TSTP Solution File: CSR115+79 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+79 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n032.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 0.14s 0.48s
% Output : CNFRefutation 0.14s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.09 % Problem : CSR115+79 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.09 % Command : gkc %s
% 0.10/0.29 % Computer : n032.cluster.edu
% 0.10/0.29 % Model : x86_64 x86_64
% 0.10/0.29 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.10/0.29 % Memory : 8042.1875MB
% 0.10/0.29 % OS : Linux 3.10.0-693.el7.x86_64
% 0.10/0.29 % CPULimit : 300
% 0.10/0.29 % WCLimit : 300
% 0.10/0.29 % DateTime : Mon Aug 28 13:36:30 EDT 2023
% 0.10/0.29 % CPUTime :
% 0.14/0.40
% 0.14/0.40 input clause set summed statistics:
% 0.14/0.40 ----------------------------------
% 0.14/0.40 in_clause_count: 10523
% 0.14/0.40 in_rule_clause_count: 336
% 0.14/0.40 in_fact_clause_count: 10187
% 0.14/0.40 in_answer_clause_count: 0
% 0.14/0.40 in_ground_clause_count: 10187
% 0.14/0.40 in_unit_clause_count: 10189
% 0.14/0.40 in_horn_clause_count: 10513
% 0.14/0.40 in_pos_clause_count: 10193
% 0.14/0.40 in_neg_clause_count: 11
% 0.14/0.40 in_poseq_clause_count: 0
% 0.14/0.40 in_negeq_clause_count: 0
% 0.14/0.40 in_unitposeq_clause_count: 0
% 0.14/0.40 in_chain_clause_count: 0
% 0.14/0.40 in_min_length: 1
% 0.14/0.40 in_max_length: 9
% 0.14/0.40 in_min_depth: 1
% 0.14/0.40 in_max_depth: 5
% 0.14/0.40 in_min_size: 3
% 0.14/0.40 in_max_size: 30
% 0.14/0.40 in_min_vars: 0
% 0.14/0.40 in_max_vars: 7
% 0.14/0.40 in_extaxiom_count: 10394
% 0.14/0.40 in_axiom_count: 0
% 0.14/0.40 in_assumption_count: 128
% 0.14/0.40 in_goal_count: 1
% 0.14/0.40 in_neg_goal_count: 1
% 0.14/0.40 in_pos_goal_count: 0
% 0.14/0.40 in_posunit_goal_count: 0
% 0.14/0.40
% 0.14/0.40 auto guide:
% 0.14/0.40 -----------
% 0.14/0.40 {
% 0.14/0.40 "print":1,
% 0.14/0.40 "print_level": 15,
% 0.14/0.40 "max_size": 0,
% 0.14/0.40 "max_depth": 0,
% 0.14/0.40 "max_length": 0,
% 0.14/0.40 "max_dseconds": 0,
% 0.14/0.40 "equality":0,
% 0.14/0.40 "runs":[
% 0.14/0.40 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.14/0.40 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.14/0.40 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.14/0.40 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.14/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.14/0.40 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.14/0.40 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.14/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.14/0.40 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.14/0.40 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.14/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.14/0.40 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.14/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.14/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.14/0.40 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.14/0.40 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.14/0.40 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.14/0.40 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.14/0.40 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.14/0.40 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.14/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.14/0.40 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.14/0.40 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.14/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.14/0.40 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.14/0.40 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.14/0.40 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.14/0.40
