skip test for pyarrow + fix typing

Author: jorisvandenbossche

pandas/_testing/__init__.py

@@ -110,7 +110,7 @@
 if using_string_dtype():
     STRING_DTYPES: list[Dtype] = [str, "U"]
 else:
-    STRING_DTYPES: list[Dtype] = [str, "str", "U"]
+    STRING_DTYPES: list[Dtype] = [str, "str", "U"]  # type: ignore[no-redef]
 COMPLEX_FLOAT_DTYPES: list[Dtype] = [*COMPLEX_DTYPES, *FLOAT_NUMPY_DTYPES]
 
 DATETIME64_DTYPES: list[Dtype] = ["datetime64[ns]", "M8[ns]"]

pandas/tests/dtypes/test_common.py

@@ -802,6 +802,8 @@ def test_pandas_dtype_ea_not_instance():
 
 
 def test_pandas_dtype_string_dtypes(string_storage):
+    # TODO(infer_string) remove skip if "python" is supported
+    pytest.importorskip("pyarrow")
     with pd.option_context("future.infer_string", True):
         with pd.option_context("string_storage", string_storage):
             result = pandas_dtype("str")