TSTP Solution File: CSR115+77 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+77 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n028.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 0.20s 0.54s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.12/0.12 % Problem : CSR115+77 : TPTP v8.1.2. Released v4.0.0.
% 0.12/0.13 % Command : gkc %s
% 0.13/0.34 % Computer : n028.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 12:48:54 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: 10549
% 0.20/0.46 in_rule_clause_count: 339
% 0.20/0.46 in_fact_clause_count: 10210
% 0.20/0.46 in_answer_clause_count: 0
% 0.20/0.46 in_ground_clause_count: 10213
% 0.20/0.46 in_unit_clause_count: 10215
% 0.20/0.46 in_horn_clause_count: 10539
% 0.20/0.46 in_pos_clause_count: 10219
% 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: 9
% 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: 154
% 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}
% 0.20/0.46
% 0.20/0.46 **** run 6 fork 5 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.20/0.46
% 0.20/0.46 **** run 7 fork 6 starts with strategy
% 0.20/0.46
% 0.20/0.46 **** run 8 fork 7 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.20/0.46 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.20/0.54
% 0.20/0.54
% 0.20/0.54 result: proof found
% 0.20/0.54 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.54 by run 7 fork 6 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.20/0.54 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.54
% 0.20/0.54 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.54 fof('ave07_era5_synth_qa07_007_mira_wp_487_$sk', plain, (varia(schadstoff_1_1,varia_c) & (refer(schadstoff_1_1,refer_c) & (quant(schadstoff_1_1,one) & (gener(schadstoff_1_1,ge) & (fact(schadstoff_1_1,real) & (etype(schadstoff_1_1,int0) & (card(schadstoff_1_1,int1) & (sort(schadstoff_1_1,s) & (varia(luft__1_1,varia_c) & (refer(luft__1_1,refer_c) & (quant(luft__1_1,one) & (gener(luft__1_1,ge) & (fact(luft__1_1,real) & (etype(luft__1_1,int0) & (card(luft__1_1,int1) & (sort(luft__1_1,s) & (varia(c5051,varia_c) & (refer(c5051,refer_c) & (quant(c5051,quant_c) & (gener(c5051,gener_c) & (fact(c5051,real) & (etype(c5051,etype_c) & (card(c5051,card_c) & (sort(c5051,ent) & (varia(luftschadstoff_1_1,varia_c) & (refer(luftschadstoff_1_1,refer_c) & (quant(luftschadstoff_1_1,one) & (gener(luftschadstoff_1_1,ge) & (fact(luftschadstoff_1_1,real) & (etype(luftschadstoff_1_1,int0) & (card(luftschadstoff_1_1,int1) & (sort(luftschadstoff_1_1,o) & (varia(c4812,varia_c) & (refer(c4812,indet) & (quant(c4812,mult) & (gener(c4812,gener_c) & (fact(c4812,real) & (etype(c4812,int1) & (card(c4812,cons(x_constant,cons(int1,nil))) & (sort(c4812,o) & (varia(emission_1_1,varia_c) & (refer(emission_1_1,refer_c) & (quant(emission_1_1,one) & (gener(emission_1_1,ge) & (fact(emission_1_1,real) & (etype(emission_1_1,int0) & (card(emission_1_1,int1) & (sort(emission_1_1,ad) & (varia(c4809,con) & (refer(c4809,det) & (quant(c4809,mult) & (gener(c4809,sp) & (fact(c4809,real) & (etype(c4809,int1) & (card(c4809,cons(x_constant,cons(int1,nil))) & (