TSTP Solution File: CSR115+56 by GKC---0.8

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : GKC---0.8
% Problem  : CSR115+56 : TPTP v8.1.2. Released v4.0.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : gkc %s

% Computer : n019.cluster.edu
% Model    : x86_64 x86_64
% CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory   : 8042.1875MB
% OS       : Linux 3.10.0-693.el7.x86_64
% CPULimit : 300s
% WCLimit  : 300s
% DateTime : Wed Aug 30 21:24:32 EDT 2023

% Result   : Theorem 0.14s 0.47s
% Output   : CNFRefutation 0.14s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.10  % Problem  : CSR115+56 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.10  % Command  : gkc %s
% 0.00/0.30  % Computer : n019.cluster.edu
% 0.00/0.30  % Model    : x86_64 x86_64
% 0.00/0.30  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.00/0.30  % Memory   : 8042.1875MB
% 0.00/0.30  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.00/0.30  % CPULimit : 300
% 0.00/0.30  % WCLimit  : 300
% 0.00/0.30  % DateTime : Mon Aug 28 08:57:58 EDT 2023
% 0.00/0.30  % CPUTime  : 
% 0.14/0.41  
% 0.14/0.41  input clause set summed statistics:
% 0.14/0.41  ----------------------------------
% 0.14/0.41  in_clause_count:                 10593
% 0.14/0.41  in_rule_clause_count:              336
% 0.14/0.41  in_fact_clause_count:            10257
% 0.14/0.41  in_answer_clause_count:              0
% 0.14/0.41  in_ground_clause_count:          10257
% 0.14/0.41  in_unit_clause_count:            10259
% 0.14/0.41  in_horn_clause_count:            10583
% 0.14/0.41  in_pos_clause_count:             10263
% 0.14/0.41  in_neg_clause_count:                11
% 0.14/0.41  in_poseq_clause_count:               0
% 0.14/0.41  in_negeq_clause_count:               0
% 0.14/0.41  in_unitposeq_clause_count:           0
% 0.14/0.41  in_chain_clause_count:               0
% 0.14/0.41  in_min_length:             1
% 0.14/0.41  in_max_length:             9
% 0.14/0.41  in_min_depth:              1
% 0.14/0.41  in_max_depth:              5
% 0.14/0.41  in_min_size:               3
% 0.14/0.41  in_max_size:              30
% 0.14/0.41  in_min_vars:               0
% 0.14/0.41  in_max_vars:               7
% 0.14/0.41  in_extaxiom_count:             10394
% 0.14/0.41  in_axiom_count:                    0
% 0.14/0.41  in_assumption_count:             198
% 0.14/0.41  in_goal_count:                     1
% 0.14/0.41  in_neg_goal_count:                 1
% 0.14/0.41  in_pos_goal_count:                 0
% 0.14/0.41  in_posunit_goal_count:             0
% 0.14/0.41  
% 0.14/0.41  auto guide:
% 0.14/0.41  -----------
% 0.14/0.41  {
% 0.14/0.41  "print":1,
% 0.14/0.41  "print_level": 15,
% 0.14/0.41  "max_size": 0,
% 0.14/0.41  "max_depth": 0,
% 0.14/0.41  "max_length": 0,
% 0.14/0.41  "max_dseconds": 0,
% 0.14/0.41  "equality":0,
% 0.14/0.41  "runs":[
% 0.14/0.41  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.14/0.41  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.14/0.41  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.14/0.41  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.14/0.41  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.14/0.41  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.14/0.41  {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.14/0.41  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.14/0.41  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.14/0.41  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.14/0.41  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.14/0.41  {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.14/0.41  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.14/0.41  {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.14/0.41  {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.14/0.41  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.14/0.41  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.14/0.41  {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.14/0.41  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.14/0.41  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.14/0.41  {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.14/0.41  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.14/0.41  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.14/0.41  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.14/0.41  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.14/0.41  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.14/0.41  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.14/0.41  
