Re: [Numpy-discussion] ANN: NumPy 1.6.2 release candidate 1
Am 05.05.2012 20:15, schrieb Ralf Gommers: 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. ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion 1.6.2RC1 builds fine under the following configurations (all of them x86_64): * Ubuntu Lucid 10.4 / Python 2.6.5 / GCC 4.4.3: OK (KNOWNFAIL=3, SKIP=5) * Archlinux (as of today) / Python 3.2.3 / GCC 4.7.0: OK (KNOWNFAIL=5, SKIP=5) * Archlinux (as of today) / Python 2.7.3 / GCC: OK (KNOWNFAIL=3, SKIP=5) Great work! Andreas. ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] ANN: NumPy 1.6.2 release candidate 1
On 06.05.2012, at 8:16AM, Paul Anton Letnes wrote: All tests for 1.6.2rc1 pass on Mac OS X 10.7.3 python 2.7.2 gcc 4.2 (Apple) Passing as well on 10.6 x86_64 and on 10.5.8 ppc with python 2.5.6/2.6.6/2.7.2 Apple gcc 4.0.1, but I am getting one failure on Lion (same with Python 2.5.6+2.6.7): Python version 2.7.3 (default, May 6 2012, 15:05:35) [GCC 4.2.1 Compatible Apple Clang 3.0 (tags/Apple/clang-211.12)] nose version 1.1.2 == FAIL: Test basic arithmetic function errors -- Traceback (most recent call last): File /sw/lib/python2.7/site-packages/numpy/testing/decorators.py, line 215, in knownfailer return f(*args, **kwargs) File /sw/lib/python2.7/site-packages/numpy/core/tests/test_numeric.py, line 323, in test_floating_exceptions lambda a,b:a*b, ft_tiny, ft_tiny) File /sw/lib/python2.7/site-packages/numpy/core/tests/test_numeric.py, line 271, in assert_raises_fpe Type %s did not raise fpe error '%s'. % (ftype, fpeerr)) File /sw/lib/python2.7/site-packages/numpy/testing/utils.py, line 34, in assert_ raise AssertionError(msg) AssertionError: Type type 'numpy.complex64' did not raise fpe error ''. -- Ran 3551 tests in 130.778s FAILED (KNOWNFAIL=3, SKIP=4, failures=1) Cheers, Derek ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
