TSTP Solution File: CSR115+70 by GKC---0.8

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : GKC---0.8
% Problem  : CSR115+70 : TPTP v8.1.2. Released v4.0.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : gkc %s

% Computer : n003.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 0.96s 0.61s
% Output   : CNFRefutation 0.96s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.04/0.12  % Problem  : CSR115+70 : TPTP v8.1.2. Released v4.0.0.
% 0.04/0.13  % Command  : gkc %s
% 0.13/0.34  % Computer : n003.cluster.edu
% 0.13/0.34  % Model    : x86_64 x86_64
% 0.13/0.34  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.34  % Memory   : 8042.1875MB
% 0.13/0.34  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.13/0.34  % CPULimit : 300
% 0.13/0.34  % WCLimit  : 300
% 0.13/0.34  % DateTime : Mon Aug 28 13:09:10 EDT 2023
% 0.13/0.34  % CPUTime  : 
% 0.20/0.47  
% 0.20/0.47  input clause set summed statistics:
% 0.20/0.47  ----------------------------------
% 0.20/0.47  in_clause_count:                 10474
% 0.20/0.47  in_rule_clause_count:              336
% 0.20/0.47  in_fact_clause_count:            10138
% 0.20/0.47  in_answer_clause_count:              0
% 0.20/0.47  in_ground_clause_count:          10138
% 0.20/0.47  in_unit_clause_count:            10140
% 0.20/0.47  in_horn_clause_count:            10464
% 0.20/0.47  in_pos_clause_count:             10144
% 0.20/0.47  in_neg_clause_count:                11
% 0.20/0.47  in_poseq_clause_count:               0
% 0.20/0.47  in_negeq_clause_count:               0
% 0.20/0.47  in_unitposeq_clause_count:           0
% 0.20/0.47  in_chain_clause_count:               0
% 0.20/0.47  in_min_length:             1
% 0.20/0.47  in_max_length:             9
% 0.20/0.47  in_min_depth:              1
% 0.20/0.47  in_max_depth:              5
% 0.20/0.47  in_min_size:               3
% 0.20/0.47  in_max_size:              30
% 0.20/0.47  in_min_vars:               0
% 0.20/0.47  in_max_vars:               7
% 0.20/0.47  in_extaxiom_count:             10394
% 0.20/0.47  in_axiom_count:                    0
% 0.20/0.47  in_assumption_count:              79
% 0.20/0.47  in_goal_count:                     1
% 0.20/0.47  in_neg_goal_count:                 1
% 0.20/0.47  in_pos_goal_count:                 0
% 0.20/0.47  in_posunit_goal_count:             0
% 0.20/0.47  
% 0.20/0.47  auto guide:
% 0.20/0.47  -----------
% 0.20/0.47  {
% 0.20/0.47  "print":1,
% 0.20/0.47  "print_level": 15,
% 0.20/0.47  "max_size": 0,
% 0.20/0.47  "max_depth": 0,
% 0.20/0.47  "max_length": 0,
% 0.20/0.47  "max_dseconds": 0,
% 0.20/0.47  "equality":0,
% 0.20/0.47  "runs":[
% 0.20/0.47  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.47  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.47  {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.47  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.47  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.47  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.47  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.47  {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.20/0.47  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.47  {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.47  {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.47  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.47  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.20/0.47  {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.47  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.47  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.47  {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.47  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.47  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.47  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.47  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.47  
% 0.20/0.47  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47  {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.47  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.47  {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.47  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.47  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.47  {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.47  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.47  {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.20/0.47  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.47  {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.47  {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.47  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.47  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.20/0.47  {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.47  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.47  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.47  {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.47  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.47  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.47  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.47  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.20/0.47  
% 0.20/0.47  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47  {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.47  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.47  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.47  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.47  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.47  {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.20/0.47  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.47  {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.47  {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.47  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.47  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.20/0.47  {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.47  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.47  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.47  {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.47  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.47  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.47  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.47  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.20/0.47  
% 0.20/0.47  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47  {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47  {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47  {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.47  
% 0.20/0.47  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47  {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47  {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47  {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2} 
% 0.20/0.47  
% 0.20/0.47  ]}
% 0.20/0.47  
% 0.20/0.47  
% 0.20/0.47  **** run 1 fork 0 starts with strategy
% 0.20/0.47  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.20/0.47  
% 0.20/0.47  **** run 2 fork 1 starts with strategy
% 0.20/0.47  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.20/0.47  
% 0.20/0.47  **** run 3 fork 2 starts with strategy
% 0.20/0.47  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.20/0.47  
% 0.20/0.47  **** run 4 fork 3 starts with strategy
% 0.20/0.47  {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.20/0.47  
% 0.20/0.47  **** run 5 fork 4 starts with strategy
% 0.20/0.47  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.20/0.47  
% 0.20/0.47  **** run 6 fork 5 starts with strategy
% 0.20/0.47  {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.20/0.47  
% 0.20/0.47  **** run 8 fork 7 starts with strategy
% 0.20/0.47  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.20/0.47  **** run 7 fork 6 starts with strategy
% 0.20/0.47  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.20/0.47  
% 0.20/0.60  
% 0.20/0.60  fork 7: search finished without proof.
