TSTP Solution File: PUZ031+1 by GKC---0.8

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : GKC---0.8
% Problem  : PUZ031+1 : TPTP v8.1.2. Released v2.0.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : gkc %s

% Computer : n008.cluster.edu
% Model    : x86_64 x86_64
% CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory   : 8042.1875MB
% OS       : Linux 3.10.0-693.el7.x86_64
% CPULimit : 300s
% WCLimit  : 300s
% DateTime : Thu Aug 31 13:18:49 EDT 2023

% Result   : Theorem 0.20s 0.43s
% Output   : CNFRefutation 0.20s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12  % Problem  : PUZ031+1 : TPTP v8.1.2. Released v2.0.0.
% 0.00/0.13  % Command  : gkc %s
% 0.14/0.34  % Computer : n008.cluster.edu
% 0.14/0.34  % Model    : x86_64 x86_64
% 0.14/0.34  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.14/0.34  % Memory   : 8042.1875MB
% 0.14/0.34  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.14/0.34  % CPULimit : 300
% 0.14/0.34  % WCLimit  : 300
% 0.14/0.34  % DateTime : Sat Aug 26 22:24:47 EDT 2023
% 0.14/0.34  % CPUTime  : 
% 0.20/0.39  
% 0.20/0.39  input clause set summed statistics:
% 0.20/0.39  ----------------------------------
% 0.20/0.39  in_clause_count:                    26
% 0.20/0.39  in_rule_clause_count:               20
% 0.20/0.39  in_fact_clause_count:                6
% 0.20/0.39  in_answer_clause_count:              0
% 0.20/0.39  in_ground_clause_count:              6
% 0.20/0.39  in_unit_clause_count:                6
% 0.20/0.39  in_horn_clause_count:               25
% 0.20/0.39  in_pos_clause_count:                 6
% 0.20/0.39  in_neg_clause_count:                 4
% 0.20/0.39  in_poseq_clause_count:               0
% 0.20/0.39  in_negeq_clause_count:               0
% 0.20/0.39  in_unitposeq_clause_count:           0
% 0.20/0.39  in_chain_clause_count:               6
% 0.20/0.39  in_min_length:             1
% 0.20/0.39  in_max_length:             8
% 0.20/0.39  in_min_depth:              1
% 0.20/0.39  in_max_depth:              2
% 0.20/0.39  in_min_size:               2
% 0.20/0.39  in_max_size:              20
% 0.20/0.39  in_min_vars:               0
% 0.20/0.39  in_max_vars:               4
% 0.20/0.39  in_extaxiom_count:                 0
% 0.20/0.39  in_axiom_count:                   25
% 0.20/0.39  in_assumption_count:               0
% 0.20/0.39  in_goal_count:                     1
% 0.20/0.39  in_neg_goal_count:                 1
% 0.20/0.39  in_pos_goal_count:                 0
% 0.20/0.39  in_posunit_goal_count:             0
% 0.20/0.39  
% 0.20/0.39  auto guide:
% 0.20/0.39  -----------
% 0.20/0.39  {
% 0.20/0.39  "print":1,
% 0.20/0.39  "print_level": 15,
% 0.20/0.39  "max_size": 0,
% 0.20/0.39  "max_depth": 0,
% 0.20/0.39  "max_length": 0,
% 0.20/0.39  "max_dseconds": 0,
% 0.20/0.39  "equality":0,
% 0.20/0.39  "runs":[
% 0.20/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":1, "sine":5, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":1, "strategy":["negative_pref"],  "weight_select_ratio":100, "query_preference":0},
% 0.20/0.39  {"max_dseconds":1, "strategy":["hardness_pref"],  "weight_select_ratio":100, "query_preference":0},
% 0.20/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.39  {"max_dseconds":1, "strategy":["unit"],  "weight_select_ratio":100, "query_preference":0},
% 0.20/0.39  {"max_dseconds":1, "strategy":["negative_pref"],  "weight_select_ratio":100, "query_preference":0, "var_weight":70, "repeat_var_weight":70},
% 0.20/0.39  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39  {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.39  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.20/0.39  {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.39  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.39  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.39  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "weight_select_ratio":20},
% 0.20/0.39  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":2},
% 0.20/0.39  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":2},
% 0.20/0.39  {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.39  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "max_depth":5, "query_preference":0},
