update

Author: jbrockmendel

pandas/_libs/lib.pyx

@@ -2649,7 +2649,7 @@ def maybe_convert_objects(ndarray[object] objects,
             if opt is True:
                 import pyarrow as pa
 
-                from pandas.core.arrays.arrow import ArrowDtype
+                from pandas.core.dtypes.dtypes import ArrowDtype
 
                 obj = pa.array(objects)
                 dtype = ArrowDtype(obj.type)

pandas/core/arrays/arrow/array.py

@@ -631,7 +631,15 @@ def _evaluate_op_method(self, other, op, arrow_funcs):
         if pc_func is NotImplemented:
             raise NotImplementedError(f"{op.__name__} not implemented.")
 
-        result = pc_func(self._pa_array, other)
+        try:
+            result = pc_func(self._pa_array, other)
+        except pa.lib.ArrowNotImplementedError:
+            if op in [operator.add, roperator.radd, operator.sub, roperator.rsub]:
+                # By returning NotImplemented we get standard message with a
+                #  TypeError
+                return NotImplemented
+            raise
+
         return type(self)(result)
 
     def _logical_method(self, other, op):

pandas/core/arrays/datetimes.py

@@ -57,6 +57,7 @@
     pandas_dtype,
 )
 from pandas.core.dtypes.dtypes import (
+    ArrowDtype,
     DatetimeTZDtype,
     ExtensionDtype,
     PeriodDtype,
@@ -1363,8 +1364,6 @@ def time(self) -> npt.NDArray[np.object_] | ArrowExtensionArray:
             # TODO: optimize this to avoid going through ints_to_pydatetime
             import pyarrow as pa
 
-            from pandas.core.arrays.arrow import ArrowDtype
-
             pa_type = pa.time64(self.unit)
             result[self.isna()] = None
             obj = pa.array(result, type=pa_type)

pandas/core/construction.py

@@ -51,7 +51,10 @@
     is_object_dtype,
     pandas_dtype,
 )
-from pandas.core.dtypes.dtypes import PandasDtype
+from pandas.core.dtypes.dtypes import (
+    ArrowDtype,
+    PandasDtype,
+)
 from pandas.core.dtypes.generic import (
     ABCDataFrame,
     ABCExtensionArray,
@@ -297,7 +300,6 @@ def array(
         PeriodArray,
         TimedeltaArray,
     )
-    from pandas.core.arrays.arrow import ArrowDtype
     from pandas.core.arrays.string_ import StringDtype
 
     if lib.is_scalar(data):

pandas/core/dtypes/cast.py

@@ -830,7 +830,6 @@ def infer_dtype_from_scalar(val) -> tuple[DtypeObj, Any]:
                 import pyarrow as pa
 
                 pa_dtype = pa.time64("us")
-                from pandas.core.arrays.arrow import ArrowDtype
 
                 dtype = ArrowDtype(pa_dtype)
 

pandas/tests/arithmetic/test_datetime64.py

@@ -1171,11 +1171,17 @@ def test_dt64arr_add_sub_parr(
         "future", [pytest.param(True, marks=td.skip_if_no("pyarrow")), False, None]
     )
     def test_dt64arr_addsub_time_objects_raises(
-        self, box_with_array, tz_naive_fixture, future
+        self, box_with_array, tz_naive_fixture, future, request
     ):
         # https://github.com/pandas-dev/pandas/issues/10329
 
         tz = tz_naive_fixture
+        if str(tz) == "tzlocal()" and future is True:
+            # TODO(GH#53278)
+            mark = pytest.mark.xfail(
+                reason="Incorrectly raises AttributeError instead of TypeError"
+            )
+            request.node.add_marker(mark)
 
         obj1 = date_range("2012-01-01", periods=3, tz=tz)
         obj2 = [time(i, i, i) for i in range(3)]