def test_solver_double_parent(self):
level = Level()
level.upper_layer = np.array([[s, lR, e, lR, f], [kR, w, kR, w, e]],
dtype=object)
# S--L--L--E
# \ |\ |
# \| \|
# K K
start = Start()
key1 = Key("key1")
lock1 = Lock("lock1")
key2 = Key("key2")
lock2 = Lock("lock2")
end = End()
start.add_child_s([key1, lock1])
key1.add_lock_s(lock1)
lock1.add_child_s([key2, lock2])
key2.add_lock_s(lock2)
lock2.add_child_s(end)
positions_map = {
start: np.array([0, 0]),
key1: np.array([1, 0]),
lock1: np.array([0, 1]),
key2: np.array([1, 2]),
lock2: np.array([0, 3]),
end: np.array([0, 4])
}
level.mission = start
level.positions_map = positions_map
does_level_follow_mission, solution = Solver.does_level_follow_mission(
level)
self.assertEqual(does_level_follow_mission, True)
def test_solver_linear_solvable(self):
level = Level()
level.upper_layer = np.array([[s, kR, lR, f]], dtype=object)
# S--K--L--E
start = Start()
key = Key()
lock = Lock()
end = End()
start.add_child_s([key, lock])
key.add_lock_s(lock)
lock.add_child_s(end)
positions_map = {
start: np.array([0, 0]),
key: np.array([0, 1]),
lock: np.array([0, 2]),
end: np.array([0, 3]),
}
level.mission = start
level.positions_map = positions_map
does_level_follow_mission, solution = Solver.does_level_follow_mission(
level)
self.assertEqual(does_level_follow_mission, True)
expected_steps = [(start, []), (key, rM), (lock, rM), (end, rM)]
self.assert_steps_equal(solution.steps, expected_steps)
def test_solver_branch_trivial1(self):
level = Level()
level.upper_layer = np.array(
[[s, kR, lR, e, e, f], [lB, kB, w, w, e, e]], dtype=object)
# S--K--L--L--E
# \ /
# K-----
start = Start()
key1 = Key("key1")
lock1 = Lock("lock1")
key2 = Key("key2")
lock2 = Lock("lock2")
end = End()
start.add_child_s([key1, key2])
key1.add_child_s(lock1)
key1.add_lock_s(lock1)
lock1.add_child_s(lock2)
key2.add_lock_s(lock2)
lock2.add_child_s(end)
positions_map = {
start: np.array([0, 0]),
key1: np.array([0, 1]),
lock1: np.array([0, 2]),
key2: np.array([1, 1]),
lock2: np.array([1, 0]),
end: np.array([0, 5]),
}
level.mission = start
level.positions_map = positions_map
does_level_follow_mission, solution = Solver.does_level_follow_mission(
level)
self.assertEqual(does_level_follow_mission, False)
def test_solver_hazard_unsolvable(self):
level = Level()
level.upper_layer = np.array(
[[s, e, Fb, W, W, W, e, fl, e, F, F, e, F, F, e, f]], dtype=object)
# S--K--L--E
start = Start()
key1 = Key("flippers")
lock1 = Lock("water")
key2 = Key("fireboots")
lock2 = Lock("fire1")
lock3 = Lock("fire2")
end = End()
start.add_child_s([key1, lock1])
key1.add_lock_s(lock1)
lock1.add_child_s([key2, lock2])
key2.add_lock_s([lock2, lock3])
lock2.add_child_s(lock3)
lock3.add_child_s(end)
positions_map = {
start: np.array([0, 0]),
key1: np.array([0, 7]),
lock1: np.array([0, 4]),
key2: np.array([0, 2]),
lock2: np.array([0, 10]),
lock3: np.array([0, 13]),
end: np.array([0, 15]),
}
level.mission = start
level.positions_map = positions_map
does_level_follow_mission, solution = Solver.does_level_follow_mission(
level)
self.assertEqual(does_level_follow_mission, False)
def test_sokoban_unsolvable(self):
level = Level()
level.upper_layer = np.array(
[[s, kR, e, e, e, e, g, lR, f], [e, e, b, e, e, e, w, w, e]],
dtype=object)
start = Start()
key = Key("key")
block = SokobanKey("block")
water = SokobanLock("water")
lock = Lock("lock")
end = End()
