TSTP Solution File: CSR116+11 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR116+11 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n024.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 21:24:43 EDT 2023
% Result : Theorem 0.19s 0.59s
% Output : CNFRefutation 0.19s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12 % Problem : CSR116+11 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.13 % Command : gkc %s
% 0.12/0.34 % Computer : n024.cluster.edu
% 0.12/0.34 % Model : x86_64 x86_64
% 0.12/0.34 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.12/0.34 % Memory : 8042.1875MB
% 0.12/0.34 % OS : Linux 3.10.0-693.el7.x86_64
% 0.12/0.34 % CPULimit : 300
% 0.12/0.34 % WCLimit : 300
% 0.12/0.34 % DateTime : Mon Aug 28 12:55:23 EDT 2023
% 0.12/0.34 % 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: 10512
% 0.19/0.46 in_rule_clause_count: 336
% 0.19/0.46 in_fact_clause_count: 10176
% 0.19/0.46 in_answer_clause_count: 0
% 0.19/0.46 in_ground_clause_count: 10176
% 0.19/0.46 in_unit_clause_count: 10178
% 0.19/0.46 in_horn_clause_count: 10502
% 0.19/0.46 in_pos_clause_count: 10182
% 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: 13
% 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: 40
% 0.19/0.46 in_min_vars: 0
% 0.19/0.46 in_max_vars: 9
% 0.19/0.46 in_extaxiom_count: 10394
% 0.19/0.46 in_axiom_count: 0
% 0.19/0.46 in_assumption_count: 117
% 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 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 7 fork 6 starts with strategy
% 0.19/0.46 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.19/0.47
% 0.19/0.47 **** run 8 fork 7 starts with strategy
% 0.19/0.47 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.19/0.59
% 0.19/0.59
% 0.19/0.59 result: proof found
% 0.19/0.59 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.19/0.59 by run 5 fork 4 strategy {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.19/0.59 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.19/0.59
% 0.19/0.59 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.19/0.59 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)))),
% 0.19/0.59 inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.19/0.59 fof('$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))))),
% 0.19/0.59 input).
% 0.19/0.59 fof('$inc_sub__sub_0_expansion_$sk', plain, ((subr($sk6(X1,X2),sub_0) & (arg2($sk6(X1,X2),X2) & arg1($sk6(X1,X2),X1))) | ~sub(X1,X2)),
% 0.19/0.59 inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.19/0.59 fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.19/0.59 input).
% 0.19/0.59 fof('ave07_era5_synth_qa07_010_mira_news_1668_$sk', plain, (varia(land_1_1,varia_c) & (refer(land_1_1,refer_c) & (quant(land_1_1,one) & (gener(land_1_1,ge) & (fact(land_1_1,real) & (etype(land_1_1,int0) & (card(land_1_1,int1) & (sort(land_1_1,io) & (sort(land_1_1,d) & (varia(c98,con) & (refer(c98,det) & (quant(c98,one) & (gener(c98,sp) & (fact(c98,real) & (etype(c98,int0) & (card(c98,int1) & (sort(c98,io) & (sort(c98,d) & (varia(pr__344sident_1_1,varia_c) & (refer(pr__344sident_1_1,refer_c) & (quant(pr__344sident_1_1,one) & (gener(pr__344sident_1_1,ge) & (fact(pr__344sident_1_1,real) & (etype(pr__344sident_1_1,int0) & (card(pr__344sident_1_1,int1) & (sort(pr__344sident_1_1,d) & (card(erst_1_1,int1) & (sort(erst_1_1,oq) & (varia(c92,varia_c) & (refer(c92,refer_c) & (quant(c92,one) & (gener(c92,ge) & (fact(c92,real) & (etype(c92,int0) & (card(c92,int1) & (sort(c92,d) & (sort(schwarz_1_1,tq) & (gener(stellen_1_4,ge) & (fact(stellen_1_4,real) & (sort(stellen_1_4,da) & (varia(c90,con) & (refer(c90,det) & (quant(c90,one) & (gener(c90,sp) & (fact(c90,real) & (etype(c90,int0) & (card(c90,int1) & (sort(c90,d) & (gener(c9,sp) & (fact(c9,real) & (sort(c9,da) & (sort(mandela_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) & (sort(nelson_0,fe) & (varia(eigenname_1_1,varia_c) & (refer(eigenname_1_1,refer_c) & (quant(eigenname_1_1,one) & (gener(eigenname_1_1,ge) & (fact(eigenname_1_1,real) & (etype(eigenname_1_1,int0) & (card(eigenname_1_1,int1) & (sort(eigenname_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(c7,varia_c) & (refer(c7,indet) & (quant(c7,one) & (gener(c7,sp) & (fact(c7,real) & (etype(c7,int0) & (card(c7,int1) & (sort(c7,na) & (varia(c6,varia_c) & (refer(c6,indet) & (quant(c6,one) & (gener(c6,sp) & (fact(c6,real) & (etype(c6,int0) & (card(c6,int1) & (sort(c6,na) & (varia(c5,con) & (refer(c5,det) & (quant(c5,one) & (gener(c5,sp) & (fact(c5,real) & (etype(c5,int0) & (card(c5,int1) & (sort(c5,d) & (sub(c98,land_1_1) & (attch(c98,c90) & (pmod(c92,erst_1_1,pr__344sident_1_1) & (sub(c90,c92) & (prop(c90,schwarz_1_1) & (subs(c9,stellen_1_4) & (obj(c9,c90) & (assoc(c9,c5) & (agt(c9,c5) & (val(c7,mandela_0) & (sub(c7,familiename_1_1) & (val(c6,nelson_0) & (sub(c6,eigenname_1_1) & (sub(c5,mensch_1_1) & (attr(c5,c7) & attr(c5,c6))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.19/0.59 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_010_mira_news_1668'])).
% 0.19/0.59 fof('ave07_era5_synth_qa07_010_mira_news_1668', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((attr(c5,c6) & attr(c5,c7)) & sub(c5,mensch_1_1)) & sub(c6,eigenname_1_1)) & val(c6,nelson_0)) & sub(c7,familiename_1_1)) & val(c7,mandela_0)) & agt(c9,c5)) & assoc(c9,c5)) & obj(c9,c90)) & subs(c9,stellen_1_4)) & prop(c90,schwarz_1_1)) & sub(c90,c92)) & pmod(c92,erst_1_1,pr__344sident_1_1)) & attch(c98,c90)) & sub(c98,land_1_1)) & sort(c5,d)) & card(c5,int1)) & etype(c5,int0)) & fact(c5,real)) & gener(c5,sp)) & quant(c5,one)) & refer(c5,det)) & varia(c5,con)) & sort(c6,na)) & card(c6,int1)) & etype(c6,int0)) & fact(c6,real)) & gener(c6,sp)) & quant(c6,one)) & refer(c6,indet)) & varia(c6,varia_c)) & sort(c7,na)) & card(c7,int1)) & etype(c7,int0)) & fact(c7,real)) & gener(c7,sp)) & quant(c7,one)) & refer(c7,indet)) & varia(c7,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(eigenname_1_1,na)) & card(eigenname_1_1,int1)) & etype(eigenname_1_1,int0)) & fact(eigenname_1_1,real)) & gener(eigenname_1_1,ge)) & quant(eigenname_1_1,one)) & refer(eigenname_1_1,refer_c)) & varia(eigenname_1_1,varia_c)) & sort(nelson_0,fe)) & 