TSTP Solution File: GRP488-1 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : GRP488-1 : TPTP v8.1.2. Released v2.6.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n004.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 00:54:26 EDT 2023
% Result : Unsatisfiable 0.18s 0.48s
% Output : CNFRefutation 0.18s
% Verified :
% SZS Type : ERROR: Analysing output (Could not find formula named inverse)
% Comments :
%------------------------------------------------------------------------------
cnf('1',plain,
inverse(X) = double_divide(X,identity),
inference(cnf_transformation,[],[inverse]) ).
cnf('2',plain,
multiply(X0,X1) = double_divide(double_divide(X1,X0),identity),
inference(cnf_transformation,[],[multiply]) ).
cnf('3',plain,
multiply(X,Y) = inverse(double_divide(Y,X)),
inference(simplify,[],['2','1']) ).
cnf('4',plain,
multiply(identity,X) = inverse(inverse(X)),
inference(paramodulation,[],['1','3']) ).
cnf('5',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('6',plain,
double_divide(X,multiply(Y,double_divide(identity,double_divide(inverse(X),double_divide(Y,Z))))) = Z,
inference(simplify,[then_simplify],['5','1','1','3']) ).
cnf('7',plain,
double_divide(X3,inverse(inverse(double_divide(identity,double_divide(inverse(X3),double_divide(identity,Y3)))))) = Y3,
inference(paramodulation,[],['4','6']) ).
cnf('8',plain,
identity = double_divide(X,inverse(X)),
inference(cnf_transformation,[],[identity]) ).
cnf('9',plain,
multiply(inverse(X),X) = inverse(identity),
inference(paramodulation,[],['8','3']) ).
cnf('10',plain,
double_divide(X,multiply(Y,double_divide(identity,double_divide(inverse(X),inverse(Y))))) = identity,
inference(paramodulation,[],['1','6']) ).
cnf('11',plain,
double_divide(X3,multiply(inverse(X3),double_divide(identity,identity))) = identity,
inference(paramodulation,[],['8','10']) ).
cnf('12',plain,
double_divide(X,multiply(inverse(X),inverse(identity))) = identity,
inference(simplify,[],['11','1']) ).
cnf('13',plain,
double_divide(inverse(identity),inverse(identity)) = identity,
inference(paramodulation,[],['9','12']) ).
cnf('14',plain,
double_divide(identity,multiply(identity,double_divide(identity,identity))) = identity,
inference(paramodulation,[],['13','10']) ).
cnf('15',plain,
double_divide(identity,inverse(inverse(inverse(identity)))) = identity,
inference(simplify,[then_simplify],['14','1','4']) ).
cnf('16',plain,
double_divide(X3,multiply(Y3,double_divide(identity,double_divide(inverse(X3),identity)))) = inverse(Y3),
inference(paramodulation,[],['8','6']) ).
cnf('17',plain,
double_divide(X,multiply(Y,double_divide(identity,inverse(inverse(X))))) = inverse(Y),
inference(simplify,[],['16','1']) ).
cnf('18',plain,
double_divide(inverse(identity),multiply(X,identity)) = inverse(X),
inference(paramodulation,[],['15','17']) ).
cnf('19',plain,
double_divide(inverse(identity),inverse(identity)) = inverse(inverse(identity)),
inference(paramodulation,[],['9','18']) ).
cnf('20',plain,
identity = inverse(inverse(identity)),
inference(simplify,[],['19','13']) ).
cnf('21',plain,
multiply(multiply(X,identity),inverse(identity)) = inverse(inverse(X)),
inference(paramodulation,[],['18','3']) ).
cnf('22',plain,
multiply(multiply(identity,identity),inverse(identity)) = identity,
inference(paramodulation,[],['20','21']) ).
cnf('23',plain,
inverse(identity) = identity,
inference(simplify,[then_simplify],['22','4','20','4','20']) ).
cnf('24',plain,
identity = double_divide(double_divide(X,Y),multiply(Y,X)),
inference(paramodulation,[],['3','8']) ).
cnf('25',plain,
multiply(multiply(X,Y),double_divide(Y,X)) = inverse(identity),
inference(paramodulation,[],['24','3']) ).
cnf('26',plain,
double_divide(X,inverse(identity)) = inverse(multiply(inverse(inverse(X)),identity)),
inference(paramodulation,[],['25','17']) ).
cnf('27',plain,
double_divide(X3,identity) = inverse(multiply(inverse(inverse(X3)),identity)),
inference(paramodulation,[],['23','26']) ).
