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>
26 lines
848 B
Python
26 lines
848 B
Python
"""对比引擎包
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公开 API:
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align_records() — COBOL ↔ Java 记录对齐
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compare_field() — 字段级比较（decimal/string/date）
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CobolBinaryReader — 二进制 COBOL 输出解析
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Normalizer — COMP-3/EBCDIC 解码
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detect_rounding() — 舍入检测
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"""
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from __future__ import annotations
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from .aligner import align_records
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from .field_compare import compare_field
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from .cobol_binary_reader import CobolBinaryReader
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from .normalizer import Normalizer
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from .rounding_detect import detect_rounding
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__all__ = [
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"align_records", # (cobol, java, key_field) → list[tuple]
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"compare_field", # (name, c, j, field_type, tolerance) → FieldResult
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"CobolBinaryReader", # class
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"Normalizer", # class
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"detect_rounding", # (c, j) → RoundingResult
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]
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