Compute the Maximum Score After Splitting a String

  • 时间:2020-10-11 15:25:20
  • 分类:网络文摘
  • 阅读:146 次

Given a string s of zeros and ones, return the maximum score after splitting the string into two non-empty substrings (i.e. left substring and right substring). The score after splitting a string is the number of zeros in the left substring plus the number of ones in the right substring.

Example 1:
Input: s = “011101”
Output: 5
Explanation:
All possible ways of splitting s into two non-empty substrings are:
left = “0” and right = “11101”, score = 1 + 4 = 5
left = “01” and right = “1101”, score = 1 + 3 = 4
left = “011” and right = “101”, score = 1 + 2 = 3
left = “0111” and right = “01”, score = 1 + 1 = 2
left = “01110” and right = “1”, score = 2 + 1 = 3

Example 2:
Input: s = “00111”
Output: 5
Explanation: When left = “00” and right = “111”, we get the maximum score = 2 + 3 = 5

Example 3:
Input: s = “1111”
Output: 3

Constraints:
2 <= s.length <= 500
The string s consists of characters ‘0’ and ‘1’ only.

Hints:
Precompute a prefix sum of ones (‘1’).
Iterate from left to right counting the number of zeros (‘0’), then use the precomputed prefix sum for counting ones (‘1’). Update the answer.

Prefix Sum Algorithm to compute the Maximum Score After Splitting a String

We can compute the total number of ‘1’s using the std::accumulate() function from C++. Then, we can iterate from right to left, and count the number of ‘1’s in the right partition. Then the score can be computed because we can easily get the number of ‘0’s in the left partition.

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
class Solution {
public:
    int maxScore(string s) {
        int sum = std::accumulate(begin(s), end(s), 0, [](auto &a, auto &b) {
            return a + (b == '1' ? 1 : 0);
        });
        if (sum == 0) return 1;
        if (sum == s.size()) return sum - 1;
        int res = 0, right = 0;
        for (int i = s.size() - 1; i > 0; -- i) {
            right += (s[i] == '1' ? 1 : 0);
            int score = (i - sum  + right) + right;
            res = max(res, score);
        }
        return res;
    }
};
class Solution {
public:
    int maxScore(string s) {
        int sum = std::accumulate(begin(s), end(s), 0, [](auto &a, auto &b) {
            return a + (b == '1' ? 1 : 0);
        });
        if (sum == 0) return 1;
        if (sum == s.size()) return sum - 1;
        int res = 0, right = 0;
        for (int i = s.size() - 1; i > 0; -- i) {
            right += (s[i] == '1' ? 1 : 0);
            int score = (i - sum  + right) + right;
            res = max(res, score);
        }
        return res;
    }
};

The runtime complexity is O(N) where we perform two linear scans. The space requirement is constant.

–EOF (The Ultimate Computing & Technology Blog) —

推荐阅读:
Tips for Local Business Blogs  5 Tips to Drive Traffic to Your Blog  Ideas to Help You Set Up the Home Office of Your Dreams  Wix vs Squarespace 2020 – Things You Must Know  How to Delete N Nodes After M Nodes of a Linked List?  Bruteforce Algorithm to Find the Unique Positive Integer Whose S  Clone (Deep Copy) Binary Tree With Random Pointer using Hash Map  How to Compute Running Sum of 1d Array using std::partial_sum in  How to Renew the Free SSL Certificates (Nginx Server)?  Design: How to Solve 503 Error of API when Resources are not ava 
评论列表
添加评论