code: def get_dataloader(self, dataset: Dataset, identity: str = "Default"):
      batch_preprocessor = self.build_batch_preprocessor()
      reader_options = self.reader_options
      assert reader_options
      data_reader = make_batch_reader(
          # pyre-fixme[16]: `HiveDataSetClass` has no attribute `parquet_url`.
          dataset.parquet_url,
          num_epochs=1,
          reader_pool_type=reader_options.petastorm_reader_pool_type,
      )
      # NOTE: must be wrapped by DataLoaderWrapper to call __exit__() on end of epoch
      dataloader = DataLoader(
          data_reader,
          batch_size=reader_options.minibatch_size,
          collate_fn=collate_and_preprocess(
              batch_preprocessor=batch_preprocessor, use_gpu=False
          ),
      )
      return _closing_iter(dataloader)
  
imports: import abc
  import logging
  import pickle
  from typing import Dict, List, NamedTuple, Optional, Tuple
  from reagent.core.parameters import NormalizationData
  from reagent.data.data_fetcher import DataFetcher
  from reagent.data.oss_data_fetcher import OssDataFetcher
  from reagent.preprocessing.batch_preprocessor import BatchPreprocessor
  from reagent.workflow.types import Dataset, ReaderOptions, ResourceOptions, RewardOptions, TableSpec
  from .reagent_data_module import ReAgentDataModule
label_desc: Use image node_id 13 for calling the ManualDataModule obj's underlying member method code with example usage: obj.get_dataloader(dataset, identity) and returns: _closing_iter