Created
December 13, 2023 12:44
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AOC 2023, day 13, p2
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import numpy as np | |
grids = [np.array(list(map(list, grid.splitlines()))) for grid in inp.split("\n\n")] | |
def is_reflection(arr, col): | |
a1, a2 = arr[:, :col], np.fliplr(arr[:, col:]) | |
l1, l2 = a1.shape[1], a2.shape[1] | |
if l1 > l2: | |
return np.all(a2 == a1[:,-l2:]) | |
else: | |
return np.all(a1 == a2[:,-l1:]) | |
def get_reflection(arr, dim): | |
if dim == 1: | |
arr = arr.transpose() | |
for col in 1 + np.all(arr[:, :-1] == arr[:, 1:], axis=0).nonzero()[0]: | |
if is_reflection(arr, col): | |
return col | |
part_one = 0 | |
for i, g in enumerate(grids): | |
for dim, w in zip([0, 1], [1, 100]): | |
if (idx := get_reflection(g, dim)) is not None: | |
part_one += w * idx | |
break | |
print(part_one) |
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