TSTP Solution File: NLP007+1 by ePrincess---1.0

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : ePrincess---1.0
% Problem  : NLP007+1 : TPTP v8.1.0. Released v2.4.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : ePrincess-casc -timeout=%d %s

% Computer : n026.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 01:54:59 EDT 2022

% Result   : Theorem 2.55s 1.23s
% Output   : Proof 3.82s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.11  % Problem  : NLP007+1 : TPTP v8.1.0. Released v2.4.0.
% 0.11/0.12  % Command  : ePrincess-casc -timeout=%d %s
% 0.11/0.32  % Computer : n026.cluster.edu
% 0.11/0.32  % Model    : x86_64 x86_64
% 0.11/0.32  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.11/0.32  % Memory   : 8042.1875MB
% 0.11/0.32  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.11/0.33  % CPULimit : 300
% 0.11/0.33  % WCLimit  : 600
% 0.11/0.33  % DateTime : Thu Jun 30 21:53:49 EDT 2022
% 0.11/0.33  % CPUTime  : 
% 0.18/0.53          ____       _                          
% 0.18/0.53    ___  / __ \_____(_)___  ________  __________
% 0.18/0.53   / _ \/ /_/ / ___/ / __ \/ ___/ _ \/ ___/ ___/
% 0.18/0.53  /  __/ ____/ /  / / / / / /__/  __(__  |__  ) 
% 0.18/0.53  \___/_/   /_/  /_/_/ /_/\___/\___/____/____/  
% 0.18/0.53  
% 0.18/0.53  A Theorem Prover for First-Order Logic
% 0.18/0.54  (ePrincess v.1.0)
% 0.18/0.54  
% 0.18/0.54  (c) Philipp Rümmer, 2009-2015
% 0.18/0.54  (c) Peter Backeman, 2014-2015
% 0.18/0.54  (contributions by Angelo Brillout, Peter Baumgartner)
% 0.18/0.54  Free software under GNU Lesser General Public License (LGPL).
% 0.18/0.54  Bug reports to peter@backeman.se
% 0.18/0.54  
% 0.18/0.54  For more information, visit http://user.uu.se/~petba168/breu/
% 0.18/0.54  
% 0.18/0.54  Loading /export/starexec/sandbox/benchmark/theBenchmark.p ...
% 0.62/0.59  Prover 0: Options:  -triggersInConjecture -genTotalityAxioms -tightFunctionScopes -clausifier=simple -reverseFunctionalityPropagation +boolFunsAsPreds -triggerStrategy=allMaximal -resolutionMethod=nonUnifying +ignoreQuantifiers -generateTriggers=all
% 1.55/0.92  Prover 0: Preprocessing ...
% 1.83/1.07  Prover 0: Constructing countermodel ...
