TSTP Solution File: CSR115+45 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+45 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n025.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 21:24:30 EDT 2023
% Result : Theorem 0.21s 0.69s
% Output : CNFRefutation 0.21s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12 % Problem : CSR115+45 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.13 % Command : gkc %s
% 0.14/0.35 % Computer : n025.cluster.edu
% 0.14/0.35 % Model : x86_64 x86_64
% 0.14/0.35 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.14/0.35 % Memory : 8042.1875MB
% 0.14/0.35 % OS : Linux 3.10.0-693.el7.x86_64
% 0.14/0.35 % CPULimit : 300
% 0.14/0.35 % WCLimit : 300
% 0.14/0.35 % DateTime : Mon Aug 28 13:48:09 EDT 2023
% 0.14/0.35 % CPUTime :
% 0.21/0.45
% 0.21/0.45 input clause set summed statistics:
% 0.21/0.45 ----------------------------------
% 0.21/0.45 in_clause_count: 10566
% 0.21/0.45 in_rule_clause_count: 336
% 0.21/0.45 in_fact_clause_count: 10230
% 0.21/0.45 in_answer_clause_count: 0
% 0.21/0.45 in_ground_clause_count: 10230
% 0.21/0.45 in_unit_clause_count: 10232
% 0.21/0.45 in_horn_clause_count: 10556
% 0.21/0.45 in_pos_clause_count: 10236
% 0.21/0.45 in_neg_clause_count: 11
% 0.21/0.45 in_poseq_clause_count: 0
% 0.21/0.45 in_negeq_clause_count: 0
% 0.21/0.45 in_unitposeq_clause_count: 0
% 0.21/0.45 in_chain_clause_count: 0
% 0.21/0.45 in_min_length: 1
% 0.21/0.45 in_max_length: 8
% 0.21/0.45 in_min_depth: 1
% 0.21/0.45 in_max_depth: 5
% 0.21/0.45 in_min_size: 3
% 0.21/0.45 in_max_size: 30
% 0.21/0.45 in_min_vars: 0
% 0.21/0.45 in_max_vars: 7
% 0.21/0.45 in_extaxiom_count: 10394
% 0.21/0.45 in_axiom_count: 0
% 0.21/0.45 in_assumption_count: 171
% 0.21/0.45 in_goal_count: 1
% 0.21/0.45 in_neg_goal_count: 1
% 0.21/0.45 in_pos_goal_count: 0
% 0.21/0.45 in_posunit_goal_count: 0
% 0.21/0.45
% 0.21/0.45 auto guide:
% 0.21/0.45 -----------
% 0.21/0.45 {
% 0.21/0.45 "print":1,
% 0.21/0.45 "print_level": 15,
% 0.21/0.45 "max_size": 0,
% 0.21/0.45 "max_depth": 0,
% 0.21/0.45 "max_length": 0,
% 0.21/0.45 "max_dseconds": 0,
% 0.21/0.45 "equality":0,
% 0.21/0.45 "runs":[
% 0.21/0.45 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.45 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.45 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.45 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.45 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.21/0.45 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.21/0.45 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.45 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.45 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.45 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.45 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.45 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.21/0.45 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.45 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.45 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.45 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.21/0.45 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.21/0.45 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.45 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.45 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.21/0.45 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.45 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.45 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.45 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.45 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.45 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.45 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.21/0.45
% 0.21/0.45 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.45 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.45 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.45 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.45 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.21/0.45 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.21/0.45 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.45 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.45 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.45 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.45 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.45 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.21/0.45 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.45 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.45 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.45 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.21/0.45 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.21/0.45 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.45 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.45 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.21/0.45 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.45 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.45 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.45 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.45 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.45 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.45 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.21/0.45
% 0.21/0.45 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.45 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.45 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.45 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.45 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.45 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.45 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.45 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.45 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.45 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.21/0.45 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.45 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.45 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.45 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.21/0.45 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.21/0.45 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.45 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.45 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.21/0.45 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.45 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.45 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.45 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.45 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.45 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.45 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.21/0.45
% 0.21/0.45 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.45 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.45 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.45 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.45 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.45
% 0.21/0.45 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.45 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.45 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.45 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.45 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.45 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.21/0.45
% 0.21/0.45 ]}
% 0.21/0.45
% 0.21/0.45
% 0.21/0.45 **** run 1 fork 0 starts with strategy
% 0.21/0.45 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.21/0.45
% 0.21/0.45 **** run 2 fork 1 starts with strategy
% 0.21/0.45 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.21/0.45
% 0.21/0.45 **** run 3 fork 2 starts with strategy
% 0.21/0.45 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.21/0.45
% 0.21/0.45 **** run 4 fork 3 starts with strategy
% 0.21/0.45 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.21/0.45
% 0.21/0.45 **** run 5 fork 4 starts with strategy
% 0.21/0.45 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.21/0.45
% 0.21/0.45 **** run 6 fork 5 starts with strategy
% 0.21/0.45 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.21/0.45
% 0.21/0.45 **** run 7 fork 6 starts with strategy
% 0.21/0.45 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.21/0.46
% 0.21/0.46 **** run 8 fork 7 starts with strategy
% 0.21/0.46 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.21/0.58
% 0.21/0.58 fork 7: search finished without proof.
