TSTP Solution File: CSR115+13 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+13 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n018.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 21:24:22 EDT 2023
% Result : Theorem 0.20s 0.53s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12 % Problem : CSR115+13 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.13 % Command : gkc %s
% 0.16/0.34 % Computer : n018.cluster.edu
% 0.16/0.34 % Model : x86_64 x86_64
% 0.16/0.34 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.16/0.34 % Memory : 8042.1875MB
% 0.16/0.34 % OS : Linux 3.10.0-693.el7.x86_64
% 0.16/0.34 % CPULimit : 300
% 0.16/0.34 % WCLimit : 300
% 0.16/0.34 % DateTime : Mon Aug 28 09:57:02 EDT 2023
% 0.16/0.34 % CPUTime :
% 0.20/0.46
% 0.20/0.46 input clause set summed statistics:
% 0.20/0.46 ----------------------------------
% 0.20/0.46 in_clause_count: 10672
% 0.20/0.46 in_rule_clause_count: 336
% 0.20/0.46 in_fact_clause_count: 10336
% 0.20/0.46 in_answer_clause_count: 0
% 0.20/0.46 in_ground_clause_count: 10336
% 0.20/0.46 in_unit_clause_count: 10338
% 0.20/0.46 in_horn_clause_count: 10662
% 0.20/0.46 in_pos_clause_count: 10342
% 0.20/0.46 in_neg_clause_count: 11
% 0.20/0.46 in_poseq_clause_count: 0
% 0.20/0.46 in_negeq_clause_count: 0
% 0.20/0.46 in_unitposeq_clause_count: 0
% 0.20/0.46 in_chain_clause_count: 0
% 0.20/0.46 in_min_length: 1
% 0.20/0.46 in_max_length: 8
% 0.20/0.46 in_min_depth: 1
% 0.20/0.46 in_max_depth: 5
% 0.20/0.46 in_min_size: 3
% 0.20/0.46 in_max_size: 30
% 0.20/0.46 in_min_vars: 0
% 0.20/0.46 in_max_vars: 7
% 0.20/0.46 in_extaxiom_count: 10394
% 0.20/0.46 in_axiom_count: 0
% 0.20/0.46 in_assumption_count: 277
% 0.20/0.46 in_goal_count: 1
% 0.20/0.46 in_neg_goal_count: 1
% 0.20/0.46 in_pos_goal_count: 0
% 0.20/0.46 in_posunit_goal_count: 0
% 0.20/0.46
% 0.20/0.46 auto guide:
% 0.20/0.46 -----------
% 0.20/0.46 {
% 0.20/0.46 "print":1,
% 0.20/0.46 "print_level": 15,
% 0.20/0.46 "max_size": 0,
% 0.20/0.46 "max_depth": 0,
% 0.20/0.46 "max_length": 0,
% 0.20/0.46 "max_dseconds": 0,
% 0.20/0.46 "equality":0,
% 0.20/0.46 "runs":[
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.46 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.46 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.46 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.46 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.46 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.46 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.46 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.46
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.46 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.46 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.46 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.46 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.46 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.20/0.46 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.46 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.46 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.20/0.46
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.46 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.46 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.46 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.20/0.46 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.46 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.46 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.20/0.46
