TSTP Solution File: GRP573-1 by GKC---0.8

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : GKC---0.8
% Problem  : GRP573-1 : TPTP v8.1.2. Released v2.6.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : gkc %s

% Computer : n008.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 00:54:49 EDT 2023

% Result   : Unsatisfiable 0.19s 0.43s
% Output   : CNFRefutation 0.19s
% Verified : 
% SZS Type : ERROR: Analysing output (Could not find formula named identity)

% Comments : 
%------------------------------------------------------------------------------
cnf('1',plain,
    identity = double_divide(X,inverse(X)),
    inference(cnf_transformation,[],[identity]) ).

cnf('2',plain,
    multiply(X0,X1) = double_divide(double_divide(X1,X0),identity),
    inference(cnf_transformation,[],[multiply]) ).

cnf('3',plain,
    inverse(X) = double_divide(X,identity),
    inference(cnf_transformation,[],[inverse]) ).

cnf('4',plain,
    multiply(X,Y) = inverse(double_divide(Y,X)),
    inference(simplify,[],['2','3']) ).

cnf('5',plain,
    multiply(inverse(X),X) = inverse(identity),
    inference(paramodulation,[],['1','4']) ).

cnf('6',plain,
    double_divide(double_divide(X0,double_divide(double_divide(X1,double_divide(X2,X0)),double_divide(X2,identity))),double_divide(identity,identity)) = X1,
    inference(cnf_transformation,[],[single_axiom]) ).

cnf('7',plain,
    double_divide(double_divide(X,double_divide(double_divide(Y,double_divide(Z,X)),inverse(Z))),inverse(identity)) = Y,
    inference(simplify,[then_simplify],['6','3','3']) ).

cnf('8',plain,
    double_divide(double_divide(inverse(X3),double_divide(double_divide(Y3,identity),inverse(X3))),inverse(identity)) = Y3,
    inference(paramodulation,[],['1','7']) ).

cnf('9',plain,
    double_divide(double_divide(inverse(X),double_divide(inverse(Y),inverse(X))),inverse(identity)) = Y,
    inference(simplify,[],['8','3']) ).

cnf('10',plain,
    double_divide(double_divide(inverse(inverse(X3)),identity),inverse(identity)) = X3,
    inference(paramodulation,[],['1','9']) ).

cnf('11',plain,
    double_divide(inverse(inverse(inverse(X))),inverse(identity)) = X,
    inference(simplify,[],['10','3']) ).

cnf('12',plain,
    double_divide(double_divide(inverse(identity),X),inverse(identity)) = inverse(inverse(X)),
    inference(paramodulation,[],['11','9']) ).

cnf('13',plain,
    inverse(inverse(double_divide(inverse(X3),inverse(identity)))) = X3,
    inference(paramodulation,[],['12','9']) ).

cnf('14',plain,
    inverse(multiply(inverse(identity),inverse(X))) = X,
    inference(simplify,[],['13','4']) ).

cnf('15',plain,
    inverse(multiply(inverse(identity),X)) = multiply(inverse(identity),inverse(X)),
    inference(paramodulation,[],['14','14']) ).

cnf('16',plain,
    inverse(inverse(multiply(inverse(identity),X))) = X,
    inference(paramodulation,[],['15','14']) ).

cnf('17',plain,
    inverse(inverse(inverse(identity))) = identity,
    inference(paramodulation,[],['5','16']) ).

cnf('18',plain,
    inverse(inverse(double_divide(double_divide(X3,double_divide(Y3,inverse(identity))),inverse(Y3)))) = X3,
    inference(paramodulation,[],['12','7']) ).

cnf('19',plain,
    inverse(multiply(inverse(X),double_divide(Y,double_divide(X,inverse(identity))))) = Y,
    inference(simplify,[],['18','4']) ).

cnf('20',plain,
    inverse(multiply(inverse(inverse(inverse(inverse(X)))),double_divide(Y,X))) = Y,
    inference(paramodulation,[],['11','19']) ).

cnf('21',plain,
    inverse(multiply(inverse(inverse(identity)),double_divide(X,inverse(identity)))) = X,
    inference(paramodulation,[],['17','20']) ).

cnf('22',plain,
    inverse(multiply(inverse(inverse(identity)),X)) = inverse(inverse(inverse(X))),
    inference(paramodulation,[],['11','21']) ).

cnf('23',plain,
    inverse(inverse(identity)) = inverse(inverse(inverse(inverse(identity)))),
    inference(paramodulation,[],['5','22']) ).

cnf('24',plain,
    inverse(inverse(identity)) = inverse(identity),
    inference(simplify,[],['23','17']) ).

cnf('25',plain,
    inverse(inverse(identity)) = identity,
    inference(paramodulation,[],['24','17']) ).

cnf('26',plain,
    multiply(inverse(a1),a1) != identity,
    inference(cnf_transformation,[],[prove_these_axioms_1]) ).

cnf('27',plain,
    inverse(identity) != identity,
    inference(paramodulation,[],['5','26']) ).

cnf('28',plain,
    $false,
    inference(simplify,[then_simplify],['25','27','24']) ).


