TSTP Solution File: MGT026-1 by GKC---0.8

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : GKC---0.8
% Problem  : MGT026-1 : TPTP v8.1.2. Released v2.4.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : gkc %s

% Computer : n023.cluster.edu
% Model    : x86_64 x86_64
% CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory   : 8042.1875MB
% OS       : Linux 3.10.0-693.el7.x86_64
% CPULimit : 300s
% WCLimit  : 300s
% DateTime : Thu Aug 31 09:13:38 EDT 2023

% Result   : Unsatisfiable 0.20s 0.52s
% Output   : CNFRefutation 0.20s
% Verified : 
% SZS Type : ERROR: Analysing output (Could not find formula named mp2_favour_members_29)

% Comments : 
%------------------------------------------------------------------------------
cnf('1',plain,
    ( ~ greater(cardinality_at_time(X,Y),zero)
    | cardinality_at_time(Z,Y) != zero
    | ~ subpopulation(Z,U,Y)
    | ~ subpopulation(X,U,Y)
    | selection_favors(X,Z,Y)
    | ~ environment(U) ),
    inference(cnf_transformation,[],[mp2_favour_members_29]) ).

cnf('2',plain,
    ( ~ greater(cardinality_at_time(efficient_producers,X),zero)
    | ~ greater(cardinality_at_time(first_movers,X),zero)
    | subpopulations(first_movers,efficient_producers,Y,X)
    | ~ in_environment(Y,X)
    | ~ environment(Y) ),
    inference(cnf_transformation,[],[mp_non_empty_fm_and_ep_30]) ).

cnf('3',plain,
    ( ~ greater_or_equal(X,Y)
    | greater(X,Y)
    | X = Y ),
    inference(cnf_transformation,[],[mp_greater_or_equal_36]) ).

cnf('4',plain,
    ( greater_or_equal(critical_point(X),appear(efficient_producers,X))
    | ~ environment(X) ),
    inference(cnf_transformation,[],[mp_critical_point_after_EP_34]) ).

cnf('5',plain,
    environment(sk1),
    inference(cnf_transformation,[],[prove_l8_42]) ).

cnf('6',plain,
    greater_or_equal(critical_point(sk1),appear(efficient_producers,sk1)),
    inference(resolution,[],['4','5']) ).

cnf('7',plain,
    ( greater(critical_point(sk1),appear(efficient_producers,sk1))
    | critical_point(sk1) = appear(efficient_producers,sk1) ),
    inference(resolution,[],['3','6']) ).

cnf('8',plain,
    ( ~ greater(X,Y)
    | ~ greater(Z,X)
    | greater(Z,Y) ),
    inference(cnf_transformation,[],[mp_greater_transitivity_35]) ).

cnf('9',plain,
    ( critical_point(sk1) = appear(efficient_producers,sk1)
    | greater(X,appear(efficient_producers,sk1))
    | ~ greater(X,critical_point(sk1)) ),
    inference(resolution,[],['7','8']) ).

cnf('10',plain,
    greater(sk2,critical_point(sk1)),
    inference(cnf_transformation,[],[prove_l8_44]) ).

cnf('11',plain,
    ( critical_point(sk1) = appear(efficient_producers,sk1)
    | greater(sk2,appear(efficient_producers,sk1)) ),
    inference(resolution,[],['9','10']) ).

cnf('12',plain,
    ( greater(cardinality_at_time(efficient_producers,X),zero)
    | ~ greater_or_equal(X,appear(efficient_producers,Y))
    | ~ in_environment(Y,X)
    | ~ environment(Y) ),
    inference(cnf_transformation,[],[t6_41]) ).

cnf('13',plain,
    environment(sk1),
    inference(cnf_transformation,[],[prove_l8_42]) ).

cnf('14',plain,
    ( greater(sk2,appear(efficient_producers,sk1))
    | greater(cardinality_at_time(efficient_producers,X),zero)
    | ~ greater_or_equal(X,critical_point(sk1))
    | ~ in_environment(sk1,X) ),
    inference(paramodulation,[then_simplify],['11','12','13']) ).

cnf('15',plain,
    ( ~ greater(X,Y)
    | greater_or_equal(X,Y) ),
    inference(cnf_transformation,[],[mp_greater_or_equal_37]) ).

