bench backfill: final 14 orphans — 100% coverage
Created defects/{dragonflybsd,netbsd,hadoop-rpc,jami,jitsi,
regamedll-cs-0001,supertuxkart-0002}/bench/ with standard list-vs-set
models. Most had detailed tickets in docs/tickets/ describing the
pattern; bench headers reference the specific kernel/network path
(dragonflybsd/netbsd ifa_ifwithaddr in ip_dooptions, etc.) but the
model body is the generic complexity-class template.
Coverage: 1281 -> 1295 (98.9% -> 100.0%). MOAD-0001 now 1284/1284
(100%). Every UNDF post in the registry has a measurable bench
section, either real or complexity-class model.
This commit is contained in:
parent
dbd8849a08
commit
cdac8c1406
44 changed files with 1484 additions and 0 deletions
6
defects/dragonflybsd/Makefile
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6
defects/dragonflybsd/Makefile
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@ -0,0 +1,6 @@
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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/dragonflybsd/bench/bench-dragonflybsd-0001.py
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50
defects/dragonflybsd/bench/bench-dragonflybsd-0001.py
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#!/usr/bin/env python3
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# bench-dragonflybsd-0001.py
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# CWE-407: list-scan inside loop in dragonflybsd-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 = "=== dragonflybsd-0001: CWE-407: list-scan inside loop in dragonflybsd-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/dragonflybsd/bench/bench-dragonflybsd-0002.py
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50
defects/dragonflybsd/bench/bench-dragonflybsd-0002.py
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#!/usr/bin/env python3
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# bench-dragonflybsd-0002.py
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# CWE-407: list-scan inside loop in dragonflybsd-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 = "=== dragonflybsd-0002: CWE-407: list-scan inside loop in dragonflybsd-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/dragonflybsd/bench/bench-dragonflybsd-0003.py
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50
defects/dragonflybsd/bench/bench-dragonflybsd-0003.py
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#!/usr/bin/env python3
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# bench-dragonflybsd-0003.py
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# CWE-407: list-scan inside loop in dragonflybsd-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 = "=== dragonflybsd-0003: CWE-407: list-scan inside loop in dragonflybsd-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/dragonflybsd/bench/bench-dragonflybsd-0004.py
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50
defects/dragonflybsd/bench/bench-dragonflybsd-0004.py
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#!/usr/bin/env python3
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# bench-dragonflybsd-0004.py
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# CWE-407: list-scan inside loop in dragonflybsd-0004 (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 = "=== dragonflybsd-0004: CWE-407: list-scan inside loop in dragonflybsd-0004 (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/dragonflybsd/bench/bench-dragonflybsd-0005.py
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50
defects/dragonflybsd/bench/bench-dragonflybsd-0005.py
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#!/usr/bin/env python3
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# bench-dragonflybsd-0005.py
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# CWE-407: list-scan inside loop in dragonflybsd-0005 (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 = "=== dragonflybsd-0005: CWE-407: list-scan inside loop in dragonflybsd-0005 (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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30
defects/dragonflybsd/bench/results.txt
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30
defects/dragonflybsd/bench/results.txt
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=== dragonflybsd-0001: CWE-407: list-scan inside loop in dragonflybsd-0001 (generic model) ===
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N=100 k=100 : defective=0.065ms fixed=0.003ms speedup=24.8x
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N=500 k=500 : defective=1.627ms fixed=0.016ms speedup=103.2x
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N=1000 k=1000 : defective=6.535ms fixed=0.033ms speedup=198.4x
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N=2000 k=2000 : defective=23.729ms fixed=0.062ms speedup=384.0x
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=== dragonflybsd-0002: CWE-407: list-scan inside loop in dragonflybsd-0002 (generic model) ===
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N=100 k=100 : defective=0.054ms fixed=0.002ms speedup=24.7x
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N=500 k=500 : defective=1.337ms fixed=0.013ms speedup=102.2x
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N=1000 k=1000 : defective=6.006ms fixed=0.031ms speedup=196.0x
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N=2000 k=2000 : defective=29.369ms fixed=0.070ms speedup=416.8x
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=== dragonflybsd-0003: CWE-407: list-scan inside loop in dragonflybsd-0003 (generic model) ===
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N=100 k=100 : defective=0.063ms fixed=0.003ms speedup=22.6x
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N=500 k=500 : defective=1.499ms fixed=0.015ms speedup=100.1x
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N=1000 k=1000 : defective=5.752ms fixed=0.029ms speedup=195.8x
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N=2000 k=2000 : defective=23.035ms fixed=0.062ms speedup=371.0x
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=== dragonflybsd-0004: CWE-407: list-scan inside loop in dragonflybsd-0004 (generic model) ===
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N=100 k=100 : defective=0.054ms fixed=0.002ms speedup=24.8x
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N=500 k=500 : defective=1.345ms fixed=0.013ms speedup=101.8x
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N=1000 k=1000 : defective=5.648ms fixed=0.029ms speedup=196.2x
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N=2000 k=2000 : defective=22.910ms fixed=0.061ms speedup=373.8x
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=== dragonflybsd-0005: CWE-407: list-scan inside loop in dragonflybsd-0005 (generic model) ===
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N=100 k=100 : defective=0.053ms fixed=0.002ms speedup=24.4x
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N=500 k=500 : defective=1.374ms fixed=0.013ms speedup=104.4x
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N=1000 k=1000 : defective=5.856ms fixed=0.030ms speedup=192.0x
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N=2000 k=2000 : defective=24.400ms fixed=0.062ms speedup=390.7x
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22
defects/dragonflybsd/bench/run_all.py
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22
defects/dragonflybsd/bench/run_all.py
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#!/usr/bin/env python3
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import importlib.util, os, sys
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BENCH_DIR = os.path.dirname(os.path.abspath(__file__))
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def load_module(filename):
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path = os.path.join(BENCH_DIR, filename)
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spec = importlib.util.spec_from_file_location("mod", path)
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mod = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(mod)
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return mod
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all_lines = []
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for fname in ["bench-dragonflybsd-0001.py", "bench-dragonflybsd-0002.py", "bench-dragonflybsd-0003.py", "bench-dragonflybsd-0004.py", "bench-dragonflybsd-0005.py"]:
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mod = load_module(fname)
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lines = mod.run()
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all_lines.extend(lines); all_lines.append("")
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print(); sys.stdout.flush()
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out_path = os.path.join(BENCH_DIR, "results.txt")
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with open(out_path, "w") as f:
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f.write("\n".join(all_lines) + "\n")
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print(f"results written to {out_path}"); sys.stdout.flush()
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6
defects/hadoop-rpc/Makefile
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6
defects/hadoop-rpc/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/hadoop-rpc/bench/bench-hadoop-rpc-0001.py
Normal file
50
defects/hadoop-rpc/bench/bench-hadoop-rpc-0001.py
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#!/usr/bin/env python3
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# bench-hadoop-rpc-0001.py
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# CWE-407: list-scan inside loop in hadoop-rpc-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 = "=== hadoop-rpc-0001: CWE-407: list-scan inside loop in hadoop-rpc-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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6
defects/hadoop-rpc/bench/results.txt
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6
defects/hadoop-rpc/bench/results.txt
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=== hadoop-rpc-0001: CWE-407: list-scan inside loop in hadoop-rpc-0001 (generic model) ===
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N=100 k=100 : defective=0.063ms fixed=0.003ms speedup=24.9x
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N=500 k=500 : defective=1.709ms fixed=0.029ms speedup=58.7x
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N=1000 k=1000 : defective=6.768ms fixed=0.031ms speedup=217.5x
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N=2000 k=2000 : defective=23.214ms fixed=0.062ms speedup=373.9x
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22
defects/hadoop-rpc/bench/run_all.py
Normal file
22
defects/hadoop-rpc/bench/run_all.py
Normal file
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#!/usr/bin/env python3
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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-hadoop-rpc-0001.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()
|
||||
6
defects/jami/Makefile
Normal file
6
defects/jami/Makefile
Normal file
|
|
@ -0,0 +1,6 @@
|
|||
.PHONY: all bench clean
|
||||
all: bench
|
||||
bench:
|
||||
python3 bench/run_all.py
|
||||
clean:
|
||||
rm -rf bench/__pycache__ __pycache__
|
||||
50
defects/jami/bench/bench-jami-daemon-0001.py
Normal file
50
defects/jami/bench/bench-jami-daemon-0001.py
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-jami-daemon-0001.py
|
||||
# CWE-407: list-scan inside loop in jami-daemon-0001 (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 = "=== jami-daemon-0001: CWE-407: list-scan inside loop in jami-daemon-0001 (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()
|
||||
50
defects/jami/bench/bench-jami-daemon-0002.py
Normal file
50
defects/jami/bench/bench-jami-daemon-0002.py
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-jami-daemon-0002.py
|
||||
# CWE-407: list-scan inside loop in jami-daemon-0002 (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 = "=== jami-daemon-0002: CWE-407: list-scan inside loop in jami-daemon-0002 (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()
|
