B. Inna and Nine

Inna希望通过替换相邻数字为9来最大化数字中9的数量。本文介绍了一种算法,该算法可以确定从给定数字出发,Inna能获得多少种包含最多9的不同数字组合。
B. Inna and Nine
time limit per test
1 second
memory limit per test
256 megabytes
input
standard input
output
standard output

Inna loves digit 9 very much. That's why she asked Dima to write a small number consisting of nines. But Dima must have misunderstood her and he wrote a very large number a, consisting of digits from 1 to 9.

Inna wants to slightly alter the number Dima wrote so that in the end the number contained as many digits nine as possible. In one move, Inna can choose two adjacent digits in a number which sum equals 9 and replace them by a single digit 9.

For instance, Inna can alter number 14545181 like this: 14545181 → 1945181 → 194519 → 19919. Also, she can use this method to transform number 14545181 into number 19991. Inna will not transform it into 149591 as she can get numbers 19919 and19991 which contain more digits nine.

Dima is a programmer so he wants to find out how many distinct numbers containing as many digits nine as possible Inna can get from the written number. Help him with this challenging task.

Input

The first line of the input contains integer a (1 ≤ a ≤ 10100000). Number a doesn't have any zeroes.

Output

In a single line print a single integer — the answer to the problem. It is guaranteed that the answer to the problem doesn't exceed 263 - 1.

Please, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64dspecifier.

Sample test(s)
 
Note

Notes to the samples

In the first sample Inna can get the following numbers: 369727 → 99727 → 9997, 369727 → 99727 → 9979.

In the second sample, Inna can act like this: 123456789987654321 → 12396789987654321 → 1239678998769321.

// 意外的过了(>_<)
#include<iostream> #include<cstring> #include<cstdio> #include<algorithm> #include<vector> #include<cmath> #include<set> #define maxn 1000010 #define LL long long using namespace std; char a[maxn] ; LL ans[maxn/3], ff[220]; int main() { int n , m , i , j ; int tt ,len ; LL hh ; // freopen("in.txt","r",stdin) ; while( scanf("%s" , a ) != EOF ) { n = strlen(a) ; tt = 1 ; len = 0 ; a[n] = 'y' ; a[n+1] = '\0' ; for( i = 1 ; i <= n ;i++ ) { if( (int)a[i]+a[i-1]-'0'-'0'== 9 )tt++ ; else { //tt = (tt&1)+tt/2 ; // cout << tt << " " ; if((tt&1) && tt >= 3) ans[len++] = tt/2+1 ; tt = 1 ; } } hh = 1 ; for( i = 0 ; i < len ;i++ ) hh *= ans[i] ; cout << hh << endl ; } return 0 ; }

 

转载于:https://www.cnblogs.com/20120125llcai/p/3481790.html

内容概要:本文提出了一种基于融合鱼鹰算法和柯西变异的改进麻雀优化算法(OCSSA),用于优化变分模态分解(VMD)的参数,进而结合卷积神经网络(CNN)与双向长短期记忆网络(BiLSTM)构建OCSSA-VMD-CNN-BILSTM模型,实现对轴承故障的高【轴承故障诊断】基于融合鱼鹰和柯西变异的麻雀优化算法OCSSA-VMD-CNN-BILSTM轴承诊断研究【西储大学数据】(Matlab代码实现)精度诊断。研究采用西储大学公开的轴承故障数据集进行实验验证,通过优化VMD的模态数和惩罚因子,有效提升了信号分解的准确性与稳定性,随后利用CNN提取故障特征,BiLSTM捕捉时间序列的深层依赖关系,最终实现故障类型的智能识别。该方法在提升故障诊断精度与鲁棒性方面表现出优越性能。; 适合人群:具备一定信号处理、机器学习基础,从事机械故障诊断、智能运维、工业大数据分析等相关领域的研究生、科研人员及工程技术人员。; 使用场景及目标:①解决传统VMD参数依赖人工经验选取的问题,实现参数自适应优化;②提升复杂工况下滚动轴承早期故障的识别准确率;③为智能制造与预测性维护提供可靠的技术支持。; 阅读建议:建议读者结合Matlab代码实现过程,深入理解OCSSA优化机制、VMD信号分解流程以及CNN-BiLSTM网络架构的设计逻辑,重点关注参数优化与故障分类的联动关系,并可通过更换数据集进一步验证模型泛化能力。
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