def evaluate_simulation_results(graph_folder, generation_number, parameters = {}, reps = [0], autorun = False, plot_name = None):
#print parameters
assert parameters, "Please specify a dictionary with par_name:par_value as key:value sets"
data = empty_data_matrix(len(reps))
saved_simulation_data_ids = list()
simulation_reps_to_run = []
random_path = str(randint(0, 2**64))
log_folders = IO.get_logfolders(parameters, reps, random_path)
for r in reps:
try:
assert IO.check_simulation_complete(log_folders[r]), "Could not calculate data because simulation in folder %s was not finished"%log_folders[r]
except AssertionError:
simulation_reps_to_run.append(r)
if simulation_reps_to_run: run_simulation(parameters, simulation_reps_to_run, random_path)
for r in reps:
data[r], data_id = __evaluate_simulation_results(parameters, log_folders[r], graph_folder, generation_number, plot_name)
if data_id: saved_simulation_data_ids.append(data_id)
return data, saved_simulation_data_ids
def run_simulation(parameters, reps, random_path):
#assert check_parameters(parameters), "Invalid simulation parameters!"
processes = list()
log_folders = IO.get_logfolders(parameters, reps, random_path)
try:
for i, rep in enumerate(reps):
### Remove old simulation data calculated with the same parameters
shutil.rmtree(log_folders[i], ignore_errors=True)
parameters.update({'nRounds':settings.n_simulation_rounds})
### Build parameter string for java program
par_string = ''
for (par, val) in parameters.items(): par_string += '-D%s=%s '%(par,val)
vm_args = "java -d64 -Xms512m -Xmx4g -DlogFolder=%s "%log_folders[i]
command = vm_args + par_string + '-jar %s'%settings.jar_path
if settings.WITH_SIMULATION_OUTPUT:
processes.append(Popen(command.split(' ')))
else:
processes.append(Popen(command.split(' '), stdout=open(devnull, 'w')))
for p in processes:
p.wait()
except CalledProcessError, e:
e.__str__()
