%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+90 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n020.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 21:24:40 EDT 2023
% Result : Theorem 0.20s 0.56s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12 % Problem : CSR115+90 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.13 % Command : gkc %s
% 0.12/0.34 % Computer : n020.cluster.edu
% 0.12/0.34 % Model : x86_64 x86_64
% 0.12/0.34 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.12/0.34 % Memory : 8042.1875MB
% 0.12/0.34 % OS : Linux 3.10.0-693.el7.x86_64
% 0.12/0.34 % CPULimit : 300
% 0.12/0.34 % WCLimit : 300
% 0.12/0.34 % DateTime : Mon Aug 28 07:42:59 EDT 2023
% 0.12/0.35 % CPUTime :
% 0.20/0.47
% 0.20/0.47 input clause set summed statistics:
% 0.20/0.47 ----------------------------------
% 0.20/0.47 in_clause_count: 10705
% 0.20/0.47 in_rule_clause_count: 337
% 0.20/0.47 in_fact_clause_count: 10368
% 0.20/0.47 in_answer_clause_count: 0
% 0.20/0.47 in_ground_clause_count: 10369
% 0.20/0.47 in_unit_clause_count: 10371
% 0.20/0.47 in_horn_clause_count: 10695
% 0.20/0.47 in_pos_clause_count: 10375
% 0.20/0.47 in_neg_clause_count: 11
% 0.20/0.47 in_poseq_clause_count: 0
% 0.20/0.47 in_negeq_clause_count: 0
% 0.20/0.47 in_unitposeq_clause_count: 0
% 0.20/0.47 in_chain_clause_count: 0
% 0.20/0.47 in_min_length: 1
% 0.20/0.47 in_max_length: 8
% 0.20/0.47 in_min_depth: 1
% 0.20/0.47 in_max_depth: 5
% 0.20/0.47 in_min_size: 3
% 0.20/0.47 in_max_size: 30
% 0.20/0.47 in_min_vars: 0
% 0.20/0.47 in_max_vars: 7
% 0.20/0.47 in_extaxiom_count: 10394
% 0.20/0.47 in_axiom_count: 0
% 0.20/0.47 in_assumption_count: 310
% 0.20/0.47 in_goal_count: 1
% 0.20/0.47 in_neg_goal_count: 1
% 0.20/0.47 in_pos_goal_count: 0
% 0.20/0.47 in_posunit_goal_count: 0
% 0.20/0.47
% 0.20/0.47 auto guide:
% 0.20/0.47 -----------
% 0.20/0.47 {
% 0.20/0.47 "print":1,
% 0.20/0.47 "print_level": 15,
% 0.20/0.47 "max_size": 0,
% 0.20/0.47 "max_depth": 0,
% 0.20/0.47 "max_length": 0,
% 0.20/0.47 "max_dseconds": 0,
% 0.20/0.47 "equality":0,
% 0.20/0.47 "runs":[
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.47
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.20/0.47 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.20/0.47
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.20/0.47 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.20/0.47
% 0.20/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.47
% 0.20/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.20/0.47
% 0.20/0.47 ]}
% 0.20/0.47
% 0.20/0.47
% 0.20/0.47 **** run 1 fork 0 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.20/0.47
% 0.20/0.47 **** run 2 fork 1 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.20/0.47
% 0.20/0.47 **** run 3 fork 2 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.20/0.47
% 0.20/0.47 **** run 4 fork 3 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.20/0.47
% 0.20/0.47 **** run 5 fork 4 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.20/0.47
% 0.20/0.47 **** run 6 fork 5 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.20/0.47
% 0.20/0.47 **** run 7 fork 6 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.20/0.48
% 0.20/0.48 **** run 8 fork 7 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.20/0.56
% 0.20/0.56
% 0.20/0.56 result: proof found
% 0.20/0.56 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.56 by run 5 fork 4 strategy {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.20/0.56 % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.56
% 0.20/0.56 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.56 fof('$inc_attr_name__abk__374rzung_stehen_1_b_f__374r_$sk', plain, ((subs($sk12(X1,X2,X3),stehen_1_b) & (scar($sk12(X1,X2,X3),X3) & (obj($sk12(X1,X2,X3),X3) & mcont($sk12(X1,X2,X3),X3)))) | (~sub(X1,X2) | (~member(X2,cons(eigenname_1_1,cons(familiename_1_1,cons(name_1_1,nil)))) | ~attr(X3,X1)))),
% 0.20/0.56 inference(negpush_and_skolemize,[],['$inc_attr_name__abk__374rzung_stehen_1_b_f__374r'])).
% 0.20/0.56 fof('$inc_attr_name__abk__374rzung_stehen_1_b_f__374r', axiom, (! [X0,X1,X2] : (((attr(X2,X0) & member(X1,cons(eigenname_1_1,cons(familiename_1_1,cons(name_1_1,nil))))) & sub(X0,X1)) => (? [X3] : (((mcont(X3,X2) & obj(X3,X2)) & scar(X3,X2)) & subs(X3,stehen_1_b))))),
% 0.20/0.56 input).
