code: def _prepare_tfx_artifacts(self, n):
      artifacts = [self.put_artifact("MyArtifact") for i in range(n)]
      artifact_type = self.store.get_artifact_type("MyArtifact")
      return artifact_utils.deserialize_artifacts(
          artifact_type, artifacts
      )
  
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 1 for calling the _LineageUtils obj's underlying member method code with example usage: obj._prepare_tfx_artifacts(n) and returns: artifact_utils