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cutgeneratingfunctionology
Advanced tools
Python code for computation and experimentation with cut-generating functions
.. image:: http://mkoeppe.github.io/cutgeneratingfunctionology/graphics-nonfree/Z11_058_github_template.jpg :width: 100% :target: https://github.com/mkoeppe/cutgeneratingfunctionology :alt: mkoeppe/cutgeneratingfunctionology: Python code for computation and experimentation with cut-generating functions
Most of the code is for the 1-dimensional Gomory-Johnson infinite group problem, including an electronic compendium of extreme functions.
See http://www.sagemath.org/doc/tutorial/ for information on how to use Sage.
.. badges
.. image:: https://img.shields.io/travis/mkoeppe/cutgeneratingfunctionology :alt: Travis CI :target: https://travis-ci.org/mkoeppe/cutgeneratingfunctionology/
.. image:: https://img.shields.io/pypi/l/cutgeneratingfunctionology :alt: License: GNU General Public License, version 2, or any later version as published by the Free Software Foundation. :target: https://github.com/mkoeppe/cutgeneratingfunctionology/blob/master/COPYING
.. image:: https://img.shields.io/pypi/v/cutgeneratingfunctionology :alt: PyPI package :target: https://pypi.org/project/cutgeneratingfunctionology/
.. image:: https://mybinder.org/badge_logo.svg :alt: Run it on mybinder.org :target: https://mybinder.org/v2/gh/mkoeppe/cutgeneratingfunctionology/master?filepath=demo.ipynb
.. image:: https://img.shields.io/github/last-commit/mkoeppe/cutgeneratingfunctionology/gh-pages?label=sphinx%20doc%20built :alt: Sphinx documentation built :target: http://mkoeppe.github.io/cutgeneratingfunctionology/doc/html/
.. image:: https://img.shields.io/twitter/url?style=social&url=https%3A%2F%2Fgithub.com%2Fmkoeppe%2Fcutgeneratingfunctionology :alt: Twitter :target: https://twitter.com/intent/tweet?text=%23cutgeneratingfunctionology:&url=https%3A%2F%2Fgithub.com%2Fmkoeppe%2Fcutgeneratingfunctionology
.. add later: https://img.shields.io/pypi/pyversions/cutgeneratingfunctionology
See https://github.com/mkoeppe/cutgeneratingfunctionology/blob/master/AUTHORS.rst and also https://github.com/mkoeppe/cutgeneratingfunctionology/blob/master/THANKS.rst
The code is released under the GNU General Public License, version 2, or any later version as published by the Free Software Foundation.
http://mkoeppe.github.io/cutgeneratingfunctionology/doc/html/
.. how_to_run
There are many ways to run this package.
A. Run it online on mybinder.org
.. image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/mkoeppe/cutgeneratingfunctionology/master?filepath=demo.ipynb
B. Install released version from PyPI and run it within conda
.. image:: https://img.shields.io/pypi/v/cutgeneratingfunctionology :alt: PyPI package :target: https://pypi.org/project/cutgeneratingfunctionology/
Install Miniconda from https://docs.conda.io/en/latest/miniconda.html
Set up the conda environment described in https://github.com/mkoeppe/cutgeneratingfunctionology/blob/master/environment.yml::
e=environment.yml; curl -o $e https://raw.githubusercontent.com/mkoeppe/cutgeneratingfunctionology/master/$e conda env create -n sage-cgf -f $e conda activate sage-cgf
This takes a while; it installs SageMath, which has many dependencies.
Install PyPI package::
pip install cutgeneratingfunctionology
Start Sage. You can either use the terminal (IPython)::
sage
or a Jupyter notebook::
sage -n jupyter
At the Sage prompt, type::
import cutgeneratingfunctionology.igp as igp; from cutgeneratingfunctionology.igp import *
Follow the instructions and examples in https://github.com/mkoeppe/cutgeneratingfunctionology/blob/master/demo.rst or https://github.com/mkoeppe/cutgeneratingfunctionology/blob/master/demo.ipynb .
C. Clone from GitHub and run it within conda
- Install Miniconda from https://docs.conda.io/en/latest/miniconda.html
- Clone the GitHub repository https://github.com/mkoeppe/cutgeneratingfunctionology.git::
git clone https://github.com/mkoeppe/cutgeneratingfunctionology.git
cd cutgeneratingfunctionology
- Set up the conda environment described in https://github.com/mkoeppe/cutgeneratingfunctionology/blob/master/environment.yml::
conda env create -n sage-cgf -f environment.yml
conda activate sage-cgf
This takes a while; it installs SageMath which has many dependencies.
- (Optional:) Install the cutgeneratingfunctionology package using pip::
pip install .
- Start Sage. You can either use the terminal (IPython)::
sage
or a Jupyter notebook::
sage -n jupyter
- At the Sage prompt, type::
import cutgeneratingfunctionology.igp as igp; from cutgeneratingfunctionology.igp import *
- Follow the instructions and examples in https://github.com/mkoeppe/cutgeneratingfunctionology/blob/master/demo.rst or https://github.com/mkoeppe/cutgeneratingfunctionology/blob/master/demo.ipynb .
D. Run in a standalone installation of the SageMath distribution (no conda)
Install the SageMath distribution:
a) Either from source from http://www.sagemath.org/
b) or with a binary from http://www.sagemath.org/
The SageMath distribution brings its own installation of Python and many packages.
Clone the GitHub repository https://github.com/mkoeppe/cutgeneratingfunctionology.git::
git clone https://github.com/mkoeppe/cutgeneratingfunctionology.git cd cutgeneratingfunctionology
(Optional:) Install optional SageMath distribution packages::
sage -i lrslib pynormaliz
Install the cutgeneratingfunctionology package using pip::
sage -pip install .
Start SageMath. You can either use the terminal (IPython)::
sage
or a Jupyter notebook::
sage -n jupyter
At the Sage prompt, type::
import cutgeneratingfunctionology.igp as igp; from cutgeneratingfunctionology.igp import *
Follow the instructions and examples in https://github.com/mkoeppe/cutgeneratingfunctionology/blob/master/demo.rst or https://github.com/mkoeppe/cutgeneratingfunctionology/blob/master/demo.ipynb .
E. Run in Python (no installation of SageMath required)
This method uses the modularized distributions from https://github.com/passagemath
- Clone the GitHub repository https://github.com/mkoeppe/cutgeneratingfunctionology.git::
git clone https://github.com/mkoeppe/cutgeneratingfunctionology.git
cd cutgeneratingfunctionology
- (Optional:) Create a virtual environment
python3 -m venv venv-cgf
. venv-cgf/bin/activate
- Install the cutgeneratingfunctionology package using pip::
pip install ".[passagemath]"
- Start Python::
python3
- At the Python prompt, type::
import cutgeneratingfunctionology.igp as igp; from cutgeneratingfunctionology.igp import *
- Follow the instructions and examples in https://github.com/mkoeppe/cutgeneratingfunctionology/blob/master/demo.rst or https://github.com/mkoeppe/cutgeneratingfunctionology/blob/master/demo.ipynb .
FAQs
Python code for computation and experimentation with cut-generating functions
We found that cutgeneratingfunctionology demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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