README.md

Python module for binary_c

We present our package binary-c-python, a population synthesis code which is aimed to provide a convenient and easy-to-use interface to the binary_c framework, allowing the user to rapidly evolve single stellar systems and populations of star systems. Based on a early work by Jeff Andrews. Updated and extended for Python3 by David Hendriks, Robert Izzard.

binary_c-python is developed for students and scientists in the field of stellar astrophysics, who want to study the evolution of individual or populations of single and binary star systems (see the example use-case notebooks in the online documentation.

The current release is version version, and is designed and tested to work with binary_c version 2.2.1 (for older or newer versions we can't guarantee correct behaviour).

The current development branch is development_0.9.5/2.2.2.

Installation

To install binary_c-python we need to make sure we meet the requirements of installation, and

Python requirements

To run this code you need to at least have installations of:

• Python 3.7 or higher (3.6 is EOL, and we are using 3.9 for development)
• binary_c version 2.2.0 or higher

The packages that are required for this code to run are listed in the requirements.txt, which automatically gets read out by setup.py

Environment variables

Before compilation you need to have certain environment variables:

Required:

• BINARY_C should point to the root directory of your binary_c installation
• LD_LIBRARY_PATH should include $BINARY_C/src and whatever directories are required to run binary_c (e.g. locations of libgsl, libmemoize, librinterpolate, etc.)
• LIBRARY_PATH should include whatever directories are required to build binary_c (e.g. locations of libgsl, libmemoize, librinterpolate, etc.)
• GSL_DIR should point to the root location where you installed GSL to. This root dir should contain bin/, lib/ etc

Build instructions

First, make sure you have built binary_c (See $BINARY_C/doc/binary_c2.pdf section: installation for all the installation instructions for binary_c)) and that it functions correctly.

Installation via PIP:

To install this package via pip:

pip install binarycpython

This will install the latest stable installation that is available on Pip. The version on the master branch should be the same version as the latest stable version on Pip

Installation from source:

We can also install the package from source, which is useful for development versions and when you want to modify the code. It is recommended that you install this into a virtual environment. From within the commands/ directory, run

./install.sh

This will install the package, along with all the dependencies, into the current active (virtual) python environment.

After installation from source

After installing the code via source it is useful to run the test suite before doing any programming with it. The test suite is stored in binarycpython/tests and running python main.py in there will run all the tests.

Use of code without installation

Because installing binary_c-python requires a working installation of binary_c, installing via pip or from source without this working installation of binary_c won't work. To still make use of some of the functions provided by binary_c-python, you can add the path to the code-base to your PYTHONPATH:

• Download binary_c-python, via e.g. git clone https://gitlab.com/binary_c/binary_c-python.git
• Add the path to the downloaded repo to your $PYTHONPATH, via e.g. export PYTHONPATH="~/binary_c-python:$PYTHONPATH"

Usage

Examples

See the examples/ directory for example scripts and notebooks. The documentation contains example pages as well.

Usage notes

Make sure that with every change/recompilation you make in binary_c, you also rebuild this package. Whenever you change the sourcecode of this package, you need to reinstall it into your virtualenvironment as well

Documentation

Look in the docs/ directory. Within the build/html/ there is the html version of the documentation. The documentation is also hosted on http://personal.ph.surrey.ac.uk/~ri0005/doc/binary_c/binary_c.html but only for the most recent stable release.

This documentation is hosted on gitlab-pages through a gitlab-runner that executes the contents of .gitlab-ci.yml. The runner copies the contents of docs/build/html to public/.

Development: