%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : SWV098+1 : TPTP v8.1.2. Bugfixed v3.3.0.
% 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 : Thu Aug 31 22:25:08 EDT 2023
% Result : Theorem 0.20s 0.48s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.08/0.13 % Problem : SWV098+1 : TPTP v8.1.2. Bugfixed v3.3.0.
% 0.08/0.13 % 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 : Tue Aug 29 09:00:56 EDT 2023
% 0.13/0.35 % CPUTime :
% 0.20/0.41
% 0.20/0.41 input clause set summed statistics:
% 0.20/0.41 ----------------------------------
% 0.20/0.41 in_clause_count: 373
% 0.20/0.41 in_rule_clause_count: 344
% 0.20/0.41 in_fact_clause_count: 29
% 0.20/0.41 in_answer_clause_count: 0
% 0.20/0.41 in_ground_clause_count: 70
% 0.20/0.41 in_unit_clause_count: 85
% 0.20/0.41 in_horn_clause_count: 222
% 0.20/0.41 in_pos_clause_count: 106
% 0.20/0.41 in_neg_clause_count: 73
% 0.20/0.41 in_poseq_clause_count: 163
% 0.20/0.41 in_negeq_clause_count: 51
% 0.20/0.41 in_unitposeq_clause_count: 50
% 0.20/0.41 in_chain_clause_count: 0
% 0.20/0.41 in_min_length: 1
% 0.20/0.41 in_max_length: 29
% 0.20/0.41 in_min_depth: 1
% 0.20/0.41 in_max_depth: 9
% 0.20/0.41 in_min_size: 2
% 0.20/0.41 in_max_size: 150
% 0.20/0.41 in_min_vars: 0
% 0.20/0.41 in_max_vars: 10
% 0.20/0.41 in_extaxiom_count: 296
% 0.20/0.41 in_axiom_count: 39
% 0.20/0.41 in_assumption_count: 0
% 0.20/0.41 in_goal_count: 38
% 0.20/0.41 in_neg_goal_count: 1
% 0.20/0.41 in_pos_goal_count: 29
% 0.20/0.41 in_posunit_goal_count: 29
% 0.20/0.41
% 0.20/0.41 auto guide:
% 0.20/0.41 -----------
% 0.20/0.41 {
% 0.20/0.41 "print":1,
% 0.20/0.41 "print_level": 15,
% 0.20/0.41 "max_size": 0,
% 0.20/0.41 "max_depth": 0,
% 0.20/0.41 "max_length": 0,
% 0.20/0.41 "max_dseconds": 0,
% 0.20/0.41 "runs":[
% 0.20/0.41 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":1, "sine":3, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":1, "sine":5, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":1, "sine":5, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_unordered_para"], "query_preference":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.41 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.41 {"max_dseconds":1, "sine":3, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.41 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_unordered_para"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.41 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "sine":2},
% 0.20/0.41 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.20/0.41 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.41 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "rewrite":0},
% 0.20/0.41 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_deep_para"], "query_preference":0, "rewrite":0},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "length_penalty":100},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":3},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":30, "depth_penalty":100},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref", "posunitpara"], "query_preference":1, "max_depth":2, "depth_penalty":50, "length_penalty":100},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.41 {"sine":1, "var_weight":70, "repeat_var_weight":70, "query_preference":2, "strategy":["unit"], "max_dseconds":1},
% 0.20/0.41 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":1, "max_size":15},
% 0.20/0.41 {"max_depth":0, "length_penalty":100, "query_preference":2, "strategy":["hardness_pref", "posunitpara"], "max_dseconds":1},
% 0.20/0.41 {"max_depth":0, "length_penalty":100, "query_preference":2, "strategy":["hardness_pref", "posunitpara","prohibit_unordered_para"], "max_dseconds":1},
% 0.20/0.41 {"weight_select_ratio":100, "query_preference":1, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "max_depth":2},
% 0.20/0.41 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.20/0.41 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.20/0.41 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "sine":3, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.41 {"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},
% 0.20/0.41 {"max_depth":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.20/0.41 {"depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":0, "depth_penalty":50, "length_penalty":100},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "max_depth":2},
% 0.20/0.41 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":1, "sine":4, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref", "max_ground_weight"], "query_preference":1},
% 0.20/0.41 {"weight_select_ratio":20, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.41 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.20/0.41 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight"], "max_depth":2, "max_dseconds":1},
% 0.20/0.41 {"depth_penalty":50, "query_preference":1, "strategy":["hardness_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.20/0.41 {"depth_penalty":50, "sine":3, "query_preference":1, "strategy":["hardness_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.20/0.41 {"rewrite":0, "depth_penalty":50, "query_preference":1, "strategy":["query_focus", "hornpref"], "max_dseconds":1},
% 0.20/0.41 {"sine":1, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "depth_penalty":50, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.20/0.41 {"sine":1, "var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["unit"], "max_dseconds":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "weight_select_ratio":30, "depth_penalty":100, "length_penalty":100},
% 0.20/0.41 {"length_penalty":100, "query_preference":1, "strategy":["positive_pref", "posunitpara"], "max_dseconds":1},
% 0.20/0.41 {"sine":2, "query_preference":0, "strategy":["unit"], "max_dseconds":1},
% 0.20/0.41 {"weight_select_ratio":100, "rewrite":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "max_size":30, "max_depth":10, "max_weight":300, "weight_select_ratio":1, "rewrite":0},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":2},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus", "posunitpara"], "query_preference":1, "depth_penalty":50, "length_penalty":100, "sine":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "rewrite":0},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.20/0.41 {"max_dseconds":1, "sine":5, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.20/0.41 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":2},
