docstr: 测试替换得到的 sampler 或 batch_sampler 的分布式设置是否正确
docstr_tok: ["\u6d4b\u8bd5\u66ff\u6362\u5f97\u5230\u7684","sampler","\u6216","batch_sampler","\u7684\u5206\u5e03\u5f0f\u8bbe\u7f6e\u662f\u5426\u6b63\u786e"]
code: def check_distributed_sampler(self, sampler):
      """
      测试替换得到的 sampler 或 batch_sampler 的分布式设置是否正确
      """
      assert sampler.num_replicas == dist_env.get_world_size()
      assert sampler.rank == dist_env.get_rank()
      if not isinstance(sampler, UnrepeatedSampler):
          assert sampler.pad == True
  
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 15 for calling the TestSetDistReproDataloader obj's underlying member method code with example usage: obj.check_distributed_sampler(sampler) without return types