On 9/16/2012 3:06 PM, Han Genuit wrote:
> [snip]
>
>> Hello,
>>
>> I ran some compatibility tests on Windows, using
>> numpy-MKL-1.7.x.dev.win-amd64-py2.7 with packages built against
>> numpy-MKL-1.6.2.
>>
>> There are new test failures in scipy, bottleneck, pymc, and mvpa2 of the
>> following type
[snip]
> Hello,
>
> I ran some compatibility tests on Windows, using
> numpy-MKL-1.7.x.dev.win-amd64-py2.7 with packages built against
> numpy-MKL-1.6.2.
>
> There are new test failures in scipy, bottleneck, pymc, and mvpa2 of the
> following types:
>
> IndexError: too many indices
> ValueError: n
On 9/16/2012 12:19 AM, Ondřej Čertík wrote:
> Hi,
>
> I've finally finished review of
>
> https://github.com/numpy/numpy/pull/439
>
> which back-ports all the PRs from master into the release branch and
> pushed it in. Here is the current status of bugs for the 1.7.0
> release:
>
> https://github.c
On Sun, Sep 16, 2012 at 9:19 AM, Ondřej Čertík wrote:
> Hi,
>
> I've finally finished review of
>
> https://github.com/numpy/numpy/pull/439
>
> which back-ports all the PRs from master into the release branch and
> pushed it in. Here is the current status of bugs for the 1.7.0
> release:
>
> https
Hi,
I've finally finished review of
https://github.com/numpy/numpy/pull/439
which back-ports all the PRs from master into the release branch and
pushed it in. Here is the current status of bugs for the 1.7.0
release:
https://github.com/numpy/numpy/issues/396
I believe that for example a lot of