start.add_child_s([key, block, water])
block.add_lock_s(water)
key.add_lock_s(lock)
water.add_child_s(lock)
lock.add_child_s(end)
positions_map = {
start: np.array([0, 0]),
key: np.array([0, 1]),
block: np.array([1, 2]),
water: np.array([0, 6]),
lock: np.array([0, 7]),
end: np.array([0, 8]),
}
level.mission = start
level.positions_map = positions_map
does_level_follow_mission, solution = Solver.does_level_follow_mission(
level)
self.assertEqual(does_level_follow_mission, False)
def test_mission_generator_rooms(self):
start = Start()
key = Key()
lock = Lock()
room = Room()
end = End()
start.add_child_s([room, lock])
room.add_child_s(key)
key.add_lock_s(lock)
lock.add_child_s(end)
level = Level()
w = Tiles.wall
e = Tiles.empty
layer = np.array([[w, w, w, w, w, w, w, w], [w, e, e, w, e, e, e, w],
[w, e, e, w, e, e, e, w], [w, w, w, w, w, w, w, w],
[w, e, e, w, e, e, e, w], [w, e, e, w, e, e, e, w],
[w, e, e, w, e, e, e, w], [w, w, w, w, w, w, w, w]],
dtype=object)
aesthetic_settings = AestheticSettings()
was_successful = Generator.generate(
level_type=Level,
size=layer.shape,
aesthetic_settings=aesthetic_settings,
max_retry_count=10,
pregenerated_level_layer=layer,
pregenerated_mission_start_node=start)
self.assertTrue(was_successful)
def test_solver_collectables_unreachable_collectable(self):
level = Level()
level.upper_layer = np.array([[s, e, B, f], [c, e, w, c]],
dtype=object)
level.required_collectable_count = 2
start = Start()
c0 = Collectable("c0")
c1 = Collectable("c1")
barrier = CollectableBarrier("B", collectables=[c0, c1])
end = End()
start.add_child_s([c0, barrier])
barrier.add_child_s([c1, end])
positions_map = {
start: np.array([0, 0]),
c0: np.array([1, 0]),
c1: np.array([1, 3]),
barrier: np.array([0, 2]),
end: np.array([0, 3]),
}
level.mission = start
level.positions_map = positions_map
does_level_follow_mission, solution = Solver.does_level_follow_mission(
level)
self.assertEqual(does_level_follow_mission, False)
def test_solver_linear_trivial(self):
level = Level()
level.upper_layer = np.array([[s, kR, lR, f], [e, e, e, e]],
dtype=object)
# S--K--L--E
start = Start()
key = Key("key")
lock = Lock("lock")
end = End()
start.add_child_s(key)
key.add_lock_s(lock)
lock.add_child_s(end)
positions_map = {
start: np.array([0, 0]),
key: np.array([0, 1]),
lock: np.array([0, 2]),
end: np.array([0, 3]),
}
level.mission = start
level.positions_map = positions_map
does_level_follow_mission, solution = Solver.does_level_follow_mission(
level)
self.assertEqual(does_level_follow_mission, False)
def _get_lock_water_fire_lock_graph():
start = Start()
key_red = Key("red")
lock_red = Lock("red")
flippers = Key("flippers")
water1 = Lock("water1")
water2 = Lock("water2")
key_green = Key("green")
lock_green = Lock("green")
fire_boots = Key("fireboots")
fire1 = Lock("fire1")
fire2 = Lock("fire2")
end = End()
start.add_child_s([fire2, key_red, lock_red])
key_red.add_lock_s(lock_red)
lock_red.add_child_s([flippers, water1])
flippers.add_lock_s([water1, water2])
water1.add_child_s(water2)
water2.add_child_s([fire_boots, fire1])
fire_boots.add_lock_s([fire1, fire2])
fire1.add_child_s(key_green)
key_green.add_lock_s(lock_green)
fire2.add_child_s(lock_green)
lock_green.add_child_s(end)
return Node.find_all_nodes(start, method="topological-sort")
def test_node_to_strings(self):
start = Start()
a = GNode("a")
c = End()
d = Key("key")
