{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "tags": [
     "hide-cell"
    ]
   },
   "outputs": [],
   "source": [
    "# Install the necessary dependencies\n",
    "\n",
    "import os\n",
    "import sys \n",
    "!{sys.executable} -m pip install --quiet pandas scikit-learn numpy matplotlib jupyterlab_myst ipython"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "remove-cell"
    ]
   },
   "source": [
    "---\n",
    "license:\n",
    "    code: MIT\n",
    "    content: CC-BY-4.0\n",
    "github: https://github.com/ocademy-ai/machine-learning\n",
    "venue: By Ocademy\n",
    "open_access: true\n",
    "bibliography:\n",
    "  - https://raw.githubusercontent.com/ocademy-ai/machine-learning/main/open-machine-learning-jupyter-book/references.bib\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Long-short term memory\n",
    "\n",
    "As we have learned the normal RNNs on the previous lessons, today we are going to use long-short term memory (LSTM) to fix the problems that are induced from the RNN architecture.\n",
    "\n",
    "The vanilla LSTM is proposed in 2005, the paper is [Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition](https://link.springer.com/chapter/10.1007/11550907_126), and after that, a lot of paper based on it appeared.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<p style=\"text-align: center;\">\n",
       "<iframe src=\"https://static-1300131294.cos.ap-shanghai.myqcloud.com/html/rnn-vis/index.html\" width=\"100%\" height=\"250px;\"\n",
       "style=\"border:none;\" scrolling=\"auto\"></iframe>\n",
       "A demo of advanced RNNs. <a\n",
       "href=\"https://distill.pub/2019/memorization-in-rnns/\"> [source]</a>\n",
       "</p>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import HTML\n",
    "display(HTML(\"\"\"\n",
    "<p style=\"text-align: center;\">\n",
    "<iframe src=\"https://static-1300131294.cos.ap-shanghai.myqcloud.com/html/rnn-vis/index.html\" width=\"100%\" height=\"250px;\"\n",
    "style=\"border:none;\" scrolling=\"auto\"></iframe>\n",
    "A demo of advanced RNNs. <a\n",
    "href=\"https://distill.pub/2019/memorization-in-rnns/\"> [source]</a>\n",
    "</p>\n",
    "\"\"\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Overview\n",
    "The essential problems of RNN are vanishing/exploding gradient problems. The gradient vanishing/exploding problem is a common issue in training deep neural networks. This problem occurs when the gradient of the loss function with respect to the weights of the network becomes very small or very large.\n",
    "\n",
    "There are several possibilities will bring on this kind of problem, for example:\n",
    "- a poor choice of hyper-parameters\n",
    "- a poor architecture,\n",
    "- a bug in the code.\n",
    "\n",
    "Luckily, LSTM can use a memory cell for modeling long-range dependencies and avoid vanishing/exploding gradient problems.\n",
    "\n",
    "First, let's see the architecture of LSTM cell.\n",
    "\n",
    "<img src=\"https://static-1300131294.cos.ap-shanghai.myqcloud.com/images/deep-learning/LSTM/LSTM_cell.png\" width=\"90%\" class=\"bg-white mb-1\">\n",
    "\n",
    "It looks like the cell of RNN, but there are still some differences between them. The same part is the direction of data, one input and two outputs. \n",
    "However, the LSTM cell adds a cell state $c^{<t>}$, which updates with the time. $c^{<t-1>}$ means cell state at previous time step and $c^{<t-1>}$ means cell state at current time step.\n",
    "The $h^{t}$ is still the activation.\n",
    "\n",
    "<img src=\"https://static-1300131294.cos.ap-shanghai.myqcloud.com/images/deep-learning/LSTM/cell_state.png\" width=\"90%\" class=\"bg-white mb-1\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Special Gates\n",
    "Then, we take a look at the inside of cell. $\\bigodot$ means element-wise multiplication operator, $\\bigoplus$ means element-wise addition operator and $\\sigma$ means logistic sigmoid activation functions.\n",
    "\n",
    "Now, we should pay attention to 'Gates'. \n",
    "\n",
    "The first is 'Forget Gate' $f$, and it controls which information is remembered, and which is forgotten; can reset the cell state. This function can be written as $f_t = \\sigma (W_{fx}x^{<t>} + W_{fh}h^{<t-1>} + b_f)$\n",
    "\n",
    "Next, 'Input Gate' is $i_t = \\sigma(W_{ix}x^{<t>} + W_{ih}h^{<t-1>} + b_i)$ and 'Input Node' is $g_t = tanh(W_{gt}x^{<t>} + W_{gh}x^{<t-1>} + b_g)$.\n",
    "\n",
    "To brief summarize the previous gates in an expression: $C^{<t>} = (C^{<t-1>} \\bigodot f_t) \\bigoplus (i_t \\bigodot g_t)$. Since $i_t$ is 'Input Gate' and $g_t$ is 'Input Gate', $(i_t \\bigodot g_t)$ is for updatting the cell state.\n",
    "\n",
    "Finally, 'Output Gate' is for updating the values of hidden units: $o_t = \\sigma(W_{ox}x^{<t>} + W_{oh}x^{<t-1>} + b_o)$. So the activateion of the current time is $h^{<t>} = o_t \\bigodot tanh(C^{<t>})$."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code\n",
    "Here we implement an LSTM model on all a data set of Shakespeare works."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import re\n",
    "import string\n",
    "import requests\n",
    "import numpy as np\n",
    "import collections\n",
    "import random\n",
    "import pickle\n",
    "import matplotlib.pyplot as plt\n",
    "import tensorflow as tf\n",
    "from tensorflow.python.framework import ops\n",
    "ops.reset_default_graph()\n",
    "tf.config.run_functions_eagerly(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set RNN Parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "min_word_freq = 5  # Trim the less frequent words off\n",
    "rnn_size = 128  # RNN Model size\n",
    "epochs = 10  # Number of epochs to cycle through data\n",
    "batch_size = 100  # Train on this many examples at once\n",
    "learning_rate = 0.001  # Learning rate\n",
    "training_seq_len = 50  # how long of a word group to consider\n",
    "embedding_size = rnn_size  # Word embedding size\n",
    "save_every = 500  # How often to save model checkpoints\n",
    "eval_every = 50  # How often to evaluate the test sentences\n",
    "prime_texts = ['thou art more', 'to be or not to', 'wherefore art thou']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Download/store Shakespeare data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_dir = 'tmp'\n",
    "data_file = 'shakespeare.txt'\n",
    "model_path = 'shakespeare_model'\n",
    "full_model_dir = os.path.join(data_dir, model_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Declare punctuation to remove, everything except hyphens and apostrophes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "punctuation = string.punctuation\n",
    "punctuation = ''.join([x for x in punctuation if x not in ['-', \"'\"]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make Model Directory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "if not os.path.exists(full_model_dir):\n",
    "    os.makedirs(full_model_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "Make data directory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading Shakespeare Data\n"
     ]
    }
   ],
   "source": [
    "if not os.path.exists(data_dir):\n",
    "    os.makedirs(data_dir)\n",
    "print('Loading Shakespeare Data')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check if file is downloaded."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "if not os.path.isfile(os.path.join(data_dir, data_file)):\n",
    "    print('Not found, downloading Shakespeare texts from www.gutenberg.org')\n",
    "    shakespeare_url = 'http://www.gutenberg.org/cache/epub/100/pg100.txt'\n",
    "    # Get Shakespeare text\n",
    "    response = requests.get(shakespeare_url)\n",
    "    shakespeare_file = response.content\n",
    "    # Decode binary into string\n",
    "    s_text = shakespeare_file.decode('utf-8')\n",
    "    # Drop first few descriptive paragraphs.\n",
    "    s_text = s_text[7675:]\n",
    "    # Remove newlines\n",
    "    s_text = s_text.replace('\\r\\n', '')\n",
    "    s_text = s_text.replace('\\n', '')\n",
    "    \n",
    "    # Write to file\n",
    "    with open(os.path.join(data_dir, data_file), 'w') as out_conn:\n",
    "        out_conn.write(s_text)\n",
    "else:\n",
    "    # If file has been saved, load from that file\n",
    "    with open(os.path.join(data_dir, data_file), 'r') as file_conn:\n",
    "        s_text = file_conn.read().replace('\\n', '')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Clean text."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cleaning Text\n"
     ]
    }
   ],
   "source": [
    "print('Cleaning Text')\n",
    "s_text = re.sub(r'[{}]'.format(punctuation), ' ', s_text)\n",
    "s_text = re.sub('\\s+', ' ', s_text).strip().lower()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Build word vocabulary function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def build_vocab(text, min_freq):\n",
    "    word_counts = collections.Counter(text.split(' '))\n",
    "    # limit word counts to those more frequent than cutoff\n",
    "    word_counts = {key: val for key, val in word_counts.items() if val > min_freq}\n",
    "    # Create vocab --> index mapping\n",
    "    words = word_counts.keys()\n",
    "    vocab_to_ix_dict = {key: (i_x+1) for i_x, key in enumerate(words)}\n",
    "    # Add unknown key --> 0 index\n",
    "    vocab_to_ix_dict['unknown'] = 0\n",
    "    # Create index --> vocab mapping\n",
    "    ix_to_vocab_dict = {val: key for key, val in vocab_to_ix_dict.items()}\n",
    "    \n",
    "    return ix_to_vocab_dict, vocab_to_ix_dict"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Build Shakespeare vocabulary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Building Shakespeare Vocab\n",
      "Vocabulary Length = 8286\n"
     ]
    }
   ],
   "source": [
    "print('Building Shakespeare Vocab')\n",
    "ix2vocab, vocab2ix = build_vocab(s_text, min_word_freq)\n",
    "vocab_size = len(ix2vocab) + 1\n",
    "print('Vocabulary Length = {}'.format(vocab_size))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sanity Check."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "assert(len(ix2vocab) == len(vocab2ix))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Convert text to word vectors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "s_text_words = s_text.split(' ')\n",
    "s_text_ix = []\n",
    "for ix, x in enumerate(s_text_words):\n",
    "    try:\n",
    "        s_text_ix.append(vocab2ix[x])\n",
    "    except KeyError:\n",
    "        s_text_ix.append(0)\n",
    "s_text_ix = np.array(s_text_ix)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define LSTM RNN Model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "class LSTM_Model(tf.keras.Model):\n",
    "    def __init__(self, embedding_size, rnn_size, batch_size, learning_rate,\n",
    "                 training_seq_len, vocab_size, infer_sample=False):\n",
    "        super(LSTM_Model, self).__init__()\n",
    "        self.embedding_size = embedding_size\n",
    "        self.rnn_size = rnn_size\n",
    "        self.vocab_size = vocab_size\n",
    "        self.infer_sample = infer_sample\n",
    "        self.learning_rate = learning_rate\n",
    "        \n",
    "        if infer_sample:\n",
    "            self.batch_size = 1\n",
    "            self.training_seq_len = 1\n",
    "        else:\n",
    "            self.batch_size = batch_size\n",
    "            self.training_seq_len = training_seq_len\n",
    "        \n",
    "        self.lstm = tf.keras.layers.LSTM(self.rnn_size, return_sequences=True, return_state=True)\n",
    "        self.x_data = tf.keras.layers.Input(shape=(self.training_seq_len,), dtype=tf.int32)\n",
    "        self.y_output = tf.keras.layers.Input(shape=(self.training_seq_len,), dtype=tf.int32)\n",
    "        \n",
    "        # Softmax Output Weights\n",
    "        self.W = tf.Variable(tf.random.normal([self.rnn_size, self.vocab_size]), name='W')\n",
    "        self.b = tf.Variable(tf.zeros([self.vocab_size]), name='b')\n",
    "        \n",
    "        # Define Embedding\n",
    "        self.embedding_mat = tf.Variable(tf.random.normal([self.vocab_size, self.embedding_size]), name='embedding_mat')\n",
    "                                            \n",
    "        embedding_output = tf.nn.embedding_lookup(self.embedding_mat, self.x_data)\n",
    "        outputs, last_state, _ = self.lstm(embedding_output)\n",
    "        \n",
    "        # Non inferred outputs\n",
    "        output = tf.reshape(tf.concat(axis=1, values=outputs), [-1, self.rnn_size])\n",
    "        # Logits and output\n",
    "        self.logit_output = tf.matmul(output, self.W) + self.b\n",
    "        self.model_output = tf.nn.softmax(self.logit_output)\n",
    "        \n",
    "        loss_fun = tf.keras.losses.sparse_categorical_crossentropy\n",
    "        loss = loss_fun(tf.reshape(self.y_output, [-1]), self.logit_output)\n",
    "        self.cost = tf.reduce_sum(loss) / (self.batch_size * self.training_seq_len)\n",
    "        self.final_state = last_state\n",
    "        optimizer = tf.keras.optimizers.Adam(self.learning_rate)\n",
    "        \n",
    "        @tf.function\n",
    "        def train_step(x, y,state):\n",
    "            with tf.GradientTape() as tape:\n",
    "                embedding_output = tf.nn.embedding_lookup(self.embedding_mat, x)\n",
    "                outputs, last_state, _ = self.lstm(embedding_output,initial_state=state)\n",
    "                output = tf.reshape(tf.concat(axis=1, values=outputs), [-1, self.rnn_size])\n",
    "                logit_output = tf.matmul(output, self.W) + self.b\n",
    "                cost = tf.reduce_sum(loss_fun(tf.reshape(y, [-1]), logit_output)) / (self.batch_size * self.training_seq_len)\n",
    "\n",
    "            trainable_variables = self.trainable_variables\n",
    "            gradients = tape.gradient(cost, trainable_variables)\n",
    "            optimizer.apply_gradients(zip(gradients, trainable_variables))\n",
    "            return cost\n",
    "        \n",
    "        self.train_op = train_step\n",
    "        \n",
    "    def call(self, x, initial_state):\n",
    "        embedding_output = tf.nn.embedding_lookup(self.embedding_mat, x)\n",
    "        lstm_output, final_state_h, final_state_c = self.lstm(embedding_output, initial_state=initial_state)\n",
    "        output = tf.reshape(tf.concat(axis=1, values=lstm_output), [-1, self.rnn_size])\n",
    "        logit_output = tf.matmul(output, self.W) + self.b\n",
    "        model_output = tf.nn.softmax(logit_output)\n",
    "        return model_output, (final_state_h, final_state_c)\n",
    "    \n",
    "    def loss(self, targets, logits):\n",
    "        loss_fun = tf.keras.losses.sparse_categorical_crossentropy\n",
    "        loss = loss_fun(targets, logits)\n",
    "        return tf.reduce_mean(loss)\n",
    "\n",
    "    def get_initial_state(self, batch_size):\n",
    "        return [tf.zeros((batch_size, self.lstm.units)) for i in range(2)]\n",
    "        \n",
    "    def sample(self, words=ix2vocab, vocab=vocab2ix, num=10, prime_text='art'):\n",
    "        state = [tf.zeros([1, self.rnn_size]), tf.zeros([1, self.rnn_size])]\n",
    "        word_list = prime_text.split()\n",
    "        for word in word_list[:-1]:\n",
    "            print(word)\n",
    "            #x = tf.expand_dims(vocab[word], axis=0)\n",
    "            x = np.zeros((1, 1))\n",
    "            x[0, 0] = vocab[word]\n",
    "            x = tf.cast(x, tf.int32)\n",
    "            print(x)\n",
    "            embedding_output = tf.nn.embedding_lookup(self.embedding_mat, x)\n",
    "            #embedding_output = tf.expand_dims(embedding_output, axis=1)\n",
    "            prediction, state_h, state_c = self.lstm(embedding_output, initial_state=state)\n",
    "            state = [state_h, state_c]\n",
    "\n",
    "        out_sentence = prime_text\n",
    "        word = word_list[-1]\n",
    "        for n in range(num):\n",
    "            #x = tf.expand_dims(vocab[word], axis=0)\n",
    "            x = np.zeros((1, 1))\n",
    "            x[0, 0] = vocab[word]\n",
    "            x = tf.cast(x, tf.int32)\n",
    "            embedding_output = tf.nn.embedding_lookup(self.embedding_mat, x)\n",
    "            prediction, state_h, state_c = self.lstm(embedding_output, initial_state=state)\n",
    "            logits = tf.matmul(prediction, self.W) + self.b\n",
    "            sample = tf.argmax(tf.nn.softmax(logits), axis=1).numpy()[0]\n",
    "            for i in sample:\n",
    "                if i== 0:\n",
    "                     break\n",
    "                print(i)\n",
    "                word = words[i]\n",
    "                out_sentence = out_sentence + ' ' + word\n",
    "            state = [state_h, state_c]\n",
    "        return out_sentence"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define LSTM Model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:The following Variables were used in a Lambda layer's call (tf.compat.v1.nn.embedding_lookup), but are not present in its tracked objects:   <tf.Variable 'embedding_mat:0' shape=(8286, 128) dtype=float32>. This is a strong indication that the Lambda layer should be rewritten as a subclassed Layer.\n",
      "WARNING:tensorflow:The following Variables were used in a Lambda layer's call (tf.linalg.matmul), but are not present in its tracked objects:   <tf.Variable 'W:0' shape=(128, 8286) dtype=float32>. This is a strong indication that the Lambda layer should be rewritten as a subclassed Layer.\n",
      "WARNING:tensorflow:The following Variables were used in a Lambda layer's call (tf.__operators__.add), but are not present in its tracked objects:   <tf.Variable 'b:0' shape=(8286,) dtype=float32>. This is a strong indication that the Lambda layer should be rewritten as a subclassed Layer.\n"
     ]
    }
   ],
   "source": [
    "lstm_model = LSTM_Model(embedding_size, rnn_size, batch_size, learning_rate,\n",
    "                             training_seq_len, vocab_size, infer_sample=True) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Train model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[array([[   0,    1,    2, ...,   39,   40,   41],\n",
      "       [  42,   43,   44, ...,   66,   26,   67],\n",
      "       [  68,   69,   70, ...,    7,    0,   88],\n",
      "       ...,\n",
      "       [  62,  932,  154, ...,  219,  895,  223],\n",
      "       [  10,   51,  236, ..., 1129,    2,   12],\n",
      "       [   0,   61,   81, ...,    1,    2,    3]]), array([[   0,   81,  228, ...,   29,  119, 1207],\n",
      "       [  23,  227,    2, ...,  557,   50,  227],\n",
      "       [  17,   79,   79, ...,   18, 1235,  107],\n",
      "       ...,\n",
      "       [ 688,   14,   20, ...,    7,  299,  510],\n",
      "       [  12,  566,   29, ...,  536,  818,   47],\n",
      "       [ 398,    0,    0, ...,   81,  228,  943]]), array([[  53,  431,   23, ...,    2,  141,   51],\n",
      "       [1788,   58,  555, ...,  269,  295,  337],\n",
      "       [ 214, 1644,  279, ...,   85,  735,  197],\n",
      "       ...,\n",
      "       [ 124,  322, 2209, ...,  121,   41, 1085],\n",
      "       [ 376,   21,  517, ...,   21, 2217, 2218],\n",
      "       [2219,  279,  545, ...,  431,   23,   51]]), array([[ 517, 1104, 1279, ...,  409,    7,  121],\n",
      "       [ 369,  327,   23, ...,   62,   16,  107],\n",
      "       [   7,   80,  151, ...,    0, 2235,   10],\n",
      "       ...,\n",
      "       [ 496, 1407,   50, ...,  270,   27, 1742],\n",
      "       [ 596,    0,   20, ...,  228, 2389, 2674],\n",
      "       [2385, 1411,  100, ..., 1104, 1279,   23]]), array([[1521, 1508,  162, ..., 1014,  842,   27],\n",
      "       [1915,   26,  263, ...,   12,   82, 1925],\n",
      "       [2333,   29,  870, ...,  335,  125,  689],\n",
      "       ...,\n",
      "       [  29, 1921,  863, ...,   12, 1685,  247],\n",
      "       [  61,    0,   81, ...,  343,  136, 3019],\n",
      "       [ 559,    0,  567, ..., 1508,  162, 1356]]), array([[ 578, 2524,   18, ...,  344,  470,  101],\n",
      "       [ 479, 2379,  535, ...,  100,  207,  273],\n",
      "       [  16, 2625,  100, ...,   12,    0,   12],\n",
      "       ...,\n",
      "       [ 227, 1972,  223, ...,  708,   51, 3145],\n",
      "       [ 125,  227,  578, ...,  224,   81,    0],\n",
      "       [  12,    0,   29, ..., 2524,   18, 1541]]), array([[   2,   51, 1391, ...,    0,   23,   10],\n",
      "       [  47, 3327,  136, ...,  526,  478, 2378],\n",
      "       [ 540,  349, 2524, ..., 2816,   23,   10],\n",
      "       ...,\n",
      "       [   0,  224,   14, ...,  224, 2381, 3161],\n",
      "       [  18, 1470, 2664, ...,   67,  224, 2794],\n",
      "       [  12,    0,  498, ...,   51, 1391,    0]]), array([[ 141, 3557, 1132, ..., 1096,  227,    0],\n",
      "       [  61,    0, 3558, ...,  498, 2479,   26],\n",
      "       [ 102,  227,   23, ...,  101, 2380, 2379],\n",
      "       ...,\n",
      "       [1566,   51,   19, ...,  100,  179, 2388],\n",
      "       [  27,  101,  274, ..., 1030,  228, 3134],\n",
      "       [ 136,   55, 1096, ..., 3557, 1132,   10]]), array([[1015,  474,  474, ...,   61,  100, 1590],\n",
      "       [  16, 1308,   67, ...,    7,   21, 1733],\n",
      "       [  23,  815,  769, ..., 1925,  186,  162],\n",
      "       ...,\n",
      "       [3967,  907,  535, ...,   23,   12, 1056],\n",
      "       [  81,  509,  101, ...,   53,  223, 3929],\n",
      "       [3338,   23,    0, ...,  474,  474, 1015]]), array([[1872,  150, 3974, ...,  136,   81,   82],\n",
      "       [1984,   26,  100, ...,   51,    0,  408],\n",
      "       [  12,  239,  909, ...,  100,  738,   88],\n",
      "       ...,\n",
      "       [1162,  136,   55, ...,    2, 3000,    0],\n",
      "       [4162,  337,   41, ...,  325,   12,    0],\n",
      "       [ 111,   12, 2568, ...,  150, 3974, 1703]]), array([[1893,  349,   29, ...,  100,  554,  118],\n",
      "       [2670,   20,    2, ...,   21, 1006,  100],\n",
      "       [ 174, 2977,   16, ...,   81, 1899,   61],\n",
      "       ...,\n",
      "       [ 941, 1075,   97, ..., 1645,   23, 3950],\n",
      "       [4120,   23, 2465, ..., 1521,   71, 3781],\n",
      "       [  36,  204, 3071, ...,  349,   29,  228]]), array([[3769,    0,  100, ...,   39,  761, 4334],\n",
      "       [  23,    7,  165, ...,   12, 4336, 2664],\n",
      "       [ 761,   13,  582, ..., 1000,   23, 1523],\n",
      "       ...,\n",
      "       [ 174,    0, 3788, ..., 1091,    0,   58],\n",
      "       [ 112,  122,   23, ...,  201,   10,   12],\n",
      "       [   0, 4539, 2241, ...,    0,  100, 2809]]), array([[ 946,  101, 1812, ...,  117,   12, 3822],\n",
      "       [ 102,   11,   10, ...,   53,   51, 2716],\n",
      "       [  12, 4544,   29, ...,   12, 1438,  100],\n",
      "       ...,\n",
      "       [ 226, 2443, 2386, ...,   12, 3510,   29],\n",
      "       [   0,   53, 2416, ..., 1419,   50,  100],\n",
      "       [ 262,   12, 2251, ...,  101, 1812,   53]]), array([[   0, 3781,   36, ..., 4699,  136, 1872],\n",
      "       [4291, 4291,  274, ...,  534, 1068,   23],\n",
      "       [ 524,  101,  239, ...,  219,   61, 2105],\n",
      "       ...,\n",
      "       [4764,  100,  382, ...,  105, 1364, 4786],\n",
      "       [  97,   18,  274, ...,  265, 4764,   12],\n",
      "       [2377,  101,  264, ..., 3781,   36, 2427]]), array([[ 101, 1023, 4786, ...,  227,   85,  228],\n",
      "       [4842,  662,   23, ...,  894,  246,   85],\n",
      "       [ 118,    6,   85, ...,  174,  141, 2426],\n",
      "       ...,\n",
      "       [  90,   12, 3306, ...,   23,    0,    0],\n",
      "       [  85, 5014,   67, ...,    0,   23, 2995],\n",
      "       [2053, 4975,  446, ..., 1023, 4786, 1162]]), array([[2377, 4730, 1276, ..., 1021,    7,   74],\n",
      "       [  88,  818,  910, ...,   12, 2732,    0],\n",
      "       [  21, 4590,   81, ...,  272,    0, 3425],\n",
      "       ...,\n",
      "       [  29,  223, 4928, ...,   29,  790,    0],\n",
      "       [ 151,    2,   62, ...,  266,   88,    0],\n",
      "       [1284,   12, 1466, ..., 4730, 1276,  251]]), array([[ 148,   88,   20, ..., 4896, 5155, 5156],\n",
      "       [ 349,  100,  174, ...,  349,  638,   12],\n",
      "       [ 864,  509,  421, ...,  534, 1128,  465],\n",
      "       ...,\n",
      "       [1064,  100, 1064, ..., 1671,  129,   12],\n",
      "       [   0,   29,   55, ...,  250,   23,  141],\n",
      "       [  12, 4265,   26, ...,   88,   20,   21]]), array([[ 232, 1683,  101, ...,    0,   29,   18],\n",
      "       [3202, 4741, 2037, ..., 1093, 2513,    0],\n",
      "       [  50,   12,  621, ..., 1973,    0, 1972],\n",
      "       ...,\n",
      "       [  88, 1346,  227, ..., 2243,  337,  272],\n",
      "       [ 227,   31,   12, ...,  118,   23, 5378],\n",
      "       [  88,  337,   81, ..., 1683,  101, 4764]]), array([[ 102,   20, 3612, ...,  105,  136,  337],\n",
      "       [  81,   12,  424, ...,  842,   50,   10],\n",
      "       [3316,  227,  124, ...,   29,    0, 1340],\n",
      "       ...,\n",
      "       [ 967,  204,  106, ..., 1321,  227,  174],\n",
      "       [5465,   67,  509, ...,    0, 3385,  233],\n",
      "       [ 101,  644, 1475, ...,   20, 3612, 2416]]), array([[  19,   29,  509, ...,  189,   12,  883],\n",
      "       [1328,   21,  823, ...,   61, 5296,   29],\n",
      "       [5295,   88, 2127, ...,  274,   10, 1032],\n",
      "       ...,\n",
      "       [1752, 2398, 1847, ...,   47,   14,  227],\n",
      "       [5154,  118,    7, ..., 2498, 3249,   30],\n",
      "       [   7,  922,   10, ...,   29,  509,  279]]), array([[5554,   23, 1593, ...,  328,   67,   16],\n",
      "       [4087,  341,  710, ..., 5296,   29, 5293],\n",
      "       [  23, 5299,   29, ...,  228, 1733,  263],\n",
      "       ...,\n",
      "       [ 729,   82, 2526, ...,  105,  219,    0],\n",
      "       [   2,  228, 4029, ...,  295,  107,  701],\n",
      "       [ 498, 5643, 1133, ...,   23, 1593,  540]]), array([[  12,  639,    6, ...,  101,  506,  100],\n",
      "       [  14,    0,    0, ..., 1132,   17,   18],\n",
      "       [5416,   55,  197, ..., 5008,    0, 5643],\n",
      "       ...,\n",
      "       [ 337, 1869,  102, ...,  335, 2398, 5699],\n",
      "       [5640,   85,   51, ...,   47,  100,  219],\n",
      "       [   0,  107,  227, ...,  639,    6,   12]]), array([[  10, 1180,  228, ...,  214,    0,  578],\n",
      "       [ 212,  744, 5631, ...,  228, 1132, 2701],\n",
      "       [5638,  100, 1590, ...,   23, 5761, 5631],\n",
      "       ...,\n",
      "       [ 100,  148,  214, ...,   12, 3238,   61],\n",
      "       [ 232, 1683,   18, ...,   96, 5637,   27],\n",
      "       [2404, 2465, 1093, ..., 1180,  228,    0]]), array([[3085, 5637, 3085, ...,  272,    0, 1287],\n",
      "       [1807, 5643,   50, ..., 2671, 2971, 5643],\n",
      "       [ 227,  272, 3117, ...,  355,   26,  100],\n",
      "       ...,\n",
      "       [  85,  967,  863, ...,    2,   69,    0],\n",
      "       [  81,  569,   23, ..., 1798,  856,  125],\n",
      "       [   7,  710,    0, ..., 5637, 3085, 2404]]), array([[5861,  932, 4007, ...,  588,    0,  115],\n",
      "       [ 874,  898,  111, ...,  101,    0,    0],\n",
      "       [ 207,    0,  101, ...,  555,  118,  349],\n",
      "       ...,\n",
      "       [ 208,  224, 1096, ..., 2404,  224, 2794],\n",
      "       [ 107,   78,  729, ...,  127,  214,   14],\n",
      "       [ 328,   29,  322, ...,  932, 4007,  107]]), array([[ 322, 1991, 1315, ...,   29, 3028, 1531],\n",
      "       [  81,   18, 1521, ...,   29,    0,  498],\n",
