TSTP Solution File: CSR115+11 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+11 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n032.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 21:24:21 EDT 2023
% Result : Theorem 0.15s 0.78s
% Output : CNFRefutation 0.15s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.10 % Problem : CSR115+11 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.11 % Command : gkc %s
% 0.11/0.30 % Computer : n032.cluster.edu
% 0.11/0.30 % Model : x86_64 x86_64
% 0.11/0.30 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.11/0.30 % Memory : 8042.1875MB
% 0.11/0.30 % OS : Linux 3.10.0-693.el7.x86_64
% 0.11/0.30 % CPULimit : 300
% 0.11/0.30 % WCLimit : 300
% 0.11/0.30 % DateTime : Mon Aug 28 09:31:45 EDT 2023
% 0.11/0.30 % CPUTime :
% 0.15/0.41
% 0.15/0.41 input clause set summed statistics:
% 0.15/0.41 ----------------------------------
% 0.15/0.41 in_clause_count: 10670
% 0.15/0.41 in_rule_clause_count: 337
% 0.15/0.41 in_fact_clause_count: 10333
% 0.15/0.41 in_answer_clause_count: 0
% 0.15/0.41 in_ground_clause_count: 10334
% 0.15/0.41 in_unit_clause_count: 10336
% 0.15/0.41 in_horn_clause_count: 10660
% 0.15/0.41 in_pos_clause_count: 10340
% 0.15/0.41 in_neg_clause_count: 11
% 0.15/0.41 in_poseq_clause_count: 0
% 0.15/0.41 in_negeq_clause_count: 0
% 0.15/0.41 in_unitposeq_clause_count: 0
% 0.15/0.41 in_chain_clause_count: 0
% 0.15/0.41 in_min_length: 1
% 0.15/0.41 in_max_length: 12
% 0.15/0.41 in_min_depth: 1
% 0.15/0.41 in_max_depth: 5
% 0.15/0.41 in_min_size: 3
% 0.15/0.41 in_max_size: 36
% 0.15/0.41 in_min_vars: 0
% 0.15/0.41 in_max_vars: 8
% 0.15/0.41 in_extaxiom_count: 10394
% 0.15/0.41 in_axiom_count: 0
% 0.15/0.41 in_assumption_count: 275
% 0.15/0.41 in_goal_count: 1
% 0.15/0.41 in_neg_goal_count: 1
% 0.15/0.41 in_pos_goal_count: 0
% 0.15/0.41 in_posunit_goal_count: 0
% 0.15/0.41
% 0.15/0.41 auto guide:
% 0.15/0.41 -----------
% 0.15/0.41 {
% 0.15/0.41 "print":1,
% 0.15/0.41 "print_level": 15,
% 0.15/0.41 "max_size": 0,
% 0.15/0.41 "max_depth": 0,
% 0.15/0.41 "max_length": 0,
% 0.15/0.41 "max_dseconds": 0,
% 0.15/0.41 "equality":0,
% 0.15/0.41 "runs":[
% 0.15/0.41 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.15/0.41 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.15/0.41 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.15/0.41 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.15/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.15/0.41 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.15/0.41 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.15/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.15/0.41 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.15/0.41 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.15/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.15/0.41 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.15/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.15/0.41 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.15/0.41 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.15/0.41 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.15/0.41 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.15/0.41 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.15/0.41 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.15/0.41 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.15/0.41 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.15/0.41 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.15/0.41 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.15/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.15/0.41 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.15/0.41 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.15/0.41 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.15/0.41
% 0.15/0.41 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.15/0.41 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.15/0.41 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.15/0.41 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.15/0.41 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.15/0.41 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.15/0.41 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.15/0.41 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.15/0.41 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.15/0.41 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.15/0.41 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.15/0.41 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.15/0.41 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.15/0.41 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.15/0.41 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.15/0.41 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.15/0.41 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.15/0.41 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.15/0.41 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.15/0.41 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.15/0.41 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.15/0.41 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.15/0.41 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.15/0.41 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.15/0.41 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.15/0.41 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.15/0.41 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.15/0.41
% 0.15/0.41 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.15/0.41 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.15/0.41 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.15/0.41 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.15/0.41 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.15/0.41 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.15/0.41 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.15/0.41 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.15/0.41 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.15/0.41 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.15/0.41 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.15/0.41 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.15/0.41 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.15/0.41 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.15/0.41 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.15/0.41 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.15/0.41 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.15/0.41 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.15/0.41 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.15/0.41 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.15/0.41 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.15/0.41 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.15/0.41 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.15/0.41 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.15/0.41 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.15/0.41
% 0.15/0.41 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.15/0.41 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.15/0.41 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.15/0.41 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.15/0.41 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.15/0.41
% 0.15/0.41 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.15/0.41 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.15/0.41 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.15/0.41 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.15/0.41 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.15/0.41 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.15/0.41
% 0.15/0.41 ]}
% 0.15/0.41
% 0.15/0.41
% 0.15/0.41 **** run 1 fork 0 starts with strategy
% 0.15/0.41 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.15/0.41
% 0.15/0.41 **** run 2 fork 1 starts with strategy
% 0.15/0.41 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.15/0.41
% 0.15/0.41 **** run 3 fork 2 starts with strategy
% 0.15/0.41 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.15/0.41
% 0.15/0.41 **** run 4 fork 3 starts with strategy
% 0.15/0.41 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.15/0.41
% 0.15/0.41 **** run 5 fork 4 starts with strategy
% 0.15/0.41 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.15/0.41
% 0.15/0.41 **** run 6 fork 5 starts with strategy
% 0.15/0.41 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.15/0.41
% 0.15/0.41 **** run 7 fork 6 starts with strategy
% 0.15/0.41 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.15/0.43
% 0.15/0.43 **** run 8 fork 7 starts with strategy
% 0.15/0.43 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.15/0.54
% 0.15/0.54
% 0.15/0.54 fork 6: search terminated without proof.
