code: def _is_scalar_or_zero_d_array(val):
      """Return True if given object is scalar or a 0d array.
  
      This is an internal function primarily used by indexing applications that
      need to flatten dimensions that are indexed by 0d arrays.
  
      Parameters
      ----------
      val : object
          Possibly scalar object.
  
      Returns
      -------
      bool
          Return True if given object is scalar.
      """
      return (
          isinstance(val, (np.ndarray, cp.ndarray)) and val.ndim == 0
      ) or is_scalar(val)
  
imports: from __future__ import annotations
  from collections import abc
  from functools import wraps
  from inspect import isclass
  from typing import List, Union
  import cupy
  import numpy
  import pandas
  from pandas.api import types
  import cudf
  from cudf.core._compat import PANDAS_GE_150
  from cudf.core.dtypes import _BaseDtype, dtype, is_categorical_dtype, is_decimal32_dtype, is_decimal64_dtype, is_decimal128_dtype, is_decimal_dtype, is_interval_dtype, is_list_dtype, is_struct_dtype
label_desc: Use image node_id 6 for calling a global function with example usage: _is_scalar_or_zero_d_array(val) and returns: unknown