from scipy.spatial import KDTree


n, m, k = map(int, input().split())
p, q = map(int, input().split())
station = [tuple(map(int, input().split())) for _ in range(n)]
target = [tuple(map(int, input().split())) for _ in range(k)]

tree = KDTree(station)

d = tree.query((p, q), 1)[0]

dists = tree.query(target, 1)[0]
ans = 0
for (x, y), res in zip(target, dists):
    dx = x - p
    dy = y - q
    dist = min(d + res, (dx * dx + dy * dy) ** 0.5)
    ans += dist

print(2 * ans)