TSTP Solution File: CSR115+68 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+68 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n022.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 0.19s 0.54s
% Output : CNFRefutation 0.19s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.07/0.12 % Problem : CSR115+68 : TPTP v8.1.2. Released v4.0.0.
% 0.07/0.13 % Command : gkc %s
% 0.13/0.34 % Computer : n022.cluster.edu
% 0.13/0.34 % Model : x86_64 x86_64
% 0.13/0.34 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.34 % Memory : 8042.1875MB
% 0.13/0.34 % OS : Linux 3.10.0-693.el7.x86_64
% 0.13/0.34 % CPULimit : 300
% 0.13/0.34 % WCLimit : 300
% 0.13/0.34 % DateTime : Mon Aug 28 12:00:24 EDT 2023
% 0.13/0.34 % CPUTime :
% 0.19/0.46
% 0.19/0.46 input clause set summed statistics:
% 0.19/0.46 ----------------------------------
% 0.19/0.46 in_clause_count: 10539
% 0.19/0.46 in_rule_clause_count: 338
% 0.19/0.46 in_fact_clause_count: 10201
% 0.19/0.46 in_answer_clause_count: 0
% 0.19/0.46 in_ground_clause_count: 10203
% 0.19/0.46 in_unit_clause_count: 10205
% 0.19/0.46 in_horn_clause_count: 10529
% 0.19/0.46 in_pos_clause_count: 10209
% 0.19/0.46 in_neg_clause_count: 11
% 0.19/0.46 in_poseq_clause_count: 0
% 0.19/0.46 in_negeq_clause_count: 0
% 0.19/0.46 in_unitposeq_clause_count: 0
% 0.19/0.46 in_chain_clause_count: 0
% 0.19/0.46 in_min_length: 1
% 0.19/0.46 in_max_length: 9
% 0.19/0.46 in_min_depth: 1
% 0.19/0.46 in_max_depth: 5
% 0.19/0.46 in_min_size: 3
% 0.19/0.46 in_max_size: 30
% 0.19/0.46 in_min_vars: 0
% 0.19/0.46 in_max_vars: 7
% 0.19/0.46 in_extaxiom_count: 10394
% 0.19/0.46 in_axiom_count: 0
% 0.19/0.46 in_assumption_count: 144
% 0.19/0.46 in_goal_count: 1
% 0.19/0.46 in_neg_goal_count: 1
% 0.19/0.46 in_pos_goal_count: 0
% 0.19/0.46 in_posunit_goal_count: 0
% 0.19/0.46
% 0.19/0.46 auto guide:
% 0.19/0.46 -----------
% 0.19/0.46 {
% 0.19/0.46 "print":1,
% 0.19/0.46 "print_level": 15,
% 0.19/0.46 "max_size": 0,
% 0.19/0.46 "max_depth": 0,
% 0.19/0.46 "max_length": 0,
% 0.19/0.46 "max_dseconds": 0,
% 0.19/0.46 "equality":0,
% 0.19/0.46 "runs":[
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.19/0.46 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.19/0.46 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.19/0.46 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.19/0.46 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.19/0.46 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.19/0.46 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.19/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.19/0.46 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.19/0.46
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.19/0.46 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.19/0.46 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.19/0.46 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.19/0.46 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.19/0.46 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.19/0.46 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.19/0.46 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.19/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.19/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.19/0.46 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.19/0.46
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.19/0.46 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.19/0.46 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.19/0.46 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.19/0.46 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.19/0.46 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.19/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.19/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.19/0.46 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.19/0.46
% 0.19/0.46 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.46 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.46 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.19/0.46
% 0.19/0.46 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.19/0.46
% 0.19/0.46 ]}
% 0.19/0.46
% 0.19/0.46
% 0.19/0.46 **** run 1 fork 0 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.19/0.46
% 0.19/0.46 **** run 2 fork 1 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.19/0.46
% 0.19/0.46 **** run 3 fork 2 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.19/0.46
% 0.19/0.46 **** run 4 fork 3 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.19/0.46
% 0.19/0.46 **** run 5 fork 4 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.19/0.46
% 0.19/0.46 **** run 6 fork 5 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.19/0.47
% 0.19/0.47 **** run 7 fork 6 starts with strategy
% 0.19/0.47 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.19/0.48
% 0.19/0.48 **** run 8 fork 7 starts with strategy
% 0.19/0.48 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.19/0.54
% 0.19/0.54
% 0.19/0.54 result: proof found
% 0.19/0.54 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.19/0.54 by run 5 fork 4 strategy {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.19/0.54 % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.19/0.54
% 0.19/0.54 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.19/0.54 fof('$inc_sub__sub_0_expansion_$sk', plain, ((subr($sk6(X1,X2),sub_0) & (arg2($sk6(X1,X2),X2) & arg1($sk6(X1,X2),X1))) | ~sub(X1,X2)),
% 0.19/0.54 inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.19/0.54 fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.19/0.54 input).
