TSTP Solution File: LCL146-1 by GKC---0.8
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%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : LCL146-1 : TPTP v8.1.2. Released v1.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n021.cluster.edu
% Model : x86_64 x86_64
% CPU : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory : 8042.1875MB
% OS : Linux 3.10.0-693.el7.x86_64
% CPULimit : 300s
% WCLimit : 300s
% DateTime : Thu Aug 31 07:37:28 EDT 2023
% Result : Unsatisfiable 0.20s 0.48s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : ERROR: Analysing output (Could not find formula named '$inc_big_hat_definition')
% Comments :
%------------------------------------------------------------------------------
cnf('1',plain,
big_hat(X,Y) = not(big_V(not(X),not(Y))),
inference(cnf_transformation,[],['$inc_big_hat_definition']) ).
cnf('2',plain,
( implies(X,Y) = truth
| ~ ordered(X,Y) ),
inference(cnf_transformation,[],['$inc_partial_order_definition1']) ).
cnf('3',plain,
big_V(X,Y) = implies(implies(X,Y),Y),
inference(cnf_transformation,[],['$inc_big_V_definition']) ).
cnf('4',plain,
( big_V(X3,Y3) = implies(truth,Y3)
| ~ ordered(X3,Y3) ),
inference(paramodulation,[],['2','3']) ).
cnf('5',plain,
implies(truth,X) = X,
inference(cnf_transformation,[],['$inc_wajsberg_1']) ).
cnf('6',plain,
( big_V(X,Y) = Y
| ~ ordered(X,Y) ),
inference(simplify,[],['4','5']) ).
cnf('7',plain,
implies(implies(not(X),not(Y)),implies(Y,X)) = truth,
inference(cnf_transformation,[],['$inc_wajsberg_4']) ).
cnf('8',plain,
implies(implies(not(X),not(truth)),X) = truth,
inference(paramodulation,[],['5','7']) ).
cnf('9',plain,
big_V(implies(not(X3),not(truth)),X3) = implies(truth,X3),
inference(paramodulation,[],['8','3']) ).
cnf('10',plain,
big_V(implies(not(X),not(truth)),X) = X,
inference(simplify,[],['9','5']) ).
cnf('11',plain,
implies(implies(X0,X1),X1) = implies(implies(X1,X0),X0),
inference(cnf_transformation,[],['$inc_wajsberg_3']) ).
cnf('12',plain,
big_V(X,Y) = big_V(Y,X),
inference(simplify,[then_simplify],['11','3','3']) ).
cnf('13',plain,
X = big_V(X,implies(not(X),not(truth))),
inference(paramodulation,[],['10','12']) ).
cnf('14',plain,
implies(implies(X,Y),implies(implies(Y,Z),implies(X,Z))) = truth,
inference(cnf_transformation,[],['$inc_wajsberg_2']) ).
cnf('15',plain,
implies(X3,implies(implies(X3,Y3),implies(truth,Y3))) = truth,
inference(paramodulation,[],['5','14']) ).
cnf('16',plain,
implies(X,big_V(X,Y)) = truth,
inference(simplify,[then_simplify],['15','5','3']) ).
cnf('17',plain,
truth = big_V(truth,X),
inference(paramodulation,[],['16','5']) ).
cnf('18',plain,
truth = big_V(X,truth),
inference(paramodulation,[],['17','12']) ).
cnf('19',plain,
implies(X,truth) = truth,
inference(paramodulation,[],['18','16']) ).
cnf('20',plain,
implies(truth,implies(implies(truth,X3),implies(Y3,X3))) = truth,
inference(paramodulation,[],['19','14']) ).
cnf('21',plain,
implies(X,implies(Y,X)) = truth,
inference(simplify,[then_simplify],['20','5','5']) ).
cnf('22',plain,
implies(truth,implies(implies(implies(X3,Y3),Z3),implies(Y3,Z3))) = truth,
inference(paramodulation,[],['21','14']) ).
cnf('23',plain,
implies(implies(implies(X,Y),Z),implies(Y,Z)) = truth,
inference(simplify,[],['22','5']) ).
cnf('24',plain,
implies(truth,implies(not(truth),X3)) = truth,
inference(paramodulation,[],['8','23']) ).
cnf('25',plain,
implies(not(truth),X) = truth,
inference(simplify,[],['24','5']) ).
cnf('26',plain,
big_V(not(truth),X3) = implies(truth,X3),
inference(paramodulation,[],['25','3']) ).
