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 successor(status):
children = []
if status.turn >= turn_limit:
return children
actions = list(Action)
shuffle(actions)
for action in actions:
next_status = simulate(status, action)
children.append((next_status, action))
return children
def perform_test(self, status_dict):
"""Test that simulate returns a new object"""
# Build models
map_obj = Map(status_dict["game"]["board"]["tiles"])
status = Status(status_dict["game"], map_obj)
original_status = status.clone()
next_status = simulate(status, Action.north)
if original_status != next_status:
self.assertNotEqual(id(status), id(next_status))
def perform_test(self, status_dict):
"""Test that simulate returns a new object"""
# Build models
map_obj = Map(status_dict["game"]["board"]["tiles"])
status = Status(status_dict["game"], map_obj)
# Simulate the last turn
status.turn = status.max_turns
next_status = simulate(status, Action.north)
self.assertEqual(status, next_status)
game_maps = {}
for status_dict in get_status_samples():
game_id = status_dict["game"]["id"]
if game_id not in game_maps:
game_maps[game_id] = Map(status_dict["game"]["board"]["tiles"])
status = Status(status_dict["game"], game_maps[game_id])
samples_status.append(status)
#
# 1. Measure simulation speed
#
print("(*) Client simulation speed")
t = Timer(
lambda: simulate(
# a random state
random.choice(samples_status),
# a random action
random.choice(list(Action))
)
)
measurements = t.repeat(repeat=5000, number=1)
print(report(measurements))
#
# 2. Measure Bot speed
#
bots = [
(bots.RandomBot, None),
(bots.SimpleGoalBot, None),
(bots.MaxnBot, heuristics.GoldHeuristic),
(bots.MaxnBot, heuristics.EloGoldHeuristic),
(bots.MaxnBot, heuristics.MineGoldHeuristic),