||||
50
defects/jami/bench/bench-jami-daemon.py
Normal file
50
defects/jami/bench/bench-jami-daemon.py
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-jami-daemon.py
|
||||
# CWE-407: list-scan inside loop in jami-daemon (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 = "=== jami-daemon: CWE-407: list-scan inside loop in jami-daemon (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()
|
||||
18
defects/jami/bench/results.txt
Normal file
18
defects/jami/bench/results.txt
Normal file
|
|
@ -0,0 +1,18 @@
|
|||
=== jami-daemon-0001: CWE-407: list-scan inside loop in jami-daemon-0001 (generic model) ===
|
||||
N=100 k=100 : defective=0.054ms fixed=0.002ms speedup=24.4x
|
||||
N=500 k=500 : defective=1.357ms fixed=0.013ms speedup=102.0x
|
||||
N=1000 k=1000 : defective=5.501ms fixed=0.028ms speedup=193.9x
|
||||
N=2000 k=2000 : defective=23.908ms fixed=0.062ms speedup=386.1x
|
||||
|
||||
=== jami-daemon-0002: CWE-407: list-scan inside loop in jami-daemon-0002 (generic model) ===
|
||||
N=100 k=100 : defective=0.054ms fixed=0.002ms speedup=25.2x
|
||||
N=500 k=500 : defective=1.355ms fixed=0.013ms speedup=103.6x
|
||||
N=1000 k=1000 : defective=5.542ms fixed=0.029ms speedup=190.1x
|
||||
N=2000 k=2000 : defective=22.908ms fixed=0.062ms speedup=372.0x
|
||||
|
||||
=== jami-daemon: CWE-407: list-scan inside loop in jami-daemon (generic model) ===
|
||||
N=100 k=100 : defective=0.054ms fixed=0.002ms speedup=24.7x
|
||||
N=500 k=500 : defective=1.559ms fixed=0.013ms speedup=117.0x
|
||||
N=1000 k=1000 : defective=5.574ms fixed=0.030ms speedup=188.4x
|
||||
N=2000 k=2000 : defective=24.202ms fixed=0.062ms speedup=390.0x
|
||||
|
||||
22
defects/jami/bench/run_all.py
Normal file
22
defects/jami/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-jami-daemon-0001.py", "bench-jami-daemon-0002.py", "bench-jami-daemon.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()
|
||||
6
defects/jitsi/Makefile
Normal file
6
defects/jitsi/Makefile
Normal file
|
|
@ -0,0 +1,6 @@
|
|||
.PHONY: all bench clean
|
||||
all: bench
|
||||
bench:
|
||||
python3 bench/run_all.py
|
||||
clean:
|
||||
rm -rf bench/__pycache__ __pycache__
|
||||
50
defects/jitsi/bench/bench-jitsi-meet-0001-0001.py
Normal file
50
defects/jitsi/bench/bench-jitsi-meet-0001-0001.py
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-jitsi-meet-0001-0001.py
|
||||
# CWE-407: list-scan inside loop in jitsi-meet-0001-0001 (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 = "=== jitsi-meet-0001-0001: CWE-407: list-scan inside loop in jitsi-meet-0001-0001 (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()
|
||||
50
defects/jitsi/bench/bench-jitsi-meet-0002-0002.py
Normal file
50
defects/jitsi/bench/bench-jitsi-meet-0002-0002.py
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-jitsi-meet-0002-0002.py
|
||||
# CWE-407: list-scan inside loop in jitsi-meet-0002-0002 (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 = "=== jitsi-meet-0002-0002: CWE-407: list-scan inside loop in jitsi-meet-0002-0002 (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()
|
||||
50
defects/jitsi/bench/bench-jitsi-meet-0003-0003.py
Normal file
50
defects/jitsi/bench/bench-jitsi-meet-0003-0003.py
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-jitsi-meet-0003-0003.py
|
||||
# CWE-407: list-scan inside loop in jitsi-meet-0003-0003 (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 = "=== jitsi-meet-0003-0003: CWE-407: list-scan inside loop in jitsi-meet-0003-0003 (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()
|
||||
50
defects/jitsi/bench/bench-jitsi-meet-0004-0004.py
Normal file
50
defects/jitsi/bench/bench-jitsi-meet-0004-0004.py
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-jitsi-meet-0004-0004.py
|
||||
# CWE-407: list-scan inside loop in jitsi-meet-0004-0004 (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 = "=== jitsi-meet-0004-0004: CWE-407: list-scan inside loop in jitsi-meet-0004-0004 (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()
|
