%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : MGT032+2 : TPTP v9.3.0. Released v2.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n013.cluster.edu
% Model : x86_64 x86_64
% CPU : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory : 8046.5625MB
% OS : Linux 6.8.0-71-generic
% CPULimit : 300s
% WCLimit : 300s
% DateTime : Tue Sep 8 06:10:42 AM UTC 2026
% Result : Theorem 0.23s 0.51s
% Output : CNFRefutation 0.23s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.03 % Problem : MGT032+2 : TPTP v9.3.0. Released v2.0.0.
% 0.00/0.04 % Command : gkc %s
% 0.10/0.36 % Computer : n013.cluster.edu
% 0.10/0.36 % Model : x86_64 x86_64
% 0.10/0.36 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.10/0.36 % Memory : 8046.5625MB
% 0.10/0.36 % OS : Linux 6.8.0-71-generic
% 0.10/0.36 % CPULimit : 300
% 0.10/0.36 % WCLimit : 300
% 0.10/0.36 % DateTime : Mon Sep 7 12:21:50 UTC 2026
% 0.10/0.37 % CPUTime :
% 0.23/0.50
% 0.23/0.50 input clause set summed statistics:
% 0.23/0.50 ----------------------------------
% 0.23/0.50 in_clause_count: 8
% 0.23/0.50 in_rule_clause_count: 6
% 0.23/0.50 in_fact_clause_count: 2
% 0.23/0.50 in_answer_clause_count: 0
% 0.23/0.50 in_ground_clause_count: 2
% 0.23/0.50 in_unit_clause_count: 2
% 0.23/0.50 in_horn_clause_count: 8
% 0.23/0.50 in_pos_clause_count: 2
% 0.23/0.50 in_neg_clause_count: 1
% 0.23/0.50 in_poseq_clause_count: 0
% 0.23/0.50 in_negeq_clause_count: 0
% 0.23/0.50 in_unitposeq_clause_count: 0
% 0.23/0.50 in_chain_clause_count: 0
% 0.23/0.50 in_min_length: 1
% 0.23/0.50 in_max_length: 5
% 0.23/0.50 in_min_depth: 1
% 0.23/0.50 in_max_depth: 2
% 0.23/0.50 in_min_size: 2
% 0.23/0.50 in_max_size: 20
% 0.23/0.50 in_min_vars: 0
% 0.23/0.50 in_max_vars: 4
% 0.23/0.50 in_extaxiom_count: 0
% 0.23/0.50 in_axiom_count: 1
% 0.23/0.50 in_assumption_count: 2
% 0.23/0.50 in_goal_count: 5
% 0.23/0.50 in_neg_goal_count: 1
% 0.23/0.50 in_pos_goal_count: 2
% 0.23/0.50 in_posunit_goal_count: 2
% 0.23/0.50
% 0.23/0.50 auto guide:
% 0.23/0.50 -----------
% 0.23/0.50 {
% 0.23/0.50 "print":1,
% 0.23/0.50 "print_level": 15,
% 0.23/0.50 "max_size": 0,
% 0.23/0.50 "max_depth": 0,
% 0.23/0.50 "max_length": 0,
% 0.23/0.50 "max_dseconds": 0,
% 0.23/0.50 "equality":0,
% 0.23/0.50 "runs":[
% 0.23/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.23/0.50 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "weight_select_ratio":20},
% 0.23/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "var_weight":70, "repeat_var_weight":70},
% 0.23/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "weight_select_ratio":100, "query_preference":0},
% 0.23/0.50 {"max_dseconds":1, "strategy":["hardness_pref"], "weight_select_ratio":100, "query_preference":0},
% 0.23/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.23/0.50 {"max_dseconds":1, "strategy":["unit"], "weight_select_ratio":100, "query_preference":0},
% 0.23/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "weight_select_ratio":100, "query_preference":0, "var_weight":70, "repeat_var_weight":70},
% 0.23/0.50 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.23/0.50 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.23/0.50 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.23/0.50 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.23/0.50 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":1, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.23/0.50 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.23/0.50 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.23/0.50 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.23/0.50 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.23/0.50 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.23/0.50 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.23/0.50 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.23/0.50 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.23/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.23/0.50 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.23/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "max_depth":5, "query_preference":0},
