TSTP Solution File: MGT028+1 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : MGT028+1 : TPTP v8.1.2. Released v2.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n004.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 : Thu Aug 31 09:13:39 EDT 2023
% Result : Theorem 0.20s 0.42s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12 % Problem : MGT028+1 : TPTP v8.1.2. Released v2.0.0.
% 0.00/0.13 % Command : gkc %s
% 0.12/0.34 % Computer : n004.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 06:15:22 EDT 2023
% 0.20/0.34 % CPUTime :
% 0.20/0.38
% 0.20/0.38 input clause set summed statistics:
% 0.20/0.38 ----------------------------------
% 0.20/0.38 in_clause_count: 31
% 0.20/0.38 in_rule_clause_count: 29
% 0.20/0.38 in_fact_clause_count: 2
% 0.20/0.38 in_answer_clause_count: 0
% 0.20/0.38 in_ground_clause_count: 2
% 0.20/0.38 in_unit_clause_count: 2
% 0.20/0.38 in_horn_clause_count: 22
% 0.20/0.38 in_pos_clause_count: 7
% 0.20/0.38 in_neg_clause_count: 4
% 0.20/0.38 in_poseq_clause_count: 0
% 0.20/0.38 in_negeq_clause_count: 0
% 0.20/0.38 in_unitposeq_clause_count: 0
% 0.20/0.38 in_chain_clause_count: 0
% 0.20/0.38 in_min_length: 1
% 0.20/0.38 in_max_length: 5
% 0.20/0.38 in_min_depth: 1
% 0.20/0.38 in_max_depth: 3
% 0.20/0.38 in_min_size: 2
% 0.20/0.38 in_max_size: 18
% 0.20/0.38 in_min_vars: 0
% 0.20/0.38 in_max_vars: 3
% 0.20/0.38 in_extaxiom_count: 0
% 0.20/0.38 in_axiom_count: 23
% 0.20/0.38 in_assumption_count: 3
% 0.20/0.38 in_goal_count: 5
% 0.20/0.38 in_neg_goal_count: 1
% 0.20/0.38 in_pos_goal_count: 2
% 0.20/0.38 in_posunit_goal_count: 2
% 0.20/0.38
% 0.20/0.38 auto guide:
% 0.20/0.38 -----------
% 0.20/0.38 {
% 0.20/0.38 "print":1,
% 0.20/0.38 "print_level": 15,
% 0.20/0.38 "max_size": 0,
% 0.20/0.38 "max_depth": 0,
% 0.20/0.38 "max_length": 0,
% 0.20/0.38 "max_dseconds": 0,
% 0.20/0.38 "equality":0,
% 0.20/0.38 "runs":[
% 0.20/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":1, "sine":5, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "weight_select_ratio":100, "query_preference":0},
% 0.20/0.38 {"max_dseconds":1, "strategy":["hardness_pref"], "weight_select_ratio":100, "query_preference":0},
% 0.20/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.38 {"max_dseconds":1, "strategy":["unit"], "weight_select_ratio":100, "query_preference":0},
% 0.20/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "weight_select_ratio":100, "query_preference":0, "var_weight":70, "repeat_var_weight":70},
% 0.20/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.38 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.38 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.38 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.20/0.38 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.38 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.38 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "weight_select_ratio":20},
% 0.20/0.38 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":2},
% 0.20/0.38 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":2},
% 0.20/0.38 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.38 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "max_depth":5, "query_preference":0},
% 0.20/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "max_weight":40, "query_preference":0},
% 0.20/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.38
% 0.20/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":10, "sine":5, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "weight_select_ratio":100, "query_preference":0},
% 0.20/0.38 {"max_dseconds":10, "strategy":["hardness_pref"], "weight_select_ratio":100, "query_preference":0},
% 0.20/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.38 {"max_dseconds":10, "strategy":["unit"], "weight_select_ratio":100, "query_preference":0},
% 0.20/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "weight_select_ratio":100, "query_preference":0, "var_weight":70, "repeat_var_weight":70},
% 0.20/0.38 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.38 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.38 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.38 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.20/0.38 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.38 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.38 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.38 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.38 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.20/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "weight_select_ratio":20},
% 0.20/0.38 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":2},
% 0.20/0.38 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":2},
% 0.20/0.38 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.38 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.38 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "max_depth":5, "query_preference":0},
% 0.20/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "max_weight":40, "query_preference":0},
% 0.20/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.38
% 0.20/0.38 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":50, "sine":5, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":50, "strategy":["negative_pref"], "weight_select_ratio":100, "query_preference":0},
% 0.20/0.38 {"max_dseconds":50, "strategy":["hardness_pref"], "weight_select_ratio":100, "query_preference":0},
