TSTP Solution File: SET649+3 by SOS---2.0

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : SOS---2.0
% Problem  : SET649+3 : TPTP v8.1.0. Released v2.2.0.
% 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 : Tue Jul 19 05:19:48 EDT 2022

% Result   : Theorem 40.83s 41.02s
% Output   : Refutation 40.83s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.11  % Problem  : SET649+3 : TPTP v8.1.0. Released v2.2.0.
% 0.11/0.12  % Command  : sos-script %s
% 0.12/0.33  % Computer : n011.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 : Sun Jul 10 19:51:41 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 sandbox on n011.cluster.edu,
% 0.18/0.35  Sun Jul 10 19:51:41 2022
% 0.18/0.35  The command was "./sos".  The process ID is 23253.
% 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  formula_list(usable).
% 0.18/0.35  
% 0.18/0.35  SCAN INPUT: prop=0, horn=0, equality=1, symmetry=0, max_lits=7.
% 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    Following clause subsumed by 92 during input processing: 0 [] {-} ilf_type($c4,set_type).
% 0.18/0.35    Following clause subsumed by 92 during input processing: 0 [] {-} ilf_type($c3,set_type).
% 0.18/0.35  92 back subsumes 77.
% 0.18/0.35  92 back subsumes 68.
% 0.18/0.35  92 back subsumes 67.
% 0.18/0.35  92 back subsumes 64.
% 0.18/0.35  92 back subsumes 63.
% 0.18/0.35  92 back subsumes 45.
% 0.18/0.35  92 back subsumes 40.
% 0.18/0.35  92 back subsumes 36.
% 0.18/0.35  92 back subsumes 31.
% 0.18/0.35  92 back subsumes 28.
% 0.18/0.35  92 back subsumes 27.
% 0.18/0.35  92 back subsumes 22.
% 0.18/0.35  92 back subsumes 21.
% 0.18/0.35  92 back subsumes 18.
% 0.18/0.35  92 back subsumes 14.
% 0.18/0.35  92 back subsumes 11.
% 0.18/0.35  92 back subsumes 10.
% 0.18/0.35  92 back subsumes 7.
% 0.18/0.35    Following clause subsumed by 96 during input processing: 0 [copy,96,flip.1] {-} A=A.
% 0.18/0.35  
% 0.18/0.35  ======= end of input processing =======
% 0.18/0.40  
% 0.18/0.40  Model 1 (0.00 seconds, 0 Inserts)
% 0.18/0.40  
% 0.18/0.40  Stopped by limit on number of solutions
% 0.18/0.40  
% 0.18/0.40  
% 0.18/0.40  -------------- Softie stats --------------
% 0.18/0.40  
% 0.18/0.40  UPDATE_STOP: 300
% 0.18/0.40  SFINDER_TIME_LIMIT: 2
% 0.18/0.40  SHORT_CLAUSE_CUTOFF: 4
% 0.18/0.40  number of clauses in intial UL: 71
% 0.18/0.40  number of clauses initially in problem: 77
% 0.18/0.40  percentage of clauses intially in UL: 92
% 0.18/0.40  percentage of distinct symbols occuring in initial UL: 96
% 0.18/0.40  percent of all initial clauses that are short: 100
% 0.18/0.40  absolute distinct symbol count: 31
% 0.18/0.40     distinct predicate count: 6
% 0.18/0.40     distinct function count: 19
% 0.18/0.40     distinct constant count: 6
% 0.18/0.40  
% 0.18/0.40  ---------- no more Softie stats ----------
% 0.18/0.40  
% 0.18/0.40  
% 0.18/0.40  
% 0.18/0.40  Model 2 (0.00 seconds, 0 Inserts)
% 0.18/0.40  
% 0.18/0.40  Stopped by limit on number of solutions
% 0.18/0.40  
% 0.18/0.40  =========== start of search ===========
% 4.55/4.79  
% 4.55/4.79  
% 4.55/4.79  Changing weight limit from 60 to 38.
