TSTP Solution File: CSR115+36 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+36 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n019.cluster.edu
% Model : x86_64 x86_64
% CPU : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory : 8042.1875MB
% OS : Linux 3.10.0-693.el7.x86_64
% CPULimit : 300s
% WCLimit : 300s
% DateTime : Wed Aug 30 21:24:27 EDT 2023
% Result : Theorem 0.21s 0.55s
% Output : CNFRefutation 0.21s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.13 % Problem : CSR115+36 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.13 % Command : gkc %s
% 0.14/0.35 % Computer : n019.cluster.edu
% 0.14/0.35 % Model : x86_64 x86_64
% 0.14/0.35 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.14/0.35 % Memory : 8042.1875MB
% 0.14/0.35 % OS : Linux 3.10.0-693.el7.x86_64
% 0.14/0.35 % CPULimit : 300
% 0.14/0.35 % WCLimit : 300
% 0.14/0.35 % DateTime : Mon Aug 28 12:44:13 EDT 2023
% 0.14/0.35 % CPUTime :
% 0.21/0.47
% 0.21/0.47 input clause set summed statistics:
% 0.21/0.47 ----------------------------------
% 0.21/0.47 in_clause_count: 10534
% 0.21/0.47 in_rule_clause_count: 336
% 0.21/0.47 in_fact_clause_count: 10198
% 0.21/0.47 in_answer_clause_count: 0
% 0.21/0.47 in_ground_clause_count: 10198
% 0.21/0.47 in_unit_clause_count: 10200
% 0.21/0.47 in_horn_clause_count: 10524
% 0.21/0.47 in_pos_clause_count: 10204
% 0.21/0.47 in_neg_clause_count: 11
% 0.21/0.47 in_poseq_clause_count: 0
% 0.21/0.47 in_negeq_clause_count: 0
% 0.21/0.47 in_unitposeq_clause_count: 0
% 0.21/0.47 in_chain_clause_count: 0
% 0.21/0.47 in_min_length: 1
% 0.21/0.47 in_max_length: 9
% 0.21/0.47 in_min_depth: 1
% 0.21/0.47 in_max_depth: 5
% 0.21/0.47 in_min_size: 3
% 0.21/0.47 in_max_size: 30
% 0.21/0.47 in_min_vars: 0
% 0.21/0.47 in_max_vars: 7
% 0.21/0.47 in_extaxiom_count: 10394
% 0.21/0.47 in_axiom_count: 0
% 0.21/0.47 in_assumption_count: 139
% 0.21/0.47 in_goal_count: 1
% 0.21/0.47 in_neg_goal_count: 1
% 0.21/0.47 in_pos_goal_count: 0
% 0.21/0.47 in_posunit_goal_count: 0
% 0.21/0.47
% 0.21/0.47 auto guide:
% 0.21/0.47 -----------
% 0.21/0.47 {
% 0.21/0.47 "print":1,
% 0.21/0.47 "print_level": 15,
% 0.21/0.47 "max_size": 0,
% 0.21/0.47 "max_depth": 0,
% 0.21/0.47 "max_length": 0,
% 0.21/0.47 "max_dseconds": 0,
% 0.21/0.47 "equality":0,
% 0.21/0.47 "runs":[
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.21/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.21/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.21/0.47
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.21/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.21/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.21/0.47 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.21/0.47
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.21/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.21/0.47 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.21/0.47
% 0.21/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.47 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.47 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.47
% 0.21/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.21/0.47
% 0.21/0.47 ]}
% 0.21/0.47
% 0.21/0.47
% 0.21/0.47 **** run 1 fork 0 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.21/0.47
% 0.21/0.47 **** run 3 fork 2 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.21/0.47
% 0.21/0.47 **** run 4 fork 3 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.21/0.47
% 0.21/0.47 **** run 2 fork 1 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.21/0.47
% 0.21/0.47 **** run 5 fork 4 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.21/0.47
% 0.21/0.47 **** run 6 fork 5 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.21/0.47
% 0.21/0.47 **** run 7 fork 6 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.21/0.49
