Closed vhavlena closed 6 days ago
Nice, but you should compare with z3-noodler-193f136-17ffaf6
not with z3-noodler-5249443-17ffaf6
(I forgot to push it).
However, it seems like there is still a bug somewhere else, because on the original formula QF_SLIA/2019-full_str_int/py-conbyte_z3seq/leetcode_int-validWordAbbreviation/162.smt2
it still gives incorrect model (probably also on QF_SLIA/2019-full_str_int/py-conbyte_z3seq/leetcode_int-validWordAbbreviation/36.smt2
, I did not check).
Sure, updated results
# of formulae: 103405
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tool ✅ ❌ time avg med std sat unsat unknown TO MO+ERR other
-------------------------- ------ ---- --------- ----- ----- ----- ----- ------- --------- ---- -------- -------
z3-noodler-0122b33-17ffaf6 102443 962 12100.47 0.12 0.02 1.66 62952 39491 528 372 62 0
z3-noodler-193f136-17ffaf6 102442 963 12345.08 0.12 0.02 1.72 62953 39489 530 372 61 0
cvc5-1.2.0 99841 3564 73861.19 0.74 0.01 6.42 60931 38910 2 3553 9 0
z3-4.13.0 97745 5660 128712.47 1.32 0.01 7.95 58927 38818 211 4914 465 70
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Results: