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hybrid.py
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hybrid.py
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import gzip, binascii, os
import itertools
import random
from best import *
from config import *
childnum = 0
#Uncompress .gz file to other file
def uncompress_file(fn_in, fn_out):
print("uncompress %s -> %s" % (fn_in, fn_out))
f_in = gzip.open(fn_in, 'rb')
f_out = open(fn_out, 'wb')
file_content = f_in.read()
f_out.write(file_content)
f_out.close()
f_in.close()
#Uncompress all weight xxx.gz file to xxx.txt in DIR_PARENTS
def uncompress_parent():
files = os.listdir(DIR_PARENTS)
for file in files:
if file.endswith(".gz"):
file_pre = file[:-3]
file_weight = file_pre + ".txt"
if file_weight not in files:
uncompress_file(os.path.join(DIR_PARENTS, file), os.path.join(DIR_PARENTS, file_weight))
#Get all parent weight file in DIR_PARENTS
def get_all_parent():
files = os.listdir(DIR_PARENTS)
all_weight = []
for file in files:
if file.endswith(".txt"):
all_weight.append(file)
return all_weight
#See if child has generate or not need generate
def check_genchild_paramter(had_generated_pair, weights_pair, hbparam):
#not generate pair with same weight
for weight in weights_pair:
if weights_pair.count(weight)>1:
return False
#not generate pair had generated
key_paramter = []
for weight_param in zip(weights_pair, hbparam):
key_paramter.append(weight_param[0] + ":" + weight_param[1] + "&&")
key_paramter.sort()
key_index = "".join(str(x) for x in key_paramter)
if key_index in had_generated_pair:
return False
had_generated_pair.append(key_index)
return True
#Generate one child by one parameter
def gen_child(weights_pair, hbparam, randominherit):
#weight file name
weightname = "".join((x[:3] + "-") for x in weights_pair)
weightname = weightname[:-1]
weightname = weightname + "_"
hbparamname = "".join((str(x)+ "-") for x in hbparam)
hbparamname = hbparamname[:-1]
weightname = weightname + hbparamname
if (randominherit>0):
weightname = weightname + "_" + str(randominherit)
weightname = weightname + ".txt"
print(weightname)
#load all parent weight file
parent_weights_files = []
for filename in weights_pair:
parent_weights_files.append(open(os.path.join(DIR_PARENTS,filename), "rt"))
child_weight_file = open(os.path.join(DIR_CHILDREN,weightname), "wt")
#write child weight file
n = 0
while n>=0:
n = n + 1
if n == 1:
#write 1 in first line
child_weight_file.write("1")
for parent_weights_file in parent_weights_files:
parent_weights_file.readline()
else:
#init 1 line array
linearray_list = []
for parent_weights_file in parent_weights_files:
file_line = parent_weights_file.readline()
if file_line:
line_array = [float(x) for x in file_line.split()]
linearray_list.append(line_array)
else:
#read end , quit loop
n = -1
break
if n == -1:
break;
child_weight_file.write('\n')
#write child file
if len(linearray_list[0])>0:
for i in range(0, len(linearray_list[0])):
float_value = 0
hb_value = 0
for j in range(0, len(linearray_list)):
float_value = float_value + linearray_list[j][i]*float(hbparam[j])
hb_value = hb_value + float(hbparam[j])
float_value = float_value/hb_value
#random inherited
if (randominherit>0):
percent = random.random()
if (percent<randominherit):
index = random.randint(0, len(linearray_list))
float_value = linearray_list[j][i]
child_weight_file.write('%g ' % (float_value))
child_weight_file.close()
for file in parent_weights_files:
file.close()
#Generate children by one parameter
def gen_children(all_parent_weight, parameter, randominherit):
hbparam = parameter.split(":")
des_parent_weights = []
if len(hbparam) == 2:
des_parent_weights = itertools.product(all_parent_weight, all_parent_weight)
if len(hbparam) == 3:
des_parent_weights = itertools.product(all_parent_weight, all_parent_weight, all_parent_weight)
if len(hbparam) == 4:
des_parent_weights = itertools.product(all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight)
if len(hbparam) == 5:
des_parent_weights = itertools.product(all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight)
if len(hbparam) == 6:
des_parent_weights = itertools.product(all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight)
if len(hbparam) == 7:
des_parent_weights = itertools.product(all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight)
if len(hbparam) == 8:
des_parent_weights = itertools.product(all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight)
if len(hbparam) == 9:
des_parent_weights = itertools.product(all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight, all_parent_weight)
had_generated_pair = []
for weights_pair in des_parent_weights:
#check if weight need generate
need_gen = check_genchild_paramter(had_generated_pair, weights_pair, hbparam)
if need_gen :
global childnum
childnum = childnum + 1
gen_child(weights_pair, hbparam, randominherit)
#match after MATCH_PER_GAMES
if childnum>=MATCH_PER_GAMES:
findbestchild()
childnum = 0
#Main function
def hybrid():
print("-- STEP 1: Uncompress All parent weight file --")
uncompress_parent()
print("")
print("-- STEP 2: Generate Hybrid Weight --")
all_parent_weight = get_all_parent()
print("All Parent weight File: %s" % all_parent_weight)
for hybrid_pattern in HYBRID:
print(">>Generate Hybrid Children with %s" % hybrid_pattern )
gen_children(all_parent_weight, hybrid_pattern["HybridParameter"], float(hybrid_pattern["RandomInherit"]))
findbestchild()
if __name__ == '__main__':
hybrid()