TSTP Solution File: MGT020+1 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : MGT020+1 : TPTP v8.1.2. Released v2.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n008.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 09:13:34 EDT 2023
% Result : Theorem 0.20s 0.54s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.13 % Problem : MGT020+1 : TPTP v8.1.2. Released v2.0.0.
% 0.00/0.13 % Command : gkc %s
% 0.17/0.35 % Computer : n008.cluster.edu
% 0.17/0.35 % Model : x86_64 x86_64
% 0.17/0.35 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.17/0.35 % Memory : 8042.1875MB
% 0.17/0.35 % OS : Linux 3.10.0-693.el7.x86_64
% 0.17/0.35 % CPULimit : 300
% 0.17/0.35 % WCLimit : 300
% 0.17/0.35 % DateTime : Mon Aug 28 06:39:17 EDT 2023
% 0.17/0.35 % CPUTime :
% 0.20/0.39
% 0.20/0.39 input clause set summed statistics:
% 0.20/0.39 ----------------------------------
% 0.20/0.39 in_clause_count: 14
% 0.20/0.39 in_rule_clause_count: 12
% 0.20/0.39 in_fact_clause_count: 2
% 0.20/0.39 in_answer_clause_count: 0
% 0.20/0.39 in_ground_clause_count: 3
% 0.20/0.39 in_unit_clause_count: 3
% 0.20/0.39 in_horn_clause_count: 12
% 0.20/0.39 in_pos_clause_count: 2
% 0.20/0.39 in_neg_clause_count: 2
% 0.20/0.39 in_poseq_clause_count: 1
% 0.20/0.39 in_negeq_clause_count: 0
% 0.20/0.39 in_unitposeq_clause_count: 0
% 0.20/0.39 in_chain_clause_count: 0
% 0.20/0.39 in_min_length: 1
% 0.20/0.39 in_max_length: 7
% 0.20/0.39 in_min_depth: 1
% 0.20/0.39 in_max_depth: 3
% 0.20/0.39 in_min_size: 2
% 0.20/0.39 in_max_size: 35
% 0.20/0.39 in_min_vars: 0
% 0.20/0.39 in_max_vars: 4
% 0.20/0.39 in_extaxiom_count: 0
% 0.20/0.39 in_axiom_count: 9
% 0.20/0.39 in_assumption_count: 2
% 0.20/0.39 in_goal_count: 3
% 0.20/0.39 in_neg_goal_count: 1
% 0.20/0.39 in_pos_goal_count: 2
% 0.20/0.39 in_posunit_goal_count: 2
% 0.20/0.39
% 0.20/0.39 auto guide:
% 0.20/0.39 -----------
% 0.20/0.39 {
% 0.20/0.39 "print":1,
% 0.20/0.39 "print_level": 15,
% 0.20/0.39 "max_size": 0,
% 0.20/0.39 "max_depth": 0,
% 0.20/0.39 "max_length": 0,
% 0.20/0.39 "max_dseconds": 0,
% 0.20/0.39 "runs":[
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "sine":5, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_deep_para"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 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 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.20/0.39 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para","prohibit_unordered_para"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":0, "strategy":["query_focus", "posunitpara"], "max_dseconds":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":2},
% 0.20/0.39 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":1},
% 0.20/0.39 {"weight_select_ratio":100, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "equality":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.20/0.39 {"var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["positive_pref"], "max_dseconds":1},
% 0.20/0.39 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1, "max_size":17},
% 0.20/0.39 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "sine":5, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "max_size":30, "max_depth":10, "max_weight":300, "weight_select_ratio":1, "rewrite":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":2},
% 0.20/0.39 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "rewrite":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "rewrite":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":2},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":3},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":30, "depth_penalty":100},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref", "posunitpara"], "query_preference":1, "max_depth":2, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":1},
% 0.20/0.39 {"depth_penalty":50, "query_preference":2, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.39 {"max_depth":0, "length_penalty":100, "query_preference":2, "strategy":["hardness_pref", "posunitpara"], "max_dseconds":1},
% 0.20/0.39 {"weight_select_ratio":100, "query_preference":1, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "max_depth":2},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.20/0.39 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "weight_select_ratio":1, "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.39 {"var_weight":70, "repeat_var_weight":70, "rewrite":0, "length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["hardness_pref", "max_weight"], "max_dseconds":1},
% 0.20/0.39 {"max_depth":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.20/0.39 {"depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":0, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.20/0.39 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.20/0.39 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "max_depth":2},
