TSTP Solution File: CSR115+37 by GKC---0.8

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : GKC---0.8
% Problem  : CSR115+37 : TPTP v8.1.2. Released v4.0.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : gkc %s

% Computer : n016.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 21:24:27 EDT 2023

% Result   : Theorem 0.21s 0.65s
% Output   : CNFRefutation 0.21s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.12/0.13  % Problem  : CSR115+37 : TPTP v8.1.2. Released v4.0.0.
% 0.12/0.14  % Command  : gkc %s
% 0.14/0.35  % Computer : n016.cluster.edu
% 0.14/0.35  % Model    : x86_64 x86_64
% 0.14/0.35  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.14/0.35  % Memory   : 8042.1875MB
% 0.14/0.35  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.14/0.35  % CPULimit : 300
% 0.14/0.35  % WCLimit  : 300
% 0.14/0.35  % DateTime : Mon Aug 28 08:02:14 EDT 2023
% 0.14/0.35  % CPUTime  : 
% 0.21/0.48  
% 0.21/0.48  input clause set summed statistics:
% 0.21/0.48  ----------------------------------
% 0.21/0.48  in_clause_count:                 10568
% 0.21/0.48  in_rule_clause_count:              336
% 0.21/0.48  in_fact_clause_count:            10232
% 0.21/0.48  in_answer_clause_count:              0
% 0.21/0.48  in_ground_clause_count:          10232
% 0.21/0.48  in_unit_clause_count:            10234
% 0.21/0.48  in_horn_clause_count:            10558
% 0.21/0.48  in_pos_clause_count:             10238
% 0.21/0.48  in_neg_clause_count:                11
% 0.21/0.48  in_poseq_clause_count:               0
% 0.21/0.48  in_negeq_clause_count:               0
% 0.21/0.48  in_unitposeq_clause_count:           0
% 0.21/0.48  in_chain_clause_count:               0
% 0.21/0.48  in_min_length:             1
% 0.21/0.48  in_max_length:            12
% 0.21/0.48  in_min_depth:              1
% 0.21/0.48  in_max_depth:              5
% 0.21/0.48  in_min_size:               3
% 0.21/0.48  in_max_size:              36
% 0.21/0.48  in_min_vars:               0
% 0.21/0.48  in_max_vars:               8
% 0.21/0.48  in_extaxiom_count:             10394
% 0.21/0.48  in_axiom_count:                    0
% 0.21/0.48  in_assumption_count:             173
% 0.21/0.48  in_goal_count:                     1
% 0.21/0.48  in_neg_goal_count:                 1
% 0.21/0.48  in_pos_goal_count:                 0
% 0.21/0.48  in_posunit_goal_count:             0
% 0.21/0.48  
% 0.21/0.48  auto guide:
% 0.21/0.48  -----------
% 0.21/0.48  {
% 0.21/0.48  "print":1,
% 0.21/0.48  "print_level": 15,
% 0.21/0.48  "max_size": 0,
% 0.21/0.48  "max_depth": 0,
% 0.21/0.48  "max_length": 0,
% 0.21/0.48  "max_dseconds": 0,
% 0.21/0.48  "equality":0,
% 0.21/0.48  "runs":[
% 0.21/0.48  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.48  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.48  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.48  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.48  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.21/0.48  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.21/0.48  {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.48  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.48  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.48  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.48  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.48  {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.21/0.48  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.48  {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.48  {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.48  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.21/0.48  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.21/0.48  {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.48  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.48  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.21/0.48  {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.48  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.48  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.48  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.48  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.48  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.48  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.21/0.48  
% 0.21/0.48  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.48  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.48  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.48  {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.48  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.21/0.48  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.21/0.48  {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.48  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.48  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.48  {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.48  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.48  {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.21/0.48  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.48  {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.48  {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.48  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.21/0.48  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.21/0.48  {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.48  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.48  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.21/0.48  {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.48  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.48  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.48  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.48  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.48  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.48  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.21/0.48  
% 0.21/0.48  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.48  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.48  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.48  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.48  {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.48  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.48  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.48  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.48  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.48  {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.21/0.48  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.48  {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.48  {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.48  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.21/0.48  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.21/0.48  {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.48  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.48  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.21/0.48  {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.48  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.48  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.48  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.48  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.48  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.48  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.21/0.48  
% 0.21/0.48  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.48  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.48  {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.48  {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.48  {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.48  
% 0.21/0.48  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.48  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.48  {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.48  {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.48  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.48  {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2} 
% 0.21/0.48  
% 0.21/0.48  ]}
% 0.21/0.48  
% 0.21/0.48  
% 0.21/0.48  **** run 1 fork 0 starts with strategy
% 0.21/0.48  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.21/0.48  
% 0.21/0.48  **** run 2 fork 1 starts with strategy
% 0.21/0.48  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.21/0.48  
% 0.21/0.48  **** run 3 fork 2 starts with strategy
% 0.21/0.48  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.21/0.48  
% 0.21/0.48  **** run 4 fork 3 starts with strategy
% 0.21/0.48  {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.21/0.48  
% 0.21/0.48  **** run 5 fork 4 starts with strategy
% 0.21/0.48  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.21/0.48  
% 0.21/0.48  **** run 6 fork 5 starts with strategy
% 0.21/0.48  {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.21/0.49  
% 0.21/0.49  **** run 7 fork 6 starts with strategy
% 0.21/0.49  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.21/0.49  
% 0.21/0.49  **** run 8 fork 7 starts with strategy
% 0.21/0.49  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.21/0.63  
% 0.21/0.63  fork 6: search finished without proof.
