docstr: 测试 set_dist_repro_dataloader 中 dist 为 'unrepeatdist'、dataloader.batch_sampler.sampler 为 UnrepeatedSampler
  的表现
  此时应该返回一个新的 dataloader，且重新实例化了原来的 Sampler
docstr_tok: ["\u6d4b\u8bd5","set_dist_repro_dataloader","\u4e2d","dist","\u4e3a","'unrepeatdist'\u3001dataloader.batch_sampler.sampler","\u4e3a","UnrepeatedSampler","\u7684\u8868\u73b0","\u6b64\u65f6\u5e94\u8be5\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684","dataloader\uff0c\u4e14\u91cd\u65b0\u5b9e\u4f8b\u5316\u4e86\u539f\u6765\u7684","Sampler"]
code: def test_with_dist_unrepeat_dataloader_unrepreated_sampler(
      self, shuffle
  ):
      """
      测试 set_dist_repro_dataloader 中 dist 为 'unrepeatdist'、dataloader.batch_sampler.sampler 为 UnrepeatedSampler
      的表现
      此时应该返回一个新的 dataloader，且重新实例化了原来的 Sampler
      """
      driver = generate_driver(10, 10, device=self.device)
      dataloader = dataloader_with_randomsampler(
          self.dataset, 4, shuffle, False, unrepeated=True
      )
      replaced_loader = driver.set_dist_repro_dataloader(
          dataloader, "unrepeatdist", False
      )
  
      assert not (replaced_loader is dataloader)
      assert isinstance(replaced_loader.batch_sampler, BatchSampler)
      assert not (
          replaced_loader.batch_sampler is dataloader.batch_sampler
      )
      assert isinstance(
          replaced_loader.batch_sampler.sampler, UnrepeatedRandomSampler
      )
      assert not (
          replaced_loader.batch_sampler.sampler
          is dataloader.batch_sampler.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.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 13 for calling the TestSetDistReproDataloader obj's underlying member method code with example usage: obj.test_with_dist_unrepeat_dataloader_unrepreated_sampler(shuffle) without return types