def test_uniform_noise_4_bots_no_noise(self):
test_layout = (
""" ##################
# #. . # . 2 #
# ##### #####3#
# 0 . # . .#1#
################## """)
universe = create_CTFUniverse(test_layout, 4)
noiser = UniverseNoiser(universe.copy())
position_bucket_0 = dict(((i, 0)
for i in [(1, 2), (7, 3), (1, 3), (3, 3), (6, 3),
(2, 3), (4, 3), (1, 1), (5, 3)]))
bot_2_pos = (13, 1)
position_bucket_2 = {bot_2_pos : 0}
for i in range(100):
new = noiser.uniform_noise(universe.copy(), 1)
self.assertTrue(new.bots[0].noisy)
self.assertFalse(new.bots[2].noisy)
position_bucket_0[new.bots[0].current_pos] += 1
position_bucket_2[new.bots[2].current_pos] += 1
self.assertEqual(100, sum(position_bucket_0.itervalues()))
self.assertEqual(100, sum(position_bucket_2.itervalues()))
# Since this is a randomized algorithm we need to be a bit lenient with
# our tests. We check that each position was selected at least once and
# check that it was selected a minimum of five times.
for v in position_bucket_0.itervalues():
self.assertTrue(v != 0)
self.assertTrue(v >= 5, 'Testing randomized function, may fail sometimes.')
# bots should never have been noised
self.assertEqual(100, position_bucket_2[bot_2_pos])
def test_uniform_noise_4_bots_no_noise_a_star(self):
test_layout = """ ##################
# #. . # . 2 #
# ##### #####3#
# 0 . # . .#1#
################## """
universe = create_CTFUniverse(test_layout, 4)
noiser = AStarNoiser(universe.copy())
expected_0 = [(1, 2), (7, 3), (1, 3), (3, 3), (6, 3), (2, 3), (4, 3), (1, 1), (5, 3)]
position_bucket_0 = collections.defaultdict(int)
bot_2_pos = (13, 1)
position_bucket_2 = {bot_2_pos: 0}
for i in range(100):
new = noiser.uniform_noise(universe.copy(), 1)
self.assertTrue(new.bots[0].noisy)
self.assertFalse(new.bots[2].noisy)
position_bucket_0[new.bots[0].current_pos] += 1
position_bucket_2[new.bots[2].current_pos] += 1
self.assertEqual(100, sum(position_bucket_0.itervalues()))
self.assertEqual(100, sum(position_bucket_2.itervalues()))
# Since this is a randomized algorithm we need to be a bit lenient with
# our tests. We check that each position was selected at least once.
self.assertItemsEqual(position_bucket_0, expected_0, position_bucket_0)
# bots should never have been noised
self.assertEqual(100, position_bucket_2[bot_2_pos])
def test_uniform_noise_manhattan(self):
test_layout = """ ##################
# #. . # . #
# ##### ##### #
# 0 . # . .#1#
################## """
universe = create_CTFUniverse(test_layout, 2)
noiser = ManhattanNoiser(universe.copy())
position_bucket = collections.defaultdict(int)
for i in range(200):
new = noiser.uniform_noise(universe.copy(), 1)
self.assertTrue(new.bots[0].noisy)
position_bucket[new.bots[0].current_pos] += 1
self.assertEqual(200, sum(position_bucket.itervalues()))
# Since this is a randomized algorithm we need to be a bit lenient with
# our tests. We check that each position was selected at least once.
expected = [
(1, 1),
(1, 2),
(1, 3),
(2, 3),
(3, 3),
(4, 3),
(5, 3),
(6, 3),
(7, 3),
(7, 2),
(6, 1),
(5, 1),
(4, 1),
(3, 1),
]
self.assertItemsEqual(position_bucket, expected, position_bucket)
def __init__(self, layout, number_bots, game_time, noise=True):
self.universe = datamodel.create_CTFUniverse(layout, number_bots)
self.number_bots = number_bots
self.game_time = game_time
self.noiser = UniverseNoiser(self.universe) if noise else None
self.player_teams = []
self.viewers = []
def test_uniform_noise_4_bots_manhattan(self):
test_layout = (
""" ##################
# #. 2. # . #
# ##### #####3#
# 0 . # . .#1#
################## """)
universe = create_CTFUniverse(test_layout, 4)
noiser = ManhattanNoiser(universe.copy())
expected_0 = [ (1, 1), (1, 2), (1, 3), (2, 3), (3, 3),
(4, 3), (5, 3), (6, 3), (7, 3), (7, 2),
(7, 1), (6, 1), (5, 1), (4, 1), (3, 1),
(8, 2), (8, 3)]
position_bucket_0 = collections.defaultdict(int)
expected_2 = [ (1, 1), (1, 2), (2, 3), (3, 3), (4, 3),
(5, 3), (6, 3), (7, 3), (8, 2), (8, 1),
(7, 1), (6, 1), (5, 1), (4, 1), (3, 1),
(9, 2), (8, 3), (7, 2)]
position_bucket_2 = collections.defaultdict(int)
for i in range(200):
new = noiser.uniform_noise(universe.copy(), 1)
self.assertTrue(new.bots[0].noisy)
self.assertTrue(new.bots[2].noisy)
position_bucket_0[new.bots[0].current_pos] += 1
position_bucket_2[new.bots[2].current_pos] += 1
self.assertEqual(200, sum(position_bucket_0.itervalues()))
self.assertEqual(200, sum(position_bucket_2.itervalues()))
