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Groups > comp.lang.python.announce > #3197
| From | "Robert Grant" <rhgrant10@gmail.com> |
|---|---|
| Newsgroups | comp.lang.python.announce |
| Subject | tsplib95 v0.4.0 |
| Date | 2019-09-23 00:25 +0000 |
| Message-ID | <156919833221.7290.15347002846613920338@mail.python.org> (permalink) |
I'm pleased to announce the release of tsplib95 v0.4.0!
What's New?
-----------
* parser now raises ``ParserError`` instead of ``Exception``
* problem fields are now documented
* added explicit support for python 3.7
* corrected a parameter name in ``distances.geographical``
What is tsplib95?
-----------------
tsplib95 is a library for reading TSPLIB95 problems and solutions.
It supports the entire file format specification and automatically
converts problems into ``networkx.Graph`` instances.
License: Apache Software License 2.0
* Read the **docs**: https://tsplib95.readthedocs.io/
* Install from **PyPI**: https://pypi.org/project/tsplib95/0.4.0/
* Contribute **source**: https://github.com/rhgrant10/tsplib95
Example
-------
.. code-block:: python
>>> import tsplib95
>>> import networkx as nx
>>> # read problem files
>>> problem = tsplib95.load_problem('path/to/att48.tsp')
>>> problem.name
>>> problem.comment
'48 capitals of the US (Padberg/Rinaldi)'
>>> problem.dimension
48
>>> problem.type
'TSP'
>>> # auto-generated weight function for any two nodes
>>> problem.wfunc(2, 6)
6977
>>> # convert to networkx
>>> G = problem.get_graph()
>>> if problem.is_symmteric():
... assert issubclass(G, nx.Graph)
... else:
... assert issubclass(G, nx.DiGraph)
>>> if problem.is_depictable():
... nx.draw(G)
...
Enjoy!
Robert Grant
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tsplib95 v0.4.0 "Robert Grant" <rhgrant10@gmail.com> - 2019-09-23 00:25 +0000
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