%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+69 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n001.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 21:24:35 EDT 2023
% Result : Theorem 0.21s 0.58s
% Output : CNFRefutation 0.21s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.13 % Problem : CSR115+69 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.13 % Command : gkc %s
% 0.13/0.35 % Computer : n001.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 : Mon Aug 28 09:36:20 EDT 2023
% 0.13/0.35 % CPUTime :
% 0.21/0.48
% 0.21/0.48 input clause set summed statistics:
% 0.21/0.48 ----------------------------------
% 0.21/0.48 in_clause_count: 10533
% 0.21/0.48 in_rule_clause_count: 337
% 0.21/0.48 in_fact_clause_count: 10196
% 0.21/0.48 in_answer_clause_count: 0
% 0.21/0.48 in_ground_clause_count: 10197
% 0.21/0.48 in_unit_clause_count: 10199
% 0.21/0.48 in_horn_clause_count: 10523
% 0.21/0.48 in_pos_clause_count: 10203
% 0.21/0.48 in_neg_clause_count: 11
% 0.21/0.48 in_poseq_clause_count: 0
% 0.21/0.48 in_negeq_clause_count: 0
% 0.21/0.48 in_unitposeq_clause_count: 0
% 0.21/0.48 in_chain_clause_count: 0
% 0.21/0.48 in_min_length: 1
% 0.21/0.48 in_max_length: 9
% 0.21/0.48 in_min_depth: 1
% 0.21/0.48 in_max_depth: 5
% 0.21/0.48 in_min_size: 3
% 0.21/0.48 in_max_size: 30
% 0.21/0.48 in_min_vars: 0
% 0.21/0.48 in_max_vars: 7
% 0.21/0.48 in_extaxiom_count: 10394
% 0.21/0.48 in_axiom_count: 0
% 0.21/0.48 in_assumption_count: 138
% 0.21/0.48 in_goal_count: 1
% 0.21/0.48 in_neg_goal_count: 1
% 0.21/0.48 in_pos_goal_count: 0
% 0.21/0.48 in_posunit_goal_count: 0
% 0.21/0.48
% 0.21/0.48 auto guide:
% 0.21/0.48 -----------
% 0.21/0.48 {
% 0.21/0.48 "print":1,
% 0.21/0.48 "print_level": 15,
% 0.21/0.48 "max_size": 0,
% 0.21/0.48 "max_depth": 0,
% 0.21/0.48 "max_length": 0,
% 0.21/0.48 "max_dseconds": 0,
% 0.21/0.48 "equality":0,
% 0.21/0.48 "runs":[
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.21/0.48 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.21/0.48 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.48 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.48 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.21/0.48 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.48 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.48 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.21/0.48
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.21/0.48 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.21/0.48 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.48 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.48 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.21/0.48 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.21/0.48 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.48 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.21/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.48 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.21/0.48
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.48 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.48 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.48 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.21/0.48 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.21/0.48 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.48 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.21/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.48 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.21/0.48
% 0.21/0.48 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.48 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.48 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.48 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.48
% 0.21/0.48 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.48 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.48 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.48 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.21/0.48
% 0.21/0.48 ]}
% 0.21/0.48
% 0.21/0.48
% 0.21/0.48 **** run 3 fork 2 starts with strategy
% 0.21/0.48 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.21/0.48
% 0.21/0.48 **** run 4 fork 3 starts with strategy
% 0.21/0.48 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.21/0.48
% 0.21/0.48 **** run 5 fork 4 starts with strategy
% 0.21/0.48 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.21/0.48
% 0.21/0.48 **** run 6 fork 5 starts with strategy
% 0.21/0.48 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.21/0.48
% 0.21/0.48 **** run 7 fork 6 starts with strategy
% 0.21/0.48 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.21/0.48
% 0.21/0.48 **** run 1 fork 0 starts with strategy
% 0.21/0.48 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.21/0.48
% 0.21/0.48 **** run 8 fork 7 starts with strategy
% 0.21/0.48 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.21/0.48
% 0.21/0.48 **** run 2 fork 1 starts with strategy
% 0.21/0.48 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.21/0.58
% 0.21/0.58
% 0.21/0.58 result: proof found
% 0.21/0.58 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.58 by run 5 fork 4 strategy {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.21/0.58 % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.58
% 0.21/0.58 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.58 fof('$inc_sub__sub_0_expansion_$sk', plain, ((subr($sk6(X1,X2),sub_0) & (arg2($sk6(X1,X2),X2) & arg1($sk6(X1,X2),X1))) | ~sub(X1,X2)),
% 0.21/0.58 inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.21/0.58 fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.21/0.58 input).