e = Lock("e")
start.add_child_s(a)
start.add_child_s(d)
d.add_lock_s(e)
self.assertTrue(
self.is_list_permutation_in_string(
str(start), "Start(\'Start\', children={})", ["a", "key"]))
c.add_parent_s([e, d])
self.assertTrue(
self.is_list_permutation_in_string(str(c),
"End(\'End\', parents={})",
["e", "key"]))
self.assertTrue(
self.is_list_permutation_in_string(
str(d),
"Key(\'key\', parents=[\'Start\'], children={}, locks=[\'e\'])",
["e", "End"]))
self.assertEqual(
str(e),
"Lock(\'e\', parents=[\'key\'], children=[\'End\'], keys=[\'key\'])"
)
self.assertEqual(str(a),
"GNode(\'a\', parents=[\'Start\'], children=[])")
def test_wrong_key_color(self):
level = Level()
level.upper_layer = np.array(
[[s, e, lR, kR], [kR, e, w, w], [e, e, lR, f]], dtype=object)
start = Start()
key1 = Key("key1")
lock1 = Lock("lock1")
key2 = Key("key2")
lock2 = Lock("lock2")
end = End()
start.add_child_s([key1, lock1, lock2])
lock1.add_child_s(key2)
lock2.add_child_s(end)
key1.add_lock_s(lock1)
key2.add_lock_s(lock2)
positions_map = {
start: np.array([0, 0]),
key1: np.array([1, 0]),
lock1: np.array([0, 2]),
key2: np.array([0, 3]),
lock2: np.array([2, 2]),
end: np.array([2, 3]),
}
level.mission = start
level.positions_map = positions_map
does_level_follow_mission, solution = Solver.does_level_follow_mission(
level)
self.assertEqual(does_level_follow_mission, False)
def test_solver_difficult(self):
level = Level()
level.upper_layer = np.array(
[[f, e, e, w, e, W, e, w], [e, w, lG, w, e, w, Fb, w],
[e, w, F, w, W, w, e, w], [e, w, s, w, e, w, F, w],
[e, w, kR, w, fl, w, e, w], [e, w, e, lR, e, w, kG, w]],
dtype=object)
start = Start()
key_red = Key("red")
lock_red = Lock("red")
flippers = Key("flippers")
water1 = Lock("water1")
water2 = Lock("water2")
key_green = Key("green")
lock_green = Lock("green")
fire_boots = Key("fireboots")
fire1 = Lock("fire1")
fire2 = Lock("fire2")
end = End()
start.add_child_s([fire2, key_red, lock_red])
key_red.add_lock_s(lock_red)
lock_red.add_child_s([flippers, water1])
flippers.add_lock_s([water1, water2])
water1.add_child_s(water2)
water2.add_child_s([fire_boots, fire1])
fire_boots.add_lock_s([fire1, fire2])
fire1.add_child_s(key_green)
key_green.add_lock_s(lock_green)
fire2.add_child_s(lock_green)
lock_green.add_child_s(end)
# [ f, e, e, w, e, W, e, w],
# [ e, w,lG, w, e, w,Fb, w],
# [ e, w, F, w, W, w, e, w],
# [ e, w, s, w, e, w, F, w],
# [ e, w,kR, w,fl, w, e, w],
# [ e, w, e,lR, e, w,kG, w]], dtype=object)
positions_map = {
start: np.array([3, 2]),
key_red: np.array([4, 2]),
lock_red: np.array([5, 3]),
flippers: np.array([4, 4]),
water1: np.array([2, 4]),
water2: np.array([0, 5]),
key_green: np.array([5, 6]),
lock_green: np.array([1, 2]),
fire_boots: np.array([1, 6]),
fire1: np.array([3, 6]),
fire2: np.array([2, 2]),
end: np.array([0, 0])
}
level.mission = start
level.positions_map = positions_map
does_level_follow_mission, solution = Solver.does_level_follow_mission(
level)
self.assertEqual(does_level_follow_mission, True)
def _get_simple_graph():
start = Start()
key = Key()
lock = Lock()
end = End()
start.add_child_s([key, lock])
key.add_lock_s(lock)
lock.add_child_s(end)
return Node.find_all_nodes(start, method="topological-sort")
def test_solver_linear_solvable_multicolored_keys(self):
level = Level()
level.upper_layer = np.array([[kY, lG, kB, lR, s, kR, lB, kG, lY, f]],
dtype=object)
# S--K--L--K--L--K--L--K--L--E
start = Start()
key_red = Key("red")
lock_red = Lock("red")
key_blue = Key("blue")
lock_blue = Lock("blue")
key_green = Key("green")
lock_green = Lock("green")
key_yellow = Key("yellow")
lock_yellow = Lock("yellow")
end = End()
start.add_child_s([lock_red, key_red, lock_blue])
lock_red.add_child_s([lock_green, key_blue])
lock_green.add_child_s(key_yellow)
lock_blue.add_child_s([lock_yellow, key_green])
lock_yellow.add_child_s(end)
key_red.add_child_s(lock_red)
key_red.add_lock_s(lock_red)
key_blue.add_child_s(lock_blue)
key_blue.add_lock_s(lock_blue)
key_green.add_child_s(lock_green)
key_green.add_lock_s(lock_green)
key_yellow.add_child_s(lock_yellow)
key_yellow.add_lock_s(lock_yellow)
positions_map = {
start: np.array([0, 4]),
key_red: np.array([0, 5]),
lock_red: np.array([0, 3]),
key_blue: np.array([0, 2]),
lock_blue: np.array([0, 6]),
key_green: np.array([0, 7]),
lock_green: np.array([0, 1]),
key_yellow: np.array([0, 0]),
lock_yellow: np.array([0, 8]),
end: np.array([0, 9]),
}
level.mission = start
level.positions_map = positions_map
does_level_follow_mission, solution = Solver.does_level_follow_mission(
level)
self.assertEqual(does_level_follow_mission, True)
expected_steps = [(start, []), (key_red, rM), (lock_red, 2 * lM),
(key_blue, lM), (lock_blue, 4 * rM), (key_green, rM),
(lock_green, 6 * lM), (key_yellow, lM),
(lock_yellow, 8 * rM), (end, rM)]
self.assert_steps_equal(solution.steps, expected_steps)
def test_topological_sort_bug(self):
start = Start()
key = Key("key")
lock = Lock("lock")
end = End()
start.add_child_s(key)
key.add_lock_s(lock)
lock.add_child_s(end)
nodes = Node.find_all_nodes(start, method="topological-sort")
self.assertEqual(nodes, [start, key, lock, end])
def test_graph_with_collectables_and_locks(self):
start = Start()
key = Key("K0")
lock = Lock("L0", key_s=key)
c0 = Collectable("C0")
c1 = Collectable("C1")
b = CollectableBarrier("B", collectables=[c0, c1])
end = End()
start.add_child_s([key, lock, c0])
lock.add_child_s([c1, b])
b.add_child_s(end)
layout = GraphVisualizer.get_node_layout(start)
self.assert_no_overlapping_layout(layout)
def _get_water_lock_graph():
start = Start()
key_red = Key("red")
lock_red = Lock("red")
flippers = Key("flippers")
water = Lock("water")
end = End()
start.add_child_s([flippers, water, lock_red])
flippers.add_lock_s(water)
water.add_child_s(key_red)
key_red.add_lock_s(lock_red)
lock_red.add_child_s(end)
return Node.find_all_nodes(start, method="topological-sort")
def test_works_with_branched_graphs(self):
# return
# S
# |-----------
# | | |
# L1 K2 L2
# | |
# E K1
start = Start()
key1 = Key("1")
key2 = Key("2")
lock1 = Lock("1")
lock2 = Lock("2")
end = End()
start.add_child_s([lock1, key2, lock2])
lock1.add_child_s(end)
lock2.add_child_s(key1)
key1.add_child_s(lock1)
key2.add_child_s(lock2)
key1.add_lock_s(lock1)
key2.add_lock_s(lock2)
np.random.seed(4)
level = Level()
w = Tiles.wall
e = Tiles.empty
layer = np.array([[w, w, w, w, w, w, w, w], [w, e, e, e, e, e, e, w],
[w, e, e, e, e, e, e, w], [w, w, w, w, w, w, w, w],
[w, e, e, w, e, e, e, w], [w, e, e, w, e, e, e, w],
[w, e, e, w, e, e, e, w], [w, w, w, w, w, w, w, w]],
dtype=object)
solution_node_order = Node.find_all_nodes(start,
method="topological-sort")
aesthetic_settings = AestheticSettings()
was_successful = Generator.generate(
level=level,
size=layer.shape,
aesthetic_settings=aesthetic_settings,
