結果
| 問題 | No.1718 Random Squirrel |
| ユーザー |
 chineristAC
|
| 提出日時 | 2021-10-22 22:43:53 |
| 言語 | PyPy3 (7.3.15) |
| 結果 |
AC
|
| 実行時間 | 548 ms / 2,000 ms |
| コード長 | 17,582 bytes |
| コンパイル時間 | 223 ms |
| コンパイル使用メモリ | 82,256 KB |
| 実行使用メモリ | 120,036 KB |
| 最終ジャッジ日時 | 2024-09-23 06:27:08 |
| 合計ジャッジ時間 | 10,158 ms |
|
ジャッジサーバーID （参考情報） |
judge2 / judge5 |
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テストケース
テストケース表示| 入力 | 結果 | 実行時間 実行使用メモリ |
|---|---|---|
| testcase_00 | AC | 52 ms
60,436 KB |
| testcase_01 | AC | 51 ms
61,188 KB |
| testcase_02 | AC | 54 ms
60,872 KB |
| testcase_03 | AC | 53 ms
60,316 KB |
| testcase_04 | AC | 51 ms
61,228 KB |
| testcase_05 | AC | 51 ms
60,944 KB |
| testcase_06 | AC | 50 ms
60,444 KB |
| testcase_07 | AC | 51 ms
61,432 KB |
| testcase_08 | AC | 50 ms
61,400 KB |
| testcase_09 | AC | 51 ms
60,796 KB |
| testcase_10 | AC | 51 ms
60,512 KB |
| testcase_11 | AC | 361 ms
98,340 KB |
| testcase_12 | AC | 232 ms
84,032 KB |
| testcase_13 | AC | 358 ms
94,460 KB |
| testcase_14 | AC | 384 ms
99,892 KB |
| testcase_15 | AC | 369 ms
103,724 KB |
| testcase_16 | AC | 280 ms
88,628 KB |
| testcase_17 | AC | 348 ms
97,220 KB |
| testcase_18 | AC | 460 ms
119,136 KB |
| testcase_19 | AC | 387 ms
102,756 KB |
| testcase_20 | AC | 236 ms
85,520 KB |
| testcase_21 | AC | 445 ms
106,224 KB |
| testcase_22 | AC | 548 ms
120,036 KB |
| testcase_23 | AC | 517 ms
106,616 KB |
| testcase_24 | AC | 471 ms
107,044 KB |
| testcase_25 | AC | 517 ms
119,752 KB |
| testcase_26 | AC | 236 ms
105,504 KB |
| testcase_27 | AC | 250 ms
105,600 KB |
| testcase_28 | AC | 225 ms
105,376 KB |
| testcase_29 | AC | 275 ms
108,432 KB |
| testcase_30 | AC | 278 ms
115,468 KB |
| testcase_31 | AC | 251 ms
107,876 KB |
| testcase_32 | AC | 273 ms
108,436 KB |
ソースコード
def divisors(M):
d=[]
i=1
while M>=i**2:
if M%i==0:
d.append(i)
if i**2!=M:
d.append(M//i)
i=i+1
return d
def popcount(x):
x = x - ((x >> 1) & 0x55555555)
x = (x & 0x33333333) + ((x >> 2) & 0x33333333)
x = (x + (x >> 4)) & 0x0f0f0f0f
x = x + (x >> 8)
x = x + (x >> 16)
return x & 0x0000007f
def eratosthenes(n):
res=[0 for i in range(n+1)]
prime=set([])
for i in range(2,n+1):
if not res[i]:
prime.add(i)
for j in range(1,n//i+1):
res[i*j]=1
return prime
def factorization(n):
res=[]
for p in prime:
if n%p==0:
while n%p==0:
n//=p
res.append(p)
if n!=1:
res.append(n)
return res
def euler_phi(n):
res = n
for x in range(2,n+1):
if x ** 2 > n:
break
if n%x==0:
res = res//x * (x-1)
while n%x==0:
n //= x
if n!=1:
res = res//n * (n-1)
return res
def ind(b,n):
res=0
while n%b==0:
res+=1
n//=b
return res
def isPrimeMR(n):
d = n - 1
d = d // (d & -d)
L = [2, 3, 5, 7, 11, 13, 17]
for a in L:
t = d
y = pow(a, t, n)
if y == 1: continue
while y != n - 1:
y = (y * y) % n
if y == 1 or t == n - 1: return 0
