TSTP Solution File: CSR115+3 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+3 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n009.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 21:24:28 EDT 2023
% Result : Theorem 0.82s 0.56s
% Output : CNFRefutation 0.82s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.07/0.12 % Problem : CSR115+3 : TPTP v8.1.2. Released v4.0.0.
% 0.07/0.12 % Command : gkc %s
% 0.11/0.33 % Computer : n009.cluster.edu
% 0.11/0.33 % Model : x86_64 x86_64
% 0.11/0.33 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.11/0.33 % Memory : 8042.1875MB
% 0.11/0.33 % OS : Linux 3.10.0-693.el7.x86_64
% 0.11/0.33 % CPULimit : 300
% 0.11/0.33 % WCLimit : 300
% 0.11/0.33 % DateTime : Mon Aug 28 13:40:50 EDT 2023
% 0.11/0.34 % CPUTime :
% 0.18/0.47
% 0.18/0.47 input clause set summed statistics:
% 0.18/0.47 ----------------------------------
% 0.18/0.47 in_clause_count: 10610
% 0.18/0.47 in_rule_clause_count: 338
% 0.18/0.47 in_fact_clause_count: 10272
% 0.18/0.47 in_answer_clause_count: 0
% 0.18/0.47 in_ground_clause_count: 10274
% 0.18/0.47 in_unit_clause_count: 10276
% 0.18/0.47 in_horn_clause_count: 10600
% 0.18/0.47 in_pos_clause_count: 10280
% 0.18/0.47 in_neg_clause_count: 11
% 0.18/0.47 in_poseq_clause_count: 0
% 0.18/0.47 in_negeq_clause_count: 0
% 0.18/0.47 in_unitposeq_clause_count: 0
% 0.18/0.47 in_chain_clause_count: 0
% 0.18/0.47 in_min_length: 1
% 0.18/0.47 in_max_length: 9
% 0.18/0.47 in_min_depth: 1
% 0.18/0.47 in_max_depth: 5
% 0.18/0.47 in_min_size: 3
% 0.18/0.47 in_max_size: 30
% 0.18/0.47 in_min_vars: 0
% 0.18/0.47 in_max_vars: 7
% 0.18/0.47 in_extaxiom_count: 10394
% 0.18/0.47 in_axiom_count: 0
% 0.18/0.47 in_assumption_count: 215
% 0.18/0.47 in_goal_count: 1
% 0.18/0.47 in_neg_goal_count: 1
% 0.18/0.47 in_pos_goal_count: 0
% 0.18/0.47 in_posunit_goal_count: 0
% 0.18/0.47
% 0.18/0.47 auto guide:
% 0.18/0.47 -----------
% 0.18/0.47 {
% 0.18/0.47 "print":1,
% 0.18/0.47 "print_level": 15,
% 0.18/0.47 "max_size": 0,
% 0.18/0.47 "max_depth": 0,
% 0.18/0.47 "max_length": 0,
% 0.18/0.47 "max_dseconds": 0,
% 0.18/0.47 "equality":0,
% 0.18/0.47 "runs":[
% 0.18/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.18/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.18/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.18/0.47 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.18/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.18/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.18/0.47 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.18/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.18/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.18/0.47 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.18/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.18/0.47 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.18/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.18/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.18/0.47 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.18/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.18/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.18/0.47 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.18/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.18/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.18/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.18/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.18/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.18/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.18/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.18/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.18/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.18/0.47
% 0.18/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.18/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.18/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.18/0.47 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.18/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.18/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.18/0.47 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.18/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.18/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.18/0.47 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.18/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.18/0.47 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.18/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.18/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.18/0.47 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.18/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.18/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.18/0.47 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.18/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.18/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.18/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.18/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.18/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.18/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.18/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.18/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.18/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.18/0.47
