%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : MGT020-1 : TPTP v9.3.0. Released v2.4.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n010.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 06:10:39 AM UTC 2026
% Result : Unsatisfiable 0.22s 0.52s
% Output : CNFRefutation 0.22s
% Verified :
% SZS Type : ERROR: Analysing output (Could not find formula named mp_positive_function_difference_25ERROR: Could not build tree for root '33'ERROR: MakeTreeStats fails)
% Comments :
%------------------------------------------------------------------------------
cnf('1',plain,
( decreases(difference(disbanding_rate(first_movers,X),disbanding_rate(efficient_producers,X)))
| ~ greater(disbanding_rate(first_movers,Y),disbanding_rate(efficient_producers,Y))
| greater(disbanding_rate(first_movers,Z),disbanding_rate(efficient_producers,Z))
| ~ subpopulations(first_movers,efficient_producers,U,Z)
| ~ greater_or_equal(Z,X)
| ~ greater_or_equal(X,Y)
| ~ environment(U) ),
inference(cnf_transformation,[],[mp_positive_function_difference_25]) ).
cnf('2',plain,
( ~ subpopulations(first_movers,efficient_producers,X,Y)
| greater_or_equal(Y,initial_FM_EP(X))
| ~ environment(X) ),
inference(cnf_transformation,[],[mp_earliest_time_point_24]) ).
cnf('3',plain,
subpopulations(first_movers,efficient_producers,sk1,sk2),
inference(cnf_transformation,[],[prove_l2_34]) ).
cnf('4',plain,
environment(sk1),
inference(cnf_transformation,[],[prove_l2_33]) ).
cnf('5',plain,
greater_or_equal(sk2,initial_FM_EP(sk1)),
inference(resolution,[then_simplify],['2','3','4']) ).
cnf('6',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_22]) ).
cnf('7',plain,
~ decreases(difference(disbanding_rate(first_movers,sk2),disbanding_rate(efficient_producers,sk2))),
inference(resolution,[then_simplify],['6','3','4']) ).
cnf('8',plain,
( greater(disbanding_rate(first_movers,initial_FM_EP(X)),disbanding_rate(efficient_producers,initial_FM_EP(X)))
| ~ environment(X) ),
inference(cnf_transformation,[],[a8_31]) ).
cnf('9',plain,
environment(sk1),
inference(cnf_transformation,[],[prove_l2_33]) ).
cnf('10',plain,
greater(disbanding_rate(first_movers,initial_FM_EP(sk1)),disbanding_rate(efficient_producers,initial_FM_EP(sk1))),
inference(resolution,[],['8','9']) ).
cnf('11',plain,
( greater(disbanding_rate(first_movers,X),disbanding_rate(efficient_producers,X))
| ~ subpopulations(first_movers,efficient_producers,Y,X)
| ~ greater_or_equal(X,sk2)
| ~ environment(Y) ),
inference(resolution,[then_simplify],['1','5','7','10']) ).
cnf('12',plain,
~ greater(disbanding_rate(first_movers,sk2),disbanding_rate(efficient_producers,sk2)),
inference(cnf_transformation,[],[prove_l2_35]) ).
cnf('13',plain,
~ greater_or_equal(sk2,sk2),
inference(resolution,[then_simplify],['11','3','12','4']) ).
cnf('14',plain,
( ~ greater_or_equal(X,Y)
| greater(X,Y)
| X = Y ),
inference(cnf_transformation,[],[mp_greater_or_equal_30]) ).
cnf('15',plain,
( greater(sk2,initial_FM_EP(sk1))
| sk2 = initial_FM_EP(sk1) ),
inference(resolution,[],['5','14']) ).
cnf('16',plain,
( greater(sk2,initial_FM_EP(sk1))
| greater_or_equal(sk2,sk2) ),
inference(paramodulation,[],['15','5']) ).
cnf('17',plain,
greater(sk2,initial_FM_EP(sk1)),
inference(resolution,[],['13','16']) ).
cnf('18',plain,
( ~ greater_or_equal(X,start_time(Y))
| ~ greater(Z,X)
| ~ in_environment(Y,Z)
| in_environment(Y,X)
| ~ environment(Y) ),
inference(cnf_transformation,[],[mp_times_in_order_28]) ).
cnf('19',plain,
( ~ greater_or_equal(X,start_time(sk1))
| ~ in_environment(sk1,Y)
| in_environment(sk1,X)
| ~ greater(Y,X) ),
inference(resolution,[],['18','9']) ).
cnf('20',plain,
( greater_or_equal(initial_FM_EP(X),start_time(X))
| ~ environment(X) ),
inference(cnf_transformation,[],[mp_initial_time_27]) ).
cnf('21',plain,
greater_or_equal(initial_FM_EP(sk1),start_time(sk1)),
inference(resolution,[],['20','9']) ).
