%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+31 : 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 21:24:26 EDT 2023
% Result : Theorem 0.19s 0.56s
% Output : CNFRefutation 0.19s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12 % Problem : CSR115+31 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.13 % 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 11:49:07 EDT 2023
% 0.13/0.34 % CPUTime :
% 0.19/0.46
% 0.19/0.46 input clause set summed statistics:
% 0.19/0.46 ----------------------------------
% 0.19/0.46 in_clause_count: 10654
% 0.19/0.46 in_rule_clause_count: 336
% 0.19/0.46 in_fact_clause_count: 10318
% 0.19/0.46 in_answer_clause_count: 0
% 0.19/0.46 in_ground_clause_count: 10318
% 0.19/0.46 in_unit_clause_count: 10320
% 0.19/0.46 in_horn_clause_count: 10644
% 0.19/0.46 in_pos_clause_count: 10324
% 0.19/0.46 in_neg_clause_count: 11
% 0.19/0.46 in_poseq_clause_count: 0
% 0.19/0.46 in_negeq_clause_count: 0
% 0.19/0.46 in_unitposeq_clause_count: 0
% 0.19/0.46 in_chain_clause_count: 0
% 0.19/0.46 in_min_length: 1
% 0.19/0.46 in_max_length: 9
% 0.19/0.46 in_min_depth: 1
% 0.19/0.46 in_max_depth: 5
% 0.19/0.46 in_min_size: 3
% 0.19/0.46 in_max_size: 30
% 0.19/0.46 in_min_vars: 0
% 0.19/0.46 in_max_vars: 8
% 0.19/0.46 in_extaxiom_count: 10394
% 0.19/0.46 in_axiom_count: 0
% 0.19/0.46 in_assumption_count: 259
% 0.19/0.46 in_goal_count: 1
% 0.19/0.46 in_neg_goal_count: 1
% 0.19/0.46 in_pos_goal_count: 0
% 0.19/0.46 in_posunit_goal_count: 0
% 0.19/0.46
% 0.19/0.46 auto guide:
% 0.19/0.46 -----------
% 0.19/0.46 {
% 0.19/0.46 "print":1,
% 0.19/0.46 "print_level": 15,
% 0.19/0.46 "max_size": 0,
% 0.19/0.46 "max_depth": 0,
% 0.19/0.46 "max_length": 0,
% 0.19/0.46 "max_dseconds": 0,
% 0.19/0.46 "equality":0,
% 0.19/0.46 "runs":[
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.19/0.46 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.19/0.46 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.19/0.46 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.19/0.46 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.19/0.46 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.19/0.46 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.19/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.19/0.46 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.19/0.46
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.19/0.46 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.19/0.46 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.19/0.46 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.19/0.46 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.19/0.46 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.19/0.46 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.19/0.46 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.19/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.19/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.19/0.46 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.19/0.46
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.19/0.46 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.19/0.46 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.19/0.46 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.19/0.46 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.19/0.46 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.19/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.19/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.19/0.46 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.19/0.46
% 0.19/0.46 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.46 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.46 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.19/0.46