% 0.20/0.39 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.39 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.20/0.39 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight","prohibit_unordered_para"], "max_dseconds":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus", "posunitpara"], "query_preference":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39 {"depth_penalty":50, "query_preference":1, "strategy":["hardness_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.20/0.39 {"rewrite":0, "depth_penalty":50, "query_preference":1, "strategy":["query_focus", "hornpref"], "max_dseconds":1},
% 0.20/0.39 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "length_penalty":100, "query_preference":1, "strategy":["query_focus", "prohibit_nested_para"], "max_dseconds":1},
% 0.20/0.39 {"query_preference":1, "strategy":["unit", "max_weight"], "max_dseconds":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "weight_select_ratio":30, "depth_penalty":100, "length_penalty":100},
% 0.20/0.39 {"length_penalty":100, "query_preference":1, "strategy":["positive_pref", "posunitpara"], "max_dseconds":1},
% 0.20/0.39 {"weight_select_ratio":100, "rewrite":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.20/0.39
% 0.20/0.39 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":10, "sine":5, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":10, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":10, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":10, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":10, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":10, "strategy":["hardness_pref","prohibit_deep_para"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":10, "strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.20/0.39 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":10, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.39 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.20/0.39 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":10, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.39 {"max_dseconds":10, "strategy":["unit", "prohibit_nested_para","prohibit_unordered_para"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.39 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.20/0.39 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":0, "strategy":["query_focus", "posunitpara"], "max_dseconds":10},
% 0.20/0.39 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "max_depth":2},
% 0.20/0.39 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":10},
% 0.20/0.39 {"weight_select_ratio":100, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":10},
% 0.20/0.39 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "equality":0},
% 0.20/0.39 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.20/0.39 {"var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["positive_pref"], "max_dseconds":10},
% 0.20/0.39 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.20/0.39 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.20/0.39 {"max_dseconds":10, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1, "max_size":17},
% 0.20/0.39 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":10, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":10, "sine":5, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.39 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.39 {"max_dseconds":10, "strategy":["unit", "pure_unit"], "max_size":30, "max_depth":10, "max_weight":300, "weight_select_ratio":1, "rewrite":0},
% 0.20/0.39 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":2},
% 0.20/0.39 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
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% 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 {"max_dseconds":1250, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "rewrite":0}
% 0.20/0.39
% 0.20/0.39 ]}
% 0.20/0.39
% 0.20/0.40
% 0.20/0.40 **** run 1 fork 0 starts with strategy
% 0.20/0.40 {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.20/0.40
% 0.20/0.40 **** run 2 fork 1 starts with strategy
% 0.20/0.40 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.20/0.40
% 0.20/0.40 **** run 3 fork 2 starts with strategy
% 0.20/0.40 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1}
% 0.20/0.40
% 0.20/0.40 **** run 4 fork 3 starts with strategy
% 0.20/0.40
% 0.20/0.40 **** run 7 fork 6 starts with strategy
% 0.20/0.40
% 0.20/0.40 **** run 5 fork 4 starts with strategy
% 0.20/0.40 {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para"],"query_preference":0}{"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":1}
% 0.20/0.40
% 0.20/0.40 {"max_dseconds":1,"sine":5,"strategy":["negative_pref"],"query_preference":1}
% 0.20/0.40
% 0.20/0.40 **** run 6 fork 5 starts with strategy
% 0.20/0.40 {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":0}
% 0.20/0.41
% 0.20/0.41 **** run 8 fork 7 starts with strategy
% 0.20/0.41 {"max_dseconds":1,"strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"],"query_preference":0}
% 0.20/0.45
% 0.20/0.45 fork 3: search finished without proof.
