TSTP Solution File: NLP001+1 by GKC---0.8

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : GKC---0.8
% Problem  : NLP001+1 : TPTP v8.1.2. Released v2.4.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : gkc %s

% Computer : n001.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 09:52:01 EDT 2023

% Result   : Theorem 0.20s 0.69s
% Output   : CNFRefutation 0.20s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12  % Problem  : NLP001+1 : TPTP v8.1.2. Released v2.4.0.
% 0.00/0.13  % Command  : gkc %s
% 0.13/0.34  % Computer : n001.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 : Thu Aug 24 11:59:26 EDT 2023
% 0.13/0.34  % 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:                    59
% 0.20/0.39  in_rule_clause_count:               59
% 0.20/0.39  in_fact_clause_count:                0
% 0.20/0.39  in_answer_clause_count:              0
% 0.20/0.39  in_ground_clause_count:              0
% 0.20/0.39  in_unit_clause_count:                0
% 0.20/0.39  in_horn_clause_count:               30
% 0.20/0.39  in_pos_clause_count:                 1
% 0.20/0.39  in_neg_clause_count:                 2
% 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:               0
% 0.20/0.39  in_min_length:             2
% 0.20/0.39  in_max_length:            16
% 0.20/0.39  in_min_depth:              1
% 0.20/0.39  in_max_depth:              1
% 0.20/0.39  in_min_size:               7
% 0.20/0.39  in_max_size:              39
% 0.20/0.39  in_min_vars:               4
% 0.20/0.39  in_max_vars:               8
% 0.20/0.39  in_extaxiom_count:                 0
% 0.20/0.39  in_axiom_count:                    0
% 0.20/0.39  in_assumption_count:               0
% 0.20/0.39  in_goal_count:                    59
% 0.20/0.39  in_neg_goal_count:                 2
% 0.20/0.39  in_pos_goal_count:                 1
% 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":["unit"], "query_preference":0},
% 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":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":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", "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":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.39  {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.39  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 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":["unit"], "query_preference":0},
% 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":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 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", "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":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.39  {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.39  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 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":["unit"], "query_preference":0},
% 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":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 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", "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":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.39  {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.39  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.39  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 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":["unit"], "query_preference":0},
% 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":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 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":["unit"], "query_preference":0},
% 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":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 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}
% 0.20/0.39  
% 0.20/0.39  **** run 6 fork 5 starts with strategy
% 0.20/0.39  {"max_dseconds":1,"strategy":["unit"],"weight_select_ratio":100,"query_preference":0}
% 0.20/0.39  
% 0.20/0.39  **** run 7 fork 6 starts with strategy
% 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  
% 0.20/0.39  **** run 8 fork 7 starts with strategy
% 0.20/0.39  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":100,"depth_penalty":100,"length_penalty":100}
% 0.20/0.42  
% 0.20/0.42  fork 5: search finished without proof.
% 0.20/0.42  
% 0.20/0.42  fork 7: search finished without proof.
% 0.20/0.44  
% 0.20/0.44  **** run 16 fork 7 starts with strategy
% 0.20/0.44  {"max_dseconds":1,"strategy":["negative_pref"],"weight_select_ratio":20}
% 0.20/0.45  
% 0.20/0.45  **** run 14 fork 5 starts with strategy
% 0.20/0.45  {"var_weight":70,"repeat_var_weight":70,"max_depth":3,"query_preference":0,"strategy":["negative_pref"],"max_dseconds":1}
% 0.20/0.50  
% 0.20/0.50  fork 6: search finished without proof.
% 0.20/0.50  
% 0.20/0.50  fork 3: search finished without proof.
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% 0.20/0.50  fork 1: search finished without proof.
% 0.20/0.50  
% 0.20/0.50  fork 0: search finished without proof.
% 0.20/0.50  
% 0.20/0.50  fork 2: search finished without proof.
% 0.20/0.51  
% 0.20/0.51  fork 4: search finished without proof.
% 0.20/0.52  
% 0.20/0.52  **** run 15 fork 6 starts with strategy
% 0.20/0.52  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"depth_penalty":100,"repeat_var_weight":1}
% 0.20/0.52  
% 0.20/0.52  **** run 12 fork 3 starts with strategy
% 0.20/0.52  {"strategy":["hardness_pref","max_weight"],"length_penalty":100,"depth_penalty":50,"max_depth":3,"var_weight":10,"repeat_var_weight":10,"max_dseconds":1}
% 0.20/0.52  
% 0.20/0.52  **** run 10 fork 1 starts with strategy
% 0.20/0.52  {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":0,"weight_select_ratio":20,"depth_penalty":50,"length_penalty":100}
% 0.20/0.53  
% 0.20/0.53  **** run 13 fork 4 starts with strategy
% 0.20/0.53  {"max_dseconds":1,"strategy":["positive_pref"],"query_preference":0}
% 0.20/0.53  
% 0.20/0.53  **** run 9 fork 0 starts with strategy
% 0.20/0.53  {"max_dseconds":1,"strategy":["unit"],"query_preference":0}
% 0.20/0.53  
% 0.20/0.53  **** run 11 fork 2 starts with strategy
% 0.20/0.53  {"length_penalty":100,"query_preference":0,"strategy":["negative_pref"],"max_dseconds":1}
% 0.20/0.54  
% 0.20/0.54  fork 6: search finished without proof.
