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9159c4cc72
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f777d1a3b4
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from operator import itemgetter as ig
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with open("input20.txt") as f:
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lines = [line.rstrip() for line in f]
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iea = lines[0]
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data = {
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(x, y): c == "#"
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for x, line in enumerate(lines[2:])
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for y, c in enumerate(line)
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}
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def near(x, y):
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return ((a, b) for a in range(x - 1, x + 2) for b in range(y - 1, y + 2))
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def enhance(image, unkv):
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next_image = {}
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xmin, ymin = min(image, key=ig(0))[0] - 1, min(image, key=ig(1))[1] - 1
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xmax, ymax = max(image, key=ig(0))[0] + 1, max(image, key=ig(1))[1] + 1
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for x in range(xmin, xmax + 1):
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for y in range(ymin, ymax + 1):
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v = 0
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for nnp in near(x, y):
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v = (v << 1) | int(image.get(nnp, unkv))
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next_image[(x, y)] = iea[v] == "#"
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return next_image
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def solve(num_steps):
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image = data
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for i in range(num_steps):
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image = enhance(image, i % 2 == 1)
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print(sum(image.values()))
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solve(2)
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solve(50)
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from functools import cache
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with open("input21.txt") as f:
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lines = [line.rstrip() for line in f]
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ipos = (int(lines[0].rsplit()[-1]), int(lines[1].rsplit()[-1]))
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pos = list(ipos)
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scores = [0, 0]
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num_rolls = 0
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turn = 0
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while scores[0] < 1000 and scores[1] < 1000:
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roll = sum(range(num_rolls + 1, num_rolls + 4))
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num_rolls += 3
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pos[turn] = pos[turn] + roll
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pos[turn] = pos[turn] - ((pos[turn] - 1) // 10) * 10
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scores[turn] += pos[turn]
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turn = (turn + 1) % 2
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print(min(scores) * num_rolls)
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rolls_prob = [
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a + b + c for a in range(1, 4) for b in range(1, 4) for c in range(1, 4)
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]
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@cache
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def play(pos, scores, turn):
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if scores[0] >= 21:
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return 1, 0
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if scores[1] >= 21:
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return 0, 1
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w1, w2 = 0, 0
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nturn = (turn + 1) % 2
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for r in rolls_prob:
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p = pos[turn] + r
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p = p - ((p - 1) // 10) * 10
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if turn == 0:
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npos = p, pos[1]
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nscores = scores[0] + p, scores[1]
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else:
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npos = pos[0], p
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nscores = scores[0], scores[1] + p
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res1, res2 = play(npos, nscores, nturn)
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w1, w2 = w1 + res1, w2 + res2
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return w1, w2
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print(max(play(ipos, (0, 0), 0)))
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