day 20
This commit is contained in:
102
2021/20.input
Normal file
102
2021/20.input
Normal file
@@ -0,0 +1,102 @@
|
||||
##......##.###.#...#.#..##...##.#......##........#.#...#...####..###.#...###.....#...###..#...#.......##.#.#.#.##..##.##..#..#....##....##.####...##.#..###......##.#..####....##..#.....#......###.#...##...#.....#.######..#.###..####.#.#....###...#..#.#.##.##.###.####.##.#.###......#..##...#..###.....#..##.#.#.#..##.#.....##......#.###.#..#...######.#...#.#.#....####...##.#.#.#..#..##..###.###..###.##...#.#.##....#..##..##...####..#.##..####...#...#####.####...#......##..#...##.###..#..##...##.###..####.###.
|
||||
|
||||
###.###.#.#....##...#.####.##..#.######..#...####.#####..#....#....#.##.#.##.....#....#.####.#..####
|
||||
#...#.....#..#.###..######..#..#...##.##.#..#...##..#####.###########.#..#....#####.......###.##.##.
|
||||
.#...###...#.##..###.###..#.#.#.#####.#.#.####.#.#.###...##.#.##########.##.#.#..####.##.####.##.##.
|
||||
#.##......#.#.###...#...###.#..#..##.........##..#.#..####.#.####..#.#.#.##.#....###..#..##.##.##.##
|
||||
....#..##.#.##.##...##.#....###.......#.#.##..##.#.####.#...#.#..##.##..#.....##.#####.####....#.#..
|
||||
.#.##..#..#.........#..##..##.##.#......#..#...####..#.#.##......#.##.#....######.#...#.###..#....##
|
||||
########..#.#..#.#.##..#.#...#.##.#...#....#..##..####.#######.#.##..##..#..###.##.#####.#.###.##..#
|
||||
.#.#..#...##.#.#.#...#.#..##.#######.##..#..####.##..###.#..###...#.#.#.##.##..###.#..##...#.#.###..
|
||||
###.##..#.....#.####....##..#...#.#.#...#####..###.#..##.#.#.#####.##########...######.#.#.####.##..
|
||||
..#.#..#.#......#..#..#.#..#.....#..#..#..###.#####.#..##..####.##.#.#.#.###..#.#..#####.#....###.##
|
||||
.##..#....#...###..#...#....#.##....#.........####..######...#.#####..#....#..#..#######....####.#..
|
||||
#...##...#.........##.##..###..##.##.#########....######.#.##...##..#.#.#...##..#.#.....##.####....#
|
||||
.##..##.#..#####.#.###..####....#..#.#####..####....##..#..####.#..#..#..#....#......#...##..##..##.
|
||||
...##.#.###.#.#.#.#####..#...###.###..#######..#....##..#..###.###.##.#.#.#.#..#...###.#.#.##.#..#.#
|
||||
....##.#..#.....#.#.#...#.#..###.#....#.###..#..#.#.#...#....#.###..#...##..#....###...#######....#.
|
||||
##..##..........#..#..#....###....#...##...#..###.#..#...#.###........#...........#..#....###.###.##
|
||||
.##.#####.##.###..###..#.#.....#.###..##.##.######...#.###..#.####.......##..#.#....###.###...######
|
||||
##.##..#.####..#..#.#.###.#.#.#.##..#.####.###.#...#.#...#...#..#....#.#...##..########.##...#####.#
|
||||
.##..#.##.#..#..#...#.......##....##..#....#..##..#.##..#.#.##..##.#.######.#..##..#..#......##.#.##
|
||||
.#.#....#.#.##.##.....#..#####.##.#.###..#.#.....##....#..##.#####......#....##.##.####.#...#.##.#.#
|
||||
.##.......###..##.###.#.#......#...##.####.....#.##..#.###..##.#.#.###...####.#..#...##..####..#...#
|
||||
.#.#...####.#...#.#..##.######....###.#.##.#...#...##....#...#.#..#..##..#.#.#..##..##..###.#.######
|
||||
......#.....######.#.##..###.#.....#...#..#..#..####..##.##.#..####..##..#.#.##.#.....####.##...##.#
|
||||
...#..##...#.#..#####.#.#..#...####.#.#.#..###.#..##.#.##......####.##..##.#..##.#...#..##..#.###.#.
