Swust OJ 0002 Prime Path

首相因更换办公室门上的四位数素数号码感到困扰,要求通过改变单个数字保持素数状态且成本最低。财政大臣介入,提出每个数字成本为一英镑,并引入编程竞赛来解决问题。题目描述给出,测试用例包含两组四位数素数,需要找到最小花费的素数路径,且不能重复使用已覆盖的数字。

The ministers of the cabinet were quite upset by the message from the Chief of Security stating that they would all have to change the four-digit room numbers on their offices. 
— It is a matter of security to change such things every now and then, to keep the enemy in the dark. 
— But look, I have chosen my number 1033 for good reasons. I am the Prime minister, you know! 
— I know, so therefore your new number 8179 is also a prime. You will just have to paste four new digits over the four old ones on your office door. 
— No, it’s not that simple. Suppose that I change the first digit to an 8, then the number will read 8033 which is not a prime! 
— I see, being the prime minister you cannot stand having a non-prime number on your door even for a few seconds. 
— Correct! So I must invent a scheme for going from 1033 to 8179 by a path of prime numbers where only one digit is changed from one prime to the next prime. 

Now, the minister of finance, who had been eavesdropping, intervened. 
— No unnecessary expenditure, please! I happen to know that the price of a digit is one pound. 
— Hmm, in that case I need a computer program to minimize the cost. You don't know some very cheap software gurus, do you? 
— In fact, I do. You see, there is this programming contest going on... Help the prime minister to find the cheapest prime path between any two given four-digit primes! The first digit must be nonzero, of course. Here is a solution in the case above.


1033
1733
3733
3739
3779
8779
8179

The cost of this solution is 6 pounds. Note that the digit 1 which got pasted over in step 2 can not be reused in the last step – a new 1 must be purchased.

Description

One line with a positive number: the number of test cases (at most 100). Then for each test case, one line with two numbers separated by a blank. Both numbers are four-digit primes (without leading zeros).

Input

One line for each case, either with a number stating the minimal cost or containing the word Impossible.

Output
1
2
3
4
3
1033 8179
1373 8017
1033 1033
Sample Input

1
2
3
6
7
0
/*
 * 题意:给2个4位素数a,b 
    1. 改变a的一位  得到c 并且保证c也是素数
	2. 改变的c的一位 得到d 并且保证d也是素数..重复以上操作 问最后得到b最短需要几步。

	bfs即可。。并不想多说
	吐槽一下:神奇的Swust OJ  测试数据弱的要死- - 我忘了输出不能到达b的时候 输出Impossible 居然AC了。。我还能说什么。。
*/
#include <iostream>
#include <cstdio>
#include <cstdlib>
#include <cstring>
#include <string>
#include <algorithm>
#include <stack>
#include <cmath>
#include <queue>
using namespace std;
int a, b;
bool vis[10001];
struct Node {
	int val;
	int step;
};
bool isPrime(int n){
	for (int i = 3; i <= sqrt(n); i++) {
		if (n%i == 0)
			return 0;
	}
	return 1;
}
void bfs() {
	memset(vis, 0, sizeof(vis));
	queue<Node>q;
	Node l;
	l.val = a;
	l.step = 0;
	q.push(l);
	vis[a] = 1;
	while (!q.empty()) {
		Node p = q.front();
		q.pop();
		if (p.val == b) {
			cout << p.step << endl;
			break;
		}
		Node l;
		for (int i = 1; i <= 9; i++)
		{
			int c = i * 1000 + (p.val % 1000);
			if (!vis[c] && isPrime(c)) {
				l.val = c;
				l.step = p.step + 1;
				vis[c] = 1;
				q.push(l);
			}
		}
		for (int i = 0; i <= 9; i++)
		{
			int c = i * 100 + p.val % 100 + (p.val/1000)*1000;
			if (!vis[c] && isPrime(c)) {
				l.val = c;
				l.step = p.step + 1;
				vis[c] = 1;
				q.push(l);
			}
		}
		for (int i = 0; i <= 9; i++)
		{
			int c = i * 10 + p.val % 10 + (p.val / 100) * 100;
			if (!vis[c] && isPrime(c)) {
				l.val = c;
				l.step = p.step + 1;
				vis[c] = 1;
				q.push(l);
			}
		}
		for (int i = 1; i <= 9; i+=2)
		{
			int c = i + (p.val / 10) * 10;
			if (!vis[c] && isPrime(c)) {
				l.val = c;
				l.step = p.step + 1;
				vis[c] = 1;
				q.push(l);
			}
		}

	}
	if (q.empty()) {
		cout << "Impossible" << endl;
	}
}
int main(){
	int t;
	cin >> t;
	while (t--) {
		cin >> a >> b;
		bfs();
	}
	return 0;
}



### SWUST OJ Problem 32 Information and Solution Unfortunately, specific details about SWUST OJ problem number 32 are not directly provided in the available references. However, based on similar problems from this platform such as those mentioned in other citations, a general approach to solving typical programming challenges can be outlined. #### Understanding Common Elements of Programming Problems on SWUST OJ Platform Problems like SWUSTOJ276, SWUSTOJ77, SWUSTOJ78, SWUSTOJ1286, and SWUSTOJ1285 emphasize proper use of `if` and `else` statements along with maintaining good coding practices including appropriate formatting[^1]. For instance, when dealing with numerical outputs, `%g` is used for automatic selection between fixed-point notation (`%f`) or scientific notation (`%e`), depending on which provides more compact output without loss of precision. Given that detailed specifics regarding problem 32 aren't present here, one should look at common patterns found across different types of questions posed by platforms like these: - **Input Handling**: Typically involves reading inputs either single values or arrays/lists. - **Logic Implementation**: Applying algorithms ranging from simple arithmetic operations up through complex data structures manipulation. - **Output Formatting**: Ensuring results adhere strictly to specified formats using placeholders like `%d`, `%s`, etc., where applicable. Since no direct reference exists specifically addressing SWUST OJ problem 32 within given sources, consider exploring adjacent numbered problems around it for clues about its nature—whether mathematical computation, string processing, dynamic programming elements, et cetera—and adapt solutions accordingly while keeping best practice guidelines intact. ```c // Example C code snippet demonstrating basic structure often seen in contest-style programs #include <stdio.h> int main() { int n; scanf("%d", &n); // Read input value if (condition_based_on_problem_statement) { printf("Result under condition A\n"); } else { printf("Alternative result\n"); } return 0; } ``` --related questions-- 1. How does understanding how `%g` works help improve program efficiency? 2. What strategies could apply towards optimizing performance in competitive programming contests? 3. Can you provide examples illustrating effective usage of conditional operators (`if`, `else`) in algorithm design?
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