по, текущему, ремонту, объ...</td>\n",
       "      <td>[выполнение, работ, текущему, ремонту, объекта...</td>\n",
       "      <td>[выполнение_NOUN, работа_NOUN, текущий_ADJF, р...</td>\n",
       "      <td>[0.022519750387540886, -0.015656747312667512, ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1059564 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Unnamed: 0             id  \\\n",
       "0                 0  purch_3880086   \n",
       "1                 1  purch_3880087   \n",
       "2                 2  purch_9193548   \n",
       "3                 3  purch_9193549   \n",
       "4                 4  purch_9193550   \n",
       "...             ...            ...   \n",
       "1059559     1059559  purch_4065969   \n",
       "1059560     1059560  purch_4065977   \n",
       "1059561     1059561  purch_4065976   \n",
       "1059562     1059562  purch_4065980   \n",
       "1059563     1059563  purch_9303620   \n",
       "\n",
       "                                             purchase_name  \\\n",
       "0                                Дератизация и дезинсекция   \n",
       "1        Оказание услуг по техническому обслуживанию уз...   \n",
       "2                                   Пюпитр ATHLETIC NP-3AL   \n",
       "3                   РЕМОНТ ТЕКУЩИЙ АДМИНИСТРАТИВНЫХ ЗДАНИЙ   \n",
       "4        поставка Microsoft Windows Professional 10 «Wi...   \n",
       "...                                                    ...   \n",
       "1059559  Оказание услуг по обеспечению дежурства медици...   \n",
       "1059560                          Оказание услуг типографии   \n",
       "1059561                             Поставка бытовой химии   \n",
       "1059562  Поставка напольного покрытия (линолеума и комп...   \n",
       "1059563  Выполнение работ по текущему ремонту объекта в...   \n",
       "\n",
       "                                                  lot_name      price  \\\n",
       "0         Услуги по дезинфекции, дезинсекции и дератизации   32400.00   \n",
       "1        Услуги по техническому обслуживанию приборов у...   62400.00   \n",
       "2        Принадлежности для музыкальных инструментов пр...   99360.00   \n",
       "3               Текущий ремонт административных зданий....  271232.60   \n",
       "4                                                   ОКПД 2  158740.00   \n",
       "...                                                    ...        ...   \n",
       "1059559                         Услуги спортивных объектов   21000.00   \n",
       "1059560  Книги, брошюры, листовки печатные прочие и под...   73712.00   \n",
       "1059561  Пакеты для упаковки готовых изделий;Тряпки для...   17609.00   \n",
       "1059562  Клеи прочие;Профили фасонные пластмассовые;Лин...   28260.50   \n",
       "1059563  Ремонт текущий нежилых зданий, помещений и соо...  550206.44   \n",
       "\n",
       "         customer_inn                                      customer_name  \\\n",
       "0          7825010179  САНКТ-ПЕТЕРБУРГСКОЕ ГОСУДАРСТВЕННОЕ БЮДЖЕТНОЕ ...   \n",
       "1          7825699343  САНКТ-ПЕТЕРБУРГСКОЕ ГОСУДАРСТВЕННОЕ УНИТАРНОЕ ...   \n",
       "2          7716221444  Государственное бюджетное учреждение дополните...   \n",
       "3          7718905471  Государственное бюджетное учреждение  города М...   \n",
       "4          6027007117  Комитет по управлению государственным имуществ...   \n",
       "...               ...                                                ...   \n",
       "1059559    5047076614  ГОСУДАРСТВЕННОЕ АВТОНОМНОЕ УЧРЕЖДЕНИЕ МОСКОВСК...   \n",
       "1059560    5053052788   муниципальное учреждение «Центр культуры «Досуг»   \n",
       "1059561    2364000890  МУНИЦИПАЛЬНОЕ БЮДЖЕТНОЕ ДОШКОЛЬНОЕ ОБРАЗОВАТЕЛ...   \n",
       "1059562    2127311000  МУНИЦИПАЛЬНОЕ БЮДЖЕТНОЕ ДОШКОЛЬНОЕ ОБРАЗОВАТЕЛ...   \n",
       "1059563    7736132129  Государственное бюджетное общеобразовательное ...   \n",
       "\n",
       "         delivery_region             publish_date contract_category  \\\n",
       "0        Санкт-Петербург  2021-12-13 16:20:28.000       Потребность   \n",
       "1        Санкт-Петербург  2021-12-13 16:20:48.000       Потребность   \n",
       "2                 Москва  2021-12-13 16:21:05.880                КС   \n",
       "3                 Москва  2021-12-13 16:21:06.617                КС   \n",
       "4              Псковская  2021-12-13 16:21:21.337                КС   \n",
       "...                  ...                      ...               ...   \n",
       "1059559       Московская  2022-05-31 22:45:00.817       Потребность   \n",
       "1059560       Московская  2022-05-31 23:18:54.973       Потребность   \n",
       "1059561    Краснодарский  2022-05-31 23:25:00.000       Потребность   \n",
       "1059562          Чувашия  2022-05-31 23:42:44.000       Потребность   \n",
       "1059563           Москва  2022-05-31 23:51:22.963                КС   \n",
       "\n",
       "                                                clear_text  \\\n",
       "0                                дератизация и дезинсекция   \n",
       "1        оказание услуг по техническому обслуживанию уз...   \n",
       "2                                пюпитр athletic np NUM al   \n",
       "3                   ремонт текущий административных зданий   \n",
       "4        поставка microsoft windows professional NUM NU...   \n",
       "...                                                    ...   \n",
       "1059559  оказание услуг по обеспечению дежурства медици...   \n",
       "1059560                          оказание услуг типографии   \n",
       "1059561                             поставка бытовой химии   \n",
       "1059562  поставка напольного покрытия линолеума и компл...   \n",
       "1059563  выполнение работ по текущему ремонту объекта в...   \n",
       "\n",
       "                                                token_text  \\\n",
       "0                            [дератизация, и, дезинсекция]   \n",
       "1        [оказание, услуг, по, техническому, обслуживан...   \n",
       "2                          [пюпитр, athletic, np, NUM, al]   \n",
       "3              [ремонт, текущий, административных, зданий]   \n",
       "4        [поставка, microsoft, windows, professional, N...   \n",
       "...                                                    ...   \n",
       "1059559  [оказание, услуг, по, обеспечению, дежурства, ...   \n",
       "1059560                      [оказание, услуг, типографии]   \n",
       "1059561                         [поставка, бытовой, химии]   \n",
       "1059562  [поставка, напольного, покрытия, линолеума, и,...   \n",
       "1059563  [выполнение, работ, по, текущему, ремонту, объ...   \n",
       "\n",
       "                                            wout_stop_text  \\\n",
       "0                               [дератизация, дезинсекция]   \n",
       "1        [оказание, услуг, техническому, обслуживанию, ...   \n",
       "2                          [пюпитр, athletic, np, NUM, al]   \n",
       "3              [ремонт, текущий, административных, зданий]   \n",
       "4        [поставка, microsoft, windows, professional, N...   \n",
       "...                                                    ...   \n",
       "1059559  [оказание, услуг, обеспечению, дежурства, меди...   \n",
       "1059560                      [оказание, услуг, типографии]   \n",
       "1059561                         [поставка, бытовой, химии]   \n",
       "1059562  [поставка, напольного, покрытия, линолеума, ко...   \n",
       "1059563  [выполнение, работ, текущему, ремонту, объекта...   \n",
       "\n",
       "                                                 lemm_text  \\\n",
       "0                     [дератизация_NOUN, дезинсекция_NOUN]   \n",
       "1        [оказание_NOUN, услуга_NOUN, технический_ADJF,...   \n",
       "2        [пюпитр_NOUN, athletic_None, np_None, NUM_None...   \n",
       "3        [ремонт_NOUN, текущий_ADJF, административный_A...   \n",
       "4        [поставка_NOUN, microsoft_None, windows_None, ...   \n",
       "...                                                    ...   \n",
       "1059559  [оказание_NOUN, услуга_NOUN, обеспечение_NOUN,...   \n",
       "1059560      [оказание_NOUN, услуга_NOUN, типография_NOUN]   \n",
       "1059561          [поставка_NOUN, бытовой_ADJF, химия_NOUN]   \n",
       "1059562  [поставка_NOUN, напольный_ADJF, покрытие_NOUN,...   \n",
       "1059563  [выполнение_NOUN, работа_NOUN, текущий_ADJF, р...   \n",
       "\n",
       "                                                  name_vec  \n",
       "0        [0.057370200753211975, -0.07542315870523453, 0...  \n",
       "1        [0.05344873167632613, -0.02713588555343449, -0...  \n",
       "2        [-0.00864583533257246, 0.07133467495441437, 0....  \n",
       "3        [0.06589941494166851, 0.012117633828893304, -0...  \n",
       "4        [0.02369638718664646, -0.04907090216875076, 0....  \n",
       "...                                                    ...  \n",
       "1059559  [0.03170550190021887, -0.000984184128944488, -...  \n",
       "1059560  [0.1113748128215472, -0.02062308695167303, -0....  \n",
       "1059561  [-0.03846349256734053, -0.06419989466667175, -...  \n",
       "1059562  [0.02777171932393685, 0.024295580107718706, 0....  \n",
       "1059563  [0.022519750387540886, -0.015656747312667512, ...  \n",
       "\n",
       "[1059564 rows x 15 columns]"
      ]
     },
     "execution_count": 229,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pur"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 328,
   "id": "bffb9404",
   "metadata": {},
   "outputs": [],
   "source": [
    "test_vec = pur['name_vec'].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 329,
   "id": "3685392f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.35058183, 0.27481657, 0.40144212, 0.33022877, 0.27739767,\n",
       "       0.3454374 , 0.31927869, 0.30690063, 0.49719021, 0.29593317,\n",
       "       0.33018331, 0.31727816, 0.35017742, 0.38778565, 0.39010774,\n",
       "       0.32780679, 0.29193007, 0.37180591, 0.34751533, 0.41722802,\n",
       "       0.41775076, 0.36226745, 0.46323827, 0.42518581, 0.3711575 ,\n",
       "       0.3555513 , 0.37004474, 0.36431716, 0.35910739, 0.34952093,\n",
       "       0.31186895, 0.31537745, 0.25964157, 0.34108073, 0.31950156,\n",
       "       0.45350257, 0.3254618 , 0.51360193, 0.34686904, 0.44311215,\n",
       "       0.29038734, 0.31237814, 0.3660085 , 0.30638855, 0.44172716,\n",
       "       0.31141397, 0.3227874 , 0.43012369, 0.3348146 , 0.44018154,\n",
       "       0.39707602, 0.34767567, 0.35298724, 0.23893119, 0.25113886,\n",
       "       0.24367833, 0.3529953 , 0.24931449, 0.45522211, 0.36327461,\n",
       "       0.39524954, 0.3047064 , 0.26995815, 0.17463862, 0.35097259,\n",
       "       0.43418263, 0.35364228, 0.4804992 , 0.40428792, 0.48222269,\n",
       "       0.26980269, 0.31800297, 0.34526653])"
      ]
     },
     "execution_count": 329,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "word2vec_model.cosine_similarities(test_vec, theme_vec)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 330,
   "id": "525e15b8",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['изделие',\n",
       " 'плита',\n",
       " 'лист',\n",
       " 'керамический',\n",
       " 'аналогичный',\n",
       " 'полоса',\n",
       " 'пленка',\n",
       " 'прочий',\n",
       " 'лента',\n",
       " 'пластмассовый',\n",
       " 'ювелирный',\n",
       " 'материал',\n",
       " 'лента',\n",
       " 'плитка',\n",
       " 'подобный',\n",
       " 'сумка',\n",
       " 'дерево',\n",
       " 'бижутерия']"
      ]
     },
     "execution_count": 330,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[np.argmin(word2vec_model.cosine_similarities(test_vec, theme_vec)[1:])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "id": "87ad6e1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]])"
      ]
     },
     "execution_count": 211,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.array([[0] * 300])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "id": "8712511b",
   "metadata": {},
   "outputs": [],
   "source": [
    "theme_vec = np.array([[0] * 300])\n",
    "for arr in df_categories['name_vec'][1:]:\n",
    "    theme_vec = np.concatenate([theme_vec, arr[None]], axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "id": "a2a33422",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "              0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])                       ,\n",
       "       array([ 7.35256691e-02, -3.69848981e-02, -2.68471772e-02,  5.30489464e-03,\n",
       "              -2.98670037e-02,  4.25029919e-02,  1.50437336e-02,  5.38367890e-02,\n",
       "              -3.45311053e-02, -6.58203214e-02,  7.44860917e-02,  2.54072249e-04,\n",
       "              -3.17217358e-02, -6.87528159e-02,  8.75570588e-02,  4.28779423e-03,\n",
       "               4.02596355e-02, -1.18775611e-02, -3.67088543e-02, -1.55919301e-02,\n",
       "               3.57879195e-02, -9.34627466e-03, -7.17411023e-02,  1.72196047e-02,\n",
       "               3.96059235e-02,  7.04975100e-02,  1.87202916e-02, -1.04446225e-01,\n",
       "              -3.51437676e-03, -1.45168034e-02,  1.86665542e-02, -4.32815962e-03,\n",
       "               4.05490135e-02,  1.64913796e-02,  2.28695842e-02,  1.48960852e-02,\n",
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       "              -2.07838095e-02, -2.13815831e-04,  5.02289510e-02, -4.32643918e-02,\n",
       "              -4.04032799e-02,  3.73269748e-02,  2.24925904e-02,  4.78905551e-02,\n",
       "              -2.78265495e-02,  5.16386498e-02, -3.50231198e-02,  9.30516794e-03,\n",
       "              -2.58331844e-02, -3.20851421e-02, -2.76612258e-02,  6.64945133e-03,\n",
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       "              -1.00807291e-01,  5.88581525e-03,  5.18997535e-02, -8.37802887e-04,\n",
       "               5.96171785e-02, -4.98960521e-02, -3.06802629e-02,  4.50749123e-02,\n",
       "               6.81584775e-02, -1.10290506e-02, -1.00427386e-02,  3.86056064e-02,\n",
       "               1.88150214e-02, -3.13034095e-03,  8.49683210e-03,  6.17005662e-04,\n",
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       "              -4.22955453e-02, -7.51289176e-02, -3.57015235e-02, -3.47130634e-02,\n",
       "               1.83020518e-02, -3.11786383e-02, -8.64203200e-02, -2.72998962e-02,\n",
       "              -5.11775780e-02, -5.29721566e-02, -1.25827716e-03,  7.29211718e-02,\n",
       "               3.04094851e-02, -6.02814835e-03,  3.58676673e-02,  1.25086680e-03,\n",
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       "              -6.21036049e-02, -1.04010882e-01, -6.86569996e-02,  9.13748867e-03,\n",
       "               2.38562324e-02,  3.96987423e-04,  5.52596943e-02,  4.16724663e-02,\n",
       "               5.50937187e-02,  4.05093888e-02,  2.46902853e-02,  6.29911833e-02,\n",
       "              -5.38390502e-02, -5.39719923e-02, -4.05345224e-02,  6.83733588e-03,\n",
       "               1.80476035e-02,  2.42860829e-02,  7.67355151e-02,  6.89411238e-02,\n",
       "              -5.15792775e-03, -5.76572521e-02, -1.64613249e-02, -6.97375648e-02,\n",
       "              -3.92456655e-02,  3.67882387e-02, -4.59449410e-02,  5.52049596e-02,\n",
       "              -7.88107617e-02,  5.22543555e-02, -2.81036971e-02, -3.08200344e-03,\n",
       "              -1.46712381e-02,  3.06681863e-02, -1.39694016e-01, -1.48190241e-02,\n",
       "               1.77786264e-02,  1.20592117e-02, -4.43347599e-02,  1.17788026e-02,\n",
       "               1.58409262e-03,  4.41088071e-02, -3.19048236e-02,  1.51221499e-01,\n",
       "               2.94994488e-02, -3.10728005e-02, -1.32562794e-01,  4.86417129e-02,\n",
       "               6.22247532e-03,  3.45918003e-02, -7.40116984e-02,  1.36165425e-01,\n",
       "              -4.32495074e-02, -1.33703075e-02, -3.05674700e-02, -9.06883180e-03,\n",
       "               1.13422778e-02, -1.65308919e-02, -2.63295469e-02,  5.32674068e-03,\n",
       "              -2.29442678e-02, -7.44900946e-03, -1.21264383e-02, -3.58047481e-02,\n",
       "               8.02800059e-05,  2.45481604e-02, -5.22521343e-02,  2.27205893e-02,\n",
       "              -6.69226497e-02,  1.19845970e-02, -1.42184165e-02, -5.35302330e-02,\n",
       "               1.75389117e-02, -2.50012460e-02,  5.14071127e-02,  4.37560268e-02,\n",
       "              -2.42057317e-02, -1.89322378e-02,  2.70687193e-02, -3.72207714e-02,\n",
       "               3.37986220e-02,  8.97157602e-02,  4.82778326e-02,  2.93111615e-03,\n",
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       "              -5.71304718e-02,  4.92702106e-02, -1.04930624e-02,  5.08154053e-02,\n",
       "              -5.20304411e-02, -5.75203355e-02,  6.62111677e-03, -9.00793402e-03,\n",
       "               4.52978536e-02,  4.72402014e-03, -1.06967622e-02, -1.88792776e-02,\n",
       "               5.68624288e-02,  6.16614334e-03, -1.17305042e-02, -3.90359880e-02,\n",
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       "              -1.19399883e-01,  2.80782748e-02, -1.04973726e-02,  8.19655918e-02,\n",
       "              -5.92991970e-02,  5.14027360e-03,  7.81273264e-02, -2.44691782e-02,\n",
       "               9.73896310e-03,  9.13537731e-02, -8.86728857e-02,  6.16881326e-02,\n",
       "              -2.64677349e-02, -5.40502369e-03,  1.66664608e-02,  7.91736529e-05,\n",
       "               6.25490472e-02,  1.06638525e-01,  1.56608550e-02, -3.84407095e-03,\n",
       "               1.95123837e-02,  4.07341216e-03,  1.85103640e-02, -1.79285267e-02,\n",
       "              -3.32581131e-02,  4.89203259e-02, -8.78317365e-02, -7.72667211e-02,\n",
       "               5.76511063e-02,  7.83100259e-05, -1.15597706e-01, -1.01730954e-01,\n",
       "               2.16369275e-02, -5.89370541e-03,  6.31819014e-04,  3.93127296e-02,\n",
       "              -1.33244302e-01,  1.32975478e-01,  6.61041252e-02, -3.70518751e-02,\n",
       "               7.81391747e-04, -1.20399068e-02,  1.33772325e-02,  9.12935799e-03,\n",
       "              -4.55919905e-02, -3.19562415e-02,  1.33965402e-02, -8.51624738e-02,\n",
       "               2.66427761e-02, -2.73274602e-02, -5.30554727e-02,  1.87100545e-02,\n",
       "              -5.81831690e-02,  3.26507422e-02, -4.65875547e-02, -4.72702123e-02,\n",
       "              -1.98985997e-02, -7.95656443e-03,  1.50830670e-02,  2.24735476e-02,\n",
       "               1.03558013e-01, -3.61802452e-02,  2.25437391e-02, -4.33065521e-03,\n",
       "               4.92053106e-02, -2.21337927e-02, -1.08561438e-01, -1.05633330e-01,\n",
       "              -1.49713312e-02,  2.24446394e-02,  4.44131345e-03,  3.41369279e-02,\n",
       "              -6.81323353e-02,  9.91970301e-04, -1.69144375e-02, -4.15129997e-02,\n",
       "              -1.96432481e-02, -5.42861130e-03,  4.10759067e-02,  4.08443045e-02,\n",
       "              -7.27041974e-03, -1.79681046e-02,  4.30748360e-02,  4.54306379e-02,\n",
       "              -3.22384685e-02, -2.27164011e-03,  7.33694155e-03, -2.47077453e-02,\n",
       "              -4.70910053e-03, -8.29739347e-02, -1.07424036e-01, -2.32883636e-03]),\n",
       "       array([ 0.03580285, -0.07007122,  0.00997994,  0.03666902, -0.02673542,\n",
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       "               0.08569855, -0.01416926, -0.04948012, -0.07682276,  0.06320258,\n",
       "              -0.0352967 ,  0.0960862 ,  0.02838581, -0.00447579, -0.02989347,\n",
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       "               0.00143236,  0.05053671,  0.02863231,  0.01261806,  0.00535981,\n",
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       "              -0.14041424,  0.02580487, -0.02139073,  0.05473439,  0.07914711,\n",
       "              -0.01055337, -0.03879767,  0.07663176,  0.0438796 ,  0.00964658,\n",
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       "              -0.00326451,  0.05126055,  0.03132639,  0.0060259 , -0.01128744,\n",
       "               0.0608964 ,  0.04923982, -0.03009512,  0.09877461, -0.00811368,\n",
       "              -0.0018329 , -0.10761968,  0.04020827,  0.03803112,  0.02852357,\n",
       "              -0.04027396,  0.09502728, -0.03113015,  0.0307533 , -0.03469337,\n",
       "               0.02058543,  0.03635357,  0.02150305,  0.08168732,  0.01311879,\n",
       "               0.00281477,  0.05552712, -0.03779043,  0.04130738,  0.01237709,\n",
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       "               0.01180245, -0.03071644, -0.01834355,  0.00757272,  0.08089278,\n",
       "               0.04098882,  0.1507963 , -0.01157611,  0.01157091, -0.03163076,\n",
       "              -0.03586504,  0.05974541,  0.01807231, -0.03392364, -0.02847777,\n",
       "               0.0195788 , -0.03331943,  0.06101224, -0.02632391, -0.05566502,\n",
       "              -0.03032645,  0.03898222, -0.0442761 , -0.10152033, -0.06100646,\n",
       "               0.08507119,  0.01736775,  0.00600109, -0.00518576, -0.00535973,\n",
       "               0.03311706, -0.01580867, -0.01455485, -0.03813186,  0.01896537,\n",
       "               0.04123421, -0.06031052, -0.06724046, -0.08592141,  0.06739567,\n",
       "              -0.03588363,  0.03751271, -0.03502638,  0.02437658,  0.04571821,\n",
       "               0.017637  , -0.03455379,  0.03179971, -0.01171958,  0.06991326,\n",
       "               0.0152789 ,  0.06351877,  0.05052585, -0.0125412 ,  0.0430676 ,\n",
       "               0.08628903,  0.03336383,  0.01070356, -0.00616434,  0.04754799,\n",
       "              -0.04096461,  0.02536091, -0.05917644,  0.05105139, -0.07671602,\n",
       "               0.0174812 ,  0.03828727,  0.03530002, -0.09169308, -0.11762208,\n",
       "               0.02453131,  0.05866556, -0.06391722,  0.04570698,  0.0061002 ,\n",
       "               0.15726121, -0.02249006, -0.03403224,  0.07013483,  0.00305594,\n",
       "              -0.0502059 , -0.05459091, -0.04087072,  0.05440223,  0.04216655,\n",
       "              -0.08636945, -0.00604531,  0.02324858, -0.10296184, -0.00595279,\n",
       "              -0.00142109,  0.04542672, -0.03887043,  0.02843892, -0.05399585,\n",
       "              -0.00989917, -0.06932719,  0.04441837,  0.0547074 ,  0.03501112,\n",
       "               0.01280085,  0.04760229,  0.0602409 , -0.00770531, -0.03057006,\n",
       "              -0.04425749,  0.11010132,  0.06776297,  0.11482475,  0.04276528,\n",
       "              -0.07394612,  0.01019033,  0.06445984, -0.00515734,  0.01660194,\n",
       "              -0.06217781,  0.03115365,  0.07901635,  0.04961831, -0.02350466,\n",
       "               0.0255964 ,  0.05173151, -0.04166417, -0.04346328, -0.04654245,\n",