% 0.14/0.40 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.14/0.40 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.14/0.40 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.14/0.40 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.14/0.40 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.14/0.40 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.14/0.40 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.14/0.40 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.14/0.40 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.14/0.40 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.14/0.40 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.14/0.40 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.14/0.40 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.14/0.40 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.14/0.40 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.14/0.40 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.14/0.40 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.14/0.40 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.14/0.40 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.14/0.40 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.14/0.40 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.14/0.40 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.14/0.40 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.14/0.40 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.14/0.40 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.14/0.40 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.14/0.40 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.14/0.40
% 0.14/0.40 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.14/0.40 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.14/0.40 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.14/0.40 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.14/0.40 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.14/0.40 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.14/0.40 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.14/0.40 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.14/0.40 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.14/0.40 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.14/0.40 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.14/0.40 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.14/0.40 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.14/0.40 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.14/0.40 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.14/0.40 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.14/0.40 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.14/0.40 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.14/0.40 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.14/0.40 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.14/0.40 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.14/0.40 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.14/0.40 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.14/0.40 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.14/0.40 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.14/0.40
% 0.14/0.40 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.14/0.40 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.14/0.40 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.14/0.40 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.14/0.40 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.14/0.40
% 0.14/0.40 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.14/0.40 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.14/0.40 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.14/0.40 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.14/0.40 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.14/0.40 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.14/0.40
% 0.14/0.40 ]}
% 0.14/0.40
% 0.14/0.40
% 0.14/0.40 **** run 1 fork 0 starts with strategy
% 0.14/0.40 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.14/0.40
% 0.14/0.40 **** run 2 fork 1 starts with strategy
