TSTP Solution File: GRP492-1 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : GRP492-1 : TPTP v8.1.2. Released v2.6.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n018.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 0.21s 0.45s
% Output : CNFRefutation 0.21s
% Verified :
% SZS Type : ERROR: Analysing output (Could not find formula named identity)
% Comments :
%------------------------------------------------------------------------------
cnf('1',plain,
identity = double_divide(X,inverse(X)),
inference(cnf_transformation,[],[identity]) ).
cnf('2',plain,
inverse(X) = double_divide(X,identity),
inference(cnf_transformation,[],[inverse]) ).
cnf('3',plain,
double_divide(double_divide(identity,X0),double_divide(identity,double_divide(double_divide(double_divide(X0,X1),identity),double_divide(X2,X1)))) = X2,
inference(cnf_transformation,[],[single_axiom]) ).
cnf('4',plain,
multiply(X0,X1) = double_divide(double_divide(X1,X0),identity),
inference(cnf_transformation,[],[multiply]) ).
cnf('5',plain,
multiply(X,Y) = inverse(double_divide(Y,X)),
inference(simplify,[],['4','2']) ).
cnf('6',plain,
double_divide(double_divide(identity,X),double_divide(identity,double_divide(multiply(Y,X),double_divide(Z,Y)))) = Z,
inference(simplify,[then_simplify],['3','2','5']) ).
cnf('7',plain,
double_divide(inverse(identity),double_divide(identity,double_divide(multiply(X,identity),double_divide(Y,X)))) = Y,
inference(paramodulation,[],['2','6']) ).
cnf('8',plain,
multiply(double_divide(identity,double_divide(multiply(X3,identity),double_divide(Y3,X3))),inverse(identity)) = inverse(Y3),
inference(paramodulation,[],['7','5']) ).
cnf('9',plain,
double_divide(double_divide(identity,X3),double_divide(identity,double_divide(multiply(identity,X3),inverse(Y3)))) = Y3,
inference(paramodulation,[],['2','6']) ).
cnf('10',plain,
multiply(identity,X) = inverse(inverse(X)),
inference(paramodulation,[],['2','5']) ).
cnf('11',plain,
double_divide(double_divide(identity,X),double_divide(identity,double_divide(inverse(inverse(X)),inverse(Y)))) = Y,
inference(simplify,[],['9','10']) ).
cnf('12',plain,
double_divide(double_divide(identity,X3),double_divide(identity,identity)) = inverse(inverse(X3)),
inference(paramodulation,[],['1','11']) ).
cnf('13',plain,
double_divide(double_divide(identity,X),inverse(identity)) = inverse(inverse(X)),
inference(simplify,[],['12','2']) ).
cnf('14',plain,
double_divide(identity,inverse(identity)) = inverse(inverse(inverse(identity))),
inference(paramodulation,[],['1','13']) ).
cnf('15',plain,
identity = inverse(inverse(inverse(identity))),
inference(simplify,[],['14','1']) ).
cnf('16',plain,
double_divide(double_divide(identity,inverse(identity)),double_divide(identity,double_divide(identity,inverse(X3)))) = X3,
inference(paramodulation,[],['15','11']) ).
cnf('17',plain,
double_divide(identity,double_divide(identity,double_divide(identity,inverse(X)))) = X,
inference(simplify,[],['16','1']) ).
cnf('18',plain,
double_divide(identity,double_divide(identity,double_divide(identity,identity))) = inverse(inverse(identity)),
inference(paramodulation,[],['15','17']) ).
cnf('19',plain,
inverse(identity) = inverse(inverse(identity)),
inference(simplify,[then_simplify],['18','2','1','2']) ).
cnf('20',plain,
identity = inverse(inverse(identity)),
inference(paramodulation,[],['19','15']) ).
cnf('21',plain,
identity = inverse(identity),
inference(simplify,[],['20','19']) ).
cnf('22',plain,
double_divide(double_divide(identity,X3),identity) = inverse(inverse(X3)),
inference(paramodulation,[],['21','13']) ).
