TSTP Solution File: MGT034+2 by GKC---0.8

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : GKC---0.8
% Problem  : MGT034+2 : TPTP v8.1.2. Released v2.0.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : gkc %s

% Computer : n018.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 09:13:43 EDT 2023

% Result   : Theorem 0.19s 0.53s
% Output   : CNFRefutation 0.19s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12  % Problem  : MGT034+2 : TPTP v8.1.2. Released v2.0.0.
% 0.00/0.13  % Command  : gkc %s
% 0.13/0.34  % Computer : n018.cluster.edu
% 0.13/0.34  % Model    : x86_64 x86_64
% 0.13/0.34  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.34  % Memory   : 8042.1875MB
% 0.13/0.34  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.13/0.34  % CPULimit : 300
% 0.13/0.34  % WCLimit  : 300
% 0.13/0.34  % DateTime : Mon Aug 28 06:35:01 EDT 2023
% 0.13/0.34  % CPUTime  : 
% 0.13/0.39  
% 0.13/0.39  input clause set summed statistics:
% 0.13/0.39  ----------------------------------
% 0.13/0.39  in_clause_count:                    30
% 0.13/0.39  in_rule_clause_count:               29
% 0.13/0.39  in_fact_clause_count:                1
% 0.13/0.39  in_answer_clause_count:              0
% 0.13/0.39  in_ground_clause_count:              5
% 0.13/0.39  in_unit_clause_count:                5
% 0.13/0.39  in_horn_clause_count:               27
% 0.13/0.39  in_pos_clause_count:                 4
% 0.13/0.39  in_neg_clause_count:                 3
% 0.13/0.39  in_poseq_clause_count:               1
% 0.13/0.39  in_negeq_clause_count:               3
% 0.13/0.39  in_unitposeq_clause_count:           0
% 0.13/0.39  in_chain_clause_count:               0
% 0.13/0.39  in_min_length:             1
% 0.13/0.39  in_max_length:             7
% 0.13/0.39  in_min_depth:              1
% 0.13/0.39  in_max_depth:              3
% 0.13/0.39  in_min_size:               2
% 0.13/0.39  in_max_size:              39
% 0.13/0.39  in_min_vars:               0
% 0.13/0.39  in_max_vars:               4
% 0.13/0.39  in_extaxiom_count:                 0
% 0.13/0.39  in_axiom_count:                   21
% 0.13/0.39  in_assumption_count:               4
% 0.13/0.39  in_goal_count:                     5
% 0.13/0.39  in_neg_goal_count:                 1
% 0.13/0.39  in_pos_goal_count:                 4
% 0.13/0.39  in_posunit_goal_count:             4
% 0.13/0.39  
% 0.13/0.39  auto guide:
% 0.13/0.39  -----------
% 0.13/0.39  {
% 0.13/0.39  "print":1,
% 0.13/0.39  "print_level": 15,
% 0.13/0.39  "max_size": 0,
% 0.13/0.39  "max_depth": 0,
% 0.13/0.39  "max_length": 0,
% 0.13/0.39  "max_dseconds": 0,
% 0.13/0.39  "runs":[
% 0.13/0.39  {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":1, "sine":5, "strategy":["negative_pref"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":1, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["hardness_pref","prohibit_deep_para"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.13/0.39  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.13/0.39  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.13/0.39  {"max_dseconds":1, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.13/0.39  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.13/0.39  {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para","prohibit_unordered_para"], "query_preference":1, "reverse_clauselist":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.13/0.39  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.13/0.39  {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":0, "strategy":["query_focus", "posunitpara"], "max_dseconds":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":2},
% 0.13/0.39  {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":1},
% 0.13/0.39  {"weight_select_ratio":100, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "equality":0},
% 0.13/0.39  {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.13/0.39  {"var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["positive_pref"], "max_dseconds":1},
% 0.13/0.39  {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.13/0.39  {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1, "max_size":17},
% 0.13/0.39  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":1, "sine":5, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.13/0.39  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.13/0.39  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.13/0.39  {"max_dseconds":1, "strategy":["unit", "pure_unit"], "max_size":30, "max_depth":10, "max_weight":300, "weight_select_ratio":1, "rewrite":0},
% 0.13/0.39  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":2},
% 0.13/0.39  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.13/0.39  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "rewrite":0},
% 0.13/0.39  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "rewrite":0},
% 0.13/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.13/0.39  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":2},
% 0.13/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "length_penalty":100},
% 0.13/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":3},
% 0.13/0.39  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":30, "depth_penalty":100},
% 0.13/0.39  {"max_dseconds":1, "strategy":["negative_pref", "posunitpara"], "query_preference":1, "max_depth":2, "depth_penalty":50, "length_penalty":100},
% 0.13/0.39  {"max_dseconds":1, "strategy":["unit", "pure_unit"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":1},
% 0.13/0.39  {"depth_penalty":50, "query_preference":2, "strategy":["negative_pref"], "max_dseconds":1},
% 0.13/0.39  {"max_depth":0, "length_penalty":100, "query_preference":2, "strategy":["hardness_pref", "posunitpara"], "max_dseconds":1},
% 0.13/0.39  {"weight_select_ratio":100, "query_preference":1, "strategy":["negative_pref"], "max_dseconds":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "max_depth":2},
% 0.13/0.39  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.13/0.39  {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["unit", "pure_unit"], "weight_select_ratio":1, "query_preference":0},
% 0.13/0.39  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.13/0.39  {"var_weight":70, "repeat_var_weight":70, "rewrite":0, "length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["hardness_pref", "max_weight"], "max_dseconds":1},
