help="Directory with *all* test data in ASlib format")
parser.add_argument("--train_as",
help="Directory with *all* train data in ASlib format")
args_ = parser.parse_args()
start_time_fold = tm.time()
#read scenarios
test_scenario = ASlibScenario()
test_scenario.read_scenario(dn=args_.test_as)
train_scenario = ASlibScenario()
train_scenario.read_scenario(dn=args_.train_as)
# read result file
with open(args_.result_fn) as fp:
schedules = json.load(fp)
validator = Validator()
if test_scenario.performance_type[0] == "runtime":
validator.validate_runtime(schedules=schedules,
test_scenario=test_scenario,
train_scenario=train_scenario)
else:
validator.validate_quality(schedules=schedules,
test_scenario=test_scenario,
train_scenario=train_scenario)
ex_time_fold = tm.strftime("%H:%M:%S",
tm.gmtime(tm.time() - start_time_fold))
print(ex_time_fold)
