cmdopt = {'input': '/mnt/data/clinicadl_data_ci/data_ci'}
tmp_path = PosixPath('/local2/ci/tmp/test_transfer_learning_transfe3')
test_name = 'transfer_cnn_multicnn'

    def test_transfer_learning(cmdopt, tmp_path, test_name):
        base_dir = Path(cmdopt["input"])
        input_dir = base_dir / "transferLearning" / "in"
        ref_dir = base_dir / "transferLearning" / "ref"
        tmp_out_dir = tmp_path / "transferLearning" / "out"
        tmp_target_dir = tmp_path / "transferLearning" / "target"
        tmp_out_dir.mkdir(parents=True)
    
        caps_roi_path = input_dir / "caps_roi"
        extract_roi_str = "t1-linear_mode-roi.json"
        labels_path = input_dir / "labels_list" / "2_fold"
        config_path = input_dir / "train_config.toml"
        if test_name == "transfer_ae_ae":
            source_task = [
                "train",
                "reconstruction",
                str(caps_roi_path),
                extract_roi_str,
                str(labels_path),
                str(tmp_out_dir),
                "-c",
                str(config_path),
            ]
            target_task = [
                "train",
                "reconstruction",
                str(caps_roi_path),
                extract_roi_str,
                str(labels_path),
                str(tmp_target_dir),
                "-c",
                str(config_path),
                "--transfer_path",
                str(tmp_out_dir),
            ]
            name = "aeTOae"
        elif test_name == "transfer_ae_cnn":
            source_task = [
                "train",
                "reconstruction",
                str(caps_roi_path),
                extract_roi_str,
                str(labels_path),
                str(tmp_out_dir),
                "-c",
                str(config_path),
            ]
            target_task = [
                "train",
                "classification",
                str(caps_roi_path),
                extract_roi_str,
                str(labels_path),
                str(tmp_target_dir),
                "-c",
                str(config_path),
                "--transfer_path",
                str(tmp_out_dir),
            ]
            name = "aeTOcnn"
        elif test_name == "transfer_cnn_cnn":
            source_task = [
                "train",
                "classification",
                str(caps_roi_path),
                extract_roi_str,
                str(labels_path),
                str(tmp_out_dir),
                "-c",
                str(config_path),
            ]
            target_task = [
                "train",
                "classification",
                str(caps_roi_path),
                extract_roi_str,
                str(labels_path),
                str(tmp_target_dir),
                "-c",
                str(config_path),
                "--transfer_path",
                str(tmp_out_dir),
            ]
            name = "cnnTOcnn"
        elif test_name == "transfer_cnn_multicnn":
            source_task = [
                "train",
                "classification",
                str(caps_roi_path),
                extract_roi_str,
                str(labels_path),
                str(tmp_out_dir),
                "-c",
                str(config_path),
            ]
            target_task = [
                "train",
                "classification",
                str(caps_roi_path),
                extract_roi_str,
                str(labels_path),
                str(tmp_target_dir),
                "-c",
                str(config_path),
                "--transfer_path",
                str(tmp_out_dir),
            ]
            name = "cnnTOcnn"
        else:
            raise NotImplementedError(f"Test {test_name} is not implemented.")
    
        if tmp_out_dir.exists():
            shutil.rmtree(tmp_out_dir)
        if tmp_target_dir.exists():
            shutil.rmtree(tmp_target_dir)
    
        flag_source = not os.system("clinicadl -vvv " + " ".join(source_task))
        flag_target = not os.system("clinicadl -vvv  " + " ".join(target_task))
        assert flag_source
>       assert flag_target
E       assert False

test_transfer_learning.py:144: AssertionError