% 0.20/0.56 fof('$inc_member_second_$sk', plain, (member(X3,cons(X1,X2)) | ~member(X3,X2)),
% 0.20/0.56 inference(negpush_and_skolemize,[],['$inc_member_second'])).
% 0.20/0.56 fof('$inc_member_second', axiom, (! [X0,X1,X2] : (member(X0,X2) => member(X0,cons(X1,X2)))),
% 0.20/0.56 input).
% 0.20/0.56 fof('$inc_member_first_$sk', plain, member(X2,cons(X2,X1)),
% 0.20/0.56 inference(negpush_and_skolemize,[],['$inc_member_first'])).
% 0.20/0.56 fof('$inc_member_first', axiom, (! [X0,X1] : member(X0,cons(X0,X1))),
% 0.20/0.56 input).
% 0.20/0.56 fof('ave07_era5_synth_qa07_007_mira_wp_514_$sk', plain, (gener(drosseln_1_1,ge) & (fact(drosseln_1_1,real) & (sort(drosseln_1_1,da) & (varia(c37313,varia_c) & (refer(c37313,refer_c) & (quant(c37313,one) & (gener(c37313,gener_c) & (fact(c37313,real) & (etype(c37313,int0) & (card(c37313,int1) & (sort(c37313,o) & (varia(c37233,varia_c) & (refer(c37233,det) & (quant(c37233,one) & (gener(c37233,sp) & (fact(c37233,real) & (etype(c37233,int0) & (card(c37233,int1) & (sort(c37233,o) & (varia(c37402,varia_c) & (refer(c37402,refer_c) & (quant(c37402,quant_c) & (gener(c37402,gener_c) & (fact(c37402,real) & (etype(c37402,etype_c) & (card(c37402,card_c) & (sort(c37402,ent) & (gener(kilo__1_1,ge) & (sort(kilo__1_1,me) & (card(c37356,int750) & (sort(c37356,nu) & (varia(c37361,con) & (refer(c37361,refer_c) & (quant(c37361,quant_c) & (gener(c37361,gener_c) & (fact(c37361,real) & (etype(c37361,etype_c) & (card(c37361,card_c) & (sort(c37361,m) & (sort(c37361,co) & (varia(last_1_1,varia_c) & (refer(last_1_1,refer_c) & (quant(last_1_1,one) & (gener(last_1_1,ge) & (fact(last_1_1,real) & (etype(last_1_1,int0) & (card(last_1_1,int1) & (sort(last_1_1,io) & (varia(c37359,varia_c) & (refer(c37359,refer_c) & (quant(c37359,one) & (gener(c37359,gener_c) & (fact(c37359,real) & (etype(c37359,int0) & (card(c37359,int1) & (sort(c37359,io) & (varia(c37345,varia_c) & (refer(c37345,refer_c) & (quant(c37345,one) & (gener(c37345,gener_c) & (fact(c37345,real) & (etype(c37345,int0) & (card(c37345,int1) & (sort(c37345,d) & (varia(bmw_1_1,varia_c) & (refer(bmw_1_1,refer_c) & (quant(bmw_1_1,one) & (gener(bmw_1_1,ge) & (fact(bmw_1_1,real) & (etype(bmw_1_1,int0) & (card(bmw_1_1,int1) & (sort(bmw_1_1,d) & (sort(c37229,tq) & (varia(c37341,varia_c) & (refer(c37341,refer_c) & (quant(c37341,one) & (gener(c37341,gener_c) & (fact(c37341,real) & (etype(c37341,int0) & (card(c37341,int1) & (sort(c37341,d) & (gener(pferdest__344rke_1_1,ge) & (sort(pferdest__344rke_1_1,me) & (card(c37331,int26) & (sort(c37331,nu) & (varia(c37339,con) & (refer(c37339,refer_c) & (quant(c37339,quant_c) & (gener(c37339,gener_c) & (fact(c37339,real) & (etype(c37339,etype_c) & (card(c37339,card_c) & (sort(c37339,m) & (sort(c37339,co) & (sort(n22x12_1_1,gq) & (varia(lypsoid_1_1,varia_c) & (refer(lypsoid_1_1,refer_c) & (quant(lypsoid_1_1,one) & (gener(lypsoid_1_1,ge) & (fact(lypsoid_1_