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Signed-off-by: Rob Grant <rob.grant@nanoporetech.com>
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from itertools import combinations_with_replacement | ||
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from inputs import REAL as data | ||
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points = set(tuple(map(int, line.split(","))) for line in data.split("\n")) | ||
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MANHATTAN_3D = ((1, 0, 0), (-1, 0, 0), (0, 1, 0), (0, -1, 0), (0, 0, 1), (0, 0, -1)) | ||
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CUBES = set(tuple(map(int, line.split(","))) for line in data.split("\n")) | ||
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def face_count(c, cubes): | ||
return sum((c[0] + xd, c[1] + yd, c[2] + zd) not in cubes for xd, yd, zd in MANHATTAN_3D) | ||
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def face_count(p, points): | ||
return sum((p[0] + xd, p[1] + yd, p[2] + zd) not in points for xd, yd, zd in ((1, 0, 0), (-1, 0, 0), (0, 1, 0), (0, -1, 0), (0, 0, 1), (0, 0, -1))) | ||
def face_count_in_steam(c, steam): | ||
return sum((c[0] + xd, c[1] + yd, c[2] + zd) in steam for xd, yd, zd in MANHATTAN_3D) | ||
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def fill_with_steam(cubes): | ||
cubes_list = list(cubes) | ||
x_min, y_min, z_min = cubes_list[0] | ||
x_max, y_max, z_max = cubes_list[0] | ||
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for c in cubes_list[1:]: | ||
x_min, x_max = min(x_min, c[0]), max(x_max, c[0]) | ||
y_min, y_max = min(y_min, c[1]), max(y_max, c[1]) | ||
z_min, z_max = min(z_min, c[2]), max(z_max, c[2]) | ||
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steam = set() | ||
cubes_touching_steam = set() | ||
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candidate_steam = [(x_min - 1, y_min - 1, z_min - 1)] | ||
while candidate_steam: | ||
s = candidate_steam.pop() | ||
if s not in steam: | ||
steam.add(s) | ||
for dx, dy, dz in MANHATTAN_3D: | ||
m = s[0] + dx, s[1] + dy, s[2] + dz | ||
if (x_min - 1) <= m[0] <= (x_max + 1) and (y_min - 1) <= m[1] <= (y_max + 1) and (z_min - 1) <= m[2] <= (z_max + 1): | ||
if m in cubes: | ||
cubes_touching_steam.add(m) | ||
if m not in steam and m not in cubes: | ||
candidate_steam.append(m) | ||
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return cubes_touching_steam, steam | ||
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cubes_touching_steam, steam = fill_with_steam(CUBES) | ||
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print(f"Part 1: {sum(face_count(p, points) for p in points)}") | ||
print(f"Part 1: {sum(face_count(c, CUBES) for c in CUBES)}") | ||
print(f"Part 2: {sum(face_count_in_steam(c, steam) for c in cubes_touching_steam)}") |