def get_interception_point(steps_o, InitPosX, InitPosY, agentO: Agent):
ip_x = -1
ip_y = -1
steps_counter = 0
g = get_graph_from_board(agentO.gameBoard)
start = Slot(InitPosX, InitPosY)
path_to = []
for step in steps_o:
steps_counter += 1
# computing the distance should be done using dijkstra, since now we allow obstacles
# create graph from Board (with obstacles)
dijkstra(g, g.get_vertex(start), g.get_vertex(step))
target = g.get_vertex(step)
path = [target.get_id()]
shortest(target, path)
# print('The shortest path : %s' % (path[::-1]))
distance_from_i_r = len(path[::-1])
if steps_counter > distance_from_i_r:
ip_x, ip_y = step.row, step.col
path_to = path[::-1]
break
assert (ip_x != -1 and ip_y != -1)
return Slot(ip_x, ip_y), len(path_to), path_to
def get_steps(self, agent_r, board_size=50, agent_o=None):
"""
This function returns the coverage self.steps,when covering knowing io, and start covering vertically from the farthest
corner.
:param self:
:param board_size:
:param agent_o:
:return: the coverage self.steps.
"""
assert agent_o is not None
# go to the farthest corner
self.steps.extend(
Strategy.go_from_a_to_b(a=Slot(agent_r.InitPosX, agent_r.InitPosY),
b=Strategy.get_farthest_corner(
a=Slot(agent_o.InitPosX,
agent_o.InitPosY),
board_size=board_size)))
# from there, cover vertically
current_slot = self.steps[-1]
v_dir = 'u' if current_slot.row == board_size - 1 else 'd'
h_dir = 'l' if current_slot.col == board_size - 1 else 'r'
counter = 1
while counter <= board_size * board_size:
if v_dir == 'u':
while current_slot.row > 0:
current_slot = current_slot.go_north()
self.steps.append(current_slot)
counter += 1
if counter == board_size * board_size:
break
current_slot = current_slot.go_west(
) if h_dir == 'l' else current_slot.go_east()
v_dir = 'd'
self.steps.append(current_slot)
counter += 1
continue
else:
while current_slot.row < board_size - 1:
current_slot = current_slot.go_south()
self.steps.append(current_slot)
counter += 1
if counter == board_size * board_size:
break
current_slot = current_slot.go_west(
) if h_dir == 'l' else current_slot.go_east()
v_dir = 'u'
self.steps.append(current_slot)
counter += 1
continue
return self.steps
def get_steps(self, agent_r, board_size=50, agent_o=None):
"""
This function returns the coverage steps, choosing to start from the initial position of the opponent, io, and from
there cover the world circling out.
This function perform spiraling out simply: doesn't take steps in alternate sizes, and limiting the available slots
to be in range
:param self: the agent
:param board_size:
:param agent_o:
:return:
"""
fixed_io = Slot(agent_o.InitPosX, agent_o.InitPosY)
self.steps.extend(
Strategy.go_from_a_to_b(Slot(agent_r.InitPosX, agent_r.InitPosY),
fixed_io))
# cover the world, circling from this position out.
current_slot = self.steps[-1]
step_size = 1
counter = 1
b = [[0 for i in xrange(board_size)] for j in xrange(board_size)]
b[current_slot.row][current_slot.col] = 1
while sum(map(sum, b)) < board_size * board_size:
# go horizontally right then vertically up
for dir in ['r', 'u']:
for _ in xrange(step_size):
current_slot = current_slot.go(dir)
counter += 1
if 0 <= current_slot.row < board_size and 0 <= current_slot.col < board_size:
self.steps.append(current_slot)
b[current_slot.row][current_slot.col] = 1
step_size += 1
# go horizontally left then vertically down
for dir in ['l', 'd']:
for _ in xrange(step_size):
current_slot = current_slot.go(dir)
counter += 1
if 0 <= current_slot.row < board_size and 0 <= current_slot.col < board_size:
self.steps.append(current_slot)
b[current_slot.row][current_slot.col] = 1
step_size += 1
return self.steps
def get_steps(self, agent_r: Agent, board_size=50, agent_o: Agent = None):
covered_cells = []
current_slot = Slot(agent_r.InitPosX, agent_r.InitPosY)
covered_cells.append(current_slot)
all_slots = [
Slot(i, j) for i in range(board_size) for j in range(board_size)
]
while not sublist(all_slots, covered_cells):
# randomly select move
new_slot = current_slot
while not (0 <= new_slot.row < board_size and 0 <= new_slot.col <
board_size) or new_slot == current_slot:
new_slot = current_slot.go(random.choice(['r', 'l', 'u', 'd']))
# update accordingly
covered_cells.append(new_slot)
current_slot = new_slot
print(len(set(covered_cells)) / (board_size * board_size * 1.0))
print(covered_cells)
print(len(covered_cells))
exit(2)
return covered_cells
def cover_current_level(level, current: Slot, board: Board, leveled_slots):
slots = [current]
current_slot = current
level_amount = len([i for i in leveled_slots.values() if i == level])
# print("covering level %d" % leveled_slots.get(current_slot))
leveled_neighbors = lambda slot: [
i for i in current_slot.get_inbound_neighbors(board)
if leveled_slots.get(i) == level
]
nonpresent_leveled_neighbors = lambda slot, l: [
i for i in leveled_neighbors(slot) if i not in l
]
# go toward a neighbor of the same level, covering until having a single neighbor with level value
uncovered_inbound_neighbors = nonpresent_leveled_neighbors(
current_slot, slots)
while uncovered_inbound_neighbors:
current_slot = uncovered_inbound_neighbors.pop()
slots.append(current_slot)
uncovered_inbound_neighbors = nonpresent_leveled_neighbors(
current_slot, slots)
# if not covered all of this level, go the the opposite direction and cover until all level is covered
doubly_covered_slots = []
# if reached to this point, go until there is a cell with uncovered neighbor, and from there cover until done.
# if len(set(slots)) < level_amount:
# go until at a cell with uncovered neighbor
previous_slot = Slot(-1, -1)
while len(set(slots)) < level_amount:
uncovered_leveled_slots = nonpresent_leveled_neighbors(
current_slot, doubly_covered_slots)
if not uncovered_leveled_slots:
break
temp = current_slot
l = [
i for i in uncovered_leveled_slots if i != previous_slot
and not is_slot_shallow_obstacle(i, board.Obstacles)
]
if not l:
return slots[1::]
current_slot = l[0]
previous_slot = temp
doubly_covered_slots.append(current_slot)
slots.append(current_slot)
return slots[1:]
def test_positions(positions):
ir=Slot(positions[0][0], positions[0][1])
io=Slot(positions[1][0], positions[1][1])
run_game(ir, io)
def get_steps(self, agent_r, board_size=50, agent_o=None):
"""
This function return the agent_r steps, when deciding to cover the world, spiraling from inside to outside.
Note: this coverage method is not optimal!
:param agent_r: the agent covering the world
:param board_size: self explanatory
:return: list of steps
"""
self.steps.extend(
self.go_from_a_to_b(Slot(agent_r.InitPosX, agent_r.InitPosY),
Slot(board_size / 2, board_size / 2)))
next_slot = self.steps[-1]
# next_slot = Slot(36,6)
# start by going toward the center
if next_slot.row < board_size / 2:
while next_slot.row < board_size / 2:
next_slot = next_slot.go_south()
self.steps.append(next_slot)
continue
else:
while next_slot.row > board_size / 2:
next_slot = next_slot.go_north()
self.steps.append(next_slot)
continue
if next_slot.col < board_size / 2:
while next_slot.col < board_size / 2:
next_slot = next_slot.go_east()
self.steps.append(next_slot)
continue
else:
while next_slot.col > board_size / 2:
next_slot = next_slot.go_west()
self.steps.append(next_slot)
continue
# after reaching the center, start covering, counter clockwise
circ = 0
counter = 1
while circ < board_size:
circ += 1
if circ < board_size:
for _ in range(circ):
next_slot = next_slot.go_west()
self.steps.append(next_slot)
counter += 1
if circ < board_size:
for _ in range(circ):
next_slot = next_slot.go_north()
self.steps.append(next_slot)
counter += 1
circ += 1
if circ < board_size:
for _ in range(circ):
next_slot = next_slot.go_east()
self.steps.append(next_slot)
counter += 1
if circ < board_size:
for _ in range(circ):
next_slot = next_slot.go_south()
self.steps.append(next_slot)
counter += 1
for step in self.steps:
if step.row > board_size - 1 or step.col > board_size - 1 or step.row < 0 or step.col < 0:
print(
"Error while circling outside from board center: reached unavailable position"
)
break
return self.steps
def get_steps(self, agent_r, board_size=50, agent_o=None):
"""
This function returns the coverage self.steps, when covering knowing io, starting from the a corner adjacent to
io, and covering semi-cyclic - covering the closer layers first.