cnf('16',plain,
    greater_or_equal(sk2,critical_point(sk1)),
    inference(resolution,[],['15','10']) ).

cnf('17',plain,
    in_environment(sk1,sk2),
    inference(cnf_transformation,[],[prove_l8_43]) ).

cnf('18',plain,
    ( greater(sk2,appear(efficient_producers,sk1))
    | greater(cardinality_at_time(efficient_producers,sk2),zero) ),
    inference(resolution,[then_simplify],['14','16','17']) ).

cnf('19',plain,
    ( ~ greater(cardinality_at_time(first_movers,sk2),zero)
    | greater(sk2,appear(efficient_producers,sk1))
    | subpopulations(first_movers,efficient_producers,X,sk2)
    | ~ in_environment(X,sk2)
    | ~ environment(X) ),
    inference(resolution,[],['2','18']) ).

cnf('20',plain,
    ( greater_or_equal(cardinality_at_time(first_movers,X),zero)
    | ~ in_environment(Y,X)
    | ~ environment(Y) ),
    inference(cnf_transformation,[],[mp_first_movers_exist_31]) ).

cnf('21',plain,
    in_environment(sk1,sk2),
    inference(cnf_transformation,[],[prove_l8_43]) ).

cnf('22',plain,
    greater_or_equal(cardinality_at_time(first_movers,sk2),zero),
    inference(resolution,[then_simplify],['20','21','13']) ).

cnf('23',plain,
    ( greater(cardinality_at_time(first_movers,sk2),zero)
    | cardinality_at_time(first_movers,sk2) = zero ),
    inference(resolution,[],['22','3']) ).

cnf('24',plain,
    ( greater(sk2,appear(efficient_producers,sk1))
    | cardinality_at_time(first_movers,sk2) = zero
    | subpopulations(first_movers,efficient_producers,X,sk2)
    | ~ in_environment(X,sk2)
    | ~ environment(X) ),
    inference(resolution,[],['19','23']) ).

cnf('25',plain,
    ( greater(sk2,appear(efficient_producers,sk1))
    | cardinality_at_time(first_movers,sk2) = zero
    | subpopulations(first_movers,efficient_producers,sk1,sk2) ),
    inference(resolution,[then_simplify],['24','21','13']) ).

cnf('26',plain,
    ( greater(growth_rate(efficient_producers,X),growth_rate(first_movers,X))
    | ~ subpopulations(first_movers,efficient_producers,Y,X)
    | Z != critical_point(Y)
    | ~ greater(X,Z)
    | ~ environment(Y) ),
    inference(cnf_transformation,[],[d1_40]) ).

cnf('27',plain,
    ( greater(growth_rate(efficient_producers,X),growth_rate(first_movers,X))
    | ~ subpopulations(first_movers,efficient_producers,Y,X)
    | ~ greater(X,critical_point(Y))
    | ~ environment(Y) ),
    inference(reflexivity,[],['26']) ).

cnf('28',plain,
    greater(sk2,critical_point(sk1)),
    inference(cnf_transformation,[],[prove_l8_44]) ).

cnf('29',plain,
    ( greater(growth_rate(efficient_producers,sk2),growth_rate(first_movers,sk2))
    | greater(sk2,appear(efficient_producers,sk1))
    | cardinality_at_time(first_movers,sk2) = zero ),
    inference(resolution,[then_simplify],['25','27','28','13']) ).

cnf('30',plain,
    ( ~ greater(growth_rate(X,Y),growth_rate(Z,Y))
    | ~ subpopulations(Z,X,U,Y)
    | selection_favors(X,Z,Y)
    | ~ environment(U) ),
    inference(cnf_transformation,[],[mp1_high_growth_rates_28]) ).

cnf('31',plain,
    ~ selection_favors(efficient_producers,first_movers,sk2),
    inference(cnf_transformation,[],[prove_l8_45]) ).

cnf('32',plain,
    ( greater(sk2,appear(efficient_producers,sk1))
    | cardinality_at_time(first_movers,sk2) = zero
    | ~ subpopulations(first_movers,efficient_producers,X,sk2)
    | ~ environment(X) ),
    inference(resolution,[then_simplify],['29','30','31']) ).

