code: def test_log_model_no_registered_model_name():
      ols = ols_model()
      artifact_path = "model"
      register_model_patch = mock.patch(
          "mlflow.tracking._model_registry.fluent._register_model"
      )
      with mlflow.start_run(), register_model_patch, TempDir(
          chdr=True, remove_on_exit=True
      ) as tmp:
          conda_env = os.path.join(tmp.path(), "conda_env.yaml")
          _mlflow_conda_env(
              conda_env, additional_pip_deps=["statsmodels"]
          )
          mlflow.statsmodels.log_model(
              statsmodels_model=ols.model,
              artifact_path=artifact_path,
              conda_env=conda_env,
          )
          mlflow.tracking._model_registry.fluent._register_model.assert_not_called()
  
imports: import json
  import os
  from pathlib import Path
  from unittest import mock
  import numpy
  import pandas
  import pytest
  import yaml
  import mlflow.pyfunc.scoring_server
  import mlflow.statsmodels
  import mlflow.utils
  from mlflow import pyfunc
  from mlflow.models import Model
  from mlflow.models.utils import _read_example
  from mlflow.store.artifact.s3_artifact_repo import S3ArtifactRepository
  from mlflow.tracking.artifact_utils import _download_artifact_from_uri
  from mlflow.utils.environment import _mlflow_conda_env
  from mlflow.utils.file_utils import TempDir
  from mlflow.utils.model_utils import _get_flavor_configuration
  from tests.helper_functions import _assert_pip_requirements, _compare_conda_env_requirements, _compare_logged_code_paths, _is_available_on_pypi, _mlflow_major_version_string, assert_register_model_called_with_local_model_path, pyfunc_serve_and_score_model
  from tests.statsmodels.model_fixtures import arma_model, gee_model, glm_model, gls_model, glsar_model, ols_model, ols_model_signature, recursivels_model, rolling_ols_model, rolling_wls_model, wls_model
label_desc: Use image node_id 12 for calling a global function with example usage: test_log_model_no_registered_model_name() without return types