mnist.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tfgen.models.mnist_cnn import *\n",
    "import matplotlib.pyplot as plt\n",
    "import json\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "mnist = tf.keras.datasets.mnist\n",
    "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n",
    "\n",
    "def transform(x):\n",
    "    return x / 255.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f82a7128ac8>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(transform(x_train[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "cnn = MNIST_CNN()\n",
    "inp, label, out, train, loss, output_names, acc, acc_update, saver = cnn.model()\n",
    "use_checkpoint = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "sess = tf.Session()\n",
    "sess.run(tf.global_variables_initializer())\n",
    "sess.run(tf.local_variables_initializer())\n",
    "\n",
    "if use_checkpoint:\n",
    "    saver.restore(sess, 'ckpt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "y = sess.run(cnn.conv1, feed_dict={inp: [transform(x_train[0])]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "output = np.transpose(y[0], [2, 0, 1])\n",
    "_, axes = plt.subplots(2, 4)\n",
    "_ = [axes[i//4][i%4].imshow(output[i]) for i in range(8)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.44047569e-02,\n",
       "          1.59160160e-02,  1.64066926e-02,  1.64066926e-02,\n",
       "          2.65811812e-02,  3.10561303e-02,  3.50573696e-02,\n",
       "          2.22960971e-02,  3.06112040e-02,  4.35753800e-02,\n",
       "          4.57330570e-02,  3.41663733e-02,  1.82765201e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.69483796e-02,  1.84949804e-02,\n",
       "          2.41553299e-02,  3.17051038e-02,  3.84467579e-02,\n",
       "          6.34872764e-02,  6.79011047e-02,  6.79011047e-02,\n",
       "          1.85679376e-01,  2.08815858e-01,  2.49841586e-01,\n",
       "          8.58590007e-02,  2.27557316e-01,  3.42083812e-01,\n",
       "          3.38651180e-01,  1.93001702e-01,  3.05985287e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.87383369e-02,  7.08627552e-02,  8.83991569e-02,\n",
       "          1.52820632e-01,  2.24821553e-01,  2.49065220e-01,\n",
       "          3.41392010e-01,  3.50791812e-01,  3.50791812e-01,\n",
       "          3.50791812e-01,  3.50603402e-01,  3.05117965e-01,\n",
       "          2.37943619e-01,  3.19915205e-01,  3.14643145e-01,\n",
       "          2.59690017e-01,  1.07276320e-01,  2.13701800e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          6.92543238e-02,  3.00440252e-01,  3.47980827e-01,\n",
       "          3.50791812e-01,  3.50791812e-01,  3.50791812e-01,\n",
       "          3.50791812e-01,  3.45610380e-01,  3.42303872e-01,\n",
       "          3.47904027e-01,  3.47283959e-01,  1.51851773e-01,\n",
       "          1.14078701e-01,  1.12832934e-01,  8.44789147e-02,\n",
       "          6.29952177e-02,  1.85389109e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          3.37518454e-02,  2.62525469e-01,  3.32143962e-01,\n",
       "          3.33864361e-01,  3.46015900e-01,  3.50791812e-01,\n",
       "          3.46269816e-01,  2.66443610e-01,  2.35383824e-01,\n",
       "          3.08147997e-01,  3.20829779e-01,  4.64531705e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.01365298e-01,  1.94625273e-01,\n",
       "          1.49029136e-01,  3.16687256e-01,  3.47553343e-01,\n",
       "          2.83089995e-01,  5.22785261e-02,  1.53678907e-02,\n",
       "          6.10153340e-02,  1.86935022e-01,  3.15627493e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  2.93896869e-02,\n",
       "          1.67981833e-02,  1.95273429e-01,  3.35850865e-01,\n",
       "          1.67098761e-01,  3.07183433e-02,  1.41875558e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.66743428e-01,  3.24029893e-01,\n",
       "          2.80027002e-01,  5.26914969e-02,  1.66384540e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  2.61180680e-02,  2.25867689e-01,\n",
       "          3.35395366e-01,  1.48192719e-01,  4.44831401e-02,\n",
       "          2.95304973e-02,  1.77492071e-02,  1.41548440e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  5.22910170e-02,\n",
       "          2.88536787e-01,  3.12046587e-01,  2.45775387e-01,\n",
       "          1.82131276e-01,  4.69306000e-02,  2.04832852e-02,\n",
       "          1.49399256e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.02455840e-01,  2.89264321e-01,  3.36203575e-01,\n",
       "          3.48600119e-01,  2.04659536e-01,  7.72697628e-02,\n",
       "          2.44037826e-02,  1.50053483e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  6.31964132e-02,  2.23566100e-01,\n",
       "          3.20378035e-01,  3.45463723e-01,  2.38433555e-01,\n",
       "          8.64473283e-02,  2.32969951e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  3.15707661e-02,\n",
       "          1.17354318e-01,  3.22928280e-01,  3.50547701e-01,\n",
       "          2.78439373e-01,  4.94745709e-02,  1.62156820e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.84557103e-02,  2.78739426e-02,\n",
       "          3.56147625e-02,  3.15487385e-01,  3.50338817e-01,\n",
       "          3.42096090e-01,  1.19075850e-01,  2.14356035e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.77962538e-02,\n",
       "          2.93407105e-02,  9.07019675e-02,  1.92427486e-01,\n",
       "          2.60524243e-01,  3.42864275e-01,  3.50509197e-01,\n",
       "          2.93840080e-01,  4.56996523e-02,  1.43486336e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.63831301e-02,  2.56469529e-02,  8.12023282e-02,\n",
       "          2.11002752e-01,  3.12727541e-01,  3.48073810e-01,\n",
       "          3.50791812e-01,  3.45892996e-01,  3.29332739e-01,\n",
       "          2.43464530e-01,  3.47337723e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.62889212e-02,  2.10922472e-02,\n",
       "          6.25204146e-02,  1.71963960e-01,  3.00152719e-01,\n",
       "          3.47167790e-01,  3.50791812e-01,  3.45610380e-01,\n",
       "          3.32788825e-01,  2.64811069e-01,  1.22013047e-01,\n",
       "          2.29556914e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.58178806e-02,\n",
       "          3.08205541e-02,  6.54298514e-02,  1.19701058e-01,\n",
       "          2.85992354e-01,  3.46261799e-01,  3.50791812e-01,\n",
       "          3.45327735e-01,  3.32596511e-01,  2.62166232e-01,\n",
       "          1.25173882e-01,  2.54765227e-02,  1.43486336e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.93035863e-02,  3.21250930e-02,  6.06693216e-02,\n",
       "          2.33870447e-01,  3.04426938e-01,  3.46941292e-01,\n",
       "          3.50791812e-01,  3.49943936e-01,  3.39192420e-01,\n",
       "          2.60816753e-01,  1.23809025e-01,  3.29970494e-02,\n",
       "          1.51413893e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          8.69141370e-02,  2.36207217e-01,  3.12173963e-01,\n",
       "          3.47734064e-01,  3.46929282e-01,  3.38334054e-01,\n",
       "          3.35532635e-01,  3.14691484e-01,  1.87320471e-01,\n",
       "          4.11804169e-02,  1.53678907e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.62435517e-01,  3.05430740e-01,  3.18681061e-01,\n",
       "          3.18681061e-01,  2.73968965e-01,  1.85354143e-01,\n",
       "          1.73362195e-01,  4.65198644e-02,  1.59341451e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
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       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
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       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
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       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
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       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02]],\n",
       "\n",
       "       [[ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
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       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
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       "         -2.45166868e-01, -5.23761883e-02, -2.58916676e-01,\n",
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       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
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       "         -2.80327648e-01, -4.00062859e-01, -4.00062859e-01,\n",
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       "         -6.26498759e-01, -4.41319883e-01, -1.15004897e-01,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
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       "         -6.34669960e-01, -6.53272212e-01, -6.53272212e-01,\n",
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       "         -3.00458938e-01, -1.49808332e-01, -1.11514255e-02,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "         -4.06949371e-02, -2.61344701e-01, -6.02239370e-01,\n",
       "         -6.53272212e-01, -6.53272212e-01, -6.53272212e-01,\n",
       "         -6.53272212e-01, -6.46939158e-01, -5.67981958e-01,\n",
       "         -5.53033054e-01, -6.41771197e-01, -4.70328689e-01,\n",
