Mkl-service

Latest version: v2.4.1

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2.3.0

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Fixed CI to actually execute tests. Populated CBWR constants to match MKL headers.
Added tests checking that `cbwr_set` and `cbwr_get` round-trip.

2.2.0

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Closed issues 8, 7 and 5.

Extended `mkl.cbwr_set` to recognize `'avx512_e1'`, `'avx512_mic_e1'`, as as strict conditional numerical reproducibility, supported via `'avx2,strict'`, `'avx512,strict'` (see [issue/8](http://github.com/IntelPython/mkl-service/issues/8)).

Extended `mkl.cbwrt_get()` to mean `mkl.cbwr('all')`.

2.1.0

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Change in setup script to not use `numpy.distutils` thus removing numpy as build-time dependency.

Change in conda-recipe to allow conda build to build the recipe, but ignoring run export on mkl-service coming from mkl-devel metadata.

2.0.2

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Correction to `setup.py` to not require Cython at the installation time.

2.0.1

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Re-release, with some changes necessary for public CI builds to work.

2.0.0

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Work-around for VS 9.0 not having `inline` keyword, allowing the package to build on Windows for Python 2.7

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