TSTP Solution File: CSR115+22 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+22 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n009.cluster.edu
% Model : x86_64 x86_64
% CPU : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory : 8042.1875MB
% OS : Linux 3.10.0-693.el7.x86_64
% CPULimit : 300s
% WCLimit : 300s
% DateTime : Wed Aug 30 21:24:24 EDT 2023
% Result : Theorem 0.19s 0.55s
% Output : CNFRefutation 0.19s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.03/0.12 % Problem : CSR115+22 : TPTP v8.1.2. Released v4.0.0.
% 0.03/0.13 % Command : gkc %s
% 0.12/0.34 % Computer : n009.cluster.edu
% 0.12/0.34 % Model : x86_64 x86_64
% 0.12/0.34 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.12/0.34 % Memory : 8042.1875MB
% 0.12/0.34 % OS : Linux 3.10.0-693.el7.x86_64
% 0.12/0.34 % CPULimit : 300
% 0.12/0.34 % WCLimit : 300
% 0.12/0.34 % DateTime : Mon Aug 28 10:36:20 EDT 2023
% 0.12/0.34 % CPUTime :
% 0.19/0.47
% 0.19/0.47 input clause set summed statistics:
% 0.19/0.47 ----------------------------------
% 0.19/0.47 in_clause_count: 10607
% 0.19/0.47 in_rule_clause_count: 336
% 0.19/0.47 in_fact_clause_count: 10271
% 0.19/0.47 in_answer_clause_count: 0
% 0.19/0.47 in_ground_clause_count: 10271
% 0.19/0.47 in_unit_clause_count: 10273
% 0.19/0.47 in_horn_clause_count: 10597
% 0.19/0.47 in_pos_clause_count: 10277
% 0.19/0.47 in_neg_clause_count: 11
% 0.19/0.47 in_poseq_clause_count: 0
% 0.19/0.47 in_negeq_clause_count: 0
% 0.19/0.47 in_unitposeq_clause_count: 0
% 0.19/0.47 in_chain_clause_count: 0
% 0.19/0.47 in_min_length: 1
% 0.19/0.47 in_max_length: 9
% 0.19/0.47 in_min_depth: 1
% 0.19/0.47 in_max_depth: 5
% 0.19/0.47 in_min_size: 3
% 0.19/0.47 in_max_size: 30
% 0.19/0.47 in_min_vars: 0
% 0.19/0.47 in_max_vars: 7
% 0.19/0.47 in_extaxiom_count: 10394
% 0.19/0.47 in_axiom_count: 0
% 0.19/0.47 in_assumption_count: 212
% 0.19/0.47 in_goal_count: 1
% 0.19/0.47 in_neg_goal_count: 1
% 0.19/0.47 in_pos_goal_count: 0
% 0.19/0.47 in_posunit_goal_count: 0
% 0.19/0.47
% 0.19/0.47 auto guide:
% 0.19/0.47 -----------
% 0.19/0.47 {
% 0.19/0.47 "print":1,
% 0.19/0.47 "print_level": 15,
% 0.19/0.47 "max_size": 0,
% 0.19/0.47 "max_depth": 0,
% 0.19/0.47 "max_length": 0,
% 0.19/0.47 "max_dseconds": 0,
% 0.19/0.47 "equality":0,
% 0.19/0.47 "runs":[
% 0.19/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.47 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.19/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.19/0.47 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.19/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.19/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.19/0.47 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.19/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.19/0.47 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.19/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.19/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.19/0.47 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.19/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.19/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.19/0.47 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.19/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.19/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.19/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.19/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.19/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.19/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.19/0.47
% 0.19/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.47 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.19/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.19/0.47 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.19/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.19/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.19/0.47 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.19/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.19/0.47 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.19/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.19/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.19/0.47 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.19/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.19/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.19/0.47 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.19/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.19/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.19/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.19/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.19/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.19/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.19/0.47
