pyhamcrest 2.1.0-1 source package in Ubuntu

Changelog

pyhamcrest (2.1.0-1) unstable; urgency=medium

  * Team upload.
  * New upstream version 2.1.0
  * use new dh-sequence-python3
  * enable 426 tests, disable 3
  * add new build dependency on:
    * pybuild-plugin-pyproject
    * python3-hatchling
    * python3-hatch-vcs
  * remove old build dependencies:
    * python3-mock: hybridized in src/hamcrest/core/helpers/ismock.py
    * python3-six

 -- Alexandre Detiste <email address hidden>  Sat, 17 Feb 2024 16:42:01 +0100

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release main python
Noble release main python

Builds

Noble: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
pyhamcrest_2.1.0-1.dsc 2.1 KiB cf458858f1a633349fe497595f54899496a6e335c9e01b19988fc51b33c9138b
pyhamcrest_2.1.0.orig.tar.gz 61.1 KiB 3ce821e78ca4dd0a1d5993186b2cb98ef473ef7910c92116294f8c5f26b6b5ad
pyhamcrest_2.1.0-1.debian.tar.xz 5.2 KiB fb2c0aabac53045050c3f493739edafcbb8fbeffa151c875fe4b255786da3e13

Available diffs

No changes file available.

Binary packages built by this source

python3-hamcrest: Hamcrest framework for matcher objects (Python 3)

 PyHamcrest is a framework for writing matcher objects, allowing you to
 declaratively define "match" rules. There are a number of situations where
 matchers are invaluable, such as UI validation, or data filtering, but it is in
 the area of writing flexible tests that matchers are most commonly used. This
 tutorial shows you how to use PyHamcrest for unit testing.
 .
 When writing tests it is sometimes difficult to get the balance right between
 overspecifying the test (and making it brittle to changes), and not specifying
 enough (making the test less valuable since it continues to pass even when the
 thing being tested is broken). Having a tool that allows you to pick out
 precisely the aspect under test and describe the values it should have, to a
 controlled level of precision, helps greatly in writing tests that are
 "just right." Such tests fail when the behavior of the aspect under test
 deviates from the expected behavior, yet continue to pass when minor,
 unrelated changes to the behaviour are made.
 .
 This package provides the Python 3.x modules.