Yes, it looks fine. There are no failures.

Jason
moorepants.info
+01 530-601-9791

On Thu, Dec 18, 2014 at 11:00 AM, Ankit Vadehrā <[email protected]> wrote:
>
> Hmmm... did not know that.
> I'll check out conda/anaconda next. I got so confused i just built up some
> packages from source manually.
> Anyways, after updation i'm getting the follwog final result, does this
> mean that my tests pass or is something incorrect:
>
> ___________________________ xpassed tests ____________________________
> sympy/core/tests/test_wester.py: test_T10
> sympy/core/tests/test_wester.py: test_V12
> sympy/utilities/tests/test_module_imports.py:
> test_module_imports_are_direct
>
>  tests finished: 5774 passed, 137 skipped, 329 expected to fail,
> 3 expected to fail but passed, in 2893.08 seconds
>
>
> >>There was NO, "DO *NOT* COMMIT...
>
>
>
>
> On Thursday, 18 December 2014 21:25:22 UTC+5:30, Peter Brady wrote:
>>
>> I would also recommend using conda/anaconda.  I've been using it for a
>> over a year now and it's greatly simplified life
>>
>> On Thursday, December 18, 2014 8:41:07 AM UTC-7, Guillaume Gay wrote:
>>>
>>>  Hi,
>>>
>>> Best way to solve all that is to use continuum.io anaconda distribution,
>>>
>>> you'll have a recent stable for all the scipy stack, in 2.7 and 3.4
>>> flavors of python.
>>>
>>> Guillaume
>>> Le 18/12/2014 15:24, Ankit Vadehrā a écrit :
>>>
>>> Nopes.. i think latest is 2.4. And i'm on 2.0.1 .
>>>
>>> Thanks, i'll upgrade and see what happens.
>>> The problem is that the debian repository does not have the newest
>>> versions, ever. And installing with "pip" sometimes fails.
>>> Also,
>>> Do you have any idea how to update matplotlib?
>>> i'm on v 1.1.1 and there's 1.4.2 out. When i try pip it says that my
>>> 'distribute' version is on 0.6.24 and not the 0.6.28 as required, and
>>> theres no way to update to 0.6.28.
>>> not using pip, not through the repo.
>>>
>>> Any Ideas?
>>>
>>> On Thursday, 18 December 2014 19:08:36 UTC+5:30, Peter Brady wrote:
>>>>
>>>> Are you using the latest version of numexpr?
>>>
>>>
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