% 0.19/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.47 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.47 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.19/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.19/0.47 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.19/0.47 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.19/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.19/0.47 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.19/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.19/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.19/0.47 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.19/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.19/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.19/0.47 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.19/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.19/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.19/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.19/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.19/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.19/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.19/0.47
% 0.19/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.47 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.47 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.47 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.19/0.47
% 0.19/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.47 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.47 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.47 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.47 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.19/0.47
% 0.19/0.47 ]}
% 0.19/0.47
% 0.19/0.47
% 0.19/0.47 **** run 1 fork 0 starts with strategy
% 0.19/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.19/0.47
% 0.19/0.47 **** run 2 fork 1 starts with strategy
% 0.19/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.19/0.47
% 0.19/0.47 **** run 3 fork 2 starts with strategy
% 0.19/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.19/0.47
% 0.19/0.47 **** run 4 fork 3 starts with strategy
% 0.19/0.47 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.19/0.47
% 0.19/0.47 **** run 5 fork 4 starts with strategy
% 0.19/0.47 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.19/0.47
% 0.19/0.47 **** run 6 fork 5 starts with strategy
% 0.19/0.47 {"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}
% 0.19/0.55
% 0.19/0.55
% 0.19/0.55 result: proof found
% 0.19/0.55 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.19/0.55 by run 5 fork 4 strategy {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.19/0.55 % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.19/0.55
% 0.19/0.55 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.19/0.55 fof('$inc_attr_name__abk__374rzung_stehen_1_b_f__374r_$sk', plain, ((subs($sk12(X1,X2,X3),stehen_1_b) & (scar($sk12(X1,X2,X3),X3) & (obj($sk12(X1,X2,X3),X3) & mcont($sk12(X1,X2,X3),X3)))) | (~sub(X1,X2) | (~member(X2,cons(eigenname_1_1,cons(familiename_1_1,cons(name_1_1,nil)))) | ~attr(X3,X1)))),
% 0.19/0.55 inference(negpush_and_skolemize,[],['$inc_attr_name__abk__374rzung_stehen_1_b_f__374r'])).
% 0.19/0.55 fof('$inc_attr_name__abk__374rzung_stehen_1_b_f__374r', axiom, (! [X0,X1,X2] : (((attr(X2,X0) & member(X1,cons(eigenname_1_1,cons(familiename_1_1,cons(name_1_1,nil))))) & sub(X0,X1)) => (? [X3] : (((mcont(X3,X2) & obj(X3,X2)) & scar(X3,X2)) & subs(X3,stehen_1_b))))),
% 0.19/0.55 input).
% 0.19/0.55 fof('$inc_member_second_$sk', plain, (member(X3,cons(X1,X2)) | ~member(X3,X2)),
% 0.19/0.55 inference(negpush_and_skolemize,[],['$inc_member_second'])).
% 0.19/0.55 fof('$inc_member_second', axiom, (! [X0,X1,X2] : (member(X0,X2) => member(X0,cons(X1,X2)))),
% 0.19/0.55 input).
% 0.19/0.55 fof('$inc_member_first_$sk', plain, member(X2,cons(X2,X1)),
% 0.19/0.55 inference(negpush_and_skolemize,[],['$inc_member_first'])).
% 0.19/0.55 fof('$inc_member_first', axiom, (! [X0,X1] : member(X0,cons(X0,X1))),
% 0.19/0.55 input).
