結果
| 問題 | No.1827 最長部分スーパーリッチ門松列列 |
| ユーザー |
👑  rin204
|
| 提出日時 | 2022-01-28 22:30:45 |
| 言語 | PyPy3 (7.3.15) |
| 結果 |
WA
|
| 実行時間 | - |
| コード長 | 6,629 bytes |
| コンパイル時間 | 318 ms |
| コンパイル使用メモリ | 86,864 KB |
| 実行使用メモリ | 273,324 KB |
| 最終ジャッジ日時 | 2023-08-28 20:40:18 |
| 合計ジャッジ時間 | 31,795 ms |
|
ジャッジサーバーID （参考情報） |
judge11 / judge13 |
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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 | 158 ms
80,284 KB |
| testcase_01 | AC | 158 ms
80,360 KB |
| testcase_02 | AC | 159 ms
80,204 KB |
| testcase_03 | WA | - |
| testcase_04 | WA | - |
| testcase_05 | WA | - |
| testcase_06 | WA | - |
| testcase_07 | WA | - |
| testcase_08 | WA | - |
| testcase_09 | WA | - |
| testcase_10 | WA | - |
| testcase_11 | WA | - |
| testcase_12 | WA | - |
| testcase_13 | WA | - |
| testcase_14 | AC | 1,682 ms
272,384 KB |
| testcase_15 | WA | - |
| testcase_16 | AC | 1,677 ms
269,488 KB |
| testcase_17 | WA | - |
| testcase_18 | TLE | - |
| testcase_19 | WA | - |
| testcase_20 | WA | - |
| testcase_21 | WA | - |
| testcase_22 | AC | 800 ms
172,196 KB |
| testcase_23 | AC | 807 ms
173,328 KB |
| testcase_24 | AC | 794 ms
172,392 KB |
ソースコード
class SegTree():
def __init__(self, n, e, ope, lst=[]):
self.N0 = 2 ** (n - 1).bit_length()
self.e = e
self.ope = ope
self.data = [e] * (2 * self.N0)
if lst:
for i in range(n):
self.data[self.N0 + i] = lst[i]
for i in range(self.N0 - 1, 0, -1):
self.data[i] = self.ope(self.data[2 * i], self.data[2 * i + 1])
def f5(self):
for i in range(self.N0 - 1, 0, -1):
self.data[i] = self.ope(self.data[2 * i], self.data[2 * i + 1])
def update(self, i, x): #a_iの値をxに更新
i += self.N0
self.data[i] = x
while i > 1:
i >>= 1
self.data[i] = self.ope(self.data[2 * i], self.data[2 * i + 1])
def add(self, i, x):
self.update(i, x + self.get(i))
def query(self, l, r): #区間[l, r)での演算結果
if r <= l:
return self.e
lres = self.e
rres = self.e
l += self.N0
r += self.N0
while l < r:
if l & 1:
lres = self.ope(lres, self.data[l])
l += 1
if r & 1:
r -= 1
rres = self.ope(self.data[r], rres)
l >>= 1
r >>= 1
return self.ope(lres, rres)
def get(self, i): #a_iの値を返す
return self.data[self.N0 + i]
# https://github.com/tatyam-prime/SortedSet/blob/main/SortedSet.py
import math
from bisect import bisect_left, bisect_right
from typing import Generic, Iterable, Iterator, TypeVar, Union, List
T = TypeVar('T')
class SortedSet(Generic[T]):
BUCKET_RATIO = 50
REBUILD_RATIO = 170
def _build(self, a=None) -> None:
"Evenly divide `a` into buckets."
