TSTP Solution File: CSR115+76 by GKC---0.8

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : GKC---0.8
% Problem  : CSR115+76 : TPTP v8.1.2. Released v4.0.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : gkc %s

% Computer : n019.cluster.edu
% Model    : x86_64 x86_64
% CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory   : 8042.1875MB
% OS       : Linux 3.10.0-693.el7.x86_64
% CPULimit : 300s
% WCLimit  : 300s
% DateTime : Wed Aug 30 21:24:37 EDT 2023

% Result   : Theorem 0.24s 0.80s
% Output   : CNFRefutation 0.24s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.15  % Problem  : CSR115+76 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.16  % Command  : gkc %s
% 0.15/0.40  % Computer : n019.cluster.edu
% 0.15/0.40  % Model    : x86_64 x86_64
% 0.15/0.40  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.15/0.40  % Memory   : 8042.1875MB
% 0.15/0.40  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.15/0.40  % CPULimit : 300
% 0.15/0.40  % WCLimit  : 300
% 0.15/0.40  % DateTime : Mon Aug 28 10:01:28 EDT 2023
% 0.15/0.40  % CPUTime  : 
% 0.24/0.52  
% 0.24/0.52  input clause set summed statistics:
% 0.24/0.52  ----------------------------------
% 0.24/0.52  in_clause_count:                 10592
% 0.24/0.52  in_rule_clause_count:              337
% 0.24/0.52  in_fact_clause_count:            10255
% 0.24/0.52  in_answer_clause_count:              0
% 0.24/0.52  in_ground_clause_count:          10256
% 0.24/0.52  in_unit_clause_count:            10258
% 0.24/0.52  in_horn_clause_count:            10582
% 0.24/0.52  in_pos_clause_count:             10262
% 0.24/0.52  in_neg_clause_count:                11
% 0.24/0.52  in_poseq_clause_count:               0
% 0.24/0.52  in_negeq_clause_count:               0
% 0.24/0.52  in_unitposeq_clause_count:           0
% 0.24/0.52  in_chain_clause_count:               0
% 0.24/0.52  in_min_length:             1
% 0.24/0.52  in_max_length:            11
% 0.24/0.52  in_min_depth:              1
% 0.24/0.52  in_max_depth:              5
% 0.24/0.52  in_min_size:               3
% 0.24/0.52  in_max_size:              33
% 0.24/0.52  in_min_vars:               0
% 0.24/0.52  in_max_vars:               7
% 0.24/0.52  in_extaxiom_count:             10394
% 0.24/0.52  in_axiom_count:                    0
% 0.24/0.52  in_assumption_count:             197
% 0.24/0.52  in_goal_count:                     1
% 0.24/0.52  in_neg_goal_count:                 1
% 0.24/0.52  in_pos_goal_count:                 0
% 0.24/0.52  in_posunit_goal_count:             0
% 0.24/0.52  
% 0.24/0.52  auto guide:
% 0.24/0.52  -----------
% 0.24/0.52  {
% 0.24/0.52  "print":1,
% 0.24/0.52  "print_level": 15,
% 0.24/0.52  "max_size": 0,
% 0.24/0.52  "max_depth": 0,
% 0.24/0.52  "max_length": 0,
% 0.24/0.52  "max_dseconds": 0,
% 0.24/0.52  "equality":0,
% 0.24/0.52  "runs":[
% 0.24/0.52  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.24/0.52  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.24/0.52  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.24/0.52  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.24/0.52  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.24/0.52  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.24/0.52  {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.24/0.52  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.24/0.52  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.24/0.52  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.24/0.52  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.24/0.52  {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.24/0.52  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.24/0.52  {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.24/0.52  {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.24/0.52  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.24/0.52  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.24/0.52  {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.24/0.52  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.24/0.52  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.24/0.52  {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.24/0.52  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.24/0.52  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.24/0.52  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.24/0.52  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.24/0.52  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.24/0.52  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.24/0.52  
% 0.24/0.52  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.24/0.52  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.24/0.52  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.24/0.52  {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.24/0.52  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.24/0.52  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.24/0.52  {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.24/0.52  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.24/0.52  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.24/0.52  {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.24/0.52  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.24/0.52  {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.24/0.52  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.24/0.52  {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.24/0.52  {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.24/0.52  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.24/0.52  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.24/0.52  {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.24/0.52  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.24/0.52  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.24/0.52  {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.24/0.52  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.24/0.52  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.24/0.52  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.24/0.52  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.24/0.52  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.24/0.52  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.24/0.52  
% 0.24/0.52  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.24/0.52  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.24/0.52  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.24/0.52  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.24/0.52  {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.24/0.52  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.24/0.52  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.24/0.52  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.24/0.52  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.24/0.52  {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.24/0.52  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.24/0.52  {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.24/0.52  {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.24/0.52  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.24/0.52  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.24/0.52  {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.24/0.52  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.24/0.52  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.24/0.52  {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.24/0.52  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.24/0.52  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.24/0.52  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.24/0.52  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.24/0.52  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.24/0.52  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.24/0.52  