% 0.21/0.49 **** run 8 fork 7 starts with strategy
% 0.21/0.49 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.21/0.55
% 0.21/0.55
% 0.21/0.55 result: proof found
% 0.21/0.55 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.21/0.55 by run 3 fork 2 strategy {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.21/0.55 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.21/0.55
% 0.21/0.55 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.21/0.55 fof('ave07_era5_synth_qa07_007_mira_news_1223_$sk', plain, (varia(beteiligung_1_1,varia_c) & (refer(beteiligung_1_1,refer_c) & (quant(beteiligung_1_1,one) & (gener(beteiligung_1_1,ge) & (fact(beteiligung_1_1,real) & (etype(beteiligung_1_1,int0) & (card(beteiligung_1_1,int1) & (sort(beteiligung_1_1,ad) & (sort(kapital_2_1,nq) & (varia(kapitalbeteiligung_1_1,varia_c) & (refer(kapitalbeteiligung_1_1,refer_c) & (quant(kapitalbeteiligung_1_1,one) & (gener(kapitalbeteiligung_1_1,ge) & (fact(kapitalbeteiligung_1_1,real) & (etype(kapitalbeteiligung_1_1,int0) & (card(kapitalbeteiligung_1_1,int1) & (sort(kapitalbeteiligung_1_1,ad) & (gener(ausschlie__337en_1_1,ge) & (fact(ausschlie__337en_1_1,real) & (sort(ausschlie__337en_1_1,dn) & (varia(c6,varia_c) & (refer(c6,indet) & (quant(c6,one) & (gener(c6,sp) & (fact(c6,real) & (etype(c6,int0) & (card(c6,int1) & (sort(c6,ad) & (gener(c458,sp) & (fact(c458,real) & (sort(c458,dn) & (sort(die_vorhersehbare_zukunft_0,fe) & (varia(beid_2_1,varia_c) & (refer(beid_2_1,refer_c) & (quant(beid_2_1,both) & (gener(beid_2_1,gener_c) & (fact(beid_2_1,real) & (etype(beid_2_1,int1) & (card(beid_2_1,int2) & (sort(beid_2_1,o) & (varia(c452,varia_c) & (refer(c452,refer_c) & (quant(c452,one) & (gener(c452,sp) & (fact(c452,real) & (etype(c452,int0) & (card(c452,int1) & (sort(c452,o) & (varia(c441,varia_c) & (refer(c441,indet) & (quant(c441,both) & (gener(c441,sp) & (fact(c441,real) & (etype(c441,int3) & (etype(c441,int2) & (etype(c441,int1) & (card(c441,int2) & (sort(c441,o) & (sort(britisch__1_1,nq) & (varia(c434,con) & (refer(c434,det) & (quant(c434,one) & (gener(c434,sp) & (fact(c434,real) & (etype(c434,int0) & (card(c434,int1) & (sort(c434,io) & (sort(c434,d) & (sort(bmw_0,fe) & (varia(name_1_1,varia_c) & (refer(name_1_1,refer_c) & (quant(name_1_1,one) & (gener(name_1_1,ge) & (fact(name_1_1,real) & (etype(name_1_1,int0) & (card(name_1_1,int1) & (sort(name_1_1,na) & (varia(c429,varia_c) & (refer(c429,indet) & (quant(c429,one) & (gener(c429,sp) & (fact(c429,real) & (etype(c429,int0) & (card(c429,int1) & (sort(c429,na) & (varia(c428,con) & (refer(c428,det) & (quant(c428,one) & (gener(c428,sp) & (fact(c428,real) & (etype(c428,int0) & (card(c428,int1) & (sort(c428,io) & (sort(c428,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(auto__1_1,varia_c) & (refer(auto__1_1,refer_c) & (quant(auto__1_1,one) & (gener(auto__1_1,ge) & (fact(auto__1_1,real) & (etype(auto__1_1,int0) & (card(auto__1_1,int1) & (sort(auto__1_1,d) & (varia(autofirma_1_1,varia_c) & (refer(autofirma_1_1,refer_c) & (quant(autofirma_1_1,one) & (gener(autofirma_1_1,ge) & (fact(autofirma_1_1,real) & (etype(autofirma_1_1,int0) & (card(autofirma_1_1,int1) & (sort(autofirma_1_1,io) & (sort(autofirma_1_1,d) & (subs(kapitalbeteiligung_1_1,beteiligung_1_1) & (assoc(kapitalbeteiligung_1_1,kapital_2_1) & (subs(c6,kapitalbeteiligung_1_1) & (obj(c6,c434) & (agt(c6,c428) & (subs(c458,ausschlie__337en_1_1) & (obj(c458,c6) & (exp(c458,c441) & (name(c452,die_vorhersehbare_zukunft_0) & (pred(c441,beid_2_1) & (benf(c441,c452) & (sub(c434,autofirma_1_1) & (prop(c434,britisch__1_1) & (val(c429,bmw_0) & (sub(c429,name_1_1) & (sub(c428,firma_1_1) & (attr(c428,c429) & (sub(autofirma_1_1,firma_1_1) & assoc(autofirma_1_1,auto__1_1))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.21/0.55 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1223'])).
