Medium
You are given a binary string s of length n, where:
'1' represents an active section.'0' represents an inactive section.You can perform at most one trade to maximize the number of active sections in s. In a trade, you:
'1's that is surrounded by '0's to all '0's.'0's that is surrounded by '1's to all '1's.Return the maximum number of active sections in s after making the optimal trade.
Note: Treat s as if it is augmented with a '1' at both ends, forming t = '1' + s + '1'. The augmented '1's do not contribute to the final count.
Example 1:
Input: s = “01”
Output: 1
Explanation:
Because there is no block of '1's surrounded by '0's, no valid trade is possible. The maximum number of active sections is 1.
Example 2:
Input: s = “0100”
Output: 4
Explanation:
"0100" → Augmented to "101001"."0100", convert "10**1**001" → "1**0000**1" → "1**1111**1"."1111". The maximum number of active sections is 4.Example 3:
Input: s = “1000100”
Output: 7
Explanation:
"1000100" → Augmented to "110001001"."000100", convert "11000**1**001" → "11**000000**1" → "11**111111**1"."1111111". The maximum number of active sections is 7.Example 4:
Input: s = “01010”
Output: 4
Explanation:
"01010" → Augmented to "1010101"."010", convert "10**1**0101" → "1**000**101" → "1**111**101"."11110". The maximum number of active sections is 4.Constraints:
1 <= n == s.length <= 105s[i] is either '0' or '1'import kotlin.math.max
class Solution {
fun maxActiveSectionsAfterTrade(s: String): Int {
var oneCount = 0
var convertedOne = 0
var curZeroCount = 0
var lastZeroCount = 0
for (i in 0..<s.length) {
if (s[i] == '0') {
curZeroCount++
} else {
if (curZeroCount != 0) {
lastZeroCount = curZeroCount
}
curZeroCount = 0
oneCount++
}
convertedOne = max(convertedOne, curZeroCount + lastZeroCount)
}
// corner case
if (convertedOne == curZeroCount || convertedOne == lastZeroCount) {
return oneCount
}
return oneCount + convertedOne
}
}