code: def __init__(
      self,
      datapipe: IterDataPipe[Tuple[str, "IOBase"]],
      skip_first_line: bool = False,
      # pyre-ignore[2]
      **kw,
  ) -> None:
      super().__init__()
      self.datapipe = datapipe
      self.skip_first_line = skip_first_line
      # pyre-ignore[4]
      self.kw = kw
  
imports: import csv
  import math
  import random
  from dataclasses import dataclass
  from functools import partial
  from io import IOBase
  from typing import Any, Callable, Iterable, Iterator, List, Sequence, Tuple, TypeVar
  import torch
  from iopath.common.file_io import PathManager, PathManagerFactory
  from torch.utils.data import functional_datapipe, get_worker_info, IterDataPipe
  from torchrec.sparse.jagged_tensor import KeyedJaggedTensor
  from torchrec.streamable import Pipelineable
label_desc: Use image node_id 1 to create a new ReadLinesFromCSV object from inherited base classes: IterDataPipe with example: obj = ReadLinesFromCSV(datapipe, skip_first_line)