TSTP Solution File: CSR115+47 by GKC---0.8

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : GKC---0.8
% Problem  : CSR115+47 : TPTP v8.1.2. Released v4.0.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : gkc %s

% Computer : n001.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 21:24:30 EDT 2023

% Result   : Theorem 0.22s 0.63s
% Output   : CNFRefutation 0.22s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.14  % Problem  : CSR115+47 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.15  % Command  : gkc %s
% 0.15/0.36  % Computer : n001.cluster.edu
% 0.15/0.36  % Model    : x86_64 x86_64
% 0.15/0.36  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.15/0.36  % Memory   : 8042.1875MB
% 0.15/0.36  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.15/0.37  % CPULimit : 300
% 0.15/0.37  % WCLimit  : 300
% 0.15/0.37  % DateTime : Mon Aug 28 11:54:05 EDT 2023
% 0.22/0.37  % CPUTime  : 
% 0.22/0.49  
% 0.22/0.49  input clause set summed statistics:
% 0.22/0.49  ----------------------------------
% 0.22/0.49  in_clause_count:                 10517
% 0.22/0.49  in_rule_clause_count:              336
% 0.22/0.49  in_fact_clause_count:            10181
% 0.22/0.49  in_answer_clause_count:              0
% 0.22/0.49  in_ground_clause_count:          10181
% 0.22/0.49  in_unit_clause_count:            10183
% 0.22/0.49  in_horn_clause_count:            10507
% 0.22/0.49  in_pos_clause_count:             10187
% 0.22/0.49  in_neg_clause_count:                11
% 0.22/0.49  in_poseq_clause_count:               0
% 0.22/0.49  in_negeq_clause_count:               0
% 0.22/0.49  in_unitposeq_clause_count:           0
% 0.22/0.49  in_chain_clause_count:               0
% 0.22/0.49  in_min_length:             1
% 0.22/0.49  in_max_length:            11
% 0.22/0.49  in_min_depth:              1
% 0.22/0.49  in_max_depth:              5
% 0.22/0.49  in_min_size:               3
% 0.22/0.49  in_max_size:              33
% 0.22/0.49  in_min_vars:               0
% 0.22/0.49  in_max_vars:               7
% 0.22/0.49  in_extaxiom_count:             10394
% 0.22/0.49  in_axiom_count:                    0
% 0.22/0.49  in_assumption_count:             122
% 0.22/0.49  in_goal_count:                     1
% 0.22/0.49  in_neg_goal_count:                 1
% 0.22/0.49  in_pos_goal_count:                 0
% 0.22/0.49  in_posunit_goal_count:             0
% 0.22/0.49  
% 0.22/0.49  auto guide:
% 0.22/0.49  -----------
% 0.22/0.49  {
% 0.22/0.49  "print":1,
% 0.22/0.49  "print_level": 15,
% 0.22/0.49  "max_size": 0,
% 0.22/0.49  "max_depth": 0,
% 0.22/0.49  "max_length": 0,
% 0.22/0.49  "max_dseconds": 0,
% 0.22/0.49  "equality":0,
% 0.22/0.49  "runs":[
% 0.22/0.49  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.22/0.49  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.22/0.49  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.22/0.49  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.22/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.22/0.49  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.22/0.49  {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.22/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.22/0.49  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.22/0.49  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.22/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.22/0.49  {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.22/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.22/0.49  {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.22/0.49  {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.22/0.49  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.22/0.49  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.22/0.49  {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.22/0.49  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.22/0.49  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.22/0.49  {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.22/0.49  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.22/0.49  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.22/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.22/0.49  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.22/0.49  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.22/0.49  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.22/0.49  
