code: def test_explain_with_lags_future_covariates_series_of_same_length_as_target(
      self,
  ):
      model_cls = LightGBMModel if lgbm_available else XGBModel
      model = model_cls(
          lags=4,
          lags_past_covariates=[-1, -2, -3],
          lags_future_covariates=[2],
          output_chunk_length=1,
      )
  
      model.fit(
          series=self.target_ts,
          past_covariates=self.past_cov_ts,
          future_covariates=self.fut_cov_ts,
      )
  
      shap_explain = ShapExplainer(model)
      explanation_results = shap_explain.explain()
      for component in ["power", "price"]:
          explanation = explanation_results.get_explanation(
              horizon=1, component=component
          )
  
          # The fut_cov_ts have the same length as the target_ts. Hence, if we pass lags_future_covariates this means
          # that the last prediction can be made max(lags_future_covariates) time periods before the end of the
          # series (in this case 2 time periods).
          assert (
              explanation.end_time()
              == self.target_ts.end_time() - relativedelta(days=2)
          )
  
imports: import copy
  from datetime import date, timedelta
  import matplotlib.pyplot
  import numpy
  import pandas
  import pytest
  import shap
  import sklearn
  from dateutil.relativedelta import relativedelta
  from numpy.testing import assert_array_equal
  from sklearn.preprocessing import MinMaxScaler
  from darts import TimeSeries
  from darts.dataprocessing.transformers import Scaler
  from darts.explainability.explainability_result import ShapExplainabilityResult
  from darts.explainability.shap_explainer import MIN_BACKGROUND_SAMPLE, ShapExplainer
  from darts.models import CatBoostModel, ExponentialSmoothing, LightGBMModel, LinearRegressionModel, NotImportedModule, RegressionModel, XGBModel
  from darts.utils.timeseries_generation import linear_timeseries
label_desc: Use image node_id 3 for calling the TestShapExplainer obj's underlying member method code with example usage: obj.test_explain_with_lags_future_covariates_series_of_same_length_as_target() without return types