code: def _encode_sample(self, idxes):
      b_o, b_a, b_r, b_o_, b_d = [], [], [], [], []
      for i in idxes:
          o, a, r, o_, d = self._storage[i]
          b_o.append(o)
          b_a.append(a)
          b_r.append(r)
          b_o_.append(o_)
          b_d.append(d)
      return (
          np.stack(b_o).astype("float32") * ob_scale,
          np.stack(b_a).astype("int32"),
          np.stack(b_r).astype("float32"),
          np.stack(b_o_).astype("float32") * ob_scale,
          np.stack(b_d).astype("float32"),
      )
  
imports: import argparse
  import operator
  import os
  import random
  import time
  import gym
  import matplotlib.pyplot
  import numpy
  import tensorflow
  import tensorlayer
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: unknown,  np,  np,  unknown,  np