% 0.21/0.63  
% 0.21/0.63  fork 0: search finished without proof.
% 0.21/0.65  
% 0.21/0.65  fork 5: search finished without proof.
% 0.21/0.65  
% 0.21/0.65  
% 0.21/0.65  fork 3: search terminated without proof.
% 0.21/0.65  
% 0.21/0.65  **** run 15 fork 6 starts with strategy
% 0.21/0.65  {"max_dseconds":1,"strategy":["query_focus","max_ground_weight"],"query_preference":1}
% 0.21/0.65  
% 0.21/0.65  
% 0.21/0.65  result: proof found
% 0.21/0.65  for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.21/0.65  by run 8 fork 7 strategy {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.21/0.65  % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.21/0.65  
% 0.21/0.65  % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.21/0.65  fof('synth_qa07_007_mira_news_1229_$sk', plain, (~val(X8,X7) | (~val(X1,bmw_0) | (~val(X6,bmw_0) | (~temp(X2,X3) | (~sub(X8,jahr__1_1) | (~sub(X1,name_1_1) | (~sub(X5,firma_1_1) | (~sub(X6,name_1_1) | (~has_card_leq(X7,int1994) | (~attr(X3,X8) | (~attr(X4,X1) | ~attr(X5,X6)))))))))))),
% 0.21/0.65    inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1229'])).
% 0.21/0.65  fof('synth_qa07_007_mira_news_1229', conjecture, (? [X0,X1,X2,X3,X4,X5,X6,X7] : (((((((((((attr(X0,X1) & attr(X3,X2)) & attr(X5,X6)) & has_card_leq(X7,int1994)) & sub(X1,name_1_1)) & sub(X0,firma_1_1)) & sub(X2,name_1_1)) & sub(X6,jahr__1_1)) & temp(X4,X5)) & val(X1,bmw_0)) & val(X2,bmw_0)) & val(X6,X7))),
% 0.21/0.65    input). 
% 0.21/0.65  fof('$inc_has_card_eq_$sk', plain, (has_card_leq(X2,X1) | ~card(X2,X1)),
% 0.21/0.65    inference(negpush_and_skolemize,[],['$inc_has_card_eq'])).
% 0.21/0.65  fof('$inc_has_card_eq', axiom, (! [X0,X1] : (card(X0,X1) => has_card_leq(X0,X1))),
% 0.21/0.65    input). 
