TSTP Solution File: TOP051-1 by GKC---0.8

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : GKC---0.8
% Problem  : TOP051-1 : 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 05:57:09 EDT 2023

% Result   : Unsatisfiable 0.21s 0.71s
% Output   : CNFRefutation 0.21s
% Verified : 
% SZS Type : ERROR: Analysing output (Could not find formula named knot_08)

% Comments : 
%------------------------------------------------------------------------------
cnf('1',plain,
    product(a7,a3) = a8,
    inference(cnf_transformation,[],[knot_08]) ).

cnf('2',plain,
    product(a2,a7) = a3,
    inference(cnf_transformation,[],[knot_03]) ).

cnf('3',plain,
    product(product(X,Y),Y) = X,
    inference(cnf_transformation,[],[involutory_quandle_01]) ).

cnf('4',plain,
    product(a3,a7) = a2,
    inference(paramodulation,[],['2','3']) ).

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(X,a3),a7) = product(product(X,a7),a2),
    inference(paramodulation,[],['4','5']) ).

cnf('7',plain,
    product(a8,a7) = product(product(a7,a7),a2),
    inference(paramodulation,[],['1','6']) ).

cnf('8',plain,
    product(X,X) = X,
    inference(cnf_transformation,[],[involutory_quandle]) ).

cnf('9',plain,
    product(a6,a2) = a7,
    inference(cnf_transformation,[],[knot_07]) ).

cnf('10',plain,
    product(a7,a2) = a6,
    inference(paramodulation,[],['9','3']) ).

cnf('11',plain,
    product(a8,a7) = a6,
    inference(simplify,[then_simplify],['7','8','10']) ).

cnf('12',plain,
    product(a6,a7) = a8,
    inference(paramodulation,[],['11','3']) ).

cnf('13',plain,
    product(product(a6,X),a2) = product(a7,product(X,a2)),
    inference(paramodulation,[],['9','5']) ).

cnf('14',plain,
    product(a8,a2) = product(a7,product(a7,a2)),
    inference(paramodulation,[],['12','13']) ).

cnf('15',plain,
    product(a8,a2) = product(a7,a6),
    inference(simplify,[],['14','10']) ).

cnf('16',plain,
    product(product(a8,a2),a6) = a7,
    inference(paramodulation,[],['15','3']) ).

cnf('17',plain,
    product(a8,a6) = a9,
    inference(cnf_transformation,[],[knot_09]) ).

cnf('18',plain,
    product(product(a8,X),a6) = product(a9,product(X,a6)),
    inference(paramodulation,[],['17','5']) ).

cnf('19',plain,
    product(a1,a6) = a2,
    inference(cnf_transformation,[],[knot]) ).

cnf('20',plain,
    product(a2,a6) = a1,
    inference(paramodulation,[],['19','3']) ).

cnf('21',plain,
    product(a9,a1) = a7,
    inference(simplify,[then_simplify],['16','18','20']) ).

cnf('22',plain,
    product(a7,a1) = a9,
    inference(paramodulation,[],['21','3']) ).

cnf('23',plain,
    product(product(X,Y),X) = product(X,product(Y,X)),
    inference(paramodulation,[],['8','5']) ).

cnf('24',plain,
    product(product(a1,a7),a1) = product(a1,a9),
    inference(paramodulation,[],['22','23']) ).

cnf('25',plain,
    product(product(a2,X),a7) = product(a3,product(X,a7)),
    inference(paramodulation,[],['2','5']) ).

cnf('26',plain,
    product(a1,a7) = product(a3,product(a6,a7)),
    inference(paramodulation,[],['20','25']) ).

cnf('27',plain,
    product(a1,a7) = product(a3,a8),
    inference(paramodulation,[],['12','26']) ).

cnf('28',plain,
    product(a3,a1) = a4,
    inference(cnf_transformation,[],[knot_04]) ).

cnf('29',plain,
    product(a4,a1) = a3,
    inference(paramodulation,[],['28','3']) ).

cnf('30',plain,
    product(product(X,a4),a1) = product(product(X,a1),a3),
    inference(paramodulation,[],['29','5']) ).

cnf('31',plain,
    product(product(a9,a4),a1) = product(a7,a3),
    inference(paramodulation,[],['21','30']) ).

