On Sat, Feb 13, 2016 at 9:55 AM, Jonathan Helmus <jjhel...@gmail.com> wrote: > > > On 2/12/16 10:23 PM, Matthew Brett wrote: >> >> On Fri, Feb 12, 2016 at 8:18 PM, R Schumacher <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 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 >>> 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 >>> 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 >>> 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 >>> 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 >>> 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 >>> 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 >>> 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 >>> callable_obj(*args, **kwargs) >>> >>> ........................................................................................................................ >>> >>> ........................................................................................................................ >>> >>> ........................................................................................................................ >>> >>> ........................................................................................................................ >>> >>> ........................................................................................................................ >>> >>> ........................................................................................................................ >>> >>> ........................................................................................................................ >>> >>> ........................................................................................................................ >>> >>> ........................................................................................................................ >>> >>> ........................................................................................................................ >>> >>> ........................................................................................................................ >>> >>> ...............................................K.........................................................C:\Python34\lib >>> \site-packages\numpy\ma\core.py:989: RuntimeWarning: invalid value >>> encountered in multiply >>> masked_da = umath.multiply(m, da) >>> C:\Python34\lib\site-packages\numpy\ma\core.py:989: RuntimeWarning: >>> invalid >>> value encountered in multiply >>> 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 >>> 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. >>> 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 >>> np.power(out, 0.5, out=out, casting='unsafe') >>> >>> ........................................................................................................................ >>> >>> ........................................................................................................................ >>> >>> ........................................................................................................................ >>> >>> ........................................................................................................................ >>> >>> ........................................................................................................................ >>> >>> ........................................................................................................................ >>> >>> ........................................................................................................................ >>> .......................... >>> ====================================================================== >>> ERROR: test_compile1 (test_system_info.TestSystemInfoReading) >>> ---------------------------------------------------------------------- >>> Traceback (most recent call last): >>> File >>> >>> "C:\Python34\lib\site-packages\numpy\distutils\tests\test_system_info.py", >>> line 182, in test_compile1 >>> c.compile([os.path.basename(self._src1)], output_dir=self._dir1) >>> File "C:\Python34\lib\distutils\msvc9compiler.py", line 460, in >>> compile >>> self.initialize() >>> File "C:\Python34\lib\site-packages\numpy\distutils\msvccompiler.py", >>> line >>> 17, in initialize >>> distutils.msvccompiler.MSVCCompiler.initialize(self, plat_name) >>> File "C:\Python34\lib\distutils\msvc9compiler.py", line 371, in >>> initialize >>> vc_env = query_vcvarsall(VERSION, plat_spec) >>> File "C:\Python34\lib\distutils\msvc9compiler.py", line 259, in >>> query_vcvarsall >>> 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): >>> File "C:\Python34\lib\site-packages\nose\case.py", line 198, in >>> runTest >>> self.test(*self.arg) >>> File "C:\Python34\lib\site-packages\numpy\testing\decorators.py", line >>> 146, in skipper_func >>> return f(*args, **kwargs) >>> File "C:\Python34\lib\site-packages\numpy\core\tests\test_blasdot.py", >>> line 31, in test_blasdot_used >>> assert_(dot is _dotblas.dot) >>> File "C:\Python34\lib\site-packages\numpy\testing\utils.py", line 53, >>> in >>> assert_ >>> 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 > > Matthew, > > The wheels seem to work fine in the Python provided by Continuum on > 32-bit Windows. Tested in Python 2.7, 3.3 and 3.4. The only test > errors/failures was the the vcvarsall.bat error on all three versions. Full > tests logs at https://gist.github.com/jjhelmus/de2b34779e83eb37a70f.
Thanks all for testing, that is very helpful, Cheers, Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