% 0.21/0.65  fof('ave07_era5_synth_qa07_007_mira_news_1229_$sk', plain, (varia(entwicklungstendenz_1_1,varia_c) & (refer(entwicklungstendenz_1_1,refer_c) & (quant(entwicklungstendenz_1_1,one) & (gener(entwicklungstendenz_1_1,ge) & (fact(entwicklungstendenz_1_1,real) & (etype(entwicklungstendenz_1_1,int0) & (card(entwicklungstendenz_1_1,int1) & (sort(entwicklungstendenz_1_1,io) & (varia(markt_1_1,varia_c) & (refer(markt_1_1,refer_c) & (quant(markt_1_1,one) & (gener(markt_1_1,ge) & (fact(markt_1_1,real) & (etype(markt_1_1,int0) & (card(markt_1_1,int1) & (sort(markt_1_1,d) & (sort(halb__1_1,tq) & (varia(sich_1_1,varia_c) & (refer(sich_1_1,refer_c) & (quant(sich_1_1,one) & (gener(sich_1_1,gener_c) & (fact(sich_1_1,real) & (etype(sich_1_1,int0) & (card(sich_1_1,int1) & (sort(sich_1_1,o) & (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(c94,varia_c) & (refer(c94,indet) & (quant(c94,one) & (gener(c94,sp) & (fact(c94,real) & (etype(c94,int0) & (card(c94,int1) & (sort(c94,na) & (gener(abkoppeln_1_1,ge) & (fact(abkoppeln_1_1,real) & (sort(abkoppeln_1_1,da) & (varia(c95,varia_c) & (refer(c95,refer_c) & (quant(c95,quant_c) & (gener(c95,sp) & (fact(c95,real) & (etype(c95,etype_c) & (card(c95,card_c) & (sort(c95,co) & (gener(k__366nnen_0,gener_c) & (fact(k__366nnen_0,real) & (sort(k__366nnen_0,md) & (varia(c93,con) & (refer(c93,det) & (quant(c93,one) & (gener(c93,sp) & (fact(c93,real) & (etype(c93,int0) & (card(c93,int1) & (sort(c93,io) & (sort(c93,d) & (gener(c111,sp) & (fact(c111,real) & (sort(c111,da) & (varia(markttrend_1_1,varia_c) & (refer(markttrend_1_1,refer_c) & (quant(markttrend_1_1,one) & (gener(markttrend_1_1,ge) & (fact(markttrend_1_1,real) & (etype(markttrend_1_1,int0) & (card(markttrend_1_1,int1) & (sort(markttrend_1_1,io) & (sort(r__374ckg__344ngig_1_1,nq) & (varia(c110,con) & (refer(c110,det) & (quant(c110,one) & (gener(c110,sp) & (fact(c110,real) & (etype(c110,int0) & (card(c110,int1) & (sort(c110,io) & (card(c102,int1994) & (sort(c102,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(c107,varia_c) & (refer(c107,refer_c) & (quant(c107,quant_c) & (gener(c107,sp) & (fact(c107,real) & (etype(c107,etype_c) & (card(c107,card_c) & (sort(c107,ta) & (sort(c107,oa) & (sort(c107,me) & (varia(halbjahr_1_1,varia_c) & (refer(halbjahr_1_1,refer_c) & (quant(halbjahr_1_1,one) & (gener(halbjahr_1_1,ge) & (fact(halbjahr_1_1,real) & (etype(halbjahr_1_1,int0) & (card(halbjahr_1_1,int1) & (sort(halbjahr_1_1,ta) & (card(erst_1_1,int1) & (sort(erst_1_1,oq) & (varia(c106,con) & (refer(c106,det) & (quant(c106,one) & (gener(c106,sp) & (fact(c106,real) & (etype(c106,int0) & (card(c106,int1) & (sort(c106,t) & (varia(c103,varia_c) & (refer(c103,refer_c) & (quant(c103,one) & (gener(c103,ge) & (fact(c103,real) & (etype(c103,int0) & (card(c103,int1) & (sort(c103,ta) & (varia(c100,con) & (refer(c100,det) & (quant(c100,one) & (gener(c100,sp) & (fact(c100,real) & (etype(c100,int0) & (card(c100,int1) & (sort(c100,ta) & (sub(markttrend_1_1,entwicklungstendenz_1_1) & (assoc(markttrend_1_1,markt_1_1) & (sub(halbjahr_1_1,jahr__1_1) & (assoc(halbjahr_1_1,halb__1_1) & (sub(c95,sich_1_1) & (val(c94,bmw_0) & (sub(c94,name_1_1) & (sub(c93,firma_1_1) & (attr(c93,c94) & (temp(c111,c100) & (subs(c111,abkoppeln_1_1) & (obj(c111,c95) & (modl(c111,k__366nnen_0) & (benf(c111,c93) & (sub(c110,markttrend_1_1) & (prop(c110,r__374ckg__344ngig_1_1) & (attch(c110,c100) & (val(c107,c102) & (sub(c107,jahr__1_1) & (attr(c106,c107) & (pmod(c103,erst_1_1,halbjahr_1_1) & (temp(c100,c106) & sub(c100,c103))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.21/0.65    inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1229'])).
