%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : MGT034+2 : TPTP v9.3.0. Released v2.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n007.cluster.edu
% Model : x86_64 x86_64
% CPU : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory : 8046.5625MB
% OS : Linux 6.8.0-71-generic
% CPULimit : 300s
% WCLimit : 300s
% DateTime : Tue Sep 8 06:10:43 AM UTC 2026
% Result : Theorem 0.70s 0.64s
% Output : CNFRefutation 0.70s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.03 % Problem : MGT034+2 : TPTP v9.3.0. Released v2.0.0.
% 0.00/0.04 % Command : gkc %s
% 0.08/0.35 % Computer : n007.cluster.edu
% 0.08/0.35 % Model : x86_64 x86_64
% 0.08/0.35 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.08/0.35 % Memory : 8046.5625MB
% 0.08/0.35 % OS : Linux 6.8.0-71-generic
% 0.08/0.35 % CPULimit : 300
% 0.08/0.35 % WCLimit : 300
% 0.08/0.35 % DateTime : Mon Sep 7 12:29:25 UTC 2026
% 0.08/0.35 % CPUTime :
% 0.23/0.48
% 0.23/0.48 input clause set summed statistics:
% 0.23/0.48 ----------------------------------
% 0.23/0.48 in_clause_count: 30
% 0.23/0.48 in_rule_clause_count: 29
% 0.23/0.48 in_fact_clause_count: 1
% 0.23/0.48 in_answer_clause_count: 0
% 0.23/0.48 in_ground_clause_count: 5
% 0.23/0.48 in_unit_clause_count: 5
% 0.23/0.48 in_horn_clause_count: 27
% 0.23/0.48 in_pos_clause_count: 4
% 0.23/0.48 in_neg_clause_count: 3
% 0.23/0.48 in_poseq_clause_count: 1
% 0.23/0.48 in_negeq_clause_count: 3
% 0.23/0.48 in_unitposeq_clause_count: 0
% 0.23/0.48 in_chain_clause_count: 0
% 0.23/0.48 in_min_length: 1
% 0.23/0.48 in_max_length: 7
% 0.23/0.48 in_min_depth: 1
% 0.23/0.48 in_max_depth: 3
% 0.23/0.48 in_min_size: 2
% 0.23/0.48 in_max_size: 39
% 0.23/0.48 in_min_vars: 0
% 0.23/0.48 in_max_vars: 4
% 0.23/0.48 in_extaxiom_count: 0
% 0.23/0.48 in_axiom_count: 21
% 0.23/0.48 in_assumption_count: 4
% 0.23/0.48 in_goal_count: 5
% 0.23/0.48 in_neg_goal_count: 1
% 0.23/0.48 in_pos_goal_count: 4
% 0.23/0.48 in_posunit_goal_count: 4
% 0.23/0.48
% 0.23/0.48 auto guide:
% 0.23/0.48 -----------
% 0.23/0.48 {
% 0.23/0.48 "print":1,
% 0.23/0.48 "print_level": 15,
% 0.23/0.48 "max_size": 0,
% 0.23/0.48 "max_depth": 0,
% 0.23/0.48 "max_length": 0,
% 0.23/0.48 "max_dseconds": 0,
% 0.23/0.48 "runs":[
% 0.23/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.23/0.48 {"max_dseconds":1, "sine":5, "strategy":["negative_pref"], "query_preference":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.23/0.48 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.23/0.48 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.23/0.48 {"max_dseconds":1, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.23/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.23/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.23/0.48 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_deep_para"], "query_preference":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.23/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.23/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.23/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.23/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.23/0.48 {"max_dseconds":1, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.23/0.48 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.23/0.48 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.23/0.48 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para","prohibit_unordered_para"], "query_preference":1, "reverse_clauselist":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.23/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.23/0.48 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":0, "strategy":["query_focus", "posunitpara"], "max_dseconds":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":2},
% 0.23/0.48 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":1},
% 0.23/0.48 {"weight_select_ratio":100, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "equality":0},
% 0.23/0.48 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.23/0.48 {"var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["positive_pref"], "max_dseconds":1},
% 0.23/0.48 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.23/0.48 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1, "max_size":17},
% 0.23/0.48 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.23/0.48 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.23/0.48 {"max_dseconds":1, "sine":5, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.23/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.23/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.23/0.48 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "max_size":30, "max_depth":10, "max_weight":300, "weight_select_ratio":1, "rewrite":0},
% 0.23/0.48 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.23/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":2},
% 0.23/0.48 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.23/0.48 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.23/0.48 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "rewrite":0},
% 0.23/0.48 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "rewrite":0},
% 0.23/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.23/0.48 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":2},
% 0.23/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "length_penalty":100},
% 0.23/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":3},
% 0.23/0.48 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":30, "depth_penalty":100},
% 0.23/0.48 {"max_dseconds":1, "strategy":["negative_pref", "posunitpara"], "query_preference":1, "max_depth":2, "depth_penalty":50, "length_penalty":100},
% 0.23/0.48 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "query_preference":0},
% 0.23/0.48 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":1},
% 0.23/0.48 {"depth_penalty":50, "query_preference":2, "strategy":["negative_pref"], "max_dseconds":1},
% 0.23/0.48 {"max_depth":0, "length_penalty":100, "query_preference":2, "strategy":["hardness_pref", "posunitpara"], "max_dseconds":1},
% 0.23/0.48 {"weight_select_ratio":100, "query_preference":1, "strategy":["negative_pref"], "max_dseconds":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "max_depth":2},
% 0.23/0.48 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.23/0.48 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "weight_select_ratio":1, "query_preference":0},
% 0.23/0.48 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.23/0.48 {"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},
% 0.23/0.48 {"max_depth":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.23/0.48 {"depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.23/0.48 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":0, "depth_penalty":50, "length_penalty":100},
% 0.23/0.48 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.23/0.48 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.23/0.49 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.23/0.49 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "max_depth":2},
