def test_use_static_covariates(self, config, ts):
        """
        Check that both static covariates representations are supported (component-specific and shared)
        for both uni- and multivariate series when fitting the model.
        Also check that the static covariates are present in the forecasted series
        """
        model_cls, kwargs, model_type = config
        model = model_cls(
            train_model(ts, model_type=model_type, quantiles=kwargs["quantiles"]),
            **kwargs,
        )
        assert model.considers_static_covariates
        assert model.supports_static_covariates
        assert model.uses_static_covariates
        pred = model.predict(OUT_LEN)
        assert pred.static_covariates.equals(ts.static_covariates)

        Check that both static covariates representations are supported (component-specific and shared)
        for both uni- and multivariate series when fitting the model.
        Also check that the static covariates are present in the forecasted series
        
darts/tests/models/forecasting/test_conformal_model.py