NMNIST_STDP_SpiNNaker.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %pip install seaborn\n",
    "# %pip install opencv-python\n",
    "# %pip install timer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detected PyNN version 0.9.4 and Neo version 0.6.1\n",
      "9223372036854775807\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-03-31 00:41:29 INFO: Read cfg files: /home/jovyan/sPyNNaker/lib/python3.6/site-packages/spinn_front_end_common/interface/spinnaker.cfg, /home/jovyan/sPyNNaker/lib/python3.6/site-packages/spynnaker/pyNN/spynnaker.cfg, /home/jovyan/.spynnaker.cfg\n",
      "2020-03-31 00:41:29 INFO: Will search these locations for binaries: /home/jovyan/sPyNNaker/lib/python3.6/site-packages/spinn_front_end_common/common_model_binaries : /home/jovyan/sPyNNaker/lib/python3.6/site-packages/spynnaker/pyNN/model_binaries\n",
      "2020-03-31 00:41:29 INFO: Setting time scale factor to 10.\n",
      "2020-03-31 00:41:29 INFO: Setting machine time step to 1000 micro-seconds.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Event-based vision module imported\n",
      "['/home/jovyan/sPyNNaker/lib/python3.6/site-packages/spinn_front_end_common/interface/spinnaker.cfg', '/home/jovyan/sPyNNaker/lib/python3.6/site-packages/spynnaker/pyNN/spynnaker.cfg', '/home/jovyan/.spynnaker.cfg']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pyNN.spiNNaker as p\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.cm as cmap\n",
    "from mpl_toolkits.axes_grid1 import ImageGrid\n",
    "import pyNN.utility.plotting as plot\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import os\n",
    "import sys\n",
    "import random\n",
    "%matplotlib inline\n",
    "\n",
    "# Printing max length of array that can be created\n",
    "print(sys.maxsize)\n",
    "\n",
    "# Importing functions for NMNIST Data\n",
    "import eventvision as ev\n",
    "\n",
    "# Setting up simulation\n",
    "p.setup(timestep=1,time_scale_factor=10)\n",
    "# p.set_number_of_neurons_per_core(neuron_type=p.IF_cond_exp(),max_permitted=150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Important Variables\n",
    "n_excitatory_neurons = 100\n",
    "excitatory_neuron_parameters = {\n",
    "    'v_rest':   -65.0,  # Resting membrane potential in mV.\n",
    "    'cm':         1.0,  # Capacity of the membrane in nF\n",
    "    'tau_m':     100.0,  # Membrane time constant in ms.\n",
    "    'tau_refrac': 5.0,  # Duration of refractory period in ms.\n",
    "    'tau_syn_E':  1.0,  # Decay time of the excitatory synaptic conductance in ms.\n",
    "    'tau_syn_I':  2.0,  # Decay time of the inhibitory synaptic conductance in ms.\n",
    "    'e_rev_E':    0.0,  # Reversal potential for excitatory input in mV\n",
    "    'e_rev_I':  -100.0,  # Reversal potential for inhibitory input in mV\n",
    "    'v_thresh': -52.0,  # Spike threshold in mV.\n",
    "    'v_reset':  -65.0,  # Reset potential after a spike in mV.\n",
    "    'i_offset':   0.0,  # Offset current in nA\n",
    "}\n",
    "n_inhibitory_neurons = n_excitatory_neurons\n",
    "inhibitory_neuron_parameters = {\n",
    "    'v_rest':   -60.0,  # Resting membrane potential in mV.\n",
    "    'cm':         1.0,  # Capacity of the membrane in nF\n",
    "    'tau_m':     10.0,  # Membrane time constant in ms.\n",
    "    'tau_refrac': 2.0,  # Duration of refractory period in ms.\n",
    "    'tau_syn_E':  1.0,  # Decay time of the excitatory synaptic conductance in ms.\n",
    "    'tau_syn_I':  2.0,  # Decay time of the inhibitory synaptic conductance in ms.\n",
    "    'e_rev_E':    0.0,  # Reversal potential for excitatory input in mV\n",
    "    'e_rev_I':  -85.0,  # Reversal potential for inhibitory input in mV\n",
    "    'v_thresh': -40.0,  # Spike threshold in mV.\n",
    "    'v_reset':  -45.0,  # Reset potential after a spike in mV.\n",
    "    'i_offset':   0.0,  # Offset current in nA\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "training_data_lists = [os.listdir(os.getcwd()+\"/data/train/\"+str(i)+\"/\") for i in range(10)]\n",
    "training_class_lens = [len(i) for i in training_data_lists]\n",
    "num_classes = 3 # Number of Classes\n",
    "# classes = [i for i in range(num_classes)]\n",
    "classes = [5,6,9] # i.e. digits 5,6,9\n",
    "time_per_exp = 750 # Time in ms per example\n",
    "num_examples_seen = {c:0 for c in classes}\n",
    "batch_size = 10\n",
    "# Simulation for batch_size*10 examples will be done together\n",
    "total_examples = sum(training_class_lens)\n",
    "class_history = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Class is 6\n",
      "305842\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPsAAAD5CAYAAADhukOtAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8li6FKAAANCklEQVR4nO3dUawc5XmH8eetMSTCSOBALcd2CnGQIhQ1DkIWUVGUEhFRVMkgRUAuIl+gOImCVCp6YVGpoVIvkqoOyUUFgmLVrdJgSkKxKpTGtZBQL0owxBgDbWOQKXaMTQQomItQm7cXO6c92GePj3dnZvf4fX7S0ZmdmT3fN8fn75n9vp19IzORdPb7rUl3QFI/DLtUhGGXijDsUhGGXSrCsEtFnDPOkyPieuD7wBLgbzLz2/Ptv2TZ+XnO8uXjNClpHsfffJMTx96NubaNHPaIWAL8NXAdcBB4OiJ2ZOaLw55zzvLlfPTOO0ZtUtJp/HLL94ZuG+cyfj2wPzNfycz3gIeADWP8PEkdGifsq4DXZj0+2KyTNIU6H6CLiE0RsTsidp849m7XzUkaYpywHwLWzHq8uln3AZl5f2ZelZlXLVl2/hjNSRrHOGF/Grg8Ii6LiHOBW4Ed7XRLUttGHo3PzOMRcTvwLwym3rZm5gut9UxSq8aaZ8/Mx4HHW+qLpA75DjqpCMMuFWHYpSIMu1SEYZeKMOxSEYZdKsKwS0UYdqkIwy4VMdbbZdvy8i33Dd22dvvXe+zJqYb1bdL9ks6UZ3apCMMuFWHYpSIMu1SEYZeKMOxSEVMx9TbN01jT3DfpTHhml4ow7FIRhl0qwrBLRRh2qYhx67MfAN4BTgDHM/OqNjolqX1tTL39fmb+qoWfI6lDXsZLRYwb9gR+GhHPRMSmNjokqRvjXsZfk5mHIuK3gZ0R8R+Z+eTsHZr/BDYBLLnoojGbkzSqsc7smXmo+X4UeBRYP8c+1meXpsDIYY+I8yPigpll4IvAvrY6Jqld41zGrwAejYiZn/MPmfmTVnolqXUjhz0zXwE+3WJfJHXIqTepCMMuFWHYpSIMu1SEYZeKMOxSEYZdKsKwS0UYdqkIwy4VYdilIgy7VIRhl4ow7FIRhl0qwrBLRRh2qYipqM+ufnzij/+9tZ+1/56rW/tZ6odndqkIwy4VYdilIgy7VIRhl4o47Wh8RGwF/hA4mpmfatYtB7YDlwIHgJsz863uunmql2+5b+i2tdu/PpXtT7rP8xk2ut7mCL4mayFn9r8Frj9p3WZgV2ZeDuxqHkuaYqcNe1OV9c2TVm8AtjXL24AbW+6XpJaN+pp9RWYebpZfZ1D3TdIUG3uALjMTyGHbI2JTROyOiN0njr07bnOSRjRq2I9ExEqA5vvRYTtan12aDqOGfQewsVneCDzWTnckdSUGV+Hz7BDxQ+DzwMXAEeBbwD8BDwMfA15lMPV28iDeKc772Jr86J13jNnl6Tdsim3S02s6+/1yy/f4zX+/FnNtO+08e2Z+ecimL4zVK0m98h10UhGGXSrCsEtFGHapCD+WqgNtjroPuxFllI+FmuYbcdQ9z+xSEYZdKsKwS0UYdqkIwy4V4Wh8IW2OuDuyv/h4ZpeKMOxSEYZdKsKwS0UYdqkIwy4V4dTblGvzhpc2p8ScXlt8PLNLRRh2qQjDLhVh2KUiDLtUxKj12e8Gvgq80ex2V2Y+3lUnJ2laCz6cbTeitPnxW5rbqPXZAe7JzHXN11kZdOlsMmp9dkmLzDiv2W+PiL0RsTUiLhq2kyWbpekwatjvBdYC64DDwJZhO1qyWZoOI4U9M49k5onMfB94AFjfbrcktW2ksEfEylkPbwL2tdMdSV1ZyNTb/9Vnj4iDDOqzfz4i1gEJHAC+1mEfJ2oxTmNN2rBptEn/rOrTeKPWZ3+wg75I6pDvoJOKMOxSEYZdKsKwS0X4sVSLVF+zBKOMhvcx6j1Kv+Z7ToWRes/sUhGGXSrCsEtFGHapCMMuFeFovIDF97FQo/SrzffZL0ae2aUiDLtUhGGXijDsUhGGXSrCsEtFOPV2FhplGq2PKbb5qti0yY8Sm5tndqkIwy4VYdilIgy7VIRhl4pYSJGINcDfASsYFIW4PzO/HxHLge3ApQwKRdycmW9119XpMs310Sd980ofNe1HGdmf7/ey2G4EGsVCzuzHgTsz8wrgauCbEXEFsBnYlZmXA7uax5Km1ELqsx/OzGeb5XeAl4BVwAZgW7PbNuDGrjopaXxn9Jo9Ii4FPgM8BazIzMPNptcZXObP9Rzrs0tTYMFhj4hlwI+AOzLz17O3ZWYyeD1/CuuzS9NhQWGPiKUMgv6DzPxxs/rITOnm5vvRbrooqQ2nDXtEBIOqrS9l5ndnbdoBbGyWNwKPtd89SW1ZyI0wvwd8BXg+IvY06+4Cvg08HBG3Aa8CN3fTRS02fUw9jtJG9c+gW0h99n8DYsjmL7TbHUld8R10UhGGXSrCsEtFGHapCD+WakSTro/e9g0afdy8Ms3OphtehvHMLhVh2KUiDLtUhGGXijDsUhGOxvdolPdmVxglhn5mHar8LofxzC4VYdilIgy7VIRhl4ow7FIRhl0qwqm3Dgy9qYTJ3lQy6So21T8WatI8s0tFGHapCMMuFWHYpSIMu1TEOPXZ7wa+CrzR7HpXZj7eVUfPBpMeDZ+vjUmPlFe/SaUPC5l6m6nP/mxEXAA8ExE7m233ZOZfddc9SW1ZSEWYw8DhZvmdiJipzy5pERmnPjvA7RGxNyK2RsRFQ55jfXZpCoxTn/1eYC2wjsGZf8tcz7M+uzQdRq7PnplHMvNEZr4PPACs766bksY1cn32iFg5a7ebgH3td09SW8apz/7liFjHYDruAPC1Tnq4CA2b4ppv6q2PiixtTq9Neqps0tOYi9E49dmdU5cWEd9BJxVh2KUiDLtUhGGXivBjqaZcm6P0842g91UHfpj5Rtfn4oj7mfPMLhVh2KUiDLtUhGGXijDsUhGGXSrCqbcejTJdNGxK6kynqk7rlrlXr90+99Rb6+0P4RRbezyzS0UYdqkIwy4VYdilIgy7VISj8VNulI+4alOb7TiyPlme2aUiDLtUhGGXijDsUhGGXSpiIfXZPwQ8CZzX7P9IZn4rIi4DHgI+AjwDfCUz3+uys/p/jmzrTC3kzP4b4NrM/DSDIo7XR8TVwHcY1Gf/BPAWcFt33ZQ0rtOGPQeONQ+XNl8JXAs80qzfBtzYSQ8ltWKhVVyXNHXejgI7gZeBtzPzeLPLQWDVkOdan12aAgsKe1OaeR2wmkFp5k8utAHrs0vT4YxG4zPzbeAJ4LPAhRExM8C3GjjUct8ktWgh9dkviYgLm+UPA9cBLzEI/Zea3TYCj3XVSUnjW8iNMCuBbRGxhMF/Dg9n5j9HxIvAQxHxF8DPgQc77KekMS2kPvte4DNzrH+Fwet3SYuA76CTijDsUhGGXSrCsEtFGHapCMMuFWHYpSIMu1SEYZeKMOxSEYZdKsKwS0UYdqkIwy4VYdilIgy7VIRhl4qIzOyvsYg3gFebhxcDv+qt8VPZvu2fje3/TmZeMteGXsP+gYYjdmfmVRNp3PZtv2D7XsZLRRh2qYhJhv3+CbZt+7Zfrv2JvWaX1C8v46UiJhL2iLg+Iv4zIvZHxOYJtH8gIp6PiD0RsbuH9rZGxNGI2Ddr3fKI2BkRv2i+X9Rz+3dHxKHmd7AnIm7oqO01EfFERLwYES9ExB8163s5/nna7+v4PxQRP4uI55r2/7xZf1lEPNVkYHtEnNtF+x+Qmb1+AUsYlHz+OHAu8BxwRc99OABc3GN7nwOuBPbNWveXwOZmeTPwnZ7bvxv4kx6OfSVwZbN8AfBfwBV9Hf887fd1/AEsa5aXAk8BVwMPA7c26+8DvtF1XyZxZl8P7M/MVzLzPeAhYMME+tGbzHwSePOk1RuAbc3yNuDGntvvRWYezsxnm+V3GBQFXUVPxz9P+73IgWPNw6XNVwLXAo806zv9958xibCvAl6b9fggPf7yGwn8NCKeiYhNPbc9Y0VmHm6WXwdWTKAPt0fE3uYyv7OXETMi4lIGdQOfYgLHf1L70NPxR8SSiNgDHAV2MriyfTszjze79JKBqgN012TmlcAfAN+MiM9NsjM5uJbre1rkXmAtsA44DGzpsrGIWAb8CLgjM389e1sfxz9H+70df2aeyMx1wGoGV7af7Kqt+Uwi7IeANbMer27W9SYzDzXfjwKPMplqtEciYiVA8/1on41n5pHmj/B94AE6/B1ExFIGQftBZv64Wd3b8c/Vfp/HPyMz3waeAD4LXBgRM1WUe8nAJML+NHB5Mxp5LnArsKOvxiPi/Ii4YGYZ+CKwb/5ndWIHsLFZ3gg81mfjM0Fr3ERHv4OICOBB4KXM/O6sTb0c/7D2ezz+SyLiwmb5w8B1DMYNngC+1OzWz79/1yOAQ0Yob2AwKvoy8Kc9t/1xBjMAzwEv9NE+8EMGl4r/w+D12W3AR4BdwC+AfwWW99z+3wPPA3sZBG9lR21fw+ASfS+wp/m6oa/jn6f9vo7/d4GfN+3sA/5s1t/hz4D9wD8C53X9d+g76KQiqg7QSeUYdqkIwy4VYdilIgy7VIRhl4ow7FIRhl0q4n8BH6bJCd2cmEoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPsAAAD5CAYAAADhukOtAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8li6FKAAANp0lEQVR4nO3dYahk9XnH8e+TVZOggm61y7raaowQpDQbkcVQCanBaKWgQlDzouwLyaYlQg32hVhoTekLU2pMXhSDVum2pHFtEnEpksSKEPqi6mrWddW2WWVF13XXoBIV2nTXpy/mXLjqndl7z5xzZu59vh+43DNnzpn//8ze356Z/3/OPJGZSFr7PjLrDkgahmGXijDsUhGGXSrCsEtFGHapiOOm2TkiLge+A6wD/j4zb5u0/bqTTszj1q+fpklJExx54w2OvvNuLHVf67BHxDrg74BLgVeAJyJiZ2Y+N26f49av54ybbmzbpKRjePX2b4+9b5qX8VuAfZn5Ymb+GrgPuHKKx5PUo2nCvgl4edHtV5p1kuZQ7wN0EbEtInZFxK6j77zbd3OSxpgm7AeAsxbdPrNZ9z6ZeVdmXpiZF6476cQpmpM0jWnC/gRwXkScExEnANcBO7vplqSutR6Nz8wjEXED8BNGU2/3ZuaznfVMUqemmmfPzIeAhzrqi6Qe+Qk6qQjDLhVh2KUiDLtUxFQDdNJSXrj2u0uuP3fHHw/cEy3mmV0qwrBLRRh2qQjDLhVh2KUiHI0X0O0IuqPu88kzu1SEYZeKMOxSEYZdKsKwS0UYdqkIp94ErHy67JNf/49O2993x0WdPp4+zDO7VIRhl4ow7FIRhl0qwrBLRUxbn30/8DZwFDiSmRd20SkNr+vR9b7bd/R+5bqYevv9zPxlB48jqUe+jJeKmDbsCfw0Ip6MiG1ddEhSP6Z9GX9xZh6IiN8EHo6I/8zMny3eoPlPYBvAulNPnbI5SW1NdWbPzAPN78PAA8CWJbaxPrs0B1qf2SPiROAjmfl2s/xF4K8665nmQptRb4tEzKdpXsZvAB6IiIXH+efM/HEnvZLUudZhz8wXgU932BdJPXLqTSrCsEtFGHapCMMuFeHXUq1BQ1zUMrGNa5dePW5KDpyWG4JndqkIwy4VYdilIgy7VIRhl4pwNH6VGuprpMaOoI8ZcZ/EEffZ8swuFWHYpSIMu1SEYZeKMOxSEYZdKsKptzWo22opu1e8x1qaYltLF+94ZpeKMOxSEYZdKsKwS0UYdqmIY47GR8S9wB8ChzPzd5p164EdwNnAfuCazHyzv27WNe6Cl67rk08adV7KpJHoLivCDHXBz7jnc7WNuE+ynDP7PwCXf2DdzcAjmXke8EhzW9IcO2bYm6qsb3xg9ZXA9mZ5O3BVx/2S1LG279k3ZObBZvk1RnXfJM2xqQfoMjOBHHd/RGyLiF0RsevoO+9O25ykltqG/VBEbARofh8et6H12aX50DbsO4GtzfJW4MFuuiOpL8uZevs+8HngtIh4BfhL4Dbg/oi4HngJuKbPTurD2lygsdLptUmP1WafoabR2mjTt66nP/t2zLBn5pfH3PWFjvsiqUd+gk4qwrBLRRh2qQjDLhXh11LNiZVe8HLujpWPBA91UccQo+6TRsKHGvUf6iKlrnhml4ow7FIRhl0qwrBLRRh2qQhH4+fET15duhjDuFH3NiPO49oYtTOfn2dvM7I96TjHueyMzSveZ7XxzC4VYdilIgy7VIRhl4ow7FIRhl0qwqm3NajLi2e61GYarc1XabUxbrquzZTcvF4g45ldKsKwS0UYdqkIwy4VYdilItrWZ78V+ArwerPZLZn5UF+dnKUua42vJbOuDz+Uefj6q660rc8OcEdmbm5+1mTQpbWkbX12SavMNO/Zb4iIPRFxb0ScOm4jSzZL86Ft2O8EzgU2AweB28dtaMlmaT60CntmHsrMo5n5HnA3sKXbbknqWquwR8TGRTevBvZ20x1JfWlbn/3zEbEZSGA/8NUe+zhTXU6xzev0EkyYYmS2x1/l+R9C2/rs9/TQF0k98hN0UhGGXSrCsEtFGHapCL+Was6NG0G+7Ovjvy6pzQUaYx/vjhU/1NyOercZ2V9tF7tM4pldKsKwS0UYdqkIwy4VYdilIhyNH9Ck0eBZj2Cv9GumZv0590najKCPO/42X0s162IQ43hml4ow7FIRhl0qwrBLRRh2qQjDLhXh1Nsq1WZ6p82U1Nh9rh2/z7xecNL1NNq8TrGN45ldKsKwS0UYdqkIwy4VYdilIiIzJ28QcRbwj8AGRkUh7srM70TEemAHcDajQhHXZOabkx7ro791Vp5x040ddHvt6fJCmC4vOFlLX8s0ybiR9Xm+4Gepvm257GV2Pf0/sdT2yzmzHwFuyszzgYuAr0XE+cDNwCOZeR7wSHNb0pxaTn32g5n5VLP8NvA8sAm4EtjebLYduKqvTkqa3ores0fE2cBngMeADZl5sLnrNUYv85fax/rs0hxYdtgj4iTgh8CNmfmrxffl6I3/km/+rc8uzYdlhT0ijmcU9O9l5o+a1YcWSjc3vw/300VJXThm2CMiGFVtfT4zv7Xorp3A1mZ5K/Bg992T1JXlXAjze8AfAc9ExO5m3S3AbcD9EXE98BJwTT9d1EqNrbU+0JTQrHV6kdCEC36GMGnqb6l/z1ff/PbY7ZdTn/3fgSXn7YAvHGt/SfPBT9BJRRh2qQjDLhVh2KUi/FqqQlpd1MEwF9V0W5Fm94T7xhgz6j7rGYwu2/fMLhVh2KUiDLtUhGGXijDsUhGOxs+JlY66DlXPvdN2Jn7OvMUI+gq1Gdle6WfT55lndqkIwy4VYdilIgy7VIRhl4ow7FIRTr2tUpOmfYaalqtgtU2vTeKZXSrCsEtFGHapCMMuFWHYpSKOORo/oT77rcBXgNebTW/JzIf66uha12Vhh3H7rMZR+jbHspZG0Lu0nKm3hfrsT0XEycCTEfFwc98dmfm3/XVPUleWUxHmIHCwWX47Ihbqs0taRaapzw5wQ0TsiYh7I+LUMftYn12aA9PUZ78TOBfYzOjMf/tS+1mfXZoPreuzZ+ahzDyame8BdwNb+uumpGm1rs8eERsXbXY1sLf77knqyjT12b8cEZsZTcftB77aSw+LGGK6qOvvYJtlO06vrdw09dmdU5dWET9BJxVh2KUiDLtUhGGXivBrqQR0eyFOG46u988zu1SEYZeKMOxSEYZdKsKwS0UYdqkIp94ErHzqy++AW308s0tFGHapCMMuFWHYpSIMu1SEo/FqxRH31cczu1SEYZeKMOxSEYZdKsKwS0UspyLMxyLi8Yh4OiKejYhvNOvPiYjHImJfROyIiBP6766ktpZzZv9f4JLM/DSjIo6XR8RFwDcZ1Wf/JPAmcH1/3ZQ0rWOGPUfeaW4e3/wkcAnwg2b9duCqXnooqRPLreK6rqnzdhh4GHgBeCszjzSbvAJsGrOv9dmlObCssDelmTcDZzIqzfyp5TZgfXZpPqxoND4z3wIeBT4LnBIRCx+3PRM40HHfJHVoOaPxp0fEKc3yx4FLgecZhf5LzWZbgQf76qSk6S3nQpiNwPaIWMfoP4f7M/NfI+I54L6I+Gvg58A9PfZT0pSWU599D/CZJda/yOj9u6RVwE/QSUUYdqkIwy4VYdilIgy7VIRhl4ow7FIRhl0qwrBLRRh2qQjDLhVh2KUiDLtUhGGXijDsUhGGXSrCsEtFRGYO11jE68BLzc3TgF8O1viH2b7tr8X2fzszT1/qjkHD/r6GI3Zl5oUzadz2bb9g+76Ml4ow7FIRswz7XTNs2/Ztv1z7M3vPLmlYvoyXiphJ2CPi8oj4r4jYFxE3z6D9/RHxTETsjohdA7R3b0Qcjoi9i9atj4iHI+IXze9TB27/1og40DwHuyPiip7aPisiHo2I5yLi2Yj402b9IMc/of2hjv9jEfF4RDzdtP+NZv05EfFYk4EdEXFCH+2/T2YO+gOsY1Ty+RPACcDTwPkD92E/cNqA7X0OuADYu2jd3wA3N8s3A98cuP1bgT8b4Ng3Ahc0yycD/w2cP9TxT2h/qOMP4KRm+XjgMeAi4H7gumb9d4E/6bsvszizbwH2ZeaLmflr4D7gyhn0YzCZ+TPgjQ+svhLY3ixvB64auP1BZObBzHyqWX6bUVHQTQx0/BPaH0SOvNPcPL75SeAS4AfN+l7//RfMIuybgJcX3X6FAZ/8RgI/jYgnI2LbwG0v2JCZB5vl14ANM+jDDRGxp3mZ39vbiAURcTajuoGPMYPj/0D7MNDxR8S6iNgNHAYeZvTK9q3MPNJsMkgGqg7QXZyZFwB/AHwtIj43y87k6LXc0NMidwLnApuBg8DtfTYWEScBPwRuzMxfLb5viONfov3Bjj8zj2bmZuBMRq9sP9VXW5PMIuwHgLMW3T6zWTeYzDzQ/D4MPMBsqtEeioiNAM3vw0M2npmHmj/C94C76fE5iIjjGQXte5n5o2b1YMe/VPtDHv+CzHwLeBT4LHBKRCxUUR4kA7MI+xPAec1o5AnAdcDOoRqPiBMj4uSFZeCLwN7Je/ViJ7C1Wd4KPDhk4wtBa1xNT89BRARwD/B8Zn5r0V2DHP+49gc8/tMj4pRm+ePApYzGDR4FvtRsNsy/f98jgGNGKK9gNCr6AvDnA7f9CUYzAE8Dzw7RPvB9Ri8V/4/R+7Prgd8AHgF+AfwbsH7g9v8JeAbYwyh4G3tq+2JGL9H3ALubnyuGOv4J7Q91/L8L/LxpZy/wF4v+Dh8H9gH/Any0779DP0EnFVF1gE4qx7BLRRh2qQjDLhVh2KUiDLtUhGGXijDsUhH/D9g6BsoCMe8zAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPsAAAD5CAYAAADhukOtAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8li6FKAAANQUlEQVR4nO3dX6wc5XnH8e8T8ycRIIEDtQx2CnGQIlQ1DkIWUVGUEpFSVAmQIiAXkS9QnVRBChW9sKjU0KoXSVUCuahAUKy6VRpMSRBWhUJchER7UYIhxhhoG0Cm+A82EaAYLkJtnl7sHOkAZ9fn7M7M7vHz/UhHZ3Zm9rzvHJ+fZ/Z9d+eJzETSie9j0+6ApH4YdqkIwy4VYdilIgy7VIRhl4o4aZInR8SVwA+AFcDfZ+Z3R+2/4vTT8qSVKydpUtIIR998k2PvvBsLbRs77BGxAvg74ApgH/BURGzPzBeGPeeklSs595abx21S0nEcuP3OodsmuYzfALyUma9k5nvA/cDVE/w8SR2aJOznAa/Ne7yvWSdpBnU+QBcRmyJiZ0TsPPbOu103J2mIScK+H1g77/GaZt0HZOY9mXlJZl6y4vTTJmhO0iQmCftTwIURcUFEnALcAGxvp1uS2jb2aHxmHo2Im4BHGUy9bcnM51vrmaRWTTTPnpmPAI+01BdJHfIddFIRhl0qwrBLRRh2qQjDLhVh2KUiDLtUhGGXijDsUhGGXSrCsEtFGHapCMMuFWHYpSIMu1SEYZeKMOxSERPdqUYnvs/86X8u+TmPHtjVWvvrtn2ztZ9VnWd2qQjDLhVh2KUiDLtUhGGXipi0Pvte4AhwDDiamZe00Sn1b5xRdy0vbUy9/X5m/qqFnyOpQ17GS0VMGvYEfhYRT0fEpjY6JKkbk17GX5aZ+yPit4AdEfFfmfnE/B2a/wQ2Aaw466wJm5M0ronO7Jm5v/l+GHgI2LDAPtZnl2bA2Gf2iDgN+FhmHmmWvwL8VWs9U+vaHHF/6Y5LR2xd+nvjfQ/80r18/d0fWbdhyxtD95/kMn4V8FBEzP2cf87Mn07w8yR1aOywZ+YrwOda7IukDjn1JhVh2KUiDLtUhGGXivC2VCegPqbYFpr2Ub8Wmq488NadQ/f3zC4VYdilIgy7VIRhl4ow7FIRjsYvU23fRmp4YQc/1HKi8MwuFWHYpSIMu1SEYZeKMOxSEYZdKsKptxk3y/eN0/LimV0qwrBLRRh2qQjDLhVh2KUijjsaHxFbgD8CDmfm7zTrVgLbgPOBvcB1mflWd91UG9q8lZQfdll+FnNm/wfgyg+t2ww8lpkXAo81jyXNsOOGvanK+uaHVl8NbG2WtwLXtNwvSS0b9zX7qsw82Cy/zqDum6QZNvEAXWYmkMO2R8SmiNgZETuPvfPupM1JGtO4YT8UEasBmu+Hh+1ofXZpNowb9u3AxmZ5I/BwO92R1JXFTL39CPgScHZE7AO+A3wXeCAibgReBa7rspMVtPmBl+H3k1u6E2mKre0qNsvtd3PcsGfm14Zs+nLLfZHUId9BJxVh2KUiDLtUhGGXivC2VAKWPrLcdkWa0bfMaseoYxxnpH7Yc2Z1lN4zu1SEYZeKMOxSEYZdKsKwS0U4Gt+jWX3/+yhtj7rPqmEj6OOM0g/7nfUx4zCKZ3apCMMuFWHYpSIMu1SEYZeKMOxSEU69FTLtD2iMM/U0ztTXsOMcZxpxHUv/8MywadF125x6k9QDwy4VYdilIgy7VIRhl4oYtz77bcAfA280u92amY901Ul1b6kj1X2NrA8zzszCqD4PO/6Rv5frl9yFqRq3PjvAHZm5vvky6NKMG7c+u6RlZpLX7DdFxO6I2BIRZw3byZLN0mwYN+x3AeuA9cBB4PZhO1qyWZoNY4U9Mw9l5rHMfB+4F9jQbrcktW2ssEfE6nkPrwX2tNMdSV0Ztz77lyJiPZDAXuAbHfZRLVmO95Nr88M7y/H42zRuffb7OuiLpA75DjqpCMMuFWHYpSIMu1SEt6WaccM/vDG8IszQ2zKx9NHoad9KahzLsfJOHzyzS0UYdqkIwy4VYdilIgy7VISj8T1q9bZILd8Saamj7tMecdfSeWaXijDsUhGGXSrCsEtFGHapCMMuFeHU2zL1B+euH77xjoVXL8cPtQzT9i2mxvnA0XLjmV0qwrBLRRh2qQjDLhVh2KUiFlMkYi3wj8AqBkUh7snMH0TESmAbcD6DQhHXZeZb3XVVJ7I2R9eXY+34PizmzH4UuCUzLwIuBb4VERcBm4HHMvNC4LHmsaQZtZj67Acz85lm+QjwInAecDWwtdltK3BNV52UNLklvWaPiPOBzwNPAqsy82Cz6XUGl/kLPcf67NIMWHTYI+J04MfAzZn56/nbMjMZvJ7/COuzS7NhUWGPiJMZBP2HmfmTZvWhudLNzffD3XRRUhuOG/aICAZVW1/MzO/P27Qd2NgsbwQebr97ktoSgyvwETtEXAb8O/Ac8H6z+lYGr9sfAD4FvMpg6u3NUT/r1E+tzXNvuXnSPgOjp0pmdepjHNOekjqRtDm9BrP5d3bg9jv5zf++FgttW0x99v8AFnwy8OVJOiapP76DTirCsEtFGHapCMMuFbFsb0s1iyOhXRg2gj7OKP2o50x7pH5Y3/xQS3s8s0tFGHapCMMuFWHYpSIMu1TEsh2Nr26cWu+jLPU5bY/eP3pgWDGGhdePM0p+Io2sj8Mzu1SEYZeKMOxSEYZdKsKwS0UYdqmI496Wqk1t3pZK0keNui2VZ3apCMMuFWHYpSIMu1SEYZeKWExFmLUR8XhEvBARz0fEt5v1t0XE/ojY1Xxd1X13JY1rMZ96m6vP/kxEnAE8HRE7mm13ZObfdtc9SW1ZTEWYg8DBZvlIRMzVZ5e0jExSnx3gpojYHRFbIuKsIc+xPrs0Ayapz34XsA5Yz+DMf/tCz7M+uzQbxq7PnpmHMvNYZr4P3Ats6K6bkiY1dn32iFg9b7drgT3td09SWxYzGv97wNeB5yJi7oZgtwJfi4j1QAJ7gW900kNJrZikPvsj7XdHUld8B51UhGGXijDsUhGGXSrCsEtFGHapCMMuFWHYpSIMu1SEYZeKMOxSEYZdKsKwS0UYdqkIwy4VYdilIgy7VIRhl4ow7FIRhl0qwrBLRRh2qQjDLhVx3PvGR8THgSeAU5v9H8zM70TEBcD9wCeBp4GvZ+Z7XXZ2lrx8/d1Dt63b9s0eeyItzmLO7L8BLs/MzzEo4nhlRFwKfI9BffbPAG8BN3bXTUmTOm7Yc+Cd5uHJzVcClwMPNuu3Atd00kNJrVhsFdcVTZ23w8AO4GXg7cw82uyyDzhvyHOtzy7NgEWFvSnNvB5Yw6A082cX24D12aXZsKTR+Mx8G3gc+AJwZkTMDfCtAfa33DdJLVpMffZzIuLMZvkTwBXAiwxC/9Vmt43Aw111UtLkFlOffTWwNSJWMPjP4YHM/NeIeAG4PyL+GvgFcF+H/Zw5Tq9puVlMffbdwOcXWP8Kg9fvkpYB30EnFWHYpSIMu1SEYZeKMOxSEYZdKsKwS0UYdqkIwy4VYdilIgy7VIRhl4ow7FIRhl0qwrBLRRh2qQjDLhURmdlfYxFvAK82D88GftVb4x9l+7Z/Irb/25l5zkIbeg37BxqO2JmZl0ylcdu3/YLtexkvFWHYpSKmGfZ7pti27dt+ufan9ppdUr+8jJeKmErYI+LKiPjviHgpIjZPof29EfFcROyKiJ09tLclIg5HxJ5561ZGxI6I+GXz/aye278tIvY3v4NdEXFVR22vjYjHI+KFiHg+Ir7drO/l+Ee039fxfzwifh4Rzzbt/2Wz/oKIeLLJwLaIOKWL9j8gM3v9AlYwKPn8aeAU4Fngop77sBc4u8f2vghcDOyZt+5vgM3N8mbgez23fxvwZz0c+2rg4mb5DOB/gIv6Ov4R7fd1/AGc3iyfDDwJXAo8ANzQrL8b+JOu+zKNM/sG4KXMfCUz3wPuB66eQj96k5lPAG9+aPXVwNZmeStwTc/t9yIzD2bmM83yEQZFQc+jp+Mf0X4vcuCd5uHJzVcClwMPNus7/fefM42wnwe8Nu/xPnr85TcS+FlEPB0Rm3pue86qzDzYLL8OrJpCH26KiN3NZX5nLyPmRMT5DOoGPskUjv9D7UNPxx8RKyJiF3AY2MHgyvbtzDza7NJLBqoO0F2WmRcDfwh8KyK+OM3O5OBaru9pkbuAdcB64CBwe5eNRcTpwI+BmzPz1/O39XH8C7Tf2/Fn5rHMXA+sYXBl+9mu2hplGmHfD6yd93hNs643mbm/+X4YeIjpVKM9FBGrAZrvh/tsPDMPNX+E7wP30uHvICJOZhC0H2bmT5rVvR3/Qu33efxzMvNt4HHgC8CZETFXRbmXDEwj7E8BFzajkacANwDb+2o8Ik6LiDPmloGvAHtGP6sT24GNzfJG4OE+G58LWuNaOvodREQA9wEvZub3523q5fiHtd/j8Z8TEWc2y58ArmAwbvA48NVmt37+/bseARwyQnkVg1HRl4E/77ntTzOYAXgWeL6P9oEfMbhU/D8Gr89uBD4JPAb8Evg3YGXP7f8T8Bywm0HwVnfU9mUMLtF3A7uar6v6Ov4R7fd1/L8L/KJpZw/wF/P+Dn8OvAT8C3Bq13+HvoNOKqLqAJ1UjmGXijDsUhGGXSrCsEtFGHapCMMuFWHYpSL+H4kC0uSC3ELVAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPsAAAD5CAYAAADhukOtAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8li6FKAAANYElEQVR4nO3dUawc5XmH8eeNMSTCSNiFWgacQghShKrGQcgiKopSIhKKKhmkCMhF5QsUkipIJaIXiEotqXpBqjqQiwoExapbpcE0CcKqUAlFSFEvChgCxkDbGGQCtrGJAAW4ILV5e7Fz1AOcXa93Z2b3+H1+0tHOzszu983x+Xt2v29n38hMJB3/PjbrDkjqh2GXijDsUhGGXSrCsEtFGHapiBOmeXBEXAZ8H1gB/H1m3jpq/xWrTs4T1qyZpklJIxx+4w2OvPNuLLVt4rBHxArg74BLgVeBJyJiR2Y+P+wxJ6xZwxk33jBpk5KOYv+W24dum+Zl/EZgT2a+lJm/Ae4FNk3xfJI6NE3YzwReWXT/1WadpDnU+QBdRFwXETsjYueRd97tujlJQ0wT9n3A+kX3z2rWfUBm3pWZF2bmhStWnTxFc5KmMU3YnwDOi4hzIuJE4BpgRzvdktS2iUfjM/NwRFwPPMRg6m1rZj7XWs8ktWqqefbMfBB4sKW+SOqQn6CTijDsUhGGXSrCsEtFTDVAp+Pfi1ffueT6c7d/s+eeaFqe2aUiDLtUhGGXijDsUhGGXSrC0XiN5Kj78cMzu1SEYZeKMOxSEYZdKsKwS0UYdqkIp96WqU9/+z9bfb6H9j/d2nM5XTefPLNLRRh2qQjDLhVh2KUiDLtUxLT12fcCbwNHgMOZeWEbndL/a3PUvc0Rdy0/bUy9/UFm/qqF55HUIV/GS0VMG/YEfhoRT0bEdW10SFI3pn0Zf3Fm7ouI3wYejoj/ysyfLd6h+U/gOoAVq1dP2ZykSU11Zs/Mfc3tIeB+YOMS+1ifXZoDE5/ZI+Jk4GOZ+Xaz/GXgr1rrWTFtjrrvue2iIVv8/Htl07yMXwvcHxELz/PPmflvrfRKUusmDntmvgR8tsW+SOqQU29SEYZdKsKwS0UYdqkIv5aqA21/ZdRSRl/U4hSbPsozu1SEYZeKMOxSEYZdKsKwS0U4Gj/n+rioBRx1r8Azu1SEYZeKMOxSEYZdKsKwS0UYdqkIp94m1PbFLsOm2F68+s7W2nB6rTbP7FIRhl0qwrBLRRh2qQjDLhVx1NH4iNgK/BFwKDN/t1m3BtgOnA3sBa7KzDe76+bxr81R91kbNlMx/KIeZx36MM6Z/R+Ayz607ibgkcw8D3ikuS9pjh017E1V1jc+tHoTsK1Z3gZc0XK/JLVs0vfsazPzQLP8GoO6b5Lm2NQDdJmZQA7bHhHXRcTOiNh55J13p21O0oQmDfvBiFgH0NweGraj9dml+TBp2HcAm5vlzcAD7XRHUlfGmXr7IfBF4LSIeBX4S+BW4L6IuBZ4Gbiqy07OUpsXvIyu4tKeSaae+qhiM7KNq9trZ9g03iS/l1FTgsttiu+oYc/Mrw3Z9KWW+yKpQ36CTirCsEtFGHapCMMuFeHXUi1To0aC+xhZH3VRyyTtDzueWV8gtNxG3EfxzC4VYdilIgy7VIRhl4ow7FIRMbhCtR8nfXJ9nnHjDb21N662R6/7+Az8V87Y0HkbMHrU/Vi1+TnztkfpJ5kNONbH9DGyv3/L7bz3y1diqW2e2aUiDLtUhGGXijDsUhGGXSrCsEtFeCHMnBg2LdPHRS0wv/Xhhx3/V749fOqxzanPSfo8rxfPeGaXijDsUhGGXSrCsEtFGHapiEnrs98CfB14vdnt5sx8sKtOVtDXqPswsx51V/cmrc8OcFtmbmh+DLo05yatzy5pmZnmPfv1EbErIrZGxOphO1myWZoPk4b9DuBcYANwANgybEdLNkvzYaKwZ+bBzDySme8DdwMb2+2WpLZNFPaIWLfo7pXA7na6I6krk9Zn/2JEbAAS2At8o8M+6hj1cVHLKJN8B9u8Tj0eT9OIk9Znv6eDvkjqkJ+gk4ow7FIRhl0qwrBLRfi1VMeheb2oZdYj7tV5ZpeKMOxSEYZdKsKwS0UYdqkIR+M7MFExBJYeqe7rc+7L7TPgo+vGH3uRiOV2/JPwzC4VYdilIgy7VIRhl4ow7FIRhl0qYi6m3kZNI/UxJTJqGmeSizcqXPAx62Nse+qxza+lmtevuPLMLhVh2KUiDLtUhGGXijDsUhHjFIlYD/wjsJZBUYi7MvP7EbEG2A6czaBQxFWZ+eYknZj1KGUVE12gM+NR94f2H/tFLcP09Xc2r3/P45zZDwM3Zub5wEXAtyLifOAm4JHMPA94pLkvaU6NU5/9QGY+1Sy/DbwAnAlsArY1u20Druiqk5Kmd0zv2SPibOBzwGPA2sw80Gx6jcHL/KUeY312aQ6MHfaIWAX8GLghM3+9eFtmJoP38x9hfXZpPowV9ohYySDoP8jMnzSrDy6Ubm5uD3XTRUltOGrYIyIYVG19ITO/t2jTDmBzs7wZeKD97klqyzgXwvw+8MfAsxGxMA9yM3ArcF9EXAu8DFzVTRdna9hFMrOekpr19M7o74A7dn3Vjq9snPrs/wHEkM1farc7krriJ+ikIgy7VIRhl4ow7FIRc/G1VMtR219l1eZztTlSPslzzXpkfdYzFfPKM7tUhGGXijDsUhGGXSrCsEtFOBpP+0UqJhnBnvVn7YdxZP344ZldKsKwS0UYdqkIwy4VYdilIgy7VEQMvhi2Hyd9cn2eceMNvbUnVbN/y+2898tXlvxmKc/sUhGGXSrCsEtFGHapCMMuFTFNffZbgK8Drze73pyZD3bVUU2v7Qt+tLyMc9XbQn32pyLiFODJiHi42XZbZv5td92T1JZxKsIcAA40y29HxEJ9dknLyDT12QGuj4hdEbE1IlYPeYz12aU5ME199juAc4ENDM78W5Z6nPXZpfkwcX32zDyYmUcy833gbmBjd92UNK2J67NHxLpFu10J