class_docstr: Basically a batch of active trajectories and a list of completed ones.
class_docstr_tok: ["Basically","a","batch","of","active","trajectories","and","a","list","of","completed","ones","."]
code: def __str__(self):
      string = "BatchTrajectory["
      for i, t in enumerate(self.trajectories):
          string += "Trajectory {} = {}\n".format(i, str(t))
      for i, t in enumerate(self.completed_trajectories):
          string += "Completed Trajectory {} = {}\n".format(i, str(t))
      return string + "]"
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import pickle
  import re
  import sys
  import time
  from absl import logging
  import cloudpickle
  import numpy
  from tensor2tensor.envs import time_step
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling the BatchTrajectory obj's underlying member method code with example usage: obj.__str__() and returns: unknown