% 0.15/0.55
% 0.15/0.55 fork 0: search finished without proof.
% 0.15/0.56
% 0.15/0.56 fork 7: search finished without proof.
% 0.15/0.56
% 0.15/0.56 fork 3: search finished without proof.
% 0.15/0.57
% 0.15/0.57 **** run 15 fork 6 starts with strategy
% 0.15/0.57 {"max_dseconds":1,"strategy":["query_focus","max_ground_weight"],"query_preference":1}
% 0.15/0.57
% 0.15/0.57
% 0.15/0.57 fork 5: search terminated without proof.
% 0.15/0.58
% 0.15/0.58 **** run 16 fork 7 starts with strategy
% 0.15/0.58 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.15/0.59
% 0.15/0.59 **** run 9 fork 0 starts with strategy
% 0.15/0.59 {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":0,"sine":5}
% 0.15/0.60
% 0.15/0.60 **** run 12 fork 3 starts with strategy
% 0.15/0.60 {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":0}
% 0.15/0.61
% 0.15/0.61 **** run 14 fork 5 starts with strategy
% 0.15/0.61 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1}
% 0.15/0.65
% 0.15/0.65 fork 0: search finished without proof.
% 0.15/0.67
% 0.15/0.67 **** run 17 fork 0 starts with strategy
% 0.15/0.67 {"max_dseconds":1,"strategy":["query_focus","double"],"query_preference":1}
% 0.15/0.71
% 0.15/0.71 fork 6: search finished without proof.
% 0.15/0.72
% 0.15/0.72 fork 7: search finished without proof.
% 0.15/0.74
% 0.15/0.74
% 0.15/0.74 fork 3: search terminated without proof.
% 0.15/0.74
% 0.15/0.74
% 0.15/0.74 fork 5: search terminated without proof.
% 0.15/0.75
% 0.15/0.75 **** run 23 fork 6 starts with strategy
% 0.15/0.75 {"length_penalty":100,"query_preference":0,"strategy":["negative_pref"],"max_dseconds":1}
% 0.15/0.76
% 0.15/0.76 **** run 24 fork 7 starts with strategy
% 0.15/0.76 {"strategy":["hardness_pref","max_weight"],"length_penalty":100,"depth_penalty":50,"max_depth":3,"var_weight":10,"repeat_var_weight":10,"max_dseconds":1}
% 0.15/0.77
% 0.15/0.77 **** run 20 fork 3 starts with strategy
% 0.15/0.77 {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.15/0.78
% 0.15/0.78
% 0.15/0.78 result: proof found
% 0.15/0.78 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.15/0.78 by run 2 fork 1 strategy {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.15/0.78 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.15/0.78
% 0.15/0.78 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.15/0.78 fof('ave07_era5_synth_qa07_007_mira_news_1109_$sk', plain, (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) & (gener(wagen_2_1,ge) & (fact(wagen_2_1,real) & (sort(wagen_2_1,da) & (varia(luxus__1_1,varia_c) & (refer(luxus__1_1,refer_c) & (quant(luxus__1_1,one) & (gener(luxus__1_1,ge) & (fact(luxus__1_1,real) & (etype(luxus__1_1,int0) & (card(luxus__1_1,int1) & (sort(luxus__1_1,io) & (varia(c20686,varia_c) & (refer(c20686,refer_c) & (quant(c20686,quant_c) & (gener(c20686,gener_c) & (fact(c20686,real) & (etype(c20686,etype_c) & (card(c20686,card_c) & (sort(c20686,ent) & (sort(neo_1_1,nq) & (varia(motor__1_1,varia_c) & (refer(motor__1_1,refer_c) & (quant(motor__1_1,one) & (gener(motor__1_1,ge) & (fact(motor__1_1,real) & (etype(motor__1_1,int0) & (card(motor__1_1,int1) & (sort(motor__1_1,d) & (varia(entwicklung_1_1,varia_c) & (refer(entwicklung_1_1,refer_c) & (quant(entwicklung_1_1,one) & (gener(entwicklung_1_1,ge) & (fact(entwicklung_1_1,real) & (etype(entwicklung_1_1,int0) & (card(entwicklung_1_1,int1) & (sort(entwicklung_1_1,ad) & (varia(c20649,varia_c) & (refer(c20649,indet) & (quant(c20649,mult) & (gener(c20649,sp) & (fact(c20649,real) & (etype(c20649,int1) & (card(c20649,cons(x_constant,cons(int1,nil))) & (sort(c20649,d) & (varia(c20644,varia