@@SOUMYABANERJEE-hq9wl It would again take O(N) (for generation of numbers) + O(NlogN) (for sorting / priority queue) ending up in TLE. As constraints are in power of 9, Lesser than logarithmic Complexities are preferred

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Thanks bro 🙏

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No, actually I am creating temporary files on EC2 on each submission request. Thereafter, I am compiling code with input{hash}.txt on my EC2 instance and then storing output in output.txt file and then returning output{hash}.txt content as response, if no compilation error. I am deleting the created files afterwards. In this way, I am handling concurrent request. Limitations in this approach may be: - On thousands of requests simultaneously, system may crash due to single instance and lesser RAM capacity. Is there any more efficient way of handling concurrent requests to serve the purpose?

@@kevintamakuwala Looks cool. I was wondering that the runtime for processing submissions would then depend on the number of concurrent users, right? In case I submit my problem during a contest, time limit might exceed if compared to the time if I submit when no one else is submitting 🤔

@@yosansu Exactly, it would depend on number of users indeed. I have thought of this problem earlier, but currently at this point of time, I am not concerned about TLE, MLE checks. Even O(N!) would pass the test cases. Maybe I can implement it as soon as I get to know about the feasible solutions. One possible solution could be creating threads and running a submission of a user on a single allotted thread. Any suggestions?

After compilation, I am getting the output of the submitted code submitted as my response, which I am matching against the expected output in CodeEditor component. If any one of the TC fails, I prompt WA msg to the user.