TSTP Solution File: TOP049-1 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : TOP049-1 : TPTP v8.1.2. Released v8.1.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n011.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 0.51s
% Output : CNFRefutation 0.21s
% Verified :
% SZS Type : ERROR: Analysing output (Could not find formula named knot_09)
% Comments :
%------------------------------------------------------------------------------
cnf('1',plain,
a10 = product(a8,a9),
inference(cnf_transformation,[],[knot_09]) ).
cnf('2',plain,
product(product(X,Y),Y) = X,
inference(cnf_transformation,[],[involutory_quandle_01]) ).
cnf('3',plain,
product(a10,a9) = a8,
inference(paramodulation,[],['1','2']) ).
cnf('4',plain,
a9 = product(a4,a8),
inference(cnf_transformation,[],[knot_11]) ).
cnf('5',plain,
product(a9,a8) = a4,
inference(paramodulation,[],['4','2']) ).
cnf('6',plain,
product(product(X,Y),Z) = product(product(X,Z),product(Y,Z)),
inference(cnf_transformation,[],[involutory_quandle_02]) ).
cnf('7',plain,
product(product(X,a9),a8) = product(product(X,a8),a4),
inference(paramodulation,[],['5','6']) ).
cnf('8',plain,
product(a8,a8) = product(product(a10,a8),a4),
inference(paramodulation,[],['3','7']) ).
cnf('9',plain,
product(X,X) = X,
inference(cnf_transformation,[],[involutory_quandle]) ).
cnf('10',plain,
a8 = product(product(a10,a8),a4),
inference(simplify,[],['8','9']) ).
cnf('11',plain,
a8 = product(product(a10,a4),product(a8,a4)),
inference(paramodulation,[],['10','6']) ).
cnf('12',plain,
a8 = product(a7,a4),
inference(cnf_transformation,[],[knot_08]) ).
cnf('13',plain,
product(a8,a4) = a7,
inference(paramodulation,[],['12','2']) ).
cnf('14',plain,
a8 = product(product(a10,a4),a7),
inference(simplify,[],['11','13']) ).
cnf('15',plain,
product(a8,a7) = product(a10,a4),
inference(paramodulation,[],['14','2']) ).
cnf('16',plain,
a5 = product(a2,a10),
inference(cnf_transformation,[],[knot_05]) ).
cnf('17',plain,
a2 = product(a3,a4),
inference(cnf_transformation,[],[knot_04]) ).
cnf('18',plain,
product(a2,a4) = a3,
inference(paramodulation,[],['17','2']) ).
cnf('19',plain,
product(product(a2,X),a4) = product(a3,product(X,a4)),
inference(paramodulation,[],['18','6']) ).
cnf('20',plain,
product(a5,a4) = product(a3,product(a10,a4)),
inference(paramodulation,[],['16','19']) ).
cnf('21',plain,
a6 = product(a5,a4),
inference(cnf_transformation,[],[knot_06]) ).
cnf('22',plain,
a6 = product(a3,product(a10,a4)),
inference(simplify,[],['20','21']) ).
cnf('23',plain,
product(a6,product(a10,a4)) = a3,
inference(paramodulation,[],['22','2']) ).
cnf('24',plain,
product(a6,product(a8,a7)) = a3,
inference(paramodulation,[],['15','23']) ).
cnf('25',plain,
product(product(product(X,Y),Z),Y) = product(X,product(Z,Y)),
inference(paramodulation,[],['2','6']) ).
cnf('26',plain,
product(product(product(a6,a7),a8),a7) = a3,
inference(paramodulation,[],['24','25']) ).
cnf('27',plain,
product(a8,a4) = product(a10,a8),
inference(paramodulation,[],['10','2']) ).
cnf('28',plain,
a7 = product(a10,a8),
inference(simplify,[],['27','13']) ).
cnf('29',plain,
product(product(a10,X),a9) = product(a8,product(X,a9)),
inference(paramodulation,[],['3','6']) ).
