assemblies_thesis_v1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "\n",
    "path = '/home/seq/pelenet'\n",
    "sys.path.append(path)\n",
    "os.chdir(path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Allow reload of objects\n",
    "%load_ext autoreload\n",
    "%autoreload\n",
    "\n",
    "from pelenet.utils import Utils\n",
    "from pelenet.experiments.assemblies import AssemblyExperiment\n",
    "from pelenet.experiments.assembliesoutput import AssemblyOutputExperiment\n",
    "\n",
    "# Official modules\n",
    "import numpy as np\n",
    "from scipy import sparse\n",
    "import nxsdk.api.n2a as nx\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "from time import time\n",
    "from copy import deepcopy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Overwrite default parameters (pelenet/parameters/ and pelenet/experiments/random.py)\n",
    "parameters = {\n",
    "    # Experiment\n",
    "    'seed': 2,  # Random seed\n",
    "    'trials': 20, #20,  # Number of trials\n",
    "    'stepsPerTrial': 50, #40, #50,  # Number of simulation steps for every trial\n",
    "    'isReset': True,  # Activate reset after every trial\n",
    "    # Network\n",
    "    'reservoirExSize': 400,  # Number of excitatory neurons\n",
    "    'reservoirConnPerNeuron': 40, #40, #35 # Number of connections per neuron\n",
    "    # Noise\n",
    "    'isNoise': True,\n",
    "    'onlyExcitatory': True,  # Noisy input is only excitatory\n",
    "    'noiseMaxWeight': 120, #120,\n",
    "    # Neurons\n",
    "    'refractoryDelay': 2, # Refactory period\n",
    "    'voltageTau': 100, #100 # Voltage time constant\n",
    "    'currentTau': 6, #5 # Current time constant\n",
    "    'thresholdMant': 1200,  # Spiking threshold for membrane potential\n",
    "    # Plasticity\n",
    "    'isLearningRule': True,\n",
    "    'learningEpoch': 4,\n",
    "    'learningRule': '2^-4*x1*y1*x0*y0 - 2^-3*y0*w*w',\n",
    "    # Input\n",
    "    'inputIsAlternating': True,\n",
    "    'inputAlternatingNum': 1,\n",
    "    'inputOffset': 10,\n",
    "    'inputGenSpikeProb': 0.8,  # Probability of spikes for the spike generators\n",
    "    'inputNumTargetNeurons': 40,  # Number of neurons targeted by the spike generators\n",
    "    'inputSteps': 40, #20, #30,  # Number of steps the input is active\n",
    "    # Probes\n",
    "    'isExSpikeProbe': True,  # Probe excitatory spikes\n",
    "    'isInSpikeProbe': True,  # Probe inhibitory spikes\n",
    "    'isWeightProbe': True  # Probe weight matrix at the end of the simulation\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initilizes the experiment and utils\n",
    "exp = AssemblyExperiment(name='assemblies', parameters=parameters)\n",
    "utils = Utils.instance()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.987"
      ]
     },
     "execution_count": 5,
     "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": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#exp.net.plot.initialExWeightDistribution()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#exp.net.noiseWeights.toarray()[:20,:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "pars = exp.net.p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:  Connecting to 127.0.0.1:38815\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Host server up..............Done 0.50s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Encoding axons/synapses.....Done 0.38s\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/python3.6/site-packages ~/pelenet\n",
      "Compiling in directory : /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317\n",
      "Include dir is : /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/graph/nxinputgen/../../snips/ -I/home/seq/pelenet/pelenet/snips/\n",
      "Compiling -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/initnetwork_0_0.c\n",
      "gcc -Wall -I/home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/graph/nxinputgen/../../snips/ -I/home/seq/pelenet/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/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/initnetwork_0_0.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/initnetwork_0_0.c\n",
      "Compiling without -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/0_spiking_packed.c\n",
      "gcc -Wall -I/home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/graph/nxinputgen/../../snips/ -I/home/seq/pelenet/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/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/0_spiking_packed.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/0_spiking_packed.c\n",
      "Compiling without -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/1_reset_init.c\n",
      "gcc -Wall -I/home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/graph/nxinputgen/../../snips/ -I/home/seq/pelenet/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/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/1_reset_init.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/1_reset_init.c\n",
      "Compiling without -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/2_reset.c\n",
      "gcc -Wall -I/home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/graph/nxinputgen/../../snips/ -I/home/seq/pelenet/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/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/2_reset.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/2_reset.c\n",
      "/home/seq/pelenet/pelenet/snips//reset.c: In function ‘reset’:\n",
      "/home/seq/pelenet/pelenet/snips//reset.c:51:9: 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/pelenet/pelenet/snips//reset.c:79:13: 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/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/main_0_0.c\n",
      "gcc -Wall -I/home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/graph/nxinputgen/../../snips/ -I/home/seq/pelenet/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/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/main_0_0.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/main_0_0.c\n",
      "OBJFILES :  /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/initnetwork_0_0.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/0_spiking_packed.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/1_reset_init.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/2_reset.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/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/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/initnetwork_0_0.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/0_spiking_packed.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/1_reset_init.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/2_reset.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/main_0_0.c.o -o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/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;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Compiling Embedded snips....Done 0.18s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Booting up..................Done 0.93s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Encoding probes.............Done 0.02s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Transferring probes.........Done 0.08s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Configuring registers.......Done 0.49s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Transferring spikes.........Done 0.60s\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"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\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/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421439.7166317/launcher_chip0_lmt0.bin --chips=1 --remote-relay=0 --epoch=4 \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[34mHST\u001b[0m\u001b[0m:  chip=0 cpu=0 Transfered values 20, 70, 10 \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 1 to 10\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 10\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 71 to 80\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 80\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 141 to 150\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 150\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 211 to 220\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 220\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 281 to 290\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 290\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 351 to 360\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 360\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 421 to 430\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 430\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 491 to 500\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 500\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 561 to 570\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 570\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 631 to 640\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 640\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 701 to 710\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 710\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 771 to 780\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 780\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 841 to 850\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 850\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 911 to 920\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 920\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 981 to 990\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 990\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 1051 to 1060\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 1060\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 1121 to 1130\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 1130\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 1191 to 1200\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 1200\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 1261 to 1270\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 1270\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 1331 to 1340\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 1340\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Executing...................Done 34.13s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:      Processing timeseries.......Done 1.61s\n",
