%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+43 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n013.cluster.edu
% Model : x86_64 x86_64
% CPU : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory : 8042.1875MB
% OS : Linux 3.10.0-693.el7.x86_64
% CPULimit : 300s
% WCLimit : 300s
% DateTime : Wed Aug 30 21:24:29 EDT 2023
% Result : Theorem 0.20s 0.55s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.08/0.12 % Problem : CSR115+43 : TPTP v8.1.2. Released v4.0.0.
% 0.08/0.13 % Command : gkc %s
% 0.13/0.34 % Computer : n013.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 11:03:02 EDT 2023
% 0.13/0.35 % 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}
% 0.20/0.48
% 0.20/0.48 **** run 3 fork 2 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.20/0.48
% 0.20/0.48 **** run 4 fork 3 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.20/0.48
% 0.20/0.48 **** run 5 fork 4 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.20/0.48
% 0.20/0.48 **** run 6 fork 5 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.20/0.48
% 0.20/0.48 **** run 7 fork 6 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.20/0.49
% 0.20/0.49 **** run 8 fork 7 starts with strategy
% 0.20/0.49 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.20/0.55
% 0.20/0.55
% 0.20/0.55 result: proof found
% 0.20/0.55 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.55 by run 3 fork 2 strategy {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.20/0.55 % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.55
% 0.20/0.55 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.55 fof('ave07_era5_synth_qa07_007_mira_news_1249_$sk', plain, (varia(c523,varia_c) & (refer(c523,refer_c) & (quant(c523,quant_c) & (gener(c523,gener_c) & (fact(c523,real) & (etype(c523,etype_c) & (card(c523,card_c) & (sort(c523,ent) & (sort(rover_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(gruppe_1_1,varia_c) & (refer(gruppe_1_1,refer_c) & (quant(gruppe_1_1,quant_c) & (gener(gruppe_1_1,ge) & (fact(gruppe_1_1,real) & (etype(gruppe_1_1,int1) & (card(gruppe_1_1,card_c) & (sort(gruppe_1_1,d) & (sort(britisch__1_1,nq) & (varia(c389,varia_c) & (refer(c389,det) & (quant(c389,one) & (gener(c389,sp) & (fact(c389,real) & (etype(c389,int0) & (card(c389,int1) & (sort(c389,na) & (varia(c388,varia_c) & (refer(c388,det) & (quant(c388,one) & (gener(c388,sp) & (fact(c388,real) & (etype(c388,int1) & (card(c388,int1) & (sort(c388,d) & (varia(c38,varia_c) & (refer(c38,refer_c) & (quant(c38,quant_c) & (gener(c38,gener_c) & (fact(c38,real) & (etype(c38,etype_c) & (card(c38,card_c) & (sort(c38,ent) & (sort(bmw_0,fe) & (sort(bundesdeutsch_1_1,tq) & (varia(c374,varia_c) & (refer(c374,indet) & (quant(c374,one) & (gener(c374,sp) & (fact(c374,real) & (etype(c374,int0) & (card(c374,int1) & (sort(c374,na) & (varia(c373,con) & (refer(c373,det) & (quant(c373,one) & (gener(c373,sp) & (fact(c373,real) & (etype(c373,int0) & (card(c373,int1) & (sort(c373,io) & (sort(c373,d) & (card(c23,int1) & (sort(c23,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(c22,int31) & (sort(c22,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(c26,varia_c) & (refer(c26,refer_c) & (quant(c26,quant_c) & (gener(c26,sp) & (