NNW/Übung 3/training.ipynb

{
 "cells": [
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-10-19T10:02:17.217089339Z",
     "start_time": "2026-10-19T10:02:17.163596289Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import numpy as np\n",
    "from nnwplot import plotTwoFeatures\n",
    "from SLN import SLN"
   ],
   "id": "de83e0a3826971b5",
   "outputs": [],
   "execution_count": 1
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-10-19T10:02:17.281932342Z",
     "start_time": "2026-10-19T10:02:17.221916014Z"
    }
   },
   "cell_type": "code",
   "source": [
    "flower_data = np.loadtxt('data/iris.csv', delimiter=',')\n",
    "inverse = flower_data.T\n",
    "X = inverse[:-1]\n",
    "T = inverse[-1]\n",
    "two_features = X[:2]\n",
    "one_input = two_features[:, 0][np.newaxis].T\n"
   ],
   "id": "d04fd0aaafa7b2e3",
   "outputs": [],
   "execution_count": 2
  },
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2026-10-19T10:02:17.341008859Z",
     "start_time": "2026-10-19T10:02:17.287185867Z"
    }
   },
   "source": [
    "sln = SLN(2, 1)\n",
    "sln._W = [[-0.3], [1]]\n",
    "sln._b = [1.7]"
   ],
   "outputs": [],
   "execution_count": 3
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-10-19T10:02:17.403287025Z",
     "start_time": "2026-10-19T10:02:17.343261661Z"
    }
   },
   "cell_type": "code",
   "source": "sln.neuron(one_input)",
   "id": "5cb7b328ef2abe20",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ True])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 4
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-10-19T10:02:17.696375579Z",
     "start_time": "2026-10-19T10:02:17.412685314Z"
    }
   },
   "cell_type": "code",
   "source": "plotTwoFeatures(one_input, T[0], sln.neuron)",
   "id": "19d68b97fca5a7e7",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 5
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-10-19T10:02:24.353354723Z",
     "start_time": "2026-10-19T10:02:17.697932638Z"
    }
   },
   "cell_type": "code",
   "source": [
    "train_sln = SLN(2, 1)\n",
    "#np.array([T[0]])\n",
    "train_sln.delta_train(two_features, T, 0.1, 100, 0.0001)"
   ],
   "id": "e97b83cdad840616",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#0 err:0.6666666666666666\n",
      "[[ 0.28677805]\n",
      " [-0.07982693]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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HPBTg8+QbOiMkIYS4pEgyIoSq8kXS9UDLJ2F0oNSawfGocZ0WlhBCXCokGREC2Jh0LRsSrwa8icf5/05be/Gffr8NXoBCCNGDSQVWIRqsTb6ZLfGXM7fkNXrXH0TRNaosSaxOuZmi8OxghyeEED2WJCOiS0q25TK99B1CNBslIVl8lnwzmKwdvl+7OZpPMr7W4ftpSayzhDTbCRR0SkJ7S/8ZIQLQdZ2iqlxKa4swKWay4gcSExZ/Udt0uh0cP7Mfu6ueyJBo+iUOxaTKx2VHkntXdCmJtpPcmfsbQnSbb4VLn/oDTKxYysnwobzW56dBja+jJNoLmF/yIn3r9je5PD8sm1Wpd3AqrH+QIhOi6zp6eg+f7n+N4uo832UKCkPTxnPFiDuJDUto1fbcHhcrD73NppzlOD0O3+UR1ihmDryK6f0XoyhG1t6J1pI5I6LLSLDl85WcnzRJRM7Vp/4A9x/9YafH1dGS7bncnftLetcdvOC6DNtR7sj9NZl1h4IQmRBd197Czbyw8Y8UVzftHq+jc7B4O099/nMq688Y3p5Hc/Pi5r+w7thHTRIRgDpnDZ/uf5X39/wXXZdaQx1BkhHRZdyR550g2lwi0nhZoquIMeXLOy2mDqfrXFPwJGbN2WzxNRUdVfdwXeE/UXRPEAIUouuxOet4c8fT6L4p5k1puka9s4Z3dz1veJubclZwrHRfwzabtyV3FUdO725LyCIASUZElxDjLCbMUxuw+JgOzDz9dmeE1Cl61R8i0Vnktwqsik6ku4qBNTs6MTIhuq4d+Wtxa26/YzRd42jpXspqiwNuT9M1NpxYRqAKy6qisuH40taEKgySZER0CZPPfGSoCqoChGm1HR1Op+lbtxePgZehBxN96/Z0QkRCdH1HTu/BaGuGY2f2BxxTWX+GivrSgOM0XePYmf1yqqYDSDIiugSrZg92CEFh1pw0f2LqfDpmzdXR4QjRLbg8TkPjFBTcnsCvG3crXlu6rqHprelnJYyQZER0CXnhQwyN0wGtBz1tK60phhr1KQ1jhRCQGJmKqgR+H9DRSYhIDjguOjQOVTEZ2nd0aBwm1dhYYVzPeVcX3dru+HloKIb6wxhNXLqDAzFT8Rh4E1TQ2RM7sxMiEqLrm5A1x9DRiQhrNAOTRwUcF2oJZ0TG5IAJjoLCxD7zDMcpjJNkRHQZu2NnAf77w+jA++nf6qyQOpzdFMGmhKv8JmE6Cjvi5lJjaV3NBCF6qsy4/mQnj0IJkDxcNvQmw0cxZg+8GlUxobRw2lRRVCJCoiUZ6SCSjIguY2n6/ZyIGAE0TUjO/fnVXj/GZo3p1Lg62rqk69kWdxlAk8msjT/vi5nGytS7ghKbEF2RoijcOuFB+icOA2hyRKMxQVk49BYm9J5jeJsp0ZncM+VHWM0hnDuPqzE5iQqJ4SvTfkpkSHQ73AJxPiUtPbPLTwuOjIzkyOGD/GXPGzgDLOcS3V9W7T4Wn/o3Ma5SFHQ8mDgeOZr3M76BxxQW7PA6TLL9JGMqVpJZfwQFnaLQ/uyMny/VV4Voga7rnDhzgM25qzhdU4CqmBiQNJxJfeeTENG2OVY2Vx0789axu3AjNlcd0aFxjO01gxEZk7F0QkuKnsaqmnlo5E1kDxpCbW3LKyElGRFdk66R4DyFRXNSbYmn3nzxR0NCPHXEOk+jKSbKrWl4VEuz41TdTbzjFCbdTZU1Cbsp8qL3LYQQlyKjyYj0phFdiqJ7GF++jAllS4lxlwHe0zTHI0axIek6CsMHtnqbcY5ipp15l6FVGzHhrWJqUyPYGTePjYlX4TSFA2DR7Ew+8xFjK1YS7qkBvCt3DkZPYn3StZSFZLbPjRRCCNGEJCOiy1B1N1/K/xv9a3c1uVzBWxysX91e3st8gMPREw1vM9WWw20nf4tZc2I6ZwltmFbH5LKPGFiznZf7/gINldtP/o5ke16TpbYqGoOrNzOwZjtLev8fheHZF3szhRBCnEcmsIouY8qZD+hfuxuFC8uAmdBQ0Lim4AmiXGWGtqfqbm7M/xOW8xIR3/V4TwUtKvo384tfuiAROXffZt3FjXl/xqw5LrheCCHExZFkRHQJqu5mfPkyv5VGvEmKzpiKzwxtc1D1ViLdVQH6vmgMqtnK8KovAvaHCdXqGFq10dC+hRBCGCfJiOgS0uuPEe4J3HOm8bSJEdk1W9EMlFpX0Js9cnI+HYVBNVsN7VsIIYRxkoyILiFUqzc8NsRjbGyIx4ZqoJmWjmIgFWk4OmJw30IIIYyTZER0CbXmOEPjdKDWYmxsrSXOUEdcBd3QC0FDpdrgvoUQQhgnyYjoEopD+1BmTTXUFLyxbHwg+2KmGTr94las2JXQgONUNPbFSH8YIYRob5KMiK5BUVifeJ3fGR4aKvWmaPbFTDe0ybzwoRSF9vN7dEQHtsYvZHPilX4TIQ2V0yGZnIgcaWjfQgghjJNkRHQZ+2OnszbpBqBpjxYd0FCwmSJ5rff/+YqUBaQovJn1A8qtab5tNNIatn8gegprk29kQ+I17I6Z1ey+daDSmswbWT9CN9C2XAghROtI0TPRpaxPuo7ciGGMK1/OgNqdmDUnNZZ4dsXNZVfsXGzmqFZtr94cwwv9fsPwqi8YV76CBEcRmqKSHz6Y7fGXcSxyDCjeJOXT9Ps5HDOJcWXL6F1/EFX3UG5NZWf8fPbGzMDZg/viCCFEMEky0pPoOmbdhaaoaErXfWhNmgugxd4wheHZ7Vrp1K2GsCtuHrviArT+VhRORI7iROSodtu3EF2Vpmu4PU4sphAUJfASeCE6Utf9xBKGhblrGFOxkrEVK4lyVwJQGNqfbQkLORg9pUucWjBrTkZWrmF8+XISnKcAKLOmsj1+IbtjZ+FWQ4IcoRCXhpwzB1l/YhkHi7ej6xoWk5WxvWYytd9CkqLSgx2euERJMtLNxTpLuD33N0S6K5tUL02zn+CawqcYXL2F9zIfCOqRkhBPHbeefJRUe26Ty+OdxSwo/h8jKz/ntd4/wW6KCE6AQlwi1h79kKUHlqAqKrruXWnm8jjZevIztuWt4Y6J32NQyujgBikuScH/yizaTNE93HzyD0S4q1DRm6xEaSz2lV2znZmn3wxOgA2uKnyKFHveBT1nGn9PtudxVcGTwQlOiEvEwVPbWXpgCeA9RXMuTdfwaG5e3vI3yutOByM8cYmTZKQbG1C7k3hXid9aGgo648qXY/XYOjGys+IdRQys3RWwP8yAut0kOAo7MTIhLi2fH/0QJUB7BE3X2Jy7spMiEuIsSUa6sWGV631LVP2x6k4G1O7shIguNKxqg6EYNVSGVW3ohIiEuPRU2srIqziKHqCsoK5r7Mhb20lRCXGWJCPdWKCOtI00FMLd1Z0Q0YXCPTXnnUBqnh7EGIXo6eocxl9b9c7ADSuFaG+SjHRj9aZIQ11pVfSgTQ61q+FgqMi7jk0msArRIcIsxl9bIRappyM6nyQj3dihmMmGutK6FTPHosZ0QkQXOhgzyVB/GBMah6IndUJEQlx64sKTSIvOCjhnRFVURmVM7aSohDhLkpFu7HDUBGrMsX7nZGgo7ImZhd0U2YmRnXU6tA95YYP89ofRUCkIy6YkrG8nRibEpUNRFGYMuDLwnBFgct8FnROUEOeQZKQb86gW3sj6EQ419IKExNtTRaEwLJtVqbcHJ8AG72U+QLUlsdmkSUOlypLAu5kPBiEyIS4dozKnMq3f5QAo570WVUVFQeHGMV8nJTozGOGJS5wUPevmTof25j/9HmVS2SeMrFyDVXcCUGVJZFv8InbEzW+x7HpnqbPE8UK/3zChbCljK1YQ7vFOkKs3RbIzbj5bEi4P2pEbIS4ViqKwePjtZCUM5Itjn5Bfccx7OQqDU8cxc8AVZMUPDHKU4lKlpKVnGpldGFSRkZEcOXyQv+x5A6fmDnY4XZZJcxLprkRTTNSY46ALlIE/n6q7iXRVAFBrievSPXSE6MlqHdU43DYirFGEWgx2whailayqmYdG3kT2oCHU1ra8UqtTPglMJlOT33VdR9MCT2oUreNRrVRZk4MdRvM0jYnlnzKh7BMiPVUA1Jli2JqwiM3xV4B6NnHqU7OXOaeXkOTIQ0HHpVg5FD2Jz1JuxW6O9o0L8dQxonIdIys/J8JdhcMUzsHoyeyMm0utJb5Db06Eu5LRFasZWrWBUE8d9eZo9sbMYG/szFZ3FhYiGCJDookMiQ48UIhO0KojI6mpqTz4wLe57LIFxMXFk5OTwzPPPsubb77V4t985zsP8uMf/RC3++wRjerqaoaPMN4ZVY6MdG9mzc5Xj/2QGHc5OmdLwjf+XG2O45kBf8athnJVwZMMq/YWPzt3HHjnl7za+ycURAwhxZbDLXmPEeapg3MqmWioaIrKe5kPcDRqfIfcnr61e/hS/l8x6W6Uhn03ztFxqmG8nvUjisLlcLcQQhg9MtKq4/i33XoLO3ftYtHlVzBs+Aiee+55/vqXPzNnzmy/f7d9xw6yevf1/WtNIiK6v3tO/IJodzlwYW8agCh3Bfee+DkzTr/B8OoNLfawUdG47eSjxNvzufXk7wn11PuSgUYqGibdzXX5/yTVdqLdb0uSPY8b8v+CSXc36QfkjU/Hqtm4Je8PRLvOtPu+hRCip2pVMvLXv/2dN998izNnzmC323n9jTcoLi5mzOjRHRSe6O5SbCdIdBb6rW6gAAnOIiad+cjvwsPGhOSawqcJ0WwtVp/17ktnypkP2hp2iyaVfYSiay3Wd1HRsWgOxpUvb/d9CyFET9WmGY4mk4moqChuveVmYmJiWL58hd/xw4YO5fixoxzYv5dXX3mZYcOGtilY0f3MOt3yKbzzWfAYqCcLKY6TAcvgm9DIrtlGmLvG8P4DsWh2hlZtCljETUVjdMVnoHf5ueFCCNEltHoCa3Z2NitXLMNsNmOz2fnhj37Evv37WxxfUlzCg9/5LqtXryEmJpqHH/4x77z9FnPnLaCwsPkurVarFavV6vs9IkLKhHdX0e6ydt2ekWSlkYpOhLuy3SaURrirMeExNDZUs2HRHbiU0HbZtxBC9GStTkaOHDlCVu++hIeHc/VVV/HXv/yZ+rp6li5b1uz4Ja+/7vu5rq6O73//B2zatIHbbruVP/3pz83+zQPf/hYPPfT91oYmuiCXYg08qJXOnQQbiFsNabf9ulTjt0UH3Epw67sIIUR30eZCFPX19Sx5/XVWrfqM22+/zfDfud1uTpw4Qd8+fVoc8/gTT5I9aIjv35ixHbMqQnS8AzGTDSUOjStSAtHxNt/zV14evGXwyy0pVFqSDGzVmDpTDCUhWQGbE2qonIgYga6Y/I4TQgjhddFVsaxWK5p+9hy6oiioasubtVgsDOg/gOLi4hbHOJ1Oamtrff/q6uouNkwRJFvjLseNyW+ioQNuTJyy9jGUkGxIuCbgvA0Fna0Ji0BpzYmdABSFrQmLAjYnVNHYHr+o/fYrhBA9XKuSkX8//xxTpkwmJiaGlJQUvvH1rzF79iyWLDl7Kub73/su+/ft8f3+/HPPMm3aVGJiYujbtw+P//MfREVF8vIrr7TfrRBdl+qt+QHNH/lovOz9zG/zep8f41RC/I7bHzONLUlXsj7xGr/bPBI1np1x8y8u9mbsjZnBvuipDXVFmo9xS/zlHI+U5etCCGFUq+aMPPX003znOw8ydswYXC4XR44c4c677mHNmjW+MZqm4fGcneT35FNP8b3vfZexY8Zgs9nYuWsXi6+4ihMnctrtRoiu7Wj0BJb0epgrTj1DlLuiSTGzGlMcn6R/lZyokQA8NfDv3JT3Z9Ltx5ucDHErVjYnLGZd8o0ArE2+iQprKlNL3yPeVeIbV2eKZmvCIjYlXIneEeXwFZUPM75BSVgfJpZ9QpS70ndVlSWJjYlXsyt2TvsekRFCiB5OetOITpVky2VA7S4AjkWOpjSsT7PjQt21DK9aR6injpLQ3hyNntD8BnWdVHsOke5K7KYIisL6d1q/G0X3kG47TpinljpzDKdC+3bJfkBCCBEsXao3jeh4ifZ8RleuJtFRiEcxczJ86EX1STFrdmaXvM6gmq1YNAcOUwS7YmezMeFKUNv2tEmvP8LcktdIcBQB0L92N5+l3EpReHaTcRbNzqCaLfSuO4hFsxPlrqDeHENh2MCmRxx0jb51+xhe9QWRrgpspkgOR0/kcPSENickMc4SFhS/RJrtOKruocaSwLqk65tNhnTFROF5sXdXZ05GseXtARQfjUU1afQZU8q4a08QlWBv0/Y8modDxTvYU7SJOkc1kSExjMqYwqDUMajnJWyFlTlsO7mGM7WnsJisDEgewdheM6R5mxCXEDky0s2pupvFRc8xouoLPKiY0Hx9UjTFxNK0L7M3dlartjmkcgNXFz2Fiu5bRtv4f5di4eXeP6M4fIDxDWoat5/8Hb1sh4ALe87khw3ild4/A1WlT+1eri/4B1bNho6Ciu67XbnhQ3mn13dxmCKIcpVxU96fSHbk+67XGsbXmmN5o9cPKAnr26rbvajoeUZXrvb9fu7trjQn8u9+v8dp7lkfkJpH4cM/jmPzG9moJg3NowI6igqKorP4+zuYetuRVm2ztKaIFzb9kYr6UhRFRdcbHxmNhIgU7p78IxIjU3G6Hbyx/SkOFG9DVdRzJsIrWEwWbhz7DYanT2z32yyE6Dwd0ptGdD1XFD3LsKr1AL4VJo19Uky6myuLnmVQ9RbD2+tVd4Brip5EaUgVzu29AmDWXdyV+2sincaLmd2c/0eybIda7DmTZTvMLXl/IL3+GDfl/QmLZvfdhnNvV1b9IW7K+xMh7hpuy/0diY7CJtc3jg93V3Pbyd8R6yzBqNklrzGmIRE5N87G/8e4z3Dfif8zvL3u4uO/jGXzm96mft5EBEBB1xQ0j8pHfxrPtnf7Gd5etb2CZ9f/hiqb9/mhNyQYesNjVFFfynNf/IYaeyWvbfsnB4t3ePetn7s6SsflcfHa1n9y9PQehBA9nyQj3Viy/STDq9a3uNS08Zv9vJJXQPe/FLbRolP/8f1tS9tU8bCw+H+GthftLKVv3d6A4/rU72NeyUso6H76vmhk2o4yr+RV4lynWywJr6Jh0RzGe9NobiaWfeK3mJoCxLrPMLhqg7FtdgMVRRFsXJINur/Jtjqf/mMMbpext4oNx5dS76w9L7k4S9M1ah3VLN3/GodLdvmSlOb2qwOf7H8VXcrqC9HjSTLSjY2u+Cxg8S8FiHGdoXfdgYDbC3dXkeA8ZahIWf/anYZinFvyqqFxAJm2YwF7znhQGVK9iUAl0kxoDK/6AqvHFnC/E8uXYQpYysy7x+ln3g+4ve5i67v9UZRAH/QKtqoQDq7JCLg9j+Zhy8nPfEdDWqKjsadoE4qBe7ykOp/CSll5J0RPJ8lIN5boKAhY/Au81UgTnc33ATpXmu24oUREwfthrxqYv5PgPGVgi8aZ0LDoTkNxmnU30a7Ap5PSbMcNFVtTgCgD2+suSk9Eo/s9KuKlmjVOn4gJOK7eWYPdVW9o3x7N3XDsI7DS2sDPXSFE9ybJSDemKWaDH6I6GoFLk7tb0UdGx1v2PBAjYzqSZqAku2ZwdVDjxOCeQjXrBo6MeJsPm8yBk161g8rfq520VFsIETySjHRjeeFDDH04KkBexOCA4/LDs9F8U1dbpgMONQz8lP1vlBM5wvDRFiOJiweVOlOMobF1pmgqrMkBxx2INtY/B6A4tHUrdLqyvuNOGzoyontU+o47HXBcuDWSxIjUgOMUFMKtkSgGarIoKPSOHxhwnBCie5NkpBvbFTcnYDKioZIXPoiykMyA29NUKyfDhwYcpwC7YmcbinFt0pcCJjjeoywK+2KmBkwyTGhsTlgccG6JhsL2+AWGmtUdjxqLXQ0zdJRpVertBkZ1D6MX52AJ8eBv/o2iaiT3ryRr1JmA21MUhSn9FgYcp6Mzrf/lAeeWKIrKoJQxxIYnBtymEKJ7k2SkG6s3x7Ai9W6g+Y8TDRWXGsLStPsMb/O9zG/jUqwtfjzpQLU5jtXJtxjanqZaWZN8c4sxNl62NukGVqfcRo05zu+k3E0JV7AlYTEHoie1mIhpqJwO7c2WhMWGYgR4P+PbAWM8GD2Z0tDehrfZ1YVGurn+F5sb1jJfeMsVVcNk0bjhkU2Gq9tP6DOXvglDWpycqqAwIGk4MwdcycIhN7e4HVVRCbNEcNXIu4ztWAjRrUky0s3tjJ/PBxnfpNYcC3g/iBs/pIvC+vO/vr+iLCTwSohGdnM0z/T/M5WWZF8zuHP/FYX25+kBf21VFdbNiVexMuUOPA0Ff89tMufBxKqU29iYdC315hj+1/cRciJH+sY0Himxq+GsSrmN1cm3gqLyQca32JRwJa6GeS5aw4JgDZUDMVN4pfdPcamhhmM8ETWaN3s9hFMJvSBGHYUdsfN4v6HhX08y6vKT3PGXdcSmejtjK6rmm0eSll3J1/6zgsxh5Ya3Z1bN3DPlR0zoPdc3h6TxdIxJMTOxz3zumvQDTKqZWdlXc+2o+wi3Rp0zzvvc7ZMwmG/O/DVx4UntdVOFEF2YVGDtIRTdQ7/aPcQ7T6EpJvLCh1AamnVR20yyn2Ri2SeEeeqoNcfxReK11FoT2r5BTWNsxUr61O0DIDdiODvi5jc79yTGeZp+tXuw6A6qLYkcjRyDR71wgq3VU092zXbC3dU4TGEcixpLXUNi1lbZ1VsYWrUBk+6hJLQ3GxKvRmtm3z2JpsHxLamUHItBVXWyRp1pVRLSnHpnDQdP7aDeVUu4NZIhqeMIt0ZeMM6juTlcsovyutOYVDP9k4aTHJV+UfsWQnQN0pvmEqMrJo5HjeE4Y9ptm6Whvfk44xvttj0TbhzmCKoaJpU6TOGYcOPhvA96XSfKVU606wxW3QFAqFZPXTMJgdMUzr7YGe0WI8CR6Ikcib60ypCrKgycXMzAycXtts1waxTjegduRVBR5mHnOpWyehWzouLooxE/XcNs6joHbmsd1Szbv4SiqlwURaFPwmDmD7mRULPxo29CiJZJMiI6xdCqDVx26r+EafV4GpYZm/BwWfH/WJ52D/tjpgGQ4CjguoLHSXIU+MYpaMwpWcKOuHmsSr2j07ryio7l9mg8/+pa8iJeAIsHok2ATkGlm5Wv9OX6Yd9l7LjgT159Y/tT7CpY3+SyoqpcNpxYyqyBV7NwaMtzX4QQxsi7uuhwQ6vWc03hU745GCY8vutCtHquLnwKdJ3C8IHcmfMIIZr9gnGgM65iJWGeWj7I+BaGZ1SKLuupF5dRHPfyOTX4z66u0aLyeCvnYczmPzJyVHxQ4gNYsu0J9hRubPH6z49+gILCZUNv6sSohOh5us5xUNEjmTQnC0+90GLfl8b+OZcVv8Cc4lexavYWl+0q6Ayr3khWfeDS9qJr27unguL4l5t/UgCoHjA5eW+b8XYC7a2ivtRvItLo86Mf4HQ7OyEiIXouSUZEhxpSvZlQrd5vNRQFCNVsZNduD1je3oPK2PKV7Rqj6Hyrtq8HT4ADs6oHe+JGDh+q6pygzvPJvlcMjdPRWX3k3Q6ORoieTZIR0aHS7Cd8cz/80VBb7NZ7LhMaGbZj7RGaCKJyZS+YjK2MO3Ss/SbVtkZRVa7hsTllhzouECEuAZKMiG4ncMF60fX1sMdQ72G3R4hOJsmI6FDFoX1Qm0xEbZ6CZqD/sPc0TVFY/4sPTARVrDYs8GmaBgP7pnRwNM1LjTZepydL+ucIcVEkGREd6mD0ZJxqaMDeNC4llGORow31ptkRt6BdYxSdb+6Y6YFP02gmQsomMnRYbKfEdL7Fw4z2IVKYP/hLHRqLED2dJCOiQ7nVEFak3uVbNXO+xlU2K1PvYHXK7bhUa4sJiYbC4ajx5EYM68CIRWcYPSaBhLIboaWuwZoKmpmrRgWvMWFCZApDUscFHDet3yKsUvxMiIsiyYjocHtjZ/Fx2v24lBB0vP1oPJgajoiE8EnafeyOm0N5SDov9/k5VRZvoSvvONXXb2dvzExvQzupMdIjPHDH1aRV3gmayZt8eMy+UzdKfQpXp/8+6EXPbp/wXYamjm/x+sl9F3DFiDs6MSIheibpTSM6jUWzM7RqA6n2HACKQ/tyIGbqhQ3tdI2+dfvoX7sLi+btTbM3ZjrVVmma1hMVFdpY9vluKuwlmBQLgzOGMG9uH8zmrpN0Vtaf4dP9r1FcnYeiKGTFDWTRsFub7bUjhDhLetN0cVGuMvrU7cOsuaiyJpETMRxdCbwEtkW6Rlb9IRIcRXgUM/kRg6mwpjY7tG/NHoZWb8CkuykMG8D2uMuabVbX3lxqKMWhfX01R4pD+zbfWVdRyYkcSU7kyA6PqadzOVSObkinujSMkAgX2VNPERHnCHZYTaRnhHHvbZMNjd2/r4IDRwvRdI1+mamMG5+Eql6YtNQ6qjl6ejcOt53o0Diyk0dhNlnaHGNseCK3TjDWtbmy/gzHS/fj0lwkRCTTP2k4qnLh68vhtnOkZDd1zmrCLJEMShlFqCX8gnGaBjnbUjhzMgqTRaPf+BLiM+vafFvA28TwSMke7O56okJiyU4ZhcXUs5tBiq5NkpFOFuGuZOGp/zKwZjsqum/ORI05lnVJN7A7bk6rt5ldvZW5Ja8S5zrdpNJpTsRwlqXd60tK+tbs4prCJwnT6gHvfI1h1RuZV/IqGxOvZF1yx5W0zqg/yoLiF0iz5/rmjih4V9ssT72bwvDsDtv3pUjTYN0LQ/n8haHYa6w0zs5RzRpjrjjBlT/cQUhE9znKuGd3Oe9sfxFnwlbvyWUddp+CD14axPw+X2bWrEwA7K56Ptz7IrsLNqDpZ1dxhVkimDXwamYMuAKlg07zVdnKeX/3fzlcsrPhle0VHRrHZUNuYmzWTMDbpXjFwbfYmLMcl+dsYmhRrUzsM5eFQ2/xJU57lmWx9B+jqTwViW+GlaIzcMoprv3pVuLSW5eUOFw2Pt73Mjvy1zW5f0LN4cwYcAWzsq9uNnESoqPJaZpOFO6u4p6cnxPpqrig0mhjErEm+SY2Jl5jeJsjKj/nyqJnmy237kHFqYbxv36/Js5RzE35f4JmxjU+AbbHzWdF2r2tuEXG9Ko7yC15j6HqngsKm2ko6Kgs6f0weRFD233flyJdh/cfncCWtwbQXL11RdVIG1TBV/+9EmtY4GXXwbZrZxlvHHsYzA5vmfhzaQqgMDvqt8yalcwzX/yakpoCdL35heJT+l7GlSPuaveEpNpWwVNrf06towqthX0vHn4HU/st5JUtf+dg8Q6am9KtoNA/aTh3T/4B298dxHu/nQTNvLpVk0ZYtJNvvrzMcELidDt4bv1vKarMRW9hIf24rNlcP/orHZawiUuP0dM0kgJ3orklrxLVTCICZ99qZp9+g3hHkaHthblruLzo3y32fTGhYdVsLCr6N9cWPN5kP83te1zFSmKcpw3t2yhF17i68MlmExGgYWqqxtWFT6G08CYuWufYplS2vDWQlhq/6JrKqcNxrH2h6yd/mqbz9p4nm09EAFQdFJ01ZX9g+f53KaluOREB2JizvEOqpX687yW/iQjAJ/te5otjn3KweDstFX3T0TlWupd1+9bz/qMTGi698HHUPCq2aivv/77lybXnW3fsI4oqc1pMRAC2563h6Ok9hrcpRHuRZKSThLlrGFq1scUmcI00VMZWGOu9MqpyDQqa374vJjT61B8gRLcH7A8DMK/4ZUP7Nqp/7U6i3RV+S72r6ES5KxhQu6Nd932p2rgkG9Xk/3mmayqb3hiI29W13wI2bS7BE3