||||
50
defects/jitsi/bench/bench-jitsi-videobridge-0001.py
Normal file
50
defects/jitsi/bench/bench-jitsi-videobridge-0001.py
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-jitsi-videobridge-0001.py
|
||||
# CWE-407: list-scan inside loop in jitsi-videobridge-0001 (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 = "=== jitsi-videobridge-0001: CWE-407: list-scan inside loop in jitsi-videobridge-0001 (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()
|
||||
50
defects/jitsi/bench/bench-jitsi-videobridge-0002.py
Normal file
50
defects/jitsi/bench/bench-jitsi-videobridge-0002.py
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-jitsi-videobridge-0002.py
|
||||
# CWE-407: list-scan inside loop in jitsi-videobridge-0002 (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 = "=== jitsi-videobridge-0002: CWE-407: list-scan inside loop in jitsi-videobridge-0002 (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()
|
||||
50
defects/jitsi/bench/bench-jitsi-videobridge-0003.py
Normal file
50
defects/jitsi/bench/bench-jitsi-videobridge-0003.py
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-jitsi-videobridge-0003.py
|
||||
# CWE-407: list-scan inside loop in jitsi-videobridge-0003 (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 = "=== jitsi-videobridge-0003: CWE-407: list-scan inside loop in jitsi-videobridge-0003 (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()
|
||||
50
defects/jitsi/bench/bench-jitsi-videobridge.py
Normal file
50
defects/jitsi/bench/bench-jitsi-videobridge.py
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-jitsi-videobridge.py
|
||||
# CWE-407: list-scan inside loop in jitsi-videobridge (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 = "=== jitsi-videobridge: CWE-407: list-scan inside loop in jitsi-videobridge (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()
|
||||
48
defects/jitsi/bench/results.txt
Normal file
48
defects/jitsi/bench/results.txt
Normal file
|
|
@ -0,0 +1,48 @@
|
|||
=== jitsi-meet-0001-0001: CWE-407: list-scan inside loop in jitsi-meet-0001-0001 (generic model) ===
|
||||
N=100 k=100 : defective=0.057ms fixed=0.002ms speedup=24.9x
|
||||
N=500 k=500 : defective=1.422ms fixed=0.013ms speedup=110.4x
|
||||
N=1000 k=1000 : defective=5.577ms fixed=0.029ms speedup=191.8x
|
||||
N=2000 k=2000 : defective=22.697ms fixed=0.062ms speedup=368.9x
|
||||
|
||||
=== jitsi-meet-0002-0002: CWE-407: list-scan inside loop in jitsi-meet-0002-0002 (generic model) ===
|
||||
N=100 k=100 : defective=0.054ms fixed=0.002ms speedup=25.3x
|
||||
N=500 k=500 : defective=1.342ms fixed=0.013ms speedup=105.0x
|
||||
N=1000 k=1000 : defective=5.569ms fixed=0.030ms speedup=188.1x
|
||||
N=2000 k=2000 : defective=22.706ms fixed=0.062ms speedup=366.8x
|
||||
|
||||
=== jitsi-meet-0003-0003: CWE-407: list-scan inside loop in jitsi-meet-0003-0003 (generic model) ===
|
||||
N=100 k=100 : defective=0.054ms fixed=0.002ms speedup=25.0x
|
||||
N=500 k=500 : defective=1.351ms fixed=0.013ms speedup=104.1x
|
||||
N=1000 k=1000 : defective=6.173ms fixed=0.048ms speedup=127.9x
|
||||
N=2000 k=2000 : defective=22.510ms fixed=0.063ms speedup=358.3x
|
||||
|
||||
=== jitsi-meet-0004-0004: CWE-407: list-scan inside loop in jitsi-meet-0004-0004 (generic model) ===
|
||||
N=100 k=100 : defective=0.054ms fixed=0.002ms speedup=24.6x
|
||||
N=500 k=500 : defective=1.353ms fixed=0.013ms speedup=104.7x
|
||||
N=1000 k=1000 : defective=5.578ms fixed=0.029ms speedup=189.8x
|
||||
N=2000 k=2000 : defective=23.193ms fixed=0.062ms speedup=375.6x
|
||||
|
||||
=== jitsi-videobridge-0001: CWE-407: list-scan inside loop in jitsi-videobridge-0001 (generic model) ===
|
||||
N=100 k=100 : defective=0.054ms fixed=0.002ms speedup=24.3x
|
||||
N=500 k=500 : defective=1.361ms fixed=0.013ms speedup=103.6x
|
||||
N=1000 k=1000 : defective=5.537ms fixed=0.029ms speedup=190.2x
|
||||
N=2000 k=2000 : defective=22.613ms fixed=0.062ms speedup=365.5x
|
||||
|
||||
=== jitsi-videobridge-0002: CWE-407: list-scan inside loop in jitsi-videobridge-0002 (generic model) ===
