TSTP Solution File: CSR115+61 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+61 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n010.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 21:24:34 EDT 2023
% Result : Theorem 0.21s 0.59s
% Output : CNFRefutation 0.21s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12 % Problem : CSR115+61 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.13 % Command : gkc %s
% 0.14/0.35 % Computer : n010.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 09:26:04 EDT 2023
% 0.14/0.35 % CPUTime :
% 0.21/0.48
% 0.21/0.48 input clause set summed statistics:
% 0.21/0.48 ----------------------------------
% 0.21/0.48 in_clause_count: 10542
% 0.21/0.48 in_rule_clause_count: 336
% 0.21/0.48 in_fact_clause_count: 10206
% 0.21/0.48 in_answer_clause_count: 0
% 0.21/0.48 in_ground_clause_count: 10206
% 0.21/0.48 in_unit_clause_count: 10208
% 0.21/0.48 in_horn_clause_count: 10532
% 0.21/0.48 in_pos_clause_count: 10212
% 0.21/0.48 in_neg_clause_count: 11
% 0.21/0.48 in_poseq_clause_count: 0
% 0.21/0.48 in_negeq_clause_count: 0
% 0.21/0.48 in_unitposeq_clause_count: 0
% 0.21/0.48 in_chain_clause_count: 0
% 0.21/0.48 in_min_length: 1
% 0.21/0.48 in_max_length: 9
% 0.21/0.48 in_min_depth: 1
% 0.21/0.48 in_max_depth: 5
% 0.21/0.48 in_min_size: 3
% 0.21/0.48 in_max_size: 30
% 0.21/0.48 in_min_vars: 0
% 0.21/0.48 in_max_vars: 7
% 0.21/0.48 in_extaxiom_count: 10394
% 0.21/0.48 in_axiom_count: 0
% 0.21/0.48 in_assumption_count: 147
% 0.21/0.48 in_goal_count: 1
% 0.21/0.48 in_neg_goal_count: 1
% 0.21/0.48 in_pos_goal_count: 0
% 0.21/0.48 in_posunit_goal_count: 0
% 0.21/0.48
% 0.21/0.48 auto guide:
% 0.21/0.48 -----------
% 0.21/0.48 {
% 0.21/0.48 "print":1,
% 0.21/0.48 "print_level": 15,
% 0.21/0.48 "max_size": 0,
% 0.21/0.48 "max_depth": 0,
% 0.21/0.48 "max_length": 0,
% 0.21/0.48 "max_dseconds": 0,
% 0.21/0.48 "equality":0,
% 0.21/0.48 "runs":[
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.21/0.48 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.21/0.48 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.48 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.48 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.21/0.48 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.48 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.48 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.21/0.48
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.21/0.48 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.21/0.48 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.48 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.48 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.21/0.48 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.21/0.48 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.48 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.21/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.48 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.48 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.48 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.48 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.21/0.48
