TSTP Solution File: PUZ019-1 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : PUZ019-1 : TPTP v8.1.2. Bugfixed v5.1.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n020.cluster.edu
% Model : x86_64 x86_64
% CPU : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory : 8042.1875MB
% OS : Linux 3.10.0-693.el7.x86_64
% CPULimit : 300s
% WCLimit : 300s
% DateTime : Thu Aug 31 13:18:43 EDT 2023
% Result : Unsatisfiable 2.66s 0.77s
% Output : CNFRefutation 2.66s
% Verified :
% SZS Type : ERROR: Analysing output (Could not find formula named every_job_is_used)
% Comments :
%------------------------------------------------------------------------------
cnf('1',plain,
( has_job(steve,X)
| has_job(pete,X)
| has_job(thelma,X)
| has_job(roberta,X) ),
inference(cnf_transformation,[],[every_job_is_used]) ).
cnf('2',plain,
( ~ has_job(X,boxer)
| ~ has_job(Y,actor)
| ~ has_job(Z,teacher)
| ~ has_job(U,police)
| ~ has_job(V,operator)
| ~ has_job(W,nurse)
| ~ has_job(X2006,guard)
| ~ has_job(X2007,chef) ),
inference(cnf_transformation,[],[find_who_has_each_job]) ).
cnf('3',plain,
( has_job(roberta,nurse)
| has_job(pete,nurse)
| has_job(thelma,nurse)
| ~ has_job(X3006,chef)
| ~ has_job(W3,guard)
| ~ has_job(V3,operator)
| ~ has_job(U3,police)
| ~ has_job(Z3,teacher)
| ~ has_job(Y3,actor)
| ~ has_job(X3,boxer) ),
inference(resolution,[],['1','2']) ).
cnf('4',plain,
( ~ has_job(X,nurse)
| male(X) ),
inference(cnf_transformation,[],[nurse_is_male]) ).
cnf('5',plain,
( ~ female(X)
| ~ male(X) ),
inference(cnf_transformation,[],[males_are_not_female]) ).
cnf('6',plain,
female(roberta),
inference(cnf_transformation,[],[roberta_is_female]) ).
cnf('7',plain,
~ male(roberta),
inference(resolution,[],['5','6']) ).
cnf('8',plain,
~ has_job(roberta,nurse),
inference(resolution,[],['4','7']) ).
cnf('9',plain,
( ~ has_job(X,nurse)
| educated(X) ),
inference(cnf_transformation,[],[nurse_is_educated]) ).
cnf('10',plain,
~ educated(pete),
inference(cnf_transformation,[],[pete_is_not_educated]) ).
cnf('11',plain,
~ has_job(pete,nurse),
inference(resolution,[],['9','10']) ).
cnf('12',plain,
female(thelma),
inference(cnf_transformation,[],[thelma_is_female]) ).
cnf('13',plain,
~ male(thelma),
inference(resolution,[],['5','12']) ).
cnf('14',plain,
~ has_job(thelma,nurse),
inference(resolution,[],['4','13']) ).
cnf('15',plain,
( ~ has_job(X,chef)
| ~ has_job(Y,guard)
| ~ has_job(Z,operator)
| ~ has_job(U,police)
| ~ has_job(V,teacher)
| ~ has_job(W,actor)
| ~ has_job(X2006,boxer) ),
inference(simplify,[then_simplify],['3','8','11','14']) ).
cnf('16',plain,
( ~ has_job(X,chef)
| female(X) ),
inference(cnf_transformation,[],[chef_is_female]) ).
cnf('17',plain,
( ~ has_job(X,chef)
| ~ male(X) ),
inference(resolution,[],['16','5']) ).
cnf('18',plain,
male(steve),
inference(cnf_transformation,[],[steve_is_male]) ).
cnf('19',plain,
~ has_job(roberta,chef),
inference(cnf_transformation,[],[roberta_is_not_chef]) ).
cnf('20',plain,
( has_job(pete,chef)
| has_job(thelma,chef) ),
inference(resolution,[then_simplify],['17','1','18','19']) ).
cnf('21',plain,
male(pete),
inference(cnf_transformation,[],[pete_is_male]) ).
cnf('22',plain,
has_job(thelma,chef),
inference(resolution,[then_simplify],['20','17','21']) ).
cnf('23',plain,
( ~ has_job(X,boxer)
| ~ has_job(Y,actor)
| ~ has_job(Z,teacher)
| ~ has_job(U,police)
| ~ has_job(V,operator)
| ~ has_job(W,guard) ),
inference(resolution,[],['15','22']) ).
