Emojify.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Emojify!\n",
    "\n",
    "we have always struggle to make our text messages more expressive !! \n",
    "such as we text \"Let's play football!\" and search for most appropriate emoji to this sentence. \n",
    "\n",
    "So rather than searching the most appropirate emoji to your sentence \"Let's play football\"  \n",
    "this model can automatically turn this into \"Let's play football⚽\"\n",
    "\n"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "#Goal of the project\n",
    "We will be building an  Model by using word vector representations. Our model will take an input sentence and find the most appropriate emoji to be used with this sentence - from an assortment of 5 emoji's at its disposal.\n",
    "❤️ ⚽ 😇 😞 🍜"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "GloVe: Global Vectors for Word Representation Content\n",
    "This dataset contains English word vectors pre-trained on the combined Wikipedia 2014 + Gigaword 5th Edition corpora (6B tokens, 400K vocab). All tokens are in lowercase. This dataset contains 50-dimensional, pre trained word vectors.\n",
    "\n",
    "Link :- https://www.kaggle.com/rtatman/glove-global"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Loading The Dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Including required  libraries\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import emoji\n",
    "from keras.preprocessing.text import one_hot\n",
    "from keras.models import Sequential\n",
    "from keras.preprocessing.sequence import pad_sequences #size of sentences to be same \n",
    "from keras.layers import Dense, Input, Dropout,LSTM, Activation, Embedding\n",
    "from keras.utils import np_utils\n",
    "import matplotlib.pyplot as plt\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# reading train emoji and test emoji data which are attached in the repo\n",
    "train = pd.read_csv('Datasets/train_emoji.csv',header=None)\n",
    "test = pd.read_csv('Datasets/test_emoji.csv',header=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The shape of training datsets (315, 4)\n",
      "---------------------------------------\n",
      "                                 0  1   2     3\n",
      "0           never talk to me again  3 NaN   NaN\n",
      "1  I am proud of your achievements  2 NaN   NaN\n",
      "2   It is the worst day in my life  3 NaN   NaN\n",
      "3                 Miss you so much  0 NaN   [0]\n",
      "4                     food is life  4 NaN   NaN\n"
     ]
    }
   ],
   "source": [
    "#We need to use only the first two columns. First column contains the sentence and the second \n",
    "#column contains the Emoji associated with the sentence.\n",
    "print(\"The shape of training datsets\",train.shape)\n",
    "print(\"---------------------------------------\")\n",
    "print(train.head())\n",
    "#test-"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creating dictionary for some emoji's, consisting of key - number and value - emoji \n",
    "emoji_dict = { 0 :\"\\u2764\\uFE0F\", 1 : \":soccer_ball:\", 2 : \":smiling_face_with_halo:\",\n",
    "              3 : \":disappointed_face:\", 4 : \":steaming_bowl:\"}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 ❤️\n",
      "1 ⚽\n",
      "2 😇\n",
      "3 😞\n",
      "4 🍜\n"
     ]
    }
   ],
   "source": [
    "# Printing each emoji icon by emojizing each emoji\n",
    "for ix in emoji_dict.keys():\n",
    "    print (ix,end=\" \")\n",
    "    print (emoji.emojize(emoji_dict[ix], use_aliases=True))"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Text Preprocessing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(315,) (315,) (56,) (56,)\n",
      "-------------------------\n",
      "I love you mum\n",
      "Miss you so much ❤️\n"
     ]
    }
   ],
   "source": [
    "# sppliting training datasets \n",
    "X_train = train[0]\n",
    "Y_train = train[1]\n",
    "\n",
    "##split test datasets \n",
    "X_test = test[0]\n",
    "Y_test = test[1]\n",
    "\n",
    "print (X_train.shape, Y_train.shape, X_test.shape, Y_test.shape)\n",
    "print (\"-------------------------\")\n",
    "print (X_train[5])\n",
    "print (X_train[3],emoji.emojize(emoji_dict[Y_train[3]]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "maxLen = len(max(X_train, key=len).split())\n",
    "maxLen"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "The input of the model is a string corresponding to a sentence (e.g. \"I like you). In the code, the output will be a probability vector of shape (1,5), that you then pass in an argmax layer to extract the index of the most likely emoji output.\n",
    "\n",
    "To get our labels into a format suitable for training a softmax classifier, lets convert Y from its current shape current shape (m, 1) into a  (m, 5) where each row is a one-hot vector giving the label of one example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "voc_size = 40000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "## sentences converted into lists of indices  \n",
    "onehot_repr=[one_hot(word, voc_size) for word in X_train]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[24448, 35837, 37392, 32012]\n",
      "[9607, 37392, 23681, 5020]\n"
     ]
    }
   ],
   "source": [
    "print(onehot_repr[5])\n",
    "print(onehot_repr[3])"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "deep learning frameworks require that all sequences  having the same length so that vectorization can perform."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[24448 35837 37392 32012     0     0     0     0     0     0]\n",
      "[ 9607 37392 23681  5020     0     0     0     0     0     0]\n"
     ]
    }
   ],
   "source": [
    "embedded_doc =pad_sequences(onehot_repr, padding='post',\n",
    "                            maxlen=maxLen)\n",
    "print(embedded_doc[5])\n",
    "print(embedded_doc[3])"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    3\n",
       "1    2\n",
       "2    3\n",
       "3    0\n",
       "4    4\n",
       "Name: 1, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y_train[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Splitting the train data from sentences to words\n",
    "for ix in range(X_train.shape[0]):\n",
    "    X_train[ix] = X_train[ix].split()\n",
    "\n",
    "#Splitting the test data from sentences to words\n",
    "for ix in range(X_test.shape[0]):\n",
    "    X_test[ix] = X_test[ix].split()\n",
    "    \n",
    "# by np_utilis package Converting labels into categorical form\n",
    "Y_train = np_utils.to_categorical(Y_train) #Converts a class vector (integers) to binary class matrix.\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0., 0., 0., 1., 0.],\n",
       "       [0., 0., 1., 0., 0.],\n",
       "       [0., 0., 0., 1., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., 1., 0.],\n",
       "       [0., 1., 0., 0., 0.],\n",
       "       [0., 0., 1., 0., 0.]], dtype=float32)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y_train\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                 [never, talk, to, me, again]\n",
       "1       [I, am, proud, of, your, achievements]\n",
       "2      [It, is, the, worst, day, in, my, life]\n",
       "3                        [Miss, you, so, much]\n",
       "4                             [food, is, life]\n",
       "                        ...                   \n",
       "310                  [lets, brunch, some, day]\n",
       "311                          [dance, with, me]\n",
       "312                        [she, is, a, bully]\n",
       "313                     [she, plays, baseball]\n",
       "314         [I, like, it, when, people, smile]\n",
       "Name: 0, Length: 315, dtype: object"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# GloVe for Vectorization\n",
    "Here we have used GloVe pre-trained corpus model to represent our words.\n",
    "It was available in 3 varieties :50D ,100D and 200 Dimentional.\n",
    "We have used 50-Dimensional here because the Dataset is small. "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "#About the text file\n",
    "Each line of the text file contains a word, followed by N numbers. The N numbers describe the vector of the word’s position."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "embeddings_dict = {}\n",
    "#we need to loop through each line in the file,and split the line by every space, \n",
    "#into each of its components.\n",
    "with open(\"Datasets/glove.6B.50d.txt\", 'r', encoding='utf-8') as f:\n",
    "    for line in f:\n",
    "        values = line.split()\n",
    "        #After splitting the line, we make the assumption the word does not have any \n",
    "        #spaces in it, and set it equal the first (or zeroth) element of the split line.\n",
    "        token = values[0]\n",
    "        # and convert it into a Numpy array this is the vector of the word’s position\n",
    "        vector = np.asarray(values[1:], \"float32\")\n",
    "        embeddings_dict[token] = vector\n",
    "        "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "#Finding Similar Vectors\n",
    "We can get a list of such words by calling embeddings_dict.keys()."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy import spatial\n",
    "def find_closest_embeddings(embedding, cutoff=25):\n",
    "    return sorted(embeddings_dict.keys(), key=lambda token: spatial.distance.\n",
    "                  euclidean(embeddings_dict[token],embedding))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['football', 'soccer', 'league', 'basketball', 'club']\n"
     ]
    }
   ],
   "source": [
    "print(find_closest_embeddings(embeddings_dict[\"football\"])[:5]) #slice of 5 words"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "if the cosine similiarity value is 0 thats means cos 90* , having more distance between the two vector. if the cosine sim value is nea to 1 , thats means the distanace is least "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0\n"
     ]
    }
   ],
   "source": [
    "# Checking cosine similarity of words happy and sad\n",
    "cosine_similarity = 1-spatial.distance.cosine(embeddings_dict[\"happy\"], embeddings_dict[\"happy\"])\n",
    "print(cosine_similarity)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.2317054271697998"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking cosine similarity of words happy and sad\n",
    "spatial.distance.cosine(embeddings_dict[\"love\"], embeddings_dict[\"like\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "##into vector "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Filling the embedding matrix maxlen=10 ; max-dimension=50\n",
    "embeddings_dict_train = np.zeros((X_train.shape[0], 10, 50))\n",
    "embeddings_dict_test = np.zeros((X_test.shape[0], 10, 50))\n",
    "\n",
    "for ix in range(X_train.shape[0]):\n",
    "    for ij in range(len(X_train[ix])):\n",
    "        embeddings_dict_train[ix][ij] = embeddings_dict[X_train[ix][ij].lower()]\n",
    "        \n",
    "for ix in range(X_test.shape[0]):\n",
    "    for ij in range(len(X_test[ix])):\n",
    "        embeddings_dict_test[ix][ij] =embeddings_dict[X_test[ix][ij].lower()]  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'the': array([ 4.1800e-01,  2.4968e-01, -4.1242e-01,  1.2170e-01,  3.4527e-01,\n",
       "        -4.4457e-02, -4.9688e-01, -1.7862e-01, -6.6023e-04, -6.5660e-01,\n",
       "         2.7843e-01, -1.4767e-01, -5.5677e-01,  1.4658e-01, -9.5095e-03,\n",
       "         1.1658e-02,  1.0204e-01, -1.2792e-01, -8.4430e-01, -1.2181e-01,\n",
       "        -1.6801e-02, -3.3279e-01, -1.5520e-01, -2.3131e-01, -1.9181e-01,\n",
       "        -1.8823e+00, -7.6746e-01,  9.9051e-02, -4.2125e-01, -1.9526e-01,\n",
       "         4.0071e+00, -1.8594e-01, -5.2287e-01, -3.1681e-01,  5.9213e-04,\n",
       "         7.4449e-03,  1.7778e-01, -1.5897e-01,  1.2041e-02, -5.4223e-02,\n",
       "        -2.9871e-01, -1.5749e-01, -3.4758e-01, -4.5637e-02, -4.4251e-01,\n",
       "         1.8785e-01,  2.7849e-03, -1.8411e-01, -1.1514e-01, -7.8581e-01],\n",
       "       dtype=float32),\n",
       " ',': array([ 0.013441,  0.23682 , -0.16899 ,  0.40951 ,  0.63812 ,  0.47709 ,\n",
       "        -0.42852 , -0.55641 , -0.364   , -0.23938 ,  0.13001 , -0.063734,\n",
       "        -0.39575 , -0.48162 ,  0.23291 ,  0.090201, -0.13324 ,  0.078639,\n",
       "        -0.41634 , -0.15428 ,  0.10068 ,  0.48891 ,  0.31226 , -0.1252  ,\n",
       "        -0.037512, -1.5179  ,  0.12612 , -0.02442 , -0.042961, -0.28351 ,\n",
       "         3.5416  , -0.11956 , -0.014533, -0.1499  ,  0.21864 , -0.33412 ,\n",
       "        -0.13872 ,  0.31806 ,  0.70358 ,  0.44858 , -0.080262,  0.63003 ,\n",
       "         0.32111 , -0.46765 ,  0.22786 ,  0.36034 , -0.37818 , -0.56657 ,\n",
       "         0.044691,  0.30392 ], dtype=float32),\n",
       " '.': array([ 1.5164e-01,  3.0177e-01, -1.6763e-01,  1.7684e-01,  3.1719e-01,\n",
       "         3.3973e-01, -4.3478e-01, -3.1086e-01, -4.4999e-01, -2.9486e-01,\n",
       "         1.6608e-01,  1.1963e-01, -4.1328e-01, -4.2353e-01,  5.9868e-01,\n",
       "         2.8825e-01, -1.1547e-01, -4.1848e-02, -6.7989e-01, -2.5063e-01,\n",
       "         1.8472e-01,  8.6876e-02,  4.6582e-01,  1.5035e-02,  4.3474e-02,\n",
       "        -1.4671e+00, -3.0384e-01, -2.3441e-02,  3.0589e-01, -2.1785e-01,\n",
       "         3.7460e+00,  4.2284e-03, -1.8436e-01, -4.6209e-01,  9.8329e-02,\n",
       "        -1.1907e-01,  2.3919e-01,  1.1610e-01,  4.1705e-01,  5.6763e-02,\n",
       "        -6.3681e-05,  6.8987e-02,  8.7939e-02, -1.0285e-01, -1.3931e-01,\n",
       "         2.2314e-01, -8.0803e-02, -3.5652e-01,  1.6413e-02,  1.0216e-01],\n",
       "       dtype=float32),\n",
       " 'of': array([ 0.70853  ,  0.57088  , -0.4716   ,  0.18048  ,  0.54449  ,\n",
       "         0.72603  ,  0.18157  , -0.52393  ,  0.10381  , -0.17566  ,\n",
       "         0.078852 , -0.36216  , -0.11829  , -0.83336  ,  0.11917  ,\n",
       "        -0.16605  ,  0.061555 , -0.012719 , -0.56623  ,  0.013616 ,\n",
       "         0.22851  , -0.14396  , -0.067549 , -0.38157  , -0.23698  ,\n",
       "        -1.7037   , -0.86692  , -0.26704  , -0.2589   ,  0.1767   ,\n",
       "         3.8676   , -0.1613   , -0.13273  , -0.68881  ,  0.18444  ,\n",
       "         0.0052464, -0.33874  , -0.078956 ,  0.24185  ,  0.36576  ,\n",
       "        -0.34727  ,  0.28483  ,  0.075693 , -0.062178 , -0.38988  ,\n",
       "         0.22902  , -0.21617  , -0.22562  , -0.093918 , -0.80375  ],\n",
       "       dtype=float32),\n",
       " 'to': array([ 0.68047 , -0.039263,  0.30186 , -0.17792 ,  0.42962 ,  0.032246,\n",
       "        -0.41376 ,  0.13228 , -0.29847 , -0.085253,  0.17118 ,  0.22419 ,\n",
       "        -0.10046 , -0.43653 ,  0.33418 ,  0.67846 ,  0.057204, -0.34448 ,\n",
       "        -0.42785 , -0.43275 ,  0.55963 ,  0.10032 ,  0.18677 , -0.26854 ,\n",
       "         0.037334, -2.0932  ,  0.22171 , -0.39868 ,  0.20912 , -0.55725 ,\n",
       "         3.8826  ,  0.47466 , -0.95658 , -0.37788 ,  0.20869 , -0.32752 ,\n",
       "         0.12751 ,  0.088359,  0.16351 , -0.21634 , -0.094375,  0.018324,\n",
       "         0.21048 , -0.03088 , -0.19722 ,  0.082279, -0.09434 , -0.073297,\n",
       "        -0.064699, -0.26044 ], dtype=float32),\n",
       " 'and': array([ 0.26818 ,  0.14346 , -0.27877 ,  0.016257,  0.11384 ,  0.69923 ,\n",
       "        -0.51332 , -0.47368 , -0.33075 , -0.13834 ,  0.2702  ,  0.30938 ,\n",
       "        -0.45012 , -0.4127  , -0.09932 ,  0.038085,  0.029749,  0.10076 ,\n",
       "        -0.25058 , -0.51818 ,  0.34558 ,  0.44922 ,  0.48791 , -0.080866,\n",
       "        -0.10121 , -1.3777  , -0.10866 , -0.23201 ,  0.012839, -0.46508 ,\n",
       "         3.8463  ,  0.31362 ,  0.13643 , -0.52244 ,  0.3302  ,  0.33707 ,\n",
       "        -0.35601 ,  0.32431 ,  0.12041 ,  0.3512  , -0.069043,  0.36885 ,\n",
       "         0.25168 , -0.24517 ,  0.25381 ,  0.1367  , -0.31178 , -0.6321  ,\n",
       "        -0.25028 , -0.38097 ], dtype=float32),\n",
       " 'in': array([ 0.33042  ,  0.24995  , -0.60874  ,  0.10923  ,  0.036372 ,\n",
       "         0.151    , -0.55083  , -0.074239 , -0.092307 , -0.32821  ,\n",
       "         0.09598  , -0.82269  , -0.36717  , -0.67009  ,  0.42909  ,\n",
       "         0.016496 , -0.23573  ,  0.12864  , -1.0953   ,  0.43334  ,\n",
       "         0.57067  , -0.1036   ,  0.20422  ,  0.078308 , -0.42795  ,\n",
       "        -1.7984   , -0.27865  ,  0.11954  , -0.12689  ,  0.031744 ,\n",
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       "         0.01686  , -0.44871  , -0.04146  , -1.1136   ,  0.17488  ,\n",
       "         0.49561  , -0.38238  ,  0.30185  , -0.70675  , -0.35891  ,\n",
       "        -1.5164   , -0.024403 , -0.54107  , -0.36163  ,  0.52803  ,\n",
       "         3.6553   ,  0.71214  , -0.16995  ,  0.36368  ,  0.3399   ,\n",
       "        -0.48186  ,  0.10936  ,  0.61428  ,  0.15697  , -0.70716  ,\n",
       "        -1.2359   , -0.014258 ,  0.095588 , -0.30634  , -0.49741  ,\n",
       "        -0.049394 , -0.16697  ,  0.11972  , -0.37511  ,  0.098348 ],\n",
       "       dtype=float32),\n",
       " 'there': array([ 0.68491 ,  0.32385 , -0.11592 , -0.35925 ,  0.49889 ,  0.042541,\n",
       "        -0.40153 , -0.36793 , -0.61441 , -0.41148 , -0.3482  , -0.21952 ,\n",
       "        -0.22393 , -0.64966 ,  0.85443 ,  0.33582 ,  0.2931  ,  0.16552 ,\n",
       "        -0.55082 , -0.61277 , -0.14768 ,  0.47551 ,  0.65877 , -0.07103 ,\n",
       "         0.56147 , -1.2651  , -0.74117 ,  0.36365 ,  0.5623  , -0.27365 ,\n",
       "         3.8506  ,  0.27645 , -0.1009  , -0.71568 ,  0.18511 , -0.12312 ,\n",
       "         0.56631 , -0.22377 , -0.016831,  0.57539 , -0.51761 ,  0.033823,\n",
       "         0.19643 ,  0.63498 , -0.24866 ,  0.038716, -0.50559 ,  0.17874 ,\n",
       "        -0.1693  ,  0.062375], dtype=float32),\n",
       " 'all': array([ 0.19253 ,  0.10006 ,  0.063798, -0.087664,  0.52217 ,  0.39105 ,\n",
       "        -0.41975 , -0.45671 , -0.34053 , -0.11175 ,  0.014754,  0.31734 ,\n",
       "        -0.50853 , -0.1156  ,  0.74303 ,  0.097618,  0.34407 , -0.1213  ,\n",
       "        -0.16938 , -0.84088 , -0.11231 ,  0.40602 ,  0.76801 ,  0.091138,\n",
       "         0.10782 , -1.2673  , -0.57709 , -0.36208 ,  0.34824 , -0.75458 ,\n",
       "         4.0426  ,  0.94967 , -0.22668 , -0.35777 ,  0.3413  ,  0.13072 ,\n",
       "         0.23045 , -0.036997, -0.25889 ,  0.12977 , -0.39031 , -0.049607,\n",
       "         0.45766 ,  0.56782 , -0.46165 ,  0.41933 , -0.5492  ,  0.081191,\n",
       "        -0.30485 , -0.30513 ], dtype=float32),\n",
       " '--': array([ 4.9806e-01,  1.2382e+00,  8.6976e-01,  2.5293e-03, -5.6263e-01,\n",
       "        -3.8781e-01, -4.7155e-01, -9.5717e-01, -1.2314e-01,  6.3262e-01,\n",
       "        -7.3375e-01, -6.3457e-02, -6.6477e-01,  6.8096e-01,  6.3595e-01,\n",
       "         8.1748e-01,  1.5183e-01, -9.7582e-01,  2.3674e-01,  1.7767e-01,\n",
       "        -4.1731e-01,  1.2586e-01,  8.8072e-01, -4.9402e-02, -8.3049e-01,\n",
       "        -2.4283e+00, -1.3054e+00,  1.6500e-01, -5.6037e-02, -1.1953e-02,\n",
       "         3.0108e+00,  8.9362e-01, -4.9819e-01,  5.6545e-01,  9.5535e-01,\n",
       "        -6.8507e-01, -1.4520e-01,  1.4026e-01,  2.2841e-01,  1.9770e-01,\n",
       "        -9.2491e-01,  1.5205e+00,  8.1055e-01,  5.9992e-02,  8.3629e-01,\n",
       "         1.7134e-01, -5.2620e-01, -1.5750e-01,  1.7409e-01,  1.0790e-01],\n",
       "       dtype=float32),\n",
       " 'out': array([ 3.2112e-01, -6.9306e-01,  4.7922e-01, -5.4602e-01,  2.8352e-01,\n",
       "         2.0346e-01, -9.8445e-01, -1.4103e-01, -1.3147e-01, -8.5975e-02,\n",
       "        -4.9509e-01,  2.7600e-03, -1.1173e+00,  3.3729e-01,  6.1312e-01,\n",
       "        -6.7110e-02,  3.5380e-01, -3.5183e-01, -5.8191e-01, -6.9525e-01,\n",
       "        -2.5032e-02,  6.1675e-01,  7.8522e-01, -1.9594e-01,  2.6324e-01,\n",
       "        -1.8976e+00,  1.4645e-01,  4.8885e-01,  6.1818e-01, -1.0120e+00,\n",
       "         3.7285e+00,  6.6615e-01, -3.3364e-01,  3.1896e-01, -1.5174e-01,\n",
       "         3.0980e-01,  4.9670e-02,  2.7144e-01,  3.4595e-01, -8.1850e-02,\n",
       "        -3.7469e-01,  3.9981e-01,  8.4925e-02,  3.1237e-01, -1.2677e-01,\n",
       "         3.6322e-02, -6.9533e-02, -4.3547e-01, -1.1080e-01, -5.8500e-01],\n",
       "       dtype=float32),\n",
       " 'she': array([ 6.0382e-02,  3.7821e-01, -7.5142e-01, -7.2159e-01,  5.8648e-01,\n",
       "         7.9126e-01, -7.2947e-01,  6.8248e-01, -1.2999e-01, -2.2988e-01,\n",
       "         1.1595e-01,  2.2427e-01, -4.4679e-01, -1.1515e-01,  1.0334e+00,\n",
       "        -8.8019e-02, -7.8531e-01,  3.4305e-01, -1.1457e-01, -1.1905e-01,\n",
       "         4.5883e-01,  1.6333e+00,  6.8546e-01,  2.2308e-01,  1.0099e+00,\n",
       "        -2.6332e+00, -5.2128e-01,  2.5665e-01,  2.3468e-02, -8.2616e-01,\n",
       "         3.1084e+00,  2.7219e-01, -2.9227e-01, -4.7259e-01, -1.2297e-01,\n",
       "        -1.3545e-01,  1.1192e-01,  8.6438e-01,  3.3121e-01, -9.6616e-01,\n",
       "        -4.4785e-02, -6.6740e-02,  3.0367e-03, -3.3905e-01,  1.7784e-02,\n",
       "        -5.8499e-01, -5.0140e-03, -1.2570e+00, -6.0723e-02,  4.2247e-01],\n",
       "       dtype=float32),\n",
       " 'other': array([ 0.64756 ,  0.16    ,  0.029191,  0.35118 ,  0.089119,  0.61115 ,\n",
       "        -0.66362 , -0.51724 , -0.46521 , -0.08845 ,  0.0502  ,  0.26329 ,\n",
       "         0.12407 ,  0.043832,  0.17283 ,  0.01317 ,  0.14168 , -0.15827 ,\n",
       "        -0.10427 , -0.9307  ,  0.21646 , -0.10753 ,  0.62087 ,  0.36761 ,\n",
       "        -0.48144 , -1.28    , -0.55152 , -0.72023 , -0.17097 , -0.47993 ,\n",
       "         4.0165  ,  0.47054 ,  0.093614, -0.86341 ,  0.50881 ,  0.33353 ,\n",
       "        -0.35962 , -0.16648 , -0.31803 ,  0.49003 , -0.36697 ,  0.32051 ,\n",
       "         0.70932 ,  0.62878 ,  0.70128 ,  0.1302  , -0.73769 ,  0.10325 ,\n",
       "        -0.30964 , -0.44213 ], dtype=float32),\n",
       " 'people': array([ 0.95281  , -0.20608  ,  0.55618  , -0.46323  ,  0.73354  ,\n",
       "         0.029137 , -0.19367  , -0.090066 , -0.22958  , -0.19058  ,\n",
       "        -0.34857  , -1.0231   ,  0.743    , -0.5489   ,  0.88484  ,\n",
       "        -0.14051  ,  0.0040139,  0.58448  ,  0.10767  , -0.44657  ,\n",
       "        -0.43205  ,  0.9868   ,  0.78288  ,  0.51513  ,  0.85788  ,\n",
       "        -1.7713   , -0.88259  , -0.59728  ,  0.084934 , -0.48112  ,\n",
       "         3.9678   ,  0.8893   , -0.27064  , -0.44094  , -0.26213  ,\n",
       "         0.085597 ,  0.022099 , -0.58376  ,  0.10908  ,  0.77973  ,\n",
       "        -0.95447  ,  0.40482  ,  0.8941   ,  0.65251  ,  0.39858  ,\n",
       "         0.20884  , -1.3281   , -0.10882  , -0.22822  , -0.46303  ],\n",
       "       dtype=float32),\n",
       " \"n't\": array([ 0.028702, -0.2163  ,  0.27153 , -0.28594 ,  0.42404 , -0.18155 ,\n",
