code: def _default_row_mapper(
      example: List[str],
  ) -> Dict[str, Union[int, str]]:
      column_names = reversed(DEFAULT_COLUMN_NAMES)
      column_type_casters = reversed(COLUMN_TYPE_CASTERS)
      return {
          next(column_names): next(column_type_casters)(val)
          for val in reversed(example)
      }
  
imports: import os
  import shutil
  import time
  from typing import Any, Callable, Dict, Iterable, Iterator, List, Optional, Tuple, Union
  import numpy
  import torch
  import torch.utils.data.datapipes
  from iopath.common.file_io import PathManager, PathManagerFactory
  from pyre_extensions import none_throws
  from torch.utils.data import IterableDataset, IterDataPipe
  from torchrec.datasets.utils import Batch, LoadFiles, PATH_MANAGER_KEY, ReadLinesFromCSV, safe_cast
  from torchrec.sparse.jagged_tensor import KeyedJaggedTensor
label_desc: Use image node_id 1 for calling a global function with example usage: _default_row_mapper(example) and returns: unknown