% 0.20/0.46 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.46 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.46 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.46
% 0.20/0.46 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.20/0.46
% 0.20/0.46 ]}
% 0.20/0.46
% 0.20/0.46
% 0.20/0.46 **** run 1 fork 0 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.20/0.46
% 0.20/0.46 **** run 2 fork 1 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.20/0.46
% 0.20/0.46 **** run 3 fork 2 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.20/0.46
% 0.20/0.46 **** run 4 fork 3 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.20/0.46
% 0.20/0.46 **** run 5 fork 4 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.20/0.46
% 0.20/0.46 **** run 6 fork 5 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.20/0.47
% 0.20/0.47 **** run 8 fork 7 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.20/0.47 **** run 7 fork 6 starts with strategy
% 0.20/0.47
% 0.20/0.47 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.20/0.53
% 0.20/0.53
% 0.20/0.53 result: proof found
% 0.20/0.53 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.53 by run 3 fork 2 strategy {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.20/0.53 % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.53
% 0.20/0.53 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.53 fof('ave07_era5_synth_qa07_007_mira_news_1114_$sk', plain, (varia(c14579,varia_c) & (refer(c14579,refer_c) & (quant(c14579,quant_c) & (gener(c14579,gener_c) & (fact(c14579,real) & (etype(c14579,etype_c) & (card(c14579,card_c) & (sort(c14579,ent) & (varia(betrieb_1_1,varia_c) & (refer(betrieb_1_1,refer_c) & (quant(betrieb_1_1,one) & (gener(betrieb_1_1,ge) & (fact(betrieb_1_1,real) & (etype(betrieb_1_1,int0) & (card(betrieb_1_1,int1) & (sort(betrieb_1_1,ad) & (varia(c14404,varia_c) & (refer(c14404,refer_c) & (quant(c14404,one) & (gener(c14404,gener_c) & (fact(c14404,real) & (etype(c14404,int0) & (card(c14404,int1) & (sort(c14404,ad) & (sort(spartanburg_0,fe) & (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(c14398,varia_c) & (refer(c14398,indet) & (quant(c14398,one) & (gener(c14398,sp) & (fact(c14398,real) & (etype(c14398,int0) & (card(c14398,int1) & (sort(c14398,na) & (varia(c14397,con) & (refer(c14397,det) & (quant(c14397,one) & (gener(c14397,sp) & (fact(c14397,real) & (etype(c14397,int0) & (card(c14397,int1) & (sort(c14397,io) & (sort(c14397,d) & (varia(artefakt_1_1,varia_c) & (refer(artefakt_1_1,refer_c) & (quant(artefakt_1_1,one) & (gener(artefakt_1_1,ge) & (fact(artefakt_1_1,real) & (etype(artefakt_1_1,int0) & (card(artefakt_1_1,int1) & (sort(artefakt_1_1,io) & (sort(artefakt_1_1,d) & (varia(c14391,varia_c) & (refer(c14391,refer_c) & (quant(c14391,one) & (gener(c14391,gener_c) & (fact(c14391,real) & (etype(c14391,int0) & (card(c14391,int1) & (sort(c14391,io) & (sort(c14391,d) & (varia(c14386,varia_c) & (refer(c14386,det) & (quant(c14386,one) & (gener(c14386,sp) & (fact(c14386,real) & (etype(c14386,int0) & (card(c14386,int1) & (sort(c14386,o) & (sort(usa_0,fe) & (varia(c14383,varia_c) & (refer(c14383,indet) & (quant(c14383,one) & (gener(c14383,sp) & (fact(c14383,real) & (etype(c14383,int0) & (card(c14383,int1) & (sort(c14383,na) & (varia(c14382,con) & (refer(c14382