nojhan
3928be07a0
- add ecdf module - add expe module - add func module - use Dump wrapper around obj. func. instead of iters. - add random solvers in snp options. - add no-plot option in snp.
46 lines
1.4 KiB
Python
46 lines
1.4 KiB
Python
|
|
if __name__ == "__main__":
|
|
import os
|
|
import subprocess
|
|
|
|
# can = argparse.ArgumentParser()
|
|
#
|
|
# can.add_argument("-n", "--nb-sensors", metavar="NB", default=3, type=int,
|
|
# help="Number of sensors")
|
|
#
|
|
# can.add_argument("-r", "--sensor-range", metavar="RATIO", default=0.3, type=float,
|
|
# help="Sensors' range (as a fraction of domain width)")
|
|
#
|
|
# can.add_argument("-w", "--domain-width", metavar="NB", default=30, type=int,
|
|
# help="Domain width (a number of cells)")
|
|
#
|
|
# can.add_argument("-i", "--iters", metavar="NB", default=100, type=int,
|
|
# help="Maximum number of iterations")
|
|
#
|
|
# the = can.parse_args()
|
|
|
|
const_args=" --nb-sensors 5 --sensor-range 0.2 --domain-width 50 --iters 10000"
|
|
solvers = ["num_greedy","bit_greedy","num_rand","bit_rand"]
|
|
nbruns = 100
|
|
outdir = "results"
|
|
|
|
if not os.path.exists(outdir):
|
|
os.mkdir(outdir)
|
|
|
|
for seed in range(nbruns):
|
|
procs = []
|
|
for solver in solvers:
|
|
print(seed,solver)
|
|
p = subprocess.Popen(
|
|
"python3 snp.py "
|
|
+ const_args
|
|
+ " --no-plot --dir {} --seed {} --solver {}"
|
|
.format(outdir,seed,solver),
|
|
shell=True
|
|
)
|
|
procs.append(p)
|
|
|
|
for proc in procs:
|
|
proc.wait()
|
|
|
|
|