generate one Schlumberger sounding configuration, that is, one set
        of configurations for one potential dipole MN.

        Parameters
        ----------
        M: int
            electrode number for the first potential electrode
        N: int
            electrode number for the second potential electrode
        a: int, optional
            stepping between subsequent voltage electrodes. If not set,
            determine it as a = abs(M - N)

        Returns
        -------
        configs: Kx4 numpy.ndarray
            array holding the configurations

        Examples
        --------

            import reda.configs.configManager as CRconfig
            config = CRconfig.ConfigManager(nr_of_electrodes=40)
            config.gen_schlumberger(M=20, N=21)

def gen_schlumberger(self, M, N, a=None):
        """generate one Schlumberger sounding configuration, that is, one set
        of configurations for one potential dipole MN.

        Parameters
        ----------
        M: int
            electrode number for the first potential electrode
        N: int
            electrode number for the second potential electrode
        a: int, optional
            stepping between subsequent voltage electrodes. If not set,
            determine it as a = abs(M - N)

        Returns
        -------
        configs: Kx4 numpy.ndarray
            array holding the configurations

        Examples
        --------

            import reda.configs.configManager as CRconfig
            config = CRconfig.ConfigManager(nr_of_electrodes=40)
            config.gen_schlumberger(M=20, N=21)

        """
        if a is None:
            a = np.abs(M - N)

        nr_of_steps_left = int(min(M, N) - 1 / a)
        nr_of_steps_right = int((self.nr_electrodes - max(M, N)) / a)
        configs = []
        for i in range(0, min(nr_of_steps_left, nr_of_steps_right)):
            A = min(M, N) - (i + 1) * a
            B = max(M, N) + (i + 1) * a
            configs.append((A, B, M, N))
        configs = np.array(configs)
        self.add_to_configs(configs)
        return configs