4496dd6316615a1e6c940e0c911aa74d7cae0d2b,deepchem/molnet/load_function/hopv_datasets.py,,load_hopv,#Any#Any#Any#,12

Before Change

    deepchem.utils.download_url(
        "http://deepchem.io.s3-website-us-west-1.amazonaws.com/datasets/hopv.tar.gz"
    )
    os.system("tar -zxvf " + os.path.join(data_dir, "hopv.tar.gz") + " -C " +
              data_dir)

  hopv_tasks = [
      "HOMO", "LUMO", "electrochemical_gap", "optical_gap", "PCE", "V_OC",

After Change

  Load HOPV datasets. Does not do train/test split
  // Featurize HOPV dataset
  print("About to featurize HOPV dataset.")
  data_dir = deepchem.utils.get_data_dir()
  if reload:
    save_dir = os.path.join(data_dir, "hopv/" + featurizer + "/" + split)

  dataset_file = os.path.join(data_dir, "hopv.csv")
  if not os.path.exists(dataset_file):
    deepchem.utils.download_url(
        "http://deepchem.io.s3-website-us-west-1.amazonaws.com/datasets/hopv.tar.gz"
    )
    deepchem.utils.untargz_file(
        os.path.join(data_dir, "hopv.tar.gz"), data_dir)

  hopv_tasks = [
      "HOMO", "LUMO", "electrochemical_gap", "optical_gap", "PCE", "V_OC",

Instances