TSTP Solution File: SWV391+1 by SOS---2.0

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : SOS---2.0
% Problem  : SWV391+1 : TPTP v8.1.0. Released v3.3.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : sos-script %s

% Computer : n022.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 : Wed Jul 20 21:38:18 EDT 2022

% Result   : Unknown 163.70s 163.94s
% Output   : None 
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----No solution output by system
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.11/0.12  % Problem  : SWV391+1 : TPTP v8.1.0. Released v3.3.0.
% 0.11/0.13  % Command  : sos-script %s
% 0.12/0.34  % Computer : n022.cluster.edu
% 0.12/0.34  % Model    : x86_64 x86_64
% 0.12/0.34  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.12/0.34  % Memory   : 8042.1875MB
% 0.12/0.34  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.12/0.34  % CPULimit : 300
% 0.12/0.34  % WCLimit  : 600
% 0.12/0.34  % DateTime : Wed Jun 15 17:56:32 EDT 2022
% 0.12/0.34  % CPUTime  : 
% 0.12/0.36  ----- Otter 3.2, August 2001 -----
% 0.12/0.36  The process was started by sandbox2 on n022.cluster.edu,
% 0.12/0.36  Wed Jun 15 17:56:32 2022
% 0.12/0.36  The command was "./sos".  The process ID is 5751.
% 0.12/0.36  
% 0.12/0.36  set(prolog_style_variables).
% 0.12/0.36  set(auto).
% 0.12/0.36     dependent: set(auto1).
% 0.12/0.36     dependent: set(process_input).
% 0.12/0.36     dependent: clear(print_kept).
% 0.12/0.36     dependent: clear(print_new_demod).
% 0.12/0.36     dependent: clear(print_back_demod).
% 0.12/0.36     dependent: clear(print_back_sub).
% 0.12/0.36     dependent: set(control_memory).
% 0.12/0.36     dependent: assign(max_mem, 12000).
% 0.12/0.36     dependent: assign(pick_given_ratio, 4).
% 0.12/0.36     dependent: assign(stats_level, 1).
% 0.12/0.36     dependent: assign(pick_semantic_ratio, 3).
% 0.12/0.36     dependent: assign(sos_limit, 5000).
% 0.12/0.36     dependent: assign(max_weight, 60).
% 0.12/0.36  clear(print_given).
% 0.12/0.36  
% 0.12/0.36  formula_list(usable).
% 0.12/0.36  
% 0.12/0.36  SCAN INPUT: prop=0, horn=0, equality=1, symmetry=0, max_lits=4.
% 0.12/0.36  
% 0.12/0.36  This ia a non-Horn set with equality.  The strategy will be
% 0.12/0.36  Knuth-Bendix, ordered hyper_res, ur_res, factoring, and
% 0.12/0.36  unit deletion, with positive clauses in sos and nonpositive
% 0.12/0.36  clauses in usable.
% 0.12/0.36  
% 0.12/0.36     dependent: set(knuth_bendix).
% 0.12/0.36     dependent: set(para_from).
% 0.12/0.36     dependent: set(para_into).
% 0.12/0.36     dependent: clear(para_from_right).
% 0.12/0.36     dependent: clear(para_into_right).
% 0.12/0.36     dependent: set(para_from_vars).
% 0.12/0.36     dependent: set(eq_units_both_ways).
% 0.12/0.36     dependent: set(dynamic_demod_all).
% 0.12/0.36     dependent: set(dynamic_demod).
% 0.12/0.36     dependent: set(order_eq).
% 0.12/0.36     dependent: set(back_demod).
% 0.12/0.36     dependent: set(lrpo).
% 0.12/0.36     dependent: set(hyper_res).
% 0.12/0.36     dependent: set(unit_deletion).
% 0.12/0.36     dependent: set(factor).
% 0.12/0.36  
% 0.12/0.36  ------------> process usable:
% 0.12/0.36  
% 0.12/0.36  ------------> process sos:
% 0.12/0.36    Following clause subsumed by 70 during input processing: 0 [copy,70,flip.1] {-} A=A.
