TSTP Solution File: MGT026+1 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : MGT026+1 : TPTP v8.1.2. Released v2.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n031.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 09:13:38 EDT 2023
% Result : Theorem 0.18s 0.42s
% Output : CNFRefutation 0.18s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12 % Problem : MGT026+1 : TPTP v8.1.2. Released v2.0.0.
% 0.12/0.13 % Command : gkc %s
% 0.13/0.33 % Computer : n031.cluster.edu
% 0.13/0.33 % Model : x86_64 x86_64
% 0.13/0.33 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.33 % Memory : 8042.1875MB
% 0.13/0.33 % OS : Linux 3.10.0-693.el7.x86_64
% 0.13/0.33 % CPULimit : 300
% 0.13/0.33 % WCLimit : 300
% 0.13/0.33 % DateTime : Mon Aug 28 07:04:10 EDT 2023
% 0.13/0.34 % CPUTime :
% 0.18/0.38
% 0.18/0.38 input clause set summed statistics:
% 0.18/0.38 ----------------------------------
% 0.18/0.38 in_clause_count: 18
% 0.18/0.38 in_rule_clause_count: 16
% 0.18/0.38 in_fact_clause_count: 2
% 0.18/0.38 in_answer_clause_count: 0
% 0.18/0.38 in_ground_clause_count: 4
% 0.18/0.38 in_unit_clause_count: 4
% 0.18/0.38 in_horn_clause_count: 17
% 0.18/0.38 in_pos_clause_count: 3
% 0.18/0.38 in_neg_clause_count: 2
% 0.18/0.38 in_poseq_clause_count: 1
% 0.18/0.38 in_negeq_clause_count: 4
% 0.18/0.38 in_unitposeq_clause_count: 0
% 0.18/0.38 in_chain_clause_count: 0
% 0.18/0.38 in_min_length: 1
% 0.18/0.38 in_max_length: 6
% 0.18/0.38 in_min_depth: 1
% 0.18/0.38 in_max_depth: 2
% 0.18/0.38 in_min_size: 2
% 0.18/0.38 in_max_size: 24
% 0.18/0.38 in_min_vars: 0
% 0.18/0.38 in_max_vars: 4
% 0.18/0.38 in_extaxiom_count: 0
% 0.18/0.38 in_axiom_count: 11
% 0.18/0.38 in_assumption_count: 3
% 0.18/0.38 in_goal_count: 4
% 0.18/0.38 in_neg_goal_count: 1
% 0.18/0.38 in_pos_goal_count: 3
% 0.18/0.38 in_posunit_goal_count: 3
% 0.18/0.38
% 0.18/0.38 auto guide:
% 0.18/0.38 -----------
% 0.18/0.38 {
% 0.18/0.38 "print":1,
% 0.18/0.38 "print_level": 15,
% 0.18/0.38 "max_size": 0,
% 0.18/0.38 "max_depth": 0,
% 0.18/0.38 "max_length": 0,
% 0.18/0.38 "max_dseconds": 0,
% 0.18/0.38 "runs":[
% 0.18/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":1, "sine":5, "strategy":["negative_pref"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":1, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_deep_para"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.18/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.18/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.18/0.38 {"max_dseconds":1, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.18/0.38 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.18/0.38 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para","prohibit_unordered_para"], "query_preference":1, "reverse_clauselist":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.18/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.18/0.38 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":0, "strategy":["query_focus", "posunitpara"], "max_dseconds":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":2},
% 0.18/0.38 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":1},
% 0.18/0.38 {"weight_select_ratio":100, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "equality":0},
% 0.18/0.38 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.18/0.38 {"var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["positive_pref"], "max_dseconds":1},
% 0.18/0.38 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.18/0.38 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1, "max_size":17},
% 0.18/0.38 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":1, "sine":5, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.18/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.18/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.18/0.38 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "max_size":30, "max_depth":10, "max_weight":300, "weight_select_ratio":1, "rewrite":0},
% 0.18/0.38 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":2},
% 0.18/0.38 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.18/0.38 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "rewrite":0},
% 0.18/0.38 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "rewrite":0},
% 0.18/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.18/0.38 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":2},
% 0.18/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "length_penalty":100},
% 0.18/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":3},
% 0.18/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":30, "depth_penalty":100},
% 0.18/0.38 {"max_dseconds":1, "strategy":["negative_pref", "posunitpara"], "query_preference":1, "max_depth":2, "depth_penalty":50, "length_penalty":100},
% 0.18/0.38 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":1},
% 0.18/0.38 {"depth_penalty":50, "query_preference":2, "strategy":["negative_pref"], "max_dseconds":1},
% 0.18/0.38 {"max_depth":0, "length_penalty":100, "query_preference":2, "strategy":["hardness_pref", "posunitpara"], "max_dseconds":1},
% 0.18/0.38 {"weight_select_ratio":100, "query_preference":1, "strategy":["negative_pref"], "max_dseconds":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "max_depth":2},
% 0.18/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.18/0.38 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "weight_select_ratio":1, "query_preference":0},
% 0.18/0.38 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.18/0.38 {"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},
% 0.18/0.38 {"max_depth":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.18/0.38 {"depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":0, "depth_penalty":50, "length_penalty":100},