% 0.24/0.52  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.24/0.52  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.24/0.52  {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.24/0.52  {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.24/0.52  {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.24/0.52  
% 0.24/0.52  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.24/0.52  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.24/0.52  {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.24/0.52  {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.24/0.52  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.24/0.52  {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2} 
% 0.24/0.52  
% 0.24/0.52  ]}
% 0.24/0.52  
% 0.24/0.52  
% 0.24/0.52  **** run 1 fork 0 starts with strategy
% 0.24/0.52  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.24/0.52  
% 0.24/0.52  **** run 2 fork 1 starts with strategy
% 0.24/0.52  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.24/0.52  
% 0.24/0.52  **** run 3 fork 2 starts with strategy
% 0.24/0.52  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.24/0.52  
% 0.24/0.52  **** run 4 fork 3 starts with strategy
% 0.24/0.52  {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.24/0.52  
% 0.24/0.52  **** run 5 fork 4 starts with strategy
% 0.24/0.52  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.24/0.52  
% 0.24/0.52  **** run 6 fork 5 starts with strategy
% 0.24/0.52  {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.24/0.52  
% 0.24/0.52  **** run 7 fork 6 starts with strategy
% 0.24/0.52  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.24/0.52  
% 0.24/0.52  **** run 8 fork 7 starts with strategy
% 0.24/0.52  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.24/0.65  
% 0.24/0.65  fork 7: search finished without proof.
% 0.24/0.65  
% 0.24/0.65  fork 6: search finished without proof.
% 0.24/0.67  
% 0.24/0.67  **** run 16 fork 7 starts with strategy
% 0.24/0.67  {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.24/0.67  
% 0.24/0.67  fork 5: search finished without proof.
% 0.24/0.67  
% 0.24/0.67  fork 0: search finished without proof.
% 0.24/0.67  
% 0.24/0.67  fork 3: search finished without proof.
% 0.24/0.68  
% 0.24/0.68  **** run 15 fork 6 starts with strategy
% 0.24/0.68  {"max_dseconds":1,"strategy":["query_focus","max_ground_weight"],"query_preference":1}
% 0.24/0.73  
% 0.24/0.73  **** run 14 fork 5 starts with strategy
% 0.24/0.73  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1}
% 0.24/0.73  
% 0.24/0.73  **** run 12 fork 3 starts with strategy
% 0.24/0.73  {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":0}
% 0.24/0.73  
% 0.24/0.73  **** run 9 fork 0 starts with strategy
% 0.24/0.73  {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":0,"sine":5}
% 0.24/0.80  
% 0.24/0.80  
% 0.24/0.80  result: proof found
% 0.24/0.80  for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% 0.24/0.80  by run 2 fork 1 strategy {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.24/0.80  % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% 0.24/0.80  
% 0.24/0.80  % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% 0.24/0.80  fof('ave07_era5_synth_qa07_007_mira_wp_486_$sk', plain, (varia(fahrer__1_1,varia_c) & (refer(fahrer__1_1,refer_c) & (quant(fahrer__1_1,one) & (gener(fahrer__1_1,ge) & (fact(fahrer__1_1,real) & (etype(fahrer__1_1,int0) & (card(fahrer__1_1,int1) & (sort(fahrer__1_1,d) & (varia(kunstwerk_1_1,varia_c) & (refer(kunstwerk_1_1,refer_c) & (quant(kunstwerk_1_1,quant_c) & (gener(kunstwerk_1_1,ge) & (fact(kunstwerk_1_1,real) & (etype(kunstwerk_1_1,int1) & (card(kunstwerk_1_1,card_c) & (sort(kunstwerk_1_1,io) & (varia(erfolg__1_1,varia_c) & (refer(erfolg__1_1,refer_c) & (quant(erfolg__1_1,one) & (gener(erfolg__1_1,ge) & (fact(erfolg__1_1,real) & (etype(erfolg__1_1,int0) & (card(erfolg__