% 0.19/0.54 fof('ave07_era5_synth_qa07_007_mira_wp_478_$sk', plain, (card(zw__366lf_1_1,int12) & (sort(zw__366lf_1_1,nu) & (varia(walze_1_1,varia_c) & (refer(walze_1_1,refer_c) & (quant(walze_1_1,one) & (gener(walze_1_1,ge) & (fact(walze_1_1,real) & (etype(walze_1_1,int0) & (card(walze_1_1,int1) & (sort(walze_1_1,d) & (varia(sport__1_1,varia_c) & (refer(sport__1_1,refer_c) & (quant(sport__1_1,one) & (gener(sport__1_1,ge) & (fact(sport__1_1,real) & (etype(sport__1_1,int0) & (card(sport__1_1,int1) & (sort(sport__1_1,ad) & (varia(c218,varia_c) & (refer(c218,refer_c) & (quant(c218,quant_c) & (gener(c218,gener_c) & (fact(c218,real) & (etype(c218,etype_c) & (card(c218,card_c) & (sort(c218,ent) & (varia(gmbh__1_1,varia_c) & (refer(gmbh__1_1,refer_c) & (quant(gmbh__1_1,quant_c) & (gener(gmbh__1_1,ge) & (fact(gmbh__1_1,real) & (etype(gmbh__1_1,int1) & (card(gmbh__1_1,card_c) & (sort(gmbh__1_1,io) & (sort(gmbh__1_1,d) & (varia(c149,varia_c) & (refer(c149,refer_c) & (quant(c149,one) & (gener(c149,gener_c) & (fact(c149,real) & (etype(c149,int1) & (card(c149,int1) & (sort(c149,io) & (sort(c149,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(c148,varia_c) & (refer(c148,indet) & (quant(c148,one) & (gener(c148,sp) & (fact(c148,real) & (etype(c148,int0) & (card(c148,int1) & (sort(c148,na) & (varia(c147,con) & (refer(c147,det) & (quant(c147,one) & (gener(c147,sp) & (fact(c147,real) & (etype(c147,int0) & (card(c147,int1) & (sort(c147,io) & (sort(c147,d) & (varia(gehsport_1_1,varia_c) & (refer(gehsport_1_1,refer_c) & (quant(gehsport_1_1,one) & (gener(gehsport_1_1,ge) & (fact(gehsport_1_1,real) & (etype(gehsport_1_1,int0) & (card(gehsport_1_1,int1) & (sort(gehsport_1_1,ad) & (varia(c145,varia_c) & (refer(c145,refer_c) & (quant(c145,one) & (gener(c145,gener_c) & (fact(c145,real) & (etype(c145,int0) & (card(c145,int1) & (sort(c145,ad) & (sort(leistungsgesteigerten_1_1,gq) & (varia(zw__366lfzylindermotor_1_1,varia_c) & (refer(zw__366lfzylindermotor_1_1,refer_c) & (quant(zw__366lfzylindermotor_1_1,one) & (gener(zw__366lfzylindermotor_1_1,ge) & (fact(zw__366lfzylindermotor_1_1,real) & (etype(zw__366lfzylindermotor_1_1,int0) & (card(zw__366lfzylindermotor_1_1,int1) & (sort(zw__366lfzylindermotor_1_1,d) & (varia(c130,varia_c) & (refer(c130,det) & (quant(c130,mult) & (gener(c130,sp) & (fact(c130,real) & (etype(c130,int1) & (card(c130,cons(x_constant,cons(int1,nil))) & (sort(c130,d) & (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(c123,con) & (refer(c123,det) & (quant(c123,mult) & (gener(c123,sp) & (fact(c123,real) & (etype(c123,int1) & (card(c123,cons(x_constant,cons(int1,nil))) & (sort(c123,d) & (sub(zw__366lfzylindermotor_1_1,motor__1_1) & (assoc(zw__366lfzylindermotor_1_1,zw__366lf_1_1) & (assoc(zw__366lfzylindermotor_1_1,walze_1_1) & (subs(gehsport_1_1,sport__1_1) & (assoc(gehsport_1_1,motor__1_1) & (tupl_p5(c218,c123,c130,c145,c149) & (sub(c149,gmbh__1_1) & (val(c148,bmw_0) & (sub(c148,name_1_1) & (sub(c147,firma_1_1) & (attr(c147,c148) & (attch(c147,c130) & (subs(c145,gehsport_1_1) & (prop(c130,leistungsgesteigerten_1_1) & (pred(c130,zw__366lfzylindermotor_1_1) & pred(c123,motor__1_1)))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.19/0.54 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_wp_478'])).
