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 lettersa-z
.p
could be empty and contains only lowercase lettersa-z
, and characters like.
or*
.
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 precedeng 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
LeetCode:链接
剑指offer同题:剑指Offer_编程题52:正则表达式匹配
1)递归方法
如果P[j+1]!='*',S[i] == P[j]=>匹配下一位(i+1, j+1),S[i]!=P[j]=>匹配失败;
如果P[j+1]=='*',S[i]==P[j]=>匹配下一位(i+1, j)或者(i, j+2),S[i]!=P[j]=>匹配下一位(i,j+2)。
class Solution(object):
def isMatch(self, s, p):
"""
:type s: str
:type p: str
:rtype: bool
"""
if s == p:
return True
if len(p) > 1 and p[1] == '*':
if s and (s[0] == p[0] or p[0] == '.'):
return self.isMatch(s[1:], p) or self.isMatch(s, p[2:])
else:
return self.isMatch(s, p[2:])
elif s and p and (s[0] == p[0] or p[0] == '.'):
return self.isMatch(s[1:], p[1:])
return False
2)动态规划
dp[i][j] 表示s中前i个字符与p的前j个字符组成的表示式是否匹配。dp[0][0]恒为True,对于i为0的情况,空串可以匹配到p前面的表达式为.* 或c*这种情况(c为任意字符)。
class Solution(object):
def isMatch(self, s, p):
"""
:type s: str
:type p: str
:rtype: bool
"""
dp = [[False for _ in range(len(p) + 1)] for _ in range(len(s) + 1)]
dp[0][0] = True
for j in range(2,len(p) + 1):
if p[j - 1] == '*':
dp[0][j] = dp[0][j - 2]
for i in range(1,len(s) + 1):
for j in range(1,len(p) + 1):
if p[j - 1] == '*':
dp[i][j] = dp[i][j-1] or dp[i][j-2] or (dp[i-1][j] and (s[i-1] == p[j-2] or p[j-2] == '.'))
elif p[j-1] == '.' or s[i-1] == p[j - 1]:
dp[i][j] = dp[i-1][j-1]
return dp[len(s)][len(p)]