       "        -0.85966 ,  0.30447 , -0.51645 ,  0.3559  , -0.10131 ,  0.8152  ,\n",
       "        -0.77987 , -0.044123,  1.3768  ,  0.96711 ,  0.59098 , -0.16521 ,\n",
       "         0.094372, -1.2292  , -0.59056 ,  0.42275 ,  0.52645 ,  0.17536 ,\n",
       "         0.62117 , -2.3875  , -0.90795 ,  0.26418 ,  1.1507  , -1.4289  ,\n",
       "         3.511   ,  0.96796 , -0.5905  , -0.21382 , -0.13049 , -0.34336 ,\n",
       "         0.15822 ,  0.2306  ,  0.55332 , -0.59173 , -0.4403  ,  0.23583 ,\n",
       "         0.082353,  0.83847 ,  0.26719 ,  0.063263, -0.080607,  0.018159,\n",
       "        -0.22789 ,  1.0025  ], dtype=float32),\n",
       " 'her': array([ 0.13403 ,  0.89178 , -0.76761 , -0.64184 ,  0.86204 ,  1.3122  ,\n",
       "        -0.64018 ,  0.82067 ,  0.32783 ,  0.021457, -0.095194,  0.40825 ,\n",
       "        -0.63602 , -0.018275,  0.69708 , -0.29531 , -1.1912  , -0.23897 ,\n",
       "         0.34341 , -0.33196 ,  0.23702 ,  1.8364  ,  0.12295 , -0.18624 ,\n",
       "         0.86503 , -2.636   , -0.7791  ,  0.203   ,  0.18985 , -0.79897 ,\n",
       "         2.9882  ,  0.44336 , -0.28367 , -0.19588 ,  0.061875,  0.38558 ,\n",
       "        -0.027622,  0.71847 ,  0.17156 , -1.2168  ,  0.081636,  0.17293 ,\n",
       "        -0.31718 , -0.37039 ,  0.18977 , -0.89175 ,  0.18492 , -1.6251  ,\n",
       "         0.039134, -0.10279 ], dtype=float32),\n",
       " 'percent': array([-0.2366  , -0.40252 ,  1.7612  ,  0.010445,  0.8568  ,  0.84684 ,\n",
       "        -0.84495 , -1.4338  , -0.54639 ,  0.73395 ,  0.63492 , -1.7583  ,\n",
       "         0.63655 , -0.9863  ,  0.78947 ,  0.61309 , -0.81924 , -0.65641 ,\n",
       "        -0.64784 , -0.38374 ,  0.94314 , -0.1943  ,  0.47471 , -0.85115 ,\n",
       "        -0.53061 , -0.82218 ,  0.1577  , -0.37006 , -0.15451 ,  0.86707 ,\n",
       "         3.8332  ,  1.0311  ,  0.48523 ,  0.73698 ,  0.49241 , -2.1361  ,\n",
       "        -0.73352 ,  0.51982 ,  1.2672  , -0.48397 , -0.97365 , -0.041408,\n",
       "         1.1572  , -0.072509, -0.60518 , -0.44327 , -0.75365 ,  0.48777 ,\n",
       "         1.0828  ,  0.073102], dtype=float32),\n",
       " 'than': array([ 0.63139 ,  0.15527 ,  0.78529 , -0.49967 ,  0.61277 ,  0.38457 ,\n",
       "        -0.24403 , -0.65573 , -0.34068 ,  0.48923 , -0.28453 , -0.72291 ,\n",
       "         0.30131 , -0.31671 ,  0.98247 , -0.020175,  0.17482 ,  0.54319 ,\n",
       "        -0.64372 , -0.97383 , -0.32015 ,  0.053901,  0.47347 , -0.1922  ,\n",
       "        -0.025826, -1.419   , -0.44523 ,  0.018065,  0.34342 ,  0.088355,\n",
       "         4.0942  ,  0.45804 ,  0.32831 , -0.069244,  0.26257 , -0.2969  ,\n",
       "        -0.28702 ,  0.31656 , -0.12812 , -0.33309 , -0.49709 ,  0.43707 ,\n",
       "         0.67268 ,  0.72685 , -0.21323 , -0.095752, -0.25779 ,  0.13059 ,\n",
       "        -0.87146 ,  0.19353 ], dtype=float32),\n",
       " 'over': array([ 0.12972  ,  0.088073 ,  0.24375  ,  0.078102 , -0.12783  ,\n",
       "         0.27831  , -0.48693  ,  0.19649  , -0.39558  , -0.28362  ,\n",
       "        -0.47425  , -0.59317  , -0.58804  , -0.31702  ,  0.49593  ,\n",
       "         0.0087594,  0.039613 , -0.42495  , -0.97641  , -0.46534  ,\n",
       "         0.020675 ,  0.086042 ,  0.39317  , -0.51255  , -0.17913  ,\n",
       "        -1.8333   ,  0.5622   ,  0.41626  ,  0.075127 ,  0.02189  ,\n",
       "         3.784    ,  0.71067  , -0.073943 ,  0.15373  , -0.3853   ,\n",
       "        -0.070163 , -0.35374  ,  0.074501 , -0.084228 , -0.45548  ,\n",
       "        -0.081068 ,  0.39157  ,  0.173    ,  0.2254   , -0.12836  ,\n",
       "         0.40951  , -0.26079  ,  0.090912 , -0.60515  , -0.9827   ],\n",
       "       dtype=float32),\n",
       " 'into': array([ 6.6749e-01, -4.1321e-01,  6.5755e-02, -4.6653e-01,  2.7619e-04,\n",
       "         1.8348e-01, -6.5269e-01,  9.3383e-02, -8.6802e-03, -1.8874e-01,\n",
       "        -6.3057e-03,  4.4894e-02, -6.6801e-01,  4.8506e-01, -1.1850e-01,\n",
       "         1.9968e-01,  1.8180e-01,  3.3144e-02, -5.9108e-01, -2.1829e-01,\n",
       "         4.1438e-01,  5.6740e-02,  4.2155e-01,  2.7798e-01, -1.1322e-01,\n",
       "        -1.9227e+00,  3.5513e-02,  6.1928e-01,  6.2206e-01, -6.3987e-01,\n",
       "         3.9115e+00, -2.1078e-02, -2.4685e-01, -1.3922e-01, -2.2545e-01,\n",
       "         5.9131e-01, -7.3220e-01,  1.1620e-01,  4.1550e-01, -1.5188e-01,\n",
       "        -1.4933e-01,  4.0739e-02, -1.0415e-01,  2.3733e-01, -4.3800e-01,\n",
       "         6.0590e-02,  5.5073e-01, -9.6571e-01, -2.6875e-01, -1.1741e+00],\n",
       "       dtype=float32),\n",
       " 'last': array([ 3.2269e-01, -1.1823e-01,  1.5135e-01,  4.3472e-01,  4.7741e-03,\n",
       "        -7.6197e-02, -1.1967e+00,  2.5108e-01, -3.3441e-01, -1.1988e-01,\n",
       "        -3.4367e-01, -9.7407e-01, -1.0005e+00, -2.0005e-01,  1.5067e+00,\n",
       "        -1.0902e-03, -5.8248e-01, -4.9877e-01, -1.2107e+00,  1.9451e-01,\n",
       "         5.4259e-02,  1.6623e-01,  2.6524e-01, -7.0740e-01, -4.7836e-01,\n",
       "        -1.9295e+00,  1.1138e-01,  1.6526e-01, -2.5420e-01,  2.6121e-01,\n",
       "         3.4639e+00,  3.4021e-01, -2.5121e-01,  3.1737e-01,  2.3340e-01,\n",
       "        -4.0882e-01,  3.2076e-01,  3.1702e-01,  2.1898e-02, -5.6169e-01,\n",
       "        -9.0129e-01,  2.3734e-01, -5.7173e-02, -2.4590e-01, -6.1878e-02,\n",
       "         2.0674e-01, -4.8696e-01,  3.6480e-01, -1.8610e-01, -3.4686e-01],\n",
       "       dtype=float32),\n",
       " 'some': array([ 9.2871e-01, -1.0834e-01,  2.1497e-01, -5.0237e-01,  1.0379e-01,\n",
       "         2.2728e-01, -5.4198e-01, -2.9008e-01, -6.4607e-01,  1.2664e-01,\n",
       "        -4.1487e-01, -2.9343e-01,  3.6855e-01, -4.1733e-01,  6.9116e-01,\n",
       "         6.7341e-02,  1.9715e-01, -3.0465e-02, -2.1723e-01, -1.2238e+00,\n",
       "         9.5469e-03,  1.9594e-01,  5.6595e-01, -6.7473e-02,  5.9208e-02,\n",
       "        -1.3909e+00, -8.9275e-01, -1.3546e-01,  1.6200e-01, -4.0210e-01,\n",
       "         4.1644e+00,  3.7816e-01,  1.5797e-01, -4.8892e-01,  2.3131e-01,\n",
       "         2.3258e-01, -2.5314e-01, -1.9977e-01, -1.2258e-01,  1.5620e-01,\n",
       "        -3.1995e-01,  3.8314e-01,  4.7266e-01,  8.7700e-01,  3.2223e-01,\n",
       "         1.3292e-03, -4.9860e-01,  5.5580e-01, -7.0359e-01, -5.2693e-01],\n",
       "       dtype=float32),\n",
       " 'government': array([ 0.38797  , -1.0825   ,  0.45025  , -0.23341  ,  0.086307 ,\n",
       "        -0.25721  , -0.18281  , -0.10037  , -0.50099  , -0.58361  ,\n",
       "        -0.052635 , -0.14224  ,  0.0090217, -0.38308  ,  0.18503  ,\n",
       "         0.42444  ,  0.10611  , -0.1487   ,  1.0801   ,  0.065757 ,\n",
       "         0.64552  ,  0.1908   , -0.14561  , -0.87237  , -0.35568  ,\n",
       "        -2.435    ,  0.28428  , -0.33436  , -0.56139  ,  0.91404  ,\n",
       "         4.0129   ,  0.072234 , -1.2478   , -0.36592  , -0.50236  ,\n",
       "         0.011731 , -0.27409  , -0.50842  , -0.2584   , -0.096172 ,\n",
       "        -0.67109  ,  0.40226  ,  0.27912  , -0.37317  , -0.45049  ,\n",
       "        -0.30662  , -1.6426   ,  1.1936   ,  0.65343  , -0.76293  ],\n",
       "       dtype=float32),\n",
       " 'time': array([ 0.02648  ,  0.33737  ,  0.065667 , -0.11609  ,  0.41651  ,\n",
       "        -0.21142  , -0.69582  ,  0.2822   , -0.36077  , -0.13822  ,\n",
       "         0.012094 ,  0.086227 , -0.84638  ,  0.057195 ,  1.1582   ,\n",
       "         0.14703  , -0.0049197, -0.24899  , -0.96014  , -0.3038   ,\n",
       "         0.23972  ,  0.21058  ,  0.40608  ,  0.17789  ,  0.55253  ,\n",
       "        -1.6357   , -0.17784  , -0.45222  ,  0.45805  ,  0.14239  ,\n",
       "         3.7087   ,  0.40289  , -0.4083   , -0.29304  ,  0.030857 ,\n",
       "        -0.15361  ,  0.10607  ,  0.63397  ,  0.12397  , -0.25349  ,\n",
       "        -0.10344  ,  0.0069768, -0.17328  ,  0.35536  , -0.46369  ,\n",
       "         0.15285  ,  0.41475  , -0.3398   , -0.23043  ,  0.19069  ],\n",
       "       dtype=float32),\n",
       " '$': array([ 0.43889 ,  0.90301 ,  1.406   ,  0.20469 ,  0.69453 ,  0.26449 ,\n",
       "        -0.91118 , -1.4847  ,  0.20981 ,  0.52693 , -1.3998  , -0.31563 ,\n",
       "         0.73779 , -1.0641  ,  1.8671  , -0.3536  , -0.66203 ,  0.41229 ,\n",
       "        -0.87078 , -0.6704  ,  1.3467  , -0.026579, -0.18787 , -1.1795  ,\n",
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       "         0.055304 ,  0.50614  , -0.80837  , -0.33017  , -0.62638  ],\n",
       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "         1.9066  , -0.1589  ], dtype=float32),\n",
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       "        -0.62775 , -0.41573 ,  0.28614 ,  1.1718  , -0.21516 ,  0.62029 ,\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "        -0.69152 ,  0.066963,  1.4545  ,  0.24474 , -0.7986  , -0.84672 ,\n",
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       "        -0.34131 , -1.8441  ,  0.30726 ,  0.29596 , -0.40516 ,  0.34157 ,\n",
       "         3.4163  ,  0.4477  , -0.43271 ,  0.12544 ,  0.055593, -0.57397 ,\n",
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       "        -0.12913 , -0.2552  ,  0.41018 ,  0.1954  , -0.12005 ,  0.8398  ,\n",
       "        -0.29115 ,  0.078721], dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "        -4.8433e-01,  3.9363e-01,  1.0970e-01,  7.2701e-01,  1.0325e-01,\n",
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       "       dtype=float32),\n",
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       "        -0.15526 ,  0.12868 ,  0.65885 , -0.27297 , -0.69856 ,  0.46953 ,\n",
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       "         0.16189  , -0.14281  , -0.13137  , -0.41208  , -0.092147 ],\n",
       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "        -2.7204e-01,  1.0995e-01, -6.4570e-02, -2.7384e-01,  8.0270e-01,\n",
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       "         3.8190e+00,  9.2642e-01,  3.4423e-02, -8.5155e-01,  3.9647e-01,\n",
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       "        -7.8039e-01,  1.1373e-01,  7.6026e-01,  9.0107e-01,  9.5390e-02,\n",
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       "       dtype=float32),\n",
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       "         9.5137e-02, -4.7481e-01, -1.2054e-01,  1.4050e-01,  3.3960e-01],\n",
       "       dtype=float32),\n",
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       "         0.32598  , -0.64054  ,  0.9267   ,  0.41093  , -0.38788  ],\n",
       "       dtype=float32),\n",
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       "        -0.2268  , -0.35951 , -1.3895  ,  0.50208 , -0.36646 ,  0.42108 ,\n",
       "         0.87967 , -0.62498 ,  0.20222 , -0.63936 , -0.58163 ,  0.88261 ,\n",
       "        -0.84243 , -0.037099], dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "         6.4388e-02, -2.2590e-01,  7.9125e-02,  1.2573e-01,  8.3939e-01],\n",
       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "        -1.9835e+00, -1.7015e-01,  5.3512e-01, -6.7014e-01,  2.7473e-01,\n",
       "         1.8497e-01,  9.9552e-02,  1.2488e+00,  8.3231e-01,  2.0399e-02],\n",
       "       dtype=float32),\n",
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       "        -1.1575   , -0.28149  ,  2.1609   , -0.61081  ,  0.081813 ,\n",
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       "       dtype=float32),\n",
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       "        -0.44274 ,  0.038197,  0.759   ,  0.98204 ,  0.26128 , -0.62279 ,\n",
       "        -0.064897, -0.52966 , -0.30045 , -0.18522 ,  0.28722 ,  0.36005 ,\n",
       "         0.40381 , -1.7122  , -1.2329  ,  0.12507 ,  0.46661 , -0.36031 ,\n",
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       "        -1.0077e-01,  3.8392e-01,  2.7892e-01,  3.7202e-01,  4.9374e-01,\n",
       "        -1.1495e+00, -1.1505e+00, -7.2089e-01, -3.8090e-02, -4.5699e-01,\n",
       "         3.3425e+00,  5.6660e-01,  8.8944e-04, -2.0030e-01,  5.3662e-01,\n",
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       "        -5.1555e-02,  3.0453e-01,  4.7155e-03, -2.5214e-01, -3.5151e-01,\n",
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       "       dtype=float32),\n",
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       "        -1.4163e-01, -1.7835e-01,  1.8827e+00,  6.4330e-01,  3.3806e-01],\n",
       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "        -0.475   , -0.082577], dtype=float32),\n",
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       "        -0.43874  , -0.25075  , -0.61961  , -0.3705   , -0.26175  ,\n",
       "         0.11614  ,  0.0738   ,  0.2144   ,  0.23219  , -0.60179  ],\n",
       "       dtype=float32),\n",
       " 'me': array([-0.14525 ,  0.31265 ,  0.15184 , -0.63708 ,  0.63553 , -0.50295 ,\n",
       "        -0.23214 ,  0.52892 , -0.58629 ,  0.53935 , -0.3055  ,  1.0357  ,\n",
       "        -0.77989 , -0.19387 ,  1.2215  ,  0.24521 ,  0.26144 ,  0.22439 ,\n",
       "         0.15584 , -0.79146 , -0.65262 ,  1.3211  ,  0.76618 ,  0.38234 ,\n",
       "         1.4453  , -2.2643  , -1.1505  ,  0.50373 ,  1.2651  , -1.5903  ,\n",
       "         3.0518  ,  0.84118 , -0.69543 ,  0.29985 , -0.49151 , -0.22312 ,\n",
       "         0.59528 , -0.076347,  0.52358 , -0.50134 ,  0.22483 ,  0.01546 ,\n",
       "        -0.088005,  0.21282 ,  0.28545 , -0.15976 , -0.16777 , -0.50895 ,\n",
       "         0.14322 ,  1.0118  ], dtype=float32),\n",
       " 'meeting': array([ 0.68677 ,  1.006   , -0.87863 ,  0.51321 ,  0.61462 , -1.0877  ,\n",
       "        -0.45431 ,  0.352   , -0.62553 , -0.99612 , -0.45212 , -0.45954 ,\n",
       "        -0.51827 ,  0.74167 ,  0.60872 ,  0.48564 , -0.14251 , -0.64726 ,\n",
       "         0.34616 , -0.086025,  0.94095 ,  0.13241 ,  0.32838 , -0.17121 ,\n",
       "        -0.10886 , -1.3884  ,  0.74426 ,  0.13702 , -1.5369  ,  0.53784 ,\n",
       "         3.194   ,  0.59787 , -1.3589  , -0.3408  , -0.088411, -0.89385 ,\n",
       "         0.16606 ,  0.40891 , -0.3269  ,  0.2077  , -0.91964 ,  0.04151 ,\n",
       "        -0.49479 , -0.72036 ,  0.62053 ,  0.60304 , -0.32795 ,  1.1465  ,\n",
       "        -0.084023,  0.072289], dtype=float32),\n",
       " 'expected': array([ 0.75231 ,  0.016437,  0.90861 ,  0.15883 ,  0.154   , -0.58219 ,\n",
       "        -0.66016 ,  0.068855, -0.10327 , -0.1327  ,  0.13106 , -0.57297 ,\n",
       "        -0.026791, -0.13023 ,  0.94727 ,  1.0802  , -0.16297 , -0.77721 ,\n",
       "        -0.38655 , -0.83849 ,  0.45062 , -0.40128 ,  0.11282 , -0.8071  ,\n",
       "        -0.03594 , -1.1959  ,  0.39782 , -0.11803 , -0.56312 ,  0.6788  ,\n",
       "         3.6006  ,  0.94536 , -0.34436 , -0.026178,  0.30608 , -1.0147  ,\n",
       "         0.17467 ,  0.24028 ,  0.048675, -0.48288 , -0.95961 ,  0.41725 ,\n",
       "         0.036905, -0.59706 , -0.13813 ,  0.083673, -0.17355 ,  0.76521 ,\n",
       "        -0.28484 ,  0.31663 ], dtype=float32),\n",
       " 'late': array([ 0.21994 , -0.014414, -0.24502 , -0.31895 , -0.32942 , -0.48162 ,\n",
       "        -1.5818  ,  0.27079 , -1.3613  ,  0.05855 , -0.10478 , -0.44319 ,\n",
       "        -0.40213 ,  0.05586 ,  0.81842 ,  0.30685 , -1.0009  , -0.8302  ,\n",
       "        -1.2259  ,  0.54736 ,  0.60423 ,  0.33345 ,  0.02349 , -0.58298 ,\n",
       "         0.068311, -1.4961  ,  0.12819 , -0.18686 , -0.17151 ,  0.90003 ,\n",
       "         3.1905  , -0.59917 , -0.097557, -0.021908,  0.54973 , -0.14088 ,\n",
       "         0.18978 ,  0.34743 , -0.061865, -0.067381, -0.5258  ,  0.55705 ,\n",
       "        -0.5649  , -0.42131 ,  0.24299 ,  0.1408  , -0.074287, -0.41503 ,\n",
       "        -0.17553 , -0.62826 ], dtype=float32),\n",
       " 'washington': array([-5.1020e-01,  1.0375e+00,  1.0136e-01,  9.7878e-04, -6.7061e-02,\n",
       "        -4.9600e-01, -1.2587e+00,  6.1059e-02, -9.0142e-02, -6.8128e-01,\n",
       "        -1.2128e+00, -1.3272e-01, -3.7778e-01,  9.1412e-02, -6.5661e-02,\n",
       "         2.2950e-01, -1.0412e-01, -7.0233e-01,  9.3941e-02,  4.7418e-01,\n",
       "         6.6055e-01,  3.4302e-01,  3.3139e-03, -2.6057e-01, -2.9605e-01,\n",
       "        -2.5996e+00,  5.2698e-01,  2.2915e-01,  2.5215e-01, -4.9094e-01,\n",
       "         2.3924e+00, -4.2369e-03, -2.6823e-01, -1.2988e+00, -3.3630e-01,\n",
       "        -6.6419e-01, -5.5199e-01, -2.1881e-03, -1.6903e-02,  1.1451e-01,\n",
       "        -4.0708e-01,  3.3462e-01,  5.6522e-01, -5.6362e-01,  1.7956e-01,\n",
       "         1.0133e+00, -5.1840e-01,  7.2511e-01, -7.7215e-01,  6.9085e-01],\n",
       "       dtype=float32),\n",
       " 'games': array([-0.88495  ,  0.77465  ,  0.069162 ,  1.6451   , -0.27344  ,\n",
       "        -0.24103  , -0.95883  , -0.47718  , -0.46876  ,  0.38361  ,\n",
       "         0.026774 , -0.19447  , -1.4064   ,  0.11926  ,  1.3843   ,\n",
       "        -0.79712  , -0.13887  ,  0.43211  , -1.982    ,  0.067078 ,\n",
       "        -0.61959  , -0.27975  ,  0.49575  ,  0.13888  ,  0.043884 ,\n",
       "        -0.7128   ,  0.22836  , -0.54725  ,  0.41564  , -1.2287   ,\n",
       "         3.28     ,  1.5931   ,  0.10515  , -0.41959  ,  0.10851  ,\n",
       "         0.68996  ,  0.91147  ,  0.78022  , -0.94922  , -0.29333  ,\n",
       "        -0.47833  , -0.7881   , -0.12952  ,  0.64509  , -0.41502  ,\n",
       "         0.98958  , -0.096111 ,  0.14893  , -0.0078291, -0.031893 ],\n",
       "       dtype=float32),\n",
       " 'european': array([-0.0080185,  0.41827  , -0.68371  ,  0.01923  , -0.33277  ,\n",
       "         0.16856  , -0.65487  , -0.47132  , -0.33454  , -0.48188  ,\n",
       "         1.2215   ,  0.043931 , -0.60405  ,  0.96154  ,  0.615    ,\n",
       "         0.33789  ,  0.89919  , -0.61214  , -0.56839  , -0.71452  ,\n",
       "         0.39191  , -0.58471  , -0.6241   ,  0.35325  , -0.33529  ,\n",
       "        -1.3378   , -0.032167 , -0.25649  , -1.2263   ,  0.97411  ,\n",
       "         3.4508   ,  0.67662  , -0.27501  ,  0.01842  , -0.7447   ,\n",
       "        -0.76181  , -0.32961  ,  0.53117  , -0.85266  , -0.67651  ,\n",
       "         0.10604  , -0.40192  ,  1.6095   , -0.51078  ,  0.26835  ,\n",
       "         0.78402  , -0.33166  ,  1.06     , -0.045851 , -0.90621  ],\n",
       "       dtype=float32),\n",
       " 'league': array([-1.5476  ,  0.94136 , -0.90253 ,  0.72981 , -0.062093, -0.27528 ,\n",
       "        -1.3077  ,  0.72137 , -0.94518 , -0.24795 ,  0.46654 ,  0.16236 ,\n",
       "        -1.364   ,  0.13442 ,  0.40396 , -0.68682 ,  0.83653 , -0.026454,\n",
       "        -1.4056  ,  0.77313 , -1.1335  , -0.73471 ,  0.2967  ,  0.65363 ,\n",
       "        -1.4619  , -1.3701  ,  0.62445 , -0.3406  , -0.36008 , -0.2727  ,\n",
       "         2.9834  ,  1.3123  , -0.11066 , -0.15333 ,  0.42719 ,  0.4432  ,\n",
       "         0.43783 ,  0.27205 , -0.36339 , -0.73562 , -0.40777 , -0.74466 ,\n",
       "        -0.71116 ,  0.30955 , -0.82986 ,  0.87265 , -0.80513 ,  0.99067 ,\n",
       "         0.24745 , -0.46056 ], dtype=float32),\n",
       " 'reported': array([ 0.59565 , -0.2463  ,  0.74569 ,  0.57129 , -0.33117 , -0.14444 ,\n",
       "        -1.129   ,  0.10809 ,  0.56581 , -0.66281 ,  0.43592 , -1.1047  ,\n",
       "        -0.14421 , -0.61319 ,  0.8683  , -0.18744 , -1.4914  , -0.23158 ,\n",
       "        -0.82152 ,  0.58674 ,  0.32855 ,  0.58226 ,  0.93081 , -0.056042,\n",
       "        -0.13685 , -1.4768  , -0.60387 ,  0.3935  , -0.47556 ,  0.66623 ,\n",
       "         3.2029  , -0.45838 ,  1.0729  , -0.24952 , -0.55708 , -0.60695 ,\n",
       "         0.15132 , -0.70748 ,  0.63341 ,  0.66746 ,  0.17148 ,  0.36854 ,\n",
       "         0.452   , -0.44372 ,  0.47692 , -0.48214 , -1.1439  ,  1.4178  ,\n",
       "         0.42049 , -0.028103], dtype=float32),\n",
       " 'final': array([-4.1236e-01,  6.4930e-01, -5.5848e-01,  8.6319e-01, -8.8457e-04,\n",
       "         7.2533e-02, -7.7646e-02,  1.1550e+00, -2.8082e-01, -3.3590e-01,\n",
       "        -4.1617e-01, -6.1781e-01, -1.4866e+00,  9.8734e-02,  1.1298e+00,\n",
       "        -4.1111e-01,  1.1282e-01, -1.1371e+00, -1.5276e+00, -3.4007e-01,\n",
       "         8.3625e-03, -2.5204e-01,  3.0779e-01, -1.6048e-01,  2.3843e-01,\n",
       "        -1.1412e+00, -1.2929e-02, -2.0523e-01, -3.8340e-01, -4.9864e-01,\n",
       "         3.3610e+00,  4.3769e-01, -7.4055e-01,  2.4088e-01,  3.5205e-01,\n",
       "        -2.3431e-02,  1.2037e+00,  7.6088e-01, -5.5215e-01, -1.2606e+00,\n",
       "         1.1169e-01, -8.1801e-01, -2.5767e-01, -3.7945e-01, -6.3069e-01,\n",
       "         6.8894e-01,  8.1307e-01,  2.6206e-01,  1.0448e-01, -4.4302e-01],\n",
       "       dtype=float32),\n",
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       "        -0.57346 , -0.47357 , -0.48532 , -0.052025,  0.28045 ,  0.1789  ,\n",
       "        -0.63417 , -0.49482 ,  0.45974 ,  0.25677 ,  0.071527, -0.80675 ,\n",
       "        -0.18371 , -0.70061 , -0.010642,  0.3412  ,  0.19267 , -0.9593  ,\n",
       "         0.21649 , -0.72056 ,  0.6792  ,  0.15118 ,  0.037342, -0.21389 ,\n",
       "         3.2059  ,  0.21156 ,  0.20647 , -0.049772,  0.31719 , -0.39662 ,\n",
       "         0.37759 ,  0.45206 ,  0.31934 ,  0.42096 ,  0.11205 ,  0.39742 ,\n",
       "         0.21851 , -0.46591 ,  0.20679 ,  0.016375, -0.36296 ,  0.64138 ,\n",
       "         0.36659 ,  0.41078 ], dtype=float32),\n",
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       "         1.7832e-01,  3.3098e-01, -5.0120e-01,  1.5954e-02,  6.8571e-01,\n",
       "         2.7638e-01, -5.0638e-03, -5.9362e-01,  8.9435e-02, -6.5281e-01,\n",
       "         3.9652e-02,  4.1947e-01,  2.6661e-01, -2.0939e-01,  1.3286e-01,\n",
       "        -1.7116e+00,  2.4640e-01,  1.8052e-01,  1.0859e+00, -2.9591e-01,\n",
       "         3.6339e+00,  4.9238e-01, -5.7634e-01, -6.2998e-01, -1.7535e-03,\n",
       "         3.6101e-01,  5.0483e-01,  2.5662e-01, -1.2368e-01, -5.9845e-02,\n",
       "         1.2656e-01,  3.6029e-02,  2.1609e-01,  6.8576e-01, -3.8499e-01,\n",
       "        -1.4619e-01, -2.5034e-01,  3.0878e-01,  7.0218e-02, -2.1913e-01],\n",
       "       dtype=float32),\n",
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       "         4.9499e-01, -1.1493e+00,  2.2215e-01,  1.0172e-01, -1.1891e+00,\n",
       "         4.5989e-01,  3.4839e-01, -1.5586e-01,  2.6532e-01, -6.8722e-04,\n",
       "         1.1876e-01,  3.5669e-01, -3.0788e-02, -1.4578e+00, -1.2485e-01,\n",
       "         1.1846e+00,  8.2477e-01, -3.9040e-01,  2.5972e-01, -2.6186e-01,\n",
       "        -1.9816e+00, -8.0837e-01, -9.0312e-01, -5.3035e-01,  1.4572e+00,\n",
       "         2.7247e+00, -6.2139e-01, -4.6100e-02,  1.7324e-01,  3.6173e-01,\n",
       "        -1.8184e-01, -8.1845e-02, -5.9896e-01, -1.0192e+00, -7.5088e-01,\n",
       "         7.4903e-01,  1.0980e-01,  1.0343e+00, -6.7316e-01,  4.4687e-01,\n",
       "         9.9880e-02, -9.8741e-01,  5.8021e-02, -1.3698e-01, -3.9061e-01],\n",
       "       dtype=float32),\n",