% 0.14/0.41  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.14/0.41  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.14/0.41  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.14/0.41  {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.14/0.41  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.14/0.41  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.14/0.41  {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.14/0.41  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.14/0.41  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.14/0.41  {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.14/0.41  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.14/0.41  {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.14/0.41  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.14/0.41  {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.14/0.41  {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.14/0.41  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.14/0.41  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.14/0.41  {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.14/0.41  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.14/0.41  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.14/0.41  {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.14/0.41  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.14/0.41  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.14/0.41  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.14/0.41  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.14/0.41  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.14/0.41  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.14/0.41  
% 0.14/0.41  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.14/0.41  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.14/0.41  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.14/0.41  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.14/0.41  {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.14/0.41  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.14/0.41  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.14/0.41  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.14/0.41  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.14/0.41  {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.14/0.41  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.14/0.41  {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.14/0.41  {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.14/0.41  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.14/0.41  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.14/0.41  {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.14/0.41  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.14/0.41  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.14/0.41  {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.14/0.41  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.14/0.41  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.14/0.41  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.14/0.41  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.14/0.41  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.14/0.41  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.14/0.41  
% 0.14/0.41  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.14/0.41  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.14/0.41  {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.14/0.41  {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.14/0.41  {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.14/0.41  
% 0.14/0.41  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.14/0.41  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.14/0.41  {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.14/0.41  {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.14/0.41  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.14/0.41  {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2} 
% 0.14/0.41  
% 0.14/0.41  ]}
% 0.14/0.41  
% 0.14/0.42  
% 0.14/0.42  **** run 1 fork 0 starts with strategy
% 0.14/0.42  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.14/0.42  
% 0.14/0.42  **** run 2 fork 1 starts with strategy
% 0.14/0.42  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.14/0.42  
% 0.14/0.42  **** run 3 fork 2 starts with strategy
% 0.14/0.42  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.14/0.42  
% 0.14/0.42  **** run 4 fork 3 starts with strategy
% 0.14/0.42  {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.14/0.42  
% 0.14/0.42  **** run 5 fork 4 starts with strategy
% 0.14/0.42  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.14/0.42  
% 0.14/0.42  **** run 6 fork 5 starts with strategy
% 0.14/0.42  {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.14/0.42  
% 0.14/0.42  **** run 7 fork 6 starts with strategy
% 0.14/0.42  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.14/0.42  
% 0.14/0.42  **** run 8 fork 7 starts with strategy