cnf('28',plain,
multiply(multiply(X,identity),identity) = inverse(inverse(X)),
inference(paramodulation,[],['23','21']) ).
cnf('29',plain,
multiply(inverse(inverse(X)),identity) = inverse(inverse(multiply(X,identity))),
inference(paramodulation,[],['28','28']) ).
cnf('30',plain,
inverse(X) = inverse(inverse(inverse(multiply(X,identity)))),
inference(simplify,[then_simplify],['27','1','29']) ).
cnf('31',plain,
identity = double_divide(inverse(inverse(multiply(X,identity))),inverse(X)),
inference(paramodulation,[],['30','8']) ).
cnf('32',plain,
double_divide(inverse(multiply(X3,identity)),multiply(X3,double_divide(identity,identity))) = identity,
inference(paramodulation,[],['31','10']) ).
cnf('33',plain,
double_divide(inverse(multiply(X,identity)),multiply(X,identity)) = identity,
inference(simplify,[then_simplify],['32','1','23']) ).
cnf('34',plain,
multiply(multiply(X3,identity),inverse(multiply(X3,identity))) = inverse(identity),
inference(paramodulation,[],['33','3']) ).
cnf('35',plain,
multiply(multiply(X,identity),inverse(multiply(X,identity))) = identity,
inference(simplify,[],['34','23']) ).
cnf('36',plain,
double_divide(identity,multiply(X,identity)) = inverse(X),
inference(paramodulation,[],['23','18']) ).
cnf('37',plain,
double_divide(identity,inverse(inverse(X))) = inverse(multiply(X,identity)),
inference(paramodulation,[],['28','36']) ).
cnf('38',plain,
double_divide(X,multiply(Y,inverse(multiply(X,identity)))) = inverse(Y),
inference(paramodulation,[],['37','17']) ).
cnf('39',plain,
double_divide(X3,identity) = inverse(multiply(X3,identity)),
inference(paramodulation,[],['35','38']) ).
cnf('40',plain,
inverse(X) = inverse(multiply(X,identity)),
inference(simplify,[],['39','1']) ).
cnf('41',plain,
inverse(X) = inverse(inverse(inverse(X))),
inference(paramodulation,[],['40','30']) ).
cnf('42',plain,
inverse(double_divide(X3,Y3)) = inverse(inverse(multiply(Y3,X3))),
inference(paramodulation,[],['3','41']) ).
cnf('43',plain,
multiply(X,Y) = inverse(inverse(multiply(X,Y))),
inference(simplify,[],['42','3']) ).
cnf('44',plain,
multiply(X,identity) = inverse(inverse(X)),
inference(paramodulation,[],['40','43']) ).
cnf('45',plain,
double_divide(X,multiply(Y,inverse(X))) = inverse(Y),
inference(paramodulation,[],['40','38']) ).
cnf('46',plain,
inverse(inverse(X)) = X,
inference(simplify,[then_simplify],['7','3','44','3','43','45','3','44']) ).
cnf('47',plain,
multiply(identity,a2) != a2,
inference(cnf_transformation,[],[prove_these_axioms_2]) ).
cnf('48',plain,
inverse(inverse(a2)) != a2,
inference(paramodulation,[],['4','47']) ).
cnf('49',plain,
$false,
inference(resolution,[],['46','48']) ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.11/0.12 % Problem : GRP488-1 : TPTP v8.1.2. Released v2.6.0.
