code: def _get_obs(self):
      # Before calculating an observation, there could be chance nodes
      # (that may have an effect on the actual observations).
      # E.g. After reset, figure out initial (random) positions of the
      # agents.
      self._solve_chance_nodes()
  
      if self.state.is_terminal():
          return {}
  
      # Sequential game:
      if str(self.type.dynamics) == "Dynamics.SEQUENTIAL":
          curr_player = self.state.current_player()
          return {
              curr_player: np.reshape(
                  self.state.observation_tensor(), [-1]
              )
          }
      # Simultaneous game.
      else:
          assert self.state.current_player() == -2
          return {
              ag: np.reshape(self.state.observation_tensor(ag), [-1])
              for ag in range(self.num_agents)
          }
  
file_path: ray/python/ray/rllib/env/wrappers/open_spiel.py
imports: from typing import Optional
  import numpy
  from gymnasium.spaces import Box, Discrete
  from ray.rllib.env.multi_agent_env import MultiAgentEnv
  from ray.rllib.env.utils import try_import_pyspiel
label_desc: Use image node_id 5 for calling the OpenSpielEnv obj's underlying member method code with example usage: obj._get_obs() and returns: dict, dict, unknown