% 0.14/0.40 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.14/0.40
% 0.14/0.40 **** run 3 fork 2 starts with strategy
% 0.14/0.40 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.14/0.40
% 0.14/0.40 **** run 4 fork 3 starts with strategy
% 0.14/0.40 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.14/0.40
% 0.14/0.40 **** run 5 fork 4 starts with strategy
% 0.14/0.40 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.14/0.40
% 0.14/0.40 **** run 6 fork 5 starts with strategy
% 0.14/0.40 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.14/0.40
% 0.14/0.40 **** run 7 fork 6 starts with strategy
% 0.14/0.40 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.14/0.40
% 0.14/0.40 **** run 8 fork 7 starts with strategy
% 0.14/0.40 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.14/0.48
% 0.14/0.48
% 0.14/0.48 result: proof found
% 0.14/0.48 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.14/0.48 by run 2 fork 1 strategy {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.14/0.48 % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.14/0.48
% 0.14/0.48 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.14/0.48 fof('ave07_era5_synth_qa07_007_mira_wp_489_$sk', plain, (varia(bein_1_1,varia_c) & (refer(bein_1_1,refer_c) & (quant(bein_1_1,one) & (gener(bein_1_1,ge) & (fact(bein_1_1,real) & (etype(bein_1_1,int0) & (card(bein_1_1,int1) & (sort(bein_1_1,d) & (varia(stand_1_1,varia_c) & (refer(stand_1_1,refer_c) & (quant(stand_1_1,one) & (gener(stand_1_1,ge) & (fact(stand_1_1,real) & (etype(stand_1_1,int0) & (card(stand_1_1,int1) & (sort(stand_1_1,d) & (varia(c287,varia_c) & (refer(c287,refer_c) & (quant(c287,quant_c) & (gener(c287,gener_c) & (fact(c287,real) & (etype(c287,etype_c) & (card(c287,card_c) & (sort(c287,ent) & (varia(c142,con) & (refer(c142,det) & (quant(c142,one) & (gener(c142,sp) & (fact(c142,real) & (etype(c142,int0) & (card(c142,int1) & (sort(c142,io) & (sort(c142,d) & (varia(standbein_1_1,varia_c) & (refer(standbein_1_1,refer_c) & (quant(standbein_1_1,one) & (gener(standbein_1_1,ge) & (fact(standbein_1_1,real) & (etype(standbein_1_1,int0) & (card(standbein_1_1,int1) & (sort(standbein_1_1,d) & (varia(c138,con) & (refer(c138,det) & (quant(c138,one) & (gener(c138,sp) & (fact(c138,real) & (etype(c138,int0) & (card(c138,int1) & (sort(c138,d) & (varia(basis_1_1,varia_c) & (refer(basis_1_1,refer_c) & (quant(basis_1_1,one) & (gener(basis_1_1,ge) & (fact(basis_1_1,real) & (etype(basis_1_1,int0) & (card(basis_1_1,int1) & (sort(basis_1_1,io) & (varia(c134,varia_c) & (refer(c134,refer_c) & (quant(c134,one) & (gener(c134,gener_c) & (fact(c134,real) & (etype(c134,int0) & (card(c134,int1) & (sort(c134,io) & (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(c130,varia_c) & (refer(c130,indet) & (quant(c130,one) & (gener(c130,sp) & (fact(c130,real) & (etype(c130,int0) & (card(c130,int1) & (sort(c130,na) & (varia(c129,con) & (refer(c129,det) & (quant(c129,one) & (gener(c129,sp) & (fact(c129,real) & (etype(c129,int0) & (card(c129,int1) & (sort(c129,io) & (sort(c129,d) & (varia(roadster_1_1,varia_c) & (refer(roadster_1_1,refer_c) & (quant(roadster_1_1,one) & (gener(roadster_1_1,ge) & (fact(roadster_1_1,real) & (etype(roadster_1_1,int0) & (card(roadster_1_1,int1) & (sort(roadster_1_1,d) & (varia(c104,varia_c) & (refer(c104,refer_c) & (quant(c104,one) & (gener(c104,gener_c) & (fact(c104,real) & (etype(c104,int0) & (card(c104,int1) & (sort(c104,d) & (sub(standbein_1_1,bein_1_1) & (assoc(standbein_1_1,stand_1_1) & (tupl_p5(c287,c104,c129,c134,c138) & (sub(c142,firma_1_1) & (attch(c142,c138) & (sub(c138,standbein_1_1) & (sub(c134,basis_1_1) & (val(c130,bmw_0) & (sub(c130,name_1_1) & (sub(c129,firma_1_1) & (attr(c129,c130) & sub(c104,roadster_1_1)))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.14/0.48 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_wp_489'])).
