TSTP Solution File: CSR115+52 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+52 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n022.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 21:24:32 EDT 2023
% Result : Theorem 1.00s 0.66s
% Output : CNFRefutation 1.00s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.07/0.12 % Problem : CSR115+52 : TPTP v8.1.2. Released v4.0.0.
% 0.13/0.13 % Command : gkc %s
% 0.14/0.34 % Computer : n022.cluster.edu
% 0.14/0.34 % Model : x86_64 x86_64
% 0.14/0.34 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.14/0.34 % Memory : 8042.1875MB
% 0.14/0.34 % OS : Linux 3.10.0-693.el7.x86_64
% 0.14/0.34 % CPULimit : 300
% 0.14/0.34 % WCLimit : 300
% 0.14/0.34 % DateTime : Mon Aug 28 14:04:09 EDT 2023
% 0.14/0.34 % CPUTime :
% 0.20/0.47
% 0.20/0.47 input clause set summed statistics:
% 0.20/0.47 ----------------------------------
% 0.20/0.47 in_clause_count: 10542
% 0.20/0.47 in_rule_clause_count: 336
% 0.20/0.47 in_fact_clause_count: 10206
% 0.20/0.47 in_answer_clause_count: 0
% 0.20/0.47 in_ground_clause_count: 10206
% 0.20/0.47 in_unit_clause_count: 10208
% 0.20/0.47 in_horn_clause_count: 10532
% 0.20/0.47 in_pos_clause_count: 10212
% 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: 9
% 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: 147
% 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},
% 0.20/0.48 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.48 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.48 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.20/0.48 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.48 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.48 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.20/0.48
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.48 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.48 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.48 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.48 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.20/0.48 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.48 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.48 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.20/0.48
% 0.20/0.48 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.48 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.48 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.48 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.48
% 0.20/0.48 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.20/0.48
% 0.20/0.48 ]}
% 0.20/0.48
% 0.20/0.48
% 0.20/0.48 **** run 1 fork 0 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.20/0.48
% 0.20/0.48 **** run 2 fork 1 starts with strategy
% 0.20/0.48 {"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 7 fork 6 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"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}
% 0.20/0.49
% 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}
% 0.20/0.63
% 0.20/0.63
% 0.20/0.63 fork 6: search terminated without proof.
% 0.20/0.63
% 0.20/0.63 fork 5: search finished without proof.
% 0.20/0.64
% 0.20/0.64 fork 3: search finished without proof.
% 1.00/0.65
% 1.00/0.65 **** run 15 fork 6 starts with strategy
% 1.00/0.65 {"max_dseconds":1,"strategy":["query_focus","max_ground_weight"],"query_preference":1}
% 1.00/0.66
% 1.00/0.66
% 1.00/0.66 result: proof found
% 1.00/0.66 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 1.00/0.66 by run 5 fork 4 strategy {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 1.00/0.66 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 1.00/0.66