       "         -8.76267776e-02, -8.51614177e-02, -6.29739761e-02,\n",
       "         -4.26395945e-02, -5.54833282e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "         -1.21680424e-02, -1.96939975e-01, -3.91921431e-01,\n",
       "         -5.00458181e-01, -4.48567301e-01, -6.53272212e-01,\n",
       "         -6.47745192e-01, -5.11171520e-01, -2.11919039e-01,\n",
       "         -2.53330022e-01, -3.35848987e-01, -2.66743004e-01,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03, -6.50765449e-02, -1.49474099e-01,\n",
       "         -1.42825037e-01, -2.55824298e-01, -5.14465451e-01,\n",
       "         -5.93541861e-01, -1.78327844e-01,  7.27131031e-04,\n",
       "         -3.35021168e-02, -1.37862742e-01, -3.13225575e-02,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03, -8.75458959e-03,\n",
       "         -7.98603287e-04, -1.44454956e-01, -4.71245915e-01,\n",
       "         -5.06919801e-01, -2.83605784e-01,  3.88314016e-04,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03, -1.16691582e-01, -2.81162411e-01,\n",
       "         -5.11178792e-01, -4.03886437e-01, -9.54019725e-02,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03, -6.19450118e-03, -1.65441990e-01,\n",
       "         -3.32115322e-01, -4.77057606e-01, -3.46389621e-01,\n",
       "         -2.33577564e-01, -1.48348242e-01,  1.79040281e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03, -2.66752131e-02,\n",
       "         -2.19639212e-01, -3.84032458e-01, -5.49406826e-01,\n",
       "         -5.08691072e-01, -3.90297145e-01, -1.66758865e-01,\n",
       "         -3.18597257e-02,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "         -6.59299120e-02, -2.24950269e-01, -3.51009339e-01,\n",
       "         -5.59332311e-01, -5.38921535e-01, -4.16812748e-01,\n",
       "         -2.15832889e-01, -3.46639045e-02,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03, -3.52088436e-02, -1.67460948e-01,\n",
       "         -2.87537456e-01, -4.28822905e-01, -5.63973725e-01,\n",
       "         -4.29727763e-01, -2.65049428e-01,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03, -1.04613164e-02,\n",
       "         -7.97562450e-02, -2.61370033e-01, -6.47439718e-01,\n",
       "         -5.96489668e-01, -3.95208120e-01, -8.65411907e-02,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03, -2.10426259e-03, -7.62726814e-02,\n",
       "         -2.00150922e-01, -4.95009273e-01, -6.52375758e-01,\n",
       "         -6.44562066e-01, -3.97692174e-01, -1.39556024e-02,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03, -1.29823457e-03,\n",
       "         -6.85307011e-02, -2.69939959e-01, -4.68264878e-01,\n",
       "         -5.65969586e-01, -6.37583554e-01, -6.52926803e-01,\n",
       "         -6.01635814e-01, -3.00087988e-01,  2.74424418e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          4.28967876e-04, -4.35843766e-02, -2.15374231e-01,\n",
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       "          3.19249160e-03]],\n",
       "\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  3.13100554e-02,  8.06570351e-02,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.96751412e-02,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  2.33771596e-02,\n",
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       "         -1.63890738e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  2.51400247e-02,  6.85596913e-02,\n",
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       "         -2.83428133e-01, -2.20995322e-01,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  2.00277139e-02,\n",
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       "         -2.17912152e-01, -2.39762440e-01, -6.87991530e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "          6.57409653e-02,  1.05491564e-01,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
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       "         -6.66862540e-03,  1.11118190e-01,  5.76000512e-02,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "          1.84532702e-01,  1.77304953e-01,  1.43842623e-01,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "         -3.26187313e-02, -3.26187313e-02, -3.26187313e-02,\n",
       "         -3.26187313e-02, -3.26187313e-02, -3.26187313e-02,\n",
       "         -3.26187313e-02]]], dtype=float32)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.set_printoptions(threshold=np.inf)\n",
    "output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "json.dumps(transform(x_train[0].reshape([1, 28, 28])).tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Batch: 999\tLoss: 0.001\tAccuracy: 0.972\n",
      "Batch: TEST\tLoss: 8.377\tAccuracy: 0.228\n",
      "INFO:tensorflow:Restoring parameters from ./ckpt\n",
      "INFO:tensorflow:Froze 8 variables.\n",
      "INFO:tensorflow:Converted 8 variables to const ops.\n"
     ]
    }
   ],
   "source": [
    "num_batches = 10\n",
    "batch_size = 25\n",
    "\n",
    "for i in range(num_batches):\n",
    "    x_batch, y_batch = cnn.batch(batch_size)\n",
    "    x_batch = x_batch.astype(np.float32)\n",
    "    x_batch /= 255.0\n",
    "\n",
    "    _, loss_batch, acc_result, _ = sess.run([train, loss, acc, acc_update], feed_dict={\n",
    "        inp: x_batch,\n",
    "        label: y_batch,\n",
    "    })\n",
    "    print(\"\\033[K\", end='\\r')\n",
    "    print(\"Batch: %d\\tLoss: %.3f\\tAccuracy: %.3f\" % (i, loss_batch, acc_result), end='\\r')\n",
    "\n",
    "print()\n",
    "\n",
    "x_test, y_test = cnn.test_data()\n",
    "x_test = x_test.astype(np.float32)\n",
    "x_test /= 255.0\n",
    "acc_inits = [v for v in tf.local_variables() if 'accuracy/' in v.name]\n",
    "sess.run(tf.variables_initializer(acc_inits))\n",
    "loss_test, _ = sess.run([loss, acc_update], feed_dict={\n",
    "    inp: x_test,\n",
    "    label: y_test,\n",
    "})\n",
    "acc_result = sess.run(acc)\n",
    "print(\"Batch: TEST\\tLoss: %.3f\\tAccuracy: %.3f\" % (loss_test, acc_result))\n",
    "\n",
    "ckpt, meta_graph = save_checkpoint(sess)\n",
    "graph_def = save_graph(sess)\n",
    "output_graph = here(\"frozen.pb\")\n",
    "\n",
    "freeze_graph(graph_def, ckpt, meta_graph, output_names, output_graph)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Placeholder',\n",
       " 'Placeholder_1',\n",
       " 'one_hot/on_value',\n",
       " 'one_hot/off_value',\n",
       " 'one_hot/depth',\n",
       " 'one_hot',\n",
       " 'Reshape/shape',\n",
       " 'Reshape',\n",
       " 'conv2d/kernel/Initializer/random_uniform/shape',\n",
       " 'conv2d/kernel/Initializer/random_uniform/min',\n",
       " 'conv2d/kernel/Initializer/random_uniform/max',\n",
       " 'conv2d/kernel/Initializer/random_uniform/RandomUniform',\n",
       " 'conv2d/kernel/Initializer/random_uniform/sub',\n",
       " 'conv2d/kernel/Initializer/random_uniform/mul',\n",
       " 'conv2d/kernel/Initializer/random_uniform',\n",
       " 'conv2d/kernel',\n",
       " 'conv2d/kernel/Assign',\n",
       " 'conv2d/kernel/read',\n",
       " 'conv2d/bias/Initializer/zeros',\n",
       " 'conv2d/bias',\n",
       " 'conv2d/bias/Assign',\n",
       " 'conv2d/bias/read',\n",
       " 'conv2d/dilation_rate',\n",
       " 'conv2d/Conv2D',\n",
       " 'conv2d/BiasAdd',\n",
       " 'max_pooling2d/MaxPool',\n",
       " 'conv2d_1/kernel/Initializer/random_uniform/shape',\n",
       " 'conv2d_1/kernel/Initializer/random_uniform/min',\n",
       " 'conv2d_1/kernel/Initializer/random_uniform/max',\n",
       " 'conv2d_1/kernel/Initializer/random_uniform/RandomUniform',\n",
       " 'conv2d_1/kernel/Initializer/random_uniform/sub',\n",
       " 'conv2d_1/kernel/Initializer/random_uniform/mul',\n",
       " 'conv2d_1/kernel/Initializer/random_uniform',\n",
       " 'conv2d_1/kernel',\n",
       " 'conv2d_1/kernel/Assign',\n",
       " 'conv2d_1/kernel/read',\n",
       " 'conv2d_1/bias/Initializer/zeros',\n",
       " 'conv2d_1/bias',\n",
       " 'conv2d_1/bias/Assign',\n",
       " 'conv2d_1/bias/read',\n",
       " 'conv2d_1/dilation_rate',\n",
       " 'conv2d_1/Conv2D',\n",
       " 'conv2d_1/BiasAdd',\n",
       " 'max_pooling2d_1/MaxPool',\n",
       " 'flatten/Shape',\n",
       " 'flatten/strided_slice/stack',\n",
       " 'flatten/strided_slice/stack_1',\n",
       " 'flatten/strided_slice/stack_2',\n",
       " 'flatten/strided_slice',\n",
       " 'flatten/Reshape/shape/1',\n",
       " 'flatten/Reshape/shape',\n",
       " 'flatten/Reshape',\n",
       " 'dense/kernel/Initializer/random_normal/shape',\n",
       " 'dense/kernel/Initializer/random_normal/mean',\n",
       " 'dense/kernel/Initializer/random_normal/stddev',\n",
       " 'dense/kernel/Initializer/random_normal/RandomStandardNormal',\n",
       " 'dense/kernel/Initializer/random_normal/mul',\n",
       " 'dense/kernel/Initializer/random_normal',\n",
       " 'dense/kernel',\n",
       " 'dense/kernel/Assign',\n",
       " 'dense/kernel/read',\n",
       " 'dense/bias/Initializer/zeros',\n",
       " 'dense/bias',\n",
       " 'dense/bias/Assign',\n",
       " 'dense/bias/read',\n",
       " 'dense/MatMul',\n",
       " 'dense/BiasAdd',\n",
       " 'dense/Relu',\n",