% 0.14/0.48 fof('ave07_era5_synth_qa07_007_mira_wp_489', hypothesis, (((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((sub(c104,roadster_1_1) & attr(c129,c130)) & sub(c129,firma_1_1)) & sub(c130,name_1_1)) & val(c130,bmw_0)) & sub(c134,basis_1_1)) & sub(c138,standbein_1_1)) & attch(c142,c138)) & sub(c142,firma_1_1)) & tupl_p5(c287,c104,c129,c134,c138)) & assoc(standbein_1_1,stand_1_1)) & sub(standbein_1_1,bein_1_1)) & sort(c104,d)) & card(c104,int1)) & etype(c104,int0)) & fact(c104,real)) & gener(c104,gener_c)) & quant(c104,one)) & refer(c104,refer_c)) & varia(c104,varia_c)) & sort(roadster_1_1,d)) & card(roadster_1_1,int1)) & etype(roadster_1_1,int0)) & fact(roadster_1_1,real)) & gener(roadster_1_1,ge)) & quant(roadster_1_1,one)) & refer(roadster_1_1,refer_c)) & varia(roadster_1_1,varia_c)) & sort(c129,d)) & sort(c129,io)) & card(c129,int1)) & etype(c129,int0)) & fact(c129,real)) & gener(c129,sp)) & quant(c129,one)) & refer(c129,det)) & varia(c129,con)) & sort(c130,na)) & card(c130,int1)) & etype(c130,int0)) & fact(c130,real)) & gener(c130,sp)) & quant(c130,one)) & refer(c130,indet)) & varia(c130,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(c134,io)) & card(c134,int1)) & etype(c134,int0)) & fact(c134,real)) & gener(c134,gener_c)) & quant(c134,one)) & refer(c134,refer_c)) & varia(c134,varia_c)) & sort(basis_1_1,io)) & card(basis_1_1,int1)) & etype(basis_1_1,int0)) & fact(basis_1_1,real)) & gener(basis_1_1,ge)) & quant(basis_1_1,one)) & refer(basis_1_1,refer_c)) & varia(basis_1_1,varia_c)) & sort(c138,d)) & card(c138,int1)) & etype(c138,int0)) & fact(c138,real)) & gener(c138,sp)) & quant(c138,one)) & refer(c138,det)) & varia(c138,con)) & sort(standbein_1_1,d)) & card(standbein_1_1,int1)) & etype(standbein_1_1,int0)) & fact(standbein_1_1,real)) & gener(standbein_1_1,ge)) & quant(standbein_1_1,one)) & refer(standbein_1_1,refer_c)) & varia(standbein_1_1,varia_c)) & sort(c142,d)) & sort(c142,io)) & card(c142,int1)) & etype(c142,int0)) & fact(c142,real)) & gener(c142,sp)) & quant(c142,one)) & refer(c142,det)) & varia(c142,con)) & sort(c287,ent)) & card(c287,card_c)) & etype(c287,etype_c)) & fact(c287,real)) & gener(c287,gener_c)) & quant(c287,quant_c)) & refer(c287,refer_c)) & varia(c287,varia_c)) & sort(stand_1_1,d)) & card(stand_1_1,int1)) & etype(stand_1_1,int0)) & fact(stand_1_1,real)) & gener(stand_1_1,ge)) & quant(stand_1_1,one)) & refer(stand_1_1,refer_c)) & varia(stand_1_1,varia_c)) & sort(bein_1_1,d)) & card(bein_1_1,int1)) & etype(bein_1_1,int0)) & fact(bein_1_1,real)) & gener(bein_1_1,ge)) & quant(bein_1_1,one)) & refer(bein_1_1,refer_c)) & varia(bein_1_1,varia_c)),
% 0.14/0.48 input).
% 0.14/0.48 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)),
% 0.14/0.48 inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.14/0.48 fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.14/0.48 input).
% 0.14/0.48 fof('synth_qa07_007_mira_wp_489_$sk', plain, (~val(X7,bmw_0) | (~val(X1,bmw_0) | (~sub(X7,name_1_1) | (~sub(X2,firma_1_1) | (~sub(X1,name_1_1) | (~obj(X3,X2) | (~attr(X6,X5) | (~attr(X4,X7) | ~attr(X2,X1))))))))),
% 0.14/0.48 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_wp_489'])).
% 0.14/0.48 fof('synth_qa07_007_mira_wp_489', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : ((((((((attr(X0,X1) & attr(X3,X2)) & attr(X5,X6)) & obj(X4,X0)) & sub(X1,name_1_1)) & sub(X0,firma_1_1)) & sub(X2,name_1_1)) & val(X1,bmw_0)) & val(X2,bmw_0))),
% 0.14/0.48 input).
% 0.14/0.48 fof('$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($sk7(X1,X2,X3),X1)))))))) | (~subr(X2,sub_0) | (~arg2(X2,X3) | ~arg1(X2,X1)))),
% 0.14/0.48 inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.14/0.48 fof('$inc_sub__bezeichnen_1_1_als', axiom, (! [X0,X1,X2] : (((arg1(X0,X1) & arg2(X0,X2)) & subr(X0,sub_0)) => (? [X3,X4,X5] : (((((((arg1(X4,X1) & arg2(X4,X5)) & hsit(X0,X3)) & mcont(X3,X4)) & obj(X3,X1)) & sub(X5,X2)) & subr(X4,rprs_0)) & subs(X3,bezeichnen_1_1))))),
% 0.14/0.48 input).
% 0.14/0.48 cnf('1', plain, (sub(c129,firma_1_1)),
% 0.14/0.48 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_489_$sk'])).
