def METHOD_NAME():
    X = pd.DataFrame({"numerical col": [1, 2]})
    y = pd.Series([0, 1], index=["a", "b"])
    drop_rows_transformer = DropRowsTransformer(indices_to_drop=[100, 1])
    with pytest.raises(ValueError, match="do not exist in input features"):
        drop_rows_transformer.fit(X)
    drop_rows_transformer = DropRowsTransformer(indices_to_drop=[0])
    with pytest.raises(ValueError, match="do not exist in input target"):
        drop_rows_transformer.fit(X, y)