TSTP Solution File: BOO013-4 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : BOO013-4 : TPTP v8.1.2. Released v1.1.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n004.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 : Wed Aug 30 18:08:33 EDT 2023
% Result : Unsatisfiable 0.20s 0.46s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : ERROR: Analysing output (Could not find formula named '$inc_additive_inverse1')
% Comments :
%------------------------------------------------------------------------------
cnf('1',plain,
add(X,inverse(X)) = multiplicative_identity,
inference(cnf_transformation,[],['$inc_additive_inverse1']) ).
cnf('2',plain,
multiply(a,b) = additive_identity,
inference(cnf_transformation,[],[b_an_additive_identity]) ).
cnf('3',plain,
multiply(X,add(Y,Z)) = add(multiply(X,Y),multiply(X,Z)),
inference(cnf_transformation,[],['$inc_distributivity2']) ).
cnf('4',plain,
multiply(a,add(b,X3)) = add(additive_identity,multiply(a,X3)),
inference(paramodulation,[],['2','3']) ).
cnf('5',plain,
add(X,Y) = add(Y,X),
inference(cnf_transformation,[],['$inc_commutativity_of_add']) ).
cnf('6',plain,
add(X,additive_identity) = X,
inference(cnf_transformation,[],['$inc_additive_id1']) ).
cnf('7',plain,
add(additive_identity,X) = X,
inference(paramodulation,[],['5','6']) ).
cnf('8',plain,
multiply(a,add(b,X)) = multiply(a,X),
inference(simplify,[],['4','7']) ).
cnf('9',plain,
multiply(a,multiplicative_identity) = multiply(a,inverse(b)),
inference(paramodulation,[],['1','8']) ).
cnf('10',plain,
multiply(X,multiplicative_identity) = X,
inference(cnf_transformation,[],['$inc_multiplicative_id1']) ).
cnf('11',plain,
multiply(X,Y) = multiply(Y,X),
inference(cnf_transformation,[],['$inc_commutativity_of_multiply']) ).
cnf('12',plain,
multiply(X,inverse(X)) = additive_identity,
inference(cnf_transformation,[],['$inc_multiplicative_inverse1']) ).
cnf('13',plain,
multiply(inverse(X),X) = additive_identity,
inference(paramodulation,[],['11','12']) ).
cnf('14',plain,
add(a,b) = multiplicative_identity,
inference(cnf_transformation,[],[b_a_multiplicative_identity]) ).
cnf('15',plain,
add(X,multiply(Y,Z)) = multiply(add(X,Y),add(X,Z)),
inference(cnf_transformation,[],['$inc_distributivity1']) ).
cnf('16',plain,
add(a,multiply(X3,b)) = multiply(add(a,X3),multiplicative_identity),
inference(paramodulation,[],['14','15']) ).
cnf('17',plain,
add(a,multiply(X,b)) = add(a,X),
inference(simplify,[],['16','10']) ).
cnf('18',plain,
add(a,additive_identity) = add(a,inverse(b)),
inference(paramodulation,[],['13','17']) ).
cnf('19',plain,
a = add(a,inverse(b)),
inference(simplify,[],['18','6']) ).
cnf('20',plain,
multiply(multiplicative_identity,X) = X,
inference(paramodulation,[],['11','10']) ).
cnf('21',plain,
add(X3,multiply(Y3,inverse(X3))) = multiply(add(X3,Y3),multiplicative_identity),
inference(paramodulation,[],['1','15']) ).
cnf('22',plain,
add(X,multiply(Y,inverse(X))) = add(X,Y),
inference(simplify,[],['21','10']) ).
cnf('23',plain,
add(X3,inverse(X3)) = add(X3,multiplicative_identity),
inference(paramodulation,[],['20','22']) ).
cnf('24',plain,
multiplicative_identity = add(X,multiplicative_identity),
inference(simplify,[],['23','1']) ).
cnf('25',plain,
multiply(X,add(multiplicative_identity,Y)) = add(X,multiply(X,Y)),
inference(paramodulation,[],['10','3']) ).
cnf('26',plain,
multiply(X3,add(multiplicative_identity,inverse(X3))) = add(X3,X3),
inference(paramodulation,[],['22','25']) ).
cnf('27',plain,
multiply(X3,add(multiplicative_identity,inverse(X3))) = add(X3,additive_identity),
inference(paramodulation,[],['12','25']) ).
cnf('28',plain,
multiply(X,add(multiplicative_identity,inverse(X))) = X,
inference(simplify,[],['27','6']) ).
cnf('29',plain,
X = add(X,X),
inference(simplify,[],['26','28']) ).
cnf('30',plain,
add(X3,multiply(X3,Y3)) = multiply(X3,add(X3,Y3)),
inference(paramodulation,[],['29','15']) ).