% 0.22/0.49  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.22/0.49  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.22/0.49  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.22/0.49  {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.22/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.22/0.49  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.22/0.49  {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.22/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.22/0.49  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.22/0.49  {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.22/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.22/0.49  {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.22/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.22/0.49  {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.22/0.49  {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.22/0.49  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.22/0.49  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.22/0.49  {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.22/0.49  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.22/0.49  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.22/0.49  {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.22/0.49  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.22/0.49  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.22/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.22/0.49  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.22/0.49  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.22/0.49  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.22/0.49  
% 0.22/0.49  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.22/0.49  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.22/0.49  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.22/0.49  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.22/0.49  {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.22/0.49  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.22/0.49  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.22/0.49  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.22/0.49  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.22/0.49  {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.22/0.49  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.22/0.49  {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.22/0.49  {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.22/0.49  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.22/0.49  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.22/0.49  {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.22/0.49  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.22/0.49  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.22/0.49  {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.22/0.49  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.22/0.49  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.22/0.49  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.22/0.49  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.22/0.49  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.22/0.49  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.22/0.49  
% 0.22/0.49  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.22/0.49  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.22/0.49  {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.22/0.49  {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.22/0.49  {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.22/0.49  
% 0.22/0.49  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.22/0.49  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.22/0.49  {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.22/0.49  {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.22/0.49  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.22/0.49  {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2} 
% 0.22/0.49  
% 0.22/0.49  ]}
% 0.22/0.49  
% 0.22/0.49  
% 0.22/0.49  **** run 1 fork 0 starts with strategy
% 0.22/0.49  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.22/0.49  
