fix typing + fix conversion for old pyarrow

Author: jorisvandenbossche

pandas/core/arrays/categorical.py

@@ -2677,9 +2677,9 @@ def _str_map(
         categories = self.categories
         codes = self.codes
         if categories.dtype == "string":
-            result = categories.array._str_map(f, na_value, dtype)
+            result = categories.array._str_map(f, na_value, dtype)  # type: ignore[attr-defined]
             if (
-                categories.dtype.na_value is np.nan
+                categories.dtype.na_value is np.nan  # type: ignore[union-attr]
                 and is_bool_dtype(dtype)
                 and (na_value is lib.no_default or isna(na_value))
             ):

pandas/core/arrays/string_arrow.py

@@ -240,7 +240,7 @@ def _convert_bool_result(self, values, na=lib.no_default, method_name=None):
                 values = values.fill_null(False)
             else:
                 values = values.fill_null(na)
-            return values.to_numpy(zero_copy_only=False)
+            return values.to_numpy()
         else:
             if na is not lib.no_default and not isna(na):  # pyright: ignore [reportGeneralTypeIssues]
                 values = values.fill_null(na)