[leetcode] 1143. Longest Common Subsequence _ Algorithm Problem Solve for python



1. Problem

1143. Longest Common Subsequence

Given two strings text1 and text2, return the length of their longest common subsequence. If there is no common subsequence, return 0.

A subsequence of a string is a new string generated from the original string with some characters (can be none) deleted without changing the relative order of the remaining characters.

  • For example, “ace” is a subsequence of “abcde”.

A common subsequence of two strings is a subsequence that is common to both strings.

Example 1:

Input: text1 = "abcde", text2 = "ace" 
Output: 3  
Explanation: The longest common subsequence is "ace" and its length is 3.

Example 2:

Input: text1 = "abc", text2 = "abc"
Output: 3
Explanation: The longest common subsequence is "abc" and its length is 3.

Example 3:

Input: text1 = "abc", text2 = "def"
Output: 0
Explanation: There is no such common subsequence, so the result is 0.

Constraints:

  • 1 <= text1.length, text2.length <= 1000
  • text1 and text2 consist of only lowercase English characters.

2. Solution

I solved this problem like this.

2.1. DP

If we use dp, we can solve this problem.

class Solution:
    def longestCommonSubsequence(self, text1: str, text2: str) -> int:
        t1, t2 = len(text1), len(text2)
        dp = [[0 for x in range(t2)] for _ in range(t1)]

        for r in range(t1):
            for c in range(t2):
                left = dp[r][c-1] if c  > 0 else 0
                up = dp[r-1][c] if r > 0 else 0
                left_up = dp[r-1][c-1] if c > 0 and r > 0 else 0
                
                if text1[r] == text2[c]:
                    dp[r][c] = left_up + 1 
                else:
                    dp[r][c] = max(left, up)
                
        return dp[-1][-1]