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       "        -1.2089  , -1.0221  , -0.94054 , -1.2689  , -0.68195 , -0.12212 ,\n",
       "         0.6122  ,  0.045025, -0.10808 ,  0.12482 , -0.17278 , -0.45383 ,\n",
       "        -0.37728 , -1.4081  , -0.42975 ,  0.31746 ,  0.61391 , -0.76399 ,\n",
       "        -0.75504 , -1.5605  , -0.14924 ,  1.2023  ,  0.36776 , -0.49137 ,\n",
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       "        -0.36429 , -0.51476 , -0.23074 , -0.72258 , -0.086035,  0.47341 ,\n",
       "        -0.035288, -0.04892 ,  0.85295 , -0.25883 , -0.48159 , -0.79552 ,\n",
       "        -0.12247 , -0.098168], dtype=float32),\n",
       " 'history': array([-0.82643  ,  1.0991   , -1.1004   ,  0.078016 ,  0.15962  ,\n",
       "         0.18136  , -0.93557  , -0.19073  ,  0.026341 , -0.0845   ,\n",
       "        -0.36609  , -0.055015 , -0.55747  ,  0.0030452,  0.76027  ,\n",
       "        -0.73181  , -0.082447 ,  0.069244 , -0.64787  ,  0.88449  ,\n",
       "        -0.33906  ,  0.0071404, -0.58207  , -0.017598 ,  0.49074  ,\n",
       "        -2.0892   , -1.688    , -0.63746  ,  0.13742  ,  0.21187  ,\n",
       "         2.8562   , -0.43521  ,  0.14753  , -0.81421  , -0.10177  ,\n",
       "         0.38747  , -0.70638  ,  0.67562  , -0.095008 , -0.16136  ,\n",
       "        -0.64184  , -0.31948  ,  0.18765  ,  0.7603   , -0.62022  ,\n",
       "         0.77173  ,  0.38342  ,  0.45312  , -0.37188  , -0.65143  ],\n",
       "       dtype=float32),\n",
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       "        -0.37263 ,  0.25071 , -0.10588 ,  0.10778 , -0.10848 ,  0.15181 ,\n",
       "        -0.65396 ,  0.55054 ,  0.59591 , -0.46278 ,  0.11847 ,  0.64448 ,\n",
       "        -0.70948 ,  0.23947 , -0.82905 ,  1.272   ,  0.033021,  0.2935  ,\n",
       "         0.3911  , -2.8094  , -0.70745 ,  0.4106  ,  0.3894  , -0.2913  ,\n",
       "         2.6124  , -0.34576 , -0.16832 ,  0.25154 ,  0.31216 ,  0.31639 ,\n",
       "         0.12539 , -0.012646,  0.22297 , -0.56585 , -0.086264,  0.62549 ,\n",
       "        -0.0576  ,  0.29375 ,  0.66005 , -0.53115 , -0.48233 , -0.97925 ,\n",
       "         0.53135 , -0.11725 ], dtype=float32),\n",
       " 'men': array([-0.41714 ,  0.46493 ,  0.13769 , -0.19283 ,  1.0112  ,  0.14966 ,\n",
       "        -0.020232,  0.37339 , -0.37315 , -0.89002 ,  0.15083 , -0.93411 ,\n",
       "        -0.78542 , -0.34753 ,  0.84648 , -0.463   ,  0.12469 ,  0.31815 ,\n",
       "        -1.0671  , -0.70007 , -0.69082 ,  1.0479  ,  0.79692 ,  0.54943 ,\n",
       "        -0.41094 , -1.7671  , -0.60518 , -0.59613 , -0.19805 , -0.51482 ,\n",
       "         2.6693  ,  0.79256 , -0.37652 , -0.27977 ,  0.44484 ,  0.28957 ,\n",
       "         0.064096,  0.35282 , -0.62789 , -0.091884, -0.25639 , -0.26261 ,\n",
       "         1.0343  ,  0.59887 ,  1.0275  , -0.70789 , -0.39715 , -0.94399 ,\n",
       "        -0.28476 , -0.75795 ], dtype=float32),\n",
       " 'became': array([-0.28463 ,  0.07652 , -0.66578 , -0.41356 ,  0.069703,  0.35674 ,\n",
       "        -1.1262  ,  0.25274 , -0.5792  , -0.4305  ,  0.86818 ,  0.48472 ,\n",
       "        -0.43431 , -0.10866 ,  0.060219,  0.070925, -0.42145 ,  0.56838 ,\n",
       "        -0.43623 ,  0.60608 , -0.067123, -0.11103 , -0.093912,  0.55485 ,\n",
       "        -0.048978, -1.8073  , -0.52681 , -0.25975 , -0.20034 ,  0.78441 ,\n",
       "         2.7186  , -0.71989 ,  0.38799 , -0.79846 ,  0.056496,  0.13485 ,\n",
       "        -0.091169,  0.78204 , -0.2425  , -0.28958 , -0.22268 , -0.080387,\n",
       "        -0.45822 , -0.1663  , -0.45656 ,  0.13826 , -0.78719 , -1.2627  ,\n",
       "        -0.18428 ,  0.029518], dtype=float32),\n",
       " 'want': array([ 0.13627 , -0.054478,  0.3703  , -0.41574 ,  0.60568 , -0.42729 ,\n",
       "        -0.50151 ,  0.35923 , -0.49154 ,  0.21827 , -0.15193 ,  0.52536 ,\n",
       "        -0.24206 ,  0.023875,  0.8225  ,  1.089   ,  0.98825 , -0.17803 ,\n",
       "         0.77806 , -1.0647  , -0.28742 ,  0.50458 ,  0.21612 ,  0.65681 ,\n",
       "         0.34295 , -2.1084  , -0.82557 , -0.31966 ,  0.87567 , -1.0679  ,\n",
       "         3.3802  ,  1.2084  , -1.272   , -0.15921 , -0.25237 , -0.2696  ,\n",
       "        -0.18756 , -0.35523 ,  0.084172, -0.56539 , -0.24081 ,  0.15926 ,\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "        -0.087214 ,  0.27467  ,  0.013817 , -0.65709  , -0.15692  ,\n",
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       "        -0.93712  , -0.57235  ,  0.26454  , -1.3174   , -0.65467  ],\n",
       "       dtype=float32),\n",
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       "         0.37006  , -0.34748  ,  0.49564  ,  0.091988 , -0.076873 ,\n",
       "         0.0028985,  0.36461  , -0.42913  ,  0.019647 ,  1.0503   ,\n",
       "         0.95013  ,  0.060693 , -0.48907  ,  0.3766   , -0.76248  ,\n",
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       "        -2.6002   , -0.23835  ,  0.070363 ,  0.11285  , -0.2474   ,\n",
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       "        -0.71175  , -0.0062045,  0.082787 , -0.029917 , -0.37923  ,\n",
       "        -0.4905   ,  0.23961  ,  0.22836  ,  0.85196  ,  0.22673  ,\n",
       "        -0.12152  , -0.27705  ,  0.85475  , -0.14677  ,  0.2617   ],\n",
       "       dtype=float32),\n",
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       "         0.18365  , -0.68113  ,  0.61631  , -0.90734  , -0.14877  ,\n",
       "         0.15201  , -0.20139  , -0.64058  , -0.66312  ,  0.44106  ,\n",
       "         0.01865  , -0.34797  , -0.41541  , -1.2714   , -0.09668  ,\n",
       "        -0.31586  ,  0.16589  ,  0.10694  , -0.61806  ,  0.089309 ,\n",
       "        -1.3677   , -0.11939  , -0.63738  ,  0.33949  , -0.085761 ,\n",
       "         2.9216   ,  0.64947  ,  0.33815  ,  0.34153  ,  0.053704 ,\n",
       "        -0.38756  , -0.27187  ,  0.29294  ,  0.57254  , -1.1245   ,\n",
       "        -0.059138 , -0.40877  ,  0.3466   ,  0.0038906, -0.29094  ,\n",
       "         0.56712  , -0.59772  , -0.79149  ,  0.27207  , -0.50336  ],\n",
       "       dtype=float32),\n",
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       "         0.032817 , -1.1416   , -0.30202  , -0.33753  ,  2.0498   ,\n",
       "         0.72614  ,  0.25759  ,  0.062278 ,  0.60505  ,  0.19414  ,\n",
       "        -0.33841  ,  0.0098585,  0.28398  , -0.025021 , -0.53623  ,\n",
       "         1.2342   ,  1.0731   , -0.087618 ,  0.99114  ,  0.49666  ,\n",
       "        -0.46601  , -1.7859   , -0.50884  , -0.67744  , -0.91626  ,\n",
       "         3.6685   , -0.58218  ,  0.72491  , -0.47676  , -0.35207  ,\n",
       "         0.041236 ,  0.27288  , -0.205    , -0.1238   ,  0.10142  ,\n",
       "         0.59449  ,  0.27638  , -0.92749  , -0.63906  , -0.13326  ,\n",
       "         0.50902  ,  0.15386  , -0.86544  , -1.3564   ,  0.28513  ],\n",
       "       dtype=float32),\n",
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       "        -0.23859 , -0.21558 ,  0.94103 , -0.50262 , -0.51141 , -0.3251  ,\n",
       "        -1.4096  ,  0.19642 ,  0.4852  ,  0.047256,  1.0975  , -0.0381  ,\n",
       "        -0.68362 , -0.72609 ,  0.85323 , -0.7037  ,  0.13696 , -0.058595,\n",
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       "         0.54387 ,  0.30556 ,  0.51102 ,  0.12255 , -0.36216 , -0.12441 ,\n",
       "         0.94703 , -0.58454 , -0.59647 ,  0.27545 , -0.19967 , -0.48474 ,\n",
       "         0.090232,  0.078301], dtype=float32),\n",
       " 'got': array([-4.0970e-01, -3.7167e-01,  3.8852e-01, -3.4947e-01,  5.4256e-01,\n",
       "        -5.5407e-02, -1.2432e+00,  5.8731e-01, -3.3109e-01,  2.6876e-01,\n",
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       "        -1.8087e+00,  6.7057e-02,  3.0304e-01,  5.9420e-01, -1.1812e+00,\n",
       "         2.9078e+00,  8.6026e-01, -2.5584e-02,  2.4876e-01,  2.1716e-03,\n",
       "         9.6196e-02,  1.4752e-01,  6.9622e-01,  7.9390e-01, -5.7110e-01,\n",
       "        -1.2454e-01,  3.4798e-01, -3.3992e-01,  2.8812e-01, -2.2895e-01,\n",
       "        -5.1136e-02, -9.2898e-02, -2.5414e-01,  4.0372e-02,  3.8652e-01],\n",
       "       dtype=float32),\n",
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       "        -3.3253e-01, -1.6657e+00, -4.8359e-01,  7.9662e-01, -3.4028e-01,\n",
       "         8.2714e-01,  9.9694e-01, -8.0682e-01, -1.3874e-01,  9.1085e-01,\n",
       "         1.0010e+00,  1.1971e+00, -5.7032e-01, -2.8881e-01, -2.9923e-01,\n",
       "        -1.7085e+00, -1.4020e-01,  2.2503e-02,  7.2247e-01,  7.1079e-01,\n",
       "         2.8540e+00, -5.5879e-01, -9.1743e-01,  1.8206e-01,  2.0955e-01,\n",
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       "        -1.6361e-02, -1.2939e-01,  3.1550e-01, -1.0583e+00,  1.3176e+00,\n",
       "        -1.1360e+00, -8.4954e-01,  1.8579e+00, -3.9625e-01, -4.3469e-01],\n",
       "       dtype=float32),\n",
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       "        -8.8405e-02, -1.0196e+00, -7.4540e-03, -3.2856e-01,  8.3239e-01,\n",
       "        -2.8329e-01, -5.2919e-01, -4.5187e-02, -1.4676e+00,  8.6149e-02,\n",
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       "        -2.7009e-01,  2.5321e-03,  8.5605e-01, -3.5187e-01, -6.2310e-01,\n",
       "         4.0055e-04, -3.7949e-01, -5.1710e-01,  2.8975e-02,  1.0963e-01],\n",
       "       dtype=float32),\n",
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       "         0.16539 ,  0.25601 ,  0.24476 , -0.38762 , -0.17842 , -0.20283 ,\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "        -0.036013 , -0.11342  ,  0.01074  , -0.03284  , -0.16825  ],\n",
       "       dtype=float32),\n",
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       "        -2.2944   , -0.11007  , -0.12472  ,  0.85396  ,  0.13095  ,\n",
       "         2.7334   ,  0.020801 , -0.8306   , -0.52641  ,  0.35823  ,\n",
       "         0.5293   ,  0.5239   , -0.97954  , -0.89408  ,  0.56206  ,\n",
       "        -0.094276 ,  0.38047  ,  0.064524 , -0.79603  ,  1.4988   ,\n",
       "         0.10214  , -0.41158  ,  0.47262  ,  0.65586  , -0.10645  ],\n",
       "       dtype=float32),\n",
       " 'side': array([ 0.20712  ,  0.45525  , -0.59307  , -0.37613  ,  0.082234 ,\n",
       "         0.22413  , -0.31312  ,  0.71027  , -0.61976  , -0.49796  ,\n",
       "         0.13477  ,  0.0056405, -0.77043  , -0.19784  , -0.70032  ,\n",
       "         0.23177  ,  0.815    , -0.061393 , -0.73146  , -0.40748  ,\n",
       "        -0.52122  ,  0.052144 ,  0.010133 ,  0.68707  , -0.21358  ,\n",
       "        -1.5289   ,  0.53722  ,  1.1833   , -0.022483 , -0.55043  ,\n",
       "         3.5116   ,  0.5666   ,  0.25898  , -0.065076 ,  0.34411  ,\n",
       "         0.40766  ,  0.25558  ,  0.43896  , -0.22385  , -0.82314  ,\n",
       "         0.51137  , -0.13294  , -0.16608  , -0.23841  , -0.12116  ,\n",
       "         0.43584  ,  0.013572 , -0.14499  ,  0.5076   , -0.75084  ],\n",
       "       dtype=float32),\n",
       " 'seven': array([ 2.7100e-01,  4.0263e-01,  4.9204e-01,  1.8279e-01,  4.0656e-01,\n",
       "         5.2487e-01, -8.9496e-01,  2.2862e-01, -2.8704e-01, -4.6034e-01,\n",
       "        -6.2930e-01, -5.9112e-01, -6.1332e-01,  5.0357e-01,  7.4662e-01,\n",
       "        -8.5773e-01, -5.4881e-02, -3.7906e-01, -1.2336e+00, -8.5258e-04,\n",
       "        -5.6966e-02,  2.0703e-01,  7.5846e-01, -1.0698e-01, -5.6380e-01,\n",
       "        -7.7717e-01,  3.5028e-01, -7.0106e-01, -3.3252e-01, -3.9569e-01,\n",
       "         3.6042e+00,  4.8765e-01,  1.2197e-01,  4.1268e-01,  1.0879e+00,\n",
       "         4.7126e-01,  3.3869e-01,  1.0117e-01, -5.5742e-02,  6.3739e-02,\n",
       "        -1.0909e+00, -1.8791e-01,  5.5199e-01,  3.0131e-01, -2.5402e-01,\n",
       "         2.4027e-01, -4.0994e-01, -1.1698e-01, -2.7710e-01, -8.1605e-01],\n",
       "       dtype=float32),\n",
       " 'better': array([-0.1209  , -0.16821 ,  0.24099 , -0.30287 ,  0.43578 , -0.38367 ,\n",
       "        -0.55203 , -0.28681 , -0.10092 ,  0.47769 ,  0.28969 ,  0.29549 ,\n",
       "        -0.44074 , -0.13494 ,  0.26022 ,  0.45371 ,  0.53749 ,  0.06122 ,\n",
       "         0.24366 , -0.87761 , -0.56241 ,  0.24927 ,  0.17941 , -0.016943,\n",
       "         0.57974 , -1.3546  , -0.53161 , -0.26451 ,  0.68211 , -0.30482 ,\n",
       "         3.7943  ,  0.96326 , -0.073896, -0.41032 ,  0.24478 , -0.14579 ,\n",
       "        -0.086789,  0.995   ,  0.049928, -0.60302 , -0.36585 , -0.10114 ,\n",
       "         0.40423 ,  0.25951 ,  0.087927,  0.06196 ,  0.075266,  0.12755 ,\n",
       "         0.066461,  1.1163  ], dtype=float32),\n",
       " 'less': array([ 0.50343 ,  0.015858,  0.33745 , -0.63735 ,  0.54691 ,  0.39019 ,\n",
       "         0.094177, -0.35546 , -0.48083 ,  0.7954  , -0.15279 , -0.59696 ,\n",
       "         0.5462  , -0.24196 ,  0.57816 ,  0.18048 ,  0.23108 ,  0.31356 ,\n",
       "        -0.41453 , -1.0321  , -0.40474 , -0.06759 ,  0.34262 , -0.11137 ,\n",
       "         0.18348 , -1.3207  , -0.20151 ,  0.45586 ,  0.90485 ,  0.60693 ,\n",
       "         3.8475  ,  0.24956 ,  0.57628 , -0.43086 ,  0.32115 , -0.40096 ,\n",
       "        -0.14379 ,  0.84858 , -0.34062 , -0.58987 , -0.33593 ,  0.26176 ,\n",
       "         0.52602 ,  0.77446 , -0.22891 , -0.090591, -0.341   ,  0.168   ,\n",
       "        -0.19985 ,  0.81252 ], dtype=float32),\n",
       " 'september': array([ 0.038543, -0.096315,  0.042234, -0.30945 , -0.23763 , -0.025095,\n",
       "        -1.1104  ,  0.028852, -0.51799 , -0.64556 ,  0.48152 , -0.55653 ,\n",
       "        -0.40431 , -0.58849 ,  1.1936  ,  0.050673, -1.276   , -0.47979 ,\n",
       "        -1.6779  ,  0.94189 ,  1.3719  , -0.35645 ,  0.72071 , -0.50913 ,\n",
       "        -0.6047  , -1.1692  ,  0.47851 , -0.38999 , -0.07037 ,  1.0678  ,\n",
       "         2.8561  , -0.41693 , -0.63326 , -0.46585 ,  0.13458 , -0.66199 ,\n",
       "         0.67408 , -0.014843, -0.14317 , -0.41659 , -0.67641 , -0.53534 ,\n",
       "        -0.34797 , -1.4463  , -0.46732 ,  0.076082, -0.2431  , -0.6339  ,\n",
       "         0.060816,  0.092193], dtype=float32),\n",
       " 'once': array([ 0.41617  ,  0.0086969, -0.045779 , -0.453    ,  0.39691  ,\n",
       "        -0.06243  , -0.92329  ,  0.29746  , -0.27379  ,  0.0047861,\n",
       "         0.056398 ,  0.16674  , -0.49455  ,  0.025591 ,  0.54835  ,\n",
       "         0.44411  ,  0.18487  ,  0.13657  , -0.35517  , -0.18662  ,\n",
       "        -0.18167  ,  0.10607  ,  0.25211  , -0.0098307,  0.18218  ,\n",
       "        -1.9912   , -0.31275  ,  0.36164  ,  0.46458  , -0.087284 ,\n",
       "         3.0497   , -0.14917  , -0.11754  , -0.35888  , -0.053222 ,\n",
       "        -0.029877 , -0.11658  ,  0.64464  , -0.23756  , -0.47446  ,\n",
       "        -0.39611  ,  0.15729  , -0.32605  ,  0.32602  , -0.1625   ,\n",
       "         0.033815 , -0.50753  , -0.81015  , -0.41645  , -0.22877  ],\n",
       "       dtype=float32),\n",
       " 'clinton': array([ 0.23158 ,  0.69964 ,  0.43878 , -0.31633 ,  0.18509 ,  0.45519 ,\n",
       "        -0.52914 ,  0.13019 , -0.6016  , -0.53644 , -1.8771  , -0.32314 ,\n",
       "        -0.13149 ,  0.05427 ,  0.24486 , -0.037868, -0.34769 , -0.60215 ,\n",
       "         0.72329 , -0.47918 ,  0.15473 ,  0.4589  ,  0.37807 , -1.0418  ,\n",
       "         0.43743 , -2.6996  ,  0.2478  ,  0.68145 , -0.23022 , -0.024437,\n",
       "         2.133   ,  0.46905 , -1.1284  , -1.0115  , -0.3608  , -0.89718 ,\n",
       "        -0.47746 ,  0.46726 , -0.88369 , -0.99028 , -0.69334 ,  0.55325 ,\n",
       "        -0.44621 , -0.1735  , -0.070923,  0.04234 , -0.68205 ,  0.68464 ,\n",
       "        -0.43253 ,  0.75606 ], dtype=float32),\n",
       " 'main': array([ 0.66426 ,  0.7181  ,  0.17514 ,  0.50887 ,  0.20992 , -0.053257,\n",
       "        -0.15013 , -0.2651  , -0.015987, -0.5291  , -0.34768 , -0.7442  ,\n",
       "        -0.51088 ,  0.17595 , -0.90549 ,  0.077125,  0.40531 ,  0.43508 ,\n",
       "        -0.22843 , -0.15984 ,  0.5292  , -0.55523 , -0.67263 ,  0.78657 ,\n",
       "        -0.31622 , -1.2254  , -0.15774 ,  0.27646 , -0.35189 ,  0.29773 ,\n",
       "         3.7175  , -0.26372 ,  0.10256 , -0.33809 ,  0.14646 ,  0.32333 ,\n",
       "         0.048336, -0.090558, -0.50471 ,  0.65104 ,  0.12838 ,  0.096154,\n",
       "        -0.53614 , -0.352   , -0.088668,  0.19595 , -0.29993 , -0.32443 ,\n",
       "         0.42452 , -0.70974 ], dtype=float32),\n",
       " 'due': array([ 0.52529 ,  0.25014 , -0.29891 , -0.003927, -0.68551 ,  0.41819 ,\n",
       "        -0.096241,  0.42622 ,  0.09777 , -0.12757 ,  0.77646 ,  0.052267,\n",
       "        -0.22046 , -0.44999 ,  0.84733 ,  0.75829 , -0.5126  , -0.46022 ,\n",
       "        -0.68956 , -0.20814 ,  0.26289 , -0.54675 ,  0.27619 , -0.37804 ,\n",
       "         0.085518, -1.0566  ,  0.16707 ,  0.25964 ,  0.39742 ,  1.4921  ,\n",
       "         3.7574  ,  0.093004,  0.26742 , -0.82988 ,  0.19037 ,  0.040906,\n",
       "         0.52393 , -0.023492, -0.32684 , -0.12868 , -0.81991 , -0.049887,\n",
       "        -0.16289 , -0.073079, -0.34803 , -0.1901  , -0.080237,  0.23164 ,\n",
       "         0.21708 , -0.35911 ], dtype=float32),\n",
       " 'committee': array([-0.28394 ,  0.09381 , -0.65911 ,  0.44267 ,  0.10109 , -0.045837,\n",
       "        -0.06315 , -0.21448 ,  0.497   , -1.9738  , -0.82492 , -0.021798,\n",
       "        -0.17045 ,  0.48888 ,  0.22899 , -0.37251 ,  0.33886 ,  0.022057,\n",
       "         0.77261 , -0.44376 ,  0.70995 , -0.56979 ,  0.57233 , -0.79649 ,\n",
       "        -0.37653 , -1.9019  ,  0.20401 , -0.371   , -2.183   ,  0.036129,\n",
       "         2.7648  , -0.20374 , -1.502   , -1.0396  , -0.6952  , -0.46581 ,\n",
       "         0.3578  ,  0.56202 ,  0.24223 ,  0.010012, -1.0596  , -0.18928 ,\n",
       "        -0.41244 ,  0.23606 , -0.16125 ,  0.1498  , -0.83872 ,  0.94031 ,\n",
       "        -0.005927,  0.54125 ], dtype=float32),\n",
       " 'building': array([ 0.96946 ,  0.51658 ,  0.40869 , -0.44261 ,  0.52557 , -0.43554 ,\n",
       "        -0.8864  , -0.72144 , -0.32513 , -0.59368 , -0.61602 , -0.5777  ,\n",
       "        -0.57443 ,  0.05468 , -0.5763  ,  0.48652 ,  0.10411 ,  0.80692 ,\n",
       "         0.071993, -0.25208 ,  1.2826  ,  0.16648 , -1.6472  , -0.73222 ,\n",
       "        -0.40618 , -1.0784  , -0.054301,  0.42463 ,  0.29449 ,  0.039102,\n",
       "         3.3546  , -0.95662 ,  0.16766 , -0.88352 , -0.071421,  0.64726 ,\n",
       "         0.67146 ,  0.43414 ,  0.41453 ,  0.43332 , -0.38089 , -1.0239  ,\n",
       "         0.14656 ,  0.047804, -0.078527,  0.53889 , -0.80031 , -0.73521 ,\n",
       "        -0.028602, -0.29638 ], dtype=float32),\n",
       " 'conference': array([-0.21697  ,  0.94835  , -0.88438  ,  0.97536  ,  0.25632  ,\n",
       "        -1.1908   , -0.81751  , -0.1973   , -0.20786  , -1.0915   ,\n",
       "        -0.5471   , -0.8693   , -0.76631  ,  0.52825  ,  0.39574  ,\n",
       "         0.095783 ,  0.15912  , -0.42511  , -0.3518   ,  0.32289  ,\n",
       "         0.31091  ,  0.027308 ,  0.38888  , -0.1336   , -0.32942  ,\n",
       "        -1.2158   ,  0.47267  ,  0.044909 , -1.4891   , -0.0047138,\n",
       "         2.9196   ,  0.81737  , -1.0941   , -1.096    , -0.44401  ,\n",
       "        -0.60875  ,  0.18882  ,  0.49697  , -0.32799  ,  0.099082 ,\n",
       "        -0.9137   , -0.51386  , -0.53066  , -0.33415  ,  0.47959  ,\n",
       "         1.0327   , -0.21472  ,  1.2199   , -0.073675 ,  0.16699  ],\n",
       "       dtype=float32),\n",
       " 'club': array([-0.60524 ,  0.9714  , -1.3454  ,  0.24372 , -0.48454 , -0.64381 ,\n",
       "        -1.4779  ,  0.61213 , -0.93022 ,  0.018383,  0.57605 ,  0.19867 ,\n",
       "        -0.87184 , -0.49864 ,  0.45714 , -0.29653 ,  0.62695 ,  1.0928  ,\n",
       "        -1.3212  ,  0.14745 , -0.042093,  0.17285 , -0.22004 ,  1.3502  ,\n",
       "        -1.1923  , -1.2127  ,  0.17823 ,  0.28023 , -0.71523 , -0.42732 ,\n",
       "         2.791   ,  0.87324 , -0.12511 ,  0.157   ,  0.35676 ,  0.39276 ,\n",
       "         0.19509 ,  0.39797 ,  0.38557 , -1.3563  ,  0.48354 , -0.93796 ,\n",
       "        -0.4657  ,  0.24004 , -0.27014 ,  0.20463 , -0.52576 ,  0.021419,\n",
       "         0.5975  , -0.52605 ], dtype=float32),\n",
       " 'january': array([-0.10179 , -0.12605 , -0.039728, -0.33016 , -0.25766 ,  0.11726 ,\n",
       "        -1.2194  , -0.01714 , -0.58397 , -0.60215 ,  0.53763 , -0.46996 ,\n",
       "        -0.42836 , -0.58241 ,  1.312   ,  0.13957 , -1.3512  , -0.33969 ,\n",
       "        -1.5361  ,  0.90099 ,  1.2999  , -0.41219 ,  0.76258 , -0.4796  ,\n",
       "        -0.74084 , -1.1338  ,  0.61153 , -0.40586 , -0.18051 ,  1.1741  ,\n",
       "         2.8551  , -0.45732 , -0.77043 , -0.36132 ,  0.19092 , -0.59978 ,\n",
       "         0.62834 ,  0.099316,  0.13349 , -0.43219 , -0.56241 , -0.37744 ,\n",
       "        -0.31458 , -1.3884  , -0.87126 ,  0.055197, -0.27641 , -0.56944 ,\n",
       "         0.073814,  0.075382], dtype=float32),\n",
       " 'decision': array([ 0.020637 , -0.59704  , -0.42771  ,  0.45118  ,  0.37551  ,\n",
       "        -0.090939 ,  0.18943  ,  0.82289  , -0.18554  , -0.11665  ,\n",
       "        -0.028869 ,  0.082758 , -0.71106  , -0.082236 ,  0.78368  ,\n",
       "         0.64198  ,  0.20384  , -1.0338   ,  0.10133  , -0.62621  ,\n",
       "         0.062248 , -0.022195 , -0.36175  , -0.5099   ,  0.0037395,\n",
       "        -2.3864   ,  0.27427  ,  0.027299 , -0.34705  ,  0.052486 ,\n",
       "         2.914    , -0.099187 , -1.1691   , -0.44007  , -0.34964  ,\n",
       "        -1.1051   ,  0.91434  , -0.072429 , -0.40384  , -0.57132  ,\n",
       "        -0.31572  ,  0.07733  , -0.17125  ,  0.14912  , -0.36032  ,\n",
       "         0.50577  , -0.69998  ,  1.051    ,  0.093151 ,  0.61208  ],\n",
       "       dtype=float32),\n",
       " 'stock': array([-7.4300e-02, -7.7841e-01,  4.9341e-01,  7.3968e-01,  7.5540e-01,\n",
       "        -7.8968e-01, -6.3113e-01, -5.4916e-01, -4.3567e-01,  6.8255e-01,\n",
       "         7.4013e-02,  3.6359e-01, -6.0005e-01, -3.4957e-01,  4.2048e-01,\n",
       "         7.3399e-01, -1.1110e+00, -3.9159e-01, -9.7131e-01, -8.5833e-01,\n",
       "         2.0588e+00, -3.9448e-01,  1.1897e-01, -2.3794e-01, -9.7022e-01,\n",
       "        -1.0812e+00, -1.6123e-01,  1.8695e-01,  3.6667e-01,  3.0179e-01,\n",
       "         3.2035e+00,  3.7224e-02,  1.1320e+00,  6.7364e-01,  4.5764e-01,\n",
       "        -1.6357e+00, -1.2271e+00, -2.9407e-01,  6.4260e-01, -7.4074e-01,\n",
       "        -4.3575e-01, -3.3630e-01,  4.5234e-01,  5.7153e-01,  2.9191e-03,\n",
       "         1.0863e-01,  3.1306e-01,  4.9593e-01,  8.2498e-01, -1.6104e-01],\n",
       "       dtype=float32),\n",
       " 'america': array([-0.13124  ,  0.46555  , -0.10921  ,  0.18759  ,  0.073319 ,\n",
       "        -0.40072  , -1.1418   , -0.52592  ,  0.20455  ,  0.22532  ,\n",
