How to use the elephant.current_source_density_src.KCSD.KCSD1D function in elephant

h : float
            thickness of slice
        basis_func : method
            Fuction of the basis source
        Returns
        -------
        pot : float
        """
        xp, yp, zp = xyz
        return self.int_pot_3D(xp, yp, zp, x, R, h, basis_func)

if __name__ == '__main__':
    print('Checking 1D')
    ele_pos = np.array(([-0.1],[0], [0.5], [1.], [1.4], [2.], [2.3]))
    pots = np.array([[-1], [-1], [-1], [0], [0], [1], [-1.5]])
    k = KCSD1D(ele_pos, pots,
               gdx=0.01, n_src_init=300,
               ext_x=0.0, src_type='gauss')
    k.cross_validate()
    print(k.values())

    print('Checking 2D')
    ele_pos = np.array([[-0.2, -0.2],[0, 0], [0, 1], [1, 0], [1,1], [0.5, 0.5],
                        [1.2, 1.2]])
    pots = np.array([[-1], [-1], [-1], [0], [0], [1], [-1.5]])
    k = KCSD2D(ele_pos, pots,
               gdx=0.05, gdy=0.05,
               xmin=-2.0, xmax=2.0,
               ymin=-2.0, ymax=2.0,
               src_type='gauss')
    k.cross_validate()
    print(k.values())

length of space extension: x_min-ext_x ... x_max+ext_x
                Defaults to 0.
            gdx : float
                space increments in the estimation space
                Defaults to 0.01(xmax-xmin)
            lambd : float
                regularization parameter for ridge regression
                Defaults to 0.
        Raises
        ------
        LinAlgException
            If the matrix is not numerically invertible.
        KeyError
            Basis function (src_type) not implemented. See basis_functions.py for available
        """
        super(KCSD1D, self).__init__(ele_pos, pots, **kwargs)