% 0.12/0.36    Following clause subsumed by 55 during input processing: 0 [copy,71,flip.1] {-} insert_cpq(triple(A,B,C),D)=triple(insert_pqp(A,D),insert_slb(B,pair(D,bottom)),C).
% 0.12/0.36  
% 0.12/0.36  ======= end of input processing =======
% 0.19/0.52  
% 0.19/0.52  
% 0.19/0.52  Failed to model usable list: disabling FINDER
% 0.19/0.52  
% 0.19/0.52  
% 0.19/0.52  
% 0.19/0.52  -------------- Softie stats --------------
% 0.19/0.52  
% 0.19/0.52  UPDATE_STOP: 300
% 0.19/0.52  SFINDER_TIME_LIMIT: 2
% 0.19/0.52  SHORT_CLAUSE_CUTOFF: 4
% 0.19/0.52  number of clauses in intial UL: 38
% 0.19/0.52  number of clauses initially in problem: 69
% 0.19/0.52  percentage of clauses intially in UL: 55
% 0.19/0.52  percentage of distinct symbols occuring in initial UL: 82
% 0.19/0.52  percent of all initial clauses that are short: 100
% 0.19/0.52  absolute distinct symbol count: 34
% 0.19/0.52     distinct predicate count: 10
% 0.19/0.52     distinct function count: 17
% 0.19/0.52     distinct constant count: 7
% 0.19/0.52  
% 0.19/0.52  ---------- no more Softie stats ----------
% 0.19/0.52  
% 0.19/0.52  
% 0.19/0.52  
% 0.19/0.52  =========== start of search ===========
% 1.13/1.37  
% 1.13/1.37  
% 1.13/1.37  Changing weight limit from 60 to 47.
% 1.13/1.37  
% 1.13/1.37  Resetting weight limit to 47 after 130 givens.
% 1.13/1.37  
% 1.33/1.53  
% 1.33/1.53  
% 1.33/1.53  Changing weight limit from 47 to 42.
% 1.33/1.53  
% 1.33/1.53  Resetting weight limit to 42 after 135 givens.
% 1.33/1.53  
% 1.51/1.70  
% 1.51/1.70  
% 1.51/1.70  Changing weight limit from 42 to 39.
% 1.51/1.70  
% 1.51/1.70  Resetting weight limit to 39 after 140 givens.
% 1.51/1.70  
% 1.63/1.82  
% 1.63/1.82  
% 1.63/1.82  Changing weight limit from 39 to 38.
% 1.63/1.82  
% 1.63/1.82  Resetting weight limit to 38 after 145 givens.
% 1.63/1.82  
% 1.71/1.97  
% 1.71/1.97  
% 1.71/1.97  Changing weight limit from 38 to 35.
% 1.71/1.97  
% 1.71/1.97  Resetting weight limit to 35 after 150 givens.
% 1.71/1.97  
% 1.91/2.10  
% 1.91/2.10  
% 1.91/2.10  Changing weight limit from 35 to 33.
% 1.91/2.10  
% 1.91/2.10  Resetting weight limit to 33 after 155 givens.
% 1.91/2.10  
% 1.93/2.18  
% 1.93/2.18  
% 1.93/2.18  Changing weight limit from 33 to 32.
% 1.93/2.18  
% 1.93/2.18  Resetting weight limit to 32 after 160 givens.
% 1.93/2.18  
% 2.03/2.29  
% 2.03/2.29  
% 2.03/2.29  Changing weight limit from 32 to 31.
% 2.03/2.29  
% 2.03/2.29  Resetting weight limit to 31 after 165 givens.
% 2.03/2.29  
% 2.22/2.42  
% 2.22/2.42  
% 2.22/2.42  Changing weight limit from 31 to 30.
% 2.22/2.42  
% 2.22/2.42  Resetting weight limit to 30 after 170 givens.
% 2.22/2.42  
% 2.32/2.54  
% 2.32/2.54  
% 2.32/2.54  Changing weight limit from 30 to 29.
% 2.32/2.54  
% 2.32/2.54  Resetting weight limit to 29 after 175 givens.
% 2.32/2.54  
% 2.51/2.71  
% 2.51/2.71  
% 2.51/2.71  Changing weight limit from 29 to 28.
