TSTP Solution File: MGT034-2 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : MGT034-2 : TPTP v8.1.2. Released v2.4.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n014.cluster.edu
% Model : x86_64 x86_64
% CPU : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory : 8042.1875MB
% OS : Linux 3.10.0-693.el7.x86_64
% CPULimit : 300s
% WCLimit : 300s
% DateTime : Thu Aug 31 09:13:43 EDT 2023
% Result : Unsatisfiable 0.20s 0.56s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : ERROR: Analysing output (Could not find formula named mp_decreasing_function_38)
% Comments :
%------------------------------------------------------------------------------
cnf('1',plain,
( ~ greater_or_equal(difference(growth_rate(first_movers,X),growth_rate(efficient_producers,X)),zero)
| greater(difference(growth_rate(first_movers,Y),growth_rate(efficient_producers,Y)),zero)
| ~ decreases(difference(growth_rate(first_movers,Y),growth_rate(efficient_producers,Y)))
| ~ greater_or_equal(Y,appear(efficient_producers,Z))
| ~ in_environment(Z,X)
| ~ greater(X,Y)
| ~ environment(Z) ),
inference(cnf_transformation,[],[mp_decreasing_function_38]) ).
cnf('2',plain,
( greater(zero,difference(growth_rate(first_movers,X),growth_rate(efficient_producers,X)))
| greater_or_equal(difference(growth_rate(first_movers,X),growth_rate(efficient_producers,X)),zero)
| ~ subpopulations(first_movers,efficient_producers,Y,X)
| ~ environment(Y) ),
inference(cnf_transformation,[],[mp_relationship_of_growth_rates_53]) ).
cnf('3',plain,
( subpopulations(first_movers,efficient_producers,X,critical_point(X))
| ~ in_environment(X,critical_point(X))
| ~ environment(X) ),
inference(cnf_transformation,[],[mp_critical_point_means_FM_and_EP_35]) ).
cnf('4',plain,
in_environment(sk1,critical_point(sk1)),
inference(cnf_transformation,[],[prove_t3_59]) ).
cnf('5',plain,
environment(sk1),
inference(cnf_transformation,[],[prove_t3_58]) ).
cnf('6',plain,
subpopulations(first_movers,efficient_producers,sk1,critical_point(sk1)),
inference(resolution,[then_simplify],['3','4','5']) ).
cnf('7',plain,
( greater_or_equal(difference(growth_rate(first_movers,critical_point(sk1)),growth_rate(efficient_producers,critical_point(sk1))),zero)
| greater(zero,difference(growth_rate(first_movers,critical_point(sk1)),growth_rate(efficient_producers,critical_point(sk1)))) ),
inference(resolution,[then_simplify],['2','6','5']) ).
cnf('8',plain,
( greater(zero,difference(growth_rate(first_movers,critical_point(sk1)),growth_rate(efficient_producers,critical_point(sk1))))
| greater(difference(growth_rate(first_movers,X),growth_rate(efficient_producers,X)),zero)
| ~ decreases(difference(growth_rate(first_movers,X),growth_rate(efficient_producers,X)))
| ~ greater_or_equal(X,appear(efficient_producers,Y))
| ~ greater(critical_point(sk1),X)
| ~ in_environment(Y,critical_point(sk1))
| ~ environment(Y) ),
inference(resolution,[],['1','7']) ).
cnf('9',plain,
( ~ decreases(difference(founding_rate(first_movers,X),founding_rate(efficient_producers,X)))
| decreases(difference(disbanding_rate(first_movers,X),disbanding_rate(efficient_producers,X)))
| decreases(difference(growth_rate(first_movers,X),growth_rate(efficient_producers,X))) ),
inference(cnf_transformation,[],[mp_difference_between_founding_rates_37]) ).
cnf('10',plain,
( ~ subpopulations(first_movers,efficient_producers,X,Y)
| ~ subpopulations(first_movers,efficient_producers,X,Z)
| subpopulations(first_movers,efficient_producers,X,U)
| ~ greater_or_equal(U,Z)
| ~ greater_or_equal(Y,U)
| ~ environment(X) ),
inference(cnf_transformation,[],[a10_56]) ).
