import os,sys,random,threading #sys.exit() 退出程序 from random import randint,choice,shuffle #randint(a,b)从[a,b]范围随机选择一个数 #choice(seq)seq可以是一个列表,元组或字符串,从seq中随机选取一个元素 #shuffle(x)将一个可变的序列x中的元素打乱 from copy import deepcopy from io import BytesIO,IOBase from types import GeneratorType from functools import lru_cache,reduce #reduce(op,迭代对象) from bisect import bisect_left,bisect_right #bisect_left(x) 大于等于x的第一个下标 #bisect_right(x) 大于x的第一个下标 from collections import Counter,defaultdict,deque from itertools import accumulate,combinations,permutations #accumulate(a)用a序列生成一个累积迭代器,一般list化前面放个[0]做前缀和用 #combinations(a,k)a序列选k个 组合迭代器 #permutations(a,k)a序列选k个 排列迭代器 from heapq import heapify,heappop,heappush #heapify将列表转为堆 from typing import Generic,Iterable,Iterator,TypeVar,Union,List from string import ascii_lowercase,ascii_uppercase,digits #小写字母,大写字母,十进制数字 from math import ceil,floor,sqrt,pi,factorial,gcd,log,log10,log2,inf #ceil向上取整,floor向下取整 ,sqrt开方 ,factorial阶乘 from decimal import Decimal,getcontext #Decimal(s) 实例化Decimal对象,一般使用字符串 #getcontext().prec=100 修改精度 from sys import stdin, stdout, setrecursionlimit input = lambda: sys.stdin.readline().rstrip("\r\n") MI = lambda :map(int,input().split()) li = lambda :list(MI()) ii = lambda :int(input()) mod = int(1e9 + 7) #998244353 inf = int(1e20) py = lambda :print("YES") pn = lambda :print("NO") DIRS = [(0, 1), (1, 0), (0, -1), (-1, 0)] # 右下左上 DIRS8 = [(0, 1), (1, 1), (1, 0), (1, -1), (0, -1), (-1, -1), (-1, 0),(-1, 1)] # →↘↓↙←↖↑↗ class BIT: """单点修改,区间和查询""" __slots__ = "size", "bit", "tree" def __init__(self, n: int): self.size = n self.bit = n.bit_length() self.tree = [0]*(n+1) def add(self, index: int, delta: int) -> None: # index 必须大于0 while index <= self.size: self.tree[index]+=delta index += index & -index def _query(self, index: int) -> int: res = 0 while index > 0: res += self.tree[index] index -= index & -index return res def query(self, left: int, right: int) -> int: return self._query(right) - self._query(left - 1) def bisectLeft(self, k: int) -> int: """返回第一个前缀和大于等于k的位置pos 1 <= pos <= self.size + 1 """ curSum, pos = 0, 0 for i in range(self.bit, -1, -1): nextPos = pos + (1 << i) if nextPos <= self.size and curSum + self.tree[nextPos] < k: pos = nextPos curSum += self.tree[pos] return pos + 1 class SortedList: def __init__(self, iterable=[], _load=200): """Initialize sorted list instance.""" values = sorted(iterable) self._len = _len = len(values);self._load = _load self._lists = _lists = [values[i:i + _load] for i in range(0, _len, _load)] self._list_lens = [len(_list) for _list in _lists] self._mins = [_list[0] for _list in _lists] self._fen_tree = [];self._rebuild = True def _fen_build(self): self._fen_tree[:] = self._list_lens _fen_tree = self._fen_tree for i in range(len(_fen_tree)): if i | i + 1 < len(_fen_tree): _fen_tree[i | i + 1] += _fen_tree[i] self._rebuild = False def _fen_update(self, index, value): if not self._rebuild: _fen_tree = self._fen_tree while index < len(_fen_tree): _fen_tree[index] += value index |= index + 1 def _fen_query(self, end): if self._rebuild:self._fen_build() _fen_tree = self._fen_tree;x = 0 while end: x += _fen_tree[end - 1] end &= end - 1 return x def _fen_findkth(self, k): _list_lens = self._list_lens if k < _list_lens[0]:return 0, k if k >= self._len - _list_lens[-1]: return len(_list_lens) - 1, k + _list_lens[-1] - self._len if self._rebuild:self._fen_build() _fen_tree = self._fen_tree idx = -1 for d in reversed(range(len(_fen_tree).bit_length())): right_idx = idx + (1 << d) if right_idx < len(_fen_tree) and k >= _fen_tree[right_idx]: idx = right_idx k -= _fen_tree[idx] return idx + 1, k def _delete(self, pos, idx): _lists = self._lists _mins = self._mins _list_lens = self._list_lens self._len -= 1 self._fen_update(pos, -1) del _lists[pos][idx] _list_lens[pos] -= 1 if _list_lens[pos]:_mins[pos] = _lists[pos][0] else: del _lists[pos] del _list_lens[pos] del _mins[pos] self._rebuild = True def _loc_left(self, value): if not self._len:return 0, 0 _lists = self._lists _mins = self._mins lo, pos = -1, len(_lists) - 1 while lo + 1 < pos: mi = (lo + pos) >> 1 if value <= _mins[mi]:pos = mi else:lo = mi if pos and value <= _lists[pos - 1][-1]:pos -= 1 _list = _lists[pos] lo, idx = -1, len(_list) while lo + 1 < idx: mi = (lo + idx) >> 1 if value <= _list[mi]:idx = mi else:lo = mi return pos, idx def _loc_right(self, value): if not self._len:return 0, 0 _lists = self._lists _mins = self._mins pos, hi = 0, len(_lists) while pos + 1 < hi: mi = (pos + hi) >> 1 if value < _mins[mi]:hi = mi else:pos = mi _list = _lists[pos] lo, idx = -1, len(_list) while lo + 1 < idx: mi = (lo + idx) >> 1 if value < _list[mi]:idx = mi else:lo = mi return pos, idx def add(self, value): _load = self._load _lists = self._lists _mins = self._mins _list_lens = self._list_lens self._len += 1 if _lists: pos, idx = self._loc_right(value) self._fen_update(pos, 1) _list = _lists[pos] _list.insert(idx, value) _list_lens[pos] += 1 _mins[pos] = _list[0] if _load + _load < len(_list): _lists.insert(pos + 1, _list[_load:]) _list_lens.insert(pos + 1, len(_list) - _load) _mins.insert(pos + 1, _list[_load]) _list_lens[pos] = _load del _list[_load:] self._rebuild = True else: _lists.append([value]) _mins.append(value) _list_lens.append(1) self._rebuild = True def discard(self, value): _lists = self._lists if _lists: pos, idx = self._loc_right(value) if idx and _lists[pos][idx - 1] == value: self._delete(pos, idx - 1) def remove(self, value): _len = self._len self.discard(value) if _len == self._len:raise Valueerror('{0!r} not in list'.format(value)) def pop(self, index=-1): pos, idx = self._fen_findkth(self._len + index if index < 0 else index) value = self._lists[pos][idx] self._delete(pos, idx) return value def bisect_left(self, value): pos, idx = self._loc_left(value) return self._fen_query(pos) + idx def bisect_right(self, value): pos, idx = self._loc_right(value) return self._fen_query(pos) + idx def count(self, value): return self.bisect_right(value) - self.bisect_left(value) def __len__(self): return self._len def __getitem__(self, index): pos, idx = self._fen_findkth(self._len + index if index < 0 else index) return self._lists[pos][idx] def __delitem__(self, index): pos, idx = self._fen_findkth(self._len + index if index < 0 else index) self._delete(pos, idx) def __contains__(self, value): _lists = self._lists if _lists: pos, idx = self._loc_left(value) return idx < len(_lists[pos]) and _lists[pos][idx] == value return False def __iter__(self): return (value for _list in self._lists for value in _list) def __reversed__(self): return (value for _list in reversed(self._lists) for value in reversed(_list)) def __repr__(self): return 'SortedList({0})'.format(list(self)) class chain: def __init__(self,n): #维护每个节点的前驱后继,初始时每个点的前驱和后继都是自己 self.nxtfa=list(range(n+2)) self.prefa=list(range(n+2)) def nxt(self,x): t=x;fa=self.nxtfa while fa[x]!=x: x=fa[x] while t!=x: fa[t],t=x,fa[t] return x def pre(self,x): t=x;fa=self.prefa while fa[x]!=x: x=fa[x] while t!=x: fa[t],t=x,fa[t] return x def remove(self,x): self.nxtfa[x]=self.nxt(x+1) self.prefa[x]=self.pre(x-1) n,q=li() a=[0]+li() sl=SortedList(list(range(n+5))) un=chain(n+5) pre=list(accumulate(a)) for _ in range(q): op,l,r=li() st,ed=sl[l],sl[r+1]-1 if op==2: print(pre[ed]-pre[st-1]) else: idx=un.nxt(st+1) while idx<=ed: sl.remove(idx) un.remove(idx) idx=un.nxt(idx+1)