% 4.55/4.79  
% 4.55/4.79  Model 3 (0.00 seconds, 0 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on number of solutions
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 4 [ 2 0 3668 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 5 [ 2 0 2904 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 6 [ 6 1 229 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 7 [ 3 0 799 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 8 [ 2 0 1807 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 9 [ 3 0 1029 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 10 [ 2 1 1115 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 11 [ 6 1 203 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 12 [ 4 0 2457 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 13 [ 3 1 6639 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 14 [ 24 1 1015 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 15 [ 13 1 342 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 16 [ 2 3 33013 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 17 [ 2 1 3006 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 18 [ 5 1 2285 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 19 [ 3 0 1425 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 20 [ 12 1 7269 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 21 [ 6 3 17663 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 22 [ 9 1 5626 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 23 [ 28 1 1370 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Stopped by limit on insertions
% 4.55/4.79  
% 4.55/4.79  Model 24 [ 4 2 8477 ] (0.00 seconds, 250000 Inserts)
% 4.55/4.79  
% 4.55/4.79  Resetting weight limit to 38 after 120 givens.
% 4.55/4.79  
% 9.54/9.76  
% 9.54/9.76  
% 9.54/9.76  Changing weight limit from 38 to 33.
% 9.54/9.76  
% 9.54/9.76  Stopped by limit on insertions
% 9.54/9.76  
% 9.54/9.76  Resetting weight limit to 33 after 240 givens.
% 9.54/9.76  
% 9.94/10.14  
% 9.94/10.14  
% 9.94/10.14  Changing weight limit from 33 to 30.
% 9.94/10.14  
% 9.94/10.14  Resetting weight limit to 30 after 245 givens.
% 9.94/10.14  
% 10.02/10.27  
% 10.02/10.27  
% 10.02/10.27  Changing weight limit from 30 to 29.
% 10.02/10.27  
% 10.02/10.27  Resetting weight limit to 29 after 250 givens.
% 10.02/10.27  
% 10.82/11.01  
% 10.82/11.01  
% 10.82/11.01  Changing weight limit from 29 to 28.
% 10.82/11.01  
% 10.82/11.01  Resetting weight limit to 28 after 255 givens.
% 10.82/11.01  
% 11.05/11.23  
% 11.05/11.23  
% 11.05/11.23  Changing weight limit from 28 to 27.
% 11.05/11.23  
% 11.05/11.23  Resetting weight limit to 27 after 260 givens.
% 11.05/11.23  
% 11.44/11.67  
% 11.44/11.67  
% 11.44/11.67  Changing weight limit from 27 to 26.
% 11.44/11.67  
% 11.44/11.67  Resetting weight limit to 26 after 265 givens.
% 11.44/11.67  
% 12.52/12.75  
% 12.52/12.75  
% 12.52/12.75  Changing weight limit from 26 to 25.
% 12.52/12.75  
% 12.52/12.75  Resetting weight limit to 25 after 275 givens.
% 12.52/12.75  
% 18.55/18.81  
% 18.55/18.81  
% 18.55/18.81  Changing weight limit from 25 to 24.
% 18.55/18.81  
% 18.55/18.81  Stopped by limit on insertions
% 18.55/18.81  
% 18.55/18.81  Model 25 [ 46 1 778 ] (0.00 seconds, 250000 Inserts)
% 18.55/18.81  
% 18.55/18.81  Stopped by limit on insertions
% 18.55/18.81  
% 18.55/18.81  Model 26 [ 13 1 1192 ] (0.00 seconds, 250000 Inserts)
% 18.55/18.81  
% 18.55/18.81  Resetting weight limit to 24 after 340 givens.
% 18.55/18.81  
% 20.60/20.82  
% 20.60/20.82  
% 20.60/20.82  Changing weight limit from 24 to 22.
% 20.60/20.82  
% 20.60/20.82  Resetting weight limit to 22 after 345 givens.
% 20.60/20.82  
% 21.66/21.89  
% 21.66/21.89  
% 21.66/21.89  Changing weight limit from 22 to 21.
% 21.66/21.89  
% 21.66/21.89  Resetting weight limit to 21 after 360 givens.
% 21.66/21.89  
% 22.40/22.64  
% 22.40/22.64  
% 22.40/22.64  Changing weight limit from 21 to 20.
