class_docstr: An out-of-graph Replay Buffer for Prioritized Experience Replay.
  
  See circular_replay_buffer.py for details.
class_docstr_tok: ["An","out-of-graph","Replay","Buffer","for","Prioritized","Experience","Replay",".","See","circular_replay_buffer.py","for","details","."]
docstr: Returns a 'type signature' for sample_transition_batch.
  
  Args:
    batch_size: int, number of transitions returned. If None, the default
      batch_size will be used.
  Returns:
    signature: A namedtuple describing the method's return type signature.
docstr_tok: ["Returns","a","'type","signature","'","for","sample_transition_batch",".","Args",":","batch_size",":","int",",","number","of","transitions","returned",".","If","None",",","the","default","batch_size","will","be","used",".","Returns",":","signature",":","A","namedtuple","describing","the","method","'s","return","type","signature","."]
code: def get_transition_elements(self, batch_size=None):
      """Returns a 'type signature' for sample_transition_batch.
  
      Args:
        batch_size: int, number of transitions returned. If None, the default
          batch_size will be used.
      Returns:
        signature: A namedtuple describing the method's return type signature.
      """
      parent_transition_type = super(
          OutOfGraphPrioritizedReplayBuffer, self
      ).get_transition_elements(batch_size)
      probablilities_type = [
          ReplayElement(
              "sampling_probabilities", (batch_size,), np.float32
          )
      ]
      return parent_transition_type + probablilities_type
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from dopamine.replay_memory import circular_replay_buffer
  from dopamine.replay_memory import sum_tree
  from dopamine.replay_memory.circular_replay_buffer import ReplayElement
  import gin.tf
  import numpy
  import tensorflow
label_desc: Use image node_id 8 for calling the OutOfGraphPrioritizedReplayBuffer obj's underlying member method code with example usage: obj.get_transition_elements(batch_size) and returns: unknown