TSTP Solution File: CSR115+38 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+38 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n025.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 21:24:28 EDT 2023
% Result : Theorem 0.22s 0.58s
% Output : CNFRefutation 0.22s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.13 % Problem : CSR115+38 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.14 % Command : gkc %s
% 0.13/0.35 % Computer : n025.cluster.edu
% 0.13/0.35 % Model : x86_64 x86_64
% 0.13/0.35 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.35 % Memory : 8042.1875MB
% 0.13/0.35 % OS : Linux 3.10.0-693.el7.x86_64
% 0.13/0.35 % CPULimit : 300
% 0.13/0.35 % WCLimit : 300
% 0.13/0.35 % DateTime : Mon Aug 28 12:09:54 EDT 2023
% 0.13/0.35 % CPUTime :
% 0.22/0.48
% 0.22/0.48 input clause set summed statistics:
% 0.22/0.48 ----------------------------------
% 0.22/0.48 in_clause_count: 10681
% 0.22/0.48 in_rule_clause_count: 337
% 0.22/0.48 in_fact_clause_count: 10344
% 0.22/0.48 in_answer_clause_count: 0
% 0.22/0.48 in_ground_clause_count: 10345
% 0.22/0.48 in_unit_clause_count: 10347
% 0.22/0.48 in_horn_clause_count: 10671
% 0.22/0.48 in_pos_clause_count: 10351
% 0.22/0.48 in_neg_clause_count: 11
% 0.22/0.48 in_poseq_clause_count: 0
% 0.22/0.48 in_negeq_clause_count: 0
% 0.22/0.48 in_unitposeq_clause_count: 0
% 0.22/0.48 in_chain_clause_count: 0
% 0.22/0.48 in_min_length: 1
% 0.22/0.48 in_max_length: 9
% 0.22/0.48 in_min_depth: 1
% 0.22/0.48 in_max_depth: 5
% 0.22/0.48 in_min_size: 3
% 0.22/0.48 in_max_size: 30
% 0.22/0.48 in_min_vars: 0
% 0.22/0.48 in_max_vars: 7
% 0.22/0.48 in_extaxiom_count: 10394
% 0.22/0.48 in_axiom_count: 0
% 0.22/0.48 in_assumption_count: 286
% 0.22/0.48 in_goal_count: 1
% 0.22/0.48 in_neg_goal_count: 1
% 0.22/0.48 in_pos_goal_count: 0
% 0.22/0.48 in_posunit_goal_count: 0
% 0.22/0.48
% 0.22/0.48 auto guide:
% 0.22/0.48 -----------
% 0.22/0.48 {
% 0.22/0.48 "print":1,
% 0.22/0.48 "print_level": 15,
% 0.22/0.48 "max_size": 0,
% 0.22/0.48 "max_depth": 0,
% 0.22/0.48 "max_length": 0,
% 0.22/0.48 "max_dseconds": 0,
% 0.22/0.48 "equality":0,
% 0.22/0.48 "runs":[
% 0.22/0.48 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.22/0.48 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.22/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.22/0.48 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.22/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.22/0.48 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.22/0.48 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.22/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.22/0.48 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.22/0.48 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.22/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.22/0.48 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.22/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.22/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.22/0.48 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.22/0.48 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.22/0.48 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.22/0.48 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.22/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.22/0.48 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.22/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.22/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.22/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.22/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.22/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.22/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.22/0.48 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.22/0.48