t <<= 1
return 1
def findFactorRho(n):
from math import gcd
m = 1 << n.bit_length() // 8
for c in range(1, 99):
f = lambda x: (x * x + c) % n
y, r, q, g = 2, 1, 1, 1
while g == 1:
x = y
for i in range(r):
y = f(y)
k = 0
while k < r and g == 1:
ys = y
for i in range(min(m, r - k)):
y = f(y)
q = q * abs(x - y) % n
g = gcd(q, n)
k += m
r <<= 1
if g == n:
g = 1
while g == 1:
ys = f(ys)
g = gcd(abs(x - ys), n)
if g < n:
if isPrimeMR(g): return g
elif isPrimeMR(n // g): return n // g
return findFactorRho(g)
def primeFactor(n):
i = 2
ret = {}
rhoFlg = 0
while i*i <= n:
k = 0
while n % i == 0:
n //= i
k += 1
if k: ret[i] = k
i += 1 + i % 2
if i == 101 and n >= 2 ** 20:
while n > 1:
if isPrimeMR(n):
ret[n], n = 1, 1
else:
rhoFlg = 1
j = findFactorRho(n)
k = 0
while n % j == 0:
n //= j
k += 1
ret[j] = k
if n > 1: ret[n] = 1
if rhoFlg: ret = {x: ret[x] for x in sorted(ret)}
return ret
def divisors(n):
res = [1]
prime = primeFactor(n)
for p in prime:
newres = []
for d in res:
for j in range(prime[p]+1):
newres.append(d*p**j)
res = newres
res.sort()
return res
def xorconv(n,X,Y):
if n==0:
res=[(X[0]*Y[0])%mod]
return res
x=[X[i]+X[i+2**(n-1)] for i in range(2**(n-1))]
y=[Y[i]+Y[i+2**(n-1)] for i in range(2**(n-1))]
z=[X[i]-X[i+2**(n-1)] for i in range(2**(n-1))]
w=[Y[i]-Y[i+2**(n-1)] for i in range(2**(n-1))]
res1=xorconv(n-1,x,y)
res2=xorconv(n-1,z,w)
former=[(res1[i]+res2[i])*inv for i in range(2**(n-1))]
latter=[(res1[i]-res2[i])*inv for i in range(2**(n-1))]
former=list(map(lambda x:x%mod,former))
latter=list(map(lambda x:x%mod,latter))
return former+latter
def merge_sort(A,B):
pos_A,pos_B = 0,0
n,m = len(A),len(B)
res = []
while pos_A < n and pos_B < m:
a,b = A[pos_A],B[pos_B]
if a < b:
res.append(a)
pos_A += 1
else:
res.append(b)
pos_B += 1
res += A[pos_A:]
res += B[pos_B:]
return res
class UnionFindVerSize():
def __init__(self, N):
self._parent = [n for n in range(0, N)]
self._size = [1] * N
self.group = N
def find_root(self, x):
if self._parent[x] == x: return x
self._parent[x] = self.find_root(self._parent[x])
stack = [x]
while self._parent[stack[-1]]!=stack[-1]:
stack.append(self._parent[stack[-1]])
for v in stack:
self._parent[v] = stack[-1]
return self._parent[x]
def unite(self, x, y):
gx = self.find_root(x)
gy = self.find_root(y)
if gx == gy: return
self.group -= 1
if self._size[gx] < self._size[gy]:
self._parent[gx] = gy
self._size[gy] += self._size[gx]
else:
self._parent[gy] = gx
self._size[gx] += self._size[gy]
def get_size(self, x):
return self._size[self.find_root(x)]
def is_same_group(self, x, y):
return self.find_root(x) == self.find_root(y)
class WeightedUnionFind():
def __init__(self,N):
self.parent = [i for i in range(N)]
self.size = [1 for i in range(N)]
self.val = [0 for i in range(N)]
self.flag = True