% 0.20/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "max_weight":40, "query_preference":0},
% 0.20/0.39  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.39  
% 0.20/0.39  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":10, "sine":5, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":10, "strategy":["negative_pref"],  "weight_select_ratio":100, "query_preference":0},
% 0.20/0.39  {"max_dseconds":10, "strategy":["hardness_pref"],  "weight_select_ratio":100, "query_preference":0},
% 0.20/0.39  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.39  {"max_dseconds":10, "strategy":["unit"],  "weight_select_ratio":100, "query_preference":0},
% 0.20/0.39  {"max_dseconds":10, "strategy":["negative_pref"],  "weight_select_ratio":100, "query_preference":0, "var_weight":70, "repeat_var_weight":70},
% 0.20/0.39  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.39  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39  {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.39  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.20/0.39  {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.39  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.39  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.39  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.20/0.39  {"max_dseconds":10, "strategy":["negative_pref"], "weight_select_ratio":20},
% 0.20/0.39  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":2},
% 0.20/0.39  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":2},
% 0.20/0.39  {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.39  {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.39  {"max_dseconds":10, "strategy":["negative_pref"], "max_depth":5, "query_preference":0},
% 0.20/0.39  {"max_dseconds":10, "strategy":["negative_pref"], "max_weight":40, "query_preference":0},
% 0.20/0.39  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.39  
% 0.20/0.39  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":50, "sine":5, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":50, "strategy":["negative_pref"],  "weight_select_ratio":100, "query_preference":0},
% 0.20/0.39  {"max_dseconds":50, "strategy":["hardness_pref"],  "weight_select_ratio":100, "query_preference":0},
% 0.20/0.39  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.39  {"max_dseconds":50, "strategy":["unit"],  "weight_select_ratio":100, "query_preference":0},
% 0.20/0.39  {"max_dseconds":50, "strategy":["negative_pref"],  "weight_select_ratio":100, "query_preference":0, "var_weight":70, "repeat_var_weight":70},
% 0.20/0.39  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.39  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39  {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.39  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.20/0.39  {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.39  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.39  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.39  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.20/0.39  {"max_dseconds":50, "strategy":["negative_pref"], "weight_select_ratio":20},
% 0.20/0.39  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":2},
% 0.20/0.39  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":2},
% 0.20/0.39  {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.39  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.39  {"max_dseconds":50, "strategy":["negative_pref"], "max_depth":5, "query_preference":0},
% 0.20/0.39  {"max_dseconds":50, "strategy":["negative_pref"], "max_weight":40, "query_preference":0},
% 0.20/0.39  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.39  
% 0.20/0.39  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39  {"max_dseconds":250, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":250, "strategy":["unit"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":250, "strategy":["unit"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":250, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":250},
% 0.20/0.39  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":250},
% 0.20/0.39  {"max_dseconds":250, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.39  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":250},