% 0.23/0.49 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.23/0.49 {"max_dseconds":1, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.23/0.49 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.23/0.49 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight","prohibit_unordered_para"], "max_dseconds":1},
% 0.23/0.49 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.23/0.49 {"max_dseconds":1, "strategy":["query_focus", "posunitpara"], "query_preference":1, "depth_penalty":50, "length_penalty":100},
% 0.23/0.49 {"depth_penalty":50, "query_preference":1, "strategy":["hardness_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.23/0.49 {"rewrite":0, "depth_penalty":50, "query_preference":1, "strategy":["query_focus", "hornpref"], "max_dseconds":1},
% 0.23/0.49 {"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},
% 0.23/0.49 {"query_preference":1, "strategy":["unit", "max_weight"], "max_dseconds":1},
% 0.23/0.49 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "weight_select_ratio":30, "depth_penalty":100, "length_penalty":100},
% 0.23/0.49 {"length_penalty":100, "query_preference":1, "strategy":["positive_pref", "posunitpara"], "max_dseconds":1},
% 0.23/0.49 {"weight_select_ratio":100, "rewrite":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.23/0.49
% 0.23/0.49 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.23/0.49 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.23/0.49 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.23/0.49 {"max_dseconds":10, "sine":5, "strategy":["negative_pref"], "query_preference":1},
% 0.23/0.49 {"max_dseconds":10, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.23/0.49 {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.23/0.49 {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.23/0.49 {"max_dseconds":10, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.23/0.49 {"max_dseconds":10, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.23/0.49 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.23/0.49 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.23/0.49 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":1},
% 0.23/0.49 {"max_dseconds":10, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":1},
% 0.23/0.49 {"max_dseconds":10, "strategy":["hardness_pref","prohibit_deep_para"], "query_preference":1},
% 0.23/0.49 {"max_dseconds":10, "strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.23/0.49 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.23/0.49 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.23/0.49 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.23/0.49 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.23/0.49 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.23/0.49 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.23/0.49 {"max_dseconds":10, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.23/0.49 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.23/0.49 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.23/0.49 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.23/0.49 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.23/0.49 {"max_dseconds":10, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.23/0.49 {"max_dseconds":10, "strategy":["unit", "prohibit_nested_para","prohibit_unordered_para"], "query_preference":1, "reverse_clauselist":1},
% 0.23/0.49 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.23/0.49 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.23/0.49 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":0, "strategy":["query_focus", "posunitpara"], "max_dseconds":10},
% 0.23/0.49 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "max_depth":2},
% 0.23/0.49 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":10},
% 0.23/0.49 {"weight_select_ratio":100, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":10},
% 0.23/0.49 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "equality":0},
% 0.23/0.49 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.23/0.49 {"var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["positive_pref"], "max_dseconds":10},
% 0.23/0.49 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.23/0.49 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.23/0.49 {"max_dseconds":10, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1, "max_size":17},
% 0.23/0.49 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.23/0.49 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.23/0.49 {"max_dseconds":10, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.23/0.49 {"max_dseconds":10, "sine":5, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.23/0.49 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.23/0.49 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.23/0.49 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.23/0.49 {"max_dseconds":10, "strategy":["unit", "pure_unit"], "max_size":30, "max_depth":10, "max_weight":300, "weight_select_ratio":1, "rewrite":0},
% 0.23/0.49 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.23/0.49 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":2},
% 0.23/0.49 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.23/0.49 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
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% 0.23/0.49 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "rewrite":0}
% 0.23/0.49
% 0.23/0.49 ]}
% 0.23/0.49
% 0.23/0.49
% 0.23/0.49 **** run 1 fork 0 starts with strategy
% 0.23/0.49 {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.23/0.49
% 0.23/0.49 **** run 2 fork 1 starts with strategy
% 0.23/0.49 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.23/0.49
% 0.23/0.49 **** run 3 fork 2 starts with strategy
% 0.23/0.49 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1}
% 0.23/0.50
% 0.23/0.50 **** run 4 fork 3 starts with strategy
% 0.23/0.50 {"max_dseconds":1,"sine":5,"strategy":["negative_pref"],"query_preference":1}
% 0.23/0.50
% 0.23/0.50 **** run 5 fork 4 starts with strategy
% 0.23/0.50 {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para"],"query_preference":0}
% 0.23/0.50
% 0.23/0.50 **** run 6 fork 5 starts with strategy
% 0.23/0.50 {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":0}
% 0.23/0.51
% 0.23/0.51 **** run 7 fork 6 starts with strategy
% 0.23/0.51 {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":1}
% 0.23/0.51
% 0.23/0.51 **** run 8 fork 7 starts with strategy
% 0.23/0.51 {"max_dseconds":1,"strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"],"query_preference":0}
% 0.23/0.52
% 0.23/0.52 fork 0: search finished without proof.
% 0.23/0.52
% 0.23/0.52 fork 3: search finished without proof.
% 0.23/0.53
% 0.23/0.53 fork 5: search finished without proof.
% 0.23/0.53
% 0.23/0.53 fork 6: search finished without proof.
% 0.23/0.55
% 0.23/0.55 fork 7: search finished without proof.
% 0.23/0.56
% 0.23/0.56 **** run 12 fork 3 starts with strategy
% 0.23/0.56 {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":1}
% 0.70/0.59
% 0.70/0.59 **** run 9 fork 0 starts with strategy
% 0.70/0.59 {"max_dseconds":1,"strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"],"query_preference":0}
% 0.70/0.60
% 0.70/0.60
% 0.70/0.60 fork 1: search terminated without proof.
