def quit(t):
sayit(t)
sys.exit()
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Play Connect-4')
parser.add_argument('--printit',required=False,action='store_true')
parser.add_argument('--debug',required=False,action='store_true')
parser.add_argument('--moves',required=False)
parser.add_argument('--autopilot',required=False)
parser.add_argument('--datadir',required=True)
parser.add_argument('--blondiebrain',required=True,help='Provide file name of the blondie neural network to load. Enter "latest" to load the latest.')
args = vars(parser.parse_args())
if args['blondiebrain'] == 'latest':
blondiefile = latestblondies(args['datadir'],1)[0]
else:
blondiefile = args['blondiebrain']
sayit("Loading Blondie : %s"%(blondiefile,))
blondie = BlondieBrain(paramfile=blondiefile,datadir=args['datadir'],outsize=7)
if args['autopilot']:
autopilotn = int(args['autopilot'])
else:
autopilotn = 0
if args['debug']:
DEBUG = args['debug']
#if moves are supplied, play them
if args['moves']:
def main(loadfromdisk=False):
popsize = int(CONFIG['popsize'])
keepratio = float(CONFIG['keepratio'])
randratio = float(CONFIG['randratio'])
maxgen = int(CONFIG['maxgen'])
outsize = int(CONFIG['outsize'])
if loadfromdisk:
lastn = int(popsize*keepratio)
blondiefiles = latestblondies(CONFIG['datadir'],lastn)
print "Loading files:"
pp(blondiefiles)
print
pop = []
for bf in blondiefiles:
pop.append(BlondieBrain(datadir=CONFIG['datadir'],paramfile=bf,outsize=outsize))
if len(pop) < popsize:
for i in range(popsize-len(pop)):
bb = BlondieBrain(datadir=CONFIG['datadir'],outsize=outsize)
bb.mutate()
pop.append(bb)
try:
last = blondiefiles[-1]
gentxt = re.search('blondie-(.*)-gen(.*).xml',last).group(2)
print "Loaded Generation",gentxt
gen = int(gentxt) + 1
except IndexError:
gen = 0
except AttributeError:
gen = 0
else:
gen = 0
pop = [BlondieBrain(CONFIG['datadir'],outsize=outsize) for _ in range(popsize)]
while gen < maxgen:
print "Generation : %s"%(gen,)
r = [0]*popsize
for i in range(popsize):
for j in range(popsize):
if i == j: continue
score = rungame(pop[i],pop[j])
r[i] += score[0]
r[j] += score[1]
#write best to disk
win = r.index(max(r))
print "%03d won gen %05d with %d points"%(win,gen,max(r))
best = pop[win]
if gen%int(CONFIG['gen_per_save']) == 0:
best.save('-bestof-gen%05d'%(gen,))
print "Wrote to disk (%s)"%(CONFIG['datadir'],)
#rerun prev best and current best
#to show in output
if win == 0:
vmsg = "* Defending champion retains the title! *"
print "*"*len(vmsg)
print vmsg
print "*"*len(vmsg)
msg = "Game with defending champion playing %s and current champion playing %s"
print msg%(0,1)
sc0,sc1 = rungame(pop[0],pop[win],show=True)
#print "Scores:",sc0,sc1
print msg%(1,0)
sc1,sc0 = rungame(pop[win],pop[0],show=True)
#print "Scores:",sc1,sc0
print
#keep top best for next gen
bestn = heapq.nlargest(int(popsize*keepratio),r)
newpop = []
for x in bestn:
#print "copying %02d to next gen as %d"%(r.index(x),len(newpop))
newpop.append(pop[r.index(x)].copy())
#throw in some wildcards
for x in range(int(popsize*randratio)):
t = best.copy()
t.randomize()
newpop.append(t)
#mutate best to fill rest of the spots
spotsleft = popsize - len(newpop)
for n in range(spotsleft):
t = best.copy()
t.mutate()
newpop.append(t)
pop = newpop
gen += 1
