TSTP Solution File: CSR115+41 by GKC---0.8

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : GKC---0.8
% Problem  : CSR115+41 : TPTP v8.1.2. Released v4.0.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : gkc %s

% Computer : n026.cluster.edu
% Model    : x86_64 x86_64
% CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory   : 8042.1875MB
% OS       : Linux 3.10.0-693.el7.x86_64
% CPULimit : 300s
% WCLimit  : 300s
% DateTime : Wed Aug 30 21:24:28 EDT 2023

% Result   : Theorem 0.19s 0.60s
% Output   : CNFRefutation 0.19s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12  % Problem  : CSR115+41 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.13  % Command  : gkc %s
% 0.17/0.34  % Computer : n026.cluster.edu
% 0.17/0.34  % Model    : x86_64 x86_64
% 0.17/0.34  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.17/0.34  % Memory   : 8042.1875MB
% 0.17/0.34  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.17/0.34  % CPULimit : 300
% 0.17/0.34  % WCLimit  : 300
% 0.17/0.34  % DateTime : Mon Aug 28 13:46:19 EDT 2023
% 0.17/0.35  % CPUTime  : 
% 0.19/0.49  
% 0.19/0.49  input clause set summed statistics:
% 0.19/0.49  ----------------------------------
% 0.19/0.49  in_clause_count:                 10583
% 0.19/0.49  in_rule_clause_count:              336
% 0.19/0.49  in_fact_clause_count:            10247
% 0.19/0.49  in_answer_clause_count:              0
% 0.19/0.49  in_ground_clause_count:          10247
% 0.19/0.49  in_unit_clause_count:            10249
% 0.19/0.49  in_horn_clause_count:            10573
% 0.19/0.49  in_pos_clause_count:             10253
% 0.19/0.49  in_neg_clause_count:                11
% 0.19/0.49  in_poseq_clause_count:               0
% 0.19/0.49  in_negeq_clause_count:               0
% 0.19/0.49  in_unitposeq_clause_count:           0
% 0.19/0.49  in_chain_clause_count:               0
% 0.19/0.49  in_min_length:             1
% 0.19/0.49  in_max_length:             9
% 0.19/0.49  in_min_depth:              1
% 0.19/0.49  in_max_depth:              5
% 0.19/0.49  in_min_size:               3
% 0.19/0.49  in_max_size:              30
% 0.19/0.49  in_min_vars:               0
% 0.19/0.49  in_max_vars:               7
% 0.19/0.49  in_extaxiom_count:             10394
% 0.19/0.49  in_axiom_count:                    0
% 0.19/0.49  in_assumption_count:             188
% 0.19/0.49  in_goal_count:                     1
% 0.19/0.49  in_neg_goal_count:                 1
% 0.19/0.49  in_pos_goal_count:                 0
% 0.19/0.49  in_posunit_goal_count:             0
% 0.19/0.49  
% 0.19/0.49  auto guide:
% 0.19/0.49  -----------
% 0.19/0.49  {
% 0.19/0.49  "print":1,
% 0.19/0.49  "print_level": 15,
% 0.19/0.49  "max_size": 0,
% 0.19/0.49  "max_depth": 0,
% 0.19/0.49  "max_length": 0,
% 0.19/0.49  "max_dseconds": 0,
% 0.19/0.49  "equality":0,
% 0.19/0.49  "runs":[
% 0.19/0.49  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.49  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.49  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.49  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.19/0.49  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.19/0.49  {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.19/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.19/0.49  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.19/0.49  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.19/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.19/0.49  {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.19/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.19/0.49  {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.19/0.49  {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.19/0.49  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.19/0.49  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.19/0.49  {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.19/0.49  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.19/0.49  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.19/0.49  {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.49  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.19/0.49  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.19/0.49  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.19/0.49  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.19/0.49  
