code: def __init__(self):
      super().__init__()
      self.max_size = (MemoryGranularity.Transitions, 1000000)
      self.n_step = -1
      self.train_to_eval_ratio = 1
  
imports: import ast
  import pickle
  from copy import deepcopy
  import math
  import pandas
  from typing import List, Tuple, Union
  import numpy
  import random
  from rl_coach.core_types import Transition, Episode
  from rl_coach.filters.filter import InputFilter
  from rl_coach.logger import screen
  from rl_coach.memories.memory import Memory, MemoryGranularity, MemoryParameters
  from rl_coach.utils import ReaderWriterLock, ProgressBar
  from rl_coach.core_types import CsvDataset
label_desc: Use image node_id 1 to create a new EpisodicExperienceReplayParameters object from inherited base classes: MemoryParameters with example: obj = EpisodicExperienceReplayParameters()