u4+USkkaJDaBVbTq70+0ELoCoqG08sb9cYa+yV7Du11W8iAqAoKuuOfYTi95Xo9cXR5U1O9TRH86gcWZ9OeWFEwO15NDebclYG3KaqqGw4sSzg9oRob137nagHybAdxWSgEqmKRt9aY99MetftN1QaXcd48e0M21GDI43pXXfAUG8aDyZ610k33vZwfEsqmifwS7u+MpTSnOhOiKjt9h8/ZqxSq6biIfDEXE3XOF66rx0iOyu3/LDfozGNdF2jzlkdMCEAqDfnQmh54J3rCjnbkwMOO1NbTJ2zOuA4Tdc4cUZeh6LzSTLSSUy68bkuRseadZeB71jGKYDazqdKOuJ2C/80t/FnhaeLHxnx6G5aOt10cdtsx+111Dw2k9PAIN3QY9iaGM+d2CpEZ+na70Q9SHkLy2zPp6FSFpJhaOyZkHQ8Bh5CBWNv5zpQY4k3tG+jyq1pKAa6ziholFvT2nXfl6qErBrvqYsAVJNGfEbLE8q6gpSYVFBdBkYqBg//KSRGtO/zzOj2VEVFNbh8X/WEo9gTDIxUSOxdE3BUbHiiwVUyCvHhwekFJC5tkox0ktLQLIpC+wWY4eE9TbMzbp6hbe6KndvsZNhz6UC1OQ6NwO/VCrAu6XpD+zZqf8w0NANvwDoq+2Kmt+u+L1WTbjwWcIxq0hg2L5/wWCPfvoNnwdwB4DRQWEzR6B0zysAHrs7kvvPbJbZGGbF9SYnuFXAuiKZrDE+fiBLgbVdVVIbFLkR3BSgxr+jEZ9bQd1zgSefh1kiGp08ylJC09/0jhBGSjHSiNck3Ay0nBRoqBWEDOR452tD2SsL6cihqgt8ERwFWp9zKnthZft8qdaDSnMjR6Al+RrWezRzFpoSr/I7RgU2JV2EzR7Xrvi9VY686QUJmbYuTWBVVQzVrzLm/fedOdITISDND+ar/QbpCcsWtXDX2JhRFbTEpUBWVxMg0RmVOa9cYFUVh0dBb/M4FURSVvglDWDzsdsKtkSgtJAUKKiHmMBZNnsPgGQUoaktfNnTQFRZ9Z5fh7ghzsq/FpJr93j9x4Ym+eihCdCZJRjrRycjhvJf5IG7Fgn7O1NPGUy0F4dm8mfVD9FYUHfow45sciRrfZDvgrd+hobI09V4OxEzj0/Svcihq/AWTWRt/rjYn8O9+v2/7jfNjXdL1bEq4oiGuszE2xrsl/nLWJknX0/YSEuHmvmdXkdjbO2FRaUxKFO+jHxLh5t4nV5M6oCp4QbbCbTeMpV/tt7xN9bRzjrI1TGxNLL+Rb95+Oekxfbhn8o8uaFrX+MGfFJXBV6b+FKs5pN1jHJQympvHfeuCD/vGIxH9EoZw56TvEx0Wx/3Tf0Z0aJw3toaxjf+PCInmK9N+Slx4Arf8YT2DpnmX+Z9NLHUUVUc161z/i00Mn59vOMaU6EzunfIwIQ1VXn37bogxISKV+6f9rNkqsEJ0NCl6FgShnlpGVK5lQM1OLLqDCksqu+Nmkxc+pM1N4NJsxxld8RmJjgI8ipmTEcPYFTuHOktck3EpthPMK36FFMdJFF2jxpLAhsRr2B/b8adI4hzFjKlYSbrtOABFYf3ZFTeP8hCZK9IRNI/CkfVpbP+gH1Ul4YRGORkxP5+Ri04SEt79Xke5ObV8um4rp1370BUPcUo28ydMYdjwps9xh8vGroL17D+1DburntjwBMZlzWJg8sgOry5a56hhe94ajpzeg8vjIDEijQl95tI7PrtJITG35ubAqa3syt9AraOKiJAoRmVMZXj6xCZl63Ud8vcmsPWdAZzOicZs0RgwuZjx1x0nKsHephidbju7Czeyr2gLNmcdMWHxjO01g0GpY6T6qmh3RoueSTLSg0S6yolzlqApJk6HZjXf96U1dI0U+0lCtHrqzDGUWTNaTJaGVK4n03YEhxrBpsTFOE3SQEy0P7urnuLqfHRdIykqnciQmE7bd85hjX276lAVlbGTw0nLurhVPh6PxsZdBzhTXU5cZCzTxw7HZJJkQPQs0ijvEpJiy2FG6VsMqN3lO0DsVELYHTeHL5Kux24KXBSpCV1jfPlyJpZ9Qoy7zHfx6ZBebEi8hoMxU3yXLSx6ntGVa5oUNZta9j7V5gT+2+c32Kyd92Eheq5qewWrDr3NzvwvcGve1TWKojIsbQLzB99AclR6h+1721oXH2z5EHe/9yHU+2Vo/dYQQpbczK2XLyB7ROsSCI9H4/mPXuekZxmYGlYKVcOyfDOZyny+dvXtkpSIS44cGenmetft56a8P6Lq2gXVXTVUKqwpvNTnl8Ynh+oaVxX9i2FV64GmS4I1FFR0Pk+6gQ1J13Fr7m/pXX/wgnHgnYuiofL4gMexWWPbdNuEAG8X3KfX/Yq6Zsqtq4qKWbVy//SfkRHbt933veZTO8urvweWejCd997jMUN9ErcOfowR441/r3v09d9TG7rvwpYzDb+H2gfy0xt+IQmJ6BGkN80lwKLZ+VL+3xr6vlw4615FI85ZwmXF/zW8zVGVnzO8an2ztUkaj37MKn2LqaffaTERabxMRePLOT81vG8hmvPGjqebTUTAu1zWpTl5efNf8WjtW6zL6YDlpx8Ba92FiQh4LwsvZcnmfxne5pJly7yJCFz4wmn43R56lJc+/aBtQQvRTUky0o0Nq9qAVbMF6PuiMbh6K5GuisAb1HUmlH0asBaKB5WpZ7xvloH63UR5KolwGihrLUQziqvzyC075Lfvi65rVNnLOVyys133/dbL5RCb578vjsmNnrmRz5cGLkUPsK/6g8AFf3Q4av/EeKBC9ACSjHRjA2u2oxuoraqg0a92d8Bx0e4ykpyFfpMb8DbfM2OsFL0CTD/zroGRQlzoUPHOFmtynEtVVA4Wt2+jxWNl2wz2xTGxZU/gTsC1dXY0S2XgcsgK6JY6ikokiReXDklGurEQj/+jIo10FKxa4GWAVo/xpYKtWUcQ6qlrxWghznK6HYa63Oq6jtPdtqWuLfGo9YbK6qOruHVbwGGV1XWteuFU1dQbHyxENyfJSDdWZUk01JtGRafaErjPRa0lNuApmkat6QRcEtrb4EghmooOizfUEVdRFGLC2revUognxVtoLeDOPURaEgMOS06MNf6i0SE92UhvGiF6BklGurE9sTMD9qYBsKnhhkrM202RHIscEzDB0VCpMcX5HQNnE5ZN8VcGHCtEc0ZmTDLUXE7TtXYvYz57/LjmJ66eTzdxzdX9Aw6zWkyEOQYamjNicWQREx1mLFAhegBJRrqxkxHDGprv+X8YNyZejUe1+B1z7lgFf/1zFFyqlXcyHwQ/48B7RPpY5GgwGetUKsT5wq1RTO67AH/nNxRFZXDKGFKjs9p131PnWTEdv7JpCfrz6QrhR79M1gBjRxQvH3ZHw9+1tD3v/xYMuN14oEL0AJKMdGeKwptZP6A0JBOgySmWxqMbW+MXsjnB+JGJovCBvJ/5bTRMTZIcvWH7TjWU17Me5lRENh+lftV3XXP9bk5bM3gr64dtuWVC+CwadisjMyYDNJnM2tj9tnfcQG4e960O2fd3b78FpaChsV4zfXHMx67noW8bb6UwfvgAJkTd7/3l/ISk4feRYXcxfdzwNkYsRPckRc96AJPmYkj1JsZWrCDBUYSmmMmJGM6O+AUUhA9q0zZjnKcZW7GSoVUbfeXg98TOYnfsbOrNZ6uqxjpOcW3B46Q6Tvous6vhrE+8lq2JV1z0bRMCvBNUj5XuY1POcnLLjqCjkxadxeR+CxiaOh6T2nFH32z1Om+9XMohx3voSXtAVzAVT2Zk/JVcf0c0JlPry8IfOXGK97YtodKyCxQ36CaiXSO4esytDB2Y2f43Qoggkd40waJrhHlqAQWbKdJv47sQTz1m3YnNFImmdM3K/OHuKiJcFVRZknCaWy4rr+puwjy1uBQrTpOfrp+++4eG+6frHZzTdbDXWHC7TITHODCZL/4l4rSplOVHERblJDat5ZUXug71lSHoOoTHOlDb4e6x2zyUlzuJirIQFd3y80zTNeqdNaiKSpglskljtybjNJ3KCidOp058ghWrtes9hgClNaeotJWSFtWbyLCW2xK4nSr1VVZCwt2ERLT8/uL2aJSVOlFVhYREK6ra8mvb5qrD7XERbo3EpHbea1vXdWyuWjyaRkRIlN/Gdw63HYfbRpglAovJ2mkxtobL48TmqiPUHHZBN+ZzeTQP9c5aTKqJMEtEi89d0fk6tDdNWloq8fHx5OXlU1NTY+hvkpKSSE9PJy/vJBUVlW3ZbZcW4qljXPlyxpWvINLjbc1eZU5ge/wCdsQvONu0TtcYVrWB8eXLSLefAMCpWNkbO5MtCYuptKYE6yY0MaX0fSaWfUKYVuubQ1JlTmBt8o3sj53hGxfnKGZi+SeMqFyLRff22SgMG8DW+EUcjJ7sS8asnnrGVqxkXPlyot3eAmw15ji2xy1ge/wC/wlMJ/G4FLa935+Nr2Vz+kQsAKGRTiZcf4xptx8mOjnw8s3zndiWxId/mEDJsRga5z1YQt2MuSKHKx/eirnhFei0mdj0RjYbl2RTVexN+iITbEy+6ShTbj1MWJSr1fves7ucZds+oyLuI18PlNAz05ja+wrmzz+7wqnOUcOGE0vZnLuKeqf39RwfnsyUfguZ2Geu74PK7dZ578P97Kl6H3fcAe8fO6JIr7+eq+dMJ6t38B9DgFe2/J0Dp7ajnzO522oKYf7gG5g+YLHvsuJjMXzx0mB2f9oHj8t7ZKXP2BKm33GYIbMLfN8jys44eGfpVnJMb0F4KQBKTS8Gmb/E9VeOITLS+yBqusau/C/YcGIZRVW5vv2Oy5rF9AGLiQtP6rDb7PI42Zr7GRtyllNeVwJAuDWSiX3mMbXfIiJDon1jD5fs4ovjn3C8dD8AJsXE8IzJzOi/mPTYPh0WY2vkVxzni2Mfs+/UVt9qquzkUUzvv5gByWdPYVXbK9hwfClbcj/D7vYuhU6KTGdqv4WM7z27UxNBcXFadWRk0qRJPPKrXxAbG0tNbS39+vbj9Tfe4Gc/+zma1vyqDkVReOyxR7nxhhs4efIkvXv35plnn+MPf/ij4SC7+pGRCHcld+T8mljXaZRzypB551IonAnJ5JU+P8OuhnNV0b8YXrXe1+elkQcVj2JhSe+HKQzPDsrtaHRL7u/pW7+v2dYZANviLmNl2t30qjvIzXl/RNXdTVb1NN62XTGz+DT9K4R5arkj9zfEO081e/+UW9N4pc/Pmpz+6Wxup8pL353J0Y1p3ht9zpJORdUIi3Zy//OrSOlfZXibW97uz3u/ndi4lXOu8d6zsWm1fP+9j3DZTTx3/3xKjsai6+eO1VFUnbj0Or76nxVEJxmvo7FseQ6f1/7K+8u5K0I0E6gesqrv5+t3zqaivpRn1/2aakfleUtovTH0iuvPl6f+H4rHwp9eepG6xJWgq6CeM9ZjAlcUNw/+NaNGBW85qsfj4Q8rHqDW0fJjNDJ9MrdMeIDD69J5+aEZ6JqC5jlnHoqqoWsq0+44yOLv76Qgv45nPv8dWmR+09usK95VL5Uj+d613yMqRuX17U+yr2gzCgr6Oa9tVVGxmEK4b+r/kRkXeNVNaznddv6z4THyKo41Bnf29igqUSExfHX6L4iPSGbFwTdZfeQ9FEVt8ng3HkG5ZfwDDE+fSDDtzF/HWzueQVGUJpV3G2NeNPQWZg68itM1hTz3xW+pd9U2u/x7QNJw7pz0UJc96nOp6JDTNNdffx17du/h2PHjAAwaNIiln37Mjx/+P954481m/+aeu+/mxz/+IVdddQ3Hjh9n3LixvP3Wm3zjm9/i00+XGtpvV09G7sx5hHTbsWb7w4B3KeyJyJHkhw9m9uklLa4LaJwg+tTAf+BobafddjLj9BtMP/N+i9c3Plk+Svsal5X8D4vmaLHwmg6sSrmD/rU76V130O/9kxc+mNf6BK+Pzcd/HsuGVweht1BXQjFpRCfaeOjDDzFbAi+nrigK509XXNP41y2M0hkw+RRmq8bh9enonuYPqasmjYxhZXz9hRX+zvr5HDtaw3/2PgCq22/RrsmmX3Ii/N+cqS1qsdy6gsrIzCmU7x9MfvR/Wt6eZkKxJfDTa/5MeERwVk89t+635JQfDDju6v4/4JP7HsPtUv3WEbnuVxv4qPybuGL2t7zEVzMRVbaAiTMiWHXo7Ra3paAQaongRwv+ToilfZfsvrnjX+zKX9/kSNC5VEUlISKVeYOvZ8m2J/xuS1VMfHfuH0iMTGvXGI0qqsrlyTU/a5LMNeeuiQ/xwd4XqLJXtFiHRkFhct8FXDXy7o4IVRjUIY3y3nnnXV8iAnD48GHKystJTU1t8W9uueUmPvroY9/fbd++gy++WM8tt9zcml13WWm242TajrT4QQve/jADancx+cyHfkuKqeiEaHZGVK5r/0ANmlC2LOByXYC5p1/zm4g0mnLmA/rW7Q94//SpP0CSPa/1AbcDe42FzW8NaDERAdA9KlUlERz4zNjkwk/+MrbhJ//de45tSuPQ2swWExEAzaOSvyeJgv3Gjjp8un4DKJr/6qGaytbKFzldU+C/7wsaewo2kB/2mv/tqR70iNMsXXnEUIztzePxGEpEAJYe/h8et+K/oJmis+K9Wlzxu/3XGlE91CQuY90R/71kdLxzOXYVrDcUo1E19kp2FbSciID39FFpbRErDr5loJqtzsacFe0aY2tsOL404HwPRVFZevB1Km1lfgvi6ehsOfkZNpdUgO4OWj3zLCw0lIkTJjBr1iz+9Mc/YLPZeP31N5rfuKoyePBg9uzd2+TyXbt2MXxYy0vXrFYrkZGRvn8REcE5SmDEkKpNhqqgaiiEaUZeFDrDqr64+MDaIMl+khDdbqR1BuGeapQAiYgCRHiqA9ZBAe9pqiHVmwzH2p4OfZGO2xH43LKiauxZZqya7JGNRr9ZKoZKjqsmjT1Lje37VMgn/pu7AaganqgcY6XWAawGSpNrKvvPrDUUY3vblrfG8FinqRRdC/Cc1BVq0z8w1ptGV3BqRuYTKewu2GAoRqP2n9qKrgd+/igolNUVBzzi0DjvJRh0XWd34Ua/ybF3nMbpmgJDz12P5uZQO/csEh2j1bN7EpOS+MlPHiY