TSTP Solution File: CSR115+18 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+18 : 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 21:24:23 EDT 2023
% Result : Theorem 0.20s 0.60s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.10/0.12 % Problem : CSR115+18 : TPTP v8.1.2. Released v4.0.0.
% 0.10/0.13 % Command : gkc %s
% 0.14/0.34 % Computer : n025.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 12:13:54 EDT 2023
% 0.14/0.34 % CPUTime :
% 0.20/0.48
% 0.20/0.48 input clause set summed statistics:
% 0.20/0.48 ----------------------------------
% 0.20/0.48 in_clause_count: 10673
% 0.20/0.48 in_rule_clause_count: 336
% 0.20/0.48 in_fact_clause_count: 10337
% 0.20/0.48 in_answer_clause_count: 0
% 0.20/0.48 in_ground_clause_count: 10337
% 0.20/0.48 in_unit_clause_count: 10339
% 0.20/0.48 in_horn_clause_count: 10663
% 0.20/0.48 in_pos_clause_count: 10343
% 0.20/0.48 in_neg_clause_count: 11
% 0.20/0.48 in_poseq_clause_count: 0
% 0.20/0.48 in_negeq_clause_count: 0
% 0.20/0.48 in_unitposeq_clause_count: 0
% 0.20/0.48 in_chain_clause_count: 0
% 0.20/0.48 in_min_length: 1
% 0.20/0.48 in_max_length: 8
% 0.20/0.48 in_min_depth: 1
% 0.20/0.48 in_max_depth: 5
% 0.20/0.48 in_min_size: 3
% 0.20/0.48 in_max_size: 30
% 0.20/0.48 in_min_vars: 0
% 0.20/0.48 in_max_vars: 7
% 0.20/0.48 in_extaxiom_count: 10394
% 0.20/0.48 in_axiom_count: 0
% 0.20/0.48 in_assumption_count: 278
% 0.20/0.48 in_goal_count: 1
% 0.20/0.48 in_neg_goal_count: 1
% 0.20/0.48 in_pos_goal_count: 0
% 0.20/0.48 in_posunit_goal_count: 0
% 0.20/0.48
% 0.20/0.48 auto guide:
% 0.20/0.48 -----------
% 0.20/0.48 {
% 0.20/0.48 "print":1,
% 0.20/0.48 "print_level": 15,
% 0.20/0.48 "max_size": 0,
% 0.20/0.48 "max_depth": 0,
% 0.20/0.48 "max_length": 0,
% 0.20/0.48 "max_dseconds": 0,
% 0.20/0.48 "equality":0,
% 0.20/0.48 "runs":[
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.48 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.48 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.48 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.48 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.48 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.48 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.48 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.48
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.48 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.48 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.48 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.48 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.48 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.20/0.48 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.48 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.48 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.20/0.48
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.48 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.48 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.48 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.48 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.20/0.48 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.48 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.48 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.20/0.48
% 0.20/0.48 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.48 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.48 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.48 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.48
% 0.20/0.48 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.48 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.20/0.48
% 0.20/0.48 ]}
% 0.20/0.48
% 0.20/0.48
% 0.20/0.48 **** run 1 fork 0 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.20/0.48
