docstr: Sampling with fixed seed.
docstr_tok: ["Sampling","with","fixed","seed","."]
code: def __init__(
      self,
      seed=1,
      balance=False,
      class_weights=None,
      balance_domain=False,
  ):
      """Sampling with fixed seed."""
      super(FixedSeedSamplingConfig, self).__init__(
          balance, class_weights, balance_domain
      )
      self._seed = seed
  
imports: import logging
  import numpy
  import torch.utils.data
  import torchvision
  from torch.utils.data.sampler import BatchSampler, RandomSampler
label_desc: Use image node_id 1 to create a new FixedSeedSamplingConfig object from inherited base classes: SamplingConfig with example: obj = FixedSeedSamplingConfig(seed, balance, class_weights, balance_domain)