def _assess_approximation(self, boundary_points, derivs, funcs, nodes, problem):
        """
        Parameters
        ----------
        basis_derivs : list(function)
        basis_funcs : list(function)
        problem : TwoPointBVPLike

        Returns
        -------
        resids : numpy.ndarray

        """
        interior_residuals = self._compute_interior_residuals(derivs, funcs,
                                                              nodes, problem)
        boundary_residuals = self._compute_boundary_residuals(boundary_points,
                                                              funcs, problem)
        return np.hstack(interior_residuals + boundary_residuals)
def _assess_approximation ( self , boundary_points , derivs , funcs , nodes , problem ) : interior_residuals = self . _compute_interior_residuals ( derivs , funcs , nodes , problem ) boundary_residuals = self . _compute_boundary_residuals ( boundary_points , funcs , problem ) return np . hstack ( interior_residuals + boundary_residuals )
Parameters
        ----------
        basis_derivs : list(function)
        basis_funcs : list(function)
        problem : TwoPointBVPLike

        Returns
        -------
        resids : numpy.ndarray