def test_rogers_tanimoto_dissimilarity_multiple(self): test_logger.debug( "FindNearestTest - test_rogers_tanimoto_dissimilarity_multiple Starts" ) points = [(1, 0, 1, 0, 1, 0), (1, 0, 1, 0, 1, 1), (1, 0, 1, 1, 1, 0)] point = (1, 0, 0, 0, 0, 0) find_nearest = FindNearest(points, point, RogersTanimotoDissimilarity, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(1, 0, 1, 0, 1, 0), (1, 0, 1, 0, 1, 1)], nearest) points = [(1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1), (1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1), (0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1)] point = (0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1) find_nearest = FindNearest(points, point, RogersTanimotoDissimilarity, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1), (1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1)], nearest) test_logger.debug( "FindNearestTest - test_rogers_tanimoto_dissimilarity_multiple Ends" )
def test_algorithm(self): test_logger.debug("FindNearestTest - test_algorithm Starts") points = "abcdef" point = "abcdefg" with self.assertRaises(TypeError) as context: FindNearest(points, point, "") self.assertEqual("You must initialize array and a point", context.exception.message) test_logger.debug("FindNearestTest - test_algorithm Starts")
def test_dice_dissimilarity(self): test_logger.debug("FindNearestTest - test_dice_dissimilarity Starts") points = [(1, 0, 1, 0, 1, 0), (1, 0, 1, 0, 1, 1), (1, 0, 1, 1, 1, 0)] point = (1, 0, 0, 0, 0, 0) find_nearest = FindNearest(points, point, DiceDissimilarity) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals((1, 0, 1, 0, 1, 0), nearest) points = [(1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1), (1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1), (0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1)] point = (0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1) find_nearest = FindNearest(points, point, DiceDissimilarity) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals((0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1), nearest) test_logger.debug("FindNearestTest - test_dice_dissimilarity Ends")
def test_matching_dissimilarity_multiple(self): test_logger.debug("FindNearestTest - test_matching_dissimilarity_multiple Starts") points = [(1, 0, 1, 0, 1, 0), (1, 0, 1, 0, 1, 1), (1, 0, 1, 1, 1, 0)] point = (1, 0, 0, 0, 0, 0) find_nearest = FindNearest(points, point, MatchingDissimilarity, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(1, 0, 1, 0, 1, 0), (1, 0, 1, 0, 1, 1)], nearest) points = [(1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1), (1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1), (0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1)] point = (0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1) find_nearest = FindNearest(points, point, MatchingDissimilarity, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1), (1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1)] , nearest) test_logger.debug("FindNearestTest - test_matching_dissimilarity_multiple Ends")
def test_euclidean_distance(self): test_logger.debug("FindNearestTest - test_euclidean_distance Starts") points = [(1, 0, 1, 0, 1, 0), (1, 0, 1, 0, 1, 1), (1, 0, 1, 1, 1, 0)] point = (1, 0, 0, 0, 0, 0) find_nearest = FindNearest(points, point, EuclideanDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals((1, 0, 1, 0, 1, 0), nearest) points = [(1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1), (1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1), (0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1)] point = (0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1) find_nearest = FindNearest(points, point, EuclideanDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals((0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1), nearest) points = [(2, 3), (3, 4), (4, 5)] point = (0, 1) find_nearest = FindNearest(points, point, EuclideanDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals((2, 3), nearest) points = [(2, 3), (3, 4), (4, 5)] point = (3, 3) find_nearest = FindNearest(points, point, EuclideanDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals((2, 3), nearest) points = [(2, 3), (3, 4), (4, 5)] point = (3, 4) find_nearest = FindNearest(points, point, EuclideanDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals((3, 4), nearest) points = [[1], [5], [10]] point = [8] find_nearest = FindNearest(points, point, EuclideanDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([10], nearest) points = [[1], [5], [10]] point = [17] find_nearest = FindNearest(points, point, EuclideanDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([10], nearest) test_logger.debug("FindNearestTest - test_euclidean_distance Ends")
def test_edit_distance(self): test_logger.debug("FindNearestTest - test_edit_distance Starts") points = ["abcdef", "abcef", "abcde"] point = "abcdefg" find_nearest = FindNearest(points, point, EditDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals("abcdef", nearest) points = ["abcXdef", "abcXef", "abcXde"] point = "abcdefg" find_nearest = FindNearest(points, point, EditDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals("abcXdef", nearest) points = ["abcXdef", "abcXef", "abcXde"] point = "123456" find_nearest = FindNearest(points, point, EditDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals("abcXef", nearest) points = ["abcXdef", "abcXef", "abcXde"] point = "123456 " find_nearest = FindNearest(points, point, EditDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals("abcXdef", nearest) test_logger.debug("FindNearestTest - test_edit_distance Ends")