%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12  % Problem  : GRP573-1 : TPTP v8.1.2. Released v2.6.0.
% 0.00/0.13  % Command  : gkc %s
% 0.13/0.34  % Computer : n008.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 23:31:32 EDT 2023
% 0.13/0.34  % CPUTime  : 
% 0.13/0.39  
% 0.13/0.39  input clause set summed statistics:
% 0.13/0.39  ----------------------------------
% 0.13/0.39  in_clause_count:                     5
% 0.13/0.39  in_rule_clause_count:                5
% 0.13/0.39  in_fact_clause_count:                0
% 0.13/0.39  in_answer_clause_count:              0
% 0.13/0.39  in_ground_clause_count:              1
% 0.13/0.39  in_unit_clause_count:                5
% 0.13/0.39  in_horn_clause_count:                5
% 0.13/0.39  in_pos_clause_count:                 4
% 0.13/0.39  in_neg_clause_count:                 1
% 0.13/0.39  in_poseq_clause_count:               4
% 0.13/0.39  in_negeq_clause_count:               1
% 0.13/0.39  in_unitposeq_clause_count:           4
% 0.13/0.39  in_chain_clause_count:               0
% 0.13/0.39  in_min_length:             1
% 0.13/0.39  in_max_length:             1
% 0.13/0.39  in_min_depth:              2
% 0.13/0.39  in_max_depth:              6
% 0.13/0.39  in_min_size:               6
% 0.13/0.39  in_max_size:              17
% 0.13/0.39  in_min_vars:               0
% 0.13/0.39  in_max_vars:               3
% 0.13/0.39  in_extaxiom_count:                 0
% 0.13/0.39  in_axiom_count:                    4
% 0.13/0.39  in_assumption_count:               0
% 0.13/0.39  in_goal_count:                     1
% 0.13/0.39  in_neg_goal_count:                 1
% 0.13/0.39  in_pos_goal_count:                 0
% 0.13/0.39  in_posunit_goal_count:             0
% 0.13/0.39  
% 0.13/0.39  auto guide:
% 0.13/0.39  -----------
% 0.13/0.39  {
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% 0.13/0.39  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
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% 0.13/0.39  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.13/0.39  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.13/0.39  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.13/0.39  {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.13/0.39  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "rewrite":0},
% 0.13/0.39  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20, "rewrite":0},
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% 0.13/0.39  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.13/0.39  {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 0},
% 0.13/0.39  {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 1},
% 0.13/0.39  {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 2},
% 0.13/0.39  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "reverse_clauselist": 1},
% 0.13/0.39  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 2},
% 0.13/0.39  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 4},
% 0.13/0.39  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 6},
% 0.13/0.39  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 8},
% 0.13/0.39  {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 10},
% 0.13/0.39  {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":10},
% 0.13/0.39  {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":15},
% 0.13/0.39  {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":20},
% 0.13/0.39  {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":20, "weight_select_ratio":2},
% 0.13/0.39  {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.13/0.39  {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.13/0.39  {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.13/0.39  {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.13/0.39  {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.13/0.39  {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.13/0.39  {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.13/0.39  {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
% 0.13/0.39  {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.13/0.39  {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.13/0.39  {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.13/0.39  {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4},
% 0.13/0.39  
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
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% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
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% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 1},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 0},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.13/0.39  {"max_dseconds": 10, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
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% 0.13/0.39  
% 0.13/0.39  ]}
% 0.13/0.39  
% 0.13/0.39  
% 0.13/0.39  **** run 1 fork 0 starts with strategy
% 0.13/0.39  {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.13/0.39  