% 0.18/0.38 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.18/0.38 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.18/0.38 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "max_depth":2},
% 0.18/0.38 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":1, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.18/0.38 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.18/0.38 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight","prohibit_unordered_para"], "max_dseconds":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["query_focus", "posunitpara"], "query_preference":1, "depth_penalty":50, "length_penalty":100},
% 0.18/0.38 {"depth_penalty":50, "query_preference":1, "strategy":["hardness_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.18/0.38 {"rewrite":0, "depth_penalty":50, "query_preference":1, "strategy":["query_focus", "hornpref"], "max_dseconds":1},
% 0.18/0.38 {"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},
% 0.18/0.38 {"query_preference":1, "strategy":["unit", "max_weight"], "max_dseconds":1},
% 0.18/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "weight_select_ratio":30, "depth_penalty":100, "length_penalty":100},
% 0.18/0.38 {"length_penalty":100, "query_preference":1, "strategy":["positive_pref", "posunitpara"], "max_dseconds":1},
% 0.18/0.38 {"weight_select_ratio":100, "rewrite":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.18/0.38
% 0.18/0.38 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":10, "sine":5, "strategy":["negative_pref"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":10, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":10, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":10, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":10, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":10, "strategy":["hardness_pref","prohibit_deep_para"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":10, "strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.18/0.38 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.18/0.38 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.18/0.38 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.18/0.38 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.18/0.38 {"max_dseconds":10, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.18/0.38 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.18/0.38 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.18/0.38 {"max_dseconds":10, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.18/0.38 {"max_dseconds":10, "strategy":["unit", "prohibit_nested_para","prohibit_unordered_para"], "query_preference":1, "reverse_clauselist":1},
% 0.18/0.38 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.18/0.38 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.18/0.38 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":0, "strategy":["query_focus", "posunitpara"], "max_dseconds":10},
% 0.18/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "max_depth":2},
% 0.18/0.38 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":10},
% 0.18/0.38 {"weight_select_ratio":100, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":10},
% 0.18/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "equality":0},
% 0.18/0.38 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.18/0.38 {"var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["positive_pref"], "max_dseconds":10},
% 0.18/0.38 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.18/0.38 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.18/0.38 {"max_dseconds":10, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1, "max_size":17},
% 0.18/0.38 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":10, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":10, "sine":5, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.18/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.18/0.38 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.18/0.38 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.18/0.38 {"max_dseconds":10, "strategy":["unit", "pure_unit"], "max_size":30, "max_depth":10, "max_weight":300, "weight_select_ratio":1, "rewrite":0},
% 0.18/0.38 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.18/0.38 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":2},
% 0.18/0.38 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
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% 0.18/0.38 {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.18/0.38 {"max_dseconds":1250, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.18/0.38 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "rewrite":0}
% 0.18/0.38
% 0.18/0.38 ]}
% 0.18/0.38
% 0.18/0.38
% 0.18/0.38 **** run 1 fork 0 starts with strategy
% 0.18/0.38 {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.18/0.38
% 0.18/0.38 **** run 2 fork 1 starts with strategy
% 0.18/0.38 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.18/0.38
% 0.18/0.38 **** run 3 fork 2 starts with strategy
% 0.18/0.38 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1}
% 0.18/0.38
% 0.18/0.38 **** run 4 fork 3 starts with strategy
% 0.18/0.38 {"max_dseconds":1,"sine":5,"strategy":["negative_pref"],"query_preference":1}
% 0.18/0.38
% 0.18/0.38 **** run 5 fork 4 starts with strategy
% 0.18/0.38 {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para"],"query_preference":0}
% 0.18/0.38
% 0.18/0.38 **** run 6 fork 5 starts with strategy
% 0.18/0.38 {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":0}
% 0.18/0.38
% 0.18/0.38 **** run 7 fork 6 starts with strategy
% 0.18/0.38 {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":1}
% 0.18/0.40
% 0.18/0.40 **** run 8 fork 7 starts with strategy
% 0.18/0.40 {"max_dseconds":1,"strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"],"query_preference":0}
% 0.18/0.42
% 0.18/0.42 fork 5: search finished without proof.
