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python-decorator package

python-decorator 4.3.0-1.1 source package in Ubuntu

Changelog

python-decorator (4.3.0-1.1) unstable; urgency=medium

  * Non-maintainer upload.

  [ Niels Thykier ]
  * Declare that python-decorator does not need (fake)root by
    setting Rules-Requires-Root to "no".

  [ Helmut Grohne ]
  * Mark all packages Multi-Arch: foreign (closes: #892949)

 -- Niels Thykier <email address hidden>  Sun, 30 Dec 2018 22:37:21 +0000

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

Disco: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
python-decorator_4.3.0-1.1.dsc 2.1 KiB 82f8a705aa678ab1bb84206a6a7b613a03ba79d36c5756884d6c0abfc17c8b62
python-decorator_4.3.0.orig.tar.gz 33.0 KiB c39efa13fbdeb4506c476c9b3babf6a718da943dab7811c206005a4a956c080c
python-decorator_4.3.0-1.1.debian.tar.xz 3.9 KiB ee117e201ea80d4d3d8899f483011dbeb2e0a8a2806682e794c1e8a132725379

Available diffs

No changes file available.

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.