% 1.00/0.66 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 1.00/0.66 fof('ave07_era5_synth_qa07_007_mira_news_1305_$sk', plain, (sort(rover_0,fe) & (sort(britisch__1_1,nq) & (sort(altbew__344hrt_1_1,ql) & (varia(c219,varia_c) & (refer(c219,indet) & (quant(c219,one) & (gener(c219,sp) & (fact(c219,real) & (etype(c219,int0) & (card(c219,int1) & (sort(c219,na) & (sort(bmw_0,fe) & (sort(m__374nchner_1_1,gq) & (varia(c166,varia_c) & (refer(c166,indet) & (quant(c166,one) & (gener(c166,sp) & (fact(c166,real) & (etype(c166,int0) & (card(c166,int1) & (sort(c166,na) & (gener(n374bernehmen_1_1,ge) & (fact(n374bernehmen_1_1,real) & (sort(n374bernehmen_1_1,da) & (varia(c218,con) & (refer(c218,det) & (quant(c218,one) & (gener(c218,sp) & (fact(c218,real) & (etype(c218,int0) & (card(c218,int1) & (sort(c218,io) & (sort(c218,d) & (varia(c165,con) & (refer(c165,det) & (quant(c165,one) & (gener(c165,sp) & (fact(c165,real) & (etype(c165,int0) & (card(c165,int1) & (sort(c165,io) & (sort(c165,d) & (gener(c163,sp) & (fact(c163,real) & (sort(c163,da) & (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(c1,varia_c) & (refer(c1,det) & (quant(c1,one) & (gener(c1,sp) & (fact(c1,real) & (etype(c1,int0) & (card(c1,int1) & (sort(c1,na) & (varia(c0,varia_c) & (refer(c0,det) & (quant(c0,one) & (gener(c0,sp) & (fact(c0,real) & (etype(c0,int0) & (card(c0,int1) & (sort(c0,io) & (sort(c0,d) & (varia(unternehmen_1_1,varia_c) & (refer(unternehmen_1_1,refer_c) & (quant(unternehmen_1_1,one) & (gener(unternehmen_1_1,ge) & (fact(unternehmen_1_1,real) & (etype(unternehmen_1_1,int0) & (card(unternehmen_1_1,int1) & (sort(unternehmen_1_1,io) & (sort(unternehmen_1_1,d) & (varia(autounternehmen_1_1,varia_c) & (refer(autounternehmen_1_1,refer_c) & (quant(autounternehmen_1_1,one) & (gener(autounternehmen_1_1,ge) & (fact(autounternehmen_1_1,real) & (etype(autounternehmen_1_1,int0) & (card(autounternehmen_1_1,int1) & (sort(autounternehmen_1_1,io) & (sort(autounternehmen_1_1,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) & (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(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) & (assoc(m__374nchner_1_1,c0) & (val(c219,rover_0) & (sub(c219,name_1_1) & (sub(c218,autounternehmen_1_1) & (prop(c218,britisch__1_1) & (prop(c218,altbew__344hrt_1_1) & (attr(c218,c219) & (val(c166,bmw_0) & (sub(c166,name_1_1) & (sub(c165,autokonzern_1_1) & (prop(c165,m__374nchner_1_1) & (attr(c165,c166) & (subs(c163,n374bernehmen_1_1) & (obj(c163,c218) & (agt(c163,c165) & (val(c1,m__374nchen_0) & (sub(c1,name_1_1) & (sub(c0,stadt__1_1) & (attr(c0,c1) & (sub(autounternehmen_1_1,unternehmen_1_1) & (assoc(autounternehmen_1_1,auto__1_1) & (sub(autokonzern_1_1,firmengruppe_1_1) & assoc(autokonzern_1_1,auto__1_1))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 1.00/0.66 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1305'])).
% 1.00/0.66 fof('ave07_era5_synth_qa07_007_mira_news_1305', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((assoc(autokonzern_1_1,auto__1_1) & sub(autokonzern_1_1,firmengruppe_1_1)) & assoc(autounternehmen_1_1,auto__1_1)) & sub(autounternehmen_1_1,unternehmen_1_1)) & attr(c0,c1)) & sub(c0,stadt__1_1)) & sub(c1,name_1_1)) & val(c1,m__374nchen_0)) & agt(c163,c165)) & obj(c163,c218)) & subs(c163,n374bernehmen_1_1)) & attr(c165,c166)) & prop(c165,m__374nchner_1_1)) & sub(c165,autokonzern_1_1)) & sub(c166,name_1_1)) & val(c166,bmw_0)) & attr(c218,c219)) & prop(c218,altbew__344hrt_1_1)) & prop(c218,britisch__1_1)) & sub(c218,autounternehmen_1_1)) & sub(c219,name_1_1)) & val(c219,rover_0)) & assoc(m__374nchner_1_1,c0)) & 