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joomy | 1 month ago
The output you posted is from an example that we missed importing. It's also one of the tests that do not yet pass. But then again, in the readme, we are upfront with these issues:
> Crane is under active development. While many features are functional, parts of the extraction pipeline are still experimental, and you may encounter incomplete features or unexpected behavior. Please report issues on the GitHub tracker.
I should also note, mapping Rocq types to ideal C++ types is only one part of it. There are still efficiency concerns with recursive functions, smart pointers, etc. This is an active research project, and we have plans to tackle these problems: for recursion: try CPS + defunctionalization + convert to loops, for smart pointers: trying what Lean does (https://dl.acm.org/doi/10.1145/3412932.3412935), etc.
seeknotfind|1 month ago
Have you considered combinatorial testing? Test code generation for each sample program, for each set of mappings, and ensure they all have the same behavior. If you look at the relative size or performance, it could allow you to automatically discover this issue. Also, allocation counting.
Hey also sucks you are not in SF. I'm looking for people into formalization in the area, but I haven't found any yet
joomy|1 month ago
Our plan was to do random Rocq program generation and differential testing of Crane extracted code versus other extraction methods and even CertiCoq. But fixing a program and trying different mappings would certainly be a useful tool for any dev who would like to use our tool, and we should put it on our roadmap.