Simulator of Various Voting Algorithms in Manipulating Populations
Project description
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
svvamp-0.14.0.tar.gz
(1.3 MB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
svvamp-0.14.0-py3-none-any.whl
(367.0 kB
view details)
File details
Details for the file svvamp-0.14.0.tar.gz.
File metadata
- Download URL: svvamp-0.14.0.tar.gz
- Upload date:
- Size: 1.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4a59bfb7397729b61778abf57c14638d55d4c577708fae976992a0410a5c2b2b
|
|
| MD5 |
bab84807e81fd59f975eac95e7f0d6e4
|
|
| BLAKE2b-256 |
b206b9c3f204d7475ab7e7322e98ff3369ad49184abd9aa23886792de1a015c3
|
File details
Details for the file svvamp-0.14.0-py3-none-any.whl.
File metadata
- Download URL: svvamp-0.14.0-py3-none-any.whl
- Upload date:
- Size: 367.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f2f23813f3a7d36cb44bd335c0d3bfd2b2c8eeedf5d8a1daed9812cd11c1c017
|
|
| MD5 |
a4832e279e385b4684c36461fe37badf
|
|
| BLAKE2b-256 |
10a19fe153c9db19a77fcdf0ae62adb7dcb1d324a04a238165ad42e0ba0ec9de
|