cnf('11',plain,
( ~ subpopulations(first_movers,efficient_producers,sk1,X)
| subpopulations(first_movers,efficient_producers,sk1,Y)
| ~ greater_or_equal(critical_point(sk1),Y)
| ~ greater_or_equal(Y,X) ),
inference(resolution,[then_simplify],['6','10','5']) ).
cnf('12',plain,
( ~ greater_or_equal(X,appear(efficient_producers,Y))
| ~ greater(critical_point(Y),X)
| ~ in_environment(Y,critical_point(Y))
| in_environment(Y,X)
| ~ environment(Y) ),
inference(cnf_transformation,[],[mp_critical_time_points_46]) ).
cnf('13',plain,
( X != Y
| greater_or_equal(X,Y) ),
inference(cnf_transformation,[],[mp_greater_or_equal_52]) ).
cnf('14',plain,
greater_or_equal(X,X),
inference(reflexivity,[],['13']) ).
cnf('15',plain,
( ~ greater(critical_point(X),appear(efficient_producers,X))
| in_environment(X,appear(efficient_producers,X))
| ~ in_environment(X,critical_point(X))
| ~ environment(X) ),
inference(resolution,[],['12','14']) ).
cnf('16',plain,
( greater_or_equal(X,appear(efficient_producers,Y))
| ~ subpopulations(first_movers,efficient_producers,Y,X)
| ~ environment(Y) ),
inference(cnf_transformation,[],[mp_FM_and_EP_members_EP_appeared_49]) ).
cnf('17',plain,
greater_or_equal(critical_point(sk1),appear(efficient_producers,sk1)),
inference(resolution,[then_simplify],['6','16','5']) ).
cnf('18',plain,
( ~ greater_or_equal(X,Y)
| greater(X,Y)
| X = Y ),
inference(cnf_transformation,[],[mp_greater_or_equal_50]) ).
cnf('19',plain,
( greater(critical_point(sk1),appear(efficient_producers,sk1))
| critical_point(sk1) = appear(efficient_producers,sk1) ),
inference(resolution,[],['17','18']) ).
cnf('20',plain,
in_environment(sk1,critical_point(sk1)),
inference(cnf_transformation,[],[prove_t3_59]) ).
cnf('21',plain,
( critical_point(sk1) = appear(efficient_producers,sk1)
| in_environment(sk1,appear(efficient_producers,sk1)) ),
inference(resolution,[then_simplify],['15','19','20','5']) ).
cnf('22',plain,
greater_or_equal(sk2,appear(efficient_producers,sk1)),
inference(cnf_transformation,[],[prove_t3_60]) ).
cnf('23',plain,
greater(critical_point(sk1),sk2),
inference(cnf_transformation,[],[prove_t3_61]) ).
cnf('24',plain,
in_environment(sk1,sk2),
inference(resolution,[then_simplify],['12','22','23','20','5']) ).
cnf('25',plain,
( ~ greater_or_equal(X,Y)
| ~ greater_or_equal(Z,X)
| ~ in_environment(U,Z)
| ~ in_environment(U,Y)
| in_environment(U,X)
| ~ environment(U) ),
inference(cnf_transformation,[],[mp_durations_are_time_intervals_43]) ).
cnf('26',plain,
( ~ greater_or_equal(X,Y)
| ~ greater_or_equal(Y,X)
| ~ in_environment(Z,X)
| in_environment(Z,Y)
| ~ environment(Z) ),
inference(factorization,[],['25']) ).
cnf('27',plain,
environment(sk1),
inference(cnf_transformation,[],[prove_t3_58]) ).
cnf('28',plain,
( ~ in_environment(sk1,X)
| in_environment(sk1,Y)
| ~ greater_or_equal(Y,X)
| ~ greater_or_equal(X,Y) ),
inference(resolution,[],['26','27']) ).