cnf('31',plain,
multiply(X,add(multiplicative_identity,Y)) = multiply(X,add(X,Y)),
inference(simplify,[],['30','25']) ).
cnf('32',plain,
multiply(X3,multiplicative_identity) = multiply(X3,add(X3,additive_identity)),
inference(paramodulation,[],['6','31']) ).
cnf('33',plain,
X = multiply(X,X),
inference(simplify,[then_simplify],['32','10','6']) ).
cnf('34',plain,
multiply(X3,add(Y3,X3)) = add(multiply(X3,Y3),X3),
inference(paramodulation,[],['33','3']) ).
cnf('35',plain,
multiply(X,add(Y,multiplicative_identity)) = add(multiply(X,Y),X),
inference(paramodulation,[],['10','3']) ).
cnf('36',plain,
multiply(X,add(Y,X)) = multiply(X,add(Y,multiplicative_identity)),
inference(simplify,[],['34','35']) ).
cnf('37',plain,
multiply(X3,add(Y3,X3)) = multiply(X3,multiplicative_identity),
inference(paramodulation,[],['24','36']) ).
cnf('38',plain,
multiply(X,add(Y,X)) = X,
inference(simplify,[],['37','10']) ).
cnf('39',plain,
multiply(add(X,Y),Y) = Y,
inference(paramodulation,[],['38','11']) ).
cnf('40',plain,
multiply(a,inverse(b)) = inverse(b),
inference(paramodulation,[],['19','39']) ).
cnf('41',plain,
a = inverse(b),
inference(simplify,[then_simplify],['9','10','40']) ).
cnf('42',plain,
multiply(X3,add(inverse(X3),Y3)) = add(additive_identity,multiply(X3,Y3)),
inference(paramodulation,[],['12','3']) ).
cnf('43',plain,
multiply(X,add(inverse(X),Y)) = multiply(X,Y),
inference(simplify,[],['42','7']) ).
cnf('44',plain,
multiply(X3,multiplicative_identity) = multiply(X3,inverse(inverse(X3))),
inference(paramodulation,[],['1','43']) ).
cnf('45',plain,
add(X,multiply(inverse(X),Y)) = multiply(multiplicative_identity,add(X,Y)),
inference(paramodulation,[],['1','15']) ).
cnf('46',plain,
add(X3,additive_identity) = multiply(multiplicative_identity,add(X3,inverse(inverse(X3)))),
inference(paramodulation,[],['12','45']) ).
cnf('47',plain,
X = multiply(multiplicative_identity,add(X,inverse(inverse(X)))),
inference(simplify,[],['46','6']) ).
cnf('48',plain,
X = add(X,inverse(inverse(X))),
inference(paramodulation,[],['20','47']) ).
cnf('49',plain,
multiply(X,inverse(inverse(X))) = inverse(inverse(X)),
inference(paramodulation,[],['48','39']) ).
cnf('50',plain,
X = inverse(inverse(X)),
inference(simplify,[then_simplify],['44','10','49']) ).
cnf('51',plain,
b != inverse(a),
inference(cnf_transformation,[],[prove_a_inverse_is_b]) ).
cnf('52',plain,
$false,
inference(paramodulation,[then_simplify],['41','50','51']) ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12 % Problem : BOO013-4 : TPTP v8.1.2. Released v1.1.0.
% 0.00/0.13 % Command : gkc %s
% 0.13/0.34 % Computer : n004.cluster.edu
% 0.13/0.34 % Model : x86_64 x86_64
% 0.13/0.34 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.34 % Memory : 8042.1875MB
% 0.13/0.34 % OS : Linux 3.10.0-693.el7.x86_64
% 0.13/0.34 % CPULimit : 300
% 0.13/0.34 % WCLimit : 300
% 0.13/0.34 % DateTime : Sun Aug 27 07:43:52 EDT 2023
% 0.13/0.34 % CPUTime :
% 0.20/0.39
% 0.20/0.39 input clause set summed statistics:
% 0.20/0.39 ----------------------------------
% 0.20/0.39 in_clause_count: 11
% 0.20/0.39 in_rule_clause_count: 11
% 0.20/0.39 in_fact_clause_count: 0
% 0.20/0.39 in_answer_clause_count: 0
% 0.20/0.39 in_ground_clause_count: 3
% 0.20/0.39 in_unit_clause_count: 11
% 0.20/0.39 in_horn_clause_count: 11
% 0.20/0.39 in_pos_clause_count: 10
% 0.20/0.39 in_neg_clause_count: 1
% 0.20/0.39 in_poseq_clause_count: 10
% 0.20/0.39 in_negeq_clause_count: 1
% 0.20/0.39 in_unitposeq_clause_count: 10
% 0.20/0.39 in_chain_clause_count: 0
% 0.20/0.39 in_min_length: 1
% 0.20/0.39 in_max_length: 1
% 0.20/0.39 in_min_depth: 2
% 0.20/0.39 in_max_depth: 3
% 0.20/0.39 in_min_size: 4
% 0.20/0.39 in_max_size: 13
% 0.20/0.39 in_min_vars: 0
% 0.20/0.39 in_max_vars: 3
% 0.20/0.39 in_extaxiom_count: 8
% 0.20/0.39 in_axiom_count: 0
% 0.20/0.39 in_assumption_count: 2
% 0.20/0.39 in_goal_count: 1
% 0.20/0.39 in_neg_goal_count: 1
% 0.20/0.39 in_pos_goal_count: 0
% 0.20/0.39 in_posunit_goal_count: 0
% 0.20/0.39
% 0.20/0.39 auto guide:
% 0.20/0.39 -----------
% 0.20/0.39 {
% 0.20/0.39 "print":1,
% 0.20/0.39 "print_level": 15,
% 0.20/0.39 "max_size": 0,
% 0.20/0.39 "max_depth": 0,
% 0.20/0.39 "max_length": 0,
% 0.20/0.39 "max_dseconds": 0,
% 0.20/0.39 "runs":[
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.20/0.39 {"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},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.20/0.39 {"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},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0},
