[leetcode] Wildcard Matching
Implement wildcard pattern matching with support for'?'and'*'.
'?' Matches any single character. '*' Matches any sequence of characters (including the empty sequence). The matching should cover the entire input string (not partial). The function prototype should be: bool isMatch(const char *s, const char *p) Some examples: isMatch("aa","a") → false isMatch("aa","aa") → true isMatch("aaa","aa") → false isMatch("aa", "*") → true isMatch("aa", "a*") → true isMatch("ab", "?*") → true isMatch("aab", "c*a*b") → false
https://oj.leetcode.com/problems/wildcard-matching/
思路1:二维动归(提交竟然空间超出错误)。 dp[i][j]代表p[0...i]是否匹配 s[0...j]。
- 如果p[i]!='*',t[i][j] == true 当 t[i-1][j-1]==true &&(p[i]==s[j]||p[i]='.')
- 如果p[i]=='*',t[i][j]== true 当 其中一个m使得 t[i-1][m]==true,where 0<=m<j.
思路2:二维状态压缩为一维,原理是一样的。
思路1和思路2代码:
/** * http://www.darrensunny.me/leetcode-wildcard-matching-2/ * http://www.wangqifox.cn/wordpress/?p=396 * * @author Dong Jiang * */ public class Solution { // MLE, the states can be compressed. public boolean isMatchOld(String s, String p) { if (s == null) return p == null; if (p == null) return s == null; int m = p.length(); int n = s.length(); boolean[][] dp = new boolean[m + 1][n + 1]; dp[0][0] = true; for (int i = 1; i <= m; i++) { if (p.charAt(i - 1) == '*') { int j = n + 1; for (int k = 0; k <= n; k++) { if (dp[i - 1][k]) j = k; } for (; j <= n; j++) dp[i][j] = true; } else { for (int j = 1; j <= n; j++) { if (dp[i - 1][j - 1] && (p.charAt(i - 1) == s.charAt(j - 1) || p.charAt(i - 1) == '?')) dp[i][j] = true; } } dp[i][0] = dp[i - 1][0] && (p.charAt(i - 1) == '*'); } return dp[m][n]; } public boolean isMatch(String s, String p) { if (s == null) return p == null; if (p == null) return s == null; int m = p.length(); int n = s.length(); int count = 0; for (int i = 0; i < m; i++) { if (p.charAt(i) != '*') count++; } if (count > n) return false; boolean[] dp = new boolean[n + 1]; dp[0] = true; for (int i = 1; i <= m; i++) { if (p.charAt(i - 1) == '*') { int j = n+1; for (int k = 0; k <= n; k++) { if (dp[k]){ j = k; break; } } for (; j <= n; j++) dp[j] = true; } else { for (int j = n; j >= 1; j--) { dp[j]= (dp[j - 1] && (p.charAt(i - 1) == s.charAt(j - 1) || p.charAt(i - 1) == '?')); } } dp[0] = dp[0] && (p.charAt(i - 1) == '*'); } return dp[n]; } public static void main(String[] args) { System.out.println(new Solution().isMatch("ab", "*a")); } }
第二遍记录:注意有一行,因为一维是与上一次循环公用数组(意味着默认不一定是false了),所以不仅要赋值true的情况,还要赋值false的情况。
public class Solution { public boolean isMatch(String s, String p) { if (s == null) return p == null; if (p == null) return s == null; int m = p.length(); int n = s.length(); // to deal with the hardest case... int count = 0; for (int i = 0; i < m; i++) { if (p.charAt(i) != '*') count++; } if (count > n) return false; boolean[] dp = new boolean[n + 1]; dp[0] = true; for (int i = 1; i <= m; i++) { if (p.charAt(i - 1) == '*') { int j = n + 1; for (int k = 0; k <= n; k++) { if (dp[k]) { j = k; break; } } for (; j <= n; j++) dp[j] = true; } else { for (int j = n; j >= 1; j--) { //be careful of this line dp[j]= (dp[j - 1] && (p.charAt(i - 1) == s.charAt(j - 1) || p.charAt(i - 1) == '?')); } } dp[0] = dp[0] && (p.charAt(i - 1) == '*'); } return dp[n]; } }
参考:
http://www.darrensunny.me/leetcode-wildcard-matching-2/
http://www.wangqifox.cn/wordpress/?p=396