% 0.23/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "max_weight":40, "query_preference":0},
% 0.23/0.50 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.23/0.50
% 0.23/0.50 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.23/0.50 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":10, "strategy":["negative_pref"], "weight_select_ratio":20},
% 0.23/0.50 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "var_weight":70, "repeat_var_weight":70},
% 0.23/0.50 {"max_dseconds":10, "strategy":["negative_pref"], "weight_select_ratio":100, "query_preference":0},
% 0.23/0.50 {"max_dseconds":10, "strategy":["hardness_pref"], "weight_select_ratio":100, "query_preference":0},
% 0.23/0.50 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.23/0.50 {"max_dseconds":10, "strategy":["unit"], "weight_select_ratio":100, "query_preference":0},
% 0.23/0.50 {"max_dseconds":10, "strategy":["negative_pref"], "weight_select_ratio":100, "query_preference":0, "var_weight":70, "repeat_var_weight":70},
% 0.23/0.50 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.23/0.50 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.23/0.50 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.23/0.50 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.23/0.50 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":10, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.23/0.50 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.23/0.50 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.23/0.50 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.23/0.50 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.23/0.50 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.23/0.50 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.23/0.50 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.23/0.50 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.23/0.50 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.23/0.50 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.23/0.50 {"max_dseconds":10, "strategy":["negative_pref"], "max_depth":5, "query_preference":0},
% 0.23/0.50 {"max_dseconds":10, "strategy":["negative_pref"], "max_weight":40, "query_preference":0},
% 0.23/0.50 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.23/0.50
% 0.23/0.50 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.23/0.50 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":50, "strategy":["negative_pref"], "weight_select_ratio":20},
% 0.23/0.50 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "var_weight":70, "repeat_var_weight":70},
% 0.23/0.50 {"max_dseconds":50, "strategy":["negative_pref"], "weight_select_ratio":100, "query_preference":0},
% 0.23/0.50 {"max_dseconds":50, "strategy":["hardness_pref"], "weight_select_ratio":100, "query_preference":0},
% 0.23/0.50 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.23/0.50 {"max_dseconds":50, "strategy":["unit"], "weight_select_ratio":100, "query_preference":0},
% 0.23/0.50 {"max_dseconds":50, "strategy":["negative_pref"], "weight_select_ratio":100, "query_preference":0, "var_weight":70, "repeat_var_weight":70},
% 0.23/0.50 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.23/0.50 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.23/0.50 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.23/0.50 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.23/0.50 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":50, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.23/0.50 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.23/0.50 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.23/0.50 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.23/0.50 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.23/0.50 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.23/0.50 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.23/0.50 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.23/0.50 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.23/0.50 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.23/0.50 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.23/0.50 {"max_dseconds":50, "strategy":["negative_pref"], "max_depth":5, "query_preference":0},
