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)