code: def test_fit_predict_no_changepoints_mcmc(
      self, daily_univariate_ts, backend
  ):
      test_days = daily_univariate_ts.shape[0] // 2
      train, future = train_test_split(daily_univariate_ts, test_days)
      forecaster = Prophet(
          n_changepoints=0, mcmc_samples=100, stan_backend=backend
      )
      forecaster.fit(train, show_progress=False)
      forecaster.predict(future)
      assert forecaster.params is not None
      assert forecaster.n_changepoints == 0
  
imports: import numpy
  import pandas
  import pytest
  from prophet import Prophet
  from prophet.utilities import warm_start_params
label_desc: Use image node_id 7 for calling the TestProphetFitPredictDefault obj's underlying member method code with example usage: obj.test_fit_predict_no_changepoints_mcmc(daily_univariate_ts, backend) without return types