TSTP Solution File: GRP596-1 by GKC---0.8
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%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : GRP596-1 : TPTP v8.1.2. Bugfixed v2.7.0.
% 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 00:54:55 EDT 2023
% Result : Unsatisfiable 0.20s 0.44s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : ERROR: Analysing output (Could not find formula named single_axiom)
% Comments :
%------------------------------------------------------------------------------
cnf('1',plain,
inverse(double_divide(double_divide(X0,X1),inverse(double_divide(X0,inverse(double_divide(X2,X1)))))) = X2,
inference(cnf_transformation,[],[single_axiom]) ).
cnf('2',plain,
multiply(X,Y) = inverse(double_divide(Y,X)),
inference(cnf_transformation,[],[multiply]) ).
cnf('3',plain,
multiply(multiply(multiply(X,Y),Z),double_divide(Z,X)) = Y,
inference(simplify,[then_simplify],['1','2','2','2']) ).
cnf('4',plain,
multiply(X,double_divide(double_divide(Y,Z),multiply(Z,X))) = Y,
inference(paramodulation,[],['3','3']) ).
cnf('5',plain,
multiply(multiply(X,Y),double_divide(Y,multiply(multiply(Z,X),U))) = double_divide(U,Z),
inference(paramodulation,[],['3','3']) ).
cnf('6',plain,
double_divide(multiply(X,double_divide(Y,multiply(Z,X))),Z) = Y,
inference(paramodulation,[],['5','4']) ).
cnf('7',plain,
double_divide(double_divide(multiply(X,Y),Z),multiply(Z,X)) = Y,
inference(paramodulation,[],['5','6']) ).
cnf('8',plain,
multiply(multiply(X,Y),double_divide(multiply(Y,Z),X)) = inverse(Z),
inference(paramodulation,[],['7','2']) ).
cnf('9',plain,
multiply(multiply(inverse(X),Y),double_divide(Y,multiply(Z,U))) = double_divide(multiply(U,X),Z),
inference(paramodulation,[],['8','3']) ).
cnf('10',plain,
double_divide(multiply(X3,Y3),multiply(Z3,inverse(Y3))) = double_divide(X3,Z3),
inference(paramodulation,[],['9','5']) ).
cnf('11',plain,
multiply(multiply(double_divide(X,Y),Z),double_divide(Z,multiply(U,V))) = double_divide(V,multiply(multiply(Y,U),X)),
inference(paramodulation,[],['5','3']) ).
cnf('12',plain,
double_divide(multiply(double_divide(X,Y),double_divide(Z,U)),multiply(multiply(Y,U),X)) = Z,
inference(paramodulation,[],['11','4']) ).
cnf('13',plain,
double_divide(multiply(X,Y),multiply(Z,U)) = multiply(double_divide(X,Z),double_divide(Y,U)),
inference(paramodulation,[],['12','6']) ).
cnf('14',plain,
multiply(double_divide(X,Y),double_divide(Z,inverse(Z))) = double_divide(X,Y),
inference(simplify,[],['10','13']) ).
cnf('15',plain,
multiply(multiply(X,Y),multiply(Z,U)) = inverse(multiply(double_divide(Z,X),double_divide(U,Y))),
inference(paramodulation,[],['13','2']) ).
cnf('16',plain,
multiply(multiply(X3,inverse(Y3)),multiply(Z3,Y3)) = inverse(double_divide(Z3,X3)),
inference(paramodulation,[],['14','15']) ).
cnf('17',plain,
multiply(multiply(X,inverse(Y)),multiply(Z,Y)) = multiply(X,Z),
inference(simplify,[],['16','2']) ).
cnf('18',plain,
multiply(multiply(X,multiply(Y,Z)),multiply(U,double_divide(Z,Y))) = multiply(X,U),
inference(paramodulation,[],['2','17']) ).
cnf('19',plain,
multiply(multiply(X,Y),multiply(Z,double_divide(U,Y))) = multiply(multiply(X,inverse(U)),Z),
inference(paramodulation,[],['17','18']) ).