% 0.22/0.48 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.22/0.48 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.22/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.22/0.48 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.22/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.22/0.48 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.22/0.48 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.22/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.22/0.48 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.22/0.48 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.22/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.22/0.48 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.22/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.22/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.22/0.48 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.22/0.48 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.22/0.48 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.22/0.48 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.22/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.22/0.48 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.22/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.22/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.22/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.22/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.22/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.22/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.22/0.48 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.22/0.48
% 0.22/0.48 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.22/0.48 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.22/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.22/0.48 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.22/0.48 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.22/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.22/0.48 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.22/0.48 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.22/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.22/0.48 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.22/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.22/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.22/0.48 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.22/0.48 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.22/0.48 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.22/0.48 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.22/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.22/0.48 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.22/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.22/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.22/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.22/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.22/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.22/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.22/0.48 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.22/0.48
% 0.22/0.48 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.22/0.48 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.22/0.48 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.22/0.48 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.22/0.48 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.22/0.48
% 0.22/0.48 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.22/0.48 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.22/0.48 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.22/0.48 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.22/0.48 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.22/0.48 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.22/0.48
% 0.22/0.48 ]}
% 0.22/0.48
% 0.22/0.48
% 0.22/0.48 **** run 1 fork 0 starts with strategy
% 0.22/0.48 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.22/0.48
% 0.22/0.48 **** run 2 fork 1 starts with strategy
% 0.22/0.48 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.22/0.48
% 0.22/0.48 **** run 3 fork 2 starts with strategy
% 0.22/0.48 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.22/0.48
% 0.22/0.48 **** run 4 fork 3 starts with strategy
% 0.22/0.48 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.22/0.48
% 0.22/0.48 **** run 5 fork 4 starts with strategy
% 0.22/0.48 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.22/0.48
% 0.22/0.48 **** run 6 fork 5 starts with strategy
% 0.22/0.48 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.22/0.48
% 0.22/0.48 **** run 7 fork 6 starts with strategy
% 0.22/0.48 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.22/0.49
% 0.22/0.49 **** run 8 fork 7 starts with strategy
% 0.22/0.49 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.22/0.58
% 0.22/0.58
% 0.22/0.58 result: proof found
% 0.22/0.58 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.22/0.58 by run 7 fork 6 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.22/0.58 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.22/0.58
% 0.22/0.58 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.22/0.58 fof('ave07_era5_synth_qa07_007_mira_news_1233_$sk', plain, (gener(planen_1_1,ge) & (fact(planen_1_1,real) & (sort(planen_1_1,da) & (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(aggregat_1_1,varia_c) & (refer(aggregat_1_1,refer_c) & (quant(aggregat_1_1,one) & (gener(aggregat_1_1,ge) & (fact(aggregat_1_1,real) & (etype(aggregat_1_1,int0) & (card(aggregat_1_1,int1) & (sort(aggregat_1_1,io) & (sort(aggregat_1_1,d) & (gener(gr__374nden_1_2,ge) & (fact(gr__374nden_1_2,real) & (sort(gr__374nden_1_2,da) & (varia(c3436,varia_c) & (refer(c3436,refer_c) & (quant(c3436,quant_c) & (gener(c3436,gener_c) & (fact(c3436,real) & (etype(c3436,etype_c) & (card(c3436,card_c) & (sort(c3436,ent) & (varia(c31,varia_c) & (refer(c31,refer_c) & (quant(c31,quant_c) & (gener(c31,gener_c) & (fact(c31,real) & (etype(c31,etype_c) & (card(c31,card_c) & (sort(c31,ent) & (sort(c2206,tq) & (sort(fix_1_2,mq) & (sort(c2868,tq) & (sort(royce_0,fe) & (varia(c2845,varia_c) & (refer(c2845,indet) & (quant(c2845,one) & (gener(c2845,sp) & (fact(c2845,real) & (etype(c2845,int0) & (card(c2845,int1) & (sort(c2845,na) & (varia(c2844,con) & (refer(c2844,det) & (quant(c2844,one) & (gener(c2844,sp) & (fact(c2844,real) & (etype(c2844,int0) & (card(c2844,int1) & (sort(c2844,d) & (varia(gmbh__1_1,varia_c) & (refer(gmbh__1_1,refer_c) & (quant(gmbh__1_1,quant_c) & (gener(gmbh__1_1,ge) & (fact(gmbh__1_1,real) & (etype(gmbh__1_1,int1) & (card(gmbh__1_1,card_c) & (sort(gmbh__1_1,io) & (sort(gmbh__1_1,d) & (varia(c2842,varia_c) & (refer(c2842,refer_c) & (quant(c2842,one) & (gener(c2842,gener_c) & (fact(c2842,real) & (etype(c2842,int1) & (card(c2842,int1) & (sort(c2842,io) & (sort(c2842,d) & (sort(roll_0,fe) & (varia(familiename_1_1,varia_c) & (refer(familiename_1_1,refer_c) & (quant(familiename_1_1,one) & (gener(familiename_1_1,ge) & (fact(familiename_1_1,real) & (etype(familiename_1_1,int0) & (card(familiename_1_1,int1) & (sort(familiename_1_1,na) & (varia(mensch_1_1,varia_c) & (refer(mensch_1_1,refer_c) & (quant(mensch_1_1,one) & (gener(mensch_1_1,ge) & (fact(mensch_1_1,real) & (etype(mensch_1_1,int0) & (card(mensch_1_1,int1) & (sort(mensch_1_1,d) & (varia(c2841,varia_c) & (refer(c2841,indet) & (quant(c2841,one) & (gener(c2841,sp) & (fact(c2841,real) & (etype(c2841,int0) & (card(c2841,int1) & (sort(c2841,na) & (varia(c2840,con) & (refer(c2840,det) & (quant(c2840,one) & (gener(c2840,sp) & (fact(c2840,real) & (etype(c2840,int0) & (card(c2840,int1) & (sort(c2840,d) & (sort(bmw_0,fe) & (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