% 0.19/0.46 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.19/0.46
% 0.19/0.46 ]}
% 0.19/0.46
% 0.19/0.46
% 0.19/0.46 **** run 1 fork 0 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.19/0.46
% 0.19/0.46 **** run 2 fork 1 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.19/0.46
% 0.19/0.46 **** run 3 fork 2 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.19/0.46
% 0.19/0.46 **** run 4 fork 3 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.19/0.46
% 0.19/0.46 **** run 5 fork 4 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.19/0.46
% 0.19/0.46 **** run 6 fork 5 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.19/0.46
% 0.19/0.46 **** run 7 fork 6 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.19/0.47
% 0.19/0.47 **** run 8 fork 7 starts with strategy
% 0.19/0.47 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.19/0.56
% 0.19/0.56
% 0.19/0.56 result: proof found
% 0.19/0.56 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.19/0.56 by run 2 fork 1 strategy {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.19/0.56 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.19/0.56
% 0.19/0.56 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.19/0.56 fof('ave07_era5_synth_qa07_007_mira_news_1209_a462_$sk', plain, (varia(gesch__344ft_1_1,varia_c) & (refer(gesch__344ft_1_1,refer_c) & (quant(gesch__344ft_1_1,one) & (gener(gesch__344ft_1_1,ge) & (fact(gesch__344ft_1_1,real) & (etype(gesch__344ft_1_1,int0) & (card(gesch__344ft_1_1,int1) & (sort(gesch__344ft_1_1,io) & (sort(gesch__344ft_1_1,d) & (varia(kraftrad_1_1,varia_c) & (refer(kraftrad_1_1,refer_c) & (quant(kraftrad_1_1,one) & (gener(kraftrad_1_1,ge) & (fact(kraftrad_1_1,real) & (etype(kraftrad_1_1,int0) & (card(kraftrad_1_1,int1) & (sort(kraftrad_1_1,d) & (varia(geschichte_1_1,varia_c) & (refer(geschichte_1_1,refer_c) & (quant(geschichte_1_1,one) & (gener(geschichte_1_1,ge) & (fact(geschichte_1_1,real) & (etype(geschichte_1_1,int0) & (card(geschichte_1_1,int1) & (sort(geschichte_1_1,io) & (sort(geschichte_1_1,d) & (sort(geschichte_1_1,ad) & (gener(firmen_1_1,ge) & (fact(firmen_1_1,real) & (sort(firmen_1_1,da) & (varia(c6160,varia_c) & (refer(c6160,refer_c) & (quant(c6160,quant_c) & (gener(c6160,gener_c) & (fact(c6160,real) & (etype(c6160,etype_c) & (card(c6160,card_c) & (sort(c6160,ent) & (varia(firmengeschichte_1_1,varia_c) & (refer(firmengeschichte_1_1,refer_c) & (quant(firmengeschichte_1_1,one) & (gener(firmengeschichte_1_1,ge) & (fact(firmengeschichte_1_1,real) & (etype(firmengeschichte_1_1,int0) & (card(firmengeschichte_1_1,int1) & (sort(firmengeschichte_1_1,io) & (sort(firmengeschichte_1_1,d) & (sort(firmengeschichte_1_1,ad) & (sort(jahrelang_1_1,tq) & (varia(c5159,con) & (refer(c5159,det) & (quant(c5159,one) & (gener(c5159,sp) & (fact(c5159,real) & (etype(c5159,int0) & (card(c5159,int1) & (sort(c5159,io) & (sort(c5159,d) & (sort(c5159,ad) & (varia(c5152,varia_c) & (refer(c5152,refer_c) & (quant(c5152,quant_c) & (gener(c5152,gener_c) & (fact(c5152,real) & (etype(c5152,int2) & (etype(c5152,int1) & (card(c5152,card_c) & (sort(c5152,o) & (sort(erfolgreich_1_1,nq) & (sort(c5151,tq) & (varia(c5147,con) & (refer(c5147,det) & (quant(c5147,quant_c) & (gener(c5147,sp) & (fact(c5147,real) & (etype(c5147,etype_c) & (card(c5147,card_c) & (sort(c5147,ta) & (sort(c5147,oa) & (sort(c5147,me) & (varia(motorradgesch__344ft_1_1,varia_c) & (refer(motorradgesch__344ft_1_1,refer_c) & (quant(motorradgesch__344ft_1_1,one) & (gener(motorradgesch__344ft_1_1,ge) & (fact(motorradgesch__344ft_1_1,real) & (etype(motorradgesch__344ft_1_1,int0) & (card(motorradgesch__344ft_1_1,int1) & (sort(motorradgesch__344ft_1_1,io) & (sort(motorradgesch__344ft_1_1,d) & (varia(c5142,con) & (refer(c5142,det) & (quant(c5142,one) & (gener(c5142,sp) & (fact(c5142,real) & (etype(c5142,int0) & (card(c5142,int1) & (sort(c5142,io) & (sort(c5142,d) & (card(c5136,int1994) & (sort(c5136,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(c5139,varia_c) & (refer(c5139,refer_c) & (quant(c5139,quant_c) & (gener(c5139,sp) & (fact(c5139,real) & (etype(c5139,etype_c) & (card(c5139,card_c) & (sort(c5139,ta) & (sort(c5139,oa) & (sort(c5139,me) & (varia(c5138,con) & (refer(c5138,det) & (quant(c5138,one) & (gener(c5138,sp) & (fact(c5138,real) & (etype(c5138,int0) & (card(c5138,int1) & (sort(c5138,t) & (varia(ag_1_1,varia_c) & (refer(ag_1_1,refer_c) & (quant(ag_1_1,one) & (gener(ag_1_1,ge) & (fact(ag_1_1,real) & (etype(ag_1_1,int0) & (card(ag_1_1,int1) & (sort(ag_1_1,io) & (varia(c5132,varia_c) & (refer(c5132,refer_c) & (quant(c5132,one) & (gener(c5132,gener_c) & (fact(c5132,real) & (etype(c5132,int0) & (card(c5132,int1) & (sort(c5132,io) & (varia(bmw_1_1,varia_c) & (refer(bmw_1_1,refer_c) & (quant(bmw_1_1,one) & (gener(bmw_1_1,ge) & (fact(bmw_1_1,real) & (etype(bmw_1_1,int0) & (card(bmw_1_1,int1) & (sort(bmw_1_1,d) & (varia(c5130,varia_c) & (refer(c5130,refer_c) & (quant(c5130,one) & (gener(c5130,gener_c) & (fact(c5130,real) & (etype(c5130,int0) & (card(c5130,int1) & (sort(c5130,d) & (varia(m__374nchener_2_1,varia_c) & (refer(m__374nchener_2_1,refer_c) & (quant(m__374nchener_2_1,one) & (gener(m__374nchener_2_1,ge) & (fact(m__374nchener_2_1,real) & (etype(m__374nchener_2_1,int0) & (card(m__374nchener_2_1,int1) & (sort(m__374nchener_2_1,d) & (varia(c5123,con) & (refer(c5123,det) & (quant(c5123,one) & (gener(c5123,sp) & (fact(c5123,real) & (etype(c5123,int0) & (card(c5123,int1) & (sort(c5123,d) & (varia(c18,varia_c) & (refer(c18,refer_c) & (quant(c18,quant_c) & (gener(c18,gener_c) & (fact(c18,real) & (etype(c18,etype_c) & (card(c18,card_c) & (sort(c18,ent) & (varia(feb_1_1,varia_c) & (refer(feb_1_1,refer_c) & (quant(feb_1_1,one) & (gener(feb_1_1,ge) & (fact(feb_1_1,real) & (etype(feb_1_1,int0) & (card(feb_1_1,int1) & (sort(feb_1_1,o) & (varia(c14,varia_c) & (refer(c14,refer_c) & (quant(c14,one) & (gener(c14,gener_c) & (fact(c14,real) & (etype(c14,int0) & (card(c14,int1) & (sort(c14,o) & (sort(m__374nchen_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(stadt__1_1,varia_c) & (refer(stadt__1_1,refer_c) & (quant(stadt__1_1,one) & (gener(stadt__1_1,ge) & (fact(stadt__1_1,real) & (etype(stadt__1_1,int0) & (card(stadt__1_1,int1) & (sort(stadt__1_1,io) & (sort(stadt__1_1,d) & (varia(c12,varia_c) & (refer(c12,indet) & (quant(c12,one) & (gener(c12,sp) & (fact(c12,real) & (etype(c12,int0) & (card(c12,int1) & (sort(c12,na) & (varia(c11,con) & (refer(c11,det) & (quant(c11,one) & (gener(c11,sp) & (fact(c11,real) & (etype(c11,int0) & (card(c11,int1) & (sort(c11,io) & (sort(c11,d) & (sub(motorradgesch__344ft_1_1,gesch__344ft_1_1) & (assoc(motorradgesch__344ft_1_1,kraftrad_1_1) & (sub(firmengeschichte_1_1,geschichte_1_1) & (assoc(firmengeschichte_1_1,firmen_1_1) & (tupl_p8(c6160,c5123,c5130,c5132,c5138,c5142,c5147,c5151) & (sub(c5159,firmengeschichte_1_1) & (prop(c5159,jahrelang_1_1) & (attr(c5159,c5147) & (supl(c5151,erfolgreich_1_1,c5152) & (sub(c5147,jahr__1_1) & (prop(c5147,c5151) & (sub(c5142,motorradgesch__344ft_1_1) & (val(c5139,c5136) & (sub(c5139,jahr__1_1) & (attr(c5138,c5139) & (sub(c5132,ag_1_1) & (sub(c5130,bmw_1_1) & (sub(c5123,m__374nchener_2_1) & (tupl(c18,c11,c14) & (sub(c14,feb_1_1) & (val(c12,m__374nchen_0) & (sub(c12,name_1_1) & (sub(c11,stadt__1_1) & attr(c11,c12))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.19/0.56 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1209_a462'])).
