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>
22 lines
954 B
Python
22 lines
954 B
Python
import subprocess
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from pathlib import Path
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from runners.runner import BuildResult, RunResult
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class CobolRunner:
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def compile(self, src: str, dialect="ibm", gcov: bool = False) -> BuildResult:
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stem = Path(src).stem
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out = str(Path(src).parent / stem)
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cmd = ["cobc", "-x", f"-std={dialect}-strict", "-o", out, src]
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if gcov:
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cmd = ["cobc", "-x", f"-std={dialect}-strict", "--coverage", "-o", out, src]
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p = subprocess.run(cmd, capture_output=True, text=True, timeout=30)
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return BuildResult(success=p.returncode == 0, artifact_path=out, log=p.stdout + p.stderr)
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def run(self, binary: str, input_path: str, output_path: str) -> RunResult:
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with open(input_path, "rb") as f:
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data = f.read()
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p = subprocess.run([binary], input=data, capture_output=True, timeout=30)
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Path(output_path).write_bytes(p.stdout)
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return RunResult(success=p.returncode == 0)
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