code: def __init__(self):
      super().__init__()
      self.max_size = (MemoryGranularity.Transitions, 1000000)
      self.alpha = 0.6
      self.beta = ConstantSchedule(0.4)
      self.epsilon = 1e-6
  
imports: import operator
  import random
  from enum import Enum
  from typing import List, Tuple, Any
  import numpy
  from rl_coach.core_types import Transition
  from rl_coach.memories.memory import MemoryGranularity
  from rl_coach.memories.non_episodic.experience_replay import ExperienceReplayParameters, ExperienceReplay
  from rl_coach.schedules import Schedule, ConstantSchedule
label_desc: Use image node_id 1 to create a new PrioritizedExperienceReplayParameters object from inherited base classes: ExperienceReplayParameters with example: obj = PrioritizedExperienceReplayParameters()