6OobMzAz+9re/U1JS0uzYyMhIrFYrFRVNO8ZWVFQQGxvb4j4e+Pa3eOih77c2tKBoXBkSiO63lNhZ3g96Y5OC21uss9Tw2Pafq64Q7g7O7a6vDEFRdL9HRgB0TaW2rOUZ/efyOE0YvZeMPTOgvsrgue+QSmPjIOCHk3eQsYQJVcNlCk5zt7K6U+2/0bBy7xGmgIy+GnRqndUXE9EF6p21qIqKpvtPPg09zg3sruD0xHFrLjytOA1v5DYpKNQ7jb1Hi+BqdTKSn5/Ptdd9CYDBgwfzzttvouk6zzzz7AVjXS7vDP6QkJAml4eGhuJyOVvcx+NPPMkzzz7n+z0iIoKdO7a1NtROUW+OMjQu0FGERjpQbzK2zfZWaTU+27/x1rRfUqIbvi/bW0SsI2AiAt4jI5EJxiaRmqweNJuCkXvI6MdERKyxNvU4YiH8jMGtqhCopYCRRARAU7F4gjOBNTEivf03Wp/gnawbsOWC0UdQIdIaHXhYK4RbowIeSfDuWTGckIRagrMqyqxaMKsW3JqxlWNGbpOOTrg1sj3CEx3sogoEHDp0iDVrPmfunNnNXm+z2SgvLyftvDklqampFBYWtbhdp9NJbW2t719dXdc953cweoqh/jAqOvUmIy8Khf0xxis6tqfS0N7Y1TAjrTOoM0UT6INWB2pN0X7nizQyoXmXAgfBoBmFmEMCfyPTNZVRl+ca2mb2VKPf1HVDzdg0j8rIRScDjgNId1zhv4Q5gKZiqu5H4A9a75s+TgMfUKrG8KT27Q9j1LisWYbHWj1JKGrgBCzy1NXGetMoOiGqkQ9wndG92ve1PSxtPKqBWc06OgkRqQFPbaiKypheM/yO6SiKojAqc6rf2ijecSop0b0MJVdm1cLg1LEBx4nga1UyEhZ24Szw3r17N6kbkpGeztixY3y/r127jgUL5p/doaoyb9481q4L3iTN9lQc1pe8sEF+541oqByNHMOmhKv8vnw0FOxqOHtjg/NmALAtfqHft6vG+Fcl345TDfXb5VcBNiZeQ07EcL/zRjRUciKGURravr1FjAqNdDP5xqMofo4AKCaN2NQ6hs4uMLTNKx7a3vCTv0dcZ+DUIobMyvf74aiaNLJGnSZzmLFTIJdPn+JNRvwlOarGxIS7SInu5ffNX0FhdOZUsuy3+9+eZkKpS2Hh/AGGYmxvJpOJfglDDY29fPA93kJ2/o746AqXXRuBpXy0/3kjmonossuZkb245TF4VyWFWyMZlTnVUIxGRYXGMrrXdL9JhqqoJEdlcNmQmwJ+gDeuQAmWqf0WBv4ypGssHHIzseFJAZ+7E/vMI8zSdeccirNalYy8/dabfPtb32TOnNlcfvkinn32X2RnD+TJp572jbnllpt55eWXfL//7e//YOjQofzhD79nwYL5PPXUE0RGRjR7Wqe7erfXd6i0pqCddzKmsY5GaUgmH2V8g80Ji9kb4000zv8Q11BxqSG8kfXDoC3rBViXfCPHI0YCLbbOYGvcIg7ETeeNrB/iVqwXJBqNt21n7By2xS/k/YxvUxaS3uz9o6FQZk3j/YwHOuT2GHXZg7sZOK0I0C9IShRVIzzGwT1PrsZkMXaoOzbNxvW/3NzwW/P3ZFxGLXf+43Nu+M0m0rIrvftVmt5DiqoTl1HL7X82Pqmw/4AoZkf/EjTzhR+kHu8Rk97VX+OqxQO5a9JDRIfG+fq8nC8rfiDXjLqXL980g6gzl3kvPH/yp2YCRwy3DP854eHBKzJ175SHiQqN9TtmVMY0Jg0bzR1/XYvJrKGamiaBjUnhjLsPMO7qXL664NuodZne29zkofGuxrFUjuQbX7qR2dnXMKKxf855r21VUQkxh3LvlIcJ8VNFtK2uHnEPveObr02koBIVGsfdk3/IiIxJzBt0vS+m82NUFRO3TniQxMiWV0d2tLSY3tw49usoitpsjACXD7uNwaljuHfyjwi3RjXpVwRn7/8BScNZNPSWzglcXLRW1RmJiYnh3nvvYcyY0bhdbg4fOcKLL75EcXGxb8wtN9/MlVdewR133uW7bPDgwXztq/eTnpFOTk4OTz31L/LyjC/j7Op1RsBb2n3MeRVGKy2JbI+/jJ1x886pwKozpHoT48uXkmnzFilyKqHsjpvF1vhFVFmTg3UTmph45iMmlX1EhKfGN8Gy0pLE50k3cTD27Le7WGcJE8qWMrJyDVbdOw8oPyybbQmLOBQ10VeB1aLZGVvuvX9i3GUAVJnjG+6f+ThNwW+X7nEr7PywL+tfHUTJsTgAwqIdTPzSMabcerhVRcca5e5M5MM/jOfU4TgaT2tZw1yMvfoEV/5ou6/cu9NmYstbA9n4ejYVhd7TeVFJ9Uy5+QiTbzpKaBsqsO7bW8GyrWsoi/kAzE7QFcLKZjC17+XMm3v2KFS9s4aNJ5azKWcldQ0TLBMjUpnSbyETes/BbPJ2fHa7dd7/+CB7yj/EFb/H+8f2GDLt13PVnCn0yuoa30CXbH2Cfac2N5lLEWIKY8GQG5jaf5HvspLj0Wx4dTA7P+qL2+lN0vpNKGba7YcZMqvQN66i3Mk7S7dxgrfRI7zvdWpVXwaHXsf1V4z21VXRdI3dBRvYcGIZhZXe6soh5jDG957NtH6LiA1P7LDb7Pa42HpyNRtzlnOm1nuKMMIaxaS+C5jS9zIiQs7Oxzpyeg/rj3/K0dPex9CkmhmVMYVp/ReTFhOco5PnK6g4wfrjn7K3aDOa7kFBYVDKGKb1X0T/pGG+cTX2SjaeWM7m3FXYXN6JqilRmUztt5CxWbM6tGeRMEZ60wSLrhOq1UHDKRd/Vaosmh2z5sRuikBXuuaLJtRdS4S7kiprIm615W91iu4h1FOHW7WeTbyao+uEat7Z+oHun2Cy15rxuEyERTtRTe3Qm8auUlEUQXi0i6jElpOaxr44uq4QFu1sl7vH6fBQUeEiItLsK13eHE3XsLvqUBSVUHO433oP1VUuHA6NuHgrZnPXfAwr6s9QaSsjNSqDMD+TGD0uBVuNFWuYG2tYy6tS3B6NqgoXqqoQE2vx25vG4bbj9rgItYR36geirus43DY03UOoJcLvaQyXx4nDbSfUEo65i5ZNd3tc2N31hJjD/FZSbXzuqoopaBNwRfM6tDeN8ENRsAeYqJpqO8G48uUMqN2JWXNRaU1iV9w89sZM7xI9Ws5lN0diNweeeKsrJmxmAysFFAV7EE9DGRUa6QYuPvF11JnZ8VFftrw1kIrCCMwhHgbNKGLKzUeazAHRNDjyRTobl2STvzcRXYf0wRVMvvkIQ+cUXFSzPmuIiZTUlj8Q3S6VfSt7sWlJNiXHY1FUnT5jTjP55qMMnHKqSUJ0clciG1/P5uiGNDxulYReNUy+6SijLs9t8kFeeSqczW8OZNcnfaivthIe42TMlTlM/NIxYlPPLh11uu3szP+CzbmrKK8rwaRayE4ZxZS+C8iKH+gbp+twZH0aG1/PJm93ErqmkDqwgsk3H2X4vLxmT5/FhScS5+doRH2llW3v9Wfru/2pLg3DGuZm+Px8Jt90tNmy/2aTSkJiSDNbulCIObRDTskEoiiK4Q9ji8nq9wPe5qxje97nbD35GVW2ciymEIamjWdy3wWddgTFbLIQaQrcJkJVVMKtwVmNJ9qHHBnpZFNL32NW6Zt4UH2rcBofgGpzAq/2+WmXaZYnLk55QQTPf3UelQ2N7xongKomDc2jMv8be5j71X24XSqv/WgaB9f0QjFpvmqsjX1S+o4v5u5/fu73W3tb2Wos/PebcyjYl+jb37kxjro8hxt+vQnVpLP0H6NZ97+hvuu8QeqgQ2LvGu57ZhUxKTYOrUvnlR/MQHMrTYqLKaqGyaJxx1/XkT31FJX1Z3h+/aOU1zetU+Stm6Exe+A1LBhyI5pb5Y2fTWXv8t7N3j9Zo0q554nVDQmkMUWHY/nP1+diqwpp0g9INWnomsLVP9nKpBuO+d1GT1ZSXcC/NzxKraOacyfLND42Vwy/k2nnnPISoiUdUg5eXJzhleuYVert4XPucuDGahSR7gpuPfl7zFrLNVhE9+ByqPz76/OoPh3um+zYqPGDfOXTI9n+QV8++sM4Dn3uLTN/bln4xg/y3B3JvPnzKR0S56s/nE7hgfgm+zs3xt1L+7DiyVFsfC2bdf8b2uQ67x95n73lBZH895tzKDwUyysPzcDjUi+ocqprKm6niZe+O5NTJ8L5z8bHqLRdWGivca7HmqPvsyV3FUv/MYa9K7zfxJu7f/L3JrDk4WmGb3N9pdWbiFRbG+rLNH1sdF3h/d9N5PAXwenPEmx2Vz3/3vAodc4azp983fjYfLzvJfYXbQ1CdKKnkmSks+g600vf8btszYRGrKuUwdWb/YwS3cG+FVlUFEY2/eC+gM7Kp0ey9d3+/vviaCr7V2Vx5mT7HoYu2B/P8c1p/kuj6wobXh3EZ8+13L4BvB/ip0/E8ulfx6Jrfvq+6Aq6pvDpR/mcqT0VsGDXqkPvseGNfn6XFeuaypH1GZw6Eut3W422vd/fe0TEz+1WVI3Vz/u/zT3Vjvx11Dqq/fZ9UVBYfeS9zgtK9HiSjHSSDNsx4lynA9bj1FAYVbmmM0ISHWjbe/0DF9ZCoao4wlDRM9WksePDvu0TXIMdH/a9YGlrc9xOlfpKA/MfFI2cbSkBEjBv4nLM/UmLy4nPVeusQO8VuN+NatLYafD+2fpOfwK1c9E1lbzdSZTlX3rVO7edXEOgqrI6OkVVuZRUG6u7I0Qgkox0kki3sYJVKjrRLqOlvEVXVVkcEbgZWwNFNTZtq6qkfSc3V58OR9OMlME3OK1MVw2V1QcgKs9vp9km+4/ND7xrHapOG7t/qkvDMNrIoPp08Jecd7Yqm/H+QtX24PQiEj2PJCOdxO9y1/M41UvvDbCnCYkwXhfEQNNVUCAkon0nb4eEuw0lGoYTjFY0Y8MReIWEb6v2wEcnFAWsYcbuH6PjAKzh3XvCfFuEmI2tGAKwBmHFkOiZJBnpJHnhg3EqgV/kGgqHoid2QkSiIw2f57/EeyNziMvQERTNrTLEYCl6o4bMLmgyIbRFuoJqNrCSR4H4zJqAt1tRNRLq5htqAW9SLHD8soDjNI/K0DnG7p/h8/MNnJ7SiU6uJy270tA2e5Lh6RMvqGranAhrFJmx/TohInEpkGSkk7jVEHbGzfPby8VbPl5ld+yczgtMdIjx1x3zFkvz1+9G1Zh84zEyh5/x++GomjQSetXQf2Jxi2PaYsisAqIS6wP2xRkw+RRjrszxn2QoOpYQD3O/tjdgcqVrKvMmj8MUoNCWoqiM7z2LvsPtfu8fRdWISalj0PSWm2+ea/JNR72TbP3uHKbedrhdCt51N5P6zA94uE5BYUq/hQEfQyGMkmSkE61NvpHCsIHNJiQaKjoqH2R+i1pLXBCiE+0pOsnOzY9uQFH0Zj/EFVWn14gy5n9zD7f+YT3hsY5mP3BVk4Y13MUdf1vrKx3fXkwWnTv/vhZLqKfFfUcn13PDrzdyxUM7SB1Q2cJt8fZ4uf3P6xhzRS5TbzvUcMV5H2gNv8+4+wCjZ9Vx24QHURVTs9/CFRTSY3qzaNit3PS7DUQl2lq+f8Lc3Pn3tYYTh5T+VVz9f1t9sTflTSAHzyhk2u2HDG2vp0mITOX6MfcDNDvJWEFhQNJwZg68qrNDEz2YFD3rZCbNydQzHzC2YiXhnhrf5TkRw/gi8XoKIgYHMTrR3nJ3JvHZM8M5tvlszYrwGDuTbz7KrHsPYAn1nv6oPh3GqmdGNOmTopo1Ri7MZf7X9xKfWddhMZ7OiWbVv0awb2Uv31ENS6ibcdecYO5X9xIZ7wDAUW9m9XPD2PLWQOy1DZU7FZ1B04uY97W9voqyug47PujH5y8M4Uzu2bkhSX2rmHXvAe9RloZ8PK/8KKsOv+PrkwIQZolgUp/5zM6+2jcnoaYslM+eGc6OD/rhcni/jasmjeEL8pj/9b0k9j77WjLq8BdpfPbccPL3JPkui06uZ+pth5l2+6GLqnrbExw7vY/PDr9Dbvlh32WRITFM7beQGQOukKMiwhDpTdPFqbqbZHseZs1JtTWRakvHNdESwVd5KpyKUxFYQjykZlditjR/2sFeY+H0iRh0HZL6VBMe23kF8GrLQyjLi0JRdVIGVBHSwuRNl0Ol+GgcHpdKXEYtMcm2ZsfpOpw+EUN9pZXwWAfJ/apb7LVTZSujov4MZtVManSWrznf+Rx1ZkqOx6BrCom9a4iIc7Tptp6rLD+S6tNhWMPdpGVXXpKnZvwprztNlb0cqymE1OgsaT4nWkV603RxmmKmOEwmf/V0uq5z/Mx+thWuoay2GIvJyqDcMYzLmkVkSNNePkc3pLLsiVGcORmNrkN8Rh3zvr6H4fOaTsy0uerYkbeOg8XbsbvqiQtPYlzWLLJTRvltjBZIZLzDdxSkJUWHYvnkr2MpPBCP5lGJTLAx7Y5DTL7paJPTSC6Pk72Fm9l9eiN1jioinDGMtk5lePrEJv1QdF0np+wgW0+u4UxNEWaTlUEpoxiXNZuo0KYrbo6X7mfZgSWcrilEB+LKE5mTfS2jMqc2GWevsbDz477s/ywTe62F2NR6xl19gkEzippNNBJ61ZLQq+U3ydaoLQ9h27v9ObIhDZfdTGLvasZfd5x+40931Z6QAcVHJBMf4b+beHF1PltyP6Og4jiKAlnx2UzsPZekqPQOjU3XdfIrjrEl9zNO1xRgUs30TxrGhN5ziAlL6NB9i/YlR0aE6CA2Zx0vbf4LueWHfT09wHvOXVVN3DDm64zKnIKmwTP3Lmg4XaBztgaG9+ekfpU88NpSzFaNwyW7eHXrP3F5nDQupVUUFV3XSIvO4p4pPyYqNLZDbs9bv5jEjg/PTaAVX4zhMXYefPMTopPsnKo6yX83/oFaRxUKCjq67/9RoXHcO+XHpEb3wu6q5+Utf+fEmf0X3D+KonL96K8wNmsmmqbx7w2PklN2sNm44iNSeHD2o1jNoRzblMLLD83EaWv4nqUrvn42yf0ruffJ1cSkNH8k52Lt/LgP7/xqEpqm4r0piq+PT9/xxdz513WERhlf8t0daLrGh3teZHPuiiaPYePPMwdcycKht/jtAN1WLo+TJdue4GDx9vOePyqgc8WIO5nab2G771e0jvSmESKINF3jf5v+xMmKo77fG+noeDQ3b2x/kiOn9/Dfb845Z97CuW/a3p9LT8Tw9N0LyCs/ykub/9okEQF8ZbtLarzNzbzXt69P/jqaHR/2Pycu5Zyfob4qhH/cuJjyujKeX/876hw1vtt67v9rHVU8v/63VNWX89Lmv/oSjPPvH0338NbOZzh4ajsvb/lbi4kIQHldCU9+/gsKD8bxvwdn47KZmvQDaly+fCY3mue/Og+nrf1PMxxal86bP5+Cx602rNTx7ruxGm3ujmRe/O5MNGN13rqNZQeWsDl3BdD0MWz8ee2xjzqsbPzr25/kUPGOC/ato6Gj89HeF9mZv65D9i3anyQjQnSAIyW7yKs46re/B8Cne97k+ObUAFtTOHUono+3v4+uexeAN0fTNU7XFLK3sH17G2kabHh1ME2P2lwYo60qlLeXbsThtrVYXVXXNWyuej498Ao5ZQcD3j+f7H+VQyU7AsZYWlvIh0vq0TUFXW/+bU3zqJTlRbHrkz4Bt9caug7L/jm64Z5p/v7RNZXcHSkGHuvuo8ZeyfrjnwYct+bI+9hc7TsBu7AyhwOntvmS3JYsPfB6wP5HomuQZESIDrA5d1XAwlE6OiV1JyBld+ANxuSRX78zYAl1BcX3TbW9bHp9YMM3/ACH2lUnOdqHAd/8dV1jX9FWQ/NbyuqM11bJS/h7wL44KLDpjWzD2zSi8EA8JcdiA1aqVU0aW94a0K77DqYd+esakmP/3Jqb3QUb2nXfW09+Zuj5U2OvaLJSS3RdkowI0QFKa4oCfuv3STgSeEz8MUOb0tE5U9u+xdGKDsYbGxheBlZjE0E13dP+31hjTgYeoyuU5bVv9+MzBreneVRO5xgvg9/VldUWG5oLoioqZe38nCytCdzxGbzJeXvvW3QMSUaE6AAtLU1tlsdALxC38X4h7V3/wRxioBQ8GLsdHUkzdp+bWlhW3VYms/Htma0G78tuwPs8MzYxtd2fkwa3p6NLPZRuQpIRITrAwOSRhg4jK7oZ8qcF3mDxWFQtcFdaVVEZmDTCSIiGjb0yB0NN8GyxWKoHEegDSkEhMiTGUP8TI/1rGpkKZgUc01jevj31GVNqoNeNt9rrwCntu+9g6p80DE0PnFxpuof+ScPadd8DkkcYfm70SxzarvsWHUOSESE6wKQ+8wIeRlYVlVG9JqM64vH/Ya+DO4wJfeYE/ADXdI3J/QI3lmuNrFFlRCbYA8QIoDBtwMKA43R0Zg64ImD/E1VRGZo23vA328mx9wds0qd5VKbcbOC0WCtEJdoZPj8vcEKiK0y8wdjptu5gSOpYb1LpJylQUIgLT6J/0vB23fe4rJmoAYqvqYpKv8ShHV7rRLQPSUaE6ACJkWlcPuy2Fq9XFZXo0HguH3Yb1/58S8OlzX04ey9b+MBOFg6/lqTINL8JyayBV9Errn+L17fVHX9b21C0q+UYR12ey7xJ4xmUMhp/q26Gpo5nav/LuXLEXS3uT1VUIkNiuGrE3dww5msB45ubfR3z78sndWDz/XMaTbv9EH3HlQbcXmstfmhHi/1zGu+fxT/YQXxGx5X172wm1czN476FoqjNJiQKim/MxRTja064NYrrR9/f4vWqohJiDue60V9p1/2KjiNFz4ToQDvy1rL84JtU28t9lykoDE2bwNUj7/FVGd31SW/e+91EnPVN5z1YQt1c/t2dTL7ZW6/E5qzjo30vsrtgY5ND5BHWaOYOuo7JfRd0SIEpgLy9Cbz83ZnUlodybrKhmjQm33yEK3/oXYLr1tysPPgmm3JW4PScrehqNYUwpd9C5g/+ku9ox+6CDSw78DqVtjO+cQoKQ1LHcdXIu4kJ806e3Ve0hbd3PovD3bRgmVm1sGDIjcwYcAUA9lozH/9lLDs/6ovmNuEryhZrZ/Z9+5l2++EOq4RafTqMD/4wjoNrejXpChyTWsfCB3YzenFux+w4yE6WHeajvS9RWJXT5PJecQO4euQ9ZMT27bB9Hzi1jU/3v3bBqquBySO5ZuS9ASvHio4nvWmE6CI0XeNE6QHK609jMVnonzic6LDmOzPv/yyDg59ngg79JxUz5ormV4jUOqo5dnovTo+DmLB4BiQN77SJerm7Etj5YT9cDhPpQyqYfPNhzM3s2uG2c+T0buqdtURYo8lOHuFrfHcuTdfIOXOQ8roSzCYLfROHEttCKe9DxTvYX7QNHY2+iUMZkzkdtZl2xvWVVo5uTMNRbyY62caAycUt9gNqb1UlYZzYmoLbaSIuo5Z+E0raveNyV1RYmcOpKu/zNTOuH6nRWZ2yX13XOVl+hNLaIkyKiT4JgyUJ6UKkN424JBQfi2HXx32oLQsjNMrJsHn59BlT2qX6gFQXR5L34S2UF3ob5YVMOcXgmc33SRk2t5Bhcwv9bs/udPP6W/vJda1BV21YXMnMGZjEzJkZbY6xvtLKjo/6UnIsFtWk03tUKSMuy/N1FT5Xn9Fl9BldFnCbIeZQRqRPCjiuxl5BXvlRyhqSEYsplKiQ2AsasjndDmod1aiqiqaD3VWPw20jzBpxwTbDY52MutzAUt8OEJNiY8yVuUHZdzBlxPbt0KMgLVEUhT4Jg+iTMKjT9y3ajxwZEd2SrcbCkoencXRDepPz9JpHJXVgBXf8dS3xmcE9P+92qXz4h3Fse2cAKLovQdI8KtHJ9dz2xy/IGnXG/0bO8/Gnx1lv+zWY3E2nbyigVPfiO5f9iuSUC48+tETX4fP/DGXVMyPQ3CqKqvtiDIl0cv0vNjNiQX6rYjTKo3n4ZN/LbMrxFmnznl5S0HQPkSEx3Dr+AfomDgG8p3Pe2/0fHG4bquI9/aLpOibVxILB3tM0HXV6SgjRdtKbRvRYLofKf74+l2ObvKW1NY/q+wfetvX/uucyqkuNfyi3N12Ht34+ma3vDEDXFXStaYw1Z0J5/mtzKTrU/Oma5qxZU8B6xy9AbUjIlXP+AXpUPn9f/UPsduOnI1Y/P4zlT4zG4zKh60qTGB11Fl778XQOrM40vL3WeHf382zMWYHe8J+ma755MHWOav6z4THyK46zt3Azr29/0jdf5GzBNG+Pn6UHXmPtsY86JEYhROeQZER0O7s+7kvhgXh0reUeJPWVIax9IXj1BU7uSmLPsj6+Zm3n0zUVj0vl07+NNrzNFQWPe39oeaEKhJXzwhtrDW2v5kwoq/7lpyZJQ+zv/348mqd9jzoUVJxgR95aWloG3Ngs76O9L/LBnhcCbm/FwTd9zfmEEN2PJCOi29m4JDtg4UfNo7Lt3f647O3fodWIzW8ODFh3QtdUjm9JoywvMuD2DuyvQI8sCFzwUoc869uGYtz+fj8CblBXqCkN58iGNEPbNGpL7qqAyz11dPIrjlHnrA64PV3X2J73eXuFJ4ToZJKMiG5F06DkWGyLRxzO5bRZqCi6cHJjZyjYFx+4aVuDU0cCn6rZvv+4scrbChBaYWi/RYfiDRVWVU1aq04nGVFQedxwbxqjlTaLqnIvIiIhRDBJMiK6FeWcORLG/qCjIgmw29a8spTAGYHaES9VRcdQNgIdsDqpvTeoyARWIboxSUZEt6IokD64PGDZb4DQSCfxGca6yLa3rFHG+pWg6GQMKQ84bNKYAcbyBh2oTzQwEHoNL8NIUqB5VDKHB17K2xq947MNV+XUDdxwHZ3M2PavPCuE6BySjIhuZ8otR1qcvNpIMWlM+NIxzNbOKXR1vsk3HQ14mkY1aWRPKyIuvT7g9gYMjEap7mOkPQz99BsNxTj2qpyACZOiaMSm19J/Yvu2YZ/Ud37A0zSKotI3YQjRoXEESppMqomxWTPaMUIhRGeSZER0O6MW5dJ3fHGLR0dUk0Zsaj2z7jnQyZGdlTmsnIk3HKWl7EFRNSwhHhZ/f6fhbV475LveuTItJSQ6KDXp3HPzFEPbi4hzcPn3Wt6/ouigwHU/39LuFURTo3sxrd8iP/tWMatmrhp5F9eN/kpDKtJyQnLF8DsJswRnfpAQ4uJJMiK6HZNF5+5/fs7IhSdRFB1F1VDNHt+3/N6jS/naf5cTHusMapxXP7yNWfcewGTxoCg6pnNiTOxdw9deWE5y38ArRRpNmJDE5Yl/AHeY9wK96T+1cgj/d83vMJuNv6yn3naEa36yBWu4C2iI0eyNMTLBxt2Pf87Aye17VKTR5cNvZ+6g6zCpZm9TNcXUUNAM4sOT+er0X5AancWglNHcOekhIkOiAVDPGRdiDuO60V9hct/5HRKjEKJzSAVW0a1VFIWzZ2kfastDCYl0MXxeHqkDq4IdVhP1lVZ2fdqHisJILKFuBk45RZ+xbS9Z73ZrvPfxQfafWYVHtRGqpXDlhKsZOTK+zTE6bSb2rsjylYPPGlnKoBlFmMwd//Zgc9axq2A9FfWnMakWBiQNp1/i0AsmpHo0D4eKd5BfcQxN10iNzmJExiQsJmuHxyiEaBtplCdEB6spC+Xgmgxs1VYi4hwMnVNAeEzbj8boOuTuTKJwfwK6DmnZFfSb2HyTtfLCCA6vy8BpMxGTWs/Q2QVYwy7sI9MRiqvzOF56AI/mIiEilUGpYzB3UpM+Ic7n0TwcKdlFae0pTKqJvglDSI/tE+ywRANplCdEB3HUm/ngsfHs/qQPmqagqjqaR+H9Rycw8UvHuPx7O1s9cTZnRxLv/WYipbkxvrkwuqYSl1HL1Q9vZdD0U4C3auo7v57E4S/SARr2rWINczHznoPM/sq+DusQe6b2FG/tfJa88iMoDUtpNV0j3BrFZUNuYmKfuR2zYyFasDN/HZ/uf41aRxWKooKuN6ys6sf1Y75KanSvYIcoDJI5I0K0gstu4t9fm8uuj/t4V8s09HMBBY/LxKbXs3n5+zPwuI2fgzmxLZl/f20eZ05650TomupbLVRRFMGLD87mwOoMastD+Nc9l3F0Q1rDRFbFt2LHabOw8ukRfPDYePQOONZ5praYp9b+koKKY94YG3rJANQ7a3hv979Ze1T6w4jOsylnBW/u+Be1Du9pWV3XfMvAC6ty+dfaX1FSXRDECEVrSDIiRCtsfD3bexqlhaXFuq5wZH0Guz/tY2h7mkfhzZ9NQde8f3vhBhV04K1fTmHFkyOpKg73s2RYYcub2eTuTDK079b4YM8LON02v8txlx1YQkV9abvvW4jz1dir+Gjviy1er+saLs3Ju7ue78SoxMWQZEQIgzQNNr6WHfDIg6JqbHgt29A2j25Io6okwn/dFF3BXmNlxwf9DNUu2bTE2L6NKqsr4VjpXgPl2xW25K5q130L0ZxtJ1ejB3gh6rpGXsVRiqvzOikqcTEkGRHCoJrSMKpKIghUgEvXVIoOJuB2BX555e5M8i2l9UdRNTzuwE3/NI/Kie3JAce1xsmyI4bG6WicOBO82i7i0pFTdshQZV6AXIPPXxFckowIYZDH3bqXi2Zg3oh3m+07yUNrZZwBt6cbX6Xj0TpnRY+4tHkMrqpUUNBkBWa3IMmIEAZFJ9mwhrkMjNSJTq7HEhr4gzm5X5Wh5ME7nyRw0qKoGin927fOSnJUhqFxqqKSGp3VrvsWojkp0b0M9TbS0UmOyuyEiMTFkmRECIPMVo3x1x0P3M9Fhck3HTFU1GzkwpNYwwJ/c1NVnQGTT6EE2LeuqUy66WjgHbdCr7gBJEWmowQ4PaXpGpP6zGvXfQvRnIl95hiYwwSxYYn0SxraCRGJiyXJiBCtMOOug4RGOVtMClSTRkxKHZNuNJYQWMM8XPbt3QHHzb5vP4u+uwuTSffbkydjWBnD5uUb2rdRiqKwePjt/segMCxtAplx0jlXdLzU6CzG9JoRMEFePPwOw92hRXDJoyREK8Sk2Lj/+ZXEJHs77TYmBmd7zlRz//MrCYs2cjrHa8qtR1j0nZ0oqtawPW+zGUXVUBSdWV/ez7yv7yV9UCX3PvUZoVHebSuK3mTfvUeXcu+TqzFb2r9T8aCU0dwy/oELSq83vtEPz5jETeO+eUEJdyE6ynWjv8KYhk7NTRMOBZNq5oYxX2d4+oTgBCdaTcrBC9EGHrfC4XUZ7FmeRX1lCFEJdkYtzmXA5FNtroBaXRrKtncHkL8vAXRIH1zBhOuPEZtW32Scy+7tI3Pw8wyc9WZi0+oZd/UJeo080+Z+N0bZXfXszP+C46X7cWtOEiLTmNB7jlS6FEFzuqaQbSdXc7qmCJNqpm/iEMb1mkmYVbo4dwXSm0Z0Gl3XKa7Oo7L+DBZTCFnxA7CaQy9qm06bibzdibjsZmLT6kjNruzwD9rW8rgV8vYkYquyEhnvIHPEmRYTkeJjMVQURGIO9ZA14gwhEc0/j6vtFZyqOomu66RG9yI2PLEDb0HXcWB/JQVFlVgtZsaMTiYmtus1v6uoL6WkOh9FUUmP6UNUaGywQxKiy+uw3jTp6WlMGD8Bs8XM7t17OHbsmN/xo0ePZvz4cU0uczqdvPjiS63dteiCDpzaxspDbzcpLGQ1hTChz1wWDL6h1UmJ02Zi5VMj2fL2AJw2i+/ylAEVLPjmHobOKWy32NtK8yise3Ew618eTG15mO/ymNQ6Zt17gEk3HvUlToe/SGPFUyMpOpjgG2cJdTP+2uMs+NZuQiO9SUlZXQlL97/GgVPbmtRPGJQymoVDb+mxRx7WfF7A6uNLcCXs9F22fGUoyTXXcdfVC4hPCAlidF6nqk6y9MASjp7e47tMUVSGp01g4dBbiI9o37ouQlyKWnVk5LHHHmXmjJns3r0bj8fDokULeeXVV/nlLx9p8W++850Huefuu/jgww99l9ltdn7/2B8MBylHRrqmzbmreH/3f1BQLihApKCSHtub+6f9zHBC4rSZeP7+eRQejL+gIqmi6Oi6wtX/t4XJN/lPgDuSpsHrP5nK3mW9ubD4mQ4oTLn1MFf+cDs7P+zLW7+cjKJcWOq9cQnuV/+zgmr9JP9a90iz5dZVRcWkmrl/2s/JjOvXobets3348VE2uh7x9tk5f1KuZsJU3Z/vXflwUBOSvPKj/HvDo7g1N3ozj02oJZyvz3iExMjUIEUoRNfWIUdGVn+2hp/85GdomvdFOXHCBN577x0+/XQZmzZtavHvCgoL/SYsovspqy3mg93/BWi2EqKORlHlSVYeeovFw+8wtM2VT49sNhGBsx/mHz42gQGTSkjsXXMR0bfdjg/6tZCI4Lts42uDSB9Uzju/ngQ033NG11RKjsew9J+jyJvywxb7vmi6hu5x88rWv/PDBX/vMSsDThXZ2Oj4Hai699/5VA+e6OP8572P+cF913d+gHgLuL2y5e+4Pa5mn+OarmF31fP6tif41uzfBiFCIXqOVr2zLVu+3JeIAGzZuhWHw0H//v6/scVER3PrLTdz3XXXBhwruofNuSsJNIlDR2NL7mc43faA23PaTGx5e4D/Hi2AoupsfnNgq2JtL7oO618ZHHDuimLS+OzZ4Y2/tbw9TWX79hKKq/P81kzQ0aiylXGkZFfrg+6iPl69ExSP/8r6qofyuA8oPe3otLjOdbB4OzWOSr9lxzVdo7Aqh4KKE50YmRA9z0V9zZo7dw4hISHs2b3H77iwsDAmTZ7E1VddxcoVy/nlL3/hd7zVaiUyMtL3LyJCZkV3NQeLd1xw2Lo5To+DvPLAp1Xy9yXgrLcEHKd5VA6uMVYRtL3VloVSciy2+e6659A9KhVFkQETKwBP7xUoBO45oyomDvWgZCTfsREUA0uQTS62bG/fuilGHSnZbehIlKqoHD69q+MDEqIHa/UE1kbp6Wn8+U9/4vU33mTvvn0tjlu+fDlPPfU0Lpe3NsKUKZN54/UlbN68haVLlzb7Nw98+1s89ND32xqa6AROj/Fvqy7NGXiM3fhT0dmKse3JZQ+cNJxlcOmPpb5hzk0gOm5P4Puxu9BM9YbvIqcrOPPEXJozYIdmLwWXu+c8NkIEQ5uOjCQlJfH6ktc4cOAAP/7xw37HHjx4yJeIAGzcuIl9+/Yzc+aMFv/m8SeeJHvQEN+/MWPHtyVM0YHiw5MDVj9sFBsWeHlqbFqdoW0pqkZ8RsuToDpSZIId1WysEZxq0ox986/sg0bgberQo5b5hrl6gcdYcpecENPB0TQvNizR0HJyTdeI60GPjRDB0OpkJCkpibfefJ28vHzu+8r9OJ2t/0bgcjmJjopq8Xqn00ltba3vX12dsQ8q0Xkm9J4bsIW3gkJaTG/SYgI3T0sdUEX64PIWS5030jWVCV8Kzmoaa5iHUYtOBu5NY9LInl4EeoCXl6KTUHWFsYZfusbYXjNbE26XNr7PHDAFSMJ0UKuzmDQ5pXOCOs+4rJmG+p+YVBMjM6d0QkRC9FytSkYSExN5840lFBQU8uX7voLDceGh+rFjx3DXXXf6fh8wYECT67OzsxkxYgRbtm5tY8iiKxiRMYmEiBS/H6Q6OvMH32B4m/O/sadhnkXzSY5q0ojPrGHkZXnNXt8ZZt5zENWk+0qxn09RNaxhbq74wQ6S+1X6T1x0hcvuK2Rqv4V+96mgMLbXjB5Vz2Lu7CzM5SPA4+eUmwLjY+7GbArOCqLEyDRGZkwJeARwev/FhFlkXpsQF6NVr/LXXn2Z9PR0Nm7cyJ133sFXvnIfX/nKfYwdO8Y3Zs7s2fzfwz/2/f673/6a5597lu9+9zv8+pFf8cH77/L552t57bUl7XcrRKezmKzcN/UnxIV7PyDPfcNWFBUFhetG3ceQ1LGGtzl4ZhHX/XwzikqTRnSNR0vi0uu475lVWEKNnSrpCCn9q7jrH2swh3hQVG8PGS8dFJ3QSBdffno1CZm13v9neZcgn3vEx3sKR+fKH21jxIJ8Fg69xXfU49zkrvHnwaljuXbUfZ1y+zqL2azwzUXfxVw9yHuBds4pm4YEZZDtO1x79eAgRHfWl8Z8lUEpo4HmH5vxveewYMiNwQhNiB6lVUXPfv6zn2K2XPhNZvXqz1mzZg0As2fPZsrkSU2Kms2ZM5uxY8Zgs9nYuWsXGze2XJOkOVL0rOtyeZzsK9rMltzPqKgvxWIKYWjaOCb2mUdCRNsOr5flR7Ll7QEcWJ2Jy2YmLqOWCdcfZ8RlJ7GEtH8TuLaoLQ9h27v92f1pH+qrrUTG2xl7VQ5jrzrRpEme26myb1Uvtr49gLK8KCyhHgbPLGTSjUeb1ErRdZ2T5UfYlLOCvPKj6OhkxPZlct8F9E8c1mMb0NkdGitXnWDHqeU4QnNQtBCS3dO4bNJUBg8NzlyR82m6xvHS/WzKWUFRZQ6KotI7YRCT+84nK25gj31shGgP0ptGdCp7rZnasjAsoW6ik21dro9MRyk5Hk11SThxGbUk9g7OxFohhOiqOqw3jRDnOnU4ls9fGMq+FVloHu+h66S+VUy7/RDjrzve5g62Xd2yx0ey6fVsHHWNDd10wmIczLr3ADPvPhTU2IQQoruRZES02ZH1abz0vZnomuJLRABKc6N577cTObYplVse24Bq6vIH31rl2fvmkbsjhaYTbRVsVSEs/ftYCvYncNsf1wcrPCGE6HZ66PdW0dFqzoTy8kMz8LjVJokI4G18hsK+lVms+9+QoMTXUZY/ObIhEYELq3Z5f9+3Iostb/fv1LiEEKI7k2REtMnWd/vjcZkaEo+WKHzxymA8rp4zgWTjkmxaWnp8rtXPDQ84RgghhJckI6JN9iztjYF6UNSVh5K3p2dUpzxzMhJHrZXAdcwVqkrCcTvl5SWEEEbIu6VoE1u1kQ9lL3uNNfCgbqCqJLwVo5WG+0gIIUQgkoyINolMsGPkdAVARLy9Y4PpJPGZtRi9zaATFtszbrcQQnQ0SUZEm4y9OsfAgRGd2PRaMoeXdUZIHS4uvZ7IeCNJmE5Sn2rMslZNCCEMkWREtMnYq04QFuUM0NhOYfaX9/eoWiOzv7IvwAhvonLZA7s6PBYhhOgpetDHhOhMYVEu7n1qNSER7gsSksa+MtPvPMiE648HI7wOM/XWo4y+Igdv0nH+ERLv79PvPMiwuYWdHZoQQnRbciBZtFnmsHK+89bHbHo9m61v96e+KhRF1Rg45RRTbz1C9tRTwQ6xQ9z0200MmFTMqmdGUFEYifd8lU5S32oWPriLobMlERFCiNaQZKS70HW6YsOXmGQbCx/YzcIHduN2qqhmLeBpGb3hgEIXvDmGjb0ql7FX5aJpYKsxExbl7lGno4Khiz7FhRCdQJKRLizWeZqx5csZUbWOME8tDjWMg9FT2BZ/GWdCewU7vAuYrS3PH/G4FPYs683GJdkUHYoHIG1QBVNuPsLIy09itnSNbrxGFR+LYdOSbPYs6429zkJ4tJMxV+Yw+aYjJGRJwzyjbNUWtr47gM1vDqCyKBKTRWPA5FNMufUIAyYVS3IixCVCuvZ2Uf1qdvGlgr+h6hoqZz+oPago6Hyc/jX2xc4IYoTGOerN/O+BWeTuSEFRNXTNewih8efeY05zz+NrCInoHo/tzo/78NYvJqMoNCmFr5o0FFXn9r+sY/CMoiBG2D2cORnF81+dR01pWMPRMm/moZo0NI/KlFsOc+WPtktCIkQ3ZrRrrxxY7oLiHaf4UsHfMOnuJokIgAkNBZ0ri54ho/5IkCJsnbd/NYmTu5IAfInIuT/n7U7krV9ODkpsrZW3O5G3fjHlguaA4E1MPG6VVx6awemc6CBF2D24nSr/+eYcastC0Rt6GTVqvF83LhnE+lcGBSlCIURnkmSkCxpfvgxF11os46EAGgqTyj7qzLDapCw/kn0rejdJQs6nayr7V2VRlhfZiZG1zdr/DUFRdFossqIr6JrCxteyOzWu7mbfql5UFkVe2GTxPJ//d1iP6m0khGieJCNdja4zonItJvzPoTChkV2zgxBPXScF1ja7PunjW+rrj2LS2PlJ306IqO3stWYOfp4Z8ANU86js+LCfb6KuuNCOD/oFqFHjVVceyvGtqZ0QkRAimCQZ6WLMuhOr7jA0VkEn3FPTwRFdnNqy0IYjCf4pCtSeCe2EiNquriIUXTP2Ld1lN+O0yfzwllSfDvd7tOxcXf15IYS4eJKMdDFuxYKnFQ+LQw3rwGguXkiEC3QDH+A6hES6Oj6gixDaivgUVcMS4unAaLq3sGgHRvv8dPXnhRDi4kky0tUoKkeixgdMSDQUCsIGUG+O6aTA2mbYvIKApzXAe2pj+Lz8Toio7SLiHGSNKg14ekE1aQydU4BqkvM0LRm+IN9Q02dLqJsBk4o7PiAhRFBJMtIFbU1YFHDOiIrOloTFnRRR22UOKyNz2BlUP/NGVJNGxpCybtFQb/odhwKeXtA8KlNvO9xJEXVPY686gTXMjaK0/LxQVJ2JXzrWbZZ8CyHaTpKRLqgwfBArU24HvEdAztX4++b4xRyOmtjpsbWWosBtf/qCyAR7swmJatKIiLdz25+/6Bb1JIbNy2fG3QcALuzJ0/D75d/bQd+xpZ0eW3cSFuXizr+txWTRm3le6CiKTu/Rp6XhoBCXCJlh10VtTVhMuTWNyWUfklV/9lv26dDebE64ggPRU7pN7ezYtHq+9epS1v53KFvf6Y/TZgHAGuZi/HXHmXXvAaIS7UGO0hhFgUXf2UX64ArWvTiEooPxvuuyRp1h1j0HGDxTCp4Z0X9iCd94aRlr/j2MfSt7+Y44RSfbmHLLYabdfthvVV8hRM8hFVi7gUhXORHuamymCKqtScEO56K47CbKCrz1ROIzarGGde9JnhVF4diqQ4iItxOTbAt2ON1WfZWVquJwzCEeEnrVynwbIXoIoxVY5chIN1BriafWEh94YDdgCfWQOqAq2GG0m7j0euLS64MdxkXRNJ2NG4v54uAaaqyHUHQTCdo4FkyYyrDhcW3apr3WzM6P+rHr097UVYQSGW9n9OIcxlyR2+wckPAYJ+Exzou9KUKIbkqSESEuYfV1Hv7+2kvUJq2AeDOYvInCac9xXjn+Kr123MfX7piDqho/JZi3J4EXvj0be63Ve4GuUF4QSd7uRFY8NYp7n1xN5rDyjrg5QohuSiawCnEJe3zJm9QmrPL+YjrniEXDz/kx/+bF17cY3l55QQT/+cZcHHUWb32ZxhozDf1n7DUW/v31uVQUhbfTLRBC9ASSjAhxiTp0oIqqxA8hQN2UI6b/UFtrbK7WFy8Pwe0wtbj8WddUXDYzG1+TBnhCiLMkGRHiErVq6xbwGDhTa61l5erjAYe5XSrb3+9nqHfP1nf7o3m6x2owIUTHk2REiEtUtbsYVAOrmTQLpVWB66bUV1px2Y1NQ3PUWbHXWAyNFUL0fJKMCHGJMhECuoG3AEXDYgqcOLS2F49ZevcIIRpIMiLEJWpA4ghjR0ZUD2OGDgg4LCzaRfrg8oC9exRVo9eI0m5fY0YI0X4kGRHiErVowUCwx4K/XjseE9aycYwalWBom1NvPRywd4+uqUy99UgrIhVC9HSSjAhxiQoPN3NZyv95T9U0l0B4TOCM5vZpXzG8zdFX5jB8wUlQWqqgqjPq8hxGLDzZtqCFED2SJCNCXMJmz87kmvQ/Yq0Y1/QKXSGyfC5fmfB7Bg6KNrw9VYVbfr+B+d/YQ1iMo8l14TF2Lvv2bm787UZUeecRQpxDKrAKcYmbNDmFSZO/y4H9lZw4eQZVVRg+JI2s3m0rTKaadObev5+Zdx8kZ3sy9ZUhhMc56DvuNGaLNL4TQlxIkhEhBABDh8UydFhsu23PbNUYOKW43bYnhOi55GCpEEIIIYJKkhEhhBBCBJUkI0IIIYQIKklGhBBCCBFUkowIIYQQIqgkGRFCCCFEUEkyIoQQQoigkmRECCGEEEElyYgQQgghgkqSESGEEEIElSQjQgghhAgq6U0jOo3mUTj8RTqFB+IByBhazqDpRaimltrNCyGEuBS0KhlRFIWFCxcyZcokLGYLu3bv5u2338Hj8fj9u9TUVO6843YyMjPIycnlf/97kcrKyouJW3QzB9dk8N6jE6gpDUc1eTu3ah6VqEQb1/xkC0PnFAY5QiGEEMHSqtM077/3Dl+6/jry8ws4duwYDz74AG+/9QYWi6XFv8lIT2fZ0k8YPnwYO3bsZMb06Xz6yUfExsZebOyimziwOpOXvz+TmjNhgDcJ0Tzep15NWSgvPzSTfasygxmiEEKIIGrVkZFvfONbFBYV+X5fvmIlWzZvZO6cOSxbvrzZv/ne977L6dOnuffLX0HTNN54403Wf7GO++//Cn/6058vLnrR5bmdKm8/MgkdQFcuHKAroOi8++tJDJ5RhNmqdXaIQgghgqxVR0bOTUQASkpKcDqdfo9yzJ07l08++RRN837I2O12Vqxcwfx5c1sfreh29q/qha0qpPlEpJGuYKsOYd+qXp0XmBBCiC7jolbT3HH7bSiKwoaNG5u9PjQ0lNTUlAuSmIKCQrKyslrcrtVqJTIy0vcvIiLiYsIUQZS3NxHV7H9OEYBq1sjbndgJEQkhhOhq2ryaZuKECfz85z/j0d8/Rn5+frNjQkJCAKirq2tyeX1dne+65jzw7W/x0EPfb2toogvRDZ910dH9HT0RQgjRY7UpGRkzZjQvvvgCzz33PM8882yL4+rq6vB4PBecxomLi6O6urrFv3v8iSd55tnnfL9HRESwc8e2toQqgix1YCWaO/ABOM2tkjqgsuMDEkII0eW0+jTN6NGjefWVl3nppZf5/WN/8DvW7XZz9OgxBg8a1OTywYMHc+jQoRb/zul0Ultb6/t3/pEV0X2MWnQSS2jg0zSWEA+jF+d2fEBCCCG6nFYlIyNHjuS1V72JyO8e/X2zY664YjF/+fOffL+/8+67XH31VaSkpAAwYMAA5s6dw9vvvHsRYYvuIiTCzaLv7Ao4buGDuwiJcHd8QEIIIbqcVp2meenFFzCZTPTq1Yunn3rSd/lHH3/Mxx9/AsDgQYNYvPhyHvrBDwF49tnnmDhxAitXLGPv3n2MGTOaDz/6iLfeersdb4boyqbccgTNo7D0H6O9p2yUhoqruoJq0lj44G6m3nYkuEEKIYQImlYlIz/92c8xqaYLLj927Ljv548+/oQDBw/6fnc6ndx11z2MGDGCjIwMHvn1bzh8+PBFhCy6o2m3H2bMlTns+KAfBQ3l4DOHljP2qhOExzqDHJ0QQohgUtLSM7t8Y5DIyEiOHD7IX/a8gVOTQ/lCCCFEd2BVzTw08iayBw2htra2xXHStVcIIYQQQSXJiBBCCCGCSpIRIYQQQgSVJCNCCCGECCpJRoQQQggRVJKMCCGEECKoJBkRQgghRFBJMiKEEEKIoJJkRAghhBBBJcmIEEIIIYJKkhEhhBBCBJUkI0IIIYQIKklGhBBCCBFUkowIIYQQIqgkGRFCCCFEUEkyIoQQQoigMgc7gNawqt0qXCGEEOKSZvRzu1t8ukdERADwwPDrgxyJEEIIIVorIiKC2traFq9X0tIz9U6Mp81SUlKoq6szPD4iIoKdO7YxZuz4Vv2d6Hjy2HRd8th0XfLYdF3y2PgXERFBSUmJ3zHd4sgIEPCGtKSurs5vNiaCRx6brksem65LHpuuSx6b5hm5T2QCqxBCCCGCSpIRIYQQQgRVj01GnE4nf/nLX3E6ncEORZxHHpuuSx6brksem65LHpuL120msAohhBCiZ+qxR0aEEEII0T1IMiKEEEKIoJJkRAghhBBB1W3qjLTFyJEj6dunD+s3bODMmTPBDueSd9VVV6IqTfPfvfv2cuJETpAiEucbOnQImRmZ7N+/n8KiomCHc8kbMmQw2QOzm73ugw8/RNdlyl+wDR06hF6Zvaiqrmb3rl3Y7PZgh9Qt9dhkpE+fPrzy8oskJCRw8y23sm7dF8EO6ZL35BOPs2XLVkpLS32XVddUSzLSBSQlJfH8c8/Qq1cWO3fupF+/vrzxxps8/a9ngh3aJW1Q9iAWLrysyWWTJk1CVRU++PDDIEUlAKKjo3n5pf+RlZXFzp27yOyVSVpqKl/7+jdYv35DsMPrdnpkMmKxWHj6qSd56qmn+fnPfxbscMQ5nnjyKdasWRPsMMR5/vOf53HYHUybNh2b3Y6iKMybNzfYYV3y3nv/fd57/33f7yEhIezcsY2XXnpZjooE2V133Um//v2ZOnU61dXVADz15BP86le/ZMGChUGOrvvpkXNGfvKT/+PosaNNXsSiaxgyeBCLFi5k6NAhKIoS7HAEMGPGdMaNHcuvfvWI7xCzruusXLkqyJGJ8y1efDnR0dG8tuT1YIdyyQuxWqmqrPIlIgB5+flYLZYgRtV99bgjI3PnzmHRwstYcNkioqIigx2OOIeu69xwww0UFhUyetQoCguL+NrXv0FeXl6wQ7ukTZ40ibKyMg4dPszUqVOwWkM4ePBgm/tBiY5z6623sH7DBnJzc4MdyiXvvy/8j1mzZvLkE4/z+dq1ZGZkcO01V/OjHz0c7NC6pR6VjCQnJ/OXP/+Jr33tG9TW1koy0sXcc++XWb16DQCRkZG8+spLPP7Pv3PNtdcHN7BLXEJiArW1tbz37jvY7XY8Hjfjx0/gb3//O0888WSwwxMNsrKymDplCt/61gPBDkXgbf62bfsOrrryCiIiIsjMzCQvP5/8gvxgh9Yt9ahk5Oc/+yk5ObmkpaVxzdVXExsXC8CUKVNwudxs2rQpuAFe4hoTEfC+kJ96+hn+8+/niI2NpbKyMmhxXeocDge9e/fmH/94nCWvew//X375Ip579hlWr17N/v0HghyhALjllpuprKzk06VLgx2KAH70wx9wxeLLmTf/Mt+pmscee5SXX3qJGTNnoWlakCPsXnrUnJHDhw9TUlLCokULWbRoIbNnzQJgwoTxjB83NsjRifPV1tYAkJAQH+RILm0nc08C8PEnn/guW7ZsOZqmMWL4iGCFJc6hqio33XQjb771tvQ/6SImT57M2rXrmswZ+fjjT+jbtw/p6elBjKx76lFHRp548qkmv6elpbJw4WX885+Py9LeIEtMTLyg1sviyy+nvKKC3IYPQxEcK1d9xiOP/IoBA/qzc+cugP9v7/5ZEojjOI5/hnsAToVxBYb6DGqTJEG3Wips7Q/UHD2EaoigGvT6M9cQarXVUF01uTiLm4JNRY7CHbQ01Nb2Pe39Gm/6jG+4H7+fJhMJOY6jLneNREI2O6OxeFwXF5fWU/Ct+9ZVKpX89S2VTCoIgl/XF+BvhipGEF3T01Pa3NzQ3d29Pt7flclkVCjktbW1rTAMref9a+12W+WypxOvrNOzc4VBoJXVFfn+s15eifgoWC4WVa/X1Wq1rKfgW6nkqVq5kueV9PToa3xiXOtrqyqVPfX7fet5A2eoX+2NxWLa293R4dGxms2m9Zx/L51Oa35+TqMjI2p3OqrVrtXpcNgrKgr5vHK5WQVhqEajoUqlyn/vCHAcRwcH+7q5udXDw6P1HPzguq6WFhfkuq4+ez35/rN837eeNZCGOkYAAED0DdUBVgAAMHiIEQAAYIoYAQAApogRAABgihgBAACmiBEAAGCKGAEAAKaIEQAAYIoYAQAApogRAABgihgBAACmiBEAAGDqC93KwiGFPNHcAAAAAElFTkSuQmCC"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#1 err:0.6666666666666666\n",
      "[[0.28677805]\n",
      " [5.61017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#2 err:0.6666666666666666\n",
      "[[ 0.28677805]\n",
      " [11.30017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#3 err:0.6666666666666666\n",
      "[[ 0.28677805]\n",
      " [16.99017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#4 err:0.6666666666666666\n",
      "[[ 0.28677805]\n",
      " [22.68017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#5 err:0.6666666666666666\n",
      "[[ 0.28677805]\n",
      " [28.37017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#6 err:0.6666666666666666\n",
      "[[ 0.28677805]\n",
      " [34.06017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#7 err:0.6666666666666666\n",
      "[[ 0.28677805]\n",
      " [39.75017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#8 err:0.6666666666666666\n",
      "[[ 0.28677805]\n",
      " [45.44017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#9 err:0.6666666666666666\n",
      "[[ 0.28677805]\n",
      " [51.13017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#10 err:0.6666666666666666\n",
      "[[ 0.28677805]\n",
      " [56.82017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#11 err:0.6666666666666666\n",
      "[[ 0.28677805]\n",
      " [62.51017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#12 err:0.6666666666666666\n",
      "[[ 0.28677805]\n",
      " [68.20017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#13 err:0.6666666666666666\n",
      "[[ 0.28677805]\n",
      " [73.89017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#14 err:0.6666666666666666\n",
      "[[ 0.28677805]\n",
      " [79.58017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#15 err:0.6666666666666666\n",
      "[[ 0.28677805]\n",
      " [85.27017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#16 err:0.6666666666666666\n",
      "[[ 0.28677805]\n",
      " [90.96017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#17 err:0.6666666666666666\n",
      "[[ 0.28677805]\n",
      " [96.65017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#18 err:0.6666666666666666\n",
      "[[  0.28677805]\n",
      " [102.34017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#19 err:0.6666666666666666\n",
      "[[  0.28677805]\n",
      " [108.03017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#20 err:0.6666666666666666\n",
      "[[  0.28677805]\n",
      " [113.72017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#21 err:0.6666666666666666\n",
      "[[  0.28677805]\n",
      " [119.41017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#22 err:0.6666666666666666\n",
      "[[  0.28677805]\n",
      " [125.10017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#23 err:0.6666666666666666\n",
      "[[  0.28677805]\n",
      " [130.79017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#24 err:0.6666666666666666\n",
      "[[  0.28677805]\n",
      " [136.48017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#25 err:0.6666666666666666\n",
      "[[  0.28677805]\n",
      " [142.17017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.29 = -1.0 * 2.9 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.43 = -1.0 * 4.3 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.58 = -1.0 * 5.8 * 0.1\n",
      "-0.40 = -1.0 * 4.0 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.39 = -1.0 * 3.9 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.57 = -1.0 * 5.7 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.36 = -1.0 * 3.6 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.47 = -1.0 * 4.7 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.54 = -1.0 * 5.4 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.52 = -1.0 * 5.2 * 0.1\n",
      "-0.41 = -1.0 * 4.1 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.42 = -1.0 * 4.2 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.55 = -1.0 * 5.5 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.49 = -1.0 * 4.9 * 0.1\n",
      "-0.31 = -1.0 * 3.1 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.34 = -1.0 * 3.4 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.45 = -1.0 * 4.5 * 0.1\n",
      "-0.23 = -1.0 * 2.3 * 0.1\n",
      "-0.44 = -1.0 * 4.4 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.35 = -1.0 * 3.5 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.48 = -1.0 * 4.8 * 0.1\n",
      "-0.30 = -1.0 * 3.0 * 0.1\n",
      "-0.51 = -1.0 * 5.1 * 0.1\n",
      "-0.38 = -1.0 * 3.8 * 0.1\n",
      "-0.46 = -1.0 * 4.6 * 0.1\n",
      "-0.32 = -1.0 * 3.2 * 0.1\n",
      "-0.53 = -1.0 * 5.3 * 0.1\n",
      "-0.37 = -1.0 * 3.7 * 0.1\n",
      "-0.50 = -1.0 * 5.0 * 0.1\n",
