hoffile = open(dirname + "/hof.pickle")
(gen_hof, class_hof) = cPickle.load(hoffile)
hoffile.close()
else:
gen_hof = [hgcpp.Generator()]
class_hof = [hgcpp.Classifier()]
print 0
t0 = time.time()
for i in xrange(runtimes):
(class_pop, c) = hgcpp.evo_step(class_pop, gen_hof)
t1 = time.time()
print "Classifier HOF member found after " + str(t1 - t0) + " seconds"
t0 = t1
class_hof = [c] + class_hof
(gen_pop, g) = hgcpp.evo_step(gen_pop, class_hof)
t1 = time.time()
print "Generator HOF member found after " + str(t1 - t0) + " seconds"
t0 = t1
gen_hof = [g] + gen_hof
test.teststep(g, c, ref_data)
print i + 1
final_file = open(dirname + "/breed.pickle", "w")
cPickle.dump((gen_pop, class_pop), final_file, protocol=cPickle.HIGHEST_PROTOCOL)
final_file.close()
final_file = open(dirname + "/hof.pickle", "w")
cPickle.dump((gen_hof, class_hof), final_file, protocol=cPickle.HIGHEST_PROTOCOL)
final_file.close()
cf.write()
#!/usr/bin/env python
from cli import command_line as cli
from test import TestStep as teststep
import time
__author__ = 'tianheng'
cli_output = cli()
test_run = teststep()
if cli_output is 1:
test_run.step_one()
elif cli_output is 2:
test_run.step_two()
elif cli_output is 3:
test_run.step_three()
elif cli_output is 4:
test_run.step_four()
elif cli_output is 5:
test_run.step_five()
elif cli_output is 6:
test_run.step_six()
elif cli_output is 7:
test_run.step_seven()
elif cli_output is 8:
pass_flag_list = []
pass_flag_list.append(test_run.step_one())
pass_flag_list.append(test_run.step_two())
pass_flag_list.append(test_run.step_three())
pass_flag_list.append(test_run.step_four())
pass_flag_list.append(test_run.step_five())
pass_flag_list.append(test_run.step_six())
pass_flag_list.append(test_run.step_seven())