7G6/e5LaMk199q9FxAYG03F7gW900kO1xum12qapz+6curSM+Ak6qQjDLhVh2KUiDLtUhGGXijDsUhGGXSrCsEtFGHapCMMuFWHYpSIMu1SEYZeKMOxSEYZdKsKwS0UYdqkIwy4VYdilIgy7VIRhl4ow7FIRhl0qYpyKMB+PiMcj4pmIeC4ivtOsPyciHouIPRGxPSJO7L67kiY1zpn9PeCSzPwsgyKOl0XERcB3GdRn/zTwJnBtd92UNK2jhj0H3mnurmx+ErgE+FGzfhtwRSc9lNSKcau4rmjqvB0CHgZeBN7KzMPNLq8CZw55rPXZpTkwVtib0swbgLMYlGb+zLgNWJ9dmg/HNBqfmW8BjwKfB06NiIXCkGcB+1rum6QWjTMaf3pEnNosfwK4FHiBQei/2uy2GXigq05Kmt449dnXAdsiYgWD/xzuy8x/jYjngXsj4q+BnwP3dNhPSVMapz77LuBzS6x/icH7d0nLgJ+gk4ow7FIRhl0qwrBLRYwzGi9pDr149Z0fWbdx6+tD9/fMLhVh2KUiDLtUhGGXijDsUhGGXSrCqTdpmTp3+zc/sm7/m7cP3d8zu1SEYZeKMOxSEYZdKsKwS0VEZvbXWMTrwMvN3dOAX/XW+EfZvu0fj+3/TmaevtSGXsP+gYYjdmbmhTNp3PZtv2D7voyXijDsUhGzDPtdM2zb9m2/XPsze88uqV++jJeKmEnYI+KyiPjviNgTETfNoP29EfFsRDwdETt7aG9rRByKiN2L1q2JiIcj4hfN7eqe278lIvY1v4OnI+LyjtpeHxGPRsTzEfFcRPxps76X4x/Rfl/H//GIeDwinmna/06z/pyIeKzJwPaIOLGL9j8gM3v9AVYwKPn8KeBE4Bng/J77sBc4rcf2vgBcAOxetO5vgJua5ZuA7/bc/i3An/Vw7OuAC5rlU4D/Ac7v6/hHtN/X8QewqlleCTwGXATcB1zTrL8T+JOu+zKLM/tGYE9mvpSZvwHuBTbNoB+9ycyfAW98aPUmYFuzvA24ouf2e5GZBzLzqWb5bQZFQc+kp+Mf0X4vcuCd5u7K5ieBS4AfNes7/fdfMIuwnwm8suj+q/T4y28k8NOIeDIiruu57QVrM/NAs/wasHYGfbg+InY1L/M7exuxICLOZlA38DFmcPwfah96Ov6IWBERTwOHgIcZvLJ9KzMPN7v0koGqA3QXZ+YFwB8C34qIL8yyMzl4Ldf3tMgdwLnABuAAsKXLxiJiFfBj4IbM/PXibX0c/xLt93b8mXkkMzcAZzF4ZfuZrtoaZRZh3wesX3T/rGZdbzJzX3N7CLif2VSjPRgR6wCa20N9Np6ZB5s/wveBu+nwdxARKxkE7QeZ+ZNmdW/Hv1T7fR7/gsx8C3gU+DxwakQsfFNULxmYRdifAM5rRiNPBK4BdvTVeEScHBGnLCwDXwZ2j35UJ3YAm5vlzcADfTa+ELTGlXT0O4iIAO4BXsjM7y3a1MvxD2u/x+M/PSJObZY/AVzKYNzgUeCrzW79/Pt3PQI4ZITycgajoi8Cf95z259iMAPwDPBcH+0DP2TwUvF/Gbw/uxb4LeAR4BfAvwNrem7/n4BngV0Mgreuo7YvZvASfRfwdPNzeV/HP6L9vo7/94CfN+3sBv5i0d/h48Ae4F+Ak7r+O/QTdFIRVQfopHIMu1SEYZeKMOxSEYZdKsKwS0UYdqkIwy4V8X/1eOTQ/a9tfwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Displaying a random example\n",
    "classs = np.random.randint(low=0,high=num_classes)\n",
    "classs = classes[classs]\n",
    "num_exp = np.random.randint(low=0,high=training_class_lens[classs])\n",
    "print(\"Class is \"+str(classs))\n",
    "disp_exp = ev.read_dataset(os.getcwd()+\"/data/train/\"+str(classs)+\"/\"+str(training_data_lists[classs][num_exp]))\n",
    "print(disp_exp.data.ts[-1])\n",
    "disp_exp.show_td(frame_length=24e3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPsAAAD5CAYAAADhukOtAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8li6FKAAANY0lEQVR4nO3db6hk9X3H8fc3658EFXSjXdY/rWYVgpRmIyKGSkgNRisFFYIxD8I+kBhDhCr2gVhobOkDU2pMHhRFq3Rb0rjWRFyKJLEi2D6IcTXrumrarLJW13XXoJLVB7G7fvtgzoWr3pm9d+acMzP3+37B5Z4558z8fmf2fvac+f1m5huZiaTV72PT7oCkfhh2qQjDLhVh2KUiDLtUhGGXijhikjtHxCXA94E1wD9m5q2j9l9z7DF5xNq1kzQpaYSDb77JoXfejaW2jR32iFgD/ANwEfAq8GREbM3M54fd54i1azn5xuvHbVLSYbx22/eGbpvkMv48YFdmvpSZ7wH3AZdN8HiSOjRJ2E8BXll0+9VmnaQZ1PkAXURcExHbImLboXfe7bo5SUNMEvY9wGmLbp/arPuAzLwrM8/NzHPXHHvMBM1JmsQkYX8SOCsizoiIo4CrgK3tdEtS28Yejc/MgxFxHfBTBlNv92bmc631TFKrJppnz8yHgYdb6oukDvkOOqkIwy4VYdilIgy7VIRhl4ow7FIRhl0qwrBLRRh2qQjDLhVh2KUiDLtUhGGXijDsUhGGXSrCsEtFGHapCMMuFWHYpSIMu1SEYZeKMOxSEYZdKmLS+uy7gQPAIeBgZp7bRqd0eC9+5c4V32fDlms76InmxURhb/xJZv6mhceR1CEv46UiJg17Aj+LiKci4po2OiSpG5Nexl+QmXsi4veARyLiV5n5+OIdmv8ErgFYc8IJEzYnaVwTndkzc0/zez/wIHDeEvtYn12aAWOf2SPiGOBjmXmgWf4S8Det9ewwRo1GVxh1HnWM44zUD7tPheeyikku49cBD0bEwuP8a2b+pJVeSWrd2GHPzJeAz7TYF0kdcupNKsKwS0UYdqkIwy4V0cZ746eiypTQONNo4zxWleezMs/sUhGGXSrCsEtFGHapCMMuFWHYpSIMu1SEYZeKMOxSEYZdKsKwS0UYdqmIuf0gzDxq80MtbTvzhp8vuX7X7ef33BN1xTO7VIRhl4ow7FIRhl0qwrBLRRx2ND4i7gX+DNifmX/YrFsLbAFOB3YDV2bmW911c77M8qj7SjlKv3os58z+T8AlH1p3E/BoZp4FPNrcljTDDhv2pirrmx9afRmwuVneDFzecr8ktWzc1+zrMnNvs/w6g7pvkmbYxAN0mZlADtseEddExLaI2HbonXcnbU7SmMYN+76IWA/Q/N4/bEfrs0uzYdywbwU2NcubgIfa6Y6krixn6u2HwBeAEyPiVeDbwK3A/RFxNfAycGWXnZym1TSNdvHJG1d8H6fYVo/Dhj0zvzpk0xdb7oukDvkOOqkIwy4VYdilIgy7VIRfSzWnxhlZn7Y268Nba37lPLNLRRh2qQjDLhVh2KUiDLtUhKPxM66vUfdh74EfNuo9asR7nM8TrLQdR9xXzjO7VIRhl4ow7FIRhl0qwrBLRRh2qQin3piNr57qY4rtp69tH7F11LaP6us5G2fqT0vzzC4VYdilIgy7VIRhl4ow7FIR49ZnvwX4OvBGs9vNmflwV51cqeojuKNH3VXVuPXZAW7PzI3Nz8wEXdLSxq3PLmnOTPKa/bqI2BER90bECcN2smSzNBvGDfsdwAZgI7AXuG3YjpZslmbDWGHPzH2ZeSgz3wfuBs5rt1uS2jZW2CNi/aKbVwA72+mOpK6MW5/9CxGxEUhgN/CNDvu4YrM6xdbmh12cXtNKjVuf/Z4O+iKpQ76DTirCsEtFGHapCMMuFeHXUs24eRx1b3PWYVilGq2cZ3apCMMuFWHYpSIMu1SEYZeKcDS+A33VVO/DPB7LmTf8fMn11Uf2PbNLRRh2qQjDLhVh2KUiDLtUhGGXinDqbUb08YGXWZ5GG378S68f51iGTclBjWk5z+xSEYZdKsKwS0UYdqkIwy4VsZwiEacB/wysY1AU4q7M/H5ErAW2AKczKBRxZWa+1V1XNe/anHEY9VizPOswTcs5sx8EbszMs4HzgW9FxNnATcCjmXkW8GhzW9KMWk599r2Z+XSzfAB4ATgFuAzY3Oy2Gbi8q05KmtyKXrNHxOnAZ4EngHWZubfZ9DqDy/yl7mN9dmkGLDvsEXEs8CPg+sz87eJtmZkMXs9/hPXZpdmwrLBHxJEMgv6DzPxxs3rfQunm5vf+brooqQ2HDXtEBIOqrS9k5ncXbdoKbGqWNwEPtd89SW1Zzgdh/hj4GvBsRCzMd9wM3ArcHxFXAy8DV3bTRa1UH1NP81ipprrl1Gf/LyCGbP5iu92R1BXfQScVYdilIgy7VIRhl4rwa6l61OYIdl8f9nDUffXwzC4VYdilIgy7VIRhl4ow7FIRczsa/+JX7hy6bcOWa1f0WKP2H9XOMPM4gj1vfZ7lr54a529mpX+z4/DMLhVh2KUiDLtUhGGXijDsUhGGXSpibqfe+piqgOFTPONMVbXZ5zMZXmt8mHmbXoPZnmIbpq+/zZXyzC4VYdilIgy7VIRhl4ow7FIRk9RnvwX4OvBGs+vNmflwVx2dll23n7/k+otPHuPBbh++6cwblh5dH9b+sPUw3gcx+jCPI+uryXKm3hbqsz8dEccBT0XEI8222zPz77vrnqS2LKcizF5gb7N8ICIW6rNLmiOT1GcHuC4idkTEvRFxwpD7WJ9dmgGT1Ge/A9gAbGRw5r9tqftZn12aDWPXZ8/MfZl5KDPfB+4Gzuuum5ImNXZ99ohYv2i3K4Cd7XdPUlsiM0fvEHEB8J/As8D7zeqbga8yuIRPYDfwjWYwb6ijf/+0PPnG6yfs8vwaNr02jlFTb+MYNl03j9NlbT838+S1277H7/73lSVLrE9Sn33VzalLq5nvoJOKMOxSEYZdKsKwS0XM7ddSVdfmyD7AxTfM36i7VsYzu1SEYZeKMOxSEYZdKsKwS0UYdqkIp956NOoDGm1Ppa0WlT/U0jbP7FIRhl0qwrBLRRh2qQjDLhXhaPyMaHPUedoj+46gzybP7FIRhl0qwrBLRRh2qQjDLhWxnPrsHwceB45u9n8gM78dEWcA9wGfBJ4CvpaZ73XZ2YqGFW/YsOXaofdxNFxLWc6Z/XfAhZn5GQYVYC6JiPOB7zCoz34m8BZwdXfdlDSpw4Y9B95pbh7Z/CRwIfBAs34zcHknPZTUiuVWcV0TEduB/cAjwIvA25l5sNnlVeCUIfe1Prs0A5YV9qY080bgVAalmT+93Aaszy7NhhWNxmfm28BjwOeA4yNiYYDvVGBPy32T1KLl1Gc/KSKOb5Y/AVwEvMAg9F9udtsEPNRVJyVNbjkfhFkPbI6INQz+c7g/M/89Ip4H7ouIvwV+CdzTYT/nyjjTZcOMcx9pKcupz74D+OwS619i8Ppd0hzwHXRSEYZdKsKwS0UYdqkIv5aqA46grx7DZlZg/v6dPbNLRRh2qQjDLhVh2KUiDLtUhGGXinDqTRph3qbXRvHMLhVh2KUiDLtUhGGXijDsUhGRmf01FvEG8HJz80TgN701/lG2b/ursf0/yMyTltrQa9g/0HDEtsw8dyqN277tF2zfy3ipCMMuFTHNsN81xbZt3/bLtT+11+yS+uVlvFTEVMIeEZdExH9HxK6IuGkK7e+OiGcjYntEbOuhvXsjYn9E7Fy0bm1EPBIRv25+n9Bz+7dExJ7mOdgeEZd21PZpEfFYRDwfEc9FxJ8363s5/hHt93X8H4+IX0TEM037f92sPyMinmgysCUijuqi/Q/IzF5/gDUMSj5/CjgKeAY4u+c+7AZO7LG9zwPnADsXrfs74KZm+SbgOz23fwvwFz0c+3rgnGb5OOB/gLP7Ov4R7fd1/AEc2ywfCTwBnA/cD1zVrL8T+GbXfZnGmf08YFdmvpSZ7wH3AZdNoR+9yczHgTc/tPoyYHOzvBm4vOf2e5GZezPz6Wb5AIOioKfQ0/GPaL8XOfBOc/PI5ieBC4EHmvWd/vsvmEbYTwFeWXT7VXp88hsJ/CwinoqIa3pue8G6zNzbLL8OrJtCH66LiB3NZX5nLyMWRMTpDOoGPsEUjv9D7UNPxx8RayJiO7AfeITBle3bmXmw2aWXDFQdoLsgM88B/hT4VkR8fpqdycG1XN/TIncAG4CNwF7gti4bi4hjgR8B12fmbxdv6+P4l2i/t+PPzEOZuRE4lcGV7ae7amuUaYR9D3DaotunNut6k5l7mt/7gQeZTjXafRGxHqD5vb/PxjNzX/NH+D5wNx0+BxFxJIOg/SAzf9ys7u34l2q/z+NfkJlvA48BnwOOj4iFb4rqJQPTCPuTwFnNaORRwFXA1r4aj4hjIuK4hWXgS8DO0ffqxFZgU7O8CXioz8YXgta4go6eg4gI4B7ghcz87qJNvRz/sPZ7PP6TIuL4ZvkTwEUMxg0eA77c7NbPv3/XI4BDRigvZTAq+iLwlz23/SkGMwDPAM/10T7wQwaXiv/H4PXZ1cAngUeBXwP/Aaztuf1/AZ4FdjAI3vqO2r6AwSX6DmB783NpX8c/ov2+jv+PgF827ewE/mrR3+EvgF3AvwFHd/136DvopCKqDtBJ5Rh2qQjDLhVh2KUiDLtUhGGXijDsUhGGXSri/wE6N87SjpF6JQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPsAAAD5CAYAAADhukOtAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8li6FKAAANxUlEQVR4nO3dX6hl5XnH8e+T8U+CCjrRDuOfVjMRgpRmIiKGSkgNRisFFYKaizAXkklLhBrshVhobOmFKTUmF0XRKp2WNI41EYciSewgSC9qHI2Oo7aNylgdxxmDStSL2BmfXux14GjP3nPO2mutvc95vh84nLXXXnu/79pnfrP2ft+91hOZiaS172Oz7oCkYRh2qQjDLhVh2KUiDLtUhGGXijhqmgdHxKXA94F1wN9n5i2Ttl93/HF51Pr10zQpaYJDb77J4Xffi6Xuax32iFgH/B1wMfAq8HhE7MjM58Y95qj16zn1huvbNinpCF679Xtj75vmbfz5wAuZ+VJmvg/cC1w+xfNJ6tE0YT8NeGXR7VebdZLmUO8DdBGxNSJ2RcSuw+++13dzksaYJuz7gDMW3T69WfchmXlnZp6XmeetO/64KZqTNI1pwv44cHZEnBURxwDXADu66ZakrrUejc/MQxFxHfBTRlNv92Tms531TFKnpppnz8yHgIc66oukHvkNOqkIwy4VYdilIgy7VMRUA3TSUl68+o4l12/a/scD90SLeWSXijDsUhGGXSrCsEtFGHapCEfjBXQ7gu6o+3zyyC4VYdilIgy7VIRhl4ow7FIRhl0qwqk3Ad1Ol336W/+x4se8cNsFnbWvpXlkl4ow7FIRhl0qwrBLRRh2qYhp67PvBd4BDgOHMvO8Ljql4Y0bQR9qlHylI/iO3q9cF1Nvf5CZv+rgeST1yLfxUhHThj2Bn0XEExGxtYsOSerHtG/jL8zMfRHxW8DDEfGfmfno4g2a/wS2Aqw76aQpm5PU1lRH9szc1/w+CDwAnL/ENtZnl+ZA6yN7RBwHfCwz32mWvwz8VWc906B++tpTS67ftL27UW9H0GdrmrfxG4AHImLhef45M3/SSa8kda512DPzJeCzHfZFUo+cepOKMOxSEYZdKsKwS0V4Wao1qM1JLSu9LNWkE1fGTePBuPVWkRmCR3apCMMuFWHYpSIMu1SEYZeKcDR+DeryhJN2I/ue8DKPPLJLRRh2qQjDLhVh2KUiDLtUhGGXinDqbZV68eo7xt437qSSSSeveH24tc8ju1SEYZeKMOxSEYZdKsKwS0UccTQ+Iu4B/gg4mJm/26xbD2wHzgT2Aldl5lv9dVMf1eYyTpNG3Gddn32cNv1aaa33Iz3fWrGcI/s/AJd+ZN2NwM7MPBvY2dyWNMeOGPamKuubH1l9ObCtWd4GXNFxvyR1rO1n9g2Zub9Zfp1R3TdJc2zqAbrMTCDH3R8RWyNiV0TsOvzue9M2J6mltmE/EBEbAZrfB8dtaH12aT60DfsOYEuzvAV4sJvuSOrLcqbefgh8ETg5Il4Fvg3cAtwXEdcCLwNX9dnJyiad8DJOmxNhxlVx6fJ6cl2eiNNmeq3r51tt03VHDHtmfnXMXV/quC+SeuQ36KQiDLtUhGGXijDsUhFelmrOdVm3fDVWcRmiuk3Xzzevo/Qe2aUiDLtUhGGXijDsUhGGXSrC0fg5sdLvwF9y6uYVt9FmlLjLEeehLos19rW8evxj2pxPsNp4ZJeKMOxSEYZdKsKwS0UYdqkIwy4V4dRbD8ZN/bQ5qWXslBDD1Fpvc7mqLi/xNNTJJmP/Zoz/m43r27yeIOORXSrCsEtFGHapCMMuFWHYpSLa1me/Gfg68Eaz2U2Z+VBfnZylNiPrXV5Kalz7l3xr5SfCtNF1HfiunmvSiUNt+tymGMdq07Y+O8Btmbm5+VmTQZfWkrb12SWtMtN8Zr8uInZHxD0RcdK4jSzZLM2HtmG/HdgEbAb2A7eO29CSzdJ8aBX2zDyQmYcz8wPgLuD8brslqWutwh4RGxfdvBLY0013JPWlbX32L0bEZiCBvcA3euzjTA0xjTYPujx5Z5x29eGXbn9Sv4bYl9WobX32u3voi6Qe+Q06qQjDLhVh2KUiDLtUhJelWoPaXBZpiJHqcSPubXR9IkyFkXqP7FIRhl0qwrBLRRh2qQjDLhXhaPyA2nyfu0uTvps+RAGDLke8u770lKPxktYMwy4VYdilIgy7VIRhl4ow7FIRTr0NqMvptTZTZW3qpg9Va7xN31ZqUq31NmZdb32lPLJLRRh2qQjDLhVh2KUiDLtURGTm5A0izgD+EdjAqCjEnZn5/YhYD2wHzmRUKOKqzHxr0nMd+9tn5Kk3XN9Bt9eeLkfqhyrsMIRZj3jP+uShlXrt1u/xm/95JZa6bzlH9kPADZl5DnAB8M2IOAe4EdiZmWcDO5vbkubUcuqz78/MJ5vld4DngdOAy4FtzWbbgCv66qSk6a3oM3tEnAl8DngM2JCZ+5u7Xmf0Nn+px1ifXZoDyw57RBwP/Ai4PjN/vfi+HH3wX/LDv/XZpfmwrLBHxNGMgv6DzPxxs/rAQunm5vfBfrooqQtHDHtEBKOqrc9n5ncX3bUD2NIsbwEe7L57krqynBNhfh/4GvBMRCyU9LgJuAW4LyKuBV4Gruqni1qp1ViffKXTWF1PiQ11ws9KdXndvOXUZ/93YMl5O+BLK2pN0sz4DTqpCMMuFWHYpSIMu1SEl6WaE+NGVrs8QabNc3V9KaeuTKr1fsmpS6+fNLI+7vk2bZ/taHyXMyge2aUiDLtUhGGXijDsUhGGXSriiJel6pKXpRrGELXeu3bJqZuXXD9p1H2lKtR0n/ayVJLWAMMuFWHYpSIMu1SEYZeKMOxSEZ4IswYNcVJNGxOnqm4b95ilT0QZal/mcXqtLY/sUhGGXSrCsEtFGHapCMMuFXHE0fgJ9dlvBr4OvNFselNmPtRXR9e6IQo7zHpkudVlscb0edb7shotZ+ptoT77kxFxAvBERDzc3HdbZv5tf92T1JXlVITZD+xvlt+JiIX67JJWkWnqswNcFxG7I+KeiDhpzGOszy7NgWnqs98ObAI2Mzry37rU46zPLs2H1vXZM/NAZh7OzA+Au4Dz++umpGm1rs8eERsXbXYlsKf77knqyjT12b8aEZsZTcftBb7RSw+LmNeppC6nBOd1H6uYpj67c+rSKuI36KQiDLtUhGGXijDsUhFelkrAMCfiaLY8sktFGHapCMMuFWHYpSIMu1SEYZeKcOpNwMqn2CZdT87pupUbYurTI7tUhGGXijDsUhGGXSrCsEtFOBqvVhxx79YQr6dHdqkIwy4VYdilIgy7VIRhl4pYTn32jwOPAsc229+fmd+OiLOAe4FPAk8AX8vM9/vs7LS89JIqW86R/TfARZn5WUZFHC+NiAuA7zCqz/5p4C3g2v66KWlaRwx7jrzb3Dy6+UngIuD+Zv024IpeeiipE8ut4rquqfN2EHgYeBF4OzMPNZu8Cpw25rHWZ5fmwLLC3pRm3gyczqg082eW24D12aX5sKLR+Mx8G3gE+DxwYkQsDPCdDuzruG+SOrSc+uynRMSJzfIngIuB5xmF/ivNZluAB/vqpKTpLedEmI3AtohYx+g/h/sy818j4jng3oj4a+AXwN099rMTTrGpsuXUZ98NfG6J9S8x+vwuaRXwG3RSEYZdKsKwS0UYdqkIwy4VYdilIgy7VIRhl4ow7FIRhl0qwrBLRRh2qQjDLhVh2KUiDLtUhGGXijDsUhGRmcM1FvEG8HJz82TgV4M1/v/Zvu2vxfZ/JzNPWeqOQcP+oYYjdmXmeTNp3PZtv2D7vo2XijDsUhGzDPudM2zb9m2/XPsz+8wuaVi+jZeKmEnYI+LSiPiviHghIm6cQft7I+KZiHgqInYN0N49EXEwIvYsWrc+Ih6OiF82v08auP2bI2Jf8xo8FRGX9dT2GRHxSEQ8FxHPRsSfNusH2f8J7Q+1/x+PiJ9HxNNN+3/ZrD8rIh5rMrA9Io7po/0PycxBf4B1jEo+fwo4BngaOGfgPuwFTh6wvS8A5wJ7Fq37G+DGZvlG4DsDt38z8GcD7PtG4Nxm+QTgv4Fzhtr/Ce0Ptf8BHN8sHw08BlwA3Adc06y/A/iTvvsyiyP7+cALmflSZr4P3AtcPoN+DCYzHwXe/Mjqy4FtzfI24IqB2x9EZu7PzCeb5XcYFQU9jYH2f0L7g8iRd5ubRzc/CVwE3N+s7/Xvv2AWYT8NeGXR7VcZ8MVvJPCziHgiIrYO3PaCDZm5v1l+Hdgwgz5cFxG7m7f5vX2MWBARZzKqG/gYM9j/j7QPA+1/RKyLiKeAg8DDjN7Zvp2Zh5pNBslA1QG6CzPzXOAPgW9GxBdm2ZkcvZcbelrkdmATsBnYD9zaZ2MRcTzwI+D6zPz14vuG2P8l2h9s/zPzcGZuBk5n9M72M321Nckswr4POGPR7dObdYPJzH3N74PAA8ymGu2BiNgI0Pw+OGTjmXmg+Uf4AXAXPb4GEXE0o6D9IDN/3KwebP+Xan/I/V+QmW8DjwCfB06MiIUqyoNkYBZhfxw4uxmNPAa4BtgxVOMRcVxEnLCwDHwZ2DP5Ub3YAWxplrcADw7Z+ELQGlfS02sQEQHcDTyfmd9ddNcg+z+u/QH3/5SIOLFZ/gRwMaNxg0eArzSbDfP373sEcMwI5WWMRkVfBP584LY/xWgG4Gng2SHaB37I6K3i/zL6fHYt8ElgJ/BL4N+A9QO3/0/AM8BuRsHb2FPbFzJ6i74beKr5uWyo/Z/Q/lD7/3vAL5p29gB/sejf4c+BF4B/AY7t+9+h36CTiqg6QCeVY9ilIgy7VIRhl4ow7FIRhl0qwrBLRRh2qYj/A24LOfZSwNfWAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Scaled down data\n",