|
||||
..###....#...#...#..###.....#.#####..##......#######.##.#.#.##.#.#.#.####.###..#......#..####.#.##..
|
||||
#..#...#####.#..#..##..#######.#...###..#.##.####.#######.###.....#.#....###.####.##..#..#.#.#.##...
|
||||
#..####..#.###..##...###.##.#####.###.#..##.....#...###.##.#....#.##...##..#..#..#.#.#..#.###.#....#
|
||||
.##.#.#.###...#...#...##...#..#.#.#......#.#.##.#.#.#.#...#########...#.####.#####.##.#.#.#...##..##
|
||||
#.#..###....#######..###.##....####..#####..#.##...#.#.#.#.####..#..#..#..#..##..#.###..#.##..###.#.
|
||||
..#.#...####.##.#.####....#####...#...#...#....###.#...##.##.####...#..#..#.####.##.##...##.#.#..###
|
||||
#####.#.#.#.#.#..##.#....#..##.##..###.##..##...#.#.#.###.##.#....#...#..#...#...#.###....#.##.#####
|
||||
..#.#.#..####..##...####..#.#.#.##.##..#..#####.##.######....##.....#.##.....####......#..###..##...
|
||||
##.##....######.#.####...#.###...#.#..#..#.####.#.#...##...##..#.###...#..#..#.#..##....##....##....
|
||||
.#.#.######.#.#....##.#.#.##....###.#...#.###.#..##.#....##.#..##.###.#.#.##.#..#...##.####.#.##....
|
||||
.###...###.#.##...###.#.##.#.###.###.##.#.######..#.###...#######...##.##..##..###....#...###....#..
|
||||
#.....#.####...#..#..#...##.#.##.#...#####....#..#.###.#.##..######.#.##..###...#.#.####.##.#.#.....
|
||||
....#.#.####..#..###...###..##.##..#.....##.##..###.#..#.###.#..###..####.##...##...#..#..#.##.#..##
|
||||
##....#.#.##.#.#.#.#.#.#.##.#.#..#...##.#.#.##....##.#.#..##....#######..###.####...#####.#.#..###..
|
||||
.#..####.##.###.#.##.#..######..##.####..##..#.#....#.##.##.#..#.#.##..#.....#....#.###..###...#.#..
|
||||
.##.#......###.###.####.#.###.##.###.##.#.#..#####..#.###..#.#..###...#.....##.###.#..##.#..###...#.
|
||||
##.##.######.##..#..#..#...##.###.##.####.#.#.#####.....###...##.#..###.##..###....#..####.......###
|
||||
.######.....##..#.##.##.#.#####....###.#.###.#.#...#.####...#...##.##.##....#.#.###.......#..###.#.#
|
||||
##.##.#.#.##.###.##.##..##.##..##..#...#..###...#.....##.#.#.####.###...#.#..#...#.#..#...#.##..#..#
|
||||
.###.###.#..##..#.###.#.###....#..#.##.##.#######..#....######..#..#####....###..#...##..#..#####...
|
||||
.###.####.##.####.##.###.##..#..###.###...###.######.##.#.####.#.#...##....#...##.##.#.##.#.#.#.#..#
|
||||
.##....##................#..#.#...#....#.#..###..#..#.#####.#####....####..####.####...#.#####.###.#
|
||||
..###.######.#.##....#.#..##..#...##..#.####.#.###.......#...#....#.#.#..#...#######...####...####..