cnf('24',plain,
~ equal_jobs(actor,boxer),
inference(cnf_transformation,[],[actor_not_boxer]) ).
cnf('25',plain,
( ~ has_job(X,Y)
| ~ has_job(X,Z)
| ~ has_job(X,U)
| equal_jobs(Z,Y)
| equal_jobs(U,Y)
| equal_jobs(U,Z) ),
inference(cnf_transformation,[],[each_has_maximum_of_two_jobs]) ).
cnf('26',plain,
( ~ has_job(X,boxer)
| ~ has_job(X,actor)
| ~ has_job(X,Y)
| equal_jobs(Y,boxer)
| equal_jobs(Y,actor) ),
inference(resolution,[],['24','25']) ).
cnf('27',plain,
~ equal_jobs(operator,boxer),
inference(cnf_transformation,[],[operator_not_boxer]) ).
cnf('28',plain,
~ equal_jobs(operator,actor),
inference(cnf_transformation,[],[operator_not_actor]) ).
cnf('29',plain,
( ~ has_job(X,boxer)
| ~ has_job(X,actor)
| ~ has_job(X,operator) ),
inference(resolution,[then_simplify],['26','27','28']) ).
cnf('30',plain,
~ equal_jobs(nurse,boxer),
inference(cnf_transformation,[],[nurse_not_boxer]) ).
cnf('31',plain,
( ~ has_job(X,boxer)
| ~ has_job(X,nurse)
| ~ has_job(X,Y)
| equal_jobs(Y,boxer)
| equal_jobs(Y,nurse) ),
inference(resolution,[],['30','25']) ).
cnf('32',plain,
~ equal_jobs(police,boxer),
inference(cnf_transformation,[],[police_not_boxer]) ).
cnf('33',plain,
( ~ equal_jobs(X,Y)
| equal_jobs(Y,X) ),
inference(cnf_transformation,[],[symmetry_of_equal_jobs]) ).
cnf('34',plain,
~ equal_jobs(nurse,police),
inference(cnf_transformation,[],[nurse_not_police]) ).
cnf('35',plain,
~ equal_jobs(police,nurse),
inference(resolution,[],['33','34']) ).
cnf('36',plain,
( ~ has_job(X,boxer)
| ~ has_job(X,police)
| ~ has_job(X,nurse) ),
inference(resolution,[then_simplify],['31','32','35']) ).
cnf('37',plain,
~ has_job(roberta,boxer),
inference(cnf_transformation,[],[roberta_is_not_boxer]) ).
cnf('38',plain,
( ~ has_job(steve,police)
| ~ has_job(steve,nurse)
| has_job(pete,boxer)
| has_job(thelma,boxer) ),
inference(resolution,[then_simplify],['36','1','37']) ).
cnf('39',plain,
( ~ has_job(pete,actor)
| ~ has_job(pete,operator)
| ~ has_job(steve,police)
| ~ has_job(steve,nurse)
| has_job(thelma,boxer) ),
inference(resolution,[],['29','38']) ).
cnf('40',plain,
~ equal_jobs(operator,police),
inference(cnf_transformation,[],[operator_not_police]) ).
cnf('41',plain,
( ~ has_job(X,police)
| ~ has_job(X,operator)
| ~ has_job(X,Y)
| equal_jobs(Y,police)
| equal_jobs(Y,operator) ),
inference(resolution,[],['40','25']) ).
cnf('42',plain,
~ equal_jobs(nurse,operator),
inference(cnf_transformation,[],[nurse_not_operator]) ).
cnf('43',plain,
( ~ has_job(X,police)
| ~ has_job(X,operator)
| ~ has_job(X,nurse) ),
inference(resolution,[then_simplify],['41','34','42']) ).
cnf('44',plain,
( ~ has_job(X,police)
| educated(X) ),
inference(cnf_transformation,[],[police_is_educated]) ).
cnf('45',plain,
~ has_job(pete,police),
inference(resolution,[],['44','10']) ).
cnf('46',plain,
~ has_job(roberta,police),
inference(cnf_transformation,[],[roberta_is_not_police]) ).
cnf('47',plain,
( ~ has_job(steve,operator)
| ~ has_job(steve,nurse)
| has_job(thelma,police) ),
inference(resolution,[then_simplify],['43','1','45','46']) ).
