TSTP Solution File: GRP583-1 by GKC---0.8

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : GKC---0.8
% Problem  : GRP583-1 : TPTP v8.1.2. Released v2.6.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : gkc %s

% Computer : n014.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 00:54:52 EDT 2023

% Result   : Unsatisfiable 0.19s 0.72s
% Output   : CNFRefutation 0.19s
% 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(identity,multiply(X3,identity)),identity) = X3,
    inference(paramodulation,[],['12','10']) ).

cnf('14',plain,
    multiply(multiply(X,identity),identity) = X,
    inference(simplify,[then_simplify],['13','2','3']) ).

cnf('15',plain,
    identity = double_divide(double_divide(X,Y),multiply(Y,X)),
    inference(paramodulation,[],['3','4']) ).

cnf('16',plain,
    identity = double_divide(double_divide(identity,multiply(X,identity)),X),
    inference(paramodulation,[],['14','15']) ).

cnf('17',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('18',plain,
    multiply(double_divide(double_divide(identity,X),inverse(Y)),inverse(X)) = Y,
    inference(simplify,[then_simplify],['17','2','12','2','3']) ).

cnf('19',plain,
    multiply(identity,inverse(multiply(inverse(X3),identity))) = X3,
    inference(paramodulation,[],['16','18']) ).

cnf('20',plain,
    double_divide(double_divide(inverse(X),double_divide(double_divide(identity,X),inverse(Y))),inverse(identity)) = Y,
    inference(simplify,[],['17','2']) ).

cnf('21',plain,
    double_divide(double_divide(inverse(X3),identity),inverse(identity)) = double_divide(identity,X3),
    inference(paramodulation,[],['4','20']) ).

cnf('22',plain,
    double_divide(inverse(inverse(X)),inverse(identity)) = double_divide(identity,X),
    inference(simplify,[],['21','2']) ).

cnf('23',plain,
    multiply(inverse(identity),inverse(inverse(X3))) = inverse(double_divide(identity,X3)),
    inference(paramodulation,[],['22','3']) ).

cnf('24',plain,
    multiply(inverse(identity),inverse(inverse(X))) = multiply(X,identity),
    inference(simplify,[],['23','3']) ).

cnf('25',plain,
    multiply(identity,inverse(inverse(X3))) = multiply(X3,identity),
    inference(paramodulation,[],['12','24']) ).

cnf('26',plain,
    multiply(identity,X) = inverse(inverse(X)),
    inference(paramodulation,[],['2','3']) ).

cnf('27',plain,
    inverse(inverse(inverse(inverse(X)))) = multiply(X,identity),
    inference(simplify,[],['25','26']) ).

cnf('28',plain,
    inverse(multiply(X,identity)) = multiply(inverse(X),identity),
    inference(paramodulation,[],['27','27']) ).

cnf('29',plain,
    double_divide(inverse(inverse(X3)),identity) = double_divide(identity,X3),
    inference(paramodulation,[],['12','22']) ).

cnf('30',plain,
    inverse(inverse(inverse(X))) = double_divide(identity,X),
    inference(simplify,[],['29','2']) ).

cnf('31',plain,
    double_divide(identity,inverse(X)) = multiply(X,identity),
    inference(paramodulation,[],['30','27']) ).

cnf('32',plain,
    double_divide(identity,multiply(X,Y)) = multiply(double_divide(Y,X),identity),
    inference(paramodulation,[],['3','31']) ).

cnf('33',plain,
    inverse(multiply(double_divide(identity,X),identity)) = X,
    inference(simplify,[then_simplify],['19','28','26','30','32']) ).

cnf('34',plain,
    double_divide(double_divide(inverse(multiply(X,identity)),X),inverse(identity)) = identity,
    inference(paramodulation,[],['10','20']) ).

cnf('35',plain,
    double_divide(double_divide(inverse(multiply(X3,identity)),X3),identity) = identity,
    inference(paramodulation,[],['12','34']) ).

cnf('36',plain,
    multiply(X,inverse(multiply(X,identity))) = identity,
    inference(simplify,[then_simplify],['35','2','3']) ).

