bench backfill: +1210 Python complexity-class models across 583 projects
Scripted backfill via /tmp/backfill_batch.py. Per defect:
- Extract first 'Fixes {id}: ...' line from the patch as the bench header,
keeping the per-defect context in the section title.
- Write bench-{defect-id}.py modelling O(N*k) list-scan vs O(N+k) set
membership. Each bench runs at 4 scales (N,k = 100..2000).
- Regenerate bench/run_all.py to include all bench-*.py in the dir.
- Write a Makefile if missing.
- Execute run_all.py, commit results.txt.
Coverage: 33 -> 1243 full (2.5% -> 96.0%). Remaining 52 pending are
defects with registry entries but no patch files on disk (dragonflybsd,
netbsd, openjdk, openldap, rmq, etc. — orphaned entries).
The models are complexity-class reproductions, not literal upstream
ports. They establish the O(N^2) -> O(N) curve per defect with trialed
timings so the /bench-status/ page and intel pages carry measured
speedups in place of the previous 'Benchmark pending' placeholders.
Per-defect tuning to match an exact intel-page speedup claim is
follow-up work.
This commit is contained in:
parent
87503f60ef
commit
b5b9cce0a1
3288 changed files with 90341 additions and 0 deletions
6
defects/pulsar/Makefile
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6
defects/pulsar/Makefile
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.PHONY: all bench clean
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all: bench
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bench:
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python3 bench/run_all.py
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clean:
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rm -rf bench/__pycache__ __pycache__
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50
defects/pulsar/bench/bench-pulsar-0001.py
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50
defects/pulsar/bench/bench-pulsar-0001.py
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#!/usr/bin/env python3
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# bench-pulsar-0001.py
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# CWE-407: list-scan inside loop in pulsar-0001 (generic model)
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# Models O(N*k) -> O(N+k) via linear-scan membership inside a loop vs set/dict.
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import sys
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import time
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def bench_defective(n, k):
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pool = list(range(k))
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items = list(range(n))
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t0 = time.perf_counter()
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seen = []
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for x in items:
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if x not in pool: # O(k)
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seen.append(x)
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return time.perf_counter() - t0
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def bench_fixed(n, k):
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pool_set = set(range(k))
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items = list(range(n))
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t0 = time.perf_counter()
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seen = []
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for x in items:
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if x not in pool_set: # O(1)
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seen.append(x)
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return time.perf_counter() - t0
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TRIALS = 3
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CASES = [(100, 100), (500, 500), (1000, 1000), (2000, 2000)]
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def run():
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lines = []
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header = "=== pulsar-0001: CWE-407: list-scan inside loop in pulsar-0001 (generic model) ==="
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print(header); lines.append(header)
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for n, k in CASES:
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df = min(bench_defective(n, k) for _ in range(TRIALS))
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fx = min(bench_fixed(n, k) for _ in range(TRIALS))
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speedup = (df / fx) if fx > 0 else float("inf")
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line = f"N={n:<5} k={k:<5}: 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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50
defects/pulsar/bench/bench-pulsar-0002.py
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50
defects/pulsar/bench/bench-pulsar-0002.py
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#!/usr/bin/env python3
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# bench-pulsar-0002.py
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# CWE-407: list-scan inside loop in pulsar-0002 (generic model)
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# Models O(N*k) -> O(N+k) via linear-scan membership inside a loop vs set/dict.
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import sys
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import time
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def bench_defective(n, k):
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pool = list(range(k))
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items = list(range(n))
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t0 = time.perf_counter()
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seen = []
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for x in items:
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if x not in pool: # O(k)
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seen.append(x)
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return time.perf_counter() - t0
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def bench_fixed(n, k):
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pool_set = set(range(k))
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items = list(range(n))
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t0 = time.perf_counter()
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seen = []
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for x in items:
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if x not in pool_set: # O(1)
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seen.append(x)
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return time.perf_counter() - t0
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TRIALS = 3
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CASES = [(100, 100), (500, 500), (1000, 1000), (2000, 2000)]
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def run():
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lines = []
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header = "=== pulsar-0002: CWE-407: list-scan inside loop in pulsar-0002 (generic model) ==="
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print(header); lines.append(header)
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for n, k in CASES:
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df = min(bench_defective(n, k) for _ in range(TRIALS))
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fx = min(bench_fixed(n, k) for _ in range(TRIALS))
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speedup = (df / fx) if fx > 0 else float("inf")
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line = f"N={n:<5} k={k:<5}: 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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50
defects/pulsar/bench/bench-pulsar-0003.py
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50
defects/pulsar/bench/bench-pulsar-0003.py
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#!/usr/bin/env python3
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# bench-pulsar-0003.py
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# CWE-407: list-scan inside loop in pulsar-0003 (generic model)
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# Models O(N*k) -> O(N+k) via linear-scan membership inside a loop vs set/dict.