sort(c4809,ad) & (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(c4792,con) & (refer(c4792,det) & (quant(c4792,mult) & (gener(c4792,sp) & (fact(c4792,real) & (etype(c4792,int1) & (card(c4792,cons(x_constant,cons(int1,nil))) & (sort(c4792,d) & (varia(leistung_1_1,varia_c) & (refer(leistung_1_1,refer_c) & (quant(leistung_1_1,one) & (gener(leistung_1_1,ge) & (fact(leistung_1_1,real) & (etype(leistung_1_1,int0) & (card(leistung_1_1,int1) & (sort(leistung_1_1,io) & (sort(leistung_1_1,ad) & (varia(c4788,con) & (refer(c4788,det) & (quant(c4788,one) & (gener(c4788,sp) & (fact(c4788,real) & (etype(c4788,int0) & (card(c4788,int1) & (sort(c4788,io) & (sort(c4788,ad) & (sort(bmw_0,fe) & (varia(name_1_1,varia_c) & (refer(name_1_1,refer_c) & (quant(name_1_1,one) & (gener(name_1_1,ge) & (fact(name_1_1,real) & (etype(name_1_1,int0) & (card(name_1_1,int1) & (sort(name_1_1,na) & (varia(firma_1_1,varia_c) & (refer(firma_1_1,refer_c) & (quant(firma_1_1,one) & (gener(firma_1_1,ge) & (fact(firma_1_1,real) & (etype(firma_1_1,int0) & (card(firma_1_1,int1) & (sort(firma_1_1,io) & (sort(firma_1_1,d) & (varia(c4783,varia_c) & (refer(c4783,indet) & (quant(c4783,one) & (gener(c4783,sp) & (fact(c4783,real) & (etype(c4783,int0) & (card(c4783,int1) & (sort(c4783,na) & (varia(c4782,con) & (refer(c4782,det) & (quant(c4782,one) & (gener(c4782,sp) & (fact(c4782,real) & (etype(c4782,int0) & (card(c4782,int1) & (sort(c4782,io) & (sort(c4782,d) & (varia(computersystem_1_1,varia_c) & (refer(computersystem_1_1,refer_c) & (quant(computersystem_1_1,one) & (gener(computersystem_1_1,ge) & (fact(computersystem_1_1,real) & (etype(computersystem_1_1,int0) & (card(computersystem_1_1,int1) & (sort(computersystem_1_1,io) & (varia(c4679,varia_c) & (refer(c4679,det) & (quant(c4679,one) & (gener(c4679,sp) & (fact(c4679,real) & (etype(c4679,int0) & (card(c4679,int1) & (sort(c4679,io) & (sub(luftschadstoff_1_1,schadstoff_1_1) & (assoc(luftschadstoff_1_1,luft__1_1) & (tupl_p6(c5051,c4679,c4782,c4788,c4809,c4812) & (pred(c4812,luftschadstoff_1_1) & (preds(c4809,emission_1_1) & (pred(c4792,motor__1_1) & (attch(c4792,c4788) & (sub(c4788,leistung_1_1) & (val(c4783,bmw_0) & (sub(c4783,name_1_1) & (sub(c4782,firma_1_1) & (attr(c4782,c4783) & sub(c4679,computersystem_1_1)))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.20/0.54 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_wp_487'])).
% 0.20/0.54 fof('ave07_era5_synth_qa07_007_mira_wp_487', hypothesis, (((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((sub(c4679,computersystem_1_1) & attr(c4782,c4783)) & sub(c4782,firma_1_1)) & sub(c4783,name_1_1)) & val(c4783,bmw_0)) & sub(c4788,leistung_1_1)) & attch(c4792,c4788)) & pred(c4792,motor__1_1)) & preds(c4809,emission_1_1)) & pred(c4812,luftschadstoff_1_1)) & tupl_p6(c5051,c4679,c4782,c4788,c4809,c4812)) & assoc(luftschadstoff_1_1,luft__1_1)) & sub(luftschadstoff_1_1,schadstoff_1_1)) & sort(c4679,io)) & card(c4679,int1)) & etype(c4679,int0)) & fact(c4679,real)) & gener(c4679,sp)) & quant(c4679,one)) & refer(c4679,det)) & varia(c4679,varia_c)) & sort(computersystem_1_1,io)) & card(computersystem_1_1,int1)) & etype(