       "         0.19891  ,  0.21863  , -0.14053  ,  0.026534 ,  0.35482  ,\n",
       "        -0.27559  , -0.14433  ,  0.14208  , -0.23811  , -0.0045941,\n",
       "        -0.14462  , -0.10607  , -0.23974  ,  0.44399  , -0.033788 ,\n",
       "        -1.774    , -0.97388  , -0.33887  ,  0.29913  , -0.21471  ,\n",
       "         2.9346   ,  0.47296  , -0.069746 , -0.42937  , -1.0228   ,\n",
       "        -1.1021   , -1.149    , -0.39353  , -0.46068  , -0.63748  ,\n",
       "        -0.38899  , -0.50266  ,  0.9211   , -0.40483  , -0.19845  ,\n",
       "         0.9402   , -0.59246  , -0.33818  , -0.54872  ,  0.41818  ],\n",
       "       dtype=float32),\n",
       " 'given': array([ 0.43768  ,  0.5543   , -0.27591  , -0.36805  ,  0.82612  ,\n",
       "         0.14132  , -0.0063327,  0.17197  , -0.0042713,  0.14954  ,\n",
       "         0.30217  ,  0.43632  ,  0.053702 , -0.59632  ,  0.64761  ,\n",
       "        -0.024799 , -0.016603 , -0.40788  , -0.24985  , -0.58336  ,\n",
       "        -0.13173  , -0.18747  ,  0.26913  , -0.25625  ,  0.021073 ,\n",
       "        -1.6454   , -0.53461  , -0.12627  , -0.09779  ,  0.2995   ,\n",
       "         3.3942   ,  0.19733  , -0.31749  , -0.62559  ,  0.52945  ,\n",
       "         0.067728 ,  0.49578  ,  0.27542  , -0.35416  , -0.37977  ,\n",
       "         0.20921  ,  0.34261  , -0.32328  ,  0.53135  , -0.53123  ,\n",
       "        -0.39414  , -0.12909  ,  0.54714  ,  0.071181 ,  0.015065 ],\n",
       "       dtype=float32),\n",
       " 'give': array([ 0.30577 ,  0.30053 ,  0.22806 , -0.14625 ,  0.74309 , -0.14415 ,\n",
       "        -0.43512 ,  0.59286 , -0.1743  ,  0.47471 , -0.13492 ,  0.33909 ,\n",
       "         0.093609, -0.11892 ,  0.31555 ,  0.3845  ,  0.54051 , -0.69359 ,\n",
       "         0.24688 , -0.93476 , -0.041963,  0.25972 , -0.004559, -0.1688  ,\n",
       "         0.088309, -1.7161  , -0.16327 , -0.40159 ,  0.13859 , -0.93499 ,\n",
       "         3.366   ,  1.1006  , -0.96759 , -0.092375,  0.19996 , -0.17415 ,\n",
       "         0.1836  ,  0.20687 ,  0.10418 , -0.7353  ,  0.33549 ,  0.11443 ,\n",
       "        -0.016682,  0.23897 , -0.036168,  0.25008 , -0.19502 ,  0.70866 ,\n",
       "        -0.039504,  0.18456 ], dtype=float32),\n",
       " 'often': array([ 0.48292 , -0.10589 , -0.48755 , -0.72499 , -0.033428,  0.64621 ,\n",
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       "         0.37097 , -0.008954,  0.27041 ,  0.12437 ,  0.04556 , -0.11547 ,\n",
       "         0.1824  , -1.0934  , -0.26857 ,  0.12346 ,  0.68076 ,  0.60554 ,\n",
       "         0.32689 , -1.4725  , -0.71837 ,  0.33633 ,  0.55901 , -0.12365 ,\n",
       "         3.6349  , -0.040454,  0.49109 , -0.99409 ,  0.049392,  0.50667 ,\n",
       "        -0.27718 ,  0.17365 , -0.74709 ,  0.10036 , -0.13906 ,  0.47679 ,\n",
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       "         0.35874  ,  0.0924   , -0.76549  , -0.06066  ,  0.93918  ,\n",
       "         0.4784   , -0.5998   , -0.26613  , -0.21686  , -0.24855  ,\n",
       "         0.90312  , -0.22478  , -0.12937  , -0.77057  , -0.88551  ,\n",
       "        -1.3216   ,  0.36958  , -0.17891  , -1.2563   ,  0.35598  ,\n",
       "         2.7497   ,  0.24336  , -0.83518  ,  0.092667 , -0.035689 ,\n",
       "        -0.65635  ,  0.77464  , -0.24306  , -0.2118   , -0.45756  ,\n",
       "        -0.33252  ,  0.27674  , -0.71245  , -1.0168   , -0.075886 ,\n",
       "         0.030037 , -1.0889   ,  0.87199  , -0.14546  ,  0.32641  ],\n",
       "       dtype=float32),\n",
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       "         1.1435e-01, -1.2184e+00, -4.2062e-01, -7.1196e-02,  2.9784e-01,\n",
       "         6.8724e-02, -1.8416e-01, -2.9445e-01,  1.3690e+00,  6.4011e-01,\n",
       "        -2.1719e-03, -7.6293e-01,  8.3049e-01, -6.3892e-01,  2.3664e-01,\n",
       "         1.2598e+00,  1.3755e+00,  6.2952e-01,  9.5859e-01, -5.1085e-02,\n",
       "        -1.4518e+00, -9.6676e-01,  4.0644e-01, -2.3187e-01,  2.0851e-02,\n",
       "         2.9767e+00,  4.6302e-01,  3.3165e-01, -8.2780e-01, -9.3105e-01,\n",
       "         5.1592e-01,  1.3862e-01, -5.3819e-01, -9.9028e-01, -4.1159e-01,\n",
       "         7.9342e-01,  1.0925e+00, -8.5656e-01, -7.1099e-01, -8.6361e-01,\n",
       "        -1.9168e-01, -1.0595e+00,  2.3377e-01, -2.7208e-01,  6.0741e-01],\n",
       "       dtype=float32),\n",
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       "        -0.0070348, -1.0761   , -0.90088  ,  0.77681  ,  0.40085  ,\n",
       "         0.38089  ,  0.28874  , -0.060781 ,  0.50261  ,  0.35329  ,\n",
       "         0.33612  ,  0.30798  ,  0.59823  ,  0.54213  , -0.97372  ,\n",
       "         1.5111   , -0.41307  , -0.76211  , -0.37469  ,  0.02518  ,\n",
       "        -1.4714   , -0.83896  , -0.35724  , -0.026749 ,  0.72309  ,\n",
       "         3.521    , -0.18569  ,  0.67068  , -0.052258 , -0.66455  ,\n",
       "        -0.29726  , -0.97687  ,  0.49211  ,  0.53109  , -0.087831 ,\n",
       "        -0.85146  ,  0.16847  ,  0.30176  , -0.017128 ,  0.69863  ,\n",
       "         0.23545  , -0.89876  ,  0.53365  ,  0.20891  ,  0.2713   ],\n",
       "       dtype=float32),\n",
       " 'order': array([ 0.59594 ,  0.027426, -0.37212 , -0.43777 ,  0.90033 , -0.10551 ,\n",
       "         0.3488  ,  0.34644 ,  0.11622 , -0.46675 ,  0.40657 ,  1.0254  ,\n",
       "        -0.072136, -0.12719 ,  0.20944 ,  0.22438 , -0.32991 , -0.89753 ,\n",
       "         0.061887, -0.78079 ,  0.55576 , -0.72526 , -0.32109 , -0.090179,\n",
       "        -0.49251 , -1.4597  , -0.19504 , -1.1512  ,  0.4673  ,  0.13954 ,\n",
       "         3.3605  ,  0.096328, -1.2275  , -0.45464 ,  0.2279  ,  0.2145  ,\n",
       "         0.50552 , -0.40703 , -0.2411  ,  0.15025 ,  0.063791, -0.34117 ,\n",
       "         0.22175 ,  0.25812 , -0.397   ,  0.48599 , -0.17694 , -0.37738 ,\n",
       "         0.18143 , -0.27109 ], dtype=float32),\n",
       " 'young': array([-0.3874   ,  0.79979  ,  0.008999 , -1.0586   ,  0.84764  ,\n",
       "         0.48831  , -1.2072   , -0.041094 , -0.77811  ,  0.22285  ,\n",
       "         0.14036  ,  0.30871  ,  0.056524 ,  0.38498  ,  0.35064  ,\n",
       "        -0.61762  ,  0.57805  ,  0.37778  , -0.38288  , -0.059694 ,\n",
       "        -0.69362  ,  1.0951   ,  0.29218  ,  0.72216  ,  0.45157  ,\n",
       "        -1.7643   , -0.36862  , -0.99758  , -0.32863  , -0.3417   ,\n",
       "         2.7919   ,  0.59432  ,  0.14142  , -0.47239  ,  0.40147  ,\n",
       "         0.34521  , -0.43788  ,  0.04117  , -0.0063478, -0.71631  ,\n",
       "        -0.40433  ,  0.36837  ,  0.19039  , -0.011441 ,  1.338    ,\n",
       "        -0.63506  , -0.39155  , -1.0359   , -0.14267  ,  0.29742  ],\n",
       "       dtype=float32),\n",
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       "        -0.35121  , -1.1107   ,  0.16619  , -0.42679  ,  0.12851  ,\n",
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       "        -0.66579  ,  0.75199  ,  1.0343   ,  0.00612  ,  0.93806  ,\n",
       "        -1.7012   , -1.0297   ,  0.52784  ,  1.0621   , -0.96727  ,\n",
       "         3.3631   ,  0.71049  ,  0.30205  , -0.33523  , -0.016325 ,\n",
       "         0.091506 , -0.0084362,  0.94557  ,  0.18032  , -0.3841   ,\n",
       "        -0.64491  , -0.16969  , -0.12661  ,  0.98945  , -0.08393  ,\n",
       "        -0.088276 , -0.22433  , -0.028197 , -0.51003  ,  0.61695  ],\n",
       "       dtype=float32),\n",
       " 'palestinian': array([ 8.2193e-02,  4.1755e-01,  8.0312e-01, -1.1098e+00,  8.2006e-01,\n",
       "         2.0204e-01, -1.6934e-01,  7.1930e-01, -3.2702e-01, -5.9018e-01,\n",
       "        -4.8967e-01, -1.7237e+00, -6.4132e-01,  6.5841e-01, -4.8059e-01,\n",
       "         7.5293e-01,  1.0520e+00, -7.6980e-01,  1.2165e+00,  1.0777e+00,\n",
       "         4.6865e-01,  1.3557e+00, -1.6954e-01, -1.6717e-02, -4.8744e-01,\n",
       "        -1.3763e+00,  1.4554e-01, -4.6181e-02,  4.9855e-01,  7.0022e-01,\n",
       "         3.2458e+00,  1.6429e-03, -1.1349e+00,  1.8355e-01,  2.4007e-01,\n",
       "         6.8890e-01,  5.6190e-01, -1.4129e+00, -7.0600e-01,  1.0775e+00,\n",
       "        -7.6340e-01, -2.9536e-01, -2.3348e-01, -6.5936e-01,  8.5018e-01,\n",
       "        -1.1860e+00, -1.0724e+00,  1.3419e+00, -1.5711e-01, -1.0302e+00],\n",
       "       dtype=float32),\n",
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       "        -0.67604 , -0.84342 , -0.7357  ,  0.28724 ,  0.64751 , -0.36217 ,\n",
       "         0.11489 , -0.34018 ,  1.1601  ,  0.27203 , -0.45293 ,  0.20521 ,\n",
       "        -0.80958 ,  0.55343 , -0.21324 ,  0.91777 ,  0.6683  ,  0.055886,\n",
       "         0.39708 , -0.89999 , -1.1099  , -0.91207 ,  0.34395 ,  0.44252 ,\n",
       "         2.944   ,  0.25974 ,  0.24117 , -0.65958 ,  0.7578  , -0.13787 ,\n",
       "         0.19865 ,  0.25054 ,  0.4246  , -0.1881  , -1.0105  , -0.49458 ,\n",
       "         0.56892 ,  0.75452 , -0.47241 , -0.43876 ,  0.13308 , -0.91405 ,\n",
       "        -0.086182, -0.17988 ], dtype=float32),\n",
       " 'start': array([ 0.077252 , -0.19066  , -0.13526  , -0.17215  , -0.15956  ,\n",
       "        -0.48406  , -1.142    ,  0.46218  , -0.19232  ,  0.081236 ,\n",
       "        -0.32315  , -0.2377   , -1.1761   ,  0.24611  ,  1.0217   ,\n",
       "         0.0057534,  0.11035  , -0.45541  , -0.65365  , -0.34905  ,\n",
       "         0.30467  , -0.068527 ,  0.10247  ,  0.040885 ,  0.30685  ,\n",
       "        -1.1224   ,  0.57875  , -0.16792  ,  0.84791  , -0.2942   ,\n",
       "         3.6048   ,  1.0393   , -0.68009  ,  0.15662  ,  0.085625 ,\n",
       "        -0.011575 ,  0.14908  ,  0.66991  , -0.13155  , -0.2162   ,\n",
       "        -0.75851  , -0.55175  , -0.34866  , -0.010021 ,  0.21793  ,\n",
       "         0.35662  ,  0.56263  ,  0.19285  , -0.2547   ,  0.17717  ],\n",
       "       dtype=float32),\n",
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       "        -2.3078e-01, -2.1311e-01, -3.2287e-01, -1.7134e-02, -7.3453e-01,\n",
       "        -5.0960e-01,  3.2207e-01, -1.0852e-01, -1.4796e-01, -2.4282e-01,\n",
       "         4.5954e-01, -4.3213e-01, -3.0205e-04,  9.4605e-01, -4.7284e-02,\n",
       "         2.1891e-01, -2.0942e-02,  4.2098e-03, -1.3219e+00,  3.0467e-02,\n",
       "        -2.7810e+00,  3.0759e-01,  2.4999e-01, -6.0674e-01,  4.7063e-01,\n",
       "         2.8933e+00, -1.7422e-01, -1.0242e+00, -1.4650e+00, -3.2355e-01,\n",
       "        -1.3185e-01, -3.6402e-01,  3.7143e-01, -1.9473e-01, -1.7230e-01,\n",
       "        -8.2504e-01,  5.1716e-01,  1.5645e-01, -1.1066e-01, -5.9742e-01,\n",
       "         3.1153e-02, -7.6125e-01,  1.2276e+00,  1.1377e-01,  3.6713e-01],\n",
       "       dtype=float32),\n",
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       "        -0.022592,  1.3055  , -1.3762  , -0.44537 ,  0.99859 , -0.57531 ,\n",
       "         0.29709 ,  1.7798  , -0.03471 , -0.71318 , -0.42837 ,  0.3603  ,\n",
       "        -0.19656 ,  0.36152 ,  0.51278 , -0.3219  , -0.60105 , -0.24699 ,\n",
       "        -0.071204, -2.5388  , -0.51611 , -0.095628,  0.22978 ,  0.4803  ,\n",
       "         2.7303  , -0.30283 , -0.37695 ,  0.042352, -0.54901 ,  0.29083 ,\n",
       "        -0.5934  ,  0.66886 , -0.62287 ,  0.3838  ,  0.57779 ,  0.044094,\n",
       "         1.8773  , -1.4023  ,  0.52847 , -0.33256 , -0.74839 ,  1.2133  ,\n",
       "        -0.6449  , -0.71372 ], dtype=float32),\n",
       " 'prices': array([-0.69194 , -0.52312 ,  0.8382  , -0.33673 ,  0.17879 , -0.84447 ,\n",
       "        -0.56553 , -0.73776 ,  0.032885,  1.0243  ,  0.32449 , -0.12127 ,\n",
       "         0.086144, -0.43705 ,  0.9202  ,  1.3683  , -0.36278 , -0.91755 ,\n",
       "        -0.40405 , -1.5394  ,  1.8192  , -1.1201  ,  0.20566 , -0.46135 ,\n",
       "        -0.39751 , -1.0601  ,  0.05019 ,  0.61388 ,  1.2599  ,  1.423   ,\n",
       "         3.7054  ,  0.3231  ,  1.4104  ,  0.60227 ,  0.54725 , -1.33    ,\n",
       "        -0.88951 ,  0.048926,  0.33836 , -0.3242  , -0.94471 ,  0.42553 ,\n",
       "         0.76416 , -0.22349 ,  0.90342 ,  0.023828,  0.046381,  0.37179 ,\n",
       "         0.90015 ,  0.01424 ], dtype=float32),\n",
       " 'round': array([-0.51244 ,  0.37181 , -0.26364 ,  0.99462 , -0.37948 ,  0.027235,\n",
       "        -0.17732 ,  1.0833  , -0.31456 , -0.46593 , -0.61127 , -1.1127  ,\n",
       "        -1.1977  ,  0.61233 ,  0.53078 , -0.41192 ,  0.41183 , -1.0644  ,\n",
       "        -1.2442  , -0.64279 , -0.40882 , -0.34751 ,  0.364   , -0.10313 ,\n",
       "        -0.23033 , -0.87574 ,  0.48898 , -0.071108, -0.18226 , -0.43197 ,\n",
       "         3.1387  ,  0.62531 , -0.45273 ,  0.71353 ,  0.37931 , -0.011962,\n",
       "         0.6446  ,  1.2584  , -0.48879 , -1.1429  , -0.17432 , -0.39026 ,\n",
       "         0.20802 , -0.39155 ,  0.26571 ,  0.70799 ,  0.5553  , -0.31012 ,\n",
       "        -0.063959, -0.18801 ], dtype=float32),\n",
       " 'december': array([-0.031303 , -0.15916  ,  0.0087058, -0.27213  , -0.096439 ,\n",
       "         0.0087381, -1.1305   ,  0.024161 , -0.54031  , -0.55146  ,\n",
       "         0.53758  , -0.49969  , -0.45525  , -0.56227  ,  1.3247   ,\n",
       "         0.12214  , -1.24     , -0.39651  , -1.6381   ,  0.92346  ,\n",
       "         1.407    , -0.35614  ,  0.77905  , -0.5337   , -0.63589  ,\n",
       "        -1.1619   ,  0.68982  , -0.35725  , -0.10574  ,  1.1698   ,\n",
       "         2.936    , -0.51944  , -0.94755  , -0.24426  ,  0.21839  ,\n",
       "        -0.78674  ,  0.61546  ,  0.031615 ,  0.076944 , -0.36913  ,\n",
       "        -0.72237  , -0.47175  , -0.24331  , -1.4285   , -0.61972  ,\n",
       "         0.14419  , -0.32552  , -0.62334  ,  0.12412  , -0.04017  ],\n",
       "       dtype=float32),\n",
       " 'nations': array([ 0.16043 ,  0.19233 , -0.4717  , -0.29434 ,  0.18569 , -0.2274  ,\n",
       "         0.23103 , -0.25918 ,  0.63238 , -0.72869 ,  0.36888 , -0.06803 ,\n",
       "        -0.38184 ,  0.25583 ,  0.57007 ,  0.34414 ,  1.3895  , -0.52282 ,\n",
       "         0.36185 , -0.024794, -0.19737 ,  0.12493 ,  0.58995 , -0.12013 ,\n",
       "        -0.52201 , -1.2827  ,  0.64266 , -0.32496 , -0.78114 ,  0.56306 ,\n",
       "         3.3879  ,  0.85951 , -0.78461 , -0.51858 , -0.25689 , -0.40831 ,\n",
       "        -0.053219, -0.12121 , -1.4284  , -0.22567 , -0.85986 , -0.33894 ,\n",
       "         1.7673  , -1.2952  , -0.093276,  1.1009  , -1.0676  ,  1.0586  ,\n",
       "        -0.79666 , -0.6323  ], dtype=float32),\n",
       " \"'m\": array([-0.61199 , -0.068387,  0.018546, -0.82272 ,  0.94799 , -0.57071 ,\n",
       "        -0.69855 ,  0.52861 , -0.57613 ,  0.4641  , -0.3344  ,  0.3316  ,\n",
       "        -0.88936 ,  0.30607 ,  1.2336  ,  0.11551 ,  0.61572 ,  0.7174  ,\n",
       "         0.069311, -0.74619 , -0.99246 ,  1.2628  ,  0.74438 ,  0.64764 ,\n",
       "         1.4961  , -2.1165  , -0.86129 ,  0.69027 ,  1.1064  , -0.88764 ,\n",
       "         2.9784  ,  0.72146 , -0.098183,  0.14069 , -0.47226 , -0.58633 ,\n",
       "         0.42419 ,  0.58975 ,  0.42007 , -0.87982 , -0.33754 , -0.3831  ,\n",
       "        -0.25257 ,  0.81279 ,  0.29034 , -0.087229, -0.40791 , -0.24318 ,\n",
       "         0.20265 ,  1.3555  ], dtype=float32),\n",
       " 'human': array([ 0.61854 ,  0.11915 , -0.46786 ,  0.31368 ,  1.0334  ,  0.95964 ,\n",
       "         0.87803 , -1.0346  ,  1.6322  ,  0.29347 ,  0.80844 , -0.058903,\n",
       "         0.021251,  0.40986 ,  0.54443 , -0.33311 ,  0.53712 , -0.35823 ,\n",
       "         0.29374 ,  0.090151, -0.92049 ,  0.69386 ,  0.39098 , -0.64392 ,\n",
       "         0.77831 , -1.7215  , -0.48393 , -0.50327 , -0.22508 ,  0.099192,\n",
       "         3.2095  , -0.31554 , -0.71754 , -1.6752  , -1.3537  ,  0.15195 ,\n",
       "         0.054557, -0.1633  , -0.027993,  0.3917  , -0.55007 , -0.079205,\n",
       "         0.63389 ,  0.51446 ,  0.70124 ,  0.27638 , -0.53445 ,  0.064808,\n",
       "        -0.21974 , -0.52048 ], dtype=float32),\n",
       " 'india': array([-0.20356 , -0.8707  , -0.19172 ,  0.73862 ,  0.18494 ,  0.14926 ,\n",
       "         0.48079 , -0.21633 ,  0.72753 , -0.36912 ,  0.13397 , -0.1143  ,\n",
       "        -0.18075 , -0.64683 , -0.18484 ,  0.83575 ,  0.48179 ,  0.76026 ,\n",
       "        -0.50381 ,  0.80743 ,  1.2195  ,  0.3459  ,  0.22185 ,  0.31335 ,\n",
       "         1.2066  , -1.8441  ,  0.14064 , -0.99715 , -1.1402  ,  0.32342 ,\n",
       "         3.2128  ,  0.42708 ,  0.19504 ,  0.80113 ,  0.38555 , -0.12568 ,\n",
       "        -0.26533 ,  0.055264, -1.1557  ,  0.16836 , -0.82228 ,  0.20394 ,\n",
       "         0.089235, -0.60125 , -0.032878,  1.3735  , -0.51661 ,  0.29611 ,\n",
       "         0.23951 , -1.3801  ], dtype=float32),\n",
       " 'defense': array([-0.19556 , -0.76193 ,  0.15324 ,  0.69566 ,  0.74593 , -0.3695  ,\n",
       "        -0.094714,  0.024439, -0.72206 , -0.91569 , -0.2707  ,  0.19101 ,\n",
       "        -0.70041 ,  0.32531 , -0.36935 , -0.33111 ,  0.22408 , -0.34193 ,\n",
       "        -0.29353 ,  0.23791 , -0.5413  ,  0.26922 , -0.37661 , -1.601   ,\n",
       "        -0.43304 , -2.304   ,  0.61779 , -0.27389 , -0.29025 , -0.12482 ,\n",
       "         2.8122  , -0.21196 , -0.54836 , -0.69872 ,  0.025805,  0.82105 ,\n",
       "         0.038331,  0.65872 , -0.19583 , -0.038347,  0.18242 ,  0.65239 ,\n",
       "         0.6486  , -0.11301 ,  0.31405 ,  0.20432 , -0.54168 ,  1.7445  ,\n",
       "        -0.32063 ,  0.70769 ], dtype=float32),\n",
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       "        -0.34098  , -0.80298  ,  0.65853  , -0.42797  , -0.61368  ,\n",
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       "         0.46471  , -0.16932  , -0.37244  ,  0.53189  , -0.67248  ,\n",
       "         0.2037   ,  0.92642  ,  0.40655  , -0.12211  ,  0.35366  ,\n",
       "        -2.3814   ,  0.016283 , -0.029915 , -0.65479  , -0.75188  ,\n",
       "         2.3825   ,  0.078445 , -0.94136  , -0.50593  , -0.055964 ,\n",
       "        -0.58799  ,  0.48748  , -0.068667 ,  0.33584  ,  0.0062263,\n",
       "         0.055027 ,  0.80432  , -0.16203  , -0.049612 ,  0.26343  ,\n",
       "        -0.32295  , -0.78767  ,  0.45976  , -0.22192  ,  0.78108  ],\n",
       "       dtype=float32),\n",
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       "         0.26284  ,  0.33257  , -0.52556  ,  0.85849  ,  0.047906 ,\n",
       "        -0.1977   , -1.0439   ,  0.10277  , -0.90759  ,  0.99732  ,\n",
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       "         0.14427  , -0.53134  ,  0.60712  , -0.84175  , -0.4563   ,\n",
       "        -0.2801   , -0.30272  , -0.56143  , -0.1071   ,  0.47755  ,\n",
       "         3.7739   ,  0.50036  ,  0.58046  ,  0.67764  ,  0.26814  ,\n",
       "        -0.19158  ,  0.73192  ,  0.1902   ,  0.16642  ,  0.10565  ,\n",
       "        -0.69207  , -0.56708  ,  0.77336  ,  0.22869  , -1.4824   ,\n",
       "        -0.067621 , -0.86072  ,  0.6989   ,  0.0096362, -0.23942  ],\n",
       "       dtype=float32),\n",
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       "        -1.2111  ,  0.026478, -0.49594 , -0.56652 ,  0.58705 , -0.48588 ,\n",
       "        -0.43601 , -0.55925 ,  1.2235  ,  0.12247 , -1.2527  , -0.35821 ,\n",
       "        -1.7383  ,  0.92869 ,  1.4164  , -0.36431 ,  0.71451 , -0.48586 ,\n",
       "        -0.57347 , -1.1225  ,  0.52793 , -0.36691 , -0.093403,  1.0131  ,\n",
       "         2.8094  , -0.49318 , -0.76061 , -0.41597 ,  0.15791 , -0.61273 ,\n",
       "         0.71175 , -0.017713, -0.014221, -0.37319 , -0.56056 , -0.52797 ,\n",
       "        -0.32835 , -1.5208  , -0.53887 ,  0.03682 , -0.34725 , -0.7469  ,\n",
       "         0.041686, -0.03517 ], dtype=float32),\n",
       " 'players': array([-9.1399e-01,  8.4152e-02,  6.4889e-02,  3.8138e-01,  1.0120e-01,\n",
       "        -4.1253e-01, -1.0374e+00,  5.8694e-01, -1.0811e+00,  4.1565e-01,\n",
       "         7.5995e-01,  5.8594e-01, -1.0692e+00,  2.8048e-01,  1.0978e+00,\n",
       "        -2.2174e-02,  5.0837e-01, -1.1568e-02, -7.8902e-01, -1.2340e+00,\n",
       "        -1.1572e+00,  3.1983e-01,  4.2662e-01,  5.2228e-01, -2.8263e-01,\n",
       "        -1.1629e+00,  3.8899e-01, -5.7561e-01, -3.0536e-01, -1.0698e+00,\n",
       "         3.4031e+00,  1.2970e+00,  4.0442e-01, -5.0792e-01,  8.6177e-01,\n",
       "         7.7060e-01,  4.8023e-01,  4.9316e-01, -4.2102e-01, -8.6115e-01,\n",
       "        -1.3608e-02,  7.4204e-02,  3.6231e-02,  1.1018e+00,  1.3154e-01,\n",
       "         2.0627e-01, -2.9658e-03,  6.5953e-01, -7.2998e-01, -1.9931e-01],\n",
       "       dtype=float32),\n",
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       "        -1.2893  , -0.97779 , -0.13548 , -0.60693 , -1.3781  ,  0.63347 ,\n",
       "         0.13316 ,  0.24632 ,  0.66026 , -0.044613,  0.40951 , -0.76167 ,\n",
       "         0.46753 , -0.66781 ,  0.29985 , -0.27481 , -0.54799 , -0.85682 ,\n",
       "         0.053088, -2.017   ,  0.74853 , -0.12783 ,  0.13205 , -0.21945 ,\n",
       "         2.2983  , -0.31768 , -0.86494 , -0.10863 , -0.081377, -0.70342 ,\n",
       "         0.46    , -0.33473 ,  0.043703, -0.75508 , -0.68971 ,  0.71438 ,\n",
       "        -0.083595,  0.015862, -0.52385 ,  0.17252 , -0.49874 ,  0.23081 ,\n",
       "        -0.36469 ,  1.5456  ], dtype=float32),\n",
       " 'important': array([ 0.65589 ,  0.66375 , -0.7962  ,  0.2687  ,  0.79673 , -0.024101,\n",
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       "         0.036775, -0.083272, -0.22605 ,  0.098482,  0.89479 , -0.27339 ,\n",
       "         0.37018 , -0.13519 ,  0.026567, -0.7416  , -0.20439 ,  0.072959,\n",
       "         0.54386 , -1.3531  , -0.9265  , -0.42399 ,  0.19336 ,  0.028751,\n",
       "         3.6853  ,  0.051604, -0.021376, -1.1859  ,  0.12075 ,  0.074049,\n",
       "        -0.34252 ,  0.94405 , -0.61205 ,  0.41999 , -0.35065 , -0.28219 ,\n",
       "         0.03396 ,  0.14182 , -0.030903,  0.56881 , -0.28367 ,  0.57563 ,\n",
       "         0.15255 ,  0.044376], dtype=float32),\n",
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       "        -0.72136 ,  0.49718 ,  0.25563 , -0.98405 , -0.022843, -1.475   ,\n",
       "         0.75516 , -0.68126 , -0.99421 ,  0.21458 ,  0.23655 ,  0.61341 ,\n",
       "        -0.88823 ,  0.91171 , -0.62251 ,  0.022469, -0.074472,  0.77746 ,\n",
       "        -0.31118 , -1.8815  , -0.15067 ,  0.39978 ,  0.040089, -0.037724,\n",
       "         3.4443  , -0.2935  , -0.044281,  0.11398 ,  0.47431 , -0.092505,\n",
       "        -1.1266  , -0.43603 , -0.097254,  0.80732 , -0.78934 ,  0.78961 ,\n",
       "         0.59111 , -1.0429  , -0.053713,  0.64187 , -0.3844  , -0.25182 ,\n",
       "        -0.47089 , -0.6333  ], dtype=float32),\n",
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       "        -0.14854  ,  0.056416 , -0.6039   ,  0.050023 ,  0.12079  ,\n",
       "         0.74701  ,  0.52859  , -0.7595   , -0.2347   , -0.63323  ,\n",
       "         0.24317  , -0.38396  , -0.38743  ,  0.011426 ,  0.086758 ,\n",