% 0.21/0.55 fof('ave07_era5_synth_qa07_007_mira_news_1223', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((assoc(autofirma_1_1,auto__1_1) & sub(autofirma_1_1,firma_1_1)) & attr(c428,c429)) & sub(c428,firma_1_1)) & sub(c429,name_1_1)) & val(c429,bmw_0)) & prop(c434,britisch__1_1)) & sub(c434,autofirma_1_1)) & benf(c441,c452)) & pred(c441,beid_2_1)) & name(c452,die_vorhersehbare_zukunft_0)) & exp(c458,c441)) & obj(c458,c6)) & subs(c458,ausschlie__337en_1_1)) & agt(c6,c428)) & obj(c6,c434)) & subs(c6,kapitalbeteiligung_1_1)) & assoc(kapitalbeteiligung_1_1,kapital_2_1)) & subs(kapitalbeteiligung_1_1,beteiligung_1_1)) & sort(autofirma_1_1,d)) & sort(autofirma_1_1,io)) & card(autofirma_1_1,int1)) & etype(autofirma_1_1,int0)) & fact(autofirma_1_1,real)) & gener(autofirma_1_1,ge)) & quant(autofirma_1_1,one)) & refer(autofirma_1_1,refer_c)) & varia(autofirma_1_1,varia_c)) & sort(auto__1_1,d)) & card(auto__1_1,int1)) & etype(auto__1_1,int0)) & fact(auto__1_1,real)) & gener(auto__1_1,ge)) & quant(auto__1_1,one)) & refer(auto__1_1,refer_c)) & varia(auto__1_1,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(c428,d)) & sort(c428,io)) & card(c428,int1)) & etype(c428,int0)) & fact(c428,real)) & gener(c428,sp)) & quant(c428,one)) & refer(c428,det)) & varia(c428,con)) & sort(c429,na)) & card(c429,int1)) & etype(c429,int0)) & fact(c429,real)) & gener(c429,sp)) & quant(c429,one)) & refer(c429,indet)) & varia(c429,varia_c)) & sort(name_1_1,na)) & card(name_1_1,int1)) & etype(name_1_1,int0)) & fact(name_1_1,real)) & gener(name_1_1,ge)) & quant(name_1_1,one)) & refer(name_1_1,refer_c)) & varia(name_1_1,varia_c)) & sort(bmw_0,fe)) & sort(c434,d)) & sort(c434,io)) & card(c434,int1)) & etype(c434,int0)) & fact(c434,real)) & gener(c434,sp)) & quant(c434,one)) & refer(c434,det)) & varia(c434,con)) & sort(britisch__1_1,nq)) & sort(c441,o)) & card(c441,int2)) & etype(c441,int1)) & etype(c441,int2)) & etype(c441,int3)) & fact(c441,real)) & gener(c441,sp)) & quant(c441,both)) & refer(c441,indet)) & varia(c441,varia_c)) & sort(c452,o)) & card(c452,int1)) & etype(c452,int0)) & fact(c452,real)) & gener(c452,sp)) & quant(c452,one)) & refer(c452,refer_c)) & varia(c452,varia_c)) & sort(beid_2_1,o)) & card(beid_2_1,int2)) & etype(beid_2_1,int1)) & fact(beid_2_1,real)) & gener(beid_2_1,gener_c)) & quant(beid_2_1,both)) & refer(beid_2_1,refer_c)) & varia(beid_2_1,varia_c)) & sort(die_vorhersehbare_zukunft_0,fe)) & sort(c458,dn)) & fact(c458,real)) & gener(c458,sp)) & sort(c6,ad)) & card(c6,int1)) & etype(c6,int0)) & fact(c6,real)) & gener(c6,sp)) & quant(c6,one)) & refer(c6,indet)) & varia(c6,varia_c)) & sort(ausschlie__337en_1_1,dn)) & fact(ausschlie__337en_1_1,real)) & gener(ausschlie__337en_1_1,ge)) & sort(kapitalbeteiligung_1_1,ad)) & card(kapitalbeteiligung_1_1,int1)) & etype(kapitalbeteiligung_1_1,int0)) & fact(kapitalbeteiligung_1_1,real)) & gener(kapitalbeteiligung_1_1,ge)) & quant(kapitalbeteiligung_1_1,one)) & refer(kapitalbeteiligung_1_1,refer_c)) & varia(kapitalbeteiligung_1_1,varia_c)) & sort(kapital_2_1,nq)) & sort(beteiligung_1_1,ad)) & card(beteiligung_1_1,int1)) & etype(beteiligung_1_1,int0)) & fact(beteiligung_1_1,real)) & gener(beteiligung_1_1,ge)) & quant(beteiligung_1_1,one)) & refer(beteiligung_1_1,refer_c)) & varia(beteiligung_1_1,varia_c)),
% 0.21/0.55 input).