# Since this is a randomized algorithm we need to be a bit lenient with
# our tests. We check that each position was selected at least once.
self.assertItemsEqual(position_bucket_0, expected_0, sorted(position_bucket_0.keys()))
self.assertItemsEqual(position_bucket_2, expected_2, sorted(position_bucket_2.keys()))
def test_bfs_to_self(self):
test_layout = (
""" ############
#0. #.1#
############ """)
universe = create_CTFUniverse(test_layout, 2)
al = AdjacencyList(universe)
self.assertEqual([], al.bfs((1,1), [(1, 1), (2, 1)]))
def test_a_star_exceptions(self):
test_layout = (
""" ############
#0. #.1#
############ """)
universe = create_CTFUniverse(test_layout, 2)
al = AdjacencyList(universe)
self.assertRaises(NoPathException, al.a_star, (1, 1), (10, 1))
self.assertRaises(NoPositionException, al.a_star, (0, 1), (10, 1))
self.assertRaises(NoPositionException, al.a_star, (1, 1), (11, 1))
def test_a_star(self):
test_layout = (
""" ##################
#0#. . # . #
#2##### #####1#
# . # . .#3#
################## """)
universe = create_CTFUniverse(test_layout, 4)
al = AdjacencyList(universe)
# just a simple smoke test
self.assertEqual(14, len(al.a_star((1, 1), (3, 1))))
def test_basic_adjacency_list(self):
test_layout = (
""" ######
# #
###### """)
universe = create_CTFUniverse(test_layout, 0)
al = AdjacencyList(universe)
target = { (4, 1): [(4, 1), (3, 1)],
(1, 1): [(2, 1), (1, 1)],
(2, 1): [(3, 1), (2, 1), (1, 1)],
(3, 1): [(4, 1), (3, 1), (2, 1)]}
self.assertEqual(target, al)
def create_TestUniverse(layout):
initial_pos = [(1, 1), (4, 2)]
universe = create_CTFUniverse(layout, number_bots)
for i, pos in enumerate(initial_pos):
universe.bots[i].initial_pos = pos
if not universe.maze.has_at(Food, (1, 2)):
universe.teams[1]._score_point()
if not universe.maze.has_at(Food, (2, 2)):
universe.teams[1]._score_point()
if not universe.maze.has_at(Food, (3, 1)):
universe.teams[0]._score_point()
return universe
def create_TestUniverse(layout, black_score=0, white_score=0):
initial_pos = [(1, 1), (4, 2)]
universe = create_CTFUniverse(layout, number_bots)
universe.teams[0].score = black_score
universe.teams[1].score = white_score
for i, pos in enumerate(initial_pos):
universe.bots[i].initial_pos = pos
if not Food in universe.maze[1, 2]:
universe.teams[1]._score_point()
if not Food in universe.maze[2, 2]:
universe.teams[1]._score_point()
if not Food in universe.maze[3, 1]:
universe.teams[0]._score_point()
return universe
def test_extended_adjacency_list(self):
test_layout = (
""" ##################
#0#. . # . #
# ##### ##### #
# . # . .#1#
################## """)
universe = create_CTFUniverse(test_layout, 2)
al = AdjacencyList(universe)
adjacency_target = {(7, 3): [(7, 2), (7, 3), (6, 3)],
(1, 3): [(1, 2), (2, 3), (1, 3)],
(12, 1): [(13, 1), (12, 1), (11, 1)],
(16, 2): [(16, 3), (16, 1), (16, 2)],
(15, 1): [(16, 1), (15, 1), (14, 1)],
(5, 1): [(6, 1), (5, 1), (4, 1)],
(10, 3): [(10, 2), (11, 3), (10, 3), (9, 3)],
(7, 2): [(7, 3), (7, 1), (8, 2), (7, 2)],
(1, 2): [(1, 3), (1, 1), (1, 2)],
(3, 3): [(4, 3), (3, 3), (2, 3)],
(13, 3): [(14, 3), (13, 3), (12, 3)],
(8, 1): [(8, 2), (8, 1), (7, 1)],
(16, 3): [(16, 2), (16, 3)],
(6, 3): [(7, 3), (6, 3), (5, 3)],
(14, 1): [(15, 1), (14, 1), (13, 1)],
(11, 1): [(12, 1), (11, 1), (10, 1)],
(4, 1): [(5, 1), (4, 1), (3, 1)],
(1, 1): [(1, 2), (1, 1)],
(12, 3): [(13, 3), (12, 3), (11, 3)],
(8, 2): [(8, 1), (9, 2), (8, 2), (7, 2)],
(7, 1): [(7, 2), (8, 1), (7, 1), (6, 1)],
(9, 3): [(9, 2), (10, 3), (9, 3)],
(2, 3): [(3, 3), (2, 3), (1, 3)],