% 0.14/0.48 cnf('2', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.14/0.48 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.14/0.48 cnf('3', plain, (subr($sk6(c129,firma_1_1),sub_0)),
% 0.14/0.48 inference(resolution,[],['1','2'])).
% 0.14/0.48 cnf('4', plain, (attr(c129,c130)),
% 0.14/0.48 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_489_$sk'])).
% 0.14/0.48 cnf('5', plain, (val(c130,bmw_0)),
% 0.14/0.48 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_489_$sk'])).
% 0.14/0.48 cnf('6', 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)),
% 0.14/0.48 inference(cnf_transformation,[],['synth_qa07_007_mira_wp_489_$sk'])).
% 0.14/0.48 cnf('7', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,U) | ~attr(V,X) | ~obj(W,Y) | ~sub(Y,firma_1_1) | ~sub(X,name_1_1)),
% 0.14/0.48 inference(factorization,[],['6'])).
% 0.14/0.48 cnf('8', plain, (sub(c130,name_1_1)),
% 0.14/0.48 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_489_$sk'])).
% 0.14/0.48 cnf('9', plain, (~attr(X,c130) | ~attr(Y,Z) | ~attr(U,c130) | ~obj(V,U) | ~sub(U,firma_1_1)),
% 0.14/0.48 inference(resolution,[then_simplify],['5','7','8'])).
% 0.14/0.48 cnf('10', plain, (~attr(X,c130) | ~attr(Y,Z) | ~obj(U,X) | ~sub(X,firma_1_1)),
% 0.14/0.48 inference(factorization,[],['9'])).
% 0.14/0.48 cnf('11', plain, (~attr(X,c130) | ~obj(Y,X) | ~sub(X,firma_1_1)),
% 0.14/0.48 inference(factorization,[],['10'])).
% 0.14/0.48 cnf('12', plain, (sub(c129,firma_1_1)),
% 0.14/0.48 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_489_$sk'])).
% 0.14/0.48 cnf('13', plain, (~obj(X,c129)),
% 0.14/0.48 inference(resolution,[then_simplify],['4','11','12'])).
% 0.14/0.48 cnf('14', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.14/0.48 inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.14/0.48 cnf('15', plain, (~subr(X,sub_0) | ~arg1(X,c129) | ~arg2(X,Y)),
% 0.14/0.48 inference(resolution,[],['13','14'])).
% 0.14/0.48 cnf('16', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.14/0.48 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.14/0.48 cnf('17', plain, (arg1($sk6(c129,firma_1_1),c129)),
% 0.14/0.48 inference(resolution,[],['1','16'])).
% 0.14/0.48 cnf('18', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.14/0.48 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.14/0.48 cnf('19', plain, (arg2($sk6(c129,firma_1_1),firma_1_1)),
% 0.14/0.48 inference(resolution,[],['1','18'])).
% 0.14/0.48 cnf('20', plain, ($false),
% 0.14/0.48 inference(resolution,[then_simplify],['3','15','17','19'])).
