TSTP Solution File: GRP489-1 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : GRP489-1 : TPTP v8.1.2. Released v2.6.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n026.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 00:54:27 EDT 2023
% Result : Unsatisfiable 0.20s 0.49s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : ERROR: Analysing output (Could not find formula named multiply)
% Comments :
%------------------------------------------------------------------------------
cnf('1',plain,
multiply(X0,X1) = double_divide(double_divide(X1,X0),identity),
inference(cnf_transformation,[],[multiply]) ).
cnf('2',plain,
inverse(X) = double_divide(X,identity),
inference(cnf_transformation,[],[inverse]) ).
cnf('3',plain,
multiply(X,Y) = inverse(double_divide(Y,X)),
inference(simplify,[],['1','2']) ).
cnf('4',plain,
identity = double_divide(X,inverse(X)),
inference(cnf_transformation,[],[identity]) ).
cnf('5',plain,
multiply(inverse(X),X) = inverse(identity),
inference(paramodulation,[],['4','3']) ).
cnf('6',plain,
multiply(multiply(X,Y),double_divide(Y,X)) = inverse(identity),
inference(paramodulation,[],['3','5']) ).
cnf('7',plain,
double_divide(X0,double_divide(double_divide(double_divide(identity,double_divide(double_divide(X0,identity),double_divide(X1,X2))),X1),identity)) = X2,
inference(cnf_transformation,[],[single_axiom]) ).
cnf('8',plain,
double_divide(X,multiply(Y,double_divide(identity,double_divide(inverse(X),double_divide(Y,Z))))) = Z,
inference(simplify,[then_simplify],['7','2','2','3']) ).
cnf('9',plain,
double_divide(X3,multiply(Y3,double_divide(identity,double_divide(inverse(X3),identity)))) = inverse(Y3),
inference(paramodulation,[],['4','8']) ).
cnf('10',plain,
double_divide(X,multiply(Y,double_divide(identity,inverse(inverse(X))))) = inverse(Y),
inference(simplify,[],['9','2']) ).
cnf('11',plain,
double_divide(X,inverse(identity)) = inverse(multiply(inverse(inverse(X)),identity)),
inference(paramodulation,[],['6','10']) ).
cnf('12',plain,
double_divide(multiply(inverse(inverse(X3)),identity),multiply(Y3,double_divide(identity,double_divide(double_divide(X3,inverse(identity)),double_divide(Y3,Z3))))) = Z3,
inference(paramodulation,[],['11','8']) ).
cnf('13',plain,
multiply(identity,X) = inverse(inverse(X)),
inference(paramodulation,[],['2','3']) ).
cnf('14',plain,
double_divide(X3,inverse(inverse(double_divide(identity,double_divide(inverse(X3),double_divide(identity,Y3)))))) = Y3,
inference(paramodulation,[],['13','8']) ).
cnf('15',plain,
double_divide(X,multiply(Y,double_divide(identity,double_divide(inverse(X),inverse(Y))))) = identity,
inference(paramodulation,[],['2','8']) ).
cnf('16',plain,
double_divide(X3,multiply(inverse(X3),double_divide(identity,identity))) = identity,
inference(paramodulation,[],['4','15']) ).
cnf('17',plain,
double_divide(X,multiply(inverse(X),inverse(identity))) = identity,
inference(simplify,[],['16','2']) ).
cnf('18',plain,
double_divide(inverse(identity),inverse(identity)) = identity,
inference(paramodulation,[],['5','17']) ).
cnf('19',plain,
double_divide(identity,multiply(identity,double_divide(identity,identity))) = identity,
inference(paramodulation,[],['18','15']) ).
cnf('20',plain,
double_divide(identity,inverse(inverse(inverse(identity)))) = identity,
inference(simplify,[then_simplify],['19','2','13']) ).
cnf('21',plain,
double_divide(inverse(identity),multiply(X,identity)) = inverse(X),
inference(paramodulation,[],['20','10']) ).
cnf('22',plain,
double_divide(inverse(identity),inverse(inverse(identity))) = inverse(identity),
inference(paramodulation,[],['13','21']) ).
cnf('23',plain,
identity = inverse(identity),
inference(simplify,[],['22','4']) ).
cnf('24',plain,
double_divide(identity,multiply(X,identity)) = inverse(X),
inference(paramodulation,[],['23','21']) ).
cnf('25',plain,
multiply(multiply(X,identity),identity) = inverse(inverse(X)),
inference(paramodulation,[],['24','3']) ).
