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","."]
docstr: Returns the number of time-steps in completed and incomplete trajectories.
code: def num_time_steps(self):
      """Returns the number of time-steps in completed and incomplete trajectories."""
  
      num_time_steps = sum(
          BatchTrajectory._trajectory_lengths(self.trajectories)
      )
      return num_time_steps + self.num_completed_time_steps
  
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 14 for calling the BatchTrajectory obj's underlying member method code with example usage: obj.num_time_steps() and returns: unknown