      "\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m:\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m:  Executor: 1400 timesteps........Done 36.95s\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"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/numpy/core/_asarray.py:83: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray\n",
      "  return array(a, dtype, copy=False, order=order)\n"
     ]
    }
   ],
   "source": [
    "# Run network\n",
    "exp.run()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot spike trains of the excitatory (red) and inhibitory (blue) neurons\n",
    "exp.net.plot.reservoirSpikeTrain(figsize=(12,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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.initialExWeightDistribution(figsize=(6,4), xlim=(0,100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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.trainedExWeightDistribution(figsize=(6,4), xlim=(0,100))\n",
    "\n",
    "wgt = exp.net.trainedWeightsExex[-1].toarray().flatten()\n",
    "nz = np.array(np.nonzero(wgt)[0])\n",
    "\n",
    "plt.hist(wgt[nz], bins=np.arange(np.max(wgt[nz])))\n",
    "plt.xlim((0,100))\n",
    "pl = plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Weight matrix before learning\n",
    "exp.net.plot.initialExWeightMatrix()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AXyJIYpBCEO+6DcAzpvdKUQYgUK/EiYcPZjMYPvFNW8rOtU0Z5s0HmyvD8IG4/eWToXLbzgwtgGA7y+Gz9WatezKMQyd58+/v3bQ8c003AV2kd9WCd/iBRcY62iDSIixEGooQ2+Siihje3x65Lja0b9CH9THRgtNZHqd9q5Y50dkkVACBxCxCxYRtY1UnELHWPZkFqqdufPKwMxbo3MP+Chl5DT9ARFMRuG1fg8AZ5D3pZAZKTKZp7HJcjdIIOndf+Oopw0LUZ7pikPXHRovu1Y0YevexWLbRYdoSFSZauOiH830G4apOiKPcOMcFEJ96xfUsyXXO2fosDp37wksq2FcemBv6/RvmPX9GqmXAGOtijL2VMVbNGLvWxNg5uGWBC2RpXHfNWMfWPUYpKS6EYYY+tLChZmuL8wTef69ajcXpJLbFiXaPzgaglt5daW+ihcjYZckSCKRRG2NXvcdx+IFF2vu8TXPWt+S0xSYFA3pa8+uqBcNnXLjUwYexf/MVfXRi13MVF8a+d9PynD7T7byiIDCFHB8PVSK6hYiW25+MBwW3r2Dp3AouTFqlS3c9OBXhK3GZGEEGaYbmC1FHySJkZed65Cyd56OzcxiQiuHqJqmKTnPWt9j11CsPAFAzEVfau9JCpYt1OReR3xPbNOPtL2bucwZz+IFF2LtpeaZN7RsaUflatr20y3d1tDYxyrDjwoXRi6CG+hyd+W3nvSHUtzlMZzac5t2rG5XC0HgeFscJIkoR0TshRAAlolvTidLF30ki+v80ZbyYjtHFn31M9VzWO4UUFXIyTWOL0YBJVOP2wqOzM4xDhVk7JuHg8vikXw4fCxnVu4PVRU4D9STrdqeFBdRQj67FkwtugnDmYZPm4qQFh2s/mixZXGBTG/mYHQLZtBgvtWK+QQ31GJpS7kWHONQyF1xSyb70swWh33/7/GetdSCirQgii14E4E8YYzkrFxGVAdiOQHW9T3G/HcDNqnd1KDjJvRRmXWLWQZGBsQNwYuyiZOKqInBi7BpVROW2nc4MthTlxjqJB6AcuoNL8bDKBS5WMXGAte5xPFD10zEv3a0Ouy5u7V0XaM7YVSoU2y6ue3WjlWGltrd60VukBWvdE9shv9OONCRUKhVxbLPWPV6MPS4wAKMoCv1z+gZjqxljVyHIWaDDFxCYiecw9rAoKOa+8NI+nEJPRiWjGhAmCcqmyhHv84ElMhZf9YyKkWa28ysPoGNdE2a8/UWvyScuNqfQk1UneVstbl35vbjsjsMcPur0xxxtW5ZmMTETMxFpdue+Z3BKEW23c21Tzjd5mbuWBClaZZWRywKnWyBFVQn/rqzOkZm064LqQ+9T6MlijFF2FSLktvCxqFLntG9o9FoMVHTIxwF0GIwwCv2LA0R0OYC3A/h3y6OfIqKjRPQYEVmjnRUUc297phKjGM387atC8LF3tw0sF0lKxUhT21vRtmUplu4ewVB1oPKSJ5/JzFNcbERaAGZJU3cvrG2zkyQpnSvYDtQWrtmVxcRkPTYHNdRn0ezu+Zfm0AIIGKL8TZlBhZEGtQuk0N55t+5G25alOYuL2L6+Vcu0dIxyiD+K0azxmy+DAD4WVWNrzvoWo605Z/xy3Ux1NZ3diHS2CRE+iCHk73Qiekr4rQlRjbsAfI0xZksWfwhBKswnAWy1FVpwOveLcAUm09QJq0MUfXrcOMG6lLQYb0/EuOAbroDrk+/c9wzunHeudVxw3bjNVLOQ+tgHvN9PsC70f+j/yZH2Vbr717NO3nbWEYfOff4lVezzP70w9Ps3Lfitcx1UenMimgngVQCzGWNaqY+ILgGwjzHWR0R1AA6k3+nQvVNQkjsQBJByga/Jo+0dLlEU0qTX0UJk7PlwqtLBRZqftWOS8vpNzx/y9irkTOnNFaNO44IzgtEqfZrTjnVN49bHMr3CmPKJ/cv7vQwVqN3cnCPpqnYpnIaqb+dj7LjMS9fdZFzqJhtGWVHoXwz4EwBtJsYOAIyxZ4W8wEfS/zeqZgqOufdDHe7z4YO7MwPHJ1aMCNM7w9X538G4Tiau4xRpoduK2iZAFNtgeQvtohfWHWLzYG6qbblt0bh+1hLtuFDBtIiY6BVFvaHSP8v0Mu225G/z8lT15bTwUTmpvp1TdkjzXWBszKrmmNi/nWubnHYSqr7wNeV0wXjauWtwLQC98wAAIionoinCJR7p7CXTewXF3Bde2oeRnCjBAa6ftcQaHCwK+DZexQx10qjJpV4EH9yukgiXLEVa6PTZqgVDnBhR1DdcrxvGckb3juqsw7RocClPNy7ihKpuLrFmgOixTuRvm8rLGy0s1mcmuO6GeF/bFlKZHu0bGrO+Edc5A0P4w9SYDlTnANCqVtJ4E4DvE9E5RFQN4PMA/pMxdsT0UkEx97ZnKlGMYutzcTkvqSAzw861TRlpVB5QJ3sCVYFNogjr9n7sPZdn/q0yewTUC0bcVghh6s/f8ZG2VG3kUp48LuS+MC1AUQJmcek4H96RInwW0I47Lwn9nSjmjmHNY1XjR+XRa8JwNctaaAvF0sYFRPR1IupBIHFvJyKRKdcCOKx45y4i+joAMMYeBvALADsB7AdwDMDf2L5bUMwdAMrTCRA4lu4e8ZLKo0rwMsSBKQ6ovZuWZ6RpndQS1Vb83O8GJq86j73XA3z026kevSQkjwt5cpsWIJ0tuK5/uAqM39+7aXneDrDbNzRieEVDpv6mRYTXZ+HdYzkqfBcd3Y5AtwCaIqaKdQqDTB8a1EG8L+TxH+d5wTjYuX8wHYKliDFWyRibLtyrZ4xtVrzzOcbYB4W/v8oYO58xVssYu40xZtVTFhxz5xliOHYtKcb1s5Y427CbJPg79xkDUgIwS5rigDKpcTiiBqritNAxFrE+rhJy3M5JstpCVlX5MB+TNCaPCxepT7YFdz1D4Is2vx/nwirvTuasb8lKGGICr88ATmXaEtei42tRw8eRSENbn3SvblSPB406qH1DI4r2jR2ki2cMcR22MoYkKuR4wCdZh8+hatgDWFVUuriyD+nM9UTTNVWCirYtS1G1r8R7cHPzP9fIfXEijqiDx1gnTt3xDtRtbM4JKxEmPEA+Ek2oYDNbtZltqu6f7olLZOjmXBymkHMunsQ+9ZPwKt3bFj1xZkaFDIMixyqJzNomkYfVx3PGLuopTQGmfGCTBvduWq6kxcI1u7wYmRgfXlQl5QM6fa7IRMPuHIpQlGm3bJEztc18wKhSOegYu24H5GupwceFTbIWx4FIG1UETg7XOaJC2INIXftNOzPdOZEMrnrRqYYWrtmVM27iO1A9fSX3gqtdBaqN91Wdevf8S53L1zEX05ZYJTXwAakzR3O1pBH1jYcfWJSR2hfcvgMVqM5MEBXjdDkcE7fbugVFNwlVtOaWQ6p7Ip10dNblFrXBNC56ZpoP4X1UDnx343pdB3lcuDAj3fkOB6eVbY6YFiKxXB+9te7shC9eqm+aBBiRHlzgMPWTPG5eTweqE4WCYu4LL+3LZJ7XIWqn1m5uVurvfbf1NgnYecsv6BvFd5buHsEg+jMThDNOkcH4qIdME143CVW05lJzzj3pUKx2c66OWwSPC163sVm7EIiSnGlcDKktVXPAF0Pd9/giJ/atSLcwux4u2apo6SwApFG3sRndqxsxuGVy5pqqLaZDbNGsN047d/mb++9dYtxR2+bxeORY4JhgO/e8oaBq1/ZMJYYwaHzGpdNth6/Xz1qineC2A8DxGnS7lhQraeHCYFR1rNy2M4eZhFUpKSEdinWvNmcmEuOCuxw8D2FQ22cuC3PHuqbMYqizTFEtcmG8WcVyqzsGtRJyGJ1/zdYWDK0Zo7WOdrpdnTFSagQ7dxnzbt3ttaOWobJzzwcYCKMs/K+QUVAHqpUXzGSL9y7CVJox7t/2jamtg2ssD5fvdbHDGVrElZrMp6w4ETUNnUgLX0Rpbz7j0ISNEXTomhk45/Ec02gndK5tQulJ9rqMTSQjjgPV8y6ezD72o6tCv//Rix5NDlRdkNo7gCo47rENcDF5zPm2B2PXSfeia7XtMMnleyItXJmTKpiUDLEsX9VAGOzdtNzbaUWGalzY1CscvL38+z6HoyrGztVFuva4li8z2I51TU7vTvvfVzP28YCfuWnt5mYnxp4PV38OOTvYRIJhwmPL5A0FV7tBDEQu47ad74mhJmOQt9Xi5BAngchYbdYwLodZg4uDgR+Hh6UOLlYjtgz3pmvAGC2iSO6qcaHboci05/Xn39dJ4q5Mki8WuvaElfTrNjY7vTuIgSz7eFcpnLfPxWJJVw9x4eSLmzw+h1c0GGmZJahIqqBYVYVnOE5L5h63uR8/yBIhmhiGLdOGweeeA5A9GaihPmcCuDD/1Lw5XvUT26VaIFQMJcpW3yYp6saFCzNw3ZXFqarQOuxA3V8ukjJ/htNCNRZUkM0yXbxhdag4NMYy5qxvQd+qZVnjs31DkHnKRksVDaihfgKyMRFGIvwKGXlj7kQ0nYgeTCd1fYgovCLdJuWK0oS8JdcNYB2z44NOHnzyYJ2oGNm951XnTAAnHf/+9pxrxVOnWplKlF0Dh01S7F7dGHqR9GUG+Y4Rw1GztQU1W1uc1Rum9vMy5Gd4ajrbN3Q08l3MxCQqujq57M50ZyBF+w/mPCciH1J9opYxwJCV+xsAngUwA8BjAL7nUl4VJudcs5lsidtweUuuG8AqZgeMMUp58MXB5HTQDVoVLeI83Bvp6kLltp3GnYDLwmFjmLYDXrGPiqeqE3KoaOGCMGn2TOD1sy1Ypp2dq2CgY6AyLeT71FDv5SwmLg6peXO0/Wmqt4/KR1fOSFcXAH3S9HxJ9YnkrkcZgOsZYzXp37VEVAvgOgCfZowNMsY2AlhMRPNshQ1h0O6cE8ZkS1gQ5IMwk+SjG2i+UH2Dl60btDazUFVZum+ZIH6/e3Wjd1tVDDOshMwnuIi2LUu9aAGM7fZ0tNUxIZt0yOtnW7Di2NnJTJvT1EQLfqjvE9dI/M7w/nbUbG3JEWbkv+W6ySofE6ih3jhGRdqNV6L20xH52ldcCeBFxpioKH0agHVfNYj+WGK35CwQwoIgbx2z9MuSusY0SW3qInEAh5HgZMcd0+5BLKv0uD4Vo6oMzjR0pnkyw5Pbrdo+q1QSvgyfl7twza4sWrhY3ZjONKihXsuE4pYO49zx8b4ZRL+zBzAQbqGVx6b4d9SIjKx1j/MOtPq1/MbxZ4wStYwFclbu6QBkEawLlrRQNvjEog67QOjUNSrYDkXFARxlkvvuHkQGJX9XVQZnGjqVhczw5Hbrts+V23ZmMXhflYjOrFRcnFWMy8b8WeueUKZ+qm/ZJP04z2b6Vi3L1Lt2c7OyDSoTXJnuqmd8xmfYiIziN1y/x+dQPtNJnq6xZSI7MaWTvv43gLUANiCQ2r8L4BbG2A3Cc98B8HxaRSO+vwbAGgAoRVnD5bgGhKKMpFaFSRjGcCbkayWqMYpR9CNIJ1iRjvN9Kp16rByVKEIR+tADIMg3mUIKvQg880pRjhKUohcn0n+XoRRl6MVJMDCUoBSlKMcp9GAUo0ihBGWoQD96MYIRFKMY5ajCAE5hGEMoQhEqUI2jNy5E+S+eAoFQhUkYxEDGqqEKkzGEQe82nUAXSlBqbFP3Oy5G7U/3att08rrFmPrIH0K1aRD9GMKgV5s6bpmP8qMMtY+8nNWmox+7BrO/+Fuvfiq97BL0PM0XaYZqTIncT3Kbjq9ciOJHnwrG0PtWYso9vwk99nBdIyofeRYnr6hD8W9fzNvYO4luFKX/E9tUtGgeKl88ouyng7cswPT7fo8qTELHbZeg5pvNEzKfhq+9HFMe26fsJzapHOxkr/PY24FHIjsQzaqvYWu+/6bQ73/mkgcK1okpDuauysr9lwDezxhbKTx3H4DdMnMXMZmmsYtxFaoocFihhnq89I7J2hP4OMK22rwXU/PmYO/7ZubUQVRhqMpw8RQVy5r63Amw1j1ZZfWykxlaRG1HmHrlC2G8gVW0kNVIXLJ2McOTaR0nwno7u3qs5mNc+IKXK7dV9kR2HW9yOS71jsNDdVb9VPbX97859PufvfSnBcvcI+8rNFm5ZwM4R3q0FkF6KCPa19eNld0B30AcAAAgAElEQVS6x2haFUc8btsAGt7frqyDOAl5GbasNSr0rVqGmq0tOVY63asbcxJUmBDWg5VDPuTKpzOJC+OTt+0qWsiMcOpzJ5yYI2vd431wbMpUJN8Lq7d3qbs8LlT9JF6TfSR00N3TmQzraOeTISvrOxLNhqaUJw5NERGJuRuyct8DYD4RTU4/VwxgCYAnbWXO3LA3SpWy4Jsv0lUPGCcTtIVSHS/Ih1xxHiy6WDzI+mzVgilCdd2HWbvQ18UklLXuybvPg+ncQtVPqe2tOfSRnY1k6O7ZzqBcxolpjuh06antrTlWXPlAYOd+egYOiyq567JydwL4JYC7iSgF4JMA2gBYg75UamJVmyI93vT8IeW/X7rxm9p3VIdRLna8QK73Ji8rzknetmWplhYiVIxTd6Boi3djO4j0WcjESVu7uVkbw8aW1ILTVKaFSOuwCyx/T7f42PozzvgrprJkAcBlXMh152X4CDziAuFLY5GmpgVAdTjLaSGWoTLPjAtJyF8FLFm5PwBgHoBuBDbvNzEHBf8oRpXXr3/+Ru07P7joHOW/TRmYfJ2BTJKeyfQwLBau2aWlhQhdZnkVbPFubN6FPtK8PGm5Cs2mwhCZnPjsKEa1DDDsLoO/F/YMYrB6bPrYGL2OOfLrldt2ah24ZLiMCx1crchkSd+FxuKCLpowmpiyLh599+rGnH7hOv44pfjTOeRvHDp3ZVZuxlgXY+yt6azf1zLGXnUpb+/Hz1PfsDguLd3tbw+rG3R8oppigHSsa8oMsrhUGDKD6Edf1kDWhUYIW74LOtc2OX0vLilWXHRF5tKPPlRu25lTlyhOLlFVauKCX/VKj/FZ3RgRr6scuFTgli35hI/ww/u+bmNzZmeg60d5nPTNVMt7JrPcuFWWoygK/StkFFTtqhYzzP7CCznXXdKb7VpiTrWmAh908oDjA1Pe2g6vaMjcq9uoDp0ahcnJE6rnunpMfe5Eplxun80lmCjluy4QtZublZZAprJNiKq6kt8XpTtfiU7FcF1yhXLai5Kqrl2+i4/q++J3VPfHK16OCHH8iX2v2hmI9eO7HU6XsJFCJ6LNrzcUFHPvfY4ydrYifKM8ivpdnY5RZG6ujMlFQq/ctjPnkCgsw5/xSPuYzjldRx4LRq6LrzRvY7Km8mo3N+c11o4KqnEhwybRuTAEVZwWsWyR9jYvWMBf5aMai3Ubx+hdenw4hxZxSrI6tZiIjnVN2rmgmm9i/fi/z955PEo1Y2szY8AIo9C/QkZBMXcAeOXfFkcuQzSR1OkYfSRIn8TIQO6k99XvZ9QvlyxU3ldNLFV7XOOwy+hY15RjQufi6eoDFROIywtRdXDcsa4pFEOQ45xwSxQXL1gdwiyMf1w2JSckrty/ut2cafeQiW+UNnnUqVNEmBa1hWt2ZdVDJ9j8cdmUnGdc1I75iDWT6NzHCTM+Ei5sgGv2Jc7cfCYY3zmElVZlhmqyWhGdN/qe/Z1TeTq4xmGXwScvn0jc3I8a6rPqbqqHjVHzRVec/CqmwWme8QI1gNdXdXDs4zKvqzuXwk3+F7agWPx9F4hChage47SQ+1cnTfN668xHu1c3Zpk8hlH5ie/wenSubdIKNqUnx3TtohpU9j+QmXnt5uZYQxEEB6qnZ2yZgsqhOnnR2eyCtgsxjWqNz+2/d0nsCTlETESOURWOsU4rLc4U5JMW+cyTmg9EpUXn2iacvfN46DEe1stZF8I4LOLwUK1dfBb78+/dYH9Qg6823Hv6eqjGirYhlKMy75+xWYCEGfT50EGPBy18Efe22Cbp8ns2WgyvaMiSHn3q6XPQHPb8JE66RR0XqkNyF3DVjerMxUXar9y2MxJjz5+dexLPfVxQ5FClKFI7lzrkwe2TEk2FKJK+buKLtIiSXFqFsNYGLgm4XcFjj5smPL/HacH7Q96ayx6NQ4rQK66JJExqs7DMSSXpigmxOR1dFijVHAnTny55DLLqllbdtG/IDd0QxhyYt89VzZKP3XTioTqO4NHngHArte3ws3Zzs5JR2jwkfeEjqem2uCItfEzGTHb6HHJ7dczBlgi75Hh/zn1X+GztOS14f9h06Py+WFfX7+mcvVykds4IXcaumBCbM0eRSbqMC44wh8WmhcrVgSnK4s7bFzaEcDwYP507Ed1