% 0.18/0.42
% 0.18/0.42 fork 0: search finished without proof.
% 0.18/0.42
% 0.18/0.42
% 0.18/0.42 result: proof found
% 0.18/0.42 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.18/0.42 by run 3 fork 2 strategy {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1}
% 0.18/0.42 % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.18/0.42
% 0.18/0.42 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.18/0.42 fof('mp_non_empty_fm_and_ep_$sk', plain, (subpopulations(first_movers,efficient_producers,X2,X1) | (~greater(cardinality_at_time(efficient_producers,X1),zero) | (~greater(cardinality_at_time(first_movers,X1),zero) | (~in_environment(X2,X1) | ~environment(X2))))),
% 0.18/0.42 inference(negpush_and_skolemize,[],['mp_non_empty_fm_and_ep'])).
% 0.18/0.42 fof('mp_non_empty_fm_and_ep', axiom, (! [E,T] : ((((environment(E) & in_environment(E,T)) & greater(cardinality_at_time(first_movers,T),zero)) & greater(cardinality_at_time(efficient_producers,T),zero)) => subpopulations(first_movers,efficient_producers,E,T))),
% 0.18/0.42 input).
% 0.18/0.42 fof('mp_greater_or_equal_$sk', plain, ((~greater_or_equal(X2,X1) | ((X2 = X1) | greater(X2,X1))) & (greater_or_equal(X4,X3) | (~(X4 = X3) & ~greater(X4,X3)))),
% 0.18/0.42 inference(negpush_and_skolemize,[],['mp_greater_or_equal'])).
% 0.18/0.42 fof('mp_greater_or_equal', axiom, (! [X,Y] : (greater_or_equal(X,Y) <=> (greater(X,Y) | (X = Y)))),
% 0.18/0.42 input).
% 0.18/0.42 fof('mp_critical_point_after_EP_$sk', plain, (greater_or_equal(critical_point(X1),appear(efficient_producers,X1)) | ~environment(X1)),
% 0.18/0.42 inference(negpush_and_skolemize,[],['mp_critical_point_after_EP'])).
% 0.18/0.42 fof('mp_critical_point_after_EP', axiom, (! [E] : (environment(E) => greater_or_equal(critical_point(E),appear(efficient_producers,E)))),
% 0.18/0.42 input).
% 0.18/0.42 fof('prove_l8_$sk', plain, (~selection_favors(efficient_producers,first_movers,$sk2) & (greater($sk2,critical_point($sk1)) & (in_environment($sk1,$sk2) & environment($sk1)))),
% 0.18/0.42 inference(negpush_and_skolemize,[],['prove_l8'])).
% 0.18/0.42 fof('prove_l8', conjecture, (! [E,T] : (((environment(E) & in_environment(E,T)) & greater(T,critical_point(E))) => selection_favors(efficient_producers,first_movers,T))),
% 0.18/0.42 input).
% 0.18/0.42 fof('mp_greater_transitivity_$sk', plain, (greater(X3,X2) | (~greater(X1,X2) | ~greater(X3,X1))),
% 0.18/0.42 inference(negpush_and_skolemize,[],['mp_greater_transitivity'])).
% 0.18/0.42 fof('mp_greater_transitivity', axiom, (! [X,Y,Z] : ((greater(X,Y) & greater(Y,Z)) => greater(X,Z))),
% 0.18/0.42 input).
% 0.18/0.42 fof('t6_$sk', plain, (greater(cardinality_at_time(efficient_producers,X2),zero) | (~greater_or_equal(X2,appear(efficient_producers,X1)) | (~in_environment(X1,X2) | ~environment(X1)))),
% 0.18/0.42 inference(negpush_and_skolemize,[],['t6'])).
% 0.18/0.42 fof('t6', hypothesis, (! [E,T] : (((environment(E) & in_environment(E,T)) & greater_or_equal(T,appear(efficient_producers,E))) => greater(cardinality_at_time(efficient_producers,T),zero))),
% 0.18/0.42 input).