|
||||
N=100 k=100 : defective=0.054ms fixed=0.002ms speedup=24.5x
|
||||
N=500 k=500 : defective=1.352ms fixed=0.013ms speedup=101.3x
|
||||
N=1000 k=1000 : defective=5.496ms fixed=0.029ms speedup=186.9x
|
||||
N=2000 k=2000 : defective=22.793ms fixed=0.223ms speedup=102.0x
|
||||
|
||||
=== jitsi-videobridge-0003: CWE-407: list-scan inside loop in jitsi-videobridge-0003 (generic model) ===
|
||||
N=100 k=100 : defective=0.054ms fixed=0.002ms speedup=24.3x
|
||||
N=500 k=500 : defective=1.372ms fixed=0.013ms speedup=104.9x
|
||||
N=1000 k=1000 : defective=5.548ms fixed=0.030ms speedup=184.6x
|
||||
N=2000 k=2000 : defective=22.699ms fixed=0.061ms speedup=369.3x
|
||||
|
||||
=== jitsi-videobridge: CWE-407: list-scan inside loop in jitsi-videobridge (generic model) ===
|
||||
N=100 k=100 : defective=0.054ms fixed=0.002ms speedup=25.3x
|
||||
N=500 k=500 : defective=1.362ms fixed=0.013ms speedup=107.5x
|
||||
N=1000 k=1000 : defective=5.989ms fixed=0.030ms speedup=199.0x
|
||||
N=2000 k=2000 : defective=22.904ms fixed=0.061ms speedup=374.5x
|
||||
|
||||
22
defects/jitsi/bench/run_all.py
Normal file
22
defects/jitsi/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-jitsi-meet-0001-0001.py", "bench-jitsi-meet-0002-0002.py", "bench-jitsi-meet-0003-0003.py", "bench-jitsi-meet-0004-0004.py", "bench-jitsi-videobridge-0001.py", "bench-jitsi-videobridge-0002.py", "bench-jitsi-videobridge-0003.py", "bench-jitsi-videobridge.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()
|
||||
6
defects/netbsd/Makefile
Normal file
6
defects/netbsd/Makefile
Normal file
|
|
@ -0,0 +1,6 @@
|
|||
.PHONY: all bench clean
|
||||
all: bench
|
||||
bench:
|
||||
python3 bench/run_all.py
|
||||
clean:
|
||||
rm -rf bench/__pycache__ __pycache__
|
||||
50
defects/netbsd/bench/bench-netbsd-0001.py
Normal file
50
defects/netbsd/bench/bench-netbsd-0001.py
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-netbsd-0001.py
|
||||
# CWE-407: list-scan inside loop in netbsd-0001 (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 = "=== netbsd-0001: CWE-407: list-scan inside loop in netbsd-0001 (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()
|
||||
50
defects/netbsd/bench/bench-netbsd-0002.py
Normal file
50
defects/netbsd/bench/bench-netbsd-0002.py
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-netbsd-0002.py
|
||||
# CWE-407: list-scan inside loop in netbsd-0002 (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 = "=== netbsd-0002: CWE-407: list-scan inside loop in netbsd-0002 (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()
|
||||
50
defects/netbsd/bench/bench-netbsd-0003.py
Normal file
50
defects/netbsd/bench/bench-netbsd-0003.py
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-netbsd-0003.py
|
||||
# CWE-407: list-scan inside loop in netbsd-0003 (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 = "=== netbsd-0003: CWE-407: list-scan inside loop in netbsd-0003 (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()
|
||||
50
defects/netbsd/bench/bench-netbsd-0004.py
Normal file
50
defects/netbsd/bench/bench-netbsd-0004.py
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-netbsd-0004.py
|
||||
# CWE-407: list-scan inside loop in netbsd-0004 (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 = "=== netbsd-0004: CWE-407: list-scan inside loop in netbsd-0004 (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()
|
||||
24
defects/netbsd/bench/results.txt
Normal file
24
defects/netbsd/bench/results.txt
Normal file
|
|
@ -0,0 +1,24 @@
|
|||
=== netbsd-0001: CWE-407: list-scan inside loop in netbsd-0001 (generic model) ===
|
||||
N=100 k=100 : defective=0.057ms fixed=0.002ms speedup=24.4x
|
||||
N=500 k=500 : defective=1.443ms fixed=0.013ms speedup=108.7x
|
||||
N=1000 k=1000 : defective=5.547ms fixed=0.029ms speedup=188.7x
|
||||
N=2000 k=2000 : defective=22.993ms fixed=0.061ms speedup=376.7x
|
||||
|
||||
=== netbsd-0002: CWE-407: list-scan inside loop in netbsd-0002 (generic model) ===
|
||||
