python-decorator 4.3.0-1.1build1 source package in Ubuntu

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python-decorator (4.3.0-1.1build1) focal; urgency=medium

  * No-change rebuild to generate dependencies on python2.

 -- Matthias Klose <email address hidden>  Tue, 17 Dec 2019 12:42:01 +0000

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

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Focal: [FULLYBUILT] amd64

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python-decorator_4.3.0.orig.tar.gz 33.0 KiB c39efa13fbdeb4506c476c9b3babf6a718da943dab7811c206005a4a956c080c
python-decorator_4.3.0-1.1build1.debian.tar.xz 4.0 KiB 342baebb663081ac51306b8b1b10de01087af17c0a05183766f9837d9ea97008
python-decorator_4.3.0-1.1build1.dsc 2.2 KiB 0d1afd097b47644aad3cb6453c54b3291acb15a96b52b345644126a315e7731d

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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.