def test_clustering_sample_simple_5(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 8, 0,
[15, 15, 15, 15], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 7, 0,
[15, 15, 15, 15], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 6, 0,
[15, 15, 15, 15], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 5, 0,
[15, 15, 15, 15], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 1, 0,
[60], 0, False)
def test_clustering_sample_simple_2(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 7, 0,
[5, 8, 10], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 6, 0,
[5, 8, 10], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 1, 0,
[23], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 6, 500,
[], 23, False)
def test_clustering_sample_simple_10(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE10, 8, 0,
[11, 11, 11], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE10, 7, 0,
[11, 11, 11], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE10, 2, 0,
[33], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE10, 1, 0,
[33], 0, False)
def test_clustering_sample_simple_1(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 8, 0,
[5, 5], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 7, 0,
[5, 5], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 6, 0,
[5, 5], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 5, 0,
[5, 5], 0, False)
def test_clustering_similar_points(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 8, 0,
[5, 5, 5], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 7, 0,
[5, 5, 5], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 5, 0,
[5, 5, 5], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 2, 0,
[15], 0, False)
def test_clustering_sample_simple_3(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 9, 0,
[10, 10, 10, 30], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 8, 0,
[10, 10, 10, 30], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 1, 0,
[60], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 6, 500,
[], 60, False)
def test_clustering_zero_column(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE13, 3, 0,
[5, 5], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE13, 2, 0,
[5, 5], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE13, 1, 0,
[10], 0, False)
def test_clustering_sample_simple_1_noise_only(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 6, 1000,
[], 10, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 6, 10,
[], 10, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 5,
[], 10, False)
def test_clustering_three_dimensional_data1(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 6, 0,
[10, 10], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 5, 0,
[10, 10], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 1, 0,
[20], 0, False)
def test_clustering_one_dimensional_data1(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, 4, 0,
[10, 10], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, 2, 0,
[20], 0, False)
def test_clustering_one_dimensional_data_3_similar(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 7, 0, [10, 20], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 2, 0, [30], 0, False)
def test_clustering_sample_simple_10(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE10, 8, 0, [11, 11, 11], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE10, 7, 0, [11, 11, 11], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE10, 2, 0, [33], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE10, 1, 0, [33], 0, False)
def test_clustering_fcps_hepta_by_core(self):
clique_test_template.clustering(FCPS_SAMPLES.SAMPLE_HEPTA, 9, 0, [30, 30, 30, 30, 30, 30, 32], 0, True)
def test_clustering_one_dimensional_data2(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE8, 15, 0, [15, 20, 30, 80], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE8, 2, 0, [145], 0, False)
def test_processing_when_library_core_corrupted(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 8, 0,
[5, 5], 0, True)
def test_clustering_fcps_lsun(self):
clique_test_template.clustering(FCPS_SAMPLES.SAMPLE_LSUN, 15, 0, [100, 101, 202], 0, False)
def test_clustering_fcps_lsun(self):
clique_test_template.clustering(FCPS_SAMPLES.SAMPLE_LSUN, 15, 0,
[100, 101, 202], 0, False)
def test_clustering_sample_simple_4_one_cluster_by_core(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE4, 1, 0,
[75], 0, True)
def test_clustering_sample_simple_1_noise_only(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 6, 1000, [], 10, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 6, 10, [], 10, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 5, [], 10, False)
def test_clustering_sample_simple_2(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 7, 0, [5, 8, 10], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 6, 0, [5, 8, 10], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 1, 0, [23], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 6, 500, [], 23, False)
def test_clustering_diagonal_blocks_arent_neoghbors(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 0, [5, 5], 0, False)
def test_clustering_sample_simple_1(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 8, 0, [5, 5], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 7, 0, [5, 5], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 6, 0, [5, 5], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 5, 0, [5, 5], 0, False)
def test_clustering_fcps_hepta(self):
clique_test_template.clustering(FCPS_SAMPLES.SAMPLE_HEPTA, 9, 0, [30, 30, 30, 30, 30, 30, 32], 0, False)
def test_clustering_one_dimensional_data2(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE8, 15, 0,
[15, 20, 30, 80], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE8, 2, 0,
[145], 0, False)
def test_clustering_fcps_hepta_by_core(self):
clique_test_template.clustering(FCPS_SAMPLES.SAMPLE_HEPTA, 9, 0,
[30, 30, 30, 30, 30, 30, 32], 0, True)
def test_clustering_one_dimensional_data_3_similar(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 7, 0,
[10, 20], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 2, 0,
[30], 0, False)
def test_clustering_similar_points(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 8, 0, [5, 5, 5], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 7, 0, [5, 5, 5], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 5, 0, [5, 5, 5], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 2, 0, [15], 0, False)
def test_clustering_sample_simple_4_one_cluster_by_core(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE4, 1, 0, [75], 0, True)
def test_clustering_zero_column(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE13, 3, 0, [5, 5], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE13, 2, 0, [5, 5], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE13, 1, 0, [10], 0, False)
def test_clustering_sample_simple_3(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 9, 0, [10, 10, 10, 30], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 8, 0, [10, 10, 10, 30], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 1, 0, [60], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 6, 500, [], 60, False)
def test_clustering_three_dimensional_data1(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 6, 0, [10, 10], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 5, 0, [10, 10], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 1, 0, [20], 0, False)
def test_clustering_fcps_hepta(self):
clique_test_template.clustering(FCPS_SAMPLES.SAMPLE_HEPTA, 9, 0,
[30, 30, 30, 30, 30, 30, 32], 0, False)
def test_clustering_sample_simple_3_one_point_noise(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 2, 9, [59], 1, False)
def test_clustering_diagonal_blocks_arent_neoghbors(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 0,
[5, 5], 0, False)
def test_clustering_sample_simple_4_one_cluster(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE4, 1, 0,
[75], 0, False)
def test_clustering_sample_simple_4_one_cluster(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE4, 1, 0, [75], 0, False)
def test_processing_when_library_core_corrupted(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 8, 0, [5, 5], 0, True)
def test_clustering_sample_simple_3_one_point_noise(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 2, 9,
[59], 1, False)
def test_clustering_sample_simple_5(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 8, 0, [15, 15, 15, 15], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 7, 0, [15, 15, 15, 15], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 6, 0, [15, 15, 15, 15], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 5, 0, [15, 15, 15, 15], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 1, 0, [60], 0, False)
def test_clustering_one_dimensional_data1(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, 4, 0, [10, 10], 0, False)
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, 2, 0, [20], 0, False)
def run_removed_library_core_test(self):
clique_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 8, 0,
[5, 5], 0, True)