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.48 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.48 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.48 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.21/0.48 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.21/0.48 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.48 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.21/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.48 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.48 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.48 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.48 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.21/0.48
% 0.21/0.48 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.48 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.48 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.48 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.48
% 0.21/0.48 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.48 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.48 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.48 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.48 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.48 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.21/0.48
% 0.21/0.48 ]}
% 0.21/0.48
% 0.21/0.48
% 0.21/0.48 **** run 1 fork 0 starts with strategy
% 0.21/0.48 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.21/0.48
% 0.21/0.48 **** run 2 fork 1 starts with strategy
% 0.21/0.48 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.21/0.48
% 0.21/0.48 **** run 3 fork 2 starts with strategy
% 0.21/0.48 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.21/0.48
% 0.21/0.48 **** run 4 fork 3 starts with strategy
% 0.21/0.48 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.21/0.48
% 0.21/0.48 **** run 5 fork 4 starts with strategy
% 0.21/0.48 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.21/0.48
% 0.21/0.48 **** run 6 fork 5 starts with strategy
% 0.21/0.48 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.21/0.48
% 0.21/0.48 **** run 7 fork 6 starts with strategy
% 0.21/0.48 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.21/0.49
% 0.21/0.49 **** run 8 fork 7 starts with strategy
% 0.21/0.49 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.21/0.59
% 0.21/0.59
% 0.21/0.59 result: proof found
% 0.21/0.59 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.59 by run 7 fork 6 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.21/0.59 % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.59
% 0.21/0.59 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.59 fof('ave07_era5_synth_qa07_007_mira_news_1334_$sk', plain, (varia(c10386,varia_c) & (refer(c10386,det) & (quant(c10386,quant_c) & (gener(c10386,sp) & (fact(c10386,real) & (etype(c10386,etype_c) & (card(c10386,card_c) & (sort(c10386,co) & (gener(c5,sp) & (fact(c5,real) & (sort(c5,st) & (varia(re_1_1,varia_c) & (refer(re_1_1,refer_c) & (quant(re_1_1,one) & (gener(re_1_1,sp) & (fact(re_1_1,real) & (etype(re_1_1,int0) & (card(re_1_1,int1) & (sort(re_1_1,t) & (varia(future_0,varia_c) & (refer(future_0,refer_c) & (quant(future_0,one) & (gener(future_0,sp) & (fact(future_0,real) & (etype(future_0,int0) & (card(future_0,int1) & (sort(future_0,t) & (varia(bald_1_1,varia_c) & (refer(bald_1_1,refer_c) & (quant(bald_1_1,one) & (gener(bald_1_1,sp) & (fact(bald_1_1,real) & (etype(bald_1_1,int0) & (card(bald_1_1,int1) & (sort(bald_1_1,t) & (gener(befinden_1_2,ge) & (fact(befinden_1_2,real) & (sort(befinden_1_2,st) & (gener(so_1_1,gener_c) & (fact(so_1_1,real) & (sort(so_1_1,md) & (gener(c11981,sp) & (fact(c11981,real) & (sort(c11981,st) & (sort(rover_0,fe) & (varia(c11966,varia_c) & (refer(c11966,indet) & (quant(c11966,one) & (gener(c11966,sp) & (fact(c11966,real) & (etype(c11966,int0) & (card(c11966,int1) & (sort(c11966,na) & (gener(nehmen_1_7,ge) & (fact(nehmen_1_7,real) & (sort(nehmen_1_7,da) & (varia(c11965,con) & (refer(c11965,det) & (quant(c11965,one) & (gener(c11965,sp) & (fact(c11965,real) & (etype(c11965,int0) & (card(c11965,int1) & (sort(c11965,io) & (sort(c11965,d) & (gener(c11873,sp) & (fact(c11873,real) & (sort(c11873,da) & (varia(marke_1_1,varia_c) & (refer(marke_1_1,refer_c) & (quant(marke_1_1,one) & (gener(marke_1_1,ge) & (fact(marke_1_1,real) & (etype(marke_1_1,int0) & (card(marke_1_1,int1) & (sort(marke_1_1,oa) & (sort(marke_1_1,io) & (sort(britisch__1_1,nq) & (varia(c11687,con) & (refer(c11687,det) & (quant(c11687,one) & (gener(c11687,sp) & (fact(c11687,real) & (etype(c11687,int0) & (card(c11687,int1) & (sort(c11687,oa) & (sort(c11687,io) & (sort(bmw_0,fe) & (varia(name_1_1,varia_c) & (refer(name_1_1,refer_c) & (quant(name_1_1,one) & (gener(name_1_1,ge) & (fact(name_1_1,real) & (etype(name_1_1,int0) & (card(name_1_1,int1) & (sort(name_1_1,na) & (varia(firma_1_1,varia_c) & (refer(firma_1_1,refer_c) & (quant(firma_1_1,one) & (gener(firma_1_1,ge) & (fact(firma_1_1,real) & (etype(firma_1_1,int0) & (card(firma_1_1,int1) & (sort(firma_1_1,io) & (sort(firma_1_1,d) & (varia(c11683,varia_c) & (refer(c11683,indet) & (quant(c11683,one) & (gener(c11683,sp) & (fact(c11683,real) & (etype(c11683,int0) & (card(c11683,int1) & (sort(c11683,na) & (varia(c11682,con) & (refer(c11682,det) & (quant(c11682,one) & (gener(c11682,sp) & (fact(c11682,real) & (etype(c11682,int0) & (card(c11682,int1) & (sort(c11682,io) & (sort(c11682,d) & (temp(c5,c11873) & (subs(c5,befinden_1_2) & (scar(c5,c10386) & (modl(c5,so_1_1) & (temp(c11981,re_1_1) & (temp(c11981,future_0) & (temp(c11981,bald_1_1) & (subs(c11981,befinden_1_2) & (semrel(c11981,c11873) & (scar(c11981,c11682) & (modl(c11981,so_1_1) & (val(c11966,rover_0) & (sub(c11966,name_1_1) & (sub(c11965,firma_1_1) & (attr(c11965,c11966) & (subs(c11873,nehmen_1_7) & (obj(c11873,c11687) & (benf(c11873,c11682) & (agt(c11873,c11965) & (sub(c11687,marke_1_1) & (prop(c11687,britisch__1_1) & (val(c11683,bmw_0) & (sub(c11683,name_1_1) & (sub(c11682,firma_1_1) & attr(c11682,c11683))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.21/0.59 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1334'])).
% 0.21/0.59 fof('ave07_era5_synth_qa07_007_mira_news_1334', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((attr(c11682,c11683) & sub(c11682,firma_1_1)) & sub(c11683,name_1_1)) & val(c11683,bmw_0)) & prop(c11687,britisch__1_1)) & sub(c11687,marke_1_1)) & agt(c11873,c11965)) & benf(c11873,c11682)) & obj(c11873,c11687)) & subs(c11873,nehmen_1_7)) & attr(c11965,c11966)) & sub(c11965,firma_1_1)) & sub(c11966,name_1_1)) & val(c11966,rover_0)) & modl(c11981,so_1_1)) & scar(c11981,c11682)) & semrel(c11981,c11873)) & subs(c11981,befinden_1_2)) & temp(c11981,bald_1_1)) & temp(c11981,future_0)) & temp(c11981,re_1_1)) & modl(c5,so_1_1)) & scar(c5,c10386)) & subs(c5,befinden_1_2)) & temp(c5,c11873)) & sort(c11682,d)) & sort(c11682,io)) & card(c11682,int1)) & etype(c11682,int0)) & fact(c11682,real)) & gener(c11682,sp)) & quant(c11682,one)) & refer(c11682,det)) & varia(c11682,con)) & sort(c11683,na)) & card(c11683,int1)) & etype(c11683,int0)) & fact(c11683,real