結果
問題 | No.674 n連勤 |
ユーザー | None |
提出日時 | 2021-02-17 02:20:38 |
言語 | PyPy3 (7.3.15) |
結果 |
AC
|
実行時間 | 970 ms / 2,000 ms |
コード長 | 27,227 bytes |
コンパイル時間 | 163 ms |
コンパイル使用メモリ | 82,028 KB |
実行使用メモリ | 100,408 KB |
最終ジャッジ日時 | 2024-09-13 14:07:00 |
合計ジャッジ時間 | 5,601 ms |
ジャッジサーバーID (参考情報) |
judge4 / judge2 |
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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 | 73 ms
72,688 KB |
testcase_01 | AC | 75 ms
72,716 KB |
testcase_02 | AC | 74 ms
73,524 KB |
testcase_03 | AC | 73 ms
73,592 KB |
testcase_04 | AC | 73 ms
72,356 KB |
testcase_05 | AC | 73 ms
72,828 KB |
testcase_06 | AC | 73 ms
72,616 KB |
testcase_07 | AC | 74 ms
72,616 KB |
testcase_08 | AC | 73 ms
72,748 KB |
testcase_09 | AC | 73 ms
72,668 KB |
testcase_10 | AC | 74 ms
73,104 KB |
testcase_11 | AC | 128 ms
79,712 KB |
testcase_12 | AC | 187 ms
79,920 KB |
testcase_13 | AC | 187 ms
83,988 KB |
testcase_14 | AC | 157 ms
83,616 KB |
testcase_15 | AC | 208 ms
83,764 KB |
testcase_16 | AC | 970 ms
100,408 KB |
testcase_17 | AC | 577 ms
91,828 KB |
testcase_18 | AC | 576 ms
88,652 KB |
testcase_19 | AC | 156 ms
83,864 KB |
ソースコード
from __future__ import print_function import sys import traceback from bisect import bisect_left,bisect_right,insort from itertools import chain,repeat,starmap from math import log from operator import add,eq,ne,gt,ge,lt,le,iadd from textwrap import dedent try: from collections.abc import Sequence,MutableSequence except ImportError: from collections import Sequence,MutableSequence from functools import wraps from sys import hexversion if hexversion<0x03000000: try: from thread import get_ident except ImportError: from dummy_thread import get_ident else: from functools import reduce try: from _thread import get_ident except ImportError: from _dummy_thread import get_ident def recursive_repr(fillvalue='...'): "Decorator to make a repr function return fillvalue for a recursive call." # pylint: disable=missing-docstring # Copied from reprlib in Python 3 # https://hg.python.org/cpython/file/3.6/Lib/reprlib.py def decorating_function(user_function): repr_running=set() @wraps(user_function) def wrapper(self): key=id(self),get_ident() if key in repr_running: return fillvalue repr_running.add(key) try: result=user_function(self) finally: repr_running.discard(key) return result return wrapper return decorating_function class SortedList(MutableSequence): DEFAULT_LOAD_FACTOR=1000 def __init__(self,iterable=None,key=None): assert key is None self._len=0 self._load=self.DEFAULT_LOAD_FACTOR self._lists=[] self._maxes=[] self._index=[] self._offset=0 if iterable is not None: self._update(iterable) def __new__(cls,iterable=None,key=None): if key is None: return object.__new__(cls) else: if cls is SortedList: return object.__new__(SortedKeyList) else: raise TypeError('inherit SortedKeyList for key argument') @property def key(self): # pylint: disable=useless-return return None def _reset(self,load): values=reduce(iadd,self._lists,[]) self._clear() self._load=load self._update(values) def clear(self): self._len=0 del self._lists[:] del self._maxes[:] del self._index[:] self._offset=0 _clear=clear def add(self,value): _lists=self._lists _maxes=self._maxes if _maxes: pos=bisect_right(_maxes,value) if pos==len(_maxes): pos-=1 _lists[pos].append(value) _maxes[pos]=value else: insort(_lists[pos],value) self._expand(pos) else: _lists.append([value]) _maxes.append(value) self._len+=1 def _expand(self,pos): _load=self._load _lists=self._lists _index=self._index if len(_lists[pos])>(_load<<1): _maxes=self._maxes _lists_pos=_lists[pos] half=_lists_pos[_load:] del _lists_pos[_load:] _maxes[pos]=_lists_pos[-1] _lists.insert(pos+1,half) _maxes.insert(pos+1,half[-1]) del _index[:] else: if _index: child=self._offset+pos while child: _index[child]+=1 child=(child-1)>>1 _index[0]+=1 def update(self,iterable): _lists=self._lists _maxes=self._maxes values=sorted(iterable) if _maxes: if len(values)*4>=self._len: _lists.append(values) values=reduce(iadd,_lists,[]) values.sort() self._clear() else: _add=self.add for val in