
Problem Statement
In the given problem, we are tasked with finding the maximum achievable score by partitioning a binary string, consisting solely of '0's and '1's, into two non-empty substrings. The score for each split is computed as the total count of '0's in the left substring plus the total count of '1's in the right substring. The objective is to explore all viable splitting points, compute the respective scores, and then determine the maximum score among them. This scenario is particularly useful in scenarios where the segmentation of data affects the outcomes significantly, and selecting the optimal segmentation point can help in maximizing desired outcomes.
Examples
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.
Approach and Intuition
Given the nature of the problem, our task hinges on effectively deciding where to split the string to maximize our score. Here is a simplification of the thought process and steps needed to solve the problem considering the given constraints and examples:
- Initialize variables to keep track of the count of '1's in the entire string, which will aid in computing the number of '1's on the right for each potential split.
- Set up a variable to track the count of '0's encountered as we traverse the string from left to right, acting as our left substring.
- Establish a loop to simulate the split, where at each iteration, you decide the end of the left substring and the start of the right substring.
- For each split:
- Calculate the current score as the sum of '0's in the left substring (tracked by a running count) and '1's in the right substring (derived by the total '1's minus the accumulated '1's up to the current split).
- Update the maximum score observed so far.
- Finally, ensure that all stringent conditions are met, particularly that no substring is empty, as stated in the problem.
This systematic traversal and computation leverage the linearity of the problem—to compute scores for each possible split with only a single pass needed through the string (after the initial computation of total ones), resulting in an efficient solution.
Solutions
- C++
- Java
- Python
class Solution {
public:
int highestScore(string str) {
int countOnes = 0;
int countZeros = 0;
int maxScore = INT_MIN;
for (int i = 0; i < str.length() - 1; i++) {
if (str[i] == '1') {
countOnes++;
} else {
countZeros++;
}
maxScore = max(maxScore, countZeros - countOnes);
}
if (str[str.length() - 1] == '1') {
countOnes++;
}
return maxScore + countOnes;
}
};
The problem presented aims to find the maximum score obtained by splitting a given string into two non-empty parts where the score is calculated based on the number of 0
s in the left part and the number of 1
s in the right part. The approach used in the C++ solution involves iterating through the string, updating counts of 0
s and 1
s, and keeping track of the maximum score as the string is processed.
Here's an outline of how the code accomplishes this:
- Initialize counters for
1
s (countOnes
) and0
s (countZeros
) and a variable to hold the maximum score (maxScore
), setting it to INT_MIN initially. - Iterate through the string until the second last character.
- Increase the
countOnes
if the current character is1
. - Increase the
countZeros
if the current character is0
. - Update
maxScore
using the difference betweencountZeros
andcountOnes
.
- Increase the
- After exiting the loop, check and increment the
countOnes
if the last character of the string is1
. - Return the final score calculated by adding
countOnes
tomaxScore
.
This method ensures that the solution is efficient and handles the string manipulation in a linear pass, calculating the maximum possible score optimally.
class Solution {
public int calculateMaxScore(String str) {
int countOnes = 0;
int countZeros = 0;
int maxScore = Integer.MIN_VALUE;
for (int idx = 0; idx < str.length() - 1; idx++) {
if (str.charAt(idx) == '1') {
countOnes++;
} else {
countZeros++;
}
maxScore = Math.max(maxScore, countZeros - countOnes);
}
if (str.charAt(str.length() - 1) == '1') {
countOnes++;
}
return maxScore + countOnes;
}
}
Maximizing the score after splitting a string involves a combination of counting and optimization strategies. This Java solution defines a function calculateMaxScore
that takes a string of zeros and ones as input and determines the maximum score possible by splitting the string into two parts.
- Start by initializing three integer variables
countOnes
,countZeros
, andmaxScore
.countOnes
andcountZeros
keep track of the number of '1's and '0's respectively in the first part of the string split, andmaxScore
, initially set toInteger.MIN_VALUE
, stores the maximum calculated score so far. - Loop through all possible split positions in the string, except for the last character, using a for loop. For each index
idx
:- If
str.charAt(idx)
is '1', incrementcountOnes
; otherwise, incrementcountZeros
. - Update
maxScore
to be the greater value between the currentmaxScore
and(countZeros - countOnes)
. Here,(countZeros - countOnes)
effectively calculates the score at the current split position.
- If
- After the loop, conditionally increase
countOnes
if the last character of the string is '1'. - Finally, return
maxScore + countOnes
. The addition ofcountOnes
accounts for all the '1's counted that contribute positively to the score after the final split, ensuring the result includes contributions from all parts of the string.
Through this logical strategy, the function efficiently computes the maximum score by leveraging differences in the counts of '1's and '0's at every possible split, providing a solution optimal for scenarios where such string characteristics determine outcomes.
class Solution:
def calculateMaxScore(self, input_string: str) -> int:
count_ones = 0
count_zeros = 0
maximum_score = -float('inf')
for index in range(len(input_string) - 1):
if input_string[index] == "1":
count_ones += 1
else:
count_zeros += 1
maximum_score = max(maximum_score, count_zeros - count_ones)
if input_string[-1] == "1":
count_ones += 1
return maximum_score + count_ones
In the "Maximum Score After Splitting a String" task, your goal is to identify the maximum score achievable by splitting a binary string. This Python3 solution involves iterating through the string (except the last character) to calculate a score by tracking the number of zeroes and ones. Each position in the string where a split could be made is evaluated to determine its contribution to the score using the formula count_zeros - count_ones
. The maximum score is continually updated while iterating through the string.
Here's a breakdown of the approach taken:
- Initialize counters for ones (
count_ones
) and zeros (count_zeros
) and set themaximum_score
to negative infinity to ensure that it will be updated with any valid score during the initial comparison. - Iterate over the string except the last character, updating the counts of ones and zeros and subsequently updating the
maximum_score
based on the difference between the counts of zeros and ones up to that point. - After the loop, account for the last character by updating the count of ones if needed.
- The final score gets computed by adding
count_ones
tomaximum_score
, accounting for the influence of all ones in the string.
This method efficiently evaluates potential splits by leveraging the difference in occurrence of '1's and '0's up to each character in the string, enabling the determination of the best point to split the string for maximizing the score.
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