% 0.20/0.41 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "query_preference":0},
% 0.20/0.41 {"sine":1, "var_weight":70, "repeat_var_weight":70, "length_penalty":100, "query_preference":2, "strategy":["unit"], "max_dseconds":1},
% 0.20/0.41 {"sine":1, "var_weight":70, "repeat_var_weight":70, "length_penalty":100, "query_preference":2, "strategy":["unit"], "max_depth":2, "max_dseconds":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "depth_penalty":100, "sine":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":2, "sine":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0, "sine":2},
% 0.20/0.41 {"depth_penalty":50, "query_preference":2, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.41 {"sine":1, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "sine":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "weight_select_ratio":1, "query_preference":0},
% 0.20/0.41 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":0, "strategy":["query_focus", "posunitpara"], "max_dseconds":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":2},
% 0.20/0.41 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100, "sine":2},
% 0.20/0.41 {"sine":1, "var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":1},
% 0.20/0.41 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":1},
% 0.20/0.41 {"weight_select_ratio":100, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":1},
% 0.20/0.41 {"sine":1, "rewrite":0, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.41 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.20/0.41 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.20/0.41 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":1, "sine":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "equality":0},
% 0.20/0.41 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.20/0.41 {"var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["positive_pref"], "max_dseconds":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["query_focus", "posunitpara"], "query_preference":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.41 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.41 {"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},
% 0.20/0.41 {"query_preference":1, "strategy":["unit", "max_weight"], "max_dseconds":1},
% 0.20/0.41 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.20/0.41 {"sine":1, "rewrite":0, "depth_penalty":50, "query_preference":2, "strategy":["hardness_pref", "posunitpara"], "max_dseconds":1},
% 0.20/0.41 {"sine":2, "weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "depth_penalty":50, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.41 {"depth_penalty":50, "query_preference":2, "strategy":["negative_pref"], "max_dseconds":1, "sine":2},
% 0.20/0.41
% 0.20/0.41 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":10, "sine":3, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":10, "sine":5, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":10, "sine":5, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":10, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.20/0.41 {"max_dseconds":10, "strategy":["hardness_pref","prohibit_unordered_para"], "query_preference":1},
% 0.20/0.41 {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":10, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":1},
% 0.20/0.41 {"max_dseconds":10, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":10, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.41 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.41 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
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% 0.20/0.42 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.42 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "depth_penalty":100, "sine":1},
% 0.20/0.42 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":2, "sine":1},
% 0.20/0.42 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0, "sine":2},
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% 0.20/0.42 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.20/0.42 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.42 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.42 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "sine":1},
% 0.20/0.42 {"max_dseconds":50, "strategy":["unit", "pure_unit"], "weight_select_ratio":1, "query_preference":0},
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% 0.20/0.42 {"max_dseconds":50, "strategy":["hardness_pref", "posunitpara"], "query_preference":1, "sine":1},
% 0.20/0.42 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "equality":0},
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% 0.20/0.42 {"query_preference":1, "strategy":["unit", "max_weight"], "max_dseconds":50},
% 0.20/0.42 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "max_depth":4},
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% 0.20/0.42 {"sine":2, "weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "depth_penalty":50, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.20/0.42 {"depth_penalty":50, "query_preference":2, "strategy":["negative_pref"], "max_dseconds":50, "sine":2},
% 0.20/0.42
% 0.20/0.42 {"max_dseconds":250, "strategy":["hardness_pref"], "query_preference":0},
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% 0.20/0.42 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0, "max_depth":3},
% 0.20/0.42 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":30, "depth_penalty":100},
% 0.20/0.42 {"max_dseconds":250, "strategy":["negative_pref", "posunitpara"], "query_preference":1, "max_depth":2, "depth_penalty":50, "length_penalty":100},
% 0.20/0.42 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0, "max_depth":1},
% 0.20/0.42 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.42 {"sine":1, "var_weight":70, "repeat_var_weight":70, "query_preference":2, "strategy":["unit"], "max_dseconds":250},
% 0.20/0.42 {"max_dseconds":250, "strategy":["unit"], "query_preference":1, "max_depth":2},
% 0.20/0.42
% 0.20/0.42 {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.42 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
