code: def _encode_sample(self, idxes):
      obses_t, actions, rewards, obses_tp1, dones = [], [], [], [], []
      for i in idxes:
          data = self._storage[i]
          obs_t, action, reward, obs_tp1, done = data
          obses_t.append(np.array(obs_t, copy=False))
          actions.append(np.array(action, copy=False))
          rewards.append(reward)
          obses_tp1.append(np.array(obs_tp1, copy=False))
          dones.append(done)
      return (
          np.array(obses_t),
          np.array(actions),
          np.array(rewards),
          np.array(obses_tp1),
          np.array(dones),
      )
  
file_path: baselines/baselines/deepq/replay_buffer.py
imports: import numpy
  import random
  from baselines.common.segment_tree import SumSegmentTree, MinSegmentTree
label_desc: Use image node_id 4 for calling the ReplayBuffer obj's underlying member method code with example usage: obj._encode_sample(idxes) and returns: np,  np,  np,  np,  np