anisotropic_readout-learning_random.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Allow reload of objects\n",
    "%load_ext autoreload\n",
    "%autoreload\n",
    "from pelenet.utils import Utils\n",
    "from pelenet.experiments.readoutrandom import ReadoutRandomExperiment\n",
    "\n",
    "# Official modules\n",
    "import numpy as np\n",
    "import nxsdk.api.n2a as nx\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "from matplotlib import colors\n",
    "import os\n",
    "from time import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initilizes the experiment and utils\n",
    "exp = ReadoutRandomExperiment()\n",
    "utils = Utils.instance()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.187"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Build network\n",
    "exp.build()\n",
    "\n",
    "# Get spectral radius\n",
    "utils.getSpectralRadius(exp.net.initialWeights)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1;30m\u001b[1;30mWARNING\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:  \u001b[33melementType would be deprecated in 0.9 in favor of messageSize, which provides more flexibility\u001b[0m\n",
      "\u001b[1;30m\u001b[1;30mWARNING\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:  \u001b[33melementType would be deprecated in 0.9 in favor of messageSize, which provides more flexibility\u001b[0m\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:  Connecting to 127.0.0.1:38461\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Host server up..............Done 0.06s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Encoding axons/synapses.....Done 17.20s\n",
      "\u001b[1;30m\u001b[1;30mWARNING\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:  \u001b[33m~/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages ~/05-reward/v0.x\n",
      "Compiling in directory : /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543\n",
      "Include dir is : /home/seq/05-reward/v0.x/pelenet/snips/ -I/home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/graph/nxinputgen/../../snips/\n",
      "Compiling -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/initnetwork_0_0.c\n",
      "gcc -Wall -I/home/seq/05-reward/v0.x/pelenet/snips/ -I/home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/graph/nxinputgen/../../snips/ -Inxsdk/include -fno-stack-protector -msoft-float -m32 -march=i586 -fno-builtin-printf -fno-builtin-sprintf -fno-builtin-fprintf -fno-builtin-memcpy -fstrict-volatile-bitfields -Os -DNDEBUG -std=c99 -o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/initnetwork_0_0.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/initnetwork_0_0.c\n",
      "Compiling without -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/0_spiking_packed.c\n",
      "gcc -Wall -I/home/seq/05-reward/v0.x/pelenet/snips/ -I/home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/graph/nxinputgen/../../snips/ -Inxsdk/include -fno-stack-protector -msoft-float -m32 -march=i586 -fno-builtin-printf -fno-builtin-sprintf -fno-builtin-fprintf -fno-builtin-memcpy -fstrict-volatile-bitfields -Os -DNDEBUG -std=c99 -o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/0_spiking_packed.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/0_spiking_packed.c\n",
      "Compiling without -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/1_reset_init.c\n",
      "gcc -Wall -I/home/seq/05-reward/v0.x/pelenet/snips/ -I/home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/graph/nxinputgen/../../snips/ -Inxsdk/include -fno-stack-protector -msoft-float -m32 -march=i586 -fno-builtin-printf -fno-builtin-sprintf -fno-builtin-fprintf -fno-builtin-memcpy -fstrict-volatile-bitfields -Os -DNDEBUG -std=c99 -o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/1_reset_init.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/1_reset_init.c\n",
      "Compiling without -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/2_reset.c\n",
      "gcc -Wall -I/home/seq/05-reward/v0.x/pelenet/snips/ -I/home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/graph/nxinputgen/../../snips/ -Inxsdk/include -fno-stack-protector -msoft-float -m32 -march=i586 -fno-builtin-printf -fno-builtin-sprintf -fno-builtin-fprintf -fno-builtin-memcpy -fstrict-volatile-bitfields -Os -DNDEBUG -std=c99 -o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/2_reset.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/2_reset.c\n",
      "/home/seq/05-reward/v0.x/pelenet/snips//reset.c: In function ‘reset’:\n",
      "/home/seq/05-reward/v0.x/pelenet/snips//reset.c:45:9: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing]\n",
      "         nx_fast_init64(nc->cx_state, neuronsPerCore, *(uint64_t*)&cxs);\n",
      "         ^~~~~~~~~~~~~~\n",
      "/home/seq/05-reward/v0.x/pelenet/snips//reset.c:60:13: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing]\n",
      "             nx_fast_init32(nc->cx_meta_state, neuronsPerCore/4, *(uint32_t*)&ms);\n",
      "             ^~~~~~~~~~~~~~\n",
      "Compiling without -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/main_0_0.c\n",
      "gcc -Wall -I/home/seq/05-reward/v0.x/pelenet/snips/ -I/home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/graph/nxinputgen/../../snips/ -Inxsdk/include -fno-stack-protector -msoft-float -m32 -march=i586 -fno-builtin-printf -fno-builtin-sprintf -fno-builtin-fprintf -fno-builtin-memcpy -fstrict-volatile-bitfields -Os -DNDEBUG -std=c99 -o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/main_0_0.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/main_0_0.c\n",
      "OBJFILES :  /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/initnetwork_0_0.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/0_spiking_packed.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/1_reset_init.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/2_reset.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/main_0_0.c.o\n",
      "gcc -Wall -fno-stack-protector -msoft-float -m32 -march=i586 -fno-builtin-printf -fno-builtin-sprintf -fno-builtin-fprintf -fno-builtin-memcpy -fstrict-volatile-bitfields -Os -DNDEBUG -std=c99 /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/initnetwork_0_0.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/0_spiking_packed.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/1_reset_init.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/2_reset.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/main_0_0.c.o -o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/launcher.link nxsdk/lib/embedded/libboot.a nxsdk/lib/embedded/libembedded_nx.a nxsdk/lib/embedded/liblmt.a nxsdk/lib/embedded/libnx.a -Wl,--script=nxsdk/utils/linker.scr -Wl,--build-id=none -Wl,-N -nostdlib\n",