% 22.40/22.64  
% 22.40/22.64  Resetting weight limit to 20 after 370 givens.
% 22.40/22.64  
% 23.33/23.52  
% 23.33/23.52  
% 23.33/23.52  Changing weight limit from 20 to 19.
% 23.33/23.52  
% 23.33/23.52  Resetting weight limit to 19 after 405 givens.
% 23.33/23.52  
% 25.84/26.07  
% 25.84/26.07  
% 25.84/26.07  Changing weight limit from 19 to 18.
% 25.84/26.07  
% 25.84/26.07  Modelling stopped after 300 given clauses and 0.00 seconds
% 25.84/26.07  
% 25.84/26.07  
% 25.84/26.07  Resetting weight limit to 18 after 535 givens.
% 25.84/26.07  
% 40.83/41.02  
% 40.83/41.02  -- HEY sandbox, WE HAVE A PROOF!! -- 
% 40.83/41.02  
% 40.83/41.02  ----> UNIT CONFLICT at  39.69 sec ----> 73921 [binary,73920.1,48.1] {-} $F.
% 40.83/41.02  
% 40.83/41.02  Length of proof is 17.  Level of proof is 10.
% 40.83/41.02  
% 40.83/41.02  ---------------- PROOF ----------------
% 40.83/41.02  % SZS status Theorem
% 40.83/41.02  % SZS output start Refutation
% 40.83/41.02  
% 40.83/41.02  1 [] {+} -ilf_type(A,set_type)| -ilf_type(B,set_type)| -ilf_type(C,set_type)| -subset(A,B)| -subset(B,C)|subset(A,C).
% 40.83/41.02  2 [] {+} -ilf_type(A,binary_relation_type)|subset(A,cross_product(domain_of(A),range_of(A))).
% 40.83/41.02  3 [] {+} -ilf_type(A,set_type)| -ilf_type(B,set_type)| -ilf_type(C,set_type)| -ilf_type(D,set_type)| -subset(A,B)| -subset(C,D)|subset(cross_product(A,C),cross_product(B,D)).
% 40.83/41.02  4 [] {+} -ilf_type(A,set_type)| -ilf_type(B,set_type)| -ilf_type(C,subset_type(cross_product(A,B)))|ilf_type(C,relation_type(A,B)).
% 40.83/41.02  17 [] {+} -ilf_type(A,set_type)| -ilf_type(B,set_type)| -subset(A,B)| -ilf_type(C,set_type)| -member(C,A)|member(C,B).
% 40.83/41.02  24 [] {+} -ilf_type(A,set_type)| -ilf_type(B,set_type)|ilf_type(B,subset_type(A))| -ilf_type(B,member_type(power_set(A))).
% 40.83/41.02  26 [] {+} -ilf_type(A,set_type)|subset(A,A).
% 40.83/41.02  37 [] {+} -ilf_type(A,set_type)| -ilf_type(B,set_type)|member(A,power_set(B))|member($f9(A,B),A).
% 40.83/41.02  38 [] {+} -ilf_type(A,set_type)| -ilf_type(B,set_type)|member(A,power_set(B))| -member($f9(A,B),B).
% 40.83/41.02  42 [] {+} -ilf_type(A,set_type)|empty(B)| -ilf_type(B,set_type)|ilf_type(A,member_type(B))| -member(A,B).
% 40.83/41.02  44 [] {+} -ilf_type(A,set_type)| -empty(A)| -ilf_type(B,set_type)| -member(B,A).
% 40.83/41.02  48 [] {+} -ilf_type($c2,relation_type($c4,$c3)).
% 40.83/41.02  49 [factor,3.1.2] {+} -ilf_type(A,set_type)| -ilf_type(B,set_type)| -ilf_type(C,set_type)| -subset(A,A)| -subset(B,C)|subset(cross_product(A,B),cross_product(A,C)).
% 40.83/41.02  54 [factor,3.3.4] {+} -ilf_type(A,set_type)| -ilf_type(B,set_type)| -ilf_type(C,set_type)| -subset(A,B)| -subset(C,C)|subset(cross_product(A,C),cross_product(B,C)).
% 40.83/41.02  92 [] {+} ilf_type(A,set_type).