def test_correlation_distance_multiple(self): test_logger.debug( "FindNearestTest - test_correlation_distance_multiple Starts") points = [(2, 3), (4, 6), (6, 5)] point = (2, 1) find_nearest = FindNearest(points, point, CorrelationDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(6, 5), (2, 3)], nearest) points = [(2, 3), (4, 6), (6, 5)] point = (3, 2) find_nearest = FindNearest(points, point, CorrelationDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(6, 5), (2, 3)], nearest) points = [(2, 3), (4, 6), (6, 5)] point = (3, 1) find_nearest = FindNearest(points, point, CorrelationDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(6, 5), (2, 3)], nearest) test_logger.debug( "FindNearestTest - test_correlation_distance_multiple Ends")
def test_manhattan_distance_multiple(self): test_logger.debug("FindNearestTest - test_manhattan_distance_multiple Starts") points = [(1, 0, 1, 0, 1, 0), (1, 0, 1, 0, 1, 1), (1, 0, 1, 1, 1, 0)] point = (1, 0, 0, 0, 0, 0) find_nearest = FindNearest(points, point, ManhattanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(1, 0, 1, 0, 1, 0), (1, 0, 1, 0, 1, 1)], nearest) points = [(1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1), (1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1), (0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1)] point = (0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1) find_nearest = FindNearest(points, point, ManhattanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1), (1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1)] , nearest) points = [(2, 3), (3, 4), (4, 5)] point = (0, 1) find_nearest = FindNearest(points, point, ManhattanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(2, 3), (3, 4)], nearest) points = [(2, 3), (3, 4), (4, 5)] point = (3, 3) find_nearest = FindNearest(points, point, ManhattanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(2, 3), (2, 3)], nearest) points = [(2, 3), (3, 4), (4, 5)] point = (3, 4) find_nearest = FindNearest(points, point, ManhattanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(3, 4), (2, 3)], nearest) points = [[1], [5], [10]] point = [8] find_nearest = FindNearest(points, point, ManhattanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([[10], [5]], nearest) points = [[1], [5], [10]] point = [17] find_nearest = FindNearest(points, point, ManhattanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([[10], [5]], nearest) test_logger.debug("FindNearestTest - test_manhattan_distance_multiple Ends")
def test_canberra_distance(self): test_logger.debug("FindNearestTest - test_canberra_distance Starts") points = [(2, 3), (3, 4), (4, 5)] point = (0, 0) find_nearest = FindNearest(points, point, CanberraDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals((2, 3), nearest) points = [(2, 3), (3, 4), (4, 5)] point = (3, 3) find_nearest = FindNearest(points, point, CanberraDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals((2, 3), nearest) points = [(2, 3), (3, 4), (4, 5)] point = (3, 4) find_nearest = FindNearest(points, point, CanberraDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals((2, 3), nearest) points = [[1], [5], [10]] point = [8] find_nearest = FindNearest(points, point, CanberraDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([1], nearest) points = [[1], [5], [10]] point = [17] find_nearest = FindNearest(points, point, CanberraDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([1], nearest) test_logger.debug("FindNearestTest - test_canberra_distance Ends")
def test_hamming_distance_multiple(self): test_logger.debug( "FindNearestTest - test_hamming_distance_multiple Starts") points = ["abcdef", "abcefg", "abcdeg"] point = "abcdef" find_nearest = FindNearest(points, point, HammingDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals(['abcdef', 'abcdeg'], nearest) points = ["abcXdef", "abcXefg", "abcXdeg"] point = "abcdefg" find_nearest = FindNearest(points, point, HammingDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals(['abcXefg', 'abcXdeg'], nearest) points = ["abcXdef", "abcXefg", "abcXdeg"] point = "1234567" find_nearest = FindNearest(points, point, HammingDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals(['abcXdef', 'abcXdef'], nearest) points = ["abcXdef", "abcXefg", "abcXdeg"] point = "123456 " find_nearest = FindNearest(points, point, HammingDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals(['abcXdef', 'abcXdef'], nearest) test_logger.debug( "FindNearestTest - test_hamming_distance_multiple Ends")
