TSTP Solution File: CSR115+2 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+2 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n022.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 21:24:26 EDT 2023
% Result : Theorem 0.92s 0.65s
% Output : CNFRefutation 0.92s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.07/0.13 % Problem : CSR115+2 : TPTP v8.1.2. Released v4.0.0.
% 0.07/0.13 % Command : gkc %s
% 0.13/0.35 % Computer : n022.cluster.edu
% 0.13/0.35 % Model : x86_64 x86_64
% 0.13/0.35 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.35 % Memory : 8042.1875MB
% 0.13/0.35 % OS : Linux 3.10.0-693.el7.x86_64
% 0.13/0.35 % CPULimit : 300
% 0.13/0.35 % WCLimit : 300
% 0.13/0.35 % DateTime : Mon Aug 28 13:45:09 EDT 2023
% 0.13/0.35 % CPUTime :
% 0.21/0.47
% 0.21/0.47 input clause set summed statistics:
% 0.21/0.47 ----------------------------------
% 0.21/0.47 in_clause_count: 10658
% 0.21/0.47 in_rule_clause_count: 336
% 0.21/0.47 in_fact_clause_count: 10322
% 0.21/0.47 in_answer_clause_count: 0
% 0.21/0.47 in_ground_clause_count: 10322
% 0.21/0.47 in_unit_clause_count: 10324
% 0.21/0.47 in_horn_clause_count: 10648
% 0.21/0.47 in_pos_clause_count: 10328
% 0.21/0.47 in_neg_clause_count: 11
% 0.21/0.47 in_poseq_clause_count: 0
% 0.21/0.47 in_negeq_clause_count: 0
% 0.21/0.47 in_unitposeq_clause_count: 0
% 0.21/0.47 in_chain_clause_count: 0
% 0.21/0.47 in_min_length: 1
% 0.21/0.47 in_max_length: 8
% 0.21/0.47 in_min_depth: 1
% 0.21/0.47 in_max_depth: 5
% 0.21/0.47 in_min_size: 3
% 0.21/0.47 in_max_size: 30
% 0.21/0.47 in_min_vars: 0
% 0.21/0.47 in_max_vars: 7
% 0.21/0.47 in_extaxiom_count: 10394
% 0.21/0.47 in_axiom_count: 0
% 0.21/0.47 in_assumption_count: 263
% 0.21/0.47 in_goal_count: 1
% 0.21/0.47 in_neg_goal_count: 1
% 0.21/0.47 in_pos_goal_count: 0
% 0.21/0.47 in_posunit_goal_count: 0
% 0.21/0.47
% 0.21/0.47 auto guide:
% 0.21/0.47 -----------
% 0.21/0.47 {
% 0.21/0.47 "print":1,
% 0.21/0.47 "print_level": 15,
% 0.21/0.47 "max_size": 0,
% 0.21/0.47 "max_depth": 0,
% 0.21/0.47 "max_length": 0,
% 0.21/0.47 "max_dseconds": 0,
% 0.21/0.47 "equality":0,
% 0.21/0.47 "runs":[
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.21/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.21/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.21/0.47
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.21/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.21/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.21/0.47 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.21/0.47
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.21/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.21/0.47 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.21/0.47
% 0.21/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.47 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.47 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.47
% 0.21/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.21/0.47
% 0.21/0.47 ]}
% 0.21/0.47
% 0.21/0.47
% 0.21/0.47 **** run 1 fork 0 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.21/0.47
% 0.21/0.47 **** run 2 fork 1 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.21/0.47
% 0.21/0.47 **** run 3 fork 2 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.21/0.47
% 0.21/0.47 **** run 4 fork 3 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.21/0.47
% 0.21/0.47 **** run 5 fork 4 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.21/0.47
% 0.21/0.47 **** run 6 fork 5 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.21/0.47
% 0.21/0.47 **** run 7 fork 6 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.21/0.48
% 0.21/0.48 **** run 8 fork 7 starts with strategy
% 0.21/0.48 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.21/0.61
% 0.21/0.61 fork 7: search finished without proof.
% 0.92/0.63
% 0.92/0.63 **** run 16 fork 7 starts with strategy
% 0.92/0.63 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.92/0.63
% 0.92/0.63 fork 0: search finished without proof.
