Source code for whalrus.scorers.scorer_bucklin

# -*- coding: utf-8 -*-
"""
Copyright Sylvain Bouveret, Yann Chevaleyre and François Durand
sylvain.bouveret@imag.fr, yann.chevaleyre@dauphine.fr, fradurand@gmail.com

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
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
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 <http://www.gnu.org/licenses/>.
"""
from whalrus.ballots.ballot_order import BallotOrder
from whalrus.utils.utils import cached_property, NiceDict, my_division
from whalrus.scorers.scorer import Scorer
from typing import Union


[docs]class ScorerBucklin(Scorer): """ Scorer for Bucklin's rule. Parameters ---------- args Cf. parent class. k : int The number of points to distribute. Intuitively: the ``k`` candidates at the highest ranks will receive 1 point each. In case of tie, some points may be divided between the tied candidates (see below). unordered_receive_points : bool or None. Whether unordered candidates should receive points (see below). absent_receive_points : bool or None. Whether absent candidates should receive points (see below). kwargs Cf. parent class. Examples -------- Typical usage: >>> ScorerBucklin(BallotOrder('a > b > c > d > e'), ... candidates={'a', 'b', 'c', 'd', 'e'}, k=2).scores_ {'a': 1, 'b': 1, 'c': 0, 'd': 0, 'e': 0} In the example below, candidates `a`, `b` and `c` are "ordered", `d` and `e` are "unordered", and `f` and `g` are "absent" in the ballot, meaning that they were not even available when the voter cast her ballot. By default, we count as if the unordered candidates were below the ordered candidates, and the absent candidates even lower: >>> ballot = BallotOrder('a > b ~ c', candidates={'a', 'b', 'c', 'd', 'e'}) >>> candidates_election = {'a', 'b', 'c', 'd', 'e', 'f', 'g'} >>> ScorerBucklin(ballot, candidates=candidates_election, k=2).scores_as_floats_ {'a': 1.0, 'b': 0.5, 'c': 0.5, 'd': 0.0, 'e': 0.0, 'f': 0.0, 'g': 0.0} >>> ScorerBucklin(ballot, candidates=candidates_election, k=4).scores_as_floats_ {'a': 1.0, 'b': 1.0, 'c': 1.0, 'd': 0.5, 'e': 0.5, 'f': 0.0, 'g': 0.0} >>> ScorerBucklin(ballot, candidates=candidates_election, k=6).scores_as_floats_ {'a': 1.0, 'b': 1.0, 'c': 1.0, 'd': 1.0, 'e': 1.0, 'f': 0.5, 'g': 0.5} Using the options, unordered and/or absent candidates can always receive 0 point, or even not be mentioned in the score dictionary at all: >>> ScorerBucklin(ballot, candidates=candidates_election, k=6, ... unordered_receive_points=False, absent_receive_points=None).scores_ {'a': 1, 'b': 1, 'c': 1, 'd': 0, 'e': 0} """ def __init__(self, *args, k: int = 1, unordered_receive_points: Union[bool, None] = True, absent_receive_points: Union[bool, None] = True, **kwargs): self.k = k self.absent_receive_points = absent_receive_points self.unordered_receive_points = unordered_receive_points super().__init__(*args, **kwargs) @property def k(self): return self._k @k.setter def k(self, value): self.delete_cache() self._k = value @cached_property def scores_(self) -> NiceDict: scores = NiceDict() points_remaining = self.k # Ordered candidates for indifference_class in self.ballot_.as_weak_order[:]: n_indifference = len(indifference_class) if n_indifference <= points_remaining: scores.update({c: 1 for c in indifference_class}) points_remaining -= n_indifference else: scores.update({c: my_division(points_remaining, n_indifference) for c in indifference_class}) points_remaining = 0 # Unordered candidates if self.unordered_receive_points is False: scores.update({c: 0 for c in self.ballot_.candidates_not_in_b}) elif self.unordered_receive_points is True: unordered = self.ballot_.candidates_not_in_b n_unordered = len(unordered) if n_unordered <= points_remaining: scores.update({c: 1 for c in unordered}) points_remaining -= n_unordered else: scores.update({c: my_division(points_remaining, n_unordered) for c in unordered}) points_remaining = 0 # Absent candidates if self.absent_receive_points is False: scores.update({c: 0 for c in self.candidates_ - self.ballot_.candidates}) elif self.absent_receive_points is True: absent = self.candidates_ - self.ballot_.candidates n_absent = len(absent) if n_absent <= points_remaining: scores.update({c: 1 for c in absent}) else: scores.update({c: my_division(points_remaining, n_absent) for c in absent}) return scores