原文链接: http://acm.timus.ru/problem.aspx?space=1&num=1613
统计一数组中的区间中是否出现某一元素.
思路比较简单 不过为了减轻判定的负担, 在写入一行数据
i, j , x
时 可先做个预判
if a[i] == x or a[j] == y ....
这样程序运行时间就少了.
1613. For Fans of Statistics
Time limit: 1.0 second
Memory limit: 64 MB
Memory limit: 64 MB
Have you ever thought about how many people are transported by trams every year in a city with a ten-million population where one in three citizens uses tram twice a day?
Assume that there are
n cities with trams on the planet Earth. Statisticians counted for each of them the number of people transported by trams during last year. They compiled a table, in which cities were sorted alphabetically. Since city names were inessential for statistics, they were later replaced by numbers from 1 to
n. A search engine that works with these data must be able to answer quickly a query of the following type: is there among the cities with numbers from
l to
r such that the trams of this city transported exactly
x people during last year. You must implement this module of the system.
Input
The first line contains the integer
n, 0 <
n < 70000. The second line contains statistic data in the form of a list of integers separated with a space. In this list, the
ith number is the number of people transported by trams of the
ith city during last year. All numbers in the list are positive and do not exceed 10
9 − 1. In the third line, the number of queries
q is given,
0 <
q < 70000.
The next
q lines contain the queries. Each of them is a triple of integers
l,
r, and
x separated with a space;
1 ≤
l ≤
r ≤
n
; 0 <
x < 10
9.
Output
Output a string of length
q in which the
ith symbol is “1” if the answer to the
ith query is affirmative, and “0” otherwise.
Sample
input | output |
---|---|
5 1234567 666666 3141593 666666 4343434 5 1 5 3141593 1 5 578202 2 4 666666 4 4 7135610 1 1 1234567 | 10101 |
Problem Author: Alexander Ipatov
Problem Source: The 12th Urals Collegiate Programing Championship, March 29, 2008
Problem Source: The 12th Urals Collegiate Programing Championship, March 29, 2008
Tags:
data structures