class TestBayes(unittest.TestCase):
def setUp(self):
c = ContentAnalyzer()
p = open('unittest.html').read()
pickle.dump(Stemming().stem(nltk.util.clean_html(p)), open('pfile_text.p','wb'))
pickle.dump(Stemming().stem(nltk.util.clean_html(p)), open('pfile_link.p','wb'))
self.Bayes = Bayesian(0,1)
def tearDown(self):
self.Bayes = None
os.remove('pfile_text.p')
os.remove('pfile_link.p')
def test_learning(self):
region_text = [ 43, 25, 24, 1, 18, 10, 3]
region_link = [ 43, 25, 24, 1, 18, 10, 3]
length_list_link_text = 155
length_link_text = 155
self.assertEqual(self.Bayes.learning(),(region_text,region_link,length_list_link_text,length_link_text))
def setUp(self):
c = ContentAnalyzer()
p = open('unittest.html').read()
pickle.dump(Stemming().stem(nltk.util.clean_html(p)), open('pfile_text.p','wb'))
pickle.dump(Stemming().stem(nltk.util.clean_html(p)), open('pfile_link.p','wb'))
self.Bayes = Bayesian(0,1)
