def test_alignmentOfAlmostEquivalentMessages(self):
alignmentSolution = NeedlemanAndWunsch(8)
nbTest = 1000
for i_test in range(0, nbTest):
common_pattern_before = self.generateRandomString(30, 40)
common_pattern_after = self.generateRandomString(30, 40)
# Generate the content of two messages
data1 = TypeConvertor.stringToNetzobRaw(common_pattern_before +
"hercule" +
common_pattern_after)
data2 = TypeConvertor.stringToNetzobRaw(common_pattern_before +
"thomas" +
common_pattern_after)
# Create the messages
message1 = RawMessage(str(uuid.uuid4()), str(time.time()), data1)
message2 = RawMessage(str(uuid.uuid4()), str(time.time()), data2)
(scores, alignment) = alignmentSolution.alignTwoMessages(
False, message1, message2)
(score1, score2, score3) = scores
(scoresBis, alignment2) = alignmentSolution.alignTwoMessages(
True, message1, message2)
(scoreBis1, scoreBis2, scoreBis3) = scoresBis
self.assertGreater(scoreBis1, score1)
self.assertGreater(scoreBis1, 95)
def test_alignmentOfEquivalentMessages(self):
alignmentSolution = NeedlemanAndWunsch(8)
nbTest = 1000
for i_test in range(0, nbTest):
common_pattern = self.generateRandomString(30, 40)
# Generate the content of two messages
data1 = TypeConvertor.stringToNetzobRaw(common_pattern)
data2 = TypeConvertor.stringToNetzobRaw(common_pattern)
# Create the messages
message1 = RawMessage(str(uuid.uuid4()), str(time.time()), data1)
message2 = RawMessage(str(uuid.uuid4()), str(time.time()), data2)
(scores, alignment) = alignmentSolution.alignTwoMessages(
False, message1, message2)
(score1, score2, score3) = scores
self.assertEqual(score1, 100.0)
self.assertEqual(score2, 100.0)
self.assertEqual(score3, 100.0)
(scores, alignment) = alignmentSolution.alignTwoMessages(
True, message1, message2)
(score1, score2, score3) = scores
self.assertEqual(score1, 100.0)
self.assertEqual(score2, 100.0)
self.assertEqual(score3, 100.0)
def test_alignmentOfAlmostEquivalentMessages(self):
alignmentSolution = NeedlemanAndWunsch(8)
nbTest = 1000
for i_test in range(0, nbTest) :
common_pattern_before = self.generateRandomString(30, 40)
common_pattern_after = self.generateRandomString(30, 40)
# Generate the content of two messages
data1 = TypeConvertor.stringToNetzobRaw(common_pattern_before + "hercule" + common_pattern_after)
data2 = TypeConvertor.stringToNetzobRaw(common_pattern_before + "thomas" + common_pattern_after)
# Create the messages
message1 = RawMessage(uuid.uuid4(), str(time.time()), data1)
message2 = RawMessage(uuid.uuid4(), str(time.time()), data2)
(scores, alignment) = alignmentSolution.alignTwoMessages(False, message1, message2)
(score1, score2, score3) = scores
(scoresBis, alignment2) = alignmentSolution.alignTwoMessages(True, message1, message2)
(scoreBis1, scoreBis2, scoreBis3) = scoresBis
self.assertGreater(scoreBis1, score1)
self.assertGreater(scoreBis1, 95)
def test_alignmentOfEquivalentMessages(self):
alignmentSolution = NeedlemanAndWunsch(8)
nbTest = 1000
for i_test in range(0, nbTest) :
common_pattern = self.generateRandomString(30, 40)
# Generate the content of two messages
data1 = TypeConvertor.stringToNetzobRaw(common_pattern)
data2 = TypeConvertor.stringToNetzobRaw(common_pattern)
# Create the messages
message1 = RawMessage(uuid.uuid4(), str(time.time()), data1)
message2 = RawMessage(uuid.uuid4(), str(time.time()), data2)
(scores, alignment) = alignmentSolution.alignTwoMessages(False, message1, message2)
(score1, score2, score3) = scores
self.assertEqual(score1, 100.0)
self.assertEqual(score2, 100.0)
self.assertEqual(score3, 100.0)
(scores, alignment) = alignmentSolution.alignTwoMessages(True, message1, message2)
(score1, score2, score3) = scores
self.assertEqual(score1, 100.0)
self.assertEqual(score2, 100.0)
self.assertEqual(score3, 100.0)
