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>

jcl/executor.py

@@ -59,8 +59,17 @@ class JclExecutor:
                 elif name in ("VALIDOUT", "REJECT", "REPORTERR", "CALCOUT", "STMT", "SUMMARY"):
                     env_out[name] = str(path)
 
-        input_path = env_in.get(list(env_in.keys())[0], "")
-        output_path = env_out.get(list(env_out.keys())[0], str(self.root_dir / "data" / "work" / f"{step.step_name.lower()}_out.bin"))
+        # 创建空输入文件（如果无 input DD）
+        if env_in:
+            input_path = env_in.get(next(iter(env_in.keys())), "")
+        else:
+            import tempfile
+            empty = Path(tempfile.mkstemp(suffix=".bin")[1])
+            empty.write_bytes(b"")
+            input_path = str(empty)
+        output_path = env_out.get(next(iter(env_out.keys()), ""), str(self.root_dir / "data" / "work" / f"{step.step_name.lower()}_out.bin"))
+        # 确保输出目录存在
+        Path(output_path).parent.mkdir(parents=True, exist_ok=True)
 
         run = runner.run(build.artifact_path, input_path, output_path)
         self.results[step.step_name] = {