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@kege_informatics657 подп.
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13 марта 2026 г.
statsScore: 496
27 27637 (1 вариант апробации) from math import dist data = [list(map(float, i.strip().replace(',', '.').split())) for i in open('27_B_27637.txt')] def getCluster(p0, max_distance): cluster = [p0] data.remove(p0) for p in cluster: sosed = [s for s in data if dist(p,s) < max_distance] cluster += sosed for s in sosed: data.remove(s) return cluster clusters = [] while data: clusters.append(getCluster(data[0], 1)) print(len(clusters)) from turtle import screensize(1500,1500) tracer(0) scale = 10 up() colors = ["red", "green", "blue"] for number, cluster in enumerate(clusters): for x, y in cluster: goto(x scale, y * scale) dot(3, colors[number]) done() def getCenter(cl): minSum = 10**10 for p0 in cl: sum_dist = sum(dist(p0, p) for p in cl) if sum_dist < minSum: minSum = sum_dist center = p0 return center centers = [getCenter(cluster) for cluster in clusters] L = [len(c) for c in clusters] L1 = sorted(L) middle = L.index(L1[1]) greatest = L.index(L[0]) print(L) B1 = len([p for p in clusters[middle] if dist(p, centers[middle]) <= 1.6 and p != centers[middle]]) B2 = max([dist(p, centers[greatest]) for p in clusters[greatest]]) print(B1, int(B2*10000))
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27 27637 (1 вариант апробации) from math import dist data = — @kege_informatics | PostSniper