cnf('23',plain,
multiply(X,identity) = inverse(inverse(X)),
inference(simplify,[then_simplify],['22','2','5']) ).
cnf('24',plain,
inverse(inverse(multiply(double_divide(X,Y),inverse(inverse(Y))))) = inverse(X),
inference(simplify,[then_simplify],['8','23','21','23','5','23','5']) ).
cnf('25',plain,
double_divide(identity,double_divide(identity,double_divide(identity,multiply(X,Y)))) = double_divide(Y,X),
inference(paramodulation,[],['5','17']) ).
cnf('26',plain,
multiply(double_divide(identity,double_divide(identity,multiply(X3,Y3))),identity) = inverse(double_divide(Y3,X3)),
inference(paramodulation,[],['25','5']) ).
cnf('27',plain,
inverse(inverse(inverse(inverse(multiply(X,Y))))) = multiply(X,Y),
inference(simplify,[then_simplify],['26','23','5','23','5','23','5']) ).
cnf('28',plain,
inverse(inverse(inverse(X))) = multiply(double_divide(X,Y),inverse(inverse(Y))),
inference(paramodulation,[],['24','27']) ).
cnf('29',plain,
inverse(inverse(inverse(X3))) = multiply(identity,inverse(inverse(inverse(X3)))),
inference(paramodulation,[],['1','28']) ).
cnf('30',plain,
multiply(double_divide(identity,double_divide(identity,inverse(X3))),identity) = inverse(X3),
inference(paramodulation,[],['17','5']) ).
cnf('31',plain,
inverse(inverse(inverse(inverse(inverse(X))))) = inverse(X),
inference(simplify,[then_simplify],['30','23','5','23','5','23']) ).
cnf('32',plain,
inverse(inverse(inverse(X))) = inverse(X),
inference(simplify,[then_simplify],['29','10','31']) ).
cnf('33',plain,
inverse(X3) = multiply(double_divide(X3,Y3),inverse(inverse(Y3))),
inference(paramodulation,[],['32','28']) ).
cnf('34',plain,
identity = double_divide(inverse(inverse(X)),inverse(X)),
inference(paramodulation,[],['32','1']) ).
cnf('35',plain,
double_divide(double_divide(identity,X3),double_divide(identity,identity)) = X3,
inference(paramodulation,[],['34','11']) ).
cnf('36',plain,
inverse(inverse(X)) = X,
inference(simplify,[then_simplify],['35','2','21','2','5','23']) ).
cnf('37',plain,
inverse(X) = multiply(double_divide(X,Y),Y),
inference(simplify,[],['33','36']) ).
cnf('38',plain,
inverse(multiply(X,Y)) = double_divide(Y,X),
inference(paramodulation,[],['5','36']) ).
cnf('39',plain,
inverse(inverse(X3)) = double_divide(Y3,double_divide(X3,Y3)),
inference(paramodulation,[],['37','38']) ).
cnf('40',plain,
X = double_divide(Y,double_divide(X,Y)),
inference(simplify,[],['39','36']) ).
cnf('41',plain,
X = double_divide(double_divide(Y,X),Y),
inference(paramodulation,[],['40','40']) ).
cnf('42',plain,
double_divide(identity,double_divide(multiply(X3,Y3),double_divide(Z3,X3))) = double_divide(Z3,double_divide(identity,Y3)),
inference(paramodulation,[],['6','41']) ).
cnf('43',plain,
inverse(inverse(inverse(X3))) = double_divide(identity,X3),
inference(paramodulation,[],['23','38']) ).
cnf('44',plain,
inverse(X) = double_divide(identity,X),
inference(simplify,[],['43','36']) ).
cnf('45',plain,
multiply(double_divide(X,Y),multiply(Y,Z)) = double_divide(X,inverse(Z)),
inference(simplify,[then_simplify],['42','44','5','44']) ).
