Skip to content
/ amuse Public
forked from amusecode/amuse

Astrophysical Multipurpose Software Environment. This is the main repository for AMUSE

License

Notifications You must be signed in to change notification settings

JPGlaser/amuse

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

AMUSE: The Astrophysical Multipurpose Software Environment

DOI PyPI version

This repository contains the AMUSE software. With AMUSE you can write scripts to simulate astrophysical problems in different domains.

The project website is:

and the documentation can be found at:

Getting Started

In short, most probably

pip install amuse

should get you going if you have a linux or Mac were you compile codes on (HDF5 and an MPI libraries must be installed).

Below are some hints for a quick install, if these fail please look for options at the detailed descriptions of the installation procedure in the documents in the 'doc/install' directory.

Compilers

To build AMUSE from source you need to have a working build environment. The AMUSE build system needs C/C++ and fortan 90 compilers, we recommend a recent version of GCC.

In Ubuntu you can setup the environment with (as root):

apt-get install build-essential curl g++ gfortran gettext zlib1g-dev

Other distributions have similar package or package groups available.

In macOS you can use the homebrew or macports package manager (both require the Apple Developer Tools and Xcode to be installed).

For a Windows 10 machine, AMUSE can be installed in the Windows Subsystem for linux (WSL), and installing e.g. Ubuntu from the Microsoft store. Its recommended to use WSL 2. For further installation instructions, see the Linux install instructions.

Python

AMUSE needs Python 3 version >=3.7 installed preferably with pip and virtualenv. It may be necessary to update pip to a recent version. If you cannot use Python 3, legacy support for Python 2 is available in the AMUSE 12 release and the python2 branch.

Installing Prerequisites

The following libraries need to be installed:

  • HDF (version 1.6.5 - 1.12.x)
  • MPI (OpenMPI or MPICH)

The following are needed for some codes:

  • FFTW (version >= 3.0)
  • GSL
  • CMake (version >= 2.4)
  • GMP (version >= 4.2.1)
  • MPFR (version >= 2.3.1)

Installing+building AMUSE

AMUSE can be installed through pip:

pip install [--user] amuse

This will build and install AMUSE with an extensive set of codes. If necessary this will also install some required Python packages:

  • Numpy (version >= 1.3.0)
  • h5py (version >= 1.2.2)
  • mpi4py (version >= 1.1.0)
  • pytest (version >= 5.0)
  • docutils (version >= 0.6)

If you are not using pip these must be installed by hand.

It is possible to install the minimal framework by:

pip install [--user] amuse-framework

This does not include any codes. These can be added

pip install [--user] amuse-<code name>

AMUSE Development

An AMUSE development install can also be handled through pip by executing (in the root of a clone of the repository)

pip install -e .

after this the codes need to be build:

python setup.py develop_build

Running the tests

AMUSE comes with a large set of tests, most can be run automatically. To run these tests start the py.test command from the main amuse directory (directory this README file lives in).

To run these tests do:

  1. install the tests
pip install [--user] amuse-tests

(this will install all tests whether or not you have installed the full amuse package)

  1. Run the automatic tests
pytest --pyargs -v amuse.test.suite

you can also just run the tests for the specific packages you have installed e.g.

pytest --pyargs amuse.test.suite.codes_tests.test_huayno

you may have to prefix mpiexec -n 1 --oversubscribe to the pytest command.

About

Astrophysical Multipurpose Software Environment. This is the main repository for AMUSE

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • AMPL 41.4%
  • C 25.6%
  • Fortran 12.2%
  • Python 10.8%
  • C++ 6.1%
  • Cuda 1.1%
  • Other 2.8%