% 0.22/0.49  **** run 2 fork 1 starts with strategy
% 0.22/0.49  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.22/0.49  
% 0.22/0.49  **** run 3 fork 2 starts with strategy
% 0.22/0.49  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.22/0.49  
% 0.22/0.49  **** run 4 fork 3 starts with strategy
% 0.22/0.49  {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.22/0.49  
% 0.22/0.49  **** run 5 fork 4 starts with strategy
% 0.22/0.49  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.22/0.49  
% 0.22/0.49  **** run 6 fork 5 starts with strategy
% 0.22/0.49  {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.22/0.49  
% 0.22/0.49  **** run 8 fork 7 starts with strategy
% 0.22/0.49  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.22/0.50  
% 0.22/0.50  **** run 7 fork 6 starts with strategy
% 0.22/0.50  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.22/0.62  
% 0.22/0.62  fork 7: search finished without proof.
% 0.22/0.63  
% 0.22/0.63  
% 0.22/0.63  result: proof found
% 0.22/0.63  for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% 0.22/0.63  by run 5 fork 4 strategy {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.22/0.63  % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% 0.22/0.63  
% 0.22/0.63  % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% 0.22/0.63  fof('$inc_has_card_eq_$sk', plain, (has_card_leq(X2,X1) | ~card(X2,X1)),
% 0.22/0.63    inference(negpush_and_skolemize,[],['$inc_has_card_eq'])).
% 0.22/0.63  fof('$inc_has_card_eq', axiom, (! [X0,X1] : (card(X0,X1) => has_card_leq(X0,X1))),
% 0.22/0.63    input). 
% 0.22/0.63  fof('ave07_era5_synth_qa07_007_mira_news_1287_a19984_$sk', plain, (varia(schon_1_1,varia_c) & (refer(schon_1_1,refer_c) & (quant(schon_1_1,one) & (gener(schon_1_1,sp) & (fact(schon_1_1,real) & (etype(schon_1_1,int0) & (card(schon_1_1,int1) & (sort(schon_1_1,t) & (gener(festigen_1_1,ge) & (fact(festigen_1_1,real) & (sort(festigen_1_1,da) & (card(c508,int1994) & (sort(c508,nu) & (varia(jahr__1_1,varia_c) & (refer(jahr__1_1,refer_c) & (quant(jahr__1_1,quant_c) & (gener(jahr__1_1,ge) & (fact(jahr__1_1,real) & (etype(jahr__1_1,etype_c) & (card(jahr__1_1,card_c) & (sort(jahr__1_1,ta) & (sort(jahr__1_1,oa) & (sort(jahr__1_1,me) & (varia(c518,varia_c) & (refer(c518,refer_c) & (quant(c518,quant_c) & (gener(c518,sp) & (fact(c518,real) & (etype(c518,etype_c) & (card(c518,card_c) & (sort(c518,ta) & (sort(c518,oa) & (sort(c518,me) & (varia(c517,con) & (refer(c517,det) & (quant(c517,one) & (gener(c517,sp) & (fact(c517,real) & (etype(c517,int0) & (card(c517,int1) & (sort(c517,t) & (sort(rover_0,fe) & (varia(c507,varia_c) & (refer(c507,indet) & (quant(c507,one) & (gener(c507,sp) & (fact(c507,real) & (etype(c507,int0) & (card(c507,int1) & (sort(c507,na) & (varia(c506,con) & (refer(c506,det) & (quant(c506,one) & (gener(c506,sp) & (fact(c506,real) & (etype(c506,int0) & (card(c506,int1) & (sort(c506,io) & (sort(c506,d) & (sort(bmw_0,fe) & (varia(name_1_1,varia_c) & (refer(name_1_1,refer_c) & (quant(name_1_1,one) & (gener(name_1_1,ge) & (fact(name_1_1,real) & (etype(name_1_1,int0) & (card(name_1_1,int1) & (sort(name_1_1,na) & (varia(firma_1_1,varia_c) & (refer(firma_1_1,refer_c) & (quant(firma_1_1,one) & (gener(firma_1_1,ge) & (fact(firma_1_1,real) & (etype(firma_1_1,int0) & (card(firma_1_1,int1) & (sort(firma_1_1,io) & (sort(firma_1_1,d) & (varia(c420,varia_c) & (refer(c420,indet) & (quant(c420,one) & (gener(c420,sp) & (fact(c420,real) & (etype(c420,int0) & (card(c420,int1) & (sort(c420,na) & (gener(erw__344gen_1_1,ge) & (fact(erw__344gen_1_1,real) & (sort(erw__344gen_1_1,da) & (varia(c419,con) & (refer(c419,det) & (quant(c419,one) & (gener(c419,sp) & (fact(c419,real) & (etype(c419,int0) & (card(c419,int1) & (sort(c419,io) & (sort(c419,d) & (gener(c519,sp) & (fact(c519,hypo) & (sort(c519,da) & (gener(c417,sp) & (fact(c417,real) & (sort(c417,da) & (temp(c519,schon_1_1) & (temp(c519,c517) & (subs(c519,festigen_1_1) & (obj(c519,c506) & (agt(c519,c419) & (val(c518,c508) & (sub(c518,jahr__1_1) & (attr(c517,c518) & (val(c507,rover_0) & (sub(c507,name_1_1) & (sub(c506,firma_1_1) & (attr(c506,c507) & (val(c420,bmw_0) & (sub(c420,name_1_1) & (sub(c419,firma_1_1) & (attr(c419,c420) & (subs(c417,erw__344gen_1_1) & (mexp(c417,c419) & mcont(c417,c519)))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.22/0.63    inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1287_a19984'])).