cnf('22',plain,
( ~ subpopulations(first_movers,efficient_producers,X,Y)
| in_environment(X,Y)
| ~ environment(X) ),
inference(cnf_transformation,[],[mp_time_point_occurs_26]) ).
cnf('23',plain,
in_environment(sk1,sk2),
inference(resolution,[then_simplify],['22','3','4']) ).
cnf('24',plain,
in_environment(sk1,initial_FM_EP(sk1)),
inference(resolution,[then_simplify],['17','19','21','23']) ).
cnf('25',plain,
( subpopulations(first_movers,efficient_producers,X,initial_FM_EP(X))
| ~ in_environment(X,initial_FM_EP(X))
| ~ environment(X) ),
inference(cnf_transformation,[],[mp_earliest_time_point_23]) ).
cnf('26',plain,
subpopulations(first_movers,efficient_producers,sk1,initial_FM_EP(sk1)),
inference(resolution,[then_simplify],['24','25','4']) ).
cnf('27',plain,
( ~ subpopulations(first_movers,efficient_producers,sk1,X)
| greater_or_equal(X,initial_FM_EP(sk1)) ),
inference(resolution,[],['2','9']) ).
cnf('28',plain,
greater_or_equal(initial_FM_EP(sk1),initial_FM_EP(sk1)),
inference(resolution,[],['26','27']) ).
cnf('29',plain,
( ~ decreases(difference(disbanding_rate(first_movers,X),disbanding_rate(efficient_producers,X)))
| ~ subpopulations(first_movers,efficient_producers,sk1,X) ),
inference(resolution,[],['6','9']) ).
cnf('30',plain,
~ decreases(difference(disbanding_rate(first_movers,initial_FM_EP(sk1)),disbanding_rate(efficient_producers,initial_FM_EP(sk1)))),
inference(resolution,[],['26','29']) ).
cnf('31',plain,
( greater(disbanding_rate(first_movers,X),disbanding_rate(efficient_producers,X))
| ~ subpopulations(first_movers,efficient_producers,Y,X)
| ~ greater_or_equal(X,initial_FM_EP(sk1))
| ~ environment(Y) ),
inference(resolution,[then_simplify],['28','1','30','10']) ).
cnf('32',plain,
greater_or_equal(sk2,initial_FM_EP(sk1)),
inference(resolution,[then_simplify],['2','3','4']) ).
cnf('33',plain,
$false,
inference(resolution,[then_simplify],['31','3','12','32','4']) ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.03 % Problem : MGT020-1 : TPTP v9.3.0. Released v2.4.0.
% 0.00/0.04 % Command : gkc %s
% 0.10/0.37 % Computer : n010.cluster.edu
% 0.10/0.37 % Model : x86_64 x86_64
% 0.10/0.37 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.10/0.37 % Memory : 8046.5625MB
% 0.10/0.37 % OS : Linux 6.8.0-71-generic
% 0.10/0.37 % CPULimit : 300
% 0.10/0.37 % WCLimit : 300
% 0.10/0.37 % DateTime : Mon Sep 7 12:01:10 UTC 2026
% 0.10/0.37 % CPUTime :
% 0.22/0.50
% 0.22/0.50 input clause set summed statistics:
% 0.22/0.50 ----------------------------------
% 0.22/0.50 in_clause_count: 14
% 0.22/0.50 in_rule_clause_count: 12
% 0.22/0.50 in_fact_clause_count: 2
% 0.22/0.50 in_answer_clause_count: 0
% 0.22/0.50 in_ground_clause_count: 3
% 0.22/0.50 in_unit_clause_count: 3
% 0.22/0.50 in_horn_clause_count: 12
% 0.22/0.50 in_pos_clause_count: 2
% 0.22/0.50 in_neg_clause_count: 2
% 0.22/0.50 in_poseq_clause_count: 1
% 0.22/0.50 in_negeq_clause_count: 0
% 0.22/0.50 in_unitposeq_clause_count: 0
% 0.22/0.50 in_chain_clause_count: 0
% 0.22/0.50 in_min_length: 1
% 0.22/0.50 in_max_length: 7
% 0.22/0.50 in_min_depth: 1
% 0.22/0.50 in_max_depth: 3
% 0.22/0.50 in_min_size: 2
% 0.22/0.50 in_max_size: 35
% 0.22/0.50 in_min_vars: 0
% 0.22/0.50 in_max_vars: 4
% 0.22/0.50 in_extaxiom_count: 0
% 0.22/0.50 in_axiom_count: 9
% 0.22/0.50 in_assumption_count: 2
% 0.22/0.50 in_goal_count: 3
% 0.22/0.50 in_neg_goal_count: 1
% 0.22/0.50 in_pos_goal_count: 2
% 0.22/0.50 in_posunit_goal_count: 2
% 0.22/0.50
% 0.22/0.50 auto guide:
% 0.22/0.50 -----------
% 0.22/0.50 {
% 0.22/0.50 "print":1,
% 0.22/0.50 "print_level": 15,
% 0.22/0.50 "max_size": 0,
% 0.22/0.50 "max_depth": 0,
% 0.22/0.50 "max_length": 0,
% 0.22/0.50 "max_dseconds": 0,
% 0.22/0.50 "runs":[
% 0.22/0.50 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.22/0.50 {"max_dseconds":1, "sine":5, "strategy":["negative_pref"], "query_preference":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.22/0.50 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.22/0.50 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.22/0.50 {"max_dseconds":1, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.22/0.50 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.22/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.22/0.50 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_deep_para"], "query_preference":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.22/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.22/0.50 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.22/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.22/0.50 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.22/0.50 {"max_dseconds":1, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.22/0.50 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.22/0.50 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.22/0.50 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para","prohibit_unordered_para"], "query_preference":1, "reverse_clauselist":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.22/0.50 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.22/0.50 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":0, "strategy":["query_focus", "posunitpara"], "max_dseconds":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":2},
