Re: [Numpy-discussion] Appveyor Testing Changes

2016-01-26 Thread Ralf Gommers
On Tue, Jan 26, 2016 at 2:13 AM, G Young wrote: > Ah, yes, that is true. That point had completely escaped my mind. In > light of this, it seems that it's not worth the while then to completely > switch over to pip + virtualenv. It's might be better actually to rewrite >

Re: [Numpy-discussion] Appveyor Testing Changes

2016-01-26 Thread G Young
Perhaps a pip + virtualenv build as well since that's one way that is mentioned in the online docs for installing source code. I can't think of anything else beyond that and what you suggested for the time being. Greg On Tue, Jan 26, 2016 at 6:59 PM, Ralf Gommers wrote:

Re: [Numpy-discussion] Appveyor Testing Changes

2016-01-25 Thread Nathaniel Smith
On Mon, Jan 25, 2016 at 2:37 PM, G Young wrote: > Hello all, > > I currently have a branch on my fork (not PR) where I am experimenting with > running Appveyor CI via Virtualenv instead of Conda. I have build running > here. What do people think of using Virtualenv (as we

Re: [Numpy-discussion] Appveyor Testing Changes

2016-01-25 Thread G Young
Hello all, I currently have a branch on my fork (not PR) where I am experimenting with running Appveyor CI via Virtualenv instead of Conda. I have build running here . What do people think of using Virtualenv (as we do on Travis)

Re: [Numpy-discussion] Appveyor Testing Changes

2016-01-25 Thread G Young
With regards to testing numpy, both Conda and Pip + Virtualenv work quite well. I have used both to install master and run unit tests, and both pass with flying colors. This chart here illustrates my point nicely as

Re: [Numpy-discussion] Appveyor Testing Changes

2016-01-25 Thread Michael Sarahan
Conda can generally install older versions of python in environments: conda create -n myenv python=3.4 You really don't need any particular initial version of python/conda in order to do this. You do, however, need to activate the new environment to use it: activate myenv (For windows, you do

Re: [Numpy-discussion] Appveyor Testing Changes

2016-01-25 Thread Bryan Van de Ven
> On Jan 25, 2016, at 5:21 PM, G Young wrote: > > With regards to testing numpy, both Conda and Pip + Virtualenv work quite > well. I have used both to install master and run unit tests, and both pass > with flying colors. This chart here illustrates my point nicely as

Re: [Numpy-discussion] Appveyor Testing Changes

2016-01-25 Thread G Young
Ah, yes, that is true. That point had completely escaped my mind. In light of this, it seems that it's not worth the while then to completely switch over to pip + virtualenv. It's might be better actually to rewrite the current Appveyor tests to use environments so that the test suite can be