% 0.20/0.38 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.38 {"max_dseconds":50, "strategy":["unit"], "weight_select_ratio":100, "query_preference":0},
% 0.20/0.38 {"max_dseconds":50, "strategy":["negative_pref"], "weight_select_ratio":100, "query_preference":0, "var_weight":70, "repeat_var_weight":70},
% 0.20/0.38 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.38 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.38 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.38 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.38 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.20/0.38 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.38 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.38 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.38 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.38 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.38 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.20/0.38 {"max_dseconds":50, "strategy":["negative_pref"], "weight_select_ratio":20},
% 0.20/0.38 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":2},
% 0.20/0.38 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":2},
% 0.20/0.38 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.38 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.38 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.38 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.38 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.39 {"max_dseconds":50, "strategy":["negative_pref"], "max_depth":5, "query_preference":0},
% 0.20/0.39 {"max_dseconds":50, "strategy":["negative_pref"], "max_weight":40, "query_preference":0},
% 0.20/0.39 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.39
% 0.20/0.39 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds":250, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":250, "strategy":["unit"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":250, "strategy":["unit"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":250, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":250},
% 0.20/0.39 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":250},
% 0.20/0.39 {"max_dseconds":250, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.39 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":250},
% 0.20/0.39 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.39 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":250},
% 0.20/0.39 {"max_dseconds":250, "strategy":["negative_pref"], "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds":250, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.39
% 0.20/0.39 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["unit"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1250},
% 0.20/0.39 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1250},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.39 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1250},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.39 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1250},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["negative_pref"], "weight_select_ratio":20},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":0}
% 0.20/0.39
% 0.20/0.39 ]}
% 0.20/0.39
% 0.20/0.39
% 0.20/0.39 **** run 1 fork 0 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0}
% 0.20/0.39
% 0.20/0.39 **** run 2 fork 1 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"sine":5,"strategy":["negative_pref"],"query_preference":0}
% 0.20/0.39
% 0.20/0.39 **** run 3 fork 2 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["negative_pref"],"weight_select_ratio":100,"query_preference":0}
% 0.20/0.39
% 0.20/0.39 **** run 4 fork 3 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["hardness_pref"],"weight_select_ratio":100,"query_preference":0}
% 0.20/0.39
% 0.20/0.39 **** run 5 fork 4 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"weight_select_ratio":100,"depth_penalty":100,"length_penalty":100}
% 0.20/0.39
% 0.20/0.39 **** run 6 fork 5 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["unit"],"weight_select_ratio":100,"query_preference":0}
% 0.20/0.39
% 0.20/0.39 **** run 8 fork 7 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":100,"depth_penalty":100,"length_penalty":100}
% 0.20/0.39 **** run 7 fork 6 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["negative_pref"],"weight_select_ratio":100,"query_preference":0,"var_weight":70,"repeat_var_weight":70}
% 0.20/0.39
% 0.20/0.42
% 0.20/0.42 fork 5: search finished without proof.
% 0.20/0.42
% 0.20/0.42 fork 7: search finished without proof.
% 0.20/0.42
% 0.20/0.42
% 0.20/0.42 result: proof found
% 0.20/0.42 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.42 by run 5 fork 4 strategy {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"weight_select_ratio":100,"depth_penalty":100,"length_penalty":100}
% 0.20/0.42 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.42
% 0.20/0.42 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.42 fof('mp_first_movers_negative_growth_$sk', plain, (((greater(zero,growth_rate(first_movers,X2)) | (~greater_or_equal(X2,$sk4(X1)) | ~subpopulations(first_movers,efficient_producers,X1,X2))) & greater($sk4(X1),appear(efficient_producers,X1))) | (((~greater(zero,growth_rate(first_movers,$sk5(X1,X3))) & (greater_or_equal($sk5(X1,X3),X3) & subpopulations(first_movers,efficient_producers,X1,$sk5(X1,X3)))) | ~in_environment(X1,X3)) | (~stable(X1) | ~environment(X1)))),
% 0.20/0.42 inference(negpush_and_skolemize,[],['mp_first_movers_negative_growth'])).
