hangshuo652
bc1d56d1a4
P0.6: gcov infrastructure P1: extract_structure output expansion (11 new feature fields) P2: Confusion group rule engine (8 pairs + contradiction + backtrack) P3: 4-factor confidence calculation + quality gate update P4: 33+2 COBOL program type test samples (22 files, 7 categories) P5: parametrized/ test data generation engine P6: japanese_data.py lookup tables P7-10: Type-specific test suites (~159 parametrized tests) P11: Full classification pipeline (classify_program) + orchestrator integration P12: Documentation (module-interfaces, test-plan v3.0, coverage-matrix) Architecture decisions: - classification_pipeline/ merged to hina/pipeline/ - parametrized/ as independent module - japanese_data.py as root-level file - hina/__all__ only exports classify_program() Co-Authored-By: Claude <noreply@anthropic.com>
12 lines
308 B
Python
12 lines
308 B
Python
import json
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for tf_name in ["tasks/ec17bf32.json"]:
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with open(tf_name) as f:
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d = json.load(f)
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d["status"] = "queued"
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d.pop("result", None)
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d.pop("fields", None)
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d.pop("debug", None)
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with open(tf_name, "w") as f:
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json.dump(d, f)
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print(f"{tf_name} reset to queued")
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