TSTP Solution File: CSR115+85 by GKC---0.8

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : GKC---0.8
% Problem  : CSR115+85 : TPTP v8.1.2. Released v4.0.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : gkc %s

% Computer : n005.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 21:24:39 EDT 2023

% Result   : Theorem 0.20s 0.57s
% Output   : CNFRefutation 0.20s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.11/0.12  % Problem  : CSR115+85 : TPTP v8.1.2. Released v4.0.0.
% 0.11/0.13  % Command  : gkc %s
% 0.13/0.34  % Computer : n005.cluster.edu
% 0.13/0.34  % Model    : x86_64 x86_64
% 0.13/0.34  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.34  % Memory   : 8042.1875MB
% 0.13/0.34  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.13/0.34  % CPULimit : 300
% 0.13/0.34  % WCLimit  : 300
% 0.13/0.34  % DateTime : Mon Aug 28 12:47:07 EDT 2023
% 0.13/0.34  % CPUTime  : 
% 0.20/0.46  
% 0.20/0.46  input clause set summed statistics:
% 0.20/0.46  ----------------------------------
% 0.20/0.46  in_clause_count:                 10622
% 0.20/0.46  in_rule_clause_count:              337
% 0.20/0.46  in_fact_clause_count:            10285
% 0.20/0.46  in_answer_clause_count:              0
% 0.20/0.46  in_ground_clause_count:          10286
% 0.20/0.46  in_unit_clause_count:            10288
% 0.20/0.46  in_horn_clause_count:            10612
% 0.20/0.46  in_pos_clause_count:             10292
% 0.20/0.46  in_neg_clause_count:                11
% 0.20/0.46  in_poseq_clause_count:               0
% 0.20/0.46  in_negeq_clause_count:               0
% 0.20/0.46  in_unitposeq_clause_count:           0
% 0.20/0.46  in_chain_clause_count:               0
% 0.20/0.46  in_min_length:             1
% 0.20/0.46  in_max_length:            10
% 0.20/0.46  in_min_depth:              1
% 0.20/0.46  in_max_depth:              5
% 0.20/0.46  in_min_size:               3
% 0.20/0.46  in_max_size:              30
% 0.20/0.46  in_min_vars:               0
% 0.20/0.46  in_max_vars:               7
% 0.20/0.46  in_extaxiom_count:             10394
% 0.20/0.46  in_axiom_count:                    0
% 0.20/0.46  in_assumption_count:             227
% 0.20/0.46  in_goal_count:                     1
% 0.20/0.46  in_neg_goal_count:                 1
% 0.20/0.46  in_pos_goal_count:                 0
% 0.20/0.46  in_posunit_goal_count:             0
% 0.20/0.46  
% 0.20/0.46  auto guide:
% 0.20/0.46  -----------
% 0.20/0.46  {
% 0.20/0.46  "print":1,
% 0.20/0.46  "print_level": 15,
% 0.20/0.46  "max_size": 0,
% 0.20/0.46  "max_depth": 0,
% 0.20/0.46  "max_length": 0,
% 0.20/0.46  "max_dseconds": 0,
% 0.20/0.46  "equality":0,
% 0.20/0.46  "runs":[
% 0.20/0.46  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.46  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.46  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.46  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.46  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.46  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.46  {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.46  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.46  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.46  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.46  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.46  {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.20/0.46  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.46  {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.46  {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.46  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.46  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.20/0.46  {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.46  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.46  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.46  {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.46  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.46  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.46  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.46  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.46  