      "       [5954, 1004,   23, ...,   18,  604, 5777],\n",
      "       ...,\n",
      "       [  51, 2387,   51, ...,  184,   12, 3697],\n",
      "       [ 174, 5451,   12, ...,  150,   55,  387],\n",
      "       [   0,  376,  100, ..., 1991, 1315, 5954]]), array([[ 308,  505,   10, ...,  100,  534,  451],\n",
      "       [   7,   30, 1207, ...,    0,  387, 2398],\n",
      "       [  85,  967, 1869, ...,   29,   26, 5657],\n",
      "       ...,\n",
      "       [ 227,   53, 3191, ...,  343,    0,   29],\n",
      "       [   0,   23, 3670, ...,  101, 3894,  842],\n",
      "       [  88, 3471,  961, ...,  505,   10,    0]]), array([[6124,    2,  604, ..., 2340,  294, 6125],\n",
      "       [  23,  399,    0, ..., 6088,  932,   61],\n",
      "       [ 673,    0,  107, ...,  272,  818,  107],\n",
      "       ...,\n",
      "       [ 973, 6201, 2398, ..., 2450, 1004,   10],\n",
      "       [  38,   42, 3080, ...,  227, 1029,  328],\n",
      "       [ 417,  359,    0, ...,    2,  604,  125]]), array([[ 573,   81,    0, ...,  932, 1385, 6205],\n",
      "       [6107,   10,  973, ...,  359,  452, 2404],\n",
      "       [ 227,  555,  118, ...,   86,  227,  125],\n",
      "       ...,\n",
      "       [3444,  317, 1607, ...,  101,  482,  554],\n",
      "       [  88,  588, 4400, ..., 6092, 1162,  100],\n",
      "       [ 207,   11,   23, ...,   81,    0,  100]]), array([[   0,   29,   12, ..., 6088,   26,  850],\n",
      "       [1207,  201,  101, ...,  540,   21,    0],\n",
      "       [ 204,   20,    0, ..., 3208,   23,   10],\n",
      "       ...,\n",
      "       [   0, 2278,   27, ...,   53, 6053, 2447],\n",
      "       [6075,   97,    7, ...,  819,    0,  115],\n",
      "       [ 223, 4013,   10, ...,   29,   12, 6065]]), array([[ 111,   47,   51, ...,  240,   55, 1071],\n",
      "       [3245, 6246,   81, ..., 2966,   81, 6081],\n",
      "       [2127, 2398, 6078, ...,  996,   29,  138],\n",
      "       ...,\n",
      "       [ 236,  105,  911, ..., 4562, 4535, 6088],\n",
      "       [1686, 1033,    7, ...,  272,  596, 1354],\n",
      "       [  23,  291,  216, ...,   47,   51,  434]]), array([[ 911,    0,   13, ...,    0, 6387,  102],\n",
      "       [  20,    0, 6388, ...,  885,  111,  216],\n",
      "       [ 111, 2833,  571, ...,   12, 1541, 2404],\n",
      "       ...,\n",
      "       [ 359,  951,  588, ...,  100,  738,  100],\n",
      "       [ 578,  295,  350, ...,   81, 6451,  465],\n",
      "       [6451,   18, 3861, ...,    0,   13,   18]]), array([[ 967,  542,  100, ...,   26,  535,   61],\n",
      "       [   0,  233,  911, ...,   55, 3650, 4148],\n",
      "       [  23, 1364,   12, ..., 6451,   82,   17],\n",
      "       ...,\n",
      "       [  88,  101, 2380, ...,   55, 3877,  227],\n",
      "       [  63,   12, 5266, ...,    0,  135,  162],\n",
      "       [4012,  946,   34, ...,  542,  100,  272]]), array([[ 727,  725,  328, ..., 2241,   16, 2451],\n",
      "       [5622,   23, 6442, ..., 2451, 2354, 2361],\n",
      "       [  18,  162, 1050, ..., 5622, 5622, 1921],\n",
      "       ...,\n",
      "       [  39,   12,    0, ...,   48,  421,   29],\n",
      "       [ 227,    6,  227, ...,  141,  101, 3836],\n",
      "       [   0,  141,    0, ...,  725,  328,   23]]), array([[  10,  118,  105, ..., 3966,   29,    0],\n",
      "       [  23,  270,   10, ..., 3234,   88,    0],\n",
      "       [6538,   10,  738, ...,  118,   12,    0],\n",
      "       ...,\n",
      "       [ 101, 2387,  568, ...,  731,  329,   37],\n",
      "       [ 960,   51,    4, ...,   12, 1765, 3791],\n",
      "       [ 223,   23,    0, ...,  118,  105,   18]]), array([[   0, 2018,    2, ...,    0,   23, 5330],\n",
      "       [3843,   50, 3342, ...,    0,  141, 6492],\n",
      "       [  14,  214,  273, ...,  911, 3752,  232],\n",
      "       ...,\n",
      "       [1475,  224, 3497, ...,  208, 1703,  227],\n",
      "       [  85,  238, 2692, ..., 6473,  729,   23],\n",
      "       [ 150,  295,  262, ..., 2018,    2,   12]]), array([[1358,   81,  997, ...,  101, 2380,   85],\n",
      "       [  12,  778,  585, ..., 1944,   10,   20],\n",
      "       [   0,   18,    0, ...,   17,   48, 5202],\n",
      "       ...,\n",
      "       [  26, 3140,  148, ...,    0, 2397,  498],\n",
      "       [2386,   81,  159, ..., 2156,    2,   42],\n",
      "       [ 369,  220, 1315, ...,   81,  997,   29]]), array([[4350,    0,  159, ...,   50,    6,   12],\n",
      "       [1063,  387,   10, ...,  136,  263,   88],\n",
      "       [1311,   18, 2389, ...,    0,   23,    0],\n",
      "       ...,\n",
      "       [ 174,   16,  274, ...,   12, 2357,   10],\n",
      "       [ 980, 6442,   12, ..., 1685, 2738, 6471],\n",
      "       [ 224,   81, 3723, ...,    0,  159,    0]]), array([[1765, 1287,  227, ...,    7, 6754,  933],\n",
      "       [ 118,   23,  101, ...,  521, 4300,  694],\n",
      "       [   0,  102,  120, ...,   85, 1088,  387],\n",
      "       ...,\n",
      "       [  23, 3105,  107, ...,   10, 5067,   23],\n",
      "       [ 150,  295, 6500, ...,   12, 3326,   29],\n",
      "       [  12, 1234,  337, ..., 1287,  227,   26]]), array([[  12,   28,   29, ...,  221,   51, 1358],\n",
      "       [ 224,  102,   88, ...,  291,  223,   33],\n",
      "       [ 224,  389, 2326, ...,  540,   10, 6096],\n",
      "       ...,\n",
      "       [3596,  863, 4612, ..., 6893, 6786,  107],\n",
      "       [ 907,  142,    0, ...,  100,  534,   18],\n",
      "       [   0,   29,    0, ...,   28,   29,   47]]), array([[ 100,  272,  770, ...,   47, 1073,    7],\n",
      "       [   0,   50,  908, ...,  465,  142,   50],\n",
      "       [1073,  319,  349, ...,  417, 4381, 6784],\n",
      "       ...,\n",
      "       [2450, 6771,   88, ..., 3571,   53,   21],\n",
      "       [   0,    6,    7, ...,  856,   10, 1749],\n",
      "       [3109,  111,   20, ...,  272,  770,  908]]), array([[ 169,   23,  204, ...,   53,  907,  102],\n",
      "       [3133,  272, 1187, ...,  371,   26,    7],\n",
      "       [  74, 1132,    0, ..., 3349,   29,   21],\n",
      "       ...,\n",
      "       [  10,   12, 3113, ...,  240,  223,  204],\n",
      "       [1425, 6783,   88, ...,   55,  328,   29],\n",
      "       [ 554,   23,  139, ...,   23,  204,   10]]), array([[ 150,   55,   20, ...,  911, 5526, 1984],\n",
      "       [   0,  101, 2559, ...,   12,    0, 1720],\n",
      "       [   0,   23, 1048, ..., 1685,    6,  227],\n",
      "       ...,\n",
      "       [1117, 3248,  111, ...,  112,    0,   23],\n",
      "       [2556,   18,  437, ...,   55, 6821,  100],\n",
      "       [   0,  223, 1810, ...,   55,   20,  818]]), array([[  55,   85,   12, ...,  214,  266,   53],\n",
      "       [2849,  224,   26, ..., 6758, 6767, 6768],\n",
      "       [  23,   64,   85, ...,  911,  898,  550],\n",
      "       ...,\n",
      "       [ 209,  100, 1856, ..., 1695,  100,  272],\n",
      "       [  12, 2528,   53, ..., 1163,   23,  987],\n",
      "       [ 911,  346,   23, ...,   85,   12,    0]]), array([[1580,    0,   46, ...,   29, 1692, 2380],\n",
      "       [6788,   12,  205, ..., 3748,  417,    0],\n",
      "       [ 907,  263,   51, ...,   85,  643, 6962],\n",
      "       ...,\n",
      "       [  23,  148,  863, ...,   23,    0,   12],\n",
      "       [1521,  160, 2522, ...,   81,  509, 3703],\n",
      "       [5463,    0, 2404, ...,    0,   46,   85]]), array([[2840,  842,    0, ..., 5349,  227, 2056],\n",
      "       [2056, 2411, 1096, ...,    0,    6,   42],\n",
      "       [1572, 1749,  552, ..., 1137, 4448,  540],\n",
      "       ...,\n",
      "       [ 557, 2404,  100, ...,  398,    0, 1023],\n",
      "       [ 350,    0,  159, ...,   18,  434,  815],\n",
      "       [ 392,  246,   18, ...,  842,    0, 2329]]), array([[ 274, 2629, 5468, ..., 2639,  387, 2404],\n",
      "       [3331,  125, 1073, ...,   29,  227, 2639],\n",
      "       [2404, 3331, 2404, ...,   18,  491,    0],\n",
      "       ...,\n",
      "       [  88,   51, 2710, ...,   23,    7,  710],\n",
      "       [1823,  223, 6770, ...,  274, 1425,   29],\n",
      "       [  51,    0, 1430, ..., 2629, 5468, 1411]]), array([[   2,   12, 1229, ...,   85, 4818,  575],\n",
      "       [ 136, 6770,   23, ...,    0,    0,  111],\n",
      "       [3170,    0, 7009, ..., 4434, 1685,   82],\n",
      "       ...,\n",
      "       [   2, 5292,   33, ..., 4153,   29,    0],\n",
      "       [  53,  227, 2639, ...,   48,  907,  102],\n",
      "       [  20, 3086,  349, ...,   12, 1229,   29]]), array([[  88,  129, 5395, ...,   12, 6530, 2670],\n",
      "       [4557,   18,    0, ..., 2639, 1162,  465],\n",
      "       [2418,   18, 1685, ..., 6784,  588,   61],\n",
      "       ...,\n",
      "       [   2, 2063, 1071, ..., 1346,   64,   17],\n",
      "       [4676, 2860, 4077, ...,  201,   12, 1394],\n",
      "       [  12,  639,    0, ...,  129, 5395,   21]]), array([[2815,  387,   10, ...,   10, 2376,  101],\n",
      "       [2976, 1087,  228, ...,  930,   29,    0],\n",
      "       [  23, 2009, 1685, ...,  111,  465, 2954],\n",
      "       ...,\n",
      "       [   0,   29,    0, ...,  227,  204,    0],\n",
      "       [1879,   23, 1376, ...,   17,   18, 3737],\n",
      "       [  26,    6,    0, ...,  387,   10,  123]]), array([[ 778,  494,  127, ...,  907,   14,  305],\n",
      "       [  29,  136, 2692, ...,  227,  112,  694],\n",
      "       [1096,  101, 1685, ..., 1315, 5091,   29],\n",
      "       ...,\n",
      "       [  10,  228, 2978, ..., 2451, 2354, 2367],\n",
      "       [  12, 2383, 2366, ...,   12,  160, 1191],\n",
      "       [  29, 6212, 6123, ...,  494,  127,   12]]), array([[  88,   98,  101, ...,  742,   33,  224],\n",
      "       [ 391,   55,   12, ...,  442,   23, 1063],\n",
      "       [1093,  785,    0, ...,   17,   12, 2768],\n",
      "       ...,\n",
      "       [  55, 7185,  590, ...,   81, 2838,   12],\n",
      "       [1112,   29,    0, ...,   23,  266,    0],\n",
      "       [  81, 2250,    0, ...,   98,  101, 1191]]), array([[  51, 2904,  107, ...,   12,   13,   50],\n",
      "       [ 907,    2,   55, ...,  214,  142,   88],\n",
      "       [ 232,   23,  241, ..., 4071,    6,  911],\n",
      "       ...,\n",
      "       [5654,  854, 7343, ...,   62,   55,  279],\n",
      "       [ 228, 1908,   23, ..., 7343,    7,    8],\n",
      "       [  11, 7189,  227, ..., 2904,  107, 4427]]), array([[5281,  100, 2243, ...,   55,   81,  274],\n",
      "       [  53,  228,  200, ...,  162, 3975,   10],\n",
      "       [ 228, 7311,  465, ..., 2243,  227, 1345],\n",
      "       ...,\n",
      "       [   0, 2398,  116, ..., 7327,  842, 4588],\n",
      "       [  12, 5278,  815, ...,   10,    0,   51],\n",
      "       [ 317,  224, 2409, ...,  100, 2243,  227]]), array([[1250,   23, 5689, ..., 4219,  328, 5342],\n",
      "       [  23,    0,  946, ..., 1720, 2089,   23],\n",
      "       [   0,    0,  142, ..., 2202, 1364,   53],\n",
      "       ...,\n",
      "       [ 852,   12,  585, ...,  112,  113, 1317],\n",
      "       [2763,  812, 3022, ..., 1836, 7054,   47],\n",
      "       [  18, 5820,  224, ...,   23, 5689,    0]]), array([[4974, 6263,   67, ...,   23,   51,    0],\n",
      "       [  33, 2613,    2, ..., 1745,  125,   29],\n",
      "       [ 136, 4635,    0, ..., 4670,   42,  639],\n",
      "       ...,\n",
      "       [6312, 4758, 2250, ...,  125,  624,    0],\n",
      "       [ 379,   26,   42, ..., 2713, 4758,   12],\n",
      "       [   0,   29,  911, ..., 6263,   67,   12]]), array([[ 174, 5807,   67, ...,  615,   29, 2376],\n",
      "       [2447,   48, 3412, ...,   69,   18, 3681],\n",
      "       [2465,  997,   29, ...,  150,   27,  642],\n",
      "       ...,\n",
      "       [   0,   29,  339, ...,   67,  101, 3184],\n",
      "       [1191,   23,  815, ...,   18, 1279,   29],\n",
      "       [ 118,   12,   13, ..., 5807,   67,   12]]), array([[  10,   11, 3331, ...,  535, 1523, 3146],\n",
      "       [ 954,  849,   12, ...,   23, 1200,  149],\n",
      "       [ 232,   67,  101, ...,   50,   88,   10],\n",
      "       ...,\n",
      "       [ 694,   26,    2, ...,   23, 2933,    1],\n",
      "       [   7,    8,   20, ...,    0, 4758,  588],\n",
      "       [ 987, 1545,   26, ...,   11, 3331, 7327]]), array([[   0,  125,  100, ..., 3100,  124,  911],\n",
      "       [7117,   88,   29, ...,   12,  297,   55],\n",
      "       [  81,  228,    0, ..., 1132, 6095,  227],\n",
      "       ...,\n",
      "       [   0,  107,  159, ...,    0,    0,  159],\n",
      "       [  14,  956,   10, ...,  907,  272, 1048],\n",
      "       [2377, 7010,    2, ...,  125,  100,  272]]), array([[7363, 7495, 7184, ...,   20, 3005,   29],\n",
      "       [  12,   52,  150, ...,  108,  535,   21],\n",
      "       [4938, 7012, 7012, ..., 5180,  735,  535],\n",
      "       ...,\n",
      "       [ 118,  100, 2243, ...,   21,  479,   36],\n",
      "       [7488, 4448,  100, ...,  112,   16,   85],\n",
      "       [  18, 5142, 2069, ..., 7495, 7184, 6765]]), array([[   2,    0,  856, ...,  297,   23, 6969],\n",
      "       [  29,  136,  639, ...,    0, 1275,   85],\n",
      "       [  51, 7110,    0, ...,    0, 3904,  236],\n",
      "       ...,\n",
      "       [7329,   47,    0, ...,    0, 1749,  911],\n",
      "       [1770,  343,   18, ...,    2,   12,    0],\n",
      "       [   0,  148,   88, ...,    0,  856, 7111]]), array([[   2,   12, 4405, ...,  254,  101,  482],\n",
      "       [  23,  319,   85, ...,   23, 3822,  118],\n",
      "       [ 107,    0,    0, ..., 7012, 7184,   23],\n",
      "       ...,\n",
      "       [  30,    7,   18, ...,  223,   85,   51],\n",
      "       [ 466,   23,    0, ...,   16, 1075,  224],\n",
      "       [ 102,   20,    0, ...,   12, 4405,   23]]), array([[2710,   85, 3145, ..., 1795,  542, 1612],\n",
      "       [ 111,   11, 7493, ...,    1,   18,    0],\n",
      "       [  74,    7,   88, ..., 7493, 1004, 2278],\n",
      "       ...,\n",
      "       [  37,   11, 7495, ...,   68, 1107,  228],\n",
      "       [2978, 1685, 6758, ..., 1153,  946,   12],\n",
      "       [ 108,   29,   18, ...,   85, 3145,   23]]), array([[3623,  722,  273, ..., 7495,   61,  709],\n",
      "       [  55,  227,  101, ...,   69,   18,  166],\n",
      "       [  23, 1093,  120, ...,  223,   10,   51],\n",
      "       ...,\n",
      "       [   7,    0,   21, ...,  295,  613,   23],\n",
      "       [ 613,  214,  102, ...,  359, 1545, 2427],\n",
      "       [  16,  791, 1685, ...,  722,  273,  118]]), array([[  88, 1709,  694, ...,   23,   17,   48],\n",
      "       [4400,    0,   67, ..., 2355, 6670,    0],\n",
      "       [7153, 6348,   23, ..., 3894,  540, 4974],\n",
      "       ...,\n",
      "       [1133,   10,    0, ...,  227, 3730, 6946],\n",
      "       [  10,  911, 1795, ...,   23,    2,   26],\n",
      "       [3894,  510,   55, ..., 1709,  694, 2451]]), array([[ 809, 3168, 1880, ...,  280, 1685, 6758],\n",
      "       [1162, 2529,  101, ..., 7598, 7599,    0],\n",
      "       [7153,  349, 2118, ..., 7153,  100,  534],\n",
      "       ...,\n",
      "       [ 432,  322, 2401, ..., 5700, 6348,   23],\n",
      "       [7104,  350, 2203, ..., 1685, 7153,  204],\n",
      "       [2427,  228,   43, ..., 3168, 1880,  223]]), array([[ 118,    6,  100, ..., 2480, 2450, 2149],\n",
      "       [1162,  204,  100, ...,  101, 1498, 1685],\n",
      "       [7153,   48, 1896, ...,   81,  154,  159],\n",
      "       ...,\n",
      "       [1004,    2,  472, ...,   85, 2383, 2396],\n",
      "       [7012,  561,  118, ...,  106, 7009, 1276],\n",
      "       [1107, 7012,   23, ...,    6,  100,  240]]), array([[  20,  121,   23, ...,  107, 7645,   23],\n",
      "       [1397,    0,    0, ..., 3319,  223,  227],\n",
      "       [  26,   14, 2241, ...,   10, 1160,   12],\n",
      "       ...,\n",
      "       [  12, 1765,  124, ...,  118,   88,   53],\n",
      "       [2710,    6,    7, ...,    0,  118,   10],\n",
      "       [ 101, 2481, 2710, ...,  121,   23,  349]]), array([[  23,  221, 2489, ...,    0, 1685, 7153],\n",
      "       [ 694,  673,  911, ...,  151, 2268,   26],\n",
      "       [  12,    0, 2310, ..., 7422,   88,   18],\n",
      "       ...,\n",
      "       [7673,  247,  954, ...,   26,   12,    0],\n",
      "       [   0,   23, 2376, ...,   50,   33,   12],\n",
      "       [ 856,  842,    0, ...,  221, 2489,   53]]), array([[ 369, 1425, 7598, ...,  228, 1827, 5518],\n",
      "       [6294,   55, 5518, ...,  534,    0,  179],\n",
      "       [ 227, 4782,  124, ..., 3010,   97,  101],\n",
      "       ...,\n",
      "       [2377,   23, 3782, ...,  251,  986,  105],\n",
      "       [ 136,  498, 3177, ...,  100,  534, 2855],\n",
      "       [ 227,  102, 2404, ..., 1425, 7598,  100]]), array([[6026,  151,    0, ...,  274, 1765,   84],\n",
      "       [ 223,   85,   18, ...,  136,   81, 1710],\n",
      "       [1315, 3177,  100, ..., 2354, 2355,   48],\n",
      "       ...,\n",
      "       [1508,    0,   29, ...,  114,   61,   50],\n",
      "       [ 540,   10,  115, ...,  377,    0,   53],\n",
      "       [  69,  317,  111, ...,  151,    0, 1444]]), array([[1388,  228, 2021, ...,  945, 1490, 2672],\n",
      "       [ 101,  729,  214, ..., 2404, 7688,  555],\n",
      "       [ 228, 1334, 1163, ...,  356,   53,  885],\n",
      "       ...,\n",
      "       [5189,   10,  228, ...,    0,    0,  337],\n",
      "       [  12, 4802, 1029, ...,  630,   10,    0],\n",
      "       [ 337,  159, 1527, ...,  228, 2021,   23]]), array([[5981, 1839,    0, ...,   12, 5834,    0],\n",
      "       [  85,   12, 1955, ...,  660,    0,    0],\n",
      "       [   0,   18,  198, ...,   12, 4459, 3782],\n",
      "       ...,\n",
      "       [ 102,  262,   78, ...,  100,  179,  228],\n",
      "       [  59,  588,  101, ...,  715,  993,  100],\n",
      "       [ 382,  266,  162, ..., 1839,    0, 7340]]), array([[ 228,  274,  603, ...,  174,   88,  100],\n",
      "       [ 262,  227,   53, ..., 2055,    4,  417],\n",
      "       [7603,  136,   81, ..., 2357, 2692,    0],\n",
      "       ...,\n",
      "       [   0,   10,    0, ...,  369, 1026,  165],\n",
      "       [4229,  509,  253, ...,   81,  791,  204],\n",
      "       [ 274,  101, 2387, ...,  274,  603,  417]]), array([[ 842,    0,  115, ...,   88,  356,   18],\n",
      "       [ 811,  264,  238, ...,  279,   38,   51],\n",
      "       [4635,  482,  124, ...,   10, 1310,  387],\n",
      "       ...,\n",
      "       [1184, 6532,  136, ...,   50,   53, 1021],\n",
      "       [ 224,   58,   88, ...,  266,  465,   81],\n",
      "       [  27, 1359,   50, ...,    0,  115, 1254]]), array([[7728, 7073,   23, ...,  242,   55,  954],\n",
      "       [  20,    7,  710, ...,    0,  118,   53],\n",
      "       [ 100,  534, 1583, ...,   14, 6213,   23],\n",
      "       ...,\n",
      "       [2333,  475, 7247, ..., 2109,   12, 1991],\n",
      "       [  29,    0,   98, ..., 6053,    6,   50],\n",
      "       [  18, 3619,    0, ..., 7073,   23, 7184]]), array([[ 322, 2070,  349, ..., 6445, 2398, 7721],\n",
      "       [  23,  908, 7730, ...,  643,  228, 2919],\n",
      "       [  14,  246,  328, ..., 3596,  107,   37],\n",
      "       ...,\n",
      "       [ 101, 1239,   26, ...,   10,   12, 7386],\n",
      "       [ 208,  100,   10, ...,   81,   50, 4762],\n",
      "       [2398,   12, 1442, ..., 2070,  349,   26]]), array([[7034,  308,  385, ..., 4782,  149, 1685],\n",
      "       [3331,   26, 4087, ...,    0,   12, 1071],\n",
      "       [  29,   18, 1964, ...,    0,   17,   12],\n",
      "       ...,\n",
      "       [7788,   18,  610, ..., 1175, 3802,   10],\n",
      "       [2333, 7784,   53, ..., 1285,   34, 3082],\n",
      "       [  20,   24, 1531, ...,  308,  385,   29]]), array([[4119,   18, 3805, ...,   81,   18,    0],\n",
      "       [ 150,  967,  973, ...,  150,  118,   88],\n",
      "       [3333, 4120,  228, ..., 4119, 4120,   20],\n",
      "       ...,\n",
      "       [ 111,  911, 1163, ..., 2137,  223,  100],\n",
      "       [ 738,  224,   14, ...,   51, 2832, 5456],\n",
      "       [ 911,  705,  911, ...,   18, 3805, 1114]]), array([[  88, 2472, 7786, ...,  295,   37,   36],\n",
      "       [2761,   61,    0, ..., 4771,   29, 3338],\n",
      "       [ 150,  967,   20, ...,   23,  106,  729],\n",
      "       ...,\n",
      "       [   0, 1307,  118, ...,  111,  102,  907],\n",
      "       [  67,   23,   88, ..., 4119,  111,  301],\n",
      "       [ 142,  136,   18, ..., 2472, 7786,  102]]), array([[2040,   18,  772, ...,   26,  125,  224],\n",
      "       [  14, 3715, 4119, ...,   23,  900, 7312],\n",
      "       [  55,  102, 1425, ..., 3338,   23,  266],\n",
      "       ...,\n",
      "       [1068,  247,  359, ...,  240,  118,  228],\n",
      "       [ 478, 4119,   23, ..., 3477,  738,  228],\n",
      "       [2387, 4419,   23, ...,   18,  772,  863]]), array([[  50,  434,  102, ...,    0,  348, 4119],\n",
      "       [2427,  227,  226, ..., 1285,   12,    0],\n",
      "       [  10, 3261,  322, ..., 1713, 4120,   29],\n",
      "       ...,\n",
      "       [  26,    0,    2, ...,  136,  475, 5957],\n",
      "       [2387,  382,  490, ...,   39, 3111,   29],\n",
      "       [3141,  238,  147, ...,  434,  102,  332]]), array([[2713, 3177, 6775, ...,  958,  996,   23],\n",
      "       [ 149,  224,  102, ..., 1440,  465,  262],\n",
      "       [  26,  907,  272, ...,   18,  294,   14],\n",
      "       ...,\n",
      "       [  55, 7829,  272, ...,  908,    0,   10],\n",
      "       [  18, 2054, 6866, ...,  359,   12, 7499],\n",
      "       [  29,   51,    0, ..., 3177, 6775, 6775]]), array([[  52,  223,  232, ...,    0, 6866,  136],\n",
      "       [  81,   88, 3471, ...,   23,  815,  240],\n",
      "       [  16,    0, 7812, ...,  552,  189,   12],\n",
      "       ...,\n",
      "       [ 725,  228,  265, ..., 6522, 4270,  392],\n",
      "       [ 595,   12, 1201, ..., 2392, 6866,   85],\n",
      "       [  12, 3248, 2404, ...,  223,  232,   39]]), array([[ 205,    7,  979, ..., 2529, 5805,  150],\n",
      "       [ 208,   21,  241, ...,   55,  209,   18],\n",
      "       [1291,  439,   55, ...,   26, 2235,  149],\n",
      "       ...,\n",
      "       [ 929,   12, 2629, ..., 6076,  491, 2451],\n",
      "       [2354, 2361,   18, ...,  842,   88, 3471],\n",
      "       [ 228, 4775,    0, ...,    7,  979,   36]]), array([[  29, 2376,   97, ...,   21,  264,   81],\n",
      "       [  26,  224,   37, ...,   16,   23,    7],\n",
      "       [   8,  291,   18, ...,   14,   88, 1306],\n",
      "       ...,\n",
      "       [  97, 2446,  223, ...,  407,  111,  778],\n",
      "       [2882,  227, 2404, ...,  710,  438,   30],\n",
      "       [1040,  943,    0, ..., 2376,   97, 3697]]), array([[  12,    0,  739, ...,  201,   61,  540],\n",
      "       [ 966, 1137,  227, ..., 4345,  224,  263],\n",
      "       [  18,  622, 6230, ...,  860, 2922,   23],\n",
      "       ...,\n",
      "       [ 399,    2,  127, ...,   41, 6775,    7],\n",
      "       [  30, 3128, 1091, ...,  272,  227,  758],\n",
      "       [ 231,  540,  272, ...,    0,  739,   61]]), array([[ 963,   29,  434, ..., 6369,  223,  124],\n",
      "       [1806, 1093, 4084, ..., 1532,  908, 4236],\n",
      "       [  29,  481,  609, ..., 4071,   10, 4704],\n",
      "       ...,\n",
      "       [ 223,  201, 7868, ...,  272,  818,  238],\n",
      "       [ 102,  179, 7868, ...,   20,  695, 2451],\n",
      "       [7868,   23, 7852, ...,   29,  434,    0]]), array([[ 125,   81, 2293, ..., 5192,   23,  542],\n",
      "       [ 417,  359, 4067, ...,    0,   81,    2],\n",
      "       [  62,  978,  224, ...,   12, 4802,   29],\n",
      "       ...,\n",
      "       [2416, 7870,  227, ..., 1885,  107, 5405],\n",
      "       [  12, 5465,   55, ...,  491, 7871,   48],\n",
      "       [ 100,  954,  954, ...,   81, 2293,    0]]), array([[2450,  150,   12, ..., 3817,  228,  478],\n",
      "       [  81,    2, 7852, ..., 2451, 7871,   23],\n",
      "       [7870, 7852,   39, ...,   12,  123, 1098],\n",
      "       ...,\n",
      "       [   0,    0,    0, ...,    0,   10,  115],\n",
      "       [5552, 5537, 7858, ..., 2404, 2045, 7868],\n",
      "       [2203,   10, 7852, ...,  150,   12, 1468]]), array([[   0,    7,   74, ...,    0,   82, 6371],\n",
      "       [5033,   85,   18, ..., 7752,  349,   39],\n",
      "       [  12, 2719, 5753, ...,    7,    0,   17],\n",
      "       ...,\n",
      "       [  33, 2975, 1687, ...,   10, 7871,   23],\n",
      "       [ 254,   88,    0, ...,  208,  227,  535],\n",
      "       [6117,   11,   33, ...,    7,   74, 7749]]), array([[1276, 1475,  581, ...,   81,  958, 7852],\n",
      "       [  88,   61, 2404, ..., 7860,   39, 3737],\n",
      "       [ 100, 1544, 1106, ...,  534,  107,  214],\n",
      "       ...,\n",
      "       [  12, 7567,   29, ...,   29,  295, 3087],\n",
      "       [ 535,  214, 6345, ...,   20,  748, 7909],\n",
      "       [ 227,  102,   20, ..., 1475,  581,    7]]), array([[  12,    0,  621, ..., 2916,  107,    0],\n",
      "       [3612,   85, 3612, ...,  986,  253,  224],\n",
      "       [2824,  118,  124, ...,   50, 1123, 1040],\n",
      "       ...,\n",
      "       [  12, 1052,   29, ...,   12,  610,  478],\n",
      "       [  29, 1293,  100, ...,  174, 3246,   88],\n",
      "       [5370,   85,  295, ...,    0,  621,   51]]), array([[7906,  136, 6750, ..., 1184,  135,   12],\n",
      "       [6445, 2398, 7912, ...,  731, 2318, 6999],\n",
      "       [  51,  344,  311, ...,   67, 7030, 1438],\n",
      "       ...,\n",
      "       [ 389,   23, 1033, ...,   88, 2780, 6374],\n",
      "       [  20,    0,  517, ...,    0,  274, 4914],\n",
      "       [ 660, 1817, 1093, ...,  136, 6750, 7107]]), array([[ 141, 1164,   10, ...,   23,  764,   51],\n",
      "       [ 482,  387,   17, ...,  239,    0,  463],\n",
      "       [  81,   17,   12, ...,  873,   18,    0],\n",
      "       ...,\n",
      "       [6308,  997,   85, ..., 2759, 3889,    2],\n",
      "       [ 136, 1712, 1192, ...,  204,   81, 2061],\n",
      "       [  27,  162,   55, ..., 1164,   10,  262]]), array([[3208, 7908,   36, ...,  179,   55,  234],\n",
      "       [ 100,  266,   18, ...,   12, 5514,   26],\n",
      "       [ 389,   17,  297, ...,  761, 2831, 2664],\n",
      "       ...,\n",
      "       [2291, 4038,  272, ...,  907,  174,   88],\n",
      "       [ 179,  907, 3067, ...,  224,  207,   11],\n",
      "       [2398, 7936, 3288, ..., 7908,   36,  266]]), array([[7936, 3288,   36, ...,  149,    6,  735],\n",
      "       [  20,  274, 3801, ..., 6982,  100,  174],\n",
      "       [1645,  343, 3015, ...,   29,   23, 7293],\n",
      "       ...,\n",
      "       [ 214,  115, 4655, ..., 1290,  907,  535],\n",
      "       [ 154,   10,   20, ...,    0, 2915,   67],\n",
      "       [  12,    0, 3618, ..., 3288,   36,  290]]), array([[  88, 7203,    6, ...,   23,   82, 5610],\n",
      "       [ 506, 1430, 1430, ...,  227,   23,  101],\n",
      "       [  52, 2475,  761, ...,  214, 2175,   53],\n",
      "       ...,\n",
      "       [  53,  118,  232, ...,  100,   14,  129],\n",
      "       [ 343,  227,  826, ...,   26,    0,   81],\n",
      "       [  18,    0,    0, ..., 7203,    6,  227]]), array([[ 292,  291,  136, ..., 1132,   18,   93],\n",
      "       [2475,  761, 1036, ...,  270,  154,  987],\n",
      "       [  10,    0, 1541, ...,  174,   23,  272],\n",
      "       ...,\n",
      "       [ 107,   17,  107, ...,  224,  263,   61],\n",
      "       [2727,  224,  148, ...,   23,   85,    0],\n",
      "       [   0,   12,  275, ...,  291,  136,  856]]), array([[ 223,   61, 1356, ...,   18,    0, 7682],\n",
