TSTP Solution File: CSR115+40 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+40 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n006.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 21:24:28 EDT 2023
% Result : Theorem 0.20s 0.53s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.07/0.12 % Problem : CSR115+40 : TPTP v8.1.2. Released v4.0.0.
% 0.07/0.13 % Command : gkc %s
% 0.13/0.34 % Computer : n006.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 14:01:21 EDT 2023
% 0.13/0.34 % CPUTime :
% 0.20/0.47
% 0.20/0.47 input clause set summed statistics:
% 0.20/0.47 ----------------------------------
% 0.20/0.47 in_clause_count: 10551
% 0.20/0.47 in_rule_clause_count: 336
% 0.20/0.47 in_fact_clause_count: 10215
% 0.20/0.47 in_answer_clause_count: 0
% 0.20/0.47 in_ground_clause_count: 10215
% 0.20/0.47 in_unit_clause_count: 10217
% 0.20/0.47 in_horn_clause_count: 10541
% 0.20/0.47 in_pos_clause_count: 10221
% 0.20/0.47 in_neg_clause_count: 11
% 0.20/0.47 in_poseq_clause_count: 0
% 0.20/0.47 in_negeq_clause_count: 0
% 0.20/0.47 in_unitposeq_clause_count: 0
% 0.20/0.47 in_chain_clause_count: 0
% 0.20/0.47 in_min_length: 1
% 0.20/0.47 in_max_length: 9
% 0.20/0.47 in_min_depth: 1
% 0.20/0.47 in_max_depth: 5
% 0.20/0.47 in_min_size: 3
% 0.20/0.47 in_max_size: 30
% 0.20/0.47 in_min_vars: 0
% 0.20/0.47 in_max_vars: 7
% 0.20/0.47 in_extaxiom_count: 10394
% 0.20/0.47 in_axiom_count: 0
% 0.20/0.47 in_assumption_count: 156
% 0.20/0.47 in_goal_count: 1
% 0.20/0.47 in_neg_goal_count: 1
% 0.20/0.47 in_pos_goal_count: 0
% 0.20/0.47 in_posunit_goal_count: 0
% 0.20/0.47
% 0.20/0.47 auto guide:
% 0.20/0.47 -----------
% 0.20/0.47 {
% 0.20/0.47 "print":1,
% 0.20/0.47 "print_level": 15,
% 0.20/0.47 "max_size": 0,
% 0.20/0.47 "max_depth": 0,
% 0.20/0.47 "max_length": 0,
% 0.20/0.47 "max_dseconds": 0,
% 0.20/0.47 "equality":0,
% 0.20/0.47 "runs":[
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.47
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.20/0.47 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.20/0.47
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.20/0.47 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.20/0.47
% 0.20/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.47
% 0.20/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.20/0.47
% 0.20/0.47 ]}
% 0.20/0.47
% 0.20/0.47
% 0.20/0.47 **** run 1 fork 0 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.20/0.47
% 0.20/0.47 **** run 2 fork 1 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.20/0.47
% 0.20/0.47 **** run 3 fork 2 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.20/0.47
% 0.20/0.47 **** run 4 fork 3 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.20/0.47
% 0.20/0.47 **** run 5 fork 4 starts with strategy
% 0.20/0.47 {"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}
% 0.20/0.53
% 0.20/0.53
% 0.20/0.53 result: proof found
% 0.20/0.53 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.53 by run 7 fork 6 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.20/0.53 % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.53