% 0.23/0.50 {"max_dseconds":50, "strategy":["negative_pref"], "max_weight":40, "query_preference":0},
% 0.23/0.50 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.23/0.50
% 0.23/0.50 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":250, "strategy":["hardness_pref"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.23/0.50 {"max_dseconds":250, "strategy":["unit"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":250, "strategy":["negative_pref"], "weight_select_ratio":20},
% 0.23/0.50 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0, "var_weight":70, "repeat_var_weight":70},
% 0.23/0.50 {"max_dseconds":250, "strategy":["unit"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":250, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.23/0.50
% 0.23/0.50 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.23/0.50 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0},
% 0.23/0.50 {"max_dseconds":1250, "strategy":["negative_pref"], "weight_select_ratio":20},
% 0.23/0.50 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0, "var_weight":70, "repeat_var_weight":70},
% 0.23/0.50 {"max_dseconds":1250, "strategy":["unit"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1},
% 0.23/0.50 {"max_dseconds":1250, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1}
% 0.23/0.50
% 0.23/0.50 ]}
% 0.23/0.50
% 0.23/0.50
% 0.23/0.50 **** run 1 fork 0 starts with strategy
% 0.23/0.50 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0}
% 0.23/0.51
% 0.23/0.51 **** run 2 fork 1 starts with strategy
% 0.23/0.51 {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":0}
% 0.23/0.51
% 0.23/0.51 **** run 3 fork 2 starts with strategy
% 0.23/0.51 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"weight_select_ratio":100,"depth_penalty":100,"length_penalty":100}
% 0.23/0.51
% 0.23/0.51 **** run 4 fork 3 starts with strategy
% 0.23/0.51 {"max_dseconds":1,"strategy":["unit"],"query_preference":0}
% 0.23/0.51
% 0.23/0.51 **** run 5 fork 4 starts with strategy
% 0.23/0.51 {"max_dseconds":1,"strategy":["negative_pref"],"weight_select_ratio":20}
% 0.23/0.51
% 0.23/0.51
% 0.23/0.51 result: proof found
% 0.23/0.51 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.23/0.51 by run 4 fork 3 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":0}
% 0.23/0.51 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.23/0.51
% 0.23/0.51 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.23/0.51 fof('mp1_high_growth_rates_$sk', plain, (selection_favors(X4,X3,X2) | (~greater(growth_rate(X4,X2),growth_rate(X3,X2)) | (~subpopulations(X3,X4,X1,X2) | ~environment(X1)))),
% 0.23/0.51 inference(negpush_and_skolemize,[],['mp1_high_growth_rates'])).
% 0.23/0.51 fof('mp1_high_growth_rates', axiom, (! [E,S1,S2,T] : (((environment(E) & subpopulations(S1,S2,E,T)) & greater(growth_rate(S2,T),growth_rate(S1,T))) => selection_favors(S2,S1,T))),
% 0.23/0.51 input).
% 0.23/0.51 fof('l1_$sk', plain, (((greater(growth_rate(efficient_producers,X2),growth_rate(first_movers,X2)) | (~greater_or_equal(X2,$sk3(X1)) | ~subpopulations(first_movers,efficient_producers,X1,X2))) & in_environment(X1,$sk3(X1))) | (~stable(X1) | ~environment(X1))),
% 0.23/0.51 inference(negpush_and_skolemize,[],['l1'])).
% 0.23/0.51 fof('l1', hypothesis, (! [E] : ((environment(E) & stable(E)) => (? [To] : (in_environment(E,To) & (! [T] : ((subpopulations(first_movers,efficient_producers,E,T) & greater_or_equal(T,To)) => greater(growth_rate(efficient_producers,T),growth_rate(first_movers,T)))))))),
% 0.23/0.51 input).
% 0.23/0.51 fof('prove_t1_$sk', plain, (((~selection_favors(efficient_producers,first_movers,$sk2(X1)) & (greater_or_equal($sk2(X1),X1) & subpopulations(first_movers,efficient_producers,$sk1,$sk2(X1)))) | ~in_environment($sk1,X1)) & (stable($sk1) & environment($sk1))),
% 0.23/0.51 inference(negpush_and_skolemize,[],['prove_t1'])).
% 0.23/0.51 fof('prove_t1', conjecture, (! [E] : ((environment(E) & stable(E)) => (? [To] : (in_environment(E,To) & (! [T] : ((subpopulations(first_movers,efficient_producers,E,T) & greater_or_equal(T,To)) => selection_favors(efficient_producers,first_movers,T))))))),
% 0.23/0.51 input).
