Many thanks to everyone who contributed to this thread. The conclusion that
I'm going to take from this is that, at the moment, it's probably best if I
keep doing the RDKit builds and distributing them via the rdkit conda
channel. I'll keep an eye on things and maybe we can reconsider this
I think this demonstrates one drawback of conda-forge right now: it's best to
go 'all in' on conda-forge for all packages or you run the risk of a broken
environment.
In this Mac example, I think the issue may just be due to minor discrepancies
between the recipes on the conda-forge and rdkit
t Discuss <mailto:rdkit-discuss@lists.sourceforge.net>>, RDKit
> Developers List <mailto:rdkit-de...@lists.sourceforge.net>>
> Subject: [Rdkit-discuss] [Question] Ok to switch to conda-forge for
> RDKit builds?
> Message-ID:
><mailto:CAD4fdRQD
Does being in conda-forge mean the package will eventually make it to the
mainline conda repo?
I just have memories (admittedly from when dinosaurs walked the earth) of
upgrading a package from rpmforge and having it brick my Linux machine. And
I still sometimes see a conda-forge install change a
I am happy with conda forge :-). And thanks for the great work.
Markus
On Thu, Oct 18, 2018 at 5:46 PM Greg Landrum wrote:
> Um, guys, there are some interesting side conversations starting here, but
> can we please keep this thread on the "is it ok for me to stop doing builds
> on the RDKit
On Thu, Oct 18, 2018 at 2:21 PM Eric Jonas wrote:
> Greg, I'm all for anything that makes the release process on developers
> easier; my main question is : With conda-forge, how hard is it to install
> just _one_ package without having everything else (say numpy, pandas, etc)
> upgraded to the
Date : jeudi, 18 octobre 2018 à 14:21
À : Greg Landrum
Cc : "rdkit-discuss@lists.sourceforge.net"
, "rdkit-de...@lists.sourceforge.net"
Objet : Re: [Rdkit-discuss] [Question] Ok to switch to conda-forge for RDKit
builds?
Greg, I'm all for anything that makes the release p
Greg, I'm all for anything that makes the release process on developers
easier; my main question is : With conda-forge, how hard is it to install
just _one_ package without having everything else (say numpy, pandas, etc)
upgraded to the latest conda-forge version? I've had situations in the past
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