TSTP Solution File: SYO821+1 by SOS---2.0

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : SOS---2.0
% Problem  : SYO821+1 : TPTP v8.1.0. Released v7.4.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : sos-script %s

% Computer : n010.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 19:51:01 EDT 2022

% Result   : Timeout 300.06s 300.23s
% Output   : None 
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----No solution output by system
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12  % Problem  : SYO821+1 : TPTP v8.1.0. Released v7.4.0.
% 0.12/0.13  % Command  : sos-script %s
% 0.12/0.34  % Computer : n010.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 : Sat Jul  9 01:42:16 EDT 2022
% 0.12/0.34  % CPUTime  : 
% 0.19/0.36  ----- Otter 3.2, August 2001 -----
% 0.19/0.36  The process was started by sandbox2 on n010.cluster.edu,
% 0.19/0.36  Sat Jul  9 01:42:16 2022
% 0.19/0.36  The command was "./sos".  The process ID is 22284.
% 0.19/0.36  
% 0.19/0.36  set(prolog_style_variables).
% 0.19/0.36  set(auto).
% 0.19/0.36     dependent: set(auto1).
% 0.19/0.36     dependent: set(process_input).
% 0.19/0.36     dependent: clear(print_kept).
% 0.19/0.36     dependent: clear(print_new_demod).
% 0.19/0.36     dependent: clear(print_back_demod).
% 0.19/0.36     dependent: clear(print_back_sub).
% 0.19/0.36     dependent: set(control_memory).
% 0.19/0.36     dependent: assign(max_mem, 12000).
% 0.19/0.36     dependent: assign(pick_given_ratio, 4).
% 0.19/0.36     dependent: assign(stats_level, 1).
% 0.19/0.36     dependent: assign(pick_semantic_ratio, 3).
% 0.19/0.36     dependent: assign(sos_limit, 5000).
% 0.19/0.36     dependent: assign(max_weight, 60).
% 0.19/0.36  clear(print_given).
% 0.19/0.36  
% 0.19/0.36  formula_list(usable).
% 0.19/0.36  
% 0.19/0.36  SCAN INPUT: prop=0, horn=0, equality=0, symmetry=0, max_lits=4.
% 0.19/0.36  
% 0.19/0.36  This is a non-Horn set without equality.  The strategy
% 0.19/0.36  will be ordered hyper_res, ur_res, unit deletion, and
% 0.19/0.36  factoring, with satellites in sos and nuclei in usable.
% 0.19/0.36  
% 0.19/0.36     dependent: set(hyper_res).
% 0.19/0.36     dependent: set(factor).
% 0.19/0.36     dependent: set(unit_deletion).
% 0.19/0.36  
% 0.19/0.36  ------------> process usable:
% 0.19/0.36  
% 0.19/0.36  ------------> process sos:
% 0.19/0.36  
% 0.19/0.36  ======= end of input processing =======
% 0.19/0.40  
% 0.19/0.40  Model 1 (0.00 seconds, 0 Inserts)
% 0.19/0.40  
% 0.19/0.40  Stopped by limit on number of solutions
% 0.19/0.40  
% 0.19/0.40  
% 0.19/0.40  -------------- Softie stats --------------
% 0.19/0.40  
% 0.19/0.40  UPDATE_STOP: 300
% 0.19/0.40  SFINDER_TIME_LIMIT: 2
% 0.19/0.40  SHORT_CLAUSE_CUTOFF: 4
% 0.19/0.40  number of clauses in intial UL: 13
% 0.19/0.40  number of clauses initially in problem: 17
% 0.19/0.40  percentage of clauses intially in UL: 76
% 0.19/0.40  percentage of distinct symbols occuring in initial UL: 78
% 0.19/0.40  percent of all initial clauses that are short: 100
% 0.19/0.40  absolute distinct symbol count: 14
% 0.19/0.40     distinct predicate count: 1
% 0.19/0.40     distinct function count: 4
% 0.19/0.40     distinct constant count: 9
% 0.19/0.40  
% 0.19/0.40  ---------- no more Softie stats ----------
% 0.19/0.40  
% 0.19/0.40  
% 0.19/0.40  
% 0.19/0.40  Model 2 (0.00 seconds, 0 Inserts)
% 0.19/0.40  
% 0.19/0.40  Stopped by limit on number of solutions
% 0.19/0.40  
% 0.19/0.40  =========== start of search ===========
% 20.01/20.22  
% 20.01/20.22  
% 20.01/20.22  Changing weight limit from 60 to 54.
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 3 [ 1 1 72 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 4 [ 1 0 75 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 5 [ 1 1 111 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 6 [ 1 0 61 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 7 [ 5 1 469 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 8 [ 4 0 123 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Model 9 [ 6 0 77 ] (0.00 seconds, 288 Inserts)
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 10 [ 6 0 92 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 11 [ 5 0 229 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 12 [ 5 1 241 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 13 [ 7 0 91 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 14 [ 6 0 2654 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 15 [ 8 0 376 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 16 [ 6 3 96510 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 17 [ 7 0 71 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 18 [ 6 1 36096 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 19 [ 6 1 47488 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 20 [ 9 1 102 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 21 [ 11 0 69 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 22 [ 11 1 135 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 23 [ 11 0 6885 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Stopped by limit on insertions