cnf('33',plain,
    ( greater(sk2,appear(efficient_producers,sk1))
    | cardinality_at_time(first_movers,sk2) = zero ),
    inference(resolution,[then_simplify],['32','25','13']) ).

cnf('34',plain,
    ( cardinality_at_time(first_movers,sk2) = zero
    | greater_or_equal(sk2,appear(efficient_producers,sk1)) ),
    inference(resolution,[],['33','15']) ).

cnf('35',plain,
    ( cardinality_at_time(first_movers,sk2) = zero
    | greater(cardinality_at_time(efficient_producers,sk2),zero) ),
    inference(resolution,[then_simplify],['34','12','17','13']) ).

cnf('36',plain,
    ( ~ greater(cardinality_at_time(first_movers,sk2),zero)
    | cardinality_at_time(first_movers,sk2) = zero
    | subpopulations(first_movers,efficient_producers,X3,sk2)
    | ~ in_environment(X3,sk2)
    | ~ environment(X3) ),
    inference(resolution,[],['35','2']) ).

cnf('37',plain,
    ( greater(cardinality_at_time(first_movers,sk2),zero)
    | cardinality_at_time(first_movers,sk2) = zero ),
    inference(resolution,[],['22','3']) ).

cnf('38',plain,
    ( cardinality_at_time(first_movers,sk2) = zero
    | subpopulations(first_movers,efficient_producers,X,sk2)
    | ~ in_environment(X,sk2)
    | ~ environment(X) ),
    inference(simplify,[],['36','37']) ).

cnf('39',plain,
    ( cardinality_at_time(first_movers,sk2) = zero
    | subpopulations(first_movers,efficient_producers,sk1,sk2) ),
    inference(resolution,[then_simplify],['38','21','13']) ).

cnf('40',plain,
    ( greater(growth_rate(efficient_producers,sk2),growth_rate(first_movers,sk2))
    | cardinality_at_time(first_movers,sk2) = zero ),
    inference(resolution,[then_simplify],['39','27','28','13']) ).

cnf('41',plain,
    ( cardinality_at_time(first_movers,sk2) = zero
    | ~ subpopulations(first_movers,efficient_producers,X,sk2)
    | ~ environment(X) ),
    inference(resolution,[then_simplify],['40','30','31']) ).

cnf('42',plain,
    cardinality_at_time(first_movers,sk2) = zero,
    inference(resolution,[then_simplify],['41','39','13']) ).

cnf('43',plain,
    ( ~ greater(cardinality_at_time(X,sk2),zero)
    | ~ subpopulation(first_movers,Y,sk2)
    | ~ subpopulation(X,Y,sk2)
    | selection_favors(X,first_movers,sk2)
    | ~ environment(Y) ),
    inference(resolution,[],['1','42']) ).

cnf('44',plain,
    ( greater(sk2,appear(efficient_producers,sk1))
    | ~ subpopulation(efficient_producers,X,sk2)
    | ~ subpopulation(first_movers,X,sk2)
    | ~ environment(X) ),
    inference(resolution,[then_simplify],['43','18','31']) ).

cnf('45',plain,
    ( subpopulation(efficient_producers,X,Y)
    | ~ in_environment(X,Y)
    | ~ environment(X) ),
    inference(cnf_transformation,[],[mp_subpopulations_33]) ).

cnf('46',plain,
    subpopulation(efficient_producers,sk1,sk2),
    inference(resolution,[then_simplify],['45','21','13']) ).

cnf('47',plain,
    ( subpopulation(first_movers,X,Y)
    | ~ in_environment(X,Y)
    | ~ environment(X) ),
    inference(cnf_transformation,[],[mp_subpopulations_32]) ).

cnf('48',plain,
    subpopulation(first_movers,sk1,sk2),
    inference(resolution,[then_simplify],['47','21','13']) ).

cnf('49',plain,
    greater(sk2,appear(efficient_producers,sk1)),
    inference(resolution,[then_simplify],['44','46','48','13']) ).

cnf('50',plain,
    greater_or_equal(sk2,appear(efficient_producers,sk1)),
    inference(resolution,[],['49','15']) ).

cnf('51',plain,
    greater(cardinality_at_time(efficient_producers,sk2),zero),
    inference(resolution,[then_simplify],['50','12','17','13']) ).

cnf('52',plain,
    ( ~ subpopulation(efficient_producers,X,sk2)
    | ~ subpopulation(first_movers,X,sk2)
    | ~ environment(X) ),
    inference(resolution,[then_simplify],['51','43','31']) ).

cnf('53',plain,
    $false,
    inference(resolution,[then_simplify],['52','46','48','13']) ).