values: _add(val) return _load=self._load _lists.extend(values[pos:(pos+_load)] for pos in range(0,len(values),_load)) _maxes.extend(sublist[-1] for sublist in _lists) self._len=len(values) del self._index[:] _update=update def __contains__(self,value): _maxes=self._maxes if not _maxes: return False pos=bisect_left(_maxes,value) if pos==len(_maxes): return False _lists=self._lists idx=bisect_left(_lists[pos],value) return _lists[pos][idx]==value def discard(self,value): _maxes=self._maxes if not _maxes: return pos=bisect_left(_maxes,value) if pos==len(_maxes): return _lists=self._lists idx=bisect_left(_lists[pos],value) if _lists[pos][idx]==value: self._delete(pos,idx) def remove(self,value): _maxes=self._maxes if not _maxes: raise ValueError('{0!r} not in list'.format(value)) pos=bisect_left(_maxes,value) if pos==len(_maxes): raise ValueError('{0!r} not in list'.format(value)) _lists=self._lists idx=bisect_left(_lists[pos],value) if _lists[pos][idx]==value: self._delete(pos,idx) else: raise ValueError('{0!r} not in list'.format(value)) def _delete(self,pos,idx): _lists=self._lists _maxes=self._maxes _index=self._index _lists_pos=_lists[pos] del _lists_pos[idx] self._len-=1 len_lists_pos=len(_lists_pos) if len_lists_pos>(self._load>>1): _maxes[pos]=_lists_pos[-1] if _index: child=self._offset+pos while child>0: _index[child]-=1 child=(child-1)>>1 _index[0]-=1 elif len(_lists)>1: if not pos: pos+=1 prev=pos-1 _lists[prev].extend(_lists[pos]) _maxes[prev]=_lists[prev][-1] del _lists[pos] del _maxes[pos] del _index[:] self._expand(prev) elif len_lists_pos: _maxes[pos]=_lists_pos[-1] else: del _lists[pos] del _maxes[pos] del _index[:] def _loc(self,pos,idx): if not pos: return idx _index=self._index if not _index: self._build_index() total=0 # Increment pos to point in the index to len(self._lists[pos]). pos+=self._offset # Iterate until reaching the root of the index tree at pos = 0. while pos: # Right-child nodes are at odd indices. At such indices # account the total below the left child node. if not pos&1: total+=_index[pos-1] # Advance pos to the parent node. pos=(pos-1)>>1 return total+idx def _pos(self,idx): if idx<0: last_len=len(self._lists[-1]) if (-idx)<=last_len: return len(self._lists)-1,last_len+idx idx+=self._len if idx<0: raise IndexError('list index out of range') elif idx>=self._len: raise IndexError('list index out of range') if idx<len(self._lists[0]): return 0,idx _index=self._index if not _index: self._build_index() pos=0 child=1 len_index=len(_index) while child<len_index: index_child=_index[child] if idx<index_child: pos=child else: idx-=index_child pos=child+1 child=(pos<<1)+1 return (pos-self._offset,idx) def _build_index(self): row0=list(map(len,self._lists)) if len(row0)==1: self._index[:]=row0 self._offset=0 return head=iter(row0) tail=iter(head) row1=list(starmap(add,zip(head,tail))) if len(row0)&1: row1.append(row0[-1]) if len(row1)==1: self._index[:]=row1+row0 self._offset=1 return size=2**(int(log(len(row1)-1,2))+1) row1.extend(repeat(0,size-len(row1))) tree=[row0,row1] while len(tree[-1])>1: head=iter(tree[-1]) tail=iter(head) row=list(starmap(add,zip(head,tail))) tree.append(row) reduce(iadd,reversed(tree),self._index) self._offset=size*2-1 def __delitem__(self,index): if isinstance(index,slice): start,stop,step=index.indices(self._len) if step==1 and start<stop: if start==0 and stop==self._len: return self._clear() elif self._len<=8*(stop-start): values=self._getitem(slice(None,start)) if stop<self._len: values+=self._getitem(slice(stop,None)) self._clear() return self._update(values) indices=range(start,stop,step) # Delete items from greatest index to least so # that the indices remain valid throughout iteration. if step>0: indices=reversed(indices) _pos,_delete=self._pos,self._delete for index in indices: pos,idx=_pos(index) _delete(pos,idx) else: pos,idx=self._pos(index) self._delete(pos,idx) def __getitem__(self,index): _lists=self._lists if isinstance(index,slice): start,stop,step=index.indices(self._len) if step==1 and start<stop: # Whole slice optimization: start to stop slices