1,real) & (etype(lypsoid_1_1,int0) & (card(lypsoid_1_1,int1) & (sort(lypsoid_1_1,o) & (varia(c37298,varia_c) & (refer(c37298,refer_c) & (quant(c37298,mult) & (gener(c37298,gener_c) & (fact(c37298,real) & (etype(c37298,int1) & (card(c37298,cons(x_constant,cons(int1,nil))) & (sort(c37298,o) & (varia(reifen__1_1,varia_c) & (refer(reifen__1_1,refer_c) & (quant(reifen__1_1,one) & (gener(reifen__1_1,ge) & (fact(reifen__1_1,real) & (etype(reifen__1_1,int0) & (card(reifen__1_1,int1) & (sort(reifen__1_1,d) & (varia(c37291,varia_c) & (refer(c37291,det) & (quant(c37291,nfquant) & (gener(c37291,sp) & (fact(c37291,real) & (etype(c37291,int1) & (card(c37291,int4) & (sort(c37291,d) & (varia(c37284,con) & (refer(c37284,det) & (quant(c37284,one) & (gener(c37284,sp) & (fact(c37284,real) & (etype(c37284,int0) & (card(c37284,int1) & (sort(c37284,io) & (sort(c37284,d) & (sort(c37284,ad) & (varia(fahrzeug__1_1,varia_c) & (refer(fahrzeug__1_1,refer_c) & (quant(fahrzeug__1_1,one) & (gener(fahrzeug__1_1,ge) & (fact(fahrzeug__1_1,real) & (etype(fahrzeug__1_1,int0) & (card(fahrzeug__1_1,int1) & (sort(fahrzeug__1_1,d) & (varia(c37274,varia_c) & (refer(c37274,refer_c) & (quant(c37274,one) & (gener(c37274,gener_c) & (fact(c37274,real) & (etype(c37274,int0) & (card(c37274,int1) & (sort(c37274,d) & (varia(einsatz_1_1,varia_c) & (refer(einsatz_1_1,refer_c) & (quant(einsatz_1_1,one) & (gener(einsatz_1_1,ge) & (fact(einsatz_1_1,real) & (etype(einsatz_1_1,int0) & (card(einsatz_1_1,int1) & (sort(einsatz_1_1,io) & (sort(einsatz_1_1,ad) & (sort(ackerbautreibend_1_1,aq) & (varia(c37272,varia_c) & (refer(c37272,refer_c) & (quant(c37272,one) & (gener(c37272,ge) & (fact(c37272,real) & (etype(c37272,int0) & (card(c37272,int1) & (sort(c37272,io) & (sort(c37272,ad) & (varia(c37268,con) & (refer(c37268,det) & (quant(c37268,one) & (gener(c37268,sp) & (fact(c37268,real) & (etype(c37268,int0) & (card(c37268,int1) & (sort(c37268,io) & (sort(c37268,ad) & (sort(n__374rnberg_0,fe) & (varia(name_1_1,varia_c) & (refer(name_1_1,refer_c) & (quant(name_1_1,one) & (gener(name_1_1,ge) & (fact(name_1_1,real) & (etype(name_1_1,int0) & (card(name_1_1,int1) & (sort(name_1_1,na) & (varia(stadt__1_1,varia_c) & (refer(stadt__1_1,refer_c) & (quant(stadt__1_1,one) & (gener(stadt__1_1,ge) & (fact(stadt__1_1,real) & (etype(stadt__1_1,int0) & (card(stadt__1_1,int1) & (sort(stadt__1_1,io) & (sort(stadt__1_1,d) & (varia(c37246,varia_c) & (refer(c37246,indet) & (quant(c37246,one) & (gener(c37246,sp) & (fact(c37246,real) & (etype(c37246,int0) & (card(c37246,int1) & (sort(c37246,na) & (varia(c37245,con) & (refer(c37245,det) & (quant(c37245,one) & (gener(c37245,sp) & (fact(c37245,real) & (etype(c37245,int0) & (card(c37245,int1) & (sort(c37245,io) & (sort(c37245,d) & (varia(faun_1_1,varia_c) & (refer(faun_1_1,refer_c) & (quant(faun_1_1,one) & (gener(faun_1_1,ge) & (fact(faun_1_1,real) & (etype(faun_1_1,int0) & (card(faun