cnf('29',plain,
( ~ greater_or_equal(sk2,X)
| in_environment(sk1,X)
| ~ greater_or_equal(X,sk2) ),
inference(resolution,[],['24','28']) ).
cnf('30',plain,
( ~ greater_or_equal(appear(efficient_producers,sk1),sk2)
| in_environment(sk1,appear(efficient_producers,sk1)) ),
inference(resolution,[],['29','22']) ).
cnf('31',plain,
( ~ greater(X,Y)
| greater_or_equal(X,Y) ),
inference(cnf_transformation,[],[mp_greater_or_equal_51]) ).
cnf('32',plain,
greater(critical_point(sk1),sk2),
inference(cnf_transformation,[],[prove_t3_61]) ).
cnf('33',plain,
greater_or_equal(critical_point(sk1),sk2),
inference(resolution,[],['31','32']) ).
cnf('34',plain,
in_environment(sk1,appear(efficient_producers,sk1)),
inference(paramodulation,[then_simplify],['21','30','33']) ).
cnf('35',plain,
( subpopulations(first_movers,efficient_producers,X,appear(efficient_producers,X))
| ~ in_environment(X,appear(efficient_producers,X))
| ~ environment(X) ),
inference(cnf_transformation,[],[mp_FM_and_EP_when_EP_appears_36]) ).
cnf('36',plain,
subpopulations(first_movers,efficient_producers,sk1,appear(efficient_producers,sk1)),
inference(resolution,[then_simplify],['34','35','5']) ).
cnf('37',plain,
( ~ greater_or_equal(X,appear(efficient_producers,sk1))
| subpopulations(first_movers,efficient_producers,sk1,X)
| ~ greater_or_equal(critical_point(sk1),X) ),
inference(resolution,[],['11','36']) ).
cnf('38',plain,
subpopulations(first_movers,efficient_producers,sk1,sk2),
inference(resolution,[then_simplify],['37','22','33']) ).
cnf('39',plain,
( decreases(difference(founding_rate(first_movers,X),founding_rate(efficient_producers,X)))
| ~ subpopulations(first_movers,efficient_producers,Y,X)
| ~ environment(Y) ),
inference(cnf_transformation,[],[a12_57]) ).
cnf('40',plain,
decreases(difference(founding_rate(first_movers,sk2),founding_rate(efficient_producers,sk2))),
inference(resolution,[then_simplify],['38','39','5']) ).
cnf('41',plain,
( decreases(difference(disbanding_rate(first_movers,sk2),disbanding_rate(efficient_producers,sk2)))
| decreases(difference(growth_rate(first_movers,sk2),growth_rate(efficient_producers,sk2))) ),
inference(resolution,[],['9','40']) ).
cnf('42',plain,
( ~ decreases(difference(disbanding_rate(first_movers,X),disbanding_rate(efficient_producers,X)))
| ~ subpopulations(first_movers,efficient_producers,Y,X)
| ~ environment(Y) ),
inference(cnf_transformation,[],[l3_34]) ).
cnf('43',plain,
( decreases(difference(growth_rate(first_movers,sk2),growth_rate(efficient_producers,sk2)))
| ~ subpopulations(first_movers,efficient_producers,X,sk2)
| ~ environment(X) ),
inference(resolution,[],['41','42']) ).
cnf('44',plain,
decreases(difference(growth_rate(first_movers,sk2),growth_rate(efficient_producers,sk2))),
inference(resolution,[then_simplify],['43','38','5']) ).
cnf('45',plain,
( greater(zero,difference(growth_rate(first_movers,critical_point(sk1)),growth_rate(efficient_producers,critical_point(sk1))))
| greater(difference(growth_rate(first_movers,sk2),growth_rate(efficient_producers,sk2)),zero)
| ~ greater_or_equal(sk2,appear(efficient_producers,X))
| ~ in_environment(X,critical_point(sk1))
| ~ environment(X) ),
inference(resolution,[then_simplify],['8','44','23']) ).