% 0.13/0.39  {"max_depth":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.13/0.39  {"depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":0, "depth_penalty":50, "length_penalty":100},
% 0.13/0.39  {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.13/0.39  {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.13/0.39  {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "max_depth":2},
% 0.13/0.39  {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":1, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.13/0.39  {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.13/0.39  {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight","prohibit_unordered_para"], "max_dseconds":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["query_focus", "posunitpara"], "query_preference":1, "depth_penalty":50, "length_penalty":100},
% 0.13/0.39  {"depth_penalty":50, "query_preference":1, "strategy":["hardness_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.13/0.39  {"rewrite":0, "depth_penalty":50, "query_preference":1, "strategy":["query_focus", "hornpref"], "max_dseconds":1},
% 0.13/0.39  {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "length_penalty":100, "query_preference":1, "strategy":["query_focus", "prohibit_nested_para"], "max_dseconds":1},
% 0.13/0.39  {"query_preference":1, "strategy":["unit", "max_weight"], "max_dseconds":1},
% 0.13/0.39  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "weight_select_ratio":30, "depth_penalty":100, "length_penalty":100},
% 0.13/0.39  {"length_penalty":100, "query_preference":1, "strategy":["positive_pref", "posunitpara"], "max_dseconds":1},
% 0.13/0.39  {"weight_select_ratio":100, "rewrite":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.13/0.39  
% 0.13/0.39  {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":10, "sine":5, "strategy":["negative_pref"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":10, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":10, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":10, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":10, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":10, "strategy":["hardness_pref","prohibit_deep_para"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":10, "strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.13/0.39  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.13/0.39  {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.13/0.39  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.13/0.39  {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.13/0.39  {"max_dseconds":10, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.13/0.39  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.13/0.39  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.13/0.39  {"max_dseconds":10, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.13/0.39  {"max_dseconds":10, "strategy":["unit", "prohibit_nested_para","prohibit_unordered_para"], "query_preference":1, "reverse_clauselist":1},
% 0.13/0.39  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.13/0.39  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.13/0.39  {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":0, "strategy":["query_focus", "posunitpara"], "max_dseconds":10},
% 0.13/0.39  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "max_depth":2},
% 0.13/0.39  {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":10},
% 0.13/0.39  {"weight_select_ratio":100, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":10},
% 0.13/0.39  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "equality":0},
% 0.13/0.39  {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.13/0.39  {"var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["positive_pref"], "max_dseconds":10},
% 0.13/0.39  {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.13/0.39  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.13/0.39  {"max_dseconds":10, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1, "max_size":17},
% 0.13/0.39  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":10, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":10, "sine":5, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
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% 0.13/0.39  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.13/0.39  {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.13/0.39  {"max_dseconds":1250, "strategy":["positive_pref"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.13/0.39  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.13/0.39  {"max_dseconds":1250, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.13/0.39  {"max_dseconds":1250, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.13/0.39  {"max_dseconds":1250, "strategy":["query_focus", "double"], "query_preference":1},
% 0.13/0.39  {"max_dseconds":1250, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.13/0.39  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.13/0.39  {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.13/0.39  {"max_dseconds":1250, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.13/0.39  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "rewrite":0} 
% 0.13/0.39  
% 0.13/0.39  ]}
% 0.13/0.39  
% 0.13/0.39  
% 0.13/0.39  **** run 1 fork 0 starts with strategy
% 0.13/0.39  {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.13/0.39  
% 0.13/0.39  **** run 2 fork 1 starts with strategy
% 0.13/0.39  {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.13/0.39  
% 0.13/0.39  **** run 3 fork 2 starts with strategy
% 0.13/0.39  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1}
% 0.19/0.39  
% 0.19/0.39  **** run 4 fork 3 starts with strategy
% 0.19/0.39  {"max_dseconds":1,"sine":5,"strategy":["negative_pref"],"query_preference":1}
% 0.19/0.40  
% 0.19/0.40  **** run 5 fork 4 starts with strategy
% 0.19/0.40  
% 0.19/0.40  **** run 6 fork 5 starts with strategy
% 0.19/0.40  {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":0}
% 0.19/0.40  {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para"],"query_preference":0}
% 0.19/0.40  
% 0.19/0.40  **** run 7 fork 6 starts with strategy
% 0.19/0.40  {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":1}
% 0.19/0.40  
% 0.19/0.40  **** run 8 fork 7 starts with strategy
% 0.19/0.40  {"max_dseconds":1,"strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"],"query_preference":0}
% 0.19/0.44  
% 0.19/0.44  fork 3: search finished without proof.