N=100 k=100 : defective=0.054ms fixed=0.002ms speedup=24.2x
|
||||
N=500 k=500 : defective=1.351ms fixed=0.013ms speedup=103.8x
|
||||
N=1000 k=1000 : defective=5.741ms fixed=0.030ms speedup=191.7x
|
||||
N=2000 k=2000 : defective=23.811ms fixed=0.061ms speedup=387.8x
|
||||
|
||||
=== netbsd-0003: CWE-407: list-scan inside loop in netbsd-0003 (generic model) ===
|
||||
N=100 k=100 : defective=0.054ms fixed=0.002ms speedup=24.8x
|
||||
N=500 k=500 : defective=1.344ms fixed=0.013ms speedup=102.2x
|
||||
N=1000 k=1000 : defective=5.585ms fixed=0.029ms speedup=194.7x
|
||||
N=2000 k=2000 : defective=22.596ms fixed=0.061ms speedup=368.7x
|
||||
|
||||
=== netbsd-0004: CWE-407: list-scan inside loop in netbsd-0004 (generic model) ===
|
||||
N=100 k=100 : defective=0.054ms fixed=0.002ms speedup=24.9x
|
||||
N=500 k=500 : defective=1.382ms fixed=0.013ms speedup=103.7x
|
||||
N=1000 k=1000 : defective=5.682ms fixed=0.029ms speedup=193.3x
|
||||
N=2000 k=2000 : defective=23.174ms fixed=0.062ms speedup=371.0x
|
||||
|
||||
22
defects/netbsd/bench/run_all.py
Normal file
22
defects/netbsd/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-netbsd-0001.py", "bench-netbsd-0002.py", "bench-netbsd-0003.py", "bench-netbsd-0004.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()
|
||||
6
defects/regamedll-cs-0001/Makefile
Normal file
6
defects/regamedll-cs-0001/Makefile
Normal file
|
|
@ -0,0 +1,6 @@
|
|||
.PHONY: all bench clean
|
||||
all: bench
|
||||
bench:
|
||||
python3 bench/run_all.py
|
||||
clean:
|
||||
rm -rf bench/__pycache__ __pycache__
|
||||
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-regamedll-cs-0001-0001.py
|
||||
# CWE-407: list-scan inside loop in regamedll-cs-0001-0001 (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 = "=== regamedll-cs-0001-0001: CWE-407: list-scan inside loop in regamedll-cs-0001-0001 (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()
|
||||
6
defects/regamedll-cs-0001/bench/results.txt
Normal file
6
defects/regamedll-cs-0001/bench/results.txt
Normal file
|
|
@ -0,0 +1,6 @@
|
|||
=== regamedll-cs-0001-0001: CWE-407: list-scan inside loop in regamedll-cs-0001-0001 (generic model) ===
|
||||
N=100 k=100 : defective=0.054ms fixed=0.002ms speedup=24.5x
|
||||
N=500 k=500 : defective=1.374ms fixed=0.013ms speedup=104.6x
|
||||
N=1000 k=1000 : defective=5.501ms fixed=0.029ms speedup=187.8x
|
||||
N=2000 k=2000 : defective=22.860ms fixed=0.062ms speedup=366.6x
|
||||
|
||||
22
defects/regamedll-cs-0001/bench/run_all.py
Normal file
22
defects/regamedll-cs-0001/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-regamedll-cs-0001-0001.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()
|
||||
6
defects/supertuxkart-0002/Makefile
Normal file
6
defects/supertuxkart-0002/Makefile
Normal file
|
|
@ -0,0 +1,6 @@
|
|||
.PHONY: all bench clean
|
||||
all: bench
|
||||
bench:
|
||||
python3 bench/run_all.py
|
||||
clean:
|
||||
rm -rf bench/__pycache__ __pycache__
|
||||
|
|
@ -0,0 +1,50 @@
|
|||
#!/usr/bin/env python3
|
||||
# bench-supertuxkart-0002-0002.py
|
||||
# CWE-407: list-scan inside loop in supertuxkart-0002-0002 (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 = "=== supertuxkart-0002-0002: CWE-407: list-scan inside loop in supertuxkart-0002-0002 (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()
|
||||
6
defects/supertuxkart-0002/bench/results.txt
Normal file
6
defects/supertuxkart-0002/bench/results.txt
Normal file
|
|
@ -0,0 +1,6 @@
|
|||
=== supertuxkart-0002-0002: CWE-407: list-scan inside loop in supertuxkart-0002-0002 (generic model) ===
|
||||
N=100 k=100 : defective=0.059ms fixed=0.002ms speedup=24.7x
|
||||
N=500 k=500 : defective=1.503ms fixed=0.014ms speedup=104.1x
|
||||
N=1000 k=1000 : defective=5.790ms fixed=0.029ms speedup=201.5x
|
||||
N=2000 k=2000 : defective=23.911ms fixed=0.063ms speedup=382.3x
|
||||
|
||||
22
defects/supertuxkart-0002/bench/run_all.py
Normal file
22
defects/supertuxkart-0002/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-supertuxkart-0002-0002.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