1375. Number of Times Binary String Is Prefix-Aligned
Description
You have a 1-indexed binary string of length n
where all the bits are 0
initially. We will flip all the bits of this binary string (i.e., change them from 0
to 1
) one by one. You are given a 1-indexed integer array flips
where flips[i]
indicates that the bit at index i
will be flipped in the ith
step.
A binary string is prefix-aligned if, after the ith
step, all the bits in the inclusive range [1, i]
are ones and all the other bits are zeros.
Return the number of times the binary string is prefix-aligned during the flipping process.
Example 1:
Input: flips = [3,2,4,1,5] Output: 2 Explanation: The binary string is initially "00000". After applying step 1: The string becomes "00100", which is not prefix-aligned. After applying step 2: The string becomes "01100", which is not prefix-aligned. After applying step 3: The string becomes "01110", which is not prefix-aligned. After applying step 4: The string becomes "11110", which is prefix-aligned. After applying step 5: The string becomes "11111", which is prefix-aligned. We can see that the string was prefix-aligned 2 times, so we return 2.
Example 2:
Input: flips = [4,1,2,3] Output: 1 Explanation: The binary string is initially "0000". After applying step 1: The string becomes "0001", which is not prefix-aligned. After applying step 2: The string becomes "1001", which is not prefix-aligned. After applying step 3: The string becomes "1101", which is not prefix-aligned. After applying step 4: The string becomes "1111", which is prefix-aligned. We can see that the string was prefix-aligned 1 time, so we return 1.
Constraints:
n == flips.length
1 <= n <= 5 * 104
flips
is a permutation of the integers in the range[1, n]
.
Solutions
Solution 1: Direct Traversal
We can traverse the array \(flips\), keeping track of the maximum value \(mx\) of the elements we have traversed so far. If \(mx\) equals the current index \(i\) we are traversing, it means that the first \(i\) elements have all been flipped, i.e., the prefix is consistent, and we increment the answer.
After the traversal is finished, we return the answer.
The time complexity is \(O(n)\), where \(n\) is the length of the array \(flips\). The space complexity is \(O(1)\).
1 2 3 4 5 6 7 |
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1 2 3 4 5 6 7 8 9 10 11 12 |
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1 2 3 4 5 6 7 8 9 10 11 |
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1 2 3 4 5 6 7 8 9 10 |
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1 2 3 4 5 6 7 8 9 10 11 |
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