TSTP Solution File: MGT039+1 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : MGT039+1 : TPTP v8.1.2. Released v2.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n005.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 09:13:48 EDT 2023
% Result : Theorem 0.18s 0.45s
% Output : CNFRefutation 0.18s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.07/0.12 % Problem : MGT039+1 : TPTP v8.1.2. Released v2.0.0.
% 0.07/0.13 % Command : gkc %s
% 0.12/0.34 % Computer : n005.cluster.edu
% 0.12/0.34 % Model : x86_64 x86_64
% 0.12/0.34 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.12/0.34 % Memory : 8042.1875MB
% 0.12/0.34 % OS : Linux 3.10.0-693.el7.x86_64
% 0.12/0.34 % CPULimit : 300
% 0.12/0.34 % WCLimit : 300
% 0.12/0.34 % DateTime : Mon Aug 28 06:08:23 EDT 2023
% 0.12/0.34 % CPUTime :
% 0.12/0.38
% 0.12/0.38 input clause set summed statistics:
% 0.12/0.38 ----------------------------------
% 0.12/0.38 in_clause_count: 19
% 0.12/0.38 in_rule_clause_count: 15
% 0.12/0.38 in_fact_clause_count: 4
% 0.12/0.38 in_answer_clause_count: 0
% 0.12/0.38 in_ground_clause_count: 5
% 0.12/0.38 in_unit_clause_count: 5
% 0.12/0.38 in_horn_clause_count: 15
% 0.12/0.38 in_pos_clause_count: 4
% 0.12/0.38 in_neg_clause_count: 1
% 0.12/0.38 in_poseq_clause_count: 1
% 0.12/0.38 in_negeq_clause_count: 1
% 0.12/0.38 in_unitposeq_clause_count: 0
% 0.12/0.38 in_chain_clause_count: 0
% 0.12/0.38 in_min_length: 1
% 0.12/0.38 in_max_length: 5
% 0.12/0.38 in_min_depth: 1
% 0.12/0.38 in_max_depth: 3
% 0.12/0.38 in_min_size: 2
% 0.12/0.38 in_max_size: 16
% 0.12/0.38 in_min_vars: 0
% 0.12/0.38 in_max_vars: 3
% 0.12/0.38 in_extaxiom_count: 0
% 0.12/0.38 in_axiom_count: 15
% 0.12/0.38 in_assumption_count: 1
% 0.12/0.38 in_goal_count: 3
% 0.12/0.38 in_neg_goal_count: 1
% 0.12/0.38 in_pos_goal_count: 2
% 0.12/0.38 in_posunit_goal_count: 2
% 0.12/0.38
% 0.12/0.38 auto guide:
% 0.12/0.38 -----------
% 0.12/0.38 {
% 0.12/0.38 "print":1,
% 0.12/0.38 "print_level": 15,
% 0.12/0.38 "max_size": 0,
% 0.12/0.38 "max_depth": 0,
% 0.12/0.38 "max_length": 0,
% 0.12/0.38 "max_dseconds": 0,
% 0.12/0.38 "runs":[
% 0.12/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":1, "sine":5, "strategy":["negative_pref"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":1, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_deep_para"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.12/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.12/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.12/0.38 {"max_dseconds":1, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.12/0.38 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.12/0.38 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para","prohibit_unordered_para"], "query_preference":1, "reverse_clauselist":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.12/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.12/0.38 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":0, "strategy":["query_focus", "posunitpara"], "max_dseconds":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":2},
% 0.12/0.38 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":1},
% 0.12/0.38 {"weight_select_ratio":100, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "equality":0},
% 0.12/0.38 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.12/0.38 {"var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["positive_pref"], "max_dseconds":1},
% 0.12/0.38 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.12/0.38 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1, "max_size":17},
% 0.12/0.38 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":1, "sine":5, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.12/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.12/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.12/0.38 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "max_size":30, "max_depth":10, "max_weight":300, "weight_select_ratio":1, "rewrite":0},
% 0.12/0.38 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":2},
% 0.12/0.38 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.12/0.38 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "rewrite":0},
% 0.12/0.38 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "rewrite":0},
% 0.12/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.12/0.38 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":2},
% 0.12/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "length_penalty":100},
% 0.12/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":3},
% 0.12/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":30, "depth_penalty":100},
% 0.12/0.38 {"max_dseconds":1, "strategy":["negative_pref", "posunitpara"], "query_preference":1, "max_depth":2, "depth_penalty":50, "length_penalty":100},
% 0.12/0.38 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":1},
% 0.12/0.38 {"depth_penalty":50, "query_preference":2, "strategy":["negative_pref"], "max_dseconds":1},
% 0.12/0.38 {"max_depth":0, "length_penalty":100, "query_preference":2, "strategy":["hardness_pref", "posunitpara"], "max_dseconds":1},
% 0.12/0.38 {"weight_select_ratio":100, "query_preference":1, "strategy":["negative_pref"], "max_dseconds":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "max_depth":2},
% 0.12/0.38 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.12/0.38 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "weight_select_ratio":1, "query_preference":0},
% 0.12/0.38 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.12/0.38 {"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},
% 0.12/0.38 {"max_depth":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.12/0.38 {"depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":0, "depth_penalty":50, "length_penalty":100},
