TSTP Solution File: SET853-2 by SOS---2.0

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : SOS---2.0
% Problem  : SET853-2 : TPTP v8.1.0. Released v3.2.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : sos-script %s

% Computer : n005.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 : Tue Jul 19 05:21:18 EDT 2022

% Result   : Unsatisfiable 33.33s 33.56s
% Output   : Refutation 33.33s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12  % Problem  : SET853-2 : TPTP v8.1.0. Released v3.2.0.
% 0.12/0.12  % Command  : sos-script %s
% 0.12/0.33  % Computer : n005.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 Jul  9 17:57:52 EDT 2022
% 0.12/0.33  % CPUTime  : 
% 0.18/0.35  ----- Otter 3.2, August 2001 -----
% 0.18/0.35  The process was started by sandbox2 on n005.cluster.edu,
% 0.18/0.35  Sat Jul  9 17:57:52 2022
% 0.18/0.35  The command was "./sos".  The process ID is 29432.
% 0.18/0.35  
% 0.18/0.35  set(prolog_style_variables).
% 0.18/0.35  set(auto).
% 0.18/0.35     dependent: set(auto1).
% 0.18/0.35     dependent: set(process_input).
% 0.18/0.35     dependent: clear(print_kept).
% 0.18/0.35     dependent: clear(print_new_demod).
% 0.18/0.35     dependent: clear(print_back_demod).
% 0.18/0.35     dependent: clear(print_back_sub).
% 0.18/0.35     dependent: set(control_memory).
% 0.18/0.35     dependent: assign(max_mem, 12000).
% 0.18/0.35     dependent: assign(pick_given_ratio, 4).
% 0.18/0.35     dependent: assign(stats_level, 1).
% 0.18/0.35     dependent: assign(pick_semantic_ratio, 3).
% 0.18/0.35     dependent: assign(sos_limit, 5000).
% 0.18/0.35     dependent: assign(max_weight, 60).
% 0.18/0.35  clear(print_given).
% 0.18/0.35  
% 0.18/0.35  list(usable).
% 0.18/0.35  
% 0.18/0.35  SCAN INPUT: prop=0, horn=0, equality=1, symmetry=0, max_lits=5.
% 0.18/0.35  
% 0.18/0.35  This ia a non-Horn set with equality.  The strategy will be
% 0.18/0.35  Knuth-Bendix, ordered hyper_res, ur_res, factoring, and
% 0.18/0.35  unit deletion, with positive clauses in sos and nonpositive
% 0.18/0.35  clauses in usable.
% 0.18/0.35  
% 0.18/0.35     dependent: set(knuth_bendix).
% 0.18/0.35     dependent: set(para_from).
% 0.18/0.35     dependent: set(para_into).
% 0.18/0.35     dependent: clear(para_from_right).
% 0.18/0.35     dependent: clear(para_into_right).
% 0.18/0.35     dependent: set(para_from_vars).
% 0.18/0.35     dependent: set(eq_units_both_ways).
% 0.18/0.35     dependent: set(dynamic_demod_all).
% 0.18/0.35     dependent: set(dynamic_demod).
% 0.18/0.35     dependent: set(order_eq).
% 0.18/0.35     dependent: set(back_demod).
% 0.18/0.35     dependent: set(lrpo).
% 0.18/0.35     dependent: set(hyper_res).
% 0.18/0.35     dependent: set(unit_deletion).
% 0.18/0.35     dependent: set(factor).
% 0.18/0.35  
% 0.18/0.35  ------------> process usable:
% 0.18/0.35  
% 0.18/0.35  ------------> process sos:
% 0.18/0.35  20 back subsumes 16.
% 0.18/0.35  20 back subsumes 15.
% 0.18/0.35  20 back subsumes 13.
% 0.18/0.35  20 back subsumes 12.
% 0.18/0.35    Following clause subsumed by 21 during input processing: 0 [copy,21,flip.1] {-} A=A.
% 0.18/0.35  21 back subsumes 11.
% 0.18/0.35  
% 0.18/0.35  ======= 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: 10
% 0.18/0.38  number of clauses initially in problem: 15
% 0.18/0.38  percentage of clauses intially in UL: 66
% 0.18/0.38  percentage of distinct symbols occuring in initial UL: 100
% 0.18/0.38  percent of all initial clauses that are short: 100
% 0.18/0.38  absolute distinct symbol count: 11
% 0.18/0.38     distinct predicate count: 3
% 0.18/0.38     distinct function count: 4
% 0.18/0.38     distinct constant count: 4
% 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 ===========
% 2.05/2.25  
% 2.05/2.25  
% 2.05/2.25  Changing weight limit from 60 to 58.