       " 'dense_1/kernel/Initializer/random_normal/shape',\n",
       " 'dense_1/kernel/Initializer/random_normal/mean',\n",
       " 'dense_1/kernel/Initializer/random_normal/stddev',\n",
       " 'dense_1/kernel/Initializer/random_normal/RandomStandardNormal',\n",
       " 'dense_1/kernel/Initializer/random_normal/mul',\n",
       " 'dense_1/kernel/Initializer/random_normal',\n",
       " 'dense_1/kernel',\n",
       " 'dense_1/kernel/Assign',\n",
       " 'dense_1/kernel/read',\n",
       " 'dense_1/bias/Initializer/zeros',\n",
       " 'dense_1/bias',\n",
       " 'dense_1/bias/Assign',\n",
       " 'dense_1/bias/read',\n",
       " 'dense_1/MatMul',\n",
       " 'dense_1/BiasAdd',\n",
       " 'output',\n",
       " 'ArgMax/dimension',\n",
       " 'ArgMax',\n",
       " 'softmax_cross_entropy_loss/labels_stop_gradient',\n",
       " 'softmax_cross_entropy_loss/xentropy/Rank',\n",
       " 'softmax_cross_entropy_loss/xentropy/Shape',\n",
       " 'softmax_cross_entropy_loss/xentropy/Rank_1',\n",
       " 'softmax_cross_entropy_loss/xentropy/Shape_1',\n",
       " 'softmax_cross_entropy_loss/xentropy/Sub/y',\n",
       " 'softmax_cross_entropy_loss/xentropy/Sub',\n",
       " 'softmax_cross_entropy_loss/xentropy/Slice/begin',\n",
       " 'softmax_cross_entropy_loss/xentropy/Slice/size',\n",
       " 'softmax_cross_entropy_loss/xentropy/Slice',\n",
       " 'softmax_cross_entropy_loss/xentropy/concat/values_0',\n",
       " 'softmax_cross_entropy_loss/xentropy/concat/axis',\n",
       " 'softmax_cross_entropy_loss/xentropy/concat',\n",
       " 'softmax_cross_entropy_loss/xentropy/Reshape',\n",
       " 'softmax_cross_entropy_loss/xentropy/Rank_2',\n",
       " 'softmax_cross_entropy_loss/xentropy/Shape_2',\n",
       " 'softmax_cross_entropy_loss/xentropy/Sub_1/y',\n",
       " 'softmax_cross_entropy_loss/xentropy/Sub_1',\n",
       " 'softmax_cross_entropy_loss/xentropy/Slice_1/begin',\n",
       " 'softmax_cross_entropy_loss/xentropy/Slice_1/size',\n",
       " 'softmax_cross_entropy_loss/xentropy/Slice_1',\n",
       " 'softmax_cross_entropy_loss/xentropy/concat_1/values_0',\n",
       " 'softmax_cross_entropy_loss/xentropy/concat_1/axis',\n",
       " 'softmax_cross_entropy_loss/xentropy/concat_1',\n",
       " 'softmax_cross_entropy_loss/xentropy/Reshape_1',\n",
       " 'softmax_cross_entropy_loss/xentropy',\n",
       " 'softmax_cross_entropy_loss/xentropy/Sub_2/y',\n",
       " 'softmax_cross_entropy_loss/xentropy/Sub_2',\n",
       " 'softmax_cross_entropy_loss/xentropy/Slice_2/begin',\n",
       " 'softmax_cross_entropy_loss/xentropy/Slice_2/size',\n",
       " 'softmax_cross_entropy_loss/xentropy/Slice_2',\n",
       " 'softmax_cross_entropy_loss/xentropy/Reshape_2',\n",
       " 'softmax_cross_entropy_loss/assert_broadcastable/weights',\n",
       " 'softmax_cross_entropy_loss/assert_broadcastable/weights/shape',\n",
       " 'softmax_cross_entropy_loss/assert_broadcastable/weights/rank',\n",
       " 'softmax_cross_entropy_loss/assert_broadcastable/values/shape',\n",
       " 'softmax_cross_entropy_loss/assert_broadcastable/values/rank',\n",
       " 'softmax_cross_entropy_loss/assert_broadcastable/static_scalar_check_success',\n",
       " 'softmax_cross_entropy_loss/ToFloat/x',\n",
       " 'softmax_cross_entropy_loss/Mul',\n",
       " 'softmax_cross_entropy_loss/Const',\n",
       " 'softmax_cross_entropy_loss/Sum',\n",
       " 'softmax_cross_entropy_loss/num_present/Equal/y',\n",
       " 'softmax_cross_entropy_loss/num_present/Equal',\n",
       " 'softmax_cross_entropy_loss/num_present/zeros_like',\n",
       " 'softmax_cross_entropy_loss/num_present/ones_like/Shape',\n",
       " 'softmax_cross_entropy_loss/num_present/ones_like/Const',\n",
       " 'softmax_cross_entropy_loss/num_present/ones_like',\n",
       " 'softmax_cross_entropy_loss/num_present/Select',\n",
       " 'softmax_cross_entropy_loss/num_present/broadcast_weights/assert_broadcastable/weights/shape',\n",
       " 'softmax_cross_entropy_loss/num_present/broadcast_weights/assert_broadcastable/weights/rank',\n",
       " 'softmax_cross_entropy_loss/num_present/broadcast_weights/assert_broadcastable/values/shape',\n",
       " 'softmax_cross_entropy_loss/num_present/broadcast_weights/assert_broadcastable/values/rank',\n",
       " 'softmax_cross_entropy_loss/num_present/broadcast_weights/assert_broadcastable/static_scalar_check_success',\n",
       " 'softmax_cross_entropy_loss/num_present/broadcast_weights/ones_like/Shape',\n",
       " 'softmax_cross_entropy_loss/num_present/broadcast_weights/ones_like/Const',\n",
       " 'softmax_cross_entropy_loss/num_present/broadcast_weights/ones_like',\n",
       " 'softmax_cross_entropy_loss/num_present/broadcast_weights',\n",
       " 'softmax_cross_entropy_loss/num_present/Const',\n",
       " 'softmax_cross_entropy_loss/num_present',\n",
       " 'softmax_cross_entropy_loss/Const_1',\n",
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       " 'save_2/SaveV2/tensor_names',\n",
       " 'save_2/SaveV2/shape_and_slices',\n",
       " 'save_2/SaveV2',\n",
       " 'save_2/control_dependency',\n",
       " 'save_2/RestoreV2/tensor_names',\n",
       " 'save_2/RestoreV2/shape_and_slices',\n",
       " 'save_2/RestoreV2',\n",
       " 'save_2/Assign',\n",
       " 'save_2/Assign_1',\n",
       " 'save_2/Assign_2',\n",
       " 'save_2/Assign_3',\n",
       " 'save_2/Assign_4',\n",
       " 'save_2/Assign_5',\n",
       " 'save_2/Assign_6',\n",
       " 'save_2/Assign_7',\n",
       " 'save_2/Assign_8',\n",
       " 'save_2/Assign_9',\n",
       " 'save_2/Assign_10',\n",
       " 'save_2/Assign_11',\n",
       " 'save_2/Assign_12',\n",
       " 'save_2/Assign_13',\n",
       " 'save_2/Assign_14',\n",
       " 'save_2/Assign_15',\n",
       " 'save_2/Assign_16',\n",
       " 'save_2/Assign_17',\n",
       " 'save_2/Assign_18',\n",
       " 'save_2/Assign_19',\n",
       " 'save_2/Assign_20',\n",
       " 'save_2/Assign_21',\n",
       " 'save_2/Assign_22',\n",
       " 'save_2/Assign_23',\n",
       " 'save_2/Assign_24',\n",
       " 'save_2/Assign_25',\n",
       " 'save_2/restore_all']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[n.name for n in sess.graph.get_operations()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2, 2, 1, 8)\n"
     ]
    }
   ],
   "source": [
    "conv_weights = sess.graph.get_tensor_by_name('conv2d/kernel:0')\n",
    "print(conv_weights.shape)\n",
    "conv_weights_data = sess.run(tf.transpose(conv_weights, [3, 2, 0, 1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(8,)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([ 0.01412213,  0.00319249,  0.03526219, -0.0250259 ,  0.01720713,\n",
       "       -0.02350969, -0.01498715, -0.03261873], dtype=float32)"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "conv_bias = sess.graph.get_tensor_by_name('conv2d/bias:0')\n",
    "print(conv_bias.shape)\n",
    "conv_bias_data = sess.run(conv_bias)\n",
    "conv_bias_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[[ 0.02887894,  0.2780876 ],\n",
       "         [ 0.00834149,  0.0240231 ]]],\n",
       "\n",
       "\n",
       "       [[[-0.05715154, -0.21760756],\n",
       "         [-0.35753262, -0.02936244]]],\n",
       "\n",
       "\n",
       "       [[[-0.05253833,  0.12001714],\n",
       "         [-0.23218466,  0.0273388 ]]],\n",
       "\n",
       "\n",
       "       [[[ 0.20287232,  0.3106366 ],\n",
       "         [-0.01422699, -0.06088253]]],\n",
       "\n",
       "\n",
       "       [[[ 0.12369522,  0.04495308],\n",
       "         [-0.34268126, -0.05204086]]],\n",
       "\n",
       "\n",
       "       [[[-0.17060503,  0.24534401],\n",
       "         [-0.26286626,  0.2865647 ]]],\n",
       "\n",
       "\n",
       "       [[[ 0.1994901 ,  0.20455547],\n",
       "         [-0.04739247, -0.07991572]]],\n",
       "\n",
       "\n",
       "       [[[ 0.30992737, -0.282874  ],\n",
       "         [ 0.03559659, -0.07156254]]]], dtype=float32)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "conv_weights_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 16.W, 10.BP\n",
