def test_init(self):
ob = prob_binomial.mmProbBinomial(self.seed)
self.assertEqual(ob.markov_order, 1)
self.assertEqual(ob.alphabet, list(set(self.seed.target_seq)))
ob = prob_binomial.mmProbBinomial(
self.seed, markov_order=10, motif_def='TEST'
)
self.assertEqual(ob.markov_order, 10)
self.assertEqual(ob.motif_def, 'TEST')
def test_eval_prob_exact(self):
ob = prob_binomial.mmProbBinomial(self.seed, skip_exact=False)
with self.assertRaises(AttributeError):
ob.prob_exacts
self.assertIsInstance(ob.prob_exact, float)
def test_eval_prob_binomial(self):
ob = prob_binomial.mmProbBinomial(self.seed)
with self.assertRaises(AttributeError):
ob.prob_binomials
t = ob._eval_prob_binomial()
r = [0.07012894456680518, 0.8369842777406993]
self.assertIsInstance(ob.prob_binomials, list)
self.assertEqual(r, t)
self.assertEqual(ob.prob_binomial, min(r))
def test_properties(self): ob = prob_binomial.mmProbBinomial(self.seed) r = [0.07012894456680518, 0.8369842777406993] self.assertEqual(ob.prob_binomial, min(r))
def __init_prob_binomial(self, **args):
if hasattr(self, '_spatt'):
args['spatt'] = self._spatt
self._prob_binomial = prob_binomial.mmProbBinomial(self._seed, **args)