% 0.19/0.49  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.49  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.49  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.49  {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.19/0.49  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.19/0.49  {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.19/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.19/0.49  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.19/0.49  {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.19/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.19/0.49  {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.19/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.19/0.49  {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.19/0.49  {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.19/0.49  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.19/0.49  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.19/0.49  {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.19/0.49  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.19/0.49  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.19/0.49  {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.49  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.19/0.49  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.19/0.49  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.19/0.49  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.19/0.49  
% 0.19/0.49  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.49  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.49  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.49  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.49  {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.19/0.49  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.19/0.49  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.19/0.49  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.19/0.49  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.19/0.49  {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.19/0.49  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.19/0.49  {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.19/0.49  {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.19/0.49  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.19/0.49  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.19/0.49  {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.19/0.49  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.19/0.49  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.19/0.49  {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.49  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.19/0.49  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.49  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.49  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.19/0.49  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.19/0.49  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.19/0.49  
% 0.19/0.49  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.49  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.49  {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.49  {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.49  {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.19/0.49  
% 0.19/0.49  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.49  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.49  {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.49  {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.49  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.49  {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2} 
% 0.19/0.49  
% 0.19/0.49  ]}
% 0.19/0.49  
% 0.19/0.50  
% 0.19/0.50  **** run 1 fork 0 starts with strategy
% 0.19/0.50  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.19/0.50  
% 0.19/0.50  **** run 2 fork 1 starts with strategy
% 0.19/0.50  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.19/0.50  
% 0.19/0.50  **** run 3 fork 2 starts with strategy
% 0.19/0.50  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.19/0.50  
% 0.19/0.50  **** run 4 fork 3 starts with strategy
% 0.19/0.50  {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.19/0.50  
% 0.19/0.50  **** run 5 fork 4 starts with strategy
% 0.19/0.50  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.19/0.50  
% 0.19/0.50  **** run 6 fork 5 starts with strategy
% 0.19/0.50  {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.19/0.50  
% 0.19/0.50  **** run 7 fork 6 starts with strategy
% 0.19/0.50  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.19/0.51  
