def METHOD_NAME(self) -> None:
    runner = nnUNetV2Runner(input_config=self.data_src_cfg, trainer_class_name="nnUNetTrainer_1epoch")
    with skip_if_downloading_fails():
        runner.run(run_train=False, run_find_best_configuration=False, run_predict_ensemble_postprocessing=False)
        runner.train(configs="3d_fullres")
        runner.find_best_configuration(configs="3d_fullres")
        runner.predict_ensemble_postprocessing()