TSTP Solution File: CSR115+42 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+42 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n028.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 21:24:29 EDT 2023
% Result : Theorem 0.20s 0.58s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.12/0.13 % Problem : CSR115+42 : TPTP v8.1.2. Released v4.0.0.
% 0.12/0.14 % Command : gkc %s
% 0.14/0.35 % Computer : n028.cluster.edu
% 0.14/0.35 % Model : x86_64 x86_64
% 0.14/0.35 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.14/0.35 % Memory : 8042.1875MB
% 0.14/0.35 % OS : Linux 3.10.0-693.el7.x86_64
% 0.14/0.35 % CPULimit : 300
% 0.14/0.35 % WCLimit : 300
% 0.14/0.35 % DateTime : Mon Aug 28 11:48:54 EDT 2023
% 0.14/0.35 % CPUTime :
% 0.20/0.48
% 0.20/0.48 input clause set summed statistics:
% 0.20/0.48 ----------------------------------
% 0.20/0.48 in_clause_count: 10549
% 0.20/0.48 in_rule_clause_count: 337
% 0.20/0.48 in_fact_clause_count: 10212
% 0.20/0.48 in_answer_clause_count: 0
% 0.20/0.48 in_ground_clause_count: 10213
% 0.20/0.48 in_unit_clause_count: 10215
% 0.20/0.48 in_horn_clause_count: 10539
% 0.20/0.48 in_pos_clause_count: 10219
% 0.20/0.48 in_neg_clause_count: 11
% 0.20/0.48 in_poseq_clause_count: 0
% 0.20/0.48 in_negeq_clause_count: 0
% 0.20/0.48 in_unitposeq_clause_count: 0
% 0.20/0.48 in_chain_clause_count: 0
% 0.20/0.48 in_min_length: 1
% 0.20/0.48 in_max_length: 9
% 0.20/0.48 in_min_depth: 1
% 0.20/0.48 in_max_depth: 5
% 0.20/0.48 in_min_size: 3
% 0.20/0.48 in_max_size: 30
% 0.20/0.48 in_min_vars: 0
% 0.20/0.48 in_max_vars: 7
% 0.20/0.48 in_extaxiom_count: 10394
% 0.20/0.48 in_axiom_count: 0
% 0.20/0.48 in_assumption_count: 154
% 0.20/0.48 in_goal_count: 1
% 0.20/0.48 in_neg_goal_count: 1
% 0.20/0.48 in_pos_goal_count: 0
% 0.20/0.48 in_posunit_goal_count: 0
% 0.20/0.48
% 0.20/0.48 auto guide:
% 0.20/0.48 -----------
% 0.20/0.48 {
% 0.20/0.48 "print":1,
% 0.20/0.48 "print_level": 15,
% 0.20/0.48 "max_size": 0,
% 0.20/0.48 "max_depth": 0,
% 0.20/0.48 "max_length": 0,
% 0.20/0.48 "max_dseconds": 0,
% 0.20/0.48 "equality":0,
% 0.20/0.48 "runs":[
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.48 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.48 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.48 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.48 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.48 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.48 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.48 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.48
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.48 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.48 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.48 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.48 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.48 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.20/0.48 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.48 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.48 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.20/0.48
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.48 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.48 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.48 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.48 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.20/0.48 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.48 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.48 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.20/0.48
% 0.20/0.48 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.48 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.48 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.48 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.48
% 0.20/0.48 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.20/0.48
% 0.20/0.48 ]}
% 0.20/0.48
% 0.20/0.48
% 0.20/0.48 **** run 1 fork 0 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.20/0.48
% 0.20/0.48 **** run 2 fork 1 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.20/0.48
% 0.20/0.48 **** run 3 fork 2 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.20/0.48
% 0.20/0.48 **** run 4 fork 3 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.20/0.48
% 0.20/0.48 **** run 5 fork 4 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.20/0.48
% 0.20/0.48 **** run 6 fork 5 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.20/0.48
% 0.20/0.48 **** run 8 fork 7 starts with strategy
% 0.20/0.48
% 0.20/0.48 **** run 7 fork 6 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.20/0.48 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.20/0.58
% 0.20/0.58
% 0.20/0.58 result: proof found
% 0.20/0.58 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.58 by run 1 fork 0 strategy {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.20/0.58 % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.58
% 0.20/0.58 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.58 fof('synth_qa07_007_mira_news_1246_$sk', plain, (~val(X7,bmw_0) | (~val(X1,bmw_0) | (~sub(X7,name_1_1) | (~sub(X2,firma_1_1) | (~sub(X1,name_1_1) | (~obj(X3,X2) | (~attr(X6,X5) | (~attr(X4,X7) | ~attr(X2,X1))))))))),
% 0.20/0.58 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1246'])).
% 0.20/0.58 fof('synth_qa07_007_mira_news_1246', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : ((((((((attr(X0,X1) & attr(X3,X2)) & attr(X5,X6)) & obj(X4,X0)) & sub(X1,name_1_1)) & sub(X0,firma_1_1)) & sub(X2,name_1_1)) & val(X1,bmw_0)) & val(X2,bmw_0))),
% 0.20/0.58 input).
% 0.20/0.58 fof('ave07_era5_synth_qa07_007_mira_news_1246_$sk', plain, (varia(fabrikant_1_1,varia_c) & (refer(fabrikant_1_1,refer_c) & (quant(fabrikant_1_1,one) & (gener(fabrikant_1_1,ge) & (fact(fabrikant_1_1,real) & (etype(fabrikant_1_1,int0) & (card(fabrikant_1_1,int1) & (sort(fabrikant_1_1,io) & (sort(fabrikant_1_1,d) & (varia(masse_1_1,varia_c) & (refer(masse_1_1,refer_c) & (quant(masse_1_1,quant_c) & (gener(masse_1_1,ge) & (fact(masse_1_1,real) & (etype(masse_1_1,int1) & (card(masse_1_1,card_c) & (sort(masse_1_1,io) & (varia(c2419,varia_c) & (refer(c2419,refer_c) & (quant(c2419,quant_c) & (gener(c2419,gener_c) & (fact(c2419,real) & (etype(c2419,etype_c) & (card(c2419,card_c) & (sort(c2419,ent) & (varia(medaille_1_1,varia_c) & (refer(medaille_1_1,refer_c) & (quant(medaille_1_1,one) & (gener(medaille_1_1,ge) & (fact(medaille_1_1,real) & (etype(medaille_1_1,int0) & (card(medaille_1_1,int1) & (sort(medaille_1_1,d) & (varia(c2283,con) & (refer(c2283,det) & (quant(c2283,one) & (gener(c2283,sp) & (fact(c2283,real) & (etype(c2283,int0) & (card(c2283,int1) & (sort(c2283,d) & (varia(seite_1_1,varia_c) & (refer(seite_1_1,refer_c) & (quant(seite_1_1,one) & (gener(seite_1_1,ge) & (fact(seite_1_1,real) & (etype(seite_1_1,int0) & (card(seite_1_1,int1) & (sort(seite_1_1,io) & (sort(seite_1_1,d) & (varia(c2279,varia_c) & (refer(c2279,indet) & (quant(c2279,one) & (gener(c2279,sp) & (fact(c2279,real) & (etype(c2279,int0) & (card(c2279,int1) & (sort(c2279,io) & (sort(c2279,d) & (varia(massenhersteller_1_1,varia_c) & (refer(massenhersteller_1_1,refer_c) & (quant(massenhersteller_1_1,one) & (gener(massenhersteller_1_1,ge) & (fact(massenhersteller_1_1,real) & (etype(massenhersteller_1_1,int0) & (card(massenhersteller_1_1,int1) & (sort(massenhersteller_1_1,io) & (sort(massenhersteller_1_1,d) & (card(letzt_1_1,card_c) & (sort(letzt_1_1,oq) & (varia(es_2_1,varia_c) & (refer(es_2_1,refer_c) & (quant(es_2_1,one) & (gener(es_2_1,ge) & (fact(es_2_1,real) & (etype(es_2_1,int0) & (card(es_2_1,int1) & (sort(es_2_1,o) & (varia(c2258,varia_c) & (refer(c2258,indet) & (quant(c2258,mult) & (gener(c2258,gener_c) & (fact(c2258,real) & (etype(c2258,int1) & (card(c2258,cons(x_constant,cons(int1,nil))) & (sort(c2258,o) & (varia(c2259,varia_c) & (refer(c2259,refer_c) & (quant(c2259,one) & (gener(c2259,ge) & (fact(c2259,real) & (etype(c2259,int0) & (card(c2259,int1) & (sort(c2259,io) & (sort(c2259,d) & (sort(britisch__1_1,nq) & (varia(c2257,varia_c) & (refer(c2257,refer_c) & (quant(c2257,one) & (gener(c2257,gener_c) & (fact(c2257,real) & (etype(c2257,int0) & (card(c2257,int1) & (sort(c2257,io) & (sort(c2257,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(c2254,varia_c) & (refer(c2254,indet) & (quant(c2254,one) & (gener(c2254,sp) & (fact(c2254,real) & (etype(c2254,int0) & (card(c2254,int1) & (sort(c2254,na) & (varia(c2253,con) & (refer(c2253,det) & (quant(c2253,one) & (gener(c2253,sp) & (fact(c2253,real) & (etype(c2253,int0) & (card(c2253,int1) & (sort(c2253,io) & (sort(c2253,d) & (sub(massenhersteller_1_1,fabrikant_1_1) & (assoc(massenhersteller_1_1,masse_1_1) & (tupl_p5(c2419,c2253,c2257,c2258,c2279) & (sub(c2283,medaille_1_1) & (attch(c2283,c2279) & (sub(c2279,seite_1_1) & (pmod(c2259,letzt_1_1,massenhersteller_1_1) & (pred(c2258,es_2_1) & (sub(c2257,c2259) & (prop(c2257,britisch__1_1) & (val(c2254,bmw_0) & (sub(c2254,name_1_1) & (sub(c2253,firma_1_1) & attr(c2253,c2254)))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.20/0.58 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1246'])).
% 0.20/0.58 fof('ave07_era5_synth_qa07_007_mira_news_1246', hypothesis, (((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((attr(c2253,c2254) & sub(c2253,firma_1_1)) & sub(c2254,name_1_1)) & val(c2254,bmw_0)) & prop(c2257,britisch__1_1)) & sub(c2257,c2259)) & pred(c2258,es_2_1)) & pmod(c2259,letzt_1_1,massenhersteller_1_1)) & sub(c2279,seite_1_1)) & attch(c2283,c2279)) & sub(c2283,medaille_1_1)) & tupl_p5(c2419,c2253,c2257,c2258,c2279)) & assoc(massenhersteller_1_1,masse_1_1)) & sub(massenhersteller_1_1,fabrikant_1_1)) & sort(c2253,d)) & sort(c2253,io)) & card(c2253,int1)) & etype(c2253,int0)) & fact(c2253,real)) & gener(c2253,sp)) & quant(c2253,one)) & refer(c2253,det)) & varia(c2253,con)) & sort(c2254,na)) & card(c2254,int1)) & etype(c2254,int0)) & fact(c2254,real)) & gener(c2254,sp)) & quant(c2254,one)) & refer(c2254,indet)) & varia(c2254,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(c2257,d)) & sort(c2257,io)) & card(c2257,int1)) & etype(c2257,int0)) & fact(c2257,real)) & gener(c2257,gener_c)) & quant(c2257,one)) & refer(c2257,refer_c)) & varia(c2257,varia_c)) & sort(britisch__1_1,nq)) & sort(c2259,d)) & sort(c2259,io)) & card(c2259,int1)) & etype(c2259,int0)) & fact(c2259,real)) & gener(c2259,ge)) & quant(c2259,one)) & refer(c2259,refer_c)) & varia(c2259,varia_c)) & sort(c2258,o)) & card(c2258,cons(x_constant,cons(int1,nil)))) & etype(c2258,int1)) & fact(c2258,real)) & gener(c2258,gener_c)) & quant(c2258,mult)) & refer(c2258,indet)) & varia(c2258,varia_c)) & sort(es_2_1,o)) & card(es_2_1,int1)) & etype(es_2_1,int0)) & fact(es_2_1,real)) & gener(es_2_1,ge)) & quant(es_2_1,one)) & refer(es_2_1,refer_c)) & varia(es_2_1,varia_c)) & sort(letzt_1_1,oq)) & card(letzt_1_1,card_c)) & sort(massenhersteller_1_1,d)) & sort(massenhersteller_1_1,io)) & card(massenhersteller_1_1,int1)) & etype(massenhersteller_1_1,int0)) & fact(massenhersteller_1_1,real)) & gener(massenhersteller_1_1,ge)) & quant(massenhersteller_1_1,one)) & refer(massenhersteller_1_1,refer_c)) & varia(massenhersteller_1_1,varia_c)) & sort(c2279,d)) & sort(c2279,io)) & card(c2279,int1)) & etype(c2279,int0)) & fact(c2279,real)) & gener(c2279,sp)) & quant(c2279,one)) & refer(c2279,indet)) & varia(c2279,varia_c)) & sort(seite_1_1,d)) & sort(seite_1_1,io)) & card(seite_1_1,int1)) & etype(seite_1_1,int0)) & fact(seite_1_1,real)) & gener(seite_1_1,ge)) & quant(seite_1_1,one)) & refer(seite_1_1,refer_c)) & varia(seite_1_1,varia_c)) & sort(c2283,d)) & card(c2283,int1)) & etype(c2283,int0)) & fact(c2283,real)) & gener(c2283,sp)) & quant(c2283,one)) & refer(c2283,det)) & varia(c2283,con)) & sort(medaille_1_1,d)) & card(medaille_1_1,int1)) & etype(medaille_1_1,int0)) & fact(medaille_1_1,real)) & gener(medaille_1_1,ge)) & quant(medaille_1_1,one)) & refer(medaille_1_1,refer_c)) & varia(medaille_1_1,varia_c)) & sort(c2419,ent)) & card(c2419,card_c)) & etype(c2419,etype_c)) & fact(c2419,real)) & gener(c2419,gener_c)) & quant(c2419,quant_c)) & refer(c2419,refer_c)) & varia(c2419,varia_c)) & sort(masse_1_1,io)) & card(masse_1_1,card_c)) & etype(masse_1_1,int1)) & fact(masse_1_1,real)) & gener(masse_1_1,ge)) & quant(masse_1_1,quant_c)) & refer(masse_1_1,refer_c)) & varia(masse_1_1,varia_c)) & sort(fabrikant_1_1,d)) & sort(fabrikant_1_1,io)) & card(fabrikant_1_1,int1)) & etype(fabrikant_1_1,int0)) & fact(fabrikant_1_1,real)) & gener(fabrikant_1_1,ge)) & quant(fabrikant_1_1,one)) & refer(fabrikant_1_1,refer_c)) & varia(fabrikant_1_1,varia_c)),
% 0.20/0.58 input).
% 0.20/0.58 fof('$inc_sub__sub_0_expansion_$sk', plain, ((subr($sk6(X1,X2),sub_0) & (arg2($sk6(X1,X2),X2) & arg1($sk6(X1,X2),X1))) | ~sub(X1,X2)),
% 0.20/0.58 inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.20/0.58 fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.20/0.58 input).
% 0.20/0.58 fof('$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($sk7(X1,X2,X3),X1)))))))) | (~subr(X2,sub_0) | (~arg2(X2,X3) | ~arg1(X2,X1)))),
% 0.20/0.58 inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.20/0.58 fof('$inc_sub__bezeichnen_1_1_als', axiom, (! [X0,X1,X2] : (((arg1(X0,X1) & arg2(X0,X2)) & subr(X0,sub_0)) => (? [X3,X4,X5] : (((((((arg1(X4,X1) & arg2(X4,X5)) & hsit(X0,X3)) & mcont(X3,X4)) & obj(X3,X1)) & sub(X5,X2)) & subr(X4,rprs_0)) & subs(X3,bezeichnen_1_1))))),
% 0.20/0.58 input).
% 0.20/0.58 cnf('1', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(U,V) | ~attr(W,X) | ~obj(X2006,W) | ~sub(W,firma_1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 0.20/0.58 inference(cnf_transformation,[],['synth_qa07_007_mira_news_1246_$sk'])).
% 0.20/0.58 cnf('2', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,U) | ~attr(V,X) | ~obj(W,Y) | ~sub(Y,firma_1_1) | ~sub(X,name_1_1)),
% 0.20/0.58 inference(factorization,[],['1'])).
% 0.20/0.58 cnf('3', plain, (val(c2254,bmw_0)),
% 0.20/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1246_$sk'])).
% 0.20/0.58 cnf('4', plain, (sub(c2254,name_1_1)),
% 0.20/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1246_$sk'])).
% 0.20/0.58 cnf('5', plain, (~attr(X,c2254) | ~attr(Y,Z) | ~attr(U,c2254) | ~obj(V,U) | ~sub(U,firma_1_1)),
% 0.20/0.58 inference(resolution,[then_simplify],['2','3','4'])).
% 0.20/0.58 cnf('6', plain, (~attr(X,c2254) | ~attr(Y,Z) | ~obj(U,X) | ~sub(X,firma_1_1)),
% 0.20/0.58 inference(factorization,[],['5'])).
% 0.20/0.58 cnf('7', plain, (~attr(X,c2254) | ~obj(Y,X) | ~sub(X,firma_1_1)),
% 0.20/0.58 inference(factorization,[],['6'])).
% 0.20/0.58 cnf('8', plain, (attr(c2253,c2254)),
% 0.20/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1246_$sk'])).
% 0.20/0.58 cnf('9', plain, (sub(c2253,firma_1_1)),
% 0.20/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1246_$sk'])).
% 0.20/0.58 cnf('10', plain, (~obj(X,c2253)),
% 0.20/0.58 inference(resolution,[then_simplify],['7','8','9'])).
% 0.20/0.58 cnf('11', plain, (sub(c2253,firma_1_1)),
% 0.20/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1246_$sk'])).
% 0.20/0.58 cnf('12', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.20/0.58 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.58 cnf('13', plain, (arg2($sk6(c2253,firma_1_1),firma_1_1)),
% 0.20/0.58 inference(resolution,[],['11','12'])).
% 0.20/0.58 cnf('14', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.20/0.58 inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.20/0.58 cnf('15', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.20/0.58 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.58 cnf('16', plain, (subr($sk6(c2253,firma_1_1),sub_0)),
% 0.20/0.58 inference(resolution,[],['11','15'])).
% 0.20/0.58 cnf('17', plain, (obj($sk9(X,$sk6(c2253,firma_1_1),firma_1_1),X) | ~arg1($sk6(c2253,firma_1_1),X)),
% 0.20/0.58 inference(resolution,[then_simplify],['13','14','16'])).
% 0.20/0.58 cnf('18', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.20/0.58 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.58 cnf('19', plain, (arg1($sk6(c2253,firma_1_1),c2253)),
% 0.20/0.58 inference(resolution,[],['11','18'])).
% 0.20/0.58 cnf('20', plain, ($false),
% 0.20/0.58 inference(resolution,[then_simplify],['10','17','19'])).
% 0.20/0.58
% 0.20/0.58 % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.58
% 0.20/0.58 run 1 fork 0 statistics:
% 0.20/0.58 ----------------------------------
% 0.20/0.58 this run seconds: 0.027907
% 0.20/0.58 total seconds: 0.097419
% 0.20/0.58 stat_given_used: 869
% 0.20/0.58 stat_given_used_at_endgame: 0
% 0.20/0.58 stat_given_candidates: 1046
% 0.20/0.58 stat_given_candidates_at_endgame: 0
% 0.20/0.58 stat_given_candidates_h: 0
% 0.20/0.58 stat_binres_derived_cl: 1225
% 0.20/0.58 stat_binres_derived_cl_h: 0
% 0.20/0.58 stat_factor_derived_cl: 21
% 0.20/0.58 stat_para_derived_cl: 0
% 0.20/0.58 stat_tautologies_discarded: 0
% 0.20/0.58 stat_forward_subsumed: 10
% 0.20/0.58 stat_derived_cut: 119
% 0.20/0.58 stat_derived_rewritten: 0
% 0.20/0.58 stat_weight_discarded_building: 0
% 0.20/0.58 stat_weight_discarded_cl: 0
% 0.20/0.58 stat_internlimit_discarded_cl: 0
% 0.20/0.58 stat_simplified: 1 simplified 0 derived 0 given
% 0.20/0.58 stat_kept_cl: 1235
% 0.20/0.58 stat_built_cl: 23762
% 0.20/0.58 stat_hyperres_partial_cl: 0
% 0.20/0.58 stat_made_rewriters: 0
% 0.20/0.58 stat_backward_subsumed: 0
% 0.20/0.58 stat_propagated_subsumed: 0
% 0.20/0.58 stat_clsubs_attempted: 529
% 0.20/0.58 stat_clsubs_fact_groundunit_found: 163
% 0.20/0.58 stat_clsubs_rule_groundunit_found: 1
% 0.20/0.58 stat_clsubs_top_meta_attempted: 139737
% 0.20/0.58 stat_clsubs_top_meta_failed: 139208
% 0.20/0.58 stat_clsubs_top_meta_nonpref_attempted: 139737
% 0.20/0.58 stat_clsubs_top_meta_nonpref_succeeded: 87723
% 0.20/0.58 stat_clsubs_top_meta_pref_attempted: 87723
% 0.20/0.58 stat_clsubs_top_meta_pref1_succeeded: 4084
% 0.20/0.58 stat_clsubs_top_meta_pref2_succeeded: 681
% 0.20/0.58 stat_clsubs_top_meta_pref3_succeeded: 529
% 0.20/0.58 stat_clsubs_top_meta_pref_succeeded: 529
% 0.20/0.58 stat_clsubs_meta_attempted: 929
% 0.20/0.58 stat_clsubs_meta_failed: 344
% 0.20/0.58 stat_clsubs_predsymbs_attempted: 0
% 0.20/0.58 stat_clsubs_unit_attempted: 66
% 0.20/0.58 stat_clsubs_full_attempted: 463
% 0.20/0.58 stat_forwardsubs_attempted: 1246
% 0.20/0.58 stat_lit_hash_added: 21692
% 0.20/0.58 stat_lit_hash_computed: 31850
% 0.20/0.58 stat_lit_hash_match_found: 296
% 0.20/0.58 stat_lit_hash_match_miss: 14756
% 0.20/0.58 stat_lit_hash_cut_ok: 122
% 0.20/0.58 stat_lit_strong_cut_ok: 0
% 0.20/0.58 stat_lit_hash_subsume_ok: 10
% 0.20/0.58 clqueue els 10000000 used 1
% 0.20/0.58 clactive els 10000000 used 11264
% 0.20/0.58 clactivesubsume els 10000000 used 3145
% 0.20/0.58 queue_termbuf els 200000000 used 65083
% 0.20/0.58 hyper_termbuf els 100000000 used 1
% 0.20/0.58 active_termbuf els 100000000 used 104758
% 0.20/0.58 varstack els 5000 last used 1
% 0.20/0.58 given_termbuf els 10000000 last used 1
% 0.20/0.58 simplified_termbuf els 10000000 last used 1
% 0.20/0.58 derived_termbuf els 10000000 last used 29
% 0.20/0.58 wr_mallocs: 124066
% 0.20/0.58 wr_callocs: 21
% 0.20/0.58 wr_reallocs: 424
% 0.20/0.58 wr_frees: 2
% 0.20/0.58 wr_malloc_bytes: 4166888804
% 0.20/0.58 wr_calloc_bytes: 112065536
% 0.20/0.58 wr_realloc_bytes: 708872
% 0.20/0.58 wr_realloc_freebytes: 0
% 0.20/0.58 ----------------------------------
%------------------------------------------------------------------------------