:param self:
:param board_size:
:param agent_o:
:return: the coverage self.steps.
"""
assert agent_o is not None
# go to the adjacent corner
steps_to_start = Strategy.go_from_a_to_b(
a=Slot(agent_r.InitPosX, agent_r.InitPosY),
b=Strategy.get_adjacent_corner(a=Slot(agent_o.InitPosX,
agent_o.InitPosY),
board_size=board_size,
first_option=self.first_option))
for i in steps_to_start:
self.add_step(i)
# from there, cover semi-cyclic
current_slot = self.steps[-1]
v_dir = 'u' if current_slot.row == board_size - 1 else 'd'
h_dir = 'r' if current_slot.col == board_size - 1 else 'l'
start_vertical = True
distance = 1
counter = 1
# initial horizontal step
current_slot = current_slot.go_west(
) if h_dir == 'r' else current_slot.go_east()
self.add_step(current_slot)
counter += 1
while counter <= board_size * board_size and distance < board_size:
if start_vertical:
# going vertically
for _ in range(distance):
current_slot = current_slot.go_north(
) if v_dir == 'u' else current_slot.go_south()
self.add_step(current_slot)
counter += 1
# going horizontally
for _ in range(distance):
current_slot = current_slot.go_west(
) if h_dir == 'l' else current_slot.go_east()
self.add_step(current_slot)
counter += 1
# final vertical step
if counter < board_size * board_size:
current_slot = current_slot.go_north(
) if v_dir == 'u' else current_slot.go_south()
self.add_step(current_slot)
counter += 1
else:
# going horizontally
for _ in range(distance):
current_slot = current_slot.go_west(
) if h_dir == 'l' else current_slot.go_east()
self.add_step(current_slot)
counter += 1
# going vertically
for _ in range(distance):
current_slot = current_slot.go_north(
) if v_dir == 'u' else current_slot.go_south()
self.add_step(current_slot)
counter += 1
# final horizontal step
if counter < board_size * board_size:
current_slot = current_slot.go_west(
) if h_dir == 'l' else current_slot.go_east()
self.add_step(current_slot)
counter += 1
start_vertical = not start_vertical
h_dir = 'r' if h_dir == 'l' else 'l'
v_dir = 'u' if v_dir == 'd' else 'd'
distance += 1
return self.steps
def get_steps(self, agent_r, board_size = 50, agent_o = None):
"""
This function return the agent steps, when deciding to cover the world, spiraling from outside to inside.
Note: this coverage method is not optimal!