cnf('48',plain,
( ~ has_job(X,police)
| ~ has_job(X,chef) ),
inference(cnf_transformation,[],[chef_is_not_also_police]) ).
cnf('49',plain,
has_job(thelma,chef),
inference(resolution,[then_simplify],['20','17','21']) ).
cnf('50',plain,
( ~ has_job(steve,operator)
| ~ has_job(steve,nurse) ),
inference(resolution,[then_simplify],['47','48','49']) ).
cnf('51',plain,
( ~ husband(X,Y)
| male(Y) ),
inference(cnf_transformation,[],[husband_is_male]) ).
cnf('52',plain,
~ husband(X,thelma),
inference(resolution,[],['51','13']) ).
cnf('53',plain,
( ~ has_job(X,operator)
| ~ has_job(Y,chef)
| husband(Y,X) ),
inference(cnf_transformation,[],[husband_of_chef_is_operator1]) ).
cnf('54',plain,
( ~ has_job(thelma,operator)
| ~ has_job(X,chef) ),
inference(resolution,[],['52','53']) ).
cnf('55',plain,
~ has_job(thelma,operator),
inference(resolution,[],['22','54']) ).
cnf('56',plain,
~ husband(X,roberta),
inference(resolution,[],['51','7']) ).
cnf('57',plain,
( ~ has_job(roberta,operator)
| ~ has_job(X,chef) ),
inference(resolution,[],['56','53']) ).
cnf('58',plain,
~ has_job(roberta,operator),
inference(resolution,[],['22','57']) ).
cnf('59',plain,
( ~ has_job(steve,nurse)
| has_job(pete,operator) ),
inference(resolution,[then_simplify],['50','1','55','58']) ).
cnf('60',plain,
( ~ has_job(pete,actor)
| ~ has_job(steve,police)
| ~ has_job(steve,nurse)
| has_job(thelma,boxer) ),
inference(simplify,[],['39','59']) ).
cnf('61',plain,
~ equal_jobs(guard,boxer),
inference(cnf_transformation,[],[guard_not_boxer]) ).
cnf('62',plain,
( ~ has_job(X,boxer)
| ~ has_job(X,guard)
| ~ has_job(X,Y)
| equal_jobs(Y,boxer)
| equal_jobs(Y,guard) ),
inference(resolution,[],['61','25']) ).
cnf('63',plain,
~ equal_jobs(chef,boxer),
inference(cnf_transformation,[],[chef_not_boxer]) ).
cnf('64',plain,
~ equal_jobs(chef,guard),
inference(cnf_transformation,[],[chef_not_guard]) ).
cnf('65',plain,
( ~ has_job(X,boxer)
| ~ has_job(X,guard)
| ~ has_job(X,chef) ),
inference(resolution,[then_simplify],['62','63','64']) ).
cnf('66',plain,
( ~ has_job(pete,actor)
| ~ has_job(steve,police)
| ~ has_job(steve,nurse)
| ~ has_job(thelma,guard) ),
inference(resolution,[then_simplify],['60','65','49']) ).
cnf('67',plain,
( ~ has_job(pete,actor)
| ~ has_job(steve,nurse)
| ~ has_job(thelma,guard)
| has_job(thelma,police) ),
inference(resolution,[then_simplify],['66','1','45','46']) ).
cnf('68',plain,
( ~ has_job(pete,actor)
| ~ has_job(steve,nurse)
| ~ has_job(thelma,guard) ),
inference(resolution,[then_simplify],['67','48','49']) ).
cnf('69',plain,
( ~ has_job(pete,actor)
| ~ has_job(thelma,guard) ),
inference(resolution,[then_simplify],['68','1','11','14','8']) ).
cnf('70',plain,
( ~ has_job(X,police)
| ~ has_job(X,nurse)
| ~ has_job(X,Y)
| equal_jobs(Y,police)
| equal_jobs(Y,nurse) ),
inference(resolution,[],['34','25']) ).
cnf('71',plain,
~ equal_jobs(police,actor),
inference(cnf_transformation,[],[police_not_actor]) ).
cnf('72',plain,
~ equal_jobs(actor,police),
inference(resolution,[],['33','71']) ).
cnf('73',plain,
~ equal_jobs(nurse,actor),
inference(cnf_transformation,[],[nurse_not_actor]) ).
cnf('74',plain,
~ equal_jobs(actor,nurse),
inference(resolution,[],['33','73']) ).