% 0.22/0.63  fof('ave07_era5_synth_qa07_007_mira_news_1287_a19984', hypothesis, (((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((mcont(c417,c519) & mexp(c417,c419)) & subs(c417,erw__344gen_1_1)) & attr(c419,c420)) & sub(c419,firma_1_1)) & sub(c420,name_1_1)) & val(c420,bmw_0)) & attr(c506,c507)) & sub(c506,firma_1_1)) & sub(c507,name_1_1)) & val(c507,rover_0)) & attr(c517,c518)) & sub(c518,jahr__1_1)) & val(c518,c508)) & agt(c519,c419)) & obj(c519,c506)) & subs(c519,festigen_1_1)) & temp(c519,c517)) & temp(c519,schon_1_1)) & sort(c417,da)) & fact(c417,real)) & gener(c417,sp)) & sort(c519,da)) & fact(c519,hypo)) & gener(c519,sp)) & sort(c419,d)) & sort(c419,io)) & card(c419,int1)) & etype(c419,int0)) & fact(c419,real)) & gener(c419,sp)) & quant(c419,one)) & refer(c419,det)) & varia(c419,con)) & sort(erw__344gen_1_1,da)) & fact(erw__344gen_1_1,real)) & gener(erw__344gen_1_1,ge)) & sort(c420,na)) & card(c420,int1)) & etype(c420,int0)) & fact(c420,real)) & gener(c420,sp)) & quant(c420,one)) & refer(c420,indet)) & varia(c420,varia_c)) & sort(firma_1_1,d)) & sort(firma_1_1,io)) & card(firma_1_1,int1)) & etype(firma_1_1,int0)) & fact(firma_1_1,real)) & gener(firma_1_1,ge)) & quant(firma_1_1,one)) & refer(firma_1_1,refer_c)) & varia(firma_1_1,varia_c)) & sort(name_1_1,na)) & card(name_1_1,int1)) & etype(name_1_1,int0)) & fact(name_1_1,real)) & gener(name_1_1,ge)) & quant(name_1_1,one)) & refer(name_1_1,refer_c)) & varia(name_1_1,varia_c)) & sort(bmw_0,fe)) & sort(c506,d)) & sort(c506,io)) & card(c506,int1)) & etype(c506,int0)) & fact(c506,real)) & gener(c506,sp)) & quant(c506,one)) & refer(c506,det)) & varia(c506,con)) & sort(c507,na)) & card(c507,int1)) & etype(c507,int0)) & fact(c507,real)) & gener(c507,sp)) & quant(c507,one)) & refer(c507,indet)) & varia(c507,varia_c)) & sort(rover_0,fe)) & sort(c517,t)) & card(c517,int1)) & etype(c517,int0)) & fact(c517,real)) & gener(c517,sp)) & quant(c517,one)) & refer(c517,det)) & varia(c517,con)) & sort(c518,me)) & sort(c518,oa)) & sort(c518,ta)) & card(c518,card_c)) & etype(c518,etype_c)) & fact(c518,real)) & gener(c518,sp)) & quant(c518,quant_c)) & refer(c518,refer_c)) & varia(c518,varia_c)) & sort(jahr__1_1,me)) & sort(jahr__1_1,oa)) & sort(jahr__1_1,ta)) & card(jahr__1_1,card_c)) & etype(jahr__1_1,etype_c)) & fact(jahr__1_1,real)) & gener(jahr__1_1,ge)) & quant(jahr__1_1,quant_c)) & refer(jahr__1_1,refer_c)) & varia(jahr__1_1,varia_c)) & sort(c508,nu)) & card(c508,int1994)) & sort(festigen_1_1,da)) & fact(festigen_1_1,real)) & gener(festigen_1_1,ge)) & sort(schon_1_1,t)) & card(schon_1_1,int1)) & etype(schon_1_1,int0)) & fact(schon_1_1,real)) & gener(schon_1_1,sp)) & quant(schon_1_1,one)) & refer(schon_1_1,refer_c)) & varia(schon_1_1,varia_c)),
% 0.22/0.63    input). 
% 0.22/0.63  fof('synth_qa07_007_mira_news_1287_a19984_$sk', plain, (~val(X7,X6) | (~val(X1,bmw_0) | (~temp(X5,X4) | (~sub(X7,jahr__1_1) | (~sub(X1,name_1_1) | (~sub(X2,firma_1_1) | (~obj(X5,X2) | (~has_card_leq(X6,int1994) | (~attr(X4,X7) | (~attr(X3,X1) | ~agt(X5,X3))))))))))),
% 0.22/0.63    inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1287_a19984'])).
% 0.22/0.63  fof('synth_qa07_007_mira_news_1287_a19984', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : ((((((((((agt(X3,X2) & attr(X2,X1)) & attr(X4,X5)) & has_card_leq(X6,int1994)) & obj(X3,X0)) & sub(X0,firma_1_1)) & sub(X1,name_1_1)) & sub(X5,jahr__1_1)) & temp(X3,X4)) & val(X1,bmw_0)) & val(X5,X6))),
% 0.22/0.63    input). 
% 0.22/0.63  cnf('1', plain, (~card(X,Y) | has_card_leq(X,Y)),
% 0.22/0.63    inference(cnf_transformation,[],['$inc_has_card_eq_$sk'])).
% 0.22/0.63  cnf('2', plain, (card(c508,int1994)),
% 0.22/0.63    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1287_a19984_$sk'])).
% 0.22/0.63  cnf('3', plain, (has_card_leq(c508,int1994)),
% 0.22/0.63    inference(resolution,[],['1','2'])).
% 0.22/0.63  cnf('4', plain, (~val(X,bmw_0) | ~val(Y,Z) | ~attr(U,X) | ~attr(V,Y) | ~agt(W,U) | ~obj(W,X2006) | ~temp(W,V) | ~sub(X2006,firma_1_1) | ~sub(X,name_1_1) | ~sub(Y,jahr__1_1) | ~has_card_leq(Z,int1994)),
% 0.22/0.63    inference(cnf_transformation,[],['synth_qa07_007_mira_news_1287_a19984_$sk'])).
