TSTP Solution File: SET103+1 by CSE---1.6

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : CSE---1.6
% Problem  : SET103+1 : TPTP v8.1.2. Bugfixed v5.4.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : java -jar /export/starexec/sandbox/solver/bin/mcs_scs.jar %s %d

% Computer : n029.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  : 300s
% DateTime : Thu Aug 31 14:28:45 EDT 2023

% Result   : Theorem 0.71s 0.82s
% Output   : CNFRefutation 0.71s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12  % Problem    : SET103+1 : TPTP v8.1.2. Bugfixed v5.4.0.
% 0.00/0.13  % Command    : java -jar /export/starexec/sandbox/solver/bin/mcs_scs.jar %s %d
% 0.16/0.34  % Computer : n029.cluster.edu
% 0.16/0.34  % Model    : x86_64 x86_64
% 0.16/0.34  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.16/0.34  % Memory   : 8042.1875MB
% 0.16/0.34  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.16/0.34  % CPULimit   : 300
% 0.16/0.34  % WCLimit    : 300
% 0.16/0.34  % DateTime   : Sat Aug 26 13:26:39 EDT 2023
% 0.16/0.34  % CPUTime    : 
% 0.20/0.56  start to proof:theBenchmark
% 0.71/0.81  %-------------------------------------------
% 0.71/0.81  % File        :CSE---1.6
% 0.71/0.81  % Problem     :theBenchmark
% 0.71/0.81  % Transform   :cnf
% 0.71/0.81  % Format      :tptp:raw
% 0.71/0.81  % Command     :java -jar mcs_scs.jar %d %s
% 0.71/0.81  
% 0.71/0.81  % Result      :Theorem 0.180000s
% 0.71/0.81  % Output      :CNFRefutation 0.180000s
% 0.71/0.81  %-------------------------------------------
% 0.71/0.82  %--------------------------------------------------------------------------
% 0.71/0.82  % File     : SET103+1 : TPTP v8.1.2. Bugfixed v5.4.0.
% 0.71/0.82  % Domain   : Set Theory
% 0.71/0.82  % Problem  : Special member 1 of an ordered pair
% 0.71/0.82  % Version  : [Qua92] axioms : Reduced & Augmented > Complete.
% 0.71/0.82  % English  :
% 0.71/0.82  
% 0.71/0.82  % Refs     : [Qua92] Quaife (1992), Automated Deduction in von Neumann-Bern
% 0.71/0.82  %          : [BL+86] Boyer et al. (1986), Set Theory in First-Order Logic:
% 0.71/0.82  % Source   : [Qua92]
% 0.71/0.82  % Names    :
% 0.71/0.82  
% 0.71/0.82  % Status   : Theorem
% 0.71/0.82  % Rating   : 0.42 v8.1.0, 0.44 v7.5.0, 0.50 v7.4.0, 0.37 v7.3.0, 0.48 v7.2.0, 0.45 v7.1.0, 0.48 v7.0.0, 0.47 v6.4.0, 0.54 v6.3.0, 0.50 v6.2.0, 0.52 v6.1.0, 0.57 v6.0.0, 0.52 v5.5.0, 0.63 v5.4.0
% 0.71/0.82  % Syntax   : Number of formulae    :   44 (  16 unt;   0 def)
% 0.71/0.82  %            Number of atoms       :  102 (  20 equ)
% 0.71/0.82  %            Maximal formula atoms :    4 (   2 avg)
% 0.71/0.82  %            Number of connectives :   63 (   5   ~;   4   |;  26   &)
% 0.71/0.82  %                                         (  19 <=>;   9  =>;   0  <=;   0 <~>)
% 0.71/0.82  %            Maximal formula depth :    7 (   4 avg)
% 0.71/0.82  %            Maximal term depth    :    4 (   1 avg)
% 0.71/0.82  %            Number of predicates  :    6 (   5 usr;   0 prp; 1-2 aty)
% 0.71/0.82  %            Number of functors    :   26 (  26 usr;   5 con; 0-3 aty)
% 0.71/0.82  %            Number of variables   :   88 (  83   !;   5   ?)
% 0.71/0.82  % SPC      : FOF_THM_RFO_SEQ
% 0.71/0.82  
% 0.71/0.82  % Comments :
% 0.71/0.82  % Bugfixed : v5.4.0 - Bugfixes to SET005+0 axiom file.
% 0.71/0.82  %--------------------------------------------------------------------------
% 0.71/0.82  %----Include set theory axioms
% 0.71/0.82  include('Axioms/SET005+0.ax').
% 0.71/0.82  %--------------------------------------------------------------------------
% 0.71/0.82  %----OP3: Special Cases
% 0.71/0.82  fof(property_1_of_ordered_pair,conjecture,
% 0.71/0.82      ! [X,Y] :
% 0.71/0.82        ( unordered_pair(singleton(X),unordered_pair(X,null_class)) = ordered_pair(X,Y)
% 0.71/0.82        | member(Y,universal_class) ) ).
