
You have k servers numbered from 0 to k-1 that are being used to handle multiple requests simultaneously. Each server has infinite computational capacity but cannot handle more than one request at a time . The requests are assigned to servers according to a specific algorithm:
The i ^th (0-indexed) request arrives.
If all servers are busy, the request is dropped (not handled at all).
If the (i % k) ^th server is available, assign the request to that server.
Otherwise, assign the request to the next available server (wrapping around the list of servers and starting from 0 if necessary). For example, if the i ^th server is busy, try to assign the request to the (i+1) ^th server, then the (i+2) ^th server, and so on.
You are given a strictly increasing array arrival of positive integers, where arrival[i] represents the arrival time of the i ^th request, and another array load , where load[i] represents the load of the i ^th request (the time it takes to complete). Your goal is to find the busiest server(s) . A server is considered busiest if it handled the most number of requests successfully among all the servers.
Return a list containing the IDs (0-indexed) of the busiest server(s) . You may return the IDs in any order.
1 <= k <= 10 ^51 <= arrival.length, load.length <= 10 ^5arrival.length == load.length1 <= arrival[i], load[i] <= 10 ^9arrival is strictly increasing .