semvec/pypi-packages huggingface dataset:
colossus 1.3.12
Cosmology, halo, and large-scale structure tools
License: MIT

Colossus
========

Colossus is an astrophysics toolkit, the name is an acronym for **CO**\ smology, 
ha\ **LO**\ , and large-**S**\ cale **S**\ tr\ **U**\ cture tool\ **S**\ . Please consult 
the `Online Documentation <https://bdiemer.bitbucket.io/colossus/>`__ for details.

Installation
------------

The easiest way to install Colossus is by executing:

.. code:: shell

    pip install colossus

You might need to prefix this command with ``sudo``. Alternatively, you can clone the BitBucket repository by executing:

.. code:: shell

   git clone git@bitbucket.org:bdiemer/colossus.git

After installing colossus, you should run its unit test suite to ensure that the code works as expected. In python, execute:

.. code:: shell

    from colossus.tests import run_tests

The output should look something like this:

.. code:: shell

    test_home_dir (colossus.tests.test_utils.TCGen) ... ok
    test_Ez (colossus.tests.test_cosmology.TCComp) ... ok
    ...
    test_DK14ConstructorOuter (colossus.tests.test_halo_profile.TCDK14) ... ok
    test_DK14ConstructorWrapper (colossus.tests.test_halo_profile.TCDK14) ... ok
    
    ----------------------------------------------------------------------
    Ran 86 tests in 7.026s
    
    OK

If any errors occur, please send the output to the author.

License & Citing
----------------

Main Developer: Benedikt Diemer (diemer@umd.edu)

Contributors:   Matt Becker, Michael Joyce, Andrey Kravtsov, Steven Murray, Riccardo Seppi

License:        MIT. Copyright (c) 2014-2026

If you use Colossus for a publication, please cite the code paper 
(`Diemer 2018 <https://ui.adsabs.harvard.edu/abs/2018ApJS..239...35D/abstract>`__). Many 
Colossus routines implement the results of other papers. If you use such routines, please take care 
to cite the relevant papers as well (they will be mentioned in the function and/or module 
documentation).