cnf('30',plain,
product(a7,a9) = product(a8,product(a8,a9)),
inference(paramodulation,[],['28','29']) ).
cnf('31',plain,
a7 = product(a6,a1),
inference(cnf_transformation,[],[knot_07]) ).
cnf('32',plain,
product(a7,a1) = a6,
inference(paramodulation,[],['31','2']) ).
cnf('33',plain,
a1 = product(a9,a7),
inference(cnf_transformation,[],[knot]) ).
cnf('34',plain,
product(a1,a7) = a9,
inference(paramodulation,[],['33','2']) ).
cnf('35',plain,
product(product(X,a1),a7) = product(product(X,a7),a9),
inference(paramodulation,[],['34','6']) ).
cnf('36',plain,
product(a6,a7) = product(product(a7,a7),a9),
inference(paramodulation,[],['32','35']) ).
cnf('37',plain,
product(a6,a7) = product(a7,a9),
inference(simplify,[],['36','9']) ).
cnf('38',plain,
product(a6,a7) = product(a8,a10),
inference(simplify,[then_simplify],['30','37','1']) ).
cnf('39',plain,
product(a7,a8) = a10,
inference(paramodulation,[],['28','2']) ).
cnf('40',plain,
product(product(a7,a9),a8) = product(a10,a4),
inference(paramodulation,[],['39','7']) ).
cnf('41',plain,
product(product(a8,a10),a8) = product(a8,a7),
inference(simplify,[then_simplify],['40','37','38','15']) ).
cnf('42',plain,
a8 = a3,
inference(simplify,[then_simplify],['26','38','41','2']) ).
cnf('43',plain,
a4 = product(a10,a3),
inference(cnf_transformation,[],[knot_10]) ).
cnf('44',plain,
a4 = product(a10,a8),
inference(paramodulation,[],['42','43']) ).
cnf('45',plain,
a4 = a7,
inference(simplify,[],['44','28']) ).
cnf('46',plain,
product(a4,a1) = a6,
inference(paramodulation,[],['45','32']) ).
cnf('47',plain,
product(a4,a3) = a10,
inference(paramodulation,[],['43','2']) ).
cnf('48',plain,
product(a4,a8) = a10,
inference(paramodulation,[],['42','47']) ).
cnf('49',plain,
a9 = a10,
inference(simplify,[],['48','4']) ).
cnf('50',plain,
product(a10,a8) = a4,
inference(paramodulation,[],['49','5']) ).
cnf('51',plain,
a3 = product(a1,a2),
inference(cnf_transformation,[],[knot_03]) ).
cnf('52',plain,
product(a3,a2) = a1,
inference(paramodulation,[],['51','2']) ).
cnf('53',plain,
product(a8,a2) = a1,
inference(paramodulation,[],['42','52']) ).
cnf('54',plain,
product(a1,a2) = a8,
inference(paramodulation,[],['53','2']) ).
cnf('55',plain,
a2 = product(a8,a4),
inference(paramodulation,[],['42','17']) ).
cnf('56',plain,
a2 = a4,
inference(simplify,[then_simplify],['55','13','45']) ).
cnf('57',plain,
product(product(a3,X),a4) = product(a2,product(X,a4)),
inference(paramodulation,[],['17','6']) ).
cnf('58',plain,
product(a1,a4) = product(a2,product(a2,a4)),
inference(paramodulation,[],['52','57']) ).
cnf('59',plain,
product(a1,a4) = product(a2,a3),
inference(simplify,[],['58','18']) ).
cnf('60',plain,
a10 = a8,
inference(simplify,[then_simplify],['54','56','59','56','42','4','49']) ).
cnf('61',plain,
a8 = a4,
inference(simplify,[then_simplify],['50','60','9']) ).
cnf('62',plain,
a1 = product(a10,a7),
inference(paramodulation,[],['49','33']) ).