(10, 1): [(10, 2), (11, 1), (10, 1)],
(5, 3): [(6, 3), (5, 3), (4, 3)],
(13, 1): [(14, 1), (13, 1), (12, 1)],
(9, 2): [(9, 3), (10, 2), (9, 2), (8, 2)],
(6, 1): [(7, 1), (6, 1), (5, 1)],
(3, 1): [(4, 1), (3, 1)],
(11, 3): [(12, 3), (11, 3), (10, 3)],
(16, 1): [(16, 2), (16, 1), (15, 1)],
(4, 3): [(5, 3), (4, 3), (3, 3)],
(14, 3): [(14, 3), (13, 3)],
(10, 2): [(10, 3), (10, 1), (10, 2), (9, 2)]}
self.assertEqual(adjacency_target, al)
def test_noise_manhattan_failure(self):
test_layout = """ ##################
########## . 2 #
########## #####3#
###0###### . . 1#
################## """
# noiser should not find a connection
universe = create_CTFUniverse(test_layout, 4)
positions = [b.current_pos for b in universe.bots]
noiser = ManhattanNoiser(universe.copy())
new_uni = noiser.uniform_noise(universe.copy(), 0)
new_positions = [b.current_pos for b in new_uni.bots]
# assume not all bots (except 0 and 2) are in the original position anymore
self.assertEqual(positions[0::2], new_positions[0::2])
self.assertNotEqual(positions[1::2], new_positions[1::2], "Testing randomized function, may fail sometimes.")
def test_bot_ids(self):
layout = """ ####
#01#
#### """
dummy_universe = create_CTFUniverse(layout, 2)
team1 = SimpleTeam(TestPlayer([north]), TestPlayer([east]))
self.assertRaises(ValueError, team1._set_bot_ids, [1, 5, 10])
team1._set_bot_ids([1, 5])
team1._set_initial(dummy_universe)
self.assertEqual(team1._get_move(1, dummy_universe), north)
self.assertEqual(team1._get_move(5, dummy_universe), east)
self.assertRaises(KeyError, team1._get_move, 6, dummy_universe)
team2 = SimpleTeam(TestPlayer([north]), TestPlayer([east]))
team2._set_bot_ids([1])
team2._set_initial(dummy_universe)
self.assertEqual(team2._get_move(1, dummy_universe), north)
self.assertRaises(KeyError, team2._get_move, 0, dummy_universe)
self.assertRaises(KeyError, team2._get_move, 2, dummy_universe)
def test_pos_within(self):
test_layout = (
""" ##################
#0#. . # . #
#2##### #####1#
# . # . .#3#
################## """)
universe = create_CTFUniverse(test_layout, 4)
al = AdjacencyList(universe)
free = set(universe.maze.pos_of(Free))
self.assertRaises(NoPositionException, al.pos_within, (0, 0), 0)
self.assertRaises(NoPositionException, al.pos_within, (6, 2), 0)
self.assertEqual(set([(1, 1)]), al.pos_within((1, 1), 0))
target = set([(1, 1), (1, 2), (1,3), (2, 3), (3, 3), (3, 3)])
self.assertEqual(target, al.pos_within((1, 1), 5))
# assuming a_star is working properly
for pos in target:
self.assertTrue(len(al.a_star((1, 1), pos)) < 5)
for pos in free.difference(target):
self.assertTrue(len(al.a_star((1, 1), pos)) >= 5)
def test_bot_ids(self):
layout = (
""" ####
#01#
#### """
)
dummy_universe = create_CTFUniverse(layout, 2)
team1 = SimpleTeam(TestPlayer('^'), TestPlayer('>'))
dummy_universe.teams[0].bots = [1, 5, 10]
self.assertRaises(ValueError, team1.set_initial, 0, dummy_universe, {})
dummy_universe.teams[0].bots = [1, 5]
team1.set_initial(0, dummy_universe, {})
self.assertEqual(team1.get_move(1, dummy_universe, {}), {"move": north, "say": ""})
self.assertEqual(team1.get_move(5, dummy_universe, {}), {"move": east, "say": ""})
self.assertRaises(KeyError, team1.get_move, 6, dummy_universe, {})
team2 = SimpleTeam(TestPlayer('^'), TestPlayer('>'))
team2.set_initial(1, dummy_universe, {})
self.assertEqual(team2.get_move(1, dummy_universe, {}), {"move": north, "say": ""})
self.assertRaises(KeyError, team2.get_move, 0, dummy_universe, {})
self.assertRaises(KeyError, team2.get_move, 2, dummy_universe, {})