%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+71 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n004.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 21:24:36 EDT 2023
% Result : Theorem 0.21s 0.58s
% Output : CNFRefutation 0.21s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12 % Problem : CSR115+71 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.13 % Command : gkc %s
% 0.14/0.34 % Computer : n004.cluster.edu
% 0.14/0.34 % Model : x86_64 x86_64
% 0.14/0.34 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.14/0.34 % Memory : 8042.1875MB
% 0.14/0.34 % OS : Linux 3.10.0-693.el7.x86_64
% 0.14/0.34 % CPULimit : 300
% 0.14/0.34 % WCLimit : 300
% 0.14/0.34 % DateTime : Mon Aug 28 09:20:52 EDT 2023
% 0.14/0.34 % CPUTime :
% 0.21/0.47
% 0.21/0.47 input clause set summed statistics:
% 0.21/0.47 ----------------------------------
% 0.21/0.47 in_clause_count: 10520
% 0.21/0.47 in_rule_clause_count: 336
% 0.21/0.47 in_fact_clause_count: 10184
% 0.21/0.47 in_answer_clause_count: 0
% 0.21/0.47 in_ground_clause_count: 10184
% 0.21/0.47 in_unit_clause_count: 10186
% 0.21/0.47 in_horn_clause_count: 10510
% 0.21/0.47 in_pos_clause_count: 10190
% 0.21/0.47 in_neg_clause_count: 11
% 0.21/0.47 in_poseq_clause_count: 0
% 0.21/0.47 in_negeq_clause_count: 0
% 0.21/0.47 in_unitposeq_clause_count: 0
% 0.21/0.47 in_chain_clause_count: 0
% 0.21/0.47 in_min_length: 1
% 0.21/0.47 in_max_length: 9
% 0.21/0.47 in_min_depth: 1
% 0.21/0.47 in_max_depth: 5
% 0.21/0.47 in_min_size: 3
% 0.21/0.47 in_max_size: 30
% 0.21/0.47 in_min_vars: 0
% 0.21/0.47 in_max_vars: 7
% 0.21/0.47 in_extaxiom_count: 10394
% 0.21/0.47 in_axiom_count: 0
% 0.21/0.47 in_assumption_count: 125
% 0.21/0.47 in_goal_count: 1
% 0.21/0.47 in_neg_goal_count: 1
% 0.21/0.47 in_pos_goal_count: 0
% 0.21/0.47 in_posunit_goal_count: 0
% 0.21/0.47
% 0.21/0.47 auto guide:
% 0.21/0.47 -----------
% 0.21/0.47 {
% 0.21/0.47 "print":1,
% 0.21/0.47 "print_level": 15,
% 0.21/0.47 "max_size": 0,
% 0.21/0.47 "max_depth": 0,
% 0.21/0.47 "max_length": 0,
% 0.21/0.47 "max_dseconds": 0,
% 0.21/0.47 "equality":0,
% 0.21/0.47 "runs":[
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.21/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.21/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.21/0.47
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.21/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.21/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.21/0.47 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.21/0.47
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.21/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.21/0.47 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.21/0.47
% 0.21/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.47 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.47 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.47
% 0.21/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.21/0.47
% 0.21/0.47 ]}
% 0.21/0.47
% 0.21/0.47
% 0.21/0.47 **** run 1 fork 0 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.21/0.47
% 0.21/0.47 **** run 2 fork 1 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.21/0.47
% 0.21/0.47 **** run 4 fork 3 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.21/0.47
% 0.21/0.47 **** run 5 fork 4 starts with strategy
% 0.21/0.47
% 0.21/0.47 **** run 3 fork 2 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.21/0.47 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.21/0.47
% 0.21/0.47 **** run 6 fork 5 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.21/0.47
% 0.21/0.47 **** run 7 fork 6 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.21/0.48
% 0.21/0.48 **** run 8 fork 7 starts with strategy
% 0.21/0.48 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.21/0.58
% 0.21/0.58
% 0.21/0.58 result: proof found
% 0.21/0.58 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.58 by run 1 fork 0 strategy {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.21/0.58 % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.58
% 0.21/0.58 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.58 fof('synth_qa07_007_mira_wp_481_$sk', plain, (~val(X7,bmw_0) | (~val(X1,bmw_0) | (~sub(X7,name_1_1) | (~sub(X2,firma_1_1) | (~sub(X1,name_1_1) | (~obj(X3,X2) | (~attr(X6,X5) | (~attr(X4,X7) | ~attr(X2,X1))))))))),
% 0.21/0.58 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_wp_481'])).
