LeetCode No.72 | StriveZs的博客

LeetCode No.72

LeetCode第七十二题—编辑距离

自己代码的开源仓库:click here 欢迎Star和Fork :)

题目描述

给你两个单词 word1 和 word2,请你计算出将 word1 转换成 word2 所使用的最少操作数 。

你可以对一个单词进行如下三种操作:

插入一个字符
删除一个字符
替换一个字符

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示例 1

输入:word1 = "horse", word2 = "ros"
输出:3
解释:
horse -> rorse (将 'h' 替换为 'r')
rorse -> rose (删除 'r')
rose -> ros (删除 'e')
示例 2

输入:word1 = "intention", word2 = "execution"
输出:5
解释:
intention -> inention (删除 't')
inention -> enention (将 'i' 替换为 'e')
enention -> exention (将 'n' 替换为 'x')
exention -> exection (将 'n' 替换为 'c')
exection -> execution (插入 'u')
 

提示:

0 <= word1.length, word2.length <= 500
word1 和 word2 由小写英文字母组成

代码

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class Solution(object):
def minDistance(self, word1, word2):
"""
:type word1: str
:type word2: str
:rtype: int
核心思想:
动态规划
"""
n1, n2 = len(word1), len(word2)
dp = [[0 for _ in range(n2 + 1)] for _ in range(n1 + 1)]

# init boundaries
dp[0] = list(range(n2 + 1))
for i in range(n1 + 1):
dp[i][0] = i

for i in range(1, n1 + 1):
for j in range(1, n2 + 1):
if word1[i - 1] == word2[j - 1]:
dp[i][j] = dp[i - 1][j - 1]
else:
dp[i][j] = min(dp[i - 1][j], dp[i][j - 1], dp[i - 1][j - 1]) + 1

return dp[n1][n2]
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