% 0.19/0.55 fof('ave07_era5_synth_qa07_007_mira_news_1147_a462_$sk', plain, (varia(c898,varia_c) & (refer(c898,refer_c) & (quant(c898,quant_c) & (gener(c898,gener_c) & (fact(c898,real) & (etype(c898,etype_c) & (card(c898,card_c) & (sort(c898,ent) & (sort(an_bester_stelle_0,fe) & (varia(c827,varia_c) & (refer(c827,refer_c) & (quant(c827,one) & (gener(c827,gener_c) & (fact(c827,real) & (etype(c827,int0) & (card(c827,int1) & (sort(c827,o) & (sort(bmw_0,fe) & (varia(c818,varia_c) & (refer(c818,indet) & (quant(c818,one) & (gener(c818,sp) & (fact(c818,real) & (etype(c818,int0) & (card(c818,int1) & (sort(c818,na) & (varia(c817,con) & (refer(c817,det) & (quant(c817,one) & (gener(c817,sp) & (fact(c817,real) & (etype(c817,int0) & (card(c817,int1) & (sort(c817,io) & (sort(c817,d) & (sort(rover_0,fe) & (varia(c437,varia_c) & (refer(c437,indet) & (quant(c437,one) & (gener(c437,sp) & (fact(c437,real) & (etype(c437,int0) & (card(c437,int1) & (sort(c437,na) & (varia(c436,con) & (refer(c436,det) & (quant(c436,one) & (gener(c436,sp) & (fact(c436,real) & (etype(c436,int0) & (card(c436,int1) & (sort(c436,io) & (sort(c436,d) & (varia(boykott_1_1,varia_c) & (refer(boykott_1_1,refer_c) & (quant(boykott_1_1,one) & (gener(boykott_1_1,ge) & (fact(boykott_1_1,real) & (etype(boykott_1_1,int0) & (card(boykott_1_1,int1) & (sort(boykott_1_1,ad) & (varia(c396,con) & (refer(c396,det) & (quant(c396,one) & (gener(c396,sp) & (fact(c396,real) & (etype(c396,int0) & (card(c396,int1) & (sort(c396,ad) & (varia(c394,varia_c) & (refer(c394,det) & (quant(c394,one) & (gener(c394,sp) & (fact(c394,real) & (etype(c394,int0) & (card(c394,int1) & (sort(c394,o) & (varia(c390,varia_c) & (refer(c390,det) & (quant(c390,one) & (gener(c390,sp) & (fact(c390,real) & (etype(c390,int0) & (card(c390,int1) & (sort(c390,io) & (sort(c390,d) & (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(c373,varia_c) & (refer(c373,refer_c) & (quant(c373,one) & (gener(c373,gener_c) & (fact(c373,real) & (etype(c373,int0) & (card(c373,int1) & (sort(c373,io) & (sort(c373,d) & (sort(headwear_0,fe) & (varia(fluss_1_1,varia_c) & (refer(fluss_1_1,refer_c) & (quant(fluss_1_1,one) & (gener(fluss_1_1,ge) & (fact(fluss_1_1,real) & (etype(fluss_1_1,int0) & (card(fluss_1_1,int1) & (sort(fluss_1_1,d) & (varia(c362,varia_c) & (refer(c362,indet) & (quant(c362,one) & (gener(c362,sp) & (fact(c362,real) & (etype(c362,int0) & (card(c362,int1) & (sort(c362,na) & (varia(c361,con) & (refer(c361,det) & (quant(c361,one) & (gener(c361,sp) & (fact(c361,real) & (etype(c361,int0) & (card(c361,int1) & (sort(c361,d) & (sort(einer_hessischen_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(reisende_1_1,varia_c) & (refer(reisende_1_1,refer_c) & (quant(reisende_1_1,one) & (gener(reisende_1_1,ge) & (fact(reisende_1_1,real) & (etype(reisende_1_1,int0) & (card(reisende_1_1,int1) & (sort(reisende_1_1,d) & (varia(c354,varia_c) & (refer(c354,det) & (quant(c354,one) & (gener(c354,sp) & (fact(c354,real) & (etype(c354,int0) & (card(c354,int1) & (sort(c354,na) & (varia(c346,varia_c) & (refer(c346,det) & (quant(c346,nfquant) & (gener(c346,sp) & (fact(c346,real) & (etype(c346,int1) & (card(c346,int4) & (sort(c346,d) & (varia(blatt_1_1,varia