|
||||
##.##..###..#.#..###..####....#..#.#.#..###...####.##..##.......###...##.#.###.#....##.##..#.#...###
|
||||
..#..#.######.###.....#..####.##.....#....#..##.###.##..#.##.#......###....######.#.#.##.##.#.#...##
|
||||
####.##...#.##.###.#.#..#.#...######.#...#...####.####..#.#..#..#.#.#.####.#..#.#..##.#..#......##..
|
||||
...#..#.##.#......#..#.##.###.#.#.##..#.##.#####.#...##.##..#.#...##.#...###....#...##..#...#.####..
|
||||
..###..##...#.##.#..#.#..#.#.##.#..#.#..##.#.#..#.#.....########..##..#.#..#..##.#.###....#.####.#.#
|
||||
.#.##...###..#.#..###.#...#.###...###.####.#.##.#..#...#..#.##..####.#.....####..#..##.##.#...##....
|
||||
.#....#.#.##.#....#..#.#.##.#.###.###..##..##.###.#.##...##.####...#..###..######.##..#.#...###.##.#
|
||||
#.#.#.##..#..###.....#.###.##.###.#..######....##.##.###......###.####.##....#...#..#.###....#..####
|
||||
.#.###.#.#...#..###....##.#.####..#..#..#.###..###.#.#.....#.#####......####.#.....##...#.####......
|
||||
..####.#....#......##..###.....####.#..#.....##..#.......##.#.#.....#.##..#.#.#.#....###.##..##.....
|
||||
######.#.##.#.#.####.#.###.##.##.##..##....#####..#####...####.##...####.##..##.#.##...##.#..##.####
|
||||
.##.#...##.....##.#..#.##.#.#....##..##.###..#..####.....#.##...#.#.##...##.#.##....#.####..##.##.##
|
||||
.###...#.......#.#####..##..##.####..#####.####.#####.....##...###.###....#.......##...#.#....#.#..#
|
||||
#.#..####..##.##...###..##......##.#..###..#####.####.###.#####.##...#..#.#.###..###.#....#.##.#####
|
||||
##...#..##...#..#.#..###.#.##.#......#.##...#.....#.#......##...##..#####..#..##.##.##...#..##.##.#.
|
||||
##.##...###..##.#.#......##.###..#...###..##.#.....##..#.#......#.#####.#...#.#....#...##..#.#...#..
|
||||
##..#.#####.##.#.#.#...#..#...########..##.#...###.#.....#.###.###.##.##.#.#..#.###.###...#.###..##.
|
||||
.#.#####..#..###.###..##..#........#.##....#.#..####...#..##.###..##...#..######....##.#...##.#####.
|
||||
.....#..#...####..##..#....#..#.#..#.....###..###.##.##.##...##....####..######.#....#....#...###.##
|
||||
.#####.......###...###.###..##....#.########..##.....###.#.#.#........#.###...###.......##..###..#.#
|
||||
..##.#.#..###...#....#...#.####.#.#####...###.####.....######..##.##...####....###..##.##.######.##.
|
||||
#.#.#..#...#..########.##.###.###.##...#..####.#########.#...#..##.##.###.......#.#.###...#.#..#.#.#
|
||||
..####..#.##.#.###....##.##.#......####.##.##..#.#.###......##.######..##........#...#....#####..###
|
||||
.###.#..#....##..#..#..#.#.#.#..##..#.#..#...#.#....#......#..#.#####.#.##....###.###..#....#####...
|
||||
..##..##.#..###.#....###..##.####.##...#..#.##..#....#.#....#..##.#.###.#.....###..####.####.#....#.
|
||||
#.####.....#..##..#.##..##.###.#.#..###.....#.##.##..#..###..#.##.#...#.##..#....###.###.#####.###.#
|
||||
.##.#####.##..###.####.##.#.##.###.#..#...##.#..#.##..#..##..##.#.#######.#...#...##.#..####.##.#.#.
|
||||
..##.##.#.#.###..#.#.###...##..##..#...#..#..####.#.#.####.##.#......#.#...#.#...#.....##..#..#..#.#
|
||||
.#.###..##..#.......##.#..#.##.#..#....##.#...###.###.###.##..#.#.#.#.#.#########...##.###..#.#..#..