    "for i in range(len(disp_exp.data.ts)):\n",
    "    disp_exp.data.ts[i]=disp_exp.data.ts[i]//1000\n",
    "disp_exp.show_td(frame_length=24)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of events is 60662\n"
     ]
    }
   ],
   "source": [
    "# Maximum spike time is 315474 micro seconds (number 6)\n",
    "# Random Class selector\n",
    "# class_selector = np.random.randint(low=0,high=num_classes,size=batch_size*num_classes)\n",
    "class_selector = []\n",
    "for i in range(batch_size):\n",
    "    random.shuffle(classes)\n",
    "    class_selector+=classes\n",
    "class_history+=list(class_selector)\n",
    "spike_array = [[] for _ in range(34*34)]\n",
    "for classs in class_selector:\n",
    "    data_point = ev.read_dataset(os.getcwd()+\"/data/train/\"+str(classs)+\"/\"+str(training_data_lists[classs][num_examples_seen[classs]]))\n",
    "    data_point_spike_array = [[] for _ in range(34*34)]\n",
    "    for d in range(len(data_point.data.x)):\n",
    "        if data_point.data.p[d]: # Polarity = ON\n",
    "            data_point_spike_array[data_point.data.x[d]*34+data_point.data.y[d]].append(data_point.data.ts[d]//1000+time_per_exp*sum(num_examples_seen.values())+50)# Plus 50 as first 50 mseconds is just to simulate start spike\n",
    "    num_examples_seen[classs]+=1\n",
    "    idx_sa = 0\n",
    "    for sa,dpsa in zip(spike_array,data_point_spike_array):\n",
    "        spike_array[idx_sa] = sa+dpsa\n",
    "        idx_sa+=1\n",
    "num_events=0\n",
    "for i in spike_array:\n",
    "    num_events+=len(i)\n",
    "print(\"Number of events is \"+str(num_events))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Network"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Neurons"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# input\n",
    "inp = p.Population(1156,\n",
    "                   p.SpikeSourceArray(spike_array),\n",
    "                   label=\"Input\"\n",
    "                  )\n",
    "# excitatory\n",
    "exc = p.Population(n_excitatory_neurons,\n",
    "                   p.IF_cond_exp(**excitatory_neuron_parameters),\n",
    "                   initial_values={'v': excitatory_neuron_parameters[\"v_rest\"]},\n",
    "                   label=\"Excitatory\"\n",
    "                  )\n",
    "# inhibitory\n",
    "inh = p.Population(n_inhibitory_neurons,\n",
    "                   p.IF_cond_exp(**inhibitory_neuron_parameters),\n",
    "                   initial_values={'v': inhibitory_neuron_parameters[\"v_rest\"]},\n",
    "                   label=\"Inhibitory\"\n",
    "                  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Record Spikes\n",
    "inp.record(\"spikes\") # Testing\n",
    "exc.record([\"spikes\",'gsyn_exc', 'gsyn_inh','v'])\n",
    "inh.record([\"spikes\",'gsyn_exc', 'gsyn_inh','v'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Connections"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Testing stdp initial weight random generator, rand value =  0.023445535341288293\n"
     ]
    }
   ],
   "source": [
    "min_weight = 0\n",
    "max_weight = 1\n",
    "# E -> I\n",
    "# e_i_weight_rand = p.RandomDistribution(distribution='uniform',low=0.0,high=max_weight)\n",
    "p.Projection(presynaptic_population = exc,\n",
    "             postsynaptic_population = inh,\n",
    "             connector = p.OneToOneConnector(),\n",
    "             synapse_type = p.StaticSynapse(weight=1,delay=1.0),\n",
    "             receptor_type = 'excitatory'\n",
    "            )\n",
    "\n",
    "# I -> E\n",
    "i_e_connection_list = []\n",
    "for i in range(n_excitatory_neurons):\n",
    "    for j in range(n_inhibitory_neurons):\n",
    "        if not i==j:\n",
    "            i_e_connection_list.append((i,j))\n",
    "p.Projection(presynaptic_population = inh,\n",
    "             postsynaptic_population = exc,\n",
    "             connector = p.FromListConnector(i_e_connection_list),\n",
    "             synapse_type = p.StaticSynapse(weight=0.0625,delay=1.0), # 0.0001\n",
    "             receptor_type = 'inhibitory'\n",
    "            )\n",
    "\n",
    "# Input -> E\n",
    "stdp_initial_weights = p.RandomDistribution(distribution='normal_clipped',low=0,high=1, mu=0.5, sigma=0.3)\n",
    "print(\"Testing stdp initial weight random generator, rand value = \",str(stdp_initial_weights.next()))\n",
    "timing_rule = p.SpikePairRule(tau_plus=8.0,tau_minus=2.0, #8,1\n",
    "                             A_plus=0.0625,A_minus=0.0625) # 80,20\n",
    "weight_rule = p.AdditiveWeightDependence(w_max=max_weight,w_min=min_weight)\n",
    "# weight_rule = p.MultiplicativeWeightDependence(w_min=min_weight, w_max=max_weight)\n",
    "stdp_model = p.STDPMechanism(timing_dependence=timing_rule,\n",
    "                            weight_dependence=weight_rule,\n",
    "                            weight=stdp_initial_weights,delay=1.0)\n",
    "stdp_proj = p.Projection(presynaptic_population = inp,\n",
    "             postsynaptic_population = exc,\n",
    "             connector = p.AllToAllConnector(),\n",
    "             synapse_type = stdp_model,\n",
    "             receptor_type = 'excitatory'\n",
    "            )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-03-31 00:41:39 INFO: Simulating for 50 1.0ms timesteps using a hardware timestep of 100us\n",
      "2020-03-31 00:41:39 INFO: Starting execution process\n",
      "2020-03-31 00:41:46 INFO: Time 0:00:06.227491 taken by SpallocMaxMachineGenerator\n",
      "Pre allocating resources for Extra Monitor support vertices\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:01 INFO: Time 0:00:15.291808 taken by PreAllocateResourcesForExtraMonitorSupport\n",
      "Partitioning graph vertices\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Partitioning graph edges\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:09 INFO: Time 0:00:07.890204 taken by PartitionAndPlacePartitioner\n",
      "Created spalloc job 5327631\n",
      "2020-03-31 00:42:09 INFO: Created spalloc job 5327631\n",
      "Waiting for board power commands to complete.\n",
      "2020-03-31 00:42:10 INFO: Waiting for board power commands to complete.\n",
      "2020-03-31 00:42:18 INFO: Time 0:00:08.943725 taken by SpallocAllocator\n",
      "2020-03-31 00:42:18 INFO: Creating transceiver for 10.11.228.1\n",
      "2020-03-31 00:42:18 INFO: Working out if machine is booted\n",
      "2020-03-31 00:42:22 INFO: Attempting to boot machine\n",
      "2020-03-31 00:42:28 INFO: Found board with version [Version: SC&MP 3.2.5 at SpiNNaker:0:0:0 (built Thu Aug  1 08:15:06 2019)]\n",
      "2020-03-31 00:42:28 INFO: Machine communication successful\n",
      "2020-03-31 00:42:28 INFO: Detected a machine on IP address 10.11.228.1 which has 855 cores and 120.0 links\n",
      "2020-03-31 00:42:28 INFO: Time 0:00:09.645836 taken by MachineGenerator\n",
      "Generating partitioner report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:28 INFO: Time 0:00:00.015512 taken by PartitionerReport\n",
      "2020-03-31 00:42:28 INFO: Time 0:00:00.000563 taken by NetworkSpecificationReport\n",
      "Allocating virtual identifiers\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:28 INFO: Time 0:00:00.055171 taken by MallocBasedChipIDAllocator\n",
      "Inserting extra monitors into graphs\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:28 INFO: Time 0:00:00.233856 taken by InsertExtraMonitorVerticesToGraphs\n",
      "Writing the board chip report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:28 INFO: Time 0:00:00.030735 taken by BoardChipReport\n",
      "Filtering edges\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:29 INFO: Time 0:00:00.285954 taken by GraphEdgeFilter\n",
      "Placing graph vertices\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:29 INFO: Time 0:00:00.287168 taken by OneToOnePlacer\n",
      "Inserting edges between vertices which require FR speed up functionality.\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:29 INFO: Time 0:00:00.244910 taken by InsertEdgesToExtraMonitorFunctionality\n",
      "Generating routing tables for data in system processes\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:29 INFO: Time 0:00:00.013035 taken by DataInMulticastRoutingGenerator\n",
      "Generating fixed router routes\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:29 INFO: Time 0:00:00.007419 taken by FixedRouteRouter\n",
      "Generating placement report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Generating placement by core report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:29 INFO: Time 0:00:00.146508 taken by PlacerReportWithApplicationGraph\n",
      "Routing\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "\n",
      "2020-03-31 00:42:29 INFO: Time 0:00:00.037323 taken by NerRoute\n",
      "Discovering tags\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Allocating tags\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:29 INFO: Time 0:00:00.066056 taken by BasicTagAllocator\n",
      "Reporting Tags\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:29 INFO: Time 0:00:00.013219 taken by TagReport\n",
      "Getting number of keys required by each edge using application graph\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:29 INFO: Time 0:00:00.043582 taken by EdgeToNKeysMapper\n",
      "Getting constraints for application graph\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:30 INFO: Time 0:00:00.139609 taken by ProcessPartitionConstraints\n",
      "Allocating routing keys\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:30 INFO: Time 0:00:00.016216 taken by MallocBasedRoutingInfoAllocator\n",
      "Generating Routing info report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:30 INFO: Time 0:00:00.115980 taken by routingInfoReports\n",