% 0.20/0.54  
% 0.20/0.54  fork 0: search finished without proof.
% 0.20/0.55  
% 0.20/0.55  fork 5: search finished without proof.
% 0.20/0.55  
% 0.20/0.55  fork 7: search finished without proof.
% 0.20/0.55  
% 0.20/0.55  **** run 23 fork 6 starts with strategy
% 0.20/0.55  {"max_dseconds":1,"strategy":["query_focus"],"query_preference":3}
% 0.20/0.56  
% 0.20/0.56  **** run 17 fork 0 starts with strategy
% 0.20/0.56  {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":0}
% 0.20/0.56  
% 0.20/0.56  **** run 22 fork 5 starts with strategy
% 0.20/0.56  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.20/0.57  
% 0.20/0.57  **** run 24 fork 7 starts with strategy
% 0.20/0.57  {"max_dseconds":1,"strategy":["negative_pref"],"max_depth":5,"query_preference":0}
% 0.20/0.57  No candidate clauses found.
% 0.20/0.57  
% 0.20/0.57  
% 0.20/0.57  fork 6: search terminated without proof.
% 0.20/0.59  
% 0.20/0.59  **** run 31 fork 6 starts with strategy
% 0.20/0.59  {"max_dseconds":10,"strategy":["negative_pref"],"query_preference":0,"weight_select_ratio":100,"depth_penalty":100,"length_penalty":100}
% 0.20/0.61  
% 0.20/0.61  fork 5: search finished without proof.
% 0.20/0.61  
% 0.20/0.61  fork 3: search finished without proof.
% 0.20/0.62  
% 0.20/0.62  fork 2: search finished without proof.
% 0.20/0.62  
% 0.20/0.62  **** run 30 fork 5 starts with strategy
% 0.20/0.62  {"max_dseconds":10,"strategy":["hardness_pref"],"weight_select_ratio":100,"query_preference":0}
% 0.20/0.62  
% 0.20/0.62  fork 1: search finished without proof.
% 0.20/0.63  
% 0.20/0.63  **** run 20 fork 3 starts with strategy
% 0.20/0.63  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":1}
% 0.20/0.63  
% 0.20/0.63  fork 4: search finished without proof.
% 0.20/0.64  
% 0.20/0.64  **** run 19 fork 2 starts with strategy
% 0.20/0.64  {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":0}
% 0.20/0.65  
% 0.20/0.65  **** run 21 fork 4 starts with strategy
% 0.20/0.65  
% 0.20/0.65  **** run 18 fork 1 starts with strategy
% 0.20/0.65  {"max_dseconds":1,"strategy":["hardness_pref","max_ground_weight"],"query_preference":0}{"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.20/0.65  
% 0.20/0.69  
% 0.20/0.69  
% 0.20/0.69  result: proof found
% 0.20/0.69  for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.20/0.69  by run 21 fork 4 strategy {"max_dseconds":1,"strategy":["hardness_pref","max_ground_weight"],"query_preference":0}
% 0.20/0.69  % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.20/0.69  
% 0.20/0.69  % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.20/0.69  fof('co1_$sk', plain, (((~in(X4,X3) | (~down(X4,X1) | (~barrel(X4,X2) | (~old(X2) | (~dirty(X2) | (~white(X2) | (~car(X2) | (~chevy(X2) | (~lonely(X1) | (~way(X1) | (~street(X1) | (~event(X4) | (~city(X3) | ~hollywood(X3)))))))))))))) & (in($sk4,$sk3) & (down($sk4,$sk1) & (barrel($sk4,$sk2) & (lonely($sk1) & (way($sk1) & (street($sk1) & (old($sk2) & (dirty($sk2) & (white($sk2) & (car($sk2) & (chevy($sk2) & (event($sk4) & (city($sk3) & hollywood($sk3))))))))))))))) | ((~in(X8,X7) | (~down(X8,X5) | (~barrel(X8,X6) | (~lonely(X5) | (~way(X5) | (~street(X5) | (~old(X6) | (~dirty(X6) | (~white(X6) | (~car(X6) | (~chevy(X6) | (~event(X8) | (~city(X7) | ~hollywood(X7)))))))))))))) & (in($sk8,$sk7) & (down($sk8,$sk5) & (barrel($sk8,$sk6) & (old($sk6) & (dirty($sk6) & (white($sk6) & (car($sk6) & (chevy($sk6) & (lonely($sk5) & (way($sk5) & (street($sk5) & (event($sk8) & (city($sk7) & hollywood($sk7)))))))))))))))),
% 0.20/0.69    inference(negpush_and_skolemize,[],['co1'])).
