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【KELM回归预测】基于麻雀算法优化核极限学习SSA-KELM-Adaboost实现风电回归预测附matlab代码

乱世小白 2024-05-31 阅读 28

1. 题目

2. 分析

这题其实非常不错。如果正向解,非常麻烦;因为很难界定哪些O是被包围的?但是如果反向解呢?因为边界的O不会被包围,那么就可以想到跟边界O相连的O都不会被包围。那么除此之外的O都会被包围,题目就解决了。

3. 代码

class Solution:
    def solve(self, board: List[List[str]]) -> None:
        """
        Do not return anything, modify board in-place instead.
        """
        m, n = len(board), len(board[0])
        vis = [[0] * n for i in range(m)]
        
        # 只从边界遍历
        for i in [0,m-1]:
            for j in range(n):
                if board[i][j] == 'O':                
                    self.dfs(i, j, m, n, vis, board)
        for j in [0, n-1]:
            for i in range(m):
                if board[i][j] == 'O':                
                    self.dfs(i, j, m, n, vis, board)

        print(vis)
        for i in range(m):
            for j in range(n):
                if vis[i][j] == 0:
                    board[i][j] = 'X'
            
    def dfs(self, i, j, m, n, vis, board):
        if i>=0 and j>=0 and i<m and j< n:
            if vis[i][j] == 0 and board[i][j] == "O":
                vis[i][j] = 1
                for item in [(i-1,j), (i, j-1), (i+1, j), (i, j+1)]:
                    new_i, new_j = item
                    self.dfs(new_i, new_j, m, n, vis, board)

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