def test_normalized_squared_euclidean_distance_multiple(self): test_logger.debug( "FindNearestTest - test_normalized_squared_euclidean_distance_multiple Starts" ) points = [(1, 0, 1, 0, 1, 0), (1, 0, 1, 0, 1, 1), (1, 0, 1, 1, 1, 0)] point = (1, 0, 0, 0, 0, 0) find_nearest = FindNearest(points, point, NormalizedSquaredEuclideanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(1, 0, 1, 0, 1, 0), (1, 0, 1, 0, 1, 1)], nearest) points = [(1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1), (1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1), (0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1)] point = (0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1) find_nearest = FindNearest(points, point, NormalizedSquaredEuclideanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1), (1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1)], nearest) points = [(2, 3), (3, 4), (4, 5)] point = (0, 1) find_nearest = FindNearest(points, point, NormalizedSquaredEuclideanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(2, 3), (2, 3)], nearest) points = [(2, 3), (3, 4), (4, 5)] point = (3, 3) find_nearest = FindNearest(points, point, NormalizedSquaredEuclideanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(2, 3), (2, 3)], nearest) points = [(2, 3), (3, 4), (4, 5)] point = (3, 4) find_nearest = FindNearest(points, point, NormalizedSquaredEuclideanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(2, 3), (2, 3)], nearest) test_logger.debug( "FindNearestTest - test_normalized_squared_euclidean_distance_multiple Ends" )
def test_manhattan_distance(self): test_logger.debug("FindNearestTest - test_manhattan_distance Starts") points = [(1, 0, 1, 0, 1, 0), (1, 0, 1, 0, 1, 1), (1, 0, 1, 1, 1, 0)] point = (1, 0, 0, 0, 0, 0) find_nearest = FindNearest(points, point, ManhattanDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals((1, 0, 1, 0, 1, 0), nearest) points = [(1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1), (1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1), (0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1)] point = (0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1) find_nearest = FindNearest(points, point, ManhattanDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals((0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1), nearest) points = [(2, 3), (3, 4), (4, 5)] point = (0, 1) find_nearest = FindNearest(points, point, ManhattanDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals((2, 3), nearest) points = [(2, 3), (3, 4), (4, 5)] point = (3, 3) find_nearest = FindNearest(points, point, ManhattanDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals((2, 3), nearest) points = [(2, 3), (3, 4), (4, 5)] point = (3, 4) find_nearest = FindNearest(points, point, ManhattanDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals((3, 4), nearest) points = [[1], [5], [10]] point = [8] find_nearest = FindNearest(points, point, ManhattanDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([10], nearest) points = [[1], [5], [10]] point = [17] find_nearest = FindNearest(points, point, ManhattanDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([10], nearest) test_logger.debug("FindNearestTest - test_manhattan_distance Ends")
def test_euclidean_distance_multiple(self): test_logger.debug("FindNearestTest - test_euclidean_distance_multiple Starts") points = [(1, 0, 1, 0, 1, 0), (1, 0, 1, 0, 1, 1), (1, 0, 1, 1, 1, 0)] point = (1, 0, 0, 0, 0, 0) find_nearest = FindNearest(points, point, EuclideanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(1, 0, 1, 0, 1, 0), (1, 0, 1, 0, 1, 1)], nearest) points = [(1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1), (1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1), (0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1)] point = (0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1) find_nearest = FindNearest(points, point, EuclideanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1), (1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1)] , nearest) points = [(2, 3), (3, 4), (4, 5)] point = (0, 1) find_nearest = FindNearest(points, point, EuclideanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(2, 3), (3, 4)], nearest) points = [(2, 3), (3, 4), (4, 5)] point = (3, 3) find_nearest = FindNearest(points, point, EuclideanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(2, 3), (2, 3)], nearest) points = [(2, 3), (3, 4), (4, 5)] point = (3, 4) find_nearest = FindNearest(points, point, EuclideanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(3, 4), (2, 3)], nearest) points = [[1], [5], [10]] point = [8] find_nearest = FindNearest(points, point, EuclideanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([[10], [5]], nearest) points = [[1], [5], [10]] point = [17] find_nearest = FindNearest(points, point, EuclideanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([[10], [5]], nearest) test_logger.debug("FindNearestTest - test_euclidean_distance_multiple Ends")
def test_hamming_distance_multiple(self): test_logger.debug("FindNearestTest - test_hamming_distance_multiple Starts") points = ["abcdef", "abcefg", "abcdeg"] point = "abcdef" find_nearest = FindNearest(points, point, HammingDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals(['abcdef', 'abcdeg'], nearest) points = ["abcXdef", "abcXefg", "abcXdeg"] point = "abcdefg" find_nearest = FindNearest(points, point, HammingDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals(['abcXefg', 'abcXdeg'], nearest) points = ["abcXdef", "abcXefg", "abcXdeg"] point = "1234567" find_nearest = FindNearest(points, point, HammingDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals(['abcXdef', 'abcXdef'], nearest) points = ["abcXdef", "abcXefg", "abcXdeg"] point = "123456 " find_nearest = FindNearest(points, point, HammingDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals(['abcXdef', 'abcXdef'], nearest) test_logger.debug("FindNearestTest - test_hamming_distance_multiple Ends")