% 40.83/41.02  93 [] {-} ilf_type($c2,binary_relation_type).
% 40.83/41.02  94 [] {+} subset(domain_of($c2),$c4).
% 40.83/41.02  95 [] {+} subset(range_of($c2),$c3).
% 40.83/41.02  102 [hyper,92,37,92] {-} member(A,power_set(B))|member($f9(A,B),A).
% 40.83/41.02  104 [hyper,92,26] {+} subset(A,A).
% 40.83/41.02  111 [hyper,93,2] {-} subset($c2,cross_product(domain_of($c2),range_of($c2))).
% 40.83/41.02  129 [hyper,104,54,92,92,92,94] {-} subset(cross_product(domain_of($c2),A),cross_product($c4,A)).
% 40.83/41.02  130 [hyper,104,49,92,92,92,95] {-} subset(cross_product(A,range_of($c2)),cross_product(A,$c3)).
% 40.83/41.02  436 [hyper,130,17,92,92,92,102] {-} member($f9(cross_product(A,range_of($c2)),B),cross_product(A,$c3))|member(cross_product(A,range_of($c2)),power_set(B)).
% 40.83/41.02  450 [hyper,130,1,92,92,92,111] {-} subset($c2,cross_product(domain_of($c2),$c3)).
% 40.83/41.02  683 [hyper,129,1,92,92,92,450] {-} subset($c2,cross_product($c4,$c3)).
% 40.83/41.02  780 [hyper,683,17,92,92,92,102] {-} member($f9($c2,A),cross_product($c4,$c3))|member($c2,power_set(A)).
% 40.83/41.02  2980 [hyper,780,38,92,92,factor_simp] {-} member($c2,power_set(cross_product($c4,$c3))).
% 40.83/41.02  3011 [hyper,2980,42,92,92] {+} empty(power_set(cross_product($c4,$c3)))|ilf_type($c2,member_type(power_set(cross_product($c4,$c3)))).
% 40.83/41.02  58992 [hyper,436,38,92,92,factor_simp] {-} member(cross_product(A,range_of($c2)),power_set(cross_product(A,$c3))).
% 40.83/41.02  73877 [hyper,3011,44,92,92,58992] {+} ilf_type($c2,member_type(power_set(cross_product($c4,$c3)))).
% 40.83/41.02  73890 [hyper,73877,24,92,92] {+} ilf_type($c2,subset_type(cross_product($c4,$c3))).
% 40.83/41.02  73920 [hyper,73890,4,92,92] {-} ilf_type($c2,relation_type($c4,$c3)).
% 40.83/41.02  73921 [binary,73920.1,48.1] {-} $F.
% 40.83/41.02  
% 40.83/41.02  % SZS output end Refutation
% 40.83/41.02  ------------ end of proof -------------
% 40.83/41.02  
% 40.83/41.02  
% 40.83/41.02  Search stopped by max_proofs option.
% 40.83/41.02  
% 40.83/41.02  
% 40.83/41.02  Search stopped by max_proofs option.
% 40.83/41.02  
% 40.83/41.02  ============ end of search ============
% 40.83/41.02  
% 40.83/41.02  ----------- soft-scott stats ----------
% 40.83/41.02  
% 40.83/41.02  true clauses given         560      (33.9%)
% 40.83/41.02  false clauses given       1093
% 40.83/41.02  
% 40.83/41.02        FALSE     TRUE
% 40.83/41.02    12  0         184
% 40.83/41.02    13  0         350
% 40.83/41.02    14  0         565
% 40.83/41.02    15  191       1113
% 40.83/41.02    16  984       288
% 40.83/41.02    17  1227      2
% 40.83/41.02    18  106       13
% 40.83/41.02  tot:  2508      2515      (50.1% true)
% 40.83/41.02  
% 40.83/41.02  
% 40.83/41.02  Model 26 [ 13 1 1192 ] (0.00 seconds, 250000 Inserts)
% 40.83/41.02  
% 40.83/41.02  That finishes the proof of the theorem.
% 40.83/41.02  
% 40.83/41.02  Process 23253 finished Sun Jul 10 19:52:22 2022
%------------------------------------------------------------------------------