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SOS---2.0.UNS-Ref.s

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%------------------------------------------------------------------------------
% File     : SOS---2.0
% Problem  : MGT047-1 : TPTP v8.1.0. Released v2.4.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : sos-script %s

% Computer : n019.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  : 600s
% DateTime : Sun Jul 17 22:26:01 EDT 2022

% Result   : Unsatisfiable 20.25s 20.46s
% Output   : Refutation 20.25s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.08/0.13  % Problem  : MGT047-1 : TPTP v8.1.0. Released v2.4.0.
% 0.08/0.14  % Command  : sos-script %s
% 0.13/0.35  % Computer : n019.cluster.edu
% 0.13/0.35  % Model    : x86_64 x86_64
% 0.13/0.35  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.35  % Memory   : 8042.1875MB
% 0.13/0.35  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.13/0.35  % CPULimit : 300
% 0.13/0.35  % WCLimit  : 600
% 0.13/0.35  % DateTime : Thu Jun  9 11:39:40 EDT 2022
% 0.13/0.35  % CPUTime  : 
% 0.13/0.38  ----- Otter 3.2, August 2001 -----
% 0.13/0.38  The process was started by sandbox on n019.cluster.edu,
% 0.13/0.38  Thu Jun  9 11:39:40 2022
% 0.13/0.38  The command was "./sos".  The process ID is 4595.
% 0.13/0.38  
% 0.13/0.38  set(prolog_style_variables).
% 0.13/0.38  set(auto).
% 0.13/0.38     dependent: set(auto1).
% 0.13/0.38     dependent: set(process_input).
% 0.13/0.38     dependent: clear(print_kept).
% 0.13/0.38     dependent: clear(print_new_demod).
% 0.13/0.38     dependent: clear(print_back_demod).
% 0.13/0.38     dependent: clear(print_back_sub).
% 0.13/0.38     dependent: set(control_memory).
% 0.13/0.38     dependent: assign(max_mem, 12000).
% 0.13/0.38     dependent: assign(pick_given_ratio, 4).
% 0.13/0.38     dependent: assign(stats_level, 1).
% 0.13/0.38     dependent: assign(pick_semantic_ratio, 3).
% 0.13/0.38     dependent: assign(sos_limit, 5000).
% 0.13/0.38     dependent: assign(max_weight, 60).
% 0.13/0.38  clear(print_given).
% 0.13/0.38  
% 0.13/0.38  list(usable).
% 0.13/0.38  
% 0.13/0.38  SCAN INPUT: prop=0, horn=0, equality=1, symmetry=0, max_lits=6.
% 0.13/0.38  
% 0.13/0.38  This ia a non-Horn set with equality.  The strategy will be
% 0.13/0.38  Knuth-Bendix, ordered hyper_res, ur_res, factoring, and
% 0.13/0.38  unit deletion, with positive clauses in sos and nonpositive
% 0.13/0.38  clauses in usable.
% 0.13/0.38  
% 0.13/0.38     dependent: set(knuth_bendix).
% 0.13/0.38     dependent: set(para_from).
% 0.13/0.38     dependent: set(para_into).
% 0.13/0.38     dependent: clear(para_from_right).
% 0.13/0.38     dependent: clear(para_into_right).
% 0.13/0.38     dependent: set(para_from_vars).
% 0.13/0.38     dependent: set(eq_units_both_ways).
% 0.13/0.38     dependent: set(dynamic_demod_all).
% 0.13/0.38     dependent: set(dynamic_demod).
% 0.13/0.38     dependent: set(order_eq).
% 0.13/0.38     dependent: set(back_demod).
% 0.13/0.38     dependent: set(lrpo).
% 0.13/0.38     dependent: set(hyper_res).
% 0.13/0.38     dependent: set(unit_deletion).
% 0.13/0.38     dependent: set(factor).
% 0.13/0.38  
% 0.13/0.38  ------------> process usable:
% 0.13/0.38  
% 0.13/0.38  ------------> process sos:
% 0.13/0.38    Following clause subsumed by 41 during input processing: 0 [copy,41,flip.1] {-} A=A.
% 0.13/0.38  41 back subsumes 33.
% 0.13/0.38  41 back subsumes 32.