% 0.18/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.18/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.18/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.18/0.47 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.18/0.47 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.18/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.18/0.47 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.18/0.47 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.18/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.18/0.47 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.18/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.18/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.18/0.47 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.18/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.18/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.18/0.47 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.18/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.18/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.18/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.18/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.18/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.18/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.18/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.18/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.18/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.18/0.47
% 0.18/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.18/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.18/0.47 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.18/0.47 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.18/0.47 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.18/0.47
% 0.18/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.18/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.18/0.47 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.18/0.47 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.18/0.47 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.18/0.47 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.18/0.47
% 0.18/0.47 ]}
% 0.18/0.47
% 0.18/0.47
% 0.18/0.47 **** run 1 fork 0 starts with strategy
% 0.18/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.18/0.47
% 0.18/0.47 **** run 2 fork 1 starts with strategy
% 0.18/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.18/0.47
% 0.18/0.47 **** run 3 fork 2 starts with strategy
% 0.18/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.18/0.47
% 0.18/0.47 **** run 4 fork 3 starts with strategy
% 0.18/0.47 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.18/0.48
% 0.18/0.48 **** run 5 fork 4 starts with strategy
% 0.18/0.48 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.18/0.48
% 0.18/0.48 **** run 6 fork 5 starts with strategy
% 0.18/0.48 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.18/0.48
% 0.18/0.48 **** run 7 fork 6 starts with strategy
% 0.18/0.48 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.18/0.48
% 0.18/0.48 **** run 8 fork 7 starts with strategy
% 0.18/0.48 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.82/0.56
% 0.82/0.56
% 0.82/0.56 result: proof found
% 0.82/0.56 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.82/0.56 by run 5 fork 4 strategy {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.82/0.56 % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.82/0.56
% 0.82/0.56 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.82/0.56 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)))),
% 0.82/0.56 inference(negpush_and_skolemize,[],['$inc_attr_name__abk__374rzung_stehen_1_b_f__374r'])).
% 0.82/0.56 fof('$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))))),
% 0.82/0.56 input).
% 0.82/0.56 fof('$inc_member_second_$sk', plain, (member(X3,cons(X1,X2)) | ~member(X3,X2)),
% 0.82/0.56 inference(negpush_and_skolemize,[],['$inc_member_second'])).
% 0.82/0.56 fof('$inc_member_second', axiom, (! [X0,X1,X2] : (member(X0,X2) => member(X0,cons(X1,X2)))),
% 0.82/0.56 input).
% 0.82/0.56 fof('$inc_member_first_$sk', plain, member(X2,cons(X2,X1)),
% 0.82/0.56 inference(negpush_and_skolemize,[],['$inc_member_first'])).
% 0.82/0.56 fof('$inc_member_first', axiom, (! [X0,X1] : member(X0,cons(X0,X1))),
% 0.82/0.56 input).