% 0.20/0.39 {"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},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.20/0.39 {"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},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "rewrite":0},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20, "rewrite":0},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":2},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 0},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 2},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "reverse_clauselist": 1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 2},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 4},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 6},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 8},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 10},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":10},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":15},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":20},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":20, "weight_select_ratio":2},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.20/0.39 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "sine":1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "sine":1, "rewrite":0},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "sine":1, "weight_select_ratio":2},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "sine":2},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "sine":2},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "sine":1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "sine":3},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "sine":3},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "sine":4},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "sine":4},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "sine":5},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "sine":5},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "sine":1, "depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "sine":1, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 1, "strategy":["unit"], "var_weight":70,"repeat_var_weight":70,"query_preference":1, "sine":1},
% 0.20/0.39
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
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% 0.20/0.39 {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 250,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
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% 0.20/0.39 {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "sine":1},
% 0.20/0.39 {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "sine":1, "rewrite":0},
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% 0.20/0.39 {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "sine":2},
% 0.20/0.39 {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "sine":2},
% 0.20/0.39 {"max_dseconds": 250, "strategy":["unit"], "query_preference": 0, "sine":1},
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% 0.20/0.39 {"max_dseconds": 250, "strategy":["unit"], "query_preference": 1, "sine":1, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 250, "strategy":["unit"], "var_weight":70,"repeat_var_weight":70,"query_preference":1, "sine":1},
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% 0.20/0.39 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
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% 0.20/0.39 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "rewrite":0},
% 0.20/0.39 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20, "rewrite":0},
% 0.20/0.39 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":2},
% 0.20/0.39 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 0},
% 0.20/0.39 {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 1},
% 0.20/0.39 {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 2},
% 0.20/0.39 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "reverse_clauselist": 1},
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% 0.20/0.39 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 4},
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% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.20/0.39 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4},
% 0.20/0.39 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "sine":1},
% 0.20/0.39 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "sine":1, "rewrite":0},
% 0.20/0.39 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "sine":1, "weight_select_ratio":2},
% 0.20/0.39 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "sine":2},
% 0.20/0.39 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "sine":2},
% 0.20/0.39 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "sine":1},
% 0.20/0.39 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "sine":1, "depth_penalty":50},
