TSTP Solution File: CSR114+7 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR114+7 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n003.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 21:24:20 EDT 2023
% Result : Theorem 0.20s 0.56s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.13 % Problem : CSR114+7 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.13 % Command : gkc %s
% 0.13/0.34 % Computer : n003.cluster.edu
% 0.13/0.34 % Model : x86_64 x86_64
% 0.13/0.34 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.34 % Memory : 8042.1875MB
% 0.13/0.34 % OS : Linux 3.10.0-693.el7.x86_64
% 0.13/0.34 % CPULimit : 300
% 0.13/0.34 % WCLimit : 300
% 0.13/0.34 % DateTime : Mon Aug 28 08:32:10 EDT 2023
% 0.19/0.35 % CPUTime :
% 0.20/0.47
% 0.20/0.47 input clause set summed statistics:
% 0.20/0.47 ----------------------------------
% 0.20/0.47 in_clause_count: 10677
% 0.20/0.47 in_rule_clause_count: 337
% 0.20/0.47 in_fact_clause_count: 10340
% 0.20/0.47 in_answer_clause_count: 0
% 0.20/0.47 in_ground_clause_count: 10341
% 0.20/0.47 in_unit_clause_count: 10343
% 0.20/0.47 in_horn_clause_count: 10667
% 0.20/0.47 in_pos_clause_count: 10347
% 0.20/0.47 in_neg_clause_count: 11
% 0.20/0.47 in_poseq_clause_count: 0
% 0.20/0.47 in_negeq_clause_count: 0
% 0.20/0.47 in_unitposeq_clause_count: 0
% 0.20/0.47 in_chain_clause_count: 0
% 0.20/0.47 in_min_length: 1
% 0.20/0.47 in_max_length: 8
% 0.20/0.47 in_min_depth: 1
% 0.20/0.47 in_max_depth: 5
% 0.20/0.47 in_min_size: 3
% 0.20/0.47 in_max_size: 30
% 0.20/0.47 in_min_vars: 0
% 0.20/0.47 in_max_vars: 7
% 0.20/0.47 in_extaxiom_count: 10394
% 0.20/0.47 in_axiom_count: 0
% 0.20/0.47 in_assumption_count: 282
% 0.20/0.47 in_goal_count: 1
% 0.20/0.47 in_neg_goal_count: 1
% 0.20/0.47 in_pos_goal_count: 0
% 0.20/0.47 in_posunit_goal_count: 0
% 0.20/0.47
% 0.20/0.47 auto guide:
% 0.20/0.47 -----------
% 0.20/0.47 {
% 0.20/0.47 "print":1,
% 0.20/0.47 "print_level": 15,
% 0.20/0.47 "max_size": 0,
% 0.20/0.47 "max_depth": 0,
% 0.20/0.47 "max_length": 0,
% 0.20/0.47 "max_dseconds": 0,
% 0.20/0.47 "equality":0,
% 0.20/0.47 "runs":[
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.47
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.20/0.47 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.20/0.47
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.20/0.47 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.20/0.47
% 0.20/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.47
% 0.20/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.47 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.20/0.47
% 0.20/0.47 ]}
% 0.20/0.47
% 0.20/0.47
% 0.20/0.47 **** run 1 fork 0 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.20/0.47
% 0.20/0.47 **** run 2 fork 1 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.20/0.47
% 0.20/0.47 **** run 3 fork 2 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.20/0.47
% 0.20/0.47 **** run 4 fork 3 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.20/0.47
% 0.20/0.47 **** run 5 fork 4 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.20/0.47
% 0.20/0.47 **** run 6 fork 5 starts with strategy
% 0.20/0.47 {"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
% 0.20/0.47 **** run 7 fork 6 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.20/0.47 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.20/0.56
% 0.20/0.56
% 0.20/0.56 result: proof found
% 0.20/0.56 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.56 by run 5 fork 4 strategy {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.20/0.56 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.56
% 0.20/0.56 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.56 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))),
% 0.20/0.56 inference(negpush_and_skolemize,[],['$inc_state_adjective__in_state'])).
% 0.20/0.56 fof('$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))))),
% 0.20/0.56 input).
