Hi All,

On behalf of the NumPy team, I am pleased to announce the release of NumPy 1.15.1. This is a bugfix release for bugs and regressions reported following the 1.15.0 release. Noticeable fixes are

- The annoying but harmless RuntimeWarning that "numpy.dtype size changed" has been suppressed. The long standing suppression was lost in the transition to pytest. - The update to Cython 0.28.3 exposed a problematic use of a gcc attribute used to prefer code size over speed in module initialization, possibly resulting in incorrect compiled code. This has been fixed in latest Cython but has been disabled here for safety. - Support for big-endian and ARMv8 architectures has been improved.

The Python versions supported by this release are 2.7, 3.4-3.7. The wheels are linked with OpenBLAS v0.3.0, which should fix some of the linalg problems reported for NumPy 1.14. Wheels for this release can be downloaded from PyPI https://pypi.org/project/numpy/1.15.1/, source archives are available from Github https://github.com/numpy/numpy/releases/tag/v1.15.1.

*Compatibility Note*

The NumPy 1.15.x OS X wheels released on PyPI no longer contain 32-bit binaries. That will also be the case in future releases. See #11625 https://github.com/numpy/numpy/issues/11625 for the related discussion. Those needing 32-bit support on the Mac should look elsewhere or build from source.

*Contributors*

A total of 7 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

* Charles Harris * Chris Billington * Elliott Sales de Andrade + * Eric Wieser * Jeremy Manning + * Matti Picus * Ralf Gommers

*Pull requests merged*

A total of 24 pull requests were merged for this release.

* `#11647 https://github.com/numpy/numpy/pull/11647`__: MAINT: Filter Cython warnings in ``__init__.py`` * `#11648 https://github.com/numpy/numpy/pull/11648`__: BUG: Fix doc source links to unwrap decorators * `#11657 https://github.com/numpy/numpy/pull/11657`__: BUG: Ensure singleton dimensions are not dropped when converting... * `#11661 https://github.com/numpy/numpy/pull/11661`__: BUG: Warn on Nan in minimum,maximum for scalars * `#11665 https://github.com/numpy/numpy/pull/11665`__: BUG: cython sometimes emits invalid gcc attribute * `#11682 https://github.com/numpy/numpy/pull/11682`__: BUG: Fix regression in void_getitem * `#11698 https://github.com/numpy/numpy/pull/11698`__: BUG: Make matrix_power again work for object arrays. * `#11700 https://github.com/numpy/numpy/pull/11700`__: BUG: Add missing PyErr_NoMemory after failing malloc * `#11719 https://github.com/numpy/numpy/pull/11719`__: BUG: Fix undefined functions on big-endian systems. * `#11720 https://github.com/numpy/numpy/pull/11720`__: MAINT: Make einsum optimize default to False. * `#11746 https://github.com/numpy/numpy/pull/11746`__: BUG: Fix regression in loadtxt for bz2 text files in Python 2. * `#11757 https://github.com/numpy/numpy/pull/11757`__: BUG: Revert use of `console_scripts`. * `#11758 https://github.com/numpy/numpy/pull/11758`__: BUG: Fix Fortran kind detection for aarch64 & s390x. * `#11759 https://github.com/numpy/numpy/pull/11759`__: BUG: Fix printing of longdouble on ppc64le. * `#11760 https://github.com/numpy/numpy/pull/11760`__: BUG: Fixes for unicode field names in Python 2 * `#11761 https://github.com/numpy/numpy/pull/11761`__: BUG: Increase required cython version on python 3.7 * `#11763 https://github.com/numpy/numpy/pull/11763`__: BUG: check return value of _buffer_format_string * `#11775 https://github.com/numpy/numpy/pull/11775`__: MAINT: Make assert_array_compare more generic. * `#11776 https://github.com/numpy/numpy/pull/11776`__: TST: Fix urlopen stubbing. * `#11777 https://github.com/numpy/numpy/pull/11777`__: BUG: Fix regression in intersect1d. * `#11779 https://github.com/numpy/numpy/pull/11779`__: BUG: Fix test sensitive to platform byte order. * `#11781 https://github.com/numpy/numpy/pull/11781`__: BUG: Avoid signed overflow in histogram * `#11785 https://github.com/numpy/numpy/pull/11785`__: BUG: Fix pickle and memoryview for datetime64, timedelta64 scalars * `#11786 https://github.com/numpy/numpy/pull/11786`__: BUG: Deprecation triggers segfault

Cheers,

Charles Harris