TSTP Solution File: GRP582-1 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : GRP582-1 : 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 00:54:51 EDT 2023
% Result : Unsatisfiable 0.17s 0.41s
% Output : CNFRefutation 0.17s
% 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,
double_divide(double_divide(X0,double_divide(double_divide(identity,X1),double_divide(X2,double_divide(X1,X0)))),double_divide(identity,identity)) = X2,
inference(cnf_transformation,[],[single_axiom]) ).
cnf('7',plain,
double_divide(double_divide(X,double_divide(double_divide(identity,Y),double_divide(Z,double_divide(Y,X)))),inverse(identity)) = Z,
inference(simplify,[],['6','2']) ).
cnf('8',plain,
double_divide(double_divide(identity,double_divide(double_divide(identity,X),double_divide(Y,inverse(X)))),inverse(identity)) = Y,
inference(paramodulation,[],['2','7']) ).
cnf('9',plain,
double_divide(double_divide(identity,double_divide(double_divide(identity,X3),identity)),inverse(identity)) = X3,
inference(paramodulation,[],['4','8']) ).
cnf('10',plain,
double_divide(double_divide(identity,multiply(X,identity)),inverse(identity)) = X,
inference(simplify,[then_simplify],['9','2','3']) ).
cnf('11',plain,
double_divide(double_divide(identity,inverse(identity)),inverse(identity)) = inverse(identity),
inference(paramodulation,[],['5','10']) ).
cnf('12',plain,
identity = inverse(identity),
inference(simplify,[then_simplify],['11','4','4']) ).
cnf('13',plain,
double_divide(double_divide(inverse(X3),double_divide(double_divide(identity,X3),double_divide(Y3,identity))),inverse(identity)) = Y3,
inference(paramodulation,[],['4','7']) ).
cnf('14',plain,
double_divide(double_divide(inverse(X),double_divide(double_divide(identity,X),inverse(Y))),inverse(identity)) = Y,
inference(simplify,[],['13','2']) ).
cnf('15',plain,
double_divide(double_divide(inverse(X3),identity),inverse(identity)) = double_divide(identity,X3),
inference(paramodulation,[],['4','14']) ).
cnf('16',plain,
double_divide(inverse(inverse(X)),inverse(identity)) = double_divide(identity,X),
inference(simplify,[],['15','2']) ).
cnf('17',plain,
double_divide(inverse(inverse(X3)),identity) = double_divide(identity,X3),
inference(paramodulation,[],['12','16']) ).
cnf('18',plain,
inverse(inverse(inverse(X))) = double_divide(identity,X),
inference(simplify,[],['17','2']) ).
cnf('19',plain,
inverse(inverse(multiply(X,Y))) = double_divide(identity,double_divide(Y,X)),
inference(paramodulation,[],['3','18']) ).
cnf('20',plain,
double_divide(double_divide(identity,multiply(X3,identity)),identity) = X3,
inference(paramodulation,[],['12','10']) ).
cnf('21',plain,
multiply(multiply(X,identity),identity) = X,
inference(simplify,[then_simplify],['20','2','3']) ).
cnf('22',plain,
multiply(inverse(identity),inverse(inverse(X3))) = inverse(double_divide(identity,X3)),
inference(paramodulation,[],['16','3']) ).
cnf('23',plain,
multiply(inverse(identity),inverse(inverse(X))) = multiply(X,identity),
inference(simplify,[],['22','3']) ).
cnf('24',plain,
multiply(inverse(identity),inverse(inverse(multiply(X3,identity)))) = X3,
inference(paramodulation,[],['21','23']) ).
cnf('25',plain,
multiply(identity,X) = inverse(inverse(X)),
inference(paramodulation,[],['2','3']) ).
cnf('26',plain,
multiply(identity,inverse(inverse(X3))) = multiply(X3,identity),
inference(paramodulation,[],['12','23']) ).
cnf('27',plain,
inverse(inverse(inverse(inverse(X)))) = multiply(X,identity),
inference(simplify,[],['26','25']) ).
cnf('28',plain,
double_divide(identity,inverse(X)) = multiply(X,identity),
inference(paramodulation,[],['18','27']) ).
cnf('29',plain,
double_divide(identity,multiply(X,Y)) = multiply(double_divide(Y,X),identity),
inference(paramodulation,[],['3','28']) ).
cnf('30',plain,
inverse(multiply(double_divide(identity,X),identity)) = X,
inference(simplify,[then_simplify],['24','12','25','18','29']) ).