self.edge = [[] for i in range(N)]
def dfs(self,v,pv):
stack = [(v,pv)]
new_parent = self.parent[pv]
while stack:
v,pv = stack.pop()
self.parent[v] = new_parent
for nv,w in self.edge[v]:
if nv!=pv:
self.val[nv] = self.val[v] + w
stack.append((nv,v))
def unite(self,x,y,w):
if not self.flag:
return
if self.parent[x]==self.parent[y]:
self.flag = (self.val[x] - self.val[y] == w)
return
if self.size[self.parent[x]]>self.size[self.parent[y]]:
self.edge[x].append((y,-w))
self.edge[y].append((x,w))
self.size[x] += self.size[y]
self.val[y] = self.val[x] - w
self.dfs(y,x)
else:
self.edge[x].append((y,-w))
self.edge[y].append((x,w))
self.size[y] += self.size[x]
self.val[x] = self.val[y] + w
self.dfs(x,y)
class Dijkstra():
class Edge():
def __init__(self, _to, _cost):
self.to = _to
self.cost = _cost
def __init__(self, V):
self.G = [[] for i in range(V)]
self._E = 0
self._V = V
@property
def E(self):
return self._E
@property
def V(self):
return self._V
def add_edge(self, _from, _to, _cost):
self.G[_from].append(self.Edge(_to, _cost))
self._E += 1
def shortest_path(self, s):
import heapq
que = []
d = [10**15] * self.V
d[s] = 0
heapq.heappush(que, (0, s))
while len(que) != 0:
cost, v = heapq.heappop(que)
if d[v] < cost: continue
for i in range(len(self.G[v])):
e = self.G[v][i]
if d[e.to] > d[v] + e.cost:
d[e.to] = d[v] + e.cost
heapq.heappush(que, (d[e.to], e.to))
return d
#Z[i]:length of the longest list starting from S[i] which is also a prefix of S
#O(|S|)
def Z_algorithm(s):
N = len(s)
Z_alg = [0]*N
Z_alg[0] = N
i = 1
j = 0
while i < N:
while i+j < N and s[j] == s[i+j]:
j += 1
Z_alg[i] = j
if j == 0:
i += 1
continue
k = 1
while i+k < N and k + Z_alg[k]<j:
Z_alg[i+k] = Z_alg[k]
k += 1
i += k
j -= k
return Z_alg
class BIT():
def __init__(self,n,mod=0):
self.BIT = [0]*(n+1)
self.num = n
self.mod = mod
def query(self,idx):
res_sum = 0
mod = self.mod
while idx > 0:
res_sum += self.BIT[idx]
if mod:
res_sum %= mod
idx -= idx&(-idx)
return res_sum
#Ai += x O(logN)
def update(self,idx,x):
mod = self.mod
while idx <= self.num:
self.BIT[idx] += x
if mod:
self.BIT[idx] %= mod
idx += idx&(-idx)
return
class dancinglink():
def __init__(self,n,debug=False):
self.n = n
self.debug = debug
self._left = [i-1 for i in range(n)]
self._right = [i+1 for i in range(n)]
self.exist = [True for i in range(n)]
def pop(self,k):
if self.debug:
assert self.exist[k]
L = self._left[k]
R = self._right[k]
if L!=-1:
if R!=self.n:
self._right[L],self._left[R] = R,L
else:
self._right[L] = self.n
elif R!=self.n:
self._left[R] = -1
self.exist[k] = False
def left(self,idx,k=1):
if self.debug:
assert self.exist[idx]
res = idx
while k:
res = self._left[res]
if res==-1:
break
k -= 1
return res
def right(self,idx,k=1):
if self.debug:
assert self.exist[idx]
res = idx
while k:
res = self._right[res]
if res==self.n:
break
k -= 1
return res
class SparseTable():
def __init__(self,A,merge_func,ide_ele):
N = len(A)
self.merge_func = merge_func
self.lg = [0]*(N + 1)
for i in range(2, N+1):
self.lg[i] = self.lg[i >> 1] + 1
self.pow_2 = [pow(2,i) for i in range(20)]
self.table = [None]*(self.lg[N] + 1)
st0 = self.table[0] = [a for a in A]
b = 1
for i in range(self.lg[N]):
st0 = self.table[i+1] = [self.merge_func(u,v) for u, v in zip(st0, st0[b:])]
b <<= 1
def query(self,s,t):
b = t-s+1
m = self.lg[b]
return self.merge_func(self.table[m][s],self.table[m][t-self.pow_2[m]+1])
class BinaryTrie:
class node:
def __init__(self,val):
self.left = None
self.right = None
self.max = val
def __init__(self):
self.root = self.node(-10**15)
def append(self,key,val):
pos = self.root
for i in range(29,-1,-1):
pos.max = max(pos.max,val)
if key>>i & 1:
if pos.right is None:
pos.right = self.node(val)
pos = pos.right
else:
pos = pos.right
else:
if pos.left is None:
pos.left = self.node(val)
pos = pos.left
else:
pos = pos.left
pos.max = max(pos.max,val)
def search(self,M,xor):
res = -10**15
pos = self.root
for i in range(29,-1,-1):
if pos is None:
break
if M>>i & 1:
if xor>>i & 1:
if pos.right:
res = max(res,pos.right.max)
pos = pos.left
else:
if pos.left:
res = max(res,pos.left.max)
pos = pos.right
else:
if xor>>i & 1:
pos = pos.right
else:
pos = pos.left
if pos:
res = max(res,pos.max)
return res
def solveequation(edge,ans,n,m):
#edge=[[to,dire,id]...]
def dfs(v):
used[v]=True
r=ans[v]
for to,dire,id in edge[v]:
if used[to]:
continue
y=dfs(to)
if dire==-1:
x[id]=y
else:
x[id]=-y
r+=y
return r
x=[0]*m
used=[False]*n
for v in range(n):
if used[v]:
continue
y = dfs(v)
if y!=0:
return False
return x
class slope_trick():
def __init__(self):
self.L = [10**17]
self.R = [10**17]
self.min_f = 0
self.x_left = 0
self.x_right = 0
def add_right(self,a):
a -= self.x_left
l0 = -self.L[0]
self.min_f = self.min_f + max(0,l0-a)
if l0 <= a:
a += self.x_left
a -= self.x_right
heappush(self.R,a)
else:
heappush(self.L,-a)
a = -heappop(self.L)
a += self.x_left
a -= self.x_right
heappush(self.R,a)
#self.min_f = self.min_f + max(0,l0-a)
def add_left(self,a):
a -= self.x_right
r0 = self.R[0]
self.min_f = self.min_f + max(0,a-r0)
if a <= r0:
a += self.x_right
a -= self.x_left
heappush(self.L,-a)
else:
heappush(self.R,a)
a = heappop(self.R)
a += self.x_right
a -= self.x_left
heappush(self.L,-a)
#self.min_f = self.min_f + max(0,a-r0)
def add_abs(self,a):
self.add_left(a)
self.add_right(a)
def change_min_slide(self,a,b):
self.x_left += a
self.x_right += b
def get_val(self,x):
L = [-l+self.x_left for l in self.L]
L.sort()
R = [r+self.x_right for r in self.R]
R.sort()
res = self.min_f
if 0 < L[-1]:
L = L[::-1]
n = len(L)
for i in range(n):
c0 = L[i]
c1 = L[i+1]
