bottleneck 1.2.1+ds1-2build1 source package in Ubuntu

Changelog

bottleneck (1.2.1+ds1-2build1) focal; urgency=medium

  * No-change rebuild to build with python3.8.

 -- Matthias Klose <email address hidden>  Fri, 18 Oct 2019 18:37:48 +0000

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
bottleneck_1.2.1+ds1.orig.tar.gz 66.6 KiB 407e5d569f6ff59ff719c8e8de37cfeae532146f9328e1f37d44e4f5f1815246
bottleneck_1.2.1+ds1-2build1.debian.tar.xz 4.7 KiB 79dea78b998a39db52f2d51aa05e5786388e969a701ce9090ed2751461fadc47
bottleneck_1.2.1+ds1-2build1.dsc 2.5 KiB ce4d2b1134bf37d2b5c4301e7348c2c32b7b399e75dce1c0c2fb9ee8053aa646

View changes file

Binary packages built by this source

python-bottleneck-doc: documentation for bottleneck

 Bottleneck is a collection of fast NumPy array functions written in C.
 .
 Only arrays with data type (dtype) int32, int64, float32, and float64 are
 accelerated. All other dtypes result in calls to slower, unaccelerated
 functions.
 .
 This package provides the documentation for bottleneck.

python3-bottleneck: Fast NumPy array functions written in C (Python 3)

 Bottleneck is a collection of fast NumPy array functions written in C.
 .
 Only arrays with data type (dtype) int32, int64, float32, and float64 are
 accelerated. All other dtypes result in calls to slower, unaccelerated
 functions.
 .
 This package provides the modules for Python 3.

python3-bottleneck-dbg: debug extensions for bottleneck (Python 3)

 Bottleneck is a collection of fast NumPy array functions written in C.
 .
 Only arrays with data type (dtype) int32, int64, float32, and float64 are
 accelerated. All other dtypes result in calls to slower, unaccelerated
 functions.
 .
 This package provides the debug extensions for Python 3.