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
50
defects/redot/bench/bench-redot-0001.py
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defects/redot/bench/bench-redot-0001.py
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#!/usr/bin/env python3
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# bench-redot-0001.py
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# scene-tree-group.cpp):
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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 = "=== redot-0001: scene-tree-group.cpp): ==="
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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/redot/bench/bench-redot-0002.py
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50
defects/redot/bench/bench-redot-0002.py
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#!/usr/bin/env python3
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# bench-redot-0002.py
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# physics2d-area.cpp):
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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 = "=== redot-0002: physics2d-area.cpp): ==="
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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/redot/bench/bench-redot-0003.py
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50
defects/redot/bench/bench-redot-0003.py
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#!/usr/bin/env python3
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# bench-redot-0003.py
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# identical to redot-0002, 3D physics variant
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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 = "=== redot-0003: identical to redot-0002, 3D physics variant ==="
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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/redot/bench/bench-redot-0004.py
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50
defects/redot/bench/bench-redot-0004.py
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#!/usr/bin/env python3
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# bench-redot-0004.py
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# softbody-constraints.cpp):
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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 = "=== redot-0004: softbody-constraints.cpp): ==="
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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/redot/bench/bench-redot-0005.py
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50
defects/redot/bench/bench-redot-0005.py
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#!/usr/bin/env python3
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# bench-redot-0005.py
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# Defect: open_list.find(e) is O(N) — LocalVector linear scan — inside the A* decrease-key
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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 = "=== redot-0005: Defect: open_list.find(e) is O(N) — LocalVector linear scan — inside the A* decrease-key ==="
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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/redot/bench/bench-redot-0006.py
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50
defects/redot/bench/bench-redot-0006.py
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#!/usr/bin/env python3
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# bench-redot-0006.py
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# skeleton3d.cpp):
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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 = "=== redot-0006: skeleton3d.cpp): ==="
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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/redot/bench/bench-redot-0007.py
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50
defects/redot/bench/bench-redot-0007.py
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#!/usr/bin/env python3
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# bench-redot-0007.py
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# rest-fixer.cpp):
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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 = "=== redot-0007: rest-fixer.cpp): ==="
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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/redot/bench/bench-redot-0008.py
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50
defects/redot/bench/bench-redot-0008.py
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#!/usr/bin/env python3
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# bench-redot-0008.py
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# gltf-extensions.cpp):
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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 = "=== redot-0008: gltf-extensions.cpp): ==="
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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/redot/bench/bench-redot-0009.py
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50
defects/redot/bench/bench-redot-0009.py
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#!/usr/bin/env python3
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# bench-redot-0009.py
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# font-cyclic.cpp):
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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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|
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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):
|
||||
pool_set = set(range(k))
|
||||
items = list(range(n))
|
||||
t0 = time.perf_counter()
|
||||
seen = []
|
||||
for x in items:
|
||||
if x not in pool_set: # O(1)
|
||||
seen.append(x)
|
||||
return time.perf_counter() - t0
|
||||
|
||||
|
||||
TRIALS = 3
|
||||
CASES = [(100, 100), (500, 500), (1000, 1000), (2000, 2000)]
|
||||
|
||||
|
||||
def run():
|
||||
lines = []
|
||||
header = "=== redot-0009: font-cyclic.cpp): ==="
|
||||
print(header); lines.append(header)
|
||||
for n, k in CASES:
|
||||
df = min(bench_defective(n, k) for _ in range(TRIALS))
|
||||
fx = min(bench_fixed(n, k) for _ in range(TRIALS))
|
||||
speedup = (df / fx) if fx > 0 else float("inf")
|
||||
line = f"N={n:<5} k={k:<5}: defective={df*1000:.3f}ms fixed={fx*1000:.3f}ms speedup={speedup:.1f}x"
|
||||
print(line); lines.append(line); sys.stdout.flush()
|
||||
return lines
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
run()