,det) & (quant(c14382,one) & (gener(c14382,sp) & (fact(c14382,real) & (etype(c14382,int0) & (card(c14382,int1) & (sort(c14382,io) & (sort(c14382,d) & (varia(land_1_1,varia_c) & (refer(land_1_1,refer_c) & (quant(land_1_1,one) & (gener(land_1_1,ge) & (fact(land_1_1,real) & (etype(land_1_1,int0) & (card(land_1_1,int1) & (sort(land_1_1,io) & (sort(land_1_1,d) & (card(erst_1_1,int1) & (sort(erst_1_1,oq) & (varia(c14381,varia_c) & (refer(c14381,refer_c) & (quant(c14381,one) & (gener(c14381,ge) & (fact(c14381,real) & (etype(c14381,int0) & (card(c14381,int1) & (sort(c14381,io) & (sort(c14381,d) & (sort(rover_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) & (sort(britisch__1_1,nq) & (varia(c14369,varia_c) & (refer(c14369,indet) & (quant(c14369,one) & (gener(c14369,sp) & (fact(c14369,real) & (etype(c14369,int0) & (card(c14369,int1) & (sort(c14369,na) & (varia(c14368,con) & (refer(c14368,det) & (quant(c14368,one) & (gener(c14368,sp) & (fact(c14368,real) & (etype(c14368,int0) & (card(c14368,int1) & (sort(c14368,io) & (sort(c14368,d) & (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(c14124,varia_c) & (refer(c14124,refer_c) & (quant(c14124,one) & (gener(c14124,gener_c) & (fact(c14124,real) & (etype(c14124,int0) & (card(c14124,int1) & (sort(c14124,io) & (sort(c14124,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) & (varia(c14120,con) & (refer(c14120,det) & (quant(c14120,one) & (gener(c14120,sp) & (fact(c14120,real) & (etype(c14120,int0) & (card(c14120,int1) & (sort(c14120,d) & (card(c14110,int1994) & (sort(c14110,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(c14116,varia_c) & (refer(c14116,refer_c) & (quant(c14116,quant_c) & (gener(c14116,sp) & (fact(c14116,real) & (etype(c14116,etype_c) & (card(c14116,card_c) & (sort(c14116,ta) & (sort(c14116,oa) & (sort(c14116,me) & (varia(c14115,con) & (refer(c14115,det) & (quant(c14115,one) & (gener(c14115,sp) & (fact(c14115,real) & (etype(c14115,int0) & (card(c14115,int1) & (sort(c14115,t) & (varia(abschlu__337_1_1,varia_c) & (refer(abschlu__337_1_1,refer_c) & (quant(abschlu__337_1_1,one) & (gener(abschlu__337_1_1,ge) & (fact(abschlu__337_1_1,real) & (etype(abschlu__337_1_1,int0) & (card(abschlu__337_1_1,int1) & (sort(abschlu__337_1_1,io) & (sort(abschlu__337_1_1,ad) & (varia(c14109,varia_c) & (refer(c14109,refer_c) & (quant(c14109,one) & (gener(c14109,gener_c) & (fact(c14109,real) & (etype(c14109,int0) & (card(c14109,int1) & (sort(c14109,io) & (sort(c14109,ad) & (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) & (tupl_p9(c14579,c14115,c14120,c14124,c14368,c14382,c14391,c14397,c14404) & (subs(c14404,betrieb_1_1) & (val(c14398,spartanburg_0) & (sub(c14398,name_1_1) & (sub(c14397,stadt__1_1) & (attr(c14397,c14398) & (sub(c14391,artefakt_1_1) & (poss(c14386,c14382) & (val(c14383,usa_0) & (sub(c14383,name_1_1) & (sub(c14382,c14381) & (attr(c14382,c14383) & (pmod(c14381,erst_1_1,land_1_1) & (val(c14369,rover_0) & (sub(c14369,name_1_1) & (sub(c14368,autobauer_1_1) & (prop(c14368,britisch__1_1) & (attr(c14368,c14369) & (sub(c14124,firmengruppe_1_1) & (sub(c14120,bmw_1_1) & (val(c14116,c14110) & (sub(c14116,jahr__1_1) & (attr(c14115,c14116) & (assoc(c14115,c14109) & (sub(c14109,abschlu__337_1_1) & (sub(autobauer_1_1,fabrikant_1_1) & assoc(autobauer_1_1,auto__1_1))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.20/0.53 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1114'])).