cnf('26',plain,
double_divide(identity,inverse(inverse(X))) = inverse(multiply(X,identity)),
inference(paramodulation,[],['25','24']) ).
cnf('27',plain,
double_divide(X,multiply(Y,inverse(multiply(X,identity)))) = inverse(Y),
inference(paramodulation,[],['26','10']) ).
cnf('28',plain,
double_divide(X3,inverse(identity)) = inverse(inverse(inverse(multiply(X3,identity)))),
inference(paramodulation,[],['5','27']) ).
cnf('29',plain,
inverse(X) = inverse(inverse(inverse(multiply(X,identity)))),
inference(simplify,[then_simplify],['28','23','2']) ).
cnf('30',plain,
double_divide(X,multiply(inverse(X),identity)) = identity,
inference(paramodulation,[],['23','17']) ).
cnf('31',plain,
multiply(multiply(inverse(X3),identity),X3) = inverse(identity),
inference(paramodulation,[],['30','3']) ).
cnf('32',plain,
multiply(multiply(inverse(X),identity),X) = identity,
inference(simplify,[],['31','23']) ).
cnf('33',plain,
multiply(multiply(multiply(X,Y),identity),double_divide(Y,X)) = identity,
inference(paramodulation,[],['3','32']) ).
cnf('34',plain,
multiply(inverse(inverse(X)),double_divide(identity,X)) = identity,
inference(paramodulation,[],['25','33']) ).
cnf('35',plain,
double_divide(X3,identity) = inverse(inverse(inverse(inverse(inverse(X3))))),
inference(paramodulation,[],['34','10']) ).
cnf('36',plain,
inverse(X) = inverse(inverse(inverse(inverse(inverse(X))))),
inference(simplify,[],['35','2']) ).
cnf('37',plain,
inverse(multiply(X,identity)) = inverse(inverse(inverse(X))),
inference(paramodulation,[],['29','36']) ).
cnf('38',plain,
inverse(multiply(multiply(X3,identity),identity)) = inverse(X3),
inference(paramodulation,[],['29','37']) ).
cnf('39',plain,
inverse(inverse(inverse(X))) = inverse(X),
inference(simplify,[],['38','25']) ).
cnf('40',plain,
inverse(inverse(multiply(X3,Y3))) = inverse(double_divide(Y3,X3)),
inference(paramodulation,[],['3','39']) ).
cnf('41',plain,
inverse(inverse(multiply(X,Y))) = multiply(X,Y),
inference(simplify,[],['40','3']) ).
cnf('42',plain,
multiply(inverse(inverse(X)),identity) = inverse(inverse(multiply(X,identity))),
inference(paramodulation,[],['25','25']) ).
cnf('43',plain,
multiply(inverse(inverse(X3)),identity) = multiply(X3,identity),
inference(paramodulation,[],['41','42']) ).
cnf('44',plain,
inverse(inverse(X)) = multiply(X,identity),
inference(simplify,[then_simplify],['43','42','37','39']) ).
cnf('45',plain,
double_divide(X3,multiply(Y3,inverse(inverse(inverse(X3))))) = inverse(Y3),
inference(paramodulation,[],['37','27']) ).
cnf('46',plain,
double_divide(X,multiply(Y,inverse(X))) = inverse(Y),
inference(simplify,[],['45','39']) ).
cnf('47',plain,
inverse(inverse(X)) = X,
inference(simplify,[then_simplify],['14','3','44','3','41','46','3','44']) ).
cnf('48',plain,
identity = double_divide(inverse(X),X),
inference(paramodulation,[],['47','4']) ).
cnf('49',plain,
double_divide(double_divide(X3,Y3),multiply(X3,double_divide(identity,identity))) = Y3,
inference(paramodulation,[],['48','8']) ).
cnf('50',plain,
multiply(multiply(X,inverse(Y)),Y) = inverse(inverse(X)),
inference(paramodulation,[],['46','3']) ).
cnf('51',plain,
double_divide(X,inverse(inverse(Y))) = inverse(multiply(Y,inverse(inverse(X)))),
inference(paramodulation,[],['50','46']) ).
cnf('52',plain,
identity = inverse(multiply(X3,inverse(inverse(inverse(X3))))),
inference(paramodulation,[],['4','51']) ).
cnf('53',plain,
identity = inverse(multiply(X,inverse(X))),
inference(simplify,[],['52','39']) ).
cnf('54',plain,
inverse(identity) = multiply(X3,inverse(X3)),
inference(paramodulation,[],['53','41']) ).
cnf('55',plain,
identity = multiply(X,inverse(X)),
inference(simplify,[],['54','23']) ).
