from collections import defaultdict from itertools import combinations import math class UnionFind: def __init__(self, n): self.par = list(range(n)) def find(self, x): if self.par[x] == x: return x else: self.par[x] = self.find(self.par[x]) return self.par[x] def union(self, x, y): x = self.find(x) y = self.find(y) if x == y: return self.par[x] = y def convex_hull(P): def veccross(A, B, C): return (C[0] - A[0]) * (B[1] - A[1]) - (C[1] - A[1]) * (B[0] - A[0]) n = len(P) if n <= 2: return list(range(n)) ps = [None] * n for i in range(n): ps[i] = (P[i], i) ps.sort() k = 0 res = [0] * (n * 2) for i in range(n): while k > 1 and veccross(P[res[k - 2]], P[res[k - 1]], ps[i][0]) <= 0: k -= 1 res[k] = ps[i][1] k += 1 t = k for i in range(n - 2, -1, -1): while k > t and veccross(P[res[k - 2]], P[res[k - 1]], ps[i][0]) <= 0: k -= 1 res[k] = ps[i][1] k += 1 return res[:k - 1] def m_dist(g, xs, ys): ps = [(xs[i], ys[i]) for i in g] os = convex_hull(ps) ma = 0 for i, j in combinations(os, 2): ma = max(ma, (ps[i][0] - ps[j][0]) ** 2 + (ps[i][1] - ps[j][1]) ** 2) return ma def solve(): N = int(input()) XS = [0] * N YS = [0] * N B = defaultdict(list) def b(x, y): if 0 <= x <= 2000 and 0 <= y <= 2000: return B[x, y] else: return [] ds = [(-1, -1), (0, -1), (1, -1), (-1, 0), (0, 0), (1, 0), (-1, 1), (0, 1), (1, 1)] uf = UnionFind(N) for i in range(N): x, y = map(int, input().split()) x += 10000 y += 10000 XS[i] = x YS[i] = y x10 = x // 10 y10 = y // 10 for dx, dy in ds: for j in b(x10 + dx, y10 + dy): if (x - XS[j]) ** 2 + (y - YS[j]) ** 2 <= 100: uf.union(i, j) B[x10, y10].append(i) gd = defaultdict(list) for i in range(N): gd[uf.find(i)].append(i) if len(gd) == 0: print(1) else: ma = 0 for g in gd.values(): ma = max(ma, m_dist(g, XS, YS)) print(math.sqrt(ma) + 2) if __name__ == '__main__': solve()