% 0.20/0.69  fof('co1', conjecture, (((? [U,V,W,X] : (((((((((((((hollywood(U) & city(U)) & event(V)) & street(W)) & way(W)) & lonely(W)) & chevy(X)) & car(X)) & white(X)) & dirty(X)) & old(X)) & barrel(V,X)) & down(V,W)) & in(V,U))) => (? [Y,Z,X1,X2] : (((((((((((((hollywood(Y) & city(Y)) & event(Z)) & chevy(X1)) & car(X1)) & white(X1)) & dirty(X1)) & old(X1)) & street(X2)) & way(X2)) & lonely(X2)) & barrel(Z,X1)) & down(Z,X2)) & in(Z,Y)))) & ((? [X3,X4,X5,X6] : (((((((((((((hollywood(X3) & city(X3)) & event(X4)) & chevy(X5)) & car(X5)) & white(X5)) & dirty(X5)) & old(X5)) & street(X6)) & way(X6)) & lonely(X6)) & barrel(X4,X5)) & down(X4,X6)) & in(X4,X3))) => (? [X7,X8,X9,X10] : (((((((((((((hollywood(X7) & city(X7)) & event(X8)) & street(X9)) & way(X9)) & lonely(X9)) & chevy(X10)) & car(X10)) & white(X10)) & dirty(X10)) & old(X10)) & barrel(X8,X10)) & down(X8,X9)) & in(X8,X7))))),
% 0.20/0.69    input). 
% 0.20/0.69  cnf('1', plain, (~$df2(X,Y,Z,U) | ~barrel(U,X) | ~down(U,Y) | ~in(U,Z) | ~hollywood(Z) | ~city(Z) | ~event(U) | ~chevy(X) | ~car(X) | ~white(X) | ~dirty(X) | ~old(X) | ~street(Y) | ~way(Y) | ~lonely(Y)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('2', plain, ($df2(X,Y,Z,U) | $df1(V,W,X2006,X2007)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('3', plain, ($df1(X,Y,Z,U) | ~barrel(V,W) | ~down(V,X2006) | ~in(V,X2007) | ~hollywood(X2007) | ~city(X2007) | ~event(V) | ~chevy(W) | ~car(W) | ~white(W) | ~dirty(W) | ~old(W) | ~street(X2006) | ~way(X2006) | ~lonely(X2006)),
% 0.20/0.69    inference(resolution,[],['1','2'])).
% 0.20/0.69  cnf('4', plain, (~$df1(X,Y,Z,U) | ~barrel(U,X) | ~down(U,Y) | ~in(U,Z) | ~hollywood(Z) | ~city(Z) | ~event(U) | ~chevy(X) | ~car(X) | ~white(X) | ~dirty(X) | ~old(X) | ~street(Y) | ~way(Y) | ~lonely(Y)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('5', plain, (~barrel(X,Y) | ~barrel(Z,U) | ~down(X,V) | ~down(Z,W) | ~in(X,X2006) | ~in(Z,X2007) | ~hollywood(X2006) | ~hollywood(X2007) | ~city(X2006) | ~city(X2007) | ~event(X) | ~event(Z) | ~chevy(Y) | ~chevy(U) | ~car(Y) | ~car(U) | ~white(Y) | ~white(U) | ~dirty(Y) | ~dirty(U) | ~old(Y) | ~old(U) | ~street(V) | ~street(W) | ~way(V) | ~way(W) | ~lonely(V) | ~lonely(W)),
% 0.20/0.69    inference(resolution,[],['3','4'])).
% 0.20/0.69  cnf('6', plain, (~barrel(X,Y) | ~down(X,Z) | ~down(X,U) | ~in(X,V) | ~in(X,W) | ~hollywood(V) | ~hollywood(W) | ~city(V) | ~city(W) | ~event(X) | ~chevy(Y) | ~car(Y) | ~white(Y) | ~dirty(Y) | ~old(Y) | ~street(Z) | ~street(U) | ~way(Z) | ~way(U) | ~lonely(Z) | ~lonely(U)),
% 0.20/0.69    inference(factorization,[],['5'])).
% 0.20/0.69  cnf('7', plain, (~barrel(X,Y) | ~down(X,Z) | ~in(X,U) | ~in(X,V) | ~hollywood(U) | ~hollywood(V) | ~city(U) | ~city(V) | ~event(X) | ~chevy(Y) | ~car(Y) | ~white(Y) | ~dirty(Y) | ~old(Y) | ~street(Z) | ~way(Z) | ~lonely(Z)),
% 0.20/0.69    inference(factorization,[],['6'])).
% 0.20/0.69  cnf('8', plain, (~barrel(X,Y) | ~down(X,Z) | ~in(X,U) | ~hollywood(U) | ~city(U) | ~event(X) | ~chevy(Y) | ~car(Y) | ~white(Y) | ~dirty(Y) | ~old(Y) | ~street(Z) | ~way(Z) | ~lonely(Z)),
% 0.20/0.69    inference(factorization,[],['7'])).
