code: def __init__(self, splits, random_state_seed):
      self.splits = splits
      self.random_state_seed = random_state_seed
      self.seed(random_state_seed)
  
imports: import torch
  import numpy
  from collections import OrderedDict, defaultdict
  from torchmeta.utils.data.task import Task, ConcatTask, SubsetTask
  from torchmeta.transforms.utils import apply_wrapper
label_desc: Use image node_id 1 to create a new Splitter object from inherited base classes: object with example: obj = Splitter(splits, random_state_seed)