def jac_vector_scalar(self, x):
        return np.array([
            x[1] * np.cos(x[0] * x[1]) * np.log(x[0]) +
            np.sin(x[0] * x[1]) / x[0],
            x[0] * np.cos(x[0] * x[1]) * np.log(x[0])
        ])
dataset/ETHPy150Open scipy/scipy/scipy/optimize/tests/test__numdiff.py/TestApproxDerivativesDense.jac_vector_scalar/original