TSTP Solution File: CSR115+74 by GKC---0.8

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : GKC---0.8
% Problem  : CSR115+74 : TPTP v8.1.2. Released v4.0.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : gkc %s

% Computer : n025.cluster.edu
% Model    : x86_64 x86_64
% CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory   : 8042.1875MB
% OS       : Linux 3.10.0-693.el7.x86_64
% CPULimit : 300s
% WCLimit  : 300s
% DateTime : Wed Aug 30 21:24:36 EDT 2023

% Result   : Theorem 0.21s 0.57s
% Output   : CNFRefutation 0.21s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.13  % Problem  : CSR115+74 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.14  % Command  : gkc %s
% 0.14/0.36  % Computer : n025.cluster.edu
% 0.14/0.36  % Model    : x86_64 x86_64
% 0.14/0.36  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.14/0.36  % Memory   : 8042.1875MB
% 0.14/0.36  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.14/0.36  % CPULimit : 300
% 0.14/0.36  % WCLimit  : 300
% 0.14/0.36  % DateTime : Mon Aug 28 14:32:09 EDT 2023
% 0.14/0.36  % CPUTime  : 
% 0.21/0.49  
% 0.21/0.49  input clause set summed statistics:
% 0.21/0.49  ----------------------------------
% 0.21/0.49  in_clause_count:                 10504
% 0.21/0.49  in_rule_clause_count:              338
% 0.21/0.49  in_fact_clause_count:            10166
% 0.21/0.49  in_answer_clause_count:              0
% 0.21/0.49  in_ground_clause_count:          10168
% 0.21/0.49  in_unit_clause_count:            10170
% 0.21/0.49  in_horn_clause_count:            10494
% 0.21/0.49  in_pos_clause_count:             10174
% 0.21/0.49  in_neg_clause_count:                11
% 0.21/0.49  in_poseq_clause_count:               0
% 0.21/0.49  in_negeq_clause_count:               0
% 0.21/0.49  in_unitposeq_clause_count:           0
% 0.21/0.49  in_chain_clause_count:               0
% 0.21/0.49  in_min_length:             1
% 0.21/0.49  in_max_length:             9
% 0.21/0.49  in_min_depth:              1
% 0.21/0.49  in_max_depth:              5
% 0.21/0.49  in_min_size:               3
% 0.21/0.49  in_max_size:              30
% 0.21/0.49  in_min_vars:               0
% 0.21/0.49  in_max_vars:               7
% 0.21/0.49  in_extaxiom_count:             10394
% 0.21/0.49  in_axiom_count:                    0
% 0.21/0.49  in_assumption_count:             109
% 0.21/0.49  in_goal_count:                     1
% 0.21/0.49  in_neg_goal_count:                 1
% 0.21/0.49  in_pos_goal_count:                 0
% 0.21/0.49  in_posunit_goal_count:             0
% 0.21/0.49  
% 0.21/0.49  auto guide:
% 0.21/0.49  -----------
% 0.21/0.49  {
% 0.21/0.49  "print":1,
% 0.21/0.49  "print_level": 15,
% 0.21/0.49  "max_size": 0,
% 0.21/0.49  "max_depth": 0,
% 0.21/0.49  "max_length": 0,
% 0.21/0.49  "max_dseconds": 0,
% 0.21/0.49  "equality":0,
% 0.21/0.49  "runs":[
% 0.21/0.49  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.49  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.49  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.49  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.21/0.49  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.21/0.49  {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.49  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.49  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.49  {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.21/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.49  {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.49  {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.49  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.21/0.49  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.21/0.49  {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.49  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.49  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.21/0.49  {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.49  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.49  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.49  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.49  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.21/0.49  
% 0.21/0.49  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.49  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.49  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.49  {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.21/0.49  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.21/0.49  {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.49  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.49  {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.49  {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.21/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.49  {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.49  {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.49  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.21/0.49  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.21/0.49  {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.49  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.49  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.21/0.49  {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.49  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.49  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.49  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.49  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.21/0.49  
