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Description
Edit: #100 has fixed most of these issues without relying on the not-yet-published JuliaLowering.jl. It uses a local reimplementation of most scoping rules of the language, thus missing edge cases might exist. Leaving this (now smaller) bounty for future work of moving this implementation to JuliaLowering, to provide a more centralized source-of-truth on scoping.
This software transform annotated julia functions into finite state machines that can be paused and re-entered. The issue tracker has many reports of edge cases related to unsupported syntax or bugs due to loss of scope information. PR #92 even attempts to fix some of these issues, but it is too limited and ad-hoc.
JuliaLowering.jl is itself only experimental these days, but it should have enough capabilities for solving most of the issues depicted here.
To claim this bounty, "simply" fix all these issues ;) (or fix many or the related issues)
Required skills: Deep understanding of Julia macros, syntax, and lowering.
Reviewer: Stefan Krastanov
Duration: 3 months
Payout procedure:
The Funding for these bounties comes from the National Science Foundation and from the NSF Center for Quantum Networks. The payouts are managed by the NumFOCUS foundation and processed in bulk once every two months. If you live in a country in which NumFOCUS can make payments, you can participate in this bounty program.
Click here for more details about the bug bounty program.
Bug bounty logistic details (click to expand)
To claim exclusive time to work on this bounty either post a comment here or message skrastanov@umass.edu with:
- your name
- github username
- (optional) a brief list of previous pertinent projects you have engaged in
Currently the project is claimed by no one
until ...
.
If you want to, you can work on this project without making a claim, however claims are encouraged to give you and other contributors peace of mind. Whoever has made a claim takes precedence when solutions are considered.
You can always propose your own funded project, if you would like to contribute something of value that is not yet covered by an official bounty.