_1_1,int1) & (sort(faun_1_1,o) & (varia(c37238,varia_c) & (refer(c37238,refer_c) & (quant(c37238,one) & (gener(c37238,gener_c) & (fact(c37238,real) & (etype(c37238,int0) & (card(c37238,int1) & (sort(c37238,o) & (varia(ausf__374hrung_1_1,varia_c) & (refer(ausf__374hrung_1_1,refer_c) & (quant(ausf__374hrung_1_1,one) & (gener(ausf__374hrung_1_1,ge) & (fact(ausf__374hrung_1_1,real) & (etype(ausf__374hrung_1_1,int0) & (card(ausf__374hrung_1_1,int1) & (sort(ausf__374hrung_1_1,io) & (sort(ausf__374hrung_1_1,d) & (sort(ausf__374hrung_1_1,ad) & (varia(bundeswehr_1_1,varia_c) & (refer(bundeswehr_1_1,refer_c) & (quant(bundeswehr_1_1,quant_c) & (gener(bundeswehr_1_1,ge) & (fact(bundeswehr_1_1,real) & (etype(bundeswehr_1_1,int1) & (card(bundeswehr_1_1,card_c) & (sort(bundeswehr_1_1,io) & (sort(bundeswehr_1_1,d) & (varia(bundeswehrausf__374hrung_1_1,varia_c) & (refer(bundeswehrausf__374hrung_1_1,refer_c) & (quant(bundeswehrausf__374hrung_1_1,one) & (gener(bundeswehrausf__374hrung_1_1,ge) & (fact(bundeswehrausf__374hrung_1_1,real) & (etype(bundeswehrausf__374hrung_1_1,int0) & (card(bundeswehrausf__374hrung_1_1,int1) & (sort(bundeswehrausf__374hrung_1_1,io) & (sort(bundeswehrausf__374hrung_1_1,d) & (sort(bundeswehrausf__374hrung_1_1,ad) & (varia(motor__1_1,varia_c) & (refer(motor__1_1,refer_c) & (quant(motor__1_1,one) & (gener(motor__1_1,ge) & (fact(motor__1_1,real) & (etype(motor__1_1,int0) & (card(motor__1_1,int1) & (sort(motor__1_1,d) & (varia(boxer_2_1,varia_c) & (refer(boxer_2_1,refer_c) & (quant(boxer_2_1,one) & (gener(boxer_2_1,ge) & (fact(boxer_2_1,real) & (etype(boxer_2_1,int0) & (card(boxer_2_1,int1) & (sort(boxer_2_1,d) & (varia(boxermotor_1_1,varia_c) & (refer(boxermotor_1_1,refer_c) & (quant(boxermotor_1_1,one) & (gener(boxermotor_1_1,ge) & (fact(boxermotor_1_1,real) & (etype(boxermotor_1_1,int0) & (card(boxermotor_1_1,int1) & (sort(boxermotor_1_1,d) & (chsp2(drosseln_1_1,c37229) & (tupl_p14(c37402,c37233,c37238,c37245,c37268,c37274,c37284,c37291,c37313,c37339,c37341,c37345,c37361,c37359) & (quant_p3(c37361,c37356,kilo__1_1) & (sub(c37359,last_1_1) & (sub(c37345,boxermotor_1_1) & (sub(c37341,bmw_1_1) & (prop(c37341,c37229) & (quant_p3(c37339,c37331,pferdest__344rke_1_1) & (prop(c37298,n22x12_1_1) & (pred(c37298,lypsoid_1_1) & (attch(c37298,c37291) & (pred(c37291,reifen__1_1) & (sub(c37284,bundeswehrausf__374hrung_1_1) & (sub(c37274,fahrzeug__1_1) & (pmod(c37272,ackerbautreibend_1_1,einsatz_1_1) & (sub(c37268,c37272) & (val(c37246,n__374rnberg_0) & (sub(c37246,name_1_1) & (sub(c37245,stadt__1_1) & (attr(c37245,c37246) & (sub(c37238,faun_1_1) & (sub(bundeswehrausf__374hrung_1_1,ausf__374hrung_1_1) & (assoc(bundeswehrausf__374hrung_1_1,bundeswehr_1_1) & (sub(boxermotor_1_1,motor__1_1) & assoc(boxermotor_1_1,boxer_2_1)))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.20/0.56 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_wp_514'])).
