def testCallbackGenerator(self):
self.src_templates = []
self.dst_templates = []
self.cb_call_count = 0
def cb_gen(src, dst):
self.src_templates.append(src)
self.dst_templates.append(dst)
self.cb_call_count += 1
return self.cb_call_count
first_time = True
model = RandomSequenceModel(name='uut', callback_generator=cb_gen, num_mutations=100, max_sequence=13)
for template in self.templates:
model.add_template(template)
while model.mutate():
# this ugly piece of code is needed because we want to ignore the
# default sequence generation
delta = 0
def_len = len(model._default_sequence)
if first_time:
self.src_templates = self.src_templates[def_len:]
self.dst_templates = self.dst_templates[def_len:]
self.cb_call_count -= def_len
delta = def_len
first_time = False
sequence = model.get_sequence()
self.assertEqual(len(sequence), self.cb_call_count)
for i in range(len(sequence)):
self.assertEqual(self.src_templates[i], sequence[i].src)
self.assertEqual(self.dst_templates[i], sequence[i].dst)
self.assertEqual(delta + i + 1, sequence[i].callback)
self.src_templates = []
self.dst_templates = []
self.cb_call_count = 0
def test_length_not_overflow(self):
max_sequence = 5
model = RandomSequenceModel(name='uut', seed=1111, max_sequence=5)
for template in self.templates:
model.add_template(template)
while model.mutate():
sequence = model.get_sequence()
self.assertLessEqual(len(sequence), max_sequence)
def testSkipHalf(self):
model = RandomSequenceModel(num_mutations=120)
for template in self.templates:
model.add_template(template)
m_num_mutations = model.num_mutations()
to_skip = m_num_mutations // 2
expected_skipped = to_skip
expected_mutated = m_num_mutations - expected_skipped
self._check_skip(model, to_skip, expected_skipped, expected_mutated)
def testSameSeed(self):
seed = 1111
model1 = RandomSequenceModel(seed=seed, max_sequence=20)
model2 = RandomSequenceModel(seed=seed, max_sequence=20)
for template in self.templates:
model1.add_template(template)
model2.add_template(template)
for _ in range(1000):
self.assertEqual(model1.mutate(), model2.mutate())
def testSkipTooMuch(self):
model = RandomSequenceModel(num_mutations=120)
for template in self.templates:
model.add_template(template)
m_num_mutations = model.num_mutations()
to_skip = m_num_mutations + 10
expected_skipped = m_num_mutations
expected_mutated = m_num_mutations - expected_skipped
self._check_skip(model, to_skip, expected_skipped, expected_mutated)
def test_skip_too_much(self):
model = RandomSequenceModel(num_mutations=120)
for template in self.templates:
model.add_template(template)
m_num_mutations = model.num_mutations()
to_skip = m_num_mutations + 10
expected_skipped = m_num_mutations
expected_mutated = m_num_mutations - expected_skipped
self._check_skip(model, to_skip, expected_skipped, expected_mutated)
def test_num_mutations(self):
num_mutation_list = [0, 1, 500, 1000, 10000]
for expected_num_mutations in num_mutation_list:
model = RandomSequenceModel(num_mutations=expected_num_mutations)
for template in self.templates:
model.add_template(template)
m_num_mutations = model.num_mutations()
self.assertEqual(expected_num_mutations, m_num_mutations)
actual_mutations = 0
while model.mutate():
actual_mutations += 1
self.assertEqual(expected_num_mutations, actual_mutations)
def test_different_seed(self):
seed1 = 1111
seed2 = 1112
model1 = RandomSequenceModel(seed=seed1, max_sequence=20)
model2 = RandomSequenceModel(seed=seed2, max_sequence=20)
for template in self.templates:
model1.add_template(template)
model2.add_template(template)
seqs1 = []
seqs2 = []
while model1.mutate() and model2.mutate():
seqs1.append(model1.get_sequence())
seqs2.append(model2.get_sequence())
self.assertNotEqual(seqs1, seqs2)
def test_same_seed(self):
seed = 1111
model1 = RandomSequenceModel(seed=seed, max_sequence=20)
model2 = RandomSequenceModel(seed=seed, max_sequence=20)
for template in self.templates:
model1.add_template(template)
model2.add_template(template)
for i in range(1000):
self.assertEqual(model1.mutate(), model2.mutate())
def testCallbackGenerator(self):
self.src_templates = []
self.dst_templates = []
self.cb_call_count = 0
def cb_gen(src, dst):
self.src_templates.append(src)
self.dst_templates.append(dst)
self.cb_call_count += 1
return self.cb_call_count
model = RandomSequenceModel(name='uut',
callback_generator=cb_gen,
num_mutations=100,
max_sequence=13)
for template in self.templates:
model.add_template(template)
while model.mutate():
sequence = model.get_sequence()
self.assertEqual(len(sequence), self.cb_call_count)
for i in range(len(sequence)):
self.assertEqual(self.src_templates[i], sequence[i].src)
self.assertEqual(self.dst_templates[i], sequence[i].dst)
self.assertEqual(i + 1, sequence[i].callback)
self.src_templates = []
self.dst_templates = []
self.cb_call_count = 0
def testRandomLength(self):
model = RandomSequenceModel(name='uut', seed=1111, max_sequence=20)
for template in self.templates:
model.add_template(template)
sequences = set()
iterations = 100
for _ in range(iterations):
model.mutate()
sequence = model.get_sequence()
sequences.add(len(sequence))
self.assertGreater(len(sequences), iterations // 8)
def testLengthNotOverflow(self):
max_sequence = 5
model = RandomSequenceModel(name='uut', seed=1111, max_sequence=5)
for template in self.templates:
model.add_template(template)
while model.mutate():
sequence = model.get_sequence()
self.assertLessEqual(len(sequence), max_sequence)
def test_callback_generator(self):
self.src_templates = []
self.dst_templates = []
self.cb_call_count = 0
def cb_gen(src, dst):
self.src_templates.append(src)
self.dst_templates.append(dst)
self.cb_call_count += 1
return self.cb_call_count
model = RandomSequenceModel(name='uut', callback_generator=cb_gen, num_mutations=100, max_sequence=13)
for template in self.templates:
model.add_template(template)
while model.mutate():
sequence = model.get_sequence()
self.assertEqual(len(sequence), self.cb_call_count)
for i in range(len(sequence)):
self.assertEqual(self.src_templates[i], sequence[i].src)
self.assertEqual(self.dst_templates[i], sequence[i].dst)
self.assertEqual(i + 1, sequence[i].callback)
self.src_templates = []
self.dst_templates = []
self.cb_call_count = 0
def test_random_length(self):
model = RandomSequenceModel(name='uut', seed=1111, max_sequence=20)
for template in self.templates:
model.add_template(template)
sequences = set()
iterations = 100
for i in range(iterations):
model.mutate()
sequence = model.get_sequence()
sequences.add(len(sequence))
self.assertGreater(len(sequences), iterations / 8)
def testNumMutations(self):
num_mutation_list = [0, 1, 500, 1000, 10000]
for expected_num_mutations in num_mutation_list:
model = RandomSequenceModel(num_mutations=expected_num_mutations)
for template in self.templates:
model.add_template(template)
m_num_mutations = model.num_mutations()
self.assertEqual(expected_num_mutations, m_num_mutations)
actual_mutations = 0
while model.mutate():
actual_mutations += 1
self.assertEqual(expected_num_mutations, actual_mutations)
def testCallbackGenerator(self):
self.src_templates = []
self.dst_templates = []
self.cb_call_count = 0
def cb_gen(src, dst):
self.src_templates.append(src)
self.dst_templates.append(dst)
self.cb_call_count += 1
return self.cb_call_count
first_time = True
model = RandomSequenceModel(name='uut',
callback_generator=cb_gen,
num_mutations=100,
max_sequence=13)
for template in self.templates:
model.add_template(template)
while model.mutate():
# this ugly piece of code is needed because we want to ignore the
# default sequence generation
delta = 0
def_len = len(model._default_sequence)
if first_time:
self.src_templates = self.src_templates[def_len:]
self.dst_templates = self.dst_templates[def_len:]
self.cb_call_count -= def_len
delta = def_len
first_time = False
sequence = model.get_sequence()
self.assertEqual(len(sequence), self.cb_call_count)
for i in range(len(sequence)):
self.assertEqual(self.src_templates[i], sequence[i].src)
self.assertEqual(self.dst_templates[i], sequence[i].dst)
self.assertEqual(delta + i + 1, sequence[i].callback)
self.src_templates = []
self.dst_templates = []
self.cb_call_count = 0
def setUp(self):
self.logger = get_test_logger()
self.logger.debug('TESTING METHOD: %s', self._testMethodName)
self.model = RandomSequenceModel()
self.templates = self.get_templates()
self.todo = []
def testDifferentSeed(self):
seed1 = 1111
seed2 = 1112
model1 = RandomSequenceModel(seed=seed1, max_sequence=20)
model2 = RandomSequenceModel(seed=seed2, max_sequence=20)
for template in self.templates:
model1.add_template(template)
model2.add_template(template)
seqs1 = []
seqs2 = []
while model1.mutate() and model2.mutate():
seqs1.append(model1.get_sequence())
seqs2.append(model2.get_sequence())
self.assertNotEqual(seqs1, seqs2)