    "# tf2rtl_output = np.array([[[0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.0146484375, 0.0146484375, 0.0146484375, 0.025390625, 0.0302734375, 0.0341796875, 0.021484375, 0.029296875, 0.04296875, 0.0458984375, 0.033203125, 0.017578125, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.015625, 0.017578125, 0.0234375, 0.03125, 0.037109375, 0.0625, 0.06640625, 0.06640625, 0.18359375, 0.2060546875, 0.248046875, 0.0830078125, 0.2265625, 0.3408203125, 0.3388671875, 0.19140625, 0.029296875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.017578125, 0.0693359375, 0.0869140625, 0.150390625, 0.2236328125, 0.248046875, 0.33984375, 0.3486328125, 0.3486328125, 0.3486328125, 0.3486328125, 0.3037109375, 0.2373046875, 0.318359375, 0.3125, 0.2568359375, 0.10546875, 0.0205078125, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.0673828125, 0.298828125, 0.3466796875, 0.3486328125, 0.3486328125, 0.3486328125, 0.3486328125, 0.34375, 0.33984375, 0.3466796875, 0.345703125, 0.150390625, 0.1123046875, 0.111328125, 0.0830078125, 0.0615234375, 0.017578125, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.033203125, 0.2607421875, 0.330078125, 0.33203125, 0.34375, 0.3486328125, 0.3447265625, 0.265625, 0.234375, 0.3076171875, 0.3203125, 0.0458984375, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.1005859375, 0.193359375, 0.1474609375, 0.3154296875, 0.345703125, 0.28125, 0.0517578125, 0.0146484375, 0.060546875, 0.1865234375, 0.03125, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.0283203125, 0.015625, 0.1943359375, 0.333984375, 0.1650390625, 0.029296875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.166015625, 0.322265625, 0.2783203125, 0.05078125, 0.015625, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.025390625, 0.224609375, 0.333984375, 0.1474609375, 0.04296875, 0.0283203125, 0.0166015625, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.0517578125, 0.287109375, 0.310546875, 0.244140625, 0.1796875, 0.044921875, 0.01953125, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.1015625, 0.2880859375, 0.3349609375, 0.3466796875, 0.203125, 0.0751953125, 0.0224609375, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.0625, 0.2216796875, 0.318359375, 0.34375, 0.236328125, 0.0849609375, 0.0224609375, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.0302734375, 0.115234375, 0.3212890625, 0.3486328125, 0.27734375, 0.048828125, 0.015625, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.017578125, 0.0263671875, 0.0341796875, 0.314453125, 0.3486328125, 0.3408203125, 0.1181640625, 0.0205078125, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.0166015625, 0.0283203125, 0.08984375, 0.19140625, 0.2587890625, 0.3408203125, 0.3486328125, 0.2919921875, 0.044921875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.015625, 0.0244140625, 0.080078125, 0.208984375, 0.3115234375, 0.345703125, 0.3486328125, 0.34375, 0.328125, 0.2421875, 0.0341796875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.015625, 0.01953125, 0.060546875, 0.169921875, 0.2978515625, 0.3447265625, 0.3486328125, 0.34375, 0.330078125, 0.2626953125, 0.12109375, 0.0224609375, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.0146484375, 0.029296875, 0.064453125, 0.1171875, 0.283203125, 0.3447265625, 0.3486328125, 0.34375, 0.330078125, 0.259765625, 0.1240234375, 0.0244140625, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.0185546875, 0.0302734375, 0.060546875, 0.232421875, 0.302734375, 0.3447265625, 0.3486328125, 0.34765625, 0.337890625, 0.2587890625, 0.1220703125, 0.0322265625, 0.0146484375, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.0859375, 0.234375, 0.310546875, 0.345703125, 0.3447265625, 0.3369140625, 0.3330078125, 0.3125, 0.185546875, 0.0400390625, 0.0146484375, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875, 0.013671875], [0.013671875, 0.013671875, 0.013671875, 0.1611328125, 0.3037109375, 0.3173828125, 0.3173828125, 0.2724609375, 0.18359375, 0.171875, 0.044921875, 0.0146484375, 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    "\n",
    "# 32.W, 16.BP\n",
    "tf2rtl_output = np.array([[[0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875], [0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 0.014129638671875, 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   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 4)\n",
    "fig.suptitle(\"MNIST Conv 1 results via TF2RTL in Hardware\", fontsize=16)\n",
    "_ = [axes[i//4][i%4].imshow(tf2rtl_output[i]) for i in range(8)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 4)\n",
    "fig.suptitle(\"MNIST Conv 1 results via Tensorflow in Python\", fontsize=16)\n",
    "_ = [axes[i//4][i%4].imshow(output[i]) for i in range(8)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_err = np.mean(np.abs(output - tf2rtl_output))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.00014053705183746695"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_err / np.mean(np.abs(output))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[ 0.01367188,  0.01367188,  0.01367188,  0.01367188,\n",
       "          0.01367188,  0.01367188,  0.01367188,  0.01367188,\n",
       "          0.01367188,  0.01367188,  0.01367188,  0.01367188,\n",
       "          0.01367188,  0.01367188,  0.01367188,  0.01367188,\n",
       "          0.01367188,  0.01367188,  0.01367188,  0.01367188,\n",
       "          0.01367188,  0.01367188,  0.01367188,  0.01367188,\n",
       "          0.01367188,  0.01367188,  0.01367188,  0.01367188],\n",
       "        [ 0.01367188,  0.01367188,  0.01367188,  0.01367188,\n",
       "          0.01367188,  0.01367188,  0.01367188,  0.01367188,\n",
       "          0.01367188,  0.01367188,  0.01367188,  0.01367188,\n",
       "          0.01367188,  0.01367188,  0.01367188,  0.01367188,\n",
       "          0.01367188,  0.01367188,  0.01367188,  0.01367188,\n",
       "          0.01367188,  0.01367188,  0.01367188,  0.01367188,\n",
       "          0.01367188,  0.01367188,  0.01367188,  0.01367188],\n",
       "        [ 0.01367188,  0.01367188,  0.01367188,  0.01367188,\n",
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       "          0.01367188,  0.01367188,  0.01367188,  0.01367188],\n",
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       "          0.20605469,  0.24804688,  0.08300781,  0.2265625 ,\n",
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       "          0.01367188,  0.01367188,  0.01367188,  0.01367188],\n",
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       "          0.01367188,  0.01367188,  0.01367188,  0.01367188],\n",
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       "          0.01367188,  0.01367188,  0.01367188,  0.01367188],\n",
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       "          0.01367188,  0.01367188,  0.01367188,  0.01367188],\n",
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       "          0.01367188,  0.01367188,  0.01367188,  0.01367188],\n",
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       "          0.01367188,  0.01367188,  0.01367188,  0.01367188]],\n",
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       "          0.00292969,  0.00292969,  0.00292969,  0.00292969],\n",
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       "          0.00292969,  0.00292969,  0.00292969,  0.00292969],\n",
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       "          0.00292969,  0.00292969,  0.00292969,  0.00292969,\n",
       "          0.00292969,  0.00292969,  0.00292969,  0.00292969],\n",
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       "          0.00292969,  0.00292969,  0.00292969,  0.00292969,\n",
       "          0.00292969,  0.00292969,  0.00292969,  0.00292969],\n",
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       "          0.00292969,  0.00292969,  0.00292969,  0.00292969],\n",
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       "          0.00292969,  0.00292969,  0.00292969,  0.00292969]],\n",
       "\n",
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       "          0.03515625,  0.03515625,  0.04003906,  0.12402344,\n",
       "          0.10742188, -0.18164062, -0.16894531, -0.10058594,\n",
       "         -0.06347656,  0.03417969,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625],\n",
       "        [ 0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.05078125,\n",
       "          0.1484375 ,  0.04101562, -0.12988281, -0.15234375,\n",
       "         -0.20605469, -0.07324219,  0.01171875,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625],\n",
       "        [ 0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.07324219,  0.13378906,  0.08203125, -0.04199219,\n",
       "         -0.16699219, -0.19433594, -0.10546875,  0.00976562,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625],\n",
       "        [ 0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.05566406,  0.11328125,  0.11035156,\n",
       "          0.04296875, -0.15136719, -0.19628906, -0.14160156,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625],\n",
       "        [ 0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.04199219,  0.07421875,\n",
       "          0.16015625, -0.09960938, -0.13476562, -0.22460938,\n",
       "         -0.0234375 ,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625],\n",
       "        [ 0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.04003906,  0.00683594, -0.06445312,\n",
       "          0.01171875, -0.10253906, -0.11035156, -0.17675781,\n",
       "          0.01953125,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625],\n",
       "        [ 0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.0390625 ,\n",
       "          0.01464844, -0.0546875 , -0.09667969, -0.11132812,\n",
       "         -0.08886719, -0.10351562, -0.13085938, -0.17382812,\n",
       "          0.03417969,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625],\n",
       "        [ 0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03710938,  0.02441406, -0.02832031,\n",
       "         -0.08007812, -0.09375   , -0.09863281, -0.10351562,\n",
       "         -0.10839844, -0.07617188, -0.00292969, -0.00292969,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625],\n",
