anisotropic_readout-learning_anisotropic.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.readoutanisotropic import AnisotropicReadoutExperiment\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 matplotlib import colors\n",
    "import os\n",
    "from time import time\n",
    "from tqdm import tqdm\n",
    "from scipy.stats.stats import pearsonr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initilizes the experiment and utils\n",
    "exp = AnisotropicReadoutExperiment()\n",
    "utils = Utils.instance()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.665"
      ]
     },
     "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 127.0.0.1:36009\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Host server up..............Done 0.05s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Encoding axons/synapses.....Done 15.04s\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/1594904757.6485827\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/1594904757.6485827/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/1594904757.6485827/initnetwork_0_0.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/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/1594904757.6485827/0_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/1594904757.6485827/0_spiking_packed.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/0_spiking_packed.c\n",
      "Compiling without -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/1_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/1594904757.6485827/1_reset_init.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/1_reset_init.c\n",
      "Compiling without -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/2_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/1594904757.6485827/2_reset.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/2_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/1594904757.6485827/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/1594904757.6485827/main_0_0.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/main_0_0.c\n",
      "OBJFILES :  /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/initnetwork_0_0.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/0_spiking_packed.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/1_reset_init.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/2_reset.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/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/1594904757.6485827/initnetwork_0_0.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/0_spiking_packed.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/1_reset_init.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/2_reset.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/main_0_0.c.o -o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/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/1594904757.6485827\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/1594904757.6485827/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/1594904757.6485827/initnetwork_1_0.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/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/1594904757.6485827/0_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/1594904757.6485827/0_reset_init.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/0_reset_init.c\n",
      "Compiling without -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/1_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/1594904757.6485827/1_reset.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/1_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/1594904757.6485827/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/1594904757.6485827/main_1_0.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/main_1_0.c\n",
      "OBJFILES :  /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/initnetwork_1_0.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/0_reset_init.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/1_reset.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/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/1594904757.6485827/initnetwork_1_0.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/0_reset_init.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/1_reset.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/main_1_0.c.o -o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.5/site-packages/nxsdk/driver/compilers/../../../temp/1594904757.6485827/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 0.57s\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/1594904757.6485827/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/1594904757.6485827/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 1.75s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Encoding probes.............Done 1.76ms\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Configuring registers.......Done 15.29s\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 1.84ms\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 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 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 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 functional state at 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=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 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 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 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 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 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 functional state at 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 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=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 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 functional state at 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=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 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 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 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 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 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 functional state at 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=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 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 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 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=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 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 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 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 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 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 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 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 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 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 functional state at 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 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=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 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 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 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 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 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 functional state at 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 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 37.24s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Processing timeseries.......Done 0.08s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:  Executor: 6125 timesteps........Done 52.68s\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": [
    "# Run network\n",
    "exp.run()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15.7276\n",
      "7.8638\n",
      "1.4896\n",
      "0.7448\n"
     ]
    }
   ],
   "source": [
    "# Reservoir\n",
    "\"\"\"\n",
    "INFO:DRV:      Executing...................Done 393.19s\n",
    "INFO:DRV:      Processing timeseries.......Done 2.09s\n",
    "INFO:DRV:  Executor: 6125 timesteps........Done 410.24s\n",
    "\"\"\"\n",
    "timePerTrial = 393.19/25\n",
    "realTimeFactor = timePerTrial/2\n",
    "print(timePerTrial)\n",
    "print(realTimeFactor)\n",
    "# Pool\n",
    "\"\"\"\n",
    "INFO:DRV:      Executing...................Done 37.24s\n",
    "INFO:DRV:      Processing timeseries.......Done 0.08s\n",
    "INFO:DRV:  Executor: 6125 timesteps........Done 52.68s\n",
    "\"\"\"\n",
    "timePerTrial = 37.24/25\n",
    "realTimeFactor = timePerTrial/2\n",
    "print(timePerTrial)\n",
    "print(realTimeFactor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "exp.net.plot.landscape()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/home/seq/05-reward/v0.x/datalog/2020-07-14_17-03-57/plots/'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exp.net.plot.plotDir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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.pltColor3, figsize=(10,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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.pltColor3, figsize=(10,2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "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.outputSpikeTrain(fr=0, to=750, figsize=(10,2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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.outputRates(fr=0, to=750, ylim=(0,0.6), figsize=(10,2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#np.save('data/comparison/spikes_ex-anisotropic.npy', exp.net.condenseSpikeProbes(exp.net.exSpikeTrains))\n",
    "#np.save('data/comparison/spikes_out-anisotropic.npy', exp.net.condenseSpikeProbes(exp.net.outSpikeTrains))"
   ]
  }
 ],
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