% 0.20/0.48 **** run 2 fork 1 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.20/0.48
% 0.20/0.48 **** run 3 fork 2 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.20/0.48
% 0.20/0.48 **** run 4 fork 3 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.20/0.48
% 0.20/0.48 **** run 5 fork 4 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.20/0.48
% 0.20/0.48 **** run 6 fork 5 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.20/0.48
% 0.20/0.48 **** run 7 fork 6 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.20/0.48
% 0.20/0.48 **** run 8 fork 7 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.20/0.60
% 0.20/0.60
% 0.20/0.60 result: proof found
% 0.20/0.60 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.60 by run 1 fork 0 strategy {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.20/0.60 % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.60
% 0.20/0.60 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.60 fof('ave07_era5_synth_qa07_007_mira_news_1129_a19984_$sk', plain, (varia(ordnung_1_1,varia_c) & (refer(ordnung_1_1,refer_c) & (quant(ordnung_1_1,one) & (gener(ordnung_1_1,ge) & (fact(ordnung_1_1,real) & (etype(ordnung_1_1,int0) & (card(ordnung_1_1,int1) & (sort(ordnung_1_1,io) & (sort(ordnung_1_1,as) & (varia(gr__366__337e_1_1,varia_c) & (refer(gr__366__337e_1_1,refer_c) & (quant(gr__366__337e_1_1,one) & (gener(gr__366__337e_1_1,ge) & (fact(gr__366__337e_1_1,real) & (etype(gr__366__337e_1_1,int0) & (card(gr__366__337e_1_1,int1) & (sort(gr__366__337e_1_1,oa) & (card(c81,int1994) & (sort(c81,nu) & (varia(jahr__1_1,varia_c) & (refer(jahr__1_1,refer_c) & (quant(jahr__1_1,quant_c) & (gener(jahr__1_1,ge) & (fact(jahr__1_1,real) & (etype(jahr__1_1,etype_c) & (card(jahr__1_1,card_c) & (sort(jahr__1_1,ta) & (sort(jahr__1_1,oa) & (sort(jahr__1_1,me) & (varia(c84,varia_c) & (refer(c84,refer_c) & (quant(c84,quant_c) & (gener(c84,sp) & (fact(c84,real) & (etype(c84,etype_c) & (card(c84,card_c) & (sort(c84,ta) & (sort(c84,oa) & (sort(c84,me) & (varia(firmengruppe_1_1,varia_c) & (refer(firmengruppe_1_1,refer_c) & (quant(firmengruppe_1_1,one) & (gener(firmengruppe_1_1,ge) & (fact(firmengruppe_1_1,real) & (etype(firmengruppe_1_1,int0) & (card(firmengruppe_1_1,int1) & (sort(firmengruppe_1_1,io) & (sort(firmengruppe_1_1,d) & (varia(bmw_1_1,varia_c) & (refer(bmw_1_1,refer_c) & (quant(bmw_1_1,one) & (gener(bmw_1_1,ge) & (fact(bmw_1_1,real) & (etype(bmw_1_1,int0) & (card(bmw_1_1,int1) & (sort(bmw_1_1,d) & (sort(bundesdeutsch_1_1,tq) & (varia(c83,con) & (refer(c83,det) & (quant(c83,one) & (gener(c83,sp) & (fact(c83,real) & (etype(c83,int0) & (card(c83,int1) & (sort(c83,t) & (varia(c74,varia_c) & (refer(c74,refer_c) & (quant(c74,one) & (gener(c74,gener_c) & (fact(c74,real) & (etype(c74,int0) & (card(c74,int1) & (sort(c74,io) & (sort(c74,d) & (varia(c70,con) & (refer(c70,det) & (quant(c70,one) & (gener(c70,sp) & (fact(c70,real) & (etype(c70,int0) & (card(c70,int1) & (sort(c70,d) & (varia(c262,varia_c) & (refer(c262,refer_c) & (quant(c262,quant_c) & (gener(c262,gener_c) & (fact(c262,real) & (etype(c262,etype_c) & (card(c262,card_c) & (sort(c262,ent) & (varia(c20,varia_c) & (refer(c20,refer_c) & (quant(c20,quant_c) & (gener(c20,gener_c) & (fact(c20,real) & (etype(c20,etype_c) & (card(c20,card_c) & (sort(c20,ent) & (card(c16,int1) & (sort(c16,nu) & (varia(monat_1_1,varia_c) & (refer(monat_1_1,refer_c) & (quant(monat_1_1,quant_c) & (gener(monat_1_1,ge) & (fact(monat_1_1,real) & (etype(monat_1_1,etype_c) & (card(monat_1_1,card_c) & (sort(monat_1_1,ta) & (sort(monat_1_1,oa) & (sort(monat_1_1,me) & (card(c15,int31) & (sort(c15,nu) & (varia(tag_1_1,varia_c) & (refer(tag_1_1,refer_c) & (quant(tag_1_1,quant_c) & (gener