% 0.21/0.58 fof('ave07_era5_synth_qa07_007_mira_wp_479_$sk', plain, (varia(teil_1_1,varia_c) & (refer(teil_1_1,refer_c) & (quant(teil_1_1,quant_c) & (gener(teil_1_1,ge) & (fact(teil_1_1,real) & (etype(teil_1_1,etype_c) & (card(teil_1_1,card_c) & (sort(teil_1_1,co) & (varia(tuning_1_1,varia_c) & (refer(tuning_1_1,refer_c) & (quant(tuning_1_1,one) & (gener(tuning_1_1,ge) & (fact(tuning_1_1,real) & (etype(tuning_1_1,int0) & (card(tuning_1_1,int1) & (sort(tuning_1_1,io) & (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) & (sort(ganz_1_1,nq) & (varia(c307,varia_c) & (refer(c307,refer_c) & (quant(c307,quant_c) & (gener(c307,gener_c) & (fact(c307,real) & (etype(c307,etype_c) & (card(c307,card_c) & (sort(c307,ent) & (varia(basis_1_1,varia_c) & (refer(basis_1_1,refer_c) & (quant(basis_1_1,one) & (gener(basis_1_1,ge) & (fact(basis_1_1,real) & (etype(basis_1_1,int0) & (card(basis_1_1,int1) & (sort(basis_1_1,io) & (varia(c168,varia_c) & (refer(c168,refer_c) & (quant(c168,one) & (gener(c168,gener_c) & (fact(c168,real) & (etype(c168,int0) & (card(c168,int1) & (sort(c168,io) & (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(c164,varia_c) & (refer(c164,indet) & (quant(c164,one) & (gener(c164,sp) & (fact(c164,real) & (etype(c164,int0) & (card(c164,int1) & (sort(c164,na) & (varia(c163,con) & (refer(c163,det) & (quant(c163,one) & (gener(c163,sp) & (fact(c163,real) & (etype(c163,int0) & (card(c163,int1) & (sort(c163,io) & (sort(c163,d) & (varia(komplettfahrzeug_1_1,varia_c) & (refer(komplettfahrzeug_1_1,refer_c) & (quant(komplettfahrzeug_1_1,one) & (gener(komplettfahrzeug_1_1,ge) & (fact(komplettfahrzeug_1_1,real) & (etype(komplettfahrzeug_1_1,int0) & (card(komplettfahrzeug_1_1,int1) & (sort(komplettfahrzeug_1_1,d) & (varia(c140,varia_c) & (refer(c140,indet) & (quant(c140,mult) & (gener(c140,gener_c) & (fact(c140,real) & (etype(c140,int1) & (card(c140,cons(x_constant,cons(int1,nil))) & (sort(c140,d) & (varia(tuningteil_1_1,varia_c) & (refer(tuningteil_1_1,refer_c) & (quant(tuningteil_1_1,quant_c) & (gener(tuningteil_1_1,ge) & (fact(tuningteil_1_1,real) & (etype(tuningteil_1_1,etype_c) & (card(tuningteil_1_1,card_c) & (sort(tuningteil_1_1,co) & (varia(c137,varia_c) & (refer(c137,indet) & (quant(c137,quant_c) & (gener(c137,gener_c) & (fact(c137,real) & (etype(c137,etype_c) & (card(c137,card_c) & (sort(c137,co) & (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(c124,con) & (refer(c124,det) & (quant(c124,one) & (gener(c124,sp) & (fact(c124,real) & (etype(c124,int0) & (card(c124,int1) & (sort(c124,io) & (sort(c124,d) & (sub(tuningteil_1_1,teil_1_1) & (assoc(tuningteil_1_1,tuning_1_1) & (sub(komplettfahrzeug_1_1,fahrzeug__1_1) & (assoc(komplettfahrzeug_1_1,ganz_1_1) & (tupl_p6(c307,c124,c137,c140,c163,c168) & (sub(c168,basis_1_1) & (val(c164,bmw_0) & (sub(c164,name_1_1) & (sub(c163,firma_1_1) & (attr(c163,c164) & (pred(c140,komplettfahrzeug_1_1) & (pred(c137,tuningteil_1_1) & sub(c124,firma_1_1)))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.21/0.58 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_wp_479'])).