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(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(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(autounternehmen_1_1,d)) & sort(autounternehmen_1_1,io)) & card(autounternehmen_1_1,int1)) & etype(autounternehmen_1_1,int0)) & fact(autounternehmen_1_1,real)) & gener(autounternehmen_1_1,ge)) & quant(autounternehmen_1_1,one)) & refer(autounternehmen_1_1,refer_c)) & varia(autounternehmen_1_1,varia_c)) & sort(unternehmen_1_1,d)) & sort(unternehmen_1_1,io)) & card(unternehmen_1_1,int1)) & etype(unternehmen_1_1,int0)) & fact(unternehmen_1_1,real)) & gener(unternehmen_1_1,ge)) & quant(unternehmen_1_1,one)) & refer(unternehmen_1_1,refer_c)) & varia(unternehmen_1_1,varia_c)) & sort(c0,d)) & sort(c0,io)) & card(c0,int1)) & etype(c0,int0)) & fact(c0,real)) & gener(c0,sp)) & quant(c0,one)) & refer(c0,det)) & varia(c0,varia_c)) & sort(c1,na)) & card(c1,int1)) & etype(c1,int0)) & fact(c1,real)) & gener(c1,sp)) & quant(c1,one)) & refer(c1,det)) & varia(c1,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(c163,da)) & fact(c163,real)) & gener(c163,sp)) & sort(c165,d)) & sort(c165,io)) & card(c165,int1)) & etype(c165,int0)) & fact(c165,real)) & gener(c165,sp)) & quant(c165,one)) & refer(c165,det)) & varia(c165,con)) & sort(c218,d)) & sort(c218,io)) & card(c218,int1)) & etype(c218,int0)) & fact(c218,real)) & gener(c218,sp)) & quant(c218,one)) & refer(c218,det)) & varia(c218,con)) & sort(n374bernehmen_1_1,da)) & fact(n374bernehmen_1_1,real)) & gener(n374bernehmen_1_1,ge)) & sort(c166,na)) & card(c166,int1)) & etype(c166,int0)) & fact(c166,real)) & gener(c166,sp)) & quant(c166,one)) & refer(c166,indet)) & varia(c166,varia_c)) & sort(m__374nchner_1_1,gq)) & sort(bmw_0,fe)) & sort(c219,na)) & card(c219,int1)) & etype(c219,int0)) & fact(c219,real)) & gener(c219,sp)) & quant(c219,one)) & refer(c219,indet)) & varia(c219,varia_c)) & sort(altbew__344hrt_1_1,ql)) & sort(britisch__1_1,nq)) & sort(rover_0,fe)),
% 1.00/0.66 input).
% 1.00/0.66 fof('synth_qa07_007_mira_news_1305_$sk', plain, (~val(X7,bmw_0) | (~val(X1,bmw_0) | (~subs(X6,n374bernehmen_1_1) | (~sub(X7,name_1_1) | (~sub(X1,name_1_1) | (~attr(X2,X3) | (~attr(X5,X7) | (~attr(X4,X1) | ~agt(X6,X5))))))))),
% 1.00/0.66 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1305'])).
% 1.00/0.66 fof('synth_qa07_007_mira_news_1305', 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(X2,name_1_1)) & subs(X4,n374bernehmen_1_1)) & val(X1,bmw_0)) & val(X2,bmw_0))),
% 1.00/0.66 input).
% 1.00/0.66 cnf('1', plain, (attr(c165,c166)),
% 1.00/0.66 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1305_$sk'])).
% 1.00/0.66 cnf('2', plain, (val(c166,bmw_0)),
% 1.00/0.66 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1305_$sk'])).
% 1.00/0.66 cnf('3', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,X) | ~attr(U,Y) | ~attr(V,W) | ~agt(X2006,U) | ~subs(X2006,n374bernehmen_1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 1.00/0.66 inference(cnf_transformation,[],['synth_qa07_007_mira_news_1305_$sk'])).
% 1.00/0.66 cnf('4', plain, (~val(X,bmw_0) | ~attr(Y,Z) | ~attr(U,X) | ~agt(V,U) | ~subs(V,n374bernehmen_1_1) | ~sub(X,name_1_1)),
% 1.00/0.66 inference(factorization,[],['3'])).
% 1.00/0.66 cnf('5', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~agt(Z,Y) | ~subs(Z,n374bernehmen_1_1) | ~sub(X,name_1_1)),
% 1.00/0.66 inference(factorization,[],['4'])).
% 1.00/0.66 cnf('6', plain, (sub(c166,name_1_1)),
% 1.00/0.66 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1305_$sk'])).
% 1.00/0.66 cnf('7', plain, (~attr(X,c166) | ~agt(Y,X) | ~subs(Y,n374bernehmen_1_1)),
% 1.00/0.66 inference(resolution,[then_simplify],['2','5','6'])).
% 1.00/0.66 cnf('8', plain, (~agt(X,c165) | ~subs(X,n374bernehmen_1_1)),
% 1.00/0.66 inference(resolution,[],['1','7'])).
% 1.00/0.66 cnf('9', plain, (agt(c163,c165)),
% 1.00/0.66 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1305_$sk'])).
% 1.00/0.66 cnf('10', plain, (subs(c163,n374bernehmen_1_1)),
% 1.00/0.66 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1305_$sk'])).
% 1.00/0.66 cnf('11', plain, ($false),
% 1.00/0.66 inference(resolution,[then_simplify],['8','9','10'])).
