%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : GRP118-1 : TPTP v8.1.2. Released v1.2.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n024.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 00:52:26 EDT 2023
% Result : Unsatisfiable 0.21s 0.50s
% Output : CNFRefutation 0.21s
% Verified :
% SZS Type : ERROR: Analysing output (Could not find formula named single_axiom)
% Comments :
%------------------------------------------------------------------------------
cnf('1',plain,
multiply(X,multiply(multiply(X,multiply(multiply(X,Y),Z)),multiply(identity,multiply(Z,Z)))) = Y,
inference(cnf_transformation,[],[single_axiom]) ).
cnf('2',plain,
multiply(X,multiply(Y,multiply(identity,multiply(multiply(identity,multiply(Z,Z)),multiply(identity,multiply(Z,Z)))))) = multiply(multiply(X,Y),Z),
inference(paramodulation,[],['1','1']) ).
cnf('3',plain,
multiply(X,multiply(Y,Z)) = multiply(multiply(X,Y),multiply(identity,Z)),
inference(paramodulation,[],['1','2']) ).
cnf('4',plain,
multiply(X,multiply(X,multiply(multiply(multiply(X,Y),Z),multiply(Z,Z)))) = Y,
inference(paramodulation,[],['3','1']) ).
cnf('5',plain,
multiply(X3,multiply(X3,multiply(multiply(X3,Y3),multiply(identity,identity)))) = Y3,
inference(paramodulation,[],['3','4']) ).
cnf('6',plain,
multiply(X,multiply(X,multiply(X,multiply(Y,identity)))) = Y,
inference(simplify,[],['5','3']) ).
cnf('7',plain,
multiply(X,multiply(X,multiply(multiply(Y,Z),multiply(Z,Z)))) = multiply(X,multiply(X,multiply(Y,identity))),
inference(paramodulation,[],['6','4']) ).
cnf('8',plain,
multiply(multiply(X,identity),multiply(multiply(X,identity),multiply(X,identity))) = identity,
inference(paramodulation,[],['7','6']) ).
cnf('9',plain,
multiply(multiply(X,identity),identity) = X,
inference(paramodulation,[],['8','6']) ).
cnf('10',plain,
multiply(X,multiply(X,multiply(X,Y))) = multiply(Y,identity),
inference(paramodulation,[],['9','6']) ).
cnf('11',plain,
multiply(multiply(X3,X3),identity) = multiply(multiply(Y3,X3),multiply(multiply(Y3,X3),multiply(Y3,identity))),
inference(paramodulation,[],['10','7']) ).
cnf('12',plain,
multiply(X,multiply(identity,identity)) = X,
inference(paramodulation,[],['10','6']) ).
cnf('13',plain,
multiply(X,multiply(Y,identity)) = multiply(X,Y),
inference(paramodulation,[],['12','3']) ).
cnf('14',plain,
multiply(X,identity) = X,
inference(paramodulation,[],['13','12']) ).
cnf('15',plain,
multiply(X,X) = multiply(multiply(Y,X),multiply(multiply(Y,X),Y)),
inference(simplify,[then_simplify],['11','14','14']) ).
cnf('16',plain,
multiply(multiply(X3,Y3),multiply(Y3,Y3)) = multiply(X3,identity),
inference(paramodulation,[],['15','10']) ).
cnf('17',plain,
multiply(multiply(X,Y),multiply(Y,Y)) = X,
inference(simplify,[],['16','14']) ).
cnf('18',plain,
X3 = multiply(multiply(multiply(X3,Y3),Y3),multiply(identity,Y3)),
inference(paramodulation,[],['17','3']) ).
cnf('19',plain,
multiply(X,multiply(X,X)) = identity,
inference(paramodulation,[],['12','6']) ).
cnf('20',plain,
multiply(multiply(X,X),X) = identity,
inference(paramodulation,[],['17','19']) ).
cnf('21',plain,
multiply(X,multiply(multiply(X,X),Y)) = multiply(identity,multiply(identity,Y)),
inference(paramodulation,[],['19','3']) ).
