def get_resist_set(self, model, shift):
"""Returns what blocks the model to be on the given pos.
"""
pos = v2.sum(model.pos, shift)
resist = set()
for mark_pos in model.shape:
resist.add(self._get_model(v2.sum(pos, mark_pos)))
resist.discard(model)
resist.discard(None)
return resist
def _get_used_cells(self, s):
"""Returns positions that are needed
to decide if the actions are applicable in the state.
"""
used_cells = set()
maze = Maze(s, border=UNKNOWN_MARK)
positions = maze.find_all_positions(PLAYER_MARKS)
for pos in positions:
used_cells.add(pos)
for shift in SHIFTS:
next_pos = v2.sum(pos, shift)
used_cells.add(next_pos)
if maze.get(next_pos) in BOX_MARKS:
next_next_pos = v2.sum(next_pos, shift)
used_cells.add(next_next_pos)
return used_cells
def _apply_end_state(s, shift, end_state):
next_s = modeling.mutablize(s)
for local_y, row in enumerate(end_state):
for local_x, mark in enumerate(row):
if mark is not UNKNOWN_MARK:
x, y = v2.sum(shift, (local_x, local_y))
next_s[y][x] = mark
return next_s
def get_actions(self, s):
"""Returns all possible actions from the given state.
"""
actions = []
maze = Maze(s)
man_positions = maze.find_all_positions(PLAYER_MARKS)
for pos in man_positions:
for shift in SHIFTS:
new_pos = v2.sum(pos, shift)
cell = maze.get(new_pos)
if cell in EMPTY_MARKS:
actions.append(_action_move(maze, pos, new_pos))
elif cell in BOX_MARKS:
behind_new_pos = v2.sum(new_pos, shift)
if maze.get(behind_new_pos) in EMPTY_MARKS:
actions.append(
_action_push(maze, pos, new_pos, behind_new_pos))
return actions
def _is_matching(shift, pattern, maze):
for y, row in enumerate(pattern):
for x, mark in enumerate(row):
if mark == UNKNOWN_MARK:
continue
pos = v2.sum(shift, (x,y))
try:
if mark != maze.get(pos):
return False
except IndexError, e:
return False
def test_get_falling(self):
steel = parsing.find_model(self.models, "A")
for i in range(10):
falling = self.landslip.get_falling()
self.assertEquals(1, len(falling))
self.assertEquals(steel, falling[0])
steel.pos = v2.sum(steel.pos, (0, 1))
self.field.place_models(self.models)
falling = self.landslip.get_falling()
self.assertEquals(0, len(falling))
def test_calc_move(self):
small = parsing.find_model(self.models, "+")
orig_positions = [m.pos for m in self.models]
shift = (1, 0)
positions, cost = self.rules.calc_move(small, shift)
self.assertEquals(orig_positions, [m.pos for m in self.models])
self.assertTrue(positions is not None)
self.assertTrue(positions != orig_positions)
self.assertEquals(1, cost)
index = orig_positions.index(small.pos)
self.assertEquals(positions[index], v2.sum(small.pos, shift))
positions[index] = small.pos
self.assertEquals(orig_positions, positions)
self.assertEquals((None, None), self.rules.calc_move(small, (0, 1)))
self.assertEquals((None, None), self.rules.calc_move(small, (-1, 1)))
def predict(self, s, a):
shift = a.get_cmd()
space_pos = self._find_space(s)
new_pos = v2.sum(space_pos, shift)
return _exchange(s, space_pos, new_pos)
def _move_models(self, moving_models, shift):
for model in moving_models:
model.pos = v2.sum(model.pos, shift)
self.field.place_models(self.models)
def _get_ground_conds(self, conds):
ground = []
for val, shift in conds:
pos = v2.sum(self.tile, shift)
ground.append((val, pos))
return ground
