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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def calc_inc(self):
 """ Calculate the Newton incrementals for each step Returns ------- matrix The solution to ``x = -A\\b`` """

        system = self.system
        self.newton_call()

        A = sparse([[system.dae.Fx, system.dae.Gx],
                    [system.dae.Fy, system.dae.Gy]])

        inc = matrix([system.dae.f, system.dae.g])

        if system.dae.factorize:
            self.F = self.solver.symbolic(A)
            system.dae.factorize = False

        try:
            N = self.solver.numeric(A, self.F)
            self.solver.solve(A, self.F, N, inc)
        except ValueError:
            logger.warning('Unexpected symbolic factorization.')
            system.dae.factorize = True
        except ArithmeticError:
            logger.warning('Jacobian matrix is singular.')
            system.dae.check_diag(system.dae.Gy, 'unamey')

        return -inc