1_1,int1) & (sort(erfolg__1_1,as) & (gener(rennen_1_1,ge) & (fact(rennen_1_1,real) & (sort(rennen_1_1,da) & (gener(werden_1_1,ge) & (fact(werden_1_1,real) & (sort(werden_1_1,dn) & (sort(weit_1_1,mq) & (varia(rennerfolg_1_1,varia_c) & (refer(rennerfolg_1_1,refer_c) & (quant(rennerfolg_1_1,one) & (gener(rennerfolg_1_1,ge) & (fact(rennerfolg_1_1,real) & (etype(rennerfolg_1_1,int0) & (card(rennerfolg_1_1,int1) & (sort(rennerfolg_1_1,as) & (varia(c6,varia_c) & (refer(c6,refer_c) & (quant(c6,mult) & (gener(c6,gener_c) & (fact(c6,real) & (etype(c6,int1) & (card(c6,cons(x_constant,cons(int1,nil))) & (sort(c6,as) & (gener(prop_0,gener_c) & (fact(prop_0,real) & (sort(prop_0,st) & (gener(c500,sp) & (fact(c500,real) & (sort(c500,st) & (gener(fahren_1_2,ge) & (fact(fahren_1_2,real) & (sort(fahren_1_2,da) & (gener(c498,sp) & (fact(c498,real) & (sort(c498,da) & (gener(rprs_0,gener_c) & (fact(rprs_0,real) & (sort(rprs_0,st) & (varia(werksfahrer_1_1,varia_c) & (refer(werksfahrer_1_1,refer_c) & (quant(werksfahrer_1_1,one) & (gener(werksfahrer_1_1,ge) & (fact(werksfahrer_1_1,real) & (etype(werksfahrer_1_1,int0) & (card(werksfahrer_1_1,int1) & (sort(werksfahrer_1_1,d) & (varia(c493,varia_c) & (refer(c493,indet) & (quant(c493,one) & (gener(c493,sp) & (fact(c493,real) & (etype(c493,int0) & (card(c493,int1) & (sort(c493,d) & (card(c486,int1926) & (sort(c486,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(c491,varia_c) & (refer(c491,refer_c) & (quant(c491,quant_c) & (gener(c491,sp) & (fact(c491,real) & (etype(c491,etype_c) & (card(c491,card_c) & (sort(c491,ta) & (sort(c491,oa) & (sort(c491,me) & (varia(c490,con) & (refer(c490,det) & (quant(c490,one) & (gener(c490,sp) & (fact(c490,real) & (etype(c490,int0) & (card(c490,int1) & (sort(c490,t) & (gener(verpflichten_2_2,ge) & (fact(verpflichten_2_2,real) & (sort(verpflichten_2_2,da) & (gener(c8,sp) & (fact(c8,real) & (sort(c8,dn) & (gener(c497,sp) & (fact(c497,real) & (sort(c497,st) & (varia(c403,varia_c) & (refer(c403,det) & (quant(c403,one) & (gener(c403,sp) & (fact(c403,real) & (etype(c403,int0) & (card(c403,int1) & (sort(c403,o) & (gener(c410,sp) & (fact(c410,real) & (sort(c410,da) & (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) & (sort(aufmerksam_1_1,nq) & (varia(c402,varia_c) & (refer(c402,indet) & (quant(c402,one) & (gener(c402,sp) & (fact(c402,real) & (etype(c402,int0) & (card(c402,int1) & (sort(c402,na) & (varia(c401,con) & (refer(c401,det) & (quant(c401,one) & (gener(c401,sp) & (fact(c401,real) & (etype(c401,int0) & (card(c401,int1) & (sort(c401,io) & (sort(c401,d) & (sub(werksfahrer_1_1,fahrer__1_1) & (assoc(werksfahrer_1_1,kunstwerk_1_1) & (subs(rennerfolg_1_1,erfolg__1_1) & (assoc(rennerfolg_1_1,rennen_1_1) & (subs(c8,werden_1_1) & (rslt(c8,c500) & (dur(c8,c403) & (prop(c6,weit_1_1) & (preds(c6,rennerfolg_1_1) & (ante(c6,c8) & (subr(c500,prop_0) & (arg2(c500,aufmerksam_1_1) & (arg1(c500,c401) & (subs(c498,fahren_1_2) & (agt(c498,c493) & (subr(c497,rprs_0) & (arg2(c497,c493) & (arg1(c497,c403) & (sub(c493,werksfahrer_1_1) & (val(c491,c486) & (sub(c491,jahr__1_1) & (attr(c490,c491) & (temp(c410,c490) & (subs(c410,verpflichten_2_2) & (semrel(c410,c8) & (rslt(c410,c497) & (obj(c410,c403) & (agt(c410,c401) & (val(c402,bmw_0) & (sub(c402,name_1_1) & (sub(c401,firma_1_1) & (prop(c401,aufmerksam_1_1) & attr(c401,c402))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.24/0.80    inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_wp_486'])).