       "               0.0341976 ,  0.07191832, -0.05220333, -0.05949491, -0.00380698]),\n",
       "       array([ 3.76446980e-02,  3.70164439e-02, -9.25974051e-02, -3.99777293e-03,\n",
       "              -3.44495767e-02, -1.17236953e-02, -3.63403472e-02,  3.28899703e-02,\n",
       "              -1.14883091e-02,  1.47719393e-02,  3.14156301e-02,  6.41988614e-03,\n",
       "              -3.49018074e-02, -7.87034112e-02,  2.92545600e-02, -2.73187635e-02,\n",
       "               1.07830074e-01,  1.12704885e-02,  5.54297206e-02, -3.18431738e-03,\n",
       "               4.65367349e-02,  1.26577939e-02, -3.85927210e-02, -3.55930316e-03,\n",
       "              -8.67239200e-04,  9.34451260e-03,  5.04923848e-02, -5.68253553e-02,\n",
       "               2.97729050e-02,  5.00819062e-02,  2.18482849e-02,  3.61591472e-02,\n",
       "               7.80752177e-03, -1.83278432e-02,  8.59087209e-02,  3.89830729e-02,\n",
       "               1.02743475e-03,  7.05937811e-02, -3.33521649e-02,  1.64302293e-02,\n",
       "              -1.72114422e-02,  2.52113181e-03, -7.82222464e-03,  4.60059730e-02,\n",
       "              -2.23220016e-04,  1.32628371e-02,  6.03797461e-02,  3.84237847e-02,\n",
       "              -1.57017491e-02,  3.19290546e-02, -1.63726794e-02, -2.25816655e-02,\n",
       "              -5.08004691e-02,  4.40711312e-02,  2.22287485e-02, -6.28359107e-02,\n",
       "              -3.76929051e-02, -6.20704591e-02,  1.41485603e-02,  5.97281269e-03,\n",
       "              -6.86316726e-02, -2.95470761e-02,  9.88907646e-03, -5.26392957e-03,\n",
       "               7.56823470e-02,  1.59191679e-02, -1.85334198e-02,  2.32699054e-02,\n",
       "              -1.97476908e-02,  5.32200076e-02, -6.04910031e-02,  4.04441497e-02,\n",
       "               2.49942656e-02,  2.51856937e-02, -1.91002268e-02,  6.58240054e-02,\n",
       "              -8.81453753e-02, -2.93577655e-02,  5.25728050e-02, -5.17692373e-02,\n",
       "              -3.78012968e-02,  1.13318834e-02, -8.44944815e-02, -2.48759650e-02,\n",
       "              -1.02578923e-02, -1.49666797e-04, -3.81541488e-02, -3.92402777e-02,\n",
       "               2.40405928e-02, -6.74751177e-02,  3.20095258e-02,  4.42970999e-02,\n",
       "              -6.71003715e-02, -5.84606291e-02,  5.87729265e-02, -6.66990131e-02,\n",
       "              -1.57637939e-02,  1.01958498e-02, -7.63318750e-03, -4.17343186e-03,\n",
       "              -1.08918113e-02, -3.00411998e-02, -4.02093555e-02, -2.28151381e-02,\n",
       "               5.43443628e-02,  2.11456530e-02,  3.28083228e-02, -1.02247046e-02,\n",
       "               2.81580786e-02,  7.96521657e-03,  2.95329609e-02,  4.60285502e-02,\n",
       "              -7.03119872e-02, -3.24062941e-02, -4.68065279e-02,  8.53926092e-02,\n",
       "              -1.87665643e-02, -3.03097554e-02,  4.90038209e-02,  3.74557612e-02,\n",
       "               6.21374032e-02, -3.58294627e-02, -6.28790508e-04, -1.19099207e-02,\n",
       "              -5.83139099e-02, -4.95138206e-03, -8.09631832e-02,  2.77202545e-02,\n",
       "               3.83254625e-02,  3.92599180e-02, -3.81707822e-02, -6.51683037e-03,\n",
       "               1.32651894e-02,  3.43243275e-02, -4.63913642e-02,  2.86237597e-02,\n",
       "              -1.15783528e-02, -6.18081751e-02, -2.47000457e-02, -4.26246052e-02,\n",
       "               5.63190679e-02, -1.49947343e-03, -2.41148534e-03,  8.43824570e-02,\n",
       "               6.02519903e-02,  5.65904652e-02, -1.24393666e-02,  5.21458788e-02,\n",
       "               1.79072634e-02,  5.23494619e-03, -9.80918308e-02,  1.34256328e-01,\n",
       "              -2.89919097e-02, -1.00065521e-02, -5.94050537e-02, -2.14832500e-02,\n",
       "               2.27283504e-02,  5.30636745e-03,  5.07585543e-02,  4.52178732e-02,\n",
       "               8.75546349e-03,  3.38921944e-03, -7.81686592e-02,  6.37371171e-05,\n",
       "              -7.22953118e-02,  1.46833497e-02, -5.08125251e-03,  2.50763812e-02,\n",
       "               1.55278947e-02,  2.46115966e-02,  2.62357257e-02, -2.55999056e-02,\n",
       "               2.39612622e-02, -2.69245282e-02,  4.48529242e-02,  8.11588454e-03,\n",
       "               6.06017920e-02,  3.86423642e-02, -3.61732468e-02, -5.42778596e-02,\n",
       "               4.17212748e-02,  8.94893693e-02, -2.66424892e-02, -2.16905586e-02,\n",
       "              -1.00170989e-02, -4.08578391e-02, -2.10353078e-02,  3.52598654e-02,\n",
       "              -7.08979281e-02,  6.21174835e-03, -3.26177381e-02,  3.90978058e-02,\n",
       "              -7.79177782e-02, -2.97058032e-03,  2.50561070e-03, -2.60142268e-02,\n",
       "               3.39431949e-02, -1.41412249e-02,  1.04200264e-02, -1.55456675e-02,\n",
       "               9.50093808e-03,  2.55422990e-02,  1.27915147e-02, -1.71585067e-02,\n",
       "              -4.24482441e-02,  8.73350849e-03, -7.56966714e-02,  9.78503714e-03,\n",
       "              -7.77182976e-02,  3.72613231e-02, -3.53371724e-02,  7.67395087e-02,\n",
       "              -6.33161167e-02,  2.11070074e-02,  6.72541820e-02,  2.46519881e-02,\n",
       "              -2.63696599e-02,  8.49345792e-03,  2.97178794e-03, -2.23572618e-02,\n",
       "               1.87827779e-02, -7.54759274e-03,  6.09102721e-02,  8.05066153e-03,\n",
       "              -6.70269926e-02,  9.12001741e-02, -3.17362882e-03, -1.16891771e-02,\n",
       "              -1.60561875e-03, -1.48081509e-02,  6.46491461e-02,  7.00397976e-02,\n",
       "               4.95406489e-03, -1.88602818e-02, -4.66919305e-02,  3.05671090e-03,\n",
       "              -1.89087769e-02, -6.75947580e-03, -1.10057744e-01, -7.03490836e-02,\n",
       "               7.22418850e-04, -3.21115597e-02, -3.32596898e-02,  1.40426137e-03,\n",
       "              -4.63140712e-02,  2.28581481e-02, -3.58953550e-02,  7.74772217e-04,\n",
       "              -1.06368971e-02,  3.27847643e-02,  1.12168690e-02, -6.56961898e-02,\n",
       "               2.49213912e-03, -3.98163271e-02,  4.46915263e-02, -4.44656052e-02,\n",
       "              -9.19223701e-03,  1.17989619e-02,  1.65789934e-02,  4.01289103e-02,\n",
       "              -9.40383744e-02,  4.27062159e-02, -1.07872022e-01,  4.57269216e-02,\n",
       "              -4.91699080e-02,  1.30267814e-02, -2.71421199e-02, -2.40478230e-02,\n",
       "              -1.29004226e-03,  1.37298436e-02, -3.10379198e-02, -1.78129535e-02,\n",
       "               1.39926796e-02, -1.69405645e-02, -2.86594021e-02, -2.30600356e-02,\n",
       "              -2.85542896e-02,  1.49563067e-02,  3.83751003e-02,  8.39849102e-02,\n",
       "              -1.96425915e-02,  8.68927439e-03, -3.03019645e-02, -6.72046778e-03,\n",
       "              -4.40148624e-02,  1.68098267e-02,  5.32380715e-02,  4.12371342e-02,\n",
       "               2.68125931e-02,  1.43352640e-02, -1.61084657e-03,  2.80278185e-02,\n",
       "              -3.45311237e-02, -8.65632668e-03, -1.53744062e-02, -2.73476066e-02,\n",
       "               1.45549113e-02, -5.99106258e-02, -2.38020003e-02,  4.79690495e-02]),\n",
       "       array([ 7.20288865e-02, -2.12976762e-02, -7.60230621e-02,  1.27257059e-02,\n",
       "              -1.65821609e-02,  4.27920672e-02,  2.26789465e-03,  2.47854243e-02,\n",
       "              -5.36764413e-03, -3.19868637e-02,  4.14848266e-02,  5.89114924e-04,\n",
       "              -1.00956025e-01, -6.95425409e-02,  4.80815607e-02,  4.31419293e-02,\n",
       "               3.41326399e-02, -2.05073869e-02,  5.39240054e-02,  1.70217155e-02,\n",
       "               7.76558866e-03, -2.16275745e-02, -7.45585673e-02, -1.20243665e-02,\n",
       "               4.97189271e-02,  3.79404513e-02, -6.77127391e-05, -5.25990664e-02,\n",
       "              -5.57127521e-03, -1.65181484e-02,  4.28741998e-02, -8.45275757e-03,\n",
       "              -1.99234625e-03, -2.98295605e-03,  3.48513840e-02,  8.47349254e-03,\n",
       "               5.91089701e-03,  3.64300137e-02, -1.12804429e-03, -3.67222652e-02,\n",
       "              -2.76803756e-02,  1.77164345e-03,  3.20976411e-02, -5.42009774e-02,\n",
       "              -2.32033733e-02,  3.30323316e-02,  3.81090557e-02,  5.41141257e-02,\n",
       "              -2.74767714e-02,  2.31428050e-02,  2.54237345e-03,  3.26049508e-02,\n",
       "              -2.96483776e-02, -1.10206300e-02,  3.07822401e-02, -4.57071903e-02,\n",
       "              -5.27756196e-02, -4.53427397e-02,  3.78178868e-02, -3.20714985e-02,\n",
       "              -7.17357583e-02,  5.09756726e-02,  1.21933762e-02,  3.05557828e-02,\n",
       "               5.58598799e-02, -4.84485899e-02, -3.49778906e-02, -1.66083351e-02,\n",
       "               1.97332517e-02,  3.22616498e-02, -2.12282717e-02, -1.21215933e-02,\n",
       "               3.88892666e-02, -6.27784096e-02,  8.84274409e-03, -5.37844883e-03,\n",
       "              -9.55473781e-02, -6.91797483e-02, -4.37998568e-02, -3.12780833e-02,\n",
       "              -2.37415265e-03, -4.83227506e-04, -8.38241975e-02, -2.06486359e-02,\n",
       "               3.01614078e-02, -8.28065265e-02, -1.08478303e-01, -3.98996010e-02,\n",
       "               3.47019321e-03, -8.77164888e-02,  9.68774354e-04,  8.78238454e-02,\n",
       "              -1.19309177e-02, -7.06279688e-02,  7.50447648e-02, -4.46020843e-02,\n",
       "               4.06402076e-02,  4.72422655e-02,  7.45219955e-03,  2.14626330e-02,\n",
       "              -5.27512252e-02, -7.06812938e-02, -1.76835135e-02,  6.63295388e-03,\n",
       "               2.88317009e-02, -2.46585924e-02,  5.31825641e-02, -3.31758248e-02,\n",
       "               6.39265378e-02, -2.25049211e-03,  3.10097138e-02,  2.54340221e-02,\n",
       "              -8.80683810e-02, -8.73778303e-03, -5.31284250e-02,  5.85261015e-02,\n",
       "              -1.70442690e-02,  6.03040944e-03,  1.07083720e-01,  8.37747976e-02,\n",
       "              -1.89461544e-03, -7.48454848e-02, -2.89419349e-02, -6.33210316e-03,\n",
       "              -5.92033469e-02, -1.20951630e-02, -4.40309288e-02, -1.41105006e-02,\n",
       "              -5.07978269e-02,  3.41597032e-02, -5.76413174e-02,  1.12516410e-02,\n",
       "               6.43069732e-03,  1.98000539e-02, -3.10609424e-02,  2.05609317e-02,\n",
       "               3.05182356e-02,  1.49444646e-03, -5.05029528e-02, -7.57055233e-03,\n",
       "               2.39928269e-03,  2.16533368e-02, -5.36088732e-02,  6.64810558e-02,\n",
       "               3.95141741e-02,  2.13100649e-02, -6.55197433e-02, -9.21752273e-03,\n",
       "              -3.14790787e-02,  2.99156563e-02, -2.89386025e-02,  9.04342905e-02,\n",
       "              -7.44930220e-02, -7.85212366e-03, -6.85539857e-03, -1.86558856e-02,\n",
       "               2.54833773e-02, -3.86477696e-02,  3.73138330e-02,  2.53805684e-02,\n",
       "              -3.39207351e-02, -2.43973540e-02,  1.15549055e-02, -6.34622695e-02,\n",
       "               2.94394015e-02,  8.84435760e-03, -7.76982245e-02,  3.98034925e-02,\n",
       "              -4.37749879e-02,  1.58205554e-02,  2.02356543e-02, -5.50338291e-02,\n",
       "               3.39197262e-02, -3.99737322e-02,  8.64439160e-02,  4.99495243e-02,\n",
       "               3.46459312e-02, -2.98988912e-02,  4.68934067e-02, -2.54914754e-03,\n",
       "              -5.89672315e-02,  4.54188399e-02,  4.81355116e-02, -4.04868399e-02,\n",
       "               1.22028314e-02, -3.04859933e-02, -5.04685951e-02, -1.53858120e-02,\n",
       "              -3.59220696e-02,  1.00507955e-01, -3.66547083e-03,  2.61353726e-02,\n",
       "              -4.96132018e-02, -1.14738010e-02,  4.16741396e-02, -1.35716007e-02,\n",
       "               2.76753589e-02,  3.41813496e-02, -2.66911617e-02, -2.04486400e-02,\n",
       "               5.17173391e-02, -1.23439754e-02, -1.60834426e-02,  1.13771989e-02,\n",
       "               2.63496091e-02,  4.52675171e-02, -5.65810241e-02, -4.76513157e-02,\n",
       "              -8.20803617e-02,  2.98179587e-02, -2.54598434e-02,  6.89239874e-02,\n",
       "              -7.20519250e-02, -3.59129316e-04,  5.95275102e-02, -1.42412305e-02,\n",
       "              -3.94951602e-02,  4.55030649e-02, -8.36861879e-02,  3.20505362e-02,\n",
       "               1.69826349e-02,  4.95004840e-03,  6.26313488e-02, -1.04976276e-02,\n",
       "               1.96697923e-02,  4.44498975e-02,  6.96199822e-03, -3.09005474e-02,\n",
       "              -4.08561776e-03, -3.66140027e-02, -1.29036659e-02,  1.08384782e-02,\n",
       "              -2.26804931e-02,  4.05279702e-02, -1.13577047e-01, -6.33909889e-02,\n",
       "               1.88549353e-02,  3.98034959e-03, -9.37769860e-02, -6.43574260e-02,\n",
       "               1.47589868e-02, -3.12544505e-02, -3.48505260e-02,  5.64644150e-02,\n",
       "              -6.46306338e-02,  8.06639033e-02,  2.02827317e-02, -9.48293135e-04,\n",
       "               3.19253591e-03,  1.76836097e-02,  7.49381399e-03, -4.57484104e-02,\n",
       "              -5.90175372e-02,  1.41465602e-03,  3.85696189e-02, -8.94449949e-02,\n",
       "               4.76767123e-02, -6.04439154e-03, -1.76167861e-03, -1.21009977e-02,\n",
       "              -4.54069258e-02,  3.89971274e-02, -8.76169850e-02,  2.45089084e-02,\n",
       "              -5.99670857e-02,  2.77742824e-02, -1.64552212e-02,  8.13928371e-03,\n",
       "               3.74699635e-02, -3.98304046e-02, -2.78475049e-02,  1.13410049e-02,\n",
       "               1.18444463e-02, -4.18841196e-02, -8.65966330e-02, -7.56916584e-02,\n",
       "               1.79355008e-02,  5.23505546e-03,  2.69150517e-02,  7.08554859e-02,\n",
       "              -4.62504085e-02, -6.75725875e-02, -2.58183566e-02, -1.38260300e-03,\n",
       "               1.57663583e-03,  3.33659112e-02, -3.17892370e-03,  1.23893631e-02,\n",
       "               6.71395116e-03, -1.06619096e-02,  5.58433967e-02,  3.89287658e-02,\n",
       "              -3.37735648e-02, -1.67351806e-02, -7.00943607e-03, -5.85065633e-02,\n",
       "               9.52649644e-03, -6.41379083e-02, -9.96612310e-02, -1.48835316e-02]),\n",
       "       array([ 3.61685281e-02, -4.48310797e-02,  2.65022082e-02,  4.81996300e-02,\n",
       "               1.48529505e-03,  7.47254413e-03,  2.49428457e-02,  3.86616628e-02,\n",
       "              -3.22955443e-02, -6.76357411e-02,  5.91856800e-02,  6.19321219e-03,\n",
       "              -1.38967133e-02, -7.29025863e-02,  6.87461654e-02,  1.83044734e-02,\n",
       "               5.80843060e-02,  9.45769871e-03,  5.01551859e-04, -1.16060162e-02,\n",
       "              -5.17853807e-03, -1.62519148e-02, -1.20177244e-03, -5.70788607e-03,\n",
       "               4.94543463e-02,  4.19342636e-02, -1.97601182e-02, -4.55706536e-02,\n",
       "              -3.66201842e-03,  1.62739990e-02, -2.27823386e-02,  1.70189366e-02,\n",
       "               3.65778735e-02, -2.52394558e-02,  6.58012591e-02,  1.38510683e-02,\n",
       "               2.12283696e-03,  1.00596305e-01, -1.96767632e-02,  2.07871447e-02,\n",
       "              -3.95706700e-03, -4.00089485e-02, -9.24412937e-04, -5.79286752e-02,\n",
       "              -7.10526978e-02, -2.25066797e-02,  5.22445254e-02,  2.40641094e-02,\n",
       "               9.09188141e-06,  3.59926311e-03, -4.84935840e-02, -4.23266639e-02,\n",
       "              -3.42530919e-02,  3.68987548e-02, -6.24570623e-03, -6.74816469e-04,\n",
       "              -6.31628173e-02, -5.37891195e-02, -1.73165519e-02,  4.73905603e-02,\n",
       "              -1.06534583e-01,  2.37226679e-02, -8.74455444e-03,  5.72668227e-02,\n",
       "               5.32597622e-02, -2.98561533e-02, -2.92519586e-02,  6.67869144e-02,\n",
       "               1.64691272e-02,  6.28244147e-03, -1.55077775e-02, -1.84341464e-02,\n",
       "               1.17898683e-02,  1.81663210e-03,  6.12011924e-03,  4.28468374e-02,\n",
       "              -7.82825535e-02, -2.66722487e-02,  8.70929696e-02, -4.71317458e-02,\n",
       "              -5.00210127e-02, -1.04662156e-02, -4.60852251e-02,  2.60985407e-02,\n",
       "              -2.41221938e-02, -3.17161034e-02, -9.91670241e-02, -3.31932930e-02,\n",
       "              -5.77872234e-02, -8.18823675e-02,  2.15201542e-02,  1.16901398e-01,\n",
       "              -4.76607624e-02, -2.97829993e-02,  3.22103699e-02, -2.68718670e-02,\n",
       "               4.10345973e-02,  4.45775582e-02,  1.20814203e-03,  1.70613509e-02,\n",
       "              -3.29212596e-02, -5.40940445e-02, -5.70448252e-02, -7.09043816e-02,\n",
       "              -3.86574765e-02, -7.38284340e-02,  5.30365296e-02, -3.00037387e-02,\n",
       "               7.83803947e-02,  5.77484866e-02,  3.50677197e-02, -2.96407035e-02,\n",
       "              -3.39369656e-02, -1.09710107e-02, -4.00498752e-02,  1.24883372e-05,\n",
       "              -8.89499535e-02,  2.25873783e-02, -9.45226600e-04,  3.82191607e-02,\n",
       "               3.20008490e-02, -7.05393429e-02, -3.24723665e-02, -3.28228196e-02,\n",
       "              -4.34038079e-02,  5.89099222e-02, -4.87325403e-03, -9.86052118e-03,\n",
       "              -3.32203743e-02,  2.79093004e-02, -4.90703757e-02,  4.52116091e-02,\n",
       "              -1.53660371e-02,  2.58728216e-02, -3.83224649e-03, -3.43522169e-02,\n",
       "               4.28138604e-02,  2.96475009e-02,  2.45903569e-02, -1.06730868e-02,\n",
       "               4.98739192e-02,  3.92276855e-02, -6.22484597e-02,  1.25943825e-01,\n",
       "               1.54945546e-02, -6.66582860e-03, -1.03736353e-01,  5.15439638e-02,\n",
       "               2.04473848e-02,  2.68531342e-04, -4.93482013e-02,  1.14620490e-01,\n",
       "              -3.24484090e-02,  1.59800348e-03,  1.55550844e-02, -8.52278061e-03,\n",
       "               2.92242176e-02, -1.75236526e-02,  6.27396132e-02,  2.52471988e-02,\n",
       "              -1.74369138e-02,  2.25448612e-02, -4.74285930e-02,  1.09142891e-02,\n",
       "               2.98221409e-03, -3.67300014e-02,  1.48214690e-02,  4.63902267e-02,\n",
       "               1.55508171e-02,  1.47779174e-02,  1.13236755e-02, -6.29793828e-02,\n",
       "              -1.44829042e-02,  6.49614011e-03,  8.81279993e-02,  8.63227944e-02,\n",
       "               1.65756223e-01,  4.28446367e-03,  4.06684050e-02, -4.74072505e-02,\n",
       "              -4.68567697e-02,  6.61815647e-02,  9.87447177e-03, -5.22792474e-02,\n",
       "              -5.67909454e-02, -6.16562894e-03, -4.89757865e-02,  4.67467904e-02,\n",
       "              -5.29708999e-02, -4.49943046e-04,  5.13139678e-03,  5.70213565e-02,\n",
       "              -5.10776949e-02, -7.67557311e-02, -1.93477894e-02,  7.56222331e-02,\n",
       "               3.04273333e-02,  3.19232369e-02,  1.89416893e-02,  1.50452899e-02,\n",
       "               5.52662245e-03, -9.79140494e-03, -3.00837376e-02, -3.77441446e-03,\n",
       "               4.85308841e-03,  3.59230985e-03, -4.23583078e-02, -4.58982357e-02,\n",
       "              -8.13852834e-02,  6.50289282e-02, -3.12115698e-02,  1.24241252e-02,\n",
       "              -6.37086835e-02,  1.31557075e-03,  5.14325493e-02,  1.41230191e-02,\n",
       "              -5.30102104e-03, -8.82767762e-04, -1.27077758e-02,  4.96519225e-02,\n",
       "               2.21553601e-02,  6.45991787e-02,  5.05139218e-02, -3.17319349e-02,\n",
       "               5.49397369e-02,  5.81368071e-02,  1.43875411e-02, -8.16214527e-03,\n",
       "              -1.38056168e-02, -3.56560418e-03, -4.16522719e-02, -1.42858316e-02,\n",
       "              -7.18036170e-02,  1.32128646e-02, -4.95000407e-02,  1.49908760e-02,\n",
       "               4.74765102e-02,  2.92632158e-02, -7.27201179e-02, -9.66333567e-02,\n",
       "               9.34539611e-03,  3.79238774e-02, -7.97937748e-02,  6.28539945e-02,\n",
       "              -1.91683018e-02,  1.09231835e-01,  3.26469789e-03, -6.19339501e-02,\n",
       "               2.61910198e-02, -1.69788275e-02, -4.11788213e-02, -1.92939957e-02,\n",
       "              -4.73012682e-02,  2.69140744e-02,  1.75973400e-02, -6.99492594e-02,\n",
       "               8.01228918e-03,  1.78338550e-02, -7.65156411e-02, -7.41456635e-04,\n",
       "              -3.89273191e-02,  9.37411437e-03, -4.78401085e-02,  3.46553127e-02,\n",
       "              -2.16719992e-02, -1.56478217e-02, -4.28556440e-02,  2.40301912e-02,\n",
       "               2.81400966e-02,  3.32807538e-02, -4.55890829e-03,  5.96055140e-02,\n",
       "               5.88302966e-02,  2.42902916e-02, -4.21277511e-02, -5.33809227e-02,\n",
       "               6.76977672e-02,  3.50846859e-02,  4.75976020e-02,  3.80122270e-02,\n",
       "              -6.49020858e-02,  1.26464862e-02,  4.80235893e-02,  1.20077515e-04,\n",
       "               1.23095252e-02, -2.90214416e-02,  1.09073063e-02,  2.55681717e-02,\n",
       "               3.66439611e-02, -3.65510223e-02,  2.33818945e-02,  5.85337058e-02,\n",
       "              -3.38124350e-02, -7.74546464e-03, -3.55241882e-03, -4.49853670e-03,\n",
       "               2.70438905e-02, -5.56918755e-02, -5.19866186e-02, -4.75932720e-02]),\n",
       "       array([ 0.01340663, -0.08682251, -0.01684449,  0.03422906, -0.01199713,\n",
       "               0.02558502,  0.00300793,  0.00081709, -0.03532113, -0.08537371,\n",
       "               0.09291008, -0.02308167, -0.0577398 , -0.08599321,  0.0532103 ,\n",
       "              -0.03167291,  0.09816083,  0.0059376 ,  0.01584903, -0.012075  ,\n",
       "               0.01387668, -0.02016219,  0.0090224 , -0.05501208,  0.01650932,\n",
       "               0.02492397, -0.01227376, -0.03325431, -0.01409215,  0.04210648,\n",
       "              -0.05191333,  0.01423971,  0.00842221, -0.06007324,  0.05778916,\n",
       "               0.00183484,  0.00532734,  0.05558835, -0.0022628 ,  0.0301603 ,\n",
       "              -0.0057354 , -0.01013895,  0.03028847, -0.04976268, -0.11446266,\n",
       "               0.0099545 ,  0.03114816, -0.00842699,  0.00900009,  0.01304248,\n",
       "              -0.05908551, -0.06982363,  0.0250279 ,  0.04531699, -0.01599129,\n",
       "              -0.03588561, -0.02721214, -0.0191678 , -0.06476676,  0.02624772,\n",
       "              -0.12193377,  0.03176822, -0.0092214 ,  0.08565652,  0.0837929 ,\n",
       "              -0.01160307, -0.03483321,  0.075833  ,  0.03622208,  0.01315125,\n",
       "               0.00540769, -0.06230747,  0.00128749,  0.00770988, -0.04401006,\n",
       "               0.0297389 , -0.06625882, -0.01386823,  0.10660172, -0.04221474,\n",
       "              -0.04639841, -0.00685075, -0.01016513,  0.04226511,  0.02951693,\n",
       "              -0.0936437 , -0.09828437, -0.04110272, -0.05675663, -0.08600324,\n",
       "               0.02275768,  0.10174672, -0.07439254, -0.03252603,  0.03391865,\n",
       "               0.03196013,  0.05389567,  0.05983451, -0.03173785,  0.02840221,\n",
