Problem
You are given two strings s and sub. You are also given a 2D character array mappings where mappings[i] = [oldi, newi] indicates that you may perform the following operation any number of times:
- Replace a character
oldiofsubwithnewi.
Each character in sub cannot be replaced more than once.
Return true** if it is possible to make sub a substring of s by replacing zero or more characters according to **mappings. Otherwise, return false.
A substring is a contiguous non-empty sequence of characters within a string.
Example 1:
Input: s = "fool3e7bar", sub = "leet", mappings = [["e","3"],["t","7"],["t","8"]]
Output: true
Explanation: Replace the first 'e' in sub with '3' and 't' in sub with '7'.
Now sub = "l3e7" is a substring of s, so we return true.
Example 2:
Input: s = "fooleetbar", sub = "f00l", mappings = [["o","0"]]
Output: false
Explanation: The string "f00l" is not a substring of s and no replacements can be made.
Note that we cannot replace '0' with 'o'.
Example 3:
Input: s = "Fool33tbaR", sub = "leetd", mappings = [["e","3"],["t","7"],["t","8"],["d","b"],["p","b"]]
Output: true
Explanation: Replace the first and second 'e' in sub with '3' and 'd' in sub with 'b'.
Now sub = "l33tb" is a substring of s, so we return true.
Constraints:
1 <= sub.length <= s.length <= 50000 <= mappings.length <= 1000mappings[i].length == 2oldi != newisandsubconsist of uppercase and lowercase English letters and digits.oldiandnewiare either uppercase or lowercase English letters or digits.
Solution
class Solution {
private char[] c1;
private char[] c2;
private Set<Character>[] al;
public boolean matchReplacement(String s, String sub, char[][] mappings) {
c1 = s.toCharArray();
c2 = sub.toCharArray();
al = new Set[75];
for (int i = 0; i < 75; i++) {
Set<Character> temp = new HashSet<>();
al[i] = temp;
}
for (char[] mapping : mappings) {
al[mapping[0] - '0'].add(mapping[1]);
}
return ans(c1.length, c2.length) == 1;
}
private int ans(int m, int n) {
if (m == 0) {
return 0;
}
if (ans(m - 1, n) == 1) {
return 1;
}
if (m >= n && (c1[m - 1] == c2[n - 1] || al[c2[n - 1] - '0'].contains(c1[m - 1]))) {
while (n >= 1 && (c1[m - 1] == c2[n - 1] || al[c2[n - 1] - '0'].contains(c1[m - 1]))) {
n--;
m--;
}
if (n == 0) {
return 1;
}
}
return 0;
}
}
Explain:
nope.
Complexity:
- Time complexity : O(n).
- Space complexity : O(n).