_c) & (refer(blatt_1_1,refer_c) & (quant(blatt_1_1,one) & (gener(blatt_1_1,ge) & (fact(blatt_1_1,real) & (etype(blatt_1_1,int0) & (card(blatt_1_1,int1) & (sort(blatt_1_1,io) & (sort(blatt_1_1,d) & (varia(branche_1_1,varia_c) & (refer(branche_1_1,refer_c) & (quant(branche_1_1,quant_c) & (gener(branche_1_1,ge) & (fact(branche_1_1,real) & (etype(branche_1_1,int1) & (card(branche_1_1,card_c) & (sort(branche_1_1,io) & (varia(branchenblatt_1_1,varia_c) & (refer(branchenblatt_1_1,refer_c) & (quant(branchenblatt_1_1,one) & (gener(branchenblatt_1_1,ge) & (fact(branchenblatt_1_1,real) & (etype(branchenblatt_1_1,int0) & (card(branchenblatt_1_1,int1) & (sort(branchenblatt_1_1,io) & (sort(branchenblatt_1_1,d) & (tupl_p10(c898,c346,c361,c373,c390,c396,c436,c817,c827,c827) & (name(c827,an_bester_stelle_0) & (val(c818,bmw_0) & (sub(c818,name_1_1) & (sub(c817,firma_1_1) & (attr(c817,c818) & (val(c437,rover_0) & (sub(c437,name_1_1) & (sub(c436,firma_1_1) & (attr(c436,c437) & (subs(c396,boykott_1_1) & (poss(c394,c390) & (sub(c390,branchenblatt_1_1) & (sub(c373,firma_1_1) & (val(c362,headwear_0) & (sub(c362,name_1_1) & (sub(c361,fluss_1_1) & (attr(c361,c362) & (val(c354,einer_hessischen_0) & (sub(c354,name_1_1) & (pred(c346,reisende_1_1) & (attr(c346,c354) & (sub(branchenblatt_1_1,blatt_1_1) & assoc(branchenblatt_1_1,branche_1_1)))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.19/0.55 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1147_a462'])).
% 0.19/0.55 fof('ave07_era5_synth_qa07_007_mira_news_1147_a462', hypothesis, (((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((assoc(branchenblatt_1_1,branche_1_1) & sub(branchenblatt_1_1,blatt_1_1)) & attr(c346,c354)) & pred(c346,reisende_1_1)) & sub(c354,name_1_1)) & val(c354,einer_hessischen_0)) & attr(c361,c362)) & sub(c361,fluss_1_1)) & sub(c362,name_1_1)) & val(c362,headwear_0)) & sub(c373,firma_1_1)) & sub(c390,branchenblatt_1_1)) & poss(c394,c390)) & subs(c396,boykott_1_1)) & attr(c436,c437)) & sub(c436,firma_1_1)) & sub(c437,name_1_1)) & val(c437,rover_0)) & attr(c817,c818)) & sub(c817,firma_1_1)) & sub(c818,name_1_1)) & val(c818,bmw_0)) & name(c827,an_bester_stelle_0)) & tupl_p10(c898,c346,c361,c373,c390,c396,c436,c817,c827,c827)) & sort(branchenblatt_1_1,d)) & sort(branchenblatt_1_1,io)) & card(branchenblatt_1_1,int1)) & etype(branchenblatt_1_1,int0)) & fact(branchenblatt_1_1,real)) & gener(branchenblatt_1_1,ge)) & quant(branchenblatt_1_1,one)) & refer(branchenblatt_1_1,refer_c)) & varia(branchenblatt_1_1,varia_c)) & sort(branche_1_1,io)) & card(branche_1_1,card_c)) & etype(branche_1_1,int1)) & fact(branche_1_1,real)) & gener(branche_1_1,ge)) & quant(branche_1_1,quant_c)) & refer(branche_1_1,refer_c)) & varia(branche_1_1,varia_c)) & sort(blatt_1_1,d)) & sort(blatt_1_1,io)) & card(blatt_1_1,int1)) & etype(blatt_1_1,int0)) & fact(blatt_1_1,real)) & gener(blatt_1_1,ge)) & quant(blatt_1_1,one)) & refer(blatt_1_1,refer_c)) & varia(blatt_1_1,varia_c)) & sort(c346,d)) & card(c346,int4)) & etype(c346,int1)) & fact(c346,real)) & gener(c346,sp)) & quant(c346,nfquant)) & refer(c346,det)) & varia(c346,varia_c)) & sort(c354,na)) & card(c354,int1)) & etype(c354,int0)) & fact(c354,real)) & gener(c354,sp)) & quant(c354,one)) & refer(c354,det)) & varia(c354,varia_c)) & sort(reisende_1_1,d)) & card(reisende_1_1,int1)) & etype(reisende_1_1,int0)) & fact(reisende_1_1,real)) & gener(reisende_1_1,ge)) & quant(reisende_1_1,one)) & refer(reisende_1_1,refer_c)) & varia(reisende_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(einer_hessischen_0,fe)) & sort(c361,d)) & card(c361,int1)) & etype(c361,int0)) & fact(c361,real)) & gener(c361,sp)) & quant(c361,one)) & refer(c361,det)) & varia(c361,con)) & sort(c362,na)) & card(c362,int1)) & etype(c362,int0)) & fact(c362,real)) & gener(c362,sp)) & quant(c362,one)) & refer(c362,indet)) & varia(c362,varia_c)) & sort(fluss_1_1,d)) & card(fluss_1_1,int1)) & etype(fluss_1_1,int0)) & fact(fluss_1_1,real)) & gener(fluss_1_1,ge)) & quant(fluss_1_1,one)) & refer(fluss_1_1,refer_c)) & varia(fluss_1_1,varia_c)) & sort(headwear_0,fe)) & sort(c373,d)) & sort(c373,io)) & card(c373,int1)) & etype(c373,int0)) & fact(c373,real)) & gener(c373,gener_c)) & quant(c373,one)) & refer(c373,refer_c)) & varia(c373,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(c390,d)) & sort(c390,io)) & card(c390,int1)) & etype(c390,int0)) & fact(c390,real)) & gener(c390,sp)) & quant(c390,one)) & refer(c390,det)) & varia(c390,varia_c)) & sort(c394,o)) & card(c394,int1)) & etype(c394,int0)) & fact(c394,real)) & gener(c394,sp)) & quant(c394,one)) & refer(c394,det)) & varia(c394,varia_c)) & sort(c396,ad)) & card(c396,int1)) & etype(c396,int0)) & fact(c396,real)) & gener(c396,sp)) & quant(c396,one)) & refer(c396,det)) & varia(c396,con)) & sort(boykott_1_1,ad)) & card(boykott_1_1,int1)) & etype(boykott_1_1,int0)) & fact(boykott_1_1,real)) & gener(boykott_1_1,ge)) & quant(boykott_1_1,one)) & refer(boykott_1_1,refer_c)) & varia(boykott_1_1,varia_c)) & sort(c436,d)) & sort(c436,io)) & card(c436,int1)) & etype(c436,int0)) & fact(c436,real)) & gener(c436,sp)) & quant(c436,one)) & refer(c436,det)) & varia(c436,con)) & sort(c437,na)) & card(c437,int1)) & etype(c437,int0)) & fact(c437,real)) & gener(c437,sp)) & quant(c437,one)) & refer(c437,indet)) & varia(c437,varia_c)) & sort(rover_0,fe)) & sort(c817,d)) & sort(c817,io)) & card(c817,int1)) & etype(c817,int0)) & fact(c817,real)) & gener(c817,sp)) & quant(c817,one)) & refer(c817,det)) & varia(c817,con)) & sort(c818,na)) & card(c818,int1)) & etype(c818,int0)) & fact(c818,real)) & gener(c818,sp)) & quant(c818,one)) & refer(c818,indet)) & varia(c818,varia_c)) & sort(bmw_0,fe)) & sort(c827,o)) & card(c827,int1)) & etype(c827,int0)) & fact(c827,real)) & gener(c827,gener_c)) & quant(c827,one)) & refer(c827,refer_c)) & varia(c827,varia_c)) & sort(an_bester_stelle_0,fe)) & sort(c898,ent)) & card(c898,card_c)) & etype(c898,etype_c)) & fact(c898,real)) & gener(c898,gener_c)) & quant(c898,quant_c)) & refer(c898,refer_c)) & varia(c898,varia_c)),
% 0.19/0.55 input).
% 0.19/0.55 fof('synth_qa07_007_mira_news_1147_a462_$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))))))))),
% 0.19/0.55 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1147_a462'])).
% 0.19/0.55 fof('synth_qa07_007_mira_news_1147_a462', 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))),
% 0.19/0.55 input).
