from typing import List, Tuple, Callable, TypeVar, Optional import sys import itertools import heapq import bisect import math from collections import deque, defaultdict from functools import lru_cache, cmp_to_key input = sys.stdin.readline if __file__ != 'prog.py': sys.setrecursionlimit(10 ** 6) def readints(): return map(int, input().split()) def readlist(): return list(readints()) def readstr(): return input()[:-1] def readlist1(): return list(map(lambda x: int(x) - 1, input().split())) class BitVector: # reference: https://tiramister.net/blog/posts/bitvector/ # (reference implemention is succinct, but this implemention is not succinct.) def __init__(self, N): self.N = N self.block_num = (N + 31) >> 5 self.bit = [0] * self.block_num self.sum = [0] * self.block_num self.built = False def set(self, pos): self.bit[pos >> 5] |= 1 << (pos & 31) def build(self): assert not self.built for i in range(1, self.block_num): self.sum[i] = self.sum[i - 1] + self.popcount(self.bit[i - 1]) self.built = True def access(self, pos): """return pos-th bit""" return self.bit[pos >> 5] >> (pos & 31) & 1 def rank(self, pos): """count 1's in [0, pos) range""" assert self.built i = pos >> 5 offset = pos & 31 return self.sum[i] + self.popcount(self.bit[i] & ((1 << offset) - 1)) def select(self, num): """return minimum i that satisfies rank(i) = num""" assert self.built if num == 0: return 0 if self.rank(self.N) < num: return -1 l = -1 r = self.N while r - l > 1: c = (l + r) >> 1 if self.rank(c) >= num: r = c else: l = c return r def popcount(self, n): c = (n & 0x5555555555555555) + ((n >> 1) & 0x5555555555555555) c = (c & 0x3333333333333333) + ((c >> 2) & 0x3333333333333333) c = (c & 0x0f0f0f0f0f0f0f0f) + ((c >> 4) & 0x0f0f0f0f0f0f0f0f) c = (c & 0x00ff00ff00ff00ff) + ((c >> 8) & 0x00ff00ff00ff00ff) c = (c & 0x0000ffff0000ffff) + ((c >> 16) & 0x0000ffff0000ffff) return c class WaveletMatrix: # reference: https://miti-7.hatenablog.com/entry/2018/04/28/152259 def __init__(self, A): self.nums = sorted(set(A)) self.idx = {a: i for i, a in enumerate(self.nums)} self.A = [self.idx[a] for a in A] self.digit = (len(self.nums) - 1).bit_length() self.B = [None] * self.digit self.offset = [None] * self.digit self.start_index = {} T = self.A for k in range(self.digit)[::-1]: self.B[k] = BitVector(len(T) + 1) zeros = [] ones = [] for i, a in enumerate(T): if a >> k & 1: self.B[k].set(i) ones.append(a) else: zeros.append(a) self.B[k].build() self.offset[k] = len(zeros) T = zeros + ones for i, a in enumerate(T): self.start_index.setdefault(a, i) def access(self, i): """return i-th value""" ret = 0 cur = i for k in range(self.digit)[::-1]: if self.B[k].access(cur): ret |= (1 << k) cur = self.B[k].rank(cur) + self.offset[k] else: cur -= self.B[k].rank(cur) return self.nums[ret] def rank(self, i, x): """return the number of x's in [0, i) range""" x = self.idx.get(x) if x is None: return 0 for k in range(self.digit)[::-1]: if x >> k & 1: i = self.B[k].rank(i) + self.offset[k] else: i -= self.B[k].rank(i) return i - self.start_index[x] def range_freq(self, l, r, x): """return the number of x's in [l, r) range""" return self.rank(r, x) - self.rank(l, x) def quantile(self, l, r, n): """return n-th (0-indexed) smallest value in [l, r) range""" assert 0 <= n < r - l ret = 0 for k in range(self.digit)[::-1]: rank_l = self.B[k].rank(l) rank_r = self.B[k].rank(r) ones = rank_r - rank_l zeros = r - l - ones if zeros <= n: ret |= 1 << k l = rank_l + self.offset[k] r = rank_r + self.offset[k] n -= zeros else: l -= rank_l r -= rank_r return self.nums[ret] class BIT: def __init__(self, N): self.N = N self.A = [0] * (N + 1) def add(self, i, x): """add x to i-th element (0-indexed)""" assert 0 <= i < self.N i += 1 while i <= self.N: self.A[i] += x i += i & -i def sum(self, i): """return sum(A[:i])""" assert 0 <= i <= self.N s = 0 while i > 0: s += self.A[i] i -= i & -i return s def range_sum(self, l, r): """return sum(A[l:r])""" return self.sum(r) - self.sum(l) N, Q = readints() A = readlist() WM = WaveletMatrix(A) query = [tuple(readints()) for _ in range(Q)] ans = [0] * Q task = defaultdict(list) for i in range(Q): l, r = query[i] l -= 1 median = WM.quantile(l, r, (r - l) // 2) task[median].append((i, l, r)) idx = defaultdict(list) bit = BIT(N) bit2 = BIT(N) for i, a in enumerate(A): idx[a].append(i) nums = sorted(idx) for k in nums: for i, l, r in task[k]: ans[i] += k * bit2.range_sum(l, r) - bit.range_sum(l, r) for i in idx[k]: bit.add(i, k) bit2.add(i, 1) bit = BIT(N) bit2 = BIT(N) for k in nums[::-1]: for i, l, r in task[k]: ans[i] += bit.range_sum(l, r) - k * bit2.range_sum(l, r) for i in idx[k]: bit.add(i, k) bit2.add(i, 1) print(*ans, sep='\n')