       "        [ 0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03710938,\n",
       "          0.02050781,  0.0078125 , -0.08496094, -0.09082031,\n",
       "         -0.09667969, -0.10351562, -0.109375  , -0.07128906,\n",
       "          0.00195312,  0.02734375,  0.01855469,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625],\n",
       "        [ 0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03613281,  0.03613281, -0.08691406,\n",
       "         -0.11328125, -0.08398438, -0.09570312, -0.10351562,\n",
       "         -0.109375  , -0.06835938,  0.00195312,  0.0234375 ,\n",
       "          0.01757812,  0.03417969,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625],\n",
       "        [ 0.03515625,  0.03515625,  0.03515625,  0.04101562,\n",
       "          0.00195312, -0.09082031, -0.06933594, -0.10351562,\n",
       "         -0.09667969, -0.10351562, -0.10449219, -0.10742188,\n",
       "         -0.046875  ,  0.02050781,  0.02246094,  0.03320312,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625],\n",
       "        [ 0.03515625,  0.03515625,  0.03515625,  0.07421875,\n",
       "          0.00683594, -0.09960938, -0.09765625, -0.10742188,\n",
       "         -0.078125  , -0.0078125 , -0.0234375 ,  0.03222656,\n",
       "          0.01171875,  0.03222656,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625],\n",
       "        [ 0.03515625,  0.03515625,  0.03515625,  0.09863281,\n",
       "          0.12597656,  0.1015625 ,  0.1015625 ,  0.08203125,\n",
       "          0.0546875 ,  0.06835938,  0.01464844,  0.03125   ,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625],\n",
       "        [ 0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625],\n",
       "        [ 0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625],\n",
       "        [ 0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625,\n",
       "          0.03515625,  0.03515625,  0.03515625,  0.03515625]],\n",
       "\n",
       "       [[-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02636719,\n",
       "         -0.03125   , -0.03222656, -0.03222656, -0.05761719,\n",
       "         -0.06640625, -0.07519531, -0.04296875, -0.06738281,\n",
       "         -0.09570312, -0.09960938, -0.0703125 , -0.03320312,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.03320312,\n",
       "         -0.03613281, -0.05078125, -0.06835938, -0.07324219,\n",
       "         -0.07324219, -0.06542969, -0.06542969,  0.06640625,\n",
       "          0.1640625 ,  0.2265625 ,  0.08984375,  0.12597656,\n",
       "          0.34472656,  0.41699219,  0.29785156,  0.07128906,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.03710938, -0.04882812,\n",
       "         -0.03320312,  0.04199219,  0.16015625,  0.22851562,\n",
       "          0.34179688,  0.40820312,  0.40820312,  0.40820312,\n",
       "          0.40820312,  0.41210938,  0.33691406,  0.39453125,\n",
       "          0.45117188,  0.390625  ,  0.20410156,  0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062,  0.02929688,  0.24804688,\n",
       "          0.3984375 ,  0.40820312,  0.40820312,  0.40820312,\n",
       "          0.40820312,  0.42089844,  0.42773438,  0.41308594,\n",
       "          0.40917969,  0.27148438,  0.14746094,  0.13867188,\n",
       "          0.10644531,  0.06542969,  0.00488281, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.00390625,  0.234375  ,\n",
       "          0.4140625 ,  0.44726562,  0.41601562,  0.40820312,\n",
       "          0.41992188,  0.40039062,  0.35253906,  0.40917969,\n",
       "          0.42382812,  0.15625   , -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062,  0.07128906,\n",
       "          0.22363281,  0.2265625 ,  0.32910156,  0.41308594,\n",
       "          0.38867188,  0.14453125, -0.01757812,  0.02636719,\n",
       "          0.1953125 ,  0.09667969, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.00878906, -0.01367188,  0.12792969,  0.33496094,\n",
       "          0.22460938,  0.03320312, -0.02636719, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062,  0.140625  ,  0.34570312,\n",
       "          0.33398438,  0.09472656, -0.02929688, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.01269531,  0.20410156,\n",
       "          0.37207031,  0.19238281, -0.02148438, -0.06152344,\n",
       "         -0.03320312, -0.02636719, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062,  0.01660156,\n",
       "          0.27539062,  0.37695312,  0.27246094,  0.15722656,\n",
       "          0.01855469, -0.04003906, -0.02734375, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "          0.07226562,  0.3203125 ,  0.42480469,  0.41210938,\n",
       "          0.24511719,  0.04882812, -0.02148438, -0.02734375,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062,  0.02929688,  0.23144531,  0.40625   ,\n",
       "          0.41699219,  0.28222656,  0.06640625, -0.01660156,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.00683594,  0.09960938,\n",
       "          0.29492188,  0.40722656,  0.32910156,  0.09277344,\n",
       "         -0.02929688, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.03710938, -0.05957031, -0.07714844,\n",
       "          0.20605469,  0.40527344,  0.4140625 ,  0.23632812,\n",
       "          0.02441406, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.03515625,\n",
       "         -0.06347656, -0.03320312,  0.09472656,  0.22558594,\n",
       "          0.35253906,  0.40917969,  0.36914062,  0.12988281,\n",
       "         -0.02441406, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.03125   , -0.0546875 , -0.03808594,\n",
       "          0.11132812,  0.29492188,  0.38867188,  0.40820312,\n",
       "          0.42089844,  0.44921875,  0.38964844,  0.11914062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.03125   ,\n",
       "         -0.04394531, -0.05175781,  0.05859375,  0.25878906,\n",
       "          0.3828125 ,  0.40820312,  0.42089844,  0.45214844,\n",
       "          0.4140625 ,  0.22753906,  0.03613281, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.03027344, -0.06835938, -0.06152344,\n",
       "         -0.00097656,  0.20996094,  0.37597656,  0.40820312,\n",
       "          0.421875  ,  0.45214844,  0.40820312,  0.22851562,\n",
       "          0.04101562, -0.02441406, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.0390625 ,\n",
       "         -0.0703125 , -0.06835938,  0.12207031,  0.30078125,\n",
       "          0.38085938,  0.40820312,  0.41015625,  0.43652344,\n",
       "          0.40234375,  0.22558594,  0.04882812, -0.01855469,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062,  0.0078125 ,\n",
       "          0.15820312,  0.31054688,  0.38671875,  0.41796875,\n",
       "          0.43847656,  0.44335938,  0.4609375 ,  0.32910156,\n",
       "          0.09277344, -0.01757812, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062,  0.13964844,\n",
       "          0.38964844,  0.48339844,  0.48339844,  0.43359375,\n",
       "          0.30664062,  0.2421875 ,  0.09765625, -0.01269531,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062],\n",
       "        [-0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062,\n",
       "         -0.02539062, -0.02539062, -0.02539062, -0.02539062]],\n",
       "\n",
       "       [[ 0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
       "        [ 0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
       "        [ 0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
       "        [ 0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
       "        [ 0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01660156,\n",
       "          0.00878906, -0.01074219, -0.01074219, -0.03320312,\n",
       "         -0.18066406, -0.20214844, -0.22363281, -0.05175781,\n",
       "         -0.2578125 , -0.37597656, -0.34179688, -0.15332031,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
       "        [ 0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
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       "         -0.03125   , -0.05078125, -0.140625  , -0.22460938,\n",
       "         -0.25976562, -0.36425781, -0.36425781, -0.34570312,\n",
       "         -0.29101562, -0.2734375 , -0.23144531, -0.22558594,\n",
       "         -0.24804688, -0.18164062, -0.1171875 , -0.0078125 ,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
       "        [ 0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.00683594, -0.09277344,\n",
       "         -0.33496094, -0.34277344, -0.30371094, -0.27148438,\n",
       "         -0.24902344, -0.20800781, -0.20800781, -0.20800781,\n",
       "         -0.20800781, -0.17773438,  0.01464844,  0.01660156,\n",
       "          0.06054688,  0.08398438,  0.0703125 ,  0.04785156,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
       "        [ 0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.02148438,  0.01269531,\n",
       "         -0.16992188, -0.20800781, -0.20800781, -0.20800781,\n",
       "         -0.20800781, -0.19726562, -0.11914062, -0.11132812,\n",
       "         -0.19824219, -0.16894531,  0.07617188,  0.0703125 ,\n",
