結果
| 問題 |
No.1967 Sugoroku Optimization
|
| コンテスト | |
| ユーザー |
rlangevin
|
| 提出日時 | 2023-04-27 12:29:24 |
| 言語 | PyPy3 (7.3.15) |
| 結果 |
TLE
|
| 実行時間 | - |
| コード長 | 4,330 bytes |
| コンパイル時間 | 722 ms |
| コンパイル使用メモリ | 82,176 KB |
| 実行使用メモリ | 320,344 KB |
| 最終ジャッジ日時 | 2024-11-16 19:56:32 |
| 合計ジャッジ時間 | 31,873 ms |
|
ジャッジサーバーID (参考情報) |
judge5 / judge2 |
(要ログイン)
| ファイルパターン | 結果 |
|---|---|
| sample | AC * 1 TLE * 2 |
| other | AC * 14 TLE * 7 |
ソースコード
class LazySegmentTree:
def __init__(
self,
n,
indentity_e_node,
indentity_e_lazy,
combine_node_f,
combine_lazy_f,
reflect_f,
):
self._n = n
self._size = 1
self._height = 0
while self._size < self._n:
self._size <<= 1
self._height += 1
self._indentity_e_node = indentity_e_node
self._indentity_e_lazy = indentity_e_lazy
self._combine_node_f = combine_node_f
self._combine_lazy_f = combine_lazy_f
self._reflect_f = reflect_f
self._node = [self._indentity_e_node] * (2 * self._size)
self._lazy = [self._indentity_e_lazy] * (2 * self._size)
#遅延データの値を値データに反映させたときの値を返す。
def _reflect_lazy(self, index):
return self._reflect_f(self._node[index], self._lazy[index])
def _propagate_from_top(self, index):
index += self._size
for h in range(self._height, 0, -1):
i = index >> h
if self._lazy[i] != self._indentity_e_lazy:
self._lazy[i << 1] = self._combine_lazy_f(
self._lazy[i << 1], self._lazy[i]
)
self._lazy[i << 1 | 1] = self._combine_lazy_f(
self._lazy[i << 1 | 1], self._lazy[i]
)
self._node[i] = self._reflect_lazy(i)
self._lazy[i] = self._indentity_e_lazy
def _update_from_bottom(self, index):
index = (index + self._size) >> 1
while index:
self._node[index] = self._combine_node_f(
self._reflect_lazy(index << 1),
self._reflect_lazy(index << 1 | 1)
)
index >>= 1
def build(self, array):
assert len(array) == self._n
for index, value in enumerate(array, start=self._size):
self._node[index] = value
for index in range(self._size - 1, 0, -1):
self._node[index] = self._combine_node_f(
self._node[index << 1],
self._node[index << 1 | 1]
)
# 区間更新 位置[L, R) (0-indexed)を値valueで更新
def update(self, L, R, value):
self._propagate_from_top(L)
self._propagate_from_top(R - 1)
L_lazy = L + self._size
R_lazy = R + self._size
while L_lazy < R_lazy:
if L_lazy & 1:
self._lazy[L_lazy] = self._combine_lazy_f(self._lazy[L_lazy], value)
L_lazy += 1
if R_lazy & 1:
R_lazy -= 1
self._lazy[R_lazy] = self._combine_lazy_f(self._lazy[R_lazy], value)
L_lazy >>= 1
R_lazy >>= 1
self._update_from_bottom(L)
self._update_from_bottom(R - 1)
# 区間取得 区間[L, R) (0-indexed)内の要素について
# L番目から順にcombine_node_fを適用した値を返す。
def fold(self, L, R):
self._propagate_from_top(L)
self._propagate_from_top(R - 1)
L += self._size
R += self._size
value_L = self._indentity_e_node
value_R = self._indentity_e_node
while L < R:
if L & 1:
value_L = self._combine_node_f(value_L, self._reflect_lazy(L))
L += 1
if R & 1:
R -= 1
value_R = self._combine_node_f(value_R, self._reflect_lazy(R))
L >>= 1
R >>= 1
return self._combine_node_f(value_L, value_R)
N, K = map(int, input().split())
inv = [1] * (N + 1)
mod = 998244353
for i in range(1, N + 1):
inv[i] = pow(i, mod - 2, mod)
# pre = [0] * (N + 1)
# pre[0] = 1
pre = LazySegmentTree(N + 1, 0, 0, max, lambda x, y:x+y, lambda x, y:x+y)
ans = 0
pre.update(0, 1, 1)
for k in range(K):
now = LazySegmentTree(N + 1, 0, 0, max, lambda x, y:x+y, lambda x, y:x+y)
for i in range(N):
# for j in range(i + 1, N + 1):
# now[j] += inv[N - i] * pre[i]
now.update(i + 1, N + 1, inv[N - i] * pre.fold(i, i + 1) % mod)
ans += now.fold(N, N + 1)
ans %= mod
pre, now = now, pre
print(ans)
rlangevin