% 0.19/0.46  
% 0.19/0.46  fork 6: search finished without proof.
% 0.19/0.46  
% 0.19/0.46  fork 0: search finished without proof.
% 0.19/0.46  
% 0.19/0.46  fork 7: search finished without proof.
% 0.19/0.47  
% 0.19/0.47  fork 5: search finished without proof.
% 0.19/0.48  
% 0.19/0.48  **** run 12 fork 3 starts with strategy
% 0.19/0.48  {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":1}
% 0.19/0.49  
% 0.19/0.49  **** run 9 fork 0 starts with strategy
% 0.19/0.49  {"max_dseconds":1,"strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"],"query_preference":0}
% 0.19/0.49  
% 0.19/0.49  **** run 15 fork 6 starts with strategy
% 0.19/0.49  {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"],"query_preference":0}
% 0.19/0.50  
% 0.19/0.50  **** run 16 fork 7 starts with strategy
% 0.19/0.50  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"weight_select_ratio":100,"depth_penalty":100,"length_penalty":100}
% 0.19/0.50  
% 0.19/0.50  **** run 14 fork 5 starts with strategy
% 0.19/0.50  {"max_dseconds":1,"strategy":["hardness_pref","prohibit_deep_para"],"query_preference":1}
% 0.19/0.53  
% 0.19/0.53  
% 0.19/0.53  fork 1: search terminated without proof.
% 0.19/0.53  
% 0.19/0.53  
% 0.19/0.53  result: proof found
% 0.19/0.53  for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.19/0.53  by run 16 fork 7 strategy {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"weight_select_ratio":100,"depth_penalty":100,"length_penalty":100}
% 0.19/0.53  % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.19/0.53  
% 0.19/0.53  % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.19/0.53  fof('mp_decreasing_function_$sk', plain, ((greater(difference(growth_rate(first_movers,X3),growth_rate(efficient_producers,X3)),zero) | ~decreases(difference(growth_rate(first_movers,X3),growth_rate(efficient_producers,X3)))) | (~greater(X1,X3) | (~greater_or_equal(X3,appear(efficient_producers,X2)) | (~greater_or_equal(difference(growth_rate(first_movers,X1),growth_rate(efficient_producers,X1)),zero) | (~in_environment(X2,X1) | ~environment(X2)))))),
% 0.19/0.53    inference(negpush_and_skolemize,[],['mp_decreasing_function'])).
% 0.19/0.53  fof('mp_decreasing_function', axiom, (! [E,T,To] : (((((environment(E) & in_environment(E,To)) & greater_or_equal(difference(growth_rate(first_movers,To),growth_rate(efficient_producers,To)),zero)) & greater_or_equal(T,appear(efficient_producers,E))) & greater(To,T)) => (decreases(difference(growth_rate(first_movers,T),growth_rate(efficient_producers,T))) => greater(difference(growth_rate(first_movers,T),growth_rate(efficient_producers,T)),zero)))),
% 0.19/0.53    input). 
% 0.19/0.53  fof('mp_relationship_of_growth_rates_$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)))),
% 0.19/0.53    inference(negpush_and_skolemize,[],['mp_relationship_of_growth_rates'])).
% 0.19/0.53  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))),
% 0.19/0.53    input). 
% 0.19/0.53  fof('mp_critical_point_means_FM_and_EP_$sk', plain, (subpopulations(first_movers,efficient_producers,X1,critical_point(X1)) | (~in_environment(X1,critical_point(X1)) | ~environment(X1))),
% 0.19/0.53    inference(negpush_and_skolemize,[],['mp_critical_point_means_FM_and_EP'])).
% 0.19/0.53  fof('mp_critical_point_means_FM_and_EP', axiom, (! [E] : ((environment(E) & in_environment(E,critical_point(E))) => subpopulations(first_movers,efficient_producers,E,critical_point(E)))),
% 0.19/0.53    input). 
% 0.19/0.53  fof('prove_t3_$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))))),
% 0.19/0.53    inference(negpush_and_skolemize,[],['prove_t3'])).
% 0.19/0.53  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))),
% 0.19/0.53    input). 
% 0.19/0.53  fof('mp_critical_time_points_$sk', plain, (in_environment(X2,X1) | (~greater(critical_point(X2),X1) | (~greater_or_equal(X1,appear(efficient_producers,X2)) | (~in_environment(X2,critical_point(X2)) | ~environment(X2))))),
% 0.19/0.53    inference(negpush_and_skolemize,[],['mp_critical_time_points'])).
% 0.19/0.53  fof('mp_critical_time_points', axiom, (! [E,T] : ((((environment(E) & in_environment(E,critical_point(E))) & greater_or_equal(T,appear(efficient_producers,E))) & greater(critical_point(E),T)) => in_environment(E,T))),
% 0.19/0.53    input). 