cnf('46',plain,
multiply(X3,multiply(Y3,Z3)) = double_divide(double_divide(Y3,X3),inverse(Z3)),
inference(paramodulation,[],['41','45']) ).
cnf('47',plain,
inverse(X) = multiply(Y,double_divide(Y,X)),
inference(paramodulation,[],['40','37']) ).
cnf('48',plain,
multiply(inverse(X3),multiply(X3,Y3)) = double_divide(identity,inverse(Y3)),
inference(paramodulation,[],['44','45']) ).
cnf('49',plain,
multiply(inverse(X),multiply(X,Y)) = Y,
inference(simplify,[then_simplify],['48','44','36']) ).
cnf('50',plain,
multiply(inverse(X),inverse(Y)) = double_divide(X,Y),
inference(paramodulation,[],['47','49']) ).
cnf('51',plain,
multiply(inverse(X),Y) = double_divide(X,inverse(Y)),
inference(paramodulation,[],['36','50']) ).
cnf('52',plain,
multiply(X,multiply(Y,Z)) = multiply(multiply(X,Y),Z),
inference(simplify,[then_simplify],['46','51','5']) ).
cnf('53',plain,
multiply(multiply(a3,b3),c3) != multiply(a3,multiply(b3,c3)),
inference(cnf_transformation,[],[prove_these_axioms_3]) ).
cnf('54',plain,
$false,
inference(paramodulation,[],['52','53']) ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.07/0.12 % Problem : GRP492-1 : TPTP v8.1.2. Released v2.6.0.
% 0.13/0.13 % Command : gkc %s
% 0.13/0.34 % Computer : n018.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
% 0.13/0.34 % WCLimit : 300
% 0.13/0.34 % DateTime : Tue Aug 29 00:47:47 EDT 2023
% 0.13/0.34 % CPUTime :
% 0.21/0.39
% 0.21/0.39 input clause set summed statistics:
% 0.21/0.39 ----------------------------------
% 0.21/0.39 in_clause_count: 5
% 0.21/0.39 in_rule_clause_count: 5
% 0.21/0.39 in_fact_clause_count: 0
% 0.21/0.39 in_answer_clause_count: 0
% 0.21/0.39 in_ground_clause_count: 1
% 0.21/0.39 in_unit_clause_count: 5
% 0.21/0.39 in_horn_clause_count: 5
% 0.21/0.39 in_pos_clause_count: 4
% 0.21/0.39 in_neg_clause_count: 1
% 0.21/0.39 in_poseq_clause_count: 4
% 0.21/0.39 in_negeq_clause_count: 1
% 0.21/0.39 in_unitposeq_clause_count: 4
% 0.21/0.39 in_chain_clause_count: 0
% 0.21/0.39 in_min_length: 1
% 0.21/0.39 in_max_length: 1
% 0.21/0.39 in_min_depth: 2
% 0.21/0.39 in_max_depth: 6
% 0.21/0.39 in_min_size: 6
% 0.21/0.39 in_max_size: 17
% 0.21/0.39 in_min_vars: 0
% 0.21/0.39 in_max_vars: 3
% 0.21/0.39 in_extaxiom_count: 0
% 0.21/0.39 in_axiom_count: 4
% 0.21/0.39 in_assumption_count: 0
% 0.21/0.39 in_goal_count: 1
% 0.21/0.39 in_neg_goal_count: 1
% 0.21/0.39 in_pos_goal_count: 0
% 0.21/0.39 in_posunit_goal_count: 0
% 0.21/0.39
% 0.21/0.39 auto guide:
% 0.21/0.39 -----------
% 0.21/0.39 {
% 0.21/0.39 "print":1,
% 0.21/0.39 "print_level": 15,
% 0.21/0.39 "max_size": 0,
% 0.21/0.39 "max_depth": 0,
% 0.21/0.39 "max_length": 0,
% 0.21/0.39 "max_dseconds": 0,
% 0.21/0.39 "runs":[
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% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
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% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
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% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.21/0.39 {"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},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0},
% 0.21/0.39 {"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},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.21/0.39 {"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},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "rewrite":0},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20, "rewrite":0},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":2},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 0},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 1},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 2},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "reverse_clauselist": 1},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 2},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 4},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 6},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 8},
% 0.21/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 10},
% 0.21/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":10},