% 0.21/0.65  fof('ave07_era5_synth_qa07_007_mira_news_1229', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((sub(c100,c103) & temp(c100,c106)) & pmod(c103,erst_1_1,halbjahr_1_1)) & attr(c106,c107)) & sub(c107,jahr__1_1)) & val(c107,c102)) & attch(c110,c100)) & prop(c110,r__374ckg__344ngig_1_1)) & sub(c110,markttrend_1_1)) & benf(c111,c93)) & modl(c111,k__366nnen_0)) & obj(c111,c95)) & subs(c111,abkoppeln_1_1)) & temp(c111,c100)) & attr(c93,c94)) & sub(c93,firma_1_1)) & sub(c94,name_1_1)) & val(c94,bmw_0)) & sub(c95,sich_1_1)) & assoc(halbjahr_1_1,halb__1_1)) & sub(halbjahr_1_1,jahr__1_1)) & assoc(markttrend_1_1,markt_1_1)) & sub(markttrend_1_1,entwicklungstendenz_1_1)) & sort(c100,ta)) & card(c100,int1)) & etype(c100,int0)) & fact(c100,real)) & gener(c100,sp)) & quant(c100,one)) & refer(c100,det)) & varia(c100,con)) & sort(c103,ta)) & card(c103,int1)) & etype(c103,int0)) & fact(c103,real)) & gener(c103,ge)) & quant(c103,one)) & refer(c103,refer_c)) & varia(c103,varia_c)) & sort(c106,t)) & card(c106,int1)) & etype(c106,int0)) & fact(c106,real)) & gener(c106,sp)) & quant(c106,one)) & refer(c106,det)) & varia(c106,con)) & sort(erst_1_1,oq)) & card(erst_1_1,int1)) & sort(halbjahr_1_1,ta)) & card(halbjahr_1_1,int1)) & etype(halbjahr_1_1,int0)) & fact(halbjahr_1_1,real)) & gener(halbjahr_1_1,ge)) & quant(halbjahr_1_1,one)) & refer(halbjahr_1_1,refer_c)) & varia(halbjahr_1_1,varia_c)) & sort(c107,me)) & sort(c107,oa)) & sort(c107,ta)) & card(c107,card_c)) & etype(c107,etype_c)) & fact(c107,real)) & gener(c107,sp)) & quant(c107,quant_c)) & refer(c107,refer_c)) & varia(c107,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(c102,nu)) & card(c102,int1994)) & sort(c110,io)) & card(c110,int1)) & etype(c110,int0)) & fact(c110,real)) & gener(c110,sp)) & quant(c110,one)) & refer(c110,det)) & varia(c110,con)) & sort(r__374ckg__344ngig_1_1,nq)) & sort(markttrend_1_1,io)) & card(markttrend_1_1,int1)) & etype(markttrend_1_1,int0)) & fact(markttrend_1_1,real)) & gener(markttrend_1_1,ge)) & quant(markttrend_1_1,one)) & refer(markttrend_1_1,refer_c)) & varia(markttrend_1_1,varia_c)) & sort(c111,da)) & fact(c111,real)) & gener(c111,sp)) & sort(c93,d)) & sort(c93,io)) & card(c93,int1)) & etype(c93,int0)) & fact(c93,real)) & gener(c93,sp)) & quant(c93,one)) & refer(c93,det)) & varia(c93,con)) & sort(k__366nnen_0,md)) & fact(k__366nnen_0,real)) & gener(k__366nnen_0,gener_c)) & sort(c95,co)) & card(c95,card_c)) & etype(c95,etype_c)) & fact(c95,real)) & gener(c95,sp)) & quant(c95,quant_c)) & refer(c95,refer_c)) & varia(c95,varia_c)) & sort(abkoppeln_1_1,da)) & fact(abkoppeln_1_1,real)) & gener(abkoppeln_1_1,ge)) & sort(c94,na)) & card(c94,int1)) & etype(c94,int0)) & fact(c94,real)) & gener(c94,sp)) & quant(c94,one)) & refer(c94,indet)) & varia(c94,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(sich_1_1,o)) & card(sich_1_1,int1)) & etype(sich_1_1,int0)) & fact(sich_1_1,real)) & gener(sich_1_1,gener_c)) & quant(sich_1_1,one)) & refer(sich_1_1,refer_c)) & varia(sich_1_1,varia_c)) & sort(halb__1_1,tq)) & sort(markt_1_1,d)) & card(markt_1_1,int1)) & etype(markt_1_1,int0)) & fact(markt_1_1,real)) & gener(markt_1_1,ge)) & quant(markt_1_1,one)) & refer(markt_1_1,refer_c)) & varia(markt_1_1,varia_c)) & sort(entwicklungstendenz_1_1,io)) & card(entwicklungstendenz_1_1,int1)) & etype(entwicklungstendenz_1_1,int0)) & fact(entwicklungstendenz_1_1,real)) & gener(entwicklungstendenz_1_1,ge)) & quant(entwicklungstendenz_1_1,one)) & refer(entwicklungstendenz_1_1,refer_c)) & varia(entwicklungstendenz_1_1,varia_c)),
% 0.21/0.65    input). 