cnf('63',plain,
a1 = a8,
inference(simplify,[then_simplify],['62','60','45','61','9']) ).
cnf('64',plain,
a8 = a6,
inference(simplify,[then_simplify],['46','61','63','9']) ).
cnf('65',plain,
tuple(a1,a9,a8,a6,a7,a2,a3,a4,a5) != tuple(a2,a10,a9,a7,a8,a3,a4,a5,a6),
inference(cnf_transformation,[],[goal]) ).
cnf('66',plain,
tuple(a1,a9,a8,a6,a7,a2,a3,a4,a5) != tuple(a2,a10,a9,a7,a8,a8,a4,a5,a6),
inference(paramodulation,[],['42','65']) ).
cnf('67',plain,
tuple(a1,a9,a8,a6,a7,a2,a8,a4,a5) != tuple(a2,a10,a9,a7,a8,a8,a4,a5,a6),
inference(simplify,[],['66','42']) ).
cnf('68',plain,
tuple(a1,a9,a8,a6,a7,a2,a8,a4,a5) != tuple(a2,a10,a10,a7,a8,a8,a4,a5,a6),
inference(paramodulation,[],['49','67']) ).
cnf('69',plain,
tuple(a1,a10,a8,a6,a7,a2,a8,a4,a5) != tuple(a2,a10,a10,a7,a8,a8,a4,a5,a6),
inference(simplify,[],['68','49']) ).
cnf('70',plain,
tuple(a1,a10,a8,a6,a7,a2,a8,a4,a5) != tuple(a2,a10,a10,a7,a8,a8,a4,a5,a8),
inference(paramodulation,[],['64','69']) ).
cnf('71',plain,
a5 = product(a4,a10),
inference(paramodulation,[],['56','16']) ).
cnf('72',plain,
a5 = a8,
inference(simplify,[then_simplify],['71','61','60','9']) ).
cnf('73',plain,
$false,
inference(simplify,[then_simplify],['70','63','60','64','45','61','56','61','61','72','56','61','60','60','45','61','61','72']) ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.12/0.13 % Problem : TOP049-1 : TPTP v8.1.2. Released v8.1.0.
% 0.12/0.13 % Command : gkc %s
% 0.13/0.35 % Computer : n011.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 : Sat Aug 26 23:22:54 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: 21
% 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},
% 0.21/0.40 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.21/0.40 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.21/0.40 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.21/0.40 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "sine":1},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "sine":1, "rewrite":0},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "sine":1, "weight_select_ratio":2},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "sine":2},
% 0.21/0.40 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "sine":2},
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% 0.21/0.40 {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
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% 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},
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% 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},
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% 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},
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% 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 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
% 0.21/0.41 **** run 6 fork 5 starts with strategy
% 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}
% 0.21/0.51
% 0.21/0.51
% 0.21/0.51 result: proof found
% 0.21/0.51 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.21/0.51 by run 6 fork 5 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20}
% 0.21/0.51 % SZS status Unsatisfiable for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.21/0.51