if a is None: a = list(self)
size = self.size = len(a)
bucket_size = int(math.ceil(math.sqrt(size / self.BUCKET_RATIO)))
self.a = [a[size * i // bucket_size : size * (i + 1) // bucket_size] for i in range(bucket_size)]
def __init__(self, a: Iterable[T] = []) -> None:
"Make a new SortedSet from iterable. / O(N) if sorted and unique / O(N log N)"
a = list(a)
if not all(a[i] < a[i + 1] for i in range(len(a) - 1)):
a = sorted(set(a))
self._build(a)
def __iter__(self) -> Iterator[T]:
for i in self.a:
for j in i: yield j
def __reversed__(self) -> Iterator[T]:
for i in reversed(self.a):
for j in reversed(i): yield j
def __len__(self) -> int:
return self.size
def __repr__(self) -> str:
return "SortedSet" + str(self.a)
def __str__(self) -> str:
s = str(list(self))
return "{" + s[1 : len(s) - 1] + "}"
def _find_bucket(self, x: T) -> List[T]:
"Find the bucket which should contain x. self must not be empty."
for a in self.a:
if x <= a[-1]: return a
return a
def __contains__(self, x: T) -> bool:
if self.size == 0: return False
a = self._find_bucket(x)
i = bisect_left(a, x)
return i != len(a) and a[i] == x
def add(self, x: T) -> bool:
"Add an element and return True if added. / O(√N)"
if self.size == 0:
self.a = [[x]]
self.size = 1
return True
a = self._find_bucket(x)
i = bisect_left(a, x)
if i != len(a) and a[i] == x: return False
a.insert(i, x)
self.size += 1
if len(a) > len(self.a) * self.REBUILD_RATIO:
self._build()
return True
def discard(self, x: T) -> bool:
"Remove an element and return True if removed. / O(√N)"
if self.size == 0: return False
a = self._find_bucket(x)
i = bisect_left(a, x)
if i == len(a) or a[i] != x: return False
a.pop(i)
self.size -= 1
if len(a) == 0: self._build()
return True
def lt(self, x: T) -> Union[T, None]:
"Find the largest element < x, or None if it doesn't exist."
for a in reversed(self.a):
if a[0] < x:
return a[bisect_left(a, x) - 1]
def le(self, x: T) -> Union[T, None]:
"Find the largest element <= x, or None if it doesn't exist."
for a in reversed(self.a):
if a[0] <= x:
return a[bisect_right(a, x) - 1]
def gt(self, x: T) -> Union[T, None]:
"Find the smallest element > x, or None if it doesn't exist."
for a in self.a:
if a[-1] > x:
return a[bisect_right(a, x)]
def ge(self, x: T) -> Union[T, None]:
"Find the smallest element >= x, or None if it doesn't exist."
for a in self.a:
if a[-1] >= x:
return a[bisect_left(a, x)]
def __getitem__(self, x: int) -> T:
"Return the x-th element, or IndexError if it doesn't exist."
if x < 0: x += self.size
if x < 0: raise IndexError
for a in self.a:
if x < len(a): return a[x]
x -= len(a)
raise IndexError
def index(self, x: T) -> int:
"Count the number of elements < x."
ans = 0
for a in self.a:
if a[-1] >= x:
return ans + bisect_left(a, x)
ans += len(a)
return ans
def index_right(self, x: T) -> int:
"Count the number of elements <= x."
ans = 0
for a in self.a:
if a[-1] > x:
return ans + bisect_right(a, x)
ans += len(a)
return ans
def solve():
n = int(input())
P = list(map(int, input().split()))
P = [p - 1 for p in P]
A = [-1] * n
for i, p in enumerate(P):
A[p] = i
used = [False] * n
e = 0
ope = lambda x, y: max(x, y)
seg = SegTree(n, e, ope, P)
sl = SortedSet()
sl.add(-1)
sl.add(n)
ma = n - 1
for i, p in enumerate(A):
if p != 0 and used[p - 1]:
continue
if p != n - 1 and used[p + 1]:
continue
il = sl.lt(p)
ir = sl.gt(p)
sl.add(p)
mm = ma
if p != 0:
mm = min(mm, seg.query(il + 1, p))
if p != n - 1:
mm = min(mm, seg.query(p + 1, ir))
if i >= mm:
pass
else:
used[p] = True
ma = mm
ans = 2 * sum(used) + 1
if used[0]:
ans -= 1
if used[-1]:
ans -= 1
print(ans)
for _ in range(int(input())):
solve()