% 0.20/0.56 fof('ave07_era5_synth_qa07_004_mira_news_547_$sk', plain, (varia(rat_2_1,varia_c) & (refer(rat_2_1,refer_c) & (quant(rat_2_1,quant_c) & (gener(rat_2_1,ge) & (fact(rat_2_1,real) & (etype(rat_2_1,int1) & (card(rat_2_1,card_c) & (sort(rat_2_1,io) & (sort(rat_2_1,d) & (varia(aus_stellung_1_1,varia_c) & (refer(aus_stellung_1_1,refer_c) & (quant(aus_stellung_1_1,one) & (gener(aus_stellung_1_1,ge) & (fact(aus_stellung_1_1,real) & (etype(aus_stellung_1_1,int0) & (card(aus_stellung_1_1,int1) & (sort(aus_stellung_1_1,ad) & (varia(aufnahme_1_1,varia_c) & (refer(aufnahme_1_1,refer_c) & (quant(aufnahme_1_1,one) & (gener(aufnahme_1_1,ge) & (fact(aufnahme_1_1,real) & (etype(aufnahme_1_1,int0) & (card(aufnahme_1_1,int1) & (sort(aufnahme_1_1,io) & (sort(aufnahme_1_1,d) & (sort(wender_0,fe) & (varia(c846,varia_c) & (refer(c846,indet) & (quant(c846,one) & (gener(c846,sp) & (fact(c846,real) & (etype(c846,int0) & (card(c846,int1) & (sort(c846,na) & (varia(c845,con) & (refer(c845,det) & (quant(c845,one) & (gener(c845,sp) & (fact(c845,real) & (etype(c845,int0) & (card(c845,int1) & (sort(c845,d) & (varia(arbeit_1_1,varia_c) & (refer(arbeit_1_1,refer_c) & (quant(arbeit_1_1,one) & (gener(arbeit_1_1,ge) & (fact(arbeit_1_1,real) & (etype(arbeit_1_1,int0) & (card(arbeit_1_1,int1) & (sort(arbeit_1_1,ad) & (varia(fotoausstellung_1_1,varia_c) & (refer(fotoausstellung_1_1,refer_c) & (quant(fotoausstellung_1_1,one) & (gener(fotoausstellung_1_1,ge) & (fact(fotoausstellung_1_1,real) & (etype(fotoausstellung_1_1,int0) & (card(fotoausstellung_1_1,int1) & (sort(fotoausstellung_1_1,ad) & (varia(retrospektive_1_1,varia_c) & (refer(retrospektive_1_1,refer_c) & (quant(retrospektive_1_1,one) & (gener(retrospektive_1_1,ge) & (fact(retrospektive_1_1,real) & (etype(retrospektive_1_1,int0) & (card(retrospektive_1_1,int1) & (sort(retrospektive_1_1,o) & (varia(hauptsstadt_1_1,varia_c) & (refer(hauptsstadt_1_1,refer_c) & (quant(hauptsstadt_1_1,one) & (gener(hauptsstadt_1_1,ge) & (fact(hauptsstadt_1_1,real) & (etype(hauptsstadt_1_1,int0) & (card(hauptsstadt_1_1,int1) & (sort(hauptsstadt_1_1,io) & (sort(hauptsstadt_1_1,d) & (sort(italienisch__1_1,nq) & (varia(c795,con) & (refer(c795,det) & (quant(c795,one) & (gener(c795,sp) & (fact(c795,real) & (etype(c795,int0) & (card(c795,int1) & (sort(c795,io) & (sort(c795,d) & (varia(stadtrat_1_1,varia_c) & (refer(stadtrat_1_1,refer_c) & (quant(stadtrat_1_1,quant_c) & (gener(stadtrat_1_1,ge) & (fact(stadtrat_1_1,real) & (etype(stadtrat_1_1,int1) & (card(stadtrat_1_1,card_c) & (sort(stadtrat_1_1,io) & (sort(stadtrat_1_1,d) & (varia(kultur_1_1,varia_c) & (refer(kultur_1_1,refer_c) & (quant(kultur_1_1,one) & (gener(kultur_1_1,ge) & (fact(kultur_1_1,real) & (etype(kultur_1_1,int0) & (card(kultur_1_1,int1) & (sort(kultur_1_1,io) & (sort(rom_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(c782,varia_c) & (refer(c782,indet) & (quant(c782,one) & (gener(c782,sp) & (fact(c782,real) & (etype(c782,int0) & (card(c782,int1) & (sort(c782,na) & (varia(institut__1_1,varia_c) & (refer(institut__1_1,refer_c) & (quant(institut__1_1,one) & (gener(institut__1_1,ge) & (fact(institut__1_1,real) & (etype(institut__1_1,int0) & (card(institut__1_1,int1) & (sort(institut__1_1,io) & (sort(institut__1_1,d) & (sort(goethe_0,fe) & (varia(familiename_1_1,varia_c) & (refer(familiename_1_1,refer_c) & (quant(familiename_1_1,one) & (gener(familiename_1_1,ge) & (fact(familiename_1_1,real) & (etype(familiename_1_1,int0) & (card(familiename_1_1,int1) & (sort(familiename_1_1,na) & (varia(mensch_1_1,varia_c) & (refer(mensch_1_1,refer_c) & (quant(mensch_1_1,one) & (gener(mensch_1_1,ge) & (fact(mensch_1_1,real) & (etype(mensch_1_1,int0) & (card(mensch_1_1,int1) & (sort(mensch_1_1,d) & (varia(c775,varia_c) & (refer(c775,indet) & (quant(c775,one) & (gener(c775,sp) & (fact(c775,real) & (etype(c775,int0) & (card(c775,int1) & (sort(c775,na) & (varia(c822,con) & (refer(c822,det) & (quant(c822,mult) & (gener(c822,sp) & (fact(c822,real) & (etype(c822,int1) & (card(c822,cons(x_constant,cons(int1,nil))) & (sort(c822,ad) & (varia(c810,varia_c) & (refer(c810,det) & (quant(c810,one) & (gener(c810,sp) & (fact(c810,real) & (etype(c810,int0) & (card(c810,int1) & (sort(c810,o) & (varia(c807,varia_c) & (refer(c807,indet) & (quant(c807,one) & (gener(c807,sp) & (fact(c807,real) & (etype(c807,int0) & (card(c807,int1) & (sort(c807,ad) & (varia(c800,varia_c) & (refer(c800,refer_c) & (quant(c800,one) & (gener(c800,gener_c) & (fact(c800,real) & (etype(c800,int0) & (card(c800,int1) & (sort(c800,o) & (varia(c790,varia_c) & (refer(c790,det) & (quant(c790,one) & (gener(c790,sp) & (fact(c790,real) & (etype(c790,int1) & (card(c790,int1) & (sort(c790,io) & (sort(c790,d) & (varia(c785,varia_c) & (refer(c785,refer_c) & (quant(c785,one) & (gener(c785,gener_c) & (fact(c785,real) & (etype(c785,int0) & (card(c785,int1) & (sort(c785,io) & (varia(c781,con) & (refer(c781,det) & (quant(c781,one) & (gener(c781,sp) & (fact(c781,real) & (etype(c781,int0) & (card(c781,int1) & (sort(c781,io) & (sort(c781,d) & (varia(c776,varia_c) & (refer(c776,refer_c) & (quant(c776,one) & (gener(c776,gener_c) & (fact(c776,real) & (etype(c776,int0) & (card(c776,int1) & (sort(c776,io) & (sort(c776,d) & (varia(c774,con) & (refer(c774,det) & (quant(c774,one) & (gener(c774,sp) & (fact(c774,real) & (etype(c774,int0) & (card(c774,int1) & (sort(c774,d) & (varia(c744,varia_c) & (refer(c744,det) & (quant(c744,one) & (gener(c744,sp) & (fact(c744,real) & (etype(c744,int0) & (card(c744,int1) & (sort(c744,o) & (varia(c2641,varia_c) & (refer(c2641,refer_c) & (quant(c2641,quant_c) & (gener(c2641,gener_c) & (fact(c2641,real) & (etype(c2641,etype_c) & (card(c2641,card_c) & (sort(c2641,ent) & (sub(stadtrat_1_1,rat_2_1) & (assoc(stadtrat_1_1,stadt__1_1) & (sub(hauptsstadt_1_1,stadt__1_1) & (subs(fotoausstellung_1_1,aus_stellung_1_1) & (assoc(fotoausstellung_1_1,aufnahme_1_1) & (val(c846,wender_0) & (sub(c846,familiename_1_1) & (sub(c845,mensch_1_1) & (attr(c845,c846) & (attch(c845,c822) & (preds(c822,arbeit_1_1) & (subs(c807,fotoausstellung_1_1) & (sub(c800,retrospektive_1_1) & (sub(c795,hauptsstadt_1_1) & (prop(c795,italienisch__1_1) & (attch(c795,c790) & (sub(c790,stadtrat_1_1) & (sub(c785,kultur_1_1) & (val(c782,rom_0) & (sub(c782,name_1_1) & (sub(c781,stadt__1_1) & (attr(c781,c782) & (sub(c776,institut__1_1) & (val(c775,goethe_0) & (sub(c775,familiename_1_1) & (sub(c774,mensch_1_1) & (attr(c774,c775) & tupl_p11(c2641,c744,c774,c776,c781,c785,c790,c800,c807,c810,c822)))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.20/0.56 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_004_mira_news_547'])).