      "Generating routing tables\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:30 INFO: Time 0:00:00.135642 taken by BasicRoutingTableGenerator\n",
      "Finding executable start types\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:30 INFO: Time 0:00:00.069814 taken by LocateExecutableStartType\n",
      "Initialising buffers\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:30 INFO: Time 0:00:00.039474 taken by BufferManagerCreator\n",
      "Generating data specifications\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:30 INFO: Time 0:00:00.303669 taken by SpynnakerDataSpecificationWriter\n",
      "Preparing Routing Tables\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:31 INFO: Time 0:00:00.016984 taken by RoutingSetup\n",
      "Finding binaries\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:31 INFO: Time 0:00:00.039086 taken by GraphBinaryGatherer\n",
      "Running routing table compression on chip\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:35 INFO: Time 0:00:04.555526 taken by MundyOnChipRouterCompression\n",
      "Generating Router table report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:35 INFO: Time 0:00:00.010632 taken by unCompressedRoutingTableReports\n",
      "loading fixed routes\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:35 INFO: Time 0:00:00.050271 taken by LoadFixedRoutes\n",
      "Executing data specifications and loading data for system vertices\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:35 INFO: Time 0:00:00.196428 taken by HostExecuteSystemDataSpecification\n",
      "Loading system executables onto the machine\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:41 INFO: Time 0:00:05.734700 taken by LoadSystemExecutableImages\n",
      "Clearing tags\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Loading Tags\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:41 INFO: Time 0:00:00.028863 taken by TagsLoader\n",
      "Writing data\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:41 INFO: Time 0:00:00.041839 taken by WriteMemoryIOData\n",
      "Executing data specifications and loading data for application vertices\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:43 INFO: Time 0:00:02.232111 taken by HostExecuteApplicationDataSpecification\n",
      "Expanding Synapses\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:48 INFO: Time 0:00:04.353130 taken by SynapseExpander\n",
      "Writing fixed route report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:48 INFO: Time 0:00:00.061465 taken by FixedRouteFromMachineReport\n",
      "Loading executables onto the machine\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:58 INFO: Time 0:00:10.362005 taken by LoadApplicationExecutableImages\n",
      "Reading Routing Tables from Machine\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:58 INFO: Time 0:00:00.019362 taken by RoutingTableFromMachineReport\n",
      "Generating compressed router table report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:58 INFO: Time 0:00:00.011227 taken by compressedRoutingTableReports\n",
      "Generating comparison of router table report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:58 INFO: Time 0:00:00.010283 taken by comparisonOfRoutingTablesReport\n",
      "2020-03-31 00:42:58 INFO: Running for 1 steps for a total of 50.0ms\n",
      "2020-03-31 00:42:58 INFO: Run 1 of 1\n",
      "Generating SDRAM usage report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:58 INFO: Time 0:00:00.109733 taken by SdramUsageReportPerChip\n",
      "Updating run time\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:58 INFO: Time 0:00:00.034973 taken by ChipRuntimeUpdater\n",
      "2020-03-31 00:42:58 INFO: creating live event connection database in /home/jovyan/NMNIST_SpiNNaker/application_generated_data_files/2020-03-31-00-41-29-215969/run_1/input_output_database.db\n",
      "Creating graph description database\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:59 INFO: Time 0:00:00.114298 taken by DatabaseInterface\n",
      "2020-03-31 00:42:59 INFO: ** Notifying external sources that the database is ready for reading **\n",
      "2020-03-31 00:42:59 INFO: Time 0:00:00.002592 taken by NotificationProtocol\n",
      "2020-03-31 00:42:59 INFO: *** Running simulation... *** \n",
      "Loading buffers\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:42:59 INFO: ** Awaiting for a response from an external source to state its ready for the simulation to start **\n",
      "2020-03-31 00:42:59 INFO: ** Sending start / resume message to external sources to state the simulation has started or resumed. **\n",
      "2020-03-31 00:42:59 INFO: ** Awaiting for a response from an external source to state its ready for the simulation to start **\n",
      "2020-03-31 00:42:59 INFO: Application started; waiting 0.6s for it to stop\n",
      "2020-03-31 00:42:59 INFO: ** Sending pause / stop message to external sources to state the simulation has been paused or stopped. **\n",
      "2020-03-31 00:42:59 INFO: Time 0:00:00.696391 taken by ApplicationRunner\n",
      "Extracting buffers from the last run\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:43:00 INFO: Time 0:00:00.274602 taken by BufferExtractor\n",
      "Getting provenance data from machine graph\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting provenance data from application graph\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:43:00 INFO: Time 0:00:00.638206 taken by GraphProvenanceGatherer\n",
      "Getting provenance data\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:43:00 INFO: Time 0:00:00.158554 taken by PlacementsProvenanceGatherer\n",
      "Getting Router Provenance\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:43:00 INFO: Time 0:00:00.121879 taken by RouterProvenanceGatherer\n",
      "Getting profile data\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:43:01 INFO: Time 0:00:00.167704 taken by ProfileDataGatherer\n",
      "Getting ['weight']s for projection between Input and Excitatory\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n"
     ]
    }
   ],
   "source": [
    "# Printing initial weights\n",
    "p.run(50)\n",
    "initial_weights = stdp_proj.get([\"weight\"],\"list\", with_address=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-03-31 00:43:01 INFO: Simulating for 22500 1.0ms timesteps using a hardware timestep of 100us\n",
      "2020-03-31 00:43:01 INFO: Starting execution process\n",
      "2020-03-31 00:43:01 INFO: Running for 1 steps for a total of 22500.0ms\n",
      "2020-03-31 00:43:01 INFO: Run 1 of 1\n",
      "Generating SDRAM usage report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:43:02 INFO: Time 0:00:00.403721 taken by SdramUsageReportPerChip\n",
      "clearing IOBUF from the machine\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:43:02 INFO: Time 0:00:00.033225 taken by ChipIOBufClearer\n",
      "Reloading data\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:43:02 INFO: Time 0:00:00.053565 taken by DSGRegionReloader\n",
      "Updating run time\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:43:02 INFO: Time 0:00:00.041667 taken by ChipRuntimeUpdater\n",
      "2020-03-31 00:43:02 INFO: ** Notifying external sources that the database is ready for reading **\n",
      "2020-03-31 00:43:02 INFO: Time 0:00:00.009478 taken by NotificationProtocol\n",
      "2020-03-31 00:43:02 INFO: *** Running simulation... *** \n",
      "Loading buffers\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:43:05 INFO: ** Awaiting for a response from an external source to state its ready for the simulation to start **\n",
      "2020-03-31 00:43:05 INFO: ** Sending start / resume message to external sources to state the simulation has started or resumed. **\n",
      "2020-03-31 00:43:05 INFO: ** Awaiting for a response from an external source to state its ready for the simulation to start **\n",
      "2020-03-31 00:43:05 INFO: Application started; waiting 225.1s for it to stop\n",
      "2020-03-31 00:46:50 INFO: ** Sending pause / stop message to external sources to state the simulation has been paused or stopped. **\n",
      "2020-03-31 00:46:50 INFO: Time 0:03:48.272749 taken by ApplicationRunner\n",
      "Extracting buffers from the last run\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:47:02 INFO: Time 0:00:11.696509 taken by BufferExtractor\n",
      "Getting provenance data from machine graph\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting provenance data from application graph\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:47:03 INFO: Time 0:00:00.901481 taken by GraphProvenanceGatherer\n",
      "Getting provenance data\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:47:03 INFO: Time 0:00:00.271084 taken by PlacementsProvenanceGatherer\n",
      "Getting Router Provenance\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:47:03 INFO: Time 0:00:00.126701 taken by RouterProvenanceGatherer\n",
      "Getting profile data\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:47:03 INFO: Time 0:00:00.141544 taken by ProfileDataGatherer\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "22550.0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Simulating\n",
    "p.run(batch_size*num_classes*time_per_exp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Getting ['weight']s for projection between Input and Excitatory\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting ['source', 'target', 'weight']s for projection between Input and Excitatory\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting spikes for Input\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting spikes for Excitatory\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting spikes for Inhibitory\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n"
     ]
    }
   ],
   "source": [
    "# Getting Weights and spikes\n",
    "weights = stdp_proj.get([\"weight\"],\"list\", with_address=False)\n",
    "weights_address = stdp_proj.get([\"weight\"],\"list\")\n",
    "# print(weights)\n",
    "inp_spikes = inp.get_data(\"spikes\")\n",
    "# print(inp_spikes.segments[0].spiketrains)\n",
    "exc_spikes = exc.get_data(\"spikes\")\n",
    "# print(exc_spikes.segments[0].spiketrains)\n",
    "inh_spikes = inh.get_data(\"spikes\")\n",
    "# print(inh_spikes.segments[0].spiketrains)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Getting v for Excitatory\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:47:05 WARNING: Warning getting data on a whole population when selective recording is active will result in only the requested neurons being returned in numerical order and without repeats.\n",