% 0.20/0.69  cnf('9', plain, (barrel($sk8,$sk6) | ~$df2(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('10', plain, (~event($sk8) | ~old($sk6) | ~car($sk6) | ~chevy($sk6) | ~white($sk6) | ~dirty($sk6) | ~$df2(X,Y,Z,U) | ~down($sk8,V) | ~in($sk8,W) | ~hollywood(W) | ~city(W) | ~street(V) | ~way(V) | ~lonely(V)),
% 0.20/0.69    inference(resolution,[],['8','9'])).
% 0.20/0.69  cnf('11', plain, (event($sk8) | ~$df2(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('12', plain, (~old($sk6) | ~car($sk6) | ~chevy($sk6) | ~white($sk6) | ~dirty($sk6) | ~$df2(X,Y,Z,U) | ~$df2(V,W,X2006,X2007) | ~down($sk8,X2008) | ~in($sk8,X2009) | ~hollywood(X2009) | ~city(X2009) | ~street(X2008) | ~way(X2008) | ~lonely(X2008)),
% 0.20/0.69    inference(resolution,[],['10','11'])).
% 0.20/0.69  cnf('13', plain, (~old($sk6) | ~car($sk6) | ~chevy($sk6) | ~white($sk6) | ~dirty($sk6) | ~$df2(X,Y,Z,U) | ~down($sk8,V) | ~in($sk8,W) | ~hollywood(W) | ~city(W) | ~street(V) | ~way(V) | ~lonely(V)),
% 0.20/0.69    inference(factorization,[],['12'])).
% 0.20/0.69  cnf('14', plain, (old($sk6) | ~$df2(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('15', plain, (~car($sk6) | ~chevy($sk6) | ~white($sk6) | ~dirty($sk6) | ~$df2(X,Y,Z,U) | ~$df2(V,W,X2006,X2007) | ~down($sk8,X2008) | ~in($sk8,X2009) | ~hollywood(X2009) | ~city(X2009) | ~street(X2008) | ~way(X2008) | ~lonely(X2008)),
% 0.20/0.69    inference(resolution,[],['13','14'])).
% 0.20/0.69  cnf('16', plain, (~car($sk6) | ~chevy($sk6) | ~white($sk6) | ~dirty($sk6) | ~$df2(X,Y,Z,U) | ~down($sk8,V) | ~in($sk8,W) | ~hollywood(W) | ~city(W) | ~street(V) | ~way(V) | ~lonely(V)),
% 0.20/0.69    inference(factorization,[],['15'])).
% 0.20/0.69  cnf('17', plain, (car($sk6) | ~$df2(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('18', plain, (~chevy($sk6) | ~white($sk6) | ~dirty($sk6) | ~$df2(X,Y,Z,U) | ~$df2(V,W,X2006,X2007) | ~down($sk8,X2008) | ~in($sk8,X2009) | ~hollywood(X2009) | ~city(X2009) | ~street(X2008) | ~way(X2008) | ~lonely(X2008)),
% 0.20/0.69    inference(resolution,[],['16','17'])).
% 0.20/0.69  cnf('19', plain, (~chevy($sk6) | ~white($sk6) | ~dirty($sk6) | ~$df2(X,Y,Z,U) | ~down($sk8,V) | ~in($sk8,W) | ~hollywood(W) | ~city(W) | ~street(V) | ~way(V) | ~lonely(V)),
% 0.20/0.69    inference(factorization,[],['18'])).
% 0.20/0.69  cnf('20', plain, (chevy($sk6) | ~$df2(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('21', plain, (~white($sk6) | ~dirty($sk6) | ~$df2(X,Y,Z,U) | ~$df2(V,W,X2006,X2007) | ~down($sk8,X2008) | ~in($sk8,X2009) | ~hollywood(X2009) | ~city(X2009) | ~street(X2008) | ~way(X2008) | ~lonely(X2008)),
% 0.20/0.69    inference(resolution,[],['19','20'])).
% 0.20/0.69  cnf('22', plain, (~white($sk6) | ~dirty($sk6) | ~$df2(X,Y,Z,U) | ~down($sk8,V) | ~in($sk8,W) | ~hollywood(W) | ~city(W) | ~street(V) | ~way(V) | ~lonely(V)),
% 0.20/0.69    inference(factorization,[],['21'])).
% 0.20/0.69  cnf('23', plain, (white($sk6) | ~$df2(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('24', plain, (~dirty($sk6) | ~$df2(X,Y,Z,U) | ~$df2(V,W,X2006,X2007) | ~down($sk8,X2008) | ~in($sk8,X2009) | ~hollywood(X2009) | ~city(X2009) | ~street(X2008) | ~way(X2008) | ~lonely(X2008)),
% 0.20/0.69    inference(resolution,[],['22','23'])).
% 0.20/0.69  cnf('25', plain, (~dirty($sk6) | ~$df2(X,Y,Z,U) | ~down($sk8,V) | ~in($sk8,W) | ~hollywood(W) | ~city(W) | ~street(V) | ~way(V) | ~lonely(V)),
% 0.20/0.69    inference(factorization,[],['24'])).
% 0.20/0.69  cnf('26', plain, (dirty($sk6) | ~$df2(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('27', plain, (~$df2(X,Y,Z,U) | ~$df2(V,W,X2006,X2007) | ~down($sk8,X2008) | ~in($sk8,X2009) | ~hollywood(X2009) | ~city(X2009) | ~street(X2008) | ~way(X2008) | ~lonely(X2008)),
% 0.20/0.69    inference(resolution,[],['25','26'])).
% 0.20/0.69  cnf('28', plain, (~$df2(X,Y,Z,U) | ~down($sk8,V) | ~in($sk8,W) | ~hollywood(W) | ~city(W) | ~street(V) | ~way(V) | ~lonely(V)),
% 0.20/0.69    inference(factorization,[],['27'])).
% 0.20/0.69  cnf('29', plain, (down($sk8,$sk5) | ~$df2(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('30', plain, (~street($sk5) | ~lonely($sk5) | ~way($sk
% 0.20/0.69  fork 1: search finished without proof.
% 0.20/0.69  5) | ~$df2(X,Y,Z,U) | ~$df2(V,W,X2006,X2007) | ~in($sk8,X2008) | ~hollywood(X2008) | ~city(X2008)),
% 0.20/0.69    inference(resolution,[],['28','29'])).
% 0.20/0.69  cnf('31', plain, (~street($sk5) | ~lonely($sk5) | ~way($sk5) | ~$df2(X,Y,Z,U) | ~in($sk8,V) | ~hollywood(V) | ~city(V)),
% 0.20/0.69    inference(factorization,[],['30'])).
% 0.20/0.69  cnf('32', plain, (street($sk5) | ~$df2(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('33', plain, (~lonely($sk5) | ~way($sk5) | ~$df2(X,Y,Z,U) | ~$df2(V,W,X2006,X2007) | ~in($sk8,X2008) | ~hollywood(X2008) | ~city(X2008)),
% 0.20/0.69    inference(resolution,[],['31','32'])).
% 0.20/0.69  cnf('34', plain, (~lonely($sk5) | ~way($sk5) | ~$df2(X,Y,Z,U) | ~in($sk8,V) | ~hollywood(V) | ~city(V)),
% 0.20/0.69    inference(factorization,[],['33'])).
% 0.20/0.69  cnf('35', plain, (lonely($sk5) | ~$df2(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('36', plain, (~way($sk5) | ~$df2(X,Y,Z,U) | ~$df2(V,W,X2006,X2007) | ~in($sk8,X2008) | ~hollywood(X2008) | ~city(X2008)),
% 0.20/0.69    inference(resolution,[],['34','35'])).
% 0.20/0.69  cnf('37', plain, (~way($sk5) | ~$df2(X,Y,Z,U) | ~in($sk8,V) | ~hollywood(V) | ~city(V)),
% 0.20/0.69    inference(factorization,[],['36'])).
% 0.20/0.69  cnf('38', plain, (way($sk5) | ~$df2(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('39', plain, (~$df2(X,Y,Z,U) | ~$df2(V,W,X2006,X2007) | ~in($sk8,X2008) | ~hollywood(X2008) | ~city(X2008)),
% 0.20/0.69    inference(resolution,[],['37','38'])).
% 0.20/0.69  cnf('40', plain, (~$df2(X,Y,Z,U) | ~in($sk8,V) | ~hollywood(V) | ~city(V)),
% 0.20/0.69    inference(factorization,[],['39'])).
% 0.20/0.69  cnf('41', plain, (in($sk8,$sk7) | ~$df2(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('42', plain, (~hollywood($sk7) | ~city($sk7) | ~$df2(X,Y,Z,U) | ~$df2(V,W,X2006,X2007)),
% 0.20/0.69    inference(resolution,[],['40','41'])).
% 0.20/0.69  cnf('43', plain, (~hollywood($sk7) | ~city($sk7) | ~$df2(X,Y,Z,U)),
% 0.20/0.69    inference(factorization,[],['42'])).
% 0.20/0.69  cnf('44', plain, (hollywood($sk7) | ~$df2(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('45', plain, (~city($sk7) | ~$df2(X,Y,Z,U) | ~$df2(V,W,X2006,X2007)),
% 0.20/0.69    inference(resolution,[],['43','44'])).
% 0.20/0.69  cnf('46', plain, (~city($sk7) | ~$df2(X,Y,Z,U)),
% 0.20/0.69    inference(factorization,[],['45'])).
% 0.20/0.69  cnf('47', plain, (city($sk7) | ~$df2(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('48', plain, (~$df2(X,Y,Z,U) | ~$df2(V,W,X2006,X2007)),
% 0.20/0.69    inference(resolution,[],['46','47'])).
% 0.20/0.69  cnf('49', plain, (~$df2(X,Y,Z,U)),
% 0.20/0.69    inference(factorization,[],['48'])).
