from arn import *

import numpy as np

def getmoore(x, y):

return [(x,y+1), (x+1, y+1), (x+1,y), (x+1, y-1),

(x,y-1), (x-1, y-1), (x-1,y), (x-1, y+1)]

def getvonneumann(x, y):

return [(x,y+1), (x+1,y),

(x,y-1), (x-1,y)]

_CELLSIZE = 5

_INTENSITY = 2

_COEFFICIENT = .2

if __name__ == '__main__':

arnconfigfile = '../configfiles/arnsim.cfg'

log.setLevel(logging.DEBUG)

cfg = ConfigParser.ConfigParser()

cfg.readfp(open(arnconfigfile))

proteins=[]

nump = 0

try:

f = open(sys.argv[1], 'r')

genome = BitStream(bin=f.readline())

arnet = ARNetwork(genome, cfg)

except:

while nump < 3:

genome = BitStream(float=random.random(), length=32)

for i in range(cfg.getint('default','initdm')):

genome = dm_event(genome,

.02)

arnet = ARNetwork(genome, cfg)

nump = len(arnet.promlist)

f = open('genome.save','w')

f.write(genome.bin)

f.close

for p in arnet.proteins: print p

c = Cell(arnet,_CELLSIZE)

# for x in range(_CELLSIZE):

# for y in range(_CELLSIZE):

# for k in arnet.promlist:

# print [c.proteins[k][e[0]][e[1]]

# for e in getneighbors(x,y)+[(x,y)]

# if 0 < e[0] < c.cellsize and

# 0 < e[1] < c.cellsize]

cchistory=nparray(c.ccs)

for i in range(2):

c.stepsimulate()

cchistory = np.column_stack((cchistory,c.ccs))

displayARNresults(arnet.proteins, cchistory)

#c.diffuseproteins(_COEFFICIENT,_INTENSITY)

#for k,v in c.proteins.items():

# print k, v