% 0.22/0.63  cnf('5', plain, (~val(X,c508) | ~val(Y,bmw_0) | ~attr(Z,X) | ~attr(U,Y) | ~agt(V,U) | ~obj(V,W) | ~temp(V,Z) | ~sub(W,firma_1_1) | ~sub(X,jahr__1_1) | ~sub(Y,name_1_1)),
% 0.22/0.63    inference(resolution,[],['3','4'])).
% 0.22/0.63  cnf('6', plain, (val(c518,c508)),
% 0.22/0.63    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1287_a19984_$sk'])).
% 0.22/0.63  cnf('7', plain, (sub(c518,jahr__1_1)),
% 0.22/0.63    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1287_a19984_$sk'])).
% 0.22/0.63  cnf('8', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,c518) | ~agt(U,Y) | ~obj(U,V) | ~temp(U,Z) | ~sub(V,firma_1_1) | ~sub(X,name_1_1)),
% 0.22/0.63    inference(resolution,[then_simplify],['5','6','7'])).
% 0.22/0.63  cnf('9', plain, (val(c420,bmw_0)),
% 0.22/0.63    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1287_a19984_$sk'])).
% 0.22/0.63  cnf('10', plain, (sub(c420,name_1_1)),
% 0.22/0.63    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1287_a19984_$sk'])).
% 0.22/0.63  cnf('11', plain, (~attr(X,c518) | ~attr(Y,c420) | ~agt(Z,Y) | ~obj(Z,U) | ~temp(Z,X) | ~sub(U,firma_1_1)),
% 0.22/0.63    inference(resolution,[then_simplify],['8','9','10'])).
% 0.22/0.63  cnf('12', plain, (attr(c517,c518)),
% 0.22/0.63    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1287_a19984_$sk'])).
% 0.22/0.63  cnf('13', plain, (~attr(X,c420) | ~agt(Y,X) | ~obj(Y,Z) | ~temp(Y,c517) | ~sub(Z,firma_1_1)),
% 0.22/0.63    inference(resolution,[],['11','12'])).
% 0.22/0.63  cnf('14', plain, (attr(c419,c420)),
% 0.22/0.63    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1287_a19984_$sk'])).
% 0.22/0.63  cnf('15', plain, (~agt(X,c419) | ~obj(X,Y) | ~temp(X,c517) | ~sub(Y,firma_1_1)),
% 0.22/0.63    inference(resolution,[],['13','14'])).
% 0.22/0.63  cnf('16', plain, (agt(c519,c419)),
% 0.22/0.63    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1287_a19984_$sk'])).
% 0.22/0.63  cnf('17', plain, (temp(c519,c517)),
% 0.22/0.63    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1287_a19984_$sk'])).
% 0.22/0.63  cnf('18', plain, (~obj(c519,X) | ~sub(X,firma_1_1)),
% 0.22/0.63    inference(resolution,[then_simplify],['15','16','17'])).
% 0.22/0.63  cnf('19', plain, (obj(c519,c506)),
% 0.22/0.63    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1287_a19984_$sk'])).
% 0.22/0.63  cnf('20', plain, (sub(c506,firma_1_1)),
% 0.22/0.63    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1287_a19984_$sk'])).
% 0.22/0.63  cnf('21', plain, ($false),
% 0.22/0.63    inference(resolution,[then_simplify],['18','19','20'])).