% 0.70/0.61
% 0.70/0.61 **** run 15 fork 6 starts with strategy
% 0.70/0.61 {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"],"query_preference":0}
% 0.70/0.63
% 0.70/0.63 **** run 14 fork 5 starts with strategy
% 0.70/0.63 {"max_dseconds":1,"strategy":["hardness_pref","prohibit_deep_para"],"query_preference":1}
% 0.70/0.63
% 0.70/0.63 **** run 16 fork 7 starts with strategy
% 0.70/0.63 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"weight_select_ratio":100,"depth_penalty":100,"length_penalty":100}
% 0.70/0.64
% 0.70/0.64
% 0.70/0.64 result: proof found
% 0.70/0.64 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.70/0.64 by run 3 fork 2 strategy {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1}
% 0.70/0.64 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.70/0.64
% 0.70/0.64 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.70/0.64 fof('mp_relationship_of_growth_rates_$sk', plain, (greater_or_equal(difference(growth_rate(first_movers,X2),growth_rate(efficient_producers,X2)),zero) | (greater(zero,difference(growth_rate(first_movers,X2),growth_rate(efficient_producers,X2))) | (~subpopulations(first_movers,efficient_producers,X1,X2) | ~environment(X1)))),
% 0.70/0.64 inference(negpush_and_skolemize,[],['mp_relationship_of_growth_rates'])).
% 0.70/0.64 fof('mp_relationship_of_growth_rates', axiom, (! [E,T] : (((environment(E) & subpopulations(first_movers,efficient_producers,E,T)) & ~greater(zero,difference(growth_rate(first_movers,T),growth_rate(efficient_producers,T)))) => greater_or_equal(difference(growth_rate(first_movers,T),growth_rate(efficient_producers,T)),zero))),
% 0.70/0.64 input).
% 0.70/0.64 fof('mp_critical_point_means_FM_and_EP_$sk', plain, (subpopulations(first_movers,efficient_producers,X1,critical_point(X1)) | (~in_environment(X1,critical_point(X1)) | ~environment(X1))),
% 0.70/0.64 inference(negpush_and_skolemize,[],['mp_critical_point_means_FM_and_EP'])).
% 0.70/0.64 fof('mp_critical_point_means_FM_and_EP', axiom, (! [E] : ((environment(E) & in_environment(E,critical_point(E))) => subpopulations(first_movers,efficient_producers,E,critical_point(E)))),
% 0.70/0.64 input).
% 0.70/0.64 fof('prove_t3_$sk', plain, (~selection_favors(first_movers,efficient_producers,$sk2) & (greater(critical_point($sk1),$sk2) & (greater_or_equal($sk2,appear(efficient_producers,$sk1)) & (in_environment($sk1,critical_point($sk1)) & environment($sk1))))),
% 0.70/0.64 inference(negpush_and_skolemize,[],['prove_t3'])).
% 0.70/0.64 fof('prove_t3', conjecture, (! [E,T] : ((((environment(E) & in_environment(E,critical_point(E))) & greater_or_equal(T,appear(efficient_producers,E))) & greater(critical_point(E),T)) => selection_favors(first_movers,efficient_producers,T))),
% 0.70/0.64 input).
% 0.70/0.64 fof('mp_decreasing_function_$sk', plain, ((greater(difference(growth_rate(first_movers,X3),growth_rate(efficient_producers,X3)),zero) | ~decreases(difference(growth_rate(first_movers,X3),growth_rate(efficient_producers,X3)))) | (~greater(X1,X3) | (~greater_or_equal(X3,appear(efficient_producers,X2)) | (~greater_or_equal(difference(growth_rate(first_movers,X1),growth_rate(efficient_producers,X1)),zero) | (~in_environment(X2,X1) | ~environment(X2)))))),
% 0.70/0.64 inference(negpush_and_skolemize,[],['mp_decreasing_function'])).
% 0.70/0.64 fof('mp_decreasing_function', axiom, (! [E,T,To] : (((((environment(E) & in_environment(E,To)) & greater_or_equal(difference(growth_rate(first_movers,To),growth_rate(efficient_producers,To)),zero)) & greater_or_equal(T,appear(efficient_producers,E))) & greater(To,T)) => (decreases(difference(growth_rate(first_movers,T),growth_rate(efficient_producers,T))) => greater(difference(growth_rate(first_movers,T),growth_rate(efficient_producers,T)),zero)))),
% 0.70/0.64 input).
% 0.70/0.64 fof('mp_critical_time_points_$sk', plain, (in_environment(X2,X1) | (~greater(critical_point(X2),X1) | (~greater_or_equal(X1,appear(efficient_producers,X2)) | (~in_environment(X2,critical_point(X2)) | ~environment(X2))))),
% 0.70/0.64 inference(negpush_and_skolemize,[],['mp_critical_time_points'])).
% 0.70/0.64 fof('mp_critical_time_points', axiom, (! [E,T] : ((((environment(E) & in_environment(E,critical_point(E))) & greater_or_equal(T,appear(efficient_producers,E))) & greater(critical_point(E),T)) => in_environment(E,T))),
% 0.70/0.64 input).
% 0.70/0.64 fof('mp_greater_or_equal_$sk', plain, ((~greater_or_equal(X2,X1) | ((X2 = X1) | greater(X2,X1))) & (greater_or_equal(X4,X3) | (~(X4 = X3) & ~greater(X4,X3)))),
% 0.70/0.64 inference(negpush_and_skolemize,[],['mp_greater_or_equal'])).
% 0.70/0.64 fof('mp_greater_or_equal', axiom, (! [X,Y] : (greater_or_equal(X,Y) <=> (greater(X,Y) | (X = Y)))),
% 0.70/0.64 input).
% 0.70/0.64 fof('mp_FM_and_EP_members_EP_appeared_$sk', plain, (greater_or_equal(X2,appear(efficient_producers,X1)) | (~subpopulations(first_movers,efficient_producers,X1,X2) | ~environment(X1))),
% 0.70/0.64 inference(negpush_and_skolemize,[],['mp_FM_and_EP_members_EP_appeared'])).
% 0.70/0.64 fof('mp_FM_and_EP_members_EP_appeared', axiom, (! [E,T] : ((environment(E) & subpopulations(first_movers,efficient_producers,E,T)) => greater_or_equal(T,appear(efficient_producers,E)))),
% 0.70/0.64 input).
% 0.70/0.64 fof('mp_durations_are_time_intervals_$sk', plain, (in_environment(X4,X3) | (~greater_or_equal(X3,X1) | (~greater_or_equal(X2,X3) | (~in_environment(X4,X2) | (~in_environment(X4,X1) | ~environment(X4)))))),
% 0.70/0.64 inference(negpush_and_skolemize,[],['mp_durations_are_time_intervals'])).
