Bug#647197: ITP: python-snappy -- Python library for the snappy compression library from Google.

2011-10-31 Thread XuZhiXiang
Package: wnpp
Severity: wishlist
Owner: XuZhiXiang shell909...@gmail.com

* Package name: python-snappy
  Version : 0.3.2
  Upstream Author : Andres Moreira and...@andresmoreira.com
* URL : http://github.com/andrix/python-snappy
* License : BSD
  Programming Lang: C, Python
  Description : Python library for the snappy compression library from 
Google.

 Snappy is a compression/decompression library. It does not aim for maximum
 compression, or compatibility with any other compression library; instead, it
 aims for very high speeds and reasonable compression. For instance, compared
 to the fastest mode of zlib, Snappy is an order of magnitude faster for most
 inputs, but the resulting compressed files are anywhere from 20% to 100%
 bigger. On a single core of a Core i7 processor in 64-bit mode, Snappy
 compresses at about 250 MB/sec or more and decompresses at about 500 MB/sec
 or more.
 .
 Snappy is widely used inside Google, in everything from BigTable and MapReduce
 to our internal RPC systems. (Snappy has previously been referred to as
 “Zippy” in some presentations and the likes.)
 .
 python-snappy is Python library for the snappy compression library from Google.



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Bug#637892: ITP: python-formalchemy -- auto-generation and customizable form

2011-08-15 Thread XuZhiXiang
Package: wnpp
Severity: wishlist
Owner: XuZhiXiang shell909...@gmail.com

  I'm a new packager in debian, and I wanna make this package

* Package name: python-formalchemy
  Version : 1.4.1
  Upstream Author : Alexandre Conrad, Jonathan Ellis, Gaël Pasgrimaud 
formalchemy at googlegroups com
* URL : http://docs.formalchemy.org/
* License : MIT
  Programming Lang: Python
  Description : auto-generation and customizable form

FormAlchemy  greatly speeds development  with SQLAlchemy  mapped classes
(models)  in a  HTML forms  environment.  It also  provides support  for
CouchDB and a Pylons administration interface.

FormAlchemy eliminates  boilerplate by autogenerating  HTML input fields
From a given model. FormAlchemy will try to figure out what kind of HTML
code  should be  returned by  introspecting the  model's  properties and
generate  ready-to-use   HTML  code   that  will  fit   the  developer's
application.

Of course,  FormAlchemy can't figure out everything,  i.e, the developer
might want  to display only  a few columns  from the given  model. Thus,
FormAlchemy is also highly customizable.


  By the way, this package seems in requested packages list. here is the
bug. http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=526936

  As a new maintainer, I'm not so sure what need to do next, any help will
be appreciated.



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Bug#602393: ITP: python-greenlet -- a spin-off of Stackless, a version of CPython that supports micro-threads called tasklets

2010-11-04 Thread XuZhiXiang
Package: wnpp
Severity: wishlist
Owner: XuZhiXiang shell909...@gmail.com

* Package name: python-greenlet
  Version : 0.3.1
  Upstream Author : Kyle Ambroff k...@ambroff.com
* URL : http://bitbucket.org/ambroff/greenlet
* License : MIT
  Programming Lang: Python, C
  Description : a spin-off of Stackless, a version of CPython that supports 
micro-threads called tasklets

The greenlet package is a spin-off of Stackless, a version of CPython that
supports micro-threads called tasklets. Tasklets run pseudo-concurrently
(typically in a single or a few OS-level threads) and are synchronized with
data exchanges on channels.

A greenlet, on the other hand, is a still more primitive notion of micro-
thread with no implicit scheduling; coroutines, in other words. This is
useful when you want to control exactly when your code runs. You can build
custom scheduled micro-threads on top of greenlet; however, it seems that
greenlets are useful on their own as a way to make advanced control flow
structures. For example, we can recreate generators; the difference with
Python's own generators is that our generators can call nested functions and
the nested functions can yield values too. Additionally, you don't need a
yield keyword. See the example in tests/test_generator.py.

Greenlets are provided as a C extension module for the regular unmodified
interpreter.

Greenlets are lightweight coroutines in-process concurrent programming. This
package is the py.magic.greenlet module from the py lib.



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