code: def _recompose_possible_states(reduced_memory_states_dict: Dict):
      """Recompose the possible states from the reduced memory states.
  
      Args:
          reduced_memory_states_dict (Dict): The reduced memory states.
      """
      final_states = reduced_memory_states_dict["final_states"]
      previous_actions = reduced_memory_states_dict["previous_actions"]
      possible_states = [
          torch.cat(
              [
                  final_states[i],
                  previous_actions,
              ],
              dim=1,
          )
          for i in range(len(final_states))
      ]
      return possible_states
  
file_path: nebuly/optimization/open_alpha_tensor/open_alpha_tensor/core/actors/stage.py
imports: from typing import Dict, List
  import torch
  from open_alpha_tensor.core.data.utils import get_scalars, map_action_to_triplet
  from open_alpha_tensor.core.modules.alpha_tensor import AlphaTensorModel
label_desc: Use image node_id 5 for calling a global function with example usage: _recompose_possible_states(reduced_memory_states_dict) and returns: possible_states