% 0.70/0.64 fof('mp_durations_are_time_intervals', axiom, (! [E,T1,T2,T] : (((((environment(E) & in_environment(E,T1)) & in_environment(E,T2)) & greater_or_equal(T2,T)) & greater_or_equal(T,T1)) => in_environment(E,T))),
% 0.70/0.64 input).
% 0.70/0.64 fof('mp_FM_and_EP_when_EP_appears_$sk', plain, (subpopulations(first_movers,efficient_producers,X1,appear(efficient_producers,X1)) | (~in_environment(X1,appear(efficient_producers,X1)) | ~environment(X1))),
% 0.70/0.64 inference(negpush_and_skolemize,[],['mp_FM_and_EP_when_EP_appears'])).
% 0.70/0.64 fof('mp_FM_and_EP_when_EP_appears', axiom, (! [E] : ((environment(E) & in_environment(E,appear(efficient_producers,E))) => subpopulations(first_movers,efficient_producers,E,appear(efficient_producers,E)))),
% 0.70/0.64 input).
% 0.70/0.64 fof('a10_$sk', plain, (subpopulations(first_movers,efficient_producers,X4,X3) | (~greater_or_equal(X1,X3) | (~greater_or_equal(X3,X2) | (~subpopulations(first_movers,efficient_producers,X4,X1) | (~subpopulations(first_movers,efficient_producers,X4,X2) | ~environment(X4)))))),
% 0.70/0.64 inference(negpush_and_skolemize,[],['a10'])).
% 0.70/0.64 fof('a10', hypothesis, (! [E,T1,T2,T] : (((((environment(E) & subpopulations(first_movers,efficient_producers,E,T1)) & subpopulations(first_movers,efficient_producers,E,T2)) & greater_or_equal(T,T1)) & greater_or_equal(T2,T)) => subpopulations(first_movers,efficient_producers,E,T))),
% 0.70/0.64 input).
% 0.70/0.64 fof('a12_$sk', plain, (decreases(difference(founding_rate(first_movers,X2),founding_rate(efficient_producers,X2))) | (~subpopulations(first_movers,efficient_producers,X1,X2) | ~environment(X1))),
% 0.70/0.64 inference(negpush_and_skolemize,[],['a12'])).
% 0.70/0.64 fof('a12', hypothesis, (! [E,T] : ((environment(E) & subpopulations(first_movers,efficient_producers,E,T)) => decreases(difference(founding_rate(first_movers,T),founding_rate(efficient_producers,T))))),
% 0.70/0.64 input).
% 0.70/0.64 fof('mp_difference_between_founding_rates_$sk', plain, (decreases(difference(growth_rate(first_movers,X1),growth_rate(efficient_producers,X1))) | (decreases(difference(disbanding_rate(first_movers,X1),disbanding_rate(efficient_producers,X1))) | ~decreases(difference(founding_rate(first_movers,X1),founding_rate(efficient_producers,X1))))),
% 0.70/0.64 inference(negpush_and_skolemize,[],['mp_difference_between_founding_rates'])).
% 0.70/0.64 fof('mp_difference_between_founding_rates', axiom, (! [T] : ((decreases(difference(founding_rate(first_movers,T),founding_rate(efficient_producers,T))) & ~decreases(difference(disbanding_rate(first_movers,T),disbanding_rate(efficient_producers,T)))) => decreases(difference(growth_rate(first_movers,T),growth_rate(efficient_producers,T))))),
% 0.70/0.64 input).
% 0.70/0.64 fof('l3_$sk', plain, (~decreases(difference(disbanding_rate(first_movers,X2),disbanding_rate(efficient_producers,X2))) | (~subpopulations(first_movers,efficient_producers,X1,X2) | ~environment(X1))),
% 0.70/0.64 inference(negpush_and_skolemize,[],['l3'])).
% 0.70/0.64 fof('l3', axiom, (! [E,T] : ((environment(E) & subpopulations(first_movers,efficient_producers,E,T)) => ~decreases(difference(disbanding_rate(first_movers,T),disbanding_rate(efficient_producers,T))))),
% 0.70/0.64 input).
% 0.70/0.64 fof('mp_negative_growth_rate_difference_$sk', plain, ((~greater(zero,difference(growth_rate(first_movers,X1),growth_rate(efficient_producers,X1))) | greater(growth_rate(efficient_producers,X1),growth_rate(first_movers,X1))) & (greater(zero,difference(growth_rate(first_movers,X2),growth_rate(efficient_producers,X2))) | ~greater(growth_rate(efficient_producers,X2),growth_rate(first_movers,X2)))),
% 0.70/0.64 inference(negpush_and_skolemize,[],['mp_negative_growth_rate_difference'])).
% 0.70/0.64 fof('mp_negative_growth_rate_difference', axiom, (! [T] : (greater(zero,difference(growth_rate(first_movers,T),growth_rate(efficient_producers,T))) <=> greater(growth_rate(efficient_producers,T),growth_rate(first_movers,T)))),
% 0.70/0.64 input).
% 0.70/0.64 fof('mp_positive_growth_rate_difference_$sk', plain, ((~greater(difference(growth_rate(first_movers,X1),growth_rate(efficient_producers,X1)),zero) | greater(growth_rate(first_movers,X1),growth_rate(efficient_producers,X1))) & (greater(difference(growth_rate(first_movers,X2),growth_rate(efficient_producers,X2)),zero) | ~greater(growth_rate(first_movers,X2),growth_rate(efficient_producers,X2)))),
% 0.70/0.64 inference(negpush_and_skolemize,[],['mp_positive_growth_rate_difference'])).
% 0.70/0.64 fof('mp_positive_growth_rate_difference', axiom, (! [T] : (greater(difference(growth_rate(first_movers,T),growth_rate(efficient_producers,T)),zero) <=> greater(growth_rate(first_movers,T),growth_rate(efficient_producers,T)))),
% 0.70/0.64 input).
