bottleneck 1.3.5+ds1-2build1 source package in Ubuntu
Changelog
bottleneck (1.3.5+ds1-2build1) lunar; urgency=medium * Rebuild to drop Python 3.10 extension -- Jeremy Bicha <email address hidden> Tue, 28 Feb 2023 17:19:19 -0500
Upload details
- Uploaded by:
- Jeremy BĂcha
- Uploaded to:
- Lunar
- Original maintainer:
- Debian Python Team
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Mantic | release | universe | misc | |
Lunar | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
bottleneck_1.3.5+ds1.orig.tar.xz | 74.3 KiB | 049e32eb74fdc1f562380686527f6e9770d9451d95fdc3c3dbfeb39ae43b58d6 |
bottleneck_1.3.5+ds1-2build1.debian.tar.xz | 5.7 KiB | 941746c6c02d7ba61835cd85ff79831f1f9b7aedf30ef65f5e52b00bf3c84639 |
bottleneck_1.3.5+ds1-2build1.dsc | 2.3 KiB | 7aa96a55caac1873bbfb8660c2e34dfda5471aa623cec3c27e7ffee276a06f69 |
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-dbgsym: debug symbols for python3-bottleneck