Esempio n. 1
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 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)
Esempio n. 2
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 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 )
Esempio n. 3
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 def addToStory(self, item, conn):
     if len(self.storyList) == 0:
         newStory = Story(item, conn)
         self.storyList.append(newStory)
         #print 'empty feedList'
         return newStory
     else:
         bestDif = (1, None)
         for thing in self.storyList:
             dif = get_euclidean_dif(thing.items[0].article.vector, item.article.vector)
             if dif < 0.6:
                 if dif < bestDif[0]:
                     bestDif = (dif, thing)
                     #print dif
                     thing.addArticle(item.article, conn)
                     return bestDif[1]
         #print item
         anewStory = Story(item, conn)
         self.storyList.append(anewStory)
         #print 'no similar stories'
         #print 'story: ' + str(anewStory)
         return anewStory
Esempio n. 4
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 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)