% 0.14/0.42  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.14/0.47  
% 0.14/0.47  
% 0.14/0.47  result: proof found
% 0.14/0.47  for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.14/0.47  by run 3 fork 2 strategy {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.14/0.47  % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.14/0.47  
% 0.14/0.47  % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.14/0.47  fof('ave07_era5_synth_qa07_007_mira_news_1314_$sk', plain, (gener(n374berraschen_1_1,ge) & (fact(n374berraschen_1_1,real) & (sort(n374berraschen_1_1,dn) & (varia(politik_1_1,varia_c) & (refer(politik_1_1,refer_c) & (quant(politik_1_1,one) & (gener(politik_1_1,ge) & (fact(politik_1_1,real) & (etype(politik_1_1,int0) & (card(politik_1_1,int1) & (sort(politik_1_1,io) & (sort(politik_1_1,ad) & (varia(absatz_1_2,varia_c) & (refer(absatz_1_2,refer_c) & (quant(absatz_1_2,one) & (gener(absatz_1_2,ge) & (fact(absatz_1_2,real) & (etype(absatz_1_2,int0) & (card(absatz_1_2,int1) & (sort(absatz_1_2,ad) & (sort(unerwartet_1_1,nq) & (gener(ausl__366sen_1_1,ge) & (fact(ausl__366sen_1_1,real) & (sort(ausl__366sen_1_1,dn) & (varia(c1092,con) & (refer(c1092,det) & (quant(c1092,one) & (gener(c1092,sp) & (fact(c1092,real) & (etype(c1092,int0) & (card(c1092,int1) & (sort(c1092,l) & (varia(c975,con) & (refer(c975,det) & (quant(c975,one) & (gener(c975,sp) & (fact(c975,real) & (etype(c975,int0) & (card(c975,int1) & (sort(c975,ad) & (gener(c1088,sp) & (fact(c1088,real) & (sort(c1088,dn) & (varia(kontroverse_1_1,varia_c) & (refer(kontroverse_1_1,refer_c) & (quant(kontroverse_1_1,one) & (gener(kontroverse_1_1,ge) & (fact(kontroverse_1_1,real) & (etype(kontroverse_1_1,int0) & (card(kontroverse_1_1,int1) & (sort(kontroverse_1_1,ad) & (sort(scharf_1_1,nq) & (sort(politisch__1_1,tq) & (varia(c1082,varia_c) & (refer(c1082,indet) & (quant(c1082,one) & (gener(c1082,sp) & (fact(c1082,real) & (etype(c1082,int0) & (card(c1082,int1) & (sort(c1082,ad) & (sort(england_0,fe) & (varia(land_1_1,varia_c) & (refer(land_1_1,refer_c) & (quant(land_1_1,one) & (gener(land_1_1,ge) & (fact(land_1_1,real) & (etype(land_1_1,int0) & (card(land_1_1,int1) & (sort(land_1_1,io) & (sort(land_1_1,d) & (varia(c1078,varia_c) & (refer(c1078,indet) & (quant(c1078,one) & (gener(c1078,sp) & (fact(c1078,real) & (etype(c1078,int0) & (card(c1078,int1) & (sort(c1078,na) & (varia(c1077,con) & (refer(c1077,det) & (quant(c1077,one) & (gener(c1077,sp) & (fact(c1077,real) & (etype(c1077,int0) & (card(c1077,int1) & (sort(c1077,io) & (sort(c1077,d) & (sort(bmw_0,fe) & (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(c1071,varia_c) & (refer(c1071,indet) & (quant(c1071,one) & (gener(c1071,sp) & (fact(c1071,real) & (etype(c1071,int0) & (card(c1071,int1) & (sort(c1071,na) & (varia(c1070,con) & (refer(c1070,det) & (quant(c1070,one) & (gener(c1070,sp) & (fact(c1070,real) & (etype(c1070,int0) & (card(c1070,int1) & (sort(c1070,io) & (sort(c1070,d) & (sort(rover_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) & (sort(britisch__1_1,nq) & (varia(c1001,varia_c) & (refer(c1001,indet) & (quant(c1001,one) & (gener(c1001,sp) & (fact(c1001,real) & (etype(c1001,int0) & (card(c1001,int1) & (sort(c1001,na) & (varia(c1000,con) & (refer(c1000,det) & (quant(c1000,one) & (gener(c1000,sp) & (fact(c1000,real) & (etype(c1000,int0) & (card(c1000,int1) & (sort(c1000,io) & (sort(c1000,d) & (varia(fabrikant_1_1,varia_c) & (refer(fabrikant_1_1,refer_c) & (quant(fabrikant_1_1,one) & (gener(fabrikant_1_1,ge) & (fact(fabrikant_1_1,real) & (etype(fabrikant_1_1,int0) & (card(fabrikant_1_1,int1) & (sort(fabrikant_1_1,io) & (sort(fabrikant_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(autobauer_1_1,varia_c) & (refer(autobauer_1_1,refer_c) & (quant(autobauer_1_1,one) & (gener(autobauer_1_1,ge) & (fact(autobauer_1_1,real) & (etype(autobauer_1_1,int0) & (card(autobauer_1_1,int1) & (sort(autobauer_1_1,io) & (sort(autobauer_1_1,d) & (chsp1(n374berraschen_1_1,unerwartet_1_1) & (assoc(politisch__1_1,politik_1_1) & (subs(c975,absatz_1_2) & (prop(c975,unerwartet_1_1) & (ornt(c975,c1070) & (obj(c975,c1000) & (cstr(c975,c1082) & (in(c1092,c1077) & (subs(c1088,ausl__366sen_1_1) & (rslt(c1088,c1082) & (loc(c1088,c1092) & (cstr(c1088,c975) & (subs(c1082,kontroverse_1_1) & (prop(c1082,scharf_1_1) & (prop(c1082,politisch__1_1) & (val(c1078,england_0) & (sub(c1078,name_1_1) & (sub(c1077,land_1_1) & (attr(c1077,c1078) & (val(c1071,bmw_0) & (sub(c1071,name_1_1) & (sub(c1070,firma_1_1) & (attr(c1070,c1071) & (val(c1001,rover_0) & (sub(c1001,name_1_1) & (sub(c1000,autobauer_1_1) & (prop(c1000,britisch__1_1) & (attr(c1000,c1001) & (sub(autobauer_1_1,fabrikant_1_1) & assoc(autobauer_1_1,auto__1_1)))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.14/0.47    inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1314'])).
