fix: update DataFrame.from_records index parameter to accept Hashable values

- Change index parameter type from SequenceNotStr[str] to SequenceNotStr[Hashable]
- Apply black formatting to test files
- Resolves CI type checking issues per Dr-Irv feedback

This allows index parameter to accept integers and other hashable values,
not just strings, matching pandas runtime behavior.

Author: iclectic

pandas-stubs/core/frame.pyi

@@ -552,7 +552,7 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
             | Mapping[str, Any]
             | Mapping[str, SequenceNotStr[Any]]
         ),
-        index: str | SequenceNotStr[str] | None = None,
+        index: str | SequenceNotStr[Hashable] | None = None,
         columns: ListLike | None = None,
         exclude: ListLike | None = None,
         coerce_float: bool = False,

tests/test_frame.py

@@ -4735,10 +4735,12 @@ def test_from_records() -> None:
         pd.DataFrame,
     )
 
-    # test with single dictionary
+    # test with single dictionary
     data_single_dict = {"id": 1, "name": "a"}
     check(
-        assert_type(pd.DataFrame.from_records(data_single_dict, index=["0"]), pd.DataFrame),
+        assert_type(
+            pd.DataFrame.from_records(data_single_dict, index=["0"]), pd.DataFrame
+        ),
         pd.DataFrame,
     )