% 0.21/0.58 fof('synth_qa07_007_mira_wp_481', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : ((((((((attr(X0,X1) & attr(X3,X2)) & attr(X5,X6)) & obj(X4,X0)) & sub(X1,name_1_1)) & sub(X0,firma_1_1)) & sub(X2,name_1_1)) & val(X1,bmw_0)) & val(X2,bmw_0))),
% 0.21/0.58 input).
% 0.21/0.58 fof('ave07_era5_synth_qa07_007_mira_wp_481_$sk', plain, (gener(darlegen_1_1,ge) & (fact(darlegen_1_1,real) & (sort(darlegen_1_1,da) & (gener(sollen_0,gener_c) & (fact(sollen_0,real) & (sort(sollen_0,md) & (gener(c21,sp) & (fact(c21,real) & (sort(c21,da) & (varia(vorzeitigkeit_1_1,varia_c) & (refer(vorzeitigkeit_1_1,refer_c) & (quant(vorzeitigkeit_1_1,one) & (gener(vorzeitigkeit_1_1,ge) & (fact(vorzeitigkeit_1_1,real) & (etype(vorzeitigkeit_1_1,int0) & (card(vorzeitigkeit_1_1,int1) & (sort(vorzeitigkeit_1_1,ta) & (varia(c1585,con) & (refer(c1585,det) & (quant(c1585,one) & (gener(c1585,sp) & (fact(c1585,real) & (etype(c1585,int0) & (card(c1585,int1) & (sort(c1585,ta) & (varia(gegenwart__1_1,varia_c) & (refer(gegenwart__1_1,refer_c) & (quant(gegenwart__1_1,one) & (gener(gegenwart__1_1,ge) & (fact(gegenwart__1_1,real) & (etype(gegenwart__1_1,int0) & (card(gegenwart__1_1,int1) & (sort(gegenwart__1_1,ta) & (varia(historie_1_1,varia_c) & (refer(historie_1_1,refer_c) & (quant(historie_1_1,one) & (gener(historie_1_1,ge) & (fact(historie_1_1,real) & (etype(historie_1_1,int0) & (card(historie_1_1,int1) & (sort(historie_1_1,ta) & (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(c1566,varia_c) & (refer(c1566,indet) & (quant(c1566,one) & (gener(c1566,sp) & (fact(c1566,real) & (etype(c1566,int0) & (card(c1566,int1) & (sort(c1566,na) & (varia(c1576,con) & (refer(c1576,det) & (quant(c1576,one) & (gener(c1576,sp) & (fact(c1576,real) & (etype(c1576,int0) & (card(c1576,int1) & (sort(c1576,ta) & (varia(entwicklung_1_2,varia_c) & (refer(entwicklung_1_2,refer_c) & (quant(entwicklung_1_2,one) & (gener(entwicklung_1_2,ge) & (fact(entwicklung_1_2,real) & (etype(entwicklung_1_2,int0) & (card(entwicklung_1_2,int1) & (sort(entwicklung_1_2,ad) & (sort(technisch__1_1,nq) & (varia(c1569,con) & (refer(c1569,det) & (quant(c1569,one) & (gener(c1569,sp) & (fact(c1569,real) & (etype(c1569,int0) & (card(c1569,int1) & (sort(c1569,ta) & (varia(c1565,con) & (refer(c1565,det) & (quant(c1565,one) & (gener(c1565,sp) & (fact(c1565,real) & (etype(c1565,int0) & (card(c1565,int1) & (sort(c1565,io) & (sort(c1565,d) & (varia(c1371,con) & (refer(c1371,det) & (quant(c1371,one) & (gener(c1371,sp) & (fact(c1371,real) & (etype(c1371,int0) & (card(c1371,int1) & (sort(c1371,ad) & (temp(c21,c1585) & (subs(c21,darlegen_1_1) & (obj(c21,c1371) & (modl(c21,sollen_0) & (sub(c1585,vorzeitigkeit_1_1) & (sub(c1576,gegenwart__1_1) & (sub(c1569,historie_1_1) & (val(c1566,bmw_0) & (sub(c1566,name_1_1) & (sub(c1565,firma_1_1) & (attr(c1565,c1566) & (temp(c1371,c1576) & (subs(c1371,entwicklung_1_2) & (prop(c1371,technisch__1_1) & (init(c1371,c1569) & aff(c1371,c1565))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.21/0.58 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_wp_481'])).
