def test_op(self):
a = get_unary_score(0.5)
b = get_unary_score(0.7)
sum_op = CombinedScoreFn(score_mode='sum')
c = sum_op(a, b)
self.assertAlmostEqual(c.value, 1.2)
sq_op = ModifierScoreFn(modifier='square')
c = sum_op(a, sq_op(b))
self.assertAlmostEqual(c.value, 0.99)
print(c)
def test_normalizer(self):
a = get_unary_score(0.5)
norm_op = Normalizer1()
b = norm_op(a)
pprint(json.loads(b.explained))
a = get_unary_score(0.5)
norm_op = Normalizer2(2)
b = norm_op(a)
pprint(json.loads(b.explained))
self.assertAlmostEqual(b.value, 0.8)
a = get_unary_score(0.5)
norm_op = Normalizer3(2)
b = norm_op(a)
pprint(json.loads(b.explained))
self.assertAlmostEqual(b.value, 0.7387961283389092)
a = get_unary_score(0.5)
norm_op = Normalizer4(2)
b = norm_op(a)
pprint(json.loads(b.explained))
self.assertEqual(b.value, 0.75)
norm_op = ModifierScoreFn('none')
b = norm_op(a)
pprint(json.loads(b.explained))
self.assertEqual(b.value, 0.5)
q_chunk = gnes_pb2.Chunk()
q_chunk.weight = 0.5
q_chunk.offset = 1
d_chunk = gnes_pb2.Chunk()
d_chunk.weight = 0.7
d_chunk.offset = 2
rel_score = get_unary_score(2)
_op = WeightedChunkScoreFn()
c = _op(rel_score, q_chunk, d_chunk)
pprint(json.loads(c.explained))
self.assertAlmostEqual(c.value, 0.7)
def test_basic(self):
a = get_unary_score(0.5)
b = get_unary_score(0.7)
print(a)
print(b.explained)
