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Merge pull request #2777 from Jasonyou-boy/feature/nextString
feat(图论): 字符串接龙 Java优化版 并修复 beginStr==endStr 边界条件
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@ -277,7 +277,7 @@ ACM格式大家在输出结果的时候,要关注看看格式问题,特别
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有录友可能会想,ACM格式就是麻烦,有空格没有空格有什么影响,结果对了不就行了?
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ACM模式相对于核心代码模式(力扣) 更考验大家对代码的掌控能力。 例如工程代码里,输出输出都是要自己控制的。这也是为什么大公司笔试,都是ACM模式。
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ACM模式相对于核心代码模式(力扣) 更考验大家对代码的掌控能力。 例如工程代码里,输入输出都是要自己控制的。这也是为什么大公司笔试,都是ACM模式。
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以上代码中,结果都存在了 result数组里(二维数组,每一行是一个结果),最后将其打印出来。(重点看注释)
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@ -222,121 +222,127 @@ public:
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## 其他语言版本
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### Java
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DFS
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### Java
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```java
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//这里的实现为主函数处理每个岛屿的第一块陆地 方式
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//所以是主函数直接置count为1,剩余的交给dfs来做。
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import java.util.*;
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import java.math.*;
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/**
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* DFS版
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*/
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public class Main{
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static int[][] dir = {{0,-1}, {1,0}, {0,1}, {-1, 0}};//四个方向
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static int count = 0;
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public static void dfs(boolean[][] visited, int x, int y, int[][] grid){
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for(int i = 0; i < 4; i++){
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int nextX = x + dir[i][0];
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int nextY = y + dir[i][1];
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if(nextX < 0 || nextY < 0 || nextY >= grid[0].length || nextX >= grid.length){
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continue;
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}
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if(!visited[nextX][nextY] && grid[nextX][nextY] == 1){
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count++;
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visited[nextX][nextY] = true;
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dfs(visited, nextX, nextY, grid);
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}
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}
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}
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static final int[][] dir={{0,1},{1,0},{0,-1},{-1,0}};
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static int result=0;
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static int count=0;
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public static void main(String[] args){
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Scanner in = new Scanner(System.in);
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int n = in.nextInt();
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int m = in.nextInt();
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int[][] grid = new int[n][m];
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for(int i = 0; i < n; i++){
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for(int j = 0; j < m; j++){
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grid[i][j] = in.nextInt();
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Scanner scanner = new Scanner(System.in);
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int n = scanner.nextInt();
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int m = scanner.nextInt();
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int[][] map = new int[n][m];
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for (int i = 0; i < n; i++) {
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for (int j = 0; j < m; j++) {
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map[i][j]=scanner.nextInt();
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}
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}
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int result = 0;
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boolean[][] visited = new boolean[n][m];
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for(int i = 0; i < n; i++){
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for(int j = 0; j < m; j++){
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if(!visited[i][j] && grid[i][j] == 1){
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visited[i][j] = true;
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count = 1;
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dfs(visited, i, j, grid);
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//dfs遍历完了一座岛屿,就比较count和result,保留最大的
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result = Math.max(result, count);
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for (int i = 0; i < n; i++) {
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for (int j = 0; j < m; j++) {
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if(!visited[i][j]&&map[i][j]==1){
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count=0;
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dfs(map,visited,i,j);
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result= Math.max(count, result);
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}
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}
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}
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System.out.println(result);
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}
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}
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```
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BFS
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```java
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import java.util.*;
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public class Main{
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static int[][] dir = {{0,-1}, {1,0}, {0,1}, {-1, 0}};//下右上左的顺序
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static int count = 0;
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public static void bfs(boolean[][] visited, int x, int y, int[][] grid){
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Queue<pair> queue = new LinkedList<pair>();
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queue.add(new pair(x,y));
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count = 1; //该岛屿的第一块陆地被visit了
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//对这个岛屿的所有都入队,除非上下左右都没有未访问的陆地
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while(!queue.isEmpty()){
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int curX = queue.peek().x;
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int curY = queue.poll().y;
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//对每块陆地都进行上下左右的入队和计算(遍历),自然就是按广度优先了
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for(int i = 0; i < 4; i++){
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int nextX = curX + dir[i][0];
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int nextY = curY + dir[i][1];
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if(nextX < 0 || nextY < 0 || nextX >= grid.length || nextY >= grid[0].length){
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continue;
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}
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if(!visited[nextX][nextY] && grid[nextX][nextY] == 1){
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count++;
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queue.add(new pair(nextX, nextY));
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visited[nextX][nextY] = true;
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static void dfs(int[][] map,boolean[][] visited,int x,int y){
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count++;
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visited[x][y]=true;
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for (int i = 0; i < 4; i++) {
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int nextX=x+dir[i][0];
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int nextY=y+dir[i][1];
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//水或者已经访问过的跳过
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if(nextX<0||nextY<0
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||nextX>=map.length||nextY>=map[0].length
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||visited[nextX][nextY]||map[nextX][nextY]==0)continue;
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dfs(map,visited,nextX,nextY);
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}
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}
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}
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}
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static class pair{
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}
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```
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```java
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import java.util.*;
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import java.math.*;
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/**
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* BFS版
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*/
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public class Main {
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static class Node {
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int x;
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int y;
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pair(int x, int y){
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public Node(int x, int y) {
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this.x = x;
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this.y = y;
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}
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}
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public static void main(String[] args){
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Scanner in = new Scanner(System.in);
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int n = in.nextInt();
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int m = in.nextInt();
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int[][] grid = new int[n][m];
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for(int i = 0; i < n; i++){
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for(int j = 0; j < m; j++){
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grid[i][j] = in.nextInt();
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static final int[][] dir = {{0, 1}, {1, 0}, {0, -1}, {-1, 0}};
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static int result = 0;
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static int count = 0;
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public static void main(String[] args) {
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Scanner scanner = new Scanner(System.in);
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int n = scanner.nextInt();
