Treasure Hunting 分解质因子

一个热爱数学的宝藏猎人面临一项挑战:找到开启藏宝之门的密码。通过一系列数学运算,特别是对阶乘的理解,来确定打开宝藏之门所需的最小数值。

Treasure Hunting

http://acm.hdu.edu.cn/showproblem.php?pid=3641

Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 32768/32768 K (Java/Others)
Total Submission(s): 616    Accepted Submission(s): 200

Problem Description
Zstu_yhr is a very curious person who fell in love with math when he was in elementary school phase. When he entered the middle school, he learned Multiplication and Power Multiplication. yhr is so ambitious that he not only dreams to be a mathematician but also dreams to be richer than Bill Gates.
One day, he is suddenly encountered with a crazy thought that is to hunt treasure to make one of his dreams a reality. Since yhr is such a strong-willed person that he will never give up as long as his goal has not been achieved. After going through 9*9 challenges, as a reward of god for that hard, he finally discovers an antique hole which is very likely to have a good number of treasures in it. However, as every novel writes, he can never get the treasures so easily. He has to open a coded door at first. He finds that there are 2*N numbers on the door. He speculates that they must be able to generate the password. Disappointedly, there isn’t any clue left for him. He has no better way but to YY. Firstly, he divides these 2*N number into N piles equally. The first pile is composed of a1,b1 and the second pile is composed of a2,b2...certainly, the i-th pile is composed of ai,bi…After completing this task, he calculates a1^b1*a2^b2*a3^b3…*an^bn and gets its result M. He takes M as the password to open the door. What’s a pity, he fails. Then he starts to YY again. Maybe the right password is the minimum number x which satisfies the equation x!%M=0. So he wants to have a try. But he doesn’t know how to get the number so that he has to turn to you for help. Can you help him?

 

 

Input
In the first line is an integer T (1<=T<=50) indicating the number of test cases.
Each test case begins with an integer n (1<=n<=100), then followed n lines. Each line contains two numbers ai and bi (1 <= ai <= 100, 1<=bi<=10000000000000)

 

 

Output
For each test case output the result x in one line.
 

 

Sample Input
  
1 2 3 2 4 1
 

 

Sample Output
  
6
Hint
n! is the factorial of number n: 0!=1 n!=n*(n-1)! (n>=1) a^0=1 (a>=1) a^i=a*(a^i-1) (i>=1)

 

x!%M=0,此题不需要用大数,也不用把M算出来,题目要求的是满足条件的最小的x。

分解M(i)的质因子,得到底数(质数)和指数。  枚举每一对底数和指数  返回一个x,最大的就是条件的值。而x!当然也包括了其它小的底数和指数  说得我也有点乱,举个例子:

1*2*3*4····*x    底数、指数是2 2      3  2   

2 2返回的结果是4       因为1-4里面 2能整除一个2 而4也能整除一个2  因此2个2都整除了。

3 2返回的结果是6       因为1-6里面 3能整除一个3 而6也能整除一个3  因此2个3都整除了。

最后结果就是6

底数、指数是2 2      3  3  返回的结果就是9

底数、指数是2 2      3  4  返回的结果也是9    因为9能整除2个3。。。。

数据集介绍:垃圾分类检测数据集 一、基础信息 数据集名称:垃圾分类检测数据集 图片数量: 训练集:2,817张图片 验证集:621张图片 测试集:317张图片 总计:3,755张图片 分类类别: - 金属:常见的金属垃圾材料。 - 纸板:纸板类垃圾,如包装盒等。 - 塑料:塑料类垃圾,如瓶子、容器等。 标注格式: YOLO格式,包含边界框和类别标签,适用于目标检测任务。 数据格式:图片来源于实际场景,格式为常见图像格式(如JPEG/PNG)。 二、适用场景 智能垃圾回收系统开发: 数据集支持目标检测任务,帮助构建能够自动识别和分类垃圾材料的AI模型,用于自动化废物分类和回收系统。 环境监测与废物管理: 集成至监控系统或机器人中,实时检测垃圾并分类,提升废物处理效率和环保水平。 学术研究与教育: 支持计算机视觉与环保领域的交叉研究,用于教学、实验和论文发表。 三、数据集优势 类别覆盖全面: 包含三种常见垃圾材料类别,覆盖日常生活中主要的可回收物类型,具有实际应用价值。 标注精准可靠: 采用YOLO标注格式,边界框定位精确,类别标签准确,便于模型直接训练和使用。 数据量适中合理: 训练集、验证集和测试集分布均衡,提供足够样本用于模型学习和评估。 任务适配性强: 标注兼容主流深度学习框架(如YOLO等),可直接用于目标检测任务,支持垃圾检测相关应用。
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