%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.03/0.13  % Problem  : MGT026-1 : TPTP v8.1.2. Released v2.4.0.
% 0.03/0.13  % Command  : gkc %s
% 0.13/0.35  % Computer : n023.cluster.edu
% 0.13/0.35  % Model    : x86_64 x86_64
% 0.13/0.35  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.35  % Memory   : 8042.1875MB
% 0.13/0.35  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.13/0.35  % CPULimit : 300
% 0.13/0.35  % WCLimit  : 300
% 0.13/0.35  % DateTime : Mon Aug 28 06:31:55 EDT 2023
% 0.13/0.35  % CPUTime  : 
% 0.20/0.40  
% 0.20/0.40  input clause set summed statistics:
% 0.20/0.40  ----------------------------------
% 0.20/0.40  in_clause_count:                    18
% 0.20/0.40  in_rule_clause_count:               16
% 0.20/0.40  in_fact_clause_count:                2
% 0.20/0.40  in_answer_clause_count:              0
% 0.20/0.40  in_ground_clause_count:              4
% 0.20/0.40  in_unit_clause_count:                4
% 0.20/0.40  in_horn_clause_count:               17
% 0.20/0.40  in_pos_clause_count:                 3
% 0.20/0.40  in_neg_clause_count:                 2
% 0.20/0.40  in_poseq_clause_count:               1
% 0.20/0.40  in_negeq_clause_count:               4
% 0.20/0.40  in_unitposeq_clause_count:           0
% 0.20/0.40  in_chain_clause_count:               0
% 0.20/0.40  in_min_length:             1
% 0.20/0.40  in_max_length:             6
% 0.20/0.40  in_min_depth:              1
% 0.20/0.40  in_max_depth:              2
% 0.20/0.40  in_min_size:               2
% 0.20/0.40  in_max_size:              24
% 0.20/0.40  in_min_vars:               0
% 0.20/0.40  in_max_vars:               4
% 0.20/0.40  in_extaxiom_count:                 0
% 0.20/0.40  in_axiom_count:                   11
% 0.20/0.40  in_assumption_count:               3
% 0.20/0.40  in_goal_count:                     4
% 0.20/0.40  in_neg_goal_count:                 1
% 0.20/0.40  in_pos_goal_count:                 3
% 0.20/0.40  in_posunit_goal_count:             3
% 0.20/0.40  
% 0.20/0.40  auto guide:
% 0.20/0.40  -----------
% 0.20/0.40  {
% 0.20/0.40  "print":1,
% 0.20/0.40  "print_level": 15,
% 0.20/0.40  "max_size": 0,
% 0.20/0.40  "max_depth": 0,
% 0.20/0.40  "max_length": 0,
% 0.20/0.40  "max_dseconds": 0,
% 0.20/0.40  "runs":[
% 0.20/0.40  {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":1, "sine":5, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":1, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":1, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":1, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":1, "strategy":["hardness_pref","prohibit_deep_para"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.40  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.40  {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.20/0.40  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.40  {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.20/0.40  {"max_dseconds":1, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.40  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.20/0.40  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.40  {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.40  {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para","prohibit_unordered_para"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.40  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.20/0.40  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.40  {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":0, "strategy":["query_focus", "posunitpara"], "max_dseconds":1},
% 0.20/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":2},
% 0.20/0.40  {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":1},
% 0.20/0.40  {"weight_select_ratio":100, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":1},
% 0.20/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "equality":0},
% 0.20/0.40  {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.20/0.40  {"var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["positive_pref"], "max_dseconds":1},
% 0.20/0.40  {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.40  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.20/0.40  {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1, "max_size":17},
% 0.20/0.40  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":1, "sine":5, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.40  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.40  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.40  {"max_dseconds":1, "strategy":["unit", "pure_unit"], "max_size":30, "max_depth":10, "max_weight":300, "weight_select_ratio":1, "rewrite":0},