cnf('46',plain,
( greater(zero,difference(growth_rate(first_movers,critical_point(sk1)),growth_rate(efficient_producers,critical_point(sk1))))
| greater(difference(growth_rate(first_movers,sk2),growth_rate(efficient_producers,sk2)),zero) ),
inference(resolution,[then_simplify],['45','22','20','5']) ).
cnf('47',plain,
( ~ greater(zero,difference(growth_rate(first_movers,X),growth_rate(efficient_producers,X)))
| greater(growth_rate(efficient_producers,X),growth_rate(first_movers,X)) ),
inference(cnf_transformation,[],[mp_negative_growth_rate_difference_39]) ).
cnf('48',plain,
( greater(growth_rate(efficient_producers,critical_point(sk1)),growth_rate(first_movers,critical_point(sk1)))
| greater(difference(growth_rate(first_movers,sk2),growth_rate(efficient_producers,sk2)),zero) ),
inference(resolution,[],['46','47']) ).
cnf('49',plain,
( ~ greater(difference(growth_rate(first_movers,X),growth_rate(efficient_producers,X)),zero)
| greater(growth_rate(first_movers,X),growth_rate(efficient_producers,X)) ),
inference(cnf_transformation,[],[mp_positive_growth_rate_difference_41]) ).
cnf('50',plain,
( greater(growth_rate(efficient_producers,critical_point(sk1)),growth_rate(first_movers,critical_point(sk1)))
| greater(growth_rate(first_movers,sk2),growth_rate(efficient_producers,sk2)) ),
inference(resolution,[],['48','49']) ).
cnf('51',plain,
( ~ greater(growth_rate(efficient_producers,X),growth_rate(first_movers,X))
| X != critical_point(Y)
| ~ environment(Y) ),
inference(cnf_transformation,[],[d1_54]) ).
cnf('52',plain,
( ~ greater(growth_rate(efficient_producers,critical_point(X)),growth_rate(first_movers,critical_point(X)))
| ~ environment(X) ),
inference(reflexivity,[],['51']) ).
cnf('53',plain,
greater(growth_rate(first_movers,sk2),growth_rate(efficient_producers,sk2)),
inference(resolution,[then_simplify],['50','52','5']) ).
cnf('54',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_33]) ).
cnf('55',plain,
~ selection_favors(first_movers,efficient_producers,sk2),
inference(cnf_transformation,[],[prove_t3_62]) ).
cnf('56',plain,
( ~ subpopulations(efficient_producers,first_movers,X,sk2)
| ~ environment(X) ),
inference(resolution,[then_simplify],['53','54','55']) ).
cnf('57',plain,
( ~ subpopulations(first_movers,efficient_producers,X,Y)
| subpopulations(efficient_producers,first_movers,X,Y)
| ~ environment(X) ),
inference(cnf_transformation,[],[mp_symmetry_of_subpopulations_48]) ).
cnf('58',plain,
subpopulations(efficient_producers,first_movers,sk1,sk2),
inference(resolution,[then_simplify],['38','57','5']) ).
cnf('59',plain,
$false,
inference(resolution,[then_simplify],['56','58','5']) ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12 % Problem : MGT034-2 : TPTP v8.1.2. Released v2.4.0.