       "          0.06640625,  0.05078125,  0.03613281,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
       "        [ 0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.02050781,  0.046875  ,\n",
       "          0.02734375, -0.04785156, -0.01171875, -0.20800781,\n",
       "         -0.19824219, -0.10449219,  0.12890625,  0.13964844,\n",
       "          0.08984375, -0.07226562,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
       "        [ 0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.03125   ,\n",
       "          0.08007812,  0.09082031,  0.08007812, -0.07421875,\n",
       "         -0.18359375, -0.00292969,  0.02246094,  0.02441406,\n",
       "          0.06445312,  0.09179688,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
       "        [ 0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01953125,  0.0234375 ,  0.015625  , -0.10351562,\n",
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       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
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       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
       "        [ 0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
       "          0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
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       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
       "        [ 0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
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       "          0.01757812,  0.01757812,  0.01855469,  0.04785156,\n",
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       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
       "        [ 0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
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       "          0.01757812,  0.01757812,  0.01757812,  0.0234375 ,\n",
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       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
       "        [ 0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
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       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
       "        [ 0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
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       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
       "        [ 0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
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       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
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       "          0.01757812,  0.0078125 , -0.07226562, -0.1953125 ,\n",
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       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
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       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
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       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
       "        [ 0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
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       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
       "        [ 0.01757812,  0.01757812,  0.01757812,  0.01757812,\n",
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       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
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       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
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       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
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       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
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       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
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       "          0.01757812,  0.01757812,  0.01757812,  0.01757812],\n",
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       "         -0.0234375 , -0.0234375 , -0.0234375 , -0.0234375 ],\n",
       "        [-0.0234375 , -0.0234375 , -0.0234375 , -0.0234375 ,\n",
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       "         -0.0234375 , -0.0234375 , -0.0234375 , -0.0234375 ]],\n",
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       "       [[-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
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       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
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       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
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       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
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       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.015625  ,\n",
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       "         -0.12597656, -0.140625  , -0.1015625 , -0.0390625 ,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.02441406,\n",
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       "         -0.11132812, -0.11523438, -0.11523438, -0.02832031,\n",
       "          0.06347656,  0.11132812,  0.04492188,  0.02441406,\n",
       "          0.19433594,  0.27441406,  0.22167969,  0.07128906,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.03027344, -0.07617188,\n",
       "         -0.08886719, -0.04101562,  0.05371094,  0.11328125,\n",
       "          0.19238281,  0.25683594,  0.25683594,  0.25683594,\n",
       "          0.2578125 ,  0.28515625,  0.25488281,  0.27929688,\n",
       "          0.34179688,  0.30566406,  0.1796875 ,  0.03515625,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844,  0.01855469,  0.140625  ,\n",
       "          0.25097656,  0.25683594,  0.25683594,  0.25683594,\n",
       "          0.25683594,  0.27441406,  0.2890625 ,  0.27246094,\n",
       "          0.25976562,  0.20898438,  0.12304688,  0.11425781,\n",
       "          0.09277344,  0.05957031,  0.015625  , -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.00097656,  0.1484375 ,\n",
       "          0.29296875,  0.32128906,  0.28417969,  0.25683594,\n",
       "          0.27246094,  0.29785156,  0.28222656,  0.31054688,\n",
       "          0.3125    ,  0.14355469, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844,  0.04882812,\n",
       "          0.16601562,  0.1875    ,  0.22070312,  0.27539062,\n",
       "          0.26953125,  0.13476562, -0.00683594,  0.01953125,\n",
       "          0.14160156,  0.10546875, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
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       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
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       "          0.21777344,  0.06445312, -0.02734375, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
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       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.00683594,  0.1328125 ,\n",
       "          0.25292969,  0.12109375, -0.0546875 , -0.07910156,\n",
       "         -0.03613281, -0.015625  , -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844,  0.01269531,\n",
       "          0.17871094,  0.26074219,  0.16308594,  0.06835938,\n",
       "         -0.01660156, -0.04589844, -0.01953125, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
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       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "          0.04980469,  0.22460938,  0.30761719,  0.26953125,\n",
       "          0.14941406,  0.00195312, -0.03320312, -0.02050781,\n",
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       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
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       "         -0.01464844,  0.02050781,  0.16308594,  0.29882812,\n",
       "          0.28710938,  0.17382812,  0.015625  , -0.02929688,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
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       "         -0.01464844, -0.01464844, -0.00195312,  0.07128906,\n",
       "          0.1796875 ,  0.25683594,  0.20507812,  0.06347656,\n",
       "         -0.02734375, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
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       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
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       "         -0.01464844, -0.02929688, -0.06445312, -0.09667969,\n",
       "          0.06933594,  0.25390625,  0.26855469,  0.19042969,\n",
       "          0.03417969, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
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       "          0.20214844,  0.2578125 ,  0.2421875 ,  0.11328125,\n",
       "         -0.01367188, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.02246094, -0.05566406, -0.07519531,\n",
       "          0.01171875,  0.15527344,  0.23828125,  0.25683594,\n",
       "          0.2734375 ,  0.31835938,  0.31152344,  0.12695312,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.02246094,\n",
       "         -0.04101562, -0.07617188, -0.02539062,  0.12304688,\n",
