def _check_array(self, X, copy):
        X = check_array(X, accept_sparse=('csr', 'csc'), copy=self.copy,
                        ensure_2d=False, estimator=self, dtype=FLOAT_DTYPES)

        if X.ndim == 1:
            warnings.warn(DEPRECATION_MSG_1D, DeprecationWarning)

        if sparse.issparse(X):
            if self.with_centering:
                raise ValueError(
                    "Cannot center sparse matrices: use `with_centering=False`"
                    " instead. See docstring for motivation and alternatives.")
        return X
Don't warn when a variable included in tuple unpacking is unused.
dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/preprocessing/data.py/RobustScaler._check_array--crossover with--dataset/ETHPy150Open timothycrosley/frosted/frosted/test/test_other.py/test_tupleUnpacking