I don't believe GPT is built for this still. There's a too big risk it will fill in another implementation from its training instead of adapting the input.
Here, who says the idiomatic translation is not .sort()? It should use the stdlib.
I wonder if there could be a synthesis of traditional testin g / verification / compiler technology that would help in filtering for correctness. Like property/fuzz testing that automatically checks for deviations in translated vs original by sampling the input space? Or symbolic execution that do the same. And also ask GPT to find a difference in semantics.. and verify its answer to check for hallucination.
(funnily enough, passing in the "original" code without the `unsafe extern "C"` part makes it produce the exact same output as the above)