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Thu Apr 17 20:15:51 CEST 2014 · https://mail.python.org/pipermail/python-dev/2014-April/134100.html

I think he meant modifying the source files themselves for debugging
purposes (e.g. putting print statements in itertools.py).

2014-04-17 14:09 GMT-04:00 Brett Cannon <bcannon at gmail.com>:

>
>
> On Thu Apr 17 2014 at 1:34:23 PM, Jurko Gospodnetić <
> jurko.gospodnetic at pke.hr> wrote:
>
>>    Hi.
>>
>> On 14.4.2014. 23:51, Brett Cannon wrote:
>> > Now the question is whether the maintenance cost of having to rebuild
>> > Python for a select number of stdlib modules is enough to warrant
>> > putting in the effort to make this work.
>>
>>    I would really love to have better startup times in production, but I
>> would also really hate to lose the ability to hack around in stdlib
>> sources during development just to get better startup performance.
>>
>>    In general, what I really like about using Python for software
>> development is the ability to open any stdlib file and easily go poking
>> around using stuff like 'import pdb;pdb.set_trace()' or simple print
>> statements. Researching mysterious behaviour is generally much much
>> MUCH! easier (read: takes less hours/days/weeks) if it ends up leading
>> into a stdlib Python module than if it takes you down into the bowels of
>> some C module (think zipimport.c *grin*). Not to mention the effect that
>> being able to quickly resolve a mystery by hacking on some Python
>> internals leaves you feeling very satisfied, while having to entrench
>> yourself in those internals for a long time just to find out you've made
>> something foolish on your end leaves you feeling exhausted at best.
>>
>
> Freezing modules does not affect the ability to use gdb. And as long as
> you set the appropriate __file__ values then tracebacks will contain even
> the file line and location.
>
> -Brett
>
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[Python-Dev] this is what happens if you freeze all the modules required for startup