% 0.71/0.82  
% 0.71/0.82  %--------------------------------------------------------------------------
% 0.71/0.82  %-------------------------------------------
% 0.71/0.82  % Proof found
% 0.71/0.82  % SZS status Theorem for theBenchmark
% 0.71/0.82  % SZS output start Proof
% 0.71/0.82  %ClaNum:120(EqnAxiom:37)
% 0.71/0.82  %VarNum:607(SingletonVarNum:169)
% 0.71/0.82  %MaxLitNum:4
% 0.71/0.82  %MaxfuncDepth:13
% 0.71/0.82  %SharedTerms:24
% 0.71/0.82  %goalClause: 48 50
% 0.71/0.82  %singleGoalClaCount:2
% 0.71/0.82  [38]P1(a1)
% 0.71/0.82  [39]P2(a8)
% 0.71/0.82  [40]P4(a1,a13)
% 0.71/0.82  [48]~P4(a17,a13)
% 0.71/0.82  [42]P5(a2,f3(a13,a13))
% 0.71/0.82  [43]P5(a14,f3(a13,a13))
% 0.71/0.82  [50]~E(f27(f27(a18,a18),f27(a18,f27(a17,a17))),f27(f27(a18,a18),f27(a18,a20)))
% 0.71/0.82  [41]P5(x411,a13)
% 0.71/0.82  [49]~P4(x491,a20)
% 0.71/0.82  [46]P5(f15(x461),f3(f3(a13,a13),a13))
% 0.71/0.82  [47]P5(f16(x471),f3(f3(a13,a13),a13))
% 0.71/0.82  [44]P4(f27(x441,x442),a13)
% 0.71/0.82  [45]P5(f4(x451,x452),f3(a13,a13))
% 0.71/0.82  [53]~P1(x531)+P5(a1,x531)
% 0.71/0.82  [54]~P1(x541)+P4(a20,x541)
% 0.71/0.82  [55]E(x551,a20)+P4(f9(x551),a13)
% 0.71/0.82  [56]P4(f9(x561),x561)+E(x561,a20)
% 0.71/0.82  [57]P3(f9(x571),x571)+E(x571,a20)
% 0.71/0.82  [58]~P4(x581,a13)+P4(f25(x581),a13)
% 0.71/0.82  [59]~P4(x591,a13)+P4(f23(x591),a13)
% 0.71/0.82  [60]~P4(x601,a21)+P4(f10(x601),a13)
% 0.71/0.82  [61]~P2(x611)+P5(x611,f3(a13,a13))
% 0.71/0.82  [92]~P4(x921,a21)+E(f27(f27(f10(x921),f10(x921)),f27(f10(x921),f27(f10(x921),f10(x921)))),x921)
% 0.71/0.82  [93]~P2(x931)+P5(f4(x931,f6(f16(f3(x931,a13)))),a21)
% 0.71/0.82  [109]~P1(x1091)+P5(f6(f6(f16(f3(f22(a14,f3(x1091,a13)),a13)))),x1091)
% 0.71/0.82  [52]~E(x521,x522)+P5(x521,x522)
% 0.71/0.82  [62]P4(x621,a13)+~P4(x621,f5(x622))
% 0.71/0.82  [63]P4(x631,a13)+~P4(x631,f6(x632))
% 0.71/0.82  [64]P4(x641,a13)+~P4(x641,f23(x642))
% 0.71/0.82  [65]P5(x651,x652)+~P4(x651,f23(x652))
% 0.71/0.82  [67]P5(x671,x672)+P4(f7(x671,x672),x671)
% 0.71/0.82  [68]P3(x681,x682)+P4(f12(x681,x682),x682)
% 0.71/0.82  [69]P3(x691,x692)+P4(f12(x691,x692),x691)
% 0.71/0.82  [70]~P4(x701,x702)+~P4(x701,f5(x702))
% 0.71/0.82  [81]~P4(x811,f25(x812))+P4(x811,f11(x811,x812))
% 0.71/0.82  [82]~P4(x821,f25(x822))+P4(f11(x821,x822),x822)
% 0.71/0.82  [86]P5(x861,x862)+~P4(f7(x861,x862),x862)
% 0.71/0.82  [90]~P4(x902,f6(x901))+~E(f22(x901,f3(f27(x902,x902),a13)),a20)
% 0.71/0.82  [100]P4(x1001,a13)+~P4(f27(f27(x1002,x1002),f27(x1002,f27(x1001,x1001))),a2)
% 0.71/0.82  [101]P4(x1011,a13)+~P4(f27(f27(x1012,x1012),f27(x1012,f27(x1011,x1011))),a14)
% 0.71/0.82  [102]P4(x1021,a13)+~P4(f27(f27(x1021,x1021),f27(x1021,f27(x1022,x1022))),a14)
% 0.71/0.82  [103]P4(x1031,x1032)+~P4(f27(f27(x1031,x1031),f27(x1031,f27(x1032,x1032))),a2)
% 0.71/0.82  [104]E(f26(x1041,f27(x1041,x1041)),x1042)+~P4(f27(f27(x1041,x1041),f27(x1041,f27(x1042,x1042))),a14)
% 0.71/0.82  [73]~P4(x731,x733)+P4(x731,f26(x732,x733))
% 0.71/0.82  [74]~P4(x741,x742)+P4(x741,f26(x742,x743))
% 0.71/0.82  [83]P4(x831,a13)+~P4(x831,f27(x832,x833))
% 0.71/0.82  [84]P4(x841,x842)+~P4(x841,f22(x843,x842))
% 0.71/0.82  [85]P4(x851,x852)+~P4(x851,f22(x852,x853))
% 0.71/0.82  [94]~P4(x941,f3(x942,x943))+E(f27(f27(f19(x941),f19(x941)),f27(f19(x941),f27(f24(x941),f24(x941)))),x941)
% 0.71/0.82  [105]P4(x1051,a13)+~P4(f27(f27(x1051,x1051),f27(x1051,f27(x1052,x1052))),f4(x1053,x1054))
% 0.71/0.82  [106]P4(x1061,x1062)+~P4(f27(f27(x1063,x1063),f27(x1063,f27(x1061,x1061))),f3(x1064,x1062))
% 0.71/0.82  [107]P4(x1071,x1072)+~P4(f27(f27(x1071,x1071),f27(x1071,f27(x1073,x1073))),f3(x1072,x1074))