cnf('22',plain,
multiply(X3,identity) = multiply(identity,multiply(identity,X3)),
inference(paramodulation,[],['20','21']) ).
cnf('23',plain,
X = multiply(identity,multiply(identity,X)),
inference(simplify,[],['22','14']) ).
cnf('24',plain,
multiply(identity,multiply(X3,identity)) = X3,
inference(paramodulation,[],['23','6']) ).
cnf('25',plain,
multiply(identity,X) = X,
inference(simplify,[],['24','14']) ).
cnf('26',plain,
X = multiply(multiply(multiply(X,Y),Y),Y),
inference(simplify,[],['18','25']) ).
cnf('27',plain,
multiply(X3,multiply(Y3,multiply(identity,multiply(multiply(identity,multiply(multiply(Z3,multiply(identity,multiply(multiply(identity,multiply(U3,U3)),multiply(identity,multiply(U3,U3))))),multiply(Z3,multiply(identity,multiply(multiply(identity,multiply(U3,U3)),multiply(identity,multiply(U3,U3))))))),multiply(identity,multiply(multiply(Z3,multiply(identity,multiply(multiply(identity,multiply(U3,U3)),multiply(identity,multiply(U3,U3))))),multiply(Z3,multiply(identity,multiply(multiply(identity,multiply(U3,U3)),multiply(identity,multiply(U3,U3))))))))))) = multiply(multiply(multiply(X3,Y3),Z3),U3),
inference(paramodulation,[],['2','2']) ).
cnf('28',plain,
multiply(multiply(X3,X3),multiply(X3,Y3)) = multiply(identity,multiply(identity,Y3)),
inference(paramodulation,[],['17','21']) ).
cnf('29',plain,
multiply(multiply(X,X),multiply(X,Y)) = Y,
inference(simplify,[then_simplify],['28','25','25']) ).
cnf('30',plain,
multiply(X,multiply(Y,multiply(Z,U))) = multiply(multiply(multiply(X,Y),Z),U),
inference(simplify,[then_simplify],['27','25','25','29','25','25','25','29','25','25','25','25','29','25','25','25','29','25','25','29','25']) ).
cnf('31',plain,
multiply(multiply(X,Y),multiply(Y,multiply(Y,Z))) = multiply(X,Z),
inference(paramodulation,[],['26','30']) ).
cnf('32',plain,
multiply(multiply(X3,Y3),multiply(Z3,identity)) = multiply(X3,multiply(Y3,Z3)),
inference(paramodulation,[],['10','31']) ).
cnf('33',plain,
multiply(multiply(X,Y),Z) = multiply(X,multiply(Y,Z)),
inference(simplify,[],['32','14']) ).
cnf('34',plain,
multiply(multiply(a,b),c) != multiply(a,multiply(b,c)),
inference(cnf_transformation,[],[prove_order3]) ).
cnf('35',plain,
$false,
inference(resolution,[],['33','34']) ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.07/0.12 % Problem : GRP118-1 : TPTP v8.1.2. Released v1.2.0.
