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December 13, 2023 15:15
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Hexmap (Tsukuba) distance
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import math | |
from collections import deque | |
from typing import NamedTuple | |
import matplotlib.pyplot as plt | |
class ObliqueVector(NamedTuple): | |
xi: int | |
eta: int | |
def __mul__(self, other) -> float: | |
if isinstance(other, self.__class__): | |
return sum((a * b for a, b in zip(self.to_ortho(), other.to_ortho()))) | |
def __add__(self, other): | |
if isinstance(other, self.__class__): | |
return self.__class__(*(a + b for a, b in zip(self, other))) | |
def __str__(self): | |
return (tuple(self)).__str__() | |
def to_ortho(self) -> tuple[float]: | |
return (self.xi + self.eta / 2, self.eta * math.sqrt(3) / 2) | |
@property | |
def modtype(self) -> int: | |
return (self.xi - self.eta) % 3 | |
def get_dist_points(dist): | |
moves = { | |
0: [ObliqueVector(*v) for v in [(0, 1), (1, -1), (-1, 0)]], | |
2: [ObliqueVector(*v) for v in [(1, 0), (-1, 1), (0, -1)]], | |
} | |
dists = {} | |
deq = deque() | |
deq.append((ObliqueVector(0, 0), 0)) | |
while len(deq) > 0: | |
p = deq.popleft() | |
if p[0] in dists and dists[p[0]] <= p[1]: | |
continue | |
dists[p[0]] = p[1] | |
if p[1] == dist: | |
continue | |
for ds in moves[p[0].modtype]: | |
if p[0] * ds < 0: | |
continue | |
deq.append((p[0] + ds, p[1] + 1)) | |
return [p for p in dists.keys() if dists[p] == dist] | |
ps = get_dist_points(31) | |
# visualize | |
plt.axes().set_aspect("equal") | |
plt.scatter(*zip(*[ov.to_ortho() for ov in ps])) | |
plt.show() |
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