% 0.19/0.51  **** run 8 fork 7 starts with strategy
% 0.19/0.51  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.19/0.60  
% 0.19/0.60  
% 0.19/0.60  result: proof found
% 0.19/0.60  for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.19/0.60  by run 2 fork 1 strategy {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.19/0.60  % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.19/0.60  
% 0.19/0.60  % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.19/0.60  fof('ave07_era5_synth_qa07_007_mira_news_1245_$sk', plain, (varia(c299,varia_c) & (refer(c299,refer_c) & (quant(c299,quant_c) & (gener(c299,gener_c) & (fact(c299,real) & (etype(c299,etype_c) & (card(c299,card_c) & (sort(c299,ent) & (sort(carweek_0,fe) & (sort(britisch__1_1,nq) & (varia(c187,varia_c) & (refer(c187,indet) & (quant(c187,one) & (gener(c187,sp) & (fact(c187,real) & (etype(c187,int0) & (card(c187,int1) & (sort(c187,na) & (varia(c181,con) & (refer(c181,det) & (quant(c181,one) & (gener(c181,sp) & (fact(c181,real) & (etype(c181,int0) & (card(c181,int1) & (sort(c181,io) & (sort(c181,d) & (varia(c177,varia_c) & (refer(c177,refer_c) & (quant(c177,quant_c) & (gener(c177,gener_c) & (fact(c177,real) & (etype(c177,int2) & (etype(c177,int1) & (card(c177,card_c) & (sort(c177,o) & (sort(neo_1_1,nq) & (varia(ausgabe_1_1,varia_c) & (refer(ausgabe_1_1,refer_c) & (quant(ausgabe_1_1,one) & (gener(ausgabe_1_1,ge) & (fact(ausgabe_1_1,real) & (etype(ausgabe_1_1,int0) & (card(ausgabe_1_1,int1) & (sort(ausgabe_1_1,ad) & (sort(c176,tq) & (varia(c173,con) & (refer(c173,det) & (quant(c173,one) & (gener(c173,sp) & (fact(c173,real) & (etype(c173,int0) & (card(c173,int1) & (sort(c173,ad) & (sort(pischetsrieder_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) & (sort(bernd_0,fe) & (varia(eigenname_1_1,varia_c) & (refer(eigenname_1_1,refer_c) & (quant(eigenname_1_1,one) & (gener(eigenname_1_1,ge) & (fact(eigenname_1_1,real) & (etype(eigenname_1_1,int0) & (card(eigenname_1_1,int1) & (sort(eigenname_1_1,na) & (varia(an_f__374hrer_1_1,varia_c) & (refer(an_f__374hrer_1_1,refer_c) & (quant(an_f__374hrer_1_1,one) & (gener(an_f__374hrer_1_1,ge) & (fact(an_f__374hrer_1_1,real) & (etype(an_f__374hrer_1_1,int0) & (card(an_f__374hrer_1_1,int1) & (sort(an_f__374hrer_1_1,d) & (varia(c166,varia_c) & (refer(c166,det) & (quant(c166,one) & (gener(c166,sp) & (fact(c166,real) & (etype(c166,int0) & (card(c166,int1) & (sort(c166,na) & (varia(c165,varia_c) & (refer(c165,indet) & (quant(c165,one) & (gener(c165,sp) & (fact(c165,real) & (etype(c165,int0) & (card(c165,int1) & (sort(c165,na) & (varia(c164,varia_c) & (refer(c164,det) & (quant(c164,one) & (gener(c164,sp) & (fact(c164,real) & (etype(c164,int0) & (card(c164,int1) & (sort(c164,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(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(c158,varia_c) & (refer(c158,indet) & (quant(c158,one) & (gener(c158,sp) & (fact(c158,real) & (etype(c158,int0) & (card(c158,int1) & (sort(c158,na) & (varia(c157,con) & (refer(c157,det) & (quant(c157,one) & (gener(c157,sp) & (fact(c157,real) & (etype(c157,int0) & (card(c157,int1) & (sort(c157,io) & (sort(c157,d) & (varia(journal_1_1,varia_c) & (refer(journal_1_1,refer_c) & (quant(journal_1_1,one) & (gener(journal_1_1,ge) & (fact(journal_1_1,real) & (etype(journal_1_1,int0) & (card(journal_1_1,int1) & (sort(journal_1_1,io) & (sort(journal_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(autojournal_1_1,varia_c) & (refer(autojournal_1_1,refer_c) & (quant(autojournal_1_1,one) & (gener(autojournal_1_1,ge) & (fact(autojournal_1_1,real) & (etype(autojournal_1_1,int0) & (card(autojournal_1_1,int1) & (sort(autojournal_1_1,io) & (sort(autojournal_1_1,d) & (tupl_p5(c299,c157,c164,c173,c176) & (val(c187,carweek_0) & (sub(c187,name_1_1) & (sub(c181,autojournal_1_1) & (prop(c181,britisch__1_1) & (attr(c181,c187) & (attch(c181,c173) & (supl(c176,neo_1_1,c177) & (subs(c173,ausgabe_1_1) & (prop(c173,c176) & (val(c166,pischetsrieder_0) & (sub(c166,familiename_1_1) & (val(c165,bernd_0) & (sub(c165,eigenname_1_1) & (sub(c164,an_f__374hrer_1_1) & (attr(c164,c166) & (attr(c164,c165) & (val(c158,bmw_0) & (sub(c158,name_1_1) & (sub(c157,firma_1_1) & (attr(c157,c158) & (sub(autojournal_1_1,journal_1_1) & assoc(autojournal_1_1,auto__1_1)))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.19/0.60    inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1245'])).