% 0.20/0.39 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "sine":1, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds": 1250, "strategy":["unit"], "var_weight":70,"repeat_var_weight":70,"query_preference":1, "sine":1}
% 0.20/0.39
% 0.20/0.39 ]}
% 0.20/0.39
% 0.20/0.39
% 0.20/0.39 **** run 1 fork 0 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.20/0.39
% 0.20/0.39 **** run 2 fork 1 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["unit"],"query_preference":0}
% 0.20/0.39
% 0.20/0.39 **** run 3 fork 2 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.20/0.39
% 0.20/0.39 **** run 4 fork 3 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20,"depth_penalty":100}
% 0.20/0.39
% 0.20/0.39 **** run 5 fork 4 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":20,"repeat_var_weight":1,"depth_penalty":100}
% 0.20/0.39
% 0.20/0.39 **** run 6 fork 5 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20}
% 0.20/0.39
% 0.20/0.39 **** run 8 fork 7 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20,"depth_penalty":50}
% 0.20/0.39
% 0.20/0.39 **** run 7 fork 6 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20}
% 0.20/0.46
% 0.20/0.46
% 0.20/0.46 result: proof found
% 0.20/0.46 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.46 by run 7 fork 6 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20}
% 0.20/0.46 % SZS status Unsatisfiable for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.46
% 0.20/0.46 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% See solution above
% 0.20/0.46
% 0.20/0.46 run 7 fork 6 statistics:
% 0.20/0.46 ----------------------------------
% 0.20/0.46 this run seconds: 0.046062
% 0.20/0.46 total seconds: 0.069688
% 0.20/0.46 stat_given_used: 103
% 0.20/0.46 stat_given_used_at_endgame: 0
% 0.20/0.46 stat_given_candidates: 749
% 0.20/0.46 stat_given_candidates_at_endgame: 0
% 0.20/0.46 stat_given_candidates_h: 0
% 0.20/0.46 stat_binres_derived_cl: 0
% 0.20/0.46 stat_binres_derived_cl_h: 0
% 0.20/0.46 stat_factor_derived_cl: 0
% 0.20/0.46 stat_para_derived_cl: 5388
% 0.20/0.46 stat_tautologies_discarded: 0
% 0.20/0.46 stat_forward_subsumed: 1167
% 0.20/0.46 stat_derived_cut: 1
% 0.20/0.46 stat_derived_rewritten: 42
% 0.20/0.46 stat_weight_discarded_building: 0
% 0.20/0.46 stat_weight_discarded_cl: 0
% 0.20/0.46 stat_internlimit_discarded_cl: 0
% 0.20/0.46 stat_simplified: 42 simplified 0 derived 0 given
% 0.20/0.46 stat_kept_cl: 3738
% 0.20/0.46 stat_built_cl: 3986
% 0.20/0.46 stat_hyperres_partial_cl: 0
% 0.20/0.46 stat_made_rewriters: 97
% 0.20/0.46 stat_backward_subsumed: 0
% 0.20/0.46 stat_propagated_subsumed: 0
% 0.20/0.46 stat_clsubs_attempted: 795
% 0.20/0.46 stat_clsubs_fact_groundunit_found: 0
% 0.20/0.46 stat_clsubs_rule_groundunit_found: 1
% 0.20/0.46 stat_clsubs_top_meta_attempted: 4176
% 0.20/0.46 stat_clsubs_top_meta_failed: 3381
% 0.20/0.46 stat_clsubs_top_meta_nonpref_attempted: 4176
% 0.20/0.46 stat_clsubs_top_meta_nonpref_succeeded: 1513
% 0.20/0.46 stat_clsubs_top_meta_pref_attempted: 1513
% 0.20/0.46 stat_clsubs_top_meta_pref1_succeeded: 1513
% 0.20/0.46 stat_clsubs_top_meta_pref2_succeeded: 898
% 0.20/0.46 stat_clsubs_top_meta_pref3_succeeded: 795
% 0.20/0.46 stat_clsubs_top_meta_pref_succeeded: 795
% 0.20/0.46 stat_clsubs_meta_attempted: 795
% 0.20/0.46 stat_clsubs_meta_failed: 2
% 0.20/0.46 stat_clsubs_predsymbs_attempted: 0
% 0.20/0.46 stat_clsubs_unit_attempted: 795
% 0.20/0.46 stat_clsubs_full_attempted: 0
% 0.20/0.46 stat_forwardsubs_attempted: 4906
% 0.20/0.46 stat_lit_hash_added: 3774
% 0.20/0.46 stat_lit_hash_computed: 8819
% 0.20/0.46 stat_lit_hash_match_found: 1169
% 0.20/0.46 stat_lit_hash_match_miss: 7657
% 0.20/0.46 stat_lit_hash_cut_ok: 1
% 0.20/0.46 stat_lit_strong_cut_ok: 0
% 0.20/0.46 stat_lit_hash_subsume_ok: 1167
% 0.20/0.46 clqueue els 10000000 used 1
% 0.20/0.46 clactive els 10000000 used 104
% 0.20/0.46 clactivesubsume els 10000000 used 469
% 0.20/0.46 queue_termbuf els 200000000 used 273390
% 0.20/0.46 hyper_termbuf els 100000000 used 1
% 0.20/0.46 active_termbuf els 100000000 used 3332
% 0.20/0.46 varstack els 5000 last used 1
% 0.20/0.46 given_termbuf els 10000000 last used 1
% 0.20/0.46 simplified_termbuf els 10000000 last used 1
% 0.20/0.46 derived_termbuf els 10000000 last used 29
% 0.20/0.46 wr_mallocs: 14601
% 0.20/0.46 wr_callocs: 21
% 0.20/0.46 wr_reallocs: 635
% 0.20/0.46 wr_frees: 2
% 0.20/0.46 wr_malloc_bytes: 4163100260
% 0.20/0.46 wr_calloc_bytes: 112065536
% 0.20/0.46 wr_realloc_bytes: 112240
% 0.20/0.46 wr_realloc_freebytes: 0
% 0.20/0.46 ----------------------------------
%------------------------------------------------------------------------------