Metadata-Version: 2.1
Name: pref-voting
Version: 1.13.30
Summary: pref_voting is a Python package that contains tools to reason about elections and margin graphs, and implementations of voting methods.
Home-page: https://github.com/voting-tools/pref_voting
License: MIT
Author: Eric Pacuit
Author-email: epacuit@umd.edu
Requires-Python: >=3.6,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: filelock (>=3.12.2,<4.0.0)
Requires-Dist: matplotlib (>=3.5.2,<4.0.0)
Requires-Dist: nashpy (>=0.0.40,<0.0.41)
Requires-Dist: networkx (>=3.0,<4.0)
Requires-Dist: numba (>=0.58.0,<0.59.0)
Requires-Dist: ortools (>=9.8.0,<10.0.0)
Requires-Dist: prefsampling (>=0.1.16,<0.2.0)
Requires-Dist: random2 (>=1.0.1,<2.0.0)
Requires-Dist: scipy (>=1.0.0,<2.0.0)
Requires-Dist: tabulate (>=0.9.0,<0.10.0)
Project-URL: Repository, https://github.com/voting-tools/pref_voting
Description-Content-Type: text/markdown

pref_voting
==========

## Installation

With pip package manager:

```bash
pip install pref_voting
```

## Documentation

Online documentation is available at [https://pref-voting.readthedocs.io](https://pref-voting.readthedocs.io).

## Example Usage

A profile (of linear orders over the candidates) is created by initializing a `Profile` class object.  Simply provide a list of rankings (each ranking is a tuple of numbers) and a list giving the number of voters with each ranking:

```python
from pref_voting.profiles import Profile

rankings = [
    (0, 1, 2, 3), 
    (2, 3, 1, 0), 
    (3, 1, 2, 0), 
    (1, 2, 0, 3), 
    (1, 3, 2, 0)]

rcounts = [5, 3, 2, 4, 3]

prof = Profile(rankings, rcounts=rcounts)
```

The function `generate_profile` is used to generate a profile for a given number of candidates and voters:  

```python
from pref_voting.generate_profiles import generate_profile

# generate a profile using the Impartial Culture probability model
prof = generate_profile(3, 4) # prof is a Profile object

# generate a profile using the Impartial Anonymous Culture probability model
prof = generate_profile(3, 4, probmod = "IAC") # prof is a Profile object 
```

To use one of the many voting methods, import the function from `pref_voting.voting_methods` and apply it to the profile: 

```python
from pref_voting.generate_profiles import generate_profile
from pref_voting.voting_methods import *

prof = generate_profile(3, 4)
split_cycle(prof) # returns the sorted list of winning candidates
split_cycle.display(prof) # display the winning candidates

```

## Questions?

Feel free to [send an email](https://pacuit.org/) if you have questions about the project.

## License

[MIT](https://github.com/jontingvold/pyrankvote/blob/master/LICENSE.txt)