|
||||
#.###..#.##.#.#..####.###..#.#.####...#...####.#.#####..####.####.#..###...###.##.##.#...#..#.#....#
|
||||
...##.#.#.#.......####.####....###.#.............###..#..#.#..#....####..##.#.######....##..##.#.##.
|
||||
..#####....#..####....##..####...###...#.#...##...#..###...#..#..#..#..######..####.##.###.##.#..###
|
||||
##..#.###.#..#.###.##.#.###...#.#.###..####.####.##....#..##.#..#.#.##.#.#.#.##......#...##.........
|
||||
..##.##..#.##.####...#...#...###..##.#.###...###..##.#.##.##..#.##.#..#....##.#....#.##...###...##..
|
||||
..#.#.#.#.#..#.##.#.#.#.##..##.......#..#.##.##.####..#####...####.#..##..#####.##.#..#.....#.#####.
|
||||
#....###..###.######.###.###..###.##...#.#...##.##..#.###..####...#.##..#.#..##.#.###.##.###.......#
|
||||
....##.#.#...##...#.#......#.#.####.#..#...##...##..#.###.###.#..#..#####.#.#.##..#.#.##.##.#...#..#
|
||||
##..#.###.#.#.#.##.....#.#.#.#..#..#.#..####.##..######.#######...#.#.......##.#..##.##.##...##.#..#
|
||||
#.#.#..######.#.##.....#####....#..#....###..#...########..#..##...##..#.#..##.####..##..##..#.#.#.#
|
||||
.##...#.#.#.#.##.####..###.......####...#.......######...#.##.####..##....###......###.###.##.#.#.#.
|
||||
###.#.#..####..#.#..#..##.#....######..#.###.##..#.##..##.....##.##....#.###.........###...##.##....
|
||||
.#.#..######.#########.#..##.###..#...#.#.#.#.##..##.###..#..#....###..##.#....###.#.##..####...#..#
|
||||
#..#.###.#.##....####..##.#...####...##.#######...#......##.......#..##..##...###.##.###....#..#.#..
|
||||
#.#..#...##.#.####....#....#.##.#.#...#.#....#..##..#.#.####.#.###....###..#..##.##.###....#.##.....
|
||||
.###..##...##....###...#####.#...#.##.#.#.###.###.##..##.##....#.##.#####..#.#####..#####.##.....#.#
|
||||
#..###..###.###..#.##.###.##..##...#..##.##.#...###..#.##...##...#....#..#.###..#....#...#.#.....###
|
||||
#.#..##.####.###..##.####.##..########..##.#...###..#####..#.###..##.......##.#..###.##.#...#...##..
|
||||
.#...#.#..#.##.......#.....##.#####.#.#.###..###.#.......###.#..####.#.#.#.#.###..#.#...#.#..#.#.#.#
|
||||
###.#####....#.##...######.###...#.#..#.#......##.#.#.##.#..##..#.#....#....##.##..####...#.#.###.##
|
||||
##.#.##.##...###..##.#.#..###.#.##...###..#.#.#.#..##..#.##..####..#.###.#.##..#.#..##...###...####.
|
||||
###..#..#..#..###..##..###.#.#.##.#.###.#..#...##.#.#.#.#.#######.#...##..##.#...##.......#.#.##.#..
|
||||
.#####.....###...##..##...#.#.##..#####.#.#.##.#.#.#.##.#..##..#.#.##.#.##.....###...###...###.###.#
|
||||
.#.#..##.##.##.#....##.#..#..######..#.##.###.##..#.##.#....#....#.##.##.#.##.######..####.#.#.#.##.
|
||||
186
2021/20.py
Normal file
186
2021/20.py
Normal file
@@ -0,0 +1,186 @@
|
||||
import itertools
|
||||
|
||||
# TODO: Should FixedGrid allow offset domains (say -1->4 for x and 3->8 for y)?
|
||||
class FixedGrid:
|
||||
'''Fixed size grid utility class to simplify grid operations and minimize
|
||||
bugs.