:param agent: the agent covering the world
:param board_size: self explanatory
:return: list of steps
"""
next_slot = Slot(agent_r.InitPosX, agent_r.InitPosY)
# todo: impreve performance by using extending of lists
# start by going toward the closest corner
if next_slot.row < board_size / 2:
while next_slot.row > 0:
self.steps.append(next_slot)
next_slot = next_slot.go_north()
continue
else:
while next_slot.row < board_size - 1:
self.steps.append(next_slot)
next_slot = next_slot.go_south()
continue
if next_slot.col < board_size / 2:
while next_slot.col > 0:
self.steps.append(next_slot)
next_slot = next_slot.go_west()
continue
else:
while next_slot.col < board_size - 1:
self.steps.append(next_slot)
next_slot = next_slot.go_east()
continue
self.steps.append(next_slot)
# after reaching the closest-to-start corner, start covering the world, counter clockwise
shallow_slots = [[0 for x in range(board_size)] for y in range(board_size)]
shallow_slots[next_slot.row][next_slot.col] = 1
dist_from_edge = 0
while dist_from_edge < board_size / 2:
if next_slot.row + dist_from_edge < board_size - 1 and next_slot.col == dist_from_edge:
direction = 's'
elif next_slot.row + dist_from_edge == board_size - 1 and next_slot.col + dist_from_edge < board_size - 1:
direction = 'e'
elif next_slot.row > dist_from_edge and next_slot.col + dist_from_edge == board_size - 1:
direction = 'n'
elif next_slot.row == dist_from_edge and next_slot.col + dist_from_edge >= board_size - 1:
direction = 'w'
if direction == 's':
new_slot = next_slot.go_south()
elif direction == 'e':
new_slot = next_slot.go_east()
elif direction == 'n':
new_slot = next_slot.go_north()
elif direction == 'w':
new_slot = next_slot.go_west()
if shallow_slots[new_slot.row][new_slot.col] == 1:
dist_from_edge += 1
continue
else:
next_slot = new_slot
self.steps.append(next_slot)
shallow_slots[next_slot.row][next_slot.col] = 1
return self.steps
def get_steps(self, agent_r: Agent, board_size=50, agent_o: Agent = None):
assert agent_o is not None
# 1. perform bfs and set LEVEL values
# 2. go to cell with highest LEVEL value
# 3. while not all cells covered:
# 3.1. cover current LEVEL
# 3.2. if next level adjacent, go there
# 3.3 if not all cells are covered, go to next level (search)
covered_slots = []
# get the 'farthest' cell from R's initial location
initial_level_assignment = assign_level_to_slots(
board=agent_o.gameBoard,
init=Slot(agent_o.InitPosX, agent_o.InitPosY),
levelType=4)
farthest_slot = max(initial_level_assignment.items(),
key=operator.itemgetter(1))[0]
# 1. perform bfs
board = agent_o.gameBoard
leveled_slots = assign_level_to_slots(board, farthest_slot)
# define lambda
def there_are_cells_to_cover():
return len(set(self.steps)) + len(
board.get_shallow_obstacles()) < board.Rows * board.Cols
def distance(a, b):
return fabs(a.row - b.row) + fabs(a.col - b.col)
def edges_and_distance_score(slot: Slot):
return len(slot.get_inbound_neighbors(board)) * 10 + distance(
slot, Slot(agent_r.InitPosX, agent_r.InitPosY))
max_level = min(leveled_slots.values())
max_leveled_slots = [
i for i in leveled_slots if leveled_slots[i] == max_level
]
ordered_max_leveled_slots = sorted(max_leveled_slots,
key=edges_and_distance_score)
# 2. go to cell with highest LEVEL value
# max_level_slot = max(leveled_slots.items(), key=operator.itemgetter(1))
best_max_level_slot = ordered_max_leveled_slots[0]
path_to_max_slot = Strategy.go_from_a_to_b_dijkstra(
a=Slot(agent_r.InitPosX, agent_r.InitPosY),
b=best_max_level_slot,
board=board)
self.steps.extend(path_to_max_slot)
current_slot = best_max_level_slot
covered_slots.append(current_slot)
# covered_slots.extend(path_to_max_slot)
# 3. while not all cells covered:
while there_are_cells_to_cover():
# 3.1. cover current LEVEL
level_steps = cover_current_level(
level=leveled_slots[current_slot],
current=current_slot,
board=board,
leveled_slots=leveled_slots)
self.steps.extend(level_steps)
covered_slots.extend(level_steps)
if level_steps:
current_slot = level_steps[-1]
# 3.2. if next level adjacent, go there
preferred_n = Slot(-1, -1)
current_slot_neighbors = [
n for n in current_slot.get_inbound_neighbors(board)
if not is_slot_shallow_obstacle(n, board.Obstacles)
]
if any([
(leveled_slots.get(i) == leveled_slots.get(current_slot) + 1)
for i in current_slot_neighbors if i not in covered_slots
]):
for n in current_slot_neighbors:
if leveled_slots[n] == leveled_slots[current_slot] + 1:
if preferred_n == Slot(-1, -1) or len(
n.get_inbound_neighbors(board)) < len(
preferred_n.get_inbound_neighbors(board)):
preferred_n = n
if preferred_n != Slot(-1, -1):
if preferred_n.row == -1:
pass
current_slot = preferred_n
covered_slots.append(current_slot)
self.steps.append(current_slot)
# break
else:
raise Exception("Unhandled Code! Slot: %s" % current_slot)
else:
# reaching this case means all current slot's neighbors are already covered. either coverage is done,
# or we have reached a dead end, and should look for the closest uncovered cell.
if not there_are_cells_to_cover():
break
# 3.3 if next level not adjacent, and process not finished, search for next level
# (higher than 0) and go there
# 3.4 from there, cover with decreasing level values until no more slots are to cover
# find_closest_uncovered_slot
cus = min(
[i for i in leveled_slots.keys() if i not in self.steps],
key=lambda a: distance(a, current_slot))
current_slot = cus
self.steps.append(current_slot)
covered_slots.append(current_slot)
continue
# print("closest ucs is: %s" %cus)
return self.steps
def get_steps(self, agent_r, board_size=50, agent_o=None):
next_slot = Slot(agent_r.InitPosX, agent_r.InitPosY)
flag = (agent_r.InitPosY == board_size - 1
and not (agent_r.InitPosX == 0))
steps = []
counter = 0
while True:
counter += 1
if counter > 1000000000000:
break
steps.append(next_slot)
# in the middle of moving from bottom row to top row
if flag:
next_slot = next_slot.go_north()
if next_slot.row == 0:
flag = False
if next_slot == Slot(agent_r.InitPosX, agent_r.InitPosY):
break
continue
# check if in last position, and start moving from last row to top row
elif next_slot.row == board_size - 1 and next_slot.col == board_size - 1 - 1:
flag = True
next_slot = next_slot.go_east()
if next_slot == Slot(agent_r.InitPosX, agent_r.InitPosY):
break
continue
# update next slot
elif next_slot.row % 2 != 0:
if next_slot.col == board_size - 1 - 1:
next_slot = next_slot.go_south()
else:
next_slot = next_slot.go_east()
else:
if next_slot.col == 0:
next_slot = next_slot.go_south()
else:
next_slot = next_slot.go_west()
if next_slot == Slot(agent_r.InitPosX, agent_r.InitPosY):
break
return steps
def get_steps(self, agent_r, board_size = 50, agent_o = None):
next_slot = Slot(agent_r.InitPosX, agent_r.InitPosY)
flag = (agent_r.InitPosX == board_size - 1)
counter = 0
# print "init pos {},{}: ".format(agent_r.InitPosX, agent_r.InitPosY)
while True:
counter += 1
if counter > board_size * board_size:
break
self.steps.append(next_slot)
# in the middle of moving from bottom rpw to top row
if flag:
if next_slot.col == board_size - 1:
flag = False
next_slot = next_slot.go_north()
else:
next_slot = next_slot.go_east()
if next_slot == Slot(agent_r.InitPosX, agent_r.InitPosY):
break
continue
# check if in last position, and start moving from last row to top row
elif next_slot.row == board_size - 1 - 1 and next_slot.col == 0:
flag = True
next_slot = next_slot.go_south()
if next_slot == Slot(agent_r.InitPosX, agent_r.InitPosY):
break
continue
# update next slot
elif next_slot.col % 2 != 0:
if next_slot.row == 0:
next_slot = next_slot.go_west()
else:
next_slot = next_slot.go_north()
else:
if next_slot.row == board_size - 1 - 1:
next_slot = next_slot.go_west()
else:
next_slot = next_slot.go_south()
if next_slot.row > board_size - 1:
print("+1")
if next_slot == Slot(agent_r.InitPosX, agent_r.InitPosY):
break
return self.steps
def take_snapshots():
import seaborn as sb
num_samples = 100
random_results = []
steps_times_o = {}
steps_times_r = {}
for i in range(1024):
steps_times_o[i] = []
for i in range(1056):
steps_times_r[i] = []
for _ in tqdm(range(num_samples)):
b = Board(32, 32)