% 1.00/0.66
% 1.00/0.66 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 1.00/0.66
% 1.00/0.66 run 5 fork 4 statistics:
% 1.00/0.66 ----------------------------------
% 1.00/0.66 this run seconds: 0.011883
% 1.00/0.66 total seconds: 0.059515
% 1.00/0.66 stat_given_used: 221
% 1.00/0.66 stat_given_used_at_endgame: 0
% 1.00/0.66 stat_given_candidates: 279
% 1.00/0.66 stat_given_candidates_at_endgame: 0
% 1.00/0.66 stat_given_candidates_h: 0
% 1.00/0.66 stat_binres_derived_cl: 75
% 1.00/0.66 stat_binres_derived_cl_h: 0
% 1.00/0.66 stat_factor_derived_cl: 6
% 1.00/0.66 stat_para_derived_cl: 0
% 1.00/0.66 stat_tautologies_discarded: 0
% 1.00/0.66 stat_forward_subsumed: 0
% 1.00/0.66 stat_derived_cut: 4
% 1.00/0.66 stat_derived_rewritten: 0
% 1.00/0.66 stat_weight_discarded_building: 0
% 1.00/0.66 stat_weight_discarded_cl: 0
% 1.00/0.66 stat_internlimit_discarded_cl: 0
% 1.00/0.66 stat_simplified: 0 simplified 0 derived 0 given
% 1.00/0.66 stat_kept_cl: 80
% 1.00/0.66 stat_built_cl: 522
% 1.00/0.66 stat_hyperres_partial_cl: 0
% 1.00/0.66 stat_made_rewriters: 0
% 1.00/0.66 stat_backward_subsumed: 0
% 1.00/0.66 stat_propagated_subsumed: 0
% 1.00/0.66 stat_clsubs_attempted: 20
% 1.00/0.66 stat_clsubs_fact_groundunit_found: 42
% 1.00/0.66 stat_clsubs_rule_groundunit_found: 0
% 1.00/0.66 stat_clsubs_top_meta_attempted: 1028
% 1.00/0.66 stat_clsubs_top_meta_failed: 1008
% 1.00/0.66 stat_clsubs_top_meta_nonpref_attempted: 1028
% 1.00/0.66 stat_clsubs_top_meta_nonpref_succeeded: 129
% 1.00/0.66 stat_clsubs_top_meta_pref_attempted: 129
% 1.00/0.66 stat_clsubs_top_meta_pref1_succeeded: 20
% 1.00/0.66 stat_clsubs_top_meta_pref2_succeeded: 20
% 1.00/0.66 stat_clsubs_top_meta_pref3_succeeded: 20
% 1.00/0.66 stat_clsubs_top_meta_pref_succeeded: 20
% 1.00/0.66 stat_clsubs_meta_attempted: 151
% 1.00/0.66 stat_clsubs_meta_failed: 54
% 1.00/0.66 stat_clsubs_predsymbs_attempted: 0
% 1.00/0.66 stat_clsubs_unit_attempted: 2
% 1.00/0.66 stat_clsubs_full_attempted: 18
% 1.00/0.66 stat_forwardsubs_attempted: 81
% 1.00/0.66 stat_lit_hash_added: 589
% 1.00/0.66 stat_lit_hash_computed: 1293
% 1.00/0.66 stat_lit_hash_match_found: 46
% 1.00/0.66 stat_lit_hash_match_miss: 942
% 1.00/0.66 stat_lit_hash_cut_ok: 4
% 1.00/0.66 stat_lit_strong_cut_ok: 0
% 1.00/0.66 stat_lit_hash_subsume_ok: 0
% 1.00/0.66 clqueue els 10000000 used 1
% 1.00/0.66 clactive els 10000000 used 222
% 1.00/0.66 clactivesubsume els 10000000 used 115
% 1.00/0.66 queue_termbuf els 200000000 used 2227
% 1.00/0.66 hyper_termbuf els 100000000 used 1
% 1.00/0.66 active_termbuf els 100000000 used 2026
% 1.00/0.66 varstack els 5000 last used 1
% 1.00/0.66 given_termbuf els 10000000 last used 1
% 1.00/0.66 simplified_termbuf els 10000000 last used 1
% 1.00/0.66 derived_termbuf els 10000000 last used 22
% 1.00/0.66 wr_mallocs: 3260
% 1.00/0.66 wr_callocs: 21
% 1.00/0.66 wr_reallocs: 48
% 1.00/0.66 wr_frees: 4
% 1.00/0.66 wr_malloc_bytes: 4162708884
% 1.00/0.66 wr_calloc_bytes: 112065536
% 1.00/0.66 wr_realloc_bytes: 665248
% 1.00/0.66 wr_realloc_freebytes: 0
% 1.00/0.66 ----------------------------------
%------------------------------------------------------------------------------