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2021/d20/ex1/ex1.py Executable file
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#!/usr/bin/env python
import itertools
import sys
from typing import List, NamedTuple, Set, Tuple
class Point(NamedTuple):
x: int
y: int
Algorithm = List[bool]
Image = Set[Point]
def solve(input: List[str]) -> int:
def parse() -> Tuple[Algorithm, Image]:
algo_str, blank, *image_str = input
assert blank == "" # Sanity check
assert len(algo_str) == 512 # Sanity check
algo = [c == "#" for c in algo_str]
image = {
Point(i, j)
for i in range(len(image_str))
for j in range(len(image_str[0]))
if image_str[i][j] == "#"
}
return algo, image
def do_step(algo: Algorithm, image: Image, step: int) -> Image:
min_x, max_x = min(p.x for p in image), max(p.x for p in image)
min_y, max_y = min(p.y for p in image), max(p.y for p in image)
def color(p: Point) -> bool:
# Always return true if we *know* that it is lit
if p in image:
return True
# Return early if the rules don't lead to a flashing infinity case
flashes_infinity = algo[0] and not algo[-1]
if not flashes_infinity:
return False
# Pixels in proximity to the image are assumed to change their state normally
if min_x <= p.x <= max_x and min_y <= p.y <= max_y:
return False
# Odd indices have a "lit infinity" which turns off, and vice versa
return (step % 2) == 1
def bits(p: Point) -> int:
x, y = p
res = 0
for dx, dy in itertools.product(range(-1, 1 + 1), repeat=2):
res = (res << 1) + color(Point(x + dx, y + dy))
return res
# We know the image we care for cannot grow by more than 1 per turn
xs, ys = range(min_x - 1, max_x + 1 + 1), range(min_y - 1, max_y + 1 + 1)
res: Image = set()
for p in map(Point._make, itertools.product(xs, ys)):
if algo[bits(p)]:
res.add(p)
return res
rules, image = parse()
for i in range(2):
image = do_step(rules, image, i)
return len(image)
def main() -> None:
input = [line.strip() for line in sys.stdin.readlines()]
print(solve(input))
if __name__ == "__main__":
main()

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2021/d20/ex2/ex2.py Executable file
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#!/usr/bin/env python
import itertools
import sys
from typing import List, NamedTuple, Set, Tuple
class Point(NamedTuple):
x: int
y: int
Algorithm = List[bool]
Image = Set[Point]
def solve(input: List[str]) -> int:
def parse() -> Tuple[Algorithm, Image]:
algo_str, blank, *image_str = input
assert blank == "" # Sanity check
assert len(algo_str) == 512 # Sanity check
algo = [c == "#" for c in algo_str]
image = {
Point(i, j)
for i in range(len(image_str))
for j in range(len(image_str[0]))
if image_str[i][j] == "#"
}
return algo, image
def do_step(algo: Algorithm, image: Image, step: int) -> Image:
min_x, max_x = min(p.x for p in image), max(p.x for p in image)
min_y, max_y = min(p.y for p in image), max(p.y for p in image)
def color(p: Point) -> bool:
# Always return true if we *know* that it is lit
if p in image:
return True
# Return early if the rules don't lead to a flashing infinity case
flashes_infinity = algo[0] and not algo[-1]
if not flashes_infinity:
return False
# Pixels in proximity to the image are assumed to change their state normally
if min_x <= p.x <= max_x and min_y <= p.y <= max_y:
return False
# Odd indices have a "lit infinity" which turns off, and vice versa
return (step % 2) == 1
def bits(p: Point) -> int:
x, y = p
res = 0
for dx, dy in itertools.product(range(-1, 1 + 1), repeat=2):
res = (res << 1) + color(Point(x + dx, y + dy))
return res
# We know the image we care for cannot grow by more than 1 per turn
xs, ys = range(min_x - 1, max_x + 1 + 1), range(min_y - 1, max_y + 1 + 1)
res: Image = set()
for p in map(Point._make, itertools.product(xs, ys)):
if algo[bits(p)]:
res.add(p)
return res
rules, image = parse()
for i in range(50):
image = do_step(rules, image, i)
return len(image)
def main() -> None:
input = [line.strip() for line in sys.stdin.readlines()]
print(solve(input))
if __name__ == "__main__":
main()

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