Hello, I am pleased to announce the first release candidate for numpy 1.8.2, a pure bugfix release for the 1.8.x series. https://sourceforge.net/projects/numpy/files/NumPy/1.8.2rc1/ If no regressions show up the final release is planned this weekend. The upgrade is recommended for all users of the 1.8.x series. Following issues have been fixed: * gh-4836: partition produces wrong results for multiple selections in equal ranges * gh-4656: Make fftpack._raw_fft threadsafe * gh-4628: incorrect argument order to _copyto in in np.nanmax, np.nanmin * gh-4613: Fix lack of NULL check in array_richcompare * gh-4642: Hold GIL for converting dtypes types with fields * gh-4733: fix np.linalg.svd(b, compute_uv=False) * gh-4853: avoid unaligned simd load on reductions on i386 * gh-4774: avoid unaligned access for strided byteswap * gh-650: Prevent division by zero when creating arrays from some buffers * gh-4602: ifort has issues with optimization flag O2, use O1 Source tarballs, windows installers and release notes can be found at https://sourceforge.net/projects/numpy/files/NumPy/1.8.2rc1/ Cheers, Julian Taylor
On 8/5/2014 12:45 PM, Julian Taylor wrote:
Hello,
I am pleased to announce the first release candidate for numpy 1.8.2, a pure bugfix release for the 1.8.x series. https://sourceforge.net/projects/numpy/files/NumPy/1.8.2rc1/
If no regressions show up the final release is planned this weekend. The upgrade is recommended for all users of the 1.8.x series.
Following issues have been fixed: * gh-4836: partition produces wrong results for multiple selections in equal ranges * gh-4656: Make fftpack._raw_fft threadsafe * gh-4628: incorrect argument order to _copyto in in np.nanmax, np.nanmin * gh-4613: Fix lack of NULL check in array_richcompare * gh-4642: Hold GIL for converting dtypes types with fields * gh-4733: fix np.linalg.svd(b, compute_uv=False) * gh-4853: avoid unaligned simd load on reductions on i386 * gh-4774: avoid unaligned access for strided byteswap * gh-650: Prevent division by zero when creating arrays from some buffers * gh-4602: ifort has issues with optimization flag O2, use O1
Source tarballs, windows installers and release notes can be found at https://sourceforge.net/projects/numpy/files/NumPy/1.8.2rc1/
Cheers, Julian Taylor
Hello, thank you. Looks good. All builds and tests pass on Windows (using msvc/MKL). Any chance gh-4722 can make it into the release? Fix seg fault converting empty string to object <https://github.com/numpy/numpy/pull/4722> Christoph
On 05.08.2014 22:32, Christoph Gohlke wrote:
On 8/5/2014 12:45 PM, Julian Taylor wrote:
Hello,
I am pleased to announce the first release candidate for numpy 1.8.2, a pure bugfix release for the 1.8.x series. https://sourceforge.net/projects/numpy/files/NumPy/1.8.2rc1/
If no regressions show up the final release is planned this weekend. The upgrade is recommended for all users of the 1.8.x series.
Following issues have been fixed: * gh-4836: partition produces wrong results for multiple selections in equal ranges * gh-4656: Make fftpack._raw_fft threadsafe * gh-4628: incorrect argument order to _copyto in in np.nanmax, np.nanmin * gh-4613: Fix lack of NULL check in array_richcompare * gh-4642: Hold GIL for converting dtypes types with fields * gh-4733: fix np.linalg.svd(b, compute_uv=False) * gh-4853: avoid unaligned simd load on reductions on i386 * gh-4774: avoid unaligned access for strided byteswap * gh-650: Prevent division by zero when creating arrays from some buffers * gh-4602: ifort has issues with optimization flag O2, use O1
Source tarballs, windows installers and release notes can be found at https://sourceforge.net/projects/numpy/files/NumPy/1.8.2rc1/
Cheers, Julian Taylor
Hello,
thank you. Looks good. All builds and tests pass on Windows (using msvc/MKL).
Any chance gh-4722 can make it into the release? Fix seg fault converting empty string to object <https://github.com/numpy/numpy/pull/4722>
thanks, I missed that one, pretty simple, I'll add it to the final release.
Hi, On Tue, Aug 5, 2014 at 1:57 PM, Julian Taylor <jtaylor.debian@googlemail.com> wrote:
On 05.08.2014 22:32, Christoph Gohlke wrote:
On 8/5/2014 12:45 PM, Julian Taylor wrote:
Hello,
I am pleased to announce the first release candidate for numpy 1.8.2, a pure bugfix release for the 1.8.x series. https://sourceforge.net/projects/numpy/files/NumPy/1.8.2rc1/
If no regressions show up the final release is planned this weekend. The upgrade is recommended for all users of the 1.8.x series.
