TSTP Solution File: TOP053-1 by GKC---0.8

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : GKC---0.8
% Problem  : TOP053-1 : TPTP v8.1.2. Released v8.1.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : gkc %s

% Computer : n002.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 : Fri Sep  1 05:57:10 EDT 2023

% Result   : Unsatisfiable 0.21s 0.55s
% Output   : CNFRefutation 0.21s
% Verified : 
% SZS Type : ERROR: Analysing output (Could not find formula named knot_16)

% Comments : 
%------------------------------------------------------------------------------
cnf('1',plain,
    product(a11,a10) = a1,
    inference(cnf_transformation,[],[knot_16]) ).

cnf('2',plain,
    product(product(X,Y),Y) = X,
    inference(cnf_transformation,[],[involutory_quandle_01]) ).

cnf('3',plain,
    product(a1,a10) = a11,
    inference(paramodulation,[],['1','2']) ).

cnf('4',plain,
    product(a1,a2) = a3,
    inference(cnf_transformation,[],[knot]) ).

cnf('5',plain,
    product(product(X,Y),Z) = product(product(X,Z),product(Y,Z)),
    inference(cnf_transformation,[],[involutory_quandle_02]) ).

cnf('6',plain,
    product(product(a1,X),a2) = product(a3,product(X,a2)),
    inference(paramodulation,[],['4','5']) ).

cnf('7',plain,
    product(a11,a2) = product(a3,product(a10,a2)),
    inference(paramodulation,[],['3','6']) ).

cnf('8',plain,
    product(a9,a1) = a10,
    inference(cnf_transformation,[],[knot_07]) ).

cnf('9',plain,
    product(a8,a2) = a9,
    inference(cnf_transformation,[],[knot_06]) ).

cnf('10',plain,
    product(a9,a2) = a8,
    inference(paramodulation,[],['9','2']) ).

cnf('11',plain,
    product(product(a9,X),a2) = product(a8,product(X,a2)),
    inference(paramodulation,[],['10','5']) ).

cnf('12',plain,
    product(a10,a2) = product(a8,product(a1,a2)),
    inference(paramodulation,[],['8','11']) ).

cnf('13',plain,
    product(a7,a3) = a8,
    inference(cnf_transformation,[],[knot_05]) ).

cnf('14',plain,
    product(a8,a3) = a7,
    inference(paramodulation,[],['13','2']) ).

cnf('15',plain,
    product(a10,a2) = a7,
    inference(simplify,[then_simplify],['12','4','14']) ).

cnf('16',plain,
    product(a11,a2) = product(a3,a7),
    inference(simplify,[],['7','15']) ).

cnf('17',plain,
    product(a15,a8) = a4,
    inference(cnf_transformation,[],[knot_14]) ).

cnf('18',plain,
    product(a14,a3) = a15,
    inference(cnf_transformation,[],[knot_13]) ).

cnf('19',plain,
    product(a15,a3) = a14,
    inference(paramodulation,[],['18','2']) ).

cnf('20',plain,
    product(product(a15,X),a3) = product(a14,product(X,a3)),
    inference(paramodulation,[],['19','5']) ).

cnf('21',plain,
    product(a4,a3) = product(a14,product(a8,a3)),
    inference(paramodulation,[],['17','20']) ).

cnf('22',plain,
    product(a4,a3) = product(a14,a7),
    inference(simplify,[],['21','14']) ).

cnf('23',plain,
    product(product(a14,a7),a3) = a4,
    inference(paramodulation,[],['22','2']) ).

cnf('24',plain,
    product(product(product(X,Y),Z),Y) = product(X,product(Z,Y)),
    inference(paramodulation,[],['2','5']) ).

cnf('25',plain,
    product(a4,a7) = product(a14,product(a3,a7)),
    inference(paramodulation,[],['23','24']) ).

cnf('26',plain,
    product(a4,a7) = a11,
    inference(cnf_transformation,[],[knot_15]) ).

cnf('27',plain,
    a11 = product(a14,product(a3,a7)),
    inference(simplify,[],['25','26']) ).

