[Bioc-devel] R version check in BiocChech
Kevin,
It does not request users to make R-devel a _requirement_ of their
package. Sadly it does for new packages. New packages submitted to Bioconductor 3.7 are _required_ to have R >= 3.5 dependency, otherwist BiocCheck will result in a warning ( https://github.com/Bioconductor/BiocCheck/blob/be9cd6e36d95f8bf873b52427d2a97fce6fbb9b9/R/checks.R#L23) and warnings aren't allowed for new package submission.
Here, I think the decision here boils down to how far back in terms of R
versions the developer is willing to support the package. I suppose one could state R?2.3 if they're confident about it. That's the problem: this is true for packages already in Bioconductor, but it's not ture for the new package submissions. Aaron,
Personally, I haven't found it to be particularly difficult to update R, or to run R-devel in parallel with R 3.4, even without root privileges.
I find it much harder for a normal user to install R-devel (and update it
properly, because it's a development version) and running
'devtools::install_github("blabla/my_package")'.
I think many people underappreciate the benefits of moving to the latest version of R.
Don't you think it should be a developer's choice whether to use such new features or ignore them and have a potentially bigger audience?
Enforcing version consistency avoids heartache during release and debugging.
But it's a developer's heartache. As I said, it even can't be attributed to Bioconductor at all, as it's not possible to install the package from bioc-devel, unless you have the corresponding R version. -- Alexey
On Mon, Feb 19, 2018 at 6:38 PM, Aaron Lun <alun at wehi.edu.au> wrote:
I'll just throw in my two cents here. I think many people underappreciate the benefits of moving to the latest version of R. If you inspect the R-devel NEWS file, there's a couple of nice fixes/features that a developer might want to take advantage of: - sum() doesn't give NAs upon integer overflow anymore. - New ...elt(n) and ...length() functions for dealing with ellipses. - ALTREP support for 1:n sequences (wow!) - zero length subassignment in a non-zero index fails correctly. The previous 3.4.0 release also added support for more DLLs being loaded at once, which was otherwise causing headaches in workflows. And 3.4.2 had a bug fix to LAPACK, which did result in a few user-level changes in some packages like edgeR. So there are considerable differences between the versions of R, especially if one is a package developer. Enforcing version consistency avoids heartache during release and debugging. There's a choice between users getting annoyed about having to update R, and then updating R, and everything working as a result; or everyone (developers/users) wasting some time figuring out whether a bug in a package is due to the code in the package itself or the version of R. The brief annoyance in the first option is better than the chronic grief of the second option, especially given that the solution to the problem in the second option would be to update R anyway. Personally, I haven't found it to be particularly difficult to update R, or to run R-devel in parallel with R 3.4, even without root privileges. -Aaron On 19/02/18 14:55, Kevin RUE wrote:
Hi Alexey, I do agree with you that there is no harm in testing against other
version
of R. In a way, that is even good practice, considering that many HPC
users
do not always have access to the latest version of R, and that Travis is making this fairly easy. Now, with regard to your latest reply, I am wondering whether we're
having
confusion here between the "R?x.x" requirement, and the version(s) of R that you use to develop/test your package (the version of R installed on your own machine). First, I think the "R?x.x" does not have an explicit rule. To me, the point of this requirement is to declare the oldest version of
R
that the package has been tested/validated for. This does not necessarily have to be the _next_ version of R (see the core Bioc package S4Vectors: https://bioconductor.org/packages/release/bioc/html/S4Vectors.html, and
I
am sure there are older requirements in other packages).
Here, I think the decision here boils down to how far back in terms of R
versions the developer is willing to support the package. I suppose one
could state R?2.3 if they're confident about it.