% 0.20/0.48
% 0.20/0.48 **** run 12 fork 3 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":1}
% 0.20/0.54
% 0.20/0.54
% 0.20/0.54 result: proof found
% 0.20/0.54 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.54 by run 5 fork 4 strategy {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para"],"query_preference":0}
% 0.20/0.54 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.54
% 0.20/0.54 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.54 fof('mp_positive_function_difference_$sk', plain, ((greater(disbanding_rate(first_movers,X4),disbanding_rate(efficient_producers,X4)) | decreases(difference(disbanding_rate(first_movers,X3),disbanding_rate(efficient_producers,X3)))) | (~greater(disbanding_rate(first_movers,X1),disbanding_rate(efficient_producers,X1)) | (~subpopulations(first_movers,efficient_producers,X2,X4) | (~greater_or_equal(X4,X3) | (~greater_or_equal(X3,X1) | ~environment(X2)))))),
% 0.20/0.54 inference(negpush_and_skolemize,[],['mp_positive_function_difference'])).
% 0.20/0.54 fof('mp_positive_function_difference', axiom, (! [E,T,T1,T2] : (((((environment(E) & greater_or_equal(T,T1)) & greater_or_equal(T2,T)) & subpopulations(first_movers,efficient_producers,E,T2)) & greater(disbanding_rate(first_movers,T1),disbanding_rate(efficient_producers,T1))) => (~decreases(difference(disbanding_rate(first_movers,T),disbanding_rate(efficient_producers,T))) => greater(disbanding_rate(first_movers,T2),disbanding_rate(efficient_producers,T2))))),
% 0.20/0.54 input).
% 0.20/0.54 fof('a8_$sk', plain, (greater(disbanding_rate(first_movers,initial_FM_EP(X1)),disbanding_rate(efficient_producers,initial_FM_EP(X1))) | ~environment(X1)),
% 0.20/0.54 inference(negpush_and_skolemize,[],['a8'])).
% 0.20/0.54 fof('a8', hypothesis, (! [E] : (environment(E) => greater(disbanding_rate(first_movers,initial_FM_EP(E)),disbanding_rate(efficient_producers,initial_FM_EP(E))))),
% 0.20/0.54 input).
% 0.20/0.54 fof('prove_l2_$sk', plain, (~greater(disbanding_rate(first_movers,$sk2),disbanding_rate(efficient_producers,$sk2)) & (subpopulations(first_movers,efficient_producers,$sk1,$sk2) & environment($sk1))),
% 0.20/0.54 inference(negpush_and_skolemize,[],['prove_l2'])).
% 0.20/0.54 fof('prove_l2', conjecture, (! [E,T] : ((environment(E) & subpopulations(first_movers,efficient_producers,E,T)) => greater(disbanding_rate(first_movers,T),disbanding_rate(efficient_producers,T)))),
% 0.20/0.54 input).
% 0.20/0.54 fof('mp_times_in_order_$sk', plain, (in_environment(X3,X2) | (~in_environment(X3,X1) | (~greater(X1,X2) | (~greater_or_equal(X2,start_time(X3)) | ~environment(X3))))),
% 0.20/0.54 inference(negpush_and_skolemize,[],['mp_times_in_order'])).
% 0.20/0.54 fof('mp_times_in_order', axiom, (! [E,T1,T2] : ((((environment(E) & greater_or_equal(T1,start_time(E))) & greater(T2,T1)) & in_environment(E,T2)) => in_environment(E,T1))),
% 0.20/0.54 input).
% 0.20/0.54 fof('mp_initial_time_$sk', plain, (greater_or_equal(initial_FM_EP(X1),start_time(X1)) | ~environment(X1)),
% 0.20/0.54 inference(negpush_and_skolemize,[],['mp_initial_time'])).
