def test_rule(self):
f = DummyFeature('test1', {bool, int}, bool)
f2 = DummyFeature('test2', {bool}, bool)
m1 = BooleanMapper(mode='10')
m2 = BooleanMapper(mode='10')
rl1 = RuleLeaf(f, m1)
rl2 = RuleLeaf(f2, m2)
self.assertEqual(rl1.feat, f)
self.assertEqual(rl1.mapper, m1)
self.assertEqual(rl2.feat, f2)
self.assertEqual(rl2.mapper, m2)
r = Rule([rl1, rl2], [1.0, 1.0])
self.assertSetEqual({bool, int}, r.domains)
self.assertIn(rl1, r.R)
self.assertIn(rl2, r.R)
d = DummyAgent()
ar = Artifact(d, True)
ret = r(ar)
self.assertIsNone(ret)
ar.domain = bool
ret = r(ar)
self.assertEqual(ret, 1.0)
with self.assertRaises(TypeError):
r = Rule([f, rl1], [0.1, 1.0])
mf = ModuloFeature(5)
mf2 = ModuloFeature(10)
mf3 = ModuloFeature(9)
m3 = BooleanMapper(mode='10')
rl1 = RuleLeaf(mf, m1)
rl2 = RuleLeaf(mf2, m2)
rl3 = RuleLeaf(mf3, m3)
rule = Rule([rl1, rl2, rl3], [1.0, 1.0, 1.0])
ar = Artifact(d, 20)
ar.domain = int
self.assertAlmostEqual(rule(ar), 0.6666666666666666)
rule = Rule([rl1, rl2, rl3], [-1.0, 1.0, 1.0])
self.assertAlmostEqual(rule(ar), 0.0)
rule = Rule([rl1, rl2, rl3], [1.0, 1.0, -1.0])
self.assertAlmostEqual(rule(ar), 0.6666666666666666)
rule = Rule([rl1, rl2, rl3], [1.0, 1.0, 0.0])
self.assertAlmostEqual(rule(ar), 1.0)
rule = Rule([rl1, rl2, rl3], [0.0, 1.0, 1.0])
self.assertAlmostEqual(rule(ar), 0.5)
m4 = BooleanMapper(mode='1-1')
rl4 = RuleLeaf(mf3, m4)
rule = Rule([rl1, rl2, rl4], [1.0, 1.0, -1.0])
self.assertAlmostEqual(rule(ar), 1.0)
def invent_number(self, low, high):
'''Invent new number from given interval.'''
self._log(logging.DEBUG, "Inventing number from ({}, {})"
.format(low, high))
ars = []
steps = 0
while len(ars) < 10 and steps < 1000:
steps += 1
r = randint(low, high)
ar = Artifact(self, r)
ar.domain = int
if ar not in self.A:
ars.append(ar)
if len(ars) == 0:
self._log(logging.INFO,
"Could not invent new number!".format(self))
return 1, 0.0
best_eval, fr = self.evaluate(ars[0])
ars[0].add_eval(self, best_eval, fr)
best_number = ars[0].obj
best_ar = ars[0]
for ar in ars[1:]:
e, fr = self.evaluate(ar)
ar.add_eval(self, e, fr)
if e > best_eval:
best_eval = e
best_number = ar.obj
best_ar = ar
self._log(logging.DEBUG, "Invented number {}, with e = {}."
.format(best_number, best_eval))
if best_eval > 0.5:
rule = Rule([ModuloFeature(best_number)], [1.0])
rule.mappers = [BooleanMapper()]
self.add_rule(rule, 1.0)
self._log(logging.INFO,
"Appended {} to features.".format(best_number))
return best_ar