cnf('27',plain,
big_V(not(truth),X) = X,
inference(simplify,[],['26','5']) ).
cnf('28',plain,
big_V(X,not(truth)) = X,
inference(paramodulation,[],['27','12']) ).
cnf('29',plain,
implies(truth,implies(not(X3),implies(X3,Y3))) = truth,
inference(paramodulation,[],['7','23']) ).
cnf('30',plain,
implies(not(X),implies(X,Y)) = truth,
inference(simplify,[],['29','5']) ).
cnf('31',plain,
implies(not(implies(X,Y)),big_V(X,Y)) = truth,
inference(paramodulation,[],['3','30']) ).
cnf('32',plain,
implies(not(implies(X,not(truth))),X) = truth,
inference(paramodulation,[],['28','31']) ).
cnf('33',plain,
implies(truth,implies(X3,implies(not(X3),not(truth)))) = truth,
inference(paramodulation,[],['32','7']) ).
cnf('34',plain,
implies(X,implies(not(X),not(truth))) = truth,
inference(simplify,[],['33','5']) ).
cnf('35',plain,
( implies(X,Y) != truth
| ordered(X,Y) ),
inference(cnf_transformation,[],['$inc_partial_order_definition2']) ).
cnf('36',plain,
ordered(X3,implies(not(X3),not(truth))),
inference(resolution,[],['34','35']) ).
cnf('37',plain,
X = implies(not(X),not(truth)),
inference(paramodulation,[then_simplify],['6','13','36']) ).
cnf('38',plain,
big_V(not(X3),not(truth)) = implies(X3,not(truth)),
inference(paramodulation,[],['37','3']) ).
cnf('39',plain,
not(X) = implies(X,not(truth)),
inference(simplify,[],['38','28']) ).
cnf('40',plain,
X = not(not(X)),
inference(paramodulation,[],['39','37']) ).
cnf('41',plain,
big_V(not(X),not(Y)) = not(big_hat(X,Y)),
inference(paramodulation,[],['1','40']) ).
cnf('42',plain,
not(big_hat(x,y)) != big_V(not(x),not(y)),
inference(cnf_transformation,[],[prove_wajsberg_theorem]) ).
cnf('43',plain,
$false,
inference(paramodulation,[],['41','42']) ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.13 % Problem : LCL146-1 : TPTP v8.1.2. Released v1.0.0.
% 0.00/0.13 % Command : gkc %s
% 0.17/0.34 % Computer : n021.cluster.edu
% 0.17/0.34 % Model : x86_64 x86_64
% 0.17/0.34 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.17/0.34 % Memory : 8042.1875MB
% 0.17/0.34 % OS : Linux 3.10.0-693.el7.x86_64
% 0.17/0.35 % CPULimit : 300
% 0.17/0.35 % WCLimit : 300
% 0.17/0.35 % DateTime : Fri Aug 25 01:10:10 EDT 2023
% 0.17/0.35 % CPUTime :
% 0.20/0.40
% 0.20/0.40 input clause set summed statistics:
% 0.20/0.40 ----------------------------------
% 0.20/0.40 in_clause_count: 9
% 0.20/0.40 in_rule_clause_count: 9
% 0.20/0.40 in_fact_clause_count: 0
% 0.20/0.40 in_answer_clause_count: 0
% 0.20/0.40 in_ground_clause_count: 1
% 0.20/0.40 in_unit_clause_count: 7
% 0.20/0.40 in_horn_clause_count: 9
% 0.20/0.40 in_pos_clause_count: 6
% 0.20/0.40 in_neg_clause_count: 1
% 0.20/0.40 in_poseq_clause_count: 7
% 0.20/0.40 in_negeq_clause_count: 2
% 0.20/0.40 in_unitposeq_clause_count: 6
% 0.20/0.40 in_chain_clause_count: 0
% 0.20/0.40 in_min_length: 1
% 0.20/0.40 in_max_length: 2
% 0.20/0.40 in_min_depth: 2
% 0.20/0.40 in_max_depth: 4
% 0.20/0.40 in_min_size: 5
% 0.20/0.40 in_max_size: 13
% 0.20/0.40 in_min_vars: 0
% 0.20/0.40 in_max_vars: 3
% 0.20/0.40 in_extaxiom_count: 8
% 0.20/0.40 in_axiom_count: 0
% 0.20/0.40 in_assumption_count: 0
% 0.20/0.40 in_goal_count: 1
% 0.20/0.40 in_neg_goal_count: 1
% 0.20/0.40 in_pos_goal_count: 0
% 0.20/0.40 in_posunit_goal_count: 0
% 0.20/0.40
% 0.20/0.40 auto guide:
% 0.20/0.40 -----------
% 0.20/0.40 {
% 0.20/0.40 "print":1,
% 0.20/0.40 "print_level": 15,
% 0.20/0.40 "max_size": 0,
% 0.20/0.40 "max_depth": 0,
% 0.20/0.40 "max_length": 0,
% 0.20/0.40 "max_dseconds": 0,
% 0.20/0.40 "runs":[
% 0.20/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.40 {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["unit","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "weight_select_ratio":20},
% 0.20/0.40 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.40 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.40 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "max_size":30, "max_depth":10, "max_weight":300, "weight_select_ratio":1, "rewrite":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.40 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.20/0.40 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.40 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "rewrite":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "rewrite":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.20/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.20/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "length_penalty":100},
