code: def _check_randomness_arg(randomness):
      if randomness not in ["error", "different", "same"]:
          raise RuntimeError(
              f"Only allowed values for randomness are 'error', 'different', or 'same'. Got {randomness}"
          )
  
imports: import torch
  import functools
  import threading
  from torch import Tensor
  from typing import Any, Callable, Optional, Tuple, Union, List
  from torch.utils._pytree import tree_flatten, tree_unflatten, tree_map_, _broadcast_to_and_flatten, TreeSpec
  from functools import partial
  import os
  import itertools
  from torch._C._functorch import _add_batch_dim, _remove_batch_dim, _vmap_decrement_nesting, _vmap_increment_nesting, is_batchedtensor
label_desc: Use image node_id 19 for calling a global function with example usage: _check_randomness_arg(randomness) without return types