cnf('32',plain,
    product(a9,a4) = a10,
    inference(cnf_transformation,[],[knot_10]) ).

cnf('33',plain,
    product(a10,a1) = a8,
    inference(simplify,[then_simplify],['31','32','1']) ).

cnf('34',plain,
    product(a4,a10) = a5,
    inference(cnf_transformation,[],[knot_05]) ).

cnf('35',plain,
    product(product(a4,X),a1) = product(a3,product(X,a1)),
    inference(paramodulation,[],['29','5']) ).

cnf('36',plain,
    product(a5,a1) = product(a3,product(a10,a1)),
    inference(paramodulation,[],['34','35']) ).

cnf('37',plain,
    product(a5,a1) = product(a3,a8),
    inference(paramodulation,[],['33','36']) ).

cnf('38',plain,
    a5 = product(a1,a9),
    inference(simplify,[then_simplify],['24','27','37','3']) ).

cnf('39',plain,
    product(a5,a9) = a1,
    inference(paramodulation,[],['38','3']) ).

cnf('40',plain,
    product(a5,a9) = a6,
    inference(cnf_transformation,[],[knot_06]) ).

cnf('41',plain,
    a6 = a1,
    inference(simplify,[],['39','40']) ).

cnf('42',plain,
    product(a9,a6) = a7,
    inference(paramodulation,[],['41','21']) ).

cnf('43',plain,
    product(a9,a6) = a8,
    inference(paramodulation,[],['17','3']) ).

cnf('44',plain,
    product(a1,a2) = product(a2,product(a6,a2)),
    inference(paramodulation,[],['20','23']) ).

cnf('45',plain,
    product(a1,a2) = a3,
    inference(simplify,[then_simplify],['44','9','2']) ).

cnf('46',plain,
    product(a6,a2) = a3,
    inference(paramodulation,[],['41','45']) ).

cnf('47',plain,
    a7 = a3,
    inference(simplify,[],['46','9']) ).

cnf('48',plain,
    a8 = a3,
    inference(simplify,[then_simplify],['42','43','47']) ).

cnf('49',plain,
    tuple(a1,a6,a5,a2,a7,a3,a4,a9,a10,a8) != tuple(a2,a7,a6,a3,a8,a4,a5,a10,a11,a9),
    inference(cnf_transformation,[],[goal]) ).

cnf('50',plain,
    tuple(a6,a6,a5,a2,a7,a3,a4,a9,a10,a8) != tuple(a2,a7,a6,a3,a8,a4,a5,a10,a11,a9),
    inference(paramodulation,[],['41','49']) ).

cnf('51',plain,
    tuple(a6,a6,a5,a2,a7,a3,a4,a9,a10,a8) != tuple(a2,a7,a6,a8,a8,a4,a5,a10,a11,a9),
    inference(paramodulation,[],['48','50']) ).

cnf('52',plain,
    product(a6,a6) = a2,
    inference(paramodulation,[],['41','19']) ).

cnf('53',plain,
    a6 = a2,
    inference(simplify,[],['52','8']) ).

cnf('54',plain,
    product(a8,a3) = a6,
    inference(paramodulation,[],['47','11']) ).

cnf('55',plain,
    a8 = a2,
    inference(simplify,[then_simplify],['54','48','8','53']) ).

cnf('56',plain,
    product(a8,a1) = a10,
    inference(paramodulation,[],['33','3']) ).

cnf('57',plain,
    product(a8,a6) = a10,
    inference(paramodulation,[],['41','56']) ).

cnf('58',plain,
    a9 = a10,
    inference(simplify,[],['57','17']) ).

cnf('59',plain,
    product(a10,a5) = a11,
    inference(cnf_transformation,[],[knot_11]) ).

cnf('60',plain,
    product(a5,a10) = a4,
    inference(paramodulation,[],['34','3']) ).

cnf('61',plain,
    product(product(X,a5),a10) = product(product(X,a10),a4),
    inference(paramodulation,[],['60','5']) ).

cnf('62',plain,
    product(a11,a10) = product(product(a10,a10),a4),
    inference(paramodulation,[],['59','61']) ).

