Regular Expression Matching — LeetCode 10 Python Solution
- Problem
- #10
- Pattern
- Dynamic Programming
- Reading time
- 3 min
- Source
- leetcode.com
The problem
Given an input string s and a pattern p, implement regular expression matching with support for '.' and '*' where: '.' 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".
Python solution
class Solution:
def isMatch(self, s: str, p: str) -> bool:
@cache
def dfs(i, j):
if j >= n:
return i == m
if j + 1 < n and p[j + 1] == '*':
return dfs(i, j + 2) or (
i < m and (s[i] == p[j] or p[j] == '.') and dfs(i + 1, j)
)
return i < m and (s[i] == p[j] or p[j] == '.') and dfs(i + 1, j + 1)
m, n = len(s), len(p)
return dfs(0, 0)Complexity
| Measure | Complexity |
|---|---|
| Time | O(m \times n) |
| Space | O(m \times n) auxiliary |
Pattern: Dynamic Programming
Define a state, write the transition, and stop recomputing the same subproblem. LeetCode 10. Regular Expression Matching is filed here on both counts: the reference solution below belongs to the algorithm family this hub collects, and LeetCode tags it Dynamic Programming.
The dynamic programming guide has the Python template for the pattern and the 481 LeetCode problems that use it.
Related problems
On a study list
This problem is on NeetCode 150.
Frequently asked questions
- How hard is LeetCode 10. Regular Expression Matching?
- LeetCode 10. Regular Expression Matching is rated Hard on LeetCode.
- What is the time complexity of LeetCode 10. Regular Expression Matching?
- The Python solution on this page runs in O(m \times n).
- What is the space complexity of LeetCode 10. Regular Expression Matching?
- The Python solution on this page uses O(m \times n) auxiliary space.
- What topics does LeetCode 10. Regular Expression Matching cover?
- LeetCode 10. Regular Expression Matching is tagged Recursion, String and Dynamic Programming on LeetCode.