% 0.21/0.60
% 0.21/0.60 fork 0: search finished without proof.
% 0.21/0.60
% 0.21/0.60 **** run 16 fork 7 starts with strategy
% 0.21/0.60 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.21/0.61
% 0.21/0.61 fork 3: search finished without proof.
% 0.21/0.64
% 0.21/0.64 **** run 9 fork 0 starts with strategy
% 0.21/0.64 {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":0,"sine":5}
% 0.21/0.64
% 0.21/0.64 **** run 12 fork 3 starts with strategy
% 0.21/0.64 {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":0}
% 0.21/0.68
% 0.21/0.68
% 0.21/0.68 fork 5: search terminated without proof.
% 0.21/0.69
% 0.21/0.69
% 0.21/0.69 result: proof found
% 0.21/0.69 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.69 by run 2 fork 1 strategy {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.21/0.69 % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.69
% 0.21/0.69 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.69 fof('ave07_era5_synth_qa07_007_mira_news_1256_a19984_$sk', plain, (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(masse_1_1,varia_c) & (refer(masse_1_1,refer_c) & (quant(masse_1_1,quant_c) & (gener(masse_1_1,ge) & (fact(masse_1_1,real) & (etype(masse_1_1,int1) & (card(masse_1_1,card_c) & (sort(masse_1_1,io) & (gener(herstellen_1_1,ge) & (fact(herstellen_1_1,real) & (sort(herstellen_1_1,da) & (gener(c907,sp) & (fact(c907,real) & (sort(c907,da) & (varia(massenhersteller_1_1,varia_c) & (refer(massenhersteller_1_1,refer_c) & (quant(massenhersteller_1_1,one) & (gener(massenhersteller_1_1,ge) & (fact(massenhersteller_1_1,real) & (etype(massenhersteller_1_1,int0) & (card(massenhersteller_1_1,int1) & (sort(massenhersteller_1_1,io) & (sort(massenhersteller_1_1,d) & (card(letzt_1_1,card_c) & (sort(letzt_1_1,oq) & (varia(c904,varia_c) & (refer(c904,refer_c) & (quant(c904,one) & (gener(c904,ge) & (fact(c904,real) & (etype(c904,int0) & (card(c904,int1) & (sort(c904,io) & (sort(c904,d) & (sort(unabh__344ngig_1_1,nq) & (sort(britisch__1_1,nq) & (sort(rover_0,fe) & (varia(c894,varia_c) & (refer(c894,indet) & (quant(c894,one) & (gener(c894,sp) & (fact(c894,real) & (etype(c894,int0) & (card(c894,int1) & (sort(c894,na) & (varia(sommer__1_1,varia_c) & (refer(sommer__1_1,refer_c) & (quant(sommer__1_1,one) & (gener(sommer__1_1,ge) & (fact(sommer__1_1,real) & (etype(sommer__1_1,int0) & (card(sommer__1_1,int1) & (sort(sommer__1_1,ta) & (sort(pass__351_1_1,tq) & (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(c859,varia_c) & (refer(c859,indet) & (quant(c859,one) & (gener(c859,sp) & (fact(c859,real) & (etype(c859,int0) & (card(c859,int1) & (sort(c859,na) & (varia(c865,con) & (refer(c865,det) & (quant(c865,one) & (gener(c865,sp) & (fact(c865,real) & (etype(c865,int0) & (card(c865,int1) & (sort(c865,ta) & (gener(nehmen_1_7,ge) & (fact(nehmen_1_7,real) & (sort(nehmen_1_7,da) & (varia(c902,con) & (refer(c902,det) & (quant(c902,one