% 2.05/2.25  
% 2.05/2.25  Model 2 (0.00 seconds, 0 Inserts)
% 2.05/2.25  
% 2.05/2.25  Stopped by limit on number of solutions
% 2.05/2.25  
% 2.05/2.25  Resetting weight limit to 58 after 160 givens.
% 2.05/2.25  
% 2.22/2.45  
% 2.22/2.45  
% 2.22/2.45  Changing weight limit from 58 to 57.
% 2.22/2.45  
% 2.22/2.45  Resetting weight limit to 57 after 165 givens.
% 2.22/2.45  
% 2.52/2.77  
% 2.52/2.77  
% 2.52/2.77  Changing weight limit from 57 to 54.
% 2.52/2.77  
% 2.52/2.77  Resetting weight limit to 54 after 170 givens.
% 2.52/2.77  
% 2.65/2.88  
% 2.65/2.88  
% 2.65/2.88  Changing weight limit from 54 to 53.
% 2.65/2.88  
% 2.65/2.88  Resetting weight limit to 53 after 175 givens.
% 2.65/2.88  
% 2.82/3.06  
% 2.82/3.06  
% 2.82/3.06  Changing weight limit from 53 to 51.
% 2.82/3.06  
% 2.82/3.06  Resetting weight limit to 51 after 180 givens.
% 2.82/3.06  
% 2.95/3.21  
% 2.95/3.21  
% 2.95/3.21  Changing weight limit from 51 to 49.
% 2.95/3.21  
% 2.95/3.21  Resetting weight limit to 49 after 185 givens.
% 2.95/3.21  
% 3.22/3.40  
% 3.22/3.40  
% 3.22/3.40  Changing weight limit from 49 to 48.
% 3.22/3.40  
% 3.22/3.40  Resetting weight limit to 48 after 190 givens.
% 3.22/3.40  
% 3.65/3.87  
% 3.65/3.87  
% 3.65/3.87  Changing weight limit from 48 to 47.
% 3.65/3.87  
% 3.65/3.87  Resetting weight limit to 47 after 205 givens.
% 3.65/3.87  
% 4.45/4.69  
% 4.45/4.69  
% 4.45/4.69  Changing weight limit from 47 to 46.
% 4.45/4.69  
% 4.45/4.69  Resetting weight limit to 46 after 230 givens.
% 4.45/4.69  
% 7.56/7.76  
% 7.56/7.76  
% 7.56/7.76  Changing weight limit from 46 to 45.
% 7.56/7.76  
% 7.56/7.76  Resetting weight limit to 45 after 355 givens.
% 7.56/7.76  
% 10.66/10.90  
% 10.66/10.90  
% 10.66/10.90  Changing weight limit from 45 to 44.
% 10.66/10.90  
% 10.66/10.90  Modelling stopped after 300 given clauses and 0.00 seconds
% 10.66/10.90  
% 10.66/10.90  
% 10.66/10.90  Resetting weight limit to 44 after 460 givens.
% 10.66/10.90  
% 14.43/14.67  
% 14.43/14.67  
% 14.43/14.67  Changing weight limit from 44 to 43.
% 14.43/14.67  
% 14.43/14.67  Resetting weight limit to 43 after 620 givens.
% 14.43/14.67  
% 16.64/16.88  
% 16.64/16.88  
% 16.64/16.88  Changing weight limit from 43 to 42.
% 16.64/16.88  
% 16.64/16.88  Resetting weight limit to 42 after 690 givens.
% 16.64/16.88  
% 19.14/19.40  
% 19.14/19.40  
% 19.14/19.40  Changing weight limit from 42 to 41.
% 19.14/19.40  
% 19.14/19.40  Resetting weight limit to 41 after 760 givens.
% 19.14/19.40  
% 22.23/22.48  
% 22.23/22.48  
% 22.23/22.48  Changing weight limit from 41 to 40.
% 22.23/22.48  
% 22.23/22.48  Resetting weight limit to 40 after 835 givens.
% 22.23/22.48  
% 22.92/23.17  
% 22.92/23.17  
% 22.92/23.17  Changing weight limit from 40 to 39.
% 22.92/23.17  
% 22.92/23.17  Resetting weight limit to 39 after 855 givens.
% 22.92/23.17  
% 23.13/23.33  
% 23.13/23.33  
% 23.13/23.33  Changing weight limit from 39 to 38.
% 23.13/23.33  
% 23.13/23.33  Resetting weight limit to 38 after 860 givens.
% 23.13/23.33  
% 23.65/23.90  
% 23.65/23.90  
% 23.65/23.90  Changing weight limit from 38 to 37.