(c2837,varia_c) & (refer(c2837,indet) & (quant(c2837,one) & (gener(c2837,sp) & (fact(c2837,real) & (etype(c2837,int0) & (card(c2837,int1) & (sort(c2837,na) & (varia(c2836,con) & (refer(c2836,det) & (quant(c2836,one) & (gener(c2836,sp) & (fact(c2836,real) & (etype(c2836,int0) & (card(c2836,int1) & (sort(c2836,io) & (sort(c2836,d) & (sort(britisch__1_1,nq) & (varia(maschinenfabrikant_1_1,varia_c) & (refer(maschinenfabrikant_1_1,refer_c) & (quant(maschinenfabrikant_1_1,one) & (gener(maschinenfabrikant_1_1,ge) & (fact(maschinenfabrikant_1_1,real) & (etype(maschinenfabrikant_1_1,int0) & (card(maschinenfabrikant_1_1,int1) & (sort(maschinenfabrikant_1_1,io) & (sort(maschinenfabrikant_1_1,d) & (varia(c2230,varia_c) & (refer(c2230,refer_c) & (quant(c2230,mult) & (gener(c2230,gener_c) & (fact(c2230,real) & (etype(c2230,int1) & (card(c2230,cons(x_constant,cons(int1,nil))) & (sort(c2230,io) & (sort(c2230,d) & (sort(c2204,tq) & (varia(c2226,varia_c) & (refer(c2226,refer_c) & (quant(c2226,nfquant) & (gener(c2226,gener_c) & (fact(c2226,real) & (etype(c2226,int1) & (card(c2226,int1990) & (sort(c2226,ab) & (card(c16,int5) & (sort(c16,nu) & (varia(monat_1_1,varia_c) & (refer(monat_1_1,refer_c) & (quant(monat_1_1,quant_c) & (gener(monat_1_1,ge) & (fact(monat_1_1,real) & (etype(monat_1_1,etype_c) & (card(monat_1_1,card_c) & (sort(monat_1_1,ta) & (sort(monat_1_1,oa) & (sort(monat_1_1,me) & (card(c15,int3) & (sort(c15,nu) & (varia(tag_1_1,varia_c) & (refer(tag_1_1,refer_c) & (quant(tag_1_1,quant_c) & (gener(tag_1_1,ge) & (fact(tag_1_1,real) & (etype(tag_1_1,etype_c) & (card(tag_1_1,card_c) & (sort(tag_1_1,ta) & (sort(tag_1_1,oa) & (sort(tag_1_1,me) & (varia(c19,varia_c) & (refer(c19,refer_c) & (quant(c19,quant_c) & (gener(c19,sp) & (fact(c19,real) & (etype(c19,etype_c) & (card(c19,card_c) & (sort(c19,ta) & (sort(c19,oa) & (sort(c19,me) & (varia(c18,varia_c) & (refer(c18,refer_c) & (quant(c18,quant_c) & (gener(c18,sp) & (fact(c18,real) & (etype(c18,etype_c) & (card(c18,card_c) & (sort(c18,ta) & (sort(c18,oa) & (sort(c18,me) & (varia(c17,con) & (refer(c17,det) & (quant(c17,one) & (gener(c17,sp) & (fact(c17,real) & (etype(c17,int0) & (card(c17,int1) & (sort(c17,t) & (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(c12,varia_c) & (refer(c12,indet) & (quant(c12,one) & (gener(c12,sp) & (fact(c12,real) & (etype(c12,int0) & (card(c12,int1) & (sort(c12,na) & (varia(c11,con) & (refer(c11,det) & (quant(c11,one) & (gener(c11,sp) & (fact(c11,real) & (etype(c11,int0) & (card(c11,int1) & (sort(c11,io) & (sort(c11,d) & (chsp2(planen_1_1,c2206) & (sub(maschinenfabrikant_1_1,fabrikant_1_1) & (assoc(maschinenfabrikant_1_1,aggregat_1_1) & (chsp2(gr__374nden_1_2,c2204) & (tupl_p8(c3436,c2226,c2230,c2836,c2840,c2844,c2842,c2868) & (tupl(c31,c11,c17) & (comp(c2868,fix_1_2,c2206) & (val(c2845,royce_0) & (sub(c2845,familiename_1_1) & (sub(c2844,mensch_1_1) & (attr(c2844,c2845) & (sub(c2842,gmbh__1_1) & (val(c2841,roll_0) & (sub(c2841,familiename_1_1) & (sub(c2840,mensch_1_1) & (attr(c2840,c2841) & (val(c2837,bmw_0) & (sub(c2837,name_1_1) & (sub(c2836,firma_1_1) & (attr(c2836,c2837) & (prop(c2230,britisch__1_1) & (pred(c2230,maschinenfabrikant_1_1) & (prop(c2226,c2204) & (val(c19,c16) & (sub(c19,monat_1_1) & (val(c18,c15) & (sub(c18,tag_1_1) & (attr(c17,c19) & (attr(c17,c18) & (val(c12,m__374nchen_0) & (sub(c12,name_1_1) & (sub(c11,stadt__1_1) & attr(c11,c12)))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.22/0.58 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1233'])).
