REF: inline _object_ops

Author: jbrockmendel

pandas/core/arrays/datetimes.py

@@ -236,7 +236,6 @@ def _scalar_type(self) -> type[Timestamp]:
         "is_year_end",
         "is_leap_year",
     ]
-    _object_ops: list[str] = ["freq", "tz"]
     _field_ops: list[str] = [
         "year",
         "month",
@@ -257,7 +256,7 @@ def _scalar_type(self) -> type[Timestamp]:
     ]
     _other_ops: list[str] = ["date", "time", "timetz"]
     _datetimelike_ops: list[str] = (
-        _field_ops + _object_ops + _bool_ops + _other_ops + ["unit"]
+        _field_ops + _bool_ops + _other_ops + ["unit", "freq", "tz"]
     )
     _datetimelike_methods: list[str] = [
         "to_period",

pandas/core/arrays/timedeltas.py

@@ -152,9 +152,8 @@ def _scalar_type(self) -> type[Timedelta]:
     # define my properties & methods for delegation
     _other_ops: list[str] = []
     _bool_ops: list[str] = []
-    _object_ops: list[str] = ["freq"]
     _field_ops: list[str] = ["days", "seconds", "microseconds", "nanoseconds"]
-    _datetimelike_ops: list[str] = _field_ops + _object_ops + _bool_ops + ["unit"]
+    _datetimelike_ops: list[str] = _field_ops + _bool_ops + ["unit", "freq"]
     _datetimelike_methods: list[str] = [
         "to_pytimedelta",
         "total_seconds",