cnf('28',plain,
    a11 = product(a14,product(a11,a2)),
    inference(paramodulation,[],['16','27']) ).

cnf('29',plain,
    product(product(product(a14,a2),a11),a2) = a11,
    inference(paramodulation,[],['28','24']) ).

cnf('30',plain,
    product(product(a11,a2),a7) = a3,
    inference(paramodulation,[],['16','2']) ).

cnf('31',plain,
    product(a11,a7) = a4,
    inference(paramodulation,[],['26','2']) ).

cnf('32',plain,
    product(product(a11,X),a7) = product(a4,product(X,a7)),
    inference(paramodulation,[],['31','5']) ).

cnf('33',plain,
    product(a6,a7) = a2,
    inference(cnf_transformation,[],[knot_11]) ).

cnf('34',plain,
    product(a2,a7) = a6,
    inference(paramodulation,[],['33','2']) ).

cnf('35',plain,
    product(a4,a6) = a3,
    inference(simplify,[then_simplify],['30','32','34']) ).

cnf('36',plain,
    product(a3,a4) = a5,
    inference(cnf_transformation,[],[knot_03]) ).

cnf('37',plain,
    product(a5,a4) = a3,
    inference(paramodulation,[],['36','2']) ).

cnf('38',plain,
    product(a5,a6) = a7,
    inference(cnf_transformation,[],[knot_04]) ).

cnf('39',plain,
    product(product(a5,X),a6) = product(a7,product(X,a6)),
    inference(paramodulation,[],['38','5']) ).

cnf('40',plain,
    product(a3,a6) = product(a7,product(a4,a6)),
    inference(paramodulation,[],['37','39']) ).

cnf('41',plain,
    product(a3,a6) = product(a7,a3),
    inference(paramodulation,[],['35','40']) ).

cnf('42',plain,
    product(a3,a6) = a4,
    inference(paramodulation,[],['35','2']) ).

cnf('43',plain,
    a4 = a8,
    inference(simplify,[then_simplify],['41','42','13']) ).

cnf('44',plain,
    product(a4,a8) = a15,
    inference(paramodulation,[],['17','2']) ).

cnf('45',plain,
    product(a8,a8) = a15,
    inference(paramodulation,[],['43','44']) ).

cnf('46',plain,
    product(X,X) = X,
    inference(cnf_transformation,[],[involutory_quandle]) ).

cnf('47',plain,
    a8 = a15,
    inference(simplify,[],['45','46']) ).

cnf('48',plain,
    product(a15,a3) = a7,
    inference(paramodulation,[],['47','14']) ).

cnf('49',plain,
    a14 = a7,
    inference(simplify,[],['48','19']) ).

cnf('50',plain,
    product(a7,a2) = a10,
    inference(paramodulation,[],['15','2']) ).

cnf('51',plain,
    product(a14,a2) = a10,
    inference(paramodulation,[],['49','50']) ).

cnf('52',plain,
    product(a10,a11) = a12,
    inference(cnf_transformation,[],[knot_08]) ).

cnf('53',plain,
    product(a12,a2) = a11,
    inference(simplify,[then_simplify],['29','51','52']) ).

cnf('54',plain,
    product(a11,a2) = a12,
    inference(paramodulation,[],['53','2']) ).

cnf('55',plain,
    product(a13,a8) = a6,
    inference(cnf_transformation,[],[knot_10]) ).

cnf('56',plain,
    product(a12,a3) = a13,
    inference(cnf_transformation,[],[knot_09]) ).

cnf('57',plain,
    product(a13,a3) = a12,
    inference(paramodulation,[],['56','2']) ).

cnf('58',plain,
    product(product(a13,X),a3) = product(a12,product(X,a3)),
    inference(paramodulation,[],['57','5']) ).

cnf('59',plain,
    product(a6,a3) = product(a12,product(a8,a3)),
    inference(paramodulation,[],['55','58']) ).

cnf('60',plain,
    product(a6,a3) = product(a12,a7),
    inference(simplify,[],['59','14']) ).

cnf('61',plain,
    product(product(a12,a7),a3) = a6,
    inference(paramodulation,[],['60','2']) ).