% 0.22/0.58 fof('ave07_era5_synth_qa07_007_mira_news_1233', hypothesis, (((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((attr(c11,c12) & sub(c11,stadt__1_1)) & sub(c12,name_1_1)) & val(c12,m__374nchen_0)) & attr(c17,c18)) & attr(c17,c19)) & sub(c18,tag_1_1)) & val(c18,c15)) & sub(c19,monat_1_1)) & val(c19,c16)) & prop(c2226,c2204)) & pred(c2230,maschinenfabrikant_1_1)) & prop(c2230,britisch__1_1)) & attr(c2836,c2837)) & sub(c2836,firma_1_1)) & sub(c2837,name_1_1)) & val(c2837,bmw_0)) & attr(c2840,c2841)) & sub(c2840,mensch_1_1)) & sub(c2841,familiename_1_1)) & val(c2841,roll_0)) & sub(c2842,gmbh__1_1)) & attr(c2844,c2845)) & sub(c2844,mensch_1_1)) & sub(c2845,familiename_1_1)) & val(c2845,royce_0)) & comp(c2868,fix_1_2,c2206)) & tupl(c31,c11,c17)) & tupl_p8(c3436,c2226,c2230,c2836,c2840,c2844,c2842,c2868)) & chsp2(gr__374nden_1_2,c2204)) & assoc(maschinenfabrikant_1_1,aggregat_1_1)) & sub(maschinenfabrikant_1_1,fabrikant_1_1)) & chsp2(planen_1_1,c2206)) & sort(c11,d)) & sort(c11,io)) & card(c11,int1)) & etype(c11,int0)) & fact(c11,real)) & gener(c11,sp)) & quant(c11,one)) & refer(c11,det)) & varia(c11,con)) & sort(c12,na)) & card(c12,int1)) & etype(c12,int0)) & fact(c12,real)) & gener(c12,sp)) & quant(c12,one)) & refer(c12,indet)) & varia(c12,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(c17,t)) & card(c17,int1)) & etype(c17,int0)) & fact(c17,real)) & gener(c17,sp)) & quant(c17,one)) & refer(c17,det)) & varia(c17,con)) & sort(c18,me)) & sort(c18,oa)) & sort(c18,ta)) & card(c18,card_c)) & etype(c18,etype_c)) & fact(c18,real)) & gener(c18,sp)) & quant(c18,quant_c)) & refer(c18,refer_c)) & varia(c18,varia_c)) & sort(c19,me)) & sort(c19,oa)) & sort(c19,ta)) & card(c19,card_c)) & etype(c19,etype_c)) & fact(c19,real)) & gener(c19,sp)) & quant(c19,quant_c)) & refer(c19,refer_c)) & varia(c19,varia_c)) & sort(tag_1_1,me)) & sort(tag_1_1,oa)) & sort(tag_1_1,ta)) & card(tag_1_1,card_c)) & etype(tag_1_1,etype_c)) & fact(tag_1_1,real)) & gener(tag_1_1,ge)) & quant(tag_1_1,quant_c)) & refer(tag_1_1,refer_c)) & varia(tag_1_1,varia_c)) & sort(c15,nu)) & card(c15,int3)) & sort(monat_1_1,me)) & sort(monat_1_1,oa)) & sort(monat_1_1,ta)) & card(monat_1_1,card_c)) & etype(monat_1_1,etype_c)) & fact(monat_1_1,real)) & gener(monat_1_1,ge)) & quant(monat_1_1,quant_c)) & refer(monat_1_1,refer_c)) & varia(monat_1_1,varia_c)) & sort(c16,nu)) & card(c16,int5)) & sort(c2226,ab)) & card(c2226,int1990)) & etype(c2226,int1)) & fact(c2226,real)) & gener(c2226,gener_c)) & quant(c2226,nfquant)) & refer(c2226,refer_c)) & varia(c2226,varia_c)) & sort(c2204,tq)) & sort(c2230,d)) & sort(c2230,io)) & card(c2230,cons(x_constant,cons(int1,nil)))) & etype(c2230,int1)) & fact(c2230,real)) & gener(c2230,gener_c)) & quant(c2230,mult)) & refer(c2230,refer_c)) & varia(c2230,varia_c)) & sort(maschinenfabrikant_1_1,d)) & sort(maschinenfabrikant_1_1,io)) & card(maschinenfabrikant_1_1,int1)) & etype(maschinenfabrikant_1_1,int0)) & fact(maschinenfabrikant_1_1,real)) & gener(maschinenfabrikant_1_1,ge)) & quant(maschinenfabrikant_1_1,one)) & refer(maschinenfabrikant_1_1,refer_c)) & varia(maschinenfabrikant_1_1,varia_c)) & sort(britisch__1_1,nq)) & sort(c2836,d)) & sort(c2836,io)) & card(c2836,int1)) & etype(c2836,int0)) & fact(c2836,real)) & gener(c2836,sp)) & quant(c2836,one)) & refer(c2836,det)) & varia(c2836,con)) & sort(c2837,na)) & card(c2837,int1)) & etype(c2837,int0)) & fact(c2837,real)) & gener(c2837,sp)) & quant(c2837,one)) & refer(c2837,indet)) & varia(c2837,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(bmw_0,fe)) & sort(c2840,d)) & card(c2840,int1)) & etype(c2840,int0)) & fact(c2840,real)) & gener(c2840,sp)) & quant(c2840,one)) & refer(c2840,det)) & varia(c2840,con)) & sort(c2841,na)) & card(c2841,int1)) & etype(c2841,int0)) & fact(c2841,real)) & gener(c2841,sp)) & quant(c2841,one)) & refer(c2841,indet)) & varia(c2841,varia_c)) & sort(mensch_1_1,d)) & card(mensch_1_1,int1)) & etype(mensch_1_1,int0)) & fact(mensch_1_1,real)) & gener(mensch_1_1,ge)) & quant(mensch_1_1,one)) & refer(mensch_1_1,refer_c)) & varia(mensch_1_1,varia_c)) & sort(familiename_1_1,na)) & card(familiename_1_1,int1)) & etype(familiename_1_1,int0)) & fact(familiename_1_1,real)) & gener(familiename_1_1,ge)) & quant(familiename_1_1,one)) & refer(familiename_1_1,refer_c)) & varia(familiename_1_1,varia_c)) & sort(roll_0,fe)) & sort(c2842,d)) & sort(c2842,io)) & card(c2842,int1)) & etype(c2842,int1)) & fact(c2842,real)) & gener(c2842,gener_c)) & quant(c2842,one)) & refer(c2842,refer_c)) & varia(c2842,varia_c)) & sort(gmbh__1_1,d)) & sort(gmbh__1_1,io)) & card(gmbh__1_1,card_c)) & etype(gmbh__1_1,int1)) & fact(gmbh__1_1,real)) & gener(gmbh__1_1,ge)) & quant(gmbh__1_1,quant_c)) & refer(gmbh__1_1,refer_c)) & varia(gmbh__1_1,varia_c)) & sort(c2844,d)) & card(c2844,int1)) & etype(c2844,int0)) & fact(c2844,real)) & gener(c2844,sp)) & quant(c2844,one)) & refer(c2844,det)) & varia(c2844,con)) & sort(c2845,na)) & card(c2845,int1)) & etype(c2845,int0)) & fact(c2845,real)) & gener(c2845,sp)) & quant(c2845,one)) & refer(c2845,indet)) & varia(c2845,varia_c)) & sort(royce_0,fe)) & sort(c2868,tq)) & sort(fix_1_2,mq)) & sort(c2206,tq)) & sort(c31,ent)) & card(c31,card_c)) & etype(c31,etype_c)) & fact(c31,real)) & gener(c31,gener_c)) & quant(c31,quant_c)) & refer(c31,refer_c)) & varia(c31,varia_c)) & sort(c3436,ent)) & card(c3436,card_c)) & etype(c3436,etype_c)) & fact(c3436,real)) & gener(c3436,gener_c)) & quant(c3436,quant_c)) & refer(c3436,refer_c)) & varia(c3436,varia_c)) & sort(gr__374nden_1_2,da)) & fact(gr__374nden_1_2,real)) & gener(gr__374nden_1_2,ge)) & sort(aggregat_1_1,d)) & sort(aggregat_1_1,io)) & card(aggregat_1_1,int1)) & etype(aggregat_1_1,int0)) & fact(aggregat_1_1,real)) & gener(aggregat_1_1,ge)) & quant(aggregat_1_1,one)) & refer(aggregat_1_1,refer_c)) & varia(aggregat_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)) & sort(planen_1_1,da)) & fact(planen_1_1,real)) & gener(planen_1_1,ge)),
% 0.22/0.58 input).
% 0.22/0.58 fof('synth_qa07_007_mira_news_1233_$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))))))))),
% 0.22/0.58 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1233'])).
% 0.22/0.58 fof('synth_qa07_007_mira_news_1233', 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))),
% 0.22/0.58 input).
% 0.22/0.58 fof('$inc_state_adjective__in_state_$sk', plain, ((val($sk16(X1,X2,X3),X3) & (sub($sk16(X1,X2,X3),name_1_1) & (sub($sk15(X1,X2,X3),land_1_1) & (loc(X2,$sk14(X1,X2,X3)) & (attr($sk15(X1,X2,X3),$sk16(X1,X2,X3)) & in($sk14(X1,X2,X3),$sk15(X1,X2,X3))))))) | (~state_adjective_state_binding(X1,X3) | ~prop(X2,X1))),
% 0.22/0.58 inference(negpush_and_skolemize,[],['$inc_state_adjective__in_state'])).
% 0.22/0.58 fof('$inc_state_adjective__in_state', axiom, (! [X0,X1,X2] : ((prop(X0,X1) & state_adjective_state_binding(X1,X2)) => (? [X3,X4,X5] : (((((in(X5,X3) & attr(X3,X4)) & loc(X0,X5)) & sub(X3,land_1_1)) & sub(X4,name_1_1)) & val(X4,X2))))),
% 0.22/0.58 input).
% 0.22/0.58 fof('$inc_fact_8846', axiom, state_adjective_state_binding(britisch__1_1,grossbritannien_0),
% 0.22/0.58 input).
% 0.22/0.58 fof('$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($sk7(X1,X2,X3),X1)))))))) | (~subr(X2,sub_0) | (~arg2(X2,X3) | ~arg1(X2,X1)))),
% 0.22/0.58 inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.22/0.58 fof('$inc_sub__bezeichnen_1_1_als', axiom, (! [X0,X1,X2] : (((arg1(X0,X1) & arg2(X0,X2)) & subr(X0,sub_0)) => (? [X3,X4,X5] : (((((((arg1(X4,X1) & arg2(X4,X5)) & hsit(X0,X3)) & mcont(X3,X4)) & obj(X3,X1)) & sub(X5,X2)) & subr(X4,rprs_0)) & subs(X3,bezeichnen_1_1))))),
% 0.22/0.58 input).
% 0.22/0.58 fof('$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)),
% 0.22/0.58 inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.22/0.58 fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.22/0.58 input).
% 0.22/0.58 cnf('1', plain, (attr(c2836,c2837)),
% 0.22/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1233_$sk'])).
