Addressed errors from changes in som tests

Author: eicchen

pandas/core/frame.py

@@ -8445,7 +8445,7 @@ def _maybe_align_series_as_frame(self, series: Series, axis: AxisInt):
         rvalues = series._values
         if isinstance(rvalues, PeriodArray):
             return series
-        if not isinstance(rvalues, (np.ndarray,)) and rvalues.dtype not in (
+        if not isinstance(rvalues, np.ndarray) and rvalues.dtype not in (
             "datetime64[ns]",
             "timedelta64[ns]",
         ):

pandas/tests/arithmetic/test_period.py

@@ -1361,12 +1361,8 @@ def test_period_add_timestamp_raises(self, box_with_array):
             arr + ts
         with pytest.raises(TypeError, match=msg):
             ts + arr
-        if box_with_array is pd.DataFrame:
-            # TODO: before implementing resolution-inference we got the same
-            #  message with DataFrame and non-DataFrame.  Why did that change?
-            msg = "cannot add PeriodArray and Timestamp"
-        else:
-            msg = "cannot add PeriodArray and DatetimeArray"
+        msg = "cannot add PeriodArray and DatetimeArray"
+        print(box_with_array)
         with pytest.raises(TypeError, match=msg):
             arr + Series([ts])
         with pytest.raises(TypeError, match=msg):

pandas/tests/arrays/string_/test_string.py

@@ -254,7 +254,7 @@ def test_mul(dtype):
     tm.assert_extension_array_equal(result, expected)
 
 
-@pytest.mark.xfail(reason="GH-28527")
+# @pytest.mark.xfail(reason="GH-28527")
 def test_add_strings(dtype):
     arr = pd.array(["a", "b", "c", "d"], dtype=dtype)
     df = pd.DataFrame([["t", "y", "v", "w"]], dtype=object)