class_docstr: Step a single env in a separate process for lock free paralellism.
class_docstr_tok: ["Step","a","single","env","in","a","separate","process","for","lock","free","paralellism","."]
docstr: Reset the environment.
  
  Args:
    blocking: Whether to wait for the result.
  
  Returns:
    New observation when blocking, otherwise callable that returns the new
    observation.
docstr_tok: ["Reset","the","environment",".","Args",":","blocking",":","Whether","to","wait","for","the","result",".","Returns",":","New","observation","when","blocking",",","otherwise","callable","that","returns","the","new","observation","."]
code: def reset(self, blocking: bool = True) -> Union[ts.TimeStep, Promise]:
      """Reset the environment.
  
      Args:
        blocking: Whether to wait for the result.
  
      Returns:
        New observation when blocking, otherwise callable that returns the new
        observation.
      """
      promise = self.call("reset")
      if blocking:
          return promise()
      else:
          return promise
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import atexit
  import sys
  import traceback
  from typing import Any, Callable, Sequence, Text, Union
  from absl import logging
  import cloudpickle
  import gin
  import numpy
  import tensorflow
  from tf_agents.environments import py_environment
  from tf_agents.system import system_multiprocessing
  from tf_agents.trajectories import time_step
  from tf_agents.typing import types
  from tf_agents.utils import nest_utils
label_desc: Use image node_id 12 for calling the ProcessPyEnvironment obj's underlying member method code with example usage: obj.reset(blocking) and returns: promise, promise