TSTP Solution File: NLP004+1 by ePrincess---1.0

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : ePrincess---1.0
% Problem  : NLP004+1 : TPTP v8.1.0. Released v2.4.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : ePrincess-casc -timeout=%d %s

% Computer : n003.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 01:54:57 EDT 2022

% Result   : Theorem 2.59s 1.30s
% Output   : Proof 3.85s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.06/0.12  % Problem  : NLP004+1 : TPTP v8.1.0. Released v2.4.0.
% 0.06/0.13  % Command  : ePrincess-casc -timeout=%d %s
% 0.12/0.33  % Computer : n003.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 : Fri Jul  1 00:59:07 EDT 2022
% 0.12/0.34  % CPUTime  : 
% 0.42/0.62          ____       _                          
% 0.42/0.62    ___  / __ \_____(_)___  ________  __________
% 0.42/0.62   / _ \/ /_/ / ___/ / __ \/ ___/ _ \/ ___/ ___/
% 0.42/0.62  /  __/ ____/ /  / / / / / /__/  __(__  |__  ) 
% 0.42/0.62  \___/_/   /_/  /_/_/ /_/\___/\___/____/____/  
% 0.42/0.62  
% 0.42/0.62  A Theorem Prover for First-Order Logic
% 0.64/0.63  (ePrincess v.1.0)
% 0.64/0.63  
% 0.64/0.63  (c) Philipp Rümmer, 2009-2015
% 0.64/0.63  (c) Peter Backeman, 2014-2015
% 0.64/0.63  (contributions by Angelo Brillout, Peter Baumgartner)
% 0.64/0.63  Free software under GNU Lesser General Public License (LGPL).
% 0.64/0.63  Bug reports to peter@backeman.se
% 0.64/0.63  
% 0.64/0.63  For more information, visit http://user.uu.se/~petba168/breu/
% 0.64/0.63  
% 0.64/0.63  Loading /export/starexec/sandbox/benchmark/theBenchmark.p ...
% 0.64/0.68  Prover 0: Options:  -triggersInConjecture -genTotalityAxioms -tightFunctionScopes -clausifier=simple -reverseFunctionalityPropagation +boolFunsAsPreds -triggerStrategy=allMaximal -resolutionMethod=nonUnifying +ignoreQuantifiers -generateTriggers=all
% 1.64/1.00  Prover 0: Preprocessing ...
% 2.06/1.15  Prover 0: Constructing countermodel ...
% 2.59/1.30  Prover 0: proved (625ms)
% 2.59/1.30  
% 2.59/1.30  No countermodel exists, formula is valid
% 2.59/1.30  % SZS status Theorem for theBenchmark
% 2.59/1.30  
% 2.59/1.30  Generating proof ... found it (size 10)
% 3.63/1.52  
% 3.63/1.52  % SZS output start Proof for theBenchmark
% 3.63/1.53  Assumed formulas after preprocessing and simplification: 