% 0.20/0.56 fof('ave07_era5_synth_qa07_004_mira_news_547', hypothesis, (((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((tupl_p11(c2641,c744,c774,c776,c781,c785,c790,c800,c807,c810,c822) & attr(c774,c775)) & sub(c774,mensch_1_1)) & sub(c775,familiename_1_1)) & val(c775,goethe_0)) & sub(c776,institut__1_1)) & attr(c781,c782)) & sub(c781,stadt__1_1)) & sub(c782,name_1_1)) & val(c782,rom_0)) & sub(c785,kultur_1_1)) & sub(c790,stadtrat_1_1)) & attch(c795,c790)) & prop(c795,italienisch__1_1)) & sub(c795,hauptsstadt_1_1)) & sub(c800,retrospektive_1_1)) & subs(c807,fotoausstellung_1_1)) & preds(c822,arbeit_1_1)) & attch(c845,c822)) & attr(c845,c846)) & sub(c845,mensch_1_1)) & sub(c846,familiename_1_1)) & val(c846,wender_0)) & assoc(fotoausstellung_1_1,aufnahme_1_1)) & subs(fotoausstellung_1_1,aus_stellung_1_1)) & sub(hauptsstadt_1_1,stadt__1_1)) & assoc(stadtrat_1_1,stadt__1_1)) & sub(stadtrat_1_1,rat_2_1)) & sort(c2641,ent)) & card(c2641,card_c)) & etype(c2641,etype_c)) & fact(c2641,real)) & gener(c2641,gener_c)) & quant(c2641,quant_c)) & refer(c2641,refer_c)) & varia(c2641,varia_c)) & sort(c744,o)) & card(c744,int1)) & etype(c744,int0)) & fact(c744,real)) & gener(c744,sp)) & quant(c744,one)) & refer(c744,det)) & varia(c744,varia_c)) & sort(c774,d)) & card(c774,int1)) & etype(c774,int0)) & fact(c774,real)) & gener(c774,sp)) & quant(c774,one)) & refer(c774,det)) & varia(c774,con)) & sort(c776,d)) & sort(c776,io)) & card(c776,int1)) & etype(c776,int0)) & fact(c776,real)) & gener(c776,gener_c)) & quant(c776,one)) & refer(c776,refer_c)) & varia(c776,varia_c)) & sort(c781,d)) & sort(c781,io)) & card(c781,int1)) & etype(c781,int0)) & fact(c781,real)) & gener(c781,sp)) & quant(c781,one)) & refer(c781,det)) & varia(c781,con)) & sort(c785,io)) & card(c785,int1)) & etype(c785,int0)) & fact(c785,real)) & gener(c785,gener_c)) & quant(c785,one)) & refer(c785,refer_c)) & varia(c785,varia_c)) & sort(c790,d)) & sort(c790,io)) & card(c790,int1)) & etype(c790,int1)) & fact(c790,real)) & gener(c790,sp)) & quant(c790,one)) & refer(c790,det)) & varia(c790,varia_c)) & sort(c800,o)) & card(c800,int1)) & etype(c800,int0)) & fact(c800,real)) & gener(c800,gener_c)) & quant(c800,one)) & refer(c800,refer_c)) & varia(c800,varia_c)) & sort(c807,ad)) & card(c807,int1)) & etype(c807,int0)) & fact(c807,real)) & gener(c807,sp)) & quant(c807,one)) & refer(c807,indet)) & varia(c807,varia_c)) & sort(c810,o)) & card(c810,int1)) & etype(c810,int0)) & fact(c810,real)) & gener(c810,sp)) & quant(c810,one)) & refer(c810,det)) & varia(c810,varia_c)) & sort(c822,ad)) & card(c822,cons(x_constant,cons(int1,nil)))) & etype(c822,int1)) & fact(c822,real)) & gener(c822,sp)) & quant(c822,mult)) & refer(c822,det)) & varia(c822,con)) & sort(c775,na)) & card(c775,int1)) & etype(c775,int0)) & fact(c775,real)) & gener(c775,sp)) & quant(c775,one)) & refer(c775,indet)) & varia(c775,varia_c)) & sort(mensch_1_1,d)) & card(mensch_1_1,int1)) & etype(mensch_1_1,int0)) & fact(mensch_1_1,real)) & gener(mensch_1_1,ge)) & quant(mensch_1_1,one)) & refer(mensch_1_1,refer_c)) & varia(mensch_1_1,varia_c)) & sort(familiename_1_1,na)) & card(familiename_1_1,int1)) & etype(familiename_1_1,int0)) & fact(familiename_1_1,real)) & gener(familiename_1_1,ge)) & quant(familiename_1_1,one)) & refer(familiename_1_1,refer_c)) & varia(familiename_1_1,varia_c)) & sort(goethe_0,fe)) & sort(institut__1_1,d)) & sort(institut__1_1,io)) & card(institut__1_1,int1)) & etype(institut__1_1,int0)) & fact(institut__1_1,real)) & gener(institut__1_1,ge)) & quant(institut__1_1,one)) & refer(institut__1_1,refer_c)) & varia(institut__1_1,varia_c)) & sort(c782,na)) & card(c782,int1)) & etype(c782,int0)) & fact(c782,real)) & gener(c782,sp)) & quant(c782,one)) & refer(c782,indet)) & varia(c782,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(rom_0,fe)) & sort(kultur_1_1,io)) & card(kultur_1_1,int1)) & etype(kultur_1_1,int0)) & fact(kultur_1_1,real)) & gener(kultur_1_1,ge)) & quant(kultur_1_1,one)) & refer(kultur_1_1,refer_c)) & varia(kultur_1_1,varia_c)) & sort(stadtrat_1_1,d)) & sort(stadtrat_1_1,io)) & card(stadtrat_1_1,card_c)) & etype(stadtrat_1_1,int1)) & fact(stadtrat_1_1,real)) & gener(stadtrat_1_1,ge)) & quant(stadtrat_1_1,quant_c)) & refer(stadtrat_1_1,refer_c)) & varia(stadtrat_1_1,varia_c)) & sort(c795,d)) & sort(c795,io)) & card(c795,int1)) & etype(c795,int0)) & fact(c795,real)) & gener(c795,sp)) & quant(c795,one)) & refer(c795,det)) & varia(c795,con)) & sort(italienisch__1_1,nq)) & sort(hauptsstadt_1_1,d)) & sort(hauptsstadt_1_1,io)) & card(hauptsstadt_1_1,int1)) & etype(hauptsstadt_1_1,int0)) & fact(hauptsstadt_1_1,real)) & gener(hauptsstadt_1_1,ge)) & quant(hauptsstadt_1_1,one)) & refer(hauptsstadt_1_1,refer_c)) & varia(hauptsstadt_1_1,varia_c)) & sort(retrospektive_1_1,o)) & card(retrospektive_1_1,int1)) & etype(retrospektive_1_1,int0)) & fact(retrospektive_1_1,real)) & gener(retrospektive_1_1,ge)) & quant(retrospektive_1_1,one)) & refer(retrospektive_1_1,refer_c)) & varia(retrospektive_1_1,varia_c)) & sort(fotoausstellung_1_1,ad)) & card(fotoausstellung_1_1,int1)) & etype(fotoausstellung_1_1,int0)) & fact(fotoausstellung_1_1,real)) & gener(fotoausstellung_1_1,ge)) & quant(fotoausstellung_1_1,one)) & refer(fotoausstellung_1_1,refer_c)) & varia(fotoausstellung_1_1,varia_c)) & sort(arbeit_1_1,ad)) & card(arbeit_1_1,int1)) & etype(arbeit_1_1,int0)) & fact(arbeit_1_1,real)) & gener(arbeit_1_1,ge)) & quant(arbeit_1_1,one)) & refer(arbeit_1_1,refer_c)) & varia(arbeit_1_1,varia_c)) & sort(c845,d)) & card(c845,int1)) & etype(c845,int0)) & fact(c845,real)) & gener(c845,sp)) & quant(c845,one)) & refer(c845,det)) & varia(c845,con)) & sort(c846,na)) & card(c846,int1)) & etype(c846,int0)) & fact(c846,real)) & gener(c846,sp)) & quant(c846,one)) & refer(c846,indet)) & varia(c846,varia_c)) & sort(wender_0,fe)) & sort(aufnahme_1_1,d)) & sort(aufnahme_1_1,io)) & card(aufnahme_1_1,int1)) & etype(aufnahme_1_1,int0)) & fact(aufnahme_1_1,real)) & gener(aufnahme_1_1,ge)) & quant(aufnahme_1_1,one)) & refer(aufnahme_1_1,refer_c)) & varia(aufnahme_1_1,varia_c)) & sort(aus_stellung_1_1,ad)) & card(aus_stellung_1_1,int1)) & etype(aus_stellung_1_1,int0)) & fact(aus_stellung_1_1,real)) & gener(aus_stellung_1_1,ge)) & quant(aus_stellung_1_1,one)) & refer(aus_stellung_1_1,refer_c)) & varia(aus_stellung_1_1,varia_c)) & sort(rat_2_1,d)) & sort(rat_2_1,io)) & card(rat_2_1,card_c)) & etype(rat_2_1,int1)) & fact(rat_2_1,real)) & gener(rat_2_1,ge)) & quant(rat_2_1,quant_c)) & refer(rat_2_1,refer_c)) & varia(rat_2_1,varia_c)),
% 0.20/0.56 input).
% 0.20/0.56 fof('$inc_fact_8886', axiom, state_adjective_state_binding(italienisch__1_1,italien_0),
% 0.20/0.56 input).
% 0.20/0.56 fof('$inc_loc__stehen_1_1_loc_$sk', plain, ((subs($sk1(X1,X2),stehen_1_1) & (scar($sk1(X1,X2),X2) & loc($sk1(X1,X2),X1))) | ~loc(X2,X1)),
% 0.20/0.56 inference(negpush_and_skolemize,[],['$inc_loc__stehen_1_1_loc'])).
% 0.20/0.56 fof('$inc_loc__stehen_1_1_loc', axiom, (! [X0,X1] : (loc(X0,X1) => (? [X2] : ((loc(X2,X1) & scar(X2,X0)) & subs(X2,stehen_1_1))))),
% 0.20/0.56 input).
% 0.20/0.56 fof('synth_qa07_004_mira_news_547_$sk', plain, (~val(X5,rom_0) | (~subs(X1,stehen_1_1) | (~sub(X4,stadt__1_1) | (~sub(X5,name_1_1) | (~scar(X1,X3) | (~loc(X1,X2) | ~attr(X4,X5))))))),
% 0.20/0.56 inference(negpush_and_skolemize,[],['synth_qa07_004_mira_news_547'])).
% 0.20/0.56 fof('synth_qa07_004_mira_news_547', conjecture, (? [X0,X1,X2,X3,X4] : ((((((attr(X0,X1) & loc(X4,X2)) & scar(X4,X3)) & sub(X1,name_1_1)) & sub(X0,stadt__1_1)) & subs(X4,stehen_1_1)) & val(X1,rom_0))),
% 0.20/0.56 input).
% 0.20/0.56 cnf('1', plain, (loc(X,$sk14(Y,X,Z)) | ~state_adjective_state_binding(Y,Z) | ~prop(X,Y)),
% 0.20/0.56 inference(cnf_transformation,[],['$inc_state_adjective__in_state_$sk'])).
% 0.20/0.56 cnf('2', plain, (prop(c795,italienisch__1_1)),
% 0.20/0.56 inference(cnf_transformation,[],['ave07_era5_synth_qa07_004_mira_news_547_$sk'])).
% 0.20/0.56 cnf('3', plain, (loc(c795,$sk14(italienisch__1_1,c795,X)) | ~state_adjective_state_binding(italienisch__1_1,X)),
% 0.20/0.56 inference(resolution,[],['1','2'])).
% 0.20/0.56 cnf('4', plain, (state_adjective_state_binding(italienisch__1_1,italien_0)),
% 0.20/0.56 inference(cnf_transformation,[],['$inc_fact_8886'])).