(tag_1_1,ge) & (fact(tag_1_1,real) & (etype(tag_1_1,etype_c) & (card(tag_1_1,card_c) & (sort(tag_1_1,ta) & (sort(tag_1_1,oa) & (sort(tag_1_1,me) & (varia(c19,varia_c) & (refer(c19,refer_c) & (quant(c19,quant_c) & (gener(c19,sp) & (fact(c19,real) & (etype(c19,etype_c) & (card(c19,card_c) & (sort(c19,ta) & (sort(c19,oa) & (sort(c19,me) & (varia(c18,varia_c) & (refer(c18,refer_c) & (quant(c18,quant_c) & (gener(c18,sp) & (fact(c18,real) & (etype(c18,etype_c) & (card(c18,card_c) & (sort(c18,ta) & (sort(c18,oa) & (sort(c18,me) & (varia(c17,con) & (refer(c17,det) & (quant(c17,one) & (gener(c17,sp) & (fact(c17,real) & (etype(c17,int0) & (card(c17,int1) & (sort(c17,t) & (varia(gr__366ssenordnung_1_1,varia_c) & (refer(gr__366ssenordnung_1_1,refer_c) & (quant(gr__366ssenordnung_1_1,one) & (gener(gr__366ssenordnung_1_1,ge) & (fact(gr__366ssenordnung_1_1,real) & (etype(gr__366ssenordnung_1_1,int0) & (card(gr__366ssenordnung_1_1,int1) & (sort(gr__366ssenordnung_1_1,oa) & (sort(gr__366ssenordnung_1_1,io) & (sort(neo_1_1,nq) & (varia(c137,varia_c) & (refer(c137,indet) & (quant(c137,one) & (gener(c137,sp) & (fact(c137,real) & (etype(c137,int0) & (card(c137,int1) & (sort(c137,oa) & (sort(c137,io) & (sort(rover_0,fe) & (sort(britisch__1_1,nq) & (varia(c132,varia_c) & (refer(c132,indet) & (quant(c132,one) & (gener(c132,sp) & (fact(c132,real) & (etype(c132,int0) & (card(c132,int1) & (sort(c132,na) & (varia(c131,con) & (refer(c131,det) & (quant(c131,one) & (gener(c131,sp) & (fact(c131,real) & (etype(c131,int0) & (card(c131,int1) & (sort(c131,io) & (sort(c131,d) & (sort(m__374nchen_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(stadt__1_1,varia_c) & (refer(stadt__1_1,refer_c) & (quant(stadt__1_1,one) & (gener(stadt__1_1,ge) & (fact(stadt__1_1,real) & (etype(stadt__1_1,int0) & (card(stadt__1_1,int1) & (sort(stadt__1_1,io) & (sort(stadt__1_1,d) & (varia(c12,varia_c) & (refer(c12,indet) & (quant(c12,one) & (gener(c12,sp) & (fact(c12,real) & (etype(c12,int0) & (card(c12,int1) & (sort(c12,na) & (varia(c11,con) & (refer(c11,det) & (quant(c11,one) & (gener(c11,sp) & (fact(c11,real) & (etype(c11,int0) & (card(c11,int1) & (sort(c11,io) & (sort(c11,d) & (varia(fabrikant_1_1,varia_c) & (refer(fabrikant_1_1,refer_c) & (quant(fabrikant_1_1,one) & (gener(fabrikant_1_1,ge) & (fact(fabrikant_1_1,real) & (etype(fabrikant_1_1,int0) & (card(fabrikant_1_1,int1) & (sort(fabrikant_1_1,io) & (sort(fabrikant_1_1,d) & (varia(auto__1_1,varia_c) & (refer(auto__1_1,refer_c) & (quant(auto__1_1,one) & (gener(auto__1_1,ge) & (fact(auto__1_1,real) & (etype(auto__1_1,int0) & (card(auto__1_1,int1) & (sort(auto__1_1,d) & (varia(autobauer_1_1,varia_c) & (refer(autobauer_1_1,refer_c) & (quant(autobauer_1_1,one) & (gener(autobauer_1_1,ge) & (fact(autobauer_1_1,real) & (etype(autobauer_1_1,int0) & (card(autobauer_1_1,int1) & (sort(autobauer_1_1,io) & (sort(autobauer_1_1,d) & (sub(gr__366ssenordnung_1_1,ordnung_1_1) & (assoc(gr__366ssenordnung_1_1,gr__366__337e_1_1) & (val(c84,c81) & (sub(c84,jahr__1_1) & (attr(c83,c84) & (sub(c74,firmengruppe_1_1) & (sub(c70,bmw_1_1) & (prop(c70,bundesdeutsch_1_1) & (tupl_p6(c262,c70,c74,c83,c131,c137) & (tupl(c20,c11,c17) & (val(c19,c16) & (sub(c19,monat_1_1) & (val(c18,c15) & (sub(c18,tag_1_1) & (attr(c17,c19) & (attr(c17,c18) & (sub(c137,gr__366ssenordnung_1_1) & (prop(c137,neo_1_1) & (val(c132,rover_0) & (sub(c132,name_1_1) & (sub(c131,autobauer_1_1) & (prop(c131,britisch__1_1) & (attr(c131,c132) & (val(c12,m__374nchen_0) & (sub(c12,name_1_1) & (sub(c11,stadt__1_1) & (attr(c11,c12) & (sub(autobauer_1_1,fabrikant_1_1) & assoc(autobauer_1_1,auto__1_1)))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.20/0.60 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1129_a19984'])).