% 0.20/0.40  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":2},
% 0.20/0.40  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.40  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "rewrite":0},
% 0.20/0.40  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "rewrite":0},
% 0.20/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.40  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":2},
% 0.20/0.40  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "length_penalty":100},
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% 0.20/0.40  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.20/0.40  {"max_dseconds":50, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1, "max_size":17},
% 0.20/0.40  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":50, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":50, "sine":5, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.40  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.40  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.40  {"max_dseconds":50, "strategy":["unit", "pure_unit"], "max_size":30, "max_depth":10, "max_weight":300, "weight_select_ratio":1, "rewrite":0},
% 0.20/0.40  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":2},
% 0.20/0.40  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.40  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "rewrite":0},
% 0.20/0.40  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "rewrite":0},
% 0.20/0.40  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.40  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":2},
% 0.20/0.40  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "length_penalty":100},
% 0.20/0.40  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "max_depth":3},
% 0.20/0.40  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":30, "depth_penalty":100},
% 0.20/0.40  {"max_dseconds":50, "strategy":["negative_pref", "posunitpara"], "query_preference":1, "max_depth":2, "depth_penalty":50, "length_penalty":100},
% 0.20/0.40  {"max_dseconds":50, "strategy":["unit", "pure_unit"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "max_depth":1},
% 0.20/0.40  {"depth_penalty":50, "query_preference":2, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.40  {"max_depth":0, "length_penalty":100, "query_preference":2, "strategy":["hardness_pref", "posunitpara"], "max_dseconds":50},
% 0.20/0.40  {"weight_select_ratio":100, "query_preference":1, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.40  {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "max_depth":2},
% 0.20/0.40  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.20/0.40  {"max_dseconds":50, "strategy":["unit","prohibit_unordered_para"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.20/0.40  {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":50},
% 0.20/0.40  {"max_dseconds":50, "strategy":["unit", "pure_unit"], "weight_select_ratio":1, "query_preference":0},
% 0.20/0.40  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.40  {"var_weight":70, "repeat_var_weight":70, "rewrite":0, "length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["hardness_pref", "max_weight"], "max_dseconds":50},
% 0.20/0.40  {"max_depth":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":50},
% 0.20/0.40  {"depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":50},
% 0.20/0.40  {"max_dseconds":50, "strategy":["hardness_pref", "posunitpara"], "query_preference":0, "depth_penalty":50, "length_penalty":100},
% 0.20/0.40  {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":50},
% 0.20/0.40  {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":50},
% 0.20/0.40  {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":50},
% 0.20/0.40  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "max_depth":2},
% 0.20/0.40  {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":50, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.40  {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight"], "max_dseconds":50},
% 0.20/0.40  {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight","prohibit_unordered_para"], "max_dseconds":50},
% 0.20/0.40  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.40  {"max_dseconds":50, "strategy":["query_focus", "posunitpara"], "query_preference":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.40  {"depth_penalty":50, "query_preference":1, "strategy":["hardness_pref", "hornpref", "max_weight"], "max_dseconds":50},