% 0.21/0.49  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.49  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.49  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.49  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.49  {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.49  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.49  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.49  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.49  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.49  {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.21/0.49  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.49  {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.49  {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.49  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.21/0.49  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.21/0.49  {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.49  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.49  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.21/0.49  {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.49  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.49  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.49  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.49  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.49  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.49  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.21/0.49  
% 0.21/0.49  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.49  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.49  {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.49  {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.49  {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.49  
% 0.21/0.49  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.49  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.49  {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.49  {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.49  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.49  {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2} 
% 0.21/0.49  
% 0.21/0.49  ]}
% 0.21/0.49  
% 0.21/0.49  
% 0.21/0.49  **** run 1 fork 0 starts with strategy
% 0.21/0.49  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.21/0.49  
% 0.21/0.49  **** run 2 fork 1 starts with strategy
% 0.21/0.49  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.21/0.49  
% 0.21/0.49  **** run 3 fork 2 starts with strategy
% 0.21/0.49  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.21/0.49  
% 0.21/0.49  **** run 4 fork 3 starts with strategy
% 0.21/0.49  {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.21/0.49  
% 0.21/0.49  **** run 5 fork 4 starts with strategy
% 0.21/0.49  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.21/0.49  
% 0.21/0.49  **** run 6 fork 5 starts with strategy
% 0.21/0.49  {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 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}
% 0.21/0.49  
% 0.21/0.49  **** run 7 fork 6 starts with strategy
% 0.21/0.49  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.21/0.57  
% 0.21/0.57  
% 0.21/0.57  result: proof found
% 0.21/0.57  for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% 0.21/0.57  by run 1 fork 0 strategy {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.21/0.57  % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% 0.21/0.57  
% 0.21/0.57  % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% 0.21/0.57  fof('synth_qa07_007_mira_wp_484_$sk', plain, (~val(X7,bmw_0) | (~val(X1,bmw_0) | (~sub(X7,name_1_1) | (~sub(X2,firma_1_1) | (~sub(X1,name_1_1) | (~obj(X3,X2) | (~attr(X6,X5) | (~attr(X4,X7) | ~attr(X2,X1))))))))),
% 0.21/0.57    inference(negpush_and_skolemize,[],['synth_qa07_007_mira_wp_484'])).
% 0.21/0.57  fof('synth_qa07_007_mira_wp_484', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : ((((((((attr(X0,X1) & attr(X3,X2)) & attr(X5,X6)) & obj(X4,X0)) & sub(X1,name_1_1)) & sub(X0,firma_1_1)) & sub(X2,name_1_1)) & val(X1,bmw_0)) & val(X2,bmw_0))),
% 0.21/0.57    input). 
% 0.21/0.57  fof('ave07_era5_synth_qa07_007_mira_wp_484_$sk', plain, (varia(fahrzeug__1_1,varia_c) & (refer(fahrzeug__1_1,refer_c) & (quant(fahrzeug__1_1,one) & (gener(fahrzeug__1_1,ge) & (fact(fahrzeug__1_1,real) & (etype(fahrzeug__1_1,int0) & (card(fahrzeug__1_1,int1) & (sort(fahrzeug__1_1,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(c79,varia_c) & (refer(c79,indet) & (quant(c79,one) & (gener(c79,sp) & (fact(c79,real) & (etype(c79,int0) & (card(c79,int1) & (sort(c79,na) & (varia(umbau__1_1,varia_c) & (refer(umbau__1_1,refer_c) & (quant(umbau__1_1,one) & (gener(umbau__1_1,ge) & (fact(umbau__1_1,real) & (etype(umbau__1_1,int0) & (card(umbau__1_1,int1) & (sort(umbau__1_1,ad) & (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(bekanntheit_1_1,varia_c) & (refer(bekanntheit_1_1,refer_c) & (quant(bekanntheit_1_1,one) & (gener(bekanntheit_1_1,ge) & (fact(bekanntheit_1_1,real) & (etype(bekanntheit_1_1,int0) & (card(bekanntheit_1_1,int1) & (sort(bekanntheit_1_1,na) & (varia(c80,varia_c) & (refer(c80,indet) & (quant(c80,mult) & (gener(c80,gener_c) & (fact(c80,real) & (etype(c80,int1) & (card(c80,cons(x_constant,cons(int1,nil))) & (sort(c80,d) & (varia(c78,con) & (refer(c78,det) & (quant(c78,one) & (gener(c78,sp) & (fact(c78,real) & (etype(c78,int0) & (card(c78,int1) & (sort(c78,io) & (sort(c78,d) & (varia(c66,varia_c) & (refer(c66,indet) & (quant(c66,mult) & (gener(c66,gener_c) & (fact(c66,real) & (etype(c66,int1) & (card(c66,cons(x_constant,cons(int1,nil))) & (sort(c66,ad) & (varia(c62,con) & (refer(c62,det) & (quant(c62,one) & (gener(c62,sp) & (fact(c62,real) & (etype(c62,int0) & (card(c62,int1) & (sort(c62,io) & (sort(c62,d) & (varia(c56,varia_c) & (refer(c56,refer_c) & (quant(c56,one) & (gener(c56,gener_c) & (fact(c56,real) & (etype(c56,int0) & (card(c56,int1) & (sort(c56,na) & (varia(c112,varia_c) & (refer(c112,refer_c) & (quant(c112,quant_c) & (gener(c112,gener_c) & (fact(c112,real) & (etype(c112,etype_c) & (card(c112,card_c) & (sort(c112,ent) & (pred(c80,fahrzeug__1_1) & (val(c79,bmw_0) & (sub(c79,name_1_1) & (sub(c78,firma_1_1) & (attr(c78,c79) & (preds(c66,umbau__1_1) & (sub(c62,firma_1_1) & (sub(c56,bekanntheit_1_1) & tupl_p6(c112,c56,c62,c66,c78,c80))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.21/0.57    inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_wp_484'])).