% 0.00/0.13 % Command : gkc %s
% 0.13/0.34 % Computer : n014.cluster.edu
% 0.13/0.34 % Model : x86_64 x86_64
% 0.13/0.34 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.34 % Memory : 8042.1875MB
% 0.13/0.34 % OS : Linux 3.10.0-693.el7.x86_64
% 0.13/0.34 % CPULimit : 300
% 0.13/0.34 % WCLimit : 300
% 0.13/0.34 % DateTime : Mon Aug 28 06:11:01 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: 30
% 0.20/0.39 in_rule_clause_count: 29
% 0.20/0.39 in_fact_clause_count: 1
% 0.20/0.39 in_answer_clause_count: 0
% 0.20/0.39 in_ground_clause_count: 5
% 0.20/0.39 in_unit_clause_count: 5
% 0.20/0.39 in_horn_clause_count: 27
% 0.20/0.39 in_pos_clause_count: 4
% 0.20/0.39 in_neg_clause_count: 3
% 0.20/0.39 in_poseq_clause_count: 1
% 0.20/0.39 in_negeq_clause_count: 3
% 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: 1
% 0.20/0.39 in_max_length: 7
% 0.20/0.39 in_min_depth: 1
% 0.20/0.39 in_max_depth: 3
% 0.20/0.39 in_min_size: 2
% 0.20/0.39 in_max_size: 39
% 0.20/0.39 in_min_vars: 0
% 0.20/0.39 in_max_vars: 4
% 0.20/0.39 in_extaxiom_count: 0
% 0.20/0.39 in_axiom_count: 21
% 0.20/0.39 in_assumption_count: 4
% 0.20/0.39 in_goal_count: 5
% 0.20/0.39 in_neg_goal_count: 1
% 0.20/0.39 in_pos_goal_count: 4
% 0.20/0.39 in_posunit_goal_count: 4
% 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 "runs":[
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "sine":5, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_deep_para"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"], "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":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 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":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 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 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para","prohibit_unordered_para"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.39 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":0, "strategy":["query_focus", "posunitpara"], "max_dseconds":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":2},
% 0.20/0.39 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":1},
% 0.20/0.39 {"weight_select_ratio":100, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "equality":0},
% 0.20/0.39 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.20/0.39 {"var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["positive_pref"], "max_dseconds":1},
% 0.20/0.39 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1, "max_size":17},
% 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":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "sine":5, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.39 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.39 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "max_size":30, "max_depth":10, "max_weight":300, "weight_select_ratio":1, "rewrite":0},
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% 0.20/0.39 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.20/0.39 {"max_dseconds":50, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1, "max_size":17},
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% 0.20/0.39 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":50, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":50, "sine":5, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.39 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.39 {"max_dseconds":50, "strategy":["unit", "pure_unit"], "max_size":30, "max_depth":10, "max_weight":300, "weight_select_ratio":1, "rewrite":0},
% 0.20/0.39 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":2},
% 0.20/0.39 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "rewrite":0},
% 0.20/0.39 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "rewrite":0},
% 0.20/0.39 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":2},
% 0.20/0.39 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "max_depth":3},
% 0.20/0.39 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":30, "depth_penalty":100},
% 0.20/0.39 {"max_dseconds":50, "strategy":["negative_pref", "posunitpara"], "query_preference":1, "max_depth":2, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":50, "strategy":["unit", "pure_unit"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "max_depth":1},
% 0.20/0.39 {"depth_penalty":50, "query_preference":2, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.39 {"max_depth":0, "length_penalty":100, "query_preference":2, "strategy":["hardness_pref", "posunitpara"], "max_dseconds":50},
