Ubuntu
python-cytoolz package

python-cytoolz 0.11.0-2 source package in Ubuntu

Changelog

python-cytoolz (0.11.0-2) unstable; urgency=medium

  * Team upload.
  * Add a Python 3.10 compatibility patch from Steve Langasek (Closes:
    #999405).

 -- Andrey Rahmatullin <email address hidden>  Sun, 21 Nov 2021 14:51:23 +0500

Upload details

Uploaded by:
Debian Python Team
Uploaded to:
Sid
Original maintainer:
Debian Python Team
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
python-cytoolz_0.11.0-2.dsc 2.1 KiB 4086e8ee2331e4e9eac7ef80afcd054ad920bbb6ca88fd74b434df1544539653
python-cytoolz_0.11.0.orig.tar.gz 466.6 KiB c64f3590c3eb40e1548f0d3c6b2ccde70493d0b8dc6cc7f9f3fec0bb3dcd4222
python-cytoolz_0.11.0-2.debian.tar.xz 4.1 KiB 0139bdf772fc58fd7d0976c3d10db56dcea57725e03522616f0720f0c2daec0b

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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