% 0.20/0.56 fof('ave07_era5_synth_qa07_007_mira_wp_514', hypothesis, (((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((assoc(boxermotor_1_1,boxer_2_1) & sub(boxermotor_1_1,motor__1_1)) & assoc(bundeswehrausf__374hrung_1_1,bundeswehr_1_1)) & sub(bundeswehrausf__374hrung_1_1,ausf__374hrung_1_1)) & sub(c37238,faun_1_1)) & attr(c37245,c37246)) & sub(c37245,stadt__1_1)) & sub(c37246,name_1_1)) & val(c37246,n__374rnberg_0)) & sub(c37268,c37272)) & pmod(c37272,ackerbautreibend_1_1,einsatz_1_1)) & sub(c37274,fahrzeug__1_1)) & sub(c37284,bundeswehrausf__374hrung_1_1)) & pred(c37291,reifen__1_1)) & attch(c37298,c37291)) & pred(c37298,lypsoid_1_1)) & prop(c37298,n22x12_1_1)) & quant_p3(c37339,c37331,pferdest__344rke_1_1)) & prop(c37341,c37229)) & sub(c37341,bmw_1_1)) & sub(c37345,boxermotor_1_1)) & sub(c37359,last_1_1)) & quant_p3(c37361,c37356,kilo__1_1)) & tupl_p14(c37402,c37233,c37238,c37245,c37268,c37274,c37284,c37291,c37313,c37339,c37341,c37345,c37361,c37359)) & chsp2(drosseln_1_1,c37229)) & sort(boxermotor_1_1,d)) & card(boxermotor_1_1,int1)) & etype(boxermotor_1_1,int0)) & fact(boxermotor_1_1,real)) & gener(boxermotor_1_1,ge)) & quant(boxermotor_1_1,one)) & refer(boxermotor_1_1,refer_c)) & varia(boxermotor_1_1,varia_c)) & sort(boxer_2_1,d)) & card(boxer_2_1,int1)) & etype(boxer_2_1,int0)) & fact(boxer_2_1,real)) & gener(boxer_2_1,ge)) & quant(boxer_2_1,one)) & refer(boxer_2_1,refer_c)) & varia(boxer_2_1,varia_c)) & sort(motor__1_1,d)) & card(motor__1_1,int1)) & etype(motor__1_1,int0)) & fact(motor__1_1,real)) & gener(motor__1_1,ge)) & quant(motor__1_1,one)) & refer(motor__1_1,refer_c)) & varia(motor__1_1,varia_c)) & sort(bundeswehrausf__374hrung_1_1,ad)) & sort(bundeswehrausf__374hrung_1_1,d)) & sort(bundeswehrausf__374hrung_1_1,io)) & card(bundeswehrausf__374hrung_1_1,int1)) & etype(bundeswehrausf__374hrung_1_1,int0)) & fact(bundeswehrausf__374hrung_1_1,real)) & gener(bundeswehrausf__374hrung_1_1,ge)) & quant(bundeswehrausf__374hrung_1_1,one)) & refer(bundeswehrausf__374hrung_1_1,refer_c)) & varia(bundeswehrausf__374hrung_1_1,varia_c)) & sort(bundeswehr_1_1,d)) & sort(bundeswehr_1_1,io)) & card(bundeswehr_1_1,card_c)) & etype(bundeswehr_1_1,int1)) & fact(bundeswehr_1_1,real)) & gener(bundeswehr_1_1,ge)) & quant(bundeswehr_1_1,quant_c)) & refer(bundeswehr_1_1,refer_c)) & varia(bundeswehr_1_1,varia_c)) & sort(ausf__374hrung_1_1,ad)) & sort(ausf__374hrung_1_1,d)) & sort(ausf__374hrung_1_1,io)) & card(ausf__374hrung_1_1,int1)) & etype(ausf__374hrung_1_1,int0)) & fact(ausf__374hrung_1_1,real)) & gener(ausf__374hrung_1_1,ge)) & quant(ausf__374hrung_1_1,one)) & refer(ausf__374hrung_1_1,refer_c)) & varia(ausf__374hrung_1_1,varia_c)) & sort(c37238,o)) & card(c37238,int1)) & etype(c37238,int0)) & fact(c37238,real)) & gener(c37238,gener_c)) & quant(c37238,one)) & refer(c37238,refer_c)) & varia(c37238,varia_c)) & sort(faun_1_1,o)) & card(faun_1_1,int1)) & etype(faun_1_1,int0)) & fact(faun_1_1,real)) & gener(faun_1_1,ge)) & quant(faun_1_1,one)) & refer(faun_1_1,refer_c)) & varia(faun_1_1,varia_c)) & sort(c37245,d)) & sort(c37245,io)) & card(c37245,int1)) & etype(c37245,int0)) & fact(c37245,real)) & gener(c37245,sp)) & quant(c37245,one)) & refer(c37245,det)) & varia(c37245,con)) & sort(c37246,na)) & card(c37246,int1)) & etype(c37246,int0)) & fact(c37246,real)) & gener(c37246,sp)) & quant(c37246,one)) & refer(c37246,indet)) & varia(c37246,varia_c)) & sort(stadt__1_1,d)) & sort(stadt__1_1,io)) & card(stadt__1_1,int1)) & etype(stadt__1_1,int0)) & fact(stadt__1_1,real)) & gener(stadt__1_1,ge)) & quant(stadt__1_1,one)) & refer(stadt__1_1,refer_c)) & varia(stadt__1_1,varia_c)) & sort(name_1_1,na)) & card(name_1_1,int1)) & etype(name_1_1,int0)) & fact(name_1_1,real)) & gener(name_1_1,ge)) & quant(name_1_1,one)) & refer(name_1_1,refer_c)) & varia(name_1_1,varia_c)) & sort(n__374rnberg_0,fe)) & sort(c37268,ad)) & sort(c37268,io)) & card(c37268,int1)) & etype(c37268,int0)) & fact(c37268,real)) & gener(c37268,sp)) & quant(c37268,one)) & refer(c37268,det)) & varia(c37268,con)) & sort(c37272,ad