paraview 3.14.1-1ubuntu1.1 source package in Ubuntu

Changelog

paraview (3.14.1-1ubuntu1.1) precise; urgency=low

  * Fix crash in STL ascii reader. (LP: #1072053)
  * Skip warning messages on startup. (Closes: LP: #995949)
 -- Anton Gladky <email address hidden>   Thu, 25 Oct 2012 21:09:08 +0200

Upload details

Uploaded by:
Anton Gladky on 2013-07-17
Sponsored by:
Marc Deslauriers
Uploaded to:
Precise
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
science
Urgency:
Low Urgency

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Precise updates on 2014-04-22 universe science

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File Size SHA-256 Checksum
paraview_3.14.1.orig.tar.gz 39.6 MiB 84499b2775b2159a6f9afed43e7e48ecde998d094a0afe5e2a97db04e359b6f1
paraview_3.14.1-1ubuntu1.1.debian.tar.gz 30.5 KiB 7a47d2c88e874c4a2bfd47ab835b50f4fabcc0859f11b678ac7357ad8f849191
paraview_3.14.1-1ubuntu1.1.dsc 2.8 KiB b8fa3b22c728af908ce10fadc9068460fbdb89ac7090003a6a290523f35a6d5d

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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.