cnf('63',plain,
    product(a10,a4) = a9,
    inference(paramodulation,[],['32','3']) ).

cnf('64',plain,
    product(a11,a10) = a9,
    inference(simplify,[then_simplify],['62','8','63']) ).

cnf('65',plain,
    product(a9,a10) = a11,
    inference(paramodulation,[],['64','3']) ).

cnf('66',plain,
    product(a9,a9) = a11,
    inference(paramodulation,[],['58','65']) ).

cnf('67',plain,
    product(a8,a1) = a9,
    inference(paramodulation,[],['58','56']) ).

cnf('68',plain,
    a8 = a9,
    inference(simplify,[then_simplify],['67','41','53','55','8']) ).

cnf('69',plain,
    a8 = a11,
    inference(simplify,[then_simplify],['66','68','68','8']) ).

cnf('70',plain,
    product(a4,a9) = a5,
    inference(paramodulation,[],['58','34']) ).

cnf('71',plain,
    product(a3,a1) = a9,
    inference(paramodulation,[],['47','22']) ).

cnf('72',plain,
    product(a3,a6) = a4,
    inference(paramodulation,[],['41','28']) ).

cnf('73',plain,
    product(a8,a2) = a4,
    inference(simplify,[then_simplify],['72','48','53']) ).

cnf('74',plain,
    a4 = a9,
    inference(simplify,[then_simplify],['71','48','41','53','73']) ).

cnf('75',plain,
    a11 = a5,
    inference(simplify,[then_simplify],['70','74','68','69','68','69','8']) ).

cnf('76',plain,
    $false,
    inference(simplify,[then_simplify],['51','53','55','69','53','55','69','75','55','69','47','48','69','48','69','74','68','69','68','69','58','68','69','69','55','69','47','48','69','53','55','69','69','69','74','68','69','75','58','68','69','68','69']) ).


