[SciPy-Dev] Win32 binaries for Python 3.3, 3.4?

[Matthew Brett]

Hi,

On Sat, May 17, 2014 at 7:43 AM, Ralf Gommers <ralf.gommers at gmail.com> wrote:
>
>
>
> On Fri, May 16, 2014 at 10:01 PM, Matthew Brett <matthew.brett at gmail.com>
> wrote:
>>
>> Hi guys,
>>
>> Am I right in thinking we don't have binary installers for Pythons 3.3
>> and 3.4 for Scipy 0.14.0?
>
>
> You're right.
>
>>
>> Is this because of the need for VS 10?  [1]
>
>
> This is because my build environment (Wine on OS X) refuses to install
> Python 3.3/3.4, and I have not yet switched to an alternative setup. I think
> Julian built 3.3/3.4 installers on Linux, so it should still be possible
> with Wine.
>
>> Are there plans for these guys?  Can I help?
>
>
> If you'd be willing to fix this situation, that would be fantastic. There's
> a plan on my todo list that says "fix this", but my todo list never seems to
> get shorter......

I built them on Windows, it was a bit ugly, notes here:

https://github.com/numpy/numpy/wiki/building_scipy_superpack

I tested them on a clean virtual machine.  The Python 3.4 test run
found the same intermittent failure that Christoph found here:

http://mail.scipy.org/pipermail/scipy-dev/2013-August/019118.html

Error message:

======================================================================
FAIL: test_windows.test_windowfunc_basics
----------------------------------------------------------------------
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\scipy\signal\tests\test_windows.py",
line 100, in test_windowfunc_basics
    assert_array_almost_equal(w1, w2)
  File "C:\Python34\lib\site-packages\numpy\testing\utils.py", line
811, in assert_array_almost_equal
    header=('Arrays are not almost equal to %d decimals' % decimal))
  File "C:\Python34\lib\site-packages\numpy\testing\utils.py", line
644, in assert_array_compare
    raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 6 decimals

(mismatch 100.0%)
 x: array([ 0.1892781 ,  1.        ,  0.30368426,  0.30368426,  0.06227148,
        0.18297787,  0.30368426])
 y: array([ 1.        ,  0.79697112,  0.51113591,  0.00201155,  0.28611295,
        0.4936433 ,  0.00201155])

It seems to fail in about 2/3 of runs.

Is this benign?

Cheers,

Matthew