[Cython] Slow traceback reconstruction in IPython between 0.15.1 and master

[Wes McKinney]

On Thu, Jan 26, 2012 at 2:21 PM, mark florisson
<markflorisson88 at gmail.com> wrote:
> On 26 January 2012 19:10, Fernando Perez <fperez.net at gmail.com> wrote:
>> On Thu, Jan 26, 2012 at 10:37 AM, mark florisson
>> <markflorisson88 at gmail.com> wrote:
>>> On a side note, ipython is not something I usually trust to test
>>> things out, as it gets things wrong sometimes which can seriously make
>>> you question your own sanity.
>>
>> I should note that we'd love to know specifics about problems that
>> severe.  Without a concrete report it's impossible for us to fix a
>> problem, unfortunately, and a vague statement like this only serves to
>> spread the notion "ipython is bad, for reasons unspecified".
>
> Apologies, it was indeed a rather vague comment. I had some issues
> with pasting unicode characters a few years back that would get
> incorrect codepoints in ipython but not regular python, but I'm afraid
> I don't have any concrete report. As such I withdraw my comment, I
> just wanted to mention that if something smells iffy it might be a
> good idea to resort to regular python.
>
>> Also, since I know some core Cython devs are also heavy sage users,
>> and the sage command-line is actually ipython, having an issue at the
>> intersection of cython/ipython is problematic for all sage users
>> working at the terminal.  So we'd really like to make the
>> cython/ipython combo as robust as possible.
>>
>> I certainly don't expect everyone to use ipython, and obviously when I
>> see something that looks really bizarre, I double-check with plain
>> Python first, as ultimately that is our reference and regressions from
>> plain python are automatically bugs for us.
>>
>> But I have to say that it's been a very long time since I have
>> encountered a situation where ipython produces something completely
>> absurd, and if it happens to you, by all means please let us know, so
>> we can try to fix it.
>>
>> Best,
>>
>> f
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To reproduce the problem you'll want to use the specific pandas SHA
(99e2eec) that I referenced there. The pandas bug in the issue has
been fixed since then.