       "          0.23144531,  0.25683594,  0.27441406,  0.3203125 ,\n",
       "          0.32617188,  0.20214844,  0.04589844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.02050781, -0.07324219, -0.09863281,\n",
       "         -0.06640625,  0.078125  ,  0.22558594,  0.25683594,\n",
       "          0.27539062,  0.32226562,  0.32226562,  0.20214844,\n",
       "          0.04882812, -0.01367188, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.03222656,\n",
       "         -0.08007812, -0.10546875,  0.01269531,  0.16503906,\n",
       "          0.23046875,  0.25683594,  0.25976562,  0.296875  ,\n",
       "          0.30859375,  0.19726562,  0.05371094, -0.0078125 ,\n",
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       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01367188,\n",
       "          0.05957031,  0.171875  ,  0.23535156,  0.26953125,\n",
       "          0.30175781,  0.31738281,  0.34667969,  0.27734375,\n",
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       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844,  0.09375   ,\n",
       "          0.29296875,  0.38476562,  0.38476562,  0.3515625 ,\n",
       "          0.2578125 ,  0.1953125 ,  0.10058594, -0.00292969,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844],\n",
       "        [-0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844,\n",
       "         -0.01464844, -0.01464844, -0.01464844, -0.01464844]],\n",
       "\n",
       "       [[-0.03222656, -0.03222656, -0.03222656, -0.03222656,\n",
       "         -0.03222656, -0.03222656, -0.03222656, -0.03222656,\n",
       "         -0.03222656, -0.03222656, -0.03222656, -0.03222656,\n",
       "         -0.03222656, -0.03222656, -0.03222656, -0.03222656,\n",
       "         -0.03222656, -0.03222656, -0.03222656, -0.03222656,\n",
       "         -0.03222656, -0.03222656, -0.03222656, -0.03222656,\n",
       "         -0.03222656, -0.03222656, -0.03222656, -0.03222656],\n",
       "        [-0.03222656, -0.03222656, -0.03222656, -0.03222656,\n",
       "         -0.03222656, -0.03222656, -0.03222656, -0.03222656,\n",
       "         -0.03222656, -0.03222656, -0.03222656, -0.03222656,\n",
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       "         -0.03222656, -0.03222656, -0.03222656, -0.03222656,\n",
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       "         -0.03222656, -0.03222656, -0.03222656, -0.03222656]]])"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tf2rtl_output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.44047569e-02,\n",
       "          1.59160160e-02,  1.64066926e-02,  1.64066926e-02,\n",
       "          2.65811812e-02,  3.10561303e-02,  3.50573696e-02,\n",
       "          2.22960971e-02,  3.06112040e-02,  4.35753800e-02,\n",
       "          4.57330570e-02,  3.41663733e-02,  1.82765201e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.69483796e-02,  1.84949804e-02,\n",
       "          2.41553299e-02,  3.17051038e-02,  3.84467579e-02,\n",
       "          6.34872764e-02,  6.79011047e-02,  6.79011047e-02,\n",
       "          1.85679376e-01,  2.08815858e-01,  2.49841586e-01,\n",
       "          8.58590007e-02,  2.27557316e-01,  3.42083812e-01,\n",
       "          3.38651180e-01,  1.93001702e-01,  3.05985287e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.87383369e-02,  7.08627552e-02,  8.83991569e-02,\n",
       "          1.52820632e-01,  2.24821553e-01,  2.49065220e-01,\n",
       "          3.41392010e-01,  3.50791812e-01,  3.50791812e-01,\n",
       "          3.50791812e-01,  3.50603402e-01,  3.05117965e-01,\n",
       "          2.37943619e-01,  3.19915205e-01,  3.14643145e-01,\n",
       "          2.59690017e-01,  1.07276320e-01,  2.13701800e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          6.92543238e-02,  3.00440252e-01,  3.47980827e-01,\n",
       "          3.50791812e-01,  3.50791812e-01,  3.50791812e-01,\n",
       "          3.50791812e-01,  3.45610380e-01,  3.42303872e-01,\n",
       "          3.47904027e-01,  3.47283959e-01,  1.51851773e-01,\n",
       "          1.14078701e-01,  1.12832934e-01,  8.44789147e-02,\n",
       "          6.29952177e-02,  1.85389109e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          3.37518454e-02,  2.62525469e-01,  3.32143962e-01,\n",
       "          3.33864361e-01,  3.46015900e-01,  3.50791812e-01,\n",
       "          3.46269816e-01,  2.66443610e-01,  2.35383824e-01,\n",
       "          3.08147997e-01,  3.20829779e-01,  4.64531705e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.01365298e-01,  1.94625273e-01,\n",
       "          1.49029136e-01,  3.16687256e-01,  3.47553343e-01,\n",
       "          2.83089995e-01,  5.22785261e-02,  1.53678907e-02,\n",
       "          6.10153340e-02,  1.86935022e-01,  3.15627493e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  2.93896869e-02,\n",
       "          1.67981833e-02,  1.95273429e-01,  3.35850865e-01,\n",
       "          1.67098761e-01,  3.07183433e-02,  1.41875558e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.66743428e-01,  3.24029893e-01,\n",
       "          2.80027002e-01,  5.26914969e-02,  1.66384540e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  2.61180680e-02,  2.25867689e-01,\n",
       "          3.35395366e-01,  1.48192719e-01,  4.44831401e-02,\n",
       "          2.95304973e-02,  1.77492071e-02,  1.41548440e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  5.22910170e-02,\n",
       "          2.88536787e-01,  3.12046587e-01,  2.45775387e-01,\n",
       "          1.82131276e-01,  4.69306000e-02,  2.04832852e-02,\n",
       "          1.49399256e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.02455840e-01,  2.89264321e-01,  3.36203575e-01,\n",
       "          3.48600119e-01,  2.04659536e-01,  7.72697628e-02,\n",
       "          2.44037826e-02,  1.50053483e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  6.31964132e-02,  2.23566100e-01,\n",
       "          3.20378035e-01,  3.45463723e-01,  2.38433555e-01,\n",
       "          8.64473283e-02,  2.32969951e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  3.15707661e-02,\n",
       "          1.17354318e-01,  3.22928280e-01,  3.50547701e-01,\n",
       "          2.78439373e-01,  4.94745709e-02,  1.62156820e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.84557103e-02,  2.78739426e-02,\n",
       "          3.56147625e-02,  3.15487385e-01,  3.50338817e-01,\n",
       "          3.42096090e-01,  1.19075850e-01,  2.14356035e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.77962538e-02,\n",
       "          2.93407105e-02,  9.07019675e-02,  1.92427486e-01,\n",
       "          2.60524243e-01,  3.42864275e-01,  3.50509197e-01,\n",
       "          2.93840080e-01,  4.56996523e-02,  1.43486336e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.63831301e-02,  2.56469529e-02,  8.12023282e-02,\n",
       "          2.11002752e-01,  3.12727541e-01,  3.48073810e-01,\n",
       "          3.50791812e-01,  3.45892996e-01,  3.29332739e-01,\n",
       "          2.43464530e-01,  3.47337723e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.62889212e-02,  2.10922472e-02,\n",
       "          6.25204146e-02,  1.71963960e-01,  3.00152719e-01,\n",
       "          3.47167790e-01,  3.50791812e-01,  3.45610380e-01,\n",
       "          3.32788825e-01,  2.64811069e-01,  1.22013047e-01,\n",
       "          2.29556914e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.58178806e-02,\n",
       "          3.08205541e-02,  6.54298514e-02,  1.19701058e-01,\n",
       "          2.85992354e-01,  3.46261799e-01,  3.50791812e-01,\n",
       "          3.45327735e-01,  3.32596511e-01,  2.62166232e-01,\n",
       "          1.25173882e-01,  2.54765227e-02,  1.43486336e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.93035863e-02,  3.21250930e-02,  6.06693216e-02,\n",
       "          2.33870447e-01,  3.04426938e-01,  3.46941292e-01,\n",
       "          3.50791812e-01,  3.49943936e-01,  3.39192420e-01,\n",
       "          2.60816753e-01,  1.23809025e-01,  3.29970494e-02,\n",
       "          1.51413893e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          8.69141370e-02,  2.36207217e-01,  3.12173963e-01,\n",
       "          3.47734064e-01,  3.46929282e-01,  3.38334054e-01,\n",
       "          3.35532635e-01,  3.14691484e-01,  1.87320471e-01,\n",
       "          4.11804169e-02,  1.53678907e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.62435517e-01,  3.05430740e-01,  3.18681061e-01,\n",
       "          3.18681061e-01,  2.73968965e-01,  1.85354143e-01,\n",
       "          1.73362195e-01,  4.65198644e-02,  1.59341451e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
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       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02],\n",
       "        [ 1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
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       "          1.41221322e-02,  1.41221322e-02,  1.41221322e-02,\n",
       "          1.41221322e-02]],\n",
       "\n",
       "       [[ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