)) & gener(c11683,sp)) & quant(c11683,one)) & refer(c11683,indet)) & varia(c11683,varia_c)) & sort(firma_1_1,d)) & sort(firma_1_1,io)) & card(firma_1_1,int1)) & etype(firma_1_1,int0)) & fact(firma_1_1,real)) & gener(firma_1_1,ge)) & quant(firma_1_1,one)) & refer(firma_1_1,refer_c)) & varia(firma_1_1,varia_c)) & sort(name_1_1,na)) & card(name_1_1,int1)) & etype(name_1_1,int0)) & fact(name_1_1,real)) & gener(name_1_1,ge)) & quant(name_1_1,one)) & refer(name_1_1,refer_c)) & varia(name_1_1,varia_c)) & sort(bmw_0,fe)) & sort(c11687,io)) & sort(c11687,oa)) & card(c11687,int1)) & etype(c11687,int0)) & fact(c11687,real)) & gener(c11687,sp)) & quant(c11687,one)) & refer(c11687,det)) & varia(c11687,con)) & sort(britisch__1_1,nq)) & sort(marke_1_1,io)) & sort(marke_1_1,oa)) & card(marke_1_1,int1)) & etype(marke_1_1,int0)) & fact(marke_1_1,real)) & gener(marke_1_1,ge)) & quant(marke_1_1,one)) & refer(marke_1_1,refer_c)) & varia(marke_1_1,varia_c)) & sort(c11873,da)) & fact(c11873,real)) & gener(c11873,sp)) & sort(c11965,d)) & sort(c11965,io)) & card(c11965,int1)) & etype(c11965,int0)) & fact(c11965,real)) & gener(c11965,sp)) & quant(c11965,one)) & refer(c11965,det)) & varia(c11965,con)) & sort(nehmen_1_7,da)) & fact(nehmen_1_7,real)) & gener(nehmen_1_7,ge)) & sort(c11966,na)) & card(c11966,int1)) & etype(c11966,int0)) & fact(c11966,real)) & gener(c11966,sp)) & quant(c11966,one)) & refer(c11966,indet)) & varia(c11966,varia_c)) & sort(rover_0,fe)) & sort(c11981,st)) & fact(c11981,real)) & gener(c11981,sp)) & sort(so_1_1,md)) & fact(so_1_1,real)) & gener(so_1_1,gener_c)) & sort(befinden_1_2,st)) & fact(befinden_1_2,real)) & gener(befinden_1_2,ge)) & sort(bald_1_1,t)) & card(bald_1_1,int1)) & etype(bald_1_1,int0)) & fact(bald_1_1,real)) & gener(bald_1_1,sp)) & quant(bald_1_1,one)) & refer(bald_1_1,refer_c)) & varia(bald_1_1,varia_c)) & sort(future_0,t)) & card(future_0,int1)) & etype(future_0,int0)) & fact(future_0,real)) & gener(future_0,sp)) & quant(future_0,one)) & refer(future_0,refer_c)) & varia(future_0,varia_c)) & sort(re_1_1,t)) & card(re_1_1,int1)) & etype(re_1_1,int0)) & fact(re_1_1,real)) & gener(re_1_1,sp)) & quant(re_1_1,one)) & refer(re_1_1,refer_c)) & varia(re_1_1,varia_c)) & sort(c5,st)) & fact(c5,real)) & gener(c5,sp)) & sort(c10386,co)) & card(c10386,card_c)) & etype(c10386,etype_c)) & fact(c10386,real)) & gener(c10386,sp)) & quant(c10386,quant_c)) & refer(c10386,det)) & varia(c10386,varia_c)),
% 0.21/0.59 input).
% 0.21/0.59 fof('synth_qa07_007_mira_news_1334_$sk', plain, (~val(X7,bmw_0) | (~val(X1,bmw_0) | (~sub(X7,name_1_1) | (~sub(X2,firma_1_1) | (~sub(X1,name_1_1) | (~obj(X3,X2) | (~attr(X6,X5) | (~attr(X4,X7) | ~attr(X2,X1))))))))),
% 0.21/0.59 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1334'])).
% 0.21/0.59 fof('synth_qa07_007_mira_news_1334', conjecture, (? [X0,X1,X2,X3,X4,X5,X6] : ((((((((attr(X0,X1) & attr(X3,X2)) & attr(X5,X6)) & obj(X4,X0)) & sub(X1,name_1_1)) & sub(X0,firma_1_1)) & sub(X2,name_1_1)) & val(X1,bmw_0)) & val(X2,bmw_0))),
% 0.21/0.59 input).
% 0.21/0.59 fof('$inc_attr_val_name_1_1__name_rel_$sk', plain, (name(X3,X2) | (~val(X1,X2) | (~sub(X1,name_1_1) | ~attr(X3,X1)))),
% 0.21/0.59 inference(negpush_and_skolemize,[],['$inc_attr_val_name_1_1__name_rel'])).
% 0.21/0.59 fof('$inc_attr_val_name_1_1__name_rel', axiom, (! [X0,X1,X2] : (((attr(X2,X0) & sub(X0,name_1_1)) & val(X0,X1)) => name(X2,X1))),
% 0.21/0.59 input).