|
||||
'''
|
||||
def __init__(self, grid):
|
||||
self._grid = grid
|
||||
self._width = len(self._grid)
|
||||
self._height = len(self._grid[0])
|
||||
|
||||
@staticmethod
|
||||
def parse(s, linesplit_fn=None, line_separator='\n', value_fn=None):
|
||||
grid = []
|
||||
for line in s.split(line_separator):
|
||||
if linesplit_fn is not None:
|
||||
line = linesplit_fn(line)
|
||||
if value_fn is None:
|
||||
grid.append(list(line))
|
||||
else:
|
||||
grid.append(list(map(value_fn, line)))
|
||||
return FixedGrid(grid).transpose()
|
||||
|
||||
@staticmethod
|
||||
def from_dict(d, missing=None):
|
||||
'''Converts a coordinate->value dictionary to a FixedGrid.
|
||||
Expects that minimum x and y coordinates in the grid are both 0.
|
||||
|
||||
Arguments:
|
||||
missing -- Value to use for any coordinates not present in the dictionary
|
||||
'''
|
||||
low_x, high_x = None, None
|
||||
low_y, high_y = None, None
|
||||
for x, y in d.keys():
|
||||
if low_x is None:
|
||||
low_x, high_x = x, x
|
||||
low_y, high_y = y, y
|
||||
else:
|
||||
low_x = min(low_x, x)
|
||||
high_x = max(high_x, x)
|
||||
low_y = min(low_y, y)
|
||||
high_y = max(high_y, y)
|
||||
|
||||
assert(low_x == low_y == 0)
|
||||
|
||||
return FixedGrid([[d.get((x, y), missing)
|
||||
for y in range(low_y, high_y+1)]
|
||||
for x in range(low_x, high_x+1)])
|
||||
|
||||
def to_dict(self):
|
||||
return {(x,y): val
|
||||
for x,col in enumerate(self._grid)
|
||||
for y,val in enumerate(col)}
|
||||
|
||||
def transpose(self):
|
||||
return FixedGrid([[self._grid[x][y]
|
||||
for x in range(self._width)]
|
||||
for y in range(self._height)])
|
||||
|
||||
@property
|
||||
def width(self):
|
||||
return self._width
|
||||
|
||||
@property
|
||||
def height(self):
|
||||
return self._height
|
||||
|
||||
@property
|
||||
def area(self):
|
||||
return self._width * self._height
|
||||
|
||||
def __getitem__(self, c):
|
||||
x, y = c
|
||||
assert(0 <= x < self._width and 0 <= y < self._height)
|
||||
return self._grid[x][y]
|
||||
|
||||
def __setitem__(self, c, val):
|
||||
x, y = c
|
||||
assert(0 <= x < self._width and 0 <= y < self._height)
|
||||
self._grid[x][y] = val
|
||||
|
||||
def items(self, column_first = False):
|
||||
'''Generates all coordinate,value pairs in the grid for iteration.