fact(c26,real) & (etype(c26,etype_c) & (card(c26,card_c) & (sort(c26,ta) & (sort(c26,oa) & (sort(c26,me) & (varia(c25,varia_c) & (refer(c25,refer_c) & (quant(c25,quant_c) & (gener(c25,sp) & (fact(c25,real) & (etype(c25,etype_c) & (card(c25,card_c) & (sort(c25,ta) & (sort(c25,oa) & (sort(c25,me) & (varia(c24,con) & (refer(c24,det) & (quant(c24,one) & (gener(c24,sp) & (fact(c24,real) & (etype(c24,int0) & (card(c24,int1) & (sort(c24,t) & (sort(london_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(c19,varia_c) & (refer(c19,indet) & (quant(c19,one) & (gener(c19,sp) & (fact(c19,real) & (etype(c19,int0) & (card(c19,int1) & (sort(c19,na) & (varia(c18,con) & (refer(c18,det) & (quant(c18,one) & (gener(c18,sp) & (fact(c18,real) & (etype(c18,int0) & (card(c18,int1) & (sort(c18,io) & (sort(c18,d) & (varia(firmengruppe_1_1,varia_c) & (refer(firmengruppe_1_1,refer_c) & (quant(firmengruppe_1_1,one) & (gener(firmengruppe_1_1,ge) & (fact(firmengruppe_1_1,real) & (etype(firmengruppe_1_1,int0) & (card(firmengruppe_1_1,int1) & (sort(firmengruppe_1_1,io) & (sort(firmengruppe_1_1,d) & (sort(automobil_1_1,tq) & (varia(autokonzern_1_1,varia_c) & (refer(autokonzern_1_1,refer_c) & (quant(autokonzern_1_1,one) & (gener(autokonzern_1_1,ge) & (fact(autokonzern_1_1,real) & (etype(autokonzern_1_1,int0) & (card(autokonzern_1_1,int1) & (sort(autokonzern_1_1,io) & (sort(autokonzern_1_1,d) & (tupl(c523,c373,c388) & (val(c389,rover_0) & (sub(c389,familiename_1_1) & (sub(c388,gruppe_1_1) & (prop(c388,britisch__1_1) & (attr(c388,c389) & (tupl(c38,c18,c24) & (val(c374,bmw_0) & (sub(c374,name_1_1) & (sub(c373,autokonzern_1_1) & (prop(c373,bundesdeutsch_1_1) & (attr(c373,c374) & (val(c26,c23) & (sub(c26,monat_1_1) & (val(c25,c22) & (sub(c25,tag_1_1) & (attr(c24,c26) & (attr(c24,c25) & (val(c19,london_0) & (sub(c19,name_1_1) & (sub(c18,stadt__1_1) & (attr(c18,c19) & (sub(autokonzern_1_1,firmengruppe_1_1) & assoc(autokonzern_1_1,automobil_1_1))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.20/0.55 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1249'])).
% 0.20/0.55 fof('ave07_era5_synth_qa07_007_mira_news_1249', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((assoc(autokonzern_1_1,automobil_1_1) & sub(autokonzern_1_1,firmengruppe_1_1)) & attr(c18,c19)) & sub(c18,stadt__1_1)) & sub(c19,name_1_1)) & val(c19,london_0)) & attr(c24,c25)) & attr(c24,c26)) & sub(c25,tag_1_1)) & val(c25,c22)) & sub(c26,monat_1_1)) & val(c26,c23)) & attr(c373,c374)) & prop(c373,bundesdeutsch_1_1)) & sub(c373,autokonzern_1_1)) & sub(c374,name_1_1)) & val(c374,bmw_0)) & tupl(c38,c18,c24)) & attr(c388,c389)) & prop(c388,britisch__1_1)) & sub(c388,gruppe_1_1)) & sub(c389,familiename_1_1)) & val(c389,rover_0)) & tupl(c523,c373,c388)) & sort(autokonzern_1_1,d)) & sort(autokonzern_1_1,io)) & card(autokonzern_1_1,int1)) & etype(autokonzern_1_1,int0)) & fact(autokonzern_1_1,real)) & gener(autokonzern_1_1,ge)) & quant(autokonzern_1_1,one)) & refer(autokonzern_1_1,refer_c)) & varia(autokonzern_1_1,varia_c)) & sort(automobil_1_1,tq)) & sort(firmengruppe_1_1,d)) & sort(firmengruppe_1_1,io)) & card(firmengruppe_1_1,int1)) & etype(firmengruppe_1_1,int0)) & fact(firmengruppe_1_1,real)) & gener(firmengruppe_1_1,ge)) & quant