Re: [Numpy-discussion] Fwd: Windows wheels for testing

Sat, 13 Feb 2016 07:43:11 -0800

Have you all conferred with C Gohlke on his Windows build bot? I've never seen a description of his recipes. 
The MKL linking aside, his binaries always seem to work flawlessly.

- Ray


At 11:16 PM 2/12/2016, you wrote:
AFAIK the vcvarsall.bat error occurs when your MSVC directories aren't properly linked in your system registry, so Python cannot find the file. This is not a numpy-specific issue, so I certainly would agree that that failure is not blocking.
Other than that, this build contains the mingw32.lib bug that I fixed <https://github.com/numpy/numpy/pull/7119>here, but other than that, everything else passes on relevant Python versions for 32-bit!
On Sat, Feb 13, 2016 at 4:23 AM, Matthew Brett <<mailto:matthew.br...@gmail.com>matthew.br...@gmail.com> wrote: On Fri, Feb 12, 2016 at 8:18 PM, R Schumacher <<mailto:r...@blue-cove.com>r...@blue-cove.com> wrote: 
> At 03:45 PM 2/12/2016, you wrote:
>>
>> PS C:\tmp> c:\Python35\python -m venv np-testing
>> PS C:\tmp> .\np-testing\Scripts\Activate.ps1
>> (np-testing) PS C:\tmp> pip install -f
>> <https://nipy.bic.berkeley.edu/scipy_installers/atlas_builds>https://nipy.bic.berkeley.edu/scipy_installers/atlas_builds numpy nose 
>
>
> C:\Python34\Scripts>pip install  "D:\Python
> distros\numpy-1.10.4-cp34-none-win_amd64.whl"
> Unpacking d:\python distros\numpy-1.10.4-cp34-none-win_amd64.whl
> Installing collected packages: numpy
> Successfully installed numpy
> Cleaning up...
>
> C:\Python34\Scripts>..\python
> Python 3.4.2 (v3.4.2:ab2c023a9432, Oct 6 2014, 22:16:31) [MSC v.1600 64 bit 
> (AMD64)] on win32
> Type "help", "copyright", "credits" or "license" for more information.
>>>> import numpy
>>>> numpy.test()
> Running unit tests for numpy
> NumPy version 1.10.4
> NumPy relaxed strides checking option: False
> NumPy is installed in C:\Python34\lib\site-packages\numpy
> Python version 3.4.2 (v3.4.2:ab2c023a9432, Oct  6 2014, 22:16:31) [MSC
> v.1600 64 bit (AMD64)]
> nose version 1.3.7
> .......................F....S........................................................................................... > .....................................................................................................S.................. > ..........................................................................................C:\Python34\lib\unittest\case. > py:162: DeprecationWarning: using a non-integer number instead of an integer 
> will result in an error in the future
>Â  Â callable_obj(*args, **kwargs)
> ........C:\Python34\lib\unittest\case.py:162: DeprecationWarning: using a
> non-integer number instead of an integer will
> result in an error in the future
>Â  Â callable_obj(*args, **kwargs)
> C:\Python34\lib\unittest\case.py:162: DeprecationWarning: using a
> non-integer number instead of an integer will result i
> n an error in the future
>Â  Â callable_obj(*args, **kwargs)
> .......................................................................................S................................ > ........................................................................................................................ > ..........................................................................C:\Python34\lib\unittest\case.py:162: 
> Deprecat
> ionWarning: using a non-integer number instead of an integer will result in
> an error in the future
>Â  Â callable_obj(*args, **kwargs)
> ..C:\Python34\lib\unittest\case.py:162: DeprecationWarning: using a
> non-integer number instead of an integer will result
>Â  in an error in the future
>Â  Â callable_obj(*args, **kwargs)
> C:\Python34\lib\unittest\case.py:162: DeprecationWarning: using a
> non-integer number instead of an integer will result i
> n an error in the future
>Â  Â callable_obj(*args, **kwargs)
> C:\Python34\lib\unittest\case.py:162: DeprecationWarning: using a
> non-integer number instead of an integer will result i
> n an error in the future
>Â  Â callable_obj(*args, **kwargs)
> C:\Python34\lib\unittest\case.py:162: DeprecationWarning: using a
> non-integer number instead of an integer will result i
> n an error in the future
>Â  Â callable_obj(*args, **kwargs)
> ........................................................................................................................ > ........................................................................................................................ > ........................................................................................................................ > ........................................................................................................................ > ........................................................................................................................ > ........................................................................................................................ > ........................................................................................................................ > ........................................................................................................................ > ........................................................................................................................ > ........................................................................................................................ > ........................................................................................................................ > ...............................................K.........................................................C:\Python34\lib 
> \site-packages\numpy\ma\core.py:989: RuntimeWarning: invalid value
> encountered in multiply
>Â  Â masked_da = umath.multiply(m, da)
> C:\Python34\lib\site-packages\numpy\ma\core.py:989: RuntimeWarning: invalid
> value encountered in multiply
>Â  Â masked_da = umath.multiply(m, da)
> ........................................................................................................................ > ..................C:\Python34\lib\site-packages\numpy\core\tests\test_numerictypes.py:372: 
> DeprecationWarning: using a n
> on-integer number instead of an integer will result in an error in the
> future
>Â  Â return self.ary['f0', 'f1']