% 0.20/0.39  {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39  {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.39  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":250},
% 0.20/0.39  {"max_dseconds":250, "strategy":["negative_pref"], "weight_select_ratio":20},
% 0.20/0.39  {"max_dseconds":250, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.39  
% 0.20/0.39  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39  {"max_dseconds":1250, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":1250, "strategy":["unit"], "query_preference":1},
% 0.20/0.39  {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1250},
% 0.20/0.39  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1250},
% 0.20/0.39  {"max_dseconds":1250, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.39  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1250},
% 0.20/0.39  {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.39  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1250},
% 0.20/0.39  {"max_dseconds":1250, "strategy":["negative_pref"], "weight_select_ratio":20},
% 0.20/0.39  {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":0} 
% 0.20/0.39  
% 0.20/0.39  ]}
% 0.20/0.39  
% 0.20/0.39  
% 0.20/0.39  **** run 1 fork 0 starts with strategy
% 0.20/0.39  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0}
% 0.20/0.39  
% 0.20/0.39  **** run 2 fork 1 starts with strategy
% 0.20/0.39  {"max_dseconds":1,"sine":5,"strategy":["negative_pref"],"query_preference":0}
% 0.20/0.39  
% 0.20/0.39  **** run 3 fork 2 starts with strategy
% 0.20/0.39  {"max_dseconds":1,"strategy":["negative_pref"],"weight_select_ratio":100,"query_preference":0}
% 0.20/0.39  
% 0.20/0.39  **** run 4 fork 3 starts with strategy
% 0.20/0.39  {"max_dseconds":1,"strategy":["hardness_pref"],"weight_select_ratio":100,"query_preference":0}
% 0.20/0.39  
% 0.20/0.39  **** run 5 fork 4 starts with strategy
% 0.20/0.39  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"weight_select_ratio":100,"depth_penalty":100,"length_penalty":100}
% 0.20/0.40  
% 0.20/0.40  **** run 6 fork 5 starts with strategy
% 0.20/0.40  
% 0.20/0.40  **** run 7 fork 6 starts with strategy
% 0.20/0.40  {"max_dseconds":1,"strategy":["negative_pref"],"weight_select_ratio":100,"query_preference":0,"var_weight":70,"repeat_var_weight":70}
% 0.20/0.40  {"max_dseconds":1,"strategy":["unit"],"weight_select_ratio":100,"query_preference":0}
% 0.20/0.40  
% 0.20/0.40  **** run 8 fork 7 starts with strategy
% 0.20/0.40  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":100,"depth_penalty":100,"length_penalty":100}
% 0.20/0.42  
% 0.20/0.42  fork 1: search finished without proof.
% 0.20/0.43  
% 0.20/0.43  
% 0.20/0.43  result: proof found
% 0.20/0.43  for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.20/0.43  by run 5 fork 4 strategy {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"weight_select_ratio":100,"depth_penalty":100,"length_penalty":100}
% 0.20/0.43  % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.20/0.43  
% 0.20/0.43  % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.20/0.43  fof('pel47_7_$sk', plain, (((eats(X1,X2) | ((~eats(X2,X3) | ~plant(X3)) | (~much_smaller(X2,X1) | ~animal(X2)))) | (eats(X1,X4) | ~plant(X4))) | ~animal(X1)),
% 0.20/0.43    inference(negpush_and_skolemize,[],['pel47_7'])).
% 0.20/0.43  fof('pel47_7', axiom, (! [X] : (animal(X) => ((! [Y] : (plant(Y) => eats(X,Y))) | (! [Y1] : (((animal(Y1) & much_smaller(Y1,X)) & (? [Z] : (plant(Z) & eats(Y1,Z)))) => eats(X,Y1)))))),
% 0.20/0.43    input). 
% 0.20/0.43  fof('pel47_6_2_$sk', plain, (plant(X1) | ~grain(X1)),
% 0.20/0.43    inference(negpush_and_skolemize,[],['pel47_6_2'])).
% 0.20/0.43  fof('pel47_6_2', axiom, (! [X1] : (grain(X1) => plant(X1))),
% 0.20/0.43    input). 
% 0.20/0.43  fof('pel47_6_1_$sk', plain, grain($sk2),
% 0.20/0.43    inference(negpush_and_skolemize,[],['pel47_6_1'])).
% 0.20/0.43  fof('pel47_6_1', axiom, (? [X] : grain(X)),
% 0.20/0.43    input). 
% 0.20/0.43  fof('pel47_14_$sk', plain, ((eats(X1,$sk1(X1)) & plant($sk1(X1))) | (~snail(X1) & ~caterpillar(X1))),
% 0.20/0.43    inference(negpush_and_skolemize,[],['pel47_14'])).
% 0.20/0.43  fof('pel47_14', axiom, (! [X] : ((caterpillar(X) | snail(X)) => (? [Y] : (plant(Y) & eats(X,Y))))),
% 0.20/0.43    input). 