) & (gener(c902,sp) & (fact(c902,real) & (etype(c902,int0) & (card(c902,int1) & (sort(c902,io) & (varia(c858,con) & (refer(c858,det) & (quant(c858,one) & (gener(c858,sp) & (fact(c858,real) & (etype(c858,int0) & (card(c858,int1) & (sort(c858,io) & (sort(c858,d) & (varia(c893,con) & (refer(c893,det) & (quant(c893,one) & (gener(c893,sp) & (fact(c893,real) & (etype(c893,int0) & (card(c893,int1) & (sort(c893,io) & (sort(c893,d) & (gener(c484,sp) & (fact(c484,real) & (sort(c484,da) & (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(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(autofirma_1_1,varia_c) & (refer(autofirma_1_1,refer_c) & (quant(autofirma_1_1,one) & (gener(autofirma_1_1,ge) & (fact(autofirma_1_1,real) & (etype(autofirma_1_1,int0) & (card(autofirma_1_1,int1) & (sort(autofirma_1_1,io) & (sort(autofirma_1_1,d) & (sub(massenhersteller_1_1,fabrikant_1_1) & (assoc(massenhersteller_1_1,masse_1_1) & (subs(c907,herstellen_1_1) & (agt(c907,c902) & (pmod(c904,letzt_1_1,massenhersteller_1_1) & (sub(c902,c904) & (prop(c902,unabh__344ngig_1_1) & (prop(c902,britisch__1_1) & (val(c894,rover_0) & (sub(c894,name_1_1) & (sub(c893,autofirma_1_1) & (attr(c893,c894) & (sub(c865,sommer__1_1) & (prop(c865,pass__351_1_1) & (val(c859,bmw_0) & (sub(c859,name_1_1) & (sub(c858,firma_1_1) & (attr(c858,c859) & (temp(c484,c865) & (subs(c484,nehmen_1_7) & (obj(c484,c902) & (benf(c484,c858) & (agt(c484,c893) & (sub(autofirma_1_1,firma_1_1) & assoc(autofirma_1_1,auto__1_1))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.21/0.69 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1256_a19984'])).
% 0.21/0.69 fof('ave07_era5_synth_qa07_007_mira_news_1256_a19984', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((assoc(autofirma_1_1,auto__1_1) & sub(autofirma_1_1,firma_1_1)) & agt(c484,c893)) & benf(c484,c858)) & obj(c484,c902)) & subs(c484,nehmen_1_7)) & temp(c484,c865)) & attr(c858,c859)) & sub(c858,firma_1_1)) & sub(c859,name_1_1)) & val(c859,bmw_0)) & prop(c865,pass__351_1_1)) & sub(c865,sommer__1_1)) & attr(c893,c894)) & sub(c893,autofirma_1_1)) & sub(c894,name_1_1)) & val(c894,rover_0)) & prop(c902,britisch__1_1)) & prop(c902,unabh__344ngig_1_1)) & sub(c902,c904)) & pmod(c904,letzt_1_1,massenhersteller_1_1)) & agt(c907,c902)) & subs(c907,herstellen_1_1)) & assoc(massenhersteller_1_1,masse_1_1)) & sub(massenhersteller_1_1,fabrikant_1_1)) & sort(autofirma_1_1,d)) & sort(autofirma_1_1,io)) & card(autofirma_1_1,int1)) & etype(autofirma_1_1,int0)) & fact(autofirma_1_1,real)) & gener(autofirma_1_1,ge)) & quant(autofirma_1_1,one)) & refer(autofirma_1_1,refer_c)) & varia(autofirma_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(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(c484,da)) & fact(c484,real)) & gener(c484,sp)) & sort(c893,d)) & sort(c893,io)) & card(c893,int1)) & etype(c893,int0)) & fact(c893,real)) & gener(c893,sp)) & quant(