% 0.22/0.58 cnf('2', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(U,V) | ~attr(W,X) | ~obj(X2006,W) | ~sub(W,firma_1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 0.22/0.58 inference(cnf_transformation,[],['synth_qa07_007_mira_news_1233_$sk'])).
% 0.22/0.58 cnf('3', plain, (val(c2837,bmw_0)),
% 0.22/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1233_$sk'])).
% 0.22/0.58 cnf('4', plain, (sub(c2836,firma_1_1)),
% 0.22/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1233_$sk'])).
% 0.22/0.58 cnf('5', plain, (sub(c2837,name_1_1)),
% 0.22/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1233_$sk'])).
% 0.22/0.58 cnf('6', plain, (~val(X,bmw_0) | ~attr(Y,Z) | ~attr(U,X) | ~obj(V,c2836) | ~sub(X,name_1_1)),
% 0.22/0.58 inference(resolution,[then_simplify],['1','2','3','4','5'])).
% 0.22/0.58 cnf('7', plain, (~attr(X,Y) | ~obj(Z,c2836)),
% 0.22/0.58 inference(resolution,[then_simplify],['6','1','3','5'])).
% 0.22/0.58 cnf('8', plain, (attr($sk15(X,Y,Z),$sk16(X,Y,Z)) | ~state_adjective_state_binding(X,Z) | ~prop(Y,X)),
% 0.22/0.58 inference(cnf_transformation,[],['$inc_state_adjective__in_state_$sk'])).
% 0.22/0.58 cnf('9', plain, (state_adjective_state_binding(britisch__1_1,grossbritannien_0)),
% 0.22/0.58 inference(cnf_transformation,[],['$inc_fact_8846'])).
% 0.22/0.58 cnf('10', plain, (attr($sk15(britisch__1_1,X,grossbritannien_0),$sk16(britisch__1_1,X,grossbritannien_0)) | ~prop(X,britisch__1_1)),
% 0.22/0.58 inference(resolution,[],['8','9'])).
% 0.22/0.58 cnf('11', plain, (prop(c2230,britisch__1_1)),
% 0.22/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1233_$sk'])).
% 0.22/0.58 cnf('12', plain, (attr($sk15(britisch__1_1,c2230,grossbritannien_0),$sk16(britisch__1_1,c2230,grossbritannien_0))),
% 0.22/0.58 inference(resolution,[],['10','11'])).
% 0.22/0.58 cnf('13', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.22/0.58 inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.22/0.58 cnf('14', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.22/0.58 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.22/0.58 cnf('15', plain, (sub(c2836,firma_1_1)),
% 0.22/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1233_$sk'])).
% 0.22/0.58 cnf('16', plain, (arg2($sk6(c2836,firma_1_1),firma_1_1)),
% 0.22/0.58 inference(resolution,[],['14','15'])).
% 0.22/0.58 cnf('17', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.22/0.58 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.22/0.58 cnf('18', plain, (subr($sk6(c2836,firma_1_1),sub_0)),
% 0.22/0.58 inference(resolution,[],['17','15'])).
% 0.22/0.58 cnf('19', plain, (obj($sk9(X,$sk6(c2836,firma_1_1),firma_1_1),X) | ~arg1($sk6(c2836,firma_1_1),X)),
% 0.22/0.58 inference(resolution,[then_simplify],['13','16','18'])).
% 0.22/0.58 cnf('20', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.22/0.58 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.22/0.58 cnf('21', plain, (arg1($sk6(c2836,firma_1_1),c2836)),
% 0.22/0.58 inference(resolution,[],['20','15'])).
% 0.22/0.58 cnf('22', plain, (obj($sk9(c2836,$sk6(c2836,firma_1_1),firma_1_1),c2836)),
% 0.22/0.58 inference(resolution,[],['19','21'])).
% 0.22/0.58 cnf('23', plain, ($false),
% 0.22/0.58 inference(resolution,[then_simplify],['7','12','22'])).
