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Don't rely on shared memory for logic operators

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Brandon Rozek 2024-12-10 17:17:14 -08:00
parent 29526dbec3
commit b06dd8ee01
2 changed files with 13 additions and 8 deletions
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16
vspursuer.py
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@ -1,7 +1,8 @@
#!/usr/bin/env python3
from os import cpu_count
import argparse
import multiprocessing
import multiprocessing as mp
from logic import Implication, Conjunction, Disjunction
from parse_magic import (
SourceFile,
@ -24,11 +25,18 @@ if __name__ == "__main__":
solutions = parse_matrices(SourceFile(data_file))
print(f"Parsed {len(solutions)} matrices")
solutions_prep = []
for model, interpretation in solutions:
impfunction = interpretation[Implication]
mconjunction = interpretation.get(Conjunction)
mdisjunction = interpretation.get(Disjunction)
solutions_prep.append((model, impfunction, mconjunction, mdisjunction))
num_has_vsp = 0
with multiprocessing.Pool(processes=max(cpu_count() - 2, 1)) as pool:
with mp.Pool(processes=max(cpu_count() - 2, 1)) as pool:
results = [
pool.apply_async(has_vsp, (model, interpretation,))
for model, interpretation in solutions
pool.apply_async(has_vsp, (model, impfunction, mconjunction, mdisjunction,))
for model, impfunction, mconjunction, mdisjunction in solutions_prep
]
for i, result in enumerate(results):