      "-0.33 = -1.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 7.0 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.9 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 6.5 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 3.3 * 0.1\n",
      "0.00 = 0.0 * 4.9 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.2 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.0 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.2 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.9 * 0.1\n",
      "0.00 = 0.0 * 3.2 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.4 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.8 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.4 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.4 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 6.0 * 0.1\n",
      "0.00 = 0.0 * 3.4 * 0.1\n",
      "0.00 = 0.0 * 6.7 * 0.1\n",
      "0.00 = 0.0 * 3.1 * 0.1\n",
      "0.00 = 0.0 * 6.3 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.5 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 6.1 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.8 * 0.1\n",
      "0.00 = 0.0 * 2.6 * 0.1\n",
      "0.00 = 0.0 * 5.0 * 0.1\n",
      "0.00 = 0.0 * 2.3 * 0.1\n",
      "0.00 = 0.0 * 5.6 * 0.1\n",
      "0.00 = 0.0 * 2.7 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 3.0 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 6.2 * 0.1\n",
      "0.00 = 0.0 * 2.9 * 0.1\n",
      "0.00 = 0.0 * 5.1 * 0.1\n",
      "0.00 = 0.0 * 2.5 * 0.1\n",
      "0.00 = 0.0 * 5.7 * 0.1\n",
      "0.00 = 0.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.71 = 1.0 * 7.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.76 = 1.0 * 7.6 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.49 = 1.0 * 4.9 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.73 = 1.0 * 7.3 * 0.1\n",
      "0.29 = 1.0 * 2.9 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.36 = 1.0 * 3.6 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.57 = 1.0 * 5.7 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.22 = 1.0 * 2.2 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.56 = 1.0 * 5.6 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.72 = 1.0 * 7.2 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.74 = 1.0 * 7.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.79 = 1.0 * 7.9 * 0.1\n",
      "0.38 = 1.0 * 3.8 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.28 = 1.0 * 2.8 * 0.1\n",
      "0.61 = 1.0 * 6.1 * 0.1\n",
      "0.26 = 1.0 * 2.6 * 0.1\n",
      "0.77 = 1.0 * 7.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.64 = 1.0 * 6.4 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.60 = 1.0 * 6.0 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.69 = 1.0 * 6.9 * 0.1\n",
      "0.31 = 1.0 * 3.1 * 0.1\n",
      "0.58 = 1.0 * 5.8 * 0.1\n",
      "0.27 = 1.0 * 2.7 * 0.1\n",
      "0.68 = 1.0 * 6.8 * 0.1\n",
      "0.32 = 1.0 * 3.2 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.33 = 1.0 * 3.3 * 0.1\n",
      "0.67 = 1.0 * 6.7 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.63 = 1.0 * 6.3 * 0.1\n",
      "0.25 = 1.0 * 2.5 * 0.1\n",
      "0.65 = 1.0 * 6.5 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "0.62 = 1.0 * 6.2 * 0.1\n",
      "0.34 = 1.0 * 3.4 * 0.1\n",
      "0.59 = 1.0 * 5.9 * 0.1\n",
      "0.30 = 1.0 * 3.0 * 0.1\n",
      "5.689999999999995\n",
      "#26 err:0.6666666666666666\n",
      "[[  0.28677805]\n",
      " [147.86017307]]\n",
      "[[0.]]\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "cannot reshape array of size 2 into shape (300,300)",
     "output_type": "error",
     "traceback": [
      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
      "\u001B[31mValueError\u001B[39m                                Traceback (most recent call last)",
      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[6]\u001B[39m\u001B[32m, line 3\u001B[39m\n\u001B[32m      1\u001B[39m train_sln = SLN(\u001B[32m2\u001B[39m, \u001B[32m1\u001B[39m)\n\u001B[32m      2\u001B[39m \u001B[38;5;66;03m#np.array([T[0]])\u001B[39;00m\n\u001B[32m----> \u001B[39m\u001B[32m3\u001B[39m train_sln.delta_train(two_features, T, \u001B[32m0.1\u001B[39m, \u001B[32m100\u001B[39m, \u001B[32m0.0001\u001B[39m)\n",
      "\u001B[36mFile \u001B[39m\u001B[32m~/dev/NNW/Übung 3/SLN.py:42\u001B[39m, in \u001B[36mSLN.delta_train\u001B[39m\u001B[34m(self, X, T, eta, maxIter, maxErrorRate)\u001B[39m\n\u001B[32m     40\u001B[39m \u001B[38;5;66;03m# if (it % 20) == 0:\u001B[39;00m\n\u001B[32m     41\u001B[39m \u001B[38;5;28mprint\u001B[39m(\u001B[33m'\u001B[39m\u001B[33m#\u001B[39m\u001B[38;5;132;01m{}\u001B[39;00m\u001B[33m err:\u001B[39m\u001B[38;5;132;01m{}\u001B[39;00m\u001B[38;5;130;01m\\n\u001B[39;00m\u001B[38;5;132;01m{}\u001B[39;00m\u001B[38;5;130;01m\\n\u001B[39;00m\u001B[38;5;132;01m{}\u001B[39;00m\u001B[33m'\u001B[39m.format(it, err, \u001B[38;5;28mself\u001B[39m._W, \u001B[38;5;28mself\u001B[39m._b))\n\u001B[32m---> \u001B[39m\u001B[32m42\u001B[39m \u001B[30;43mnnwplot\u001B[39;49m\u001B[30;43m.\u001B[39;49m\u001B[30;43mplotTwoFeatures\u001B[39;49m\u001B[30;43m(\u001B[39;49m\u001B[30;43mX\u001B[39;49m\u001B[30;43m,\u001B[39;49m\u001B[30;43m \u001B[39;49m\u001B[30;43mT\u001B[39;49m\u001B[30;43m,\u001B[39;49m\u001B[30;43m \u001B[39;49m\u001B[30;43mself\u001B[39;49m\u001B[30;43m.\u001B[39;49m\u001B[30;43mneuron\u001B[39;49m\u001B[30;43m)\u001B[39;49m\n\u001B[32m     43\u001B[39m plt.pause(\u001B[32m0.05\u001B[39m)  \u001B[38;5;66;03m# warte auf GUI event loop (je nach python Version notwendig oder nicht)\u001B[39;00m\n\u001B[32m     44\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m err <= maxErrorRate:\n",
      "\u001B[36mFile \u001B[39m\u001B[32m~/dev/NNW/Übung 3/nnwplot.py:40\u001B[39m, in \u001B[36mplotTwoFeatures\u001B[39m\u001B[34m(X, T, pred_func)\u001B[39m\n\u001B[32m     38\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m Z.ndim>\u001B[32m1\u001B[39m \u001B[38;5;129;01mand\u001B[39;00m Z.shape[\u001B[32m0\u001B[39m]>\u001B[32m1\u001B[39m: \u001B[38;5;66;03m# onehot? -> convert\u001B[39;00m\n\u001B[32m     39\u001B[39m     Z=Z.argmax(\u001B[32m0\u001B[39m)\n\u001B[32m---> \u001B[39m\u001B[32m40\u001B[39m Z = \u001B[30;43mZ\u001B[39;49m\u001B[30;43m.\u001B[39;49m\u001B[30;43mreshape\u001B[39;49m\u001B[30;43m(\u001B[39;49m\u001B[30;43mxs\u001B[39;49m\u001B[30;43m.\u001B[39;49m\u001B[30;43mshape\u001B[39;49m\u001B[30;43m)\u001B[39;49m\n\u001B[32m     42\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m T.ndim>\u001B[32m1\u001B[39m \u001B[38;5;129;01mand\u001B[39;00m T.shape[\u001B[32m0\u001B[39m]>\u001B[32m1\u001B[39m: \u001B[38;5;66;03m# onehot? -> convert\u001B[39;00m\n\u001B[32m     43\u001B[39m     T=T.argmax(\u001B[32m0\u001B[39m)\n",
      "\u001B[31mValueError\u001B[39m: cannot reshape array of size 2 into shape (300,300)"
     ]
    }
   ],
   "execution_count": 6
  },
  {
   "metadata": {},
   "cell_type": "code",
   "source": "",
   "id": "3696281aa04dcfe9",
   "outputs": [],
   "execution_count": null
  }
 ],
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