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"""!
@brief Integration-tests for BSAS algorithm.
@authors Andrei Novikov (pyclustering@yandex.ru)
@date 2014-2020
@copyright BSD-3-Clause
"""
import unittest;
# Generate images without having a window appear.
import matplotlib;
matplotlib.use('Agg');
from pyclustering.core.tests import remove_library;
from pyclustering.cluster.tests.bsas_templates import bsas_test_template;
from pyclustering.utils.metric import type_metric, distance_metric;
from pyclustering.samples.definitions import SIMPLE_SAMPLES;
class bsas_integration_test(unittest.TestCase):
def testClusteringSampleSimple1(self):
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 1.0, [5, 5], True);
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 10, 1.0, [5, 5], True);
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 10.0, [10], True);
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 1, 1.0, [10], True);
def testClusteringSampleSimple1Euclidean(self):
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 1.0, [5, 5], True, metric=distance_metric(type_metric.EUCLIDEAN));
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 10.0, [10], True, metric=distance_metric(type_metric.EUCLIDEAN));
def testClusteringSampleSimple1EuclideanSquare(self):
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 1.0, [5, 5], True, metric=distance_metric(type_metric.EUCLIDEAN_SQUARE));
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 10.0, [5, 5], True, metric=distance_metric(type_metric.EUCLIDEAN_SQUARE));
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 100.0, [10], True, metric=distance_metric(type_metric.EUCLIDEAN_SQUARE));
def testClusteringSampleSimple1Manhattan(self):
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 1.0, [5, 5], True, metric=distance_metric(type_metric.MANHATTAN));
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 10.0, [10], True, metric=distance_metric(type_metric.MANHATTAN));
def testClusteringSampleSimple1Chebyshev(self):
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 1.0, [5, 5], True, metric=distance_metric(type_metric.CHEBYSHEV));
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 10.0, [10], True, metric=distance_metric(type_metric.CHEBYSHEV));
def testClusteringSampleSimple2(self):
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 3, 1.0, [5, 8, 10], True);
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 3, 10.0, [23], True);
def testClusteringSampleSimple3(self):
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 4, 1.0, [2, 8, 20, 30], True);
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 4, 2.0, [10, 10, 10, 30], True);
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 4, 10.0, [60], True);
def testOneDimentionalPoints1(self):
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, 2, 1.0, [10, 10], True);
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, 2, 10.0, [20], True);
def testOneDimentionalPoints2(self):
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 2, 1.0, [10, 20], True);
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 2, 10.0, [30], True);
def testThreeDimentionalPoints(self):
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 2, 1.0, [10, 10], True);
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 2, 10.0, [20], True);
def testTheSamePoints1(self):
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 3, 1.0, [5, 5, 5], True);
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 30, 1.0, [5, 5, 5], True);
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 3, 10.0, [15], True);
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 1, 1.0, [15], True);
def testTheSamePoints2(self):
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 3, 1.0, [10, 20], True);
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 3, 10.0, [30], True);
def testVisulizeNoFailure(self):
bsas_test_template.visualizing(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 1.0, True);
bsas_test_template.visualizing(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, 2, 1.0, True);
bsas_test_template.visualizing(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 2, 1.0, True);
@remove_library
def testProcessingWhenLibraryCoreCorrupted(self):
bsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 1.0, [5, 5], True);
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