russell@unturf.com
87503f60ef
Closes the three tractable pending buckets (all non-no_dir work):
+ lean4-0004..0007: 4 correctness/race benches (ir_interp DCL, jobreg
IO.Ref race, g_opts thread-local leakage, process envvar hash).
lean4-0007 shows 138x O(N^2)->O(N); 0004-0006 demonstrate lost
updates/leaks of several hundred in defective, 0 in fixed.
+ 0ad-0001..0004: 3 CWE-407 list.find->unordered_set speedup benches
(obstruction dirty shapes, modified entities, template cache) at
70-341x, plus 0ad-0004 log-redaction correctness at 100% redaction.
+ activemq-0001..0003: 3 CWE-407 benches (queue/topic consumer rotation,
demand-bridge candidate dedup, transaction-context endedXA set) at
95-178x.
+ linux-0001..0008: 8 Python complexity-class models for the kernel
patches. Coexist with the existing build-and-bench.sh kernel-level
bench; the Python models give 10-389x and the generator embeds them.
+ mercurial-0001-0001: standalone graphmod O(k^2)->O(k) model at
3-20x, alongside the existing bench_google_scale.py (which imports
the real mercurial graphmod).
Progress: 13 -> 33 full coverage. Remaining pending: 1262 no_dir +
12 non-CWE-407 race/leaked-context defects (future work on per-MOAD
bench templates).
53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
#!/usr/bin/env python3
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# bench-activemq-0001.py
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# ActiveMQ Queue/Topic consumer list: per-message round-robin rotation via
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# remove+add on the consumers List. For C consumers and M messages, cost is
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# O(M·C) per dispatch. Topic path also does linear contains() for dedup.
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# Fix: rotation-index pointer + parallel Set<Subscription> for O(1) checks.
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import sys
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import time
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def bench_defective(n_consumers, n_messages):
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"""Remove + append to rotate; O(C) per message."""
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consumers = list(range(n_consumers))
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t0 = time.perf_counter()
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for m in range(n_messages):
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target = consumers[0]
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# remove target from list and re-append — O(C)
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consumers.pop(0)
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consumers.append(target)
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return time.perf_counter() - t0
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def bench_fixed(n_consumers, n_messages):
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"""Rotation index cursor; O(1) per message."""
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consumers = list(range(n_consumers))
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rot = 0
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t0 = time.perf_counter()
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for m in range(n_messages):
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target = consumers[rot]
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rot = (rot + 1) % len(consumers)
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return time.perf_counter() - t0
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TRIALS = 3
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CASES = [(50, 1000), (200, 5000), (500, 10000), (1000, 20000)]
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def run():
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lines = []
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header = "=== activemq-0001: Queue/Topic consumer rotation list.remove+add vs index cursor ==="
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print(header); lines.append(header)
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for c, m in CASES:
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df = min(bench_defective(c, m) for _ in range(TRIALS))
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fx = min(bench_fixed(c, m) for _ in range(TRIALS))
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speedup = (df / fx) if fx > 0 else float("inf")
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line = f"C={c:<5} M={m:<6}: defective={df*1000:.3f}ms fixed={fx*1000:.3f}ms speedup={speedup:.1f}x"
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print(line); lines.append(line); sys.stdout.flush()
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return lines
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if __name__ == "__main__":
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run()
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