TSTP Solution File: SWW450-1 by SOS---2.0

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : SOS---2.0
% Problem  : SWW450-1 : TPTP v8.1.0. Released v5.2.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : sos-script %s

% Computer : n021.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 : Thu Jul 21 01:26:52 EDT 2022

% Result   : Timeout 289.04s 289.26s
% Output   : None 
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----No solution output by system
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.03/0.12  % Problem  : SWW450-1 : TPTP v8.1.0. Released v5.2.0.
% 0.03/0.12  % Command  : sos-script %s
% 0.12/0.33  % Computer : n021.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 : Sat Jun  4 16:28:03 EDT 2022
% 0.12/0.34  % CPUTime  : 
% 0.12/0.35  ----- Otter 3.2, August 2001 -----
% 0.12/0.35  The process was started by sandbox2 on n021.cluster.edu,
% 0.12/0.35  Sat Jun  4 16:28:03 2022
% 0.12/0.35  The command was "./sos".  The process ID is 23086.
% 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=3.
% 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  
% 0.12/0.35  ------------> process sos:
% 0.12/0.35    Following clause subsumed by 12 during input processing: 0 [copy,12,flip.1] {-} sep(A,sep(B,C))=sep(B,sep(A,C)).
% 0.12/0.35    Following clause subsumed by 16 during input processing: 0 [copy,16,flip.1] {-} A=A.
% 0.12/0.35  
% 0.12/0.35  ======= end of input processing =======
% 0.18/0.38  
% 0.18/0.38  Model 1 (0.00 seconds, 0 Inserts)
% 0.18/0.38  
% 0.18/0.38  Stopped by limit on number of solutions
% 0.18/0.38  
% 0.18/0.38  
% 0.18/0.38  -------------- Softie stats --------------
% 0.18/0.38  
% 0.18/0.38  UPDATE_STOP: 300
% 0.18/0.38  SFINDER_TIME_LIMIT: 2
% 0.18/0.38  SHORT_CLAUSE_CUTOFF: 4
% 0.18/0.38  number of clauses in intial UL: 11
% 0.18/0.38  number of clauses initially in problem: 16
% 0.18/0.38  percentage of clauses intially in UL: 68
% 0.18/0.38  percentage of distinct symbols occuring in initial UL: 83
% 0.18/0.38  percent of all initial clauses that are short: 100
% 0.18/0.38  absolute distinct symbol count: 18
% 0.18/0.38     distinct predicate count: 2
% 0.18/0.38     distinct function count: 3
% 0.18/0.38     distinct constant count: 13
% 0.18/0.38  
% 0.18/0.38  ---------- no more Softie stats ----------
% 0.18/0.38  
% 0.18/0.38  
% 0.18/0.38  
% 0.18/0.38  =========== start of search ===========
% 25.93/26.12  
% 25.93/26.12  
% 25.93/26.12  Changing weight limit from 60 to 58.
% 25.93/26.12  
% 25.93/26.12  Model 2 (0.00 seconds, 0 Inserts)
% 25.93/26.12  
% 25.93/26.12  Stopped by limit on number of solutions
% 25.93/26.12  
% 25.93/26.12  Resetting weight limit to 58 after 105 givens.
% 25.93/26.12  
% 30.36/30.57  
% 30.36/30.57  
% 30.36/30.57  Changing weight limit from 58 to 56.
% 30.36/30.57  
% 30.36/30.57  Resetting weight limit to 56 after 120 givens.
% 30.36/30.57  
% 32.25/32.49  
% 32.25/32.49  
% 32.25/32.49  Changing weight limit from 56 to 52.
% 32.25/32.49  
% 32.25/32.49  Resetting weight limit to 52 after 125 givens.
% 32.25/32.49  
% 40.37/40.56  
% 40.37/40.56  
% 40.37/40.56  Changing weight limit from 52 to 48.
% 40.37/40.56  
% 40.37/40.56  Resetting weight limit to 48 after 140 givens.
% 40.37/40.56  
% 42.30/42.49  
% 42.30/42.49  
% 42.30/42.49  Changing weight limit from 48 to 46.
% 42.30/42.49  
% 42.30/42.49  Resetting weight limit to 46 after 145 givens.