cnf('56',plain,
double_divide(double_divide(X,Y),multiply(Z,multiply(Y,X))) = inverse(Z),
inference(paramodulation,[],['3','46']) ).
cnf('57',plain,
double_divide(double_divide(inverse(X3),X3),multiply(Y3,identity)) = inverse(Y3),
inference(paramodulation,[],['55','56']) ).
cnf('58',plain,
double_divide(double_divide(inverse(X),X),inverse(inverse(Y))) = inverse(Y),
inference(simplify,[],['57','44']) ).
cnf('59',plain,
double_divide(double_divide(inverse(X3),X3),Y3) = inverse(Y3),
inference(paramodulation,[],['47','58']) ).
cnf('60',plain,
double_divide(identity,X) = inverse(X),
inference(simplify,[],['59','48']) ).
cnf('61',plain,
double_divide(double_divide(X,Y),X) = Y,
inference(simplify,[then_simplify],['49','60','23','44','47']) ).
cnf('62',plain,
double_divide(inverse(X),Y) = multiply(X,inverse(Y)),
inference(paramodulation,[],['46','61']) ).
cnf('63',plain,
inverse(multiply(X,Y)) = double_divide(Y,X),
inference(paramodulation,[],['3','47']) ).
cnf('64',plain,
double_divide(X,multiply(Y,double_divide(multiply(Z,Y),X))) = Z,
inference(simplify,[then_simplify],['12','47','44','47','23','2','62','3','60','63']) ).
cnf('65',plain,
double_divide(X,Y) = multiply(Z,double_divide(multiply(X,Z),Y)),
inference(paramodulation,[],['64','61']) ).
cnf('66',plain,
multiply(multiply(X3,Y3),inverse(Y3)) = inverse(inverse(X3)),
inference(paramodulation,[],['47','50']) ).
cnf('67',plain,
multiply(multiply(X,Y),inverse(Y)) = X,
inference(simplify,[],['66','47']) ).
cnf('68',plain,
multiply(multiply(X,double_divide(Y,Z)),multiply(Z,Y)) = X,
inference(paramodulation,[],['3','67']) ).
cnf('69',plain,
multiply(double_divide(X,Y),multiply(Y,multiply(X,Z))) = Z,
inference(paramodulation,[],['65','68']) ).
cnf('70',plain,
multiply(X,double_divide(X,Y)) = inverse(Y),
inference(paramodulation,[],['61','3']) ).
cnf('71',plain,
multiply(inverse(X),multiply(X,Y)) = Y,
inference(paramodulation,[],['70','68']) ).
cnf('72',plain,
multiply(multiply(X,Y),multiply(double_divide(Y,X),Z)) = Z,
inference(paramodulation,[],['3','71']) ).
cnf('73',plain,
multiply(multiply(a3,b3),c3) != multiply(a3,multiply(b3,c3)),
inference(cnf_transformation,[],[prove_these_axioms_3]) ).
cnf('74',plain,
$false,
inference(paramodulation,[then_simplify],['69','72','73']) ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12 % Problem : GRP489-1 : TPTP v8.1.2. Released v2.6.0.
% 0.00/0.13 % Command : gkc %s
% 0.13/0.34 % Computer : n026.cluster.edu
% 0.13/0.34 % Model : x86_64 x86_64
% 0.13/0.34 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.34 % Memory : 8042.1875MB
% 0.13/0.34 % OS : Linux 3.10.0-693.el7.x86_64
% 0.13/0.34 % CPULimit : 300
% 0.13/0.35 % WCLimit : 300
% 0.13/0.35 % DateTime : Tue Aug 29 02:14:35 EDT 2023
% 0.13/0.35 % CPUTime :
% 0.20/0.43
% 0.20/0.43 input clause set summed statistics:
% 0.20/0.43 ----------------------------------
% 0.20/0.43 in_clause_count: 5
% 0.20/0.43 in_rule_clause_count: 5
% 0.20/0.43 in_fact_clause_count: 0
% 0.20/0.43 in_answer_clause_count: 0
% 0.20/0.43 in_ground_clause_count: 1
% 0.20/0.43 in_unit_clause_count: 5
% 0.20/0.43 in_horn_clause_count: 5
% 0.20/0.43 in_pos_clause_count: 4
% 0.20/0.43 in_neg_clause_count: 1
% 0.20/0.43 in_poseq_clause_count: 4
% 0.20/0.43 in_negeq_clause_count: 1
% 0.20/0.43 in_unitposeq_clause_count: 4
% 0.20/0.43 in_chain_clause_count: 0
% 0.20/0.43 in_min_length: 1
% 0.20/0.43 in_max_length: 1
% 0.20/0.43 in_min_depth: 2
% 0.20/0.43 in_max_depth: 7
% 0.20/0.43 in_min_size: 6
% 0.20/0.43 in_max_size: 17
% 0.20/0.43 in_min_vars: 0
% 0.20/0.43 in_max_vars: 3
% 0.20/0.43 in_extaxiom_count: 0
% 0.20/0.43 in_axiom_count: 4
% 0.20/0.43 in_assumption_count: 0
% 0.20/0.43 in_goal_count: 1
% 0.20/0.43 in_neg_goal_count: 1
% 0.20/0.43 in_pos_goal_count: 0
% 0.20/0.43 in_posunit_goal_count: 0
% 0.20/0.43
% 0.20/0.43 auto guide:
% 0.20/0.43 -----------
% 0.20/0.43 {
% 0.20/0.43 "print":1,
% 0.20/0.43 "print_level": 15,
% 0.20/0.43 "max_size": 0,
% 0.20/0.43 "max_depth": 0,
% 0.20/0.43 "max_length": 0,
% 0.20/0.43 "max_dseconds": 0,
% 0.20/0.43 "runs":[
