[SciPy-User] ANN: NumPy 1.6.2 released

Ralf Gommers ralf.gommers@googlemail....
Sun May 20 04:34:46 CDT 2012


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
http://sourceforge.net/projects/numpy/files/NumPy/1.6.2/, release notes are
copied below.

Thanks to everyone who contributed to this release.

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
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
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
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