python-cytoolz 0.12.2-1 source package in Ubuntu
Changelog
python-cytoolz (0.12.2-1) unstable; urgency=medium
* Prune egg info and .c files
* New upstream version 0.12.2 (Closes: #1056853)
* Bump Standards-Version to 4.6.2 (no changes needed)
* Add d/clean to fixup rebuild (Closes: #1048045)
* Refresh patches
* Annotate pytest with nocheck
* Add in libpython3-all-dev and python3-all-dev:any to ease
cross-building. cython3 annotated with :native.
-- Nilesh Patra <email address hidden> Mon, 01 Jan 2024 02:23:06 +0530
Upload details
- Uploaded by:
- Debian Python Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Python Team
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| python-cytoolz_0.12.2-1.dsc | 1.6 KiB | a7d8393e3932d77a1ebea97215466d10e55d6c46c80c4f223cad1ad9b297c978 |
| python-cytoolz_0.12.2.orig.tar.xz | 58.6 KiB | 7396d1e2fa64fe49d1498c35ed210b872212308d327e1ed88caf342f6833f461 |
| python-cytoolz_0.12.2-1.debian.tar.xz | 4.4 KiB | 10bd7f03e6f6b338c377589ce2f978a9d84c9bcdb4f10dbb3bb998c07af5f0bd |
Available diffs
- diff from 0.12.0-1build2 (in Ubuntu) to 0.12.2-1 (425.0 KiB)
No changes file available.
Binary packages built by this source
- python3-cytoolz: Toolz in Cython: High performance functional utilities
Cython implementation of the toolz package, which provides high performance
utility functions for iterables, functions, and dictionaries.
.
toolz is a pure Python package that borrows heavily from contemporary
functional languages. It is designed to interoperate seamlessly with other
libraries including itertools, functools, and third party libraries.
High performance functional data analysis is possible with builtin types
like list and dict, and user-defined data structures; and low memory
usage is achieved by using the iterator protocol and returning iterators
whenever possible.
.
cytoolz implements the same API as toolz. The main differences are
that cytoolz is faster (typically 2-5x faster with a few spectacular
exceptions) and cytoolz offers a C API that is accessible to other
projects developed in Cython. Since toolz is able to process very
large (potentially infinite) data sets, the performance increase
gained by using cytoolz can be significant.
- python3-cytoolz-dbgsym: debug symbols for python3-cytoolz