% 0.14/0.47  fof('ave07_era5_synth_qa07_007_mira_news_1314', hypothesis, (((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((assoc(autobauer_1_1,auto__1_1) & sub(autobauer_1_1,fabrikant_1_1)) & attr(c1000,c1001)) & prop(c1000,britisch__1_1)) & sub(c1000,autobauer_1_1)) & sub(c1001,name_1_1)) & val(c1001,rover_0)) & attr(c1070,c1071)) & sub(c1070,firma_1_1)) & sub(c1071,name_1_1)) & val(c1071,bmw_0)) & attr(c1077,c1078)) & sub(c1077,land_1_1)) & sub(c1078,name_1_1)) & val(c1078,england_0)) & prop(c1082,politisch__1_1)) & prop(c1082,scharf_1_1)) & subs(c1082,kontroverse_1_1)) & cstr(c1088,c975)) & loc(c1088,c1092)) & rslt(c1088,c1082)) & subs(c1088,ausl__366sen_1_1)) & in(c1092,c1077)) & cstr(c975,c1082)) & obj(c975,c1000)) & ornt(c975,c1070)) & prop(c975,unerwartet_1_1)) & subs(c975,absatz_1_2)) & assoc(politisch__1_1,politik_1_1)) & chsp1(n374berraschen_1_1,unerwartet_1_1)) & sort(autobauer_1_1,d)) & sort(autobauer_1_1,io)) & card(autobauer_1_1,int1)) & etype(autobauer_1_1,int0)) & fact(autobauer_1_1,real)) & gener(autobauer_1_1,ge)) & quant(autobauer_1_1,one)) & refer(autobauer_1_1,refer_c)) & varia(autobauer_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(fabrikant_1_1,d)) & sort(fabrikant_1_1,io)) & card(fabrikant_1_1,int1)) & etype(fabrikant_1_1,int0)) & fact(fabrikant_1_1,real)) & gener(fabrikant_1_1,ge)) & quant(fabrikant_1_1,one)) & refer(fabrikant_1_1,refer_c)) & varia(fabrikant_1_1,varia_c)) & sort(c1000,d)) & sort(c1000,io)) & card(c1000,int1)) & etype(c1000,int0)) & fact(c1000,real)) & gener(c1000,sp)) & quant(c1000,one)) & refer(c1000,det)) & varia(c1000,con)) & sort(c1001,na)) & card(c1001,int1)) & etype(c1001,int0)) & fact(c1001,real)) & gener(c1001,sp)) & quant(c1001,one)) & refer(c1001,indet)) & varia(c1001,varia_c)) & sort(britisch__1_1,nq)) & 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(rover_0,fe)) & sort(c1070,d)) & sort(c1070,io)) & card(c1070,int1)) & etype(c1070,int0)) & fact(c1070,real)) & gener(c1070,sp)) & quant(c1070,one)) & refer(c1070,det)) & varia(c1070,con)) & sort(c1071,na)) & card(c1071,int1)) & etype(c1071,int0)) & fact(c1071,real)) & gener(c1071,sp)) & quant(c1071,one)) & refer(c1071,indet)) & varia(c1071,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(bmw_0,fe)) & sort(c1077,d)) & sort(c1077,io)) & card(c1077,int1)) & etype(c1077,int0)) & fact(c1077,real)) & gener(c1077,sp)) & quant(c1077,one)) & refer(c1077,det)) & varia(c1077,con)) & sort(c1078,na)) & card(c1078,int1)) & etype(c1078,int0)) & fact(c1078,real)) & gener(c1078,sp)) & quant(c1078,one)) & refer(c1078,indet)) & varia(c1078,varia_c)) & sort(land_1_1,d)) & sort(land_1_1,io)) & card(land_1_1,int1)) & etype(land_1_1,int0)) & fact(land_1_1,real)) & gener(land_1_1,ge)) & quant(land_1_1,one)) & refer(land_1_1,refer_c)) & varia(land_1_1,varia_c)) & sort(england_0,fe)) & sort(c1082