computersystem_1_1,int0)) & fact(computersystem_1_1,real)) & gener(computersystem_1_1,ge)) & quant(computersystem_1_1,one)) & refer(computersystem_1_1,refer_c)) & varia(computersystem_1_1,varia_c)) & sort(c4782,d)) & sort(c4782,io)) & card(c4782,int1)) & etype(c4782,int0)) & fact(c4782,real)) & gener(c4782,sp)) & quant(c4782,one)) & refer(c4782,det)) & varia(c4782,con)) & sort(c4783,na)) & card(c4783,int1)) & etype(c4783,int0)) & fact(c4783,real)) & gener(c4783,sp)) & quant(c4783,one)) & refer(c4783,indet)) & varia(c4783,varia_c)) & sort(firma_1_1,d)) & sort(firma_1_1,io)) & card(firma_1_1,int1)) & etype(firma_1_1,int0)) & fact(firma_1_1,real)) & gener(firma_1_1,ge)) & quant(firma_1_1,one)) & refer(firma_1_1,refer_c)) & varia(firma_1_1,varia_c)) & sort(name_1_1,na)) & card(name_1_1,int1)) & etype(name_1_1,int0)) & fact(name_1_1,real)) & gener(name_1_1,ge)) & quant(name_1_1,one)) & refer(name_1_1,refer_c)) & varia(name_1_1,varia_c)) & sort(bmw_0,fe)) & sort(c4788,ad)) & sort(c4788,io)) & card(c4788,int1)) & etype(c4788,int0)) & fact(c4788,real)) & gener(c4788,sp)) & quant(c4788,one)) & refer(c4788,det)) & varia(c4788,con)) & sort(leistung_1_1,ad)) & sort(leistung_1_1,io)) & card(leistung_1_1,int1)) & etype(leistung_1_1,int0)) & fact(leistung_1_1,real)) & gener(leistung_1_1,ge)) & quant(leistung_1_1,one)) & refer(leistung_1_1,refer_c)) & varia(leistung_1_1,varia_c)) & sort(c4792,d)) & card(c4792,cons(x_constant,cons(int1,nil)))) & etype(c4792,int1)) & fact(c4792,real)) & gener(c4792,sp)) & quant(c4792,mult)) & refer(c4792,det)) & varia(c4792,con)) & 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(c4809,ad)) & card(c4809,cons(x_constant,cons(int1,nil)))) & etype(c4809,int1)) & fact(c4809,real)) & gener(c4809,sp)) & quant(c4809,mult)) & refer(c4809,det)) & varia(c4809,con)) & sort(emission_1_1,ad)) & card(emission_1_1,int1)) & etype(emission_1_1,int0)) & fact(emission_1_1,real)) & gener(emission_1_1,ge)) & quant(emission_1_1,one)) & refer(emission_1_1,refer_c)) & varia(emission_1_1,varia_c)) & sort(c4812,o)) & card(c4812,cons(x_constant,cons(int1,nil)))) & etype(c4812,int1)) & fact(c4812,real)) & gener(c4812,gener_c)) & quant(c4812,mult)) & refer(c4812,indet)) & varia(c4812,varia_c)) & sort(luftschadstoff_1_1,o)) & card(luftschadstoff_1_1,int1)) & etype(luftschadstoff_1_1,int0)) & fact(luftschadstoff_1_1,real)) & gener(luftschadstoff_1_1,ge)) & quant(luftschadstoff_1_1,one)) & refer(luftschadstoff_1_1,refer_c)) & varia(luftschadstoff_1_1,varia_c)) & sort(c5051,ent)) & card(c5051,card_c)) & etype(c5051,etype_c)) & fact(c5051,real)) & gener(c5051,gener_c)) & quant(c5051,quant_c)) & refer(c5051,refer_c)) & varia(c5051,varia_c)) & sort(luft__1_1,s)) & card(luft__1_1,int1)) & etype(luft__1_1,int0)) & fact(luft__1_1,real)) & gener(luft__1_1,ge)) & quant(luft__1_1,one)) & refer(luft__1_1,refer_c)) & varia(luft__1_1,varia_c)) & sort(schadstoff_1_1,s)) & card(schadstoff_1_1,int1)) & etype(schadstoff_1_1,int0)) & fact(schadstoff_1_1,real)) & gener(schadstoff_1_1,ge)) & quant(schadstoff_1_1,one)) & refer(schadstoff_1_1,refer_c)) & varia(schadstoff_1_1,varia_c)),
% 0.20/0.54 input).
