TSTP Solution File: NLP188+1 by SOS---2.0
View Problem
- Process Solution
%------------------------------------------------------------------------------
% File : SOS---2.0
% Problem : NLP188+1 : TPTP v8.1.0. Released v2.4.0.
% Transfm : none
% Format : tptp:raw
% Command : sos-script %s
% Computer : n011.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 : Mon Jul 18 05:24:33 EDT 2022
% Result : Unknown 45.32s 45.52s
% Output : None
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----No solution output by system
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.07/0.13 % Problem : NLP188+1 : TPTP v8.1.0. Released v2.4.0.
% 0.07/0.13 % Command : sos-script %s
% 0.13/0.35 % Computer : n011.cluster.edu
% 0.13/0.35 % Model : x86_64 x86_64
% 0.13/0.35 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.35 % Memory : 8042.1875MB
% 0.13/0.35 % OS : Linux 3.10.0-693.el7.x86_64
% 0.13/0.35 % CPULimit : 300
% 0.13/0.35 % WCLimit : 600
% 0.13/0.35 % DateTime : Thu Jun 30 18:16:03 EDT 2022
% 0.13/0.35 % CPUTime :
% 0.13/0.37
% 0.13/0.37
% 0.13/0.37 WARNING, multiple arity: set/1, set/2.
% 0.13/0.37
% 0.20/0.43 ----- Otter 3.2, August 2001 -----
% 0.20/0.43 The process was started by sandbox2 on n011.cluster.edu,
% 0.20/0.43 Thu Jun 30 18:16:03 2022
% 0.20/0.43 The command was "./sos". The process ID is 5145.
% 0.20/0.43
% 0.20/0.43 set(prolog_style_variables).
% 0.20/0.43 set(auto).
% 0.20/0.43 dependent: set(auto1).
% 0.20/0.43 dependent: set(process_input).
% 0.20/0.43 dependent: clear(print_kept).
% 0.20/0.43 dependent: clear(print_new_demod).
% 0.20/0.43 dependent: clear(print_back_demod).
% 0.20/0.43 dependent: clear(print_back_sub).
% 0.20/0.43 dependent: set(control_memory).
% 0.20/0.43 dependent: assign(max_mem, 12000).
% 0.20/0.43 dependent: assign(pick_given_ratio, 4).
% 0.20/0.43 dependent: assign(stats_level, 1).
% 0.20/0.43 dependent: assign(pick_semantic_ratio, 3).
% 0.20/0.43 dependent: assign(sos_limit, 5000).
% 0.20/0.43 dependent: assign(max_weight, 60).
% 0.20/0.43 clear(print_given).
% 0.20/0.43
% 0.20/0.43 formula_list(usable).
% 0.20/0.43
% 0.20/0.43 SCAN INPUT: prop=0, horn=0, equality=1, symmetry=0, max_lits=36.
% 0.20/0.43
% 0.20/0.43 This ia a non-Horn set with equality. The strategy will be
% 0.20/0.43 Knuth-Bendix, ordered hyper_res, ur_res, factoring, and
% 0.20/0.43 unit deletion, with positive clauses in sos and nonpositive
% 0.20/0.43 clauses in usable.
% 0.20/0.43
% 0.20/0.43 dependent: set(knuth_bendix).
% 0.20/0.43 dependent: set(para_from).
% 0.20/0.43 dependent: set(para_into).
% 0.20/0.43 dependent: clear(para_from_right).
% 0.20/0.43 dependent: clear(para_into_right).
% 0.20/0.43 dependent: set(para_from_vars).
% 0.20/0.43 dependent: set(eq_units_both_ways).
% 0.20/0.43 dependent: set(dynamic_demod_all).
% 0.20/0.43 dependent: set(dynamic_demod).
% 0.20/0.43 dependent: set(order_eq).
% 0.20/0.43 dependent: set(back_demod).
% 0.20/0.43 dependent: set(lrpo).
% 0.20/0.43 dependent: set(hyper_res).
% 0.20/0.43 dependent: set(unit_deletion).
% 0.20/0.43 dependent: set(factor).
% 0.20/0.43
% 0.20/0.43 ------------> process usable:
% 0.20/0.43
% 0.20/0.43 ------------> process sos:
% 0.20/0.43 Following clause subsumed by 126 during input processing: 0 [copy,126,flip.1] {-} A=A.
% 0.20/0.43 126 back subsumes 105.
% 0.20/0.43 126 back subsumes 104.
% 0.20/0.43 126 back subsumes 103.