> ........................................................................................................................ > .............................................................................................K.......................... > ........................................................................................................................ > ........................................................................................................................ > ........................................................................................................................ > ....K..K................................K...SK.S.......S................................................................ > ..................ES..SS................................................................................................ > ........................................................................................................................ > ........................................................................................................................ > ........................................................................................................................ > ........................................................................................................................ > ................................................................................S....................................... > ........................................................................................................................ > ........................................................................................................................ > ...........................................K.................K.......................................................... > ........................................................................................................................ > ........................................................................................................................ > ........................................................................................................................ > ...........................................S............................................................................ > ..........................................S............................................................C:\Python34\lib\s 
> ite-packages\numpy\ma\core.py:4089: UserWarning: Warning: converting a
> masked element to nan.
>Â  Â warnings.warn("Warning: converting a masked element to nan.")
> ..............................................................................................................C:\Python3 
> 4\lib\site-packages\numpy\ma\core.py:5116: RuntimeWarning: invalid value
> encountered in power
>Â  Â np.power(out, 0.5, out=out, casting='unsafe')
> ........................................................................................................................ > ........................................................................................................................ > ........................................................................................................................ > ........................................................................................................................ > ........................................................................................................................ > ........................................................................................................................ > ........................................................................................................................ 
> ..........................
> ======================================================================
> ERROR: test_compile1 (test_system_info.TestSystemInfoReading)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
>Â  Â File
> "C:\Python34\lib\site-packages\numpy\distutils\tests\test_system_info.py",
> line 182, in test_compile1
>Â  Â  Â c.compile([os.path.basename(self._src1)], output_dir=self._dir1)
>Â  Â File "C:\Python34\lib\distutils\msvc9compiler.py", line 460, in compile
>Â  Â  Â self.initialize()
>Â Â File "C:\Python34\lib\site-packages\numpy\distutils\msvccompiler.py", line 
> 17, in initialize
>Â  Â  Â distutils.msvccompiler.MSVCCompiler.initialize(self, plat_name)
>Â Â File "C:\Python34\lib\distutils\msvc9compiler.py", line 371, in initialize 
>Â  Â  Â vc_env = query_vcvarsall(VERSION, plat_spec)
>Â  Â File "C:\Python34\lib\distutils\msvc9compiler.py", line 259, in
> query_vcvarsall
>Â  Â  Â raise DistutilsPlatformError("Unable to find vcvarsall.bat")
> distutils.errors.DistutilsPlatformError: Unable to find vcvarsall.bat
>
> ======================================================================
> FAIL: test_blasdot.test_blasdot_used
> ----------------------------------------------------------------------
> Traceback (most recent call last):
>Â  Â File "C:\Python34\lib\site-packages\nose\case.py", line 198, in runTest
>Â  Â  Â self.test(*self.arg)
>Â  Â File "C:\Python34\lib\site-packages\numpy\testing\decorators.py", line
> 146, in skipper_func
>Â  Â  Â return f(*args, **kwargs)
>Â  Â File "C:\Python34\lib\site-packages\numpy\core\tests\test_blasdot.py",
> line 31, in test_blasdot_used
>Â  Â  Â assert_(dot is _dotblas.dot)
>Â Â File "C:\Python34\lib\site-packages\numpy\testing\utils.py", line 53, in 
> assert_
>Â  Â  Â raise AssertionError(smsg)
> AssertionError
>
> ----------------------------------------------------------------------
> Ran 5575 tests in 32.042s
>
> FAILED (KNOWNFAIL=8, SKIP=12, errors=1, failures=1)
> <nose.result.TextTestResult run=5575 errors=1 failures=1>

Great - thanks - I got the same couple of failures - I believe they
are benign...

Matthew
_______________________________________________
NumPy-Discussion mailing list
<mailto:NumPy-Discussion@scipy.org>NumPy-Discussion@scipy.org
https://mail.scipy.org/mailman/listinfo/numpy-discussion


_______________________________________________
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
https://mail.scipy.org/mailman/listinfo/numpy-discussion

_______________________________________________
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
https://mail.scipy.org/mailman/listinfo/numpy-discussion

Reply via email to