cnf('31',plain,
double_divide(double_divide(inverse(multiply(X,identity)),X),inverse(identity)) = identity,
inference(paramodulation,[],['10','14']) ).
cnf('32',plain,
double_divide(double_divide(inverse(multiply(X3,identity)),X3),identity) = identity,
inference(paramodulation,[],['12','31']) ).
cnf('33',plain,
multiply(X,inverse(multiply(X,identity))) = identity,
inference(simplify,[then_simplify],['32','2','3']) ).
cnf('34',plain,
multiply(double_divide(identity,X),X) = identity,
inference(paramodulation,[],['30','33']) ).
cnf('35',plain,
multiply(multiply(X,identity),inverse(X)) = identity,
inference(paramodulation,[],['21','33']) ).
cnf('36',plain,
multiply(multiply(double_divide(X,Y),identity),multiply(Y,X)) = identity,
inference(paramodulation,[],['3','35']) ).
cnf('37',plain,
multiply(multiply(double_divide(X3,double_divide(identity,X3)),identity),identity) = identity,
inference(paramodulation,[],['34','36']) ).
cnf('38',plain,
double_divide(X,double_divide(identity,X)) = identity,
inference(simplify,[],['37','21']) ).
cnf('39',plain,
double_divide(double_divide(X,Y),inverse(inverse(multiply(Y,X)))) = identity,
inference(paramodulation,[],['19','38']) ).
cnf('40',plain,
double_divide(double_divide(inverse(X3),double_divide(double_divide(identity,X3),inverse(Y3))),identity) = Y3,
inference(paramodulation,[],['12','14']) ).
cnf('41',plain,
multiply(double_divide(double_divide(identity,X),inverse(Y)),inverse(X)) = Y,
inference(simplify,[then_simplify],['40','2','3']) ).
cnf('42',plain,
multiply(identity,inverse(X3)) = inverse(multiply(X3,identity)),
inference(paramodulation,[],['39','41']) ).
cnf('43',plain,
double_divide(identity,X) = inverse(multiply(X,identity)),
inference(simplify,[then_simplify],['42','25','18']) ).
cnf('44',plain,
double_divide(identity,double_divide(identity,X3)) = X3,
inference(paramodulation,[],['43','30']) ).
cnf('45',plain,
multiply(X,identity) = X,
inference(simplify,[then_simplify],['44','19','43','3']) ).
cnf('46',plain,
inverse(double_divide(identity,X3)) = X3,
inference(paramodulation,[],['45','30']) ).
cnf('47',plain,
double_divide(identity,X) = inverse(X),
inference(paramodulation,[],['45','43']) ).
cnf('48',plain,
inverse(inverse(X)) = X,
inference(simplify,[],['46','47']) ).
cnf('49',plain,
multiply(identity,a2) != a2,
inference(cnf_transformation,[],[prove_these_axioms_2]) ).
cnf('50',plain,
$false,
inference(paramodulation,[then_simplify],['48','25','49']) ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.10 % Problem : GRP582-1 : TPTP v8.1.2. Released v2.6.0.
% 0.00/0.11 % Command : gkc %s
% 0.13/0.32 % Computer : n026.cluster.edu
% 0.13/0.32 % Model : x86_64 x86_64
% 0.13/0.32 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.32 % Memory : 8042.1875MB
% 0.13/0.32 % OS : Linux 3.10.0-693.el7.x86_64
% 0.13/0.32 % CPULimit : 300
% 0.13/0.32 % WCLimit : 300
% 0.13/0.32 % DateTime : Mon Aug 28 21:06:50 EDT 2023
% 0.13/0.32 % CPUTime :
% 0.17/0.39
% 0.17/0.39 input clause set summed statistics:
% 0.17/0.39 ----------------------------------
% 0.17/0.39 in_clause_count: 5
% 0.17/0.39 in_rule_clause_count: 5
% 0.17/0.39 in_fact_clause_count: 0
% 0.17/0.39 in_answer_clause_count: 0
% 0.17/0.39 in_ground_clause_count: 1
% 0.17/0.39 in_unit_clause_count: 5
% 0.17/0.39 in_horn_clause_count: 5
% 0.17/0.39 in_pos_clause_count: 4
% 0.17/0.39 in_neg_clause_count: 1
% 0.17/0.39 in_poseq_clause_count: 4
% 0.17/0.39 in_negeq_clause_count: 1
% 0.17/0.39 in_unitposeq_clause_count: 4
% 0.17/0.39 in_chain_clause_count: 0
% 0.17/0.39 in_min_length: 1
% 0.17/0.39 in_max_length: 1
% 0.17/0.39 in_min_depth: 2
% 0.17/0.39 in_max_depth: 6
% 0.17/0.39 in_min_size: 5
% 0.17/0.39 in_max_size: 17
% 0.17/0.39 in_min_vars: 0
% 0.17/0.39 in_max_vars: 3
% 0.17/0.39 in_extaxiom_count: 0
% 0.17/0.39 in_axiom_count: 4
% 0.17/0.39 in_assumption_count: 0
% 0.17/0.39 in_goal_count: 1
% 0.17/0.39 in_neg_goal_count: 1
% 0.17/0.39 in_pos_goal_count: 0
% 0.17/0.39 in_posunit_goal_count: 0
% 0.17/0.39
% 0.17/0.39 auto guide:
% 0.17/0.39 -----------
% 0.17/0.39 {
% 0.17/0.39 "print":1,
% 0.17/0.39 "print_level": 15,
% 0.17/0.39 "max_size": 0,
% 0.17/0.39 "max_depth": 0,
% 0.17/0.39 "max_length": 0,
% 0.17/0.39 "max_dseconds": 0,
% 0.17/0.39 "runs":[
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% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
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% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
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% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.17/0.39 {"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},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0},
% 0.17/0.39 {"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},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.17/0.39 {"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},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "rewrite":0},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20, "rewrite":0},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":2},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 0},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 1},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 2},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "reverse_clauselist": 1},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 2},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 4},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 6},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 8},
% 0.17/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 10},
% 0.17/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":10},
% 0.17/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":15},
% 0.17/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":20},
% 0.17/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":20, "weight_select_ratio":2},
% 0.17/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.17/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.17/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.17/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.17/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.17/0.39 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.17/0.39 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.17/0.39 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
% 0.17/0.39 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.17/0.39 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.17/0.39 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.17/0.39 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4},
% 0.17/0.39
% 0.17/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1},
% 0.17/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0},
% 0.17/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.17/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.17/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.17/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.17/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.17/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.17/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.17/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1},
% 0.17/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0},
% 0.17/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.17/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.17/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.17/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.17/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.17/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.17/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.17/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 1},
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% 0.17/0.39 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 6},
% 0.17/0.39 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 8},
% 0.17/0.39 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 10},
% 0.17/0.39 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":10},
% 0.17/0.39 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":15},
% 0.17/0.39 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":20},
% 0.17/0.39 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":20, "weight_select_ratio":2},
% 0.17/0.39 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.17/0.39 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.17/0.39 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.17/0.39 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.17/0.39 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.17/0.39 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.17/0.39 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.17/0.39 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
% 0.17/0.39 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.17/0.39 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.17/0.39 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.17/0.39 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4}
% 0.17/0.39
% 0.17/0.39 ]}
% 0.17/0.39
% 0.17/0.39
% 0.17/0.39 **** run 2 fork 1 starts with strategy
% 0.17/0.39 {"max_dseconds":1,"strategy":["unit"],"query_preference":0}
% 0.17/0.39
% 0.17/0.39 **** run 3 fork 2 starts with strategy
% 0.17/0.39 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.17/0.39
% 0.17/0.39 **** run 4 fork 3 starts with strategy
% 0.17/0.39 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20,"depth_penalty":100}
% 0.17/0.39
% 0.17/0.39 **** run 5 fork 4 starts with strategy
% 0.17/0.39 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":20,"repeat_var_weight":1,"depth_penalty":100}
% 0.17/0.39
% 0.17/0.39 **** run 1 fork 0 starts with strategy
% 0.17/0.39 {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.17/0.40
% 0.17/0.40 **** run 7 fork 6 starts with strategy
% 0.17/0.40 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20}
% 0.17/0.40
% 0.17/0.40 **** run 6 fork 5 starts with strategy
% 0.17/0.40 {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20}
% 0.17/0.40 **** run 8 fork 7 starts with strategy
% 0.17/0.40 {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20,"depth_penalty":50}
% 0.17/0.40
% 0.17/0.41
% 0.17/0.41
% 0.17/0.41 result: proof found
% 0.17/0.41 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.17/0.41 by run 3 fork 2 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.17/0.41 % SZS status Unsatisfiable for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.17/0.41
% 0.17/0.41 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% See solution above
% 0.17/0.41
% 0.17/0.41 run 3 fork 2 statistics:
% 0.17/0.41 ----------------------------------
% 0.17/0.41 this run seconds: 0.019383
% 0.17/0.41 total seconds: 0.021181
% 0.17/0.41 stat_given_used: 65
% 0.17/0.41 stat_given_used_at_endgame: 0
% 0.17/0.41 stat_given_candidates: 319
% 0.17/0.41 stat_given_candidates_at_endgame: 0
% 0.17/0.41 stat_given_candidates_h: 0
% 0.17/0.41 stat_binres_derived_cl: 0
% 0.17/0.41 stat_binres_derived_cl_h: 0
% 0.17/0.41 stat_factor_derived_cl: 0
% 0.17/0.41 stat_para_derived_cl: 2070
% 0.17/0.41 stat_tautologies_discarded: 0
% 0.17/0.41 stat_forward_subsumed: 164
% 0.17/0.41 stat_derived_cut: 1
% 0.17/0.41 stat_derived_rewritten: 22
% 0.17/0.41 stat_weight_discarded_building: 0
% 0.17/0.41 stat_weight_discarded_cl: 0
% 0.17/0.41 stat_internlimit_discarded_cl: 0
% 0.17/0.41 stat_simplified: 22 simplified 0 derived 0 given
% 0.17/0.41 stat_kept_cl: 1770
% 0.17/0.41 stat_built_cl: 1922
% 0.17/0.41 stat_hyperres_partial_cl: 0
% 0.17/0.41 stat_made_rewriters: 64
% 0.17/0.41 stat_backward_subsumed: 0
% 0.17/0.41 stat_propagated_subsumed: 0
% 0.17/0.41 stat_clsubs_attempted: 120
% 0.17/0.41 stat_clsubs_fact_groundunit_found: 0
% 0.17/0.41 stat_clsubs_rule_groundunit_found: 0
% 0.17/0.41 stat_clsubs_top_meta_attempted: 1929
% 0.17/0.41 stat_clsubs_top_meta_failed: 1809
% 0.17/0.41 stat_clsubs_top_meta_nonpref_attempted: 1929
% 0.17/0.41 stat_clsubs_top_meta_nonpref_succeeded: 703
% 0.17/0.41 stat_clsubs_top_meta_pref_attempted: 703
% 0.17/0.41 stat_clsubs_top_meta_pref1_succeeded: 703
% 0.17/0.41 stat_clsubs_top_meta_pref2_succeeded: 222
% 0.17/0.41 stat_clsubs_top_meta_pref3_succeeded: 120
% 0.17/0.41 stat_clsubs_top_meta_pref_succeeded: 120
% 0.17/0.41 stat_clsubs_meta_attempted: 120
% 0.17/0.41 stat_clsubs_meta_failed: 10
% 0.17/0.41 stat_clsubs_predsymbs_attempted: 0
% 0.17/0.41 stat_clsubs_unit_attempted: 120
% 0.17/0.41 stat_clsubs_full_attempted: 0
% 0.17/0.41 stat_forwardsubs_attempted: 1935
% 0.17/0.41 stat_lit_hash_added: 1778
% 0.17/0.41 stat_lit_hash_computed: 3781
% 0.17/0.41 stat_lit_hash_match_found: 164
% 0.17/0.41 stat_lit_hash_match_miss: 3632
% 0.17/0.41 stat_lit_hash_cut_ok: 0
% 0.17/0.41 stat_lit_strong_cut_ok: 1
% 0.17/0.41 stat_lit_hash_subsume_ok: 164
% 0.17/0.41 clqueue els 10000000 used 1
% 0.17/0.41 clactive els 10000000 used 66
% 0.17/0.41 clactivesubsume els 10000000 used 373
% 0.17/0.41 queue_termbuf els 200000000 used 123473
% 0.17/0.41 hyper_termbuf els 100000000 used 1
% 0.17/0.41 active_termbuf els 100000000 used 2615
% 0.17/0.41 varstack els 5000 last used 1
% 0.17/0.41 given_termbuf els 10000000 last used 1
% 0.17/0.41 simplified_termbuf els 10000000 last used 1
% 0.17/0.41 derived_termbuf els 10000000 last used 30
% 0.17/0.41 wr_mallocs: 7709
% 0.17/0.41 wr_callocs: 21
% 0.17/0.41 wr_reallocs: 221
% 0.17/0.41 wr_frees: 2
% 0.17/0.41 wr_malloc_bytes: 4162851348
% 0.17/0.41 wr_calloc_bytes: 112065536
% 0.17/0.41 wr_realloc_bytes: 47384
% 0.17/0.41 wr_realloc_freebytes: 0
% 0.17/0.41 ----------------------------------
%------------------------------------------------------------------------------