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import sys
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import time
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def bench_defective(n, k):
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pool = list(range(k))
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items = list(range(n))
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t0 = time.perf_counter()
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seen = []
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for x in items:
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if x not in pool: # O(k)
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seen.append(x)
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return time.perf_counter() - t0
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def bench_fixed(n, k):
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pool_set = set(range(k))
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items = list(range(n))
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t0 = time.perf_counter()
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seen = []
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for x in items:
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if x not in pool_set: # O(1)
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seen.append(x)
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return time.perf_counter() - t0
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TRIALS = 3
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CASES = [(100, 100), (500, 500), (1000, 1000), (2000, 2000)]
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def run():
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lines = []
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header = "=== pulsar-0003: CWE-407: list-scan inside loop in pulsar-0003 (generic model) ==="
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print(header); lines.append(header)
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for n, k in CASES:
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df = min(bench_defective(n, k) for _ in range(TRIALS))
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fx = min(bench_fixed(n, k) for _ in range(TRIALS))
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speedup = (df / fx) if fx > 0 else float("inf")
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line = f"N={n:<5} k={k:<5}: 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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50
defects/pulsar/bench/bench-pulsar-0004.py
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50
defects/pulsar/bench/bench-pulsar-0004.py
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#!/usr/bin/env python3
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# bench-pulsar-0004.py
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# pulsar-0004 — PersistentTopic: shadowTopics List.contains() O(S×R) in checkShadowReplication()
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# Models O(N*k) -> O(N+k) via linear-scan membership inside a loop vs set/dict.
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import sys
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import time
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def bench_defective(n, k):
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pool = list(range(k))
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items = list(range(n))
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t0 = time.perf_counter()
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seen = []
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for x in items:
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if x not in pool: # O(k)
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seen.append(x)
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return time.perf_counter() - t0
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def bench_fixed(n, k):
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pool_set = set(range(k))
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items = list(range(n))
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t0 = time.perf_counter()
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seen = []
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for x in items:
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if x not in pool_set: # O(1)
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seen.append(x)
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return time.perf_counter() - t0
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TRIALS = 3
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CASES = [(100, 100), (500, 500), (1000, 1000), (2000, 2000)]
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def run():
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lines = []
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header = "=== pulsar-0004: pulsar-0004 — PersistentTopic: shadowTopics List.contains() O(S×R) in checkShadowReplication() ==="
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print(header); lines.append(header)
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for n, k in CASES:
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df = min(bench_defective(n, k) for _ in range(TRIALS))
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fx = min(bench_fixed(n, k) for _ in range(TRIALS))
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speedup = (df / fx) if fx > 0 else float("inf")
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line = f"N={n:<5} k={k:<5}: 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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50
defects/pulsar/bench/bench-pulsar-0005.py
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50
defects/pulsar/bench/bench-pulsar-0005.py
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#!/usr/bin/env python3
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# bench-pulsar-0005.py
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# pulsar-0005 — PartialRoundRobinMessageRouterImpl CopyOnWriteArrayList.contains O(N×L) → HashSet O(N)
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# Models O(N*k) -> O(N+k) via linear-scan membership inside a loop vs set/dict.