% 0.19/0.56 fof('ave07_era5_synth_qa07_007_mira_news_1209_a462', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((attr(c11,c12) & sub(c11,stadt__1_1)) & sub(c12,name_1_1)) & val(c12,m__374nchen_0)) & sub(c14,feb_1_1)) & tupl(c18,c11,c14)) & sub(c5123,m__374nchener_2_1)) & sub(c5130,bmw_1_1)) & sub(c5132,ag_1_1)) & attr(c5138,c5139)) & sub(c5139,jahr__1_1)) & val(c5139,c5136)) & sub(c5142,motorradgesch__344ft_1_1)) & prop(c5147,c5151)) & sub(c5147,jahr__1_1)) & supl(c5151,erfolgreich_1_1,c5152)) & attr(c5159,c5147)) & prop(c5159,jahrelang_1_1)) & sub(c5159,firmengeschichte_1_1)) & tupl_p8(c6160,c5123,c5130,c5132,c5138,c5142,c5147,c5151)) & assoc(firmengeschichte_1_1,firmen_1_1)) & sub(firmengeschichte_1_1,geschichte_1_1)) & assoc(motorradgesch__344ft_1_1,kraftrad_1_1)) & sub(motorradgesch__344ft_1_1,gesch__344ft_1_1)) & sort(c11,d)) & sort(c11,io)) & card(c11,int1)) & etype(c11,int0)) & fact(c11,real)) & gener(c11,sp)) & quant(c11,one)) & refer(c11,det)) & varia(c11,con)) & sort(c12,na)) & card(c12,int1)) & etype(c12,int0)) & fact(c12,real)) & gener(c12,sp)) & quant(c12,one)) & refer(c12,indet)) & varia(c12,varia_c)) & sort(stadt__1_1,d)) & sort(stadt__1_1,io)) & card(stadt__1_1,int1)) & etype(stadt__1_1,int0)) & fact(stadt__1_1,real)) & gener(stadt__1_1,ge)) & quant(stadt__1_1,one)) & refer(stadt__1_1,refer_c)) & varia(stadt__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(m__374nchen_0,fe)) & sort(c14,o)) & card(c14,int1)) & etype(c14,int0)) & fact(c14,real)) & gener(c14,gener_c)) & quant(c14,one)) & refer(c14,refer_c)) & varia(c14,varia_c)) & sort(feb_1_1,o)) & card(feb_1_1,int1)) & etype(feb_1_1,int0)) & fact(feb_1_1,real)) & gener(feb_1_1,ge)) & quant(feb_1_1,one)) & refer(feb_1_1,refer_c)) & varia(feb_1_1,varia_c)) & sort(c18,ent)) & card(c18,card_c)) & etype(c18,etype_c)) & fact(c18,real)) & gener(c18,gener_c)) & quant(c18,quant_c)) & refer(c18,refer_c)) & varia(c18,varia_c)) & sort(c5123,d)) & card(c5123,int1)) & etype(c5123,int0)) & fact(c5123,real)) & gener(c5123,sp)) & quant(c5123,one)) & refer(c5123,det)) & varia(c5123,con)) & sort(m__374nchener_2_1,d)) & card(m__374nchener_2_1,int1)) & etype(m__374nchener_2_1,int0)) & fact(m__374nchener_2_1,real)) & gener(m__374nchener_2_1,ge)) & quant(m__374nchener_2_1,one)) & refer(m__374nchener_2_1,refer_c)) & varia(m__374nchener_2_1,varia_c)) & sort(c5130,d)) & card(c5130,int1)) & etype(c5130,int0)) & fact(c5130,real)) & gener(c5130,gener_c)) & quant(c5130,one)) & refer(c5130,refer_c)) & varia(c5130,varia_c)) & sort(bmw_1_1,d)) & card(bmw_1_1,int1)) & etype(bmw_1_1,int0)) & fact(bmw_1_1,real)) & gener(bmw_1_1,ge)) & quant(bmw_1_1,one)) & refer(bmw_1_1,refer_c)) & varia(bmw_1_1,varia_c)) & sort(c5132,io)) & card(c5132,int1)) & etype(c5132,int0)) & fact(c5132,real)) & gener(c5132,gener_c)) & quant(c5132,one)) & refer(c5132,refer_c)) & varia(c5132,varia_c)) & sort(ag_1_1,io)) & card(ag_1_1,int1)) & etype(ag_1_1,int0)) & fact(ag_1_1,real)) & gener(ag_1_1,ge)) & quant(ag_1_1,one)) & refer(ag_1_1,refer_c)) & varia(ag_1_1,varia_c)) & sort(c5138