% 0.20/0.43
% 0.20/0.43 ======= end of input processing =======
% 0.20/0.51
% 0.20/0.51
% 0.20/0.51 Failed to model usable list: disabling FINDER
% 0.20/0.51
% 0.20/0.51
% 0.20/0.51
% 0.20/0.51 -------------- Softie stats --------------
% 0.20/0.51
% 0.20/0.51 UPDATE_STOP: 300
% 0.20/0.51 SFINDER_TIME_LIMIT: 2
% 0.20/0.51 SHORT_CLAUSE_CUTOFF: 4
% 0.20/0.51 number of clauses in intial UL: 101
% 0.20/0.51 number of clauses initially in problem: 122
% 0.20/0.51 percentage of clauses intially in UL: 82
% 0.20/0.51 percentage of distinct symbols occuring in initial UL: 96
% 0.20/0.51 percent of all initial clauses that are short: 99
% 0.20/0.51 absolute distinct symbol count: 83
% 0.20/0.51 distinct predicate count: 67
% 0.20/0.51 distinct function count: 10
% 0.20/0.51 distinct constant count: 6
% 0.20/0.51
% 0.20/0.51 ---------- no more Softie stats ----------
% 0.20/0.51
% 0.20/0.51
% 0.20/0.51
% 0.20/0.51 =========== start of search ===========
% 4.30/4.53
% 4.30/4.53
% 4.30/4.53 Changing weight limit from 60 to 43.
% 4.30/4.53
% 4.30/4.53 Resetting weight limit to 43 after 245 givens.
% 4.30/4.53
% 4.72/4.91
% 4.72/4.91
% 4.72/4.91 Changing weight limit from 43 to 40.
% 4.72/4.91
% 4.72/4.91 Resetting weight limit to 40 after 250 givens.
% 4.72/4.91
% 4.91/5.15
% 4.91/5.15
% 4.91/5.15 Changing weight limit from 40 to 39.
% 4.91/5.15
% 4.91/5.15 Resetting weight limit to 39 after 255 givens.
% 4.91/5.15
% 5.51/5.75
% 5.51/5.75
% 5.51/5.75 Changing weight limit from 39 to 38.
% 5.51/5.75
% 5.51/5.75 Resetting weight limit to 38 after 265 givens.
% 5.51/5.75
% 6.11/6.34
% 6.11/6.34
% 6.11/6.34 Changing weight limit from 38 to 37.
% 6.11/6.34
% 6.11/6.34 Resetting weight limit to 37 after 275 givens.
% 6.11/6.34
% 6.41/6.63
% 6.41/6.63
% 6.41/6.63 Changing weight limit from 37 to 36.
% 6.41/6.63
% 6.41/6.63 Resetting weight limit to 36 after 280 givens.
% 6.41/6.63
% 6.53/6.77
% 6.53/6.77
% 6.53/6.77 Changing weight limit from 36 to 35.
% 6.53/6.77
% 6.53/6.77 Resetting weight limit to 35 after 285 givens.
% 6.53/6.77
% 7.03/7.21
% 7.03/7.21
% 7.03/7.21 Changing weight limit from 35 to 34.
% 7.03/7.21
% 7.03/7.21 Resetting weight limit to 34 after 295 givens.
% 7.03/7.21
% 7.25/7.47
% 7.25/7.47
% 7.25/7.47 Changing weight limit from 34 to 33.
% 7.25/7.47
% 7.25/7.47 Modelling stopped after 300 given clauses and 0.00 seconds
% 7.25/7.47
% 7.25/7.47
% 7.25/7.47 Resetting weight limit to 33 after 300 givens.
% 7.25/7.47
% 7.70/7.91
% 7.70/7.91
% 7.70/7.91 Changing weight limit from 33 to 32.
% 7.70/7.91
% 7.70/7.91 Resetting weight limit to 32 after 305 givens.
% 7.70/7.91
% 8.11/8.32
% 8.11/8.32
% 8.11/8.32 Changing weight limit from 32 to 29.
% 8.11/8.32
% 8.11/8.32 Resetting weight limit to 29 after 310 givens.
% 8.11/8.32
% 8.25/8.46
% 8.25/8.46
% 8.25/8.46 Changing weight limit from 29 to 28.
% 8.25/8.46
% 8.25/8.46 Resetting weight limit to 28 after 315 givens.
% 8.25/8.46
% 8.45/8.64
% 8.45/8.64
% 8.45/8.64 Changing weight limit from 28 to 27.
% 8.45/8.64
% 8.45/8.64 Resetting weight limit to 27 after 320 givens.
% 8.45/8.64
% 9.21/9.45
% 9.21/9.45
% 9.21/9.45 Changing weight limit from 27 to 26.
% 9.21/9.45
% 9.21/9.45 Resetting weight limit to 26 after 345 givens.