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(mandela_0,fe)) & sort(c9,da)) & fact(c9,real)) & gener(c9,sp)) & sort(c90,d)) & card(c90,int1)) & etype(c90,int0)) & fact(c90,real)) & gener(c90,sp)) & quant(c90,one)) & refer(c90,det)) & varia(c90,con)) & sort(stellen_1_4,da)) & fact(stellen_1_4,real)) & gener(stellen_1_4,ge)) & sort(schwarz_1_1,tq)) & sort(c92,d)) & card(c92,int1)) & etype(c92,int0)) & fact(c92,real)) & gener(c92,ge)) & quant(c92,one)) & refer(c92,refer_c)) & varia(c92,varia_c)) & sort(erst_1_1,oq)) & card(erst_1_1,int1)) & sort(pr__344sident_1_1,d)) & card(pr__344sident_1_1,int1)) & etype(pr__344sident_1_1,int0)) & fact(pr__344sident_1_1,real)) & gener(pr__344sident_1_1,ge)) & quant(pr__344sident_1_1,one)) & refer(pr__344sident_1_1,refer_c)) & varia(pr__344sident_1_1,varia_c)) & sort(c98,d)) & sort(c98,io)) & card(c98,int1)) & etype(c98,int0)) & fact(c98,real)) & gener(c98,sp)) & quant(c98,one)) & refer(c98,det)) & varia(c98,con)) & sort(land_1_1,d)) & sort(land_1_1,io)) & card(land_1_1,int1)) & etype(land_1_1,int0)) & fact(land_1_1,real)) & gener(land_1_1,ge)) & quant(land_1_1,one)) & refer(land_1_1,refer_c)) & varia(land_1_1,varia_c)),
% 0.19/0.59 input).
% 0.19/0.59 fof('synth_qa07_010_mira_news_1668_$sk', plain, (~val(X9,nelson_0) | (~val(X1,mandela_0) | (~subr(X8,rprs_0) | (~sub(X2,X3) | (~sub(X9,eigenname_1_1) | (~sub(X1,familiename_1_1) | (~prop(X2,schwarz_1_1) | (~obj(X4,X5) | (~attr(X7,X6) | (~attr(X5,X9) | (~attr(X5,X1) | (~arg1(X8,X5) | ~pmod(X3,erst_1_1,pr__344sident_1_1))))))))))))),
% 0.19/0.59 inference(negpush_and_skolemize,[],['synth_qa07_010_mira_news_1668'])).
% 0.19/0.59 fof('synth_qa07_010_mira_news_1668', conjecture, (? [X0,X1,X2,X3,X4,X5,X6,X7,X8] : ((((((((((((pmod(X8,erst_1_1,pr__344sident_1_1) & arg1(X3,X0)) & attr(X0,X1)) & attr(X0,X2)) & attr(X5,X6)) & obj(X7,X0)) & prop(X4,schwarz_1_1)) & sub(X1,familiename_1_1)) & sub(X2,eigenname_1_1)) & sub(X4,X8)) & subr(X3,rprs_0)) & val(X1,mandela_0)) & val(X2,nelson_0))),
% 0.19/0.59 input).
% 0.19/0.59 cnf('1', plain, (subr($sk7(X,Y,Z),rprs_0) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.19/0.59 inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.19/0.59 cnf('2', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.19/0.59 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.19/0.59 cnf('3', plain, (sub(c5,mensch_1_1)),
% 0.19/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_010_mira_news_1668_$sk'])).
% 0.19/0.59 cnf('4', plain, (subr($sk6(c5,mensch_1_1),sub_0)),
% 0.19/0.59 inference(resolution,[],['2','3'])).
% 0.19/0.59 cnf('5', plain, (subr($sk7(X,$sk6(c5,mensch_1_1),Y),rprs_0) | ~arg1($sk6(c5,mensch_1_1),X) | ~arg2($sk6(c5,mensch_1_1),Y)),
% 0.19/0.59 inference(resolution,[],['1','4'])).
% 0.19/0.59 cnf('6', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.19/0.59 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.19/0.59 cnf('7', plain, (arg1($sk6(c5,mensch_1_1),c5)),
% 0.19/0.59 inference(resolution,[],['6','3'])).
% 0.19/0.59 cnf('8', plain, (subr($sk7(c5,$sk6(c5,mensch_1_1),X),rprs_0) | ~arg2($sk6(c5,mensch_1_1),X)),
% 0.19/0.59 inference(resolution,[],['5','7'])).