      "       [ 100,  174,   88, ...,  136, 7682,   20],\n",
      "       [1028, 7934,   50, ..., 1414, 5669,  228],\n",
      "       ...,\n",
      "       [  29,  101,    0, ...,  159,   81,  249],\n",
      "       [  23,  103,  105, ...,   42,    0,    0],\n",
      "       [  67,   42, 5919, ...,   61, 1356,  967]]), array([[   0,  100,   94, ...,   10, 7949,   10],\n",
      "       [ 249, 7785,  208, ...,  308,  585,   81],\n",
      "       [   0,   29,  136, ...,  542,   10,   20],\n",
      "       ...,\n",
      "       [ 735, 2222, 1882, ..., 7958,    6,    7],\n",
      "       [  38,  851,  100, ...,  272,   88,  154],\n",
      "       [ 274, 4238, 7954, ...,  100,   94,    0]]), array([[1731,   12, 2208, ..., 7968,   39,  228],\n",
      "       [ 973, 2404, 7958, ...,   53,  136, 7762],\n",
      "       [3022,  100,  534, ...,  249, 7971, 7958],\n",
      "       ...,\n",
      "       [ 326,  270,  343, ...,  516,  295,    0],\n",
      "       [  26,  326,   82, ..., 3105, 1056,   12],\n",
      "       [  91,    0,   48, ...,   12, 2208, 7968]]), array([[   7, 7558, 1009, ...,   97,   62,   20],\n",
      "       [2433, 6026,   21, ...,  939, 6098,   67],\n",
      "       [  12, 3081,   29, ...,   42,   41, 4795],\n",
      "       ...,\n",
      "       [   0, 1653,  136, ...,  153,   81,   12],\n",
      "       [2155,  227, 2241, ..., 3502, 7963,   67],\n",
      "       [  47, 3323,  207, ..., 7558, 1009,  125]]), array([[1764, 2477,  811, ...,    0,   10, 1293],\n",
      "       [  68,   23,  394, ...,  879,   29, 2259],\n",
      "       [ 100,  272, 2418, ...,   88, 1660,   10],\n",
      "       ...,\n",
      "       [  51,  434,   29, ...,   23,  907,   14],\n",
      "       [1741,  141,  521, ...,    0,  100,  142],\n",
      "       [   0,   85,   12, ..., 2477,  811,  105]]), array([[2354, 2360,   18, ...,    2, 7990,  250],\n",
      "       [2354, 2360,   18, ...,    2,   12, 3054],\n",
      "       [5328, 2354, 2365, ..., 1892,   10,    0],\n",
      "       ...,\n",
      "       [ 349,   18,  945, ...,  100, 3942, 3942],\n",
      "       [ 204, 2278,  162, ...,   62,  118,   39],\n",
      "       [ 118,  121,  369, ..., 2360,   18, 1254]]), array([[  18,  475, 3291, ...,  983,  118, 1162],\n",
      "       [   0,   18, 5132, ..., 1892,   23,  561],\n",
      "       [ 118,  100,  842, ...,   12, 1362,   97],\n",
      "       ...,\n",
      "       [ 227,   53, 7351, ...,  150,  967, 6646],\n",
      "       [ 204, 4147,  387, ...,  866, 1419, 2488],\n",
      "       [2404,   12,    0, ...,  475, 3291,   47]]), array([[  29,   45,  100, ...,    0,   29,    0],\n",
      "       [  18,  622, 1750, ..., 7225, 7991, 1368],\n",
      "       [1276,  742,   10, ..., 3055, 2398, 1892],\n",
      "       ...,\n",
      "       [  61, 2404,  197, ..., 5291,   23,  112],\n",
      "       [  51, 3228,   18, ...,  227,  102,  578],\n",
      "       [ 107,  274,  276, ...,   45,  100,    0]]), array([[   0, 2020, 6535, ...,    0,    2,   12],\n",
      "       [4691,   18,    0, ...,  322, 4691,  100],\n",
      "       [   0,    0,  925, ...,  498,   48,    0],\n",
      "       ...,\n",
      "       [2387,  319,  874, ...,   10,   12, 2807],\n",
      "       [ 349,  694,   55, ...,  214,  207,  141],\n",
      "       [  20,  846,   23, ..., 2020, 6535, 4681]]), array([[ 125,  346,  159, ..., 7131,  564, 3301],\n",
      "       [  36, 1733,  228, ..., 6784, 3819,   27],\n",
      "       [ 162,    0,  208, ..., 2427,  227,   18],\n",
      "       ...,\n",
      "       [1885,   62,   81, ..., 3146,  204,   10],\n",
      "       [  12, 2103,   14, ..., 8012, 8013, 3326],\n",
      "       [8014, 8015,   23, ...,  346,  159,   10]]), array([[2377,   23, 7486, ...,   18, 1521,  274],\n",
      "       [3861,   29,  669, ..., 1075,   53, 8016],\n",
      "       [3326,   47,   81, ...,    0, 1461,   10],\n",
      "       ...,\n",
      "       [ 228, 6581,   81, ..., 4448, 1570, 4448],\n",
      "       [ 915, 2451,    0, ...,   17, 1191, 5516],\n",
      "       [7844,  246, 1068, ...,   23, 7486,    0]]), array([[ 228,  369,  174, ...,  219, 3106, 2115],\n",
      "       [ 201,   23, 1075, ...,  663, 3326,  742],\n",
      "       [  12,    0,   12, ...,   61, 8020,  100],\n",
      "       ...,\n",
      "       [ 118,   23,   42, ...,   37,  141,   10],\n",
      "       [3764,  552,  242, ..., 2328,  889,  189],\n",
      "       [3159, 1393,   58, ...,  369,  174,  227]]), array([[  41,  174,    0, ...,  597, 8019, 2137],\n",
      "       [1839,   24, 1839, ...,   29, 4947,  790],\n",
      "       [   0,   85, 8005, ...,  911, 3146,  273],\n",
      "       ...,\n",
      "       [8039, 4833,   10, ..., 7952, 1683,  136],\n",
      "       [6845, 3759, 2706, ...,    0,  746, 1346],\n",
      "       [   0,  100,  291, ...,  174,    0,   51]]), array([[  29,   18, 3202, ...,   61,  359,   26],\n",
      "       [ 609,  382,   88, ...,  105,   10,  609],\n",
      "       [   0, 8039,  100, ..., 7980, 2706,   97],\n",
      "       ...,\n",
      "       [3555,   55,   81, ...,  582,   12,  557],\n",
      "       [  29, 2450, 1595, ...,  223,   18, 4608],\n",
      "       [   0, 2158,  111, ...,   18, 3202,  224]]), array([[  76,    7,  115, ...,  929,   55,  272],\n",
      "       [3664,   51,    0, ..., 1084,   42,  159],\n",
      "       [  81,  359, 3925, ...,  100,  842,   12],\n",
      "       ...,\n",
      "       [  64,  266,    7, ..., 2335,  101, 2380],\n",
      "       [   6,    0,  118, ...,  660,   10,   12],\n",
      "       [ 919,   29,   51, ...,    7,  115,   18]]), array([[8033, 6897,  100, ..., 4654, 3089, 8033],\n",
      "       [ 100,  272,   12, ..., 2794,   55, 6691],\n",
      "       [ 270,  266,  100, ...,  124,    0, 3379],\n",
      "       ...,\n",
      "       [  10,   42,    0, ...,   29,  526,  491],\n",
      "       [   0,   26,  125, ...,   81,  238, 1220],\n",
      "       [1682,    2,   12, ..., 6897,  100,  534]]), array([[ 297,   29,   42, ...,  279,  101, 1439],\n",
      "       [   4, 5350,  118, ...,  136, 1167,  228],\n",
      "       [2392,  232,   12, ...,  136,   47,   14],\n",
      "       ...,\n",
      "       [  50, 2020, 1239, ...,  100,   14, 3595],\n",
      "       [ 223,   18, 1525, ...,   53,  125,   29],\n",
      "       [ 101,  274,  381, ...,   29,   42,  735]]), array([[  14,  917,   55, ..., 8039,   26, 1441],\n",
      "       [   2,   12,  178, ..., 5767,   23,   18],\n",
      "       [4449,    2, 4222, ...,   23,  349,  273],\n",
      "       ...,\n",
      "       [ 157,  534,  100, ...,  100,  863,  162],\n",
      "       [ 105,    0,   10, ...,   69, 3100,  100],\n",
      "       [ 534, 1480, 2334, ...,  917,   55,   53]]), array([[  55,   81,  268, ...,    0,   10,  136],\n",
      "       [ 920,  224,  501, ..., 6678, 1908,  111],\n",
      "       [2176,   55,   39, ...,  174,  241,   29],\n",
      "       ...,\n",
      "       [ 174, 1469,   12, ..., 1350,   61,    0],\n",
      "       [ 268,  954, 1930, ...,  417,  115,   12],\n",
      "       [6651, 1590,  118, ...,   81,  268,    0]]), array([[  55,   81, 8046, ..., 2208,   55,   81],\n",
      "       [  12, 7704,   29, ..., 5292,    2,   12],\n",
      "       [6445, 2398, 8045, ..., 6779,  274,  183],\n",
      "       ...,\n",
      "       [  89,  233,   21, ...,  890,   26,  535],\n",
      "       [  88, 4554,  228, ...,   47,  710,    7],\n",
      "       [2568, 8049,  274, ...,   81, 8046,  508]]), array([[ 118,   29,   26, ...,   12,    0, 4790],\n",
      "       [ 125,   49,    0, ...,   50, 1679,    0],\n",
      "       [  81,  107,  639, ...,   10,   20,  624],\n",
      "       ...,\n",
      "       [1167,   81,  811, ..., 8049,  350,  227],\n",
      "       [3843, 4362, 1641, ...,   12,  125,  224],\n",
      "       [2945,  174,   50, ...,   29,   26,  125]]), array([[ 228,   19,  100, ..., 2529,   88,  892],\n",
      "       [  50,  270,   38, ...,  123,  224,   33],\n",
      "       [ 224, 3270,   29, ...,  227,  240,  118],\n",
      "       ...,\n",
      "       [ 915, 2882,  956, ...,  535,    0,   21],\n",
      "       [ 663,    0,  102, ...,   18, 1040,  183],\n",
      "       [ 735,   37,   20, ...,   19,  100,  266]]), array([[3082,   81,  136, ..., 2629, 8049,   47],\n",
      "       [ 535,  227,  232, ..., 8058,   23, 7959],\n",
      "       [  47,  535,  227, ...,  576,   81,  136],\n",
      "       ...,\n",
      "       [ 107,  735,  335, ...,  100,  534,   27],\n",
      "       [   0,  270,  100, ...,  227,   14,  120],\n",
      "       [5072,   55,  227, ...,   81,  136,   26]]), array([[ 382,   24,  225, ...,   23,  228,  896],\n",
      "       [  12, 4334,  247, ...,  343,   21,    4],\n",
      "       [  53, 2529,   48, ...,   18,  625,   29],\n",
      "       ...,\n",
      "       [4189, 2472,   55, ..., 2282,  509,  253],\n",
      "       [ 815, 4350,   12, ...,   12, 1541,    0],\n",
      "       [   0,    0,    0, ...,   24,  225,  241]]), array([[ 873,  343,   51, ...,   51, 4781,   18],\n",
      "       [7807,   29, 6983, ...,   58,   51, 1391],\n",
      "       [  23,   14,  125, ..., 5013, 2681, 8059],\n",
      "       ...,\n",
      "       [1254,    2,    0, ..., 5083,  178,   50],\n",
      "       [ 939,    0,   39, ...,   88, 6527,  673],\n",
      "       [ 337,  227,   37, ...,  343,   51,    0]]), array([[8061,    0,   23, ...,  691,   42,  885],\n",
      "       [  12,  482,   23, ..., 1984,    2,  911],\n",
      "       [1648,    0,  474, ...,   24,    0,   85],\n",
      "       ...,\n",
      "       [5047,  232,  907, ..., 4567,    0, 1112],\n",
      "       [  10,   38,  124, ...,  102,   20,    0],\n",
      "       [ 709,  227,  941, ...,    0,   23, 1157]]), array([[ 239,   10,   12, ...,   81,  228,   14],\n",
      "       [8066,   26,  224, ...,  908, 5336, 6842],\n",
      "       [  23,  208,   67, ...,  960,   12,  138],\n",
      "       ...,\n",
      "       [   0,  864,  101, ...,   50,   10, 2403],\n",
      "       [ 125,  209,  907, ..., 6983, 2380, 6657],\n",
      "       [2403,  911,    0, ...,   10,   12, 4041]]), array([[2408,  233,   12, ..., 1718,    0,    2],\n",
      "       [  16,   27, 6254, ...,  151, 6388,   39],\n",
      "       [  12, 4803, 1371, ...,   23, 7563,  344],\n",
      "       ...,\n",
      "       [  23,   61,   49, ...,  174, 2480,  238],\n",
      "       [2272, 1199,  911, ...,   35,  993,  279],\n",
      "       [  12, 7209,   29, ...,  233,   12, 5155]]), array([[ 842, 1093, 3202, ...,  233,   51,  729],\n",
      "       [  51, 2713,    0, ...,  148,  409, 3116],\n",
      "       [1685, 6348, 1162, ...,   88, 7125,  120],\n",
      "       ...,\n",
      "       [  88,   12, 2357, ...,   50,  247, 1683],\n",
      "       [ 232, 2398, 2404, ...,   47,  869,   81],\n",
      "       [  55,   10,   20, ..., 1093, 3202,    0]]), array([[  36,  107,  967, ...,   12,   13,  142],\n",
      "       [ 141,    0,   10, ..., 3839,    0, 3055],\n",
      "       [ 233,   21, 1879, ..., 3838,   61,  548],\n",
      "       ...,\n",
      "       [ 118,   61, 7668, ...,  224,   23,  270],\n",
      "       [1658,    6,  290, ...,  232, 2559, 3414],\n",
      "       [  12, 1879,  232, ...,  107,  967, 1405]]), array([[1075,   23,  997, ...,  101, 1713,   24],\n",
      "       [ 534,  100, 1685, ..., 1000,   12, 3064],\n",
      "       [ 100,  240,  100, ...,  540,  100,   14],\n",
      "       ...,\n",
      "       [ 118,   51,    0, ..., 2145,  125, 3078],\n",
      "       [ 343,  101,  482, ...,   55,  272, 5492],\n",
      "       [5105,   10,  322, ...,   23,  997,   29]]), array([[6208, 3954, 2593, ...,   21, 3075, 1685],\n",
      "       [  33,    7,  497, ...,   61,  423,   30],\n",
      "       [   0,   26, 1191, ...,  101, 2593,  478],\n",
      "       ...,\n",
      "       [  50,  869,   29, ...,   29, 6348, 7011],\n",
      "       [  18,  491,   26, ...,   29, 7495,   23],\n",
      "       [8091, 7495,  274, ..., 3954, 2593, 3596]]), array([[  88,  118,   20, ...,   27,    0, 3308],\n",
      "       [1765, 7596, 1632, ...,  197,  227, 6313],\n",
      "       [  85,  223, 7495, ...,   81,  112,   12],\n",
      "       ...,\n",
      "       [  10, 7428,   81, ..., 7390,  238, 1921],\n",
      "       [   2,   21,  568, ...,  174,  815,  755],\n",
      "       [ 227,    2,   12, ...,  118,   20,  227]]), array([[3697,   12, 2377, ...,  100,  208, 1525],\n",
      "       [ 107,    7,   74, ...,   12, 4785, 1685],\n",
      "       [7153, 1583, 1765, ...,  102,  557,   10],\n",
      "       ...,\n",
      "       [ 272,   55,   61, ..., 3596,   48,    6],\n",
      "       [ 214,  120,  100, ...,   88, 5766,   39],\n",
      "       [  51, 4854,    0, ...,   12, 2377,  102]]), array([[6175,   10,  920, ..., 2413, 4261, 8100],\n",
      "       [ 224,   53,   51, ..., 8100,   23,  107],\n",
      "       [  55,  142,  673, ...,  139, 5330,   20],\n",
      "       ...,\n",
      "       [ 115,   27, 2255, ..., 1594,  535, 3625],\n",
      "       [  23, 3670,  141, ..., 1685,   29, 2376],\n",
      "       [ 735,  885,  555, ...,   10,  920,   47]]), array([[7851,    0,   39, ...,  697,   29, 1748],\n",
      "       [   6,   88,   10, ...,   75,  322,  900],\n",
      "       [2155, 6348, 1981, ...,   12,  406,  228],\n",
      "       ...,\n",
      "       [3105, 2753,   29, ..., 1558,  106, 2450],\n",
      "       [1765, 7596,  201, ...,    0,   10,  526],\n",
      "       [ 406,   29,  509, ...,    0,   39,   42]]), array([[ 925,   26,   12, ...,  101, 2392,  124],\n",
      "       [  21, 1358,   61, ...,  115,   42, 1765],\n",
      "       [  29, 4767, 1765, ..., 6348,   26,  148],\n",
      "       ...,\n",
      "       [1629,    2,  284, ...,   29,  141,   26],\n",
      "       [ 100,  263,    0, ..., 7036,   67,  322],\n",
      "       [4450, 1685, 6348, ...,   26,   12, 1852]]), array([[  12,    0,    0, ..., 2568,   10, 4869],\n",
      "       [ 124,  118, 2451, ...,  474, 5704,    2],\n",
      "       [  18, 7305,    0, ..., 1745,  343,   12],\n",
      "       ...,\n",
      "       [3483,  101, 2392, ...,   47,   81,  228],\n",
      "       [  14, 2450, 8115, ..., 8115, 2975,   88],\n",
      "       [2974,  546,  815, ...,    0,    0, 1038]]), array([[ 147,  387,    0, ...,  102,  159, 2488],\n",
      "       [ 100, 1492,   55, ...,  101, 2380,   23],\n",
      "       [ 227,  142,  204, ...,   27, 1187,  100],\n",
      "       ...,\n",
      "       [3394,    0,  100, ...,   24,  350,  465],\n",
      "       [   0,  540,  100, ...,  478,   17,   18],\n",
      "       [ 639, 5101,    2, ...,  387,    0, 7866]]), array([[  69,  236,    0, ...,  261,    9,   10],\n",
      "       [ 273, 2447, 2354, ...,   12,  518, 1580],\n",
      "       [  51, 5803,  421, ..., 1558,   29, 5085],\n",
      "       ...,\n",
      "       [8117,  559,    0, ...,   39,   23,   39],\n",
      "       [1683,  552,   10, ...,   81,   18, 3309],\n",
      "       [  10,   12, 7599, ...,  236,    0,  100]]), array([[8106, 3242,  223, ...,  100,  272,   48],\n",
      "       [ 784,    2,  228, ...,  542,  510,   79],\n",
      "       [ 150, 8106,  226, ..., 5802, 4906,   69],\n",
      "       ...,\n",
      "       [ 238,  938,  546, ...,   55,  160,  227],\n",
      "       [1616,   85,   12, ...,  111,    6,   55],\n",
      "       [ 197,   88,  228, ..., 3242,  223,  224]]), array([[2460,  118, 5531, ..., 1359,   10,  356],\n",
      "       [ 118,  694, 1412, ...,   10,   11, 2447],\n",
      "       [2318, 2369,  100, ..., 3605,   45, 6797],\n",
      "       ...,\n",
      "       [ 937, 3952,   29, ...,  249, 1954,  812],\n",
      "       [3548,  232,   81, ...,  207, 2416,   23],\n",
      "       [ 542, 2176,  100, ...,  118, 5531,  359]]), array([[  62,   16,  811, ...,  112,   16, 1885],\n",
      "       [ 214,  621, 1892, ...,   47, 1014,  101],\n",
      "       [ 491,   33,  101, ...,   21,  478,  123],\n",
      "       ...,\n",
      "       [  23,  136, 2577, ...,    0,   23,   12],\n",
      "       [   0,  251,   10, ..., 5950,   23,  929],\n",
      "       [  18, 4906, 2472, ...,   16,  811,  105]]), array([[  53,  540,  100, ...,  228,  508, 8134],\n",
      "       [  10, 5055,   42, ...,  227,  142,   29],\n",
      "       [5857,    0, 5908, ...,   17,   18, 1291],\n",
      "       ...,\n",
      "       [1419, 3346,   23, ...,  227,  535, 1521],\n",
      "       [1276, 2404,   10, ..., 1286,   85, 8135],\n",
      "       [8121,   23, 8132, ...,  540,  100, 7549]]), array([[ 101,  264,   36, ...,  380,   29,  101],\n",
      "       [5027,   23,    2, ...,   33,   12, 1213],\n",
      "       [ 505,   81,   36, ...,  376,  308, 1068],\n",
      "       ...,\n",
      "       [  20, 8133,  150, ..., 2404,  214,   20],\n",
      "       [4071,   12,    0, ...,  815,   88,   20],\n",
      "       [ 791,  500,  100, ...,  264,   36,   23]]), array([[ 332,  101,  972, ..., 3112,  227,   26],\n",
      "       [1064,   67,   42, ...,   29,   47,   81],\n",
      "       [ 509,  369,  159, ..., 7980, 8137,  464],\n",
      "       ...,\n",
      "       [ 227,   23,   53, ..., 4071,   23,    0],\n",
      "       [ 123,  704,   10, ...,    0,   62,  101],\n",
      "       [2392,   23,  159, ...,  101,  972, 8134]]), array([[ 102,  272,  101, ..., 8134,   81,    0],\n",
      "       [  24,   23, 3611, ...,  471,   81,  136],\n",
      "       [  26,  112,   61, ...,   17,   10,   20],\n",
      "       ...,\n",
      "       [   0, 1093, 3468, ..., 1240,   29, 6041],\n",
      "       [   2,   16,  100, ...,  272,    0,   10],\n",
      "       [ 273,  118,   47, ...,  272,  101, 2392]]), array([[ 174,   88,  738, ...,  105,   48,    0],\n",
      "       [ 101,  750,    0, ...,  540,    7, 2880],\n",
      "       [ 232,    7,  128, ...,  101, 2392,   23],\n",
      "       ...,\n",
      "       [ 510,   29, 3327, ...,    0, 3916,  111],\n",
      "       [4522, 2313,    0, ..., 2640, 8145,  100],\n",
      "       [ 148,   85,   69, ...,   88,  738,    7]]), array([[  10, 2840, 3852, ...,   47,   18, 2069],\n",
      "       [ 842,  465, 1326, ...,  208,    0, 3286],\n",
      "       [1490,  274,  101, ..., 2326,  100,  356],\n",
      "       ...,\n",
      "       [ 208,   27, 2692, ...,  319,  232,  100],\n",
      "       [  14,  555,  708, ...,   53,  123,    0],\n",
      "       [   0,   12,    0, ..., 2840, 3852,    0]]), array([[3286,  100,  266, ...,  729, 3245, 8145],\n",
      "       [5531,  236, 1839, ..., 2196,  387,   10],\n",
      "       [ 118,   23,  815, ...,  214,  535,   29],\n",
      "       ...,\n",
      "       [  10, 2677,  266, ..., 5250,    0, 4647],\n",
      "       [  23,    0,    0, ...,  142, 1048,    0],\n",
      "       [2673, 8147, 2203, ...,  100,  266, 3022]]), array([[ 292, 8143, 2404, ..., 2203,   10, 8147],\n",
      "       [ 387, 2673, 1267, ...,  491, 3120,   53],\n",
      "       [ 141,   12,  627, ...,   81,  100,  534],\n",
      "       ...,\n",
      "       [ 815, 5218,   85, ...,  136,   10,  638],\n",
      "       [ 223,   47,   18, ...,   10,  322, 4876],\n",
      "       [  36,  148,  100, ..., 8143, 2404,  101]]), array([[ 228,  369, 2224, ...,    0,  100, 6245],\n",
      "       [  67,  588,  230, ...,  273,  227,  401],\n",
      "       [ 815,  129,   10, ..., 1683,    2, 6053],\n",
      "       ...,\n",
      "       [ 555,    2,  349, ...,  482,    2, 3519],\n",
      "       [5699,  509, 3513, ...,  100,  316,  911],\n",
      "       [4448,   37, 1939, ...,  369, 2224,  232]]), array([[  94,   20,   61, ...,  465,   81,   88],\n",
      "       [  61,  359,   31, ..., 8155, 4243,  295],\n",
      "       [   0,  498, 5695, ...,  100,  534,   18],\n",
      "       ...,\n",
      "       [  16,   47,   30, ..., 2624,   23, 1941],\n",
      "       [8154,   74,    7, ...,   12, 2178,    4],\n",
      "       [  29, 3764,  142, ...,   20,   61, 7780]]), array([[  55,   81,   50, ..., 1124,   53,  232],\n",
      "       [  55, 3673,   23, ...,  635,   55, 7888],\n",
      "       [  10, 3975,   21, ...,   16, 1810,   55],\n",
      "       ...,\n",
      "       [  23, 1405,   29, ..., 2354, 2355, 3756],\n",
      "       [  18, 1254,    2, ..., 1508, 4192,   29],\n",
      "       [3756, 1974,    0, ...,   81,   50,    0]]), array([[ 265,   10,    0, ..., 2395, 2396,   23],\n",
      "       [3773, 3756,   23, ..., 3015,   29,  101],\n",
      "       [1163,   85, 3055, ...,  729, 4434,    0],\n",
      "       ...,\n",
      "       [ 142, 4179, 3776, ...,   88,  118, 3776],\n",
      "       [ 279,  118,   61, ...,  118, 8141,  842],\n",
      "       [  88,  162,    0, ...,   10,    0,  265]]), array([[5952,  465,    0, ..., 1522,   14,  907],\n",
      "       [2687,   85,  141, ...,   12, 7590,  535],\n",
      "       [7483, 3181,  723, ...,  136,  196,   18],\n",
      "       ...,\n",
      "       [  20, 3163,  101, ...,   79,   29,  885],\n",
      "       [  50,  535,   29, ..., 4149,  101,  478],\n",
      "       [ 102,  208, 3837, ...,  465,    0,   39]]), array([[  53,  911, 2401, ...,  815,  976,  295],\n",
      "       [ 885, 1222,  118, ..., 5628,  708, 8169],\n",
      "       [ 478, 2398, 3837, ...,   53,  101, 2963],\n",
      "       ...,\n",
      "       [ 227,  232, 7302, ...,  100,  272,  636],\n",
      "       [  10,  920, 2278, ..., 2854,   18, 5720],\n",
      "       [4303,   12,  519, ...,  911, 2401, 1023]]), array([[  18,    0, 1075, ...,  609, 2398,   12],\n",
      "       [2386,   85,   18, ...,  207,   88,   20],\n",
      "       [4204,  500,   12, ...,  850,    7,   88],\n",
      "       ...,\n",
      "       [2028, 5699, 4815, ..., 4093,  709,  227],\n",
      "       [1810, 4093,  709, ..., 3133, 5699, 1162],\n",
      "       [ 465,  214,  535, ..., 1075,  502,  885]]), array([[5699, 3837,  219, ...,   18, 3146,   29],\n",
      "       [   0,   39,  413, ..., 2287,    0,  174],\n",
      "       [3672, 5807,   67, ...,    0, 1648,   29],\n",
      "       ...,\n",
      "       [1253, 2332,  197, ...,    0, 1862,    2],\n",
      "       [ 317,   12,    0, ..., 1245, 3210,    0],\n",
      "       [ 112,  141,    0, ...,  219,   12, 2617]]), array([[1056,  932, 3903, ...,  204,   12, 1599],\n",
      "       [1604,  559,  872, ...,   12,    0,    0],\n",
      "       [   0,   12, 5165, ...,  911,  384, 1358],\n",
      "       ...,\n",
      "       [  12, 1733,    6, ...,    0,   55,   81],\n",
      "       [ 987,  159,    0, ...,   38, 2525,   24],\n",
      "       [  53,  588,   18, ..., 3903,  540,   78]]), array([[7343,    0,  162, ...,    0,  334, 1425],\n",
      "       [  29,   18, 2945, ...,    0,  322,  610],\n",
      "       [1720, 1635,  607, ..., 4066,  118,   23],\n",
      "       ...,\n",
      "       [  18,  663,  125, ..., 4555, 7622,   23],\n",
      "       [8195, 8195,  349, ..., 1984,   23, 5419],\n",
      "       [   0, 5333, 2962, ...,  162,    2,   42]]), array([[ 349,   18,  308, ...,  227,  951,    0],\n",
      "       [ 101, 7984,    2, ...,  150,  223,   20],\n",
      "       [3163,  610,  288, ..., 1382, 2334,  895],\n",
      "       ...,\n",
      "       [5191, 1227,    7, ...,  101, 2272,   53],\n",
      "       [  39,   12, 3181, ..., 2117,   23,  262],\n",
      "       [ 227, 2380,  815, ...,  308,    0,   29]]), array([[1180,   21,  660, ...,   26, 3406,   10],\n",
      "       [ 829,  335,  223, ...,  365,   23,    3],\n",
      "       [6983, 2451, 2354, ...,   26,   12,    0],\n",
      "       ...,\n",
      "       [7645, 8192,  148, ..., 2528,    0,  216],\n",
      "       [ 301, 1653,  485, ..., 2427,  227,    2],\n",
      "       [  39,  141,   12, ...,  660, 2450,  240]]), array([[3627, 3107,  907, ...,  100,  266,   12],\n",
      "       [3285,  272, 2061, ...,  359,   10,  510],\n",
      "       [3196,    0, 5703, ...,  261,   50,   12],\n",
      "       ...,\n",
      "       [2568,   81,   55, ...,   47,  102,  907],\n",
      "       [ 174,  301,  142, ...,    2,  731, 4494],\n",
      "       [6671,    6,   12, ...,  907,  223,   67]]), array([[  62,   81,  224, ...,   50,  141,  100],\n",
      "       [ 272,    0,   16, ...,    0,   10,   42],\n",
      "       [   0,   55,   81, ...,  101,  261, 1411],\n",
      "       ...,\n",
      "       [  29,  911,  705, ..., 2416,   18, 1191],\n",
      "       [  29,   26, 1811, ...,  115,   18, 1807],\n",
      "       [ 337,  224,  102, ...,  224,  331, 2404]]), array([[ 118,   47, 2664, ...,   42,   88, 2475],\n",
      "       [ 761,   59,  129, ..., 2364, 2353, 2398],\n",
      "       [2377, 8200, 8206, ...,    0,   23,    0],\n",
      "       ...,\n",
      "       [3286,  100,  219, ...,   29,  136, 5126],\n",
      "       [3286, 2759, 2404, ..., 2752, 2115,  735],\n",
      "       [3800,  624,    2, ..., 2664,   26, 2404]]), array([[ 344,  153, 4750, ...,    2,  136,   52],\n",
      "       [ 100,  102,  769, ...,   29,   12, 5126],\n",
      "       [ 465,  102,  227, ...,  761,    0, 3514],\n",
      "       ...,\n",
      "       [ 179,   51, 1312, ..., 1187,   10, 3071],\n",
      "       [ 247,   85, 3509, ...,  136,  877,  159],\n",
      "       [ 161,  118,  100, ..., 4750,   12,  278]]), array([[5126,   10, 1164, ..., 4071,   10,    0],\n",
      "       [ 509, 4591, 7805, ..., 5882,   23, 3075],\n",
      "       [   0,  100,  316, ...,   26,    0,   92],\n",
      "       ...,\n",
      "       [8218,   29,  141, ..., 8220,  107,   29],\n",
      "       [  18, 2681,    0, ...,  137,  779,    2],\n",
      "       [ 967, 8218,  540, ..., 1164,  118,  328]]), array([[  29,   78,  274, ..., 1145,  149, 8218],\n",
      "       [1162,  224,   29, ...,   88,  638,  322],\n",
      "       [  62, 8220,   97, ...,   23, 3163,  100],\n",
      "       ...,\n",
      "       [   0, 2145,   85, ...,  100,  906,  465],\n",
      "       [  81,   27,  759, ...,  228,  421,  842],\n",
      "       [ 136,   12, 1857, ...,  274,  100,  738]]), array([[  33,  100,  842, ..., 2288,   88,  526],\n",
      "       [2288,    7,   76, ...,  427,   10,  921],\n",
      "       [  18, 2109,   23, ...,  721, 7647,  204],\n",
      "       ...,\n",
      "       [ 465, 8222,  272, ..., 2719,   23,  542],\n",
      "       [  55,   81,  162, ..., 1162,   26, 1541],\n",
      "       [ 691,   12,  890, ...,  842, 1583,  227]]), array([[  74,    7,  224, ...,   62, 2555, 2447],\n",
      "       [8216,  349,   14, ...,  349, 6671,   81],\n",
      "       [8235,  124,   42, ..., 1063,   23,   49],\n",
      "       ...,\n",
      "       [ 115,   55, 3630, ...,   12,  398, 2265],\n",
      "       [  81,  692,  317, ..., 2290,   29,   62],\n",
      "       [  23, 1531, 8218, ...,  224,   58,    0]]), array([[7647,   26,  227, ...,   12, 2377, 2398],\n",
      "       [2377, 2377,  540, ...,   53, 7682, 8118],\n",
      "       [3179,  295,  885, ..., 5947,   42, 3146],\n",
      "       ...,\n",
      "       [2911,  274, 3357, ..., 3937,   23,  907],\n",
      "       [   0, 1488,  111, ...,   53,  227,  270],\n",
      "       [  20,    0,   51, ...,  227,  535,   36]]), array([[6934,   10,  223, ...,    0,   26,   51],\n",
      "       [   0,    0,   85, ..., 1438, 2586, 8242],\n",
      "       [  61,  907,  207, ...,    0, 2435,  387],\n",
      "       ...,\n",
      "       [  10,   12,    0, ...,  815,   20,   23],\n",
      "       [ 465,  815,   20, ...,   12,    0,    0],\n",
      "       [   2,  911,    0, ...,  223,   23,    0]]), array([[ 975,   23, 1293, ...,   26,  262,   88],\n",
      "       [1807, 3269,   10, ...,    0,  535,  214],\n",
      "       [1315, 3269, 4760, ...,   51,  670,  154],\n",
      "       ...,\n",
      "       [ 141,  136, 6366, ..., 2334,  224,  439],\n",
      "       [3089, 8005,  349, ...,  387,  907,  535],\n",