% 0.22/0.58
% 0.22/0.58 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.22/0.58
% 0.22/0.58 run 7 fork 6 statistics:
% 0.22/0.58 ----------------------------------
% 0.22/0.58 this run seconds: 0.057395
% 0.22/0.58 total seconds: 0.092011
% 0.22/0.58 stat_given_used: 2281
% 0.22/0.58 stat_given_used_at_endgame: 0
% 0.22/0.58 stat_given_candidates: 2840
% 0.22/0.58 stat_given_candidates_at_endgame: 0
% 0.22/0.58 stat_given_candidates_h: 0
% 0.22/0.58 stat_binres_derived_cl: 4520
% 0.22/0.58 stat_binres_derived_cl_h: 0
% 0.22/0.58 stat_factor_derived_cl: 9
% 0.22/0.58 stat_para_derived_cl: 0
% 0.22/0.58 stat_tautologies_discarded: 3
% 0.22/0.58 stat_forward_subsumed: 110
% 0.22/0.58 stat_derived_cut: 539
% 0.22/0.58 stat_derived_rewritten: 0
% 0.22/0.58 stat_weight_discarded_building: 0
% 0.22/0.58 stat_weight_discarded_cl: 332
% 0.22/0.58 stat_internlimit_discarded_cl: 0
% 0.22/0.58 stat_simplified: 0 simplified 0 derived 0 given
% 0.22/0.58 stat_kept_cl: 4083
% 0.22/0.58 stat_built_cl: 8977
% 0.22/0.58 stat_hyperres_partial_cl: 0
% 0.22/0.58 stat_made_rewriters: 0
% 0.22/0.58 stat_backward_subsumed: 0
% 0.22/0.58 stat_propagated_subsumed: 0
% 0.22/0.58 stat_clsubs_attempted: 11535
% 0.22/0.58 stat_clsubs_fact_groundunit_found: 380
% 0.22/0.58 stat_clsubs_rule_groundunit_found: 0
% 0.22/0.58 stat_clsubs_top_meta_attempted: 1193215
% 0.22/0.58 stat_clsubs_top_meta_failed: 1181680
% 0.22/0.58 stat_clsubs_top_meta_nonpref_attempted: 1193215
% 0.22/0.58 stat_clsubs_top_meta_nonpref_succeeded: 556790
% 0.22/0.58 stat_clsubs_top_meta_pref_attempted: 556790
% 0.22/0.58 stat_clsubs_top_meta_pref1_succeeded: 30026
% 0.22/0.58 stat_clsubs_top_meta_pref2_succeeded: 13184
% 0.22/0.58 stat_clsubs_top_meta_pref3_succeeded: 11535
% 0.22/0.58 stat_clsubs_top_meta_pref_succeeded: 11535
% 0.22/0.58 stat_clsubs_meta_attempted: 18625
% 0.22/0.58 stat_clsubs_meta_failed: 7905
% 0.22/0.58 stat_clsubs_predsymbs_attempted: 0
% 0.22/0.58 stat_clsubs_unit_attempted: 188
% 0.22/0.58 stat_clsubs_full_attempted: 11347
% 0.22/0.58 stat_forwardsubs_attempted: 4526
% 0.22/0.58 stat_lit_hash_added: 4767
% 0.22/0.58 stat_lit_hash_computed: 36327
% 0.22/0.58 stat_lit_hash_match_found: 1032
% 0.22/0.58 stat_lit_hash_match_miss: 45590
% 0.22/0.58 stat_lit_hash_cut_ok: 542
% 0.22/0.58 stat_lit_strong_cut_ok: 1
% 0.22/0.58 stat_lit_hash_subsume_ok: 110
% 0.22/0.58 clqueue els 10000000 used 1
% 0.22/0.58 clactive els 10000000 used 2282
% 0.22/0.58 clactivesubsume els 10000000 used 8083
% 0.22/0.58 queue_termbuf els 200000000 used 262635
% 0.22/0.58 hyper_termbuf els 100000000 used 1
% 0.22/0.58 active_termbuf els 100000000 used 54451
% 0.22/0.58 varstack els 5000 last used 1
% 0.22/0.58 given_termbuf els 10000000 last used 1
% 0.22/0.58 simplified_termbuf els 10000000 last used 1
% 0.22/0.58 derived_termbuf els 10000000 last used 22
% 0.22/0.58 wr_mallocs: 19238
% 0.22/0.58 wr_callocs: 21
% 0.22/0.58 wr_reallocs: 880
% 0.22/0.58 wr_frees: 4
% 0.22/0.58 wr_malloc_bytes: 4163270580
% 0.22/0.58 wr_calloc_bytes: 112065536
% 0.22/0.58 wr_realloc_bytes: 813304
% 0.22/0.58 wr_realloc_freebytes: 0
% 0.22/0.58 ----------------------------------
%------------------------------------------------------------------------------