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python-cytoolz package

python-cytoolz 0.10.1-1fakesync1build1 source package in Ubuntu

Changelog

python-cytoolz (0.10.1-1fakesync1build1) focal; urgency=medium

  * No-change rebuild to drop python3.7.

 -- Matthias Klose <email address hidden>  Tue, 18 Feb 2020 10:22:42 +0100

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Uploaded by:
Matthias Klose
Uploaded to:
Focal
Original maintainer:
Debian Python Modules Team
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Focal release universe misc

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File Size SHA-256 Checksum
python-cytoolz_0.10.1.orig.tar.gz 476.4 KiB a170f27de020aaa1b01da9e9d03c52dc2ebc4f7f0044a040eb574427d7872dbc
python-cytoolz_0.10.1-1fakesync1build1.debian.tar.xz 3.4 KiB cd135f72f5a34187c07f24866a2b4deeb1df72eec6775787d90034ed0ab974ab
python-cytoolz_0.10.1-1fakesync1build1.dsc 2.2 KiB 6c144251f7d0f39842a904dc353b0b0f42ad6a682d407a6949b3484e1044fc3c

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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