% 0.20/0.69  cnf('50', plain, (barrel($sk4,$sk2) | ~$df1(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('51', plain, (~event($sk4) | ~old($sk2) | ~car($sk2) | ~chevy($sk2) | ~white($sk2) | ~dirty($sk2) | ~$df1(X,Y,Z,U) | ~down($sk4,V) | ~in($sk4,W) | ~hollywood(W) | ~city(W) | ~street(V) | ~way(V) | ~lonely(V)),
% 0.20/0.69    inference(resolution,[],['8','50'])).
% 0.20/0.69  cnf('52', plain, (event($sk4) | ~$df1(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('53', plain, (~old($sk2) | ~car($sk2) | ~chevy($sk2) | ~white($sk2) | ~dirty($sk2) | ~$df1(X,Y,Z,U) | ~$df1(V,W,X2006,X2007) | ~down($sk4,X2008) | ~in($sk4,X2009) | ~hollywood(X2009) | ~city(X2009) | ~street(X2008) | ~way(X2008) | ~lonely(X2008)),
% 0.20/0.69    inference(resolution,[],['51','52'])).
% 0.20/0.69  cnf('54', plain, (~old($sk2) | ~car($sk2) | ~chevy($sk2) | ~white($sk2) | ~dirty($sk2) | ~$df1(X,Y,Z,U) | ~down($sk4,V) | ~in($sk4,W) | ~hollywood(W) | ~city(W) | ~street(V) | ~way(V) | ~lonely(V)),
% 0.20/0.69    inference(factorization,[],['53'])).
% 0.20/0.69  cnf('55', plain, (old($sk2) | ~$df1(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('56', plain, (~car($sk2) | ~chevy($sk2) | ~white($sk2) | ~dirty($sk2) | ~$df1(X,Y,Z,U) | ~$df1(V,W,X2006,X2007) | ~down($sk4,X2008) | ~in($sk4,X2009) | ~hollywood(X2009) | ~city(X2009) | ~street(X2008) | ~way(X2008) | ~lonely(X2008)),
% 0.20/0.69    inference(resolution,[],['54','55'])).
% 0.20/0.69  cnf('57', plain, (~car($sk2) | ~chevy($sk2) | ~white($sk2) | ~dirty($sk2) | ~$df1(X,Y,Z,U) | ~down($sk4,V) | ~in($sk4,W) | ~hollywood(W) | ~city(W) | ~street(V) | ~way(V) | ~lonely(V)),
% 0.20/0.69    inference(factorization,[],['56'])).
% 0.20/0.69  cnf('58', plain, (car($sk2) | ~$df1(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('59', plain, (~chevy($sk2) | ~white($sk2) | ~dirty($sk2) | ~$df1(X,Y,Z,U) | ~$df1(V,W,X2006,X2007) | ~down($sk4,X2008) | ~in($sk4,X2009) | ~hollywood(X2009) | ~city(X2009) | ~street(X2008) | ~way(X2008) | ~lonely(X2008)),
% 0.20/0.69    inference(resolution,[],['57','58'])).
% 0.20/0.69  cnf('60', plain, (~chevy($sk2) | ~white($sk2) | ~dirty($sk2) | ~$df1(X,Y,Z,U) | ~down($sk4,V) | ~in($sk4,W) | ~hollywood(W) | ~city(W) | ~street(V) | ~way(V) | ~lonely(V)),
% 0.20/0.69    inference(factorization,[],['59'])).
% 0.20/0.69  cnf('61', plain, (chevy($sk2) | ~$df1(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('62', plain, (~white($sk2) | ~dirty($sk2) | ~$df1(X,Y,Z,U) | ~$df1(V,W,X2006,X2007) | ~down($sk4,X2008) | ~in($sk4,X2009) | ~hollywood(X2009) | ~city(X2009) | ~street(X2008) | ~way(X2008) | ~lonely(X2008)),
% 0.20/0.69    inference(resolution,[],['60','61'])).
% 0.20/0.69  cnf('63', plain, (~white($sk2) | ~dirty($sk2) | ~$df1(X,Y,Z,U) | ~down($sk4,V) | ~in($sk4,W) | ~hollywood(W) | ~city(W) | ~street(V) | ~way(V) | ~lonely(V)),
% 0.20/0.69    inference(factorization,[],['62'])).
% 0.20/0.69  cnf('64', plain, (white($sk2) | ~$df1(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('65', plain, (~dirty($sk2) | ~$df1(X,Y,Z,U) | ~$df1(V,W,X2006,X2007) | ~down($sk4,X2008) | ~in($sk4,X2009) | ~hollywood(X2009) | ~city(X2009) | ~street(X2008) | ~way(X2008) | ~lonely(X2008)),
% 0.20/0.69    inference(resolution,[],['63','64'])).
% 0.20/0.69  cnf('66', plain, (~dirty($sk2) | ~$df1(X,Y,Z,U) | ~down($sk4,V) | ~in($sk4,W) | ~hollywood(W) | ~city(W) | ~street(V) | ~way(V) | ~lonely(V)),
% 0.20/0.69    inference(factorization,[],['65'])).