% 0.22/0.50 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":1},
% 0.22/0.50 {"weight_select_ratio":100, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "equality":0},
% 0.22/0.50 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.22/0.50 {"var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["positive_pref"], "max_dseconds":1},
% 0.22/0.50 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.22/0.50 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1, "max_size":17},
% 0.22/0.50 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.22/0.50 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.22/0.50 {"max_dseconds":1, "sine":5, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.22/0.50 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.22/0.50 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.22/0.50 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "max_size":30, "max_depth":10, "max_weight":300, "weight_select_ratio":1, "rewrite":0},
% 0.22/0.50 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.22/0.50 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":2},
% 0.22/0.50 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.22/0.50 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.22/0.50 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "rewrite":0},
% 0.22/0.50 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "rewrite":0},
% 0.22/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.22/0.50 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":2},
% 0.22/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "length_penalty":100},
% 0.22/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":3},
% 0.22/0.50 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":30, "depth_penalty":100},
% 0.22/0.50 {"max_dseconds":1, "strategy":["negative_pref", "posunitpara"], "query_preference":1, "max_depth":2, "depth_penalty":50, "length_penalty":100},
% 0.22/0.50 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "query_preference":0},
% 0.22/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":1},
% 0.22/0.50 {"depth_penalty":50, "query_preference":2, "strategy":["negative_pref"], "max_dseconds":1},
% 0.22/0.50 {"max_depth":0, "length_penalty":100, "query_preference":2, "strategy":["hardness_pref", "posunitpara"], "max_dseconds":1},
% 0.22/0.50 {"weight_select_ratio":100, "query_preference":1, "strategy":["negative_pref"], "max_dseconds":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "max_depth":2},
% 0.22/0.50 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.22/0.50 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "weight_select_ratio":1, "query_preference":0},
% 0.22/0.50 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.22/0.50 {"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":1},
% 0.22/0.50 {"max_depth":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.22/0.50 {"depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":0, "depth_penalty":50, "length_penalty":100},
% 0.22/0.50 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.22/0.50 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.22/0.50 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "max_depth":2},
% 0.22/0.50 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.22/0.50 {"max_dseconds":1, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.22/0.50 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.22/0.50 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight","prohibit_unordered_para"], "max_dseconds":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["query_focus", "posunitpara"], "query_preference":1, "depth_penalty":50, "length_penalty":100},
% 0.22/0.50 {"depth_penalty":50, "query_preference":1, "strategy":["hardness_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.22/0.50 {"rewrite":0, "depth_penalty":50, "query_preference":1, "strategy":["query_focus", "hornpref"], "max_dseconds":1},
% 0.22/0.50 {"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":1},
% 0.22/0.50 {"query_preference":1, "strategy":["unit", "max_weight"], "max_dseconds":1},
% 0.22/0.50 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "weight_select_ratio":30, "depth_penalty":100, "length_penalty":100},
% 0.22/0.50 {"length_penalty":100, "query_preference":1, "strategy":["positive_pref", "posunitpara"], "max_dseconds":1},
% 0.22/0.50 {"weight_select_ratio":100, "rewrite":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.22/0.50