)) & sort(c37272,io)) & card(c37272,int1)) & etype(c37272,int0)) & fact(c37272,real)) & gener(c37272,ge)) & quant(c37272,one)) & refer(c37272,refer_c)) & varia(c37272,varia_c)) & sort(ackerbautreibend_1_1,aq)) & sort(einsatz_1_1,ad)) & sort(einsatz_1_1,io)) & card(einsatz_1_1,int1)) & etype(einsatz_1_1,int0)) & fact(einsatz_1_1,real)) & gener(einsatz_1_1,ge)) & quant(einsatz_1_1,one)) & refer(einsatz_1_1,refer_c)) & varia(einsatz_1_1,varia_c)) & sort(c37274,d)) & card(c37274,int1)) & etype(c37274,int0)) & fact(c37274,real)) & gener(c37274,gener_c)) & quant(c37274,one)) & refer(c37274,refer_c)) & varia(c37274,varia_c)) & sort(fahrzeug__1_1,d)) & card(fahrzeug__1_1,int1)) & etype(fahrzeug__1_1,int0)) & fact(fahrzeug__1_1,real)) & gener(fahrzeug__1_1,ge)) & quant(fahrzeug__1_1,one)) & refer(fahrzeug__1_1,refer_c)) & varia(fahrzeug__1_1,varia_c)) & sort(c37284,ad)) & sort(c37284,d)) & sort(c37284,io)) & card(c37284,int1)) & etype(c37284,int0)) & fact(c37284,real)) & gener(c37284,sp)) & quant(c37284,one)) & refer(c37284,det)) & varia(c37284,con)) & sort(c37291,d)) & card(c37291,int4)) & etype(c37291,int1)) & fact(c37291,real)) & gener(c37291,sp)) & quant(c37291,nfquant)) & refer(c37291,det)) & varia(c37291,varia_c)) & sort(reifen__1_1,d)) & card(reifen__1_1,int1)) & etype(reifen__1_1,int0)) & fact(reifen__1_1,real)) & gener(reifen__1_1,ge)) & quant(reifen__1_1,one)) & refer(reifen__1_1,refer_c)) & varia(reifen__1_1,varia_c)) & sort(c37298,o)) & card(c37298,cons(x_constant,cons(int1,nil)))) & etype(c37298,int1)) & fact(c37298,real)) & gener(c37298,gener_c)) & quant(c37298,mult)) & refer(c37298,refer_c)) & varia(c37298,varia_c)) & sort(lypsoid_1_1,o)) & card(lypsoid_1_1,int1)) & etype(lypsoid_1_1,int0)) & fact(lypsoid_1_1,real)) & gener(lypsoid_1_1,ge)) & quant(lypsoid_1_1,one)) & refer(lypsoid_1_1,refer_c)) & varia(lypsoid_1_1,varia_c)) & sort(n22x12_1_1,gq)) & sort(c37339,co)) & sort(c37339,m)) & card(c37339,card_c)) & etype(c37339,etype_c)) & fact(c37339,real)) & gener(c37339,gener_c)) & quant(c37339,quant_c)) & refer(c37339,refer_c)) & varia(c37339,con)) & sort(c37331,nu)) & card(c37331,int26)) & sort(pferdest__344rke_1_1,me)) & gener(pferdest__344rke_1_1,ge)) & sort(c37341,d)) & card(c37341,int1)) & etype(c37341,int0)) & fact(c37341,real)) & gener(c37341,gener_c)) & quant(c37341,one)) & refer(c37341,refer_c)) & varia(c37341,varia_c)) & sort(c37229,tq)) & sort(bmw_1_1,d)) & card(bmw_1_1,int1)) & etype(bmw_1_1,int0)) & fact(bmw_1_1,real)) & gener(bmw_1_1,ge)) & quant(bmw_1_1,one)) & refer(bmw_1_1,refer_c)) & varia(bmw_1_1,varia_c)) & sort(c37345,d)) & card(c37345,int1)) & etype(c37345,int0)) & fact(c37345,real)) & gener(c37345,gener_c)) & quant(c37345,one)) & refer(c37345,refer_c)) & varia(c37345,varia_c)) & sort(c37359,io)) & card(c37359,int1)) & etype(c37359,int0)) & fact(c37359,real)) & gener(c37359,gener_c)) & quant(c37359,one)) & refer(c37359,refer_c)) & varia(c37359,varia_c)) & sort(last_1_1,io)) & card(last_1_1,int1)) & etype(last_1_1,int0)) & fact(last_1_1,real)) & gener(last_1_1,ge)) & quant(last_1_1,one)) & refer(last_1_1,refer_c)) & varia(last_1_1,varia_c)) & sort(c37361,co)) & sort(c37361,m)) & card(c37361,card_c)) & etype(c37361,etype_c)) & fact(c37361,real)) & gener(c37361,gener_c)) & quant(c37361,quant_c)) & refer(c37361,refer_c)) & varia(c37361,con)) & sort(c37356,nu)) & card(c37356,int750)) & sort(kilo__1_1,me)) & gener(kilo__1_1,ge)) & sort(c37402,ent)) & card(c37402,card_c)) & etype(c37402,etype_c)) & fact(c37402,real)) & gener(c37402,gener_c)) & quant(c37402,quant_c)) & refer(c37402,refer_c)) & varia(c37402,varia_c)) & sort(c37233,o)) & card(c37233,int1)) & etype(c37233,int0)) & fact(c37233,real)) & gener(c37233,sp)) & quant(c37233,one)) & refer(c37233,det)) & varia(c37233,varia_c)) & sort(c37313,o)) & card(c37313,int1)) & etype(c37313,int0)) & fact(c37313,real)) & gener(c37313,gener_c)) & quant(c37313,one)) & refer(c37313,refer_c)) & varia(c37313,varia_c)) & sort(drosseln_1_1,da)) & fact(drosseln_1_1,real)) & gener(drosseln_1_1,ge)),
% 0.20/0.56 input).