cnf('62',plain,
    product(a6,a7) = product(a12,product(a3,a7)),
    inference(paramodulation,[],['61','24']) ).

cnf('63',plain,
    a2 = product(a12,product(a3,a7)),
    inference(simplify,[],['62','33']) ).

cnf('64',plain,
    a2 = product(a12,product(a11,a2)),
    inference(paramodulation,[],['16','63']) ).

cnf('65',plain,
    a2 = product(a12,a12),
    inference(paramodulation,[],['54','64']) ).

cnf('66',plain,
    a2 = a12,
    inference(simplify,[],['65','46']) ).

cnf('67',plain,
    product(a9,a12) = a8,
    inference(paramodulation,[],['66','10']) ).

cnf('68',plain,
    product(a15,a2) = a9,
    inference(paramodulation,[],['47','9']) ).

cnf('69',plain,
    product(a15,a12) = a9,
    inference(paramodulation,[],['66','68']) ).

cnf('70',plain,
    product(a11,product(a3,a7)) = a14,
    inference(paramodulation,[],['27','2']) ).

cnf('71',plain,
    product(a11,product(a11,a2)) = a14,
    inference(paramodulation,[],['16','70']) ).

cnf('72',plain,
    product(a11,a12) = a14,
    inference(paramodulation,[],['54','71']) ).

cnf('73',plain,
    a11 = product(a14,a12),
    inference(paramodulation,[],['54','28']) ).

cnf('74',plain,
    product(a2,a12) = a14,
    inference(cnf_transformation,[],[knot_12]) ).

cnf('75',plain,
    product(a14,a12) = a2,
    inference(paramodulation,[],['74','2']) ).

cnf('76',plain,
    a11 = a12,
    inference(simplify,[then_simplify],['73','75','66']) ).

cnf('77',plain,
    a12 = a14,
    inference(simplify,[then_simplify],['72','76','46']) ).

cnf('78',plain,
    product(a8,a7) = a11,
    inference(paramodulation,[],['43','26']) ).

cnf('79',plain,
    product(a15,a7) = a11,
    inference(simplify,[],['78','47']) ).

cnf('80',plain,
    product(a15,a14) = a11,
    inference(paramodulation,[],['49','79']) ).

cnf('81',plain,
    a14 = a9,
    inference(simplify,[then_simplify],['69','77','80','76','77']) ).

cnf('82',plain,
    a14 = a15,
    inference(simplify,[then_simplify],['67','81','77','46','47']) ).

cnf('83',plain,
    tuple(a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14) != tuple(a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15),
    inference(cnf_transformation,[],[goal]) ).

cnf('84',plain,
    tuple(a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14) != tuple(a2,a3,a8,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15),
    inference(paramodulation,[],['43','83']) ).

cnf('85',plain,
    tuple(a1,a2,a3,a8,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14) != tuple(a2,a3,a8,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15),
    inference(simplify,[],['84','43']) ).

cnf('86',plain,
    tuple(a1,a2,a3,a8,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14) != tuple(a2,a3,a8,a5,a6,a7,a15,a9,a10,a11,a12,a13,a14,a15),
    inference(paramodulation,[],['47','85']) ).

cnf('87',plain,
    tuple(a1,a2,a3,a15,a5,a6,a7,a15,a9,a10,a11,a12,a13,a14) != tuple(a2,a3,a15,a5,a6,a7,a15,a9,a10,a11,a12,a13,a14,a15),
    inference(simplify,[then_simplify],['86','47','47','47']) ).

cnf('88',plain,
    tuple(a1,a2,a3,a15,a5,a6,a7,a15,a9,a10,a11,a14,a13,a14) != tuple(a2,a3,a15,a5,a6,a7,a15,a9,a10,a11,a12,a13,a14,a15),
    inference(paramodulation,[],['77','87']) ).

cnf('89',plain,
    product(a2,a14) = a6,
    inference(paramodulation,[],['49','34']) ).

cnf('90',plain,
    product(a12,a14) = a6,
    inference(paramodulation,[],['66','89']) ).

cnf('91',plain,
    a14 = a6,
    inference(simplify,[then_simplify],['90','77','46']) ).

