This commit is contained in:
Tom Krüger
2021-01-21 02:20:10 +01:00
parent d3141318b7
commit 2aaf89d01f
6 changed files with 180 additions and 7 deletions

1
.gitignore vendored
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@@ -1 +1,2 @@
extended/*
*.swp

42
extend.py Executable file
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#!python3
import sys
from pysat.formula import CNF
import argparse
import pathlib as pl
import bz2
def main():
f_ext= CNF(from_fp=sys.stdin)
instance_dir = pl.Path(parse_args())
instance, core_nr = parse_header(f_ext.comments[0])
ipath = instance_dir / (instance + ".cnf.bz2")
f = CNF(ipath)
f.extend(f_ext)
f.comments = []
f.to_fp(sys.stdout,
comments=["c extension_of:{} nr:{}".format(instance, core_nr)])
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("-i", "--instance_dir",
type=str,
default="./instances",
help="path to the directoy containing all instances")
args = parser.parse_args()
return args.instance_dir
def parse_header(header):
tokens = header.split(' ')[1:]
return tokens[0].split(':')[1], int(tokens[1].split(':')[1])
if __name__ == "__main__":
main()

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@@ -57,18 +57,16 @@ def run(instance, calls_per_instance):
for i in range(calls_per_instance):
extension = gen_extension(iname, len(f.clauses) / 10)
#tmp_f = f.copy()
#tmp_f.extend(extension)
ext_f = CNF()
ext_f.extend(extension)
print(iname)
print(len(f.clauses))
print()
ext_f.to_file(next_file_path(iname),
comments=["c {} core extended".format(iname),
fpath, nr = next_file_path(iname)
ext_f.to_file(fpath,
comments=["c extending:{} nr:{}".format(iname, nr),
"c number of cores: {}".format(len(extension))],
compress_with="bzip2")
@@ -111,7 +109,7 @@ def next_file_path(name):
counter += 1
ext_file_path = EXTENDED_DIR / ("{}_{:04}.cnf.bz2".format(name, counter))
return ext_file_path
return ext_file_path, counter
if __name__ == "__main__":
main()

77
main.py Normal file
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"""
This script is written for running Uwe Schöning's WalkSAT algorithm
[Uwe Schöning:
A probabilistic algorithm for k-SAT and constraint satisfaction problems.
In: Proceedings of FOCS 1999, IEEE, pages 410414.]
via the command line
by specifying the instance to solve, and the seed to use.
Uwe Schöning's WalkSAT algorithm can be seen as a special case of the probSAT algorithm
[Adrian Balint, Uwe Schöning:
Choosing Probability Distributions for Stochastic Local Search and the Role of Make versus Break.
In: Lecture Notes in Computer Science, 2012, Volume 7317, Theory and Applications of Satisfiability Testing - SAT 2012, pages 16-29.
https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.190/Mitarbeiter/balint/SAT2012.pdf]
with exponential function (break-only-exp-algorithm) and c_b = 1.
The script will record the number of flips, the time used, and the seed used.
"""
import argparse
from subprocess import Popen, PIPE
from time import sleep
from os.path import exists
import sys
from timeit import default_timer as timer
import pathlib as pl
def run_alg(instance):
solve_ext_path = pl.Path("./solve_extended.sh").absolute()
#p = Popen([solve_ext_path, instance])
p = Popen(["bash", "./solve_extended.sh", instance], stdin = PIPE, stdout = PIPE, stderr=PIPE)
output, err = p.communicate()
rc = p.returncode
err = err.decode("utf-8") if err else ""
if err != "":
print(err, file=sys.stderr)
return output.decode("utf-8")
def parse_result(res_str):
res = {}
for line in res_str.splitlines():
if line.startswith("c restarts"):
res["restarts"] = int(line.split(":")[1].strip().split(" ")[0])
elif line.startswith("c conflicts"):
res["conflicts"] = int(line.split(":")[1].strip().split(" ")[0])
elif line.startswith("c decisions"):
res["decisions"] = int(line.split(":")[1].strip().split(" ")[0])
elif line.startswith("c propagations"):
res["propagations"] = int(line.split(":")[1].strip().split(" ")[0])
elif line.startswith("c nb reduced Clauses"):
res["reduced_clauses"] = int(line.split(":")[1])
elif line.startswith("c CPU time"):
res["cpu_time"] = float(line.split(":")[1].strip().split(" ")[0])
elif line.startswith("s"):
res["result"] = line.split(" ")[1].strip()
return res
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument("-i", "--instance", help="The instance.")
args = parser.parse_args()
res_str = run_alg(args.instance)
res = parse_result(res_str)
print(','.join(map(str, res.values())))

52
main.py.backup Normal file
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"""
This script is written for running Uwe Schöning's WalkSAT algorithm
[Uwe Schöning:
A probabilistic algorithm for k-SAT and constraint satisfaction problems.
In: Proceedings of FOCS 1999, IEEE, pages 410414.]
via the command line
by specifying the instance to solve, and the seed to use.
Uwe Schöning's WalkSAT algorithm can be seen as a special case of the probSAT algorithm
[Adrian Balint, Uwe Schöning:
Choosing Probability Distributions for Stochastic Local Search and the Role of Make versus Break.
In: Lecture Notes in Computer Science, 2012, Volume 7317, Theory and Applications of Satisfiability Testing - SAT 2012, pages 16-29.
https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.190/Mitarbeiter/balint/SAT2012.pdf]
with exponential function (break-only-exp-algorithm) and c_b = 1.
The script will record the number of flips, the time used, and the seed used.
"""
import argparse
from subprocess import Popen, PIPE
from time import sleep
from os.path import exists
import sys
from timeit import default_timer as timer
def run_alg(instance, seed):
p = Popen(['./uweAlg', '--cb', '1.0', '--fct', str(1), instance, str(abs(seed))], stdin = PIPE, stdout = PIPE, stderr=PIPE)
output, err = p.communicate()
rc = p.returncode
err = err.decode("utf-8")
if err != "":
print(err, file=sys.stderr)
return output.decode("utf-8").replace(" 1\n","").replace("\n","")
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument("-s", "--seed", type=int, default=1909, help="The seed.")
parser.add_argument("-i", "--instance", default='./instances/uf250-01.cnf', help="The instance.")
args = parser.parse_args()
start = timer()
flips = run_alg(args.instance, args.seed)
end = timer()
print(flips, end-start, str(abs(args.seed)))

3
solve_extended.sh Executable file
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#!bash
bzip2 -d < ${1} | python3 ./extend.py | glucose