% 0.20/0.53 fof('ave07_era5_synth_qa07_007_mira_news_1114', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((assoc(autobauer_1_1,auto__1_1) & sub(autobauer_1_1,fabrikant_1_1)) & sub(c14109,abschlu__337_1_1)) & assoc(c14115,c14109)) & attr(c14115,c14116)) & sub(c14116,jahr__1_1)) & val(c14116,c14110)) & sub(c14120,bmw_1_1)) & sub(c14124,firmengruppe_1_1)) & attr(c14368,c14369)) & prop(c14368,britisch__1_1)) & sub(c14368,autobauer_1_1)) & sub(c14369,name_1_1)) & val(c14369,rover_0)) & pmod(c14381,erst_1_1,land_1_1)) & attr(c14382,c14383)) & sub(c14382,c14381)) & sub(c14383,name_1_1)) & val(c14383,usa_0)) & poss(c14386,c14382)) & sub(c14391,artefakt_1_1)) & attr(c14397,c14398)) & sub(c14397,stadt__1_1)) & sub(c14398,name_1_1)) & val(c14398,spartanburg_0)) & subs(c14404,betrieb_1_1)) & tupl_p9(c14579,c14115,c14120,c14124,c14368,c14382,c14391,c14397,c14404)) & 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(c14109,ad)) & sort(c14109,io)) & card(c14109,int1)) & etype(c14109,int0)) & fact(c14109,real)) & gener(c14109,gener_c)) & quant(c14109,one)) & refer(c14109,refer_c)) & varia(c14109,varia_c)) & sort(abschlu__337_1_1,ad)) & sort(abschlu__337_1_1,io)) & card(abschlu__337_1_1,int1)) & etype(abschlu__337_1_1,int0)) & fact(abschlu__337_1_1,real)) & gener(abschlu__337_1_1,ge)) & quant(abschlu__337_1_1,one)) & refer(abschlu__337_1_1,refer_c)) & varia(abschlu__337_1_1,varia_c)) & sort(c14115,t)) & card(c14115,int1)) & etype(c14115,int0)) & fact(c14115,real)) & gener(c14115,sp)) & quant(c14115,one)) & refer(c14115,det)) & varia(c14115,con)) & sort(c14116,me)) & sort(c14116,oa)) & sort(c14116,ta)) & card(c14116,card_c)) & etype(c14116,etype_c)) & fact(c14116,real)) & gener(c14116,sp)) & quant(c14116,quant_c)) & refer(c14116,refer_c)) & varia(c14116,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(c14110,nu)) & card(c14110,int1994)) & sort(c14120,d)) & card(c14120,int1)) & etype(c14120,int0)) & fact(c14120,real)) & gener(c14120,sp)) & quant(c14120,one)) & refer(c14120,det)) & varia(c14120,con)) & 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(c14124,d)) & sort(c14124,io)) & card(c14124,int1)) & etype(c14124,int0)) & fact(c14124,real)) & gener(c14124,gener_c)) & quant(c14124,one)) & refer(c14124,refer_c)) & varia(c14124,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(c14368,d)) & sort(c14368,io)) & card(c14368,int1)) & etype(c14368,int0)) & fact(c14368,real)) & gener(c14368,sp)) & quant(c14368,one)) & refer(c14368,det)) & varia(c14368,con)) & sort(c14369,na)) & card(c14369,int1)) & etype(c14369,int0)) & fact(c14369,real)) & gener(c14369,sp)) & quant(c14369,one)) & refer(c14369,indet)) & varia(c14369,varia_c)) & sort(britisch__1_1,nq)) & 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(rover_0,fe)) & sort(c14381,d)) & sort(c14381,io)) & card(c14381,int1)) & etype(c14381,int0)) & fact(c14381,real)) & gener(c14381,ge)) & quant(c14381,one)) & refer(c14381,refer_c)) & varia(c14381,varia_c)) & sort(erst_1_1,oq)) & card(erst_1_1,int1)) & sort(land_1_1,d)) & sort(land_1_1,io)) & card(land_1_1,int1)) & etype(land_1_1,int0)) & fact(land_1_1,real)) & gener(land_1_1,ge)) & quant(land_1_1,one)) & refer(land_1_1,refer_c)) & varia(land_1_1,varia_c)) & sort(c14382,d)) & sort(c