% 0.19/0.53  fof('mp_greater_or_equal_$sk', plain, ((~greater_or_equal(X2,X1) | ((X2 = X1) | greater(X2,X1))) & (greater_or_equal(X4,X3) | (~(X4 = X3) & ~greater(X4,X3)))),
% 0.19/0.53    inference(negpush_and_skolemize,[],['mp_greater_or_equal'])).
% 0.19/0.53  fof('mp_greater_or_equal', axiom, (! [X,Y] : (greater_or_equal(X,Y) <=> (greater(X,Y) | (X = Y)))),
% 0.19/0.53    input). 
% 0.19/0.53  fof('mp_FM_and_EP_members_EP_appeared_$sk', plain, (greater_or_equal(X2,appear(efficient_producers,X1)) | (~subpopulations(first_movers,efficient_producers,X1,X2) | ~environment(X1))),
% 0.19/0.53    inference(negpush_and_skolemize,[],['mp_FM_and_EP_members_EP_appeared'])).
% 0.19/0.53  fof('mp_FM_and_EP_members_EP_appeared', axiom, (! [E,T] : ((environment(E) & subpopulations(first_movers,efficient_producers,E,T)) => greater_or_equal(T,appear(efficient_producers,E)))),
% 0.19/0.53    input). 
% 0.19/0.53  fof('mp_durations_are_time_intervals_$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)))))),
% 0.19/0.53    inference(negpush_and_skolemize,[],['mp_durations_are_time_intervals'])).
% 0.19/0.53  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))),
% 0.19/0.53    input). 
% 0.19/0.53  fof('mp_FM_and_EP_when_EP_appears_$sk', plain, (subpopulations(first_movers,efficient_producers,X1,appear(efficient_producers,X1)) | (~in_environment(X1,appear(efficient_producers,X1)) | ~environment(X1))),
% 0.19/0.53    inference(negpush_and_skolemize,[],['mp_FM_and_EP_when_EP_appears'])).
% 0.19/0.53  fof('mp_FM_and_EP_when_EP_appears', axiom, (! [E] : ((environment(E) & in_environment(E,appear(efficient_producers,E))) => subpopulations(first_movers,efficient_producers,E,appear(efficient_producers,E)))),
% 0.19/0.53    input). 
% 0.19/0.53  fof('a10_$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)))))),
% 0.19/0.53    inference(negpush_and_skolemize,[],['a10'])).
% 0.19/0.53  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))),
% 0.19/0.53    input). 
% 0.19/0.53  fof('a12_$sk', plain, (decreases(difference(founding_rate(first_movers,X2),founding_rate(efficient_producers,X2))) | (~subpopulations(first_movers,efficient_producers,X1,X2) | ~environment(X1))),
% 0.19/0.53    inference(negpush_and_skolemize,[],['a12'])).
% 0.19/0.53  fof('a12', hypothesis, (! [E,T] : ((environment(E) & subpopulations(first_movers,efficient_producers,E,T)) => decreases(difference(founding_rate(first_movers,T),founding_rate(efficient_producers,T))))),
% 0.19/0.53    input). 
% 0.19/0.53  fof('mp_difference_between_founding_rates_$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))))),
% 0.19/0.53    inference(negpush_and_skolemize,[],['mp_difference_between_founding_rates'])).
% 0.19/0.53  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))))),
% 0.19/0.53    input). 
% 0.19/0.53  fof('l3_$sk', plain, (~decreases(difference(disbanding_rate(first_movers,X2),disbanding_rate(efficient_producers,X2))) | (~subpopulations(first_movers,efficient_producers,X1,X2) | ~environment(X1))),
% 0.19/0.53    inference(negpush_and_skolemize,[],['l3'])).
% 0.19/0.53  fof('l3', axiom, (! [E,T] : ((environment(E) & subpopulations(first_movers,efficient_producers,E,T)) => ~decreases(difference(disbanding_rate(first_movers,T),disbanding_rate(efficient_producers,T))))),
% 0.19/0.53    input). 
% 0.19/0.53  fof('mp_negative_growth_rate_difference_$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)))),
% 0.19/0.53    inference(negpush_and_skolemize,[],['mp_negative_growth_rate_difference'])).
% 0.19/0.53  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)))),
% 0.19/0.53    input). 
% 0.19/0.53  fof('mp_positive_growth_rate_difference_$sk', plain, ((~greater(difference(growth_rate(first_movers,X1),growth_rate(efficient_producers,X1)),zero) | greater(growth_rate(first_movers,X1),growth_rate(efficient_producers,X1))) & (greater(difference(growth_rate(first_movers,X2),growth_rate(efficient_producers,X2)),zero) | ~greater(growth_rate(first_movers,X2),growth_rate(efficient_producers,X2)))),
% 0.19/0.53    inference(negpush_and_skolemize,[],['mp_positive_growth_rate_difference'])).
% 0.19/0.53  fof('mp_positive_growth_rate_difference', axiom, (! [T] : (greater(difference(growth_rate(first_movers,T),growth_rate(efficient_producers,T)),zero) <=> greater(growth_rate(first_movers,T),growth_rate(efficient_producers,T)))),
% 0.19/0.53    input). 
