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 flips[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.length1 <= n <= 5 * 104flipsis 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).
class Solution: def numTimesAllBlue(self, flips: List[int]) -> int: ans = mx = 0 for i, x in enumerate(flips, 1): mx = max(mx, x) ans += mx == i return ans(code-box)
