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3003. Maximize the Number of Partitions After Operations

Description

You are given a string s and an integer k.

First, you are allowed to change at most one index in s to another lowercase English letter.

After that, do the following partitioning operation until s is empty:

  • Choose the longest prefix of s containing at most k distinct characters.
  • Delete the prefix from s and increase the number of partitions by one. The remaining characters (if any) in s maintain their initial order.

Return an integer denoting the maximum number of resulting partitions after the operations by optimally choosing at most one index to change.

 

Example 1:

Input: s = "accca", k = 2

Output: 3

Explanation:

The optimal way is to change s[2] to something other than a and c, for example, b. then it becomes "acbca".

Then we perform the operations:

  1. The longest prefix containing at most 2 distinct characters is "ac", we remove it and s becomes "bca".
  2. Now The longest prefix containing at most 2 distinct characters is "bc", so we remove it and s becomes "a".
  3. Finally, we remove "a" and s becomes empty, so the procedure ends.

Doing the operations, the string is divided into 3 partitions, so the answer is 3.

Example 2:

Input: s = "aabaab", k = 3

Output: 1

Explanation:

Initially s contains 2 distinct characters, so whichever character we change, it will contain at most 3 distinct characters, so the longest prefix with at most 3 distinct characters would always be all of it, therefore the answer is 1.

Example 3:

Input: s = "xxyz", k = 1

Output: 4

Explanation:

The optimal way is to change s[0] or s[1] to something other than characters in s, for example, to change s[0] to w.

Then s becomes "wxyz", which consists of 4 distinct characters, so as k is 1, it will divide into 4 partitions.

 

Constraints:

  • 1 <= s.length <= 104
  • s consists only of lowercase English letters.
  • 1 <= k <= 26

 

Solutions

Solution: Dynamic Programming

  • Time complexity: O(26n -> n)
  • Space complexity: O(26n -> n)

 

JavaScript

js
/**
 * @param {string} s
 * @param {number} k
 * @return {number}
 */
const maxPartitionsAfterOperations = function (s, k) {
  const BASE_CODE = 'a'.charCodeAt(0);
  const n = s.length;
  const memo = new Map();

  function getPartitions(index, isChange, mask, bit) {
    const nextMask = mask | bit;

    if (popcount(nextMask) > k) {
      return 1 + getMaxPartitions(index + 1, isChange, bit);
    }

    return getMaxPartitions(index + 1, isChange, nextMask);
  }

  function getMaxPartitions(index, isChange, mask) {
    if (index >= n) return 0;

    const key = `${index},${((isChange ? 1 : 0) << 26) | mask}`;

    if (memo.has(key)) return memo.get(key);

    const bit = 1 << (s[index].charCodeAt(0) - BASE_CODE);
    let result = getPartitions(index, isChange, mask, bit);

    if (!isChange) {
      for (let code = 0; code < 26; code++) {
        const partitions = getPartitions(index, true, mask, 1 << code);

        result = Math.max(partitions, result);
      }
    }

    memo.set(key, result);

    return result;
  }

  return getMaxPartitions(0, false, 0) + 1;
};

function popcount(x) {
  let count = 0;

  while (x) {
    x &= x - 1;
    count += 1;
  }

  return count;
}

Released under the MIT license