agentO = Agent("O", StrategyEnum.RandomSTC, 31, 31, board=b)
agentR = Agent("R",
StrategyEnum.LONGEST_TO_REACH,
0,
0,
board=b,
agent_o=agentO)
game = Game(agentR, agentO)
game.run_game(enforce_paths_length=False)
for os in range(len(agentO.steps)):
step = agentO.steps[os]
steps_times_o[os].append(step)
random_results.append(game.get_r_gain())
b = Board(32, 32)
agentO = Agent("O", StrategyEnum.RandomSTC, 31, 31, board=b)
agentR = Agent("R",
StrategyEnum.LONGEST_TO_REACH,
0,
0,
board=b,
agent_o=agentO)
for os in range(len(agentR.steps)):
step = agentR.steps[os]
steps_times_r[os].append(step)
from collections import Counter
iterations = float(num_samples)
to_t = []
# for cell c, how much strategies cover it by time t\
for t in tqdm(range(1024)):
to_t.extend(steps_times_o[t])
c = Counter(to_t)
probes = [[c[Slot(i, j)] / iterations for j in range(32)]
for i in range(32)]
probes.reverse()
sb.heatmap(probes,
yticklabels=False,
xticklabels=False,
vmin=0,
vmax=1)
plt.savefig('data_O/time_%s' % t)
plt.close()
for t in tqdm(range(1056)):
to_t.extend(steps_times_r[t])
c = Counter(to_t)
probes = [[c[Slot(i, j)] / iterations for j in range(32)]
for i in range(32)]
probes.reverse()
sb.heatmap(probes, yticklabels=False, xticklabels=False, vmin=1)
plt.savefig('data_R/time_%s' % t)
plt.close()
def get_steps(self, agent_r: Agent, board_size=50, agent_o: Agent = None):
assert agent_o is not None
# go to the farthest corner
self.steps.extend(
Strategy.go_from_a_to_b(a=Slot(agent_r.InitPosX, agent_r.InitPosY),
b=Slot(agent_o.InitPosX,
agent_o.InitPosY)))
# from there, cover semi-cyclic
current_slot = self.steps[-1]
v_dir = 'u' if current_slot.row == board_size - 1 else 'd'
h_dir = 'r' if current_slot.col == board_size - 1 else 'l'
start_vertical = True
distance = 1
counter = 1
# initial horizontal step
current_slot = current_slot.go_west(
) if h_dir == 'r' else current_slot.go_east()
self.steps.append(current_slot)
counter += 1
while counter <= board_size * board_size and distance < board_size:
if start_vertical:
# going vertically
for _ in range(distance):
current_slot = current_slot.go_north(
) if v_dir == 'u' else current_slot.go_south()
self.steps.append(current_slot)
counter += 1
# going horizontally
for _ in range(distance):
current_slot = current_slot.go_west(
) if h_dir == 'l' else current_slot.go_east()
self.steps.append(current_slot)
counter += 1
# final vertical step
if counter < board_size * board_size:
current_slot = current_slot.go_north(
) if v_dir == 'u' else current_slot.go_south()
self.steps.append(current_slot)
counter += 1
else:
# going horizontally
for _ in range(distance):
current_slot = current_slot.go_west(
) if h_dir == 'l' else current_slot.go_east()
self.steps.append(current_slot)
counter += 1
# going vertically
for _ in range(distance):
current_slot = current_slot.go_north(
) if v_dir == 'u' else current_slot.go_south()
self.steps.append(current_slot)
counter += 1
# final horizontal step
if counter < board_size * board_size:
current_slot = current_slot.go_west(
) if h_dir == 'l' else current_slot.go_east()
self.steps.append(current_slot)
counter += 1
start_vertical = not start_vertical
h_dir = 'r' if h_dir == 'l' else 'l'
v_dir = 'u' if v_dir == 'd' else 'd'
distance += 1
return self.steps
def get_steps(self, agent_r, board_size=50, agent_o=None):
