refactor(tests): split the golden v2 dummy executor into a narrower inline stub and update baseline

Author: orenlab

codeclone.baseline.json

@@ -2,14 +2,14 @@
   "meta": {
     "generator": {
       "name": "codeclone",
-      "version": "2.0.0b3"
+      "version": "2.0.0b4"
     },
     "schema_version": "2.0",
     "fingerprint_version": "1",
     "python_tag": "cp313",
-    "created_at": "2026-03-29T16:19:22Z",
+    "created_at": "2026-04-04T18:57:08Z",
     "payload_sha256": "691c6cedd10e2a51d6038780f3ae9dffe763356dd2aba742b3980f131b79f217",
-    "metrics_payload_sha256": "878d5169c9ffd6d73eb0ce3ce55166df3d080b85ed835091f33ff53d2779b9ac"
+    "metrics_payload_sha256": "07e216e9a158e4dc56ad2ee6ca8069896cd17d39bdb0b8a3745ebd98627d0d25"
   },
   "clones": {
     "functions": [
@@ -30,14 +30,12 @@
     "high_risk_functions": [],
     "max_coupling": 10,
     "high_coupling_classes": [],
-    "max_cohesion": 4,
-    "low_cohesion_classes": [
-      "tests.test_golden_v2:_DummyExecutor"
-    ],
+    "max_cohesion": 3,
+    "low_cohesion_classes": [],
     "dependency_cycles": [],
-    "dependency_max_depth": 11,
+    "dependency_max_depth": 10,
     "dead_code_items": [],
-    "health_score": 85,
+    "health_score": 87,
     "health_grade": "B"
   }
 }

tests/test_golden_v2.py

@@ -9,9 +9,10 @@
 import json
 import shutil
 import sys
+from collections.abc import Callable
+from contextlib import nullcontext
 from dataclasses import asdict, dataclass
 from pathlib import Path
-from typing import Literal
 
 import pytest
 
@@ -38,33 +39,27 @@ def result(self) -> object:
         return self.value
 
 
-class _DummyExecutor:
-    def __init__(self, max_workers: int | None = None) -> None:
-        self.max_workers = max_workers
-
-    def __enter__(self) -> _DummyExecutor:
-        return self
-
-    def __exit__(
-        self,
-        exc_type: type[BaseException] | None,
-        exc: BaseException | None,
-        tb: object | None,
-    ) -> Literal[False]:
-        return False
+@dataclass(slots=True)
+class _InlineExecutor:
+    max_workers: int | None = None
 
     def submit(
         self,
-        fn: object,
+        fn: Callable[..., object],
         *args: object,
         **kwargs: object,
     ) -> _DummyFuture:
-        assert callable(fn)
         return _DummyFuture(fn(*args, **kwargs))
 
 
+def _dummy_process_pool_executor(
+    max_workers: int | None = None,
+) -> object:
+    return nullcontext(_InlineExecutor(max_workers=max_workers))
+
+
 def _patch_parallel(monkeypatch: pytest.MonkeyPatch) -> None:
-    monkeypatch.setattr(pipeline, "ProcessPoolExecutor", _DummyExecutor)
+    monkeypatch.setattr(pipeline, "ProcessPoolExecutor", _dummy_process_pool_executor)
     monkeypatch.setattr(pipeline, "as_completed", lambda futures: futures)