結果

問題 No.905 Sorted?
ユーザー stngstng
提出日時 2022-08-13 18:02:28
言語 PyPy3
(7.3.15)
結果
AC  
実行時間 388 ms / 2,000 ms
コード長 9,279 bytes
コンパイル時間 517 ms
コンパイル使用メモリ 82,304 KB
実行使用メモリ 96,768 KB
最終ジャッジ日時 2024-09-24 21:00:54
合計ジャッジ時間 6,480 ms
ジャッジサーバーID
(参考情報)
judge2 / judge1
このコードへのチャレンジ
(要ログイン)

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 39 ms
53,504 KB
testcase_01 AC 40 ms
54,528 KB
testcase_02 AC 40 ms
54,016 KB
testcase_03 AC 40 ms
54,016 KB
testcase_04 AC 40 ms
54,400 KB
testcase_05 AC 72 ms
74,000 KB
testcase_06 AC 58 ms
66,944 KB
testcase_07 AC 88 ms
77,308 KB
testcase_08 AC 386 ms
91,904 KB
testcase_09 AC 314 ms
87,828 KB
testcase_10 AC 351 ms
94,444 KB
testcase_11 AC 373 ms
94,064 KB
testcase_12 AC 373 ms
95,340 KB
testcase_13 AC 297 ms
93,916 KB
testcase_14 AC 388 ms
95,340 KB
testcase_15 AC 256 ms
96,768 KB
testcase_16 AC 273 ms
96,692 KB
testcase_17 AC 274 ms
96,256 KB
testcase_18 AC 270 ms
93,952 KB
testcase_19 AC 40 ms
53,760 KB
testcase_20 AC 39 ms
53,888 KB
testcase_21 AC 40 ms
53,888 KB
testcase_22 AC 40 ms
53,504 KB
権限があれば一括ダウンロードができます

