def setUp(self): self.phraseVector = { 'project': 1, 'cluster': 1, 'highdimensional': 1, 'streams': 1 } self.phraseTextAndDimensionMap = TwoWayMap() self.phraseTextAndDimensionMap.set(TwoWayMap.MAP_FORWARD, 'project', 0) self.phraseTextAndDimensionMap.set(TwoWayMap.MAP_FORWARD, 'cluster', 1) self.phraseTextToPhraseObjectMap = { 'project': Phrase('project', test_time, score=8), 'cluster': Phrase('cluster', test_time, score=8), 'abcd': Phrase( 'abcd', test_time - 3 * stream_settings['max_phrase_inactivity_time_in_seconds'], score=8) } self.vector = Vector({0: 1, 1: 1, 2: 1, 3: 1}) self.initial_max_dimensions = stream_settings['dimensions'] stream_settings['dimensions'] = 2
def test_pruningConditionRandom(self): phrase1 = Phrase( 'dsf', test_time - 3 * stream_settings['max_phrase_inactivity_time_in_seconds'], 1) phrase2 = Phrase('dsf', test_time, 1) self.assertTrue( UtilityMethods.pruningConditionRandom(phrase1, test_time, **stream_settings)) self.assertFalse( UtilityMethods.pruningConditionRandom(phrase2, test_time, **stream_settings))
def test_pruneUnnecessaryPhrases(self): phraseTextToPhraseObjectMap = { 'dsf': Phrase( 'dsf', test_time - 3 * stream_settings['max_phrase_inactivity_time_in_seconds'], 1), 'abc': Phrase('abc', test_time, 1) } UtilityMethods.pruneUnnecessaryPhrases( phraseTextToPhraseObjectMap, test_time, UtilityMethods.pruningConditionRandom, **stream_settings) self.assertTrue('dsf' not in phraseTextToPhraseObjectMap) self.assertTrue('abc' in phraseTextToPhraseObjectMap)
def test_updateDimensions_when_phraseTextToIdMap_is_filled_to_max_dimensions( self): for phrase, score in zip(['added'], range(10, 11)): self.phraseTextToPhraseObjectMap[phrase] = Phrase(phrase, test_time, score=score) UtilityMethods.updateDimensions(self.phraseTextAndDimensionMap, self.phraseTextToPhraseObjectMap, test_time, **stream_settings) self.assertEqual({ 'project': 0, 'added': 1 }, self.phraseTextAndDimensionMap.getMap(TwoWayMap.MAP_FORWARD))
def test_updateDimensions_when_phrases_with_lower_id_are_removed_from_phraseTextToIdMap( self): stream_settings['dimensions'] = 3 for phrase, score in zip(['new', 'phrases', 'are'], range(100, 103)): self.phraseTextToPhraseObjectMap[phrase] = Phrase(phrase, test_time, score=score) self.phraseTextAndDimensionMap.set(TwoWayMap.MAP_FORWARD, 'cluster', 2) self.phraseTextToPhraseObjectMap['cluster'].score = 100 UtilityMethods.updateDimensions(self.phraseTextAndDimensionMap, self.phraseTextToPhraseObjectMap, test_time, **stream_settings) self.assertEqual( range(3), sorted( self.phraseTextAndDimensionMap.getMap( TwoWayMap.MAP_FORWARD).values()))
def test_updateDimensions_when_dimensions_have_to_be_removed(self): stream_settings['dimensions'] = 4 self.phraseTextAndDimensionMap.set(TwoWayMap.MAP_FORWARD, 'abcdx', 2) self.phraseTextAndDimensionMap.set(TwoWayMap.MAP_FORWARD, 'abcdxy', 3) for phrase, score in zip(['new_text'], range(7, 8)): self.phraseTextToPhraseObjectMap[phrase] = Phrase(phrase, test_time, score=score) self.phraseTextToPhraseObjectMap[ 'cluster'].latestOccuranceTime = test_time - 3 * stream_settings[ 'max_phrase_inactivity_time_in_seconds'] UtilityMethods.updateDimensions(self.phraseTextAndDimensionMap, self.phraseTextToPhraseObjectMap, test_time, **stream_settings) self.assertEqual( set({ 'project': 0, 'new_text': 1 }), set(self.phraseTextAndDimensionMap.getMap(TwoWayMap.MAP_FORWARD)))
def test_updateDimensions_when_phraseTextToIdMap_has_lesser_than_max_dimensions( self): stream_settings['dimensions'] = 4 for phrase, score in zip(['new', 'phrases', 'are', 'added'], range(7, 11)): self.phraseTextToPhraseObjectMap[phrase] = Phrase(phrase, test_time, score=score) UtilityMethods.updateDimensions(self.phraseTextAndDimensionMap, self.phraseTextToPhraseObjectMap, test_time, **stream_settings) self.assertEqual( set({ 'project': 0, 'phrases': 1, 'are': 2, 'added': 3 }), set(self.phraseTextAndDimensionMap.getMap(TwoWayMap.MAP_FORWARD))) self.assertEqual(4, len(self.phraseTextAndDimensionMap))
def setUp(self): self.phrase1 = Phrase('abc', test_time, score=8) self.phrase2 = Phrase('xyz', test_time, score=7)