% 0.71/0.82  [113]~P4(f27(f27(f27(f27(x1133,x1133),f27(x1133,f27(x1131,x1131))),f27(f27(x1133,x1133),f27(x1133,f27(x1131,x1131)))),f27(f27(f27(x1133,x1133),f27(x1133,f27(x1131,x1131))),f27(x1132,x1132))),f15(x1134))+P4(f27(f27(f27(f27(x1131,x1131),f27(x1131,f27(x1132,x1132))),f27(f27(x1131,x1131),f27(x1131,f27(x1132,x1132)))),f27(f27(f27(x1131,x1131),f27(x1131,f27(x1132,x1132))),f27(x1133,x1133))),x1134)
% 0.71/0.82  [114]~P4(f27(f27(f27(f27(x1142,x1142),f27(x1142,f27(x1141,x1141))),f27(f27(x1142,x1142),f27(x1142,f27(x1141,x1141)))),f27(f27(f27(x1142,x1142),f27(x1142,f27(x1141,x1141))),f27(x1143,x1143))),f16(x1144))+P4(f27(f27(f27(f27(x1141,x1141),f27(x1141,f27(x1142,x1142))),f27(f27(x1141,x1141),f27(x1141,f27(x1142,x1142)))),f27(f27(f27(x1141,x1141),f27(x1141,f27(x1142,x1142))),f27(x1143,x1143))),x1144)
% 0.71/0.82  [115]~P4(f27(f27(f27(f27(x1151,x1151),f27(x1151,f27(x1152,x1152))),f27(f27(x1151,x1151),f27(x1151,f27(x1152,x1152)))),f27(f27(f27(x1151,x1151),f27(x1151,f27(x1152,x1152))),f27(x1153,x1153))),f15(x1154))+P4(f27(f27(f27(f27(x1151,x1151),f27(x1151,f27(x1152,x1152))),f27(f27(x1151,x1151),f27(x1151,f27(x1152,x1152)))),f27(f27(f27(x1151,x1151),f27(x1151,f27(x1152,x1152))),f27(x1153,x1153))),f3(f3(a13,a13),a13))
% 0.71/0.82  [116]~P4(f27(f27(f27(f27(x1161,x1161),f27(x1161,f27(x1162,x1162))),f27(f27(x1161,x1161),f27(x1161,f27(x1162,x1162)))),f27(f27(f27(x1161,x1161),f27(x1161,f27(x1162,x1162))),f27(x1163,x1163))),f16(x1164))+P4(f27(f27(f27(f27(x1161,x1161),f27(x1161,f27(x1162,x1162))),f27(f27(x1161,x1161),f27(x1161,f27(x1162,x1162)))),f27(f27(f27(x1161,x1161),f27(x1161,f27(x1162,x1162))),f27(x1163,x1163))),f3(f3(a13,a13),a13))
% 0.71/0.82  [119]~P4(f27(f27(x1194,x1194),f27(x1194,f27(x1191,x1191))),f4(x1192,x1193))+P4(x1191,f6(f6(f16(f3(f22(x1192,f3(f6(f6(f16(f3(f22(x1193,f3(f27(x1194,x1194),a13)),a13)))),a13)),a13)))))
% 0.71/0.82  [108]P2(x1081)+~P5(x1081,f3(a13,a13))+~P5(f4(x1081,f6(f16(f3(x1081,a13)))),a21)
% 0.71/0.82  [111]P1(x1111)+~P4(a20,x1111)+~P5(f6(f6(f16(f3(f22(a14,f3(x1111,a13)),a13)))),x1111)
% 0.71/0.82  [112]~P4(x1121,a13)+E(x1121,a20)+P4(f25(f6(f6(f16(f3(f22(a8,f3(f27(x1121,x1121),a13)),a13))))),x1121)
% 0.71/0.82  [66]~P5(x662,x661)+~P5(x661,x662)+E(x661,x662)
% 0.71/0.82  [71]P4(x711,x712)+P4(x711,f5(x712))+~P4(x711,a13)
% 0.71/0.82  [75]~P5(x751,x752)+~P4(x751,a13)+P4(x751,f23(x752))
% 0.71/0.82  [89]P4(x892,f6(x891))+~P4(x892,a13)+E(f22(x891,f3(f27(x892,x892),a13)),a20)
% 0.71/0.82  [91]~P4(x912,a13)+P4(x911,a21)+~E(x911,f27(f27(x912,x912),f27(x912,f27(x912,x912))))
% 0.71/0.82  [97]~P4(x971,x972)+~P4(x972,a13)+P4(f27(f27(x971,x971),f27(x971,f27(x972,x972))),a2)
% 0.71/0.82  [95]~P4(x952,a13)+~P4(x951,a13)+E(f19(f27(f27(x951,x951),f27(x951,f27(x952,x952)))),x951)
% 0.71/0.82  [96]~P4(x962,a13)+~P4(x961,a13)+E(f24(f27(f27(x961,x961),f27(x961,f27(x962,x962)))),x962)
% 0.71/0.82  [110]~P2(x1101)+~P4(x1102,a13)+P4(f6(f6(f16(f3(f22(x1101,f3(x1102,a13)),a13)))),a13)
% 0.71/0.82  [72]~P4(x721,x723)+P4(x721,x722)+~P5(x723,x722)
% 0.71/0.82  [80]~P3(x803,x802)+~P4(x801,x802)+~P4(x801,x803)
% 0.71/0.82  [76]~E(x761,x763)+~P4(x761,a13)+P4(x761,f27(x762,x763))
% 0.71/0.82  [77]~E(x771,x772)+~P4(x771,a13)+P4(x771,f27(x772,x773))
% 0.71/0.82  [78]~P4(x781,x783)+~P4(x783,x782)+P4(x781,f25(x782))
% 0.71/0.82  [79]E(x791,x792)+E(x791,x793)+~P4(x791,f27(x793,x792))
% 0.71/0.82  [87]~P4(x871,x873)+~P4(x871,x872)+P4(x871,f22(x872,x873))
% 0.71/0.82  [88]P4(x881,x882)+P4(x881,x883)+~P4(x881,f26(x883,x882))
% 0.71/0.82  [98]~P4(x982,x984)+~P4(x981,x983)+P4(f27(f27(x981,x981),f27(x981,f27(x982,x982))),f3(x983,x984))
