Re: [petsc-dev] PETSc janitorial work

[Blaise Bourdin]

What should be the proper format? Online or in person over a couple of days? Matt and I are about 1h away from each others. The problem with research and cleaning projects is that we always focus on the fun part (research) and neglect cleaning.. I would personally rank extending the tests coverage pretty high in the priority ranking. Doing so will also help finding flaws in documentation and manual pages. This requires very little knowledge of petsc development. What other low-hanging fruits can anybody think of? Blaise On Aug 23, 2022, at 10:09 AM, Nathan Collier <nathaniel.coll...@gmail.com> wrote: I would also participate. In general I would be happy to work more in PETSc--just need some more concrete direction in what would be useful. Nate On Tue, Aug 23, 2022 at 9:45 AM Matthew Knepley <knep...@gmail.com> wrote: On Tue, Aug 23, 2022 at 9:37 AM Blaise Bourdin <bour...@mcmaster.ca> wrote: All, I think that there is quite a bit of low-skills / time consuming work which is a poor use of the main developers’ time: syncing C / Fortran / python headers, improving the tests coverage, proofreading the manual and man pages, etc. I’d be more than happy to help organizing a virtual or in-person event focussing on such janitorial tasks, provided that we can get support from some senior developers to help and review. This could but does not have to be coordinated with the next pets users meeting. This is a good idea. I would participate. Also, I have some money to employ undergraduates. It would be great if we could come up with projects that have some research and some cleaning.   Thanks,      Matt   Any thoughts? Regards, Blaise — Tier 1 Canada Research Chair in Mathematical and Computational Aspects of Solid Mechanics Professor, Department of Mathematics & Statistics Hamilton Hall room 409A, McMaster University 1280 Main Street West, Hamilton, Ontario L8S 4K1, Canada https://www.math.mcmaster.ca/bourdin | +1 (905) 525 9140 ext. 27243 -- What most experimenters take for granted before they begin their experiments is infinitely more interesting than any results to which their experiments lead. -- Norbert Wiener https://www.cse.buffalo.edu/~knepley/ —  Tier 1 Canada Research Chair in Mathematical and Computational Aspects of Solid Mechanics Professor, Department of Mathematics & Statistics Hamilton Hall room 409A, McMaster University 1280 Main Street West, Hamilton, Ontario L8S 4K1, Canada  https://www.math.mcmaster.ca/bourdin | +1 (905) 525 9140 ext. 27243