% 0.70/0.64 fof('d1_$sk', plain, (((greater(growth_rate(efficient_producers,X3),growth_rate(first_movers,X3)) | (~greater(X3,X2) | ~subpopulations(first_movers,efficient_producers,X1,X3))) & ~greater(growth_rate(efficient_producers,X2),growth_rate(first_movers,X2))) | (~(X2 = critical_point(X1)) | ~environment(X1))),
% 0.70/0.64 inference(negpush_and_skolemize,[],['d1'])).
% 0.70/0.64 fof('d1', hypothesis, (! [E,Tc] : ((environment(E) & (Tc = critical_point(E))) => (~greater(growth_rate(efficient_producers,Tc),growth_rate(first_movers,Tc)) & (! [T] : ((subpopulations(first_movers,efficient_producers,E,T) & greater(T,Tc)) => greater(growth_rate(efficient_producers,T),growth_rate(first_movers,T))))))),
% 0.70/0.64 input).
% 0.70/0.64 fof('mp1_high_growth_rates_$sk', plain, (selection_favors(X4,X3,X2) | (~greater(growth_rate(X4,X2),growth_rate(X3,X2)) | (~subpopulations(X3,X4,X1,X2) | ~environment(X1)))),
% 0.70/0.64 inference(negpush_and_skolemize,[],['mp1_high_growth_rates'])).
% 0.70/0.64 fof('mp1_high_growth_rates', axiom, (! [E,S1,S2,T] : (((environment(E) & subpopulations(S1,S2,E,T)) & greater(growth_rate(S2,T),growth_rate(S1,T))) => selection_favors(S2,S1,T))),
% 0.70/0.64 input).
% 0.70/0.64 fof('mp_symmetry_of_subpopulations_$sk', plain, (subpopulations(efficient_producers,first_movers,X2,X1) | (~subpopulations(first_movers,efficient_producers,X2,X1) | ~environment(X2))),
% 0.70/0.64 inference(negpush_and_skolemize,[],['mp_symmetry_of_subpopulations'])).
% 0.70/0.64 fof('mp_symmetry_of_subpopulations', axiom, (! [E,T] : ((environment(E) & subpopulations(first_movers,efficient_producers,E,T)) => subpopulations(efficient_producers,first_movers,E,T))),
% 0.70/0.64 input).
% 0.70/0.64 cnf('1', plain, (greater(zero,difference(growth_rate(first_movers,X),growth_rate(efficient_producers,X))) | greater_or_equal(difference(growth_rate(first_movers,X),growth_rate(efficient_producers,X)),zero) | ~subpopulations(first_movers,efficient_producers,Y,X) | ~environment(Y)),
% 0.70/0.64 inference(cnf_transformation,[],['mp_relationship_of_growth_rates_$sk'])).
% 0.70/0.64 cnf('2', plain, (subpopulations(first_movers,efficient_producers,X,critical_point(X)) | ~in_environment(X,critical_point(X)) | ~environment(X)),
% 0.70/0.64 inference(cnf_transformation,[],['mp_critical_point_means_FM_and_EP_$sk'])).
% 0.70/0.64 cnf('3', plain, (in_environment($sk1,critical_point($sk1))),
% 0.70/0.64 inference(cnf_transformation,[],['prove_t3_$sk'])).
% 0.70/0.64 cnf('4', plain, (environment($sk1)),
% 0.70/0.64 inference(cnf_transformation,[],['prove_t3_$sk'])).
% 0.70/0.64 cnf('5', plain, (subpopulations(first_movers,efficient_producers,$sk1,critical_point($sk1))),
% 0.70/0.64 inference(resolution,[then_simplify],['2','3','4'])).
% 0.70/0.64 cnf('6', plain, (greater(zero,difference(growth_rate(first_movers,critical_point($sk1)),growth_rate(efficient_producers,critical_point($sk1)))) | greater_or_equal(difference(growth_rate(first_movers,critical_point($sk1)),growth_rate(efficient_producers,critical_point($sk1))),zero)),
% 0.70/0.64 inference(resolution,[then_simplify],['1','5','4'])).
% 0.70/0.64 cnf('7', plain, (~greater_or_equal(difference(growth_rate(first_movers,X),growth_rate(efficient_producers,X)),zero) | greater(difference(growth_rate(first_movers,Y),growth_rate(efficient_producers,Y)),zero) | ~decreases(difference(growth_rate(first_movers,Y),growth_rate(efficient_producers,Y))) | ~greater_or_equal(Y,appear(efficient_producers,Z)) | ~in_environment(Z,X) | ~greater(X,Y) | ~environment(Z)),
% 0.70/0.64 inference(cnf_transformation,[],['mp_decreasing_function_$sk'])).
% 0.70/0.64 cnf('8', plain, (greater(zero,difference(growth_rate(first_movers,critical_point($sk1)),growth_rate(efficient_producers,critical_point($sk1)))) | greater(difference(growth_rate(first_movers,X),growth_rate(efficient_producers,X)),zero) | ~decreases(difference(growth_rate(first_movers,X),growth_rate(efficient_producers,X))) | ~greater_or_equal(X,appear(efficient_producers,Y)) | ~greater(critical_point($sk1),X) | ~in_environment(Y,critical_point($sk1)) | ~environment(Y)),
% 0.70/0.64 inference(resolution,[],['6','7'])).
% 0.70/0.64 cnf('9', plain, (~greater_or_equal(X,appear(efficient_producers,Y)) | ~greater(critical_point(Y),X) | ~in_environment(Y,critical_point(Y)) | in_environment(Y,X) | ~environment(Y)),
% 0.70/0.64 inference(cnf_transformation,[],['mp_critical_time_points_$sk'])).
% 0.70/0.64 cnf('10', plain, (X != Y | greater_or_equal(X,Y)),
% 0.70/0.64 inference(cnf_transformation,[],['mp_greater_or_equal_$sk'])).
% 0.70/0.64 cnf('11', plain, (greater_or_equal(X,X)),
% 0.70/0.64 inference(reflexivity,[],['10'])).
