TSTP Solution File: CSR114+14 by GKC---0.8
View Problem
- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR114+14 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n011.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 21:24:15 EDT 2023
% Result : Theorem 0.19s 0.55s
% Output : CNFRefutation 0.19s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.10/0.12 % Problem : CSR114+14 : TPTP v8.1.2. Released v4.0.0.
% 0.10/0.13 % Command : gkc %s
% 0.13/0.33 % Computer : n011.cluster.edu
% 0.13/0.33 % Model : x86_64 x86_64
% 0.13/0.33 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.33 % Memory : 8042.1875MB
% 0.13/0.33 % 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 08:18:40 EDT 2023
% 0.13/0.34 % CPUTime :
% 0.19/0.46
% 0.19/0.46 input clause set summed statistics:
% 0.19/0.46 ----------------------------------
% 0.19/0.46 in_clause_count: 10532
% 0.19/0.46 in_rule_clause_count: 337
% 0.19/0.46 in_fact_clause_count: 10195
% 0.19/0.46 in_answer_clause_count: 0
% 0.19/0.46 in_ground_clause_count: 10196
% 0.19/0.46 in_unit_clause_count: 10198
% 0.19/0.46 in_horn_clause_count: 10522
% 0.19/0.46 in_pos_clause_count: 10202
% 0.19/0.46 in_neg_clause_count: 11
% 0.19/0.46 in_poseq_clause_count: 0
% 0.19/0.46 in_negeq_clause_count: 0
% 0.19/0.46 in_unitposeq_clause_count: 0
% 0.19/0.46 in_chain_clause_count: 0
% 0.19/0.46 in_min_length: 1
% 0.19/0.46 in_max_length: 8
% 0.19/0.46 in_min_depth: 1
% 0.19/0.46 in_max_depth: 5
% 0.19/0.46 in_min_size: 3
% 0.19/0.46 in_max_size: 30
% 0.19/0.46 in_min_vars: 0
% 0.19/0.46 in_max_vars: 7
% 0.19/0.46 in_extaxiom_count: 10394
% 0.19/0.46 in_axiom_count: 0
% 0.19/0.46 in_assumption_count: 137
% 0.19/0.46 in_goal_count: 1
% 0.19/0.46 in_neg_goal_count: 1
% 0.19/0.46 in_pos_goal_count: 0
% 0.19/0.46 in_posunit_goal_count: 0
% 0.19/0.46
% 0.19/0.46 auto guide:
% 0.19/0.46 -----------
% 0.19/0.46 {
% 0.19/0.46 "print":1,
% 0.19/0.46 "print_level": 15,
% 0.19/0.46 "max_size": 0,
% 0.19/0.46 "max_depth": 0,
% 0.19/0.46 "max_length": 0,
% 0.19/0.46 "max_dseconds": 0,
% 0.19/0.46 "equality":0,
% 0.19/0.46 "runs":[
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.19/0.46 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.19/0.46 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.19/0.46 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.19/0.46 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.19/0.46 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.19/0.46 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.19/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.19/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.19/0.46 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.19/0.46
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.19/0.46 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.19/0.46 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.19/0.46 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.19/0.46 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.19/0.46 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.19/0.46 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.19/0.46 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.19/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.19/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.19/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.19/0.46 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.19/0.46
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.19/0.46 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.19/0.46 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.19/0.46 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.19/0.46 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.19/0.46 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.19/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.19/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.19/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.19/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.19/0.46 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.19/0.46
% 0.19/0.46 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.46 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.46 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.19/0.46
% 0.19/0.46 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.19/0.46 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.19/0.46
% 0.19/0.46 ]}
% 0.19/0.46
% 0.19/0.46
% 0.19/0.46 **** run 1 fork 0 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.19/0.46
% 0.19/0.46 **** run 2 fork 1 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.19/0.46
% 0.19/0.46 **** run 3 fork 2 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.19/0.46
% 0.19/0.46 **** run 4 fork 3 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.19/0.46
% 0.19/0.46 **** run 5 fork 4 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.19/0.46
% 0.19/0.46 **** run 7 fork 6 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.19/0.46
% 0.19/0.46 **** run 6 fork 5 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.19/0.46
% 0.19/0.46 **** run 8 fork 7 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.19/0.55
% 0.19/0.55
% 0.19/0.55 result: proof found
% 0.19/0.55 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.19/0.55 by run 7 fork 6 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.19/0.55 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.19/0.55
% 0.19/0.55 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.19/0.55 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))),
% 0.19/0.55 inference(negpush_and_skolemize,[],['$inc_state_adjective__in_state'])).