% 23.65/23.90  
% 23.65/23.90  Resetting weight limit to 37 after 890 givens.
% 23.65/23.90  
% 23.96/24.18  
% 23.96/24.18  
% 23.96/24.18  Changing weight limit from 37 to 36.
% 23.96/24.18  
% 23.96/24.18  Resetting weight limit to 36 after 920 givens.
% 23.96/24.18  
% 24.26/24.44  
% 24.26/24.44  
% 24.26/24.44  Changing weight limit from 36 to 35.
% 24.26/24.44  
% 24.26/24.44  Resetting weight limit to 35 after 950 givens.
% 24.26/24.44  
% 33.33/33.56  
% 33.33/33.56  -- HEY sandbox2, WE HAVE A PROOF!! -- 
% 33.33/33.56  
% 33.33/33.56  ----> UNIT CONFLICT at  33.17 sec ----> 22600 [binary,22599.1,3.1] {-} $F.
% 33.33/33.56  
% 33.33/33.56  Length of proof is 20.  Level of proof is 13.
% 33.33/33.56  
% 33.33/33.56  ---------------- PROOF ----------------
% 33.33/33.56  % SZS status Unsatisfiable
% 33.33/33.56  % SZS output start Refutation
% 33.33/33.56  
% 33.33/33.56  1 [] {-} v_xa!=c_Zorn_Osucc(v_S,v_x,t_a).
% 33.33/33.56  2 [copy,1,flip.1] {+} c_Zorn_Osucc(v_S,v_x,t_a)!=v_xa.
% 33.33/33.56  3 [] {+} -c_lessequals(c_Zorn_Osucc(v_S,v_xa,t_a),c_Zorn_Osucc(v_S,v_x,t_a),tc_set(tc_set(t_a))).
% 33.33/33.56  4 [] {+} c_lessequals(c_Zorn_Osucc(v_S,A,t_a),v_x,tc_set(tc_set(t_a)))|A=v_x| -c_lessequals(A,v_x,tc_set(tc_set(t_a)))| -c_in(A,c_Zorn_OTFin(v_S,t_a),tc_set(tc_set(t_a))).
% 33.33/33.56  5 [] {+} -c_lessequals(A,B,tc_set(C))| -c_lessequals(B,A,tc_set(C))|B=A.
% 33.33/33.56  6 [] {+} -c_in(A,c_Zorn_OTFin(B,C),tc_set(tc_set(C)))| -c_in(D,c_Zorn_OTFin(B,C),tc_set(tc_set(C)))|c_in(c_Zorn_OTFin__linear__lemma1__1(B,A,C),c_Zorn_OTFin(B,C),tc_set(tc_set(C)))|c_lessequals(D,A,tc_set(tc_set(C)))|c_lessequals(c_Zorn_Osucc(B,A,C),D,tc_set(tc_set(C))).
% 33.33/33.56  7 [] {+} -c_in(A,c_Zorn_OTFin(B,C),tc_set(tc_set(C)))| -c_in(D,c_Zorn_OTFin(B,C),tc_set(tc_set(C)))|c_lessequals(D,A,tc_set(tc_set(C)))|c_lessequals(c_Zorn_OTFin__linear__lemma1__1(B,A,C),A,tc_set(tc_set(C)))|c_lessequals(c_Zorn_Osucc(B,A,C),D,tc_set(tc_set(C))).
% 33.33/33.56  8 [] {+} -c_in(A,c_Zorn_OTFin(B,C),tc_set(tc_set(C)))| -c_in(D,c_Zorn_OTFin(B,C),tc_set(tc_set(C)))|c_Zorn_OTFin__linear__lemma1__1(B,A,C)!=A|c_lessequals(D,A,tc_set(tc_set(C)))|c_lessequals(c_Zorn_Osucc(B,A,C),D,tc_set(tc_set(C))).
% 33.33/33.56  9 [] {+} -c_in(A,c_Zorn_OTFin(B,C),tc_set(tc_set(C)))| -c_in(D,c_Zorn_OTFin(B,C),tc_set(tc_set(C)))| -c_lessequals(c_Zorn_Osucc(B,c_Zorn_OTFin__linear__lemma1__1(B,A,C),C),A,tc_set(tc_set(C)))|c_lessequals(D,A,tc_set(tc_set(C)))|c_lessequals(c_Zorn_Osucc(B,A,C),D,tc_set(tc_set(C))).
% 33.33/33.56  10 [] {+} -c_lessequals(A,B,tc_set(tc_set(C)))|c_lessequals(A,c_Zorn_Osucc(D,B,C),tc_set(tc_set(C))).