% 0.21/0.59 fof('$inc_name_rel__attr_val_name_1_1_$sk', plain, ((val($sk3(X1,X2),X2) & (sub($sk3(X1,X2),name_1_1) & attr(X1,$sk3(X1,X2)))) | ~name(X1,X2)),
% 0.21/0.59 inference(negpush_and_skolemize,[],['$inc_name_rel__attr_val_name_1_1'])).
% 0.21/0.59 fof('$inc_name_rel__attr_val_name_1_1', axiom, (! [X0,X1] : (name(X1,X0) => (? [X2] : ((attr(X1,X2) & sub(X2,name_1_1)) & val(X2,X0))))),
% 0.21/0.59 input).
% 0.21/0.59 fof('$inc_state_adjective__in_state_$sk', plain, ((val($sk16(X1,X2,X3),X3) & (sub($sk16(X1,X2,X3),name_1_1) & (sub($sk15(X1,X2,X3),land_1_1) & (loc(X2,$sk14(X1,X2,X3)) & (attr($sk15(X1,X2,X3),$sk16(X1,X2,X3)) & in($sk14(X1,X2,X3),$sk15(X1,X2,X3))))))) | (~state_adjective_state_binding(X1,X3) | ~prop(X2,X1))),
% 0.21/0.59 inference(negpush_and_skolemize,[],['$inc_state_adjective__in_state'])).
% 0.21/0.59 fof('$inc_state_adjective__in_state', axiom, (! [X0,X1,X2] : ((prop(X0,X1) & state_adjective_state_binding(X1,X2)) => (? [X3,X4,X5] : (((((in(X5,X3) & attr(X3,X4)) & loc(X0,X5)) & sub(X3,land_1_1)) & sub(X4,name_1_1)) & val(X4,X2))))),
% 0.21/0.59 input).
% 0.21/0.59 fof('$inc_fact_8846', axiom, state_adjective_state_binding(britisch__1_1,grossbritannien_0),
% 0.21/0.59 input).
% 0.21/0.59 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)))),
% 0.21/0.59 inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.21/0.59 fof('$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))))),
% 0.21/0.59 input).
% 0.21/0.59 fof('$inc_sub__sub_0_expansion_$sk', plain, ((subr($sk6(X1,X2),sub_0) & (arg2($sk6(X1,X2),X2) & arg1($sk6(X1,X2),X1))) | ~sub(X1,X2)),
% 0.21/0.59 inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.21/0.59 fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.21/0.59 input).
% 0.21/0.59 cnf('1', plain, (attr(c11682,c11683)),
% 0.21/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1334_$sk'])).
% 0.21/0.59 cnf('2', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(U,V) | ~attr(W,X) | ~obj(X2006,W) | ~sub(W,firma_1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 0.21/0.59 inference(cnf_transformation,[],['synth_qa07_007_mira_news_1334_$sk'])).
% 0.21/0.59 cnf('3', plain, (val(c11683,bmw_0)),
% 0.21/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1334_$sk'])).
% 0.21/0.59 cnf('4', plain, (sub(c11682,firma_1_1)),
% 0.21/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1334_$sk'])).
% 0.21/0.59 cnf('5', plain, (sub(c11683,name_1_1)),
% 0.21/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1334_$sk'])).
% 0.21/0.59 cnf('6', plain, (~val(X,bmw_0) | ~attr(Y,Z) | ~attr(U,X) | ~obj(V,c11682) | ~sub(X,name_1_1)),
% 0.21/0.59 inference(resolution,[then_simplify],['1','2','3','4','5'])).
% 0.21/0.59 cnf('7', plain, (~val(X,Y) | ~attr(Z,X) | ~sub(X,name_1_1) | name(Z,Y)),
% 0.21/0.59 inference(cnf_transformation,[],['$inc_attr_val_name_1_1__name_rel_$sk'])).
