题解 | #矩阵中的路径#
矩阵中的路径
https://www.nowcoder.com/practice/2a49359695a544b8939c77358d29b7e6?tpId=13&tqId=1517966&ru=/exam/oj/ta&qru=/ta/coding-interviews/question-ranking&sourceUrl=%2Fexam%2Foj%2Fta%3Fpage%3D1%26tpId%3D13%26type%3D13
# # 代码中的类名、方法名、参数名已经指定,请勿修改,直接返回方法规定的值即可 # # # @param matrix char字符型二维数组 # @param word string字符串 # @return bool布尔型 # class Solution: def hasPath(self, matrix: list[list[str]], word: str) -> bool: # write code here n = len(matrix) # 计算矩阵的行 m = len(matrix[0]) # 计算矩阵的列 if n==0 or m==0: return False #初始化标记数组,用来记录哪些点被访问过哪些没有 flag = [[False for i in range(m)] for i in range(n)] index = 0 res=False #定义深度搜索函数,进行递归搜索,如果满足条件,就调用递归函数进行下一层的搜索,记得进入递归之前标记一下,返回后再标记回来,别影响下一个方向的递归。递归终止的条件是index的值等于word的长度 def dfs(i, j, matrix,word, index,res): dxy = [[1, 0], [-1, 0], [0, 1], [0, -1]] if index == len(word): return True else: for k in range(4): i = i + dxy[k][0] j = j + dxy[k][1] if 0 <= i < n and 0 <= j < m and( not flag[i][j]): if matrix[i][j] == word[index]: flag[i][j] = True if dfs(i, j, matrix, word,index + 1,res): return True flag[i][j] = False i=i- dxy[k][0] j=j- dxy[k][1] return False for i in range(n): for j in range(m): if matrix[i][j] == word[index]: flag[i][j] = True if dfs(i, j, matrix,word, index+1,res): return True flag[i][j] = False return False