_c) & (refer(c20644,det) & (quant(c20644,one) & (gener(c20644,sp) & (fact(c20644,real) & (etype(c20644,int0) & (card(c20644,int1) & (sort(c20644,ad) & (varia(anlieferung_1_1,varia_c) & (refer(anlieferung_1_1,refer_c) & (quant(anlieferung_1_1,one) & (gener(anlieferung_1_1,ge) & (fact(anlieferung_1_1,real) & (etype(anlieferung_1_1,int0) & (card(anlieferung_1_1,int1) & (sort(anlieferung_1_1,ad) & (varia(c20640,con) & (refer(c20640,det) & (quant(c20640,one) & (gener(c20640,sp) & (fact(c20640,real) & (etype(c20640,int0) & (card(c20640,int1) & (sort(c20640,ad) & (varia(abkommen_1_1,varia_c) & (refer(abkommen_1_1,refer_c) & (quant(abkommen_1_1,one) & (gener(abkommen_1_1,ge) & (fact(abkommen_1_1,real) & (etype(abkommen_1_1,int0) & (card(abkommen_1_1,int1) & (sort(abkommen_1_1,io) & (sort(abkommen_1_1,d) & (varia(c20630,varia_c) & (refer(c20630,indet) & (quant(c20630,one) & (gener(c20630,sp) & (fact(c20630,real) & (etype(c20630,int0) & (card(c20630,int1) & (sort(c20630,io) & (sort(c20630,d) & (sort(royce_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(luxuswagenhersteller_1_1,varia_c) & (refer(luxuswagenhersteller_1_1,refer_c) & (quant(luxuswagenhersteller_1_1,one) & (gener(luxuswagenhersteller_1_1,ge) & (fact(luxuswagenhersteller_1_1,real) & (etype(luxuswagenhersteller_1_1,int0) & (card(luxuswagenhersteller_1_1,int1) & (sort(luxuswagenhersteller_1_1,io) & (sort(luxuswagenhersteller_1_1,d) & (sort(britisch__1_1,nq) & (varia(c20629,varia_c) & (refer(c20629,indet) & (quant(c20629,one) & (gener(c20629,sp) & (fact(c20629,real) & (etype(c20629,int0) & (card(c20629,int1) & (sort(c20629,na) & (varia(c20628,con) & (refer(c20628,det) & (quant(c20628,one) & (gener(c20628,sp) & (fact(c20628,real) & (etype(c20628,int0) & (card(c20628,int1) & (sort(c20628,d) & (sort(roll_0,fe) & (varia(familiename_1_1,varia_c) & (refer(familiename_1_1,refer_c) & (quant(familiename_1_1,one) & (gener(familiename_1_1,ge) & (fact(familiename_1_1,real) & (etype(familiename_1_1,int0) & (card(familiename_1_1,int1) & (sort(familiename_1_1,na) & (varia(mensch_1_1,varia_c) & (refer(mensch_1_1,refer_c) & (quant(mensch_1_1,one) & (gener(mensch_1_1,ge) & (fact(mensch_1_1,real) & (etype(mensch_1_1,int0) & (card(mensch_1_1,int1) & (sort(mensch_1_1,d) & (varia(c20624,varia_c) & (refer(c20624,indet) & (quant(c20624,one) & (gener(c20624,sp) & (fact(c20624,real) & (etype(c20624,int0) & (card(c20624,int1) & (sort(c20624,na) & (varia(c20623,con) & (refer(c20623,det) & (quant(c20623,one) & (gener(c20623,sp) & (fact(c20623,real) & (etype(c20623,int0) & (card(c20623,int1) & (sort(c20623,d) & (sort(bmw_0,fe) & (varia(name_1_1,varia_c) & (refer(name_1_1,refer_c) & (quant(name_1_1,one) & (gener(name_1_1,ge) & (fact(name_1_1,real) & (etype(name_1_1,int0) & (card(name_1_1,int1) & (sort(name_1_1,na) & (varia(firma_1_1,varia_c) & (refer(firma_1_1,refer_c) & (quant(firma_1_1,one) & (gener(firma_1_1,ge) & (fact(firma_1_1,real) & (etype(firma_1_1,int0) & (card(firma_1_1,int1) & (sort(firma_1_1,io) & (sort(firma_1_1,d) & (varia(c20611,varia_c) & (refer(c20611,indet) & (quant(c20611,one) & (gener(c20611,sp) & (fact(c20611,real) & (etype(c20611,int0) & (card(c20611,int1) & (sort(c20611,na) & (varia(c20610,con) & (refer(c20610,det) & (quant(c20610,one) & (gener(c20610,sp) & (fact(c20610,real) & (etype(c20610,int0) & (card(c20610,int1) & (sort(c20610,io) & (sort(c20610,d) & (card(c20306,int1994) & (sort(c20306,nu) & (varia(jahr__1_1,varia_c) & (refer(jahr__1_1,refer_c) & (quant(jahr__1_1,quant_c) & (gener(jahr__1_1,ge) & (fact(jahr__1_1,real) & (etype(jahr__1_1,etype_c) & (card(jahr__1_1,card_c) & (sort(jahr__