,ad)) & card(c1082,int1)) & etype(c1082,int0)) & fact(c1082,real)) & gener(c1082,sp)) & quant(c1082,one)) & refer(c1082,indet)) & varia(c1082,varia_c)) & sort(politisch__1_1,tq)) & sort(scharf_1_1,nq)) & sort(kontroverse_1_1,ad)) & card(kontroverse_1_1,int1)) & etype(kontroverse_1_1,int0)) & fact(kontroverse_1_1,real)) & gener(kontroverse_1_1,ge)) & quant(kontroverse_1_1,one)) & refer(kontroverse_1_1,refer_c)) & varia(kontroverse_1_1,varia_c)) & sort(c1088,dn)) & fact(c1088,real)) & gener(c1088,sp)) & sort(c975,ad)) & card(c975,int1)) & etype(c975,int0)) & fact(c975,real)) & gener(c975,sp)) & quant(c975,one)) & refer(c975,det)) & varia(c975,con)) & sort(c1092,l)) & card(c1092,int1)) & etype(c1092,int0)) & fact(c1092,real)) & gener(c1092,sp)) & quant(c1092,one)) & refer(c1092,det)) & varia(c1092,con)) & sort(ausl__366sen_1_1,dn)) & fact(ausl__366sen_1_1,real)) & gener(ausl__366sen_1_1,ge)) & sort(unerwartet_1_1,nq)) & sort(absatz_1_2,ad)) & card(absatz_1_2,int1)) & etype(absatz_1_2,int0)) & fact(absatz_1_2,real)) & gener(absatz_1_2,ge)) & quant(absatz_1_2,one)) & refer(absatz_1_2,refer_c)) & varia(absatz_1_2,varia_c)) & sort(politik_1_1,ad)) & sort(politik_1_1,io)) & card(politik_1_1,int1)) & etype(politik_1_1,int0)) & fact(politik_1_1,real)) & gener(politik_1_1,ge)) & quant(politik_1_1,one)) & refer(politik_1_1,refer_c)) & varia(politik_1_1,varia_c)) & sort(n374berraschen_1_1,dn)) & fact(n374berraschen_1_1,real)) & gener(n374berraschen_1_1,ge)),
% 0.14/0.47    input). 
% 0.14/0.47  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)),
% 0.14/0.47    inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.14/0.47  fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.14/0.47    input). 
% 0.14/0.47  fof('synth_qa07_007_mira_news_1314_$sk', plain, (~val(X7,bmw_0) | (~val(X1,bmw_0) | (~sub(X7,name_1_1) | (~sub(X2,firma_1_1) | (~sub(X1,name_1_1) | (~obj(X3,X2) | (~attr(X6,X5) | (~attr(X4,X7) | ~attr(X2,X1))))))))),
% 0.14/0.47    inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1314'])).
% 0.14/0.47  fof('synth_qa07_007_mira_news_1314', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : ((((((((attr(X0,X1) & attr(X3,X2)) & attr(X5,X6)) & obj(X4,X0)) & sub(X1,name_1_1)) & sub(X0,firma_1_1)) & sub(X2,name_1_1)) & val(X1,bmw_0)) & val(X2,bmw_0))),
% 0.14/0.47    input). 
% 0.14/0.47  fof('$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($sk7(X1,X2,X3),X1)))))))) | (~subr(X2,sub_0) | (~arg2(X2,X3) | ~arg1(X2,X1)))),
% 0.14/0.47    inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.14/0.47  fof('$inc_sub__bezeichnen_1_1_als', axiom, (! [X0,X1,X2] : (((arg1(X0,X1) & arg2(X0,X2)) & subr(X0,sub_0)) => (? [X3,X4,X5] : (((((((arg1(X4,X1) & arg2(X4,X5)) & hsit(X0,X3)) & mcont(X3,X4)) & obj(X3,X1)) & sub(X5,X2)) & subr(X4,rprs_0)) & subs(X3,bezeichnen_1_1))))),
% 0.14/0.47    input). 