max_retry_count=10,
pregenerated_level_layer=layer,
pregenerated_solution_node_order=solution_node_order)
self.assertTrue(was_successful)
Log.print(level)
def __init__(self, aesthetic):
# Generate starting and ending nodes
start = Start()
end = End()
self.start = start
self.end = end
self.lock_id = -1
self.key_id = -1
self.collect_id = -1
self.room_id = -1
node_to_grow = start
tree_depth = np.random.randint(aesthetic.min_depth,
aesthetic.max_depth)
for _ in range(tree_depth):
branch_count = np.random.choice(range(
1,
len(aesthetic.branch_probability) + 1),
p=aesthetic.branch_probability)
for _ in range(branch_count):
f = self.grow_graph(node_to_grow, aesthetic)
node_to_grow = f
node_to_grow.add_child_s(end)
if aesthetic.max_multi_lock_count > 0:
for _ in range(np.random.randint(aesthetic.max_multi_lock_count)):
self.add_multi_lock(lock_count=np.random.randint(
aesthetic.max_locks_per_multi_lock))
self.insert_rooms(aesthetic)
self.fill_rooms_with_collectables(aesthetic)
def get_man_graph():
a = Start()
b = GNode("b")
c = GNode("c")
d = GNode("d")
e = GNode("e")
f = End()
g = GNode("g")
h = GNode("h")
i = GNode("i")
a.add_child_s([b, c, d])
b.add_child_s(e)
c.add_child_s([f, g, h, i])
h.add_child_s(i)
return a, {a, b, c, d, e, f, g, h, i}
def test_degenerate_loop_layout(self):
level = Level()
level.upper_layer = np.array(
[[w, w, w, w, w, w, w, w, w], [w, s, w, e, e, e, e, f, w],
[w, kR, w, w, w, w, lG, w, w], [w, kG, lR, e, e, e, e, e, w],
[w, e, w, e, e, e, e, kR, w], [w, e, w, w, lR, w, e, w, w],
[w, e, w, e, e, e, e, e, w], [w, w, w, w, w, w, w, w, w]],
dtype=object)
start = Start()
key0 = Key("key0")
lock0 = Lock("lock0")
key1 = Key("key1")
lock1 = Lock("lock1")
key2 = Key("key2")
lock2 = Lock("lock2")
end = End()
start.add_child_s([lock0, key0, key2])
lock0.add_child_s([lock1, key1])
lock1.add_child_s(lock2)
lock2.add_child_s(end)
key0.add_lock_s(lock0)
key1.add_lock_s(lock1)
key2.add_lock_s(lock2)
positions_map = {
start: np.array([1, 1]),
key0: np.array([2, 1]),
key2: np.array([3, 1]),
lock0: np.array([3, 2]),
key1: np.array([4, 7]),
lock1: np.array([5, 4]),
lock2: np.array([2, 6]),
end: np.array([1, 7]),
}
level.mission = start
level.positions_map = positions_map
does_level_follow_mission, solution = Solver.does_level_follow_mission(
level)
self.assertEqual(does_level_follow_mission, False)
def test_node_seen_too_soon_incorrect_layout2(self):
level = Level()
level.upper_layer = np.array(
[[s, e, lR, kB], [kR, e, w, w], [e, e, lB, f]], dtype=object)
# S----
# | |
# L1 K1
# |----
# | |
# L2 K2
# |
# F
start = Start()
key1 = Key("key1")
lock1 = Lock("lock1")
key2 = Key("key2")
lock2 = Lock("lock2")
end = End()
start.add_child_s([key1, lock1])
key1.add_lock_s(lock1)
key2.add_lock_s(lock2)
lock1.add_child_s([key2, lock2])
lock2.add_child_s(end)
positions_map = {
start: np.array([0, 0]),
key1: np.array([1, 0]),
lock1: np.array([0, 2]),
key2: np.array([0, 3]),
lock2: np.array([2, 2]),
end: np.array([2, 3]),
}
level.mission = start
level.positions_map = positions_map
does_level_follow_mission, solution = Solver.does_level_follow_mission(
level)
self.assertEqual(does_level_follow_mission, False)
def test_sokoban_solvable_lock_in_middle(self):
level = Level()
level.upper_layer = np.array(
[[s, kR, b, e, lR, e, g, e, f], [e, e, e, e, w, e, w, w, e]],
dtype=object)
start = Start()
key = Key("key")