       "              -0.0299795 , -0.08585058, -0.04079558, -0.04035097, -0.02958261,\n",
       "              -0.06335212,  0.09322445, -0.03252331,  0.10990625,  0.05296024,\n",
       "               0.06274391, -0.06828348, -0.00669012, -0.06529921, -0.06385774,\n",
       "              -0.00469453, -0.06237091,  0.02758043, -0.01805163,  0.02514536,\n",
       "               0.02603881, -0.06227458, -0.05914124,  0.03783014, -0.01348026,\n",
       "               0.06827992, -0.0032312 , -0.03046561, -0.0322555 ,  0.00696298,\n",
       "              -0.06117222,  0.08064746,  0.00661277,  0.04205189, -0.00187845,\n",
       "               0.00134053,  0.04713155,  0.03848222,  0.00955177, -0.01729945,\n",
       "               0.07054575,  0.05640017, -0.04060783,  0.10005318, -0.00863852,\n",
       "              -0.01206508, -0.11370666,  0.0589518 ,  0.02252181,  0.01085351,\n",
       "              -0.05862788,  0.06050838, -0.0404699 ,  0.01645005, -0.02391776,\n",
       "               0.03373284,  0.01813378,  0.02180181,  0.085029  ,  0.01951534,\n",
       "               0.02479618,  0.06660656, -0.04783224,  0.02944209,  0.01654435,\n",
       "              -0.02841102, -0.00974132,  0.02232429,  0.02564151, -0.01640936,\n",
       "               0.03602761, -0.02629432, -0.01376491,  0.03745284,  0.09310715,\n",
       "               0.03658235,  0.15564579, -0.00202749,  0.03880566, -0.04853912,\n",
       "              -0.03625511,  0.06119736,  0.04084253, -0.04870071, -0.06162695,\n",
       "               0.01632578, -0.04341065,  0.04656903, -0.0440704 , -0.05622816,\n",
       "              -0.04555088,  0.04095583, -0.06571872, -0.07533228, -0.05780363,\n",
       "               0.09537734,  0.01029375,  0.02151015, -0.01916466,  0.00344319,\n",
       "               0.01045711, -0.02816289, -0.0054633 , -0.0422254 ,  0.02279947,\n",
       "               0.03764796, -0.07844343, -0.11132447, -0.08000287,  0.07466585,\n",
       "              -0.04620039,  0.04347288, -0.05221202,  0.0325383 ,  0.04610302,\n",
       "               0.00105967, -0.05383084,  0.00131864,  0.00120314,  0.05494611,\n",
       "               0.01871697,  0.08759677,  0.07549606, -0.01053284,  0.02858503,\n",
       "               0.09263271,  0.03506219,  0.01675326,  0.01634597,  0.04321634,\n",
       "              -0.02035   ,  0.0269411 , -0.03892916,  0.04301165, -0.06159354,\n",
       "               0.03273644,  0.04629609,  0.04455684, -0.07120742, -0.14631625,\n",
       "               0.03933687,  0.05545521, -0.0780623 ,  0.06431121,  0.00664417,\n",
       "               0.11619831, -0.06510914, -0.04278816,  0.06727535,  0.01102662,\n",
       "              -0.07555876, -0.04149453, -0.0363318 ,  0.05642246,  0.04154305,\n",
       "              -0.07591887, -0.00852204,  0.02847845, -0.08124229, -0.00519133,\n",
       "              -0.02647509,  0.02167735, -0.0507458 ,  0.06290963, -0.07127156,\n",
       "              -0.01933429, -0.07951409,  0.05625191,  0.0450494 ,  0.0550784 ,\n",
       "              -0.02066423,  0.07497045,  0.07415725, -0.01972245, -0.02798233,\n",
       "              -0.02803327,  0.1146956 ,  0.06247865,  0.09977809,  0.05160766,\n",
       "              -0.10617083,  0.01603453,  0.06618849, -0.00836951, -0.00505461,\n",
       "              -0.06142905,  0.01261455,  0.09157624,  0.04975569, -0.01733822,\n",
       "               0.01550387,  0.05993886, -0.05898743, -0.05518833, -0.0342938 ,\n",
       "               0.0247292 ,  0.08561489, -0.06418678, -0.04929859, -0.03099989]),\n",
       "       array([-0.0032302 ,  0.03566935, -0.09908267,  0.01086172,  0.00384105,\n",
       "               0.02700561, -0.00616848,  0.01188405,  0.00311438, -0.00272764,\n",
       "               0.03102695, -0.02687689, -0.07685598, -0.07610318,  0.01920874,\n",
       "               0.01657335,  0.02722111,  0.01382701, -0.0576295 ,  0.01035307,\n",
       "               0.03015197,  0.02755285, -0.03004658,  0.01866527,  0.0610033 ,\n",
       "               0.02195414, -0.01354628,  0.0217519 ,  0.01814798, -0.04933976,\n",
       "               0.0462132 ,  0.03191028,  0.01155149,  0.01205244,  0.13242919,\n",
       "               0.02585633,  0.04695947,  0.07401404,  0.01368753, -0.07498914,\n",
       "              -0.096583  ,  0.01895781,  0.02035018, -0.01820682, -0.07088263,\n",
       "               0.08910774,  0.0079791 ,  0.04711846,  0.02494827, -0.01715742,\n",
       "               0.00691588, -0.02513659,  0.01014348, -0.04160818,  0.00749984,\n",
       "              -0.02965872, -0.03281767,  0.01263013,  0.00460428, -0.06461981,\n",
       "              -0.04198899, -0.04619288,  0.0578483 ,  0.02666662,  0.04612927,\n",
       "              -0.02186299, -0.02931066,  0.02743235,  0.02717494,  0.02900533,\n",
       "              -0.02207201,  0.06983439,  0.02843046, -0.02505716,  0.06141163,\n",
       "               0.04144907, -0.04869529, -0.00144132,  0.02209757,  0.00703736,\n",
       "              -0.04869014,  0.01423102, -0.02703111, -0.07595293,  0.09746115,\n",
       "              -0.01920735, -0.04454707, -0.0028235 ,  0.06711868, -0.10436293,\n",
       "              -0.00842484,  0.03503935, -0.10549553, -0.04810731,  0.03091845,\n",
       "              -0.07810047, -0.04007854,  0.03055938,  0.0164012 ,  0.0167846 ,\n",
       "              -0.07664174, -0.05279157, -0.02857964, -0.0316946 ,  0.02455955,\n",
       "               0.00526348,  0.01439877,  0.02376896,  0.0409372 , -0.00782027,\n",
       "               0.11053263,  0.0721374 , -0.01047646, -0.00734058,  0.01664813,\n",
       "               0.07729483, -0.02425809,  0.08140723,  0.02929476,  0.06057305,\n",
       "               0.02081047, -0.10616582,  0.01349017, -0.05402215, -0.01559931,\n",
       "               0.01160431, -0.07583063, -0.05039385, -0.08323349,  0.07164185,\n",
       "              -0.13465562, -0.01222788, -0.05860464,  0.00597448, -0.04429443,\n",
       "               0.02534972, -0.02476887,  0.09285805, -0.01230705, -0.01681028,\n",
       "               0.06696226,  0.08000582,  0.00102975,  0.06736142,  0.03863444,\n",
       "              -0.01939832, -0.1092593 ,  0.0619342 ,  0.01486192,  0.06466099,\n",
       "              -0.0879839 ,  0.035459  , -0.03637623,  0.04281153, -0.06892402,\n",
       "               0.04518269,  0.03845825,  0.0127866 , -0.00299874, -0.00519325,\n",
       "               0.05573985,  0.0229193 , -0.03584382, -0.00447695,  0.03464713,\n",
       "               0.02424589,  0.03871543,  0.03672344, -0.09363735,  0.04515888,\n",
       "              -0.01602956, -0.03877594, -0.04713443, -0.03489359,  0.00049706,\n",
       "               0.00858541,  0.04193248,  0.03122043,  0.05238732,  0.00232533,\n",
       "              -0.02532683,  0.08978513,  0.03053284, -0.00662192, -0.02476779,\n",
       "              -0.02948868, -0.01929403, -0.00192972, -0.08626475,  0.00496693,\n",
       "              -0.06019584,  0.06010737, -0.0741933 , -0.05067116, -0.02961224,\n",
       "              -0.01103544,  0.02288718, -0.06035225, -0.04538862, -0.06451839,\n",
       "               0.03893074, -0.0109643 , -0.07346253, -0.06555132, -0.01814774,\n",
       "               0.03722634, -0.04771926,  0.01145293, -0.06818241, -0.00271452,\n",
       "               0.09490841,  0.06198668, -0.02759804, -0.02241025,  0.00094909,\n",
       "              -0.01247265,  0.06501083,  0.01900733, -0.0412309 ,  0.03754448,\n",
       "              -0.02205595, -0.01743526, -0.02383308, -0.00739159,  0.06869124,\n",
       "               0.06470035, -0.03013869,  0.05210717,  0.0325446 ,  0.02764735,\n",
       "               0.01331725, -0.01450366, -0.02472287,  0.00330252,  0.00367871,\n",
       "               0.02175057,  0.04572881,  0.02694737, -0.02952772, -0.05658819,\n",
       "              -0.02913669,  0.05100057,  0.04954098,  0.03705151, -0.08660637,\n",
       "               0.05965161, -0.01257845,  0.01383304, -0.04333719,  0.01039143,\n",
       "              -0.02902304, -0.12319472,  0.02556773, -0.03567446,  0.06668169,\n",
       "              -0.01014187,  0.0126101 ,  0.01854571,  0.03943266,  0.04642652,\n",
       "              -0.04267427,  0.0220845 , -0.13940511, -0.05246595, -0.04491855,\n",
       "               0.02387535, -0.07545882, -0.02308484,  0.00857998,  0.02109344,\n",
       "              -0.01213854,  0.06616215, -0.01241429,  0.02012144,  0.02896696,\n",
       "              -0.0206924 , -0.06813172, -0.02604514,  0.01670279, -0.01450531,\n",
       "               0.02862386, -0.01178271, -0.0231606 , -0.01124569,  0.01925472,\n",
       "              -0.04224017,  0.02092154,  0.00092306,  0.0017903 , -0.05266168,\n",
       "               0.02244607,  0.07391851, -0.05360201, -0.01347452,  0.00672621,\n",
       "               0.01002199,  0.1164033 ,  0.00693458, -0.05388961, -0.0380525 ]),\n",
       "       array([ 0.01179692, -0.01992074,  0.00777476,  0.06208232,  0.02912186,\n",
       "               0.02329268, -0.01777745, -0.01222046,  0.01765783, -0.0697107 ,\n",
       "               0.06136719, -0.03578894, -0.06924471, -0.05015833,  0.02342561,\n",
       "               0.00099819,  0.02518003,  0.04648554,  0.00976271, -0.05353183,\n",
       "               0.02652191,  0.04467961, -0.06890747,  0.04780899, -0.01106619,\n",
       "              -0.00416946, -0.01194732, -0.05939768, -0.00893372, -0.00732822,\n",
       "               0.02819579,  0.03470314,  0.0471722 , -0.03120549,  0.00659078,\n",
       "              -0.01104338,  0.00879981,  0.03786865, -0.0533817 , -0.02151968,\n",
       "               0.01183673, -0.00817192, -0.00555432, -0.07555129, -0.0129176 ,\n",
       "               0.01143537,  0.05169639, -0.00970229,  0.04131328, -0.00065611,\n",
       "               0.02430851,  0.01309281, -0.02406746, -0.04233867,  0.05486973,\n",
       "              -0.03475737, -0.01494126, -0.04255968, -0.00054417,  0.00558992,\n",
       "              -0.05710559,  0.01929868,  0.0375483 ,  0.03259225,  0.00820169,\n",
       "              -0.01905951, -0.05286934,  0.04393448,  0.00324748, -0.00205967,\n",
       "              -0.05416735, -0.01819721,  0.00993126, -0.01911522,  0.03503485,\n",
       "               0.02354455, -0.09000258, -0.01964902,  0.01226277,  0.00517925,\n",
       "              -0.02478961,  0.03056613, -0.02996543, -0.00412627, -0.0639009 ,\n",
       "              -0.0274385 , -0.03489129, -0.01127531, -0.01087451, -0.03002988,\n",
       "               0.00337903,  0.01694898,  0.02858727, -0.06379705,  0.02385616,\n",
       "              -0.02648982, -0.00926879,  0.03282767,  0.02945121,  0.03677889,\n",
       "              -0.02139279, -0.03945857, -0.04316236, -0.0264971 , -0.00833131,\n",
       "               0.00733111,  0.01508606, -0.00169207,  0.00390445,  0.03969281,\n",
       "               0.03864636,  0.04147265, -0.01271882,  0.00555952, -0.01035345,\n",
       "               0.03293508, -0.04879549, -0.00219846,  0.00726977,  0.00915748,\n",
       "               0.03911472, -0.00077455, -0.01884055, -0.00154613, -0.03452843,\n",
       "              -0.02099229, -0.01663726,  0.00945229, -0.00893032,  0.03402999,\n",
       "              -0.02523015,  0.03389876, -0.02359684, -0.02820165, -0.03737445,\n",
       "               0.02494837,  0.04246009,  0.0152726 , -0.02614567, -0.00642105,\n",
       "               0.0425974 ,  0.00859279, -0.02557589,  0.07345402,  0.02795639,\n",
       "              -0.03040275, -0.07238515,  0.03316424, -0.00732228,  0.04945314,\n",
       "              -0.03754036,  0.08713898, -0.02579852, -0.01071951, -0.00239529,\n",
       "              -0.04487109,  0.0692866 , -0.02638731,  0.02951128,  0.04121369,\n",
       "              -0.05486419,  0.03057534, -0.02597455,  0.00323426, -0.00970616,\n",
       "              -0.01458498, -0.0148206 ,  0.03557923, -0.00093867,  0.03764079,\n",
       "               0.02683521, -0.00443415, -0.00561002, -0.0116787 ,  0.07399432,\n",
       "               0.0488838 ,  0.04915467,  0.03338828, -0.0467382 , -0.03519615,\n",
       "              -0.0209666 ,  0.00858467,  0.03665558,  0.01548465, -0.01764842,\n",
       "               0.00576846,  0.01451741,  0.01701161, -0.06038562, -0.00028641,\n",
       "               0.03676392,  0.05006567, -0.0253013 , -0.05344091,  0.04686653,\n",
       "               0.07467577,  0.04749224, -0.0125117 ,  0.00152361, -0.02889595,\n",
       "              -0.01291029, -0.02439291, -0.02196564, -0.05689063, -0.01802808,\n",
       "              -0.04017279, -0.029913  , -0.02337777, -0.03138374,  0.00839122,\n",
       "               0.00819312,  0.02393249, -0.00882343,  0.00670306,  0.04520618,\n",
       "               0.03004498, -0.02291137,  0.05008163, -0.02595487,  0.01648336,\n",
       "              -0.01474951,  0.01496702,  0.00893596, -0.03150325,  0.0115063 ,\n",
       "               0.03197656,  0.01404051,  0.03639789, -0.06205863, -0.01316577,\n",
       "               0.02626863,  0.01019075, -0.04125962, -0.01822591, -0.04981149,\n",
       "              -0.01481576,  0.0303703 ,  0.01278775, -0.05510179, -0.03022767,\n",
       "               0.03269653, -0.01479453, -0.0322058 ,  0.0394783 , -0.02098993,\n",
       "               0.06687664,  0.0137372 , -0.05378105, -0.01011021,  0.0094793 ,\n",
       "               0.01287591, -0.05455552, -0.03827906,  0.03940214,  0.00490639,\n",
       "              -0.04917368,  0.05002413,  0.02248446,  0.02484123,  0.02465772,\n",
       "              -0.03672095,  0.03792009, -0.07360782, -0.01036973, -0.03723473,\n",
       "               0.00572278,  0.01157187,  0.0006586 , -0.00817196, -0.01759922,\n",
       "               0.0141438 ,  0.01586036,  0.04396169,  0.02798472, -0.03738536,\n",
       "              -0.02138153,  0.02943183,  0.03475225, -0.00623379,  0.02280382,\n",
       "              -0.05386676, -0.00700567,  0.00151987, -0.01015386, -0.00397425,\n",
       "              -0.01483758,  0.0299524 ,  0.02397212, -0.01347318, -0.00549691,\n",
       "              -0.00363799,  0.00878702,  0.0088541 ,  0.00609703, -0.02738502,\n",
       "              -0.03706547,  0.02487423, -0.0461665 , -0.01818919,  0.00977627]),\n",
       "       array([ 1.95857123e-02, -1.50978375e-02, -2.42386060e-03,  6.98786151e-02,\n",
       "               1.86577287e-02,  4.59041881e-02, -1.13986300e-02, -1.27846967e-02,\n",
       "               5.66251832e-03, -6.67094395e-02,  7.25664588e-02, -3.14783542e-02,\n",
       "              -6.32878689e-02, -7.16122918e-02,  3.83146296e-02,  1.09262455e-02,\n",
       "               1.47942340e-03,  5.95875352e-02,  1.00126955e-02, -3.94966924e-02,\n",
       "              -6.20340277e-04,  2.47090468e-02, -4.78240702e-02,  3.38308164e-03,\n",
       "               4.12026449e-02, -1.58275706e-03, -3.03388959e-02, -5.60529619e-02,\n",
       "              -9.56061395e-03, -4.02435185e-03, -1.19729844e-02,  3.25013279e-02,\n",
       "               6.25131616e-02, -2.88340881e-02,  5.34734093e-03,  3.04951077e-02,\n",
       "              -6.49380025e-03,  5.73050225e-02, -3.84508326e-02, -2.24513544e-02,\n",
       "               3.45193439e-02, -1.52181286e-02,  6.84582107e-03, -6.88915234e-02,\n",
       "              -2.52252460e-02, -7.63637056e-03,  5.08216828e-02, -3.90733324e-02,\n",
       "               9.72893909e-03, -1.08784346e-02, -2.59670077e-02, -1.40180806e-02,\n",
       "              -1.94659488e-02,  3.15757872e-03,  5.63459755e-02, -1.77664343e-02,\n",
       "              -3.40075406e-02, -4.40311573e-02, -5.66603430e-04, -5.33391070e-03,\n",
       "              -8.95097800e-02,  5.12461794e-02,  2.09168733e-02,  4.10097975e-02,\n",
       "               2.16336849e-02, -4.99206455e-04, -4.41723076e-02,  3.05133490e-02,\n",
       "               2.53375347e-02, -8.49219104e-03, -3.88086321e-02, -3.18268812e-02,\n",
       "              -2.29106089e-03, -4.00681228e-02, -8.49716687e-03,  1.34408580e-02,\n",
       "              -7.00904544e-02, -3.27682700e-02,  2.65177993e-02, -5.73557466e-03,\n",
       "              -1.84858220e-02, -4.98497363e-03, -3.05653938e-02, -1.66352569e-02,\n",
       "              -4.97337905e-02, -3.08265736e-02, -6.06507671e-02, -2.79464325e-02,\n",
       "              -1.73910247e-02, -5.48989970e-02,  5.95980705e-03,  3.39838901e-02,\n",
       "              -1.68023307e-02, -3.31421753e-02,  1.68534936e-03, -4.06808481e-02,\n",
       "              -1.99652279e-02,  2.23167541e-02,  3.53693063e-02,  2.72008969e-02,\n",
       "              -3.05355183e-02, -2.69429030e-02,  5.71191038e-03, -4.99873450e-03,\n",
       "              -1.08678097e-02, -3.21815807e-02,  7.46162981e-04,  3.04239517e-02,\n",
       "              -1.47625631e-02,  2.46696203e-02, -1.72872618e-03, -2.07899138e-05,\n",
       "               2.98050391e-03,  9.08331396e-03, -2.74118609e-02,  9.29837115e-03,\n",
       "              -1.62755313e-02, -2.12899233e-02,  1.40246465e-03,  1.04499248e-02,\n",
       "               1.77781201e-02, -2.07808192e-02, -1.22272941e-02, -1.24826996e-02,\n",
       "              -5.25090639e-02, -2.06186095e-02, -1.10066430e-02,  4.72186338e-03,\n",
       "              -2.74675768e-02,  8.58211145e-04, -3.26816566e-02,  3.68083473e-02,\n",
       "              -1.18294693e-02,  1.32730194e-02, -7.96773210e-02, -3.85754602e-04,\n",
       "               4.15279767e-02, -9.30874550e-03, -2.56240169e-02, -1.57797499e-02,\n",
       "               2.83717563e-02,  3.46838934e-02, -1.56395556e-03,  6.84374850e-02,\n",
       "               6.66838035e-02, -2.27544030e-02, -6.57009032e-02,  2.64793771e-02,\n",
       "               3.82499307e-02,  4.28496413e-02, -5.98339890e-02,  1.03698099e-01,\n",
       "              -5.32190527e-02,  9.88168495e-03, -2.28077387e-02, -9.59968660e-03,\n",
       "               3.46648377e-02, -3.53282354e-02,  3.49307823e-02,  2.38099938e-02,\n",
       "              -5.97668313e-02,  4.39162906e-02, -3.92074962e-03, -1.79248360e-02,\n",
       "              -4.14513357e-02,  1.74091235e-02, -3.46272243e-03,  6.67941495e-02,\n",
       "              -8.30092528e-03,  3.68934010e-02,  5.66447278e-02, -3.68194390e-02,\n",
       "              -8.99512125e-03, -5.95214250e-03,  9.05188885e-02,  7.49420136e-02,\n",
       "               7.60760190e-02,  4.73850435e-03, -1.73790795e-02, -9.99080774e-03,\n",
       "              -5.68166682e-03,  4.52000311e-02,  3.41200784e-02, -2.04014242e-02,\n",
       "              -2.06443620e-02,  7.99567876e-03, -1.94785977e-02,  2.61494297e-02,\n",
       "              -6.85585549e-02,  5.58181424e-03,  2.77200202e-02,  2.66106786e-02,\n",
       "              -1.28231702e-02, -9.30238198e-02,  3.02530255e-02,  5.94014127e-02,\n",
       "               7.48367503e-02,  7.92907458e-04,  9.66718020e-03, -2.50605688e-02,\n",
       "               2.10449064e-02, -2.70931147e-02, -3.87258513e-02, -4.94663341e-02,\n",
       "              -3.02187355e-02, -4.21343339e-02, -3.63840535e-03, -4.94177073e-02,\n",
       "              -2.97540682e-02,  1.02043238e-02,  1.73221505e-03,  4.73744845e-02,\n",
       "              -2.03201183e-02,  6.56541544e-03,  2.76004813e-02,  3.80192846e-02,\n",
       "               6.05332404e-03,  5.24716182e-02, -2.48645178e-02,  1.87709077e-02,\n",
       "              -2.35949497e-02,  2.96746997e-02,  9.99261485e-04, -3.88420665e-02,\n",
       "               2.10261839e-02,  4.17074117e-02,  2.31471228e-02,  3.65073829e-02,\n",
       "              -3.95432332e-02, -2.47070903e-02, -2.27709979e-02,  1.80323467e-02,\n",
       "              -5.33526393e-02, -2.33133240e-03, -5.23269507e-03,  6.42127916e-04,\n",
       "               3.61908541e-02,  3.74356464e-02, -8.84010153e-02, -3.83897033e-02,\n",
       "              -3.54019809e-05, -5.84771149e-03, -3.95870692e-02,  3.27801379e-02,\n",
       "              -3.39707465e-02,  3.54159332e-02,  1.03994495e-02, -6.45637937e-02,\n",
       "              -1.52455071e-02,  1.03013759e-02,  1.12816360e-02, -6.54223616e-02,\n",
       "              -4.17387675e-02,  4.15383592e-02, -1.35248317e-02, -4.98975655e-02,\n",
       "               3.01586431e-02, -4.53478713e-03,  1.48587070e-02,  1.79905904e-02,\n",
       "              -4.84086227e-02,  2.16157059e-02, -8.78888593e-02, -1.06548374e-02,\n",
       "              -2.65340105e-02, -6.19485464e-03,  2.43394516e-02, -2.13843652e-02,\n",
       "               2.22146442e-02,  9.61695358e-03,  7.21179266e-03,  3.32879059e-02,\n",
       "               7.16975225e-02,  3.98525547e-02, -8.41229238e-02,  8.34167600e-03,\n",
       "               1.50994869e-02,  2.95632076e-02,  2.54135728e-02,  6.80836470e-02,\n",
       "              -5.53718418e-02, -2.92264631e-02,  2.69773709e-02,  5.30962687e-03,\n",
       "              -3.84389075e-03, -2.69666983e-02,  3.42225119e-02,  9.85296146e-03,\n",
       "               1.39641845e-02,  1.49703065e-03, -1.48422316e-02, -1.48213172e-02,\n",
       "              -5.38758282e-04,  1.42769315e-02, -4.57988011e-02, -7.78758319e-03,\n",
       "               4.35773416e-02, -4.31984010e-02, -5.32256591e-02, -3.07670265e-03]),\n",
       "       array([ 2.27899649e-02, -1.68513949e-02, -2.54314871e-02,  9.09693992e-03,\n",
       "              -6.31487447e-03,  4.34367804e-02, -1.65197539e-02,  1.96326591e-02,\n",
       "               6.37121558e-03, -5.31683208e-02,  4.99691543e-02, -2.24138680e-02,\n",
       "              -5.20533361e-02, -5.66659030e-02,  5.59836346e-02,  2.39749007e-02,\n",
       "               4.65849492e-02, -5.20375617e-03,  1.09843200e-02,  5.88242134e-04,\n",
       "               2.91090117e-02,  4.72757840e-02, -5.66371188e-02, -1.17276355e-03,\n",
       "               3.59418763e-02,  3.02926809e-02, -2.22338414e-02, -4.07426266e-02,\n",
       "              -2.37298183e-02, -1.13101281e-02,  2.42536653e-02,  4.05422299e-02,\n",
       "              -4.05884873e-03, -2.88710053e-02,  3.13643907e-02, -9.28403471e-03,\n",
       "               1.60721851e-02,  3.71602246e-02, -3.66035684e-03,  7.65407966e-04,\n",
       "              -2.07588537e-02, -6.11475127e-03,  7.33391547e-03, -4.85002098e-02,\n",
       "              -5.08085982e-02,  3.11423341e-02, -2.04830240e-03,  7.01618703e-03,\n",
       "              -2.85028932e-02,  1.40642117e-02, -3.30057698e-02, -1.52062738e-02,\n",
       "              -3.76228844e-02,  1.61606789e-02,  4.38304336e-02, -2.60977329e-05,\n",
       "              -3.62302299e-02, -3.28016499e-02,  1.60269621e-02, -3.14803486e-02,\n",
       "              -5.49735596e-02,  1.18442504e-02,  2.31556282e-02,  3.76470185e-02,\n",