% 0.21/0.59 cnf('8', plain, (val(c11683,bmw_0)),
% 0.21/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1334_$sk'])).
% 0.21/0.59 cnf('9', plain, (~attr(X,c11683) | name(X,bmw_0)),
% 0.21/0.59 inference(resolution,[then_simplify],['7','8','5'])).
% 0.21/0.59 cnf('10', plain, (name(c11682,bmw_0)),
% 0.21/0.59 inference(resolution,[],['9','1'])).
% 0.21/0.59 cnf('11', plain, (attr(X,$sk3(X,Y)) | ~name(X,Y)),
% 0.21/0.59 inference(cnf_transformation,[],['$inc_name_rel__attr_val_name_1_1_$sk'])).
% 0.21/0.59 cnf('12', plain, (attr(c11682,$sk3(c11682,bmw_0))),
% 0.21/0.59 inference(resolution,[],['10','11'])).
% 0.21/0.59 cnf('13', plain, (val($sk3(X,Y),Y) | ~name(X,Y)),
% 0.21/0.59 inference(cnf_transformation,[],['$inc_name_rel__attr_val_name_1_1_$sk'])).
% 0.21/0.59 cnf('14', plain, (val($sk3(c11682,bmw_0),bmw_0)),
% 0.21/0.59 inference(resolution,[],['10','13'])).
% 0.21/0.59 cnf('15', plain, (sub($sk3(X,Y),name_1_1) | ~name(X,Y)),
% 0.21/0.59 inference(cnf_transformation,[],['$inc_name_rel__attr_val_name_1_1_$sk'])).
% 0.21/0.59 cnf('16', plain, (sub($sk3(c11682,bmw_0),name_1_1)),
% 0.21/0.59 inference(resolution,[],['10','15'])).
% 0.21/0.59 cnf('17', plain, (~attr(X,Y) | ~obj(Z,c11682)),
% 0.21/0.59 inference(resolution,[then_simplify],['6','12','14','16'])).
% 0.21/0.59 cnf('18', plain, (attr($sk15(X,Y,Z),$sk16(X,Y,Z)) | ~state_adjective_state_binding(X,Z) | ~prop(Y,X)),
% 0.21/0.59 inference(cnf_transformation,[],['$inc_state_adjective__in_state_$sk'])).
% 0.21/0.59 cnf('19', plain, (state_adjective_state_binding(britisch__1_1,grossbritannien_0)),
% 0.21/0.59 inference(cnf_transformation,[],['$inc_fact_8846'])).
% 0.21/0.59 cnf('20', plain, (attr($sk15(britisch__1_1,X,grossbritannien_0),$sk16(britisch__1_1,X,grossbritannien_0)) | ~prop(X,britisch__1_1)),
% 0.21/0.59 inference(resolution,[],['18','19'])).
% 0.21/0.59 cnf('21', plain, (prop(c11687,britisch__1_1)),
% 0.21/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1334_$sk'])).
% 0.21/0.59 cnf('22', plain, (attr($sk15(britisch__1_1,c11687,grossbritannien_0),$sk16(britisch__1_1,c11687,grossbritannien_0))),
% 0.21/0.59 inference(resolution,[],['20','21'])).
% 0.21/0.59 cnf('23', plain, (val($sk16(X,Y,Z),Z) | ~state_adjective_state_binding(X,Z) | ~prop(Y,X)),
% 0.21/0.59 inference(cnf_transformation,[],['$inc_state_adjective__in_state_$sk'])).
% 0.21/0.59 cnf('24', plain, (val($sk16(britisch__1_1,c11687,X),X) | ~state_adjective_state_binding(britisch__1_1,X)),
% 0.21/0.59 inference(resolution,[],['23','21'])).
% 0.21/0.59 cnf('25', plain, (val($sk16(britisch__1_1,c11687,grossbritannien_0),grossbritannien_0)),
% 0.21/0.59 inference(resolution,[],['24','19'])).