% 0.19/0.60  fof('ave07_era5_synth_qa07_007_mira_news_1245', hypothesis, (((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((assoc(autojournal_1_1,auto__1_1) & sub(autojournal_1_1,journal_1_1)) & attr(c157,c158)) & sub(c157,firma_1_1)) & sub(c158,name_1_1)) & val(c158,bmw_0)) & attr(c164,c165)) & attr(c164,c166)) & sub(c164,an_f__374hrer_1_1)) & sub(c165,eigenname_1_1)) & val(c165,bernd_0)) & sub(c166,familiename_1_1)) & val(c166,pischetsrieder_0)) & prop(c173,c176)) & subs(c173,ausgabe_1_1)) & supl(c176,neo_1_1,c177)) & attch(c181,c173)) & attr(c181,c187)) & prop(c181,britisch__1_1)) & sub(c181,autojournal_1_1)) & sub(c187,name_1_1)) & val(c187,carweek_0)) & tupl_p5(c299,c157,c164,c173,c176)) & sort(autojournal_1_1,d)) & sort(autojournal_1_1,io)) & card(autojournal_1_1,int1)) & etype(autojournal_1_1,int0)) & fact(autojournal_1_1,real)) & gener(autojournal_1_1,ge)) & quant(autojournal_1_1,one)) & refer(autojournal_1_1,refer_c)) & varia(autojournal_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(journal_1_1,d)) & sort(journal_1_1,io)) & card(journal_1_1,int1)) & etype(journal_1_1,int0)) & fact(journal_1_1,real)) & gener(journal_1_1,ge)) & quant(journal_1_1,one)) & refer(journal_1_1,refer_c)) & varia(journal_1_1,varia_c)) & sort(c157,d)) & sort(c157,io)) & card(c157,int1)) & etype(c157,int0)) & fact(c157,real)) & gener(c157,sp)) & quant(c157,one)) & refer(c157,det)) & varia(c157,con)) & sort(c158,na)) & card(c158,int1)) & etype(c158,int0)) & fact(c158,real)) & gener(c158,sp)) & quant(c158,one)) & refer(c158,indet)) & varia(c158,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(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(c164,d)) & card(c164,int1)) & etype(c164,int0)) & fact(c164,real)) & gener(c164,sp)) & quant(c164,one)) & refer(c164,det)) & varia(c164,varia_c)) & sort(c165,na)) & card(c165,int1)) & etype(c165,int0)) & fact(c165,real)) & gener(c165,sp)) & quant(c165,one)) & refer(c165,indet)) & varia(c165,varia_c)) & sort(c166,na)) & card(c166,int1)) & etype(c166,int0)) & fact(c166,real)) & gener(c166,sp)) & quant(c166,one)) & refer(c166,det)) & varia(c166,varia_c)) & sort(an_f__374hrer_1_1,d)) & card(an_f__374hrer_1_1,int1)) & etype(an_f__374hrer_1_1,int0)) & fact(an_f__374hrer_1_1,real)) & gener(an_f__374hrer_1_1,ge)) & quant(an_f__374hrer_1_1,one)) & refer(an_f__374hrer_1_1,refer_c)) & varia(an_f__374hrer_1_1,varia_c)) & sort(eigenname_1_1,na)) & card(eigenname_1_1,int1)) & etype(eigenname_1_1,int0)) & fact(eigenname_1_1,real)) & gener(eigenname_1_1,ge)) & quant(eigenname_1_1,one)) & refer(eigenname_1_1,refer_c)) & varia(eigenname_1_1,varia_c)) & sort(bernd_0,fe)) & 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(pischetsrieder_0,fe)) & sort(c173,ad)) & card(c173,int1)) & etype(c173,int0)) & fact(c173,real)) & gener(c173,sp)) & quant(c173,one)) & refer(c173,det)) & varia(c173,con)) & sort(c176,tq)) & sort(ausgabe_1_1,ad)) & card(ausgabe_1_1,int1)) & etype(ausgabe_1_1,int0)) & fact(ausgabe_1_1,real)) & gener(ausgabe_1_1,ge)) & quant(ausgabe_1_1,one)) & refer(ausgabe_1_1,refer_c)) & varia(ausgabe_1_1,varia_c)) & sort(neo_1_1,nq)) & sort(c177,o)) & card(c177,card_c)) & etype(c177,int1)) & etype(c177,int2)) & fact(c177,real)) & gener(c177,gener_c)) & quant(c177,quant_c)) & refer(c177,refer_c)) & varia(c177,varia_c)) & sort(c181,d)) & sort(c181,io)) & card(c181,int1)) & etype(c181,int0)) & fact(c181,real)) & gener(c181,sp)) & quant(c181,one)) & refer(c181,det)) & varia(c181,con)) & sort(c187,na)) & card(c187,int1)) & etype(c187,int0)) & fact(c187,real)) & gener(c187,sp)) & quant(c187,one)) & refer(c187,indet)) & varia(c187,varia_c)) & sort(britisch__1_1,nq)) & sort(carweek_0,fe)) & sort(c299,ent)) & card(c299,card_c)) & etype(c299,etype_c)) & fact(c299,real)) & gener(c299,gener_c)) & quant(c299,quant_c)) & refer(c299,refer_c)) & varia(c299,varia_c)),
% 0.19/0.60    input). 
% 0.19/0.60  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)),
% 0.19/0.60    inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.19/0.60  fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.19/0.60    input). 
% 0.19/0.60  fof('synth_qa07_007_mira_news_1245_$sk', plain, (~val(X7,bmw_0) | (~val(X1,bmw_0) | (~sub(X7,name_1_1) | (~sub(X2,firma_1_1) | (~sub(X1,name_1_1) | (~obj(X3,X2) | (~attr(X6,X5) | (~attr(X4,X7) | ~attr(X2,X1))))))))),
% 0.19/0.60    inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1245'])).
% 0.19/0.60  fof('synth_qa07_007_mira_news_1245', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : ((((((((attr(X0,X1) & attr(X3,X2)) & attr(X5,X6)) & obj(X4,X0)) & sub(X1,name_1_1)) & sub(X0,firma_1_1)) & sub(X2,name_1_1)) & val(X1,bmw_0)) & val(X2,bmw_0))),
% 0.19/0.60    input). 