% 0.21/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":15},
% 0.21/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":20},
% 0.21/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":20, "weight_select_ratio":2},
% 0.21/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.21/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.21/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.21/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.21/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.21/0.39 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.21/0.39 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.21/0.39 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
% 0.21/0.39 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.21/0.39 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.21/0.39 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.21/0.39 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4},
% 0.21/0.39
% 0.21/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1},
% 0.21/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0},
% 0.21/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.21/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.21/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.21/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.21/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.21/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.21/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1},
% 0.21/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0},
% 0.21/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
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% 0.21/0.40 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.40 {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 0},
% 0.21/0.40 {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 1},
% 0.21/0.40 {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 2},
% 0.21/0.40 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "reverse_clauselist": 1},
% 0.21/0.40 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 2},
% 0.21/0.40 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 4},
% 0.21/0.40 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 6},
% 0.21/0.40 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 8},
% 0.21/0.40 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 10},
% 0.21/0.40 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":10},
% 0.21/0.40 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":15},
% 0.21/0.40 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":20},
% 0.21/0.40 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":20, "weight_select_ratio":2},
% 0.21/0.40 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.21/0.40 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.21/0.40 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.21/0.40 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.21/0.40 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.21/0.40 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.21/0.40 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.21/0.40 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
% 0.21/0.40 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.21/0.40 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.21/0.40 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.21/0.40 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4}
% 0.21/0.40
% 0.21/0.40 ]}
% 0.21/0.40
% 0.21/0.40
% 0.21/0.40 **** run 1 fork 0 starts with strategy
% 0.21/0.40 {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.21/0.40
% 0.21/0.40 **** run 2 fork 1 starts with strategy
% 0.21/0.40 {"max_dseconds":1,"strategy":["unit"],"query_preference":0}
% 0.21/0.40
% 0.21/0.40 **** run 3 fork 2 starts with strategy
% 0.21/0.40 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.21/0.40
% 0.21/0.40 **** run 4 fork 3 starts with strategy
% 0.21/0.40 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20,"depth_penalty":100}
% 0.21/0.40
