Source code for whalrus.rules.rule_nanson

# -*- coding: utf-8 -*-
Copyright Sylvain Bouveret, Yann Chevaleyre and Fran├žois Durand,,

This file is part of Whalrus.

Whalrus is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

Whalrus is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with Whalrus.  If not, see <>.
from whalrus.rules.rule import Rule
from whalrus.rules.rule_iterated_elimination import RuleIteratedElimination
from whalrus.rules.rule_borda import RuleBorda
from whalrus.eliminations.elimination import Elimination
from whalrus.eliminations.elimination_below_average import EliminationBelowAverage

[docs]class RuleNanson(RuleIteratedElimination): """ Nanson's rule. At each round, all candidates whose Borda score is lower than the average Borda score are eliminated. Parameters ---------- args Cf. parent class. base_rule : Rule Default: :class:`RuleBorda`. elimination : Elimination Default: :class:`EliminationBelowAverage`. kwargs Cf. parent class. Examples -------- >>> rule = RuleNanson(['a > b > c > d', 'a > b > d > c']) >>> rule.eliminations_[0].rule_.gross_scores_ {'a': 6, 'b': 4, 'c': 1, 'd': 1} >>> rule.eliminations_[1].rule_.gross_scores_ {'a': 2, 'b': 0} >>> rule.eliminations_[2].rule_.gross_scores_ {'a': 0} >>> rule.winner_ 'a' """ def __init__(self, *args, base_rule: Rule = None, elimination: Elimination = None, **kwargs): if base_rule is None: base_rule = RuleBorda() if elimination is None: elimination = EliminationBelowAverage() super().__init__(*args, base_rule=base_rule, elimination=elimination, **kwargs)