% 0.20/0.39 {"weight_select_ratio":100, "query_preference":1, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.39 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "max_depth":2},
% 0.20/0.39 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.20/0.39 {"max_dseconds":50, "strategy":["unit","prohibit_unordered_para"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.20/0.39 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":50},
% 0.20/0.39 {"max_dseconds":50, "strategy":["unit", "pure_unit"], "weight_select_ratio":1, "query_preference":0},
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% 0.20/0.39 {"max_depth":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":50},
% 0.20/0.39 {"depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":50},
% 0.20/0.39 {"max_dseconds":50, "strategy":["hardness_pref", "posunitpara"], "query_preference":0, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":50},
% 0.20/0.39 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":50},
% 0.20/0.39 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":50},
% 0.20/0.39 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "max_depth":2},
% 0.20/0.39 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":50, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.39 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight"], "max_dseconds":50},
% 0.20/0.39 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight","prohibit_unordered_para"], "max_dseconds":50},
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% 0.20/0.39 {"max_dseconds":50, "strategy":["query_focus", "posunitpara"], "query_preference":1, "depth_penalty":50, "length_penalty":100},
% 0.20/0.39 {"depth_penalty":50, "query_preference":1, "strategy":["hardness_pref", "hornpref", "max_weight"], "max_dseconds":50},
% 0.20/0.39 {"rewrite":0, "depth_penalty":50, "query_preference":1, "strategy":["query_focus", "hornpref"], "max_dseconds":50},
% 0.20/0.39 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "length_penalty":100, "query_preference":1, "strategy":["query_focus", "prohibit_nested_para"], "max_dseconds":50},
% 0.20/0.39 {"query_preference":1, "strategy":["unit", "max_weight"], "max_dseconds":50},
% 0.20/0.39 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "weight_select_ratio":30, "depth_penalty":100, "length_penalty":100},
% 0.20/0.39 {"length_penalty":100, "query_preference":1, "strategy":["positive_pref", "posunitpara"], "max_dseconds":50},
% 0.20/0.39 {"weight_select_ratio":100, "rewrite":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":50},
% 0.20/0.39
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% 0.20/0.39 {"max_dseconds":250, "strategy":["hardness_pref"], "query_preference":1},
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% 0.20/0.39 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 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":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":250, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":250, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":250, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.39 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 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 {"max_dseconds":250, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.39 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.20/0.39 {"max_dseconds":250, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.39
% 0.20/0.39 {"max_dseconds":1250, "strategy":["unit"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 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":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 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 {"max_dseconds":1250, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.39 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "rewrite":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":["unit"],"query_preference":1}
% 0.20/0.39
% 0.20/0.39 **** run 2 fork 1 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 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"],"query_preference":1}
% 0.20/0.39
% 0.20/0.39 **** run 4 fork 3 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"sine":5,"strategy":["negative_pref"],"query_preference":1}
% 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","prohibit_unordered_para"],"query_preference":0}
% 0.20/0.39
% 0.20/0.39 **** run 6 fork 5 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":0}
% 0.20/0.39