       "               3.59000547e-02, -1.15724557e-02, -6.29243331e-03,  8.97691263e-03,\n",
       "              -8.14840536e-03, -4.57397002e-03, -2.14828080e-02, -1.53947889e-02,\n",
       "               1.03271942e-02, -6.40752480e-03,  3.10992497e-02,  2.00283336e-02,\n",
       "              -8.02707797e-02, -3.73595512e-02,  9.21962190e-04, -4.19743500e-02,\n",
       "              -1.47179660e-02, -2.93376458e-02, -6.87916551e-02, -5.37616412e-02,\n",
       "               9.64767854e-03, -3.52806215e-02, -7.34866415e-02, -3.48289584e-02,\n",
       "               1.37499382e-02, -2.81670392e-02, -8.05200655e-03,  6.71946635e-02,\n",
       "              -3.00659186e-02, -1.62067558e-02,  3.46064890e-02, -2.27668381e-02,\n",
       "               4.84257825e-03,  3.02723277e-02,  3.00170261e-02,  2.64021828e-02,\n",
       "              -2.91190131e-02, -4.97165357e-02, -3.60656167e-02, -2.36845778e-02,\n",
       "               1.58230338e-02, -2.08622259e-02, -4.66075235e-03,  2.09426726e-02,\n",
       "               1.45578312e-02,  1.55797105e-02,  2.59083565e-02,  2.51230087e-02,\n",
       "              -7.04629613e-02, -9.89960286e-03, -5.67897186e-03,  2.00142225e-02,\n",
       "              -2.93254644e-02, -1.61021672e-02,  5.62450520e-02,  5.25804877e-02,\n",
       "               1.40579742e-02, -4.46814028e-02, -5.20042203e-03, -7.07616193e-02,\n",
       "               1.68379010e-03,  1.06858374e-02, -4.26106756e-02,  1.19718384e-02,\n",
       "              -4.15458573e-02,  4.75403174e-02, -4.12699901e-02,  3.07977359e-02,\n",
       "              -3.11343884e-02,  6.56150574e-03, -9.55302096e-02,  2.25935294e-02,\n",
       "              -2.81854533e-03,  6.06515813e-03, -7.76521091e-03, -3.35195644e-03,\n",
       "               2.98340051e-02,  3.84392274e-02, -2.42983618e-02,  8.38178684e-02,\n",
       "               7.39430997e-02, -1.51822792e-03, -7.18398885e-02,  1.27855114e-02,\n",
       "               2.55787900e-03,  4.43483174e-02, -6.31520741e-02,  5.89105202e-02,\n",
       "              -5.77163772e-02,  7.58656813e-03, -1.90780748e-02,  9.03504000e-03,\n",
       "              -1.03207781e-02, -9.11923578e-03,  3.06515761e-02,  3.61933757e-02,\n",
       "              -2.15380926e-02,  1.99648148e-02, -2.66823574e-02, -2.90543171e-02,\n",
       "              -3.23794745e-03,  5.85253499e-03, -6.70754573e-02,  3.86045552e-02,\n",
       "              -3.45514633e-02,  3.77509478e-02,  4.02196357e-02, -7.34573198e-02,\n",
       "              -2.38170846e-02, -2.97888746e-02,  8.02812500e-02,  4.52028306e-02,\n",
       "               3.17261917e-02, -2.86360038e-04,  3.74478995e-03, -2.85891518e-03,\n",
       "              -2.75532061e-03,  3.74767105e-02,  2.48062062e-02, -6.30525091e-03,\n",
       "               1.87814580e-02, -3.96558405e-03, -4.66097421e-02, -1.93713064e-02,\n",
       "              -6.58653704e-02,  4.05261955e-02, -1.11503058e-02,  3.11457820e-02,\n",
       "              -4.24130109e-02, -5.11853793e-02,  1.17502195e-02,  2.05961343e-02,\n",
       "               2.12479511e-02,  1.18772067e-02, -3.69415239e-02, -1.13547596e-02,\n",
       "               3.75171239e-02, -8.84301139e-03, -2.92773924e-02, -2.79929123e-02,\n",
       "              -1.92530848e-02,  3.22024202e-03, -4.42738648e-02, -7.16910921e-02,\n",
       "              -8.72059788e-02,  1.91258134e-02,  8.07683763e-03,  5.57114803e-02,\n",
       "              -2.59949328e-02,  1.14740418e-02,  3.77106564e-02,  6.51691668e-03,\n",
       "              -2.26154775e-02,  6.40064858e-02, -5.06046202e-02,  4.87979528e-02,\n",
       "              -1.97520772e-02,  3.72182059e-02,  5.60754327e-02, -1.78967081e-02,\n",
       "               3.82226673e-02,  3.93999832e-02, -1.80773726e-02,  9.42675439e-03,\n",
       "              -8.33825611e-03, -1.54739665e-02, -1.80346456e-02, -1.90729462e-02,\n",
       "              -1.70960076e-02,  4.67172240e-02, -3.66737102e-02, -5.98413396e-02,\n",
       "               4.83754243e-02,  4.29170657e-02, -3.99255957e-02, -5.97437224e-02,\n",
       "               1.01991423e-02,  5.69463903e-03, -2.11019602e-02,  3.40416492e-02,\n",
       "              -6.62942576e-02,  6.01855682e-02,  8.07752083e-03, -3.86180576e-03,\n",
       "              -2.10264003e-02,  2.71694573e-02, -1.45439075e-03, -7.26533568e-02,\n",
       "              -3.81363640e-04,  1.67086681e-02,  5.05166455e-02, -5.12020444e-02,\n",
       "               3.21292757e-02, -3.48656686e-03,  2.67215645e-02,  3.74353768e-02,\n",
       "              -5.21502075e-02,  1.13452095e-02, -7.55980836e-02, -1.42177809e-02,\n",
       "              -2.06683648e-02,  4.25918416e-02,  1.27243941e-02, -4.72816676e-02,\n",
       "               2.88858623e-02,  1.18402728e-02,  1.58909144e-02,  4.40876333e-02,\n",
       "               2.75741714e-02,  1.84336077e-02, -8.68251461e-02, -3.82748061e-02,\n",
       "               8.63420629e-04,  2.13467141e-02,  1.90032669e-02,  1.92471007e-02,\n",
       "              -6.24103679e-02, -4.26379414e-02, -1.12358830e-02, -5.88536534e-03,\n",
       "               1.39864654e-02,  5.57769357e-02, -8.36982878e-03, -6.16038544e-03,\n",
       "               9.51801257e-04, -8.83428159e-03,  1.73596721e-02,  3.65731505e-02,\n",
       "              -4.06886441e-02, -1.88531721e-02,  7.48788484e-03, -2.22594521e-02,\n",
       "               4.10368636e-02, -1.75737398e-02, -7.00006470e-02, -3.38605834e-03]),\n",
       "       array([-8.45727666e-04, -1.10802964e-02, -7.32168456e-02,  4.46190254e-02,\n",
       "               1.17085922e-02,  2.30554395e-02,  1.96447217e-02,  1.09395827e-03,\n",
       "               2.03867550e-02, -3.89003034e-02,  9.63744447e-02, -3.51889214e-02,\n",
       "              -6.36791165e-02, -5.52588198e-02,  6.73681886e-03,  3.03201117e-02,\n",
       "               7.51999253e-03,  4.36052264e-02,  3.24331942e-02,  2.70382712e-02,\n",
       "               8.71121318e-02,  9.03013684e-02, -7.22955683e-02,  1.02378928e-02,\n",
       "               7.24957028e-02, -1.99919497e-02,  1.74480978e-02, -2.13959655e-02,\n",
       "              -6.55852749e-02, -9.71328296e-03,  1.15241200e-02,  7.60397883e-02,\n",
       "               2.64904707e-02, -9.36816710e-03,  6.72970122e-02,  4.36763028e-02,\n",
       "               5.87165492e-02, -2.23272736e-03, -6.18503848e-03,  3.00444302e-02,\n",
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       "              -9.33588141e-03,  8.69965553e-03, -5.65980335e-02, -4.93770667e-03,\n",
       "              -5.01857406e-02,  4.78077340e-02, -2.25680203e-02, -5.03562080e-03,\n",
       "              -3.91184073e-02,  5.43143550e-02,  7.70602304e-02,  3.85627519e-03,\n",
       "              -3.45113095e-02, -8.97041769e-02,  1.67248528e-02, -1.22623152e-02,\n",
       "              -5.38734344e-02, -4.31562557e-03,  3.84664128e-02,  6.80625088e-02,\n",
       "              -2.41509971e-02,  8.26651479e-03,  5.82510675e-02, -2.45355427e-02,\n",
       "               2.07454845e-02, -3.13912840e-02, -3.31153371e-03, -5.10166856e-02,\n",
       "               1.77404832e-02, -2.74156407e-02,  7.87829235e-03,  5.51486512e-02,\n",
       "              -8.17153609e-02,  3.08801105e-02,  2.77371880e-02,  4.74467384e-02,\n",
       "               5.02028557e-03, -9.83941619e-03, -1.06071049e-01, -1.51980248e-02,\n",
       "              -4.12899197e-02, -2.61110703e-02, -6.69277326e-02, -3.07027831e-02,\n",
       "              -7.79429831e-03, -3.57274531e-02,  2.81225243e-02,  4.94280582e-02,\n",
       "              -5.09395700e-02, -5.32062710e-02,  6.74357390e-03, -1.98641314e-02,\n",
       "               4.24193288e-03,  5.80616367e-02,  9.55876758e-03,  3.98357166e-03,\n",
       "              -1.87247829e-02, -4.44855218e-02, -2.26127595e-02, -5.99104020e-02,\n",
       "               3.29494923e-02,  2.26814577e-02, -8.70716684e-02,  4.47133269e-03,\n",
       "              -2.42618330e-02, -1.93885011e-02,  2.94768354e-02, -4.16165112e-02,\n",
       "              -5.62255935e-02, -1.04530104e-02,  1.57908165e-02, -6.83823271e-03,\n",
       "              -3.66813769e-02, -5.32101100e-02,  3.86556477e-02,  1.41483451e-02,\n",
       "               2.98440177e-02, -2.61647423e-02, -3.03284565e-02, -9.05574330e-03,\n",
       "               3.81810654e-02, -2.48566878e-02, -7.62467353e-02,  2.25353343e-02,\n",
       "              -9.62599049e-03,  7.26685001e-02, -6.16362731e-02, -5.45655017e-02,\n",
       "              -8.84532599e-02,  3.96026149e-02, -9.29118252e-02,  4.17674367e-02,\n",
       "               2.43530949e-02,  6.76865651e-03, -2.01967706e-02, -5.11035916e-02,\n",
       "               1.63208662e-03, -1.94182371e-03,  2.45810086e-02,  8.69399340e-02,\n",
       "               3.97760169e-02, -2.57757120e-02, -3.62530894e-02, -2.12678638e-02,\n",
       "               5.84729789e-02,  2.84609159e-02, -7.68762849e-02,  1.13369942e-01,\n",
       "               8.88336411e-05,  1.73847250e-02, -1.99867822e-02, -1.61098131e-02,\n",
       "               2.65928846e-02, -6.22808958e-02,  3.52430137e-02,  3.71724887e-02,\n",
       "              -7.54389707e-02,  1.94014361e-04, -1.00709066e-02, -4.29877970e-02,\n",
       "              -6.99443712e-03,  2.57936586e-03, -3.93391172e-02,  1.72506565e-02,\n",
       "              -8.38878021e-03,  2.30680973e-02,  3.47285476e-02, -2.81021637e-02,\n",
       "              -2.58086432e-02, -5.16366322e-03,  4.51210176e-03,  3.26265997e-02,\n",
       "               8.26137668e-02,  7.74779574e-03,  3.59853089e-02, -5.72262298e-02,\n",
       "               8.59042552e-03,  6.05789715e-02, -3.07081567e-02, -1.41167218e-02,\n",
       "               1.66808255e-03,  4.43051228e-03, -5.75626654e-02, -3.58928106e-02,\n",
       "              -9.43327751e-02,  9.20647786e-02,  1.51364727e-02,  3.70978232e-02,\n",
       "              -4.43372636e-02, -2.27328762e-02,  3.04202104e-02,  4.69950096e-02,\n",
       "               5.91134472e-02,  8.29768243e-02,  1.91775875e-02, -6.58557238e-02,\n",
       "               5.17401457e-02, -4.50934682e-02, -3.88022744e-02, -6.64191449e-02,\n",
       "              -4.92816983e-02, -3.12013254e-02, -6.88480064e-03, -8.11960337e-02,\n",
       "              -6.10959663e-02,  6.54215142e-02, -3.93845260e-02,  3.85672131e-02,\n",
       "              -1.10853172e-02, -4.86550013e-02,  4.65582246e-02,  1.54359571e-02,\n",
       "              -4.52724664e-02, -2.78410383e-02, -3.97881791e-02,  3.53565412e-03,\n",
       "              -5.25628003e-02, -1.63109333e-02,  3.03701079e-02, -5.48645882e-02,\n",
       "               3.22051622e-03, -9.94131324e-03, -3.90789824e-02,  4.72995685e-03,\n",
       "               7.86447867e-03,  2.33199137e-03, -1.22904215e-02, -1.28534900e-02,\n",
       "              -3.06099889e-02,  1.66305349e-02,  2.03068747e-02, -2.56233067e-02,\n",
       "               1.66894135e-02,  5.99861566e-02, -6.80602298e-02,  2.35100699e-02,\n",
       "               5.72960684e-03, -2.89870627e-02,  1.85293915e-02,  7.50105856e-02,\n",
       "              -3.61767733e-02, -1.35711301e-03, -1.56119245e-02, -4.52282157e-02,\n",
       "              -9.84199469e-02, -2.30517083e-03,  5.00461074e-02, -1.62907548e-01,\n",
       "               2.79882386e-02,  9.41893564e-02,  2.18013367e-02, -3.90417563e-03,\n",
       "               1.82606092e-02,  2.92395169e-02,  4.02334180e-02,  2.47806596e-02,\n",
       "              -2.27074127e-02, -2.29393074e-02,  1.75112014e-02,  5.16144354e-02,\n",
       "               5.12188852e-03, -1.17376087e-02, -2.35404389e-03, -1.13671554e-01,\n",
       "               1.90243856e-02,  4.46056490e-02, -2.89296528e-02,  4.10535568e-02,\n",
       "               3.34536766e-02,  6.12778421e-02, -6.14296971e-02,  1.61843803e-02,\n",
       "               4.72943280e-02,  6.76060429e-03,  6.68469562e-02,  1.19398797e-02,\n",
       "              -6.79645824e-02, -2.04203402e-02,  7.57769101e-02,  2.84693787e-02,\n",
       "              -8.07382787e-03,  7.28897223e-03,  3.62040972e-03, -2.42087501e-02,\n",
       "               3.77160194e-02, -2.03013771e-02,  3.28270512e-02,  3.97239265e-02,\n",
       "              -3.49474403e-02, -3.16347464e-02, -2.57261889e-02, -2.11707278e-02,\n",
       "               6.56464882e-02,  1.86651150e-02, -1.00397777e-01, -2.57821105e-02]),\n",
       "       array([-3.55447941e-02,  1.44982506e-02, -3.30610098e-02, -9.79002193e-03,\n",
       "              -2.56448239e-02, -5.04987873e-03,  3.98960337e-03,  4.01104596e-02,\n",
       "               6.64246641e-03, -6.13817330e-02,  6.31139427e-03,  2.42139200e-02,\n",
       "               3.15733161e-03, -4.96038105e-02,  1.09038118e-01,  3.87998531e-02,\n",
       "               6.91046473e-04, -2.99261697e-02, -6.34552166e-02,  1.74799934e-05,\n",
       "               3.59902494e-02,  3.71877011e-02, -3.69440671e-02, -7.94423930e-03,\n",
       "               4.32102280e-02,  1.02630490e-02, -1.31776435e-02, -9.51693207e-02,\n",
       "              -2.39536883e-02, -1.47308586e-02,  2.46144342e-02,  1.49253272e-02,\n",
       "               5.41021582e-03, -4.08353994e-03,  1.13442156e-01, -2.16516070e-02,\n",
       "               2.13634949e-02,  2.93817800e-02, -3.14744795e-02,  2.18809959e-02,\n",
       "               1.82397561e-02,  2.79226527e-03,  1.74627528e-02, -5.58585548e-02,\n",
       "              -7.77180484e-02, -1.87422596e-02,  4.76059057e-02,  1.72336586e-02,\n",
       "              -5.37227904e-02,  6.27040677e-02, -7.64776114e-02, -3.69098806e-02,\n",
       "              -8.64092363e-02,  3.56976856e-02, -5.02269162e-03, -3.30545222e-02,\n",
       "              -5.58688212e-02, -9.63342376e-02,  6.75570108e-02, -2.04547578e-02,\n",
       "              -9.25280154e-03, -1.95409782e-03,  1.12486610e-02,  5.80351916e-02,\n",
       "               6.28119428e-02,  2.44963905e-02,  1.98782223e-02, -3.68827460e-02,\n",
       "               4.36550425e-03,  3.31871910e-02, -2.82353116e-02, -1.67928636e-04,\n",
       "               1.07725728e-02,  2.73339779e-02,  3.75047401e-02,  1.22074015e-02,\n",
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       "              -1.72681324e-02, -3.20650553e-02, -8.76203142e-02,  1.63696203e-02,\n",
       "              -3.73286493e-02,  5.47244800e-02, -5.88925201e-02,  1.66398953e-02,\n",
       "               4.66351407e-02, -6.82424791e-02,  1.07813627e-03,  9.75953974e-02,\n",
       "              -7.48043116e-02, -3.74028729e-02,  2.23913649e-03, -4.57184035e-02,\n",
       "              -5.35123795e-03,  1.04235613e-02,  4.17935515e-02, -1.33514497e-03,\n",
       "              -3.87040579e-02, -2.74664117e-02, -2.25793335e-02, -3.12990295e-02,\n",
       "               8.98325443e-03, -3.65179437e-02, -6.59552645e-02,  1.35969864e-02,\n",
       "               9.37359594e-03,  4.79600364e-02,  1.28715420e-02,  2.66580340e-02,\n",
       "              -8.37246571e-02, -1.41334878e-02, -4.48993482e-02,  3.36103989e-02,\n",
       "              -7.49224536e-02,  2.55659232e-02,  4.56531420e-02, -1.15689868e-02,\n",
       "               2.45959526e-02, -6.07548319e-02, -1.95090061e-02, -1.02618460e-01,\n",
       "              -1.28852408e-02,  1.06963352e-02, -4.86266881e-03, -1.60154235e-03,\n",
       "              -3.36743798e-02,  4.92161550e-02, -6.71549179e-02,  5.94452117e-02,\n",
       "              -3.15057877e-02, -2.19747983e-03, -9.36526395e-02,  7.50750070e-03,\n",
       "               1.97422020e-02,  2.82942289e-02, -1.29414201e-02, -2.75887082e-02,\n",
       "               1.34872198e-02,  5.70742991e-02,  1.12250345e-02,  1.16731804e-01,\n",
       "               4.93642641e-02,  2.74154842e-02, -8.74411706e-02,  1.35337096e-02,\n",
       "               1.75593672e-02,  3.45936790e-03, -6.71398193e-02,  1.26817085e-01,\n",
       "              -8.32980238e-02,  6.70921616e-03, -5.83444666e-02,  5.95352566e-02,\n",
       "              -3.65003520e-02, -4.18624990e-02,  6.48114998e-02,  6.22034129e-02,\n",
       "              -7.94333592e-02, -3.01318818e-02, -8.63653012e-02, -5.82669396e-02,\n",
       "               7.61270523e-04, -3.18979844e-04, -3.51346999e-02,  7.72479512e-02,\n",
       "              -4.78664390e-03,  4.93871029e-02,  6.06095511e-02, -9.38250180e-02,\n",
       "               1.94693455e-02, -4.15679999e-04,  1.04149565e-01,  6.25460315e-02,\n",
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       "              -2.27584634e-02,  3.99625013e-02, -8.66993330e-04, -7.23050795e-02,\n",
       "               9.91453961e-03,  3.34345875e-02,  1.50256725e-02, -5.75441290e-02,\n",
       "              -6.27292488e-02,  4.40310510e-02, -2.68782275e-02,  2.77901045e-02,\n",
       "              -3.81828882e-02, -3.52758802e-02, -1.97383361e-02, -3.05322399e-02,\n",
       "               4.30256315e-02,  8.63162277e-03, -2.63882536e-02, -1.98558430e-02,\n",
       "               6.17295429e-02, -2.53267027e-03, -3.79353790e-02, -6.26484873e-02,\n",
       "               8.06912850e-03, -2.14820241e-02, -5.16319256e-02, -6.50760680e-02,\n",
       "              -8.31885412e-02,  3.83473970e-02, -2.64943466e-02,  1.15489796e-01,\n",
       "              -3.34257698e-02, -3.50287815e-02,  9.78056714e-02,  4.34196917e-02,\n",
       "               2.15911679e-03,  4.98252921e-04, -2.89798249e-02,  1.14265378e-02,\n",
       "              -2.23917956e-02,  1.64054427e-02,  6.49644970e-02, -7.60529786e-02,\n",
       "               1.43281510e-02,  4.57814271e-02, -2.77114736e-02, -2.42017042e-02,\n",
       "              -2.07744315e-02,  3.07425996e-03, -4.24736831e-03, -1.59214474e-02,\n",
       "              -4.48413689e-02,  1.66175384e-02, -6.16496149e-03, -3.84323709e-02,\n",
       "               3.07181720e-02,  7.78797287e-02, -5.61657157e-02, -2.89300559e-02,\n",
       "               1.59922416e-02, -3.95766408e-02, -7.36278368e-02,  8.33619386e-02,\n",
       "              -4.21385700e-02,  1.00390714e-01, -4.50716005e-03, -8.81343931e-02,\n",
       "               1.31698819e-02,  9.95253888e-03, -2.41498612e-02, -6.15605954e-02,\n",
       "               1.68853626e-02,  6.26490284e-02, -3.79183094e-02,  5.61880078e-02,\n",
       "               4.24244404e-02,  2.08048287e-02,  4.08402020e-02,  4.02760124e-02,\n",
       "              -7.00519811e-02, -4.90846019e-02, -1.03381343e-01,  2.05296585e-02,\n",
       "              -1.18802432e-02,  2.26088520e-02,  2.82060346e-02, -7.95740150e-02,\n",
       "               6.04668967e-02,  8.90718624e-02, -1.61899254e-03,  8.87379088e-02,\n",
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       "              -3.18082133e-02,  3.27765634e-02,  1.52935348e-02,  2.82795150e-02,\n",
       "              -3.51327450e-02, -9.13172662e-02,  7.01885521e-02,  2.07998143e-02,\n",
       "               3.17015136e-02,  4.59535290e-02,  1.15093981e-02,  5.95517270e-03,\n",
       "              -1.52460299e-03, -8.40451010e-03, -7.30738547e-02, -3.89466994e-04,\n",
       "              -3.83096100e-02, -2.74190585e-02, -8.71579349e-03, -7.27836043e-03,\n",
       "               7.59389587e-02, -4.70865313e-02, -5.59187904e-02, -2.45637982e-02]),\n",
       "       array([ 2.80729178e-02,  9.16776014e-03, -2.40136730e-02,  7.92166889e-02,\n",
       "               3.40401521e-02,  1.99886020e-02,  6.09703548e-02,  6.91034906e-02,\n",
       "               3.65738329e-02, -5.81607614e-02,  4.99432813e-02, -1.42140943e-02,\n",
       "              -3.97046078e-02, -7.30460985e-02,  7.70050678e-02,  1.07075728e-02,\n",
       "               4.92902733e-02,  1.68209095e-02, -6.55529182e-02,  8.53961078e-03,\n",
       "               6.62051886e-03,  5.95775880e-02, -1.23064965e-05,  1.75880771e-02,\n",
       "              -6.15320727e-03,  2.14324391e-04,  1.18509226e-02, -5.38563710e-02,\n",
       "               7.32473028e-03, -9.99642424e-02, -4.11487110e-02,  2.08320778e-02,\n",
       "              -1.66318174e-02, -4.07204656e-02,  2.70752967e-02, -7.03319907e-03,\n",
       "              -1.08343605e-02,  4.75354902e-02,  2.52204756e-02, -3.74601311e-02,\n",
       "               1.49212666e-02,  2.89481948e-02, -7.90080987e-02, -7.95365572e-02,\n",
       "              -1.28093258e-01,  2.08296976e-03,  4.02567163e-03,  4.34157974e-02,\n",
       "               1.73416259e-02, -3.89820086e-02,  9.81855430e-02,  2.88532176e-02,\n",
       "              -4.55393286e-02, -1.08541269e-02,  2.13647913e-02, -2.03113125e-02,\n",
       "              -9.04686376e-02,  5.95083390e-03, -1.09007973e-02, -2.32141754e-02,\n",
       "              -4.51068087e-02,  9.78215039e-03,  4.49733399e-02,  4.52464893e-02,\n",
       "               5.01774065e-03, -4.57127206e-03, -2.89643814e-02,  7.15920329e-03,\n",
       "              -2.32535563e-02,  5.50565133e-02,  2.14134455e-02, -1.88327478e-02,\n",
       "              -3.12846762e-02, -4.75049512e-02,  1.63615714e-02,  2.49655255e-02,\n",
       "              -3.65771372e-02, -2.32881987e-02,  7.29528144e-02, -4.43747055e-02,\n",
       "              -3.37459967e-02, -3.73698771e-03, -8.18608459e-02, -5.23275658e-02,\n",
       "               8.86745006e-03, -3.14652957e-02, -3.59708248e-02, -2.59349346e-02,\n",
       "              -6.39737770e-02, -1.73076575e-02, -6.21260684e-02,  9.59080309e-02,\n",
       "              -6.63230533e-03, -2.07928307e-02,  3.62306088e-03, -4.37733135e-02,\n",
       "              -3.67684849e-03, -1.72221502e-02,  6.80487007e-02,  7.23149199e-02,\n",
       "              -4.39140419e-02, -2.50910814e-02, -3.77646182e-04,  6.86060567e-03,\n",
       "              -5.17734487e-02, -8.16066680e-03, -4.62576328e-02, -1.80771655e-02,\n",
       "               2.87283445e-02,  4.45609540e-03,  5.17836101e-02,  6.68602018e-02,\n",
       "              -8.59800372e-02, -1.41898105e-02, -3.19678914e-02,  7.46885370e-02,\n",
       "               1.29735328e-02, -3.98949357e-02,  9.00297910e-02,  3.12264338e-02,\n",
       "              -4.07881765e-02, -1.08785289e-02,  2.82390666e-02, -4.64648511e-02,\n",
       "              -4.15127631e-03,  4.20889251e-02,  2.05030157e-02,  9.32911783e-03,\n",
       "              -1.57790114e-02,  8.52093846e-03, -5.39571233e-02,  1.86208636e-02,\n",
       "              -6.47308594e-02,  1.91970901e-02, -7.84849226e-02, -3.48950204e-02,\n",
       "              -5.17551731e-02,  1.41312517e-02, -7.77550424e-02, -1.90558964e-02,\n",
       "               6.32237121e-02, -3.36267152e-02, -6.77624531e-03,  4.44715638e-02,\n",
       "               7.84348547e-02, -2.15186873e-02, -8.54509361e-02, -2.24042167e-02,\n",
       "               2.59136381e-02,  3.56714893e-03, -6.25273548e-02,  1.71409193e-02,\n",
       "               4.98269926e-02,  3.54510401e-02, -7.15015177e-02, -3.02573475e-02,\n",
