code: def test_partial_dependence_sample_weight_with_recursion():
      """Check that we raise an error when `sample_weight` is provided with
      `"recursion"` method.
      """
      est = RandomForestRegressor()
      (X, y), n_targets = regression_data
      sample_weight = np.ones_like(y)
      est.fit(X, y, sample_weight=sample_weight)
  
      with pytest.raises(
          ValueError,
          match="'recursion' method can only be applied when",
      ):
          partial_dependence(
              est,
              X,
              features=[0],
              method="recursion",
              sample_weight=sample_weight,
          )
  
imports: import warnings
  import numpy
  import pytest
  import sklearn
  from sklearn.base import BaseEstimator, ClassifierMixin, clone, is_regressor
  from sklearn.cluster import KMeans
  from sklearn.compose import make_column_transformer
  from sklearn.datasets import load_iris, make_classification, make_regression
  from sklearn.dummy import DummyClassifier
  from sklearn.ensemble import GradientBoostingClassifier, GradientBoostingRegressor, HistGradientBoostingClassifier, HistGradientBoostingRegressor, RandomForestRegressor
  from sklearn.exceptions import NotFittedError
  from sklearn.inspection import partial_dependence
  from sklearn.inspection._partial_dependence import _grid_from_X, _partial_dependence_brute, _partial_dependence_recursion
  from sklearn.linear_model import LinearRegression, LogisticRegression, MultiTaskLasso
  from sklearn.metrics import r2_score
  from sklearn.pipeline import make_pipeline
  from sklearn.preprocessing import PolynomialFeatures, RobustScaler, StandardScaler, scale
  from sklearn.tree import DecisionTreeRegressor
  from sklearn.tree.tests.test_tree import assert_is_subtree
  from sklearn.utils import _IS_32BIT
  from sklearn.utils._testing import assert_allclose, assert_array_equal
  from sklearn.utils.validation import check_random_state
label_desc: Use image node_id 27 for calling a global function with example usage: test_partial_dependence_sample_weight_with_recursion() without return types