% 0.82/0.56 fof('ave07_era5_synth_qa07_007_mira_news_1086_$sk', plain, (varia(konzept__1_1,varia_c) & (refer(konzept__1_1,refer_c) & (quant(konzept__1_1,one) & (gener(konzept__1_1,ge) & (fact(konzept__1_1,real) & (etype(konzept__1_1,int0) & (card(konzept__1_1,int1) & (sort(konzept__1_1,io) & (sort(konzept__1_1,d) & (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(c3598,varia_c) & (refer(c3598,det) & (quant(c3598,one) & (gener(c3598,sp) & (fact(c3598,real) & (etype(c3598,int0) & (card(c3598,int1) & (sort(c3598,o) & (varia(c3898,varia_c) & (refer(c3898,refer_c) & (quant(c3898,quant_c) & (gener(c3898,gener_c) & (fact(c3898,real) & (etype(c3898,etype_c) & (card(c3898,card_c) & (sort(c3898,ent) & (varia(schub__1_1,varia_c) & (refer(schub__1_1,refer_c) & (quant(schub__1_1,one) & (gener(schub__1_1,ge) & (fact(schub__1_1,real) & (etype(schub__1_1,int0) & (card(schub__1_1,int1) & (sort(schub__1_1,ad) & (varia(c3613,varia_c) & (refer(c3613,refer_c) & (quant(c3613,one) & (gener(c3613,gener_c) & (fact(c3613,real) & (etype(c3613,int0) & (card(c3613,int1) & (sort(c3613,ad) & (sort(britisch__1_1,nq) & (varia(c3609,con) & (refer(c3609,det) & (quant(c3609,one) & (gener(c3609,sp) & (fact(c3609,real) & (etype(c3609,int0) & (card(c3609,int1) & (sort(c3609,io) & (sort(c3609,d) & (varia(fahrzeugkonzept_1_1,varia_c) & (refer(fahrzeugkonzept_1_1,refer_c) & (quant(fahrzeugkonzept_1_1,one) & (gener(fahrzeugkonzept_1_1,ge) & (fact(fahrzeugkonzept_1_1,real) & (etype(fahrzeugkonzept_1_1,int0) & (card(fahrzeugkonzept_1_1,int1) & (sort(fahrzeugkonzept_1_1,io) & (sort(fahrzeugkonzept_1_1,d) & (varia(c3595,varia_c) & (refer(c3595,indet) & (quant(c3595,one) & (gener(c3595,sp) & (fact(c3595,real) & (etype(c3595,int0) & (card(c3595,int1) & (sort(c3595,io) & (sort(c3595,d) & (varia(experte_1_1,varia_c) & (refer(experte_1_1,refer_c) & (quant(experte_1_1,one) & (gener(experte_1_1,ge) & (fact(experte_1_1,real) & (etype(experte_1_1,int0) & (card(experte_1_1,int1) & (sort(experte_1_1,d) & (varia(c3592,varia_c) & (refer(c3592,indet) & (quant(c3592,mult) & (gener(c3592,gener_c) & (fact(c3592,real) & (etype(c3592,int1) & (card(c3592,cons(x_constant,cons(int1,nil))) & (sort(c3592,d) & (sort(bmw_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(firma_1_1,varia_c) & (refer(firma_1_1,refer_c) & (quant(firma_1_1,one) & (gener(firma_1_1,ge) & (fact(firma_1_1,real) & (etype(firma_1_1,int0) & (card(firma_1_1,int1) & (sort(firma_1_1,io) & (sort(firma_1_1,d) & (varia(c3591,varia_c) & (refer(c3591,indet) & (quant(c3591,one) & (gener(c3591,sp) & (fact(c3591,real) & (etype(c3591,int0) & (card(c3591,int1) & (sort(c3591,na) & (varia(c3590,con) & (refer(c3590,det) & (quant(c3590,one) & (gener(c3590,sp) & (fact(c3590,real) & (etype(c3590,int0) & (card(c3590,int1) & (sort(c3590,io) & (sort(c3590,d) & (sort(royce_0,fe) & (varia(c3511,varia_c) & (refer(c3511,indet) & (quant(c3511,one) & (gener(c3511,sp) & (fact(c3511,real) & (etype(c3511,int0) & (card(c3511,int1) & (sort(c3511,na) & (varia(c3510,con) & (refer(c3510,det) & (quant(c3510,one) & (gener(c3510,sp) & (fact(c3510,real) & (etype(c3510,int0) & (card(c3510,int1) & (sort(c3510,d) & (varia(techniker__1_1,varia_c) & (refer(techniker__1_1,refer_c) & (quant(techniker__1_1,one) & (gener(techniker__1_1,ge) & (fact(techniker__1_1,real) & (etype(techniker__1_1,int0) & (card(techniker__1_1,int1) & (sort(techniker__1_1,d) & (varia(c3508,varia_c) & (refer(c3508,indet) & (quant(c3508,mult) & (gener(c3508,gener_c) & (fact(c3508,real) & (etype(c3508,int1) & (card(c3508,cons(x_constant,cons(int1,nil))) & (sort(c3508,d) & (sort(roll_0,fe) & (varia(familiename_1_1,varia_c) & (refer(familiename_1_1,refer_c) & (quant(familiename_1_1,one) & (gener(familiename_1_1,ge) & (fact(familiename_1_1,real) & (etype(familiename_1_1,int0) & (card(familiename_1_1,int1) & (sort(familiename_1_1,na) & (varia(mensch_1_1,varia_c) & (refer(mensch_1_1,refer_c) & (quant(mensch_1_1,one) & (gener(mensch_1_1,ge) & (fact(mensch_1_1,real) & (etype(mensch_1_1,int0) & (card(mensch_1_1,int1) & (sort(mensch_1_1,d) & (varia(c3506,varia_c) & (refer(c3506,indet) & (quant(c3506,one) & (gener(c3506,sp) & (fact(c3506,real) & (etype(c3506,int0) & (card(c3506,int1) & (sort(c3506,na) & (varia(c3505,con) & (refer(c3505,det) & (quant(c3505,one) & (gener(c3505,sp) & (fact(c3505,real) & (etype(c3505,int0) & (card(c3505,int1) & (sort(c3505,d) & (sub(fahrzeugkonzept_1_1,konzept__1_1) & (assoc(fahrzeugkonzept_1_1,fahrzeug__1_1) & (tupl_p10(c3898,c3505,c3510,c3508,c3590,c3592,c3595,c3598,c3609,c3613) & (subs(c3613,schub__1_1) & (sub(c3609,firma_1_1) & (prop(c3609,britisch__1_1) & (sub(c3595,fahrzeugkonzept_1_1) & (pred(c3592,experte_1_1) & (val(c3591,bmw_0) & (sub(c3591,name_1_1) & (sub(c3590,firma_1_1) & (attr(c3590,c3591) & (val(c3511,royce_0) & (sub(c3511,familiename_1_1) & (sub(c3510,mensch_1_1) & (attr(c3510,c3511) & (pred(c3508,techniker__1_1) & (val(c3506,roll_0) & (sub(c3506,familiename_1_1) & (sub(c3505,mensch_1_1) & attr(c3505,c3506))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.82/0.56 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1086'])).