      "\u001b[0m\n",
      "\u001b[1;30m\u001b[1;30mWARNING\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:  \u001b[33m~/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages ~/05-reward/v0.x\n",
      "Compiling in directory : /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543\n",
      "Include dir is : /home/seq/05-reward/v0.x/pelenet/snips/\n",
      "Compiling -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/initnetwork_1_0.c\n",
      "gcc -Wall -I/home/seq/05-reward/v0.x/pelenet/snips/ -Inxsdk/include -fno-stack-protector -msoft-float -m32 -march=i586 -fno-builtin-printf -fno-builtin-sprintf -fno-builtin-fprintf -fno-builtin-memcpy -fstrict-volatile-bitfields -Os -DNDEBUG -std=c99 -o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/initnetwork_1_0.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/initnetwork_1_0.c\n",
      "Compiling without -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/0_reset_init.c\n",
      "gcc -Wall -I/home/seq/05-reward/v0.x/pelenet/snips/ -Inxsdk/include -fno-stack-protector -msoft-float -m32 -march=i586 -fno-builtin-printf -fno-builtin-sprintf -fno-builtin-fprintf -fno-builtin-memcpy -fstrict-volatile-bitfields -Os -DNDEBUG -std=c99 -o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/0_reset_init.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/0_reset_init.c\n",
      "Compiling without -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/1_reset.c\n",
      "gcc -Wall -I/home/seq/05-reward/v0.x/pelenet/snips/ -Inxsdk/include -fno-stack-protector -msoft-float -m32 -march=i586 -fno-builtin-printf -fno-builtin-sprintf -fno-builtin-fprintf -fno-builtin-memcpy -fstrict-volatile-bitfields -Os -DNDEBUG -std=c99 -o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/1_reset.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/1_reset.c\n",
      "/home/seq/05-reward/v0.x/pelenet/snips//reset.c: In function ‘reset’:\n",
      "/home/seq/05-reward/v0.x/pelenet/snips//reset.c:45:9: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing]\n",
      "         nx_fast_init64(nc->cx_state, neuronsPerCore, *(uint64_t*)&cxs);\n",
      "         ^~~~~~~~~~~~~~\n",
      "/home/seq/05-reward/v0.x/pelenet/snips//reset.c:60:13: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing]\n",
      "             nx_fast_init32(nc->cx_meta_state, neuronsPerCore/4, *(uint32_t*)&ms);\n",
      "             ^~~~~~~~~~~~~~\n",
      "Compiling without -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/main_1_0.c\n",
      "gcc -Wall -I/home/seq/05-reward/v0.x/pelenet/snips/ -Inxsdk/include -fno-stack-protector -msoft-float -m32 -march=i586 -fno-builtin-printf -fno-builtin-sprintf -fno-builtin-fprintf -fno-builtin-memcpy -fstrict-volatile-bitfields -Os -DNDEBUG -std=c99 -o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/main_1_0.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/main_1_0.c\n",
      "OBJFILES :  /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/initnetwork_1_0.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/0_reset_init.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/1_reset.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/main_1_0.c.o\n",
      "gcc -Wall -fno-stack-protector -msoft-float -m32 -march=i586 -fno-builtin-printf -fno-builtin-sprintf -fno-builtin-fprintf -fno-builtin-memcpy -fstrict-volatile-bitfields -Os -DNDEBUG -std=c99 /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/initnetwork_1_0.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/0_reset_init.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/1_reset.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/main_1_0.c.o -o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/launcher.link nxsdk/lib/embedded/libboot.a nxsdk/lib/embedded/libembedded_nx.a nxsdk/lib/embedded/liblmt.a nxsdk/lib/embedded/libnx.a -Wl,--script=nxsdk/utils/linker.scr -Wl,--build-id=none -Wl,-N -nostdlib\n",
      "\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Compiling Embedded snips....Done 0.61s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  Using Kapoho Bay serial number 308\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  Args chip=0 cpu=0 /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/launcher_chip0_lmt0.bin --chips=2 --remote-relay=0 --epoch=0 \n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  Args chip=1 cpu=0 /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1595334259.5370543/launcher_chip1_lmt0.bin --chips=2 --remote-relay=0 --epoch=0 \n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  Lakemont_driver...\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Booting up..................Done 1.28s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Encoding probes.............Done 8.96ms\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Configuring registers.......Done 18.15s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Transferring spikes.........Done 0.05s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Transferring probes.........Done 0.02s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Transfered values 20, 245, 30 \n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Transfered values 20, 245, 30 \n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 0 to 30\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 0 to 30\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 30\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 30\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 245 to 275\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 245 to 275\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 275\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 275\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 490 to 520\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 490 to 520\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 520\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 520\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 735 to 765\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 735 to 765\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 765\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 765\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 980 to 1010\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 980 to 1010\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 1010\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 1010\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 1225 to 1255\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 