bidict 0.22.1-1 source package in Ubuntu
Changelog
bidict (0.22.1-1) unstable; urgency=medium
* Team upload.
* New upstream release.
* Refresh patches.
* Drop patch 0003-Do-not-install-custom.js-for-codefund.app-because-of.patch,
superseded upstream.
* Switch watch file to github tags.
* Patch: Help setuptools find the package.
* Build-Depend on python3-pytest-xdist.
-- Stefano Rivera <email address hidden> Fri, 03 Feb 2023 19:50:55 -0400
Upload details
- Uploaded by:
- Debian Python Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Python Team
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Mantic | release | universe | misc | |
| Lunar | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| bidict_0.22.1-1.dsc | 1.9 KiB | 2a222587762b16bfa5de4200c141d1172ef42cca69bf2bc84346ff13979bf379 |
| bidict_0.22.1.orig.tar.gz | 176.9 KiB | da32e2e9a36f34396feb4999e4bbbb5d7e97096554418b522936502a4d9ab0e5 |
| bidict_0.22.1-1.debian.tar.xz | 10.0 KiB | 2280f8a9a2b1a33424916f0a024eab8f2c82113d9d63579a667f73bad51c6629 |
Available diffs
- diff from 0.21.3-1 to 0.22.1-1 (117.5 KiB)
No changes file available.
Binary packages built by this source
- python-bidict-doc: Bidirectional map data structures and related functionality - documentation
Features:
- has carefully designed APIs for safety, simplicity, flexibility,
and ergonomics
- has extensive test coverage (including property-based tests and benchmarks)
run continuously on all supported Python versions and OSes
- integrates natively with Python’s collections interfaces
- is implemented in concise, well-factored, well-documented pure Python that
leverages a number of advanced language features
.
This package contains the HTML documentation.
- python3-bidict: Bidirectional map data structures and related functionality
Features:
- has carefully designed APIs for safety, simplicity, flexibility,
and ergonomics
- has extensive test coverage (including property-based tests and benchmarks)
run continuously on all supported Python versions and OSes
- integrates natively with Python’s collections interfaces
- is implemented in concise, well-factored, well-documented pure Python that
leverages a number of advanced language features
