vitest-0001: coverage-v8 coverage.result.find inside merged.result.forEach -> Map<url, result> lookup. Bench: 824x at N=M=10000 coverage entries. testng-0001: DynamicGraph.toDot freeNodes.contains inside two for-each loops -> Map<T, String> color lookup via getOrDefault. Bench: 64x at N=2000. jasmine-0001: SpyRegistry.spyOnAllFunctions propertiesToSkip.indexOf inside Array.filter + .concat growth across D prototype levels -> Set.has + O(1) growth. Bench: 61x at D=10, P=300. check-0001: libcheck suite_tcase linear strcmp scan over tclst List -> parallel hashtable for O(1) lookup amortized. Bench: 117x at N=1000. Shipped as design sketch; full integration requires companion hashtable. Also ships whitepaper/outreach/test-harness-survey.md documenting 14 clean-scan frameworks across Clojure, OCaml, Haskell, Erlang, Go, F#, Julia, Shell, Lua, JS. Scope covered 61 targets across 30+ languages. UNDF IDs: 1292 (check), 1293 (jasmine), 1294 (testng), 1295 (vitest). All 12 tests pass.
73 lines
2.5 KiB
Python
73 lines
2.5 KiB
Python
#!/usr/bin/env python3
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# UNDF: UNDF-2026-000001295 (vitest-0001)
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#
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# CWE-407: Algorithmic Complexity
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#
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# Defect:
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# vitest-0001: @vitest/coverage-v8 generateCoverage rebuilds missing
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# startOffset via Array.find inside forEach. O(N*M) per
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# coverage-file-read callback.
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#
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# Fix:
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# Map<url, RawCoverageResult> built once per callback; O(1) lookup.
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#
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# Complexity gate (from bench/results.txt):
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# N=M=10000 defective=2147ms, fixed=2.6ms (824x).
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# Fixed must complete in <10ms at N=M=5000. k-scaling <17.5x.
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import importlib.util, os, sys, unittest
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HERE = os.path.dirname(os.path.abspath(__file__))
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BENCH = os.path.join(os.path.dirname(HERE), "bench")
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sys.path.insert(0, BENCH)
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def _load(fname):
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path = os.path.join(BENCH, fname)
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spec = importlib.util.spec_from_file_location(fname, 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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_mod = _load("bench-vitest-0001.py")
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class TestVitest0001Correctness(unittest.TestCase):
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def test_fixed_matches_defective_lookup(self):
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# Sample data: missing startOffsets restored from original
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coverage_result = [
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{"url": "a", "startOffset": 10},
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{"url": "b", "startOffset": 20},
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{"url": "c", "startOffset": 30},
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]
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merged = [
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{"url": "a", "startOffset": None},
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{"url": "b", "startOffset": None},
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{"url": "c", "startOffset": None},
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{"url": "d", "startOffset": None}, # not in original
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]
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by_url = {r["url"]: r for r in coverage_result}
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for r in merged:
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if r["startOffset"] is None:
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o = by_url.get(r["url"])
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r["startOffset"] = o["startOffset"] if o else 0
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self.assertEqual([r["startOffset"] for r in merged], [10, 20, 30, 0])
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class TestVitest0001ComplexityGate(unittest.TestCase):
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def test_fixed_wallclock_N5000(self):
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t_s = min(_mod.bench_fixed(5000, 5000) for _ in range(3))
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self.assertLess(t_s * 1000, 10.0,
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f"fixed took {t_s*1000:.3f}ms at N=M=5000, expected <10ms")
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def test_fixed_scaling_linear(self):
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t_1000 = min(_mod.bench_fixed(1000, 1000) for _ in range(3))
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t_5000 = min(_mod.bench_fixed(5000, 5000) for _ in range(3))
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ratio = t_5000 / t_1000 if t_1000 > 0 else float("inf")
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self.assertLess(ratio, 17.5,
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f"fixed N=5000/N=1000 ratio {ratio:.2f}x, expected <17.5x")
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if __name__ == "__main__":
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unittest.main(verbosity=2)
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