c893,one)) & refer(c893,det)) & varia(c893,con)) & sort(c858,d)) & sort(c858,io)) & card(c858,int1)) & etype(c858,int0)) & fact(c858,real)) & gener(c858,sp)) & quant(c858,one)) & refer(c858,det)) & varia(c858,con)) & sort(c902,io)) & card(c902,int1)) & etype(c902,int0)) & fact(c902,real)) & gener(c902,sp)) & quant(c902,one)) & refer(c902,det)) & varia(c902,con)) & sort(nehmen_1_7,da)) & fact(nehmen_1_7,real)) & gener(nehmen_1_7,ge)) & sort(c865,ta)) & card(c865,int1)) & etype(c865,int0)) & fact(c865,real)) & gener(c865,sp)) & quant(c865,one)) & refer(c865,det)) & varia(c865,con)) & sort(c859,na)) & card(c859,int1)) & etype(c859,int0)) & fact(c859,real)) & gener(c859,sp)) & quant(c859,one)) & refer(c859,indet)) & varia(c859,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(pass__351_1_1,tq)) & sort(sommer__1_1,ta)) & card(sommer__1_1,int1)) & etype(sommer__1_1,int0)) & fact(sommer__1_1,real)) & gener(sommer__1_1,ge)) & quant(sommer__1_1,one)) & refer(sommer__1_1,refer_c)) & varia(sommer__1_1,varia_c)) & sort(c894,na)) & card(c894,int1)) & etype(c894,int0)) & fact(c894,real)) & gener(c894,sp)) & quant(c894,one)) & refer(c894,indet)) & varia(c894,varia_c)) & sort(rover_0,fe)) & sort(britisch__1_1,nq)) & sort(unabh__344ngig_1_1,nq)) & sort(c904,d)) & sort(c904,io)) & card(c904,int1)) & etype(c904,int0)) & fact(c904,real)) & gener(c904,ge)) & quant(c904,one)) & refer(c904,refer_c)) & varia(c904,varia_c)) & sort(letzt_1_1,oq)) & card(letzt_1_1,card_c)) & sort(massenhersteller_1_1,d)) & sort(massenhersteller_1_1,io)) & card(massenhersteller_1_1,int1)) & etype(massenhersteller_1_1,int0)) & fact(massenhersteller_1_1,real)) & gener(massenhersteller_1_1,ge)) & quant(massenhersteller_1_1,one)) & refer(massenhersteller_1_1,refer_c)) & varia(massenhersteller_1_1,varia_c)) & sort(c907,da)) & fact(c907,real)) & gener(c907,sp)) & sort(herstellen_1_1,da)) & fact(herstellen_1_1,real)) & gener(herstellen_1_1,ge)) & sort(masse_1_1,io)) & card(masse_1_1,card_c)) & etype(masse_1_1,int1)) & fact(masse_1_1,real)) & gener(masse_1_1,ge)) & quant(masse_1_1,quant_c)) & refer(masse_1_1,refer_c)) & varia(masse_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)),
% 0.21/0.69 input).
% 0.21/0.69 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)),
% 0.21/0.69 inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.21/0.69 fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.21/0.69 input).
% 0.21/0.69 fof('synth_qa07_007_mira_news_1256_a19984_$sk', plain, (~val(X6,bmw_0) | (~sub(X6,name_1_1) | (~sub(X5,firma_1_1) | (~obj(X1,X5) | (~attr(X4,X3) | ~attr(X2,X6)))))),
% 0.21/0.69 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1256_a19984'])).
% 0.21/0.69 fof('synth_qa07_007_mira_news_1256_a19984', conjecture, (? [X0,X1,X2,X3,X4,X5] : (((((attr(X2,X1) & attr(X4,X5)) & obj(X3,X0)) & sub(X0,firma_1_1)) & sub(X1,name_1_1)) & val(X1,bmw_0))),
% 0.21/0.69 input).
