def get_parameters(self):
        run_parameters = []
        max_clusters = self.parameters["clustering"]["evaluation"]["maximum_clusters"]
        min_clusters = self.parameters["clustering"]["evaluation"]["minimum_clusters"]
        sizes = range(min_clusters,max_clusters+1,ParametersGenerator.CLUSTERING_SIZE_STEP)
        for one_size in sizes:
            run_parameter = ParametersGenerator.get_base_parameters()
            run_parameter["num_clusters"]  = one_size
            run_parameters.append(run_parameter)

        return run_parameters, []
Subtracting a counter from another gives a counter with the union of all keys and
dataset/ETHPy150Open victor-gil-sepulveda/pyProCT/pyproct/clustering/algorithms/random/parametersGeneration.py/ParametersGenerator.get_parameters--crossover with--dataset/ETHPy150Open rlpy/rlpy/rlpy/Domains/PacmanPackage/util.py/Counter.__sub__