class_docstr: Abstract base class for streaming metrics.
  
  Streaming metrics keep track of the last (upto) K values of the metric in a
  Deque buffer of size K. Calling result() will return the average value of the
  items in the buffer.
code: def reset(self):
      self._buffer.clear()
      if self._batch_size:
          self._reset(self._batch_size)
  
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 2 for calling the StreamingMetric obj's underlying member method code with example usage: obj.reset() without return types