      "       [ 141,  154,    0, ..., 1293,  377,   47]]), array([[  23,  908,  274, ..., 4527,   23,  100],\n",
      "       [1137, 1364,   85, ...,    6,   55,   50],\n",
      "       [ 241,  100,  990, ...,  253,   23,  101],\n",
      "       ...,\n",
      "       [  51, 1803, 2495, ...,   30,   36,    0],\n",
      "       [ 223, 8243,  270, ...,   12, 2681,  224],\n",
      "       [2418,   29,   50, ...,  274, 7667,    6]]), array([[ 204,   18, 1157, ...,   12, 2483, 2327],\n",
      "       [1840, 1475, 1808, ...,  735,  317,   11],\n",
      "       [ 417, 8243,   33, ...,  610,  107,  526],\n",
      "       ...,\n",
      "       [  23, 3131,    0, ...,  272, 1523, 1731],\n",
      "       [ 937,   10,  118, ...,  638, 2475,  761],\n",
      "       [  13,  417, 6665, ..., 1157, 2532,   88]]), array([[ 272,    0,    0, ...,   12, 6220,    0],\n",
      "       [  12,    0,  609, ...,   88,  432,   42],\n",
      "       [   0,  100,  179, ...,  136, 4602, 3596],\n",
      "       ...,\n",
      "       [ 228, 2617, 1023, ...,   18, 1676,  107],\n",
      "       [   0, 4018, 2505, ..., 8250,  815, 3208],\n",
      "       [ 101, 2380, 8248, ...,    0,    0, 3049]]), array([[  85,   68,   14, ...,   12, 2373,   10],\n",
      "       [3208,  111,   27, ...,  522,  101, 2380],\n",
      "       [8196,   12, 1685, ...,  118,   10,  305],\n",
      "       ...,\n",
      "       [  55,  873, 8256, ..., 2664,  761, 6435],\n",
      "       [2787,   10, 3436, ...,  160,  735,    0],\n",
      "       [  61,    0,  890, ...,   14,    0,   26]]), array([[  20,   12,  245, ...,  359, 5559,  150],\n",
      "       [ 967,   20,    0, ...,   23, 1869, 1422],\n",
      "       [8248,  296,   12, ...,   12, 6274, 1218],\n",
      "       ...,\n",
      "       [3285,   23,  227, ...,   82,    0,    0],\n",
      "       [ 201,   50,   26, ..., 3737, 3404,  227],\n",
      "       [1163,   10,  118, ...,  245, 2451, 2354]]), array([[1297,  201,   47, ...,   23,    0,   23],\n",
      "       [  12,    0, 1293, ..., 4601,  954,  241],\n",
      "       [  33,    0,  107, ...,  761, 1112,  111],\n",
      "       ...,\n",
      "       [2255, 8260,   23, ...,  272, 4907,  118],\n",
      "       [ 349, 2709,  593, ...,  115,   48, 6099],\n",
      "       [ 542,    0,    0, ...,   47,  148,  224]]), array([[1490, 3819, 3235, ...,  480, 6675,  101],\n",
      "       [   0, 1346,   10, ...,  100,  179,   12],\n",
      "       [1238,   61,    0, ..., 2404, 8260,   97],\n",
      "       ...,\n",
      "       [8259,  100, 2836, ..., 8259, 1004,   48],\n",
      "       [  55,   17,  228, ...,   23,    0,  266],\n",
      "       [  55,  815, 2144, ..., 3235,   12, 3177]]), array([[  76,   88,   20, ...,  526,  346,  114],\n",
      "       [  18, 1605, 2629, ...,   12, 1184,   18],\n",
      "       [1254,    2,    0, ...,  227,  272,    0],\n",
      "       ...,\n",
      "       [   0,    0, 6818, ...,   29,   62,    0],\n",
      "       [  53,  870,  105, ...,    0, 2411, 2599],\n",
      "       [ 159,    0,  100, ...,   20, 2019,   50]]), array([[1805, 2292,   23, ...,   18, 4918,   23],\n",
      "       [3522,  590,  287, ...,  261,  772,  100],\n",
      "       [1307, 1295,   29, ..., 2411, 2599,  159],\n",
      "       ...,\n",
      "       [   0, 2725,   81, ..., 6204,    0,   12],\n",
      "       [6722,  101,  557, ...,   29, 2020,  643],\n",
      "       [  23,  997,   29, ...,   23,   31,   42]]), array([[ 568,   67,   42, ...,   39,  322,    0],\n",
      "       [6479,  638, 5557, ...,   14,  284,  123],\n",
      "       [  39,  223, 1621, ...,  554,  107,  284],\n",
      "       ...,\n",
      "       [  16,    0,    7, ...,    0,  178,    0],\n",
      "       [  29,  830,  183, ...,   29,  101,  460],\n",
      "       [5249,   58,   21, ...,   42, 2107,   51]]), array([[ 900,  663,    0, ...,   21,  353,   23],\n",
      "       [   0,   85,  798, ...,    0,   29,    0],\n",
      "       [1399,   23, 1749, ...,    2,  212, 1313],\n",
      "       ...,\n",
      "       [ 124,    0, 1310, ...,  449,   51, 2659],\n",
      "       [  85, 1063, 7458, ..., 2411, 2599,  159],\n",
      "       [   0, 3939,   14, ...,    0,  618,   81]]), array([[ 437,    2, 8027, ..., 1234, 1996,   29],\n",
      "       [1576,    0, 1027, ..., 4199, 1945,   42],\n",
      "       [   0,    0,    0, ..., 1811, 4815,   85],\n",
      "       ...,\n",
      "       [ 465,  224,    0, ...,    0, 2816,  224],\n",
      "       [ 568,  343,   51, ..., 5325,   85,   42],\n",
      "       [3228,    0,   17, ..., 8027, 1183,    0]]), array([[ 842,    0,   51, ...,   10,    0,  295],\n",
      "       [   0,    0,   85, ...,    0,   26,   81],\n",
      "       [7032,  111, 4080, ...,  667,   10, 4048],\n",
      "       ...,\n",
      "       [  29,   18, 4686, ..., 4985,   12, 1132],\n",
      "       [ 821,    0,    0, ...,    0,   10,   12],\n",
      "       [1530, 2587, 3455, ...,   51, 2207,  479]]), array([[  42, 1239,   23, ..., 1207, 2503,   67],\n",
      "       [  12, 1232, 1464, ...,   21,  483, 2204],\n",
      "       [7592,   26, 2854, ...,  112,  223,   94],\n",
      "       ...,\n",
      "       [ 709, 4670, 8283, ..., 1132,   18, 5172],\n",
      "       [   0,    0, 5024, ...,  911,    0,  125],\n",
      "       [2794,   12, 1334, ...,   23, 5007,   55]])]\n",
      "100\n",
      "WARNING:tensorflow:The following Variables were used in a Lambda layer's call (tf.compat.v1.nn.embedding_lookup_1), but are not present in its tracked objects:   <tf.Variable 'embedding_mat:0' shape=(8286, 128) dtype=float32>. This is a strong indication that the Lambda layer should be rewritten as a subclassed Layer.\n",
      "WARNING:tensorflow:The following Variables were used in a Lambda layer's call (tf.linalg.matmul_1), but are not present in its tracked objects:   <tf.Variable 'W:0' shape=(128, 8286) dtype=float32>. This is a strong indication that the Lambda layer should be rewritten as a subclassed Layer.\n",
      "WARNING:tensorflow:The following Variables were used in a Lambda layer's call (tf.__operators__.add_1), but are not present in its tracked objects:   <tf.Variable 'b:0' shape=(8286,) dtype=float32>. This is a strong indication that the Lambda layer should be rewritten as a subclassed Layer.\n",
      "[array([[   0,    1,    2, ...,   39,   40,   41],\n",
      "       [  42,   43,   44, ...,   66,   26,   67],\n",
      "       [  68,   69,   70, ...,    7,    0,   88],\n",
      "       ...,\n",
      "       [  62,  932,  154, ...,  219,  895,  223],\n",
      "       [  10,   51,  236, ..., 1129,    2,   12],\n",
      "       [   0,   61,   81, ...,    1,    2,    3]]), array([[   0,   81,  228, ...,   29,  119, 1207],\n",
      "       [  23,  227,    2, ...,  557,   50,  227],\n",
      "       [  17,   79,   79, ...,   18, 1235,  107],\n",
      "       ...,\n",
      "       [ 688,   14,   20, ...,    7,  299,  510],\n",
      "       [  12,  566,   29, ...,  536,  818,   47],\n",
      "       [ 398,    0,    0, ...,   81,  228,  943]]), array([[  53,  431,   23, ...,    2,  141,   51],\n",
      "       [1788,   58,  555, ...,  269,  295,  337],\n",
      "       [ 214, 1644,  279, ...,   85,  735,  197],\n",
      "       ...,\n",
      "       [ 124,  322, 2209, ...,  121,   41, 1085],\n",
      "       [ 376,   21,  517, ...,   21, 2217, 2218],\n",
      "       [2219,  279,  545, ...,  431,   23,   51]]), array([[ 517, 1104, 1279, ...,  409,    7,  121],\n",
      "       [ 369,  327,   23, ...,   62,   16,  107],\n",
      "       [   7,   80,  151, ...,    0, 2235,   10],\n",
      "       ...,\n",
      "       [ 496, 1407,   50, ...,  270,   27, 1742],\n",
      "       [ 596,    0,   20, ...,  228, 2389, 2674],\n",
      "       [2385, 1411,  100, ..., 1104, 1279,   23]]), array([[1521, 1508,  162, ..., 1014,  842,   27],\n",
      "       [1915,   26,  263, ...,   12,   82, 1925],\n",
      "       [2333,   29,  870, ...,  335,  125,  689],\n",
      "       ...,\n",
      "       [  29, 1921,  863, ...,   12, 1685,  247],\n",
      "       [  61,    0,   81, ...,  343,  136, 3019],\n",
      "       [ 559,    0,  567, ..., 1508,  162, 1356]]), array([[ 578, 2524,   18, ...,  344,  470,  101],\n",
      "       [ 479, 2379,  535, ...,  100,  207,  273],\n",
      "       [  16, 2625,  100, ...,   12,    0,   12],\n",
      "       ...,\n",
      "       [ 227, 1972,  223, ...,  708,   51, 3145],\n",
      "       [ 125,  227,  578, ...,  224,   81,    0],\n",
      "       [  12,    0,   29, ..., 2524,   18, 1541]]), array([[   2,   51, 1391, ...,    0,   23,   10],\n",
      "       [  47, 3327,  136, ...,  526,  478, 2378],\n",
      "       [ 540,  349, 2524, ..., 2816,   23,   10],\n",
      "       ...,\n",
      "       [   0,  224,   14, ...,  224, 2381, 3161],\n",
      "       [  18, 1470, 2664, ...,   67,  224, 2794],\n",
      "       [  12,    0,  498, ...,   51, 1391,    0]]), array([[ 141, 3557, 1132, ..., 1096,  227,    0],\n",
      "       [  61,    0, 3558, ...,  498, 2479,   26],\n",
      "       [ 102,  227,   23, ...,  101, 2380, 2379],\n",
      "       ...,\n",
      "       [1566,   51,   19, ...,  100,  179, 2388],\n",
      "       [  27,  101,  274, ..., 1030,  228, 3134],\n",
      "       [ 136,   55, 1096, ..., 3557, 1132,   10]]), array([[1015,  474,  474, ...,   61,  100, 1590],\n",
      "       [  16, 1308,   67, ...,    7,   21, 1733],\n",
      "       [  23,  815,  769, ..., 1925,  186,  162],\n",
      "       ...,\n",
      "       [3967,  907,  535, ...,   23,   12, 1056],\n",
      "       [  81,  509,  101, ...,   53,  223, 3929],\n",
      "       [3338,   23,    0, ...,  474,  474, 1015]]), array([[1872,  150, 3974, ...,  136,   81,   82],\n",
      "       [1984,   26,  100, ...,   51,    0,  408],\n",
      "       [  12,  239,  909, ...,  100,  738,   88],\n",
      "       ...,\n",
      "       [1162,  136,   55, ...,    2, 3000,    0],\n",
      "       [4162,  337,   41, ...,  325,   12,    0],\n",
      "       [ 111,   12, 2568, ...,  150, 3974, 1703]]), array([[1893,  349,   29, ...,  100,  554,  118],\n",
      "       [2670,   20,    2, ...,   21, 1006,  100],\n",
      "       [ 174, 2977,   16, ...,   81, 1899,   61],\n",
      "       ...,\n",
      "       [ 941, 1075,   97, ..., 1645,   23, 3950],\n",
      "       [4120,   23, 2465, ..., 1521,   71, 3781],\n",
      "       [  36,  204, 3071, ...,  349,   29,  228]]), array([[3769,    0,  100, ...,   39,  761, 4334],\n",
      "       [  23,    7,  165, ...,   12, 4336, 2664],\n",
      "       [ 761,   13,  582, ..., 1000,   23, 1523],\n",
      "       ...,\n",
      "       [ 174,    0, 3788, ..., 1091,    0,   58],\n",
      "       [ 112,  122,   23, ...,  201,   10,   12],\n",
      "       [   0, 4539, 2241, ...,    0,  100, 2809]]), array([[ 946,  101, 1812, ...,  117,   12, 3822],\n",
      "       [ 102,   11,   10, ...,   53,   51, 2716],\n",
      "       [  12, 4544,   29, ...,   12, 1438,  100],\n",
      "       ...,\n",
      "       [ 226, 2443, 2386, ...,   12, 3510,   29],\n",
      "       [   0,   53, 2416, ..., 1419,   50,  100],\n",
      "       [ 262,   12, 2251, ...,  101, 1812,   53]]), array([[   0, 3781,   36, ..., 4699,  136, 1872],\n",
      "       [4291, 4291,  274, ...,  534, 1068,   23],\n",
      "       [ 524,  101,  239, ...,  219,   61, 2105],\n",
      "       ...,\n",
      "       [4764,  100,  382, ...,  105, 1364, 4786],\n",
      "       [  97,   18,  274, ...,  265, 4764,   12],\n",
      "       [2377,  101,  264, ..., 3781,   36, 2427]]), array([[ 101, 1023, 4786, ...,  227,   85,  228],\n",
      "       [4842,  662,   23, ...,  894,  246,   85],\n",
      "       [ 118,    6,   85, ...,  174,  141, 2426],\n",
      "       ...,\n",
      "       [  90,   12, 3306, ...,   23,    0,    0],\n",
      "       [  85, 5014,   67, ...,    0,   23, 2995],\n",
      "       [2053, 4975,  446, ..., 1023, 4786, 1162]]), array([[2377, 4730, 1276, ..., 1021,    7,   74],\n",
      "       [  88,  818,  910, ...,   12, 2732,    0],\n",
      "       [  21, 4590,   81, ...,  272,    0, 3425],\n",
      "       ...,\n",
      "       [  29,  223, 4928, ...,   29,  790,    0],\n",
      "       [ 151,    2,   62, ...,  266,   88,    0],\n",
      "       [1284,   12, 1466, ..., 4730, 1276,  251]]), array([[ 148,   88,   20, ..., 4896, 5155, 5156],\n",
      "       [ 349,  100,  174, ...,  349,  638,   12],\n",
      "       [ 864,  509,  421, ...,  534, 1128,  465],\n",
      "       ...,\n",
      "       [1064,  100, 1064, ..., 1671,  129,   12],\n",
      "       [   0,   29,   55, ...,  250,   23,  141],\n",
      "       [  12, 4265,   26, ...,   88,   20,   21]]), array([[ 232, 1683,  101, ...,    0,   29,   18],\n",
      "       [3202, 4741, 2037, ..., 1093, 2513,    0],\n",
      "       [  50,   12,  621, ..., 1973,    0, 1972],\n",
      "       ...,\n",
      "       [  88, 1346,  227, ..., 2243,  337,  272],\n",
      "       [ 227,   31,   12, ...,  118,   23, 5378],\n",
      "       [  88,  337,   81, ..., 1683,  101, 4764]]), array([[ 102,   20, 3612, ...,  105,  136,  337],\n",
      "       [  81,   12,  424, ...,  842,   50,   10],\n",
      "       [3316,  227,  124, ...,   29,    0, 1340],\n",
      "       ...,\n",
      "       [ 967,  204,  106, ..., 1321,  227,  174],\n",
      "       [5465,   67,  509, ...,    0, 3385,  233],\n",
      "       [ 101,  644, 1475, ...,   20, 3612, 2416]]), array([[  19,   29,  509, ...,  189,   12,  883],\n",
      "       [1328,   21,  823, ...,   61, 5296,   29],\n",
      "       [5295,   88, 2127, ...,  274,   10, 1032],\n",
      "       ...,\n",
      "       [1752, 2398, 1847, ...,   47,   14,  227],\n",
      "       [5154,  118,    7, ..., 2498, 3249,   30],\n",
      "       [   7,  922,   10, ...,   29,  509,  279]]), array([[5554,   23, 1593, ...,  328,   67,   16],\n",
      "       [4087,  341,  710, ..., 5296,   29, 5293],\n",
      "       [  23, 5299,   29, ...,  228, 1733,  263],\n",
      "       ...,\n",
      "       [ 729,   82, 2526, ...,  105,  219,    0],\n",
      "       [   2,  228, 4029, ...,  295,  107,  701],\n",
      "       [ 498, 5643, 1133, ...,   23, 1593,  540]]), array([[  12,  639,    6, ...,  101,  506,  100],\n",
      "       [  14,    0,    0, ..., 1132,   17,   18],\n",
      "       [5416,   55,  197, ..., 5008,    0, 5643],\n",
      "       ...,\n",
      "       [ 337, 1869,  102, ...,  335, 2398, 5699],\n",
      "       [5640,   85,   51, ...,   47,  100,  219],\n",
      "       [   0,  107,  227, ...,  639,    6,   12]]), array([[  10, 1180,  228, ...,  214,    0,  578],\n",
      "       [ 212,  744, 5631, ...,  228, 1132, 2701],\n",
      "       [5638,  100, 1590, ...,   23, 5761, 5631],\n",
      "       ...,\n",
      "       [ 100,  148,  214, ...,   12, 3238,   61],\n",
      "       [ 232, 1683,   18, ...,   96, 5637,   27],\n",
      "       [2404, 2465, 1093, ..., 1180,  228,    0]]), array([[3085, 5637, 3085, ...,  272,    0, 1287],\n",
      "       [1807, 5643,   50, ..., 2671, 2971, 5643],\n",
      "       [ 227,  272, 3117, ...,  355,   26,  100],\n",
      "       ...,\n",
      "       [  85,  967,  863, ...,    2,   69,    0],\n",
      "       [  81,  569,   23, ..., 1798,  856,  125],\n",
      "       [   7,  710,    0, ..., 5637, 3085, 2404]]), array([[5861,  932, 4007, ...,  588,    0,  115],\n",
      "       [ 874,  898,  111, ...,  101,    0,    0],\n",
      "       [ 207,    0,  101, ...,  555,  118,  349],\n",
      "       ...,\n",
      "       [ 208,  224, 1096, ..., 2404,  224, 2794],\n",
      "       [ 107,   78,  729, ...,  127,  214,   14],\n",
      "       [ 328,   29,  322, ...,  932, 4007,  107]]), array([[ 322, 1991, 1315, ...,   29, 3028, 1531],\n",
      "       [  81,   18, 1521, ...,   29,    0,  498],\n",
      "       [5954, 1004,   23, ...,   18,  604, 5777],\n",
      "       ...,\n",
      "       [  51, 2387,   51, ...,  184,   12, 3697],\n",
      "       [ 174, 5451,   12, ...,  150,   55,  387],\n",
      "       [   0,  376,  100, ..., 1991, 1315, 5954]]), array([[ 308,  505,   10, ...,  100,  534,  451],\n",
      "       [   7,   30, 1207, ...,    0,  387, 2398],\n",
      "       [  85,  967, 1869, ...,   29,   26, 5657],\n",
      "       ...,\n",
      "       [ 227,   53, 3191, ...,  343,    0,   29],\n",
      "       [   0,   23, 3670, ...,  101, 3894,  842],\n",
      "       [  88, 3471,  961, ...,  505,   10,    0]]), array([[6124,    2,  604, ..., 2340,  294, 6125],\n",
      "       [  23,  399,    0, ..., 6088,  932,   61],\n",
      "       [ 673,    0,  107, ...,  272,  818,  107],\n",
      "       ...,\n",
      "       [ 973, 6201, 2398, ..., 2450, 1004,   10],\n",
      "       [  38,   42, 3080, ...,  227, 1029,  328],\n",
      "       [ 417,  359,    0, ...,    2,  604,  125]]), array([[ 573,   81,    0, ...,  932, 1385, 6205],\n",
      "       [6107,   10,  973, ...,  359,  452, 2404],\n",
      "       [ 227,  555,  118, ...,   86,  227,  125],\n",
      "       ...,\n",
      "       [3444,  317, 1607, ...,  101,  482,  554],\n",
      "       [  88,  588, 4400, ..., 6092, 1162,  100],\n",
      "       [ 207,   11,   23, ...,   81,    0,  100]]), array([[   0,   29,   12, ..., 6088,   26,  850],\n",
      "       [1207,  201,  101, ...,  540,   21,    0],\n",
      "       [ 204,   20,    0, ..., 3208,   23,   10],\n",
      "       ...,\n",
      "       [   0, 2278,   27, ...,   53, 6053, 2447],\n",
      "       [6075,   97,    7, ...,  819,    0,  115],\n",
      "       [ 223, 4013,   10, ...,   29,   12, 6065]]), array([[ 111,   47,   51, ...,  240,   55, 1071],\n",
      "       [3245, 6246,   81, ..., 2966,   81, 6081],\n",
      "       [2127, 2398, 6078, ...,  996,   29,  138],\n",
      "       ...,\n",
      "       [ 236,  105,  911, ..., 4562, 4535, 6088],\n",
      "       [1686, 1033,    7, ...,  272,  596, 1354],\n",
      "       [  23,  291,  216, ...,   47,   51,  434]]), array([[ 911,    0,   13, ...,    0, 6387,  102],\n",
      "       [  20,    0, 6388, ...,  885,  111,  216],\n",
      "       [ 111, 2833,  571, ...,   12, 1541, 2404],\n",
      "       ...,\n",
      "       [ 359,  951,  588, ...,  100,  738,  100],\n",
      "       [ 578,  295,  350, ...,   81, 6451,  465],\n",
      "       [6451,   18, 3861, ...,    0,   13,   18]]), array([[ 967,  542,  100, ...,   26,  535,   61],\n",
      "       [   0,  233,  911, ...,   55, 3650, 4148],\n",
      "       [  23, 1364,   12, ..., 6451,   82,   17],\n",
      "       ...,\n",
      "       [  88,  101, 2380, ...,   55, 3877,  227],\n",
      "       [  63,   12, 5266, ...,    0,  135,  162],\n",
      "       [4012,  946,   34, ...,  542,  100,  272]]), array([[ 727,  725,  328, ..., 2241,   16, 2451],\n",
      "       [5622,   23, 6442, ..., 2451, 2354, 2361],\n",
      "       [  18,  162, 1050, ..., 5622, 5622, 1921],\n",
      "       ...,\n",
      "       [  39,   12,    0, ...,   48,  421,   29],\n",
      "       [ 227,    6,  227, ...,  141,  101, 3836],\n",
      "       [   0,  141,    0, ...,  725,  328,   23]]), array([[  10,  118,  105, ..., 3966,   29,    0],\n",
      "       [  23,  270,   10, ..., 3234,   88,    0],\n",
      "       [6538,   10,  738, ...,  118,   12,    0],\n",
      "       ...,\n",
      "       [ 101, 2387,  568, ...,  731,  329,   37],\n",
      "       [ 960,   51,    4, ...,   12, 1765, 3791],\n",
      "       [ 223,   23,    0, ...,  118,  105,   18]]), array([[   0, 2018,    2, ...,    0,   23, 5330],\n",
      "       [3843,   50, 3342, ...,    0,  141, 6492],\n",
      "       [  14,  214,  273, ...,  911, 3752,  232],\n",
      "       ...,\n",
      "       [1475,  224, 3497, ...,  208, 1703,  227],\n",
      "       [  85,  238, 2692, ..., 6473,  729,   23],\n",
      "       [ 150,  295,  262, ..., 2018,    2,   12]]), array([[1358,   81,  997, ...,  101, 2380,   85],\n",
      "       [  12,  778,  585, ..., 1944,   10,   20],\n",
      "       [   0,   18,    0, ...,   17,   48, 5202],\n",
      "       ...,\n",
      "       [  26, 3140,  148, ...,    0, 2397,  498],\n",
      "       [2386,   81,  159, ..., 2156,    2,   42],\n",
      "       [ 369,  220, 1315, ...,   81,  997,   29]]), array([[4350,    0,  159, ...,   50,    6,   12],\n",
      "       [1063,  387,   10, ...,  136,  263,   88],\n",
      "       [1311,   18, 2389, ...,    0,   23,    0],\n",
      "       ...,\n",
      "       [ 174,   16,  274, ...,   12, 2357,   10],\n",
      "       [ 980, 6442,   12, ..., 1685, 2738, 6471],\n",
      "       [ 224,   81, 3723, ...,    0,  159,    0]]), array([[1765, 1287,  227, ...,    7, 6754,  933],\n",
      "       [ 118,   23,  101, ...,  521, 4300,  694],\n",
      "       [   0,  102,  120, ...,   85, 1088,  387],\n",
      "       ...,\n",
      "       [  23, 3105,  107, ...,   10, 5067,   23],\n",
      "       [ 150,  295, 6500, ...,   12, 3326,   29],\n",
      "       [  12, 1234,  337, ..., 1287,  227,   26]]), array([[  12,   28,   29, ...,  221,   51, 1358],\n",
      "       [ 224,  102,   88, ...,  291,  223,   33],\n",
      "       [ 224,  389, 2326, ...,  540,   10, 6096],\n",
      "       ...,\n",
      "       [3596,  863, 4612, ..., 6893, 6786,  107],\n",
      "       [ 907,  142,    0, ...,  100,  534,   18],\n",
      "       [   0,   29,    0, ...,   28,   29,   47]]), array([[ 100,  272,  770, ...,   47, 1073,    7],\n",
      "       [   0,   50,  908, ...,  465,  142,   50],\n",
      "       [1073,  319,  349, ...,  417, 4381, 6784],\n",
      "       ...,\n",
      "       [2450, 6771,   88, ..., 3571,   53,   21],\n",
      "       [   0,    6,    7, ...,  856,   10, 1749],\n",
      "       [3109,  111,   20, ...,  272,  770,  908]]), array([[ 169,   23,  204, ...,   53,  907,  102],\n",
      "       [3133,  272, 1187, ...,  371,   26,    7],\n",
      "       [  74, 1132,    0, ..., 3349,   29,   21],\n",
      "       ...,\n",
      "       [  10,   12, 3113, ...,  240,  223,  204],\n",
      "       [1425, 6783,   88, ...,   55,  328,   29],\n",
      "       [ 554,   23,  139, ...,   23,  204,   10]]), array([[ 150,   55,   20, ...,  911, 5526, 1984],\n",
      "       [   0,  101, 2559, ...,   12,    0, 1720],\n",
      "       [   0,   23, 1048, ..., 1685,    6,  227],\n",
      "       ...,\n",
      "       [1117, 3248,  111, ...,  112,    0,   23],\n",
      "       [2556,   18,  437, ...,   55, 6821,  100],\n",
      "       [   0,  223, 1810, ...,   55,   20,  818]]), array([[  55,   85,   12, ...,  214,  266,   53],\n",
      "       [2849,  224,   26, ..., 6758, 6767, 6768],\n",
      "       [  23,   64,   85, ...,  911,  898,  550],\n",
      "       ...,\n",
      "       [ 209,  100, 1856, ..., 1695,  100,  272],\n",
      "       [  12, 2528,   53, ..., 1163,   23,  987],\n",
      "       [ 911,  346,   23, ...,   85,   12,    0]]), array([[1580,    0,   46, ...,   29, 1692, 2380],\n",
      "       [6788,   12,  205, ..., 3748,  417,    0],\n",
      "       [ 907,  263,   51, ...,   85,  643, 6962],\n",
      "       ...,\n",
      "       [  23,  148,  863, ...,   23,    0,   12],\n",
      "       [1521,  160, 2522, ...,   81,  509, 3703],\n",
      "       [5463,    0, 2404, ...,    0,   46,   85]]), array([[2840,  842,    0, ..., 5349,  227, 2056],\n",
      "       [2056, 2411, 1096, ...,    0,    6,   42],\n",
      "       [1572, 1749,  552, ..., 1137, 4448,  540],\n",
      "       ...,\n",
      "       [ 557, 2404,  100, ...,  398,    0, 1023],\n",
      "       [ 350,    0,  159, ...,   18,  434,  815],\n",
      "       [ 392,  246,   18, ...,  842,    0, 2329]]), array([[ 274, 2629, 5468, ..., 2639,  387, 2404],\n",
      "       [3331,  125, 1073, ...,   29,  227, 2639],\n",
      "       [2404, 3331, 2404, ...,   18,  491,    0],\n",
      "       ...,\n",
      "       [  88,   51, 2710, ...,   23,    7,  710],\n",
      "       [1823,  223, 6770, ...,  274, 1425,   29],\n",
      "       [  51,    0, 1430, ..., 2629, 5468, 1411]]), array([[   2,   12, 1229, ...,   85, 4818,  575],\n",
      "       [ 136, 6770,   23, ...,    0,    0,  111],\n",
      "       [3170,    0, 7009, ..., 4434, 1685,   82],\n",
      "       ...,\n",
      "       [   2, 5292,   33, ..., 4153,   29,    0],\n",
      "       [  53,  227, 2639, ...,   48,  907,  102],\n",
      "       [  20, 3086,  349, ...,   12, 1229,   29]]), array([[  88,  129, 5395, ...,   12, 6530, 2670],\n",
      "       [4557,   18,    0, ..., 2639, 1162,  465],\n",
      "       [2418,   18, 1685, ..., 6784,  588,   61],\n",
      "       ...,\n",
      "       [   2, 2063, 1071, ..., 1346,   64,   17],\n",
      "       [4676, 2860, 4077, ...,  201,   12, 1394],\n",
      "       [  12,  639,    0, ...,  129, 5395,   21]]), array([[2815,  387,   10, ...,   10, 2376,  101],\n",
      "       [2976, 1087,  228, ...,  930,   29,    0],\n",
      "       [  23, 2009, 1685, ...,  111,  465, 2954],\n",
      "       ...,\n",
      "       [   0,   29,    0, ...,  227,  204,    0],\n",
      "       [1879,   23, 1376, ...,   17,   18, 3737],\n",
      "       [  26,    6,    0, ...,  387,   10,  123]]), array([[ 778,  494,  127, ...,  907,   14,  305],\n",
      "       [  29,  136, 2692, ...,  227,  112,  694],\n",
      "       [1096,  101, 1685, ..., 1315, 5091,   29],\n",
      "       ...,\n",
      "       [  10,  228, 2978, ..., 2451, 2354, 2367],\n",
      "       [  12, 2383, 2366, ...,   12,  160, 1191],\n",
      "       [  29, 6212, 6123, ...,  494,  127,   12]]), array([[  88,   98,  101, ...,  742,   33,  224],\n",
      "       [ 391,   55,   12, ...,  442,   23, 1063],\n",
      "       [1093,  785,    0, ...,   17,   12, 2768],\n",
      "       ...,\n",
      "       [  55, 7185,  590, ...,   81, 2838,   12],\n",
      "       [1112,   29,    0, ...,   23,  266,    0],\n",
      "       [  81, 2250,    0, ...,   98,  101, 1191]]), array([[  51, 2904,  107, ...,   12,   13,   50],\n",
      "       [ 907,    2,   55, ...,  214,  142,   88],\n",
      "       [ 232,   23,  241, ..., 4071,    6,  911],\n",
      "       ...,\n",
      "       [5654,  854, 7343, ...,   62,   55,  279],\n",
      "       [ 228, 1908,   23, ..., 7343,    7,    8],\n",
      "       [  11, 7189,  227, ..., 2904,  107, 4427]]), array([[5281,  100, 2243, ...,   55,   81,  274],\n",
      "       [  53,  228,  200, ...,  162, 3975,   10],\n",
      "       [ 228, 7311,  465, ..., 2243,  227, 1345],\n",
      "       ...,\n",
      "       [   0, 2398,  116, ..., 7327,  842, 4588],\n",
      "       [  12, 5278,  815, ...,   10,    0,   51],\n",
      "       [ 317,  224, 2409, ...,  100, 2243,  227]]), array([[1250,   23, 5689, ..., 4219,  328, 5342],\n",
      "       [  23,    0,  946, ..., 1720, 2089,   23],\n",
      "       [   0,    0,  142, ..., 2202, 1364,   53],\n",
      "       ...,\n",
      "       [ 852,   12,  585, ...,  112,  113, 1317],\n",
      "       [2763,  812, 3022, ..., 1836, 7054,   47],\n",
      "       [  18, 5820,  224, ...,   23, 5689,    0]]), array([[4974, 6263,   67, ...,   23,   51,    0],\n",
      "       [  33, 2613,    2, ..., 1745,  125,   29],\n",
      "       [ 136, 4635,    0, ..., 4670,   42,  639],\n",
      "       ...,\n",
      "       [6312, 4758, 2250, ...,  125,  624,    0],\n",
      "       [ 379,   26,   42, ..., 2713, 4758,   12],\n",
      "       [   0,   29,  911, ..., 6263,   67,   12]]), array([[ 174, 5807,   67, ...,  615,   29, 2376],\n",
      "       [2447,   48, 3412, ...,   69,   18, 3681],\n",
      "       [2465,  997,   29, ...,  150,   27,  642],\n",
      "       ...,\n",
      "       [   0,   29,  339, ...,   67,  101, 3184],\n",
      "       [1191,   23,  815, ...,   18, 1279,   29],\n",
      "       [ 118,   12,   13, ..., 5807,   67,   12]]), array([[  10,   11, 3331, ...,  535, 1523, 3146],\n",