% 0.14/0.47  cnf('1', plain, (sub(c1070,firma_1_1)),
% 0.14/0.47    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1314_$sk'])).
% 0.14/0.47  cnf('2', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.14/0.47    inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.14/0.47  cnf('3', plain, (subr($sk6(c1070,firma_1_1),sub_0)),
% 0.14/0.47    inference(resolution,[],['1','2'])).
% 0.14/0.47  cnf('4', plain, (attr(c1070,c1071)),
% 0.14/0.47    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1314_$sk'])).
% 0.14/0.47  cnf('5', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(U,V) | ~attr(W,X) | ~obj(X2006,W) | ~sub(W,firma_1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 0.14/0.47    inference(cnf_transformation,[],['synth_qa07_007_mira_news_1314_$sk'])).
% 0.14/0.47  cnf('6', 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)),
% 0.14/0.47    inference(factorization,[],['5'])).
% 0.14/0.47  cnf('7', plain, (~attr(c1070,X) | ~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,U) | ~obj(V,c1070) | ~sub(X,name_1_1)),
% 0.14/0.47    inference(resolution,[],['1','6'])).
% 0.14/0.47  cnf('8', plain, (~attr(c1070,X) | ~val(X,bmw_0) | ~attr(Y,Z) | ~obj(U,c1070) | ~sub(X,name_1_1)),
% 0.14/0.47    inference(factorization,[],['7'])).
% 0.14/0.47  cnf('9', plain, (~attr(c1070,X) | ~val(X,bmw_0) | ~obj(Y,c1070) | ~sub(X,name_1_1)),
% 0.14/0.47    inference(factorization,[],['8'])).
% 0.14/0.47  cnf('10', plain, (val(c1071,bmw_0)),
% 0.14/0.47    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1314_$sk'])).
% 0.14/0.47  cnf('11', plain, (sub(c1071,name_1_1)),
% 0.14/0.47    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1314_$sk'])).
% 0.14/0.47  cnf('12', plain, (~obj(X,c1070)),
% 0.14/0.47    inference(resolution,[then_simplify],['4','9','10','11'])).
% 0.14/0.47  cnf('13', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.14/0.47    inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.14/0.47  cnf('14', plain, (~subr(X,sub_0) | ~arg1(X,c1070) | ~arg2(X,Y)),
% 0.14/0.47    inference(resolution,[],['12','13'])).
% 0.14/0.47  cnf('15', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.14/0.47    inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.14/0.47  cnf('16', plain, (arg1($sk6(c1070,firma_1_1),c1070)),
% 0.14/0.47    inference(resolution,[],['1','15'])).
% 0.14/0.47  cnf('17', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.14/0.47    inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.14/0.47  cnf('18', plain, (arg2($sk6(c1070,firma_1_1),firma_1_1)),
% 0.14/0.47    inference(resolution,[],['1','17'])).
% 0.14/0.47  cnf('19', plain, ($false),
% 0.14/0.47    inference(resolution,[then_simplify],['3','14','16','18'])).