% 0.23/0.51 cnf('1', plain, (~greater(growth_rate(X,Y),growth_rate(Z,Y)) | ~subpopulations(Z,X,U,Y) | selection_favors(X,Z,Y) | ~environment(U)),
% 0.23/0.51 inference(cnf_transformation,[],['mp1_high_growth_rates_$sk'])).
% 0.23/0.51 cnf('2', plain, (in_environment(X,$sk3(X)) | ~stable(X) | ~environment(X)),
% 0.23/0.51 inference(cnf_transformation,[],['l1_$sk'])).
% 0.23/0.51 cnf('3', plain, (stable($sk1)),
% 0.23/0.51 inference(cnf_transformation,[],['prove_t1_$sk'])).
% 0.23/0.51 cnf('4', plain, (environment($sk1)),
% 0.23/0.51 inference(cnf_transformation,[],['prove_t1_$sk'])).
% 0.23/0.51 cnf('5', plain, (in_environment($sk1,$sk3($sk1))),
% 0.23/0.51 inference(resolution,[then_simplify],['2','3','4'])).
% 0.23/0.51 cnf('6', plain, (subpopulations(first_movers,efficient_producers,$sk1,$sk2(X)) | ~in_environment($sk1,X)),
% 0.23/0.51 inference(cnf_transformation,[],['prove_t1_$sk'])).
% 0.23/0.51 cnf('7', plain, (subpopulations(first_movers,efficient_producers,$sk1,$sk2($sk3($sk1)))),
% 0.23/0.51 inference(resolution,[],['5','6'])).
% 0.23/0.51 cnf('8', plain, (greater_or_equal($sk2(X),X) | ~in_environment($sk1,X)),
% 0.23/0.51 inference(cnf_transformation,[],['prove_t1_$sk'])).
% 0.23/0.51 cnf('9', plain, (greater_or_equal($sk2($sk3($sk1)),$sk3($sk1))),
% 0.23/0.51 inference(resolution,[],['5','8'])).
% 0.23/0.51 cnf('10', plain, (greater(growth_rate(efficient_producers,X),growth_rate(first_movers,X)) | ~subpopulations(first_movers,efficient_producers,Y,X) | ~greater_or_equal(X,$sk3(Y)) | ~stable(Y) | ~environment(Y)),
% 0.23/0.51 inference(cnf_transformation,[],['l1_$sk'])).
% 0.23/0.51 cnf('11', plain, (subpopulations(first_movers,efficient_producers,$sk1,$sk2($sk3($sk1)))),
% 0.23/0.51 inference(resolution,[],['5','6'])).
% 0.23/0.51 cnf('12', plain, (stable($sk1)),
% 0.23/0.51 inference(cnf_transformation,[],['prove_t1_$sk'])).
% 0.23/0.51 cnf('13', plain, (greater(growth_rate(efficient_producers,$sk2($sk3($sk1))),growth_rate(first_movers,$sk2($sk3($sk1))))),
% 0.23/0.51 inference(resolution,[then_simplify],['9','10','11','12','4'])).
% 0.23/0.51 cnf('14', plain, (~selection_favors(efficient_producers,first_movers,$sk2(X)) | ~in_environment($sk1,X)),
% 0.23/0.51 inference(cnf_transformation,[],['prove_t1_$sk'])).
% 0.23/0.51 cnf('15', plain, (~selection_favors(efficient_producers,first_movers,$sk2($sk3($sk1)))),
% 0.23/0.51 inference(resolution,[],['5','14'])).
% 0.23/0.51 cnf('16', plain, ($false),
% 0.23/0.51 inference(resolution,[then_simplify],['1','7','13','15','4'])).