% 0.12/0.38 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.12/0.38 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.12/0.38 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "max_depth":2},
% 0.12/0.38 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":1, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.12/0.38 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.12/0.38 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight","prohibit_unordered_para"], "max_dseconds":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["query_focus", "posunitpara"], "query_preference":1, "depth_penalty":50, "length_penalty":100},
% 0.12/0.38 {"depth_penalty":50, "query_preference":1, "strategy":["hardness_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.12/0.38 {"rewrite":0, "depth_penalty":50, "query_preference":1, "strategy":["query_focus", "hornpref"], "max_dseconds":1},
% 0.12/0.38 {"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},
% 0.12/0.38 {"query_preference":1, "strategy":["unit", "max_weight"], "max_dseconds":1},
% 0.12/0.38 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "weight_select_ratio":30, "depth_penalty":100, "length_penalty":100},
% 0.12/0.38 {"length_penalty":100, "query_preference":1, "strategy":["positive_pref", "posunitpara"], "max_dseconds":1},
% 0.12/0.38 {"weight_select_ratio":100, "rewrite":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.12/0.38
% 0.12/0.38 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":10, "sine":5, "strategy":["negative_pref"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":10, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":10, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":10, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":10, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":10, "strategy":["hardness_pref","prohibit_deep_para"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":10, "strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.12/0.38 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.12/0.38 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.12/0.38 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.12/0.38 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.12/0.38 {"max_dseconds":10, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.12/0.38 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.12/0.38 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.12/0.38 {"max_dseconds":10, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.12/0.38 {"max_dseconds":10, "strategy":["unit", "prohibit_nested_para","prohibit_unordered_para"], "query_preference":1, "reverse_clauselist":1},
% 0.12/0.38 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.12/0.38 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.12/0.38 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":0, "strategy":["query_focus", "posunitpara"], "max_dseconds":10},
% 0.12/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "max_depth":2},
% 0.12/0.38 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":10},
% 0.12/0.38 {"weight_select_ratio":100, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":10},
% 0.12/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "equality":0},
% 0.12/0.38 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.12/0.38 {"var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["positive_pref"], "max_dseconds":10},
% 0.12/0.38 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.12/0.38 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.12/0.38 {"max_dseconds":10, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1, "max_size":17},
% 0.12/0.38 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":10, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":10, "sine":5, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.12/0.38 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.12/0.38 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.12/0.38 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.12/0.38 {"max_dseconds":10, "strategy":["unit", "pure_unit"], "max_size":30, "max_depth":10, "max_weight":300, "weight_select_ratio":1, "rewrite":0},
% 0.12/0.38 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.12/0.38 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":2},
% 0.12/0.38 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
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% 0.12/0.38 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.12/0.38 {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.12/0.38 {"max_dseconds":1250, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.12/0.38 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "rewrite":0}
% 0.12/0.38
% 0.12/0.38 ]}
% 0.12/0.38
% 0.12/0.38
% 0.12/0.38 **** run 1 fork 0 starts with strategy
% 0.12/0.38 {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.12/0.38
% 0.12/0.38 **** run 2 fork 1 starts with strategy
% 0.12/0.38 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.12/0.38
% 0.12/0.38 **** run 3 fork 2 starts with strategy
% 0.12/0.38 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1}
% 0.12/0.38
% 0.12/0.38 **** run 4 fork 3 starts with strategy
% 0.12/0.38 {"max_dseconds":1,"sine":5,"strategy":["negative_pref"],"query_preference":1}
% 0.12/0.38
% 0.12/0.38 **** run 5 fork 4 starts with strategy
% 0.12/0.38 {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para"],"query_preference":0}
% 0.12/0.38
% 0.12/0.38 **** run 6 fork 5 starts with strategy
% 0.12/0.38 {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":0}
% 0.12/0.38
% 0.12/0.38 **** run 8 fork 7 starts with strategy
% 0.12/0.38 {"max_dseconds":1,"strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"],"query_preference":0}
% 0.12/0.38
% 0.12/0.38 **** run 7 fork 6 starts with strategy
% 0.12/0.38 {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":1}
% 0.18/0.42
% 0.18/0.42 fork 3: search finished without proof.