% 0.21/0.58 fof('ave07_era5_synth_qa07_007_mira_wp_481', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((aff(c1371,c1565) & init(c1371,c1569)) & prop(c1371,technisch__1_1)) & subs(c1371,entwicklung_1_2)) & temp(c1371,c1576)) & attr(c1565,c1566)) & sub(c1565,firma_1_1)) & sub(c1566,name_1_1)) & val(c1566,bmw_0)) & sub(c1569,historie_1_1)) & sub(c1576,gegenwart__1_1)) & sub(c1585,vorzeitigkeit_1_1)) & modl(c21,sollen_0)) & obj(c21,c1371)) & subs(c21,darlegen_1_1)) & temp(c21,c1585)) & sort(c1371,ad)) & card(c1371,int1)) & etype(c1371,int0)) & fact(c1371,real)) & gener(c1371,sp)) & quant(c1371,one)) & refer(c1371,det)) & varia(c1371,con)) & sort(c1565,d)) & sort(c1565,io)) & card(c1565,int1)) & etype(c1565,int0)) & fact(c1565,real)) & gener(c1565,sp)) & quant(c1565,one)) & refer(c1565,det)) & varia(c1565,con)) & sort(c1569,ta)) & card(c1569,int1)) & etype(c1569,int0)) & fact(c1569,real)) & gener(c1569,sp)) & quant(c1569,one)) & refer(c1569,det)) & varia(c1569,con)) & sort(technisch__1_1,nq)) & sort(entwicklung_1_2,ad)) & card(entwicklung_1_2,int1)) & etype(entwicklung_1_2,int0)) & fact(entwicklung_1_2,real)) & gener(entwicklung_1_2,ge)) & quant(entwicklung_1_2,one)) & refer(entwicklung_1_2,refer_c)) & varia(entwicklung_1_2,varia_c)) & sort(c1576,ta)) & card(c1576,int1)) & etype(c1576,int0)) & fact(c1576,real)) & gener(c1576,sp)) & quant(c1576,one)) & refer(c1576,det)) & varia(c1576,con)) & sort(c1566,na)) & card(c1566,int1)) & etype(c1566,int0)) & fact(c1566,real)) & gener(c1566,sp)) & quant(c1566,one)) & refer(c1566,indet)) & varia(c1566,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(historie_1_1,ta)) & card(historie_1_1,int1)) & etype(historie_1_1,int0)) & fact(historie_1_1,real)) & gener(historie_1_1,ge)) & quant(historie_1_1,one)) & refer(historie_1_1,refer_c)) & varia(historie_1_1,varia_c)) & sort(gegenwart__1_1,ta)) & card(gegenwart__1_1,int1)) & etype(gegenwart__1_1,int0)) & fact(gegenwart__1_1,real)) & gener(gegenwart__1_1,ge)) & quant(gegenwart__1_1,one)) & refer(gegenwart__1_1,refer_c)) & varia(gegenwart__1_1,varia_c)) & sort(c1585,ta)) & card(c1585,int1)) & etype(c1585,int0)) & fact(c1585,real)) & gener(c1585,sp)) & quant(c1585,one)) & refer(c1585,det)) & varia(c1585,con)) & sort(vorzeitigkeit_1_1,ta)) & card(vorzeitigkeit_1_1,int1)) & etype(vorzeitigkeit_1_1,int0)) & fact(vorzeitigkeit_1_1,real)) & gener(vorzeitigkeit_1_1,ge)) & quant(vorzeitigkeit_1_1,one)) & refer(vorzeitigkeit_1_1,refer_c)) & varia(vorzeitigkeit_1_1,varia_c)) & sort(c21,da)) & fact(c21,real)) & gener(c21,sp)) & sort(sollen_0,md)) & fact(sollen_0,real)) & gener(sollen_0,gener_c)) & sort(darlegen_1_1,da)) & fact(darlegen_1_1,real)) & gener(darlegen_1_1,ge)),
% 0.21/0.58 input).
% 0.21/0.58 fof('$inc_sub__sub_0_expansion_$sk', plain, ((subr($sk6(X1,X2),sub_0) & (arg2($sk6(X1,X2),X2) & arg1($sk6(X1,X2),X1))) | ~sub(X1,X2)),
% 0.21/0.58 inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.21/0.58 fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.21/0.58 input).