% 0.20/0.56 fof('synth_qa07_007_mira_wp_514_$sk', plain, (~sub(X7,name_1_1) | (~sub(X1,name_1_1) | (~obj(X6,X5) | (~attr(X2,X3) | (~attr(X4,X7) | ~attr(X5,X1)))))),
% 0.20/0.56 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_wp_514'])).
% 0.20/0.56 fof('synth_qa07_007_mira_wp_514', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : (((((attr(X0,X1) & attr(X3,X2)) & attr(X5,X6)) & obj(X4,X0)) & sub(X1,name_1_1)) & sub(X2,name_1_1))),
% 0.20/0.56 input).
% 0.20/0.56 cnf('1', plain, (~member(X,cons(eigenname_1_1,cons(familiename_1_1,cons(name_1_1,nil)))) | obj($sk12(Y,X,Z),Z) | ~attr(Z,Y) | ~sub(Y,X)),
% 0.20/0.56 inference(cnf_transformation,[],['$inc_attr_name__abk__374rzung_stehen_1_b_f__374r_$sk'])).
% 0.20/0.56 cnf('2', plain, (member(X,cons(Y,Z)) | ~member(X,Z)),
% 0.20/0.56 inference(cnf_transformation,[],['$inc_member_second_$sk'])).
% 0.20/0.56 cnf('3', plain, (member(X,cons(X,Y))),
% 0.20/0.56 inference(cnf_transformation,[],['$inc_member_first_$sk'])).
% 0.20/0.56 cnf('4', plain, (member(X,cons(Y,cons(X,Z)))),
% 0.20/0.56 inference(resolution,[],['2','3'])).
% 0.20/0.56 cnf('5', plain, (member(X,cons(Y,cons(Z,cons(X,U))))),
% 0.20/0.56 inference(resolution,[],['4','2'])).
% 0.20/0.56 cnf('6', plain, (obj($sk12(X,name_1_1,Y),Y) | ~attr(Y,X) | ~sub(X,name_1_1)),
% 0.20/0.56 inference(resolution,[],['1','5'])).
% 0.20/0.56 cnf('7', plain, (sub(c37246,name_1_1)),
% 0.20/0.56 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_514_$sk'])).
% 0.20/0.56 cnf('8', plain, (obj($sk12(c37246,name_1_1,X),X) | ~attr(X,c37246)),
% 0.20/0.56 inference(resolution,[],['6','7'])).
% 0.20/0.56 cnf('9', plain, (attr(c37245,c37246)),
% 0.20/0.56 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_514_$sk'])).
% 0.20/0.56 cnf('10', plain, (~attr(X,Y) | ~attr(Z,U) | ~attr(V,W) | ~obj(X2006,V) | ~sub(W,name_1_1) | ~sub(Y,name_1_1)),
% 0.20/0.56 inference(cnf_transformation,[],['synth_qa07_007_mira_wp_514_$sk'])).
% 0.20/0.56 cnf('11', plain, (~attr(X,Y) | ~attr(Z,U) | ~obj(V,X) | ~sub(Y,name_1_1)),
% 0.20/0.56 inference(factorization,[],['10'])).
% 0.20/0.56 cnf('12', plain, (~attr(X,Y) | ~obj(Z,X) | ~sub(Y,name_1_1)),
% 0.20/0.56 inference(factorization,[],['11'])).
% 0.20/0.56 cnf('13', plain, (~attr(X,c37246) | ~obj(Y,X)),
% 0.20/0.56 inference(resolution,[],['7','12'])).
% 0.20/0.56 cnf('14', plain, (~obj(X3,c37245)),
% 0.20/0.56 inference(resolution,[],['9','13'])).
% 0.20/0.56 cnf('15', plain, ($false),
% 0.20/0.56 inference(resolution,[then_simplify],['8','9','14'])).