% 0.20/0.43  fof('pel47_5_2_$sk', plain, snail($sk3),
% 0.20/0.43    inference(negpush_and_skolemize,[],['pel47_5_2'])).
% 0.20/0.43  fof('pel47_5_2', axiom, (? [X1] : snail(X1)),
% 0.20/0.43    input). 
% 0.20/0.43  fof('pel47_5_1_$sk', plain, (animal(X1) | ~snail(X1)),
% 0.20/0.43    inference(negpush_and_skolemize,[],['pel47_5_1'])).
% 0.20/0.43  fof('pel47_5_1', axiom, (! [X] : (snail(X) => animal(X))),
% 0.20/0.43    input). 
% 0.20/0.43  fof('pel47_8_$sk', plain, (much_smaller(X2,X1) | ((~caterpillar(X2) & ~snail(X2)) | ~bird(X1))),
% 0.20/0.43    inference(negpush_and_skolemize,[],['pel47_8'])).
% 0.20/0.43  fof('pel47_8', axiom, (! [X,Y] : ((bird(Y) & (snail(X) | caterpillar(X))) => much_smaller(X,Y))),
% 0.20/0.43    input). 
% 0.20/0.43  fof('pel47_3_2_$sk', plain, bird($sk5),
% 0.20/0.43    inference(negpush_and_skolemize,[],['pel47_3_2'])).
% 0.20/0.43  fof('pel47_3_2', axiom, (? [X1] : bird(X1)),
% 0.20/0.43    input). 
% 0.20/0.43  fof('pel47_3_1_$sk', plain, (animal(X1) | ~bird(X1)),
% 0.20/0.43    inference(negpush_and_skolemize,[],['pel47_3_1'])).
% 0.20/0.43  fof('pel47_3_1', axiom, (! [X] : (bird(X) => animal(X))),
% 0.20/0.43    input). 
% 0.20/0.43  fof('pel47_9_$sk', plain, (much_smaller(X2,X1) | (~fox(X1) | ~bird(X2))),
% 0.20/0.43    inference(negpush_and_skolemize,[],['pel47_9'])).
% 0.20/0.43  fof('pel47_9', axiom, (! [X,Y] : ((bird(X) & fox(Y)) => much_smaller(X,Y))),
% 0.20/0.43    input). 
% 0.20/0.43  fof('pel47_2_2_$sk', plain, fox($sk6),
% 0.20/0.43    inference(negpush_and_skolemize,[],['pel47_2_2'])).
% 0.20/0.43  fof('pel47_2_2', axiom, (? [X1] : fox(X1)),
% 0.20/0.43    input). 
% 0.20/0.43  fof('pel47_2_1_$sk', plain, (animal(X1) | ~fox(X1)),
% 0.20/0.43    inference(negpush_and_skolemize,[],['pel47_2_1'])).
% 0.20/0.43  fof('pel47_2_1', axiom, (! [X] : (fox(X) => animal(X))),
% 0.20/0.43    input). 
% 0.20/0.43  fof('pel47_13_$sk', plain, (~eats(X2,X1) | (~snail(X1) | ~bird(X2))),
% 0.20/0.43    inference(negpush_and_skolemize,[],['pel47_13'])).
% 0.20/0.43  fof('pel47_13', axiom, (! [X,Y] : ((bird(X) & snail(Y)) => ~eats(X,Y))),
% 0.20/0.43    input). 
% 0.20/0.43  fof('pel47_10_$sk', plain, (much_smaller(X2,X1) | (~wolf(X1) | ~fox(X2))),
% 0.20/0.43    inference(negpush_and_skolemize,[],['pel47_10'])).
% 0.20/0.43  fof('pel47_10', axiom, (! [X,Y] : ((fox(X) & wolf(Y)) => much_smaller(X,Y))),
% 0.20/0.43    input). 
% 0.20/0.43  fof('pel47_1_2_$sk', plain, wolf($sk7),
% 0.20/0.43    inference(negpush_and_skolemize,[],['pel47_1_2'])).
