def_module_params('sat', 
                  export=True,
                  description='propositional SAT solver',
                  params=(max_memory_param(),
                          ('phase', SYMBOL, 'caching', 'phase selection strategy: always_false, always_true, caching, random'),
                          ('phase.caching.on', UINT, 400, 'phase caching on period (in number of conflicts)'),
                          ('phase.caching.off', UINT, 100, 'phase caching off period (in number of conflicts)'),
                          ('restart', SYMBOL, 'luby', 'restart strategy: luby or geometric'),
                          ('restart.initial', UINT, 100, 'initial restart (number of conflicts)'),
                          ('restart.factor', DOUBLE, 1.5, 'restart increment factor for geometric strategy'),
                          ('random_freq', DOUBLE, 0.01, 'frequency of random case splits'),
                          ('random_seed', UINT, 0, 'random seed'),
                          ('burst_search', UINT, 100, 'number of conflicts before first global simplification'),
                          ('max_conflicts', UINT, UINT_MAX, 'maximum number of conflicts'),
                          ('gc', SYMBOL, 'glue_psm', 'garbage collection strategy: psm, glue, glue_psm, dyn_psm'),
                          ('gc.initial', UINT, 20000, 'learned clauses garbage collection frequence'),
                          ('gc.increment', UINT, 500, 'increment to the garbage collection threshold'),
                          ('gc.small_lbd', UINT, 3, 'learned clauses with small LBD are never deleted (only used in dyn_psm)'),
                          ('gc.k', UINT, 7, 'learned clauses that are inactive for k gc rounds are permanently deleted (only used in dyn_psm)'),
                          ('minimize_lemmas', BOOL, True, 'minimize learned clauses'),
                          ('dyn_sub_res', BOOL, True, 'dynamic subsumption resolution for minimizing learned clauses'),
                          ('core.minimize', BOOL, False, 'minimize computed core'),
                          ('core.minimize_partial', BOOL, False, 'apply partial (cheap) core minimization'),
                          ('optimize_model', BOOL, False, 'enable optimization of soft constraints'),
                          ('bcd', BOOL, False, 'enable blocked clause decomposition for equality extraction'),
                          ('dimacs.core', BOOL, False, 'extract core from DIMACS benchmarks')))