# AoC 2016 Day 13: Noisy Puzzle

### Source: A Maze of Twisty Little Cubicles1

Part 1: Generate a procedurally generated maze using the following equation:

• x^2 + 3x + 2xy + y + y^2 + c

x and y are the coordinates of a point and c is a constant.

Count the number of bits for each point. Even is open spaces, odd is walls.

What is the shortest route from (0, 0) to (31, 39)?

The first half of this problem is generating the maze:

parser.add_argument('--function', default = 'x*x + 3*x + 2*x*y + y + y*y + z', help = 'A function that determines walls, z is favorite below')
parser.add_argument('--favorite', required = True, help = 'The z parameter to --function')

def wall(x, y):
'''Return if there is a wall at a given x,y'''

z = int(args.favorite)

if x < 0 or y < 0:
return True
else:
value = eval(args.function)
binary = bin(value)
bits = binary.count('1')
return bits % 2 == 1

Note: You should never use eval on untrusted input. :)

After you have that, it’s another breadth first search to find the shortest path:

# A state is (x, y, steps)
def solve(start, target):
'''Solve the given puzzle.'''

q = queue.Queue()
visited = set()

q.put((start, []))

while not q.empty():
(x, y), steps = q.get()

# If we've found the target, return how we got there
if target and x == target[0] and y == target[1]:
return steps

visited.add((x, y))

# Add any neighbors we haven't seen yet (don't run into walls)
for xd, yd in [(-1, 0), (1, 0), (0, -1), (0, 1)]:
if (x + xd, y + yd) in visited:
continue

if wall(x + xd, y + yd):
continue

q.put(((x + xd, y + yd), steps + [(x, y)]))

raise Exception('Cannot reach target')

You could instead use A* for the pathfinding to save a bit on the runtime, but the search runs quickly enough.

As an added bonus, it’s interesting to render these maps:

def render(points, target = None):
target_x, target_y = target if target else (10, 10)

max_x = target_x
max_y = target_y

for (x, y) in points:
max_x = max(max_x, x, target_x)
max_y = max(max_y, y, target_y)

max_x += 1
max_y += 1

for y in range(max_y + 1):
for x in range(max_x + 1):
if (x, y) in points:
char = 'O'
elif wall(x, y):
char = 'X'
else:
char = '.'

print(char, end = '')
print()

I’ve used that to print the solution whenever I solved my own input:

$python3 noisy-puzzle.py --favorite 1350 --target 31,39 === Solution === XX.OOOXXX......X..X..X..XXXX.XXX..X..X.X X.XXXXOXXXX..XXX.X.XX.X.X...X..X.X.XX.XX. ......OOXXXXXX.XXX..XXX..XX.X..XXX..XX.X. X..XX.XOOXX..X.......XXX.X..XXX......X.XX XXX.X...OOOO.XX.XX.X.....X....X.XX.X.XXX. ..XX.XXXXXXOX.X.XX...XXX.XX...XX.X..X..XX .X.XX....XXOOXX.X.XXX..X.XXX.X.XX.X..X..X .XX.X..X.XXXOX..X...X.XX...X..X.X..X..... ..XXXXXX..X.OX.XXXXXX.XXXXX.X..XXX..XX.XX ....X.....XXOX.XX..X...XX.X.XX.XXXX..X.XX .XX.X.XX...XOOOOOO.X......X.....X.XXX...X .X..X.XXX.XXXXXXXOXXXXXXXX.XX.X.XXX.XX... .X..X..XX.X...XXXOXXOOOX.XX.X..X.....XX.. .XXX.X.XX.X.....XOOOOXOOX.XX.X.XXXX.X.X.X .X.XXX...XXX.XX.X.XXX.XOXX.XXX...XX..XX.X .X.....X..XX.X..XX..XX.O.X.....X..XX.X..X .X..XXXXX....X...XXX.X.O.XX.XXXXX.X..X..X XXX....X.XX.XXX.X..X.XXOX.XXX..X..XX.XXXX X.XXX..XXXX..XX..X.X.XXOOXOOOOOX...X.X..X XXX.X....X.X...X..XX..XXOOOXXXOXX.XX..X.. ....XXX..XX.XX..X.XXX.X.XXXX.XOXX.XXX.X.. .XXXX.XX..XXXXXXX..X..X.....XXOOOOOX..XXX .X.....XXX..X......X..XXX.X.X.XXX.OX..... .X.XX.X..XX.X..XXXXXXXX.XXX.XXX.XXOXX..X. .X.XX..X...XXXX....X.......X...X.XOXXXXX. XX.X.X...X....X..X.X.XX..X.XXX..XXOXX...X X..XX.XXXXXXXXXXXX.X.XXXXX....X.X.OOOOX.X X.X.X.X..XX..X....XX..X....XX.X.X..XXOX.. X..XX.X....X.XX.X.X.X.X.XXX.X..XXXXXXOX.X XX.X..XX.X..X.X.X.XX..XX..XX.X.....XOOXXX ...X.X.XX.X...X.XX.X...X.X.XXXXXX..XOX..X X..X..X.X..XXX...X.XX.XX.XX..XX.X..XOOOO. XX..X..XXX.X.X.X.XXXX.XX..X.....XX..XX.O. XXX.XX.XXX..XX..X...X.....X..XXXXXX..XXOX X.X.....X.X.X.X..XX.X.XX.XXXXX..X.XX.XXOX XX.XXXX.XX..X..X.X..XX.X.XX..X..XXXX.XXO. .XX....X.X.XXX...X...XX......XXX..XXOOOOX ..X..X.X.X.XXXX.XXX.X.XXXXX.X...XOOOOXX.X .XXXXX.X....XXX..XX......XX..XXOOOXXX.X.X ..X...XXX.X..X.X...XX..X.XXX.X.XX.X.XX..X 92 steps/points This amuses me. You can also render the search space as it’s running, but that makes finding the solution far slower. Part 2: How many locations can you reach within 50 (inclusive) steps? To do this, we can modify our solve function to take either a target or a fill count: def solve(start, target = None, fill = None): ''' Solve the given puzzle. If target is a point, return the steps needed to get to that point If fill is a number, return all points that can be reached in that many steps ''' q = queue.Queue() visited = set() q.put((start, [])) while not q.empty(): (x, y), steps = q.get() # If we're in target mode and found the target, return how we got there if target and x == target[0] and y == target[1]: return steps # If we're in fill mode and have gone too far, bail out if fill and len(steps) > fill: continue visited.add((x, y)) # Add any neighbors we haven't seen yet (don't run into walls) for xd, yd in [(-1, 0), (1, 0), (0, -1), (0, 1)]: if (x + xd, y + yd) in visited: continue if wall(x + xd, y + yd): continue q.put(((x + xd, y + yd), steps + [(x, y)])) if fill: return visited raise Exception('Cannot reach target') Rendering works the same way: $ python3 noisy-puzzle.py --favorite 1350 --fill 50

=== Solution ===
XXOXXXXXX.XX.XXXXOOOX.XX....X.
OOOOOXX.X..X.XX.XOXOXXXXXX..X.
XXXOOOOXXX......XOOX..XOOXXXX.
XOXXXXOXXXX..XXX.XOXX.XOX...X.
OOOOOOOOXXXXXXOXXXOOXXXOOXX.X.
XOOXXOXOOXXOOXOOOOOOOXXXOX..XX
XXX.XOOOOOOOOXXOXXOXOOOOOX....
..XX.XXXXXXOX.XOXXOOOXXXOXX...
.X.XX....XXOOXXOX.XXX..XOXXX.X
.XX.X..X.XXXOXOOX...X.XXOOOX..
..XXXXXX..XOOXOXXXXXX.XXXXX.X.
....X.....XXOXOXXOOX...XX.X.XX
.XX.X.XX...XOOOOOOOX......X...
.X..X.XXX.XXXXXXXOXXXXXXXX.XX.
.X..X..XX.X...XXXOXXOOOX.XX.X.
.XXX.X.XX.X.....XOOOOXOOX.XX.X
.X.XXX...XXX.XX.XOXXX.XOXX.XXX
.X.....X..XX.X..XX..XXOOOX....
.X..XXXXX....X...XXX.XOOOXX.XX
XXX....X.XX.XXX.X..X.XXOX.XXX.
X.XXX..XXXX..XX..X.X.XXOOXOOO.
XXX.X....X.X...X..XX..XXOOOXXX
....XXX..XX.XX..X.XXX.X.XXXX.X

124 steps/points
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