% 0.20/0.60 fof('ave07_era5_synth_qa07_007_mira_news_1129_a19984', hypothesis, (((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((assoc(autobauer_1_1,auto__1_1) & sub(autobauer_1_1,fabrikant_1_1)) & attr(c11,c12)) & sub(c11,stadt__1_1)) & sub(c12,name_1_1)) & val(c12,m__374nchen_0)) & attr(c131,c132)) & prop(c131,britisch__1_1)) & sub(c131,autobauer_1_1)) & sub(c132,name_1_1)) & val(c132,rover_0)) & prop(c137,neo_1_1)) & sub(c137,gr__366ssenordnung_1_1)) & attr(c17,c18)) & attr(c17,c19)) & sub(c18,tag_1_1)) & val(c18,c15)) & sub(c19,monat_1_1)) & val(c19,c16)) & tupl(c20,c11,c17)) & tupl_p6(c262,c70,c74,c83,c131,c137)) & prop(c70,bundesdeutsch_1_1)) & sub(c70,bmw_1_1)) & sub(c74,firmengruppe_1_1)) & attr(c83,c84)) & sub(c84,jahr__1_1)) & val(c84,c81)) & assoc(gr__366ssenordnung_1_1,gr__366__337e_1_1)) & sub(gr__366ssenordnung_1_1,ordnung_1_1)) & sort(autobauer_1_1,d)) & sort(autobauer_1_1,io)) & card(autobauer_1_1,int1)) & etype(autobauer_1_1,int0)) & fact(autobauer_1_1,real)) & gener(autobauer_1_1,ge)) & quant(autobauer_1_1,one)) & refer(autobauer_1_1,refer_c)) & varia(autobauer_1_1,varia_c)) & sort(auto__1_1,d)) & card(auto__1_1,int1)) & etype(auto__1_1,int0)) & fact(auto__1_1,real)) & gener(auto__1_1,ge)) & quant(auto__1_1,one)) & refer(auto__1_1,refer_c)) & varia(auto__1_1,varia_c)) & sort(fabrikant_1_1,d)) & sort(fabrikant_1_1,io)) & card(fabrikant_1_1,int1)) & etype(fabrikant_1_1,int0)) & fact(fabrikant_1_1,real)) & gener(fabrikant_1_1,ge)) & quant(fabrikant_1_1,one)) & refer(fabrikant_1_1,refer_c)) & varia(fabrikant_1_1,varia_c)) & sort(c11,d)) & sort(c11,io)) & card(c11,int1)) & etype(c11,int0)) & fact(c11,real)) & gener(c11,sp)) & quant(c11,one)) & refer(c11,det)) & varia(c11,con)) & sort(c12,na)) & card(c12,int1)) & etype(c12,int0)) & fact(c12,real)) & gener(c12,sp)) & quant(c12,one)) & refer(c12,indet)) & varia(c12,varia_c)) & sort(stadt__1_1,d)) & sort(stadt__1_1,io)) & card(stadt__1_1,int1)) & etype(stadt__1_1,int0)) & fact(stadt__1_1,real)) & gener(stadt__1_1,ge)) & quant(stadt__1_1,one)) & refer(stadt__1_1,refer_c)) & varia(stadt__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(m__374nchen_0,fe)) & sort(c131,d)) & sort(c131,io)) & card(c131,int1)) & etype(c131,int0)) & fact(c131,real)) & gener(c131,sp)) & quant(c131,one)) & refer(c131,det)) & varia(c131,con)) & sort(c132,na)) & card(c132,int1)) & etype(c132,int0)) & fact(c132,real)) & gener(c132,sp)) & quant(c132,one)) & refer(c132,indet)) & varia(c132,varia_c)) & sort(britisch__1_1,nq)) & sort(rover_0,fe)) & sort(c137,io)) & sort(c137,oa)) & card(c137,int1)) & etype(c137,int0)) & fact(c137,real)) & gener(c137,sp)) & quant(c137,one)) & refer(c137,indet)) & varia(c137,varia_c)) & sort(neo_1_1,nq)) & sort(gr__366ssenordnung_1_1,io)) & sort(gr__366ssenordnung_1_1,oa)) & card(gr__366ssenordnung_1_1,int1)) & etype(gr__366ssenordnung_1_1,int0)) & fact(gr__366ssenordnung_1_1,real)) & gener(gr__366ssenordnung_1_1,ge)) & quant(gr__366ssenordnung_1_1,one)) & refer(gr__366ssenordnung_1_1,refer_c)) & varia(gr__366ssenordnung_1_1,varia_c)) & sort(c17,t)) & card(c17,int1)) & etype(c17,int0)) & fact(c17,real)) & gener(c17,sp)) & quant(c17,one)) & refer(c17,det)) & varia(c17,con)) & sort(