% 0.20/0.53 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.53 fof('ave07_era5_synth_qa07_007_mira_news_1243_$sk', plain, (sort(rover_0,fe) & (sort(britisch__1_1,nq) & (varia(c843,varia_c) & (refer(c843,indet) & (quant(c843,one) & (gener(c843,sp) & (fact(c843,real) & (etype(c843,int0) & (card(c843,int1) & (sort(c843,na) & (varia(c842,con) & (refer(c842,det) & (quant(c842,one) & (gener(c842,sp) & (fact(c842,real) & (etype(c842,int0) & (card(c842,int1) & (sort(c842,io) & (sort(c842,d) & (gener(bekanntgeben_1_1,ge) & (fact(bekanntgeben_1_1,real) & (sort(bekanntgeben_1_1,da) & (gener(c840,sp) & (fact(c840,real) & (sort(c840,da) & (varia(ankauf__1_1,varia_c) & (refer(ankauf__1_1,refer_c) & (quant(ankauf__1_1,one) & (gener(ankauf__1_1,ge) & (fact(ankauf__1_1,real) & (etype(ankauf__1_1,int0) & (card(ankauf__1_1,int1) & (sort(ankauf__1_1,ad) & (varia(c799,con) & (refer(c799,det) & (quant(c799,one) & (gener(c799,sp) & (fact(c799,hypo) & (etype(c799,int0) & (card(c799,int1) & (sort(c799,ad) & (varia(ja_nuar_1_1,varia_c) & (refer(ja_nuar_1_1,refer_c) & (quant(ja_nuar_1_1,one) & (gener(ja_nuar_1_1,ge) & (fact(ja_nuar_1_1,real) & (etype(ja_nuar_1_1,int0) & (card(ja_nuar_1_1,int1) & (sort(ja_nuar_1_1,ta) & (varia(c792,varia_c) & (refer(c792,refer_c) & (quant(c792,one) & (gener(c792,sp) & (fact(c792,real) & (etype(c792,int0) & (card(c792,int1) & (sort(c792,ta) & (varia(abschlu__337_1_1,varia_c) & (refer(abschlu__337_1_1,refer_c) & (quant(abschlu__337_1_1,one) & (gener(abschlu__337_1_1,ge) & (fact(abschlu__337_1_1,real) & (etype(abschlu__337_1_1,int0) & (card(abschlu__337_1_1,int1) & (sort(abschlu__337_1_1,io) & (sort(abschlu__337_1_1,ad) & (varia(c791,varia_c) & (refer(c791,refer_c) & (quant(c791,one) & (gener(c791,gener_c) & (fact(c791,real) & (etype(c791,int0) & (card(c791,int1) & (sort(c791,io) & (sort(c791,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(c789,varia_c) & (refer(c789,indet) & (quant(c789,one) & (gener(c789,sp) & (fact(c789,real) & (etype(c789,int0) & (card(c789,int1) & (sort(c789,na) & (varia(c788,con) & (refer(c788,det) & (quant(c788,one) & (gener(c788,sp) & (fact(c788,real) & (etype(c788,int0) & (card(c788,int1) & (sort(c788,io) & (sort(c788,d) & (varia(fabrikant_1_1,varia_c) & (refer(fabrikant_1_1,refer_c) & (quant(fabrikant_1_1,one) & (gener(fabrikant_1_1,ge) & (fact(fabrikant_1_1,real) & (etype(fabrikant_1_1,int0) & (card(fabrikant_1_1,int1) & (sort(fabrikant_1_1,io) & (sort(fabrikant_1_1,d) & (varia(auto__1_1,varia_c) & (refer(auto__1_1,refer_c) & (quant(auto__1_1,one) & (gener(auto__1_1,ge) & (fact(auto__1_1,real) & (etype(auto__1_1,int0) & (card(auto__1_1,int1) & (sort(auto__1_1,d) & (varia(autobauer_1_1,varia_c) & (refer(autobauer_1_1,refer_c) & (quant(autobauer_1_1,one) & (gener(autobauer_1_1,ge) & (fact(autobauer_1_1,real) & (etype(autobauer_1_1,int0) & (card(autobauer_1_1,int1) & (sort(autobauer_1_1,io) & (sort(autobauer_1_1,d) & (val(c843,rover_0) & (sub(c843,name_1_1) & (sub(c842,autobauer_1_1) & (prop(c842,britisch__1_1) & (attr(c842,c843) & (attch(c842,c799) & (temp(c840,c792) & (subs(c840,bekanntgeben_1_1) & (mcont(c840,c799) & (agt(c840,c788) & (subs(c799,ankauf__1_1) & (sub(c792,ja_nuar_1_1) & (assoc(c792,c791) & (sub(c791,abschlu__337_1_1) & (val(c789,bmw_0) & (sub(c789,name_1_1) & (sub(c788,firma_1_1) & (attr(c788,c789) & (sub(autobauer_1_1,fabrikant_1_1) & assoc(autobauer_1_1,auto__1_1)))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.20/0.53 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1243'])).