% 0.21/0.69 fof('$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($sk7(X1,X2,X3),X1)))))))) | (~subr(X2,sub_0) | (~arg2(X2,X3) | ~arg1(X2,X1)))),
% 0.21/0.69 inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.21/0.69 fof('$inc_sub__bezeichnen_1_1_als', axiom, (! [X0,X1,X2] : (((arg1(X0,X1) & arg2(X0,X2)) & subr(X0,sub_0)) => (? [X3,X4,X5] : (((((((arg1(X4,X1) & arg2(X4,X5)) & hsit(X0,X3)) & mcont(X3,X4)) & obj(X3,X1)) & sub(X5,X2)) & subr(X4,rprs_0)) & subs(X3,bezeichnen_1_1))))),
% 0.21/0.69 input).
% 0.21/0.69 cnf('1', plain, (sub(c858,firma_1_1)),
% 0.21/0.69 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1256_a19984_$sk'])).
% 0.21/0.69 cnf('2', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.21/0.69 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.21/0.69 cnf('3', plain, (subr($sk6(c858,firma_1_1),sub_0)),
% 0.21/0.69 inference(resolution,[],['1','2'])).
% 0.21/0.69 cnf('4', plain, (attr(c893,c894)),
% 0.21/0.69 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1256_a19984_$sk'])).
% 0.21/0.69 cnf('5', plain, (attr(c858,c859)),
% 0.21/0.69 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1256_a19984_$sk'])).
% 0.21/0.69 cnf('6', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,U) | ~obj(V,W) | ~sub(W,firma_1_1) | ~sub(X,name_1_1)),
% 0.21/0.69 inference(cnf_transformation,[],['synth_qa07_007_mira_news_1256_a19984_$sk'])).
% 0.21/0.69 cnf('7', plain, (val(c859,bmw_0)),
% 0.21/0.69 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1256_a19984_$sk'])).
% 0.21/0.69 cnf('8', plain, (sub(c859,name_1_1)),
% 0.21/0.69 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1256_a19984_$sk'])).
% 0.21/0.69 cnf('9', plain, (~attr(X,Y) | ~obj(Z,U) | ~sub(U,firma_1_1)),
% 0.21/0.69 inference(resolution,[then_simplify],['5','6','7','8'])).
% 0.21/0.69 cnf('10', plain, (~attr(X,Y) | ~obj(Z,c858)),
% 0.21/0.69 inference(resolution,[],['1','9'])).
% 0.21/0.69 cnf('11', plain, (~obj(X,c858)),
% 0.21/0.69 inference(resolution,[],['4','10'])).
% 0.21/0.69 cnf('12', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.21/0.69 inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.21/0.69 cnf('13', plain, (~subr(X,sub_0) | ~arg1(X,c858) | ~arg2(X,Y)),
% 0.21/0.69 inference(resolution,[],['11','12'])).
% 0.21/0.69 cnf('14', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.21/0.69 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.21/0.69 cnf('15', plain, (arg1($sk6(c858,firma_1_1),c858)),
% 0.21/0.69 inference(resolution,[],['1','14'])).
% 0.21/0.69 cnf('16', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.21/0.69 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.21/0.69 cnf('17', plain, (arg2($sk6(c858,firma_1_1),firma_1_1)),
% 0.21/0.69 inference(resolution,[],['1','16'])).
% 0.21/0.69 cnf('18', plain, ($false),
% 0.21/0.69 inference(resolution,[then_simplify],['3','13','15','17'])).