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "rewrite":0},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20, "rewrite":0},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":2},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 0},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 1},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 2},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "reverse_clauselist": 1},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 2},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 4},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 6},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 8},
% 0.20/0.43 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 10},
% 0.20/0.43 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":10},
% 0.20/0.43 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":15},
% 0.20/0.43 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":20},
% 0.20/0.43 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":20, "weight_select_ratio":2},
% 0.20/0.43 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.20/0.43 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.20/0.43 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.20/0.43 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.20/0.43 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.20/0.43 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.20/0.43 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.20/0.43 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
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% 0.20/0.43 {"max_dseconds": 250,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.20/0.43 {"max_dseconds": 250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4},
% 0.20/0.43
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1},
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0},
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
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% 0.20/0.43 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "rewrite":0},
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20, "rewrite":0},
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":2},
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 0},
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 1},
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 2},
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "reverse_clauselist": 1},
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 2},
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 4},
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 6},
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 8},
% 0.20/0.43 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 10},
% 0.20/0.43 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":10},
% 0.20/0.43 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":15},
% 0.20/0.43 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":20},
% 0.20/0.43 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":20, "weight_select_ratio":2},
% 0.20/0.43 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.20/0.43 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.20/0.43 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.20/0.43 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.20/0.43 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.20/0.43 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.20/0.43 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.20/0.43 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
% 0.20/0.43 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.20/0.43 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.20/0.43 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.20/0.43 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4}
% 0.20/0.43
% 0.20/0.43 ]}
% 0.20/0.43
% 0.20/0.44
% 0.20/0.44 **** run 1 fork 0 starts with strategy
% 0.20/0.44 {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.20/0.44
% 0.20/0.44 **** run 2 fork 1 starts with strategy
% 0.20/0.44 {"max_dseconds":1,"strategy":["unit"],"query_preference":0}
% 0.20/0.44
% 0.20/0.44 **** run 3 fork 2 starts with strategy
% 0.20/0.44 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.20/0.44
% 0.20/0.44 **** run 4 fork 3 starts with strategy
