code: def test_call_predict_global_models_multivariate_input_with_covariates(
      self,
  ):
      naive_ensemble = NaiveEnsembleModel(
          [
              RNNModel(12, n_epochs=1, **tfm_kwargs),
              TCNModel(10, 2, n_epochs=1, **tfm_kwargs),
              NBEATSModel(10, 2, n_epochs=1, **tfm_kwargs),
          ]
      )
      naive_ensemble.fit(self.seq1, self.cov1)
      predict_series = [s[:12] for s in self.seq1]
      predict_covariates = [c[:14] for c in self.cov1]
      naive_ensemble.predict(
          n=2, series=predict_series, past_covariates=predict_covariates
      )
  
imports: import numpy
  import pandas
  import pytest
  from darts import TimeSeries
  from darts.logging import get_logger
  from darts.models import ExponentialSmoothing, LinearRegressionModel, NaiveDrift, NaiveEnsembleModel, NaiveSeasonal, StatsForecastAutoARIMA, Theta
  from darts.tests.conftest import tfm_kwargs
  from darts.utils import timeseries_generation
label_desc: Use image node_id 16 for calling the TestEnsembleModels obj's underlying member method code with example usage: obj.test_call_predict_global_models_multivariate_input_with_covariates() without return types