An everest-optimizers optimizer plugin for ropt
This package installs a plugin for the
ropt robust optimization package,
providing access to algorithms provided by the everest-optimizers optimization
package.
ropt-eo 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).
See also the online ropt and
ropt-eo manuals for more
information.
Dependencies
This code has been tested with Python versions 3.11-3.14.
The plugin depends on the everest-optimizers Python wrappers of various optimization algorithms.
Installation
From PyPI:
pip install ropt-eo
Development
The ropt-eo source distribution can be found on
GitHub. It uses a standard
pyproject.toml file, which contains build information and configuration
settings for various tools. A development environment can be set up with
compatible tools of your choice.
The ropt-eo package uses ruff (for formatting
and linting), mypy (for static typing), and
pytest (for running the test suite).
1 maintainer
Metadata
1 maintainer
Release files for ropt-eo 0.29.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ropt_eo-0.29.0.tar.gz | 107.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ropt_eo-0.29.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 127.0 kB
Release files / ropt_eo-0.29.0.tar.gz
| Download URL | ropt_eo-0.29.0.tar.gz |
|---|---|
| Size | 107.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Yes |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / ropt_eo-0.29.0-py3-none-any.whl
| Download URL | ropt_eo-0.29.0-py3-none-any.whl |
|---|---|
| Size | 19.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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