1_1,ta) & (sort(jahr__1_1,oa) & (sort(jahr__1_1,me) & (varia(c20313,varia_c) & (refer(c20313,refer_c) & (quant(c20313,quant_c) & (gener(c20313,sp) & (fact(c20313,real) & (etype(c20313,etype_c) & (card(c20313,card_c) & (sort(c20313,ta) & (sort(c20313,oa) & (sort(c20313,me) & (varia(c20312,con) & (refer(c20312,det) & (quant(c20312,one) & (gener(c20312,sp) & (fact(c20312,real) & (etype(c20312,int0) & (card(c20312,int1) & (sort(c20312,t) & (varia(abschlu__337_1_1,varia_c) & (refer(abschlu__337_1_1,refer_c) & (quant(abschlu__337_1_1,one) & (gener(abschlu__337_1_1,ge) & (fact(abschlu__337_1_1,real) & (etype(abschlu__337_1_1,int0) & (card(abschlu__337_1_1,int1) & (sort(abschlu__337_1_1,io) & (sort(abschlu__337_1_1,ad) & (varia(c20305,varia_c) & (refer(c20305,refer_c) & (quant(c20305,one) & (gener(c20305,gener_c) & (fact(c20305,real) & (etype(c20305,int0) & (card(c20305,int1) & (sort(c20305,io) & (sort(c20305,ad) & (sub(luxuswagenhersteller_1_1,fabrikant_1_1) & (assoc(luxuswagenhersteller_1_1,wagen_2_1) & (assoc(luxuswagenhersteller_1_1,luxus__1_1) & (tupl_p7(c20686,c20312,c20610,c20628,c20630,c20640,c20644) & (prop(c20649,neo_1_1) & (pred(c20649,motor__1_1) & (subs(c20644,entwicklung_1_1) & (rslt(c20644,c20649) & (subs(c20640,anlieferung_1_1) & (sub(c20630,abkommen_1_1) & (val(c20629,royce_0) & (sub(c20629,eigenname_1_1) & (sub(c20628,luxuswagenhersteller_1_1) & (prop(c20628,britisch__1_1) & (cmpl1(c20628,c20623) & (attr(c20628,c20629) & (val(c20624,roll_0) & (sub(c20624,familiename_1_1) & (sub(c20623,mensch_1_1) & (attr(c20623,c20624) & (val(c20611,bmw_0) & (sub(c20611,name_1_1) & (sub(c20610,firma_1_1) & (attr(c20610,c20611) & (val(c20313,c20306) & (sub(c20313,jahr__1_1) & (attr(c20312,c20313) & (assoc(c20312,c20305) & sub(c20305,abschlu__337_1_1))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.15/0.78 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1109'])).
% 0.15/0.78 fof('ave07_era5_synth_qa07_007_mira_news_1109', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((sub(c20305,abschlu__337_1_1) & assoc(c20312,c20305)) & attr(c20312,c20313)) & sub(c20313,jahr__1_1)) & val(c20313,c20306)) & attr(c20610,c20611)) & sub(c20610,firma_1_1)) & sub(c20611,name_1_1)) & val(c20611,bmw_0)) & attr(c20623,c20624)) & sub(c20623,mensch_1_1)) & sub(c20624,familiename_1_1)) & val(c20624,roll_0)) & attr(c20628,c20629)) & cmpl1(c20628,c20623)) & prop(c20628,britisch__1_1)) & sub(c20628,luxuswagenhersteller_1_1)) & sub(c20629,eigenname_1_1)) & val(c20629,royce_0)) & sub(c20630,abkommen_1_1)) & subs(c20640,anlieferung_1_1)) & rslt(c20644,c20649)) & subs(c20644,entwicklung_1_1)) & pred(c20649,motor__1_1)) & prop(c20649,neo_1_1)) & tupl_p7(c20686,c20312,c20610,c20628,c20630,c20640,c20644)) & assoc(luxuswagenhersteller_1_1,luxus__1_1)) & assoc(luxuswagenhersteller_1_1,wagen_2_1)) & sub(luxuswagenhersteller_1_1,fabrikant_1_1)) & sort(c20305,ad)) & sort(c20305,io)) & card(c20305,int1)) & etype(c20305,int0)) & fact(c20305,real)) & gener(c20305,gener_c)) & quant(c20305,one)) & refer(c20305,refer_c)) & varia(c20305,varia_c)) & sort(abschlu__337_1_1,ad)) & sort(abschlu__337_1_1,io)) & card(abschlu__337_1_1,int1)) & etype(abschlu__337_1_1,int0)) & fact(abschlu__337_1_1,real)) & gener(abschlu__337_1_1,ge)) & quant(abschlu__337_1_1,one)) & refer(abschlu__337_1_1,refer_c)) & varia(abschlu__337_1_1,varia_c)) & sort(c20312,t)) & card(c20312,int1)) & etype(c20312,int0)) & fact(c20312,real)) & gener(c20312,sp)) & quant(c20312,one)) & refer(c20312,det)) & varia(c20312,con)) & sort(c20313,me)) & sort(c20313,oa)) & sort(c20313,ta)) & card(c20313,card_c)) & etype(c20313,etype_c)) & fact(c20313,real)) & gener(c20313,sp)) & quant(c20313,quant_c)) & refer(c20313,refer_c)) & varia(c20313,varia_c)) & sort(jahr__1_1,me)) & sort(jahr__1_1,oa)) & sort(jahr__1_1,ta)) & card(jahr__1_1,card_c)) & etype(jahr__1_1,etype_c)) & fact(jahr__1_1,real)) & gener(jahr__1_1,ge)) & quant(jahr__1_1,quant_c)) & refer(jahr__1_1,refer_c)) & varia(jahr__1_1,varia_c)) & sort(c20306,nu)) & card(c20306,int1994)) & sort(c20610,d)) & sort(c20610,io)) & card(c20610,int1)) & etype(c20610,int0)) & fact(c20610,real)) & gener(c20610,sp)) & quant(c20610,one)) & refer(c20610,det)) & varia(c20610,con)) & sort(c20611,na)) & card(c20611,int1)) & etype(c20611,int0)) & fact(c20611,real)) & gener(c20611,sp)) & quant(c20611,one)) & refer(c20611,indet)) & varia(c20611,varia_c)) & sort(firma_1_1,d)) & sort(firma_1_1,io)) & card(firma_1_1,int1)) & etype(firma_1_1,int0)) & fact(firma_1_1,real)) & gener(firma_1_1,ge)) & quant(firma_1_1,one)) & refer(firma_1_1,refer_c)) & varia(firma_1_1,varia_c)) & sort(name_1_1,na)) & card(name_1_1,int1)) & etype(name_1_1,int0)) & fact(name_1_1,real)) & gener(name_1_1,ge)) & quant(name_1_1,one)) & refer(name_1_1,refer_c)) & varia(name_1_1,varia_c)) & sort(bmw_0,fe)) & sort(c20623,d)) & card(c20623,int1)) & etype(c20623,int0)) & fact(c20623,real)) & gener(c20623,sp)) & quant(c20623,one)) & refer(c20623,det)) & varia(c20623,con)) & sort(c20624,na)) & card(c20624,int1)) & etype(c20624,int0)) & fact(c20624,real)) & gener(c20624,sp)) & quant(c20624,one)) & refer(c20624,indet)) & varia(c20624,varia_c)) & sort(mensch_1_1,d)) & card(mensch_1_1,int1)) & etype(mensch_1_1,int0)) & fact(mensch_1_1,real)) & gener(mensch_1_1,ge)) & quant(mensch_1_1,one)) & refer(mensch_1_1,refer_c)) & varia(mensch_1_1,varia_c)) & sort(familiename_1_1,na)) & card(familiename_1_1,int1)) & etype(familiename_1_1,int0)) & fact(familiename_1_1,real)) & gener(familiename_1_1,ge)) & quant(familiename_1_1,one)) & refer(familiename_1_1,refer_c)) & varia(familiename_1_1,varia_c)) & sort(roll_0,fe)) & sort(c20628,d)) & card(c20628,int1)) & etype(c20628,int0)) & fact(c20628,real)) & gener(c20628,sp)) & quant(c20628,one)) & refer(c20628,det)) & varia(c20628,con)) & sort(c20629,na)) & card(c20629,int1)) & etype(c20629,int0)) & fact(c20629,real)) & gener(c20629,sp)) & quant(c20629,one)) & refer(c20629,indet)) & varia(c20629,varia_c)) & sort(britisch__1_1,nq)) & sort(luxuswagenhersteller_1_1,d)) & sort(luxuswagenhersteller_1_1,io)) & card(luxuswagenhersteller_1_1,int1)) & etype(luxuswagenhersteller_1_1,int0)) & fact(luxuswagenhersteller_1_1,real)) & gener(luxuswagenhersteller_1_1,ge)) & quant(luxuswagenhersteller_1_1,one)) & refer(luxuswagenhersteller_1_1,refer_c)) & varia(luxuswagenhersteller_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(royce_0,fe)) & sort(c20630,d)) & sort(c20630,io)) & card(c20630,int1)) & etype(c20630,int0)) & fact(c20630,real)) & gener(c20630,sp)) & quant(c20630,one)) & refer(c20630,indet)) & varia(c20630,varia_c)) & sort(abkommen_1_1,d)) & sort(abkommen_1_1,io)) & card(abkommen_1_1,int1)) & etype(abkommen_1_1,int0)) & fact(abkommen_1_1,real)) & gener(abkommen_1_1,ge)) & quant(abkommen_1_1,one)) & refer(abkommen_1_1,refer_c)) & varia(abkommen_1_1,varia_c)) & sort(c20640,ad)) & card(c20640,int1)) & etype(c20640,int0)) & fact(c20640,real)) & gener(c20640,sp)) & quant(c20640,one)) & refer(c20640,det)) & varia(c20640,con)) & sort(anlieferung_1_1,ad)) & card(anlieferung_1_1,int1)) & etype(anlieferung_1_1,int0)) & fact(anlieferung_1_1,real)) & gener(anlieferung_1_1,ge)) & quant(anlieferung_1_1,one)) & refer(anlieferung_1_1,refer_c)) & varia(anlieferung_1_1,varia_c)) & sort(c20644,ad)) & card(c20644,int1)) & etype(c20644,int0)) & fact(c20644,real)) & gener(c20644,sp)) & quant(c20644,one)) & refer(c20644,det)) & varia(c20644,varia_c)) & sort(c20649,d)) & card(c20649,cons(x_constant,cons(int1,nil)))) & etype(c20649,int1)) & fact(c20649,real)) & gener(c20649,sp)) & quant(c20649,mult)) & refer(c20649,indet)) & varia(c20649,varia_c)) & sort(entwicklung_1_1,ad)) & card(entwicklung_1_1,int1)) & etype(entwicklung_1_1,int0)) & fact(entwicklung_1_1,real)) & gener(entwicklung_1_1,ge)) & quant(entwicklung_1_1,one)) & refer(entwicklung_1_1,refer_c)) & varia(entwicklung_1_1,varia_c)) & sort(motor__1_1,d)) & card(motor__1_1,int1)) & etype(motor__1_1,int0)) & fact(motor__1_1,real)) & gener(motor__1_1,ge)) & quant(motor__1_1,one)) & refer(motor__1_1,refer_c)) & varia(motor__1_1,varia_c)) & sort(neo_1_1,nq)) & sort(c20686,ent)) & card(c20686,card_c)) & etype(c20686,etype_c)) & fact(c20686,real)) & gener(c20686,gener_c)) & quant(c20686,quant_c)) & refer(c20686,refer_c)) & varia(c20686,varia_c)) & sort(luxus__1_1,io)) & card(luxus__1_1,int1)) & etype(luxus__1_1,int0)) & fact(luxus__1_1,real)) & gener(luxus__1_1,ge)) & quant(luxus__1_1,one)) & refer(luxus__1_1,refer_c)) & varia(luxus__1_1,varia_c)) & sort(wagen_2_1,da)) & fact(wagen_2_1,real)) & gener(wagen_2_1,ge)) & 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)),
% 0.15/0.78 input).
% 0.15/0.78 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)),
% 0.15/0.78 inference(negpush_and_skolemize,[],['$inc_sub__sub_0_expansion'])).
% 0.15/0.78 fof('$inc_sub__sub_0_expansion', axiom, (! [X0,X1] : (sub(X0,X1) => (? [X2] : ((arg1(X2,X0) & arg2(X2,X1)) & subr(X2,sub_0))))),
% 0.15/0.78 input).
% 0.15/0.78 fof('synth_qa07_007_mira_news_1109_$sk', plain, (~val(X8,X7) | (~val(X1,bmw_0) | (~val(X6,bmw_0) | (~sub(X8,jahr__1_1) | (~sub(X1,name_1_1) | (~sub(X2,firma_1_1) | (~sub(X6,name_1_1) | (~obj(X3,X2) | (~has_card_leq(X7,int1994) | (~attr(X4,X8) | (~attr(X5,X1) | ~attr(X2,X6)))))))))))),
% 0.15/0.78 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1109'])).
% 0.15/0.78 fof('synth_qa07_007_mira_news_1109', conjecture, (? [X0,X1,X2,X3,X4,X5,X6,X7] : (((((((((((attr(X0,X1) & attr(X3,X2)) & attr(X5,X6)) & has_card_leq(X7,int1994)) & obj(X4,X0)) & sub(X1,name_1_1)) & sub(X0,firma_1_1)) & sub(X2,name_1_1)) & sub(X6,jahr__1_1)) & val(X1,bmw_0)) & val(X2,bmw_0)) & val(X6,X7))),
% 0.15/0.78 input).
% 0.15/0.78 fof('$inc_has_card_eq_$sk', plain, (has_card_leq(X2,X1) | ~card(X2,X1)),
% 0.15/0.78 inference(negpush_and_skolemize,[],['$inc_has_card_eq'])).
% 0.15/0.78 fof('$inc_has_card_eq', axiom, (! [X0,X1] : (card(X0,X1) => has_card_leq(X0,X1))),
% 0.15/0.78 input).
% 0.15/0.78 fof('$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($sk7(X1,X2,X3),X1)))))))) | (~subr(X2,sub_0) | (~arg2(X2,X3) | ~arg1(X2,X1)))),
% 0.15/0.78 inference(negpush_and_skolemize,[],['$inc_sub__bezeichnen_1_1_als'])).
% 0.15/0.78 fof('$inc_sub__bezeichnen_1_1_als', axiom, (! [X0,X1,X2] : (((arg1(X0,X1) & arg2(X0,X2)) & subr(X0,sub_0)) => (? [X3,X4,X5] : (((((((arg1(X4,X1) & arg2(X4,X5)) & hsit(X0,X3)) & mcont(X3,X4)) & obj(X3,X1)) & sub(X5,X2)) & subr(X4,rprs_0)) & subs(X3,bezeichnen_1_1))))),
% 0.15/0.78 input).
% 0.15/0.78 cnf('1', plain, (sub(c20610,firma_1_1)),
% 0.15/0.78 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1109_$sk'])).
% 0.15/0.78 cnf('2', plain, (subr($sk6(X,Y),sub_0) | ~sub(X,Y)),
% 0.15/0.78 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.15/0.78 cnf('3', plain, (subr($sk6(c20610,firma_1_1),sub_0)),
% 0.15/0.78 inference(resolution,[],['1','2'])).
