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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",

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import matplotlib
matplotlib.use('TkAgg')
import pylab
import numpy as np

n = 100 # size of space: n * n
global p, r # probability of initially panicky individuals
p = 0.1
r = 1

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import matplotlib
matplotlib.use('TkAgg')

import pylab as PL
import random as RD
import scipy as SP
import numpy as NP

RD.seed()

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# Simple CA simulator in Python
#
# *** Hosts & Pathogens ***
#
# Copyright 2008-2012 Hiroki Sayama
# sayama@binghamton.edu

# Modified to run with Python 3

import matplotlib

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import heapq
from urllib.request import urlopen
import shutil
import gzip
import os
from collections import defaultdict
from bitarray import bitarray
import pickle