% 0.21/0.57  fof('ave07_era5_synth_qa07_007_mira_wp_484', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((tupl_p6(c112,c56,c62,c66,c78,c80) & sub(c56,bekanntheit_1_1)) & sub(c62,firma_1_1)) & preds(c66,umbau__1_1)) & attr(c78,c79)) & sub(c78,firma_1_1)) & sub(c79,name_1_1)) & val(c79,bmw_0)) & pred(c80,fahrzeug__1_1)) & sort(c112,ent)) & card(c112,card_c)) & etype(c112,etype_c)) & fact(c112,real)) & gener(c112,gener_c)) & quant(c112,quant_c)) & refer(c112,refer_c)) & varia(c112,varia_c)) & sort(c56,na)) & card(c56,int1)) & etype(c56,int0)) & fact(c56,real)) & gener(c56,gener_c)) & quant(c56,one)) & refer(c56,refer_c)) & varia(c56,varia_c)) & sort(c62,d)) & sort(c62,io)) & card(c62,int1)) & etype(c62,int0)) & fact(c62,real)) & gener(c62,sp)) & quant(c62,one)) & refer(c62,det)) & varia(c62,con)) & sort(c66,ad)) & card(c66,cons(x_constant,cons(int1,nil)))) & etype(c66,int1)) & fact(c66,real)) & gener(c66,gener_c)) & quant(c66,mult)) & refer(c66,indet)) & varia(c66,varia_c)) & sort(c78,d)) & sort(c78,io)) & card(c78,int1)) & etype(c78,int0)) & fact(c78,real)) & gener(c78,sp)) & quant(c78,one)) & refer(c78,det)) & varia(c78,con)) & sort(c80,d)) & card(c80,cons(x_constant,cons(int1,nil)))) & etype(c80,int1)) & fact(c80,real)) & gener(c80,gener_c)) & quant(c80,mult)) & refer(c80,indet)) & varia(c80,varia_c)) & sort(bekanntheit_1_1,na)) & card(bekanntheit_1_1,int1)) & etype(bekanntheit_1_1,int0)) & fact(bekanntheit_1_1,real)) & gener(bekanntheit_1_1,ge)) & quant(bekanntheit_1_1,one)) & refer(bekanntheit_1_1,refer_c)) & varia(bekanntheit_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(umbau__1_1,ad)) & card(umbau__1_1,int1)) & etype(umbau__1_1,int0)) & fact(umbau__1_1,real)) & gener(umbau__1_1,ge)) & quant(umbau__1_1,one)) & refer(umbau__1_1,refer_c)) & varia(umbau__1_1,varia_c)) & sort(c79,na)) & card(c79,int1)) & etype(c79,int0)) & fact(c79,real)) & gener(c79,sp)) & quant(c79,one)) & refer(c79,indet)) & varia(c79,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(fahrzeug__1_1,d)) & card(fahrzeug__1_1,int1)) & etype(fahrzeug__1_1,int0)) & fact(fahrzeug__1_1,real)) & gener(fahrzeug__1_1,ge)) & quant(fahrzeug__1_1,one)) & refer(fahrzeug__1_1,refer_c)) & varia(fahrzeug__1_1,varia_c)),
% 0.21/0.57    input). 
% 0.21/0.57  fof('$inc_sub__sub_0_expansion_$sk', plain, ((subr($sk6(X1,X2),sub_0) & (arg2($sk6(X1,X2),X2) & arg1($sk6(X1,X2),X1))) | ~sub(X1,X2)),
% 0.21/0.57    inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.21/0.57  fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.21/0.57    input). 
