code: def process_transitions(transitions):
      transitions = np.array(transitions)
      batch_obs = np.stack(transitions[:, 0].copy())
      batch_act = transitions[:, 1].copy()
      batch_reward = transitions[:, 2].copy()
      batch_next_obs = np.expand_dims(
          np.stack(transitions[:, 3]), axis=1
      )
      batch_next_obs = np.concatenate(
          [batch_obs, batch_next_obs], axis=1
      )[:, 1:, :, :].copy()
      batch_terminal = transitions[:, 4].copy()
      batch = (
          batch_obs,
          batch_act,
          batch_reward,
          batch_next_obs,
          batch_terminal,
      )
      return batch
  
imports: from parl.utils import check_version_for_fluid
  import argparse
  import os
  import pickle
  from collections import deque
  from datetime import datetime
  import gym
  import numpy
  import paddle.fluid
  from tqdm import tqdm
  import parl
  from atari_agent import AtariAgent
  from atari_model import AtariModel
  from parl.utils import logger, summary
  from per_alg import PrioritizedDoubleDQN, PrioritizedDQN
  from proportional_per import ProportionalPER
  from utils import get_player
label_desc: Use image node_id 2 for calling a global function with example usage: process_transitions(transitions) and returns: batch