       "               1.54503018e-02, -1.89926401e-02,  4.03447032e-02,  8.54798071e-02,\n",
       "               2.54773395e-03,  7.12068225e-02, -4.23078425e-03, -4.30040359e-02,\n",
       "              -2.38813263e-02, -4.58099199e-02, -4.88705849e-02, -9.92007204e-03,\n",
       "              -6.88197687e-02,  8.15527886e-02,  7.08018038e-02, -3.04519329e-02,\n",
       "              -1.03287842e-01, -1.53649971e-03,  3.77788858e-02,  2.37767231e-02,\n",
       "               7.51487687e-02, -6.10523615e-02, -1.97562107e-02,  2.51529571e-02,\n",
       "              -5.72951250e-02, -2.16052681e-03,  1.00725722e-02, -5.28605012e-02,\n",
       "               7.12830126e-02,  4.83806841e-02, -1.88230204e-02, -3.17958007e-02,\n",
       "              -3.83170666e-02,  3.32713015e-02,  1.87779739e-02,  6.61208481e-02,\n",
       "              -6.77406751e-02,  1.76552092e-02,  3.09070293e-02,  5.30943656e-02,\n",
       "               1.46680512e-03, -2.16549067e-02, -1.03015736e-02, -5.36700878e-02,\n",
       "               6.43453610e-02,  6.14693575e-02, -3.65203805e-02, -3.95007385e-02,\n",
       "               4.10048496e-02, -9.45130922e-03, -6.75736461e-02, -1.79830956e-02,\n",
       "              -7.13585839e-02,  6.64795199e-02, -5.65383993e-02,  7.58079626e-02,\n",
       "               2.43586507e-02, -8.28628018e-02, -4.96312566e-02, -1.01561174e-02,\n",
       "               1.48717095e-02,  1.05990038e-02,  3.75916250e-04,  7.08263535e-02,\n",
       "              -1.25914644e-02, -5.06086834e-02,  3.64196673e-03,  2.33767456e-02,\n",
       "               1.30857220e-02, -1.42541500e-02, -2.07300228e-02,  3.13759018e-02,\n",
       "               4.27972358e-02, -4.99573015e-02,  3.62378964e-02,  2.62125043e-02,\n",
       "              -1.20285373e-01, -2.34334939e-02,  4.13345988e-03, -8.43748208e-02,\n",
       "               4.80928291e-02, -3.62173468e-03,  2.41890922e-03, -1.96044808e-02,\n",
       "               3.22811035e-02, -5.99577441e-03, -1.53872507e-02,  7.19931349e-02,\n",
       "              -9.76909660e-02,  3.58386394e-02,  6.36558873e-02,  1.08346175e-02,\n",
       "               7.02252686e-02, -2.90971529e-03,  3.12067568e-04, -6.46452336e-02,\n",
       "               6.41345344e-02,  1.13616241e-02,  8.18436486e-02, -3.20133800e-02,\n",
       "              -3.78045123e-02, -1.44570041e-02,  1.54441027e-02, -2.12120630e-02,\n",
       "              -3.87022039e-02, -7.33511075e-02, -7.97300376e-02,  1.85463408e-02,\n",
       "              -2.97884345e-02,  6.86920895e-02, -5.90141956e-03, -4.20947452e-02,\n",
       "               2.50003375e-02,  2.66109146e-02,  4.63416362e-02,  1.18386867e-02,\n",
       "              -1.24179441e-02,  1.32903680e-02, -3.06639383e-02, -2.57039280e-02,\n",
       "               1.94421101e-02, -4.94270227e-02, -8.29587635e-02,  7.10732546e-02,\n",
       "              -2.44050529e-02,  1.57923796e-02,  9.82376374e-03, -3.32294237e-02,\n",
       "              -4.10257103e-02,  7.35036060e-02, -1.11736394e-02,  6.88871127e-02,\n",
       "              -4.45680320e-03, -4.37738557e-02,  2.50407234e-02, -8.17612372e-03,\n",
       "              -6.38853684e-02, -1.27850620e-02, -3.46466368e-02,  8.32434744e-04,\n",
       "               5.31252578e-02, -6.79758018e-02, -4.14849422e-02, -3.35576618e-02]),\n",
       "       array([ 0.05103134, -0.04226712, -0.03204021,  0.05626109, -0.0710133 ,\n",
       "               0.05827241,  0.02329928,  0.05470811, -0.06244461, -0.10584123,\n",
       "               0.0811833 , -0.0699006 , -0.02409071, -0.01382756,  0.05931   ,\n",
       "              -0.01304046,  0.01796605, -0.03191797,  0.01912063, -0.01369418,\n",
       "              -0.02703778, -0.00066347, -0.05773514, -0.01433455,  0.04505294,\n",
       "               0.04408501,  0.04838618, -0.0592619 ,  0.02541061,  0.00086114,\n",
       "               0.08458063,  0.00589201, -0.00359027,  0.01286372,  0.01374921,\n",
       "               0.03366925,  0.04085146, -0.01311245, -0.01417087, -0.02626424,\n",
       "              -0.02211238,  0.01378336,  0.0054214 , -0.09225897, -0.00096581,\n",
       "               0.03069044, -0.00834239, -0.00700152, -0.04381446,  0.04030992,\n",
       "              -0.06256619,  0.07072235, -0.00798601, -0.08555802,  0.00399884,\n",
       "              -0.00363717, -0.07805509, -0.04487872, -0.00917224, -0.03274993,\n",
       "              -0.09986469,  0.01873314,  0.04652495, -0.0101615 ,  0.00454045,\n",
       "              -0.0496021 , -0.05743598,  0.04621137,  0.03225049, -0.02975869,\n",
       "              -0.06699425, -0.03349449,  0.00342638, -0.05170325, -0.01607765,\n",
       "               0.02971443, -0.10248213, -0.0271675 , -0.06569814, -0.01744438,\n",
       "              -0.03975923, -0.03507317, -0.08581252, -0.04557779,  0.04402671,\n",
       "              -0.08476363, -0.1242917 , -0.00918712,  0.02259204, -0.02601159,\n",
       "               0.0198474 ,  0.07465114,  0.04313563, -0.04955349,  0.05671019,\n",
       "               0.04276349, -0.01198626,  0.03752406,  0.01286177,  0.05575316,\n",
       "              -0.01370064, -0.07546807, -0.04713689, -0.02366781,  0.02057342,\n",
       "              -0.0295905 ,  0.03081109,  0.0701702 ,  0.04133792,  0.01975878,\n",
       "               0.06482048,  0.04467485, -0.10108761,  0.00886171, -0.04116424,\n",
       "               0.05102767, -0.00969546,  0.03835301,  0.10614065,  0.03983996,\n",
       "               0.00410149, -0.04860632,  0.00659596, -0.05390419,  0.00276467,\n",
       "              -0.03443082, -0.03854922,  0.00767333, -0.05458698,  0.0235158 ,\n",
       "              -0.04737476,  0.03220755, -0.02002542,  0.02731564, -0.09081763,\n",
       "               0.00546688, -0.00113036, -0.0227836 , -0.0724888 ,  0.006659  ,\n",
       "               0.03025661,  0.04299998, -0.05549981,  0.11608939, -0.00962483,\n",
       "              -0.00104984, -0.08139247, -0.00216077, -0.02176294,  0.07180645,\n",
       "              -0.06352424,  0.02459209, -0.08944206, -0.00250581, -0.03123723,\n",
       "              -0.04228708, -0.00836557,  0.0264279 , -0.00567507,  0.02055972,\n",
       "              -0.01374564,  0.02265562, -0.02488533, -0.01757733,  0.01185058,\n",
       "               0.0010566 , -0.02880144,  0.00852056, -0.02746848,  0.03762482,\n",
       "               0.0148778 , -0.02956169,  0.01274866, -0.08312147,  0.05740991,\n",
       "              -0.00288596, -0.00469165, -0.03084601,  0.00793426, -0.01165493,\n",
       "               0.03577236,  0.09060852,  0.06295646,  0.0162981 , -0.04167258,\n",
       "              -0.01385408, -0.06957143, -0.00445511, -0.05652233,  0.06375262,\n",
       "              -0.06598962, -0.0138769 , -0.03328133, -0.02213937,  0.0303966 ,\n",
       "               0.04009157,  0.05375982,  0.0398779 ,  0.00622609, -0.0302342 ,\n",
       "               0.07314862, -0.02469774, -0.01476895, -0.01923844, -0.01164078,\n",
       "               0.04255652, -0.0285966 , -0.06486925, -0.1018958 ,  0.03908773,\n",
       "               0.00205192,  0.03027533,  0.00461188,  0.05322907,  0.05415819,\n",
       "              -0.02909947, -0.01503761,  0.09131659, -0.10203705,  0.05791224,\n",
       "              -0.02126437,  0.02346054,  0.04987181, -0.01416647,  0.02605999,\n",
       "               0.03960701, -0.0338519 , -0.01911363,  0.03436718, -0.04003232,\n",
       "               0.03007378,  0.00878667, -0.03824153,  0.01203513, -0.08356155,\n",
       "              -0.0348286 ,  0.04368822, -0.02435837, -0.10374925, -0.04616422,\n",
       "               0.02167129, -0.01608895, -0.04248551,  0.09911198, -0.06243241,\n",
       "               0.10536391,  0.04620118,  0.04169622, -0.04092107, -0.03600369,\n",
       "              -0.01305935, -0.05650777,  0.00880044, -0.02438877,  0.04494833,\n",
       "              -0.10845477,  0.00998739,  0.01824052,  0.05371223,  0.02299367,\n",
       "              -0.02686369, -0.01098474, -0.08241049, -0.0264065 , -0.02695483,\n",
       "              -0.02059187,  0.01993288,  0.04408792,  0.01349557, -0.04421763,\n",
       "               0.01269807, -0.01570563,  0.0131676 , -0.04541583, -0.0662566 ,\n",
       "              -0.13034055,  0.03844122,  0.05515438,  0.048873  ,  0.03599846,\n",
       "              -0.07897304, -0.02957151, -0.03183853,  0.00437605,  0.0431132 ,\n",
       "               0.06686744, -0.00156998,  0.00850047, -0.00339246,  0.01007976,\n",
       "               0.07876697,  0.08239341,  0.00200501, -0.01491093,  0.00169624,\n",
       "              -0.06403835, -0.00686445, -0.04388404, -0.07126354,  0.00368907]),\n",
       "       array([ 1.77792003e-02, -7.73247741e-02, -5.58232404e-02,  1.17945727e-02,\n",
       "              -2.35461337e-02,  4.63148011e-02, -4.57273598e-02,  4.14375788e-02,\n",
       "               1.52474605e-02, -7.62082050e-02,  9.60031711e-02,  4.93602585e-02,\n",
       "              -7.44025093e-02, -8.21134495e-02,  1.28014788e-01,  2.21993383e-02,\n",
       "               7.31088817e-02,  4.18076077e-02, -2.38169869e-02,  4.25653439e-02,\n",
       "               3.02187800e-02,  5.22946157e-02, -1.81096019e-02,  4.07511424e-02,\n",
       "               2.59527531e-02,  6.46575019e-02,  2.20135245e-02, -6.91696052e-02,\n",
       "              -4.94289398e-03, -1.75373396e-02,  3.29901092e-03,  3.53654805e-02,\n",
       "               4.13643885e-02,  3.24470601e-02,  5.94146941e-02,  4.48176940e-02,\n",
       "              -1.70231611e-03,  3.58442049e-02, -5.90366442e-02, -5.84220593e-02,\n",
       "              -1.71761643e-02, -4.38383110e-02,  4.96062841e-02, -3.00266678e-02,\n",
       "              -7.61435349e-02, -2.67087212e-02,  1.50652616e-02,  4.64015454e-02,\n",
       "               9.93823446e-03,  5.30159632e-02, -6.52023796e-02,  2.17213081e-02,\n",
       "              -6.73324754e-03,  9.87844961e-03, -6.89317053e-02,  3.18196323e-03,\n",
       "              -4.97093094e-02, -1.70302922e-02,  2.78632599e-02,  2.58473237e-02,\n",
       "              -1.22516390e-01, -3.33129881e-02,  3.53004225e-02, -1.15164123e-02,\n",
       "               8.90449397e-02,  1.31331608e-02, -1.42334730e-02,  5.11657540e-02,\n",
       "               2.42044497e-02,  1.48031132e-02, -1.44660540e-02, -1.18902274e-02,\n",
       "               1.32751456e-02, -4.44460474e-03,  2.80428808e-02, -3.28256898e-02,\n",
       "              -5.73017113e-02,  7.46541843e-02, -1.18129570e-02, -3.51624154e-02,\n",
       "               8.15321058e-02, -4.37695999e-02, -3.98573587e-02,  2.82123461e-02,\n",
       "              -1.20660756e-03, -7.27153057e-03, -8.71926285e-02,  9.54916095e-03,\n",
       "              -1.03740706e-01, -2.86459359e-02,  2.54033506e-03,  4.31737471e-02,\n",
       "              -2.28802115e-02, -7.37164263e-02, -1.57366451e-02, -2.22041402e-02,\n",
       "               3.55573604e-02,  1.21023133e-02,  2.58691178e-02,  7.81165957e-02,\n",
       "               2.53992155e-03, -3.83610083e-02, -3.63956951e-03, -3.88365705e-03,\n",
       "               1.02240969e-02, -4.27225605e-03, -1.06483344e-02, -3.90038062e-02,\n",
       "               4.61540823e-02,  1.12031719e-02,  4.86373538e-02, -4.98684403e-03,\n",
       "              -3.61127434e-02, -4.07818761e-02, -1.22724101e-02,  1.73990782e-02,\n",
       "               3.05348076e-03,  7.08848014e-02,  5.66966832e-03,  2.07542190e-02,\n",
       "               6.12069499e-02, -7.17545114e-02, -1.36923459e-02, -9.48512852e-02,\n",
       "              -4.46491432e-03,  9.19149183e-02, -3.26383123e-02,  1.25445230e-02,\n",
       "              -5.78173874e-02,  1.19448930e-01, -3.11543064e-02,  3.98374721e-03,\n",
       "              -3.64125343e-02,  2.24738074e-02, -1.83830097e-01,  2.48573432e-02,\n",
       "              -8.50313138e-02,  6.15704376e-02,  3.84849198e-02, -4.69177635e-03,\n",
       "               4.64726146e-02,  4.18599928e-03, -4.77358866e-02,  5.79596045e-02,\n",
       "               3.48055142e-02,  2.03455433e-02, -1.00620367e-01,  4.63362299e-02,\n",
       "               1.19933654e-02, -2.58015227e-02, -3.09466370e-02,  1.31683540e-01,\n",
       "              -6.33354858e-02,  2.95763938e-02,  4.50149830e-03, -2.23628711e-02,\n",
       "               3.35930279e-02, -3.46076572e-02, -2.10937457e-02,  5.43854050e-02,\n",
       "              -6.16714153e-02,  2.35849450e-02, -1.15955890e-02, -6.65392652e-02,\n",
       "              -4.31410018e-02, -1.81690222e-02, -4.08943724e-02,  1.80686074e-02,\n",
       "              -6.90919384e-02, -2.52678618e-03,  3.16428009e-02, -6.89530699e-03,\n",
       "               4.62644263e-02, -2.12851260e-02,  9.38366931e-02,  4.50350260e-02,\n",
       "               4.79507889e-02,  6.31234981e-03, -2.08056262e-02, -2.65258833e-02,\n",
       "              -1.04334600e-01,  5.98537140e-02,  4.17281017e-02, -6.58831233e-02,\n",
       "              -2.54859047e-02, -8.52005242e-03, -5.86196063e-02,  3.26695014e-02,\n",
       "              -3.60203660e-02,  2.06604297e-02,  3.16151790e-03,  8.37231930e-02,\n",
       "              -4.08269502e-02,  5.10280300e-03,  5.68770617e-03,  4.89166006e-03,\n",
       "               1.26280637e-02, -3.86158512e-02, -9.92554647e-04,  3.39597464e-05,\n",
       "               6.03739750e-02,  3.08476293e-02, -7.79300462e-03, -7.20722787e-02,\n",
       "               1.17210299e-02, -2.19076779e-02, -1.17322527e-01, -4.56608012e-02,\n",
       "              -1.09155998e-01,  3.25027239e-02, -4.07523615e-02,  5.96499145e-02,\n",
       "              -5.63830631e-02,  1.38013691e-02,  4.55441363e-02, -3.98684945e-03,\n",
       "              -2.46910928e-02,  5.42989224e-02, -2.94848366e-02,  5.22760917e-02,\n",
       "               4.51538991e-02, -1.98801053e-02,  2.15992685e-02, -1.90755725e-03,\n",
       "               6.00481648e-02,  2.36232737e-02, -5.73093817e-03, -4.76718210e-02,\n",
       "               3.00970189e-02,  4.53861293e-03, -1.49588659e-02, -5.63867018e-03,\n",
       "              -8.16892982e-02, -1.15345623e-02, -2.71743480e-02, -4.79929168e-02,\n",
       "               4.14617884e-02,  4.09055557e-02, -7.53232278e-02, -1.03708018e-01,\n",
       "               3.07039730e-03,  4.30343100e-02, -4.21351120e-02,  6.74147159e-02,\n",
       "              -8.40488737e-02,  1.31566014e-01,  3.09836771e-02, -1.10625429e-01,\n",
       "               3.52761527e-02, -3.31901750e-02, -3.70897579e-02,  1.65145472e-03,\n",
       "              -3.07575626e-02, -4.02265063e-02,  3.41777503e-03, -7.77726397e-02,\n",
       "               1.07508100e-02, -4.30201478e-02,  1.63266066e-02,  2.96694017e-03,\n",
       "              -5.23132235e-02, -1.69133767e-03, -4.25197911e-02,  1.51354696e-02,\n",
       "              -4.73998934e-02, -4.48978972e-02, -9.75886360e-05,  1.23214889e-02,\n",
       "               6.12488128e-02, -1.81509135e-02, -2.27983519e-02,  2.46890055e-02,\n",
       "               8.80217808e-03, -8.85349256e-03, -5.73861599e-02, -5.40989940e-02,\n",
       "               2.30676401e-02, -1.52203869e-02,  5.21008726e-02, -6.97832461e-03,\n",
       "              -5.61411232e-02, -1.51688196e-02, -3.89862591e-02, -5.58012687e-02,\n",
       "               1.01420330e-02,  8.87677073e-04,  5.92986271e-02,  8.48339796e-02,\n",
       "               3.89826989e-02, -2.24784506e-02, -1.49991829e-02,  6.07860200e-02,\n",
       "              -1.70009289e-02,  2.00581681e-02, -1.00349459e-02,  2.53641568e-02,\n",
       "              -4.57159430e-03, -7.44208228e-02, -9.84600820e-02, -1.81575967e-02]),\n",
       "       array([ 5.59420590e-02, -6.00385177e-03, -3.48423393e-02,  2.37779708e-02,\n",
       "              -1.46346898e-02,  3.36168818e-02, -1.87814168e-02,  7.87359951e-02,\n",
       "               6.05172664e-03, -6.26555020e-02,  5.56105468e-02, -2.89690174e-02,\n",
       "              -6.41051680e-02, -5.63028520e-02,  6.18223725e-02,  1.85701623e-02,\n",
       "               2.44574968e-02,  1.26849243e-02, -1.22284284e-02,  7.58083770e-04,\n",
       "               2.73019609e-02,  4.51100641e-04, -6.49702931e-02, -3.15989659e-03,\n",
       "               7.34634604e-02,  5.99449039e-02, -3.06237065e-02, -3.48313204e-02,\n",
       "              -3.40135950e-03, -2.49242783e-02,  3.48919560e-02,  2.83924341e-02,\n",
       "               4.49843080e-02, -4.35994472e-03,  6.04687729e-02,  6.66430430e-03,\n",
       "               5.13498671e-04,  7.95729943e-02, -4.20030996e-02, -3.20902155e-02,\n",
       "               1.95063127e-03, -1.50068984e-02, -2.32427588e-02, -8.11374802e-02,\n",
       "              -6.32212141e-02,  1.77493552e-02,  1.60384644e-03, -1.47745013e-04,\n",
       "               2.15250296e-02,  3.62272025e-02, -2.42562887e-02,  3.22581409e-03,\n",
       "              -6.53562744e-02,  9.37919365e-03,  3.61137968e-02,  1.03572556e-02,\n",
       "              -4.91246167e-02, -8.14092467e-02,  2.53090295e-02,  2.73354929e-02,\n",
       "              -1.14737935e-01,  1.63565408e-02, -1.03003384e-02,  5.53021654e-02,\n",
       "               2.46792944e-02, -6.98627997e-03, -3.68666435e-02, -9.31150047e-03,\n",
       "               2.52249292e-02, -1.53153345e-02, -4.23732055e-02,  3.99029802e-03,\n",
       "               8.14566389e-02, -6.07880075e-03,  4.52396761e-02,  1.24598958e-02,\n",
       "              -8.37401021e-02, -4.14430705e-02, -2.16971689e-02, -3.82083235e-03,\n",
       "              -2.54192516e-02, -1.39031615e-03, -7.06173982e-02, -9.49353632e-03,\n",
       "              -9.75150941e-03,  1.39238829e-02, -8.78168680e-02,  1.12769899e-02,\n",
       "               1.68227723e-02, -5.42667384e-02,  1.69733527e-02,  8.13441013e-02,\n",
       "              -1.53483562e-02, -3.36625231e-02,  6.52365452e-02, -3.29788947e-02,\n",
       "               1.62681534e-02,  4.71176631e-02,  8.33109347e-02,  4.42201658e-02,\n",
       "              -3.74745307e-02, -4.58516707e-02, -4.19877775e-02, -1.30133368e-02,\n",
       "              -1.00881653e-03, -2.20071073e-02, -1.77571736e-03,  2.41169468e-02,\n",
       "               6.19766470e-02,  1.29911723e-02,  1.62800078e-02,  4.29075451e-02,\n",
       "              -7.17464676e-02, -4.39017196e-03, -3.14327907e-02, -1.93872782e-02,\n",
       "              -5.64632319e-02,  1.39997909e-02,  3.29812057e-02,  6.70830999e-02,\n",
       "               9.68400866e-03, -3.69845557e-02,  2.34027114e-02, -6.52177781e-02,\n",
       "              -4.70493159e-02,  4.69477654e-02, -3.01994890e-02,  3.42277731e-02,\n",
       "              -6.45293281e-02,  4.75376784e-02, -6.50367998e-02,  1.24890103e-02,\n",
       "              -1.74030811e-02,  6.61560148e-03, -6.60211570e-02, -9.50426492e-03,\n",
       "               1.92844331e-02,  2.45535077e-02, -2.30033998e-02, -1.72576026e-02,\n",
       "               2.51313967e-02,  3.96873815e-02, -3.86504601e-02,  9.36104432e-02,\n",
       "               5.24806120e-02, -1.03510365e-02, -1.02296792e-01,  5.96234777e-02,\n",
       "              -1.09601982e-02,  4.70572482e-02, -6.54260428e-02,  1.54600766e-01,\n",
       "              -4.70857969e-02, -4.33082000e-03,  1.70898833e-03, -1.74224821e-02,\n",
       "               1.33058671e-02, -7.32487375e-02,  1.71875976e-02,  4.17463571e-02,\n",
       "              -9.95963346e-03,  2.25609766e-02, -2.18757265e-02, -1.98325509e-02,\n",
       "              -6.04719622e-03,  3.48355859e-02, -5.30445185e-02,  6.47186274e-02,\n",
       "              -5.45033733e-02,  4.65058214e-02,  3.93016192e-02, -6.26766719e-02,\n",
       "              -3.11627956e-02, -4.41832864e-02,  8.22630823e-02,  7.11441268e-02,\n",
       "               5.29011143e-02, -1.78004520e-02, -1.21516623e-02, -8.13340698e-03,\n",
       "               6.97371294e-03,  2.70439438e-02,  2.59765936e-02, -6.15507197e-02,\n",
       "              -7.57135786e-02, -2.19391941e-02, -9.29791648e-02,  4.08987375e-03,\n",
       "              -3.47780860e-02,  8.03759731e-02,  2.79971240e-02,  5.18404329e-02,\n",
       "              -3.54494725e-03, -5.05060577e-02,  4.55175107e-02, -9.14151978e-03,\n",
       "               3.71144917e-02,  1.94604683e-02,  3.84705863e-03, -2.79043852e-02,\n",
       "               1.24199458e-02, -3.92504699e-02, -4.67284466e-02, -2.87638518e-02,\n",
       "               3.10378289e-02,  3.35566391e-03, -6.01007538e-02, -3.28089823e-02,\n",
       "              -1.42789839e-01,  4.75822492e-02,  1.78453615e-02,  7.56831694e-02,\n",
       "              -2.90499340e-02,  1.07847989e-02,  7.28685921e-02,  2.29125842e-04,\n",
       "               1.32569047e-02,  6.80057965e-02, -6.29717899e-02,  3.38073437e-02,\n",
       "               3.06244101e-02,  5.24857051e-02,  6.16041407e-02, -1.48230120e-02,\n",
       "               2.82349063e-02,  3.31817316e-02, -5.59488172e-03, -5.29647713e-02,\n",
       "               3.13569605e-02, -5.30379482e-02, -7.01094704e-03, -1.43667229e-02,\n",
       "              -5.12985620e-02,  2.81579492e-02, -5.13272071e-02, -3.27536995e-02,\n",
       "               4.31590904e-02,  2.22638011e-03, -5.68026055e-02, -6.93727410e-02,\n",
       "              -3.90620157e-03,  7.40095414e-03, -3.67932307e-02,  3.54828802e-02,\n",
       "              -8.98695327e-02,  1.20601563e-01,  6.51449468e-02, -6.94884937e-02,\n",
       "              -4.91780937e-02, -3.17700477e-02, -2.33646187e-02, -4.21108830e-02,\n",
       "              -3.88417291e-02,  2.03052764e-02, -2.03829013e-02, -6.89186309e-02,\n",
       "               4.35991772e-02,  4.37384578e-02, -3.59250371e-02,  1.91721739e-03,\n",
       "              -3.88267776e-02,  3.33051840e-02, -7.19114877e-02, -4.37732232e-02,\n",
       "              -8.33280478e-03,  3.96160525e-03,  2.28075406e-02, -3.62978689e-02,\n",
       "               4.00935137e-02,  7.21846428e-03,  3.61950652e-02,  7.21953951e-02,\n",
       "               7.58357684e-03, -1.79018104e-02, -1.11137038e-01, -7.37895784e-02,\n",
       "              -1.94735867e-02, -1.49118593e-02,  3.64293208e-03,  2.00005778e-02,\n",
       "              -7.24769868e-02,  7.23860925e-03, -2.19525984e-02,  1.26461536e-02,\n",
       "              -3.02376240e-02,  3.31834706e-02,  2.56587971e-02, -3.90174836e-02,\n",
       "               1.66012639e-02, -1.65556615e-02,  4.76880744e-02,  3.26005702e-02,\n",
       "              -5.17849028e-02,  2.97070958e-02,  2.36682604e-03, -5.46464338e-02,\n",
       "               5.50825847e-04, -8.66130814e-02, -9.98768946e-02, -2.73847179e-02]),\n",
       "       array([ 9.46074476e-02,  1.79668196e-02, -2.59060748e-02,  2.33469860e-02,\n",