% 0.20/0.39 **** run 8 fork 7 starts with strategy
% 0.20/0.39 {"max_dseconds":1,"strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"],"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":["unit","prohibit_unordered_para"],"query_preference":1}
% 0.20/0.43
% 0.20/0.43 fork 3: search finished without proof.
% 0.20/0.44
% 0.20/0.44 fork 0: search finished without proof.
% 0.20/0.44
% 0.20/0.44 fork 5: search finished without proof.
% 0.20/0.44
% 0.20/0.44 fork 7: search finished without proof.
% 0.20/0.45
% 0.20/0.45 fork 6: search finished without proof.
% 0.20/0.47
% 0.20/0.47 **** run 12 fork 3 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":1}
% 0.20/0.47
% 0.20/0.47 **** run 16 fork 7 starts with strategy
% 0.20/0.47 {"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 15 fork 6 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"],"query_preference":0}
% 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 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}
% 0.20/0.56
% 0.20/0.56
% 0.20/0.56 result: proof found
% 0.20/0.56 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.56 by run 5 fork 4 strategy {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para"],"query_preference":0}
% 0.20/0.56 % SZS status Unsatisfiable for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.20/0.56
% 0.20/0.56 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% See solution above
% 0.20/0.56
% 0.20/0.56 run 5 fork 4 statistics:
% 0.20/0.56 ----------------------------------
% 0.20/0.56 this run seconds: 0.015771
% 0.20/0.56 total seconds: 0.041270
% 0.20/0.56 stat_given_used: 169
% 0.20/0.56 stat_given_used_at_endgame: 0
% 0.20/0.56 stat_given_candidates: 278
% 0.20/0.56 stat_given_candidates_at_endgame: 0
% 0.20/0.56 stat_given_candidates_h: 0
% 0.20/0.56 stat_binres_derived_cl: 212
% 0.20/0.56 stat_binres_derived_cl_h: 0
% 0.20/0.56 stat_factor_derived_cl: 30
% 0.20/0.56 stat_para_derived_cl: 114
% 0.20/0.56 stat_tautologies_discarded: 19
% 0.20/0.56 stat_forward_subsumed: 95
% 0.20/0.56 stat_derived_cut: 63
% 0.20/0.56 stat_derived_rewritten: 0
% 0.20/0.56 stat_weight_discarded_building: 0
% 0.20/0.56 stat_weight_discarded_cl: 0
% 0.20/0.56 stat_internlimit_discarded_cl: 0
% 0.20/0.56 stat_simplified: 0 simplified 0 derived 0 given
% 0.20/0.56 stat_kept_cl: 232
% 0.20/0.56 stat_built_cl: 570
% 0.20/0.56 stat_hyperres_partial_cl: 0
% 0.20/0.56 stat_made_rewriters: 0
% 0.20/0.56 stat_backward_subsumed: 0
% 0.20/0.56 stat_propagated_subsumed: 0
% 0.20/0.56 stat_clsubs_attempted: 272
% 0.20/0.56 stat_clsubs_fact_groundunit_found: 1
% 0.20/0.56 stat_clsubs_rule_groundunit_found: 11
% 0.20/0.56 stat_clsubs_top_meta_attempted: 16077
% 0.20/0.56 stat_clsubs_top_meta_failed: 15805
% 0.20/0.56 stat_clsubs_top_meta_nonpref_attempted: 16077
% 0.20/0.56 stat_clsubs_top_meta_nonpref_succeeded: 3536
% 0.20/0.56 stat_clsubs_top_meta_pref_attempted: 3536
% 0.20/0.56 stat_clsubs_top_meta_pref1_succeeded: 878
% 0.20/0.56 stat_clsubs_top_meta_pref2_succeeded: 350
% 0.20/0.56 stat_clsubs_top_meta_pref3_succeeded: 272
% 0.20/0.56 stat_clsubs_top_meta_pref_succeeded: 272
% 0.20/0.56 stat_clsubs_meta_attempted: 845
% 0.20/0.56 stat_clsubs_meta_failed: 286
% 0.20/0.56 stat_clsubs_predsymbs_attempted: 0
% 0.20/0.56 stat_clsubs_unit_attempted: 90
% 0.20/0.56 stat_clsubs_full_attempted: 182
% 0.20/0.56 stat_forwardsubs_attempted: 328
% 0.20/0.56 stat_lit_hash_added: 160
% 0.20/0.56 stat_lit_hash_computed: 3682
% 0.20/0.56 stat_lit_hash_match_found: 188
% 0.20/0.56 stat_lit_hash_match_miss: 4943
% 0.20/0.56 stat_lit_hash_cut_ok: 74
% 0.20/0.56 stat_lit_strong_cut_ok: 3
% 0.20/0.56 stat_lit_hash_subsume_ok: 95
% 0.20/0.56 clqueue els 10000000 used 1
% 0.20/0.56 clactive els 10000000 used 170
% 0.20/0.56 clactivesubsume els 10000000 used 865
% 0.20/0.56 queue_termbuf els 200000000 used 20916
% 0.20/0.56 hyper_termbuf els 100000000 used 1
% 0.20/0.56 active_termbuf els 100000000 used 9964
% 0.20/0.56 varstack els 5000 last used 1
% 0.20/0.56 given_termbuf els 10000000 last used 1
% 0.20/0.56 simplified_termbuf els 10000000 last used 1
% 0.20/0.56 derived_termbuf els 10000000 last used 21
% 0.20/0.56 wr_mallocs: 1816
% 0.20/0.56 wr_callocs: 21
% 0.20/0.56 wr_reallocs: 35
% 0.20/0.56 wr_frees: 2
% 0.20/0.56 wr_malloc_bytes: 4162641012
% 0.20/0.56 wr_calloc_bytes: 112065536
% 0.20/0.56 wr_realloc_bytes: 25856
% 0.20/0.56 wr_realloc_freebytes: 0
% 0.20/0.56 ----------------------------------
%------------------------------------------------------------------------------