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Don't rely on shared memory for logic operators
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2 changed files with 13 additions and 8 deletions
16
vspursuer.py
16
vspursuer.py
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@ -1,7 +1,8 @@
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#!/usr/bin/env python3
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from os import cpu_count
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import argparse
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import multiprocessing
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import multiprocessing as mp
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from logic import Implication, Conjunction, Disjunction
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from parse_magic import (
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SourceFile,
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@ -24,11 +25,18 @@ if __name__ == "__main__":
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solutions = parse_matrices(SourceFile(data_file))
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print(f"Parsed {len(solutions)} matrices")
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solutions_prep = []
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for model, interpretation in solutions:
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impfunction = interpretation[Implication]
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mconjunction = interpretation.get(Conjunction)
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mdisjunction = interpretation.get(Disjunction)
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solutions_prep.append((model, impfunction, mconjunction, mdisjunction))
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num_has_vsp = 0
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with multiprocessing.Pool(processes=max(cpu_count() - 2, 1)) as pool:
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with mp.Pool(processes=max(cpu_count() - 2, 1)) as pool:
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results = [
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pool.apply_async(has_vsp, (model, interpretation,))
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for model, interpretation in solutions
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pool.apply_async(has_vsp, (model, impfunction, mconjunction, mdisjunction,))
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for model, impfunction, mconjunction, mdisjunction in solutions_prep
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]
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for i, result in enumerate(results):
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