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10. Regular Expression Matching.cpp
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10. Regular Expression Matching.cpp
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// ***
//
// 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 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
//
//
// Constraints:
//
// 0 <= s.length <= 20
// 0 <= p.length <= 30
// s contains only lowercase English letters.
// p contains only lowercase English letters, '.', and '*'.
// It is guaranteed for each appearance of the character '*', there will be a previous valid character to match.
//
// ***
// dp[i][j]: whether s[0: i) can be matched by p[0: j)
//
// Note s and p's index have -1 offset from dp array's index, since you initialized to
// vector<vector<bool>> dp(m + 1, vector<bool>(n + 1, false)), like many other dp problems.
//
class Solution {
public:
bool isMatch(string s, string p) {
int m = s.size(), n = p.size();
vector<vector<bool>> dp(m + 1, vector<bool>(n + 1, false));
// base conditions:
// dp[0][0] = true
// dp[i][0] = false since if p contains no regex then nothing in s can be mateched
dp[0][0] = true;
for (int i = 0; i <= m; ++i) {
for (int j = 1; j <= n; ++j) {
// i-3, i-2, i-1
// s ... ... ...
// p ... ... *
// j-3, j-2, j-1
if (j > 1 && p[j - 1] == '*') {
// Skip matching the pattern at p[j-2]
if (dp[i][j - 2]) {
dp[i][j] = true;
}
// Matching the pattern at p[j-2]
else if (i > 0 and dp[i - 1][j]) {
if (s[i - 1] == p[j - 2] or p[j - 2] == '.') {
dp[i][j] = true;
}
}
}
// i-3, i-2, i-1
// s ... ... ...
// p ... ... ...
// j-3, j-2, j-1
else {
if (i > 0 and dp[i - 1][j - 1]) {
// Simple single letter matching.
if (s[i - 1] == p[j - 1] or p[j - 1] == '.') {
dp[i][j] = true;
}
}
}
}
}
return dp[m][n];
}
};
// Recursion. Understanding dp table solution is sufficient.
// See labuladong book pp. 155
// _dp(s, i, p, j): Whether s[i:) can be matched by p[j:)
class Solution {
public:
bool isMatch(string s, string p) {
int i = 0, j = 0;
return _dp(s, i, p, j);
}
private:
bool _dp(const string& s, int i, const string& p, int j) {
int m = s.size(), n = p.size();
// * base conditions *
if (j == n) {
return i == m;
}
if (i == m) {
if ((n - j) % 2 == 1) {
return false;
}
for (; j + 1 < n; j += 2) {
if (p[j + 1] != '*') {
return false;
}
}
return true;
}
string key = to_string(i) + "," + to_string(j);
if (_memo.count(key)) {
return _memo[key];
}
bool res = false;
if (s[i] == p[j] || p[j] == '.') {
if (j < n - 1 && p[j + 1] == '*') {
res = _dp(s, i, p, j + 2) || _dp(s, i + 1, p, j);
} else {
res = _dp(s, i + 1, p, j + 1);
}
} else {
if (j < n - 1 && p[j + 1] == '*') {
res = _dp(s, i, p, j + 2);
} else {
res = false;
}
}
return _memo[key] = res;
}
unordered_map<string, bool> _memo;
};