% 0.19/0.54 fof('ave07_era5_synth_qa07_007_mira_wp_478', hypothesis, (((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((pred(c123,motor__1_1) & pred(c130,zw__366lfzylindermotor_1_1)) & prop(c130,leistungsgesteigerten_1_1)) & subs(c145,gehsport_1_1)) & attch(c147,c130)) & attr(c147,c148)) & sub(c147,firma_1_1)) & sub(c148,name_1_1)) & val(c148,bmw_0)) & sub(c149,gmbh__1_1)) & tupl_p5(c218,c123,c130,c145,c149)) & assoc(gehsport_1_1,motor__1_1)) & subs(gehsport_1_1,sport__1_1)) & assoc(zw__366lfzylindermotor_1_1,walze_1_1)) & assoc(zw__366lfzylindermotor_1_1,zw__366lf_1_1)) & sub(zw__366lfzylindermotor_1_1,motor__1_1)) & sort(c123,d)) & card(c123,cons(x_constant,cons(int1,nil)))) & etype(c123,int1)) & fact(c123,real)) & gener(c123,sp)) & quant(c123,mult)) & refer(c123,det)) & varia(c123,con)) & 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(c130,d)) & card(c130,cons(x_constant,cons(int1,nil)))) & etype(c130,int1)) & fact(c130,real)) & gener(c130,sp)) & quant(c130,mult)) & refer(c130,det)) & varia(c130,varia_c)) & sort(zw__366lfzylindermotor_1_1,d)) & card(zw__366lfzylindermotor_1_1,int1)) & etype(zw__366lfzylindermotor_1_1,int0)) & fact(zw__366lfzylindermotor_1_1,real)) & gener(zw__366lfzylindermotor_1_1,ge)) & quant(zw__366lfzylindermotor_1_1,one)) & refer(zw__366lfzylindermotor_1_1,refer_c)) & varia(zw__366lfzylindermotor_1_1,varia_c)) & sort(leistungsgesteigerten_1_1,gq)) & sort(c145,ad)) & card(c145,int1)) & etype(c145,int0)) & fact(c145,real)) & gener(c145,gener_c)) & quant(c145,one)) & refer(c145,refer_c)) & varia(c145,varia_c)) & sort(gehsport_1_1,ad)) & card(gehsport_1_1,int1)) & etype(gehsport_1_1,int0)) & fact(gehsport_1_1,real)) & gener(gehsport_1_1,ge)) & quant(gehsport_1_1,one)) & refer(gehsport_1_1,refer_c)) & varia(gehsport_1_1,varia_c)) & sort(c147,d)) & sort(c147,io)) & card(c147,int1)) & etype(c147,int0)) & fact(c147,real)) & gener(c147,sp)) & quant(c147,one)) & refer(c147,det)) & varia(c147,con)) & sort(c148,na)) & card(c148,int1)) & etype(c148,int0)) & fact(c148,real)) & gener(c148,sp)) & quant(c148,one)) & refer(c148,indet)) & varia(c148,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(c149,d)) & sort(c149,io)) & card(c149,int1)) & etype(c149,int1)) & fact(c149,real)) & gener(c149,gener_c)) & quant(c149,one)) & refer(c149,refer_c)) & varia(c149,varia_c)) & sort(gmbh__1_1,d)) & sort(gmbh__1_1,io)) & card(gmbh__1_1,card_c)) & etype(gmbh__1_1,int1)) & fact(gmbh__1_1,real)) & gener(gmbh__1_1,ge)) & quant(gmbh__1_1,quant_c)) & refer(gmbh__1_1,refer_c)) & varia(gmbh__1_1,varia_c)) & sort(c218,ent)) & card(c218,card_c)) & etype(c218,etype_c)) & fact(c218,real)) & gener(c218,gener_c)) & quant(c218,quant_c)) & refer(c218,refer_c)) & varia(c218,varia_c)) & sort(sport__1_1,ad)) & card(sport__1_1,int1)) & etype(sport__1_1,int0)) & fact(sport__1_1,real)) & gener(sport__1_1,ge)) & quant(sport__1_1,one)) & refer(sport__1_1,refer_c)) & varia(sport__1_1,varia_c)) & sort(walze_1_1,d)) & card(walze_1_1,int1)) & etype(walze_1_1,int0)) & fact(walze_1_1,real)) & gener(walze_1_1,ge)) & quant(walze_1_1,one)) & refer(walze_1_1,refer_c)) & varia(walze_1_1,varia_c)) & sort(zw__366lf_1_1,nu)) & card(zw__366lf_1_1,int12)),
% 0.19/0.54 input).