% 0.13/0.38  
% 0.13/0.38  ======= end of input processing =======
% 0.21/0.50  
% 0.21/0.50  Model 1 (0.00 seconds, 0 Inserts)
% 0.21/0.50  
% 0.21/0.50  Stopped by limit on number of solutions
% 0.21/0.50  
% 0.21/0.50  
% 0.21/0.50  -------------- Softie stats --------------
% 0.21/0.50  
% 0.21/0.50  UPDATE_STOP: 300
% 0.21/0.50  SFINDER_TIME_LIMIT: 2
% 0.21/0.50  SHORT_CLAUSE_CUTOFF: 4
% 0.21/0.50  number of clauses in intial UL: 31
% 0.21/0.50  number of clauses initially in problem: 39
% 0.21/0.50  percentage of clauses intially in UL: 79
% 0.21/0.50  percentage of distinct symbols occuring in initial UL: 100
% 0.21/0.50  percent of all initial clauses that are short: 100
% 0.21/0.50  absolute distinct symbol count: 22
% 0.21/0.50     distinct predicate count: 8
% 0.21/0.50     distinct function count: 8
% 0.21/0.50     distinct constant count: 6
% 0.21/0.50  
% 0.21/0.50  ---------- no more Softie stats ----------
% 0.21/0.50  
% 0.21/0.50  
% 0.21/0.50  
% 0.21/0.50  =========== start of search ===========
% 4.26/4.48  
% 4.26/4.48  
% 4.26/4.48  Changing weight limit from 60 to 42.
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Model 2 (0.00 seconds, 0 Inserts)
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on number of solutions
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Stopped by limit on insertions
% 4.26/4.48  
% 4.26/4.48  Resetting weight limit to 42 after 85 givens.
% 4.26/4.48  
% 4.69/4.95  
% 4.69/4.95  
% 4.69/4.95  Changing weight limit from 42 to 37.
% 4.69/4.95  
% 4.69/4.95  Resetting weight limit to 37 after 90 givens.
% 4.69/4.95  
% 6.04/6.29  
% 6.04/6.29  
% 6.04/6.29  Changing weight limit from 37 to 35.
% 6.04/6.29  
% 6.04/6.29  Resetting weight limit to 35 after 100 givens.
% 6.04/6.29  
% 8.66/8.85  
% 8.66/8.85  
% 8.66/8.85  Changing weight limit from 35 to 25.
% 8.66/8.85  
% 8.66/8.85  Stopped by limit on insertions
% 8.66/8.85  
% 8.66/8.85  Stopped by limit on insertions
% 8.66/8.85  
% 8.66/8.85  Stopped by limit on insertions
% 8.66/8.85  
% 8.66/8.85  Stopped by limit on insertions
% 8.66/8.85  
% 8.66/8.85  Model 3 [ 2 0 2904 ] (0.00 seconds, 250000 Inserts)
% 8.66/8.85  
% 8.66/8.85  Stopped by limit on insertions
% 8.66/8.85  
% 8.66/8.85  Stopped by limit on insertions
% 8.66/8.85  
% 8.66/8.85  Stopped by limit on insertions
% 8.66/8.85  
% 8.66/8.85  Resetting weight limit to 25 after 130 givens.
% 8.66/8.85  
% 10.71/10.92  
% 10.71/10.92  
% 10.71/10.92  Changing weight limit from 25 to 20.
% 10.71/10.92  
% 10.71/10.92  Stopped by limit on insertions
% 10.71/10.92  
% 10.71/10.92  Resetting weight limit to 20 after 235 givens.
% 10.71/10.92  
% 10.84/11.03  
% 10.84/11.03  
% 10.84/11.03  Changing weight limit from 20 to 19.
% 10.84/11.03  
% 10.84/11.03  Resetting weight limit to 19 after 240 givens.
% 10.84/11.03  
% 11.34/11.58  
% 11.34/11.58  
% 11.34/11.58  Changing weight limit from 19 to 18.
% 11.34/11.58  
% 11.34/11.58  Resetting weight limit to 18 after 260 givens.
% 11.34/11.58  
% 11.55/11.74  
% 11.55/11.74  
% 11.55/11.74  Changing weight limit from 18 to 17.
% 11.55/11.74  
% 11.55/11.74  Resetting weight limit to 17 after 265 givens.
% 11.55/11.74  
% 14.71/14.95  
% 14.71/14.95  
% 14.71/14.95  Changing weight limit from 17 to 16.
% 14.71/14.95  
% 14.71/14.95  Modelling stopped after 300 given clauses and 0.00 seconds
% 14.71/14.95  
% 14.71/14.95  
% 14.71/14.95  Resetting weight limit to 16 after 740 givens.