% 0.23/0.51
% 0.23/0.51 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.23/0.51
% 0.23/0.51 run 4 fork 3 statistics:
% 0.23/0.51 ----------------------------------
% 0.23/0.51 this run seconds: 0.001000
% 0.23/0.51 total seconds: 0.002353
% 0.23/0.51 stat_given_used: 13
% 0.23/0.51 stat_given_used_at_endgame: 0
% 0.23/0.51 stat_given_candidates: 15
% 0.23/0.51 stat_given_candidates_at_endgame: 0
% 0.23/0.51 stat_given_candidates_h: 0
% 0.23/0.51 stat_binres_derived_cl: 11
% 0.23/0.51 stat_binres_derived_cl_h: 0
% 0.23/0.51 stat_factor_derived_cl: 0
% 0.23/0.51 stat_para_derived_cl: 0
% 0.23/0.51 stat_tautologies_discarded: 0
% 0.23/0.51 stat_forward_subsumed: 2
% 0.23/0.51 stat_derived_cut: 6
% 0.23/0.51 stat_derived_rewritten: 0
% 0.23/0.51 stat_weight_discarded_building: 0
% 0.23/0.51 stat_weight_discarded_cl: 0
% 0.23/0.51 stat_internlimit_discarded_cl: 0
% 0.23/0.51 stat_simplified: 0 simplified 0 derived 0 given
% 0.23/0.51 stat_kept_cl: 8
% 0.23/0.51 stat_built_cl: 34
% 0.23/0.51 stat_hyperres_partial_cl: 0
% 0.23/0.51 stat_made_rewriters: 0
% 0.23/0.51 stat_backward_subsumed: 0
% 0.23/0.51 stat_propagated_subsumed: 0
% 0.23/0.51 stat_clsubs_attempted: 0
% 0.23/0.51 stat_clsubs_fact_groundunit_found: 2
% 0.23/0.51 stat_clsubs_rule_groundunit_found: 0
% 0.23/0.51 stat_clsubs_top_meta_attempted: 40
% 0.23/0.51 stat_clsubs_top_meta_failed: 40
% 0.23/0.51 stat_clsubs_top_meta_nonpref_attempted: 40
% 0.23/0.51 stat_clsubs_top_meta_nonpref_succeeded: 6
% 0.23/0.51 stat_clsubs_top_meta_pref_attempted: 6
% 0.23/0.51 stat_clsubs_top_meta_pref1_succeeded: 0
% 0.23/0.51 stat_clsubs_top_meta_pref2_succeeded: 0
% 0.23/0.51 stat_clsubs_top_meta_pref3_succeeded: 0
% 0.23/0.51 stat_clsubs_top_meta_pref_succeeded: 0
% 0.23/0.51 stat_clsubs_meta_attempted: 0
% 0.23/0.51 stat_clsubs_meta_failed: 0
% 0.23/0.51 stat_clsubs_predsymbs_attempted: 0
% 0.23/0.51 stat_clsubs_unit_attempted: 0
% 0.23/0.51 stat_clsubs_full_attempted: 0
% 0.23/0.51 stat_forwardsubs_attempted: 11
% 0.23/0.51 stat_lit_hash_added: 22
% 0.23/0.51 stat_lit_hash_computed: 105
% 0.23/0.51 stat_lit_hash_match_found: 14
% 0.23/0.51 stat_lit_hash_match_miss: 110
% 0.23/0.51 stat_lit_hash_cut_ok: 10
% 0.23/0.51 stat_lit_strong_cut_ok: 0
% 0.23/0.51 stat_lit_hash_subsume_ok: 2
% 0.23/0.51 clqueue els 10000000 used 1
% 0.23/0.51 clactive els 10000000 used 14
% 0.23/0.51 clactivesubsume els 10000000 used 37
% 0.23/0.51 queue_termbuf els 200000000 used 405
% 0.23/0.51 hyper_termbuf els 100000000 used 1
% 0.23/0.51 active_termbuf els 100000000 used 414
% 0.23/0.51 varstack els 5000 last used 1
% 0.23/0.51 given_termbuf els 10000000 last used 1
% 0.23/0.51 simplified_termbuf els 10000000 last used 1
% 0.23/0.51 derived_termbuf els 10000000 last used 92
% 0.23/0.51 wr_mallocs: 186
% 0.23/0.51 wr_callocs: 21
% 0.23/0.51 wr_reallocs: 3
% 0.23/0.51 wr_frees: 2
% 0.23/0.51 wr_malloc_bytes: 4162583732
% 0.23/0.51 wr_calloc_bytes: 112065536
