Description
Given a string s and a non-empty string p, find all the start indices of p's anagrams in s.
Strings consists of lowercase English letters only and the length of both strings s and p will not be larger than 20,100.
The order of output does not matter.
Example 1:
Input:
s: "cbaebabacd" p: "abc"Output:
[0, 6]Explanation:
The substring with start index = 0 is "cba", which is an anagram of "abc".
The substring with start index = 6 is "bac", which is an anagram of "abc".
Example 2:
Input:
s: "abab" p: "ab"Output:
[0, 1, 2]
Explanation:
The substring with start index = 0 is "ab", which is an anagram of "ab".
The substring with start index = 1 is "ba", which is an anagram of "ab".
The substring with start index = 2 is "ab", which is an anagram of "ab".
Solution
Two-pointer
class Solution {
public List<Integer> findAnagrams(String s, String p) {
List<Integer> anagrams = new ArrayList<>();
if (s == null || p == null || s.isEmpty() || p.isEmpty() || s.length() < p.length()) {
return anagrams;
}
int[] need = new int[256];
for (char c : p.toCharArray()) {
++need[c];
}
int left = 0;
int right = 0;
int stillNeed = p.length();
while (right < s.length()) {
// move right everytime, if the character exists in p's hash, decrease the count
// current hash value >= 1 means the character is existing in p
if (need[s.charAt(right)] > 0) {
--stillNeed;
}
--need[s.charAt(right)];
++right;
// when the count is down to 0, means we found the right anagram
// then add window's left to result list
if (stillNeed == 0) {
anagrams.add(left);
}
// if we find the window's size equals to p, then we have to
// move left (narrow the window) to find the new match window
// ++ to reset the hash because we kicked out the left
// only increase the count if the character is in p
// the count >= 0 indicate it was original in the hash, cuz it won't go below 0
if (right - left == p.length()) {
if (need[s.charAt(left)] >= 0) {
++stillNeed;
}
++need[s.charAt(left)];
++left;
}
}
return anagrams;
}
}