%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.08/0.13  % Problem  : TOP051-1 : TPTP v8.1.2. Released v8.1.0.
% 0.08/0.13  % Command  : gkc %s
% 0.13/0.35  % Computer : n002.cluster.edu
% 0.13/0.35  % Model    : x86_64 x86_64
% 0.13/0.35  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.35  % Memory   : 8042.1875MB
% 0.13/0.35  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.13/0.35  % CPULimit : 300
% 0.13/0.35  % WCLimit  : 300
% 0.13/0.35  % DateTime : Sun Aug 27 00:14:18 EDT 2023
% 0.13/0.35  % CPUTime  : 
% 0.21/0.40  
% 0.21/0.40  input clause set summed statistics:
% 0.21/0.40  ----------------------------------
% 0.21/0.40  in_clause_count:                    14
% 0.21/0.40  in_rule_clause_count:               14
% 0.21/0.40  in_fact_clause_count:                0
% 0.21/0.40  in_answer_clause_count:              0
% 0.21/0.40  in_ground_clause_count:             11
% 0.21/0.40  in_unit_clause_count:               14
% 0.21/0.40  in_horn_clause_count:               14
% 0.21/0.40  in_pos_clause_count:                13
% 0.21/0.40  in_neg_clause_count:                 1
% 0.21/0.40  in_poseq_clause_count:              13
% 0.21/0.40  in_negeq_clause_count:               1
% 0.21/0.40  in_unitposeq_clause_count:          13
% 0.21/0.40  in_chain_clause_count:               0
% 0.21/0.40  in_min_length:             1
% 0.21/0.40  in_max_length:             1
% 0.21/0.40  in_min_depth:              2
% 0.21/0.40  in_max_depth:              3
% 0.21/0.40  in_min_size:               5
% 0.21/0.40  in_max_size:              23
% 0.21/0.40  in_min_vars:               0
% 0.21/0.40  in_max_vars:               3
% 0.21/0.40  in_extaxiom_count:                 0
% 0.21/0.40  in_axiom_count:                   13
% 0.21/0.40  in_assumption_count:               0
% 0.21/0.40  in_goal_count:                     1
% 0.21/0.40  in_neg_goal_count:                 1
% 0.21/0.40  in_pos_goal_count:                 0
% 0.21/0.40  in_posunit_goal_count:             0
% 0.21/0.40  
% 0.21/0.40  auto guide:
% 0.21/0.40  -----------
% 0.21/0.40  {
% 0.21/0.40  "print":1,
% 0.21/0.40  "print_level": 15,
% 0.21/0.40  "max_size": 0,
% 0.21/0.40  "max_depth": 0,
% 0.21/0.40  "max_length": 0,
% 0.21/0.40  "max_dseconds": 0,
% 0.21/0.40  "runs":[
% 0.21/0.40  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1},
% 0.21/0.40  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0},
% 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  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 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  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 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,"depth_penalty":50},
% 0.21/0.40  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.21/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1},
% 0.21/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0},
% 0.21/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.21/0.40  {"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},
% 0.21/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.21/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.21/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.21/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.21/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1},
% 0.21/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0},
% 0.21/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.21/0.40  {"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},
% 0.21/0.40  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.21/0.40  {"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},
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% 0.21/0.40  {"max_dseconds": 50, "strategy":["unit"], "query_preference": 1, "sine":1, "weight_select_ratio":2},
% 0.21/0.40  {"max_dseconds": 50, "strategy":["unit"], "query_preference": 0, "sine":2},
% 0.21/0.40  {"max_dseconds": 50, "strategy":["unit"], "query_preference": 1, "sine":2},
% 0.21/0.40  {"max_dseconds": 50, "strategy":["unit"], "query_preference": 0, "sine":1},
% 0.21/0.40  {"max_dseconds": 50, "strategy":["unit"], "query_preference": 1, "sine":1, "depth_penalty":50},
% 0.21/0.40  {"max_dseconds": 50, "strategy":["unit"], "query_preference": 1, "sine":1, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.40  {"max_dseconds": 50, "strategy":["unit"], "var_weight":70,"repeat_var_weight":70,"query_preference":1, "sine":1},
% 0.21/0.40  
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "rewrite":0},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20, "rewrite":0},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":2},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["query_focus"], "query_preference": 0},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["query_focus"], "query_preference": 1},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["query_focus"], "query_preference": 2},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "reverse_clauselist": 1},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "max_depth": 2},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "max_depth": 4},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "max_depth": 6},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "max_depth": 8},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "max_depth": 10},
% 0.21/0.40  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":10},
% 0.21/0.40  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":15},
% 0.21/0.40  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":20},