% 0.18/0.42 fof('mp_first_movers_exist_$sk', plain, (greater_or_equal(cardinality_at_time(first_movers,X2),zero) | (~in_environment(X1,X2) | ~environment(X1))),
% 0.18/0.42 inference(negpush_and_skolemize,[],['mp_first_movers_exist'])).
% 0.18/0.42 fof('mp_first_movers_exist', axiom, (! [E,T] : ((environment(E) & in_environment(E,T)) => greater_or_equal(cardinality_at_time(first_movers,T),zero))),
% 0.18/0.42 input).
% 0.18/0.42 fof('d1_$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))),
% 0.18/0.42 inference(negpush_and_skolemize,[],['d1'])).
% 0.18/0.42 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))))))),
% 0.18/0.42 input).
% 0.18/0.42 fof('mp1_high_growth_rates_$sk', plain, (selection_favors(X4,X3,X2) | (~greater(growth_rate(X4,X2),growth_rate(X3,X2)) | (~subpopulations(X3,X4,X1,X2) | ~environment(X1)))),
% 0.18/0.42 inference(negpush_and_skolemize,[],['mp1_high_growth_rates'])).
% 0.18/0.42 fof('mp1_high_growth_rates', axiom, (! [E,S1,S2,T] : (((environment(E) & subpopulations(S1,S2,E,T)) & greater(growth_rate(S2,T),growth_rate(S1,T))) => selection_favors(S2,S1,T))),
% 0.18/0.42 input).
% 0.18/0.42 fof('mp2_favour_members_$sk', plain, (selection_favors(X4,X3,X2) | (~(cardinality_at_time(X3,X2) = zero) | (~greater(cardinality_at_time(X4,X2),zero) | (~subpopulation(X3,X1,X2) | (~subpopulation(X4,X1,X2) | ~environment(X1)))))),
% 0.18/0.42 inference(negpush_and_skolemize,[],['mp2_favour_members'])).
% 0.18/0.42 fof('mp2_favour_members', axiom, (! [E,S1,S2,T] : (((((environment(E) & subpopulation(S1,E,T)) & subpopulation(S2,E,T)) & greater(cardinality_at_time(S1,T),zero)) & (cardinality_at_time(S2,T) = zero)) => selection_favors(S1,S2,T))),
% 0.18/0.42 input).
% 0.18/0.42 fof('mp_subpopulations_$sk', plain, ((subpopulation(efficient_producers,X2,X1) & subpopulation(first_movers,X2,X1)) | (~in_environment(X2,X1) | ~environment(X2))),
% 0.18/0.42 inference(negpush_and_skolemize,[],['mp_subpopulations'])).
% 0.18/0.42 fof('mp_subpopulations', axiom, (! [E,T] : ((environment(E) & in_environment(E,T)) => (subpopulation(first_movers,E,T) & subpopulation(efficient_producers,E,T)))),
% 0.18/0.43 input).
% 0.18/0.43 cnf('1', plain, (~greater(cardinality_at_time(efficient_producers,X),zero) | ~greater(cardinality_at_time(first_movers,X),zero) | subpopulations(first_movers,efficient_producers,Y,X) | ~in_environment(Y,X) | ~environment(Y)),
% 0.18/0.43 inference(cnf_transformation,[],['mp_non_empty_fm_and_ep_$sk'])).
% 0.18/0.43 cnf('2', plain, (~greater_or_equal(X,Y) | greater(X,Y) | X = Y),
% 0.18/0.43 inference(cnf_transformation,[],['mp_greater_or_equal_$sk'])).
% 0.18/0.43 cnf('3', plain, (greater_or_equal(critical_point(X),appear(efficient_producers,X)) | ~environment(X)),
% 0.18/0.43 inference(cnf_transformation,[],['mp_critical_point_after_EP_$sk'])).
% 0.18/0.43 cnf('4', plain, (environment($sk1)),
% 0.18/0.43 inference(cnf_transformation,[],['prove_l8_$sk'])).
% 0.18/0.43 cnf('5', plain, (greater_or_equal(critical_point($sk1),appear(efficient_producers,$sk1))),
% 0.18/0.43 inference(resolution,[],['3','4'])).
