This release is a pre-release and may not be stable for production use.
Ipopt (Interior Point OPTimizer, pronounced eye-pea-opt) is a software package for large-scale nonlinear optimization. Ipopt is available from the COIN-OR initiative, under the Eclipse Public License (EPL).
cyipopt is a Python wrapper around Ipopt. It enables using Ipopt from the comfort of the Python programming language.
Status
Anaconda |
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PyPI |
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Read the Docs |
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History
This repository was forked in 2016 from https://bitbucket.org/amitibo/cyipopt and is now considered the primary repository. The fork includes a SciPy-style interface and ability to handle exceptions in the callback functions.
As of version 1.1.0 (2021-09-07), the distribution is released under the name “cyipopt” on PyPi (https://pypi.org/project/cyipopt). Before version 1.1.0, it was released under the name “ipopt” (https://pypi.org/project/ipopt).
Installation
We recommend using conda to install cyipopt on Linux, Mac, and Windows:
conda install -c conda-forge cyipopt
Other installation options are present in the documentation.
Building manylinux wheels
manylinux wheels can be built for a tagged version (GIT_TAG below) of cyipopt via docker by running (while in the root of this repo):
docker run -v $(pwd):/wheels --rm --platform=linux/amd64 quay.io/pypa/manylinux_2_28_x86_64 bash /wheels/build_manylinux_wheels.sh GIT_TAG
for linux/amd64 and:
docker run -v $(pwd):/wheels --rm --platform=linux/aarch64 quay.io/pypa/manylinux_2_28_aarch64 bash /wheels/build_manylinux_wheels.sh GIT_TAG
for linux/aarch64 platforms. Built wheels appear at the folder the command was executed from.
Using in Pyodide (browser/WASM)
cyipopt can run in the browser via Pyodide, with Ipopt compiled to WebAssembly. Pre-built wheels are available from GitHub releases.
Install with micropip in a Pyodide environment:
import micropip
await micropip.install(
"https://github.com/mechmotum/cyipopt/releases/download/VERSION/cyipopt-VERSION-cp312-cp312-pyodide_2024_0_wasm32.whl"
)Then use it normally:
import numpy as np
from cyipopt import minimize_ipopt
from scipy.optimize import rosen, rosen_der
x0 = np.array([1.3, 0.7, 0.8, 1.9, 1.2])
res = minimize_ipopt(rosen, x0, jac=rosen_der)
print(res.x)Full example: see the grecov calculator for a working web app that uses cyipopt in Pyodide to solve nonlinear optimization problems entirely in the browser.
License
cyipopt is open-source code released under the EPL license, see the LICENSE file.
Contributing
For bug reports, feature requests, comments, patches use the GitHub issue tracker and/or pull request system.
Contributors (made with contrib.rocks):
1 maintainer
Metadata
1 maintainer
Release files for cyipopt-wheels 1.7.0.dev0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
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Built distributions (wheels)
Total release size: 537.7 MB
Release files / cyipopt_wheels-1.7.0.dev0.tar.gz
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