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： 滑动窗

思路：
Time Complexity: O(N) Space Complexity: O(M)

Solution Code：

class Solution {
    public List<Integer> findAnagrams(String s, String p) {
        List<Integer> list = new ArrayList<>();
        if (s == null || s.length() == 0 || p == null || p.length() == 0) return list;
        int[] hash = new int[256]; //character hash
        //record each character in p to hash
        for (char c : p.toCharArray()) {
            hash[c]++;
        }
        //two points, initialize count to p's length
        int left = 0, right = 0, count = 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 (hash[s.charAt(right++)]-- >= 1) count--; 

            //when the count is down to 0, means we found the right anagram
            //then add window's left to result list
            if (count == 0) list.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() && hash[s.charAt(left++)]++ >= 0) count++;
        }
        return list;
    }
}