tree_method = 'hist', weighted = True, device = 'cpu'

    def run_adaptive(tree_method: str, weighted: bool, device: Device) -> None:
        """Test for adaptive trees."""
        rng = np.random.RandomState(1994)
        from sklearn.datasets import make_regression
        from sklearn.utils import stats
    
        n_samples = 256
        X, y = make_regression(  # pylint: disable=unbalanced-tuple-unpacking
            n_samples, 16, random_state=rng
        )
        if weighted:
            w = rng.normal(size=n_samples)
            w -= w.min()
            Xy = xgb.DMatrix(X, y, weight=w)
>           base_score = stats._weighted_percentile(  # pylint: disable=protected-access
                y, w, percentile=50
            )
E           TypeError: _weighted_percentile() got an unexpected keyword argument 'percentile'

/home/runner/.local/lib/python3.10/site-packages/xgboost/testing/updater.py:665: TypeError