code: def test_fit_predict_uncertainty_disabled(
      self, daily_univariate_ts, backend
  ):
      test_days = daily_univariate_ts.shape[0] // 2
      train, future = train_test_split(daily_univariate_ts, test_days)
      for uncertainty in [0, False]:
          forecaster = Prophet(
              uncertainty_samples=uncertainty, stan_backend=backend
          )
          forecaster.fit(train)
          result = forecaster.predict(future)
          expected_cols = [
              "ds",
              "trend",
              "additive_terms",
              "multiplicative_terms",
              "weekly",
              "yhat",
          ]
          assert all(
              col in expected_cols for col in result.columns.tolist()
          )
  
imports: import numpy
  import pandas
  import pytest
  from prophet import Prophet
  from prophet.utilities import warm_start_params
label_desc: Use image node_id 11 for calling the TestProphetFitPredictDefault obj's underlying member method code with example usage: obj.test_fit_predict_uncertainty_disabled(daily_univariate_ts, backend) without return types