%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+33 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n002.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 21:24:27 EDT 2023
% Result : Theorem 0.20s 0.54s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.12/0.12 % Problem : CSR115+33 : TPTP v8.1.2. Released v4.0.0.
% 0.12/0.13 % Command : gkc %s
% 0.13/0.34 % Computer : n002.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 11:04:04 EDT 2023
% 0.13/0.34 % CPUTime :
% 0.20/0.47
% 0.20/0.47 input clause set summed statistics:
% 0.20/0.47 ----------------------------------
% 0.20/0.47 in_clause_count: 10594
% 0.20/0.47 in_rule_clause_count: 336
% 0.20/0.47 in_fact_clause_count: 10258
% 0.20/0.47 in_answer_clause_count: 0
% 0.20/0.47 in_ground_clause_count: 10258
% 0.20/0.47 in_unit_clause_count: 10260
% 0.20/0.47 in_horn_clause_count: 10584
% 0.20/0.47 in_pos_clause_count: 10264
% 0.20/0.47 in_neg_clause_count: 11
% 0.20/0.47 in_poseq_clause_count: 0
% 0.20/0.47 in_negeq_clause_count: 0
% 0.20/0.47 in_unitposeq_clause_count: 0
% 0.20/0.47 in_chain_clause_count: 0
% 0.20/0.47 in_min_length: 1
% 0.20/0.47 in_max_length: 8
% 0.20/0.47 in_min_depth: 1
% 0.20/0.47 in_max_depth: 5
% 0.20/0.47 in_min_size: 3
% 0.20/0.47 in_max_size: 30
% 0.20/0.47 in_min_vars: 0
% 0.20/0.47 in_max_vars: 7
% 0.20/0.47 in_extaxiom_count: 10394
% 0.20/0.47 in_axiom_count: 0
% 0.20/0.47 in_assumption_count: 199
% 0.20/0.47 in_goal_count: 1
% 0.20/0.47 in_neg_goal_count: 1
% 0.20/0.47 in_pos_goal_count: 0
% 0.20/0.47 in_posunit_goal_count: 0
% 0.20/0.47
% 0.20/0.47 auto guide:
% 0.20/0.47 -----------
% 0.20/0.47 {
% 0.20/0.47 "print":1,
% 0.20/0.47 "print_level": 15,
% 0.20/0.47 "max_size": 0,
% 0.20/0.47 "max_depth": 0,
% 0.20/0.47 "max_length": 0,
% 0.20/0.47 "max_dseconds": 0,
% 0.20/0.47 "equality":0,
% 0.20/0.47 "runs":[
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.47
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.20/0.47 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.20/0.47
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.20/0.47 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.20/0.47
% 0.20/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.47
% 0.20/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.20/0.47
% 0.20/0.47 ]}
% 0.20/0.47
% 0.20/0.47
% 0.20/0.47 **** run 1 fork 0 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.20/0.47
% 0.20/0.47 **** run 2 fork 1 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.20/0.47
% 0.20/0.47 **** run 3 fork 2 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.20/0.47
% 0.20/0.47 **** run 4 fork 3 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.20/0.47
% 0.20/0.47 **** run 5 fork 4 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.20/0.47
% 0.20/0.47 **** run 6 fork 5 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.20/0.47
% 0.20/0.47 **** run 7 fork 6 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.20/0.48
% 0.20/0.48 **** run 8 fork 7 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.20/0.54
% 0.20/0.54
% 0.20/0.54 result: proof found
% 0.20/0.54 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.54 by run 7 fork 6 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.20/0.54 % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.54
% 0.20/0.54 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.54 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)))),
% 0.20/0.54 inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.20/0.54 fof('$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))))),
% 0.20/0.54 input).
% 0.20/0.54 fof('$inc_sub_sub__sub_$sk', plain, (sub(X3,X2) | (~sub(X1,X2) | ~sub(X3,X1))),
% 0.20/0.54 inference(negpush_and_skolemize,[],['$inc_sub_sub__sub'])).