% 14.71/14.95  
% 20.25/20.46  
% 20.25/20.46  -- HEY sandbox, WE HAVE A PROOF!! -- 
% 20.25/20.46  
% 20.25/20.46  -----> EMPTY CLAUSE at  19.95 sec ----> 29320 [hyper,29283,28623,41] {-} $F.
% 20.25/20.46  
% 20.25/20.46  WARNING, clause 11912 not found, proof is incomplete.
% 20.25/20.46  Length of proof is 44.  Level of proof is 16.
% 20.25/20.46  
% 20.25/20.46  ---------------- PROOF ----------------
% 20.25/20.46  % SZS status Unsatisfiable
% 20.25/20.46  % SZS output start Refutation
% 20.25/20.46  
% 20.25/20.46  1 [] {+} -smaller_or_equal(A,B)|smaller(A,B)|A=B.
% 20.25/20.46  2 [] {+} -smaller(A,B)|smaller_or_equal(A,B).
% 20.25/20.46  3 [] {+} A!=B|smaller_or_equal(A,B).
% 20.25/20.46  5 [] {+} -greater(A,B)|greater_or_equal(A,B).
% 20.25/20.46  7 [] {+} -smaller(A,B)|greater(B,A).
% 20.25/20.46  8 [] {+} -greater(A,B)|smaller(B,A).
% 20.25/20.46  9 [] {+} -greater(A,B)| -greater(B,A).
% 20.25/20.46  10 [] {+} -greater(A,B)| -greater(B,C)|greater(A,C).
% 20.25/20.46  12 [] {+} -has_endowment(A)| -smaller_or_equal(age(A,B),eta)|has_immunity(A,B).
% 20.25/20.46  13 [] {+} -has_endowment(A)| -greater(age(A,B),eta)| -has_immunity(A,B).
% 20.25/20.46  17 [] {+} -organization(A)| -has_immunity(A,B)| -has_immunity(A,C)|hazard_of_mortality(A,B)=hazard_of_mortality(A,C).
% 20.25/20.46  18 [] {+} -organization(A)| -has_immunity(A,B)|has_immunity(A,C)|greater(hazard_of_mortality(A,C),hazard_of_mortality(A,B)).
% 20.25/20.46  20 [] {+} -organization(A)|has_immunity(A,B)|has_immunity(A,C)| -greater_or_equal(capability(A,C),capability(A,B))| -greater(position(A,C),position(A,B))|smaller(hazard_of_mortality(A,C),hazard_of_mortality(A,B)).
% 20.25/20.46  22 [] {+} -organization(A)| -greater(stock_of_knowledge(A,B),stock_of_knowledge(A,C))| -smaller_or_equal(internal_friction(A,B),internal_friction(A,C))|greater(capability(A,B),capability(A,C)).
% 20.25/20.46  25 [] {+} -organization(A)| -greater(external_ties(A,B),external_ties(A,C))|greater(position(A,B),position(A,C)).
% 20.25/20.46  27 [] {+} -organization(A)| -greater(age(A,B),age(A,C))|greater(stock_of_knowledge(A,B),stock_of_knowledge(A,C)).
% 20.25/20.46  28 [] {+} -organization(A)| -greater(age(A,B),age(A,C))|greater(external_ties(A,B),external_ties(A,C)).
% 20.25/20.46  29 [] {+} -organization(A)|internal_friction(A,B)=internal_friction(A,C).
% 20.25/20.46  30 [] {+} -greater(hazard_of_mortality(sk2,sk5),hazard_of_mortality(sk2,sk6))| -greater(hazard_of_mortality(sk2,sk6),hazard_of_mortality(sk2,sk4))|hazard_of_mortality(sk2,sk4)!=hazard_of_mortality(sk2,sk3).
% 20.25/20.46  31 [factor,9.1.2] {+} -greater(A,A).
% 20.25/20.46  34 [] {+} smaller(A,B)|A=B|greater(A,B).
% 20.25/20.46  35 [] {+} organization(sk2).
% 20.25/20.46  36 [] {-} has_endowment(sk2).
% 20.25/20.46  37 [] {-} smaller_or_equal(age(sk2,sk3),age(sk2,sk4)).
% 20.25/20.46  38 [] {-} smaller_or_equal(age(sk2,sk4),eta).
% 20.25/20.46  39 [] {+} greater(age(sk2,sk5),eta).
% 20.25/20.46  40 [] {-} greater(age(sk2,sk6),age(sk2,sk5)).
% 20.25/20.46  41 [] {+} A=A.
