code: def test_fit_predict_no_seasons(self, daily_univariate_ts, backend):
      test_days = 30
      train, _ = train_test_split(daily_univariate_ts, test_days)
      forecaster = Prophet(
          weekly_seasonality=False,
          yearly_seasonality=False,
          stan_backend=backend,
      )
      forecaster.fit(train)
      future = forecaster.make_future_dataframe(
          test_days, include_history=False
      )
      result = forecaster.predict(future)
      assert (future.ds == result.ds).all()
  
imports: import numpy
  import pandas
  import pytest
  from prophet import Prophet
  from prophet.utilities import warm_start_params
label_desc: Use image node_id 5 for calling the TestProphetFitPredictDefault obj's underlying member method code with example usage: obj.test_fit_predict_no_seasons(daily_univariate_ts, backend) without return types