% 0.19/0.59 cnf('9', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.19/0.59 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.19/0.59 cnf('10', plain, (arg2($sk6(c5,mensch_1_1),mensch_1_1)),
% 0.19/0.59 inference(resolution,[],['9','3'])).
% 0.19/0.59 cnf('11', plain, (subr($sk7(c5,$sk6(c5,mensch_1_1),mensch_1_1),rprs_0)),
% 0.19/0.59 inference(resolution,[],['8','10'])).
% 0.19/0.59 cnf('12', plain, (pmod(c92,erst_1_1,pr__344sident_1_1)),
% 0.19/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_010_mira_news_1668_$sk'])).
% 0.19/0.59 cnf('13', plain, (~pmod(X,erst_1_1,pr__344sident_1_1) | ~val(Y,mandela_0) | ~val(Z,nelson_0) | ~prop(U,schwarz_1_1) | ~subr(V,rprs_0) | ~attr(W,X2006) | ~attr(X2007,Y) | ~attr(X2007,Z) | ~arg1(V,X2007) | ~obj(X2008,X2007) | ~sub(U,X) | ~sub(Y,familiename_1_1) | ~sub(Z,eigenname_1_1)),
% 0.19/0.59 inference(cnf_transformation,[],['synth_qa07_010_mira_news_1668_$sk'])).
% 0.19/0.59 cnf('14', plain, (~pmod(X,erst_1_1,pr__344sident_1_1) | ~val(Y,nelson_0) | ~val(Z,mandela_0) | ~prop(U,schwarz_1_1) | ~subr(V,rprs_0) | ~attr(W,Y) | ~attr(W,Z) | ~arg1(V,W) | ~obj(X2006,W) | ~sub(U,X) | ~sub(Y,eigenname_1_1) | ~sub(Z,familiename_1_1)),
% 0.19/0.59 inference(factorization,[],['13'])).
% 0.19/0.59 cnf('15', plain, (~val(X,mandela_0) | ~val(Y,nelson_0) | ~prop(Z,schwarz_1_1) | ~subr(U,rprs_0) | ~attr(V,X) | ~attr(V,Y) | ~arg1(U,V) | ~obj(W,V) | ~sub(Z,c92) | ~sub(X,familiename_1_1) | ~sub(Y,eigenname_1_1)),
% 0.19/0.59 inference(resolution,[],['12','14'])).
% 0.19/0.59 cnf('16', plain, (val(c7,mandela_0)),
% 0.19/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_010_mira_news_1668_$sk'])).
% 0.19/0.59 cnf('17', plain, (sub(c7,familiename_1_1)),
% 0.19/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_010_mira_news_1668_$sk'])).
% 0.19/0.59 cnf('18', plain, (~val(X,nelson_0) | ~prop(Y,schwarz_1_1) | ~subr(Z,rprs_0) | ~attr(U,c7) | ~attr(U,X) | ~arg1(Z,U) | ~obj(V,U) | ~sub(Y,c92) | ~sub(X,eigenname_1_1)),
% 0.19/0.59 inference(resolution,[then_simplify],['15','16','17'])).
% 0.19/0.59 cnf('19', plain, (val(c6,nelson_0)),
% 0.19/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_010_mira_news_1668_$sk'])).
% 0.19/0.59 cnf('20', plain, (sub(c6,eigenname_1_1)),
% 0.19/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_010_mira_news_1668_$sk'])).
% 0.19/0.59 cnf('21', plain, (~prop(X,schwarz_1_1) | ~subr(Y,rprs_0) | ~attr(Z,c6) | ~attr(Z,c7) | ~arg1(Y,Z) | ~obj(U,Z) | ~sub(X,c92)),
% 0.19/0.59 inference(resolution,[then_simplify],['18','19','20'])).
% 0.19/0.59 cnf('22', plain, (prop(c90,schwarz_1_1)),
% 0.19/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_010_mira_news_1668_$sk'])).