% 0.22/0.50 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.22/0.50 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.22/0.50 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.22/0.50 {"max_dseconds":10, "sine":5, "strategy":["negative_pref"], "query_preference":1},
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% 0.22/0.51 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight"], "max_dseconds":50},
% 0.22/0.51 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight","prohibit_unordered_para"], "max_dseconds":50},
% 0.22/0.51 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.22/0.51 {"max_dseconds":50, "strategy":["query_focus", "posunitpara"], "query_preference":1, "depth_penalty":50, "length_penalty":100},
% 0.22/0.51 {"depth_penalty":50, "query_preference":1, "strategy":["hardness_pref", "hornpref", "max_weight"], "max_dseconds":50},
% 0.22/0.51 {"rewrite":0, "depth_penalty":50, "query_preference":1, "strategy":["query_focus", "hornpref"], "max_dseconds":50},
% 0.22/0.51 {"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},
% 0.22/0.51 {"query_preference":1, "strategy":["unit", "max_weight"], "max_dseconds":50},
% 0.22/0.51 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "weight_select_ratio":30, "depth_penalty":100, "length_penalty":100},
% 0.22/0.51 {"length_penalty":100, "query_preference":1, "strategy":["positive_pref", "posunitpara"], "max_dseconds":50},
% 0.22/0.51 {"weight_select_ratio":100, "rewrite":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":50},
% 0.22/0.51
% 0.22/0.51 {"max_dseconds":250, "strategy":["unit"], "query_preference":1},
% 0.22/0.51 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.22/0.51 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1},
% 0.22/0.51 {"max_dseconds":250, "strategy":["unit"], "query_preference":0},
% 0.22/0.51 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0},
% 0.22/0.51 {"max_dseconds":250, "strategy":["hardness_pref"], "query_preference":1},
% 0.22/0.51 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.22/0.51 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.22/0.51 {"max_dseconds":250, "strategy":["positive_pref"], "query_preference":0},
% 0.22/0.51 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.22/0.51 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.22/0.51 {"max_dseconds":250, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.22/0.51 {"max_dseconds":250, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.22/0.51 {"max_dseconds":250, "strategy":["query_focus", "double"], "query_preference":1},
% 0.22/0.51 {"max_dseconds":250, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.22/0.51 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.22/0.51 {"max_dseconds":250, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.22/0.51 {"max_dseconds":250, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.22/0.51 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.22/0.51 {"max_dseconds":250, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.22/0.51
% 0.22/0.51 {"max_dseconds":1250, "strategy":["unit"], "query_preference":1},
% 0.22/0.51 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.22/0.51 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1},
% 0.22/0.51 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0},
% 0.22/0.51 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0},
% 0.22/0.51 {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":1},
% 0.22/0.51 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.22/0.51 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.22/0.51 {"max_dseconds":1250, "strategy":["positive_pref"], "query_preference":0},
% 0.22/0.51 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.22/0.51 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.22/0.51 {"max_dseconds":1250, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.22/0.51 {"max_dseconds":1250, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.22/0.51 {"max_dseconds":1250, "strategy":["query_focus", "double"], "query_preference":1},
% 0.22/0.51 {"max_dseconds":1250, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.22/0.51 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.22/0.51 {"max_dseconds":1250, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.22/0.51 {"max_dseconds":1250, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.22/0.51 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "rewrite":0}
% 0.22/0.51
% 0.22/0.51 ]}
% 0.22/0.51
% 0.22/0.51
% 0.22/0.51 **** run 1 fork 0 starts with strategy
% 0.22/0.51 {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.22/0.51
% 0.22/0.51 **** run 2 fork 1 starts with strategy
% 0.22/0.51 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.22/0.52
% 0.22/0.52 **** run 3 fork 2 starts with strategy
% 0.22/0.52 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1}
% 0.22/0.52
% 0.22/0.52 **** run 4 fork 3 starts with strategy
% 0.22/0.52 {"max_dseconds":1,"sine":5,"strategy":["negative_pref"],"query_preference":1}
% 0.22/0.52
% 0.22/0.52 **** run 5 fork 4 starts with strategy
% 0.22/0.52 {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para"],"query_preference":0}
% 0.22/0.52
% 0.22/0.52
% 0.22/0.52 result: proof found
% 0.22/0.52 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.22/0.52 by run 1 fork 0 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.22/0.52 % SZS status Unsatisfiable for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.22/0.52
% 0.22/0.52 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% See solution above
% 0.22/0.52
% 0.22/0.52 run 1 fork 0 statistics:
% 0.22/0.52 ----------------------------------
% 0.22/0.52 this run seconds: 0.006001
% 0.22/0.52 total seconds: 0.009497
% 0.22/0.52 stat_given_used: 88
% 0.22/0.52 stat_given_used_at_endgame: 0
% 0.22/0.52 stat_given_candidates: 161
% 0.22/0.52 stat_given_candidates_at_endgame: 0
% 0.22/0.52 stat_given_candidates_h: 0
% 0.22/0.52 stat_binres_derived_cl: 173
% 0.22/0.52 stat_binres_derived_cl_h: 0
% 0.22/0.52 stat_factor_derived_cl: 16
% 0.22/0.52 stat_para_derived_cl: 24
% 0.22/0.52 stat_tautologies_discarded: 24
% 0.22/0.52 stat_forward_subsumed: 54
% 0.22/0.52 stat_derived_cut: 35
% 0.22/0.52 stat_derived_rewritten: 0
% 0.22/0.52 stat_weight_discarded_building: 0
% 0.22/0.52 stat_weight_discarded_cl: 0
% 0.22/0.52 stat_internlimit_discarded_cl: 0
% 0.22/0.52 stat_simplified: 1 simplified 0 derived 0 given
% 0.22/0.52 stat_kept_cl: 133
% 0.22/0.52 stat_built_cl: 310
% 0.22/0.52 stat_hyperres_partial_cl: 0
% 0.22/0.52 stat_made_rewriters: 0
% 0.22/0.52 stat_backward_subsumed: 0
% 0.22/0.52 stat_propagated_subsumed: 0
% 0.22/0.52 stat_clsubs_attempted: 155
% 0.22/0.52 stat_clsubs_fact_groundunit_found: 3
% 0.22/0.52 stat_clsubs_rule_groundunit_found: 4
% 0.22/0.52 stat_clsubs_top_meta_attempted: 5109
% 0.22/0.52 stat_clsubs_top_meta_failed: 4954
% 0.22/0.52 stat_clsubs_top_meta_nonpref_attempted: 5109
% 0.22/0.52 stat_clsubs_top_meta_nonpref_succeeded: 1180
% 0.22/0.52 stat_clsubs_top_meta_pref_attempted: 1180
% 0.22/0.52 stat_clsubs_top_meta_pref1_succeeded: 278
% 0.22/0.52 stat_clsubs_top_meta_pref2_succeeded: 160
% 0.22/0.52 stat_clsubs_top_meta_pref3_succeeded: 155
% 0.22/0.52 stat_clsubs_top_meta_pref_succeeded: 155
% 0.22/0.52 stat_clsubs_meta_attempted: 558
% 0.22/0.52 stat_clsubs_meta_failed: 173
% 0.22/0.52 stat_clsubs_predsymbs_attempted: 0
% 0.22/0.52 stat_clsubs_unit_attempted: 0
% 0.22/0.52 stat_clsubs_full_attempted: 155
% 0.22/0.52 stat_forwardsubs_attempted: 188
% 0.22/0.52 stat_lit_hash_added: 134
% 0.22/0.52 stat_lit_hash_computed: 1941
% 0.22/0.52 stat_lit_hash_match_found: 114
% 0.22/0.52 stat_lit_hash_match_miss: 2450
% 0.22/0.52 stat_lit_hash_cut_ok: 52
% 0.22/0.52 stat_lit_strong_cut_ok: 0
% 0.22/0.52 stat_lit_hash_subsume_ok: 54
% 0.22/0.52 clqueue els 10000000 used 1
% 0.22/0.52 clactive els 10000000 used 89
% 0.22/0.52 clactivesubsume els 10000000 used 445
% 0.22/0.52 queue_termbuf els 200000000 used 7971
% 0.22/0.52 hyper_termbuf els 100000000 used 1
% 0.22/0.52 active_termbuf els 100000000 used 3792
% 0.22/0.52 varstack els 5000 last used 1
% 0.22/0.52 given_termbuf els 10000000 last used 1
% 0.22/0.52 simplified_termbuf els 10000000 last used 1
% 0.22/0.52 derived_termbuf els 10000000 last used 61
% 0.22/0.52 wr_mallocs: 1507
% 0.22/0.52 wr_callocs: 21
% 0.22/0.52 wr_reallocs: 32
% 0.22/0.52 wr_frees: 2
% 0.22/0.52 wr_malloc_bytes: 4162628596
% 0.22/0.52 wr_calloc_bytes: 112065536
% 0.22/0.52 wr_realloc_bytes: 17632
% 0.22/0.52 wr_realloc_freebytes: 0
% 0.22/0.52 ----------------------------------
% 0.22/0.52
% 0.22/0.52 **** run 6 fork 5 starts with strategy
% 0.22/0.52 {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":0}
% 0.22/0.53
% 0.22/0.53
% 0.22/0.53 result: proof found
% 0.22/0.53 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.22/0.53 by run 2 fork 1 strategy {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.22/0.53 % SZS status Unsatisfiable for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.22/0.53
% 0.22/0.53 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.22/0.53 cnf('1', plain, (subpopulations(first_movers,efficient_producers,sk1,sk2)),
% 0.22/0.53 inference(cnf_transformation,[],['prove_l2_34'])).
% 0.22/0.53 cnf('2', plain, (decreases(difference(disbanding_rate(first_movers,X),disbanding_rate(efficient_producers,X))) | ~greater(disbanding_rate(first_movers,Y),disbanding_rate(efficient_producers,Y)) | greater(disbanding_rate(first_movers,Z),disbanding_rate(efficient_producers,Z)) | ~subpopulations(first_movers,efficient_producers,U,Z) | ~greater_or_equal(Z,X) | ~greater_or_equal(X,Y) | ~environment(U)),
% 0.22/0.53 inference(cnf_transformation,[],['mp_positive_function_difference_25'])).