c18,me)) & sort(c18,oa)) & sort(c18,ta)) & card(c18,card_c)) & etype(c18,etype_c)) & fact(c18,real)) & gener(c18,sp)) & quant(c18,quant_c)) & refer(c18,refer_c)) & varia(c18,varia_c)) & sort(c19,me)) & sort(c19,oa)) & sort(c19,ta)) & card(c19,card_c)) & etype(c19,etype_c)) & fact(c19,real)) & gener(c19,sp)) & quant(c19,quant_c)) & refer(c19,refer_c)) & varia(c19,varia_c)) & sort(tag_1_1,me)) & sort(tag_1_1,oa)) & sort(tag_1_1,ta)) & card(tag_1_1,card_c)) & etype(tag_1_1,etype_c)) & fact(tag_1_1,real)) & gener(tag_1_1,ge)) & quant(tag_1_1,quant_c)) & refer(tag_1_1,refer_c)) & varia(tag_1_1,varia_c)) & sort(c15,nu)) & card(c15,int31)) & sort(monat_1_1,me)) & sort(monat_1_1,oa)) & sort(monat_1_1,ta)) & card(monat_1_1,card_c)) & etype(monat_1_1,etype_c)) & fact(monat_1_1,real)) & gener(monat_1_1,ge)) & quant(monat_1_1,quant_c)) & refer(monat_1_1,refer_c)) & varia(monat_1_1,varia_c)) & sort(c16,nu)) & card(c16,int1)) & sort(c20,ent)) & card(c20,card_c)) & etype(c20,etype_c)) & fact(c20,real)) & gener(c20,gener_c)) & quant(c20,quant_c)) & refer(c20,refer_c)) & varia(c20,varia_c)) & sort(c262,ent)) & card(c262,card_c)) & etype(c262,etype_c)) & fact(c262,real)) & gener(c262,gener_c)) & quant(c262,quant_c)) & refer(c262,refer_c)) & varia(c262,varia_c)) & sort(c70,d)) & card(c70,int1)) & etype(c70,int0)) & fact(c70,real)) & gener(c70,sp)) & quant(c70,one)) & refer(c70,det)) & varia(c70,con)) & sort(c74,d)) & sort(c74,io)) & card(c74,int1)) & etype(c74,int0)) & fact(c74,real)) & gener(c74,gener_c)) & quant(c74,one)) & refer(c74,refer_c)) & varia(c74,varia_c)) & sort(c83,t)) & card(c83,int1)) & etype(c83,int0)) & fact(c83,real)) & gener(c83,sp)) & quant(c83,one)) & refer(c83,det)) & varia(c83,con)) & sort(bundesdeutsch_1_1,tq)) & sort(bmw_1_1,d)) & card(bmw_1_1,int1)) & etype(bmw_1_1,int0)) & fact(bmw_1_1,real)) & gener(bmw_1_1,ge)) & quant(bmw_1_1,one)) & refer(bmw_1_1,refer_c)) & varia(bmw_1_1,varia_c)) & sort(firmengruppe_1_1,d)) & sort(firmengruppe_1_1,io)) & card(firmengruppe_1_1,int1)) & etype(firmengruppe_1_1,int0)) & fact(firmengruppe_1_1,real)) & gener(firmengruppe_1_1,ge)) & quant(firmengruppe_1_1,one)) & refer(firmengruppe_1_1,refer_c)) & varia(firmengruppe_1_1,varia_c)) & sort(c84,me)) & sort(c84,oa)) & sort(c84,ta)) & card(c84,card_c)) & etype(c84,etype_c)) & fact(c84,real)) & gener(c84,sp)) & quant(c84,quant_c)) & refer(c84,refer_c)) & varia(c84,varia_c)) & sort(jahr__1_1,me)) & sort(jahr__1_1,oa)) & sort(jahr__1_1,ta)) & card(jahr__1_1,card_c)) & etype(jahr__1_1,etype_c)) & fact(jahr__1_1,real)) & gener(jahr__1_1,ge)) & quant(jahr__1_1,quant_c)) & refer(jahr__1_1,refer_c)) & varia(jahr__1_1,varia_c)) & sort(c81,nu)) & card(c81,int1994)) & sort(gr__366__337e_1_1,oa)) & card(gr__366__337e_1_1,int1)) & etype(gr__366__337e_1_1,int0)) & fact(gr__366__337e_1_1,real)) & gener(gr__366__337e_1_1,ge)) & quant(gr__366__337e_1_1,one)) & refer(gr__366__337e_1_1,refer_c)) & varia(gr__366__337e_1_1,varia_c)) & sort(ordnung_1_1,as)) & sort(ordnung_1_1,io)) & card(ordnung_1_1,int1)) & etype(ordnung_1_1,int0)) & fact(ordnung_1_1,real)) & gener(ordnung_1_1,ge)) & quant(ordnung_1_1,one)) & refer(ordnung_1_1,refer_c)) & varia(ordnung_1_1,varia_c)),
% 0.20/0.60 input).