% 0.14/0.47  
% 0.14/0.47  % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.14/0.47  
% 0.14/0.47  run 3 fork 2 statistics:
% 0.14/0.47  ----------------------------------
% 0.14/0.47  this run seconds: 0.015686
% 0.14/0.47  total seconds: 0.058402
% 0.14/0.47  stat_given_used: 353
% 0.14/0.47  stat_given_used_at_endgame: 0
% 0.14/0.47  stat_given_candidates:   635
% 0.14/0.47  stat_given_candidates_at_endgame: 0
% 0.14/0.47  stat_given_candidates_h: 0
% 0.14/0.47  stat_binres_derived_cl:   1077
% 0.14/0.47  stat_binres_derived_cl_h: 0
% 0.14/0.47  stat_factor_derived_cl: 6
% 0.14/0.47  stat_para_derived_cl: 0
% 0.14/0.47  stat_tautologies_discarded: 0
% 0.14/0.47  stat_forward_subsumed: 12
% 0.14/0.47  stat_derived_cut: 84
% 0.14/0.47  stat_derived_rewritten: 0
% 0.14/0.47  stat_weight_discarded_building: 0
% 0.14/0.47  stat_weight_discarded_cl: 0
% 0.14/0.47  stat_internlimit_discarded_cl: 0
% 0.14/0.47  stat_simplified:  0 simplified 0 derived 0 given
% 0.14/0.47  stat_kept_cl: 1070
% 0.14/0.47  stat_built_cl: 2450
% 0.14/0.47  stat_hyperres_partial_cl: 0
% 0.14/0.47  stat_made_rewriters: 0
% 0.14/0.47  stat_backward_subsumed: 0
% 0.14/0.47  stat_propagated_subsumed: 0
% 0.14/0.47  stat_clsubs_attempted:                       710
% 0.14/0.47  stat_clsubs_fact_groundunit_found:            51
% 0.14/0.47  stat_clsubs_rule_groundunit_found:             2
% 0.14/0.47  stat_clsubs_top_meta_attempted:              22037
% 0.14/0.47  stat_clsubs_top_meta_failed:                 21327
% 0.14/0.47  stat_clsubs_top_meta_nonpref_attempted:               22037
% 0.14/0.47  stat_clsubs_top_meta_nonpref_succeeded:                5245
% 0.14/0.47  stat_clsubs_top_meta_pref_attempted:                   5245
% 0.14/0.47  stat_clsubs_top_meta_pref1_succeeded:                  1270
% 0.14/0.47  stat_clsubs_top_meta_pref2_succeeded:                   734
% 0.14/0.47  stat_clsubs_top_meta_pref3_succeeded:                   710
% 0.14/0.47  stat_clsubs_top_meta_pref_succeeded:                    710
% 0.14/0.47  stat_clsubs_meta_attempted:                 7480
% 0.14/0.47  stat_clsubs_meta_failed:                    4157
% 0.14/0.47  stat_clsubs_predsymbs_attempted:               0
% 0.14/0.47  stat_clsubs_unit_attempted:                  170
% 0.14/0.47  stat_clsubs_full_attempted:                  540
% 0.14/0.47  stat_forwardsubs_attempted:                 1083
% 0.14/0.47  stat_lit_hash_added:                   1368
% 0.14/0.47  stat_lit_hash_computed:               11753
% 0.14/0.47  stat_lit_hash_match_found:              172
% 0.14/0.47  stat_lit_hash_match_miss:             15060
% 0.14/0.47  stat_lit_hash_cut_ok:                   107
% 0.14/0.47  stat_lit_strong_cut_ok:                   7
% 0.14/0.47  stat_lit_hash_subsume_ok:                12
% 0.14/0.47  clqueue els 10000000 used 1
% 0.14/0.47  clactive els 10000000 used 691
% 0.14/0.47  clactivesubsume els 10000000 used 547
% 0.14/0.47  queue_termbuf els 200000000 used 57324
% 0.14/0.47  hyper_termbuf els 100000000 used 1
% 0.14/0.47  active_termbuf els 100000000 used 18112
% 0.14/0.47  varstack els 5000 last used 1
% 0.14/0.47  given_termbuf els 10000000 last used 1
% 0.14/0.47  simplified_termbuf els 10000000 last used 1
% 0.14/0.47  derived_termbuf els 10000000 last used 46
% 0.14/0.47  wr_mallocs: 6813
% 0.14/0.47  wr_callocs: 21
% 0.14/0.47  wr_reallocs: 224
% 0.14/0.47  wr_frees: 4
% 0.14/0.47  wr_malloc_bytes: 4162832580
% 0.14/0.47  wr_calloc_bytes: 112065536
% 0.14/0.47  wr_realloc_bytes: 687360
% 0.14/0.47  wr_realloc_freebytes: 0
% 0.14/0.47  ----------------------------------
%------------------------------------------------------------------------------