Optimize day 20 solution
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2021-12-20 12:17:06 +01:00
parent a81d7b914c
commit c80d4e7ac5

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@@ -3,55 +3,59 @@ from pathlib import Path
def enhance(algorithm, in_image, boundary):
out_image = []
height = len(in_image)
width = len(in_image[0])
for i in range(-boundary, height + boundary):
line = ''
valid = False
for j in range(-boundary, width + boundary):
idx = ''
for k in range(i - 1, i + 2):
for l in range(j - 1, j + 2):
if 0 <= k < height and \
0 <= l < width and \
'#' == in_image[k][l]:
idx += '1'
else:
idx += '0'
idx = int(idx, 2)
if not valid and '#' == algorithm[idx]:
valid = True
line += algorithm[idx]
if valid:
out_image.append(line)
out_image = set()
min_x = min([x for x, _ in in_image])
max_x = max([x + 1 for x, _ in in_image])
min_y = min([y for _, y in in_image])
max_y = max([y + 1 for _, y in in_image])
for y in range(min_y - boundary, max_y + boundary):
for x in range(min_x - boundary, max_x + boundary):
idx = 0
bit = 8
for dy in [-1, 0, 1]:
for dx in [-1, 0, 1]:
idx <<= 1
if (x + dx, y + dy) in in_image:
idx |= 1
if '#' == algorithm[idx]:
out_image.add((x, y))
return out_image
def show(image):
min_x = min([x for x, _ in image])
max_x = max([x + 1 for x, _ in image])
min_y = min([y for _, y in image])
max_y = max([y + 1 for _, y in image])
for y in range(min_y, max_y):
for x in range(min_x, max_x):
if (x, y) in image:
print('#', end='')
else:
print('.', end='')
print()
def part_1(input):
result = 0
algorithm = input[0].rstrip()
image = []
for line in input[2:]:
image.append(line.rstrip())
image = set([(x, y) for y, line in enumerate(input[2:])
for x, c in enumerate(line) if c == '#'])
image = enhance(algorithm, image, 3)
image = enhance(algorithm, image, -1)
for line in image:
result += line.count('#')
result = len(image)
print("Part 1 result:", result)
def part_2(input):
result = 0
algorithm = input[0].rstrip()
image = []
for line in input[2:]:
image.append(line.rstrip())
image = set([(x, y) for y, line in enumerate(input[2:])
for x, c in enumerate(line) if c == '#'])
for _ in range(25):
image = enhance(algorithm, image, 3)
image = enhance(algorithm, image, -1)
for line in image:
result += line.count('#')
result = len(image)
print("Part 2 result:", result)