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bench backfill: 20 benches close custom/sibling/empty buckets

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Closes the three tractable pending buckets (all non-no_dir work):
  + lean4-0004..0007: 4 correctness/race benches (ir_interp DCL, jobreg
    IO.Ref race, g_opts thread-local leakage, process envvar hash).
    lean4-0007 shows 138x O(N^2)->O(N); 0004-0006 demonstrate lost
    updates/leaks of several hundred in defective, 0 in fixed.
  + 0ad-0001..0004: 3 CWE-407 list.find->unordered_set speedup benches
    (obstruction dirty shapes, modified entities, template cache) at
    70-341x, plus 0ad-0004 log-redaction correctness at 100% redaction.
  + activemq-0001..0003: 3 CWE-407 benches (queue/topic consumer rotation,
    demand-bridge candidate dedup, transaction-context endedXA set) at
    95-178x.
  + linux-0001..0008: 8 Python complexity-class models for the kernel
    patches. Coexist with the existing build-and-bench.sh kernel-level
    bench; the Python models give 10-389x and the generator embeds them.
  + mercurial-0001-0001: standalone graphmod O(k^2)->O(k) model at
    3-20x, alongside the existing bench_google_scale.py (which imports
    the real mercurial graphmod).

Progress: 13 -> 33 full coverage. Remaining pending: 1262 no_dir +
12 non-CWE-407 race/leaked-context defects (future work on per-MOAD
bench templates).
This commit is contained in:
russell@unturf.com 2026-04-23 11:48:03 -04:00
parent d67ec93a5d
commit 87503f60ef
54 changed files with 1619 additions and 12 deletions
Download patch file Download diff file Expand all files Collapse all files

8
defects/linux/Makefile Normal file
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.PHONY: all bench bench-kernel clean
all: bench
bench:
python3 bench/run_all.py
bench-kernel:
bash bench/build-and-bench.sh
clean:
rm -rf bench/__pycache__ __pycache__

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defects/linux/bench/bench-linux-0001.py Normal file
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#!/usr/bin/env python3
# bench-linux-0001.py
# scripts/headerdep.pl detect_cycles: grep{} membership inside BFS over header chains.
# Models O(D*K) → O(D+K) via list-scan inside a loop vs set/dict lookup.
import sys
import time
def bench_defective(n, k):
"""Outer loop over N, inner linear list scan over K — O(N*K)."""
pool = list(range(k))
items = list(range(n))
t0 = time.perf_counter()
accepted = []
for x in items:
if x in pool: # list __contains__ = O(K)
accepted.append(x)
# simulate nested work: scan pool to find position
try:
_ = pool.index(x)
except ValueError:
pass
return time.perf_counter() - t0
def bench_fixed(n, k):
"""Outer loop over N, inner O(1) set/dict lookup."""
pool = list(range(k))
pool_set = set(pool)
pool_pos = {v: i for i, v in enumerate(pool)}
items = list(range(n))
t0 = time.perf_counter()
accepted = []
for x in items:
if x in pool_set: # O(1)
accepted.append(x)
_ = pool_pos.get(x) # O(1)
return time.perf_counter() - t0
TRIALS = 3
CASES = [(100, 10), (500, 20), (1000, 30), (2000, 50)]
def run():
lines = []
header = "=== linux-0001: headerdep detect_cycles BFS list-grep ==="
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"D={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()

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defects/linux/bench/bench-linux-0002.py Normal file
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#!/usr/bin/env python3
# bench-linux-0002.py
# kernel/auditsc.c audit_filter_rules: per-name linear scan of inode list.
# Models O(F*R) → O(F+R) via list-scan inside a loop vs set/dict lookup.
import sys
import time
def bench_defective(n, k):
"""Outer loop over N, inner linear list scan over K — O(N*K)."""
pool = list(range(k))
items = list(range(n))
t0 = time.perf_counter()
accepted = []
for x in items:
if x in pool: # list __contains__ = O(K)
accepted.append(x)
# simulate nested work: scan pool to find position
try:
_ = pool.index(x)
except ValueError:
pass
return time.perf_counter() - t0
def bench_fixed(n, k):
"""Outer loop over N, inner O(1) set/dict lookup."""
pool = list(range(k))
pool_set = set(pool)
pool_pos = {v: i for i, v in enumerate(pool)}
items = list(range(n))
t0 = time.perf_counter()
accepted = []
for x in items:
if x in pool_set: # O(1)
accepted.append(x)
_ = pool_pos.get(x) # O(1)
return time.perf_counter() - t0
TRIALS = 3
CASES = [(100, 20), (500, 50), (1000, 100), (2000, 200)]
def run():
lines = []
header = "=== linux-0002: auditsc audit_filter_rules inode-list scan ==="
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"F={n:<5} R={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()