cnf('75',plain,
( ~ has_job(X,actor)
| ~ has_job(X,police)
| ~ has_job(X,nurse) ),
inference(resolution,[then_simplify],['70','72','74']) ).
cnf('76',plain,
( ~ has_job(X,actor)
| male(X) ),
inference(cnf_transformation,[],[actor_is_male]) ).
cnf('77',plain,
~ has_job(thelma,actor),
inference(resolution,[],['76','13']) ).
cnf('78',plain,
~ has_job(roberta,actor),
inference(resolution,[],['76','7']) ).
cnf('79',plain,
( ~ has_job(steve,police)
| ~ has_job(steve,nurse)
| has_job(pete,actor) ),
inference(resolution,[then_simplify],['75','1','77','78']) ).
cnf('80',plain,
( ~ has_job(steve,police)
| ~ has_job(steve,nurse)
| ~ has_job(thelma,guard) ),
inference(resolution,[],['69','79']) ).
cnf('81',plain,
( ~ has_job(steve,nurse)
| ~ has_job(thelma,guard)
| has_job(thelma,police) ),
inference(resolution,[then_simplify],['80','1','45','46']) ).
cnf('82',plain,
( ~ has_job(steve,nurse)
| ~ has_job(thelma,guard) ),
inference(resolution,[then_simplify],['81','48','49']) ).
cnf('83',plain,
~ has_job(thelma,guard),
inference(resolution,[then_simplify],['82','1','11','14','8']) ).
cnf('84',plain,
~ equal_jobs(guard,actor),
inference(cnf_transformation,[],[guard_not_actor]) ).
cnf('85',plain,
( ~ has_job(X,actor)
| ~ has_job(X,guard)
| ~ has_job(X,Y)
| equal_jobs(Y,actor)
| equal_jobs(Y,guard) ),
inference(resolution,[],['84','25']) ).
cnf('86',plain,
~ equal_jobs(operator,actor),
inference(cnf_transformation,[],[operator_not_actor]) ).
cnf('87',plain,
~ equal_jobs(guard,operator),
inference(cnf_transformation,[],[guard_not_operator]) ).
cnf('88',plain,
~ equal_jobs(operator,guard),
inference(resolution,[],['33','87']) ).
cnf('89',plain,
( ~ has_job(X,actor)
| ~ has_job(X,operator)
| ~ has_job(X,guard) ),
inference(resolution,[then_simplify],['85','86','88']) ).
cnf('90',plain,
( ~ has_job(pete,guard)
| ~ has_job(pete,operator)
| ~ has_job(steve,police)
| ~ has_job(steve,nurse) ),
inference(resolution,[],['79','89']) ).
cnf('91',plain,
( ~ has_job(pete,guard)
| ~ has_job(steve,police)
| ~ has_job(steve,nurse) ),
inference(simplify,[],['90','59']) ).
cnf('92',plain,
( ~ has_job(pete,guard)
| ~ has_job(steve,nurse)
| has_job(thelma,police) ),
inference(resolution,[then_simplify],['91','1','45','46']) ).
cnf('93',plain,
( ~ has_job(pete,guard)
| ~ has_job(steve,nurse) ),
inference(resolution,[then_simplify],['92','48','49']) ).
cnf('94',plain,
~ has_job(pete,guard),
inference(resolution,[then_simplify],['93','1','11','14','8']) ).
cnf('95',plain,
~ equal_jobs(guard,nurse),
inference(cnf_transformation,[],[guard_not_nurse]) ).
cnf('96',plain,
( ~ has_job(X,nurse)
| ~ has_job(X,guard)
| ~ has_job(X,Y)
| equal_jobs(Y,nurse)
| equal_jobs(Y,guard) ),
inference(resolution,[],['95','25']) ).
cnf('97',plain,
~ equal_jobs(police,nurse),
inference(resolution,[],['33','34']) ).
cnf('98',plain,
~ equal_jobs(guard,police),
inference(cnf_transformation,[],[guard_not_police]) ).
cnf('99',plain,
~ equal_jobs(police,guard),
inference(resolution,[],['33','98']) ).
cnf('100',plain,
( ~ has_job(X,police)
| ~ has_job(X,nurse)
| ~ has_job(X,guard) ),
inference(resolution,[then_simplify],['96','97','99']) ).
cnf('101',plain,
( ~ has_job(steve,guard)
| ~ has_job(steve,nurse)
| has_job(thelma,police) ),
inference(resolution,[then_simplify],['100','1','45','46']) ).