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int m = scanner.nextInt();
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int[][] map = new int[n][m];
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for (int i = 0; i < n; i++) {
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for (int j = 0; j < m; j++) {
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map[i][j] = scanner.nextInt();
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}
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}
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int result = 0;
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boolean[][] visited = new boolean[n][m];
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for(int i = 0; i < n; i++){
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for(int j = 0; j < m; j++){
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if(!visited[i][j] && grid[i][j] == 1){
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visited[i][j] = true;
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bfs(visited, i, j, grid);
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result = Math.max(result, count);
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for (int i = 0; i < n; i++) {
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for (int j = 0; j < m; j++) {
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if (!visited[i][j] && map[i][j] == 1) {
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count = 0;
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bfs(map, visited, i, j);
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result = Math.max(count, result);
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}
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}
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}
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System.out.println(result);
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}
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static void bfs(int[][] map, boolean[][] visited, int x, int y) {
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Queue<Node> q = new LinkedList<>();
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q.add(new Node(x, y));
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visited[x][y] = true;
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count++;
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while (!q.isEmpty()) {
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Node node = q.remove();
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for (int i = 0; i < 4; i++) {
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int nextX = node.x + dir[i][0];
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int nextY = node.y + dir[i][1];
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if (nextX < 0 || nextY < 0 || nextX >= map.length || nextY >= map[0].length || visited[nextX][nextY] || map[nextX][nextY] == 0)
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continue;
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q.add(new Node(nextX, nextY));
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visited[nextX][nextY] = true;
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count++;
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}
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}
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}
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}
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```
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### Python
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@ -152,66 +152,70 @@ int main() {
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## 其他语言版本
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### Java
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### Java
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```Java
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import java.util.*;
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public class Main {
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// BFS方法
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public static int ladderLength(String beginWord, String endWord, List<String> wordList) {
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// 使用set作为查询容器,效率更高
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HashSet<String> set = new HashSet<>(wordList);
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// 声明一个queue存储每次变更一个字符得到的且存在于容器中的新字符串
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Queue<String> queue = new LinkedList<>();
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// 声明一个hashMap存储遍历到的字符串以及所走过的路径path
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HashMap<String, Integer> visitMap = new HashMap<>();
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queue.offer(beginWord);
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visitMap.put(beginWord, 1);
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while (!queue.isEmpty()) {
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String curWord = queue.poll();
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int path = visitMap.get(curWord);
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public static void main(String[] args) {
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Scanner scanner = new Scanner(System.in);
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int n = scanner.nextInt();
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scanner.nextLine();
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String beginStr = scanner.next();
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String endStr = scanner.next();
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scanner.nextLine();
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List<String> wordList = new ArrayList<>();
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wordList.add(beginStr);
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wordList.add(endStr);
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for (int i = 0; i < n; i++) {
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wordList.add(scanner.nextLine());
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}
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int count = bfs(beginStr, endStr, wordList);
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System.out.println(count);
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}
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for (int i = 0; i < curWord.length(); i++) {
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char[] ch = curWord.toCharArray();
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// 每个位置尝试26个字母
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for (char k = 'a'; k <= 'z'; k++) {
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ch[i] = k;
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String newWord = new String(ch);
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if (newWord.equals(endWord)) return path + 1;
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// 如果这个新字符串存在于容器且之前未被访问到
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if (set.contains(newWord) && !visitMap.containsKey(newWord)) {
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visitMap.put(newWord, path + 1);
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queue.offer(newWord);
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/**
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* 广度优先搜索-寻找最短路径
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*/
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public static int bfs(String beginStr, String endStr, List<String> wordList) {
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int len = 1;
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Set<String> set = new HashSet<>(wordList);
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Set<String> visited = new HashSet<>();
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Queue<String> q = new LinkedList<>();
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visited.add(beginStr);
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q.add(beginStr);
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q.add(null);
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while (!q.isEmpty()) {
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String node = q.remove();
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//上一层结束,若下一层还有节点进入下一层
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if (node == null) {
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if (!q.isEmpty()) {
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len++;
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q.add(null);
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}
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continue;
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}
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char[] charArray = node.toCharArray();
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//寻找邻接节点
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for (int i = 0; i < charArray.length; i++) {
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//记录旧值,用于回滚修改
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char old = charArray[i];
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for (char j = 'a'; j <= 'z'; j++) {
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charArray[i] = j;
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String newWord = new String(charArray);
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if (set.contains(newWord) && !visited.contains(newWord)) {
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q.add(newWord);
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visited.add(newWord);
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//找到结尾
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if (newWord.equals(endStr)) return len + 1;
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}
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}
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charArray[i] = old;
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}
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}
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return 0;
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}
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public static void main (String[] args) {
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/* code */
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// 接收输入
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Scanner sc = new Scanner(System.in);
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int N = sc.nextInt();
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sc.nextLine();
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String[] strs = sc.nextLine().split(" ");
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List<String> wordList = new ArrayList<>();
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for (int i = 0; i < N; i++) {
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wordList.add(sc.nextLine());
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}
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// wordList.add(strs[1]);
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// 打印结果
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int result = ladderLength(strs[0], strs[1], wordList);
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System.out.println(result);
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}
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}
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```
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