% 0.21/0.58 fof('ave07_era5_synth_qa07_007_mira_wp_479', hypothesis, (((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((sub(c124,firma_1_1) & pred(c137,tuningteil_1_1)) & pred(c140,komplettfahrzeug_1_1)) & attr(c163,c164)) & sub(c163,firma_1_1)) & sub(c164,name_1_1)) & val(c164,bmw_0)) & sub(c168,basis_1_1)) & tupl_p6(c307,c124,c137,c140,c163,c168)) & assoc(komplettfahrzeug_1_1,ganz_1_1)) & sub(komplettfahrzeug_1_1,fahrzeug__1_1)) & assoc(tuningteil_1_1,tuning_1_1)) & sub(tuningteil_1_1,teil_1_1)) & sort(c124,d)) & sort(c124,io)) & card(c124,int1)) & etype(c124,int0)) & fact(c124,real)) & gener(c124,sp)) & quant(c124,one)) & refer(c124,det)) & varia(c124,con)) & 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(c137,co)) & card(c137,card_c)) & etype(c137,etype_c)) & fact(c137,real)) & gener(c137,gener_c)) & quant(c137,quant_c)) & refer(c137,indet)) & varia(c137,varia_c)) & sort(tuningteil_1_1,co)) & card(tuningteil_1_1,card_c)) & etype(tuningteil_1_1,etype_c)) & fact(tuningteil_1_1,real)) & gener(tuningteil_1_1,ge)) & quant(tuningteil_1_1,quant_c)) & refer(tuningteil_1_1,refer_c)) & varia(tuningteil_1_1,varia_c)) & sort(c140,d)) & card(c140,cons(x_constant,cons(int1,nil)))) & etype(c140,int1)) & fact(c140,real)) & gener(c140,gener_c)) & quant(c140,mult)) & refer(c140,indet)) & varia(c140,varia_c)) & sort(komplettfahrzeug_1_1,d)) & card(komplettfahrzeug_1_1,int1)) & etype(komplettfahrzeug_1_1,int0)) & fact(komplettfahrzeug_1_1,real)) & gener(komplettfahrzeug_1_1,ge)) & quant(komplettfahrzeug_1_1,one)) & refer(komplettfahrzeug_1_1,refer_c)) & varia(komplettfahrzeug_1_1,varia_c)) & sort(c163,d)) & sort(c163,io)) & card(c163,int1)) & etype(c163,int0)) & fact(c163,real)) & gener(c163,sp)) & quant(c163,one)) & refer(c163,det)) & varia(c163,con)) & sort(c164,na)) & card(c164,int1)) & etype(c164,int0)) & fact(c164,real)) & gener(c164,sp)) & quant(c164,one)) & refer(c164,indet)) & varia(c164,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(c168,io)) & card(c168,int1)) & etype(c168,int0)) & fact(c168,real)) & gener(c168,gener_c)) & quant(c168,one)) & refer(c168,refer_c)) & varia(c168,varia_c)) & sort(basis_1_1,io)) & card(basis_1_1,int1)) & etype(basis_1_1,int0)) & fact(basis_1_1,real)) & gener(basis_1_1,ge)) & quant(basis_1_1,one)) & refer(basis_1_1,refer_c)) & varia(basis_1_1,varia_c)) & sort(c307,ent)) & card(c307,card_c)) & etype(c307,etype_c)) & fact(c307,real)) & gener(c307,gener_c)) & quant(c307,quant_c)) & refer(c307,refer_c)) & varia(c307,varia_c)) & sort(ganz_1_1,nq)) & 