CRGY3cf2784no8XTWu/uJqML2TsExdxFhGKuLVD9nfa4rs8470DexNIc4MX2SH3PYQgWYoLPTN0FkDuKElZNuyFYnPt8Qy417J6JDaU/gzRnmIF0GpysvQ+wjnTWRi/oirHXIeJujcoiChsz48xl3PV8YBYX+uYCIUkT0TgBbpOu6FKXy+wTgfgDfRxCA8QiAL9u+W3DMvQyKBUnKmRoHZKYkewdyhjYy1W5fbYPIFHTp8GT7+Ml/KFLTAtGkJRemKk9YH1WE2AZRapZto1U7Ec7IZP15x7omLS1k8G92rGvKOJ1RQ31mQYpja8/LWHD7jkx7+TVb8nJXM1YgaINKeue0UL3XvqHRKExwGtucpWzQfUOWwl+PzD4PuAfAHYrrOSlKNe9fCaAmHQ1gAMA6ADfbpPeCYu7T6oeQQir3Rjr0QJgQAyrogliJcJF+faNOcpNCzmBlpilOjNrNzUpauHzTJO1xpuqjYhCfV22hxefE+6KEL7+3d9NypZkbkKs/r9uopoUK/Jt1G5szZeTT8kk2G9XBJyWjXLYMEy3mrG8xLsbclFB8xtePA9Av+IcfWGQ1bwUUYQhiDMLmg/FwYmKMrWaMXQXgaMhqLkWQppSX1wvgVQAXm14qKOZ+bE9JJsOLCmFCDKgQRxx4wC0Ik2rrLEqtpknPaSEyz4VrdlkPr+S8k6o6uEjj4ndUcV1Uz5nQt2pZpoyKQ0U5UqnJO1I1LqIyBBe1hk+YBhNkJsfrLpoH6r4lxxcyzREXyHXhqsyqg2qzaLlepsPbGW9/UTu2VF7hOkFnPJn9BNu5yylKVQiVtrSgmHsY7L93iVJto5RG8qDeUUEc/Dap0eUwydcSgUfVG17RAGqoz/IGlOvnA96WsGZ9ldt2Gg9EXbwjOdo3NEa2lzapQ1zrIUKmq2lh4PlldW2Ww92GqY8LxDq6GhUcuSKcb4yq7jpDATHipgpxqXtiiAo5nYieEn5rPKtwCMBMBLkutmqeIQCy2mIEQLmp4IJj7qXm+uag7OlK7P/j9JzrXBrJ0jFbIku6QpYq5EkcV9wLFS1cTTZrtrYgtb0VrHVPRqrkB4A1W1tCHWia4qWIzIg/FyZJgw6cFrzssAGnXBDWekPud5mZyX0kMna5X007AZc54rqAu4atEGELHR0lqBefWyItfVRWYRDxQPUIY+xK4bfF9j0BfwrgI4yxQQD/BmBFOlWpjAEAJdK1MlvhBcfcS1Dq9XzdxuZsC5m0dM4l9+Fqs5Rhkq50W0NZYtRJU1Ej14m04MzTRbrSSdZ8UnavbgzFHE1So8iM+HODU1JaRuE7OUtQ6uU57HI24RIBMmwZKpjqbhMI+GI8vKLBOkdcc7FyqHwGdPPCZsW1/94lqNnaklWmj1WPajf2evIe9oEmRalK1XIYIdKWFhxz51nUvcFVLmnpfLgnWOhsUoZpwkUdVC4TzDRZRFr42ITbnpXrlQ/ddffqQG0iqpSibKV7cULbV/L32zc0Op2HuKY47Fu1LPYQs6oFWO4HcXfFF+PU9tbMuJDbLUewNEV1BMYkdNVCq6O1aT5RQz3m3bobfauWZZUZRpVkG5NxefxOlBOTIUXpS4rHWwFckTaJBBGdlX7+KdM3Co65h4akctFNblXyCxHjYTssDlzb4sPB9ec2uKTKk5mszyLGy7d5N1Z3DGa+x+ErrYf1DjbtSsLGwdct1Dbayd/j9FMtwLws11jnclx/mQ62qI5hEpXb6gNEE4p08Wd81Fa+mKADVV2K0iPyg4yx3QA6AHyCiEoAfBbAjxljxuwuBcfcSyVVUtuWpcqIj6YokDqTyaW7R7LicqsG/3gEDHMd/CItuP7cBpdUeVH0lbx80+Ena92T43Hpa24nRweUx0VYpLa3ZjFE2RZfhph5S4S4iIoLXefapiyrIJmB2vpneEWDlXHJ4yLszstloRvPPLKAeTeVF8ErgtTuKrkT0deJqAeBtL2diI5YUpTyd+4SivkzAO9IP3c2gL+1fregokLSNHbu1vdi1nviOfictWMSDi7PNRuLI6qkbOkQNlKeCYOsH33vuTbSAa1NT92xrknL7G1tihpd0AeDrB+l5HfYng+o6MkTeKiSqPigb9UylB4ftpYRhha6BC+951WPm047jjkinifEERVy2oW1bOW33xX6/R9d/fUkKqQrKlarY5gD/tKfirEDY/p4H5gsHYB4t4kcvThpZew26SusKSY11FvbJAZgE+sRNTepCqJtd/uGxth0rmEyWMntU8WF0ZVtknT5GYWtbSr/Bxt0nrFxM3bTQbbJr8EV4s47DjDkP/zARKHgmDuDfidxx+UPWQ+2Zu3IDgeoWhBcM8Bn1ctROtUNWDGhtvM3DbTgCCMpiioF3WRUtdc0GUX1i1inKFl1xHdFWsxZ35LDKFwOa0WLk0y5huTNunqmtrc6xf7hOW9FuDBT26LKaeHS93EutC4LqmluyeNfRYsoiWjCIokKOU4wmXn94KJzMiu3LoSALK3HmdTDJQ2YOGDlw0QexMoVLmahYezVRb0vn4wuk4o7lpgYqUxv1ronwxRk5jDthQHj90TGy2nhalqpTOL9WjAZdYxBx2xUzHbB7TuyxoGOfnKZtkXBJs1SQ72XuXCcTFDMnhRm0ZB3oaoy4swH64Ik5G8acshKIppORA+mI5s9REQzhHsVRPQ9IuoiohYiWuDyDZODhiiV8xACUaIn+oJvyV2l+DABuMQolP3vfkPm3/JEiNuZx2VSiXFbOFwWBc4cZSYp08e0UPFx4cqsVAzZJBHr2mGiizgO+HNy9ElZELBZR9nGCGvdkzVHwhwy+pik6jxYXfrBNjdtZYxX0LEzmrnrQlYC+AaAZwHMAPAYgO8J9z6bLn8mAu+rnxGRNTjMKUWsagD45itPZKRyUWpfcPsO3PT8Idz0/CFrO2btmBRMPk0YAhdG5TKoo+iDxVyWJT/8tfK7PMmFy/fDbstdJ1ackpZpodKNi7jgIlX6lMP7J+xhs0x/cWy+8pdzM/8OU76PtZTqjMEVFYeyE6zooFMNTmyc99c/XCX3nJCVRFQL4DoAn2aMDTLGNgJYTETz0kz8AwA+wRjrZ4zdhyDQzZtsHxqFWnVx23ljUuyMt7+YNWB+cNE5+MFFsgNXLg4uP4nOa4YzNvHyoFIxKpuno2rg+hyutm1Zql0MdLRwOejkUC1GpqiYPK79eE0sXRx9GTpa2BA2Hr/rDkE3Ph4+GE0dKNNfHJtnfe9p+XEr+lYty6KFqt7yeRWHiRYm+vI2iJFQVd8OcwYWF2KILVOwcGLumpCVVwJ4MR1fmONpAA0AFgEYYox1CPd2p+8ZkcoJoaCpkyCxqAaqbosvDiSXQWV7xiY52Q5SF67ZpWXWJlpEsfk1RcUc6epSpnyLCt1OQI6jzyG3L4WSrGuuOwtxJ2SCq+WGXC/d+LjhT//CqTy5bKdQzNderr3XvqFROd4qt+3MooWq3nxn7DO2TPQV0wjO/emYt/Wib/TpXpkQJNYyuTCFoQwVohIQknVIqpNvvvKE9h3VQHXVReuSZ/hCx8DrNjaHVl2UoUJbp3zYlnOGqTPtiwLVTkBuG6dh36plOe0rQ0XWNdvOwiVmvwhR121aOFzp7mttxN9xOZeZ8tg+ANljjv97zvqWnPHme+iuq7uvulFMI8jVO6Jzmk8UzbyBnb46d7cMCGqYwlA6h6hMh8hcAwSedyfRhSFWhcEVvwUAVGESXvriArzr3IUAOlGJaoxiFP0IVv8KBJmSTqEXQJAZvghFmTyTZahACqmMbXApylGC0kx8jtKnjqMUZejFSbCf/BwjKEUpynEKPRjFKFIoQRkq0I9ejGAExShGOaowgFMYxhCKUIQKVKPvWAdGWScIhCpMwiAGMIiBdBsmYwiDGER/pk3DGMYATgFATptw/dWoeHg3juA1VP3k54ChTbRwLkraXstuE8pQdM1VGHj8CTAwlEhtGr72ckx5bF+mTakLL0DZC3/EpM//EseENg2iH0MYRNGieah88UhWm6ovW4rBp591bhPvp+5rzkfZ48+hHJU4Vn0C/awz06aK727HMZwEfvJzjEr9NIBTOIudHfQTGEZWXIHJ2/dq+6n0T49iQNFPvE2mfup9eS+OsU7nNpnG3tBbl2L0V/8b9MtP/gsvf/hqTPrKo5l+yow9RT+lUILUG5Zh6ImWrLF3FIdQzipR9N2fYyDdptHv/gxdmjZN/9TDOKbpp9KrG1H0m6fRjz50v+NizOisRqr5WfQvrAVreynTpv6f/BwpAL22+SS06fAt9Zh5X9tYmx79FVIowXDNOejtPojR7/4Mx8X59NRjYA2LUd16wKmf4gC3ljkd4eWhSkTtAG5mjO0gopsB3MYYWyncvw+B+uV/EMRJmC/cuxtBqiit2+xkmsaq169C/WfHAiO5qD1c9cN7Ny13juWSD8herbb2HWOdmEa1XtEQo8IWUTCql2HYtnBaAH59roLorZkP2kbxVDW9y++JtIgbPmPUpR/k8mREGU9xeKhOXnQ2W/aNW0O//9/Xfvm09FA1haE8jCD+geqeEbM3jAVFi3vS5ZOxu+indaGCddvRYhRnPaeDbruvq5MpHr1NhSRORK6+8HHO8u1TXjdOCyD6Ya/IPF2tjjiGVzRYD2mjqLOMh5fpeyItgHjju5QeH3Z+1qUfbGqmrMN/ga5hQnGHxemqlonC3H8HYD4RTQaAtIXMEgQZRV4CMEhEFwnPX5m+Z0Q5/BJS+050EyPkzNDFWUmGKAn6QsdgOC1sZeomkKuzjg/DFfXRdRubs5JPh4FpYRClRt9xEQdUEmVqe6vxENHnEDoskyp5g9nTM8pBuC3Bdz4xvL89E/1U912e9DwunPHWMiowxo4B+CWAu4koBeCTANoAPMMYG0VgPnk3EZUR0V8AmAzgEVu5XBcYBqbYM/yeiRHKCZXDDOw4JwOnRdzJQGyLhYk5lEjheqK219VJyDQuVIm8fSFGctShfUOjlXGmtrc690vPzHA5gYefyB7DqvAIYeDrNNSxrslKD5PBgqqvbNFP4zzk52CMQv8KGa5OTDkhK9O3PgBgHoBuBDbvN7ExJf5dAHoQZBj5GIC3M8asnHsYQ34tEKANNfDobNxx+UOhy3UFH+gusVtc0H3dQuP9sBKzjSGbJpBOPyq22TbhbQxYdd80LuRE3hy+GYBEuugSm5uyFHG49ouKli5St0wLV521je7yLpga6o1trdvYbGW2XYsnZ/4tC1by3xNiLXMaw9XO/YOMsWrGWBFjrJIxNj19vYsx9tb0vWsZY68K7wwwxv6SMTaJMXYFY+xZtwrFF+4mYw638oDRySmuQcUHuip2SxhMfuR57y12Pl22TXQS22yb8LZtteq+z7iIQzViOg9xzQilg6l+PXX6uDG8fBdaKGPreKozWOseZVt1Y0x13UcAGU8VkIjEzn2cUIHq2Mq6rPZgzjWfyRoHoqRnq0C19zaUS19cd+mjprDZQ/swtbgXGd24UDExWb1mgorhmbIbmRA25pAIHTMU7cM5LUyLiSjN69IgiuhbtUzbZy4JzwH7+VffqmV5CQcdBew0tnMvOObO7aY5OtY1eTukcKjiuftMVnFShJXuoxw29l01N+tvn/jgXHfpKq0Nr2gwOn7pIiDqAqnFHb5AHhccYczoZDqqEkS7QrW4+IwV18VfHEecFkNTcoPsqRboPy6bknOtZmtL1tip3LZT22e8f1PbW9G+oRFDlqTzOlRu24nBKf6uNflW15zROvfxhOycULexOeMuz5m8LgZGWKgSDYsn9h3rzIG6TGVFAXsyO4aIqg6V23bGIiUfu9Ccxk4VARGI54DLhWbyuIiyI5LpaEpYwtG3almGGYrWVFEXlzCLP6eFivbDEuM11TGM1cmc9S1W72/XkNg8JaEK4vX8qmsSa5lxAxn0WDxg2MHlJ5WWMWGZvpxNSNY1hpVCfSwJlPcddXq6+pkSh8hQMYC47Yl1cJm8Mi2iRqM0tY3Th7XuyfRR5badWa70gFoiFu/r+l8UGlwhPivSghrqs3YPqZ7gHr8m0na8VCJyoDAdajc3ZzF7sX66hafQ1DqFjILLoXo5ri6IXJkmRM2VqUP36kZMfe5EZkIOsn4Urbw6lm+l5s1R2mcXT52qDd5lQljPzrAeiaq8oTZvWhvENsielGLZ8nfG02NYhULJJ2uC2M/5olccHqrVC2eyi7/yV6Hf33nD509LD9W8gMePMEITj12ELd+q0tzO0V7aNY2crmxdPWq2tmRNgkEMWBm7azAnztjl50e6ujJSoU/iE9fJKrfbxNhNUplqXMgM1xdiG2RJUSxbXkBY6x6j1J1vHbHTHHGAy5mSqS3tGxoz9+X5IvbzRC6ENiSZmMYRkzfrHTu42mXpWS9nrumY+KRqs0m9atunspd2ieSngqtjiUnv6TKJfaXg2s3NOXXjap18hGcQ2y3b/MtRDU0LmY0WUcwTw+jvTaq6fDOzuJi7WE9dnU1tmbN+TBiJO9G2DrGb+rLAYibsr5BRcMz9yNog4t7S3XJQyTHrl11LijOHq8M9YzHPVWn4TLA5aQDhB62N6fqET5XrKEu4vqFYowT+ssEk/cs2/ybpWAffcwAXRqv7dr7OHFw8YTlUfXvkloudvuNaf84wXceRzTEvymG3DflIIpPYuY8TqhB4tO1aUmzcpnPmLTIMlemjCTonDRlxSAvihG7f0Iizdx5XPidmJuK0kCFLuPlk1iaomIdN+jepp0zMiNNivCREXQyTOBi+bczNWd+C7tWN6FjXpEwifv59rzh9R0crOc8rjxHkOo7EOSdbEAH6xdIrCYhmnAyvaIiUxvJMQsExd9HkTbdNt1nF+JhMmgYcH2BxSAvihBa3szLEw01OC9niQcVg4tDzukpcogWJL0zqKVN5ccXv1qFjXVMWDU31dBkzruA0l2lfs7UFdRubUXI8177flxaycCLneRX/7Vt/2YJIhGwxY1vURBNTmf68XqntrbEKMwyJnfu4QeXEJMMmoXOp3kWSlwecOMnyYRFjgtxWTgtxwqW2t2YmlOxJKTMI3+2xi2rElpw7X6oMeVzEvfWv29gcKcsSh++Y4TTX0V71LZVDl0ma9RFO4hjzvC6u2dA4TAH78jcXEzv3CYOv1Gyz+DDFMgei20/bYAonrGurbmDL12WvQ1VbfJiv6tmoUlNU5s/pNjjJfWLlw3rFV8KNsw491wVlda8es1YR+yXOBda13uJzE6UmDIvkQHWcUIVo3qc2nW+UWOYmuE4olXTCJ4YsjYahRZigXCLE3YOr2kV2Y3f5vk7S1JnWcVpwug15kCZsH5t2ByZJUjw34eChAuJgvGc/EujcZdNZDpXXcljnH5/djE+e1XypFhOMoeCY+zCGnezY81qH9EToXt3oPBlVnnauqgM+gWRJexjqrDgu5dosbER0rm3KTErbTkm1MxLb7hLiuGOd3pFJZVp3+IFFObTIh9WEjJqtLaGYosopjC8Gss5epXZU9S/XXw+vaMAwhrWH/Hs3LUf36sYMffj4lRcj3RhSXRevmfq3cttOZ6ld7F/eNtVCMh6Hp6erzr3gPFQvwCXovu86fWz2cYDOo86WDzJu5DNXJkfUnKgc7RsatTrWOL6ho4Vvn5i8WsP0b9R8rmEg08LmASrXUVfnzrVNKD3JvFWTqvJEL+6wnsS2XLdxeKhWLJjFFnzpttDv//7//SfnOhDRLQBeYoztSP/9FgBfAXAugF8B+ABjTG1GFwIFJ7kf/9x5487YZbWILh5HVMYex7YzbkkmLv2o6fBM/kaUNsg7KZ8+6Vu1zMhkbGWp4qXUbWye8HgnNtWJzHh1i1Ht5mYvfwO+e1CVJ+4Uwp5jiWWoImDGhXwfqBJRiojeCWCLcG06gC8AuAFAHYAUgK9q3j+fiE4RUbfw22D7bsEx95l35ebQVpk0xhkZUqcWAYIB5uOWL4JPejGIk8ycTIyuUohhrjo4s6ln4jxYc2FgNucbjjALCqeFKzNXMWLTu5xWpnaKC5hswWSKcBinZQ811GeNizBo32BWN3avtqcTFEMEuwQJs8Em+OTTcm0cDlTvAXCHdO2tAL7GGHs5La2vAXAzEami0RECLUuN8Ftv+2jBqWUuwTJUUnwJOwoBYdU5faxHSwufra5q2xxWVeKqhog7uBqnRZRgYap3u1c3orpjED11pajuGMwbE4ka5EyEaVxwcDVGnN+daBRPnYqjN16YaU9capm5X1gT+v3nV33GRy3TDuBmxtgOIqoEUMkYOyLcPwTgOsbYM9J7cwC8wBjz2r4UnOTej9zwA6pQBABw0/OHcu+HPIw1SZqueVB10o6NseskO04LFVwmLC9XxYxrN4dTJ7jql2UmGXb3w8FpYWu3SUpWvVuzNciLyv8fBi50jBrkTIRpXHCYdqP5RvfqRu/dCs8cZsJIV1de2hPxQHU6ET0l/JxWCsZYn8TYawBMA9CheaWIiH5GREeJ6JtEpM/HyF9wqchEYNeSYuW/RfC8qPx+25alwMoDob5nkmJ1eVDlAWxjDjoX++qOMY/DOM3B+ETQMZ+4GLBLnbmJalT9tO1bpT2jkcoPA5UXqQxReFDpyMP2u0xPWx+6hNLI8tSdNwfUUJ/zHZM1Vs3WFq9dJTCWOUyFfMaqYQjP2NPM/Qhj7Erht8X2TQ0+AmArY+yo5n4JgJ8CmA1gIYB1tgILjrlXoCrzb9OAz0q9l5bWoySjDgNfKULnYi8yWXGAi7TgAzwraUM6UYNN52lbdHjZPNGDL3xM2HWA79EAACAASURBVMJKx5wWtsPDym07xz32iFwnlRRqC3VsSsgtQxwXnJ6cuS64fUdOGSI9XHZeWQYF+9vBWvfk9Jvc5rD96lKffO8+WIRfHCCiawDciIDBq3AQwBWMsXsYY6cQHMy+x1auF3MnoluIyEm8I6LpRPQgER0nooeIaIbLe2dvGxu4OnNEQIr6KEnrs3ZMylLPzNoxKaPCyalnTJKyq9Q7vKLBWc0jgg/wuo3NGRqw1j2o3dzs7eYt1kUsm5ejku586WRzMrLF29fBpR4yI9U5iYmIc0EwSaG65znCOlyltrdm2imXkQ+P0TgO6/tWLYvlMDYS2MTauRPRZQD+BcCNjLFeZRUZG2SM/U64dATALFvZTsxdZcqTvv5imnlz85zHhNvfAPAsgBkAHgPwPZdvta/qNOrNdfrrO/eNnUEcXH4yi+EfXH4yo8KREdVDlQ9y11joqe2tzjuMU1D2tdXL0xU6aUslTfnSSXaiEdG3apmXuWvblqUZWujqoVM3iFKxySlpPFzmbQxR15/yovTqLXOVz7mmt4sDcfh7VG7biZIeCiXsnA4gotkA/gPBIWun4bmzpUvnAXjJVr6r5K4y5QGAMgDXC+Y516YrUwvgOgCfTq86GwEsJqJ5Tl8LoTe/e/6lTs/FIanr3O1VZYfxJnW9X/2a+qAZUDMSFfOIetDJodPJqpiA6pppoXJZDG1xecSogjI986nTFb8lt1v8rinkrqyWmH7f77Xf893FuSSozifqNjYb+3dc6jEBehkiqkYg8P41Y6zd8vhHiehuIqpIW858HMCXbd9wYu6MsdWMsasA6JT9Mq4E8CJjTAxG/TQA62laOSodP+EBYSdgk0BtB36da5u0Uouq7Cj6Qk6LMLuLym07nVLchY2/LsOmk+XQMXGb5GwaFy4Ltkr1wZmrTx/5CgeqaJ0cNVtblImsbfCZI2GT0fDr4xVKWvedwer8HwvmWy1DRF8noh4EEvd2IjoC4J0ArgbwGyLqEX5L0+/8ioj+Il3EPwGYBOBVAP8D4BuMsW/ZvhsH5T6VNs95jIi4Hmg6ADnARhec9ERuVVLqbHXqHGEnYBusPXWlxmdsTCiMNYhuYttoYdsaq6RU38kaRxkiRPr5qJVMtAirWtMxdRMzEhNqq6BSD5kWD5EefOyIZau+U4Qi5z7wpQ2vQxyJNThM7TfFlbG9Gxfy7cTEGPsgY6yaMVbEGKtkjE1njH2XMVaSvi7+dqXfeStj7D/T/z7FGPu79HvnM8a+5PJdLycm0Qhf+Pu/AawFsAHAlYyxlUT0XgC3MMZuEN79DoDn0yoascw1CLyzUIqyhkW4HFWYnIlZXYVJGMYwBhDkRK1ENUYxmrH1rUAV2tdfjvKKVzDlrldQjkoUoQh96MHxz52H2rsOI4UUehHEdi9FOUpQil6cAC2ci5K2gyhFGXpxEgwMJShFKcpxCj1gC89HcdsBlKEC/ejFCEZQjGKUowoDOIVhDKEIRahANQbRjyEMgkCowiQMYiCT67IKkzGEQZy64nwU//ZFVGESev5kMei/dmrbBACd6MAk1GS1CQDKUKFtU/c7LkbtT/+Q1abSxReh5LkOnEIPRjGKFEqy2nTiXZdj5o/34dW/ugDTvtOKIhRh6N1vRvkPn8hq0/GVC1H86FNZbXLpp4FrFqPm8SDvLded+7SJvzcDM5X9xNt08n1vRPU9v47cT2KbRi6eg/7fP6vtpxPvvAIlP3nc2KZj15yLssefy2lTKcpw6t1XI/XDx7RtUo29w+hAJSYp23TqfSsw+Z4njG3i/UQL56Ki7bBy7PF+qrj4MtDv9+HUwhlgbS9Z+6kUZdr5ZGqTSz+dvGY+yh5/LtOmHXgkshNT+fw6Nvvuvw39/r4/Xx+5DvlCVOZ+CYB9jLE+IqoDcACBHeY1AG5jjK0U3r0PwG6ZuYvggcPCBMtq27IUC9fswt5Ny50PN2XPUfFvV6/SuD0xRbgGDgvrbaoLOBWmTWEDaNmCXnGMRxA1n/pMJMaLFoWOODxUy+bXsdmfWxv6/f03f6pgmXsktQxj7FnGGHeX495WswAcBiCbp9QCyA0cI6EMFfYPK9Qv/FDGlbEDuWoNUc9oYuyiOkHFBMMeAvEtPTcRE2lhUo2EtfTQMTETYxfVDmKyCBNj1x3ailmdbM41nBbUUJ9VXlwHbly1oLJZ53DNpeuqmtOpQLhaSGf5UoaKcTvwPO3BADAK/ytghGbuRFQuBbk5L/3/lwD8DsB8IpqcfrYYwBIAT9rKTSEFINCpU0O9eoB7WNOYTMNUekUXyU2lJxUR1UyscttOzFnfkqEFMMZ0bDrKOKFKfiwycV2yCPF9aqjXLrgiHW1SP6cFa92TVZ4vrXVM0SXbVdjQC0CuHl/cHck0lP0OcspHalxDT3PoziJc9PPjaaHkiyQTUy7eBOD7RHRO2qzn8wD+kzF2hDF2DMAvAdxNRCkAnwTQBuAZfXEBuC5v3q27wVr3OJt2ffOVJzKRIsWIkbb3+aDj0viBt6iCsukxOCVlf8gRQ9XZo4XTQsSc9S1588CUD6nF5MfyIqZjkqLNcuW2nbEtQipa6CAv6CZzRA6TJCxGfPRhSqaUh67JM1TwoUVYcC9bkXaqw83u1Y2ZPjaNS90CJn+TY1y9jCfaRTVPcHViyjHlYYw9DOAXAHYC2I9A5fI3wmsfADAPQDcCm/ebWB5CUHJmctt5b8gkxJYTY+ucJFjrnsyg41Kkr9646pUer+dNcF3I4nK4kRn2cE+J9lmZGens++MKAaFTbZikRM4gZTqqUhrKMEnCtZubM/c5U9IxH87Qi6dONZaZ79y9LouFSX1Ucrw/a35wyCo2Xu++VcucxqVuEZXPeXRexgnc4WrnnmPKk77+1bRpTi1j7DbRfZYx1pU256lmjF3LGHvV5VulyI1qmRVHRoILMzE9I7qmx2nGGAdUtPCBb4xsX8YshkHg4Hpp8duuzlOiTluuG6cFa92DjnVNyjKV8fjnzcn6O67+0jEyvtjLqfZ4fcPYtcsoq784628Vw3RZLDiNVcKPrn6iSkzcIbmqiVTPuSxE+ZtnkQOHFSwKLnBYCXIjWWbFkbFBcdiqChncubYpyzW9dxZFsnoJ6/Zt8hAdfls071FdRqkwcD1b4Dsf8du1m5szDISHg1Xp4cW4OTJKUJq5V7exGbWb9c9m1Xt/e9bf4jv5kAZ1TIgvBqpFwbVveH1Te17JelfshzAxe8LutsLGNAKkg/mFajXVuOnlT1O1TMEl6whrCqlDHDkuTTkn8xmTJJ8mb2GSOLgcNss0sb3jWo9CMf9zNRON26RS/K6KFrp65dNUl8OlrX2rlqHqlR5vmvDxpJprsZhCzp3NZv7T34V+/+X33Hl6mkK+HiAzZR9pYHhFA4qnTjXmnBQhS4L5NFfzkcRVz+oYasc6fbo4l4kp08T2jilZtQmymiMqXMeFjlHKNA7L2HW7CRuD7qnL3fFSQ7021rzuO/lSTYqH6z7fkHc8iQmoOwqOuZeiLPNvcQDqsjHJMOnnAb+Dq9T21hzdqQiuatCFWtXpIdu2LEX7hkDHb1LLiLRQ1c0VPs/WbWzOqreK6flOMF0b5bI5o5ZVDUBAC5Ep8JDCtuTbLhl+gEAtJ0Juo6rNoiqO0ziMKkFslwujPHnzVTkMUjWuVQeitu/IgdbiRufaJpQc7/emE38+LyagiVom/5hM09j7tjfiuZVjgZG456kTHp2Nw71Vfjp6Ca5qAh+VjIu3q6q8QdaPUlIfqvqoVXie0Hxvz13gsoVXqRJMtDjTUIi00Kl/Otc2YdoLAzn3VHPCV4UUm1rmMx8O/f7L770jUcu44jcrerMORb0Oe1YewIwqdQx0V7gyTB9du4u0oSrPZM9sM8mTkS/G7qsW4YxdtNCQpWKxrlzqVtFCli7Dqmg61zY5e5/a6uCDsN98+S/mOD0XpwpDV1bmkFczvmo3Nyvv8Tmh2v0A+r7Mi/37aSq5FxxzZ2AZD9RQ238P79Wwg9+2pZTvF0+dGuo7zGH0uCwyvgenPhPIlj5OB9WireoPvhioaHHswly1laiCcWW8tZubQx+6R1HHhP3mWf9p9QUE4K7CkOmuaospzHUUhlvTpq6PblzlxYAhYe7jA9EUsnLbTq8sLQsuPWDWuUtmknzADq9oyGIENqavY5Zy2joOk97eBJVZqCt0duY6JiQ+E9cEEiUxk6ko7wcTM1LRQq5n7ebmzGKwd9NyJ+9hsd22xYCfHdgOqOPUV6vOC6KMCxVkutdsbfEyDpD7waf9It1MCV4S+KPgmLvsuOOtlhH17bLNu0aqT21vzWJEYQeXvP2MakcdxYlJtjPn0C1MJoZeCN6BvrRYcPuO0OowILvNfEHktvm22DE6C5UwUJ1PRBkXpkVWXOjkhN2lx4edv+GqApTVUhMSjTMJHDZ+OAU/d37dYG3bslTLzMcrz2QY0y8RvrSIC7J0rwsLbIPIIKM4vAC5tJAlSd8FSG5j36pl2kTV8oKo+pb4jC+TEtV2KrrKbbWNC1PfqPqBM3XZMUw8/BZpYzsrcA0wFtX/JC4kgcPGCaMYzfq7bctSoxmkjmmYJH5fRqPy+vPRM/KJwSeFWJ5poZFpISKf3ns+ruum7brI5Fw9J3Xt4rTgjEuWyrsWT7YuOCJTkttYuW2n8xmMKYVgmHMcUW1nOnzkMI0LXRkmiLsX8Vu6duqYMh/LYvpA1W4gKmIXzhKde/6x8NI+pJAdvGrhml3YtaQYAHDnPreDJPk5l/dM0si8W3fnXPPVS+/dtDwzKcTyTAuNTAsRInPyGexhLTREiBPWVYXF28ylN93ZiG5hOblpAQAz47IxNZuk6BrDH1DTsfQkGxd98Wsfu8L5Wd1ZUhxWJ/K4E8eyKdxCFHSsa4q8C8xBopbJP9qeqTQm67h7/qVWyWj/vUvwfw9fnaVv3zdod1vnE9910PtODjGWiqsUKyaoAPRSrW6wq9QHYZJqyM9Uv+bmUKYCl958fRHOub0TgN78MR+5NsWxJjOpuo3NOczNpQ4uNAbMC/aCL+61vs8Xn9T21sy/xYUnDqZrYrLdqxvzYrZYKKqc1wMKirkDQH86d6MYk51j/71LlJKRKAXOu3V3EPJX0Lf/4CI5KZQefNDbdLjTXhjI+tukJulc24Tu1Y2ZCavaCajAacEZool5qL7PWvd4qQlcsliJB5XjGXN770fnAsiVzuV+kGHqF1sf26TwMBJkxSF1cmu5n3Rld6xryowLE0QmGCdDdN0l1mxtyWvcpThBLPyvkFFwzH0EgVQox2QHspmiaCLpKgXqVAGqyWbTD8pmdjVbW7SMpHZzM2q2tngzA04LF+gYf+W2nV4HuqK6Qcf8OCMSJ6+O0Ue1tOHvz/zy08r7NlWMaUH01QHHoestOan+rio+voqmdRubvcaFanGPoprzGcOq75iEjQmxyoqib0+Yux+KUZz5t44pffOVJ7IOTGWd+k3PH8o6hL1z3zN4+OBu7SLAWvdkGDP/pk0Sr9y2U5u4QIRuG25iFLwOIi1U4GXz/+ucUXxjy3DomJ8q9oxOSlOV4cNc+PsqWrgeKstMI6z1kszYRHq7tslFmpUTyMgoRrHzrknefYhnP64I6+zXO39IWR8dE5+YxOQR9O0FrnMvuNgyS3A1yjRxMw4/sChS3Jiw4HFfXGLExIkB1p9FiyjfjzsErQ9s9Xapm0wLDp+Qzj7PDq9owOCU8LlK4wq1q4o5pKNFGHSvbkTvLMqhSz7Hi2vZtvhNscSWOf9cNvOuvw/9/ssf/EQSW8YVAzilvRcXY/eRHPtWLctEIAwz0X23muLzMi34900Sq6ptUSaqi9QWdTttqhsvWzcuVMxaV2cbYxel4dT2Vi/rGSB7RxCGsavqrWJuIi2ooT6UWSz/Vs3WFtRtbM7pQ5/xoup/0xxzLXvcdPaJWmZ8MIyhUDpBboHiEq7AZ1taenxY+Tw11GvVISJUA9lkMSEmGx5G7rYWyFX/iExFVVdVgmsgNwUdh9gelwXNNlm7FurVSzYdbMYRTEMLFcJK2z7MRPWsiqHz9nEG6BKGwQaRFqx1TyhLIZN6hMN10Vb1/9m7zAfdHDp62NSisSJh7uODIhRlGJQ4uLhenU8W2ZqGH7bGlaCZQxffmrXuyViX+DITm1VK9+pG1G5uRpFD93SvbjRKibzeyiw9Ugo6DrE9Jv20q8RoWkxNtGOtezJjQEULF915ThLwiElOXN5RLY6cAZoOJOWFrn2D2pywCEVK2tvqK9/vWjw5U46KQYvXbPHt5bJVIX5V0NHDtGDFLtEnzH18UIHqzL/FwXX3/EsBjE0WlTUNEOjlTXbkYQ/TdAzUprbQSSbi7kSXeGHo3W82ftMW0112qdfBxKRN79skRp2E5dMHfAyI44LT1KVt8jOu6hJqqA+lWhHVObp28uvy2JEXujnrc80Jh1c0oALV6mTgUn1l4wD5fs3WFiepnxrqc+om/22jVdjdVBxOd0YksWXGD4PIDbpkYtayimPG21802pH7Tljb4LIN2pIe9QAQpVldncp/+ITxm6qIery+qmxGOsgTPK5tL2dMMg19+2DvpuVZ4yKMfblqEc6n6Z1pceDXwzC81PZW5RwR28L18Pw7UR28XM5ETIgSKsPnTKXQQUS3ENFy4e/pRPQgER0nooeIaIbhXednOZyYOxG9hYieJ6IeIvohEU1JX59PRI+nP3g/EVUI73hXBgCGMJhzzcSsXRxvdHAZmDqVgqv0GcWBREULW35T/j1fBirSwiVSog9m//fxUO9xLLh9h5IWPlAxUhPTimopIr4fdxwgmRZ9q5ZlqbBEPbyLw1QU8O+qvhOH97BK0IjbYi3fTkxElCKidwLYIt36BoBnAcwA8BiA7xmK8XkWgANzJ6LpAL4A4AYAdQBSAL5KRATgfgDfB1AL4AiAL0epDAAQsiVdleRsy5NqA9/W+05g30nBJ7XuPdsCIdMCiHdg29QGMlT0cqFJFEbJ66KiRZhywiIKg67Z2hJvjHeJFqJe3xSfXleHqCE3DrxlSk4f83OjqBgXi5n869zvAXCHeIGIagFcB+DTjLFBxthGAIuJaJ78ss+zWe/Z7NyJaDWAcsbYN9N/zwBwEMBbAHyLMXZB+npV+vo5ACYB2AdgOmNsIH3/VQBvYozt131rMk1jl+Pqcc0PGZc9Mgc11KP3vOqMNQKXbMIwOF2uTNfyTIepUe2Y47aDtp0fmPKGjrf/wUSjEHOojhfEcReLnft557JZn/ho6PfbP/Jx5zoQUTuAmxljO4jobQD+SXyXiH4B4P8yxn4ovef8rAgXtcyPAWzjfzDGDgM4CuAyAE8L13sBvArgYgBXAniRM/Y0ngZgFV8GMfaKS9agsKCGeqTmzQnF2E1SHGvdk2MhEZYJirSQv5EFOSlJGnISErkMHzWLbGIat4OLbes+MvusrL99zTXHC65B4WR0rGty7o++ZfMz/1ZFPHWNnuqL8cqDoMOd+57Ji2PVBMWWmQ5ATtHWBWBWxGczsDJ3xlgfY+wI/5uIagBMAzDV8MFQlQGyGZo44R8+uDszaH92xz/nvPfwQbdgXBysdY/WFBAYk3pVW9nBSWPbYp1awjbJubrJZJc/iAG3+BweeWNFuE4Uaqi3mpi6Rjt0zT8rL+CnDryU9beJoe/dtDyH/i5WF75qN1WZrkHhZNRtbM7qD2Oc/52/y3ybW5GJdOXX4sTwigZlvtOwEPu3bctS67joWNeU1a7xDFpnwXQiekr4rXF8j4CcIEEjgDLNls+zYy/5hh8gok8DOB/AKwBmMsY+KNz7NYB/T3/0FsbYDcK97wB4Pq0vEstbA2ANAJSirGERLkfVty/A1cW/w2PvnYYjX1uOug89nfHKq0Q1Lv7FEJ68MVgEKlAFADiVjpRXjkoUoQh96Ww1ZahACin04iSmb67EibWjKEEpenEC6W+iFGXoxUkwMJSgFKUoxyn0YBSjSKEEZajAwIVnY/iFP6AYxShHFQZwCsMYQhGKUIFqDKIfQxgEgVCFSRjEQGahqsJkDGEwY+VQhUkYxnBWm0Yxin70ZbWpEx2YhBpUXHwZ6Pf7ctr0x+vOQ/Uje1CK8kybDnz8Qsz7wktObepHL0Ywom1T31VzwZ582qtN+z80F3Vfe07bJpd+CvqlPKufTqEXMzAz06au9y3F7Hte9G7TiRULkDrQBbS1x9ZPYdt08uarMPP+F7z76TA6UIlJ6LvhUsx4qD0vY+8UekEL56Ks7Y/GNhUvuwLlO/eiFydw6P31OO/be7Vj78R1F6HmkTanfhLbdOLDK3DWV57IadMOPBKLWqbuY7eHfv+lj34srFrmZgC3McZWCvfvA7BbwSOdn816z4e5E9E1AL4I4FoAHwZwAWPsr4X7LQgOVSlMZXSxZdo3NMYSoH/vpuXO1jUqnbKrft6mP5ahK1eMIWLSK8d9bmD7no++nZfj0oemdsQZT2WiIJ7HREEYWuRjjLiO87DnM7Y6x6JzPzcic789NHNfCeDfGGP1wv1HAdzPzzeF687PinC2cyeiywD8C4Ab0/r1wwgOT0XUAjhmuWeEyuQtrswrnLG76A5Vg9F1cviafqW2t+a4qQPZtDAxBJd6+aocbJ6jHLbttA8jM7UjqilkFPStWobu1Y1eDjUqdR4/j/E561D1Wxha+DJ2F+sg13EeVk9uqnOsapmJ8VD9HYD5RDQZAIioGMASAE9GfDYDVzv32QD+A8Gq05m+3ArgirRJJIjoLADnAXgqbGWAXCcmlS73pucPuVRbizjTdMVlwywewnLGoHJWiVp+3OBmfraYPnPWt2QxR1cdPYcLLVwTM/uictvOTIAtDt4WHcNPbW/V1sfE7ORFQdVvIi2GVzTkJZ+uiXGbFjmbmbKvkDHRh7j5AmPsGIBfAribiFIAPgmgDUDOabjPsyJc7NyrEdio/zVjrF344G4AHQA+QUQlAD4L4MeMsa6wlVFBpUbxyawkIqwlgwn5SO+W2t6qHNS+0opKeuTlisw1ihTEPSGLes2x5wFkRR+M4nzGITNtuS84I/G1DHJB1cFAbOMMX0VrV/v2MNEkeZ+ltrdi6nMnnN6JCybHPFvkVh8ho3u1XpUXp/37ODgxfZ2IehAIv9uJiBuofADAPADdCOzYb2JpPTkR3UVEXxeK0T6rg4vk/k4AVwP4TdpDlf+WAvgzAO9AoG45G8DfRqkMEBz4iHDdCouBxHTSg8mSIU4nExVco9xxJjRnfUsOLVwHtJg/U2RqnWvHkgsvuH1Hps2mcm2SFmeoMrPuXNukXDTCbtFlWnSvbrSWJTIS2cFHhq9EKS8ktlADJtjUD/IcqMKkrD7T0SHsgibSIu5F0WeemQSnWOuVZ7UMY+yDjLFqxlgRY6ySMTY9fb2LMfbW9L1rGWOvCu98TjRWMT2rQ8El67gYV6GKcvOnZuHR2aHN/0Sk5s3JMYfsW7UMg9VFqNnaMqEJLgCgl5200yJP0B2otm1ZiprdJQDGMd42smlhSrphS/Dge9jtApsTVdhv6t7L97jwqa/u0NMlMUrUvojrQHX234c/UN3/CfcD1fFGwTH3C3AJplFtqPd9rGHigKtnZFhLhWOsMzQtTIiLwY0no8wXLWyghnp0LZ6cF/UbEM67Nh+0mGhBxhXi4h0Hcy+fHY257/tk4TL3gosKGQULLo0uzQPmLbq4RdZZPnDrCo6S42MHYPLzUQ+M+lYty9nquqpSOMKqpLgzV5xbZFs6vvFG2GQYHLZolL6MXRxXYehhOuSVvWTjoLeqjCjljudu8fWOgmPulULcbhdkHZLGoKoB1JnoOeStpizt8NjXIkMQn2Gte7IYuurAiH+z6tIrnOoq7wp4/V31yGHN5EwTzfWQ1rWOlajWZpQSvxf17ESuj44RiYu8/IyNeQ9NUccLkhN9qFCztQWlV/sFvuO0oYZ640Ile8n6WPXokMmkJTwfxxlBvKaQp2c894JTy1yCZagkPwafAY+xEhOTn+iAVH2sJzQt4txmF8KWXUcLrtsVVUSuibB5u/KhXpKhU82JY0w13pTXBFqMV9/YzjImArGpZT78D6Hf33fHPyRqGVdwN2gfLN2dDruw8kAWY1fZw/vYBOsYu4vU4CNZ6KS1fvR5J/Pm6D1PvyjINLBJi2GZh4nWNjt3+V3VuKCGetRtbA7ingjMWWbsuiTSvF06xq6LU66ro+l6anurUtoVx1jltp1KO3d5LIm04G3Ih627CBtjN40hn7pNRMyYCQoclncUHHMHArNGFWPOMHEJu5YU4859z2Tu83dV9vBxSGh8oO/dtFw7cIcEYwYb8/RRA5kwWD3WnaYdh0yDfDo4yeD0sh18uzjRcMYmS8TywuGqN5f7ibXuMS5sYpmiqk33LbGeunGjku5dJOYw4zpOByF5DIlCCa/b8IqGDPPWCS2+5r6xYGI8VPOOgmPuFajCweUnlYx515JcRxk+WO6ef2nmvs3Jae+m5VqJzFWXOLyiAQtu36GcVFyi5JAlMhWz5+0QmQkP4sRhk4B8JnhUSS/soRivI2cspnLEeyItbAuebuHwWWR94eL1LLantGc0576qfqp+ksdFWMTpqQ1k11/VR6ntrTh753HtfZ8xFSXD2ZmCgmPuKphW6TB6wAW379BuZ3vqSp3KECUseVDa4tKomEgU6SxM2jReliuTl/tAbGPfqmXekhRnLPlMdSdD3NnE5bQm097UF2J7+BgQ1RCqcRG3pU5YuKhLTIujSniRYevv/7+9r4+yq6ry/O1KfVclqYSkgCSEkEACKZRIJSZVSisBv5Vl/GAUOuOsUaPGpTO0HxF7sMfBboztiMux0xp02jY2oA5GaRWkJdgCFSIpDGCgiRCCUHwkgVRMqpKqVGrPH/eeV+eddz7vve/Vo+r+1qqVvPt1ztlnn3322WefvcviLZXCJJOb0Yk0tAAAIABJREFUZQIhwqfKsM3SaZeWYvCIgaDTqFzQMaVNeLgEqqiLjhY6uDRO28D0FR62PmjeuqPsmlT/RWem/obcVnmyTSMEBe1Fn4Zq/0mUk6z4QkX/2i4j36bdTE36vtw3Zds4zs0y5UfL0nBq6ZaWcigCX4iB4BoQqj3XpE28dG6D8RmXQM3aBp5kYLnc8kIEYmiQMB0a7n6k5Bp1dmDP5hXaPhBlyhOpqc5Z0Dvro/I6BYA6O1LZml2rlbYt27U2f7kuj1+/KpP+9K1bRbzVcuFefgw8QmhEc8n1UGH97KojWVWpBLI9t29DNw4tnaZ9zhX7wxVFEYCWFlkNLNd3arf1FgaWy8tDB1kgCJqpgilk1aWjBffuxuJ192vpK8qUha4rREC5IOoXYr7STRbcuxtzN/ZoaQG4hXfttl5vbxQxIam+8WdfdV9ZToGrcZBk9K/tKpwDyOGPqhLuAFCjVKlvQ7dZWBtyh4r30kIwm2lAzN3YExSDQ4YpbZ3sfqfSAgiPpmgaMCHfSRI6QUcX1XRj2tDTDWJBi3KdUvU1x+nK9xU6qvlK/Zbvd1S+sCVCV79pW8XpDhpV8