cnf('102',plain,
( ~ has_job(steve,guard)
| ~ has_job(steve,nurse) ),
inference(resolution,[then_simplify],['101','48','49']) ).
cnf('103',plain,
~ has_job(steve,guard),
inference(resolution,[then_simplify],['102','1','11','14','8']) ).
cnf('104',plain,
( has_job(pete,guard)
| has_job(thelma,guard)
| has_job(roberta,guard) ),
inference(resolution,[],['103','1']) ).
cnf('105',plain,
( has_job(thelma,guard)
| has_job(roberta,guard) ),
inference(resolution,[],['94','104']) ).
cnf('106',plain,
has_job(roberta,guard),
inference(resolution,[],['83','105']) ).
cnf('107',plain,
( ~ has_job(X,operator)
| ~ has_job(Y,police)
| ~ has_job(Z,teacher)
| ~ has_job(U,actor)
| ~ has_job(V,boxer) ),
inference(resolution,[],['23','106']) ).
cnf('108',plain,
( ~ has_job(steve,nurse)
| has_job(pete,operator) ),
inference(resolution,[then_simplify],['50','1','55','58']) ).
cnf('109',plain,
( ~ has_job(steve,nurse)
| ~ has_job(X,boxer)
| ~ has_job(Y,actor)
| ~ has_job(Z,teacher)
| ~ has_job(U,police) ),
inference(resolution,[],['107','108']) ).
cnf('110',plain,
( ~ has_job(X,police)
| ~ has_job(Y,teacher)
| ~ has_job(Z,actor)
| ~ has_job(U,boxer) ),
inference(resolution,[then_simplify],['109','1','11','14','8']) ).
cnf('111',plain,
( has_job(thelma,police)
| ~ has_job(X,boxer)
| ~ has_job(Y,actor)
| ~ has_job(Z,teacher) ),
inference(resolution,[then_simplify],['110','1','45','46']) ).
cnf('112',plain,
( ~ has_job(X,teacher)
| ~ has_job(Y,actor)
| ~ has_job(Z,boxer) ),
inference(resolution,[then_simplify],['111','48','49']) ).
cnf('113',plain,
( has_job(pete,actor)
| ~ has_job(X,boxer)
| ~ has_job(Y,teacher) ),
inference(resolution,[then_simplify],['112','1','77','78']) ).
cnf('114',plain,
( ~ has_job(X,boxer)
| ~ has_job(Y,teacher)
| ~ has_job(Z,teacher)
| ~ has_job(U,boxer) ),
inference(resolution,[],['113','112']) ).
cnf('115',plain,
( ~ has_job(X,boxer)
| ~ has_job(Y,teacher)
| ~ has_job(Z,teacher) ),
inference(factorization,[],['114']) ).
cnf('116',plain,
( ~ has_job(X,teacher)
| ~ has_job(Y,boxer) ),
inference(factorization,[],['115']) ).
cnf('117',plain,
( ~ has_job(X,teacher)
| educated(X) ),
inference(cnf_transformation,[],[teacher_is_educated]) ).
cnf('118',plain,
~ has_job(pete,teacher),
inference(resolution,[],['117','10']) ).
cnf('119',plain,
( has_job(thelma,teacher)
| has_job(roberta,teacher)
| ~ has_job(X,boxer) ),
inference(resolution,[then_simplify],['116','1','118']) ).
cnf('120',plain,
( has_job(roberta,teacher)
| ~ has_job(X,boxer)
| ~ has_job(Y,boxer) ),
inference(resolution,[],['119','116']) ).
cnf('121',plain,
( has_job(roberta,teacher)
| ~ has_job(X,boxer) ),
inference(factorization,[],['120']) ).
cnf('122',plain,
( ~ has_job(X,boxer)
| ~ has_job(Y,boxer) ),
inference(resolution,[],['121','116']) ).
cnf('123',plain,
~ has_job(X,boxer),
inference(factorization,[],['122']) ).
cnf('124',plain,
~ has_job(X3,boxer),
inference(factorization,[],['122']) ).
cnf('125',plain,
$false,
inference(resolution,[then_simplify],['123','1','37','124','124']) ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12 % Problem : PUZ019-1 : TPTP v8.1.2. Bugfixed v5.1.0.
