Svvamp

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* Accelerate ``RuleMaximin.necessary_coalition_size_cm_`` and ``RuleMaximin.sufficient_coalition_size_cm_``.
* Add ``RuleMaximin.sufficient_coalition_size_um_c_``: number of manipulators that are sufficient (and necessary)
for UM.

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* Accelerate ``Profile``: lazy evaluation of attributes ``preferences_rk``, ``preferences_ut``, ``preferences_borda_rk``
and ``preferences_borda_ut``. This leads to a very significant acceleration for many methods (typically TM, UM and
IIA, but also CM and IM for some voting rules).

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* Add ``ExperimentsCompiler``: draw plots and prepare tables based on the results computed by ``ExperimentAnalyzer``
on several experiments.
* Accelerate ``RuleMajorityJudgment.necessary_coalition_size_cm_`` and
``RuleMajorityJudgment.sufficient_coalition_size_cm_``.

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* Fix PyPI deployment.

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* This release focuses on "meta" tools that make the simulations easier.

* Add ``StudyProfileCriteria``: a set of criteria to study for the simulator about the profiles.
* Add ``StudyRuleCriteria``: a set of criteria to study for the simulator about one or several voting rules.
* Add ``VotingRuleTasks``: a set of tasks for the simulator, i.e. which voting rules with which options and which
criteria about them.
* Add ``ExperimentAnalyzer``: a simulator designed to study small variations of a given profile.

* New features for ``Rule``:

* Add ``check_option_allowed``: check whether a pair (option, value) is allowed.
* Add ``cm_power_index_``: CM power index.
* Add ``elects_condorcet_winner_rk_even_with_cm_``: True if there is a Condorcet winner, she is elected by sincere
voting and it is not CM.
* Add ``is_tm_or_um_``: True iff the profile is TM or UM.
* Add ``log_``: log corresponding to a particular manipulation method.
* Add ``nb_candidates_cm_``: number of candidates who can benefit from CM.
* Add ``relative_social_welfare_w_``: relative social welfare of the winner.
* Add ``worst_relative_welfare_with_cm_``: worst relative social welfare (sincere winner or candidate who can benefit
from CM).
* Each rule now has two class attributes ``full_name`` (name of the rule) and ``abbreviation`` (abbreviation of the
name of the rule). For example, for ``RuleApproval``, it is ``Approval Voting`` and ``AV`` respectively.
* ``options_parameters`` is now a class attribute.
* Accelerate the generic brute-force algorithm for exact UM when the rule is based on rankings.

* New features for ``Profile``:

* Add property ``relative_social_welfare_c``: relative social welfare of each candidate.
* ``preferences_rk``, ``preferences_ut``, ``preferences_borda_rk`` and ``preferences_borda_ut`` are now properties.

* Minor changes:

* ``GeneratorProfile`` and all its subclasses now have a parameter ``sort_voters``, which is simply passed to
``Profile`` when creating each profile.
* ``ProfileGeneratorNoisedFile`` is renamed to ``GeneratorProfileNoisedFile``, for the sake of consistency with
other profile generators.
* ``RULE_CLASSES`` is renamed to ``ALL_RULE_CLASSES``.
* Add utility functions ``indent`` and ``pseudo_bool_not``.

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* ``Rule``: accelerate trivial manipulation (TM) for rules based on rankings.
* ``Profile``: compute ``preferences_borda_ut`` only when needed. In particular, if often accelerates trivial
manipulation (which relies on examining an alternate Profile object, with trivial strategy for manipulators).
* ``RuleMajorityJudgment``, ``RuleRangeVoting`` and ``RuleSTAR``: accelerate the computation of the ballots.

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