% 0.18/0.45
% 0.18/0.45
% 0.18/0.45 result: proof found
% 0.18/0.45 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.18/0.45 by run 2 fork 1 strategy {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.18/0.45 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.18/0.45
% 0.18/0.45 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.18/0.45 fof('prove_t8_$sk', plain, (~selection_favors(efficient_producers,first_movers,$sk1) & (slow_change($sk1) & observational_period($sk1))),
% 0.18/0.45 inference(negpush_and_skolemize,[],['prove_t8'])).
% 0.18/0.45 fof('prove_t8', conjecture, (! [P] : ((observational_period(P) & slow_change(P)) => selection_favors(efficient_producers,first_movers,P))),
% 0.18/0.45 input).
% 0.18/0.45 fof('mp3_favoured_trategy_$sk', plain, (selection_favors(efficient_producers,first_movers,X1) | ((~selection_favors(efficient_producers,first_movers,end_time($sk3(X1))) & (in_environment(X1,$sk3(X1)) & environment($sk3(X1)))) | (~propagation_strategy(efficient_producers) | (~propagation_strategy(first_movers) | ~observational_period(X1))))),
% 0.18/0.45 inference(negpush_and_skolemize,[],['mp3_favoured_trategy'])).
% 0.18/0.45 fof('mp3_favoured_trategy', axiom, (! [P] : ((((observational_period(P) & propagation_strategy(first_movers)) & propagation_strategy(efficient_producers)) & (! [E] : ((environment(E) & in_environment(P,E)) => selection_favors(efficient_producers,first_movers,end_time(E))))) => selection_favors(efficient_producers,first_movers,P))),
% 0.18/0.45 input).
% 0.18/0.45 fof('mp_organizational_sets1', axiom, propagation_strategy(first_movers),
% 0.18/0.45 input).
% 0.18/0.45 fof('mp_organizational_sets2', axiom, propagation_strategy(efficient_producers),
% 0.18/0.45 input).
% 0.18/0.45 fof('mp_time_in_environment_$sk', plain, (in_environment(X2,X1) | (~greater_or_equal(end_time(X2),X1) | (~greater_or_equal(X1,start_time(X2)) | ~environment(X2)))),
% 0.18/0.45 inference(negpush_and_skolemize,[],['mp_time_in_environment'])).
% 0.18/0.45 fof('mp_time_in_environment', axiom, (! [E,T] : (((environment(E) & greater_or_equal(T,start_time(E))) & greater_or_equal(end_time(E),T)) => in_environment(E,T))),
% 0.18/0.45 input).
% 0.18/0.45 fof('mp_greater_or_equal_$sk', plain, ((~greater_or_equal(X2,X1) | ((X2 = X1) | greater(X2,X1))) & (greater_or_equal(X4,X3) | (~(X4 = X3) & ~greater(X4,X3)))),
% 0.18/0.45 inference(negpush_and_skolemize,[],['mp_greater_or_equal'])).
% 0.18/0.45 fof('mp_greater_or_equal', axiom, (! [X,Y] : (greater_or_equal(X,Y) <=> (greater(X,Y) | (X = Y)))),
% 0.18/0.45 input).