% 0.20/0.44 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20,"depth_penalty":100}
% 0.20/0.44
% 0.20/0.44 **** run 5 fork 4 starts with strategy
% 0.20/0.44 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":20,"repeat_var_weight":1,"depth_penalty":100}
% 0.20/0.44
% 0.20/0.44 **** run 6 fork 5 starts with strategy
% 0.20/0.44 {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20}
% 0.20/0.45
% 0.20/0.45 **** run 7 fork 6 starts with strategy
% 0.20/0.45 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20}
% 0.20/0.46
% 0.20/0.46 **** run 8 fork 7 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20,"depth_penalty":50}
% 0.20/0.49
% 0.20/0.49
% 0.20/0.49 result: proof found
% 0.20/0.49 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.49 by run 6 fork 5 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20}
% 0.20/0.49 % SZS status Unsatisfiable for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.49
% 0.20/0.49 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% See solution above
% 0.20/0.49
% 0.20/0.49 run 6 fork 5 statistics:
% 0.20/0.49 ----------------------------------
% 0.20/0.49 this run seconds: 0.042833
% 0.20/0.49 total seconds: 0.045018
% 0.20/0.49 stat_given_used: 103
% 0.20/0.49 stat_given_used_at_endgame: 0
% 0.20/0.49 stat_given_candidates: 1224
% 0.20/0.49 stat_given_candidates_at_endgame: 0
% 0.20/0.49 stat_given_candidates_h: 0
% 0.20/0.49 stat_binres_derived_cl: 0
% 0.20/0.49 stat_binres_derived_cl_h: 0
% 0.20/0.49 stat_factor_derived_cl: 0
% 0.20/0.49 stat_para_derived_cl: 5920
% 0.20/0.49 stat_tautologies_discarded: 0
% 0.20/0.49 stat_forward_subsumed: 770
% 0.20/0.49 stat_derived_cut: 1
% 0.20/0.49 stat_derived_rewritten: 28
% 0.20/0.49 stat_weight_discarded_building: 0
% 0.20/0.49 stat_weight_discarded_cl: 0
% 0.20/0.49 stat_internlimit_discarded_cl: 0
% 0.20/0.49 stat_simplified: 28 simplified 0 derived 0 given
% 0.20/0.49 stat_kept_cl: 4873
% 0.20/0.49 stat_built_cl: 5107
% 0.20/0.49 stat_hyperres_partial_cl: 0
% 0.20/0.49 stat_made_rewriters: 101
% 0.20/0.49 stat_backward_subsumed: 0
% 0.20/0.49 stat_propagated_subsumed: 0
% 0.20/0.49 stat_clsubs_attempted: 285
% 0.20/0.49 stat_clsubs_fact_groundunit_found: 0
% 0.20/0.49 stat_clsubs_rule_groundunit_found: 1
% 0.20/0.49 stat_clsubs_top_meta_attempted: 4718
% 0.20/0.49 stat_clsubs_top_meta_failed: 4433
% 0.20/0.49 stat_clsubs_top_meta_nonpref_attempted: 4718
% 0.20/0.49 stat_clsubs_top_meta_nonpref_succeeded: 1438
% 0.20/0.49 stat_clsubs_top_meta_pref_attempted: 1438
% 0.20/0.49 stat_clsubs_top_meta_pref1_succeeded: 1438
% 0.20/0.49 stat_clsubs_top_meta_pref2_succeeded: 492
% 0.20/0.49 stat_clsubs_top_meta_pref3_succeeded: 285
% 0.20/0.49 stat_clsubs_top_meta_pref_succeeded: 285
% 0.20/0.49 stat_clsubs_meta_attempted: 285
% 0.20/0.49 stat_clsubs_meta_failed: 16
% 0.20/0.49 stat_clsubs_predsymbs_attempted: 0
% 0.20/0.49 stat_clsubs_unit_attempted: 285
% 0.20/0.49 stat_clsubs_full_attempted: 0
% 0.20/0.49 stat_forwardsubs_attempted: 5644
% 0.20/0.49 stat_lit_hash_added: 4884
% 0.20/0.49 stat_lit_hash_computed: 10639
% 0.20/0.49 stat_lit_hash_match_found: 771
% 0.20/0.49 stat_lit_hash_match_miss: 9886
% 0.20/0.49 stat_lit_hash_cut_ok: 0
% 0.20/0.49 stat_lit_strong_cut_ok: 1
% 0.20/0.49 stat_lit_hash_subsume_ok: 770
% 0.20/0.49 clqueue els 10000000 used 1
% 0.20/0.49 clactive els 10000000 used 104
% 0.20/0.49 clactivesubsume els 10000000 used 583
% 0.20/0.49 queue_termbuf els 200000000 used 338126
% 0.20/0.49 hyper_termbuf els 100000000 used 1
% 0.20/0.49 active_termbuf els 100000000 used 4151
% 0.20/0.49 varstack els 5000 last used 1
% 0.20/0.49 given_termbuf els 10000000 last used 1
% 0.20/0.49 simplified_termbuf els 10000000 last used 1
% 0.20/0.49 derived_termbuf els 10000000 last used 51
% 0.20/0.49 wr_mallocs: 19390
% 0.20/0.49 wr_callocs: 21
% 0.20/0.49 wr_reallocs: 620
% 0.20/0.49 wr_frees: 2
% 0.20/0.49 wr_malloc_bytes: 4163269796
% 0.20/0.49 wr_calloc_bytes: 112065536
% 0.20/0.49 wr_realloc_bytes: 138072
% 0.20/0.49 wr_realloc_freebytes: 0
% 0.20/0.49 ----------------------------------
%------------------------------------------------------------------------------