% 0.20/0.43  fof('pel47_1_2', axiom, (? [X1] : wolf(X1)),
% 0.20/0.43    input). 
% 0.20/0.43  fof('pel47_1_1_$sk', plain, (animal(X1) | ~wolf(X1)),
% 0.20/0.43    inference(negpush_and_skolemize,[],['pel47_1_1'])).
% 0.20/0.43  fof('pel47_1_1', axiom, (! [X] : (wolf(X) => animal(X))),
% 0.20/0.43    input). 
% 0.20/0.43  fof('pel47_$sk', plain, ((~eats(X2,X1) | (~eats(X1,X3) | ~grain(X3))) | (~animal(X1) | ~animal(X2))),
% 0.20/0.43    inference(negpush_and_skolemize,[],['pel47'])).
% 0.20/0.43  fof('pel47', conjecture, (? [X,Y] : ((animal(X) & animal(Y)) & (? [Z] : ((grain(Z) & eats(Y,Z)) & eats(X,Y))))),
% 0.20/0.43    input). 
% 0.20/0.43  fof('pel47_11_$sk', plain, (~eats(X2,X1) | ((~grain(X1) & ~fox(X1)) | ~wolf(X2))),
% 0.20/0.43    inference(negpush_and_skolemize,[],['pel47_11'])).
% 0.20/0.43  fof('pel47_11', axiom, (! [X,Y] : ((wolf(X) & (fox(Y) | grain(Y))) => ~eats(X,Y))),
% 0.20/0.43    input). 
% 0.20/0.43  cnf('1', plain, (~much_smaller(X,Y) | ~eats(X,Z) | eats(Y,U) | eats(Y,X) | ~plant(U) | ~plant(Z) | ~animal(X) | ~animal(Y)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_7_$sk'])).
% 0.20/0.43  cnf('2', plain, (~grain(X) | plant(X)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_6_2_$sk'])).
% 0.20/0.43  cnf('3', plain, (grain($sk2)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_6_1_$sk'])).
% 0.20/0.43  cnf('4', plain, (plant($sk2)),
% 0.20/0.43    inference(resolution,[],['2','3'])).
% 0.20/0.43  cnf('5', plain, (~much_smaller(X,Y) | ~eats(X,Z) | eats(Y,$sk2) | eats(Y,X) | ~plant(Z) | ~animal(Y) | ~animal(X)),
% 0.20/0.43    inference(resolution,[],['1','4'])).
% 0.20/0.43  cnf('6', plain, (plant($sk1(X)) | ~snail(X)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_14_$sk'])).
% 0.20/0.43  cnf('7', plain, (snail($sk3)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_5_2_$sk'])).
% 0.20/0.43  cnf('8', plain, (plant($sk1($sk3))),
% 0.20/0.43    inference(resolution,[],['6','7'])).
% 0.20/0.43  cnf('9', plain, (~eats(X,$sk1($sk3)) | ~much_smaller(X,Y) | eats(Y,$sk2) | eats(Y,X) | ~animal(Y) | ~animal(X)),
% 0.20/0.43    inference(resolution,[],['5','8'])).
% 0.20/0.43  cnf('10', plain, (eats(X,$sk1(X)) | ~snail(X)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_14_$sk'])).
% 0.20/0.43  cnf('11', plain, (eats($sk3,$sk1($sk3))),
% 0.20/0.43    inference(resolution,[],['10','7'])).
% 0.20/0.43  cnf('12', plain, (~snail(X) | animal(X)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_5_1_$sk'])).
% 0.20/0.43  cnf('13', plain, (animal($sk3)),
% 0.20/0.43    inference(resolution,[],['12','7'])).
% 0.20/0.43  cnf('14', plain, (~much_smaller($sk3,X) | eats(X,$sk2) | eats(X,$sk3) | ~animal(X)),
% 0.20/0.43    inference(resolution,[then_simplify],['9','11','13'])).
