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@staticfloat
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This is the first package where I've tried to mix JLL packages with more
custom installation procedures, but it seems to more-or-less work.

@staticfloat
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Appveyor 1.3 x86 failure will be fixed in rc5

This is the first package where I've tried to mix JLL packages with more
custom installation procedures, but it seems to more-or-less work.
@ararslan
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Lookin' good! Would it be possible to use a BinaryBuilder-provided MKL upon request instead of using Conda?

@ararslan ararslan merged commit 82c835d into master Nov 27, 2019
@ararslan ararslan deleted the sf/jll_packages branch November 27, 2019 04:07
@staticfloat
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Lookin' good! Would it be possible to use a BinaryBuilder-provided MKL upon request instead of using Conda?

https://github.com/JuliaBinaryWrappers/MKL_jll.jl/releases/tag/MKL-v2019.0.117%2B0

@ararslan
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Yeah, I know it exists, I'm just not sure how one would restructure the provider choice since it's actually loading a package rather than just picking up an existing library.

@staticfloat
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I think just like how we do this:

https://github.com/JuliaMath/FFTW.jl/pull/122/files#diff-ed74277d7f2e98f12cf51e6b8be90705R44-R48

We could generate a few lines to load in MKL_jll.

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2 participants