Ubuntu
woo package

woo 1.0+dfsg1-1 source package in Ubuntu

Changelog

woo (1.0+dfsg1-1) unstable; urgency=medium

  * [ae1639e] Move to vtk6, add BD for python3.
  * [1e74080] Disable autotests temporarly. (Closes: #800407)
  * [6a9fe9e] Add MathJax_local.js to Files-Excluded.
  * [8ee1c9d] Imported Upstream version 1.0+dfsg1
  * [02150d7] Fix warnings in d/copyright.

 -- Anton Gladky <email address hidden>  Tue, 27 Oct 2015 19:59:36 +0100

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Xenial release universe misc

Downloads

File Size SHA-256 Checksum
woo_1.0+dfsg1-1.dsc 2.2 KiB d0fe81650507aea4a86febf319ea0590e9e3322c8dd20a42706da79abfe280c6
woo_1.0+dfsg1.orig.tar.xz 15.0 MiB cf4d363e6497865795b490fe117c2975fe829cfdaba0183e34217666af6ea5df
woo_1.0+dfsg1-1.debian.tar.xz 9.9 KiB 0a41a3646c51a3f4c7a8a73ed8f3e84cd7aca7a8b7012986aa494e7fa60d7d91

Available diffs

No changes file available.

Binary packages built by this source

python-woo: No summary available for python-woo in ubuntu yakkety.

No description available for python-woo in ubuntu yakkety.

python3-woo: Discrete dynamic compuations, esp. granular mechanics (python 3)

 Extesible and portable framework primarily for mechanics
 granular materials. Computation parts are written in c++ parallelized using
 OpenMP, fully accessible and modifiable from python (ipython console or
 scripts). Arbitrarily complex scene can be scripted. Qt-based user interface
 is provided, featuring flexible OpenGL display, inspection of all objects
 and runtime modification. Parametric preprocessors can be written in pure
 python, and batch system can be used to drive parametric studies. New
 material models and particle shapes can be added (in c++) without modifying
 existing classes.
 .
 Woo is an evolution of the Yade package
 (http://www.launchpad.net/yade), aiming at more flexibility, extensibility,
 tighter integration with python and user-friendliness.
 .
 This version is built with OpenMP enabled, and targets Python 3.x.