(firmengruppe_1_1,one)) & refer(firmengruppe_1_1,refer_c)) & varia(firmengruppe_1_1,varia_c)) & sort(c18,d)) & sort(c18,io)) & card(c18,int1)) & etype(c18,int0)) & fact(c18,real)) & gener(c18,sp)) & quant(c18,one)) & refer(c18,det)) & varia(c18,con)) & sort(c19,na)) & card(c19,int1)) & etype(c19,int0)) & fact(c19,real)) & gener(c19,sp)) & quant(c19,one)) & refer(c19,indet)) & varia(c19,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(london_0,fe)) & sort(c24,t)) & card(c24,int1)) & etype(c24,int0)) & fact(c24,real)) & gener(c24,sp)) & quant(c24,one)) & refer(c24,det)) & varia(c24,con)) & sort(c25,me)) & sort(c25,oa)) & sort(c25,ta)) & card(c25,card_c)) & etype(c25,etype_c)) & fact(c25,real)) & gener(c25,sp)) & quant(c25,quant_c)) & refer(c25,refer_c)) & varia(c25,varia_c)) & sort(c26,me)) & sort(c26,oa)) & sort(c26,ta)) & card(c26,card_c)) & etype(c26,etype_c)) & fact(c26,real)) & gener(c26,sp)) & quant(c26,quant_c)) & refer(c26,refer_c)) & varia(c26,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(c22,nu)) & card(c22,int31)) & 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(c23,nu)) & card(c23,int1)) & sort(c373,d)) & sort(c373,io)) & card(c373,int1)) & etype(c373,int0)) & fact(c373,real)) & gener(c373,sp)) & quant(c373,one)) & refer(c373,det)) & varia(c373,con)) & sort(c374,na)) & card(c374,int1)) & etype(c374,int0)) & fact(c374,real)) & gener(c374,sp)) & quant(c374,one)) & refer(c374,indet)) & varia(c374,varia_c)) & sort(bundesdeutsch_1_1,tq)) & sort(bmw_0,fe)) & sort(c38,ent)) & card(c38,card_c)) & etype(c38,etype_c)) & fact(c38,real)) & gener(c38,gener_c)) & quant(c38,quant_c)) & refer(c38,refer_c)) & varia(c38,varia_c)) & sort(c388,d)) & card(c388,int1)) & etype(c388,int1)) & fact(c388,real)) & gener(c388,sp)) & quant(c388,one)) & refer(c388,det)) & varia(c388,varia_c)) & sort(c389,na)) & card(c389,int1)) & etype(c389,int0)) & fact(c389,real)) & gener(c389,sp)) & quant(c389,one)) & refer(c389,det)) & varia(c389,varia_c)) & sort(britisch__1_1,nq)) & sort(gruppe_1_1,d)) & card(gruppe_1_1,card_c)) & etype(gruppe_1_1,int1)) & fact(gruppe_1_1,real)) & gener(gruppe_1_1,ge)) & quant(gruppe_1_1,quant_c)) & refer(gruppe_1_1,refer_c)) & varia(gruppe_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(rover_0,fe)) & sort(c523,ent)) & card(c523,card_c)) & etype(c523,etype_c)) & fact(c523,real)) & gener(c523,gener_c)) & quant(c523,quant_c)) & refer(c523,refer_c)) & varia(c523,varia_c)),
% 0.20/0.55 input).
% 0.20/0.55 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)),
% 0.20/0.55 inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.20/0.55 fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.20/0.55 input).
% 0.20/0.55 fof('synth_qa07_007_mira_news_1249_$sk', plain, (~val(X7,bmw_0) | (~val(X1,bmw_0) | (~sub(X7,name_1_1) | (~sub(X1,name_1_1) | (~obj(X6,X5) | (~attr(X2,X3) | (~attr(X4,X7) | ~attr(X5,X1)))))))),
% 0.20/0.55 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1249'])).
% 0.20/0.55 fof('synth_qa07_007_mira_news_1249', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : (((((((attr(X0,X1) & attr(X3,X2)) & attr(X5,X6)) & obj(X4,X0)) & sub(X1,name_1_1)) & sub(X2,name_1_1)) & val(X1,bmw_0)) & val(X2,bmw_0))),
% 0.20/0.55 input).