% 0.07/0.13 % Command : gkc %s
% 0.14/0.35 % Computer : n024.cluster.edu
% 0.14/0.35 % Model : x86_64 x86_64
% 0.14/0.35 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.14/0.35 % Memory : 8042.1875MB
% 0.14/0.35 % OS : Linux 3.10.0-693.el7.x86_64
% 0.14/0.35 % CPULimit : 300
% 0.14/0.35 % WCLimit : 300
% 0.14/0.35 % DateTime : Mon Aug 28 20:21:08 EDT 2023
% 0.14/0.35 % CPUTime :
% 0.14/0.40
% 0.14/0.40 input clause set summed statistics:
% 0.14/0.40 ----------------------------------
% 0.14/0.40 in_clause_count: 2
% 0.14/0.40 in_rule_clause_count: 2
% 0.14/0.40 in_fact_clause_count: 0
% 0.14/0.40 in_answer_clause_count: 0
% 0.14/0.40 in_ground_clause_count: 1
% 0.14/0.40 in_unit_clause_count: 2
% 0.14/0.40 in_horn_clause_count: 2
% 0.14/0.40 in_pos_clause_count: 1
% 0.14/0.40 in_neg_clause_count: 1
% 0.14/0.40 in_poseq_clause_count: 1
% 0.14/0.40 in_negeq_clause_count: 1
% 0.14/0.40 in_unitposeq_clause_count: 1
% 0.14/0.40 in_chain_clause_count: 0
% 0.14/0.40 in_min_length: 1
% 0.14/0.40 in_max_length: 1
% 0.14/0.40 in_min_depth: 3
% 0.14/0.40 in_max_depth: 6
% 0.14/0.40 in_min_size: 11
% 0.14/0.40 in_max_size: 17
% 0.14/0.40 in_min_vars: 0
% 0.14/0.40 in_max_vars: 3
% 0.14/0.40 in_extaxiom_count: 0
% 0.14/0.40 in_axiom_count: 1
% 0.14/0.40 in_assumption_count: 0
% 0.14/0.40 in_goal_count: 1
% 0.14/0.40 in_neg_goal_count: 1
% 0.14/0.40 in_pos_goal_count: 0
% 0.14/0.40 in_posunit_goal_count: 0
% 0.14/0.40
% 0.14/0.40 auto guide:
% 0.14/0.40 -----------
% 0.14/0.40 {
% 0.14/0.40 "print":1,
% 0.14/0.40 "print_level": 15,
% 0.14/0.40 "max_size": 0,
% 0.14/0.40 "max_depth": 0,
% 0.14/0.40 "max_length": 0,
% 0.14/0.40 "max_dseconds": 0,
% 0.14/0.40 "runs":[
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.14/0.40 {"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},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.14/0.40 {"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},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.14/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0},
% 0.21/0.40 {"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},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.21/0.40 {"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},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "rewrite":0},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20, "rewrite":0},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":2},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 0},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 1},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 2},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "reverse_clauselist": 1},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 2},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 4},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 6},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 8},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 10},
% 0.21/0.40 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":10},
% 0.21/0.40 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":15},
% 0.21/0.40 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":20},
% 0.21/0.40 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":20, "weight_select_ratio":2},
% 0.21/0.40 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.21/0.40 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.21/0.40 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.21/0.40 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.21/0.40 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.21/0.40 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.21/0.40 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.21/0.40 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
% 0.21/0.40 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.21/0.40 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.21/0.40 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.21/0.40 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4},
% 0.21/0.40