% 0.70/0.64 cnf('12', plain, (~greater(critical_point(X),appear(efficient_producers,X)) | in_environment(X,appear(efficient_producers,X)) | ~in_environment(X,critical_point(X)) | ~environment(X)),
% 0.70/0.64 inference(resolution,[],['9','11'])).
% 0.70/0.64 cnf('13', plain, (greater_or_equal(X,appear(efficient_producers,Y)) | ~subpopulations(first_movers,efficient_producers,Y,X) | ~environment(Y)),
% 0.70/0.64 inference(cnf_transformation,[],['mp_FM_and_EP_members_EP_appeared_$sk'])).
% 0.70/0.64 cnf('14', plain, (greater_or_equal(critical_point($sk1),appear(efficient_producers,$sk1))),
% 0.70/0.64 inference(resolution,[then_simplify],['5','13','4'])).
% 0.70/0.64 cnf('15', plain, (~greater_or_equal(X,Y) | greater(X,Y) | X = Y),
% 0.70/0.64 inference(cnf_transformation,[],['mp_greater_or_equal_$sk'])).
% 0.70/0.64 cnf('16', plain, (greater(critical_point($sk1),appear(efficient_producers,$sk1)) | critical_point($sk1) = appear(efficient_producers,$sk1)),
% 0.70/0.64 inference(resolution,[],['14','15'])).
% 0.70/0.64 cnf('17', plain, (in_environment($sk1,critical_point($sk1))),
% 0.70/0.64 inference(cnf_transformation,[],['prove_t3_$sk'])).
% 0.70/0.64 cnf('18', plain, (critical_point($sk1) = appear(efficient_producers,$sk1) | in_environment($sk1,appear(efficient_producers,$sk1))),
% 0.70/0.64 inference(resolution,[then_simplify],['12','16','17','4'])).
% 0.70/0.64 cnf('19', plain, (greater_or_equal($sk2,appear(efficient_producers,$sk1))),
% 0.70/0.64 inference(cnf_transformation,[],['prove_t3_$sk'])).
% 0.70/0.64 cnf('20', plain, (greater(critical_point($sk1),$sk2)),
% 0.70/0.64 inference(cnf_transformation,[],['prove_t3_$sk'])).
% 0.70/0.64 cnf('21', plain, (in_environment($sk1,$sk2)),
% 0.70/0.64 inference(resolution,[then_simplify],['9','19','20','17','4'])).
% 0.70/0.64 cnf('22', plain, (~greater_or_equal(X,Y) | ~greater_or_equal(Y,Z) | ~in_environment(U,X) | ~in_environment(U,Z) | in_environment(U,Y) | ~environment(U)),
% 0.70/0.64 inference(cnf_transformation,[],['mp_durations_are_time_intervals_$sk'])).
% 0.70/0.64 cnf('23', plain, (environment($sk1)),
% 0.70/0.64 inference(cnf_transformation,[],['prove_t3_$sk'])).
% 0.70/0.64 cnf('24', plain, (~in_environment($sk1,X) | ~in_environment($sk1,Y) | in_environment($sk1,Z) | ~greater_or_equal(Z,X) | ~greater_or_equal(Y,Z)),
% 0.70/0.64 inference(resolution,[],['22','23'])).
% 0.70/0.64 cnf('25', plain, (~in_environment($sk1,X) | in_environment($sk1,Y) | ~greater_or_equal(Y,X) | ~greater_or_equal(X,Y)),
% 0.70/0.64 inference(factorization,[],['24'])).
% 0.70/0.64 cnf('26', plain, (~greater_or_equal($sk2,X) | in_environment($sk1,X) | ~greater_or_equal(X,$sk2)),
% 0.70/0.64 inference(resolution,[],['21','25'])).
% 0.70/0.64 cnf('27', plain, (~greater_or_equal(appear(efficient_producers,$sk1),$sk2) | in_environment($sk1,appear(efficient_producers,$sk1))),
% 0.70/0.64 inference(resolution,[],['26','19'])).
% 0.70/0.64 cnf('28', plain, (~greater(X,Y) | greater_or_equal(X,Y)),
% 0.70/0.64 inference(cnf_transformation,[],['mp_greater_or_equal_$sk'])).
% 0.70/0.64 cnf('29', plain, (greater(critical_point($sk1),$sk2)),
% 0.70/0.64 inference(cnf_transformation,[],['prove_t3_$sk'])).
% 0.70/0.64 cnf('30', plain, (greater_or_equal(critical_point($sk1),$sk2)),
% 0.70/0.64 inference(resolution,[],['28','29'])).
% 0.70/0.64 cnf('31', plain, (in_environment($sk1,appear(efficient_producers,$sk1))),
% 0.70/0.64 inference(paramodulation,[then_simplify],['18','27','30'])).
% 0.70/0.64 cnf('32', plain, (subpopulations(first_movers,efficient_producers,X,appear(efficient_producers,X)) | ~in_environment(X,appear(efficient_producers,X)) | ~environment(X)),
% 0.70/0.64 inference(cnf_transformation,[],['mp_FM_and_EP_when_EP_appears_$sk'])).
% 0.70/0.64 cnf('33', plain, (subpopulations(first_movers,efficient_producers,$sk1,appear(efficient_producers,$sk1))),
% 0.70/0.64 inference(resolution,[then_simplify],['31','32','4'])).
% 0.70/0.64 cnf('34', plain, (~subpopulations(first_movers,efficient_producers,X,Y) | ~subpopulations(first_movers,efficient_producers,X,Z) | subpopulations(first_movers,efficient_producers,X,U) | ~greater_or_equal(Z,U) | ~greater_or_equal(U,Y) | ~environment(X)),
% 0.70/0.64 inference(cnf_transformation,[],['a10_$sk'])).
% 0.70/0.64 cnf('35', plain, (~greater_or_equal(X,appear(efficient_producers,$sk1)) | ~subpopulations(first_movers,efficient_producers,$sk1,Y) | subpopulations(first_movers,efficient_producers,$sk1,X) | ~greater_or_equal(Y,X)),
% 0.70/0.64 inference(resolution,[then_simplify],['33','34','4'])).