% 0.11/0.13 % Command : gkc %s
% 0.13/0.32 % Computer : n004.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 20:27:52 EDT 2023
% 0.13/0.32 % CPUTime :
% 0.13/0.37
% 0.13/0.37 input clause set summed statistics:
% 0.13/0.37 ----------------------------------
% 0.13/0.37 in_clause_count: 5
% 0.13/0.37 in_rule_clause_count: 5
% 0.13/0.37 in_fact_clause_count: 0
% 0.13/0.37 in_answer_clause_count: 0
% 0.13/0.37 in_ground_clause_count: 1
% 0.13/0.37 in_unit_clause_count: 5
% 0.13/0.37 in_horn_clause_count: 5
% 0.13/0.37 in_pos_clause_count: 4
% 0.13/0.37 in_neg_clause_count: 1
% 0.13/0.37 in_poseq_clause_count: 4
% 0.13/0.37 in_negeq_clause_count: 1
% 0.13/0.37 in_unitposeq_clause_count: 4
% 0.13/0.37 in_chain_clause_count: 0
% 0.13/0.37 in_min_length: 1
% 0.13/0.37 in_max_length: 1
% 0.13/0.37 in_min_depth: 2
% 0.13/0.37 in_max_depth: 7
% 0.13/0.37 in_min_size: 5
% 0.13/0.37 in_max_size: 17
% 0.13/0.37 in_min_vars: 0
% 0.13/0.37 in_max_vars: 3
% 0.13/0.37 in_extaxiom_count: 0
% 0.13/0.37 in_axiom_count: 4
% 0.13/0.37 in_assumption_count: 0
% 0.13/0.37 in_goal_count: 1
% 0.13/0.37 in_neg_goal_count: 1
% 0.13/0.37 in_pos_goal_count: 0
% 0.13/0.37 in_posunit_goal_count: 0
% 0.13/0.37
% 0.13/0.37 auto guide:
% 0.13/0.37 -----------
% 0.13/0.37 {
% 0.13/0.37 "print":1,
% 0.13/0.37 "print_level": 15,
% 0.13/0.37 "max_size": 0,
% 0.13/0.37 "max_depth": 0,
% 0.13/0.37 "max_length": 0,
% 0.13/0.37 "max_dseconds": 0,
% 0.13/0.37 "runs":[
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.13/0.37 {"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},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.13/0.37 {"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},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0},
% 0.13/0.37 {"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},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.13/0.37 {"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},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "rewrite":0},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20, "rewrite":0},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":2},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 0},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 1},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 2},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "reverse_clauselist": 1},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 2},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 4},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 6},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 8},
% 0.13/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 10},
% 0.13/0.37 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":10},
% 0.13/0.37 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":15},
% 0.13/0.37 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":20},
% 0.13/0.37 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":20, "weight_select_ratio":2},
% 0.13/0.37 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.13/0.37 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.13/0.37 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.13/0.37 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.13/0.37 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.13/0.37 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.13/0.37 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.13/0.37 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
% 0.13/0.37 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.13/0.37 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.13/0.37 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.13/0.37 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4},
% 0.13/0.37
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1},
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0},
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1},
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0},
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.13/0.37 {"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},
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 1},
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 0},
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.13/0.37 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
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% 0.13/0.38 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":20},
% 0.13/0.38 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":20, "weight_select_ratio":2},
% 0.13/0.38 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.13/0.38 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.13/0.38 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.13/0.38 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.13/0.38 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.13/0.38 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.13/0.38 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.13/0.38 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
