def _create_offspring( breeders ):
stock = breeders[:]
kids = []
random.shuffle( stock )
print "Making babies"
i = 0
while i < len(stock) - 1:
parents = stock[i], stock[i+1]
print " Parents %s and %s" % ( parents[0].identifier, parents[1].identifier )
for k in range(4):
mom = parents[ k % 2 ]
dad = parents[ (k + 1) % 2 ]
kid = copy.deepcopy(mom)
kid.age = 0
kid.game_activations = 0
kid.total_activations = 0
kid.identifier = ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(10))
kid.strength = (mom.strength + dad.strength ) / 2
kid.specifity = 0
mutation_chance = random.random()
for j,cond in enumerate(kid.conditions):
if ( j < len ( dad.conditions ) ):
division1 = random.randrange( 1, len(Message.game_msg_def) )
division2 = random.randrange( 1, len(Message.game_msg_def) )
l = 0
while ( l < len( Message.game_msg_def ) ):
if ( l > division1 and l < division1 + division2 ):
cond[l] = dad.conditions[j][l]
if ( cond[l] != None ):
kid.specifity += 6 - len( cond[l] )
l += 1
# Chance of mutation
if ( mutation_chance < 0.01 / len(kid.conditions) + j * 0.02 / len(kid.conditions)
and mutation_chance > 0.02 / len(kid.conditions) * j ):
index = random.randrange( len( Message.game_msg_def ) )
if ( cond[index] == None ):
cond[index] = random.sample(xrange(6),5)
cond[index].sort()
kid.specifity += 1
elif ( len(cond[index]) == 1 ):
choices = [ x for x in range(6) if not x in cond[index] ]
cond[index].append( random.choice( choices ) )
cond[index].sort()
kid.specifity -= 1
else:
if ( random.random() > 0.5 ):
del cond[index][random.randrange(len(cond[index]))]
kid.specifity += 1
else:
choices = [ x for x in range(6) if not x in cond[index] ]
if ( choices ):
cond[index].append( random.choice( choices ) )
cond[index].sort()
else:
cond[index] = None
kid.specifity -= 1
elif ( mutation_chance < 0.02 / len(kid.conditions) + j * 0.02 / len(kid.conditions)
and mutation_chance > 0.02 / len(kid.conditions) * j ):
index = random.randrange( len( Message.game_msg_def ) )
swap_index = index
while ( index == swap_index ):
swap_index = random.randrange( len( Message.game_msg_def ) )
tmp = cond[index]
cond[index] = cond[swap_index]
cond[swap_index] = tmp
# Chance of mutation of output
if ( mutation_chance < 0.04 and mutation_chance > 0.02 ):
msg, act = kid.output
if ( mutation_chance < 0.03 and mutation_chance > 0.02 ):
if ( random.random() < 0.1 ):
msg = Message()
msg.classifier_message()
else:
msg = None
elif ( mutation_chance < 0.04 and mutation_chance > 0.02 ):
act = random.choice(['Heal','Mine','Attack','Wait'])
kid.output = msg, act
print " %s and %s Made %s." % (mom.identifier, dad.identifier, kid.identifier )
#print kid
kids.append( kid )
i += 2
return kids
def _create_classifier(self, message = None):
"""Create a new classifier that optionally matches a message"""
c = Classifier()
min_specifity = 10
total_str = 0
if self.classifiers:
for classify in self.classifiers:
total_str += classify.strength
average_str = total_str / len(self.classifiers)
c.strength = average_str
else:
c.strength = 100
# Set condition(s)
elements = range(len(Message.game_msg_index))
random.shuffle(elements)
elements_specifity = [ random.randint(1,5) for x in xrange(len(Message.game_msg_index))]
c.specifity = 0
# Create the condition
for i,value in enumerate(elements):
c.specifity += 6 - elements_specifity[i]
c.conditions[0][value] = \
random.sample(xrange(0,5),elements_specifity[i] )
# Ensure message's value is in the condition
if ( message != None ):
if ( message.status[value] not in c.conditions[0][value] ):
c.conditions[0][value][0] = message.status[value]
c.conditions[0][value].sort()
# Stop adding to the condition sometime after you have > min_specifity
if ( c.specifity > min_specifity ):
if ( random.random() < float(i) / float(len(Message.game_msg_index) ) ):
break
if ( random.random() < 0.01 and c.specifity < min_specifity * 0.3 ):
c.conditions.append( [ None ] * len( Message.game_msg_index) )
break
if ( len(c.conditions) == 2 ):
elements = range(len(Message.game_msg_index))
random.shuffle(elements)
elements_specifity = [ random.randint(1,5) for x in xrange(len(Message.game_msg_index))]
# Create the condition
for i,value in enumerate(elements):
c.specifity += 6 - elements_specifity[i]
c.conditions[1][value] = \
random.sample(xrange(0,5),elements_specifity[i] )
# Ensure message's value is in the condition
if ( message != None ):
if ( message.status[value] not in c.conditions[1][value] ):
c.conditions[1][value][0] = message.status[value]
c.conditions[1][value].sort()
# Stop adding to the condition sometime after you have > min_specifity
if ( c.specifity > min_specifity ):
if ( random.random() < float(i) / float(len(Message.game_msg_index) ) ):
break
if ( random.random() < 0.01 and c.specifity < min_specifity * 0.3 ):
c.conditions.append( [ None ] * len( Message.game_msg_index) )
break
# Set output
output_message = Message()
output_message.classifier_message()
output_message.emitter = c
c.output = output_message, random.choice(['Heal','Mine','Attack','Wait'])
return c