ソースコード

diff #
プレゼンテーションモードにする

import sys
input = sys.stdin.buffer.readline
sys.setrecursionlimit(10 ** 7)
class SegTree(object):
def __init__(self, N, op_data, u_data):
self._n = N
self.log = (N-1).bit_length()
self.size = 1 << self.log
self.op = op_data
self.e = u_data
self.data = [u_data] * (2 * self.size)
# self.len = [1] * (2 * self.size)
def _update(self, i):
self.data[i] = self.op(self.data[i << 1], self.data[i << 1 | 1])
def initialize(self, arr=None):
""" segtreearrlen(arr) == N """
if arr:
for i, a in enumerate(arr, self.size):
self.data[i] = a
for i in reversed(range(1, self.size)):
self._update(i)
# self.len[i] = self.len[i << 1] + self.len[i << 1 | 1]
def update(self, p, x):
""" data[p] = x (0-indexed)"""
p += self.size
self.data[p] = x
for i in range(1, self.log + 1):
self._update(p >> i)
def get(self, p):
""" data[p] """
return self.data[p + self.size]
def prod(self, l, r):
"""
op_data(data[l], data[l+1], ..., data[r-1]) (0-indexed)
"""
sml = self.e
smr = self.e
l += self.size
r += self.size
while l < r:
if l & 1:
sml = self.op(sml, self.data[l])
l += 1
if r & 1:
r -= 1
smr = self.op(self.data[r], smr)
l >>= 1
r >>= 1
return self.op(sml, smr)
def all_prod(self):
""" op(data[0], data[1], ... data[N-1]) """
return self.data[1]
def max_right(self, l, func):
"""
func(l, l+1, ..., r-1) = True,
func(l, l+1, ..., r-1, r) = False r
"""
if l == self._n:
return self._n
l += self.size
sm = self.e
while True:
while l % 2 == 0:
l >>= 1
if not func(self.op(sm, self.data[l])):
while l < self.size:
l <<= 1
if func(self.op(sm, self.data[l])):
sm = self.op(sm, self.data[l])
l += 1
return l - self.size
sm = self.op(sm, self.data[l])
l += 1
if (l & -l) == l:
break
return self._n
def min_left(self, r, func):
"""
func( l, l+1, ..., r-1) = True,
func(l-1, l, l+1, ..., r-1) = False l
"""
if r == 0:
return 0
r += self.size
sm = self.e
while True:
r -= 1
while r > 1 and r & 1:
r >>= 1
if not func(self.op(self.data[r], sm)):
while r < self.size:
r = r << 1 | 1
if func(self.op(self.data[r], sm)):
sm = self.op(self.data[r], sm)
r -= 1
return r + 1 - self.size
sm = self.op(self.data[r], sm)
if (r & -r) == r:
break
return 0
class LazySegTree(SegTree):
def __init__(self, N, op_data, u_data, op_lazy, u_lazy, op_merge):
super().__init__(N, op_data, u_data)
self.composition = op_lazy
self.mapping = op_merge
self.id = u_lazy
self.lazy = [u_lazy] * self.size
def _all_apply(self, i, F):
# self.data[i] = self.mapping(F, self.data[i], self.len[i])
self.data[i] = self.mapping(F, self.data[i])
if i < self.size:
self.lazy[i] = self.composition(F, self.lazy[i])
def _push(self, i):
self._all_apply(i << 1, self.lazy[i])
self._all_apply(i << 1 | 1, self.lazy[i])
self.lazy[i] = self.id
def update(self, p, x):
""" data[p] = x (0-indexed)"""
p += self.size
for i in reversed(range(1, self.log + 1)):
self._push(p >> i)
self.data[p] = x
for i in range(1, self.log + 1):
self._update(p >> i)
def apply(self, p, F):
""" data[p]F(data[p] = op_merge(F, data[p]), 0-indexed) """
p += self.size
for i in reversed(range(1, self.log + 1)):
self._push(p >> i)
# self.data[p] = self.mapping(F, self.data[p], self.len[p])
self.data[p] = self.mapping(F, self.data[p])
for i in range(1, self.log + 1):
self._update(p >> i)
def range_apply(self, l, r, F):
""" i = l, l+1, ..., r-1 F(op_merge(F, data[i]), 0-indexed) """
if l == r:
return
l += self.size
r += self.size
for i in reversed(range(1, self.log + 1)): # too->down
if ((l >> i) << i) != l:
self._push(l >> i)
if ((r >> i) << i) != r:
self._push((r - 1) >> i)
l2, r2 = l, r
while l < r:
if l & 1:
self._all_apply(l, F)
l += 1
if r & 1:
r -= 1
self._all_apply(r, F)
l >>= 1
r >>= 1
l, r = l2, r2
for i in range(1, self.log + 1):
if ((l >> i) << i) != l:
self._update(l >> i)
if ((r >> i) << i) != r:
self._update((r - 1) >> i)
def get(self, p):
""" data[p] """
p += self.size
for i in reversed(range(1, self.log + 1)):
self._push(p >> i)
return self.data[p]
def prod(self, l, r):
"""
op_data(data[l], data[l+1], ..., data[r-1]) (0-indexed)
l == ru_data
"""
if l == r:
return self.e
l += self.size
r += self.size
for i in reversed(range(1, self.log + 1)):
if ((l >> i) << i) != l:
self._push(l >> i)
if ((r >> i) << i) != r:
self._push(r >> i)
sml = self.e
smr = self.e
while l < r:
if l & 1:
sml = self.op(sml, self.data[l])
l += 1
if r & 1:
r -= 1
smr = self.op(self.data[r], smr)
l >>= 1
r >>= 1
return self.op(sml, smr)
def max_right(self, l, func):
"""
func(l, l+1, ..., r-1) = True,
func(l, l+1, ..., r-1, r) = False r
"""
if l == self._n:
return self._n
l += self.size
for i in reversed(range(1, self.log + 1)):
self._push(l >> i)
sm = self.e
while True:
while l % 2 == 0:
l >>= 1
if not func(self.op(sm, self.data[[l]])):
while l < self.size:
self._push(l)
l <<= 1
if func(self.op(sm, self.data[l])):
sm = self.op(sm, self.data[l])
l += 1
return l - self.size
sm = self.op(sm, self.data[l])
l += 1
if (l & -l) == l:
break
return self._n
def min_left(self, r, func):
"""
func( l, l+1, ..., r-1) = True,
func(l-1, l, l+1, ..., r-1) = False l
"""
if r == 0:
return 0
r += self.size
for i in reversed(range(1, self.log + 1)):
self._push((r - 1) >> i)
sm = self.e
while True:
r -= 1
while r > 1 and r & 1:
r >>= 1
if not func(self.op(self.data[r], sm)):
while r < self.size:
self._push(r)
r = r << 1 | 1
if func(self.op(self.data[r], sm)):
sm = self.op(self.data[r], sm)
r -= 1
return r + 1 - self.size
sm = self.op(self.data[r], sm)
if (r & -r) == r:
break
return 0
"""
(ac-library)
op_data(d_L, d_R) : d_Ld_R, data
op_lazy(lz_new, lz_orig) : lz_origlz_new, lazy
op_merge(lz, d) : dlz, data
"""
n = int(input())
a = [int(i) for i in input().split()]
q = int(input())
lr = [[int(i) for i in input().split()] for j in range(q)]
segmax = SegTree(n, max, -1)
segmin = SegTree(n, min, 1)
old = a[0]
li = []
for i in range(n):
if old < a[i]:
li.append(1)
elif old == a[i]:
li.append(0)
else:
li.append(-1)
old = a[i]
#print(li)
segmax.initialize(li)
segmin.initialize(li)
for i in range(q):
l,r = lr[i]
#if l == r:
# print(1,1)
# continue
#print(li[l+1:r+1])
if segmin.prod(l+1,r+1) >= 0:
ans = 1
else:
ans = 0
#print(li[l+1:])
if segmax.prod(l+1,r+1) <= 0:
print(ans,1)
else:
print(ans,0)
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