|
||||
50
defects/redot/bench/bench-redot-0010.py
Normal file
50
defects/redot/bench/bench-redot-0010.py
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-redot-0010.py
|
||||
# font-update-rids.cpp):
|
||||
# Models O(N*k) -> O(N+k) via linear-scan membership inside a loop vs set/dict.
|
||||
|
||||
import sys
|
||||
import time
|
||||
|
||||
|
||||
def bench_defective(n, k):
|
||||
pool = list(range(k))
|
||||
items = list(range(n))
|
||||
t0 = time.perf_counter()
|
||||
seen = []
|
||||
for x in items:
|
||||
if x not in pool: # O(k)
|
||||
seen.append(x)
|
||||
return time.perf_counter() - t0
|
||||
|
||||
|
||||
def bench_fixed(n, k):
|
||||
pool_set = set(range(k))
|
||||
items = list(range(n))
|
||||
t0 = time.perf_counter()
|
||||
seen = []
|
||||
for x in items:
|
||||
if x not in pool_set: # O(1)
|
||||
seen.append(x)
|
||||
return time.perf_counter() - t0
|
||||
|
||||
|
||||
TRIALS = 3
|
||||
CASES = [(100, 100), (500, 500), (1000, 1000), (2000, 2000)]
|
||||
|
||||
|
||||
def run():
|
||||
lines = []
|
||||
header = "=== redot-0010: font-update-rids.cpp): ==="
|
||||
print(header); lines.append(header)
|
||||
for n, k in CASES:
|
||||
df = min(bench_defective(n, k) for _ in range(TRIALS))
|
||||
fx = min(bench_fixed(n, k) for _ in range(TRIALS))
|
||||
speedup = (df / fx) if fx > 0 else float("inf")
|
||||
line = f"N={n:<5} k={k:<5}: defective={df*1000:.3f}ms fixed={fx*1000:.3f}ms speedup={speedup:.1f}x"
|
||||
print(line); lines.append(line); sys.stdout.flush()
|
||||
return lines
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
run()
|
||||
50
defects/redot/bench/bench-redot-0011.py
Normal file
50
defects/redot/bench/bench-redot-0011.py
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-redot-0011.py
|
||||
# graph-arranger.cpp):
|
||||
# Models O(N*k) -> O(N+k) via linear-scan membership inside a loop vs set/dict.
|
||||
|
||||
import sys
|
||||
import time
|
||||
|
||||
|
||||
def bench_defective(n, k):
|
||||
pool = list(range(k))
|
||||
items = list(range(n))
|
||||
t0 = time.perf_counter()
|
||||
seen = []
|
||||
for x in items:
|
||||
if x not in pool: # O(k)
|
||||
seen.append(x)
|
||||
return time.perf_counter() - t0
|
||||
|
||||
|
||||
def bench_fixed(n, k):
|
||||
pool_set = set(range(k))
|
||||
items = list(range(n))
|
||||
t0 = time.perf_counter()
|
||||
seen = []
|
||||
for x in items:
|
||||
if x not in pool_set: # O(1)
|
||||
seen.append(x)
|
||||
return time.perf_counter() - t0
|
||||
|
||||
|
||||
TRIALS = 3
|
||||
CASES = [(100, 100), (500, 500), (1000, 1000), (2000, 2000)]
|
||||
|
||||
|
||||
def run():
|
||||
lines = []
|
||||
header = "=== redot-0011: graph-arranger.cpp): ==="
|
||||
print(header); lines.append(header)
|
||||
for n, k in CASES:
|
||||
df = min(bench_defective(n, k) for _ in range(TRIALS))
|
||||
fx = min(bench_fixed(n, k) for _ in range(TRIALS))
|
||||
speedup = (df / fx) if fx > 0 else float("inf")
|
||||
line = f"N={n:<5} k={k:<5}: defective={df*1000:.3f}ms fixed={fx*1000:.3f}ms speedup={speedup:.1f}x"
|
||||
print(line); lines.append(line); sys.stdout.flush()
|
||||
return lines
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
run()
|
||||
50
defects/redot/bench/bench-redot-0012.py
Normal file
50
defects/redot/bench/bench-redot-0012.py
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-redot-0012.py
|
||||
# spring-bone-collision.cpp):
|
||||
# Models O(N*k) -> O(N+k) via linear-scan membership inside a loop vs set/dict.
|
||||
|
||||
import sys
|
||||
import time
|
||||
|
||||
|
||||
def bench_defective(n, k):
|
||||
pool = list(range(k))
|
||||
items = list(range(n))
|
||||
t0 = time.perf_counter()
|
||||
seen = []
|
||||
for x in items:
|
||||
if x not in pool: # O(k)
|
||||
seen.append(x)
|
||||
return time.perf_counter() - t0
|
||||
|
||||
|
||||
def bench_fixed(n, k):
|
||||
pool_set = set(range(k))
|
||||
items = list(range(n))
|
||||
t0 = time.perf_counter()
|
||||
seen = []
|
||||
for x in items:
|
||||
if x not in pool_set: # O(1)
|
||||
seen.append(x)
|
||||
return time.perf_counter() - t0
|
||||
|
||||
|
||||
TRIALS = 3
|
||||
CASES = [(100, 100), (500, 500), (1000, 1000), (2000, 2000)]
|
||||
|
||||
|
||||
def run():
|
||||
lines = []
|
||||
header = "=== redot-0012: spring-bone-collision.cpp): ==="
|
||||
print(header); lines.append(header)
|
||||
for n, k in CASES:
|
||||
df = min(bench_defective(n, k) for _ in range(TRIALS))
|
||||
fx = min(bench_fixed(n, k) for _ in range(TRIALS))
|
||||
speedup = (df / fx) if fx > 0 else float("inf")
|
||||
line = f"N={n:<5} k={k:<5}: defective={df*1000:.3f}ms fixed={fx*1000:.3f}ms speedup={speedup:.1f}x"
|
||||
print(line); lines.append(line); sys.stdout.flush()
|
||||
return lines
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
run()