cnf('92',plain,
    tuple(a1,a14,a3,a15,a5,a14,a14,a15,a9,a10,a14,a14,a13,a14) != tuple(a14,a3,a15,a5,a14,a14,a15,a9,a10,a14,a14,a13,a14,a15),
    inference(simplify,[then_simplify],['88','66','77','91','49','76','77','66','77','91','49','76','77','77']) ).

cnf('93',plain,
    tuple(a1,a14,a3,a15,a5,a14,a14,a15,a9,a10,a14,a14,a13,a15) != tuple(a14,a3,a15,a5,a14,a14,a15,a9,a10,a14,a14,a13,a14,a15),
    inference(paramodulation,[],['82','92']) ).

cnf('94',plain,
    product(a3,a2) = a1,
    inference(paramodulation,[],['4','2']) ).

cnf('95',plain,
    product(a3,a12) = a1,
    inference(paramodulation,[],['66','94']) ).

cnf('96',plain,
    product(a3,a8) = a5,
    inference(paramodulation,[],['43','36']) ).

cnf('97',plain,
    product(a3,a15) = a5,
    inference(simplify,[],['96','47']) ).

cnf('98',plain,
    a5 = a1,
    inference(simplify,[then_simplify],['95','77','82','97']) ).

cnf('99',plain,
    product(a12,a10) = a1,
    inference(paramodulation,[],['76','1']) ).

cnf('100',plain,
    product(a14,a12) = a10,
    inference(paramodulation,[],['66','51']) ).

cnf('101',plain,
    a14 = a10,
    inference(simplify,[then_simplify],['100','77','46']) ).

cnf('102',plain,
    a15 = a5,
    inference(simplify,[then_simplify],['99','77','82','101','82','46','98']) ).

cnf('103',plain,
    product(a1,a10) = a12,
    inference(paramodulation,[],['76','3']) ).

cnf('104',plain,
    product(a5,a8) = a3,
    inference(paramodulation,[],['43','37']) ).

cnf('105',plain,
    product(a5,a15) = a3,
    inference(paramodulation,[],['47','104']) ).

cnf('106',plain,
    a3 = a15,
    inference(simplify,[then_simplify],['103','98','101','82','105','77','82']) ).

cnf('107',plain,
    product(a14,a3) = a13,
    inference(paramodulation,[],['77','56']) ).

cnf('108',plain,
    a15 = a13,
    inference(simplify,[then_simplify],['107','82','106','46']) ).

cnf('109',plain,
    $false,
    inference(simplify,[then_simplify],['93','98','102','82','106','102','82','82','81','82','101','82','82','82','108','82','106','102','82','82','81','82','101','82','82','82','108','82']) ).