% 2.51/2.71  
% 2.51/2.71  Resetting weight limit to 28 after 185 givens.
% 2.51/2.71  
% 2.61/2.89  
% 2.61/2.89  
% 2.61/2.89  Changing weight limit from 28 to 27.
% 2.61/2.89  
% 2.61/2.89  Resetting weight limit to 27 after 195 givens.
% 2.61/2.89  
% 2.93/3.19  
% 2.93/3.19  
% 2.93/3.19  Changing weight limit from 27 to 24.
% 2.93/3.19  
% 2.93/3.19  Resetting weight limit to 24 after 200 givens.
% 2.93/3.19  
% 3.13/3.33  
% 3.13/3.33  
% 3.13/3.33  Changing weight limit from 24 to 23.
% 3.13/3.33  
% 3.13/3.33  Resetting weight limit to 23 after 210 givens.
% 3.13/3.33  
% 3.40/3.58  
% 3.40/3.58  
% 3.40/3.58  Changing weight limit from 23 to 22.
% 3.40/3.58  
% 3.40/3.58  Resetting weight limit to 22 after 230 givens.
% 3.40/3.58  
% 3.83/4.04  
% 3.83/4.04  
% 3.83/4.04  Changing weight limit from 22 to 21.
% 3.83/4.04  
% 3.83/4.04  Resetting weight limit to 21 after 275 givens.
% 3.83/4.04  
% 4.15/4.37  
% 4.15/4.37  
% 4.15/4.37  Changing weight limit from 21 to 20.
% 4.15/4.37  
% 4.15/4.37  Modelling stopped after 300 given clauses and 0.00 seconds
% 4.15/4.37  
% 4.15/4.37  
% 4.15/4.37  Resetting weight limit to 20 after 310 givens.
% 4.15/4.37  
% 4.95/5.18  
% 4.95/5.18  
% 4.95/5.18  Changing weight limit from 20 to 19.
% 4.95/5.18  
% 4.95/5.18  Resetting weight limit to 19 after 375 givens.
% 4.95/5.18  
% 5.23/5.51  
% 5.23/5.51  
% 5.23/5.51  Changing weight limit from 19 to 18.
% 5.23/5.51  
% 5.23/5.51  Resetting weight limit to 18 after 445 givens.
% 5.23/5.51  
% 6.41/6.63  
% 6.41/6.63  
% 6.41/6.63  Changing weight limit from 18 to 17.
% 6.41/6.63  
% 6.41/6.63  Resetting weight limit to 17 after 675 givens.
% 6.41/6.63  
% 9.41/9.66  
% 9.41/9.66  
% 9.41/9.66  Changing weight limit from 17 to 16.
% 9.41/9.66  
% 9.41/9.66  Resetting weight limit to 16 after 1540 givens.
% 9.41/9.66  
% 69.28/69.47  
% 69.28/69.47  
% 69.28/69.47  Changing weight limit from 16 to 17.
% 69.28/69.47  
% 69.28/69.47  Resetting weight limit to 17 after 10190 givens.
% 69.28/69.47  
% 69.29/69.50  
% 69.29/69.50  
% 69.29/69.50  Changing weight limit from 17 to 18.
% 69.29/69.50  
% 69.29/69.50  Resetting weight limit to 18 after 10195 givens.
% 69.29/69.50  
% 163.70/163.93  
% 163.70/163.93  SEGMENTATION FAULT!!  This is probably caused by a
% 163.70/163.93  bug in Otter.  Please send copy of the input file to
% 163.70/163.93  otter@mcs.anl.gov, let us know what version of Otter you are
% 163.70/163.93  using, and send any other info that might be useful.
% 163.70/163.93  
% 163.70/163.93  
% 163.70/163.93  SEGMENTATION FAULT!!  This is probably caused by a
% 163.70/163.93  bug in Otter.  Please send copy of the input file to
% 163.70/163.93  otter@mcs.anl.gov, let us know what version of Otter you are
% 163.70/163.93  using, and send any other info that might be useful.
% 163.70/163.93  
% 163.70/163.93  
% 163.70/163.93  The job finished Wed Jun 15 17:59:16 2022
%------------------------------------------------------------------------------