% 0.18/0.43 cnf('6', plain, (greater(critical_point($sk1),appear(efficient_producers,$sk1)) | critical_point($sk1) = appear(efficient_producers,$sk1)),
% 0.18/0.43 inference(resolution,[],['2','5'])).
% 0.18/0.43 cnf('7', plain, (~greater(X,Y) | ~greater(Z,X) | greater(Z,Y)),
% 0.18/0.43 inference(cnf_transformation,[],['mp_greater_transitivity_$sk'])).
% 0.18/0.43 cnf('8', plain, (critical_point($sk1) = appear(efficient_producers,$sk1) | greater(X,appear(efficient_producers,$sk1)) | ~greater(X,critical_point($sk1))),
% 0.18/0.43 inference(resolution,[],['6','7'])).
% 0.18/0.43 cnf('9', plain, (greater($sk2,critical_point($sk1))),
% 0.18/0.43 inference(cnf_transformation,[],['prove_l8_$sk'])).
% 0.18/0.43 cnf('10', plain, (critical_point($sk1) = appear(efficient_producers,$sk1) | greater($sk2,appear(efficient_producers,$sk1))),
% 0.18/0.43 inference(resolution,[],['8','9'])).
% 0.18/0.43 cnf('11', plain, (greater(cardinality_at_time(efficient_producers,X),zero) | ~greater_or_equal(X,appear(efficient_producers,Y)) | ~in_environment(Y,X) | ~environment(Y)),
% 0.18/0.43 inference(cnf_transformation,[],['t6_$sk'])).
% 0.18/0.43 cnf('12', plain, (environment($sk1)),
% 0.18/0.43 inference(cnf_transformation,[],['prove_l8_$sk'])).
% 0.18/0.43 cnf('13', plain, (greater($sk2,appear(efficient_producers,$sk1)) | greater(cardinality_at_time(efficient_producers,X),zero) | ~greater_or_equal(X,critical_point($sk1)) | ~in_environment($sk1,X)),
% 0.18/0.43 inference(paramodulation,[then_simplify],['10','11','12'])).
% 0.18/0.43 cnf('14', plain, (~greater(X,Y) | greater_or_equal(X,Y)),
% 0.18/0.43 inference(cnf_transformation,[],['mp_greater_or_equal_$sk'])).
% 0.18/0.43 cnf('15', plain, (greater_or_equal($sk2,critical_point($sk1))),
% 0.18/0.43 inference(resolution,[],['9','14'])).
% 0.18/0.43 cnf('16', plain, (in_environment($sk1,$sk2)),
% 0.18/0.43 inference(cnf_transformation,[],['prove_l8_$sk'])).
% 0.18/0.43 cnf('17', plain, (greater(cardinality_at_time(efficient_producers,$sk2),zero) | greater($sk2,appear(efficient_producers,$sk1))),
% 0.18/0.43 inference(resolution,[then_simplify],['13','15','16'])).
% 0.18/0.43 cnf('18', plain, (~greater(cardinality_at_time(first_movers,$sk2),zero) | greater($sk2,appear(efficient_producers,$sk1)) | subpopulations(first_movers,efficient_producers,X,$sk2) | ~in_environment(X,$sk2) | ~environment(X)),
% 0.18/0.43 inference(resolution,[],['1','17'])).
% 0.18/0.43 cnf('19', plain, (greater_or_equal(cardinality_at_time(first_movers,X),zero) | ~in_environment(Y,X) | ~environment(Y)),
% 0.18/0.43 inference(cnf_transformation,[],['mp_first_movers_exist_$sk'])).
% 0.18/0.43 cnf('20', plain, (in_environment($sk1,$sk2)),
% 0.18/0.43 inference(cnf_transformation,[],['prove_l8_$sk'])).
% 0.18/0.43 cnf('21', plain, (greater_or_equal(cardinality_at_time(first_movers,$sk2),zero)),
% 0.18/0.43 inference(resolution,[then_simplify],['19','20','12'])).
% 0.18/0.43 cnf('22', plain, (greater(cardinality_at_time(first_movers,$sk2),zero) | cardinality_at_time(first_movers,$sk2) = zero),
% 0.18/0.43 inference(resolution,[],['21','2'])).
% 0.18/0.43 cnf('23', plain, (cardinality_at_time(first_movers,$sk2) = zero | greater($sk2,appear(efficient_producers,$sk1)) | subpopulations(first_movers,efficient_producers,X,$sk2) | ~in_environment(X,$sk2) | ~environment(X)),
% 0.18/0.43 inference(resolution,[],['18','22'])).