% 0.20/0.56 cnf('5', plain, (loc(c795,$sk14(italienisch__1_1,c795,italien_0))),
% 0.20/0.56 inference(resolution,[],['3','4'])).
% 0.20/0.56 cnf('6', plain, (scar($sk1(X,Y),Y) | ~loc(Y,X)),
% 0.20/0.56 inference(cnf_transformation,[],['$inc_loc__stehen_1_1_loc_$sk'])).
% 0.20/0.56 cnf('7', plain, (scar($sk1($sk14(italienisch__1_1,c795,italien_0),c795),c795)),
% 0.20/0.56 inference(resolution,[],['5','6'])).
% 0.20/0.56 cnf('8', plain, (subs($sk1(X,Y),stehen_1_1) | ~loc(Y,X)),
% 0.20/0.56 inference(cnf_transformation,[],['$inc_loc__stehen_1_1_loc_$sk'])).
% 0.20/0.56 cnf('9', plain, (subs($sk1($sk14(italienisch__1_1,c795,italien_0),c795),stehen_1_1)),
% 0.20/0.56 inference(resolution,[],['5','8'])).
% 0.20/0.56 cnf('10', plain, (attr(c781,c782)),
% 0.20/0.56 inference(cnf_transformation,[],['ave07_era5_synth_qa07_004_mira_news_547_$sk'])).
% 0.20/0.56 cnf('11', plain, (val(c782,rom_0)),
% 0.20/0.56 inference(cnf_transformation,[],['ave07_era5_synth_qa07_004_mira_news_547_$sk'])).
% 0.20/0.56 cnf('12', plain, (~val(X,rom_0) | ~attr(Y,X) | ~scar(Z,U) | ~loc(Z,V) | ~subs(Z,stehen_1_1) | ~sub(Y,stadt__1_1) | ~sub(X,name_1_1)),
% 0.20/0.56 inference(cnf_transformation,[],['synth_qa07_004_mira_news_547_$sk'])).
% 0.20/0.56 cnf('13', plain, (sub(c782,name_1_1)),
% 0.20/0.56 inference(cnf_transformation,[],['ave07_era5_synth_qa07_004_mira_news_547_$sk'])).
% 0.20/0.56 cnf('14', plain, (~attr(X,c782) | ~scar(Y,Z) | ~loc(Y,U) | ~subs(Y,stehen_1_1) | ~sub(X,stadt__1_1)),
% 0.20/0.56 inference(resolution,[then_simplify],['11','12','13'])).
% 0.20/0.56 cnf('15', plain, (sub(c781,stadt__1_1)),
% 0.20/0.56 inference(cnf_transformation,[],['ave07_era5_synth_qa07_004_mira_news_547_$sk'])).
% 0.20/0.56 cnf('16', plain, (~scar(X,Y) | ~loc(X,Z) | ~subs(X,stehen_1_1)),
% 0.20/0.56 inference(resolution,[then_simplify],['10','14','15'])).
% 0.20/0.56 cnf('17', plain, (~scar($sk1($sk14(italienisch__1_1,c795,italien_0),c795),X) | ~loc($sk1($sk14(italienisch__1_1,c795,italien_0),c795),Y)),
% 0.20/0.56 inference(resolution,[],['9','16'])).
% 0.20/0.56 cnf('18', plain, (loc($sk1(X,Y),X) | ~loc(Y,X)),
% 0.20/0.56 inference(cnf_transformation,[],['$inc_loc__stehen_1_1_loc_$sk'])).
% 0.20/0.56 cnf('19', plain, (loc($sk1($sk14(italienisch__1_1,c795,italien_0),c795),$sk14(italienisch__1_1,c795,italien_0))),
% 0.20/0.56 inference(resolution,[],['5','18'])).
% 0.20/0.56 cnf('20', plain, ($false),
% 0.20/0.56 inference(resolution,[then_simplify],['7','17','19'])).