% 0.22/0.53 cnf('3', plain, (~greater(disbanding_rate(first_movers,sk2),disbanding_rate(efficient_producers,sk2))),
% 0.22/0.53 inference(cnf_transformation,[],['prove_l2_35'])).
% 0.22/0.53 cnf('4', plain, (environment(sk1)),
% 0.22/0.53 inference(cnf_transformation,[],['prove_l2_33'])).
% 0.22/0.53 cnf('5', plain, (decreases(difference(disbanding_rate(first_movers,X),disbanding_rate(efficient_producers,X))) | ~greater(disbanding_rate(first_movers,Y),disbanding_rate(efficient_producers,Y)) | ~greater_or_equal(sk2,X) | ~greater_or_equal(X,Y)),
% 0.22/0.53 inference(resolution,[then_simplify],['1','2','3','4'])).
% 0.22/0.53 cnf('6', plain, (~subpopulations(first_movers,efficient_producers,X,Y) | in_environment(X,Y) | ~environment(X)),
% 0.22/0.53 inference(cnf_transformation,[],['mp_time_point_occurs_26'])).
% 0.22/0.53 cnf('7', plain, (in_environment(sk1,sk2)),
% 0.22/0.53 inference(resolution,[then_simplify],['1','6','4'])).
% 0.22/0.53 cnf('8', plain, (~greater_or_equal(X,start_time(Y)) | ~greater(Z,X) | ~in_environment(Y,Z) | in_environment(Y,X) | ~environment(Y)),
% 0.22/0.53 inference(cnf_transformation,[],['mp_times_in_order_28'])).
% 0.22/0.53 cnf('9', plain, (~greater_or_equal(X,start_time(sk1)) | ~greater(sk2,X) | in_environment(sk1,X)),
% 0.22/0.53 inference(resolution,[then_simplify],['7','8','4'])).
% 0.22/0.53 cnf('10', plain, (greater_or_equal(initial_FM_EP(X),start_time(X)) | ~environment(X)),
% 0.22/0.53 inference(cnf_transformation,[],['mp_initial_time_27'])).
% 0.22/0.53 cnf('11', plain, (~greater(sk2,initial_FM_EP(sk1)) | in_environment(sk1,initial_FM_EP(sk1))),
% 0.22/0.53 inference(resolution,[then_simplify],['9','10','4'])).
% 0.22/0.53 cnf('12', plain, (~subpopulations(first_movers,efficient_producers,X,Y) | greater_or_equal(Y,initial_FM_EP(X)) | ~environment(X)),
% 0.22/0.53 inference(cnf_transformation,[],['mp_earliest_time_point_24'])).
% 0.22/0.53 cnf('13', plain, (greater_or_equal(sk2,initial_FM_EP(sk1))),
% 0.22/0.53 inference(resolution,[then_simplify],['1','12','4'])).
% 0.22/0.53 cnf('14', plain, (~greater_or_equal(X,Y) | greater(X,Y) | X = Y),
% 0.22/0.53 inference(cnf_transformation,[],['mp_greater_or_equal_30'])).
% 0.22/0.53 cnf('15', plain, (greater(sk2,initial_FM_EP(sk1)) | sk2 = initial_FM_EP(sk1)),
% 0.22/0.53 inference(resolution,[],['13','14'])).
% 0.22/0.53 cnf('16', 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)),
% 0.22/0.53 inference(cnf_transformation,[],['a10_32'])).
% 0.22/0.53 cnf('17', plain, (~subpopulations(first_movers,efficient_producers,sk1,X) | subpopulations(first_movers,efficient_producers,sk1,Y) | ~greater_or_equal(sk2,Y) | ~greater_or_equal(Y,X)),
% 0.22/0.53 inference(resolution,[then_simplify],['16','1','4'])).
% 0.22/0.53 cnf('18', plain, (subpopulations(first_movers,efficient_producers,sk1,X) | ~greater_or_equal(sk2,X) | ~greater_or_equal(X,sk2)),
% 0.22/0.53 inference(resolution,[],['17','1'])).
% 0.22/0.53 cnf('19', plain, (~greater_or_equal(sk2,X) | in_environment(sk1,X) | ~greater_or_equal(X,sk2)),
% 0.22/0.53 inference(resolution,[then_simplify],['18','6','4'])).
% 0.22/0.53 cnf('20', plain, (~greater_or_equal(initial_FM_EP(sk1),sk2) | in_environment(sk1,initial_FM_EP(sk1))),
% 0.22/0.53 inference(resolution,[],['19','13'])).