% 0.19/0.54 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)))),
% 0.19/0.54 inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.19/0.54 fof('$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))))),
% 0.19/0.54 input).
% 0.19/0.54 fof('synth_qa07_007_mira_wp_478_$sk', plain, (~val(X7,bmw_0) | (~val(X1,bmw_0) | (~sub(X7,name_1_1) | (~sub(X2,firma_1_1) | (~sub(X1,name_1_1) | (~obj(X3,X2) | (~attr(X6,X5) | (~attr(X4,X7) | ~attr(X2,X1))))))))),
% 0.19/0.54 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_wp_478'])).
% 0.19/0.54 fof('synth_qa07_007_mira_wp_478', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : ((((((((attr(X0,X1) & attr(X3,X2)) & attr(X5,X6)) & obj(X4,X0)) & sub(X1,name_1_1)) & sub(X0,firma_1_1)) & sub(X2,name_1_1)) & val(X1,bmw_0)) & val(X2,bmw_0))),
% 0.19/0.54 input).
% 0.19/0.54 cnf('1', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.19/0.54 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.19/0.54 cnf('2', plain, (sub(c147,firma_1_1)),
% 0.19/0.54 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_478_$sk'])).
% 0.19/0.54 cnf('3', plain, (subr($sk6(c147,firma_1_1),sub_0)),
% 0.19/0.54 inference(resolution,[],['1','2'])).
% 0.19/0.54 cnf('4', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.19/0.54 inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.19/0.54 cnf('5', plain, (obj($sk9(X,$sk6(c147,firma_1_1),Y),X) | ~arg1($sk6(c147,firma_1_1),X) | ~arg2($sk6(c147,firma_1_1),Y)),
% 0.19/0.54 inference(resolution,[],['3','4'])).
% 0.19/0.54 cnf('6', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.19/0.54 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.19/0.54 cnf('7', plain, (arg1($sk6(c147,firma_1_1),c147)),
% 0.19/0.54 inference(resolution,[],['6','2'])).
% 0.19/0.54 cnf('8', plain, (val(c148,bmw_0)),
% 0.19/0.54 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_478_$sk'])).
% 0.19/0.54 cnf('9', 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)),
% 0.19/0.54 inference(cnf_transformation,[],['synth_qa07_007_mira_wp_478_$sk'])).
% 0.19/0.54 cnf('10', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,U) | ~obj(V,Y) | ~sub(Y,firma_1_1) | ~sub(X,name_1_1)),
% 0.19/0.54 inference(factorization,[],['9'])).
% 0.19/0.54 cnf('11', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~obj(Z,Y) | ~sub(Y,firma_1_1) | ~sub(X,name_1_1)),
% 0.19/0.54 inference(factorization,[],['10'])).
% 0.19/0.54 cnf('12', plain, (sub(c148,name_1_1)),
% 0.19/0.54 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_478_$sk'])).
% 0.19/0.54 cnf('13', plain, (~attr(X,c148) | ~obj(Y,X) | ~sub(X,firma_1_1)),
% 0.19/0.54 inference(resolution,[then_simplify],['8','11','12'])).
% 0.19/0.54 cnf('14', plain, (attr(c147,c148)),
% 0.19/0.54 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_478_$sk'])).
% 0.19/0.54 cnf('15', plain, (sub(c147,firma_1_1)),
% 0.19/0.54 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_478_$sk'])).
% 0.19/0.54 cnf('16', plain, (~obj(X3,c147)),
% 0.19/0.54 inference(resolution,[then_simplify],['13','14','15'])).
% 0.19/0.54 cnf('17', plain, (~arg2($sk6(c147,firma_1_1),X)),
% 0.19/0.54 inference(resolution,[then_simplify],['5','7','16'])).
% 0.19/0.54 cnf('18', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.19/0.54 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.19/0.54 cnf('19', plain, (arg2($sk6(c147,firma_1_1),firma_1_1)),
% 0.19/0.54 inference(resolution,[],['18','2'])).
% 0.19/0.54 cnf('20', plain, ($false),
% 0.19/0.54 inference(resolution,[],['17','19'])).