,t)) & card(c5138,int1)) & etype(c5138,int0)) & fact(c5138,real)) & gener(c5138,sp)) & quant(c5138,one)) & refer(c5138,det)) & varia(c5138,con)) & sort(c5139,me)) & sort(c5139,oa)) & sort(c5139,ta)) & card(c5139,card_c)) & etype(c5139,etype_c)) & fact(c5139,real)) & gener(c5139,sp)) & quant(c5139,quant_c)) & refer(c5139,refer_c)) & varia(c5139,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(c5136,nu)) & card(c5136,int1994)) & sort(c5142,d)) & sort(c5142,io)) & card(c5142,int1)) & etype(c5142,int0)) & fact(c5142,real)) & gener(c5142,sp)) & quant(c5142,one)) & refer(c5142,det)) & varia(c5142,con)) & sort(motorradgesch__344ft_1_1,d)) & sort(motorradgesch__344ft_1_1,io)) & card(motorradgesch__344ft_1_1,int1)) & etype(motorradgesch__344ft_1_1,int0)) & fact(motorradgesch__344ft_1_1,real)) & gener(motorradgesch__344ft_1_1,ge)) & quant(motorradgesch__344ft_1_1,one)) & refer(motorradgesch__344ft_1_1,refer_c)) & varia(motorradgesch__344ft_1_1,varia_c)) & sort(c5147,me)) & sort(c5147,oa)) & sort(c5147,ta)) & card(c5147,card_c)) & etype(c5147,etype_c)) & fact(c5147,real)) & gener(c5147,sp)) & quant(c5147,quant_c)) & refer(c5147,det)) & varia(c5147,con)) & sort(c5151,tq)) & sort(erfolgreich_1_1,nq)) & sort(c5152,o)) & card(c5152,card_c)) & etype(c5152,int1)) & etype(c5152,int2)) & fact(c5152,real)) & gener(c5152,gener_c)) & quant(c5152,quant_c)) & refer(c5152,refer_c)) & varia(c5152,varia_c)) & sort(c5159,ad)) & sort(c5159,d)) & sort(c5159,io)) & card(c5159,int1)) & etype(c5159,int0)) & fact(c5159,real)) & gener(c5159,sp)) & quant(c5159,one)) & refer(c5159,det)) & varia(c5159,con)) & sort(jahrelang_1_1,tq)) & sort(firmengeschichte_1_1,ad)) & sort(firmengeschichte_1_1,d)) & sort(firmengeschichte_1_1,io)) & card(firmengeschichte_1_1,int1)) & etype(firmengeschichte_1_1,int0)) & fact(firmengeschichte_1_1,real)) & gener(firmengeschichte_1_1,ge)) & quant(firmengeschichte_1_1,one)) & refer(firmengeschichte_1_1,refer_c)) & varia(firmengeschichte_1_1,varia_c)) & sort(c6160,ent)) & card(c6160,card_c)) & etype(c6160,etype_c)) & fact(c6160,real)) & gener(c6160,gener_c)) & quant(c6160,quant_c)) & refer(c6160,refer_c)) & varia(c6160,varia_c)) & sort(firmen_1_1,da)) & fact(firmen_1_1,real)) & gener(firmen_1_1,ge)) & sort(geschichte_1_1,ad)) & sort(geschichte_1_1,d)) & sort(geschichte_1_1,io)) & card(geschichte_1_1,int1)) & etype(geschichte_1_1,int0)) & fact(geschichte_1_1,real)) & gener(geschichte_1_1,ge)) & quant(geschichte_1_1,one)) & refer(geschichte_1_1,refer_c)) & varia(geschichte_1_1,varia_c)) & sort(kraftrad_1_1,d)) & card(kraftrad_1_1,int1)) & etype(kraftrad_1_1,int0)) & fact(kraftrad_1_1,real)) & gener(kraftrad_1_1,ge)) & quant(kraftrad_1_1,one)) & refer(kraftrad_1_1,refer_c)) & varia(kraftrad_1_1,varia_c)) & sort(gesch__344ft_1_1,d)) & sort(gesch__344ft_1_1,io)) & card(gesch__344ft_1_1,int1)) & etype(gesch__344ft_1_1,int0)) & fact(gesch__344ft_1_1,real)) & gener(gesch__344ft_1_1,ge)) & quant(gesch__344ft_1_1,one)) & refer(gesch__344ft_1_1,refer_c)) & varia(gesch__344ft_1_1,varia_c)),
% 0.19/0.56 input).