% 0.21/0.58 fof('$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($sk7(X1,X2,X3),X1)))))))) | (~subr(X2,sub_0) | (~arg2(X2,X3) | ~arg1(X2,X1)))),
% 0.21/0.58 inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.21/0.58 fof('$inc_sub__bezeichnen_1_1_als', axiom, (! [X0,X1,X2] : (((arg1(X0,X1) & arg2(X0,X2)) & subr(X0,sub_0)) => (? [X3,X4,X5] : (((((((arg1(X4,X1) & arg2(X4,X5)) & hsit(X0,X3)) & mcont(X3,X4)) & obj(X3,X1)) & sub(X5,X2)) & subr(X4,rprs_0)) & subs(X3,bezeichnen_1_1))))),
% 0.21/0.58 input).
% 0.21/0.58 cnf('1', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(U,V) | ~attr(W,X) | ~obj(X2006,W) | ~sub(W,firma_1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 0.21/0.58 inference(cnf_transformation,[],['synth_qa07_007_mira_wp_481_$sk'])).
% 0.21/0.58 cnf('2', 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)),
% 0.21/0.58 inference(factorization,[],['1'])).
% 0.21/0.58 cnf('3', plain, (val(c1566,bmw_0)),
% 0.21/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_481_$sk'])).
% 0.21/0.58 cnf('4', plain, (sub(c1566,name_1_1)),
% 0.21/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_481_$sk'])).
% 0.21/0.58 cnf('5', plain, (~attr(X,c1566) | ~attr(Y,Z) | ~attr(U,c1566) | ~obj(V,U) | ~sub(U,firma_1_1)),
% 0.21/0.58 inference(resolution,[then_simplify],['2','3','4'])).
% 0.21/0.58 cnf('6', plain, (~attr(X,c1566) | ~attr(Y,Z) | ~obj(U,X) | ~sub(X,firma_1_1)),
% 0.21/0.58 inference(factorization,[],['5'])).
% 0.21/0.58 cnf('7', plain, (~attr(X,c1566) | ~obj(Y,X) | ~sub(X,firma_1_1)),
% 0.21/0.58 inference(factorization,[],['6'])).
% 0.21/0.58 cnf('8', plain, (attr(c1565,c1566)),
% 0.21/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_481_$sk'])).
% 0.21/0.58 cnf('9', plain, (sub(c1565,firma_1_1)),
% 0.21/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_481_$sk'])).
% 0.21/0.58 cnf('10', plain, (~obj(X,c1565)),
% 0.21/0.58 inference(resolution,[then_simplify],['7','8','9'])).
% 0.21/0.58 cnf('11', plain, (sub(c1565,firma_1_1)),
% 0.21/0.58 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_481_$sk'])).
% 0.21/0.58 cnf('12', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.21/0.58 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.21/0.58 cnf('13', plain, (arg2($sk6(c1565,firma_1_1),firma_1_1)),
% 0.21/0.58 inference(resolution,[],['11','12'])).
% 0.21/0.58 cnf('14', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.21/0.58 inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.21/0.58 cnf('15', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.21/0.58 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.21/0.58 cnf('16', plain, (subr($sk6(c1565,firma_1_1),sub_0)),
% 0.21/0.58 inference(resolution,[],['11','15'])).
% 0.21/0.58 cnf('17', plain, (obj($sk9(X,$sk6(c1565,firma_1_1),firma_1_1),X) | ~arg1($sk6(c1565,firma_1_1),X)),
% 0.21/0.58 inference(resolution,[then_simplify],['13','14','16'])).
% 0.21/0.58 cnf('18', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.21/0.58 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.21/0.58 cnf('19', plain, (arg1($sk6(c1565,firma_1_1),c1565)),
% 0.21/0.58 inference(resolution,[],['11','18'])).
% 0.21/0.58 cnf('20', plain, ($false),
% 0.21/0.58 inference(resolution,[then_simplify],['10','17','19'])).
