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Three defects, two of them the same shape as ones already rejected once: - The meta-agent proposer still could not propose. `MetaAgent(inner_model=)` takes a ModelConfig; it was handed a model name, a `# type: ignore` hid that from mypy, and a bare `except Exception` turned the resulting AttributeError into `meta_agent_failed` -- which reads exactly like the model declining. The composition is now a seam a test can pin, and a construction error is re-raised rather than reported as a quiet round. - `ousast pairs --hunter` crashed in its documented form: the K floor landed with `--k-runs` still defaulting to 1. The covering test always passed `--k-runs 4`, which is why nothing noticed. - 28 rows (12% of the corpus) resolved a span on the vulnerable side and none on the fixed side, so every fixed-side finding read as outside the labeled function and the pair scored as silence whatever the detector said. `fix_function` now reaches the catalog and the scorer, and the generator derives it from the fixed excerpt for the 25 trap rows that never declared one. Measured after: 0 rows. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
248 lines
11 KiB
Python
248 lines
11 KiB
Python
"""Three defects the round-4 review found, one test each (learning-harness, Req 3.2, 4.1, 9.1).
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Two of them were the same shape as defects already rejected once: a proposer that cannot propose because the call
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is wrong and the error is swallowed, and a K-run floor that turned a documented command into a traceback. The
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third is the fixed-side half of the range defect — 28 rows resolve a span on the vulnerable side and none on the
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fixed side, so every finding there reads as outside the labeled function and the pair scores as silence.
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"""
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from __future__ import annotations
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from pathlib import Path
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import pytest
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from openultrasast.benchmark import ExpectedFinding
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from openultrasast.findings import StaticFinding
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from openultrasast.harness_ext import has_harnessx
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from openultrasast.learning.families import load_families
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from openultrasast.pairs import DEFAULT_CATALOG, PairCase, load_pair_catalog, select_vendored
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from openultrasast.semantic.extra import has_semantic_extra
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VULN = "from flask import request\nimport os\n\n\ndef run():\n os.system(request.args.get('cmd'))\n"
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FIXED_OTHER = "from flask import request\n\n\ndef unrelated():\n return 'ok'\n"
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def _finding(line: int) -> StaticFinding:
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return StaticFinding(
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finding_id=f"tool-hunter:app.py:{line}",
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path="app.py",
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title="t",
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severity="high",
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confidence="low",
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evidence_level="suspicion",
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rationale="r",
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line=line,
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function_name="run",
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reachability_status="unknown",
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reachability_evidence=[],
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reachability_conditions=[],
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tags=["tool-hunter", "family:injection"],
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ranking_priority=0.0,
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)
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# --- the meta-agent call -----------------------------------------------------
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@pytest.mark.skipif(not has_harnessx(), reason="the composition seam only runs when the extra is importable")
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def test_the_meta_agent_is_built_with_a_model_config_not_a_model_name(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
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"""`MetaAgent(inner_model=...)` wants a `ModelConfig`; a string reaches `self.inner_model.agentic(...)` and dies.
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Every other HarnessX composition site in this repository builds the config properly. Here the mistake was
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invisible because a `# type: ignore` hid it from mypy and a bare `except Exception` turned it into the
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degradation reason `meta_agent_failed`, which reads exactly like the model declining."""