% 0.19/0.59 cnf('23', plain, (sub(c90,c92)),
% 0.19/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_010_mira_news_1668_$sk'])).
% 0.19/0.59 cnf('24', plain, (~subr(X,rprs_0) | ~attr(Y,c6) | ~attr(Y,c7) | ~arg1(X,Y) | ~obj(Z,Y)),
% 0.19/0.59 inference(resolution,[then_simplify],['21','22','23'])).
% 0.19/0.59 cnf('25', plain, (~arg1($sk7(c5,$sk6(c5,mensch_1_1),mensch_1_1),X) | ~attr(X,c6) | ~attr(X,c7) | ~obj(Y,X)),
% 0.19/0.59 inference(resolution,[],['11','24'])).
% 0.19/0.59 cnf('26', plain, (arg1($sk7(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.19/0.59 inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.19/0.59 cnf('27', plain, (arg1($sk7(X,$sk6(c5,mensch_1_1),Y),X) | ~arg1($sk6(c5,mensch_1_1),X) | ~arg2($sk6(c5,mensch_1_1),Y)),
% 0.19/0.59 inference(resolution,[],['26','4'])).
% 0.19/0.59 cnf('28', plain, (arg1($sk7(c5,$sk6(c5,mensch_1_1),X),c5) | ~arg2($sk6(c5,mensch_1_1),X)),
% 0.19/0.59 inference(resolution,[],['27','7'])).
% 0.19/0.59 cnf('29', plain, (arg1($sk7(c5,$sk6(c5,mensch_1_1),mensch_1_1),c5)),
% 0.19/0.59 inference(resolution,[],['28','10'])).
% 0.19/0.59 cnf('30', plain, (attr(c5,c6)),
% 0.19/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_010_mira_news_1668_$sk'])).
% 0.19/0.59 cnf('31', plain, (attr(c5,c7)),
% 0.19/0.59 inference(cnf_transformation,[],['ave07_era5_synth_qa07_010_mira_news_1668_$sk'])).
% 0.19/0.59 cnf('32', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.19/0.59 inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.19/0.59 cnf('33', plain, (obj($sk9(X,$sk6(c5,mensch_1_1),Y),X) | ~arg1($sk6(c5,mensch_1_1),X) | ~arg2($sk6(c5,mensch_1_1),Y)),
% 0.19/0.59 inference(resolution,[],['32','4'])).
% 0.19/0.59 cnf('34', plain, (obj($sk9(c5,$sk6(c5,mensch_1_1),X),c5) | ~arg2($sk6(c5,mensch_1_1),X)),
% 0.19/0.59 inference(resolution,[],['33','7'])).
% 0.19/0.59 cnf('35', plain, (obj($sk9(c5,$sk6(c5,mensch_1_1),mensch_1_1),c5)),
% 0.19/0.59 inference(resolution,[],['34','10'])).
% 0.19/0.59 cnf('36', plain, ($false),
% 0.19/0.59 inference(resolution,[then_simplify],['25','29','30','31','35'])).