% 2.55/1.23  Prover 0: proved (637ms)
% 2.55/1.23  
% 2.55/1.23  No countermodel exists, formula is valid
% 2.55/1.23  % SZS status Theorem for theBenchmark
% 2.55/1.23  
% 2.55/1.23  Generating proof ... found it (size 10)
% 3.25/1.46  
% 3.25/1.46  % SZS output start Proof for theBenchmark
% 3.25/1.46  Assumed formulas after preprocessing and simplification: 
% 3.25/1.46  | (0)  ? [v0] :  ? [v1] :  ? [v2] :  ? [v3] :  ? [v4] :  ? [v5] :  ? [v6] :  ? [v7] :  ? [v8] :  ? [v9] : ((v9 = v6 & v8 = v5 &  ~ (v6 = v5) & young(v6) & young(v5) & man(v6) & man(v5) & fellow(v6) & fellow(v5) & in(v6, v7) & in(v5, v0) & in(v2, v1) & down(v2, v4) & barrel(v2, v3) & lonely(v4) & way(v4) & street(v4) & old(v3) & dirty(v3) & white(v3) & car(v3) & chevy(v3) & event(v2) & city(v1) & hollywood(v1) & front(v7) & front(v0) & furniture(v7) & furniture(v0) & seat(v7) & seat(v0) &  ! [v10] :  ! [v11] :  ! [v12] :  ! [v13] :  ! [v14] :  ! [v15] :  ! [v16] :  ! [v17] : (v16 = v15 |  ~ young(v16) |  ~ young(v15) |  ~ man(v16) |  ~ man(v15) |  ~ fellow(v16) |  ~ fellow(v15) |  ~ in(v16, v10) |  ~ in(v15, v17) |  ~ in(v12, v11) |  ~ down(v12, v14) |  ~ barrel(v12, v13) |  ~ lonely(v14) |  ~ way(v14) |  ~ street(v14) |  ~ old(v13) |  ~ dirty(v13) |  ~ white(v13) |  ~ car(v13) |  ~ chevy(v13) |  ~ event(v12) |  ~ city(v11) |  ~ hollywood(v11) |  ~ front(v17) |  ~ front(v10) |  ~ furniture(v17) |  ~ furniture(v10) |  ~ seat(v17) |  ~ seat(v10))) | (v9 = v6 & v8 = v5 &  ~ (v6 = v5) & young(v6) & young(v5) & man(v6) & man(v5) & fellow(v6) & fellow(v5) & in(v6, v0) & in(v5, v7) & in(v2, v1) & down(v2, v4) & barrel(v2, v3) & lonely(v4) & way(v4) & street(v4) & old(v3) & dirty(v3) & white(v3) & car(v3) & chevy(v3) & event(v2) & city(v1) & hollywood(v1) & front(v7) & front(v0) & furniture(v7) & furniture(v0) & seat(v7) & seat(v0) &  ! [v10] :  ! [v11] :  ! [v12] :  ! [v13] :  ! [v14] :  ! [v15] :  ! [v16] :  ! [v17] : (v16 = v15 |  ~ young(v16) |  ~ young(v15) |  ~ man(v16) |  ~ man(v15) |  ~ fellow(v16) |  ~ fellow(v15) |  ~ in(v16, v17) |  ~ in(v15, v10) |  ~ in(v12, v11) |  ~ down(v12, v14) |  ~ barrel(v12, v13) |  ~ lonely(v14) |  ~ way(v14) |  ~ street(v14) |  ~ old(v13) |  ~ dirty(v13) |  ~ white(v13) |  ~ car(v13) |  ~ chevy(v13) |  ~ event(v12) |  ~ city(v11) |  ~ hollywood(v11) |  ~ front(v17) |  ~ front(v10) |  ~ furniture(v17) |  ~ furniture(v10) |  ~ seat(v17) |  ~ seat(v10))))
% 3.63/1.48  | 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:
% 3.63/1.48  | (1) (all_0_0_0 = all_0_3_3 & all_0_1_1 = all_0_4_4 &  ~ (all_0_3_3 = all_0_4_4) & young(all_0_3_3) & young(all_0_4_4) & man(all_0_3_3) & man(all_0_4_4) & fellow(all_0_3_3) & fellow(all_0_4_4) & in(all_0_3_3, all_0_2_2) & in(all_0_4_4, all_0_9_9) & in(all_0_7_7, all_0_8_8) & down(all_0_7_7, all_0_5_5) & barrel(all_0_7_7, all_0_6_6) & lonely(all_0_5_5) & way(all_0_5_5) & street(all_0_5_5) & old(all_0_6_6) & dirty(all_0_6_6) & white(all_0_6_6) & car(all_0_6_6) & chevy(all_0_6_6) & event(all_0_7_7) & city(all_0_8_8) & hollywood(all_0_8_8) & front(all_0_2_2) & front(all_0_9_9) & furniture(all_0_2_2) & furniture(all_0_9_9) & seat(all_0_2_2) & seat(all_0_9_9) &  ! [v0] :  ! [v1] :  ! [v2] :  ! [v3] :  ! [v4] :  ! [v5] :  ! [v6] :  ! [v7] : (v6 = v5 |  ~ young(v6) |  ~ young(v5) |  ~ man(v6) |  ~ man(v5) |  ~ fellow(v6) |  ~ fellow(v5) |  ~ in(v6, v0) |  ~ in(v5, v7) |  ~ in(v2, v1) |  ~ down(v2, v4) |  ~ barrel(v2, v3) |  ~ lonely(v4) |  ~ way(v4) |  ~ street(v4) |  ~ old(v3) |  ~ dirty(v3) |  ~ white(v3) |  ~ car(v3) |  ~ chevy(v3) |  ~ event(v2) |  ~ city(v1) |  ~ hollywood(v1) |  ~ front(v7) |  ~ front(v0) |  ~ furniture(v7) |  ~ furniture(v0) |  ~ seat(v7) |  ~ seat(v0))) | (all_0_0_0 = all_0_3_3 & all_0_1_1 = all_0_4_4 &  ~ (all_0_3_3 = all_0_4_4) & young(all_0_3_3) & young(all_0_4_4) & man(all_0_3_3) & man(all_0_4_4) & fellow(all_0_3_3) & fellow(all_0_4_4) & in(all_0_3_3, all_0_9_9) & in(all_0_4_4, all_0_2_2) & in(all_0_7_7, all_0_8_8) & down(all_0_7_7, all_0_5_5) & barrel(all_0_7_7, all_0_6_6) & lonely(all_0_5_5) & way(all_0_5_5) & street(all_0_5_5) & old(all_0_6_6) & dirty(all_0_6_6) & white(all_0_6_6) & car(all_0_6_6) & chevy(all_0_6_6) & event(all_0_7_7) & city(all_0_8_8) & hollywood(all_0_8_8) & front(all_0_2_2) & front(all_0_9_9) & furniture(all_0_2_2) & furniture(all_0_9_9) & seat(all_0_2_2) & seat(all_0_9_9) &  ! [v0] :  ! [v1] :  ! [v2] :  ! [v3] :  ! [v4] :  ! [v5] :  ! [v6] :  ! [v7] : (v6 = v5 |  ~ young(v6) |  ~ young(v5) |  ~ man(v6) |  ~ man(v5) |  ~ fellow(v6) |  ~ fellow(v5) |  ~ in(v6, v7) |  ~ in(v5, v0) |  ~ in(v2, v1) |  ~ down(v2, v4) |  ~ barrel(v2, v3) |  ~ lonely(v4) |  ~ way(v4) |  ~ street(v4) |  ~ old(v3) |  ~ dirty(v3) |  ~ white(v3) |  ~ car(v3) |  ~ chevy(v3) |  ~ event(v2) |  ~ city(v1) |  ~ hollywood(v1) |  ~ front(v7) |  ~ front(v0) |  ~ furniture(v7) |  ~ furniture(v0) |  ~ seat(v7) |  ~ seat(v0)))
% 3.68/1.49  |
% 3.68/1.49  +-Applying beta-rule and splitting (1), into two cases.
