[Numpy-discussion] NumPy 1.12.0 release

[Charles R Harris]

Hi All,

I'm pleased to announce the NumPy 1.12.0 release. This release supports
Python 2.7 and 3.4-3.6. Wheels for all supported Python versions may be
downloaded from PiPY
, the tarball
and zip files may be downloaded from Github
. The release notes
and files hashes may also be found at Github
 .

NumPy 1.12.0rc 2 is the result of 418 pull requests submitted by 139
contributors and comprises a large number of fixes and improvements. Among
the many improvements it is difficult to  pick out just a few as standing
above the others, but the following may be of particular interest or
indicate areas likely to have future consequences.

* Order of operations in ``np.einsum`` can now be optimized for large speed
improvements.
* New ``signature`` argument to ``np.vectorize`` for vectorizing with core
dimensions.
* The ``keepdims`` argument was added to many functions.
* New context manager for testing warnings
* Support for BLIS in numpy.distutils
* Much improved support for PyPy (not yet finished)

Enjoy,

Chuck
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[Numpy-discussion] question about long doubles on ppc64el

[Thomas Caswell]

Folks,

Over at h5py we are trying to get a release out and have discovered (via
debian) that on ppc64el there is an apparent disagreement between the size
of a native long double according to hdf5 and numpy.

For all of the gorey details see: https://github.com/h5py/h5py/issues/817 .

In short, `np.longdouble` seems to be `np.float128` and according to the
docs should map to the native 'long double'.  However, hdf5 provides a
`H5T_NATIVE_LDOUBLE` which should also refer to the native 'long double',
but seems to be a 64 bit float.

Anyone on this list have a ppc64el machine (or experience with) that can
provide some guidance here?

Tom
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