# This coverage strategy covers first the top left, then top right, then bottom left, then bottom right quarters of
# the area.
# While building this function, we assumed 100X100 dimensions
next_slot = Slot(agent_r.InitPosX, agent_r.InitPosY)
# flag = (agent_r.InitPosY == boardSizeY - 1 and not (agent_r.InitPosX == 0))
steps = []
counter = 0
while True:
counter += 1
if counter > 100000:
print("Something is wrong, counter is too big!")
print(steps)
break
if counter > 1 and (next_slot.row,
next_slot.col) == (agent_r.InitPosX,
agent_r.InitPosY):
break
steps.append(next_slot)
# TL Quarter
if 0 <= next_slot.row < board_size / 2 and 0 <= next_slot.col < board_size / 2:
if (next_slot.row, next_slot.col) == (board_size / 2 - 1,
board_size / 2 - 1):
next_slot = next_slot.go_east()
continue
if next_slot.col == 0:
next_slot = next_slot.go_north(
) if next_slot.row > 0 else next_slot.go_east()
continue
if next_slot.row % 2 == 0 and next_slot.row < board_size / 2 - 2: # An even line, not the last one
next_slot = next_slot.go_east(
) if not next_slot.col == board_size / 2 - 1 else next_slot.go_south(
)
continue
elif next_slot.row % 2 != 0 and not next_slot.row == board_size / 2 - 1: # An odd line, not before last
next_slot = next_slot.go_west(
) if not next_slot.col == 1 else next_slot.go_south()
continue
elif next_slot.row % 2 == 0 and next_slot.row == board_size / 2 - 2: # An even line, the last one
next_slot = next_slot.go_south(
) if next_slot.col % 2 != 0 else next_slot.go_east()
elif next_slot.row % 2 != 0 and next_slot.row == board_size / 2 - 1: # An odd line, last line
next_slot = next_slot.go_east(
) if next_slot.col % 2 != 0 else next_slot.go_north()
else:
print("TL: Error occurred! Should not reach here!")
continue
# TR Quarter
elif 0 <= next_slot.row < board_size / 2 and board_size / 2 <= next_slot.col < board_size:
if (next_slot.row, next_slot.col) == (board_size / 2 - 1,
board_size - 1):
next_slot = next_slot.go_south()
continue
elif next_slot.col % 2 == 0:
next_slot = next_slot.go_north(
) if next_slot.row > 0 else next_slot.go_east()
continue
elif next_slot.col % 2 != 0:
next_slot = next_slot.go_south(
) if next_slot.row < board_size / 2 - 1 else next_slot.go_east(
)
continue
else:
print("TR: Error occurred! Should not reach here!")
continue
# BL Quarter
elif board_size / 2 <= next_slot.row < board_size and 0 <= next_slot.col < board_size / 2:
if (next_slot.row,
next_slot.col) == (board_size / 2,
0): # last cell of quarter
next_slot = next_slot.go_north()
continue
elif next_slot.col % 2 == 0: # an even column
next_slot = next_slot.go_north(
) if next_slot.row > board_size / 2 else next_slot.go_west(
)
continue
elif next_slot.col % 2 != 0: # An odd line
next_slot = next_slot.go_south(
) if next_slot.row < board_size - 1 else next_slot.go_west(
)
continue
else:
print("BL: Error occurred! Should not reach here!")
