Installation¶
There are several different ways to install the asdf
package. Each is
described in detail below.
Requirements¶
The asdf
package has the following dependencies:
- python 3.3 or later
- numpy 1.8 or later
- jsonschema 2.3.0 or later
- pyyaml 3.10 or later
- semantic_version 2.3.1 or later
- six 1.9.0 or later
Support for units, time, transform, wcs, or running the tests also requires:
- astropy 3.0 or later
Optional support for lz4 compression is provided by:
- lz4 0.10 or later
Also required for running the tests:
Installing with pip¶
Stable releases of the ASDF Python package are registered at
PyPi. The latest stable version
can be installed using pip
:
$ pip install asdf
Installing with conda¶
ASDF is also distributed as a conda package via the conda-forge channel. It is also available through the astroconda channel.
To install asdf
within an existing conda environment:
$ conda install -c conda-forge asdf
To create a new conda environment and install asdf
:
$ conda create -n new-env-name -c conda-forge python asdf
Building from source¶
The latest development version of ASDF is available from the master
branch
on github. To clone the project:
$ git clone https://github.com/spacetelescope/asdf
To install:
$ cd asdf
$ python3 setup.py install
To install in development mode:
$ python3 setup.py develop
Note
The source repository makes use of a git submodule for referencing the schemas provided by the ASDF standard. While this submodule is automatically initialized when installing the package (including in development mode), it may be necessary for developers to manually update the submodule if changes are made upstream. See the documentation on git submodules for more information.
Running the tests¶
To run the unit tests from a source checkout of the repository:
$ python3 setup.py test
It is also possible to run the test suite from an installed version of the package. In a Python interpreter:
import asdf
asdf.test()
Please note that the astropy package must be installed to run the tests.