% 3.63/1.53  | (0)  ? [v0] :  ? [v1] :  ? [v2] :  ? [v3] :  ? [v4] :  ? [v5] :  ? [v6] :  ? [v7] :  ? [v8] :  ? [v9] : ((v9 = v7 & v8 = v6 &  ~ (v7 = v6) & young(v7) & young(v6) & man(v7) & man(v6) & fellow(v7) & fellow(v6) & in(v7, v1) & in(v6, v0) & in(v3, v2) & down(v3, v5) & barrel(v3, v4) & old(v4) & dirty(v4) & white(v4) & car(v4) & chevy(v4) & lonely(v5) & way(v5) & street(v5) & event(v3) & city(v2) & hollywood(v2) & front(v1) & front(v0) & furniture(v1) & furniture(v0) & seat(v1) & seat(v0) &  ! [v10] :  ! [v11] :  ! [v12] :  ! [v13] :  ! [v14] :  ! [v15] :  ! [v16] :  ! [v17] : (v17 = v16 |  ~ young(v17) |  ~ young(v16) |  ~ man(v17) |  ~ man(v16) |  ~ fellow(v17) |  ~ fellow(v16) |  ~ in(v17, v11) |  ~ in(v16, v10) |  ~ in(v13, v12) |  ~ down(v13, v14) |  ~ barrel(v13, v15) |  ~ old(v15) |  ~ dirty(v15) |  ~ white(v15) |  ~ car(v15) |  ~ chevy(v15) |  ~ lonely(v14) |  ~ way(v14) |  ~ street(v14) |  ~ event(v13) |  ~ city(v12) |  ~ hollywood(v12) |  ~ front(v11) |  ~ front(v10) |  ~ furniture(v11) |  ~ furniture(v10) |  ~ seat(v11) |  ~ seat(v10))) | (v9 = v7 & v8 = v6 &  ~ (v7 = v6) & young(v7) & young(v6) & man(v7) & man(v6) & fellow(v7) & fellow(v6) & in(v7, v1) & in(v6, v0) & in(v3, v2) & down(v3, v4) & barrel(v3, v5) & old(v5) & dirty(v5) & white(v5) & car(v5) & chevy(v5) & lonely(v4) & way(v4) & street(v4) & event(v3) & city(v2) & hollywood(v2) & front(v1) & front(v0) & furniture(v1) & furniture(v0) & seat(v1) & seat(v0) &  ! [v10] :  ! [v11] :  ! [v12] :  ! [v13] :  ! [v14] :  ! [v15] :  ! [v16] :  ! [v17] : (v17 = v16 |  ~ young(v17) |  ~ young(v16) |  ~ man(v17) |  ~ man(v16) |  ~ fellow(v17) |  ~ fellow(v16) |  ~ in(v17, v11) |  ~ in(v16, v10) |  ~ in(v13, v12) |  ~ down(v13, v15) |  ~ barrel(v13, v14) |  ~ old(v14) |  ~ dirty(v14) |  ~ white(v14) |  ~ car(v14) |  ~ chevy(v14) |  ~ lonely(v15) |  ~ way(v15) |  ~ street(v15) |  ~ event(v13) |  ~ city(v12) |  ~ hollywood(v12) |  ~ front(v11) |  ~ front(v10) |  ~ furniture(v11) |  ~ furniture(v10) |  ~ seat(v11) |  ~ seat(v10))))
% 3.63/1.54  | Instantiating (0) with all_0_0_0, all_0_1_1, all_0_2_2, all_0_3_3, all_0_4_4, all_0_5_5, all_0_6_6, all_0_7_7, all_0_8_8, all_0_9_9 yields:
% 3.63/1.54  | (1) (all_0_0_0 = all_0_2_2 & all_0_1_1 = all_0_3_3 &  ~ (all_0_2_2 = all_0_3_3) & young(all_0_2_2) & young(all_0_3_3) & man(all_0_2_2) & man(all_0_3_3) & fellow(all_0_2_2) & fellow(all_0_3_3) & in(all_0_2_2, all_0_8_8) & in(all_0_3_3, all_0_9_9) & in(all_0_6_6, all_0_7_7) & down(all_0_6_6, all_0_4_4) & barrel(all_0_6_6, all_0_5_5) & old(all_0_5_5) & dirty(all_0_5_5) & white(all_0_5_5) & car(all_0_5_5) & chevy(all_0_5_5) & lonely(all_0_4_4) & way(all_0_4_4) & street(all_0_4_4) & event(all_0_6_6) & city(all_0_7_7) & hollywood(all_0_7_7) & front(all_0_8_8) & front(all_0_9_9) & furniture(all_0_8_8) & furniture(all_0_9_9) & seat(all_0_8_8) & seat(all_0_9_9) &  ! [v0] :  ! [v1] :  ! [v2] :  ! [v3] :  ! [v4] :  ! [v5] :  ! [v6] :  ! [v7] : (v7 = v6 |  ~ young(v7) |  ~ young(v6) |  ~ man(v7) |  ~ man(v6) |  ~ fellow(v7) |  ~ fellow(v6) |  ~ in(v7, v1) |  ~ in(v6, v0) |  ~ in(v3, v2) |  ~ down(v3, v4) |  ~ barrel(v3, v5) |  ~ old(v5) |  ~ dirty(v5) |  ~ white(v5) |  ~ car(v5) |  ~ chevy(v5) |  ~ lonely(v4) |  ~ way(v4) |  ~ street(v4) |  ~ event(v3) |  ~ city(v2) |  ~ hollywood(v2) |  ~ front(v1) |  ~ front(v0) |  ~ furniture(v1) |  ~ furniture(v0) |  ~ seat(v1) |  ~ seat(v0))) | (all_0_0_0 = all_0_2_2 & all_0_1_1 = all_0_3_3 &  ~ (all_0_2_2 = all_0_3_3) & young(all_0_2_2) & young(all_0_3_3) & man(all_0_2_2) & man(all_0_3_3) & fellow(all_0_2_2) & fellow(all_0_3_3) & in(all_0_2_2, all_0_8_8) & in(all_0_3_3, all_0_9_9) & in(all_0_6_6, all_0_7_7) & down(all_0_6_6, all_0_5_5) & barrel(all_0_6_6, all_0_4_4) & old(all_0_4_4) & dirty(all_0_4_4) & white(all_0_4_4) & car(all_0_4_4) & chevy(all_0_4_4) & lonely(all_0_5_5) & way(all_0_5_5) & street(all_0_5_5) & event(all_0_6_6) & city(all_0_7_7) & hollywood(all_0_7_7) & front(all_0_8_8) & front(all_0_9_9) & furniture(all_0_8_8) & furniture(all_0_9_9) & seat(all_0_8_8) & seat(all_0_9_9) &  ! [v0] :  ! [v1] :  ! [v2] :  ! [v3] :  ! [v4] :  ! [v5] :  ! [v6] :  ! [v7] : (v7 = v6 |  ~ young(v7) |  ~ young(v6) |  ~ man(v7) |  ~ man(v6) |  ~ fellow(v7) |  ~ fellow(v6) |  ~ in(v7, v1) |  ~ in(v6, v0) |  ~ in(v3, v2) |  ~ down(v3, v5) |  ~ barrel(v3, v4) |  ~ old(v4) |  ~ dirty(v4) |  ~ white(v4) |  ~ car(v4) |  ~ chevy(v4) |  ~ lonely(v5) |  ~ way(v5) |  ~ street(v5) |  ~ event(v3) |  ~ city(v2) |  ~ hollywood(v2) |  ~ front(v1) |  ~ front(v0) |  ~ furniture(v1) |  ~ furniture(v0) |  ~ seat(v1) |  ~ seat(v0)))
% 3.63/1.55  |
% 3.63/1.55  +-Applying beta-rule and splitting (1), into two cases.
% 3.63/1.55  |-Branch one:
% 3.63/1.55  | (2) all_0_0_0 = all_0_2_2 & all_0_1_1 = all_0_3_3 &  ~ (all_0_2_2 = all_0_3_3) & young(all_0_2_2) & young(all_0_3_3) & man(all_0_2_2) & man(all_0_3_3) & fellow(all_0_2_2) & fellow(all_0_3_3) & in(all_0_2_2, all_0_8_8) & in(all_0_3_3, all_0_9_9) & in(all_0_6_6, all_0_7_7) & down(all_0_6_6, all_0_4_4) & barrel(all_0_6_6, all_0_5_5) & old(all_0_5_5) & dirty(all_0_5_5) & white(all_0_5_5) & car(all_0_5_5) & chevy(all_0_5_5) & lonely(all_0_4_4) & way(all_0_4_4) & street(all_0_4_4) & event(all_0_6_6) & city(all_0_7_7) & hollywood(all_0_7_7) & front(all_0_8_8) & front(all_0_9_9) & furniture(all_0_8_8) & furniture(all_0_9_9) & seat(all_0_8_8) & seat(all_0_9_9) &  ! [v0] :  ! [v1] :  ! [v2] :  ! [v3] :  ! [v4] :  ! [v5] :  ! [v6] :  ! [v7] : (v7 = v6 |  ~ young(v7) |  ~ young(v6) |  ~ man(v7) |  ~ man(v6) |  ~ fellow(v7) |  ~ fellow(v6) |  ~ in(v7, v1) |  ~ in(v6, v0) |  ~ in(v3, v2) |  ~ down(v3, v4) |  ~ barrel(v3, v5) |  ~ old(v5) |  ~ dirty(v5) |  ~ white(v5) |  ~ car(v5) |  ~ chevy(v5) |  ~ lonely(v4) |  ~ way(v4) |  ~ street(v4) |  ~ event(v3) |  ~ city(v2) |  ~ hollywood(v2) |  ~ front(v1) |  ~ front(v0) |  ~ furniture(v1) |  ~ furniture(v0) |  ~ seat(v1) |  ~ seat(v0))
% 3.63/1.55  |
% 3.63/1.55  	| Applying alpha-rule on (2) yields:
% 3.63/1.55  	| (3) street(all_0_4_4)
% 3.63/1.55  	| (4) young(all_0_3_3)
% 3.63/1.55  	| (5) hollywood(all_0_7_7)
% 3.63/1.55  	| (6) down(all_0_6_6, all_0_4_4)
% 3.63/1.55  	| (7) in(all_0_2_2, all_0_8_8)
% 3.63/1.55  	| (8) fellow(all_0_3_3)
% 3.63/1.55  	| (9) in(all_0_6_6, all_0_7_7)
% 3.63/1.55  	| (10) way(all_0_4_4)
% 3.63/1.55  	| (11) barrel(all_0_6_6, all_0_5_5)
% 3.63/1.55  	| (12) chevy(all_0_5_5)
% 3.63/1.55  	| (13) all_0_0_0 = all_0_2_2
% 3.63/1.55  	| (14) man(all_0_3_3)
% 3.63/1.55  	| (15) city(all_0_7_7)
% 3.63/1.55  	| (16) all_0_1_1 = all_0_3_3
% 3.63/1.55  	| (17) furniture(all_0_9_9)
% 3.63/1.55  	| (18) event(all_0_6_6)
% 3.63/1.56  	| (19) car(all_0_5_5)
% 3.63/1.56  	| (20) furniture(all_0_8_8)
% 3.63/1.56  	| (21) fellow(all_0_2_2)
% 3.63/1.56  	| (22) front(all_0_8_8)
% 3.63/1.56  	| (23) seat(all_0_9_9)
% 3.63/1.56  	| (24)  ~ (all_0_2_2 = all_0_3_3)
% 3.63/1.56  	| (25) old(all_0_5_5)
% 3.63/1.56  	| (26) dirty(all_0_5_5)
% 3.63/1.56  	| (27) young(all_0_2_2)
% 3.63/1.56  	| (28) lonely(all_0_4_4)
% 3.63/1.56  	| (29) seat(all_0_8_8)
% 3.63/1.56  	| (30) front(all_0_9_9)
% 3.63/1.56  	| (31) in(all_0_3_3, all_0_9_9)
% 3.63/1.56  	| (32)  ! [v0] :  ! [v1] :  ! [v2] :  ! [v3] :  ! [v4] :  ! [v5] :  ! [v6] :  ! [v7] : (v7 = v6 |  ~ young(v7) |  ~ young(v6) |  ~ man(v7) |  ~ man(v6) |  ~ fellow(v7) |  ~ fellow(v6) |  ~ in(v7, v1) |  ~ in(v6, v0) |  ~ in(v3, v2) |  ~ down(v3, v4) |  ~ barrel(v3, v5) |  ~ old(v5) |  ~ dirty(v5) |  ~ white(v5) |  ~ car(v5) |  ~ chevy(v5) |  ~ lonely(v4) |  ~ way(v4) |  ~ street(v4) |  ~ event(v3) |  ~ city(v2) |  ~ hollywood(v2) |  ~ front(v1) |  ~ front(v0) |  ~ furniture(v1) |  ~ furniture(v0) |  ~ seat(v1) |  ~ seat(v0))
% 3.63/1.56  	| (33) white(all_0_5_5)
% 3.63/1.56  	| (34) man(all_0_2_2)
% 3.63/1.56  	|