cnf('20',plain,
multiply(multiply(X3,Y3),Z3) = multiply(multiply(X3,inverse(U3)),multiply(multiply(Y3,Z3),U3)),
inference(paramodulation,[],['3','19']) ).
cnf('21',plain,
multiply(multiply(X,Y),Z) = multiply(X,multiply(Y,Z)),
inference(simplify,[],['20','17']) ).
cnf('22',plain,
multiply(multiply(X,Y),multiply(Z,double_divide(Z,X))) = Y,
inference(paramodulation,[],['21','3']) ).
cnf('23',plain,
multiply(multiply(X,Y),inverse(X)) = Y,
inference(paramodulation,[],['8','22']) ).
cnf('24',plain,
multiply(X,inverse(Y)) = double_divide(double_divide(X,Z),multiply(Z,Y)),
inference(paramodulation,[],['4','23']) ).
cnf('25',plain,
multiply(multiply(multiply(X,Y),Z),multiply(double_divide(Z,X),double_divide(U,Y))) = inverse(U),
inference(paramodulation,[],['12','2']) ).
cnf('26',plain,
multiply(multiply(multiply(X,Y),inverse(Z)),double_divide(Y,X)) = inverse(Z),
inference(paramodulation,[],['19','25']) ).
cnf('27',plain,
multiply(X,double_divide(X,Y)) = inverse(Y),
inference(paramodulation,[],['23','26']) ).
cnf('28',plain,
multiply(double_divide(X,Y),double_divide(double_divide(Z,U),multiply(U,Z))) = double_divide(X,Y),
inference(paramodulation,[],['2','14']) ).
cnf('29',plain,
inverse(multiply(X,Y)) = double_divide(Y,X),
inference(paramodulation,[],['27','28']) ).
cnf('30',plain,
inverse(inverse(X)) = double_divide(double_divide(Y,X),Y),
inference(paramodulation,[],['27','29']) ).
cnf('31',plain,
inverse(inverse(X3)) = multiply(multiply(X3,Y3),inverse(Y3)),
inference(paramodulation,[],['24','30']) ).
cnf('32',plain,
inverse(inverse(X)) = X,
inference(paramodulation,[],['30','7']) ).
cnf('33',plain,
X = multiply(multiply(X,Y),inverse(Y)),
inference(simplify,[],['31','32']) ).
cnf('34',plain,
multiply(X,double_divide(Y,X)) = inverse(Y),
inference(paramodulation,[],['33','26']) ).
cnf('35',plain,
multiply(inverse(X3),inverse(Y3)) = double_divide(X3,Y3),
inference(paramodulation,[],['34','23']) ).
cnf('36',plain,
multiply(inverse(X),inverse(Y)) = double_divide(Y,X),
inference(paramodulation,[],['27','23']) ).
cnf('37',plain,
double_divide(X,Y) = double_divide(Y,X),
inference(simplify,[],['35','36']) ).
cnf('38',plain,
multiply(X3,Y3) = inverse(double_divide(X3,Y3)),
inference(paramodulation,[],['37','2']) ).
cnf('39',plain,
multiply(X,Y) = multiply(Y,X),
inference(simplify,[],['38','2']) ).
cnf('40',plain,
multiply(a,b) != multiply(b,a),
inference(cnf_transformation,[],[prove_these_axioms_4]) ).
cnf('41',plain,
$false,
inference(resolution,[],['39','40']) ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.07/0.12 % Problem : GRP596-1 : TPTP v8.1.2. Bugfixed v2.7.0.