% 0.82/0.56 fof('ave07_era5_synth_qa07_007_mira_news_1086', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((attr(c3505,c3506) & sub(c3505,mensch_1_1)) & sub(c3506,familiename_1_1)) & val(c3506,roll_0)) & pred(c3508,techniker__1_1)) & attr(c3510,c3511)) & sub(c3510,mensch_1_1)) & sub(c3511,familiename_1_1)) & val(c3511,royce_0)) & attr(c3590,c3591)) & sub(c3590,firma_1_1)) & sub(c3591,name_1_1)) & val(c3591,bmw_0)) & pred(c3592,experte_1_1)) & sub(c3595,fahrzeugkonzept_1_1)) & prop(c3609,britisch__1_1)) & sub(c3609,firma_1_1)) & subs(c3613,schub__1_1)) & tupl_p10(c3898,c3505,c3510,c3508,c3590,c3592,c3595,c3598,c3609,c3613)) & assoc(fahrzeugkonzept_1_1,fahrzeug__1_1)) & sub(fahrzeugkonzept_1_1,konzept__1_1)) & sort(c3505,d)) & card(c3505,int1)) & etype(c3505,int0)) & fact(c3505,real)) & gener(c3505,sp)) & quant(c3505,one)) & refer(c3505,det)) & varia(c3505,con)) & sort(c3506,na)) & card(c3506,int1)) & etype(c3506,int0)) & fact(c3506,real)) & gener(c3506,sp)) & quant(c3506,one)) & refer(c3506,indet)) & varia(c3506,varia_c)) & sort(mensch_1_1,d)) & card(mensch_1_1,int1)) & etype(mensch_1_1,int0)) & fact(mensch_1_1,real)) & gener(mensch_1_1,ge)) & quant(mensch_1_1,one)) & refer(mensch_1_1,refer_c)) & varia(mensch_1_1,varia_c)) & sort(familiename_1_1,na)) & card(familiename_1_1,int1)) & etype(familiename_1_1,int0)) & fact(familiename_1_1,real)) & gener(familiename_1_1,ge)) & quant(familiename_1_1,one)) & refer(familiename_1_1,refer_c)) & varia(familiename_1_1,varia_c)) & sort(roll_0,fe)) & sort(c3508,d)) & card(c3508,cons(x_constant,cons(int1,nil)))) & etype(c3508,int1)) & fact(c3508,real)) & gener(c3508,gener_c)) & quant(c3508,mult)) & refer(c3508,indet)) & varia(c3508,varia_c)) & sort(techniker__1_1,d)) & card(techniker__1_1,int1)) & etype(techniker__1_1,int0)) & fact(techniker__1_1,real)) & gener(techniker__1_1,ge)) & quant(techniker__1_1,one)) & refer(techniker__1_1,refer_c)) & varia(techniker__1_1,varia_c)) & sort(c3510,d)) & card(c3510,int1)) & etype(c3510,int0)) & fact(c3510,real)) & gener(c3510,sp)) & quant(c3510,one)) & refer(c3510,det)) & varia(c3510,con)) & sort(c3511,na)) & card(c3511,int1)) & etype(c3511,int0)) & fact(c3511,real)) & gener(c3511,sp)) & quant(c3511,one)) & refer(c3511,indet)) & varia(c3511,varia_c)) & sort(royce_0,fe)) & sort(c3590,d)) & sort(c3590,io)) & card(c3590,int1)) & etype(c3590,int0)) & fact(c3590,real)) & gener(c3590,sp)) & quant(c3590,one)) & refer(c3590,det)) & varia(c3590,con)) & sort(c3591,na)) & card(c3591,int1)) & etype(c3591,int0)) & fact(c3591,real)) & gener(c3591,sp)) & quant(c3591,one)) & refer(c3591,indet)) & varia(c3591,varia_c)) & sort(firma_1_1,d)) & sort(firma_1_