% 20.01/20.22  
% 20.01/20.22  Model 24 [ 8 4 91510 ] (0.00 seconds, 250000 Inserts)
% 20.01/20.22  
% 20.01/20.22  Resetting weight limit to 54 after 100 givens.
% 20.01/20.22  
% 23.54/23.72  
% 23.54/23.72  
% 23.54/23.72  Changing weight limit from 54 to 49.
% 23.54/23.72  
% 23.54/23.72  Resetting weight limit to 49 after 105 givens.
% 23.54/23.72  
% 26.52/26.75  
% 26.52/26.75  
% 26.52/26.75  Changing weight limit from 49 to 44.
% 26.52/26.75  
% 26.52/26.75  Resetting weight limit to 44 after 110 givens.
% 26.52/26.75  
% 28.64/28.83  
% 28.64/28.83  
% 28.64/28.83  Changing weight limit from 44 to 42.
% 28.64/28.83  
% 28.64/28.83  Resetting weight limit to 42 after 115 givens.
% 28.64/28.83  
% 31.24/31.47  
% 31.24/31.47  
% 31.24/31.47  Changing weight limit from 42 to 39.
% 31.24/31.47  
% 31.24/31.47  Resetting weight limit to 39 after 120 givens.
% 31.24/31.47  
% 33.17/33.41  
% 33.17/33.41  
% 33.17/33.41  Changing weight limit from 39 to 38.
% 33.17/33.41  
% 33.17/33.41  Resetting weight limit to 38 after 125 givens.
% 33.17/33.41  
% 79.23/79.46  
% 79.23/79.46  
% 79.23/79.46  Changing weight limit from 38 to 37.
% 79.23/79.46  
% 79.23/79.46  Resetting weight limit to 37 after 225 givens.
% 79.23/79.46  
% 84.39/84.59  
% 84.39/84.59  
% 84.39/84.59  Changing weight limit from 37 to 34.
% 84.39/84.59  
% 84.39/84.59  Resetting weight limit to 34 after 230 givens.
% 84.39/84.59  
% 95.60/95.77  
% 95.60/95.77  
% 95.60/95.77  Changing weight limit from 34 to 33.
% 95.60/95.77  
% 95.60/95.77  Resetting weight limit to 33 after 245 givens.
% 95.60/95.77  
% 99.88/100.10  
% 99.88/100.10  
% 99.88/100.10  Changing weight limit from 33 to 32.
% 99.88/100.10  
% 99.88/100.10  Resetting weight limit to 32 after 255 givens.
% 99.88/100.10  
% 108.01/108.24  
% 108.01/108.24  
% 108.01/108.24  Changing weight limit from 32 to 31.
% 108.01/108.24  
% 108.01/108.24  Resetting weight limit to 31 after 265 givens.
% 108.01/108.24  
% 122.56/122.80  
% 122.56/122.80  
% 122.56/122.80  Changing weight limit from 31 to 30.
% 122.56/122.80  
% 122.56/122.80  Resetting weight limit to 30 after 280 givens.
% 122.56/122.80  
% 124.03/124.21  
% 124.03/124.21  
% 124.03/124.21  Changing weight limit from 30 to 28.
% 124.03/124.21  
% 124.03/124.21  Resetting weight limit to 28 after 290 givens.
% 124.03/124.21  
% 126.06/126.29  
% 126.06/126.29  
% 126.06/126.29  Changing weight limit from 28 to 27.
% 126.06/126.29  
% 126.06/126.29  Resetting weight limit to 27 after 295 givens.
% 126.06/126.29  
% 129.17/129.38  
% 129.17/129.38  
% 129.17/129.38  Changing weight limit from 27 to 26.
% 129.17/129.38  
% 129.17/129.38  Resetting weight limit to 26 after 305 givens.
% 129.17/129.38  
% 130.80/130.98  
% 130.80/130.98  
% 130.80/130.98  Changing weight limit from 26 to 25.
% 130.80/130.98  
% 130.80/130.98  Resetting weight limit to 25 after 310 givens.
% 130.80/130.98  
% 139.26/139.50  
% 139.26/139.50  
% 139.26/139.50  Changing weight limit from 25 to 24.
% 139.26/139.50  
% 139.26/139.50  Resetting weight limit to 24 after 340 givens.
% 139.26/139.50  
% 143.98/144.17  
% 143.98/144.17  
% 143.98/144.17  Changing weight limit from 24 to 23.
% 143.98/144.17  
% 143.98/144.17  Resetting weight limit to 23 after 355 givens.
% 143.98/144.17  
% 154.44/154.65  
% 154.44/154.65  
% 154.44/154.65  Changing weight limit from 23 to 22.
% 154.44/154.65  
% 154.44/154.65  Modelling stopped after 300 given clauses and 0.00 seconds
% 154.44/154.65  
% 154.44/154.65  
% 154.44/154.65  Resetting weight limit to 22 after 385 givens.
% 154.44/154.65  
% 159.35/159.58  
% 159.35/159.58  
% 159.35/159.58  Changing weight limit from 22 to 21.
% 159.35/159.58  
% 159.35/159.58  Resetting weight limit to 21 after 395 givens.
% 159.35/159.58  
% 180.78/180.96  
% 180.78/180.96  
% 180.78/180.96  Changing weight limit from 21 to 20.
% 180.78/180.96  
% 180.78/180.96  Resetting weight limit to 20 after 435 givens.
% 180.78/180.96  
% 243.23/243.41  
% 243.23/243.41  
% 243.23/243.41  Changing weight limit from 20 to 19.
% 243.23/243.41  
% 243.23/243.41  Resetting weight limit to 19 after 545 givens.
% 243.23/243.41  
% 300.06/300.23  Wow, sos-wrapper got a signal XCPU
%------------------------------------------------------------------------------