if c1 <= x <= c0:
res += (i+1) * (c0-x)
break
else:
res += (i+1) * (c0-c1)
return res
elif L[-1] <= x <= R[0]:
return res
else:
n = len(R)
for i in range(n):
c0 = R[i]
c1 = R[i+1]
if c0 <= x <= c1:
res += (i+1) * (x-c0)
break
else:
res += (i+1) * (c1-c0)
return res
def fwt(n,A):
assert len(A) == 2**n
for i in range(n):
t = 2**i
for j in range(2**n):
if j&t==0:
A[j] += A[j|t]
return A
def ifwt(n,A):
assert len(A) == 2**n
for i in range(n):
t = 2**i
for j in range(2**n):
if j&t==0:
A[j] -= A[j|t]
return A
import sys,random
from collections import deque
input = lambda :sys.stdin.readline().rstrip()
mi = lambda :map(int,input().split())
li = lambda :list(mi())
N,K = mi()
edge = [[] for i in range(N)]
for _ in range(N-1):
u,v = mi()
edge[u-1].append(v-1)
edge[v-1].append(u-1)
D = li()
D = set([d-1 for d in D])
ans = [0] * N
parent = [-1] * N
deq = deque([0])
topo = []
while deq:
v = deq.popleft()
topo.append(v)
for nv in edge[v]:
if nv!=parent[v]:
parent[nv] = v
deq.append(nv)
for v in range(N):
edge[v] = [nv for nv in edge[v] if nv!=parent[v]]
bottom_size = [0]*N
bottom_M = [-1]*N
bottom_ds = [0]*N
for v in topo[::-1]:
for nv in edge[v]:
if nv!=parent[v]:
bottom_ds[v] += bottom_size[nv] + bottom_ds[nv]
bottom_size[v] += bottom_size[nv]
if bottom_size[nv]:
bottom_M[v] = max(bottom_M[v],bottom_M[nv]+1)
if v in D:
bottom_size[v] += 1
bottom_M[v] = max(bottom_M[v],0)
top_size = [0]*N
top_ds = [0]*N
top_M = [-1]*N
for v in topo:
for nv in edge[v]:
top_size[nv] = bottom_size[v] - bottom_size[nv] + top_size[v]
top_ds[nv] = bottom_ds[v] - (bottom_ds[nv]+bottom_size[nv]) + top_size[nv] + top_ds[v]
if top_M[v]!=-1:
top_M[nv] = max(top_M[nv],top_M[v]+1)
if v in D:
top_M[nv] = max(top_M[nv],1)
left = [bottom_M[nv] for nv in edge[v]]
right = [bottom_M[nv] for nv in edge[v]]
n = len(edge[v])
for i in range(1,n):
left[i] = max(left[i],left[i-1])
for i in range(n-2,-1,-1):
right[i] = max(right[i],right[i+1])
for i in range(n):
tmp = -1
if i!=0 and left[i-1]!=-1:
tmp = max(tmp,left[i-1]+2)
if i!=n-1 and right[i+1]!=-1:
tmp = max(tmp,right[i+1]+2)
nv = edge[v][i]
top_M[nv] = max(top_M[nv],tmp)
is_tree = [False for v in range(N)]
for v in range(N):
if v in D:
is_tree[v] = True
else:
if top_size[v]:
if bottom_size[v]:
is_tree[v] = True
else:
cnt = 0
for nv in edge[v]:
if bottom_size[nv]:
cnt += 1
if cnt >= 2:
is_tree[v] = True
S = sum(is_tree)
dist = [N+1 for v in range(N)]
for v in range(N):
if is_tree[v]:
dist[v] = 0
deq = deque([v for v in range(N) if is_tree[v]])
while deq:
v = deq.popleft()
for nv in edge[v]:
if dist[nv] > dist[v] + 1:
dist[nv] = dist[v] + 1
deq.append(nv)
nv = parent[v]
if nv!=-1 and dist[nv] > dist[v] + 1:
dist[nv] = dist[v] + 1
deq.append(nv)
for v in range(N):
ans[v] = 2 * (S-1) + 2 * dist[v] - max(bottom_M[v],top_M[v])
print(ans[v])