% 0.21/0.69
% 0.21/0.69 % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.69
% 0.21/0.69 run 2 fork 1 statistics:
% 0.21/0.69 ----------------------------------
% 0.21/0.69 this run seconds: 0.037387
% 0.21/0.69 total seconds: 0.097317
% 0.21/0.69 stat_given_used: 515
% 0.21/0.69 stat_given_used_at_endgame: 0
% 0.21/0.69 stat_given_candidates: 776
% 0.21/0.69 stat_given_candidates_at_endgame: 0
% 0.21/0.69 stat_given_candidates_h: 0
% 0.21/0.69 stat_binres_derived_cl: 1583
% 0.21/0.69 stat_binres_derived_cl_h: 0
% 0.21/0.69 stat_factor_derived_cl: 2
% 0.21/0.69 stat_para_derived_cl: 0
% 0.21/0.69 stat_tautologies_discarded: 0
% 0.21/0.69 stat_forward_subsumed: 36
% 0.21/0.69 stat_derived_cut: 77
% 0.21/0.69 stat_derived_rewritten: 0
% 0.21/0.69 stat_weight_discarded_building: 0
% 0.21/0.69 stat_weight_discarded_cl: 0
% 0.21/0.69 stat_internlimit_discarded_cl: 0
% 0.21/0.69 stat_simplified: 3 simplified 0 derived 0 given
% 0.21/0.69 stat_kept_cl: 1548
% 0.21/0.69 stat_built_cl: 23369
% 0.21/0.69 stat_hyperres_partial_cl: 0
% 0.21/0.69 stat_made_rewriters: 0
% 0.21/0.69 stat_backward_subsumed: 0
% 0.21/0.69 stat_propagated_subsumed: 0
% 0.21/0.69 stat_clsubs_attempted: 1680
% 0.21/0.69 stat_clsubs_fact_groundunit_found: 67
% 0.21/0.69 stat_clsubs_rule_groundunit_found: 8
% 0.21/0.69 stat_clsubs_top_meta_attempted: 59549
% 0.21/0.69 stat_clsubs_top_meta_failed: 57869
% 0.21/0.69 stat_clsubs_top_meta_nonpref_attempted: 59549
% 0.21/0.69 stat_clsubs_top_meta_nonpref_succeeded: 14489
% 0.21/0.69 stat_clsubs_top_meta_pref_attempted: 14489
% 0.21/0.69 stat_clsubs_top_meta_pref1_succeeded: 2359
% 0.21/0.69 stat_clsubs_top_meta_pref2_succeeded: 1720
% 0.21/0.69 stat_clsubs_top_meta_pref3_succeeded: 1680
% 0.21/0.69 stat_clsubs_top_meta_pref_succeeded: 1680
% 0.21/0.69 stat_clsubs_meta_attempted: 7559
% 0.21/0.69 stat_clsubs_meta_failed: 4638
% 0.21/0.69 stat_clsubs_predsymbs_attempted: 0
% 0.21/0.69 stat_clsubs_unit_attempted: 388
% 0.21/0.69 stat_clsubs_full_attempted: 1292
% 0.21/0.69 stat_forwardsubs_attempted: 1585
% 0.21/0.69 stat_lit_hash_added: 21870
% 0.21/0.69 stat_lit_hash_computed: 33959
% 0.21/0.69 stat_lit_hash_match_found: 190
% 0.21/0.69 stat_lit_hash_match_miss: 17693
% 0.21/0.69 stat_lit_hash_cut_ok: 79
% 0.21/0.69 stat_lit_strong_cut_ok: 8
% 0.21/0.69 stat_lit_hash_subsume_ok: 36
% 0.21/0.69 clqueue els 10000000 used 1
% 0.21/0.69 clactive els 10000000 used 10910
% 0.21/0.69 clactivesubsume els 10000000 used 1015
% 0.21/0.69 queue_termbuf els 200000000 used 79060
% 0.21/0.69 hyper_termbuf els 100000000 used 1
% 0.21/0.69 active_termbuf els 100000000 used 94312
% 0.21/0.69 varstack els 5000 last used 1
% 0.21/0.69 given_termbuf els 10000000 last used 1
% 0.21/0.69 simplified_termbuf els 10000000 last used 1
% 0.21/0.69 derived_termbuf els 10000000 last used 46
% 0.21/0.69 wr_mallocs: 122175
% 0.21/0.69 wr_callocs: 21
% 0.21/0.69 wr_reallocs: 475
% 0.21/0.69 wr_frees: 2
% 0.21/0.69 wr_malloc_bytes: 4166831860
% 0.21/0.69 wr_calloc_bytes: 112065536
% 0.21/0.69 wr_realloc_bytes: 715608
% 0.21/0.69 wr_realloc_freebytes: 0
% 0.21/0.69 ----------------------------------
%------------------------------------------------------------------------------