% 0.21/0.55 fof('synth_qa07_007_mira_news_1223_$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) | (~attr(X3,X4) | (~attr(X6,X7) | (~attr(X2,X1) | ~agt(X5,X6))))))))),
% 0.21/0.55 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1223'])).
% 0.21/0.55 fof('synth_qa07_007_mira_news_1223', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : ((((((((agt(X4,X3) & attr(X0,X1)) & attr(X3,X2)) & attr(X5,X6)) & sub(X1,name_1_1)) & sub(X0,firma_1_1)) & sub(X2,name_1_1)) & val(X1,bmw_0)) & val(X2,bmw_0))),
% 0.21/0.55 input).
% 0.21/0.55 cnf('1', plain, (sub(c428,firma_1_1)),
% 0.21/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1223_$sk'])).
% 0.21/0.55 cnf('2', plain, (val(c429,bmw_0)),
% 0.21/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1223_$sk'])).
% 0.21/0.55 cnf('3', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(U,V) | ~attr(W,X) | ~agt(X2006,Z) | ~sub(W,firma_1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 0.21/0.55 inference(cnf_transformation,[],['synth_qa07_007_mira_news_1223_$sk'])).
% 0.21/0.55 cnf('4', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,U) | ~attr(V,X) | ~agt(W,V) | ~sub(Y,firma_1_1) | ~sub(X,name_1_1)),
% 0.21/0.55 inference(factorization,[],['3'])).
% 0.21/0.55 cnf('5', plain, (sub(c429,name_1_1)),
% 0.21/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1223_$sk'])).
% 0.21/0.55 cnf('6', plain, (~attr(X,c429) | ~attr(Y,Z) | ~attr(U,c429) | ~agt(V,X) | ~sub(U,firma_1_1)),
% 0.21/0.55 inference(resolution,[then_simplify],['2','4','5'])).
% 0.21/0.55 cnf('7', plain, (~attr(X,c429) | ~attr(Y,Z) | ~agt(U,X) | ~sub(X,firma_1_1)),
% 0.21/0.55 inference(factorization,[],['6'])).
% 0.21/0.55 cnf('8', plain, (~attr(X,c429) | ~agt(Y,X) | ~sub(X,firma_1_1)),
% 0.21/0.55 inference(factorization,[],['7'])).
% 0.21/0.55 cnf('9', plain, (attr(c428,c429)),
% 0.21/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1223_$sk'])).
% 0.21/0.55 cnf('10', plain, (agt(c6,c428)),
% 0.21/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1223_$sk'])).
% 0.21/0.55 cnf('11', plain, ($false),
% 0.21/0.55 inference(resolution,[then_simplify],['1','8','9','10'])).