% 0.18/0.45 fof('mp_environment_end_point_$sk', plain, (greater_or_equal(end_time(X2),X1) | (~in_environment(X2,X1) | ~environment(X2))),
% 0.18/0.45 inference(negpush_and_skolemize,[],['mp_environment_end_point'])).
% 0.18/0.45 fof('mp_environment_end_point', axiom, (! [E,T] : ((environment(E) & in_environment(E,T)) => greater_or_equal(end_time(E),T))),
% 0.18/0.45 input).
% 0.18/0.45 fof('l8_$sk', plain, (selection_favors(efficient_producers,first_movers,X2) | (~greater(X2,critical_point(X1)) | (~in_environment(X1,X2) | ~environment(X1)))),
% 0.18/0.45 inference(negpush_and_skolemize,[],['l8'])).
% 0.18/0.45 fof('l8', hypothesis, (! [E,T] : (((environment(E) & in_environment(E,T)) & greater(T,critical_point(E))) => selection_favors(efficient_producers,first_movers,T))),
% 0.18/0.45 input).
% 0.18/0.45 fof('mp_greater_transitivity_$sk', plain, (greater(X3,X2) | (~greater(X1,X2) | ~greater(X3,X1))),
% 0.18/0.45 inference(negpush_and_skolemize,[],['mp_greater_transitivity'])).
% 0.18/0.45 fof('mp_greater_transitivity', axiom, (! [X,Y,Z] : ((greater(X,Y) & greater(Y,Z)) => greater(X,Z))),
% 0.18/0.45 input).
% 0.18/0.45 fof('mp4_critical_point_$sk', plain, (((greater($sk2(X1,X2),critical_point(X2)) & in_environment(X2,$sk2(X1,X2))) | (~in_environment(X1,X2) | ~environment(X2))) | (~slow_change(X1) | ~observational_period(X1))),
% 0.18/0.45 inference(negpush_and_skolemize,[],['mp4_critical_point'])).
% 0.18/0.45 fof('mp4_critical_point', axiom, (! [P] : ((observational_period(P) & slow_change(P)) => (! [E] : ((environment(E) & in_environment(P,E)) => (? [T] : (in_environment(E,T) & greater(T,critical_point(E)))))))),
% 0.18/0.45 input).
% 0.18/0.45 fof('mp_time_of_critical_point_$sk', plain, (greater_or_equal(critical_point(X1),start_time(X1)) | ~environment(X1)),
% 0.18/0.45 inference(negpush_and_skolemize,[],['mp_time_of_critical_point'])).
% 0.18/0.45 fof('mp_time_of_critical_point', axiom, (! [E] : (environment(E) => greater_or_equal(critical_point(E),start_time(E)))),
% 0.18/0.45 input).
% 0.18/0.45 cnf('1', plain, (observational_period($sk1)),
% 0.18/0.45 inference(cnf_transformation,[],['prove_t8_$sk'])).
% 0.18/0.45 cnf('2', plain, (~propagation_strategy(first_movers) | ~propagation_strategy(efficient_producers) | selection_favors(efficient_producers,first_movers,X) | environment($sk3(X)) | ~observational_period(X)),
% 0.18/0.45 inference(cnf_transformation,[],['mp3_favoured_trategy_$sk'])).
% 0.18/0.45 cnf('3', plain, (propagation_strategy(first_movers)),
% 0.18/0.45 inference(cnf_transformation,[],['mp_organizational_sets1'])).
% 0.18/0.45 cnf('4', plain, (propagation_strategy(efficient_producers)),
% 0.18/0.45 inference(cnf_transformation,[],['mp_organizational_sets2'])).
% 0.18/0.45 cnf('5', plain, (~selection_favors(efficient_producers,first_movers,$sk1)),
% 0.18/0.45 inference(cnf_transformation,[],['prove_t8_$sk'])).
% 0.18/0.45 cnf('6', plain, (environment($sk3($sk1))),
% 0.18/0.45 inference(resolution,[then_simplify],['1','2','3','4','5'])).
% 0.18/0.45 cnf('7', plain, (~greater_or_equal(end_time(X),Y) | ~greater_or_equal(Y,start_time(X)) | in_environment(X,Y) | ~environment(X)),
% 0.18/0.45 inference(cnf_transformation,[],['mp_time_in_environment_$sk'])).
