BooleanArray does not support pd.NaT

Author: droussea2001

pandas/_libs/lib.pyx

@@ -1784,7 +1784,7 @@ 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) or value is NaT
+        return value is None or value is C_NA or util.is_nan(value)
         # TODO: include decimal NA?
 
     cdef bint is_array_typed(self) except -1:

pandas/tests/dtypes/test_inference.py

@@ -944,8 +944,9 @@ def test_maybe_convert_objects_nullable_boolean(self):
         out = lib.maybe_convert_objects(arr, convert_to_nullable_dtype=True)
         tm.assert_extension_array_equal(out, exp)
 
-        arr = np.array([True, False, pd.NaT], dtype=object)
-        exp = BooleanArray._from_sequence([True, False, pd.NaT], dtype="boolean")
+        # pd.NaT are not supported in BooleanArray, but pd.NA are supported
+        arr = np.array([True, False, pd.NA], dtype=object)
+        exp = BooleanArray._from_sequence([True, False, pd.NA], dtype="boolean")
         out = lib.maybe_convert_objects(arr, convert_to_nullable_dtype=True)
         tm.assert_extension_array_equal(out, exp)