% 0.20/0.46  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.46  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.46  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.46  {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.46  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.46  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.46  {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.46  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.46  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.46  {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.46  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.46  {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.20/0.46  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.46  {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.46  {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.46  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.46  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.20/0.46  {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.46  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.46  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.46  {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.46  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.46  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.46  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.46  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.20/0.46  
% 0.20/0.46  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.46  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.46  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.46  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.46  {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.46  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.46  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.46  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.46  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.46  {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.20/0.46  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.46  {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.46  {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.46  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.46  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.20/0.46  {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.46  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.46  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.46  {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.46  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.46  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.46  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.46  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.20/0.46  
% 0.20/0.46  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.46  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.46  {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.46  {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.46  {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.46  
% 0.20/0.46  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.46  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.46  {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.46  {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.46  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.46  {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2} 
% 0.20/0.46  
% 0.20/0.46  ]}
% 0.20/0.46  
% 0.20/0.46  
% 0.20/0.46  **** run 1 fork 0 starts with strategy
% 0.20/0.46  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.20/0.46  
% 0.20/0.46  **** run 2 fork 1 starts with strategy
% 0.20/0.46  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.20/0.46  
% 0.20/0.46  **** run 3 fork 2 starts with strategy
% 0.20/0.46  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.20/0.46  
% 0.20/0.46  **** run 4 fork 3 starts with strategy
% 0.20/0.46  {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.20/0.46  
% 0.20/0.46  **** run 5 fork 4 starts with strategy
% 0.20/0.46  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.20/0.47  
% 0.20/0.47  **** run 6 fork 5 starts with strategy
% 0.20/0.47  {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.20/0.47  
% 0.20/0.47  **** run 7 fork 6 starts with strategy
% 0.20/0.47  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.20/0.48  
% 0.20/0.48  **** run 8 fork 7 starts with strategy
% 0.20/0.48  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.20/0.57  
% 0.20/0.57  
% 0.20/0.57  result: proof found
% 0.20/0.57  for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.20/0.57  by run 2 fork 1 strategy {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.20/0.57  % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.20/0.57  
