feat: Phase 2 complete — 13 Phases of COBOL type classification and test benchmark

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>

quality/__init__.py

@@ -0,0 +1,16 @@
+"""质量验证包
+
+公开 API:
+  L1OffsetValidator    — COBOL 编译验证字段偏移
+  L2RoundtripValidator — COMP-3 值回环验证
+"""
+
+from __future__ import annotations
+
+from .l1_offset_validate import L1OffsetValidator
+from .l2_value_roundtrip import L2RoundtripValidator
+
+__all__ = [
+    "L1OffsetValidator",     # class
+    "L2RoundtripValidator",  # class
+]