% 0.22/0.53 cnf('21', plain, (~greater_or_equal(sk2,sk2) | in_environment(sk1,initial_FM_EP(sk1)) | greater(sk2,initial_FM_EP(sk1))),
% 0.22/0.53 inference(paramodulation,[],['15','20'])).
% 0.22/0.53 cnf('22', plain, (greater(sk2,initial_FM_EP(sk1)) | greater_or_equal(sk2,sk2)),
% 0.22/0.53 inference(paramodulation,[],['15','13'])).
% 0.22/0.53 cnf('23', plain, (in_environment(sk1,initial_FM_EP(sk1)) | greater(sk2,initial_FM_EP(sk1))),
% 0.22/0.53 inference(simplify,[],['21','22'])).
% 0.22/0.53 cnf('24', plain, (subpopulations(first_movers,efficient_producers,X,initial_FM_EP(X)) | ~in_environment(X,initial_FM_EP(X)) | ~environment(X)),
% 0.22/0.53 inference(cnf_transformation,[],['mp_earliest_time_point_23'])).
% 0.22/0.53 cnf('25', plain, (subpopulations(first_movers,efficient_producers,sk1,initial_FM_EP(sk1)) | greater(sk2,initial_FM_EP(sk1))),
% 0.22/0.53 inference(resolution,[then_simplify],['23','24','4'])).
% 0.22/0.53 cnf('26', plain, (environment(sk1)),
% 0.22/0.53 inference(cnf_transformation,[],['prove_l2_33'])).
% 0.22/0.53 cnf('27', plain, (~subpopulations(first_movers,efficient_producers,sk1,X) | in_environment(sk1,X)),
% 0.22/0.53 inference(resolution,[],['26','6'])).
% 0.22/0.53 cnf('28', plain, (in_environment(sk1,initial_FM_EP(sk1)) | greater(sk2,initial_FM_EP(sk1))),
% 0.22/0.53 inference(resolution,[],['25','27'])).
% 0.22/0.53 cnf('29', plain, (in_environment(sk1,initial_FM_EP(sk1))),
% 0.22/0.53 inference(simplify,[],['11','28'])).
% 0.22/0.53 cnf('30', plain, (subpopulations(first_movers,efficient_producers,sk1,initial_FM_EP(sk1))),
% 0.22/0.53 inference(resolution,[then_simplify],['29','24','4'])).
% 0.22/0.53 cnf('31', plain, (~decreases(difference(disbanding_rate(first_movers,X),disbanding_rate(efficient_producers,X))) | ~subpopulations(first_movers,efficient_producers,Y,X) | ~environment(Y)),
% 0.22/0.53 inference(cnf_transformation,[],['l3_22'])).
% 0.22/0.53 cnf('32', plain, (~decreases(difference(disbanding_rate(first_movers,initial_FM_EP(sk1)),disbanding_rate(efficient_producers,initial_FM_EP(sk1))))),
% 0.22/0.53 inference(resolution,[then_simplify],['30','31','4'])).
% 0.22/0.53 cnf('33', plain, (greater_or_equal(sk2,initial_FM_EP(sk1))),
% 0.22/0.53 inference(resolution,[then_simplify],['1','12','4'])).
% 0.22/0.53 cnf('34', plain, (~greater(disbanding_rate(first_movers,X),disbanding_rate(efficient_producers,X)) | ~greater_or_equal(initial_FM_EP(sk1),X)),
% 0.22/0.53 inference(resolution,[then_simplify],['5','32','33'])).
% 0.22/0.53 cnf('35', plain, (greater(disbanding_rate(first_movers,initial_FM_EP(X)),disbanding_rate(efficient_producers,initial_FM_EP(X))) | ~environment(X)),
% 0.22/0.53 inference(cnf_transformation,[],['a8_31'])).
% 0.22/0.53 cnf('36', plain, (~greater_or_equal(initial_FM_EP(sk1),initial_FM_EP(X)) | ~environment(X)),
% 0.22/0.53 inference(resolution,[],['34','35'])).
% 0.22/0.53 cnf('37', plain, (~subpopulations(first_movers,efficient_producers,sk1,X) | greater_or_equal(X,initial_FM_EP(sk1))),
% 0.22/0.53 inference(resolution,[],['26','12'])).
% 0.22/0.53 cnf('38', plain, (subpopulations(first_movers,efficient_producers,sk1,initial_FM_EP(sk1))),
% 0.22/0.53 inference(resolution,[then_simplify],['29','24','4'])).
% 0.22/0.53 cnf('39', plain, ($false),
% 0.22/0.53 inference(resolution,[then_simplify],['36','37','4','38'])).