% 3.63/1.56  	| Instantiating formula (32) with all_0_2_2, all_0_3_3, all_0_5_5, all_0_4_4, all_0_6_6, all_0_7_7, all_0_8_8, all_0_9_9 and discharging atoms young(all_0_2_2), young(all_0_3_3), man(all_0_2_2), man(all_0_3_3), fellow(all_0_2_2), fellow(all_0_3_3), in(all_0_2_2, all_0_8_8), in(all_0_3_3, all_0_9_9), in(all_0_6_6, all_0_7_7), down(all_0_6_6, all_0_4_4), barrel(all_0_6_6, all_0_5_5), old(all_0_5_5), dirty(all_0_5_5), white(all_0_5_5), car(all_0_5_5), chevy(all_0_5_5), lonely(all_0_4_4), way(all_0_4_4), street(all_0_4_4), event(all_0_6_6), city(all_0_7_7), hollywood(all_0_7_7), front(all_0_8_8), front(all_0_9_9), furniture(all_0_8_8), furniture(all_0_9_9), seat(all_0_8_8), seat(all_0_9_9), yields:
% 3.63/1.56  	| (35) all_0_2_2 = all_0_3_3
% 3.63/1.56  	|
% 3.63/1.56  	| Equations (35) can reduce 24 to:
% 3.63/1.56  	| (36) $false
% 3.63/1.56  	|
% 3.63/1.56  	|-The branch is then unsatisfiable
% 3.63/1.56  |-Branch two:
% 3.63/1.56  | (37) all_0_0_0 = all_0_2_2 & all_0_1_1 = all_0_3_3 &  ~ (all_0_2_2 = all_0_3_3) & young(all_0_2_2) & young(all_0_3_3) & man(all_0_2_2) & man(all_0_3_3) & fellow(all_0_2_2) & fellow(all_0_3_3) & in(all_0_2_2, all_0_8_8) & in(all_0_3_3, all_0_9_9) & in(all_0_6_6, all_0_7_7) & down(all_0_6_6, all_0_5_5) & barrel(all_0_6_6, all_0_4_4) & old(all_0_4_4) & dirty(all_0_4_4) & white(all_0_4_4) & car(all_0_4_4) & chevy(all_0_4_4) & lonely(all_0_5_5) & way(all_0_5_5) & street(all_0_5_5) & event(all_0_6_6) & city(all_0_7_7) & hollywood(all_0_7_7) & front(all_0_8_8) & front(all_0_9_9) & furniture(all_0_8_8) & furniture(all_0_9_9) & seat(all_0_8_8) & seat(all_0_9_9) &  ! [v0] :  ! [v1] :  ! [v2] :  ! [v3] :  ! [v4] :  ! [v5] :  ! [v6] :  ! [v7] : (v7 = v6 |  ~ young(v7) |  ~ young(v6) |  ~ man(v7) |  ~ man(v6) |  ~ fellow(v7) |  ~ fellow(v6) |  ~ in(v7, v1) |  ~ in(v6, v0) |  ~ in(v3, v2) |  ~ down(v3, v5) |  ~ barrel(v3, v4) |  ~ old(v4) |  ~ dirty(v4) |  ~ white(v4) |  ~ car(v4) |  ~ chevy(v4) |  ~ lonely(v5) |  ~ way(v5) |  ~ street(v5) |  ~ event(v3) |  ~ city(v2) |  ~ hollywood(v2) |  ~ front(v1) |  ~ front(v0) |  ~ furniture(v1) |  ~ furniture(v0) |  ~ seat(v1) |  ~ seat(v0))
% 3.63/1.57  |
% 3.63/1.57  	| Applying alpha-rule on (37) yields:
% 3.63/1.57  	| (38) way(all_0_5_5)
% 3.63/1.57  	| (39) street(all_0_5_5)
% 3.63/1.57  	| (4) young(all_0_3_3)
% 3.63/1.57  	| (5) hollywood(all_0_7_7)
% 3.63/1.57  	| (7) in(all_0_2_2, all_0_8_8)
% 3.63/1.57  	| (8) fellow(all_0_3_3)
% 3.63/1.57  	| (9) in(all_0_6_6, all_0_7_7)
% 3.63/1.57  	| (45) barrel(all_0_6_6, all_0_4_4)
% 3.63/1.57  	| (46) dirty(all_0_4_4)
