code: def predict(
      self,
      n: int,
      num_samples: int = 1,
      verbose: bool = False,
      show_warnings: bool = True,
  ):
      super().predict(n, num_samples)
      forecast = np.tile(self.mean_val, (n, 1))
      return self._build_forecast_series(forecast)
  
imports: from typing import List, Optional, Sequence, Union
  import numpy
  from darts.logging import get_logger, raise_if, raise_if_not
  from darts.models.forecasting.ensemble_model import EnsembleModel
  from darts.models.forecasting.forecasting_model import ForecastingModel, LocalForecastingModel
  from darts.timeseries import TimeSeries
label_desc: Use image node_id 4 for calling the NaiveMean obj's underlying member method code with example usage: obj.predict(n, num_samples, verbose, show_warnings) and returns: self