% 0.19/0.56 fof('$inc_sub__sub_0_expansion_$sk', plain, ((subr($sk6(X1,X2),sub_0) & (arg2($sk6(X1,X2),X2) & arg1($sk6(X1,X2),X1))) | ~sub(X1,X2)),
% 0.19/0.56 inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.19/0.56 fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.19/0.56 input).
% 0.19/0.56 fof('synth_qa07_007_mira_news_1209_a462_$sk', plain, (~val(X8,X7) | (~sub(X8,jahr__1_1) | (~sub(X6,name_1_1) | (~sub(X1,name_1_1) | (~obj(X5,X4) | (~has_card_leq(X7,int1994) | (~attr(X3,X8) | (~attr(X2,X6) | ~attr(X4,X1))))))))),
% 0.19/0.56 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1209_a462'])).
% 0.19/0.56 fof('synth_qa07_007_mira_news_1209_a462', conjecture, (? [X0,X1,X2,X3,X4,X5,X6,X7] : ((((((((attr(X0,X1) & attr(X3,X2)) & attr(X5,X6)) & has_card_leq(X7,int1994)) & obj(X4,X0)) & sub(X1,name_1_1)) & sub(X2,name_1_1)) & sub(X6,jahr__1_1)) & val(X6,X7))),
% 0.19/0.56 input).
% 0.19/0.56 fof('$inc_has_card_eq_$sk', plain, (has_card_leq(X2,X1) | ~card(X2,X1)),
% 0.19/0.56 inference(negpush_and_skolemize,[],['$inc_has_card_eq'])).
% 0.19/0.56 fof('$inc_has_card_eq', axiom, (! [X0,X1] : (card(X0,X1) => has_card_leq(X0,X1))),
% 0.19/0.56 input).
% 0.19/0.56 fof('$inc_sub__bezeichnen_1_1_als_$sk', plain, ((subs($sk9(X1,X2,X3),bezeichnen_1_1) & (subr($sk7(X1,X2,X3),rprs_0) & (sub($sk8(X1,X2,X3),X3) & (obj($sk9(X1,X2,X3),X1) & (mcont($sk9(X1,X2,X3),$sk7(X1,X2,X3)) & (hsit(X2,$sk9(X1,X2,X3)) & (arg2($sk7(X1,X2,X3),$sk8(X1,X2,X3)) & arg1($sk7(X1,X2,X3),X1)))))))) | (~subr(X2,sub_0) | (~arg2(X2,X3) | ~arg1(X2,X1)))),
% 0.19/0.56 inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.19/0.56 fof('$inc_sub__bezeichnen_1_1_als', axiom, (! [X0,X1,X2] : (((arg1(X0,X1) & arg2(X0,X2)) & subr(X0,sub_0)) => (? [X3,X4,X5] : (((((((arg1(X4,X1) & arg2(X4,X5)) & hsit(X0,X3)) & mcont(X3,X4)) & obj(X3,X1)) & sub(X5,X2)) & subr(X4,rprs_0)) & subs(X3,bezeichnen_1_1))))),
% 0.19/0.56 input).
% 0.19/0.56 cnf('1', plain, (sub(c11,stadt__1_1)),
% 0.19/0.56 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1209_a462_$sk'])).
% 0.19/0.56 cnf('2', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.19/0.56 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.19/0.56 cnf('3', plain, (subr($sk6(c11,stadt__1_1),sub_0)),
% 0.19/0.56 inference(resolution,[],['1','2'])).