% 0.20/0.60 fof('synth_qa07_007_mira_news_1129_a19984_$sk', plain, (~val(X7,X6) | (~sub(X7,jahr__1_1) | (~sub(X5,name_1_1) | (~prop(X1,britisch__1_1) | (~obj(X4,X1) | (~has_card_leq(X6,int1994) | (~attr(X3,X7) | ~attr(X2,X5)))))))),
% 0.20/0.60 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1129_a19984'])).
% 0.20/0.60 fof('synth_qa07_007_mira_news_1129_a19984', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : (((((((attr(X2,X1) & attr(X4,X5)) & has_card_leq(X6,int1994)) & obj(X3,X0)) & prop(X0,britisch__1_1)) & sub(X1,name_1_1)) & sub(X5,jahr__1_1)) & val(X5,X6))),
% 0.20/0.60 input).
% 0.20/0.60 fof('$inc_has_card_eq_$sk', plain, (has_card_leq(X2,X1) | ~card(X2,X1)),
% 0.20/0.60 inference(negpush_and_skolemize,[],['$inc_has_card_eq'])).
% 0.20/0.60 fof('$inc_has_card_eq', axiom, (! [X0,X1] : (card(X0,X1) => has_card_leq(X0,X1))),
% 0.20/0.60 input).
% 0.20/0.60 fof('$inc_sub__sub_0_expansion_$sk', plain, ((subr($sk6(X1,X2),sub_0) & (arg2($sk6(X1,X2),X2) & arg1($sk6(X1,X2),X1))) | ~sub(X1,X2)),
% 0.20/0.60 inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.20/0.60 fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.20/0.60 input).
% 0.20/0.60 fof('$inc_sub__bezeichnen_1_1_als_$sk', plain, ((subs($sk9(X1,X2,X3),bezeichnen_1_1) & (subr($sk7(X1,X2,X3),rprs_0) & (sub($sk8(X1,X2,X3),X3) & (obj($sk9(X1,X2,X3),X1) & (mcont($sk9(X1,X2,X3),$sk7(X1,X2,X3)) & (hsit(X2,$sk9(X1,X2,X3)) & (arg2($sk7(X1,X2,X3),$sk8(X1,X2,X3)) & arg1($sk7(X1,X2,X3),X1)))))))) | (~subr(X2,sub_0) | (~arg2(X2,X3) | ~arg1(X2,X1)))),
% 0.20/0.60 inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.20/0.60 fof('$inc_sub__bezeichnen_1_1_als', axiom, (! [X0,X1,X2] : (((arg1(X0,X1) & arg2(X0,X2)) & subr(X0,sub_0)) => (? [X3,X4,X5] : (((((((arg1(X4,X1) & arg2(X4,X5)) & hsit(X0,X3)) & mcont(X3,X4)) & obj(X3,X1)) & sub(X5,X2)) & subr(X4,rprs_0)) & subs(X3,bezeichnen_1_1))))),
% 0.20/0.60 input).
% 0.20/0.60 cnf('1', plain, (attr(c11,c12)),
% 0.20/0.60 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1129_a19984_$sk'])).