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% 0.20/0.42 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
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% 0.20/0.42 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.42 {"max_dseconds":1250, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.42 {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.42 {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":0, "sine":1},
% 0.20/0.42 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0},
% 0.20/0.42 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.42 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1, "sine":2},
% 0.20/0.42 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":1},
% 0.20/0.42 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.20/0.42 {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.42 {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":0, "rewrite":0},
% 0.20/0.42 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.42 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "length_penalty":100},
% 0.20/0.42 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0, "max_depth":3},
% 0.20/0.42 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":30, "depth_penalty":100},
% 0.20/0.42 {"max_dseconds":1250, "strategy":["negative_pref", "posunitpara"], "query_preference":1, "max_depth":2, "depth_penalty":50, "length_penalty":100},
% 0.20/0.42 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0, "max_depth":1},
% 0.20/0.42 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.42 {"sine":1, "var_weight":70, "repeat_var_weight":70, "query_preference":2, "strategy":["unit"], "max_dseconds":1250},
% 0.20/0.42 {"max_dseconds":1250, "strategy":["unit"], "query_preference":1, "max_depth":2}
% 0.20/0.42
% 0.20/0.42 ]}
% 0.20/0.42
% 0.20/0.42
% 0.20/0.42 **** run 1 fork 0 starts with strategy
% 0.20/0.42 {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":0}
% 0.20/0.42
% 0.20/0.42 **** run 2 fork 1 starts with strategy
% 0.20/0.42 {"max_dseconds":1,"sine":3,"strategy":["hardness_pref"],"query_preference":0}
% 0.20/0.42
% 0.20/0.42 **** run 3 fork 2 starts with strategy
% 0.20/0.42 {"max_dseconds":1,"sine":5,"strategy":["hardness_pref"],"query_preference":0}
% 0.20/0.42
% 0.20/0.42 **** run 4 fork 3 starts with strategy
% 0.20/0.42 {"max_dseconds":1,"sine":5,"strategy":["negative_pref"],"query_preference":0}
% 0.20/0.42
% 0.20/0.42 **** run 5 fork 4 starts with strategy
% 0.20/0.42 {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para"],"query_preference":0}
% 0.20/0.42
% 0.20/0.42 **** run 6 fork 5 starts with strategy
% 0.20/0.42
% 0.20/0.42 **** run 7 fork 6 starts with strategy
% 0.20/0.42 {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":1}
% 0.20/0.42 {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":0}
% 0.20/0.42
% 0.20/0.42 **** run 8 fork 7 starts with strategy
% 0.20/0.42 {"max_dseconds":1,"strategy":["hardness_pref","prohibit_unordered_para"],"query_preference":1}
% 0.20/0.47
% 0.20/0.47 fork 3: search finished without proof.
% 0.20/0.48
% 0.20/0.48
% 0.20/0.48 result: proof found
% 0.20/0.48 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.48 by run 7 fork 6 strategy {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":1}
% 0.20/0.48 % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.48
% 0.20/0.48 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.48 fof('quaternion_ds1_inuse_0010_$sk', plain, ((((~(a_select3(z_defuse,$sk2,$sk1) = use) | ~(a_select3(u_defuse,$sk2,$sk1) = use)) & (leq($sk1,minus(plus(n1,pv5),n1)) & (leq($sk2,n2) & (leq(n0,$sk1) & leq(n0,$sk2))))) | (~(a_select2(xinit_noise_defuse,n5) = use) | (~(a_select2(xinit_noise_defuse,n4) = use) | (~(a_select2(xinit_noise_defuse,n3) = use) | (~(a_select2(xinit_noise_defuse,n2) = use) | (~(a_select2(xinit_noise_defuse,n1) = use) | (~(a_select2(xinit_noise_defuse,n0) = use) | (~(a_select2(xinit_mean_defuse,n5) = use) | (~(a_select2(xinit_mean_defuse,n4) = use) | (~(a_select2(xinit_mean_defuse,n3) = use) | (~(a_select2(xinit_mean_defuse,n2) = use) | (~(a_select2(xinit_mean_defuse,n1) = use) | (~(a_select2(xinit_mean_defuse,n0) = use) | (~(a_select2(xinit_defuse,n5) = use) | (~(a_select2(xinit_defuse,n4) = use) | (~(a_select2(xinit_defuse,n3) = use) | (~(a_select3(u_defuse,n2,n0) = use) | (~(a_select3(u_defuse,n1,n0) = use) | (~(a_select3(u_defuse,n0,n0) = use) | (~(a_select2(sigma_defuse,n5) = use) | (~(a_select2(sigma_defuse,n4) = use) | (~(a_select2(sigma_defuse,n3) = use) | (~(a_select2(sigma_defuse,n2) = use) | (~(a_select2(sigma_defuse,n1) = use) | (~(a_select2(sigma_defuse,n0) = use) | (~(a_select2(rho_defuse,n2) = use) | (~(a_select2(rho_defuse,n1) = use) | ~(a_select2(rho_defuse,n0) = use)))))))))))))))))))))))))))) & ((((a_select3(z_defuse,X2,X1) = use) & (a_select3(u_defuse,X2,X1) = use)) | (~leq(X1,minus(pv5,n1)) | (~leq(X2,n2) | (~leq(n0,X1) | ~leq(n0,X2))))) & ((((a_select3(z_defuse,X4,X3) = use) & (a_select3(u_defuse,X4,X3) = use)) | (~leq(X3,pv5) | (~leq(X4,n2) | (~leq(n0,X3) | ~leq(n0,X4))))) & (leq(pv5,minus(n999,n1)) & (leq(n0,pv5) & ((a_select2(xinit_noise_defuse,n5) = use) & ((a_select2(xinit_noise_defuse,n4) = use) & ((a_select2(xinit_noise_defuse,n3) = use) & ((a_select2(xinit_noise_defuse,n2) = use) & ((a_select2(xinit_noise_defuse,n1) = use) & ((a_select2(xinit_noise_defuse,n0) = use) & ((a_select2(xinit_mean_defuse,n5) = use) & ((a_select2(xinit_mean_defuse,n4) = use) & ((a_select2(xinit_mean_defuse,n3) = use) & ((a_select2(xinit_mean_defuse,n2) = use) & ((a_select2(xinit_mean_defuse,n1) = use) & ((a_select2(xinit_mean_defuse,n0) = use) & ((a_select2(xinit_defuse,n5) = use) & ((a_select2(xinit_defuse,n4) = use) & ((a_select2(xinit_defuse,n3) = use) & ((a_select3(u_defuse,n2,n0) = use) & ((a_select3(u_defuse,n1,n0) = use) & ((a_select3(u_defuse,n0,n0) = use) & ((a_select2(sigma_defuse,n5) = use) & ((a_select2(sigma_defuse,n4) = use) & ((a_select2(sigma_defuse,n3) = use) & ((a_select2(sigma_defuse,n2) = use) & ((a_select2(sigma_defuse,n1) = use) & ((a_select2(sigma_defuse,n0) = use) & ((a_select2(rho_defuse,n2) = use) & ((a_select2(rho_defuse,n1) = use) & (a_select2(rho_defuse,n0) = use)))))))))))))))))))))))))))))))),
% 0.20/0.48 inference(negpush_and_skolemize,[],['quaternion_ds1_inuse_0010'])).
