def set_jac(self, m, val, row, col):
        """
        Set the values at (row, col) to val in Jacobian m

        :param m: Jacobian name
        :param val: values to set
        :param row: row indices
        :param col: col indices
        :return: None
        """
        assert m in ('Fx', 'Fy', 'Gx', 'Gy', 'Fx0', 'Fy0', 'Gx0', 'Gy0'), \
            'Wrong Jacobian matrix name <{0}>'.format(m)

        if isinstance(val,
                      (int, float)) and isinstance(row,
                                                   (np.ndarray, matrix, list)):
            val = val * ones(len(row), 1)

        self._set[m]['I'] = matrix([self._set[m]['I'], matrix(row)])
        self._set[m]['J'] = matrix([self._set[m]['J'], matrix(col)])
        self._set[m]['V'] = matrix([self._set[m]['V'], matrix(val)])
def set_jac ( self , m , val , row , col ) : assert m in ( 'Fx' , 'Fy' , 'Gx' , 'Gy' , 'Fx0' , 'Fy0' , 'Gx0' , 'Gy0' ) , 'Wrong Jacobian matrix name <{0}>' . format ( m ) if isinstance ( val , ( int , float ) ) and isinstance ( row , ( np . ndarray , matrix , list ) ) : val = val * ones ( len ( row ) , 1 ) self . _set [ m ] [ 'I' ] = matrix ( [ self . _set [ m ] [ 'I' ] , matrix ( row ) ] ) self . _set [ m ] [ 'J' ] = matrix ( [ self . _set [ m ] [ 'J' ] , matrix ( col ) ] ) self . _set [ m ] [ 'V' ] = matrix ( [ self . _set [ m ] [ 'V' ] , matrix ( val ) ] )
Set the values at (row, col) to val in Jacobian m

        :param m: Jacobian name
        :param val: values to set
        :param row: row indices
        :param col: col indices
        :return: None