%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.07/0.13  % Problem  : TOP053-1 : TPTP v8.1.2. Released v8.1.0.
% 0.07/0.13  % Command  : gkc %s
% 0.15/0.35  % Computer : n002.cluster.edu
% 0.15/0.35  % Model    : x86_64 x86_64
% 0.15/0.35  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.15/0.35  % Memory   : 8042.1875MB
% 0.15/0.35  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.15/0.35  % CPULimit : 300
% 0.15/0.35  % WCLimit  : 300
% 0.15/0.35  % DateTime : Sun Aug 27 00:14:33 EDT 2023
% 0.15/0.35  % CPUTime  : 
% 0.15/0.40  
% 0.15/0.40  input clause set summed statistics:
% 0.15/0.40  ----------------------------------
% 0.15/0.40  in_clause_count:                    19
% 0.15/0.40  in_rule_clause_count:               19
% 0.15/0.40  in_fact_clause_count:                0
% 0.15/0.40  in_answer_clause_count:              0
% 0.15/0.40  in_ground_clause_count:             16
% 0.15/0.40  in_unit_clause_count:               19
% 0.15/0.40  in_horn_clause_count:               19
% 0.15/0.40  in_pos_clause_count:                18
% 0.15/0.40  in_neg_clause_count:                 1
% 0.15/0.40  in_poseq_clause_count:              18
% 0.15/0.40  in_negeq_clause_count:               1
% 0.15/0.40  in_unitposeq_clause_count:          18
% 0.15/0.40  in_chain_clause_count:               0
% 0.15/0.40  in_min_length:             1
% 0.15/0.40  in_max_length:             1
% 0.15/0.40  in_min_depth:              2
% 0.15/0.40  in_max_depth:              3
% 0.15/0.40  in_min_size:               5
% 0.15/0.40  in_max_size:              31
% 0.15/0.40  in_min_vars:               0
% 0.15/0.40  in_max_vars:               3
% 0.15/0.40  in_extaxiom_count:                 0
% 0.15/0.40  in_axiom_count:                   18
% 0.15/0.40  in_assumption_count:               0
% 0.15/0.40  in_goal_count:                     1
% 0.15/0.40  in_neg_goal_count:                 1
% 0.15/0.40  in_pos_goal_count:                 0
% 0.15/0.40  in_posunit_goal_count:             0
% 0.15/0.40  
% 0.15/0.40  auto guide:
% 0.15/0.40  -----------
% 0.15/0.40  {
% 0.15/0.40  "print":1,
% 0.15/0.40  "print_level": 15,
% 0.15/0.40  "max_size": 0,
% 0.15/0.40  "max_depth": 0,
% 0.15/0.40  "max_length": 0,
% 0.15/0.40  "max_dseconds": 0,
% 0.15/0.40  "runs":[
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.15/0.40  {"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},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.15/0.40  {"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},
% 0.15/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20},
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% 0.15/0.40  {"max_dseconds": 50, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
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% 0.15/0.40  {"max_dseconds": 50, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20, "rewrite":0},
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% 0.15/0.40  {"max_dseconds": 50,"strategy":["unit"],"query_preference":0,"max_size":30},
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% 0.15/0.40  {"max_dseconds": 50,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.15/0.40  {"max_dseconds": 50,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
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% 0.15/0.40  {"max_dseconds": 50, "strategy":["unit"], "query_preference": 1, "sine":1, "rewrite":0},
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% 0.15/0.40  {"max_dseconds": 50, "strategy":["unit"], "query_preference": 0, "sine":2},
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% 0.15/0.40  {"max_dseconds": 50, "strategy":["unit"], "query_preference": 0, "sine":1},
% 0.15/0.40  {"max_dseconds": 50, "strategy":["unit"], "query_preference": 1, "sine":1, "depth_penalty":50},
% 0.15/0.40  {"max_dseconds": 50, "strategy":["unit"], "query_preference": 1, "sine":1, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.15/0.40  {"max_dseconds": 50, "strategy":["unit"], "var_weight":70,"repeat_var_weight":70,"query_preference":1, "sine":1},
% 0.15/0.40  
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "rewrite":0},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20, "rewrite":0},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":2},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["query_focus"], "query_preference": 0},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["query_focus"], "query_preference": 1},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["query_focus"], "query_preference": 2},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "reverse_clauselist": 1},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "max_depth": 2},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "max_depth": 4},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "max_depth": 6},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "max_depth": 8},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "max_depth": 10},
% 0.15/0.40  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":10},