% 0.20/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":3},
% 0.20/0.40 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":30, "depth_penalty":100},
% 0.20/0.40 {"max_dseconds":1, "strategy":["negative_pref", "posunitpara"], "query_preference":1, "max_depth":2, "depth_penalty":50, "length_penalty":100},
% 0.20/0.40 {"max_dseconds":1, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.20/0.40 {"weight_select_ratio":100, "query_preference":1, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "max_depth":2},
% 0.20/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.40 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "weight_select_ratio":1, "query_preference":0},
% 0.20/0.40 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":0, "strategy":["query_focus", "posunitpara"], "max_dseconds":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":2},
% 0.20/0.40 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.40 {"var_weight":70, "repeat_var_weight":70, "rewrite":0, "length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["hardness_pref", "max_weight"], "max_dseconds":1},
% 0.20/0.40 {"max_depth":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.20/0.40 {"depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":0, "depth_penalty":50, "length_penalty":100},
% 0.20/0.40 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":1},
% 0.20/0.40 {"weight_select_ratio":100, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":1},
% 0.20/0.40 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.20/0.40 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.20/0.40 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "max_depth":2},
% 0.20/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "equality":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.20/0.40 {"var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["positive_pref"], "max_dseconds":1},
% 0.20/0.40 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["query_focus", "posunitpara"], "query_preference":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.40 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.40 {"depth_penalty":50, "query_preference":1, "strategy":["hardness_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.20/0.40 {"rewrite":0, "depth_penalty":50, "query_preference":1, "strategy":["query_focus", "hornpref"], "max_dseconds":1},
% 0.20/0.40 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "length_penalty":100, "query_preference":1, "strategy":["query_focus", "prohibit_nested_para"], "max_dseconds":1},
% 0.20/0.40 {"query_preference":1, "strategy":["unit", "max_weight"], "max_dseconds":1},
% 0.20/0.40 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "weight_select_ratio":30, "depth_penalty":100, "length_penalty":100},
% 0.20/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.20/0.40 {"length_penalty":100, "query_preference":1, "strategy":["positive_pref", "posunitpara"], "max_dseconds":1},
% 0.20/0.40 {"weight_select_ratio":100, "rewrite":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.20/0.40
% 0.20/0.40 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.40 {"max_dseconds":10, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":10, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.40 {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":10, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":10, "strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":10, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":10, "strategy":["unit","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":10, "strategy":["hardness_pref", "posunitpara"], "query_preference":0},
% 0.20/0.40 {"max_dseconds":10, "strategy":["negative_pref"], "weight_select_ratio":20},