       "        -1.7793   ,  0.52389  ,  0.20522  ,  0.48076  , -0.28723  ,\n",
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       "        -0.22443  , -0.0069302, -0.032434 , -0.15128  ,  0.029392 ,\n",
       "         0.23027  ,  0.081415 ,  0.24245  , -0.097633 ,  0.18361  ],\n",
       "       dtype=float32),\n",
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       "        -0.43753 ,  0.52016 , -0.1449  , -0.83957 , -0.32243 , -0.71141 ,\n",
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       "        -0.09358 , -1.4951  ,  0.2663  ,  0.55315 ,  1.103   , -0.06003 ,\n",
       "         3.0834  , -0.57123 , -0.91293 , -0.52011 ,  0.057919,  0.8553  ,\n",
       "         0.75373 , -1.2263  ,  0.60596 ,  0.76143 , -0.02809 , -0.077767,\n",
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       "         0.14818 , -0.032635], dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "        -0.28544 ,  0.16409 ,  1.0008  ,  0.45067 , -0.32211 , -0.43219 ,\n",
       "         0.59451 , -0.064185,  0.7107  ,  0.023696,  0.41202 , -0.1931  ,\n",
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       "         0.37167 ,  0.30053 , -0.30654 ,  0.19544 , -0.13802 ,  1.2357  ,\n",
       "        -0.16794 , -0.069801], dtype=float32),\n",
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       "         2.4064e-01, -2.7987e-02,  4.4239e-01, -7.9430e-01,  6.0580e-01,\n",
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       "         7.7195e-02,  8.3558e-01,  2.9713e-01,  2.0219e-01, -4.1437e-01,\n",
       "         4.6622e-01,  4.0304e-01, -2.6113e-01, -2.5432e-01, -7.4666e-01,\n",
       "        -5.8930e-01, -7.2256e-01,  6.4339e-01, -2.6776e-01,  1.3484e-01],\n",
       "       dtype=float32),\n",
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       "         0.77982 , -0.042606, -0.070339,  0.17696 ,  0.52656 , -1.0707  ,\n",
       "         0.39665 , -1.8003  ,  0.94531 , -0.062871, -1.6083  ,  0.76949 ,\n",
       "         2.3832  , -0.34606 , -1.0622  , -0.48185 , -0.40752 , -0.61545 ,\n",
       "        -0.011299,  0.15103 , -0.13221 ,  0.52839 , -0.85786 ,  1.1558  ,\n",
       "        -0.35048 , -1.3524  ,  0.22705 ,  0.29751 , -1.3352  ,  0.56035 ,\n",
       "         0.27708 ,  1.1954  ], dtype=float32),\n",
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       "        -0.010598, -1.71    ,  0.52325 , -0.42484 ,  0.58099 , -0.012865,\n",
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       "        -5.2577e-01, -1.5977e+00, -2.5307e-01, -2.1699e-01, -5.6572e-01,\n",
       "        -1.4248e-01,  1.5765e-01,  1.8763e-01, -1.3173e+00, -5.3438e-01,\n",
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       "         3.9774e-01,  7.0346e-01, -3.2232e-01,  6.0171e-01, -1.3352e-01,\n",
       "        -1.8420e+00, -9.2598e-02, -1.1288e+00, -1.4859e+00, -8.6235e-01,\n",
       "         2.5976e+00,  6.6146e-01, -5.4094e-02, -1.5755e+00,  1.1185e+00,\n",
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       "         3.6049e-01,  6.1952e-01, -2.6356e-01, -3.7150e-01,  3.2093e-01],\n",
       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "         0.56835 , -1.717   , -0.7606  ,  0.43306 ,  0.4189  ,  0.091699,\n",
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       "       dtype=float32),\n",
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       "        -1.1735  , -0.3899  , -0.84325 ,  0.28799 , -0.49063 ,  0.47969 ,\n",
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       "        -0.3974  , -1.0008  ], dtype=float32),\n",
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       "         0.034124, -0.65288 ,  0.73289 ,  0.1267  ,  0.24617 , -0.22166 ,\n",
       "        -0.73607 , -1.1947  , -0.48604 , -0.26072 , -0.27699 , -0.11712 ,\n",
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       "        -0.21533 , -0.56147 , -0.13156 , -0.39451 , -0.16789 , -0.48905 ,\n",
       "         3.5038  ,  0.48105 ,  0.1655  ,  0.52752 ,  0.323   , -0.52776 ,\n",
       "         0.79106 , -0.37316 , -0.10233 ,  0.071076, -0.028671, -0.2327  ,\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "         0.55345 ,  0.50303 , -0.82706 , -0.15984 , -0.45192 , -0.13641 ,\n",
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       "        -0.19226 , -0.11675 ,  0.017398,  0.87905 ,  0.16556 ,  0.29426 ,\n",
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       "         0.55039 , -2.4405  ,  0.89472 ,  0.042552, -0.33361 , -0.44493 ,\n",
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       "        -0.017353,  0.12928 , -1.6166  , -0.87956 , -0.53023 , -0.98761 ,\n",
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       "         0.13964 , -0.049015,  0.3111  ,  0.4039  ,  0.82817 ,  0.066499,\n",
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       "        -0.10587 ,  0.82391 ,  0.20327 , -1.0366  , -0.029874,  0.10529 ,\n",
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       "         0.36894 , -0.5639  ,  0.49153 ,  0.5125  ,  0.13915 ,  0.10781 ,\n",
       "        -0.57389 ,  0.44195 ,  0.61679 , -0.29484 , -0.48019 ,  0.48993 ,\n",
       "         0.23011 , -1.1781  , -0.73597 ,  0.2413  ,  0.14777 , -0.45732 ,\n",
       "         2.9251  , -1.3054  , -0.30897 , -1.0374  , -0.3526  ,  0.32906 ,\n",
       "         0.65228 , -0.093902, -0.16523 ,  0.25728 ,  0.69112 , -0.77748 ,\n",
       "        -0.25591 ,  0.4406  ,  0.43058 ,  0.18659 , -0.2767  ,  0.13013 ,\n",
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       "        -0.36379 ,  0.1762  , -0.61716 , -0.3217  ,  0.34714 , -0.88422 ,\n",
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       "        -0.92351 , -0.19509 ,  0.40243 ,  0.11087 , -1.8546  ,  0.27695 ,\n",
       "         0.64107 , -1.0577  ], dtype=float32),\n",
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       "        -0.4429  ,  0.28122 ,  0.36606 ,  0.78263 ,  0.50841 , -0.36081 ,\n",
       "         0.386   , -1.0235  ,  0.10762 ,  0.11578 ,  0.2524  , -0.025313,\n",
       "         0.026976, -1.7654  ,  0.21529 ,  0.2338  ,  1.0036  , -0.42981 ,\n",
       "         3.3928  ,  1.0676  , -0.42449 , -0.082618, -0.36884 ,  0.17497 ,\n",
       "        -0.28572 ,  0.17852 ,  0.1916  , -0.67692 , -0.18997 , -0.10071 ,\n",
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       "        -0.29334 , -0.54872 ,  0.94744 , -0.33532 , -0.55191 , -0.13787 ,\n",
       "        -1.4434  ,  0.49393 ,  0.69831 ,  0.29998 ,  1.1021  , -0.25016 ,\n",
       "        -0.69508 , -0.73796 ,  0.61595 , -0.69719 ,  0.085591,  0.20042 ,\n",
       "         3.0881  ,  0.36165 , -0.36075 ,  0.30155 ,  0.7104  , -0.40491 ,\n",
       "         0.549   ,  0.30212 ,  0.6387  ,  0.33434 , -0.36957 , -0.066522,\n",
       "         0.74744 , -0.62257 , -1.1262  ,  0.13259 , -0.46804 , -0.65915 ,\n",
       "         0.24241 , -0.025532], dtype=float32),\n",
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       "         0.37453  ,  0.41136  , -0.12614  ,  0.48701  ,  0.4782   ,\n",
       "         0.35898  , -0.1709   ,  0.70284  ,  0.32207  ,  0.77503  ],\n",
       "       dtype=float32),\n",
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       "        -0.072581 , -0.48426  , -0.0037095, -0.10206  , -0.056203 ,\n",
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       "       dtype=float32),\n",
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       "        -0.026988 , -0.026806 , -0.34042  , -0.71384  , -0.62897  ,\n",
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       "        -1.8294   ,  0.20547  , -0.22041  ,  0.3139   ,  0.0093352,\n",
       "         3.1662   ,  0.89649  , -0.36806  , -0.15464  ,  0.46572  ,\n",
       "        -0.13157  ,  0.087858 ,  0.50727  , -0.24111  , -0.21144  ,\n",
       "        -0.34567  ,  0.21787  ,  0.2131   ,  0.42483  ,  0.42839  ,\n",
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       "       dtype=float32),\n",
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       "        -0.11682  , -0.23772  ,  1.912    , -0.12066  , -0.4151   ,\n",
       "         0.53134  ,  0.58102  ,  0.12538  , -1.4599   ,  0.55091  ,\n",
       "         0.16768  ,  0.20605  , -0.72056  ,  0.37258  ,  0.61595  ,\n",
       "        -1.4954   ,  0.49451  ,  0.34416  , -0.017137 , -0.42033  ,\n",
       "         2.6971   , -0.68734  , -0.45408  , -0.0083561,  0.23676  ,\n",
       "        -0.52051  , -0.62234  , -1.1631   , -0.27213  , -0.15058  ,\n",
       "        -0.87661  ,  0.75675  ,  0.83162  , -0.77628  , -0.78814  ,\n",
       "         0.18256  , -0.19269  , -1.3593   ,  0.11077  , -0.44198  ],\n",
       "       dtype=float32),\n",
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       "        -1.0699  , -0.40462 ,  0.11613 , -0.11666 ,  0.42058 , -0.48213 ,\n",
       "        -0.65609 , -0.29999 ,  1.3544  , -0.16838 , -0.29876 ,  0.13823 ,\n",
       "        -1.173   ,  0.4313  ,  0.63133 , -0.47646 ,  0.42857 , -0.019692,\n",
       "        -0.51861 , -0.80787 , -0.046115, -0.3715  , -0.97103 ,  0.29844 ,\n",
       "         2.8816  ,  0.26376 , -0.28809 , -0.5366  , -0.028455, -0.29233 ,\n",
       "         0.75185 ,  0.11399 , -0.41045 , -1.0701  , -0.55548 , -0.55349 ,\n",
       "        -0.45074 , -1.2425  , -0.77232 ,  0.082042, -0.20132 , -0.14724 ,\n",
       "         0.23778 ,  0.14667 ], dtype=float32),\n",
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       "        -0.82022 , -0.53517 ,  0.3272  , -0.033936,  0.24312 , -0.74328 ,\n",
       "        -0.69461 , -0.37738 ,  1.3478  , -0.29051 , -0.43088 ,  0.1342  ,\n",
       "        -1.0883  ,  0.65006 ,  0.55726 , -0.3751  ,  0.59949 , -0.045683,\n",
       "        -0.78824 , -0.95516 , -0.13219 , -0.39511 , -1.0123  ,  0.22978 ,\n",
       "         2.7733  , -0.15278 , -0.22311 , -0.4554  ,  0.14998 , -0.22761 ,\n",
       "         0.72682 ,  0.13138 , -0.33656 , -0.95987 , -0.6145  , -0.43239 ,\n",
       "        -0.18613 , -1.1799  , -0.7087  ,  0.2005  , -0.45079 , -0.056965,\n",
       "         0.072741,  0.082686], dtype=float32),\n",
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       "         0.65468 , -1.1154  ,  0.47597 ,  0.77803 ,  0.84934 , -0.82595 ,\n",
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       "       dtype=float32),\n",
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       "        -2.7604e-01,  4.6605e-01, -9.7154e-01,  3.5971e-02,  8.9279e-01,\n",
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       "        -6.7188e-01,  8.4035e-01,  3.1734e-01,  3.3727e-01,  1.3483e+00,\n",
       "        -1.9291e+00, -1.1992e+00,  6.0348e-01,  1.2938e+00, -9.2512e-01,\n",
       "         3.2757e+00,  7.5342e-01,  6.4755e-02, -3.1481e-01, -3.7328e-01,\n",
       "        -2.3711e-01, -2.5322e-01,  5.5946e-01,  2.6690e-01, -6.6446e-01,\n",
       "        -4.2612e-01, -5.1564e-02, -1.8357e-02,  4.1999e-01,  3.5430e-01,\n",
       "         2.6320e-01,  5.1319e-02, -2.4906e-02, -6.9572e-02,  1.1343e+00],\n",
       "       dtype=float32),\n",
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       "        -0.29226 , -0.22875 ,  0.029715, -0.20729 ,  0.24263 , -0.74336 ,\n",
       "        -0.67894 ,  0.50366 ,  0.13175 , -0.66325 , -0.93767 , -0.036856,\n",
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       "        -0.24321 ,  0.94718 , -0.59528 ,  0.60007 , -0.28403 , -0.091914,\n",
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       "         0.056152, -1.9064  , -0.13149 , -0.59662 , -0.78946 ,  0.92222 ,\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "         0.61251  , -0.48071  , -0.70613  , -0.32428  ,  1.3355   ,\n",
       "        -0.22007  , -0.30059  ,  0.21539  , -1.1485   ,  0.48812  ,\n",
       "         0.64302  , -0.4264   ,  0.45993  ,  0.032004 , -0.76522  ,\n",
       "        -0.79275  , -0.062704 , -0.42409  , -0.9937   ,  0.32371  ,\n",
       "         2.8406   , -0.058314 , -0.32633  , -0.46377  ,  0.20334  ,\n",
       "        -0.19239  ,  0.80145  ,  0.0050059, -0.24337  , -0.95408  ,\n",
       "        -0.43849  , -0.47036  , -0.33802  , -1.1411   , -0.81445  ,\n",
       "         0.071667 , -0.25737  , -0.14229  ,  0.16902  ,  0.085988 ],\n",
       "       dtype=float32),\n",
       " 'victory': array([-0.66385 ,  0.41015 ,  0.073617,  0.85937 ,  0.30031 , -0.11978 ,\n",
       "        -0.45367 ,  1.4574  , -0.73222 ,  0.28086 , -0.7589  , -1.2996  ,\n",
       "        -0.96887 , -0.57294 , -0.25255 , -0.7098  ,  0.52366 , -1.3184  ,\n",
       "        -1.7125  , -0.074232, -1.2343  , -0.37677 , -0.4526  , -0.95694 ,\n",
       "         0.36827 , -1.8201  , -0.20622 , -0.31884 ,  0.1527  , -0.30461 ,\n",
       "         2.3935  ,  1.3234  , -1.0144  ,  0.35188 , -0.17079 , -0.67128 ,\n",
       "         0.38904 ,  0.94105 , -0.42382 , -1.3848  ,  0.15837 , -0.59283 ,\n",
       "        -0.80945 , -0.46636 , -0.086871,  1.419   , -0.5528  , -0.19525 ,\n",
       "         0.43202 , -0.6991  ], dtype=float32),\n",
       " '8': array([-0.2564  ,  0.78335 ,  0.85796 ,  0.33682 ,  0.43033 ,  0.47916 ,\n",
       "        -0.41089 , -0.38794 , -0.68804 , -0.6897  , -0.27524 , -0.55619 ,\n",
       "        -0.19725 , -0.29213 ,  1.0106  , -0.52346 , -0.80605 , -0.2497  ,\n",
       "        -1.5444  ,  0.4259  ,  0.54156 , -0.34052 ,  1.176   ,  0.38937 ,\n",
       "        -0.46064 , -0.32152 ,  0.93312 , -0.5858  ,  0.29908 , -0.29216 ,\n",
       "         3.3221  ,  0.097658, -0.45206 ,  0.53439 ,  0.4306  , -0.43311 ,\n",
       "         0.80393 ,  0.14101 ,  0.58449 , -0.19426 ,  0.10779 , -0.40735 ,\n",
       "         0.69376 , -0.99923 , -0.57392 ,  1.007   ,  0.21793 , -0.86201 ,\n",
       "         0.38499 ,  0.57965 ], dtype=float32),\n",
       " 'low': array([-0.25589  ,  0.47538  ,  0.75416  , -1.0972   , -0.037572 ,\n",
       "         0.12092  , -0.10886  , -0.45542  ,  0.31374  ,  0.79293  ,\n",
       "         0.20958  , -0.42304  ,  0.63525  , -0.0046922, -0.20428  ,\n",
       "         0.4947   , -0.081891 , -0.30669  , -0.60734  , -0.62661  ,\n",
       "        -0.20518  , -0.22546  ,  0.15236  , -0.2035   , -0.26185  ,\n",
       "        -1.312    ,  0.45509  ,  0.65863  ,  0.77804  ,  1.3161   ,\n",
       "         3.7916   ,  0.24891  ,  0.94249  ,  0.1129   ,  0.83074  ,\n",
       "        -0.29118  , -0.2823   ,  0.39475  ,  0.46752  , -0.75958  ,\n",
       "        -0.36768  ,  0.63075  ,  0.43537  ,  0.41162  ,  0.056963 ,\n",
       "        -0.38209  ,  0.63026  , -0.13501  ,  0.26791  ,  0.27179  ],\n",
       "       dtype=float32),\n",
       " 'things': array([ 0.22678 , -0.14627 , -0.34042 , -0.39456 ,  0.72194 , -0.14548 ,\n",
       "        -0.40267 , -0.1647  , -0.62927 ,  0.35451 , -0.57827 ,  0.83488 ,\n",
       "        -0.89982 , -0.032669,  1.1455  ,  0.59324 ,  0.50642 , -0.082951,\n",
       "         0.49207 , -1.1169  , -0.063833,  0.5827  ,  0.60461 ,  0.19144 ,\n",
       "         1.1256  , -1.5186  , -1.1558  ,  0.36884 ,  1.5009  , -0.9557  ,\n",
       "         3.2162  ,  0.71336 , -0.17653 , -0.64164 , -0.18563 ,  0.19992 ,\n",
       "        -0.34019 ,  0.53515 ,  0.13862 , -0.099263, -0.59026 ,  0.10021 ,\n",
       "         0.17771 ,  0.71645 ,  0.19723 ,  0.39284 ,  0.24215 ,  0.082052,\n",
       "         0.045228,  0.63316 ], dtype=float32),\n",
       " '2010': array([-0.46327,  0.59014,  0.1049 ,  0.52808, -0.48113,  0.10775,\n",
       "        -1.044  , -0.53841,  0.28762, -0.27926,  0.58519, -0.40067,\n",
       "        -0.39049, -0.39667,  1.3438 , -0.1516 , -0.13518,  0.30073,\n",
       "        -1.1548 ,  0.42484,  0.62565, -0.65813,  0.48901,  0.18727,\n",
       "        -0.43565, -0.40836, -0.16248, -0.40713, -1.0305 ,  0.1568 ,\n",
       "         2.7676 ,  0.23894, -0.20019, -0.70256,  0.15978, -0.27176,\n",
       "         1.0221 ,  0.17165, -0.28129, -0.9331 , -0.66427, -0.6982 ,\n",
       "        -0.35326, -1.3419 , -1.1037 ,  0.34923, -0.19831, -0.12043,\n",
       "         0.19514,  0.44811], dtype=float32),\n",
       " 'pakistan': array([ 0.093731, -0.76398 ,  0.33058 ,  0.56553 ,  0.34119 , -0.43292 ,\n",
       "         0.47741 ,  0.2661  ,  1.1704  , -0.54634 , -0.16965 , -0.50994 ,\n",
       "        -0.86457 , -0.67518 , -0.38377 ,  1.1203  ,  0.62431 ,  0.065409,\n",
       "        -0.12632 ,  1.3     ,  0.24576 ,  1.0203  ,  0.9235  ,  0.41756 ,\n",
       "         0.29078 , -2.083   ,  0.4507  , -0.44789 , -0.3796  ,  0.48155 ,\n",
       "         2.8687  ,  0.56244 , -0.087388,  0.57662 ,  0.97655 ,  0.45718 ,\n",
       "        -0.16975 , -0.43693 , -1.5763  ,  0.19571 , -0.52565 ,  0.66193 ,\n",
       "        -0.13605 , -0.52883 ,  0.37579 ,  1.0104  , -0.7011  ,  1.2532  ,\n",
       "        -0.10438 , -1.348   ], dtype=float32),\n",
       " '14': array([-0.36719  ,  0.512    ,  0.69247  ,  0.1317   ,  0.32115  ,\n",
       "         0.50297  , -0.79855  , -0.14209  , -0.64992  , -0.65896  ,\n",
       "        -0.24124  , -0.78992  , -0.5035   , -0.20915  ,  0.96061  ,\n",
       "        -0.6899   , -0.6579   , -0.45798  , -1.6266   ,  0.56532  ,\n",
       "         0.32745  ,  0.13597  ,  1.1307   , -0.0070347, -0.7365   ,\n",
       "        -0.54417  ,  0.89414  , -0.95842  ,  0.068442 , -0.073967 ,\n",
       "         3.1568   ,  0.25592  , -0.36291  ,  0.10227  ,  0.9251   ,\n",
       "        -0.12574  ,  0.67149  ,  0.17306  ,  0.38597  ,  0.078479 ,\n",
       "        -0.50256  , -0.29775  ,  0.8655   , -0.72309  , -0.58335  ,\n",
       "         0.60462  , -0.24653  , -0.52499  ,  0.20253  , -0.10999  ],\n",
       "       dtype=float32),\n",
       " 'post': array([-0.25084  ,  0.29379  ,  0.17915  , -0.31418  , -0.14598  ,\n",
       "        -0.79813  , -0.98887  , -0.13936  ,  0.06614  , -1.105    ,\n",
       "        -0.65604  , -0.26072  , -0.53725  ,  0.1231   ,  0.30833  ,\n",
       "        -0.020635 , -0.69418  , -0.77642  , -0.038226 ,  0.57202  ,\n",
       "         0.37442  ,  0.13187  , -0.14168  ,  0.014391 , -0.14011  ,\n",
       "        -1.7285   , -0.16066  ,  0.10788  , -0.15002  ,  0.77973  ,\n",
       "         2.978    , -0.45587  , -0.14469  , -0.37718  , -0.59619  ,\n",
       "         0.38612  , -0.0039065,  0.35839  ,  0.31881  , -0.28991  ,\n",
       "         0.46167  ,  0.52256  , -0.30722  ,  0.075893 , -0.50202  ,\n",
       "         0.24811  , -0.02015  ,  0.074841 ,  0.20337  ,  0.1406   ],\n",
       "       dtype=float32),\n",
       " 'social': array([ 1.0132e-02,  8.6960e-01, -3.7497e-01, -4.8787e-01,  6.7286e-03,\n",
       "         1.0141e+00,  5.3107e-02, -1.3147e+00, -4.6806e-01, -6.3777e-02,\n",
       "         1.1875e-01, -1.5700e-01, -1.8661e-01,  9.3620e-02, -2.3164e-01,\n",
       "        -4.7303e-01,  2.0110e-01, -1.9909e-01,  1.2990e+00, -5.6078e-02,\n",
       "         2.6792e-03,  2.4686e-01, -6.9481e-01,  2.6389e-01,  5.1338e-01,\n",
       "        -1.0197e+00, -5.1158e-01, -1.0575e+00, -2.9798e-01,  1.1449e+00,\n",
       "         3.6952e+00,  8.3065e-01, -3.1149e-01, -1.6082e+00, -1.4995e+00,\n",
       "         2.4215e-01, -8.9554e-01,  1.0793e-01,  4.7285e-01,  7.4575e-02,\n",
       "        -3.0452e-01, -3.1313e-01,  5.8216e-02,  6.9159e-01, -2.1348e-01,\n",
       "        -1.7698e-01, -2.5885e-01,  1.5551e-01,  8.9262e-01,  1.4503e-01],\n",
       "       dtype=float32),\n",
       " 'continue': array([ 0.457   , -0.29643 ,  0.11848 , -0.43853 , -0.15496 , -0.6777  ,\n",
       "        -0.34291 ,  0.41561 ,  0.11109 , -0.018757,  0.14099 ,  0.26534 ,\n",
       "        -0.51301 , -0.17879 ,  0.29912 ,  0.77999 ,  0.4439  , -0.44153 ,\n",
       "         0.45154 , -0.63716 ,  0.6962  ,  0.017456,  0.36685 , -0.014767,\n",
       "         0.12534 , -1.3434  ,  0.20647 , -0.52526 ,  0.58668 ,  0.16162 ,\n",
       "         3.5635  ,  1.0579  , -0.6899  , -0.60807 , -0.32722 , -0.41448 ,\n",
       "        -0.61505 , -0.1458  , -0.3085  , -0.05229 , -0.81054 , -0.44456 ,\n",
       "         0.23595 , -0.15783 ,  0.39308 , -0.081481, -0.12347 ,  0.38486 ,\n",
       "        -0.47031 ,  0.2242  ], dtype=float32),\n",
       " 'ever': array([-9.1840e-02,  4.5829e-02, -1.4578e-02, -1.5912e-01,  3.6966e-01,\n",
       "        -5.5325e-02, -6.4645e-01,  3.7028e-01,  4.4005e-02,  3.1908e-01,\n",
       "        -2.2221e-03,  5.4468e-02, -5.5971e-01,  3.2805e-01,  1.2631e+00,\n",
       "        -2.4974e-02,  4.1510e-01,  4.1472e-01, -8.0000e-01, -3.6899e-01,\n",
       "        -2.6027e-01, -1.6870e-03,  1.9953e-01,  7.3913e-02,  5.8280e-01,\n",
       "        -2.0068e+00, -1.0067e+00,  3.4075e-02,  4.1367e-01, -7.2996e-02,\n",
       "         2.9454e+00,  2.7576e-01,  1.0770e-01, -4.0572e-01,  1.1923e-03,\n",
       "         6.1022e-02,  6.9987e-02,  5.2403e-01, -7.6733e-01, -9.3638e-01,\n",
       "        -8.1252e-01, -1.1230e-01,  1.0376e-01,  2.9453e-01, -2.7063e-01,\n",
       "        -1.2739e-02, -3.1710e-01, -3.3740e-02, -3.9644e-01, -1.9175e-02],\n",
       "       dtype=float32),\n",
       " 'look': array([ 0.30563 ,  0.17204 , -0.21555 , -0.3951  ,  0.67612 , -0.36456 ,\n",
       "        -0.73101 , -0.5046  , -0.42605 ,  0.059996, -0.47502 ,  0.34054 ,\n",
       "        -0.42368 ,  0.59173 ,  0.53529 ,  0.65185 ,  0.30654 , -0.10973 ,\n",
       "         0.19828 , -1.1948  , -0.51688 ,  0.58365 ,  0.13365 ,  0.13984 ,\n",
       "         0.25233 , -1.4953  , -1.2784  ,  0.96403 ,  0.69722 , -0.86861 ,\n",
       "         3.0337  ,  0.53583 , -0.021989, -0.59342 ,  0.095647,  0.18606 ,\n",
       "        -0.29222 ,  0.41214 , -0.28242 , -1.1504  , -0.33283 ,  0.1475  ,\n",
       "         0.33251 ,  0.36922 ,  0.37794 ,  0.17568 ,  0.3005  , -0.056685,\n",
       "         0.097726,  0.45878 ], dtype=float32),\n",
       " 'chairman': array([-0.094023,  0.16701 , -0.099462,  1.3251  ,  0.41675 , -0.40442 ,\n",
       "        -0.57337 , -0.49371 , -0.39353 , -1.2984  , -0.082545,  1.0734  ,\n",
       "        -1.2907  , -0.12838 , -0.27141 ,  0.54183 ,  0.17992 ,  0.36148 ,\n",
       "         0.4216  , -0.35954 ,  0.40848 , -0.26949 ,  0.09281 , -1.0062  ,\n",
       "        -0.63066 , -1.8084  ,  0.14277 , -0.33719 , -2.4248  ,  0.65409 ,\n",
       "         2.0548  , -0.19463 , -0.42921 ,  0.2127  , -0.68403 , -1.4697  ,\n",
       "        -0.079786,  0.39475 ,  1.1574  ,  0.19419 , -0.55577 ,  0.759   ,\n",
       "        -1.359   , -0.18026 ,  0.076492,  0.34831 , -1.5139  ,  0.14965 ,\n",
       "        -0.26253 ,  1.1509  ], dtype=float32),\n",
       " 'job': array([-0.20343  , -0.045235 ,  0.23346  , -0.59289  ,  0.49678  ,\n",
       "        -0.18233  , -1.113    ,  0.32915  , -0.083461 , -0.46827  ,\n",
       "        -0.2608   ,  0.062637 , -0.69844  , -0.059388 ,  0.96493  ,\n",
       "        -0.27605  ,  0.041796 ,  0.44355  ,  0.39495  , -0.7385   ,\n",
       "         0.20983  ,  0.29984  , -0.52718  , -0.13907  ,  0.20699  ,\n",
       "        -1.6566   , -0.15556  , -0.089032 ,  0.53444  ,  0.34896  ,\n",
       "         3.1243   ,  0.7747   , -0.038041 , -0.63928  ,  0.0061523,\n",
       "         0.51253  , -0.14199  ,  0.76461  ,  0.68417  , -0.84998  ,\n",
       "        -0.56657  ,  0.039032 , -0.40812  ,  0.34442  , -0.27174  ,\n",
       "        -0.54446  ,  0.055983 ,  0.78093  ,  0.0046384,  1.3011   ],\n",
       "       dtype=float32),\n",
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       "         0.18011  , -0.86111  , -0.62626  , -0.22306  , -0.11761  ,\n",
       "        -0.10489  , -0.70882  , -0.73978  , -0.43601  ,  1.3867   ,\n",
       "        -0.31566  , -0.57126  ,  0.26041  , -1.0866   ,  0.43239  ,\n",
       "         0.33922  , -0.28956  ,  0.48738  , -0.18717  , -0.43858  ,\n",
       "        -0.97999  , -0.27242  , -0.60794  , -0.5751   ,  0.44961  ,\n",
       "         2.6486   , -0.10224  , -0.53128  , -0.43978  ,  0.008208 ,\n",
       "        -0.38296  ,  0.47774  ,  0.11362  , -0.36228  , -0.63278  ,\n",
       "        -0.70109  , -0.52835  ,  0.062789 , -0.5879   , -0.78482  ,\n",
       "         0.33375  , -0.46606  , -0.20006  , -0.045189 , -0.0060462],\n",
       "       dtype=float32),\n",
       " 'soldiers': array([ 7.2804e-01, -9.0658e-01,  7.6148e-01, -1.1923e+00,  9.8958e-01,\n",
       "        -6.0667e-01, -5.4329e-02,  8.5521e-01, -5.3650e-01, -1.9294e+00,\n",
       "        -1.2303e-01, -1.2263e+00, -1.9933e-03, -6.0596e-01,  1.4671e-01,\n",
       "        -8.3154e-01, -2.0753e-01,  4.1731e-01, -6.8892e-01, -3.7915e-01,\n",
       "        -5.3101e-01,  1.1372e+00,  5.7965e-01, -2.5881e-01, -4.8883e-01,\n",
       "        -1.5362e+00, -3.7883e-01, -4.8205e-01,  5.0707e-01,  5.0248e-02,\n",
       "         3.0791e+00,  1.9022e-01, -8.0112e-01, -8.5541e-02,  4.2080e-01,\n",
       "         1.4798e+00,  1.8674e-01, -1.1900e+00, -6.8793e-01,  4.7058e-01,\n",
       "        -7.5919e-02,  2.1853e-01,  1.0405e+00, -5.6027e-01,  8.7449e-01,\n",
       "        -1.0226e+00, -8.1857e-01, -1.4132e-01, -7.4057e-01, -9.6798e-01],\n",
       "       dtype=float32),\n",
       " 'able': array([ 0.86454 , -0.39089 ,  0.98069 , -0.43311 ,  0.54404 , -0.31648 ,\n",
       "        -0.32186 ,  0.83206 , -0.053605,  0.10004 ,  0.59165 ,  0.83697 ,\n",
       "        -0.048447, -0.061728,  0.17461 ,  0.95544 ,  0.75472 , -0.20141 ,\n",
       "        -0.064528, -1.048   , -0.03856 , -0.15113 ,  0.21881 ,  0.066275,\n",
       "         0.68469 , -1.5723  , -0.35157 , -0.91343 ,  0.58491 , -0.71144 ,\n",
       "         3.3645  ,  0.86164 , -0.8579  , -0.63053 ,  0.20449 ,  0.099353,\n",
       "         0.085162,  0.33539 , -0.011604, -0.60343 ,  0.050596, -0.21526 ,\n",
       "         0.40256 ,  0.32637 ,  0.069126, -0.04812 ,  0.17884 , -0.13879 ,\n",
       "        -0.22527 ,  0.23315 ], dtype=float32),\n",
       " 'parliament': array([-0.33948 , -0.44058 , -0.051277, -0.86459 ,  0.48685 ,  0.60523 ,\n",
       "         0.561   ,  0.9416  , -1.0236  , -1.0888  , -0.6918  , -1.0358  ,\n",
       "         0.38522 ,  0.7705  , -0.18156 ,  0.41568 ,  0.13682 , -0.73759 ,\n",
       "         0.53189 , -0.30239 ,  1.1481  ,  0.010648,  0.3079  ,  0.26299 ,\n",
       "        -0.20376 , -1.8985  ,  0.47274 , -0.064113, -1.3867  ,  1.3483  ,\n",
       "         2.6565  , -0.15382 , -1.8367  ,  0.0346  , -0.031791, -0.48414 ,\n",
       "         1.1177  , -0.014467, -0.23997 , -0.21766 , -0.27414 ,  0.60622 ,\n",
       "        -0.61984 , -0.46464 , -1.3262  ,  1.3687  , -1.5373  ,  0.17989 ,\n",
       "         0.71449 , -0.94007 ], dtype=float32),\n",
       " 'front': array([ 0.021786,  0.26398 ,  0.64475 , -0.37576 ,  0.44165 , -0.30413 ,\n",
       "        -0.53885 , -0.22087 , -0.43253 , -1.1642  , -0.34724 , -0.98567 ,\n",
       "        -1.0723  ,  0.51097 , -0.60139 , -0.11341 , -0.10118 , -0.06655 ,\n",
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       "        -0.60928  , -0.77235  , -0.92805  ,  1.2585   , -0.038    ],\n",
       "       dtype=float32),\n",
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       "         0.13077 , -0.011801,  1.7659  ,  0.20781 ,  0.26198 , -0.16428 ,\n",
       "        -0.84642 ,  0.020094,  0.070176,  0.39778 ,  0.15278 , -0.20213 ,\n",
       "        -1.6184  , -0.54327 , -0.17856 ,  0.53894 ,  0.49868 , -0.10171 ,\n",
       "         0.66265 , -1.7051  ,  0.057193, -0.32405 , -0.66835 ,  0.26654 ,\n",
       "         2.842   ,  0.26844 , -0.59537 , -0.5004  ,  1.5199  ,  0.039641,\n",
       "         1.6659  ,  0.99758 , -0.5597  , -0.70493 , -0.0309  , -0.28302 ,\n",
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       "         0.58507 , -0.30176 ], dtype=float32),\n",
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       "       dtype=float32),\n",
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       "         0.90756 , -0.69225 , -0.19657 ,  0.98994 , -0.23804 , -0.78558 ,\n",
       "        -0.72922 , -1.4768  ,  0.69714 ,  0.43988 , -0.33873 ,  0.62906 ,\n",
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       "        -1.08    ,  0.047127], dtype=float32),\n",
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       "        -0.86588 , -0.75197 , -0.68291 ,  0.70651 , -1.113   , -0.019668,\n",
       "        -0.6863  , -0.72957 ,  1.3051  ,  0.30482 , -0.3763  , -0.36973 ,\n",
       "        -1.7401  , -0.66598 , -0.88252 , -0.66404 , -0.26985 , -0.71911 ,\n",
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       "        -1.1551  , -0.52067 ,  1.4285  , -0.47748 ,  0.7373  , -0.54732 ,\n",
       "         0.061248,  0.34443 ,  0.29703 ,  0.88214 , -0.2616  ,  0.11852 ,\n",
       "        -0.57064 ,  1.0582  ], dtype=float32),\n",
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       "        -5.5302e-01, -4.8637e-01, -1.6476e+00,  5.9422e-01,  7.5211e-01,\n",
       "         7.4173e-01,  2.6373e-01, -2.9181e-01,  2.1239e-01, -8.6431e-01,\n",
       "         8.7086e-01, -3.4193e-01,  9.9052e-01,  2.6313e-02, -2.5234e-01,\n",
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       "        -1.6079e+00, -1.9695e-01, -9.9719e-01,  2.2330e-03,  4.6416e-02,\n",
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       "        -1.5860e-01, -8.5490e-01,  1.0837e+00,  2.0209e-01, -1.8876e-01,\n",
       "         3.4616e-01, -3.2074e-01,  2.6552e-01,  4.8898e-01,  6.5638e-01,\n",
       "         5.0432e-01,  8.0157e-01,  5.8182e-01, -6.8956e-02,  3.9337e-01],\n",
       "       dtype=float32),\n",
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       "        -0.6872   , -0.21279  ,  0.2631   ,  0.76259  ,  0.5156   ,\n",
       "         0.057379 , -0.75805  ,  0.57521  ,  0.0235   ,  0.056102 ],\n",
       "       dtype=float32),\n",
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       "         3.187    ,  0.24256  , -0.94285  , -1.0391   , -1.4213   ,\n",
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       "       dtype=float32),\n",
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       "        -0.55886 ,  0.81934 ,  1.0556  ,  0.15769 ,  1.2894  ,  0.22504 ,\n",
       "         0.42763 , -0.9203  , -1.5778  , -0.45674 , -0.98914 ,  0.46641 ,\n",
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       "         0.17997 ,  0.11348 , -0.068211,  0.23217 ,  1.1468  , -0.53449 ,\n",
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       "        -0.70545 , -1.5663  ,  0.89277 , -0.56625 , -0.78259 , -0.33351 ,\n",
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       "       dtype=float32),\n",
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       "        -0.97746  , -0.10459  ,  0.63682  ,  0.20313  , -0.35979  ,\n",
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       "       dtype=float32),\n",
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       "        -9.1278e-01, -3.6367e-02,  2.9563e-01,  4.8859e-01,  6.5812e-01,\n",
       "         2.9305e+00,  6.2993e-01, -4.5742e-01, -2.3587e-01, -2.6074e-03,\n",
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       "        -9.3197e-01, -8.4511e-02, -7.3981e-02, -3.5605e-01,  1.3789e-01,\n",
       "        -1.3311e-02,  3.5519e-01, -7.3341e-01, -5.8977e-01,  3.3139e-01],\n",
       "       dtype=float32),\n",
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       "        -0.31938  , -0.7913   , -0.05859  , -0.29982  ,  0.34184  ],\n",
       "       dtype=float32),\n",
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       "        -1.1125  ,  0.061848, -0.98647 , -1.1978  , -2.0101  , -0.81715 ,\n",
       "        -0.088324,  0.2431  , -0.94952 , -0.62524 ,  0.56778 , -0.66119 ,\n",
       "         0.23107 , -0.732   , -0.75439 , -0.54928 ,  0.3512  , -0.44388 ,\n",
       "        -0.28215 , -2.4233  , -0.15651 , -0.31636 , -0.45465 ,  0.63483 ,\n",
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       "        -1.0004  ,  0.28567 , -0.45446 , -0.9771  , -0.70622 ,  0.85814 ,\n",
       "        -1.5202  ,  0.23351 , -0.38033 ,  0.2903  , -1.2494  , -0.17779 ,\n",
       "        -0.31254 ,  1.2733  ], dtype=float32),\n",
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       "         0.13317 , -0.025112,  0.19626 , -0.055486,  0.45557 , -0.30135 ,\n",
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       "        -0.3157  , -1.6753  , -0.12545 , -0.75193 ,  0.90285 ,  0.022854,\n",
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       "        -0.40112 , -1.7654  ,  0.082136,  0.25844 , -0.6726  ,  0.16396 ,\n",
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       "         0.79434  , -0.32733  , -0.35677  , -0.80534  ,  1.0604   ],\n",
       "       dtype=float32),\n",
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       "        -1.5299e+00, -4.8100e-01,  1.2324e-01,  1.6703e-01, -1.6081e-01,\n",
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       "       dtype=float32),\n",
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       "        -1.0722e+00,  6.0233e-01, -4.6556e-01,  2.9903e-01, -1.2120e+00,\n",
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       "       dtype=float32),\n",
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       "        -0.77403 , -0.99204 ,  0.34874 ,  0.52803 , -0.3745  ,  0.65354 ,\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "         0.42342  , -0.25317  , -1.1688   , -0.59791  ,  1.2495   ],\n",
       "       dtype=float32),\n",
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       "         0.20215 ,  0.14081 ,  0.23591 , -1.0801  , -0.25815 , -0.31658 ,\n",
       "        -0.32057 , -0.5692  ,  0.17766 , -0.94938 , -0.30929 ,  0.087269,\n",
       "         0.20442 ,  0.06726 ,  0.16983 ,  0.62246 , -1.0437  , -0.64164 ,\n",
       "        -0.5401  , -1.92    , -0.041264, -1.2533  , -0.048338,  1.3141  ,\n",
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       "        -0.69948 , -0.35698 ], dtype=float32),\n",
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       "         1.3450e+00, -4.3305e-01,  5.8059e-01,  3.5556e-01, -2.5184e-01,\n",
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       "        -2.6739e+00, -7.6805e-01,  3.3929e-01,  1.9695e-01, -3.5245e-01,\n",
       "         2.2920e+00, -2.7411e-01, -3.0169e-01,  8.5286e-04,  1.6923e-01,\n",
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       "        -2.5174e-01,  4.2123e-01,  4.8616e-01,  2.2325e-02,  5.5760e-01,\n",
       "        -8.5223e-01, -2.3073e-01, -1.3138e+00,  4.8764e-01, -1.0467e-01],\n",
       "       dtype=float32),\n",
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       "        -0.75129 ,  0.043137,  0.90212 , -0.89599 ,  0.83162 , -0.14144 ,\n",
       "        -0.62685 ,  0.10737 , -0.51564 , -0.46926 , -0.29377 ,  1.095   ,\n",
       "        -0.87931 ,  0.26115 , -0.22163 ,  0.85669 , -0.31739 , -0.085317,\n",
       "        -0.47354 , -1.4365  ,  0.33958 , -1.1928  , -0.03295 ,  0.25255 ,\n",
       "         3.4108  ,  0.76843 , -0.89609 , -0.83801 ,  0.95367 ,  1.2251  ,\n",
       "         0.22891 ,  0.81176 , -0.20702 ,  0.2704  , -0.19163 , -0.61075 ,\n",
       "         0.22504 ,  0.48398 ,  0.52379 , -0.76005 ,  0.78917 ,  0.61137 ,\n",
       "        -0.84949 ,  0.9954  ], dtype=float32),\n",
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       "        -1.3722e+00, -5.7610e-01,  5.8510e-01, -9.1629e-02,  2.2919e-02,\n",
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       "         9.6683e-02,  4.3145e-01, -1.0750e-01, -1.0308e+00, -7.4859e-01,\n",
       "        -1.9371e-01,  3.0385e-01, -6.2701e-01, -7.1865e-01,  1.9049e-01,\n",
       "        -5.9458e-02, -3.5774e-01, -4.2142e-01, -7.5327e-02,  2.4345e-02],\n",
       "       dtype=float32),\n",
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       "        -0.0085302, -0.51184  ,  0.64137  , -1.1205   , -0.67822  ,\n",
       "         0.72058  ,  0.13467  , -0.79347  ,  0.45135  ,  0.61268  ],\n",
       "       dtype=float32),\n",
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       "        -0.82454 , -0.039595,  0.4596  , -0.58104 ,  0.27975 ,  0.42006 ,\n",
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       "        -0.27451 , -0.13589 , -0.28074 ,  0.57252 , -0.49239 , -0.12945 ,\n",
       "         0.32308 ,  0.35871 ,  0.49173 , -0.73118 , -0.55319 ,  0.47959 ,\n",
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       "       dtype=float32),\n",
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       "        -0.088553 ,  0.28121  , -0.25679  , -0.79877  ,  0.015683 ,\n",
       "        -0.26416  ,  0.027146 , -0.04001  ,  0.28502  ,  0.35224  ,\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "        -1.7269e-01, -4.9886e-01, -3.6944e-01, -2.4950e-01,  1.0764e+00,\n",
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       "        -1.2632e+00,  3.0173e-02,  3.4388e-02, -3.2265e-01,  1.2144e-01,\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "         2.5954e-01,  4.9982e-01,  3.0296e-01, -2.7552e-01, -5.1533e-01,\n",
       "        -1.1427e+00,  1.0088e-01, -5.9458e-01, -7.8148e-01,  3.9514e-01,\n",
       "         2.8560e+00,  3.4101e-01,  1.2617e-01, -9.4159e-01, -5.3449e-02,\n",
       "         9.3241e-01,  3.3466e-01,  6.0386e-02,  5.1470e-01,  3.8846e-01,\n",
       "         1.4532e-01,  6.7732e-01,  1.9749e-04, -1.0837e-01,  3.4877e-01,\n",
       "        -5.7684e-01, -7.4497e-01,  7.2435e-01, -9.0866e-01,  1.5056e+00],\n",
       "       dtype=float32),\n",
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       "        -3.5958e-02, -1.0326e+00,  2.4267e-01, -4.3836e-01, -1.8387e-01,\n",
       "         5.2967e-02, -3.0143e-01, -1.0807e+00, -2.6395e-01,  5.0318e-01,\n",
       "        -7.2131e-02, -1.2275e-01, -2.7640e-01, -1.0728e+00, -3.6251e-01,\n",
       "         1.5066e-01,  2.9406e-01,  3.6011e-02, -3.7669e-01,  2.3315e-01,\n",
       "        -1.3393e+00, -5.9214e-01,  1.2873e-01,  3.1664e-01,  1.3666e-01,\n",
       "         2.7740e+00,  3.5739e-01,  3.4827e-01, -3.0413e-01, -7.1559e-02,\n",
       "         8.5105e-03,  5.7710e-02,  3.8432e-02,  2.0367e-03, -3.3650e-01,\n",
       "        -3.7277e-01,  5.3761e-02, -3.4950e-01, -3.7849e-01,  2.0494e-01,\n",
       "        -1.5411e-01, -1.7209e-01, -5.9163e-01,  2.7798e-01, -4.7038e-01],\n",
       "       dtype=float32),\n",
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       "         0.31964  , -0.0094923,  0.12259  , -0.011234 , -0.2113   ,\n",
       "        -0.11769  ,  0.085932 , -0.54004  ,  0.27666  , -0.074244 ,\n",
       "         0.11298  , -0.31362  , -0.30666  ,  0.13833  , -0.99789  ,\n",
       "        -0.10509  ,  0.56499  ,  0.30105  , -0.60911  ,  0.21528  ,\n",
       "        -1.9955   , -0.23075  ,  0.36169  ,  0.36569  , -0.83593  ,\n",
       "         3.1593   ,  0.38484  , -0.58786  ,  0.30266  , -0.080106 ,\n",
       "         0.7723   ,  0.14527  ,  0.54844  ,  0.13905  , -0.15815  ,\n",
       "         0.37559  ,  0.64325  , -0.35815  ,  0.2687   ,  0.37035  ,\n",
       "        -0.12839  ,  0.14046  , -0.37389  , -0.24085  , -0.80756  ],\n",
       "       dtype=float32),\n",
       " 'hope': array([ 0.3336  ,  0.74512 ,  0.083166, -0.22648 ,  0.52874 , -0.33704 ,\n",
       "        -0.54175 ,  0.81136 ,  0.024572,  0.37463 , -0.057001,  0.21685 ,\n",
       "        -0.3829  , -0.21458 ,  0.33302 ,  0.64719 ,  0.76588 , -0.48044 ,\n",
       "         0.33993 , -0.41397 , -0.05071 ,  0.50477 , -0.11382 , -0.48148 ,\n",
       "         0.97721 , -1.5711  , -0.40916 , -0.31893 ,  0.34678 , -0.42318 ,\n",
       "         2.8829  ,  1.1383  , -0.86361 , -0.57353 , -0.26611 , -0.5939  ,\n",
       "        -0.25876 , -0.081662,  0.093148, -0.95213 , -0.52034 , -0.49373 ,\n",
       "        -0.12275 , -0.39961 ,  0.40267 ,  0.56377 , -0.17417 ,  0.066513,\n",
       "        -0.2793  , -0.06462 ], dtype=float32),\n",
       " 'operations': array([ 1.1591  , -1.1999  ,  0.072653,  0.58819 , -0.29679 , -0.51001 ,\n",
       "        -0.49371 ,  0.017692,  1.0616  , -1.0094  ,  0.52709 ,  0.2727  ,\n",
       "        -0.84104 ,  0.093769, -0.7347  , -0.15335 , -0.098236,  0.4887  ,\n",
       "        -0.64312 ,  0.22995 ,  1.0776  , -0.26086 , -0.24341 , -0.62283 ,\n",
       "        -1.2898  , -1.1614  , -0.060444, -0.5854  ,  0.83077 ,  0.38283 ,\n",
       "         3.4401  , -0.045679, -0.28183 , -0.34913 ,  0.10207 ,  0.426   ,\n",
       "        -0.40933 , -0.19524 , -0.054891,  0.66443 , -0.49009 , -0.23305 ,\n",
       "         0.44956 , -0.70954 , -0.093103, -0.57026 , -0.17424 ,  0.5907  ,\n",
       "        -0.54211 ,  0.99565 ], dtype=float32),\n",
       " 'pressure': array([ 0.13428 , -0.19467 ,  0.6911  , -0.70312 , -0.64619 ,  0.023071,\n",
       "         0.91223 ,  0.77018 , -0.24918 ,  0.37115 ,  0.4929  ,  0.11521 ,\n",
       "        -0.64481 , -0.19846 , -0.28185 ,  1.0775  ,  0.46926 , -0.57302 ,\n",
       "        -0.08563 , -1.0187  , -0.068865, -0.20332 ,  0.23522 , -0.54866 ,\n",
       "         0.04312 , -1.9429  ,  0.76151 ,  0.26845 ,  0.32841 ,  0.98877 ,\n",
       "         3.4805  ,  0.70824 , -0.078932, -0.32916 , -0.34196 , -0.19477 ,\n",
       "        -0.029654, -0.16514 ,  0.27957 , -0.39597 , -0.054808,  0.54189 ,\n",
       "        -0.077908,  0.23774 ,  0.49456 ,  0.026981,  0.15147 ,  0.4258  ,\n",
       "        -0.27233 , -0.35741 ], dtype=float32),\n",
       " 'americans': array([-0.052028, -0.048981,  0.71943 , -0.74179 ,  0.73577 ,  0.29213 ,\n",
       "        -0.805   ,  0.343   , -0.13725 , -0.16459 , -0.26002 , -0.73099 ,\n",
       "         0.4156  , -0.22192 ,  0.78225 , -0.11299 ,  0.32121 , -0.69544 ,\n",
       "        -0.14575 , -0.32209 , -0.59605 ,  0.66669 ,  0.49236 ,  0.055352,\n",
       "         0.32349 , -1.858   , -0.54927 , -0.92947 ,  0.78838 , -0.14735 ,\n",
       "         2.5682  ,  0.91502 , -0.16747 , -0.61428 , -0.038971, -0.6332  ,\n",
       "        -0.62844 ,  0.074245, -0.45796 , -0.19034 , -0.59307 , -0.015804,\n",
       "         1.551   ,  0.30203 ,  0.64916 ,  0.30262 , -0.91286 ,  0.1906  ,\n",
       "        -0.73957 ,  0.20963 ], dtype=float32),\n",
       " 'eastern': array([ 4.0081e-01,  1.9372e-01, -5.1866e-01,  5.0277e-01, -1.2414e-01,\n",
       "        -5.8123e-01, -4.6133e-01,  4.3202e-01, -2.9980e-01, -1.3866e+00,\n",
       "         1.1470e-01, -1.2037e+00,  6.4928e-01, -5.3586e-01, -7.4392e-01,\n",
       "         3.6831e-01,  2.1331e-02,  1.1855e-01, -9.7933e-01,  1.0688e+00,\n",
       "        -4.3277e-01, -5.3117e-01, -2.6156e-02,  1.0120e+00, -2.9177e-01,\n",
       "        -1.5475e+00,  2.8917e-03,  1.9979e-01,  1.0492e-01, -2.1727e-01,\n",
       "         3.3505e+00, -2.0198e-01,  3.1048e-01, -1.2792e-01,  9.2175e-02,\n",
       "        -3.5877e-02, -1.1698e+00, -4.6157e-01, -9.7599e-02,  8.4595e-01,\n",
       "        -5.6137e-01,  4.5418e-01,  8.9953e-01, -8.6914e-01, -2.3323e-01,\n",
       "         1.0018e+00,  4.3075e-02, -1.1074e-01, -5.0305e-01, -9.3309e-01],\n",
       "       dtype=float32),\n",
       " 'st.': array([ 0.49935 ,  2.1916  , -0.59194 , -0.93191 ,  0.2523  , -0.42022 ,\n",
       "        -1.6385  ,  0.42982 , -0.037765, -0.57121 , -0.51924 ,  0.38541 ,\n",
       "        -0.20211 , -0.70337 , -0.3214  , -0.6543  , -0.34513 , -1.0044  ,\n",
       "        -1.2269  ,  0.24269 , -0.47131 , -0.29079 , -1.0728  ,  0.25877 ,\n",
       "        -0.68587 , -1.1227  , -0.22091 , -0.32296 , -0.42207 , -0.57735 ,\n",
       "         1.9722  ,  0.68776 ,  0.63394 , -0.47094 ,  0.13187 , -0.55112 ,\n",
       "         0.86831 ,  0.15896 ,  1.3616  ,  0.87898 ,  0.034397,  0.23923 ,\n",
       "        -0.073789, -0.13438 , -0.33963 ,  1.8952  , -0.8005  , -1.2115  ,\n",
       "        -0.036909,  0.2909  ], dtype=float32),\n",
       " 'legal': array([ 5.5052e-02, -1.5925e-01, -7.8732e-01,  5.2204e-01,  2.8074e-03,\n",
       "         7.2934e-01,  3.1705e-01,  9.8054e-02,  4.4929e-01, -2.2248e-01,\n",
       "        -5.1368e-01,  3.4624e-01, -3.3452e-01,  3.1494e-02,  6.6222e-01,\n",
       "        -2.2317e-01,  1.5597e-01, -7.7830e-01,  8.5770e-01, -4.7812e-01,\n",
       "         6.0616e-01,  3.9358e-01, -5.3814e-01, -2.5017e-01, -3.7380e-01,\n",
       "        -2.1049e+00,  9.9313e-03, -8.1307e-01, -1.8440e-01,  6.2440e-01,\n",
       "         3.0844e+00, -7.8769e-01, -7.1365e-01, -9.7935e-01, -2.9107e-01,\n",
       "        -1.1758e-01, -3.8149e-01, -1.1085e-01, -1.7961e-01, -2.7413e-01,\n",
       "        -1.2165e-01,  1.2579e-01,  7.5373e-01,  1.6778e+00, -7.4141e-01,\n",
       "        -4.3422e-01, -2.5718e-01,  7.7545e-01, -1.7929e-01,  5.2023e-02],\n",
       "       dtype=float32),\n",
       " 'asia': array([ 0.56332 ,  0.35876 , -0.1462  ,  0.95261 ,  0.23723 , -1.0129  ,\n",
       "        -0.18751 , -0.93129 ,  0.79396 , -0.46396 ,  0.44569 ,  0.25951 ,\n",
       "        -0.33915 ,  0.24487 ,  0.35799 ,  0.73199 ,  0.039261, -0.14582 ,\n",
       "        -0.65241 ,  0.71711 ,  0.66202 , -0.38121 ,  0.19965 ,  0.18683 ,\n",
       "         0.3275  , -1.0706  , -0.059901, -0.36176 , -0.58647 ,  0.76479 ,\n",
       "         3.1661  ,  0.97168 ,  1.314   ,  0.045797, -0.77305 , -0.90208 ,\n",
       "        -1.419   , -0.080731, -0.90452 , -0.13238 , -1.1106  , -0.091449,\n",
       "         1.2981  , -0.80059 ,  0.60322 ,  0.74009 , -0.073624, -0.047436,\n",
       "        -0.086802, -0.086178], dtype=float32),\n",
       " 'budget': array([ 0.24548 , -0.15727 ,  0.6431  , -0.72644 , -0.43133 ,  0.23715 ,\n",
       "        -0.066602, -1.5827  , -0.10479 , -0.89874 , -1.615   , -0.088924,\n",
       "        -0.25504 ,  0.58179 ,  1.2285  ,  0.13136 ,  0.1328  , -0.15199 ,\n",
       "         0.57638 , -0.21626 ,  0.85548 , -0.91286 , -0.26591 , -0.88672 ,\n",
       "        -0.27008 , -1.2213  , -0.16086 ,  0.51799 , -0.25913 ,  0.87934 ,\n",
       "         3.2558  ,  0.82003 , -0.30008 ,  0.23471 , -0.68515 ,  0.2284  ,\n",
       "        -0.03354 ,  0.1032  ,  0.1103  , -1.2148  , -1.0324  ,  0.62084 ,\n",
       "         0.18191 , -0.36135 , -1.429   ,  0.53927 ,  0.10425 ,  1.44    ,\n",
       "         0.22877 ,  1.1371  ], dtype=float32),\n",
       " 'returned': array([ 0.044953, -0.10592 , -0.11535 , -0.55873 ,  0.076382, -0.37154 ,\n",