block = SokobanKey("block")
water = SokobanLock("water")
lock = Lock("lock")
end = End()
start.add_child_s([key, block, lock])
block.add_lock_s([water])
key.add_lock_s(lock)
lock.add_child_s(water)
water.add_child_s(end)
positions_map = {
start: np.array([0, 0]),
key: np.array([0, 1]),
block: np.array([0, 2]),
water: np.array([0, 6]),
lock: np.array([0, 4]),
end: np.array([0, 8]),
}
level.mission = start
level.positions_map = positions_map
does_level_follow_mission, solution = Solver.does_level_follow_mission(
level)
self.assertEqual(does_level_follow_mission, True)
expected_steps = [(start, []), (key, rM), (block, []),
(lock, dM + 2 * rM + uM + rM),
(water, lM + dM + 2 * lM + uM + 4 * rM),
(end, 3 * rM)]
self.assert_steps_equal(solution.steps, expected_steps)
def test_two_keys_soon_unneeded(self):
level = Level()
level.upper_layer = np.array(
[[s, kR, lR, e, e, f], [e, kR, lR, e, e, e]], dtype=object)
# S----------
# | | |
# lR kR kB
# |
# lB
# |
# E
start = Start()
key1 = Key("key1")
lock1 = Lock("lock1")
key2 = Key("key2")
lock2 = Lock("lock2")
end = End()
start.add_child_s([lock1, key1, key2])
lock1.add_child_s(lock2)
lock2.add_child_s(end)
key1.add_lock_s(lock1)
key2.add_lock_s(lock2)
positions_map = {
start: np.array([0, 0]),
key1: np.array([1, 1]),
lock1: np.array([0, 2]),
key2: np.array([0, 1]),
lock2: np.array([0, 3]),
end: np.array([0, 5]),
}
level.mission = start
level.positions_map = positions_map
does_level_follow_mission, solution = Solver.does_level_follow_mission(
level)
self.assertEqual(does_level_follow_mission, False)
def test_solver_hazard_too_soon(self):
level = Level()
level.upper_layer = np.array(
[[s, e, W, e, fl], [e, fl, w, w, w], [e, e, W, e, f]],
dtype=object)
# S--K--L--E
start = Start()
flippers1 = Key("flippers 1")
water1 = Lock("water 1")
flippers2 = Key("flippers 2")
water2 = Lock("water 2")
end = End()
start.add_child_s([flippers1, water1, water2])
flippers1.add_lock_s(water1)
water1.add_child_s(flippers2)
flippers2.add_lock_s(water2)
water2.add_child_s(end)
# [ s, e, W, e,fl],
# [ e,fl, w, w, w],
# [ e, e, W, e, f]], dtype=object)
positions_map = {
start: np.array([0, 0]),
flippers1: np.array([1, 1]),
water1: np.array([0, 2]),
flippers2: np.array([0, 4]),
water2: np.array([2, 2]),
end: np.array([2, 4]),
}
level.mission = start
level.positions_map = positions_map
does_level_follow_mission, solution = Solver.does_level_follow_mission(
level)
self.assertEqual(does_level_follow_mission, False)
def test_mission_generator(self):
# S
# |-----------
# | | |
# L1 K2 L2
# | |
# E K1
start = Start()
key1 = Key("1")
key2 = Key("2")
lock1 = Lock("1")
lock2 = Lock("2")
end = End()
start.add_child_s([lock1, key2, lock2])
lock1.add_child_s(end)
lock2.add_child_s(key1)
key1.add_lock_s(lock1)
key2.add_lock_s(lock2)
level = Level()
w = Tiles.wall
e = Tiles.empty
layer = np.array([[w, w, w, w, w, w, w, w], [w, e, e, e, e, e, e, w],
[w, e, e, e, e, e, e, w], [w, w, w, w, w, w, w, w],
[w, e, e, w, e, e, e, w], [w, e, e, w, e, e, e, w],
[w, e, e, w, e, e, e, w], [w, w, w, w, w, w, w, w]],
dtype=object)
aesthetic_settings = AestheticSettings()
was_successful = Generator.generate(
level_type=Level,
size=layer.shape,
aesthetic_settings=aesthetic_settings,
max_retry_count=10,
pregenerated_level_layer=layer,
pregenerated_mission_start_node=start)
self.assertTrue(was_successful)
def test_solver_collectables(self):
