def get_parameters(self):
        """
        This function creates some parameters to be used with Gromos.
        @return: A tuple with the generated parameters and an empty list corresponding to the clusterings.
        """
        most_separated = self.get_most_separated_elements()
        central_element =  self.get_most_separated_from_two_elements(most_separated["elements"][0],most_separated["elements"][1])

        step = central_element["value"] / self.max_gen_clusterings
        run_parameters = []
        cutoff = step
        while cutoff in central_element["value"]:
            run_parameter = ParametersGenerator.get_base_parameters()
            run_parameter["cutoff"] = cutoff
            cutoff += step
            run_parameters.append(run_parameter)

        return run_parameters, []
dataset/ETHPy150Open victor-gil-sepulveda/pyProCT/pyproct/clustering/algorithms/gromos/parametersGeneration.py/ParametersGenerator.get_parameters/operator `<` -> `in`