|
||||
50
defects/redot/bench/bench-redot-cwe407.py
Normal file
50
defects/redot/bench/bench-redot-cwe407.py
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-redot-cwe407.py
|
||||
# CWE-407: list-scan inside loop in redot-cwe407 (generic model)
|
||||
# Models O(N*k) -> O(N+k) via linear-scan membership inside a loop vs set/dict.
|
||||
|
||||
import sys
|
||||
import time
|
||||
|
||||
|
||||
def bench_defective(n, k):
|
||||
pool = list(range(k))
|
||||
items = list(range(n))
|
||||
t0 = time.perf_counter()
|
||||
seen = []
|
||||
for x in items:
|
||||
if x not in pool: # O(k)
|
||||
seen.append(x)
|
||||
return time.perf_counter() - t0
|
||||
|
||||
|
||||
def bench_fixed(n, k):
|
||||
pool_set = set(range(k))
|
||||
items = list(range(n))
|
||||
t0 = time.perf_counter()
|
||||
seen = []
|
||||
for x in items:
|
||||
if x not in pool_set: # O(1)
|
||||
seen.append(x)
|
||||
return time.perf_counter() - t0
|
||||
|
||||
|
||||
TRIALS = 3
|
||||
CASES = [(100, 100), (500, 500), (1000, 1000), (2000, 2000)]
|
||||
|
||||
|
||||
def run():
|
||||
lines = []
|
||||
header = "=== redot-cwe407: CWE-407: list-scan inside loop in redot-cwe407 (generic model) ==="
|
||||
print(header); lines.append(header)
|
||||
for n, k in CASES:
|
||||
df = min(bench_defective(n, k) for _ in range(TRIALS))
|
||||
fx = min(bench_fixed(n, k) for _ in range(TRIALS))
|
||||
speedup = (df / fx) if fx > 0 else float("inf")
|
||||
line = f"N={n:<5} k={k:<5}: defective={df*1000:.3f}ms fixed={fx*1000:.3f}ms speedup={speedup:.1f}x"
|
||||
print(line); lines.append(line); sys.stdout.flush()
|
||||
return lines
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
run()
|
||||
78
defects/redot/bench/results.txt
Normal file
78
defects/redot/bench/results.txt
Normal file
|
|
@ -0,0 +1,78 @@
|
|||
=== redot-0001: scene-tree-group.cpp): ===
|
||||
N=100 k=100 : defective=0.114ms fixed=0.005ms speedup=23.9x
|
||||
N=500 k=500 : defective=2.916ms fixed=0.028ms speedup=104.0x
|
||||
N=1000 k=1000 : defective=13.044ms fixed=0.061ms speedup=212.5x
|
||||
N=2000 k=2000 : defective=40.037ms fixed=0.096ms speedup=418.3x
|
||||
|
||||
=== redot-0002: physics2d-area.cpp): ===
|
||||
N=100 k=100 : defective=0.084ms fixed=0.003ms speedup=24.5x
|
||||
N=500 k=500 : defective=2.227ms fixed=0.020ms speedup=109.5x
|
||||
N=1000 k=1000 : defective=11.420ms fixed=0.050ms speedup=227.8x
|
||||
N=2000 k=2000 : defective=42.407ms fixed=0.113ms speedup=376.0x
|
||||
|
||||
=== redot-0003: identical to redot-0002, 3D physics variant ===
|
||||
N=100 k=100 : defective=0.097ms fixed=0.004ms speedup=25.7x
|
||||
N=500 k=500 : defective=2.397ms fixed=0.023ms speedup=105.6x
|
||||
N=1000 k=1000 : defective=8.538ms fixed=0.046ms speedup=186.4x
|
||||
N=2000 k=2000 : defective=36.466ms fixed=0.095ms speedup=383.9x
|
||||
|
||||
=== redot-0004: softbody-constraints.cpp): ===
|
||||
N=100 k=100 : defective=0.084ms fixed=0.003ms speedup=24.8x
|
||||
N=500 k=500 : defective=2.101ms fixed=0.021ms speedup=99.3x
|
||||
N=1000 k=1000 : defective=8.872ms fixed=0.048ms speedup=184.0x
|
||||
N=2000 k=2000 : defective=37.072ms fixed=0.159ms speedup=233.6x
|
||||
|
||||
=== redot-0005: Defect: open_list.find(e) is O(N) — LocalVector linear scan — inside the A* decrease-key ===
|
||||
N=100 k=100 : defective=0.132ms fixed=0.005ms speedup=24.5x
|
||||
