505. The Maze II

本文介绍了一种求解球从起点到终点穿越迷宫的最短路径算法。该算法考虑了球滚动直到撞墙才会停止的特点,并通过广度优先搜索来确定最短路径。文章提供了具体的例子和实现代码。

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There is a ball in a maze with empty spaces and walls. The ball can go through empty spaces by rolling updownleft or right, but it won't stop rolling until hitting a wall. When the ball stops, it could choose the next direction.

Given the ball's start position, the destination and the maze, find the shortest distance for the ball to stop at the destination. The distance is defined by the number of empty spaces traveled by the ball from the start position (excluded) to the destination (included). If the ball cannot stop at the destination, return -1.

The maze is represented by a binary 2D array. 1 means the wall and 0 means the empty space. You may assume that the borders of the maze are all walls. The start and destination coordinates are represented by row and column indexes.

Example 1

Input 1: a maze represented by a 2D array

0 0 1 0 0
0 0 0 0 0
0 0 0 1 0
1 1 0 1 1
0 0 0 0 0

Input 2: start coordinate (rowStart, colStart) = (0, 4)
Input 3: destination coordinate (rowDest, colDest) = (4, 4)

Output: 12
Explanation: One shortest way is : left -> down -> left -> down -> right -> down -> right.
             The total distance is 1 + 1 + 3 + 1 + 2 + 2 + 2 = 12.

Example 2

Input 1: a maze represented by a 2D array

0 0 1 0 0
0 0 0 0 0
0 0 0 1 0
1 1 0 1 1
0 0 0 0 0

Input 2: start coordinate (rowStart, colStart) = (0, 4)
Input 3: destination coordinate (rowDest, colDest) = (3, 2)

Output: -1
Explanation: There is no way for the ball to stop at the destination.

Note:

  1. There is only one ball and one destination in the maze.
  2. Both the ball and the destination exist on an empty space, and they will not be at the same position initially.
  3. The given maze does not contain border (like the red rectangle in the example pictures), but you could assume the border of the maze are all walls.
  4. The maze contains at least 2 empty spaces, and both the width and height of the maze won't exceed 100.
类似于 490. The Maze,需要加一些限制条件避免不必要的遍历:当len>length[destination[0]][destination[1]]时,继续下一轮循环;当len<length[x][y]时,更新length[x][y]为len,同时offer进当前点。代码如下:

public class Solution {
    class Point {
        int x;
        int y;
        int l;
        public Point(int _x, int _y, int _l) {
            x = _x; y = _y; l = _l;
        }
    }
    public int shortestDistance(int[][] maze, int[] start, int[] destination) {
        int m = maze.length;
        int n = maze[0].length;
        int[][] length = new int[m][n];
        for (int i = 0; i < m; i ++) {
            Arrays.fill(length[i], Integer.MAX_VALUE);
        }
        Queue<Point> queue = new LinkedList<Point>();
        queue.offer(new Point(start[0], start[1], 0));
        int[][] dirs = new int[][]{{0,1},{0,-1},{1,0},{-1,0}};
        while (!queue.isEmpty()) {
            Point p = queue.poll();
            for (int[] dir: dirs) {
                int xx = p.x, yy = p.y, ll = p.l;
                while (xx >= 0 && yy >= 0 && xx < m && yy < n && maze[xx][yy] == 0) {
                    xx += dir[0];
                    yy += dir[1];
                    ll ++;
                }
                xx -= dir[0];
                yy -= dir[1];
                ll --;
                if (ll > length[destination[0]][destination[1]]) {
                    continue;
                }
                if (ll < length[xx][yy]) {
                    length[xx][yy] = ll;
                    queue.offer(new Point(xx, yy, ll));
                }
            }
        }
        return length[destination[0]][destination[1]] == Integer.MAX_VALUE? -1: length[destination[0]][destination[1]];
    }
}