% 0.21/0.57  fof('$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($sk7(X1,X2,X3),X1)))))))) | (~subr(X2,sub_0) | (~arg2(X2,X3) | ~arg1(X2,X1)))),
% 0.21/0.57    inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.21/0.57  fof('$inc_sub__bezeichnen_1_1_als', axiom, (! [X0,X1,X2] : (((arg1(X0,X1) & arg2(X0,X2)) & subr(X0,sub_0)) => (? [X3,X4,X5] : (((((((arg1(X4,X1) & arg2(X4,X5)) & hsit(X0,X3)) & mcont(X3,X4)) & obj(X3,X1)) & sub(X5,X2)) & subr(X4,rprs_0)) & subs(X3,bezeichnen_1_1))))),
% 0.21/0.57    input). 
% 0.21/0.57  cnf('1', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(U,V) | ~attr(W,X) | ~obj(X2006,W) | ~sub(W,firma_1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 0.21/0.57    inference(cnf_transformation,[],['synth_qa07_007_mira_wp_484_$sk'])).
% 0.21/0.57  cnf('2', 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)),
% 0.21/0.57    inference(factorization,[],['1'])).
% 0.21/0.57  cnf('3', plain, (val(c79,bmw_0)),
% 0.21/0.57    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_484_$sk'])).
% 0.21/0.57  cnf('4', plain, (sub(c79,name_1_1)),
% 0.21/0.57    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_484_$sk'])).
% 0.21/0.57  cnf('5', plain, (~attr(X,c79) | ~attr(Y,Z) | ~attr(U,c79) | ~obj(V,U) | ~sub(U,firma_1_1)),
% 0.21/0.57    inference(resolution,[then_simplify],['2','3','4'])).
% 0.21/0.57  cnf('6', plain, (~attr(X,c79) | ~attr(Y,Z) | ~obj(U,X) | ~sub(X,firma_1_1)),
% 0.21/0.57    inference(factorization,[],['5'])).
% 0.21/0.57  cnf('7', plain, (~attr(X,c79) | ~obj(Y,X) | ~sub(X,firma_1_1)),
% 0.21/0.57    inference(factorization,[],['6'])).
% 0.21/0.57  cnf('8', plain, (attr(c78,c79)),
% 0.21/0.57    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_484_$sk'])).
% 0.21/0.57  cnf('9', plain, (sub(c78,firma_1_1)),
% 0.21/0.57    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_484_$sk'])).
% 0.21/0.57  cnf('10', plain, (~obj(X,c78)),
% 0.21/0.57    inference(resolution,[then_simplify],['7','8','9'])).
% 0.21/0.57  cnf('11', plain, (sub(c78,firma_1_1)),
% 0.21/0.57    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_484_$sk'])).
% 0.21/0.57  cnf('12', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.21/0.57    inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.21/0.57  cnf('13', plain, (arg2($sk6(c78,firma_1_1),firma_1_1)),
% 0.21/0.57    inference(resolution,[],['11','12'])).
% 0.21/0.57  cnf('14', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.21/0.57    inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.21/0.57  cnf('15', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.21/0.57    inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.21/0.57  cnf('16', plain, (subr($sk6(c78,firma_1_1),sub_0)),
% 0.21/0.57    inference(resolution,[],['11','15'])).
% 0.21/0.57  cnf('17', plain, (obj($sk9(X,$sk6(c78,firma_1_1),firma_1_1),X) | ~arg1($sk6(c78,firma_1_1),X)),
% 0.21/0.57    inference(resolution,[then_simplify],['13','14','16'])).
% 0.21/0.57  cnf('18', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.21/0.57    inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.21/0.57  cnf('19', plain, (arg1($sk6(c78,firma_1_1),c78)),
% 0.21/0.57    inference(resolution,[],['11','18'])).
% 0.21/0.57  cnf('20', plain, ($false),
% 0.21/0.57    inference(resolution,[then_simplify],['10','17','19'])).