% 0.20/0.57  % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.20/0.57  fof('ave07_era5_synth_qa07_007_mira_wp_504_$sk', plain, (varia(wagen_1_1,varia_c) & (refer(wagen_1_1,refer_c) & (quant(wagen_1_1,one) & (gener(wagen_1_1,ge) & (fact(wagen_1_1,real) & (etype(wagen_1_1,int0) & (card(wagen_1_1,int1) & (sort(wagen_1_1,d) & (varia(brite_1_1,varia_c) & (refer(brite_1_1,refer_c) & (quant(brite_1_1,one) & (gener(brite_1_1,ge) & (fact(brite_1_1,real) & (etype(brite_1_1,int0) & (card(brite_1_1,int1) & (sort(brite_1_1,d) & (varia(c2169,varia_c) & (refer(c2169,det) & (quant(c2169,one) & (gener(c2169,sp) & (fact(c2169,real) & (etype(c2169,int0) & (card(c2169,int1) & (sort(c2169,o) & (varia(c954,varia_c) & (refer(c954,det) & (quant(c954,one) & (gener(c954,sp) & (fact(c954,real) & (etype(c954,int0) & (card(c954,int1) & (sort(c954,o) & (varia(c948,con) & (refer(c948,det) & (quant(c948,one) & (gener(c948,sp) & (fact(c948,real) & (etype(c948,int0) & (card(c948,int1) & (sort(c948,d) & (varia(c2326,varia_c) & (refer(c2326,refer_c) & (quant(c2326,quant_c) & (gener(c2326,gener_c) & (fact(c2326,real) & (etype(c2326,etype_c) & (card(c2326,card_c) & (sort(c2326,ent) & (varia(motor__1_1,varia_c) & (refer(motor__1_1,refer_c) & (quant(motor__1_1,one) & (gener(motor__1_1,ge) & (fact(motor__1_1,real) & (etype(motor__1_1,int0) & (card(motor__1_1,int1) & (sort(motor__1_1,d) & (varia(c2214,varia_c) & (refer(c2214,indet) & (quant(c2214,mult) & (gener(c2214,gener_c) & (fact(c2214,real) & (etype(c2214,int1) & (card(c2214,cons(x_constant,cons(int1,nil))) & (sort(c2214,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(c2213,varia_c) & (refer(c2213,indet) & (quant(c2213,one) & (gener(c2213,sp) & (fact(c2213,real) & (etype(c2213,int0) & (card(c2213,int1) & (sort(c2213,na) & (varia(c2212,con) & (refer(c2212,det) & (quant(c2212,one) & (gener(c2212,sp) & (fact(c2212,real) & (etype(c2212,int0) & (card(c2212,int1) & (sort(c2212,io) & (sort(c2212,d) & (card(c2201,int1934) & (sort(c2201,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(c2205,varia_c) & (refer(c2205,refer_c) & (quant(c2205,quant_c) & (gener(c2205,sp) & (fact(c2205,real) & (etype(c2205,etype_c) & (card(c2205,card_c) & (sort(c2205,ta) & (sort(c2205,oa) & (sort(c2205,me) & (varia(c2204,con) & (refer(c2204,det) & (quant(c2204,one) & (gener(c2204,sp) & (fact(c2204,real) & (etype(c2204,int0) & (card(c2204,int1) & (sort(c2204,t) & (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(c2196,varia_c) & (refer(c2196,det) & (quant(c2196,one) & (gener(c2196,sp) & (fact(c2196,real) & (etype(c2196,int0) & (card(c2196,int1) & (sort(c2196,io) & (sort(c2196,d) & (sort(nash_0,fe) & (varia(c2187,varia_c) & (refer(c2187,indet) & (quant(c2187,one) & (gener(c2187,sp) & (fact(c2187,real) & (etype(c2187,int0) & (card(c2187,int1) & (sort(c2187,na) & (varia(c2186,con) & (refer(c2186,det) & (quant(c2186,one) & (gener(c2186,sp) & (fact(c2186,real) & (etype(c2186,int0) & (card(c2186,int1) & (sort(c2186,d) & (sort(frazer_0,fe) & (varia(familiename_1_1,varia_c) & (refer(familiename_1_1,refer_c) & (quant(familiename_1_1,one) & (gener(familiename_1_1,ge) & (fact(familiename_1_1,real) & (etype(familiename_1_1,int0) & (card(familiename_1_1,int1) & (sort(familiename_1_1,na) & (varia(mensch_1_1,varia_c) & (refer(mensch_1_1,refer_c) & (quant(mensch_1_1,one) & (gener(mensch_1_1,ge) & (fact(mensch_1_1,real) & (etype(mensch_1_1,int0) & (card(mensch_1_1,int1) & (sort(mensch_1_1,d) & (varia(c2182,varia_c) & (refer(c2182,indet) & (quant(c2182,one) & (gener(c2182,sp) & (fact(c2182,real) & (etype(c2182,int0) & (card(c2182,int1) & (sort(c2182,na) & (varia(c2181,con) & (refer(c2181,det) & (quant(c2181,one) & (gener(c2181,sp) & (fact(c2181,real) & (etype(c2181,int0) & (card(c2181,int1) & (sort(c2181,d) & (varia(lizenz__1_1,varia_c) & (refer(lizenz__1_1,refer_c) & (quant(lizenz__1_1,one) & (gener(lizenz__1_1,ge) & (fact(lizenz__1_1,real) & (etype(lizenz__1_1,int0) & (card(lizenz__1_1,int1) & (sort(lizenz__1_1,io) & (sort(lizenz__1_1,d) & (varia(c2174,varia_c) & (refer(c2174,refer_c) & (quant(c2174,one) & (gener(c2174,gener_c) & (fact(c2174,real) & (etype(c2174,int0) & (card(c2174,int1) & (sort(c2174,io) & (sort(c2174,d) & (sub(c954,wagen_1_1) & (sub(c948,brite_1_1) & (tupl_p12(c2326,c948,c954,c2169,c954,c2174,c2181,c2186,c2196,c2204,c2212,c2214) & (pred(c2214,motor__1_1) & (val(c2213,bmw_0) & (sub(c2213,name_1_1) & (sub(c2212,firma_1_1) & (attr(c2212,c2213) & (val(c2205,c2201) & (sub(c2205,jahr__1_1) & (attr(c2204,c2205) & (sub(c2196,firma_1_1) & (val(c2187,nash_0) & (sub(c2187,familiename_1_1) & (sub(c2186,mensch_1_1) & (attr(c2186,c2187) & (val(c2182,frazer_0) & (sub(c2182,familiename_1_1) & (sub(c2181,mensch_1_1) & (attr(c2181,c2182) & sub(c2174,lizenz__1_1))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.20/0.57    inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_wp_504'])).
