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python-cytoolz package

python-cytoolz 0.12.2-1build1 source package in Ubuntu

Changelog

python-cytoolz (0.12.2-1build1) noble; urgency=medium

  * No-change rebuild with Python 3.12 only

 -- Graham Inggs <email address hidden>  Thu, 11 Apr 2024 10:42:31 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Noble
Original maintainer:
Debian Python Team
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
python-cytoolz_0.12.2.orig.tar.xz 58.6 KiB 7396d1e2fa64fe49d1498c35ed210b872212308d327e1ed88caf342f6833f461
python-cytoolz_0.12.2-1build1.debian.tar.xz 4.4 KiB 7176dbcfcfd5f0268a5645d135a452821ecedd05020c5c42ac581163f64ff393
python-cytoolz_0.12.2-1build1.dsc 2.2 KiB a6d837fcb4fa16100518d035db874928797a09133df94405318af37646aee58e

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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