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from openultrasast.learning import proposer as proposer_module
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seen: dict[str, object] = {}
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class _Agent:
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def __init__(self, **kwargs: object) -> None:
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seen.update(kwargs)
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async def evolve(self, **kwargs: object) -> Path:
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seen["evolve"] = kwargs
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workspace = kwargs["current_config"]
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assert isinstance(workspace, Path)
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(workspace / "checklist.md").write_text("- from the meta agent\n")
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return workspace
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monkeypatch.setattr(proposer_module, "_meta_agent_class", lambda: _Agent)
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monkeypatch.setattr(proposer_module, "_model_config", lambda model: f"ModelConfig({model})")
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(tmp_path / "injection").mkdir()
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(tmp_path / "injection" / "checklist.md").write_text("- old\n")
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proposal = proposer_module.HarnessXProposer(configs_dir=tmp_path, model="m").propose(_facts())
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assert proposal is not None and proposal.change == {"checklist.md": "- from the meta agent\n"}
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assert seen["inner_model"] == "ModelConfig(m)", "the agent was handed a model name where it wanted a config"
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assert seen["allowed_write_roots"] != (tmp_path / "injection",), "the live family directory is never a write root"
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@pytest.mark.skipif(not has_harnessx(), reason="the composition seam only runs when the extra is importable")
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def test_a_meta_agent_built_wrongly_is_not_reported_as_a_declined_proposal(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
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""" "We called the agent wrong" and "the agent had nothing to propose" are different facts."""
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from openultrasast.learning import proposer as proposer_module
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def _boom() -> object:
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raise TypeError("inner_model must be a ModelConfig")
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monkeypatch.setattr(proposer_module, "_meta_agent_class", _boom)
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(tmp_path / "injection").mkdir()
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proposer = proposer_module.HarnessXProposer(configs_dir=tmp_path, model="m")
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with pytest.raises(TypeError, match="ModelConfig"):
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proposer.propose(_facts())
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def _facts(): # type: ignore[no-untyped-def]
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from openultrasast.learning.detectors import FamilyConfig
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from openultrasast.learning.proposer import FailureFacts
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return FailureFacts(
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family="injection",
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config=FamilyConfig(
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family="injection",
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version="0",
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prompt="p",
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checklist="- old",
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tools=("read_file",),
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max_steps=1,
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max_cost_usd=0.1,
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max_chars=100,
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),
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)
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# --- the pairs command in its documented form --------------------------------
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def test_the_pairs_hunter_path_runs_without_a_k_runs_flag(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
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"""The floor is a default, not a trap: `ousast pairs --hunter` must work as documented."""
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from openultrasast.cli import main
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(tmp_path / "a-v.py").write_text(VULN)
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(tmp_path / "a-f.py").write_text(FIXED_OTHER)
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(tmp_path / "pairs.toml").write_text(
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'[[pair]]\nname = "a"\nslice = "vibe-py"\nlanguage = "python"\nvuln = "a-v.py"\nfixed = "a-f.py"\n'
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'relpath = "app.py"\nsplit = "train"\nreview_tier = "seeded"\n\n'
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'[[pair.expected]]\ncwe = "CWE-78"\nclass = "x"\npath = "app.py"\nfunction = "run"\nmechanism = "other"\nfamily = "injection"\n'
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)
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monkeypatch.setenv("OPENULTRASAST_HUNTER_CLIENT", "scripted")
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assert main(["pairs", "--catalog", str(tmp_path / "pairs.toml"), "--hunter", "--hunter-model", "scripted"]) == 0
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def test_a_k_below_the_floor_names_the_flag_instead_of_raising(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
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from openultrasast.cli import main
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(tmp_path / "pairs.toml").write_text("")
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monkeypatch.setenv("OPENULTRASAST_HUNTER_CLIENT", "scripted")
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with pytest.raises(SystemExit, match="k-runs"):
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main(["pairs", "--catalog", str(tmp_path / "pairs.toml"), "--hunter", "--hunter-model", "scripted", "--k-runs", "1"])
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# --- the fixed side of a trap pair -------------------------------------------
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def test_a_trap_pair_is_scored_against_the_function_its_fixed_side_really_holds(tmp_path: Path) -> None:
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"""A Real-Vuln-Benchmark trap takes its fixed side from a different, correctly guarded handler.
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With no span for it, every fixed-side finding counts as outside the labeled function and the pair scores as
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silence — the same flattering direction as the range defect, for the 28 rows that resolve one side only."""