% 0.19/0.55 cnf('1', plain, (~member(X,cons(eigenname_1_1,cons(familiename_1_1,cons(name_1_1,nil)))) | obj($sk12(Y,X,Z),Z) | ~attr(Z,Y) | ~sub(Y,X)),
% 0.19/0.55 inference(cnf_transformation,[],['$inc_attr_name__abk__374rzung_stehen_1_b_f__374r_$sk'])).
% 0.19/0.55 cnf('2', plain, (member(X,cons(Y,Z)) | ~member(X,Z)),
% 0.19/0.55 inference(cnf_transformation,[],['$inc_member_second_$sk'])).
% 0.19/0.55 cnf('3', plain, (member(X,cons(X,Y))),
% 0.19/0.55 inference(cnf_transformation,[],['$inc_member_first_$sk'])).
% 0.19/0.55 cnf('4', plain, (member(X,cons(Y,cons(X,Z)))),
% 0.19/0.55 inference(resolution,[],['2','3'])).
% 0.19/0.55 cnf('5', plain, (member(X,cons(Y,cons(Z,cons(X,U))))),
% 0.19/0.55 inference(resolution,[],['4','2'])).
% 0.19/0.55 cnf('6', plain, (obj($sk12(X,name_1_1,Y),Y) | ~attr(Y,X) | ~sub(X,name_1_1)),
% 0.19/0.55 inference(resolution,[],['1','5'])).
% 0.19/0.55 cnf('7', plain, (sub(c818,name_1_1)),
% 0.19/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1147_a462_$sk'])).
% 0.19/0.55 cnf('8', plain, (obj($sk12(c818,name_1_1,X),X) | ~attr(X,c818)),
% 0.19/0.55 inference(resolution,[],['6','7'])).
% 0.19/0.55 cnf('9', plain, (attr(c817,c818)),
% 0.19/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1147_a462_$sk'])).
% 0.19/0.55 cnf('10', plain, (val(c818,bmw_0)),
% 0.19/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1147_a462_$sk'])).
% 0.19/0.55 cnf('11', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(U,V) | ~attr(W,X) | ~obj(X2006,W) | ~sub(W,firma_1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 0.19/0.55 inference(cnf_transformation,[],['synth_qa07_007_mira_news_1147_a462_$sk'])).
% 0.19/0.55 cnf('12', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,U) | ~obj(V,Y) | ~sub(Y,firma_1_1) | ~sub(X,name_1_1)),
% 0.19/0.55 inference(factorization,[],['11'])).
% 0.19/0.55 cnf('13', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~obj(Z,Y) | ~sub(Y,firma_1_1) | ~sub(X,name_1_1)),
% 0.19/0.55 inference(factorization,[],['12'])).
% 0.19/0.55 cnf('14', plain, (sub(c818,name_1_1)),
% 0.19/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1147_a462_$sk'])).
% 0.19/0.55 cnf('15', plain, (~attr(X,c818) | ~obj(Y,X) | ~sub(X,firma_1_1)),
% 0.19/0.55 inference(resolution,[then_simplify],['10','13','14'])).
% 0.19/0.55 cnf('16', plain, (sub(c817,firma_1_1)),
% 0.19/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1147_a462_$sk'])).
% 0.19/0.55 cnf('17', plain, (~obj(X3,c817)),
% 0.19/0.55 inference(resolution,[then_simplify],['9','15','16'])).
% 0.19/0.55 cnf('18', plain, ($false),
% 0.19/0.55 inference(resolution,[then_simplify],['8','9','17'])).