% 0.19/0.55 fof('$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))))),
% 0.19/0.55 input).
% 0.19/0.55 fof('$inc_fact_8886', axiom, state_adjective_state_binding(italienisch__1_1,italien_0),
% 0.19/0.55 input).
% 0.19/0.55 fof('ave07_era5_synth_qa07_004_mira_wp_320_$sk', plain, (varia(farbe_1_1,varia_c) & (refer(farbe_1_1,refer_c) & (quant(farbe_1_1,one) & (gener(farbe_1_1,ge) & (fact(farbe_1_1,real) & (etype(farbe_1_1,int0) & (card(farbe_1_1,int1) & (sort(farbe_1_1,s) & (sort(farbe_1_1,na) & (sort(national__1_1,nq) & (varia(c685,varia_c) & (refer(c685,refer_c) & (quant(c685,quant_c) & (gener(c685,gener_c) & (fact(c685,real) & (etype(c685,etype_c) & (card(c685,card_c) & (sort(c685,ent) & (sort(italienisch__1_1,nq) & (varia(nationalfarbe_1_1,varia_c) & (refer(nationalfarbe_1_1,refer_c) & (quant(nationalfarbe_1_1,one) & (gener(nationalfarbe_1_1,ge) & (fact(nationalfarbe_1_1,real) & (etype(nationalfarbe_1_1,int0) & (card(nationalfarbe_1_1,int1) & (sort(nationalfarbe_1_1,s) & (sort(nationalfarbe_1_1,na) & (varia(c643,con) & (refer(c643,det) & (quant(c643,mult) & (gener(c643,sp) & (fact(c643,real) & (etype(c643,int1) & (card(c643,cons(x_constant,cons(int1,nil))) & (sort(c643,s) & (sort(c643,na) & (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(c639,varia_c) & (refer(c639,indet) & (quant(c639,one) & (gener(c639,sp) & (fact(c639,real) & (etype(c639,int0) & (card(c639,int1) & (sort(c639,na) & (varia(c638,con) & (refer(c638,det) & (quant(c638,one) & (gener(c638,sp) & (fact(c638,real) & (etype(c638,int0) & (card(c638,int1) & (sort(c638,io) & (sort(c638,d) & (varia(kolosseum_1_1,con) & (refer(kolosseum_1_1,det) & (quant(kolosseum_1_1,one) & (gener(kolosseum_1_1,sp) & (fact(kolosseum_1_1,real) & (etype(kolosseum_1_1,int0) & (card(kolosseum_1_1,int1) & (sort(kolosseum_1_1,d) & (varia(c632,con) & (refer(c632,det) & (quant(c632,one) & (gener(c632,sp) & (fact(c632,real) & (etype(c632,int0) & (card(c632,int1) & (sort(c632,d) & (varia(zeich_nung_1_1,varia_c) & (refer(zeich_nung_1_1,refer_c) & (quant(zeich_nung_1_1,one) & (gener(zeich_nung_1_1,ge) & (fact(zeich_nung_1_1,real) & (etype(zeich_nung_1_1,int0) & (card(zeich_nung_1_1,int1) & (sort(zeich_nung_1_1,io) & (sort(zeich_nung_1_1,d) & (varia(c629,varia_c) & (refer(c629,indet) & (quant(c629,one) & (gener(c629,sp) & (fact(c629,real) & (etype(c629,int0) & (card(c629,int1) & (sort(c629,io) & (sort(c629,d) & (varia(logo_1_1,varia_c) & (refer(logo_1_1,refer_c) & (quant(logo_1_1,one) & (gener(logo_1_1,ge) & (fact(logo_1_1,real) & (etype(logo_1_1,int0) & (card(logo_1_1,int1) & (sort