parser = OptionParser("usage: %prog [options] [INPUT ...]",
description=HELP)
parallel.populate_option_parser(parser)
parser.add_option("--relax",
help="generate relaxed problem",
action="store_true",
default=False,
dest="relax")
options, args = parser.parse_args()
options.suite = suites.build_suite(args)
return options
if __name__ == "__main__":
options = parse_options()
def run_problem(problem, log_func):
log_func("Translating %s..." % problem)
success = actions.do_translate(problem,
generate_relaxed_problem=options.relax)
if not success:
return "Translating %s failed, skipping preprocess." % problem
log_func("Preprocessing %s..." % problem)
success = actions.do_preprocess(problem)
if not success:
return "Preprocessing %s failed." % problem
return None
parallel.run_jobs(options.jobs, options.suite, run_problem)
def read_experiment_file(filename):
glob = {}
execfile(filename, glob, EXPERIMENT)
def main():
options = parse_options()
setup_experiment_settings(options)
jobs = [(problem, config) for problem in EXPERIMENT["suite_tasks"]
for config in EXPERIMENT["configurations"]]
print jobs
def run_problem((problem, config), log_func):
log_func("Solving %s with %s..." % (problem, config))
err_msg = actions.do_search(problem, config, EXPERIMENT["timeout"],
EXPERIMENT["memory"], EXPERIMENT["debug"])
return err_msg
tools.log(
"Solving %d problems in %d configurations." %
(len(EXPERIMENT["suite_tasks"]), len(EXPERIMENT["configurations"])))
parallel.run_jobs(options.jobs, jobs, run_problem)
if __name__ == "__main__":
main()
(e.g. "ALL", "TEST").'''
def parse_options():
parser = OptionParser("usage: %prog [options] [INPUT ...]",
description=HELP)
parallel.populate_option_parser(parser)
parser.add_option(
"--relax", help="generate relaxed problem",
action="store_true", default=False, dest="relax")
options, args = parser.parse_args()
options.suite = suites.build_suite(args)
return options
if __name__ == "__main__":
options = parse_options()
def run_problem(problem, log_func):
log_func("Translating %s..." % problem)
success = actions.do_translate(
problem, generate_relaxed_problem=options.relax)
if not success:
return "Translating %s failed, skipping preprocess." % problem
log_func("Preprocessing %s..." % problem)
success = actions.do_preprocess(problem)
if not success:
return "Preprocessing %s failed." % problem
return None
parallel.run_jobs(options.jobs, options.suite, run_problem)
exp[key] = update_dict[key]
def read_experiment_file(filename):
glob = {}
execfile(filename, glob, EXPERIMENT)
def main():
options = parse_options()
setup_experiment_settings(options)
jobs = [(problem, config)
for problem in EXPERIMENT["suite_tasks"]
for config in EXPERIMENT["configurations"]]
print jobs
def run_problem((problem, config), log_func):
log_func("Solving %s with %s..." % (problem, config))
err_msg = actions.do_search(problem, config, EXPERIMENT["timeout"], EXPERIMENT["memory"],
EXPERIMENT["debug"])
return err_msg
tools.log("Solving %d problems in %d configurations." % (
len(EXPERIMENT["suite_tasks"]), len(EXPERIMENT["configurations"])))
parallel.run_jobs(options.jobs, jobs, run_problem)
if __name__ == "__main__":
main()