the whole # sorted list. if start==0 and stop==self._len: return reduce(iadd,self._lists,[]) start_pos,start_idx=self._pos(start) start_list=_lists[start_pos] stop_idx=start_idx+stop-start # Small slice optimization: start index and stop index are # within the start list. if len(start_list)>=stop_idx: return start_list[start_idx:stop_idx] if stop==self._len: stop_pos=len(_lists)-1 stop_idx=len(_lists[stop_pos]) else: stop_pos,stop_idx=self._pos(stop) prefix=_lists[start_pos][start_idx:] middle=_lists[(start_pos+1):stop_pos] result=reduce(iadd,middle,prefix) result+=_lists[stop_pos][:stop_idx] return result if step==-1 and start>stop: result=self._getitem(slice(stop+1,start+1)) result.reverse() return result # Return a list because a negative step could # reverse the order of the items and this could # be the desired behavior. indices=range(start,stop,step) return list(self._getitem(index) for index in indices) else: if self._len: if index==0: return _lists[0][0] elif index==-1: return _lists[-1][-1] else: raise IndexError('list index out of range') if 0<=index<len(_lists[0]): return _lists[0][index] len_last=len(_lists[-1]) if -len_last<index<0: return _lists[-1][len_last+index] pos,idx=self._pos(index) return _lists[pos][idx] _getitem=__getitem__ def __setitem__(self,index,value): message='use ``del sl[index]`` and ``sl.add(value)`` instead' raise NotImplementedError(message) def __iter__(self): return chain.from_iterable(self._lists) def __reversed__(self): return chain.from_iterable(map(reversed,reversed(self._lists))) def reverse(self): raise NotImplementedError('use ``reversed(sl)`` instead') def islice(self,start=None,stop=None,reverse=False): _len=self._len if not _len: return iter(()) start,stop,_=slice(start,stop).indices(self._len) if start>=stop: return iter(()) _pos=self._pos min_pos,min_idx=_pos(start) if stop==_len: max_pos=len(self._lists)-1 max_idx=len(self._lists[-1]) else: max_pos,max_idx=_pos(stop) return self._islice(min_pos,min_idx,max_pos,max_idx,reverse) def _islice(self,min_pos,min_idx,max_pos,max_idx,reverse): _lists=self._lists if min_pos>max_pos: return iter(()) if min_pos==max_pos: if reverse: indices=reversed(range(min_idx,max_idx)) return map(_lists[min_pos].__getitem__,indices) indices=range(min_idx,max_idx) return map(_lists[min_pos].__getitem__,indices) next_pos=min_pos+1 if next_pos==max_pos: if reverse: min_indices=range(min_idx,len(_lists[min_pos])) max_indices=range(max_idx) return chain( map(_lists[max_pos].__getitem__,reversed(max_indices)), map(_lists[min_pos].__getitem__,reversed(min_indices)), ) min_indices=range(min_idx,len(_lists[min_pos])) max_indices=range(max_idx) return chain( map(_lists[min_pos].__getitem__,min_indices), map(_lists[max_pos].__getitem__,max_indices), ) if reverse: min_indices=range(min_idx,len(_lists[min_pos])) sublist_indices=range(next_pos,max_pos) sublists=map(_lists.__getitem__,reversed(sublist_indices)) max_indices=range(max_idx) return chain( map(_lists[max_pos].__getitem__,reversed(max_indices)), chain.from_iterable(map(reversed,sublists)), map(_lists[min_pos].__getitem__,reversed(min_indices)), ) min_indices=range(min_idx,len(_lists[min_pos])) sublist_indices=range(next_pos,max_pos) sublists=map(_lists.__getitem__,sublist_indices) max_indices=range(max_idx) return chain( map(_lists[min_pos].__getitem__,min_indices), chain.from_iterable(sublists), map(_lists[max_pos].__getitem__,max_indices), ) def irange(self,minimum=None,maximum=None,inclusive=(True,True), reverse=False): _maxes=self._maxes if not _maxes: return iter(()) _lists=self._lists # Calculate the minimum (pos, idx) pair. By default this location # will be inclusive in our calculation. if minimum is None: min_pos=0 min_idx=0 else: if inclusive[0]: min_pos=bisect_left(_maxes,minimum) if min_pos==len(_maxes): return iter(()) min_idx=bisect_left(_lists[min_pos],minimum) else: min_pos=bisect_right(_maxes,minimum) if min_pos==len(_maxes): return iter(()) min_idx=bisect_right(_lists[min_pos],minimum) # Calculate the maximum (pos, idx) pair. By default this location # will be exclusive in our