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 | Published | Component | Section |
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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 |
Available diffs
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.