Muammo muallifi: | Hasan Saleh (MathModel) |
Tayyorlagan: | Hasan Saleh (MathModel) |
Tahririy: | Hasan Saleh (MathModel) |
Oddiy yechim - massivdagi barcha subsegmentlar bo'ylab o'tish va ballarni yig'ish, bu esa \mathcal{O}(n^2) yechimni beradi. Biroq, bu juda sekin; biz buni tezroq qilishimiz kerak.
Hisoblashni tezlashtirish uchun, har bir subsegment uchun, u indeksida tugasa, nechtasi ajoyib, nechtasi mukammal va nechtasi oddiy ekanligini hisoblashimiz kerak.
massivning yig'indisi bo'lsin. Biz subsegmentning yig'indisi \frac{s}{2} dan katta yoki kichikligini osonlik bilan aniqlay olamiz; agar katta bo'lsa, ajoyib; agar kichik bo'lsa, oddiy, va agar juft bo'lsa va subsegmentning yig'indisi \frac{s}{2} ga teng bo'lsa, mukammal bo'ladi.
Shunday qilib, har bir indeks uchun prefiks yig'indisini p_i olishimiz kerak va p_i - \frac{s}{2} dan katta, teng yoki kichik bo'lgan segmentlar sonini hisoblashimiz kerak. Buni ko'p usullar bilan amalga oshirish mumkin; bir usul - barcha prefiks yig'indilarini hisoblash va ularni 1-m indekslariga xaritalash, bu yerda - noyob prefiks yig'indilari soni. Keyin biz segment daraxti yoki Fenwick daraxtidan foydalanib, ushbu muammoni hal qilishimiz mumkin. Bu vaqt murakkabligini \mathcal{O}(n \log n) ga olib keladi, bu esa Python yordamida hal qilish uchun etarlicha tez.
import bisect
class fenwick(object):
def __init__(self, n):
self.n = n
self.cul = [0]*n
self.maxd = len(bin(n))-3
def update(self,index,diff):
i = index
while i<self.n:
self.cul[i] += diff
i += (i+1)&(-i-1)
def getaccu(self,index):
output = 0
i = index
while i>=0:
output += self.cul[i]
i -= (i+1)&(-i-1)
return output
def solve():
n = int(input())
arr = list(map(int,input().split()))
tot = sum(arr)
nums = [0]
for num in arr:
nums.append(nums[-1]+num)
nums = sorted(list(set(nums)))
nums = [-float('inf')] + nums
mapping = {}
already = {}
already[0] = 1
for i in range(len(nums)):
mapping[nums[i]] = i
fen = fenwick(len(nums)+1)
fen.update(mapping[0],1)
count = 0
accu = 0
ans = 0
for i,num in enumerate(arr):
accu += num
target = accu + (-tot) // 2
loc = bisect.bisect(nums, target) - 1
good = fen.getaccu(loc)
ans += good * 2
ans -= i + 1 - good
if tot % 2 == 0 and target in already:
ans += already[target]
fen.update(mapping[accu],1)
if accu not in already: already[accu] = 0
already[accu] += 1
print(ans)
for _ in range(int(input())):
solve()