testcafe-0001: Selector filterNodes (string-filter branch) and expandSelectorResults both dedup via Array.indexOf on growing result arrays. filterNodes: O(N*M) per selector filter. expandSelectorResults: O(N^2 * K^2) worst case when derivatives unique. Fix: Set<Node> keyed by object identity. Bench: 398x at N=2000 filter, 1966x at N=K=150 expand. webdriverio-0002: MSPO aggregator dedups per-test entries via Array.find on growing bucket array. O(N^2) per test bucket, same pattern repeats in unknown-suite merger. Fix: companion Map<bucketKey, Set<selector>> for O(1) dedup. Bench: 493x at N=2000. UNDF IDs: 1290 (testcafe), 1291 (webdriverio-0002). All 17 tests pass.
91 lines
3.2 KiB
Python
91 lines
3.2 KiB
Python
#!/usr/bin/env python3
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# UNDF: UNDF-2026-000001290 (testcafe-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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# testcafe-0001: Selector filterNodes (string-filter branch) uses
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# matchingArr.indexOf(node) > -1 per node, O(N*M).
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# expandSelectorResults uses result.indexOf(deriv) < 0 on
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# growing result array, worst O(N^2 * K^2) unique case.
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#
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# Fix:
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# Replace Array.indexOf with Set<Node> membership test. Object identity
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# semantics preserved (Set keys by reference).
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#
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# Complexity gate (from bench/results.txt on this machine):
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# filterNodes N=M=2000: defective=30.3ms, fixed=0.08ms.
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# expandSelectorResults N=K=150: defective=4985ms, fixed=2.5ms.
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# Fixed must stay well sub-linear in N*M / N*K.
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import importlib.util
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import os
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import sys
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import 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-testcafe-0001.py")
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class TestTestcafe0001FilterCorrectness(unittest.TestCase):
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def test_filter_fixed_produces_same_result_as_defective(self):
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Node = _mod.Node
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matching = [Node(i) for i in range(5)]
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all_nodes = matching + [Node(100 + i) for i in range(5)]
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matchingSet = set(matching)
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result = [n for n in all_nodes if n in matchingSet]
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self.assertEqual([n.id for n in result], [0, 1, 2, 3, 4])
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class TestTestcafe0001ExpandCorrectness(unittest.TestCase):
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def test_expand_preserves_insertion_order_and_dedups(self):
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Node = _mod.Node
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a = Node(1)
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b = Node(2)
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c = Node(3)
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# Source: each 'node' has derivatives, with overlaps between nodes
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derivatives_per_node = [[a, b], [b, c], [c, a]]
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seen = set()
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result = []
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for derivs in derivatives_per_node:
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for d in derivs:
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if d not in seen:
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seen.add(d)
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result.append(d)
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self.assertEqual([n.id for n in result], [1, 2, 3])
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class TestTestcafe0001ComplexityGate(unittest.TestCase):
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def test_filter_fixed_wallclock_N2000(self):
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t_s = min(_mod.bench_filter_fixed(2000, 1000) for _ in range(3))
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self.assertLess(t_s * 1000, 5.0,
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f"fixed took {t_s*1000:.3f}ms at N=2000 M=1000, expected <5ms")
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def test_expand_fixed_wallclock_N100(self):
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t_s = min(_mod.bench_expand_fixed(100, 100) for _ in range(3))
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self.assertLess(t_s * 1000, 5.0,
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f"fixed took {t_s*1000:.3f}ms at N=K=100, expected <5ms")
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def test_filter_fixed_scaling_linear(self):
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t_100 = min(_mod.bench_filter_fixed(100, 50) for _ in range(3))
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t_500 = min(_mod.bench_filter_fixed(500, 250) for _ in range(3))
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ratio = t_500 / t_100 if t_100 > 0 else float("inf")
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self.assertLess(ratio, 17.5,
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f"fixed N=500/N=100 ratio {ratio:.2f}x, expected <17.5x (O(N))")
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if __name__ == "__main__":
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unittest.main(verbosity=2)
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