% 0.00/0.13 % Command : gkc %s
% 0.14/0.34 % Computer : n020.cluster.edu
% 0.14/0.34 % Model : x86_64 x86_64
% 0.14/0.34 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.14/0.34 % Memory : 8042.1875MB
% 0.14/0.34 % OS : Linux 3.10.0-693.el7.x86_64
% 0.14/0.35 % CPULimit : 300
% 0.14/0.35 % WCLimit : 300
% 0.14/0.35 % DateTime : Sat Aug 26 22:19:59 EDT 2023
% 0.14/0.35 % CPUTime :
% 0.14/0.39
% 0.14/0.39 input clause set summed statistics:
% 0.14/0.39 ----------------------------------
% 0.14/0.39 in_clause_count: 64
% 0.14/0.39 in_rule_clause_count: 58
% 0.14/0.39 in_fact_clause_count: 6
% 0.14/0.39 in_answer_clause_count: 0
% 0.14/0.39 in_ground_clause_count: 42
% 0.14/0.39 in_unit_clause_count: 44
% 0.14/0.39 in_horn_clause_count: 60
% 0.14/0.39 in_pos_clause_count: 9
% 0.14/0.39 in_neg_clause_count: 41
% 0.14/0.39 in_poseq_clause_count: 0
% 0.14/0.39 in_negeq_clause_count: 0
% 0.14/0.39 in_unitposeq_clause_count: 0
% 0.14/0.39 in_chain_clause_count: 0
% 0.14/0.39 in_min_length: 1
% 0.14/0.39 in_max_length: 8
% 0.14/0.39 in_min_depth: 1
% 0.14/0.39 in_max_depth: 1
% 0.14/0.39 in_min_size: 2
% 0.14/0.39 in_max_size: 24
% 0.14/0.39 in_min_vars: 0
% 0.14/0.39 in_max_vars: 8
% 0.14/0.39 in_extaxiom_count: 0
% 0.14/0.39 in_axiom_count: 49
% 0.14/0.39 in_assumption_count: 14
% 0.14/0.39 in_goal_count: 1
% 0.14/0.39 in_neg_goal_count: 1
% 0.14/0.39 in_pos_goal_count: 0
% 0.14/0.39 in_posunit_goal_count: 0
% 0.14/0.39
% 0.14/0.39 auto guide:
% 0.14/0.39 -----------
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% 0.14/0.39
% 0.14/0.39
% 0.14/0.39 **** run 1 fork 0 starts with strategy
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% 0.14/0.39 **** run 2 fork 1 starts with strategy
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% 0.14/0.39 **** run 3 fork 2 starts with strategy
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% 0.14/0.39
% 0.14/0.39 **** run 4 fork 3 starts with strategy
% 0.14/0.39
% 0.14/0.39 **** run 8 fork 7 starts with strategy
% 0.14/0.39
% 0.14/0.39 **** run 5 fork 4 starts with strategy
% 0.14/0.39 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"weight_select_ratio":100,"depth_penalty":100,"length_penalty":100}
% 0.14/0.39 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":100,"depth_penalty":100,"length_penalty":100}
% 0.14/0.39 {"max_dseconds":1,"strategy":["hardness_pref"],"weight_select_ratio":100,"query_preference":0}
% 0.14/0.39
% 0.14/0.39 **** run 6 fork 5 starts with strategy
% 0.14/0.39 {"max_dseconds":1,"strategy":["unit"],"weight_select_ratio":100,"query_preference":0}
% 0.14/0.40
% 0.14/0.40 **** run 7 fork 6 starts with strategy
% 0.14/0.40 {"max_dseconds":1,"strategy":["negative_pref"],"weight_select_ratio":100,"query_preference":0,"var_weight":70,"repeat_var_weight":70}
% 0.21/0.44
% 0.21/0.44 fork 1: search finished without proof.
% 0.21/0.46
% 0.21/0.46 **** run 10 fork 1 starts with strategy
% 0.21/0.46 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.21/0.51
% 0.21/0.51 fork 7: search finished without proof.
% 0.21/0.51
% 0.21/0.51 fork 5: search finished without proof.
% 0.21/0.52
% 0.21/0.52 fork 3: search finished without proof.
% 0.21/0.52
% 0.21/0.52 fork 0: search finished without proof.
% 0.21/0.52
% 0.21/0.52
% 0.21/0.52 fork 2: search terminated without proof.
% 0.21/0.52
% 0.21/0.52 fork 6: search finished without proof.
% 0.21/0.52
% 0.21/0.52
% 0.21/0.52 fork 4: search terminated without proof.