% 0.20/0.53 fof('ave07_era5_synth_qa07_007_mira_news_1243', hypothesis, (((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((assoc(autobauer_1_1,auto__1_1) & sub(autobauer_1_1,fabrikant_1_1)) & attr(c788,c789)) & sub(c788,firma_1_1)) & sub(c789,name_1_1)) & val(c789,bmw_0)) & sub(c791,abschlu__337_1_1)) & assoc(c792,c791)) & sub(c792,ja_nuar_1_1)) & subs(c799,ankauf__1_1)) & agt(c840,c788)) & mcont(c840,c799)) & subs(c840,bekanntgeben_1_1)) & temp(c840,c792)) & attch(c842,c799)) & attr(c842,c843)) & prop(c842,britisch__1_1)) & sub(c842,autobauer_1_1)) & sub(c843,name_1_1)) & val(c843,rover_0)) & sort(autobauer_1_1,d)) & sort(autobauer_1_1,io)) & card(autobauer_1_1,int1)) & etype(autobauer_1_1,int0)) & fact(autobauer_1_1,real)) & gener(autobauer_1_1,ge)) & quant(autobauer_1_1,one)) & refer(autobauer_1_1,refer_c)) & varia(autobauer_1_1,varia_c)) & sort(auto__1_1,d)) & card(auto__1_1,int1)) & etype(auto__1_1,int0)) & fact(auto__1_1,real)) & gener(auto__1_1,ge)) & quant(auto__1_1,one)) & refer(auto__1_1,refer_c)) & varia(auto__1_1,varia_c)) & sort(fabrikant_1_1,d)) & sort(fabrikant_1_1,io)) & card(fabrikant_1_1,int1)) & etype(fabrikant_1_1,int0)) & fact(fabrikant_1_1,real)) & gener(fabrikant_1_1,ge)) & quant(fabrikant_1_1,one)) & refer(fabrikant_1_1,refer_c)) & varia(fabrikant_1_1,varia_c)) & sort(c788,d)) & sort(c788,io)) & card(c788,int1)) & etype(c788,int0)) & fact(c788,real)) & gener(c788,sp)) & quant(c788,one)) & refer(c788,det)) & varia(c788,con)) & sort(c789,na)) & card(c789,int1)) & etype(c789,int0)) & fact(c789,real)) & gener(c789,sp)) & quant(c789,one)) & refer(c789,indet)) & varia(c789,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(c791,ad)) & sort(c791,io)) & card(c791,int1)) & etype(c791,int0)) & fact(c791,real)) & gener(c791,gener_c)) & quant(c791,one)) & refer(c791,refer_c)) & varia(c791,varia_c)) & sort(abschlu__337_1_1,ad)) & sort(abschlu__337_1_1,io)) & card(abschlu__337_1_1,int1)) & etype(abschlu__337_1_1,int0)) & fact(abschlu__337_1_1,real)) & gener(abschlu__337_1_1,ge)) & quant(abschlu__337_1_1,one)) & refer(abschlu__337_1_1,refer_c)) & varia(abschlu__337_1_1,varia_c)) & sort(c792,ta)) & card(c792,int1)) & etype(c792,int0)) & fact(c792,real)) & gener(c792,sp)) & quant(c792,one)) & refer(c792,refer_c)) & varia(c792,varia_c)) & sort(ja_nuar_1_1,ta)) & card(ja_nuar_1_1,int1)) & etype(ja_nuar_1_1,int0)) & fact(ja_nuar_1_1,real)) & gener(ja_nuar_1_1,ge)) & quant(ja_nuar_1_1,one)) & refer(ja_nuar_1_1,refer_c)) & varia(ja_nuar_1_1,varia_c)) & sort(c799,ad)) & card(c799,int1)) & etype(c799,int0)) & fact(c799,hypo)) & gener(c799,sp)) & quant(c799