nyDKEu30uXe3dYwymmQ29wrBJHOS8Bqy7UcVnLZgH3MCoLZ2jf1VExrkN3vVFq4oGtTJQZnEl9wG7SHfWJa+J5uDPGX7l/bVWI7N8G2WW7iEdN19Vuu7wiofGGbfG33VH7JOlMTUNwvvpvPvu6nOeyoOuGuIsmG6YFbl5SaHRQtP9SWJzO+afCZmJU6O7ReOOI7vtqo6zldmyoRj0XEJdHBNRizqp8as92modr2QJIID5vmLF+3CTrd8wLyhJOlf7ftfIUOsp+6CyLks85DyPR73DBBbe5VF37AK+RvmaELBSygHlXP+vi3/D1daFdTSIRqCBFQLuxf342Wf/hVES0G16zE1N/swclDhzIrJ+twE+Xqk/EMBZ010oQ1yCT8wJwzeMFHkocfeOx/5uEHvFGL2rJ8NyQLk0mwA6WanWnwCm1u37VdQZ4l4nv7ru3S0sIkfJJkGyq3Vi+vcNIcK2/f1FNCi+atO3Dy0KGyabJpIQR7lr7mArWoLWjzrj503dfl7nXBxxnAF+2beowumOo1Ucd8Y9UPVSfcB6DfPDWFHgAkwW3ZYBVZmHwGWxZCTyytF1yzPZHQaH6OjLQwQWsPXrgg6HkbhEDxFdSyeSGtn/QAjhT1nRDqcuo+tZ5ZIcn3BG11fR8inHS0HsCRRMmpdbwv5+717VeTM4AOPpPvwBwqMUVRZ0fJNVO4idSYoGaZqhPugD5NnggtoBO8hfR5ygbr1U8Up2zde+Myp6AdWd1pDS0r4DPgKxG32jVZ2VYhOpjaNbhmZUGgZBEdMMleitx38oa5OkmF2s1VAaT+znoTTxdjxkR3F61DJmgX77vKSjLJ+Rxu0z0jonUC+gki0wk8F+6VQT0aceh5ve84EMbM1y16ZdFvWw5VATHw5ENIKmRBZ4K6mZRksqhHadxvFaGrgtBEHr7liPbp/Od1bTO5QZrMDT60EFA1UFu8daBUuFQybomgt47upr4KoYWA72rBJjRDJjnf8kyrhf3ruwvl6fojqwmXkLtCVgzPf67buOxz2fpCtEGbZwtQrMWo3/XJFhSq3QpmlQVPHfzi3IRArbsYXEltw6K+YlLU+c+HDERT7lodLUyCqPW5YhOemhwjy01OH1NG0hWcic+S8IWvKcOnr1yntAfXrPQuzzROdNfLtkeUa+6VwcwvbzPeU4W+aocPiXJnSpGnG/gh3zUJDl9ml98fwJ8L/y9XnOv2TT3o29CN+sMjwadf+9d2JRaUprLkb8r9M4A/e4dxUF385DSHOoRsyqp18JnEdTRKsxEs+GJkdWeRhuzKUqVDEvOGPIHreKBcLo4T1RusXPAS7kR0KRE9SkRHiejHRDTd451FRHQ3ER0mopuJqCl9dYuhCwEcAl1CC5d2kGkcaQ1MG6BZ2LnVQS4G9tyNPajd1ut1alUWBmmWxqayZjwSCS7VrAX4De7BNStLgk253gsxw5i+FTr5nnr/kPa6j3Z68P3nA4gUBllpMJ1QtfFOWvNGyPvl8BxKjRQmmZe9WYaIZgH4KoA3A5gLoBbAN+N7x4moX/r75/g6AbgZwA8BtAM4CODrPhWqh9nWrUK38WqC8KiRtRudhuHSssptjz05YyxWtw8tahcu8F6uqoM8ycDOytZpMqHJp4JluGghBEfz1h3jcjgmZPK1rSZ8JrA5N/3Ru6w0niUhZhCfxNpVc2hJxSQ2y7wFwD8w81PMfBjAOgDvi7X3BgDnMnNb/PeB+J3lANqY+ZvMPARgQ/yOU3tXB7FNU5592WMe1Y8gNlN1pwVdyCKUQRIIWtg2p0b27gtarlbixGo5oBPurkTUtucF5JWSuF+O/pRXPCemN6YyMYQoQAJym3xNMT51FMqF/KwuAXhVau0Ck1i43wJgq/jBzAcAvAjgTMs7KwA8KL0zAOBpAOe7CpN9u9WMRklC+cqQ33cd+gnxRbalGHPBlASjf21XgRY27UtXT9vGcmjm+XINytAsQDqf/1ABqY27v3dfgYY233SBtBmogOL+lPvKV+iGnn8AitvUvzj616ctumdkxwadciHnixX/6hJ/5ygvnMKdmQeZ+aD4TURtAGYC6IsvfYuIXiKinxCR8GGcBUA9F34IwBxnedJ0KJhGmFSeHSg19csnT11mGjW6pE7DEBADUGZCX4E/d2OP1QYrD2jTqqBty/YiWrjqKSNJ+jSd4Et6HL8cqwMXLUzxz3Ubjmr9arf1enta+UwoIZuUcl95H0yKaeHaTDX1g08WrEJZUrhiAdshJjEeBV+aFJNqMtFMVJt7cGwZIvoCgDOZ+YNExAC+COBvAfwzgGPx9b8BcDozf1R67zcA/pGZf6h8bx0iUw/q0dD57m8vx5MfacEwIptkC6ZiBCMYwjEAQDNaMYrRQgb4JrTglb88iR1vjZ5vRDNqUFOInNeAJtSitqDt1KMRdagveBzUowE1F70aQ3ffAwajDvWoRyOO4ShGMYpa1KEBTTiOAZzESQy+ZRlm37YXQziGEZxADWrQhFYM4zhOYBgEQgumYhhDGMZQ3IZpOIFhbZue+fS5WPzVZ0raBAAv4QU0odWrTfUXvAIDxw6C9zyJejSgHg0YwBGvNk3BFDSiJbM26frpwDdWYP4nHylkEQrtpxMYxgzMitr0tVmo+6vDwW164drXYc4195a06dn3n4NZN/0huE2in0La9PznujH9jj5MeeCxQj+99BdnoP63u736afi9r8PJH/8S9WhM3E97r+7AqddFG9r05ovQcHtvqjap46lSvHcf7kgd16Xp9DN44QeSx5Z5ZGP1xpYJEu5EdBGA/w3gYmYeIKLlAH7PzCeJ6DUA7gTQDOCzAM5h5g9K724H8HVVuMuYRjN5GV6DBvI/pNG3obtE+9174zKvA0tJIbTyLDxYbBji40G0UCFr3rJddGR1Z2ZHuEOCY+n6yhcyLfZd24UF12y3tsMVkKqcgdZ8vp2mD9LyhU8dfOtnW92l5TPxbTVYHxDR+N92fjG9cD8tpXD/SvUKd28/dyK6AMDfA3h7bEMHM+9kZuFsfhDRBuspAA4AOE35RDuAl2xlDJ3VhGOBMcx1wkII9hBvGh+IpWn7pp6yC3YATlq4lv/yoKvZ+2zh/8ImmkUAphABOXdjD6bMmJGoHEGLkdWdBbOCLQxzlsf2Zai2YnnPRJhBvDYiPUJIy5CDZsl8obNdm0xUtjqE3JNRZMtXThcnFeyy5xOgT6SSaSTWCWqW8fVznwfguwDex8z742sziahOemw+gCOIhHwvgAtjl0gQ0Snx/Z22chqePIZRhCeoFlCFeYg3jYxqceVy0cJlo5UH+clDh4oODqk+0jqo+wZCCKXZDEsaolfQwhUzPSl8be4qD9hi3PiW47NhLiJM1m7rLeILHU+aUvT5IM05DlFuEsFrc1GuJvt8KIjoCsVdvJ+IjhDRX2uefSw+FySeuytN2T5+7q0AfgDgg8y8T7r1XgA3EFFb7Av/NwC+wRF2Idpw/Uw8AXwJwC3M7BzZtahzPWJEUmGuIuvlehINOQr5m5wWQOkgP/uq+0omLptQU7VfIYTGY7CZaJEkAJkOvpvQzkBtmr6W32l+jgD4b7rKgl/QXaVFlkG0TGYzXYgB+V8B31POquIQMjlnnmqvjK6QzHyj5CreBuBUAA8hOgekogHAm6TnL07TLB/N/V0AXgPg3viE6lEiOgpgF4CnADwaV/YeAP9Teu89AN6JyBRzKoCP+VSoAXpX+JKQv3F43z2bV1hD/fogTV5MH4RqyEAkbHS02HvjslSaszpxhXrWuOL72AZ3muTeghZqX4XUX50IksSb14WtkH/r+lqeDEXKRnXiDelTlRY+XjZpXQ9NIQbUid43N68tdpMNfRu6M4/SWWGzzFcB3MzMT2TaCA2qLhPTuViG6XTKeFelKnCYXyyihW6DKuvsQVkgyw1bAZUWPhAbcSOrO3F0bn1BKAyuWYn6wyNlyRnqQprMQwKH+UW0XPLGcal/FsiKZ7PIxNR02hl89pXJN1T/8DX/DVUiehWAnwJYxMwjmvv7APwBQBcihflKZn5Wfc4XVRc47CTMSTlw5zy7BpJSg682qLTQbcJVm2AHypNo2coXBghhXrutt0jba966w6uOuhVdWh/+LDbiT+Jkahqrpg1bUpcQCD/3/rVdRvu9D8/axnmm5yjSmGQivXgWEe2U/tZZSvs8otP+JYJdwvMATgfwOwBbkjesCoX7FETBwLRp8S55RssYhWcveSYonR6QHVPbGE6+F2LuEbTQQTe41QFhqpNu0GUZEK0ch5j+/O5XJX43qYlNt/cSGuqhHLSYgimp7c6qaUNO6pKmzsJTrW3L9lRxmGynvqssOuRBZl4u/W3WPUREpwNYA+D7lm+9A8AnmXkYwDcArCaiuUkrVnXCvTE+RCGYxEfoiGeT+LebMhWZBIJpUNnSmcknYUM0LkELF0Sd1FC3phye8qCT09XJSJqv8vHrVyUafC6b9+m3uE2Uclvl3LXlWEmkic8SYv8eXLMS+9d3F73TiJbM7M66fQfbye0QZBmmulwB+yjlXwDeAGAPMz9veoCZH2bmwfiniArgPNVvQtUJd3EaUGDuxh6/jbg752kFe1INxxS1z2dQqVrH0bnJkm7ItLBpU8KuLEOkKXMtgU2DRrwvC0bq7HAOWNOGmmvTzGWuUPlCB9HW/rVdiXPX+sKHD0yTnFov2wTavHUH2jf1FL1z8G1ne72rg8lLhTo7Cn2gToa2PpcnHXXSkvu0qmPJVCZw2MWInE60IKJGJZT6/PjfJ4NKkVBVwn3ozGaM4ETJda8deCV/qsDAHAr20hhcs9KqfYYOqKRalkwLlzas006zjtXNvbsT24wXXLM91QDX8UXhntIfunbrBFS1RMis3daL/rVd3vRp+sUDRe+GwNR/Nv6y9flw65gIsU2m8sTri/61XWVLUiOjQt4yCzAWj0uH1wH4IRGdFruffxnAv8hxvUJRVcK94alB1EhVsg0+l0uewNyNPd7uWQIujc9nQCVJoK0O7pqMukfdV7AJEdvpRt2kliZ6pgyX+a0GNYV6J/GR1gkoWaCNh6CXade2xb7SkJ/Nii+yQKgCIZ734Zu2LdsrchK8QmhHdHK/ACL6PBF9CwCY+VcAfg5gB4C9iFzIP5KmwOrhkhhNGMuOZNMmFq+7P3jz1ISQge278WhLeCwEqJpOTh3cMi0ERlZ3WicO3T11X8EmRGynG2u39RYJ1ixcHsX3TDZ/gSa0FnzMXQM+dHN4yowZWl4rh8AX7aXOjqDcAjKdVb7Iop6h3+hf25VqU7eq3DgrYJZh5g5m3qRc+zs5uGKc/+JMZm5n5g+LMC9JUXXCXUSvE7DZanU2dptGf+DWJVqNQQ6o5YLvxo6u3kKo6swdAvIgU2kBlLr1qQjRjEIgx9WR6yKvApIsoX3NBIIWPpu1ch+5VkeAOSSCbmMxbUIP0d4XVo6ZV0M3oFW+yMJ7JPQbbVu2Z36YSEDus8xPo+pQGZt7xVF1wv0Ehos08tATlLWtZtvs7MsecwZLMmkwocIySUx1oHiQncBwom8A2WtGJm1fXM/icI4JezaviMK/GvrGttHLvbuNcUtc2qqOhraEHiGTWxpahfBFpc1NvuZSG+QxoE4gIXsTfoVN8sBhlcSznzgfNU+Ys/G5hGyIK6SO8U0ajBjo5d7gKcpFGepsBX+NMsmgt307xFQi96FNYIt7i9fdDwIZ+0bd6FXraZrofN0UfbXHStmHQ/gijVafJFOTmshDNkOlLY86OzDjkT9n7wWVa+6VweL/8yet1nvDnyIvIptbYUgavqTxvF0D2CQAhb+yin3XdhUJO7lOLbC3R1eW7L1gg6ntNnt1mkE1sGhsRSWEbd+GbqvADqGFjDT1NEVZpM6OEq20Ep4cuvJCaJEULo8xAdczYrwk/Zbs6abyRA47qi62TAeWo5VK0+llAZHkwYVQwZ9lfBfq7MDA/Gjz8CgfRitNt9bHZ1OzduECnJzRMi4DI6ukGIIW4wld0ohywkQ7X1qMrO5E3eHjRRv3aTX50PezGBumcrOILdPcfgYveW/y2DK7Nk2AZB2VgkilFQLfpBxCsLu8bEIZOC3zqqYm8T1BC1t9fGzruiTGWcJmrpE3DkOgLtFtfJHUrhz6nk2w28yFpnuu8k19pqOFbhVRu6236JRyWh4Q74esWHRRNGX4nEEZmF/qNZa13T03y1QBdIxiiuNuMtPY7PIuxnWdtFTts/Jvk8lDFtA+A1BmbNkHXVd3WbBksdmlfmNkdad1ctOZsULNGa7JO0RomUxgaYXFCysajPd8bP7U2ZEqvk/rc+bAas1bdxS1O20cIZtp8vHrV5UEDbP1j+kMiroJrtY5S7v7RN1QrTqzjCmH6uWPPo8fnTeWuW/FrpO4f5k5sFZWcC1FBROGeKfs2bzCmEFeLk+XK1O3zH38+lXBB7VMy+XBNStxaPEUrctnFjk3TXDR2SdvaKXNJqEINVGYzIhZ5VDNClmbXny/l5VZ5tx3JzfL/P5buVnGGyY3L1mwA7AK9jQaqqpV+hz7DxVqsmBXNRKXK6SO6VXB7qOF2lwbZ+zRa4FJcm4OrllprY/Iqeqis8v9jzo7ChufNpQrxolPeAPfE6gCpv0hm1uo76pIPbUcaqJyRVMNXR3I/a+jU9lcOtOYZKpHL9ai6oS77uCOL4RQN2nFLgyuWentzmY6ku8jPGTGNx2K6tvQnZgWabUo3fs+7oA6wdK8dYe1Pr45VV20EMLBNUmkoY1NcLrCG7gQoiAM47jx23I9BI/6nFqWv6cm/dbxtPy+zq4u+DoroVxWZ4BcuFcAi9PlDJ1x2p9TvR8y8OUj+QJiOek6FelzytX0jE3AqBNNlq56Oq1Y1c5ME2NWeU6TIq2AEe+b2pe1Vpnke6YzG9TZgYE5VOANk0Ytv68m/TaNC9VNEShdNYvrSU+aivfKdVKVMHFt7tUl3PecQAumFhgk9FRoaIJswdAhg8n2rBgEunyTPm0RDCwmA50/syxgZIaXY5Xong2BT8x6wD5Jyd9IelpXxkuffb32umsCC+Eh9Vuir9V2qzzgq1X6mipMG72iLTq+sJ0XmLuxp8AbthDPodDt85hWzSXJQTz7RbxX1r2UXHOvDPb/4xkFBnEtVX1dIAVUF0jfpbysecqbPiGwhTYQEAzcvHUH9q/vxghs2biKGT6rZasrAbFv+OSQwejjKnj6V/R2WHUCkwX04JqVBXdAFbpJQf2W7r2R1Z1GWmvNH6s7C+1LknBC1prFeHDxRTns01nvVdg25n2QdeykiYiqE+4tH3ukkAvV1YElmrqaQ1X57ROaQFfm6KKxRBG6rEcC8qDSaWkhArh9U08hQUUSH2odfMwjJgGUxeDW0cQmiGR66ZJ16OgpC2gfF82Qdj1+/SrUbus10rz+6Gjh/6Jdpg13tdyQergSl6jRRmUkNdVVKlev795DlrGTiDnxXzWj6oT7rE3NhcQbogNVf3Wd//rVTzxUlLDjwK1LjAk8bBBlDq5Zib4N3ehf21U0KbRt2a71xtl3bVeRsJGFZFrbt4mR96/vHtPmPIR8GvOIGNyhLpcydBMH9+7WJv4GKhP0KkRoibab+kP+lu/GruANW87QpFCDpgHRpCZWX+ORHSnLXL2ZYLJ7yxBRFxH1EtFhIrqDiObF12cR0S/j67cT0WzpnSYi+gERHSKi7UR0trmEMQyuL63Ss6uOWH8DwHWLXln0O9T+rqJ56w7M3dijNS/o7Iqq4JSZOKntu1kTz13WvtXwuzJ8kmOHrAhCVghplsymA106WghkPQnoJuOQAFghQrN9U4/2m3M39hj3PgQtfBKiqzH4AWDaH6MxVi5t3NZ+l2lqPJKmTNoNVSKaCeB7AD4OoA3A3QC+E9/+NoCHAcwGcBeAH0ivfin+/umIMnn/jIicp45GMRoUAKxSEEynah6mASgCZaXR2kcRLfPFKgJwa99CK+Pe3VotSR5cIX7rIhWcD1QPoiwgaKGDPAlk4Zmjm4xtAbBM4SNskGmpixtv2/sQtJDLse0FqO1xKRvyPoHA4JqV6F/b5bXnEjppyLRwrXjK4jUzQTV3rxOqRLSMmXfF/1+KKNHruQCeADCLmYfie08jygX4FKI0UUuZuS++dw+ALzDzNlM502gmn4NXYCa1e1X+8kefx5fufkepJn3nPK1JZu+Ny9B6T7OXJj1epx3lk3ov8X4nLbIMWlYNMJ1UVWkR2u6+Dd2JNjSzQFbB04CIL0e//7MSvigXH2RZ9ywg2tm3oRuPfjn96dCWWWfw0ndclfj9nd/71Mv7hKoQ7DHeBOAPAJYDeEwI9hgPAugEsATACSHYY+yK7wXBZqP70Xmn6V2vYsGueseMHK3TCnbdUjCpYHctK0dWd1q12UoHLUsC0UbXqiTJEtu3/aGnPeVTtzb6Z5WsRUaWwlHHl7r4PoNrVmZi4qiEYDf1h+Avoa1TZ0ehnVlO1JPWLCNARJcQ0dcAfA7AVQBmAVCPFx4CMMdxz4omtBT99u7EO+eVLBlV7xjdRGBbzobCR8up3dbrLZBVWiRBOVzGRBtdKyDdhp4KW7IOGSZa6JbpOnOTTHNbNiZXshYbbMI0yYQiQ26nSgtTeyulcVNnRyo+U8eD+JbgLzGhla09E9QsUxvw7AJEtvU+AI2IDnepQUhOetwrAhGtA7AOAOrRgGEM4SSfLBw3b8FUjGCk4P7VjFaMYhTHMQhgjNGPrX4AM/EABtGMGtRgEEcBAA1oQu2PzsDA5XsQldGIOtRjANFp1vo7t6EeDXjqygU45V8eQh3qUY9GHMNRjGIUtahDA5pwHAM4iZOYgiloRAsOX7wItXf9HjWoQRNaMYzjOLHzLhAILZiKYQwVQrM2vva1GL1np3ebml/xKvDDe3AYL+IYD6BR16ZXdmDgoZ36NqEB9WjAAI6A77zNu01DOIYRnChuE4ZRs2Qhmh87WGjTyQuXYNoDz6HvQ0vR9p37tG0aefdfoPWWnTh+523F/YQo569o0/6Z+9HK+6M2oRYDiDbL63f+uahNoxjFFJ6CARzBc/91Kc74v39EPRpxYHQfRnl/cJsK/bSzp9BPLZiGExgu6qehVUtw8LTjaPvpH8y8J9q082hpP4k2/eRfMWrqp52/AYOt/TT6/Z/hMKag7rVdGLjnN+h/7Zlouvs/tG167n3nYurNvzO2yWs8Kf2kbZPgvZ29et5ztMnYT3fei2NqPym898L7lwI3qdIkAV4GGnhSBEeFJKLXAPg5gPUAPsTMl0j3bkJkfvl3AP/CzIuke9cBaGPmj5m+rbO5myIeHrh1CWZf9lgmtlRZ404S3ZA6O3Bo6bRUNnqdzVRnc0/S3krbTdNGiNTBZ//BhSz3UXRtlPtGpnn/2i4MzKGifjPZyH36ykSLarCP79m8Au1311rpLOrZt6Ebx04bRe1RCnLTFf2YRVTIllPO4PPfltzm/rstL3ObuwxmvheRFj4M4DTldjuijdQDAE413AuCKeKhcHXMwvYmDwiXUNKZAbh3N9q2bPfayTctwcVAl5e3QxctLXlu7sYerTeDDN/IlmoM+P61XZl4I9homMYOrL4bGksniWA3pUfUtVGNySKX2/JssRJlM80l7QNT8C8fuKI82iDXd/G6+510FvVseZZx9lX3BZ+/yNzRYYKaZXxcIRcQUZ30uw5Ac/xzERFNi69PAbAMwO8APAlgmIjOkz61PL5nxYtXvcZ6XwwK1eXN5KKVteuUjbHatmx3uv752OQFpt+9z/iMTYCeuuNwyTURWlf9jmw3b9uyPWjgJBEIPrHxdWhEc9G7Os1ZtweQRmgBEb9lkfjal65CUXDRwgWd0mOaWAfXrCyJEukLEWrZBjEG1b6ohtj7kz1w2HwAtxLRWURUC+AaAE8D+FcAvwBwXXz9swD2AHiImUcB/FN8r4GIrgQwDcAdtoJGzm7AGdc/6FVxdbY3nZzsX+z1uczgu1nq4/9+9N3Fqz3fTatnLi1NbSdC67o0Z596FcIdJxQIpnJtE1aNwqriWTWWTMnhq5R1LFcME5dm/dK55sxOKi1s8FkpqadlQ+BjBhJCXO6L0BDSZT1Ny5z8r4rh5BJm/i2AGxAJ8oMAugG8lZmHAXwIwEIA/QDeCOByHjPifx7A0fidTwG4jJmtQTFqHx8qbNykhXCD9F3y6QZxOYMTtW/qKTqcpEPtLb8t/u1pxzYl2wBQtLcgQ/VQsEE9dOMjQEQ7Tc+q5ZbEXjHwRf2RsQHWvHVHJrZ+ueyQw1shcJkTbf0QMkZk4esSxFmsUHzNQT5aexb18cFk1tzBzD9h5qXM3MbMlzLzE/H1Q8z8FmZuZeaLmflp6Z1echJ4AAAgAElEQVQhZv5LZp7KzBcy88NJKpj0hKcuSJgu/6eATiiIa8Lkk7WwFyEOVKQVJj6rBzmGjvzbVXb/2i7UHS5OnOGjvYl2ys/a+tbUhpLE2VPJWXYo1LJVQVS22OJK22Qzhq/LaFKIE6g26Ex7KtQkHbY+DtHGJ9JBvUqh6gKHNaCp6Hf7ph6s2GXWRG24/NHni37Lfu4iHKwLMsOn0QpDJgYhTFRahMJ3SS4PQJdG1bZle2YeGapmZot7I2ihli1/w1dr9Im7Y0PS2OQuqG2TzRjyPZkvbH3hK/j3bF6B5q07nH2vy5plKsN1FqJ/bZdTYJdrEi1Cms3UiaC5VxK1Gtf7JImw92xeUZJ3VYZgLJ8Y6yGREE3fc00M+9d3FzFz34buIlr4MrosqEUmHvmbuu+1Puc/eZo0MXFdd99XaNri3uj4QkBogD7hik3ugiOrOxN7XtnCAKtl2OrmXZ7n8RRXkhGBebclFwPcu7uIl3xj+8gTiSnncaU2XGk0+V81o+qEuzgcURKbXQNbgDGhpbu8aLL2Cx6Yb45eaMOJqaXM/MIb5xf+78votoQTsvCSvxey5DVpYuK6y3aeBHtvXDbGFxrI9e/b0F0iYHxC8aa11dveFzQYnl4qlEXdfOgknrHRwgaTsE9j8hhZ3VnES7Y9LtMEmDTncWaoEs2diBYR0d1xlN2biSjV0r3qhHsBHrHYdaF/VZi07nJoBb7Bm3Sbi6rWOHdjD1rvKP+BFJMmbkv8Lf6vW030begu0tRN+wqAWZNUv1vzhD+Pz93YUxAwLoFpc5NM60Ip00+YvlTekNvvwzdTf7On6HfaiTMLxSZkUvR5dmR1pzX9ZZZ5gQXKvaFKRI/FArs//rtL8wwBuBnADxGdCToI4Otp2lV1wr2+NEJBRZEmmcDR08PMR7rBJQs2H1qkHeAmTVwdiLrYLLrNzLkbe7zMI/vXdxuFizrxLrhme4EWtuTj6j2XwBzZu8+oTaZ1oVTppzt7UEiyrkwkMg/I9RM279FLXw0gm03GEP5xJdlOAnWVJadFdGXaehmhAcCbYoeUNma+WPPMckQn+L8ZB2PcAOB9abT3qhPudajP7FvqhqoNwkc6ydF+AV/Gs5UhCzYXLVRtMGRpL5Bm0yp0oMl17V92IuhdQQtd8nGBJJpoFq6TPgHDxP6HTvNUJxKZB3T1m/rr/wiuo2kS850g5ENjKv/6ThC6AGNilRXq9WOy0weDUS1+7isQRdWNqsU8gOg80flJP1h1wl0EIJKRNAGDbkPVmN0moY90OWN56GghQxauurCvOrjc/CqFUDvrAP5cJADK4UmR1K3QxgPq5GPKvBQCHV+4JhhdgnafxOQC8tgQ41H86ztBqCkV1XshyNJOXyE/9/9BRC8S0V1EpIuOmziSrglVJdyHztCHdRWzexaztUmYZanR6mD6nmkJ7vu+QFINNG0705iFbGXrBIwar0V8Iytfb5eACTFHyLZjoNSLKWv4TDDiGdEO3Qav61vA2Hg0bZ6aeMKX18p5eFCLdBuqs4hop/S3zlDK84iy0v0OwBbNfe9Iur6oKuHe8PQA6hEdu7780edLOtk4W3t41gCw+surKctMk4DOG8MHpu+1bdleGPiqdiVoAWR/WEcM8LSau6BbqB12743LrG1SBYxMCxm+fveycJVpHCJIZHOEK92cbDsGik/SuqBuSqsw0cIGWeCKdqS12e9f360V5Ka9J19eyzqiaJlxkJmXS3+bNc+8A8An41P93wCwmojmKs8MAahTroV3tISqEu7AGOP+6LzT/DvZw7MGAPqOt3kN5tptvUbtQ/bGAJJrGaYE2kUCQerbEOHgg6Q+3SZvBdf31FXXwit2BdnsVYHmmmDV+yYaJxUkpmilKsREIgSbj2Igb0qrQn5wzcoiWviuWpIIcte32zf1aL+bdNNzXJJjo/xmGWZ+mJkH458H439Vc8sBmKPsJkLVCfcQH16Tn7uaXk/g2VVHSo7Om6AyrWlJmUQ4PH79Ki/hKtOibcv2sjH/yOpO7yWzNeaJxUQjVl3U2WE8mm5zc1P5whUzyDemkI9rnc8zzVt3GMNBy2h/YOzki0sxGFyzEnM39pS4lsq0KOeej+7bST1lfHh3XGLRp9lM9cs/3UhEciQ/cXjlSeXRXgAXxi6RIKJT4md3Jm1a1Ql3DjgZYPJz18WVKXxfYqCQtGjyktI2KH00ed8Tr4IWop6Hlk7zei8Utdt6M9lYNZ36VWlpOppumzhC+AKIVgquerjKDHkG0Jsd1IlBVhpcioGcL1TOIxpKC/FeFhBKSai/eVLBLfeZT2ybJCiz5v46AD8kotOIqBXAlxElMjooPxTnqe4D8Jk4rPqXANzCzKUxHzxRdcI9S1dIF3y9HIDSSIEC6oZeqCZv0oT2r+8ucf/ztbuHmIp8NfaQjdes3RWBUr5w1Wfxuvut9UgL343k9k09mWwQynlEZVrohLaublloxUncfuX3QiYY0b9yn+li22SCdBuq9k8z/wpR5rodAPYiMrN8BACI6FtE9Hnp8fcAeGf8zKkAjFnrfFB1wr3+/53l92C8iXrg1iUAgKufeKjETHP1Ew95l2vLQrT3xmVGwWDa0PMVhqp5RgyA9k09JYeYfAdUyATjq7GX02XSR/iptNDVJ8uY3y6B1Lx1h7M80a6sNwhlWqgeMAduXWLc0PQVrqrCId7znSD6NhTHSZIPJen6Wt6HEPerIZFHVogPJp3JzO3M/OHYhx3M/FFm/jvpuX3M3B1H0n1XGq0dQHgO1XJiGs3kJbgAbTQr9bdu+NM9+PD812ZQq/FDPx8socXVTzyE6xa9cpxqNAZTblvXPR32r+82TlwipIOOFgJTZsxIpdWlfV/Fns0rtJ5dWeWW7eeDmLVoeSbJUi5/9HlrgL1yQeRADoXMK1nkUJ3aNo8vvOi/JX7/tz//7MTJoVpujGIUuHOeM8yvLWgYgCLBrns2rQ0yrZboszE1itKwczbBXklvAyG8dSuUc35wJMgma1uRiBWTjhYCqmA2baj7vm+Dz4rM5LIbKthN7pajGC0S7LaVj4snbvz424qe07VP/r7LBdQXvoJdHSeZhx9gAKOc/K+KUXXCvRZ1wCXPFML8moSg2Ez1YTbdxmtaG6QaB90HtkBhKvrXdkW0MLyvg2iTa+KxCSjXu6orn275LE5iZnkQTKWFDfKGehZJLnzi3ZvaavMOcsG0+lFpYZs0XDlrxbviOZG/VaaP7GGm1ikrhcL0nRl7TpZm5co65V4Zbe7jiaoT7mqCCpcQrDnVz7WxHPDVInQ2S92kJQuIti3bS2hhGqg2jwwdbMkm5Hd1OSxDMtW77KYhJ46TJC4ZWd2JKYcGtPdMMd11sPWzoJGprXI57Zt6jMpKyEQYSgvdt205a8UBLB9bO/fuLhK2+641713ZYEr/2Lx1Rwk/Z52VaVKn2askjkM/GE1YeMWuoBOjKvOEaB5JvR50g0M3ackCom9Dd4EWpuzxAkmWqq4MU4NrVhZ9Vz3BKz+XBI9fvwqL193vTX8TX9gESe223iC7tIkONrhoryYHUfvddlLYpOmbaGHiT923bfUO3UBt+VOU03X/+m4suGa7tjy1bqZJzmW6qkh2pgmCqttQPQevwExqr2i5vnHYTRAD2JTlx/d9FS/xfi0tbOXYNifTQAg5G5109erb0F3w0xZL/iSbiiZaqHV8uefa9OEhmRZJeE70hS9C+kz0t4zahQswsncfqLMDA/NbM+ujTDZUp8/jzq5PJH7/33/1uXxD1RdTEJ5SLy3SMpst/rSP6eHJd+oPJwlaqIc3bIPZGJ89IPmEbiXUvHUH6g+PWN/j3t0lm5lioAthIoREaBA4H74w7YOYDr+kScgRaj93tTdEWxa06Nugj4nv0m5dgr0kUXfcZz6rLN2KVKyeuHd3VU6+k9osQ0RdRNQbZxO5g4ickbqIaBYR/TJ+53Yimu1TViP0kSFTwTOwmAkhS0F1APiEJjXZsQUtsnDTEwPMpy2m+vhobwuv2FVCA50gDA3Z6ssXuslNR7/BNSutJhvXaUi1HJfgc7U3RPsWtDDtRyX1EXdNML6nu33hMnPmCbLTwSnciWgmgO8B+DiANgB3A/hOfM+WPurbAB4GMBvAXQB+4FOhIRwbK1tiIHFYKRE8A4uZEDJY5AGgs9eGDAqZFllhxiP2GPFZpDEriaeyaSwIVlKh4KLF/vXdmYaKHXrVwqDn03hfhdIkS76QaRbSBvXZJLSXlQUdDXTjbjyCi71c4RTuzPwSgP/EzPdxZKC/BcCr49va9FFE1A7gjQC+wMzDzLwRwFIico6YfZ9eBCAS5jIDyX6xvoLe5QsfCptbncjkJEO3BFUHhc2VcwRh2Yp84BrA5UxjNndjj7P8/rVd2knRRYv2TT1BtnyTeUD0sSnWuY9w0fGCDaETwwhOJPJtF+/IZjcdzZII0BDa6+ruS4Osg4tFUSE58V81w8ssEwe1EXgTgD84XlkO4LE4F6DAgwCcHD//q1ESYFmYyweaBtesxFvnP1L0jnx/zn1TC7+/OOc2V3FeEHZk7t2ttUcLW6Ivg8vfsJ3krEGNVZMuR7Lg8Ubblu2lgvfOeajJaHvIJXSF8NDtLzx+/SqjcFEjNybZNPbtzxrUJPJtd9VJ8GW5ozNWXbz20RR/VQzvEUNElxDR1wB8DsBV0i1d+qjEKaOa0AqgWGCLA01ANHDk3+r9Z1cdwf3LpmDOfVOLTqne8Kd7SsqSbXom16zBNSux8IpdBaEQ4udtgu83Trz39VZNWnfPtXHn8rPOMvmxDWLCtLkaFjTIS54p8IUKUV+XfbbgTqoRLDqhqnvONhEnjY8vw3fVZKKFgIsWI616jdOHL52r5pT7W4CeJ+Q+ylqpmaiau7crJBF9EMDrAXQA+AQz30tE+wD8GsB6ANcCWM7MlxDRBwC8n5nfLL3/PQCPxiYa+bvrAKwDgPoZTZ3nH1qOejRhGNHhpBZMxQhGCnbGZrRiFKM4jij2fRNa8KdvLMXsT0YbVo1oRg1qMIjI97YBTahFbSEGdj0aUYf6Qh7KejSgHg0YwBEwGHWoRz0acQxHMYpR1KIODWjCcQxg8KIlqJlSh7bfPIkhHMMITqAGNWhCK4ZxHCcwDAKB3vp61P6yB8MYitswDS9ddh4abt3h3SYAeAkvoAmtZW3TC+8/D6fe9Cga0VLUpuYLOjH04IOFNrVgKoYxhGEMof+d52PuT/+EExgu6qcXrngFWm/ssbbpWOyjHdqmExjGDMzyatOL7zwPp/z0UTRdcCGOP7gLIziBwTe/ErNv31fUT60XrMDQgw/iyEWL0HD3I2jBtJI26fpp4MIzMOWBx4LadPLCJWh64KlCm2jxWajb86x3P53ESUzBFDSiBYewH/Vo1PKe3E+C9yrZTyG8J7fJNp5MbboPd6R2Q5w2dR6vWP7xxO9v+83nq9YVMtjPnYhegyiE5UIA8wA8wcyDcdqoZ+JrFwH4MDNfIr13E4BdqnCXYfJzX7HrZIm2Lq7tvXEZFl6xqyQAUtLARGlh8gk2+Rabgmzt2bwCsz78C8yk9sT+8z7Q+SXbIOidNVT6qG02+bn71N9Gv6yCebnKpM4OHFo6rdBG+TyCqX4m3rD5/JuClgnsX9+N/mUnsHjd/YVzASE8sO/arkxWr6GQ6SX+n4Wf+0QW7sGGTGa+F1Hi1ost6aMSp4x67m8Wl1xTBbt8TQgaIdiF3VAV7Ormatpdd9P7JkFh8riRB69si1+87n4Qovjt5RLsI6s7vQa13FZVsFNnR6bxygXUNgtaqPCpf8m3UsTf98HgmpUlZXLv7kIbR1Z3GtP+ifs2CFqoPDiyuhOL191vNcu0b+opCH+xtzFjT3GQPtv74yHYAeDE1OJw2NlByqpUhkxM4wkfV8gFcWYQ8bsOQDOAY5b0Ub8HsIiIpsXvTAGwDFHmbyvO+eLzRb9D7Wsm5ntw/5wie3TSGOzCHijeF/XLwid3wTXFqfRaYPf2kW2T5fRwUGmltjWpgAyh2ch7Ly78P0mC8qQuf6ZvyXWXg4MBkdC09YdML5u9v/aofkJrwVT0r+0qtEOUJd4L9XNXN7DF+5kH6ILHxGWgm4+nVVJM5kNM8wHcSkRnEVEtgGsAPI1or1ibPip2n/wFgOvidz4LYA8AZ/YMYVcDSjUcX+hCvs6+7DHnQRKfQSEGghjcon5pkwuokwZQTAuglPHTZDhKsimlJnvev15/QtIXrX3D3s82/fjewv/VCdzn0JTJVOaCThipaQkPLZ1WkgLRly4m/qbODqOiMowhtG3ZruWZtFAnqaxxdG69ddI4MT1KRJLlmQUnJqvmzsy/BXADImF9EEA3gLfa0kfF+BAiu3w/Ip/3y9nDwC8LNJdGePmjz2uv62zCIVmZbFCjAKbRbuR3dQNJFe7qIE5Tts+kqQ4w0+GkpAjR+FVayLDVy6ZBt23Z7hTwPnVs27K9aMLLAgPzzR4xgha+wlfnAdW3obts6fh0NBVltW3ZXgg0BpSe8yisWirlLskAjSb/q2b4+rn/hJmXxgeVLmXmJ+Lr2vRR8b1DzPwWZm5l5ouZ+emkldS5MQKRnV21pQsXSlXwy0ku5tw31TgItYNdcu9SBZpPujUd9l3bVTI4fZNMiLon0axCXB3VAWbSplxaVhIzSlKo/eoyKelWXKb6+sTDcU14vrSQ+zYt/dR9iT2bV2Duxh4n/yTdl9LR1LTKDMnYlSMMVRUVsvmc03n2p/4LFq9/fLyrkthDJcvIhP1vWYq22x5xP4jk9a00ktZziI+jgRrdD2YEXT2ziriZ1kNHpoWLnqb7qodMSL+Ml8eMiky8ZVrn8soLkueh/nXPNRPHW6acqH18CHM+9oD23opdJzM5IOGLpIJSFey6FYKvJjYyPOh+KEYlBLvQ5GRNPdQMIeppo4FuJXACw84VUuixf9v3dPSUXRdV6FZEpu+nNTmcwNhehavfTfdVbT6Ef4Rg91kF6vgjjadaWWzxkzVwWKUhDluoOKvhQEkAsILpRRH6ppgyttN1qvdDVtBper5aT82v9c5FofVT06Yl9ewRAkAWTqJ9rglLta0uuMZs79YJv2Ecd66IdMf+VWEglylvjqt10U1gtuP5OpdMdfNdxv713d4mMvU50xgpJ+SJSvSljxvqCc1QDJlIVL4qy5mEyX5CtRLIKlnHns0rUDMwxWjPMx0OMS2X+zZ0Y96vDxe5nqXVlE1LW/nb8mGV0AQLOvgcVsminHLAJ1nHeEH0mY12WZrrktCiWvs1DbIyy6x6xUcTv/9v930hN8v4wuXb7YPF6+5H0/PFTZM3K42Jhw1agepjq/q4u6DT3Ezau1yOoAV1dmQyMGXBbqq7rRyXppl0ReCzEjHxRVJ3Rp97PpD9zW20CxHsLvNTkjHiyz+2suV7Pk4EaT2HvOIOZYHJ6gpZaYzAku1HMr+4AhipGqrpyPzgmpWFkL2+EExrs8HKSCqYBS1kga8TRj4CSq2jzlxkG4zU2eHU+pO2U5cEQu0PE1/4lGlbyutiivvwgi33aRK43GJlyLSgzo5MA2nZypbv+UxWps1nmV9t5jxbGZntMTHyqJCVwMjZDfZEBJLNPau4Mc1bd4B7dztTyMlQmdbEaGm1Cx0tdIKq7rDZBhuSvs3mCVK204HK6U5RjjqwVVqYfLdN9wRsE6E4QKOWrfueOtGlOXNAnR1Bmr1MC+7djdbnisMHyG3U8aBtMijHqVQVgof713ahbc/Y9VAlKwsQktvbq93mXlXCvfZx80EVEwq+xyk9acqxUeMjEG3JOnzxzKXTjRuHlfSiSQLu3Z2ojnM39mBwzcoiQSUErm2FIfezSjMdD/jG30ljT9e1P402XrutN3FsdrUdct9mHQ5aPvwFSHkRlNy2ZU+3l5tlKoMXP/0XQc8XQgpc8oz3IaC00DG5vLwMGZim+CFAFI7VB3M3lmYhquTmmSxATMvstANUR4vmrTtS+Z37TOi123orFuNehtouUYf967tLaCELZEHnED90G7/KfZtFzHofqLlt27Zsr2w4ggmCqhPuc7+6s+SaSWirdvcsQtGqTKRjKjWKHlA8mE7dcdi7PNMg7NvQjVEPo55NaPoK1CwHjqk9tsnGVc89m1c4aaEKqCxPxeqEWpLJKo3JQdShfVOPlRY+glCdOHQTZBKeSDqBi77TrQBtSVYyQ665VwYiaYAMm9AWZg0ROyat9l67rdcZEta1BA9dCpsGvY4WKmxC01d7H8+0Zz6eQIvX3Y/jGLQKHFVA+Wqug2tWFgklUYYrGJmrzjpB5crbaoJa9sE3nmV9PmmQNNs3TDyahcmkfVOPkQZlX4FWYEOViC4lokeJ6CgR/ViJpls2VJ1wn7Wp2fvZ2Zc9VnBrFLFjTBNBSOAwVTj7xBTRwVf7EQkTZIQsgUPs9mk3rOTJU2jHaVwNQ4KhlWMSat66o0iAiDLSBkmzTfCugGwq1LJb7zA/b1JubP73PhATk8prcgA9uYzQlVPSvZcsUM4NVSKaBeCrAN4MYC6AWgDf1Dx3JhEdI6J+6e/aNO2qOuE+0Ha69b6sKZhOogKlJhs5cFgoXKGCdQJs37Vd1rjdKvPrhLlIeeZCSPCltAdpRo7Wjf2/ldG/dqydugEdKpBN9RO08NVy025Ul9NrQ6ZJknJUvpDHhI9pUu4nV4AyF71F2Wq/pY09k6kfuwvlNcu8BcA/MPNTzHwYUUrR92m0d0J0qLRN+rsmTbOqTrjjCn0YXwFZO3h2VZTHUTeQfV0lTYMrxOYoBqusfYvEG+I7Sc0GMtL6MyexQ6uDTEx01NmBs6+6r6g/TG3KUlD6arnyhGcSFDYBEjIJyt8JtVXL4W+TQqeV23hFTQojX5ehyyilKhI+KwIbnU0xeUS5lXaNLANuAbBV/GDmAwBeBHBmuQuekOEHyg1XVD/q7MALK6ejfVNPqgiApmPmtQsXlHgU+NYtC0yZMQMnDx3K7Hv9a7vQ2jdsrXcW4Qd0UR1ttEwKUx9kFbkzDS10YRAqwTNZQoRSyCL8wPTm07nr7A8mfv9XD/9tUB2IqA3AfgCnM/OL0vUFiBIa3QbgtQB+AuDjzOyf0UZB9WnuCtJoqzazjS9krUNNZyag+uVy7+7CJlGSQWPTdPav77YKI1FeEm3VF7JgT7KhpouprtKpHPXXeoVkJNhljV20RdU60wh2n4iYLoys7tSuSEwTURawfcdnlaPjr0w3WRlpzTKziGin9LfOUeInAWyRBbuEOgA/BTAPwGIAG9I0raqE+9BZTWhE8YZq+6aexH7GwmwjI5RpxYAcWd1pTGRsEhBJB7N4T6UF4B/ywFR20jqZhIdroOne8xmcaj0FLcqx6aYTMrZJyzeNnxCkPjznekYWyjq+8DEj+SoaOnOManqizo4iGpn4Q9df4tmjc+uddanIeY103jIHmXm59LfZVAwRXQTg7YgEvIpnAVzIzP/EzMcAbAbwn9M0q6qEe8OTx1CjqVKWhydccVpM0B3xD9XK5QHgU7ZKC/l93aDx3fwywTaJJt2I1b2XRNvX8YUJqvBVV1YqRD/KfWITKj6eM7qQCjaETFoyLcqhYev6TK5f7bZecO/uIhr58odsFkoquF+OdngiugDA3wN4u5yxToCZh5n599KlgwDmpCmzqoQ7AAzCvMGU1CXRhBDhLDN30pWEnJLPVfbgmpUltEjjXz+yuhNtW7ZbzVw+h3V0gnlkdSf613Z5DzpbvlGTsFJpoXtX1K3+SPE+ksv0IvrTFqMnFOV06xvEUa/k2CotR1Z3lmx0pt2kD91AziLscdaJu8sdW4aI5gH4LoD3MfN+wzOnKpfmA3gyTbuqTrjja7ONt658dbb5FgXzh2o/aVYSOsbUCcWsGVhMJrLW6RLGuoGv07Zqt/Wibcv24DrrNGBfoagmwd6/vrtQN13yclNbB9esLMSpsZkibPB9bmR1p9