% 0.20/0.54 fof('mp_initial_time', axiom, (! [E] : (environment(E) => greater_or_equal(initial_FM_EP(E),start_time(E)))),
% 0.20/0.54 input).
% 0.20/0.54 fof('mp_earliest_time_point_$sk', plain, (((greater_or_equal(X2,initial_FM_EP(X1)) | ~subpopulations(first_movers,efficient_producers,X1,X2)) & (subpopulations(first_movers,efficient_producers,X1,initial_FM_EP(X1)) | ~in_environment(X1,initial_FM_EP(X1)))) | ~environment(X1)),
% 0.20/0.54 inference(negpush_and_skolemize,[],['mp_earliest_time_point'])).
% 0.20/0.54 fof('mp_earliest_time_point', axiom, (! [E,T] : (environment(E) => ((in_environment(E,initial_FM_EP(E)) => subpopulations(first_movers,efficient_producers,E,initial_FM_EP(E))) & (subpopulations(first_movers,efficient_producers,E,T) => greater_or_equal(T,initial_FM_EP(E)))))),
% 0.20/0.54 input).
% 0.20/0.54 fof('mp_greater_or_equal_$sk', plain, (((X2 = X1) | greater(X2,X1)) | ~greater_or_equal(X2,X1)),
% 0.20/0.54 inference(negpush_and_skolemize,[],['mp_greater_or_equal'])).
% 0.20/0.54 fof('mp_greater_or_equal', axiom, (! [X,Y] : (greater_or_equal(X,Y) => (greater(X,Y) | (X = Y)))),
% 0.20/0.54 input).
% 0.20/0.54 fof('mp_time_point_occurs_$sk', plain, (in_environment(X2,X1) | (~subpopulations(first_movers,efficient_producers,X2,X1) | ~environment(X2))),
% 0.20/0.54 inference(negpush_and_skolemize,[],['mp_time_point_occurs'])).
% 0.20/0.54 fof('mp_time_point_occurs', axiom, (! [E,T] : ((environment(E) & subpopulations(first_movers,efficient_producers,E,T)) => in_environment(E,T))),
% 0.20/0.54 input).
% 0.20/0.54 fof('l3_$sk', plain, (~decreases(difference(disbanding_rate(first_movers,X2),disbanding_rate(efficient_producers,X2))) | (~subpopulations(first_movers,efficient_producers,X1,X2) | ~environment(X1))),
% 0.20/0.54 inference(negpush_and_skolemize,[],['l3'])).
% 0.20/0.54 fof('l3', axiom, (! [E,T] : ((environment(E) & subpopulations(first_movers,efficient_producers,E,T)) => ~decreases(difference(disbanding_rate(first_movers,T),disbanding_rate(efficient_producers,T))))),
% 0.20/0.54 input).
% 0.20/0.54 cnf('1', plain, (decreases(difference(disbanding_rate(first_movers,X),disbanding_rate(efficient_producers,X))) | ~greater(disbanding_rate(first_movers,Y),disbanding_rate(efficient_producers,Y)) | greater(disbanding_rate(first_movers,Z),disbanding_rate(efficient_producers,Z)) | ~subpopulations(first_movers,efficient_producers,U,Z) | ~greater_or_equal(X,Y) | ~greater_or_equal(Z,X) | ~environment(U)),
% 0.20/0.54 inference(cnf_transformation,[],['mp_positive_function_difference_$sk'])).
% 0.20/0.54 cnf('2', plain, (greater(disbanding_rate(first_movers,initial_FM_EP(X)),disbanding_rate(efficient_producers,initial_FM_EP(X))) | ~environment(X)),
% 0.20/0.54 inference(cnf_transformation,[],['a8_$sk'])).
% 0.20/0.54 cnf('3', plain, (environment($sk1)),
% 0.20/0.54 inference(cnf_transformation,[],['prove_l2_$sk'])).
