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 `reproducible` 为 False 时的表现
  当dist为字符串时，此时应该返回原来的 dataloader
docstr_tok: ["\u6d4b\u8bd5","set_dist_repro_dataloader","\u53c2\u6570","`","reproducible","`","\u4e3a","False","\u65f6\u7684\u8868\u73b0","\u5f53dist\u4e3a\u5b57\u7b26\u4e32\u65f6\uff0c\u6b64\u65f6\u5e94\u8be5\u8fd4\u56de\u539f\u6765\u7684","dataloader"]
code: def test_with_reproducible_false(self):
      """
      测试 set_dist_repro_dataloader 参数 `reproducible` 为 False 时的表现
      当dist为字符串时，此时应该返回原来的 dataloader
      """
      dataloader = DataLoader(self.dataset, batch_size=2, shuffle=True)
      replaced_loader = self.driver.set_dist_repro_dataloader(
          dataloader, dist="dist", reproducible=False
      )
  
      assert replaced_loader is dataloader
  
imports: import pytest
  from pathlib import Path
  from fastNLP.core.drivers.paddle_driver.single_device import PaddleSingleDriver
  from fastNLP.core.samplers import ReproduceBatchSampler, RandomSampler
  from tests.helpers.models.paddle_model import PaddleNormalModel_Classification_1
  from tests.helpers.datasets.paddle_data import PaddleNormalDataset, PaddleNormalXYDataset
  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_PADDLE, _NEED_IMPORT_TORCH
  from fastNLP import prepare_paddle_dataloader, BucketedBatchSampler
label_desc: Use image node_id 2 for calling the TestSetDistReproDataloader obj's underlying member method code with example usage: obj.test_with_reproducible_false() without return types