% 42.30/42.49  
% 45.05/45.25  
% 45.05/45.25  
% 45.05/45.25  Changing weight limit from 46 to 44.
% 45.05/45.25  
% 45.05/45.25  Resetting weight limit to 44 after 155 givens.
% 45.05/45.25  
% 47.28/47.47  
% 47.28/47.47  
% 47.28/47.47  Changing weight limit from 44 to 42.
% 47.28/47.47  
% 47.28/47.47  Resetting weight limit to 42 after 160 givens.
% 47.28/47.47  
% 48.28/48.47  
% 48.28/48.47  
% 48.28/48.47  Changing weight limit from 42 to 40.
% 48.28/48.47  
% 48.28/48.47  Resetting weight limit to 40 after 170 givens.
% 48.28/48.47  
% 54.03/54.25  
% 54.03/54.25  
% 54.03/54.25  Changing weight limit from 40 to 38.
% 54.03/54.25  
% 54.03/54.25  Resetting weight limit to 38 after 185 givens.
% 54.03/54.25  
% 60.57/60.82  
% 60.57/60.82  
% 60.57/60.82  Changing weight limit from 38 to 36.
% 60.57/60.82  
% 60.57/60.82  Resetting weight limit to 36 after 205 givens.
% 60.57/60.82  
% 65.63/65.82  
% 65.63/65.82  
% 65.63/65.82  Changing weight limit from 36 to 30.
% 65.63/65.82  
% 65.63/65.82  Resetting weight limit to 30 after 220 givens.
% 65.63/65.82  
% 71.71/71.89  
% 71.71/71.89  
% 71.71/71.89  Changing weight limit from 30 to 28.
% 71.71/71.89  
% 71.71/71.89  Resetting weight limit to 28 after 235 givens.
% 71.71/71.89  
% 76.61/76.81  
% 76.61/76.81  
% 76.61/76.81  Changing weight limit from 28 to 26.
% 76.61/76.81  
% 76.61/76.81  Resetting weight limit to 26 after 270 givens.
% 76.61/76.81  
% 81.11/81.32  
% 81.11/81.32  
% 81.11/81.32  Changing weight limit from 26 to 24.
% 81.11/81.32  
% 81.11/81.32  Resetting weight limit to 24 after 365 givens.
% 81.11/81.32  
% 85.68/85.90  
% 85.68/85.90  
% 85.68/85.90  Changing weight limit from 24 to 22.
% 85.68/85.90  
% 85.68/85.90  Modelling stopped after 300 given clauses and 0.00 seconds
% 85.68/85.90  
% 85.68/85.90  
% 85.68/85.90  Resetting weight limit to 22 after 645 givens.
% 85.68/85.90  
% 103.20/103.38  
% 103.20/103.38  
% 103.20/103.38  Changing weight limit from 22 to 20.
% 103.20/103.38  
% 103.20/103.38  Resetting weight limit to 20 after 1345 givens.
% 103.20/103.38  
% 271.06/271.27  
% 271.06/271.27  
% 271.06/271.27  Changing weight limit from 20 to 21.
% 271.06/271.27  
% 271.06/271.27  Resetting weight limit to 21 after 10565 givens.
% 271.06/271.27  
% 271.16/271.35  
% 271.16/271.35  
% 271.16/271.35  Changing weight limit from 21 to 20.
% 271.16/271.35  
% 271.16/271.35  Resetting weight limit to 20 after 10570 givens.
% 271.16/271.35  
% 289.04/289.26  
% 289.04/289.26  
% 289.04/289.26  Changing weight limit from 20 to 21.
% 289.04/289.26  
% 289.04/289.26  Resetting weight limit to 21 after 11185 givens.
% 289.04/289.26  
% 289.14/289.34  
% 289.14/289.34  
% 289.14/289.34  Changing weight limit from 21 to 20.
% 289.14/289.34  
% 289.14/289.34  Resetting weight limit to 20 after 11190 givens.
% 289.14/289.34  
% 289.34/289.59  
% 289.34/289.59  
% 289.34/289.59  Changing weight limit from 20 to 21.
% 289.34/289.59  
% 289.34/289.59  Resetting weight limit to 21 after 11205 givens.
% 289.34/289.59  
% 289.49/289.69  
% 289.49/289.69  
% 289.49/289.69  Changing weight limit from 21 to 20.
% 289.49/289.69  
% 289.49/289.69  Resetting weight limit to 20 after 11210 givens.
% 289.49/289.69  
% 300.05/300.25  Wow, sos-wrapper got a signal XCPU
%------------------------------------------------------------------------------