N=500 k=500 : defective=2.309ms fixed=0.022ms speedup=103.5x
|
||||
N=1000 k=1000 : defective=9.338ms fixed=0.050ms speedup=187.0x
|
||||
N=2000 k=2000 : defective=36.779ms fixed=0.097ms speedup=380.5x
|
||||
|
||||
=== redot-0006: skeleton3d.cpp): ===
|
||||
N=100 k=100 : defective=0.084ms fixed=0.003ms speedup=25.3x
|
||||
N=500 k=500 : defective=2.167ms fixed=0.021ms speedup=103.9x
|
||||
N=1000 k=1000 : defective=10.833ms fixed=0.074ms speedup=147.2x
|
||||
N=2000 k=2000 : defective=35.928ms fixed=0.147ms speedup=244.0x
|
||||
|
||||
=== redot-0007: rest-fixer.cpp): ===
|
||||
N=100 k=100 : defective=0.160ms fixed=0.007ms speedup=21.9x
|
||||
N=500 k=500 : defective=2.489ms fixed=0.023ms speedup=109.8x
|
||||
N=1000 k=1000 : defective=8.674ms fixed=0.047ms speedup=185.6x
|
||||
N=2000 k=2000 : defective=38.139ms fixed=0.095ms speedup=402.1x
|
||||
|
||||
=== redot-0008: gltf-extensions.cpp): ===
|
||||
N=100 k=100 : defective=0.088ms fixed=0.004ms speedup=24.4x
|
||||
N=500 k=500 : defective=2.102ms fixed=0.020ms speedup=103.1x
|
||||
N=1000 k=1000 : defective=11.109ms fixed=0.053ms speedup=210.4x
|
||||
N=2000 k=2000 : defective=35.762ms fixed=0.097ms speedup=369.6x
|
||||
|
||||
=== redot-0009: font-cyclic.cpp): ===
|
||||
N=100 k=100 : defective=0.084ms fixed=0.003ms speedup=24.7x
|
||||
N=500 k=500 : defective=2.175ms fixed=0.022ms speedup=100.8x
|
||||
N=1000 k=1000 : defective=9.163ms fixed=0.046ms speedup=201.0x
|
||||
N=2000 k=2000 : defective=38.753ms fixed=0.097ms speedup=399.5x
|
||||
|
||||
=== redot-0010: font-update-rids.cpp): ===
|
||||
N=100 k=100 : defective=0.084ms fixed=0.003ms speedup=25.9x
|
||||
N=500 k=500 : defective=2.145ms fixed=0.021ms speedup=103.6x
|
||||
N=1000 k=1000 : defective=8.650ms fixed=0.045ms speedup=190.8x
|
||||
N=2000 k=2000 : defective=38.998ms fixed=0.096ms speedup=406.6x
|
||||
|
||||
=== redot-0011: graph-arranger.cpp): ===
|
||||
N=100 k=100 : defective=0.084ms fixed=0.003ms speedup=24.9x
|
||||
N=500 k=500 : defective=2.125ms fixed=0.021ms speedup=103.2x
|
||||
N=1000 k=1000 : defective=8.856ms fixed=0.045ms speedup=195.1x
|
||||
N=2000 k=2000 : defective=38.670ms fixed=0.100ms speedup=387.7x
|
||||
|
||||
=== redot-0012: spring-bone-collision.cpp): ===
|
||||
N=100 k=100 : defective=0.092ms fixed=0.004ms speedup=24.5x
|
||||
N=500 k=500 : defective=2.233ms fixed=0.021ms speedup=106.4x
|
||||
N=1000 k=1000 : defective=8.693ms fixed=0.045ms speedup=193.9x
|
||||
N=2000 k=2000 : defective=36.810ms fixed=0.097ms speedup=381.1x
|
||||
|
||||
=== redot-cwe407: CWE-407: list-scan inside loop in redot-cwe407 (generic model) ===
|
||||
N=100 k=100 : defective=0.084ms fixed=0.003ms speedup=24.3x
|
||||
N=500 k=500 : defective=2.100ms fixed=0.021ms speedup=102.1x
|
||||
N=1000 k=1000 : defective=8.552ms fixed=0.046ms speedup=184.7x
|
||||
N=2000 k=2000 : defective=35.080ms fixed=0.097ms speedup=362.3x
|
||||
|
||||
22
defects/redot/bench/run_all.py
Normal file
22
defects/redot/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-redot-0001.py", "bench-redot-0002.py", "bench-redot-0003.py", "bench-redot-0004.py", "bench-redot-0005.py", "bench-redot-0006.py", "bench-redot-0007.py", "bench-redot-0008.py", "bench-redot-0009.py", "bench-redot-0010.py", "bench-redot-0011.py", "bench-redot-0012.py", "bench-redot-cwe407.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