% 0.20/0.54 fof('synth_qa07_007_mira_wp_487_$sk', plain, (~val(X7,bmw_0) | (~val(X1,bmw_0) | (~sub(X7,name_1_1) | (~sub(X2,firma_1_1) | (~sub(X1,name_1_1) | (~obj(X3,X2) | (~attr(X6,X5) | (~attr(X4,X7) | ~attr(X2,X1))))))))),
% 0.20/0.54 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_wp_487'])).
% 0.20/0.54 fof('synth_qa07_007_mira_wp_487', 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)) & val(X1,bmw_0)) & val(X2,bmw_0))),
% 0.20/0.54 input).
% 0.20/0.54 fof('$inc_attr_val_name_1_1__name_rel_$sk', plain, (name(X3,X2) | (~val(X1,X2) | (~sub(X1,name_1_1) | ~attr(X3,X1)))),
% 0.20/0.54 inference(negpush_and_skolemize,[],['$inc_attr_val_name_1_1__name_rel'])).
% 0.20/0.54 fof('$inc_attr_val_name_1_1__name_rel', axiom, (! [X0,X1,X2] : (((attr(X2,X0) & sub(X0,name_1_1)) & val(X0,X1)) => name(X2,X1))),
% 0.20/0.54 input).
% 0.20/0.54 fof('$inc_name_rel__attr_val_name_1_1_$sk', plain, ((val($sk3(X1,X2),X2) & (sub($sk3(X1,X2),name_1_1) & attr(X1,$sk3(X1,X2)))) | ~name(X1,X2)),
% 0.20/0.54 inference(negpush_and_skolemize,[],['$inc_name_rel__attr_val_name_1_1'])).
% 0.20/0.54 fof('$inc_name_rel__attr_val_name_1_1', axiom, (! [X0,X1] : (name(X1,X0) => (? [X2] : ((attr(X1,X2) & sub(X2,name_1_1)) & val(X2,X0))))),
% 0.20/0.54 input).
% 0.20/0.54 fof('$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($sk7(X1,X2,X3),X1)))))))) | (~subr(X2,sub_0) | (~arg2(X2,X3) | ~arg1(X2,X1)))),
% 0.20/0.54 inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.20/0.54 fof('$inc_sub__bezeichnen_1_1_als', axiom, (! [X0,X1,X2] : (((arg1(X0,X1) & arg2(X0,X2)) & subr(X0,sub_0)) => (? [X3,X4,X5] : (((((((arg1(X4,X1) & arg2(X4,X5)) & hsit(X0,X3)) & mcont(X3,X4)) & obj(X3,X1)) & sub(X5,X2)) & subr(X4,rprs_0)) & subs(X3,bezeichnen_1_1))))),
% 0.20/0.54 input).
% 0.20/0.54 fof('$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)),
% 0.20/0.54 inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.20/0.54 fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.20/0.54 input).
% 0.20/0.54 cnf('1', plain, (attr(c4782,c4783)),
% 0.20/0.54 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_487_$sk'])).
% 0.20/0.54 cnf('2', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(U,V) | ~attr(W,X) | ~obj(X2006,W) | ~sub(W,firma_1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 0.20/0.54 inference(cnf_transformation,[],['synth_qa07_007_mira_wp_487_$sk'])).
% 0.20/0.54 cnf('3', plain, (val(c4783,bmw_0)),
% 0.20/0.54 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_487_$sk'])).
% 0.20/0.54 cnf('4', plain, (sub(c4782,firma_1_1)),
% 0.20/0.54 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_487_$sk'])).
% 0.20/0.54 cnf('5', plain, (sub(c4783,name_1_1)),
% 0.20/0.54 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_487_$sk'])).
% 0.20/0.54 cnf('6', plain, (~val(X,bmw_0) | ~attr(Y,Z) | ~attr(U,X) | ~obj(V,c4782) | ~sub(X,name_1_1)),
% 0.20/0.54 inference(resolution,[then_simplify],['1','2','3','4','5'])).
% 0.20/0.54 cnf('7', plain, (~val(X,Y) | ~attr(Z,X) | ~sub(X,name_1_1) | name(Z,Y)),
% 0.20/0.54 inference(cnf_transformation,[],['$inc_attr_val_name_1_1__name_rel_$sk'])).