% 0.20/0.54 cnf('4', plain, (greater(disbanding_rate(first_movers,initial_FM_EP($sk1)),disbanding_rate(efficient_producers,initial_FM_EP($sk1)))),
% 0.20/0.54 inference(resolution,[],['2','3'])).
% 0.20/0.54 cnf('5', plain, (decreases(difference(disbanding_rate(first_movers,X),disbanding_rate(efficient_producers,X))) | greater(disbanding_rate(first_movers,Y),disbanding_rate(efficient_producers,Y)) | ~subpopulations(first_movers,efficient_producers,Z,Y) | ~greater_or_equal(X,initial_FM_EP($sk1)) | ~greater_or_equal(Y,X) | ~environment(Z)),
% 0.20/0.54 inference(resolution,[],['1','4'])).
% 0.20/0.54 cnf('6', plain, (subpopulations(first_movers,efficient_producers,$sk1,$sk2)),
% 0.20/0.54 inference(cnf_transformation,[],['prove_l2_$sk'])).
% 0.20/0.54 cnf('7', plain, (~greater(disbanding_rate(first_movers,$sk2),disbanding_rate(efficient_producers,$sk2))),
% 0.20/0.54 inference(cnf_transformation,[],['prove_l2_$sk'])).
% 0.20/0.54 cnf('8', plain, (environment($sk1)),
% 0.20/0.54 inference(cnf_transformation,[],['prove_l2_$sk'])).
% 0.20/0.54 cnf('9', plain, (decreases(difference(disbanding_rate(first_movers,X),disbanding_rate(efficient_producers,X))) | ~greater_or_equal(X,initial_FM_EP($sk1)) | ~greater_or_equal($sk2,X)),
% 0.20/0.54 inference(resolution,[then_simplify],['5','6','7','8'])).
% 0.20/0.54 cnf('10', plain, (~greater_or_equal(X,start_time(Y)) | ~greater(Z,X) | ~in_environment(Y,Z) | in_environment(Y,X) | ~environment(Y)),
% 0.20/0.54 inference(cnf_transformation,[],['mp_times_in_order_$sk'])).
% 0.20/0.54 cnf('11', plain, (greater_or_equal(initial_FM_EP(X),start_time(X)) | ~environment(X)),
% 0.20/0.54 inference(cnf_transformation,[],['mp_initial_time_$sk'])).
% 0.20/0.54 cnf('12', plain, (greater_or_equal(initial_FM_EP($sk1),start_time($sk1))),
% 0.20/0.54 inference(resolution,[],['11','3'])).
% 0.20/0.54 cnf('13', plain, (in_environment($sk1,initial_FM_EP($sk1)) | ~greater(X,initial_FM_EP($sk1)) | ~in_environment($sk1,X)),
% 0.20/0.54 inference(resolution,[then_simplify],['10','12','8'])).
% 0.20/0.54 cnf('14', plain, (~subpopulations(first_movers,efficient_producers,X,Y) | greater_or_equal(Y,initial_FM_EP(X)) | ~environment(X)),
% 0.20/0.54 inference(cnf_transformation,[],['mp_earliest_time_point_$sk'])).
% 0.20/0.54 cnf('15', plain, (greater_or_equal($sk2,initial_FM_EP($sk1))),
% 0.20/0.54 inference(resolution,[then_simplify],['14','6','8'])).
% 0.20/0.54 cnf('16', plain, (~greater_or_equal(X,Y) | greater(X,Y) | X = Y),
% 0.20/0.54 inference(cnf_transformation,[],['mp_greater_or_equal_$sk'])).
% 0.20/0.54 cnf('17', plain, (greater($sk2,initial_FM_EP($sk1)) | $sk2 = initial_FM_EP($sk1)),
% 0.20/0.54 inference(resolution,[],['15','16'])).
% 0.20/0.54 cnf('18', plain, (~subpopulations(first_movers,efficient_producers,X,Y) | in_environment(X,Y) | ~environment(X)),
% 0.20/0.54 inference(cnf_transformation,[],['mp_time_point_occurs_$sk'])).
