python-decorator 4.0.2-1 source package in Ubuntu

Changelog

python-decorator (4.0.2-1) unstable; urgency=medium

  * New upstream release
  * Rewrite debian/rules to use dh sequencer and pybuild buildsystem
  * debhelper compat level bumped to 9
  * documentation.py no longer installed
  * debian/watch: use pypi.debian.net redirector
  * Standards-Version bumped to 3.9.6 (no changes needed due to debian/rules
    rewrite)

 -- Piotr Ożarowski <email address hidden>  Sat, 01 Aug 2015 14:45:07 +0200

Upload details

Uploaded by:
Debian Python Modules Team
Uploaded to:
Sid
Original maintainer:
Debian Python Modules Team
Architectures:
all
Section:
python
Urgency:
Medium Urgency

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Builds

Wily: [FULLYBUILT] amd64

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File Size SHA-256 Checksum
python-decorator_4.0.2-1.dsc 2.2 KiB 14e9417a6155b5a23993145e7224a50df56729c66030553e2f74b17c82eee660
python-decorator_4.0.2.orig.tar.gz 63.3 KiB 1a089279d5de2471c47624d4463f2e5b3fc6a2cf65045c39bf714fc461a25206
python-decorator_4.0.2-1.debian.tar.xz 3.4 KiB 60525ddac67d564d2ac6c7c3191f04ff24efa4f84a62a12f5017137f91a00f8b

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Binary packages built by this source

python-decorator: simplify usage of Python decorators by programmers

 Python 2.4 decorators have significantly changed the way Python programs are
 structured.
    * decorators help reduce boilerplate code;
    * decorators help the separation of concerns;
    * decorators enhance readability and maintainability;
    * decorators are very explicit.
 Still, as of now, writing custom decorators correctly requires some
 experience and is not as easy as it could be. For instance, typical
 implementations of decorators involve nested functions and we all know that
 flat is better than nested.
 The aim of the decorator module it to simplify the usage of decorators for
 the average programmer and to popularize decorators usage giving examples of
 useful decorators, such as memoize, tracing, redirecting_stdout, locked, etc.

python3-decorator: simplify usage of Python decorators by programmers

 Python 2.4 decorators have significantly changed the way Python programs are
 structured.
    * decorators help reduce boilerplate code;
    * decorators help the separation of concerns;
    * decorators enhance readability and maintainability;
    * decorators are very explicit.
 Still, as of now, writing custom decorators correctly requires some
 experience and is not as easy as it could be. For instance, typical
 implementations of decorators involve nested functions and we all know that
 flat is better than nested.
 The aim of the decorator module it to simplify the usage of decorators for
 the average programmer and to popularize decorators usage giving examples of
 useful decorators, such as memoize, tracing, redirecting_stdout, locked, etc.