(logo_1_1,io) & (sort(logo_1_1,d) & (varia(c611,con) & (refer(c611,det) & (quant(c611,one) & (gener(c611,sp) & (fact(c611,real) & (etype(c611,int0) & (card(c611,int1) & (sort(c611,io) & (sort(c611,d) & (sub(nationalfarbe_1_1,farbe_1_1) & (assoc(nationalfarbe_1_1,national__1_1) & (tupl_p5(c685,c611,c629,c638,c643) & (prop(c643,italienisch__1_1) & (pred(c643,nationalfarbe_1_1) & (val(c639,rom_0) & (sub(c639,name_1_1) & (sub(c638,stadt__1_1) & (attr(c638,c639) & (sub(c632,kolosseum_1_1) & (attch(c632,c629) & (sub(c629,zeich_nung_1_1) & sub(c611,logo_1_1))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.19/0.55 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_004_mira_wp_320'])).
% 0.19/0.55 fof('ave07_era5_synth_qa07_004_mira_wp_320', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((sub(c611,logo_1_1) & sub(c629,zeich_nung_1_1)) & attch(c632,c629)) & sub(c632,kolosseum_1_1)) & attr(c638,c639)) & sub(c638,stadt__1_1)) & sub(c639,name_1_1)) & val(c639,rom_0)) & pred(c643,nationalfarbe_1_1)) & prop(c643,italienisch__1_1)) & tupl_p5(c685,c611,c629,c638,c643)) & assoc(nationalfarbe_1_1,national__1_1)) & sub(nationalfarbe_1_1,farbe_1_1)) & sort(c611,d)) & sort(c611,io)) & card(c611,int1)) & etype(c611,int0)) & fact(c611,real)) & gener(c611,sp)) & quant(c611,one)) & refer(c611,det)) & varia(c611,con)) & sort(logo_1_1,d)) & sort(logo_1_1,io)) & card(logo_1_1,int1)) & etype(logo_1_1,int0)) & fact(logo_1_1,real)) & gener(logo_1_1,ge)) & quant(logo_1_1,one)) & refer(logo_1_1,refer_c)) & varia(logo_1_1,varia_c)) & sort(c629,d)) & sort(c629,io)) & card(c629,int1)) & etype(c629,int0)) & fact(c629,real)) & gener(c629,sp)) & quant(c629,one)) & refer(c629,indet)) & varia(c629,varia_c)) & sort(zeich_nung_1_1,d)) & sort(zeich_nung_1_1,io)) & card(zeich_nung_1_1,int1)) & etype(zeich_nung_1_1,int0)) & fact(zeich_nung_1_1,real)) & gener(zeich_nung_1_1,ge)) & quant(zeich_nung_1_1,one)) & refer(zeich_nung_1_1,refer_c)) & varia(zeich_nung_1_1,varia_c)) & sort(c632,d)) & card(c632,int1)) & etype(c632,int0)) & fact(c632,real)) & gener(c632,sp)) & quant(c632,one)) & refer(c632,det)) & varia(c632,con)) & sort(kolosseum_1_1,d)) & card(kolosseum_1_1,int1)) & etype(kolosseum_1_1,int0)) & fact(kolosseum_1_1,real)) & gener(kolosseum_1_1,sp)) & quant(kolosseum_1_1,one)) & refer(kolosseum_1_1,det)) & varia(kolosseum_1_1,con)) & sort(c638,d)) & sort(c638,io)) & card(c638,int1)) & etype(c638,int0)) & fact(c638,real)) & gener(c638,sp)) & quant(c638,one)) & refer(c638,det)) & varia(c638,con)) & sort(c639,na)) & card(c639,int1)) & etype(c639,int0