The ropt ensemble optimizer module
Project description
ropt
ropt
is a Python module for running robust optimization workflows.
ropt
is developed by the Netherlands Organisation for Applied Scientific
Research (TNO). All files in this repository are released under the GNU General
Public License v3.0 (a copy is provided in the LICENSE file).
Detailed documentation and examples can be found in the online manual.
Dependencies
ropt
has been tested with Python versions 3.8-3.12.
ropt
requires one or more optimization plugins to function. By default, a
plugin based on optimizers included with SciPy is
installed.
Installation
From PyPI:
pip install ropt
The following optional-dependencies can be installed to enable extra functionality:
pandas
: Enables support forpandas
export and tabular output.xarray
: Enables support for xarray and writing netCDF files.parsl
: Enables the parsl-based evaluator functionality.
Install with:
pip install ropt[<dep>]
where <dep> is one of the optional dependencies listed above. To install all:
pip install ropt[pandas,xarray,parsl]
Development
The ropt
source distribution can be found on
GitHub. To install from source, enter the
distribution directory and execute:
pip install .
Documentation is written using MkDocs
and
mkdocstrings
. To view it, install the
necessary dependencies and start the MkDocs
built-in server within the ropt
distribution directory:
pip install .[docs]
mkdocs serve
Running the tests
To run the test suite, install the necessary dependencies and execute pytest
:
pip install .[test]
pytest
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