class_docstr: 专门测试 set_dist_repro_dataloader 函数的类
class_docstr_tok: ["\u4e13\u95e8\u6d4b\u8bd5","set_dist_repro_dataloader","\u51fd\u6570\u7684\u7c7b"]
docstr: 测试 set_dist_repro_dataloader 参数 dist 不是字符串时的表现，且 dist 是 ReproducibleBatchSampler
  应该返回新的 dataloader，并将 batch_sampler 替换为 dist 对应的 Sampler
  jittor 暂时不支持这种情况，会报错
docstr_tok: ["\u6d4b\u8bd5","set_dist_repro_dataloader","\u53c2\u6570","dist","\u4e0d\u662f\u5b57\u7b26\u4e32\u65f6\u7684\u8868\u73b0\uff0c\u4e14","dist","\u662f","ReproducibleBatchSampler","\u5e94\u8be5\u8fd4\u56de\u65b0\u7684","dataloader\uff0c\u5e76\u5c06","batch_sampler","\u66ff\u6362\u4e3a","dist","\u5bf9\u5e94\u7684","Sampler","jittor","\u6682\u65f6\u4e0d\u652f\u6301\u8fd9\u79cd\u60c5\u51b5\uff0c\u4f1a\u62a5\u9519"]
code: def test_with_dist_batch_sampler(self, shuffle, use_dataloader):
      """
      测试 set_dist_repro_dataloader 参数 dist 不是字符串时的表现，且 dist 是 ReproducibleBatchSampler
      应该返回新的 dataloader，并将 batch_sampler 替换为 dist 对应的 Sampler
      jittor 暂时不支持这种情况，会报错
      """
      dataloader = get_dataloader(
          self.dataset,
          use_dataloader,
          sampler=None,
          batch_size=2,
          shuffle=not shuffle,
      )
      dist = ReproduceBatchSampler(
          JittorBatchSampler(
              JittorRandomSampler(self.dataset), 4, False
          ),
          4,
          False,
      )
  
      with pytest.raises(RuntimeError):
          replaced_loader = self.driver.set_dist_repro_dataloader(
              dataloader, dist=dist, reproducible=False
          )
  
imports: import pytest
  from copy import deepcopy
  from pathlib import Path
  from fastNLP.core.drivers.jittor_driver import JittorSingleDriver
  from fastNLP.core.samplers import ReproduceBatchSampler, RandomSampler
  from fastNLP.core.dataloaders import JittorDataLoader
  from tests.helpers.models.jittor_model import JittorNormalModel_Classification_1
  from tests.helpers.datasets.jittor_data import JittorNormalDataset, JittorNormalXYDataset
  from tests.helpers.datasets.torch_data import TorchNormalDataset
  from tests.helpers.models.torch_model import TorchNormalModel_Classification_1
  from fastNLP.envs.distributed import rank_zero_rm
  from fastNLP.envs.imports import _NEED_IMPORT_JITTOR, _NEED_IMPORT_TORCH
label_desc: Use image node_id 4 for calling the TestSetDistReproDataloader obj's underlying member method code with example usage: obj.test_with_dist_batch_sampler(shuffle, use_dataloader) without return types