code: def _put_lineage(self, *path):
      while len(path) >= 2:
          self.put_execution(
              "MyExecution",
              inputs={"in": self._unwrap_mlmd_artifacts(path[0])},
              outputs={"out": self._unwrap_mlmd_artifacts(path[1])},
          )
          path = path[1:]
  
imports: import random
  from absl.testing import parameterized
  import tensorflow
  from tfx.dsl.input_resolution.ops import group_by_lineage_op
  from tfx.dsl.input_resolution.ops import test_utils
  from tfx.orchestration.portable.input_resolution import exceptions
  from tfx.types import artifact_utils
  from tfx.utils import test_case_utils
label_desc: Use image node_id 3 for calling the _LineageUtils obj's underlying member method code with example usage: obj._put_lineage() without return types