       "              -5.91888788e-02,  6.04333974e-02, -5.36961829e-02, -4.81693211e-02,\n",
       "              -6.97860246e-03, -2.26233867e-02, -1.21288598e-02, -7.16326321e-02,\n",
       "              -3.13651171e-02, -6.31492442e-02,  1.73961421e-02,  4.07616179e-02,\n",
       "               7.75097484e-02,  5.29710141e-02,  4.45307729e-02, -6.69973002e-03,\n",
       "               7.89003794e-02,  1.83892150e-02, -5.27771196e-02,  3.04707284e-02,\n",
       "              -5.86852664e-02, -1.32235095e-02,  2.71681538e-02, -3.09948971e-02,\n",
       "               3.32528166e-03, -3.80034164e-02,  6.61635126e-02,  1.07761256e-01,\n",
       "               8.30840195e-03, -8.05084767e-02, -1.44610973e-02,  2.22205849e-02,\n",
       "               4.14865992e-02,  6.29627177e-02, -4.86749833e-02,  1.20125189e-02,\n",
       "               1.57910259e-02, -8.03744892e-02, -9.21562376e-03, -1.36400387e-02,\n",
       "              -2.41688484e-02,  4.46162894e-02,  2.72662782e-02,  3.33505751e-02,\n",
       "              -4.75347415e-03, -2.29145416e-02, -3.73868812e-02,  2.45564029e-02,\n",
       "              -1.06147851e-01,  1.75705316e-02,  3.90249503e-02, -8.24321608e-02,\n",
       "               5.12086310e-02, -4.64067841e-02, -1.34368942e-02, -2.64253769e-02,\n",
       "              -8.58657900e-02,  2.66325449e-02, -9.13187986e-03, -7.62960874e-04,\n",
       "               6.59766169e-02, -7.99971703e-03,  2.07541126e-02,  2.86004444e-02,\n",
       "              -3.68350424e-02,  2.32338871e-02, -7.76745429e-02, -2.35983978e-02,\n",
       "              -3.43781939e-02, -5.02834003e-03, -4.84244125e-02, -3.13580353e-02,\n",
       "              -8.88723607e-02, -4.25216146e-02,  7.77007490e-02, -9.75567425e-02,\n",
       "              -9.70931662e-03, -1.81309134e-03,  1.92524182e-03, -1.18974402e-03,\n",
       "              -2.62431735e-02, -5.57173228e-02, -1.07517598e-01, -3.81999724e-02,\n",
       "               3.43212383e-02,  2.35956896e-02,  3.79575156e-02, -5.81104557e-03,\n",
       "              -5.28441305e-02, -4.98033848e-02,  7.60889923e-02, -5.44251564e-02,\n",
       "               9.91713380e-02,  5.26768931e-03,  3.21737110e-02,  3.38239232e-02,\n",
       "               7.06830683e-02, -1.64092868e-02, -7.45857684e-02, -8.90594162e-03,\n",
       "               4.49720075e-02,  1.39297297e-02,  1.55479542e-02, -7.78754714e-02,\n",
       "              -4.11422541e-02, -7.27473233e-02,  4.63991041e-02, -8.40763880e-03,\n",
       "              -6.40665924e-02, -6.71583079e-02, -8.11421486e-02,  3.34613634e-02,\n",
       "              -3.08760212e-02, -4.39237018e-02,  3.10243526e-02, -2.89789390e-02,\n",
       "               1.23707975e-02, -9.43801180e-03, -1.61458915e-02, -4.65805953e-02,\n",
       "               3.36336042e-03,  1.39444185e-02, -5.03021926e-02, -4.58936555e-02,\n",
       "              -4.46864665e-02,  4.62103486e-02, -5.27658199e-02,  3.39030915e-02,\n",
       "              -5.94125160e-03, -3.28975741e-02, -3.82543604e-02,  1.51198615e-02,\n",
       "              -4.90529525e-03, -4.80834016e-02, -7.09320977e-03,  2.61166381e-03,\n",
       "               3.75562844e-02, -1.69623850e-02, -3.95995838e-02,  4.33359612e-02,\n",
       "               9.25810784e-02,  3.04675611e-02, -3.27164326e-02,  5.11054484e-02,\n",
       "              -4.29712158e-03,  1.95575617e-02, -7.94736954e-02,  6.41464728e-02,\n",
       "               4.59558889e-03, -3.70601562e-02,  2.64301909e-02, -2.28026866e-02,\n",
       "              -4.13027963e-02, -4.33693329e-03,  4.75881871e-02,  3.32695522e-02,\n",
       "               4.87925857e-03, -1.18458904e-02, -5.50826304e-02, -1.03267493e-02,\n",
       "              -4.26102995e-02, -2.60871332e-02, -2.79419050e-02,  2.81895418e-02,\n",
       "              -4.14674073e-02,  1.69649191e-02,  3.62726753e-02, -3.65106119e-02,\n",
       "              -2.15891649e-02,  3.18903302e-02,  5.81091618e-02,  1.45125308e-02,\n",
       "               6.29330520e-02,  1.39672322e-02,  1.71364088e-02, -5.88651504e-02,\n",
       "               3.57845200e-02,  3.91553901e-02, -2.43416031e-02,  1.48293770e-02,\n",
       "               2.69134995e-02, -1.87277464e-02, -1.84069530e-02,  2.59640049e-02,\n",
       "              -4.63832651e-03,  4.07922609e-03,  5.85141058e-02,  6.48739475e-02,\n",
       "              -6.25742140e-02,  1.87250165e-02, -7.13244153e-03,  5.41806117e-02,\n",
       "               3.18375686e-02, -2.61266703e-02, -1.27389765e-02, -2.02940404e-03,\n",
       "               2.27724779e-02, -9.49908222e-02,  1.17769554e-03, -4.92116852e-02,\n",
       "              -7.52422611e-02, -7.83186080e-03, -2.32986733e-03, -2.07841831e-02,\n",
       "              -5.23084520e-02,  1.21918080e-03,  4.51294122e-02,  3.66819159e-02,\n",
       "              -2.37207788e-02,  2.86927706e-02,  1.59071170e-02,  6.83827450e-03,\n",
       "              -3.52927191e-02,  6.48512555e-02, -4.06248023e-02,  4.73072608e-02,\n",
       "              -1.53202241e-02,  1.08036300e-02,  3.98599853e-05,  2.95408151e-02,\n",
       "               5.97829322e-02, -5.32755887e-02, -3.52802239e-02, -1.94535897e-02,\n",
       "               8.79718239e-03, -3.95510911e-02,  3.50082014e-03,  1.21724028e-02,\n",
       "              -4.32107511e-02,  2.42347239e-02, -9.28405374e-02, -1.81380777e-02,\n",
       "              -1.26389715e-02,  2.22872468e-02, -4.96100243e-02, -9.95229011e-02,\n",
       "               7.38293088e-03, -7.33514574e-02, -2.67968878e-02,  2.42881794e-02,\n",
       "              -2.82387429e-02,  9.19665073e-02, -3.24747205e-02,  3.33941480e-03,\n",
       "               4.59024683e-02,  2.72775556e-02,  5.40518196e-02, -9.38342487e-02,\n",
       "               5.22585412e-02, -2.04877451e-02,  4.41262623e-02, -4.64630338e-02,\n",
       "               1.18996135e-01,  2.13089120e-02, -3.59321437e-02,  5.31553881e-02,\n",
       "              -9.56567004e-02,  1.78441908e-02, -6.69439447e-02, -2.36201764e-02,\n",
       "              -8.28661645e-03,  2.08548144e-02, -9.05289625e-04, -6.45816242e-02,\n",
       "              -5.12481990e-02, -2.26343630e-02,  1.69043935e-02,  2.92717169e-04,\n",
       "              -1.59765462e-02,  4.15104752e-03, -2.58884182e-02, -4.17800946e-03,\n",
       "               3.47385872e-02, -1.46490904e-02,  5.31484801e-02,  4.00618762e-02,\n",
       "              -3.44739053e-02, -6.54332992e-02, -7.82435946e-02, -1.26846147e-02,\n",
       "              -2.82231259e-02, -2.01426741e-03,  3.19458678e-02,  5.01948600e-02,\n",
       "               3.11464111e-02, -1.88661801e-03, -1.29781856e-02,  5.22127443e-02,\n",
       "              -6.37876168e-02, -7.71770359e-03,  1.27638740e-02, -4.49264857e-03,\n",
       "               3.53854050e-02, -4.54644704e-02, -6.00258826e-02, -6.30042851e-02]),\n",
       "       array([-0.009307  , -0.0458291 ,  0.00419434,  0.06219154,  0.0146607 ,\n",
       "               0.05413727, -0.02961626,  0.05073225, -0.02815607, -0.04015866,\n",
       "               0.04290049, -0.02529742, -0.0259441 , -0.09722632,  0.09646858,\n",
       "               0.03163703,  0.01397673,  0.01250801,  0.0329619 , -0.02334706,\n",
       "               0.03595363,  0.0474886 , -0.07553783,  0.00694182,  0.0604121 ,\n",
       "               0.01560619, -0.05804868,  0.03348892, -0.06248454, -0.0237123 ,\n",
       "               0.06048095,  0.0436281 ,  0.01699257, -0.00557662,  0.06673452,\n",
       "               0.01586204,  0.04699604,  0.08283101, -0.05981393,  0.01268143,\n",
       "               0.00372314, -0.05160264,  0.00831372, -0.08104785, -0.05938558,\n",
       "              -0.00166537,  0.05070407,  0.01987733, -0.06830192,  0.03172519,\n",
       "              -0.06166628, -0.01909734, -0.07049991,  0.04768516,  0.02683767,\n",
       "              -0.00136036, -0.08776993, -0.05582322,  0.04510814,  0.02985615,\n",
       "              -0.11537684,  0.03021839,  0.05365005,  0.04980281,  0.00776659,\n",
       "               0.00553985,  0.01563336,  0.04427533, -0.02244938, -0.01084516,\n",
       "              -0.05668614, -0.01300412, -0.00371884, -0.04000455,  0.04036885,\n",
       "               0.06089369, -0.04596661, -0.02765169,  0.03804279,  0.00845983,\n",
       "              -0.06976024, -0.00735739, -0.03496535, -0.03069651, -0.0392507 ,\n",
       "               0.00628212, -0.06960036,  0.01888804, -0.00548222, -0.03943788,\n",
       "               0.03041522,  0.03852804, -0.08353574, -0.03679091,  0.03601311,\n",
       "              -0.03982294, -0.02867146,  0.01081986,  0.05151513,  0.01815982,\n",
       "               0.00195839,  0.00831163, -0.05592895, -0.03195741, -0.01138573,\n",
       "              -0.02160638, -0.03423585,  0.01443128,  0.02530648,  0.02064295,\n",
       "               0.048481  ,  0.00743617, -0.03599871,  0.02838041, -0.02080462,\n",
       "              -0.03947186, -0.05468036,  0.00721509,  0.0041756 , -0.01160516,\n",
       "               0.02056775, -0.03410266,  0.01559156, -0.03833226, -0.01936964,\n",
       "               0.03934397, -0.04266819,  0.04129168, -0.04917272,  0.03138119,\n",
       "              -0.06208553, -0.01331063, -0.0824011 , -0.01500624, -0.05793107,\n",
       "              -0.04048575,  0.0206568 ,  0.00529583,  0.02731617,  0.02625271,\n",
       "               0.01867488,  0.04899117, -0.03239396,  0.10668126,  0.04418175,\n",
       "              -0.0028763 , -0.07653193,  0.04875538,  0.05101433,  0.0285309 ,\n",
       "              -0.06292417,  0.11912249, -0.02629631, -0.00805746,  0.04918793,\n",
       "              -0.06093169, -0.01967437, -0.07420296, -0.01092714,  0.01041029,\n",
       "              -0.03559921,  0.00552709, -0.04520114, -0.03279504, -0.001784  ,\n",
       "              -0.01587892, -0.06463762,  0.02399842,  0.00940605,  0.03115261,\n",
       "               0.03920455, -0.04930013, -0.04191171, -0.02202046,  0.10713815,\n",
       "               0.11303943,  0.0928264 ,  0.00587736,  0.03549524, -0.03751348,\n",
       "              -0.05297677,  0.03851704, -0.00936796, -0.03707151, -0.10075583,\n",
       "              -0.00608971,  0.00522665,  0.0324334 , -0.07811552,  0.05168429,\n",
       "               0.07505185,  0.09514172, -0.00816442, -0.04958096,  0.0426418 ,\n",
       "              -0.01861378,  0.06719949,  0.03929159,  0.03344896, -0.00027007,\n",
       "               0.01748183, -0.01563891,  0.00763644, -0.04853293, -0.04075603,\n",
       "              -0.02259523, -0.04349863, -0.02828606, -0.10063976,  0.02252729,\n",
       "               0.00887968,  0.02210596, -0.02744648, -0.0248538 ,  0.07046501,\n",
       "               0.043578  ,  0.02485828,  0.0122056 , -0.0225487 , -0.00111306,\n",
       "               0.0326953 ,  0.0182287 ,  0.01562707, -0.03971416,  0.00895835,\n",
       "              -0.00710539, -0.04757746, -0.02251142,  0.02072533, -0.02091631,\n",
       "              -0.00535119, -0.0392574 , -0.06555797,  0.01206017, -0.00754244,\n",
       "              -0.03463036,  0.0526438 ,  0.03003543, -0.08796728, -0.04624915,\n",
       "               0.0139717 , -0.01355853, -0.05621383,  0.07638631, -0.03920544,\n",
       "               0.0566157 ,  0.04716411, -0.09549023, -0.0507795 , -0.04740227,\n",
       "               0.03872642, -0.01207881,  0.0110019 , -0.00157269, -0.02852735,\n",
       "              -0.03281099,  0.04740021, -0.00649861,  0.02661556,  0.04840611,\n",
       "              -0.08433538,  0.04610055, -0.05270334,  0.02784832,  0.01555956,\n",
       "               0.01832866,  0.04579861, -0.03930665, -0.00314786, -0.0183518 ,\n",
       "               0.051765  ,  0.00613865,  0.0486829 ,  0.03652196, -0.08794857,\n",
       "              -0.01825442, -0.00662359, -0.06146116, -0.00210752,  0.01480238,\n",
       "              -0.06176685, -0.00748638, -0.01640362,  0.02608876, -0.05817967,\n",
       "              -0.00923977,  0.06782647, -0.05644131,  0.02650351, -0.07114024,\n",
       "              -0.025854  ,  0.01118262, -0.02924926,  0.02549274,  0.03628554,\n",
       "              -0.02044731,  0.0470898 , -0.07889131, -0.02668315, -0.0469224 ]),\n",
       "       array([ 2.84300069e-02, -1.31810543e-02,  4.88988897e-02,  6.54331153e-02,\n",
       "               8.66536936e-03, -1.85819450e-02, -1.73927797e-03,  2.26190239e-02,\n",
       "               1.49593128e-02, -4.07617129e-02,  1.29750432e-01, -2.96728039e-02,\n",
       "               5.25663341e-02, -6.12068004e-02,  6.58746977e-02, -6.98746083e-03,\n",
       "               3.06479561e-02,  1.69415101e-02,  1.02892597e-02, -3.63019037e-02,\n",
       "              -1.41198914e-02, -1.28432575e-02, -1.75299839e-02,  2.25368451e-02,\n",
       "               4.20788855e-02, -2.95454598e-02,  1.93455701e-02, -1.13098146e-02,\n",
       "              -5.24923578e-03, -3.31554941e-02,  6.11009845e-03,  8.78260555e-02,\n",
       "              -1.37501080e-02,  9.79353162e-02, -8.83491710e-03, -1.43740480e-02,\n",
       "               1.38133554e-02, -2.27780386e-02, -8.40196870e-02,  2.11505685e-03,\n",
       "               4.81550817e-02, -2.18854104e-02,  1.27086486e-02, -9.30462517e-02,\n",
       "               1.25274267e-02, -7.29748409e-02, -2.83870297e-02,  1.07754553e-02,\n",
       "               6.47613355e-02, -6.62645926e-02, -1.56182955e-02,  9.31946840e-03,\n",
       "               4.11749026e-03, -4.28712264e-02,  2.32106471e-02, -1.40205305e-02,\n",
       "              -5.62074613e-02, -5.15548079e-02, -3.73105961e-02,  2.84292130e-02,\n",
       "              -8.02138690e-02,  2.59609579e-02, -2.45981686e-02, -3.50168804e-02,\n",
       "               4.98789959e-02,  8.78370809e-03, -7.08447378e-02,  2.49791890e-04,\n",
       "              -2.52026202e-02,  4.90853381e-02, -2.78091528e-02,  8.39639595e-03,\n",
       "               1.93022420e-02, -3.51892928e-02,  6.03238018e-02,  5.89544820e-02,\n",
       "               3.36678055e-03,  6.61046221e-03,  4.18781876e-02,  1.39838606e-02,\n",
       "              -8.61374475e-02,  6.13711266e-02, -3.60248454e-02,  2.26652208e-02,\n",
       "              -5.59735079e-02, -1.18768681e-02, -3.76647040e-02, -4.95312456e-03,\n",
       "               1.35125774e-02, -2.77880132e-02,  1.44731636e-02,  1.16144691e-02,\n",
       "               1.15578366e-03, -7.02879392e-04,  7.17230225e-02, -1.05937660e-02,\n",
       "              -3.70276440e-02,  5.30631570e-02, -7.57086213e-03, -1.72988488e-02,\n",
       "              -1.49858918e-02,  2.22128080e-02, -6.26271358e-03, -4.15178253e-02,\n",
       "               3.42036642e-02, -6.14589371e-02,  2.48920755e-04, -3.05970106e-02,\n",
       "               5.76080312e-03,  3.24917668e-02,  2.95058514e-02, -3.12872468e-02,\n",
       "               1.09666019e-02,  2.30892512e-02, -2.95072072e-02, -2.01455583e-02,\n",
       "              -1.85637637e-02,  1.18066721e-02, -1.45280177e-02, -6.32151240e-02,\n",
       "               5.74387652e-02, -1.89358843e-02, -2.85076145e-02, -2.53056702e-02,\n",
       "              -3.26881841e-02, -1.26748134e-02, -3.75211327e-02, -2.81571824e-02,\n",
       "               1.76677261e-02, -8.30730273e-02, -1.98364216e-02,  4.87985206e-02,\n",
       "              -3.57822073e-02, -1.32199898e-02, -2.70761922e-02, -1.33187256e-02,\n",
       "               1.18285941e-02, -5.44491981e-02, -5.05981999e-02,  8.98588845e-03,\n",
       "              -3.92607227e-02,  1.16095906e-02, -2.84586134e-02, -3.54307182e-02,\n",
       "               3.22921309e-02, -4.89770565e-02, -5.47204495e-02,  2.02368702e-02,\n",
       "               3.96267638e-02, -1.17206024e-02, -2.86937756e-02,  7.46011520e-02,\n",
       "              -1.49360875e-02, -2.56160810e-02, -8.75820313e-03,  5.18959856e-02,\n",
       "               8.59789206e-02,  8.75465421e-03,  1.01268487e-01, -2.78852326e-02,\n",
       "              -7.72001306e-02,  1.24032132e-03, -6.81036233e-03,  1.91278290e-02,\n",
       "               1.38207041e-02,  6.04927111e-02,  6.79400438e-02,  3.32922186e-02,\n",
       "               1.72443837e-02,  7.45827421e-02, -2.83975899e-03, -6.87605767e-02,\n",
       "               2.27767439e-02, -2.66751221e-02,  1.17155811e-01,  2.31086470e-03,\n",
       "               7.02010905e-02,  1.10550295e-03, -5.13019846e-02,  4.05987399e-03,\n",
       "              -5.71473017e-02, -3.21401450e-02,  6.36105943e-02,  1.52192358e-02,\n",
       "               2.28440668e-03,  4.17948263e-02,  5.28628463e-02,  7.02056461e-02,\n",
       "              -6.47647558e-02, -3.42231044e-02,  3.20116403e-02, -8.79826664e-03,\n",
       "              -2.75369061e-02, -8.02601241e-02,  2.63971335e-03,  2.48744359e-02,\n",
       "               2.56827212e-02, -2.11499949e-02, -1.36259478e-05, -3.82617289e-02,\n",
       "              -5.29968739e-02, -1.07356999e-03, -3.66202809e-02,  3.10196155e-02,\n",
       "              -8.26712116e-02, -9.46932575e-02, -5.38430912e-02,  7.76267732e-02,\n",
       "               7.81703787e-03,  6.79885596e-03,  3.64571871e-02, -2.18569359e-02,\n",
       "              -4.61289985e-02, -1.31092593e-03, -3.09115418e-02,  8.96268175e-04,\n",
       "               4.51173224e-02,  5.49527239e-02, -7.48503348e-02,  3.17926367e-02,\n",
       "               1.82832768e-02, -1.01772994e-02,  2.62831729e-02,  8.82959506e-03,\n",
       "               6.21848851e-02, -1.33754849e-02,  7.13262148e-02,  8.58435528e-02,\n",
       "               1.76392273e-02,  1.12653843e-02,  2.66025821e-03,  4.52257979e-02,\n",
       "              -2.19419415e-02,  2.75446069e-02, -3.56351921e-02, -6.37678476e-03,\n",
       "              -2.63655884e-03,  8.44937079e-02, -1.41761451e-01, -2.78553530e-02,\n",
       "               3.51556651e-02,  4.62479368e-02, -1.31413206e-02, -1.14993005e-02,\n",
       "              -8.23437474e-02,  5.28154494e-02,  7.15509541e-02, -5.05781220e-02,\n",
       "              -7.10042389e-02,  2.47029714e-02,  3.09363673e-02,  5.73867112e-02,\n",
       "              -9.43842917e-02,  3.61912022e-02, -2.99857497e-02, -4.64247295e-02,\n",
       "               7.05124387e-02,  1.84966164e-02,  1.07166234e-02, -1.57243875e-02,\n",
       "              -1.16195336e-02,  4.07413179e-02, -9.80748888e-02,  2.76195188e-03,\n",
       "              -6.97198599e-02, -1.72677955e-02,  1.73468324e-02, -2.09860702e-02,\n",
       "               2.84165223e-03, -5.16120708e-02, -2.44983542e-03,  7.39585757e-02,\n",
       "               3.76767311e-02,  1.72803365e-02, -9.27187204e-02,  2.19399724e-02,\n",
       "              -9.26201185e-03,  3.09460210e-02, -1.34240540e-02,  5.92828346e-02,\n",
       "              -2.27541189e-02,  1.46722492e-02, -2.77629679e-02, -5.98731218e-02,\n",
       "              -3.90481838e-02,  1.64663875e-02, -4.44363768e-02, -2.84509553e-02,\n",
       "               1.90551432e-02,  5.16815137e-02,  4.83549220e-02,  2.04002664e-02,\n",
       "              -1.35120726e-03,  3.89465729e-02, -5.23095352e-02,  3.21074738e-03,\n",
       "               6.81110844e-02,  3.00013389e-02, -6.18575504e-02,  2.55153393e-02]),\n",
       "       array([ 0.04902302, -0.05830562, -0.0733606 ,  0.06677796, -0.00814147,\n",
       "               0.01587543,  0.01283727,  0.05863047,  0.02516172, -0.06316704,\n",
       "               0.08154318, -0.00216809, -0.06147406, -0.010534  ,  0.10109528,\n",
       "              -0.04790577,  0.05731958,  0.07988717,  0.07556579,  0.00274908,\n",
       "               0.05575233,  0.05073681, -0.00294784,  0.08141104,  0.06985315,\n",
       "               0.0436779 , -0.01187506, -0.01551033, -0.00531675, -0.02942782,\n",
       "              -0.03308102,  0.0770908 ,  0.0390263 , -0.00494318,  0.06225494,\n",
       "               0.0771925 , -0.03768984,  0.08348585, -0.05614748, -0.06703913,\n",
       "              -0.02669947, -0.04580883, -0.01835542, -0.04185801, -0.05229138,\n",
       "               0.01593561,  0.00361584, -0.01844658,  0.06336363, -0.01517062,\n",
       "              -0.07123965,  0.03155714,  0.02172732, -0.00355729, -0.08133622,\n",
       "               0.01906153,  0.00123987, -0.01752587,  0.00653313,  0.0298877 ,\n",
       "              -0.13789741, -0.00719665,  0.0638553 , -0.01923625,  0.01672664,\n",
       "              -0.01613756, -0.00653571,  0.01371752,  0.01608164,  0.01525837,\n",
       "              -0.03934084,  0.00026339,  0.04994483, -0.0394914 , -0.03188265,\n",
       "              -0.04242254, -0.06083675, -0.03384612, -0.0280855 , -0.06735981,\n",
       "               0.0311261 , -0.03361301, -0.05241771, -0.05248662, -0.04809844,\n",
       "               0.01662134, -0.05983616, -0.02729016, -0.09487097, -0.03475953,\n",
       "               0.01227142,  0.04241999, -0.0573739 , -0.05854316, -0.01578024,\n",
       "              -0.03553363,  0.0114698 , -0.00066481,  0.0387882 ,  0.02031129,\n",
       "               0.01581147, -0.01710421, -0.05126669, -0.03476946, -0.00940088,\n",
       "               0.03686017, -0.00629059, -0.01973434,  0.06382572,  0.0111757 ,\n",
       "               0.02517281,  0.02382723, -0.03804355, -0.07869511, -0.06638459,\n",
       "              -0.00960706, -0.00258264, -0.02889938,  0.01013555,  0.03496234,\n",
       "               0.03068938, -0.01592264,  0.01890058, -0.08585725, -0.00764119,\n",
       "               0.04157038, -0.01764515,  0.00681888, -0.00504608,  0.0481816 ,\n",
       "               0.00502373, -0.03556068, -0.03856236, -0.00685678, -0.11157173,\n",
       "               0.01592857, -0.04369597,  0.07059963,  0.03208879, -0.02856031,\n",
       "              -0.03065231, -0.0315968 , -0.02305483,  0.11649767,  0.07903628,\n",
       "              -0.00195573, -0.11316881,  0.00789723,  0.03033497, -0.00566079,\n",
       "              -0.03188564,  0.07337247, -0.07811513,  0.01782591, -0.05188279,\n",
       "              -0.03069604,  0.00571411, -0.05555956, -0.03577087,  0.02997112,\n",
       "              -0.01622612,  0.03507689, -0.02456704, -0.05890597, -0.01927382,\n",
       "              -0.04527992, -0.06621883,  0.01972847, -0.08772428, -0.02374554,\n",
       "               0.02600439, -0.0123726 , -0.00021517, -0.02323644,  0.0956935 ,\n",
       "               0.01506559, -0.01166575,  0.01609294, -0.01941296, -0.05115487,\n",
       "              -0.11848738,  0.03228421,  0.03319501, -0.03144148, -0.03093403,\n",
       "              -0.03402022, -0.05611202,  0.00825127,  0.01489295,  0.02936017,\n",
       "              -0.00861953,  0.13309277, -0.03333545,  0.03389393, -0.01394557,\n",
       "               0.03774234,  0.03010218, -0.00314033,  0.02703771, -0.04710769,\n",