% 0.19/0.59
% 0.19/0.59 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.19/0.59
% 0.19/0.59 run 5 fork 4 statistics:
% 0.19/0.59 ----------------------------------
% 0.19/0.59 this run seconds: 0.027781
% 0.19/0.59 total seconds: 0.069985
% 0.19/0.59 stat_given_used: 976
% 0.19/0.59 stat_given_used_at_endgame: 0
% 0.19/0.59 stat_given_candidates: 1225
% 0.19/0.59 stat_given_candidates_at_endgame: 0
% 0.19/0.59 stat_given_candidates_h: 0
% 0.19/0.59 stat_binres_derived_cl: 776
% 0.19/0.59 stat_binres_derived_cl_h: 0
% 0.19/0.59 stat_factor_derived_cl: 34
% 0.19/0.59 stat_para_derived_cl: 0
% 0.19/0.59 stat_tautologies_discarded: 3
% 0.19/0.59 stat_forward_subsumed: 0
% 0.19/0.59 stat_derived_cut: 9
% 0.19/0.59 stat_derived_rewritten: 0
% 0.19/0.59 stat_weight_discarded_building: 0
% 0.19/0.59 stat_weight_discarded_cl: 0
% 0.19/0.59 stat_internlimit_discarded_cl: 0
% 0.19/0.59 stat_simplified: 0 simplified 0 derived 0 given
% 0.19/0.59 stat_kept_cl: 806
% 0.19/0.59 stat_built_cl: 2758
% 0.19/0.59 stat_hyperres_partial_cl: 0
% 0.19/0.59 stat_made_rewriters: 0
% 0.19/0.59 stat_backward_subsumed: 0
% 0.19/0.59 stat_propagated_subsumed: 0
% 0.19/0.59 stat_clsubs_attempted: 1765
% 0.19/0.59 stat_clsubs_fact_groundunit_found: 169
% 0.19/0.59 stat_clsubs_rule_groundunit_found: 0
% 0.19/0.59 stat_clsubs_top_meta_attempted: 211791
% 0.19/0.59 stat_clsubs_top_meta_failed: 210026
% 0.19/0.59 stat_clsubs_top_meta_nonpref_attempted: 211791
% 0.19/0.59 stat_clsubs_top_meta_nonpref_succeeded: 64367
% 0.19/0.59 stat_clsubs_top_meta_pref_attempted: 64367
% 0.19/0.59 stat_clsubs_top_meta_pref1_succeeded: 3496
% 0.19/0.59 stat_clsubs_top_meta_pref2_succeeded: 2251
% 0.19/0.59 stat_clsubs_top_meta_pref3_succeeded: 1765
% 0.19/0.59 stat_clsubs_top_meta_pref_succeeded: 1765
% 0.19/0.59 stat_clsubs_meta_attempted: 5335
% 0.19/0.59 stat_clsubs_meta_failed: 3088
% 0.19/0.59 stat_clsubs_predsymbs_attempted: 0
% 0.19/0.59 stat_clsubs_unit_attempted: 42
% 0.19/0.59 stat_clsubs_full_attempted: 1723
% 0.19/0.59 stat_forwardsubs_attempted: 807
% 0.19/0.59 stat_lit_hash_added: 1354
% 0.19/0.59 stat_lit_hash_computed: 10058
% 0.19/0.59 stat_lit_hash_match_found: 176
% 0.19/0.59 stat_lit_hash_match_miss: 12609
% 0.19/0.59 stat_lit_hash_cut_ok: 7
% 0.19/0.59 stat_lit_strong_cut_ok: 5
% 0.19/0.59 stat_lit_hash_subsume_ok: 0
% 0.19/0.59 clqueue els 10000000 used 1
% 0.19/0.59 clactive els 10000000 used 977
% 0.19/0.59 clactivesubsume els 10000000 used 3265
% 0.19/0.59 queue_termbuf els 200000000 used 48724
% 0.19/0.59 hyper_termbuf els 100000000 used 1
% 0.19/0.59 active_termbuf els 100000000 used 28227
% 0.19/0.59 varstack els 5000 last used 1
% 0.19/0.59 given_termbuf els 10000000 last used 1
% 0.19/0.59 simplified_termbuf els 10000000 last used 1
% 0.19/0.59 derived_termbuf els 10000000 last used 42
% 0.19/0.59 wr_mallocs: 6350
% 0.19/0.59 wr_callocs: 21
% 0.19/0.59 wr_reallocs: 223
% 0.19/0.59 wr_frees: 4
% 0.19/0.59 wr_malloc_bytes: 4162819012
% 0.19/0.59 wr_calloc_bytes: 112065536
% 0.19/0.59 wr_realloc_bytes: 684160
% 0.19/0.59 wr_realloc_freebytes: 0
% 0.19/0.59 ----------------------------------
%------------------------------------------------------------------------------