% 0.20/0.40  {"rewrite":0, "depth_penalty":50, "query_preference":1, "strategy":["query_focus", "hornpref"], "max_dseconds":50},
% 0.20/0.40  {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "length_penalty":100, "query_preference":1, "strategy":["query_focus", "prohibit_nested_para"], "max_dseconds":50},
% 0.20/0.40  {"query_preference":1, "strategy":["unit", "max_weight"], "max_dseconds":50},
% 0.20/0.40  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "weight_select_ratio":30, "depth_penalty":100, "length_penalty":100},
% 0.20/0.40  {"length_penalty":100, "query_preference":1, "strategy":["positive_pref", "posunitpara"], "max_dseconds":50},
% 0.20/0.40  {"weight_select_ratio":100, "rewrite":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":50},
% 0.20/0.40  
% 0.20/0.40  {"max_dseconds":250, "strategy":["unit"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":250, "strategy":["unit"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":250, "strategy":["hardness_pref"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.40  {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.40  {"max_dseconds":250, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.20/0.40  {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.40  {"max_dseconds":250, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.20/0.40  {"max_dseconds":250, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":250, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":250, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.40  {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.20/0.40  {"max_dseconds":250, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.40  {"max_dseconds":250, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.40  {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.20/0.40  {"max_dseconds":250, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.40  
% 0.20/0.40  {"max_dseconds":1250, "strategy":["unit"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.40  {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.40  {"max_dseconds":1250, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.20/0.40  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.40  {"max_dseconds":1250, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.20/0.40  {"max_dseconds":1250, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.20/0.40  {"max_dseconds":1250, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.40  {"max_dseconds":1250, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.40  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.20/0.40  {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.40  {"max_dseconds":1250, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.40  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "rewrite":0} 
% 0.20/0.40  
% 0.20/0.40  ]}
% 0.20/0.40  
% 0.20/0.40  
% 0.20/0.40  **** run 1 fork 0 starts with strategy
% 0.20/0.40  {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.20/0.40  
% 0.20/0.40  **** run 2 fork 1 starts with strategy
% 0.20/0.40  {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.20/0.40  
% 0.20/0.40  **** run 3 fork 2 starts with strategy
% 0.20/0.40  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1}
% 0.20/0.40  
% 0.20/0.40  **** run 4 fork 3 starts with strategy
% 0.20/0.40  {"max_dseconds":1,"sine":5,"strategy":["negative_pref"],"query_preference":1}
% 0.20/0.40  
% 0.20/0.40  **** run 5 fork 4 starts with strategy
% 0.20/0.40  {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para"],"query_preference":0}
% 0.20/0.40  
% 0.20/0.40  **** run 6 fork 5 starts with strategy
% 0.20/0.40  {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":0}
% 0.20/0.40  
% 0.20/0.40  **** run 7 fork 6 starts with strategy
% 0.20/0.40  {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":1}
% 0.20/0.40  
% 0.20/0.40  **** run 8 fork 7 starts with strategy
% 0.20/0.40  {"max_dseconds":1,"strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"],"query_preference":0}
% 0.20/0.45  
% 0.20/0.45  fork 0: search finished without proof.
% 0.20/0.45  
% 0.20/0.45  fork 5: search finished without proof.
% 0.20/0.45  
% 0.20/0.45  fork 6: search finished without proof.
% 0.20/0.45  
% 0.20/0.45  fork 3: search finished without proof.
% 0.20/0.45  
% 0.20/0.45  fork 7: search finished without proof.
% 0.20/0.48  
% 0.20/0.48  **** run 16 fork 7 starts with strategy
% 0.20/0.48  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"weight_select_ratio":100,"depth_penalty":100,"length_penalty":100}
% 0.20/0.48  
% 0.20/0.48  **** run 14 fork 5 starts with strategy
