Today I have done leetcode's December LeetCoding Challenge with cpp.

December LeetCoding Challenge 28

Description

String Compression II

Run-length encoding is a string compression method that works by replacing consecutive identical characters (repeated 2 or more times) with the concatenation of the character and the number marking the count of the characters (length of the run). For example, to compress the string "aabccc" we replace "aa" by "a2" and replace "ccc" by "c3". Thus the compressed string becomes "a2bc3".

Notice that in this problem, we are not adding '1' after single characters.

Given a string s and an integer k. You need to delete at most k characters from s such that the run-length encoded version of s has minimum length.

Find the minimum length of the run-length encoded version of s after deleting at most k characters.

Example 1:

Input: s = "aaabcccd", k = 2
Output: 4
Explanation: Compressing s without deleting anything will give us "a3bc3d" of length 6. Deleting any of the characters 'a' or 'c' would at most decrease the length of the compressed string to 5, for instance delete 2 'a' then we will have s = "abcccd" which compressed is abc3d. Therefore, the optimal way is to delete 'b' and 'd', then the compressed version of s will be "a3c3" of length 4.

Example 2:

Input: s = "aabbaa", k = 2
Output: 2
Explanation: If we delete both 'b' characters, the resulting compressed string would be "a4" of length 2.

Example 3:

Input: s = "aaaaaaaaaaa", k = 0
Output: 3
Explanation: Since k is zero, we cannot delete anything. The compressed string is "a11" of length 3.

Constraints:

• 1 <= s.length <= 100
• 0 <= k <= s.length
• s contains only lowercase English letters.

Solution

auto speedup = [](){
  cin.tie(nullptr);
  cout.tie(nullptr);
  ios::sync_with_stdio(false);
  return 0;
}();

class Solution {
  uint8_t memo[101][27][101][104] = {};
  string s;
  uint8_t solve(
    uint8_t pos,
    uint8_t last,
    uint8_t last_length,
    uint8_t to_delete
  ) {
    if(memo[pos][last][last_length][to_delete] != 255) {
      
      return memo[pos][last][last_length][to_delete];
    }
    if(pos + to_delete >= s.length()) {
      uint8_t add = !last_length ? 0 :
                    last_length == 1 ? 1 :
                    last_length < 10 ? 2 :
                    last_length < 100 ? 3 : 4;
      return memo[pos][last][last_length][to_delete] = add;
    }
    uint8_t result = 255;
    if(to_delete) {
      result = solve(pos + 1, last, last_length, to_delete - 1);
    }
    if(s[pos] - 'a' == last) {
      result = min(result, solve(pos + 1, last, last_length + 1, to_delete));
    } else {
      uint8_t add = !last_length ? 0 :
                    last_length == 1 ? 1 :
                    last_length < 10 ? 2 :
                    last_length < 100 ? 3 : 4;
      result = min<uint8_t>(result, add + solve(pos + 1, s[pos] - 'a', 1, to_delete));
    }
    return memo[pos][last][last_length][to_delete] = result;
  }
public:
  int getLengthOfOptimalCompression(string s, int k) {
    this->s = s;
    memset(memo, -1, sizeof(memo[0]) * (s.length() + 1));
    return solve(0, 26, 0, k);
  }
};

// Accepted
// 144/144 cases passed (1168 ms)
// Your runtime beats 8.99 % of cpp submissions
// Your memory usage beats 64.04 % of cpp submissions (38.2 MB)