Merge branch 'releases/1.0.0/2.2.4'

# Python module for binary_c

![docstring coverage](./badges/docstring_coverage.svg) ![test coverage](./badges/test_coverage.svg) ![astropy](http://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat)

We present our package [binary-c-python](https://binary_c.gitlab.io/binary_c-python/), a population synthesis code which is aimed to provide a convenient and easy-to-use interface to the [binary_c](https://binary_c.gitlab.io/binary_c/) framework, allowing the user to rapidly evolve single stellar systems and populations of star systems. Based on earlier Perl versions by Robert Izzard, updated and extended for Python 3 by David Hendriks, Robert Izzard. Credits to Jeff Andrews for early efforts on the python-c interface.

We present our package [binary_c-python](https://binary_c.gitlab.io/binary_c-python/), a population synthesis code which is aimed to provide a convenient and easy-to-use interface to the [binary_c](https://binary_c.gitlab.io/binary_c/) framework, allowing the user to rapidly evolve single stellar systems and populations of star systems. Based on earlier Perl versions by Robert Izzard, updated and extended for Python 3 by [David Hendriks](https://davidhendriks.com/), [Robert Izzard](http://personal.ph.surrey.ac.uk/~ri0005/index.html). Credits to Jeff Andrews for early efforts on the python-c interface.

`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](https://binary_c.gitlab.io/binary_c-python/example_notebooks.html) in the [online documentation](https://binary_c.gitlab.io/binary_c-python)).

from within the `commands/` directory.

## JOSS paper

We've written a JOSS paper for `binary_c-python`, which is stored in https://gitlab.com/dhendriks/paper_joss_binarycpython. The paper is currently under review.

We've written a JOSS paper for `binary_c-python`, which is stored in [papers/joss/paper.pdf](https://gitlab.com/binary_c/binary_c-python/-/blob/master/papers/joss/paper.pdf).

Paper review status:

[![status](https://joss.theoj.org/papers/7c43806e6d1f82c2945e12ae500f03b2/status.svg)](https://joss.theoj.org/papers/7c43806e6d1f82c2945e12ae500f03b2)

## FAQ/Issues:

If you encounter an issue with the code, or if you want to suggest extra features or changes in the code, please submit an issue at https://gitlab.com/binary_c/binary_c-python/-/issues/new.

Here we provide a non-exhaustive list of some issues we encountered and solutions for these:

>>>>>>> releases/0.9.6/2.2.3

Building issues with binary_c itself:

- see the documentation of binary_c (in doc/).

    # Add unit (in latex)

    if "unit" in description_dict:

        if description_dict["unit"] != dimensionless_unit:

            description_string = description_string + " Unit: [{}].".format(

            description_string = description_string + "\n\n\n\nUnit: [{}].".format(

                description_dict["unit"].to_string("latex_inline")

            )

    ##############

    # Check if there are newlines, and replace them by newlines with indent

    description_string = description_string.replace("\n", "\n       ")

    return description_string