def test_dictvectorizer(self):
D = [{"foo": 1, "bar": 3},
{"bar": 4, "baz": 2},
{"bar": 1, "quux": 1, "quuux": 2}]
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(D)
self._test_conversion(D, v)
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