docstr: Adds a replay transition with a blank observation.
  Allows setting action, reward, terminal.
  Args:
    memory: The replay memory.
    action: Integer.
    reward: Float.
    terminal: Integer (0 or 1).
    priority: Float. Defults to standard priority of 1.
  Returns:
    Index of the transition just added.
docstr_tok: ["Adds","a","replay","transition","with","a","blank","observation",".","Allows","setting","action",",","reward",",","terminal",".","Args",":","memory",":","The","replay","memory",".","action",":","Integer",".","reward",":","Float",".","terminal",":","Integer","(","0","or","1",")",".","priority",":","Float",".","Defults","to","standard","priority","of","1",".","Returns",":","Index","of","the","transition","just","added","."]
code: def add_blank(
      self, memory, action=0, reward=0.0, terminal=0, priority=1.0
  ):
      """Adds a replay transition with a blank observation.
      Allows setting action, reward, terminal.
      Args:
        memory: The replay memory.
        action: Integer.
        reward: Float.
        terminal: Integer (0 or 1).
        priority: Float. Defults to standard priority of 1.
      Returns:
        Index of the transition just added.
      """
      dummy = np.zeros(SCREEN_SIZE)
      memory.add(
          observation=dummy,
          action=action,
          reward=reward,
          terminal=terminal,
          priority=priority,
      )
      index = (memory.cursor() - 1) % REPLAY_CAPACITY
      return index
  
file_path: ReAgent/reagent/test/replay_memory/prioritized_replay_buffer_test.py
imports: import unittest
  import numpy
  from reagent.replay_memory import prioritized_replay_buffer
label_desc: Use image node_id 2 for calling the PrioritizedReplayBufferTest obj's underlying member method code with example usage: obj.add_blank(memory, action, reward, terminal, priority) and returns: index