TSTP Solution File: SWW438-1 by SOS---2.0

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : SOS---2.0
% Problem  : SWW438-1 : TPTP v8.1.0. Released v5.2.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : sos-script %s

% Computer : n025.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 01:26:51 EDT 2022

% Result   : Timeout 300.05s 300.27s
% Output   : None 
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----No solution output by system
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.07/0.12  % Problem  : SWW438-1 : TPTP v8.1.0. Released v5.2.0.
% 0.07/0.12  % Command  : sos-script %s
% 0.13/0.33  % Computer : n025.cluster.edu
% 0.13/0.33  % Model    : x86_64 x86_64
% 0.13/0.33  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.33  % Memory   : 8042.1875MB
% 0.13/0.33  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.13/0.33  % CPULimit : 300
% 0.13/0.33  % WCLimit  : 600
% 0.13/0.33  % DateTime : Mon Jun  6 04:28:17 EDT 2022
% 0.13/0.33  % CPUTime  : 
% 0.13/0.35  ----- Otter 3.2, August 2001 -----
% 0.13/0.35  The process was started by sandbox on n025.cluster.edu,
% 0.13/0.35  Mon Jun  6 04:28:17 2022
% 0.13/0.35  The command was "./sos".  The process ID is 28704.
% 0.13/0.35  
% 0.13/0.35  set(prolog_style_variables).
% 0.13/0.35  set(auto).
% 0.13/0.35     dependent: set(auto1).
% 0.13/0.35     dependent: set(process_input).
% 0.13/0.35     dependent: clear(print_kept).
% 0.13/0.35     dependent: clear(print_new_demod).
% 0.13/0.35     dependent: clear(print_back_demod).
% 0.13/0.35     dependent: clear(print_back_sub).
% 0.13/0.35     dependent: set(control_memory).
% 0.13/0.35     dependent: assign(max_mem, 12000).
% 0.13/0.35     dependent: assign(pick_given_ratio, 4).
% 0.13/0.35     dependent: assign(stats_level, 1).
% 0.13/0.35     dependent: assign(pick_semantic_ratio, 3).
% 0.13/0.35     dependent: assign(sos_limit, 5000).
% 0.13/0.35     dependent: assign(max_weight, 60).
% 0.13/0.35  clear(print_given).
% 0.13/0.35  
% 0.13/0.35  list(usable).
% 0.13/0.35  
% 0.13/0.35  SCAN INPUT: prop=0, horn=0, equality=1, symmetry=0, max_lits=3.
% 0.13/0.35  
% 0.13/0.35  This ia a non-Horn set with equality.  The strategy will be
% 0.13/0.35  Knuth-Bendix, ordered hyper_res, ur_res, factoring, and
% 0.13/0.35  unit deletion, with positive clauses in sos and nonpositive
% 0.13/0.35  clauses in usable.
% 0.13/0.35  
% 0.13/0.35     dependent: set(knuth_bendix).
% 0.13/0.35     dependent: set(para_from).
% 0.13/0.35     dependent: set(para_into).
% 0.13/0.35     dependent: clear(para_from_right).
% 0.13/0.35     dependent: clear(para_into_right).
% 0.13/0.35     dependent: set(para_from_vars).
% 0.13/0.35     dependent: set(eq_units_both_ways).
% 0.13/0.35     dependent: set(dynamic_demod_all).
% 0.13/0.35     dependent: set(dynamic_demod).
% 0.13/0.35     dependent: set(order_eq).
% 0.13/0.35     dependent: set(back_demod).
% 0.13/0.35     dependent: set(lrpo).
% 0.13/0.35     dependent: set(hyper_res).
% 0.13/0.35     dependent: set(unit_deletion).
% 0.13/0.35     dependent: set(factor).
% 0.13/0.35  
% 0.13/0.35  ------------> process usable:
% 0.13/0.35  
% 0.13/0.35  ------------> process sos:
% 0.13/0.35    Following clause subsumed by 33 during input processing: 0 [copy,33,flip.1] {-} sep(A,sep(B,C))=sep(B,sep(A,C)).
% 0.13/0.35    Following clause subsumed by 37 during input processing: 0 [copy,37,flip.1] {-} A=A.
% 0.13/0.35  37 back subsumes 31.
% 0.13/0.35  
% 0.13/0.35  ======= end of input processing =======
% 0.13/0.37  
% 0.13/0.37  Model 1 (0.00 seconds, 0 Inserts)
% 0.13/0.37  
% 0.13/0.37  Stopped by limit on number of solutions
% 0.13/0.37  
% 0.13/0.37  
% 0.13/0.37  -------------- Softie stats --------------
% 0.13/0.37  
% 0.13/0.37  UPDATE_STOP: 300
% 0.13/0.37  SFINDER_TIME_LIMIT: 2
% 0.13/0.37  SHORT_CLAUSE_CUTOFF: 4
% 0.13/0.37  number of clauses in intial UL: 25
% 0.13/0.37  number of clauses initially in problem: 30
% 0.13/0.37  percentage of clauses intially in UL: 83
% 0.13/0.37  percentage of distinct symbols occuring in initial UL: 81
% 0.13/0.37  percent of all initial clauses that are short: 100