)) & fact(c639,real)) & gener(c639,sp)) & quant(c639,one)) & refer(c639,indet)) & varia(c639,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(c643,na)) & sort(c643,s)) & card(c643,cons(x_constant,cons(int1,nil)))) & etype(c643,int1)) & fact(c643,real)) & gener(c643,sp)) & quant(c643,mult)) & refer(c643,det)) & varia(c643,con)) & sort(nationalfarbe_1_1,na)) & sort(nationalfarbe_1_1,s)) & card(nationalfarbe_1_1,int1)) & etype(nationalfarbe_1_1,int0)) & fact(nationalfarbe_1_1,real)) & gener(nationalfarbe_1_1,ge)) & quant(nationalfarbe_1_1,one)) & refer(nationalfarbe_1_1,refer_c)) & varia(nationalfarbe_1_1,varia_c)) & sort(italienisch__1_1,nq)) & sort(c685,ent)) & card(c685,card_c)) & etype(c685,etype_c)) & fact(c685,real)) & gener(c685,gener_c)) & quant(c685,quant_c)) & refer(c685,refer_c)) & varia(c685,varia_c)) & sort(national__1_1,nq)) & sort(farbe_1_1,na)) & sort(farbe_1_1,s)) & card(farbe_1_1,int1)) & etype(farbe_1_1,int0)) & fact(farbe_1_1,real)) & gener(farbe_1_1,ge)) & quant(farbe_1_1,one)) & refer(farbe_1_1,refer_c)) & varia(farbe_1_1,varia_c)),
% 0.19/0.55 input).
% 0.19/0.55 fof('$inc_loc__stehen_1_1_loc_$sk', plain, ((subs($sk1(X1,X2),stehen_1_1) & (scar($sk1(X1,X2),X2) & loc($sk1(X1,X2),X1))) | ~loc(X2,X1)),
% 0.19/0.55 inference(negpush_and_skolemize,[],['$inc_loc__stehen_1_1_loc'])).
% 0.19/0.55 fof('$inc_loc__stehen_1_1_loc', axiom, (! [X0,X1] : (loc(X0,X1) => (? [X2] : ((loc(X2,X1) & scar(X2,X0)) & subs(X2,stehen_1_1))))),
% 0.19/0.55 input).
% 0.19/0.55 fof('synth_qa07_004_mira_wp_320_$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))))))),
% 0.19/0.55 inference(negpush_and_skolemize,[],['synth_qa07_004_mira_wp_320'])).
% 0.19/0.55 fof('synth_qa07_004_mira_wp_320', 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))),
% 0.19/0.55 input).
% 0.19/0.55 cnf('1', plain, (loc(X,$sk14(Y,X,Z)) | ~state_adjective_state_binding(Y,Z) | ~prop(X,Y)),
% 0.19/0.55 inference(cnf_transformation,[],['$inc_state_adjective__in_state_$sk'])).
% 0.19/0.55 cnf('2', plain, (state_adjective_state_binding(italienisch__1_1,italien_0)),
% 0.19/0.55 inference(cnf_transformation,[],['$inc_fact_8886'])).
% 0.19/0.55 cnf('3', plain, (loc(X,$sk14(italienisch__1_1,X,italien_0)) | ~prop(X,italienisch__1_1)),
% 0.19/0.55 inference(resolution,[],['1','2'])).
% 0.19/0.55 cnf('4', plain, (prop(c643,italienisch__1_1)),
% 0.19/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_004_mira_wp_320_$sk'])).
% 0.19/0.55 cnf('5', plain, (loc(c643,$sk14(italienisch__1_1,c643,italien_0))),
% 0.19/0.55 inference(resolution,[],['3','4'])).