,one)) & refer(c799,det)) & varia(c799,con)) & sort(ankauf__1_1,ad)) & card(ankauf__1_1,int1)) & etype(ankauf__1_1,int0)) & fact(ankauf__1_1,real)) & gener(ankauf__1_1,ge)) & quant(ankauf__1_1,one)) & refer(ankauf__1_1,refer_c)) & varia(ankauf__1_1,varia_c)) & sort(c840,da)) & fact(c840,real)) & gener(c840,sp)) & sort(bekanntgeben_1_1,da)) & fact(bekanntgeben_1_1,real)) & gener(bekanntgeben_1_1,ge)) & sort(c842,d)) & sort(c842,io)) & card(c842,int1)) & etype(c842,int0)) & fact(c842,real)) & gener(c842,sp)) & quant(c842,one)) & refer(c842,det)) & varia(c842,con)) & sort(c843,na)) & card(c843,int1)) & etype(c843,int0)) & fact(c843,real)) & gener(c843,sp)) & quant(c843,one)) & refer(c843,indet)) & varia(c843,varia_c)) & sort(britisch__1_1,nq)) & sort(rover_0,fe)),
% 0.20/0.53 input).
% 0.20/0.53 fof('synth_qa07_007_mira_news_1243_$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) | (~attr(X3,X4) | (~attr(X6,X7) | (~attr(X2,X1) | ~agt(X5,X6))))))))),
% 0.20/0.53 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1243'])).
% 0.20/0.53 fof('synth_qa07_007_mira_news_1243', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : ((((((((agt(X4,X3) & attr(X0,X1)) & attr(X3,X2)) & attr(X5,X6)) & sub(X1,name_1_1)) & sub(X0,firma_1_1)) & sub(X2,name_1_1)) & val(X1,bmw_0)) & val(X2,bmw_0))),
% 0.20/0.53 input).
% 0.20/0.53 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)))),
% 0.20/0.53 inference(negpush_and_skolemize,[],['$inc_attr_val_name_1_1__name_rel'])).
% 0.20/0.53 fof('$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))),
% 0.20/0.53 input).
% 0.20/0.53 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,$sk3(X1,X2)))) | ~name(X1,X2)),
% 0.20/0.53 inference(negpush_and_skolemize,[],['$inc_name_rel__attr_val_name_1_1'])).
% 0.20/0.53 fof('$inc_name_rel__attr_val_name_1_1', axiom, (! [X0,X1] : (name(X1,X0) => (? [X2] : ((attr(X1,X2) & sub(X2,name_1_1)) & val(X2,X0))))),
% 0.20/0.53 input).
% 0.20/0.53 fof('$inc_state_adjective__in_state_$sk', plain, ((val($sk16(X1,X2,X3),X3) & (sub($sk16(X1,X2,X3),name_1_1) & (sub($sk15(X1,X2,X3),land_1_1) & (loc(X2,$sk14(X1,X2,X3)) & (attr($sk15(X1,X2,X3),$sk16(X1,X2,X3)) & in($sk14(X1,X2,X3),$sk15(X1,X2,X3))))))) | (~state_adjective_state_binding(X1,X3) | ~prop(X2,X1))),
% 0.20/0.53 inference(negpush_and_skolemize,[],['$inc_state_adjective__in_state'])).
% 0.20/0.53 fof('$inc_state_adjective__in_state', axiom, (! [X0,X1,X2] : ((prop(X0,X1) & state_adjective_state_binding(X1,X2)) => (? [X3,X4,X5] : (((((in(X5,X3) & attr(X3,X4)) & loc(X0,X5)) & sub(X3,land_1_1)) & sub(X4,name_1_1)) & val(X4,X2))))),
% 0.20/0.53 input).