Following issues have been fixed: * gh-4836: partition produces wrong results for multiple selections in equal ranges * gh-4656: Make fftpack._raw_fft threadsafe * gh-4628: incorrect argument order to _copyto in in np.nanmax, np.nanmin * gh-4613: Fix lack of NULL check in array_richcompare * gh-4642: Hold GIL for converting dtypes types with fields * gh-4733: fix np.linalg.svd(b, compute_uv=False) * gh-4853: avoid unaligned simd load on reductions on i386 * gh-4774: avoid unaligned access for strided byteswap * gh-650: Prevent division by zero when creating arrays from some buffers * gh-4602: ifort has issues with optimization flag O2, use O1
Source tarballs, windows installers and release notes can be found at https://sourceforge.net/projects/numpy/files/NumPy/1.8.2rc1/
Cheers, Julian Taylor
Hello,
thank you. Looks good. All builds and tests pass on Windows (using msvc/MKL).
Any chance gh-4722 can make it into the release? Fix seg fault converting empty string to object <https://github.com/numpy/numpy/pull/4722>
thanks, I missed that one, pretty simple, I'll add it to the final release.
OSX wheels built and tested and uploaded OK : http://wheels.scikit-image.org https://travis-ci.org/matthew-brett/numpy-atlas-binaries/builds/31747958 Will test against the scipy stack later on today. Cheers, Matthew
On 5 Aug 2014, at 11:27 pm, Matthew Brett <matthew.brett@gmail.com> wrote:
OSX wheels built and tested and uploaded OK :
http://wheels.scikit-image.org
https://travis-ci.org/matthew-brett/numpy-atlas-binaries/builds/31747958
Will test against the scipy stack later on today.
Built and tested against the Fink Python installation under OSX. Seems to resolve one of a couple of f2py test errors appearing with 1.8.1 on Python 3.3 and 3.4: ====================================================================== ERROR: test_return_real.TestCReturnReal.test_all ---------------------------------------------------------------------- Traceback (most recent call last): File "/sw/lib/python3.4/site-packages/nose/case.py", line 382, in setUp try_run(self.inst, ('setup', 'setUp')) File "/sw/lib/python3.4/site-packages/nose/util.py", line 470, in try_run return func() File "/sw/lib/python3.4/site-packages/numpy/f2py/tests/util.py", line 348, in setUp module_name=self.module_name) File "/sw/lib/python3.4/site-packages/numpy/f2py/tests/util.py", line 74, in wrapper memo[key] = func(*a, **kw) File "/sw/lib/python3.4/site-packages/numpy/f2py/tests/util.py", line 163, in build_code module_name=module_name) File "/sw/lib/python3.4/site-packages/numpy/f2py/tests/util.py", line 74, in wrapper memo[key] = func(*a, **kw) File "/sw/lib/python3.4/site-packages/numpy/f2py/tests/util.py", line 144, in build_module __import__(module_name) ImportError: No module named ‘c_ext_return_real' is gone on 3.4 now but still present on 3.3. Two errors of this kind (with different numbers) remain: ERROR: test_return_real.TestF90ReturnReal.test_all ---------------------------------------------------------------------- Traceback (most recent call last): File "/sw/lib/python3.4/site-packages/nose/case.py", line 382, in setUp try_run(self.inst, ('setup', 'setUp')) File "/sw/lib/python3.4/site-packages/nose/util.py", line 470, in try_run return func() File "/sw/lib/python3.4/site-packages/numpy/f2py/tests/util.py", line 348, in setUp module_name=self.module_name) File "/sw/lib/python3.4/site-packages/numpy/f2py/tests/util.py", line 74, in wrapper memo[key] = func(*a, **kw) File "/sw/lib/python3.4/site-packages/numpy/f2py/tests/util.py", line 163, in build_code module_name=module_name) File "/sw/lib/python3.4/site-packages/numpy/f2py/tests/util.py", line 74, in wrapper memo[key] = func(*a, **kw) File "/sw/lib/python3.4/site-packages/numpy/f2py/tests/util.py", line 144, in build_module __import__(module_name) ImportError: No module named ‘_test_ext_module_5415' NumPy version 1.8.2rc1 NumPy is installed in /sw/lib/python3.4/site-packages/numpy Python version 3.4.1 (default, Aug 3 2014, 21:02:44) [GCC 4.2.1 Compatible Apple LLVM 5.1 (clang-503.0.40)] nose version 1.3.3 Cheers, Derek
Hi, On Tue, Aug 5, 2014 at 2:27 PM, Matthew Brett <matthew.brett@gmail.com> wrote:
Hi,
On Tue, Aug 5, 2014 at 1:57 PM, Julian Taylor <jtaylor.debian@googlemail.com> wrote:
On 05.08.2014 22:32, Christoph Gohlke wrote:
On 8/5/2014 12:45 PM, Julian Taylor wrote:
Hello,
I am pleased to announce the first release candidate for numpy 1.8.2, a pure bugfix release for the 1.8.x series. https://sourceforge.net/projects/numpy/files/NumPy/1.8.2rc1/
If no regressions show up the final release is planned this weekend. The upgrade is recommended for all users of the 1.8.x series.