% 0.21/0.40  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":20, "weight_select_ratio":2},
% 0.21/0.40  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.21/0.40  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.21/0.40  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.21/0.40  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.21/0.40  {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.21/0.40  {"max_dseconds": 250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.21/0.40  {"max_dseconds": 250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.21/0.40  {"max_dseconds": 250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
% 0.21/0.40  {"max_dseconds": 250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.21/0.40  {"max_dseconds": 250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.21/0.40  {"max_dseconds": 250,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.21/0.40  {"max_dseconds": 250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "sine":1},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "sine":1, "rewrite":0},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "sine":1, "weight_select_ratio":2},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "sine":2},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "sine":2},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "sine":1},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "sine":1, "depth_penalty":50},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "sine":1, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.40  {"max_dseconds": 250, "strategy":["unit"], "var_weight":70,"repeat_var_weight":70,"query_preference":1, "sine":1},
% 0.21/0.40  
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "rewrite":0},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20, "rewrite":0},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":2},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 0},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 1},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 2},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "reverse_clauselist": 1},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 2},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 4},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 6},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 8},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 10},
% 0.21/0.40  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":10},
% 0.21/0.40  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":15},
% 0.21/0.40  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":20},
% 0.21/0.40  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":20, "weight_select_ratio":2},
% 0.21/0.40  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.21/0.40  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.21/0.40  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.21/0.40  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.21/0.40  {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.21/0.40  {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 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  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "sine":1},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "sine":1, "rewrite":0},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "sine":1, "weight_select_ratio":2},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "sine":2},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "sine":2},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "sine":1},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "sine":1, "depth_penalty":50},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "sine":1, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.40  {"max_dseconds": 1250, "strategy":["unit"], "var_weight":70,"repeat_var_weight":70,"query_preference":1, "sine":1} 
% 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}
% 0.21/0.41  
% 0.21/0.41  **** run 6 fork 5 starts with strategy
% 0.21/0.41  
% 0.21/0.41  **** run 7 fork 6 starts with strategy
% 0.21/0.41  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20}
% 0.21/0.41  {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20}
% 0.21/0.41  
% 0.21/0.41  **** run 8 fork 7 starts with strategy
% 0.21/0.41  {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20,"depth_penalty":50}
% 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 3: search terminated without proof.
% 0.21/0.53  
% 0.21/0.53  
% 0.21/0.53  fork 0: search terminated without proof.
% 0.21/0.53  
% 0.21/0.53  
% 0.21/0.53  fork 6: 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 5: search terminated without proof.
% 0.21/0.53  
% 0.21/0.53  
% 0.21/0.53  fork 7: search terminated without proof.
% 0.21/0.56  
% 0.21/0.56  **** run 10 fork 1 starts with strategy
% 0.21/0.56  {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":1}
% 0.21/0.56  
% 0.21/0.56  **** run 13 fork 4 starts with strategy
% 0.21/0.56  {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":0,"weight_select_ratio":20,"depth_penalty":100}
% 0.21/0.56  
% 0.21/0.56  **** run 14 fork 5 starts with strategy
% 0.21/0.56  {"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}
% 0.21/0.56  
% 0.21/0.56  **** run 16 fork 7 starts with strategy
% 0.21/0.56  {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":0,"weight_select_ratio":20}
% 0.21/0.56  
% 0.21/0.56  **** run 15 fork 6 starts with strategy