% 0.20/0.53 fof('$inc_fact_8846', axiom, state_adjective_state_binding(britisch__1_1,grossbritannien_0),
% 0.20/0.53 input).
% 0.20/0.53 cnf('1', plain, (attr(c788,c789)),
% 0.20/0.53 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1243_$sk'])).
% 0.20/0.53 cnf('2', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(U,V) | ~attr(W,X) | ~agt(X2006,Z) | ~sub(W,firma_1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 0.20/0.53 inference(cnf_transformation,[],['synth_qa07_007_mira_news_1243_$sk'])).
% 0.20/0.53 cnf('3', plain, (val(c789,bmw_0)),
% 0.20/0.53 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1243_$sk'])).
% 0.20/0.53 cnf('4', plain, (sub(c788,firma_1_1)),
% 0.20/0.53 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1243_$sk'])).
% 0.20/0.53 cnf('5', plain, (sub(c789,name_1_1)),
% 0.20/0.53 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1243_$sk'])).
% 0.20/0.53 cnf('6', plain, (~val(X,bmw_0) | ~attr(Y,Z) | ~attr(U,X) | ~agt(V,U) | ~sub(X,name_1_1)),
% 0.20/0.53 inference(resolution,[then_simplify],['1','2','3','4','5'])).
% 0.20/0.53 cnf('7', plain, (~val(X,Y) | ~attr(Z,X) | ~sub(X,name_1_1) | name(Z,Y)),
% 0.20/0.53 inference(cnf_transformation,[],['$inc_attr_val_name_1_1__name_rel_$sk'])).
% 0.20/0.53 cnf('8', plain, (val(c789,bmw_0)),
% 0.20/0.53 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1243_$sk'])).
% 0.20/0.53 cnf('9', plain, (~attr(X,c789) | name(X,bmw_0)),
% 0.20/0.53 inference(resolution,[then_simplify],['7','8','5'])).
% 0.20/0.53 cnf('10', plain, (name(c788,bmw_0)),
% 0.20/0.53 inference(resolution,[],['9','1'])).
% 0.20/0.53 cnf('11', plain, (attr(X,$sk3(X,Y)) | ~name(X,Y)),
% 0.20/0.53 inference(cnf_transformation,[],['$inc_name_rel__attr_val_name_1_1_$sk'])).
% 0.20/0.53 cnf('12', plain, (attr(c788,$sk3(c788,bmw_0))),
% 0.20/0.53 inference(resolution,[],['10','11'])).
% 0.20/0.53 cnf('13', plain, (val($sk3(X,Y),Y) | ~name(X,Y)),
% 0.20/0.53 inference(cnf_transformation,[],['$inc_name_rel__attr_val_name_1_1_$sk'])).
% 0.20/0.53 cnf('14', plain, (val($sk3(c788,bmw_0),bmw_0)),
% 0.20/0.53 inference(resolution,[],['10','13'])).
% 0.20/0.53 cnf('15', plain, (sub($sk3(X,Y),name_1_1) | ~name(X,Y)),
% 0.20/0.53 inference(cnf_transformation,[],['$inc_name_rel__attr_val_name_1_1_$sk'])).
% 0.20/0.53 cnf('16', plain, (sub($sk3(c788,bmw_0),name_1_1)),
% 0.20/0.53 inference(resolution,[],['10','15'])).
% 0.20/0.53 cnf('17', plain, (~attr(X,Y) | ~agt(Z,c788)),
% 0.20/0.53 inference(resolution,[then_simplify],['6','12','14','16'])).
% 0.20/0.53 cnf('18', plain, (attr($sk15(X,Y,Z),$sk16(X,Y,Z)) | ~state_adjective_state_binding(X,Z) | ~prop(Y,X)),
% 0.20/0.53 inference(cnf_transformation,[],['$inc_state_adjective__in_state_$sk'])).
% 0.20/0.53 cnf('19', plain, (state_adjective_state_binding(britisch__1_1,grossbritannien_0)),
% 0.20/0.53 inference(cnf_transformation,[],['$inc_fact_8846'])).
