39 lines
1.4 KiB
ReStructuredText
39 lines
1.4 KiB
ReStructuredText
==========================
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NumPy 1.15.4 Release Notes
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==========================
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This is a bugfix release for bugs and regressions reported following the 1.15.3
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release. The Python versions supported by this release are 2.7, 3.4-3.7. The
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wheels are linked with OpenBLAS v0.3.0, which should fix some of the linalg
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problems reported for NumPy 1.14.
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Compatibility Note
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==================
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The NumPy 1.15.x OS X wheels released on PyPI no longer contain 32-bit
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binaries. That will also be the case in future releases. See
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`#11625 <https://github.com/numpy/numpy/issues/11625>`__ for the related
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discussion. Those needing 32-bit support should look elsewhere or build
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from source.
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Contributors
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============
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A total of 4 people contributed to this release. People with a "+" by their
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names contributed a patch for the first time.
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* Charles Harris
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* Matti Picus
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* Sebastian Berg
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* bbbbbbbbba +
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Pull requests merged
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====================
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A total of 4 pull requests were merged for this release.
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* `#12296 <https://github.com/numpy/numpy/pull/12296>`__: BUG: Dealloc cached buffer info
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* `#12297 <https://github.com/numpy/numpy/pull/12297>`__: BUG: Fix fill value in masked array '==' and '!=' ops.
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* `#12307 <https://github.com/numpy/numpy/pull/12307>`__: DOC: Correct the default value of `optimize` in `numpy.einsum`
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* `#12320 <https://github.com/numpy/numpy/pull/12320>`__: REL: Prepare for the NumPy 1.15.4 release
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