% 9.21/9.45
% 10.63/10.89
% 10.63/10.89
% 10.63/10.89 Changing weight limit from 26 to 25.
% 10.63/10.89
% 10.63/10.89 Resetting weight limit to 25 after 395 givens.
% 10.63/10.89
% 11.20/11.41
% 11.20/11.41
% 11.20/11.41 Changing weight limit from 25 to 24.
% 11.20/11.41
% 11.20/11.41 Resetting weight limit to 24 after 410 givens.
% 11.20/11.41
% 13.03/13.22
% 13.03/13.22
% 13.03/13.22 Changing weight limit from 24 to 23.
% 13.03/13.22
% 13.03/13.22 Resetting weight limit to 23 after 485 givens.
% 13.03/13.22
% 13.61/13.85
% 13.61/13.85
% 13.61/13.85 Changing weight limit from 23 to 22.
% 13.61/13.85
% 13.61/13.85 Resetting weight limit to 22 after 505 givens.
% 13.61/13.85
% 15.23/15.44
% 15.23/15.44
% 15.23/15.44 Changing weight limit from 22 to 21.
% 15.23/15.44
% 15.23/15.44 Resetting weight limit to 21 after 545 givens.
% 15.23/15.44
% 16.06/16.27
% 16.06/16.27
% 16.06/16.27 Changing weight limit from 21 to 20.
% 16.06/16.27
% 16.06/16.27 Resetting weight limit to 20 after 570 givens.
% 16.06/16.27
% 18.42/18.63
% 18.42/18.63
% 18.42/18.63 Changing weight limit from 20 to 19.
% 18.42/18.63
% 18.42/18.63 Resetting weight limit to 19 after 635 givens.
% 18.42/18.63
% 19.00/19.24
% 19.00/19.24
% 19.00/19.24 Changing weight limit from 19 to 18.
% 19.00/19.24
% 19.00/19.24 Resetting weight limit to 18 after 660 givens.
% 19.00/19.24
% 21.73/21.91
% 21.73/21.91
% 21.73/21.91 Changing weight limit from 18 to 17.
% 21.73/21.91
% 21.73/21.91 Resetting weight limit to 17 after 820 givens.
% 21.73/21.91
% 33.09/33.35
% 33.09/33.35
% 33.09/33.35 Changing weight limit from 17 to 16.
% 33.09/33.35
% 33.09/33.35 Resetting weight limit to 16 after 1715 givens.
% 33.09/33.35
% 33.99/34.20
% 33.99/34.20
% 33.99/34.20 Changing weight limit from 16 to 15.
% 33.99/34.20
% 33.99/34.20 Resetting weight limit to 15 after 1725 givens.
% 33.99/34.20
% 34.31/34.54
% 34.31/34.54
% 34.31/34.54 Changing weight limit from 15 to 13.
% 34.31/34.54
% 34.31/34.54 Resetting weight limit to 13 after 1730 givens.
% 34.31/34.54
% 37.84/38.07
% 37.84/38.07
% 37.84/38.07 Changing weight limit from 13 to 14.
% 37.84/38.07
% 37.84/38.07 Resetting weight limit to 14 after 3445 givens.
% 37.84/38.07
% 37.84/38.08
% 37.84/38.08
% 37.84/38.08 Changing weight limit from 14 to 15.
% 37.84/38.08
% 37.84/38.08 Resetting weight limit to 15 after 3450 givens.
% 37.84/38.08
% 37.84/38.09
% 37.84/38.09
% 37.84/38.09 Changing weight limit from 15 to 16.
% 37.84/38.09
% 37.84/38.09 Resetting weight limit to 16 after 3455 givens.
% 37.84/38.09
% 37.92/38.11
% 37.92/38.11
% 37.92/38.11 Changing weight limit from 16 to 17.
% 37.92/38.11
% 37.92/38.11 Resetting weight limit to 17 after 3460 givens.
% 37.92/38.11
% 45.32/45.52
% 45.32/45.52 SEGMENTATION FAULT!! This is probably caused by a
% 45.32/45.52 bug in Otter. Please send copy of the input file to
% 45.32/45.52 otter@mcs.anl.gov, let us know what version of Otter you are
% 45.32/45.52 using, and send any other info that might be useful.
% 45.32/45.52
% 45.32/45.52
% 45.32/45.52 SEGMENTATION FAULT!! This is probably caused by a
% 45.32/45.52 bug in Otter. Please send copy of the input file to
% 45.32/45.52 otter@mcs.anl.gov, let us know what version of Otter you are
% 45.32/45.52 using, and send any other info that might be useful.
% 45.32/45.52
% 45.32/45.52
% 45.32/45.52 The job finished Thu Jun 30 18:16:48 2022
%------------------------------------------------------------------------------