% 0.20/0.53 cnf('20', plain, (attr($sk15(britisch__1_1,X,grossbritannien_0),$sk16(britisch__1_1,X,grossbritannien_0)) | ~prop(X,britisch__1_1)),
% 0.20/0.53 inference(resolution,[],['18','19'])).
% 0.20/0.53 cnf('21', plain, (prop(c842,britisch__1_1)),
% 0.20/0.53 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1243_$sk'])).
% 0.20/0.53 cnf('22', plain, (attr($sk15(britisch__1_1,c842,grossbritannien_0),$sk16(britisch__1_1,c842,grossbritannien_0))),
% 0.20/0.53 inference(resolution,[],['20','21'])).
% 0.20/0.53 cnf('23', plain, (val($sk16(X,Y,Z),Z) | ~state_adjective_state_binding(X,Z) | ~prop(Y,X)),
% 0.20/0.53 inference(cnf_transformation,[],['$inc_state_adjective__in_state_$sk'])).
% 0.20/0.53 cnf('24', plain, (val($sk16(britisch__1_1,c842,X),X) | ~state_adjective_state_binding(britisch__1_1,X)),
% 0.20/0.53 inference(resolution,[],['23','21'])).
% 0.20/0.53 cnf('25', plain, (val($sk16(britisch__1_1,c842,grossbritannien_0),grossbritannien_0)),
% 0.20/0.53 inference(resolution,[],['24','19'])).
% 0.20/0.53 cnf('26', plain, (sub($sk16(X,Y,Z),name_1_1) | ~state_adjective_state_binding(X,Z) | ~prop(Y,X)),
% 0.20/0.53 inference(cnf_transformation,[],['$inc_state_adjective__in_state_$sk'])).
% 0.20/0.53 cnf('27', plain, (sub($sk16(britisch__1_1,X,grossbritannien_0),name_1_1) | ~prop(X,britisch__1_1)),
% 0.20/0.53 inference(resolution,[],['26','19'])).
% 0.20/0.53 cnf('28', plain, (sub($sk16(britisch__1_1,c842,grossbritannien_0),name_1_1)),
% 0.20/0.53 inference(resolution,[],['27','21'])).
% 0.20/0.53 cnf('29', plain, (~attr(X,$sk16(britisch__1_1,c842,grossbritannien_0)) | name(X,grossbritannien_0)),
% 0.20/0.53 inference(resolution,[then_simplify],['7','25','28'])).
% 0.20/0.53 cnf('30', plain, (name($sk15(britisch__1_1,c842,grossbritannien_0),grossbritannien_0)),
% 0.20/0.53 inference(resolution,[],['22','29'])).
% 0.20/0.53 cnf('31', plain, (attr($sk15(britisch__1_1,c842,grossbritannien_0),$sk3($sk15(britisch__1_1,c842,grossbritannien_0),grossbritannien_0))),
% 0.20/0.53 inference(resolution,[],['30','11'])).
% 0.20/0.53 cnf('32', plain, (agt(c840,c788)),
% 0.20/0.53 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1243_$sk'])).
% 0.20/0.53 cnf('33', plain, ($false),
% 0.20/0.53 inference(resolution,[then_simplify],['17','31','32'])).