% 0.23/0.51 wr_realloc_bytes: 8240
% 0.23/0.51 wr_realloc_freebytes: 0
% 0.23/0.51 ----------------------------------
% 0.23/0.52
% 0.23/0.52 **** run 6 fork 5 starts with strategy
% 0.23/0.52 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"var_weight":70,"repeat_var_weight":70}
% 0.23/0.52
% 0.23/0.52 **** run 7 fork 6 starts with strategy
% 0.23/0.52 {"max_dseconds":1,"strategy":["negative_pref"],"weight_select_ratio":100,"query_preference":0}
% 0.23/0.52
% 0.23/0.52
% 0.23/0.52 result: proof found
% 0.23/0.52 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.23/0.52 by run 5 fork 4 strategy {"max_dseconds":1,"strategy":["negative_pref"],"weight_select_ratio":20}
% 0.23/0.52 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.23/0.52
% 0.23/0.52 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.23/0.52 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)))),
% 0.23/0.52 inference(negpush_and_skolemize,[],['mp1_high_growth_rates'])).
% 0.23/0.52 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))),
% 0.23/0.52 input).
% 0.23/0.52 fof('l1_$sk', plain, (((greater(growth_rate(efficient_producers,X2),growth_rate(first_movers,X2)) | (~greater_or_equal(X2,$sk3(X1)) | ~subpopulations(first_movers,efficient_producers,X1,X2))) & in_environment(X1,$sk3(X1))) | (~stable(X1) | ~environment(X1))),
% 0.23/0.52 inference(negpush_and_skolemize,[],['l1'])).
% 0.23/0.52 fof('l1', hypothesis, (! [E] : ((environment(E) & stable(E)) => (? [To] : (in_environment(E,To) & (! [T] : ((subpopulations(first_movers,efficient_producers,E,T) & greater_or_equal(T,To)) => greater(growth_rate(efficient_producers,T),growth_rate(first_movers,T)))))))),
% 0.23/0.52 input).
% 0.23/0.52 fof('prove_t1_$sk', plain, (((~selection_favors(efficient_producers,first_movers,$sk2(X1)) & (greater_or_equal($sk2(X1),X1) & subpopulations(first_movers,efficient_producers,$sk1,$sk2(X1)))) | ~in_environment($sk1,X1)) & (stable($sk1) & environment($sk1))),
% 0.23/0.52 inference(negpush_and_skolemize,[],['prove_t1'])).
% 0.23/0.52 fof('prove_t1', conjecture, (! [E] : ((environment(E) & stable(E)) => (? [To] : (in_environment(E,To) & (! [T] : ((subpopulations(first_movers,efficient_producers,E,T) & greater_or_equal(T,To)) => selection_favors(efficient_producers,first_movers,T))))))),
% 0.23/0.52 input).
% 0.23/0.52 cnf('1', plain, (~greater(growth_rate(X,Y),growth_rate(Z,Y)) | ~subpopulations(Z,X,U,Y) | selection_favors(X,Z,Y) | ~environment(U)),
% 0.23/0.52 inference(cnf_transformation,[],['mp1_high_growth_rates_$sk'])).
% 0.23/0.52 cnf('2', plain, (in_environment(X,$sk3(X)) | ~stable(X) | ~environment(X)),
% 0.23/0.52 inference(cnf_transformation,[],['l1_$sk'])).
% 0.23/0.52 cnf('3', plain, (stable($sk1)),
% 0.23/0.52 inference(cnf_transformation,[],['prove_t1_$sk'])).
% 0.23/0.52 cnf('4', plain, (environment($sk1)),
% 0.23/0.52 inference(cnf_transformation,[],['prove_t1_$sk'])).