      "       [ 954,  849,   12, ...,   23, 1200,  149],\n",
      "       [ 232,   67,  101, ...,   50,   88,   10],\n",
      "       ...,\n",
      "       [ 694,   26,    2, ...,   23, 2933,    1],\n",
      "       [   7,    8,   20, ...,    0, 4758,  588],\n",
      "       [ 987, 1545,   26, ...,   11, 3331, 7327]]), array([[   0,  125,  100, ..., 3100,  124,  911],\n",
      "       [7117,   88,   29, ...,   12,  297,   55],\n",
      "       [  81,  228,    0, ..., 1132, 6095,  227],\n",
      "       ...,\n",
      "       [   0,  107,  159, ...,    0,    0,  159],\n",
      "       [  14,  956,   10, ...,  907,  272, 1048],\n",
      "       [2377, 7010,    2, ...,  125,  100,  272]]), array([[7363, 7495, 7184, ...,   20, 3005,   29],\n",
      "       [  12,   52,  150, ...,  108,  535,   21],\n",
      "       [4938, 7012, 7012, ..., 5180,  735,  535],\n",
      "       ...,\n",
      "       [ 118,  100, 2243, ...,   21,  479,   36],\n",
      "       [7488, 4448,  100, ...,  112,   16,   85],\n",
      "       [  18, 5142, 2069, ..., 7495, 7184, 6765]]), array([[   2,    0,  856, ...,  297,   23, 6969],\n",
      "       [  29,  136,  639, ...,    0, 1275,   85],\n",
      "       [  51, 7110,    0, ...,    0, 3904,  236],\n",
      "       ...,\n",
      "       [7329,   47,    0, ...,    0, 1749,  911],\n",
      "       [1770,  343,   18, ...,    2,   12,    0],\n",
      "       [   0,  148,   88, ...,    0,  856, 7111]]), array([[   2,   12, 4405, ...,  254,  101,  482],\n",
      "       [  23,  319,   85, ...,   23, 3822,  118],\n",
      "       [ 107,    0,    0, ..., 7012, 7184,   23],\n",
      "       ...,\n",
      "       [  30,    7,   18, ...,  223,   85,   51],\n",
      "       [ 466,   23,    0, ...,   16, 1075,  224],\n",
      "       [ 102,   20,    0, ...,   12, 4405,   23]]), array([[2710,   85, 3145, ..., 1795,  542, 1612],\n",
      "       [ 111,   11, 7493, ...,    1,   18,    0],\n",
      "       [  74,    7,   88, ..., 7493, 1004, 2278],\n",
      "       ...,\n",
      "       [  37,   11, 7495, ...,   68, 1107,  228],\n",
      "       [2978, 1685, 6758, ..., 1153,  946,   12],\n",
      "       [ 108,   29,   18, ...,   85, 3145,   23]]), array([[3623,  722,  273, ..., 7495,   61,  709],\n",
      "       [  55,  227,  101, ...,   69,   18,  166],\n",
      "       [  23, 1093,  120, ...,  223,   10,   51],\n",
      "       ...,\n",
      "       [   7,    0,   21, ...,  295,  613,   23],\n",
      "       [ 613,  214,  102, ...,  359, 1545, 2427],\n",
      "       [  16,  791, 1685, ...,  722,  273,  118]]), array([[  88, 1709,  694, ...,   23,   17,   48],\n",
      "       [4400,    0,   67, ..., 2355, 6670,    0],\n",
      "       [7153, 6348,   23, ..., 3894,  540, 4974],\n",
      "       ...,\n",
      "       [1133,   10,    0, ...,  227, 3730, 6946],\n",
      "       [  10,  911, 1795, ...,   23,    2,   26],\n",
      "       [3894,  510,   55, ..., 1709,  694, 2451]]), array([[ 809, 3168, 1880, ...,  280, 1685, 6758],\n",
      "       [1162, 2529,  101, ..., 7598, 7599,    0],\n",
      "       [7153,  349, 2118, ..., 7153,  100,  534],\n",
      "       ...,\n",
      "       [ 432,  322, 2401, ..., 5700, 6348,   23],\n",
      "       [7104,  350, 2203, ..., 1685, 7153,  204],\n",
      "       [2427,  228,   43, ..., 3168, 1880,  223]]), array([[ 118,    6,  100, ..., 2480, 2450, 2149],\n",
      "       [1162,  204,  100, ...,  101, 1498, 1685],\n",
      "       [7153,   48, 1896, ...,   81,  154,  159],\n",
      "       ...,\n",
      "       [1004,    2,  472, ...,   85, 2383, 2396],\n",
      "       [7012,  561,  118, ...,  106, 7009, 1276],\n",
      "       [1107, 7012,   23, ...,    6,  100,  240]]), array([[  20,  121,   23, ...,  107, 7645,   23],\n",
      "       [1397,    0,    0, ..., 3319,  223,  227],\n",
      "       [  26,   14, 2241, ...,   10, 1160,   12],\n",
      "       ...,\n",
      "       [  12, 1765,  124, ...,  118,   88,   53],\n",
      "       [2710,    6,    7, ...,    0,  118,   10],\n",
      "       [ 101, 2481, 2710, ...,  121,   23,  349]]), array([[  23,  221, 2489, ...,    0, 1685, 7153],\n",
      "       [ 694,  673,  911, ...,  151, 2268,   26],\n",
      "       [  12,    0, 2310, ..., 7422,   88,   18],\n",
      "       ...,\n",
      "       [7673,  247,  954, ...,   26,   12,    0],\n",
      "       [   0,   23, 2376, ...,   50,   33,   12],\n",
      "       [ 856,  842,    0, ...,  221, 2489,   53]]), array([[ 369, 1425, 7598, ...,  228, 1827, 5518],\n",
      "       [6294,   55, 5518, ...,  534,    0,  179],\n",
      "       [ 227, 4782,  124, ..., 3010,   97,  101],\n",
      "       ...,\n",
      "       [2377,   23, 3782, ...,  251,  986,  105],\n",
      "       [ 136,  498, 3177, ...,  100,  534, 2855],\n",
      "       [ 227,  102, 2404, ..., 1425, 7598,  100]]), array([[6026,  151,    0, ...,  274, 1765,   84],\n",
      "       [ 223,   85,   18, ...,  136,   81, 1710],\n",
      "       [1315, 3177,  100, ..., 2354, 2355,   48],\n",
      "       ...,\n",
      "       [1508,    0,   29, ...,  114,   61,   50],\n",
      "       [ 540,   10,  115, ...,  377,    0,   53],\n",
      "       [  69,  317,  111, ...,  151,    0, 1444]]), array([[1388,  228, 2021, ...,  945, 1490, 2672],\n",
      "       [ 101,  729,  214, ..., 2404, 7688,  555],\n",
      "       [ 228, 1334, 1163, ...,  356,   53,  885],\n",
      "       ...,\n",
      "       [5189,   10,  228, ...,    0,    0,  337],\n",
      "       [  12, 4802, 1029, ...,  630,   10,    0],\n",
      "       [ 337,  159, 1527, ...,  228, 2021,   23]]), array([[5981, 1839,    0, ...,   12, 5834,    0],\n",
      "       [  85,   12, 1955, ...,  660,    0,    0],\n",
      "       [   0,   18,  198, ...,   12, 4459, 3782],\n",
      "       ...,\n",
      "       [ 102,  262,   78, ...,  100,  179,  228],\n",
      "       [  59,  588,  101, ...,  715,  993,  100],\n",
      "       [ 382,  266,  162, ..., 1839,    0, 7340]]), array([[ 228,  274,  603, ...,  174,   88,  100],\n",
      "       [ 262,  227,   53, ..., 2055,    4,  417],\n",
      "       [7603,  136,   81, ..., 2357, 2692,    0],\n",
      "       ...,\n",
      "       [   0,   10,    0, ...,  369, 1026,  165],\n",
      "       [4229,  509,  253, ...,   81,  791,  204],\n",
      "       [ 274,  101, 2387, ...,  274,  603,  417]]), array([[ 842,    0,  115, ...,   88,  356,   18],\n",
      "       [ 811,  264,  238, ...,  279,   38,   51],\n",
      "       [4635,  482,  124, ...,   10, 1310,  387],\n",
      "       ...,\n",
      "       [1184, 6532,  136, ...,   50,   53, 1021],\n",
      "       [ 224,   58,   88, ...,  266,  465,   81],\n",
      "       [  27, 1359,   50, ...,    0,  115, 1254]]), array([[7728, 7073,   23, ...,  242,   55,  954],\n",
      "       [  20,    7,  710, ...,    0,  118,   53],\n",
      "       [ 100,  534, 1583, ...,   14, 6213,   23],\n",
      "       ...,\n",
      "       [2333,  475, 7247, ..., 2109,   12, 1991],\n",
      "       [  29,    0,   98, ..., 6053,    6,   50],\n",
      "       [  18, 3619,    0, ..., 7073,   23, 7184]]), array([[ 322, 2070,  349, ..., 6445, 2398, 7721],\n",
      "       [  23,  908, 7730, ...,  643,  228, 2919],\n",
      "       [  14,  246,  328, ..., 3596,  107,   37],\n",
      "       ...,\n",
      "       [ 101, 1239,   26, ...,   10,   12, 7386],\n",
      "       [ 208,  100,   10, ...,   81,   50, 4762],\n",
      "       [2398,   12, 1442, ..., 2070,  349,   26]]), array([[7034,  308,  385, ..., 4782,  149, 1685],\n",
      "       [3331,   26, 4087, ...,    0,   12, 1071],\n",
      "       [  29,   18, 1964, ...,    0,   17,   12],\n",
      "       ...,\n",
      "       [7788,   18,  610, ..., 1175, 3802,   10],\n",
      "       [2333, 7784,   53, ..., 1285,   34, 3082],\n",
      "       [  20,   24, 1531, ...,  308,  385,   29]]), array([[4119,   18, 3805, ...,   81,   18,    0],\n",
      "       [ 150,  967,  973, ...,  150,  118,   88],\n",
      "       [3333, 4120,  228, ..., 4119, 4120,   20],\n",
      "       ...,\n",
      "       [ 111,  911, 1163, ..., 2137,  223,  100],\n",
      "       [ 738,  224,   14, ...,   51, 2832, 5456],\n",
      "       [ 911,  705,  911, ...,   18, 3805, 1114]]), array([[  88, 2472, 7786, ...,  295,   37,   36],\n",
      "       [2761,   61,    0, ..., 4771,   29, 3338],\n",
      "       [ 150,  967,   20, ...,   23,  106,  729],\n",
      "       ...,\n",
      "       [   0, 1307,  118, ...,  111,  102,  907],\n",
      "       [  67,   23,   88, ..., 4119,  111,  301],\n",
      "       [ 142,  136,   18, ..., 2472, 7786,  102]]), array([[2040,   18,  772, ...,   26,  125,  224],\n",
      "       [  14, 3715, 4119, ...,   23,  900, 7312],\n",
      "       [  55,  102, 1425, ..., 3338,   23,  266],\n",
      "       ...,\n",
      "       [1068,  247,  359, ...,  240,  118,  228],\n",
      "       [ 478, 4119,   23, ..., 3477,  738,  228],\n",
      "       [2387, 4419,   23, ...,   18,  772,  863]]), array([[  50,  434,  102, ...,    0,  348, 4119],\n",
      "       [2427,  227,  226, ..., 1285,   12,    0],\n",
      "       [  10, 3261,  322, ..., 1713, 4120,   29],\n",
      "       ...,\n",
      "       [  26,    0,    2, ...,  136,  475, 5957],\n",
      "       [2387,  382,  490, ...,   39, 3111,   29],\n",
      "       [3141,  238,  147, ...,  434,  102,  332]]), array([[2713, 3177, 6775, ...,  958,  996,   23],\n",
      "       [ 149,  224,  102, ..., 1440,  465,  262],\n",
      "       [  26,  907,  272, ...,   18,  294,   14],\n",
      "       ...,\n",
      "       [  55, 7829,  272, ...,  908,    0,   10],\n",
      "       [  18, 2054, 6866, ...,  359,   12, 7499],\n",
      "       [  29,   51,    0, ..., 3177, 6775, 6775]]), array([[  52,  223,  232, ...,    0, 6866,  136],\n",
      "       [  81,   88, 3471, ...,   23,  815,  240],\n",
      "       [  16,    0, 7812, ...,  552,  189,   12],\n",
      "       ...,\n",
      "       [ 725,  228,  265, ..., 6522, 4270,  392],\n",
      "       [ 595,   12, 1201, ..., 2392, 6866,   85],\n",
      "       [  12, 3248, 2404, ...,  223,  232,   39]]), array([[ 205,    7,  979, ..., 2529, 5805,  150],\n",
      "       [ 208,   21,  241, ...,   55,  209,   18],\n",
      "       [1291,  439,   55, ...,   26, 2235,  149],\n",
      "       ...,\n",
      "       [ 929,   12, 2629, ..., 6076,  491, 2451],\n",
      "       [2354, 2361,   18, ...,  842,   88, 3471],\n",
      "       [ 228, 4775,    0, ...,    7,  979,   36]]), array([[  29, 2376,   97, ...,   21,  264,   81],\n",
      "       [  26,  224,   37, ...,   16,   23,    7],\n",
      "       [   8,  291,   18, ...,   14,   88, 1306],\n",
      "       ...,\n",
      "       [  97, 2446,  223, ...,  407,  111,  778],\n",
      "       [2882,  227, 2404, ...,  710,  438,   30],\n",
      "       [1040,  943,    0, ..., 2376,   97, 3697]]), array([[  12,    0,  739, ...,  201,   61,  540],\n",
      "       [ 966, 1137,  227, ..., 4345,  224,  263],\n",
      "       [  18,  622, 6230, ...,  860, 2922,   23],\n",
      "       ...,\n",
      "       [ 399,    2,  127, ...,   41, 6775,    7],\n",
      "       [  30, 3128, 1091, ...,  272,  227,  758],\n",
      "       [ 231,  540,  272, ...,    0,  739,   61]]), array([[ 963,   29,  434, ..., 6369,  223,  124],\n",
      "       [1806, 1093, 4084, ..., 1532,  908, 4236],\n",
      "       [  29,  481,  609, ..., 4071,   10, 4704],\n",
      "       ...,\n",
      "       [ 223,  201, 7868, ...,  272,  818,  238],\n",
      "       [ 102,  179, 7868, ...,   20,  695, 2451],\n",
      "       [7868,   23, 7852, ...,   29,  434,    0]]), array([[ 125,   81, 2293, ..., 5192,   23,  542],\n",
      "       [ 417,  359, 4067, ...,    0,   81,    2],\n",
      "       [  62,  978,  224, ...,   12, 4802,   29],\n",
      "       ...,\n",
      "       [2416, 7870,  227, ..., 1885,  107, 5405],\n",
      "       [  12, 5465,   55, ...,  491, 7871,   48],\n",
      "       [ 100,  954,  954, ...,   81, 2293,    0]]), array([[2450,  150,   12, ..., 3817,  228,  478],\n",
      "       [  81,    2, 7852, ..., 2451, 7871,   23],\n",
      "       [7870, 7852,   39, ...,   12,  123, 1098],\n",
      "       ...,\n",
      "       [   0,    0,    0, ...,    0,   10,  115],\n",
      "       [5552, 5537, 7858, ..., 2404, 2045, 7868],\n",
      "       [2203,   10, 7852, ...,  150,   12, 1468]]), array([[   0,    7,   74, ...,    0,   82, 6371],\n",
      "       [5033,   85,   18, ..., 7752,  349,   39],\n",
      "       [  12, 2719, 5753, ...,    7,    0,   17],\n",
      "       ...,\n",
      "       [  33, 2975, 1687, ...,   10, 7871,   23],\n",
      "       [ 254,   88,    0, ...,  208,  227,  535],\n",
      "       [6117,   11,   33, ...,    7,   74, 7749]]), array([[1276, 1475,  581, ...,   81,  958, 7852],\n",
      "       [  88,   61, 2404, ..., 7860,   39, 3737],\n",
      "       [ 100, 1544, 1106, ...,  534,  107,  214],\n",
      "       ...,\n",
      "       [  12, 7567,   29, ...,   29,  295, 3087],\n",
      "       [ 535,  214, 6345, ...,   20,  748, 7909],\n",
      "       [ 227,  102,   20, ..., 1475,  581,    7]]), array([[  12,    0,  621, ..., 2916,  107,    0],\n",
      "       [3612,   85, 3612, ...,  986,  253,  224],\n",
      "       [2824,  118,  124, ...,   50, 1123, 1040],\n",
      "       ...,\n",
      "       [  12, 1052,   29, ...,   12,  610,  478],\n",
      "       [  29, 1293,  100, ...,  174, 3246,   88],\n",
      "       [5370,   85,  295, ...,    0,  621,   51]]), array([[7906,  136, 6750, ..., 1184,  135,   12],\n",
      "       [6445, 2398, 7912, ...,  731, 2318, 6999],\n",
      "       [  51,  344,  311, ...,   67, 7030, 1438],\n",
      "       ...,\n",
      "       [ 389,   23, 1033, ...,   88, 2780, 6374],\n",
      "       [  20,    0,  517, ...,    0,  274, 4914],\n",
      "       [ 660, 1817, 1093, ...,  136, 6750, 7107]]), array([[ 141, 1164,   10, ...,   23,  764,   51],\n",
      "       [ 482,  387,   17, ...,  239,    0,  463],\n",
      "       [  81,   17,   12, ...,  873,   18,    0],\n",
      "       ...,\n",
      "       [6308,  997,   85, ..., 2759, 3889,    2],\n",
      "       [ 136, 1712, 1192, ...,  204,   81, 2061],\n",
      "       [  27,  162,   55, ..., 1164,   10,  262]]), array([[3208, 7908,   36, ...,  179,   55,  234],\n",
      "       [ 100,  266,   18, ...,   12, 5514,   26],\n",
      "       [ 389,   17,  297, ...,  761, 2831, 2664],\n",
      "       ...,\n",
      "       [2291, 4038,  272, ...,  907,  174,   88],\n",
      "       [ 179,  907, 3067, ...,  224,  207,   11],\n",
      "       [2398, 7936, 3288, ..., 7908,   36,  266]]), array([[7936, 3288,   36, ...,  149,    6,  735],\n",
      "       [  20,  274, 3801, ..., 6982,  100,  174],\n",
      "       [1645,  343, 3015, ...,   29,   23, 7293],\n",
      "       ...,\n",
      "       [ 214,  115, 4655, ..., 1290,  907,  535],\n",
      "       [ 154,   10,   20, ...,    0, 2915,   67],\n",
      "       [  12,    0, 3618, ..., 3288,   36,  290]]), array([[  88, 7203,    6, ...,   23,   82, 5610],\n",
      "       [ 506, 1430, 1430, ...,  227,   23,  101],\n",
      "       [  52, 2475,  761, ...,  214, 2175,   53],\n",
      "       ...,\n",
      "       [  53,  118,  232, ...,  100,   14,  129],\n",
      "       [ 343,  227,  826, ...,   26,    0,   81],\n",
      "       [  18,    0,    0, ..., 7203,    6,  227]]), array([[ 292,  291,  136, ..., 1132,   18,   93],\n",
      "       [2475,  761, 1036, ...,  270,  154,  987],\n",
      "       [  10,    0, 1541, ...,  174,   23,  272],\n",
      "       ...,\n",
      "       [ 107,   17,  107, ...,  224,  263,   61],\n",
      "       [2727,  224,  148, ...,   23,   85,    0],\n",
      "       [   0,   12,  275, ...,  291,  136,  856]]), array([[ 223,   61, 1356, ...,   18,    0, 7682],\n",
      "       [ 100,  174,   88, ...,  136, 7682,   20],\n",
      "       [1028, 7934,   50, ..., 1414, 5669,  228],\n",
      "       ...,\n",
      "       [  29,  101,    0, ...,  159,   81,  249],\n",
      "       [  23,  103,  105, ...,   42,    0,    0],\n",
      "       [  67,   42, 5919, ...,   61, 1356,  967]]), array([[   0,  100,   94, ...,   10, 7949,   10],\n",
      "       [ 249, 7785,  208, ...,  308,  585,   81],\n",
      "       [   0,   29,  136, ...,  542,   10,   20],\n",
      "       ...,\n",
      "       [ 735, 2222, 1882, ..., 7958,    6,    7],\n",
      "       [  38,  851,  100, ...,  272,   88,  154],\n",
      "       [ 274, 4238, 7954, ...,  100,   94,    0]]), array([[1731,   12, 2208, ..., 7968,   39,  228],\n",
      "       [ 973, 2404, 7958, ...,   53,  136, 7762],\n",
      "       [3022,  100,  534, ...,  249, 7971, 7958],\n",
      "       ...,\n",
      "       [ 326,  270,  343, ...,  516,  295,    0],\n",
      "       [  26,  326,   82, ..., 3105, 1056,   12],\n",
      "       [  91,    0,   48, ...,   12, 2208, 7968]]), array([[   7, 7558, 1009, ...,   97,   62,   20],\n",
      "       [2433, 6026,   21, ...,  939, 6098,   67],\n",
      "       [  12, 3081,   29, ...,   42,   41, 4795],\n",
      "       ...,\n",
      "       [   0, 1653,  136, ...,  153,   81,   12],\n",
      "       [2155,  227, 2241, ..., 3502, 7963,   67],\n",
      "       [  47, 3323,  207, ..., 7558, 1009,  125]]), array([[1764, 2477,  811, ...,    0,   10, 1293],\n",
      "       [  68,   23,  394, ...,  879,   29, 2259],\n",
      "       [ 100,  272, 2418, ...,   88, 1660,   10],\n",
      "       ...,\n",
      "       [  51,  434,   29, ...,   23,  907,   14],\n",
      "       [1741,  141,  521, ...,    0,  100,  142],\n",
      "       [   0,   85,   12, ..., 2477,  811,  105]]), array([[2354, 2360,   18, ...,    2, 7990,  250],\n",
      "       [2354, 2360,   18, ...,    2,   12, 3054],\n",
      "       [5328, 2354, 2365, ..., 1892,   10,    0],\n",
      "       ...,\n",
      "       [ 349,   18,  945, ...,  100, 3942, 3942],\n",
      "       [ 204, 2278,  162, ...,   62,  118,   39],\n",
      "       [ 118,  121,  369, ..., 2360,   18, 1254]]), array([[  18,  475, 3291, ...,  983,  118, 1162],\n",
      "       [   0,   18, 5132, ..., 1892,   23,  561],\n",
      "       [ 118,  100,  842, ...,   12, 1362,   97],\n",
      "       ...,\n",
      "       [ 227,   53, 7351, ...,  150,  967, 6646],\n",
      "       [ 204, 4147,  387, ...,  866, 1419, 2488],\n",
      "       [2404,   12,    0, ...,  475, 3291,   47]]), array([[  29,   45,  100, ...,    0,   29,    0],\n",
      "       [  18,  622, 1750, ..., 7225, 7991, 1368],\n",
      "       [1276,  742,   10, ..., 3055, 2398, 1892],\n",
      "       ...,\n",
      "       [  61, 2404,  197, ..., 5291,   23,  112],\n",
      "       [  51, 3228,   18, ...,  227,  102,  578],\n",
      "       [ 107,  274,  276, ...,   45,  100,    0]]), array([[   0, 2020, 6535, ...,    0,    2,   12],\n",
      "       [4691,   18,    0, ...,  322, 4691,  100],\n",
      "       [   0,    0,  925, ...,  498,   48,    0],\n",
      "       ...,\n",
      "       [2387,  319,  874, ...,   10,   12, 2807],\n",
      "       [ 349,  694,   55, ...,  214,  207,  141],\n",
      "       [  20,  846,   23, ..., 2020, 6535, 4681]]), array([[ 125,  346,  159, ..., 7131,  564, 3301],\n",
      "       [  36, 1733,  228, ..., 6784, 3819,   27],\n",
      "       [ 162,    0,  208, ..., 2427,  227,   18],\n",
      "       ...,\n",
      "       [1885,   62,   81, ..., 3146,  204,   10],\n",
      "       [  12, 2103,   14, ..., 8012, 8013, 3326],\n",
      "       [8014, 8015,   23, ...,  346,  159,   10]]), array([[2377,   23, 7486, ...,   18, 1521,  274],\n",
      "       [3861,   29,  669, ..., 1075,   53, 8016],\n",
      "       [3326,   47,   81, ...,    0, 1461,   10],\n",
      "       ...,\n",
      "       [ 228, 6581,   81, ..., 4448, 1570, 4448],\n",
      "       [ 915, 2451,    0, ...,   17, 1191, 5516],\n",
      "       [7844,  246, 1068, ...,   23, 7486,    0]]), array([[ 228,  369,  174, ...,  219, 3106, 2115],\n",
      "       [ 201,   23, 1075, ...,  663, 3326,  742],\n",
      "       [  12,    0,   12, ...,   61, 8020,  100],\n",
      "       ...,\n",
      "       [ 118,   23,   42, ...,   37,  141,   10],\n",
      "       [3764,  552,  242, ..., 2328,  889,  189],\n",
      "       [3159, 1393,   58, ...,  369,  174,  227]]), array([[  41,  174,    0, ...,  597, 8019, 2137],\n",
      "       [1839,   24, 1839, ...,   29, 4947,  790],\n",
      "       [   0,   85, 8005, ...,  911, 3146,  273],\n",
      "       ...,\n",
      "       [8039, 4833,   10, ..., 7952, 1683,  136],\n",
      "       [6845, 3759, 2706, ...,    0,  746, 1346],\n",
      "       [   0,  100,  291, ...,  174,    0,   51]]), array([[  29,   18, 3202, ...,   61,  359,   26],\n",
      "       [ 609,  382,   88, ...,  105,   10,  609],\n",
      "       [   0, 8039,  100, ..., 7980, 2706,   97],\n",
      "       ...,\n",
      "       [3555,   55,   81, ...,  582,   12,  557],\n",
      "       [  29, 2450, 1595, ...,  223,   18, 4608],\n",
      "       [   0, 2158,  111, ...,   18, 3202,  224]]), array([[  76,    7,  115, ...,  929,   55,  272],\n",
      "       [3664,   51,    0, ..., 1084,   42,  159],\n",
      "       [  81,  359, 3925, ...,  100,  842,   12],\n",
      "       ...,\n",
      "       [  64,  266,    7, ..., 2335,  101, 2380],\n",
      "       [   6,    0,  118, ...,  660,   10,   12],\n",
      "       [ 919,   29,   51, ...,    7,  115,   18]]), array([[8033, 6897,  100, ..., 4654, 3089, 8033],\n",
      "       [ 100,  272,   12, ..., 2794,   55, 6691],\n",
      "       [ 270,  266,  100, ...,  124,    0, 3379],\n",
      "       ...,\n",
      "       [  10,   42,    0, ...,   29,  526,  491],\n",
      "       [   0,   26,  125, ...,   81,  238, 1220],\n",
      "       [1682,    2,   12, ..., 6897,  100,  534]]), array([[ 297,   29,   42, ...,  279,  101, 1439],\n",
      "       [   4, 5350,  118, ...,  136, 1167,  228],\n",
      "       [2392,  232,   12, ...,  136,   47,   14],\n",
      "       ...,\n",
      "       [  50, 2020, 1239, ...,  100,   14, 3595],\n",
      "       [ 223,   18, 1525, ...,   53,  125,   29],\n",
      "       [ 101,  274,  381, ...,   29,   42,  735]]), array([[  14,  917,   55, ..., 8039,   26, 1441],\n",
      "       [   2,   12,  178, ..., 5767,   23,   18],\n",
      "       [4449,    2, 4222, ...,   23,  349,  273],\n",
      "       ...,\n",
      "       [ 157,  534,  100, ...,  100,  863,  162],\n",
      "       [ 105,    0,   10, ...,   69, 3100,  100],\n",
      "       [ 534, 1480, 2334, ...,  917,   55,   53]]), array([[  55,   81,  268, ...,    0,   10,  136],\n",
      "       [ 920,  224,  501, ..., 6678, 1908,  111],\n",
      "       [2176,   55,   39, ...,  174,  241,   29],\n",
      "       ...,\n",
      "       [ 174, 1469,   12, ..., 1350,   61,    0],\n",
      "       [ 268,  954, 1930, ...,  417,  115,   12],\n",
      "       [6651, 1590,  118, ...,   81,  268,    0]]), array([[  55,   81, 8046, ..., 2208,   55,   81],\n",
      "       [  12, 7704,   29, ..., 5292,    2,   12],\n",
      "       [6445, 2398, 8045, ..., 6779,  274,  183],\n",
      "       ...,\n",
      "       [  89,  233,   21, ...,  890,   26,  535],\n",
      "       [  88, 4554,  228, ...,   47,  710,    7],\n",
      "       [2568, 8049,  274, ...,   81, 8046,  508]]), array([[ 118,   29,   26, ...,   12,    0, 4790],\n",
      "       [ 125,   49,    0, ...,   50, 1679,    0],\n",
      "       [  81,  107,  639, ...,   10,   20,  624],\n",
      "       ...,\n",
      "       [1167,   81,  811, ..., 8049,  350,  227],\n",
      "       [3843, 4362, 1641, ...,   12,  125,  224],\n",
      "       [2945,  174,   50, ...,   29,   26,  125]]), array([[ 228,   19,  100, ..., 2529,   88,  892],\n",
      "       [  50,  270,   38, ...,  123,  224,   33],\n",
      "       [ 224, 3270,   29, ...,  227,  240,  118],\n",
      "       ...,\n",
      "       [ 915, 2882,  956, ...,  535,    0,   21],\n",
      "       [ 663,    0,  102, ...,   18, 1040,  183],\n",
      "       [ 735,   37,   20, ...,   19,  100,  266]]), array([[3082,   81,  136, ..., 2629, 8049,   47],\n",
      "       [ 535,  227,  232, ..., 8058,   23, 7959],\n",
      "       [  47,  535,  227, ...,  576,   81,  136],\n",
      "       ...,\n",
      "       [ 107,  735,  335, ...,  100,  534,   27],\n",
      "       [   0,  270,  100, ...,  227,   14,  120],\n",
      "       [5072,   55,  227, ...,   81,  136,   26]]), array([[ 382,   24,  225, ...,   23,  228,  896],\n",
      "       [  12, 4334,  247, ...,  343,   21,    4],\n",
      "       [  53, 2529,   48, ...,   18,  625,   29],\n",
      "       ...,\n",
      "       [4189, 2472,   55, ..., 2282,  509,  253],\n",
      "       [ 815, 4350,   12, ...,   12, 1541,    0],\n",
      "       [   0,    0,    0, ...,   24,  225,  241]]), array([[ 873,  343,   51, ...,   51, 4781,   18],\n",
      "       [7807,   29, 6983, ...,   58,   51, 1391],\n",
      "       [  23,   14,  125, ..., 5013, 2681, 8059],\n",
      "       ...,\n",
      "       [1254,    2,    0, ..., 5083,  178,   50],\n",
      "       [ 939,    0,   39, ...,   88, 6527,  673],\n",
      "       [ 337,  227,   37, ...,  343,   51,    0]]), array([[8061,    0,   23, ...,  691,   42,  885],\n",
      "       [  12,  482,   23, ..., 1984,    2,  911],\n",
      "       [1648,    0,  474, ...,   24,    0,   85],\n",
      "       ...,\n",
      "       [5047,  232,  907, ..., 4567,    0, 1112],\n",
      "       [  10,   38,  124, ...,  102,   20,    0],\n",
      "       [ 709,  227,  941, ...,    0,   23, 1157]]), array([[ 239,   10,   12, ...,   81,  228,   14],\n",
      "       [8066,   26,  224, ...,  908, 5336, 6842],\n",
      "       [  23,  208,   67, ...,  960,   12,  138],\n",
      "       ...,\n",
      "       [   0,  864,  101, ...,   50,   10, 2403],\n",
      "       [ 125,  209,  907, ..., 6983, 2380, 6657],\n",
      "       [2403,  911,    0, ...,   10,   12, 4041]]), array([[2408,  233,   12, ..., 1718,    0,    2],\n",
      "       [  16,   27, 6254, ...,  151, 6388,   39],\n",
      "       [  12, 4803, 1371, ...,   23, 7563,  344],\n",
      "       ...,\n",
      "       [  23,   61,   49, ...,  174, 2480,  238],\n",
      "       [2272, 1199,  911, ...,   35,  993,  279],\n",
      "       [  12, 7209,   29, ...,  233,   12, 5155]]), array([[ 842, 1093, 3202, ...,  233,   51,  729],\n",
      "       [  51, 2713,    0, ...,  148,  409, 3116],\n",
      "       [1685, 6348, 1162, ...,   88, 7125,  120],\n",
      "       ...,\n",
      "       [  88,   12, 2357, ...,   50,  247, 1683],\n",
      "       [ 232, 2398, 2404, ...,   47,  869,   81],\n",
      "       [  55,   10,   20, ..., 1093, 3202,    0]]), array([[  36,  107,  967, ...,   12,   13,  142],\n",
      "       [ 141,    0,   10, ..., 3839,    0, 3055],\n",
      "       [ 233,   21, 1879, ..., 3838,   61,  548],\n",
      "       ...,\n",
      "       [ 118,   61, 7668, ...,  224,   23,  270],\n",
      "       [1658,    6,  290, ...,  232, 2559, 3414],\n",
      "       [  12, 1879,  232, ...,  107,  967, 1405]]), array([[1075,   23,  997, ...,  101, 1713,   24],\n",
      "       [ 534,  100, 1685, ..., 1000,   12, 3064],\n",
      "       [ 100,  240,  100, ...,  540,  100,   14],\n",
      "       ...,\n",
      "       [ 118,   51,    0, ..., 2145,  125, 3078],\n",
      "       [ 343,  101,  482, ...,   55,  272, 5492],\n",
      "       [5105,   10,  322, ...,   23,  997,   29]]), array([[6208, 3954, 2593, ...,   21, 3075, 1685],\n",
      "       [  33,    7,  497, ...,   61,  423,   30],\n",
      "       [   0,   26, 1191, ...,  101, 2593,  478],\n",
      "       ...,\n",
      "       [  50,  869,   29, ...,   29, 6348, 7011],\n",
      "       [  18,  491,   26, ...,   29, 7495,   23],\n",