% 3.63/1.57  	| (13) all_0_0_0 = all_0_2_2
% 3.63/1.57  	| (14) man(all_0_3_3)
% 3.63/1.57  	| (15) city(all_0_7_7)
% 3.63/1.57  	| (16) all_0_1_1 = all_0_3_3
% 3.63/1.57  	| (17) furniture(all_0_9_9)
% 3.63/1.57  	| (52) old(all_0_4_4)
% 3.63/1.57  	| (18) event(all_0_6_6)
% 3.63/1.57  	| (20) furniture(all_0_8_8)
% 3.63/1.57  	| (21) fellow(all_0_2_2)
% 3.63/1.57  	| (22) front(all_0_8_8)
% 3.63/1.57  	| (23) seat(all_0_9_9)
% 3.63/1.57  	| (58)  ! [v0] :  ! [v1] :  ! [v2] :  ! [v3] :  ! [v4] :  ! [v5] :  ! [v6] :  ! [v7] : (v7 = v6 |  ~ young(v7) |  ~ young(v6) |  ~ man(v7) |  ~ man(v6) |  ~ fellow(v7) |  ~ fellow(v6) |  ~ in(v7, v1) |  ~ in(v6, v0) |  ~ in(v3, v2) |  ~ down(v3, v5) |  ~ barrel(v3, v4) |  ~ old(v4) |  ~ dirty(v4) |  ~ white(v4) |  ~ car(v4) |  ~ chevy(v4) |  ~ lonely(v5) |  ~ way(v5) |  ~ street(v5) |  ~ event(v3) |  ~ city(v2) |  ~ hollywood(v2) |  ~ front(v1) |  ~ front(v0) |  ~ furniture(v1) |  ~ furniture(v0) |  ~ seat(v1) |  ~ seat(v0))
% 3.63/1.57  	| (24)  ~ (all_0_2_2 = all_0_3_3)
% 3.63/1.57  	| (27) young(all_0_2_2)
% 3.63/1.57  	| (61) chevy(all_0_4_4)
% 3.63/1.57  	| (62) white(all_0_4_4)
% 3.63/1.57  	| (29) seat(all_0_8_8)
% 3.63/1.57  	| (64) down(all_0_6_6, all_0_5_5)
% 3.63/1.57  	| (30) front(all_0_9_9)
% 3.63/1.57  	| (31) in(all_0_3_3, all_0_9_9)
% 3.63/1.57  	| (67) car(all_0_4_4)
% 3.63/1.57  	| (34) man(all_0_2_2)
% 3.63/1.57  	| (69) lonely(all_0_5_5)
% 3.63/1.57  	|
% 3.63/1.57  	| Instantiating formula (58) with all_0_2_2, all_0_3_3, all_0_5_5, all_0_4_4, all_0_6_6, all_0_7_7, all_0_8_8, all_0_9_9 and discharging atoms young(all_0_2_2), young(all_0_3_3), man(all_0_2_2), man(all_0_3_3), fellow(all_0_2_2), fellow(all_0_3_3), in(all_0_2_2, all_0_8_8), in(all_0_3_3, all_0_9_9), in(all_0_6_6, all_0_7_7), down(all_0_6_6, all_0_5_5), barrel(all_0_6_6, all_0_4_4), old(all_0_4_4), dirty(all_0_4_4), white(all_0_4_4), car(all_0_4_4), chevy(all_0_4_4), lonely(all_0_5_5), way(all_0_5_5), street(all_0_5_5), event(all_0_6_6), city(all_0_7_7), hollywood(all_0_7_7), front(all_0_8_8), front(all_0_9_9), furniture(all_0_8_8), furniture(all_0_9_9), seat(all_0_8_8), seat(all_0_9_9), yields:
% 3.85/1.58  	| (35) all_0_2_2 = all_0_3_3
% 3.85/1.58  	|
% 3.85/1.58  	| Equations (35) can reduce 24 to:
% 3.85/1.58  	| (36) $false
% 3.85/1.58  	|
% 3.85/1.58  	|-The branch is then unsatisfiable
% 3.85/1.58  % SZS output end Proof for theBenchmark
% 3.85/1.58  
% 3.85/1.58  941ms
%------------------------------------------------------------------------------