code: def __init__(
      self,
      root: str,
      split: str,
      image_set: str,
      view: str,
      transform: Optional[Callable] = None,
      target_transform: Optional[Callable] = None,
      download: bool = False,
  ) -> None:
      super().__init__(
          os.path.join(root, self.base_folder),
          transform=transform,
          target_transform=target_transform,
      )
  
      self.image_set = verify_str_arg(
          image_set.lower(), "image_set", self.file_dict.keys()
      )
      images_dir, self.filename, self.md5 = self.file_dict[
          self.image_set
      ]
  
      self.view = verify_str_arg(
          view.lower(), "view", ["people", "pairs"]
      )
      self.split = verify_str_arg(
          split.lower(), "split", ["10fold", "train", "test"]
      )
      self.labels_file = f"{self.view}{self.annot_file[self.split]}.txt"
      self.data: List[Any] = []
  
      if download:
          self.download()
  
      if not self._check_integrity():
          raise RuntimeError(
              "Dataset not found or corrupted. You can use download=True to download it"
          )
  
      self.images_dir = os.path.join(self.root, images_dir)
  
imports: import os
  from typing import Any, Callable, Dict, List, Optional, Tuple, Union
  from PIL import Image
  from .utils import check_integrity, download_and_extract_archive, download_url, verify_str_arg
  from .vision import VisionDataset
label_desc: Use image node_id 1 to create a new _LFW object from inherited base classes: VisionDataset with example: obj = _LFW(root, split, image_set, view, transform, target_transform, download)