andrewtavis/poli-sci-kit

Add Adams method to appointment.methods.highest_averages

Open

#21 opened on Mar 30, 2021

View on GitHubContributor guide
 (0 comments) (0 reactions) (0 assignees)Python (9 forks)auto 404
featuregood first issuehelp wanted

Repository metrics

Stars
 (34 stars)
PR merge metrics
 (PR metrics pending)

Description

The Adams method, as described on Wikipedia, is another highest averages method that could be implemented. This method has been implemented in voting, but lacks the allocation conditions that poli-sci-kit provide.

This issue would be to add this method to appointment.methods.highest_averages in a way that allows for minimum allocations, tie break conditions, majority bonus rules, and other conditional rulesets.

Contributor guide

Research direction
Study the existing highest averages methods in poli sci kit, particularly the D'Hondt and Sainte Laguë implementations. Implement the Adams method using the same pattern, ensuring support for minimum allocations, tie break conditions, and majority bonus rules. Refer to the Wikipedia article and the voting library implementation for algorithmic details.
Tech stack
python
Domain
backend
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Pythonunderstanding of highest averages methods
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
65