% 0.13/0.38 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.13/0.38 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.13/0.38 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.13/0.38 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4}
% 0.13/0.38
% 0.13/0.38 ]}
% 0.13/0.38
% 0.13/0.38
% 0.13/0.38 **** run 1 fork 0 starts with strategy
% 0.13/0.38 {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.13/0.38
% 0.13/0.38 **** run 2 fork 1 starts with strategy
% 0.13/0.38 {"max_dseconds":1,"strategy":["unit"],"query_preference":0}
% 0.13/0.38
% 0.13/0.38 **** run 3 fork 2 starts with strategy
% 0.13/0.38 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.13/0.38
% 0.13/0.38 **** run 4 fork 3 starts with strategy
% 0.13/0.38 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20,"depth_penalty":100}
% 0.13/0.38
% 0.13/0.38 **** run 5 fork 4 starts with strategy
% 0.13/0.38 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":20,"repeat_var_weight":1,"depth_penalty":100}
% 0.13/0.38
% 0.13/0.38 **** run 6 fork 5 starts with strategy
% 0.13/0.38 {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20}
% 0.13/0.38
% 0.13/0.38 **** run 7 fork 6 starts with strategy
% 0.18/0.38 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20}
% 0.18/0.38
% 0.18/0.38 **** run 8 fork 7 starts with strategy
% 0.18/0.38 {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20,"depth_penalty":50}
% 0.18/0.48
% 0.18/0.48
% 0.18/0.48 result: proof found
% 0.18/0.48 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.18/0.48 by run 5 fork 4 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":20,"repeat_var_weight":1,"depth_penalty":100}
% 0.18/0.48 % SZS status Unsatisfiable for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.18/0.48
% 0.18/0.48 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% See solution above
% 0.18/0.48
% 0.18/0.48 run 5 fork 4 statistics:
% 0.18/0.48 ----------------------------------
% 0.18/0.48 this run seconds: 0.071736
% 0.18/0.48 total seconds: 0.101483
% 0.18/0.48 stat_given_used: 109
% 0.18/0.48 stat_given_used_at_endgame: 0
% 0.18/0.48 stat_given_candidates: 756
% 0.18/0.48 stat_given_candidates_at_endgame: 0
% 0.18/0.48 stat_given_candidates_h: 0
% 0.18/0.48 stat_binres_derived_cl: 1
% 0.18/0.48 stat_binres_derived_cl_h: 0
% 0.18/0.48 stat_factor_derived_cl: 0
% 0.18/0.48 stat_para_derived_cl: 7179
% 0.18/0.48 stat_tautologies_discarded: 0
% 0.18/0.48 stat_forward_subsumed: 395
% 0.18/0.48 stat_derived_cut: 0
% 0.18/0.48 stat_derived_rewritten: 24
% 0.18/0.48 stat_weight_discarded_building: 0
% 0.18/0.48 stat_weight_discarded_cl: 1912
% 0.18/0.48 stat_internlimit_discarded_cl: 0
% 0.18/0.48 stat_simplified: 24 simplified 0 derived 0 given
% 0.18/0.48 stat_kept_cl: 4639
% 0.18/0.48 stat_built_cl: 6793
% 0.18/0.48 stat_hyperres_partial_cl: 0
% 0.18/0.48 stat_made_rewriters: 106
% 0.18/0.48 stat_backward_subsumed: 0
% 0.18/0.48 stat_propagated_subsumed: 0
% 0.18/0.48 stat_clsubs_attempted: 425
% 0.18/0.48 stat_clsubs_fact_groundunit_found: 0
% 0.18/0.48 stat_clsubs_rule_groundunit_found: 1
% 0.18/0.48 stat_clsubs_top_meta_attempted: 5263
% 0.18/0.48 stat_clsubs_top_meta_failed: 4838
% 0.18/0.48 stat_clsubs_top_meta_nonpref_attempted: 5263
% 0.18/0.48 stat_clsubs_top_meta_nonpref_succeeded: 2130
% 0.18/0.48 stat_clsubs_top_meta_pref_attempted: 2130
% 0.18/0.48 stat_clsubs_top_meta_pref1_succeeded: 2130
% 0.18/0.48 stat_clsubs_top_meta_pref2_succeeded: 781
% 0.18/0.48 stat_clsubs_top_meta_pref3_succeeded: 425
% 0.18/0.48 stat_clsubs_top_meta_pref_succeeded: 425
% 0.18/0.48 stat_clsubs_meta_attempted: 425
% 0.18/0.48 stat_clsubs_meta_failed: 31
% 0.18/0.48 stat_clsubs_predsymbs_attempted: 0
% 0.18/0.48 stat_clsubs_unit_attempted: 425
% 0.18/0.48 stat_clsubs_full_attempted: 0
% 0.18/0.48 stat_forwardsubs_attempted: 6946
% 0.18/0.48 stat_lit_hash_added: 4651
% 0.18/0.48 stat_lit_hash_computed: 11720
% 0.18/0.48 stat_lit_hash_match_found: 401
% 0.18/0.48 stat_lit_hash_match_miss: 13243
% 0.18/0.48 stat_lit_hash_cut_ok: 0
% 0.18/0.48 stat_lit_strong_cut_ok: 0
% 0.18/0.48 stat_lit_hash_subsume_ok: 395
% 0.18/0.48 clqueue els 10000000 used 1
% 0.18/0.48 clactive els 10000000 used 110
% 0.18/0.48 clactivesubsume els 10000000 used 613
% 0.18/0.48 queue_termbuf els 200000000 used 352375
% 0.18/0.48 hyper_termbuf els 100000000 used 1
% 0.18/0.48 active_termbuf els 100000000 used 4918
% 0.18/0.48 varstack els 5000 last used 1
% 0.18/0.48 given_termbuf els 10000000 last used 26
% 0.18/0.48 simplified_termbuf els 10000000 last used 1
% 0.18/0.48 derived_termbuf els 10000000 last used 3
% 0.18/0.48 wr_mallocs: 19396
% 0.18/0.48 wr_callocs: 21
% 0.18/0.48 wr_reallocs: 627
% 0.18/0.48 wr_frees: 2
% 0.18/0.48 wr_malloc_bytes: 4163270468
% 0.18/0.48 wr_calloc_bytes: 112065536
% 0.18/0.48 wr_realloc_bytes: 119912
% 0.18/0.48 wr_realloc_freebytes: 0
% 0.18/0.48 ----------------------------------
%------------------------------------------------------------------------------