b06bd2db687d26f90bb49e76bf6612c489d6035d,pandas/tests/arithmetic/test_timedelta64.py,TestTimedeltaArraylikeAddSubOps,test_td64arr_add_sub_tdi,#TestTimedeltaArraylikeAddSubOps#Any#Any#,1211

Before Change

        // GH/� make sure names are propagated correctly
        box = box_with_array

        if box is pd.DataFrame and names[1] != names[0]:
            pytest.skip(
                "Name propagation for DataFrame does not behave like "
                "it does for Index/Series"
            )

        tdi = TimedeltaIndex(["0 days", "1 day"], name=names[0])
        tdi = np.array(tdi) if box in [tm.to_array, pd.array] else tdi
        ser = Series([Timedelta(hours=3), Timedelta(hours=4)], name=names[1])
        expected = Series(
            [Timedelta(hours=3), Timedelta(days=1, hours=4)], name=names[2]
        )

        ser = tm.box_expected(ser, box)
        expected = tm.box_expected(expected, box)

        result = tdi + ser
        tm.assert_equal(result, expected)
        assert_dtype(result, "timedelta64[ns]")

        result = ser + tdi
        tm.assert_equal(result, expected)
        assert_dtype(result, "timedelta64[ns]")

        expected = Series(
            [Timedelta(hours=-3), Timedelta(days=1, hours=-4)], name=names[2]
        )
        expected = tm.box_expected(expected, box)

        result = tdi - ser

After Change

        // GH/� make sure result dtype is correct
        // GH/� make sure names are propagated correctly
        box = box_with_array
        exname = get_expected_name(box, names)

        tdi = TimedeltaIndex(["0 days", "1 day"], name=names[1])
        tdi = np.array(tdi) if box in [tm.to_array, pd.array] else tdi
        ser = Series([Timedelta(hours=3), Timedelta(hours=4)], name=names[0])

Instances