      "       [8091, 7495,  274, ..., 3954, 2593, 3596]]), array([[  88,  118,   20, ...,   27,    0, 3308],\n",
      "       [1765, 7596, 1632, ...,  197,  227, 6313],\n",
      "       [  85,  223, 7495, ...,   81,  112,   12],\n",
      "       ...,\n",
      "       [  10, 7428,   81, ..., 7390,  238, 1921],\n",
      "       [   2,   21,  568, ...,  174,  815,  755],\n",
      "       [ 227,    2,   12, ...,  118,   20,  227]]), array([[3697,   12, 2377, ...,  100,  208, 1525],\n",
      "       [ 107,    7,   74, ...,   12, 4785, 1685],\n",
      "       [7153, 1583, 1765, ...,  102,  557,   10],\n",
      "       ...,\n",
      "       [ 272,   55,   61, ..., 3596,   48,    6],\n",
      "       [ 214,  120,  100, ...,   88, 5766,   39],\n",
      "       [  51, 4854,    0, ...,   12, 2377,  102]]), array([[6175,   10,  920, ..., 2413, 4261, 8100],\n",
      "       [ 224,   53,   51, ..., 8100,   23,  107],\n",
      "       [  55,  142,  673, ...,  139, 5330,   20],\n",
      "       ...,\n",
      "       [ 115,   27, 2255, ..., 1594,  535, 3625],\n",
      "       [  23, 3670,  141, ..., 1685,   29, 2376],\n",
      "       [ 735,  885,  555, ...,   10,  920,   47]]), array([[7851,    0,   39, ...,  697,   29, 1748],\n",
      "       [   6,   88,   10, ...,   75,  322,  900],\n",
      "       [2155, 6348, 1981, ...,   12,  406,  228],\n",
      "       ...,\n",
      "       [3105, 2753,   29, ..., 1558,  106, 2450],\n",
      "       [1765, 7596,  201, ...,    0,   10,  526],\n",
      "       [ 406,   29,  509, ...,    0,   39,   42]]), array([[ 925,   26,   12, ...,  101, 2392,  124],\n",
      "       [  21, 1358,   61, ...,  115,   42, 1765],\n",
      "       [  29, 4767, 1765, ..., 6348,   26,  148],\n",
      "       ...,\n",
      "       [1629,    2,  284, ...,   29,  141,   26],\n",
      "       [ 100,  263,    0, ..., 7036,   67,  322],\n",
      "       [4450, 1685, 6348, ...,   26,   12, 1852]]), array([[  12,    0,    0, ..., 2568,   10, 4869],\n",
      "       [ 124,  118, 2451, ...,  474, 5704,    2],\n",
      "       [  18, 7305,    0, ..., 1745,  343,   12],\n",
      "       ...,\n",
      "       [3483,  101, 2392, ...,   47,   81,  228],\n",
      "       [  14, 2450, 8115, ..., 8115, 2975,   88],\n",
      "       [2974,  546,  815, ...,    0,    0, 1038]]), array([[ 147,  387,    0, ...,  102,  159, 2488],\n",
      "       [ 100, 1492,   55, ...,  101, 2380,   23],\n",
      "       [ 227,  142,  204, ...,   27, 1187,  100],\n",
      "       ...,\n",
      "       [3394,    0,  100, ...,   24,  350,  465],\n",
      "       [   0,  540,  100, ...,  478,   17,   18],\n",
      "       [ 639, 5101,    2, ...,  387,    0, 7866]]), array([[  69,  236,    0, ...,  261,    9,   10],\n",
      "       [ 273, 2447, 2354, ...,   12,  518, 1580],\n",
      "       [  51, 5803,  421, ..., 1558,   29, 5085],\n",
      "       ...,\n",
      "       [8117,  559,    0, ...,   39,   23,   39],\n",
      "       [1683,  552,   10, ...,   81,   18, 3309],\n",
      "       [  10,   12, 7599, ...,  236,    0,  100]]), array([[8106, 3242,  223, ...,  100,  272,   48],\n",
      "       [ 784,    2,  228, ...,  542,  510,   79],\n",
      "       [ 150, 8106,  226, ..., 5802, 4906,   69],\n",
      "       ...,\n",
      "       [ 238,  938,  546, ...,   55,  160,  227],\n",
      "       [1616,   85,   12, ...,  111,    6,   55],\n",
      "       [ 197,   88,  228, ..., 3242,  223,  224]]), array([[2460,  118, 5531, ..., 1359,   10,  356],\n",
      "       [ 118,  694, 1412, ...,   10,   11, 2447],\n",
      "       [2318, 2369,  100, ..., 3605,   45, 6797],\n",
      "       ...,\n",
      "       [ 937, 3952,   29, ...,  249, 1954,  812],\n",
      "       [3548,  232,   81, ...,  207, 2416,   23],\n",
      "       [ 542, 2176,  100, ...,  118, 5531,  359]]), array([[  62,   16,  811, ...,  112,   16, 1885],\n",
      "       [ 214,  621, 1892, ...,   47, 1014,  101],\n",
      "       [ 491,   33,  101, ...,   21,  478,  123],\n",
      "       ...,\n",
      "       [  23,  136, 2577, ...,    0,   23,   12],\n",
      "       [   0,  251,   10, ..., 5950,   23,  929],\n",
      "       [  18, 4906, 2472, ...,   16,  811,  105]]), array([[  53,  540,  100, ...,  228,  508, 8134],\n",
      "       [  10, 5055,   42, ...,  227,  142,   29],\n",
      "       [5857,    0, 5908, ...,   17,   18, 1291],\n",
      "       ...,\n",
      "       [1419, 3346,   23, ...,  227,  535, 1521],\n",
      "       [1276, 2404,   10, ..., 1286,   85, 8135],\n",
      "       [8121,   23, 8132, ...,  540,  100, 7549]]), array([[ 101,  264,   36, ...,  380,   29,  101],\n",
      "       [5027,   23,    2, ...,   33,   12, 1213],\n",
      "       [ 505,   81,   36, ...,  376,  308, 1068],\n",
      "       ...,\n",
      "       [  20, 8133,  150, ..., 2404,  214,   20],\n",
      "       [4071,   12,    0, ...,  815,   88,   20],\n",
      "       [ 791,  500,  100, ...,  264,   36,   23]]), array([[ 332,  101,  972, ..., 3112,  227,   26],\n",
      "       [1064,   67,   42, ...,   29,   47,   81],\n",
      "       [ 509,  369,  159, ..., 7980, 8137,  464],\n",
      "       ...,\n",
      "       [ 227,   23,   53, ..., 4071,   23,    0],\n",
      "       [ 123,  704,   10, ...,    0,   62,  101],\n",
      "       [2392,   23,  159, ...,  101,  972, 8134]]), array([[ 102,  272,  101, ..., 8134,   81,    0],\n",
      "       [  24,   23, 3611, ...,  471,   81,  136],\n",
      "       [  26,  112,   61, ...,   17,   10,   20],\n",
      "       ...,\n",
      "       [   0, 1093, 3468, ..., 1240,   29, 6041],\n",
      "       [   2,   16,  100, ...,  272,    0,   10],\n",
      "       [ 273,  118,   47, ...,  272,  101, 2392]]), array([[ 174,   88,  738, ...,  105,   48,    0],\n",
      "       [ 101,  750,    0, ...,  540,    7, 2880],\n",
      "       [ 232,    7,  128, ...,  101, 2392,   23],\n",
      "       ...,\n",
      "       [ 510,   29, 3327, ...,    0, 3916,  111],\n",
      "       [4522, 2313,    0, ..., 2640, 8145,  100],\n",
      "       [ 148,   85,   69, ...,   88,  738,    7]]), array([[  10, 2840, 3852, ...,   47,   18, 2069],\n",
      "       [ 842,  465, 1326, ...,  208,    0, 3286],\n",
      "       [1490,  274,  101, ..., 2326,  100,  356],\n",
      "       ...,\n",
      "       [ 208,   27, 2692, ...,  319,  232,  100],\n",
      "       [  14,  555,  708, ...,   53,  123,    0],\n",
      "       [   0,   12,    0, ..., 2840, 3852,    0]]), array([[3286,  100,  266, ...,  729, 3245, 8145],\n",
      "       [5531,  236, 1839, ..., 2196,  387,   10],\n",
      "       [ 118,   23,  815, ...,  214,  535,   29],\n",
      "       ...,\n",
      "       [  10, 2677,  266, ..., 5250,    0, 4647],\n",
      "       [  23,    0,    0, ...,  142, 1048,    0],\n",
      "       [2673, 8147, 2203, ...,  100,  266, 3022]]), array([[ 292, 8143, 2404, ..., 2203,   10, 8147],\n",
      "       [ 387, 2673, 1267, ...,  491, 3120,   53],\n",
      "       [ 141,   12,  627, ...,   81,  100,  534],\n",
      "       ...,\n",
      "       [ 815, 5218,   85, ...,  136,   10,  638],\n",
      "       [ 223,   47,   18, ...,   10,  322, 4876],\n",
      "       [  36,  148,  100, ..., 8143, 2404,  101]]), array([[ 228,  369, 2224, ...,    0,  100, 6245],\n",
      "       [  67,  588,  230, ...,  273,  227,  401],\n",
      "       [ 815,  129,   10, ..., 1683,    2, 6053],\n",
      "       ...,\n",
      "       [ 555,    2,  349, ...,  482,    2, 3519],\n",
      "       [5699,  509, 3513, ...,  100,  316,  911],\n",
      "       [4448,   37, 1939, ...,  369, 2224,  232]]), array([[  94,   20,   61, ...,  465,   81,   88],\n",
      "       [  61,  359,   31, ..., 8155, 4243,  295],\n",
      "       [   0,  498, 5695, ...,  100,  534,   18],\n",
      "       ...,\n",
      "       [  16,   47,   30, ..., 2624,   23, 1941],\n",
      "       [8154,   74,    7, ...,   12, 2178,    4],\n",
      "       [  29, 3764,  142, ...,   20,   61, 7780]]), array([[  55,   81,   50, ..., 1124,   53,  232],\n",
      "       [  55, 3673,   23, ...,  635,   55, 7888],\n",
      "       [  10, 3975,   21, ...,   16, 1810,   55],\n",
      "       ...,\n",
      "       [  23, 1405,   29, ..., 2354, 2355, 3756],\n",
      "       [  18, 1254,    2, ..., 1508, 4192,   29],\n",
      "       [3756, 1974,    0, ...,   81,   50,    0]]), array([[ 265,   10,    0, ..., 2395, 2396,   23],\n",
      "       [3773, 3756,   23, ..., 3015,   29,  101],\n",
      "       [1163,   85, 3055, ...,  729, 4434,    0],\n",
      "       ...,\n",
      "       [ 142, 4179, 3776, ...,   88,  118, 3776],\n",
      "       [ 279,  118,   61, ...,  118, 8141,  842],\n",
      "       [  88,  162,    0, ...,   10,    0,  265]]), array([[5952,  465,    0, ..., 1522,   14,  907],\n",
      "       [2687,   85,  141, ...,   12, 7590,  535],\n",
      "       [7483, 3181,  723, ...,  136,  196,   18],\n",
      "       ...,\n",
      "       [  20, 3163,  101, ...,   79,   29,  885],\n",
      "       [  50,  535,   29, ..., 4149,  101,  478],\n",
      "       [ 102,  208, 3837, ...,  465,    0,   39]]), array([[  53,  911, 2401, ...,  815,  976,  295],\n",
      "       [ 885, 1222,  118, ..., 5628,  708, 8169],\n",
      "       [ 478, 2398, 3837, ...,   53,  101, 2963],\n",
      "       ...,\n",
      "       [ 227,  232, 7302, ...,  100,  272,  636],\n",
      "       [  10,  920, 2278, ..., 2854,   18, 5720],\n",
      "       [4303,   12,  519, ...,  911, 2401, 1023]]), array([[  18,    0, 1075, ...,  609, 2398,   12],\n",
      "       [2386,   85,   18, ...,  207,   88,   20],\n",
      "       [4204,  500,   12, ...,  850,    7,   88],\n",
      "       ...,\n",
      "       [2028, 5699, 4815, ..., 4093,  709,  227],\n",
      "       [1810, 4093,  709, ..., 3133, 5699, 1162],\n",
      "       [ 465,  214,  535, ..., 1075,  502,  885]]), array([[5699, 3837,  219, ...,   18, 3146,   29],\n",
      "       [   0,   39,  413, ..., 2287,    0,  174],\n",
      "       [3672, 5807,   67, ...,    0, 1648,   29],\n",
      "       ...,\n",
      "       [1253, 2332,  197, ...,    0, 1862,    2],\n",
      "       [ 317,   12,    0, ..., 1245, 3210,    0],\n",
      "       [ 112,  141,    0, ...,  219,   12, 2617]]), array([[1056,  932, 3903, ...,  204,   12, 1599],\n",
      "       [1604,  559,  872, ...,   12,    0,    0],\n",
      "       [   0,   12, 5165, ...,  911,  384, 1358],\n",
      "       ...,\n",
      "       [  12, 1733,    6, ...,    0,   55,   81],\n",
      "       [ 987,  159,    0, ...,   38, 2525,   24],\n",
      "       [  53,  588,   18, ..., 3903,  540,   78]]), array([[7343,    0,  162, ...,    0,  334, 1425],\n",
      "       [  29,   18, 2945, ...,    0,  322,  610],\n",
      "       [1720, 1635,  607, ..., 4066,  118,   23],\n",
      "       ...,\n",
      "       [  18,  663,  125, ..., 4555, 7622,   23],\n",
      "       [8195, 8195,  349, ..., 1984,   23, 5419],\n",
      "       [   0, 5333, 2962, ...,  162,    2,   42]]), array([[ 349,   18,  308, ...,  227,  951,    0],\n",
      "       [ 101, 7984,    2, ...,  150,  223,   20],\n",
      "       [3163,  610,  288, ..., 1382, 2334,  895],\n",
      "       ...,\n",
      "       [5191, 1227,    7, ...,  101, 2272,   53],\n",
      "       [  39,   12, 3181, ..., 2117,   23,  262],\n",
      "       [ 227, 2380,  815, ...,  308,    0,   29]]), array([[1180,   21,  660, ...,   26, 3406,   10],\n",
      "       [ 829,  335,  223, ...,  365,   23,    3],\n",
      "       [6983, 2451, 2354, ...,   26,   12,    0],\n",
      "       ...,\n",
      "       [7645, 8192,  148, ..., 2528,    0,  216],\n",
      "       [ 301, 1653,  485, ..., 2427,  227,    2],\n",
      "       [  39,  141,   12, ...,  660, 2450,  240]]), array([[3627, 3107,  907, ...,  100,  266,   12],\n",
      "       [3285,  272, 2061, ...,  359,   10,  510],\n",
      "       [3196,    0, 5703, ...,  261,   50,   12],\n",
      "       ...,\n",
      "       [2568,   81,   55, ...,   47,  102,  907],\n",
      "       [ 174,  301,  142, ...,    2,  731, 4494],\n",
      "       [6671,    6,   12, ...,  907,  223,   67]]), array([[  62,   81,  224, ...,   50,  141,  100],\n",
      "       [ 272,    0,   16, ...,    0,   10,   42],\n",
      "       [   0,   55,   81, ...,  101,  261, 1411],\n",
      "       ...,\n",
      "       [  29,  911,  705, ..., 2416,   18, 1191],\n",
      "       [  29,   26, 1811, ...,  115,   18, 1807],\n",
      "       [ 337,  224,  102, ...,  224,  331, 2404]]), array([[ 118,   47, 2664, ...,   42,   88, 2475],\n",
      "       [ 761,   59,  129, ..., 2364, 2353, 2398],\n",
      "       [2377, 8200, 8206, ...,    0,   23,    0],\n",
      "       ...,\n",
      "       [3286,  100,  219, ...,   29,  136, 5126],\n",
      "       [3286, 2759, 2404, ..., 2752, 2115,  735],\n",
      "       [3800,  624,    2, ..., 2664,   26, 2404]]), array([[ 344,  153, 4750, ...,    2,  136,   52],\n",
      "       [ 100,  102,  769, ...,   29,   12, 5126],\n",
      "       [ 465,  102,  227, ...,  761,    0, 3514],\n",
      "       ...,\n",
      "       [ 179,   51, 1312, ..., 1187,   10, 3071],\n",
      "       [ 247,   85, 3509, ...,  136,  877,  159],\n",
      "       [ 161,  118,  100, ..., 4750,   12,  278]]), array([[5126,   10, 1164, ..., 4071,   10,    0],\n",
      "       [ 509, 4591, 7805, ..., 5882,   23, 3075],\n",
      "       [   0,  100,  316, ...,   26,    0,   92],\n",
      "       ...,\n",
      "       [8218,   29,  141, ..., 8220,  107,   29],\n",
      "       [  18, 2681,    0, ...,  137,  779,    2],\n",
      "       [ 967, 8218,  540, ..., 1164,  118,  328]]), array([[  29,   78,  274, ..., 1145,  149, 8218],\n",
      "       [1162,  224,   29, ...,   88,  638,  322],\n",
      "       [  62, 8220,   97, ...,   23, 3163,  100],\n",
      "       ...,\n",
      "       [   0, 2145,   85, ...,  100,  906,  465],\n",
      "       [  81,   27,  759, ...,  228,  421,  842],\n",
      "       [ 136,   12, 1857, ...,  274,  100,  738]]), array([[  33,  100,  842, ..., 2288,   88,  526],\n",
      "       [2288,    7,   76, ...,  427,   10,  921],\n",
      "       [  18, 2109,   23, ...,  721, 7647,  204],\n",
      "       ...,\n",
      "       [ 465, 8222,  272, ..., 2719,   23,  542],\n",
      "       [  55,   81,  162, ..., 1162,   26, 1541],\n",
      "       [ 691,   12,  890, ...,  842, 1583,  227]]), array([[  74,    7,  224, ...,   62, 2555, 2447],\n",
      "       [8216,  349,   14, ...,  349, 6671,   81],\n",
      "       [8235,  124,   42, ..., 1063,   23,   49],\n",
      "       ...,\n",
      "       [ 115,   55, 3630, ...,   12,  398, 2265],\n",
      "       [  81,  692,  317, ..., 2290,   29,   62],\n",
      "       [  23, 1531, 8218, ...,  224,   58,    0]]), array([[7647,   26,  227, ...,   12, 2377, 2398],\n",
      "       [2377, 2377,  540, ...,   53, 7682, 8118],\n",
      "       [3179,  295,  885, ..., 5947,   42, 3146],\n",
      "       ...,\n",
      "       [2911,  274, 3357, ..., 3937,   23,  907],\n",
      "       [   0, 1488,  111, ...,   53,  227,  270],\n",
      "       [  20,    0,   51, ...,  227,  535,   36]]), array([[6934,   10,  223, ...,    0,   26,   51],\n",
      "       [   0,    0,   85, ..., 1438, 2586, 8242],\n",
      "       [  61,  907,  207, ...,    0, 2435,  387],\n",
      "       ...,\n",
      "       [  10,   12,    0, ...,  815,   20,   23],\n",
      "       [ 465,  815,   20, ...,   12,    0,    0],\n",
      "       [   2,  911,    0, ...,  223,   23,    0]]), array([[ 975,   23, 1293, ...,   26,  262,   88],\n",
      "       [1807, 3269,   10, ...,    0,  535,  214],\n",
      "       [1315, 3269, 4760, ...,   51,  670,  154],\n",
      "       ...,\n",
      "       [ 141,  136, 6366, ..., 2334,  224,  439],\n",
      "       [3089, 8005,  349, ...,  387,  907,  535],\n",
      "       [ 141,  154,    0, ..., 1293,  377,   47]]), array([[  23,  908,  274, ..., 4527,   23,  100],\n",
      "       [1137, 1364,   85, ...,    6,   55,   50],\n",
      "       [ 241,  100,  990, ...,  253,   23,  101],\n",
      "       ...,\n",
      "       [  51, 1803, 2495, ...,   30,   36,    0],\n",
      "       [ 223, 8243,  270, ...,   12, 2681,  224],\n",
      "       [2418,   29,   50, ...,  274, 7667,    6]]), array([[ 204,   18, 1157, ...,   12, 2483, 2327],\n",
      "       [1840, 1475, 1808, ...,  735,  317,   11],\n",
      "       [ 417, 8243,   33, ...,  610,  107,  526],\n",
      "       ...,\n",
      "       [  23, 3131,    0, ...,  272, 1523, 1731],\n",
      "       [ 937,   10,  118, ...,  638, 2475,  761],\n",
      "       [  13,  417, 6665, ..., 1157, 2532,   88]]), array([[ 272,    0,    0, ...,   12, 6220,    0],\n",
      "       [  12,    0,  609, ...,   88,  432,   42],\n",
      "       [   0,  100,  179, ...,  136, 4602, 3596],\n",
      "       ...,\n",
      "       [ 228, 2617, 1023, ...,   18, 1676,  107],\n",
      "       [   0, 4018, 2505, ..., 8250,  815, 3208],\n",
      "       [ 101, 2380, 8248, ...,    0,    0, 3049]]), array([[  85,   68,   14, ...,   12, 2373,   10],\n",
      "       [3208,  111,   27, ...,  522,  101, 2380],\n",
      "       [8196,   12, 1685, ...,  118,   10,  305],\n",
      "       ...,\n",
      "       [  55,  873, 8256, ..., 2664,  761, 6435],\n",
      "       [2787,   10, 3436, ...,  160,  735,    0],\n",
      "       [  61,    0,  890, ...,   14,    0,   26]]), array([[  20,   12,  245, ...,  359, 5559,  150],\n",
      "       [ 967,   20,    0, ...,   23, 1869, 1422],\n",
      "       [8248,  296,   12, ...,   12, 6274, 1218],\n",
      "       ...,\n",
      "       [3285,   23,  227, ...,   82,    0,    0],\n",
      "       [ 201,   50,   26, ..., 3737, 3404,  227],\n",
      "       [1163,   10,  118, ...,  245, 2451, 2354]]), array([[1297,  201,   47, ...,   23,    0,   23],\n",
      "       [  12,    0, 1293, ..., 4601,  954,  241],\n",
      "       [  33,    0,  107, ...,  761, 1112,  111],\n",
      "       ...,\n",
      "       [2255, 8260,   23, ...,  272, 4907,  118],\n",
      "       [ 349, 2709,  593, ...,  115,   48, 6099],\n",
      "       [ 542,    0,    0, ...,   47,  148,  224]]), array([[1490, 3819, 3235, ...,  480, 6675,  101],\n",
      "       [   0, 1346,   10, ...,  100,  179,   12],\n",
      "       [1238,   61,    0, ..., 2404, 8260,   97],\n",
      "       ...,\n",
      "       [8259,  100, 2836, ..., 8259, 1004,   48],\n",
      "       [  55,   17,  228, ...,   23,    0,  266],\n",
      "       [  55,  815, 2144, ..., 3235,   12, 3177]]), array([[  76,   88,   20, ...,  526,  346,  114],\n",
      "       [  18, 1605, 2629, ...,   12, 1184,   18],\n",
      "       [1254,    2,    0, ...,  227,  272,    0],\n",
      "       ...,\n",
      "       [   0,    0, 6818, ...,   29,   62,    0],\n",
      "       [  53,  870,  105, ...,    0, 2411, 2599],\n",
      "       [ 159,    0,  100, ...,   20, 2019,   50]]), array([[1805, 2292,   23, ...,   18, 4918,   23],\n",
      "       [3522,  590,  287, ...,  261,  772,  100],\n",
      "       [1307, 1295,   29, ..., 2411, 2599,  159],\n",
      "       ...,\n",
      "       [   0, 2725,   81, ..., 6204,    0,   12],\n",
      "       [6722,  101,  557, ...,   29, 2020,  643],\n",
      "       [  23,  997,   29, ...,   23,   31,   42]]), array([[ 568,   67,   42, ...,   39,  322,    0],\n",
      "       [6479,  638, 5557, ...,   14,  284,  123],\n",
      "       [  39,  223, 1621, ...,  554,  107,  284],\n",
      "       ...,\n",
      "       [  16,    0,    7, ...,    0,  178,    0],\n",
      "       [  29,  830,  183, ...,   29,  101,  460],\n",
      "       [5249,   58,   21, ...,   42, 2107,   51]]), array([[ 900,  663,    0, ...,   21,  353,   23],\n",
      "       [   0,   85,  798, ...,    0,   29,    0],\n",
      "       [1399,   23, 1749, ...,    2,  212, 1313],\n",
      "       ...,\n",
      "       [ 124,    0, 1310, ...,  449,   51, 2659],\n",
      "       [  85, 1063, 7458, ..., 2411, 2599,  159],\n",
      "       [   0, 3939,   14, ...,    0,  618,   81]]), array([[ 437,    2, 8027, ..., 1234, 1996,   29],\n",
      "       [1576,    0, 1027, ..., 4199, 1945,   42],\n",
      "       [   0,    0,    0, ..., 1811, 4815,   85],\n",
      "       ...,\n",
      "       [ 465,  224,    0, ...,    0, 2816,  224],\n",
      "       [ 568,  343,   51, ..., 5325,   85,   42],\n",
      "       [3228,    0,   17, ..., 8027, 1183,    0]]), array([[ 842,    0,   51, ...,   10,    0,  295],\n",
      "       [   0,    0,   85, ...,    0,   26,   81],\n",
      "       [7032,  111, 4080, ...,  667,   10, 4048],\n",
      "       ...,\n",
      "       [  29,   18, 4686, ..., 4985,   12, 1132],\n",
      "       [ 821,    0,    0, ...,    0,   10,   12],\n",
      "       [1530, 2587, 3455, ...,   51, 2207,  479]]), array([[  42, 1239,   23, ..., 1207, 2503,   67],\n",
      "       [  12, 1232, 1464, ...,   21,  483, 2204],\n",
      "       [7592,   26, 2854, ...,  112,  223,   94],\n",
      "       ...,\n",
      "       [ 709, 4670, 8283, ..., 1132,   18, 5172],\n",
      "       [   0,    0, 5024, ...,  911,    0,  125],\n",
      "       [2794,   12, 1334, ...,   23, 5007,   55]])]\n",
      "100\n",
      "Starting Epoch #1 of 10.\n",
      "Starting Epoch #1 of 10.\n",
      "Loss = 81098.984375\n",
      "Loss = 81180.53125\n",
      "Loss = 80351.40625\n",
      "Loss = 79704.5390625\n",
      "Loss = 79948.578125\n",
      "Loss = 80354.546875\n",
      "Loss = 79260.296875\n",
      "Loss = 78573.0625\n",
      "Loss = 78911.984375\n",
      "Loss = 80180.671875\n",
      "Loss = 78855.625\n",
      "Loss = 78319.5859375\n",
      "Loss = 77332.09375\n",
      "Loss = 77847.59375\n",
      "Loss = 77584.78125\n",
      "Loss = 76921.0\n",
      "Loss = 78775.859375\n",
      "Loss = 77531.140625\n",
      "Loss = 76006.703125\n",
      "Loss = 77455.3125\n",
      "Loss = 78466.6796875\n",
      "Loss = 77259.4140625\n",
      "Loss = 76701.046875\n",
      "Loss = 75929.0546875\n",
      "Loss = 78008.4453125\n",
      "Loss = 76219.7109375\n",
      "Loss = 75837.0546875\n",
      "Loss = 76074.515625\n",
      "Loss = 76193.3984375\n",
      "Loss = 76968.234375\n",
      "Loss = 75572.28125\n",
      "Loss = 77019.40625\n",
      "Loss = 76605.140625\n",
      "Loss = 76536.4921875\n",
      "Loss = 73645.078125\n",
      "Loss = 74703.46875\n",
      "Loss = 75555.125\n",
      "Loss = 76150.734375\n",
      "Loss = 77419.984375\n",
      "Loss = 74360.21875\n",
      "Loss = 75860.96875\n",
      "Loss = 77016.3515625\n",
      "Loss = 74354.15625\n",
      "Loss = 74569.6640625\n",
      "Loss = 76349.109375\n",
      "Loss = 74382.7578125\n",
      "Loss = 75181.0859375\n",
      "Loss = 77506.234375\n",
      "Loss = 75453.671875\n",
      "Loss = 75727.734375\n",
      "Loss = 77064.7890625\n",
      "Loss = 72568.5390625\n",
      "Loss = 74763.953125\n",
      "Loss = 75226.40625\n",
      "Loss = 71977.1953125\n",
      "Loss = 73886.984375\n",
      "Loss = 74310.609375\n",
      "Loss = 73779.8125\n",
      "Loss = 73041.4453125\n",
      "Loss = 73372.890625\n",
      "Loss = 74170.0234375\n",
      "Loss = 71625.921875\n",
      "Loss = 72991.03125\n",
      "Loss = 74306.0859375\n",
      "Loss = 71995.15625\n",
      "Loss = 73914.84375\n",
      "Loss = 71469.625\n",
      "Loss = 72108.8515625\n",
      "Loss = 72035.921875\n",
      "Loss = 73183.25\n",
      "Loss = 71817.359375\n",
      "Loss = 69037.375\n",
      "Loss = 72115.546875\n",
      "Loss = 69831.5703125\n",
      "Loss = 71537.0625\n",
      "Loss = 70760.640625\n",
      "Loss = 73167.8515625\n",
      "Loss = 70633.375\n",
      "Loss = 69261.3125\n",
      "Loss = 70935.3359375\n",
      "Loss = 69500.84375\n",
      "Loss = 70282.9921875\n",
      "Loss = 70884.2890625\n",
      "Loss = 69378.609375\n",
      "Loss = 71130.8671875\n",
      "Loss = 70429.234375\n",
      "Loss = 69399.3515625\n",
      "Loss = 68076.734375\n",
      "Loss = 69318.328125\n",
      "Loss = 70698.0859375\n",
      "Loss = 70584.546875\n",
      "Loss = 68269.203125\n",
      "Loss = 68969.046875\n",
      "Loss = 69411.796875\n",
      "Loss = 69764.6171875\n",
      "Loss = 67131.671875\n",
      "Loss = 68557.546875\n",
      "Loss = 69400.078125\n",
      "Loss = 67843.234375\n",
      "Loss = 69779.5625\n",
      "Loss = 68201.140625\n",
      "Loss = 68141.703125\n",
      "Loss = 68617.15625\n",
      "Loss = 67021.828125\n",
      "Loss = 67374.578125\n",
      "Loss = 69211.2109375\n",
      "Loss = 67953.3125\n",
      "Loss = 68849.2890625\n",
      "Loss = 67434.2890625\n",
      "Loss = 67225.8046875\n",
      "Loss = 68796.0234375\n",
      "Loss = 69178.484375\n",
      "Loss = 66623.3125\n",
      "Loss = 67912.3828125\n",
      "Loss = 65492.421875\n",
      "Loss = 66840.3203125\n",
      "Loss = 64568.546875\n",
      "Loss = 66845.578125\n",
      "Loss = 67550.171875\n",
      "Loss = 65334.90625\n",
      "Loss = 69456.109375\n",
      "Loss = 66369.578125\n",
      "Loss = 67000.546875\n",
      "Loss = 66022.421875\n",
      "Loss = 65443.734375\n",
      "Loss = 65480.77734375\n",
      "Loss = 65962.109375\n",
      "Loss = 65555.0\n",
      "Loss = 65949.8359375\n",
      "Loss = 66327.5234375\n",
      "Loss = 64681.421875\n",
      "Loss = 66977.078125\n",
      "Loss = 64438.5234375\n",
      "Loss = 66098.21875\n",
      "Loss = 63803.78125\n",
      "Loss = 65793.6953125\n",
      "Loss = 65380.0078125\n",
      "Loss = 65746.765625\n",
      "Loss = 64206.0\n",
      "Loss = 63481.68359375\n",
      "Loss = 63608.44921875\n",
      "Loss = 63262.3984375\n",
      "Loss = 63960.03125\n",
      "Loss = 64243.0\n",
      "Loss = 63339.640625\n",
      "Loss = 63940.125\n",
      "Loss = 66036.453125\n",
      "Loss = 64497.27734375\n",
      "Loss = 63655.3203125\n",
      "Loss = 63204.328125\n",
      "Loss = 64851.65625\n",
      "Loss = 62084.9765625\n",
      "Loss = 65347.53125\n",
      "Loss = 63119.6640625\n",
      "Loss = 62860.01171875\n",
      "Loss = 65611.6328125\n",
      "Loss = 65526.88671875\n",
      "Loss = 62037.4375\n",
      "Loss = 63851.8828125\n",
      "Loss = 63637.796875\n",
      "Loss = 63759.76953125\n",
      "Loss = 64300.625\n",
      "Loss = 63603.41796875\n",
      "Loss = 62134.31640625\n",
      "Loss = 63022.2265625\n",
      "Loss = 63752.0390625\n",
      "Loss = 61122.546875\n",
      "Loss = 61965.40625\n",
      "Loss = 60764.82421875\n",
      "Loss = 64073.7578125\n",
      "Loss = 63792.375\n",
      "Loss = 62891.09375\n",
      "Loss = 60925.6484375\n",
      "Loss = 64671.63671875\n",
      "Loss = 59842.62890625\n",
      "Loss = 59981.17578125\n",
      "Loss = 62107.078125\n",
      "Loss = 62110.8828125\n",
      "Loss = 62046.98828125\n",
      "Loss = 62419.12109375\n",
      "Loss = 62055.87109375\n",
      "Loss = 62066.6171875\n",
      "Loss = 61205.171875\n",
      "Loss = 61622.203125\n",
      "Loss = 61501.8828125\n",
      "Loss = 58952.484375\n",
      "Loss = 61216.21875\n",
      "Starting Epoch #2 of 10.\n",
      "Starting Epoch #2 of 10.\n",
      "Loss = 60550.77734375\n",
      "Loss = 63197.34765625\n",
      "Loss = 61630.73828125\n",
      "Loss = 60523.0625\n",
      "Loss = 61516.5703125\n",
      "Loss = 60744.14453125\n",
      "Loss = 63256.34375\n",
      "Loss = 62374.984375\n",
      "Loss = 63169.14453125\n",
      "Loss = 60239.390625\n",
      "Loss = 60028.96484375\n",
      "Loss = 62405.5390625\n",
      "Loss = 61760.3984375\n",
      "Loss = 60122.90625\n",
      "Loss = 60863.37890625\n",
      "Loss = 61547.921875\n",
      "Loss = 62740.82421875\n",
      "Loss = 61204.44921875\n",
      "Loss = 60851.01953125\n",
      "Loss = 60409.74609375\n",
      "Loss = 59250.19140625\n",
      "Loss = 58761.71875\n",
      "Loss = 60045.171875\n",
