Travis failiing because requirements.txt is out of order?

[drphilmarshall]

Infuriatingly.

[mbaumer]

The Travis stack trace says that scikit-learn can't find scipy during its install. It seems like issues like this with the Travis default python, pip, and scipy are known: https://gist.github.com/dan-blanchard/7045057
Their suggested solution (including template .travis.yml file) is to download and install miniconda every time Travis runs, and use that as your working python install. I remember this method being suggested at AHW as well--any thoughts on using this to avoid this problem?

[drphilmarshall]

Thanks Mike! I've resorted to conda in other projects for other reasons,
perhaps I should just switch to that every time. ill try it out.

On Fri, Nov 4, 2016 at 2:06 PM, Mike Baumer notifications@github.com
wrote:

The Travis stack trace says that scikit-learn can't find scipy during its
install. It seems like issues like this with the Travis default python,
pip, and scipy are known: https://gist.github.com/dan-blanchard/7045057
Their suggested solution (including template .travis.yml file) is to
download and install miniconda every time Travis runs, and use that as your
working python install. I remember this method being suggested at AHW as
well--any thoughts on using this to avoid this problem?

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[mbaumer]

I understand your "last resort" thinking--it does seem a bit silly to have to download and install an entire python distribution every time you run your tests--when (in theory) the travis system already has its own python in place. But from Travis' point of view, perhaps they see it as trading more computational overhead each time a test set runs for less human overhead in maintaining the diverse python configurations users demand. Just a thought to make us feel less bad about using it as a default strategy!

[drphilmarshall]

:-) Travis is now happy, as of PR #44.