VF07Si0V1XaS2im8rg3t0lB/LUXKaCjkknI9ceTxJU1A0SKKsrJBG1AvgBgA8y8z7Lo/+diK4joqZ4c/XTAL6eplnVJdwX16Hhr8ya+/3LphT+7wr56wPB0ON1eEJoPfKAq124YCyS4xvKu/x0CeP2TT1eS2efwZjW7/yFq4vflwWeLKRkNG/dUaibqa3iussUYYOIJglYVh5rVqJ2W6/1TMLwVH2cobYt24tWiw1oKnlGRDdV4WpDEhOZ3JdiNaArJ2kICFedM40zwwBGOfmfG+8C8BoA98YnVMXfCiK6jYiujJ/7XwCmAngawL8D+DYzfydN06rOFXIZutF3U1cmcWKqGT7Jlof4GBqodCBnCZ/sTNUAQQudO+HLJTl4VkjKF1nQSeXbkdWdGJ5em/lK0weZuEI2nsbd8z+Q+P3b//iViZmJiYhmEdEviegwEd1ORLOle01E9AMiOkRE24nobJ9vDuBIVQr2JEtFXUJpAZ9NuQGUevuElK3WWaellUuw68pyaYm2+4IWusQeNoE1Hptvvgd4QiB/JylfhAr2/rVdziQvqqlHoMg11LKhPR4RNycLgoQ7EV0exz94fXzp2wAeBjAbwF2IbEsCX4q/fzqAbwD4GRFNwcsIMoPKqfVsy0Kdl4S6eZpFxELXZpguVkfWbmW2gakry1W+b/3ExrqPsHIJnnILf11KxiQCfzxWJm1btqe2xQNjG9oVt6X7YrJHhSSiJgAfAvBU/LsdwBsBfCF249kIYCkRLYyF+IcAfIaZjzPzTQAOAXidq5x6NGqvX/3EQ1o7u2z/yzqeu86jpX1Taex0AZ0vvAwhSHxDD9Sj0ShATXbmtAixjYdq/b5amm7ylPlCjvVjm2hNglvuvzTmhMI5B6UO8jeFQJP7KsTDBSjd2DaNkaxQkuIwAY110LVb5SGdwqIrP9NJebILdwCfAfAL6fdyAI8xs5w+6UEAnQCWALLx9TgAAAbjSURBVDjBzH3SvV3xPSvqoD/YcN2iV2rjxcgbVFNbLSn6UsJH63C5Nx5a7LdwEWXVoR6n3h+enUqFj5lAXA8JQmYqy1SG72Sg0nHvjcuMfCGgmzhcglsnIEK0S1FPW7+Hbmhy724MrllZJNDUSdxFCx+ExNWxta95645CXYVgdm142srWKSxJwm57o/wbquMGrw3V2E9zG4ALAPwewEcR+WGuZeY3SM9tAbAzfua7zHyOdO9aAK3MfJXy7XWIIqUB0aTwIiIH/hzALOS0EMhpMYacFhHOBPDXtlOhLkxvOJW751zpftCA2/ddX7UbqrWez30FwN8x8zGigrsWAVBTEp0E0Oi4V4S4YwqdQ0Q7q5VYlUZOizHktBhDTosxENFOSPIjxxicwp2IugAsBfCXyq0hRIFuZDR43MuRI0eO6kGV286TwkdzfwciE8yzsdY+C1E4yhdQmmiqHcBLAA4AUI/TtgOwB2vPkSNHjkpC2NwnIJwbqsz8eWaeycynMfNpAJ7B2KmrRUQ0DQBiD5llAH6HKCbCMBGdJ31qeXzPhXyJNYacFmPIaTGGnBZjSE+L3FumGMz8EiLvmeuIqBbAZxEFm3+ImUcB/FN8ryE+YjsNwB0e380ZN0ZOizHktBhDTosx5LQwI21smQ8BWAigH5HP++U85n7zeQBHEe3qfwrAZXGc4hw5cuSoHkxQzd3XW6YAZl4g/f8QogSwuueGULoJmyNHjhxVhOoX0klRNVEhbXFqJiqI6P1EtEr6nXmsnpcDiOhSIno0jpb3Y5EZnogWEdHdMT1ujk9Ji3cmJL8QURcR9cbtuiM+YzJpeUNF5nRgAKOjyf+qGFUj3GGPUzOhQES1RPQulG4GTehYPToQ0SwAXwXwZgBzEa0mv0mRa9bNAH6IyNPqIIrjW084fiGimQC+B+DjANoA3A1AhH2ddLwBVCie1QQ1y1RFyN84Ts0TAGaJcAZE9DSA1zHz3nGtXBkQn+RdAuA8AG9g5vtsNEAUz+clAEtFSAciugdRXJ9t49GGrEBEawE0MvMN8e/ZiPJJXgrgO+KUMxG1xNdPQxT3ekLyCxEtY+Zd8f+XArgHwLmYnLzRBOBniFyxPwrgEWRMh+l17dx9ynsS1/H2F/6xak+oVovmbotTM+HAzGuZ+dWIQi0IlCVWz8sAtwDYKn4w8wFEdLkAUfvF9QFEiQzOxwTmFyHYY7wJwB8weXmjIvGsJqrmHryhWibMQhQ1UsYhpEwQ+zKDjQYvWO69rMHMgwAGxW8iagMwE8AMmNs83XLvZQ8iugTA2wBcCeCtADowyXgj3mv4S0ST/Mfiy2UYI9UfACwpqkW4e8eimcDIJFbPBMAnAWyJ/z9Z6bEAkU25D+72TlRalC2eVREYiI7lTDxUi1kmj0WTx+oBEV0E4O2IBPykpQczf5eZ1wL4BICfAxjGJKKFFM/q+8qtScsTSVAtmvsBRBtlMkScmskCGw0mfKweIroAwN8DeDszDxDRAQAXKY8JeoxiEvALM99LRCcRCffJxBuVjWc1Qc0y1aK5/x7mODWTBTYapInVU/WI7avfBfA+Zt4fX+4FcGHsEgkiOgXRgBf5AiYcvxDRAiKqk37XAWiOf04a3qh4PKsJuqFaFcLdFqdmXCtWQZQrVk+1g4haEfkqf5CZ94nrsddIH4DPxELuSwBuYeZDE5hf5gO4lYjOitt1DSIPoX/FJOQNFWUZI8z5IaYKwBanZkKBiL5FREcRDeZtRCSy6kzGWD1CI7s3PqEq/lYAeA+AdyJadp+KMa8JYALyCzP/FsANiATYQQDdAN7KzMOYnLyhQ/Z0mKCae1UcYsqRI0eO8cD0KbO4q+Udid//1ZHvVe0hpmrZUM2RI0eOcQFXuXklKXLhniNHjkmM6jevJEUu3HPkyDF5MYHT7OXCPUeOHJMb+QnVHDly5MgRCt/cA1nnKMiFe44cOSYtGACPcuI/T/jmHsg0R0HuCpkjR45Ji2k0k1fVvjHx+/828kOrK6Rvropy5LTINfccOXJMapRZc/fNPZB5joJcuOfIkSNH+eCbqyLznBa5t0yOHDkmLY7g0K9+PfqjWSk+0UhEO6Xfm5lZzo3sG2c+87j8uXDPkSPHpAUzv7nMRfjGmc88Hn1ulsmRI0eO8sE3V0XmOS1y4Z4jR44c5YNv7oHMcxTkwj1Hjhw5ygTf3APlyFGQC/ccOXLkKC+0MeiJ6PNE9C3Xc0kLzQ8x5ciRI8cERK6558iRI8cERC7cc+TIkWMCIhfuOXLkyDEBkQv3HDly5JiAyIV7jhw5ckxA5MI9R44cOSYgcuGeI0eOHBMQuXDPkSNHjgmIXLjnyJEjxwTE/wcrUcc4fyWOowAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Weight matrix after learning\n",
    "exp.net.plot.trainedExWeightMatrix()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.336875 0.753125 0.61875 0.4\n"
     ]
    }
   ],
   "source": [
    "size = exp.p.inputNumTargetNeurons\n",
    "\n",
    "input_regions = exp.net.trainedWeightsExex[-1].toarray()[:2*size,:2*size]\n",
    "\n",
    "inp_lt = input_regions[:size,:size]\n",
    "inp_rt = input_regions[size:,:size]\n",
    "inp_lb = input_regions[:size,size:]\n",
    "inp_rb = input_regions[size:,size:]\n",
    "\n",
    "print(np.mean(inp_lt), np.mean(inp_rt), np.mean(inp_lb), np.mean(inp_rb))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Sorted weight matrix after learning\n",
    "expSupportMask = utils.getSupportWeightsMask(exp.net.trainedWeightsExex[-1])\n",
    "exp.net.plot.weightsSortedBySupport(expSupportMask, exp.net.trainedWeightsExex[-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "nCs = exp.net.p.inputNumTargetNeurons\n",
    "nEx = exp.net.p.reservoirExSize\n",
    "nC = exp.net.p.inputAlternatingNum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(40, 400, 1)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nCs, nEx, nC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "#weightsExEx = exp.net.trainedWeightsExex[-1]\n",
    "#np.save('weightsExEx', weightsExEx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "inputs = utils.getInputLetterList(exp.net.inputTrials)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(21, 2, 360)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "supportMasks = utils.getSupportMasksForAllTrials(exp.net.initialWeights.exex, exp.net.trainedWeightsExex)\n",
    "supportMasks.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(360,)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.array(supportMasks)[0][1].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "supportShare = np.array([ np.sum(supportMasks[i], axis=1) for i in range(exp.p.trials+1)]).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f53ade2c3c8>]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cluster_mean = []\n",
    "all_mean = []\n",
    "\n",
    "cluster_mean.append(np.mean(exp.net.initialWeights.exex[:40,:40]))\n",
    "all_mean.append(np.mean(exp.net.initialWeights.exex))\n",
    "\n",
    "for i in range(exp.p.trials):\n",
    "    cluster_mean.append(np.mean(exp.net.trainedWeightsExex[i][:40,:40]))\n",
    "    all_mean.append(np.mean(exp.net.trainedWeightsExex[i]))\n",
    "\n",
    "cluster_mean = np.array(cluster_mean)\n",
    "all_mean = np.array(all_mean)\n",
    "\n",
    "x = cluster_mean/all_mean\n",
    "plt.plot(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "exp.net.plot.supportShare(supportMasks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "exp.net.plot.supportTurnover(supportMasks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# New parameters\n",
    "newParameters = {\n",
    "    **parameters,\n",
    "    'trials': 2*exp.p.trials,\n",
    "    'inputAlternatingNum': 2\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initilizes a second experiment\n",
    "exp2 = AssemblyExperiment(name='assemblies-2', parameters=newParameters)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get weights from previous experiment\n",
    "weights = deepcopy(exp.net.initialWeights)\n",
    "weights.exex = exp.net.trainedWeightsExex[-1]\n",
    "\n",
    "# Build experiment\n",
    "exp2.build()\n",
    "exp2.net.initialMasks = exp.net.initialMasks\n",
    "exp2.net.initialWeights = weights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mWARNING\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mDRV\u001b[0m\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;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m\u001b[0m:  Connecting to 127.0.0.1:35933\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m\u001b[0m:      Host server up..............Done 0.19s\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m\u001b[0m:      Encoding axons/synapses.....Done 0.28s\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mWARNING\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m\u001b[0m:  \u001b[33m~/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages ~/pelenet\n",
      "Compiling in directory : /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667\n",
      "Include dir is : /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/graph/nxinputgen/../../snips/ -I/home/seq/pelenet/pelenet/snips/\n",
      "Compiling -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/initnetwork_0_0.c\n",
      "gcc -Wall -I/home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/graph/nxinputgen/../../snips/ -I/home/seq/pelenet/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/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/initnetwork_0_0.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/initnetwork_0_0.c\n",
      "Compiling without -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/0_spiking_packed.c\n",
      "gcc -Wall -I/home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/graph/nxinputgen/../../snips/ -I/home/seq/pelenet/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/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/0_spiking_packed.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/0_spiking_packed.c\n",
      "Compiling without -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/1_reset_init.c\n",
      "gcc -Wall -I/home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/graph/nxinputgen/../../snips/ -I/home/seq/pelenet/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/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/1_reset_init.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/1_reset_init.c\n",
      "Compiling without -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/2_reset.c\n",
      "gcc -Wall -I/home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/graph/nxinputgen/../../snips/ -I/home/seq/pelenet/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/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/2_reset.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/2_reset.c\n",
      "/home/seq/pelenet/pelenet/snips//reset.c: In function ‘reset’:\n",
      "/home/seq/pelenet/pelenet/snips//reset.c:51:9: 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/pelenet/pelenet/snips//reset.c:79:13: 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/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/main_0_0.c\n",
      "gcc -Wall -I/home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/graph/nxinputgen/../../snips/ -I/home/seq/pelenet/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/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/main_0_0.c.o -c /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/main_0_0.c\n",
