• Leetcode 10 regular expression matching (正则表达式匹配) (动态规划)


    Leetcode 10

    问题描述

    Given an input string (s) and a pattern (p), implement regular expression matching with support for '.' and '*'.
    
    '.' Matches any single character.
    '*' Matches zero or more of the preceding element.
    The matching should cover the entire input string (not partial).
    
    Note:
    s could be empty and contains only lowercase letters a-z.
    p could be empty and contains only lowercase letters a-z, and characters like . or *.
    

    例子

    Example 1:
    Input:
    s = "aa"
    p = "a"
    Output: false
    Explanation: "a" does not match the entire string "aa".
    
    Example 2:
    Input:
    s = "aa"
    p = "a*"
    Output: true
    Explanation: '*' means zero or more of the preceding element, 'a'. Therefore, by repeating 'a' once, it becomes "aa".
    
    Example 3:
    Input:
    s = "ab"
    p = ".*"
    Output: true
    Explanation: ".*" means "zero or more (*) of any character (.)".
    
    Example 4:
    Input:
    s = "aab"
    p = "c*a*b"
    Output: true
    Explanation: c can be repeated 0 times, a can be repeated 1 time. Therefore, it matches "aab".
    
    Example 5:
    Input:
    s = "mississippi"
    p = "mis*is*p*."
    Output: false
    

    方法

    1, If p.charAt(j) == s.charAt(i) :  dp[i][j] = dp[i-1][j-1];
    2, If p.charAt(j) == '.' : dp[i][j] = dp[i-1][j-1];
    3, If p.charAt(j) == '*': 
       here are two sub conditions:
                   1   if p.charAt(j-1) != s.charAt(i) : dp[i][j] = dp[i][j-2]  //in this case, a* only counts as empty
                   2   if p.charAt(i-1) == s.charAt(i) or p.charAt(i-1) == '.':
                                  dp[i][j] = dp[i-1][j]    //in this case, a* counts as multiple a 
                               or dp[i][j] = dp[i][j-1]   // in this case, a* counts as single a
                               or dp[i][j] = dp[i][j-2]   // in this case, a* counts as empty
    
    ** Solution **
    ** Java **
    ** 4ms, beats 54.06% **
    ** 38.5MB, beats 45.45% **
    class Solution {
        public boolean isMatch(String s, String p) {
            if (s == null || p == null) 
                return false;
    
            boolean[][] dp = new boolean[s.length() + 1][p.length() + 1];
            dp[0][0] = true;
            for (int i = 1; i < p.length() + 1; i++) 
                if (p.charAt(i - 1) == '*' && dp[0][i - 2]) 
                    dp[0][i] = true;
            
            for (int i = 1; i < s.length() + 1; ++i) {
                for (int j = 1; j < p.length() + 1; ++j) {
                    if (p.charAt(j - 1) == '.' || p.charAt(j - 1) == s.charAt(i - 1))
                        dp[i][j] = dp[i - 1][j - 1];
                    else if (p.charAt(j - 1) == '*') {
                        if (p.charAt(j - 2) != s.charAt(i - 1) && p.charAt(j - 2) != '.')
                            dp[i][j] = dp[i][j - 2];
                        else
                            dp[i][j] = dp[i][j - 2] || dp[i][j - 1] || dp[i - 1][j];
                    } 
                }
            }
            return dp[s.length()][p.length()];
        }
    }
    
    ** Solution Python3 **
    ** 64ms, beats 42.89% **
    ** 12.8MB, beats 100.00% **
    class Solution:
        def isMatch(self, s: str, p: str) -> bool:
            if (s == None or p == None) :
                return False
            dp = [[False for _ in range(len(p) + 1)] for _ in range(len(s) + 1)]
            dp[0][0] = True
            for i in range(1, len(p) + 1) :
                if (p[i - 1] == '*' and dp[0][i - 2]) :
                    dp[0][i] = True
            for i in range(1, len(s) + 1) :
                for j in range(1, len(p) + 1) :
                    if (p[j - 1] == "." or p[j - 1] == s[i - 1]) :
                        dp[i][j] = dp[i - 1][j - 1]
                    elif (p[j - 1] == '*') :
                        if (p[j - 2] != '.' and p[j - 2] != s[i - 1]) :
                            dp[i][j] = dp[i][j - 2]
                        else :
                            dp[i][j] = (dp[i - 1][j] or dp[i][j - 1] or dp[i][j - 2])
            return dp[-1][-1]
    
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  • 原文地址:https://www.cnblogs.com/willwuss/p/12259119.html
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