% 0.20/0.54 cnf('8', plain, (val(c4783,bmw_0)),
% 0.20/0.54 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_487_$sk'])).
% 0.20/0.54 cnf('9', plain, (~attr(X,c4783) | name(X,bmw_0)),
% 0.20/0.54 inference(resolution,[then_simplify],['7','8','5'])).
% 0.20/0.54 cnf('10', plain, (name(c4782,bmw_0)),
% 0.20/0.54 inference(resolution,[],['9','1'])).
% 0.20/0.54 cnf('11', plain, (attr(X,$sk3(X,Y)) | ~name(X,Y)),
% 0.20/0.54 inference(cnf_transformation,[],['$inc_name_rel__attr_val_name_1_1_$sk'])).
% 0.20/0.54 cnf('12', plain, (attr(c4782,$sk3(c4782,bmw_0))),
% 0.20/0.54 inference(resolution,[],['10','11'])).
% 0.20/0.54 cnf('13', plain, (val($sk3(X,Y),Y) | ~name(X,Y)),
% 0.20/0.54 inference(cnf_transformation,[],['$inc_name_rel__attr_val_name_1_1_$sk'])).
% 0.20/0.54 cnf('14', plain, (val($sk3(c4782,bmw_0),bmw_0)),
% 0.20/0.54 inference(resolution,[],['10','13'])).
% 0.20/0.54 cnf('15', plain, (sub($sk3(X,Y),name_1_1) | ~name(X,Y)),
% 0.20/0.54 inference(cnf_transformation,[],['$inc_name_rel__attr_val_name_1_1_$sk'])).
% 0.20/0.54 cnf('16', plain, (sub($sk3(c4782,bmw_0),name_1_1)),
% 0.20/0.54 inference(resolution,[],['10','15'])).
% 0.20/0.54 cnf('17', plain, (~attr(X,Y) | ~obj(Z,c4782)),
% 0.20/0.54 inference(resolution,[then_simplify],['6','12','14','16'])).
% 0.20/0.54 cnf('18', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.20/0.54 inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.20/0.54 cnf('19', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.20/0.54 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.54 cnf('20', plain, (sub(c4782,firma_1_1)),
% 0.20/0.54 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_487_$sk'])).
% 0.20/0.54 cnf('21', plain, (arg2($sk6(c4782,firma_1_1),firma_1_1)),
% 0.20/0.54 inference(resolution,[],['19','20'])).
% 0.20/0.54 cnf('22', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.20/0.54 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.54 cnf('23', plain, (subr($sk6(c4782,firma_1_1),sub_0)),
% 0.20/0.54 inference(resolution,[],['22','20'])).
% 0.20/0.54 cnf('24', plain, (obj($sk9(X,$sk6(c4782,firma_1_1),firma_1_1),X) | ~arg1($sk6(c4782,firma_1_1),X)),
% 0.20/0.54 inference(resolution,[then_simplify],['18','21','23'])).
% 0.20/0.54 cnf('25', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.20/0.54 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.54 cnf('26', plain, (arg1($sk6(c4782,firma_1_1),c4782)),
% 0.20/0.54 inference(resolution,[],['25','20'])).
% 0.20/0.54 cnf('27', plain, (obj($sk9(c4782,$sk6(c4782,firma_1_1),firma_1_1),c4782)),
% 0.20/0.54 inference(resolution,[],['24','26'])).
% 0.20/0.54 cnf('28', plain, ($false),
% 0.20/0.54 inference(resolution,[then_simplify],['17','12','27'])).