% 0.24/0.80  fof('ave07_era5_synth_qa07_007_mira_wp_486', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((attr(c401,c402) & prop(c401,aufmerksam_1_1)) & sub(c401,firma_1_1)) & sub(c402,name_1_1)) & val(c402,bmw_0)) & agt(c410,c401)) & obj(c410,c403)) & rslt(c410,c497)) & semrel(c410,c8)) & subs(c410,verpflichten_2_2)) & temp(c410,c490)) & attr(c490,c491)) & sub(c491,jahr__1_1)) & val(c491,c486)) & sub(c493,werksfahrer_1_1)) & arg1(c497,c403)) & arg2(c497,c493)) & subr(c497,rprs_0)) & agt(c498,c493)) & subs(c498,fahren_1_2)) & arg1(c500,c401)) & arg2(c500,aufmerksam_1_1)) & subr(c500,prop_0)) & ante(c6,c8)) & preds(c6,rennerfolg_1_1)) & prop(c6,weit_1_1)) & dur(c8,c403)) & rslt(c8,c500)) & subs(c8,werden_1_1)) & assoc(rennerfolg_1_1,rennen_1_1)) & subs(rennerfolg_1_1,erfolg__1_1)) & assoc(werksfahrer_1_1,kunstwerk_1_1)) & sub(werksfahrer_1_1,fahrer__1_1)) & sort(c401,d)) & sort(c401,io)) & card(c401,int1)) & etype(c401,int0)) & fact(c401,real)) & gener(c401,sp)) & quant(c401,one)) & refer(c401,det)) & varia(c401,con)) & sort(c402,na)) & card(c402,int1)) & etype(c402,int0)) & fact(c402,real)) & gener(c402,sp)) & quant(c402,one)) & refer(c402,indet)) & varia(c402,varia_c)) & sort(aufmerksam_1_1,nq)) & 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(c410,da)) & fact(c410,real)) & gener(c410,sp)) & sort(c403,o)) & card(c403,int1)) & etype(c403,int0)) & fact(c403,real)) & gener(c403,sp)) & quant(c403,one)) & refer(c403,det)) & varia(c403,varia_c)) & sort(c497,st)) & fact(c497,real)) & gener(c497,sp)) & sort(c8,dn)) & fact(c8,real)) & gener(c8,sp)) & sort(verpflichten_2_2,da)) & fact(verpflichten_2_2,real)) & gener(verpflichten_2_2,ge)) & sort(c490,t)) & card(c490,int1)) & etype(c490,int0)) & fact(c490,real)) & gener(c490,sp)) & quant(c490,one)) & refer(c490,det)) & varia(c490,con)) & sort(c491,me)) & sort(c491,oa)) & sort(c491,ta)) & card(c491,card_c)) & etype(c491,etype_c)) & fact(c491,real)) & gener(c491,sp)) & quant(c491,quant_c)) & refer(c491,refer_c)) & varia(c491,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(c486,nu)) & card(c486,int1926)) & sort(c493,d)) & card(c493,int1)) & etype(c493,int0)) & fact(c493,real)) & gener(c493,sp)) & quant(c493,one)) & refer(c493,indet)) & varia(c493,varia_c)) & sort(werksfahrer_1_1,d)) & card(werksfahrer_1_1,int1)) & etype(werksfahrer_1_1,int0)) & fact(werksfahrer_1_1,real)) & gener(werksfahrer_1_1,ge)) & quant(werksfahrer_1_1,one)) & refer(werksfahrer_1_1,refer_c)) & varia(werksfahrer_1_1,varia_c)) & sort(rprs_0,st)) & fact(rprs_0,real)) & gener(rprs_0,gener_c)) & sort(c498,da)) & fact(c498,real)) & gener(c498,sp)) & sort(fahren_1_2,da)) & fact(fahren_1_2,real)) & gener(fahren_1_2,ge)) & sort(c500,st)) & fact(c500,real)) & gener(c500,sp)) & sort(prop_0,st)) & fact(prop_0,real)) & gener(prop_0,gener_c)) & sort(c6,as)) & card(c6,cons(x_constant,cons(int1,nil)))) & etype(c6,int1)) & fact(c6,real)) & gener(c6,gener_c)) & quant(c6,mult)) & refer(c6,refer_c)) & varia(c6,varia_c)) & sort(rennerfolg_1_1,as)) & card(rennerfolg_1_1,int1)) & etype(rennerfolg_1_1,int0)) & fact(rennerfolg_1_1,real)) & gener(rennerfolg_1_1,ge)) & quant(rennerfolg_1_1,one)) & refer(rennerfolg_1_1,refer_c)) & varia(rennerfolg_1_1,varia_c)) & sort(weit_1_1,mq)) & sort(werden_1_1,dn)) & fact(werden_1_1,real)) & gener(werden_1_1,ge)) & sort(rennen_1_1,da)) & fact(rennen_1_1,real)) & gener(rennen_1_1,ge)) & sort(erfolg__1_1,as)) & card(erfolg__1_1,int1)) & etype(erfolg__1_1,int0)) & fact(erfolg__1_1,real)) & gener(erfolg__1_1,ge)) & quant(erfolg__1_1,one)) & refer(erfolg__1_1,refer_c)) & varia(erfolg__1_1,varia_c)) & sort(kunstwerk_1_1,io)) & card(kunstwerk_1_1,card_c)) & etype(kunstwerk_1_1,int1)) & fact(kunstwerk_1_1,real)) & gener(kunstwerk_1_1,ge)) & quant(kunstwerk_1_1,quant_c)) & refer(kunstwerk_1_1,refer_c)) & varia(kunstwerk_1_1,varia_c)) & sort(fahrer__1_1,d)) & card(fahrer__1_1,int1)) & etype(fahrer__1_1,int0)) & fact(fahrer__1_1,real)) & gener(fahrer__1_1,ge)) & quant(fahrer__1_1,one)) & refer(fahrer__1_1,refer_c)) & varia(fahrer__1_1,varia_c)),
% 0.24/0.80    input). 
% 0.24/0.80  fof('synth_qa07_007_mira_wp_486_$sk', plain, (~val(X7,bmw_0) | (~val(X1,bmw_0) | (~temp(X6,X5) | (~sub(X2,jahr__1_1) | (~sub(X7,name_1_1) | (~sub(X3,firma_1_1) | (~sub(X1,name_1_1) | (~attr(X5,X2) | (~attr(X4,X7) | (~attr(X3,X1) | ~agt(X6,X4))))))))))),
% 0.24/0.80    inference(negpush_and_skolemize,[],['synth_qa07_007_mira_wp_486'])).