% 0.21/0.40 **** run 5 fork 4 starts with strategy
% 0.21/0.40 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":20,"repeat_var_weight":1,"depth_penalty":100}
% 0.21/0.40
% 0.21/0.40 **** run 6 fork 5 starts with strategy
% 0.21/0.40
% 0.21/0.40 **** run 7 fork 6 starts with strategy
% 0.21/0.40 {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20}{"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20}
% 0.21/0.40
% 0.21/0.40
% 0.21/0.40 **** run 8 fork 7 starts with strategy
% 0.21/0.40 {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20,"depth_penalty":50}
% 0.21/0.45
% 0.21/0.45
% 0.21/0.45 result: proof found
% 0.21/0.45 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.45 by run 8 fork 7 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20,"depth_penalty":50}
% 0.21/0.45 % SZS status Unsatisfiable for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.45
% 0.21/0.45 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% See solution above
% 0.21/0.45
% 0.21/0.45 run 8 fork 7 statistics:
% 0.21/0.45 ----------------------------------
% 0.21/0.45 this run seconds: 0.026288
% 0.21/0.45 total seconds: 0.054377
% 0.21/0.45 stat_given_used: 60
% 0.21/0.45 stat_given_used_at_endgame: 0
% 0.21/0.45 stat_given_candidates: 528
% 0.21/0.45 stat_given_candidates_at_endgame: 0
% 0.21/0.45 stat_given_candidates_h: 0
% 0.21/0.45 stat_binres_derived_cl: 0
% 0.21/0.45 stat_binres_derived_cl_h: 0
% 0.21/0.45 stat_factor_derived_cl: 0
% 0.21/0.45 stat_para_derived_cl: 2236
% 0.21/0.45 stat_tautologies_discarded: 0
% 0.21/0.45 stat_forward_subsumed: 275
% 0.21/0.45 stat_derived_cut: 0
% 0.21/0.45 stat_derived_rewritten: 26
% 0.21/0.45 stat_weight_discarded_building: 0
% 0.21/0.45 stat_weight_discarded_cl: 0
% 0.21/0.45 stat_internlimit_discarded_cl: 0
% 0.21/0.45 stat_simplified: 26 simplified 0 derived 0 given
% 0.21/0.45 stat_kept_cl: 1803
% 0.21/0.45 stat_built_cl: 1949
% 0.21/0.45 stat_hyperres_partial_cl: 0
% 0.21/0.45 stat_made_rewriters: 58
% 0.21/0.45 stat_backward_subsumed: 0
% 0.21/0.45 stat_propagated_subsumed: 0
% 0.21/0.45 stat_clsubs_attempted: 133
% 0.21/0.45 stat_clsubs_fact_groundunit_found: 0
% 0.21/0.45 stat_clsubs_rule_groundunit_found: 1
% 0.21/0.45 stat_clsubs_top_meta_attempted: 1491
% 0.21/0.45 stat_clsubs_top_meta_failed: 1358
% 0.21/0.45 stat_clsubs_top_meta_nonpref_attempted: 1491
% 0.21/0.45 stat_clsubs_top_meta_nonpref_succeeded: 456
% 0.21/0.45 stat_clsubs_top_meta_pref_attempted: 456
% 0.21/0.45 stat_clsubs_top_meta_pref1_succeeded: 456
% 0.21/0.45 stat_clsubs_top_meta_pref2_succeeded: 160
% 0.21/0.45 stat_clsubs_top_meta_pref3_succeeded: 133
% 0.21/0.45 stat_clsubs_top_meta_pref_succeeded: 133
% 0.21/0.45 stat_clsubs_meta_attempted: 133
% 0.21/0.45 stat_clsubs_meta_failed: 5
% 0.21/0.45 stat_clsubs_predsymbs_attempted: 0
% 0.21/0.45 stat_clsubs_unit_attempted: 133
% 0.21/0.45 stat_clsubs_full_attempted: 0
% 0.21/0.45 stat_forwardsubs_attempted: 2078
% 0.21/0.45 stat_lit_hash_added: 1814
% 0.21/0.45 stat_lit_hash_computed: 3960
% 0.21/0.45 stat_lit_hash_match_found: 276
% 0.21/0.45 stat_lit_hash_match_miss: 3699
% 0.21/0.45 stat_lit_hash_cut_ok: 0
% 0.21/0.45 stat_lit_strong_cut_ok: 0
% 0.21/0.45 stat_lit_hash_subsume_ok: 275
% 0.21/0.45 clqueue els 10000000 used 1
% 0.21/0.45 clactive els 10000000 used 61
% 0.21/0.45 clactivesubsume els 10000000 used 325
% 0.21/0.45 queue_termbuf els 200000000 used 123958
% 0.21/0.45 hyper_termbuf els 100000000 used 1
% 0.21/0.45 active_termbuf els 100000000 used 2370
% 0.21/0.45 varstack els 5000 last used 1
% 0.21/0.45 given_termbuf els 10000000 last used 1
% 0.21/0.45 simplified_termbuf els 10000000 last used 1
% 0.21/0.45 derived_termbuf els 10000000 last used 50
% 0.21/0.45 wr_mallocs: 7677
% 0.21/0.45 wr_callocs: 21
% 0.21/0.45 wr_reallocs: 244
% 0.21/0.45 wr_frees: 2
% 0.21/0.45 wr_malloc_bytes: 4162854628
% 0.21/0.45 wr_calloc_bytes: 112065536
% 0.21/0.45 wr_realloc_bytes: 34856
% 0.21/0.45 wr_realloc_freebytes: 0
% 0.21/0.45 ----------------------------------
%------------------------------------------------------------------------------