code: def setup_method(self):
      self.dataset = TorchNormalDataset(100)
  
imports: import os
  import pytest
  from pathlib import Path
  from fastNLP.core.drivers.torch_driver.ddp import TorchDDPDriver
  from fastNLP import prepare_torch_dataloader
  from fastNLP.core.samplers import RandomSampler, UnrepeatedSampler, BucketedBatchSampler, UnrepeatedRandomSampler, UnrepeatedSequentialSampler
  from tests.helpers.models.torch_model import TorchNormalModel_Classification_1
  from tests.helpers.datasets.torch_data import TorchNormalDataset, TorchNormalXYDataset
  from tests.helpers.utils import magic_argv_env_context, recover_logger, Capturing
  from fastNLP.envs.distributed import rank_zero_rm
  from fastNLP import logger
  from fastNLP.core.drivers.torch_driver.dist_utils import fastnlp_torch_all_gather
  from fastNLP.envs.imports import _NEED_IMPORT_TORCH
label_desc: Use image node_id 2 for calling the TestSetDistReproDataloader obj's underlying member method code with example usage: obj.setup_method() without return types