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z3/parameter_tuning.py
Nikolaj Bjorner 394173f98c add notes to script
Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
2025-08-22 15:08:31 -07:00

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1.9 KiB
Python

import os
import z3
MAX_CONFLICTS = 5000
MAX_EXAMPLES = 5
bench_dir = "/home/t-ilshapiro/z3-poly-testing/inputs/QF_LIA"
bench_dir = "C:/tmp/parameter-tuning"
params = [
("smt.arith.eager_eq_axioms", False),
("smt.restart_factor", 1.2),
("smt.restart_factor", 1.4),
("smt.relevancy", 0),
("smt.phase_caching_off", 200),
("smt.phase_caching_on", 600),
# For LIA:
# arith.eager_eq_axioms
# arith.branch_cut_ratio
# arith.bprop_on_pivoted_rows
# arith.int_eq_branch
# arith.propagate_eqs
# restart_strategy
# For NIA, Certora
# arith.nl.branching
# etc many arith.nl options
]
def score_benchmark(filepath):
scores = {}
print(f"Running {filepath}\n")
for n, v in params:
s = z3.SimpleSolver()
s.from_file(filepath)
s.set("smt.auto_config", False)
s.set(n, v)
s.set("smt.max_conflicts", MAX_CONFLICTS)
r = s.check()
st = s.statistics()
# TODO: if r != unknown, the score should be better than
# scores of runs that don't finish
try:
d = st.get_key_value('decisions')
except:
try:
d = st.decisions()
except AttributeError:
d = None
print(n, v, d, st)
scores[(n, v)] = d
return scores
# Iterate through all .smt2 files in the directory
num_examples = 0
for benchmark in os.listdir(bench_dir):
if num_examples > MAX_EXAMPLES:
break
if not benchmark.endswith(".smt2"):
continue
filepath = os.path.join(bench_dir, benchmark)
scores = score_benchmark(filepath)
evaluate_score(filepath, scores)
num_examples += 1
print(f"Scores for {benchmark}: {scores}")
def evaluate_score(filepath, scores):
# Pick the top score,
# Run the benchmark with default config and with updated config based on best score.
# Check if time improves.
pass