% 0.20/0.48 fof('quaternion_ds1_inuse_0010', conjecture, ((((((((((((((((((((((((((((((((a_select2(rho_defuse,n0) = use) & (a_select2(rho_defuse,n1) = use)) & (a_select2(rho_defuse,n2) = use)) & (a_select2(sigma_defuse,n0) = use)) & (a_select2(sigma_defuse,n1) = use)) & (a_select2(sigma_defuse,n2) = use)) & (a_select2(sigma_defuse,n3) = use)) & (a_select2(sigma_defuse,n4) = use)) & (a_select2(sigma_defuse,n5) = use)) & (a_select3(u_defuse,n0,n0) = use)) & (a_select3(u_defuse,n1,n0) = use)) & (a_select3(u_defuse,n2,n0) = use)) & (a_select2(xinit_defuse,n3) = use)) & (a_select2(xinit_defuse,n4) = use)) & (a_select2(xinit_defuse,n5) = use)) & (a_select2(xinit_mean_defuse,n0) = use)) & (a_select2(xinit_mean_defuse,n1) = use)) & (a_select2(xinit_mean_defuse,n2) = use)) & (a_select2(xinit_mean_defuse,n3) = use)) & (a_select2(xinit_mean_defuse,n4) = use)) & (a_select2(xinit_mean_defuse,n5) = use)) & (a_select2(xinit_noise_defuse,n0) = use)) & (a_select2(xinit_noise_defuse,n1) = use)) & (a_select2(xinit_noise_defuse,n2) = use)) & (a_select2(xinit_noise_defuse,n3) = use)) & (a_select2(xinit_noise_defuse,n4) = use)) & (a_select2(xinit_noise_defuse,n5) = use)) & leq(n0,pv5)) & leq(pv5,minus(n999,n1))) & (! [A,B] : ((((leq(n0,A) & leq(n0,B)) & leq(A,n2)) & leq(B,pv5)) => ((a_select3(u_defuse,A,B) = use) & (a_select3(z_defuse,A,B) = use))))) & (! [C,D] : ((((leq(n0,C) & leq(n0,D)) & leq(C,n2)) & leq(D,minus(pv5,n1))) => ((a_select3(u_defuse,C,D) = use) & (a_select3(z_defuse,C,D) = use))))) => ((((((((((((((((((((((((((((a_select2(rho_defuse,n0) = use) & (a_select2(rho_defuse,n1) = use)) & (a_select2(rho_defuse,n2) = use)) & (a_select2(sigma_defuse,n0) = use)) & (a_select2(sigma_defuse,n1) = use)) & (a_select2(sigma_defuse,n2) = use)) & (a_select2(sigma_defuse,n3) = use)) & (a_select2(sigma_defuse,n4) = use)) & (a_select2(sigma_defuse,n5) = use)) & (a_select3(u_defuse,n0,n0) = use)) & (a_select3(u_defuse,n1,n0) = use)) & (a_select3(u_defuse,n2,n0) = use)) & (a_select2(xinit_defuse,n3) = use)) & (a_select2(xinit_defuse,n4) = use)) & (a_select2(xinit_defuse,n5) = use)) & (a_select2(xinit_mean_defuse,n0) = use)) & (a_select2(xinit_mean_defuse,n1) = use)) & (a_select2(xinit_mean_defuse,n2) = use)) & (a_select2(xinit_mean_defuse,n3) = use)) & (a_select2(xinit_mean_defuse,n4) = use)) & (a_select2(xinit_mean_defuse,n5) = use)) & (a_select2(xinit_noise_defuse,n0) = use)) & (a_select2(xinit_noise_defuse,n1) = use)) & (a_select2(xinit_noise_defuse,n2) = use)) & (a_select2(xinit_noise_defuse,n3) = use)) & (a_select2(xinit_noise_defuse,n4) = use)) & (a_select2(xinit_noise_defuse,n5) = use)) & (! [E,F] : ((((leq(n0,E) & leq(n0,F)) & leq(E,n2)) & leq(F,minus(plus(n1,pv5),n1))) => ((a_select3(u_defuse,E,F) = use) & (a_select3(z_defuse,E,F) = use)))))),
% 0.20/0.48 input).
