Source: reprounzip
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Ghislain Antony Vaillant <ghisvail@gmail.com>
Section: science
Priority: optional
Build-Depends: debhelper-compat (= 13),
               dh-sequence-python3,
               python3-all,
               python3-distro,
               python3-pyelftools,
               python3-requests,
               python3-rpaths,
               python3-setuptools,
               python3-usagestats,
               python3-yaml,
               python3-packaging
Standards-Version: 4.6.2
Vcs-Browser: https://salsa.debian.org/science-team/reprounzip
Vcs-Git: https://salsa.debian.org/science-team/reprounzip.git
Homepage: https://www.reprozip.org
Rules-Requires-Root: no

Package: reprounzip
Architecture: all
Section: utils
Depends: ${misc:Depends},
         ${python3:Depends},
         python3-reprounzip,
         python3-packaging
Description: tool for reproducing scientific experiments (unpacker)
 ReproZip is a tool aimed at simplifying the process of creating
 reproducible experiments from command-line executions, a frequently-used
 common denominator in computational science.
 .
 It tracks operating system calls and creates a package that contains
 all the binaries, files and dependencies required to run a given
 command on the author’s computational environment (packing step). A
 reviewer can then extract the experiment in his environment to
 reproduce the results (unpacking step).
 .
 This package provides the ReproZip unpacker.

Package: python3-reprounzip
Architecture: all
Section: python
Depends: ${misc:Depends},
         ${python3:Depends}
Description: modules for the ReproZip unpacker
 ReproZip is a tool aimed at simplifying the process of creating
 reproducible experiments from command-line executions, a frequently-used
 common denominator in computational science.
 .
 It tracks operating system calls and creates a package that contains
 all the binaries, files and dependencies required to run a given
 command on the author’s computational environment (packing step). A
 reviewer can then extract the experiment in his environment to
 reproduce the results (unpacking step).
 .
 This package provides the modules for Python 3.
