code: def dag_module() -> gpflow.models.GPModel:
      dag = create_model()
      dag.kernel.variance = dag.kernel.lengthscales
      return dag
  
imports: from typing import Any, Callable, Mapping, Optional, Type
  import numpy
  import pytest
  import tensorflow
  from _pytest.fixtures import SubRequest
  from packaging.version import Version
  import gpflow
  from gpflow.base import AnyNDArray
  from gpflow.config import Config, as_context
  from gpflow.utilities import set_trainable
  from gpflow.utilities.traversal import _merge_leaf_components, leaf_components, tabulate_module_summary
label_desc: Use image node_id 5 for calling a global function with example usage: dag_module() and returns: dag