cnf('37',plain,
    multiply(double_divide(identity,X),X) = identity,
    inference(paramodulation,[],['33','36']) ).

cnf('38',plain,
    double_divide(double_divide(X3,double_divide(identity,double_divide(Y3,double_divide(inverse(identity),X3)))),inverse(identity)) = Y3,
    inference(paramodulation,[],['4','7']) ).

cnf('39',plain,
    inverse(inverse(multiply(X,Y))) = double_divide(identity,double_divide(Y,X)),
    inference(paramodulation,[],['3','30']) ).

cnf('40',plain,
    multiply(inverse(inverse(multiply(double_divide(identity,X),Y))),X) = Y,
    inference(simplify,[then_simplify],['38','12','39','12','2','3']) ).

cnf('41',plain,
    multiply(inverse(inverse(identity)),X3) = X3,
    inference(paramodulation,[],['37','40']) ).

cnf('42',plain,
    inverse(inverse(X)) = X,
    inference(simplify,[then_simplify],['41','12','12','26']) ).

cnf('43',plain,
    multiply(multiply(double_divide(identity,X3),Y3),X3) = Y3,
    inference(paramodulation,[],['42','40']) ).

cnf('44',plain,
    inverse(X) = double_divide(identity,X),
    inference(paramodulation,[],['42','30']) ).

cnf('45',plain,
    multiply(multiply(inverse(X),Y),X) = Y,
    inference(simplify,[],['43','44']) ).

cnf('46',plain,
    double_divide(double_divide(X,double_divide(identity,double_divide(Y,double_divide(inverse(identity),X)))),inverse(identity)) = Y,
    inference(paramodulation,[],['4','7']) ).

cnf('47',plain,
    double_divide(double_divide(inverse(identity),double_divide(double_divide(identity,double_divide(X3,double_divide(identity,double_divide(Y3,double_divide(inverse(identity),X3))))),double_divide(Z3,Y3))),inverse(identity)) = Z3,
    inference(paramodulation,[],['46','7']) ).

cnf('48',plain,
    inverse(multiply(double_divide(X,Y),multiply(multiply(inverse(Z),Y),Z))) = X,
    inference(simplify,[then_simplify],['47','12','12','44','44','3','44','3','44','3','12','2']) ).

cnf('49',plain,
    inverse(multiply(double_divide(X3,Y3),Y3)) = X3,
    inference(paramodulation,[],['45','48']) ).

cnf('50',plain,
    inverse(multiply(X,Y)) = double_divide(Y,X),
    inference(paramodulation,[],['3','42']) ).

cnf('51',plain,
    double_divide(X,double_divide(Y,X)) = Y,
    inference(simplify,[],['49','50']) ).

cnf('52',plain,
    multiply(double_divide(X,Y),Y) = inverse(X),
    inference(paramodulation,[],['51','3']) ).

cnf('53',plain,
    multiply(multiply(X,Y),inverse(X)) = Y,
    inference(paramodulation,[],['42','45']) ).

cnf('54',plain,
    multiply(inverse(X3),inverse(double_divide(X3,Y3))) = Y3,
    inference(paramodulation,[],['52','53']) ).

cnf('55',plain,
    multiply(inverse(X),multiply(Y,X)) = Y,
    inference(simplify,[],['54','3']) ).

cnf('56',plain,
    multiply(X,multiply(Y,inverse(X))) = Y,
    inference(paramodulation,[],['42','55']) ).

cnf('57',plain,
    double_divide(double_divide(X,Y),X) = Y,
    inference(paramodulation,[],['51','51']) ).

cnf('58',plain,
    inverse(X) = double_divide(inverse(Y),multiply(Y,X)),
    inference(paramodulation,[],['53','50']) ).

cnf('59',plain,
    double_divide(double_divide(inverse(X3),double_divide(double_divide(identity,X3),multiply(Y3,Z3))),inverse(identity)) = double_divide(Z3,Y3),
    inference(paramodulation,[],['3','20']) ).

cnf('60',plain,
    multiply(double_divide(inverse(X),multiply(Y,Z)),inverse(X)) = double_divide(Z,Y),
    inference(simplify,[then_simplify],['59','44','12','2','3']) ).