% 0.20/0.60 cnf('2', plain, (~val(X,Y) | ~prop(Z,britisch__1_1) | ~attr(U,V) | ~attr(W,X) | ~obj(X2006,Z) | ~sub(V,name_1_1) | ~sub(X,jahr__1_1) | ~has_card_leq(Y,int1994)),
% 0.20/0.60 inference(cnf_transformation,[],['synth_qa07_007_mira_news_1129_a19984_$sk'])).
% 0.20/0.60 cnf('3', plain, (sub(c12,name_1_1)),
% 0.20/0.60 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1129_a19984_$sk'])).
% 0.20/0.60 cnf('4', plain, (~val(X,Y) | ~prop(Z,britisch__1_1) | ~attr(U,X) | ~obj(V,Z) | ~sub(X,jahr__1_1) | ~has_card_leq(Y,int1994)),
% 0.20/0.60 inference(resolution,[then_simplify],['1','2','3'])).
% 0.20/0.60 cnf('5', plain, (card(c81,int1994)),
% 0.20/0.60 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1129_a19984_$sk'])).
% 0.20/0.60 cnf('6', plain, (~card(X,Y) | has_card_leq(X,Y)),
% 0.20/0.60 inference(cnf_transformation,[],['$inc_has_card_eq_$sk'])).
% 0.20/0.60 cnf('7', plain, (has_card_leq(c81,int1994)),
% 0.20/0.60 inference(resolution,[],['5','6'])).
% 0.20/0.60 cnf('8', plain, (~val(X,c81) | ~prop(Y,britisch__1_1) | ~attr(Z,X) | ~obj(U,Y) | ~sub(X,jahr__1_1)),
% 0.20/0.60 inference(resolution,[],['4','7'])).
% 0.20/0.60 cnf('9', plain, (val(c84,c81)),
% 0.20/0.60 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1129_a19984_$sk'])).
% 0.20/0.60 cnf('10', plain, (sub(c84,jahr__1_1)),
% 0.20/0.60 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1129_a19984_$sk'])).
% 0.20/0.60 cnf('11', plain, (~prop(X,britisch__1_1) | ~attr(Y,c84) | ~obj(Z,X)),
% 0.20/0.60 inference(resolution,[then_simplify],['8','9','10'])).
% 0.20/0.60 cnf('12', plain, (prop(c131,britisch__1_1)),
% 0.20/0.60 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1129_a19984_$sk'])).
% 0.20/0.60 cnf('13', plain, (~attr(X,c84) | ~obj(Y,c131)),
% 0.20/0.60 inference(resolution,[],['11','12'])).
% 0.20/0.60 cnf('14', plain, (attr(c83,c84)),
% 0.20/0.60 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1129_a19984_$sk'])).
% 0.20/0.60 cnf('15', plain, (~obj(X,c131)),
% 0.20/0.60 inference(resolution,[],['13','14'])).
% 0.20/0.60 cnf('16', plain, (sub(c131,autobauer_1_1)),
% 0.20/0.60 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1129_a19984_$sk'])).
% 0.20/0.60 cnf('17', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.20/0.60 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.60 cnf('18', plain, (arg2($sk6(c131,autobauer_1_1),autobauer_1_1)),
% 0.20/0.60 inference(resolution,[],['16','17'])).
% 0.20/0.60 cnf('19', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.20/0.60 inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.20/0.60 cnf('20', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.20/0.60 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.60 cnf('21', plain, (subr($sk6(c131,autobauer_1_1),sub_0)),
% 0.20/0.60 inference(resolution,[],['16','20'])).
% 0.20/0.60 cnf('22', plain, (obj($sk9(X,$sk6(c131,autobauer_1_1),autobauer_1_1),X) | ~arg1($sk6(c131,autobauer_1_1),X)),
% 0.20/0.60 inference(resolution,[then_simplify],['18','19','21'])).
% 0.20/0.60 cnf('23', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.20/0.60 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.60 cnf('24', plain, (arg1($sk6(c131,autobauer_1_1),c131)),
% 0.20/0.60 inference(resolution,[],['16','23'])).
% 0.20/0.60 cnf('25', plain, ($false),
% 0.20/0.60 inference(resolution,[then_simplify],['15','22','24'])).