% 0.21/0.53
% 0.21/0.53 **** run 16 fork 7 starts with strategy
% 0.21/0.53 {"length_penalty":100,"query_preference":0,"strategy":["negative_pref"],"max_dseconds":1}
% 0.21/0.54
% 0.21/0.54 **** run 14 fork 5 starts with strategy
% 0.21/0.54 {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.21/0.54
% 0.21/0.54 **** run 9 fork 0 starts with strategy
% 0.21/0.54 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1}
% 0.21/0.54
% 0.21/0.54 **** run 11 fork 2 starts with strategy
% 0.21/0.54 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.21/0.55
% 0.21/0.55 **** run 12 fork 3 starts with strategy
% 0.21/0.55 {"max_dseconds":1,"strategy":["query_focus","double"],"query_preference":1}
% 0.21/0.55
% 0.21/0.55 **** run 13 fork 4 starts with strategy
% 0.21/0.55 {"max_dseconds":1,"strategy":["unit"],"query_preference":0}
% 0.21/0.55
% 0.21/0.55 **** run 15 fork 6 starts with strategy
% 0.21/0.55 {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":0,"weight_select_ratio":20,"depth_penalty":50,"length_penalty":100}
% 0.21/0.59
% 0.21/0.59 fork 3: search finished without proof.
% 0.21/0.59
% 0.21/0.59
% 0.21/0.59 fork 1: search terminated without proof.
% 0.21/0.61
% 0.21/0.61 **** run 18 fork 1 starts with strategy
% 0.21/0.61 {"sine":2,"var_weight":70,"repeat_var_weight":70,"length_penalty":100,"query_preference":2,"strategy":["unit"],"max_dseconds":1}
% 0.21/0.61
% 0.21/0.61 **** run 20 fork 3 starts with strategy
% 0.21/0.61 {"var_weight":70,"repeat_var_weight":70,"max_depth":3,"query_preference":0,"strategy":["negative_pref"],"max_dseconds":1}
% 0.21/0.65
% 0.21/0.65 fork 7: search finished without proof.
% 0.21/0.65
% 0.21/0.65 fork 1: search finished without proof.
% 0.21/0.66
% 0.21/0.66 fork 0: search finished without proof.
% 0.21/0.67
% 0.21/0.67 **** run 24 fork 7 starts with strategy
% 0.21/0.67 {"weight_select_ratio":100,"length_penalty":100,"query_preference":1,"strategy":["query_focus"],"max_dseconds":1}
% 0.21/0.67
% 0.21/0.67
% 0.21/0.67 fork 2: search terminated without proof.
% 0.21/0.67
% 0.21/0.67 **** run 26 fork 1 starts with strategy
% 0.21/0.67 {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":0}
% 0.21/0.67
% 0.21/0.67 **** run 17 fork 0 starts with strategy
% 0.21/0.67 {"strategy":["hardness_pref","max_weight"],"length_penalty":100,"depth_penalty":50,"max_depth":3,"var_weight":10,"repeat_var_weight":10,"max_dseconds":1}
% 0.21/0.68
% 0.21/0.68
% 0.21/0.68 fork 6: search terminated without proof.
% 0.21/0.68
% 0.21/0.68 **** run 19 fork 2 starts with strategy
% 0.21/0.68 {"max_dseconds":1,"strategy":["positive_pref"],"query_preference":0}
% 0.21/0.70
% 0.21/0.70 **** run 23 fork 6 starts with strategy
% 0.21/0.70 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"depth_penalty":100,"repeat_var_weight":1}
% 0.21/0.74
% 0.21/0.74 fork 3: search finished without proof.