% 0.71/0.82  [117]~P4(f27(f27(f27(f27(x1172,x1172),f27(x1172,f27(x1173,x1173))),f27(f27(x1172,x1172),f27(x1172,f27(x1173,x1173)))),f27(f27(f27(x1172,x1172),f27(x1172,f27(x1173,x1173))),f27(x1171,x1171))),x1174)+P4(f27(f27(f27(f27(x1171,x1171),f27(x1171,f27(x1172,x1172))),f27(f27(x1171,x1171),f27(x1171,f27(x1172,x1172)))),f27(f27(f27(x1171,x1171),f27(x1171,f27(x1172,x1172))),f27(x1173,x1173))),f15(x1174))+~P4(f27(f27(f27(f27(x1171,x1171),f27(x1171,f27(x1172,x1172))),f27(f27(x1171,x1171),f27(x1171,f27(x1172,x1172)))),f27(f27(f27(x1171,x1171),f27(x1171,f27(x1172,x1172))),f27(x1173,x1173))),f3(f3(a13,a13),a13))
% 0.71/0.82  [118]~P4(f27(f27(f27(f27(x1182,x1182),f27(x1182,f27(x1181,x1181))),f27(f27(x1182,x1182),f27(x1182,f27(x1181,x1181)))),f27(f27(f27(x1182,x1182),f27(x1182,f27(x1181,x1181))),f27(x1183,x1183))),x1184)+P4(f27(f27(f27(f27(x1181,x1181),f27(x1181,f27(x1182,x1182))),f27(f27(x1181,x1181),f27(x1181,f27(x1182,x1182)))),f27(f27(f27(x1181,x1181),f27(x1181,f27(x1182,x1182))),f27(x1183,x1183))),f16(x1184))+~P4(f27(f27(f27(f27(x1181,x1181),f27(x1181,f27(x1182,x1182))),f27(f27(x1181,x1181),f27(x1181,f27(x1182,x1182)))),f27(f27(f27(x1181,x1181),f27(x1181,f27(x1182,x1182))),f27(x1183,x1183))),f3(f3(a13,a13),a13))
% 0.71/0.82  [120]~P4(x1201,a13)+P4(f27(f27(x1201,x1201),f27(x1201,f27(x1202,x1202))),f4(x1203,x1204))+~P4(x1202,f6(f6(f16(f3(f22(x1203,f3(f6(f6(f16(f3(f22(x1204,f3(f27(x1201,x1201),a13)),a13)))),a13)),a13)))))
% 0.71/0.82  [99]~P4(x992,a13)+~P4(x991,a13)+~E(f26(x991,f27(x991,x991)),x992)+P4(f27(f27(x991,x991),f27(x991,f27(x992,x992))),a14)
% 0.71/0.82  %EqnAxiom
% 0.71/0.82  [1]E(x11,x11)
% 0.71/0.83  [2]E(x22,x21)+~E(x21,x22)
% 0.71/0.83  [3]E(x31,x33)+~E(x31,x32)+~E(x32,x33)
% 0.71/0.83  [4]~E(x41,x42)+E(f3(x41,x43),f3(x42,x43))
% 0.71/0.83  [5]~E(x51,x52)+E(f3(x53,x51),f3(x53,x52))
% 0.71/0.83  [6]~E(x61,x62)+E(f6(x61),f6(x62))
% 0.71/0.83  [7]~E(x71,x72)+E(f27(x71,x73),f27(x72,x73))
% 0.71/0.83  [8]~E(x81,x82)+E(f27(x83,x81),f27(x83,x82))
% 0.71/0.83  [9]~E(x91,x92)+E(f4(x91,x93),f4(x92,x93))
% 0.71/0.83  [10]~E(x101,x102)+E(f4(x103,x101),f4(x103,x102))
% 0.71/0.83  [11]~E(x111,x112)+E(f16(x111),f16(x112))
% 0.71/0.83  [12]~E(x121,x122)+E(f15(x121),f15(x122))
% 0.71/0.83  [13]~E(x131,x132)+E(f24(x131),f24(x132))
% 0.71/0.83  [14]~E(x141,x142)+E(f22(x141,x143),f22(x142,x143))
% 0.71/0.83  [15]~E(x151,x152)+E(f22(x153,x151),f22(x153,x152))
% 0.71/0.83  [16]~E(x161,x162)+E(f26(x161,x163),f26(x162,x163))
% 0.71/0.83  [17]~E(x171,x172)+E(f26(x173,x171),f26(x173,x172))
% 0.71/0.83  [18]~E(x181,x182)+E(f19(x181),f19(x182))
% 0.71/0.83  [19]~E(x191,x192)+E(f25(x191),f25(x192))
% 0.71/0.83  [20]~E(x201,x202)+E(f10(x201),f10(x202))
% 0.71/0.83  [21]~E(x211,x212)+E(f5(x211),f5(x212))
% 0.71/0.83  [22]~E(x221,x222)+E(f11(x221,x223),f11(x222,x223))
% 0.71/0.83  [23]~E(x231,x232)+E(f11(x233,x231),f11(x233,x232))
% 0.71/0.83  [24]~E(x241,x242)+E(f12(x241,x243),f12(x242,x243))
% 0.71/0.83  [25]~E(x251,x252)+E(f12(x253,x251),f12(x253,x252))
% 0.71/0.83  [26]~E(x261,x262)+E(f23(x261),f23(x262))
% 0.71/0.83  [27]~E(x271,x272)+E(f7(x271,x273),f7(x272,x273))
% 0.71/0.83  [28]~E(x281,x282)+E(f7(x283,x281),f7(x283,x282))
% 0.71/0.83  [29]~E(x291,x292)+E(f9(x291),f9(x292))
% 0.71/0.83  [30]~P1(x301)+P1(x302)+~E(x301,x302)
% 0.71/0.83  [31]~P2(x311)+P2(x312)+~E(x311,x312)
% 0.71/0.83  [32]P4(x322,x323)+~E(x321,x322)+~P4(x321,x323)
% 0.71/0.83  [33]P4(x333,x332)+~E(x331,x332)+~P4(x333,x331)
% 0.71/0.83  [34]P5(x342,x343)+~E(x341,x342)+~P5(x341,x343)
% 0.71/0.83  [35]P5(x353,x352)+~E(x351,x352)+~P5(x353,x351)
% 0.71/0.83  [36]P3(x362,x363)+~E(x361,x362)+~P3(x361,x363)
% 0.71/0.83  [37]P3(x373,x372)+~E(x371,x372)+~P3(x373,x371)
% 0.71/0.83  
% 0.71/0.83  %-------------------------------------------
% 0.71/0.83  cnf(121,plain,
% 0.71/0.83     (~P1(a20)),
% 0.71/0.83     inference(scs_inference,[],[49,54])).