% 0.20/0.54 cnf('19', plain, (in_environment($sk1,$sk2)),
% 0.20/0.54 inference(resolution,[then_simplify],['18','6','8'])).
% 0.20/0.54 cnf('20', plain, (in_environment($sk1,initial_FM_EP($sk1)) | $sk2 = initial_FM_EP($sk1)),
% 0.20/0.54 inference(resolution,[then_simplify],['13','17','19'])).
% 0.20/0.54 cnf('21', plain, (subpopulations(first_movers,efficient_producers,X,initial_FM_EP(X)) | ~in_environment(X,initial_FM_EP(X)) | ~environment(X)),
% 0.20/0.54 inference(cnf_transformation,[],['mp_earliest_time_point_$sk'])).
% 0.20/0.54 cnf('22', plain, (subpopulations(first_movers,efficient_producers,$sk1,initial_FM_EP($sk1)) | $sk2 = initial_FM_EP($sk1)),
% 0.20/0.54 inference(resolution,[then_simplify],['20','21','8'])).
% 0.20/0.54 cnf('23', plain, (greater_or_equal(initial_FM_EP($sk1),initial_FM_EP($sk1)) | $sk2 = initial_FM_EP($sk1)),
% 0.20/0.54 inference(resolution,[then_simplify],['22','14','8'])).
% 0.20/0.54 cnf('24', plain, (greater_or_equal($sk2,initial_FM_EP($sk1))),
% 0.20/0.54 inference(resolution,[then_simplify],['14','6','8'])).
% 0.20/0.54 cnf('25', plain, (decreases(difference(disbanding_rate(first_movers,initial_FM_EP($sk1)),disbanding_rate(efficient_producers,initial_FM_EP($sk1)))) | $sk2 = initial_FM_EP($sk1)),
% 0.20/0.54 inference(resolution,[then_simplify],['9','23','24'])).
% 0.20/0.54 cnf('26', plain, (~decreases(difference(disbanding_rate(first_movers,X),disbanding_rate(efficient_producers,X))) | ~subpopulations(first_movers,efficient_producers,Y,X) | ~environment(Y)),
% 0.20/0.54 inference(cnf_transformation,[],['l3_$sk'])).
% 0.20/0.54 cnf('27', plain, ($sk2 = initial_FM_EP($sk1) | ~subpopulations(first_movers,efficient_producers,X,initial_FM_EP($sk1)) | ~environment(X)),
% 0.20/0.54 inference(resolution,[],['25','26'])).
% 0.20/0.54 cnf('28', plain, ($sk2 = initial_FM_EP($sk1)),
% 0.20/0.54 inference(resolution,[then_simplify],['27','22','8'])).
% 0.20/0.54 cnf('29', plain, (greater(disbanding_rate(first_movers,initial_FM_EP($sk1)),disbanding_rate(efficient_producers,$sk2))),
% 0.20/0.54 inference(paramodulation,[],['28','4'])).
% 0.20/0.54 cnf('30', plain, ($false),
% 0.20/0.54 inference(simplify,[then_simplify],['29','7','28'])).