% 0.21/0.59 cnf('26', plain, (sub($sk16(X,Y,Z),name_1_1) | ~state_adjective_state_binding(X,Z) | ~prop(Y,X)),
% 0.21/0.59 inference(cnf_transformation,[],['$inc_state_adjective__in_state_$sk'])).
% 0.21/0.59 cnf('27', plain, (sub($sk16(britisch__1_1,X,grossbritannien_0),name_1_1) | ~prop(X,britisch__1_1)),
% 0.21/0.59 inference(resolution,[],['26','19'])).
% 0.21/0.59 cnf('28', plain, (sub($sk16(britisch__1_1,c11687,grossbritannien_0),name_1_1)),
% 0.21/0.59 inference(resolution,[],['27','21'])).
% 0.21/0.59 cnf('29', plain, (~attr(X,$sk16(britisch__1_1,c11687,grossbritannien_0)) | name(X,grossbritannien_0)),
% 0.21/0.59 inference(resolution,[then_simplify],['7','25','28'])).
% 0.21/0.59 cnf('30', plain, (name($sk15(britisch__1_1,c11687,grossbritannien_0),grossbritannien_0)),
% 0.21/0.59 inference(resolution,[],['22','29'])).
% 0.21/0.59 cnf('31', plain, (attr($sk15(britisch__1_1,c11687,grossbritannien_0),$sk3($sk15(britisch__1_1,c11687,grossbritannien_0),grossbritannien_0))),
% 0.21/0.59 inference(resolution,[],['30','11'])).
% 0.21/0.59 cnf('32', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.21/0.59 inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.21/0.59 cnf('33', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.21/0.59 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.21/0.59 cnf('34', plain, (sub(c11682,firma_1_1)),
% 0.21/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1334_$sk'])).
% 0.21/0.59 cnf('35', plain, (arg2($sk6(c11682,firma_1_1),firma_1_1)),
% 0.21/0.59 inference(resolution,[],['33','34'])).
% 0.21/0.59 cnf('36', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.21/0.59 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.21/0.59 cnf('37', plain, (subr($sk6(c11682,firma_1_1),sub_0)),
% 0.21/0.59 inference(resolution,[],['36','34'])).
% 0.21/0.59 cnf('38', plain, (obj($sk9(X,$sk6(c11682,firma_1_1),firma_1_1),X) | ~arg1($sk6(c11682,firma_1_1),X)),
% 0.21/0.59 inference(resolution,[then_simplify],['32','35','37'])).
% 0.21/0.59 cnf('39', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.21/0.59 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.21/0.59 cnf('40', plain, (arg1($sk6(c11682,firma_1_1),c11682)),
% 0.21/0.59 inference(resolution,[],['39','34'])).
% 0.21/0.59 cnf('41', plain, (obj($sk9(c11682,$sk6(c11682,firma_1_1),firma_1_1),c11682)),
% 0.21/0.59 inference(resolution,[],['38','40'])).
% 0.21/0.59 cnf('42', plain, ($false),
% 0.21/0.59 inference(resolution,[then_simplify],['17','31','41'])).