% 0.96/0.61  
% 0.96/0.61  
% 0.96/0.61  result: proof found
% 0.96/0.61  for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.96/0.61  by run 5 fork 4 strategy {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.96/0.61  % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.96/0.61  
% 0.96/0.61  % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.96/0.61  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)))),
% 0.96/0.61    inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.96/0.61  fof('$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))))),
% 0.96/0.61    input). 
% 0.96/0.61  fof('$inc_sub__sub_0_expansion_$sk', plain, ((subr($sk6(X1,X2),sub_0) & (arg2($sk6(X1,X2),X2) & arg1($sk6(X1,X2),X1))) | ~sub(X1,X2)),
% 0.96/0.61    inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.96/0.61  fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.96/0.61    input). 
% 0.96/0.61  fof('ave07_era5_synth_qa07_007_mira_wp_480_$sk', plain, (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(c41,varia_c) & (refer(c41,indet) & (quant(c41,one) & (gener(c41,sp) & (fact(c41,real) & (etype(c41,int0) & (card(c41,int1) & (sort(c41,na) & (varia(c40,con) & (refer(c40,det) & (quant(c40,one) & (gener(c40,sp) & (fact(c40,real) & (etype(c40,int0) & (card(c40,int1) & (sort(c40,io) & (sort(c40,d) & (varia(geschichte_1_1,varia_c) & (refer(geschichte_1_1,refer_c) & (quant(geschichte_1_1,one) & (gener(geschichte_1_1,ge) & (fact(geschichte_1_1,real) & (etype(geschichte_1_1,int0) & (card(geschichte_1_1,int1) & (sort(geschichte_1_1,io) & (sort(geschichte_1_1,d) & (sort(geschichte_1_1,ad) & (gener(behandeln_1_1,ge) & (fact(behandeln_1_1,real) & (sort(behandeln_1_1,st) & (varia(c25,con) & (refer(c25,det) & (quant(c25,one) & (gener(c25,sp) & (fact(c25,hypo) & (etype(c25,int0) & (card(c25,int1) & (sort(c25,io) & (sort(c25,d) & (sort(c25,ad) & (varia(c3,varia_c) & (refer(c3,det) & (quant(c3,one) & (gener(c3,sp) & (fact(c3,real) & (etype(c3,int0) & (card(c3,int1) & (sort(c3,o) & (gener(c11,sp) & (fact(c11,real) & (sort(c11,st) & (val(c41,bmw_0) & (sub(c41,name_1_1) & (sub(c40,firma_1_1) & (attr(c40,c41) & (attch(c40,c25) & (mcont(c3,c25) & (sub(c25,geschichte_1_1) & (subs(c11,behandeln_1_1) & (arg2(c11,c25) & arg1(c11,c3))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.96/0.61    inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_wp_480'])).
% 0.96/0.61  fof('ave07_era5_synth_qa07_007_mira_wp_480', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((arg1(c11,c3) & arg2(c11,c25)) & subs(c11,behandeln_1_1)) & sub(c25,geschichte_1_1)) & mcont(c3,c25)) & attch(c40,c25)) & attr(c40,c41)) & sub(c40,firma_1_1)) & sub(c41,name_1_1)) & val(c41,bmw_0)) & sort(c11,st)) & fact(c11,real)) & gener(c11,sp)) & sort(c3,o)) & card(c3,int1)) & etype(c3,int0)) & fact(c3,real)) & gener(c3,sp)) & quant(c3,one)) & refer(c3,det)) & varia(c3,varia_c)) & sort(c25,ad)) & sort(c25,d)) & sort(c25,io)) & card(c25,int1)) & etype(c25,int0)) & fact(c25,hypo)) & gener(c25,sp)) & quant(c25,one)) & refer(c25,det)) & varia(c25,con)) & sort(behandeln_1_1,st)) & fact(behandeln_1_1,real)) & gener(behandeln_1_1,ge)) & sort(geschichte_1_1,ad)) & sort(geschichte_1_1,d)) & sort(geschichte_1_1,io)) & card(geschichte_1_1,int1)) & etype(geschichte_1_1,int0)) & fact(geschichte_1_1,real)) & gener(geschichte_1_1,ge)) & quant(geschichte_1_1,one)) & refer(geschichte_1_1,refer_c)) & varia(geschichte_1_1,varia_c)) & sort(c40,d)) & sort(c40,io)) & card(c40,int1)) & etype(c40,int0)) & fact(c40,real)) & gener(c40,sp)) & quant(c40,one)) & refer(c40,det)) & varia(c40,con)) & sort(c41,na)) & card(c41,int1)) & etype(c41,int0)) & fact(c41,real)) & gener(c41,sp)) & quant(c41,one)) & refer(c41,indet)) & varia(c41,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)),
% 0.96/0.61    input). 