% 0.70/0.64 cnf('36', plain, (subpopulations(first_movers,efficient_producers,$sk1,$sk2) | ~subpopulations(first_movers,efficient_producers,$sk1,X) | ~greater_or_equal(X,$sk2)),
% 0.70/0.64 inference(resolution,[],['35','19'])).
% 0.70/0.64 cnf('37', plain, (subpopulations(first_movers,efficient_producers,$sk1,$sk2)),
% 0.70/0.64 inference(resolution,[then_simplify],['36','5','30'])).
% 0.70/0.64 cnf('38', plain, (decreases(difference(founding_rate(first_movers,X),founding_rate(efficient_producers,X))) | ~subpopulations(first_movers,efficient_producers,Y,X) | ~environment(Y)),
% 0.70/0.64 inference(cnf_transformation,[],['a12_$sk'])).
% 0.70/0.64 cnf('39', plain, (decreases(difference(founding_rate(first_movers,$sk2),founding_rate(efficient_producers,$sk2)))),
% 0.70/0.64 inference(resolution,[then_simplify],['37','38','4'])).
% 0.70/0.64 cnf('40', plain, (~decreases(difference(founding_rate(first_movers,X),founding_rate(efficient_producers,X))) | decreases(difference(disbanding_rate(first_movers,X),disbanding_rate(efficient_producers,X))) | decreases(difference(growth_rate(first_movers,X),growth_rate(efficient_producers,X)))),
% 0.70/0.64 inference(cnf_transformation,[],['mp_difference_between_founding_rates_$sk'])).
% 0.70/0.64 cnf('41', plain, (decreases(difference(growth_rate(first_movers,$sk2),growth_rate(efficient_producers,$sk2))) | decreases(difference(disbanding_rate(first_movers,$sk2),disbanding_rate(efficient_producers,$sk2)))),
% 0.70/0.64 inference(resolution,[],['39','40'])).
% 0.70/0.64 cnf('42', plain, (~decreases(difference(disbanding_rate(first_movers,X),disbanding_rate(efficient_producers,X))) | ~subpopulations(first_movers,efficient_producers,Y,X) | ~environment(Y)),
% 0.70/0.64 inference(cnf_transformation,[],['l3_$sk'])).
% 0.70/0.64 cnf('43', plain, (decreases(difference(growth_rate(first_movers,$sk2),growth_rate(efficient_producers,$sk2))) | ~subpopulations(first_movers,efficient_producers,X,$sk2) | ~environment(X)),
% 0.70/0.64 inference(resolution,[],['41','42'])).
% 0.70/0.64 cnf('44', plain, (decreases(difference(growth_rate(first_movers,$sk2),growth_rate(efficient_producers,$sk2)))),
% 0.70/0.64 inference(resolution,[then_simplify],['43','37','4'])).
% 0.70/0.64 cnf('45', plain, (greater(zero,difference(growth_rate(first_movers,critical_point($sk1)),growth_rate(efficient_producers,critical_point($sk1)))) | greater(difference(growth_rate(first_movers,$sk2),growth_rate(efficient_producers,$sk2)),zero) | ~greater_or_equal($sk2,appear(efficient_producers,X)) | ~in_environment(X,critical_point($sk1)) | ~environment(X)),
% 0.70/0.64 inference(resolution,[then_simplify],['8','44','20'])).
% 0.70/0.64 cnf('46', plain, (greater(zero,difference(growth_rate(first_movers,critical_point($sk1)),growth_rate(efficient_producers,critical_point($sk1)))) | greater(difference(growth_rate(first_movers,$sk2),growth_rate(efficient_producers,$sk2)),zero)),
% 0.70/0.64 inference(resolution,[then_simplify],['45','19','17','4'])).
% 0.70/0.64 cnf('47', plain, (~greater(zero,difference(growth_rate(first_movers,X),growth_rate(efficient_producers,X))) | greater(growth_rate(efficient_producers,X),growth_rate(first_movers,X))),
% 0.70/0.64 inference(cnf_transformation,[],['mp_negative_growth_rate_difference_$sk'])).
% 0.70/0.64 cnf('48', plain, (greater(difference(growth_rate(first_movers,$sk2),growth_rate(efficient_producers,$sk2)),zero) | greater(growth_rate(efficient_producers,critical_point($sk1)),growth_rate(first_movers,critical_point($sk1)))),
% 0.70/0.64 inference(resolution,[],['46','47'])).
% 0.70/0.64 cnf('49', plain, (~greater(difference(growth_rate(first_movers,X),growth_rate(efficient_producers,X)),zero) | greater(growth_rate(first_movers,X),growth_rate(efficient_producers,X))),
% 0.70/0.64 inference(cnf_transformation,[],['mp_positive_growth_rate_difference_$sk'])).
% 0.70/0.64 cnf('50', plain, (greater(growth_rate(efficient_producers,critical_point($sk1)),growth_rate(first_movers,critical_point($sk1))) | greater(growth_rate(first_movers,$sk2),growth_rate(efficient_producers,$sk2))),
% 0.70/0.64 inference(resolution,[],['48','49'])).
% 0.70/0.64 cnf('51', plain, (~greater(growth_rate(efficient_producers,X),growth_rate(first_movers,X)) | X != critical_point(Y) | ~environment(Y)),
% 0.70/0.64 inference(cnf_transformation,[],['d1_$sk'])).
% 0.70/0.64 cnf('52', plain, (~greater(growth_rate(efficient_producers,critical_point(X)),growth_rate(first_movers,critical_point(X))) | ~environment(X)),
% 0.70/0.64 inference(reflexivity,[],['51'])).
% 0.70/0.64 cnf('53', plain, (greater(growth_rate(first_movers,$sk2),growth_rate(efficient_producers,$sk2))),
% 0.70/0.64 inference(resolution,[then_simplify],['50','52','4'])).
% 0.70/0.64 cnf('54', plain, (~greater(growth_rate(X,Y),growth_rate(Z,Y)) | ~subpopulations(Z,X,U,Y) | selection_favors(X,Z,Y) | ~environment(U)),
% 0.70/0.64 inference(cnf_transformation,[],['mp1_high_growth_rates_$sk'])).