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(tuning_1_1,io)) & card(tuning_1_1,int1)) & etype(tuning_1_1,int0)) & fact(tuning_1_1,real)) & gener(tuning_1_1,ge)) & quant(tuning_1_1,one)) & refer(tuning_1_1,refer_c)) & varia(tuning_1_1,varia_c)) & sort(teil_1_1,co)) & card(teil_1_1,card_c)) & etype(teil_1_1,etype_c)) & fact(teil_1_1,real)) & gener(teil_1_1,ge)) & quant(teil_1_1,quant_c)) & refer(teil_1_1,refer_c)) & varia(teil_1_1,varia_c)),
% 0.21/0.58 input).
% 0.21/0.58 fof('$inc_sub__bezeichnen_1_1_als_$sk', plain, ((subs($sk9(X1,X2,X3),bezeichnen_1_1) & (subr($sk7(X1,X2,X3),rprs_0) & (sub($sk8(X1,X2,X3),X3) & (obj($sk9(X1,X2,X3),X1) & (mcont($sk9(X1,X2,X3),$sk7(X1,X2,X3)) & (hsit(X2,$sk9(X1,X2,X3)) & (arg2($sk7(X1,X2,X3),$sk8(X1,X2,X3)) & arg1($sk7(X1,X2,X3),X1)))))))) | (~subr(X2,sub_0) | (~arg2(X2,X3) | ~arg1(X2,X1)))),
% 0.21/0.58 inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.21/0.58 fof('$inc_sub__bezeichnen_1_1_als', axiom, (! [X0,X1,X2] : (((arg1(X0,X1) & arg2(X0,X2)) & subr(X0,sub_0)) => (? [X3,X4,X5] : (((((((arg1(X4,X1) & arg2(X4,X5)) & hsit(X0,X3)) & mcont(X3,X4)) & obj(X3,X1)) & sub(X5,X2)) & subr(X4,rprs_0)) & subs(X3,bezeichnen_1_1))))),
% 0.21/0.58 input).
% 0.21/0.58 fof('synth_qa07_007_mira_wp_479_$sk', plain, (~val(X7,bmw_0) | (~val(X1,bmw_0) | (~sub(X7,name_1_1) | (~sub(X2,firma_1_1) | (~sub(X1,name_1_1) | (~obj(X3,X2) | (~attr(X6,X5) | (~attr(X4,X7) | ~attr(X2,X1))))))))),
% 0.21/0.58 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_wp_479'])).
% 0.21/0.58 fof('synth_qa07_007_mira_wp_479', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : ((((((((attr(X0,X1) & attr(X3,X2)) & attr(X5,X6)) & obj(X4,X0)) & sub(X1,name_1_1)) & sub(X0,firma_1_1)) & sub(X2,name_1_1)) & val(X1,bmw_0)) & val(X2,bmw_0))),
% 0.21/0.58 input).
% 0.21/0.58 cnf('1', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.21/0.58 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.21/0.58 cnf('2', plain, (sub(c163,firma_1_1)),
% 0.21/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_479_$sk'])).
