2450. Number of Distinct Binary Strings After Applying Operations
Explanation:
Given a string of length n
, we can apply two operations:
- Swap: Choose any two indices
i
andj
(0-indexed) and swap the characters at positionsi
andj
. - Reverse: Reverse the string between indices
i
andj
(inclusive).
Our goal is to find the number of distinct binary strings that can be obtained after applying a sequence of these operations.
To solve this problem, we can use the concept of permutation cycles. We can consider the binary string as a set of connected components where each component is a cycle. These cycles are formed by the positions of 1
in the binary string. By analyzing the cycles, we can determine the number of distinct binary strings that can be formed.
Algorithm:
- Initialize a set to store the binary strings we have already encountered.
- For each binary string, identify the cycles formed by the positions of
1
. - Calculate the number of permutations for each cycle.
- Multiply the number of permutations of all cycles to get the total number of distinct binary strings.
- Return the count of distinct binary strings.
Time Complexity:
The time complexity of this algorithm is O(n) where n is the length of the binary string.
Space Complexity:
The space complexity is O(n) to store the set of encountered binary strings.
:
class Solution {
public int numDifferentIntegers(String word) {
Set<String> set = new HashSet<>();
int n = word.length();
for (int i = 0; i < n; i++) {
if (Character.isDigit(word.charAt(i))) {
int j = i;
while (j < n && Character.isDigit(word.charAt(j))) {
j++;
}
while (i < j && word.charAt(i) == '0') {
i++;
}
set.add(word.substring(i, j));
i = j;
}
}
return set.size();
}
}
Code Editor (Testing phase)
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