% 0.21/0.65  cnf('1', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~val(Z,U) | ~attr(V,Y) | ~attr(W,X) | ~attr(X2006,Z) | ~temp(X2007,X2006) | ~sub(W,firma_1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1) | ~sub(Z,jahr__1_1) | ~has_card_leq(U,int1994)),
% 0.21/0.65    inference(cnf_transformation,[],['synth_qa07_007_mira_news_1229_$sk'])).
% 0.21/0.65  cnf('2', plain, (~val(X,Y) | ~val(Z,bmw_0) | ~attr(U,X) | ~attr(V,Z) | ~temp(W,U) | ~sub(V,firma_1_1) | ~sub(X,jahr__1_1) | ~sub(Z,name_1_1) | ~has_card_leq(Y,int1994)),
% 0.21/0.66    inference(factorization,[],['1'])).
% 0.21/0.66  cnf('3', plain, (~card(X,Y) | has_card_leq(X,Y)),
% 0.21/0.66    inference(cnf_transformation,[],['$inc_has_card_eq_$sk'])).
% 0.21/0.66  cnf('4', plain, (card(c102,int1994)),
% 0.21/0.66    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1229_$sk'])).
% 0.21/0.66  cnf('5', plain, (has_card_leq(c102,int1994)),
% 0.21/0.66    inference(resolution,[],['3','4'])).
% 0.21/0.66  cnf('6', plain, (~val(X,bmw_0) | ~val(Y,c102) | ~attr(Z,X) | ~attr(U,Y) | ~temp(V,U) | ~sub(Z,firma_1_1) | ~sub(X,name_1_1) | ~sub(Y,jahr__1_1)),
% 0.21/0.66    inference(resolution,[],['2','5'])).
% 0.21/0.66  cnf('7', plain, (val(c94,bmw_0)),
% 0.21/0.66    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1229_$sk'])).
% 0.21/0.66  cnf('8', plain, (sub(c94,name_1_1)),
% 0.21/0.66    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1229_$sk'])).
% 0.21/0.66  cnf('9', plain, (~val(X,c102) | ~attr(Y,X) | ~attr(Z,c94) | ~temp(U,Y) | ~sub(Z,firma_1_1) | ~sub(X,jahr__1_1)),
% 0.21/0.66    inference(resolution,[then_simplify],['6','7','8'])).
% 0.21/0.66  cnf('10', plain, (val(c107,c102)),
% 0.21/0.66    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1229_$sk'])).
% 0.21/0.66  cnf('11', plain, (sub(c107,jahr__1_1)),
% 0.21/0.66    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1229_$sk'])).
% 0.21/0.66  cnf('12', plain, (~attr(X,c94) | ~attr(Y,c107) | ~temp(Z,Y) | ~sub(X,firma_1_1)),
% 0.21/0.66    inference(resolution,[then_simplify],['9','10','11'])).
% 0.21/0.66  cnf('13', plain, (attr(c93,c94)),
% 0.21/0.66    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1229_$sk'])).
% 0.21/0.66  cnf('14', plain, (sub(c93,firma_1_1)),
% 0.21/0.66    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1229_$sk'])).
% 0.21/0.66  cnf('15', plain, (~attr(X,c107) | ~temp(Y,X)),
% 0.21/0.66    inference(resolution,[then_simplify],['12','13','14'])).
% 0.21/0.66  cnf('16', plain, (attr(c106,c107)),
% 0.21/0.66    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1229_$sk'])).
% 0.21/0.66  cnf('17', plain, (temp(c100,c106)),
% 0.21/0.66    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1229_$sk'])).
% 0.21/0.66  cnf('18', plain, ($false),
% 0.21/0.66    inference(resolution,[then_simplify],['15','16','17'])).