% 0.20/0.42 fof('mp_first_movers_negative_growth', axiom, (! [E] : (((environment(E) & stable(E)) & (? [T1] : (in_environment(E,T1) & (! [T] : ((subpopulations(first_movers,efficient_producers,E,T) & greater_or_equal(T,T1)) => greater(zero,growth_rate(first_movers,T))))))) => (? [T2] : (greater(T2,appear(efficient_producers,E)) & (! [T] : ((subpopulations(first_movers,efficient_producers,E,T) & greater_or_equal(T,T2)) => greater(zero,growth_rate(first_movers,T)))))))),
% 0.20/0.42 input).
% 0.20/0.42 fof('l11_$sk', plain, ((((greater(zero,growth_rate(first_movers,X2)) & greater(growth_rate(efficient_producers,X2),zero)) | (~greater_or_equal(X2,$sk3(X1)) | ~subpopulations(first_movers,efficient_producers,X1,X2))) & in_environment(X1,$sk3(X1))) | (~stable(X1) | ~environment(X1))),
% 0.20/0.42 inference(negpush_and_skolemize,[],['l11'])).
% 0.20/0.42 fof('l11', hypothesis, (! [E] : ((environment(E) & stable(E)) => (? [To] : (in_environment(E,To) & (! [T] : ((subpopulations(first_movers,efficient_producers,E,T) & greater_or_equal(T,To)) => (greater(growth_rate(efficient_producers,T),zero) & greater(zero,growth_rate(first_movers,T))))))))),
% 0.20/0.42 input).
% 0.20/0.42 fof('prove_l10_$sk', plain, (((~greater(zero,growth_rate(first_movers,$sk2(X1))) & (greater_or_equal($sk2(X1),X1) & subpopulations(first_movers,efficient_producers,$sk1,$sk2(X1)))) | ~greater(X1,appear(efficient_producers,$sk1))) & (stable($sk1) & environment($sk1))),
% 0.20/0.42 inference(negpush_and_skolemize,[],['prove_l10'])).
% 0.20/0.42 fof('prove_l10', conjecture, (! [E] : ((environment(E) & stable(E)) => (? [To] : (greater(To,appear(efficient_producers,E)) & (! [T] : ((subpopulations(first_movers,efficient_producers,E,T) & greater_or_equal(T,To)) => greater(zero,growth_rate(first_movers,T)))))))),
% 0.20/0.42 input).
% 0.20/0.42 cnf('1', plain, (~greater(zero,growth_rate(first_movers,$sk5(X,Y))) | ~in_environment(X,Y) | ~$df2(Y,X) | ~stable(X) | ~environment(X)),
% 0.20/0.42 inference(cnf_transformation,[],['mp_first_movers_negative_growth_$sk'])).
% 0.20/0.42 cnf('2', plain, (subpopulations(first_movers,efficient_producers,X,$sk5(X,Y)) | ~in_environment(X,Y) | ~$df2(Y,X) | ~stable(X) | ~environment(X)),
% 0.20/0.42 inference(cnf_transformation,[],['mp_first_movers_negative_growth_$sk'])).
% 0.20/0.42 cnf('3', plain, (in_environment(X,$sk3(X)) | ~stable(X) | ~environment(X)),
% 0.20/0.42 inference(cnf_transformation,[],['l11_$sk'])).
% 0.20/0.42 cnf('4', plain, (stable($sk1)),
% 0.20/0.42 inference(cnf_transformation,[],['prove_l10_$sk'])).
% 0.20/0.42 cnf('5', plain, (environment($sk1)),
% 0.20/0.42 inference(cnf_transformation,[],['prove_l10_$sk'])).
% 0.20/0.42 cnf('6', plain, (in_environment($sk1,$sk3($sk1))),
% 0.20/0.42 inference(resolution,[then_simplify],['3','4','5'])).
% 0.20/0.42 cnf('7', plain, (stable($sk1)),
% 0.20/0.42 inference(cnf_transformation,[],['prove_l10_$sk'])).
