TSTP Solution File: LCL840-1 by SOS---2.0

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : SOS---2.0
% Problem  : LCL840-1 : TPTP v8.1.0. Released v4.1.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : sos-script %s

% Computer : n006.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 14:33:23 EDT 2022

% Result   : Timeout 300.03s 300.20s
% Output   : None 
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----No solution output by system
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.10/0.11  % Problem  : LCL840-1 : TPTP v8.1.0. Released v4.1.0.
% 0.10/0.12  % Command  : sos-script %s
% 0.12/0.33  % Computer : n006.cluster.edu
% 0.12/0.33  % Model    : x86_64 x86_64
% 0.12/0.33  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.12/0.33  % Memory   : 8042.1875MB
% 0.12/0.33  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.12/0.33  % CPULimit : 300
% 0.12/0.33  % WCLimit  : 600
% 0.12/0.33  % DateTime : Sun Jul  3 06:23:07 EDT 2022
% 0.12/0.33  % CPUTime  : 
% 0.12/0.35  ----- Otter 3.2, August 2001 -----
% 0.12/0.35  The process was started by sandbox on n006.cluster.edu,
% 0.12/0.35  Sun Jul  3 06:23:07 2022
% 0.12/0.35  The command was "./sos".  The process ID is 8323.
% 0.12/0.35  
% 0.12/0.35  set(prolog_style_variables).
% 0.12/0.35  set(auto).
% 0.12/0.35     dependent: set(auto1).
% 0.12/0.35     dependent: set(process_input).
% 0.12/0.35     dependent: clear(print_kept).
% 0.12/0.35     dependent: clear(print_new_demod).
% 0.12/0.35     dependent: clear(print_back_demod).
% 0.12/0.35     dependent: clear(print_back_sub).
% 0.12/0.35     dependent: set(control_memory).
% 0.12/0.35     dependent: assign(max_mem, 12000).
% 0.12/0.35     dependent: assign(pick_given_ratio, 4).
% 0.12/0.35     dependent: assign(stats_level, 1).
% 0.12/0.35     dependent: assign(pick_semantic_ratio, 3).
% 0.12/0.35     dependent: assign(sos_limit, 5000).
% 0.12/0.35     dependent: assign(max_weight, 60).
% 0.12/0.35  clear(print_given).
% 0.12/0.35  
% 0.12/0.35  list(usable).
% 0.12/0.35  
% 0.12/0.35  SCAN INPUT: prop=0, horn=0, equality=1, symmetry=0, max_lits=4.
% 0.12/0.35  
% 0.12/0.35  This ia a non-Horn set with equality.  The strategy will be
% 0.12/0.35  Knuth-Bendix, ordered hyper_res, ur_res, factoring, and
% 0.12/0.35  unit deletion, with positive clauses in sos and nonpositive
% 0.12/0.35  clauses in usable.
% 0.12/0.35  
% 0.12/0.35     dependent: set(knuth_bendix).
% 0.12/0.35     dependent: set(para_from).
% 0.12/0.35     dependent: set(para_into).
% 0.12/0.35     dependent: clear(para_from_right).
% 0.12/0.35     dependent: clear(para_into_right).
% 0.12/0.35     dependent: set(para_from_vars).
% 0.12/0.35     dependent: set(eq_units_both_ways).
% 0.12/0.35     dependent: set(dynamic_demod_all).
% 0.12/0.35     dependent: set(dynamic_demod).
% 0.12/0.35     dependent: set(order_eq).
% 0.12/0.35     dependent: set(back_demod).
% 0.12/0.35     dependent: set(lrpo).
% 0.12/0.35     dependent: set(hyper_res).
% 0.12/0.35     dependent: set(unit_deletion).
% 0.12/0.35     dependent: set(factor).
% 0.12/0.35  
% 0.12/0.35  ------------> process usable:
% 0.12/0.35    Following clause subsumed by 6 during input processing: 0 [] {-} -class_Orderings_Opreorder(A)| -c_HOL_Oord__class_Oless(B,C,A)| -c_HOL_Oord__class_Oless(C,B,A).
% 0.12/0.35    Following clause subsumed by 12 during input processing: 0 [] {-} -class_Orderings_Olinorder(A)|c_HOL_Oord__class_Oless(B,C,A)|C=B|c_HOL_Oord__class_Oless(C,B,A).
% 0.12/0.35    Following clause subsumed by 12 during input processing: 0 [] {-} -class_Orderings_Olinorder(A)|c_HOL_Oord__class_Oless(B,C,A)|c_HOL_Oord__class_Oless(C,B,A)|C=B.
% 0.12/0.35    Following clause subsumed by 12 during input processing: 0 [] {-} -class_Orderings_Olinorder(A)|B=C|c_HOL_Oord__class_Oless(C,B,A)|c_HOL_Oord__class_Oless(B,C,A).