      "Loss = 62712.6796875\n",
      "Loss = 61905.8515625\n",
      "Loss = 57789.0703125\n",
      "Loss = 62993.4921875\n",
      "Loss = 59210.3203125\n",
      "Loss = 60733.25390625\n",
      "Loss = 59171.12890625\n",
      "Loss = 60850.58984375\n",
      "Loss = 61184.421875\n",
      "Loss = 59512.5390625\n",
      "Loss = 59493.109375\n",
      "Loss = 60192.84375\n",
      "Loss = 60465.046875\n",
      "Loss = 60522.546875\n",
      "Loss = 59970.421875\n",
      "Loss = 58810.56640625\n",
      "Loss = 61351.69140625\n",
      "Loss = 60116.1875\n",
      "Loss = 58978.234375\n",
      "Loss = 60970.50390625\n",
      "Loss = 60321.72265625\n",
      "Loss = 59886.28515625\n",
      "Loss = 59257.40625\n",
      "Loss = 61238.078125\n",
      "Loss = 56919.765625\n",
      "Loss = 59880.12890625\n",
      "Loss = 58565.046875\n",
      "Loss = 59115.0\n",
      "Loss = 58941.6796875\n",
      "Loss = 58800.2734375\n",
      "Loss = 59756.3984375\n",
      "Loss = 62329.109375\n",
      "Loss = 59229.76171875\n",
      "Loss = 58829.36328125\n",
      "Loss = 57196.48046875\n",
      "Loss = 58585.69921875\n",
      "Loss = 60320.078125\n",
      "Loss = 57690.3984375\n",
      "Loss = 58986.15625\n",
      "Loss = 58526.4296875\n",
      "Loss = 58651.109375\n",
      "Loss = 57597.10546875\n",
      "Loss = 58310.78515625\n",
      "Loss = 60349.8984375\n",
      "Loss = 59248.53515625\n",
      "Loss = 58023.19921875\n",
      "Loss = 59823.71875\n",
      "Loss = 57560.2734375\n",
      "Loss = 59080.078125\n",
      "Loss = 59432.2109375\n",
      "Loss = 60306.30078125\n",
      "Loss = 59421.1953125\n",
      "Loss = 58516.19140625\n",
      "Loss = 58294.8671875\n",
      "Loss = 57395.6328125\n",
      "Loss = 58768.765625\n",
      "Loss = 57290.953125\n",
      "Loss = 57654.703125\n",
      "Loss = 59026.16796875\n",
      "Loss = 60744.765625\n",
      "Loss = 57593.0390625\n",
      "Loss = 57652.96484375\n",
      "Loss = 57553.0703125\n",
      "Loss = 55487.3515625\n",
      "Loss = 59146.83203125\n",
      "Loss = 58195.546875\n",
      "Loss = 58730.3046875\n",
      "Loss = 57669.1875\n",
      "Loss = 59337.6875\n",
      "Loss = 59139.34765625\n",
      "Loss = 58936.6953125\n",
      "Loss = 57391.4765625\n",
      "Loss = 55981.6328125\n",
      "Loss = 59529.3828125\n",
      "Loss = 56596.546875\n",
      "Loss = 57961.2734375\n",
      "Loss = 57909.90234375\n",
      "Loss = 60623.2421875\n",
      "Loss = 56057.07421875\n",
      "Loss = 56576.7890625\n",
      "Loss = 57942.421875\n",
      "Loss = 57467.78125\n",
      "Loss = 58330.5546875\n",
      "Loss = 58019.484375\n",
      "Loss = 58957.80078125\n",
      "Loss = 59566.1484375\n",
      "Loss = 57570.19921875\n",
      "Loss = 58197.21875\n",
      "Loss = 56574.8125\n",
      "Loss = 57595.546875\n",
      "Loss = 56660.19140625\n",
      "Loss = 58525.75\n",
      "Loss = 57299.07421875\n",
      "Loss = 55168.15625\n",
      "Loss = 57415.34375\n",
      "Loss = 56837.3046875\n",
      "Loss = 56895.796875\n",
      "Loss = 58042.38671875\n",
      "Loss = 58946.31640625\n",
      "Loss = 57693.4765625\n",
      "Loss = 56806.93359375\n",
      "Loss = 57417.578125\n",
      "Loss = 57929.96875\n",
      "Loss = 59524.90234375\n",
      "Loss = 57110.484375\n",
      "Loss = 57799.8203125\n",
      "Loss = 56435.58984375\n",
      "Loss = 58468.296875\n",
      "Loss = 58001.921875\n",
      "Loss = 57819.70703125\n",
      "Loss = 55635.1875\n",
      "Loss = 58611.6171875\n",
      "Loss = 54865.703125\n",
      "Loss = 56247.01171875\n",
      "Loss = 56466.046875\n",
      "Loss = 56431.640625\n",
      "Loss = 60904.3984375\n",
      "Loss = 55187.390625\n",
      "Loss = 59334.71484375\n",
      "Loss = 58454.4375\n",
      "Loss = 55550.13671875\n",
      "Loss = 55649.6171875\n",
      "Loss = 55281.3984375\n",
      "Loss = 57161.1328125\n",
      "Loss = 55268.69921875\n",
      "Loss = 57084.09375\n",
      "Loss = 56171.94921875\n",
      "Loss = 57840.296875\n",
      "Loss = 58110.06640625\n",
      "Loss = 57268.80078125\n",
      "Loss = 57993.984375\n",
      "Loss = 57547.5\n",
      "Loss = 58172.1875\n",
      "Loss = 59432.66015625\n",
      "Loss = 56699.84375\n",
      "Loss = 57070.76953125\n",
      "Loss = 56740.4453125\n",
      "Loss = 53924.125\n",
      "Loss = 56721.26953125\n",
      "Loss = 57143.66796875\n",
      "Loss = 57841.578125\n",
      "Loss = 57704.4140625\n",
      "Loss = 57060.03125\n",
      "Loss = 56308.0078125\n",
      "Loss = 56424.4296875\n",
      "Loss = 57852.8203125\n",
      "Loss = 56771.2734375\n",
      "Loss = 57294.9453125\n",
      "Loss = 55029.3125\n",
      "Loss = 56993.06640625\n",
      "Loss = 55670.46875\n",
      "Loss = 54640.92578125\n",
      "Loss = 57987.265625\n",
      "Loss = 55636.765625\n",
      "Loss = 56342.41015625\n",
      "Loss = 58860.7265625\n",
      "Loss = 59617.67578125\n",
      "Loss = 54880.6015625\n",
      "Loss = 57033.20703125\n",
      "Loss = 54495.80078125\n",
      "Loss = 56116.078125\n",
      "Loss = 55666.7265625\n",
      "Loss = 57006.375\n",
      "Loss = 55246.89453125\n",
      "Starting Epoch #3 of 10.\n",
      "Starting Epoch #3 of 10.\n",
      "Loss = 54832.5390625\n",
      "Loss = 57242.0546875\n",
      "Loss = 54945.7890625\n",
      "Loss = 56454.96484375\n",
      "Loss = 55491.75\n",
      "Loss = 57685.7421875\n",
      "Loss = 57679.5546875\n",
      "Loss = 57026.6875\n",
      "Loss = 55010.328125\n",
      "Loss = 54570.83984375\n",
      "Loss = 55978.0625\n",
      "Loss = 55255.69921875\n",
      "Loss = 58520.44140625\n",
      "Loss = 54988.078125\n",
      "Loss = 54094.93359375\n",
      "Loss = 56261.34765625\n",
      "Loss = 55888.88671875\n",
      "Loss = 55713.5625\n",
      "Loss = 55415.46484375\n",
      "Loss = 53849.984375\n",
      "Loss = 57115.71484375\n",
      "Loss = 55703.859375\n",
      "Loss = 55598.078125\n",
      "Loss = 52752.1015625\n",
      "Loss = 54330.453125\n",
      "Loss = 57418.35546875\n",
      "Loss = 56646.828125\n",
      "Loss = 56510.78515625\n",
      "Loss = 53993.79296875\n",
      "Loss = 54210.1875\n",
      "Loss = 57508.94921875\n",
      "Loss = 54221.5703125\n",
      "Loss = 54536.984375\n",
      "Loss = 55501.4765625\n",
      "Loss = 52981.484375\n",
      "Loss = 54167.0546875\n",
      "Loss = 55613.9921875\n",
      "Loss = 56212.50390625\n",
      "Loss = 56435.06640625\n",
      "Loss = 55666.4921875\n",
      "Loss = 55758.11328125\n",
      "Loss = 56558.4453125\n",
      "Loss = 53315.08984375\n",
      "Loss = 57163.9296875\n",
      "Loss = 56394.875\n",
      "Loss = 55253.5703125\n",
      "Loss = 56303.83203125\n",
      "Loss = 57250.140625\n",
      "Loss = 54596.8203125\n",
      "Loss = 55284.96875\n",
      "Loss = 55799.078125\n",
      "Loss = 55866.609375\n",
      "Loss = 56116.6484375\n",
      "Loss = 54497.34375\n",
      "Loss = 56244.234375\n",
      "Loss = 57297.3515625\n",
      "Loss = 56504.0546875\n",
      "Loss = 56777.8125\n",
      "Loss = 54789.609375\n",
      "Loss = 56526.91015625\n",
      "Loss = 54752.234375\n",
      "Loss = 54996.67578125\n",
      "Loss = 54196.4375\n",
      "Loss = 55030.1953125\n",
      "Loss = 56163.34765625\n",
      "Loss = 52373.70703125\n",
      "Loss = 55276.53125\n",
      "Loss = 55867.9765625\n",
      "Loss = 54526.82421875\n",
      "Loss = 55567.7890625\n",
      "Loss = 56148.09375\n",
      "Loss = 55454.140625\n",
      "Loss = 56226.359375\n",
      "Loss = 58379.703125\n",
      "Loss = 51589.01171875\n",
      "Loss = 56306.76171875\n",
      "Loss = 54396.48046875\n",
      "Loss = 55606.9375\n",
      "Loss = 56852.453125\n",
      "Loss = 55127.53125\n",
      "Loss = 56918.08203125\n",
      "Loss = 58164.3828125\n",
      "Loss = 56190.375\n",
      "Loss = 55035.90234375\n",
      "Loss = 56102.546875\n",
      "Loss = 58799.515625\n",
      "Loss = 53798.453125\n",
      "Loss = 56090.8671875\n",
      "Loss = 57098.90625\n",
      "Loss = 56790.49609375\n",
      "Loss = 57276.5\n",
      "Loss = 55161.8984375\n",
      "Loss = 55748.94140625\n",
      "Loss = 56886.359375\n",
      "Loss = 55976.06640625\n",
      "Loss = 56474.6953125\n",
      "Loss = 57172.11328125\n",
      "Loss = 57489.1796875\n",
      "Loss = 55662.88671875\n",
      "Loss = 56499.04296875\n",
      "Loss = 54898.9140625\n",
      "Loss = 55851.66796875\n",
      "Loss = 57744.5\n",
      "Loss = 57498.734375\n",
      "Loss = 53738.62109375\n",
      "Loss = 56447.734375\n",
      "Loss = 55054.0\n",
      "Loss = 58149.828125\n",
      "Loss = 56039.15625\n",
      "Loss = 55978.28125\n",
      "Loss = 57401.65234375\n",
      "Loss = 54980.09765625\n",
      "Loss = 55212.8828125\n",
      "Loss = 55220.80078125\n",
      "Loss = 56376.7734375\n",
      "Loss = 56255.8515625\n",
      "Loss = 56045.91796875\n",
      "Loss = 55556.6953125\n",
      "Loss = 54351.65234375\n",
      "Loss = 54422.328125\n",
      "Loss = 54931.21875\n",
      "Loss = 57538.796875\n",
      "Loss = 54976.03515625\n",
      "Loss = 56647.34375\n",
      "Loss = 55737.2265625\n",
      "Loss = 56125.8828125\n",
      "Loss = 56390.359375\n",
      "Loss = 53276.5\n",
      "Loss = 58380.3125\n",
      "Loss = 56729.96875\n",
      "Loss = 54769.953125\n",
      "Loss = 54383.7734375\n",
      "Loss = 59670.40625\n",
      "Loss = 58494.1171875\n",
      "Loss = 55373.59765625\n",
      "Loss = 56135.046875\n",
      "Loss = 53299.4296875\n",
      "Loss = 54846.796875\n",
      "Loss = 54969.171875\n",
      "Loss = 53109.29296875\n",
      "Loss = 55727.3671875\n",
      "Loss = 54603.39453125\n",
      "Loss = 52828.12890625\n",
      "Loss = 55653.375\n",
      "Loss = 54395.6640625\n",
      "Loss = 57328.453125\n",
      "Loss = 54979.4140625\n",
      "Loss = 53913.53515625\n",
      "Loss = 55570.5078125\n",
      "Loss = 54014.2109375\n",
      "Loss = 53944.34765625\n",
      "Loss = 56544.40234375\n",
      "Loss = 55359.671875\n",
      "Loss = 53563.6640625\n",
      "Loss = 54174.296875\n",
      "Loss = 54808.9921875\n",
      "Loss = 55330.90625\n",
      "Loss = 57554.3515625\n",
      "Loss = 54573.671875\n",
      "Loss = 56755.84375\n",
      "Loss = 54055.46875\n",
      "Loss = 55433.8671875\n",
      "Loss = 56137.6484375\n",
      "Loss = 54998.34375\n",
      "Loss = 54972.56640625\n",
      "Loss = 55103.453125\n",
      "Loss = 57389.6015625\n",
      "Loss = 53200.734375\n",
      "Loss = 56546.21875\n",
      "Loss = 54725.9765625\n",
      "Loss = 56152.9609375\n",
      "Loss = 57556.046875\n",
      "Loss = 55812.05859375\n",
      "Loss = 57260.8203125\n",
      "Loss = 56526.703125\n",
      "Loss = 55697.34765625\n",
      "Loss = 54230.53125\n",
      "Loss = 55029.015625\n",
      "Loss = 54311.25\n",
      "Loss = 53971.703125\n",
      "Loss = 58581.9140625\n",
      "Loss = 58260.7109375\n",
      "Loss = 53426.67578125\n",
      "Loss = 55191.4921875\n",
      "Loss = 55870.71875\n",
      "Loss = 53401.75390625\n",
      "Loss = 60144.89453125\n",
      "Starting Epoch #4 of 10.\n",
      "Starting Epoch #4 of 10.\n",
      "Loss = 54697.4921875\n",
      "Loss = 53166.28125\n",
      "Loss = 57147.0234375\n",
      "Loss = 53765.1015625\n",
      "Loss = 54663.1171875\n",
      "Loss = 55549.3984375\n",
      "Loss = 53301.203125\n",
      "Loss = 52938.77734375\n",
      "Loss = 56922.93359375\n",
      "Loss = 55386.38671875\n",
      "Loss = 55236.390625\n",
      "Loss = 53883.36328125\n",
      "Loss = 55124.03125\n",
      "Loss = 54284.375\n",
      "Loss = 52245.3515625\n",
      "Loss = 57153.15234375\n",
      "Loss = 55164.80859375\n",
      "Loss = 55701.078125\n",
      "Loss = 53617.015625\n",
      "Loss = 54338.5703125\n",
      "Loss = 54582.0234375\n",
      "Loss = 56035.625\n",
      "Loss = 56997.4375\n",
      "Loss = 55553.296875\n",
      "Loss = 54554.27734375\n",
      "Loss = 57123.7109375\n",
      "Loss = 54947.6484375\n",
      "Loss = 54389.8984375\n",
      "Loss = 53210.890625\n",
      "Loss = 56396.4140625\n",
      "Loss = 52742.1484375\n",
      "Loss = 56538.9296875\n",
      "Loss = 54346.60546875\n",
      "Loss = 53655.37109375\n",
      "Loss = 56065.875\n",
      "Loss = 54136.0546875\n",
      "Loss = 53726.64453125\n",
      "Loss = 53912.01171875\n",
      "Loss = 55782.8671875\n",
      "Loss = 54445.41796875\n",
      "Loss = 53866.546875\n",
      "Loss = 56639.7890625\n",
      "Loss = 52987.7578125\n",
      "Loss = 53224.18359375\n",
      "Loss = 54507.0703125\n",
      "Loss = 55547.8359375\n",
      "Loss = 53154.9140625\n",
      "Loss = 54142.7265625\n",
      "Loss = 55100.9765625\n",
      "Loss = 55994.2890625\n",
      "Loss = 54834.41796875\n",
      "Loss = 54226.57421875\n",
      "Loss = 55902.3203125\n",
      "Loss = 53222.26171875\n",
      "Loss = 54969.2421875\n",
      "Loss = 55081.9375\n",
      "Loss = 54184.58984375\n",
      "Loss = 53388.9765625\n",
      "Loss = 55100.7578125\n",
      "Loss = 53409.0625\n",
      "Loss = 53783.8203125\n",
      "Loss = 54421.9453125\n",
      "Loss = 54927.41796875\n",
      "Loss = 53428.40234375\n",
      "Loss = 53265.984375\n",
      "Loss = 52574.75\n",
      "Loss = 54699.3359375\n",
      "Loss = 51449.35546875\n",
      "Loss = 53570.3984375\n",
      "Loss = 55844.7421875\n",
      "Loss = 53249.8359375\n",
      "Loss = 55259.171875\n",
      "Loss = 57307.15625\n",
      "Loss = 54738.7734375\n",
      "Loss = 54266.92578125\n",
      "Loss = 55526.41796875\n",
      "Loss = 52460.609375\n",
      "Loss = 53912.0078125\n",
      "Loss = 59854.1484375\n",
      "Loss = 55017.421875\n",
      "Loss = 52837.08984375\n",
      "Loss = 54300.1796875\n",
      "Loss = 57166.265625\n",
      "Loss = 53243.62109375\n",
      "Loss = 54040.9609375\n",
      "Loss = 56335.5078125\n",
      "Loss = 51312.796875\n",
      "Loss = 54300.984375\n",
      "Loss = 56139.5859375\n",
      "Loss = 54279.0390625\n",
      "Loss = 55231.4921875\n",
      "Loss = 54174.15234375\n",
      "Loss = 55142.3203125\n",
      "Loss = 52980.36328125\n",
      "Loss = 54575.734375\n",
      "Loss = 53259.75\n",
      "Loss = 55637.9609375\n",
      "Loss = 54524.98046875\n",
      "Loss = 54179.56640625\n",
      "Loss = 56508.96875\n",
      "Loss = 55366.4296875\n",
      "Loss = 53818.046875\n",
      "Loss = 54914.75\n",
      "Loss = 52658.546875\n",
      "Loss = 53438.61328125\n",
      "Loss = 55329.37890625\n",
      "Loss = 52912.3828125\n",
      "Loss = 56770.3359375\n",
      "Loss = 55428.8125\n",
      "Loss = 53393.9453125\n",
      "Loss = 56115.29296875\n",
      "Loss = 52442.8125\n",
      "Loss = 53749.8203125\n",
      "Loss = 54970.2734375\n",
      "Loss = 55200.015625\n",
      "Loss = 54427.578125\n",
      "Loss = 56928.8671875\n",
      "Loss = 53018.36328125\n",
      "Loss = 53938.66015625\n",
      "Loss = 54454.7421875\n",
      "Loss = 54397.4765625\n",
      "Loss = 54086.7734375\n",
      "Loss = 56550.31640625\n",
      "Loss = 53363.7890625\n",
      "Loss = 54317.3984375\n",
      "Loss = 54283.71875\n",
      "Loss = 53295.5078125\n",
      "Loss = 55348.8828125\n",
      "Loss = 54062.8046875\n",
      "Loss = 54739.5234375\n",
      "Loss = 54334.9296875\n",
      "Loss = 55066.65234375\n",
      "Loss = 56276.1640625\n",
      "Loss = 54440.2734375\n",
      "Loss = 54998.7109375\n",
      "Loss = 54136.4296875\n",
      "Loss = 54944.0859375\n",
      "Loss = 54571.84375\n",
      "Loss = 53747.90234375\n",
      "Loss = 51946.890625\n",
      "Loss = 55788.859375\n",
      "Loss = 53652.0703125\n",
      "Loss = 53597.3125\n",
      "Loss = 55053.32421875\n",
      "Loss = 54593.359375\n",
      "Loss = 56262.3046875\n",
      "Loss = 57542.34765625\n",
      "Loss = 49972.828125\n",
      "Loss = 53849.8046875\n",
      "Loss = 53441.7421875\n",
      "Loss = 50783.7421875\n",
      "Loss = 55668.41015625\n",
      "Loss = 52845.2421875\n",
      "Loss = 53474.28125\n",
      "Loss = 57110.203125\n",
      "Loss = 54667.0078125\n",
      "Loss = 51688.2734375\n",
      "Loss = 55204.796875\n",
      "Loss = 58078.0859375\n",
      "Loss = 50728.4921875\n",
      "Loss = 54337.8984375\n",
      "Loss = 54630.43359375\n",
      "Loss = 53161.8125\n",
      "Loss = 54054.4453125\n",
      "Loss = 59345.953125\n",
      "Loss = 52272.45703125\n",
      "Loss = 52680.28515625\n",
      "Loss = 54055.0625\n",
      "Loss = 54534.9375\n",
      "Loss = 52689.171875\n",
      "Loss = 55083.0390625\n",
      "Loss = 54810.6484375\n",
      "Loss = 55782.60546875\n",
      "Loss = 54589.0078125\n",
      "Loss = 54731.28125\n",
      "Loss = 53594.25\n",
      "Loss = 52743.26953125\n",
      "Loss = 53556.5703125\n",
      "Loss = 51867.484375\n",
      "Loss = 52709.0625\n",
      "Loss = 54434.6953125\n",
      "Loss = 52610.7421875\n",
      "Loss = 51941.3828125\n",
      "Loss = 55181.1171875\n",
      "Loss = 53693.60546875\n",
      "Loss = 55557.90234375\n",
      "Loss = 53441.671875\n",
      "Starting Epoch #5 of 10.\n",
      "Starting Epoch #5 of 10.\n",
      "Loss = 54679.625\n",
      "Loss = 52066.78125\n",
      "Loss = 53593.85546875\n",
      "Loss = 53364.55078125\n",
      "Loss = 54205.546875\n",
      "Loss = 53458.8984375\n",
      "Loss = 53807.65625\n",
      "Loss = 55737.3828125\n",
      "Loss = 54833.05078125\n",
      "Loss = 52939.59375\n",
      "Loss = 53536.14453125\n",
      "Loss = 56381.890625\n",
      "Loss = 54165.7734375\n",
      "Loss = 52967.22265625\n",
      "Loss = 54501.65625\n",
      "Loss = 53004.765625\n",
      "Loss = 54442.7890625\n",
      "Loss = 55666.6171875\n",
      "Loss = 54789.38671875\n",
      "Loss = 52474.046875\n",
      "Loss = 54564.359375\n",
      "Loss = 56125.3671875\n",
      "Loss = 52603.0546875\n",
      "Loss = 52833.07421875\n",
      "Loss = 55563.5703125\n",
      "Loss = 55523.9921875\n",
      "Loss = 53668.890625\n",
      "Loss = 53279.125\n",
      "Loss = 55895.6171875\n",
      "Loss = 52954.8203125\n",
      "Loss = 53911.640625\n",
      "Loss = 54966.546875\n",
      "Loss = 53295.203125\n",
      "Loss = 59564.984375\n",
      "Loss = 51600.51953125\n",
      "Loss = 57637.796875\n",
      "Loss = 54394.23046875\n",
      "Loss = 54142.890625\n",
      "Loss = 51564.0\n",
      "Loss = 54440.171875\n",
      "Loss = 54302.6796875\n",
      "Loss = 54683.43359375\n",
      "Loss = 57157.35546875\n",
      "Loss = 50467.06640625\n",
      "Loss = 54359.0078125\n",
      "Loss = 53891.81640625\n",
      "Loss = 52171.15234375\n",
      "Loss = 53897.0546875\n",
      "Loss = 55656.140625\n",
      "Loss = 52587.8515625\n",
      "Loss = 51378.5546875\n",
      "Loss = 53427.34375\n",
      "Loss = 52155.51953125\n",
      "Loss = 54527.265625\n",
      "Loss = 56823.5390625\n",
      "Loss = 52771.8828125\n",
      "Loss = 54970.2890625\n",
      "Loss = 53811.52734375\n",
      "Loss = 56805.9375\n",
      "Loss = 52679.90234375\n",
      "Loss = 52694.58203125\n",
      "Loss = 55531.0703125\n",
      "Loss = 53255.4453125\n",
      "Loss = 54921.9609375\n",
      "Loss = 53672.3515625\n",
      "Loss = 53551.8828125\n",
      "Loss = 54671.56640625\n",
      "Loss = 54423.453125\n",
      "Loss = 54202.55078125\n",
      "Loss = 56231.40234375\n",
      "Loss = 56060.2890625\n",
      "Loss = 54288.7109375\n",
      "Loss = 53392.75\n",
      "Loss = 56624.3984375\n",
      "Loss = 55706.8984375\n",
      "Loss = 54824.3046875\n",
      "Loss = 50735.2421875\n",
      "Loss = 53531.1953125\n",
      "Loss = 52110.9296875\n",
      "Loss = 52018.984375\n",
      "Loss = 49416.65234375\n",
      "Loss = 53465.2890625\n",
      "Loss = 52935.09765625\n",
      "Loss = 54984.81640625\n",
      "Loss = 55107.13671875\n",
      "Loss = 55989.578125\n",
      "Loss = 52326.40625\n",
      "Loss = 53732.4375\n",
      "Loss = 54866.71875\n",
      "Loss = 53179.11328125\n",
      "Loss = 53955.28125\n",
      "Loss = 53635.328125\n",
      "Loss = 52934.3125\n",
      "Loss = 52266.49609375\n",
      "Loss = 53491.3671875\n",
      "Loss = 55620.79296875\n",
      "Loss = 52600.94921875\n",
      "Loss = 55062.8828125\n",
      "Loss = 52489.59375\n",
      "Loss = 54171.578125\n",
      "Loss = 54670.2578125\n",
      "Loss = 53587.84375\n",
      "Loss = 54121.39453125\n",
      "Loss = 52442.49609375\n",
      "Loss = 53617.234375\n",
      "Loss = 52988.296875\n",
      "Loss = 51969.2421875\n",
      "Loss = 53944.41015625\n",
      "Loss = 52084.90625\n",
      "Loss = 57046.04296875\n",
      "Loss = 52567.66015625\n",
      "Loss = 52347.328125\n",
      "Loss = 52594.734375\n",
      "Loss = 51445.08984375\n",
      "Loss = 54444.46875\n",
      "Loss = 52364.734375\n",
      "Loss = 54349.14453125\n",
      "Loss = 53411.9453125\n",
      "Loss = 53580.5\n",
      "Loss = 53908.8515625\n",
      "Loss = 53389.93359375\n",
      "Loss = 53183.3828125\n",
      "Loss = 52428.9140625\n",
      "Loss = 55126.3203125\n",
      "Loss = 51615.828125\n",
      "Loss = 52359.1328125\n",
      "Loss = 54306.78125\n",
      "Loss = 53782.84375\n",
      "Loss = 54810.1796875\n",
      "Loss = 54878.26953125\n",
      "Loss = 54283.703125\n",
      "Loss = 52690.8359375\n",
      "Loss = 53762.52734375\n",
      "Loss = 52683.328125\n",
      "Loss = 54997.9375\n",
      "Loss = 54784.80859375\n",
      "Loss = 54614.9375\n",
      "Loss = 53243.70703125\n",
      "Loss = 53927.11328125\n",
      "Loss = 55592.8984375\n",
      "Loss = 53788.8828125\n",
      "Loss = 52957.6953125\n",
      "Loss = 53865.953125\n",
      "Loss = 55225.3125\n",
      "Loss = 55364.59375\n",
      "Loss = 52975.92578125\n",
      "Loss = 52005.2109375\n",
      "Loss = 56812.1015625\n",
      "Loss = 55761.921875\n",
      "Loss = 53892.8671875\n",
      "Loss = 52473.55078125\n",
      "Loss = 56544.171875\n",
      "Loss = 53238.41015625\n",
      "Loss = 55896.64453125\n",
      "Loss = 54004.73828125\n",
      "Loss = 53474.76953125\n",
      "Loss = 57013.015625\n",
      "Loss = 53036.8125\n",
      "Loss = 54672.55859375\n",
      "Loss = 54027.67578125\n",
      "Loss = 52893.984375\n",
      "Loss = 51211.10546875\n",
      "Loss = 54283.81640625\n",
      "Loss = 55071.13671875\n",
      "Loss = 52795.33203125\n",
      "Loss = 53428.43359375\n",
      "Loss = 53529.44140625\n",
      "Loss = 54273.2109375\n",
      "Loss = 52282.7578125\n",
      "Loss = 53061.78125\n",
      "Loss = 58840.359375\n",
      "Loss = 55040.265625\n",
      "Loss = 54869.171875\n",
      "Loss = 53826.87890625\n",
      "Loss = 54351.30078125\n",
      "Loss = 53306.671875\n",
      "Loss = 54457.0859375\n",
      "Loss = 55186.7734375\n",
      "Loss = 52886.828125\n",
      "Loss = 54495.59375\n",
      "Loss = 54961.88671875\n",
      "Loss = 50325.09375\n",
      "Loss = 54556.64453125\n",
      "Loss = 52205.1640625\n",
      "Loss = 54658.390625\n",
      "Loss = 53860.328125\n",
      "Loss = 55662.05859375\n",
      "Starting Epoch #6 of 10.\n",
      "Starting Epoch #6 of 10.\n",
      "Loss = 52422.40625\n",
      "Loss = 54842.9296875\n",
      "Loss = 54318.0390625\n",
      "Loss = 53857.1640625\n",
      "Loss = 53563.2109375\n",
      "Loss = 56636.41796875\n",
      "Loss = 54662.7578125\n",
      "Loss = 54068.4609375\n",
      "Loss = 53829.99609375\n",
      "Loss = 52096.9609375\n",
      "Loss = 56015.59375\n",
      "Loss = 58716.890625\n",
      "Loss = 53879.75\n",
      "Loss = 55158.6171875\n",
      "Loss = 54134.9921875\n",
      "Loss = 52310.890625\n",
      "Loss = 53715.0\n",
      "Loss = 56471.60546875\n",
      "Loss = 53382.09375\n",
      "Loss = 54789.78515625\n",
      "Loss = 54119.6484375\n",
      "Loss = 52743.6484375\n",
      "Loss = 51915.078125\n",
      "Loss = 54229.1328125\n",
      "Loss = 54958.2890625\n",
      "Loss = 55265.0625\n",
      "Loss = 51375.09375\n",
      "Loss = 57323.8203125\n",
      "Loss = 51729.3828125\n",
      "Loss = 52553.796875\n",
      "Loss = 54155.8203125\n",
      "Loss = 54253.8046875\n",
      "Loss = 53450.09375\n",
      "Loss = 52056.7421875\n",
      "Loss = 55250.52734375\n",
      "Loss = 52213.9375\n",
      "Loss = 52970.59375\n",
      "Loss = 51863.9296875\n",
      "Loss = 54470.1640625\n",
      "Loss = 54276.4609375\n",
      "Loss = 53967.5078125\n",
      "Loss = 52577.21484375\n",
      "Loss = 52440.2890625\n",
      "Loss = 53478.85546875\n",
      "Loss = 53427.05078125\n",
      "Loss = 55074.5234375\n",
      "Loss = 52226.484375\n",
      "Loss = 53052.3828125\n",
      "Loss = 55426.140625\n",
      "Loss = 53071.40625\n",
      "Loss = 53508.75\n",
      "Loss = 50273.4921875\n",
      "Loss = 55481.1796875\n",
      "Loss = 58994.6171875\n",
      "Loss = 52218.06640625\n",
      "Loss = 56637.703125\n",
      "Loss = 53976.28515625\n",
      "Loss = 54530.0859375\n",
      "Loss = 52037.5625\n",
      "Loss = 51747.07421875\n",
      "Loss = 54112.61328125\n",
      "Loss = 56949.390625\n",
      "Loss = 54189.8359375\n",
      "Loss = 52969.7734375\n",
      "Loss = 54641.3515625\n",
      "Loss = 53262.203125\n",
      "Loss = 55310.6953125\n",
      "Loss = 52841.328125\n",
      "Loss = 56735.0390625\n",
      "Loss = 52693.62890625\n",
      "Loss = 51095.81640625\n",
      "Loss = 53071.84375\n",
      "Loss = 53037.8671875\n",
      "Loss = 52049.140625\n",
      "Loss = 54750.04296875\n",
      "Loss = 54331.85546875\n",
      "Loss = 55290.4921875\n",
      "Loss = 51559.03515625\n",
      "Loss = 53826.8046875\n",
      "Loss = 51665.234375\n",
      "Loss = 53494.5234375\n",
      "Loss = 54663.66015625\n",
      "Loss = 53027.8125\n",
      "Loss = 52957.125\n",
      "Loss = 53760.46875\n",
      "Loss = 53066.8359375\n",
      "Loss = 52169.484375\n",
      "Loss = 54848.62890625\n",
      "Loss = 55552.296875\n",
      "Loss = 52763.0390625\n",
      "Loss = 53468.71875\n",
      "Loss = 52855.82421875\n",
      "Loss = 51267.6328125\n",
      "Loss = 51944.5234375\n",
      "Loss = 54390.9296875\n",
      "Loss = 52331.27734375\n",
      "Loss = 53589.90625\n",
      "Loss = 54971.67578125\n",
      "Loss = 52308.3828125\n",
      "Loss = 56120.609375\n",
      "Loss = 53048.0078125\n",
      "Loss = 54095.53125\n",
      "Loss = 54898.15625\n",
      "Loss = 53068.30859375\n",
      "Loss = 54765.84375\n",
      "Loss = 53663.73046875\n",
      "Loss = 54376.078125\n",
      "Loss = 52783.30859375\n",
      "Loss = 50732.37109375\n",
      "Loss = 52819.6328125\n",
      "Loss = 52244.703125\n",
      "Loss = 53387.0390625\n",
      "Loss = 51289.5078125\n",
      "Loss = 54336.24609375\n",
      "Loss = 53358.50390625\n",
      "Loss = 52833.90625\n",
      "Loss = 53351.421875\n",
      "Loss = 51382.93359375\n",
      "Loss = 53259.9765625\n",
      "Loss = 51425.6953125\n",
      "Loss = 53691.71875\n",
      "Loss = 51956.6484375\n",
      "Loss = 54474.9609375\n",
      "Loss = 51777.359375\n",
      "Loss = 52534.484375\n",
      "Loss = 55120.79296875\n",
      "Loss = 56427.49609375\n",
      "Loss = 49834.8515625\n",
      "Loss = 52720.2421875\n",
      "Loss = 52996.390625\n",
      "Loss = 53352.65625\n",
      "Loss = 56220.0703125\n",
      "Loss = 54383.75390625\n",
      "Loss = 53786.75\n",
      "Loss = 53774.578125\n",
      "Loss = 54261.90625\n",
      "Loss = 53018.6171875\n",
      "Loss = 53157.921875\n",
      "Loss = 55209.38671875\n",
      "Loss = 53987.1328125\n",
      "Loss = 53675.96875\n",
      "Loss = 51634.3046875\n",
      "Loss = 52945.34765625\n",
      "Loss = 51772.7265625\n",
      "Loss = 52996.48828125\n",
      "Loss = 51563.46484375\n",
      "Loss = 51907.61328125\n",
      "Loss = 48542.30859375\n",
      "Loss = 52278.4765625\n",
      "Loss = 54232.203125\n",
      "Loss = 54559.8203125\n",
      "Loss = 55995.56640625\n",