% 0.15/0.40  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":15},
% 0.15/0.40  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":20},
% 0.15/0.40  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":20, "weight_select_ratio":2},
% 0.15/0.40  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.15/0.40  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.15/0.40  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.15/0.40  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.15/0.40  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.15/0.40  {"max_dseconds": 250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.15/0.40  {"max_dseconds": 250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.15/0.40  {"max_dseconds": 250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
% 0.15/0.40  {"max_dseconds": 250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.15/0.40  {"max_dseconds": 250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.15/0.40  {"max_dseconds": 250,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.15/0.40  {"max_dseconds": 250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "sine":1},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "sine":1, "rewrite":0},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "sine":1, "weight_select_ratio":2},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "sine":2},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "sine":2},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "sine":1},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "sine":1, "depth_penalty":50},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "sine":1, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.15/0.40  {"max_dseconds": 250, "strategy":["unit"], "var_weight":70,"repeat_var_weight":70,"query_preference":1, "sine":1},
% 0.15/0.40  
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "rewrite":0},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20, "rewrite":0},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":2},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 0},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 1},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 2},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "reverse_clauselist": 1},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 2},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 4},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 6},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 8},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 10},
% 0.15/0.40  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":10},
% 0.15/0.40  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":15},
% 0.15/0.40  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":20},
% 0.15/0.40  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":20, "weight_select_ratio":2},
% 0.15/0.40  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.15/0.40  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.15/0.40  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.15/0.40  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.15/0.40  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.15/0.40  {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.15/0.40  {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.15/0.40  {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
% 0.15/0.40  {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.15/0.40  {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.15/0.40  {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.15/0.40  {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "sine":1},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "sine":1, "rewrite":0},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "sine":1, "weight_select_ratio":2},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "sine":2},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "sine":2},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "sine":1},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "sine":1, "depth_penalty":50},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "sine":1, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.15/0.40  {"max_dseconds": 1250, "strategy":["unit"], "var_weight":70,"repeat_var_weight":70,"query_preference":1, "sine":1} 
% 0.15/0.40  
% 0.15/0.40  ]}
% 0.15/0.40  
% 0.15/0.41  
% 0.15/0.41  **** run 1 fork 0 starts with strategy
% 0.15/0.41  {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.15/0.41  
% 0.15/0.41  **** run 2 fork 1 starts with strategy
% 0.15/0.41  {"max_dseconds":1,"strategy":["unit"],"query_preference":0}
% 0.15/0.41  
% 0.15/0.41  **** run 3 fork 2 starts with strategy
% 0.15/0.41  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.15/0.41  
% 0.15/0.41  **** run 4 fork 3 starts with strategy
% 0.15/0.41  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20,"depth_penalty":100}
% 0.15/0.41  
% 0.15/0.41  **** run 5 fork 4 starts with strategy