% 0.20/0.57  fof('ave07_era5_synth_qa07_007_mira_wp_504', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((sub(c2174,lizenz__1_1) & attr(c2181,c2182)) & sub(c2181,mensch_1_1)) & sub(c2182,familiename_1_1)) & val(c2182,frazer_0)) & attr(c2186,c2187)) & sub(c2186,mensch_1_1)) & sub(c2187,familiename_1_1)) & val(c2187,nash_0)) & sub(c2196,firma_1_1)) & attr(c2204,c2205)) & sub(c2205,jahr__1_1)) & val(c2205,c2201)) & attr(c2212,c2213)) & sub(c2212,firma_1_1)) & sub(c2213,name_1_1)) & val(c2213,bmw_0)) & pred(c2214,motor__1_1)) & tupl_p12(c2326,c948,c954,c2169,c954,c2174,c2181,c2186,c2196,c2204,c2212,c2214)) & sub(c948,brite_1_1)) & sub(c954,wagen_1_1)) & sort(c2174,d)) & sort(c2174,io)) & card(c2174,int1)) & etype(c2174,int0)) & fact(c2174,real)) & gener(c2174,gener_c)) & quant(c2174,one)) & refer(c2174,refer_c)) & varia(c2174,varia_c)) & sort(lizenz__1_1,d)) & sort(lizenz__1_1,io)) & card(lizenz__1_1,int1)) & etype(lizenz__1_1,int0)) & fact(lizenz__1_1,real)) & gener(lizenz__1_1,ge)) & quant(lizenz__1_1,one)) & refer(lizenz__1_1,refer_c)) & varia(lizenz__1_1,varia_c)) & sort(c2181,d)) & card(c2181,int1)) & etype(c2181,int0)) & fact(c2181,real)) & gener(c2181,sp)) & quant(c2181,one)) & refer(c2181,det)) & varia(c2181,con)) & sort(c2182,na)) & card(c2182,int1)) & etype(c2182,int0)) & fact(c2182,real)) & gener(c2182,sp)) & quant(c2182,one)) & refer(c2182,indet)) & varia(c2182,varia_c)) & sort(mensch_1_1,d)) & card(mensch_1_1,int1)) & etype(mensch_1_1,int0)) & fact(mensch_1_1,real)) & gener(mensch_1_1,ge)) & quant(mensch_1_1,one)) & refer(mensch_1_1,refer_c)) & varia(mensch_1_1,varia_c)) & sort(familiename_1_1,na)) & card(familiename_1_1,int1)) & etype(familiename_1_1,int0)) & fact(familiename_1_1,real)) & gener(familiename_1_1,ge)) & quant(familiename_1_1,one)) & refer(familiename_1_1,refer_c)) & varia(familiename_1_1,varia_c)) & sort(frazer_0,fe)) & sort(c2186,d)) & card(c2186,int1)) & etype(c2186,int0)) & fact(c2186,real)) & gener(c2186,sp)) & quant(c2186,one)) & refer(c2186,det)) & varia(c2186,con)) & sort(c2187,na)) & card(c2187,int1)) & etype(c2187,int0)) & fact(c2187,real)) & gener(c2187,sp)) & quant(c2187,one)) & refer(c2187,indet)) & varia(c2187,varia_c)) & sort(nash_0,fe)) & sort(c2196,d)) & sort(c2196,io)) & card(c2196,int1)) & etype(c2196,int0)) & fact(c2196,real)) & gener(c2196,sp)) & quant(c2196,one)) & refer(c2196,det)) & varia(c2196,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(c2204,t)) & card(c2204,int1)) & etype(c2204,int0)) & fact(c2204,real)) & gener(c2204,