SVVAMP
Simulator of Various Voting Algorithms in Manipulating Populations
- Free software: GNU General Public License v3
- Code: https://github.com/francois-durand/svvamp.
- Documentation: https://francois-durand.github.io/svvamp/.
Features
- Define profiles of voters with preferences over a set of candidates. Preferences can be generated by several probabilistic models, entered manually or imported from an external file.
- Compute the result of several voting rules (ballots, winner, scores, etc).
- Decide Condorcet notions.
- Decide Independence of Irrelevant Alternatives.
- Decide Individual Manipulation.
- Decide Coalitional Manipulation and variants: Ignorant-Coalition Manipulation, Trivial Manipulation and Unison Manipulation.
Credits
This package was created with Cookiecutter and the Package Helper 3 project template.
Release files for svvamp 0.15.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| svvamp-0.15.2.tar.gz | 1.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| svvamp-0.15.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.8 MB
Release files / svvamp-0.15.2.tar.gz
| Download URL | svvamp-0.15.2.tar.gz |
|---|---|
| Size | 1.4 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / svvamp-0.15.2-py3-none-any.whl
| Download URL | svvamp-0.15.2-py3-none-any.whl |
|---|---|
| Size | 398.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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