% 0.20/0.56
% 0.20/0.56 % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.56
% 0.20/0.56 run 5 fork 4 statistics:
% 0.20/0.56 ----------------------------------
% 0.20/0.56 this run seconds: 0.046626
% 0.20/0.56 total seconds: 0.087357
% 0.20/0.56 stat_given_used: 1920
% 0.20/0.56 stat_given_used_at_endgame: 0
% 0.20/0.56 stat_given_candidates: 2325
% 0.20/0.56 stat_given_candidates_at_endgame: 0
% 0.20/0.56 stat_given_candidates_h: 0
% 0.20/0.56 stat_binres_derived_cl: 1689
% 0.20/0.56 stat_binres_derived_cl_h: 0
% 0.20/0.56 stat_factor_derived_cl: 15
% 0.20/0.56 stat_para_derived_cl: 0
% 0.20/0.56 stat_tautologies_discarded: 3
% 0.20/0.56 stat_forward_subsumed: 12
% 0.20/0.56 stat_derived_cut: 1
% 0.20/0.56 stat_derived_rewritten: 0
% 0.20/0.56 stat_weight_discarded_building: 0
% 0.20/0.56 stat_weight_discarded_cl: 0
% 0.20/0.56 stat_internlimit_discarded_cl: 0
% 0.20/0.56 stat_simplified: 0 simplified 0 derived 0 given
% 0.20/0.56 stat_kept_cl: 1688
% 0.20/0.56 stat_built_cl: 5528
% 0.20/0.56 stat_hyperres_partial_cl: 0
% 0.20/0.56 stat_made_rewriters: 0
% 0.20/0.56 stat_backward_subsumed: 0
% 0.20/0.56 stat_propagated_subsumed: 0
% 0.20/0.56 stat_clsubs_attempted: 3832
% 0.20/0.56 stat_clsubs_fact_groundunit_found: 281
% 0.20/0.56 stat_clsubs_rule_groundunit_found: 0
% 0.20/0.56 stat_clsubs_top_meta_attempted: 649568
% 0.20/0.56 stat_clsubs_top_meta_failed: 645736
% 0.20/0.56 stat_clsubs_top_meta_nonpref_attempted: 649568
% 0.20/0.56 stat_clsubs_top_meta_nonpref_succeeded: 151595
% 0.20/0.56 stat_clsubs_top_meta_pref_attempted: 151595
% 0.20/0.56 stat_clsubs_top_meta_pref1_succeeded: 10280
% 0.20/0.56 stat_clsubs_top_meta_pref2_succeeded: 5654
% 0.20/0.56 stat_clsubs_top_meta_pref3_succeeded: 3832
% 0.20/0.56 stat_clsubs_top_meta_pref_succeeded: 3832
% 0.20/0.56 stat_clsubs_meta_attempted: 8286
% 0.20/0.56 stat_clsubs_meta_failed: 5460
% 0.20/0.56 stat_clsubs_predsymbs_attempted: 0
% 0.20/0.56 stat_clsubs_unit_attempted: 321
% 0.20/0.56 stat_clsubs_full_attempted: 3511
% 0.20/0.56 stat_forwardsubs_attempted: 1701
% 0.20/0.56 stat_lit_hash_added: 3081
% 0.20/0.56 stat_lit_hash_computed: 16554
% 0.20/0.56 stat_lit_hash_match_found: 293
% 0.20/0.56 stat_lit_hash_match_miss: 19367
% 0.20/0.56 stat_lit_hash_cut_ok: 0
% 0.20/0.56 stat_lit_strong_cut_ok: 1
% 0.20/0.56 stat_lit_hash_subsume_ok: 12
% 0.20/0.56 clqueue els 10000000 used 1
% 0.20/0.56 clactive els 10000000 used 1921
% 0.20/0.56 clactivesubsume els 10000000 used 5323
% 0.20/0.56 queue_termbuf els 200000000 used 85928
% 0.20/0.56 hyper_termbuf els 100000000 used 1
% 0.20/0.56 active_termbuf els 100000000 used 50154
% 0.20/0.56 varstack els 5000 last used 1
% 0.20/0.56 given_termbuf els 10000000 last used 1
% 0.20/0.56 simplified_termbuf els 10000000 last used 1
% 0.20/0.56 derived_termbuf els 10000000 last used 30
% 0.20/0.56 wr_mallocs: 13984
% 0.20/0.56 wr_callocs: 21
% 0.20/0.56 wr_reallocs: 402
% 0.20/0.56 wr_frees: 4
% 0.20/0.56 wr_malloc_bytes: 4163087044
% 0.20/0.56 wr_calloc_bytes: 112065536
% 0.20/0.56 wr_realloc_bytes: 726888
% 0.20/0.56 wr_realloc_freebytes: 0
% 0.20/0.56 ----------------------------------
%------------------------------------------------------------------------------