% 0.19/0.53  fof('d1_$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))),
% 0.19/0.53    inference(negpush_and_skolemize,[],['d1'])).
% 0.19/0.53  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))))))),
% 0.19/0.53    input). 
% 0.19/0.53  fof('mp1_high_growth_rates_$sk', plain, (selection_favors(X4,X3,X2) | (~greater(growth_rate(X4,X2),growth_rate(X3,X2)) | (~subpopulations(X3,X4,X1,X2) | ~environment(X1)))),
% 0.19/0.53    inference(negpush_and_skolemize,[],['mp1_high_growth_rates'])).
% 0.19/0.53  fof('mp1_high_growth_rates', axiom, (! [E,S1,S2,T] : (((environment(E) & subpopulations(S1,S2,E,T)) & greater(growth_rate(S2,T),growth_rate(S1,T))) => selection_favors(S2,S1,T))),
% 0.19/0.53    input). 
% 0.19/0.53  fof('mp_symmetry_of_subpopulations_$sk', plain, (subpopulations(efficient_producers,first_movers,X2,X1) | (~subpopulations(first_movers,efficient_producers,X2,X1) | ~environment(X2))),
% 0.19/0.53    inference(negpush_and_skolemize,[],['mp_symmetry_of_subpopulations'])).
% 0.19/0.53  fof('mp_symmetry_of_subpopulations', axiom, (! [E,T] : ((environment(E) & subpopulations(first_movers,efficient_producers,E,T)) => subpopulations(efficient_producers,first_movers,E,T))),
% 0.19/0.53    input). 
% 0.19/0.53  cnf('1', 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)),
% 0.19/0.53    inference(cnf_transformation,[],['mp_decreasing_function_$sk'])).
% 0.19/0.53  cnf('2', plain, (greater(zero,difference(growth_rate(first_movers,X),growth_rate(efficient_producers,X))) | greater_or_equal(difference(growth_rate(first_movers,X),growth_rate(efficient_producers,X)),zero) | ~subpopulations(first_movers,efficient_producers,Y,X) | ~environment(Y)),
% 0.19/0.53    inference(cnf_transformation,[],['mp_relationship_of_growth_rates_$sk'])).
% 0.19/0.53  cnf('3', plain, (subpopulations(first_movers,efficient_producers,X,critical_point(X)) | ~in_environment(X,critical_point(X)) | ~environment(X)),
% 0.19/0.53    inference(cnf_transformation,[],['mp_critical_point_means_FM_and_EP_$sk'])).
% 0.19/0.53  cnf('4', plain, (in_environment($sk1,critical_point($sk1))),
% 0.19/0.53    inference(cnf_transformation,[],['prove_t3_$sk'])).
% 0.19/0.53  cnf('5', plain, (environment($sk1)),
% 0.19/0.53    inference(cnf_transformation,[],['prove_t3_$sk'])).
% 0.19/0.53  cnf('6', plain, (subpopulations(first_movers,efficient_producers,$sk1,critical_point($sk1))),
% 0.19/0.53    inference(resolution,[then_simplify],['3','4','5'])).
% 0.19/0.53  cnf('7', 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)),
% 0.19/0.53    inference(resolution,[then_simplify],['2','6','5'])).
% 0.19/0.53  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)),
% 0.19/0.53    inference(resolution,[],['1','7'])).
% 0.19/0.53  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)),
% 0.19/0.53    inference(cnf_transformation,[],['mp_critical_time_points_$sk'])).
% 0.19/0.53  cnf('10', plain, (X != Y | greater_or_equal(X,Y)),
% 0.19/0.53    inference(cnf_transformation,[],['mp_greater_or_equal_$sk'])).
% 0.19/0.53  cnf('11', plain, (greater_or_equal(X,X)),
% 0.19/0.53    inference(reflexivity,[],['10'])).
% 0.19/0.53  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)),
% 0.19/0.53    inference(resolution,[],['9','11'])).
% 0.19/0.53  cnf('13', plain, (greater_or_equal(X,appear(efficient_producers,Y)) | ~subpopulations(first_movers,efficient_producers,Y,X) | ~environment(Y)),
% 0.19/0.53    inference(cnf_transformation,[],['mp_FM_and_EP_members_EP_appeared_$sk'])).
% 0.19/0.53  cnf('14', plain, (greater_or_equal(critical_point($sk1),appear(efficient_producers,$sk1))),
% 0.19/0.53    inference(resolution,[then_simplify],['6','13','5'])).
% 0.19/0.53  cnf('15', plain, (~greater_or_equal(X,Y) | greater(X,Y) | X = Y),
% 0.19/0.53    inference(cnf_transformation,[],['mp_greater_or_equal_$sk'])).
% 0.19/0.53  cnf('16', plain, (greater(critical_point($sk1),appear(efficient_producers,$sk1)) | critical_point($sk1) = appear(efficient_producers,$sk1)),
% 0.19/0.53    inference(resolution,[],['14','15'])).
% 0.19/0.53  cnf('17', plain, (in_environment($sk1,critical_point($sk1))),
% 0.19/0.53    inference(cnf_transformation,[],['prove_t3_$sk'])).