% 0.18/0.43 cnf('24', plain, (cardinality_at_time(first_movers,$sk2) = zero | greater($sk2,appear(efficient_producers,$sk1)) | subpopulations(first_movers,efficient_producers,$sk1,$sk2)),
% 0.18/0.43 inference(resolution,[then_simplify],['23','20','12'])).
% 0.18/0.43 cnf('25', plain, (greater(growth_rate(efficient_producers,X),growth_rate(first_movers,X)) | ~subpopulations(first_movers,efficient_producers,Y,X) | Z != critical_point(Y) | ~greater(X,Z) | ~environment(Y)),
% 0.18/0.43 inference(cnf_transformation,[],['d1_$sk'])).
% 0.18/0.43 cnf('26', plain, (greater(growth_rate(efficient_producers,X),growth_rate(first_movers,X)) | ~subpopulations(first_movers,efficient_producers,Y,X) | ~greater(X,critical_point(Y)) | ~environment(Y)),
% 0.18/0.43 inference(reflexivity,[],['25'])).
% 0.18/0.43 cnf('27', plain, (greater($sk2,critical_point($sk1))),
% 0.18/0.43 inference(cnf_transformation,[],['prove_l8_$sk'])).
% 0.18/0.43 cnf('28', plain, (greater(growth_rate(efficient_producers,$sk2),growth_rate(first_movers,$sk2)) | cardinality_at_time(first_movers,$sk2) = zero | greater($sk2,appear(efficient_producers,$sk1))),
% 0.18/0.43 inference(resolution,[then_simplify],['24','26','27','12'])).
% 0.18/0.43 cnf('29', plain, (~greater(growth_rate(X,Y),growth_rate(Z,Y)) | ~subpopulations(Z,X,U,Y) | selection_favors(X,Z,Y) | ~environment(U)),
% 0.18/0.43 inference(cnf_transformation,[],['mp1_high_growth_rates_$sk'])).
% 0.18/0.43 cnf('30', plain, (~selection_favors(efficient_producers,first_movers,$sk2)),
% 0.18/0.43 inference(cnf_transformation,[],['prove_l8_$sk'])).
% 0.18/0.43 cnf('31', plain, (cardinality_at_time(first_movers,$sk2) = zero | greater($sk2,appear(efficient_producers,$sk1)) | ~subpopulations(first_movers,efficient_producers,X,$sk2) | ~environment(X)),
% 0.18/0.43 inference(resolution,[then_simplify],['28','29','30'])).
% 0.18/0.43 cnf('32', plain, (cardinality_at_time(first_movers,$sk2) = zero | greater($sk2,appear(efficient_producers,$sk1))),
% 0.18/0.43 inference(resolution,[then_simplify],['31','24','12'])).
% 0.18/0.43 cnf('33', plain, (greater_or_equal($sk2,appear(efficient_producers,$sk1)) | cardinality_at_time(first_movers,$sk2) = zero),
% 0.18/0.43 inference(resolution,[],['32','14'])).
% 0.18/0.43 cnf('34', plain, (greater(cardinality_at_time(efficient_producers,$sk2),zero) | cardinality_at_time(first_movers,$sk2) = zero),
% 0.18/0.43 inference(resolution,[then_simplify],['33','11','16','12'])).
% 0.18/0.43 cnf('35', plain, (~greater(cardinality_at_time(first_movers,$sk2),zero) | cardinality_at_time(first_movers,$sk2) = zero | subpopulations(first_movers,efficient_producers,X3,$sk2) | ~in_environment(X3,$sk2) | ~environment(X3)),
% 0.18/0.43 inference(resolution,[],['34','1'])).
% 0.18/0.43 cnf('36', plain, (greater(cardinality_at_time(first_movers,$sk2),zero) | cardinality_at_time(first_movers,$sk2) = zero),
% 0.18/0.43 inference(resolution,[],['21','2'])).
% 0.18/0.43 cnf('37', plain, (cardinality_at_time(first_movers,$sk2) = zero | subpopulations(first_movers,efficient_producers,X,$sk2) | ~in_environment(X,$sk2) | ~environment(X)),
% 0.18/0.43 inference(simplify,[],['35','36'])).
% 0.18/0.43 cnf('38', plain, (cardinality_at_time(first_movers,$sk2) = zero | subpopulations(first_movers,efficient_producers,$sk1,$sk2)),
% 0.18/0.43 inference(resolution,[then_simplify],['37','20','12'])).