14382,io)) & card(c14382,int1)) & etype(c14382,int0)) & fact(c14382,real)) & gener(c14382,sp)) & quant(c14382,one)) & refer(c14382,det)) & varia(c14382,con)) & sort(c14383,na)) & card(c14383,int1)) & etype(c14383,int0)) & fact(c14383,real)) & gener(c14383,sp)) & quant(c14383,one)) & refer(c14383,indet)) & varia(c14383,varia_c)) & sort(usa_0,fe)) & sort(c14386,o)) & card(c14386,int1)) & etype(c14386,int0)) & fact(c14386,real)) & gener(c14386,sp)) & quant(c14386,one)) & refer(c14386,det)) & varia(c14386,varia_c)) & sort(c14391,d)) & sort(c14391,io)) & card(c14391,int1)) & etype(c14391,int0)) & fact(c14391,real)) & gener(c14391,gener_c)) & quant(c14391,one)) & refer(c14391,refer_c)) & varia(c14391,varia_c)) & sort(artefakt_1_1,d)) & sort(artefakt_1_1,io)) & card(artefakt_1_1,int1)) & etype(artefakt_1_1,int0)) & fact(artefakt_1_1,real)) & gener(artefakt_1_1,ge)) & quant(artefakt_1_1,one)) & refer(artefakt_1_1,refer_c)) & varia(artefakt_1_1,varia_c)) & sort(c14397,d)) & sort(c14397,io)) & card(c14397,int1)) & etype(c14397,int0)) & fact(c14397,real)) & gener(c14397,sp)) & quant(c14397,one)) & refer(c14397,det)) & varia(c14397,con)) & sort(c14398,na)) & card(c14398,int1)) & etype(c14398,int0)) & fact(c14398,real)) & gener(c14398,sp)) & quant(c14398,one)) & refer(c14398,indet)) & varia(c14398,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(spartanburg_0,fe)) & sort(c14404,ad)) & card(c14404,int1)) & etype(c14404,int0)) & fact(c14404,real)) & gener(c14404,gener_c)) & quant(c14404,one)) & refer(c14404,refer_c)) & varia(c14404,varia_c)) & sort(betrieb_1_1,ad)) & card(betrieb_1_1,int1)) & etype(betrieb_1_1,int0)) & fact(betrieb_1_1,real)) & gener(betrieb_1_1,ge)) & quant(betrieb_1_1,one)) & refer(betrieb_1_1,refer_c)) & varia(betrieb_1_1,varia_c)) & sort(c14579,ent)) & card(c14579,card_c)) & etype(c14579,etype_c)) & fact(c14579,real)) & gener(c14579,gener_c)) & quant(c14579,quant_c)) & refer(c14579,refer_c)) & varia(c14579,varia_c)),
% 0.20/0.53 input).
% 0.20/0.53 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)),
% 0.20/0.53 inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.20/0.53 fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.20/0.53 input).
% 0.20/0.53 fof('synth_qa07_007_mira_news_1114_$sk', plain, (~sub(X7,name_1_1) | (~sub(X1,name_1_1) | (~prop(X6,britisch__1_1) | (~obj(X2,X6) | (~attr(X5,X4) | (~attr(X3,X7) | ~attr(X6,X1))))))),
% 0.20/0.53 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1114'])).
% 0.20/0.53 fof('synth_qa07_007_mira_news_1114', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : ((((((attr(X0,X1) & attr(X3,X2)) & attr(X5,X6)) & obj(X4,X0)) & prop(X0,britisch__1_1)) & sub(X1,name_1_1)) & sub(X2,name_1_1))),
% 0.20/0.53 input).
% 0.20/0.53 fof('$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($sk7(X1,X2,X3),X1)))))))) | (~subr(X2,sub_0) | (~arg2(X2,X3) | ~arg1(X2,X1)))),
% 0.20/0.53 inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.20/0.53 fof('$inc_sub__bezeichnen_1_1_als', axiom, (! [X0,X1,X2] : (((arg1(X0,X1) & arg2(X0,X2)) & subr(X0,sub_0)) => (? [X3,X4,X5] : (((((((arg1(X4,X1) & arg2(X4,X5)) & hsit(X0,X3)) & mcont(X3,X4)) & obj(X3,X1)) & sub(X5,X2)) & subr(X4,rprs_0)) & subs(X3,bezeichnen_1_1))))),
% 0.20/0.53 input).
