def test_AllPassiveMonsters_WithRando(self):
wimpy = WimpyHypothesis()
rando = RandoHypothesis()
self.setUpDecisioner(wimpy, rando)
# First we will start with the basic training case
# which is the first 100 in the range
for i in range(101):
monster = Monster(0, [randint(1, 100)], 'passive')
# Get the guess from the decisioner for the first 100,
# we expect every guess to be 1
self.assertTrue(self.decisioner.get_guess(monster.color))
# Then we will update from this guess
self.decisioner.update(monster.color, 1, monster.action(True))
for i in range(5000):
monster = Monster(0, [randint(1, 100)], 'aggressive')
self.decisioner.get_guess(monster.color)
# Then we will update from this guess
self.decisioner.update(monster.color, 1, 1)
# Flipping a coin is better than doing nothing
self.assertGreater(rando.fitness(), wimpy.fitness())
# Randomness should be near-even in distribution
self.assertGreater(rando.fitness(), 0.4)
self.assertGreater(0.6, rando.fitness())
class KNearestNeighborsTest(unittest.TestCase):
def setUp(self):
self._hypothesis = RandoHypothesis()
def tearDown(self):
self._hypothesis = None
def test_initGuess(self):
"""Test the Rando algorithm returns a value"""
isTautological = self._hypothesis.get_guess([1])
self.assertTrue(isTautological or not isTautological)
def test_fitnessInAggroEnviron(self):
"""RandoHypothesis: Test fitness after a thousand flips in Aggro Environment"""
self.assertTrue(self._hypothesis.fitness() == 0)
for i in range(1000):
self._hypothesis.update([100], 1, 1)
self.assertTrue(self._hypothesis.fitness() > 0.4)
self.assertTrue(self._hypothesis.fitness() < 0.6)
print('RandoHypothesis Fitness: ' + str(self._hypothesis.fitness()) +
' ... ')
class KNearestNeighborsTest(unittest.TestCase):
def setUp(self):
self._hypothesis = RandoHypothesis()
def tearDown(self):
self._hypothesis = None
def test_initGuess(self):
"""Test the Rando algorithm returns a value"""
isTautological = self._hypothesis.get_guess([1])
self.assertTrue(isTautological or not isTautological)
def test_fitnessInAggroEnviron(self):
"""RandoHypothesis: Test fitness after a thousand flips in Aggro Environment"""
self.assertTrue(self._hypothesis.fitness()==0)
for i in range(1000):
self._hypothesis.update([100], 1, 1)
self.assertTrue(self._hypothesis.fitness()>0.4)
self.assertTrue(self._hypothesis.fitness()<0.6)
print ('RandoHypothesis Fitness: ' + str(self._hypothesis.fitness()) + ' ... ')