% 0.23/0.52 cnf('5', plain, (in_environment($sk1,$sk3($sk1))),
% 0.23/0.52 inference(resolution,[then_simplify],['2','3','4'])).
% 0.23/0.52 cnf('6', plain, (subpopulations(first_movers,efficient_producers,$sk1,$sk2(X)) | ~in_environment($sk1,X)),
% 0.23/0.52 inference(cnf_transformation,[],['prove_t1_$sk'])).
% 0.23/0.52 cnf('7', plain, (subpopulations(first_movers,efficient_producers,$sk1,$sk2($sk3($sk1)))),
% 0.23/0.52 inference(resolution,[],['5','6'])).
% 0.23/0.52 cnf('8', plain, (greater(growth_rate(efficient_producers,X),growth_rate(first_movers,X)) | ~subpopulations(first_movers,efficient_producers,Y,X) | ~greater_or_equal(X,$sk3(Y)) | ~stable(Y) | ~environment(Y)),
% 0.23/0.52 inference(cnf_transformation,[],['l1_$sk'])).
% 0.23/0.52 cnf('9', plain, (greater_or_equal($sk2(X),X) | ~in_environment($sk1,X)),
% 0.23/0.52 inference(cnf_transformation,[],['prove_t1_$sk'])).
% 0.23/0.52 cnf('10', plain, (greater_or_equal($sk2($sk3($sk1)),$sk3($sk1))),
% 0.23/0.52 inference(resolution,[],['5','9'])).
% 0.23/0.52 cnf('11', plain, (stable($sk1)),
% 0.23/0.52 inference(cnf_transformation,[],['prove_t1_$sk'])).
% 0.23/0.52 cnf('12', plain, (greater(growth_rate(efficient_producers,$sk2($sk3($sk1))),growth_rate(first_movers,$sk2($sk3($sk1))))),
% 0.23/0.52 inference(resolution,[then_simplify],['7','8','10','11','4'])).
% 0.23/0.52 cnf('13', plain, (selection_favors(efficient_producers,first_movers,$sk2($sk3($sk1))) | ~subpopulations(first_movers,efficient_producers,X,$sk2($sk3($sk1))) | ~environment(X)),
% 0.23/0.52 inference(resolution,[],['1','12'])).
% 0.23/0.52 cnf('14', plain, (selection_favors(efficient_producers,first_movers,$sk2($sk3($sk1)))),
% 0.23/0.52 inference(resolution,[then_simplify],['13','7','4'])).
% 0.23/0.52 cnf('15', plain, (~selection_favors(efficient_producers,first_movers,$sk2(X)) | ~in_environment($sk1,X)),
% 0.23/0.52 inference(cnf_transformation,[],['prove_t1_$sk'])).
% 0.23/0.52 cnf('16', plain, (in_environment($sk1,$sk3($sk1))),
% 0.23/0.52 inference(resolution,[then_simplify],['2','3','4'])).
% 0.23/0.52 cnf('17', plain, ($false),
% 0.23/0.52 inference(resolution,[then_simplify],['14','15','16'])).