      "Getting gsyn_exc for Excitatory\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_inh for Excitatory\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting v for Inhibitory\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_exc for Inhibitory\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_inh for Inhibitory\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n"
     ]
    }
   ],
   "source": [
    "exc_v = exc.get_data(\"v\")\n",
    "exc_ge = exc.get_data('gsyn_exc')\n",
    "exc_gi = exc.get_data('gsyn_inh')\n",
    "inh_v = inh.get_data(\"v\")\n",
    "inh_ge = inh.get_data('gsyn_exc')\n",
    "inh_gi = inh.get_data('gsyn_inh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pyNN.utility.plotting.Figure at 0x7f996d4ff3c8>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x1526.4 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting spikes\n",
    "plot.Figure(\n",
    "    plot.Panel(inp_spikes.segments[0].spiketrains,yticks=True,xticks=True,xlabel=\"Time\"),\n",
    "    plot.Panel(exc_spikes.segments[0].spiketrains,yticks=True,xticks=True,xlabel=\"Time\"),\n",
    "    plot.Panel(inh_spikes.segments[0].spiketrains,yticks=True,xticks=True,xlabel=\"Time\"),\n",
    "    plot.Panel(exc_v.segments[0].filter(name='v')[0],yticks=True,xticks=True,legend=None,ylim=(-70,-50)),\n",
    "    plot.Panel(exc_v.segments[0].filter(name='v')[0],yticks=True,xticks=True,legend=None),\n",
    "    plot.Panel(inh_v.segments[0].filter(name='v')[0],yticks=True,xticks=True,legend=None),\n",
    "    plot.Panel(exc_ge.segments[0].filter(name='gsyn_exc')[0],yticks=True,xticks=True,legend=None),\n",
    "    plot.Panel(inh_gi.segments[0].filter(name='gsyn_inh')[0],yticks=True,xticks=True,legend=None),\n",
    "    plot.Panel(exc_ge.segments[0].filter(name='gsyn_exc')[0],yticks=True,xticks=True,legend=None),\n",
    "    plot.Panel(inh_gi.segments[0].filter(name='gsyn_inh')[0],yticks=True,xticks=True,legend=None)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.1875 0.5    0.8125 ... 0.375  0.5    0.6875]\n",
      "3139 out of 115600 are minimum, i.e. w = 0\n",
      "Minimum Weight is 0.0\n",
      "3 out of 115600 are maximum, i.e. w = 1\n",
      "Maximum Weight is 1.0\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(initial_weights)\n",
    "j_min = min_weight\n",
    "j_max = max_weight\n",
    "for i in list(initial_weights):\n",
    "    if i==min_weight:\n",
    "        j_min+=1\n",
    "    elif i==max_weight:\n",
    "        j_max+=1\n",
    "print(str(j_min)+\" out of \"+str(len(initial_weights))+\" are minimum, i.e. w = \"+str(min_weight))\n",
    "print(\"Minimum Weight is \"+str(min(initial_weights)))\n",
    "print(str(j_max)+\" out of \"+str(len(initial_weights))+\" are maximum, i.e. w = \"+str(max_weight))\n",
    "print(\"Maximum Weight is \"+str(max(initial_weights)))\n",
    "plt.figure()\n",
    "ax = sns.distplot(initial_weights,axlabel=\"Distribution of Initial Weights\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.1875 0.5    0.8125 ... 0.375  0.5    0.6875]\n",
      "2676 out of 115600 are minimum, i.e. w = 0\n",
      "Minimum Weight is 0.0\n",
      "27325 out of 115600 are maximum, i.e. w = 1\n",
      "Maximum Weight is 1.0\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(weights)\n",
    "j_min = min_weight\n",
    "j_max = max_weight\n",
    "for i in list(weights):\n",
    "    if i==min_weight:\n",
    "        j_min+=1\n",
    "    elif i==max_weight:\n",
    "        j_max+=1\n",
    "print(str(j_min)+\" out of \"+str(len(weights))+\" are minimum, i.e. w = \"+str(min_weight))\n",
    "print(\"Minimum Weight is \"+str(min(weights)))\n",
    "print(str(j_max)+\" out of \"+str(len(weights))+\" are maximum, i.e. w = \"+str(max_weight))\n",
    "print(\"Maximum Weight is \"+str(max(weights)))\n",
    "plt.figure()\n",
    "ax = sns.distplot(weights,axlabel=\"Distribution of Final Weights\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 200 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualizing Weights\n",
    "# 0 1 2 ...\n",
    "# 10 11 12 ...\n",
    "# 20 21 22 ...\n",
    "# ...\n",
    "# 90 91 92 ...\n",
    "nRow = int(np.sqrt(n_excitatory_neurons))\n",
    "nCol = int(np.sqrt(n_excitatory_neurons))\n",
    "fig = plt.figure(figsize=(20, 20))\n",
    "grid = ImageGrid(fig, 111,  # similar to subplot(111)\n",
    "                 nrows_ncols=(nRow, nCol),  # creates nrow x ncol grid of axes\n",
    "                 axes_pad=0.1,  # pad between axes in inch.\n",
    "                 )\n",
    "wt_imgs = [np.zeros((34,34),dtype=np.float32) for wt_img in range(n_excitatory_neurons)]\n",
    "for trgt_nrns in range(n_excitatory_neurons):\n",
    "    for tp in weights_address: # format of tuple ['source','target','weight']\n",
    "        if tp[1]==trgt_nrns:\n",
    "            wt_imgs[trgt_nrns][tp[0]//34][tp[0]%34] = ((tp[2]-min_weight)/max_weight)*255\n",
    "    \n",
    "for ax, im in zip(grid, wt_imgs):\n",
    "    # Iterating over the grid returns the Axes.\n",
    "    ax.imshow(im,cmap=cmap.get_cmap('hot_r'))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "w_diff = [i - j for i,j in zip(initial_weights,weights)]\n",
    "# plt.figure()\n",
    "# plt.hist(w_diff)\n",
    "# plt.show()\n",
    "plt.figure()\n",
    "ax = sns.distplot(w_diff,axlabel=\"Weight Difference Distribution (Initial weight - Final Weight)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-03-31 00:48:49 WARNING: No multicast packets were sent by Input:0:1155.  If you expected packets to be sent this could indicate an error\n",
      "2020-03-31 00:48:49 WARNING: During the extraction of data of 9090000 bytes from memory address 1693025604, attempt 0 had 25 sequences that were lost.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Provenance from run 0\n"
     ]
    }
   ],
   "source": [
    "# p.reset()\n",
    "p.end()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Get Labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-03-31 00:48:49 INFO: Read cfg files: /home/jovyan/sPyNNaker/lib/python3.6/site-packages/spinn_front_end_common/interface/spinnaker.cfg, /home/jovyan/sPyNNaker/lib/python3.6/site-packages/spynnaker/pyNN/spynnaker.cfg, /home/jovyan/.spynnaker.cfg\n",
      "2020-03-31 00:48:49 INFO: Will search these locations for binaries: /home/jovyan/sPyNNaker/lib/python3.6/site-packages/spinn_front_end_common/common_model_binaries : /home/jovyan/sPyNNaker/lib/python3.6/site-packages/spynnaker/pyNN/model_binaries\n",
      "2020-03-31 00:48:49 INFO: Setting time scale factor to 5.\n",
      "2020-03-31 00:48:49 INFO: Setting machine time step to 1000 micro-seconds.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9223372036854775807\n",
      "['/home/jovyan/sPyNNaker/lib/python3.6/site-packages/spinn_front_end_common/interface/spinnaker.cfg', '/home/jovyan/sPyNNaker/lib/python3.6/site-packages/spynnaker/pyNN/spynnaker.cfg', '/home/jovyan/.spynnaker.cfg']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-03-31 00:48:52 INFO: Simulating for 22500 1.0ms timesteps using a hardware timestep of 200us\n",
      "2020-03-31 00:48:52 INFO: Starting execution process\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of events is 60662\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-03-31 00:48:58 INFO: Time 0:00:06.461017 taken by SpallocMaxMachineGenerator\n",
      "Pre allocating resources for Extra Monitor support vertices\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:12 INFO: Time 0:00:13.315848 taken by PreAllocateResourcesForExtraMonitorSupport\n",
      "Partitioning graph vertices\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Partitioning graph edges\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:20 INFO: Time 0:00:07.711720 taken by PartitionAndPlacePartitioner\n",
      "Created spalloc job 5327632\n",
      "2020-03-31 00:49:20 INFO: Created spalloc job 5327632\n",
      "Waiting for board power commands to complete.\n",
      "2020-03-31 00:49:20 INFO: Waiting for board power commands to complete.\n",
      "2020-03-31 00:49:28 INFO: Time 0:00:08.947324 taken by SpallocAllocator\n",
      "2020-03-31 00:49:28 INFO: Creating transceiver for 10.11.228.1\n",
      "2020-03-31 00:49:28 INFO: Working out if machine is booted\n",
      "2020-03-31 00:49:32 INFO: Attempting to boot machine\n",
      "2020-03-31 00:49:38 INFO: Found board with version [Version: SC&MP 3.2.5 at SpiNNaker:0:0:0 (built Thu Aug  1 08:15:06 2019)]\n",
      "2020-03-31 00:49:38 INFO: Machine communication successful\n",
      "2020-03-31 00:49:38 INFO: Detected a machine on IP address 10.11.228.1 which has 855 cores and 120.0 links\n",
      "2020-03-31 00:49:38 INFO: Time 0:00:09.642517 taken by MachineGenerator\n",
      "Generating partitioner report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:38 INFO: Time 0:00:00.018851 taken by PartitionerReport\n",
      "2020-03-31 00:49:38 INFO: Time 0:00:00.000567 taken by NetworkSpecificationReport\n",
      "Allocating virtual identifiers\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:38 INFO: Time 0:00:00.039371 taken by MallocBasedChipIDAllocator\n",
      "Inserting extra monitors into graphs\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:38 INFO: Time 0:00:00.261742 taken by InsertExtraMonitorVerticesToGraphs\n",
      "Writing the board chip report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:38 INFO: Time 0:00:00.025718 taken by BoardChipReport\n",
      "Filtering edges\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:39 INFO: Time 0:00:00.319548 taken by GraphEdgeFilter\n",
      "Placing graph vertices\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:39 INFO: Time 0:00:00.334206 taken by OneToOnePlacer\n",
      "Inserting edges between vertices which require FR speed up functionality.\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:39 INFO: Time 0:00:00.107116 taken by InsertEdgesToExtraMonitorFunctionality\n",
      "Generating routing tables for data in system processes\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:39 INFO: Time 0:00:00.017243 taken by DataInMulticastRoutingGenerator\n",
      "Generating fixed router routes\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:39 INFO: Time 0:00:00.016335 taken by FixedRouteRouter\n",
      "Generating placement report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Generating placement by core report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:39 INFO: Time 0:00:00.124740 taken by PlacerReportWithApplicationGraph\n",
      "Routing\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "\n",
      "2020-03-31 00:49:40 INFO: Time 0:00:00.069848 taken by NerRoute\n",
      "Discovering tags\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Allocating tags\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:40 INFO: Time 0:00:00.098354 taken by BasicTagAllocator\n",