% 0.71/0.83  cnf(122,plain,
% 0.71/0.83     (~P4(x1221,a20)),
% 0.71/0.83     inference(rename_variables,[],[49])).
% 0.71/0.83  cnf(131,plain,
% 0.71/0.83     (~E(f27(a18,f27(a17,a17)),f27(a18,a20))),
% 0.71/0.83     inference(scs_inference,[],[48,49,50,54,83,64,63,62,8])).
% 0.71/0.83  cnf(133,plain,
% 0.71/0.83     (~P4(x1331,a20)),
% 0.71/0.83     inference(rename_variables,[],[49])).
% 0.71/0.83  cnf(135,plain,
% 0.71/0.83     (P3(x1351,a20)),
% 0.71/0.83     inference(scs_inference,[],[48,49,122,133,50,54,83,64,63,62,8,69,68])).
% 0.71/0.83  cnf(136,plain,
% 0.71/0.83     (~P4(x1361,a20)),
% 0.71/0.83     inference(rename_variables,[],[49])).
% 0.71/0.83  cnf(138,plain,
% 0.71/0.83     (P5(a20,x1381)),
% 0.71/0.83     inference(scs_inference,[],[48,49,122,133,136,50,54,83,64,63,62,8,69,68,67])).
% 0.71/0.83  cnf(139,plain,
% 0.71/0.83     (~P4(x1391,a20)),
% 0.71/0.83     inference(rename_variables,[],[49])).
% 0.71/0.83  cnf(141,plain,
% 0.71/0.83     (~P4(x1411,f25(a20))),
% 0.71/0.83     inference(scs_inference,[],[48,49,122,133,136,139,50,54,83,64,63,62,8,69,68,67,82])).
% 0.71/0.83  cnf(142,plain,
% 0.71/0.83     (~P4(x1421,a20)),
% 0.71/0.83     inference(rename_variables,[],[49])).
% 0.71/0.83  cnf(147,plain,
% 0.71/0.83     (~P4(x1471,a20)),
% 0.71/0.83     inference(rename_variables,[],[49])).
% 0.71/0.83  cnf(150,plain,
% 0.71/0.83     (~P4(x1501,a20)),
% 0.71/0.83     inference(rename_variables,[],[49])).
% 0.71/0.83  cnf(153,plain,
% 0.71/0.83     (~P4(x1531,a20)),
% 0.71/0.83     inference(rename_variables,[],[49])).
% 0.71/0.83  cnf(158,plain,
% 0.71/0.83     (~E(f27(f27(a18,a18),f27(a18,a20)),f27(f27(a18,a18),f27(a18,f27(a17,a17))))),
% 0.71/0.83     inference(scs_inference,[],[48,41,49,122,133,136,139,142,147,150,40,50,54,83,64,63,62,8,69,68,67,82,119,114,113,33,32,75,2])).
% 0.71/0.83  cnf(159,plain,
% 0.71/0.83     (P5(a1,a1)),
% 0.71/0.83     inference(scs_inference,[],[48,41,49,122,133,136,139,142,147,150,38,40,50,54,83,64,63,62,8,69,68,67,82,119,114,113,33,32,75,2,53])).
% 0.71/0.83  cnf(173,plain,
% 0.71/0.83     (~P4(a1,f5(a13))),
% 0.71/0.83     inference(scs_inference,[],[48,41,49,122,133,136,139,142,147,150,38,39,40,50,54,83,64,63,62,8,69,68,67,82,119,114,113,33,32,75,2,53,61,109,85,84,74,73,70])).
% 0.71/0.83  cnf(175,plain,
% 0.71/0.83     (P4(f23(a1),a13)),
% 0.71/0.83     inference(scs_inference,[],[48,41,49,122,133,136,139,142,147,150,38,39,40,50,54,83,64,63,62,8,69,68,67,82,119,114,113,33,32,75,2,53,61,109,85,84,74,73,70,59])).
% 0.71/0.83  cnf(179,plain,
% 0.71/0.83     (E(f25(a20),a20)),
% 0.71/0.83     inference(scs_inference,[],[48,41,49,122,133,136,139,142,147,150,38,39,40,50,54,83,64,63,62,8,69,68,67,82,119,114,113,33,32,75,2,53,61,109,85,84,74,73,70,59,58,56])).
% 0.71/0.83  cnf(184,plain,
% 0.71/0.83     (E(f7(x1841,f25(a20)),f7(x1841,a20))),
% 0.71/0.83     inference(scs_inference,[],[48,41,49,122,133,136,139,142,147,150,38,39,40,50,54,83,64,63,62,8,69,68,67,82,119,114,113,33,32,75,2,53,61,109,85,84,74,73,70,59,58,56,55,29,28])).
