How to use the pyclustering.samples.definitions.FCPS_SAMPLES.SAMPLE_LSUN function in pyclustering

def testClusterAllocationSampleLsun(self):
        self.template_cluster_allocation(FCPS_SAMPLES.SAMPLE_LSUN, [100, 101, 202], 3);

def experiment_execution_time(ccore = False):
    template_clustering([[3.7, 5.5], [6.7, 7.5]], SIMPLE_SAMPLES.SAMPLE_SIMPLE1, ccore)
    template_clustering([[3.5, 4.8], [6.9, 7], [7.5, 0.5]], SIMPLE_SAMPLES.SAMPLE_SIMPLE2, ccore)
    template_clustering([[0.2, 0.1], [4.0, 1.0], [2.0, 2.0], [2.3, 3.9]], SIMPLE_SAMPLES.SAMPLE_SIMPLE3, ccore)
    template_clustering([[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)
    template_clustering([[0.0, 1.0], [0.0, 0.0], [1.0, 1.0], [1.0, 0.0]], SIMPLE_SAMPLES.SAMPLE_SIMPLE5, ccore)
    template_clustering([[1.0, 4.5], [3.1, 2.7]], SIMPLE_SAMPLES.SAMPLE_ELONGATE, ccore)
    template_clustering([[1.0, 3.5], [2.0, 0.5], [3.0, 3.0]], FCPS_SAMPLES.SAMPLE_LSUN, ccore)
    template_clustering([[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)
    template_clustering([[0.8, 0.2], [3.0, 0.0]], FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS, ccore)
    template_clustering([[-1.5, 1.5], [1.5, 1.5]], FCPS_SAMPLES.SAMPLE_WING_NUT, ccore)
    template_clustering([[1.1, -1.7, 1.1], [-1.4, 2.5, -1.2]], FCPS_SAMPLES.SAMPLE_CHAINLINK, ccore)
    template_clustering([[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], [0.0, 0.0, -2.5]], FCPS_SAMPLES.SAMPLE_HEPTA, ccore)
    template_clustering([[1, 0, 0], [0, 1, 0], [0, -1, 0], [-1, 0, 0]], FCPS_SAMPLES.SAMPLE_TETRA, ccore)
    template_clustering([[-0.5, -0.5, -0.5], [0.5, 0.5, 0.5]], FCPS_SAMPLES.SAMPLE_ATOM, ccore)
    template_clustering([[0.5, 0.5], [2.3, 2.9]], FCPS_SAMPLES.SAMPLE_ENGY_TIME, ccore)

def cluster_lsun():
    template_clustering([10, 275, 385], FCPS_SAMPLES.SAMPLE_LSUN)

def experiment_execution_time(ccore):
    template_clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 1, 2, 0.5, False, ccore);
    template_clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 1, 3, 0.5, False, ccore);
    template_clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 1, 4, 0.5, False, ccore);
    template_clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE4, 1, 5, 0.5, False, ccore);
    template_clustering(SIMPLE_SAMPLES.SAMPLE_ELONGATE, 1, 2, 0.5, False, ccore);
    template_clustering(FCPS_SAMPLES.SAMPLE_LSUN, 1, 3, 0.5, True, ccore);
    template_clustering(FCPS_SAMPLES.SAMPLE_TARGET, 1.2, 6, 0.2, True, ccore);
    template_clustering(FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS, 0.2, 2, 0.2, True, ccore);
    template_clustering(FCPS_SAMPLES.SAMPLE_WING_NUT, 0.3, 2, 0.2, True, ccore);
    template_clustering(FCPS_SAMPLES.SAMPLE_CHAINLINK, 0.6, 2, 0.2, True, ccore);
    template_clustering(FCPS_SAMPLES.SAMPLE_HEPTA, 1.2, 7, 0.2, True, ccore);
    template_clustering(FCPS_SAMPLES.SAMPLE_TETRA, 0.5, 4, 0.2, True, ccore);
    template_clustering(FCPS_SAMPLES.SAMPLE_ATOM, 15, 2, 0.2, True, ccore)

def cluster_lsun():
    template_clustering(FCPS_SAMPLES.SAMPLE_LSUN, 0.5, 3);

def cluster_lsun():
    start_medians = [[1.0, 3.5], [2.0, 0.5], [3.0, 3.0]]
    template_clustering(start_medians, FCPS_SAMPLES.SAMPLE_LSUN)

def cluster_lsun_more_gaussians():
    template_clustering(FCPS_SAMPLES.SAMPLE_LSUN, 6, ema_init_type.KMEANS_INITIALIZATION);

def kmeans_plusplus_initializer_fcps_lsun():
    template_kmeans_plusplus_initializer(FCPS_SAMPLES.SAMPLE_LSUN, 3)

def som_winner_matrix():
    template_self_organization(SIMPLE_SAMPLES.SAMPLE_ELONGATE, 10, 10, 150, type_conn.func_neighbor, init_radius = 6.0, init_rate = 0.1, awards = True);
    template_self_organization(FCPS_SAMPLES.SAMPLE_LSUN, 10, 10, 200, type_conn.func_neighbor, init_radius = 2.5, init_rate = 0.5, awards = True);
    template_self_organization(FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS, 10, 10, 200, type_conn.func_neighbor, init_radius = 3.0, init_rate = 0.5, awards = True);
    template_self_organization(FCPS_SAMPLES.SAMPLE_TARGET, 10, 10, 200, type_conn.func_neighbor, init_radius = 3.0, init_rate = 0.6, awards = True);
    template_self_organization(FCPS_SAMPLES.SAMPLE_WING_NUT, 10, 10, 200, type_conn.func_neighbor, init_radius = 6.0, awards = True);
    template_self_organization(FCPS_SAMPLES.SAMPLE_CHAINLINK, 10, 10, 200, type_conn.func_neighbor, init_radius = 3.0, init_rate = 0.6, awards = True);
    template_self_organization(FCPS_SAMPLES.SAMPLE_TETRA, 10, 10, 200, type_conn.func_neighbor, init_radius = 3.0, init_rate = 0.6, awards = True);
    template_self_organization(FCPS_SAMPLES.SAMPLE_ENGY_TIME, 10, 10, 100, type_conn.func_neighbor, init_radius = 6.0, awards = True);

def cluster_lsun():
    template_clustering(3, FCPS_SAMPLES.SAMPLE_LSUN, [type_link.CENTROID_LINK, type_link.SINGLE_LINK, type_link.AVERAGE_LINK, type_link.COMPLETE_LINK]);