% 0.20/0.43  cnf('15', plain, (much_smaller(X,Y) | ~snail(X) | ~bird(Y)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_8_$sk'])).
% 0.20/0.43  cnf('16', plain, (much_smaller($sk3,X) | ~bird(X)),
% 0.20/0.43    inference(resolution,[],['15','7'])).
% 0.20/0.43  cnf('17', plain, (bird($sk5)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_3_2_$sk'])).
% 0.20/0.43  cnf('18', plain, (much_smaller($sk3,$sk5)),
% 0.20/0.43    inference(resolution,[],['16','17'])).
% 0.20/0.43  cnf('19', plain, (~bird(X) | animal(X)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_3_1_$sk'])).
% 0.20/0.43  cnf('20', plain, (animal($sk5)),
% 0.20/0.43    inference(resolution,[],['19','17'])).
% 0.20/0.43  cnf('21', plain, (eats($sk5,$sk3) | eats($sk5,$sk2)),
% 0.20/0.43    inference(resolution,[then_simplify],['14','18','20'])).
% 0.20/0.43  cnf('22', plain, (~much_smaller(X,Y) | ~eats(X,Z) | eats(Y,Z) | eats(Y,X) | ~plant(Z) | ~animal(Y) | ~animal(X)),
% 0.20/0.43    inference(factorization,[],['1'])).
% 0.20/0.43  cnf('23', plain, (~much_smaller(X,Y) | ~eats(X,$sk2) | eats(Y,$sk2) | eats(Y,X) | ~animal(Y) | ~animal(X)),
% 0.20/0.43    inference(resolution,[],['22','4'])).
% 0.20/0.43  cnf('24', plain, (eats($sk5,$sk3) | ~much_smaller($sk5,X) | eats(X,$sk2) | eats(X,$sk5) | ~animal(X)),
% 0.20/0.43    inference(resolution,[then_simplify],['21','23','20'])).
% 0.20/0.43  cnf('25', plain, (much_smaller(X,Y) | ~bird(X) | ~fox(Y)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_9_$sk'])).
% 0.20/0.43  cnf('26', plain, (much_smaller($sk5,X) | ~fox(X)),
% 0.20/0.43    inference(resolution,[],['25','17'])).
% 0.20/0.43  cnf('27', plain, (fox($sk6)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_2_2_$sk'])).
% 0.20/0.43  cnf('28', plain, (much_smaller($sk5,$sk6)),
% 0.20/0.43    inference(resolution,[],['26','27'])).
% 0.20/0.43  cnf('29', plain, (~fox(X) | animal(X)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_2_1_$sk'])).
% 0.20/0.43  cnf('30', plain, (animal($sk6)),
% 0.20/0.43    inference(resolution,[],['29','27'])).
% 0.20/0.43  cnf('31', plain, (eats($sk6,$sk5) | eats($sk5,$sk3) | eats($sk6,$sk2)),
% 0.20/0.43    inference(resolution,[then_simplify],['24','28','30'])).
% 0.20/0.43  cnf('32', plain, (~eats(X,Y) | ~snail(Y) | ~bird(X)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_13_$sk'])).
% 0.20/0.43  cnf('33', plain, (~eats(X,$sk3) | ~bird(X)),
% 0.20/0.43    inference(resolution,[],['32','7'])).
% 0.20/0.43  cnf('34', plain, (bird($sk5)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_3_2_$sk'])).
% 0.20/0.43  cnf('35', plain, (eats($sk6,$sk5) | eats($sk6,$sk2)),
% 0.20/0.43    inference(resolution,[then_simplify],['31','33','34'])).
% 0.20/0.43  cnf('36', plain, (eats($sk6,$sk5) | ~much_smaller($sk6,X) | eats(X,$sk2) | eats(X,$sk6) | ~animal(X)),
% 0.20/0.43    inference(resolution,[then_simplify],['35','23','30'])).
% 0.20/0.43  cnf('37', plain, (much_smaller(X,Y) | ~fox(X) | ~wolf(Y)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_10_$sk'])).
