take into account NaT value

Author: droussea2001

pandas/_libs/lib.pyx

@@ -1790,7 +1790,7 @@ cdef class Validator:
                                   "must define is_value_typed")
 
     cdef bint is_valid_null(self, object value) except -1:
-        return value is None or value is C_NA or util.is_nan(value)
+        return value is None or value is C_NA or util.is_nan(value) or value is NaT
         # TODO: include decimal NA?
 
     cdef bint is_array_typed(self) except -1:

pandas/tests/dtypes/test_inference.py

@@ -945,9 +945,9 @@ def test_maybe_convert_objects_nullable_boolean(self):
         tm.assert_extension_array_equal(out, exp)
 
         arr = np.array([True, False, pd.NaT], dtype=object)
-        exp = np.array([True, False, pd.NaT], dtype=object)
+        exp = BooleanArray._from_sequence([True, False, pd.NaT], dtype="boolean")
         out = lib.maybe_convert_objects(arr, convert_to_nullable_dtype=True)
-        tm.assert_numpy_array_equal(out, exp)
+        tm.assert_extension_array_equal(out, exp)
 
     @pytest.mark.parametrize("val", [None, np.nan])
     def test_maybe_convert_objects_nullable_boolean_na(self, val):