Implement Arrow String Array that is compatible with NumPy semantics

pandas/core/arrays/string_arrow.py

@@ -184,8 +184,8 @@ def insert(self, loc: int, item) -> ArrowStringArray:
             raise TypeError("Scalar must be NA or str")
         return super().insert(loc, item)
 
-    @staticmethod
-    def _result_converter(values, **kwargs):
+    @classmethod
+    def _result_converter(cls, values, na=None):
         return BooleanDtype().__from_arrow__(values)
 
     def _maybe_convert_setitem_value(self, value):
@@ -448,15 +448,15 @@ def _str_rstrip(self, to_strip=None):
 class ArrowStringArrayNumpySemantics(ArrowStringArray):
     _storage = "pyarrow_numpy"
 
-    @staticmethod
-    def _result_converter(values, na=None):
+    @classmethod
+    def _result_converter(cls, values, na=None):
         if not isna(na):
             values = values.fill_null(bool(na))
         return ArrowExtensionArray(values).to_numpy(na_value=np.nan)
 
     def __getattribute__(self, item):
         # ArrowStringArray and we both inherit from ArrowExtensionArray, which
-        # creates inheritance problems (Diamnond inheritance)
+        # creates inheritance problems (Diamond inheritance)
         if item in ArrowStringArrayMixin.__dict__ and item != "_pa_array":
             return partial(getattr(ArrowStringArrayMixin, item), self)
         return super().__getattribute__(item)
@@ -545,7 +545,7 @@ def _str_find(self, sub: str, start: int = 0, end: int | None = None):
 
     def _cmp_method(self, other, op):
         result = super()._cmp_method(other, op)
-        return result.to_numpy(na_value=False).astype(np.bool_)
+        return result.to_numpy(np.bool_, na_value=False)
 
     def value_counts(self, dropna: bool = True):
         from pandas import Series

pandas/tests/strings/test_case_justify.py

@@ -279,7 +279,10 @@ def test_center_ljust_rjust_mixed_object():
 
 def test_center_ljust_rjust_fillchar(any_string_dtype):
     if any_string_dtype == "string[pyarrow_numpy]":
-        pytest.skip("Arrow logic is different")
+        pytest.skip(
+            "Arrow logic is different, "
+            "see https://github.com/pandas-dev/pandas/pull/54533/files#r1299808126",
+            )
     s = Series(["a", "bb", "cccc", "ddddd", "eeeeee"], dtype=any_string_dtype)
 
     result = s.str.center(5, fillchar="X")