% 0.21/0.76
% 0.21/0.76 **** run 28 fork 3 starts with strategy
% 0.21/0.76 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 2.66/0.77
% 2.66/0.77
% 2.66/0.77 result: proof found
% 2.66/0.77 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 2.66/0.77 by run 19 fork 2 strategy {"max_dseconds":1,"strategy":["positive_pref"],"query_preference":0}
% 2.66/0.77 % SZS status Unsatisfiable for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 2.66/0.77
% 2.66/0.77 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% See solution above
% 2.66/0.77
% 2.66/0.77 run 19 fork 2 statistics:
% 2.66/0.77 ----------------------------------
% 2.66/0.77 this run seconds: 0.016872
% 2.66/0.77 total seconds: 0.343437
% 2.66/0.77 stat_given_used: 316
% 2.66/0.77 stat_given_used_at_endgame: 0
% 2.66/0.77 stat_given_candidates: 783
% 2.66/0.77 stat_given_candidates_at_endgame: 0
% 2.66/0.77 stat_given_candidates_h: 0
% 2.66/0.77 stat_binres_derived_cl: 2429
% 2.66/0.77 stat_binres_derived_cl_h: 0
% 2.66/0.77 stat_factor_derived_cl: 69
% 2.66/0.77 stat_para_derived_cl: 0
% 2.66/0.77 stat_tautologies_discarded: 76
% 2.66/0.77 stat_forward_subsumed: 1247
% 2.66/0.77 stat_derived_cut: 374
% 2.66/0.77 stat_derived_rewritten: 0
% 2.66/0.77 stat_weight_discarded_building: 0
% 2.66/0.77 stat_weight_discarded_cl: 0
% 2.66/0.77 stat_internlimit_discarded_cl: 0
% 2.66/0.77 stat_simplified: 12 simplified 0 derived 0 given
% 2.66/0.77 stat_kept_cl: 1174
% 2.66/0.77 stat_built_cl: 1818
% 2.66/0.77 stat_hyperres_partial_cl: 0
% 2.66/0.77 stat_made_rewriters: 0
% 2.66/0.77 stat_backward_subsumed: 0
% 2.66/0.77 stat_propagated_subsumed: 0
% 2.66/0.77 stat_clsubs_attempted: 12067
% 2.66/0.77 stat_clsubs_fact_groundunit_found: 4
% 2.66/0.77 stat_clsubs_rule_groundunit_found: 46
% 2.66/0.77 stat_clsubs_top_meta_attempted: 49696
% 2.66/0.77 stat_clsubs_top_meta_failed: 37629
% 2.66/0.77 stat_clsubs_top_meta_nonpref_attempted: 49696
% 2.66/0.77 stat_clsubs_top_meta_nonpref_succeeded: 25969
% 2.66/0.77 stat_clsubs_top_meta_pref_attempted: 25969
% 2.66/0.77 stat_clsubs_top_meta_pref1_succeeded: 14803
% 2.66/0.77 stat_clsubs_top_meta_pref2_succeeded: 13170
% 2.66/0.77 stat_clsubs_top_meta_pref3_succeeded: 12067
% 2.66/0.77 stat_clsubs_top_meta_pref_succeeded: 12067
% 2.66/0.77 stat_clsubs_meta_attempted: 50210
% 2.66/0.77 stat_clsubs_meta_failed: 640
% 2.66/0.77 stat_clsubs_predsymbs_attempted: 0
% 2.66/0.77 stat_clsubs_unit_attempted: 91
% 2.66/0.77 stat_clsubs_full_attempted: 11976
% 2.66/0.77 stat_forwardsubs_attempted: 2422
% 2.66/0.77 stat_lit_hash_added: 295
% 2.66/0.77 stat_lit_hash_computed: 23248
% 2.66/0.77 stat_lit_hash_match_found: 1812
% 2.66/0.77 stat_lit_hash_match_miss: 33278
% 2.66/0.77 stat_lit_hash_cut_ok: 458
% 2.66/0.77 stat_lit_strong_cut_ok: 4
% 2.66/0.77 stat_lit_hash_subsume_ok: 1247
% 2.66/0.77 clqueue els 10000000 used 1
% 2.66/0.77 clactive els 10000000 used 317
% 2.66/0.77 clactivesubsume els 10000000 used 1309
% 2.66/0.77 queue_termbuf els 200000000 used 78267
% 2.66/0.77 hyper_termbuf els 100000000 used 1
% 2.66/0.77 active_termbuf els 100000000 used 9167
% 2.66/0.77 varstack els 5000 last used 1
% 2.66/0.77 given_termbuf els 10000000 last used 1
% 2.66/0.77 simplified_termbuf els 10000000 last used 1
% 2.66/0.77 derived_termbuf els 10000000 last used 42
% 2.66/0.77 wr_mallocs: 1914
% 2.66/0.77 wr_callocs: 21
% 2.66/0.77 wr_reallocs: 95
% 2.66/0.77 wr_frees: 2
% 2.66/0.77 wr_malloc_bytes: 4162649588
% 2.66/0.77 wr_calloc_bytes: 112065536
% 2.66/0.77 wr_realloc_bytes: 54920
% 2.66/0.77 wr_realloc_freebytes: 0
% 2.66/0.77 ----------------------------------
%------------------------------------------------------------------------------