ANN: NumPy 1.5.1

[Ralf Gommers]

Hi,

I am pleased to announce the availability of NumPy 1.5.1.

NumPy is the fundamental package needed for scientific computing with
Python. It contains:
* a powerful N-dimensional array object
* sophisticated (broadcasting) functions
* basic linear algebra functions
* basic Fourier transforms
* sophisticated random number capabilities
* tools for integrating Fortran code.

Besides it's obvious scientific uses, NumPy can also be used as an efficient
multi-dimensional container of generic data. Arbitrary data-types can be
defined. This allows NumPy to seamlessly and speedily integrate with a
wide-variety of databases.

This bug-fix release comes almost 3 months after the 1.5.0 release, it
contains no new features compared to 1.5.0. Binaries, sources and release
notes can be found at https://sourceforge.net/projects/numpy/files/.

Thank you to everyone who contributed to this release.

Enjoy,
The numpy developers.



=========================
NumPy 1.5.1 Release Notes
=========================

Numpy 1.5.1 is a bug-fix release with no new features compared to 1.5.0.


Numpy source code location changed
==============================
====

Numpy has stopped using SVN as the version control system, and moved
to Git. The development source code for Numpy can from now on be found
at

    http://github.com/numpy/numpy


Note on GCC versions
====================

On non-x86 platforms, Numpy can trigger a bug in the recent GCC compiler
versions 4.5.0 and 4.5.1: http://gcc.gnu.org/bugzilla/show_bug.cgi?id=45967
We recommend not using these versions of GCC for compiling Numpy
on these platforms.


Bugs fixed
==========

Of the following, #1605 is important for Cython modules.

- #937:  linalg: lstsq should always return real residual
- #1196: lib: fix negative indices in s_ and index_exp
- #1287: core: fix uint64 -> Python int cast
- #1491: core: richcompare should return Py_NotImplemented when undefined
- #1517: lib: close file handles after use in numpy.lib.npyio.*
- #1605: core: ensure PEP 3118 buffers can be released in exception handler
- #1617: core: fix clongdouble cast to Python complex()
- #1625: core: fix detection for ``isfinite`` routine
- #1626: core: fix compilation with Solaris 10 / Sun Studio 12.1

Scipy could not be built against Numpy 1.5.0 on OS X due to a
numpy.distutils
bug, #1399. This issue is fixed now.

- #1399: distutils: use C arch flags for Fortran compilation on OS X.

Python 3 specific; #1610 is important for any I/O:

- #----: f2py: make f2py script runnable on Python 3
- #1604: distutils: potential infinite loop in numpy.distutils
- #1609: core: use accelerated BLAS, when available
- #1610: core: ensure tofile and fromfile maintain file handle positions