% 0.92/0.65
% 0.92/0.65
% 0.92/0.65 result: proof found
% 0.92/0.65 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.92/0.65 by run 5 fork 4 strategy {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.92/0.65 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.92/0.65
% 0.92/0.65 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.92/0.65 fof('$inc_attr_name__abk__374rzung_stehen_1_b_f__374r_$sk', plain, ((subs($sk12(X1,X2,X3),stehen_1_b) & (scar($sk12(X1,X2,X3),X3) & (obj($sk12(X1,X2,X3),X3) & mcont($sk12(X1,X2,X3),X3)))) | (~sub(X1,X2) | (~member(X2,cons(eigenname_1_1,cons(familiename_1_1,cons(name_1_1,nil)))) | ~attr(X3,X1)))),
% 0.92/0.65 inference(negpush_and_skolemize,[],['$inc_attr_name__abk__374rzung_stehen_1_b_f__374r'])).
% 0.92/0.65 fof('$inc_attr_name__abk__374rzung_stehen_1_b_f__374r', axiom, (! [X0,X1,X2] : (((attr(X2,X0) & member(X1,cons(eigenname_1_1,cons(familiename_1_1,cons(name_1_1,nil))))) & sub(X0,X1)) => (? [X3] : (((mcont(X3,X2) & obj(X3,X2)) & scar(X3,X2)) & subs(X3,stehen_1_b))))),
% 0.92/0.65 input).
% 0.92/0.65 fof('$inc_member_second_$sk', plain, (member(X3,cons(X1,X2)) | ~member(X3,X2)),
% 0.92/0.65 inference(negpush_and_skolemize,[],['$inc_member_second'])).
% 0.92/0.65 fof('$inc_member_second', axiom, (! [X0,X1,X2] : (member(X0,X2) => member(X0,cons(X1,X2)))),
% 0.92/0.65 input).
% 0.92/0.65 fof('$inc_member_first_$sk', plain, member(X2,cons(X2,X1)),
% 0.92/0.65 inference(negpush_and_skolemize,[],['$inc_member_first'])).
% 0.92/0.65 fof('$inc_member_first', axiom, (! [X0,X1] : member(X0,cons(X0,X1))),
% 0.92/0.65 input).
% 0.92/0.65 fof('ave07_era5_synth_qa07_007_insicht_3_a19984_$sk', plain, (varia(karosse_1_1,varia_c) & (refer(karosse_1_1,refer_c) & (quant(karosse_1_1,one) & (gener(karosse_1_1,ge) & (fact(karosse_1_1,real) & (etype(karosse_1_1,int0) & (card(karosse_1_1,int1) & (sort(karosse_1_1,o) & (sort(roh_1_1,nq) & (varia(wagenbauer_1_1,varia_c) & (refer(wagenbauer_1_1,refer_c) & (quant(wagenbauer_1_1,one) & (gener(wagenbauer_1_1,ge) & (fact(wagenbauer_1_1,real) & (etype(wagenbauer_1_1,int0) & (card(wagenbauer_1_1,int1) & (sort(wagenbauer_1_1,d) & (sort(gro__337m__374tig_1_1,nq) & (varia(fabrikant_1_1,varia_c) & (refer(fabrikant_1_1,refer_c) & (quant(fabrikant_1_1,one) & (gener(fabrikant_1_1,ge) & (fact(fabrikant_1_1,real) & (etype(fabrikant_1_1,int0) & (card(fabrikant_1_1,int1) & (sort(fabrikant_1_1,io) & (sort(fabrikant_1_1,d) & (varia(masse_1_1,varia_c) & (refer(masse_1_1,refer_c) & (quant(masse_1_1,quant_c) & (gener(masse_1_1,ge) & (fact(masse_1_1,real) & (etype(masse_1_1,int1) & (card(masse_1_1,card_c) & (sort(masse_1_1,io) & (varia(nobelwagenbauer_1_1,varia_c) & (refer(nobelwagenbauer_1_1,refer_c) & (quant(nobelwagenbauer_1_1,one) & (gener(nobelwagenbauer_1_1,ge) & (fact(nobelwagenbauer_1_1,real) & (etype(nobelwagenbauer_1_1,int0) & (card(nobelwagenbauer_1_1,int1) & (sort(nobelwagenbauer_1_1,d) & (gener(nehmen_1_7,ge) & (fact(nehmen_1_7,real) & (sort(nehmen_1_7,da) & (gener(c792,sp) & (fact(c792,real) & (sort(c792,da) & (varia(rohkarosse_1_1,varia_c) & (refer(rohkarosse_1_1,refer_c) & (quant(rohkarosse_1_1,one) & (gener(rohkarosse_1_1,ge) & (fact(rohkarosse_1_1,real) & (etype(rohkarosse_1_1,int0) & (card(rohkarosse_1_1,int1) & (sort(rohkarosse_1_1,o) & (varia(c74,varia_c) & (refer(c74,indet) & (quant(c74,one) & (gener(c74,sp) & (fact(c74,real) & (etype(c74,int0) & (card(c74,int1) & (sort(c74,na) & (gener(liefern_1_1,ge) & (fact(liefern_1_1,real) & (sort(liefern_1_1,da) & (varia(c84,con) & (refer(c84,det) & (quant(c84,one) & (gener(c84,sp) & (fact(c84,real) & (etype(c84,int0) & (card(c84,int1) & (sort(c84,d) & (varia(c76,varia_c) & (refer(c76,indet) & (quant(c76,quant_c) & (gener(c76,sp) & (fact(c76,real) & (etype(c76,etype_c) & (card(c76,card_c) & (sort(c76,co) & (gener(dar__374berhinaus_1_1,gener_c) & (fact(dar__374berhinaus_1_1,real) & (sort(dar__374berhinaus_1_1,md) & (varia(c73,con) & (refer(c73,det) & (quant(c73,one) & (gener(c73,sp) & (fact(c73,real) & (etype(c73,int0) & (card(c73,int1) & (sort(c73,io) & (sort(c73,d) & (gener(c61,sp) & (fact(c61,real) & (sort(c61,da) & (gener(herstellen_1_1,ge) & (fact(herstellen_1_1,real) & (sort(herstellen_1_1,da) & (gener(c1215,sp) & (fact(c1215,real) & (sort(c1215,da) & (varia(massenhersteller_1_1,varia_c) & (refer(massenhersteller_1_1,refer_c) & (quant(massenhersteller_1_1,one) & (gener(massenhersteller_1_1,ge) & (fact(massenhersteller_1_1,real) & (etype(massenhersteller_1_1,int0) & (card(massenhersteller_1_1,int1) & (sort(massenhersteller_1_1,io) & (sort(massenhersteller_1_1,d) & (card(letzt_1_1,card_c) & (sort(letzt_1_1,oq) & (varia(c1212,varia_c) & (refer(c1212,refer_c) & (quant(c1212,one) & (gener(c1212,ge) & (fact(c1212,real) & (etype(c1212,int0) & (card(c1212,int1) & (sort(c1212,io) & (sort(c1212,d) & (sort(unabh__344ngig_1_1,nq) & (sort(britisch__1_1,nq) & (varia(c1210,con) & (refer(c1210,det) & (quant(c1210,one) & (gener(c1210,sp) & (fact(c1210,real) & (etype(c1210,int0) & (card(c1210,int1) & (sort(c1210,io) & (sort(rover_0,fe) & (varia(c1202,varia_c) & (refer(c1202,indet) & (quant(c1202,one) & (gener(c1202,sp) & (fact(c1202,real) & (etype(c1202,int0) & (card(c1202,int1) & (sort(c1202,na) & (varia(c1201,con) & (refer(c1201,det) & (quant(c1201,one) & (gener(c1201,sp) & (fact(c1201,real) & (etype(c1201,int0) & (card(c1201,int1) & (sort(c1201,io) & (sort(c1201,d) & (varia(sommer__1_1,varia_c) & (refer(sommer__1_1,refer_c) & (quant(sommer__1_1,one) & (gener(sommer__1_1,ge) & (fact(sommer__1_1,real) & (etype(sommer__1_1,int0) & (card(sommer__1_1,int1) & (sort(sommer__1_1,ta) & (sort(pass__351_1_1,tq) & (varia(c1173,con) & (refer(c1173,det) & (quant(c1173,one) & (gener(c1173,sp) & (fact(c1173,real) & (etype(c1173,int0) & (card(c1173,int1) & (sort(c1173,ta) & (sort(bmw_0,fe) & (varia(name_1_1,varia_c) & (refer(name_1_1,refer_c) & (quant(name_1_1,one) & (gener(name_1_1,ge) & (fact(name_1_1,real) & (etype(name_1_1,int0) & (card(name_1_1,int1) & (sort(name_1_1,na) & (varia(c1167,varia_c) & (refer(c1167,indet) & (quant(c1167,one) & (gener(c1167,sp) & (fact(c1167,real) & (etype(c1167,int0) & (card(c1167,int1) & (sort(c1167,na) & (varia(c1166,con) & (refer(c1166,det) & (quant(c1166,one) & (gener(c1166,sp) & (fact(c1166,real) & (etype(c1166,int0) & (card(c1166,int1) & (sort(c1166,io) & (sort(c1166,d) & (varia(firma_1_1,varia_c) & (refer(firma_1_1,refer_c) & (quant(firma_1_1,one) & (gener(firma_1_1,ge) & (fact(firma_1_1,real) & (etype(firma_1_1,int0) & (card(firma_1_1,int1) & (sort(firma_1_1,io) & (sort(firma_1_1,d) & (varia(auto__1_1,varia_c) & (refer(auto__1_1,refer_c) & (quant(auto__1_1,one) & (gener(auto__1_1,ge) & (fact(auto__1_1,real) & (etype(auto__1_1,int0) & (card(auto__1_1,int1) & (sort(auto__1_1,d) & (varia(autofirma_1_1,varia_c) & (refer(autofirma_1_1,refer_c) & (quant(autofirma_1_1,one) & (gener(autofirma_1_1,ge) & (fact(autofirma_1_1,real) & (etype(autofirma_1_1,int0) & (card(autofirma_1_1,int1) & (sort(autofirma_1_1,io) & (sort(autofirma_1_1,d) & (sub(rohkarosse_1_1,karosse_1_1) & (assoc(rohkarosse_1_1,roh_1_1) & (sub(nobelwagenbauer_1_1,wagenbauer_1_1) & (assoc(nobelwagenbauer_1_1,gro__337m__374tig_1_1) & (sub(massenhersteller_1_1,fabrikant_1_1) & (assoc(massenhersteller_1_1,masse_1_1) & (sub(c84,nobelwagenbauer_1_1) & (prop(c84,britisch__1_1) & (temp(c792,c1173) & (subs(c792,nehmen_1_7) & (obj(c792,c1210) & (benf(c792,c1166) & (agt(c792,c1201) & (pred(c76,rohkarosse_1_1) & (val(c74,rover_0) & (sub(c74,name_1_1) & (sub(c73,firma_1_1) & (attr(c73,c74) & (subs(c61,liefern_1_1) & (ornt(c61,c84) & (obj(c61,c76) & (modl(c61,dar__374berhinaus_1_1) & (agt(c61,c73) & (subs(c1215,herstellen_1_1) & (agt(c1215,c1210) & (pmod(c1212,letzt_1_1,massenhersteller_1_1) & (sub(c1210,c1212) & (prop(c1210,unabh__344ngig_1_1) & (prop(c1210,britisch__1_1) & (val(c1202,rover_0) & (sub(c1202,name_1_1) & (sub(c1201,autofirma_1_1) & (attr(c1201,c1202) & (sub(c1173,sommer__1_1) & (prop(c1173,pass__351_1_1) & (val(c1167,bmw_0) & (sub(c1167,name_1_1) & (sub(c1166,firma_1_1) & (attr(c1166,c1167) & (sub(autofirma_1_1,firma_1_1) & assoc(autofirma_1_1,auto__1_1))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.92/0.65 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_insicht_3_a19984'])).
% 0.92/0.65 fof('ave07_era5_synth_qa07_007_insicht_3_a19984', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((assoc(autofirma_1_1,auto__1_1) & sub(autofirma_1_1,firma_1_1)) & attr(c1166,c1167)) & sub(c1166,firma_1_1)) & sub(c1167,name_1_1)) & val(c1167,bmw_0)) & prop(c1173,pass__351_1_1)) & sub(c1173,sommer__1_1)) & attr(c1201,c1202)) & sub(c1201,autofirma_1_1)) & sub(c1202,name_1_1)) & val(c1202,rover_0)) & prop(c1210,britisch__1_1)) & prop(c1210,unabh__344ngig_1_1)) & sub(c1210,c1212)) & pmod(c1212,letzt_1_1,massenhersteller_1_1)) & agt(c1215,c1210)) & subs(c1215,herstellen_1_1)) & agt(c61,c73)) & modl(c61,dar__374berhinaus_1_1)) & obj(c61,c76)) & ornt(c61,c84)) & subs(c61,liefern_1_1)) & attr(c73,c74)) & sub(c73,firma_1_1)) & sub(c74,name_1_1)) & val(c74,rover_0)) & pred(c76,rohkarosse_1_1)) & agt(c792,c1201)) & benf(c792,c1166)) & obj(c792,c1210)) & subs(c792,nehmen_1_7)) & temp(c792,c1173)) & prop(c84,britisch__1_1)) & sub(c84,nobelwagenbauer_1_1)) & assoc(massenhersteller_1_1,masse_1_1)) & sub(massenhersteller_1_1,fabrikant_1_1)) & assoc(nobelwagenbauer_1_1,gro__337m__374tig_1_1)) & sub(nobelwagenbauer_1_1,wagenbauer_1_1)) & assoc(rohkarosse_1_1,roh_1_1)) & sub(rohkarosse_1_1,karosse_1_1)) & sort(autofirma_1_1,d)) & sort(autofirma_1_1,io)) & card(autofirma_1_1,int1)) & etype(autofirma_1_1,int0)) & fact(autofirma_1_1,real)) & gener(autofirma_1_1,ge)) & quant(autofirma_1_1,one)) & refer(autofirma_1_1,refer_c)) & varia(autofirma_1_1,varia_c)) & sort(auto__1_1,d)) & card(auto__1_1,int1)) & etype(auto__1_1,int0)) & fact(auto__1_1,real)) & gener(auto__1_1,ge)) & quant(auto__1_1,one)) & refer(auto__1_1,refer_c)) & varia(auto__1_1,varia_c)) & sort(firma_1_1,d)) & sort(firma_1_1,io)) & card(firma_1_1,int1)) & etype(firma_1_1,int0)) & fact(firma_1_1,real)) & gener(firma_1_1,ge)) & quant(firma_1_1,one)) & refer(firma_1_1,refer_c)) & varia(firma_1_1,varia_c)) & sort(c1166,d)) & sort(c1166,io)) & card(c1166,int1)) & etype(c1166,int0)) & fact(c1166,real)) & gener(c1166,sp)) & quant(c1166,one)) & refer(c1166,det)) & varia(c1166,con)) & sort(c1167,na)) & card(c1167,int1)) & etype(c1167,int0)) & fact(c1167,real)) & gener(c1167,sp)) & quant(c1167,one)) & refer(c1167,indet)) & varia(c1167,varia_c)) & sort(name_1_1,na)) & card(name_1_1,int1)) & etype(name_1_1,int0)) & fact(name_1_1,real)) & gener(name_1_1,ge)) & quant(name_1_1,one)) & refer(name_1_1,refer_c)) & varia(name_1_1,varia_c)) & sort(bmw_0,fe)) & sort(c1173,ta)) & card(c1173,int1)) & etype(c1173,int0)) & fact(c1173,real)) & gener(c1173,sp)) & quant(c1173,one)) & refer(c1173,det)) & varia(c1173,con)) & sort(pass__351_1_1,tq)) & sort(sommer__1_1,ta)) & card(sommer__1_1,int1)) & etype(sommer__1_1,int0)) & fact(sommer__1_1,real)) & gener(sommer__1_1,ge)) & quant(sommer__1_1,one)) & refer(sommer__1_1,refer_c)) & varia(sommer__1_1,varia_c)) & sort(c1201,d)) & sort(c1201,io)) & card(c1201,int1)) & etype(c1201,int0)) & fact(c1201,real)) & gener(c1201,sp)) & quant(c1201,one)) & refer(c1201,det)) & varia(c1201,con)) & sort(c1202,na)) & card(c1202,int1)) & etype(c1202,int0)) & fact(c1202,real)) & gener(c1202,sp)) & quant(c1202,one)) & refer(c1202,indet)) & varia(c1202,varia_c)) & sort(rover_0,fe)) & sort(c1210,io)) & card(c1210,int1)) & etype(c1210,int0)) & fact(c1210,real)) & gener(c1210,sp)) & quant(c1210,one)) & refer(c1210,det)) & varia(c1210,con)) & sort(britisch__1_1,nq)) & sort(unabh__344ngig_1_1,nq)) & sort(c1212,d)) & sort(c1212,io)) & card(c1212,int1)) & etype(c1212,int0)) & fact(c1212,real)) & gener(c1212,ge)) & quant(c1212,one)) & refer(c1212,refer_c)) & varia(c1212,varia_c)) & sort(letzt_1_1,oq)) & card(letzt_1_1,card_c)) & sort(massenhersteller_1_1,d)) & sort(massenhersteller_1_1,io)) & card(massenhersteller_1_1,int1)) & etype(massenhersteller_1_1,int0)) & fact(massenhersteller_1_1,real)) & gener(massenhersteller_1_1,ge)) & quant(massenhersteller_1_1,one)) & refer(massenhersteller_1_1,refer_c)) & varia(massenhersteller_1_1,varia_c)) & sort(c1215,da)) & fact(c1215,real)) & gener(c1215,sp)) & sort(herstellen_1_1,da)) & fact(herstellen_1_1,real)) & gener(herstellen_1_1,ge)) & sort(c61,da)) & fact(c61,real)) & gener(c61,sp)) & sort(c73,d)) & sort(c73,io)) & card(c73,int1)) & etype(c73,int0)) & fact(c73,real)) & gener(c73,sp)) & quant(c73,one)) & refer(c73,det)) & varia(c73,con)) & sort(dar__374berhinaus_1_1,md)) & fact(dar__374berhinaus_1_1,real)) & gener(dar__374berhinaus_1_1,gener_c)) & sort(c76,co)) & card(c76,card_c)) & etype(c76,etype_c)) & fact(c76,real)) & gener(c76,sp)) & quant(c76,quant_c)) & refer(c76,indet)) & varia(c76,varia_c)) & sort(c84,d)) & card(c84,int1)) & etype(c84,int0)) & fact(c84,real)) & gener(c84,sp)) & quant(c84,one)) & refer(c84,det)) & varia(c84,con)) & sort(liefern_1_1,da)) & fact(liefern_1_1,real)) & gener(liefern_1_1,ge)) & sort(c74,na)) & card(c74,int1)) & etype(c74,int0)) & fact(c74,real)) & gener(c74,sp)) & quant(c74,one)) & refer(c74,indet)) & varia(c74,varia_c)) & sort(rohkarosse_1_1,o)) & card(rohkarosse_1_1,int1)) & etype(rohkarosse_1_1,int0)) & fact(rohkarosse_1_1,real)) & gener(rohkarosse_1_1,ge)) & quant(rohkarosse_1_1,one)) & refer(rohkarosse_1_1,refer_c)) & varia(rohkarosse_1_1,varia_c)) & sort(c792,da)) & fact(c792,real)) & gener(c792,sp)) & sort(nehmen_1_7,da)) & fact(nehmen_1_7,real)) & gener(nehmen_1_7,ge)) & sort(nobelwagenbauer_1_1,d)) & card(nobelwagenbauer_1_1,int1)) & etype(nobelwagenbauer_1_1,int0)) & fact(nobelwagenbauer_1_1,real)) & gener(nobelwagenbauer_1_1,ge)) & quant(nobelwagenbauer_1_1,one)) & refer(nobelwagenbauer_1_1,refer_c)) & varia(nobelwagenbauer_1_1,varia_c)) & sort(masse_1_1,io)) & card(masse_1_1,card_c)) & etype(masse_1_1,int1)) & fact(masse_1_1,real)) & gener(masse_1_1,ge)) & quant(masse_1_1,quant_c)) & refer(masse_1_1,refer_c)) & varia(masse_1_1,varia_c)) & sort(fabrikant_1_1,d)) & sort(fabrikant_1_1,io)) & card(fabrikant_1_1,int1)) & etype(fabrikant_1_1,int0)) & fact(fabrikant_1_1,real)) & gener(fabrikant_1_1,ge)) & quant(fabrikant_1_1,one)) & refer(fabrikant_1_1,refer_c)) & varia(fabrikant_1_1,varia_c)) & sort(gro__337m__374tig_1_1,nq)) & sort(wagenbauer_1_1,d)) & card(wagenbauer_1_1,int1)) & etype(wagenbauer_1_1,int0)) & fact(wagenbauer_1_1,real)) & gener(wagenbauer_1_1,ge)) & quant(wagenbauer_1_1,one)) & refer(wagenbauer_1_1,refer_c)) & varia(wagenbauer_1_1,varia_c)) & sort(roh_1_1,nq)) & sort(karosse_1_1,o)) & card(karosse_1_1,int1)) & etype(karosse_1_1,int0)) & fact(karosse_1_1,real)) & gener(karosse_1_1,ge)) & quant(karosse_1_1,one)) & refer(karosse_1_1,refer_c)) & varia(karosse_1_1,varia_c)),
% 0.92/0.65 input).
% 0.92/0.65 fof('synth_qa07_007_insicht_3_a19984_$sk', plain, (~val(X6,bmw_0) | (~sub(X6,name_1_1) | (~sub(X5,firma_1_1) | (~obj(X1,X5) | (~attr(X4,X3) | ~attr(X2,X6)))))),
% 0.92/0.65 inference(negpush_and_skolemize,[],['synth_qa07_007_insicht_3_a19984'])).
