- class svvamp.RuleKApproval(k=1, **kwargs)[source]#
k-Approval.
- Parameters:
k (int) – Number of approved candidates per ballot.
Options
------- –
>>> RuleKApproval.print_options_parameters() cm_option: ['exact']. Default: 'exact'. icm_option: ['exact']. Default: 'exact'. iia_subset_maximum_size: is_number. Default: 2. im_option: ['exact']. Default: 'exact'. k: is_number. Default: 1. tm_option: ['exact']. Default: 'exact'. um_option: ['exact']. Default: 'exact'.
Notes
Each voter votes for k candidates. The candidate with most approvals is declared the winner. In case of a tie, the tied candidate with lowest index wins. Sincere voters vote for their k top candidates.
is_iia()
: Non-polynomial or non-exact algorithms from superclassRule
.is_cm_()
,is_icm_()
,is_im_()
,is_tm_()
,is_um_()
: Exact in polynomial time.
Examples
>>> profile = Profile(preferences_ut=[ ... [ 0. , -0.5, -1. ], ... [ 1. , -1. , 0.5], ... [ 0.5, 0.5, -0.5], ... [ 0.5, 0. , 1. ], ... [-1. , -1. , 1. ], ... ], preferences_rk=[ ... [0, 1, 2], ... [0, 2, 1], ... [1, 0, 2], ... [2, 0, 1], ... [2, 1, 0], ... ]) >>> rule = RuleKApproval(k=2)(profile) >>> rule.demo_results_(log_depth=0) ************************ * * * Election Results * * * ************************ *************** * Results * *************** profile_.preferences_ut (reminder) = [[ 0. -0.5 -1. ] [ 1. -1. 0.5] [ 0.5 0.5 -0.5] [ 0.5 0. 1. ] [-1. -1. 1. ]] profile_.preferences_rk (reminder) = [[0 1 2] [0 2 1] [1 0 2] [2 0 1] [2 1 0]] ballots = [[ True True False] [ True False True] [ True True False] [ True False True] [False True True]] scores = [4 3 3] candidates_by_scores_best_to_worst [0 1 2] scores_best_to_worst [4 3 3] w = 0 score_w = 4 total_utility_w = 1.0 ********************************* * Condorcet efficiency (rk) * ********************************* w (reminder) = 0 condorcet_winner_rk_ctb = 0 w_is_condorcet_winner_rk_ctb = True w_is_not_condorcet_winner_rk_ctb = False w_missed_condorcet_winner_rk_ctb = False condorcet_winner_rk = 0 w_is_condorcet_winner_rk = True w_is_not_condorcet_winner_rk = False w_missed_condorcet_winner_rk = False *************************************** * Condorcet efficiency (relative) * *************************************** w (reminder) = 0 condorcet_winner_ut_rel_ctb = 0 w_is_condorcet_winner_ut_rel_ctb = True w_is_not_condorcet_winner_ut_rel_ctb = False w_missed_condorcet_winner_ut_rel_ctb = False condorcet_winner_ut_rel = 0 w_is_condorcet_winner_ut_rel = True w_is_not_condorcet_winner_ut_rel = False w_missed_condorcet_winner_ut_rel = False *************************************** * Condorcet efficiency (absolute) * *************************************** w (reminder) = 0 condorcet_admissible_candidates = [ True False False] w_is_condorcet_admissible = True w_is_not_condorcet_admissible = False w_missed_condorcet_admissible = False weak_condorcet_winners = [ True False False] w_is_weak_condorcet_winner = True w_is_not_weak_condorcet_winner = False w_missed_weak_condorcet_winner = False condorcet_winner_ut_abs_ctb = 0 w_is_condorcet_winner_ut_abs_ctb = True w_is_not_condorcet_winner_ut_abs_ctb = False w_missed_condorcet_winner_ut_abs_ctb = False condorcet_winner_ut_abs = 0 w_is_condorcet_winner_ut_abs = True w_is_not_condorcet_winner_ut_abs = False w_missed_condorcet_winner_ut_abs = False resistant_condorcet_winner = nan w_is_resistant_condorcet_winner = False w_is_not_resistant_condorcet_winner = True w_missed_resistant_condorcet_winner = False >>> rule.demo_manipulation_(log_depth=0) ***************************** * * * Election Manipulation * * * ***************************** ********************************************* * Basic properties of the voting system * ********************************************* with_two_candidates_reduces_to_plurality = False is_based_on_rk = True is_based_on_ut_minus1_1 = False meets_iia = False **************************************************** * Manipulation properties of the voting system * **************************************************** Condorcet_c_ut_rel_ctb (False) ==> Condorcet_c_ut_rel (False) || || || Condorcet_c_rk_ctb (False) ==> Condorcet_c_rk (False) || || || || || || || V V || || V V Condorcet_c_ut_abs_ctb (False) ==> Condorcet_ut_abs_c (False) || || || || || V V || || maj_fav_c_rk_ctb (False) ==> maj_fav_c_rk (False) || || || || || V V V V majority_favorite_c_ut_ctb (False) ==> majority_favorite_c_ut (False) || || V V IgnMC_c_ctb (False) ==> IgnMC_c (False) || || V V InfMC_c_ctb (False) ==> InfMC_c (False) ***************************************************** * Independence of Irrelevant Alternatives (IIA) * ***************************************************** w (reminder) = 0 is_iia = True log_iia: iia_subset_maximum_size = 2.0 example_winner_iia = nan example_subset_iia = nan ********************** * c-Manipulators * ********************** w (reminder) = 0 preferences_ut (reminder) = [[ 0. -0.5 -1. ] [ 1. -1. 0.5] [ 0.5 0.5 -0.5] [ 0.5 0. 1. ] [-1. -1. 1. ]] v_wants_to_help_c = [[False False False] [False False False] [False False False] [False False True] [False False True]] ************************************ * Individual Manipulation (IM) * ************************************ is_im = False log_im: im_option = exact candidates_im = [0. 0. 0.] ********************************* * Trivial Manipulation (TM) * ********************************* is_tm = False log_tm: tm_option = exact candidates_tm = [0. 0. 0.] ******************************** * Unison Manipulation (UM) * ******************************** is_um = False log_um: um_option = exact candidates_um = [0. 0. 0.] ********************************************* * Ignorant-Coalition Manipulation (ICM) * ********************************************* is_icm = False log_icm: icm_option = exact candidates_icm = [0. 0. 0.] necessary_coalition_size_icm = [ 0. 11. 8.] sufficient_coalition_size_icm = [ 0. 11. 8.] *********************************** * Coalition Manipulation (CM) * *********************************** is_cm = False log_cm: cm_option = exact candidates_cm = [0. 0. 0.] necessary_coalition_size_cm = [0. 2. 5.] sufficient_coalition_size_cm = [0. 2. 5.]
- property ballots_#
2d array of values in {0, 1}.
ballots_[v, c] = 1
iff voterv
votes for candidatesc
.
- property scores_#
1d array of integers.
scores_[c]
is the number of approvals for candidatec
.