       "        -1.5456  ,  0.95689 , -0.4444  , -0.67322 ,  0.61974 ,  0.14746 ,\n",
       "        -0.47678 , -0.4879  ,  0.61221 ,  0.10096 , -0.59083 , -0.073639,\n",
       "        -0.97609 ,  0.63767 ,  0.40595 ,  0.58462 ,  0.42056 , -0.3137  ,\n",
       "        -0.025751, -1.5156  ,  0.51198 , -0.30353 ,  0.039895,  0.061779,\n",
       "         2.2566  ,  0.18928 , -0.36571 , -0.39999 ,  0.43176 ,  0.29071 ,\n",
       "         0.24686 ,  0.47437 ,  0.022621, -0.20488 , -0.34619 , -0.09285 ,\n",
       "        -0.15816 , -0.59382 , -0.58186 , -0.21265 , -0.48741 , -0.86733 ,\n",
       "        -0.4587  , -0.45075 ], dtype=float32),\n",
       " 'considered': array([ 0.32909  ,  0.071995 , -0.57187  , -0.1224   ,  0.46356  ,\n",
       "         0.45265  , -0.30074  , -0.1512   , -0.36991  ,  0.46107  ,\n",
       "         0.24506  ,  0.2167   ,  0.1631   ,  0.063165 ,  0.36755  ,\n",
       "         0.10621  ,  0.60325  ,  0.057034 , -0.16829  ,  0.043769 ,\n",
       "        -0.71183  , -0.49154  ,  0.066395 ,  0.27876  , -0.064277 ,\n",
       "        -1.6822   , -0.87403  , -0.18778  ,  0.21502  ,  0.42123  ,\n",
       "         2.9056   , -0.84536  ,  0.0076062, -0.90777  ,  0.44355  ,\n",
       "        -0.10886  ,  0.30583  ,  0.48531  , -1.0059   , -0.16718  ,\n",
       "        -0.53804  , -0.097915 ,  0.21041  ,  0.695    , -0.15939  ,\n",
       "         0.025209 , -1.0118   ,  0.23993  ,  0.40472  ,  0.25871  ],\n",
       "       dtype=float32),\n",
       " 'love': array([-0.13886  ,  1.1401   , -0.85212  , -0.29212  ,  0.75534  ,\n",
       "         0.82762  , -0.3181   ,  0.0072204, -0.34762  ,  1.0731   ,\n",
       "        -0.24665  ,  0.97765  , -0.55835  , -0.090318 ,  0.83182  ,\n",
       "        -0.33317  ,  0.22648  ,  0.30913  ,  0.026929 , -0.086739 ,\n",
       "        -0.14703  ,  1.3543   ,  0.53695  ,  0.43735  ,  1.2749   ,\n",
       "        -1.4382   , -1.2815   , -0.15196  ,  1.0506   , -0.93644  ,\n",
       "         2.7561   ,  0.58967  , -0.29473  ,  0.27574  , -0.32928  ,\n",
       "        -0.201    , -0.28547  , -0.45987  , -0.14603  , -0.69372  ,\n",
       "         0.070761 , -0.19326  , -0.1855   , -0.16095  ,  0.24268  ,\n",
       "         0.20784  ,  0.030924 , -1.3711   , -0.28606  ,  0.2898   ],\n",
       "       dtype=float32),\n",
       " 'wrote': array([-0.14322 ,  0.41784 , -0.71109 , -0.80144 ,  0.23254 ,  0.42403 ,\n",
       "        -0.96247 , -0.22097 , -0.56172 ,  0.05123 , -0.67761 ,  1.054   ,\n",
       "        -0.56178 , -0.29984 ,  0.96896 , -0.9047  , -0.16683 , -0.68983 ,\n",
       "         0.12317 ,  0.16835 ,  0.4932  ,  0.72957 ,  0.76032 , -0.133   ,\n",
       "         1.0246  , -1.631   , -1.1863  , -0.30344 , -0.86531 , -0.10931 ,\n",
       "         2.1305  , -1.5092  ,  0.26075 , -0.60289 , -0.63296 , -0.5171  ,\n",
       "         0.21709 ,  0.12828 ,  0.079098,  0.34594 ,  0.62657 ,  0.66368 ,\n",
       "        -0.27535 , -0.3239  , -0.16632 ,  0.16957 , -0.4843  ,  0.17137 ,\n",
       "        -0.40636 ,  0.86324 ], dtype=float32),\n",
       " 'stop': array([ 3.1973e-01, -5.3511e-01,  1.6837e-01, -5.1493e-01, -5.4168e-01,\n",
       "        -5.2323e-02, -3.4670e-01,  4.1141e-01,  4.8828e-01,  1.9277e-01,\n",
       "        -4.3457e-01, -5.4993e-02, -7.0818e-01, -2.1076e-01,  3.0517e-01,\n",
       "         6.3560e-02,  3.5297e-01, -1.2412e-01, -1.2177e-01, -4.1381e-01,\n",
       "         7.4801e-01,  2.1710e-01,  7.7925e-03,  5.0231e-01,  2.4590e-01,\n",
       "        -2.2516e+00,  5.8344e-01,  1.2077e-01,  1.2825e+00, -1.0129e+00,\n",
       "         2.9238e+00,  7.5870e-01, -1.0051e+00, -1.7133e-01, -6.1737e-01,\n",
       "        -1.5465e-02,  3.0681e-01, -7.0980e-01, -3.9136e-01,  5.3807e-01,\n",
       "        -1.5420e-01,  8.3077e-02, -2.0523e-03, -1.1419e-01,  6.6978e-01,\n",
       "        -2.2367e-01, -1.6531e-01, -2.1139e-02,  6.1458e-02, -1.0773e-01],\n",
       "       dtype=float32),\n",
       " 'fight': array([ 0.18081 , -0.88943 , -0.056444,  0.27761 , -0.034368,  0.021453,\n",
       "         0.65907 ,  0.46379 ,  0.39876 , -0.068031, -0.34704 , -0.15171 ,\n",
       "        -1.0866  , -0.20378 ,  0.52666 , -0.26863 ,  0.65746 , -0.14551 ,\n",
       "        -0.52916 , -0.15447 , -0.58662 , -0.013325,  0.27604 , -0.19283 ,\n",
       "        -0.35384 , -2.1461  ,  0.18328 , -0.90695 ,  0.72437 ,  0.23069 ,\n",
       "         2.7465  ,  0.86624 , -1.2765  , -0.38499 , -0.9856  ,  0.13895 ,\n",
       "        -0.49444 , -0.29634 , -0.47713 , -0.91626 , -0.64034 ,  0.1089  ,\n",
       "        -0.23269 ,  0.036234,  0.73764 ,  0.12653 , -0.18742 , -0.92146 ,\n",
       "        -0.54002 ,  0.38856 ], dtype=float32),\n",
       " 'currently': array([ 1.4187e-01,  3.4101e-01,  2.2135e-01,  1.3366e-01, -3.5214e-02,\n",
       "         7.3338e-02, -7.7262e-01, -3.1715e-01,  2.0828e-01, -2.8528e-01,\n",
       "         8.2118e-01, -3.4021e-01,  8.3620e-02,  6.1514e-02,  4.2880e-01,\n",
       "        -1.3073e-01,  2.8256e-01,  9.5683e-01, -3.3060e-01,  3.3335e-01,\n",
       "         1.2265e-01, -2.1380e-01,  1.6826e-01,  8.6083e-01, -8.7506e-01,\n",
       "        -1.0370e+00,  7.0765e-01, -3.4825e-01, -9.6069e-01,  3.1853e-01,\n",
       "         3.2073e+00, -3.8164e-02,  2.1797e-01, -4.8963e-01,  3.5032e-01,\n",
       "         2.1919e-01, -1.4763e-03,  5.6482e-01, -1.1552e-01, -4.6049e-01,\n",
       "        -1.7834e-02, -4.3249e-02,  5.5940e-01, -1.9607e-01, -7.4389e-01,\n",
       "         1.6401e-01, -5.2665e-01,  2.4601e-01, -4.4494e-01,  1.7612e-01],\n",
       "       dtype=float32),\n",
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       "        -0.75045  , -0.7542   , -0.25889  , -0.11054  , -0.31012  ,\n",
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       "       dtype=float32),\n",
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       "        -0.317   ,  0.6004  , -0.22653 ,  0.32777 , -0.41231 ,  0.65231 ,\n",
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       "         0.033313, -1.7332  ,  0.10601 , -0.80652 ,  0.68499 , -0.92128 ,\n",
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       "        -0.30889 ,  0.0165  ,  0.14772 , -0.69315 , -0.1241  ,  0.36137 ,\n",
       "         0.47371 , -0.02768 ,  0.67094 ,  0.52057 ,  0.52428 , -0.072414,\n",
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       "        -0.19851 , -1.3706  ,  0.75896 , -0.54436 , -0.11185 ,  0.11864 ,\n",
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       "        -6.1555e-01, -2.1001e-01, -5.9139e-02, -1.7165e-01, -4.9515e-01,\n",
       "        -9.5442e-01, -5.7742e-01, -1.9859e-01, -3.0071e-01, -3.5216e-01,\n",
       "         2.1718e-02,  1.9029e-01, -1.8661e-01, -2.5498e-01, -5.4425e-01],\n",
       "       dtype=float32),\n",
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       "        -0.82424 , -0.55687 , -0.50727 ,  0.41442 ,  0.3048  ,  0.88078 ,\n",
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       "        -0.78037 , -0.9669  ,  0.069812, -0.42621 , -0.69182 ,  0.44468 ,\n",
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       "        -0.43166 , -0.10357 ,  1.3371  , -0.27792 , -0.1171  , -0.70383 ,\n",
       "        -0.036001,  0.81326 , -0.34494 , -0.38249 , -0.080565,  1.1267  ,\n",
       "         0.28641 ,  1.165   ], dtype=float32),\n",
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       "         0.17259  , -0.48478  , -0.41429  , -0.33108  , -0.64237  ],\n",
       "       dtype=float32),\n",
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       "         0.17967 , -0.72795 ,  1.5319  , -0.518   , -0.89722 , -0.47947 ,\n",
       "        -0.099917, -0.53544 , -0.25357 , -0.14473 ,  0.8177  ,  0.21028 ,\n",
       "        -0.53528 , -1.7229  , -0.23533 , -0.42676 , -0.22517 , -0.033998,\n",
       "         3.0681  , -0.38766 ,  0.43658 , -1.0692  ,  0.32944 , -0.16995 ,\n",
       "         0.54683 , -0.18123 ,  0.18144 ,  0.15913 , -0.87828 ,  0.28833 ,\n",
       "         1.4865  ,  1.4837  ,  0.3142  ,  0.20116 , -0.45547 ,  0.32681 ,\n",
       "         0.031446, -0.2658  ], dtype=float32),\n",
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       "       dtype=float32),\n",
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       "        -1.8877e+00,  2.1920e-01, -7.3201e-01, -6.1798e-03,  1.6592e-03,\n",
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       "       dtype=float32),\n",
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       "        -0.31572 , -0.38106 , -0.69214 ,  0.084005,  0.7193  ,  0.048203,\n",
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       "        -0.18159 ,  0.58189 ], dtype=float32),\n",
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       "        -0.11445 , -0.086225,  0.12744 , -0.78824 ,  0.24082 ,  0.39307 ,\n",
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       "        -0.4466  , -0.35404 ,  1.4219  ,  1.2561  ,  0.033159,  0.32058 ,\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "       dtype=float32),\n",
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       "         0.35594 , -0.83259 , -0.51416 ,  0.282   ,  0.36725 ,  0.74079 ,\n",
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       "         0.14178 ,  1.0011  ], dtype=float32),\n",
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       "        -7.1566e-01, -7.6888e-01, -8.0441e-02,  4.9022e-04, -5.2532e-01,\n",
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       "        -7.5214e-01, -1.2924e+00,  2.6360e-01,  2.8462e-01,  2.6416e-02,\n",
       "        -1.0242e+00,  5.7252e-01,  1.4757e+00, -1.2457e+00, -6.2902e-01,\n",
       "         4.0549e-01, -4.1026e-01, -6.0271e-01,  1.3786e-01, -7.9502e-02],\n",
       "       dtype=float32),\n",
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       "        -1.1145  , -0.75626 ,  1.0979  ,  0.27265 ,  0.84963 ,  0.50575 ,\n",
       "         3.2485  , -0.45875 ,  1.4922  ,  0.41695 ,  0.01271 , -1.2852  ,\n",
       "        -0.98056 , -0.3471  ,  0.062647, -0.13799 , -0.40318 , -0.34467 ,\n",
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       "         0.18844 , -0.059442], dtype=float32),\n",
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       "         0.15285 , -0.51493 , -0.3438  , -0.066927,  0.040159,  0.31402 ,\n",
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       "        -0.74222 ,  0.40108 , -0.54997 ,  0.10882 , -0.67003 ,  0.42528 ,\n",
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       "         0.12836 , -0.17395 ], dtype=float32),\n",
       " 'scored': array([-0.9809  ,  0.14756 ,  0.45416 , -0.050933,  1.0333  ,  0.3626  ,\n",
       "        -1.3033  ,  0.2163  , -0.6215  ,  0.7366  ,  0.25323 , -0.063461,\n",
       "        -1.703   ,  0.12796 , -0.15742 , -1.4929  ,  0.96741 , -1.7168  ,\n",
       "        -2.0306  ,  0.25597 , -1.2535  ,  0.26892 ,  0.50698 , -0.6334  ,\n",
       "         0.061801, -0.2198  ,  1.4293  , -0.46177 , -0.59694 , -1.5778  ,\n",
       "         2.0836  ,  1.3307  ,  0.57157 , -0.014229,  0.69573 ,  0.29425 ,\n",
       "         0.5614  ,  1.2923  ,  0.40284 ,  0.24436 ,  0.11895 ,  0.78483 ,\n",
       "        -0.32882 , -1.1402  , -0.94519 ,  0.69862 ,  0.15472 ,  0.018592,\n",
       "         0.17319 , -0.30453 ], dtype=float32),\n",
       " 'championship': array([-1.6398  ,  0.67066 , -0.52054 ,  1.8938  , -0.62694 , -0.24374 ,\n",
       "        -0.6693  ,  0.72426 , -0.57842 , -0.73022 ,  0.47189 , -0.55049 ,\n",
       "        -2.1217  , -0.20928 ,  0.97964 , -0.10349 ,  0.67957 ,  0.54492 ,\n",
       "        -2.1914  , -0.59415 , -0.61477 , -0.58172 ,  0.28259 ,  0.53686 ,\n",
       "        -0.77456 , -1.0507  , -0.6455  , -0.5435  , -0.65596 , -0.4155  ,\n",
       "         2.1558  ,  0.9926  , -0.72329 ,  0.062054,  0.75527 , -0.17231 ,\n",
       "         0.15207 ,  0.78698 , -0.52967 , -1.6436  , -0.70235 , -1.3254  ,\n",
       "        -0.26715 , -0.064496, -0.5358  ,  0.5662  ,  0.34684 , -0.42908 ,\n",
       "         0.075721, -0.59188 ], dtype=float32),\n",
       " 'example': array([ 0.51564  ,  0.56912  , -0.19759  ,  0.0080456,  0.41697  ,\n",
       "         0.59502  , -0.053312 , -0.83222  , -0.21715  ,  0.31045  ,\n",
       "         0.09352  ,  0.35323  ,  0.28151  , -0.35308  ,  0.23496  ,\n",
       "         0.04429  ,  0.017109 ,  0.0063749, -0.01662  , -0.69576  ,\n",
       "         0.019819 , -0.52746  , -0.14011  ,  0.21962  ,  0.13692  ,\n",
       "        -1.2683   , -0.89416  , -0.1831   ,  0.23343  , -0.058254 ,\n",
       "         3.2481   , -0.48794  , -0.01207  , -0.81645  ,  0.21182  ,\n",
       "        -0.17837  , -0.02874  ,  0.099358 , -0.14944  ,  0.2601   ,\n",
       "         0.18919  ,  0.15022  ,  0.18278  ,  0.50052  , -0.025532 ,\n",
       "         0.24671  ,  0.10596  ,  0.13612  ,  0.0090427,  0.39962  ],\n",
       "       dtype=float32),\n",
       " 'getting': array([ 0.029473, -0.51849 ,  0.49539 , -0.78236 ,  0.1357  ,  0.05203 ,\n",
       "        -0.94443 ,  0.44511 ,  0.16437 ,  0.37538 , -0.14822 ,  0.11788 ,\n",
       "        -0.47462 ,  0.21771 ,  0.80236 ,  0.16249 ,  0.17177 ,  0.045004,\n",
       "         0.12619 , -0.77363 , -0.28247 ,  0.61568 ,  0.59214 ,  0.21296 ,\n",
       "         0.54569 , -1.7547  ,  0.089933,  0.51736 ,  0.96993 , -0.7499  ,\n",
       "         3.1764  ,  1.1724  ,  0.16017 , -0.20019 ,  0.01035 ,  0.14087 ,\n",
       "        -0.12236 ,  0.77847 ,  0.32998 , -0.75624 , -0.45796 ,  0.27717 ,\n",
       "         0.021626,  0.66261 , -0.19005 , -0.2777  , -0.069023,  0.048738,\n",
       "        -0.19463 ,  0.53113 ], dtype=float32),\n",
       " 'biggest': array([ 0.17594 ,  0.081479,  0.48488 ,  1.1503  ,  0.35793 ,  0.080689,\n",
       "        -0.56166 ,  0.17774 ,  0.75747 ,  0.88359 , -0.044245, -0.55799 ,\n",
       "        -0.5788  ,  0.21199 ,  0.69339 , -0.30155 ,  0.56489 ,  0.37872 ,\n",
       "        -0.70603 , -0.25569 ,  0.65564 , -0.95541 , -1.123   ,  0.020756,\n",
       "        -0.62319 , -1.7187  , -1.0469  , -0.21261 ,  0.041972,  0.53257 ,\n",
       "         3.1583  ,  0.72086 ,  0.88138 ,  0.70533 , -0.43314 , -0.35977 ,\n",
       "        -0.73642 , -0.16983 ,  0.26122 , -0.70103 , -0.65441 ,  0.12938 ,\n",
       "        -0.17945 , -0.089352,  0.30962 ,  0.37575 , -0.69915 ,  0.66485 ,\n",
       "         0.29083 , -0.33934 ], dtype=float32),\n",
       " 'performance': array([-0.50986  ,  0.28758  , -0.41286  ,  0.18405  , -0.038266 ,\n",
       "         0.010596 , -0.083871 , -0.19228  ,  0.073327 ,  1.3219   ,\n",
       "         0.35618  , -0.064267 , -0.90682  ,  0.1474   ,  0.19528  ,\n",
       "        -0.63338  , -0.11165  ,  0.15256  , -0.68727  , -1.1407   ,\n",
       "         0.35791  ,  0.39082  , -0.30861  , -0.68713  ,  0.40257  ,\n",
       "        -0.60808  , -0.79529  , -0.0090754, -0.32779  ,  0.03577  ,\n",
       "         3.4517   ,  0.62725  ,  1.0889   , -0.88206  ,  0.64118  ,\n",
       "         0.018994 ,  0.79542  ,  0.81287  , -0.47404  , -0.91343  ,\n",
       "        -0.31819  , -0.20503  , -0.54741  , -0.49252  , -0.1483   ,\n",
       "        -0.094014 ,  0.33103  ,  0.33508  ,  0.13401  ,  1.0052   ],\n",
       "       dtype=float32),\n",
       " 'sports': array([-1.1476e+00,  1.4860e+00, -5.3553e-01,  1.4884e+00, -4.8945e-01,\n",
       "        -7.8874e-01, -1.0603e+00, -1.1097e+00, -1.8863e-01, -3.8284e-01,\n",
       "         1.9501e-01,  6.7649e-02, -7.4472e-01,  2.4205e-01,  9.6511e-01,\n",
       "        -3.2038e-02, -1.4121e-01,  1.7449e+00, -7.3301e-01, -5.8727e-01,\n",
       "         1.7896e-01,  5.7795e-01, -2.1835e-01,  1.1371e+00, -5.1163e-01,\n",
       "        -1.0939e+00, -5.6724e-01,  2.0169e-03, -3.0077e-01,  1.8371e-01,\n",
       "         2.6094e+00,  1.0519e+00, -8.7750e-03, -7.2297e-01, -5.2943e-01,\n",
       "         6.6300e-01, -2.4681e-02,  2.1470e-01, -3.8752e-01,  9.9251e-02,\n",
       "         5.8373e-01,  1.0047e-01, -1.7571e-01,  9.9239e-01,  5.0743e-02,\n",
       "         2.4906e-01, -5.5173e-01,  5.5462e-01,  7.3031e-02,  4.6026e-01],\n",
       "       dtype=float32),\n",
       " '1998': array([-0.34754 ,  0.30878 ,  0.22932 ,  0.45494 , -0.51916 ,  0.23823 ,\n",
       "        -0.85196 , -0.49933 ,  0.021442, -0.014074,  0.22998 , -0.45874 ,\n",
       "        -0.88966 , -0.34324 ,  1.5218  , -0.16212 , -0.41015 ,  0.16188 ,\n",
       "        -0.95228 ,  0.62372 ,  0.49159 , -0.30271 ,  0.37862 , -0.2758  ,\n",
       "        -0.78844 , -1.1539  , -0.13399 , -0.4272  , -0.50507 ,  0.41362 ,\n",
       "         2.5532  , -0.16204 , -0.45165 , -0.28422 , -0.028118, -0.32845 ,\n",
       "         0.34177 ,  0.22686 ,  0.04965 , -0.71354 , -0.76094 , -0.3926  ,\n",
       "        -0.020315, -0.86794 , -0.74409 ,  0.30734 , -0.37553 , -0.16956 ,\n",
       "        -0.11915 ,  0.070809], dtype=float32),\n",
       " 'let': array([ 0.067025 , -0.010427 ,  0.61778  , -0.29952  ,  0.68244  ,\n",
       "        -0.53138  , -0.0049878,  0.67877  , -0.3801   ,  0.1606   ,\n",
       "        -0.054663 ,  0.85439  , -0.48949  ,  0.091105 ,  0.79834  ,\n",
       "         0.83093  ,  0.79013  , -0.31992  ,  0.27924  , -1.1659   ,\n",
       "        -0.0048596,  0.20945  ,  0.5982   ,  0.59395  ,  0.50349  ,\n",
       "        -1.8205   , -0.31137  , -0.073957 ,  1.0215   , -1.0536   ,\n",
       "         2.9803   ,  0.83399  , -1.1412   ,  0.15333  , -0.49095  ,\n",
       "        -0.28432  ,  0.21243  , -0.37621  ,  0.46302  , -0.32079  ,\n",
       "         0.18216  ,  0.20559  , -0.051854 ,  0.38381  ,  0.062563 ,\n",
       "         0.20926  ,  0.21338  , -0.42741  , -0.19243  ,  0.42443  ],\n",
       "       dtype=float32),\n",
       " 'allowed': array([ 0.10289  , -0.24013  ,  0.39074  , -0.032014 ,  0.081459 ,\n",
       "        -0.042678 , -0.63224  ,  0.52089  , -0.27584  , -0.056162 ,\n",
       "         0.15395  ,  0.3342   ,  0.015407 ,  0.036289 ,  0.53005  ,\n",
       "         0.17534  ,  0.28165  , -0.8319   , -0.25911  , -0.54327  ,\n",
       "         0.012357 , -0.27165  ,  0.087227 , -0.059924 , -0.13022  ,\n",
       "        -1.3516   ,  0.86036  , -0.92887  ,  0.59762  , -0.68959  ,\n",
       "         3.137    ,  0.41082  , -0.77892  , -0.34251  ,  0.16286  ,\n",
       "         0.090066 ,  0.58855  ,  0.20332  , -0.21942  ,  0.26959  ,\n",
       "        -0.042266 , -0.12737  ,  0.44051  ,  0.85051  , -0.36565  ,\n",
       "        -0.30921  , -0.38347  , -0.15894  , -0.37644  ,  0.0062395],\n",
       "       dtype=float32),\n",
       " 'schools': array([-5.5586e-01,  3.9517e-01, -2.6923e-01, -1.2833e+00, -6.4747e-01,\n",
       "        -2.3652e-01, -8.6293e-01, -6.9774e-01,  8.6948e-02, -3.9360e-01,\n",
       "        -3.2900e-01, -5.8817e-01,  5.0561e-01, -8.3735e-01, -5.1139e-01,\n",
       "        -2.2911e-02, -1.1054e-01,  7.3848e-01,  7.1491e-01,  1.1191e-01,\n",
       "         1.9196e-01,  8.6972e-02, -3.0121e-01,  9.8204e-01, -6.8191e-01,\n",
       "        -1.2126e+00,  3.6823e-02, -9.3067e-01, -8.0033e-01, -7.8678e-01,\n",
       "         3.5054e+00,  8.3496e-01,  4.5130e-02, -1.3882e+00,  7.4704e-01,\n",
       "         5.3309e-01,  4.4379e-01,  1.2142e-01,  2.7758e-01,  4.3332e-01,\n",
       "        -1.0756e+00, -6.5919e-01,  4.6444e-01,  9.5934e-01, -4.2395e-02,\n",
       "         7.3250e-01, -3.6265e-01,  1.4583e-03, -2.6136e-01,  1.5590e-01],\n",
       "       dtype=float32),\n",
       " 'means': array([ 2.1355e-01,  2.3041e-01, -1.3499e-01, -2.8630e-01,  5.0639e-01,\n",
       "         1.2954e-01,  3.7019e-01, -2.0159e-01,  1.2016e-01,  4.0849e-01,\n",
       "         1.8936e-01,  4.4338e-01,  2.4298e-01, -3.8781e-01,  5.6661e-02,\n",
       "         3.8202e-01,  6.8769e-01,  2.5825e-02,  3.0772e-01, -3.6178e-01,\n",
       "        -2.5847e-01, -3.8405e-01, -3.6174e-02,  2.4066e-01,  4.5233e-01,\n",
       "        -1.5465e+00, -4.0753e-01, -1.4909e-01,  8.4388e-01, -4.3451e-02,\n",
       "         3.4950e+00,  1.8864e-01, -7.3908e-01, -1.6249e-01, -7.1319e-02,\n",
       "        -1.7336e-01,  2.1736e-04, -5.8470e-02, -2.0480e-01, -1.0149e-01,\n",
       "        -3.4238e-02, -2.6169e-01,  1.1886e-02,  5.2657e-01, -1.2127e-01,\n",
       "        -1.5556e-01,  7.0165e-02,  2.4924e-01,  3.5992e-01,  9.8560e-02],\n",
       "       dtype=float32),\n",
       " 'turn': array([ 0.45343  , -0.22031  ,  0.53704  , -0.48735  ,  0.34246  ,\n",
       "         0.046052 , -0.23291  ,  0.25968  , -0.1569   ,  0.19915  ,\n",
       "        -0.25845  ,  0.1669   , -0.40184  ,  0.2655   ,  0.098261 ,\n",
       "         0.37715  ,  0.38031  , -0.18185  , -0.18964  , -0.89434  ,\n",
       "         0.14745  , -0.074522 ,  0.39154  ,  0.2833   ,  0.41066  ,\n",
       "        -1.7343   , -0.25598  ,  0.17865  ,  0.7382   , -0.25739  ,\n",
       "         3.1924   ,  0.45517  , -0.42569  , -0.20284  ,  0.0046717,\n",
       "        -0.15003  , -0.44053  ,  0.17373  ,  0.042864 , -0.51609  ,\n",
       "        -0.24876  ,  0.18265  , -0.1904   ,  0.13985  , -0.10454  ,\n",
       "         0.16818  ,  0.16748  , -0.51592  ,  0.034724 , -0.089377 ],\n",
       "       dtype=float32),\n",
       " 'leave': array([ 0.79771 ,  0.08909 ,  0.17723 , -0.58506 ,  0.5871  , -0.70193 ,\n",
       "        -0.78631 ,  1.1763  , -0.25696 , -0.66243 ,  0.058106,  0.19201 ,\n",
       "        -0.04884 , -0.27393 ,  0.95819 ,  1.0356  ,  0.14449 , -0.30604 ,\n",
       "         0.044193, -0.22721 ,  0.027355,  0.55869 ,  0.12778 ,  0.46579 ,\n",
       "        -0.017689, -1.6922  ,  0.44348 ,  0.19524 ,  0.41076 , -0.18317 ,\n",
       "         2.795   ,  0.75718 , -0.88726 , -0.14753 ,  0.049552,  0.093066,\n",
       "         0.26452 , -0.29798 ,  0.28468 , -0.47097 , -0.23936 ,  0.019627,\n",
       "         0.26852 ,  0.064596, -0.031655,  0.029885, -0.32127 , -0.14418 ,\n",
       "        -0.15139 , -0.10266 ], dtype=float32),\n",
       " 'no.': array([-1.0813  ,  0.089596,  1.0337  ,  0.55569 ,  0.18807 , -0.11403 ,\n",
       "        -0.264   ,  0.78291 , -0.16566 , -0.74798 , -0.43662 , -0.32686 ,\n",
       "        -1.0537  ,  0.35009 , -0.10532 , -1.106   , -0.94085 , -0.015112,\n",
       "        -0.76809 ,  0.36627 , -0.93716 , -0.73691 ,  0.30422 ,  0.19737 ,\n",
       "        -0.14104 , -1.5804  , -0.43692 , -0.57977 , -0.10138 , -0.97532 ,\n",
       "         2.4912  , -0.42417 ,  0.52231 ,  0.98276 ,  0.75742 , -0.38606 ,\n",
       "         0.84215 ,  1.0789  ,  0.27989 , -1.0415  ,  0.028507, -0.9183  ,\n",
       "         0.97205 , -0.6486  , -0.38803 ,  1.3163  , -0.077534, -0.88551 ,\n",
       "         0.33157 ,  0.72665 ], dtype=float32),\n",
       " 'robert': array([-0.19995 ,  0.38383 ,  0.36403 , -0.36348 ,  0.23214 ,  0.33185 ,\n",
       "        -0.97427 , -0.24149 , -0.70782 , -0.64623 , -0.86693 ,  0.90944 ,\n",
       "        -1.0798  , -0.59942 ,  0.34519 , -0.021344,  0.89898 , -0.54456 ,\n",
       "        -0.57699 , -0.44073 ,  0.42804 ,  0.38414 ,  0.04085 , -0.33842 ,\n",