% 0.12/0.35    Following clause subsumed by 17 during input processing: 0 [] {-} -c_HOL_Oord__class_Oless(A,A,tc_nat).
% 0.12/0.35    Following clause subsumed by 20 during input processing: 0 [] {-} -c_HOL_Oord__class_Oless(A,c_HOL_Ozero__class_Ozero(tc_nat),tc_nat).
% 0.12/0.35  17 back subsumes 9.
% 0.12/0.35    Following clause subsumed by 32 during input processing: 0 [copy,21,flip.1] {-} c_Lambda_OdB_OVar(A)!=c_Lambda_OdB_OApp(B,C).
% 0.12/0.35    Following clause subsumed by 41 during input processing: 0 [copy,30,flip.1] {-} c_Lambda_OdB_OAbs(A)!=c_Lambda_OdB_OVar(B).
% 0.12/0.35    Following clause subsumed by 21 during input processing: 0 [copy,32,flip.1] {-} c_Lambda_OdB_OApp(A,B)!=c_Lambda_OdB_OVar(C).
% 0.12/0.35    Following clause subsumed by 40 during input processing: 0 [copy,38,flip.1] {-} c_Lambda_OdB_OApp(A,B)!=c_Lambda_OdB_OAbs(C).
% 0.12/0.35    Following clause subsumed by 38 during input processing: 0 [copy,40,flip.1] {-} c_Lambda_OdB_OAbs(A)!=c_Lambda_OdB_OApp(B,C).
% 0.12/0.35    Following clause subsumed by 30 during input processing: 0 [copy,41,flip.1] {-} c_Lambda_OdB_OVar(A)!=c_Lambda_OdB_OAbs(B).
% 0.12/0.35  
% 0.12/0.35  ------------> process sos:
% 0.12/0.35    Following clause subsumed by 50 during input processing: 0 [] {-} c_HOL_Oord__class_Oless(A,B,tc_nat)|c_HOL_Oord__class_Oless(B,A,tc_nat)|B=A.
% 0.12/0.35    Following clause subsumed by 66 during input processing: 0 [] {-} c_InductTermi_OIT(v_u____).
% 0.12/0.35    Following clause subsumed by 63 during input processing: 0 [] {-} A=A.
% 0.12/0.35    Following clause subsumed by 63 during input processing: 0 [copy,63,flip.1] {-} A=A.
% 0.12/0.35  63 back subsumes 48.
% 0.12/0.35  63 back subsumes 47.
% 0.12/0.35  
% 0.12/0.35  ======= end of input processing =======
% 0.18/0.43  
% 0.18/0.43  
% 0.18/0.43  Failed to model usable list: disabling FINDER
% 0.18/0.43  
% 0.18/0.43  
% 0.18/0.43  
% 0.18/0.43  -------------- Softie stats --------------
% 0.18/0.43  
% 0.18/0.43  UPDATE_STOP: 300
% 0.18/0.43  SFINDER_TIME_LIMIT: 2
% 0.18/0.43  SHORT_CLAUSE_CUTOFF: 4
% 0.18/0.43  number of clauses in intial UL: 44
% 0.18/0.43  number of clauses initially in problem: 69
% 0.18/0.43  percentage of clauses intially in UL: 63
% 0.18/0.43  percentage of distinct symbols occuring in initial UL: 76
% 0.18/0.43  percent of all initial clauses that are short: 100
% 0.18/0.43  absolute distinct symbol count: 30
% 0.18/0.43     distinct predicate count: 12
% 0.18/0.43     distinct function count: 9
% 0.18/0.43     distinct constant count: 9
% 0.18/0.43  
% 0.18/0.43  ---------- no more Softie stats ----------
% 0.18/0.43  
% 0.18/0.43  
% 0.18/0.43  
% 0.18/0.43  =========== start of search ===========
% 1.51/1.74  
% 1.51/1.74  
% 1.51/1.74  Changing weight limit from 60 to 26.
% 1.51/1.74  
% 1.51/1.74  Resetting weight limit to 26 after 85 givens.
% 1.51/1.74  
% 1.90/2.09  
% 1.90/2.09  
% 1.90/2.09  Changing weight limit from 26 to 23.
% 1.90/2.09  
% 1.90/2.09  Resetting weight limit to 23 after 90 givens.
% 1.90/2.09  
% 2.03/2.29  
% 2.03/2.29  
% 2.03/2.29  Changing weight limit from 23 to 22.
% 2.03/2.29  
% 2.03/2.29  Resetting weight limit to 22 after 95 givens.
% 2.03/2.29  
% 2.24/2.47  
% 2.24/2.47  
% 2.24/2.47  Changing weight limit from 22 to 21.
