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).
Example:
Input:
s = "aa"
p = "a"
Output: false
Explanation: "a" does not match the entire string "aa".
Input:
s = "aa"
p = "a"
Output: true
Explanation: '' means zero or more of the precedeng element, 'a'. Therefore, by repeating 'a' once, it becomes "aa".
Input:
s = "ab"
p = "."
Output: true
Explanation: "." means "zero or more (*) of any character (.)".
Input:
s = "aab"
p = "cab"
Output: true
Explanation: c can be repeated 0 times, a can be repeated 1 time. Therefore it matches "aab".
Input:
s = "mississippi"
p = "misisp*."
Output: false
Note:
s
could be empty and contains only lowercase lettersa-z
.
p could be empty and contains only lowercase lettersa-z
, and characters like.
or*
.
解释下题目:
根据给定的规则字符串匹配
1. 动态规划
实际耗时:22ms
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;
//其实有隐含条件:p的第一个肯定不能是*
for (int i = 1; i < p.length(); i++) {
if (p.charAt(i) == '*' && dp[0][i - 1]) {
dp[0][i + 1] = true;
}
}
for (int i = 0; i < s.length(); i++) {
for (int j = 0; j < p.length(); j++) {
//如果是"." 说明可以匹配任何,直接往下面去即可
if (p.charAt(j) == '.') {
dp[i + 1][j + 1] = dp[i][j];
continue;
}
//两者完全一致,说明可以匹配
if (p.charAt(j) == s.charAt(i)) {
dp[i + 1][j + 1] = dp[i][j];
continue;
}
//最难的一个,如果是"*",说明可以匹配一个或者0个
if (p.charAt(j) == '*') {
//如果前一个不能匹配上,说明"*"只能是0个
if (p.charAt(j - 1) != s.charAt(i) && p.charAt(j - 1) != '.') {
dp[i + 1][j + 1] = dp[i + 1][j - 1];
} else {
//前一个匹配上,所以可以是多个
//三个分别是: a*=a a*=aa a*=空
dp[i + 1][j + 1] = (dp[i + 1][j] || dp[i][j + 1] || dp[i + 1][j - 1]);
}
}
}
}
return dp[s.length()][p.length()];
}
踩过的坑:"aa", "a*"
思路大部分在注释中,需要注意的是*的处理,它可以是0个,1个,2个(3个及以上可以在下一个循环中进行处理)
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