% 0.20/0.48 fof('$inc_sum_plus_base_$sk', plain, (sum(n0,tptp_minus_1,X1) = n0),
% 0.20/0.48 inference(negpush_and_skolemize,[],['$inc_sum_plus_base'])).
% 0.20/0.48 fof('$inc_sum_plus_base', axiom, (! [Body] : (sum(n0,tptp_minus_1,Body) = n0)),
% 0.20/0.48 input).
% 0.20/0.48 fof('$inc_sum_plus_base_float_$sk', plain, (tptp_float_0_0 = sum(n0,tptp_minus_1,X1)),
% 0.20/0.48 inference(negpush_and_skolemize,[],['$inc_sum_plus_base_float'])).
% 0.20/0.48 fof('$inc_sum_plus_base_float', axiom, (! [Body] : (tptp_float_0_0 = sum(n0,tptp_minus_1,Body))),
% 0.20/0.48 input).
% 0.20/0.48 fof('$inc_pred_minus_1_$sk', plain, (minus(X1,n1) = pred(X1)),
% 0.20/0.48 inference(negpush_and_skolemize,[],['$inc_pred_minus_1'])).
% 0.20/0.48 fof('$inc_pred_minus_1', axiom, (! [X] : (minus(X,n1) = pred(X))),
% 0.20/0.48 input).
% 0.20/0.48 fof('$inc_succ_plus_1_l_$sk', plain, (plus(n1,X1) = succ(X1)),
% 0.20/0.48 inference(negpush_and_skolemize,[],['$inc_succ_plus_1_l'])).
% 0.20/0.48 fof('$inc_succ_plus_1_l', axiom, (! [X] : (plus(n1,X) = succ(X))),
% 0.20/0.48 input).
% 0.20/0.48 fof('$inc_pred_succ_$sk', plain, (pred(succ(X1)) = X1),
% 0.20/0.48 inference(negpush_and_skolemize,[],['$inc_pred_succ'])).
% 0.20/0.48 fof('$inc_pred_succ', axiom, (! [X] : (pred(succ(X)) = X)),
% 0.20/0.48 input).
% 0.20/0.48 cnf('1', plain, (a_select3(u_defuse,n2,n0) != use | a_select3(u_defuse,n1,n0) != use | a_select3(u_defuse,n0,n0) != use | a_select2(rho_defuse,n2) != use | a_select2(rho_defuse,n1) != use | a_select2(rho_defuse,n0) != use | a_select2(xinit_mean_defuse,n5) != use | a_select2(xinit_mean_defuse,n4) != use | a_select2(xinit_mean_defuse,n3) != use | a_select2(xinit_mean_defuse,n2) != use | a_select2(xinit_mean_defuse,n1) != use | a_select2(xinit_mean_defuse,n0) != use | a_select2(sigma_defuse,n5) != use | a_select2(sigma_defuse,n4) != use | a_select2(sigma_defuse,n3) != use | a_select2(sigma_defuse,n2) != use | a_select2(sigma_defuse,n1) != use | a_select2(xinit_noise_defuse,n5) != use | a_select2(sigma_defuse,n0) != use | a_select2(xinit_noise_defuse,n4) != use | a_select2(xinit_noise_defuse,n3) != use | a_select2(xinit_noise_defuse,n2) != use | a_select2(xinit_noise_defuse,n1) != use | a_select2(xinit_noise_defuse,n0) != use | a_select2(xinit_defuse,n5) != use | a_select2(xinit_defuse,n4) != use | a_select2(xinit_defuse,n3) != use | leq(n0,$sk2)),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('2', plain, (a_select3(u_defuse,n2,n0) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('3', plain, (a_select3(u_defuse,n1,n0) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('4', plain, (a_select3(u_defuse,n0,n0) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('5', plain, (a_select2(rho_defuse,n2) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('6', plain, (a_select2(rho_defuse,n1) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('7', plain, (a_select2(rho_defuse,n0) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('8', plain, (a_select2(xinit_mean_defuse,n5) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('9', plain, (a_select2(xinit_mean_defuse,n4) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('10', plain, (a_select2(xinit_mean_defuse,n3) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('11', plain, (a_select2(xinit_mean_defuse,n2) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('12', plain, (a_select2(xinit_mean_defuse,n1) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('13', plain, (a_select2(xinit_mean_defuse,n0) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('14', plain, (a_select2(sigma_defuse,n5) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('15', plain, (a_select2(sigma_defuse,n4) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('16', plain, (a_select2(sigma_defuse,n3) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('17', plain, (a_select2(sigma_defuse,n2) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('18', plain, (a_select2(sigma_defuse,n1) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('19', plain, (a_select2(xinit_noise_defuse,n5) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('20', plain, (a_select2(sigma_defuse,n0) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('21', plain, (a_select2(xinit_noise_defuse,n4) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('22', plain, (a_select2(xinit_noise_defuse,n3) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('23', plain, (a_select2(xinit_noise_defuse,n2) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('24', plain, (a_select2(xinit_noise_defuse,n1) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('25', plain, (a_select2(xinit_noise_defuse,n0) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('26', plain, (a_select2(xinit_defuse,n5) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('27', plain, (a_select2(xinit_defuse,n4) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('28', plain, (a_select2(xinit_defuse,n3) = use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('29', plain, (leq(n0,$sk2)),
% 0.20/0.48 inference(simplify,[then_simplify],['1','2','3','4','5','6','7','8','9','10','11','12','13','14','15','16','17','18','19','20','21','22','23','24','25','26','27','28'])).