% 0.07/0.13 % 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 : Mon Aug 28 21:11:32 EDT 2023
% 0.20/0.34 % CPUTime :
% 0.20/0.39
% 0.20/0.39 input clause set summed statistics:
% 0.20/0.39 ----------------------------------
% 0.20/0.39 in_clause_count: 3
% 0.20/0.39 in_rule_clause_count: 3
% 0.20/0.39 in_fact_clause_count: 0
% 0.20/0.39 in_answer_clause_count: 0
% 0.20/0.39 in_ground_clause_count: 1
% 0.20/0.39 in_unit_clause_count: 3
% 0.20/0.39 in_horn_clause_count: 3
% 0.20/0.39 in_pos_clause_count: 2
% 0.20/0.39 in_neg_clause_count: 1
% 0.20/0.39 in_poseq_clause_count: 2
% 0.20/0.39 in_negeq_clause_count: 1
% 0.20/0.39 in_unitposeq_clause_count: 2
% 0.20/0.39 in_chain_clause_count: 0
% 0.20/0.39 in_min_length: 1
% 0.20/0.39 in_max_length: 1
% 0.20/0.39 in_min_depth: 2
% 0.20/0.39 in_max_depth: 7
% 0.20/0.39 in_min_size: 7
% 0.20/0.39 in_max_size: 14
% 0.20/0.39 in_min_vars: 0
% 0.20/0.39 in_max_vars: 3
% 0.20/0.39 in_extaxiom_count: 0
% 0.20/0.39 in_axiom_count: 2
% 0.20/0.39 in_assumption_count: 0
% 0.20/0.39 in_goal_count: 1
% 0.20/0.39 in_neg_goal_count: 1
% 0.20/0.39 in_pos_goal_count: 0
% 0.20/0.39 in_posunit_goal_count: 0
% 0.20/0.39
% 0.20/0.39 auto guide:
% 0.20/0.39 -----------
% 0.20/0.39 {
% 0.20/0.39 "print":1,
% 0.20/0.39 "print_level": 15,
% 0.20/0.39 "max_size": 0,
% 0.20/0.39 "max_depth": 0,
% 0.20/0.39 "max_length": 0,
% 0.20/0.39 "max_dseconds": 0,
% 0.20/0.39 "runs":[
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.20/0.39 {"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},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.20/0.39 {"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},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0},
% 0.20/0.39 {"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},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.20/0.39 {"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},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "rewrite":0},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20, "rewrite":0},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":2},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 0},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 2},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "reverse_clauselist": 1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 2},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 4},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 6},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 8},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 10},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":10},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":15},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":20},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":20, "weight_select_ratio":2},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4},
% 0.20/0.39
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.20/0.39 {"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},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 1},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 0},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20},
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% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4}
% 0.20/0.39
% 0.20/0.39 ]}
% 0.20/0.39
% 0.20/0.39
% 0.20/0.39 **** run 1 fork 0 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.20/0.39
% 0.20/0.39 **** run 2 fork 1 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["unit"],"query_preference":0}
% 0.20/0.39
% 0.20/0.39 **** run 3 fork 2 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.20/0.39
% 0.20/0.39 **** run 4 fork 3 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20,"depth_penalty":100}
% 0.20/0.39
% 0.20/0.39 **** run 5 fork 4 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":20,"repeat_var_weight":1,"depth_penalty":100}
