passagemath-topcom 10.4.59

passagemath: Triangulations of point configurations and oriented matroids with TOPCOM

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“Creating a Viable Open Source Alternative to

Magma, Maple, Mathematica, and MATLAB”

Copyright (C) 2005-2024 The Sage Development Team

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SageMath fully supports all major Linux distributions, recent versions of macOS, and Windows (Windows Subsystem for Linux).

See https://doc.sagemath.org/html/en/installation/index.html for general installation instructions.

About this pip-installable distribution package

This pip-installable distribution passagemath-topcom provides an interface to TOPCOM, a package for computing triangulations of point configurations and oriented matroids by Jörg Rambau.

What is included

• Raw access to all executables from Python using sage.features.topcom

• The binary wheels published on PyPI include a prebuilt copy of TOPCOM.

Examples

Using TOPCOM programs on the command line:

$ pipx run --pip-args="--prefer-binary" --spec "passagemath-topcom" sage -sh -c 'cube 4 | points2facets'
Evaluating Commandline Options ...
... done.
16,5:
{
{0,1,2,3,4,5,6,7}
{0,1,2,3,8,9,10,11}
{0,1,4,5,8,9,12,13}
{0,2,4,6,8,10,12,14}
{1,3,5,7,9,11,13,15}
{2,3,6,7,10,11,14,15}
{4,5,6,7,12,13,14,15}
{8,9,10,11,12,13,14,15}
}

Finding the installation location of a TOPCOM program:

$ pipx run --pip-args="--prefer-binary" --spec "passagemath-topcom[test]" ipython

In [1]: from sage.features.topcom import TOPCOMExecutable

In [2]: TOPCOMExecutable('points2allfinetriangs').absolute_filename()
Out[2]: '/Users/mkoeppe/.local/pipx/.cache/cef1668ecbdb8cf/lib/python3.11/site-packages/sage_wheels/bin/points2allfinetriangs'

Using sage.geometry.triangulation.point_configuration:

$ pipx run --pip-args="--prefer-binary" --spec "passagemath-topcom[test]" ipython

In [1]: from sage.all__sagemath_topcom import *

In [2]: p = PointConfiguration([[-1,QQ('-5/9')], [0,QQ('10/9')], [1,QQ('-5/9')], [-2,QQ('-10/9')], [0,QQ('20/9')], [2,QQ('-10/9')]])

In [3]: PointConfiguration.set_engine('topcom')

In [4]: p_regular = p.restrict_to_regular_triangulations(True)

In [5]: regular = p_regular.triangulations_list()

In [6]: len(regular)
Out[6]: 16