2301. Match Substring After Replacement
Description
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
oldi
ofsub
withnewi
.
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 <= 5000
0 <= mappings.length <= 1000
mappings[i].length == 2
oldi != newi
s
andsub
consist of uppercase and lowercase English letters and digits.oldi
andnewi
are either uppercase or lowercase English letters or digits.
Solutions
Solution 1: Hash Table + Enumeration
First, we use a hash table $d$ to record the set of characters that each character can be replaced with.
Then we enumerate all substrings of length $sub$ in $s$, and judge whether the string $sub$ can be obtained by replacement. If it can, return true
, otherwise enumerate the next substring.
At the end of the enumeration, it means that $sub$ cannot be obtained by replacing any substring in $s$, so return false
.
The time complexity is $O(m \times n)$, and the space complexity is $O(C^2)$. Here, $m$ and $n$ are the lengths of the strings $s$ and $sub$ respectively, and $C$ is the size of the character set.
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