% 0.71/0.83  cnf(185,plain,
% 0.71/0.83     (E(f7(f25(a20),x1851),f7(a20,x1851))),
% 0.71/0.83     inference(scs_inference,[],[48,41,49,122,133,136,139,142,147,150,38,39,40,50,54,83,64,63,62,8,69,68,67,82,119,114,113,33,32,75,2,53,61,109,85,84,74,73,70,59,58,56,55,29,28,27])).
% 0.71/0.83  cnf(193,plain,
% 0.71/0.83     (E(f25(f25(a20)),f25(a20))),
% 0.71/0.83     inference(scs_inference,[],[48,41,49,122,133,136,139,142,147,150,38,39,40,50,54,83,64,63,62,8,69,68,67,82,119,114,113,33,32,75,2,53,61,109,85,84,74,73,70,59,58,56,55,29,28,27,26,25,24,23,22,21,20,19])).
% 0.71/0.83  cnf(225,plain,
% 0.71/0.83     (~E(a1,a20)),
% 0.71/0.83     inference(scs_inference,[],[48,41,49,122,133,136,139,142,147,150,38,39,40,50,54,83,64,63,62,8,69,68,67,82,119,114,113,33,32,75,2,53,61,109,85,84,74,73,70,59,58,56,55,29,28,27,26,25,24,23,22,21,20,19,18,17,16,15,14,13,12,11,10,9,7,6,5,4,101,100,93,106,105,102,107,103,31,30])).
% 0.71/0.83  cnf(227,plain,
% 0.71/0.83     (~P5(a13,a20)),
% 0.71/0.83     inference(scs_inference,[],[48,41,49,122,133,136,139,142,147,150,153,38,39,40,50,54,83,64,63,62,8,69,68,67,82,119,114,113,33,32,75,2,53,61,109,85,84,74,73,70,59,58,56,55,29,28,27,26,25,24,23,22,21,20,19,18,17,16,15,14,13,12,11,10,9,7,6,5,4,101,100,93,106,105,102,107,103,31,30,3,72])).
% 0.71/0.83  cnf(228,plain,
% 0.71/0.83     (~P4(x2281,a20)),
% 0.71/0.83     inference(rename_variables,[],[49])).
% 0.71/0.83  cnf(230,plain,
% 0.71/0.83     (~P5(a1,a20)),
% 0.71/0.83     inference(scs_inference,[],[48,41,49,122,133,136,139,142,147,150,153,38,39,40,50,54,83,64,63,62,8,69,68,67,82,119,114,113,33,32,75,2,53,61,109,85,84,74,73,70,59,58,56,55,29,28,27,26,25,24,23,22,21,20,19,18,17,16,15,14,13,12,11,10,9,7,6,5,4,101,100,93,106,105,102,107,103,31,30,3,72,66])).
% 0.71/0.83  cnf(241,plain,
% 0.71/0.83     (~P4(f27(f27(a18,a18),f27(a18,f27(a17,a17))),f27(f27(f27(a18,a18),f27(a18,a20)),f27(f27(a18,a18),f27(a18,a20))))),
% 0.71/0.83     inference(scs_inference,[],[48,41,49,122,133,136,139,142,147,150,153,228,38,39,40,50,54,83,64,63,62,8,69,68,67,82,119,114,113,33,32,75,2,53,61,109,85,84,74,73,70,59,58,56,55,29,28,27,26,25,24,23,22,21,20,19,18,17,16,15,14,13,12,11,10,9,7,6,5,4,101,100,93,106,105,102,107,103,31,30,3,72,66,71,110,88,87,79])).
% 0.71/0.83  cnf(247,plain,
% 0.71/0.83     (E(f19(f27(f27(a1,a1),f27(a1,f27(a1,a1)))),a1)),
% 0.71/0.83     inference(scs_inference,[],[48,41,49,122,133,136,139,142,147,150,153,228,38,39,40,50,54,83,64,63,62,8,69,68,67,82,119,114,113,33,32,75,2,53,61,109,85,84,74,73,70,59,58,56,55,29,28,27,26,25,24,23,22,21,20,19,18,17,16,15,14,13,12,11,10,9,7,6,5,4,101,100,93,106,105,102,107,103,31,30,3,72,66,71,110,88,87,79,112,96,95])).
% 0.71/0.83  cnf(249,plain,
% 0.71/0.83     (P4(f27(f27(a1,a1),f27(a1,f27(a1,a1))),f3(a13,a13))),
% 0.71/0.83     inference(scs_inference,[],[48,41,49,122,133,136,139,142,147,150,153,228,38,39,40,50,54,83,64,63,62,8,69,68,67,82,119,114,113,33,32,75,2,53,61,109,85,84,74,73,70,59,58,56,55,29,28,27,26,25,24,23,22,21,20,19,18,17,16,15,14,13,12,11,10,9,7,6,5,4,101,100,93,106,105,102,107,103,31,30,3,72,66,71,110,88,87,79,112,96,95,98])).
% 0.71/0.83  cnf(251,plain,
% 0.71/0.83     (P3(f9(a13),a13)),
% 0.71/0.83     inference(scs_inference,[],[48,41,49,122,133,136,139,142,147,150,153,228,38,39,40,50,54,83,64,63,62,8,69,68,67,82,119,114,113,33,32,75,2,53,61,109,85,84,74,73,70,59,58,56,55,29,28,27,26,25,24,23,22,21,20,19,18,17,16,15,14,13,12,11,10,9,7,6,5,4,101,100,93,106,105,102,107,103,31,30,3,72,66,71,110,88,87,79,112,96,95,98,57])).
