Bug#639347: RFA: psyco -- Python specializing compiler

2011-08-26 Thread Alexandre Fayolle
Package: wnpp
Severity: normal

I request an adopter for the psyco package, as I no longer use the package and
cannot maintain it properly anymore. 

Due to lack of upstream support, maybe the package should be removed from
Debian altogether, as supporting python >> 2.5 will require significant effort.
Any feedback on this regard is welcome. 

The package description is:
 Psyco lets you run your existing Python software much faster, with no
 change in your source.
 .
 Think of Psyco as a kind of just-in-time (JIT) compiler, a little bit
 like Java's, that emit machine code on the fly instead of
 interpreting your Python program step by step. The result is that
 your unmodified Python programs run faster.
 .
 The plan for the next release is to include a fast low-level
 interpreter that can be used on non-Intel processors. It will finally
 make Psyco portable -- although of course not as fast as it could
 possibly be if it could emit real machine code.



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Re: Debian scotch Python egg?

2011-08-26 Thread Bernd Zeimetz
Hi,

> I'm seeking guidance from a source of experience and authority on the correct 
> way to turn my Python eggs into Debian packages. My interest in doing this is 
> that I'm a committed Debian (and Ubuntu) user, also that I do most of my 
> development in Python. *Most importantly, I want to be in a position whereby 
> my successful personal Python projects are in good shape to be contributed to 
> the public arena.* If I get to a successful outcome, I'll be very happy to 
> document what I've done and learnt on my website for others to refer to. 
> 
> The central question I'm trying to answer is this:
> 
> Q.) If I already have a Python sdist/egg which can be installed with 
> setuptools, can I just roll the Debian package around that and use setuptools 
> during the install/remove process?

no, you need to build it from your source, usgin setup.py. We don't ship
.egg files in Debian. Just have a look at the various examples on how to
package a Python modules properly in the team's svn repository.


-- 
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