% 0.19/0.60  fof('$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($sk7(X1,X2,X3),X1)))))))) | (~subr(X2,sub_0) | (~arg2(X2,X3) | ~arg1(X2,X1)))),
% 0.19/0.60    inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.19/0.60  fof('$inc_sub__bezeichnen_1_1_als', axiom, (! [X0,X1,X2] : (((arg1(X0,X1) & arg2(X0,X2)) & subr(X0,sub_0)) => (? [X3,X4,X5] : (((((((arg1(X4,X1) & arg2(X4,X5)) & hsit(X0,X3)) & mcont(X3,X4)) & obj(X3,X1)) & sub(X5,X2)) & subr(X4,rprs_0)) & subs(X3,bezeichnen_1_1))))),
% 0.19/0.60    input). 
% 0.19/0.60  cnf('1', plain, (sub(c157,firma_1_1)),
% 0.19/0.60    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1245_$sk'])).
% 0.19/0.60  cnf('2', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.19/0.60    inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.19/0.60  cnf('3', plain, (subr($sk6(c157,firma_1_1),sub_0)),
% 0.19/0.60    inference(resolution,[],['1','2'])).
% 0.19/0.60  cnf('4', plain, (attr(c157,c158)),
% 0.19/0.60    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1245_$sk'])).
% 0.19/0.60  cnf('5', plain, (val(c158,bmw_0)),
% 0.19/0.60    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1245_$sk'])).
% 0.19/0.60  cnf('6', plain, (attr(c164,c166)),
% 0.19/0.60    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1245_$sk'])).
% 0.19/0.60  cnf('7', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(U,V) | ~attr(W,X) | ~obj(X2006,W) | ~sub(W,firma_1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 0.19/0.60    inference(cnf_transformation,[],['synth_qa07_007_mira_news_1245_$sk'])).
% 0.19/0.60  cnf('8', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,U) | ~attr(V,X) | ~obj(W,Y) | ~sub(Y,firma_1_1) | ~sub(X,name_1_1)),
% 0.19/0.60    inference(factorization,[],['7'])).
% 0.19/0.60  cnf('9', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,X) | ~obj(U,Z) | ~sub(Z,firma_1_1) | ~sub(X,name_1_1)),
% 0.19/0.60    inference(resolution,[],['6','8'])).
% 0.19/0.60  cnf('10', plain, (sub(c158,name_1_1)),
% 0.19/0.60    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1245_$sk'])).
% 0.19/0.60  cnf('11', plain, (~attr(X,c158) | ~attr(Y,c158) | ~obj(Z,X) | ~sub(X,firma_1_1)),
% 0.19/0.60    inference(resolution,[then_simplify],['5','9','10'])).
% 0.19/0.60  cnf('12', plain, (~attr(X,c158) | ~obj(Y,X) | ~sub(X,firma_1_1)),
% 0.19/0.60    inference(factorization,[],['11'])).
% 0.19/0.60  cnf('13', plain, (sub(c157,firma_1_1)),
% 0.19/0.60    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1245_$sk'])).
% 0.19/0.60  cnf('14', plain, (~obj(X,c157)),
% 0.19/0.60    inference(resolution,[then_simplify],['4','12','13'])).
% 0.19/0.60  cnf('15', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.19/0.60    inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.19/0.60  cnf('16', plain, (~subr(X,sub_0) | ~arg1(X,c157) | ~arg2(X,Y)),
% 0.19/0.60    inference(resolution,[],['14','15'])).
% 0.19/0.60  cnf('17', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.19/0.60    inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.19/0.60  cnf('18', plain, (arg1($sk6(c157,firma_1_1),c157)),
% 0.19/0.60    inference(resolution,[],['1','17'])).
% 0.19/0.60  cnf('19', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.19/0.60    inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.19/0.60  cnf('20', plain, (arg2($sk6(c157,firma_1_1),firma_1_1)),
% 0.19/0.60    inference(resolution,[],['1','19'])).
% 0.19/0.60  cnf('21', plain, ($false),
% 0.19/0.60    inference(resolution,[then_simplify],['3','16','18','20'])).
