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paraview 5.4.1+dfsg4-3.1
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Source: paraview
Maintainer: Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
Section: science
Priority: optional
Build-Depends: debhelper (>= 11),
               cmake,
	       qtbase5-dev,
               libqt5opengl5-dev,
	       libqt5x11extras5-dev,
	       qttools5-dev,
	       qttools5-dev-tools,
               qttools5-private-dev,
               qtxmlpatterns5-dev-tools,
               libsqlite3-dev,
               libboost-all-dev,
               libavformat-dev,
               gfortran,
               libavutil-dev,
               libcgns-dev,
               libprotobuf-dev,
               protobuf-compiler,
               libavcodec-dev,
               libswscale-dev,
               libqt5sql5-sqlite,
               python-dev,
               dh-python,
               libglu1-mesa-dev,
               libxt-dev,
               python-all,
               python-all-dev,
               python-all-dev (<< 2.8),
               libxext-dev,
               doxygen,
               graphviz,
               gnuplot,
               libtiff-dev,
               libpng-dev,
               libjpeg-dev,
               libxml2-dev,
               libexpat-dev,
               zlib1g-dev,
               libfreetype6-dev,
               default-libmysqlclient-dev,
               libpq-dev,
               libtheora-dev,
               libogg-dev,
               mpi-default-dev,
               mpi-default-bin,
               libhdf5-dev,
               hdf5-tools,
               libgl2ps-dev,
               libeigen3-dev,
               libnetcdf-dev,
               libnetcdf-cxx-legacy-dev,
               libjsoncpp-dev,
               libglew-dev,
               libxdmf-dev,
               libutfcpp-dev,
               python-autobahn,
               python-matplotlib,
               python-mpi4py,
               python-six,
               python-twisted
Standards-Version: 4.1.3
Vcs-Browser: https://salsa.debian.org/science-team/paraview
Vcs-Git: https://salsa.debian.org/science-team/paraview.git
Homepage: http://www.paraview.org/

Package: paraview
Architecture: any
Depends: tclsh,
         ${shlibs:Depends},
         ${misc:Depends},
         python-matplotlib,
         python-autobahn,
         python-mpi4py,
         python-six,
         python-twisted
Recommends: mpi-default-bin,
            paraview-python,
            paraview-doc
Suggests: hdf5-tools,
          h5utils
Description: Parallel Visualization Application
 ParaView is an open-source, multi-platform application designed to
 visualize data sets of size varying from small to very large. The
 goals of the ParaView project include the following:
 .
     * Develop an open-source, multi-platform visualization application.
     * Support distributed computation models to process large data sets.
     * Create an open, flexible, and intuitive user interface.
     * Develop an extensible architecture based on open standards.
 .
 ParaView runs on distributed and shared memory parallel as well as
 single processor systems and has been successfully tested on Windows,
 Mac OS X, Linux and various Unix workstations, clusters and
 supercomputers. Under the hood, ParaView uses the Visualization
 Toolkit as the data processing and rendering engine and has a user
 interface written using Qt.

Package: paraview-dev
Architecture: any
Section: libdevel
Depends: qt4-dev-tools,
         ${shlibs:Depends},
         ${misc:Depends},
         paraview (= ${binary:Version}),
         libeigen3-dev
Description: Parallel Visualization Application. Development header files
 ParaView is an open-source, multi-platform application designed to
 visualize data sets of size varying from small to very large. The
 goals of the ParaView project include the following:
 .
     * Develop an open-source, multi-platform visualization application.
     * Support distributed computation models to process large data sets.
     * Create an open, flexible, and intuitive user interface.
     * Develop an extensible architecture based on open standards.
 .
 ParaView runs on distributed and shared memory parallel as well as
 single processor systems and has been successfully tested on Windows,
 Mac OS X, Linux and various Unix workstations, clusters and
 supercomputers. Under the hood, ParaView uses the Visualization
 Toolkit as the data processing and rendering engine and has a user
 interface written using Qt. Development header files

Package: paraview-doc
Architecture: all
Section: doc
Depends: ${misc:Depends}
Recommends: paraview
Description: Parallel Visualization Application. Comprehensive documentation
 ParaView is an open-source, multi-platform application designed to
 visualize data sets of size varying from small to very large. The
 goals of the ParaView project include the following:
 .
     * Develop an open-source, multi-platform visualization application.
     * Support distributed computation models to process large data sets.
     * Create an open, flexible, and intuitive user interface.
     * Develop an extensible architecture based on open standards.
 .
 ParaView runs on distributed and shared memory parallel as well as
 single processor systems and has been successfully tested on Windows,
 Mac OS X, Linux and various Unix workstations, clusters and
 supercomputers. Under the hood, ParaView uses the Visualization
 Toolkit as the data processing and rendering engine and has a user
 interface written using Qt. Comprehensive documentation.

Package: paraview-python
Architecture: any
Section: python
Depends: paraview (= ${binary:Version}),
         ${python:Depends},
         ${misc:Depends},
         ${shlibs:Depends},
         python,
         python (<< 2.8),
         python-vtk6
Provides: ${python:Provides}
Description: Parallel Visualization Application. python-support
 ParaView is an open-source, multi-platform application designed to
 visualize data sets of size varying from small to very large. The
 goals of the ParaView project include the following:
 .
     * Develop an open-source, multi-platform visualization application.
     * Support distributed computation models to process large data sets.
     * Create an open, flexible, and intuitive user interface.
     * Develop an extensible architecture based on open standards.
 .
 ParaView runs on distributed and shared memory parallel as well as
 single processor systems and has been successfully tested on Windows,
 Mac OS X, Linux and various Unix workstations, clusters and
 supercomputers. Under the hood, ParaView uses the Visualization
 Toolkit as the data processing and rendering engine and has a user
 interface written using Qt. Enables python support.