% 0.20/0.40
% 0.20/0.40 **** run 6 fork 5 starts with strategy
% 0.20/0.40
% 0.20/0.40 **** run 7 fork 6 starts with strategy
% 0.20/0.40 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20}
% 0.20/0.40 {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20}
% 0.20/0.40
% 0.20/0.40 **** run 8 fork 7 starts with strategy
% 0.20/0.40 {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20,"depth_penalty":50}
% 0.20/0.44
% 0.20/0.44
% 0.20/0.44 result: proof found
% 0.20/0.44 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.44 by run 4 fork 3 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20,"depth_penalty":100}
% 0.20/0.44 % SZS status Unsatisfiable for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.44
% 0.20/0.44 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% See solution above
% 0.20/0.44
% 0.20/0.44 run 4 fork 3 statistics:
% 0.20/0.44 ----------------------------------
% 0.20/0.44 this run seconds: 0.026400
% 0.20/0.44 total seconds: 0.048713
% 0.20/0.44 stat_given_used: 44
% 0.20/0.44 stat_given_used_at_endgame: 0
% 0.20/0.44 stat_given_candidates: 75
% 0.20/0.44 stat_given_candidates_at_endgame: 0
% 0.20/0.44 stat_given_candidates_h: 0
% 0.20/0.44 stat_binres_derived_cl: 1
% 0.20/0.44 stat_binres_derived_cl_h: 0
% 0.20/0.44 stat_factor_derived_cl: 0
% 0.20/0.44 stat_para_derived_cl: 2344
% 0.20/0.44 stat_tautologies_discarded: 0
% 0.20/0.44 stat_forward_subsumed: 261
% 0.20/0.44 stat_derived_cut: 0
% 0.20/0.44 stat_derived_rewritten: 10
% 0.20/0.44 stat_weight_discarded_building: 0
% 0.20/0.44 stat_weight_discarded_cl: 0
% 0.20/0.44 stat_internlimit_discarded_cl: 0
% 0.20/0.44 stat_simplified: 10 simplified 0 derived 0 given
% 0.20/0.44 stat_kept_cl: 1960
% 0.20/0.44 stat_built_cl: 2058
% 0.20/0.44 stat_hyperres_partial_cl: 0
% 0.20/0.44 stat_made_rewriters: 40
% 0.20/0.44 stat_backward_subsumed: 0
% 0.20/0.44 stat_propagated_subsumed: 0
% 0.20/0.44 stat_clsubs_attempted: 78
% 0.20/0.44 stat_clsubs_fact_groundunit_found: 0
% 0.20/0.44 stat_clsubs_rule_groundunit_found: 1
% 0.20/0.44 stat_clsubs_top_meta_attempted: 942
% 0.20/0.44 stat_clsubs_top_meta_failed: 864
% 0.20/0.44 stat_clsubs_top_meta_nonpref_attempted: 942
% 0.20/0.44 stat_clsubs_top_meta_nonpref_succeeded: 150
% 0.20/0.44 stat_clsubs_top_meta_pref_attempted: 150
% 0.20/0.44 stat_clsubs_top_meta_pref1_succeeded: 150
% 0.20/0.44 stat_clsubs_top_meta_pref2_succeeded: 99
% 0.20/0.44 stat_clsubs_top_meta_pref3_succeeded: 78
% 0.20/0.44 stat_clsubs_top_meta_pref_succeeded: 78
% 0.20/0.44 stat_clsubs_meta_attempted: 78
% 0.20/0.44 stat_clsubs_meta_failed: 4
% 0.20/0.44 stat_clsubs_predsymbs_attempted: 0
% 0.20/0.44 stat_clsubs_unit_attempted: 78
% 0.20/0.44 stat_clsubs_full_attempted: 0
% 0.20/0.44 stat_forwardsubs_attempted: 2221
% 0.20/0.44 stat_lit_hash_added: 1964
% 0.20/0.44 stat_lit_hash_computed: 4233
% 0.20/0.44 stat_lit_hash_match_found: 262
% 0.20/0.44 stat_lit_hash_match_miss: 3977
% 0.20/0.44 stat_lit_hash_cut_ok: 0
% 0.20/0.44 stat_lit_strong_cut_ok: 0
% 0.20/0.44 stat_lit_hash_subsume_ok: 261
% 0.20/0.44 clqueue els 10000000 used 1
% 0.20/0.44 clactive els 10000000 used 45
% 0.20/0.44 clactivesubsume els 10000000 used 259
% 0.20/0.44 queue_termbuf els 200000000 used 151695
% 0.20/0.44 hyper_termbuf els 100000000 used 1
% 0.20/0.44 active_termbuf els 100000000 used 1902
% 0.20/0.44 varstack els 5000 last used 1
% 0.20/0.44 given_termbuf els 10000000 last used 28
% 0.20/0.44 simplified_termbuf els 10000000 last used 1
% 0.20/0.44 derived_termbuf els 10000000 last used 3
% 0.20/0.44 wr_mallocs: 7959
% 0.20/0.44 wr_callocs: 21
% 0.20/0.44 wr_reallocs: 188
% 0.20/0.44 wr_frees: 2
% 0.20/0.44 wr_malloc_bytes: 4162865172
% 0.20/0.44 wr_calloc_bytes: 112065536
% 0.20/0.44 wr_realloc_bytes: 40832
% 0.20/0.44 wr_realloc_freebytes: 0
% 0.20/0.44 ----------------------------------
%------------------------------------------------------------------------------