def think(self, status):
"""Chooses an action, using paranoid.
Arguments:
status (Status): the game status.
Returns:
Action: the chosen action.
"""
def successor(status):
actions = list(Action)
shuffle(actions)
children = []
for action in actions:
next_status = simulate(status, action)
children.append((next_status, action))
return children
def payoff(status):
return self.heuristic.hero_heuristic(status, self.hero_id)
happyness, actions = paranoid(
status,
successor,
payoff,
5, # max_depth
self.hero_id,
self.hero_id,
4
)
action = actions[0]
return action
def test_maximum_depth_1(self):
payoff = lambda status: self.full_payoff(status)[0]
actions = paranoid(0, self.succ, payoff, 1, 0, 0, 3)
self.assertEqual(actions, (3, ['c']))
def test_different_root_and_paranoid_player(self):
payoff = lambda status: self.full_payoff(status)[1]
actions = paranoid(2, self.succ, payoff, 999, 1, 1, 3)
self.assertEqual(actions, (1, ['d']))
def test_on_leaf(self):
payoff = lambda status: self.full_payoff(status)[0]
actions = paranoid(10, self.succ, payoff, 999, 0, 0, 3)
self.assertEqual(actions, (0, []))
def test_different_root(self):
payoff = lambda status: self.full_payoff(status)[0]
actions = paranoid(2, self.succ, payoff, 999, 0, 0, 3)
self.assertEqual(actions, (7, ['b']))
def test_different_current_player(self):
payoff = lambda status: self.full_payoff(status)[0]
actions = paranoid(0, self.succ, payoff, 999, 0, 1, 3)
self.assertEqual(actions, (-1, ['c', 'd']))
def test_simple(self):
payoff = lambda status: self.full_payoff(status)[0]
actions = paranoid(0, self.succ, payoff, 999, 0, 0, 3)
self.assertEqual(actions, (1, ['b', 'a']))