% 3.68/1.49  |-Branch one:
% 3.68/1.49  | (2) all_0_0_0 = all_0_3_3 & all_0_1_1 = all_0_4_4 &  ~ (all_0_3_3 = all_0_4_4) & young(all_0_3_3) & young(all_0_4_4) & man(all_0_3_3) & man(all_0_4_4) & fellow(all_0_3_3) & fellow(all_0_4_4) & in(all_0_3_3, all_0_2_2) & in(all_0_4_4, all_0_9_9) & in(all_0_7_7, all_0_8_8) & down(all_0_7_7, all_0_5_5) & barrel(all_0_7_7, all_0_6_6) & lonely(all_0_5_5) & way(all_0_5_5) & street(all_0_5_5) & old(all_0_6_6) & dirty(all_0_6_6) & white(all_0_6_6) & car(all_0_6_6) & chevy(all_0_6_6) & event(all_0_7_7) & city(all_0_8_8) & hollywood(all_0_8_8) & front(all_0_2_2) & front(all_0_9_9) & furniture(all_0_2_2) & furniture(all_0_9_9) & seat(all_0_2_2) & seat(all_0_9_9) &  ! [v0] :  ! [v1] :  ! [v2] :  ! [v3] :  ! [v4] :  ! [v5] :  ! [v6] :  ! [v7] : (v6 = v5 |  ~ young(v6) |  ~ young(v5) |  ~ man(v6) |  ~ man(v5) |  ~ fellow(v6) |  ~ fellow(v5) |  ~ in(v6, v0) |  ~ in(v5, v7) |  ~ in(v2, v1) |  ~ down(v2, v4) |  ~ barrel(v2, v3) |  ~ lonely(v4) |  ~ way(v4) |  ~ street(v4) |  ~ old(v3) |  ~ dirty(v3) |  ~ white(v3) |  ~ car(v3) |  ~ chevy(v3) |  ~ event(v2) |  ~ city(v1) |  ~ hollywood(v1) |  ~ front(v7) |  ~ front(v0) |  ~ furniture(v7) |  ~ furniture(v0) |  ~ seat(v7) |  ~ seat(v0))
% 3.68/1.49  |
% 3.68/1.49  	| Applying alpha-rule on (2) yields:
% 3.68/1.49  	| (3) all_0_0_0 = all_0_3_3
% 3.68/1.49  	| (4) white(all_0_6_6)
% 3.68/1.49  	| (5)  ! [v0] :  ! [v1] :  ! [v2] :  ! [v3] :  ! [v4] :  ! [v5] :  ! [v6] :  ! [v7] : (v6 = v5 |  ~ young(v6) |  ~ young(v5) |  ~ man(v6) |  ~ man(v5) |  ~ fellow(v6) |  ~ fellow(v5) |  ~ in(v6, v0) |  ~ in(v5, v7) |  ~ in(v2, v1) |  ~ down(v2, v4) |  ~ barrel(v2, v3) |  ~ lonely(v4) |  ~ way(v4) |  ~ street(v4) |  ~ old(v3) |  ~ dirty(v3) |  ~ white(v3) |  ~ car(v3) |  ~ chevy(v3) |  ~ event(v2) |  ~ city(v1) |  ~ hollywood(v1) |  ~ front(v7) |  ~ front(v0) |  ~ furniture(v7) |  ~ furniture(v0) |  ~ seat(v7) |  ~ seat(v0))
% 3.68/1.49  	| (6) old(all_0_6_6)
% 3.68/1.49  	| (7) furniture(all_0_2_2)
% 3.68/1.49  	| (8) man(all_0_4_4)
% 3.68/1.49  	| (9) in(all_0_7_7, all_0_8_8)
% 3.68/1.49  	| (10) all_0_1_1 = all_0_4_4
% 3.68/1.49  	| (11) in(all_0_3_3, all_0_2_2)
% 3.68/1.49  	| (12) seat(all_0_9_9)
% 3.68/1.49  	| (13) front(all_0_9_9)
% 3.68/1.49  	| (14)  ~ (all_0_3_3 = all_0_4_4)
% 3.68/1.49  	| (15) city(all_0_8_8)
% 3.68/1.49  	| (16) young(all_0_4_4)
% 3.68/1.49  	| (17) event(all_0_7_7)
% 3.68/1.49  	| (18) street(all_0_5_5)
% 3.68/1.49  	| (19) fellow(all_0_3_3)
