docstr: 测试 set_dist_repro_dataloader 中 dist 为 'dist'、dataloader.batch_sampler 为 ReproducibleBatchSampler
  的表现
  此时应该返回一个新的 dataloader，其batch_sampler 和原 dataloader 相同，且应该正确地设置了分布式相关的属性
docstr_tok: ["\u6d4b\u8bd5","set_dist_repro_dataloader","\u4e2d","dist","\u4e3a","'dist'\u3001dataloader.batch_sampler","\u4e3a","ReproducibleBatchSampler","\u7684\u8868\u73b0","\u6b64\u65f6\u5e94\u8be5\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684","dataloader\uff0c\u5176batch_sampler","\u548c\u539f","dataloader","\u76f8\u540c\uff0c\u4e14\u5e94\u8be5\u6b63\u786e\u5730\u8bbe\u7f6e\u4e86\u5206\u5e03\u5f0f\u76f8\u5173\u7684\u5c5e\u6027"]
code: def test_with_dist_dist_dataloader_reproducible_batch_sampler(
      self, shuffle
  ):
      """
      测试 set_dist_repro_dataloader 中 dist 为 'dist'、dataloader.batch_sampler 为 ReproducibleBatchSampler
      的表现
      此时应该返回一个新的 dataloader，其batch_sampler 和原 dataloader 相同，且应该正确地设置了分布式相关的属性
      """
      driver = generate_driver(10, 10, device=self.device)
      dataloader = DataLoader(
          dataset=self.dataset,
          batch_sampler=BucketedBatchSampler(
              self.dataset,
              self.dataset._data,
              batch_size=4,
              shuffle=shuffle,
          ),
      )
      dataloader = dataloader_with_bucketedbatchsampler(
          self.dataset, self.dataset._data, 4, shuffle, False
      )
      replaced_loader = driver.set_dist_repro_dataloader(
          dataloader, "dist", False
      )
  
      assert not (replaced_loader is dataloader)
      assert isinstance(
          replaced_loader.batch_sampler, BucketedBatchSampler
      )
      assert not (
          replaced_loader.batch_sampler is dataloader.batch_sampler
      )
      assert replaced_loader.batch_sampler.batch_size == 4
      assert replaced_loader.drop_last == dataloader.drop_last
      self.check_distributed_sampler(replaced_loader.batch_sampler)
      comm.barrier()
  
imports: import os
  import sys
  import pytest
  from pathlib import Path
  from fastNLP.core.drivers.oneflow_driver.ddp import OneflowDDPDriver
  from fastNLP import prepare_oneflow_dataloader
  from fastNLP.core.samplers import RandomSampler, UnrepeatedSampler, BucketedBatchSampler, UnrepeatedRandomSampler, UnrepeatedSequentialSampler
  from tests.helpers.models.oneflow_model import OneflowNormalModel_Classification_1
  from tests.helpers.datasets.oneflow_data import OneflowNormalDataset, OneflowNormalXYDataset
  from tests.helpers.utils import recover_logger
  from fastNLP.envs.distributed import rank_zero_rm
  from fastNLP import logger
  from fastNLP.core.drivers.oneflow_driver.dist_utils import fastnlp_oneflow_all_gather
  from fastNLP.envs.imports import _NEED_IMPORT_ONEFLOW
label_desc: Use image node_id 9 for calling the TestSetDistReproDataloader obj's underlying member method code with example usage: obj.test_with_dist_dist_dataloader_reproducible_batch_sampler(shuffle) without return types