#72 Edit Distance——Top 100 Liked Questions
Given two words word1 and word2, find the minimum number of operations required to convert word1 to word2.
You have the following 3 operations permitted on a word:
- Insert a character
- Delete a character
- Replace a character
Example 1:
Input: word1 = "horse", word2 = "ros"
Output: 3
Explanation:
horse -> rorse (replace 'h' with 'r')
rorse -> rose (remove 'r')
rose -> ros (remove 'e')
Example 2:
Input: word1 = "intention", word2 = "execution"
Output: 5
Explanation:
intention -> inention (remove 't')
inention -> enention (replace 'i' with 'e')
enention -> exention (replace 'n' with 'x')
exention -> exection (replace 'n' with 'c')
exection -> execution (insert 'u')
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第一次:动态规划,分插入:d[i-1][j]+1,删除:d[i][j-1]+1,替换:d[i-1][j-1] + (word1[i-1] != word2[i-1])三种情况
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class Solution(object):
def minDistance(self, word1, word2):
"""
:type word1: str
:type word2: str
:rtype: int
"""
m = len(word1)
n = len(word2)
if m == 0:
return n
if n == 0:
return m
dp = [[0 for i in range(n + 1)] for j in range(m + 1)]
for i in range(m + 1):
dp[i][0] = i
for j in range(n + 1):
dp[0][j] = j
for i in range(1, m + 1):
for j in range(1, n + 1):
dp[i][j] = min(dp[i - 1][j] + 1, dp[i][j - 1] + 1, dp[i - 1][j - 1] + (word1[i - 1] != word2[j - 1]))
return dp[m][n]
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Runtime: 164 ms, faster than 57.95% of Python online submissions for Edit Distance.
Memory Usage: 14.9 MB, less than 53.46% of Python online submissions for Edit Distance.
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