% 0.19/0.56 cnf('4', plain, (attr(c11,c12)),
% 0.19/0.56 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1209_a462_$sk'])).
% 0.19/0.56 cnf('5', plain, (sub(c12,name_1_1)),
% 0.19/0.56 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1209_a462_$sk'])).
% 0.19/0.56 cnf('6', plain, (attr(c5138,c5139)),
% 0.19/0.56 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1209_a462_$sk'])).
% 0.19/0.56 cnf('7', plain, (val(c5139,c5136)),
% 0.19/0.56 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1209_a462_$sk'])).
% 0.19/0.56 cnf('8', plain, (~val(X,Y) | ~attr(Z,U) | ~attr(V,X) | ~attr(W,X2006) | ~obj(X2007,W) | ~sub(X2006,name_1_1) | ~sub(U,name_1_1) | ~sub(X,jahr__1_1) | ~has_card_leq(Y,int1994)),
% 0.19/0.56 inference(cnf_transformation,[],['synth_qa07_007_mira_news_1209_a462_$sk'])).
% 0.19/0.56 cnf('9', plain, (sub(c5139,jahr__1_1)),
% 0.19/0.56 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1209_a462_$sk'])).
% 0.19/0.56 cnf('10', plain, (card(c5136,int1994)),
% 0.19/0.56 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1209_a462_$sk'])).
% 0.19/0.56 cnf('11', plain, (~card(X,Y) | has_card_leq(X,Y)),
% 0.19/0.56 inference(cnf_transformation,[],['$inc_has_card_eq_$sk'])).
% 0.19/0.56 cnf('12', plain, (has_card_leq(c5136,int1994)),
% 0.19/0.56 inference(resolution,[],['10','11'])).
% 0.19/0.56 cnf('13', plain, (~attr(X,Y) | ~attr(Z,c5139) | ~attr(U,V) | ~obj(W,X) | ~sub(Y,name_1_1) | ~sub(V,name_1_1)),
% 0.19/0.56 inference(resolution,[then_simplify],['7','8','9','12'])).
% 0.19/0.56 cnf('14', plain, (~attr(X,Y) | ~attr(Z,c5139) | ~obj(U,X) | ~sub(Y,name_1_1)),
% 0.19/0.56 inference(factorization,[],['13'])).
% 0.19/0.56 cnf('15', plain, (~attr(X,Y) | ~obj(Z,X) | ~sub(Y,name_1_1)),
% 0.19/0.56 inference(resolution,[],['6','14'])).
% 0.19/0.56 cnf('16', plain, (~attr(X,c12) | ~obj(Y,X)),
% 0.19/0.56 inference(resolution,[],['5','15'])).
% 0.19/0.56 cnf('17', plain, (~obj(X,c11)),
% 0.19/0.56 inference(resolution,[],['4','16'])).
% 0.19/0.56 cnf('18', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.19/0.56 inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.19/0.56 cnf('19', plain, (~subr(X,sub_0) | ~arg1(X,c11) | ~arg2(X,Y)),
% 0.19/0.56 inference(resolution,[],['17','18'])).
% 0.19/0.56 cnf('20', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.19/0.56 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.19/0.56 cnf('21', plain, (arg1($sk6(c11,stadt__1_1),c11)),
% 0.19/0.56 inference(resolution,[],['1','20'])).
% 0.19/0.56 cnf('22', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.19/0.56 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.19/0.56 cnf('23', plain, (arg2($sk6(c11,stadt__1_1),stadt__1_1)),
% 0.19/0.56 inference(resolution,[],['1','22'])).
% 0.19/0.56 cnf('24', plain, ($false),
% 0.19/0.56 inference(resolution,[then_simplify],['3','19','21','23'])).