% 0.20/0.53
% 0.20/0.53 % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.53
% 0.20/0.53 run 7 fork 6 statistics:
% 0.20/0.53 ----------------------------------
% 0.20/0.53 this run seconds: 0.028050
% 0.20/0.53 total seconds: 0.061578
% 0.20/0.53 stat_given_used: 1432
% 0.20/0.53 stat_given_used_at_endgame: 0
% 0.20/0.53 stat_given_candidates: 1838
% 0.20/0.53 stat_given_candidates_at_endgame: 0
% 0.20/0.53 stat_given_candidates_h: 0
% 0.20/0.53 stat_binres_derived_cl: 1861
% 0.20/0.53 stat_binres_derived_cl_h: 0
% 0.20/0.53 stat_factor_derived_cl: 9
% 0.20/0.53 stat_para_derived_cl: 0
% 0.20/0.53 stat_tautologies_discarded: 3
% 0.20/0.53 stat_forward_subsumed: 69
% 0.20/0.53 stat_derived_cut: 265
% 0.20/0.53 stat_derived_rewritten: 0
% 0.20/0.53 stat_weight_discarded_building: 0
% 0.20/0.53 stat_weight_discarded_cl: 0
% 0.20/0.53 stat_internlimit_discarded_cl: 0
% 0.20/0.53 stat_simplified: 0 simplified 0 derived 0 given
% 0.20/0.53 stat_kept_cl: 1797
% 0.20/0.53 stat_built_cl: 4661
% 0.20/0.53 stat_hyperres_partial_cl: 0
% 0.20/0.53 stat_made_rewriters: 0
% 0.20/0.53 stat_backward_subsumed: 0
% 0.20/0.53 stat_propagated_subsumed: 0
% 0.20/0.53 stat_clsubs_attempted: 5029
% 0.20/0.53 stat_clsubs_fact_groundunit_found: 250
% 0.20/0.53 stat_clsubs_rule_groundunit_found: 0
% 0.20/0.53 stat_clsubs_top_meta_attempted: 544538
% 0.20/0.53 stat_clsubs_top_meta_failed: 539509
% 0.20/0.53 stat_clsubs_top_meta_nonpref_attempted: 544538
% 0.20/0.53 stat_clsubs_top_meta_nonpref_succeeded: 298559
% 0.20/0.53 stat_clsubs_top_meta_pref_attempted: 298559
% 0.20/0.53 stat_clsubs_top_meta_pref1_succeeded: 16681
% 0.20/0.53 stat_clsubs_top_meta_pref2_succeeded: 6441
% 0.20/0.53 stat_clsubs_top_meta_pref3_succeeded: 5029
% 0.20/0.53 stat_clsubs_top_meta_pref_succeeded: 5029
% 0.20/0.53 stat_clsubs_meta_attempted: 8898
% 0.20/0.53 stat_clsubs_meta_failed: 3830
% 0.20/0.53 stat_clsubs_predsymbs_attempted: 0
% 0.20/0.53 stat_clsubs_unit_attempted: 52
% 0.20/0.53 stat_clsubs_full_attempted: 4977
% 0.20/0.53 stat_forwardsubs_attempted: 1867
% 0.20/0.53 stat_lit_hash_added: 2696
% 0.20/0.53 stat_lit_hash_computed: 18222
% 0.20/0.53 stat_lit_hash_match_found: 590
% 0.20/0.53 stat_lit_hash_match_miss: 21895
% 0.20/0.53 stat_lit_hash_cut_ok: 271
% 0.20/0.53 stat_lit_strong_cut_ok: 2
% 0.20/0.53 stat_lit_hash_subsume_ok: 69
% 0.20/0.53 clqueue els 10000000 used 1
% 0.20/0.53 clactive els 10000000 used 1433
% 0.20/0.53 clactivesubsume els 10000000 used 5617
% 0.20/0.53 queue_termbuf els 200000000 used 89406
% 0.20/0.53 hyper_termbuf els 100000000 used 1
% 0.20/0.53 active_termbuf els 100000000 used 33575
% 0.20/0.53 varstack els 5000 last used 1
% 0.20/0.53 given_termbuf els 10000000 last used 1
% 0.20/0.53 simplified_termbuf els 10000000 last used 1
% 0.20/0.53 derived_termbuf els 10000000 last used 22
% 0.20/0.53 wr_mallocs: 12039
% 0.20/0.53 wr_callocs: 21
% 0.20/0.53 wr_reallocs: 567
% 0.20/0.53 wr_frees: 4
% 0.20/0.53 wr_malloc_bytes: 4163015524
% 0.20/0.53 wr_calloc_bytes: 112065536
% 0.20/0.53 wr_realloc_bytes: 738808
% 0.20/0.53 wr_realloc_freebytes: 0
% 0.20/0.53 ----------------------------------
%------------------------------------------------------------------------------