Metadata-Version: 2.1
Name: parasweep
Version: 2019.2
Summary: Utility for facilitating parallel parameter sweeps.
Home-page: https://github.com/eviatarbach/parasweep
Author: Eviatar Bach
Author-email: eviatarbach@protonmail.com
License: MIT license
Description: =========
        parasweep
        =========
        
        .. image:: https://img.shields.io/pypi/v/parasweep.svg
                :target: https://pypi.python.org/pypi/parasweep
        
        .. image:: https://readthedocs.org/projects/parasweep/badge/?version=latest
                :target: https://parasweep.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        parasweep is a free and open-source Python utility for facilitating parallel
        parameter sweeps with computational models. Instead of requiring parameters to
        be passed by command-line, which can be error-prone and time-consuming,
        parasweep leverages the model's existing configuration files using a template
        system, requiring minimal code changes. After the sweep values are specified,
        a parallel job is dispatched for each parameter set, with support for common
        high-performance computing job schedulers. Post-processing is facilitated by
        providing a mapping between the parameter sets and the simulations.
        
        * Free software: MIT license
        * Documentation: https://parasweep.readthedocs.io.
        
        Usage
        -----
        
        See the :doc:`examples` and the documentation for
        :func:`~parasweep.sweep.run_sweep` for full usage details.
        
        Dependencies
        ------------
        
        * Python 3
        * xarray
        * numpy
        * Mako (optional)
        * drmaa-python (optional)
        
        Credits
        -------
        
        Developed by `Eviatar Bach <http://eviatarbach.com/>`_ <eviatarbach@protonmail.com>.
        
        This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
        
        .. _Cookiecutter: https://github.com/audreyr/cookiecutter
        .. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
        
        
        =======
        History
        =======
        
        2019.02 (2019-02-07)
        --------------------
        
        * Separating sweep logic into a separate module.
        * Adding FilteredCartesianSweep sweep type.
        * Numerous documentation changes, including many more examples.
        
        2019.01 (2019-01-21)
        --------------------
        
        * First release on PyPI.
        
Keywords: parasweep
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Provides-Extra: Mako templates
Provides-Extra: DRMAA support