% 0.21/0.59
% 0.21/0.59 % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.59
% 0.21/0.59 run 7 fork 6 statistics:
% 0.21/0.59 ----------------------------------
% 0.21/0.59 this run seconds: 0.075674
% 0.21/0.59 total seconds: 0.108781
% 0.21/0.59 stat_given_used: 2227
% 0.21/0.59 stat_given_used_at_endgame: 0
% 0.21/0.59 stat_given_candidates: 2911
% 0.21/0.59 stat_given_candidates_at_endgame: 0
% 0.21/0.59 stat_given_candidates_h: 0
% 0.21/0.59 stat_binres_derived_cl: 6048
% 0.21/0.59 stat_binres_derived_cl_h: 0
% 0.21/0.59 stat_factor_derived_cl: 25
% 0.21/0.59 stat_para_derived_cl: 0
% 0.21/0.59 stat_tautologies_discarded: 3
% 0.21/0.59 stat_forward_subsumed: 105
% 0.21/0.59 stat_derived_cut: 703
% 0.21/0.59 stat_derived_rewritten: 0
% 0.21/0.59 stat_weight_discarded_building: 0
% 0.21/0.59 stat_weight_discarded_cl: 1729
% 0.21/0.59 stat_internlimit_discarded_cl: 0
% 0.21/0.59 stat_simplified: 0 simplified 0 derived 0 given
% 0.21/0.59 stat_kept_cl: 4235
% 0.21/0.59 stat_built_cl: 10418
% 0.21/0.59 stat_hyperres_partial_cl: 0
% 0.21/0.59 stat_made_rewriters: 0
% 0.21/0.59 stat_backward_subsumed: 0
% 0.21/0.59 stat_propagated_subsumed: 0
% 0.21/0.59 stat_clsubs_attempted: 9676
% 0.21/0.59 stat_clsubs_fact_groundunit_found: 238
% 0.21/0.59 stat_clsubs_rule_groundunit_found: 0
% 0.21/0.59 stat_clsubs_top_meta_attempted: 1888342
% 0.21/0.59 stat_clsubs_top_meta_failed: 1878666
% 0.21/0.59 stat_clsubs_top_meta_nonpref_attempted: 1888342
% 0.21/0.59 stat_clsubs_top_meta_nonpref_succeeded: 816876
% 0.21/0.59 stat_clsubs_top_meta_pref_attempted: 816876
% 0.21/0.59 stat_clsubs_top_meta_pref1_succeeded: 51908
% 0.21/0.59 stat_clsubs_top_meta_pref2_succeeded: 14585
% 0.21/0.59 stat_clsubs_top_meta_pref3_succeeded: 9676
% 0.21/0.59 stat_clsubs_top_meta_pref_succeeded: 9676
% 0.21/0.59 stat_clsubs_meta_attempted: 17522
% 0.21/0.59 stat_clsubs_meta_failed: 8164
% 0.21/0.59 stat_clsubs_predsymbs_attempted: 0
% 0.21/0.59 stat_clsubs_unit_attempted: 50
% 0.21/0.59 stat_clsubs_full_attempted: 9626
% 0.21/0.59 stat_forwardsubs_attempted: 6070
% 0.21/0.59 stat_lit_hash_added: 4038
% 0.21/0.59 stat_lit_hash_computed: 52363
% 0.21/0.59 stat_lit_hash_match_found: 1031
% 0.21/0.59 stat_lit_hash_match_miss: 70036
% 0.21/0.59 stat_lit_hash_cut_ok: 688
% 0.21/0.59 stat_lit_strong_cut_ok: 44
% 0.21/0.59 stat_lit_hash_subsume_ok: 105
% 0.21/0.59 clqueue els 10000000 used 1
% 0.21/0.59 clactive els 10000000 used 2228
% 0.21/0.59 clactivesubsume els 10000000 used 9841
% 0.21/0.59 queue_termbuf els 200000000 used 260911
% 0.21/0.59 hyper_termbuf els 100000000 used 1
% 0.21/0.59 active_termbuf els 100000000 used 63304
% 0.21/0.59 varstack els 5000 last used 1
% 0.21/0.59 given_termbuf els 10000000 last used 1
% 0.21/0.59 simplified_termbuf els 10000000 last used 1
% 0.21/0.59 derived_termbuf els 10000000 last used 22
% 0.21/0.59 wr_mallocs: 17849
% 0.21/0.59 wr_callocs: 21
% 0.21/0.59 wr_reallocs: 935
% 0.21/0.59 wr_frees: 4
% 0.21/0.59 wr_malloc_bytes: 4163213508
% 0.21/0.59 wr_calloc_bytes: 112065536
% 0.21/0.59 wr_realloc_bytes: 849208
% 0.21/0.59 wr_realloc_freebytes: 0
% 0.21/0.59 ----------------------------------
%------------------------------------------------------------------------------