% 0.21/0.57  
% 0.21/0.57  % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% 0.21/0.57  
% 0.21/0.57  run 1 fork 0 statistics:
% 0.21/0.57  ----------------------------------
% 0.21/0.57  this run seconds: 0.022761
% 0.21/0.57  total seconds: 0.082609
% 0.21/0.57  stat_given_used: 622
% 0.21/0.57  stat_given_used_at_endgame: 0
% 0.21/0.57  stat_given_candidates:   751
% 0.21/0.57  stat_given_candidates_at_endgame: 0
% 0.21/0.57  stat_given_candidates_h: 0
% 0.21/0.57  stat_binres_derived_cl:   881
% 0.21/0.57  stat_binres_derived_cl_h: 0
% 0.21/0.57  stat_factor_derived_cl: 17
% 0.21/0.57  stat_para_derived_cl: 0
% 0.21/0.57  stat_tautologies_discarded: 0
% 0.21/0.57  stat_forward_subsumed: 6
% 0.21/0.57  stat_derived_cut: 93
% 0.21/0.57  stat_derived_rewritten: 0
% 0.21/0.57  stat_weight_discarded_building: 0
% 0.21/0.57  stat_weight_discarded_cl: 0
% 0.21/0.57  stat_internlimit_discarded_cl: 0
% 0.21/0.57  stat_simplified:  5 simplified 0 derived 0 given
% 0.21/0.57  stat_kept_cl: 891
% 0.21/0.57  stat_built_cl: 22928
% 0.21/0.57  stat_hyperres_partial_cl: 0
% 0.21/0.57  stat_made_rewriters: 0
% 0.21/0.57  stat_backward_subsumed: 0
% 0.21/0.57  stat_propagated_subsumed: 0
% 0.21/0.57  stat_clsubs_attempted:                       242
% 0.21/0.57  stat_clsubs_fact_groundunit_found:           117
% 0.21/0.57  stat_clsubs_rule_groundunit_found:             2
% 0.21/0.57  stat_clsubs_top_meta_attempted:              70702
% 0.21/0.57  stat_clsubs_top_meta_failed:                 70460
% 0.21/0.57  stat_clsubs_top_meta_nonpref_attempted:               70702
% 0.21/0.57  stat_clsubs_top_meta_nonpref_succeeded:               42448
% 0.21/0.57  stat_clsubs_top_meta_pref_attempted:                  42448
% 0.21/0.57  stat_clsubs_top_meta_pref1_succeeded:                  1939
% 0.21/0.57  stat_clsubs_top_meta_pref2_succeeded:                   316
% 0.21/0.57  stat_clsubs_top_meta_pref3_succeeded:                   242
% 0.21/0.57  stat_clsubs_top_meta_pref_succeeded:                    242
% 0.21/0.57  stat_clsubs_meta_attempted:                  474
% 0.21/0.57  stat_clsubs_meta_failed:                     184
% 0.21/0.57  stat_clsubs_predsymbs_attempted:               0
% 0.21/0.57  stat_clsubs_unit_attempted:                   20
% 0.21/0.57  stat_clsubs_full_attempted:                  222
% 0.21/0.57  stat_forwardsubs_attempted:                  898
% 0.21/0.57  stat_lit_hash_added:                  21296
% 0.21/0.57  stat_lit_hash_computed:               28616
% 0.21/0.57  stat_lit_hash_match_found:              221
% 0.21/0.57  stat_lit_hash_match_miss:             10616
% 0.21/0.57  stat_lit_hash_cut_ok:                    96
% 0.21/0.57  stat_lit_strong_cut_ok:                   1
% 0.21/0.57  stat_lit_hash_subsume_ok:                 6
% 0.21/0.57  clqueue els 10000000 used 1
% 0.21/0.57  clactive els 10000000 used 11017
% 0.21/0.57  clactivesubsume els 10000000 used 2215
% 0.21/0.57  queue_termbuf els 200000000 used 47176
% 0.21/0.57  hyper_termbuf els 100000000 used 1
% 0.21/0.57  active_termbuf els 100000000 used 99235
% 0.21/0.57  varstack els 5000 last used 1
% 0.21/0.57  given_termbuf els 10000000 last used 1
% 0.21/0.57  simplified_termbuf els 10000000 last used 1
% 0.21/0.57  derived_termbuf els 10000000 last used 29
% 0.21/0.57  wr_mallocs: 121866
% 0.21/0.57  wr_callocs: 21
% 0.21/0.57  wr_reallocs: 356
% 0.21/0.57  wr_frees: 2
% 0.21/0.57  wr_malloc_bytes: 4166813780
% 0.21/0.57  wr_calloc_bytes: 112065536
% 0.21/0.57  wr_realloc_bytes: 693360
% 0.21/0.57  wr_realloc_freebytes: 0
% 0.21/0.57  ----------------------------------
%------------------------------------------------------------------------------