% 0.13/0.37  absolute distinct symbol count: 22
% 0.13/0.37     distinct predicate count: 2
% 0.13/0.37     distinct function count: 3
% 0.13/0.37     distinct constant count: 17
% 0.13/0.37  
% 0.13/0.37  ---------- no more Softie stats ----------
% 0.13/0.37  
% 0.13/0.37  
% 0.13/0.37  
% 0.13/0.37  =========== start of search ===========
% 26.09/26.29  
% 26.09/26.29  
% 26.09/26.29  Changing weight limit from 60 to 58.
% 26.09/26.29  
% 26.09/26.29  Model 2 (0.00 seconds, 0 Inserts)
% 26.09/26.29  
% 26.09/26.29  Stopped by limit on number of solutions
% 26.09/26.29  
% 26.09/26.29  Resetting weight limit to 58 after 80 givens.
% 26.09/26.29  
% 28.52/28.71  
% 28.52/28.71  
% 28.52/28.71  Changing weight limit from 58 to 56.
% 28.52/28.71  
% 28.52/28.71  Resetting weight limit to 56 after 90 givens.
% 28.52/28.71  
% 105.05/105.26  
% 105.05/105.26  
% 105.05/105.26  Changing weight limit from 56 to 50.
% 105.05/105.26  
% 105.05/105.26  Resetting weight limit to 50 after 350 givens.
% 105.05/105.26  
% 154.25/154.47  
% 154.25/154.47  
% 154.25/154.47  Changing weight limit from 50 to 49.
% 154.25/154.47  
% 154.25/154.47  Resetting weight limit to 49 after 415 givens.
% 154.25/154.47  
% 158.75/158.95  
% 158.75/158.95  
% 158.75/158.95  Changing weight limit from 49 to 42.
% 158.75/158.95  
% 158.75/158.95  Resetting weight limit to 42 after 420 givens.
% 158.75/158.95  
% 163.53/163.77  
% 163.53/163.77  
% 163.53/163.77  Changing weight limit from 42 to 35.
% 163.53/163.77  
% 163.53/163.77  Resetting weight limit to 35 after 425 givens.
% 163.53/163.77  
% 167.55/167.78  
% 167.55/167.78  
% 167.55/167.78  Changing weight limit from 35 to 32.
% 167.55/167.78  
% 167.55/167.78  Resetting weight limit to 32 after 430 givens.
% 167.55/167.78  
% 168.76/168.98  
% 168.76/168.98  
% 168.76/168.98  Changing weight limit from 32 to 30.
% 168.76/168.98  
% 168.76/168.98  Resetting weight limit to 30 after 435 givens.
% 168.76/168.98  
% 169.68/169.92  
% 169.68/169.92  
% 169.68/169.92  Changing weight limit from 30 to 29.
% 169.68/169.92  
% 169.68/169.92  Resetting weight limit to 29 after 440 givens.
% 169.68/169.92  
% 170.84/171.04  
% 170.84/171.04  
% 170.84/171.04  Changing weight limit from 29 to 28.
% 170.84/171.04  
% 170.84/171.04  Resetting weight limit to 28 after 445 givens.
% 170.84/171.04  
% 175.25/175.48  
% 175.25/175.48  
% 175.25/175.48  Changing weight limit from 28 to 27.
% 175.25/175.48  
% 175.25/175.48  Resetting weight limit to 27 after 460 givens.
% 175.25/175.48  
% 180.25/180.49  
% 180.25/180.49  
% 180.25/180.49  Changing weight limit from 27 to 26.
% 180.25/180.49  
% 180.25/180.49  Modelling stopped after 300 given clauses and 0.00 seconds
% 180.25/180.49  
% 180.25/180.49  
% 180.25/180.49  Resetting weight limit to 26 after 475 givens.
% 180.25/180.49  
% 189.06/189.28  
% 189.06/189.28  
% 189.06/189.28  Changing weight limit from 26 to 25.
% 189.06/189.28  
% 189.06/189.28  Resetting weight limit to 25 after 505 givens.
% 189.06/189.28  
% 201.46/201.73  
% 201.46/201.73  
% 201.46/201.73  Changing weight limit from 25 to 24.
% 201.46/201.73  
% 201.46/201.73  Resetting weight limit to 24 after 595 givens.
% 201.46/201.73  
% 202.38/202.63  
% 202.38/202.63  
% 202.38/202.63  Changing weight limit from 24 to 23.
% 202.38/202.63  
% 202.38/202.63  Resetting weight limit to 23 after 615 givens.
% 202.38/202.63  
% 223.45/223.72  
% 223.45/223.72  
% 223.45/223.72  Changing weight limit from 23 to 22.
% 223.45/223.72  
% 223.45/223.72  Resetting weight limit to 22 after 900 givens.
% 223.45/223.72  
% 230.96/231.19  
% 230.96/231.19  
% 230.96/231.19  Changing weight limit from 22 to 21.
% 230.96/231.19  
% 230.96/231.19  Resetting weight limit to 21 after 1035 givens.
% 230.96/231.19  
% 277.65/277.89  
% 277.65/277.89  
% 277.65/277.89  Changing weight limit from 21 to 20.
% 277.65/277.89  
% 277.65/277.89  Resetting weight limit to 20 after 2060 givens.
% 277.65/277.89  
% 300.05/300.27  Wow, sos-wrapper got a signal XCPU
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