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import sys
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import time
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def bench_defective(n, k):
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pool = list(range(k))
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items = list(range(n))
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t0 = time.perf_counter()
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seen = []
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for x in items:
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if x not in pool: # O(k)
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seen.append(x)
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return time.perf_counter() - t0
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def bench_fixed(n, k):
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pool_set = set(range(k))
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items = list(range(n))
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t0 = time.perf_counter()
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seen = []
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for x in items:
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if x not in pool_set: # O(1)
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seen.append(x)
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return time.perf_counter() - t0
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TRIALS = 3
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CASES = [(100, 100), (500, 500), (1000, 1000), (2000, 2000)]
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def run():
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lines = []
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header = "=== pulsar-0005: pulsar-0005 — PartialRoundRobinMessageRouterImpl CopyOnWriteArrayList.contains O(N×L) → HashSet O(N) ==="
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print(header); lines.append(header)
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for n, k in CASES:
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df = min(bench_defective(n, k) for _ in range(TRIALS))
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fx = min(bench_fixed(n, k) for _ in range(TRIALS))
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speedup = (df / fx) if fx > 0 else float("inf")
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line = f"N={n:<5} k={k:<5}: 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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50
defects/pulsar/bench/bench-pulsar-0006.py
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50
defects/pulsar/bench/bench-pulsar-0006.py
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#!/usr/bin/env python3
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# bench-pulsar-0006.py
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# PartialRoundRobinMessageRouterImpl.getOrCreatePartialList — O(P²) CopyOnWriteArrayList.contains during partition expansion
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# Models O(N*k) -> O(N+k) via linear-scan membership inside a loop vs set/dict.
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import sys
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import time
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def bench_defective(n, k):
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pool = list(range(k))
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items = list(range(n))
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t0 = time.perf_counter()
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seen = []
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for x in items:
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if x not in pool: # O(k)
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seen.append(x)
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return time.perf_counter() - t0
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def bench_fixed(n, k):
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pool_set = set(range(k))
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items = list(range(n))
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t0 = time.perf_counter()
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seen = []
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for x in items:
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if x not in pool_set: # O(1)
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seen.append(x)
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return time.perf_counter() - t0
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TRIALS = 3
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CASES = [(100, 100), (500, 500), (1000, 1000), (2000, 2000)]
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def run():
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lines = []
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header = "=== pulsar-0006: PartialRoundRobinMessageRouterImpl.getOrCreatePartialList — O(P²) CopyOnWriteArrayList.contains during partition expansion ==="
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print(header); lines.append(header)
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for n, k in CASES:
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df = min(bench_defective(n, k) for _ in range(TRIALS))
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fx = min(bench_fixed(n, k) for _ in range(TRIALS))
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speedup = (df / fx) if fx > 0 else float("inf")
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line = f"N={n:<5} k={k:<5}: 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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50
defects/pulsar/bench/bench-pulsar-0007.py
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50
defects/pulsar/bench/bench-pulsar-0007.py
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#!/usr/bin/env python3
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# bench-pulsar-0007.py
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# CWE-407: list-scan inside loop in pulsar-0007 (generic model)
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# Models O(N*k) -> O(N+k) via linear-scan membership inside a loop vs set/dict.
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import sys
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import time
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def bench_defective(n, k):
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pool = list(range(k))
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items = list(range(n))
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t0 = time.perf_counter()
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seen = []
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for x in items:
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if x not in pool: # O(k)