% 0.20/0.43  cnf('38', plain, (much_smaller($sk6,X) | ~wolf(X)),
% 0.20/0.43    inference(resolution,[],['37','27'])).
% 0.20/0.43  cnf('39', plain, (wolf($sk7)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_1_2_$sk'])).
% 0.20/0.43  cnf('40', plain, (much_smaller($sk6,$sk7)),
% 0.20/0.43    inference(resolution,[],['38','39'])).
% 0.20/0.43  cnf('41', plain, (~wolf(X) | animal(X)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_1_1_$sk'])).
% 0.20/0.43  cnf('42', plain, (animal($sk7)),
% 0.20/0.43    inference(resolution,[],['41','39'])).
% 0.20/0.43  cnf('43', plain, (eats($sk7,$sk6) | eats($sk6,$sk5) | eats($sk7,$sk2)),
% 0.20/0.43    inference(resolution,[then_simplify],['36','40','42'])).
% 0.20/0.43  cnf('44', plain, (~eats(X,Y) | ~eats(Z,X) | ~grain(Y) | ~animal(X) | ~animal(Z)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_$sk'])).
% 0.20/0.43  cnf('45', plain, (~eats(X,Y) | ~eats(Y,$sk2) | ~animal(X) | ~animal(Y)),
% 0.20/0.43    inference(resolution,[],['3','44'])).
% 0.20/0.43  cnf('46', plain, (eats($sk5,$sk3) | ~eats(X,$sk5) | ~animal(X)),
% 0.20/0.43    inference(resolution,[then_simplify],['21','45','20'])).
% 0.20/0.43  cnf('47', plain, (eats($sk7,$sk6) | eats($sk7,$sk2) | eats($sk5,$sk3)),
% 0.20/0.43    inference(resolution,[then_simplify],['43','46','30'])).
% 0.20/0.43  cnf('48', plain, (eats($sk7,$sk6) | eats($sk7,$sk2)),
% 0.20/0.43    inference(resolution,[then_simplify],['47','33','34'])).
% 0.20/0.43  cnf('49', plain, (~eats(X,Y) | ~grain(Y) | ~wolf(X)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_11_$sk'])).
% 0.20/0.43  cnf('50', plain, (~eats(X,$sk2) | ~wolf(X)),
% 0.20/0.43    inference(resolution,[],['49','3'])).
% 0.20/0.43  cnf('51', plain, (wolf($sk7)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_1_2_$sk'])).
% 0.20/0.43  cnf('52', plain, (eats($sk7,$sk6)),
% 0.20/0.43    inference(resolution,[then_simplify],['48','50','51'])).
% 0.20/0.43  cnf('53', plain, (~eats(X,Y) | ~fox(Y) | ~wolf(X)),
% 0.20/0.43    inference(cnf_transformation,[],['pel47_11_$sk'])).
% 0.20/0.43  cnf('54', plain, (~eats(X,$sk6) | ~wolf(X)),
% 0.20/0.43    inference(resolution,[],['53','27'])).
% 0.20/0.43  cnf('55', plain, ($false),
% 0.20/0.43    inference(resolution,[then_simplify],['52','54','51'])).