1,io)) & card(firma_1_1,int1)) & etype(firma_1_1,int0)) & fact(firma_1_1,real)) & gener(firma_1_1,ge)) & quant(firma_1_1,one)) & refer(firma_1_1,refer_c)) & varia(firma_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(bmw_0,fe)) & sort(c3592,d)) & card(c3592,cons(x_constant,cons(int1,nil)))) & etype(c3592,int1)) & fact(c3592,real)) & gener(c3592,gener_c)) & quant(c3592,mult)) & refer(c3592,indet)) & varia(c3592,varia_c)) & sort(experte_1_1,d)) & card(experte_1_1,int1)) & etype(experte_1_1,int0)) & fact(experte_1_1,real)) & gener(experte_1_1,ge)) & quant(experte_1_1,one)) & refer(experte_1_1,refer_c)) & varia(experte_1_1,varia_c)) & sort(c3595,d)) & sort(c3595,io)) & card(c3595,int1)) & etype(c3595,int0)) & fact(c3595,real)) & gener(c3595,sp)) & quant(c3595,one)) & refer(c3595,indet)) & varia(c3595,varia_c)) & sort(fahrzeugkonzept_1_1,d)) & sort(fahrzeugkonzept_1_1,io)) & card(fahrzeugkonzept_1_1,int1)) & etype(fahrzeugkonzept_1_1,int0)) & fact(fahrzeugkonzept_1_1,real)) & gener(fahrzeugkonzept_1_1,ge)) & quant(fahrzeugkonzept_1_1,one)) & refer(fahrzeugkonzept_1_1,refer_c)) & varia(fahrzeugkonzept_1_1,varia_c)) & sort(c3609,d)) & sort(c3609,io)) & card(c3609,int1)) & etype(c3609,int0)) & fact(c3609,real)) & gener(c3609,sp)) & quant(c3609,one)) & refer(c3609,det)) & varia(c3609,con)) & sort(britisch__1_1,nq)) & sort(c3613,ad)) & card(c3613,int1)) & etype(c3613,int0)) & fact(c3613,real)) & gener(c3613,gener_c)) & quant(c3613,one)) & refer(c3613,refer_c)) & varia(c3613,varia_c)) & sort(schub__1_1,ad)) & card(schub__1_1,int1)) & etype(schub__1_1,int0)) & fact(schub__1_1,real)) & gener(schub__1_1,ge)) & quant(schub__1_1,one)) & refer(schub__1_1,refer_c)) & varia(schub__1_1,varia_c)) & sort(c3898,ent)) & card(c3898,card_c)) & etype(c3898,etype_c)) & fact(c3898,real)) & gener(c3898,gener_c)) & quant(c3898,quant_c)) & refer(c3898,refer_c)) & varia(c3898,varia_c)) & sort(c3598,o)) & card(c3598,int1)) & etype(c3598,int0)) & fact(c3598,real)) & gener(c3598,sp)) & quant(c3598,one)) & refer(c3598,det)) & varia(c3598,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(konzept__1_1,d)) & sort(konzept__1_1,io)) & card(konzept__1_1,int1)) & etype(konzept__1_1,int0)) & fact(konzept__1_1,real)) & gener(konzept__1_1,ge)) & quant(konzept__1_1,one)) & refer(konzept__1_1,refer_c)) & varia(konzept__1_1,varia_c)),
% 0.82/0.56 input).
% 0.82/0.56 fof('synth_qa07_007_mira_news_1086_$sk', plain, (~val(X7,bmw_0) | (~val(X1,bmw_0) | (~sub(X7,name_1_1) | (~sub(X2,firma_1_1) | (~sub(X1,name_1_1) | (~obj(X3,X2) | (~attr(X6,X5) | (~attr(X4,X7) | ~attr(X2,X1))))))))),
% 0.82/0.56 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1086'])).