% 0.21/0.51 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% See solution above
% 0.21/0.51
% 0.21/0.51 run 6 fork 5 statistics:
% 0.21/0.51 ----------------------------------
% 0.21/0.51 this run seconds: 0.031831
% 0.21/0.51 total seconds: 0.061997
% 0.21/0.51 stat_given_used: 115
% 0.21/0.51 stat_given_used_at_endgame: 0
% 0.21/0.51 stat_given_candidates: 525
% 0.21/0.51 stat_given_candidates_at_endgame: 0
% 0.21/0.51 stat_given_candidates_h: 0
% 0.21/0.51 stat_binres_derived_cl: 0
% 0.21/0.51 stat_binres_derived_cl_h: 0
% 0.21/0.51 stat_factor_derived_cl: 0
% 0.21/0.51 stat_para_derived_cl: 2083
% 0.21/0.51 stat_tautologies_discarded: 0
% 0.21/0.51 stat_forward_subsumed: 151
% 0.21/0.51 stat_derived_cut: 1
% 0.21/0.51 stat_derived_rewritten: 90
% 0.21/0.51 stat_weight_discarded_building: 0
% 0.21/0.51 stat_weight_discarded_cl: 0
% 0.21/0.51 stat_internlimit_discarded_cl: 0
% 0.21/0.51 stat_simplified: 90 simplified 0 derived 0 given
% 0.21/0.51 stat_kept_cl: 1715
% 0.21/0.51 stat_built_cl: 2034
% 0.21/0.51 stat_hyperres_partial_cl: 0
% 0.21/0.51 stat_made_rewriters: 107
% 0.21/0.51 stat_backward_subsumed: 0
% 0.21/0.51 stat_propagated_subsumed: 0
% 0.21/0.51 stat_clsubs_attempted: 334
% 0.21/0.51 stat_clsubs_fact_groundunit_found: 0
% 0.21/0.51 stat_clsubs_rule_groundunit_found: 61
% 0.21/0.51 stat_clsubs_top_meta_attempted: 2020
% 0.21/0.51 stat_clsubs_top_meta_failed: 1686
% 0.21/0.51 stat_clsubs_top_meta_nonpref_attempted: 2020
% 0.21/0.51 stat_clsubs_top_meta_nonpref_succeeded: 392
% 0.21/0.51 stat_clsubs_top_meta_pref_attempted: 392
% 0.21/0.51 stat_clsubs_top_meta_pref1_succeeded: 385
% 0.21/0.51 stat_clsubs_top_meta_pref2_succeeded: 358
% 0.21/0.51 stat_clsubs_top_meta_pref3_succeeded: 334
% 0.21/0.51 stat_clsubs_top_meta_pref_succeeded: 334
% 0.21/0.51 stat_clsubs_meta_attempted: 334
% 0.21/0.51 stat_clsubs_meta_failed: 190
% 0.21/0.51 stat_clsubs_predsymbs_attempted: 0
% 0.21/0.51 stat_clsubs_unit_attempted: 334
% 0.21/0.51 stat_clsubs_full_attempted: 0
% 0.21/0.51 stat_forwardsubs_attempted: 1866
% 0.21/0.51 stat_lit_hash_added: 1813
% 0.21/0.51 stat_lit_hash_computed: 4006
% 0.21/0.51 stat_lit_hash_match_found: 218
% 0.21/0.51 stat_lit_hash_match_miss: 3779
% 0.21/0.51 stat_lit_hash_cut_ok: 0
% 0.21/0.51 stat_lit_strong_cut_ok: 0
% 0.21/0.51 stat_lit_hash_subsume_ok: 151
% 0.21/0.51 clqueue els 10000000 used 1
% 0.21/0.51 clactive els 10000000 used 116
% 0.21/0.51 clactivesubsume els 10000000 used 187
% 0.21/0.51 queue_termbuf els 200000000 used 101903
% 0.21/0.51 hyper_termbuf els 100000000 used 1
% 0.21/0.51 active_termbuf els 100000000 used 3444
% 0.21/0.51 varstack els 5000 last used 1
% 0.21/0.51 given_termbuf els 10000000 last used 1
% 0.21/0.51 simplified_termbuf els 10000000 last used 1
% 0.21/0.51 derived_termbuf els 10000000 last used 3
% 0.21/0.51 wr_mallocs: 8338
% 0.21/0.51 wr_callocs: 21
% 0.21/0.51 wr_reallocs: 235
% 0.21/0.51 wr_frees: 2
% 0.21/0.51 wr_malloc_bytes: 4162870788
% 0.21/0.51 wr_calloc_bytes: 112065536
% 0.21/0.51 wr_realloc_bytes: 51936
% 0.21/0.51 wr_realloc_freebytes: 0
% 0.21/0.51 ----------------------------------
%------------------------------------------------------------------------------