test_dict_vectorizer.py 文件源码

def test_unseen_or_no_features(self):
        D1 = [{"camelot": 0, "spamalot": 1}]
        D2 = [{}, {"nothing" : 21}]

        for sparse in (True, False):
            for dtype in (int, np.float32, np.int16):
                for sort in (True, False):
                    v = DictVectorizer(sparse=sparse, dtype=dtype, sort=sort)
                    v = v.fit(D1) 
                    self._test_conversion(D2, v)