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       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
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       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
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       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
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       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
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       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
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       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
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       "         -2.45166868e-01, -5.23761883e-02, -2.58916676e-01,\n",
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       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
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       "         -2.80327648e-01, -4.00062859e-01, -4.00062859e-01,\n",
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       "         -3.93491805e-01, -4.14584428e-01, -6.34213567e-01,\n",
       "         -6.26498759e-01, -4.41319883e-01, -1.15004897e-01,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
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       "         -4.68952686e-01, -5.33153594e-01, -5.60254872e-01,\n",
       "         -6.34669960e-01, -6.53272212e-01, -6.53272212e-01,\n",
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       "         -3.00458938e-01, -1.49808332e-01, -1.11514255e-02,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "         -4.06949371e-02, -2.61344701e-01, -6.02239370e-01,\n",
       "         -6.53272212e-01, -6.53272212e-01, -6.53272212e-01,\n",
       "         -6.53272212e-01, -6.46939158e-01, -5.67981958e-01,\n",
       "         -5.53033054e-01, -6.41771197e-01, -4.70328689e-01,\n",
       "         -8.76267776e-02, -8.51614177e-02, -6.29739761e-02,\n",
       "         -4.26395945e-02, -5.54833282e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "         -1.21680424e-02, -1.96939975e-01, -3.91921431e-01,\n",
       "         -5.00458181e-01, -4.48567301e-01, -6.53272212e-01,\n",
       "         -6.47745192e-01, -5.11171520e-01, -2.11919039e-01,\n",
       "         -2.53330022e-01, -3.35848987e-01, -2.66743004e-01,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03, -6.50765449e-02, -1.49474099e-01,\n",
       "         -1.42825037e-01, -2.55824298e-01, -5.14465451e-01,\n",
       "         -5.93541861e-01, -1.78327844e-01,  7.27131031e-04,\n",
       "         -3.35021168e-02, -1.37862742e-01, -3.13225575e-02,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
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       "         -7.98603287e-04, -1.44454956e-01, -4.71245915e-01,\n",
       "         -5.06919801e-01, -2.83605784e-01,  3.88314016e-04,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03, -1.16691582e-01, -2.81162411e-01,\n",
       "         -5.11178792e-01, -4.03886437e-01, -9.54019725e-02,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
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       "         -3.32115322e-01, -4.77057606e-01, -3.46389621e-01,\n",
       "         -2.33577564e-01, -1.48348242e-01,  1.79040281e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
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       "         -2.19639212e-01, -3.84032458e-01, -5.49406826e-01,\n",
       "         -5.08691072e-01, -3.90297145e-01, -1.66758865e-01,\n",
       "         -3.18597257e-02,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
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       "         -6.59299120e-02, -2.24950269e-01, -3.51009339e-01,\n",
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       "         -2.15832889e-01, -3.46639045e-02,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03, -3.52088436e-02, -1.67460948e-01,\n",
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       "         -4.29727763e-01, -2.65049428e-01,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03, -1.04613164e-02,\n",
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       "         -5.96489668e-01, -3.95208120e-01, -8.65411907e-02,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03, -2.10426259e-03, -7.62726814e-02,\n",
       "         -2.00150922e-01, -4.95009273e-01, -6.52375758e-01,\n",
       "         -6.44562066e-01, -3.97692174e-01, -1.39556024e-02,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
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       "         -6.85307011e-02, -2.69939959e-01, -4.68264878e-01,\n",
       "         -5.65969586e-01, -6.37583554e-01, -6.52926803e-01,\n",
       "         -6.01635814e-01, -3.00087988e-01,  2.74424418e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
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       "         -4.70839828e-01, -6.09258473e-01, -6.47893250e-01,\n",
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       "         -3.17513436e-01, -3.75980213e-02,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
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       "         -6.46100223e-01, -6.53272212e-01, -6.46939158e-01,\n",
       "         -5.56352139e-01, -3.38836253e-01, -1.11222863e-01,\n",
       "         -1.42891575e-02,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03],\n",
       "        [ 3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03,  3.19249160e-03,  1.11984857e-03,\n",
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       "          3.19249160e-03,  3.19249160e-03,  3.19249160e-03,\n",
       "          3.19249160e-03]],\n",
       "\n",
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       "          1.72071289e-02],\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.96751412e-02,\n",
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       "         -2.22971126e-01, -1.94875017e-01,  1.45194326e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  2.33771596e-02,\n",
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       "         -1.63890738e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "         -1.77753314e-01, -1.90767702e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  2.51400247e-02,  6.85596913e-02,\n",
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       "         -2.83428133e-01, -2.20995322e-01,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "         -1.98410958e-01, -1.29310489e-01,  4.55645099e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "         -1.96681395e-01, -1.26609236e-01,  1.81772877e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "          6.57409653e-02,  1.05491564e-01,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "         -9.80798528e-02,  6.61059245e-02,  1.25770718e-01,\n",
       "          5.50433174e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.35336556e-02,\n",
       "         -4.18801308e-02, -2.53230244e-01, -3.05936575e-01,\n",
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       "         -1.95256814e-01, -9.38442349e-02,  6.54923469e-02,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
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       "         -6.66862540e-03,  1.11118190e-01,  5.76000512e-02,\n",
       "          2.15728432e-02,  1.72071289e-02,  1.72071289e-02,\n",
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       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
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       "         -8.52236524e-04, -1.60188273e-01, -2.51144737e-01,\n",
       "         -2.20190719e-01, -1.98726207e-01, -1.27914146e-01,\n",
       "         -2.38256101e-02,  2.29285192e-03,  1.37511015e-01,\n",
       "          8.36618319e-02,  2.25430019e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          4.11821045e-02,  1.27778426e-01,  1.84532702e-01,\n",
       "          1.84532702e-01,  1.77304953e-01,  1.43842623e-01,\n",
       "          1.05962671e-01,  8.40581879e-02,  2.49683969e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02],\n",
       "        [ 1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02,  1.72071289e-02,  1.72071289e-02,\n",
       "          1.72071289e-02]],\n",
       "\n",
       "       [[-2.35096868e-02, -2.35096868e-02, -2.35096868e-02,\n",
       "         -2.35096868e-02, -2.35096868e-02, -2.35096868e-02,\n",
       "         -2.35096868e-02, -2.35096868e-02, -2.35096868e-02,\n",
       "         -2.35096868e-02, -2.35096868e-02, -2.35096868e-02,\n",
       "         -2.35096868e-02, -2.35096868e-02, -2.35096868e-02,\n",
       "         -2.35096868e-02, -2.35096868e-02, -2.35096868e-02,\n",
       "         -2.35096868e-02, -2.35096868e-02, -2.35096868e-02,\n",
       "         -2.35096868e-02, -2.35096868e-02, -2.35096868e-02,\n",
       "         -2.35096868e-02, -2.35096868e-02, -2.35096868e-02,\n",
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       "         -3.26187313e-02]]], dtype=float32)"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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