% 0.18/0.43 cnf('39', plain, (greater(growth_rate(efficient_producers,$sk2),growth_rate(first_movers,$sk2)) | cardinality_at_time(first_movers,$sk2) = zero),
% 0.18/0.43 inference(resolution,[then_simplify],['38','26','27','12'])).
% 0.18/0.43 cnf('40', plain, (cardinality_at_time(first_movers,$sk2) = zero | ~subpopulations(first_movers,efficient_producers,X,$sk2) | ~environment(X)),
% 0.18/0.43 inference(resolution,[then_simplify],['39','29','30'])).
% 0.18/0.43 cnf('41', plain, (cardinality_at_time(first_movers,$sk2) = zero),
% 0.18/0.43 inference(resolution,[then_simplify],['40','38','12'])).
% 0.18/0.43 cnf('42', plain, (~greater(cardinality_at_time(X,Y),zero) | cardinality_at_time(Z,Y) != zero | ~subpopulation(Z,U,Y) | ~subpopulation(X,U,Y) | selection_favors(X,Z,Y) | ~environment(U)),
% 0.18/0.43 inference(cnf_transformation,[],['mp2_favour_members_$sk'])).
% 0.18/0.43 cnf('43', plain, (~greater(cardinality_at_time(X,$sk2),zero) | ~subpopulation(first_movers,Y,$sk2) | ~subpopulation(X,Y,$sk2) | selection_favors(X,first_movers,$sk2) | ~environment(Y)),
% 0.18/0.43 inference(resolution,[],['41','42'])).
% 0.18/0.43 cnf('44', plain, (greater($sk2,appear(efficient_producers,$sk1)) | ~subpopulation(efficient_producers,X,$sk2) | ~subpopulation(first_movers,X,$sk2) | ~environment(X)),
% 0.18/0.43 inference(resolution,[then_simplify],['43','17','30'])).
% 0.18/0.43 cnf('45', plain, (subpopulation(efficient_producers,X,Y) | ~in_environment(X,Y) | ~environment(X)),
% 0.18/0.43 inference(cnf_transformation,[],['mp_subpopulations_$sk'])).
% 0.18/0.43 cnf('46', plain, (subpopulation(efficient_producers,$sk1,$sk2)),
% 0.18/0.43 inference(resolution,[then_simplify],['45','20','12'])).
% 0.18/0.43 cnf('47', plain, (subpopulation(first_movers,X,Y) | ~in_environment(X,Y) | ~environment(X)),
% 0.18/0.43 inference(cnf_transformation,[],['mp_subpopulations_$sk'])).
% 0.18/0.43 cnf('48', plain, (subpopulation(first_movers,$sk1,$sk2)),
% 0.18/0.43 inference(resolution,[then_simplify],['47','20','12'])).
% 0.18/0.43 cnf('49', plain, (greater($sk2,appear(efficient_producers,$sk1))),
% 0.18/0.43 inference(resolution,[then_simplify],['44','46','48','12'])).
% 0.18/0.43 cnf('50', plain, (greater_or_equal($sk2,appear(efficient_producers,$sk1))),
% 0.18/0.43 inference(resolution,[],['49','14'])).
% 0.18/0.43 cnf('51', plain, (greater(cardinality_at_time(efficient_producers,$sk2),zero)),
% 0.18/0.43 inference(resolution,[then_simplify],['50','11','16','12'])).
% 0.18/0.43 cnf('52', plain, (~subpopulation(efficient_producers,X,$sk2) | ~subpopulation(first_movers,X,$sk2) | ~environment(X)),
% 0.18/0.43 inference(resolution,[then_simplify],['51','43','30'])).
% 0.18/0.43 cnf('53', plain, ($false),
% 0.18/0.43 inference(resolution,[then_simplify],['52','46','48','12'])).