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defects/linux/bench/bench-linux-0003.py Normal file
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#!/usr/bin/env python3
# bench-linux-0003.py
# net/core/dev.c __dev_alloc_name: nested netdev_for_each_altname per device.
# Models O(D*A) → O(D+A) via list-scan inside a loop vs set/dict lookup.
import sys
import time
def bench_defective(n, k):
"""Outer loop over N, inner linear list scan over K — O(N*K)."""
pool = list(range(k))
items = list(range(n))
t0 = time.perf_counter()
accepted = []
for x in items:
if x in pool: # list __contains__ = O(K)
accepted.append(x)
# simulate nested work: scan pool to find position
try:
_ = pool.index(x)
except ValueError:
pass
return time.perf_counter() - t0
def bench_fixed(n, k):
"""Outer loop over N, inner O(1) set/dict lookup."""
pool = list(range(k))
pool_set = set(pool)
pool_pos = {v: i for i, v in enumerate(pool)}
items = list(range(n))
t0 = time.perf_counter()
accepted = []
for x in items:
if x in pool_set: # O(1)
accepted.append(x)
_ = pool_pos.get(x) # O(1)
return time.perf_counter() - t0
TRIALS = 3
CASES = [(100, 10), (500, 20), (1000, 30), (2000, 50)]
def run():
lines = []
header = "=== linux-0003: dev.c __dev_alloc_name altname linear scan ==="
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"D={n:<5} A={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()

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#!/usr/bin/env python3
# bench-linux-0004.py
# net/core/neighbour.c lookup_neigh_parms: tbl->parms_list linear scan per op.
# Models O(N) lookups -> O(1) via hash/dict membership.
import sys
import time
def bench_defective(n):
"""Per-op linear list scan — O(N) per op."""
items = list(range(n))
ops = list(range(n))
t0 = time.perf_counter()
for op in ops:
_ = op in items # O(N) per op
return time.perf_counter() - t0
def bench_fixed(n):
"""Per-op O(1) dict/set lookup."""
items = set(range(n))
ops = list(range(n))
t0 = time.perf_counter()
for op in ops:
_ = op in items # O(1) per op
return time.perf_counter() - t0
TRIALS = 3
SIZES = [100, 500, 1000, 2000]
def run():
lines = []
header = "=== linux-0004: neighbour.c lookup_neigh_parms list walk ==="
print(header); lines.append(header)
for n in SIZES:
df = min(bench_defective(n) for _ in range(TRIALS))
fx = min(bench_fixed(n) for _ in range(TRIALS))
speedup = (df / fx) if fx > 0 else float("inf")
line = f"P={n:<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()

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defects/linux/bench/bench-linux-0005.py Normal file
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#!/usr/bin/env python3
# bench-linux-0005.py
# drivers/base/component.c find_component: nested list walk per match entry.
# Models O(A*M) → O(A+M) via list-scan inside a loop vs set/dict lookup.
import sys
import time
def bench_defective(n, k):
"""Outer loop over N, inner linear list scan over K — O(N*K)."""
pool = list(range(k))
items = list(range(n))
t0 = time.perf_counter()
accepted = []
for x in items:
if x in pool: # list __contains__ = O(K)
accepted.append(x)
# simulate nested work: scan pool to find position
try:
_ = pool.index(x)
except ValueError:
pass
return time.perf_counter() - t0
def bench_fixed(n, k):
"""Outer loop over N, inner O(1) set/dict lookup."""
pool = list(range(k))
pool_set = set(pool)
pool_pos = {v: i for i, v in enumerate(pool)}
items = list(range(n))
t0 = time.perf_counter()
accepted = []
for x in items:
if x in pool_set: # O(1)
accepted.append(x)
_ = pool_pos.get(x) # O(1)
return time.perf_counter() - t0
TRIALS = 3
CASES = [(50, 50), (100, 100), (200, 200), (500, 500)]
def run():
lines = []
header = "=== linux-0005: component.c find_component nested matches ==="
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"A={n:<5} M={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()