% 0.20/0.48 cnf('30', plain, (a_select3(u_defuse,X,Y) = use | ~leq(n0,Y) | ~leq(n0,X) | ~leq(Y,pv5) | ~leq(X,n2)),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('31', plain, (~leq($sk2,n2) | a_select3(u_defuse,$sk2,X3) = use | ~leq(n0,X3) | ~leq(X3,pv5)),
% 0.20/0.48 inference(resolution,[],['29','30'])).
% 0.20/0.48 cnf('32', plain, (sum(n0,tptp_minus_1,X0) = n0),
% 0.20/0.48 inference(cnf_transformation,[],['$inc_sum_plus_base_$sk'])).
% 0.20/0.48 cnf('33', plain, (tptp_float_0_0 = sum(n0,tptp_minus_1,X)),
% 0.20/0.48 inference(cnf_transformation,[],['$inc_sum_plus_base_float_$sk'])).
% 0.20/0.48 cnf('34', plain, (tptp_float_0_0 = n0),
% 0.20/0.48 inference(simplify,[],['32','33'])).
% 0.20/0.48 cnf('35', plain, (~leq($sk2,n2) | a_select3(u_defuse,$sk2,X) = use | ~leq(tptp_float_0_0,X) | ~leq(X,pv5)),
% 0.20/0.48 inference(simplify,[],['31','34'])).
% 0.20/0.48 cnf('36', plain, (minus(X,n1) = pred(X)),
% 0.20/0.48 inference(cnf_transformation,[],['$inc_pred_minus_1_$sk'])).
% 0.20/0.48 cnf('37', plain, (plus(n1,X) = succ(X)),
% 0.20/0.48 inference(cnf_transformation,[],['$inc_succ_plus_1_l_$sk'])).
% 0.20/0.48 cnf('38', plain, (a_select3(u_defuse,n2,n0) != use | a_select3(u_defuse,n1,n0) != use | a_select3(u_defuse,n0,n0) != use | a_select2(rho_defuse,n2) != use | a_select2(rho_defuse,n1) != use | a_select2(rho_defuse,n0) != use | a_select2(xinit_mean_defuse,n5) != use | a_select2(xinit_mean_defuse,n4) != use | a_select2(xinit_mean_defuse,n3) != use | a_select2(xinit_mean_defuse,n2) != use | a_select2(xinit_mean_defuse,n1) != use | a_select2(xinit_mean_defuse,n0) != use | a_select2(sigma_defuse,n5) != use | a_select2(sigma_defuse,n4) != use | a_select2(sigma_defuse,n3) != use | a_select2(sigma_defuse,n2) != use | a_select2(sigma_defuse,n1) != use | a_select2(xinit_noise_defuse,n5) != use | a_select2(sigma_defuse,n0) != use | a_select2(xinit_noise_defuse,n4) != use | a_select2(xinit_noise_defuse,n3) != use | a_select2(xinit_noise_defuse,n2) != use | a_select2(xinit_noise_defuse,n1) != use | a_select2(xinit_noise_defuse,n0) != use | a_select2(xinit_defuse,n5) != use | a_select2(xinit_defuse,n4) != use | a_select2(xinit_defuse,n3) != use | leq($sk1,minus(plus(n1,pv5),n1))),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('39', plain, (leq($sk1,minus(plus(n1,pv5),n1))),
% 0.20/0.48 inference(simplify,[then_simplify],['38','2','3','4','5','6','7','8','9','10','11','12','13','14','15','16','17','18','19','20','21','22','23','24','25','26','27','28'])).
% 0.20/0.48 cnf('40', plain, (leq($sk1,minus(succ(pv5),n1))),
% 0.20/0.48 inference(paramodulation,[],['37','39'])).
% 0.20/0.48 cnf('41', plain, (leq($sk1,pred(succ(pv5)))),
% 0.20/0.48 inference(paramodulation,[],['36','40'])).
% 0.20/0.48 cnf('42', plain, (pred(succ(X)) = X),
% 0.20/0.48 inference(cnf_transformation,[],['$inc_pred_succ_$sk'])).
% 0.20/0.48 cnf('43', plain, (leq($sk1,pv5)),
% 0.20/0.48 inference(simplify,[],['41','42'])).
% 0.20/0.48 cnf('44', plain, (a_select3(u_defuse,n2,n0) != use | a_select3(u_defuse,n1,n0) != use | a_select3(u_defuse,n0,n0) != use | a_select2(rho_defuse,n2) != use | a_select2(rho_defuse,n1) != use | a_select2(rho_defuse,n0) != use | a_select2(xinit_mean_defuse,n5) != use | a_select2(xinit_mean_defuse,n4) != use | a_select2(xinit_mean_defuse,n3) != use | a_select2(xinit_mean_defuse,n2) != use | a_select2(xinit_mean_defuse,n1) != use | a_select2(xinit_mean_defuse,n0) != use | a_select2(sigma_defuse,n5) != use | a_select2(sigma_defuse,n4) != use | a_select2(sigma_defuse,n3) != use | a_select2(sigma_defuse,n2) != use | a_select2(sigma_defuse,n1) != use | a_select2(xinit_noise_defuse,n5) != use | a_select2(sigma_defuse,n0) != use | a_select2(xinit_noise_defuse,n4) != use | a_select2(xinit_noise_defuse,n3) != use | a_select2(xinit_noise_defuse,n2) != use | a_select2(xinit_noise_defuse,n1) != use | a_select2(xinit_noise_defuse,n0) != use | a_select2(xinit_defuse,n5) != use | a_select2(xinit_defuse,n4) != use | a_select2(xinit_defuse,n3) != use | leq(n0,$sk1)),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('45', plain, (leq(n0,$sk1)),
% 0.20/0.48 inference(simplify,[then_simplify],['44','2','3','4','5','6','7','8','9','10','11','12','13','14','15','16','17','18','19','20','21','22','23','24','25','26','27','28'])).
