[Numpy-discussion] ANN: NumPy 1.6.2 released
Charles R Harris
charlesr.harris at gmail.com
Sun May 20 06:00:39 EDT 2012
On Sun, May 20, 2012 at 3:34 AM, Ralf Gommers
<ralf.gommers at googlemail.com>wrote:
> Hi,
>
> I'm pleased to announce the availability of NumPy 1.6.2. This is a
> maintenance release. Due to the delay of the NumPy 1.7.0, this release
> contains far more fixes than a regular NumPy bugfix release. It also
> includes a number of documentation and build improvements.
>
> Sources and binary installers can be found at
> <https://sourceforge.net/projects/numpy/files/NumPy/1.6.2rc1/>
> http://sourceforge.net/projects/numpy/files/NumPy/1.6.2/, release notes
> are copied below.
>
> Thanks to everyone who contributed to this release.
>
> Enjoy,
> The NumPy developers
>
>
>
> =========================
> NumPy 1.6.2 Release Notes
> =========================
>
> This is a bugfix release in the 1.6.x series. Due to the delay of the
> NumPy
> 1.7.0 release, this release contains far more fixes than a regular NumPy
> bugfix
> release. It also includes a number of documentation and build
> improvements.
>
>
> ``numpy.core`` issues fixed
> ---------------------------
>
> #2063 make unique() return consistent index
> #1138 allow creating arrays from empty buffers or empty slices
> #1446 correct note about correspondence vstack and concatenate
> #1149 make argmin() work for datetime
> #1672 fix allclose() to work for scalar inf
> #1747 make np.median() work for 0-D arrays
> #1776 make complex division by zero to yield inf properly
> #1675 add scalar support for the format() function
> #1905 explicitly check for NaNs in allclose()
> #1952 allow floating ddof in std() and var()
> #1948 fix regression for indexing chararrays with empty list
> #2017 fix type hashing
> #2046 deleting array attributes causes segfault
> #2033 a**2.0 has incorrect type
> #2045 make attribute/iterator_element deletions not segfault
> #2021 fix segfault in searchsorted()
> #2073 fix float16 __array_interface__ bug
>
>
> ``numpy.lib`` issues fixed
> --------------------------
>
> #2048 break reference cycle in NpzFile
> #1573 savetxt() now handles complex arrays
> #1387 allow bincount() to accept empty arrays
> #1899 fixed histogramdd() bug with empty inputs
> #1793 fix failing npyio test under py3k
> #1936 fix extra nesting for subarray dtypes
> #1848 make tril/triu return the same dtype as the original array
> #1918 use Py_TYPE to access ob_type, so it works also on Py3
>
>
> ``numpy.f2py`` changes
> ----------------------
>
> ENH: Introduce new options extra_f77_compiler_args and
> extra_f90_compiler_args
> BLD: Improve reporting of fcompiler value
> BUG: Fix f2py test_kind.py test
>
>
> ``numpy.poly`` changes
> ----------------------
>
> ENH: Add some tests for polynomial printing
> ENH: Add companion matrix functions
> DOC: Rearrange the polynomial documents
> BUG: Fix up links to classes
> DOC: Add version added to some of the polynomial package modules
> DOC: Document xxxfit functions in the polynomial package modules
> BUG: The polynomial convenience classes let different types interact
> DOC: Document the use of the polynomial convenience classes
> DOC: Improve numpy reference documentation of polynomial classes
> ENH: Improve the computation of polynomials from roots
> STY: Code cleanup in polynomial [*]fromroots functions
> DOC: Remove references to cast and NA, which were added in 1.7
>
>
> ``numpy.distutils`` issues fixed
> -------------------------------
>
> #1261 change compile flag on AIX from -O5 to -O3
> #1377 update HP compiler flags
> #1383 provide better support for C++ code on HPUX
> #1857 fix build for py3k + pip
> BLD: raise a clearer warning in case of building without cleaning up
> first
> BLD: follow build_ext coding convention in build_clib
> BLD: fix up detection of Intel CPU on OS X in system_info.py
> BLD: add support for the new X11 directory structure on Ubuntu & co.
> BLD: add ufsparse to the libraries search path.
> BLD: add 'pgfortran' as a valid compiler in the Portland Group
> BLD: update version match regexp for IBM AIX Fortran compilers.
>
>
> ``numpy.random`` issues fixed
> -----------------------------
>
> BUG: Use npy_intp instead of long in mtrand
>
>
>
Thanks Ralf.
Chuck
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