|
||||
|
||||
Arguments:
|
||||
column_first -- Iterate by column first rather than by row first
|
||||
'''
|
||||
if column_first:
|
||||
for y in range(self._height):
|
||||
for x, col in enumerate(self._grid):
|
||||
yield (x, y), col[y]
|
||||
else:
|
||||
for x, col in enumerate(self._grid):
|
||||
for y, val in enumerate(col):
|
||||
yield (x, y), val
|
||||
|
||||
def neighbors(self, x, y, diagonals=False):
|
||||
assert(0 <= x < self._width and 0 <= y < self._height)
|
||||
if diagonals:
|
||||
for nx, ny in itertools.product((x-1, x, x+1),
|
||||
(y-1, y, y+1)):
|
||||
if x == nx and y == ny:
|
||||
continue
|
||||
if 0 <= nx < self._width and 0 <= ny < self._height:
|
||||
yield nx, ny
|
||||
else:
|
||||
if 0 < x:
|
||||
yield x-1, y
|
||||
if x+1 < self._width:
|
||||
yield x+1, y
|
||||
if 0 < y:
|
||||
yield x, y-1
|
||||
if y+1 < self._height:
|
||||
yield x, y+1
|
||||
|
||||
def print(self, line_spacing=' '):
|
||||
print('\n'.join(line_spacing.join(str(self._grid[x][y])
|
||||
for x in range(self._width))
|
||||
for y in range(self._height)))
|
||||
|
||||
# TODO: ExpandingGrid (probably dict-based)
|
||||
|
||||
def parse_input(s):
|
||||
algo, image = s.split('\n\n')
|
||||
image = FixedGrid.parse(image)
|
||||
return algo, image.to_dict(), image.width, image.height
|
||||
|
||||
def neighbors(x, y):
|
||||
for ay in (-1, 0, 1):
|
||||
for ax in (-1, 0, 1):
|
||||
yield (x+ax, y+ay)
|
||||
|
||||
def step(algo, image, xrange, yrange, default):
|
||||
new_im = {}
|
||||
xrange = range(xrange[0]-1, xrange[-1]+2)
|
||||
yrange = range(yrange[0]-1, yrange[-1]+2)
|
||||
for x in xrange:
|
||||
for y in yrange:
|
||||
section = [image.get(n, default)
|
||||
for n in neighbors(x,y)]
|
||||
section = ''.join(section)
|
||||
section = section.replace('.', '0')
|
||||
section = section.replace('#', '1')
|
||||
idx = int(section, 2)
|
||||
new_im[x,y] = algo[idx]
|
||||
|
||||
# Figure out new out of bounds default
|
||||
section = (default*9).replace('.', '0').replace('#', '1')
|
||||
default = algo[int(section, 2)]
|
||||
|
||||
return new_im, xrange, yrange, default
|
||||
|
||||
def part1(s):
|
||||
algo, image, width, height = parse_input(s)
|
||||
xrange = range(width)
|
||||
yrange = range(height)
|
||||
|
||||
default = '.'
|
||||
|
||||
for _ in range(2):
|
||||
image, xrange, yrange, default = step(algo, image, xrange, yrange, default)
|
||||
|
||||
answer = sum(1 for c in image.values() if c == '#')
|
||||
|
||||
print(f'The answer to part one is {answer}')
|
||||
|
||||
def part2(s):
|
||||
algo, image, width, height = parse_input(s)
|
||||
xrange = range(width)
|
||||
yrange = range(height)
|
||||
|
||||
default = '.'
|
||||
|
||||
for _ in range(50):
|
||||
image, xrange, yrange, default = step(algo, image, xrange, yrange, default)
|
||||
|
||||
answer = sum(1 for c in image.values() if c == '#')
|
||||
|
||||
print(f'The answer to part two is {answer}')
|
||||
|
||||
with open('./2021/20.input') as input_file:
|
||||
|
||||
INPUT = input_file.read()
|
||||
part1(INPUT)
|
||||
part2(INPUT)
|
||||
7
2021/20.test
Normal file
7
2021/20.test
Normal file
@@ -0,0 +1,7 @@
|
||||
..#.#..#####.#.#.#.###.##.....###.##.#..###.####..#####..#....#..#..##..###..######.###...####..#..#####..##..#.#####...##.#.#..#.##..#.#......#.###.######.###.####...#.##.##..#..#..#####.....#.#....###..#.##......#.....#..#..#..##..#...##.######.####.####.#.#...#.......#..#.#.#...####.##.#......#..#...##.#.##..#...##.#.##..###.#......#.#.......#.#.#.####.###.##...#.....####.#..#..#.##.#....##..#.####....##...##..#...#......#.#.......#.......##..####..#...#.#.#...##..#.#..###..#####........#..####......#..#
|
||||
|
||||
#..#.
|
||||
#....
|
||||
##..#
|
||||
..#..
|
||||
..###
|
||||
Reference in New Issue
Block a user