% 0.24/0.80  fof('synth_qa07_007_mira_wp_486', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : ((((((((((agt(X4,X3) & attr(X0,X1)) & attr(X3,X2)) & attr(X5,X6)) & 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))),
% 0.24/0.80    input). 
% 0.24/0.80  cnf('1', plain, (attr(c401,c402)),
% 0.24/0.80    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_486_$sk'])).
% 0.24/0.80  cnf('2', plain, (sub(c401,firma_1_1)),
% 0.24/0.80    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_486_$sk'])).
% 0.24/0.80  cnf('3', plain, (temp(c410,c490)),
% 0.24/0.80    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_486_$sk'])).
% 0.24/0.80  cnf('4', plain, (attr(c490,c491)),
% 0.24/0.80    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_486_$sk'])).
% 0.24/0.80  cnf('5', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(U,X) | ~attr(V,W) | ~agt(X2006,Z) | ~temp(X2006,V) | ~sub(U,firma_1_1) | ~sub(W,jahr__1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 0.24/0.80    inference(cnf_transformation,[],['synth_qa07_007_mira_wp_486_$sk'])).
% 0.24/0.80  cnf('6', plain, (~val(X,bmw_0) | ~attr(Y,Z) | ~attr(U,X) | ~attr(V,X) | ~agt(W,V) | ~temp(W,Y) | ~sub(Z,jahr__1_1) | ~sub(U,firma_1_1) | ~sub(X,name_1_1)),
% 0.24/0.80    inference(factorization,[],['5'])).
% 0.24/0.80  cnf('7', plain, (sub(c491,jahr__1_1)),
% 0.24/0.80    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_486_$sk'])).
% 0.24/0.80  cnf('8', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,X) | ~agt(U,Y) | ~temp(U,c490) | ~sub(Z,firma_1_1) | ~sub(X,name_1_1)),
% 0.24/0.80    inference(resolution,[then_simplify],['4','6','7'])).
% 0.24/0.80  cnf('9', plain, (~agt(c410,X) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(X,Y) | ~sub(Z,firma_1_1) | ~sub(Y,name_1_1)),
% 0.24/0.80    inference(resolution,[],['3','8'])).
% 0.24/0.80  cnf('10', plain, (~attr(c401,X) | ~agt(c410,Y) | ~val(X,bmw_0) | ~attr(Y,X) | ~sub(X,name_1_1)),
% 0.24/0.80    inference(resolution,[],['2','9'])).
% 0.24/0.80  cnf('11', plain, (attr(c401,c402)),
% 0.24/0.80    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_486_$sk'])).
% 0.24/0.80  cnf('12', plain, (agt(c410,c401)),
% 0.24/0.80    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_486_$sk'])).
% 0.24/0.80  cnf('13', plain, (val(c402,bmw_0)),
% 0.24/0.80    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_486_$sk'])).
% 0.24/0.80  cnf('14', plain, (sub(c402,name_1_1)),
% 0.24/0.80    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_486_$sk'])).
% 0.24/0.80  cnf('15', plain, ($false),
% 0.24/0.80    inference(resolution,[then_simplify],['1','10','11','12','13','14'])).