% 33.33/33.56  17 [] {-} c_in(v_x,c_Zorn_OTFin(v_S,t_a),tc_set(tc_set(t_a))).
% 33.33/33.56  18 [] {+} c_in(v_xa,c_Zorn_OTFin(v_S,t_a),tc_set(tc_set(t_a))).
% 33.33/33.56  19 [] {-} c_lessequals(v_xa,c_Zorn_Osucc(v_S,v_x,t_a),tc_set(tc_set(t_a))).
% 33.33/33.56  20 [] {+} c_lessequals(A,A,tc_set(B)).
% 33.33/33.56  73 [hyper,18,7,17] {+} c_lessequals(v_xa,v_x,tc_set(tc_set(t_a)))|c_lessequals(c_Zorn_OTFin__linear__lemma1__1(v_S,v_x,t_a),v_x,tc_set(tc_set(t_a)))|c_lessequals(c_Zorn_Osucc(v_S,v_x,t_a),v_xa,tc_set(tc_set(t_a))).
% 33.33/33.56  75 [hyper,18,6,17] {+} c_in(c_Zorn_OTFin__linear__lemma1__1(v_S,v_x,t_a),c_Zorn_OTFin(v_S,t_a),tc_set(tc_set(t_a)))|c_lessequals(v_xa,v_x,tc_set(tc_set(t_a)))|c_lessequals(c_Zorn_Osucc(v_S,v_x,t_a),v_xa,tc_set(tc_set(t_a))).
% 33.33/33.56  3986 [hyper,73,5,19,unit_del,2] {+} c_lessequals(v_xa,v_x,tc_set(tc_set(t_a)))|c_lessequals(c_Zorn_OTFin__linear__lemma1__1(v_S,v_x,t_a),v_x,tc_set(tc_set(t_a))).
% 33.33/33.56  4024 [hyper,3986,4,18] {+} c_lessequals(c_Zorn_OTFin__linear__lemma1__1(v_S,v_x,t_a),v_x,tc_set(tc_set(t_a)))|c_lessequals(c_Zorn_Osucc(v_S,v_xa,t_a),v_x,tc_set(tc_set(t_a)))|v_xa=v_x.
% 33.33/33.56  4299 [hyper,75,5,19,unit_del,2] {-} c_in(c_Zorn_OTFin__linear__lemma1__1(v_S,v_x,t_a),c_Zorn_OTFin(v_S,t_a),tc_set(tc_set(t_a)))|c_lessequals(v_xa,v_x,tc_set(tc_set(t_a))).
% 33.33/33.56  4302 [hyper,4299,4,18] {-} c_in(c_Zorn_OTFin__linear__lemma1__1(v_S,v_x,t_a),c_Zorn_OTFin(v_S,t_a),tc_set(tc_set(t_a)))|c_lessequals(c_Zorn_Osucc(v_S,v_xa,t_a),v_x,tc_set(tc_set(t_a)))|v_xa=v_x.
% 33.33/33.56  4475 [para_from,4302.3.1,3.1.1.2,unit_del,20] {-} c_in(c_Zorn_OTFin__linear__lemma1__1(v_S,v_x,t_a),c_Zorn_OTFin(v_S,t_a),tc_set(tc_set(t_a)))|c_lessequals(c_Zorn_Osucc(v_S,v_xa,t_a),v_x,tc_set(tc_set(t_a))).
% 33.33/33.56  4546 [hyper,4475,10] {-} c_in(c_Zorn_OTFin__linear__lemma1__1(v_S,v_x,t_a),c_Zorn_OTFin(v_S,t_a),tc_set(tc_set(t_a)))|c_lessequals(c_Zorn_Osucc(v_S,v_xa,t_a),c_Zorn_Osucc(A,v_x,t_a),tc_set(tc_set(t_a))).
% 33.33/33.56  4641 [hyper,4546,3] {-} c_in(c_Zorn_OTFin__linear__lemma1__1(v_S,v_x,t_a),c_Zorn_OTFin(v_S,t_a),tc_set(tc_set(t_a))).
% 33.33/33.56  6602 [para_from,4024.3.1,3.1.1.2,unit_del,20] {+} c_lessequals(c_Zorn_OTFin__linear__lemma1__1(v_S,v_x,t_a),v_x,tc_set(tc_set(t_a)))|c_lessequals(c_Zorn_Osucc(v_S,v_xa,t_a),v_x,tc_set(tc_set(t_a))).