% 0.19/0.56
% 0.19/0.56 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.19/0.56
% 0.19/0.56 run 2 fork 1 statistics:
% 0.19/0.56 ----------------------------------
% 0.19/0.56 this run seconds: 0.033623
% 0.19/0.56 total seconds: 0.094095
% 0.19/0.56 stat_given_used: 633
% 0.19/0.56 stat_given_used_at_endgame: 0
% 0.19/0.56 stat_given_candidates: 906
% 0.19/0.56 stat_given_candidates_at_endgame: 0
% 0.19/0.56 stat_given_candidates_h: 0
% 0.19/0.56 stat_binres_derived_cl: 1856
% 0.19/0.56 stat_binres_derived_cl_h: 0
% 0.19/0.56 stat_factor_derived_cl: 4
% 0.19/0.56 stat_para_derived_cl: 0
% 0.19/0.56 stat_tautologies_discarded: 0
% 0.19/0.56 stat_forward_subsumed: 41
% 0.19/0.56 stat_derived_cut: 113
% 0.19/0.56 stat_derived_rewritten: 0
% 0.19/0.56 stat_weight_discarded_building: 0
% 0.19/0.56 stat_weight_discarded_cl: 0
% 0.19/0.56 stat_internlimit_discarded_cl: 0
% 0.19/0.56 stat_simplified: 1 simplified 0 derived 0 given
% 0.19/0.56 stat_kept_cl: 1818
% 0.19/0.56 stat_built_cl: 23873
% 0.19/0.56 stat_hyperres_partial_cl: 0
% 0.19/0.56 stat_made_rewriters: 0
% 0.19/0.56 stat_backward_subsumed: 0
% 0.19/0.56 stat_propagated_subsumed: 0
% 0.19/0.56 stat_clsubs_attempted: 866
% 0.19/0.56 stat_clsubs_fact_groundunit_found: 104
% 0.19/0.56 stat_clsubs_rule_groundunit_found: 7
% 0.19/0.56 stat_clsubs_top_meta_attempted: 43834
% 0.19/0.56 stat_clsubs_top_meta_failed: 42968
% 0.19/0.56 stat_clsubs_top_meta_nonpref_attempted: 43834
% 0.19/0.56 stat_clsubs_top_meta_nonpref_succeeded: 5573
% 0.19/0.56 stat_clsubs_top_meta_pref_attempted: 5573
% 0.19/0.56 stat_clsubs_top_meta_pref1_succeeded: 1307
% 0.19/0.56 stat_clsubs_top_meta_pref2_succeeded: 888
% 0.19/0.56 stat_clsubs_top_meta_pref3_succeeded: 866
% 0.19/0.56 stat_clsubs_top_meta_pref_succeeded: 866
% 0.19/0.56 stat_clsubs_meta_attempted: 5850
% 0.19/0.56 stat_clsubs_meta_failed: 3256
% 0.19/0.56 stat_clsubs_predsymbs_attempted: 0
% 0.19/0.56 stat_clsubs_unit_attempted: 134
% 0.19/0.56 stat_clsubs_full_attempted: 732
% 0.19/0.56 stat_forwardsubs_attempted: 1860
% 0.19/0.56 stat_lit_hash_added: 22472
% 0.19/0.56 stat_lit_hash_computed: 35882
% 0.19/0.56 stat_lit_hash_match_found: 265
% 0.19/0.56 stat_lit_hash_match_miss: 19575
% 0.19/0.56 stat_lit_hash_cut_ok: 113
% 0.19/0.56 stat_lit_strong_cut_ok: 8
% 0.19/0.56 stat_lit_hash_subsume_ok: 41
% 0.19/0.56 clqueue els 10000000 used 1
% 0.19/0.56 clactive els 10000000 used 11028
% 0.19/0.56 clactivesubsume els 10000000 used 619
% 0.19/0.56 queue_termbuf els 200000000 used 94358
% 0.19/0.56 hyper_termbuf els 100000000 used 1
% 0.19/0.56 active_termbuf els 100000000 used 93495
% 0.19/0.56 varstack els 5000 last used 1
% 0.19/0.56 given_termbuf els 10000000 last used 1
% 0.19/0.56 simplified_termbuf els 10000000 last used 1
% 0.19/0.56 derived_termbuf els 10000000 last used 46
% 0.19/0.56 wr_mallocs: 124089
% 0.19/0.56 wr_callocs: 21
% 0.19/0.56 wr_reallocs: 524
% 0.19/0.56 wr_frees: 2
% 0.19/0.56 wr_malloc_bytes: 4166900228
% 0.19/0.56 wr_calloc_bytes: 112065536
% 0.19/0.56 wr_realloc_bytes: 730360
% 0.19/0.56 wr_realloc_freebytes: 0
% 0.19/0.56 ----------------------------------
%------------------------------------------------------------------------------