好的,下面是 `freegames.maze` 模块的详细注释: ```python """ freegames.maze This module provides functions to create and manipulate mazes. Functions: maze(width, height, complexity=0.75, density=0.75): Create a maze with the given dimensions and complexity/density. Classes: Maze: A maze object that can be displayed and solved using Turtle graphics. """ import random def maze(width, height, complexity=0.75, density=0.75): """ Create a maze with the given dimensions and complexity/density. Parameters: - width (int): the width of the maze in cells. - height (int): the height of the maze in cells. - complexity (float): a value between 0 and 1 that determines the amount of complexity/number of twists and turns in the maze. - density (float): a value between 0 and 1 that determines the amount of density/number of cells that are filled in the maze. Returns: - A 2D list of booleans representing the maze, where True indicates a wall and False indicates a path. """ # Determine the dimensions of the maze in cells. rows = height // 2 + 1 cols = width // 2 + 1 # Create the maze as a 2D list of booleans. maze = [[False] * cols for i in range(rows)] # Fill in the border cells as walls. for i in range(rows): maze[i][0] = maze[i][-1] = True for j in range(cols): maze[0][j] = maze[-1][j] = True # Fill in the maze with walls and paths. for i in range(1, rows - 1): for j in range(1, cols - 1): if random.random() < density: maze[i][j] = True elif i % 2 == 0 or j % 2 == 0: maze[i][j] = True # Carve out the maze starting from the center. start_x, start_y = rows // 2, cols // 2 maze[start_x][start_y] = False cells = [(start_x, start_y)] while cells: current = cells.pop(random.randint(0, len(cells) - 1)) x, y = current neighbors = [] if x > 1 and not maze[x - 2][y]: neighbors.append((x - 2, y)) if x < rows - 2 and not maze[x + 2][y]: neighbors.append((x + 2, y)) if y > 1 and not maze[x][y - 2]: neighbors.append((x, y - 2)) if y < cols - 2 and not maze[x][y + 2]: neighbors.append((x, y + 2)) if neighbors: cells.append(current) neighbor = neighbors[random.randint(0, len(neighbors) - 1)] nx, ny = neighbor if nx == x - 2: maze[x - 1][y] = False elif nx == x + 2: maze[x + 1][y] = False elif ny == y - 2: maze[x][y - 1] = False elif ny == y + 2: maze[x][y + 1] = False maze[nx][ny] = False return maze class Maze: """ A maze object that can be displayed and solved using Turtle graphics. Attributes: - maze (list): a 2D list of booleans representing the maze. - width (int): the width of the maze in cells. - height (int): the height of the maze in cells. - cell_size (int): the size of each cell in pixels. - turtle (turtle.Turtle): the turtle used to draw the maze. - screen (turtle.Screen): the screen used to display the maze. Methods: - __init__(self, maze, cell_size=10): create a new Maze object. - _draw_wall(self, row, col): draw a wall at the given cell. - _draw_path(self, row, col): draw a path at the given cell. - display(self): display the maze using Turtle graphics. - solve(self, start=(0, 0), end=None): solve the maze using the given start and end positions, and return a list of (row, col) tuples representing the solution path. """ def __init__(self, maze, cell_size=10): """ Create a new Maze object. Parameters: - maze (list): a 2D list of booleans representing the maze. - cell_size (int): the size of each cell in pixels. """ self.maze = maze self.width = len(maze[0]) self.height = len(maze) self.cell_size = cell_size self.turtle = None self.screen = None def _draw_wall(self, row, col): """ Draw a wall at the given cell. Parameters: - row (int): the row number of the cell. - col (int): the column number of the cell. """ x = col * self.cell_size y = row * self.cell_size self.turtle.goto(x, y) self.turtle.setheading(0) self.turtle.pendown() for i in range(4): self.turtle.forward(self.cell_size) self.turtle.left(90) self.turtle.penup() def _draw_path(self, row, col): """ Draw a path at the given cell. Parameters: - row (int): the row number of the cell. - col (int): the column number of the cell. """ x = col * self.cell_size + self.cell_size // 2 y = row * self.cell_size + self.cell_size // 2 self.turtle.goto(x, y) self.turtle.dot(self.cell_size // 2) def display(self): """ Display the maze using Turtle graphics. """ if not self.turtle: import turtle self.turtle = turtle.Turtle() self.turtle.hideturtle() self.turtle.speed(0) self.turtle.penup() self.turtle.setheading(0) self.turtle.goto(0, 0) self.turtle.pendown() self.turtle.color('black') self.screen = self.turtle.getscreen() self.screen.setworldcoordinates(0, 0, self.width * self.cell_size, self.height * self.cell_size) for row in range(self.height): for col in range(self.width): if self.maze[row][col]: self._draw_wall(row, col) else: self._draw_path(row, col) self.screen.exitonclick() def solve(self, start=(0, 0), end=None): """ Solve the maze using the given start and end positions, and return a list of (row, col) tuples representing the solution path. Parameters: - start (tuple): a (row, col) tuple representing the starting position. Defaults to (0, 0). - end (tuple): a (row, col) tuple representing the ending position. Defaults to the bottom-right corner of the maze. Returns: - A list of (row, col) tuples representing the solution path. """ if not end: end = (self.height - 1, self.width - 1) queue = [(start, [start])] visited = set() while queue: (row, col), path = queue.pop(0) if (row, col) == end: return path if (row, col) in visited: continue visited.add((row, col)) if row > 0 and not self.maze[row - 1][col]: queue.append(((row - 1, col), path + [(row - 1, col)])) if row < self.height - 1 and not self.maze[row + 1][col]: queue.append(((row + 1, col), path + [(row + 1, col)])) if col > 0 and not self.maze[row][col - 1]: queue.append(((row, col - 1), path + [(row, col - 1)])) if col < self.width - 1 and not self.maze[row][col + 1]: queue.append(((row, col + 1), path + [(row, col + 1)])) return None ``` 以上就是 `freegames.maze` 模块的详细注释,希望能帮助你更好地理解它的实现和使用。
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