% 0.15/0.41  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":20,"repeat_var_weight":1,"depth_penalty":100}
% 0.15/0.41  
% 0.15/0.41  **** run 6 fork 5 starts with strategy
% 0.15/0.41  {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20}
% 0.15/0.41  
% 0.15/0.41  **** run 8 fork 7 starts with strategy
% 0.15/0.41  {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20,"depth_penalty":50}
% 0.15/0.41  
% 0.15/0.41  **** run 7 fork 6 starts with strategy
% 0.15/0.41  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20}
% 0.21/0.53  
% 0.21/0.53  
% 0.21/0.53  fork 2: search terminated without proof.
% 0.21/0.53  
% 0.21/0.53  
% 0.21/0.53  fork 1: search terminated without proof.
% 0.21/0.53  
% 0.21/0.53  
% 0.21/0.53  fork 4: search terminated without proof.
% 0.21/0.53  
% 0.21/0.53  
% 0.21/0.53  fork 3: search terminated without proof.
% 0.21/0.54  
% 0.21/0.54  
% 0.21/0.54  fork 6: search terminated without proof.
% 0.21/0.54  
% 0.21/0.54  
% 0.21/0.54  fork 7: search terminated without proof.
% 0.21/0.55  
% 0.21/0.55  
% 0.21/0.55  result: proof found
% 0.21/0.55  for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.21/0.55  by run 6 fork 5 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20}
% 0.21/0.55  % SZS status Unsatisfiable for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.21/0.55  
% 0.21/0.55  % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p 
% See solution above
% 0.21/0.55  
% 0.21/0.55  run 6 fork 5 statistics:
% 0.21/0.55  ----------------------------------
% 0.21/0.55  this run seconds: 0.039027
% 0.21/0.55  total seconds: 0.066668
% 0.21/0.55  stat_given_used: 150
% 0.21/0.55  stat_given_used_at_endgame: 0
% 0.21/0.55  stat_given_candidates:   722
% 0.21/0.55  stat_given_candidates_at_endgame: 0
% 0.21/0.55  stat_given_candidates_h: 0
% 0.21/0.55  stat_binres_derived_cl:   0
% 0.21/0.55  stat_binres_derived_cl_h: 0
% 0.21/0.55  stat_factor_derived_cl: 0
% 0.21/0.55  stat_para_derived_cl: 2451
% 0.21/0.55  stat_tautologies_discarded: 0
% 0.21/0.55  stat_forward_subsumed: 163
% 0.21/0.55  stat_derived_cut: 1
% 0.21/0.55  stat_derived_rewritten: 142
% 0.21/0.55  stat_weight_discarded_building: 0
% 0.21/0.55  stat_weight_discarded_cl: 0
% 0.21/0.55  stat_internlimit_discarded_cl: 0
% 0.21/0.55  stat_simplified:  142 simplified 0 derived 0 given
% 0.21/0.55  stat_kept_cl: 2011
% 0.21/0.55  stat_built_cl: 2452
% 0.21/0.55  stat_hyperres_partial_cl: 0
% 0.21/0.55  stat_made_rewriters: 137
% 0.21/0.55  stat_backward_subsumed: 0
% 0.21/0.55  stat_propagated_subsumed: 0
% 0.21/0.55  stat_clsubs_attempted:                       491
% 0.21/0.55  stat_clsubs_fact_groundunit_found:             0
% 0.21/0.55  stat_clsubs_rule_groundunit_found:           104
% 0.21/0.55  stat_clsubs_top_meta_attempted:               2655
% 0.21/0.55  stat_clsubs_top_meta_failed:                  2164
% 0.21/0.55  stat_clsubs_top_meta_nonpref_attempted:                2655
% 0.21/0.55  stat_clsubs_top_meta_nonpref_succeeded:                 539
% 0.21/0.55  stat_clsubs_top_meta_pref_attempted:                    539
% 0.21/0.55  stat_clsubs_top_meta_pref1_succeeded:                   527
% 0.21/0.55  stat_clsubs_top_meta_pref2_succeeded:                   519
% 0.21/0.55  stat_clsubs_top_meta_pref3_succeeded:                   491
% 0.21/0.55  stat_clsubs_top_meta_pref_succeeded:                    491
% 0.21/0.55  stat_clsubs_meta_attempted:                  491
% 0.21/0.55  stat_clsubs_meta_failed:                     329
% 0.21/0.55  stat_clsubs_predsymbs_attempted:               0
% 0.21/0.55  stat_clsubs_unit_attempted:                  491
% 0.21/0.55  stat_clsubs_full_attempted:                    0
% 0.21/0.55  stat_forwardsubs_attempted:                 2174
% 0.21/0.55  stat_lit_hash_added:                   2150
% 0.21/0.55  stat_lit_hash_computed:                4842
% 0.21/0.55  stat_lit_hash_match_found:              307
% 0.21/0.55  stat_lit_hash_match_miss:              4537
% 0.21/0.55  stat_lit_hash_cut_ok:                     0
% 0.21/0.55  stat_lit_strong_cut_ok:                   0
% 0.21/0.55  stat_lit_hash_subsume_ok:               163
% 0.21/0.55  clqueue els 10000000 used 1
% 0.21/0.55  clactive els 10000000 used 151
% 0.21/0.55  clactivesubsume els 10000000 used 181
% 0.21/0.55  queue_termbuf els 200000000 used 123621
% 0.21/0.55  hyper_termbuf els 100000000 used 1
% 0.21/0.55  active_termbuf els 100000000 used 4293
% 0.21/0.55  varstack els 5000 last used 1
% 0.21/0.55  given_termbuf els 10000000 last used 1
% 0.21/0.55  simplified_termbuf els 10000000 last used 1
% 0.21/0.55  derived_termbuf els 10000000 last used 3
% 0.21/0.55  wr_mallocs: 10156
% 0.21/0.55  wr_callocs: 21
% 0.21/0.55  wr_reallocs: 214
% 0.21/0.55  wr_frees: 2
% 0.21/0.55  wr_malloc_bytes: 4162934740
% 0.21/0.55  wr_calloc_bytes: 112065536
% 0.21/0.55  wr_realloc_bytes: 53936
% 0.21/0.55  wr_realloc_freebytes: 0
% 0.21/0.55  ----------------------------------
%------------------------------------------------------------------------------