- warning:
penaltymodel is deprecated. For solving problems with constraints, we recommend using the hybrid solvers in the Leap :tm: service. You can find documentation for the hybrid solvers at https://docs.dwavequantum.com.
penaltymodel
One approach to solve a constraint satisfaction problem (CSP) using an Ising model or a QUBO, is to map each individual constraint in the CSP to a ‘small’ Ising model or QUBO. This mapping is called a penalty model.
For more information, see penalty models.
Installation
To install the core package:
pip install penaltymodelLicense
Released under the Apache License 2.0
Contributing
Ocean’s contributing guide has guidelines for contributing to Ocean packages.
Release Notes
penaltymodel makes use of reno to manage its release notes.
When making a contribution to penaltymodel that will affect users, create a new release note file by running
reno new your-short-descriptor-hereYou can then edit the file created under releasenotes/notes/. Remove any sections not relevant to your changes. Commit the file along with your changes.
See reno’s user guide for details.
2 maintainers
Metadata
2 maintainers
Release files for penaltymodel 1.3.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| penaltymodel-1.3.0-py3-none-any.whl | Python 3 | none | any | Details for penaltymodel-1.3.0-py3-none-any.whl |
Total release size: 68.4 kB
Release files / penaltymodel-1.3.0.tar.gz
| Download URL | penaltymodel-1.3.0.tar.gz |
|---|---|
| Size | 32.2 kB |
| Tags | Source |
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Release files / penaltymodel-1.3.0-py3-none-any.whl
| Download URL | penaltymodel-1.3.0-py3-none-any.whl |
|---|---|
| Size | 36.1 kB |
| Tags | Python 3 |
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No |
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twine/6.1.0 CPython/3.9.23
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Security for penaltymodel 1.3.0
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