calculation. if maximum is None: max_pos=len(_maxes)-1 max_idx=len(_lists[max_pos]) else: if inclusive[1]: max_pos=bisect_right(_maxes,maximum) if max_pos==len(_maxes): max_pos-=1 max_idx=len(_lists[max_pos]) else: max_idx=bisect_right(_lists[max_pos],maximum) else: max_pos=bisect_left(_maxes,maximum) if max_pos==len(_maxes): max_pos-=1 max_idx=len(_lists[max_pos]) else: max_idx=bisect_left(_lists[max_pos],maximum) return self._islice(min_pos,min_idx,max_pos,max_idx,reverse) def __len__(self): return self._len def bisect_left(self,value): _maxes=self._maxes if not _maxes: return 0 pos=bisect_left(_maxes,value) if pos==len(_maxes): return self._len idx=bisect_left(self._lists[pos],value) return self._loc(pos,idx) def bisect_right(self,value): _maxes=self._maxes if not _maxes: return 0 pos=bisect_right(_maxes,value) if pos==len(_maxes): return self._len idx=bisect_right(self._lists[pos],value) return self._loc(pos,idx) bisect=bisect_right _bisect_right=bisect_right def upper_bound(self,x,equal=False): k=self.bisect_left(x+equal) if k: return self[k-1] else: return None def lower_bound(self,x,equal=False): k=self.bisect_left(x+1-equal)+1 if k<=len(self): return self[k-1] else: return None def count(self,value): _maxes=self._maxes if not _maxes: return 0 pos_left=bisect_left(_maxes,value) if pos_left==len(_maxes): return 0 _lists=self._lists idx_left=bisect_left(_lists[pos_left],value) pos_right=bisect_right(_maxes,value) if pos_right==len(_maxes): return self._len-self._loc(pos_left,idx_left) idx_right=bisect_right(_lists[pos_right],value) if pos_left==pos_right: return idx_right-idx_left right=self._loc(pos_right,idx_right) left=self._loc(pos_left,idx_left) return right-left def copy(self): return self.__class__(self) __copy__=copy def append(self,value): raise NotImplementedError('use ``sl.add(value)`` instead') def extend(self,values): raise NotImplementedError('use ``sl.update(values)`` instead') def insert(self,index,value): raise NotImplementedError('use ``sl.add(value)`` instead') def pop(self,index=-1): if not self._len: raise IndexError('pop index out of range') _lists=self._lists if index==0: val=_lists[0][0] self._delete(0,0) return val if index==-1: pos=len(_lists)-1 loc=len(_lists[pos])-1 val=_lists[pos][loc] self._delete(pos,loc) return val if 0<=index<len(_lists[0]): val=_lists[0][index] self._delete(0,index) return val len_last=len(_lists[-1]) if -len_last<index<0: pos=len(_lists)-1 loc=len_last+index val=_lists[pos][loc] self._delete(pos,loc) return val pos,idx=self._pos(index) val=_lists[pos][idx] self._delete(pos,idx) return val def index(self,value,start=None,stop=None): _len=self._len if not _len: raise ValueError('{0!r} is not in list'.format(value)) if start is None: start=0 if start<0: start+=_len if start<0: start=0 if stop is None: stop=_len if stop<0: stop+=_len if stop>_len: stop=_len if stop<=start: raise ValueError('{0!r} is not in list'.format(value)) _maxes=self._maxes pos_left=bisect_left(_maxes,value) if pos_left==len(_maxes): raise ValueError('{0!r} is not in list'.format(value)) _lists=self._lists idx_left=bisect_left(_lists[pos_left],value) if _lists[pos_left][idx_left]!=value: raise ValueError('{0!r} is not in list'.format(value)) stop-=1 left=self._loc(pos_left,idx_left) if start<=left: if left<=stop: return left else: right=self._bisect_right(value)-1 if start<=right: return start raise ValueError('{0!r} is not in list'.format(value)) def __add__(self,other): values=reduce(iadd,self._lists,[]) values.extend(other) return self.__class__(values) __radd__=__add__ def __iadd__(self,other): self._update(other) return self def __mul__(self,num): values=reduce(iadd,self._lists,[])*num return self.__class__(values) __rmul__=__mul__ def __imul__(self,num): values=reduce(iadd,self._lists,[])*num self._clear() self._update(values) return self def __make_cmp(seq_op,symbol,doc): "Make comparator method." def comparer(self,other): "Compare method for sorted list and sequence." if not isinstance(other,Sequence): return NotImplemented self_len=self._len len_other=len(other) if self_len!