% 0.71/0.83  cnf(255,plain,
% 0.71/0.83     (~P4(f27(f27(f27(f27(x2551,x2551),f27(x2551,f27(x2552,x2552))),f27(f27(x2551,x2551),f27(x2551,f27(x2552,x2552)))),f27(f27(f27(x2551,x2551),f27(x2551,f27(x2552,x2552))),f27(a17,a17))),f15(x2553))),
% 0.71/0.83     inference(scs_inference,[],[48,41,49,122,133,136,139,142,147,150,153,228,38,39,40,50,54,83,64,63,62,8,69,68,67,82,119,114,113,33,32,75,2,53,61,109,85,84,74,73,70,59,58,56,55,29,28,27,26,25,24,23,22,21,20,19,18,17,16,15,14,13,12,11,10,9,7,6,5,4,101,100,93,106,105,102,107,103,31,30,3,72,66,71,110,88,87,79,112,96,95,98,57,116,115])).
% 0.71/0.83  cnf(257,plain,
% 0.71/0.83     (~P5(a13,f25(a20))),
% 0.71/0.83     inference(scs_inference,[],[48,41,49,122,133,136,139,142,147,150,153,228,38,39,40,50,54,83,64,63,62,8,69,68,67,82,119,114,113,33,32,75,2,53,61,109,85,84,74,73,70,59,58,56,55,29,28,27,26,25,24,23,22,21,20,19,18,17,16,15,14,13,12,11,10,9,7,6,5,4,101,100,93,106,105,102,107,103,31,30,3,72,66,71,110,88,87,79,112,96,95,98,57,116,115,35])).
% 0.71/0.83  cnf(258,plain,
% 0.71/0.83     (~P3(a13,a13)),
% 0.71/0.83     inference(scs_inference,[],[48,41,49,122,133,136,139,142,147,150,153,228,38,39,40,50,54,83,64,63,62,8,69,68,67,82,119,114,113,33,32,75,2,53,61,109,85,84,74,73,70,59,58,56,55,29,28,27,26,25,24,23,22,21,20,19,18,17,16,15,14,13,12,11,10,9,7,6,5,4,101,100,93,106,105,102,107,103,31,30,3,72,66,71,110,88,87,79,112,96,95,98,57,116,115,35,80])).
% 0.71/0.83  cnf(260,plain,
% 0.71/0.83     (P4(f25(f6(f6(f16(f3(f22(a8,f3(f27(a1,a1),a13)),a13))))),f25(a13))),
% 0.71/0.83     inference(scs_inference,[],[48,41,49,122,133,136,139,142,147,150,153,228,38,39,40,50,54,83,64,63,62,8,69,68,67,82,119,114,113,33,32,75,2,53,61,109,85,84,74,73,70,59,58,56,55,29,28,27,26,25,24,23,22,21,20,19,18,17,16,15,14,13,12,11,10,9,7,6,5,4,101,100,93,106,105,102,107,103,31,30,3,72,66,71,110,88,87,79,112,96,95,98,57,116,115,35,80,78])).
% 0.71/0.83  cnf(271,plain,
% 0.71/0.83     (P5(f7(x2711,f25(a20)),f7(x2711,a20))),
% 0.71/0.83     inference(scs_inference,[],[184,52])).
% 0.71/0.83  cnf(286,plain,
% 0.71/0.83     (P4(f7(a13,a20),a13)),
% 0.71/0.83     inference(scs_inference,[],[40,249,184,260,135,225,227,251,258,52,65,81,94,37,36,34,91,56,67])).
% 0.71/0.83  cnf(296,plain,
% 0.71/0.83     (~P3(f3(a13,a13),f3(a13,a13))),
% 0.71/0.83     inference(scs_inference,[],[44,38,39,40,249,184,260,135,225,227,251,258,52,65,81,94,37,36,34,91,56,67,82,110,87,54,80])).
% 0.71/0.83  cnf(298,plain,
% 0.71/0.83     (~P4(a17,x2981)),
% 0.71/0.83     inference(scs_inference,[],[48,44,41,38,39,40,249,184,260,135,225,227,251,258,52,65,81,94,37,36,34,91,56,67,82,110,87,54,80,72])).
% 0.71/0.83  cnf(301,plain,
% 0.71/0.83     (~P1(f25(a20))),
% 0.71/0.83     inference(scs_inference,[],[48,44,41,38,39,40,249,184,260,135,225,227,179,251,121,258,52,65,81,94,37,36,34,91,56,67,82,110,87,54,80,72,32,30])).
% 0.71/0.83  cnf(303,plain,
% 0.71/0.83     (E(f7(x3031,f25(a20)),f7(x3031,a20))),
% 0.71/0.83     inference(rename_variables,[],[184])).
% 0.71/0.83  cnf(304,plain,
% 0.71/0.83     (E(f7(f25(a20),x3041),f7(a20,x3041))),
% 0.71/0.83     inference(rename_variables,[],[185])).
% 0.71/0.83  cnf(307,plain,
% 0.71/0.83     (~P4(f27(f27(a18,a18),f27(a18,a20)),f27(f27(f27(a18,a18),f27(a18,f27(a17,a17))),f27(f27(a18,a18),f27(a18,f27(a17,a17)))))),
% 0.71/0.83     inference(scs_inference,[],[48,44,41,38,39,40,255,249,184,185,158,260,135,225,227,179,251,121,258,52,65,81,94,37,36,34,91,56,67,82,110,87,54,80,72,32,30,3,88,79])).
% 0.71/0.83  cnf(309,plain,
% 0.71/0.83     (E(f24(f27(f27(f27(x3091,x3092),f27(x3091,x3092)),f27(f27(x3091,x3092),f27(f27(x3091,x3092),f27(x3091,x3092))))),f27(x3091,x3092))),
% 0.71/0.83     inference(scs_inference,[],[48,44,41,38,39,40,255,249,184,185,158,260,135,225,227,179,251,121,258,52,65,81,94,37,36,34,91,56,67,82,110,87,54,80,72,32,30,3,88,79,96])).