Following issues have been fixed: * gh-4836: partition produces wrong results for multiple selections in equal ranges * gh-4656: Make fftpack._raw_fft threadsafe * gh-4628: incorrect argument order to _copyto in in np.nanmax, np.nanmin * gh-4613: Fix lack of NULL check in array_richcompare * gh-4642: Hold GIL for converting dtypes types with fields * gh-4733: fix np.linalg.svd(b, compute_uv=False) * gh-4853: avoid unaligned simd load on reductions on i386 * gh-4774: avoid unaligned access for strided byteswap * gh-650: Prevent division by zero when creating arrays from some buffers * gh-4602: ifort has issues with optimization flag O2, use O1
Source tarballs, windows installers and release notes can be found at https://sourceforge.net/projects/numpy/files/NumPy/1.8.2rc1/
Cheers, Julian Taylor
Hello,
thank you. Looks good. All builds and tests pass on Windows (using msvc/MKL).
Any chance gh-4722 can make it into the release? Fix seg fault converting empty string to object <https://github.com/numpy/numpy/pull/4722>
thanks, I missed that one, pretty simple, I'll add it to the final release.
OSX wheels built and tested and uploaded OK :
http://wheels.scikit-image.org
https://travis-ci.org/matthew-brett/numpy-atlas-binaries/builds/31747958
OSX wheel tested OK against current scipy stack for system Python, python.org Python, homebrew, macports: https://travis-ci.org/matthew-brett/scipy-stack-osx-testing/builds/31756325 Cheers, Matthew
All Theano tests work. thanks! Fred On Tue, Aug 5, 2014 at 8:46 PM, Matthew Brett <matthew.brett@gmail.com> wrote:
Hi,
On Tue, Aug 5, 2014 at 2:27 PM, Matthew Brett <matthew.brett@gmail.com> wrote:
Hi,
On Tue, Aug 5, 2014 at 1:57 PM, Julian Taylor <jtaylor.debian@googlemail.com> wrote:
On 05.08.2014 22:32, Christoph Gohlke wrote:
On 8/5/2014 12:45 PM, Julian Taylor wrote:
Hello,
I am pleased to announce the first release candidate for numpy 1.8.2, a pure bugfix release for the 1.8.x series. https://sourceforge.net/projects/numpy/files/NumPy/1.8.2rc1/
If no regressions show up the final release is planned this weekend. The upgrade is recommended for all users of the 1.8.x series.
Following issues have been fixed: * gh-4836: partition produces wrong results for multiple selections in equal ranges * gh-4656: Make fftpack._raw_fft threadsafe * gh-4628: incorrect argument order to _copyto in in np.nanmax, np.nanmin * gh-4613: Fix lack of NULL check in array_richcompare * gh-4642: Hold GIL for converting dtypes types with fields * gh-4733: fix np.linalg.svd(b, compute_uv=False) * gh-4853: avoid unaligned simd load on reductions on i386 * gh-4774: avoid unaligned access for strided byteswap * gh-650: Prevent division by zero when creating arrays from some buffers * gh-4602: ifort has issues with optimization flag O2, use O1
Source tarballs, windows installers and release notes can be found at https://sourceforge.net/projects/numpy/files/NumPy/1.8.2rc1/
Cheers, Julian Taylor
Hello,
thank you. Looks good. All builds and tests pass on Windows (using msvc/MKL).
Any chance gh-4722 can make it into the release? Fix seg fault converting empty string to object <https://github.com/numpy/numpy/pull/4722>
thanks, I missed that one, pretty simple, I'll add it to the final release.
OSX wheels built and tested and uploaded OK :
http://wheels.scikit-image.org
https://travis-ci.org/matthew-brett/numpy-atlas-binaries/builds/31747958
OSX wheel tested OK against current scipy stack for system Python, python.org Python, homebrew, macports:
https://travis-ci.org/matthew-brett/scipy-stack-osx-testing/builds/31756325
Cheers,
Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
participants (5)
-
Christoph Gohlke -
Derek Homeier -
Frédéric Bastien -
Julian Taylor -
Matthew Brett