% 0.21/0.56  {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":1,"weight_select_ratio":20}
% 0.21/0.56  
% 0.21/0.56  **** run 12 fork 3 starts with strategy
% 0.21/0.56  {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":0,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.21/0.56  
% 0.21/0.56  **** run 9 fork 0 starts with strategy
% 0.21/0.56  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20,"depth_penalty":50}
% 0.21/0.68  
% 0.21/0.68  
% 0.21/0.68  fork 5: search terminated without proof.
% 0.21/0.68  
% 0.21/0.68  
% 0.21/0.68  fork 7: search terminated without proof.
% 0.21/0.68  
% 0.21/0.68  
% 0.21/0.68  fork 4: search terminated without proof.
% 0.21/0.68  
% 0.21/0.68  
% 0.21/0.68  fork 0: search terminated without proof.
% 0.21/0.70  
% 0.21/0.70  **** run 22 fork 5 starts with strategy
% 0.21/0.70  {"max_dseconds":1,"strategy":["unit","prohibit_deep_para"],"query_preference":0,"weight_select_ratio":20,"depth_penalty":100}
% 0.21/0.70  
% 0.21/0.70  **** run 24 fork 7 starts with strategy
% 0.21/0.70  {"max_dseconds":1,"strategy":["unit","prohibit_deep_para"],"query_preference":1,"weight_select_ratio":20}
% 0.21/0.70  
% 0.21/0.70  **** run 21 fork 4 starts with strategy
% 0.21/0.70  {"max_dseconds":1,"strategy":["unit","prohibit_deep_para"],"query_preference":0,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.21/0.70  
% 0.21/0.70  **** run 17 fork 0 starts with strategy
% 0.21/0.70  {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":1,"weight_select_ratio":20,"depth_penalty":50}
% 0.21/0.71  
% 0.21/0.71  
% 0.21/0.71  result: proof found
% 0.21/0.71  for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% 0.21/0.71  by run 10 fork 1 strategy {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":1}
% 0.21/0.71  % SZS status Unsatisfiable for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% 0.21/0.71  
% 0.21/0.71  % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% See solution above
% 0.21/0.72  
% 0.21/0.72  run 10 fork 1 statistics:
% 0.21/0.72  ----------------------------------
% 0.21/0.72  this run seconds: 0.051114
% 0.21/0.72  total seconds: 0.220944
% 0.21/0.72  stat_given_used: 195
% 0.21/0.72  stat_given_used_at_endgame: 0
% 0.21/0.72  stat_given_candidates:   713
% 0.21/0.72  stat_given_candidates_at_endgame: 0
% 0.21/0.72  stat_given_candidates_h: 0
% 0.21/0.72  stat_binres_derived_cl:   0
% 0.21/0.72  stat_binres_derived_cl_h: 0
% 0.21/0.72  stat_factor_derived_cl: 0
% 0.21/0.72  stat_para_derived_cl: 6798
% 0.21/0.72  stat_tautologies_discarded: 0
% 0.21/0.72  stat_forward_subsumed: 395
% 0.21/0.72  stat_derived_cut: 1
% 0.21/0.72  stat_derived_rewritten: 156
% 0.21/0.72  stat_weight_discarded_building: 0
% 0.21/0.72  stat_weight_discarded_cl: 0
% 0.21/0.72  stat_internlimit_discarded_cl: 0
% 0.21/0.72  stat_simplified:  156 simplified 0 derived 0 given
% 0.21/0.72  stat_kept_cl: 6029
% 0.21/0.72  stat_built_cl: 6574
% 0.21/0.72  stat_hyperres_partial_cl: 0
% 0.21/0.72  stat_made_rewriters: 184
% 0.21/0.72  stat_backward_subsumed: 0
% 0.21/0.72  stat_propagated_subsumed: 0
% 0.21/0.72  stat_clsubs_attempted:                       770
% 0.21/0.72  stat_clsubs_fact_groundunit_found:             0
% 0.21/0.72  stat_clsubs_rule_groundunit_found:            95
% 0.21/0.72  stat_clsubs_top_meta_attempted:               5393
% 0.21/0.72  stat_clsubs_top_meta_failed:                  4623
% 0.21/0.72  stat_clsubs_top_meta_nonpref_attempted:                5393
% 0.21/0.72  stat_clsubs_top_meta_nonpref_succeeded:                 829
% 0.21/0.72  stat_clsubs_top_meta_pref_attempted:                    829
% 0.21/0.72  stat_clsubs_top_meta_pref1_succeeded:                   820
% 0.21/0.72  stat_clsubs_top_meta_pref2_succeeded:                   815
% 0.21/0.72  stat_clsubs_top_meta_pref3_succeeded:                   770
% 0.21/0.72  stat_clsubs_top_meta_pref_succeeded:                    770
% 0.21/0.72  stat_clsubs_meta_attempted:                  770
% 0.21/0.72  stat_clsubs_meta_failed:                     199
% 0.21/0.72  stat_clsubs_predsymbs_attempted:               0
% 0.21/0.72  stat_clsubs_unit_attempted:                  770
% 0.21/0.72  stat_clsubs_full_attempted:                    0
% 0.21/0.72  stat_forwardsubs_attempted:                 6424
% 0.21/0.72  stat_lit_hash_added:                   6187
% 0.21/0.72  stat_lit_hash_computed:               13142
% 0.21/0.72  stat_lit_hash_match_found:              492
% 0.21/0.72  stat_lit_hash_match_miss:             12647
% 0.21/0.72  stat_lit_hash_cut_ok:                     0
% 0.21/0.72  stat_lit_strong_cut_ok:                   0
% 0.21/0.72  stat_lit_hash_subsume_ok:               395
% 0.21/0.72  clqueue els 10000000 used 1
% 0.21/0.72  clactive els 10000000 used 196
% 0.21/0.72  clactivesubsume els 10000000 used 307
% 0.21/0.72  queue_termbuf els 200000000 used 434832
% 0.21/0.72  hyper_termbuf els 100000000 used 1
% 0.21/0.72  active_termbuf els 100000000 used 6192
% 0.21/0.72  varstack els 5000 last used 1
% 0.21/0.72  given_termbuf els 10000000 last used 1
% 0.21/0.72  simplified_termbuf els 10000000 last used 1
% 0.21/0.72  derived_termbuf els 10000000 last used 3
% 0.21/0.72  wr_mallocs: 26187
% 0.21/0.72  wr_callocs: 21
% 0.21/0.72  wr_reallocs: 800
% 0.21/0.72  wr_frees: 2
% 0.21/0.72  wr_malloc_bytes: 4163506036
% 0.21/0.72  wr_calloc_bytes: 112065536
% 0.21/0.72  wr_realloc_bytes: 174960
% 0.21/0.72  wr_realloc_freebytes: 0
% 0.21/0.72  ----------------------------------
%------------------------------------------------------------------------------