% 0.18/0.45 cnf('8', plain, (~greater_or_equal(end_time($sk3($sk1)),X) | ~greater_or_equal(X,start_time($sk3($sk1))) | in_environment($sk3($sk1),X)),
% 0.18/0.45 inference(resolution,[],['6','7'])).
% 0.18/0.45 cnf('9', plain, (X != Y | greater_or_equal(X,Y)),
% 0.18/0.45 inference(cnf_transformation,[],['mp_greater_or_equal_$sk'])).
% 0.18/0.45 cnf('10', plain, (end_time($sk3($sk1)) != X | ~greater_or_equal(X,start_time($sk3($sk1))) | in_environment($sk3($sk1),X)),
% 0.18/0.45 inference(resolution,[],['8','9'])).
% 0.18/0.45 cnf('11', plain, (greater_or_equal(end_time(X),Y) | ~in_environment(X,Y) | ~environment(X)),
% 0.18/0.45 inference(cnf_transformation,[],['mp_environment_end_point_$sk'])).
% 0.18/0.45 cnf('12', plain, (greater_or_equal(end_time($sk3($sk1)),X) | ~in_environment($sk3($sk1),X)),
% 0.18/0.45 inference(resolution,[],['6','11'])).
% 0.18/0.45 cnf('13', plain, (~greater_or_equal(X,Y) | greater(X,Y) | X = Y),
% 0.18/0.45 inference(cnf_transformation,[],['mp_greater_or_equal_$sk'])).
% 0.18/0.45 cnf('14', plain, (greater(end_time($sk3($sk1)),X) | end_time($sk3($sk1)) = X | ~in_environment($sk3($sk1),X)),
% 0.18/0.45 inference(resolution,[],['12','13'])).
% 0.18/0.45 cnf('15', plain, (~propagation_strategy(first_movers) | ~propagation_strategy(efficient_producers) | ~selection_favors(efficient_producers,first_movers,end_time($sk3(X))) | selection_favors(efficient_producers,first_movers,X) | ~observational_period(X)),
% 0.18/0.45 inference(cnf_transformation,[],['mp3_favoured_trategy_$sk'])).
% 0.18/0.45 cnf('16', plain, (~selection_favors(efficient_producers,first_movers,end_time($sk3($sk1)))),
% 0.18/0.45 inference(resolution,[then_simplify],['1','15','3','4','5'])).
% 0.18/0.45 cnf('17', plain, (greater(end_time($sk3($sk1)),X) | ~in_environment($sk3($sk1),X) | ~selection_favors(efficient_producers,first_movers,X)),
% 0.18/0.45 inference(paramodulation,[],['14','16'])).
% 0.18/0.45 cnf('18', plain, (~greater(X,critical_point(Y)) | selection_favors(efficient_producers,first_movers,X) | ~in_environment(Y,X) | ~environment(Y)),
% 0.18/0.45 inference(cnf_transformation,[],['l8_$sk'])).
% 0.18/0.45 cnf('19', plain, (~greater(X,critical_point($sk3($sk1))) | ~in_environment($sk3($sk1),X) | selection_favors(efficient_producers,first_movers,X)),
% 0.18/0.45 inference(resolution,[],['6','18'])).
% 0.18/0.45 cnf('20', plain, (~greater(X,Y) | ~greater(Z,X) | greater(Z,Y)),
% 0.18/0.45 inference(cnf_transformation,[],['mp_greater_transitivity_$sk'])).
% 0.18/0.45 cnf('21', plain, (~greater(X,critical_point($sk3($sk1))) | ~in_environment($sk3($sk1),Y) | selection_favors(efficient_producers,first_movers,Y) | ~greater(Y,X)),
% 0.18/0.45 inference(resolution,[],['19','20'])).
% 0.18/0.45 cnf('22', plain, (slow_change($sk1)),
% 0.18/0.45 inference(cnf_transformation,[],['prove_t8_$sk'])).
% 0.18/0.45 cnf('23', plain, (greater($sk2(X,Y),critical_point(Y)) | ~in_environment(X,Y) | ~slow_change(X) | ~environment(Y) | ~observational_period(X)),
% 0.18/0.45 inference(cnf_transformation,[],['mp4_critical_point_$sk'])).