% 0.92/0.65 fof('synth_qa07_007_insicht_3_a19984', conjecture, (? [X0,X1,X2,X3,X4,X5] : (((((attr(X2,X1) & attr(X4,X5)) & obj(X3,X0)) & sub(X0,firma_1_1)) & sub(X1,name_1_1)) & val(X1,bmw_0))),
% 0.92/0.65 input).
% 0.92/0.65 cnf('1', plain, (~member(X,cons(eigenname_1_1,cons(familiename_1_1,cons(name_1_1,nil)))) | obj($sk12(Y,X,Z),Z) | ~attr(Z,Y) | ~sub(Y,X)),
% 0.92/0.65 inference(cnf_transformation,[],['$inc_attr_name__abk__374rzung_stehen_1_b_f__374r_$sk'])).
% 0.92/0.65 cnf('2', plain, (member(X,cons(Y,Z)) | ~member(X,Z)),
% 0.92/0.65 inference(cnf_transformation,[],['$inc_member_second_$sk'])).
% 0.92/0.65 cnf('3', plain, (member(X,cons(X,Y))),
% 0.92/0.65 inference(cnf_transformation,[],['$inc_member_first_$sk'])).
% 0.92/0.65 cnf('4', plain, (member(X,cons(Y,cons(X,Z)))),
% 0.92/0.65 inference(resolution,[],['2','3'])).
% 0.92/0.65 cnf('5', plain, (member(X,cons(Y,cons(Z,cons(X,U))))),
% 0.92/0.65 inference(resolution,[],['4','2'])).
% 0.92/0.65 cnf('6', plain, (obj($sk12(X,name_1_1,Y),Y) | ~attr(Y,X) | ~sub(X,name_1_1)),
% 0.92/0.65 inference(resolution,[],['1','5'])).
% 0.92/0.65 cnf('7', plain, (sub(c74,name_1_1)),
% 0.92/0.65 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_insicht_3_a19984_$sk'])).
% 0.92/0.65 cnf('8', plain, (obj($sk12(c74,name_1_1,X),X) | ~attr(X,c74)),
% 0.92/0.65 inference(resolution,[],['6','7'])).
% 0.92/0.65 cnf('9', plain, (attr(c73,c74)),
% 0.92/0.65 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_insicht_3_a19984_$sk'])).
% 0.92/0.65 cnf('10', plain, (sub(c73,firma_1_1)),
% 0.92/0.65 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_insicht_3_a19984_$sk'])).
% 0.92/0.65 cnf('11', plain, (val(c1167,bmw_0)),
% 0.92/0.65 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_insicht_3_a19984_$sk'])).
% 0.92/0.65 cnf('12', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,U) | ~obj(V,W) | ~sub(W,firma_1_1) | ~sub(X,name_1_1)),
% 0.92/0.65 inference(cnf_transformation,[],['synth_qa07_007_insicht_3_a19984_$sk'])).
% 0.92/0.65 cnf('13', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~obj(Z,U) | ~sub(U,firma_1_1) | ~sub(X,name_1_1)),
% 0.92/0.65 inference(factorization,[],['12'])).
% 0.92/0.65 cnf('14', plain, (sub(c1167,name_1_1)),
% 0.92/0.65 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_insicht_3_a19984_$sk'])).
% 0.92/0.65 cnf('15', plain, (~attr(X,c1167) | ~obj(Y,Z) | ~sub(Z,firma_1_1)),
% 0.92/0.65 inference(resolution,[then_simplify],['11','13','14'])).
% 0.92/0.65 cnf('16', plain, (attr(c1166,c1167)),
% 0.92/0.65 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_insicht_3_a19984_$sk'])).
% 0.92/0.65 cnf('17', plain, (~obj(X,Y) | ~sub(Y,firma_1_1)),
% 0.92/0.65 inference(resolution,[],['15','16'])).
% 0.92/0.65 cnf('18', plain, (~obj(X3,c73)),
% 0.92/0.65 inference(resolution,[],['10','17'])).
% 0.92/0.65 cnf('19', plain, ($false),
% 0.92/0.65 inference(resolution,[then_simplify],['8','9','18'])).