% 0.19/0.53  cnf('18', plain, (critical_point($sk1) = appear(efficient_producers,$sk1) | in_environment($sk1,appear(efficient_producers,$sk1))),
% 0.19/0.53    inference(resolution,[then_simplify],['12','16','17','5'])).
% 0.19/0.53  cnf('19', plain, (greater_or_equal($sk2,appear(efficient_producers,$sk1))),
% 0.19/0.53    inference(cnf_transformation,[],['prove_t3_$sk'])).
% 0.19/0.53  cnf('20', plain, (greater(critical_point($sk1),$sk2)),
% 0.19/0.53    inference(cnf_transformation,[],['prove_t3_$sk'])).
% 0.19/0.53  cnf('21', plain, (in_environment($sk1,$sk2)),
% 0.19/0.53    inference(resolution,[then_simplify],['9','19','20','17','5'])).
% 0.19/0.53  cnf('22', plain, (~greater_or_equal(X,Y) | ~greater_or_equal(Y,Z) | ~in_environment(U,X) | ~in_environment(U,Z) | in_environment(U,Y) | ~environment(U)),
% 0.19/0.53    inference(cnf_transformation,[],['mp_durations_are_time_intervals_$sk'])).
% 0.19/0.53  cnf('23', plain, (~greater_or_equal(X,Y) | ~greater_or_equal(Y,X) | ~in_environment(Z,Y) | in_environment(Z,X) | ~environment(Z)),
% 0.19/0.53    inference(factorization,[],['22'])).
% 0.19/0.53  cnf('24', plain, (environment($sk1)),
% 0.19/0.53    inference(cnf_transformation,[],['prove_t3_$sk'])).
% 0.19/0.53  cnf('25', plain, (~in_environment($sk1,X) | in_environment($sk1,Y) | ~greater_or_equal(X,Y) | ~greater_or_equal(Y,X)),
% 0.19/0.53    inference(resolution,[],['23','24'])).
% 0.19/0.53  cnf('26', plain, (~greater_or_equal($sk2,X) | in_environment($sk1,X) | ~greater_or_equal(X,$sk2)),
% 0.19/0.53    inference(resolution,[],['21','25'])).
% 0.19/0.53  cnf('27', plain, (~greater_or_equal(appear(efficient_producers,$sk1),$sk2) | in_environment($sk1,appear(efficient_producers,$sk1))),
% 0.19/0.53    inference(resolution,[],['26','19'])).
% 0.19/0.53  cnf('28', plain, (~greater(X,Y) | greater_or_equal(X,Y)),
% 0.19/0.53    inference(cnf_transformation,[],['mp_greater_or_equal_$sk'])).
% 0.19/0.53  cnf('29', plain, (greater(critical_point($sk1),$sk2)),
% 0.19/0.53    inference(cnf_transformation,[],['prove_t3_$sk'])).
% 0.19/0.53  cnf('30', plain, (greater_or_equal(critical_point($sk1),$sk2)),
% 0.19/0.53    inference(resolution,[],['28','29'])).
% 0.19/0.53  cnf('31', plain, (in_environment($sk1,appear(efficient_producers,$sk1))),
% 0.19/0.53    inference(paramodulation,[then_simplify],['18','27','30'])).
% 0.19/0.53  cnf('32', plain, (subpopulations(first_movers,efficient_producers,X,appear(efficient_producers,X)) | ~in_environment(X,appear(efficient_producers,X)) | ~environment(X)),
% 0.19/0.53    inference(cnf_transformation,[],['mp_FM_and_EP_when_EP_appears_$sk'])).
% 0.19/0.53  cnf('33', plain, (subpopulations(first_movers,efficient_producers,$sk1,appear(efficient_producers,$sk1))),
% 0.19/0.53    inference(resolution,[then_simplify],['31','32','5'])).
% 0.19/0.53  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)),
% 0.19/0.53    inference(cnf_transformation,[],['a10_$sk'])).
% 0.19/0.53  cnf('35', plain, (~greater_or_equal(X,appear(efficient_producers,$sk1)) | ~subpopulations(first_movers,efficient_producers,$sk1,Y) | subpopulations(first_movers,efficient_producers,$sk1,X) | ~greater_or_equal(Y,X)),
% 0.19/0.53    inference(resolution,[then_simplify],['33','34','5'])).
% 0.19/0.53  cnf('36', plain, (subpopulations(first_movers,efficient_producers,$sk1,$sk2) | ~subpopulations(first_movers,efficient_producers,$sk1,X) | ~greater_or_equal(X,$sk2)),
% 0.19/0.53    inference(resolution,[],['35','19'])).
% 0.19/0.53  cnf('37', plain, (subpopulations(first_movers,efficient_producers,$sk1,$sk2)),
% 0.19/0.53    inference(resolution,[then_simplify],['36','6','30'])).
% 0.19/0.53  cnf('38', plain, (decreases(difference(founding_rate(first_movers,X),founding_rate(efficient_producers,X))) | ~subpopulations(first_movers,efficient_producers,Y,X) | ~environment(Y)),
% 0.19/0.53    inference(cnf_transformation,[],['a12_$sk'])).