% 0.20/0.60
% 0.20/0.60 % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.60
% 0.20/0.60 run 1 fork 0 statistics:
% 0.20/0.60 ----------------------------------
% 0.20/0.60 this run seconds: 0.051231
% 0.20/0.60 total seconds: 0.120105
% 0.20/0.60 stat_given_used: 1640
% 0.20/0.60 stat_given_used_at_endgame: 0
% 0.20/0.60 stat_given_candidates: 1985
% 0.20/0.60 stat_given_candidates_at_endgame: 0
% 0.20/0.60 stat_given_candidates_h: 0
% 0.20/0.60 stat_binres_derived_cl: 2286
% 0.20/0.60 stat_binres_derived_cl_h: 0
% 0.20/0.60 stat_factor_derived_cl: 28
% 0.20/0.60 stat_para_derived_cl: 0
% 0.20/0.60 stat_tautologies_discarded: 0
% 0.20/0.60 stat_forward_subsumed: 26
% 0.20/0.60 stat_derived_cut: 231
% 0.20/0.60 stat_derived_rewritten: 0
% 0.20/0.60 stat_weight_discarded_building: 0
% 0.20/0.60 stat_weight_discarded_cl: 0
% 0.20/0.60 stat_internlimit_discarded_cl: 0
% 0.20/0.60 stat_simplified: 3 simplified 0 derived 0 given
% 0.20/0.60 stat_kept_cl: 2287
% 0.20/0.60 stat_built_cl: 26358
% 0.20/0.60 stat_hyperres_partial_cl: 0
% 0.20/0.60 stat_made_rewriters: 0
% 0.20/0.60 stat_backward_subsumed: 0
% 0.20/0.60 stat_propagated_subsumed: 0
% 0.20/0.60 stat_clsubs_attempted: 1828
% 0.20/0.60 stat_clsubs_fact_groundunit_found: 310
% 0.20/0.60 stat_clsubs_rule_groundunit_found: 0
% 0.20/0.60 stat_clsubs_top_meta_attempted: 559221
% 0.20/0.60 stat_clsubs_top_meta_failed: 557393
% 0.20/0.60 stat_clsubs_top_meta_nonpref_attempted: 559221
% 0.20/0.60 stat_clsubs_top_meta_nonpref_succeeded: 331745
% 0.20/0.60 stat_clsubs_top_meta_pref_attempted: 331745
% 0.20/0.60 stat_clsubs_top_meta_pref1_succeeded: 16795
% 0.20/0.60 stat_clsubs_top_meta_pref2_succeeded: 2649
% 0.20/0.60 stat_clsubs_top_meta_pref3_succeeded: 1828
% 0.20/0.60 stat_clsubs_top_meta_pref_succeeded: 1828
% 0.20/0.60 stat_clsubs_meta_attempted: 3945
% 0.20/0.60 stat_clsubs_meta_failed: 1689
% 0.20/0.60 stat_clsubs_predsymbs_attempted: 0
% 0.20/0.60 stat_clsubs_unit_attempted: 0
% 0.20/0.60 stat_clsubs_full_attempted: 1828
% 0.20/0.60 stat_forwardsubs_attempted: 2314
% 0.20/0.60 stat_lit_hash_added: 22847
% 0.20/0.60 stat_lit_hash_computed: 42897
% 0.20/0.60 stat_lit_hash_match_found: 569
% 0.20/0.60 stat_lit_hash_match_miss: 29141
% 0.20/0.60 stat_lit_hash_cut_ok: 233
% 0.20/0.60 stat_lit_strong_cut_ok: 0
% 0.20/0.60 stat_lit_hash_subsume_ok: 26
% 0.20/0.60 clqueue els 10000000 used 1
% 0.20/0.60 clactive els 10000000 used 12035
% 0.20/0.60 clactivesubsume els 10000000 used 6283
% 0.20/0.60 queue_termbuf els 200000000 used 124558
% 0.20/0.60 hyper_termbuf els 100000000 used 1
% 0.20/0.60 active_termbuf els 100000000 used 124775
% 0.20/0.60 varstack els 5000 last used 1
% 0.20/0.60 given_termbuf els 10000000 last used 1
% 0.20/0.60 simplified_termbuf els 10000000 last used 1
% 0.20/0.60 derived_termbuf els 10000000 last used 29
% 0.20/0.60 wr_mallocs: 130410
% 0.20/0.60 wr_callocs: 21
% 0.20/0.60 wr_reallocs: 617
% 0.20/0.60 wr_frees: 2
% 0.20/0.60 wr_malloc_bytes: 4167105204
% 0.20/0.60 wr_calloc_bytes: 112065536
% 0.20/0.60 wr_realloc_bytes: 754368
% 0.20/0.60 wr_realloc_freebytes: 0
% 0.20/0.60 ----------------------------------
%------------------------------------------------------------------------------