% 0.20/0.40 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.40 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.40 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.40 {"max_dseconds":10, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.20/0.40 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.20/0.40 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
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% 0.20/0.40 {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para","prohibit_deep_para"],"query_preference":0}
% 0.20/0.40
% 0.20/0.40 **** run 8 fork 7 starts with strategy
% 0.20/0.40 {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"],"query_preference":0}
% 0.20/0.48
% 0.20/0.48
% 0.20/0.48 result: proof found
% 0.20/0.48 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.48 by run 6 fork 5 strategy {"max_dseconds":1,"strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"],"query_preference":0}
% 0.20/0.48 % SZS status Unsatisfiable for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.48
% 0.20/0.48 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% See solution above
% 0.20/0.48
% 0.20/0.48 run 6 fork 5 statistics:
% 0.20/0.48 ----------------------------------
% 0.20/0.48 this run seconds: 0.050683
% 0.20/0.48 total seconds: 0.080938
% 0.20/0.48 stat_given_used: 122
% 0.20/0.48 stat_given_used_at_endgame: 0
% 0.20/0.48 stat_given_candidates: 769
% 0.20/0.48 stat_given_candidates_at_endgame: 0
% 0.20/0.48 stat_given_candidates_h: 0
% 0.20/0.48 stat_binres_derived_cl: 74
% 0.20/0.48 stat_binres_derived_cl_h: 0
% 0.20/0.48 stat_factor_derived_cl: 0
% 0.20/0.48 stat_para_derived_cl: 4831
% 0.20/0.48 stat_tautologies_discarded: 2
% 0.20/0.48 stat_forward_subsumed: 896
% 0.20/0.48 stat_derived_cut: 42
% 0.20/0.48 stat_derived_rewritten: 57
% 0.20/0.48 stat_weight_discarded_building: 0
% 0.20/0.48 stat_weight_discarded_cl: 0
% 0.20/0.48 stat_internlimit_discarded_cl: 0
% 0.20/0.48 stat_simplified: 57 simplified 0 derived 0 given
% 0.20/0.48 stat_kept_cl: 2996
% 0.20/0.48 stat_built_cl: 3297
% 0.20/0.48 stat_hyperres_partial_cl: 0
% 0.20/0.48 stat_made_rewriters: 106
% 0.20/0.48 stat_backward_subsumed: 0
% 0.20/0.48 stat_propagated_subsumed: 0
% 0.20/0.48 stat_clsubs_attempted: 886
% 0.20/0.48 stat_clsubs_fact_groundunit_found: 0
% 0.20/0.48 stat_clsubs_rule_groundunit_found: 1
% 0.20/0.48 stat_clsubs_top_meta_attempted: 6637
% 0.20/0.48 stat_clsubs_top_meta_failed: 5751
% 0.20/0.48 stat_clsubs_top_meta_nonpref_attempted: 6637
% 0.20/0.48 stat_clsubs_top_meta_nonpref_succeeded: 2200
% 0.20/0.48 stat_clsubs_top_meta_pref_attempted: 2200
% 0.20/0.48 stat_clsubs_top_meta_pref1_succeeded: 2013
% 0.20/0.48 stat_clsubs_top_meta_pref2_succeeded: 1019
% 0.20/0.48 stat_clsubs_top_meta_pref3_succeeded: 886
% 0.20/0.48 stat_clsubs_top_meta_pref_succeeded: 886
% 0.20/0.48 stat_clsubs_meta_attempted: 906
% 0.20/0.48 stat_clsubs_meta_failed: 59
% 0.20/0.48 stat_clsubs_predsymbs_attempted: 0
% 0.20/0.48 stat_clsubs_unit_attempted: 878
% 0.20/0.48 stat_clsubs_full_attempted: 8
% 0.20/0.48 stat_forwardsubs_attempted: 3892
% 0.20/0.48 stat_lit_hash_added: 3530
% 0.20/0.48 stat_lit_hash_computed: 8260
% 0.20/0.49 stat_lit_hash_match_found: 918
% 0.20/0.49 stat_lit_hash_match_miss: 7515
% 0.20/0.49 stat_lit_hash_cut_ok: 21
% 0.20/0.49 stat_lit_strong_cut_ok: 25
% 0.20/0.49 stat_lit_hash_subsume_ok: 896
% 0.20/0.49 clqueue els 10000000 used 1
% 0.20/0.49 clactive els 10000000 used 123
% 0.20/0.49 clactivesubsume els 10000000 used 667
% 0.20/0.49 queue_termbuf els 200000000 used 222522
% 0.20/0.49 hyper_termbuf els 100000000 used 1
% 0.20/0.49 active_termbuf els 100000000 used 4539
% 0.20/0.49 varstack els 5000 last used 1
% 0.20/0.49 given_termbuf els 10000000 last used 1
% 0.20/0.49 simplified_termbuf els 10000000 last used 1
% 0.20/0.49 derived_termbuf els 10000000 last used 48
% 0.20/0.49 wr_mallocs: 11194
% 0.20/0.49 wr_callocs: 21
% 0.20/0.49 wr_reallocs: 482
% 0.20/0.49 wr_frees: 2
% 0.20/0.49 wr_malloc_bytes: 4162987508
% 0.20/0.49 wr_calloc_bytes: 112065536
% 0.20/0.49 wr_realloc_bytes: 85896
% 0.20/0.49 wr_realloc_freebytes: 0
% 0.20/0.49 ----------------------------------
%------------------------------------------------------------------------------