paraview 3.10.1-7 source package in Ubuntu

Changelog

paraview (3.10.1-7) unstable; urgency=low

  [ Mathieu Malaterre ]
  * [465d4bc] Remove XB-Python-Version line, as per dh_python2 policy. 
              (Closes: #643982)
  * [35324f0] Remove CMake release flag.
  * [cbf5c3e] Rely on mpi compiler to detect mpi installation.
  * [60cc610] Make sure to compile with openmpi.
  
  [ Anton Gladky ]
  * [c9b74a2] Fix FTBFS "format not a string literal and no format arg".
 -- Ubuntu Archive Auto-Sync <email address hidden>   Tue,  25 Oct 2011 08:33:19 +0000

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Uploaded by:
Ubuntu Archive Auto-Sync
Uploaded to:
Precise
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
science
Urgency:
Low Urgency

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File Size SHA-256 Checksum
paraview_3.10.1.orig.tar.gz 38.8 MiB 453deee23b6fa62ecb010d951adbc49e740dcb8875680725f93b8f76b9df5cfc
paraview_3.10.1-7.debian.tar.gz 28.6 KiB d25c5898566128852e5cca8ffa4ada658ededa03cd76d2427b4bd8703a46ba3a
paraview_3.10.1-7.dsc 2.7 KiB e8cbab33023051f9bff92218e3ea9ef6f6ff031f5d0bb43200421f04547c2a4b

Available diffs

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Binary packages built by this source

paraview: 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.

paraview-dev: 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

paraview-doc: 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.

paraview-python: 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.