       "               0.03601007,  0.03318202, -0.02437002, -0.05816278, -0.03358076,\n",
       "              -0.00658853, -0.08393339, -0.01204272, -0.08022866,  0.00281761,\n",
       "              -0.00978549,  0.05257727, -0.03869401,  0.00625075,  0.06423081,\n",
       "              -0.00740138,  0.01015828,  0.00200218, -0.07934804,  0.05848051,\n",
       "               0.04140425,  0.01969338,  0.04905954, -0.05221439,  0.04469717,\n",
       "               0.05399541, -0.02094924, -0.03237065, -0.00691716, -0.00420384,\n",
       "               0.01888406, -0.0474617 , -0.09150832,  0.04435769, -0.04844821,\n",
       "              -0.07982348,  0.06635934,  0.05740892, -0.02934988, -0.04166119,\n",
       "               0.03624177, -0.005316  , -0.01654157,  0.08380182, -0.10017771,\n",
       "               0.07871721,  0.0989666 , -0.05746223,  0.06565001, -0.03627126,\n",
       "              -0.01690621, -0.00234497, -0.03933975, -0.01745757,  0.05745582,\n",
       "              -0.06781843,  0.01684308, -0.01495307,  0.0130378 , -0.03246961,\n",
       "              -0.06436974, -0.06187577, -0.08176157, -0.04675201, -0.03482549,\n",
       "              -0.04045678,  0.00398014,  0.04946976,  0.08092642,  0.02195023,\n",
       "               0.02908755,  0.06875614,  0.05445542, -0.01186524, -0.02622394,\n",
       "              -0.08629373,  0.01517419,  0.01392193,  0.07948228,  0.01861641,\n",
       "              -0.06798678, -0.0083402 , -0.04275789, -0.00649674, -0.01133584,\n",
       "               0.0671818 ,  0.01980502,  0.05139662,  0.01537949,  0.02434096,\n",
       "               0.04716596,  0.06212826, -0.04894763,  0.00184963,  0.02493024,\n",
       "              -0.02341635,  0.0086754 ,  0.00519138, -0.1035876 , -0.01543262]),\n",
       "       array([ 0.04094406, -0.07816914,  0.011903  ,  0.026     ,  0.01766318,\n",
       "               0.06685534,  0.01620953,  0.0568146 ,  0.03560712, -0.06490439,\n",
       "               0.06033018, -0.00684708,  0.00489114, -0.07534438,  0.0581486 ,\n",
       "               0.00110414, -0.00049039, -0.01875978,  0.0573006 , -0.01015205,\n",
       "               0.06141804,  0.03428447,  0.04222097, -0.00626546,  0.02610838,\n",
       "               0.01258623, -0.05384727, -0.00359879, -0.00290904, -0.00150475,\n",
       "               0.02821311,  0.08704083, -0.04336707, -0.03652975,  0.0299299 ,\n",
       "               0.05104247, -0.01869686,  0.0936534 , -0.00836486, -0.01014506,\n",
       "              -0.02837731, -0.0145152 , -0.01409034, -0.10661766,  0.00244381,\n",
       "               0.04230942,  0.00247383,  0.03839383, -0.0007955 ,  0.05376929,\n",
       "              -0.01587361, -0.04575877,  0.0191249 , -0.02296915, -0.03988715,\n",
       "               0.0164937 , -0.05813952, -0.01646802, -0.00041123, -0.01652208,\n",
       "              -0.08737717,  0.01697867,  0.04733329,  0.07550255,  0.02717526,\n",
       "               0.05794441, -0.03206025,  0.03210204,  0.01153593, -0.04546379,\n",
       "               0.01626799,  0.00708124, -0.00060142,  0.01776098,  0.00996722,\n",
       "              -0.06475723,  0.01795136, -0.0256305 , -0.01055032, -0.06012466,\n",
       "              -0.02380946,  0.02992005, -0.04168328,  0.02377436,  0.00918982,\n",
       "              -0.03471906,  0.01178746,  0.00755414, -0.00317155, -0.0235658 ,\n",
       "              -0.02774309,  0.02650925, -0.04344695, -0.05518728, -0.03914677,\n",
       "               0.00257493, -0.00381697,  0.08191152,  0.01461612,  0.03484573,\n",
       "              -0.02696797, -0.02505896, -0.00565432, -0.0098524 , -0.04373106,\n",
       "              -0.06453356,  0.01457958, -0.02491202,  0.00779877,  0.08696932,\n",
       "               0.10675121,  0.02327286,  0.00148105, -0.01902872, -0.04641746,\n",
       "               0.01405235, -0.02314955,  0.01769738, -0.0632639 ,  0.03226049,\n",
       "               0.02617975, -0.0371576 , -0.02803651, -0.05454972, -0.04226213,\n",
       "               0.0190068 , -0.00639924, -0.02280069, -0.00289756,  0.06545165,\n",
       "              -0.02862925,  0.02205532, -0.03479223, -0.04618772, -0.11066934,\n",
       "               0.02578075,  0.04526141,  0.04116858,  0.08086457, -0.02865038,\n",
       "               0.06844134, -0.02412971, -0.03792186,  0.04684752,  0.01833911,\n",
       "              -0.04213149, -0.10614248,  0.07333433,  0.03898496, -0.00822382,\n",
       "               0.04058751,  0.05165733, -0.0604781 ,  0.01891043,  0.00264035,\n",
       "              -0.028129  ,  0.0134167 ,  0.00427599, -0.00762666,  0.09289051,\n",
       "              -0.01433449,  0.07381555, -0.0510153 , -0.06401793,  0.01992999,\n",
       "              -0.04870159, -0.02465902,  0.05432007, -0.02422018,  0.03679545,\n",
       "               0.05875117,  0.00956003, -0.07427579, -0.02405749,  0.11254694,\n",
       "               0.0112508 ,  0.09141742,  0.01653828,  0.07180228, -0.00978958,\n",
       "              -0.04686714,  0.01907069,  0.02656523, -0.0877819 ,  0.00495381,\n",
       "               0.00336778,  0.0044798 ,  0.02885114, -0.04981068, -0.01484333,\n",
       "              -0.04913373,  0.07539006, -0.01312797, -0.01856717, -0.03529637,\n",
       "               0.08077396,  0.02916262, -0.08164239, -0.08734622, -0.02092229,\n",
       "               0.00756403, -0.01789903, -0.07628896, -0.04244408,  0.01163985,\n",
       "              -0.11289979, -0.03005015,  0.00159358, -0.05936854,  0.02971648,\n",
       "              -0.05692938,  0.08875383, -0.04853492,  0.03375943,  0.01695603,\n",
       "               0.0552376 , -0.04514868, -0.01830474, -0.07852311,  0.07574754,\n",
       "              -0.02214716,  0.06401168,  0.0540337 , -0.07032125, -0.01683629,\n",
       "               0.01176482, -0.02700365, -0.01161941,  0.0550392 ,  0.03738139,\n",
       "              -0.04227537,  0.01765441, -0.10291751,  0.00772023, -0.01934875,\n",
       "               0.01504594,  0.07913091,  0.09631702, -0.05498024, -0.05517944,\n",
       "               0.0025631 ,  0.01050054, -0.03583457,  0.08924931, -0.10720254,\n",
       "               0.07655374,  0.04802262, -0.03023218,  0.01044241, -0.05063741,\n",
       "              -0.02792137, -0.06757058, -0.01189584,  0.01562197,  0.04689084,\n",
       "              -0.06276876,  0.00452575,  0.02917405,  0.05451765, -0.03854047,\n",
       "              -0.00291552,  0.00995485, -0.1191384 , -0.00107547, -0.03299375,\n",
       "              -0.0187981 , -0.0493637 ,  0.01690997,  0.04903131,  0.02386702,\n",
       "               0.00102737,  0.01403808,  0.08708649,  0.06005538,  0.04659416,\n",
       "              -0.03846561,  0.01764269,  0.00735395,  0.02116769, -0.06674728,\n",
       "              -0.0246487 ,  0.04446679,  0.09963304, -0.05467104,  0.03593802,\n",
       "              -0.01888828, -0.06641479,  0.01790396,  0.00398199,  0.03424747,\n",
       "              -0.02844445,  0.05154278, -0.08831297,  0.02846634, -0.04015325,\n",
       "               0.0149734 ,  0.11110492, -0.02699953, -0.08804035,  0.0010376 ]),\n",
       "       array([-5.09728376e-02,  1.74609959e-02, -1.97212472e-02, -2.03447274e-02,\n",
       "               4.69627293e-03, -3.90570330e-02, -1.72012864e-02,  4.92048083e-02,\n",
       "               1.40919397e-03, -8.45853823e-02,  1.13782154e-01, -3.75529133e-02,\n",
       "              -2.22129221e-02, -8.29357964e-02,  7.72435529e-02,  2.31931834e-02,\n",
       "               3.50902450e-02,  3.96795490e-02,  1.19426906e-01, -1.32993004e-02,\n",
       "               6.84313762e-02,  6.74599782e-02,  5.84327274e-02,  3.88585385e-02,\n",
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       "              -6.06743544e-02, -4.68536558e-02, -1.17551886e-02, -6.70855027e-03,\n",
       "               4.42815659e-02, -3.97196673e-02, -2.89536739e-02,  8.77704313e-02,\n",
       "               3.60328071e-02, -5.16781863e-03,  4.57486257e-02, -7.82993870e-02,\n",
       "              -5.71010634e-04,  4.05677827e-03,  1.18955068e-02, -4.56083653e-02,\n",
       "               2.33917007e-02,  2.32463886e-02,  9.12995413e-02, -1.07425794e-02,\n",
       "               5.97318598e-02, -1.34676571e-03, -2.68672711e-02, -3.47483692e-02,\n",
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       "              -1.14394693e-02, -4.74426678e-02, -4.75833900e-02,  9.95186840e-03,\n",
       "               4.97332302e-02,  7.21600031e-03, -5.61018263e-02,  9.97410715e-03,\n",
       "               1.66681968e-03, -6.60973170e-02, -7.30198988e-02,  7.41632679e-03,\n",
       "               1.05722159e-02,  1.64635405e-02, -1.54630266e-02, -7.25295705e-03,\n",
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       "              -2.96463383e-02, -4.91433957e-02,  4.97630623e-02,  9.04421085e-02,\n",
       "              -6.33190560e-02,  7.04803802e-02,  1.00602279e-01,  4.75793866e-02,\n",
       "               1.74588148e-02,  7.28111155e-02,  1.23206216e-03, -3.49853236e-02,\n",
       "              -1.71760181e-02, -1.87135857e-02, -1.26842974e-02, -1.08746601e-02,\n",
       "              -3.99164235e-02,  3.38470861e-02,  6.20105552e-03,  2.02463729e-02,\n",
       "              -4.10436432e-02,  1.27744305e-02,  9.10162926e-05, -4.23251263e-03,\n",
       "              -6.96320968e-02, -8.34511096e-03, -4.29894291e-02, -4.37298883e-02,\n",
       "               1.68433177e-02, -5.79139606e-02, -4.74939998e-02,  7.61112027e-02,\n",
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       "              -5.38649404e-02, -1.22849259e-02, -1.86447923e-02, -8.31928936e-02,\n",
       "              -7.52060395e-03,  1.98209913e-02, -5.79239205e-02, -1.42127325e-02,\n",
       "              -1.19200010e-02,  5.53755183e-03, -7.67452121e-02,  2.09316686e-02,\n",
       "               5.31263016e-02, -1.73890336e-03,  1.97051635e-02,  1.99144818e-02,\n",
       "               6.16576603e-02, -7.02091381e-02,  5.12246850e-02,  1.15168287e-02,\n",
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       "              -1.69747720e-02, -1.52845623e-02, -2.63354673e-02,  4.96581868e-02,\n",
       "              -3.39329615e-03,  9.86634567e-02, -2.66177859e-02, -3.78189907e-02,\n",
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       "              -3.55264375e-02, -4.05970309e-02, -3.70842461e-02,  1.64033084e-02,\n",
       "              -4.36228774e-02,  3.27386676e-03, -1.75595743e-02,  1.33937054e-03,\n",
       "               1.66364208e-02, -2.78429799e-02,  7.51379170e-02,  4.55618985e-02,\n",
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       "              -6.68751076e-02,  3.60771129e-02, -3.74925646e-02, -6.36875872e-02,\n",
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       "              -3.62498301e-02, -1.62951201e-02,  1.71474116e-02,  4.34763351e-02,\n",
       "               8.24009925e-02, -1.14314146e-02,  5.98875408e-02, -6.27789988e-03,\n",
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       "              -4.07052847e-04, -5.04124338e-02, -6.54123090e-02, -2.42871248e-02,\n",
       "              -2.35120828e-02,  2.96954786e-02,  3.97551001e-02,  9.38917175e-02,\n",
       "               8.30723858e-03,  2.91824665e-02, -3.60999204e-02, -5.38897468e-04,\n",
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       "               3.98517090e-03, -2.05016524e-02, -3.13704231e-02, -1.62706254e-02,\n",
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       "              -9.37962998e-03,  7.13068545e-02, -3.10445608e-02, -1.13138364e-02,\n",
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       "              -6.32976964e-02,  5.26186175e-02,  3.14442168e-02,  2.18425946e-02,\n",
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       "              -1.48536147e-02, -1.76190437e-02, -3.09890471e-02, -1.03263011e-02,\n",
       "              -4.84469992e-02, -2.43262282e-02,  1.07873200e-02,  6.29407191e-03,\n",
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       "              -1.39557819e-02, -3.36486846e-02,  1.97382054e-02,  6.36458136e-02,\n",
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       "              -1.97903719e-02, -5.78572117e-02,  1.02244008e-02, -2.41329698e-02,\n",
       "               8.78646709e-02,  6.94017833e-02, -7.35960342e-03,  1.31634818e-02,\n",
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       "              -8.76663940e-03,  1.05618375e-03,  7.04212238e-03, -3.99728365e-02,\n",
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       "              -4.01886059e-02,  2.92209652e-02, -7.57079447e-03,  1.09452484e-02,\n",
       "               5.95232795e-02,  2.32831708e-02, -8.63692338e-02,  4.81000965e-02]),\n",
       "       array([ 4.99279769e-02,  2.08775545e-02,  4.17849887e-02,  6.94028195e-02,\n",
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       "              -3.48944068e-02, -8.49341694e-02,  6.41814210e-02,  2.64543764e-02,\n",
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       "               7.45531358e-03,  1.91084747e-02,  2.31367722e-02, -6.05235305e-02,\n",
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       "               7.22208396e-02, -5.15147317e-02,  5.03473077e-03,  1.69356745e-02,\n",
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       "              -8.63552517e-02,  4.19045370e-02,  6.16431478e-02,  1.05205812e-02,\n",
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       "              -3.18006808e-02,  3.12308641e-02,  2.36948887e-02,  8.39987956e-03,\n",
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       "              -3.35978551e-02, -4.87176087e-02,  2.51610097e-02, -9.32951923e-03,\n",
       "               2.84024840e-02,  5.31744491e-03,  2.43133623e-02,  2.36570789e-03,\n",
       "              -5.13192583e-02,  1.14437975e-02, -5.69404848e-03,  2.26055086e-03,\n",
       "              -3.90886780e-02, -8.08721129e-03,  1.16987251e-02,  9.79483291e-03,\n",
       "               4.28591429e-02,  3.25576495e-02, -8.92315209e-02,  4.48483005e-02,\n",
       "              -2.54215924e-02,  4.22177210e-02,  2.02604656e-02,  1.02519896e-02,\n",
       "               7.84249976e-04,  4.33779890e-02, -1.50724994e-02,  6.08223993e-02,\n",
       "              -1.73473069e-02, -2.47549571e-02, -7.84192830e-02,  2.94511120e-02,\n",
       "               2.94040572e-02, -1.71423964e-02,  2.25275233e-02, -2.41311411e-02,\n",
       "               3.02300944e-02, -2.34977568e-02, -5.94260339e-02,  8.46813172e-02,\n",
       "               1.78393493e-02, -1.10013292e-02, -1.26007531e-01,  2.64779385e-02,\n",
       "               1.72883552e-03,  4.73611224e-02, -3.36358910e-02,  1.48305990e-01,\n",
       "              -5.09476615e-02,  5.85994206e-03, -1.86156724e-02, -1.23066530e-02,\n",
       "               1.05627023e-01, -9.34076812e-02,  2.50032987e-03, -8.85871582e-03,\n",
       "              -3.65361879e-02,  4.01787087e-02, -4.95236609e-02,  1.22866188e-02,\n",
       "              -6.73364783e-02,  2.52319581e-02, -6.69264141e-03,  1.41525194e-01,\n",
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       "              -1.11423961e-02,  4.39736808e-02,  8.32919329e-02,  9.21668001e-02,\n",
       "               4.60507730e-02,  3.12872436e-02, -4.94007021e-03, -8.60668439e-03,\n",
       "               1.67697646e-02,  7.01469816e-02, -5.62293306e-02,  7.41914124e-03,\n",
       "               1.42860198e-02,  5.71711306e-02,  7.37979636e-03,  1.64931109e-02,\n",
       "              -4.33114152e-02,  5.92961791e-03,  5.04202070e-03,  4.51097358e-02,\n",
       "              -4.07844577e-02, -1.58540398e-01,  1.66668743e-03, -1.61521789e-02,\n",
       "               6.11988185e-02, -8.16265121e-02,  6.00263402e-02, -1.99131593e-02,\n",
       "               3.28719616e-04,  3.77214681e-02, -2.51840153e-02, -3.19242366e-02,\n",
       "              -2.98188701e-02, -5.43002603e-02, -1.51706710e-02, -2.44592428e-02,\n",
       "              -2.64855949e-02,  3.29938182e-02, -4.07532882e-02,  7.95925409e-02,\n",
       "               4.06356447e-03,  9.42870975e-05, -4.96787205e-03,  2.73868050e-02,\n",
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       "              -3.00133075e-02, -2.07917364e-02,  2.21955735e-03,  2.10615769e-02,\n",
       "               4.10068016e-02,  6.94948062e-03,  1.73768658e-02,  4.43107840e-02,\n",
       "              -1.31211199e-02,  7.41315982e-03, -5.98897785e-03, -7.69394857e-03,\n",
       "              -8.00668653e-02,  7.96228775e-03, -4.03720120e-02,  1.80878213e-02,\n",
       "               2.56422907e-03,  9.01395828e-02, -5.65384794e-02, -3.01861847e-02,\n",
       "               2.65472876e-02, -1.43267591e-02, -5.95368408e-02,  8.68121861e-03,\n",
       "              -9.46611632e-03,  1.39510460e-01,  4.58632782e-02, -8.01434480e-02,\n",
       "              -4.78154486e-02,  8.47744346e-02, -8.59490130e-03, -2.60570734e-02,\n",
       "              -3.72289177e-02,  2.19439240e-02, -3.77776083e-02,  8.40940699e-03,\n",
       "               5.23199469e-02, -2.41808333e-02, -2.14216486e-03,  5.45467483e-02,\n",
       "              -2.67664716e-02,  8.23774971e-02, -2.65183630e-02,  3.98283401e-02,\n",
       "              -8.86510499e-03, -4.27556224e-04, -2.23938139e-04,  5.90085424e-03,\n",
       "              -9.11942497e-03, -2.50486094e-02, -2.00660899e-02,  2.13663680e-02,\n",
       "               5.16815986e-02, -1.43748953e-02, -4.67964225e-02, -1.27107446e-03,\n",
       "              -1.19129550e-02,  1.17424820e-02,  8.08814913e-03,  2.15085056e-02,\n",
       "              -4.39840606e-02, -1.99040398e-03, -1.56404689e-02,  3.37785762e-02,\n",
       "              -5.10243457e-02, -1.88001902e-02,  1.28601395e-01, -4.25716741e-02,\n",
       "               2.44595974e-02,  3.50224338e-02, -3.10798660e-02,  7.99313560e-03,\n",
       "              -4.21824316e-02,  7.40724700e-02, -3.52219096e-02, -4.08502005e-03,\n",
       "              -5.92255220e-03, -1.01175155e-01, -5.47537897e-02, -1.65686279e-02]),\n",
       "       array([ 6.14389069e-02,  1.24764847e-02, -4.94034030e-04,  9.69317667e-02,\n",
       "               3.58927082e-02, -1.22195345e-02,  1.67218801e-02, -9.78258811e-03,\n",
       "               4.04083245e-02, -9.20887813e-02,  9.27415229e-02, -8.26271474e-02,\n",
       "              -5.74798100e-02,  3.96117987e-03,  8.91312622e-02,  3.53436824e-02,\n",
       "               4.39875885e-02,  7.09464238e-02,  2.24795204e-02, -3.12371762e-02,\n",
       "               3.21161821e-02,  3.10875976e-02, -3.88483386e-02, -4.00389917e-03,\n",
       "               5.83081614e-02,  9.47261229e-04,  7.59774376e-03, -2.22382757e-02,\n",
       "              -3.70504363e-02, -3.51607781e-02, -3.81848169e-02,  2.58543445e-02,\n",
       "               5.61267249e-02, -1.80843528e-02,  1.65981217e-02, -8.32863990e-03,\n",
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       "              -1.07522572e-02, -9.18079801e-02, -3.32256230e-02, -6.21056519e-02,\n",
       "              -8.78178980e-03,  2.04021810e-02,  1.81150362e-02, -3.07073910e-02,\n",
       "               6.03031069e-02, -6.63026180e-02, -3.06202446e-02, -3.27167045e-02,\n",
       "              -3.97889800e-02,  1.64699135e-02,  7.50960633e-02,  4.74055745e-02,\n",
       "              -1.04637519e-02, -9.80387516e-02, -5.47174718e-02,  3.45938411e-02,\n",
       "              -6.72256202e-02,  6.49193535e-03,  6.65614977e-02,  4.47071362e-02,\n",
       "              -4.52485941e-02, -1.86450779e-06, -3.17462953e-02,  1.43479123e-02,\n",
       "              -5.34866368e-02,  2.28987448e-02, -5.74588612e-02,  6.56474680e-02,\n",
       "               2.66012237e-02, -1.21803926e-02,  9.73299108e-02,  4.61610164e-02,\n",
       "              -3.71145289e-02, -9.42876898e-02,  5.15738195e-02, -6.84710639e-03,\n",
       "              -8.09616297e-02,  3.44352787e-02, -5.31135220e-02, -2.33084494e-02,\n",
       "              -9.94735658e-02, -3.34108910e-02, -5.24965897e-02, -5.49117103e-03,\n",
       "              -5.14855944e-02,  5.56415657e-03, -1.96072757e-02,  9.72362794e-02,\n",
       "               7.70233572e-03, -5.25396047e-02,  2.48872116e-02, -1.10754941e-02,\n",
       "               5.21697057e-02, -3.59804258e-02, -3.56640220e-02,  3.64721315e-02,\n",
       "               3.89977852e-02,  1.07011739e-02, -5.65446578e-02, -5.06484318e-02,\n",
       "               1.72287226e-03, -5.82393538e-02, -1.99888875e-02,  3.53932036e-02,\n",
       "              -1.28316357e-02,  1.51538856e-02, -2.74791592e-02, -6.27797619e-02,\n",
       "              -4.68999092e-02,  3.85126956e-02, -2.99402885e-03, -2.57538073e-03,\n",
       "              -6.78765588e-02, -9.44620301e-03,  3.00435489e-02,  5.31774284e-02,\n",
       "               3.54336528e-02, -2.55692597e-02,  5.04235048e-02, -1.36965223e-01,\n",
       "              -1.01899620e-01,  4.30922657e-02, -3.42496315e-02,  4.76169279e-02,\n",
       "              -1.51476022e-02,  7.50239883e-02, -3.05861708e-02, -5.06657101e-02,\n",
       "              -8.18720106e-02, -7.77730010e-02, -1.29974052e-01, -2.34692749e-02,\n",
       "              -3.96428779e-02, -1.81170311e-02, -6.39511691e-03,  2.37704907e-03,\n",
       "              -1.18757472e-02,  1.78023649e-03, -1.27947140e-02,  7.81634916e-02,\n",
       "               3.56959663e-02,  3.08708474e-02, -2.17436170e-02,  2.89611453e-02,\n",
       "               4.58277762e-04,  6.64739255e-02, -4.41083026e-02,  1.11008059e-01,\n",
       "               1.28750592e-02,  5.81612061e-02,  1.68662417e-02, -3.35067667e-02,\n",
       "               5.91832306e-02, -8.70035253e-02,  2.80183749e-02,  3.26083526e-02,\n",
       "              -5.41538056e-02, -5.37557621e-02,  1.09805651e-02,  1.01458067e-02,\n",
       "              -5.08396272e-02,  1.85086165e-03, -4.18840945e-02,  7.53120445e-02,\n",
       "              -7.81530645e-02, -7.94054009e-04,  3.09787281e-02, -3.77454655e-02,\n",
       "              -5.58677372e-02, -2.30962848e-02,  7.39792734e-02,  6.98781260e-02,\n",
       "               5.41480379e-02, -6.81740530e-02, -2.70900326e-02, -4.89716046e-03,\n",
       "              -6.91296123e-02, -3.91380396e-03, -3.92600447e-02, -2.44741328e-03,\n",
       "              -1.14529412e-02, -9.59757529e-03, -1.63840428e-02,  6.64904509e-02,\n",
       "               3.23952036e-02,  1.80027355e-02,  2.58875964e-02,  2.51072310e-02,\n",
       "               5.77395968e-03, -2.91580586e-02,  1.89058823e-02, -4.57992535e-02,\n",
       "               5.72758103e-02,  4.56873924e-02,  2.53511406e-03, -3.88516439e-02,\n",
       "              -8.63410495e-02, -7.19257351e-02,  2.88966941e-02,  5.20233493e-02,\n",
