[R-pkg-devel] Overcoming CRAN's 5mb vendoring requirement
Ben Bolker
bbo|ker @end|ng |rom gm@||@com
Wed May 8 22:12:31 CEST 2024
Zenodo and OSF (see e.g.
<https://fairsharing.org/FAIRsharing.g4z879>) are both non-profit
organizations that support archiving -- that is, they both make stronger
guarantees of permanent availability than GitHub does. Possibly Software
Heritage https://www.softwareheritage.org/features/ ?
Zenodo has convenient GitHub integration.
On 2024-05-08 4:01 p.m., Josiah Parry wrote:
> Thank you, Ivan, for your really thoughtful feedback! I really appreciate
> it!
>
> - I'll see if there are any base R packages that support SHA-2 or SHA-3.
> - I'll see if I can get the configure.ac to make the appropriate Rscript
> call for configure.win.
> - I think the idea of having a single `confgure.ac` file to generate
> both configure and configure.win is nice. Guidance with GitHub
> actions and
> ChatGPT is essentially a must for me since my bash is remedial at best.
>
> Regarding the permanent storage requirement, I find it to be very strange.
> I've personally never heard of Zenodo until just now! Does the CRAN team
> have recommendations for what is considered "as sufficiently reliable?" I
> have repos that have persisted for almost 10 years. I think that is
> sufficiently reliable!
>
> The requirement to avoid GitHub feels surprisingly anachronistic given how
> central it is to the vast majority of software development. The alternative
> I can think of is to create a CDN on cloudflare or something to store the
> file independently.
>
> Are there any avenues to have CRAN clarify their positions outside of
> one-off processes? It would be quite unfortunate to go through all the work
> of creating a way to build, store, and retrieve the dependencies only for
> CRAN to decide they don't support it.
>
>
> On Wed, May 8, 2024 at 3:32 PM Ivan Krylov <ikrylov using disroot.org> wrote:
>
>> В Wed, 8 May 2024 14:08:36 -0400
>> Josiah Parry <josiah.parry using gmail.com> пишет:
>>
>>> With ChatGPT's ability to write autoconf, I *think *I have something
>>> that can work.
>>
>> You don't have to write autoconf if your configure.ac is mostly a plain
>> shell script. You can write the configure script itself. Set the PATH
>> and then exec "${R_HOME}/bin/Rscript" tools/configure.R (in the
>> regular, non-multiarch configure for Unix-like systems) or exec
>> "${R_HOME}/bin${R_ARCH_BIN}/Rscript.exe" tools/configure.R (in
>> configure.win, which you'll also need). You've already wrote the rest
>> of the code in a language you know well: R.
>>
>> Autoconf would be useful if you had system-specific dependencies with
>> the need to perform lots of compile tests. Those would have been a pain
>> to set up in R. Here you mostly need sys.which() instead of
>> AC_CHECK_PROGS and command -v.
>>
>>> The configure file runs tools/get-deps.R which will download the
>>> dependencies from the repo if available and verify the checksums.
>>
>> One of the pain points is the need for a strong, cryptographically
>> secure hash. MD5 is, unfortunately, no longer such a hash. In a cmake
>> build, you would be able to use cmake's built in strong hashes (such as
>> SHA-2 or SHA-3). The CRAN policy doesn't explicitly forbid MD5; it only
>> requires a "checksum". If you figure out a way to use a strong hash
>> from tools/configure.R for the downloaded tarball, please let us know.
>>
>>> If the checksums don't match, an error is thrown, otherwise it can
>>> continue. I believe this meets the requirements of CRAN?
>>
>> The other important CRAN requirement is to store the vendor tarball
>> somewhere as permanent as CRAN itself (see the caveats at the bottom of
>> https://cran.r-project.org/web/packages/using_rust.html), that is, not
>> GitHub. I think that Zenodo counts as a sufficiently reliable store.
>>
>> --
>> Best regards,
>> Ivan
>>
>
> [[alternative HTML version deleted]]
>
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--
Dr. Benjamin Bolker
Professor, Mathematics & Statistics and Biology, McMaster University
Director, School of Computational Science and Engineering
(Acting) Graduate chair, Mathematics & Statistics
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