% 0.19/0.55 cnf('6', plain, (scar($sk1(X,Y),Y) | ~loc(Y,X)),
% 0.19/0.55 inference(cnf_transformation,[],['$inc_loc__stehen_1_1_loc_$sk'])).
% 0.19/0.55 cnf('7', plain, (scar($sk1($sk14(italienisch__1_1,c643,italien_0),c643),c643)),
% 0.19/0.55 inference(resolution,[],['5','6'])).
% 0.19/0.55 cnf('8', plain, (attr(c638,c639)),
% 0.19/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_004_mira_wp_320_$sk'])).
% 0.19/0.55 cnf('9', plain, (~val(X,rom_0) | ~attr(Y,X) | ~scar(Z,U) | ~loc(Z,V) | ~subs(Z,stehen_1_1) | ~sub(Y,stadt__1_1) | ~sub(X,name_1_1)),
% 0.19/0.55 inference(cnf_transformation,[],['synth_qa07_004_mira_wp_320_$sk'])).
% 0.19/0.55 cnf('10', plain, (val(c639,rom_0)),
% 0.19/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_004_mira_wp_320_$sk'])).
% 0.19/0.55 cnf('11', plain, (sub(c638,stadt__1_1)),
% 0.19/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_004_mira_wp_320_$sk'])).
% 0.19/0.55 cnf('12', plain, (sub(c639,name_1_1)),
% 0.19/0.55 inference(cnf_transformation,[],['ave07_era5_synth_qa07_004_mira_wp_320_$sk'])).
% 0.19/0.55 cnf('13', plain, (~scar(X,Y) | ~loc(X,Z) | ~subs(X,stehen_1_1)),
% 0.19/0.55 inference(resolution,[then_simplify],['8','9','10','11','12'])).
% 0.19/0.55 cnf('14', plain, (subs($sk1(X,Y),stehen_1_1) | ~loc(Y,X)),
% 0.19/0.55 inference(cnf_transformation,[],['$inc_loc__stehen_1_1_loc_$sk'])).
% 0.19/0.55 cnf('15', plain, (subs($sk1($sk14(italienisch__1_1,c643,italien_0),c643),stehen_1_1)),
% 0.19/0.55 inference(resolution,[],['5','14'])).
% 0.19/0.55 cnf('16', plain, (loc($sk1(X,Y),X) | ~loc(Y,X)),
% 0.19/0.55 inference(cnf_transformation,[],['$inc_loc__stehen_1_1_loc_$sk'])).
% 0.19/0.55 cnf('17', plain, (loc($sk1($sk14(italienisch__1_1,c643,italien_0),c643),$sk14(italienisch__1_1,c643,italien_0))),
% 0.19/0.55 inference(resolution,[],['5','16'])).
% 0.19/0.55 cnf('18', plain, ($false),
% 0.19/0.55 inference(resolution,[then_simplify],['7','13','15','17'])).