% 0.15/0.78 cnf('4', plain, (val(c20313,c20306)),
% 0.15/0.78 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1109_$sk'])).
% 0.15/0.78 cnf('5', plain, (val(c20611,bmw_0)),
% 0.15/0.78 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1109_$sk'])).
% 0.15/0.78 cnf('6', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~val(Z,U) | ~attr(V,Y) | ~attr(W,Z) | ~attr(X2006,X) | ~obj(X2007,X2006) | ~sub(X2006,firma_1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1) | ~sub(Z,jahr__1_1) | ~has_card_leq(U,int1994)),
% 0.15/0.78 inference(cnf_transformation,[],['synth_qa07_007_mira_news_1109_$sk'])).
% 0.15/0.78 cnf('7', plain, (~val(X,Y) | ~val(Z,bmw_0) | ~attr(U,Z) | ~attr(V,X) | ~attr(W,Z) | ~obj(X2006,U) | ~sub(U,firma_1_1) | ~sub(X,jahr__1_1) | ~sub(Z,name_1_1) | ~has_card_leq(Y,int1994)),
% 0.15/0.78 inference(factorization,[],['6'])).
% 0.15/0.78 cnf('8', plain, (sub(c20611,name_1_1)),
% 0.15/0.78 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1109_$sk'])).
% 0.15/0.78 cnf('9', plain, (~val(X,Y) | ~attr(Z,c20611) | ~attr(U,X) | ~attr(V,c20611) | ~obj(W,V) | ~sub(V,firma_1_1) | ~sub(X,jahr__1_1) | ~has_card_leq(Y,int1994)),
% 0.15/0.78 inference(resolution,[then_simplify],['5','7','8'])).
% 0.15/0.78 cnf('10', plain, (attr(c20610,c20611)),
% 0.15/0.78 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1109_$sk'])).
% 0.15/0.78 cnf('11', plain, (~val(X,Y) | ~attr(Z,X) | ~attr(U,c20611) | ~obj(V,c20610) | ~sub(X,jahr__1_1) | ~has_card_leq(Y,int1994)),
% 0.15/0.78 inference(resolution,[then_simplify],['1','9','10'])).
% 0.15/0.78 cnf('12', plain, (sub(c20313,jahr__1_1)),
% 0.15/0.78 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1109_$sk'])).
% 0.15/0.78 cnf('13', plain, (~has_card_leq(c20306,int1994) | ~attr(Y3,c20611) | ~attr(X3,c20313) | ~obj(Z3,c20610)),
% 0.15/0.78 inference(resolution,[then_simplify],['4','11','12'])).
% 0.15/0.78 cnf('14', plain, (card(c20306,int1994)),
% 0.15/0.78 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1109_$sk'])).
% 0.15/0.78 cnf('15', plain, (~card(X,Y) | has_card_leq(X,Y)),
% 0.15/0.78 inference(cnf_transformation,[],['$inc_has_card_eq_$sk'])).
% 0.15/0.78 cnf('16', plain, (has_card_leq(c20306,int1994)),
% 0.15/0.78 inference(resolution,[],['14','15'])).
% 0.15/0.78 cnf('17', plain, (~attr(X,c20611) | ~attr(Y,c20313) | ~obj(Z,c20610)),
% 0.15/0.78 inference(simplify,[],['13','16'])).
% 0.15/0.78 cnf('18', plain, (attr(c20610,c20611)),
% 0.15/0.78 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1109_$sk'])).
% 0.15/0.78 cnf('19', plain, (~attr(X,c20313) | ~obj(Y,c20610)),
% 0.15/0.78 inference(resolution,[],['17','18'])).
% 0.15/0.78 cnf('20', plain, (attr(c20312,c20313)),
% 0.15/0.78 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1109_$sk'])).
% 0.15/0.78 cnf('21', plain, (~obj(X,c20610)),
% 0.15/0.78 inference(resolution,[],['19','20'])).
% 0.15/0.78 cnf('22', plain, (obj($sk9(X,Y,Z),X) | ~subr(Y,sub_0) | ~arg1(Y,X) | ~arg2(Y,Z)),
% 0.15/0.78 inference(cnf_transformation,[],['$inc_sub__bezeichnen_1_1_als_$sk'])).
% 0.15/0.78 cnf('23', plain, (~subr(X,sub_0) | ~arg1(X,c20610) | ~arg2(X,Y)),
% 0.15/0.78 inference(resolution,[],['21','22'])).
% 0.15/0.78 cnf('24', plain, (arg1($sk6(X,Y),X) | ~sub(X,Y)),
% 0.15/0.78 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.15/0.78 cnf('25', plain, (arg1($sk6(c20610,firma_1_1),c20610)),
% 0.15/0.78 inference(resolution,[],['1','24'])).
% 0.15/0.78 cnf('26', plain, (arg2($sk6(X,Y),Y) | ~sub(X,Y)),
% 0.15/0.78 inference(cnf_transformation,[],['$inc_sub__sub_0_expansion_$sk'])).
% 0.15/0.78 cnf('27', plain, (arg2($sk6(c20610,firma_1_1),firma_1_1)),
% 0.15/0.78 inference(resolution,[],['1','26'])).