% 0.20/0.42 cnf('8', plain, (~$df2($sk3($sk1),$sk1) | subpopulations(first_movers,efficient_producers,$sk1,$sk5($sk1,$sk3($sk1)))),
% 0.20/0.42 inference(resolution,[then_simplify],['2','6','7','5'])).
% 0.20/0.42 cnf('9', plain, (greater($sk4(X),appear(efficient_producers,X)) | ~$df1(X,Y)),
% 0.20/0.42 inference(cnf_transformation,[],['mp_first_movers_negative_growth_$sk'])).
% 0.20/0.42 cnf('10', plain, ($df2(X,Y) | $df1(Y,Z)),
% 0.20/0.42 inference(cnf_transformation,[],['mp_first_movers_negative_growth_$sk'])).
% 0.20/0.42 cnf('11', plain, (greater($sk4(X),appear(efficient_producers,X)) | $df2(Y,X)),
% 0.20/0.42 inference(resolution,[],['9','10'])).
% 0.20/0.42 cnf('12', plain, (subpopulations(first_movers,efficient_producers,$sk1,$sk5($sk1,$sk3($sk1))) | greater($sk4($sk1),appear(efficient_producers,$sk1))),
% 0.20/0.42 inference(resolution,[],['8','11'])).
% 0.20/0.42 cnf('13', plain, (greater(zero,growth_rate(first_movers,X)) | ~subpopulations(first_movers,efficient_producers,Y,X) | ~greater_or_equal(X,$sk3(Y)) | ~stable(Y) | ~environment(Y)),
% 0.20/0.42 inference(cnf_transformation,[],['l11_$sk'])).
% 0.20/0.42 cnf('14', plain, (~greater_or_equal($sk5($sk1,$sk3($sk1)),$sk3($sk1)) | greater(zero,growth_rate(first_movers,$sk5($sk1,$sk3($sk1)))) | greater($sk4($sk1),appear(efficient_producers,$sk1))),
% 0.20/0.42 inference(resolution,[then_simplify],['12','13','7','5'])).
% 0.20/0.42 cnf('15', plain, (greater_or_equal($sk5(X,Y),Y) | ~in_environment(X,Y) | ~$df2(Y,X) | ~stable(X) | ~environment(X)),
% 0.20/0.42 inference(cnf_transformation,[],['mp_first_movers_negative_growth_$sk'])).
% 0.20/0.42 cnf('16', plain, (~$df2($sk3($sk1),$sk1) | greater_or_equal($sk5($sk1,$sk3($sk1)),$sk3($sk1))),
% 0.20/0.42 inference(resolution,[then_simplify],['15','6','7','5'])).
% 0.20/0.42 cnf('17', plain, (greater_or_equal($sk5($sk1,$sk3($sk1)),$sk3($sk1)) | greater($sk4($sk1),appear(efficient_producers,$sk1))),
% 0.20/0.42 inference(resolution,[],['16','11'])).
% 0.20/0.42 cnf('18', plain, (greater(zero,growth_rate(first_movers,$sk5($sk1,$sk3($sk1)))) | greater($sk4($sk1),appear(efficient_producers,$sk1))),
% 0.20/0.42 inference(simplify,[],['14','17'])).
% 0.20/0.42 cnf('19', plain, (in_environment($sk1,$sk3($sk1))),
% 0.20/0.42 inference(resolution,[then_simplify],['3','4','5'])).
% 0.20/0.42 cnf('20', plain, (~$df2($sk3($sk1),$sk1) | greater($sk4($sk1),appear(efficient_producers,$sk1))),
% 0.20/0.42 inference(resolution,[then_simplify],['1','18','19','7','5'])).
% 0.20/0.42 cnf('21', plain, (greater($sk4($sk1),appear(efficient_producers,$sk1))),
% 0.20/0.42 inference(resolution,[],['20','11'])).
% 0.20/0.42 cnf('22', plain, (subpopulations(first_movers,efficient_producers,$sk1,$sk2(X)) | ~greater(X,appear(efficient_producers,$sk1))),
% 0.20/0.42 inference(cnf_transformation,[],['prove_l10_$sk'])).
% 0.20/0.42 cnf('23', plain, (subpopulations(first_movers,efficient_producers,$sk1,$sk2($sk4($sk1)))),
% 0.20/0.42 inference(resolution,[],['21','22'])).
