class_docstr: The (pre-processed) Stanford Large-Scale 3D Indoor Spaces dataset from
  the `"3D Semantic Parsing of Large-Scale Indoor Spaces"
  <https://openaccess.thecvf.com/content_cvpr_2016/papers/Armeni_3D_Semantic_Parsing_CVPR_2016_paper.pdf>`_
  paper, containing point clouds of six large-scale indoor parts in three
  buildings with 12 semantic elements (and one clutter class).
  
  Args:
      root (str): Root directory where the dataset should be saved.
      test_area (int, optional): Which area to use for testing (1-6).
          (default: :obj:`6`)
      train (bool, optional): If :obj:`True`, loads the training dataset,
          otherwise the test dataset. (default: :obj:`True`)
      transform (callable, optional): A function/transform that takes in an
          :obj:`torch_geometric.data.Data` object and returns a transformed
          version. The data object will be transformed before every access.
          (default: :obj:`None`)
      pre_transform (callable, optional): A function/transform that takes in
          an :obj:`torch_geometric.data.Data` object and returns a
          transformed version. The data object will be transformed before
          being saved to disk. (default: :obj:`None`)
      pre_filter (callable, optional): A function that takes in an
          :obj:`torch_geometric.data.Data` object and returns a boolean
          value, indicating whether the data object should be included in the
          final dataset. (default: :obj:`None`)
      force_reload (bool, optional): Whether to re-process the dataset.
          (default: :obj:`False`)
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code: def processed_file_names(self) -> List[str]:
      return [
          f"{split}_{self.test_area}.pt" for split in ["train", "test"]
      ]
  
file_path: pytorch_geometric/torch_geometric/datasets/s3dis.py
imports: import os
  import os.path
  from typing import Callable, List, Optional
  import torch
  from torch_geometric.data import Data, InMemoryDataset, download_url, extract_zip
  from torch_geometric.io import fs
label_desc: Use image node_id 3 for calling the S3DIS obj's underlying member method code with example usage: obj.processed_file_names() and returns: unknown