      "Loss = 53855.91015625\n",
      "Loss = 54470.609375\n",
      "Loss = 52744.54296875\n",
      "Loss = 51498.859375\n",
      "Loss = 54044.109375\n",
      "Loss = 52392.59375\n",
      "Loss = 54524.3984375\n",
      "Loss = 52496.53125\n",
      "Loss = 53518.7890625\n",
      "Loss = 51358.3046875\n",
      "Loss = 52769.26953125\n",
      "Loss = 52063.171875\n",
      "Loss = 49847.2734375\n",
      "Loss = 55559.21484375\n",
      "Loss = 53553.234375\n",
      "Loss = 53521.8046875\n",
      "Loss = 52537.7890625\n",
      "Loss = 54366.8984375\n",
      "Loss = 54152.80078125\n",
      "Loss = 54598.03125\n",
      "Loss = 54877.2265625\n",
      "Loss = 54545.17578125\n",
      "Loss = 52109.4296875\n",
      "Loss = 54485.8984375\n",
      "Loss = 53699.73828125\n",
      "Loss = 53281.046875\n",
      "Loss = 55623.55078125\n",
      "Loss = 54146.7421875\n",
      "Loss = 55287.0078125\n",
      "Loss = 53237.77734375\n",
      "Loss = 52389.68359375\n",
      "Loss = 52748.18359375\n",
      "Loss = 53570.18359375\n",
      "Loss = 55381.3828125\n",
      "Loss = 52299.4375\n",
      "Starting Epoch #7 of 10.\n",
      "Starting Epoch #7 of 10.\n",
      "Loss = 54710.125\n",
      "Loss = 53957.42578125\n",
      "Loss = 54332.75\n",
      "Loss = 53607.16015625\n",
      "Loss = 51379.91015625\n",
      "Loss = 53437.9609375\n",
      "Loss = 54216.83203125\n",
      "Loss = 51606.0859375\n",
      "Loss = 50531.0234375\n",
      "Loss = 53719.125\n",
      "Loss = 52452.9921875\n",
      "Loss = 52516.6171875\n",
      "Loss = 53106.1328125\n",
      "Loss = 51655.10546875\n",
      "Loss = 55086.53125\n",
      "Loss = 52115.3125\n",
      "Loss = 52610.37890625\n",
      "Loss = 49914.98046875\n",
      "Loss = 53965.35546875\n",
      "Loss = 52422.5859375\n",
      "Loss = 53346.40625\n",
      "Loss = 52065.37890625\n",
      "Loss = 53907.828125\n",
      "Loss = 53606.96875\n",
      "Loss = 53979.8984375\n",
      "Loss = 53165.70703125\n",
      "Loss = 53105.9765625\n",
      "Loss = 54294.80078125\n",
      "Loss = 52429.52734375\n",
      "Loss = 53334.0703125\n",
      "Loss = 56217.03515625\n",
      "Loss = 52112.2890625\n",
      "Loss = 55110.2890625\n",
      "Loss = 51407.359375\n",
      "Loss = 52939.39453125\n",
      "Loss = 52579.42578125\n",
      "Loss = 52314.73828125\n",
      "Loss = 51935.578125\n",
      "Loss = 58702.73046875\n",
      "Loss = 53607.921875\n",
      "Loss = 53090.6171875\n",
      "Loss = 53013.19140625\n",
      "Loss = 54587.61328125\n",
      "Loss = 54905.44140625\n",
      "Loss = 56791.07421875\n",
      "Loss = 55072.2109375\n",
      "Loss = 52672.0625\n",
      "Loss = 51406.8984375\n",
      "Loss = 51750.390625\n",
      "Loss = 52836.734375\n",
      "Loss = 52214.515625\n",
      "Loss = 52777.5\n",
      "Loss = 51918.2734375\n",
      "Loss = 54888.484375\n",
      "Loss = 52692.69921875\n",
      "Loss = 51385.171875\n",
      "Loss = 52641.296875\n",
      "Loss = 53661.21875\n",
      "Loss = 58137.60546875\n",
      "Loss = 52700.390625\n",
      "Loss = 53027.515625\n",
      "Loss = 51770.9609375\n",
      "Loss = 51173.34375\n",
      "Loss = 53246.1484375\n",
      "Loss = 53728.3359375\n",
      "Loss = 50343.921875\n",
      "Loss = 52998.2734375\n",
      "Loss = 53842.046875\n",
      "Loss = 54479.4140625\n",
      "Loss = 51262.57421875\n",
      "Loss = 54498.7421875\n",
      "Loss = 54456.140625\n",
      "Loss = 55264.453125\n",
      "Loss = 51533.1640625\n",
      "Loss = 53616.79296875\n",
      "Loss = 54273.32421875\n",
      "Loss = 54737.55859375\n",
      "Loss = 50654.765625\n",
      "Loss = 53517.015625\n",
      "Loss = 53797.265625\n",
      "Loss = 53872.7265625\n",
      "Loss = 54186.4453125\n",
      "Loss = 54364.06640625\n",
      "Loss = 55830.2109375\n",
      "Loss = 49017.703125\n",
      "Loss = 53245.8515625\n",
      "Loss = 51865.921875\n",
      "Loss = 52299.2109375\n",
      "Loss = 53130.22265625\n",
      "Loss = 53413.21484375\n",
      "Loss = 54676.2109375\n",
      "Loss = 52904.8359375\n",
      "Loss = 54519.80859375\n",
      "Loss = 54434.9609375\n",
      "Loss = 52647.3046875\n",
      "Loss = 51687.4453125\n",
      "Loss = 52539.48828125\n",
      "Loss = 51786.125\n",
      "Loss = 52733.85546875\n",
      "Loss = 53870.5625\n",
      "Loss = 54655.4140625\n",
      "Loss = 53946.09375\n",
      "Loss = 51839.9921875\n",
      "Loss = 52505.1015625\n",
      "Loss = 53380.7421875\n",
      "Loss = 50859.296875\n",
      "Loss = 51304.62109375\n",
      "Loss = 55078.9140625\n",
      "Loss = 52839.390625\n",
      "Loss = 51985.9609375\n",
      "Loss = 55060.5\n",
      "Loss = 53292.43359375\n",
      "Loss = 53353.859375\n",
      "Loss = 54359.0625\n",
      "Loss = 53060.94921875\n",
      "Loss = 51879.37109375\n",
      "Loss = 53299.0234375\n",
      "Loss = 54693.953125\n",
      "Loss = 51010.25\n",
      "Loss = 54097.6484375\n",
      "Loss = 51559.5\n",
      "Loss = 51259.4921875\n",
      "Loss = 54221.5390625\n",
      "Loss = 52225.3203125\n",
      "Loss = 54693.859375\n",
      "Loss = 51517.31640625\n",
      "Loss = 54538.32421875\n",
      "Loss = 52317.4140625\n",
      "Loss = 53768.29296875\n",
      "Loss = 54236.65625\n",
      "Loss = 52244.421875\n",
      "Loss = 53458.4453125\n",
      "Loss = 52771.15625\n",
      "Loss = 55135.90234375\n",
      "Loss = 54213.15625\n",
      "Loss = 56649.62890625\n",
      "Loss = 55801.37890625\n",
      "Loss = 53430.625\n",
      "Loss = 51694.7265625\n",
      "Loss = 52680.125\n",
      "Loss = 54584.28125\n",
      "Loss = 55200.421875\n",
      "Loss = 52877.4296875\n",
      "Loss = 55846.671875\n",
      "Loss = 54595.203125\n",
      "Loss = 55231.859375\n",
      "Loss = 53214.3515625\n",
      "Loss = 53574.46875\n",
      "Loss = 57228.015625\n",
      "Loss = 51843.890625\n",
      "Loss = 53110.515625\n",
      "Loss = 55867.3984375\n",
      "Loss = 53324.20703125\n",
      "Loss = 54303.0390625\n",
      "Loss = 53771.37890625\n",
      "Loss = 53366.609375\n",
      "Loss = 51676.52734375\n",
      "Loss = 53356.3203125\n",
      "Loss = 53006.421875\n",
      "Loss = 52738.4140625\n",
      "Loss = 53673.34375\n",
      "Loss = 54095.375\n",
      "Loss = 52516.9375\n",
      "Loss = 52847.9375\n",
      "Loss = 52706.859375\n",
      "Loss = 50636.01171875\n",
      "Loss = 54177.046875\n",
      "Loss = 54407.609375\n",
      "Loss = 52906.3125\n",
      "Loss = 55057.7109375\n",
      "Loss = 52558.2109375\n",
      "Loss = 55988.53515625\n",
      "Loss = 56090.234375\n",
      "Loss = 53709.5078125\n",
      "Loss = 53965.1640625\n",
      "Loss = 52412.91015625\n",
      "Loss = 54718.578125\n",
      "Loss = 52350.0703125\n",
      "Loss = 53819.6796875\n",
      "Loss = 51974.02734375\n",
      "Loss = 54659.328125\n",
      "Loss = 49719.0703125\n",
      "Loss = 50641.171875\n",
      "Loss = 55031.58203125\n",
      "Loss = 54398.3828125\n",
      "Loss = 52495.85546875\n",
      "Loss = 56352.109375\n",
      "Starting Epoch #8 of 10.\n",
      "Starting Epoch #8 of 10.\n",
      "Loss = 51212.7109375\n",
      "Loss = 52707.734375\n",
      "Loss = 49663.75\n",
      "Loss = 55912.0078125\n",
      "Loss = 51775.53125\n",
      "Loss = 52920.84765625\n",
      "Loss = 49984.3828125\n",
      "Loss = 52833.26953125\n",
      "Loss = 52246.609375\n",
      "Loss = 53255.375\n",
      "Loss = 53101.3671875\n",
      "Loss = 51743.2890625\n",
      "Loss = 55884.83203125\n",
      "Loss = 51622.40625\n",
      "Loss = 53094.1875\n",
      "Loss = 51847.546875\n",
      "Loss = 55116.9296875\n",
      "Loss = 54647.44140625\n",
      "Loss = 54135.078125\n",
      "Loss = 51981.90625\n",
      "Loss = 52906.4453125\n",
      "Loss = 51241.953125\n",
      "Loss = 51610.6875\n",
      "Loss = 53747.140625\n",
      "Loss = 52853.57421875\n",
      "Loss = 54156.80078125\n",
      "Loss = 53334.28125\n",
      "Loss = 52300.03515625\n",
      "Loss = 53396.3984375\n",
      "Loss = 52524.90234375\n",
      "Loss = 52914.3515625\n",
      "Loss = 50751.6796875\n",
      "Loss = 53696.6953125\n",
      "Loss = 53159.203125\n",
      "Loss = 53538.09375\n",
      "Loss = 52490.9921875\n",
      "Loss = 53028.8828125\n",
      "Loss = 51368.4765625\n",
      "Loss = 54527.109375\n",
      "Loss = 51390.5546875\n",
      "Loss = 50177.5234375\n",
      "Loss = 53190.51953125\n",
      "Loss = 55535.3828125\n",
      "Loss = 53687.734375\n",
      "Loss = 54770.40625\n",
      "Loss = 51408.0625\n",
      "Loss = 53772.6640625\n",
      "Loss = 52120.8671875\n",
      "Loss = 52658.765625\n",
      "Loss = 54031.61328125\n",
      "Loss = 52097.01171875\n",
      "Loss = 52216.18359375\n",
      "Loss = 53566.4296875\n",
      "Loss = 52628.28125\n",
      "Loss = 53321.56640625\n",
      "Loss = 54583.7734375\n",
      "Loss = 54949.0625\n",
      "Loss = 51187.375\n",
      "Loss = 51610.734375\n",
      "Loss = 53662.9609375\n",
      "Loss = 53062.03515625\n",
      "Loss = 53991.70703125\n",
      "Loss = 52432.15234375\n",
      "Loss = 51323.8671875\n",
      "Loss = 55288.671875\n",
      "Loss = 53814.046875\n",
      "Loss = 58023.5\n",
      "Loss = 53657.296875\n",
      "Loss = 53627.578125\n",
      "Loss = 55954.109375\n",
      "Loss = 52590.2734375\n",
      "Loss = 54854.05078125\n",
      "Loss = 53495.15234375\n",
      "Loss = 53751.203125\n",
      "Loss = 52117.08203125\n",
      "Loss = 53757.6484375\n",
      "Loss = 52247.81640625\n",
      "Loss = 54243.4375\n",
      "Loss = 55012.3203125\n",
      "Loss = 56012.984375\n",
      "Loss = 51886.921875\n",
      "Loss = 58615.8828125\n",
      "Loss = 54782.82421875\n",
      "Loss = 55183.70703125\n",
      "Loss = 54219.40234375\n",
      "Loss = 52297.49609375\n",
      "Loss = 52448.48828125\n",
      "Loss = 51654.41015625\n",
      "Loss = 53202.27734375\n",
      "Loss = 54658.2421875\n",
      "Loss = 54567.3125\n",
      "Loss = 54406.05859375\n",
      "Loss = 48909.3515625\n",
      "Loss = 51471.1328125\n",
      "Loss = 51635.0234375\n",
      "Loss = 52156.10546875\n",
      "Loss = 52335.78125\n",
      "Loss = 53324.5625\n",
      "Loss = 55161.1015625\n",
      "Loss = 51948.03515625\n",
      "Loss = 53192.91015625\n",
      "Loss = 54388.7578125\n",
      "Loss = 55179.65234375\n",
      "Loss = 54085.6875\n",
      "Loss = 52951.9453125\n",
      "Loss = 53103.3125\n",
      "Loss = 55355.8515625\n",
      "Loss = 53079.91796875\n",
      "Loss = 51311.125\n",
      "Loss = 53470.375\n",
      "Loss = 51393.91796875\n",
      "Loss = 53370.34375\n",
      "Loss = 53430.7578125\n",
      "Loss = 57214.75390625\n",
      "Loss = 55408.359375\n",
      "Loss = 56245.15625\n",
      "Loss = 51870.078125\n",
      "Loss = 54636.5234375\n",
      "Loss = 51524.75\n",
      "Loss = 54930.56640625\n",
      "Loss = 53995.22265625\n",
      "Loss = 51392.453125\n",
      "Loss = 49971.0\n",
      "Loss = 55892.3125\n",
      "Loss = 51011.41796875\n",
      "Loss = 56159.9140625\n",
      "Loss = 53028.4375\n",
      "Loss = 54473.25\n",
      "Loss = 52339.546875\n",
      "Loss = 53850.359375\n",
      "Loss = 55609.359375\n",
      "Loss = 55024.171875\n",
      "Loss = 53989.0078125\n",
      "Loss = 54501.703125\n",
      "Loss = 53255.96875\n",
      "Loss = 52541.4765625\n",
      "Loss = 53923.421875\n",
      "Loss = 53712.21875\n",
      "Loss = 54211.078125\n",
      "Loss = 54005.3046875\n",
      "Loss = 52764.69921875\n",
      "Loss = 52888.85546875\n",
      "Loss = 52717.33984375\n",
      "Loss = 51542.2109375\n",
      "Loss = 54504.578125\n",
      "Loss = 53341.05859375\n",
      "Loss = 53421.15234375\n",
      "Loss = 53588.7421875\n",
      "Loss = 53087.2265625\n",
      "Loss = 57336.3984375\n",
      "Loss = 55350.35546875\n",
      "Loss = 52941.8125\n",
      "Loss = 54244.703125\n",
      "Loss = 56509.875\n",
      "Loss = 52606.35546875\n",
      "Loss = 52421.5\n",
      "Loss = 53712.2734375\n",
      "Loss = 52800.09765625\n",
      "Loss = 54705.86328125\n",
      "Loss = 56069.25\n",
      "Loss = 52661.390625\n",
      "Loss = 51391.6875\n",
      "Loss = 55527.20703125\n",
      "Loss = 56127.4296875\n",
      "Loss = 53349.109375\n",
      "Loss = 52839.4453125\n",
      "Loss = 53393.5546875\n",
      "Loss = 53697.68359375\n",
      "Loss = 54188.96484375\n",
      "Loss = 54211.68359375\n",
      "Loss = 52183.5\n",
      "Loss = 53392.46484375\n",
      "Loss = 51551.5546875\n",
      "Loss = 53628.4375\n",
      "Loss = 53789.7109375\n",
      "Loss = 52890.7265625\n",
      "Loss = 55978.56640625\n",
      "Loss = 52765.66796875\n",
      "Loss = 50966.6875\n",
      "Loss = 54504.0546875\n",
      "Loss = 53986.8046875\n",
      "Loss = 52957.28125\n",
      "Loss = 54501.10546875\n",
      "Loss = 51691.765625\n",
      "Loss = 54527.84765625\n",
      "Loss = 52952.671875\n",
      "Loss = 54534.953125\n",
      "Starting Epoch #9 of 10.\n",
      "Starting Epoch #9 of 10.\n",
      "Loss = 54142.3828125\n",
      "Loss = 54958.07421875\n",
      "Loss = 53849.89453125\n",
      "Loss = 53301.375\n",
      "Loss = 51594.3046875\n",
      "Loss = 54798.34375\n",
      "Loss = 53674.4609375\n",
      "Loss = 52840.79296875\n",
      "Loss = 53788.421875\n",
      "Loss = 51445.83203125\n",
      "Loss = 51070.3984375\n",
      "Loss = 54439.73046875\n",
      "Loss = 52972.1875\n",
      "Loss = 53837.2265625\n",
      "Loss = 55265.96484375\n",
      "Loss = 54972.24609375\n",
      "Loss = 54222.81640625\n",
      "Loss = 52805.140625\n",
      "Loss = 52691.6796875\n",
      "Loss = 53184.29296875\n",
      "Loss = 52778.4375\n",
      "Loss = 53952.484375\n",
      "Loss = 53450.2421875\n",
      "Loss = 50910.3515625\n",
      "Loss = 53520.140625\n",
      "Loss = 54335.79296875\n",
      "Loss = 53108.484375\n",
      "Loss = 52581.90625\n",
      "Loss = 53036.63671875\n",
      "Loss = 52812.17578125\n",
      "Loss = 54228.203125\n",
      "Loss = 53812.58984375\n",
      "Loss = 55957.0859375\n",
      "Loss = 55329.99609375\n",
      "Loss = 53025.07421875\n",
      "Loss = 55234.421875\n",
      "Loss = 53462.2421875\n",
      "Loss = 52800.9921875\n",
      "Loss = 54941.859375\n",
      "Loss = 56058.65625\n",
      "Loss = 51564.69921875\n",
      "Loss = 51896.515625\n",
      "Loss = 51525.1875\n",
      "Loss = 51734.44921875\n",
      "Loss = 52436.05859375\n",
      "Loss = 52116.59765625\n",
      "Loss = 54370.7734375\n",
      "Loss = 54001.375\n",
      "Loss = 55846.60546875\n",
      "Loss = 49529.546875\n",
      "Loss = 53560.65625\n",
      "Loss = 51832.4921875\n",
      "Loss = 52678.25390625\n",
      "Loss = 51612.75\n",
      "Loss = 52113.9140625\n",
      "Loss = 55731.828125\n",
      "Loss = 53198.9375\n",
      "Loss = 48965.8671875\n",
      "Loss = 52749.7890625\n",
      "Loss = 54171.62109375\n",
      "Loss = 56098.953125\n",
      "Loss = 54589.94140625\n",
      "Loss = 54494.3359375\n",
      "Loss = 54394.015625\n",
      "Loss = 55034.8359375\n",
      "Loss = 51101.375\n",
      "Loss = 57178.015625\n",
      "Loss = 53551.72265625\n",
      "Loss = 51633.328125\n",
      "Loss = 54925.21875\n",
      "Loss = 51288.4765625\n",
      "Loss = 54034.1640625\n",
      "Loss = 54421.984375\n",
      "Loss = 52358.03515625\n",
      "Loss = 53255.8984375\n",
      "Loss = 51714.359375\n",
      "Loss = 53482.1015625\n",
      "Loss = 53947.390625\n",
      "Loss = 54516.625\n",
      "Loss = 52223.15625\n",
      "Loss = 51443.3203125\n",
      "Loss = 53081.80859375\n",
      "Loss = 52444.015625\n",
      "Loss = 51043.01953125\n",
      "Loss = 52356.4765625\n",
      "Loss = 54505.62890625\n",
      "Loss = 53595.171875\n",
      "Loss = 54010.3125\n",
      "Loss = 52650.5390625\n",
      "Loss = 52791.92578125\n",
      "Loss = 51409.12890625\n",
      "Loss = 55086.87109375\n",
      "Loss = 53403.42578125\n",
      "Loss = 54282.58203125\n",
      "Loss = 53151.0390625\n",
      "Loss = 53859.8359375\n",
      "Loss = 49763.8203125\n",
      "Loss = 52463.99609375\n",
      "Loss = 51851.328125\n",
      "Loss = 51818.73046875\n",
      "Loss = 55621.15234375\n",
      "Loss = 51470.9375\n",
      "Loss = 52774.640625\n",
      "Loss = 53584.6015625\n",
      "Loss = 53630.328125\n",
      "Loss = 52922.734375\n",
      "Loss = 59114.078125\n",
      "Loss = 52776.203125\n",
      "Loss = 49960.578125\n",
      "Loss = 52142.9765625\n",
      "Loss = 51891.3671875\n",
      "Loss = 52541.6328125\n",
      "Loss = 54605.6875\n",
      "Loss = 52285.1796875\n",
      "Loss = 54381.05078125\n",
      "Loss = 52750.83984375\n",
      "Loss = 52333.3984375\n",
      "Loss = 53129.20703125\n",
      "Loss = 52298.1640625\n",
      "Loss = 51527.2265625\n",
      "Loss = 58177.9765625\n",
      "Loss = 52602.42578125\n",
      "Loss = 53248.828125\n",
      "Loss = 54491.28125\n",
      "Loss = 52920.2265625\n",
      "Loss = 51565.5546875\n",
      "Loss = 52153.9921875\n",
      "Loss = 54634.5234375\n",
      "Loss = 54311.90625\n",
      "Loss = 52081.06640625\n",
      "Loss = 55056.03515625\n",
      "Loss = 56267.359375\n",
      "Loss = 52564.2265625\n",
      "Loss = 51895.984375\n",
      "Loss = 53123.03125\n",
      "Loss = 50159.7890625\n",
      "Loss = 54958.375\n",
      "Loss = 52737.296875\n",
      "Loss = 56119.421875\n",
      "Loss = 52907.4453125\n",
      "Loss = 52492.609375\n",
      "Loss = 52939.1953125\n",
      "Loss = 50832.1875\n",
      "Loss = 53899.8515625\n",
      "Loss = 56521.875\n",
      "Loss = 52317.15234375\n",
      "Loss = 49791.91015625\n",
      "Loss = 52361.296875\n",
      "Loss = 52962.984375\n",
      "Loss = 53159.046875\n",
      "Loss = 53587.8828125\n",
      "Loss = 51556.4609375\n",
      "Loss = 51716.6171875\n",
      "Loss = 52946.234375\n",
      "Loss = 53513.0390625\n",
      "Loss = 53391.16015625\n",
      "Loss = 53863.59375\n",
      "Loss = 50334.6171875\n",
      "Loss = 56062.19921875\n",
      "Loss = 54540.2109375\n",
      "Loss = 53295.8984375\n",
      "Loss = 50596.546875\n",
      "Loss = 52666.45703125\n",
      "Loss = 55241.5078125\n",
      "Loss = 54789.32421875\n",
      "Loss = 56048.93359375\n",
      "Loss = 53778.6015625\n",
      "Loss = 54841.82421875\n",
      "Loss = 53014.46484375\n",
      "Loss = 55546.51953125\n",
      "Loss = 52770.40625\n",
      "Loss = 51742.2578125\n",
      "Loss = 53597.53515625\n",
      "Loss = 53706.7578125\n",
      "Loss = 57085.27734375\n",
      "Loss = 53287.0234375\n",
      "Loss = 53974.0\n",
      "Loss = 50510.6015625\n",
      "Loss = 53593.890625\n",
      "Loss = 51955.7890625\n",
      "Loss = 55010.9765625\n",
      "Loss = 50949.09375\n",
      "Loss = 51402.89453125\n",
      "Loss = 52999.33984375\n",
      "Loss = 53038.6484375\n",
      "Loss = 51721.859375\n",
      "Loss = 53256.23046875\n",
      "Starting Epoch #10 of 10.\n",
      "Starting Epoch #10 of 10.\n",
      "Loss = 54717.96875\n",
      "Loss = 54843.4609375\n",
      "Loss = 54284.43359375\n",
      "Loss = 55477.046875\n",
      "Loss = 52286.5546875\n",
      "Loss = 50114.84375\n",
      "Loss = 51461.8828125\n",
      "Loss = 51533.39453125\n",
      "Loss = 53686.0625\n",
      "Loss = 52561.51953125\n",
      "Loss = 54507.546875\n",
      "Loss = 54447.4765625\n",
      "Loss = 55910.265625\n",
      "Loss = 51249.9765625\n",
      "Loss = 53077.484375\n",
      "Loss = 54461.6875\n",
      "Loss = 49981.5859375\n",
      "Loss = 51673.9765625\n",
      "Loss = 53360.78515625\n",
      "Loss = 53894.9375\n",
      "Loss = 51206.71875\n",
      "Loss = 54158.671875\n",
      "Loss = 52963.29296875\n",
      "Loss = 52427.578125\n",
      "Loss = 55881.74609375\n",
      "Loss = 56858.3359375\n",
      "Loss = 54509.1875\n",
      "Loss = 53146.609375\n",
      "Loss = 55309.70703125\n",
      "Loss = 50797.90625\n",
      "Loss = 51133.2421875\n",
      "Loss = 53227.828125\n",
      "Loss = 52303.390625\n",
      "Loss = 52207.44140625\n",
      "Loss = 52934.84375\n",
      "Loss = 52004.71875\n",
      "Loss = 52602.03515625\n",
      "Loss = 53282.7421875\n",
      "Loss = 52408.6875\n",
      "Loss = 52653.65625\n",
      "Loss = 51171.00390625\n",
      "Loss = 55547.2265625\n",
      "Loss = 52862.5234375\n",
      "Loss = 58832.1796875\n",
      "Loss = 51874.453125\n",
      "Loss = 54090.41796875\n",
      "Loss = 51853.78125\n",
      "Loss = 52596.421875\n",
      "Loss = 53645.39453125\n",
      "Loss = 52447.328125\n",
      "Loss = 54464.6796875\n",
      "Loss = 54230.4609375\n",
      "Loss = 52976.0625\n",
      "Loss = 52150.1484375\n",
      "Loss = 53217.28125\n",
      "Loss = 52861.9140625\n",
      "Loss = 51912.99609375\n",
      "Loss = 53557.62890625\n",
      "Loss = 52176.5\n",
      "Loss = 53076.296875\n",
      "Loss = 52826.046875\n",
      "Loss = 55149.6484375\n",
      "Loss = 52742.046875\n",
      "Loss = 48817.734375\n",
      "Loss = 52934.45703125\n",
      "Loss = 53642.08203125\n",
      "Loss = 52353.46875\n",
      "Loss = 54155.4765625\n",
      "Loss = 53108.96875\n",
      "Loss = 53475.48046875\n",
      "Loss = 51027.85546875\n",
      "Loss = 53249.30859375\n",
      "Loss = 52426.56640625\n",
      "Loss = 53079.9609375\n",
      "Loss = 54808.078125\n",
      "Loss = 55761.30078125\n",
      "Loss = 53871.94140625\n",
      "Loss = 54293.0625\n",
      "Loss = 52182.7109375\n",
      "Loss = 52863.90625\n",
      "Loss = 53849.47265625\n",
      "Loss = 51047.60546875\n",
      "Loss = 52686.984375\n",
      "Loss = 52610.359375\n",
      "Loss = 53879.91015625\n",
      "Loss = 53354.09375\n",
      "Loss = 52524.99609375\n",
      "Loss = 52242.0546875\n",
      "Loss = 52952.3203125\n",
      "Loss = 54236.546875\n",
      "Loss = 53360.1640625\n",
      "Loss = 50774.19921875\n",
      "Loss = 52383.515625\n",
      "Loss = 50784.828125\n",
      "Loss = 51398.2734375\n",
      "Loss = 56242.109375\n",
      "Loss = 51587.3671875\n",
      "Loss = 54497.203125\n",
      "Loss = 56093.65234375\n",
      "Loss = 52569.765625\n",
      "Loss = 55142.28515625\n",
      "Loss = 50562.54296875\n",
      "Loss = 51543.5234375\n",
      "Loss = 52346.09375\n",
      "Loss = 53919.296875\n",
      "Loss = 49974.69140625\n",
      "Loss = 51716.59375\n",
      "Loss = 49381.2421875\n",
      "Loss = 51212.0234375\n",
      "Loss = 49050.5234375\n",
      "Loss = 53571.0\n",
      "Loss = 52965.6953125\n",
      "Loss = 51356.39453125\n",
      "Loss = 54974.70703125\n",
      "Loss = 51636.125\n",
      "Loss = 53106.625\n",
      "Loss = 52916.3828125\n",
      "Loss = 56113.5859375\n",
      "Loss = 54528.51171875\n",
      "Loss = 52618.65625\n",
      "Loss = 55087.76171875\n",
      "Loss = 50363.24609375\n",
      "Loss = 51367.71875\n",
      "Loss = 53428.4765625\n",
      "Loss = 56982.7109375\n",
      "Loss = 52351.1015625\n",
      "Loss = 52138.7265625\n",
      "Loss = 55012.06640625\n",
      "Loss = 53134.01171875\n",
      "Loss = 52528.640625\n",
      "Loss = 52457.04296875\n",
      "Loss = 50982.6875\n",
      "Loss = 56244.0859375\n",
      "Loss = 54803.3984375\n",
      "Loss = 51537.03515625\n",
      "Loss = 53351.85546875\n",
      "Loss = 51950.9375\n",
      "Loss = 53296.875\n",
      "Loss = 52796.46875\n",
      "Loss = 53913.0\n",
      "Loss = 53606.83203125\n",
      "Loss = 53769.81640625\n",
      "Loss = 52329.5625\n",
      "Loss = 54035.9375\n",
      "Loss = 57916.49609375\n",
      "Loss = 55077.2890625\n",
      "Loss = 50755.25\n",
      "Loss = 53488.390625\n",
      "Loss = 54676.015625\n",
      "Loss = 51492.625\n",
      "Loss = 52518.1953125\n",
      "Loss = 52850.4609375\n",
      "Loss = 53430.171875\n",
      "Loss = 54836.5625\n",
      "Loss = 51540.515625\n",
      "Loss = 53333.2109375\n",
      "Loss = 52914.078125\n",
      "Loss = 51078.1484375\n",
      "Loss = 52440.625\n",
      "Loss = 52717.0703125\n",
      "Loss = 54330.13671875\n",
      "Loss = 51784.02734375\n",
      "Loss = 54128.4921875\n",
      "Loss = 52564.7734375\n",
      "Loss = 52358.40625\n",
      "Loss = 53189.97265625\n",
      "Loss = 52478.11328125\n",
      "Loss = 52080.03125\n",
      "Loss = 52572.34765625\n",
      "Loss = 52141.3984375\n",
      "Loss = 52969.359375\n",
      "Loss = 51985.16796875\n",
      "Loss = 53566.5703125\n",
      "Loss = 51135.5\n",
      "Loss = 52771.25\n",
      "Loss = 53729.62890625\n",
      "Loss = 55716.203125\n",
      "Loss = 53748.421875\n",
      "Loss = 54063.4765625\n",
      "Loss = 52385.7578125\n",
      "Loss = 51167.2421875\n",
      "Loss = 55236.32421875\n",
      "Loss = 54621.06640625\n",
      "Loss = 49752.40234375\n",
      "Loss = 51112.8125\n",
      "Loss = 53975.3515625\n",
      "Loss = 54715.58984375\n",
      "oh\n",
      "tf.Tensor([[6482]], shape=(1, 1), dtype=int32)\n",
      "oh my\n"
     ]
    }
   ],
   "source": [
    "num_batches = int(len(s_text_ix)/(batch_size * training_seq_len)) + 1\n",
    "batches = np.array_split(s_text_ix, num_batches)\n",
    "batches = [np.resize(x, [batch_size, training_seq_len]) for x in batches]\n",
    "print(batches)\n",
    "print(batch_size)\n",
    "test_lstm_model = LSTM_Model(embedding_size, rnn_size, batch_size, learning_rate,\n",
    "                             training_seq_len, vocab_size, infer_sample=True)\n",
    "num_batches = int(len(s_text_ix)/(batch_size * training_seq_len)) + 1\n",
    "batches = np.array_split(s_text_ix, num_batches)\n",
    "batches = [np.resize(x, [batch_size, training_seq_len]) for x in batches]\n",
    "print(batches)\n",
    "print(batch_size)\n",
    "train_loss = []\n",
    "iteration_count = 1\n",
    "state = lstm_model.get_initial_state(batch_size)\n",
    "for epoch in range(epochs):\n",
    "    # Shuffle word indices\n",
    "    print('Starting Epoch #{} of {}.'.format(epoch+1, epochs))\n",
    "    random.shuffle(batches)\n",
    "    # Create targets from shuffled batches\n",
    "    targets = [np.roll(x, -1, axis=1) for x in batches]\n",
    "    # Run a through one epoch\n",
    "    print('Starting Epoch #{} of {}.'.format(epoch+1, epochs))\n",
    "    # Reset initial LSTM state every epoch\n",
    "    #state = lstm_model.get_initial_state(batch_size)\n",
    "    #state = sess.run(lstm_model.initial_state)\n",
    "    for ix, batch in enumerate(batches):\n",
    "        batch_loss = lstm_model.train_op(batch, targets[ix],state)\n",
    "        train_loss.append(batch_loss)\n",
    "        print('Loss = {}'.format(batch_loss))\n",
    "\n",
    "generated_text = lstm_model.sample(words=ix2vocab, vocab=vocab2ix, num=20, prime_text='oh my')\n",
    "print(generated_text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot loss over time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = range(len(train_loss))\n",
    "plt.plot(x, train_loss, 'k-')\n",
    "plt.xlabel('Generation')\n",
    "plt.ylabel('Loss')\n",
    "plt.title('Sequence to Sequence Loss')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Your turn! 🚀\n",
    "\n",
    "Assignment - [Bitcoin lstm model with tweet volume and sentiment](../../assignments/deep-learning/lstm/bitcoin-lstm-model-with-tweet-volume-and-sentiment.ipynb)\n",
    "\n",
    "## Acknowledgments\n",
    "\n",
    "Thanks to [Nick](https://github.com/nfmcclure) for creating the open-source project [tensorflow_cookbook](https://github.com/nfmcclure/tensorflow_cookbook) and [Sebastian Raschka](https://github.com/rasbt) for creating the open-source project [stat453-deep-learning-ss20](https://github.com/rasbt/stat453-deep-learning-ss20). They inspire the majority of the content in this chapter."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "open-machine-learning-jupyter-book",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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