       "               3.40168672e-02, -3.58935666e-02,  1.88155479e-02,  3.57037568e-02,\n",
       "              -7.37738498e-02,  1.92148020e-02,  2.63545765e-02, -3.31659047e-02,\n",
       "              -1.42859911e-02, -8.39232042e-03,  9.15358978e-03,  5.98845482e-02,\n",
       "               3.14161461e-03,  4.75490224e-02, -7.42413234e-02, -3.07680690e-02,\n",
       "               2.05086581e-02,  7.42580649e-02, -2.48328205e-02, -3.94249395e-02,\n",
       "               5.81268594e-02, -3.30760535e-02, -1.61963084e-02, -2.89993817e-02,\n",
       "               3.40440562e-02, -5.46990326e-02,  3.94900236e-02, -4.28946875e-03,\n",
       "              -8.24557170e-02,  3.91365006e-02, -5.51280454e-02, -4.75796107e-02,\n",
       "               1.79165145e-02,  2.49281621e-02, -5.20018630e-02, -6.88174702e-02,\n",
       "               4.56654131e-02,  1.76727455e-02,  4.54539610e-02,  5.73011362e-02,\n",
       "              -4.08649561e-02,  1.20777860e-01,  3.79499840e-02,  7.24236947e-03,\n",
       "              -5.03396848e-02, -3.92228276e-02,  8.10797792e-05, -4.54522688e-02,\n",
       "              -8.90246108e-02,  5.76154906e-02, -2.12076288e-02, -1.77182276e-02,\n",
       "               7.58473203e-02, -1.53273307e-02, -5.73781580e-02,  1.21720619e-02,\n",
       "              -1.38366986e-02,  5.90851582e-02, -1.23044305e-01,  3.12613370e-02,\n",
       "              -2.07003206e-04,  2.99585953e-02, -2.68762233e-02, -1.04115117e-01,\n",
       "              -6.13097064e-02, -4.65443917e-02,  9.10569578e-02,  1.73234260e-02,\n",
       "               3.93183557e-02,  7.99252260e-02, -3.79794547e-02,  2.21242917e-02,\n",
       "              -3.78805988e-02,  1.42530333e-02,  1.42710330e-03,  3.80565785e-03,\n",
       "              -6.84299372e-02, -2.51610421e-02, -8.04692879e-03,  6.20924160e-02,\n",
       "              -6.69973530e-02,  4.74142767e-02,  4.23652497e-02, -1.93593628e-02,\n",
       "              -1.73778245e-02, -5.95230080e-02, -2.65714412e-02, -4.30993941e-02,\n",
       "              -2.15124963e-02,  4.71461453e-02,  4.55950992e-03, -1.19829719e-02,\n",
       "              -5.37173217e-03, -3.81058082e-04, -2.57730205e-02, -8.44894983e-02]),\n",
       "       array([-4.69254085e-03, -1.54342093e-02,  4.45282608e-02,  2.56042574e-02,\n",
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       "              -4.24543442e-03, -8.64081588e-02,  5.03462804e-02, -2.01103532e-02,\n",
       "              -4.06762809e-02, -1.20382261e-01,  4.03709617e-02,  1.52520365e-02,\n",
       "               8.53897117e-03,  6.22427855e-02,  1.40601918e-02, -1.24230508e-01,\n",
       "              -5.48488777e-02,  4.72913543e-02, -9.25062899e-03,  5.58861885e-02,\n",
       "              -3.50663811e-03, -1.54839070e-02, -2.06735227e-02,  1.68151036e-03,\n",
       "               5.99858537e-03, -2.61344032e-02, -1.31867938e-02,  3.58080920e-02,\n",
       "               5.13456259e-02, -5.29313553e-02,  2.85249883e-02, -7.86801032e-03,\n",
       "              -2.17971923e-02,  6.13096766e-02,  4.61139344e-03, -6.31546769e-02,\n",
       "               5.17593778e-03, -5.31368405e-02,  2.44154092e-02, -4.42866040e-02,\n",
       "              -3.62948314e-02, -3.15810079e-02,  1.42965671e-01,  1.07749109e-02,\n",
       "               9.27969813e-04,  1.43985730e-03, -4.27395487e-02, -5.03028221e-02,\n",
       "               4.71865200e-02, -6.87083649e-03, -1.42549715e-02, -2.34819436e-02,\n",
       "              -9.07926988e-02, -7.58880246e-02,  4.61027510e-02,  6.06104331e-02,\n",
       "              -1.05982182e-01,  2.54754834e-02,  7.21672159e-02,  3.31583535e-02,\n",
       "               7.37196654e-02,  6.54602051e-03, -6.57267980e-02,  6.83999769e-02,\n",
       "              -4.03803457e-02, -2.10362123e-02, -9.20975953e-02,  1.48325989e-02,\n",
       "               7.14564696e-03, -4.89451066e-02, -2.07638610e-02, -1.41031290e-02,\n",
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       "              -4.32105437e-02, -1.88056566e-03, -9.13416483e-02, -4.48897835e-02,\n",
       "              -7.83898495e-02, -8.33951868e-04, -5.12844101e-02, -3.08004202e-03,\n",
       "              -2.36880772e-02, -7.76609145e-02,  6.23437017e-03,  9.58616361e-02,\n",
       "              -2.88246217e-02, -4.74283807e-02,  1.64257577e-02, -4.29103766e-02,\n",
       "               2.12988514e-02,  2.14540070e-02,  5.75261284e-02,  1.49888961e-02,\n",
       "              -5.16076619e-02, -3.91436554e-02,  5.86244557e-02,  4.26839605e-02,\n",
       "              -3.66493966e-03, -6.69584051e-02,  6.17389362e-02,  2.00140756e-02,\n",
       "              -2.42177323e-02,  2.84761610e-02,  2.55978666e-04,  6.44862074e-02,\n",
       "              -7.26820156e-02, -2.81553271e-02, -6.08890941e-02,  7.38968104e-02,\n",
       "              -1.27689876e-01, -6.31677695e-02,  2.21721686e-02, -9.86697851e-03,\n",
       "              -2.60481043e-02, -1.46617494e-02, -2.85804209e-02,  1.98683534e-02,\n",
       "              -6.45105597e-02, -2.10316218e-02, -1.03972786e-02, -1.10305426e-02,\n",
       "               2.13510254e-02, -7.14505054e-02, -8.93222541e-02, -1.43790338e-02,\n",
       "              -4.99686040e-02, -7.90939666e-04, -8.21213028e-03,  7.18288617e-02,\n",
       "               4.93528154e-02,  9.74209085e-02,  2.05881801e-02, -3.69409528e-02,\n",
       "              -1.48209161e-03, -6.19616285e-02, -4.27256804e-02,  1.20125633e-01,\n",
       "               3.65278795e-02, -9.37144980e-02, -8.79678540e-02,  4.77524903e-02,\n",
       "              -1.13976235e-03,  3.90860550e-02, -4.03861552e-02,  1.48773916e-01,\n",
       "              -4.08001859e-02,  6.90552518e-02, -5.82687720e-03, -4.40341048e-02,\n",
       "               2.69610160e-02, -9.62449349e-02,  1.37052750e-02,  1.00765736e-02,\n",
       "              -9.70416479e-02,  6.94650151e-02, -3.31307244e-02,  9.61089658e-03,\n",
       "              -1.24805581e-01, -5.93009284e-02,  8.24221969e-03,  8.15066248e-02,\n",
       "              -3.28383734e-03, -1.13730593e-02,  6.05179481e-02, -1.94313554e-02,\n",
       "              -3.93215716e-02, -4.95207701e-02,  6.38227109e-02,  9.77077186e-02,\n",
       "               8.98538381e-02,  7.71290679e-02,  3.29084611e-02,  1.55645581e-02,\n",
       "              -6.84734415e-02,  7.31065068e-02, -6.93985429e-02, -1.31838769e-02,\n",
       "              -2.84252027e-02,  8.66634436e-02, -9.75255691e-03,  4.67843749e-03,\n",
       "              -9.51640084e-02,  1.55428951e-02,  6.80128746e-02,  1.45338833e-01,\n",
       "              -8.46538320e-03, -7.97243640e-02, -2.33686350e-02,  3.81833445e-02,\n",
       "               9.58289057e-02,  4.01688181e-03,  4.05059591e-02, -4.31750491e-02,\n",
       "              -4.20845952e-03, -1.17934002e-02, -4.92321942e-02, -6.05130550e-02,\n",
       "               2.33312650e-03, -6.55562375e-02,  7.04261176e-02, -3.89413154e-02,\n",
       "              -4.72363811e-02, -1.06109399e-03, -2.84322836e-02,  7.96444565e-02,\n",
       "              -4.22514696e-03, -8.45219661e-03,  5.45538962e-02,  3.93766109e-02,\n",
       "               2.09211148e-02, -8.66741873e-03, -1.09533230e-02,  5.29649197e-02,\n",
       "              -3.74487364e-02,  3.93462889e-02, -2.58670929e-02, -7.70047233e-02,\n",
       "               2.78899600e-02,  3.38710854e-02,  6.51407370e-03,  4.95597534e-02,\n",
       "              -1.37606410e-02,  1.25488201e-02, -7.20774475e-03, -5.78984618e-02,\n",
       "              -1.11737408e-01,  7.15083536e-02,  7.95145072e-02,  5.98076894e-03,\n",
       "               8.43679905e-02,  3.85938575e-02, -5.61807752e-02,  2.29951169e-02,\n",
       "               1.41478544e-02,  6.67235421e-03,  4.80374834e-03,  6.62114955e-02,\n",
       "              -3.12235144e-02,  4.10588868e-02,  6.47493172e-04, -8.36361796e-02,\n",
       "               7.78538641e-03, -1.31034851e-03, -5.93496673e-03, -1.01719482e-01,\n",
       "              -3.45145222e-02,  2.65032426e-03,  3.01109543e-02, -4.27663606e-02,\n",
       "              -2.99699651e-02,  1.80708840e-02, -5.52929491e-02, -6.14085011e-02,\n",
       "              -2.60157082e-02,  4.15926734e-02, -2.77083181e-02,  1.31779118e-02,\n",
       "              -8.67100060e-03, -6.15055561e-02,  4.95674126e-02, -2.01501198e-02,\n",
       "              -2.33903697e-02, -2.60101510e-02,  5.73259871e-03,  4.99731638e-02,\n",
       "               4.36852947e-02,  4.76690754e-02, -5.39760338e-02,  2.38861591e-02,\n",
       "              -1.55819329e-02, -1.85606871e-02, -2.19556615e-02,  1.60620958e-02,\n",
       "              -8.09721351e-02,  3.70624592e-03,  4.38999292e-02,  1.29571053e-02,\n",
       "              -1.31400782e-02, -3.10803512e-02,  9.16982032e-02,  9.89924893e-02,\n",
       "               1.91349536e-05, -4.10310220e-03,  1.02960430e-02, -1.68854431e-02,\n",
       "               2.59171203e-02,  6.23533968e-02,  2.28229372e-02,  2.87048239e-02,\n",
       "               1.43998221e-01, -1.24765594e-01, -8.84842239e-02, -2.04950876e-02]),\n",
       "       array([ 1.87046618e-02,  6.12036884e-03, -3.56651549e-02,  5.93893168e-02,\n",
       "               1.05900465e-03,  1.55899056e-02,  1.57687482e-02,  4.82690052e-02,\n",
       "               2.42859566e-02, -6.58489292e-02,  3.82001996e-02,  9.69011643e-03,\n",
       "              -4.15019716e-02, -2.19182310e-02,  6.08537470e-02,  7.21298642e-02,\n",
       "               4.16068789e-02,  3.11975547e-02, -6.98602137e-03, -4.89019422e-02,\n",
       "               3.23912913e-03,  4.59995102e-02, -2.81088458e-02,  5.42253690e-02,\n",
       "               4.55225060e-02, -3.28444752e-02, -2.68206348e-02, -4.40331691e-02,\n",
       "              -2.30002978e-03, -7.97324131e-03,  3.44933166e-02,  7.42004414e-02,\n",
       "               6.57079269e-02, -1.43938903e-02,  4.06499282e-02,  6.54724023e-03,\n",
       "               3.65562327e-02,  1.05562369e-01, -1.92966428e-02, -7.70446472e-02,\n",
       "               8.83429932e-03, -2.94623251e-02,  1.02122836e-02, -4.32293738e-02,\n",
       "              -3.37186921e-02, -2.57327591e-02,  6.23598627e-02, -1.41544392e-02,\n",
       "               1.58608028e-02,  1.02484804e-02, -2.01327391e-02, -4.31453430e-02,\n",
       "              -4.59277527e-02,  4.79329359e-02,  5.12899446e-02,  2.79203405e-02,\n",
       "              -4.62453564e-02, -1.13299268e-01,  8.36303396e-03,  4.00123199e-02,\n",
       "              -8.25023589e-02,  4.75313072e-03,  3.02131395e-02,  3.23116640e-02,\n",
       "               6.49930929e-02, -4.42565909e-02, -2.15733005e-02,  2.56359732e-02,\n",
       "               2.35831986e-02,  1.46515090e-02, -9.72392410e-02, -9.42309635e-03,\n",
       "               3.54879089e-02, -2.44242147e-02,  2.27142072e-02,  3.27840634e-02,\n",
       "              -4.23712792e-02, -6.99811665e-02,  8.66282322e-02, -1.09796077e-02,\n",
       "              -4.22858562e-02, -5.19124151e-03, -4.40033680e-02, -1.79820623e-02,\n",
       "              -6.33068491e-02, -2.73917802e-03, -7.90877851e-02, -2.51022335e-02,\n",
       "              -1.30731144e-02, -4.03967798e-02, -3.30603284e-02,  5.98893501e-02,\n",
       "              -5.16645834e-02, -2.65666024e-02,  2.65032134e-02, -3.92772127e-02,\n",
       "               6.90807650e-03,  1.01555220e-02,  8.16035022e-02,  2.85972223e-02,\n",
       "              -2.31395851e-02,  1.07497030e-02, -4.08317590e-02, -4.17282109e-02,\n",
       "              -2.82277580e-02, -7.63552946e-03, -2.83031892e-02, -3.57910780e-02,\n",
       "               3.34270292e-02,  4.98682755e-02,  3.69779288e-02,  1.51539386e-02,\n",
       "              -6.67479338e-02,  2.17690145e-02, -3.17572076e-02, -1.76267745e-02,\n",
       "              -6.61954836e-02,  4.74217398e-02,  7.11645745e-03,  5.36232212e-02,\n",
       "               2.32306682e-02, -5.89186860e-02, -1.04388913e-02, -8.21597769e-02,\n",
       "              -5.71545027e-02,  4.38977703e-02, -1.79318835e-02, -5.81450357e-03,\n",
       "              -4.84464057e-02,  2.50882865e-03, -5.15277187e-02, -6.57386705e-03,\n",
       "              -6.88719042e-02, -1.21944882e-02, -5.38452131e-02,  1.94512693e-02,\n",
       "               2.09978817e-02,  6.14406417e-02,  3.19479164e-02,  4.69377602e-03,\n",
       "              -1.00482792e-02,  2.00803993e-02, -4.73333535e-02,  1.13493080e-01,\n",
       "               5.41794741e-02,  3.42662927e-03, -9.60533681e-02,  4.69571805e-02,\n",
       "               8.37055819e-03,  1.60245982e-02, -6.03274951e-02,  2.00526685e-01,\n",
       "              -1.93219427e-02, -1.30785520e-03,  4.79478327e-02, -4.36969933e-02,\n",
       "               5.76133523e-02, -6.91587292e-02,  4.02709376e-02,  2.18213481e-02,\n",
       "               1.61574160e-03,  3.26006471e-02, -3.15335815e-02, -6.88999457e-02,\n",
       "              -4.23376647e-02,  5.05835594e-03, -5.90313363e-02,  5.56018439e-02,\n",
       "              -2.55539678e-02,  3.40386486e-02, -1.14876274e-02, -5.13091465e-02,\n",
       "              -5.77954451e-03, -3.00516021e-02,  7.28345836e-02,  6.92263215e-02,\n",
       "               1.07031386e-01, -3.48379413e-02,  1.47906778e-02, -2.26133798e-02,\n",
       "              -3.14680779e-02,  2.82173480e-03,  4.22238605e-04, -6.70580479e-02,\n",
       "              -5.44041730e-02,  4.50065965e-03, -2.16716876e-02,  7.83821335e-03,\n",
       "              -1.95829769e-02,  4.43190110e-02,  2.48475634e-02,  9.40036004e-02,\n",
       "              -7.52357083e-02, -7.22624039e-02,  1.39184998e-02,  4.95810295e-03,\n",
       "               1.16930610e-02, -2.62285878e-02,  4.01168500e-02, -3.42139782e-02,\n",
       "              -1.09854129e-02, -6.40695604e-04, -6.88060249e-02, -2.11992289e-02,\n",
       "               1.59198147e-02, -7.17377334e-02, -2.40726440e-02, -3.91919843e-02,\n",
       "              -8.63077516e-02,  6.86609137e-02, -3.14932497e-02,  9.99055182e-03,\n",
       "              -2.00466141e-02, -1.91217021e-02,  5.31832886e-02,  2.30201570e-02,\n",
       "               2.95491707e-02,  4.10746187e-02, -5.71358527e-02, -1.88272524e-03,\n",
       "              -8.81109526e-03,  1.78458362e-02, -2.08202734e-03,  7.08692591e-03,\n",
       "               3.32683437e-02, -1.92541915e-02, -2.00447527e-02,  2.86981054e-02,\n",
       "              -3.87364080e-02, -2.93475563e-02, -1.05162903e-02, -5.98118603e-02,\n",
       "              -1.04253600e-01,  3.01378264e-02,  2.27025390e-02, -8.02999983e-04,\n",
       "               6.88383263e-02,  6.19226322e-02, -5.25827774e-02, -7.16751820e-02,\n",
       "              -9.31464244e-03, -4.57882360e-02, -4.63206290e-02,  2.23736508e-02,\n",
       "              -3.77402212e-02,  8.89590519e-02,  4.32583118e-02, -1.14896653e-01,\n",
       "              -3.12493990e-03, -5.37352376e-02, -2.10958154e-02, -2.78335329e-03,\n",
       "              -1.23391912e-02,  2.79837033e-02, -5.49118267e-03, -2.59898454e-02,\n",
       "               7.18431678e-02, -1.78742750e-02, -1.71224299e-02,  2.52640837e-02,\n",
       "              -2.33196814e-02,  3.62533393e-02, -3.86601755e-02, -1.87586577e-02,\n",
       "               5.78530009e-03,  5.59313564e-03,  9.12454103e-03, -4.86173524e-02,\n",
       "               2.21316045e-02, -2.83940385e-03,  3.47327231e-02,  6.47752664e-02,\n",
       "               4.26233007e-02, -5.65064450e-06, -3.59369034e-02, -3.14536076e-02,\n",
       "              -2.25603258e-02, -2.22390536e-02, -4.16069602e-03, -2.93429904e-02,\n",
       "              -4.17592724e-02, -3.66764671e-02,  4.26124598e-02,  6.95067147e-03,\n",
       "              -2.92543272e-02, -2.83003974e-02,  2.29097861e-02,  6.35674534e-03,\n",
       "              -3.77581267e-03, -5.43498714e-02, -1.98749602e-02,  6.54700771e-03,\n",
       "              -3.84472477e-02,  3.97963375e-02, -1.21103078e-02, -9.81859521e-03,\n",
       "               1.51496893e-02, -6.53975954e-02, -6.47673483e-02, -4.58766098e-02]),\n",
       "       array([ 0.02049217,  0.0021456 ,  0.00871859,  0.06324365,  0.01404463,\n",
       "               0.02335722, -0.01374738,  0.04862846,  0.0499683 , -0.05411481,\n",
       "               0.08100033, -0.00827085, -0.06447936, -0.08801093,  0.05928915,\n",
       "               0.08650448, -0.02090355,  0.04112724,  0.04711068, -0.06678671,\n",
       "              -0.00766321,  0.02317346, -0.07944176,  0.02163501,  0.00846653,\n",
       "               0.00035518, -0.00285369,  0.01026506,  0.01602703,  0.00138875,\n",
       "               0.01433797,  0.0863538 ,  0.07895032, -0.05233363,  0.01481336,\n",
       "              -0.01639753, -0.00925541,  0.11018135, -0.04050806,  0.0004488 ,\n",
       "              -0.01207727, -0.07406003,  0.05401859, -0.07417399, -0.05239367,\n",
       "              -0.05512562,  0.06582336, -0.06914521, -0.02952997, -0.01270323,\n",
       "              -0.09024538,  0.0352103 , -0.0353001 ,  0.02724892,  0.08230497,\n",
       "              -0.07496912, -0.03746178, -0.07392969,  0.01565867,  0.01709869,\n",
       "               0.01384887,  0.02877718,  0.07560543,  0.04335224,  0.02657183,\n",
       "              -0.03445847, -0.01373916, -0.02421915,  0.00437925,  0.03858124,\n",
       "               0.0068077 , -0.01126909,  0.00751737, -0.01934453,  0.01755174,\n",
       "               0.00403904, -0.07928501, -0.03118511,  0.01077862, -0.07885796,\n",
       "              -0.04183137,  0.01511427, -0.1037661 , -0.04657642, -0.07215728,\n",
       "              -0.04746256, -0.04841974, -0.04848704, -0.05098919, -0.05264304,\n",
       "              -0.01548728,  0.03920135, -0.0369186 , -0.09787203, -0.04947938,\n",
       "              -0.05924041, -0.05397233,  0.0059309 ,  0.04343973,  0.03767655,\n",
       "               0.03385841, -0.05094652, -0.0540677 , -0.01830058,  0.04263411,\n",
       "              -0.02613314,  0.00693247,  0.02053662, -0.08364769,  0.03334129,\n",
       "              -0.01259628,  0.04473793, -0.01651503,  0.03626921, -0.02761828,\n",
       "              -0.00510655, -0.05519408, -0.04317827,  0.04171183,  0.01181467,\n",
       "               0.02416459,  0.0100367 , -0.04091233, -0.03763122, -0.07351281,\n",
       "              -0.03619653, -0.07061935, -0.01996292, -0.07739143,  0.00505629,\n",
       "              -0.08152606,  0.02180873, -0.06578993,  0.05850015, -0.07929643,\n",
       "               0.00823354,  0.0198993 , -0.03039506,  0.0623735 , -0.04078204,\n",
       "               0.01006   ,  0.02925961, -0.00041016,  0.14021653,  0.05263521,\n",
       "              -0.00930006, -0.06017522,  0.06055246,  0.05025555,  0.0243589 ,\n",
       "              -0.02330443,  0.12767779, -0.00787831, -0.0152317 ,  0.02698393,\n",
       "               0.0008677 , -0.06383192, -0.05731344,  0.03985086,  0.03738041,\n",
       "              -0.10529618,  0.00568707, -0.04105921, -0.07332128, -0.08447299,\n",
       "               0.06529977,  0.01890059,  0.02031438, -0.00411435, -0.00894355,\n",
       "               0.06040507, -0.05574089, -0.03988699,  0.01207047,  0.12916834,\n",
       "               0.09197507,  0.06761747,  0.0534486 , -0.03692583, -0.03367814,\n",
       "               0.00440556,  0.04108313,  0.0233009 ,  0.03688686, -0.05965704,\n",
       "               0.04605137,  0.0146204 ,  0.00166288, -0.0590212 , -0.00073908,\n",
       "               0.05991293,  0.06622852, -0.05154771, -0.05890676,  0.00842114,\n",
       "              -0.02229962,  0.06753071,  0.02426911,  0.05150567, -0.03632217,\n",
       "               0.00369832, -0.00105208, -0.03178159, -0.02577357, -0.11641032,\n",
       "              -0.11986794,  0.01018541, -0.00305446, -0.06845311, -0.00767921,\n",
       "              -0.03254309,  0.06739453, -0.07714639, -0.00418213, -0.03218138,\n",
       "              -0.00125309, -0.0523432 ,  0.02257923, -0.00616384,  0.04701786,\n",
       "              -0.03563625,  0.04356469,  0.00287602, -0.06535879,  0.03840293,\n",
       "               0.00554396,  0.06912127, -0.00667278, -0.07361768, -0.08237351,\n",
       "              -0.01412438,  0.07171649, -0.07306366, -0.04017024,  0.04648829,\n",
       "              -0.03594199, -0.00015449,  0.00976496, -0.06681976,  0.00810016,\n",
       "              -0.01280657, -0.03700799, -0.03055438,  0.08725077, -0.09688064,\n",
       "               0.05091631,  0.04619709, -0.03160196, -0.02824477,  0.02143284,\n",
       "              -0.00241529, -0.08425686,  0.00443952,  0.04213266, -0.01343008,\n",
       "               0.02771512, -0.03221947,  0.08848095,  0.00577808,  0.01905226,\n",
       "              -0.06366997,  0.03122599, -0.06419549,  0.00212055, -0.00255936,\n",
       "               0.04254873,  0.05349598, -0.06759274,  0.10073447, -0.00127471,\n",
       "              -0.01319731,  0.07932243,  0.06406384,  0.04700094, -0.09063349,\n",
       "              -0.02623618, -0.05507613,  0.00458012,  0.04659966,  0.04116116,\n",
       "              -0.03947598, -0.01251454, -0.03322926,  0.06597273,  0.00743462,\n",
       "              -0.02875293, -0.00481872, -0.01274632, -0.02312732,  0.01579223,\n",
       "              -0.06052853,  0.04180411,  0.0516253 ,  0.0255463 ,  0.02756442,\n",
       "               0.01301245,  0.08274248, -0.0341052 , -0.06145555, -0.0505015 ]),\n",
       "       array([ 0.05075602, -0.00214217, -0.02356473,  0.08858   ,  0.03185956,\n",
       "               0.01729041, -0.00307447,  0.03920522,  0.03993395, -0.04774462,\n",
       "               0.0616466 , -0.08262417, -0.02294337, -0.02041273,  0.05211719,\n",
       "               0.0524051 , -0.00110245,  0.04795713, -0.01013076, -0.02864286,\n",
       "               0.01448327,  0.05492509, -0.06207594,  0.0286039 ,  0.03306808,\n",
       "              -0.03696657,  0.01881425, -0.03378366, -0.00804867, -0.01527056,\n",
       "               0.0337683 ,  0.02375951,  0.08668866, -0.01557232,  0.00912739,\n",
       "               0.05079198, -0.0168867 ,  0.04228387, -0.03619903, -0.01513901,\n",
       "               0.02503604, -0.03691865, -0.02613123, -0.06111351, -0.03154819,\n",
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       "               9.31044072e-02,  2.98230862e-03,  1.11013845e-01,  2.17184685e-02,\n",
       "              -4.54251617e-02,  2.61525786e-03, -5.12930341e-02, -2.62278263e-02,\n",
       "               1.17742434e-01,  2.40083653e-02, -1.12006262e-01,  1.64411124e-02])],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 202,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_categories['name_vec']"
   ]
  }
 ],
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