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

[mark florisson]

On 26 January 2012 19:40, Wes McKinney <wesmckinn at gmail.com> wrote:
> 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.
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I get the same as minrk got: TypeError: unhashable type 'dict' .
Anyway, if it's working now (and if other tracebacks are fast (enough)
as they should be), I don't think we have anything to worry about.