if len(sys.argv) >= 2:
experiment_name = sys.argv[1]
if len(sys.argv) >= 3:
experiment_number = int(sys.argv[2])
# Experiment prefix.
prefix = datetime.now().strftime("%y%m%d_%H%M%S")
# Move to experiment directory.
print "Moving to experiment run directory '%s'..." % experiment_run_dir
os.chdir( experiment_run_dir )
# Initialize HyperNEAT.
print "Initializing HyperNEAT..."
neat.initializeHyperNEAT()
# Load experiment.
print "Running HyperNEAT experiment '%s'..." % experiment_name
neat.setupExperiment( "%s/%sExperiment.dat" % (experiment_data_dir, experiment_name), "%s.xml" % output_name )
# Cleanup.
print "Cleaning up..."
neat.cleanupHyperNEAT()
# Move files over.
os.chdir( start_dir )
call( "mv %s output/%s_%02d_%s.xml.gz" % ("%s/%s_best.xml.gz" % (experiment_run_dir, output_name), experiment_name, experiment_number, prefix), shell=True )
# Done.
print "===== Done."
ind = geneticIndividuals.getIndividual(generation)
net = ind.spawnFastPhenotypeStack()
reward_value = evaluate_xor2(net)
ind.reward(reward_value)
#geneticIndividuals.sortByFitness()
#geneticIndividuals.cleanup()
experimentRun.finishEvaluations()
# Store the output file.
experimentRun.saveBest()
# Cleanup.
print "Cleaning up..."
neat.cleanupHyperNEAT()
# Move files over.
os.chdir(start_dir)
call("mv %s output/%s_%02d_%s.xml.gz" %
("%s/%s_best.xml.gz" % (experiment_run_dir, output_name), experiment_name,
experiment_number, prefix),
shell=True)
# Done.
print "===== Done."
