code: def flatten_states(states):
      states = list(zip(*states))
      assert len(states) == 2
      return [torch.stack(state) for state in states]
  
imports: import numbers
  import warnings
  from collections import namedtuple
  from typing import List, Tuple
  import torch
  import torch.jit
  import torch.nn
  from torch import Tensor
  from torch.nn import Parameter
label_desc: Use image node_id 5 for calling a global function with example usage: flatten_states(states) and returns: unknown