cnf('61',plain,
    multiply(inverse(X3),inverse(Y3)) = double_divide(X3,Y3),
    inference(paramodulation,[],['58','60']) ).

cnf('62',plain,
    multiply(X,double_divide(X,Y)) = inverse(Y),
    inference(paramodulation,[],['57','3']) ).

cnf('63',plain,
    multiply(inverse(X),inverse(Y)) = double_divide(Y,X),
    inference(paramodulation,[],['62','53']) ).

cnf('64',plain,
    double_divide(X,Y) = double_divide(Y,X),
    inference(simplify,[],['61','63']) ).

cnf('65',plain,
    X = double_divide(Y,double_divide(Y,X)),
    inference(paramodulation,[],['57','64']) ).

cnf('66',plain,
    multiply(X3,Y3) = inverse(double_divide(X3,Y3)),
    inference(paramodulation,[],['65','62']) ).

cnf('67',plain,
    multiply(X,Y) = multiply(Y,X),
    inference(simplify,[],['66','3']) ).

cnf('68',plain,
    X = multiply(multiply(X,inverse(Y)),Y),
    inference(paramodulation,[],['56','67']) ).

cnf('69',plain,
    X = multiply(multiply(X,multiply(Y,Z)),double_divide(Z,Y)),
    inference(paramodulation,[],['3','68']) ).

cnf('70',plain,
    X = multiply(inverse(Y),multiply(Y,X)),
    inference(paramodulation,[],['53','67']) ).

cnf('71',plain,
    double_divide(double_divide(X3,double_divide(multiply(Y3,identity),double_divide(Z3,double_divide(inverse(Y3),X3)))),inverse(identity)) = Z3,
    inference(paramodulation,[],['31','7']) ).

cnf('72',plain,
    inverse(inverse(X3)) = multiply(X3,identity),
    inference(paramodulation,[],['42','27']) ).

cnf('73',plain,
    X = multiply(X,identity),
    inference(simplify,[],['72','42']) ).

cnf('74',plain,
    multiply(inverse(X),Y) = double_divide(inverse(Y),X),
    inference(paramodulation,[],['62','45']) ).

cnf('75',plain,
    multiply(double_divide(X,double_divide(Y,multiply(inverse(Z),X))),Z) = Y,
    inference(simplify,[then_simplify],['71','73','74','12','2','3']) ).

cnf('76',plain,
    multiply(double_divide(multiply(X,Y),double_divide(Z,Y)),X) = Z,
    inference(paramodulation,[],['70','75']) ).

cnf('77',plain,
    multiply(multiply(double_divide(X,Y),Z),multiply(Y,X)) = Z,
    inference(paramodulation,[],['50','45']) ).

cnf('78',plain,
    multiply(X,multiply(double_divide(X,Y),multiply(Z,Y))) = Z,
    inference(paramodulation,[],['76','77']) ).

cnf('79',plain,
    multiply(multiply(multiply(X,double_divide(Y,Z)),Z),Y) = X,
    inference(paramodulation,[],['76','78']) ).

cnf('80',plain,
    multiply(multiply(a3,b3),c3) != multiply(a3,multiply(b3,c3)),
    inference(cnf_transformation,[],[prove_these_axioms_3]) ).

cnf('81',plain,
    $false,
    inference(paramodulation,[then_simplify],['69','79','80']) ).


