code: def download(dataset):
      url = "https://sparse.tamu.edu/mat/{}/{}.mat"
      for group, name in itertools.chain(long_rows, short_rows):
          if not osp.exists(f"{name}.mat"):
              print(f"Downloading {group}/{name}:")
              wget.download(url.format(group, name))
              print("")
  
file_path: pytorch_sparse/benchmark/main.py
imports: import argparse
  import itertools
  import os.path
  import time
  import torch
  import wget
  from scipy.io import loadmat
  from torch_scatter import scatter_add
  from torch_sparse.tensor import SparseTensor
label_desc: Use image node_id 1 for calling a global function with example usage: download(dataset) without return types