% 0.20/0.48 cnf('46', plain, (leq(tptp_float_0_0,$sk1)),
% 0.20/0.48 inference(paramodulation,[],['34','45'])).
% 0.20/0.48 cnf('47', plain, (~leq($sk2,n2) | a_select3(u_defuse,$sk2,$sk1) = use),
% 0.20/0.48 inference(resolution,[then_simplify],['35','43','46'])).
% 0.20/0.48 cnf('48', plain, (a_select3(u_defuse,n2,n0) != use | a_select3(u_defuse,n1,n0) != use | a_select3(u_defuse,n0,n0) != use | a_select2(rho_defuse,n2) != use | a_select2(rho_defuse,n1) != use | a_select2(rho_defuse,n0) != use | a_select2(xinit_mean_defuse,n5) != use | a_select2(xinit_mean_defuse,n4) != use | a_select2(xinit_mean_defuse,n3) != use | a_select2(xinit_mean_defuse,n2) != use | a_select2(xinit_mean_defuse,n1) != use | a_select2(xinit_mean_defuse,n0) != use | a_select2(sigma_defuse,n5) != use | a_select2(sigma_defuse,n4) != use | a_select2(sigma_defuse,n3) != use | a_select2(sigma_defuse,n2) != use | a_select2(sigma_defuse,n1) != use | a_select2(xinit_noise_defuse,n5) != use | a_select2(sigma_defuse,n0) != use | a_select2(xinit_noise_defuse,n4) != use | a_select2(xinit_noise_defuse,n3) != use | a_select2(xinit_noise_defuse,n2) != use | a_select2(xinit_noise_defuse,n1) != use | a_select2(xinit_noise_defuse,n0) != use | a_select2(xinit_defuse,n5) != use | a_select2(xinit_defuse,n4) != use | a_select2(xinit_defuse,n3) != use | leq($sk2,n2)),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('49', plain, (leq($sk2,n2)),
% 0.20/0.48 inference(simplify,[then_simplify],['48','2','3','4','5','6','7','8','9','10','11','12','13','14','15','16','17','18','19','20','21','22','23','24','25','26','27','28'])).
% 0.20/0.48 cnf('50', plain, (a_select3(u_defuse,$sk2,$sk1) = use),
% 0.20/0.48 inference(resolution,[],['47','49'])).
% 0.20/0.48 cnf('51', plain, (a_select3(u_defuse,$sk2,$sk1) != use | a_select3(z_defuse,$sk2,$sk1) != use | a_select3(u_defuse,n2,n0) != use | a_select3(u_defuse,n1,n0) != use | a_select3(u_defuse,n0,n0) != use | a_select2(rho_defuse,n2) != use | a_select2(rho_defuse,n1) != use | a_select2(rho_defuse,n0) != use | a_select2(xinit_mean_defuse,n5) != use | a_select2(xinit_mean_defuse,n4) != use | a_select2(xinit_mean_defuse,n3) != use | a_select2(xinit_mean_defuse,n2) != use | a_select2(xinit_mean_defuse,n1) != use | a_select2(xinit_mean_defuse,n0) != use | a_select2(sigma_defuse,n5) != use | a_select2(sigma_defuse,n4) != use | a_select2(sigma_defuse,n3) != use | a_select2(sigma_defuse,n2) != use | a_select2(sigma_defuse,n1) != use | a_select2(xinit_noise_defuse,n5) != use | a_select2(sigma_defuse,n0) != use | a_select2(xinit_noise_defuse,n4) != use | a_select2(xinit_noise_defuse,n3) != use | a_select2(xinit_noise_defuse,n2) != use | a_select2(xinit_noise_defuse,n1) != use | a_select2(xinit_noise_defuse,n0) != use | a_select2(xinit_defuse,n5) != use | a_select2(xinit_defuse,n4) != use | a_select2(xinit_defuse,n3) != use),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('52', plain, (a_select3(u_defuse,$sk2,$sk1) != use | a_select3(z_defuse,$sk2,$sk1) != use),
% 0.20/0.48 inference(simplify,[then_simplify],['51','2','3','4','5','6','7','8','9','10','11','12','13','14','15','16','17','18','19','20','21','22','23','24','25','26','27','28'])).
% 0.20/0.48 cnf('53', plain, (a_select3(z_defuse,$sk2,$sk1) != use),
% 0.20/0.48 inference(resolution,[],['50','52'])).
% 0.20/0.48 cnf('54', plain, (a_select3(z_defuse,X,Y) = use | ~leq(n0,Y) | ~leq(n0,X) | ~leq(Y,pv5) | ~leq(X,n2)),
% 0.20/0.48 inference(cnf_transformation,[],['quaternion_ds1_inuse_0010_$sk'])).
