pytest-astropy 0.11.0

Creator: bradpython12

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Description:

pytestastropy 0.11.0

This is a meta-package that pulls in the dependencies that are used by
astropy and some affiliated packages for testing. It can also be used for
testing packages that are not affiliated with the Astropy project.
This package also provides pytest markers for cpu and memory intensive tests
(pytest.mark.slow and pytest.mark.hugemem). Tests marked with those
markers are not run by default, can be run with the other tests with
--run-slow and --run-hugemem, and can be run separately with -m slow
and -m hugemem.
The package also provides the short option -R for --remote-data.

Dependencies
The following dependencies are installed by this package:

The pytest testing framework for Python.
pytest-astropy-header, a pytest plugin used for custom test header.
pytest-remotedata, a pytest plugin used for controlling access to data
files hosted online.
pytest-doctestplus, a pytest plugin that provides advanced features
for testing example code in documentation.
pytest-arraydiff, a pytest plugin that enables the generation and
comparison of data arrays produced during unit tests.
pytest-filter-subpackage, a pytest plugin that adds a -P option to
pytest to filter by sub-package.
pytest-mock, a thin-wrapper around the mock package for easier use
with pytest.
pytest-cov, a pytest plugin to measure test coverage.
hypothesis, a Python library for property based testing.



Installation
The pytest-astropy plugin can be installed using pip:
$ pip install pytest-astropy
It is also possible to install the latest development version from the source
repository:
$ git clone https://github.com/astropy/pytest-astropy
$ cd pytest-astropy
$ python ./setup.py install
In either case, the plugin will automatically be registered for use with
pytest.


Development Status
Questions, bug reports, and feature requests can be submitted on github.


License
This package is licensed under a 3-clause BSD style license - see the
LICENSE.rst file.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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