% 0.21/0.55
% 0.21/0.55 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.21/0.55
% 0.21/0.55 run 3 fork 2 statistics:
% 0.21/0.55 ----------------------------------
% 0.21/0.55 this run seconds: 0.005530
% 0.21/0.55 total seconds: 0.053425
% 0.21/0.55 stat_given_used: 105
% 0.21/0.55 stat_given_used_at_endgame: 0
% 0.21/0.55 stat_given_candidates: 145
% 0.21/0.55 stat_given_candidates_at_endgame: 0
% 0.21/0.55 stat_given_candidates_h: 0
% 0.21/0.55 stat_binres_derived_cl: 322
% 0.21/0.55 stat_binres_derived_cl_h: 0
% 0.21/0.55 stat_factor_derived_cl: 11
% 0.21/0.55 stat_para_derived_cl: 0
% 0.21/0.55 stat_tautologies_discarded: 0
% 0.21/0.55 stat_forward_subsumed: 1
% 0.21/0.55 stat_derived_cut: 21
% 0.21/0.55 stat_derived_rewritten: 0
% 0.21/0.55 stat_weight_discarded_building: 0
% 0.21/0.55 stat_weight_discarded_cl: 0
% 0.21/0.55 stat_internlimit_discarded_cl: 0
% 0.21/0.55 stat_simplified: 0 simplified 0 derived 0 given
% 0.21/0.55 stat_kept_cl: 331
% 0.21/0.55 stat_built_cl: 1299
% 0.21/0.55 stat_hyperres_partial_cl: 0
% 0.21/0.55 stat_made_rewriters: 0
% 0.21/0.55 stat_backward_subsumed: 0
% 0.21/0.55 stat_propagated_subsumed: 0
% 0.21/0.55 stat_clsubs_attempted: 86
% 0.21/0.55 stat_clsubs_fact_groundunit_found: 18
% 0.21/0.55 stat_clsubs_rule_groundunit_found: 0
% 0.21/0.55 stat_clsubs_top_meta_attempted: 436
% 0.21/0.55 stat_clsubs_top_meta_failed: 350
% 0.21/0.55 stat_clsubs_top_meta_nonpref_attempted: 436
% 0.21/0.55 stat_clsubs_top_meta_nonpref_succeeded: 91
% 0.21/0.55 stat_clsubs_top_meta_pref_attempted: 91
% 0.21/0.55 stat_clsubs_top_meta_pref1_succeeded: 86
% 0.21/0.55 stat_clsubs_top_meta_pref2_succeeded: 86
% 0.21/0.55 stat_clsubs_top_meta_pref3_succeeded: 86
% 0.21/0.55 stat_clsubs_top_meta_pref_succeeded: 86
% 0.21/0.55 stat_clsubs_meta_attempted: 1062
% 0.21/0.55 stat_clsubs_meta_failed: 627
% 0.21/0.55 stat_clsubs_predsymbs_attempted: 0
% 0.21/0.55 stat_clsubs_unit_attempted: 0
% 0.21/0.55 stat_clsubs_full_attempted: 86
% 0.21/0.55 stat_forwardsubs_attempted: 333
% 0.21/0.55 stat_lit_hash_added: 718
% 0.21/0.55 stat_lit_hash_computed: 3116
% 0.21/0.55 stat_lit_hash_match_found: 41
% 0.21/0.55 stat_lit_hash_match_miss: 3546
% 0.21/0.55 stat_lit_hash_cut_ok: 22
% 0.21/0.55 stat_lit_strong_cut_ok: 1
% 0.21/0.55 stat_lit_hash_subsume_ok: 1
% 0.21/0.55 clqueue els 10000000 used 1
% 0.21/0.55 clactive els 10000000 used 485
% 0.21/0.55 clactivesubsume els 10000000 used 85
% 0.21/0.55 queue_termbuf els 200000000 used 16465
% 0.21/0.55 hyper_termbuf els 100000000 used 1
% 0.21/0.55 active_termbuf els 100000000 used 15133
% 0.21/0.55 varstack els 5000 last used 1
% 0.21/0.55 given_termbuf els 10000000 last used 1
% 0.21/0.55 simplified_termbuf els 10000000 last used 1
% 0.21/0.55 derived_termbuf els 10000000 last used 32
% 0.21/0.55 wr_mallocs: 4796
% 0.21/0.55 wr_callocs: 21
% 0.21/0.55 wr_reallocs: 67
% 0.21/0.55 wr_frees: 4
% 0.21/0.55 wr_malloc_bytes: 4162758692
% 0.21/0.55 wr_calloc_bytes: 112065536
% 0.21/0.55 wr_realloc_bytes: 665744
% 0.21/0.55 wr_realloc_freebytes: 0
% 0.21/0.55 ----------------------------------
%------------------------------------------------------------------------------