% 0.20/0.54
% 0.20/0.54 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.54
% 0.20/0.54 run 5 fork 4 statistics:
% 0.20/0.54 ----------------------------------
% 0.20/0.54 this run seconds: 0.015971
% 0.20/0.54 total seconds: 0.040098
% 0.20/0.54 stat_given_used: 53
% 0.20/0.54 stat_given_used_at_endgame: 0
% 0.20/0.54 stat_given_candidates: 89
% 0.20/0.54 stat_given_candidates_at_endgame: 0
% 0.20/0.54 stat_given_candidates_h: 0
% 0.20/0.54 stat_binres_derived_cl: 49
% 0.20/0.54 stat_binres_derived_cl_h: 0
% 0.20/0.54 stat_factor_derived_cl: 10
% 0.20/0.54 stat_para_derived_cl: 52
% 0.20/0.54 stat_tautologies_discarded: 8
% 0.20/0.54 stat_forward_subsumed: 23
% 0.20/0.54 stat_derived_cut: 22
% 0.20/0.54 stat_derived_rewritten: 1
% 0.20/0.54 stat_weight_discarded_building: 0
% 0.20/0.54 stat_weight_discarded_cl: 0
% 0.20/0.54 stat_internlimit_discarded_cl: 0
% 0.20/0.54 stat_simplified: 3 simplified 0 derived 0 given
% 0.20/0.54 stat_kept_cl: 74
% 0.20/0.54 stat_built_cl: 182
% 0.20/0.54 stat_hyperres_partial_cl: 0
% 0.20/0.54 stat_made_rewriters: 1
% 0.20/0.54 stat_backward_subsumed: 0
% 0.20/0.54 stat_propagated_subsumed: 0
% 0.20/0.54 stat_clsubs_attempted: 69
% 0.20/0.54 stat_clsubs_fact_groundunit_found: 2
% 0.20/0.54 stat_clsubs_rule_groundunit_found: 1
% 0.20/0.54 stat_clsubs_top_meta_attempted: 1540
% 0.20/0.54 stat_clsubs_top_meta_failed: 1471
% 0.20/0.54 stat_clsubs_top_meta_nonpref_attempted: 1540
% 0.20/0.54 stat_clsubs_top_meta_nonpref_succeeded: 414
% 0.20/0.54 stat_clsubs_top_meta_pref_attempted: 414
% 0.20/0.54 stat_clsubs_top_meta_pref1_succeeded: 132
% 0.20/0.54 stat_clsubs_top_meta_pref2_succeeded: 85
% 0.20/0.54 stat_clsubs_top_meta_pref3_succeeded: 69
% 0.20/0.54 stat_clsubs_top_meta_pref_succeeded: 69
% 0.20/0.54 stat_clsubs_meta_attempted: 270
% 0.20/0.54 stat_clsubs_meta_failed: 90
% 0.20/0.54 stat_clsubs_predsymbs_attempted: 0
% 0.20/0.54 stat_clsubs_unit_attempted: 0
% 0.20/0.54 stat_clsubs_full_attempted: 69
% 0.20/0.54 stat_forwardsubs_attempted: 97
% 0.20/0.54 stat_lit_hash_added: 62
% 0.20/0.54 stat_lit_hash_computed: 1054
% 0.20/0.54 stat_lit_hash_match_found: 49
% 0.20/0.54 stat_lit_hash_match_miss: 1439
% 0.20/0.54 stat_lit_hash_cut_ok: 24
% 0.20/0.54 stat_lit_strong_cut_ok: 0
% 0.20/0.54 stat_lit_hash_subsume_ok: 23
% 0.20/0.54 clqueue els 10000000 used 1
% 0.20/0.54 clactive els 10000000 used 54
% 0.20/0.54 clactivesubsume els 10000000 used 259
% 0.20/0.54 queue_termbuf els 200000000 used 4635
% 0.20/0.54 hyper_termbuf els 100000000 used 1
% 0.20/0.54 active_termbuf els 100000000 used 2402
% 0.20/0.54 varstack els 5000 last used 1
% 0.20/0.54 given_termbuf els 10000000 last used 1
% 0.20/0.54 simplified_termbuf els 10000000 last used 1
% 0.20/0.54 derived_termbuf els 10000000 last used 3
% 0.20/0.54 wr_mallocs: 531
% 0.20/0.54 wr_callocs: 21
% 0.20/0.54 wr_reallocs: 13
% 0.20/0.54 wr_frees: 2
% 0.20/0.54 wr_malloc_bytes: 4162596356
% 0.20/0.54 wr_calloc_bytes: 112065536
% 0.20/0.54 wr_realloc_bytes: 1608
% 0.20/0.54 wr_realloc_freebytes: 0
% 0.20/0.54 ----------------------------------
%------------------------------------------------------------------------------