% 0.13/0.39  **** run 2 fork 1 starts with strategy
% 0.13/0.39  {"max_dseconds":1,"strategy":["unit"],"query_preference":0}
% 0.13/0.39  
% 0.13/0.39  **** run 3 fork 2 starts with strategy
% 0.13/0.39  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.13/0.39  
% 0.13/0.39  **** run 4 fork 3 starts with strategy
% 0.13/0.39  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20,"depth_penalty":100}
% 0.13/0.39  
% 0.13/0.39  **** run 5 fork 4 starts with strategy
% 0.13/0.39  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":20,"repeat_var_weight":1,"depth_penalty":100}
% 0.13/0.39  
% 0.13/0.39  **** run 7 fork 6 starts with strategy
% 0.13/0.39  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20}
% 0.13/0.39  
% 0.13/0.39  **** run 8 fork 7 starts with strategy
% 0.13/0.39  {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20,"depth_penalty":50}
% 0.13/0.39  
% 0.13/0.39  **** run 6 fork 5 starts with strategy
% 0.13/0.39  {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20}
% 0.19/0.43  
% 0.19/0.43  
% 0.19/0.43  result: proof found
% 0.19/0.43  for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.19/0.43  by run 3 fork 2 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.19/0.43  % SZS status Unsatisfiable for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.19/0.43  
% 0.19/0.43  % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p 
% See solution above
% 0.19/0.43  
% 0.19/0.43  run 3 fork 2 statistics:
% 0.19/0.43  ----------------------------------
% 0.19/0.43  this run seconds: 0.019685
% 0.19/0.43  total seconds: 0.039367
% 0.19/0.43  stat_given_used: 40
% 0.19/0.43  stat_given_used_at_endgame: 0
% 0.19/0.43  stat_given_candidates:   134
% 0.19/0.43  stat_given_candidates_at_endgame: 0
% 0.19/0.43  stat_given_candidates_h: 0
% 0.19/0.43  stat_binres_derived_cl:   0
% 0.19/0.43  stat_binres_derived_cl_h: 0
% 0.19/0.43  stat_factor_derived_cl: 0
% 0.19/0.43  stat_para_derived_cl: 1024
% 0.19/0.43  stat_tautologies_discarded: 0
% 0.19/0.43  stat_forward_subsumed: 92
% 0.19/0.43  stat_derived_cut: 1
% 0.19/0.43  stat_derived_rewritten: 9
% 0.19/0.43  stat_weight_discarded_building: 0
% 0.19/0.43  stat_weight_discarded_cl: 0
% 0.19/0.43  stat_internlimit_discarded_cl: 0
% 0.19/0.43  stat_simplified:  9 simplified 0 derived 0 given
% 0.19/0.43  stat_kept_cl: 839
% 0.19/0.43  stat_built_cl: 927
% 0.19/0.43  stat_hyperres_partial_cl: 0
% 0.19/0.43  stat_made_rewriters: 39
% 0.19/0.43  stat_backward_subsumed: 0
% 0.19/0.43  stat_propagated_subsumed: 0
% 0.19/0.43  stat_clsubs_attempted:                        64
% 0.19/0.43  stat_clsubs_fact_groundunit_found:             0
% 0.19/0.43  stat_clsubs_rule_groundunit_found:             0
% 0.19/0.43  stat_clsubs_top_meta_attempted:                721
% 0.19/0.43  stat_clsubs_top_meta_failed:                   657
% 0.19/0.43  stat_clsubs_top_meta_nonpref_attempted:                 721
% 0.19/0.43  stat_clsubs_top_meta_nonpref_succeeded:                 332
% 0.19/0.43  stat_clsubs_top_meta_pref_attempted:                    332
% 0.19/0.43  stat_clsubs_top_meta_pref1_succeeded:                   332
% 0.19/0.43  stat_clsubs_top_meta_pref2_succeeded:                    82
% 0.19/0.43  stat_clsubs_top_meta_pref3_succeeded:                    64
% 0.19/0.43  stat_clsubs_top_meta_pref_succeeded:                     64
% 0.19/0.43  stat_clsubs_meta_attempted:                   64
% 0.19/0.43  stat_clsubs_meta_failed:                       5
% 0.19/0.43  stat_clsubs_predsymbs_attempted:               0
% 0.19/0.43  stat_clsubs_unit_attempted:                   64
% 0.19/0.43  stat_clsubs_full_attempted:                    0
% 0.19/0.43  stat_forwardsubs_attempted:                  931
% 0.19/0.43  stat_lit_hash_added:                    848
% 0.19/0.43  stat_lit_hash_computed:                1824
% 0.19/0.43  stat_lit_hash_match_found:               93
% 0.19/0.43  stat_lit_hash_match_miss:              1731
% 0.19/0.43  stat_lit_hash_cut_ok:                     1
% 0.19/0.43  stat_lit_strong_cut_ok:                   0
% 0.19/0.43  stat_lit_hash_subsume_ok:                92
% 0.19/0.43  clqueue els 10000000 used 1
% 0.19/0.43  clactive els 10000000 used 41
% 0.19/0.43  clactivesubsume els 10000000 used 217
% 0.19/0.43  queue_termbuf els 200000000 used 66842
% 0.19/0.43  hyper_termbuf els 100000000 used 1
% 0.19/0.43  active_termbuf els 100000000 used 1814
% 0.19/0.43  varstack els 5000 last used 1
% 0.19/0.43  given_termbuf els 10000000 last used 1
% 0.19/0.43  simplified_termbuf els 10000000 last used 1
% 0.19/0.43  derived_termbuf els 10000000 last used 3
% 0.19/0.43  wr_mallocs: 3804
% 0.19/0.43  wr_callocs: 21
% 0.19/0.43  wr_reallocs: 151
% 0.19/0.43  wr_frees: 2
% 0.19/0.43  wr_malloc_bytes: 4162711988
% 0.19/0.43  wr_calloc_bytes: 112065536
% 0.19/0.43  wr_realloc_bytes: 25112
% 0.19/0.43  wr_realloc_freebytes: 0
% 0.19/0.43  ----------------------------------
%------------------------------------------------------------------------------