% 2.24/2.47  
% 2.24/2.47  Resetting weight limit to 21 after 100 givens.
% 2.24/2.47  
% 2.40/2.64  
% 2.40/2.64  
% 2.40/2.64  Changing weight limit from 21 to 20.
% 2.40/2.64  
% 2.40/2.64  Resetting weight limit to 20 after 105 givens.
% 2.40/2.64  
% 2.63/2.84  
% 2.63/2.84  
% 2.63/2.84  Changing weight limit from 20 to 19.
% 2.63/2.84  
% 2.63/2.84  Resetting weight limit to 19 after 115 givens.
% 2.63/2.84  
% 2.92/3.13  
% 2.92/3.13  
% 2.92/3.13  Changing weight limit from 19 to 18.
% 2.92/3.13  
% 2.92/3.13  Resetting weight limit to 18 after 125 givens.
% 2.92/3.13  
% 3.51/3.70  
% 3.51/3.70  
% 3.51/3.70  Changing weight limit from 18 to 17.
% 3.51/3.70  
% 3.51/3.70  Resetting weight limit to 17 after 150 givens.
% 3.51/3.70  
% 3.99/4.26  
% 3.99/4.26  
% 3.99/4.26  Changing weight limit from 17 to 16.
% 3.99/4.26  
% 3.99/4.26  Resetting weight limit to 16 after 180 givens.
% 3.99/4.26  
% 4.42/4.62  
% 4.42/4.62  
% 4.42/4.62  Changing weight limit from 16 to 15.
% 4.42/4.62  
% 4.42/4.62  Resetting weight limit to 15 after 210 givens.
% 4.42/4.62  
% 4.75/4.99  
% 4.75/4.99  
% 4.75/4.99  Changing weight limit from 15 to 14.
% 4.75/4.99  
% 4.75/4.99  Resetting weight limit to 14 after 245 givens.
% 4.75/4.99  
% 5.20/5.41  
% 5.20/5.41  
% 5.20/5.41  Changing weight limit from 14 to 13.
% 5.20/5.41  
% 5.20/5.41  Modelling stopped after 300 given clauses and 0.00 seconds
% 5.20/5.41  
% 5.20/5.41  
% 5.20/5.41  Resetting weight limit to 13 after 300 givens.
% 5.20/5.41  
% 27.73/27.94  
% 27.73/27.94  
% 27.73/27.94  Changing weight limit from 13 to 14.
% 27.73/27.94  
% 27.73/27.94  Resetting weight limit to 14 after 7405 givens.
% 27.73/27.94  
% 27.73/27.94  
% 27.73/27.94  
% 27.73/27.94  Changing weight limit from 14 to 15.
% 27.73/27.94  
% 27.73/27.94  Resetting weight limit to 15 after 7410 givens.
% 27.73/27.94  
% 27.73/27.95  
% 27.73/27.95  
% 27.73/27.95  Changing weight limit from 15 to 16.
% 27.73/27.95  
% 27.73/27.95  Resetting weight limit to 16 after 7415 givens.
% 27.73/27.95  
% 27.73/27.96  
% 27.73/27.96  
% 27.73/27.96  Changing weight limit from 16 to 17.
% 27.73/27.96  
% 27.73/27.96  Resetting weight limit to 17 after 7420 givens.
% 27.73/27.96  
% 27.73/27.97  
% 27.73/27.97  
% 27.73/27.97  Changing weight limit from 17 to 18.
% 27.73/27.97  
% 27.73/27.97  Resetting weight limit to 18 after 7425 givens.
% 27.73/27.97  
% 31.82/32.01  
% 31.82/32.01  
% 31.82/32.01  Changing weight limit from 18 to 17.
% 31.82/32.01  
% 31.82/32.01  Resetting weight limit to 17 after 7740 givens.
% 31.82/32.01  
% 32.54/32.72  
% 32.54/32.72  
% 32.54/32.72  Changing weight limit from 17 to 16.
% 32.54/32.72  
% 32.54/32.72  Resetting weight limit to 16 after 7770 givens.
% 32.54/32.72  
% 33.93/34.14  
% 33.93/34.14  
% 33.93/34.14  Changing weight limit from 16 to 15.
% 33.93/34.14  
% 33.93/34.14  Resetting weight limit to 15 after 8005 givens.
% 33.93/34.14  
% 207.64/207.86  
% 207.64/207.86  
% 207.64/207.86  Changing weight limit from 15 to 16.
% 207.64/207.86  
% 207.64/207.86  Resetting weight limit to 16 after 22260 givens.
% 207.64/207.86  
% 300.03/300.20  Wow, sos-wrapper got a signal XCPU
%------------------------------------------------------------------------------