% 0.18/0.45 cnf('24', plain, (observational_period($sk1)),
% 0.18/0.45 inference(cnf_transformation,[],['prove_t8_$sk'])).
% 0.18/0.45 cnf('25', plain, (greater($sk2($sk1,X),critical_point(X)) | ~in_environment($sk1,X) | ~environment(X)),
% 0.18/0.45 inference(resolution,[then_simplify],['22','23','24'])).
% 0.18/0.45 cnf('26', plain, (~propagation_strategy(first_movers) | ~propagation_strategy(efficient_producers) | in_environment(X,$sk3(X)) | selection_favors(efficient_producers,first_movers,X) | ~observational_period(X)),
% 0.18/0.45 inference(cnf_transformation,[],['mp3_favoured_trategy_$sk'])).
% 0.18/0.45 cnf('27', plain, (in_environment($sk1,$sk3($sk1))),
% 0.18/0.45 inference(resolution,[then_simplify],['1','26','3','4','5'])).
% 0.18/0.45 cnf('28', plain, (environment($sk3($sk1))),
% 0.18/0.45 inference(resolution,[then_simplify],['1','2','3','4','5'])).
% 0.18/0.45 cnf('29', plain, (~greater(X,$sk2($sk1,$sk3($sk1))) | ~in_environment($sk3($sk1),X) | selection_favors(efficient_producers,first_movers,X)),
% 0.18/0.45 inference(resolution,[then_simplify],['21','25','27','28'])).
% 0.18/0.45 cnf('30', plain, (in_environment($sk1,$sk3($sk1))),
% 0.18/0.45 inference(resolution,[then_simplify],['1','26','3','4','5'])).
% 0.18/0.45 cnf('31', plain, (in_environment(X,$sk2(Y,X)) | ~in_environment(Y,X) | ~slow_change(Y) | ~environment(X) | ~observational_period(Y)),
% 0.18/0.45 inference(cnf_transformation,[],['mp4_critical_point_$sk'])).
% 0.18/0.45 cnf('32', plain, (slow_change($sk1)),
% 0.18/0.45 inference(cnf_transformation,[],['prove_t8_$sk'])).
% 0.18/0.45 cnf('33', plain, (in_environment($sk3($sk1),$sk2($sk1,$sk3($sk1)))),
% 0.18/0.45 inference(resolution,[then_simplify],['30','31','32','28','24'])).
% 0.18/0.45 cnf('34', plain, (in_environment($sk3($sk1),$sk2($sk1,$sk3($sk1)))),
% 0.18/0.45 inference(resolution,[then_simplify],['30','31','32','28','24'])).
% 0.18/0.45 cnf('35', plain, (greater($sk2($sk1,$sk3($sk1)),critical_point($sk3($sk1)))),
% 0.18/0.45 inference(resolution,[then_simplify],['30','23','32','28','24'])).
% 0.18/0.45 cnf('36', plain, (selection_favors(efficient_producers,first_movers,$sk2($sk1,$sk3($sk1)))),
% 0.18/0.45 inference(resolution,[then_simplify],['34','18','35','28'])).
% 0.18/0.45 cnf('37', plain, (~selection_favors(efficient_producers,first_movers,end_time($sk3($sk1)))),
% 0.18/0.45 inference(resolution,[then_simplify],['1','15','3','4','5'])).
% 0.18/0.45 cnf('38', plain, (~in_environment($sk3($sk1),end_time($sk3($sk1)))),
% 0.18/0.45 inference(resolution,[then_simplify],['17','29','33','36','37'])).
% 0.18/0.45 cnf('39', plain, (~greater_or_equal(end_time($sk3($sk1)),start_time($sk3($sk1)))),
% 0.18/0.45 inference(reflexivity,[then_simplify],['10','38'])).
% 0.18/0.45 cnf('40', plain, (~in_environment($sk3($sk1),end_time($sk3($sk1)))),
% 0.18/0.45 inference(resolution,[then_simplify],['17','29','33','36','37'])).
% 0.18/0.45 cnf('41', plain, (greater(end_time($sk3($sk1)),X) | ~in_environment($sk3($sk1),X)),
% 0.18/0.45 inference(paramodulation,[],['14','40'])).