% 0.21/0.58
% 0.21/0.58 % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.58
% 0.21/0.58 run 1 fork 0 statistics:
% 0.21/0.58 ----------------------------------
% 0.21/0.58 this run seconds: 0.037911
% 0.21/0.58 total seconds: 0.100998
% 0.21/0.58 stat_given_used: 843
% 0.21/0.58 stat_given_used_at_endgame: 0
% 0.21/0.58 stat_given_candidates: 1019
% 0.21/0.58 stat_given_candidates_at_endgame: 0
% 0.21/0.58 stat_given_candidates_h: 0
% 0.21/0.58 stat_binres_derived_cl: 1244
% 0.21/0.58 stat_binres_derived_cl_h: 0
% 0.21/0.58 stat_factor_derived_cl: 18
% 0.21/0.58 stat_para_derived_cl: 0
% 0.21/0.58 stat_tautologies_discarded: 0
% 0.21/0.58 stat_forward_subsumed: 8
% 0.21/0.58 stat_derived_cut: 112
% 0.21/0.58 stat_derived_rewritten: 0
% 0.21/0.58 stat_weight_discarded_building: 0
% 0.21/0.58 stat_weight_discarded_cl: 0
% 0.21/0.58 stat_internlimit_discarded_cl: 0
% 0.21/0.58 stat_simplified: 0 simplified 0 derived 0 given
% 0.21/0.58 stat_kept_cl: 1253
% 0.21/0.58 stat_built_cl: 23727
% 0.21/0.58 stat_hyperres_partial_cl: 0
% 0.21/0.58 stat_made_rewriters: 0
% 0.21/0.58 stat_backward_subsumed: 0
% 0.21/0.58 stat_propagated_subsumed: 0
% 0.21/0.58 stat_clsubs_attempted: 622
% 0.21/0.58 stat_clsubs_fact_groundunit_found: 151
% 0.21/0.58 stat_clsubs_rule_groundunit_found: 0
% 0.21/0.58 stat_clsubs_top_meta_attempted: 155977
% 0.21/0.58 stat_clsubs_top_meta_failed: 155355
% 0.21/0.58 stat_clsubs_top_meta_nonpref_attempted: 155977
% 0.21/0.58 stat_clsubs_top_meta_nonpref_succeeded: 97243
% 0.21/0.58 stat_clsubs_top_meta_pref_attempted: 97243
% 0.21/0.58 stat_clsubs_top_meta_pref1_succeeded: 4050
% 0.21/0.58 stat_clsubs_top_meta_pref2_succeeded: 773
% 0.21/0.58 stat_clsubs_top_meta_pref3_succeeded: 622
% 0.21/0.58 stat_clsubs_top_meta_pref_succeeded: 622
% 0.21/0.58 stat_clsubs_meta_attempted: 1153
% 0.21/0.58 stat_clsubs_meta_failed: 391
% 0.21/0.58 stat_clsubs_predsymbs_attempted: 0
% 0.21/0.58 stat_clsubs_unit_attempted: 0
% 0.21/0.58 stat_clsubs_full_attempted: 622
% 0.21/0.58 stat_forwardsubs_attempted: 1262
% 0.21/0.58 stat_lit_hash_added: 21633
% 0.21/0.58 stat_lit_hash_computed: 32282
% 0.21/0.58 stat_lit_hash_match_found: 281
% 0.21/0.58 stat_lit_hash_match_miss: 15448
% 0.21/0.58 stat_lit_hash_cut_ok: 122
% 0.21/0.58 stat_lit_strong_cut_ok: 2
% 0.21/0.58 stat_lit_hash_subsume_ok: 8
% 0.21/0.58 clqueue els 10000000 used 1
% 0.21/0.58 clactive els 10000000 used 11238
% 0.21/0.58 clactivesubsume els 10000000 used 3313
% 0.21/0.58 queue_termbuf els 200000000 used 67236
% 0.21/0.58 hyper_termbuf els 100000000 used 1
% 0.21/0.58 active_termbuf els 100000000 used 105532
% 0.21/0.58 varstack els 5000 last used 1
% 0.21/0.58 given_termbuf els 10000000 last used 1
% 0.21/0.58 simplified_termbuf els 10000000 last used 1
% 0.21/0.58 derived_termbuf els 10000000 last used 29
% 0.21/0.58 wr_mallocs: 123644
% 0.21/0.58 wr_callocs: 21
% 0.21/0.58 wr_reallocs: 428
% 0.21/0.58 wr_frees: 2
% 0.21/0.58 wr_malloc_bytes: 4166874788
% 0.21/0.58 wr_calloc_bytes: 112065536
% 0.21/0.58 wr_realloc_bytes: 706904
% 0.21/0.58 wr_realloc_freebytes: 0
% 0.21/0.58 ----------------------------------
%------------------------------------------------------------------------------