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#!/usr/bin/env python3
# bench-linux-0006.py
# kernel/bpf/btf.c bpf_find_btf_id: idr_for_each_entry per kptr field.
# Models O(F*M) → O(F+M) via list-scan inside a loop vs set/dict lookup.
import sys
import time
def bench_defective(n, k):
"""Outer loop over N, inner linear list scan over K — O(N*K)."""
pool = list(range(k))
items = list(range(n))
t0 = time.perf_counter()
accepted = []
for x in items:
if x in pool: # list __contains__ = O(K)
accepted.append(x)
# simulate nested work: scan pool to find position
try:
_ = pool.index(x)
except ValueError:
pass
return time.perf_counter() - t0
def bench_fixed(n, k):
"""Outer loop over N, inner O(1) set/dict lookup."""
pool = list(range(k))
pool_set = set(pool)
pool_pos = {v: i for i, v in enumerate(pool)}
items = list(range(n))
t0 = time.perf_counter()
accepted = []
for x in items:
if x in pool_set: # O(1)
accepted.append(x)
_ = pool_pos.get(x) # O(1)
return time.perf_counter() - t0
TRIALS = 3
CASES = [(50, 100), (100, 500), (200, 1000), (500, 2000)]
def run():
lines = []
header = "=== linux-0006: btf.c bpf_find_btf_id IDR scan per field ==="
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"F={n:<5} M={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()

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#!/usr/bin/env python3
# bench-linux-0007.py
# net/core/pktgen.c __pktgen_NN_threads: threads list + per-thread if_list walk.
# Models O(T*D) → O(T+D) via list-scan inside a loop vs set/dict lookup.
import sys
import time
def bench_defective(n, k):
"""Outer loop over N, inner linear list scan over K — O(N*K)."""
pool = list(range(k))
items = list(range(n))
t0 = time.perf_counter()
accepted = []
for x in items:
if x in pool: # list __contains__ = O(K)
accepted.append(x)
# simulate nested work: scan pool to find position
try:
_ = pool.index(x)
except ValueError:
pass
return time.perf_counter() - t0
def bench_fixed(n, k):
"""Outer loop over N, inner O(1) set/dict lookup."""
pool = list(range(k))
pool_set = set(pool)
pool_pos = {v: i for i, v in enumerate(pool)}
items = list(range(n))
t0 = time.perf_counter()
accepted = []
for x in items:
if x in pool_set: # O(1)
accepted.append(x)
_ = pool_pos.get(x) # O(1)
return time.perf_counter() - t0
TRIALS = 3
CASES = [(50, 100), (100, 200), (200, 500), (500, 1000)]
def run():
lines = []
header = "=== linux-0007: pktgen.c thread-dev list walk ==="
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"T={n:<5} D={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()

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#!/usr/bin/env python3
# bench-linux-0008.py
# kernel/taskstats.c add_del_listener: per-CPU listener list walk per CPU.
# Models O(CPUs*L) → O(CPUs+L) via list-scan inside a loop vs set/dict lookup.
import sys
import time
def bench_defective(n, k):
"""Outer loop over N, inner linear list scan over K — O(N*K)."""
pool = list(range(k))
items = list(range(n))
t0 = time.perf_counter()
accepted = []
for x in items:
if x in pool: # list __contains__ = O(K)
accepted.append(x)
# simulate nested work: scan pool to find position
try:
_ = pool.index(x)
except ValueError:
pass
return time.perf_counter() - t0
def bench_fixed(n, k):
"""Outer loop over N, inner O(1) set/dict lookup."""
pool = list(range(k))
pool_set = set(pool)
pool_pos = {v: i for i, v in enumerate(pool)}
items = list(range(n))
t0 = time.perf_counter()
accepted = []
for x in items:
if x in pool_set: # O(1)
accepted.append(x)
_ = pool_pos.get(x) # O(1)
return time.perf_counter() - t0
TRIALS = 3
CASES = [(32, 50), (64, 100), (128, 200), (256, 500)]
def run():
lines = []
header = "=== linux-0008: taskstats.c add_del_listener per-CPU list ==="
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"CPUs={n:<5} L={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()

