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Port details
py-graphillion 0.93 graphics Deleted on this many watch lists=0 search for ports that depend on this port
Fast, lightweight graphset operation library in Python
Was Maintained by: koobs@FreeBSD.org search for ports maintained by this maintainer
Port Added: 21 Jun 2013 10:51:59
Also Listed In: python
License: MIT


SVNWeb : Distfiles Availability : PortsMon

NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.

Required To Build:
  1. devel/py-distribute
  2. lang/python27
Required To Run:
  1. devel/py-distribute
  2. lang/python27
There are no ports dependent upon this port

No installation instructions: this port has been deleted.

The package name of this deleted port was: py27-graphillion


Configuration Options
     No options to configure

Master Sites:
  1. ftp://ftp.FreeBSD.org/pub/FreeBSD/ports/distfiles/
  2. http://cloud.github.com/downloads/takemaru/graphillion/
  3. http://nodeload.github.com/takemaru/graphillion/legacy.tar.gz/v0.93?dummy=/
  4. https://nodeload.github.com/takemaru/graphillion/legacy.tar.gz/v0.93?dummy=/
Port Moves

Number of commits found: 3

Commit History - (may be incomplete: see SVNWeb link above for full details)
DateByDescription
22 Jun 2013 09:00:50
Original commit files touched by this commit  0.93
Revision:321557
koobs search for other commits by this committer
graphics/py-graphillion: Move from graphics/ to math/ at authors request

- Move py-graphillion from graphics/ to math/
- Update both category indexes
- Add MOVED entry

Reviewed by:	az
21 Jun 2013 11:00:46
Original commit files touched by this commit  0.93
Revision:321456
koobs search for other commits by this committer
graphics/py-graphillion: Add LICENSE
21 Jun 2013 10:51:36
Original commit files touched by this commit  0.93
Revision:321453
koobs search for other commits by this committer
graphics/py-graphillion: [NEW PORT] Fast, lightweight Python library for huge
graphsets

Graphillion is a Python software package on search, optimization, and
enumeration for a graphset, or a set of graphs.

 - Lightweight data structures for handling x-illions of graphs
 - Search, optimization, and enumeration for large and complex graph sets
 - Efficient implementation extending Python with C/C++
 - Working with existing graph tools like NetworkX
 - Open source MIT license
 - Well tested: more than 600 unit tests
 - Fast prototyping, easy to teach, and multi-platform

WWW: http://graphillion.org/

Number of commits found: 3

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