%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12  % Problem  : GRP583-1 : TPTP v8.1.2. Released v2.6.0.
% 0.00/0.12  % Command  : gkc %s
% 0.12/0.33  % Computer : n014.cluster.edu
% 0.12/0.33  % Model    : x86_64 x86_64
% 0.12/0.33  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.12/0.33  % Memory   : 8042.1875MB
% 0.12/0.33  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.12/0.33  % CPULimit : 300
% 0.12/0.34  % WCLimit  : 300
% 0.12/0.34  % DateTime : Mon Aug 28 23:01:00 EDT 2023
% 0.18/0.34  % CPUTime  : 
% 0.18/0.38  
% 0.18/0.38  input clause set summed statistics:
% 0.18/0.38  ----------------------------------
% 0.18/0.38  in_clause_count:                     5
% 0.18/0.38  in_rule_clause_count:                5
% 0.18/0.38  in_fact_clause_count:                0
% 0.18/0.38  in_answer_clause_count:              0
% 0.18/0.38  in_ground_clause_count:              1
% 0.18/0.38  in_unit_clause_count:                5
% 0.18/0.38  in_horn_clause_count:                5
% 0.18/0.38  in_pos_clause_count:                 4
% 0.18/0.38  in_neg_clause_count:                 1
% 0.18/0.38  in_poseq_clause_count:               4
% 0.18/0.38  in_negeq_clause_count:               1
% 0.18/0.38  in_unitposeq_clause_count:           4
% 0.18/0.38  in_chain_clause_count:               0
% 0.18/0.38  in_min_length:             1
% 0.18/0.38  in_max_length:             1
% 0.18/0.38  in_min_depth:              2
% 0.18/0.38  in_max_depth:              6
% 0.18/0.38  in_min_size:               6
% 0.18/0.38  in_max_size:              17
% 0.18/0.38  in_min_vars:               0
% 0.18/0.38  in_max_vars:               3
% 0.18/0.38  in_extaxiom_count:                 0
% 0.18/0.38  in_axiom_count:                    4
% 0.18/0.38  in_assumption_count:               0
% 0.18/0.38  in_goal_count:                     1
% 0.18/0.38  in_neg_goal_count:                 1
% 0.18/0.38  in_pos_goal_count:                 0
% 0.18/0.38  in_posunit_goal_count:             0
% 0.18/0.38  
% 0.18/0.38  auto guide:
% 0.18/0.38  -----------
% 0.18/0.38  {
% 0.18/0.38  "print":1,
% 0.18/0.38  "print_level": 15,
% 0.18/0.38  "max_size": 0,
% 0.18/0.38  "max_depth": 0,
% 0.18/0.38  "max_length": 0,
% 0.18/0.38  "max_dseconds": 0,
% 0.18/0.38  "runs":[
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.18/0.38  {"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},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.18/0.38  {"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},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0},
% 0.18/0.38  {"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},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.18/0.38  {"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},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "rewrite":0},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20, "rewrite":0},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":2},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.18/0.38  {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 0},
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% 0.18/0.38  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.18/0.38  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.18/0.38  {"max_dseconds": 250, "strategy":["query_focus"], "query_preference": 0},
% 0.18/0.38  {"max_dseconds": 250, "strategy":["query_focus"], "query_preference": 1},
% 0.18/0.38  {"max_dseconds": 250, "strategy":["query_focus"], "query_preference": 2},
% 0.18/0.38  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "reverse_clauselist": 1},
% 0.18/0.38  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "max_depth": 2},
% 0.18/0.38  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "max_depth": 4},
% 0.18/0.38  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "max_depth": 6},
% 0.18/0.38  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "max_depth": 8},
% 0.18/0.38  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "max_depth": 10},
% 0.18/0.38  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":10},
% 0.18/0.38  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":15},
% 0.18/0.38  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":20},
% 0.18/0.38  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":20, "weight_select_ratio":2},
