RandStrategyTwelveUniform

class poisson_approval.RandStrategyTwelveUniform(profile=None, voting_rule=None, d_ranking_fixed_strategy=None)[source]

A random factory of twelve-type strategies (StrategyTwelve) following the uniform distribution.

Parameters:
  • profile (Profile, optional) –
  • voting_rule (str, optional) – The voting rule. Possible values are APPROVAL, PLURALITY and ANTI_PLURALITY. Default: the same voting rule as profile if a profile is specified, APPROVAL otherwise.
  • d_ranking_fixed_strategy (dict) – Key: ranking. Value: fixed strategy. Cf. examples below.

Examples

Basic usage:

>>> initialize_random_seeds()
>>> rand_strategy = RandStrategyTwelveUniform()
>>> strategy = rand_strategy()
>>> print(strategy)
<abc: ab, acb: ac, bac: b, bca: bc, cab: utility-dependent, cba: bc>

Specify a profile:

>>> from poisson_approval import ProfileTwelve
>>> profile = ProfileTwelve({'ab_c': 0.5, 'a_bc': 0.25, 'b_ac': 0.25})
>>> rand_strategy = RandStrategyTwelveUniform(profile=profile)
>>> strategy = rand_strategy()
>>> print(strategy)
<abc: ab, bac: ab> ==> a, b

Specify some fixed strategies:

>>> rand_strategy = RandStrategyTwelveUniform(
...     d_ranking_fixed_strategy={'abc': 'a', 'acb': 'a', 'bac': 'b', 'bca': UTILITY_DEPENDENT})
>>> print(rand_strategy())
<abc: a, acb: a, bac: b, bca: utility-dependent, cab: utility-dependent, cba: utility-dependent>
>>> print(rand_strategy())
<abc: a, acb: a, bac: b, bca: utility-dependent, cab: utility-dependent, cba: bc>
>>> print(rand_strategy())
<abc: a, acb: a, bac: b, bca: utility-dependent, cab: ac, cba: utility-dependent>