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python-cpl package

python-cpl 0.7-4build1 source package in Ubuntu

Changelog

python-cpl (0.7-4build1) xenial; urgency=medium

  * No-change rebuild for python3 defaults change.

 -- Matthias Klose <email address hidden>  Fri, 23 Oct 2015 19:38:33 +0000

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Uploaded by:
Matthias Klose
Uploaded to:
Xenial
Original maintainer:
Debian Astronomy Maintainers
Architectures:
any
Section:
python
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
python-cpl_0.7.orig.tar.gz 58.5 KiB 30d41a19f021a8392a579d09e78d6d92bc71713189dc4bef2d46be9980624fa8
python-cpl_0.7-4build1.debian.tar.xz 4.5 KiB 5d737f18796c813e812777a720608374f4c35d1bc2e5e34eac97a16cac44c8aa
python-cpl_0.7-4build1.dsc 2.2 KiB 013c0a83e63e1ce40f497051f5d1c860564210dd8dafbe2cb09208245a6373af

Available diffs

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Binary packages built by this source

python-cpl: Control pipeline recipes from the European Southern Observatory

 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 pyfits 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: 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 pyfits 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.