bottleneck 1.3.5+ds1-2 source package in Ubuntu
Changelog
bottleneck (1.3.5+ds1-2) unstable; urgency=medium
* Team Upload.
* Cherry-pick upstream patch to fix numpy
1.24 FTBFS (Closes: #1028748)
-- Nilesh Patra <email address hidden> Fri, 20 Jan 2023 02:20:34 +0530
Upload details
- Uploaded by:
- Debian Python Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Python Team
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| bottleneck_1.3.5+ds1-2.dsc | 1.7 KiB | 65de5fdd4a5b8382facb9496790d5342001455d20056c5848a2f44c1c5e0e851 |
| bottleneck_1.3.5+ds1.orig.tar.xz | 74.3 KiB | 049e32eb74fdc1f562380686527f6e9770d9451d95fdc3c3dbfeb39ae43b58d6 |
| bottleneck_1.3.5+ds1-2.debian.tar.xz | 5.7 KiB | 678a721231fdd0f3f1ca61844c2b72db30dd05b9092a69a869054b7a7a939802 |
Available diffs
- diff from 1.3.2+ds1-2build2 (in Ubuntu) to 1.3.5+ds1-2 (32.5 KiB)
- diff from 1.3.5+ds1-1 to 1.3.5+ds1-2 (924 bytes)
No changes file available.
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
