結果
| 問題 |
No.674 n連勤
|
| コンテスト | |
| ユーザー |
nephrologist
|
| 提出日時 | 2023-01-25 15:41:49 |
| 言語 | PyPy3 (7.3.15) |
| 結果 |
AC
|
| 実行時間 | 536 ms / 2,000 ms |
| コード長 | 11,258 bytes |
| コンパイル時間 | 205 ms |
| コンパイル使用メモリ | 82,176 KB |
| 実行使用メモリ | 87,272 KB |
| 最終ジャッジ日時 | 2024-06-26 20:10:43 |
| 合計ジャッジ時間 | 3,869 ms |
|
ジャッジサーバーID (参考情報) |
judge3 / judge4 |
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| ファイルパターン | 結果 |
|---|---|
| sample | AC * 3 |
| other | AC * 17 |
ソースコード
import sys
input = sys.stdin.buffer.readline
ans = 0
d, q = map(int, input().split())
"""
区間をset
c.f. https://mugen1337.github.io/procon/DataStructure/RangeSet.cpp
sortedset
this library is written by tatyam-san.
c.f. https://github.com/tatyam-prime/SortedSet
SS = SortedSet(A)
SS.len(): 長さ
x in SS: 含むかどうか
SS.add(x): xを加える
SS.discard(x): xを除く
SS.lt/le/gt/ge: 未満/以下/超/以上の要素を返す
SS[x]:下からx番目の要素
SS.index(x): x未満の要素の数、xが含まれていれば0-indexのidx
SS.index_rihgt(x): x以下の要素の数
SMS=SortedMultiSet(A)
だいたい同じ
SMS.count(x):xの数
"""
# https://github.com/tatyam-prime/SortedSet/blob/main/SortedMultiset.py
import math
from bisect import bisect_left, bisect_right, insort
from typing import Generic, Iterable, Iterator, List, TypeVar, Union
T = TypeVar("T")
class SortedMultiset(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 SortedMultiset from iterable. / O(N) if sorted / O(N log N)"
a = list(a)
if not all(a[i] <= a[i + 1] for i in range(len(a) - 1)):
a = sorted(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 "SortedMultiset" + 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 count(self, x: T) -> int:
"Count the number of x."
return self.index_right(x) - self.index(x)
def add(self, x: T) -> None:
"Add an element. / O(√N)"
if self.size == 0:
self.a = [[x]]
self.size = 1
return
a = self._find_bucket(x)
insort(a, x)
self.size += 1
if len(a) > len(self.a) * self.REBUILD_RATIO:
self._build()
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 doesnt 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 doesnt 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 doesnt 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 doesnt 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 doesnt 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
# 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 doesnt 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 doesnt 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 doesnt 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 doesnt 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 doesnt 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
SS = SortedSet()
infi = 1 << 60 # 10 ** 9 相当
# banpe
SS.add((-infi, -infi))
SS.add((infi, infi))
def is_covered(left, right, SS):
temp = SS.le((left + 1, left + 1))
return temp[0] <= left and right <= temp[1]
def covered_by_kukan(left, right, SS):
temp = SS.le((left + 1, left + 1))
if temp[0] <= left and right <= temp[1]:
return temp
return (-infi, -infi)
def covered_by_point(x, SS):
return covered_by_kukan(x, x, SS)
# insertして、増加分を返す
def insert(left, right, SS):
global ans
temp = SS.lt((left + 1, left + 1))
idx = SS.index(temp) # 二度手間
if temp[0] <= left and right <= temp[1]:
return 0
temp_erased = 0
# わかりにくいけど、tempが左端より左から始まって、
# くっつくか、left<temp.1<rightのとき
# これだと区間が合体する
if temp[0] <= left and left <= temp[1] + 1:
left = temp[0]
temp_erased += temp[1] - temp[0] + 1
# erase(temp[0], temp[1], SS)
SS.discard(temp)
# 合体しないときはiter++とする
else:
idx += 1
temp = SS[idx]
while right > temp[1]:
temp_erased += temp[1] - temp[0] + 1
SS.discard(temp)
# 多分eraseしたのと打ち消してidxはそのままでよいはず
temp = SS[idx]
# print("temp", temp, "leftright", left, right)
if temp[0] - 1 <= right and right <= temp[1]:
temp_erased += temp[1] - temp[0] + 1
right = temp[1]
SS.discard(temp)
SS.add((left, right))
ans = max(right - left + 1, ans)
return right - left + 1 - temp_erased
# def erase(left,right,SS):
for _ in range(q):
a, b = map(int, input().split())
insert(a, b, SS)
# print("i", _, "SS", SS)
print(ans)
nephrologist