code: def extract_gz(path, folder, log=True):
      maybe_log(path, log)
      with gzip.open(path, "r") as r:
          with open(
              osp.join(
                  folder,
                  ".".join(os.path.basename(path).split(".")[:-1]),
              ),
              "wb",
          ) as w:
              w.write(r.read())
  
imports: import os
  import re
  import torch
  import numpy
  from torch_geometric.utils import dense_to_sparse
  from torch_geometric.data import Data, InMemoryDataset, download_url
  import os.path
  import zipfile
  import gzip
label_desc: Use image node_id 2 for calling a global function with example usage: extract_gz(path, folder, log) without return types