% 0.20/0.42 cnf('24', plain, (greater(zero,growth_rate(first_movers,X)) | ~subpopulations(first_movers,efficient_producers,Y,X) | ~greater_or_equal(X,$sk4(Y)) | ~$df1(Y,X)),
% 0.20/0.42 inference(cnf_transformation,[],['mp_first_movers_negative_growth_$sk'])).
% 0.20/0.42 cnf('25', plain, (~greater(X,appear(efficient_producers,$sk1)) | greater_or_equal($sk2(X),X)),
% 0.20/0.42 inference(cnf_transformation,[],['prove_l10_$sk'])).
% 0.20/0.42 cnf('26', plain, (greater_or_equal($sk2($sk4($sk1)),$sk4($sk1))),
% 0.20/0.42 inference(resolution,[],['21','25'])).
% 0.20/0.42 cnf('27', plain, (~$df1($sk1,$sk2($sk4($sk1))) | greater(zero,growth_rate(first_movers,$sk2($sk4($sk1))))),
% 0.20/0.42 inference(resolution,[then_simplify],['23','24','26'])).
% 0.20/0.42 cnf('28', plain, (subpopulations(first_movers,efficient_producers,$sk1,$sk5($sk1,$sk3($sk1))) | $df1($sk1,X)),
% 0.20/0.42 inference(resolution,[],['8','10'])).
% 0.20/0.42 cnf('29', plain, (~greater_or_equal($sk5($sk1,$sk3($sk1)),$sk3($sk1)) | greater(zero,growth_rate(first_movers,$sk5($sk1,$sk3($sk1)))) | $df1($sk1,X3)),
% 0.20/0.42 inference(resolution,[then_simplify],['28','13','7','5'])).
% 0.20/0.42 cnf('30', plain, (greater_or_equal($sk5($sk1,$sk3($sk1)),$sk3($sk1)) | $df1($sk1,X3)),
% 0.20/0.42 inference(resolution,[],['16','10'])).
% 0.20/0.42 cnf('31', plain, (greater(zero,growth_rate(first_movers,$sk5($sk1,$sk3($sk1)))) | $df1($sk1,X)),
% 0.20/0.42 inference(simplify,[],['29','30'])).
% 0.20/0.42 cnf('32', plain, (~$df2($sk3($sk1),$sk1) | $df1($sk1,X)),
% 0.20/0.42 inference(resolution,[then_simplify],['1','31','19','7','5'])).
% 0.20/0.42 cnf('33', plain, ($df1($sk1,X) | $df1($sk1,Y)),
% 0.20/0.42 inference(resolution,[],['32','10'])).
% 0.20/0.42 cnf('34', plain, ($df1($sk1,X)),
% 0.20/0.42 inference(factorization,[],['33'])).
% 0.20/0.42 cnf('35', plain, (greater(zero,growth_rate(first_movers,$sk2($sk4($sk1))))),
% 0.20/0.42 inference(resolution,[],['27','34'])).
% 0.20/0.42 cnf('36', plain, (~greater(zero,growth_rate(first_movers,$sk2(X))) | ~greater(X,appear(efficient_producers,$sk1))),
% 0.20/0.42 inference(cnf_transformation,[],['prove_l10_$sk'])).
% 0.20/0.42 cnf('37', plain, (greater($sk4($sk1),appear(efficient_producers,$sk1))),
% 0.20/0.42 inference(resolution,[],['20','11'])).
% 0.20/0.42 cnf('38', plain, ($false),
% 0.20/0.42 inference(resolution,[then_simplify],['35','36','37'])).