def test_correlation_distance(self): test_logger.debug("FindNearestTest - test_correlation_distance Starts") points = [(2, 3), (3, 4), (4, 5)] point = (2, 1) find_nearest = FindNearest(points, point, CorrelationDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals((2, 3), nearest) points = [(2, 3), (3, 4), (4, 5)] point = (3, 2) find_nearest = FindNearest(points, point, CorrelationDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals((2, 3), nearest) points = [(2, 3), (3, 4), (4, 5)] point = (3, 4) find_nearest = FindNearest(points, point, CorrelationDistance) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals((2, 3), nearest) test_logger.debug("FindNearestTest - test_correlation_distance Ends")
def test_correlation_distance_multiple(self): test_logger.debug("FindNearestTest - test_correlation_distance_multiple Starts") points = [(2, 3), (4, 6), (6, 5)] point = (2, 1) find_nearest = FindNearest(points, point, CorrelationDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(6, 5), (2, 3)], nearest) points = [(2, 3), (4, 6), (6, 5)] point = (3, 2) find_nearest = FindNearest(points, point, CorrelationDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(6, 5), (2, 3)], nearest) points = [(2, 3), (4, 6), (6, 5)] point = (3, 1) find_nearest = FindNearest(points, point, CorrelationDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(6, 5), (2, 3)], nearest) test_logger.debug("FindNearestTest - test_correlation_distance_multiple Ends")
def test_damerau_levenshtein_distance_multiple(self): test_logger.debug( "FindNearestTest - test_damerau_levenshtein_distance_multiple Starts" ) points = ["abcdef", "abcef", "abcde"] point = "abcdefg" find_nearest = FindNearest(points, point, DamerauLevenshteinDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals(['abcdef', 'abcef'], nearest) points = ["abcXdef", "abcXef", "abcXde"] point = "abcdefg" find_nearest = FindNearest(points, point, DamerauLevenshteinDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals(['abcXdef', 'abcXdef'], nearest) points = ["abcXdef", "abcXef", "abcXde"] point = "123456" find_nearest = FindNearest(points, point, DamerauLevenshteinDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals(['abcXef', 'abcXef'], nearest) points = ["abcXdef", "abcXef", "abcXde"] point = "123456 " find_nearest = FindNearest(points, point, DamerauLevenshteinDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals(['abcXdef', 'abcXdef'], nearest) test_logger.debug( "FindNearestTest - test_damerau_levenshtein_distance_multiple Ends" )
def test_normalized_squared_euclidean_distance_multiple(self): test_logger.debug("FindNearestTest - test_normalized_squared_euclidean_distance_multiple Starts") points = [(1, 0, 1, 0, 1, 0), (1, 0, 1, 0, 1, 1), (1, 0, 1, 1, 1, 0)] point = (1, 0, 0, 0, 0, 0) find_nearest = FindNearest(points, point, NormalizedSquaredEuclideanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(1, 0, 1, 0, 1, 0), (1, 0, 1, 0, 1, 1)], nearest) points = [ (1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1), (1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1), (0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1), ] point = (0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1) find_nearest = FindNearest(points, point, NormalizedSquaredEuclideanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals( [(0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1), (1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1)], nearest ) points = [(2, 3), (3, 4), (4, 5)] point = (0, 1) find_nearest = FindNearest(points, point, NormalizedSquaredEuclideanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(2, 3), (2, 3)], nearest) points = [(2, 3), (3, 4), (4, 5)] point = (3, 3) find_nearest = FindNearest(points, point, NormalizedSquaredEuclideanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(2, 3), (2, 3)], nearest) points = [(2, 3), (3, 4), (4, 5)] point = (3, 4) find_nearest = FindNearest(points, point, NormalizedSquaredEuclideanDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals([(2, 3), (2, 3)], nearest) test_logger.debug("FindNearestTest - test_normalized_squared_euclidean_distance_multiple Ends")
def test_damerau_levenshtein_distance_multiple(self): test_logger.debug("FindNearestTest - test_damerau_levenshtein_distance_multiple Starts") points = ["abcdef", "abcef", "abcde"] point = "abcdefg" find_nearest = FindNearest(points, point, DamerauLevenshteinDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals(['abcdef', 'abcef'], nearest) points = ["abcXdef", "abcXef", "abcXde"] point = "abcdefg" find_nearest = FindNearest(points, point, DamerauLevenshteinDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals(['abcXdef', 'abcXdef'], nearest) points = ["abcXdef", "abcXef", "abcXde"] point = "123456" find_nearest = FindNearest(points, point, DamerauLevenshteinDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals(['abcXef', 'abcXef'], nearest) points = ["abcXdef", "abcXef", "abcXde"] point = "123456 " find_nearest = FindNearest(points, point, DamerauLevenshteinDistance, k=2) find_nearest.process() nearest = find_nearest.get_result() self.assertEquals(['abcXdef', 'abcXdef'], nearest) test_logger.debug("FindNearestTest - test_damerau_levenshtein_distance_multiple Ends")