% 0.20/0.55 fof('$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($sk7(X1,X2,X3),X1)))))))) | (~subr(X2,sub_0) | (~arg2(X2,X3) | ~arg1(X2,X1)))),
% 0.20/0.55 inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.20/0.55 fof('$inc_sub__bezeichnen_1_1_als', axiom, (! [X0,X1,X2] : (((arg1(X0,X1) & arg2(X0,X2)) & subr(X0,sub_0)) => (? [X3,X4,X5] : (((((((arg1(X4,X1) & arg2(X4,X5)) & hsit(X0,X3)) & mcont(X3,X4)) & obj(X3,X1)) & sub(X5,X2)) & subr(X4,rprs_0)) & subs(X3,bezeichnen_1_1))))),
% 0.20/0.55 input).
% 0.20/0.55 cnf('1', plain, (sub(c373,autokonzern_1_1)),
% 0.20/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1249_$sk'])).
% 0.20/0.55 cnf('2', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.20/0.55 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.55 cnf('3', plain, (subr($sk6(c373,autokonzern_1_1),sub_0)),
% 0.20/0.55 inference(resolution,[],['1','2'])).
% 0.20/0.55 cnf('4', plain, (attr(c373,c374)),
% 0.20/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1249_$sk'])).
% 0.20/0.55 cnf('5', plain, (attr(c24,c26)),
% 0.20/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1249_$sk'])).
% 0.20/0.55 cnf('6', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(U,V) | ~attr(W,X) | ~obj(X2006,W) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 0.20/0.55 inference(cnf_transformation,[],['synth_qa07_007_mira_news_1249_$sk'])).
% 0.20/0.55 cnf('7', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,U) | ~attr(V,X) | ~obj(W,Y) | ~sub(X,name_1_1)),
% 0.20/0.55 inference(factorization,[],['6'])).
% 0.20/0.55 cnf('8', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,X) | ~obj(U,Z) | ~sub(X,name_1_1)),
% 0.20/0.55 inference(resolution,[],['5','7'])).
% 0.20/0.55 cnf('9', plain, (val(c374,bmw_0)),
% 0.20/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1249_$sk'])).
% 0.20/0.55 cnf('10', plain, (sub(c374,name_1_1)),
% 0.20/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1249_$sk'])).
% 0.20/0.55 cnf('11', plain, (~attr(X,c374) | ~obj(Y,X)),
% 0.20/0.55 inference(resolution,[then_simplify],['4','8','9','10'])).
% 0.20/0.55 cnf('12', plain, (~obj(X,c373)),
% 0.20/0.55 inference(resolution,[],['11','4'])).
% 0.20/0.55 cnf('13', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.20/0.55 inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.20/0.55 cnf('14', plain, (~subr(X,sub_0) | ~arg1(X,c373) | ~arg2(X,Y)),
% 0.20/0.55 inference(resolution,[],['12','13'])).
% 0.20/0.55 cnf('15', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.20/0.55 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.55 cnf('16', plain, (arg1($sk6(c373,autokonzern_1_1),c373)),
% 0.20/0.55 inference(resolution,[],['1','15'])).
% 0.20/0.55 cnf('17', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.20/0.55 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.55 cnf('18', plain, (arg2($sk6(c373,autokonzern_1_1),autokonzern_1_1)),
% 0.20/0.55 inference(resolution,[],['1','17'])).
% 0.20/0.55 cnf('19', plain, ($false),
% 0.20/0.55 inference(resolution,[then_simplify],['3','14','16','18'])).