% 0.19/0.53  cnf('39', plain, (decreases(difference(founding_rate(first_movers,$sk2),founding_rate(efficient_producers,$sk2)))),
% 0.19/0.53    inference(resolution,[then_simplify],['37','38','5'])).
% 0.19/0.53  cnf('40', plain, (~decreases(difference(founding_rate(first_movers,X),founding_rate(efficient_producers,X))) | decreases(difference(disbanding_rate(first_movers,X),disbanding_rate(efficient_producers,X))) | decreases(difference(growth_rate(first_movers,X),growth_rate(efficient_producers,X)))),
% 0.19/0.53    inference(cnf_transformation,[],['mp_difference_between_founding_rates_$sk'])).
% 0.19/0.53  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)))),
% 0.19/0.53    inference(resolution,[],['39','40'])).
% 0.19/0.53  cnf('42', plain, (~decreases(difference(disbanding_rate(first_movers,X),disbanding_rate(efficient_producers,X))) | ~subpopulations(first_movers,efficient_producers,Y,X) | ~environment(Y)),
% 0.19/0.53    inference(cnf_transformation,[],['l3_$sk'])).
% 0.19/0.53  cnf('43', plain, (decreases(difference(growth_rate(first_movers,$sk2),growth_rate(efficient_producers,$sk2))) | ~subpopulations(first_movers,efficient_producers,X,$sk2) | ~environment(X)),
% 0.19/0.53    inference(resolution,[],['41','42'])).
% 0.19/0.53  cnf('44', plain, (decreases(difference(growth_rate(first_movers,$sk2),growth_rate(efficient_producers,$sk2)))),
% 0.19/0.53    inference(resolution,[then_simplify],['43','37','5'])).
% 0.19/0.53  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)),
% 0.19/0.53    inference(resolution,[then_simplify],['8','44','20'])).
% 0.19/0.53  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)),
% 0.19/0.53    inference(resolution,[then_simplify],['45','19','17','5'])).
% 0.19/0.53  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))),
% 0.19/0.53    inference(cnf_transformation,[],['mp_negative_growth_rate_difference_$sk'])).
% 0.19/0.53  cnf('48', plain, (greater(difference(growth_rate(first_movers,$sk2),growth_rate(efficient_producers,$sk2)),zero) | greater(growth_rate(efficient_producers,critical_point($sk1)),growth_rate(first_movers,critical_point($sk1)))),
% 0.19/0.53    inference(resolution,[],['46','47'])).
% 0.19/0.53  cnf('49', plain, (~greater(difference(growth_rate(first_movers,X),growth_rate(efficient_producers,X)),zero) | greater(growth_rate(first_movers,X),growth_rate(efficient_producers,X))),
% 0.19/0.53    inference(cnf_transformation,[],['mp_positive_growth_rate_difference_$sk'])).
% 0.19/0.53  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))),
% 0.19/0.53    inference(resolution,[],['48','49'])).
% 0.19/0.53  cnf('51', plain, (~greater(growth_rate(efficient_producers,X),growth_rate(first_movers,X)) | X != critical_point(Y) | ~environment(Y)),
% 0.19/0.53    inference(cnf_transformation,[],['d1_$sk'])).
% 0.19/0.53  cnf('52', plain, (~greater(growth_rate(efficient_producers,critical_point(X)),growth_rate(first_movers,critical_point(X))) | ~environment(X)),
% 0.19/0.53    inference(reflexivity,[],['51'])).
% 0.19/0.53  cnf('53', plain, (greater(growth_rate(first_movers,$sk2),growth_rate(efficient_producers,$sk2))),
% 0.19/0.53    inference(resolution,[then_simplify],['50','52','5'])).
% 0.19/0.53  cnf('54', plain, (~greater(growth_rate(X,Y),growth_rate(Z,Y)) | ~subpopulations(Z,X,U,Y) | selection_favors(X,Z,Y) | ~environment(U)),
% 0.19/0.53    inference(cnf_transformation,[],['mp1_high_growth_rates_$sk'])).
% 0.19/0.53  cnf('55', plain, (~selection_favors(first_movers,efficient_producers,$sk2)),
% 0.19/0.53    inference(cnf_transformation,[],['prove_t3_$sk'])).
% 0.19/0.53  cnf('56', plain, (~subpopulations(efficient_producers,first_movers,X,$sk2) | ~environment(X)),
% 0.19/0.53    inference(resolution,[then_simplify],['53','54','55'])).
% 0.19/0.53  cnf('57', plain, (~subpopulations(first_movers,efficient_producers,X,Y) | subpopulations(efficient_producers,first_movers,X,Y) | ~environment(X)),
% 0.19/0.53    inference(cnf_transformation,[],['mp_symmetry_of_subpopulations_$sk'])).
% 0.19/0.53  cnf('58', plain, (subpopulations(efficient_producers,first_movers,$sk1,$sk2)),
% 0.19/0.53    inference(resolution,[then_simplify],['37','57','5'])).