% 0.21/0.58 cnf('3', plain, (subr($sk6(c163,firma_1_1),sub_0)),
% 0.21/0.58 inference(resolution,[],['1','2'])).
% 0.21/0.58 cnf('4', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.21/0.58 inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.21/0.58 cnf('5', plain, (obj($sk9(X,$sk6(c163,firma_1_1),Y),X) | ~arg1($sk6(c163,firma_1_1),X) | ~arg2($sk6(c163,firma_1_1),Y)),
% 0.21/0.58 inference(resolution,[],['3','4'])).
% 0.21/0.58 cnf('6', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.21/0.58 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.21/0.58 cnf('7', plain, (arg1($sk6(c163,firma_1_1),c163)),
% 0.21/0.58 inference(resolution,[],['6','2'])).
% 0.21/0.58 cnf('8', plain, (attr(c163,c164)),
% 0.21/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_479_$sk'])).
% 0.21/0.58 cnf('9', plain, (val(c164,bmw_0)),
% 0.21/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_479_$sk'])).
% 0.21/0.58 cnf('10', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(U,V) | ~attr(W,X) | ~obj(X2006,W) | ~sub(W,firma_1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 0.21/0.58 inference(cnf_transformation,[],['synth_qa07_007_mira_wp_479_$sk'])).
% 0.21/0.58 cnf('11', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,U) | ~obj(V,Y) | ~sub(Y,firma_1_1) | ~sub(X,name_1_1)),
% 0.21/0.58 inference(factorization,[],['10'])).
% 0.21/0.58 cnf('12', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~obj(Z,Y) | ~sub(Y,firma_1_1) | ~sub(X,name_1_1)),
% 0.21/0.58 inference(factorization,[],['11'])).
% 0.21/0.58 cnf('13', plain, (sub(c164,name_1_1)),
% 0.21/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_479_$sk'])).
% 0.21/0.58 cnf('14', plain, (~attr(X,c164) | ~obj(Y,X) | ~sub(X,firma_1_1)),
% 0.21/0.58 inference(resolution,[then_simplify],['9','12','13'])).
% 0.21/0.58 cnf('15', plain, (sub(c163,firma_1_1)),
% 0.21/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_479_$sk'])).
% 0.21/0.58 cnf('16', plain, (~obj(X3,c163)),
% 0.21/0.58 inference(resolution,[then_simplify],['8','14','15'])).
% 0.21/0.58 cnf('17', plain, (~arg2($sk6(c163,firma_1_1),X)),
% 0.21/0.58 inference(resolution,[then_simplify],['5','7','16'])).
% 0.21/0.58 cnf('18', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.21/0.58 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.21/0.58 cnf('19', plain, (arg2($sk6(c163,firma_1_1),firma_1_1)),
% 0.21/0.58 inference(resolution,[],['18','2'])).
% 0.21/0.58 cnf('20', plain, ($false),
% 0.21/0.58 inference(resolution,[],['17','19'])).
