class_docstr: Combines data loaders using the provided sampling ratios
code: def __init__(
      self,
      loaders: Collection[Loader],
      batch_size: int,
      ratios: Sequence[float],
  ):
      self.loaders = loaders
      self.batch_size = batch_size
      self.ratios = ratios
  
imports: import random
  from collections import deque
  from typing import Any, Collection, Deque, Iterable, Iterator, List, Sequence
label_desc: Use image node_id 1 to create a new CombinedDataLoader object  with example: obj = CombinedDataLoader(loaders, batch_size, ratios)