python-fudge 1.1.0-2 source package in Ubuntu

Changelog

python-fudge (1.1.0-2) unstable; urgency=medium

  * Team upload.
  * Fixed VCS URL (https)
  * d/control: Set Vcs-* to salsa.debian.org
  * d/copyright: Fix Format URL to correct one
  * d/control: Remove ancient X-Python-Version field
  * d/control: Remove ancient X-Python3-Version field
  * Convert git repository from git-dpm to gbp layout
  * Use 'python3 -m sphinx' instead of sphinx-build for building docs
  * Use debhelper-compat instead of debian/compat.
  * Drop Python 2 support (Closes: #937768).

 -- Ondřej Nový <email address hidden>  Tue, 10 Dec 2019 15:18:46 +0100

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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Focal release universe python

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Focal: [FULLYBUILT] amd64

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python-fudge_1.1.0-2.dsc 2.1 KiB 17d40578e10261de486d97311f753828e473678ed126b47a96399491a86b2bbf
python-fudge_1.1.0.orig.tar.gz 84.4 KiB eba59a926fa1df1ab6dddd69a7a8af21865b16cad800cb4d1af75070b0f52afb
python-fudge_1.1.0-2.debian.tar.xz 3.2 KiB 5e91f6936e847f9361202ed0c3c347dfc65c6a7a63591639d4909c501b4678eb

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Binary packages built by this source

python-fudge-doc: Python module for using fake objects for tests, documentation package

 Fudge is a Python module for using fake objects (mocks and stubs) to
 test real ones.
 .
 In readable Python code, you declare what methods are available on
 your fake and how they should be called. Then you inject that into
 your application and start testing. This declarative approach means
 you don’t have to record and playback actions and you don’t have to
 inspect your fakes after running code. If the fake object was used
 incorrectly then you’ll see an informative exception message with a
 traceback that points to the culprit.
 .
 Fudge was inspired by Mocha which is a simpler version of jMock. But
 unlike Mocha, Fudge does not automatically hijack real objects; you
 explicitly patch them in your test. And unlike jMock, Fudge is only
 as strict about expectations as you want it to be. If the type of
 arguments sent to the fake method aren’t important then you don’t
 have to declare an expectation for them.
 .
 This is the documentation of python-fudge.

python3-fudge: Python 3 module for using fake objects for tests

 Fudge is a Python module for using fake objects (mocks and stubs) to
 test real ones.
 .
 In readable Python code, you declare what methods are available on
 your fake and how they should be called. Then you inject that into
 your application and start testing. This declarative approach means
 you don’t have to record and playback actions and you don’t have to
 inspect your fakes after running code. If the fake object was used
 incorrectly then you’ll see an informative exception message with a
 traceback that points to the culprit.
 .
 Fudge was inspired by Mocha which is a simpler version of jMock. But
 unlike Mocha, Fudge does not automatically hijack real objects; you
 explicitly patch them in your test. And unlike jMock, Fudge is only
 as strict about expectations as you want it to be. If the type of
 arguments sent to the fake method aren’t important then you don’t
 have to declare an expectation for them.
 .
 This is the Python 3 version of the package.