% 0.71/0.83  cnf(311,plain,
% 0.71/0.83     (E(f19(f27(f27(f27(x3111,x3112),f27(x3111,x3112)),f27(f27(x3111,x3112),f27(f27(x3111,x3112),f27(x3111,x3112))))),f27(x3111,x3112))),
% 0.71/0.83     inference(scs_inference,[],[48,44,41,38,39,40,255,249,184,185,158,260,135,225,227,179,251,121,258,52,65,81,94,37,36,34,91,56,67,82,110,87,54,80,72,32,30,3,88,79,96,95])).
% 0.71/0.83  cnf(315,plain,
% 0.71/0.83     (P4(f12(f3(a13,a13),f3(a13,a13)),f3(a13,a13))),
% 0.71/0.83     inference(scs_inference,[],[48,44,41,38,39,40,255,249,184,185,158,260,135,225,227,179,251,121,258,52,65,81,94,37,36,34,91,56,67,82,110,87,54,80,72,32,30,3,88,79,96,95,69,68])).
% 0.71/0.83  cnf(320,plain,
% 0.71/0.83     (E(f7(x3201,a20),f7(x3201,f25(a20)))),
% 0.71/0.83     inference(scs_inference,[],[48,44,41,38,39,40,255,249,241,184,303,185,158,260,135,225,227,173,179,251,121,258,52,65,81,94,37,36,34,91,56,67,82,110,87,54,80,72,32,30,3,88,79,96,95,69,68,33,71,2])).
% 0.71/0.83  cnf(327,plain,
% 0.71/0.83     (P4(f27(f27(a1,a1),f27(a1,f27(f23(a1),f23(a1)))),a2)),
% 0.71/0.83     inference(scs_inference,[],[48,43,44,41,38,39,40,255,249,241,184,303,185,304,158,260,135,225,227,173,175,179,251,121,159,258,52,65,81,94,37,36,34,91,56,67,82,110,87,54,80,72,32,30,3,88,79,96,95,69,68,33,71,2,8,35,108,75,97])).
% 0.71/0.83  cnf(347,plain,
% 0.71/0.83     (~P4(x3471,f25(a20))),
% 0.71/0.83     inference(rename_variables,[],[141])).
% 0.71/0.83  cnf(356,plain,
% 0.71/0.83     (~P4(x3561,f25(f25(a20)))),
% 0.71/0.83     inference(scs_inference,[],[42,44,141,347,298,327,251,67,91,80,72,82])).
% 0.71/0.83  cnf(357,plain,
% 0.71/0.83     (~P4(x3571,f25(a20))),
% 0.71/0.83     inference(rename_variables,[],[141])).
% 0.71/0.83  cnf(359,plain,
% 0.71/0.83     (~E(a20,f3(a13,a13))),
% 0.71/0.83     inference(scs_inference,[],[42,44,296,141,347,298,327,135,251,67,91,80,72,82,37])).
% 0.71/0.83  cnf(361,plain,
% 0.71/0.83     (~P5(f19(f27(f27(a1,a1),f27(a1,f27(a1,a1)))),a20)),
% 0.71/0.83     inference(scs_inference,[],[42,44,296,141,347,298,247,327,230,135,251,67,91,80,72,82,37,34])).
% 0.71/0.83  cnf(363,plain,
% 0.71/0.83     (E(f24(f27(f27(f27(x3631,x3632),f27(x3631,x3632)),f27(f27(x3631,x3632),f27(f27(x3631,x3632),f27(x3631,x3632))))),f27(x3631,x3632))),
% 0.71/0.83     inference(rename_variables,[],[309])).
% 0.71/0.83  cnf(365,plain,
% 0.71/0.83     (~P4(x3651,f25(a20))),
% 0.71/0.83     inference(rename_variables,[],[141])).
% 0.71/0.83  cnf(374,plain,
% 0.71/0.83     (~E(f27(a17,a17),a20)),
% 0.71/0.83     inference(scs_inference,[],[131,42,44,309,363,296,307,141,347,357,365,193,298,301,247,327,230,135,251,67,91,80,72,82,37,34,3,69,30,68,33,2,8])).
% 0.71/0.83  cnf(382,plain,
% 0.71/0.83     (P4(f9(f27(a17,a17)),f27(a17,a17))),
% 0.71/0.83     inference(scs_inference,[],[131,42,44,309,363,296,307,320,141,347,357,365,193,298,301,247,327,286,257,230,135,251,67,91,80,72,82,37,34,3,69,30,68,33,2,8,32,35,89,52,56])).
% 0.71/0.83  cnf(384,plain,
% 0.71/0.83     (E(f9(f27(a17,a17)),a17)),
% 0.71/0.83     inference(scs_inference,[],[131,42,44,309,363,296,307,320,141,347,357,365,193,298,301,247,327,286,257,230,135,251,67,91,80,72,82,37,34,3,69,30,68,33,2,8,32,35,89,52,56,79])).
% 0.71/0.83  cnf(403,plain,
% 0.71/0.83     (~P4(x4031,a20)),
% 0.71/0.83     inference(rename_variables,[],[49])).
% 0.71/0.83  cnf(425,plain,
% 0.71/0.83     ($false),
% 0.71/0.83     inference(scs_inference,[],[49,403,131,44,382,315,356,359,271,384,374,361,311,138,320,298,52,56,67,72,80,79,112,69,66,33,2,8,3,35,32]),
% 0.71/0.83     ['proof']).
% 0.71/0.83  % SZS output end Proof
% 0.71/0.83  % Total time :0.180000s
%------------------------------------------------------------------------------