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30. Substring with Concatenation of All Words

Description

You are given a string s and an array of strings words. All the strings of words are of the same length.

A concatenated string is a string that exactly contains all the strings of any permutation of words concatenated.

  • For example, if words = ["ab","cd","ef"], then "abcdef", "abefcd", "cdabef", "cdefab", "efabcd", and "efcdab" are all concatenated strings. "acdbef" is not a concatenated string because it is not the concatenation of any permutation of words.

Return an array of the starting indices of all the concatenated substrings in s. You can return the answer in any order.

 

Example 1:

Input: s = "barfoothefoobarman", words = ["foo","bar"]

Output: [0,9]

Explanation:

The substring starting at 0 is "barfoo". It is the concatenation of ["bar","foo"] which is a permutation of words.
The substring starting at 9 is "foobar". It is the concatenation of ["foo","bar"] which is a permutation of words.

Example 2:

Input: s = "wordgoodgoodgoodbestword", words = ["word","good","best","word"]

Output: []

Explanation:

There is no concatenated substring.

Example 3:

Input: s = "barfoofoobarthefoobarman", words = ["bar","foo","the"]

Output: [6,9,12]

Explanation:

The substring starting at 6 is "foobarthe". It is the concatenation of ["foo","bar","the"].
The substring starting at 9 is "barthefoo". It is the concatenation of ["bar","the","foo"].
The substring starting at 12 is "thefoobar". It is the concatenation of ["the","foo","bar"].

 

Constraints:

  • 1 <= s.length <= 104
  • 1 <= words.length <= 5000
  • 1 <= words[i].length <= 30
  • s and words[i] consist of lowercase English letters.

 

Solutions

Solution: Sliding Window + Hash Map

  • Time complexity: O(n)
  • Space complexity: O(n)

 

JavaScript

js
/**
 * @param {string} s
 * @param {string[]} words
 * @return {number[]}
 */
const findSubstring = function (s, words) {
  const wordsMap = words.reduce((map, word) => {
    const count = map.get(word) ?? 0;

    return map.set(word, count + 1);
  }, new Map());
  const currentMap = new Map();
  const n = s.length;
  const length = words[0].length;
  const result = [];
  const getSubStrCount = str => currentMap.get(str) ?? 0;

  for (let start = 0; start < length; start++) {
    let left = start;
    let currentCount = 0;

    for (let index = start; index <= n - length; index += length) {
      const subStr = s.slice(index, index + length);
      const count = wordsMap.get(subStr);

      if (count) {
        currentMap.set(subStr, getSubStrCount(subStr) + 1);
        if (getSubStrCount(subStr) <= count) currentCount += 1;
        else {
          while (getSubStrCount(subStr) > count) {
            const leftSubStr = s.slice(left, left + length);

            currentMap.set(leftSubStr, getSubStrCount(leftSubStr) - 1);
            left += length;
            if (getSubStrCount(leftSubStr) >= wordsMap.get(leftSubStr)) continue;
            currentCount -= 1;
          }
        }
        if (currentCount === words.length) {
          const leftSubStr = s.slice(left, left + length);

          result.push(left);
          currentMap.set(leftSubStr, getSubStrCount(leftSubStr) - 1);
          currentCount -= 1;
          left += length;
        }
        continue;
      }
      currentCount = 0;
      currentMap.clear();
      left = index + length;
    }
    currentMap.clear();
  }
  return result;
};

Released under the MIT license