% 0.19/0.55
% 0.19/0.55 % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.19/0.55
% 0.19/0.55 run 5 fork 4 statistics:
% 0.19/0.55 ----------------------------------
% 0.19/0.55 this run seconds: 0.038686
% 0.19/0.55 total seconds: 0.079540
% 0.19/0.55 stat_given_used: 1559
% 0.19/0.55 stat_given_used_at_endgame: 0
% 0.19/0.55 stat_given_candidates: 1907
% 0.19/0.55 stat_given_candidates_at_endgame: 0
% 0.19/0.55 stat_given_candidates_h: 0
% 0.19/0.55 stat_binres_derived_cl: 1423
% 0.19/0.55 stat_binres_derived_cl_h: 0
% 0.19/0.55 stat_factor_derived_cl: 25
% 0.19/0.55 stat_para_derived_cl: 0
% 0.19/0.55 stat_tautologies_discarded: 3
% 0.19/0.55 stat_forward_subsumed: 6
% 0.19/0.55 stat_derived_cut: 9
% 0.19/0.55 stat_derived_rewritten: 0
% 0.19/0.55 stat_weight_discarded_building: 0
% 0.19/0.55 stat_weight_discarded_cl: 0
% 0.19/0.55 stat_internlimit_discarded_cl: 0
% 0.19/0.55 stat_simplified: 0 simplified 0 derived 0 given
% 0.19/0.55 stat_kept_cl: 1438
% 0.19/0.55 stat_built_cl: 4556
% 0.19/0.55 stat_hyperres_partial_cl: 0
% 0.19/0.55 stat_made_rewriters: 0
% 0.19/0.55 stat_backward_subsumed: 0
% 0.19/0.55 stat_propagated_subsumed: 0
% 0.19/0.55 stat_clsubs_attempted: 3101
% 0.19/0.55 stat_clsubs_fact_groundunit_found: 247
% 0.19/0.55 stat_clsubs_rule_groundunit_found: 0
% 0.19/0.55 stat_clsubs_top_meta_attempted: 443171
% 0.19/0.55 stat_clsubs_top_meta_failed: 440070
% 0.19/0.55 stat_clsubs_top_meta_nonpref_attempted: 443171
% 0.19/0.55 stat_clsubs_top_meta_nonpref_succeeded: 112278
% 0.19/0.55 stat_clsubs_top_meta_pref_attempted: 112278
% 0.19/0.55 stat_clsubs_top_meta_pref1_succeeded: 6758
% 0.19/0.55 stat_clsubs_top_meta_pref2_succeeded: 4077
% 0.19/0.55 stat_clsubs_top_meta_pref3_succeeded: 3101
% 0.19/0.55 stat_clsubs_top_meta_pref_succeeded: 3101
% 0.19/0.55 stat_clsubs_meta_attempted: 6001
% 0.19/0.55 stat_clsubs_meta_failed: 3555
% 0.19/0.55 stat_clsubs_predsymbs_attempted: 0
% 0.19/0.55 stat_clsubs_unit_attempted: 321
% 0.19/0.55 stat_clsubs_full_attempted: 2780
% 0.19/0.55 stat_forwardsubs_attempted: 1445
% 0.19/0.55 stat_lit_hash_added: 2482
% 0.19/0.55 stat_lit_hash_computed: 14088
% 0.19/0.55 stat_lit_hash_match_found: 261
% 0.19/0.55 stat_lit_hash_match_miss: 16630
% 0.19/0.55 stat_lit_hash_cut_ok: 8
% 0.19/0.55 stat_lit_strong_cut_ok: 2
% 0.19/0.55 stat_lit_hash_subsume_ok: 6
% 0.19/0.55 clqueue els 10000000 used 1
% 0.19/0.55 clactive els 10000000 used 1560
% 0.19/0.55 clactivesubsume els 10000000 used 4435
% 0.19/0.55 queue_termbuf els 200000000 used 76189
% 0.19/0.55 hyper_termbuf els 100000000 used 1
% 0.19/0.55 active_termbuf els 100000000 used 39862
% 0.19/0.55 varstack els 5000 last used 1
% 0.19/0.55 given_termbuf els 10000000 last used 1
% 0.19/0.55 simplified_termbuf els 10000000 last used 1
% 0.19/0.55 derived_termbuf els 10000000 last used 30
% 0.19/0.55 wr_mallocs: 11112
% 0.19/0.55 wr_callocs: 21
% 0.19/0.55 wr_reallocs: 335
% 0.19/0.55 wr_frees: 4
% 0.19/0.55 wr_malloc_bytes: 4162986660
% 0.19/0.55 wr_calloc_bytes: 112065536
% 0.19/0.55 wr_realloc_bytes: 712864
% 0.19/0.55 wr_realloc_freebytes: 0
% 0.19/0.55 ----------------------------------
%------------------------------------------------------------------------------