% 0.18/0.45 cnf('42', plain, (greater(end_time($sk3($sk1)),X) | ~in_environment($sk3($sk1),Y) | ~greater(Y,X)),
% 0.18/0.45 inference(resolution,[],['41','20'])).
% 0.18/0.45 cnf('43', plain, (~greater(X,Y) | greater_or_equal(X,Y)),
% 0.18/0.45 inference(cnf_transformation,[],['mp_greater_or_equal_$sk'])).
% 0.18/0.45 cnf('44', plain, (greater_or_equal(end_time($sk3($sk1)),X) | ~in_environment($sk3($sk1),Y) | ~greater(Y,X)),
% 0.18/0.45 inference(resolution,[],['42','43'])).
% 0.18/0.45 cnf('45', plain, (~greater(X,start_time($sk3($sk1))) | ~in_environment($sk3($sk1),X)),
% 0.18/0.45 inference(resolution,[],['39','44'])).
% 0.18/0.45 cnf('46', plain, (greater($sk2($sk1,$sk3($sk1)),critical_point($sk3($sk1)))),
% 0.18/0.45 inference(resolution,[then_simplify],['30','23','32','28','24'])).
% 0.18/0.45 cnf('47', plain, (greater($sk2($sk1,$sk3($sk1)),X) | ~greater(critical_point($sk3($sk1)),X)),
% 0.18/0.45 inference(resolution,[],['46','20'])).
% 0.18/0.45 cnf('48', plain, (~greater(critical_point($sk3($sk1)),start_time($sk3($sk1)))),
% 0.18/0.45 inference(resolution,[then_simplify],['45','47','33'])).
% 0.18/0.45 cnf('49', plain, (greater_or_equal(critical_point(X),start_time(X)) | ~environment(X)),
% 0.18/0.45 inference(cnf_transformation,[],['mp_time_of_critical_point_$sk'])).
% 0.18/0.45 cnf('50', plain, (greater_or_equal(critical_point($sk3($sk1)),start_time($sk3($sk1)))),
% 0.18/0.45 inference(resolution,[],['6','49'])).
% 0.18/0.45 cnf('51', plain, (critical_point($sk3($sk1)) = start_time($sk3($sk1))),
% 0.18/0.45 inference(resolution,[then_simplify],['48','13','50'])).
% 0.18/0.45 cnf('52', plain, (~greater(X,$sk2($sk1,$sk3($sk1))) | greater(X,critical_point($sk3($sk1)))),
% 0.18/0.45 inference(resolution,[],['46','20'])).
% 0.18/0.45 cnf('53', plain, (greater(end_time($sk3($sk1)),critical_point($sk3($sk1)))),
% 0.18/0.45 inference(resolution,[then_simplify],['17','52','33','36'])).
% 0.18/0.45 cnf('54', plain, (greater_or_equal(end_time($sk3($sk1)),critical_point($sk3($sk1)))),
% 0.18/0.45 inference(resolution,[],['53','43'])).
% 0.18/0.45 cnf('55', plain, (in_environment($sk3($sk1),critical_point($sk3($sk1)))),
% 0.18/0.45 inference(resolution,[then_simplify],['54','7','50','28'])).
% 0.18/0.45 cnf('56', plain, (~in_environment($sk3($sk1),start_time($sk3($sk1)))),
% 0.18/0.45 inference(resolution,[then_simplify],['39','11','28'])).
% 0.18/0.45 cnf('57', plain, ($false),
% 0.18/0.45 inference(paramodulation,[then_simplify],['51','55','56'])).