% 0.21/0.58
% 0.21/0.58 % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.58
% 0.21/0.58 run 5 fork 4 statistics:
% 0.21/0.58 ----------------------------------
% 0.21/0.58 this run seconds: 0.046083
% 0.21/0.58 total seconds: 0.095589
% 0.21/0.58 stat_given_used: 1105
% 0.21/0.58 stat_given_used_at_endgame: 0
% 0.21/0.58 stat_given_candidates: 1365
% 0.21/0.58 stat_given_candidates_at_endgame: 0
% 0.21/0.58 stat_given_candidates_h: 0
% 0.21/0.58 stat_binres_derived_cl: 976
% 0.21/0.58 stat_binres_derived_cl_h: 0
% 0.21/0.58 stat_factor_derived_cl: 25
% 0.21/0.58 stat_para_derived_cl: 0
% 0.21/0.58 stat_tautologies_discarded: 3
% 0.21/0.58 stat_forward_subsumed: 14
% 0.21/0.58 stat_derived_cut: 10
% 0.21/0.58 stat_derived_rewritten: 0
% 0.21/0.58 stat_weight_discarded_building: 0
% 0.21/0.58 stat_weight_discarded_cl: 0
% 0.21/0.58 stat_internlimit_discarded_cl: 0
% 0.21/0.58 stat_simplified: 0 simplified 0 derived 0 given
% 0.21/0.58 stat_kept_cl: 983
% 0.21/0.58 stat_built_cl: 3193
% 0.21/0.58 stat_hyperres_partial_cl: 0
% 0.21/0.58 stat_made_rewriters: 0
% 0.21/0.58 stat_backward_subsumed: 0
% 0.21/0.58 stat_propagated_subsumed: 0
% 0.21/0.58 stat_clsubs_attempted: 2087
% 0.21/0.58 stat_clsubs_fact_groundunit_found: 203
% 0.21/0.58 stat_clsubs_rule_groundunit_found: 0
% 0.21/0.58 stat_clsubs_top_meta_attempted: 226093
% 0.21/0.58 stat_clsubs_top_meta_failed: 224006
% 0.21/0.58 stat_clsubs_top_meta_nonpref_attempted: 226093
% 0.21/0.58 stat_clsubs_top_meta_nonpref_succeeded: 66964
% 0.21/0.58 stat_clsubs_top_meta_pref_attempted: 66964
% 0.21/0.58 stat_clsubs_top_meta_pref1_succeeded: 3969
% 0.21/0.58 stat_clsubs_top_meta_pref2_succeeded: 2461
% 0.21/0.58 stat_clsubs_top_meta_pref3_succeeded: 2087
% 0.21/0.58 stat_clsubs_top_meta_pref_succeeded: 2087
% 0.21/0.58 stat_clsubs_meta_attempted: 5026
% 0.21/0.58 stat_clsubs_meta_failed: 2811
% 0.21/0.58 stat_clsubs_predsymbs_attempted: 0
% 0.21/0.58 stat_clsubs_unit_attempted: 261
% 0.21/0.58 stat_clsubs_full_attempted: 1826
% 0.21/0.58 stat_forwardsubs_attempted: 997
% 0.21/0.58 stat_lit_hash_added: 1614
% 0.21/0.58 stat_lit_hash_computed: 10170
% 0.21/0.58 stat_lit_hash_match_found: 226
% 0.21/0.58 stat_lit_hash_match_miss: 12241
% 0.21/0.58 stat_lit_hash_cut_ok: 9
% 0.21/0.58 stat_lit_strong_cut_ok: 1
% 0.21/0.58 stat_lit_hash_subsume_ok: 14
% 0.21/0.58 clqueue els 10000000 used 1
% 0.21/0.58 clactive els 10000000 used 1106
% 0.21/0.58 clactivesubsume els 10000000 used 3283
% 0.21/0.58 queue_termbuf els 200000000 used 58286
% 0.21/0.58 hyper_termbuf els 100000000 used 1
% 0.21/0.58 active_termbuf els 100000000 used 28386
% 0.21/0.58 varstack els 5000 last used 1
% 0.21/0.58 given_termbuf els 10000000 last used 21
% 0.21/0.58 simplified_termbuf els 10000000 last used 1
% 0.21/0.58 derived_termbuf els 10000000 last used 3
% 0.21/0.58 wr_mallocs: 7675
% 0.21/0.58 wr_callocs: 21
% 0.21/0.58 wr_reallocs: 233
% 0.21/0.58 wr_frees: 4
% 0.21/0.58 wr_malloc_bytes: 4162865684
% 0.21/0.58 wr_calloc_bytes: 112065536
% 0.21/0.58 wr_realloc_bytes: 690984
% 0.21/0.58 wr_realloc_freebytes: 0
% 0.21/0.58 ----------------------------------
%------------------------------------------------------------------------------