code: def test_creation_default_values_in_unity_catalog(
      mock_registry_store,
  ):
      client = MlflowClient(
          tracking_uri="databricks", registry_uri="databricks-uc"
      )
      mock_registry_store.create_model_version.return_value = (
          ModelVersion(
              "name",
              1,
              0,
              1,
              source="source",
              run_id="runid",
          )
      )
      client.create_model_version("name", "source", "runid")
      # verify that registry store was called with tags=[] and run_link=None
      mock_registry_store.create_model_version.assert_called_once_with(
          "name",
          "source",
          "runid",
          [],
          None,
          None,
          local_model_path=None,
      )
      client.create_registered_model(
          name="name", description="description"
      )
      # verify that registry store was called with tags=[]
      mock_registry_store.create_registered_model.assert_called_once_with(
          "name", [], "description"
      )
  
imports: import pickle
  from unittest import mock
  import pytest
  from mlflow import MlflowClient
  from mlflow.entities import ExperimentTag, Run, RunInfo, RunStatus, RunTag, SourceType, ViewType
  from mlflow.entities.metric import Metric
  from mlflow.entities.model_registry import ModelVersion, ModelVersionTag
  from mlflow.entities.model_registry.model_version_status import ModelVersionStatus
  from mlflow.entities.param import Param
  from mlflow.exceptions import MlflowException
  from mlflow.store.model_registry.sqlalchemy_store import SqlAlchemyStore
  from mlflow.store.tracking import SEARCH_MAX_RESULTS_DEFAULT
  from mlflow.store.tracking.sqlalchemy_store import SqlAlchemyStore
  from mlflow.tracking import set_registry_uri
  from mlflow.tracking._model_registry import DEFAULT_AWAIT_MAX_SLEEP_SECONDS
  from mlflow.tracking._model_registry.utils import _get_store_registry
  from mlflow.tracking._tracking_service.utils import _tracking_store_registry
  from mlflow.utils.databricks_utils import _construct_databricks_run_url, get_databricks_runtime
  from mlflow.utils.mlflow_tags import MLFLOW_GIT_COMMIT, MLFLOW_PARENT_RUN_ID, MLFLOW_PROJECT_ENTRY_POINT, MLFLOW_SOURCE_NAME, MLFLOW_SOURCE_TYPE, MLFLOW_USER
label_desc: Use image node_id 32 for calling a global function with example usage: test_creation_default_values_in_unity_catalog(mock_registry_store) without return types