% 0.20/0.53 cnf('1', plain, (sub(c14368,autobauer_1_1)),
% 0.20/0.53 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1114_$sk'])).
% 0.20/0.53 cnf('2', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.20/0.53 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.53 cnf('3', plain, (subr($sk6(c14368,autobauer_1_1),sub_0)),
% 0.20/0.53 inference(resolution,[],['1','2'])).
% 0.20/0.53 cnf('4', plain, (attr(c14382,c14383)),
% 0.20/0.53 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1114_$sk'])).
% 0.20/0.53 cnf('5', plain, (attr(c14368,c14369)),
% 0.20/0.53 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1114_$sk'])).
% 0.20/0.53 cnf('6', plain, (sub(c14369,name_1_1)),
% 0.20/0.53 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1114_$sk'])).
% 0.20/0.53 cnf('7', plain, (~prop(X,britisch__1_1) | ~attr(Y,Z) | ~attr(U,V) | ~attr(X,W) | ~obj(X2006,X) | ~sub(W,name_1_1) | ~sub(Z,name_1_1)),
% 0.20/0.53 inference(cnf_transformation,[],['synth_qa07_007_mira_news_1114_$sk'])).
% 0.20/0.53 cnf('8', plain, (~prop(X,britisch__1_1) | ~attr(Y,Z) | ~attr(U,c14369) | ~attr(X,V) | ~obj(W,X) | ~sub(V,name_1_1)),
% 0.20/0.53 inference(resolution,[],['6','7'])).
% 0.20/0.53 cnf('9', plain, (prop(c14368,britisch__1_1)),
% 0.20/0.53 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1114_$sk'])).
% 0.20/0.53 cnf('10', plain, (sub(c14369,name_1_1)),
% 0.20/0.53 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1114_$sk'])).
% 0.20/0.53 cnf('11', plain, (~attr(X,c14369) | ~attr(Y,Z) | ~obj(U,c14368)),
% 0.20/0.53 inference(resolution,[then_simplify],['5','8','9','10'])).
% 0.20/0.53 cnf('12', plain, (~attr(X,Y) | ~obj(Z,c14368)),
% 0.20/0.53 inference(resolution,[],['11','5'])).
% 0.20/0.53 cnf('13', plain, (~obj(X,c14368)),
% 0.20/0.53 inference(resolution,[],['4','12'])).
% 0.20/0.53 cnf('14', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.20/0.53 inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.20/0.53 cnf('15', plain, (~subr(X,sub_0) | ~arg1(X,c14368) | ~arg2(X,Y)),
% 0.20/0.53 inference(resolution,[],['13','14'])).
% 0.20/0.53 cnf('16', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.20/0.53 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.53 cnf('17', plain, (arg1($sk6(c14368,autobauer_1_1),c14368)),
% 0.20/0.53 inference(resolution,[],['1','16'])).
% 0.20/0.53 cnf('18', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.20/0.53 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.20/0.53 cnf('19', plain, (arg2($sk6(c14368,autobauer_1_1),autobauer_1_1)),
% 0.20/0.53 inference(resolution,[],['1','18'])).
% 0.20/0.53 cnf('20', plain, ($false),
% 0.20/0.53 inference(resolution,[then_simplify],['3','15','17','19'])).