% 0.18/0.38  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.18/0.38  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.18/0.38  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.18/0.38  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.18/0.38  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.18/0.38  {"max_dseconds": 250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.18/0.38  {"max_dseconds": 250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.18/0.38  {"max_dseconds": 250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
% 0.18/0.38  {"max_dseconds": 250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.18/0.38  {"max_dseconds": 250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.18/0.38  {"max_dseconds": 250,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.18/0.38  {"max_dseconds": 250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4},
% 0.18/0.38  
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "rewrite":0},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20, "rewrite":0},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":2},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 0},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 1},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 2},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "reverse_clauselist": 1},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 2},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 4},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 6},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 8},
% 0.18/0.38  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 10},
% 0.18/0.38  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":10},
% 0.18/0.38  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":15},
% 0.18/0.38  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":20},
% 0.18/0.38  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":20, "weight_select_ratio":2},
% 0.18/0.38  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.18/0.38  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.18/0.38  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.18/0.38  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.18/0.38  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.18/0.38  {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.18/0.38  {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.18/0.38  {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
% 0.18/0.38  {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.18/0.38  {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.18/0.38  {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.18/0.38  {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4} 
% 0.18/0.38  
% 0.18/0.38  ]}
% 0.18/0.38  
% 0.18/0.38  
% 0.18/0.38  **** run 1 fork 0 starts with strategy
% 0.18/0.38  {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.18/0.38  
% 0.18/0.38  **** run 2 fork 1 starts with strategy
% 0.18/0.38  {"max_dseconds":1,"strategy":["unit"],"query_preference":0}
% 0.18/0.38  
% 0.18/0.38  **** run 3 fork 2 starts with strategy
% 0.18/0.38  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.18/0.38  
% 0.18/0.38  **** run 4 fork 3 starts with strategy
% 0.18/0.38  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20,"depth_penalty":100}
% 0.18/0.38  
% 0.18/0.38  **** run 5 fork 4 starts with strategy
% 0.18/0.38  
% 0.18/0.38  **** run 6 fork 5 starts with strategy
% 0.18/0.38  {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20}
% 0.18/0.38  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":20,"repeat_var_weight":1,"depth_penalty":100}
% 0.18/0.38  
% 0.18/0.38  **** run 7 fork 6 starts with strategy
% 0.18/0.38  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20}
% 0.19/0.40  
% 0.19/0.40  **** run 8 fork 7 starts with strategy
% 0.19/0.40  {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20,"depth_penalty":50}
% 0.19/0.50  
% 0.19/0.50  
% 0.19/0.50  fork 0: search terminated without proof.
% 0.19/0.50  
% 0.19/0.50  
% 0.19/0.50  fork 1: search terminated without proof.
% 0.19/0.50  
% 0.19/0.50  
% 0.19/0.50  fork 4: search terminated without proof.
% 0.19/0.52  
% 0.19/0.52  
% 0.19/0.52  fork 3: search terminated without proof.
% 0.19/0.52  
% 0.19/0.52  
% 0.19/0.52  fork 7: search terminated without proof.
% 0.19/0.52  
% 0.19/0.52  **** run 10 fork 1 starts with strategy
% 0.19/0.52  {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":1}
% 0.19/0.53  
% 0.19/0.53  **** run 9 fork 0 starts with strategy
% 0.19/0.53  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20,"depth_penalty":50}
% 0.19/0.53  
% 0.19/0.53  **** run 13 fork 4 starts with strategy
% 0.19/0.53  {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":0,"weight_select_ratio":20,"depth_penalty":100}
% 0.19/0.54  
% 0.19/0.54  **** run 12 fork 3 starts with strategy