% 20.25/20.46  42 [hyper,34,7] {+} A=B|greater(A,B)|greater(B,A).
% 20.25/20.46  131 [hyper,38,12,36] {-} has_immunity(sk2,sk4).
% 20.25/20.46  151 [hyper,35,29] {+} internal_friction(sk2,A)=internal_friction(sk2,B).
% 20.25/20.46  152 [hyper,35,18,131] {+} has_immunity(sk2,A)|greater(hazard_of_mortality(sk2,A),hazard_of_mortality(sk2,sk4)).
% 20.25/20.46  156 [hyper,37,1,flip.2] {+} smaller(age(sk2,sk3),age(sk2,sk4))|age(sk2,sk4)=age(sk2,sk3).
% 20.25/20.46  175 [hyper,40,28,35] {-} greater(external_ties(sk2,sk6),external_ties(sk2,sk5)).
% 20.25/20.46  176 [hyper,40,27,35] {-} greater(stock_of_knowledge(sk2,sk6),stock_of_knowledge(sk2,sk5)).
% 20.25/20.46  197 [hyper,175,25,35] {-} greater(position(sk2,sk6),position(sk2,sk5)).
% 20.25/20.46  240 [hyper,39,10,40] {-} greater(age(sk2,sk6),eta).
% 20.25/20.46  318 [hyper,42,13,36,131] {-} age(sk2,sk4)=eta|greater(eta,age(sk2,sk4)).
% 20.25/20.46  368 [para_from,42.1.1,131.1.2] {-} has_immunity(sk2,A)|greater(sk4,A)|greater(A,sk4).
% 20.25/20.46  369 [para_from,42.1.1,38.1.1.2] {-} smaller_or_equal(age(sk2,A),eta)|greater(sk4,A)|greater(A,sk4).
% 20.25/20.46  375 [para_from,42.1.1,197.1.1.2] {-} greater(position(sk2,A),position(sk2,sk5))|greater(sk6,A)|greater(A,sk6).
% 20.25/20.46  409 [para_from,42.1.1,36.1.1] {-} has_endowment(A)|greater(sk2,A)|greater(A,sk2).
% 20.25/20.46  410 [para_from,42.1.1,35.1.1] {+} organization(A)|greater(sk2,A)|greater(A,sk2).
% 20.25/20.46  721 [para_into,240.1.2,42.1.1] {-} greater(age(sk2,sk6),A)|greater(eta,A)|greater(A,eta).
% 20.25/20.46  2219 [hyper,151,3] {+} smaller_or_equal(internal_friction(sk2,A),internal_friction(sk2,B)).
% 20.25/20.46  2734 [hyper,368,17,35,131] {+} greater(sk4,A)|greater(A,sk4)|hazard_of_mortality(sk2,sk4)=hazard_of_mortality(sk2,A).
% 20.25/20.46  7029 [hyper,2219,22,35,176] {-} greater(capability(sk2,sk6),capability(sk2,sk5)).
% 20.25/20.46  7070 [hyper,7029,5] {-} greater_or_equal(capability(sk2,sk6),capability(sk2,sk5)).
% 20.25/20.46  7442 [para_from,318.1.1,37.1.2] {-} smaller_or_equal(age(sk2,sk3),eta)|greater(eta,age(sk2,sk4)).
% 20.25/20.46  7915 [hyper,7442,12,409,unit_del,31,31] {+} greater(eta,age(sk2,sk4))|has_immunity(sk2,sk3).
% 20.25/20.46  9705 [hyper,721,10,721,unit_del,31,31,factor_simp] {-} greater(age(sk2,sk6),A)|greater(A,eta).
% 20.25/20.46  10531 [hyper,152,13,409,9705,unit_del,31,31,31] {-} greater(hazard_of_mortality(sk2,sk6),hazard_of_mortality(sk2,sk4)).
% 20.25/20.46  10534 [hyper,152,13,409,39,unit_del,31,31] {+} greater(hazard_of_mortality(sk2,sk5),hazard_of_mortality(sk2,sk4)).
% 20.25/20.46  10898 [para_from,156.2.1,369.1.1,unit_del,31,31] {-} smaller_or_equal(age(sk2,sk3),eta)|smaller(age(sk2,sk3),age(sk2,sk4)).
% 20.25/20.46  11947 [factor,11912.1.3,unit_del,31,31] {-} -has_immunity(sk2,sk6).