% 0.82/0.56 fof('synth_qa07_007_mira_news_1086', 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(X0,firma_1_1)) & sub(X2,name_1_1)) & val(X1,bmw_0)) & val(X2,bmw_0))),
% 0.82/0.56 input).
% 0.82/0.56 cnf('1', plain, (~member(X,cons(eigenname_1_1,cons(familiename_1_1,cons(name_1_1,nil)))) | obj($sk12(Y,X,Z),Z) | ~attr(Z,Y) | ~sub(Y,X)),
% 0.82/0.56 inference(cnf_transformation,[],['$inc_attr_name__abk__374rzung_stehen_1_b_f__374r_$sk'])).
% 0.82/0.56 cnf('2', plain, (member(X,cons(Y,Z)) | ~member(X,Z)),
% 0.82/0.56 inference(cnf_transformation,[],['$inc_member_second_$sk'])).
% 0.82/0.56 cnf('3', plain, (member(X,cons(X,Y))),
% 0.82/0.56 inference(cnf_transformation,[],['$inc_member_first_$sk'])).
% 0.82/0.56 cnf('4', plain, (member(X,cons(Y,cons(X,Z)))),
% 0.82/0.56 inference(resolution,[],['2','3'])).
% 0.82/0.56 cnf('5', plain, (member(X,cons(Y,cons(Z,cons(X,U))))),
% 0.82/0.56 inference(resolution,[],['4','2'])).
% 0.82/0.56 cnf('6', plain, (obj($sk12(X,name_1_1,Y),Y) | ~attr(Y,X) | ~sub(X,name_1_1)),
% 0.82/0.56 inference(resolution,[],['1','5'])).
% 0.82/0.56 cnf('7', plain, (sub(c3591,name_1_1)),
% 0.82/0.56 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1086_$sk'])).
% 0.82/0.56 cnf('8', plain, (obj($sk12(c3591,name_1_1,X),X) | ~attr(X,c3591)),
% 0.82/0.56 inference(resolution,[],['6','7'])).
% 0.82/0.56 cnf('9', plain, (attr(c3590,c3591)),
% 0.82/0.56 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1086_$sk'])).
% 0.82/0.56 cnf('10', plain, (val(c3591,bmw_0)),
% 0.82/0.56 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1086_$sk'])).
% 0.82/0.56 cnf('11', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(U,V) | ~attr(W,X) | ~obj(X2006,W) | ~sub(W,firma_1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 0.82/0.56 inference(cnf_transformation,[],['synth_qa07_007_mira_news_1086_$sk'])).
% 0.82/0.56 cnf('12', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,U) | ~obj(V,Y) | ~sub(Y,firma_1_1) | ~sub(X,name_1_1)),
% 0.82/0.56 inference(factorization,[],['11'])).
% 0.82/0.56 cnf('13', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~obj(Z,Y) | ~sub(Y,firma_1_1) | ~sub(X,name_1_1)),
% 0.82/0.56 inference(factorization,[],['12'])).
% 0.82/0.56 cnf('14', plain, (sub(c3591,name_1_1)),
% 0.82/0.56 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1086_$sk'])).
% 0.82/0.56 cnf('15', plain, (~attr(X,c3591) | ~obj(Y,X) | ~sub(X,firma_1_1)),
% 0.82/0.56 inference(resolution,[then_simplify],['10','13','14'])).
% 0.82/0.56 cnf('16', plain, (sub(c3590,firma_1_1)),
% 0.82/0.56 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1086_$sk'])).
% 0.82/0.56 cnf('17', plain, (~obj(X3,c3590)),
% 0.82/0.56 inference(resolution,[then_simplify],['15','9','16'])).
% 0.82/0.56 cnf('18', plain, ($false),
% 0.82/0.56 inference(resolution,[then_simplify],['8','9','17'])).
