[Numpy-discussion] 1.7 blockers
Ralf Gommers
ralf.gommers@googlemail....
Sun Mar 25 12:07:32 CDT 2012
On Sun, Mar 25, 2012 at 6:48 PM, Charles R Harris <charlesr.harris@gmail.com
> wrote:
>
>
> On Sun, Mar 25, 2012 at 10:33 AM, Ralf Gommers <
> ralf.gommers@googlemail.com> wrote:
>
>>
>>
>> On Sat, Mar 24, 2012 at 10:13 PM, Charles R Harris <
>> charlesr.harris@gmail.com> wrote:
>>
>>> Hi All,
>>>
>>> There several problems with numpy master that need to be fixed before a
>>> release can be considered.
>>>
>>> 1. Datetime on windows with mingw.
>>> 2. Bus error on SPARC, ticket #2076.
>>> 3. NA and real/complex views of complex arrays.
>>>
>>> Number 1 has been proved to be particularly difficult, any help or
>>> suggestions for that would be much appreciated. The current work has been
>>> going in pull request 214 <https://github.com/numpy/numpy/pull/214>.
>>>
>>> This isn't to say that there aren't a ton of other things that need
>>> fixing or that we can skip out on the current stack of pull requests, but I
>>> think it is impossible to consider a release while those three problems are
>>> outstanding.
>>>
>> There's one more ticket that hasn't been looked at AFAIK and that has
>> been keeping the buildbots (except the Linux one) on red:
>> http://projects.scipy.org/numpy/ticket/1755 (floating point errors).
>>
>>
> I don't know what to do about that one.There may be some compiler flags
> that would help.
>
Why do you think this isn't a problem with the implementation? I haven't
tried to look at this in detail, but Python itself does manage to produce a
warning:
>>> 2.0**2048
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
OverflowError: (34, 'Result too large')
>>> import numpy as np
>>> np.power(2.0, 2048)
inf
>>> np.geterr()
{'over': 'warn', 'divide': 'warn', 'invalid': 'warn', 'under': 'ignore'}
Ralf
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://mail.scipy.org/pipermail/numpy-discussion/attachments/20120325/05f6ba5e/attachment.html
More information about the NumPy-Discussion
mailing list