% 0.22/0.63  
% 0.22/0.63  % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% 0.22/0.63  
% 0.22/0.63  run 5 fork 4 statistics:
% 0.22/0.63  ----------------------------------
% 0.22/0.63  this run seconds: 0.010225
% 0.22/0.63  total seconds: 0.050374
% 0.22/0.63  stat_given_used: 270
% 0.22/0.63  stat_given_used_at_endgame: 0
% 0.22/0.63  stat_given_candidates:   327
% 0.22/0.63  stat_given_candidates_at_endgame: 0
% 0.22/0.63  stat_given_candidates_h: 0
% 0.22/0.63  stat_binres_derived_cl:   149
% 0.22/0.63  stat_binres_derived_cl_h: 0
% 0.22/0.63  stat_factor_derived_cl: 6
% 0.22/0.63  stat_para_derived_cl: 0
% 0.22/0.63  stat_tautologies_discarded: 0
% 0.22/0.63  stat_forward_subsumed: 6
% 0.22/0.63  stat_derived_cut: 5
% 0.22/0.63  stat_derived_rewritten: 0
% 0.22/0.63  stat_weight_discarded_building: 0
% 0.22/0.63  stat_weight_discarded_cl: 0
% 0.22/0.63  stat_internlimit_discarded_cl: 0
% 0.22/0.63  stat_simplified:  0 simplified 0 derived 0 given
% 0.22/0.63  stat_kept_cl: 148
% 0.22/0.63  stat_built_cl: 688
% 0.22/0.63  stat_hyperres_partial_cl: 0
% 0.22/0.63  stat_made_rewriters: 0
% 0.22/0.63  stat_backward_subsumed: 0
% 0.22/0.63  stat_propagated_subsumed: 0
% 0.22/0.63  stat_clsubs_attempted:                        19
% 0.22/0.63  stat_clsubs_fact_groundunit_found:            50
% 0.22/0.63  stat_clsubs_rule_groundunit_found:             0
% 0.22/0.63  stat_clsubs_top_meta_attempted:               2442
% 0.22/0.63  stat_clsubs_top_meta_failed:                  2423
% 0.22/0.63  stat_clsubs_top_meta_nonpref_attempted:                2442
% 0.22/0.63  stat_clsubs_top_meta_nonpref_succeeded:                 341
% 0.22/0.63  stat_clsubs_top_meta_pref_attempted:                    341
% 0.22/0.63  stat_clsubs_top_meta_pref1_succeeded:                    19
% 0.22/0.63  stat_clsubs_top_meta_pref2_succeeded:                    19
% 0.22/0.63  stat_clsubs_top_meta_pref3_succeeded:                    19
% 0.22/0.63  stat_clsubs_top_meta_pref_succeeded:                     19
% 0.22/0.63  stat_clsubs_meta_attempted:                  239
% 0.22/0.63  stat_clsubs_meta_failed:                     136
% 0.22/0.63  stat_clsubs_predsymbs_attempted:               0
% 0.22/0.63  stat_clsubs_unit_attempted:                    2
% 0.22/0.63  stat_clsubs_full_attempted:                   17
% 0.22/0.63  stat_forwardsubs_attempted:                  155
% 0.22/0.63  stat_lit_hash_added:                    674
% 0.22/0.63  stat_lit_hash_computed:                1682
% 0.22/0.63  stat_lit_hash_match_found:               61
% 0.22/0.63  stat_lit_hash_match_miss:              1385
% 0.22/0.63  stat_lit_hash_cut_ok:                     5
% 0.22/0.63  stat_lit_strong_cut_ok:                   0
% 0.22/0.63  stat_lit_hash_subsume_ok:                 6
% 0.22/0.63  clqueue els 10000000 used 1
% 0.22/0.63  clactive els 10000000 used 271
% 0.22/0.63  clactivesubsume els 10000000 used 199
% 0.22/0.63  queue_termbuf els 200000000 used 3989
% 0.22/0.63  hyper_termbuf els 100000000 used 1
% 0.22/0.63  active_termbuf els 100000000 used 3256
% 0.22/0.63  varstack els 5000 last used 1
% 0.22/0.63  given_termbuf els 10000000 last used 1
% 0.22/0.63  simplified_termbuf els 10000000 last used 1
% 0.22/0.63  derived_termbuf els 10000000 last used 22
% 0.22/0.63  wr_mallocs: 3720
% 0.22/0.63  wr_callocs: 21
% 0.22/0.63  wr_reallocs: 55
% 0.22/0.63  wr_frees: 4
% 0.22/0.63  wr_malloc_bytes: 4162725012
% 0.22/0.63  wr_calloc_bytes: 112065536
% 0.22/0.63  wr_realloc_bytes: 680952
% 0.22/0.63  wr_realloc_freebytes: 0
% 0.22/0.63  ----------------------------------
%------------------------------------------------------------------------------