code: def __init__(self, *args, **kwargs):
      time_sleep = kwargs.pop("time_sleep", 1.0)
      time.sleep(time_sleep)
      super(SlowStartingEnvironment, self).__init__(*args, **kwargs)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import functools
  import time
  import numpy
  import tensorflow
  from tf_agents.environments import parallel_py_environment
  from tf_agents.environments import py_environment
  from tf_agents.environments import random_py_environment
  from tf_agents.specs import array_spec
  from tf_agents.system import system_multiprocessing
  from tf_agents.trajectories import time_step
label_desc: Use image node_id 1 to create a new SlowStartingEnvironment object from inherited base classes: random_py_environment with example: obj = SlowStartingEnvironment()