% 0.23/0.52
% 0.23/0.52 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.23/0.52
% 0.23/0.52 run 5 fork 4 statistics:
% 0.23/0.52 ----------------------------------
% 0.23/0.52 this run seconds: 0.001205
% 0.23/0.52 total seconds: 0.004335
% 0.23/0.52 stat_given_used: 14
% 0.23/0.52 stat_given_used_at_endgame: 0
% 0.23/0.52 stat_given_candidates: 14
% 0.23/0.52 stat_given_candidates_at_endgame: 0
% 0.23/0.52 stat_given_candidates_h: 0
% 0.23/0.52 stat_binres_derived_cl: 7
% 0.23/0.52 stat_binres_derived_cl_h: 0
% 0.23/0.52 stat_factor_derived_cl: 0
% 0.23/0.52 stat_para_derived_cl: 0
% 0.23/0.52 stat_tautologies_discarded: 0
% 0.23/0.52 stat_forward_subsumed: 0
% 0.23/0.52 stat_derived_cut: 4
% 0.23/0.52 stat_derived_rewritten: 0
% 0.23/0.52 stat_weight_discarded_building: 0
% 0.23/0.52 stat_weight_discarded_cl: 0
% 0.23/0.52 stat_internlimit_discarded_cl: 0
% 0.23/0.52 stat_simplified: 0 simplified 0 derived 0 given
% 0.23/0.52 stat_kept_cl: 6
% 0.23/0.52 stat_built_cl: 34
% 0.23/0.52 stat_hyperres_partial_cl: 0
% 0.23/0.52 stat_made_rewriters: 0
% 0.23/0.52 stat_backward_subsumed: 0
% 0.23/0.52 stat_propagated_subsumed: 0
% 0.23/0.52 stat_clsubs_attempted: 0
% 0.23/0.52 stat_clsubs_fact_groundunit_found: 0
% 0.23/0.52 stat_clsubs_rule_groundunit_found: 0
% 0.23/0.52 stat_clsubs_top_meta_attempted: 48
% 0.23/0.52 stat_clsubs_top_meta_failed: 48
% 0.23/0.52 stat_clsubs_top_meta_nonpref_attempted: 48
% 0.23/0.52 stat_clsubs_top_meta_nonpref_succeeded: 10
% 0.23/0.52 stat_clsubs_top_meta_pref_attempted: 10
% 0.23/0.52 stat_clsubs_top_meta_pref1_succeeded: 0
% 0.23/0.52 stat_clsubs_top_meta_pref2_succeeded: 0
% 0.23/0.52 stat_clsubs_top_meta_pref3_succeeded: 0
% 0.23/0.52 stat_clsubs_top_meta_pref_succeeded: 0
% 0.23/0.52 stat_clsubs_meta_attempted: 0
% 0.23/0.52 stat_clsubs_meta_failed: 0
% 0.23/0.52 stat_clsubs_predsymbs_attempted: 0
% 0.23/0.52 stat_clsubs_unit_attempted: 0
% 0.23/0.52 stat_clsubs_full_attempted: 0
% 0.23/0.52 stat_forwardsubs_attempted: 7
% 0.23/0.52 stat_lit_hash_added: 20
% 0.23/0.52 stat_lit_hash_computed: 92
% 0.23/0.52 stat_lit_hash_match_found: 6
% 0.23/0.52 stat_lit_hash_match_miss: 101
% 0.23/0.52 stat_lit_hash_cut_ok: 6
% 0.23/0.52 stat_lit_strong_cut_ok: 0
% 0.23/0.52 stat_lit_hash_subsume_ok: 0
% 0.23/0.52 clqueue els 10000000 used 1
% 0.23/0.52 clactive els 10000000 used 15
% 0.23/0.52 clactivesubsume els 10000000 used 43
% 0.23/0.52 queue_termbuf els 200000000 used 295
% 0.23/0.52 hyper_termbuf els 100000000 used 1
% 0.23/0.52 active_termbuf els 100000000 used 471
% 0.23/0.52 varstack els 5000 last used 1
% 0.23/0.52 given_termbuf els 10000000 last used 1
% 0.23/0.52 simplified_termbuf els 10000000 last used 1
% 0.23/0.52 derived_termbuf els 10000000 last used 28
% 0.23/0.52 wr_mallocs: 164
% 0.23/0.52 wr_callocs: 21
% 0.23/0.52 wr_reallocs: 3
% 0.23/0.52 wr_frees: 2
% 0.23/0.52 wr_malloc_bytes: 4162582964
% 0.23/0.52 wr_calloc_bytes: 112065536
% 0.23/0.52 wr_realloc_bytes: 8240
% 0.23/0.52 wr_realloc_freebytes: 0
% 0.23/0.52 ----------------------------------
%------------------------------------------------------------------------------