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.21/0.40 {"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},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 1},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 0},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.21/0.40 {"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},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1},
% 0.21/0.40 {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0},
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% 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":0,"weight_select_ratio":20}
% 0.21/0.40 {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20}
% 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}
% 0.21/0.50
% 0.21/0.50
% 0.21/0.50 result: proof found
% 0.21/0.50 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.21/0.50 by run 4 fork 3 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20,"depth_penalty":100}
% 0.21/0.50 % SZS status Unsatisfiable for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.21/0.50
% 0.21/0.50 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% See solution above
% 0.21/0.50
% 0.21/0.50 run 4 fork 3 statistics:
% 0.21/0.50 ----------------------------------
% 0.21/0.50 this run seconds: 0.041632
% 0.21/0.50 total seconds: 0.068581
% 0.21/0.50 stat_given_used: 34
% 0.21/0.50 stat_given_used_at_endgame: 0
% 0.21/0.50 stat_given_candidates: 220
% 0.21/0.50 stat_given_candidates_at_endgame: 0
% 0.21/0.50 stat_given_candidates_h: 0
% 0.21/0.50 stat_binres_derived_cl: 1
% 0.21/0.50 stat_binres_derived_cl_h: 0
% 0.21/0.50 stat_factor_derived_cl: 0
% 0.21/0.50 stat_para_derived_cl: 3112
% 0.21/0.50 stat_tautologies_discarded: 0
% 0.21/0.50 stat_forward_subsumed: 441
% 0.21/0.50 stat_derived_cut: 0
% 0.21/0.50 stat_derived_rewritten: 15
% 0.21/0.50 stat_weight_discarded_building: 0
% 0.21/0.50 stat_weight_discarded_cl: 0
% 0.21/0.50 stat_internlimit_discarded_cl: 0
% 0.21/0.50 stat_simplified: 15 simplified 0 derived 0 given
% 0.21/0.50 stat_kept_cl: 2554
% 0.21/0.50 stat_built_cl: 2637
% 0.21/0.50 stat_hyperres_partial_cl: 0
% 0.21/0.50 stat_made_rewriters: 28
% 0.21/0.50 stat_backward_subsumed: 0
% 0.21/0.50 stat_propagated_subsumed: 0
% 0.21/0.50 stat_clsubs_attempted: 148
% 0.21/0.50 stat_clsubs_fact_groundunit_found: 0
% 0.21/0.50 stat_clsubs_rule_groundunit_found: 1
% 0.21/0.50 stat_clsubs_top_meta_attempted: 528
% 0.21/0.50 stat_clsubs_top_meta_failed: 380
% 0.21/0.50 stat_clsubs_top_meta_nonpref_attempted: 528
% 0.21/0.50 stat_clsubs_top_meta_nonpref_succeeded: 156
% 0.21/0.50 stat_clsubs_top_meta_pref_attempted: 156
% 0.21/0.50 stat_clsubs_top_meta_pref1_succeeded: 156
% 0.21/0.50 stat_clsubs_top_meta_pref2_succeeded: 156
% 0.21/0.50 stat_clsubs_top_meta_pref3_succeeded: 148
% 0.21/0.50 stat_clsubs_top_meta_pref_succeeded: 148
% 0.21/0.50 stat_clsubs_meta_attempted: 148
% 0.21/0.50 stat_clsubs_meta_failed: 0
% 0.21/0.50 stat_clsubs_predsymbs_attempted: 0
% 0.21/0.50 stat_clsubs_unit_attempted: 148
% 0.21/0.50 stat_clsubs_full_attempted: 0
% 0.21/0.50 stat_forwardsubs_attempted: 2995
% 0.21/0.50 stat_lit_hash_added: 2557
% 0.21/0.50 stat_lit_hash_computed: 5592
% 0.21/0.50 stat_lit_hash_match_found: 445
% 0.21/0.50 stat_lit_hash_match_miss: 5159
% 0.21/0.50 stat_lit_hash_cut_ok: 0
% 0.21/0.50 stat_lit_strong_cut_ok: 0
% 0.21/0.50 stat_lit_hash_subsume_ok: 441
% 0.21/0.50 clqueue els 10000000 used 1
% 0.21/0.50 clactive els 10000000 used 35
% 0.21/0.50 clactivesubsume els 10000000 used 199
% 0.21/0.50 queue_termbuf els 200000000 used 297543
% 0.21/0.50 hyper_termbuf els 100000000 used 1
% 0.21/0.50 active_termbuf els 100000000 used 1595
% 0.21/0.50 varstack els 5000 last used 1
% 0.21/0.50 given_termbuf els 10000000 last used 42
% 0.21/0.50 simplified_termbuf els 10000000 last used 1
% 0.21/0.50 derived_termbuf els 10000000 last used 3
% 0.21/0.50 wr_mallocs: 9345
% 0.21/0.50 wr_callocs: 21
% 0.21/0.50 wr_reallocs: 346
% 0.21/0.50 wr_frees: 2
% 0.21/0.50 wr_malloc_bytes: 4162929028
% 0.21/0.50 wr_calloc_bytes: 112065536
% 0.21/0.50 wr_realloc_bytes: 35400
% 0.21/0.50 wr_realloc_freebytes: 0
% 0.21/0.50 ----------------------------------
%------------------------------------------------------------------------------