=len_other: if seq_op is eq: return False if seq_op is ne: return True for alpha,beta in zip(self,other): if alpha!=beta: return seq_op(alpha,beta) return seq_op(self_len,len_other) seq_op_name=seq_op.__name__ comparer.__name__='__{0}__'.format(seq_op_name) doc_str="""Return true if and only if sorted list is {0} `other`. ``sl.__{1}__(other)`` <==> ``sl {2} other`` Comparisons use lexicographical order as with sequences. Runtime complexity: `O(n)` :param other: `other` sequence :return: true if sorted list is {0} `other` """ comparer.__doc__=dedent(doc_str.format(doc,seq_op_name,symbol)) return comparer __eq__=__make_cmp(eq,'==','equal to') __ne__=__make_cmp(ne,'!=','not equal to') __lt__=__make_cmp(lt,'<','less than') __gt__=__make_cmp(gt,'>','greater than') __le__=__make_cmp(le,'<=','less than or equal to') __ge__=__make_cmp(ge,'>=','greater than or equal to') __make_cmp=staticmethod(__make_cmp) def __reduce__(self): values=reduce(iadd,self._lists,[]) return (type(self),(values,)) @recursive_repr() def __repr__(self): return '{0}({1!r})'.format(type(self).__name__,list(self)) def _check(self): try: assert self._load>=4 assert len(self._maxes)==len(self._lists) assert self._len==sum(len(sublist) for sublist in self._lists) # Check all sublists are sorted. for sublist in self._lists: for pos in range(1,len(sublist)): assert sublist[pos-1]<=sublist[pos] # Check beginning/end of sublists are sorted. for pos in range(1,len(self._lists)): assert self._lists[pos-1][-1]<=self._lists[pos][0] # Check _maxes index is the last value of each sublist. for pos in range(len(self._maxes)): assert self._maxes[pos]==self._lists[pos][-1] # Check sublist lengths are less than double load-factor. double=self._load<<1 assert all(len(sublist)<=double for sublist in self._lists) # Check sublist lengths are greater than half load-factor for all # but the last sublist. half=self._load>>1 for pos in range(0,len(self._lists)-1): assert len(self._lists[pos])>=half if self._index: assert self._len==self._index[0] assert len(self._index)==self._offset+len(self._lists) # Check index leaf nodes equal length of sublists. for pos in range(len(self._lists)): leaf=self._index[self._offset+pos] assert leaf==len(self._lists[pos]) # Check index branch nodes are the sum of their children. for pos in range(self._offset): child=(pos<<1)+1 if child>=len(self._index): assert self._index[pos]==0 elif child+1==len(self._index): assert self._index[pos]==self._index[child] else: child_sum=self._index[child]+self._index[child+1] assert child_sum==self._index[pos] except: traceback.print_exc(file=sys.stdout) print('len',self._len) print('load',self._load) print('offset',self._offset) print('len_index',len(self._index)) print('index',self._index) print('len_maxes',len(self._maxes)) print('maxes',self._maxes) print('len_lists',len(self._lists)) print('lists',self._lists) raise def identity(value): "Identity function." return value class SortedInterval: def __init__(self): self.SL = SortedList() self.rs = {} self.length = 0 def add(self, l, r): prev_l = self.SL.upper_bound(l) if prev_l is not None and l <= self.rs[prev_l]: l = prev_l r = max2(r, self.rs[prev_l]) del self.rs[prev_l] self.SL.remove(prev_l) removed = [] next_l=self.SL.lower_bound(l,equal=True) while next_l is not None and next_l<=r: removed.append(next_l) next_l=self.SL.lower_bound(next_l) for next_l in removed: r = max2(r, self.rs[next_l]) del self.rs[next_l] self.SL.remove(next_l) self.SL.add(l) self.rs[l] = r # 新しく生成された区間の大きさを返す return r - l def sum(self): res=0 for l in self.SL: res+=self.rs[l]-l+1 return res def __iter__(self): for l in self.SL: yield l, self.rs[l] def max2(x,y): return x if x > y else y ######################################################### import sys input = sys.stdin.readline from bisect import bisect_left, bisect_right # example() N, Q = map(int, input().split()) intervals = [] data=[] for _ in range(Q): l,r=map(int, input().split()) intervals.append((l,r)) data.append(l) data.append(r+1) SI = SortedInterval() ans = 0 for l, r in intervals: ans = max(SI.add(l, r + 1), ans) print(ans)