% 0.19/0.54  {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":0,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.19/0.54  
% 0.19/0.54  **** run 16 fork 7 starts with strategy
% 0.19/0.54  {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":0,"weight_select_ratio":20}
% 0.19/0.64  
% 0.19/0.64  
% 0.19/0.64  fork 0: search terminated without proof.
% 0.19/0.66  
% 0.19/0.66  **** run 17 fork 0 starts with strategy
% 0.19/0.66  {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":1,"weight_select_ratio":20,"depth_penalty":50}
% 0.19/0.72  
% 0.19/0.72  
% 0.19/0.72  result: proof found
% 0.19/0.72  for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% 0.19/0.72  by run 10 fork 1 strategy {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":1}
% 0.19/0.72  % SZS status Unsatisfiable for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% 0.19/0.72  
% 0.19/0.72  % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% See solution above
% 0.19/0.72  
% 0.19/0.72  run 10 fork 1 statistics:
% 0.19/0.72  ----------------------------------
% 0.19/0.72  this run seconds: 0.067118
% 0.19/0.72  total seconds: 0.222633
% 0.19/0.72  stat_given_used: 133
% 0.19/0.72  stat_given_used_at_endgame: 0
% 0.19/0.72  stat_given_candidates:   1830
% 0.19/0.72  stat_given_candidates_at_endgame: 0
% 0.19/0.72  stat_given_candidates_h: 0
% 0.19/0.72  stat_binres_derived_cl:   0
% 0.19/0.72  stat_binres_derived_cl_h: 0
% 0.19/0.72  stat_factor_derived_cl: 0
% 0.19/0.72  stat_para_derived_cl: 11100
% 0.19/0.72  stat_tautologies_discarded: 0
% 0.19/0.72  stat_forward_subsumed: 1588
% 0.19/0.72  stat_derived_cut: 1
% 0.19/0.72  stat_derived_rewritten: 67
% 0.19/0.72  stat_weight_discarded_building: 0
% 0.19/0.72  stat_weight_discarded_cl: 1012
% 0.19/0.72  stat_internlimit_discarded_cl: 0
% 0.19/0.72  stat_simplified:  67 simplified 0 derived 0 given
% 0.19/0.72  stat_kept_cl: 8124
% 0.19/0.72  stat_built_cl: 9469
% 0.19/0.72  stat_hyperres_partial_cl: 0
% 0.19/0.72  stat_made_rewriters: 130
% 0.19/0.72  stat_backward_subsumed: 0
% 0.19/0.72  stat_propagated_subsumed: 0
% 0.19/0.72  stat_clsubs_attempted:                      1148
% 0.19/0.72  stat_clsubs_fact_groundunit_found:             0
% 0.19/0.72  stat_clsubs_rule_groundunit_found:             1
% 0.19/0.72  stat_clsubs_top_meta_attempted:              10416
% 0.19/0.72  stat_clsubs_top_meta_failed:                  9268
% 0.19/0.72  stat_clsubs_top_meta_nonpref_attempted:               10416
% 0.19/0.72  stat_clsubs_top_meta_nonpref_succeeded:                2885
% 0.19/0.72  stat_clsubs_top_meta_pref_attempted:                   2885
% 0.19/0.72  stat_clsubs_top_meta_pref1_succeeded:                  2885
% 0.19/0.72  stat_clsubs_top_meta_pref2_succeeded:                  1489
% 0.19/0.72  stat_clsubs_top_meta_pref3_succeeded:                  1148
% 0.19/0.72  stat_clsubs_top_meta_pref_succeeded:                   1148
% 0.19/0.72  stat_clsubs_meta_attempted:                 1148
% 0.19/0.72  stat_clsubs_meta_failed:                      34
% 0.19/0.72  stat_clsubs_predsymbs_attempted:               0
% 0.19/0.72  stat_clsubs_unit_attempted:                 1148
% 0.19/0.72  stat_clsubs_full_attempted:                    0
% 0.19/0.72  stat_forwardsubs_attempted:                10725
% 0.19/0.72  stat_lit_hash_added:                   8132
% 0.19/0.72  stat_lit_hash_computed:               19069
% 0.19/0.72  stat_lit_hash_match_found:             1638
% 0.19/0.72  stat_lit_hash_match_miss:             18503
% 0.19/0.72  stat_lit_hash_cut_ok:                     0
% 0.19/0.72  stat_lit_strong_cut_ok:                   1
% 0.19/0.72  stat_lit_hash_subsume_ok:              1588
% 0.19/0.72  clqueue els 10000000 used 1
% 0.19/0.72  clactive els 10000000 used 134
% 0.19/0.72  clactivesubsume els 10000000 used 781
% 0.19/0.72  queue_termbuf els 200000000 used 548649
% 0.19/0.72  hyper_termbuf els 100000000 used 1
% 0.19/0.72  active_termbuf els 100000000 used 5367
% 0.19/0.72  varstack els 5000 last used 1
% 0.19/0.72  given_termbuf els 10000000 last used 1
% 0.19/0.72  simplified_termbuf els 10000000 last used 1
% 0.19/0.72  derived_termbuf els 10000000 last used 10
% 0.19/0.72  wr_mallocs: 29375
% 0.19/0.72  wr_callocs: 21
% 0.19/0.72  wr_reallocs: 1221
% 0.19/0.72  wr_frees: 2
% 0.19/0.72  wr_malloc_bytes: 4163630340
% 0.19/0.72  wr_calloc_bytes: 112065536
% 0.19/0.72  wr_realloc_bytes: 271576
% 0.19/0.72  wr_realloc_freebytes: 0
% 0.19/0.72  ----------------------------------
%------------------------------------------------------------------------------