class_docstr: A suite of sparse matrix benchmarks known as the `Suite Sparse Matrix
  Collection <https://sparse.tamu.edu>`_ collected from a wide range of
  applications.
  
  Args:
      root (str): Root directory where the dataset should be saved.
      group (str): The group of the sparse matrix.
      name (str): The name of the sparse matrix.
      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`)
      force_reload (bool, optional): Whether to re-process the dataset.
          (default: :obj:`False`)
code: def download(self) -> None:
      fs.cp(self.url.format(self.group, self.name), self.raw_dir)
  
file_path: pytorch_geometric/torch_geometric/datasets/suite_sparse.py
imports: import os.path
  from typing import Callable, Optional
  import fsspec
  import torch
  from torch_geometric.data import Data, InMemoryDataset
  from torch_geometric.io import fs
label_desc: Use image node_id 6 for calling the SuiteSparseMatrixCollection obj's underlying member method code with example usage: obj.download() without return types