% 0.19/0.60  
% 0.19/0.60  % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.19/0.60  
% 0.19/0.60  run 2 fork 1 statistics:
% 0.19/0.60  ----------------------------------
% 0.19/0.60  this run seconds: 0.036180
% 0.19/0.60  total seconds: 0.098667
% 0.19/0.60  stat_given_used: 491
% 0.19/0.60  stat_given_used_at_endgame: 0
% 0.19/0.60  stat_given_candidates:   850
% 0.19/0.60  stat_given_candidates_at_endgame: 0
% 0.19/0.60  stat_given_candidates_h: 0
% 0.19/0.60  stat_binres_derived_cl:   1557
% 0.19/0.60  stat_binres_derived_cl_h: 0
% 0.19/0.60  stat_factor_derived_cl: 7
% 0.19/0.60  stat_para_derived_cl: 0
% 0.19/0.60  stat_tautologies_discarded: 0
% 0.19/0.60  stat_forward_subsumed: 41
% 0.19/0.60  stat_derived_cut: 152
% 0.19/0.60  stat_derived_rewritten: 0
% 0.19/0.60  stat_weight_discarded_building: 0
% 0.19/0.60  stat_weight_discarded_cl: 0
% 0.19/0.60  stat_internlimit_discarded_cl: 0
% 0.19/0.60  stat_simplified:  3 simplified 0 derived 0 given
% 0.19/0.60  stat_kept_cl: 1522
% 0.19/0.60  stat_built_cl: 23295
% 0.19/0.60  stat_hyperres_partial_cl: 0
% 0.19/0.60  stat_made_rewriters: 0
% 0.19/0.60  stat_backward_subsumed: 0
% 0.19/0.60  stat_propagated_subsumed: 0
% 0.19/0.60  stat_clsubs_attempted:                      1366
% 0.19/0.60  stat_clsubs_fact_groundunit_found:            78
% 0.19/0.60  stat_clsubs_rule_groundunit_found:             6
% 0.19/0.60  stat_clsubs_top_meta_attempted:              36097
% 0.19/0.60  stat_clsubs_top_meta_failed:                 34731
% 0.19/0.60  stat_clsubs_top_meta_nonpref_attempted:               36097
% 0.19/0.60  stat_clsubs_top_meta_nonpref_succeeded:                6567
% 0.19/0.60  stat_clsubs_top_meta_pref_attempted:                   6567
% 0.19/0.60  stat_clsubs_top_meta_pref1_succeeded:                  1976
% 0.19/0.60  stat_clsubs_top_meta_pref2_succeeded:                  1382
% 0.19/0.60  stat_clsubs_top_meta_pref3_succeeded:                  1366
% 0.19/0.60  stat_clsubs_top_meta_pref_succeeded:                   1366
% 0.19/0.60  stat_clsubs_meta_attempted:                14066
% 0.19/0.60  stat_clsubs_meta_failed:                    6829
% 0.19/0.60  stat_clsubs_predsymbs_attempted:               0
% 0.19/0.60  stat_clsubs_unit_attempted:                  183
% 0.19/0.60  stat_clsubs_full_attempted:                 1183
% 0.19/0.60  stat_forwardsubs_attempted:                 1564
% 0.19/0.60  stat_lit_hash_added:                  21913
% 0.19/0.60  stat_lit_hash_computed:               35729
% 0.19/0.60  stat_lit_hash_match_found:              296
% 0.19/0.60  stat_lit_hash_match_miss:             20008
% 0.19/0.60  stat_lit_hash_cut_ok:                   171
% 0.19/0.60  stat_lit_strong_cut_ok:                   8
% 0.19/0.60  stat_lit_hash_subsume_ok:                41
% 0.19/0.60  clqueue els 10000000 used 1
% 0.19/0.60  clactive els 10000000 used 10886
% 0.19/0.60  clactivesubsume els 10000000 used 583
% 0.19/0.60  queue_termbuf els 200000000 used 79944
% 0.19/0.60  hyper_termbuf els 100000000 used 1
% 0.19/0.60  active_termbuf els 100000000 used 92605
% 0.19/0.60  varstack els 5000 last used 1
% 0.19/0.60  given_termbuf els 10000000 last used 1
% 0.19/0.60  simplified_termbuf els 10000000 last used 1
% 0.19/0.60  derived_termbuf els 10000000 last used 46
% 0.19/0.60  wr_mallocs: 122365
% 0.19/0.60  wr_callocs: 21
% 0.19/0.60  wr_reallocs: 445
% 0.19/0.60  wr_frees: 2
% 0.19/0.60  wr_malloc_bytes: 4166839332
% 0.19/0.60  wr_calloc_bytes: 112065536
% 0.19/0.60  wr_realloc_bytes: 714680
% 0.19/0.60  wr_realloc_freebytes: 0
% 0.19/0.60  ----------------------------------
%------------------------------------------------------------------------------