sp)) & quant(c2204,one)) & refer(c2204,det)) & varia(c2204,con)) & sort(c2205,me)) & sort(c2205,oa)) & sort(c2205,ta)) & card(c2205,card_c)) & etype(c2205,etype_c)) & fact(c2205,real)) & gener(c2205,sp)) & quant(c2205,quant_c)) & refer(c2205,refer_c)) & varia(c2205,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(c2201,nu)) & card(c2201,int1934)) & sort(c2212,d)) & sort(c2212,io)) & card(c2212,int1)) & etype(c2212,int0)) & fact(c2212,real)) & gener(c2212,sp)) & quant(c2212,one)) & refer(c2212,det)) & varia(c2212,con)) & sort(c2213,na)) & card(c2213,int1)) & etype(c2213,int0)) & fact(c2213,real)) & gener(c2213,sp)) & quant(c2213,one)) & refer(c2213,indet)) & varia(c2213,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(c2214,d)) & card(c2214,cons(x_constant,cons(int1,nil)))) & etype(c2214,int1)) & fact(c2214,real)) & gener(c2214,gener_c)) & quant(c2214,mult)) & refer(c2214,indet)) & varia(c2214,varia_c)) & sort(motor__1_1,d)) & card(motor__1_1,int1)) & etype(motor__1_1,int0)) & fact(motor__1_1,real)) & gener(motor__1_1,ge)) & quant(motor__1_1,one)) & refer(motor__1_1,refer_c)) & varia(motor__1_1,varia_c)) & sort(c2326,ent)) & card(c2326,card_c)) & etype(c2326,etype_c)) & fact(c2326,real)) & gener(c2326,gener_c)) & quant(c2326,quant_c)) & refer(c2326,refer_c)) & varia(c2326,varia_c)) & sort(c948,d)) & card(c948,int1)) & etype(c948,int0)) & fact(c948,real)) & gener(c948,sp)) & quant(c948,one)) & refer(c948,det)) & varia(c948,con)) & sort(c954,o)) & card(c954,int1)) & etype(c954,int0)) & fact(c954,real)) & gener(c954,sp)) & quant(c954,one)) & refer(c954,det)) & varia(c954,varia_c)) & sort(c2169,o)) & card(c2169,int1)) & etype(c2169,int0)) & fact(c2169,real)) & gener(c2169,sp)) & quant(c2169,one)) & refer(c2169,det)) & varia(c2169,varia_c)) & sort(brite_1_1,d)) & card(brite_1_1,int1)) & etype(brite_1_1,int0)) & fact(brite_1_1,real)) & gener(brite_1_1,ge)) & quant(brite_1_1,one)) & refer(brite_1_1,refer_c)) & varia(brite_1_1,varia_c)) & sort(wagen_1_1,d)) & card(wagen_1_1,int1)) & etype(wagen_1_1,int0)) & fact(wagen_1_1,real)) & gener(wagen_1_1,ge)) & quant(wagen_1_1,one)) & refer(wagen_1_1,refer_c)) & varia(wagen_1_1,varia_c)),
% 0.20/0.57    input). 
% 0.20/0.57  fof('synth_qa07_007_mira_wp_504_$sk', plain, (~val(X7,bmw_0) | (~val(X1,bmw_0) | (~sub(X6,jahr__1_1) | (~sub(X7,name_1_1) | (~sub(X5,firma_1_1) | (~sub(X1,name_1_1) | (~obj(X4,X5) | (~attr(X2,X6) | (~attr(X3,X7) | ~attr(X5,X1)))))))))),
% 0.20/0.57    inference(negpush_and_skolemize,[],['synth_qa07_007_mira_wp_504'])).
