code: def __init__(
      self,
      root: str,
      name: str,
      transform: Optional[Callable] = None,
      pre_transform: Optional[Callable] = None,
  ) -> None:
      self.name = name
      self.num_clusters = get_num_clusters(name)
      super().__init__(
          root, transform, pre_transform, pre_filter=None, log=False
      )
      self.is_loaded = False
  
imports: import copy
  import os
  import os.path
  from dataclasses import dataclass
  from functools import cached_property
  from glob import glob
  from pathlib import Path
  from typing import Callable, List, MutableSequence, Optional, Tuple, Union
  import numpy
  import torch
  from torch.utils.data import ConcatDataset, Subset
  from torch_geometric.data import Data, InMemoryDataset, download_url, extract_zip
  from torch_geometric.data.data import BaseData
label_desc: Use image node_id 1 to create a new Partition object from inherited base classes: InMemoryDataset with example: obj = Partition(root, name, transform, pre_transform)