[SciPy-User] [Numpy-discussion] ANN: NumPy 1.6.2 release candidate 1

Benjamin Root ben.root@ou....
Fri May 11 09:05:17 CDT 2012


On Sat, May 5, 2012 at 2:15 PM, Ralf Gommers <ralf.gommers@googlemail.com>wrote:

> Hi,
>
> I'm pleased to announce the availability of the first release candidate 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/
>
> Please test this release and report any issues on the numpy-discussion
> mailing list.
>
> Cheers,
> Ralf
>
>
>
> ``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.
>
>
>
I just noticed that my fix for the np.gradient() function isn't listed.
https://github.com/numpy/numpy/pull/167

Not critical, but if a second rc is needed for any reason, it would be nice
to have that in there.

Thanks!
Ben Root
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://mail.scipy.org/pipermail/scipy-user/attachments/20120511/ace09dac/attachment.html 


More information about the SciPy-User mailing list