"""!

@brief Test templates for ROCK clustering module.

@authors <NAME> (<EMAIL>)
@date 2014-2020
@copyright BSD-3-Clause

"""


from pyclustering.cluster.rock import rock;

from pyclustering.utils import read_sample;

from random import random;


class RockTestTemplates:
    @staticmethod
    def templateLengthProcessData(path_to_file, radius, cluster_numbers, threshold, expected_cluster_length, ccore):
        sample = read_sample(path_to_file);
        
        rock_instance = rock(sample, radius, cluster_numbers, threshold, ccore);
        rock_instance.process();
        clusters = rock_instance.get_clusters();
        
        length = sum([len(cluster) for cluster in clusters]);
        assert len(sample) == length;
        
        obtained_cluster_sizes = [len(cluster) for cluster in clusters];
        obtained_cluster_sizes.sort();
        expected_cluster_length.sort();
        
        assert obtained_cluster_sizes == expected_cluster_length;


    @staticmethod
    def templateClusterAllocationOneDimensionData(ccore_flag):
        input_data = [ [random()] for i in range(10) ] + [ [random() + 3] for i in range(10) ] + [ [random() + 5] for i in range(10) ] + [ [random() + 8] for i in range(10) ];
        
        rock_instance = rock(input_data, 1, 4, 0.5, ccore_flag);
        rock_instance.process();
        clusters = rock_instance.get_clusters();
        
        assert len(clusters) == 4;
        for cluster in clusters:
            assert len(cluster) == 10;

"""!

@brief Test templates for ROCK clustering module.

@authors <NAME> (<EMAIL>)
@date 2014-2020
@copyright BSD-3-Clause

"""


from pyclustering.cluster.rock import rock;

from pyclustering.utils import read_sample;

from random import random;


class RockTestTemplates:
    @staticmethod
    def templateLengthProcessData(path_to_file, radius, cluster_numbers, threshold, expected_cluster_length, ccore):
        sample = read_sample(path_to_file);
        
        rock_instance = rock(sample, radius, cluster_numbers, threshold, ccore);
        rock_instance.process();
        clusters = rock_instance.get_clusters();
        
        length = sum([len(cluster) for cluster in clusters]);
        assert len(sample) == length;
        
        obtained_cluster_sizes = [len(cluster) for cluster in clusters];
        obtained_cluster_sizes.sort();
        expected_cluster_length.sort();
        
        assert obtained_cluster_sizes == expected_cluster_length;


    @staticmethod
    def templateClusterAllocationOneDimensionData(ccore_flag):
        input_data = [ [random()] for i in range(10) ] + [ [random() + 3] for i in range(10) ] + [ [random() + 5] for i in range(10) ] + [ [random() + 8] for i in range(10) ];
        
        rock_instance = rock(input_data, 1, 4, 0.5, ccore_flag);
        rock_instance.process();
        clusters = rock_instance.get_clusters();
        
        assert len(clusters) == 4;
        for cluster in clusters:
            assert len(cluster) == 10;

!
 
 @brief Test templates for ROCK clustering module.
 
 @authors <NAME> (<EMAIL>)
 @date 2014-2020
 @copyright BSD-3-Clause