pyhamcrest 1.8.0-1.1 source package in Ubuntu

Changelog

pyhamcrest (1.8.0-1.1) unstable; urgency=medium

  [ David Kalnischkies ]
  * No-change non-maintainer upload to have python3-hamcrest rebuild without
    the use of deprecated collections ABI usage causing FTBFS in at least
    src:vim-youcompleteme (Closes: #917660)

  [ Ondřej Nový ]
  * Fixed VCS URL (https)
  * d/control: Set Vcs-* to salsa.debian.org
  * Convert git repository from git-dpm to gbp layout

  [ Piotr Ożarowski ]
  * Add dh-python to Build-Depends

 -- David Kalnischkies <email address hidden>  Mon, 07 Jan 2019 18:49:27 +0100

Upload details

Uploaded by:
David Villa Alises
Uploaded to:
Sid
Original maintainer:
David Villa Alises
Architectures:
all
Section:
python
Urgency:
Medium Urgency

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Series Pocket Published Component Section

Builds

Disco: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
pyhamcrest_1.8.0-1.1.dsc 2.1 KiB 55cc06ad6911d5c5b6487761a1f95ec09d9ced585ad464c3fafb35dee91941ea
pyhamcrest_1.8.0.orig.tar.gz 28.8 KiB 0ffdff8385e2b5efb00e50478e5f41aeecb3b55e934b16817c2536704bbd2a2f
pyhamcrest_1.8.0-1.1.debian.tar.xz 3.2 KiB 6425574c1dd73ef9991826675dd379ea5f15b8b0058c3273af314ecb3946943b

Available diffs

No changes file available.

Binary packages built by this source

python-hamcrest: No summary available for python-hamcrest in ubuntu focal.

No description available for python-hamcrest in ubuntu focal.

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.