Ubuntu
python-beartype package

python-beartype 0.19.0-1 source package in Ubuntu

Changelog

python-beartype (0.19.0-1) unstable; urgency=medium

  * New upstream version 0.19.0
  * Change build backend to hatchling in build-depends

 -- Ananthu C V <email address hidden>  Sat, 28 Sep 2024 23:02:13 +0530

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 Pocket Published Component Section
Plucky release universe misc

Builds

Plucky: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
python-beartype_0.19.0-1.dsc 2.2 KiB ce74d818bc0fe1e131c2b503a56a84342cdb2153f24da3803996adc9a395f34f
python-beartype_0.19.0.orig.tar.gz 1.3 MiB e7ad00eebf527d60f30e0b391209b561dabd2074b608c50e26c94c2d8250a6cd
python-beartype_0.19.0-1.debian.tar.xz 8.0 KiB fda3f443a4a7ca56f4d348a1c48af3630142d06b751cd1151411fb7220c168a3

Available diffs

No changes file available.

Binary packages built by this source

python-beartype-doc: documentation for the beartype Python library

 Beartype is an open-source pure-Python PEP-compliant near-real-time
 hybrid runtime-static third-generation type checker emphasizing
 efficiency, usability, unsubstantiated made up jargon and thrilling puns.
 .
 Beartype brings Rust- and C++-inspired zero-cost abstractions into the
 lawless world of dynamically-typed Python by enforcing type safety at the
 granular level of functions and methods against type hints standardized by
 the Python community in non-amortized worst-case time with negligible
 constant factors.
 .
 This package provides documentation for beartype.

python3-beartype: Unbearably fast runtime type checking in pure Python

 Beartype is an open-source pure-Python PEP-compliant near-real-time
 hybrid runtime-static third-generation type checker emphasizing
 efficiency, usability, unsubstantiated made up jargon and thrilling puns.
 .
 Beartype brings Rust- and C++-inspired zero-cost abstractions into the
 lawless world of dynamically-typed Python by enforcing type safety at the
 granular level of functions and methods against type hints standardized by
 the Python community in non-amortized worst-case time with negligible
 constant factors.