% 0.96/0.61  fof('synth_qa07_007_mira_wp_480_$sk', plain, (~val(X7,bmw_0) | (~val(X1,bmw_0) | (~sub(X7,name_1_1) | (~sub(X2,firma_1_1) | (~sub(X1,name_1_1) | (~obj(X3,X2) | (~attr(X6,X5) | (~attr(X4,X7) | ~attr(X2,X1))))))))),
% 0.96/0.61    inference(negpush_and_skolemize,[],['synth_qa07_007_mira_wp_480'])).
% 0.96/0.61  fof('synth_qa07_007_mira_wp_480', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : ((((((((attr(X0,X1) & attr(X3,X2)) & attr(X5,X6)) & obj(X4,X0)) & sub(X1,name_1_1)) & sub(X0,firma_1_1)) & sub(X2,name_1_1)) & val(X1,bmw_0)) & val(X2,bmw_0))),
% 0.96/0.61    input). 
% 0.96/0.61  cnf('1', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.96/0.61    inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.96/0.61  cnf('2', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.96/0.61    inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.96/0.61  cnf('3', plain, (sub(c40,firma_1_1)),
% 0.96/0.61    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_480_$sk'])).
% 0.96/0.61  cnf('4', plain, (subr($sk6(c40,firma_1_1),sub_0)),
% 0.96/0.61    inference(resolution,[],['2','3'])).
% 0.96/0.61  cnf('5', plain, (obj($sk9(X,$sk6(c40,firma_1_1),Y),X) | ~arg1($sk6(c40,firma_1_1),X) | ~arg2($sk6(c40,firma_1_1),Y)),
% 0.96/0.61    inference(resolution,[],['1','4'])).
% 0.96/0.61  cnf('6', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.96/0.61    inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.96/0.61  cnf('7', plain, (arg1($sk6(c40,firma_1_1),c40)),
% 0.96/0.61    inference(resolution,[],['6','3'])).
% 0.96/0.61  cnf('8', plain, (attr(c40,c41)),
% 0.96/0.61    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_480_$sk'])).
% 0.96/0.61  cnf('9', plain, (val(c41,bmw_0)),
% 0.96/0.61    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_480_$sk'])).
% 0.96/0.61  cnf('10', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(U,V) | ~attr(W,X) | ~obj(X2006,W) | ~sub(W,firma_1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 0.96/0.61    inference(cnf_transformation,[],['synth_qa07_007_mira_wp_480_$sk'])).
% 0.96/0.61  cnf('11', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,U) | ~obj(V,Y) | ~sub(Y,firma_1_1) | ~sub(X,name_1_1)),
% 0.96/0.61    inference(factorization,[],['10'])).
% 0.96/0.61  cnf('12', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~obj(Z,Y) | ~sub(Y,firma_1_1) | ~sub(X,name_1_1)),
% 0.96/0.61    inference(factorization,[],['11'])).
% 0.96/0.61  cnf('13', plain, (sub(c41,name_1_1)),
% 0.96/0.61    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_480_$sk'])).
% 0.96/0.61  cnf('14', plain, (~attr(X,c41) | ~obj(Y,X) | ~sub(X,firma_1_1)),
% 0.96/0.61    inference(resolution,[then_simplify],['9','12','13'])).
% 0.96/0.61  cnf('15', plain, (sub(c40,firma_1_1)),
% 0.96/0.61    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_480_$sk'])).
% 0.96/0.61  cnf('16', plain, (~obj(X3,c40)),
% 0.96/0.61    inference(resolution,[then_simplify],['8','14','15'])).
% 0.96/0.61  cnf('17', plain, (~arg2($sk6(c40,firma_1_1),X)),
% 0.96/0.61    inference(resolution,[then_simplify],['5','7','16'])).
% 0.96/0.61  cnf('18', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.96/0.61    inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.96/0.61  cnf('19', plain, (arg2($sk6(c40,firma_1_1),firma_1_1)),
% 0.96/0.61    inference(resolution,[],['18','3'])).
% 0.96/0.61  cnf('20', plain, ($false),
% 0.96/0.61    inference(resolution,[],['17','19'])).