       "        -0.28967 , -1.5894  , -0.31691 , -0.88054 , -0.76171 ,  0.50147 ,\n",
       "         1.3097  , -1.6364  , -0.41296 , -0.73544 ,  0.60044 , -0.16243 ,\n",
       "        -0.50532 ,  0.54984 ,  0.87782 , -0.43424 ,  0.61188 ,  1.4802  ,\n",
       "        -0.072617, -1.1088  ,  0.1128  ,  0.71101 , -0.11391 , -0.62506 ,\n",
       "        -0.57961 ,  0.97513 ], dtype=float32),\n",
       " 'personal': array([ 0.088672,  1.0404  ,  0.26865 ,  0.28934 ,  0.74201 ,  0.45374 ,\n",
       "        -0.26177 , -0.34731 ,  0.053297,  0.34764 , -0.35502 ,  0.66339 ,\n",
       "        -0.54661 , -0.59113 ,  0.54902 , -0.47385 , -1.0949  , -0.18313 ,\n",
       "         0.7387  , -0.66967 ,  0.30049 ,  0.64595 , -0.44637 , -0.71734 ,\n",
       "         0.41773 , -1.5406  , -0.81708 , -0.72127 ,  0.6352  ,  0.53368 ,\n",
       "         3.0156  ,  0.51913 ,  0.080453, -0.64715 , -0.24082 ,  0.37297 ,\n",
       "        -0.6294  ,  0.34703 , -0.45183 , -0.42116 ,  0.67001 , -0.064728,\n",
       "        -0.25074 ,  1.1536  , -0.20129 , -0.39349 , -0.33657 ,  0.30779 ,\n",
       "         0.055596, -0.035741], dtype=float32),\n",
       " 'stocks': array([-0.30461  , -1.4674   ,  1.0339   ,  0.14557  ,  0.53504  ,\n",
       "        -1.5757   , -0.91688  , -0.47004  ,  0.027446 ,  0.75741  ,\n",
       "        -0.12661  ,  0.41062  , -0.1321   , -0.053953 , -0.49372  ,\n",
       "         0.23878  , -0.49937  , -1.0634   , -1.0352   , -0.91881  ,\n",
       "         1.1486   , -0.93914  ,  0.34884  , -0.73349  , -0.42395  ,\n",
       "        -0.93715  , -0.33253  , -0.056602 ,  0.38061  ,  0.61549  ,\n",
       "         3.3407   , -0.0038774,  2.1445   ,  0.92683  ,  0.60325  ,\n",
       "        -1.615    , -1.3836   , -0.065517 ,  0.45422  , -0.54098  ,\n",
       "        -1.2626   , -0.6255   ,  1.4893   ,  0.36952  ,  1.007    ,\n",
       "         0.95371  , -0.091711 ,  0.47243  ,  0.85753  , -0.25246  ],\n",
       "       dtype=float32),\n",
       " 'showed': array([-0.086189, -0.13341 ,  0.72188 , -0.074082,  0.48125 ,  0.3308  ,\n",
       "        -0.81746 , -0.13333 ,  0.34035 ,  0.13655 ,  0.54579 , -1.0836  ,\n",
       "        -0.41566 , -0.12365 ,  0.32473 , -0.15844 , -1.0041  , -0.77943 ,\n",
       "        -0.59669 , -0.68211 , -0.13102 ,  0.57654 ,  0.68376 , -0.91724 ,\n",
       "         0.084434, -1.2857  , -0.86709 ,  0.70777 , -0.36083 ,  0.27499 ,\n",
       "         2.7763  ,  0.45847 ,  0.63529 , -1.1435  , -0.21538 , -0.30439 ,\n",
       "         0.28394 ,  0.36741 ,  0.16178 , -0.36332 , -0.11463 ,  0.25663 ,\n",
       "        -0.25957 , -0.23922 ,  0.5092  , -0.60598 , -0.39565 ,  0.50416 ,\n",
       "         0.42499 , -0.32608 ], dtype=float32),\n",
       " 'light': array([ 0.0062958,  0.47249  , -0.073297 , -0.0060334,  0.36752  ,\n",
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       "         0.40365  ,  0.030591 ,  0.29251  ,  0.30817  , -0.78066  ,\n",
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       "       dtype=float32),\n",
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       " 'latest': array([ 0.53201  ,  0.010601 ,  0.14717  ,  0.58415  , -0.304    ,\n",
       "         0.038789 , -0.60231  , -0.42391  ,  0.43731  ,  0.39011  ,\n",
       "        -0.67805  , -0.67161  , -0.8444   ,  0.30765  ,  1.0249   ,\n",
       "        -0.19623  , -0.58092  , -0.51981  , -0.45577  ,  0.0040512,\n",
       "         0.41508  ,  0.10227  , -0.37032  , -0.3504   ,  0.014949 ,\n",
       "        -1.5381   , -0.98881  ,  0.14321  , -0.10912  ,  0.60185  ,\n",
       "         3.093    , -0.23535  , -0.21041  , -0.15     , -0.11692  ,\n",
       "        -0.03587  , -0.078682 , -0.67547  , -0.57396  , -0.66143  ,\n",
       "        -0.45335  ,  0.28808  , -0.30648  , -0.58466  ,  0.916    ,\n",
       "         0.2978   ,  0.51643  ,  1.3226   ,  0.1169   ,  0.062825 ],\n",
       "       dtype=float32),\n",
       " 'banks': array([ 8.2710e-01, -4.8219e-01,  6.7966e-01, -2.6328e-01, -4.5816e-01,\n",
       "        -1.3364e-01, -7.3247e-01,  3.1852e-01, -4.6337e-01, -3.4561e-02,\n",
       "        -9.9436e-02,  1.0159e+00,  8.2146e-02, -1.4959e-01, -1.7242e-01,\n",
       "         7.8729e-01,  7.5757e-01, -8.5362e-01,  3.9677e-01, -3.7476e-01,\n",
       "         1.4576e+00, -7.3945e-01, -9.7499e-02, -1.3451e-01, -8.4306e-01,\n",
       "        -1.0507e+00,  2.5437e-01, -1.3626e-02, -4.8004e-01, -4.0503e-01,\n",
       "         3.5636e+00,  1.8436e-01,  1.5831e+00,  3.2820e-01,  7.0492e-04,\n",
       "        -5.0349e-01, -7.0440e-01, -7.7461e-01,  8.5403e-01, -8.4153e-01,\n",
       "        -6.8792e-01, -2.8112e-01,  1.2088e+00,  2.2196e-01, -1.0488e-01,\n",
       "        -5.1722e-01, -6.7723e-01,  3.1619e-01,  6.4571e-01, -2.9856e-01],\n",
       "       dtype=float32),\n",
       " 'question': array([ 0.19854  ,  0.23367  , -0.13229  , -0.031831 ,  0.88523  ,\n",
       "         0.3204   ,  0.084608 ,  0.14071  , -0.2259   , -0.22972  ,\n",
       "        -0.65407  ,  0.16478  , -0.45206  , -0.042035 ,  0.95613  ,\n",
       "         0.44857  ,  0.23103  , -0.38818  ,  0.45169  , -0.37423  ,\n",
       "        -0.16046  ,  0.35678  ,  0.21063  ,  0.11357  ,  0.8986   ,\n",
       "        -2.338    , -0.51544  ,  0.25484  ,  0.21606  , -0.10982  ,\n",
       "         2.6156   , -0.098636 , -0.56122  , -0.88471  , -0.17587  ,\n",
       "        -0.61716  , -0.27264  ,  0.050048 , -0.19554  , -0.29152  ,\n",
       "        -0.22575  ,  0.22981  ,  0.10951  ,  0.9937   , -0.37194  ,\n",
       "         0.23874  ,  0.12534  ,  1.2378   , -0.0029151,  0.27317  ],\n",
       "       dtype=float32),\n",
       " '1997': array([-0.46989  ,  0.31432  ,  0.10113  ,  0.24466  , -0.32718  ,\n",
       "         0.30054  , -0.96736  , -0.61152  , -0.0038263,  0.0032211,\n",
       "         0.33081  , -0.40485  , -0.81947  , -0.23468  ,  1.5487   ,\n",
       "        -0.029576 , -0.44343  ,  0.10573  , -0.90384  ,  0.61398  ,\n",
       "         0.64047  , -0.34173  ,  0.35517  , -0.36099  , -0.61812  ,\n",
       "        -1.0327   , -0.11388  , -0.38266  , -0.49656  ,  0.47896  ,\n",
       "         2.6134   , -0.14164  , -0.38831  , -0.15037  , -0.058876 ,\n",
       "        -0.43052  ,  0.43463  ,  0.20592  ,  0.11498  , -0.72169  ,\n",
       "        -0.74863  , -0.43871  ,  0.0096367, -0.797    , -0.84279  ,\n",
       "         0.13719  , -0.35364  , -0.21818  , -0.15784  ,  0.1048   ],\n",
       "       dtype=float32),\n",
       " 'prison': array([ 0.10842  ,  0.3668   , -0.34698  , -0.8755   ,  0.20341  ,\n",
       "        -0.57639  ,  0.78038  ,  0.65956  ,  0.14093  ,  0.11955  ,\n",
       "        -0.60371  , -0.6606   ,  0.0038727, -0.35573  ,  1.0427   ,\n",
       "        -0.46914  , -0.51857  ,  0.36636  , -0.018488 ,  0.93994  ,\n",
       "         0.55604  ,  0.83478  , -0.070493 ,  0.21473  , -1.8322   ,\n",
       "        -2.5242   ,  0.99708  ,  0.21451  ,  0.27619  , -0.08395  ,\n",
       "         2.2232   , -1.1791   , -0.53085  , -0.88126  ,  0.56367  ,\n",
       "         0.72523  ,  0.57379  , -0.61366  ,  0.49217  , -0.32391  ,\n",
       "        -0.61211  ,  0.40994  ,  1.0354   ,  0.5697   ,  0.087274 ,\n",
       "        -1.1567   , -0.25585  , -1.0675   , -0.27626  , -0.1141   ],\n",
       "       dtype=float32),\n",
       " 'feel': array([-0.0044021, -0.34141  , -0.22729  , -0.69283  ,  0.80244  ,\n",
       "        -0.21823  , -0.19036  ,  0.86436  , -0.6988   ,  0.58897  ,\n",
       "         0.22517  ,  0.1399   , -0.18051  ,  0.14046  ,  0.55502  ,\n",
       "         0.59184  ,  0.51439  ,  0.30326  ,  0.37276  , -1.0549   ,\n",
       "        -1.0332   ,  1.2613   ,  0.20113  ,  0.50856  ,  1.0459   ,\n",
       "        -1.509    , -1.1532   ,  0.63151  ,  1.1575   , -0.52315  ,\n",
       "         3.1025   ,  1.0674   ,  0.47125  , -0.52927  , -0.51614  ,\n",
       "        -0.31387  ,  0.011424 ,  0.017461 ,  0.026483 , -0.81318  ,\n",
       "        -0.42375  , -0.23732  ,  0.24397  ,  0.74946  ,  0.056762 ,\n",
       "         0.26774  , -0.82833  , -0.25263  , -0.29477  ,  0.611    ],\n",
       "       dtype=float32),\n",
       " 'attention': array([-0.084238 ,  0.53053  ,  0.12816  , -0.28886  , -0.18125  ,\n",
       "        -0.205    , -0.096976 ,  0.070474 ,  0.23336  ,  0.14649  ,\n",
       "        -0.55293  , -0.022887 , -0.35714  , -0.35338  ,  0.61158  ,\n",
       "        -0.21432  , -0.024156 , -0.49679  ,  0.044917 , -0.55818  ,\n",
       "         0.32167  ,  0.56808  ,  0.18367  , -0.0069878,  0.7587   ,\n",
       "        -1.6715   , -0.61596  , -0.35291  ,  0.11358  ,  0.53997  ,\n",
       "         2.8148   ,  0.85088  ,  0.12374  , -1.0855   , -0.49705  ,\n",
       "         0.35443  , -0.43236  , -0.181    , -0.37668  , -0.58063  ,\n",
       "         0.28078  ,  0.63339  , -0.046038 , -0.091437 ,  0.59663  ,\n",
       "         0.066547 ,  0.062638 ,  0.5009   ,  0.23662  ,  0.16071  ],\n",
       "       dtype=float32),\n",
       " ...}"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#converting into vector form\n",
    "embeddings_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "training embedding dict (315, 10, 50) \n",
      "testing  embedding Dict (56, 10, 50)\n"
     ]
    }
   ],
   "source": [
    "print (\"training embedding dict\" ,  embeddings_dict_train.shape, \"\\ntesting  embedding Dict\",\n",
    "       embeddings_dict_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Keras Sequential model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_1\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "lstm_3 (LSTM)                (None, 10, 128)           91648     \n",
      "_________________________________________________________________\n",
      "dropout_2 (Dropout)          (None, 10, 128)           0         \n",
      "_________________________________________________________________\n",
      "lstm_4 (LSTM)                (None, 128)               131584    \n",
      "_________________________________________________________________\n",
      "dropout_3 (Dropout)          (None, 128)               0         \n",
      "_________________________________________________________________\n",
      "dense (Dense)                (None, 5)                 645       \n",
      "_________________________________________________________________\n",
      "activation (Activation)      (None, 5)                 0         \n",
      "=================================================================\n",
      "Total params: 223,877\n",
      "Trainable params: 223,877\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "# adding layers via the .add() method:\n",
    "model = Sequential()\n",
    " # Propagate the embeddings through an LSTM layer with 128-dimensional hidden state\n",
    "model.add(LSTM(128, input_shape=(10,50), return_sequences=True)) # max 10 words per sentence, each of 50 dim\n",
    "# Add dropout with a probability of 0.5\n",
    "model.add(Dropout(0.5))\n",
    "# Propagate trough another LSTM layer with 128-dimensional hidden state\n",
    "# Be careful, the returned output should be a single hidden state, not a batch of sequences.\n",
    "model.add(LSTM(128, return_sequences=False))\n",
    " # Add dropout with a probability of 0.5\n",
    "model.add(Dropout(0.5))\n",
    "\n",
    " # Propagate through a Dense layer with softmax activation to get back a batch of 5-dimensional vectors.\n",
    "model.add(Dense(5))\n",
    "model.add(Activation('softmax'))\n",
    "\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Train the model, evaluate it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Setting Loss and Optimiser for the model\n",
    "\n",
    "# Compile your model using categorical_crossentropy loss,adam optimizer and ['accuracy'] metrics:\n",
    "model.compile(loss='categorical_crossentropy', \n",
    "              optimizer='adam',\n",
    "              metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "We call fit(), which will train the model by slicing the data into \"batches\" of size \"batch_size\", and repeatedly iterating over the entire dataset for a given number of \"epochs\".\n",
    "\n",
    "Fit the Keras model on embeddings_dict_train and Y_train. We will use epochs = 50 and batch_size = 32."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fit model on training data\n",
      "\n",
      "Epoch 1/50\n",
      "10/10 [==============================] - 0s 16ms/step - loss: 1.5569 - accuracy: 0.2794\n",
      "Epoch 2/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 1.4118 - accuracy: 0.3873\n",
      "Epoch 3/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 1.1428 - accuracy: 0.5968\n",
      "Epoch 4/50\n",
      "10/10 [==============================] - 0s 16ms/step - loss: 0.9377 - accuracy: 0.6254\n",
      "Epoch 5/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 0.7908 - accuracy: 0.6794\n",
      "Epoch 6/50\n",
      "10/10 [==============================] - 0s 15ms/step - loss: 0.5976 - accuracy: 0.7746\n",
      "Epoch 7/50\n",
      "10/10 [==============================] - 0s 13ms/step - loss: 0.4611 - accuracy: 0.7968\n",
      "Epoch 8/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 0.3797 - accuracy: 0.8381\n",
      "Epoch 9/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 0.3381 - accuracy: 0.8794\n",
      "Epoch 10/50\n",
      "10/10 [==============================] - 0s 15ms/step - loss: 0.2722 - accuracy: 0.9048\n",
      "Epoch 11/50\n",
      "10/10 [==============================] - 0s 13ms/step - loss: 0.2968 - accuracy: 0.8857\n",
      "Epoch 12/50\n",
      "10/10 [==============================] - 0s 13ms/step - loss: 0.2166 - accuracy: 0.9302\n",
      "Epoch 13/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 0.1739 - accuracy: 0.9460\n",
      "Epoch 14/50\n",
      "10/10 [==============================] - 0s 13ms/step - loss: 0.1876 - accuracy: 0.9429\n",
      "Epoch 15/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 0.1809 - accuracy: 0.9333\n",
      "Epoch 16/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 0.1782 - accuracy: 0.9302\n",
      "Epoch 17/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 0.1293 - accuracy: 0.9556\n",
      "Epoch 18/50\n",
      "10/10 [==============================] - 0s 15ms/step - loss: 0.0983 - accuracy: 0.9683\n",
      "Epoch 19/50\n",
      "10/10 [==============================] - 0s 15ms/step - loss: 0.0751 - accuracy: 0.9778\n",
      "Epoch 20/50\n",
      "10/10 [==============================] - 0s 16ms/step - loss: 0.0658 - accuracy: 0.9778\n",
      "Epoch 21/50\n",
      "10/10 [==============================] - 0s 15ms/step - loss: 0.1005 - accuracy: 0.9746\n",
      "Epoch 22/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 0.1164 - accuracy: 0.9683\n",
      "Epoch 23/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 0.1063 - accuracy: 0.9619\n",
      "Epoch 24/50\n",
      "10/10 [==============================] - 0s 13ms/step - loss: 0.1353 - accuracy: 0.9460\n",
      "Epoch 25/50\n",
      "10/10 [==============================] - 0s 15ms/step - loss: 0.0698 - accuracy: 0.9778\n",
      "Epoch 26/50\n",
      "10/10 [==============================] - 0s 16ms/step - loss: 0.0537 - accuracy: 0.9905\n",
      "Epoch 27/50\n",
      "10/10 [==============================] - 0s 16ms/step - loss: 0.0353 - accuracy: 0.9873\n",
      "Epoch 28/50\n",
      "10/10 [==============================] - 0s 16ms/step - loss: 0.0370 - accuracy: 0.9905\n",
      "Epoch 29/50\n",
      "10/10 [==============================] - 0s 16ms/step - loss: 0.0573 - accuracy: 0.9841\n",
      "Epoch 30/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 0.0385 - accuracy: 0.9873\n",
      "Epoch 31/50\n",
      "10/10 [==============================] - 0s 15ms/step - loss: 0.0179 - accuracy: 0.9968\n",
      "Epoch 32/50\n",
      "10/10 [==============================] - 0s 16ms/step - loss: 0.0092 - accuracy: 1.0000\n",
      "Epoch 33/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 0.0048 - accuracy: 1.0000\n",
      "Epoch 34/50\n",
      "10/10 [==============================] - 0s 15ms/step - loss: 0.0026 - accuracy: 1.0000\n",
      "Epoch 35/50\n",
      "10/10 [==============================] - 0s 13ms/step - loss: 0.0024 - accuracy: 1.0000\n",
      "Epoch 36/50\n",
      "10/10 [==============================] - 0s 13ms/step - loss: 0.0024 - accuracy: 1.0000\n",
      "Epoch 37/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 0.0017 - accuracy: 1.0000\n",
      "Epoch 38/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 0.0020 - accuracy: 1.0000\n",
      "Epoch 39/50\n",
      "10/10 [==============================] - 0s 13ms/step - loss: 0.0026 - accuracy: 1.0000\n",
      "Epoch 40/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 0.0020 - accuracy: 1.0000\n",
      "Epoch 41/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 0.0013 - accuracy: 1.0000\n",
      "Epoch 42/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 0.0011 - accuracy: 1.0000\n",
      "Epoch 43/50\n",
      "10/10 [==============================] - 0s 15ms/step - loss: 0.0014 - accuracy: 1.0000\n",
      "Epoch 44/50\n",
      "10/10 [==============================] - 0s 15ms/step - loss: 0.0011 - accuracy: 1.0000\n",
      "Epoch 45/50\n",
      "10/10 [==============================] - 0s 15ms/step - loss: 0.0010 - accuracy: 1.0000\n",
      "Epoch 46/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 0.0011 - accuracy: 1.0000\n",
      "Epoch 47/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 0.0010 - accuracy: 1.0000\n",
      "Epoch 48/50\n",
      "10/10 [==============================] - 0s 13ms/step - loss: 8.8568e-04 - accuracy: 1.0000\n",
      "Epoch 49/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 6.7817e-04 - accuracy: 1.0000\n",
      "Epoch 50/50\n",
      "10/10 [==============================] - 0s 14ms/step - loss: 9.3649e-04 - accuracy: 1.0000\n"
     ]
    }
   ],
   "source": [
    "# Training of the model and Setting hyperparameters for the model\n",
    "print(\"Fit model on training data\\n\")\n",
    "hist = model.fit(embeddings_dict_train,Y_train,\n",
    "                epochs = 50, batch_size=32,shuffle=True\n",
    "                )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/10 [==============================] - 0s 5ms/step - loss: 2.2964e-04 - accuracy: 1.0000\n"
     ]
    }
   ],
   "source": [
    "score = model.evaluate(embeddings_dict_train,Y_train,\n",
    "                batch_size=32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From <ipython-input-30-3375cb9e1a78>:2: Sequential.predict_classes (from tensorflow.python.keras.engine.sequential) is deprecated and will be removed after 2021-01-01.\n",
      "Instructions for updating:\n",
      "Please use instead:* `np.argmax(model.predict(x), axis=-1)`,   if your model does multi-class classification   (e.g. if it uses a `softmax` last-layer activation).* `(model.predict(x) > 0.5).astype(\"int32\")`,   if your model does binary classification   (e.g. if it uses a `sigmoid` last-layer activation).\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([3, 2, 3, 0, 4, 0, 3, 2, 3, 1, 3, 3, 1, 3, 2, 3, 2, 3, 1, 2, 3, 0,\n",
       "       2, 2, 2, 1, 4, 2, 2, 4, 0, 3, 4, 2, 0, 3, 2, 2, 3, 4, 2, 2, 0, 2,\n",
       "       3, 0, 3, 2, 4, 3, 0, 3, 3, 3, 4, 2, 1, 1, 1, 2, 3, 1, 0, 0, 0, 3,\n",
       "       4, 4, 2, 2, 1, 2, 0, 3, 2, 2, 0, 0, 3, 1, 2, 1, 2, 2, 4, 3, 3, 2,\n",
       "       4, 0, 0, 0, 3, 3, 3, 2, 0, 1, 2, 3, 0, 2, 2, 2, 3, 2, 2, 2, 4, 1,\n",
       "       1, 3, 3, 4, 1, 2, 1, 1, 3, 1, 0, 4, 0, 3, 3, 4, 4, 1, 4, 3, 0, 2,\n",
       "       4, 3, 3, 1, 2, 1, 4, 3, 4, 1, 3, 3, 2, 2, 4, 3, 2, 3, 3, 1, 3, 2,\n",
       "       2, 2, 0, 1, 0, 4, 2, 0, 2, 0, 0, 3, 4, 0, 2, 1, 3, 1, 0, 4, 0, 3,\n",
       "       0, 4, 2, 3, 4, 2, 2, 3, 0, 2, 2, 3, 2, 3, 2, 2, 3, 3, 0, 2, 3, 0,\n",
       "       2, 0, 0, 2, 3, 2, 4, 1, 3, 3, 0, 0, 3, 2, 0, 3, 0, 2, 2, 4, 2, 2,\n",
       "       0, 0, 2, 3, 0, 4, 2, 1, 2, 3, 3, 2, 3, 0, 3, 0, 2, 0, 2, 3, 4, 3,\n",
       "       1, 3, 4, 3, 2, 3, 3, 3, 1, 4, 4, 2, 2, 1, 1, 2, 3, 2, 3, 4, 2, 3,\n",
       "       0, 2, 0, 0, 4, 3, 4, 2, 3, 2, 3, 4, 2, 1, 2, 4, 3, 1, 3, 2, 3, 2,\n",
       "       2, 3, 3, 2, 4, 0, 0, 0, 3, 0, 0, 1, 1, 2, 2, 2, 0, 3, 2, 3, 3, 1,\n",
       "       2, 2, 4, 2, 3, 1, 2], dtype=int64)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Prediction of the trained model embeddings_dict\n",
    "predX = model.predict_classes(embeddings_dict_train)\n",
    "predX"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([4, 3, 2, 0, 2, 0, 3, 0, 4, 2, 1, 2, 3, 2, 1, 3, 3, 2, 3, 4, 0, 2,\n",
       "       4, 3, 3, 3, 3, 0, 2, 0, 0, 1, 3, 2, 0, 1, 2, 4, 4, 2, 2, 2, 0, 1,\n",
       "       2, 0, 2, 2, 2, 3, 3, 0, 3, 2, 2, 3], dtype=int64)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred = model.predict_classes(embeddings_dict_test)\n",
    "pred\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy of model is :  0.9642857142857143\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# Calculating accuracy / score  of the model\n",
    "Accuracy = float(sum(pred==Y_test))/embeddings_dict_test.shape[0]\n",
    "print(\"Accuracy of model is : \", Accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "index =  6  \n",
      "['I', 'am', 'upset']\n",
      "expected ❤️\n",
      "predicted 😞 \n",
      "\n",
      "\n",
      "\n",
      "index =  11  \n",
      "['work', 'is', 'hard']\n",
      "expected 😞\n",
      "predicted 😇 \n",
      "\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Printing the sentences with the predicted and labled emoji\n",
    "for ix in range(embeddings_dict_test.shape[0]):\n",
    "    if pred[ix] != Y_test[ix]:\n",
    "        print('index = ',ix, \" \")\n",
    "        print (test[0][ix],end=\"\\n\")\n",
    "        \n",
    "        print ('expected', emoji.emojize(emoji_dict[Y_test[ix]], use_aliases=True))\n",
    "        print ('predicted',emoji.emojize(emoji_dict[pred[ix]], use_aliases=True), \"\\n\")\n",
    "        print(\"\\n\")\n",
    "      "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "enter the sentence\n",
      "hy\n",
      "The output is  [3]\n"
     ]
    }
   ],
   "source": [
    "# Predicting from user input \n",
    "sen= input(\"enter the sentence\\n\")\n",
    "x=sen.split(\" \")\n",
    "#x = [ 'Let','play', 'football']\n",
    "x_ = np.zeros((1,10,50))\n",
    "for ix in range(len(x)):\n",
    "    x_[0][ix] = embeddings_dict[x[ix].lower()] #vector\n",
    "      \n",
    "\n",
    "print(\"The output is \", model.predict_classes(x_))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    " "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "#try on these sentenses \n",
    "lets play football \n",
    "i adore you \n",
    "funny lol 😄\n",
    "pass me a ball \n",
    "food is ready \n",
    "not feeling happy "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": []
  }
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