% 0.20/0.48 cnf('55', plain, (~leq($sk2,n2) | ~leq(n0,$sk2) | ~leq(n0,$sk1) | ~leq($sk1,pv5)),
% 0.20/0.48 inference(resolution,[],['53','54'])).
% 0.20/0.48 cnf('56', plain, (leq(tptp_float_0_0,$sk2)),
% 0.20/0.48 inference(paramodulation,[],['34','29'])).
% 0.20/0.48 cnf('57', plain, (~leq($sk2,n2) | ~leq($sk1,pv5)),
% 0.20/0.48 inference(simplify,[then_simplify],['55','56','46','34','34'])).
% 0.20/0.48 cnf('58', plain, (~leq($sk1,pv5)),
% 0.20/0.48 inference(resolution,[],['57','49'])).
% 0.20/0.48 cnf('59', plain, ($false),
% 0.20/0.48 inference(resolution,[],['58','43'])).
% 0.20/0.48
% 0.20/0.48 % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.48
% 0.20/0.48 run 7 fork 6 statistics:
% 0.20/0.48 ----------------------------------
% 0.20/0.48 this run seconds: 0.016283
% 0.20/0.48 total seconds: 0.059328
% 0.20/0.48 stat_given_used: 128
% 0.20/0.48 stat_given_used_at_endgame: 0
% 0.20/0.48 stat_given_candidates: 229
% 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: 116
% 0.20/0.48 stat_binres_derived_cl_h: 0
% 0.20/0.48 stat_factor_derived_cl: 12
% 0.20/0.48 stat_para_derived_cl: 349
% 0.20/0.48 stat_tautologies_discarded: 0
% 0.20/0.48 stat_forward_subsumed: 27
% 0.20/0.48 stat_derived_cut: 34
% 0.20/0.48 stat_derived_rewritten: 31
% 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: 31 simplified 0 derived 0 given
% 0.20/0.48 stat_kept_cl: 217
% 0.20/0.48 stat_built_cl: 504
% 0.20/0.48 stat_hyperres_partial_cl: 0
% 0.20/0.48 stat_made_rewriters: 64
% 0.20/0.48 stat_backward_subsumed: 0
% 0.20/0.48 stat_propagated_subsumed: 0
% 0.20/0.48 stat_clsubs_attempted: 160
% 0.20/0.48 stat_clsubs_fact_groundunit_found: 2
% 0.20/0.48 stat_clsubs_rule_groundunit_found: 0
% 0.20/0.48 stat_clsubs_top_meta_attempted: 3684
% 0.20/0.48 stat_clsubs_top_meta_failed: 3524
% 0.20/0.48 stat_clsubs_top_meta_nonpref_attempted: 3684
% 0.20/0.48 stat_clsubs_top_meta_nonpref_succeeded: 1373
% 0.20/0.48 stat_clsubs_top_meta_pref_attempted: 1373
% 0.20/0.48 stat_clsubs_top_meta_pref1_succeeded: 1344
% 0.20/0.48 stat_clsubs_top_meta_pref2_succeeded: 369
% 0.20/0.48 stat_clsubs_top_meta_pref3_succeeded: 160
% 0.20/0.48 stat_clsubs_top_meta_pref_succeeded: 160
% 0.20/0.48 stat_clsubs_meta_attempted: 333
% 0.20/0.48 stat_clsubs_meta_failed: 134
% 0.20/0.48 stat_clsubs_predsymbs_attempted: 0
% 0.20/0.48 stat_clsubs_unit_attempted: 21
% 0.20/0.48 stat_clsubs_full_attempted: 139
% 0.20/0.48 stat_forwardsubs_attempted: 244
% 0.20/0.48 stat_lit_hash_added: 553
% 0.20/0.48 stat_lit_hash_computed: 2075
% 0.20/0.48 stat_lit_hash_match_found: 42
% 0.20/0.48 stat_lit_hash_match_miss: 2216
% 0.20/0.48 stat_lit_hash_cut_ok: 13
% 0.20/0.48 stat_lit_strong_cut_ok: 20
% 0.20/0.48 stat_lit_hash_subsume_ok: 27
% 0.20/0.48 clqueue els 10000000 used 1
% 0.20/0.48 clactive els 10000000 used 129
% 0.20/0.48 clactivesubsume els 10000000 used 367
% 0.20/0.48 queue_termbuf els 200000000 used 14125
% 0.20/0.48 hyper_termbuf els 100000000 used 1
% 0.20/0.48 active_termbuf els 100000000 used 3400
% 0.20/0.48 varstack els 5000 last used 1
% 0.20/0.48 given_termbuf els 10000000 last used 14
% 0.20/0.48 simplified_termbuf els 10000000 last used 1
% 0.20/0.48 derived_termbuf els 10000000 last used 3
% 0.20/0.48 wr_mallocs: 2670
% 0.20/0.48 wr_callocs: 21
% 0.20/0.48 wr_reallocs: 144
% 0.20/0.48 wr_frees: 4
% 0.20/0.48 wr_malloc_bytes: 4162687716
% 0.20/0.48 wr_calloc_bytes: 112065536
% 0.20/0.48 wr_realloc_bytes: 36576
% 0.20/0.48 wr_realloc_freebytes: 0
% 0.20/0.48 ----------------------------------
%------------------------------------------------------------------------------