% 0.24/0.80  
% 0.24/0.80  % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% 0.24/0.80  
% 0.24/0.80  run 2 fork 1 statistics:
% 0.24/0.80  ----------------------------------
% 0.24/0.80  this run seconds: 0.016365
% 0.24/0.80  total seconds: 0.078815
% 0.24/0.80  stat_given_used: 144
% 0.24/0.80  stat_given_used_at_endgame: 0
% 0.24/0.80  stat_given_candidates:   186
% 0.24/0.80  stat_given_candidates_at_endgame: 0
% 0.24/0.80  stat_given_candidates_h: 0
% 0.24/0.80  stat_binres_derived_cl:   552
% 0.24/0.80  stat_binres_derived_cl_h: 0
% 0.24/0.80  stat_factor_derived_cl: 3
% 0.24/0.80  stat_para_derived_cl: 0
% 0.24/0.80  stat_tautologies_discarded: 0
% 0.24/0.80  stat_forward_subsumed: 8
% 0.24/0.80  stat_derived_cut: 13
% 0.24/0.80  stat_derived_rewritten: 0
% 0.24/0.80  stat_weight_discarded_building: 0
% 0.24/0.80  stat_weight_discarded_cl: 0
% 0.24/0.80  stat_internlimit_discarded_cl: 0
% 0.24/0.80  stat_simplified:  0 simplified 0 derived 0 given
% 0.24/0.80  stat_kept_cl: 546
% 0.24/0.80  stat_built_cl: 21622
% 0.24/0.80  stat_hyperres_partial_cl: 0
% 0.24/0.80  stat_made_rewriters: 0
% 0.24/0.80  stat_backward_subsumed: 0
% 0.24/0.80  stat_propagated_subsumed: 0
% 0.24/0.80  stat_clsubs_attempted:                        40
% 0.24/0.80  stat_clsubs_fact_groundunit_found:            26
% 0.24/0.80  stat_clsubs_rule_groundunit_found:             0
% 0.24/0.80  stat_clsubs_top_meta_attempted:                493
% 0.24/0.80  stat_clsubs_top_meta_failed:                   453
% 0.24/0.80  stat_clsubs_top_meta_nonpref_attempted:                 493
% 0.24/0.80  stat_clsubs_top_meta_nonpref_succeeded:                  64
% 0.24/0.80  stat_clsubs_top_meta_pref_attempted:                     64
% 0.24/0.80  stat_clsubs_top_meta_pref1_succeeded:                    56
% 0.24/0.80  stat_clsubs_top_meta_pref2_succeeded:                    40
% 0.24/0.80  stat_clsubs_top_meta_pref3_succeeded:                    40
% 0.24/0.80  stat_clsubs_top_meta_pref_succeeded:                     40
% 0.24/0.80  stat_clsubs_meta_attempted:                  990
% 0.24/0.80  stat_clsubs_meta_failed:                     598
% 0.24/0.80  stat_clsubs_predsymbs_attempted:               0
% 0.24/0.80  stat_clsubs_unit_attempted:                    0
% 0.24/0.80  stat_clsubs_full_attempted:                   40
% 0.24/0.80  stat_forwardsubs_attempted:                  555
% 0.24/0.80  stat_lit_hash_added:                  21010
% 0.24/0.80  stat_lit_hash_computed:               24609
% 0.24/0.80  stat_lit_hash_match_found:               50
% 0.24/0.80  stat_lit_hash_match_miss:              5333
% 0.24/0.80  stat_lit_hash_cut_ok:                    16
% 0.24/0.80  stat_lit_strong_cut_ok:                   0
% 0.24/0.80  stat_lit_hash_subsume_ok:                 8
% 0.24/0.80  clqueue els 10000000 used 1
% 0.24/0.80  clactive els 10000000 used 10539
% 0.24/0.80  clactivesubsume els 10000000 used 73
% 0.24/0.80  queue_termbuf els 200000000 used 24643
% 0.24/0.80  hyper_termbuf els 100000000 used 1
% 0.24/0.80  active_termbuf els 100000000 used 87298
% 0.24/0.80  varstack els 5000 last used 1
% 0.24/0.80  given_termbuf els 10000000 last used 1
% 0.24/0.80  simplified_termbuf els 10000000 last used 1
% 0.24/0.80  derived_termbuf els 10000000 last used 52
% 0.24/0.80  wr_mallocs: 119563
% 0.24/0.80  wr_callocs: 21
% 0.24/0.80  wr_reallocs: 249
% 0.24/0.80  wr_frees: 2
% 0.24/0.80  wr_malloc_bytes: 4166737204
% 0.24/0.80  wr_calloc_bytes: 112065536
% 0.24/0.80  wr_realloc_bytes: 682808
% 0.24/0.80  wr_realloc_freebytes: 0
% 0.24/0.80  ----------------------------------
%------------------------------------------------------------------------------