Failed Login Log Ranking

Parse system logs, extract failed login attempts, group by IP and machine, and sort by failed-attempt count. Examples Example 1: Input: logs = [["192.168.1.1","server-a","failed"],["192.168.1.1","server-b","failed"],["192.168.1.1","server-a","success"],["10.0.0.2","server-a","failed"],["10.0.0.2","server-a","failed"],["10.0.0.2","server-c","failed"]] Output: ["10.0.0.2","192.168.1.1"] Explanation: 10.0.0.2 had 3 failed attempts and 192.168.1.1 had 2, so 10.0.0.2 comes first. Example 2: Input: logs = [["10.0.0.1","server-a","failed"],["10.0.0.2","server-a","failed"]] Output: ["10.0.0.1","10.0.0.2"] Explanation: Both IPs have 1 failed attempt. The tie is broken alphabetically, so 10.0.0.1 comes first. Example 3: Input: logs = [["192.168.1.1","server-a","success"]] Output: [] Explanation: No failed attempts means no IPs qualify. Constraints 0 <= logs.length <= 10^5 logs[i].length == 3 status is either "failed" or "success" ip and machine are non-empty strings of length at most 50