% 0.22/0.53
% 0.22/0.53 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.22/0.53
% 0.22/0.53 run 2 fork 1 statistics:
% 0.22/0.53 ----------------------------------
% 0.22/0.53 this run seconds: 0.008660
% 0.22/0.53 total seconds: 0.010923
% 0.22/0.53 stat_given_used: 98
% 0.22/0.53 stat_given_used_at_endgame: 0
% 0.22/0.53 stat_given_candidates: 177
% 0.22/0.53 stat_given_candidates_at_endgame: 0
% 0.22/0.53 stat_given_candidates_h: 0
% 0.22/0.53 stat_binres_derived_cl: 887
% 0.22/0.53 stat_binres_derived_cl_h: 0
% 0.22/0.53 stat_factor_derived_cl: 16
% 0.22/0.53 stat_para_derived_cl: 427
% 0.22/0.53 stat_tautologies_discarded: 45
% 0.22/0.53 stat_forward_subsumed: 254
% 0.22/0.53 stat_derived_cut: 258
% 0.22/0.53 stat_derived_rewritten: 0
% 0.22/0.53 stat_weight_discarded_building: 0
% 0.22/0.53 stat_weight_discarded_cl: 0
% 0.22/0.53 stat_internlimit_discarded_cl: 0
% 0.22/0.53 stat_simplified: 5 simplified 0 derived 0 given
% 0.22/0.53 stat_kept_cl: 1012
% 0.22/0.53 stat_built_cl: 1231
% 0.22/0.53 stat_hyperres_partial_cl: 0
% 0.22/0.53 stat_made_rewriters: 0
% 0.22/0.53 stat_backward_subsumed: 0
% 0.22/0.53 stat_propagated_subsumed: 0
% 0.22/0.53 stat_clsubs_attempted: 159
% 0.22/0.53 stat_clsubs_fact_groundunit_found: 2
% 0.22/0.53 stat_clsubs_rule_groundunit_found: 5
% 0.22/0.53 stat_clsubs_top_meta_attempted: 6728
% 0.22/0.53 stat_clsubs_top_meta_failed: 6569
% 0.22/0.53 stat_clsubs_top_meta_nonpref_attempted: 6728
% 0.22/0.53 stat_clsubs_top_meta_nonpref_succeeded: 1252
% 0.22/0.53 stat_clsubs_top_meta_pref_attempted: 1252
% 0.22/0.53 stat_clsubs_top_meta_pref1_succeeded: 299
% 0.22/0.53 stat_clsubs_top_meta_pref2_succeeded: 171
% 0.22/0.53 stat_clsubs_top_meta_pref3_succeeded: 159
% 0.22/0.53 stat_clsubs_top_meta_pref_succeeded: 159
% 0.22/0.53 stat_clsubs_meta_attempted: 587
% 0.22/0.53 stat_clsubs_meta_failed: 180
% 0.22/0.53 stat_clsubs_predsymbs_attempted: 0
% 0.22/0.53 stat_clsubs_unit_attempted: 0
% 0.22/0.53 stat_clsubs_full_attempted: 159
% 0.22/0.53 stat_forwardsubs_attempted: 1267
% 0.22/0.53 stat_lit_hash_added: 192
% 0.22/0.53 stat_lit_hash_computed: 10182
% 0.22/0.53 stat_lit_hash_match_found: 590
% 0.22/0.53 stat_lit_hash_match_miss: 14779
% 0.22/0.53 stat_lit_hash_cut_ok: 314
% 0.22/0.53 stat_lit_strong_cut_ok: 0
% 0.22/0.53 stat_lit_hash_subsume_ok: 254
% 0.22/0.53 clqueue els 10000000 used 1
% 0.22/0.53 clactive els 10000000 used 108
% 0.22/0.53 clactivesubsume els 10000000 used 565
% 0.22/0.53 queue_termbuf els 200000000 used 83965
% 0.22/0.53 hyper_termbuf els 100000000 used 1
% 0.22/0.53 active_termbuf els 100000000 used 4687
% 0.22/0.53 varstack els 5000 last used 1
% 0.22/0.53 given_termbuf els 10000000 last used 1
% 0.22/0.53 simplified_termbuf els 10000000 last used 1
% 0.22/0.53 derived_termbuf els 10000000 last used 39
% 0.22/0.53 wr_mallocs: 1783
% 0.22/0.53 wr_callocs: 21
% 0.22/0.53 wr_reallocs: 88
% 0.22/0.53 wr_frees: 2
% 0.22/0.53 wr_malloc_bytes: 4162643412
% 0.22/0.53 wr_calloc_bytes: 112065536
% 0.22/0.53 wr_realloc_bytes: 27376
% 0.22/0.53 wr_realloc_freebytes: 0
% 0.22/0.53 ----------------------------------
% 0.22/0.53
% 0.22/0.53 **** run 7 fork 6 starts with strategy
% 0.22/0.53 {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":1}
%------------------------------------------------------------------------------