class_docstr: Counts the number of steps taken in the environment.
code: def __init__(self, name: Text = "EnvironmentSteps"):
      super(EnvironmentSteps, self).__init__(name)
      self._np_state = numpy_storage.NumpyState()
      self.reset()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  from typing import Any, Iterable, Optional, Text
  import gin
  import numpy
  import six
  from tf_agents.metrics import py_metric
  from tf_agents.trajectories import trajectory
  from tf_agents.typing import types
  from tf_agents.utils import nest_utils
  from tf_agents.utils import numpy_storage
label_desc: Use image node_id 1 to create a new EnvironmentSteps object from inherited base classes: py_metric with example: obj = EnvironmentSteps(name)