code: def test_replace_batch_sampler():
      dataset = PaddleNormalDataset(10)
      dataloader = DataLoader(dataset, batch_size=32)
      batch_sampler = ReproduceBatchSampler(
          dataloader.batch_sampler, batch_size=16, drop_last=False
      )
  
      replaced_loader = replace_batch_sampler(dataloader, batch_sampler)
  
      assert not (replaced_loader is dataloader)
      assert isinstance(
          replaced_loader.batch_sampler, ReproduceBatchSampler
      )
      assert isinstance(replaced_loader.dataset, PaddleNormalDataset)
      assert len(replaced_loader.dataset) == len(dataset)
      assert replaced_loader.batch_sampler.batch_size == 16
  
imports: import pytest
  from fastNLP.core.drivers.paddle_driver.utils import replace_batch_sampler, replace_sampler
  from fastNLP.core.samplers import ReproduceBatchSampler, RandomSampler
  from fastNLP.envs.imports import _NEED_IMPORT_PADDLE
  from tests.helpers.datasets.paddle_data import PaddleNormalDataset
label_desc: Use image node_id 1 for calling a global function with example usage: test_replace_batch_sampler() without return types