diff --git a/pandas/core/arrays/datetimelike.py b/pandas/core/arrays/datetimelike.py
index 8b6f49cc7d589..2a8cf502de53b 100644
--- a/pandas/core/arrays/datetimelike.py
+++ b/pandas/core/arrays/datetimelike.py
@@ -1192,7 +1192,7 @@ def _add_timedelta_arraylike(self, other):
             self_i8, other_i8, arr_mask=self._isnan, b_mask=other._isnan
         )
         if self._hasnans or other._hasnans:
-            mask = (self._isnan) | (other._isnan)
+            mask = self._isnan | other._isnan
             new_values[mask] = iNaT
 
         return type(self)(new_values, dtype=self.dtype)
diff --git a/pandas/core/arrays/datetimes.py b/pandas/core/arrays/datetimes.py
index db73c84b39cf9..1e879e32bed5f 100644
--- a/pandas/core/arrays/datetimes.py
+++ b/pandas/core/arrays/datetimes.py
@@ -2010,6 +2010,7 @@ def objects_to_datetime64ns(
     utc : bool, default False
         Whether to convert timezone-aware timestamps to UTC.
     errors : {'raise', 'ignore', 'coerce'}
+    require_iso8601 : bool, default False
     allow_object : bool
         Whether to return an object-dtype ndarray instead of raising if the
         data contains more than one timezone.
diff --git a/pandas/core/arrays/period.py b/pandas/core/arrays/period.py
index 15f2842e39875..ed45b4da7279e 100644
--- a/pandas/core/arrays/period.py
+++ b/pandas/core/arrays/period.py
@@ -648,7 +648,7 @@ def _sub_period_array(self, other):
 
         new_values = np.array([self.freq.base * x for x in new_values])
         if self._hasnans or other._hasnans:
-            mask = (self._isnan) | (other._isnan)
+            mask = self._isnan | other._isnan
             new_values[mask] = NaT
         return new_values