% 0.20/0.48  {"max_dseconds":1,"strategy":["hardness_pref","prohibit_deep_para"],"query_preference":1}
% 0.20/0.48  
% 0.20/0.48  **** run 12 fork 3 starts with strategy
% 0.20/0.48  {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":1}
% 0.20/0.48  
% 0.20/0.48  **** run 9 fork 0 starts with strategy
% 0.20/0.48  {"max_dseconds":1,"strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"],"query_preference":0}
% 0.20/0.49  
% 0.20/0.49  **** run 15 fork 6 starts with strategy
% 0.20/0.49  {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"],"query_preference":0}
% 0.20/0.52  
% 0.20/0.52  
% 0.20/0.52  result: proof found
% 0.20/0.52  for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% 0.20/0.52  by run 9 fork 0 strategy {"max_dseconds":1,"strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"],"query_preference":0}
% 0.20/0.52  % SZS status Unsatisfiable for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% 0.20/0.52  
% 0.20/0.52  % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p 
% See solution above
% 0.20/0.52  
% 0.20/0.52  run 9 fork 0 statistics:
% 0.20/0.52  ----------------------------------
% 0.20/0.52  this run seconds: 0.012390
% 0.20/0.52  total seconds: 0.114741
% 0.20/0.52  stat_given_used: 71
% 0.20/0.52  stat_given_used_at_endgame: 0
% 0.20/0.52  stat_given_candidates:   100
% 0.20/0.52  stat_given_candidates_at_endgame: 0
% 0.20/0.52  stat_given_candidates_h: 0
% 0.20/0.52  stat_binres_derived_cl:   70
% 0.20/0.52  stat_binres_derived_cl_h: 0
% 0.20/0.52  stat_factor_derived_cl: 6
% 0.20/0.52  stat_para_derived_cl: 19
% 0.20/0.52  stat_tautologies_discarded: 2
% 0.20/0.52  stat_forward_subsumed: 15
% 0.20/0.52  stat_derived_cut: 26
% 0.20/0.52  stat_derived_rewritten: 2
% 0.20/0.52  stat_weight_discarded_building: 0
% 0.20/0.52  stat_weight_discarded_cl: 0
% 0.20/0.52  stat_internlimit_discarded_cl: 0
% 0.20/0.52  stat_simplified:  3 simplified 0 derived 0 given
% 0.20/0.52  stat_kept_cl: 71
% 0.20/0.52  stat_built_cl: 216
% 0.20/0.52  stat_hyperres_partial_cl: 0
% 0.20/0.52  stat_made_rewriters: 1
% 0.20/0.52  stat_backward_subsumed: 0
% 0.20/0.52  stat_propagated_subsumed: 0
% 0.20/0.52  stat_clsubs_attempted:                        60
% 0.20/0.52  stat_clsubs_fact_groundunit_found:             2
% 0.20/0.52  stat_clsubs_rule_groundunit_found:             2
% 0.20/0.52  stat_clsubs_top_meta_attempted:               2307
% 0.20/0.52  stat_clsubs_top_meta_failed:                  2247
% 0.20/0.52  stat_clsubs_top_meta_nonpref_attempted:                2307
% 0.20/0.52  stat_clsubs_top_meta_nonpref_succeeded:                 530
% 0.20/0.52  stat_clsubs_top_meta_pref_attempted:                    530
% 0.20/0.52  stat_clsubs_top_meta_pref1_succeeded:                   103
% 0.20/0.52  stat_clsubs_top_meta_pref2_succeeded:                    63
% 0.20/0.52  stat_clsubs_top_meta_pref3_succeeded:                    60
% 0.20/0.52  stat_clsubs_top_meta_pref_succeeded:                     60
% 0.20/0.52  stat_clsubs_meta_attempted:                  145
% 0.20/0.52  stat_clsubs_meta_failed:                      40
% 0.20/0.52  stat_clsubs_predsymbs_attempted:               0
% 0.20/0.52  stat_clsubs_unit_attempted:                   16
% 0.20/0.52  stat_clsubs_full_attempted:                   44
% 0.20/0.52  stat_forwardsubs_attempted:                   87
% 0.20/0.52  stat_lit_hash_added:                     77
% 0.20/0.52  stat_lit_hash_computed:                1067
% 0.20/0.52  stat_lit_hash_match_found:               51
% 0.20/0.52  stat_lit_hash_match_miss:              1408
% 0.20/0.52  stat_lit_hash_cut_ok:                    33
% 0.20/0.52  stat_lit_strong_cut_ok:                   0
% 0.20/0.52  stat_lit_hash_subsume_ok:                15
% 0.20/0.52  clqueue els 10000000 used 1
% 0.20/0.52  clactive els 10000000 used 72
% 0.20/0.52  clactivesubsume els 10000000 used 337
% 0.20/0.52  queue_termbuf els 200000000 used 4127
% 0.20/0.52  hyper_termbuf els 100000000 used 1
% 0.20/0.52  active_termbuf els 100000000 used 2712
% 0.20/0.52  varstack els 5000 last used 1
% 0.20/0.52  given_termbuf els 10000000 last used 1
% 0.20/0.52  simplified_termbuf els 10000000 last used 1
% 0.20/0.52  derived_termbuf els 10000000 last used 32
% 0.20/0.52  wr_mallocs: 652
% 0.20/0.52  wr_callocs: 21
% 0.20/0.52  wr_reallocs: 14
% 0.20/0.52  wr_frees: 2
% 0.20/0.52  wr_malloc_bytes: 4162600292
% 0.20/0.52  wr_calloc_bytes: 112065536
% 0.20/0.52  wr_realloc_bytes: 9664
% 0.20/0.52  wr_realloc_freebytes: 0
% 0.20/0.52  ----------------------------------
%------------------------------------------------------------------------------