1225 to 1255\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 1255\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 1255\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 1470 to 1500\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 1470 to 1500\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 1500\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 1500\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 1715 to 1745\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 1715 to 1745\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 1745\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 1745\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 1960 to 1990\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 1960 to 1990\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 1990\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 1990\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 2205 to 2235\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 2205 to 2235\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 2235\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 2235\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 2450 to 2480\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 2450 to 2480\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 2480\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 2480\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 2695 to 2725\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 2695 to 2725\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 2725\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 2725\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 2940 to 2970\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 2940 to 2970\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 2970\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 2970\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 3185 to 3215\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 3185 to 3215\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 3215\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 3215\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 3430 to 3460\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 3430 to 3460\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 3460\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 3460\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 3675 to 3705\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 3675 to 3705\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 3705\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 3705\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 3920 to 3950\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 3920 to 3950\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 3950\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 3950\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 4165 to 4195\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 4165 to 4195\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 4195\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 4195\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 4410 to 4440\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 4410 to 4440\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 4440\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 4440\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 4655 to 4685\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 4655 to 4685\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 4685\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 4685\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 4900 to 4930\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 4900 to 4930\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 4930\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 4930\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 5145 to 5175\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 5145 to 5175\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 5175\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 5175\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 5390 to 5420\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 5390 to 5420\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 5420\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 5420\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 5635 to 5665\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 5635 to 5665\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 5665\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 5665\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset current/voltage from time step 5880 to 5910\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 5880 to 5910\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 Reset functional state at 5910\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 5910\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Executing...................Done 402.63s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Processing timeseries.......Done 2.52s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:  Executor: 6125 timesteps........Done 423.38s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 halted, status=0x0\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m:  chip=1 cpu=0 halted, status=0x0\n"
     ]
    }
   ],
   "source": [
    "exp.run()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "16.1052\n"
     ]
    }
   ],
   "source": [
    "# Readout: Reservoir only\n",
    "print(402.63/25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.7252\n"
     ]
    }
   ],
   "source": [
    "# Readout: Pool only\n",
    "print(43.13/25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "exp.net.plot.reservoirSpikeTrain(fr=0, to=750, colorEx=exp.p.pltColor4, figsize=(10,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "exp.net.plot.reservoirRates(fr=0, to=750, ylim=(0.0,0.3), colorEx=exp.p.pltColor4, figsize=(10,2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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": [
    "exp.net.plot.outputSpikeTrain(fr=0, to=500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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": [
    "exp.net.plot.outputRates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#np.save('data/comparison/spikes_ex-random.npy', exp.net.condenseSpikeProbes(exp.net.exSpikeTrains))\n",
    "#np.save('data/comparison/spikes_out-random.npy', exp.net.condenseSpikeProbes(exp.net.outSpikeTrains))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}