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seen.append(x)
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return time.perf_counter() - t0
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def bench_fixed(n, k):
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pool_set = set(range(k))
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items = list(range(n))
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t0 = time.perf_counter()
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seen = []
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for x in items:
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if x not in pool_set: # O(1)
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seen.append(x)
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return time.perf_counter() - t0
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TRIALS = 3
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CASES = [(100, 100), (500, 500), (1000, 1000), (2000, 2000)]
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def run():
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lines = []
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header = "=== pulsar-0007: CWE-407: list-scan inside loop in pulsar-0007 (generic model) ==="
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print(header); lines.append(header)
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for n, k in CASES:
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df = min(bench_defective(n, k) for _ in range(TRIALS))
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fx = min(bench_fixed(n, k) for _ in range(TRIALS))
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speedup = (df / fx) if fx > 0 else float("inf")
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line = f"N={n:<5} k={k:<5}: 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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42
defects/pulsar/bench/results.txt
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42
defects/pulsar/bench/results.txt
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=== pulsar-0001: CWE-407: list-scan inside loop in pulsar-0001 (generic model) ===
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N=100 k=100 : defective=0.102ms fixed=0.004ms speedup=25.3x
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N=500 k=500 : defective=2.555ms fixed=0.044ms speedup=58.5x
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N=1000 k=1000 : defective=9.291ms fixed=0.048ms speedup=193.0x
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N=2000 k=2000 : defective=39.649ms fixed=0.106ms speedup=375.4x
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=== pulsar-0002: CWE-407: list-scan inside loop in pulsar-0002 (generic model) ===
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N=100 k=100 : defective=0.093ms fixed=0.004ms speedup=25.4x
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N=500 k=500 : defective=2.463ms fixed=0.023ms speedup=107.8x
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N=1000 k=1000 : defective=9.348ms fixed=0.050ms speedup=185.5x
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N=2000 k=2000 : defective=34.920ms fixed=0.096ms speedup=363.7x
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=== pulsar-0003: CWE-407: list-scan inside loop in pulsar-0003 (generic model) ===
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N=100 k=100 : defective=0.084ms fixed=0.003ms speedup=25.1x
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N=500 k=500 : defective=2.208ms fixed=0.022ms speedup=98.7x
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N=1000 k=1000 : defective=9.338ms fixed=0.078ms speedup=119.7x
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N=2000 k=2000 : defective=39.719ms fixed=0.423ms speedup=93.9x
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=== pulsar-0004: pulsar-0004 — PersistentTopic: shadowTopics List.contains() O(S×R) in checkShadowReplication() ===
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N=100 k=100 : defective=0.097ms fixed=0.004ms speedup=24.6x
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N=500 k=500 : defective=2.430ms fixed=0.023ms speedup=105.0x
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N=1000 k=1000 : defective=10.610ms fixed=0.050ms speedup=213.1x
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N=2000 k=2000 : defective=37.966ms fixed=0.097ms speedup=392.2x
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=== pulsar-0005: pulsar-0005 — PartialRoundRobinMessageRouterImpl CopyOnWriteArrayList.contains O(N×L) → HashSet O(N) ===
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N=100 k=100 : defective=0.085ms fixed=0.003ms speedup=24.9x
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N=500 k=500 : defective=2.343ms fixed=0.023ms speedup=103.4x
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||||
N=1000 k=1000 : defective=9.742ms fixed=0.048ms speedup=203.7x
|
||||
N=2000 k=2000 : defective=38.723ms fixed=0.102ms speedup=381.2x
|
||||
|
||||
=== pulsar-0006: PartialRoundRobinMessageRouterImpl.getOrCreatePartialList — O(P²) CopyOnWriteArrayList.contains during partition expansion ===
|
||||
N=100 k=100 : defective=0.088ms fixed=0.004ms speedup=24.3x
|
||||
N=500 k=500 : defective=2.177ms fixed=0.021ms speedup=104.6x
|
||||
N=1000 k=1000 : defective=9.510ms fixed=0.050ms speedup=190.6x
|
||||
N=2000 k=2000 : defective=39.546ms fixed=0.096ms speedup=414.0x
|
||||
|
||||
=== pulsar-0007: CWE-407: list-scan inside loop in pulsar-0007 (generic model) ===
|
||||
N=100 k=100 : defective=0.085ms fixed=0.003ms speedup=24.4x
|
||||
N=500 k=500 : defective=2.383ms fixed=0.022ms speedup=106.3x
|
||||
N=1000 k=1000 : defective=10.250ms fixed=0.050ms speedup=203.8x
|
||||
N=2000 k=2000 : defective=37.840ms fixed=0.106ms speedup=358.5x
|
||||
|
||||
22
defects/pulsar/bench/run_all.py
Normal file
22
defects/pulsar/bench/run_all.py
Normal file
|
|
@ -0,0 +1,22 @@
|
|||
#!/usr/bin/env python3
|
||||
import importlib.util, os, sys
|
||||
BENCH_DIR = os.path.dirname(os.path.abspath(__file__))
|
||||
|
||||
def load_module(filename):
|
||||
path = os.path.join(BENCH_DIR, filename)
|
||||
spec = importlib.util.spec_from_file_location("mod", path)
|
||||
mod = importlib.util.module_from_spec(spec)
|
||||
spec.loader.exec_module(mod)
|
||||
return mod
|
||||
|
||||
all_lines = []
|
||||
for fname in ["bench-pulsar-0001.py", "bench-pulsar-0002.py", "bench-pulsar-0003.py", "bench-pulsar-0004.py", "bench-pulsar-0005.py", "bench-pulsar-0006.py", "bench-pulsar-0007.py"]:
|
||||
mod = load_module(fname)
|
||||
lines = mod.run()
|
||||
all_lines.extend(lines); all_lines.append("")
|
||||
print(); sys.stdout.flush()
|
||||
|
||||
out_path = os.path.join(BENCH_DIR, "results.txt")
|
||||
with open(out_path, "w") as f:
|
||||
f.write("\n".join(all_lines) + "\n")
|
||||
print(f"results written to {out_path}"); sys.stdout.flush()
|
||||
Loading…
Add table
Add a link
Reference in a new issue