% 0.20/0.43  
% 0.20/0.43  % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.20/0.43  
% 0.20/0.43  run 5 fork 4 statistics:
% 0.20/0.43  ----------------------------------
% 0.20/0.43  this run seconds: 0.009900
% 0.20/0.43  total seconds: 0.037537
% 0.20/0.43  stat_given_used: 94
% 0.20/0.43  stat_given_used_at_endgame: 0
% 0.20/0.43  stat_given_candidates:   100
% 0.20/0.43  stat_given_candidates_at_endgame: 0
% 0.20/0.43  stat_given_candidates_h: 0
% 0.20/0.43  stat_binres_derived_cl:   64
% 0.20/0.43  stat_binres_derived_cl_h: 0
% 0.20/0.43  stat_factor_derived_cl: 29
% 0.20/0.43  stat_para_derived_cl: 0
% 0.20/0.43  stat_tautologies_discarded: 6
% 0.20/0.43  stat_forward_subsumed: 0
% 0.20/0.43  stat_derived_cut: 28
% 0.20/0.43  stat_derived_rewritten: 0
% 0.20/0.43  stat_weight_discarded_building: 0
% 0.20/0.43  stat_weight_discarded_cl: 0
% 0.20/0.43  stat_internlimit_discarded_cl: 0
% 0.20/0.43  stat_simplified:  2 simplified 0 derived 0 given
% 0.20/0.43  stat_kept_cl: 86
% 0.20/0.43  stat_built_cl: 276
% 0.20/0.43  stat_hyperres_partial_cl: 0
% 0.20/0.43  stat_made_rewriters: 0
% 0.20/0.43  stat_backward_subsumed: 0
% 0.20/0.43  stat_propagated_subsumed: 0
% 0.20/0.43  stat_clsubs_attempted:                       201
% 0.20/0.43  stat_clsubs_fact_groundunit_found:             0
% 0.20/0.43  stat_clsubs_rule_groundunit_found:             0
% 0.20/0.43  stat_clsubs_top_meta_attempted:               3045
% 0.20/0.43  stat_clsubs_top_meta_failed:                  2844
% 0.20/0.43  stat_clsubs_top_meta_nonpref_attempted:                3045
% 0.20/0.43  stat_clsubs_top_meta_nonpref_succeeded:                1227
% 0.20/0.43  stat_clsubs_top_meta_pref_attempted:                   1227
% 0.20/0.43  stat_clsubs_top_meta_pref1_succeeded:                   235
% 0.20/0.43  stat_clsubs_top_meta_pref2_succeeded:                   208
% 0.20/0.43  stat_clsubs_top_meta_pref3_succeeded:                   201
% 0.20/0.43  stat_clsubs_top_meta_pref_succeeded:                    201
% 0.20/0.43  stat_clsubs_meta_attempted:                  766
% 0.20/0.43  stat_clsubs_meta_failed:                     437
% 0.20/0.43  stat_clsubs_predsymbs_attempted:               0
% 0.20/0.43  stat_clsubs_unit_attempted:                    0
% 0.20/0.43  stat_clsubs_full_attempted:                  201
% 0.20/0.43  stat_forwardsubs_attempted:                   87
% 0.20/0.43  stat_lit_hash_added:                    101
% 0.20/0.43  stat_lit_hash_computed:                1266
% 0.20/0.43  stat_lit_hash_match_found:               26
% 0.20/0.43  stat_lit_hash_match_miss:              1728
% 0.20/0.43  stat_lit_hash_cut_ok:                    28
% 0.20/0.43  stat_lit_strong_cut_ok:                   0
% 0.20/0.43  stat_lit_hash_subsume_ok:                 0
% 0.20/0.43  clqueue els 10000000 used 1
% 0.20/0.43  clactive els 10000000 used 95
% 0.20/0.43  clactivesubsume els 10000000 used 433
% 0.20/0.43  queue_termbuf els 200000000 used 4085
% 0.20/0.43  hyper_termbuf els 100000000 used 1
% 0.20/0.43  active_termbuf els 100000000 used 2768
% 0.20/0.43  varstack els 5000 last used 1
% 0.20/0.43  given_termbuf els 10000000 last used 1
% 0.20/0.43  simplified_termbuf els 10000000 last used 1
% 0.20/0.43  derived_termbuf els 10000000 last used 21
% 0.20/0.43  wr_mallocs: 502
% 0.20/0.43  wr_callocs: 21
% 0.20/0.43  wr_reallocs: 19
% 0.20/0.43  wr_frees: 2
% 0.20/0.43  wr_malloc_bytes: 4162595780
% 0.20/0.43  wr_calloc_bytes: 112065536
% 0.20/0.43  wr_realloc_bytes: 18408
% 0.20/0.43  wr_realloc_freebytes: 0
% 0.20/0.43  ----------------------------------
%------------------------------------------------------------------------------