% 0.20/0.55
% 0.20/0.55 % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.55
% 0.20/0.55 run 3 fork 2 statistics:
% 0.20/0.55 ----------------------------------
% 0.20/0.55 this run seconds: 0.024442
% 0.20/0.55 total seconds: 0.071776
% 0.20/0.55 stat_given_used: 499
% 0.20/0.55 stat_given_used_at_endgame: 0
% 0.20/0.55 stat_given_candidates: 889
% 0.20/0.55 stat_given_candidates_at_endgame: 0
% 0.20/0.55 stat_given_candidates_h: 0
% 0.20/0.55 stat_binres_derived_cl: 1543
% 0.20/0.55 stat_binres_derived_cl_h: 0
% 0.20/0.55 stat_factor_derived_cl: 11
% 0.20/0.55 stat_para_derived_cl: 0
% 0.20/0.55 stat_tautologies_discarded: 0
% 0.20/0.55 stat_forward_subsumed: 43
% 0.20/0.55 stat_derived_cut: 195
% 0.20/0.55 stat_derived_rewritten: 0
% 0.20/0.55 stat_weight_discarded_building: 0
% 0.20/0.55 stat_weight_discarded_cl: 0
% 0.20/0.55 stat_internlimit_discarded_cl: 0
% 0.20/0.55 stat_simplified: 1 simplified 0 derived 0 given
% 0.20/0.55 stat_kept_cl: 1510
% 0.20/0.55 stat_built_cl: 3265
% 0.20/0.55 stat_hyperres_partial_cl: 0
% 0.20/0.55 stat_made_rewriters: 0
% 0.20/0.55 stat_backward_subsumed: 0
% 0.20/0.55 stat_propagated_subsumed: 0
% 0.20/0.55 stat_clsubs_attempted: 1201
% 0.20/0.55 stat_clsubs_fact_groundunit_found: 78
% 0.20/0.55 stat_clsubs_rule_groundunit_found: 9
% 0.20/0.55 stat_clsubs_top_meta_attempted: 34864
% 0.20/0.55 stat_clsubs_top_meta_failed: 33663
% 0.20/0.55 stat_clsubs_top_meta_nonpref_attempted: 34864
% 0.20/0.55 stat_clsubs_top_meta_nonpref_succeeded: 6047
% 0.20/0.55 stat_clsubs_top_meta_pref_attempted: 6047
% 0.20/0.55 stat_clsubs_top_meta_pref1_succeeded: 2219
% 0.20/0.55 stat_clsubs_top_meta_pref2_succeeded: 1209
% 0.20/0.55 stat_clsubs_top_meta_pref3_succeeded: 1201
% 0.20/0.55 stat_clsubs_top_meta_pref_succeeded: 1201
% 0.20/0.55 stat_clsubs_meta_attempted: 10545
% 0.20/0.55 stat_clsubs_meta_failed: 4688
% 0.20/0.55 stat_clsubs_predsymbs_attempted: 0
% 0.20/0.55 stat_clsubs_unit_attempted: 157
% 0.20/0.55 stat_clsubs_full_attempted: 1044
% 0.20/0.55 stat_forwardsubs_attempted: 1554
% 0.20/0.55 stat_lit_hash_added: 1829
% 0.20/0.55 stat_lit_hash_computed: 15939
% 0.20/0.55 stat_lit_hash_match_found: 349
% 0.20/0.55 stat_lit_hash_match_miss: 20389
% 0.20/0.55 stat_lit_hash_cut_ok: 213
% 0.20/0.55 stat_lit_strong_cut_ok: 8
% 0.20/0.55 stat_lit_hash_subsume_ok: 43
% 0.20/0.55 clqueue els 10000000 used 1
% 0.20/0.55 clactive els 10000000 used 878
% 0.20/0.55 clactivesubsume els 10000000 used 571
% 0.20/0.55 queue_termbuf els 200000000 used 85183
% 0.20/0.55 hyper_termbuf els 100000000 used 1
% 0.20/0.55 active_termbuf els 100000000 used 20996
% 0.20/0.55 varstack els 5000 last used 1
% 0.20/0.55 given_termbuf els 10000000 last used 1
% 0.20/0.55 simplified_termbuf els 10000000 last used 1
% 0.20/0.55 derived_termbuf els 10000000 last used 46
% 0.20/0.55 wr_mallocs: 8766
% 0.20/0.55 wr_callocs: 21
% 0.20/0.55 wr_reallocs: 279
% 0.20/0.55 wr_frees: 4
% 0.20/0.55 wr_malloc_bytes: 4162901172
% 0.20/0.55 wr_calloc_bytes: 112065536
% 0.20/0.55 wr_realloc_bytes: 701464
% 0.20/0.55 wr_realloc_freebytes: 0
% 0.20/0.55 ----------------------------------
%------------------------------------------------------------------------------