% 0.82/0.56
% 0.82/0.56 % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.82/0.56
% 0.82/0.56 run 5 fork 4 statistics:
% 0.82/0.56 ----------------------------------
% 0.82/0.56 this run seconds: 0.039778
% 0.82/0.56 total seconds: 0.086632
% 0.82/0.56 stat_given_used: 1533
% 0.82/0.56 stat_given_used_at_endgame: 0
% 0.82/0.56 stat_given_candidates: 1889
% 0.82/0.56 stat_given_candidates_at_endgame: 0
% 0.82/0.56 stat_given_candidates_h: 0
% 0.82/0.56 stat_binres_derived_cl: 1313
% 0.82/0.56 stat_binres_derived_cl_h: 0
% 0.82/0.56 stat_factor_derived_cl: 33
% 0.82/0.56 stat_para_derived_cl: 0
% 0.82/0.56 stat_tautologies_discarded: 3
% 0.82/0.56 stat_forward_subsumed: 3
% 0.82/0.56 stat_derived_cut: 11
% 0.82/0.56 stat_derived_rewritten: 0
% 0.82/0.56 stat_weight_discarded_building: 0
% 0.82/0.56 stat_weight_discarded_cl: 0
% 0.82/0.56 stat_internlimit_discarded_cl: 0
% 0.82/0.56 stat_simplified: 0 simplified 0 derived 0 given
% 0.82/0.56 stat_kept_cl: 1339
% 0.82/0.56 stat_built_cl: 4405
% 0.82/0.56 stat_hyperres_partial_cl: 0
% 0.82/0.56 stat_made_rewriters: 0
% 0.82/0.56 stat_backward_subsumed: 0
% 0.82/0.56 stat_propagated_subsumed: 0
% 0.82/0.56 stat_clsubs_attempted: 3857
% 0.82/0.56 stat_clsubs_fact_groundunit_found: 248
% 0.82/0.56 stat_clsubs_rule_groundunit_found: 0
% 0.82/0.56 stat_clsubs_top_meta_attempted: 469515
% 0.82/0.56 stat_clsubs_top_meta_failed: 465658
% 0.82/0.56 stat_clsubs_top_meta_nonpref_attempted: 469515
% 0.82/0.56 stat_clsubs_top_meta_nonpref_succeeded: 127340
% 0.82/0.56 stat_clsubs_top_meta_pref_attempted: 127340
% 0.82/0.56 stat_clsubs_top_meta_pref1_succeeded: 8731
% 0.82/0.56 stat_clsubs_top_meta_pref2_succeeded: 4823
% 0.82/0.56 stat_clsubs_top_meta_pref3_succeeded: 3857
% 0.82/0.56 stat_clsubs_top_meta_pref_succeeded: 3857
% 0.82/0.56 stat_clsubs_meta_attempted: 8568
% 0.82/0.56 stat_clsubs_meta_failed: 4880
% 0.82/0.56 stat_clsubs_predsymbs_attempted: 0
% 0.82/0.56 stat_clsubs_unit_attempted: 364
% 0.82/0.56 stat_clsubs_full_attempted: 3493
% 0.82/0.56 stat_forwardsubs_attempted: 1343
% 0.82/0.56 stat_lit_hash_added: 2300
% 0.82/0.56 stat_lit_hash_computed: 14161
% 0.82/0.56 stat_lit_hash_match_found: 261
% 0.82/0.56 stat_lit_hash_match_miss: 16977
% 0.82/0.56 stat_lit_hash_cut_ok: 10
% 0.82/0.56 stat_lit_strong_cut_ok: 2
% 0.82/0.56 stat_lit_hash_subsume_ok: 3
% 0.82/0.56 clqueue els 10000000 used 1
% 0.82/0.56 clactive els 10000000 used 1534
% 0.82/0.56 clactivesubsume els 10000000 used 4789
% 0.82/0.56 queue_termbuf els 200000000 used 73089
% 0.82/0.56 hyper_termbuf els 100000000 used 1
% 0.82/0.56 active_termbuf els 100000000 used 41638
% 0.82/0.56 varstack els 5000 last used 1
% 0.82/0.56 given_termbuf els 10000000 last used 1
% 0.82/0.56 simplified_termbuf els 10000000 last used 1
% 0.82/0.56 derived_termbuf els 10000000 last used 30
% 0.82/0.56 wr_mallocs: 10445
% 0.82/0.56 wr_callocs: 21
% 0.82/0.56 wr_reallocs: 332
% 0.82/0.56 wr_frees: 4
% 0.82/0.56 wr_malloc_bytes: 4162963044
% 0.82/0.56 wr_calloc_bytes: 112065536
% 0.82/0.56 wr_realloc_bytes: 707336
% 0.82/0.56 wr_realloc_freebytes: 0
% 0.82/0.56 ----------------------------------
%------------------------------------------------------------------------------