How to use the pyclustering.samples.definitions.SIMPLE_SAMPLES.SAMPLE_SIMPLE2 function in pyclustering

def testClusteringByCore(self):
        self.templateClusteringResults(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, [5, 5], ccore = True);
        self.templateClusteringResults(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 1, [10], ccore = True);
        self.templateClusteringResults(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 3, [5, 8, 10], ccore = True);
        self.templateClusteringResults(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 1, [23], ccore = True);
        self.templateClusteringResults(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 4, [10, 10, 10, 30], ccore = True);
        self.templateClusteringResults(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 1, [60], ccore = True);
        self.templateClusteringResults(SIMPLE_SAMPLES.SAMPLE_SIMPLE4, 5, [15, 15, 15, 15, 15], ccore = True);
        self.templateClusteringResults(SIMPLE_SAMPLES.SAMPLE_SIMPLE4, 1, [75], ccore = True);
        self.templateClusteringResults(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 4, [15, 15, 15, 15], ccore = True);
        self.templateClusteringResults(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 1, [60], ccore = True);

def testClusterAllocationSampleSimple2(self):
        self.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 1, 3, 0.5, [10, 5, 8]);
        self.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 5, 1, 0.5, [23]);

def testClusterAllocationConnWeightSampleSimple2(self):
        self.templateClustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 2, 0.999, solve_type.FAST, initial_type.RANDOM_GAUSSIAN, True, True, 0.05, conn_represent.MATRIX, [5, 8, 10], False);
        self.templateClustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 10, 0.999, solve_type.FAST, initial_type.RANDOM_GAUSSIAN, True, True, 0.05, conn_represent.MATRIX, [23], False);

def animation_cluster_sample2():
    template_clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2,
                        count_clusters=3,
                        chromosome_count=30,
                        population_count=150,
                        count_mutation_gens=2,
                        select_coeff=0.02,
                        fps=8,
                        animation=True)

def experiment_execution_time(ccore_flag = False):
    template_clustering_performance([[3.7, 5.5]], SIMPLE_SAMPLES.SAMPLE_SIMPLE1, ccore = ccore_flag)
    template_clustering_performance([[3.5, 4.8], [2.6, 2.5]], SIMPLE_SAMPLES.SAMPLE_SIMPLE2, ccore = ccore_flag)
    template_clustering_performance([[0.2, 0.1], [4.0, 1.0]], SIMPLE_SAMPLES.SAMPLE_SIMPLE3, ccore = ccore_flag)
    template_clustering_performance([[1.5, 0.0], [1.5, 2.0], [1.5, 4.0], [1.5, 6.0], [1.5, 8.0]], SIMPLE_SAMPLES.SAMPLE_SIMPLE4, ccore = ccore_flag)
    template_clustering_performance([[0.0, 1.0], [0.0, 0.0]], SIMPLE_SAMPLES.SAMPLE_SIMPLE5, ccore = ccore_flag)
    template_clustering_performance([[1.0, 4.5], [3.1, 2.7]], SIMPLE_SAMPLES.SAMPLE_ELONGATE, ccore = ccore_flag)
    template_clustering_performance([[1.0, 3.5], [2.0, 0.5], [3.0, 3.0]], FCPS_SAMPLES.SAMPLE_LSUN, ccore = ccore_flag)
    template_clustering_performance([[0.2, 0.2], [0.0, -2.0], [3.0, -3.0], [3.0, 3.0], [-3.0, 3.0], [-3.0, -3.0]], FCPS_SAMPLES.SAMPLE_TARGET, ccore = ccore_flag)
    template_clustering_performance([[0.8, 0.2]], FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS, ccore = ccore_flag)
    template_clustering_performance([[-1.5, 1.5], [1.5, 1.5]], FCPS_SAMPLES.SAMPLE_WING_NUT, ccore = ccore_flag)
    template_clustering_performance([[1.1, -1.7, 1.1], [-1.4, 2.5, -1.2]], FCPS_SAMPLES.SAMPLE_CHAINLINK, ccore = ccore_flag)
    template_clustering_performance([[0.0, 0.0, 0.0], [3.0, 0.0, 0.0], [-2.0, 0.0, 0.0], [0.0, 3.0, 0.0], [0.0, -3.0, 0.0], [0.0, 0.0, 2.5]], FCPS_SAMPLES.SAMPLE_HEPTA, ccore = ccore_flag)
    template_clustering_performance([[1, 0, 0], [0, 1, 0], [0, -1, 0], [-1, 0, 0]], FCPS_SAMPLES.SAMPLE_TETRA, ccore = ccore_flag)
    template_clustering_performance([[1, 0, 0], [0, 1, 0], [0, -1, 0], [-1, 0, 0]], FCPS_SAMPLES.SAMPLE_ATOM)

    template_clustering_random_points_performance(1000, 6, ccore_flag)
    template_clustering_random_points_performance(2000, 6, ccore_flag)
    template_clustering_random_points_performance(4000, 6, ccore_flag)

def cluster_sample2():
    template_clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2,
                        count_clusters=3,
                        iterations=300,
                        count_ants=200,
                        pheramone_init=0.1,
                        ro=0.9)

def display_cluster_distances_simple_sample_02():
    display_two_dimensional_cluster_distances(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 3);

def cluster_sample2():
    template_clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 3);

def sample_simple_02():
    elbow_analysis(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 1, 10)
    elbow_analysis(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 1, 10, initializer=random_center_initializer)

def cluster_sample2_without_initial_centers():
    template_clustering(None, SIMPLE_SAMPLES.SAMPLE_SIMPLE2, criterion=splitting_type.BAYESIAN_INFORMATION_CRITERION)
    template_clustering(None, SIMPLE_SAMPLES.SAMPLE_SIMPLE2, criterion=splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH)