python-cpl 0.7.4-2build4 source package in Ubuntu
Changelog
python-cpl (0.7.4-2build4) hirsute; urgency=medium * No-change rebuild to drop python3.8 extensions. -- Matthias Klose <email address hidden> Mon, 07 Dec 2020 18:27:52 +0100
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Hirsute
- Original maintainer:
- Debian Astronomy Maintainers
- Architectures:
- any
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
python-cpl_0.7.4.orig.tar.gz | 66.0 KiB | 6dfca58676967b752b2cdf636e1d6094f02259fcaaad5ed167f32ff0b69ee76b |
python-cpl_0.7.4-2build4.debian.tar.xz | 4.0 KiB | 72c74b28d0869c9af5329699f70e9235e25c65d5d46e81c28a7be16e64023f57 |
python-cpl_0.7.4-2build4.dsc | 2.1 KiB | 37e58288cbaf063775f3fa754270e4859c5efd410c8d3bcc74231be8e9d9bef1 |
Available diffs
- diff from 0.7.4-2build3 to 0.7.4-2build4 (325 bytes)
Binary packages built by this source
- python3-cpl: Control pipeline recipes from the ESO (Python3)
This module can list, configure and execute CPL-based recipes from Python3.
The input, calibration and output data can be specified as FITS files
or as astropy fits objects in memory.
.
The Common Pipeline Library (CPL) comprises a set of ISO-C libraries that
provide a comprehensive, efficient and robust software toolkit. It forms a
basis for the creation of automated astronomical data-reduction tasks.
.
One of the features provided by the CPL is the ability to create
data-reduction algorithms that run as plugins (dynamic libraries). These are
called "recipes" and are one of the main aspects of the CPL data-reduction
development environment.
- python3-cpl-dbgsym: No summary available for python3-cpl-dbgsym in ubuntu hirsute.
No description available for python3-cpl-dbgsym in ubuntu hirsute.