level = Level()
level.upper_layer = np.array([[s, e, B, f], [c, c, w, e]],
dtype=object)
level.required_collectable_count = 2
start = Start()
c0 = Collectable("c0")
c1 = Collectable("c1")
barrier = CollectableBarrier("B", collectables=[c0, c1])
end = End()
start.add_child_s([c0, c1, barrier])
barrier.add_child_s(end)
positions_map = {
start: np.array([0, 0]),
c0: np.array([1, 0]),
c1: np.array([1, 1]),
barrier: np.array([0, 2]),
end: np.array([0, 3]),
}
level.mission = start
level.positions_map = positions_map
does_level_follow_mission, solution = Solver.does_level_follow_mission(
level)
self.assertEqual(does_level_follow_mission, True)
if solution.steps[1][0] == c1:
expected_steps = [(start, []), (c1, dM + rM), (c0, lM),
(barrier, rM + uM + rM), (end, rM)]
else:
expected_steps = [(start, []), (c0, dM), (c1, rM),
(barrier, uM + rM), (end, rM)]
self.assert_steps_equal(solution.steps, expected_steps)
def test_mutable_default_argument_bug(self):
gnode1 = GNode("")
gnode2 = GNode("")
bad_node0 = GNode("BadNode0")
gnode1.add_child_s(bad_node0)
self.assertEqual(len(gnode2.child_s), 0)
start1 = Start()
start2 = Start()
bad_node1 = GNode("BadNode1")
start1.add_child_s(bad_node1)
self.assertEqual(len(start2.child_s), 0)
end1 = End()
end2 = End()
bad_node2 = GNode("BadNode2")
end1.add_parent_s(bad_node2)
self.assertEqual(len(end2.parent_s), 0)
key1 = Key()
key2 = Key()
bad_node3 = GNode("BadNode3")
key1.add_child_s(bad_node3)
bad_node4 = GNode("BadNode4")
key1.add_parent_s(bad_node4)
self.assertEqual(len(key2.child_s), 0)
self.assertEqual(len(key2.parent_s), 0)
lock1 = Lock()
lock2 = Lock()
bad_node5 = GNode("BadNode5")
lock1.add_child_s(bad_node5)
bad_node6 = GNode("BadNode6")
lock1.add_parent_s(bad_node6)
self.assertEqual(len(lock2.child_s), 0)
self.assertEqual(len(lock2.parent_s), 0)
def test_node_create_params(self):
n0 = GNode("n0")
n2 = GNode("n2")
n1 = GNode("n1", n0, n2)
n3 = GNode("n3", [n0], [n2])
start = Start(n0)
end = End(n2)
key1 = Key("key1", n0)
lock1 = Lock("lock1", n2, end, key1)
lock2 = Lock("lock1", n2, end)
key2 = Key("key1", n0, lock2)
self.assertEqual(start.parent_s, set())
self.assertEqual(start.child_s, {n0})
self.assertEqual(n0.parent_s, {start})
self.assertEqual(n0.child_s, {n1, n3, key1, key2})
self.assertEqual(n1.parent_s, {n0})
self.assertEqual(n1.child_s, {n2})
self.assertEqual(n2.parent_s, {n1, n3})
self.assertEqual(n2.child_s, {end, lock1, lock2})
self.assertEqual(n3.parent_s, {n0})
self.assertEqual(n3.child_s, {n2})
self.assertEqual(key1.parent_s, {n0})
self.assertEqual(key1.child_s, {lock1})
self.assertEqual(key1.lock_s, {lock1})
self.assertEqual(lock1.parent_s, {n2, key1})
self.assertEqual(lock1.child_s, {end})
self.assertEqual(lock1.key_s, {key1})
self.assertEqual(key2.parent_s, {n0})
self.assertEqual(key2.child_s, {lock2})
self.assertEqual(key2.lock_s, {lock2})
self.assertEqual(lock2.parent_s, {n2, key2})
self.assertEqual(lock2.child_s, {end})
self.assertEqual(lock2.key_s, {key2})
self.assertEqual(end.parent_s, {n2, lock1, lock2})
self.assertEqual(end.child_s, set())
def generate_mission_graph():
a = Start()
b = GNode([], [], "b")
c = Key(name="c")
d = GNode([], [], "d")
e = End()
f = Lock(name="f")
g = GNode([], [], "g")
a.add_child_s(b)
a.add_child_s(c)
a.add_child_s(d)
b.add_child_s(e)
c.add_child_s(f)
c.add_child_s(g)
f.add_key_s(c)
c.add_lock_s(f)
return a, {a, b, c, d, e, f, g}