code: def test_mlflow_log_setup(load_pos_and_neg_data):
      """Tests the logging of MLFlow for plots during setup"""
  
      data = load_pos_and_neg_data
  
      exp = TSForecastingExperiment()
      exp.setup(
          data=data,
          fh=12,
          session_id=42,
          log_experiment=True,
          experiment_name="ts_unit_test",
          log_plots=True,
      )
      mlflow_logs = exp.get_logs()
      num_setup = len(mlflow_logs.query("`tags.Source` == 'setup'"))
      assert num_setup == 1
  
label_desc: Use image node_id 2 for calling a global function with example usage: test_mlflow_log_setup(load_pos_and_neg_data) without return types