      "Reporting Tags\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:40 INFO: Time 0:00:00.015934 taken by TagReport\n",
      "Getting number of keys required by each edge using application graph\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:40 INFO: Time 0:00:00.061608 taken by EdgeToNKeysMapper\n",
      "Getting constraints for application graph\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:40 INFO: Time 0:00:00.067164 taken by ProcessPartitionConstraints\n",
      "Allocating routing keys\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:40 INFO: Time 0:00:00.020348 taken by MallocBasedRoutingInfoAllocator\n",
      "Generating Routing info report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:40 INFO: Time 0:00:00.065695 taken by routingInfoReports\n",
      "Generating routing tables\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:40 INFO: Time 0:00:00.062071 taken by BasicRoutingTableGenerator\n",
      "Finding executable start types\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:40 INFO: Time 0:00:00.068745 taken by LocateExecutableStartType\n",
      "Initialising buffers\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:40 INFO: Time 0:00:00.065523 taken by BufferManagerCreator\n",
      "Generating data specifications\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:41 INFO: Time 0:00:00.834911 taken by SpynnakerDataSpecificationWriter\n",
      "Preparing Routing Tables\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:41 INFO: Time 0:00:00.057632 taken by RoutingSetup\n",
      "Finding binaries\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:42 INFO: Time 0:00:00.311618 taken by GraphBinaryGatherer\n",
      "Running routing table compression on chip\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:46 INFO: Time 0:00:04.589378 taken by MundyOnChipRouterCompression\n",
      "Generating Router table report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:46 INFO: Time 0:00:00.010764 taken by unCompressedRoutingTableReports\n",
      "loading fixed routes\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:46 INFO: Time 0:00:00.056673 taken by LoadFixedRoutes\n",
      "Executing data specifications and loading data for system vertices\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:46 INFO: Time 0:00:00.201684 taken by HostExecuteSystemDataSpecification\n",
      "Loading system executables onto the machine\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:52 INFO: Time 0:00:05.718894 taken by LoadSystemExecutableImages\n",
      "Clearing tags\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Loading Tags\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:52 INFO: Time 0:00:00.019233 taken by TagsLoader\n",
      "Writing data\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:52 INFO: Time 0:00:00.023299 taken by WriteMemoryIOData\n",
      "Executing data specifications and loading data for application vertices\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:53 INFO: Time 0:00:00.709366 taken by HostExecuteApplicationDataSpecification\n",
      "Expanding Synapses\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:53 INFO: Time 0:00:00.553548 taken by SynapseExpander\n",
      "Writing fixed route report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:49:54 INFO: Time 0:00:00.069191 taken by FixedRouteFromMachineReport\n",
      "Loading executables onto the machine\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:50:00 INFO: Time 0:00:06.790124 taken by LoadApplicationExecutableImages\n",
      "Reading Routing Tables from Machine\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:50:00 INFO: Time 0:00:00.018943 taken by RoutingTableFromMachineReport\n",
      "Generating compressed router table report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:50:00 INFO: Time 0:00:00.011005 taken by compressedRoutingTableReports\n",
      "Generating comparison of router table report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:50:00 INFO: Time 0:00:00.011103 taken by comparisonOfRoutingTablesReport\n",
      "2020-03-31 00:50:00 INFO: Running for 1 steps for a total of 22500.0ms\n",
      "2020-03-31 00:50:00 INFO: Run 1 of 1\n",
      "Generating SDRAM usage report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:50:01 INFO: Time 0:00:00.106937 taken by SdramUsageReportPerChip\n",
      "Updating run time\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:50:01 INFO: Time 0:00:00.036099 taken by ChipRuntimeUpdater\n",
      "2020-03-31 00:50:01 INFO: creating live event connection database in /home/jovyan/NMNIST_SpiNNaker/application_generated_data_files/2020-03-31-00-48-49-694897/run_1/input_output_database.db\n",
      "Creating graph description database\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:50:01 INFO: Time 0:00:00.144751 taken by DatabaseInterface\n",
      "2020-03-31 00:50:01 INFO: ** Notifying external sources that the database is ready for reading **\n",
      "2020-03-31 00:50:01 INFO: Time 0:00:00.002706 taken by NotificationProtocol\n",
      "2020-03-31 00:50:01 INFO: *** Running simulation... *** \n",
      "Loading buffers\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:50:04 INFO: ** Awaiting for a response from an external source to state its ready for the simulation to start **\n",
      "2020-03-31 00:50:04 INFO: ** Sending start / resume message to external sources to state the simulation has started or resumed. **\n",
      "2020-03-31 00:50:04 INFO: ** Awaiting for a response from an external source to state its ready for the simulation to start **\n",
      "2020-03-31 00:50:04 INFO: Application started; waiting 112.6s for it to stop\n",
      "2020-03-31 00:51:57 INFO: ** Sending pause / stop message to external sources to state the simulation has been paused or stopped. **\n",
      "2020-03-31 00:51:57 INFO: Time 0:01:56.395940 taken by ApplicationRunner\n",
      "Extracting buffers from the last run\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:51:57 INFO: Time 0:00:00.239801 taken by BufferExtractor\n",
      "Getting provenance data from machine graph\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting provenance data from application graph\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:51:58 INFO: Time 0:00:00.113807 taken by GraphProvenanceGatherer\n",
      "Getting provenance data\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:51:58 INFO: Time 0:00:00.059275 taken by PlacementsProvenanceGatherer\n",
      "Getting Router Provenance\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:51:58 INFO: Time 0:00:00.097903 taken by RouterProvenanceGatherer\n",
      "Getting profile data\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2020-03-31 00:51:58 INFO: Time 0:00:00.073113 taken by ProfileDataGatherer\n",
      "Getting spikes for Input\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting spikes for Excitatory\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n"
     ]
    }
   ],
   "source": [
    "import pyNN.spiNNaker as p\n",
    "import matplotlib.pyplot as plt\n",
    "import pyNN.utility.plotting as plot\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import os\n",
    "import sys\n",
    "%matplotlib inline\n",
    "\n",
    "# Printing max length of array that can be created\n",
    "print(sys.maxsize)\n",
    "\n",
    "# Importing functions for NMNIST Data\n",
    "import eventvision as ev\n",
    "\n",
    "# Setting up simulation\n",
    "p.setup(timestep=1,time_scale_factor=5)\n",
    "# p.set_number_of_neurons_per_core(neuron_type=p.IF_cond_exp(),max_permitted=150)\n",
    "\n",
    "num_examples_seen = {}\n",
    "for c in classes:\n",
    "    num_examples_seen[c]=0\n",
    "spike_array = [[] for _ in range(34*34)]\n",
    "for classs in class_history:\n",
    "    data_point = ev.read_dataset(os.getcwd()+\"/data/train/\"+str(classs)+\"/\"+str(training_data_lists[classs][num_examples_seen[classs]]))\n",
    "    data_point_spike_array = [[] for _ in range(34*34)]\n",
    "    for d in range(len(data_point.data.x)):\n",
    "        if data_point.data.p[d]: # Polarity = ON\n",
    "            data_point_spike_array[data_point.data.x[d]*34+data_point.data.y[d]].append(data_point.data.ts[d]//1000+time_per_exp*sum(num_examples_seen.values()))# Plus 50 as first 50 mseconds is just to simulate start spike\n",
    "    num_examples_seen[classs]+=1\n",
    "    idx_sa = 0\n",
    "    for sa,dpsa in zip(spike_array,data_point_spike_array):\n",
    "        spike_array[idx_sa] = sa+dpsa\n",
    "        idx_sa+=1\n",
    "num_events=0\n",
    "for i in spike_array:\n",
    "    num_events+=len(i)\n",
    "print(\"Number of events is \"+str(num_events))\n",
    "\n",
    "# input\n",
    "inp = p.Population(1156,\n",
    "                   p.SpikeSourceArray(spike_array),\n",
    "                   label=\"Input\"\n",
    "                  )\n",
    "# excitatory\n",
    "exc = p.Population(n_excitatory_neurons,\n",
    "                   p.IF_cond_exp(**excitatory_neuron_parameters),\n",
    "                   initial_values={'v': excitatory_neuron_parameters[\"v_rest\"]},\n",
    "                   label=\"Excitatory\"\n",
    "                  )\n",
    "# inhibitory\n",
    "inh = p.Population(n_inhibitory_neurons,\n",
    "                   p.IF_cond_exp(**inhibitory_neuron_parameters),\n",
    "                   initial_values={'v': inhibitory_neuron_parameters[\"v_rest\"]},\n",
    "                   label=\"Inhibitory\"\n",
    "                  )\n",
    "\n",
    "# Record Spikes\n",
    "inp.record([\"spikes\"])\n",
    "exc.record([\"spikes\"])\n",
    "\n",
    "max_weight = 1\n",
    "# E -> I\n",
    "# e_i_weight_rand = p.RandomDistribution(distribution='uniform',low=0.0,high=max_weight)\n",
    "p.Projection(presynaptic_population = exc,\n",
    "             postsynaptic_population = inh,\n",
    "             connector = p.OneToOneConnector(),\n",
    "             synapse_type = p.StaticSynapse(weight=1,delay=1.0),\n",
    "             receptor_type = 'excitatory'\n",
    "            )\n",
    "\n",
    "# I -> E\n",
    "i_e_connection_list = []\n",
    "for i in range(n_excitatory_neurons):\n",
    "    for j in range(n_inhibitory_neurons):\n",
    "        if not i==j:\n",
    "            i_e_connection_list.append((i,j))\n",
    "p.Projection(presynaptic_population = inh,\n",
    "             postsynaptic_population = exc,\n",
    "             connector = p.FromListConnector(i_e_connection_list),\n",
    "             synapse_type = p.StaticSynapse(weight=0.1,delay=1.0),\n",
    "             receptor_type = 'inhibitory'\n",
    "            )\n",
    "# Input -> E\n",
    "stdp_proj = p.Projection(presynaptic_population = inp,\n",
