Given an array arr that represents a permutation of numbers from 1 to n.
You have a binary string of size n that initially has all its bits set to zero. At each step i (assuming both the binary string and arr are 1-indexed) from 1 to n, the bit at position arr[i] is set to 1.
You are also given an integer m. Find the latest step at which there exists a group of ones of length m. A group of ones is a contiguous substring of 1's such that it cannot be extended in either direction.
Return the latest step at which there exists a group of ones of length exactlym. If no such group exists, return-1.
Example 1:
Input: arr = [3,5,1,2,4], m = 1
Output: 4
Explanation:
Step 1: "00100", groups: ["1"]
Step 2: "00101", groups: ["1", "1"]
Step 3: "10101", groups: ["1", "1", "1"]
Step 4: "11101", groups: ["111", "1"]
Step 5: "11111", groups: ["11111"]
The latest step at which there exists a group of size 1 is step 4.
Example 2:
Input: arr = [3,1,5,4,2], m = 2
Output: -1
Explanation:
Step 1: "00100", groups: ["1"]
Step 2: "10100", groups: ["1", "1"]
Step 3: "10101", groups: ["1", "1", "1"]
Step 4: "10111", groups: ["1", "111"]
Step 5: "11111", groups: ["11111"]
No group of size 2 exists during any step.
Constraints:
n == arr.length
1 <= m <= n <= 105
1 <= arr[i] <= n
All integers in arr are distinct.
Solutions
Solution 1
Thinking
Zeros flip to ones in the order of \(arr\); we want the last time a contiguous block of length \(m\) exists. \(n\le 10^5\), so rebuilding the string each step is impossible. If \(m=n\) the whole array fills at step \(n\).
A disjoint-set forest stores the size of each ones-component. Before a new index merges with a filled neighbor, if that neighbor's component has size exactly \(m\), the group still exists at this step and we record it. Then union and update the size.
The union-find lookups add a log factor, yet merges only touch interval endpoints. Store each ones-run's length at its two ends; a new point reads the neighboring end lengths, writes \(l+r+1\) to the new ends, and checks whether \(l\) or \(r\) equals \(m\). Updates are \(O(1)\), so the total time is linear.