% 0.20/0.42
% 0.20/0.42 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.42
% 0.20/0.42 run 5 fork 4 statistics:
% 0.20/0.42 ----------------------------------
% 0.20/0.42 this run seconds: 0.011287
% 0.20/0.42 total seconds: 0.035005
% 0.20/0.42 stat_given_used: 95
% 0.20/0.42 stat_given_used_at_endgame: 0
% 0.20/0.42 stat_given_candidates: 125
% 0.20/0.42 stat_given_candidates_at_endgame: 0
% 0.20/0.42 stat_given_candidates_h: 0
% 0.20/0.42 stat_binres_derived_cl: 170
% 0.20/0.42 stat_binres_derived_cl_h: 0
% 0.20/0.42 stat_factor_derived_cl: 1
% 0.20/0.42 stat_para_derived_cl: 0
% 0.20/0.42 stat_tautologies_discarded: 8
% 0.20/0.42 stat_forward_subsumed: 44
% 0.20/0.42 stat_derived_cut: 52
% 0.20/0.42 stat_derived_rewritten: 0
% 0.20/0.42 stat_weight_discarded_building: 0
% 0.20/0.42 stat_weight_discarded_cl: 0
% 0.20/0.42 stat_internlimit_discarded_cl: 0
% 0.20/0.42 stat_simplified: 18 simplified 0 derived 0 given
% 0.20/0.42 stat_kept_cl: 118
% 0.20/0.42 stat_built_cl: 326
% 0.20/0.42 stat_hyperres_partial_cl: 0
% 0.20/0.42 stat_made_rewriters: 0
% 0.20/0.42 stat_backward_subsumed: 0
% 0.20/0.42 stat_propagated_subsumed: 0
% 0.20/0.42 stat_clsubs_attempted: 39
% 0.20/0.42 stat_clsubs_fact_groundunit_found: 1
% 0.20/0.42 stat_clsubs_rule_groundunit_found: 0
% 0.20/0.42 stat_clsubs_top_meta_attempted: 5163
% 0.20/0.42 stat_clsubs_top_meta_failed: 5124
% 0.20/0.42 stat_clsubs_top_meta_nonpref_attempted: 5163
% 0.20/0.42 stat_clsubs_top_meta_nonpref_succeeded: 1454
% 0.20/0.42 stat_clsubs_top_meta_pref_attempted: 1454
% 0.20/0.42 stat_clsubs_top_meta_pref1_succeeded: 119
% 0.20/0.42 stat_clsubs_top_meta_pref2_succeeded: 47
% 0.20/0.42 stat_clsubs_top_meta_pref3_succeeded: 39
% 0.20/0.42 stat_clsubs_top_meta_pref_succeeded: 39
% 0.20/0.42 stat_clsubs_meta_attempted: 104
% 0.20/0.42 stat_clsubs_meta_failed: 46
% 0.20/0.42 stat_clsubs_predsymbs_attempted: 0
% 0.20/0.42 stat_clsubs_unit_attempted: 3
% 0.20/0.42 stat_clsubs_full_attempted: 36
% 0.20/0.42 stat_forwardsubs_attempted: 163
% 0.20/0.42 stat_lit_hash_added: 168
% 0.20/0.42 stat_lit_hash_computed: 1648
% 0.20/0.42 stat_lit_hash_match_found: 120
% 0.20/0.42 stat_lit_hash_match_miss: 1985
% 0.20/0.42 stat_lit_hash_cut_ok: 86
% 0.20/0.42 stat_lit_strong_cut_ok: 0
% 0.20/0.42 stat_lit_hash_subsume_ok: 44
% 0.20/0.42 clqueue els 10000000 used 1
% 0.20/0.42 clactive els 10000000 used 96
% 0.20/0.42 clactivesubsume els 10000000 used 529
% 0.20/0.42 queue_termbuf els 200000000 used 8904
% 0.20/0.42 hyper_termbuf els 100000000 used 1
% 0.20/0.42 active_termbuf els 100000000 used 4092
% 0.20/0.42 varstack els 5000 last used 1
% 0.20/0.42 given_termbuf els 10000000 last used 1
% 0.20/0.42 simplified_termbuf els 10000000 last used 1
% 0.20/0.42 derived_termbuf els 10000000 last used 35
% 0.20/0.42 wr_mallocs: 570
% 0.20/0.42 wr_callocs: 21
% 0.20/0.42 wr_reallocs: 50
% 0.20/0.42 wr_frees: 2
% 0.20/0.42 wr_malloc_bytes: 4162599844
% 0.20/0.42 wr_calloc_bytes: 112065536
% 0.20/0.42 wr_realloc_bytes: 30368
% 0.20/0.42 wr_realloc_freebytes: 0
% 0.20/0.42 ----------------------------------
% 0.20/0.42
% 0.20/0.42 fork 1: search finished without proof.
%------------------------------------------------------------------------------