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Source: python-cpl
Section: python
Priority: optional
Maintainer: Debian Astronomy Maintainers <debian-astro-maintainers@lists.alioth.debian.org>
Uploaders: Ole Streicher <olebole@debian.org>
Build-Depends: debhelper (>= 9),
dh-python,
libcpl-dev,
python-all-dev (>= 2.6.6-3~),
python-astropy,
python-numpy,
python-pkg-resources,
python3-all-dev,
python3-astropy,
python3-numpy,
python3-pkg-resources
X-Python-Version: >= 2.6
X-Python3-Version: >= 3.2
Standards-Version: 3.9.6
Homepage: http://packages.python.org/python-cpl/index.html
Vcs-Git: git://anonscm.debian.org/debian-astro/packages/python-cpl.git
Vcs-Browser: http://anonscm.debian.org/gitweb/?p=debian-astro/packages/python-cpl.git
Package: python-cpl
Architecture: any
Depends: python-astropy | python-pyfits,
${misc:Depends},
${python:Depends},
${shlibs:Depends}
Suggests: gdb
Description: 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.
Package: python3-cpl
Architecture: any
Depends: python3-astropy | python3-pyfits,
${misc:Depends},
${python3:Depends},
${shlibs:Depends}
Suggests: gdb
Description: 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.
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