continue
# BR Quarter
else:
if (next_slot.row,
next_slot.col) == (board_size / 2, board_size /
2): # last cell of quarter
next_slot = next_slot.go_west()
continue
elif next_slot.col == board_size - 1:
next_slot = next_slot.go_south(
) if not next_slot.row == board_size - 1 else next_slot.go_west(
)
continue
elif next_slot.row % 2 != 0 and not next_slot.row == board_size / 2 + 1: # and odd line, not before last
next_slot = next_slot.go_west(
) if next_slot.col > board_size / 2 else next_slot.go_north(
)
continue
elif next_slot.row % 2 != 0 and next_slot.row == board_size / 2 + 1: # and odd line, DO before last
next_slot = next_slot.go_north(
) if next_slot.col % 2 == 0 else next_slot.go_west()
continue
elif next_slot.row % 2 == 0 and not next_slot.row == board_size / 2: # an even line, not last one
next_slot = next_slot.go_east(
) if next_slot.col < board_size - 2 else next_slot.go_north(
)
continue
elif next_slot.row % 2 == 0 and next_slot.row == board_size / 2: # an even line, INDEED last one
next_slot = next_slot.go_west(
) if next_slot.col % 2 == 0 else next_slot.go_south()
continue
else:
print("BR: Error occurred! Should not reach here!")
continue
return steps
def get_steps(self, agent_r, board_size = 50, agent_o = None):
"""
Returns a non-circular vertical coverage, starting from agent_r's initial position to top-right position, then cover
all cells from top-right to bottom-left, without repeating cells (there are some assumption regarding the initial
position
:param agent_r: the given agent_r
:param board_size: board's width
:param board_size: board's height
:return: a set of steps covering the whole board
"""
steps = []
next_slot = Slot(agent_r.InitPosX, agent_r.InitPosY)
turning_slot = Slot(agent_r.InitPosX, agent_r.InitPosY)
reaching_to_farthest_corner = True
up_or_down = 'd'
# assert call
assert agent_r.InitPosX % 2 == 0
while True:
steps.append(next_slot)
if len(steps) >= board_size * board_size:
break
# Check if we agent_r reached the farthest corner of the board
if next_slot == Slot(board_size - 1, board_size - 1):
reaching_to_farthest_corner = False
if reaching_to_farthest_corner:
if next_slot.row < board_size - 1:
next_slot = next_slot.go_south()
continue
elif next_slot.col < board_size - 1:
next_slot = next_slot.go_east()
continue
else:
if next_slot.col > agent_r.InitPosY:
if next_slot.col % 2 != 0:
next_slot = next_slot.go_north() if next_slot.row > 0 else next_slot.go_west()
else:
next_slot = next_slot.go_south() if next_slot.row < board_size - 2 else next_slot.go_west()
continue
else:
if up_or_down == 'd':
if next_slot.go_south() != turning_slot:
if next_slot.row < board_size - 1:
next_slot = next_slot.go_south()
else:
next_slot = next_slot.go_west()
up_or_down = 'u'
continue
else:
turning_slot = turning_slot.go_west().go_west().go_north().go_north()
steps.append(next_slot.go_west())
steps.append(next_slot.go_west().go_south())
next_slot = next_slot.go_west().go_south().go_south()
continue
else:
if next_slot != turning_slot:
if next_slot.row > 0:
next_slot = next_slot.go_north()
else:
next_slot = next_slot.go_west()
up_or_down = 'd'
continue
else:
steps.append(next_slot.go_east())
steps.append(next_slot.go_east().go_north())
next_slot = next_slot.go_east().go_north().go_north()
continue
return steps[:board_size * board_size]
def get_steps(self, agent_r, board_size = 50, agent_o = None,):
return SpanningTreeCoverage.get_random_coverage_strategy(size=board_size,
i_r=Slot(agent_r.InitPosX, agent_r.InitPosY),
print_mst=True,
obstacles=agent_r.gameBoard.Obstacles)
def edges_and_distance_score(slot: Slot):
return len(slot.get_inbound_neighbors(board)) * 10 + distance(
slot, Slot(agent_r.InitPosX, agent_r.InitPosY))
