annoviko / pyclustering

            raise ValueError("Unknown type of metric: '%d'", self.__type)

    def __create_distance_calculator_numpy(self):

        """!

        @brief Creates distance metric calculator that uses numpy.

        @return (callable) Callable object of distance metric calculator.

        """

        if self.__type == type_metric.EUCLIDEAN:

            return euclidean_distance_numpy

        elif self.__type == type_metric.EUCLIDEAN_SQUARE:

            return euclidean_distance_square_numpy

        elif self.__type == type_metric.MANHATTAN:

            return manhattan_distance_numpy

        elif self.__type == type_metric.CHEBYSHEV:

            return chebyshev_distance_numpy

        elif self.__type == type_metric.MINKOWSKI:

            return lambda object1, object2: minkowski_distance_numpy(object1, object2, self.__args.get('degree', 2))

        elif self.__type == type_metric.USER_DEFINED:

            return self.__func

        else:

            raise ValueError("Unknown type of metric: '%d'", self.__type)

        return self.__create_distance_calculator_basic()

    def __create_distance_calculator_basic(self):

        """!

        @brief Creates distance metric calculator.

        @return (callable) Callable object of distance metric calculator.

        """

        if self.__type == type_metric.EUCLIDEAN:

            return euclidean_distance

        elif self.__type == type_metric.EUCLIDEAN_SQUARE:

            return euclidean_distance_square

        elif self.__type == type_metric.MANHATTAN:

            return manhattan_distance

        elif self.__type == type_metric.CHEBYSHEV:

            return chebyshev_distance

        elif self.__type == type_metric.MINKOWSKI:

            return lambda point1, point2: minkowski_distance(point1, point2, self.__args.get('degree', 2))

        elif self.__type == type_metric.USER_DEFINED:

            return self.__func

        else:

            raise ValueError("Unknown type of metric: '%d'", self.__type)

    def __create_distance_calculator_numpy(self):