% 20.25/20.46  12030 [para_into,10534.1.2,17.4.1,unit_del,35,131] {+} greater(hazard_of_mortality(sk2,sk5),hazard_of_mortality(sk2,A))| -has_immunity(sk2,A).
% 20.25/20.46  15735 [hyper,10898,12,409,unit_del,31,31] {+} smaller(age(sk2,sk3),age(sk2,sk4))|has_immunity(sk2,sk3).
% 20.25/20.46  18174 [para_into,12030.1.1,17.4.1,unit_del,35] {-} greater(hazard_of_mortality(sk2,A),hazard_of_mortality(sk2,B))| -has_immunity(sk2,B)| -has_immunity(sk2,sk5)| -has_immunity(sk2,A).
% 20.25/20.46  18194 [factor,18174.2.4,unit_del,31,factor_simp] {+} -has_immunity(sk2,sk5).
% 20.25/20.46  19485 [hyper,375,20,410,7070,unit_del,31,31,18194,11947,31,31] {+} smaller(hazard_of_mortality(sk2,sk6),hazard_of_mortality(sk2,sk5)).
% 20.25/20.46  20098 [hyper,19485,7] {+} greater(hazard_of_mortality(sk2,sk5),hazard_of_mortality(sk2,sk6)).
% 20.25/20.46  27324 [hyper,15735,7] {+} has_immunity(sk2,sk3)|greater(age(sk2,sk4),age(sk2,sk3)).
% 20.25/20.46  28593 [para_from,2734.3.1,30.3.1,unit_del,20098,10531] {-} hazard_of_mortality(sk2,A)!=hazard_of_mortality(sk2,sk3)|greater(sk4,A)|greater(A,sk4).
% 20.25/20.46  28597 [factor,28593.2.3,unit_del,31] {-} hazard_of_mortality(sk2,sk4)!=hazard_of_mortality(sk2,sk3).
% 20.25/20.46  28623 [para_into,28597.1.1,17.4.1,unit_del,35,131] {-} hazard_of_mortality(sk2,A)!=hazard_of_mortality(sk2,sk3)| -has_immunity(sk2,A).
% 20.25/20.46  28626 [hyper,28623,41,27324] {-} greater(age(sk2,sk4),age(sk2,sk3)).
% 20.25/20.46  28629 [hyper,28623,41,7915] {-} greater(eta,age(sk2,sk4)).
% 20.25/20.46  28865 [hyper,28626,10,28629] {-} greater(eta,age(sk2,sk3)).
% 20.25/20.46  29063 [hyper,28865,8] {-} smaller(age(sk2,sk3),eta).
% 20.25/20.46  29101 [hyper,29063,2] {-} smaller_or_equal(age(sk2,sk3),eta).
% 20.25/20.46  29283 [hyper,29101,12,409,unit_del,31,31] {+} has_immunity(sk2,sk3).
% 20.25/20.46  29320 [hyper,29283,28623,41] {-} $F.
% 20.25/20.46  
% 20.25/20.46  % SZS output end Refutation
% 20.25/20.46  ------------ end of proof -------------
% 20.25/20.46  
% 20.25/20.46  
% 20.25/20.46  Search stopped by max_proofs option.
% 20.25/20.46  
% 20.25/20.46  
% 20.25/20.46  Search stopped by max_proofs option.
% 20.25/20.46  
% 20.25/20.46  ============ end of search ============
% 20.25/20.46  
% 20.25/20.46  ----------- soft-scott stats ----------
% 20.25/20.46  
% 20.25/20.46  true clauses given         763      (31.7%)
% 20.25/20.46  false clauses given       1646
% 20.25/20.46  
% 20.25/20.46        FALSE     TRUE
% 20.25/20.46     5  0         1
% 20.25/20.46     6  0         2
% 20.25/20.46     7  11        1
% 20.25/20.46     9  0         1
% 20.25/20.46    10  3         2
% 20.25/20.46    11  113       166
% 20.25/20.46    12  12        1534
% 20.25/20.46    13  466       558
% 20.25/20.46    14  262       82
% 20.25/20.46    15  694       69
% 20.25/20.46    16  216       108
% 20.25/20.46  tot:  1777      2524      (58.7% true)
% 20.25/20.46  
% 20.25/20.46  
% 20.25/20.46  Model 3 [ 2 -305 2904 ] (0.00 seconds, 250000 Inserts)
% 20.25/20.46  
% 20.25/20.46  That finishes the proof of the theorem.
% 20.25/20.46  
% 20.25/20.46  Process 4595 finished Thu Jun  9 11:40:00 2022
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