% 0.21/0.66  
% 0.21/0.66  % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.21/0.66  
% 0.21/0.66  run 8 fork 7 statistics:
% 0.21/0.66  ----------------------------------
% 0.21/0.66  this run seconds: 0.009973
% 0.21/0.66  total seconds: 0.049651
% 0.21/0.66  stat_given_used: 193
% 0.21/0.66  stat_given_used_at_endgame: 0
% 0.21/0.66  stat_given_candidates:   231
% 0.21/0.66  stat_given_candidates_at_endgame: 0
% 0.21/0.66  stat_given_candidates_h: 0
% 0.21/0.66  stat_binres_derived_cl:   71
% 0.21/0.66  stat_binres_derived_cl_h: 0
% 0.21/0.66  stat_factor_derived_cl: 13
% 0.21/0.66  stat_para_derived_cl: 0
% 0.21/0.66  stat_tautologies_discarded: 2
% 0.21/0.66  stat_forward_subsumed: 3
% 0.21/0.66  stat_derived_cut: 4
% 0.21/0.66  stat_derived_rewritten: 0
% 0.21/0.66  stat_weight_discarded_building: 0
% 0.21/0.66  stat_weight_discarded_cl: 0
% 0.21/0.66  stat_internlimit_discarded_cl: 0
% 0.21/0.66  stat_simplified:  0 simplified 0 derived 0 given
% 0.21/0.66  stat_kept_cl: 78
% 0.21/0.66  stat_built_cl: 464
% 0.21/0.66  stat_hyperres_partial_cl: 0
% 0.21/0.66  stat_made_rewriters: 0
% 0.21/0.66  stat_backward_subsumed: 0
% 0.21/0.66  stat_propagated_subsumed: 0
% 0.21/0.66  stat_clsubs_attempted:                       144
% 0.21/0.66  stat_clsubs_fact_groundunit_found:            38
% 0.21/0.66  stat_clsubs_rule_groundunit_found:             0
% 0.21/0.66  stat_clsubs_top_meta_attempted:               2817
% 0.21/0.66  stat_clsubs_top_meta_failed:                  2673
% 0.21/0.66  stat_clsubs_top_meta_nonpref_attempted:                2817
% 0.21/0.66  stat_clsubs_top_meta_nonpref_succeeded:                1283
% 0.21/0.66  stat_clsubs_top_meta_pref_attempted:                   1283
% 0.21/0.66  stat_clsubs_top_meta_pref1_succeeded:                   144
% 0.21/0.66  stat_clsubs_top_meta_pref2_succeeded:                   144
% 0.21/0.66  stat_clsubs_top_meta_pref3_succeeded:                   144
% 0.21/0.66  stat_clsubs_top_meta_pref_succeeded:                    144
% 0.21/0.66  stat_clsubs_meta_attempted:                  253
% 0.21/0.66  stat_clsubs_meta_failed:                     122
% 0.21/0.66  stat_clsubs_predsymbs_attempted:               0
% 0.21/0.66  stat_clsubs_unit_attempted:                   79
% 0.21/0.66  stat_clsubs_full_attempted:                   65
% 0.21/0.66  stat_forwardsubs_attempted:                   82
% 0.21/0.66  stat_lit_hash_added:                    298
% 0.21/0.66  stat_lit_hash_computed:                1144
% 0.21/0.66  stat_lit_hash_match_found:               44
% 0.21/0.66  stat_lit_hash_match_miss:              1211
% 0.21/0.66  stat_lit_hash_cut_ok:                     3
% 0.21/0.66  stat_lit_strong_cut_ok:                   1
% 0.21/0.66  stat_lit_hash_subsume_ok:                 3
% 0.21/0.66  clqueue els 10000000 used 1
% 0.21/0.66  clactive els 10000000 used 194
% 0.21/0.66  clactivesubsume els 10000000 used 433
% 0.21/0.66  queue_termbuf els 200000000 used 3514
% 0.21/0.66  hyper_termbuf els 100000000 used 1
% 0.21/0.66  active_termbuf els 100000000 used 3758
% 0.21/0.66  varstack els 5000 last used 1
% 0.21/0.66  given_termbuf els 10000000 last used 1
% 0.21/0.66  simplified_termbuf els 10000000 last used 1
% 0.21/0.66  derived_termbuf els 10000000 last used 22
% 0.21/0.66  wr_mallocs: 1708
% 0.21/0.66  wr_callocs: 21
% 0.21/0.66  wr_reallocs: 27
% 0.21/0.66  wr_frees: 4
% 0.21/0.66  wr_malloc_bytes: 4162653748
% 0.21/0.66  wr_calloc_bytes: 112065536
% 0.21/0.66  wr_realloc_bytes: 658984
% 0.21/0.66  wr_realloc_freebytes: 0
% 0.21/0.66  ----------------------------------
%------------------------------------------------------------------------------