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=== linux-0001: headerdep detect_cycles BFS list-grep ===
D=100 K=10 : defective=0.123ms fixed=0.013ms speedup=9.7x
D=500 K=20 : defective=0.786ms fixed=0.051ms speedup=15.4x
D=1000 K=30 : defective=1.919ms fixed=0.091ms speedup=21.0x
D=2000 K=50 : defective=5.459ms fixed=0.312ms speedup=17.5x
=== linux-0002: auditsc audit_filter_rules inode-list scan ===
F=100 R=20 : defective=0.252ms fixed=0.015ms speedup=17.0x
F=500 R=50 : defective=1.407ms fixed=0.045ms speedup=31.0x
F=1000 R=100 : defective=4.392ms fixed=0.084ms speedup=52.2x
F=2000 R=200 : defective=17.351ms fixed=0.163ms speedup=106.7x
=== linux-0003: dev.c __dev_alloc_name altname linear scan ===
D=100 A=10 : defective=0.086ms fixed=0.009ms speedup=9.7x
D=500 A=20 : defective=0.637ms fixed=0.041ms speedup=15.4x
D=1000 A=30 : defective=1.661ms fixed=0.079ms speedup=21.0x
D=2000 A=50 : defective=4.854ms fixed=0.188ms speedup=25.8x
=== linux-0004: neighbour.c lookup_neigh_parms list walk ===
P=100 : defective=0.097ms fixed=0.004ms speedup=25.4x
P=500 : defective=2.472ms fixed=0.023ms speedup=108.6x
P=1000 : defective=10.423ms fixed=0.051ms speedup=205.4x
P=2000 : defective=36.584ms fixed=0.094ms speedup=389.2x
=== linux-0005: component.c find_component nested matches ===
A=50 M=50 : defective=0.049ms fixed=0.005ms speedup=9.9x
A=100 M=100 : defective=0.185ms fixed=0.010ms speedup=19.4x
A=200 M=200 : defective=0.716ms fixed=0.018ms speedup=38.8x
A=500 M=500 : defective=4.691ms fixed=0.056ms speedup=84.0x
=== linux-0006: btf.c bpf_find_btf_id IDR scan per field ===
F=50 M=100 : defective=0.049ms fixed=0.005ms speedup=9.4x
F=100 M=500 : defective=0.184ms fixed=0.010ms speedup=18.7x
F=200 M=1000 : defective=0.724ms fixed=0.019ms speedup=37.6x
F=500 M=2000 : defective=4.906ms fixed=0.057ms speedup=86.4x
=== linux-0007: pktgen.c thread-dev list walk ===
T=50 D=100 : defective=0.049ms fixed=0.005ms speedup=9.7x
T=100 D=200 : defective=0.184ms fixed=0.010ms speedup=19.3x
T=200 D=500 : defective=0.730ms fixed=0.038ms speedup=19.3x
T=500 D=1000 : defective=4.909ms fixed=0.055ms speedup=88.9x
=== linux-0008: taskstats.c add_del_listener per-CPU list ===
CPUs=32 L=50 : defective=0.021ms fixed=0.003ms speedup=6.3x
CPUs=64 L=100 : defective=0.078ms fixed=0.006ms speedup=12.3x
CPUs=128 L=200 : defective=0.297ms fixed=0.013ms speedup=23.5x
CPUs=256 L=500 : defective=1.226ms fixed=0.024ms speedup=50.8x

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defects/linux/bench/run_all.py Normal file
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#!/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-linux-0001.py", "bench-linux-0002.py", "bench-linux-0003.py",
"bench-linux-0004.py", "bench-linux-0005.py", "bench-linux-0006.py",
"bench-linux-0007.py", "bench-linux-0008.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()