% 0.20/0.69  cnf('67', plain, (dirty($sk2) | ~$df1(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('68', plain, (~$df1(X,Y,Z,U) | ~$df1(V,W,X2006,X2007) | ~down($sk4,X2008) | ~in($sk4,X2009) | ~hollywood(X2009) | ~city(X2009) | ~street(X2008) | ~way(X2008) | ~lonely(X2008)),
% 0.20/0.69    inference(resolution,[],['66','67'])).
% 0.20/0.69  cnf('69', plain, (~$df1(X,Y,Z,U) | ~down($sk4,V) | ~in($sk4,W) | ~hollywood(W) | ~city(W) | ~street(V) | ~way(V) | ~lonely(V)),
% 0.20/0.69    inference(factorization,[],['68'])).
% 0.20/0.69  cnf('70', plain, (down($sk4,$sk1) | ~$df1(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('71', plain, (~street($sk1) | ~lonely($sk1) | ~way($sk1) | ~$df1(X,Y,Z,U) | ~$df1(V,W,X2006,X2007) | ~in($sk4,X2008) | ~hollywood(X2008) | ~city(X2008)),
% 0.20/0.69    inference(resolution,[],['69','70'])).
% 0.20/0.69  cnf('72', plain, (~street($sk1) | ~lonely($sk1) | ~way($sk1) | ~$df1(X,Y,Z,U) | ~in($sk4,V) | ~hollywood(V) | ~city(V)),
% 0.20/0.69    inference(factorization,[],['71'])).
% 0.20/0.69  cnf('73', plain, (street($sk1) | ~$df1(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('74', plain, (~lonely($sk1) | ~way($sk1) | ~$df1(X,Y,Z,U) | ~$df1(V,W,X2006,X2007) | ~in($sk4,X2008) | ~hollywood(X2008) | ~city(X2008)),
% 0.20/0.69    inference(resolution,[],['72','73'])).
% 0.20/0.69  cnf('75', plain, (~lonely($sk1) | ~way($sk1) | ~$df1(X,Y,Z,U) | ~in($sk4,V) | ~hollywood(V) | ~city(V)),
% 0.20/0.69    inference(factorization,[],['74'])).
% 0.20/0.69  cnf('76', plain, (lonely($sk1) | ~$df1(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('77', plain, (~way($sk1) | ~$df1(X,Y,Z,U) | ~$df1(V,W,X2006,X2007) | ~in($sk4,X2008) | ~hollywood(X2008) | ~city(X2008)),
% 0.20/0.69    inference(resolution,[],['75','76'])).
% 0.20/0.69  cnf('78', plain, (~way($sk1) | ~$df1(X,Y,Z,U) | ~in($sk4,V) | ~hollywood(V) | ~city(V)),
% 0.20/0.69    inference(factorization,[],['77'])).
% 0.20/0.69  cnf('79', plain, (way($sk1) | ~$df1(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('80', plain, (~$df1(X,Y,Z,U) | ~$df1(V,W,X2006,X2007) | ~in($sk4,X2008) | ~hollywood(X2008) | ~city(X2008)),
% 0.20/0.69    inference(resolution,[],['78','79'])).
% 0.20/0.69  cnf('81', plain, (~$df1(X,Y,Z,U) | ~in($sk4,V) | ~hollywood(V) | ~city(V)),
% 0.20/0.69    inference(factorization,[],['80'])).
% 0.20/0.69  cnf('82', plain, (in($sk4,$sk3) | ~$df1(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('83', plain, (~hollywood($sk3) | ~city($sk3) | ~$df1(X,Y,Z,U) | ~$df1(V,W,X2006,X2007)),
% 0.20/0.69    inference(resolution,[],['81','82'])).
% 0.20/0.69  cnf('84', plain, (~hollywood($sk3) | ~city($sk3) | ~$df1(X,Y,Z,U)),
% 0.20/0.69    inference(factorization,[],['83'])).
% 0.20/0.69  cnf('85', plain, (hollywood($sk3) | ~$df1(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('86', plain, (~city($sk3) | ~$df1(X,Y,Z,U) | ~$df1(V,W,X2006,X2007)),
% 0.20/0.69    inference(resolution,[],['84','85'])).
% 0.20/0.69  cnf('87', plain, (~city($sk3) | ~$df1(X,Y,Z,U)),
% 0.20/0.69    inference(factorization,[],['86'])).
% 0.20/0.69  cnf('88', plain, (city($sk3) | ~$df1(X,Y,Z,U)),
% 0.20/0.69    inference(cnf_transformation,[],['co1_$sk'])).
% 0.20/0.69  cnf('89', plain, (~$df1(X,Y,Z,U) | ~$df1(V,W,X2006,X2007)),
% 0.20/0.69    inference(resolution,[],['87','88'])).
% 0.20/0.69  cnf('90', plain, (~$df1(X3,Y3,Z3,U3)),
% 0.20/0.69    inference(factorization,[],['89'])).