% 0.20/0.57  fof('synth_qa07_007_mira_wp_504', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : (((((((((attr(X0,X1) & attr(X3,X2)) & attr(X5,X6)) & obj(X4,X0)) & sub(X1,name_1_1)) & sub(X0,firma_1_1)) & sub(X2,name_1_1)) & sub(X6,jahr__1_1)) & val(X1,bmw_0)) & val(X2,bmw_0))),
% 0.20/0.57    input). 
% 0.20/0.57  fof('$inc_attr_name__abk__374rzung_stehen_1_b_f__374r_$sk', plain, ((subs($sk12(X1,X2,X3),stehen_1_b) & (scar($sk12(X1,X2,X3),X3) & (obj($sk12(X1,X2,X3),X3) & mcont($sk12(X1,X2,X3),X3)))) | (~sub(X1,X2) | (~member(X2,cons(eigenname_1_1,cons(familiename_1_1,cons(name_1_1,nil)))) | ~attr(X3,X1)))),
% 0.20/0.57    inference(negpush_and_skolemize,[],['$inc_attr_name__abk__374rzung_stehen_1_b_f__374r'])).
% 0.20/0.57  fof('$inc_attr_name__abk__374rzung_stehen_1_b_f__374r', axiom, (! [X0,X1,X2] : (((attr(X2,X0) & member(X1,cons(eigenname_1_1,cons(familiename_1_1,cons(name_1_1,nil))))) & sub(X0,X1)) => (? [X3] : (((mcont(X3,X2) & obj(X3,X2)) & scar(X3,X2)) & subs(X3,stehen_1_b))))),
% 0.20/0.57    input). 
% 0.20/0.57  fof('$inc_member_second_$sk', plain, (member(X3,cons(X1,X2)) | ~member(X3,X2)),
% 0.20/0.57    inference(negpush_and_skolemize,[],['$inc_member_second'])).
% 0.20/0.57  fof('$inc_member_second', axiom, (! [X0,X1,X2] : (member(X0,X2) => member(X0,cons(X1,X2)))),
% 0.20/0.57    input). 
% 0.20/0.57  fof('$inc_member_first_$sk', plain, member(X2,cons(X2,X1)),
% 0.20/0.57    inference(negpush_and_skolemize,[],['$inc_member_first'])).
% 0.20/0.57  fof('$inc_member_first', axiom, (! [X0,X1] : member(X0,cons(X0,X1))),
% 0.20/0.57    input). 
% 0.20/0.57  cnf('1', plain, (sub(c2213,name_1_1)),
% 0.20/0.57    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_504_$sk'])).
% 0.20/0.57  cnf('2', plain, (attr(c2212,c2213)),
% 0.20/0.57    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_504_$sk'])).
% 0.20/0.57  cnf('3', plain, (attr(c2204,c2205)),
% 0.20/0.57    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_504_$sk'])).
% 0.20/0.57  cnf('4', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(U,V) | ~attr(W,X) | ~obj(X2006,W) | ~sub(W,firma_1_1) | ~sub(V,jahr__1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 0.20/0.57    inference(cnf_transformation,[],['synth_qa07_007_mira_wp_504_$sk'])).
% 0.20/0.57  cnf('5', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,U) | ~attr(V,X) | ~obj(W,Y) | ~sub(Y,firma_1_1) | ~sub(U,jahr__1_1) | ~sub(X,name_1_1)),
% 0.20/0.57    inference(factorization,[],['4'])).
% 0.20/0.57  cnf('6', plain, (sub(c2205,jahr__1_1)),
% 0.20/0.57    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_504_$sk'])).