% 0.20/0.54 fof('$inc_sub_sub__sub', axiom, (! [X0,X1,X2] : ((sub(X0,X1) & sub(X1,X2)) => sub(X0,X2))),
% 0.20/0.54 input).
% 0.20/0.54 fof('ave07_era5_synth_qa07_007_mira_news_1217_$sk', plain, (varia(ordnung_1_1,varia_c) & (refer(ordnung_1_1,refer_c) & (quant(ordnung_1_1,one) & (gener(ordnung_1_1,ge) & (fact(ordnung_1_1,real) & (etype(ordnung_1_1,int0) & (card(ordnung_1_1,int1) & (sort(ordnung_1_1,io) & (sort(ordnung_1_1,as) & (varia(gr__366__337e_1_1,varia_c) & (refer(gr__366__337e_1_1,refer_c) & (quant(gr__366__337e_1_1,one) & (gener(gr__366__337e_1_1,ge) & (fact(gr__366__337e_1_1,real) & (etype(gr__366__337e_1_1,int0) & (card(gr__366__337e_1_1,int1) & (sort(gr__366__337e_1_1,oa) & (varia(c8677,varia_c) & (refer(c8677,refer_c) & (quant(c8677,quant_c) & (gener(c8677,gener_c) & (fact(c8677,real) & (etype(c8677,etype_c) & (card(c8677,card_c) & (sort(c8677,ent) & (varia(gr__366ssenordnung_1_1,varia_c) & (refer(gr__366ssenordnung_1_1,refer_c) & (quant(gr__366ssenordnung_1_1,one) & (gener(gr__366ssenordnung_1_1,ge) & (fact(gr__366ssenordnung_1_1,real) & (etype(gr__366ssenordnung_1_1,int0) & (card(gr__366ssenordnung_1_1,int1) & (sort(gr__366ssenordnung_1_1,oa) & (sort(gr__366ssenordnung_1_1,io) & (sort(neo_1_1,nq) & (varia(c7518,varia_c) & (refer(c7518,indet) & (quant(c7518,one) & (gener(c7518,sp) & (fact(c7518,real) & (etype(c7518,int0) & (card(c7518,int1) & (sort(c7518,oa) & (sort(c7518,io) & (sort(rover_0,fe) & (sort(britisch__1_1,nq) & (varia(c7514,varia_c) & (refer(c7514,indet) & (quant(c7514,one) & (gener(c7514,sp) & (fact(c7514,real) & (etype(c7514,int0) & (card(c7514,int1) & (sort(c7514,na) & (varia(c7513,con) & (refer(c7513,det) & (quant(c7513,one) & (gener(c7513,sp) & (fact(c7513,real) & (etype(c7513,int0) & (card(c7513,int1) & (sort(c7513,io) & (sort(c7513,d) & (varia(ankauf__1_1,varia_c) & (refer(ankauf__1_1,refer_c) & (quant(ankauf__1_1,one) & (gener(ankauf__1_1,ge) & (fact(ankauf__1_1,real) & (etype(ankauf__1_1,int0) & (card(ankauf__1_1,int1) & (sort(ankauf__1_1,ad) & (varia(c7474,con) & (refer(c7474,det) & (quant(c7474,one) & (gener(c7474,sp) & (fact(c7474,real) & (etype(c7474,int0) & (card(c7474,int1) & (sort(c7474,ad) & (varia(bmw_1_1,varia_c) & (refer(bmw_1_1,refer_c) & (quant(bmw_1_1,one) & (gener(bmw_1_1,ge) & (fact(bmw_1_1,real) & (etype(bmw_1_1,int0) & (card(bmw_1_1,int1) & (sort(bmw_1_1,d) & (varia(c7464,varia_c) & (refer(c7464,refer_c) & (quant(c7464,one) & (gener(c7464,gener_c) & (fact(c7464,real) & (etype(c7464,int0) & (card(c7464,int1) & (sort(c7464,d) & (sort(dpa