% 0.18/0.43
% 0.18/0.43 % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.18/0.43
% 0.18/0.43 run 3 fork 2 statistics:
% 0.18/0.43 ----------------------------------
% 0.18/0.43 this run seconds: 0.016253
% 0.18/0.43 total seconds: 0.041560
% 0.18/0.43 stat_given_used: 71
% 0.18/0.43 stat_given_used_at_endgame: 0
% 0.18/0.43 stat_given_candidates: 128
% 0.18/0.43 stat_given_candidates_at_endgame: 0
% 0.18/0.43 stat_given_candidates_h: 0
% 0.18/0.43 stat_binres_derived_cl: 70
% 0.18/0.43 stat_binres_derived_cl_h: 0
% 0.18/0.43 stat_factor_derived_cl: 6
% 0.18/0.43 stat_para_derived_cl: 19
% 0.18/0.43 stat_tautologies_discarded: 2
% 0.18/0.43 stat_forward_subsumed: 15
% 0.18/0.43 stat_derived_cut: 26
% 0.18/0.43 stat_derived_rewritten: 3
% 0.18/0.43 stat_weight_discarded_building: 0
% 0.18/0.43 stat_weight_discarded_cl: 0
% 0.18/0.43 stat_internlimit_discarded_cl: 0
% 0.18/0.43 stat_simplified: 4 simplified 0 derived 0 given
% 0.18/0.43 stat_kept_cl: 71
% 0.18/0.43 stat_built_cl: 217
% 0.18/0.43 stat_hyperres_partial_cl: 0
% 0.18/0.43 stat_made_rewriters: 1
% 0.18/0.43 stat_backward_subsumed: 0
% 0.18/0.43 stat_propagated_subsumed: 0
% 0.18/0.43 stat_clsubs_attempted: 86
% 0.18/0.43 stat_clsubs_fact_groundunit_found: 4
% 0.18/0.43 stat_clsubs_rule_groundunit_found: 5
% 0.18/0.43 stat_clsubs_top_meta_attempted: 2757
% 0.18/0.43 stat_clsubs_top_meta_failed: 2671
% 0.18/0.43 stat_clsubs_top_meta_nonpref_attempted: 2757
% 0.18/0.43 stat_clsubs_top_meta_nonpref_succeeded: 639
% 0.18/0.43 stat_clsubs_top_meta_pref_attempted: 639
% 0.18/0.43 stat_clsubs_top_meta_pref1_succeeded: 129
% 0.18/0.43 stat_clsubs_top_meta_pref2_succeeded: 90
% 0.18/0.43 stat_clsubs_top_meta_pref3_succeeded: 86
% 0.18/0.43 stat_clsubs_top_meta_pref_succeeded: 86
% 0.18/0.43 stat_clsubs_meta_attempted: 223
% 0.18/0.43 stat_clsubs_meta_failed: 54
% 0.18/0.43 stat_clsubs_predsymbs_attempted: 0
% 0.18/0.43 stat_clsubs_unit_attempted: 15
% 0.18/0.43 stat_clsubs_full_attempted: 71
% 0.18/0.43 stat_forwardsubs_attempted: 87
% 0.18/0.43 stat_lit_hash_added: 77
% 0.18/0.43 stat_lit_hash_computed: 1227
% 0.18/0.43 stat_lit_hash_match_found: 56
% 0.18/0.43 stat_lit_hash_match_miss: 1621
% 0.18/0.43 stat_lit_hash_cut_ok: 33
% 0.18/0.43 stat_lit_strong_cut_ok: 0
% 0.18/0.43 stat_lit_hash_subsume_ok: 15
% 0.18/0.43 clqueue els 10000000 used 1
% 0.18/0.43 clactive els 10000000 used 72
% 0.18/0.43 clactivesubsume els 10000000 used 337
% 0.18/0.43 queue_termbuf els 200000000 used 4245
% 0.18/0.43 hyper_termbuf els 100000000 used 1
% 0.18/0.43 active_termbuf els 100000000 used 2712
% 0.18/0.43 varstack els 5000 last used 1
% 0.18/0.43 given_termbuf els 10000000 last used 1
% 0.18/0.43 simplified_termbuf els 10000000 last used 1
% 0.18/0.43 derived_termbuf els 10000000 last used 32
% 0.18/0.43 wr_mallocs: 661
% 0.18/0.43 wr_callocs: 21
% 0.18/0.43 wr_reallocs: 14
% 0.18/0.43 wr_frees: 2
% 0.18/0.43 wr_malloc_bytes: 4162600868
% 0.18/0.43 wr_calloc_bytes: 112065536
% 0.18/0.43 wr_realloc_bytes: 17664
% 0.18/0.43 wr_realloc_freebytes: 0
% 0.18/0.43 ----------------------------------
% 0.18/0.43
% 0.18/0.43 fork 6: search finished without proof.
% 0.18/0.43
% 0.18/0.43 fork 3: search finished without proof.
%------------------------------------------------------------------------------