% 0.14/0.48
% 0.14/0.48 % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.14/0.48
% 0.14/0.48 run 2 fork 1 statistics:
% 0.14/0.48 ----------------------------------
% 0.14/0.48 this run seconds: 0.023887
% 0.14/0.48 total seconds: 0.083330
% 0.14/0.48 stat_given_used: 373
% 0.14/0.48 stat_given_used_at_endgame: 0
% 0.14/0.48 stat_given_candidates: 583
% 0.14/0.48 stat_given_candidates_at_endgame: 0
% 0.14/0.48 stat_given_candidates_h: 0
% 0.14/0.48 stat_binres_derived_cl: 1152
% 0.14/0.48 stat_binres_derived_cl_h: 0
% 0.14/0.48 stat_factor_derived_cl: 6
% 0.14/0.48 stat_para_derived_cl: 0
% 0.14/0.48 stat_tautologies_discarded: 0
% 0.14/0.48 stat_forward_subsumed: 35
% 0.14/0.48 stat_derived_cut: 104
% 0.14/0.48 stat_derived_rewritten: 0
% 0.14/0.48 stat_weight_discarded_building: 0
% 0.14/0.48 stat_weight_discarded_cl: 0
% 0.14/0.48 stat_internlimit_discarded_cl: 0
% 0.14/0.48 stat_simplified: 3 simplified 0 derived 0 given
% 0.14/0.48 stat_kept_cl: 1122
% 0.14/0.48 stat_built_cl: 22659
% 0.14/0.48 stat_hyperres_partial_cl: 0
% 0.14/0.48 stat_made_rewriters: 0
% 0.14/0.48 stat_backward_subsumed: 0
% 0.14/0.48 stat_propagated_subsumed: 0
% 0.14/0.48 stat_clsubs_attempted: 648
% 0.14/0.48 stat_clsubs_fact_groundunit_found: 55
% 0.14/0.48 stat_clsubs_rule_groundunit_found: 6
% 0.14/0.48 stat_clsubs_top_meta_attempted: 23369
% 0.14/0.48 stat_clsubs_top_meta_failed: 22721
% 0.14/0.48 stat_clsubs_top_meta_nonpref_attempted: 23369
% 0.14/0.48 stat_clsubs_top_meta_nonpref_succeeded: 3847
% 0.14/0.48 stat_clsubs_top_meta_pref_attempted: 3847
% 0.14/0.48 stat_clsubs_top_meta_pref1_succeeded: 845
% 0.14/0.48 stat_clsubs_top_meta_pref2_succeeded: 648
% 0.14/0.48 stat_clsubs_top_meta_pref3_succeeded: 648
% 0.14/0.48 stat_clsubs_top_meta_pref_succeeded: 648
% 0.14/0.48 stat_clsubs_meta_attempted: 4807
% 0.14/0.48 stat_clsubs_meta_failed: 2971
% 0.14/0.48 stat_clsubs_predsymbs_attempted: 0
% 0.14/0.48 stat_clsubs_unit_attempted: 126
% 0.14/0.48 stat_clsubs_full_attempted: 522
% 0.14/0.48 stat_forwardsubs_attempted: 1158
% 0.14/0.48 stat_lit_hash_added: 21421
% 0.14/0.48 stat_lit_hash_computed: 30421
% 0.14/0.48 stat_lit_hash_match_found: 208
% 0.14/0.48 stat_lit_hash_match_miss: 13141
% 0.14/0.48 stat_lit_hash_cut_ok: 112
% 0.14/0.48 stat_lit_strong_cut_ok: 8
% 0.14/0.48 stat_lit_hash_subsume_ok: 35
% 0.14/0.48 clqueue els 10000000 used 1
% 0.14/0.48 clactive els 10000000 used 10768
% 0.14/0.48 clactivesubsume els 10000000 used 529
% 0.14/0.48 queue_termbuf els 200000000 used 59842
% 0.14/0.48 hyper_termbuf els 100000000 used 1
% 0.14/0.48 active_termbuf els 100000000 used 91219
% 0.14/0.48 varstack els 5000 last used 1
% 0.14/0.48 given_termbuf els 10000000 last used 1
% 0.14/0.48 simplified_termbuf els 10000000 last used 1
% 0.14/0.48 derived_termbuf els 10000000 last used 46
% 0.14/0.48 wr_mallocs: 120742
% 0.14/0.48 wr_callocs: 21
% 0.14/0.48 wr_reallocs: 369
% 0.14/0.48 wr_frees: 2
% 0.14/0.48 wr_malloc_bytes: 4166780388
% 0.14/0.48 wr_calloc_bytes: 112065536
% 0.14/0.48 wr_realloc_bytes: 698640
% 0.14/0.48 wr_realloc_freebytes: 0
% 0.14/0.48 ----------------------------------
%------------------------------------------------------------------------------