_0,fe) & (varia(einrichtung_1_2,varia_c) & (refer(einrichtung_1_2,refer_c) & (quant(einrichtung_1_2,quant_c) & (gener(einrichtung_1_2,ge) & (fact(einrichtung_1_2,real) & (etype(einrichtung_1_2,int1) & (card(einrichtung_1_2,card_c) & (sort(einrichtung_1_2,io) & (sort(einrichtung_1_2,d) & (varia(c7462,varia_c) & (refer(c7462,indet) & (quant(c7462,one) & (gener(c7462,sp) & (fact(c7462,real) & (etype(c7462,int0) & (card(c7462,int1) & (sort(c7462,na) & (varia(c7461,con) & (refer(c7461,det) & (quant(c7461,one) & (gener(c7461,sp) & (fact(c7461,real) & (etype(c7461,int1) & (card(c7461,int1) & (sort(c7461,io) & (sort(c7461,d) & (sort(m__374nchen_0,fe) & (varia(name_1_1,varia_c) & (refer(name_1_1,refer_c) & (quant(name_1_1,one) & (gener(name_1_1,ge) & (fact(name_1_1,real) & (etype(name_1_1,int0) & (card(name_1_1,int1) & (sort(name_1_1,na) & (varia(stadt__1_1,varia_c) & (refer(stadt__1_1,refer_c) & (quant(stadt__1_1,one) & (gener(stadt__1_1,ge) & (fact(stadt__1_1,real) & (etype(stadt__1_1,int0) & (card(stadt__1_1,int1) & (sort(stadt__1_1,io) & (sort(stadt__1_1,d) & (varia(c7457,varia_c) & (refer(c7457,indet) & (quant(c7457,one) & (gener(c7457,sp) & (fact(c7457,real) & (etype(c7457,int0) & (card(c7457,int1) & (sort(c7457,na) & (varia(c7456,con) & (refer(c7456,det) & (quant(c7456,one) & (gener(c7456,sp) & (fact(c7456,real) & (etype(c7456,int0) & (card(c7456,int1) & (sort(c7456,io) & (sort(c7456,d) & (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) & (sort(automobil_1_1,tq) & (varia(autobauer_1_1,varia_c) & (refer(autobauer_1_1,refer_c) & (quant(autobauer_1_1,one) & (gener(autobauer_1_1,ge) & (fact(autobauer_1_1,real) & (etype(autobauer_1_1,int0) & (card(autobauer_1_1,int1) & (sort(autobauer_1_1,io) & (sort(autobauer_1_1,d) & (sub(gr__366ssenordnung_1_1,ordnung_1_1) & (assoc(gr__366ssenordnung_1_1,gr__366__337e_1_1) & (tupl_p6(c8677,c7456,c7461,c7464,c7474,c7518) & (sub(c7518,gr__366ssenordnung_1_1) & (prop(c7518,neo_1_1) & (val(c7514,rover_0) & (sub(c7514,name_1_1) & (sub(c7513,autobauer_1_1) & (prop(c7513,britisch__1_1) & (attr(c7513,c7514) & (attch(c7513,c7474) & (subs(c7474,ankauf__1_1) & (sub(c7464,bmw_1_1) & (val(c7462,dpa_0) & (sub(c7462,name_1_1) & (sub(c7461,einrichtung_1_2) & (attr(c7461,c7462) & (val(c7457,m__374nchen_0) & (sub(c7457,name_1_1) & (sub(c7456,stadt__1_1) & (attr(c7456,c7457) & (sub(autobauer_1_1,fabrikant_1_1) & assoc(autobauer_1_1,automobil_1_1))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.20/0.54 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1217'])).
% 0.20/0.54 fof('ave07_era5_synth_qa07_007_mira_news_1217', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((assoc(autobauer_1_1,automobil_1_1) & sub(autobauer_1_1,fabrikant_1_1)) & attr(c7456,c7457)) & sub(c7456,stadt__1_1)) & sub(c7457,name_1_1)) & val(c7457,m__374nchen_0)) & attr(c7461,c7462)) & sub(c7461,einrichtung_1_2)) & sub(c7462,name_1_1)) & val(c7462,dpa_0)) & sub(c7464,bmw_1_1)) & subs(c7474,ankauf__1_1)) & attch(c7513,c7474)) & attr(c7513,c7514)) & prop(c7513,britisch__1_1)) & sub(c7513,autobauer_1_1)) & sub(c7514,name_1_1)) & val(c7514,rover_0)) & prop(c7518,neo_1_1)) & sub(c7518,gr__366ssenordnung_1_1)) & tupl_p6(c8677,c7456,c7461,c7464,c7474,c7518)) & assoc(gr__366ssenordnung_1_1,gr__366__337e_1_1)) & sub(gr__366ssenordnung_1_1,ordnung_1_1)) & sort(autobauer_1_1,d)) & sort(autobauer_1_1,io)) & card(autobauer_1_1,int1)) & etype(autobauer_1_1,int0)) & fact(autobauer_1_1,real)) & gener(autobauer_1_1,ge)) & quant(autobauer_1_1,one)) & refer(autobauer_1_1,refer_c)) & varia(autobauer_1_1,varia_c)) & sort(automobil_1_1,tq)) & 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)) & sort(c7456,d)) & sort(c7456,io)) & card(c7456,int1)) & etype(c7456,int0)) & fact(c7456,real)) & gener(c7456,sp)) & quant(c7456,one)) & refer(c7456,det)) & varia(c7456,con)) & sort(c7457,na)) & card(c7457,int1)) & etype(c7457,int0)) & fact(c7457,real)) & gener(c7457,sp)) & quant(c7457,one)) & refer(c7457,indet)) & varia(c7457,varia_c)) & sort(stadt__1_1,d)) & sort(stadt__1_1,io)) & card(stadt__1_1,int1)) & etype(stadt__1_1,int0)) & fact(stadt__1_1,real)) & gener(stadt__1_1,ge)) & quant(stadt__1_1,one)) & refer(stadt__1_1,refer_c)) & varia(stadt__1_1,varia_c)) & sort(name_1_1,na)) & card(name_1_1,int1)) & etype(name_1_1,int0)) & fact(name_1_1,real)) & gener(name_1_1,ge)) & quant(name_1_1,one)) & refer(name_1_1,refer_c)) & varia(name_1_1,varia_c)) & sort(m__374nchen_0,fe)) & sort(c7461,d)) & sort(c7461,io)) & card(c7461,int1)) & etype(c7461,int1)) & fact(c7461,real)) & gener(c7461,sp)) & quant(c7461,one)) & refer(c7461,det)) & varia(c7461,con)) & sort(c7462,na)) & card(c7462,int1)) & etype(c7462,int0)) & fact(c7462,real)) & gener(c7462,sp)) & quant(c7462,one)) & refer(c7462,indet)) & varia(c7462,varia_c)) & sort(einrichtung_1_2,d)) & sort(einrichtung_1_2,io)) & card(einrichtung_1_2,card_c)) & etype(einrichtung_1_2,int1)) & fact(einrichtung_1_2,real)) & gener(einrichtung_1_2,ge)) & quant(einrichtung_1_2,quant_c)) & refer(einrichtung_1_2,refer_c)) & varia(einrichtung_1_2,varia_c)) & sort(dpa_0,fe)) & sort(c7464,d)) & card(c7464,int1)) & etype(c7464,int0)) & fact(c7464,real)) & gener(c7464,gener_c)) & quant(c7464,one)) & refer(c7464,refer_c)) & varia(c7464,varia_c)) & sort(bmw_1_1,d)) & card(bmw_1_1,int1)) & etype(bmw_1_1,int0)) & fact(bmw_1_1,real)) & gener(bmw_1_1,ge)) & quant(bmw_1_1,one)) & refer(bmw_1_1,refer_c)) & varia(bmw_1_1,varia_c)) & sort(c7474,ad)) & card(c7474,int1)) & etype(c7474,int0)) & fact(c7474,real)) & gener(c7474,sp)) & quant(c7474,one)) & refer(c7474,det)) & varia(c7474,con)) & sort(ankauf__1_1,ad)) & card(ankauf__1_1,int1)) & etype(ankauf__1_1,int0)) & fact(ankauf__1_1,real)) & gener(ankauf__1_1,ge)) & quant(ankauf__1_1,one)) & refer(ankauf__1_1,refer_c)) & varia(ankauf__1_1,varia_c)) & sort(c7513,d)) & sort(c7513,io)) & card(c7513,int1)) & etype(c7513,int0)) & fact(c7513,real)) & gener(c7513,sp)) & quant(c7513,one)) & refer(c7513,det)) & varia(c7513,con)) & sort(c7514,na)) & card(c7514,int1)) & etype(c7514,int0)) & fact(c7514,real)) & gener(c7514,sp)) & quant(c7514,one)) & refer(c7514,indet)) & varia(c7514,varia_c)) & sort(britisch__1_1,nq)) & sort(rover_0,fe)) & sort(c7518,io)) & sort(c7518,oa)) & card(c7518,int1)) & etype(c7518,int0)) & fact(c7518,real)) & gener(c7518,sp)) & quant(c7518,one)) & refer(c7518,indet)) & varia(c7518,varia_c)) & sort(neo_1_1,nq)) & sort(gr__366ssenordnung_1_1,io)) & sort(gr__366ssenordnung_1_1,oa)) & card(gr__366ssenordnung_1_1,int1)) & etype(gr__366ssenordnung_1_1,int0)) & fact(gr__366ssenordnung_1_1,real)) & gener(gr__366ssenordnung_1_1,ge)) & quant(gr__366ssenordnung_1_1,one)) & refer(gr__366ssenordnung_1_1,refer_c)) & varia(gr__366ssenordnung_1_1,varia_c)) & sort(c8677,ent)) & card(c8677,card_c)) & etype(c8677,etype_c)) & fact(c8677,real)) & gener(c8677,gener_c)) & quant(c8677,quant_c)) & refer(c8677,refer_c)) & varia(c8677,varia_c)) & sort(gr__366__337e_1_1,oa)) & card(gr__366__337e_1_1,int1)) & etype(gr__366__337e_1_1,int0)) & fact(gr__366__337e_1_1,real)) & gener(gr__366__337e_1_1,ge)) & quant(gr__366__337e_1_1,one)) & refer(gr__366__337e_1_1,refer_c)) & varia(gr__366__337e_1_1,varia_c)) & sort(ordnung_1_1,as)) & sort(ordnung_1_1,io)) & card(ordnung_1_1,int1)) & etype(ordnung_1_1,int0)) & fact(ordnung_1_1,real)) & gener(ordnung_1_1,ge)) & quant(ordnung_1_1,one)) & refer(ordnung_1_1,refer_c)) & varia(ordnung_1_1,varia_c)),
% 0.20/0.54 input).
% 0.20/0.54 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)),
% 0.20/0.54 inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.20/0.54 fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.20/0.54 input).
% 0.20/0.54 fof('synth_qa07_007_mira_news_1217_$sk', plain, (~sub(X7,name_1_1) | (~sub(X1,name_1_1) | (~prop(X6,britisch__1_1) | (~obj(X2,X6) | (~attr(X5,X4) | (~attr(X3,X7) | ~attr(X6,X1))))))),
% 0.20/0.54 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1217'])).
% 0.20/0.54 fof('synth_qa07_007_mira_news_1217', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : ((((((attr(X0,X1) & attr(X3,X2)) & attr(X5,X6)) & obj(X4,X0)) & prop(X0,britisch__1_1)) & sub(X1,name_1_1)) & sub(X2,name_1_1))),
% 0.20/0.54 input).
% 0.20/0.54 cnf('1', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.20/0.54 inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.20/0.54 cnf('2', plain, (~sub(X,Y) | ~sub(Z,X) | sub(Z,Y)),
% 0.20/0.54 inference(cnf_transformation,[],['$inc_sub_sub__sub_$sk'])).
% 0.20/0.54 cnf('3', plain, (sub(autobauer_1_1,fabrikant_1_1)),
% 0.20/0.54 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1217_$sk'])).
% 0.20/0.54 cnf('4', plain, (~sub(X,autobauer_1_1) | sub(X,fabrikant_1_1)),
% 0.20/0.54 inference(resolution,[],['2','3'])).
% 0.20/0.54 cnf('5', plain, (sub(c7513,autobauer_1_1)),
% 0.20/0.54 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1217_$sk'])).
% 0.20/0.54 cnf('6', plain, (sub(c7513,fabrikant_1_1)),
% 0.20/0.54 inference(resolution,[],['4','5'])).
% 0.20/0.54 cnf('7', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.20/0.54 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.54 cnf('8', plain, (arg1($sk6(c7513,fabrikant_1_1),c7513)),
% 0.20/0.54 inference(resolution,[],['6','7'])).
% 0.20/0.54 cnf('9', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.20/0.54 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.54 cnf('10', plain, (subr($sk6(c7513,fabrikant_1_1),sub_0)),
% 0.20/0.54 inference(resolution,[],['6','9'])).
% 0.20/0.54 cnf('11', plain, (attr(c7513,c7514)),
% 0.20/0.54 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1217_$sk'])).
% 0.20/0.54 cnf('12', plain, (~prop(X,britisch__1_1) | ~attr(Y,Z) | ~attr(U,V) | ~attr(X,W) | ~obj(X2006,X) | ~sub(W,name_1_1) | ~sub(Z,name_1_1)),
% 0.20/0.54 inference(cnf_transformation,[],['synth_qa07_007_mira_news_1217_$sk'])).
% 0.20/0.54 cnf('13', plain, (prop(c7513,britisch__1_1)),
% 0.20/0.54 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1217_$sk'])).
% 0.20/0.54 cnf('14', plain, (sub(c7514,name_1_1)),
% 0.20/0.54 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1217_$sk'])).
% 0.20/0.54 cnf('15', plain, (~attr(X,Y) | ~attr(Z,U) | ~obj(V,c7513) | ~sub(U,name_1_1)),
% 0.20/0.54 inference(resolution,[then_simplify],['11','12','13','14'])).
% 0.20/0.54 cnf('16', plain, (~attr(X,Y) | ~obj(Z,c7513)),
% 0.20/0.54 inference(resolution,[then_simplify],['15','11','14'])).
% 0.20/0.54 cnf('17', plain, (~obj(X3,c7513)),
% 0.20/0.54 inference(resolution,[],['16','11'])).
% 0.20/0.54 cnf('18', plain, (~arg2($sk6(c7513,fabrikant_1_1),X)),
% 0.20/0.54 inference(resolution,[then_simplify],['1','8','10','17'])).
% 0.20/0.54 cnf('19', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.20/0.54 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.54 cnf('20', plain, (sub(c7513,fabrikant_1_1)),
% 0.20/0.54 inference(resolution,[],['4','5'])).
% 0.20/0.54 cnf('21', plain, ($false),
% 0.20/0.54 inference(resolution,[then_simplify],['18','19','20'])).
% 0.20/0.54
% 0.20/0.54 % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.54
% 0.20/0.54 run 7 fork 6 statistics:
% 0.20/0.54 ----------------------------------
% 0.20/0.54 this run seconds: 0.024137
% 0.20/0.54 total seconds: 0.058355
% 0.20/0.54 stat_given_used: 1413
% 0.20/0.54 stat_given_used_at_endgame: 0
% 0.20/0.54 stat_given_candidates: 1795
% 0.20/0.54 stat_given_candidates_at_endgame: 0
% 0.20/0.54 stat_given_candidates_h: 0
% 0.20/0.54 stat_binres_derived_cl: 1551
% 0.20/0.54 stat_binres_derived_cl_h: 0
% 0.20/0.54 stat_factor_derived_cl: 8
% 0.20/0.54 stat_para_derived_cl: 0
% 0.20/0.54 stat_tautologies_discarded: 3
% 0.20/0.54 stat_forward_subsumed: 80
% 0.20/0.54 stat_derived_cut: 236
% 0.20/0.54 stat_derived_rewritten: 0
% 0.20/0.54 stat_weight_discarded_building: 0
% 0.20/0.54 stat_weight_discarded_cl: 0
% 0.20/0.54 stat_internlimit_discarded_cl: 0
% 0.20/0.54 stat_simplified: 0 simplified 0 derived 0 given
% 0.20/0.54 stat_kept_cl: 1475
% 0.20/0.54 stat_built_cl: 4301
% 0.20/0.54 stat_hyperres_partial_cl: 0
% 0.20/0.54 stat_made_rewriters: 0
% 0.20/0.54 stat_backward_subsumed: 0
% 0.20/0.54 stat_propagated_subsumed: 0
% 0.20/0.54 stat_clsubs_attempted: 4483
% 0.20/0.54 stat_clsubs_fact_groundunit_found: 292
% 0.20/0.54 stat_clsubs_rule_groundunit_found: 0
% 0.20/0.54 stat_clsubs_top_meta_attempted: 385412
% 0.20/0.54 stat_clsubs_top_meta_failed: 380929
% 0.20/0.54 stat_clsubs_top_meta_nonpref_attempted: 385412
% 0.20/0.54 stat_clsubs_top_meta_nonpref_succeeded: 203926
% 0.20/0.54 stat_clsubs_top_meta_pref_attempted: 203926
% 0.20/0.54 stat_clsubs_top_meta_pref1_succeeded: 11020
% 0.20/0.54 stat_clsubs_top_meta_pref2_succeeded: 4890
% 0.20/0.54 stat_clsubs_top_meta_pref3_succeeded: 4483
% 0.20/0.54 stat_clsubs_top_meta_pref_succeeded: 4483
% 0.20/0.54 stat_clsubs_meta_attempted: 7568
% 0.20/0.54 stat_clsubs_meta_failed: 3580
% 0.20/0.54 stat_clsubs_predsymbs_attempted: 0
% 0.20/0.54 stat_clsubs_unit_attempted: 68
% 0.20/0.54 stat_clsubs_full_attempted: 4415
% 0.20/0.54 stat_forwardsubs_attempted: 1556
% 0.20/0.54 stat_lit_hash_added: 2827
% 0.20/0.54 stat_lit_hash_computed: 14265
% 0.20/0.54 stat_lit_hash_match_found: 610
% 0.20/0.54 stat_lit_hash_match_miss: 15955
% 0.20/0.54 stat_lit_hash_cut_ok: 238
% 0.20/0.54 stat_lit_strong_cut_ok: 2
% 0.20/0.54 stat_lit_hash_subsume_ok: 80
% 0.20/0.54 clqueue els 10000000 used 1
% 0.20/0.54 clactive els 10000000 used 1414
% 0.20/0.54 clactivesubsume els 10000000 used 4693
% 0.20/0.54 queue_termbuf els 200000000 used 62416
% 0.20/0.54 hyper_termbuf els 100000000 used 1
% 0.20/0.54 active_termbuf els 100000000 used 28280
% 0.20/0.54 varstack els 5000 last used 1
% 0.20/0.54 given_termbuf els 10000000 last used 1
% 0.20/0.54 simplified_termbuf els 10000000 last used 1
% 0.20/0.54 derived_termbuf els 10000000 last used 22
% 0.20/0.54 wr_mallocs: 12218
% 0.20/0.54 wr_callocs: 21
% 0.20/0.54 wr_reallocs: 484
% 0.20/0.54 wr_frees: 4
% 0.20/0.54 wr_malloc_bytes: 4163022804
% 0.20/0.54 wr_calloc_bytes: 112065536
% 0.20/0.54 wr_realloc_bytes: 727672
% 0.20/0.54 wr_realloc_freebytes: 0
% 0.20/0.54 ----------------------------------
%------------------------------------------------------------------------------