% 0.20/0.57  cnf('7', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,X) | ~obj(U,Z) | ~sub(Z,firma_1_1) | ~sub(X,name_1_1)),
% 0.20/0.57    inference(resolution,[then_simplify],['3','5','6'])).
% 0.20/0.57  cnf('8', plain, (val(c2213,bmw_0)),
% 0.20/0.57    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_504_$sk'])).
% 0.20/0.57  cnf('9', plain, (sub(c2212,firma_1_1)),
% 0.20/0.57    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_504_$sk'])).
% 0.20/0.57  cnf('10', plain, (sub(c2213,name_1_1)),
% 0.20/0.57    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_504_$sk'])).
% 0.20/0.57  cnf('11', plain, (~attr(X,c2213) | ~obj(Y,c2212)),
% 0.20/0.57    inference(resolution,[then_simplify],['2','7','8','9','10'])).
% 0.20/0.57  cnf('12', plain, (~obj(X,c2212)),
% 0.20/0.57    inference(resolution,[],['11','2'])).
% 0.20/0.57  cnf('13', plain, (~member(X,cons(eigenname_1_1,cons(familiename_1_1,cons(name_1_1,nil)))) | obj($sk12(Y,X,Z),Z) | ~attr(Z,Y) | ~sub(Y,X)),
% 0.20/0.57    inference(cnf_transformation,[],['$inc_attr_name__abk__374rzung_stehen_1_b_f__374r_$sk'])).
% 0.20/0.57  cnf('14', plain, (~member(X,cons(eigenname_1_1,cons(familiename_1_1,cons(name_1_1,nil)))) | ~attr(c2212,Y) | ~sub(Y,X)),
% 0.20/0.57    inference(resolution,[],['12','13'])).
% 0.20/0.57  cnf('15', plain, (attr(c2212,c2213)),
% 0.20/0.57    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_504_$sk'])).
% 0.20/0.57  cnf('16', plain, (~member(name_1_1,cons(eigenname_1_1,cons(familiename_1_1,cons(name_1_1,nil))))),
% 0.20/0.57    inference(resolution,[then_simplify],['1','14','15'])).
% 0.20/0.57  cnf('17', plain, (member(X,cons(Y,Z)) | ~member(X,Z)),
% 0.20/0.57    inference(cnf_transformation,[],['$inc_member_second_$sk'])).
% 0.20/0.57  cnf('18', plain, (~member(name_1_1,cons(familiename_1_1,cons(name_1_1,nil)))),
% 0.20/0.57    inference(resolution,[],['16','17'])).
% 0.20/0.57  cnf('19', plain, (~member(name_1_1,cons(name_1_1,nil))),
% 0.20/0.57    inference(resolution,[],['18','17'])).
% 0.20/0.57  cnf('20', plain, (member(X,cons(X,Y))),
% 0.20/0.57    inference(cnf_transformation,[],['$inc_member_first_$sk'])).
% 0.20/0.57  cnf('21', plain, ($false),
% 0.20/0.57    inference(resolution,[],['19','20'])).