% 0.18/0.45
% 0.18/0.45 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.18/0.45
% 0.18/0.45 run 2 fork 1 statistics:
% 0.18/0.45 ----------------------------------
% 0.18/0.45 this run seconds: 0.034071
% 0.18/0.45 total seconds: 0.064527
% 0.18/0.45 stat_given_used: 129
% 0.18/0.45 stat_given_used_at_endgame: 0
% 0.18/0.45 stat_given_candidates: 215
% 0.18/0.45 stat_given_candidates_at_endgame: 0
% 0.18/0.45 stat_given_candidates_h: 0
% 0.18/0.45 stat_binres_derived_cl: 918
% 0.18/0.45 stat_binres_derived_cl_h: 0
% 0.18/0.45 stat_factor_derived_cl: 13
% 0.18/0.45 stat_para_derived_cl: 894
% 0.18/0.45 stat_tautologies_discarded: 18
% 0.18/0.45 stat_forward_subsumed: 122
% 0.18/0.45 stat_derived_cut: 415
% 0.18/0.45 stat_derived_rewritten: 0
% 0.18/0.45 stat_weight_discarded_building: 0
% 0.18/0.45 stat_weight_discarded_cl: 0
% 0.18/0.45 stat_internlimit_discarded_cl: 0
% 0.18/0.45 stat_simplified: 0 simplified 0 derived 0 given
% 0.18/0.45 stat_kept_cl: 1667
% 0.18/0.45 stat_built_cl: 1955
% 0.18/0.45 stat_hyperres_partial_cl: 0
% 0.18/0.45 stat_made_rewriters: 0
% 0.18/0.45 stat_backward_subsumed: 0
% 0.18/0.45 stat_propagated_subsumed: 0
% 0.18/0.45 stat_clsubs_attempted: 258
% 0.18/0.45 stat_clsubs_fact_groundunit_found: 2
% 0.18/0.45 stat_clsubs_rule_groundunit_found: 4
% 0.18/0.45 stat_clsubs_top_meta_attempted: 12357
% 0.18/0.45 stat_clsubs_top_meta_failed: 12099
% 0.18/0.45 stat_clsubs_top_meta_nonpref_attempted: 12357
% 0.18/0.45 stat_clsubs_top_meta_nonpref_succeeded: 3057
% 0.18/0.45 stat_clsubs_top_meta_pref_attempted: 3057
% 0.18/0.45 stat_clsubs_top_meta_pref1_succeeded: 553
% 0.18/0.45 stat_clsubs_top_meta_pref2_succeeded: 330
% 0.18/0.45 stat_clsubs_top_meta_pref3_succeeded: 258
% 0.18/0.45 stat_clsubs_top_meta_pref_succeeded: 258
% 0.18/0.45 stat_clsubs_meta_attempted: 953
% 0.18/0.45 stat_clsubs_meta_failed: 309
% 0.18/0.45 stat_clsubs_predsymbs_attempted: 0
% 0.18/0.45 stat_clsubs_unit_attempted: 0
% 0.18/0.45 stat_clsubs_full_attempted: 258
% 0.18/0.45 stat_forwardsubs_attempted: 1790
% 0.18/0.45 stat_lit_hash_added: 140
% 0.18/0.45 stat_lit_hash_computed: 16258
% 0.18/0.45 stat_lit_hash_match_found: 799
% 0.18/0.45 stat_lit_hash_match_miss: 26245
% 0.18/0.45 stat_lit_hash_cut_ok: 671
% 0.18/0.45 stat_lit_strong_cut_ok: 0
% 0.18/0.45 stat_lit_hash_subsume_ok: 122
% 0.18/0.45 clqueue els 10000000 used 1
% 0.18/0.45 clactive els 10000000 used 145
% 0.18/0.45 clactivesubsume els 10000000 used 727
% 0.18/0.45 queue_termbuf els 200000000 used 181152
% 0.18/0.45 hyper_termbuf els 100000000 used 1
% 0.18/0.45 active_termbuf els 100000000 used 8058
% 0.18/0.45 varstack els 5000 last used 1
% 0.18/0.45 given_termbuf els 10000000 last used 1
% 0.18/0.45 simplified_termbuf els 10000000 last used 1
% 0.18/0.45 derived_termbuf els 10000000 last used 41
% 0.18/0.45 wr_mallocs: 2689
% 0.18/0.45 wr_callocs: 21
% 0.18/0.45 wr_reallocs: 95
% 0.18/0.45 wr_frees: 2
% 0.18/0.45 wr_malloc_bytes: 4162676324
% 0.18/0.45 wr_calloc_bytes: 112065536
% 0.18/0.45 wr_realloc_bytes: 28560
% 0.18/0.45 wr_realloc_freebytes: 0
% 0.18/0.45 ----------------------------------
%------------------------------------------------------------------------------