code: def _datetimelike_compat(func: F) -> F:
      """
      Wrapper to handle datetime64 and timedelta64 dtypes.
      """
  
      @wraps(func)
      def new_func(values, limit=None, mask=None):
          if needs_i8_conversion(values.dtype):
              if mask is None:
                  # This needs to occur before casting to int64
                  mask = isna(values)
  
              result, mask = func(
                  values.view("i8"), limit=limit, mask=mask
              )
              return result.view(values.dtype), mask
  
          return func(values, limit=limit, mask=mask)
  
      return cast(F, new_func)
  
imports: from __future__ import annotations
  from functools import partial, wraps
  from typing import TYPE_CHECKING, Any, cast
  import numpy
  from pandas._libs import NaT, algos, lib
  from pandas._typing import ArrayLike, Axis, AxisInt, F, npt
  from pandas.compat._optional import import_optional_dependency
  from pandas.core.dtypes.cast import infer_dtype_from
  from pandas.core.dtypes.common import is_array_like, is_numeric_v_string_like, is_object_dtype, needs_i8_conversion
  from pandas.core.dtypes.missing import is_valid_na_for_dtype, isna, na_value_for_dtype
label_desc: Use image node_id 17 for calling a global function with example usage: _datetimelike_compat(func) and returns: cast, func, result,  mask