% 0.20/0.69  cnf('91', plain, ($false),
% 0.20/0.69    inference(resolution,[then_simplify],['49','2','90'])).
% 0.20/0.69  
% 0.20/0.69  % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.20/0.69  
% 0.20/0.69  run 21 fork 4 statistics:
% 0.20/0.69  ----------------------------------
% 0.20/0.69  this run seconds: 0.009407
% 0.20/0.69  total seconds: 0.297440
% 0.20/0.69  stat_given_used: 118
% 0.20/0.69  stat_given_used_at_endgame: 0
% 0.20/0.69  stat_given_candidates:   181
% 0.20/0.69  stat_given_candidates_at_endgame: 0
% 0.20/0.69  stat_given_candidates_h: 0
% 0.20/0.69  stat_binres_derived_cl:   92
% 0.20/0.69  stat_binres_derived_cl_h: 0
% 0.20/0.69  stat_factor_derived_cl: 50
% 0.20/0.69  stat_para_derived_cl: 0
% 0.20/0.69  stat_tautologies_discarded: 0
% 0.20/0.69  stat_forward_subsumed: 2
% 0.20/0.69  stat_derived_cut: 1
% 0.20/0.69  stat_derived_rewritten: 0
% 0.20/0.69  stat_weight_discarded_building: 0
% 0.20/0.69  stat_weight_discarded_cl: 0
% 0.20/0.69  stat_internlimit_discarded_cl: 0
% 0.20/0.69  stat_simplified:  0 simplified 0 derived 0 given
% 0.20/0.69  stat_kept_cl: 139
% 0.20/0.69  stat_built_cl: 375
% 0.20/0.69  stat_hyperres_partial_cl: 0
% 0.20/0.69  stat_made_rewriters: 0
% 0.20/0.69  stat_backward_subsumed: 0
% 0.20/0.69  stat_propagated_subsumed: 0
% 0.20/0.69  stat_clsubs_attempted:                       223
% 0.20/0.69  stat_clsubs_fact_groundunit_found:             0
% 0.20/0.69  stat_clsubs_rule_groundunit_found:             0
% 0.20/0.69  stat_clsubs_top_meta_attempted:               8770
% 0.20/0.69  stat_clsubs_top_meta_failed:                  8547
% 0.20/0.69  stat_clsubs_top_meta_nonpref_attempted:                8770
% 0.20/0.69  stat_clsubs_top_meta_nonpref_succeeded:                3233
% 0.20/0.69  stat_clsubs_top_meta_pref_attempted:                   3233
% 0.20/0.69  stat_clsubs_top_meta_pref1_succeeded:                   488
% 0.20/0.69  stat_clsubs_top_meta_pref2_succeeded:                   223
% 0.20/0.69  stat_clsubs_top_meta_pref3_succeeded:                   223
% 0.20/0.69  stat_clsubs_top_meta_pref_succeeded:                    223
% 0.20/0.69  stat_clsubs_meta_attempted:                 2744
% 0.20/0.69  stat_clsubs_meta_failed:                    1760
% 0.20/0.69  stat_clsubs_predsymbs_attempted:               0
% 0.20/0.69  stat_clsubs_unit_attempted:                   20
% 0.20/0.69  stat_clsubs_full_attempted:                  203
% 0.20/0.69  stat_forwardsubs_attempted:                  142
% 0.20/0.69  stat_lit_hash_added:                     68
% 0.20/0.69  stat_lit_hash_computed:                6717
% 0.20/0.69  stat_lit_hash_match_found:               14
% 0.20/0.69  stat_lit_hash_match_miss:              8962
% 0.20/0.69  stat_lit_hash_cut_ok:                     1
% 0.20/0.69  stat_lit_strong_cut_ok:                   0
% 0.20/0.69  stat_lit_hash_subsume_ok:                 2
% 0.20/0.69  clqueue els 10000000 used 1
% 0.20/0.69  clactive els 10000000 used 119
% 0.20/0.69  clactivesubsume els 10000000 used 709
% 0.20/0.69  queue_termbuf els 200000000 used 17085
% 0.20/0.69  hyper_termbuf els 100000000 used 1
% 0.20/0.69  active_termbuf els 100000000 used 9479
% 0.20/0.69  varstack els 5000 last used 1
% 0.20/0.69  given_termbuf els 10000000 last used 1
% 0.20/0.69  simplified_termbuf els 10000000 last used 1
% 0.20/0.69  derived_termbuf els 10000000 last used 24
% 0.20/0.69  wr_mallocs: 462
% 0.20/0.69  wr_callocs: 21
% 0.20/0.69  wr_reallocs: 20
% 0.20/0.69  wr_frees: 2
% 0.20/0.69  wr_malloc_bytes: 4162593492
% 0.20/0.69  wr_calloc_bytes: 112065536
% 0.20/0.69  wr_realloc_bytes: 60800
% 0.20/0.69  wr_realloc_freebytes: 0
% 0.20/0.69  ----------------------------------
%------------------------------------------------------------------------------