% 0.19/0.55
% 0.19/0.55 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.19/0.55
% 0.19/0.55 run 7 fork 6 statistics:
% 0.19/0.55 ----------------------------------
% 0.19/0.55 this run seconds: 0.017703
% 0.19/0.55 total seconds: 0.055586
% 0.19/0.55 stat_given_used: 849
% 0.19/0.55 stat_given_used_at_endgame: 0
% 0.19/0.55 stat_given_candidates: 1019
% 0.19/0.55 stat_given_candidates_at_endgame: 0
% 0.19/0.55 stat_given_candidates_h: 0
% 0.19/0.55 stat_binres_derived_cl: 632
% 0.19/0.55 stat_binres_derived_cl_h: 0
% 0.19/0.55 stat_factor_derived_cl: 2
% 0.19/0.55 stat_para_derived_cl: 0
% 0.19/0.55 stat_tautologies_discarded: 2
% 0.19/0.55 stat_forward_subsumed: 46
% 0.19/0.55 stat_derived_cut: 5
% 0.19/0.55 stat_derived_rewritten: 0
% 0.19/0.55 stat_weight_discarded_building: 0
% 0.19/0.55 stat_weight_discarded_cl: 0
% 0.19/0.55 stat_internlimit_discarded_cl: 0
% 0.19/0.55 stat_simplified: 0 simplified 0 derived 0 given
% 0.19/0.55 stat_kept_cl: 585
% 0.19/0.55 stat_built_cl: 2283
% 0.19/0.55 stat_hyperres_partial_cl: 0
% 0.19/0.55 stat_made_rewriters: 0
% 0.19/0.55 stat_backward_subsumed: 0
% 0.19/0.55 stat_propagated_subsumed: 0
% 0.19/0.55 stat_clsubs_attempted: 1593
% 0.19/0.55 stat_clsubs_fact_groundunit_found: 169
% 0.19/0.55 stat_clsubs_rule_groundunit_found: 0
% 0.19/0.55 stat_clsubs_top_meta_attempted: 108603
% 0.19/0.55 stat_clsubs_top_meta_failed: 107010
% 0.19/0.55 stat_clsubs_top_meta_nonpref_attempted: 108603
% 0.19/0.55 stat_clsubs_top_meta_nonpref_succeeded: 55614
% 0.19/0.55 stat_clsubs_top_meta_pref_attempted: 55614
% 0.19/0.55 stat_clsubs_top_meta_pref1_succeeded: 3807
% 0.19/0.55 stat_clsubs_top_meta_pref2_succeeded: 1593
% 0.19/0.55 stat_clsubs_top_meta_pref3_succeeded: 1593
% 0.19/0.55 stat_clsubs_top_meta_pref_succeeded: 1593
% 0.19/0.55 stat_clsubs_meta_attempted: 2381
% 0.19/0.55 stat_clsubs_meta_failed: 960
% 0.19/0.55 stat_clsubs_predsymbs_attempted: 0
% 0.19/0.55 stat_clsubs_unit_attempted: 7
% 0.19/0.55 stat_clsubs_full_attempted: 1586
% 0.19/0.55 stat_forwardsubs_attempted: 632
% 0.19/0.55 stat_lit_hash_added: 1566
% 0.19/0.55 stat_lit_hash_computed: 6136
% 0.19/0.55 stat_lit_hash_match_found: 221
% 0.19/0.55 stat_lit_hash_match_miss: 6129
% 0.19/0.55 stat_lit_hash_cut_ok: 6
% 0.19/0.55 stat_lit_strong_cut_ok: 2
% 0.19/0.55 stat_lit_hash_subsume_ok: 46
% 0.19/0.55 clqueue els 10000000 used 1
% 0.19/0.55 clactive els 10000000 used 850
% 0.19/0.55 clactivesubsume els 10000000 used 2593
% 0.19/0.55 queue_termbuf els 200000000 used 19205
% 0.19/0.55 hyper_termbuf els 100000000 used 1
% 0.19/0.55 active_termbuf els 100000000 used 15057
% 0.19/0.55 varstack els 5000 last used 1
% 0.19/0.55 given_termbuf els 10000000 last used 1
% 0.19/0.55 simplified_termbuf els 10000000 last used 1
% 0.19/0.55 derived_termbuf els 10000000 last used 62
% 0.19/0.55 wr_mallocs: 7486
% 0.19/0.55 wr_callocs: 21
% 0.19/0.55 wr_reallocs: 204
% 0.19/0.55 wr_frees: 4
% 0.19/0.55 wr_malloc_bytes: 4162857124
% 0.19/0.55 wr_calloc_bytes: 112065536
% 0.19/0.55 wr_realloc_bytes: 684440
% 0.19/0.55 wr_realloc_freebytes: 0
% 0.19/0.55 ----------------------------------
%------------------------------------------------------------------------------