python-beartype 0.17.0-2 source package in Ubuntu
Changelog
python-beartype (0.17.0-2) unstable; urgency=medium * Team upload. * Source-only upload. -- Jeroen Ploemen <email address hidden> Sun, 04 Feb 2024 16:57:24 +0000
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 | |
---|---|---|---|---|
Noble | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
python-beartype_0.17.0-2.dsc | 2.2 KiB | 88c1defa5138c8e09a42d2c0ab39a08fad8ecb922d9ae7dbc66e2c9f4477f381 |
python-beartype_0.17.0.orig.tar.gz | 1.1 MiB | 911fba33d0ebd3fc974a2da8d576e10057c2c4f114b1937271804ca28c6d526c |
python-beartype_0.17.0-2.debian.tar.xz | 6.9 KiB | 19b5eb0122bd15fe275e1b11e1d9127a3ee30a58d1c5b45effa1ea1377c1a9fc |
Available diffs
- diff from 0.17.0-1 to 0.17.0-2 (320 bytes)
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.