% 0.96/0.61  
% 0.96/0.61  % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.96/0.61  
% 0.96/0.61  run 5 fork 4 statistics:
% 0.96/0.61  ----------------------------------
% 0.96/0.61  this run seconds: 0.019039
% 0.96/0.61  total seconds: 0.061701
% 0.96/0.61  stat_given_used: 602
% 0.96/0.61  stat_given_used_at_endgame: 0
% 0.96/0.61  stat_given_candidates:   831
% 0.96/0.61  stat_given_candidates_at_endgame: 0
% 0.96/0.61  stat_given_candidates_h: 0
% 0.96/0.61  stat_binres_derived_cl:   349
% 0.96/0.61  stat_binres_derived_cl_h: 0
% 0.96/0.61  stat_factor_derived_cl: 9
% 0.96/0.61  stat_para_derived_cl: 0
% 0.96/0.61  stat_tautologies_discarded: 3
% 0.96/0.61  stat_forward_subsumed: 2
% 0.96/0.61  stat_derived_cut: 8
% 0.96/0.61  stat_derived_rewritten: 0
% 0.96/0.61  stat_weight_discarded_building: 0
% 0.96/0.61  stat_weight_discarded_cl: 0
% 0.96/0.61  stat_internlimit_discarded_cl: 0
% 0.96/0.61  stat_simplified:  0 simplified 0 derived 0 given
% 0.96/0.61  stat_kept_cl: 352
% 0.96/0.61  stat_built_cl: 1556
% 0.96/0.61  stat_hyperres_partial_cl: 0
% 0.96/0.61  stat_made_rewriters: 0
% 0.96/0.61  stat_backward_subsumed: 0
% 0.96/0.61  stat_propagated_subsumed: 0
% 0.96/0.61  stat_clsubs_attempted:                       765
% 0.96/0.61  stat_clsubs_fact_groundunit_found:           198
% 0.96/0.61  stat_clsubs_rule_groundunit_found:             9
% 0.96/0.61  stat_clsubs_top_meta_attempted:              50802
% 0.96/0.61  stat_clsubs_top_meta_failed:                 50037
% 0.96/0.61  stat_clsubs_top_meta_nonpref_attempted:               50802
% 0.96/0.61  stat_clsubs_top_meta_nonpref_succeeded:               23949
% 0.96/0.61  stat_clsubs_top_meta_pref_attempted:                  23949
% 0.96/0.61  stat_clsubs_top_meta_pref1_succeeded:                  1031
% 0.96/0.61  stat_clsubs_top_meta_pref2_succeeded:                   776
% 0.96/0.61  stat_clsubs_top_meta_pref3_succeeded:                   765
% 0.96/0.61  stat_clsubs_top_meta_pref_succeeded:                    765
% 0.96/0.61  stat_clsubs_meta_attempted:                 1964
% 0.96/0.61  stat_clsubs_meta_failed:                    1231
% 0.96/0.61  stat_clsubs_predsymbs_attempted:               0
% 0.96/0.61  stat_clsubs_unit_attempted:                  118
% 0.96/0.61  stat_clsubs_full_attempted:                  647
% 0.96/0.61  stat_forwardsubs_attempted:                  354
% 0.96/0.61  stat_lit_hash_added:                    911
% 0.96/0.61  stat_lit_hash_computed:                4537
% 0.96/0.61  stat_lit_hash_match_found:              216
% 0.96/0.61  stat_lit_hash_match_miss:              4967
% 0.96/0.61  stat_lit_hash_cut_ok:                     7
% 0.96/0.61  stat_lit_strong_cut_ok:                   1
% 0.96/0.61  stat_lit_hash_subsume_ok:                 2
% 0.96/0.61  clqueue els 10000000 used 1
% 0.96/0.61  clactive els 10000000 used 603
% 0.96/0.62  clactivesubsume els 10000000 used 1699
% 0.96/0.62  queue_termbuf els 200000000 used 15858
% 0.96/0.62  hyper_termbuf els 100000000 used 1
% 0.96/0.62  active_termbuf els 100000000 used 13435
% 0.96/0.62  varstack els 5000 last used 1
% 0.96/0.62  given_termbuf els 10000000 last used 21
% 0.96/0.62  simplified_termbuf els 10000000 last used 1
% 0.96/0.62  derived_termbuf els 10000000 last used 3
% 0.96/0.62  wr_mallocs: 4440
% 0.96/0.62  wr_callocs: 21
% 0.96/0.62  wr_reallocs: 123
% 0.96/0.62  wr_frees: 4
% 0.96/0.62  wr_malloc_bytes: 4162751508
% 0.96/0.62  wr_calloc_bytes: 112065536
% 0.96/0.62  wr_realloc_bytes: 688120
% 0.96/0.62  wr_realloc_freebytes: 0
% 0.96/0.62  ----------------------------------
%------------------------------------------------------------------------------