% 33.33/33.56  6664 [hyper,6602,10] {+} c_lessequals(c_Zorn_OTFin__linear__lemma1__1(v_S,v_x,t_a),v_x,tc_set(tc_set(t_a)))|c_lessequals(c_Zorn_Osucc(v_S,v_xa,t_a),c_Zorn_Osucc(A,v_x,t_a),tc_set(tc_set(t_a))).
% 33.33/33.56  7500 [hyper,6664,3] {+} c_lessequals(c_Zorn_OTFin__linear__lemma1__1(v_S,v_x,t_a),v_x,tc_set(tc_set(t_a))).
% 33.33/33.56  7554 [hyper,7500,4,4641] {+} c_lessequals(c_Zorn_Osucc(v_S,c_Zorn_OTFin__linear__lemma1__1(v_S,v_x,t_a),t_a),v_x,tc_set(tc_set(t_a)))|c_Zorn_OTFin__linear__lemma1__1(v_S,v_x,t_a)=v_x.
% 33.33/33.56  7838 [hyper,7554,8,17,18] {+} c_lessequals(c_Zorn_Osucc(v_S,c_Zorn_OTFin__linear__lemma1__1(v_S,v_x,t_a),t_a),v_x,tc_set(tc_set(t_a)))|c_lessequals(v_xa,v_x,tc_set(tc_set(t_a)))|c_lessequals(c_Zorn_Osucc(v_S,v_x,t_a),v_xa,tc_set(tc_set(t_a))).
% 33.33/33.56  21956 [hyper,7838,9,17,18,factor_simp,factor_simp] {+} c_lessequals(v_xa,v_x,tc_set(tc_set(t_a)))|c_lessequals(c_Zorn_Osucc(v_S,v_x,t_a),v_xa,tc_set(tc_set(t_a))).
% 33.33/33.56  21987 [hyper,21956,5,19,unit_del,2] {-} c_lessequals(v_xa,v_x,tc_set(tc_set(t_a))).
% 33.33/33.56  22014 [hyper,21987,4,18] {-} c_lessequals(c_Zorn_Osucc(v_S,v_xa,t_a),v_x,tc_set(tc_set(t_a)))|v_xa=v_x.
% 33.33/33.56  22596 [para_from,22014.2.1,3.1.1.2,unit_del,20] {-} c_lessequals(c_Zorn_Osucc(v_S,v_xa,t_a),v_x,tc_set(tc_set(t_a))).
% 33.33/33.56  22599 [hyper,22596,10] {-} c_lessequals(c_Zorn_Osucc(v_S,v_xa,t_a),c_Zorn_Osucc(A,v_x,t_a),tc_set(tc_set(t_a))).
% 33.33/33.56  22600 [binary,22599.1,3.1] {-} $F.
% 33.33/33.56  
% 33.33/33.56  % SZS output end Refutation
% 33.33/33.56  ------------ end of proof -------------
% 33.33/33.56  
% 33.33/33.56  
% 33.33/33.56  Search stopped by max_proofs option.
% 33.33/33.56  
% 33.33/33.56  
% 33.33/33.56  Search stopped by max_proofs option.
% 33.33/33.56  
% 33.33/33.56  ============ end of search ============
% 33.33/33.56  
% 33.33/33.56  ----------- soft-scott stats ----------
% 33.33/33.56  
% 33.33/33.56  true clauses given         718      (29.7%)
% 33.33/33.56  false clauses given       1697
% 33.33/33.56  
% 33.33/33.56        FALSE     TRUE
% 33.33/33.56    12  1         1
% 33.33/33.56    15  0         1
% 33.33/33.56    16  3         0
% 33.33/33.56    17  1         0
% 33.33/33.56    18  1         0
% 33.33/33.56    19  4         5
% 33.33/33.56    20  1         1
% 33.33/33.56    21  1         2
% 33.33/33.56    22  6         1
% 33.33/33.56    23  1         0
% 33.33/33.56    24  1         0
% 33.33/33.56    25  1         0
% 33.33/33.56    27  0         9
% 33.33/33.56    28  0         82
% 33.33/33.56    29  0         255
% 33.33/33.56    30  0         168
% 33.33/33.56    31  387       186
% 33.33/33.56    32  635       709
% 33.33/33.56    33  383       396
% 33.33/33.56    34  0         487
% 33.33/33.56    35  0         91
% 33.33/33.56  tot:  1426      2394      (62.7% true)
% 33.33/33.56  
% 33.33/33.56  
% 33.33/33.56  Model 2 (0.00 seconds, 0 Inserts)
% 33.33/33.56  
% 33.33/33.56  That finishes the proof of the theorem.
% 33.33/33.56  
% 33.33/33.56  Process 29432 finished Sat Jul  9 17:58:25 2022
%------------------------------------------------------------------------------