% 0.19/0.53  cnf('59', plain, ($false),
% 0.19/0.53    inference(resolution,[then_simplify],['56','58','5'])).
% 0.19/0.53  
% 0.19/0.53  % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.19/0.53  
% 0.19/0.53  run 16 fork 7 statistics:
% 0.19/0.53  ----------------------------------
% 0.19/0.53  this run seconds: 0.014563
% 0.19/0.53  total seconds: 0.129793
% 0.19/0.53  stat_given_used: 183
% 0.19/0.53  stat_given_used_at_endgame: 0
% 0.19/0.53  stat_given_candidates:   266
% 0.19/0.53  stat_given_candidates_at_endgame: 0
% 0.19/0.53  stat_given_candidates_h: 0
% 0.19/0.53  stat_binres_derived_cl:   236
% 0.19/0.53  stat_binres_derived_cl_h: 0
% 0.19/0.53  stat_factor_derived_cl: 30
% 0.19/0.53  stat_para_derived_cl: 137
% 0.19/0.53  stat_tautologies_discarded: 18
% 0.19/0.53  stat_forward_subsumed: 116
% 0.19/0.53  stat_derived_cut: 65
% 0.19/0.53  stat_derived_rewritten: 0
% 0.19/0.53  stat_weight_discarded_building: 0
% 0.19/0.53  stat_weight_discarded_cl: 0
% 0.19/0.53  stat_internlimit_discarded_cl: 0
% 0.19/0.53  stat_simplified:  0 simplified 0 derived 0 given
% 0.19/0.53  stat_kept_cl: 259
% 0.19/0.53  stat_built_cl: 625
% 0.19/0.53  stat_hyperres_partial_cl: 0
% 0.19/0.53  stat_made_rewriters: 0
% 0.19/0.53  stat_backward_subsumed: 0
% 0.19/0.53  stat_propagated_subsumed: 0
% 0.19/0.53  stat_clsubs_attempted:                       318
% 0.19/0.53  stat_clsubs_fact_groundunit_found:             1
% 0.19/0.53  stat_clsubs_rule_groundunit_found:             1
% 0.19/0.53  stat_clsubs_top_meta_attempted:              19015
% 0.19/0.53  stat_clsubs_top_meta_failed:                 18697
% 0.19/0.53  stat_clsubs_top_meta_nonpref_attempted:               19015
% 0.19/0.53  stat_clsubs_top_meta_nonpref_succeeded:                3901
% 0.19/0.53  stat_clsubs_top_meta_pref_attempted:                   3901
% 0.19/0.53  stat_clsubs_top_meta_pref1_succeeded:                  1158
% 0.19/0.53  stat_clsubs_top_meta_pref2_succeeded:                   436
% 0.19/0.53  stat_clsubs_top_meta_pref3_succeeded:                   318
% 0.19/0.53  stat_clsubs_top_meta_pref_succeeded:                    318
% 0.19/0.53  stat_clsubs_meta_attempted:                 1024
% 0.19/0.53  stat_clsubs_meta_failed:                     470
% 0.19/0.53  stat_clsubs_predsymbs_attempted:               0
% 0.19/0.53  stat_clsubs_unit_attempted:                  109
% 0.19/0.53  stat_clsubs_full_attempted:                  209
% 0.19/0.53  stat_forwardsubs_attempted:                  376
% 0.19/0.53  stat_lit_hash_added:                    162
% 0.19/0.53  stat_lit_hash_computed:                3966
% 0.19/0.53  stat_lit_hash_match_found:              203
% 0.19/0.53  stat_lit_hash_match_miss:              5333
% 0.19/0.53  stat_lit_hash_cut_ok:                    76
% 0.19/0.53  stat_lit_strong_cut_ok:                   3
% 0.19/0.53  stat_lit_hash_subsume_ok:               116
% 0.19/0.53  clqueue els 10000000 used 1
% 0.19/0.53  clactive els 10000000 used 184
% 0.19/0.53  clactivesubsume els 10000000 used 949
% 0.19/0.53  queue_termbuf els 200000000 used 23475
% 0.19/0.53  hyper_termbuf els 100000000 used 1
% 0.19/0.53  active_termbuf els 100000000 used 10976
% 0.19/0.53  varstack els 5000 last used 1
% 0.19/0.53  given_termbuf els 10000000 last used 1
% 0.19/0.53  simplified_termbuf els 10000000 last used 1
% 0.19/0.53  derived_termbuf els 10000000 last used 21
% 0.19/0.53  wr_mallocs: 1979
% 0.19/0.53  wr_callocs: 21
% 0.19/0.53  wr_reallocs: 33
% 0.19/0.53  wr_frees: 2
% 0.19/0.53  wr_malloc_bytes: 4162646724
% 0.19/0.53  wr_calloc_bytes: 112065536
% 0.19/0.53  wr_realloc_bytes: 35800
% 0.19/0.53  wr_realloc_freebytes: 0
% 0.19/0.53  ----------------------------------
%------------------------------------------------------------------------------