% 0.20/0.56
% 0.20/0.56 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.56
% 0.20/0.56 run 5 fork 4 statistics:
% 0.20/0.56 ----------------------------------
% 0.20/0.56 this run seconds: 0.044147
% 0.20/0.56 total seconds: 0.084816
% 0.20/0.56 stat_given_used: 1909
% 0.20/0.56 stat_given_used_at_endgame: 0
% 0.20/0.56 stat_given_candidates: 2299
% 0.20/0.56 stat_given_candidates_at_endgame: 0
% 0.20/0.56 stat_given_candidates_h: 0
% 0.20/0.56 stat_binres_derived_cl: 1720
% 0.20/0.56 stat_binres_derived_cl_h: 0
% 0.20/0.56 stat_factor_derived_cl: 10
% 0.20/0.56 stat_para_derived_cl: 0
% 0.20/0.56 stat_tautologies_discarded: 3
% 0.20/0.56 stat_forward_subsumed: 7
% 0.20/0.56 stat_derived_cut: 4
% 0.20/0.56 stat_derived_rewritten: 0
% 0.20/0.56 stat_weight_discarded_building: 0
% 0.20/0.56 stat_weight_discarded_cl: 0
% 0.20/0.56 stat_internlimit_discarded_cl: 0
% 0.20/0.56 stat_simplified: 0 simplified 0 derived 0 given
% 0.20/0.56 stat_kept_cl: 1719
% 0.20/0.56 stat_built_cl: 5537
% 0.20/0.56 stat_hyperres_partial_cl: 0
% 0.20/0.56 stat_made_rewriters: 0
% 0.20/0.56 stat_backward_subsumed: 0
% 0.20/0.56 stat_propagated_subsumed: 0
% 0.20/0.56 stat_clsubs_attempted: 3710
% 0.20/0.56 stat_clsubs_fact_groundunit_found: 283
% 0.20/0.56 stat_clsubs_rule_groundunit_found: 0
% 0.20/0.56 stat_clsubs_top_meta_attempted: 641798
% 0.20/0.56 stat_clsubs_top_meta_failed: 638088
% 0.20/0.56 stat_clsubs_top_meta_nonpref_attempted: 641798
% 0.20/0.56 stat_clsubs_top_meta_nonpref_succeeded: 152928
% 0.20/0.56 stat_clsubs_top_meta_pref_attempted: 152928
% 0.20/0.56 stat_clsubs_top_meta_pref1_succeeded: 9965
% 0.20/0.56 stat_clsubs_top_meta_pref2_succeeded: 5520
% 0.20/0.56 stat_clsubs_top_meta_pref3_succeeded: 3710
% 0.20/0.56 stat_clsubs_top_meta_pref_succeeded: 3710
% 0.20/0.56 stat_clsubs_meta_attempted: 7593
% 0.20/0.56 stat_clsubs_meta_failed: 4873
% 0.20/0.56 stat_clsubs_predsymbs_attempted: 0
% 0.20/0.56 stat_clsubs_unit_attempted: 73
% 0.20/0.56 stat_clsubs_full_attempted: 3637
% 0.20/0.56 stat_forwardsubs_attempted: 1727
% 0.20/0.56 stat_lit_hash_added: 3090
% 0.20/0.56 stat_lit_hash_computed: 16498
% 0.20/0.56 stat_lit_hash_match_found: 293
% 0.20/0.56 stat_lit_hash_match_miss: 19234
% 0.20/0.56 stat_lit_hash_cut_ok: 3
% 0.20/0.56 stat_lit_strong_cut_ok: 1
% 0.20/0.56 stat_lit_hash_subsume_ok: 7
% 0.20/0.56 clqueue els 10000000 used 1
% 0.20/0.56 clactive els 10000000 used 1910
% 0.20/0.56 clactivesubsume els 10000000 used 5281
% 0.20/0.56 queue_termbuf els 200000000 used 87634
% 0.20/0.56 hyper_termbuf els 100000000 used 1
% 0.20/0.56 active_termbuf els 100000000 used 50207
% 0.20/0.56 varstack els 5000 last used 1
% 0.20/0.56 given_termbuf els 10000000 last used 1
% 0.20/0.56 simplified_termbuf els 10000000 last used 1
% 0.20/0.56 derived_termbuf els 10000000 last used 37
% 0.20/0.56 wr_mallocs: 13893
% 0.20/0.56 wr_callocs: 21
% 0.20/0.56 wr_reallocs: 398
% 0.20/0.56 wr_frees: 4
% 0.20/0.56 wr_malloc_bytes: 4163084180
% 0.20/0.56 wr_calloc_bytes: 112065536
% 0.20/0.56 wr_realloc_bytes: 725424
% 0.20/0.56 wr_realloc_freebytes: 0
% 0.20/0.56 ----------------------------------
%------------------------------------------------------------------------------