% 0.15/0.78 cnf('28', plain, ($false),
% 0.15/0.78 inference(resolution,[then_simplify],['3','23','25','27'])).
% 0.15/0.78
% 0.15/0.78 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.15/0.78
% 0.15/0.78 run 2 fork 1 statistics:
% 0.15/0.78 ----------------------------------
% 0.15/0.78 this run seconds: 0.048184
% 0.15/0.78 total seconds: 0.104726
% 0.15/0.78 stat_given_used: 794
% 0.15/0.78 stat_given_used_at_endgame: 0
% 0.15/0.78 stat_given_candidates: 1513
% 0.15/0.78 stat_given_candidates_at_endgame: 0
% 0.15/0.78 stat_given_candidates_h: 0
% 0.15/0.78 stat_binres_derived_cl: 2163
% 0.15/0.78 stat_binres_derived_cl_h: 0
% 0.15/0.78 stat_factor_derived_cl: 31
% 0.15/0.78 stat_para_derived_cl: 0
% 0.15/0.78 stat_tautologies_discarded: 0
% 0.15/0.78 stat_forward_subsumed: 34
% 0.15/0.78 stat_derived_cut: 245
% 0.15/0.78 stat_derived_rewritten: 0
% 0.15/0.78 stat_weight_discarded_building: 0
% 0.15/0.78 stat_weight_discarded_cl: 0
% 0.15/0.78 stat_internlimit_discarded_cl: 0
% 0.15/0.78 stat_simplified: 13 simplified 0 derived 0 given
% 0.15/0.78 stat_kept_cl: 2159
% 0.15/0.78 stat_built_cl: 24548
% 0.15/0.78 stat_hyperres_partial_cl: 0
% 0.15/0.78 stat_made_rewriters: 0
% 0.15/0.78 stat_backward_subsumed: 0
% 0.15/0.78 stat_propagated_subsumed: 0
% 0.15/0.78 stat_clsubs_attempted: 5937
% 0.15/0.78 stat_clsubs_fact_groundunit_found: 112
% 0.15/0.78 stat_clsubs_rule_groundunit_found: 7
% 0.15/0.78 stat_clsubs_top_meta_attempted: 147593
% 0.15/0.78 stat_clsubs_top_meta_failed: 141656
% 0.15/0.78 stat_clsubs_top_meta_nonpref_attempted: 147593
% 0.15/0.78 stat_clsubs_top_meta_nonpref_succeeded: 24701
% 0.15/0.78 stat_clsubs_top_meta_pref_attempted: 24701
% 0.15/0.78 stat_clsubs_top_meta_pref1_succeeded: 17239
% 0.15/0.78 stat_clsubs_top_meta_pref2_succeeded: 7729
% 0.15/0.78 stat_clsubs_top_meta_pref3_succeeded: 5937
% 0.15/0.78 stat_clsubs_top_meta_pref_succeeded: 5937
% 0.15/0.78 stat_clsubs_meta_attempted: 105685
% 0.15/0.78 stat_clsubs_meta_failed: 51120
% 0.15/0.78 stat_clsubs_predsymbs_attempted: 0
% 0.15/0.78 stat_clsubs_unit_attempted: 214
% 0.15/0.78 stat_clsubs_full_attempted: 5723
% 0.15/0.78 stat_forwardsubs_attempted: 2194
% 0.15/0.78 stat_lit_hash_added: 22606
% 0.15/0.78 stat_lit_hash_computed: 51006
% 0.15/0.78 stat_lit_hash_match_found: 448
% 0.15/0.78 stat_lit_hash_match_miss: 40849
% 0.15/0.78 stat_lit_hash_cut_ok: 291
% 0.15/0.78 stat_lit_strong_cut_ok: 6
% 0.15/0.78 stat_lit_hash_subsume_ok: 34
% 0.15/0.78 clqueue els 10000000 used 1
% 0.15/0.78 clactive els 10000000 used 11189
% 0.15/0.78 clactivesubsume els 10000000 used 1333
% 0.15/0.78 queue_termbuf els 200000000 used 119799
% 0.15/0.78 hyper_termbuf els 100000000 used 1
% 0.15/0.78 active_termbuf els 100000000 used 103450
% 0.15/0.78 varstack els 5000 last used 1
% 0.15/0.78 given_termbuf els 10000000 last used 1
% 0.15/0.78 simplified_termbuf els 10000000 last used 1
% 0.15/0.78 derived_termbuf els 10000000 last used 46
% 0.15/0.78 wr_mallocs: 126406
% 0.15/0.78 wr_callocs: 21
% 0.15/0.78 wr_reallocs: 555
% 0.15/0.78 wr_frees: 2
% 0.15/0.78 wr_malloc_bytes: 4166978292
% 0.15/0.78 wr_calloc_bytes: 112065536
% 0.15/0.78 wr_realloc_bytes: 737752
% 0.15/0.78 wr_realloc_freebytes: 0
% 0.15/0.78 ----------------------------------
% 0.15/0.78
% 0.15/0.78 **** run 22 fork 5 starts with strategy
% 0.15/0.78 {"max_dseconds":1,"strategy":["hardness_pref","max_ground_weight"],"query_preference":0}
%------------------------------------------------------------------------------