    "             postsynaptic_population = exc,\n",
    "             connector = p.AllToAllConnector(),\n",
    "             synapse_type = p.StaticSynapse(weight=weights,delay=1.0),\n",
    "             receptor_type = 'excitatory'\n",
    "            )\n",
    "\n",
    "p.run(len(class_history)*time_per_exp)\n",
    "\n",
    "inp_spikes = inp.get_data(\"spikes\")\n",
    "exc_spikes = exc.get_data(\"spikes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pyNN.utility.plotting.Figure at 0x7f991c869390>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x374.4 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot.Figure(\n",
    "    plot.Panel(inp_spikes.segments[0].spiketrains,yticks=True,xticks=True,xlabel=\"Time\"),\n",
    "    plot.Panel(exc_spikes.segments[0].spiketrains,yticks=True,xticks=True,xlabel=\"Time\")\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of examples seen\n",
      "{6: 10, 9: 10, 5: 10}\n",
      "Labels\n",
      "[9, 9, 9, 6, 9, 9, 5, 9, 5, 9, 9, 9, 9, 9, 9, 5, 9, 9, 9, 9, 9, 9, 6, 9, 9, 9, 9, 9, 9, 9, 6, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 5, 9, 9, 9, 9, 5, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 6, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 5, 5, 5, 9, 6, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 5, 9, 5, 9, 9, 9, 9, 9]\n",
      "Number of labels\n",
      "{6: 5, 9: 85, 5: 10}\n"
     ]
    }
   ],
   "source": [
    "spikes = exc_spikes.segments[0].spiketrains\n",
    "# print(spikes)\n",
    "spike_counts = [{i:0 for i in classes} for i in range(n_excitatory_neurons)]\n",
    "for i in range(n_excitatory_neurons):\n",
    "#     print(i)\n",
    "    for j in list(spikes[i]):\n",
    "#         print(0,i,int(j)%500)\n",
    "#         print(1,i,class_history[int(j)//500])\n",
    "        spike_counts[i][class_history[int(j)//time_per_exp]]+=1\n",
    "labels = [0]*100\n",
    "for i in range(len(spike_counts)):\n",
    "    labels[i] = max(spike_counts[i], key=spike_counts[i].get)\n",
    "print(\"Number of examples seen\")\n",
    "print(num_examples_seen)\n",
    "print(\"Labels\")\n",
    "print(labels)\n",
    "num_labels = {i:0 for i in classes}\n",
    "for i in labels:\n",
    "    num_labels[i]+=1\n",
    "print(\"Number of labels\")\n",
    "print(num_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{6: 226, 9: 355, 5: 255},\n",
       " {6: 246, 9: 353, 5: 212},\n",
       " {6: 243, 9: 287, 5: 254},\n",
       " {6: 284, 9: 283, 5: 254},\n",
       " {6: 258, 9: 321, 5: 300},\n",
       " {6: 232, 9: 374, 5: 231},\n",
       " {6: 292, 9: 304, 5: 362},\n",
       " {6: 244, 9: 298, 5: 293},\n",
       " {6: 263, 9: 292, 5: 315},\n",
       " {6: 228, 9: 264, 5: 210},\n",
       " {6: 248, 9: 342, 5: 325},\n",
       " {6: 193, 9: 320, 5: 288},\n",
       " {6: 289, 9: 354, 5: 265},\n",
       " {6: 284, 9: 355, 5: 254},\n",
       " {6: 262, 9: 289, 5: 239},\n",
       " {6: 228, 9: 285, 5: 297},\n",
       " {6: 249, 9: 364, 5: 343},\n",
       " {6: 183, 9: 338, 5: 251},\n",
       " {6: 220, 9: 353, 5: 239},\n",
       " {6: 225, 9: 338, 5: 287},\n",
       " {6: 224, 9: 309, 5: 261},\n",
       " {6: 279, 9: 290, 5: 283},\n",
       " {6: 331, 9: 317, 5: 234},\n",
       " {6: 204, 9: 273, 5: 204},\n",
       " {6: 275, 9: 366, 5: 237},\n",
       " {6: 237, 9: 338, 5: 309},\n",
       " {6: 280, 9: 336, 5: 265},\n",
       " {6: 274, 9: 321, 5: 211},\n",
       " {6: 153, 9: 290, 5: 224},\n",
       " {6: 228, 9: 368, 5: 207},\n",
       " {6: 322, 9: 280, 5: 255},\n",
       " {6: 212, 9: 320, 5: 265},\n",
       " {6: 270, 9: 347, 5: 220},\n",
       " {6: 272, 9: 319, 5: 220},\n",
       " {6: 269, 9: 273, 5: 228},\n",
       " {6: 215, 9: 315, 5: 247},\n",
       " {6: 242, 9: 325, 5: 316},\n",
       " {6: 261, 9: 337, 5: 272},\n",
       " {6: 232, 9: 323, 5: 270},\n",
       " {6: 207, 9: 356, 5: 245},\n",
       " {6: 230, 9: 332, 5: 294},\n",
       " {6: 288, 9: 357, 5: 305},\n",
       " {6: 252, 9: 408, 5: 273},\n",
       " {6: 251, 9: 395, 5: 304},\n",
       " {6: 223, 9: 330, 5: 359},\n",
       " {6: 243, 9: 298, 5: 249},\n",
       " {6: 192, 9: 358, 5: 233},\n",
       " {6: 287, 9: 343, 5: 275},\n",
       " {6: 262, 9: 335, 5: 275},\n",
       " {6: 245, 9: 267, 5: 336},\n",
       " {6: 231, 9: 335, 5: 281},\n",
       " {6: 300, 9: 322, 5: 238},\n",
       " {6: 282, 9: 320, 5: 217},\n",
       " {6: 239, 9: 377, 5: 254},\n",
       " {6: 231, 9: 338, 5: 319},\n",
       " {6: 273, 9: 361, 5: 309},\n",
       " {6: 230, 9: 393, 5: 255},\n",
       " {6: 235, 9: 335, 5: 306},\n",
       " {6: 267, 9: 299, 5: 297},\n",
       " {6: 240, 9: 327, 5: 290},\n",
       " {6: 287, 9: 395, 5: 247},\n",
       " {6: 224, 9: 363, 5: 340},\n",
       " {6: 291, 9: 333, 5: 306},\n",
       " {6: 261, 9: 309, 5: 204},\n",
       " {6: 191, 9: 366, 5: 278},\n",
       " {6: 342, 9: 332, 5: 277},\n",
       " {6: 274, 9: 323, 5: 259},\n",
       " {6: 252, 9: 361, 5: 271},\n",
       " {6: 282, 9: 325, 5: 233},\n",
       " {6: 201, 9: 319, 5: 287},\n",
       " {6: 299, 9: 359, 5: 269},\n",
       " {6: 163, 9: 383, 5: 278},\n",
       " {6: 256, 9: 312, 5: 277},\n",
       " {6: 241, 9: 337, 5: 267},\n",
       " {6: 301, 9: 336, 5: 248},\n",
       " {6: 268, 9: 331, 5: 304},\n",
       " {6: 332, 9: 346, 5: 276},\n",
       " {6: 218, 9: 289, 5: 320},\n",
       " {6: 214, 9: 281, 5: 312},\n",
       " {6: 257, 9: 324, 5: 370},\n",
       " {6: 252, 9: 367, 5: 324},\n",
       " {6: 321, 9: 309, 5: 254},\n",
       " {6: 224, 9: 324, 5: 232},\n",
       " {6: 244, 9: 340, 5: 198},\n",
       " {6: 240, 9: 362, 5: 290},\n",
       " {6: 216, 9: 369, 5: 249},\n",
       " {6: 162, 9: 371, 5: 301},\n",
       " {6: 270, 9: 339, 5: 302},\n",
       " {6: 284, 9: 408, 5: 314},\n",
       " {6: 244, 9: 324, 5: 266},\n",
       " {6: 266, 9: 375, 5: 229},\n",
       " {6: 226, 9: 346, 5: 261},\n",
       " {6: 277, 9: 276, 5: 307},\n",
       " {6: 230, 9: 358, 5: 287},\n",
       " {6: 260, 9: 270, 5: 293},\n",
       " {6: 329, 9: 342, 5: 269},\n",
       " {6: 297, 9: 315, 5: 297},\n",
       " {6: 203, 9: 367, 5: 283},\n",
       " {6: 291, 9: 318, 5: 308},\n",
       " {6: 124, 9: 375, 5: 234}]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spike_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# p.reset()\n",
    "p.end()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Get Accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import pyNN.spiNNaker as p\n",
    "# import matplotlib.pyplot as plt\n",
    "# import pyNN.utility.plotting as plot\n",
    "# import numpy as np\n",
    "# import seaborn as sns\n",
    "# import os\n",
    "# import sys\n",
    "# %matplotlib inline\n",
    "\n",
    "# # Printing max length of array that can be created\n",
    "# print(sys.maxsize)\n",
    "\n",
    "# # Importing functions for NMNIST Data\n",
    "# import eventvision as ev\n",
    "\n",
    "# # Setting up simulation\n",
    "# p.setup(timestep=1,time_scale_factor=5)\n",
    "# # p.set_number_of_neurons_per_core(neuron_type=p.IF_cond_exp(),max_permitted=150)\n",
    "\n",
    "# num_examples_seen = [0]*num_classes\n",
    "# spike_array = [[] for _ in range(34*34)]\n",
    "# for classs in class_history:\n",
    "#     data_point = ev.read_dataset(os.getcwd()+\"/data/train/\"+str(classs)+\"/\"+str(training_data_lists[classs][num_examples_seen[classs]]))\n",
    "#     data_point_spike_array = [[] for _ in range(34*34)]\n",
    "#     for d in range(len(data_point.data.x)):\n",
    "#         if data_point.data.p[d]: # Polarity = ON\n",
    "#             data_point_spike_array[data_point.data.x[d]*34+data_point.data.y[d]].append(data_point.data.ts[d]//1000+time_per_exp*sum(num_examples_seen))# Plus 50 as first 50 mseconds is just to simulate start spike\n",
    "#     num_examples_seen[classs]+=1\n",
    "#     idx_sa = 0\n",
    "#     for sa,dpsa in zip(spike_array,data_point_spike_array):\n",
    "#         spike_array[idx_sa] = sa+dpsa\n",
    "#         idx_sa+=1\n",
    "# num_events=0\n",
    "# for i in spike_array:\n",
    "#     num_events+=len(i)\n",
    "# print(\"Number of events is \"+str(num_events))\n",
    "\n",
    "# # input\n",
    "# inp = p.Population(1156,\n",
    "#                    p.SpikeSourceArray(spike_array),\n",
    "#                    label=\"Input\"\n",
    "#                   )\n",
    "# # excitatory\n",
    "# exc = p.Population(n_excitatory_neurons,\n",
    "#                    p.IF_cond_exp(**excitatory_neuron_parameters),\n",
    "#                    initial_values={'v': excitatory_neuron_parameters[\"v_rest\"]},\n",
    "#                    label=\"Excitatory\"\n",
    "#                   )\n",
    "# # inhibitory\n",
    "# inh = p.Population(n_inhibitory_neurons,\n",
    "#                    p.IF_cond_exp(**inhibitory_neuron_parameters),\n",
    "#                    initial_values={'v': inhibitory_neuron_parameters[\"v_rest\"]},\n",
    "#                    label=\"Inhibitory\"\n",
    "#                   )\n",
    "\n",
    "# # Record Spikes\n",
    "# exc.record([\"spikes\"])\n",
    "\n",
    "# max_weight = 1\n",
    "# # E -> I\n",
    "# # e_i_weight_rand = p.RandomDistribution(distribution='uniform',low=0.0,high=max_weight)\n",
    "# p.Projection(presynaptic_population = exc,\n",
    "#              postsynaptic_population = inh,\n",
    "#              connector = p.OneToOneConnector(),\n",
    "#              synapse_type = p.StaticSynapse(weight=1,delay=1.0),\n",
    "#              receptor_type = 'excitatory'\n",
    "#             )\n",
    "\n",
    "# # I -> E\n",
    "# i_e_connection_list = []\n",
    "# for i in range(n_excitatory_neurons):\n",
    "#     for j in range(n_inhibitory_neurons):\n",
    "#         if not i==j:\n",
    "#             i_e_connection_list.append((i,j))\n",
    "# p.Projection(presynaptic_population = inh,\n",
    "#              postsynaptic_population = exc,\n",
    "#              connector = p.FromListConnector(i_e_connection_list),\n",
    "#              synapse_type = p.StaticSynapse(weight=0.1,delay=1.0),\n",
    "#              receptor_type = 'inhibitory'\n",
    "#             )\n",
    "# # Input -> E\n",
    "# stdp_proj = p.Projection(presynaptic_population = inp,\n",
    "#              postsynaptic_population = exc,\n",
    "#              connector = p.AllToAllConnector(),\n",
    "#              synapse_type = p.StaticSynapse(weight=weights,delay=1.0),\n",
    "#              receptor_type = 'excitatory'\n",
    "#             )\n",
    "\n",
    "# p.run(len(class_history)*time_per_exp)\n",
    "\n",
    "# exc_spikes = exc.get_data(\"spikes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "sPyNNaker",
   "language": "python",
   "name": "spynnaker"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}