% 0.92/0.65
% 0.92/0.65 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.92/0.65
% 0.92/0.65 run 5 fork 4 statistics:
% 0.92/0.65 ----------------------------------
% 0.92/0.65 this run seconds: 0.046374
% 0.92/0.65 total seconds: 0.087311
% 0.92/0.65 stat_given_used: 1816
% 0.92/0.65 stat_given_used_at_endgame: 0
% 0.92/0.65 stat_given_candidates: 2195
% 0.92/0.65 stat_given_candidates_at_endgame: 0
% 0.92/0.65 stat_given_candidates_h: 0
% 0.92/0.65 stat_binres_derived_cl: 1687
% 0.92/0.65 stat_binres_derived_cl_h: 0
% 0.92/0.65 stat_factor_derived_cl: 11
% 0.92/0.65 stat_para_derived_cl: 0
% 0.92/0.65 stat_tautologies_discarded: 3
% 0.92/0.65 stat_forward_subsumed: 6
% 0.92/0.65 stat_derived_cut: 5
% 0.92/0.65 stat_derived_rewritten: 0
% 0.92/0.65 stat_weight_discarded_building: 0
% 0.92/0.65 stat_weight_discarded_cl: 0
% 0.92/0.65 stat_internlimit_discarded_cl: 0
% 0.92/0.65 stat_simplified: 0 simplified 0 derived 0 given
% 0.92/0.65 stat_kept_cl: 1688
% 0.92/0.65 stat_built_cl: 5320
% 0.92/0.65 stat_hyperres_partial_cl: 0
% 0.92/0.65 stat_made_rewriters: 0
% 0.92/0.65 stat_backward_subsumed: 0
% 0.92/0.65 stat_propagated_subsumed: 0
% 0.92/0.65 stat_clsubs_attempted: 4491
% 0.92/0.65 stat_clsubs_fact_groundunit_found: 278
% 0.92/0.65 stat_clsubs_rule_groundunit_found: 0
% 0.92/0.65 stat_clsubs_top_meta_attempted: 589396
% 0.92/0.65 stat_clsubs_top_meta_failed: 584905
% 0.92/0.65 stat_clsubs_top_meta_nonpref_attempted: 589396
% 0.92/0.65 stat_clsubs_top_meta_nonpref_succeeded: 150994
% 0.92/0.65 stat_clsubs_top_meta_pref_attempted: 150994
% 0.92/0.65 stat_clsubs_top_meta_pref1_succeeded: 10196
% 0.92/0.65 stat_clsubs_top_meta_pref2_succeeded: 5837
% 0.92/0.65 stat_clsubs_top_meta_pref3_succeeded: 4491
% 0.92/0.65 stat_clsubs_top_meta_pref_succeeded: 4491
% 0.92/0.65 stat_clsubs_meta_attempted: 9379
% 0.92/0.65 stat_clsubs_meta_failed: 5973
% 0.92/0.65 stat_clsubs_predsymbs_attempted: 0
% 0.92/0.65 stat_clsubs_unit_attempted: 941
% 0.92/0.65 stat_clsubs_full_attempted: 3550
% 0.92/0.65 stat_forwardsubs_attempted: 1695
% 0.92/0.65 stat_lit_hash_added: 2971
% 0.92/0.65 stat_lit_hash_computed: 16218
% 0.92/0.65 stat_lit_hash_match_found: 288
% 0.92/0.65 stat_lit_hash_match_miss: 19044
% 0.92/0.65 stat_lit_hash_cut_ok: 4
% 0.92/0.65 stat_lit_strong_cut_ok: 1
% 0.92/0.65 stat_lit_hash_subsume_ok: 6
% 0.92/0.65 clqueue els 10000000 used 1
% 0.92/0.65 clactive els 10000000 used 1817
% 0.92/0.65 clactivesubsume els 10000000 used 5209
% 0.92/0.65 queue_termbuf els 200000000 used 87520
% 0.92/0.65 hyper_termbuf els 100000000 used 1
% 0.92/0.65 active_termbuf els 100000000 used 46985
% 0.92/0.65 varstack els 5000 last used 1
% 0.92/0.65 given_termbuf els 10000000 last used 1
% 0.92/0.65 simplified_termbuf els 10000000 last used 1
% 0.92/0.65 derived_termbuf els 10000000 last used 30
% 0.92/0.65 wr_mallocs: 12953
% 0.92/0.65 wr_callocs: 21
% 0.92/0.65 wr_reallocs: 401
% 0.92/0.65 wr_frees: 4
% 0.92/0.65 wr_malloc_bytes: 4163051940
% 0.92/0.65 wr_calloc_bytes: 112065536
% 0.92/0.65 wr_realloc_bytes: 724432
% 0.92/0.65 wr_realloc_freebytes: 0
% 0.92/0.65 ----------------------------------
%------------------------------------------------------------------------------