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Travis: Install numpy with OpenBLAS instead of MKL #456

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@rht rht commented Dec 11, 2018

By default, conda installs the non-FLOSS version of numpy, which bloats the installation size by 204.4 MB compressed (~600 MB uncompressed). This slows down the cache creation, even though now the conda install time has decreased from ~113s to ~11s.

See also: conda-forge/numpy-feedstock#84

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rht commented Dec 11, 2018

@coveralls
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Coverage Status

Coverage remained the same at 94.553% when pulling 467153f on rht:deps into ab0c261 on QuantEcon:master.

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rht commented Dec 11, 2018

I added the flake8 commit for the purpose of testing how long it takes for the cache to download (~44s, https://travis-ci.org/QuantEcon/QuantEcon.py/jobs/466303295#L443). It looks like the download size hasn't decreased significantly because the binaries from conda-forge are still fat. I suppose the remaining solution is to use pip.

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