% 0.19/0.54
% 0.19/0.54 % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.19/0.54
% 0.19/0.54 run 5 fork 4 statistics:
% 0.19/0.54 ----------------------------------
% 0.19/0.54 this run seconds: 0.030866
% 0.19/0.54 total seconds: 0.071386
% 0.19/0.54 stat_given_used: 1127
% 0.19/0.54 stat_given_used_at_endgame: 0
% 0.19/0.54 stat_given_candidates: 1391
% 0.19/0.54 stat_given_candidates_at_endgame: 0
% 0.19/0.54 stat_given_candidates_h: 0
% 0.19/0.54 stat_binres_derived_cl: 954
% 0.19/0.54 stat_binres_derived_cl_h: 0
% 0.19/0.54 stat_factor_derived_cl: 25
% 0.19/0.54 stat_para_derived_cl: 0
% 0.19/0.54 stat_tautologies_discarded: 3
% 0.19/0.54 stat_forward_subsumed: 7
% 0.19/0.54 stat_derived_cut: 13
% 0.19/0.54 stat_derived_rewritten: 0
% 0.19/0.54 stat_weight_discarded_building: 0
% 0.19/0.54 stat_weight_discarded_cl: 0
% 0.19/0.54 stat_internlimit_discarded_cl: 0
% 0.19/0.54 stat_simplified: 0 simplified 0 derived 0 given
% 0.19/0.54 stat_kept_cl: 968
% 0.19/0.54 stat_built_cl: 3222
% 0.19/0.54 stat_hyperres_partial_cl: 0
% 0.19/0.54 stat_made_rewriters: 0
% 0.19/0.54 stat_backward_subsumed: 0
% 0.19/0.54 stat_propagated_subsumed: 0
% 0.19/0.54 stat_clsubs_attempted: 2093
% 0.19/0.54 stat_clsubs_fact_groundunit_found: 204
% 0.19/0.54 stat_clsubs_rule_groundunit_found: 0
% 0.19/0.54 stat_clsubs_top_meta_attempted: 236117
% 0.19/0.54 stat_clsubs_top_meta_failed: 234024
% 0.19/0.54 stat_clsubs_top_meta_nonpref_attempted: 236117
% 0.19/0.54 stat_clsubs_top_meta_nonpref_succeeded: 69515
% 0.19/0.54 stat_clsubs_top_meta_pref_attempted: 69515
% 0.19/0.54 stat_clsubs_top_meta_pref1_succeeded: 3848
% 0.19/0.54 stat_clsubs_top_meta_pref2_succeeded: 2424
% 0.19/0.54 stat_clsubs_top_meta_pref3_succeeded: 2093
% 0.19/0.54 stat_clsubs_top_meta_pref_succeeded: 2093
% 0.19/0.54 stat_clsubs_meta_attempted: 5063
% 0.19/0.54 stat_clsubs_meta_failed: 2906
% 0.19/0.54 stat_clsubs_predsymbs_attempted: 0
% 0.19/0.54 stat_clsubs_unit_attempted: 265
% 0.19/0.54 stat_clsubs_full_attempted: 1828
% 0.19/0.54 stat_forwardsubs_attempted: 975
% 0.19/0.54 stat_lit_hash_added: 1652
% 0.19/0.54 stat_lit_hash_computed: 10142
% 0.19/0.54 stat_lit_hash_match_found: 223
% 0.19/0.54 stat_lit_hash_match_miss: 12116
% 0.19/0.54 stat_lit_hash_cut_ok: 12
% 0.19/0.54 stat_lit_strong_cut_ok: 4
% 0.19/0.54 stat_lit_hash_subsume_ok: 7
% 0.19/0.54 clqueue els 10000000 used 1
% 0.19/0.54 clactive els 10000000 used 1128
% 0.19/0.54 clactivesubsume els 10000000 used 3355
% 0.19/0.54 queue_termbuf els 200000000 used 55527
% 0.19/0.54 hyper_termbuf els 100000000 used 1
% 0.19/0.54 active_termbuf els 100000000 used 28798
% 0.19/0.54 varstack els 5000 last used 1
% 0.19/0.54 given_termbuf els 10000000 last used 21
% 0.19/0.54 simplified_termbuf els 10000000 last used 1
% 0.19/0.54 derived_termbuf els 10000000 last used 3
% 0.19/0.54 wr_mallocs: 7838
% 0.19/0.54 wr_callocs: 21
% 0.19/0.54 wr_reallocs: 232
% 0.19/0.54 wr_frees: 4
% 0.19/0.54 wr_malloc_bytes: 4162871428
% 0.19/0.54 wr_calloc_bytes: 112065536
% 0.19/0.54 wr_realloc_bytes: 690568
% 0.19/0.54 wr_realloc_freebytes: 0
% 0.19/0.54 ----------------------------------
%------------------------------------------------------------------------------