a5e0d49ea4234a6692f3504f24d558902f9a91c2,tslearn/datasets.py,UCR_UEA_datasets,load_dataset,#UCR_UEA_datasets#Any#,179

Before Change

                if os.path.exists(os.path.join(full_path, fname)):
                    os.remove(os.path.join(full_path, fname))
            extract_from_zip_url(url, target_dir=self._data_dir, verbose=False)
            data_train = numpy.loadtxt(os.path.join(full_path, fname_train), delimiter=",")
            data_test = numpy.loadtxt(os.path.join(full_path, fname_test), delimiter=",")
        X_train = to_time_series_dataset(data_train[:, 1:])
        y_train = data_train[:, 0].astype(numpy.int)
        X_test = to_time_series_dataset(data_test[:, 1:])

After Change

            data_train = numpy.loadtxt(os.path.join(full_path, fname_train), delimiter=",")
            data_test = numpy.loadtxt(os.path.join(full_path, fname_test), delimiter=",")
        except:
            return None, None, None, None
        X_train = to_time_series_dataset(data_train[:, 1:])
        y_train = data_train[:, 0].astype(numpy.int)
        X_test = to_time_series_dataset(data_test[:, 1:])
        y_test = data_test[:, 0].astype(numpy.int)

Instances