def test_euclideanDistanceLengthNormalisation(self):
vector1 = ('cricket','is','a','game','played','by','fools','watched','others')
vector1 = feeds.create_word_vector(vector1)
#test data same article, doubled length to test normalisation
vector2 = ('cricket','is','a','game','played','by','fools','watched','others','cricket','is','a','game','played','by','fools','watched','others')
vector2 = feeds.create_word_vector(vector2)
result = processor.get_euclidean_dif(vector1, vector2)
self.assertEqual(result, 0.0)
def test_euclideanDistanceDifferentArticle(self):
vector1 = ('cricket','is','a','game','played','by','fools','watched','others')
vector1 = feeds.create_word_vector(vector1)
#test data same article, doubled length to test normalisation
vector2 = ('bing','bong','boop','billa','zac','time','test','shane','red')
vector2 = feeds.create_word_vector(vector2)aquire
result = processor.get_euclidean_dif(vector1, vector2)
self.assertAlmostEqual(result, 1.0, 4 )
def test_euclideanDistanceSameArticleisZero(self):
vector1 = ('cricket','is','a','game','played','by','fools','watched','others')
vector1 = feeds.create_word_vector(vector1)
result = processor.get_euclidean_dif(vector1, vector1)
self.assertEqual(result, 0.0)