On a separate note, going back to the Bioc guideline that I initially
highlighted ("Package authors should develop against the version of *R*
that
will be available to users when the *Bioconductor* devel branch becomes
the
*Bioconductor* release branch."), this rather refers to the
forward-looking
guideline that the cutting-edge version of any R package should be compatible with the cutting edge version of R, and that developers should be working with R-devel to ensure this. In other words, this only refers to the version of R that the developer should have installed on their own machine. It does not request users to make R-devel a _requirement_ of their package. I hope this addresses your question better, and I am curious to hear if anyone else has an opinion or precisions to weigh in on this topic. Best, Kevin On Mon, Feb 19, 2018 at 12:19 PM, Alexey Sergushichev <
alsergbox at gmail.com>
wrote:
Hello Kevin, Well, bioc-devel packages are tested against bioc-devel (and R-3.5) in
any
case. What I'm saying is that aside from testing the package against bioc-devel, I can as well test against bioc-release too on my own. If
the
package doesn't work with bioc-devel it shouldn't pass bioc-devel
checks,
if the package is properly developed and has a good test coverage. So I
see
no problem in allowing developers to test against other versions, on
top of
developing against bioc-devel. And as it's only possible to install the package from github and not from Bioconductor, the developer alone is responsible for the package to work properly. I can't really see a scenario, where requiring R >= 3.5 helps to improve the package quality.
A short-term workaround can be to create a git branch (e.g. "3.4").
That's the way I'm doing too, but supporting two branches different only in R version looks ridiculous and unnecessary. -- Alexey On Mon, Feb 19, 2018 at 12:48 PM, Kevin RUE <kevinrue67 at gmail.com>
wrote:
Dear Alexey, The reason is somewhat implicitly given at https://www.bioconductor.or g/developers/how-to/useDevel/ : "Package authors should develop against the version of *R* that will be available to users when the *Bioconductor* devel branch becomes the *Bioconductor* release branch." In other words, developing against the _next_ version of R ensures that all packages in development are tested in the environment where they
will
be released to the general community. In particular, that environment includes the latest devel version of all Bioconductor packages, that
will
become their next release version. If developers were allowed to develop and test their package in the _current_ version of R, there is no guarantee that those packages would still work when they are made available with the _next_ version of R
(e.g.
if one of their dependencies is about to introduce some breaking
changes).
That could cause all sorts of trouble in the first builds on the next Bioconductor release, which is meant to be a place storing stable
working
code. Overall, you will do yourself and your users a favor developing with
the
_next_ version of R, as this is a forward-looking strategy, as
explained
above. In contrast, the short-term benefit of developing with the
_current_
version of R is largely outweighed by the risk of wasting time looking
at
code that is about to be deprecated. A short-term workaround can be to create a git branch (e.g. "3.4"),
where
the R version requirement is downgraded. Then, you can always keep developing against R-devel on your master branch and back-port the more recent commit to the "3.4" branch by typing "git rebase master 3.4" in
your
shell. A recent example of this situation can be found in the discussion here
as
a branch to the original repository https://github.com/csoneson/iS EE/pull/124 and here as a fork https://github.com/mdshw5 /iSEE/commit/6fb98192a635a6222491b66fb0474dc38f922495 I hope this helps. Best wishes, Kevin On Mon, Feb 19, 2018 at 8:02 AM, Alexey Sergushichev <
alsergbox at gmail.com
wrote:
Dear Bioconducotr community, I wonder, what is the reason behind requirement for dependency R >=
3.5
(currently) for new packages? As a developer I really want an installation of my package to be as
easy
as possible and want my package to be easily installed from github. So currently, when I develop a package I put a R >= 3.4 in my DESCRIPTION and test it using Travis against bioc-release. Then, before submission to Bioconductor, I have to change R >= 3.4 dependency to R >= 3.5, so that the package passes BiocCheck. However, most users don't have R-devel installed, so they have R 3.4 in the best case, and for these users I create another repository branch with R >= 3.4 dependency. Overall, it is quite bothersome and it doesn't really make sense to
me to
to restrict potential users in this way. Am I the only one who have issues with this? Am I missing something? Or may be this check could be
removed?
Best,
Alexey Sergushichev
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