      "OBJFILES :  /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/initnetwork_0_0.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/0_spiking_packed.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/1_reset_init.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/2_reset.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/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/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/initnetwork_0_0.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/0_spiking_packed.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/1_reset_init.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/2_reset.c.o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/main_0_0.c.o -o /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/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;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m\u001b[0m:      Compiling Embedded snips....Done 0.19s\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m\u001b[0m:      Booting up..................Done 0.92s\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m\u001b[0m:      Encoding probes.............Done 0.02s\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m\u001b[0m:      Transferring probes.........Done 0.09s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m\u001b[0m:      Configuring registers.......Done 0.48s\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m\u001b[0m:      Transferring spikes.........Done 1.12s\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  Using Kapoho Bay serial number 308\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  Args chip=0 cpu=0 /home/seq/.local/share/virtualenvs/seq-r0_WvjRo/lib/python3.6/site-packages/nxsdk/driver/compilers/../../../temp/1634421490.5254667/launcher_chip0_lmt0.bin --chips=1 --remote-relay=0 --epoch=4 \n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  Lakemont_driver...\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Transfered values 20, 70, 10 \n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 1 to 10\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 10\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 71 to 80\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 80\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 141 to 150\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 150\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 211 to 220\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 220\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 281 to 290\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 290\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 351 to 360\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 360\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 421 to 430\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 430\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 491 to 500\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 500\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 561 to 570\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 570\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 631 to 640\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 640\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 701 to 710\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 710\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 771 to 780\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 780\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 841 to 850\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 850\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 911 to 920\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 920\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 981 to 990\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 990\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 1051 to 1060\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 1060\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 1121 to 1130\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 1130\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 1191 to 1200\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 1200\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 1261 to 1270\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 1270\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 1331 to 1340\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 1340\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 1401 to 1410\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 1410\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 1471 to 1480\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 1480\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 1541 to 1550\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 1550\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 1611 to 1620\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 1620\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 1681 to 1690\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 1690\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 1751 to 1760\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 1760\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 1821 to 1830\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 1830\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 1891 to 1900\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 1900\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 1961 to 1970\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 1970\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 2031 to 2040\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 2040\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 2101 to 2110\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 2110\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 2171 to 2180\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 2180\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 2241 to 2250\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 2250\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 2311 to 2320\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 2320\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 2381 to 2390\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 2390\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 2451 to 2460\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 2460\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 2521 to 2530\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 2530\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 2591 to 2600\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 2600\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 2661 to 2670\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 2670\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset current/voltage from time step 2731 to 2740\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 Reset functional state at 2740\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m\u001b[0m:      Executing...................Done 68.11s\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m\u001b[0m:      Processing timeseries.......Done 2.51s\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mDRV\u001b[0m\u001b[0m\u001b[0m:  Executor: 2800 timesteps........Done 72.36s\n",
      "\u001b[1;30m\u001b[1;30m\u001b[1;30mINFO\u001b[0m\u001b[0m\u001b[0m:\u001b[34m\u001b[34m\u001b[34mHST\u001b[0m\u001b[0m\u001b[0m:  chip=0 cpu=0 halted, status=0x0\n"
     ]
    }
   ],
   "source": [
    "# Run network\n",
    "exp2.run()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "exp2.net.plot.reservoirSpikeTrain(figsize=(12,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "exp2.net.plot.reservoirRates(figsize=(10,3), fr=0, to=370)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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": [
    "wgt = exp2.net.trainedWeightsExex[-1].toarray().flatten()\n",
    "nz = np.array(np.nonzero(wgt)[0])\n",
    "\n",
    "plt.hist(wgt[nz], bins=np.arange(np.max(wgt[nz])))\n",
    "plt.xlim((0,100))\n",
    "pl = plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Weight matrix after learning\n",
    "exp2.net.plot.trainedExWeightMatrix()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.91875 0.505 0.77 1.655625\n"
     ]
    }
   ],
   "source": [
    "size = exp2.p.inputNumTargetNeurons\n",
    "\n",
    "input_regions = exp2.net.trainedWeightsExex[-1].toarray()[:2*size,:2*size]\n",
    "\n",
    "inp_lt = input_regions[:size,:size]\n",
    "inp_rt = input_regions[size:,:size]\n",
    "inp_lb = input_regions[:size,size:]\n",
    "inp_rb = input_regions[size:,size:]\n",
    "\n",
    "print(np.mean(inp_lt), np.mean(inp_rt), np.mean(inp_lb), np.mean(inp_rb))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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": [
    "cluster1_mean = []\n",
    "cluster2_mean = []\n",
    "all_mean = []\n",
    "\n",
    "cluster1_mean.append(np.mean(exp.net.initialWeights.exex[:size,:size]))\n",
    "cluster2_mean.append(np.mean(exp.net.initialWeights.exex[size:2*size,size:2*size]))\n",
    "all_mean.append(np.mean(exp.net.initialWeights.exex))\n",
    "\n",
    "for i in range(exp.p.trials):\n",
    "    cluster1_mean.append(np.mean(exp2.net.trainedWeightsExex[i][:size,:size]))\n",
    "    cluster2_mean.append(np.mean(exp2.net.trainedWeightsExex[i][size:2*size,size:2*size]))\n",
    "    all_mean.append(np.mean(exp2.net.trainedWeightsExex[i]))\n",
    "\n",
    "cluster1_mean = np.array(cluster1_mean)\n",
    "cluster2_mean = np.array(cluster2_mean)\n",
    "all_mean = np.array(all_mean)\n",
    "\n",
    "c1 = cluster1_mean/all_mean\n",
    "c2 = cluster2_mean/all_mean\n",
    "plt.plot(c1, label='A')\n",
    "plt.plot(c2, label='B')\n",
    "plt.legend()\n",
    "pl = plt.show()"
   ]
  }
 ],
 "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": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}