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from openultrasast.learning.scoring import score_pair_family
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(tmp_path / "v.py").write_text(VULN)
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(tmp_path / "f.py").write_text(FIXED_OTHER)
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case = PairCase(
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name="trap",
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slice="vibe-py",
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language="python",
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origin="test",
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vuln_file=tmp_path / "v.py",
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fixed_file=tmp_path / "f.py",
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relpath="app.py",
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expected=(
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ExpectedFinding(
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cwe="CWE-78", vulnerability_class="x", path="app.py", evidence="", function="run", mechanism="other", family="injection"
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),
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),
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min_recall=1.0,
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fix_policy="silent",
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fix_function="unrelated",
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)
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score = score_pair_family(
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case,
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"injection",
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[[_finding(6)]],
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[[_finding(5)]],
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ranges={"app.py": (("run", 5, 6),)},
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fixed_ranges={"app.py": (("unrelated", 4, 5),)},
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taxonomy=load_families(),
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)
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assert score.outcome == "both_flagged", "the finding is inside the fixed side's own handler; that is a leak"
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def test_a_row_whose_fixed_side_resolves_no_span_says_so_instead_of_scoring_silent(tmp_path: Path) -> None:
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from openultrasast.learning.scoring import score_pair_family
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(tmp_path / "v.py").write_text(VULN)
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(tmp_path / "f.py").write_text(FIXED_OTHER)
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case = PairCase(
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name="orphan",
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slice="vibe-py",
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language="python",
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origin="test",
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vuln_file=tmp_path / "v.py",
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fixed_file=tmp_path / "f.py",
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relpath="app.py",
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expected=(
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ExpectedFinding(
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cwe="CWE-78", vulnerability_class="x", path="app.py", evidence="", function="run", mechanism="other", family="injection"
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),
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),
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min_recall=1.0,
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fix_policy="silent",
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)
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score = score_pair_family(
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case,
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"injection",
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[[_finding(6)]],
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[[]],
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ranges={"app.py": (("run", 5, 6),)},
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fixed_ranges={"app.py": (("unrelated", 4, 5),)},
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taxonomy=load_families(),
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)
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assert score.outcome == "unscorable" and score.unscorable_reason == "unresolved_label:fixed"
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def test_the_trap_rows_carry_their_fixed_side_function_in_the_catalog() -> None:
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"""`fix_function` lived only in the recipes; the scorer could not see which handler the fixed side holds."""
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cases = {case.name: case for case in select_vendored(load_pair_catalog(DEFAULT_CATALOG))}
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assert cases["threatbyte-api-v1-get"].fix_function == "post"
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assert cases["threatbyte-api-v1-delete"].fix_function == "post"
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assert cases["vampi-users-update-password"].fix_function == "register_user"
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assert cases["vampi-books-get-by-title"].fix_function == "", "a row whose two sides are one function names none"
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@pytest.mark.semantic
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@pytest.mark.skipif(not has_semantic_extra(), reason="resolving a span on both sides needs the tree-sitter grammars")
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def test_no_vendored_row_resolves_one_side_and_not_the_other() -> None:
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"""The corpus-wide form of the same defect: 28 rows resolved a vulnerable span and no fixed-side span.
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Every one of them therefore scored the fixed side as silent by construction, whatever the detector said. The
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catalog generator now derives `fix_function` from the fixed excerpt itself, so the span exists and the leak is
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visible."""
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import tempfile
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from openultrasast.learning.scoring import _spans
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from openultrasast.pairs import _materialize_side, _overlay_scan
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orphans = []
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for case in select_vendored(load_pair_catalog(DEFAULT_CATALOG)):
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if case.unscorable:
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continue
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with tempfile.TemporaryDirectory() as scratch:
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vuln = _materialize_side(Path(scratch) / "vuln", case, side="vuln")
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fixed = _materialize_side(Path(scratch) / "fixed", case, side="fixed")
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vuln_ranges, fixed_ranges = _overlay_scan(vuln).ranges, _overlay_scan(fixed).ranges
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if _spans(case, vuln_ranges) and not _spans(case, fixed_ranges, function=case.fix_function):
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orphans.append(case.name)
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assert orphans == [], f"rows whose fixed side can only ever score as silence: {orphans}"
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