% 0.70/0.64 cnf('55', plain, (~selection_favors(first_movers,efficient_producers,$sk2)),
% 0.70/0.64 inference(cnf_transformation,[],['prove_t3_$sk'])).
% 0.70/0.64 cnf('56', plain, (~subpopulations(efficient_producers,first_movers,X,$sk2) | ~environment(X)),
% 0.70/0.64 inference(resolution,[then_simplify],['53','54','55'])).
% 0.70/0.64 cnf('57', plain, (~subpopulations(first_movers,efficient_producers,X,Y) | subpopulations(efficient_producers,first_movers,X,Y) | ~environment(X)),
% 0.70/0.64 inference(cnf_transformation,[],['mp_symmetry_of_subpopulations_$sk'])).
% 0.70/0.64 cnf('58', plain, (subpopulations(efficient_producers,first_movers,$sk1,$sk2)),
% 0.70/0.64 inference(resolution,[then_simplify],['37','57','4'])).
% 0.70/0.64 cnf('59', plain, ($false),
% 0.70/0.64 inference(resolution,[then_simplify],['56','58','4'])).
% 0.70/0.64
% 0.70/0.64 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.70/0.64
% 0.70/0.64 run 3 fork 2 statistics:
% 0.70/0.64 ----------------------------------
% 0.70/0.64 this run seconds: 0.016392
% 0.70/0.64 total seconds: 0.019598
% 0.70/0.64 stat_given_used: 184
% 0.70/0.64 stat_given_used_at_endgame: 0
% 0.70/0.64 stat_given_candidates: 349
% 0.70/0.64 stat_given_candidates_at_endgame: 0
% 0.70/0.64 stat_given_candidates_h: 0
% 0.70/0.64 stat_binres_derived_cl: 242
% 0.70/0.64 stat_binres_derived_cl_h: 0
% 0.70/0.64 stat_factor_derived_cl: 30
% 0.70/0.64 stat_para_derived_cl: 155
% 0.70/0.64 stat_tautologies_discarded: 15
% 0.70/0.64 stat_forward_subsumed: 131
% 0.70/0.64 stat_derived_cut: 62
% 0.70/0.64 stat_derived_rewritten: 0
% 0.70/0.64 stat_weight_discarded_building: 0
% 0.70/0.64 stat_weight_discarded_cl: 0
% 0.70/0.64 stat_internlimit_discarded_cl: 0
% 0.70/0.64 stat_simplified: 5 simplified 0 derived 0 given
% 0.70/0.64 stat_kept_cl: 271
% 0.70/0.64 stat_built_cl: 644
% 0.70/0.64 stat_hyperres_partial_cl: 0
% 0.70/0.64 stat_made_rewriters: 0
% 0.70/0.64 stat_backward_subsumed: 0
% 0.70/0.64 stat_propagated_subsumed: 0
% 0.70/0.64 stat_clsubs_attempted: 401
% 0.70/0.64 stat_clsubs_fact_groundunit_found: 4
% 0.70/0.64 stat_clsubs_rule_groundunit_found: 16
% 0.70/0.64 stat_clsubs_top_meta_attempted: 20975
% 0.70/0.64 stat_clsubs_top_meta_failed: 20574
% 0.70/0.64 stat_clsubs_top_meta_nonpref_attempted: 20975
% 0.70/0.64 stat_clsubs_top_meta_nonpref_succeeded: 4573
% 0.70/0.64 stat_clsubs_top_meta_pref_attempted: 4573
% 0.70/0.64 stat_clsubs_top_meta_pref1_succeeded: 1177
% 0.70/0.64 stat_clsubs_top_meta_pref2_succeeded: 481
% 0.70/0.64 stat_clsubs_top_meta_pref3_succeeded: 401
% 0.70/0.64 stat_clsubs_top_meta_pref_succeeded: 401
% 0.70/0.64 stat_clsubs_meta_attempted: 1315
% 0.70/0.64 stat_clsubs_meta_failed: 430
% 0.70/0.64 stat_clsubs_predsymbs_attempted: 0
% 0.70/0.64 stat_clsubs_unit_attempted: 105
% 0.70/0.64 stat_clsubs_full_attempted: 296
% 0.70/0.64 stat_forwardsubs_attempted: 403
% 0.70/0.64 stat_lit_hash_added: 148
% 0.70/0.64 stat_lit_hash_computed: 4902
% 0.70/0.64 stat_lit_hash_match_found: 223
% 0.70/0.64 stat_lit_hash_match_miss: 6706
% 0.70/0.64 stat_lit_hash_cut_ok: 69
% 0.70/0.64 stat_lit_strong_cut_ok: 3
% 0.70/0.64 stat_lit_hash_subsume_ok: 131
% 0.70/0.64 clqueue els 10000000 used 1
% 0.70/0.64 clactive els 10000000 used 185
% 0.70/0.64 clactivesubsume els 10000000 used 961
% 0.70/0.64 queue_termbuf els 200000000 used 30935
% 0.70/0.64 hyper_termbuf els 100000000 used 1
% 0.70/0.64 active_termbuf els 100000000 used 13867
% 0.70/0.64 varstack els 5000 last used 1
% 0.70/0.64 given_termbuf els 10000000 last used 1
% 0.70/0.64 simplified_termbuf els 10000000 last used 1
% 0.70/0.64 derived_termbuf els 10000000 last used 21
% 0.70/0.64 wr_mallocs: 2057
% 0.70/0.64 wr_callocs: 21
% 0.70/0.64 wr_reallocs: 31
% 0.70/0.64 wr_frees: 2
% 0.70/0.64 wr_malloc_bytes: 4162650164
% 0.70/0.64 wr_calloc_bytes: 112065536
% 0.70/0.64 wr_realloc_bytes: 35568
% 0.70/0.64 wr_realloc_freebytes: 0
% 0.70/0.64 ----------------------------------
%------------------------------------------------------------------------------