% 0.20/0.53
% 0.20/0.53 % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.53
% 0.20/0.53 run 3 fork 2 statistics:
% 0.20/0.53 ----------------------------------
% 0.20/0.53 this run seconds: 0.019775
% 0.20/0.53 total seconds: 0.066097
% 0.20/0.53 stat_given_used: 649
% 0.20/0.53 stat_given_used_at_endgame: 0
% 0.20/0.53 stat_given_candidates: 973
% 0.20/0.53 stat_given_candidates_at_endgame: 0
% 0.20/0.53 stat_given_candidates_h: 0
% 0.20/0.53 stat_binres_derived_cl: 1489
% 0.20/0.53 stat_binres_derived_cl_h: 0
% 0.20/0.53 stat_factor_derived_cl: 1
% 0.20/0.53 stat_para_derived_cl: 0
% 0.20/0.53 stat_tautologies_discarded: 0
% 0.20/0.53 stat_forward_subsumed: 21
% 0.20/0.53 stat_derived_cut: 54
% 0.20/0.53 stat_derived_rewritten: 0
% 0.20/0.53 stat_weight_discarded_building: 0
% 0.20/0.53 stat_weight_discarded_cl: 0
% 0.20/0.53 stat_internlimit_discarded_cl: 0
% 0.20/0.53 stat_simplified: 0 simplified 0 derived 0 given
% 0.20/0.53 stat_kept_cl: 1468
% 0.20/0.53 stat_built_cl: 3444
% 0.20/0.53 stat_hyperres_partial_cl: 0
% 0.20/0.53 stat_made_rewriters: 0
% 0.20/0.53 stat_backward_subsumed: 0
% 0.20/0.53 stat_propagated_subsumed: 0
% 0.20/0.53 stat_clsubs_attempted: 966
% 0.20/0.53 stat_clsubs_fact_groundunit_found: 110
% 0.20/0.53 stat_clsubs_rule_groundunit_found: 2
% 0.20/0.53 stat_clsubs_top_meta_attempted: 45697
% 0.20/0.53 stat_clsubs_top_meta_failed: 44731
% 0.20/0.53 stat_clsubs_top_meta_nonpref_attempted: 45697
% 0.20/0.53 stat_clsubs_top_meta_nonpref_succeeded: 5051
% 0.20/0.53 stat_clsubs_top_meta_pref_attempted: 5051
% 0.20/0.53 stat_clsubs_top_meta_pref1_succeeded: 1308
% 0.20/0.53 stat_clsubs_top_meta_pref2_succeeded: 974
% 0.20/0.53 stat_clsubs_top_meta_pref3_succeeded: 966
% 0.20/0.53 stat_clsubs_top_meta_pref_succeeded: 966
% 0.20/0.53 stat_clsubs_meta_attempted: 7438
% 0.20/0.53 stat_clsubs_meta_failed: 4082
% 0.20/0.53 stat_clsubs_predsymbs_attempted: 0
% 0.20/0.53 stat_clsubs_unit_attempted: 155
% 0.20/0.53 stat_clsubs_full_attempted: 811
% 0.20/0.53 stat_forwardsubs_attempted: 1490
% 0.20/0.53 stat_lit_hash_added: 2106
% 0.20/0.53 stat_lit_hash_computed: 13346
% 0.20/0.53 stat_lit_hash_match_found: 192
% 0.20/0.53 stat_lit_hash_match_miss: 16392
% 0.20/0.53 stat_lit_hash_cut_ok: 59
% 0.20/0.53 stat_lit_strong_cut_ok: 1
% 0.20/0.53 stat_lit_hash_subsume_ok: 21
% 0.20/0.53 clqueue els 10000000 used 1
% 0.20/0.53 clactive els 10000000 used 989
% 0.20/0.53 clactivesubsume els 10000000 used 577
% 0.20/0.53 queue_termbuf els 200000000 used 70744
% 0.20/0.53 hyper_termbuf els 100000000 used 1
% 0.20/0.53 active_termbuf els 100000000 used 20068
% 0.20/0.53 varstack els 5000 last used 1
% 0.20/0.53 given_termbuf els 10000000 last used 1
% 0.20/0.53 simplified_termbuf els 10000000 last used 1
% 0.20/0.53 derived_termbuf els 10000000 last used 46
% 0.20/0.53 wr_mallocs: 10177
% 0.20/0.53 wr_callocs: 21
% 0.20/0.53 wr_reallocs: 279
% 0.20/0.53 wr_frees: 4
% 0.20/0.53 wr_malloc_bytes: 4162949700
% 0.20/0.53 wr_calloc_bytes: 112065536
% 0.20/0.53 wr_realloc_bytes: 710648
% 0.20/0.53 wr_realloc_freebytes: 0
% 0.20/0.53 ----------------------------------
%------------------------------------------------------------------------------