

def test_random_trees_dense_type():
    hasher = RandomTreesEmbedding(n_estimators=10, sparse_output=False)
    (X, y) = datasets.make_circles(factor=0.5)
    X_transformed = X.fit_transform(X)
    assert_equal(type(X_transformed), np.ndarray)

dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/ensemble/tests/test_forest.py test_random_trees_dense_type/VarMisuse@39/58 `hasher`->`X`