% 0.20/0.57  
% 0.20/0.57  % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.20/0.57  
% 0.20/0.57  run 2 fork 1 statistics:
% 0.20/0.57  ----------------------------------
% 0.20/0.57  this run seconds: 0.029282
% 0.20/0.57  total seconds: 0.092418
% 0.20/0.57  stat_given_used: 255
% 0.20/0.57  stat_given_used_at_endgame: 0
% 0.20/0.57  stat_given_candidates:   331
% 0.20/0.57  stat_given_candidates_at_endgame: 0
% 0.20/0.57  stat_given_candidates_h: 0
% 0.20/0.57  stat_binres_derived_cl:   1130
% 0.20/0.57  stat_binres_derived_cl_h: 0
% 0.20/0.57  stat_factor_derived_cl: 8
% 0.20/0.57  stat_para_derived_cl: 0
% 0.20/0.57  stat_tautologies_discarded: 0
% 0.20/0.57  stat_forward_subsumed: 41
% 0.20/0.57  stat_derived_cut: 54
% 0.20/0.57  stat_derived_rewritten: 0
% 0.20/0.57  stat_weight_discarded_building: 0
% 0.20/0.57  stat_weight_discarded_cl: 0
% 0.20/0.57  stat_internlimit_discarded_cl: 0
% 0.20/0.57  stat_simplified:  0 simplified 0 derived 0 given
% 0.20/0.57  stat_kept_cl: 1096
% 0.20/0.57  stat_built_cl: 22394
% 0.20/0.57  stat_hyperres_partial_cl: 0
% 0.20/0.57  stat_made_rewriters: 0
% 0.20/0.57  stat_backward_subsumed: 0
% 0.20/0.57  stat_propagated_subsumed: 0
% 0.20/0.57  stat_clsubs_attempted:                       243
% 0.20/0.57  stat_clsubs_fact_groundunit_found:            33
% 0.20/0.57  stat_clsubs_rule_groundunit_found:             0
% 0.20/0.57  stat_clsubs_top_meta_attempted:               5524
% 0.20/0.57  stat_clsubs_top_meta_failed:                  5281
% 0.20/0.57  stat_clsubs_top_meta_nonpref_attempted:                5524
% 0.20/0.57  stat_clsubs_top_meta_nonpref_succeeded:                1663
% 0.20/0.57  stat_clsubs_top_meta_pref_attempted:                   1663
% 0.20/0.57  stat_clsubs_top_meta_pref1_succeeded:                   374
% 0.20/0.57  stat_clsubs_top_meta_pref2_succeeded:                   245
% 0.20/0.57  stat_clsubs_top_meta_pref3_succeeded:                   243
% 0.20/0.57  stat_clsubs_top_meta_pref_succeeded:                    243
% 0.20/0.57  stat_clsubs_meta_attempted:                 1823
% 0.20/0.57  stat_clsubs_meta_failed:                     924
% 0.20/0.57  stat_clsubs_predsymbs_attempted:               0
% 0.20/0.57  stat_clsubs_unit_attempted:                   42
% 0.20/0.57  stat_clsubs_full_attempted:                  201
% 0.20/0.57  stat_forwardsubs_attempted:                 1137
% 0.20/0.57  stat_lit_hash_added:                  21152
% 0.20/0.57  stat_lit_hash_computed:               29701
% 0.20/0.57  stat_lit_hash_match_found:              138
% 0.20/0.57  stat_lit_hash_match_miss:             12665
% 0.20/0.57  stat_lit_hash_cut_ok:                    64
% 0.20/0.57  stat_lit_strong_cut_ok:                   2
% 0.20/0.57  stat_lit_hash_subsume_ok:                41
% 0.20/0.57  clqueue els 10000000 used 1
% 0.20/0.57  clactive els 10000000 used 10650
% 0.20/0.57  clactivesubsume els 10000000 used 487
% 0.20/0.57  queue_termbuf els 200000000 used 58649
% 0.20/0.57  hyper_termbuf els 100000000 used 1
% 0.20/0.57  active_termbuf els 100000000 used 89709
% 0.20/0.57  varstack els 5000 last used 1
% 0.20/0.57  given_termbuf els 10000000 last used 1
% 0.20/0.57  simplified_termbuf els 10000000 last used 1
% 0.20/0.57  derived_termbuf els 10000000 last used 10
% 0.20/0.57  wr_mallocs: 120752
% 0.20/0.57  wr_callocs: 21
% 0.20/0.57  wr_reallocs: 280
% 0.20/0.57  wr_frees: 2
% 0.20/0.57  wr_malloc_bytes: 4166778964
% 0.20/0.57  wr_calloc_bytes: 112065536
% 0.20/0.57  wr_realloc_bytes: 696448
% 0.20/0.57  wr_realloc_freebytes: 0
% 0.20/0.57  ----------------------------------
%------------------------------------------------------------------------------