parameters: (arr_or_dtype)
return_statement: return (is_datetime64_dtype(arr_or_dtype) or
              is_datetime64tz_dtype(arr_or_dtype))
docstring: Check whether the provided array or dtype is of the datetime64 dtype.
  
      Parameters
      ----------
      arr_or_dtype : array-like
          The array or dtype to check.
  
      Returns
      -------
      boolean : Whether or not the array or dtype is of the datetime64 dtype.
  
      Examples
      --------
      >>> is_datetime64_any_dtype(str)
      False
      >>> is_datetime64_any_dtype(int)
      False
      >>> is_datetime64_any_dtype(np.datetime64)  # can be tz-naive
      True
      >>> is_datetime64_any_dtype(DatetimeTZDtype("ns", "US/Eastern"))
      True
      >>> is_datetime64_any_dtype(np.array(['a', 'b']))
      False
      >>> is_datetime64_any_dtype(np.array([1, 2]))
      False
      >>> is_datetime64_any_dtype(np.array([], dtype=np.datetime64))
      True
      >>> is_datetime64_any_dtype(pd.DatetimeIndex([1, 2, 3],
                                  dtype=np.datetime64))
      True
docstring_summary: Check whether the provided array or dtype is of the datetime64 dtype.
docstring_tokens: Check whether the provided array or dtype is of the datetime64 dtype .
function: def is_datetime64_any_dtype(arr_or_dtype):
      """
      Check whether the provided array or dtype is of the datetime64 dtype.
  
      Parameters
      ----------
      arr_or_dtype : array-like
          The array or dtype to check.
  
      Returns
      -------
      boolean : Whether or not the array or dtype is of the datetime64 dtype.
  
      Examples
      --------
      >>> is_datetime64_any_dtype(str)
      False
      >>> is_datetime64_any_dtype(int)
      False
      >>> is_datetime64_any_dtype(np.datetime64)  # can be tz-naive
      True
      >>> is_datetime64_any_dtype(DatetimeTZDtype("ns", "US/Eastern"))
      True
      >>> is_datetime64_any_dtype(np.array(['a', 'b']))
      False
      >>> is_datetime64_any_dtype(np.array([1, 2]))
      False
      >>> is_datetime64_any_dtype(np.array([], dtype=np.datetime64))
      True
      >>> is_datetime64_any_dtype(pd.DatetimeIndex([1, 2, 3],
                                  dtype=np.datetime64))
      True
      """
  
      if arr_or_dtype is None:
          return False
      return (is_datetime64_dtype(arr_or_dtype) or
              is_datetime64tz_dtype(arr_or_dtype))
function_tokens: def is_datetime64_any_dtype ( arr_or_dtype ) : if arr_or_dtype is None : return False return ( is_datetime64_dtype ( arr_or_dtype ) or is_datetime64tz_dtype ( arr_or_dtype ) )