% 0.20/0.54
% 0.20/0.54 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.54
% 0.20/0.54 run 7 fork 6 statistics:
% 0.20/0.54 ----------------------------------
% 0.20/0.54 this run seconds: 0.043308
% 0.20/0.54 total seconds: 0.078067
% 0.20/0.54 stat_given_used: 1649
% 0.20/0.54 stat_given_used_at_endgame: 0
% 0.20/0.54 stat_given_candidates: 2111
% 0.20/0.54 stat_given_candidates_at_endgame: 0
% 0.20/0.54 stat_given_candidates_h: 0
% 0.20/0.54 stat_binres_derived_cl: 3312
% 0.20/0.54 stat_binres_derived_cl_h: 0
% 0.20/0.54 stat_factor_derived_cl: 9
% 0.20/0.54 stat_para_derived_cl: 0
% 0.20/0.54 stat_tautologies_discarded: 3
% 0.20/0.54 stat_forward_subsumed: 68
% 0.20/0.54 stat_derived_cut: 403
% 0.20/0.54 stat_derived_rewritten: 0
% 0.20/0.54 stat_weight_discarded_building: 0
% 0.20/0.54 stat_weight_discarded_cl: 0
% 0.20/0.54 stat_internlimit_discarded_cl: 0
% 0.20/0.54 stat_simplified: 0 simplified 0 derived 0 given
% 0.20/0.54 stat_kept_cl: 3249
% 0.20/0.54 stat_built_cl: 6547
% 0.20/0.54 stat_hyperres_partial_cl: 0
% 0.20/0.54 stat_made_rewriters: 0
% 0.20/0.54 stat_backward_subsumed: 0
% 0.20/0.54 stat_propagated_subsumed: 0
% 0.20/0.54 stat_clsubs_attempted: 6924
% 0.20/0.54 stat_clsubs_fact_groundunit_found: 239
% 0.20/0.54 stat_clsubs_rule_groundunit_found: 3
% 0.20/0.54 stat_clsubs_top_meta_attempted: 795422
% 0.20/0.54 stat_clsubs_top_meta_failed: 788498
% 0.20/0.54 stat_clsubs_top_meta_nonpref_attempted: 795422
% 0.20/0.54 stat_clsubs_top_meta_nonpref_succeeded: 372936
% 0.20/0.54 stat_clsubs_top_meta_pref_attempted: 372936
% 0.20/0.54 stat_clsubs_top_meta_pref1_succeeded: 19318
% 0.20/0.54 stat_clsubs_top_meta_pref2_succeeded: 8232
% 0.20/0.54 stat_clsubs_top_meta_pref3_succeeded: 6924
% 0.20/0.54 stat_clsubs_top_meta_pref_succeeded: 6924
% 0.20/0.54 stat_clsubs_meta_attempted: 11532
% 0.20/0.54 stat_clsubs_meta_failed: 4994
% 0.20/0.54 stat_clsubs_predsymbs_attempted: 0
% 0.20/0.54 stat_clsubs_unit_attempted: 299
% 0.20/0.54 stat_clsubs_full_attempted: 6625
% 0.20/0.54 stat_forwardsubs_attempted: 3318
% 0.20/0.54 stat_lit_hash_added: 3509
% 0.20/0.54 stat_lit_hash_computed: 27801
% 0.20/0.54 stat_lit_hash_match_found: 720
% 0.20/0.54 stat_lit_hash_match_miss: 35052
% 0.20/0.54 stat_lit_hash_cut_ok: 410
% 0.20/0.54 stat_lit_strong_cut_ok: 1
% 0.20/0.54 stat_lit_hash_subsume_ok: 68
% 0.20/0.54 clqueue els 10000000 used 1
% 0.20/0.54 clactive els 10000000 used 1650
% 0.20/0.54 clactivesubsume els 10000000 used 6523
% 0.20/0.54 queue_termbuf els 200000000 used 216197
% 0.20/0.54 hyper_termbuf els 100000000 used 1
% 0.20/0.54 active_termbuf els 100000000 used 42485
% 0.20/0.54 varstack els 5000 last used 1
% 0.20/0.54 given_termbuf els 10000000 last used 1
% 0.20/0.54 simplified_termbuf els 10000000 last used 1
% 0.20/0.54 derived_termbuf els 10000000 last used 22
% 0.20/0.54 wr_mallocs: 13590
% 0.20/0.54 wr_callocs: 21
% 0.20/0.54 wr_reallocs: 784
% 0.20/0.54 wr_frees: 4
% 0.20/0.54 wr_malloc_bytes: 4163072532
% 0.20/0.54 wr_calloc_bytes: 112065536
% 0.20/0.54 wr_realloc_bytes: 780856
% 0.20/0.54 wr_realloc_freebytes: 0
% 0.20/0.54 ----------------------------------
%------------------------------------------------------------------------------