% 3.68/1.49  	| (20) barrel(all_0_7_7, all_0_6_6)
% 3.68/1.49  	| (21) in(all_0_4_4, all_0_9_9)
% 3.68/1.49  	| (22) furniture(all_0_9_9)
% 3.68/1.49  	| (23) dirty(all_0_6_6)
% 3.68/1.49  	| (24) way(all_0_5_5)
% 3.68/1.49  	| (25) man(all_0_3_3)
% 3.68/1.49  	| (26) chevy(all_0_6_6)
% 3.68/1.49  	| (27) front(all_0_2_2)
% 3.68/1.49  	| (28) down(all_0_7_7, all_0_5_5)
% 3.68/1.49  	| (29) hollywood(all_0_8_8)
% 3.68/1.49  	| (30) fellow(all_0_4_4)
% 3.68/1.49  	| (31) young(all_0_3_3)
% 3.68/1.49  	| (32) seat(all_0_2_2)
% 3.68/1.49  	| (33) car(all_0_6_6)
% 3.68/1.49  	| (34) lonely(all_0_5_5)
% 3.68/1.50  	|
% 3.68/1.50  	| Instantiating formula (5) with all_0_9_9, 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_2_2 and discharging atoms young(all_0_3_3), young(all_0_4_4), man(all_0_3_3), man(all_0_4_4), fellow(all_0_3_3), fellow(all_0_4_4), in(all_0_3_3, all_0_2_2), in(all_0_4_4, all_0_9_9), in(all_0_7_7, all_0_8_8), down(all_0_7_7, all_0_5_5), barrel(all_0_7_7, all_0_6_6), lonely(all_0_5_5), way(all_0_5_5), street(all_0_5_5), old(all_0_6_6), dirty(all_0_6_6), white(all_0_6_6), car(all_0_6_6), chevy(all_0_6_6), event(all_0_7_7), city(all_0_8_8), hollywood(all_0_8_8), front(all_0_2_2), front(all_0_9_9), furniture(all_0_2_2), furniture(all_0_9_9), seat(all_0_2_2), seat(all_0_9_9), yields:
% 3.68/1.50  	| (35) all_0_3_3 = all_0_4_4
% 3.68/1.50  	|
% 3.68/1.50  	| Equations (35) can reduce 14 to:
% 3.68/1.50  	| (36) $false
% 3.68/1.50  	|
% 3.68/1.50  	|-The branch is then unsatisfiable
% 3.68/1.50  |-Branch two:
% 3.68/1.50  | (37) all_0_0_0 = all_0_3_3 & all_0_1_1 = all_0_4_4 &  ~ (all_0_3_3 = all_0_4_4) & young(all_0_3_3) & young(all_0_4_4) & man(all_0_3_3) & man(all_0_4_4) & fellow(all_0_3_3) & fellow(all_0_4_4) & in(all_0_3_3, all_0_9_9) & in(all_0_4_4, all_0_2_2) & in(all_0_7_7, all_0_8_8) & down(all_0_7_7, all_0_5_5) & barrel(all_0_7_7, all_0_6_6) & lonely(all_0_5_5) & way(all_0_5_5) & street(all_0_5_5) & old(all_0_6_6) & dirty(all_0_6_6) & white(all_0_6_6) & car(all_0_6_6) & chevy(all_0_6_6) & event(all_0_7_7) & city(all_0_8_8) & hollywood(all_0_8_8) & front(all_0_2_2) & front(all_0_9_9) & furniture(all_0_2_2) & furniture(all_0_9_9) & seat(all_0_2_2) & seat(all_0_9_9) &  ! [v0] :  ! [v1] :  ! [v2] :  ! [v3] :  ! [v4] :  ! [v5] :  ! [v6] :  ! [v7] : (v6 = v5 |  ~ young(v6) |  ~ young(v5) |  ~ man(v6) |  ~ man(v5) |  ~ fellow(v6) |  ~ fellow(v5) |  ~ in(v6, v7) |  ~ in(v5, v0) |  ~ in(v2, v1) |  ~ down(v2, v4) |  ~ barrel(v2, v3) |  ~ lonely(v4) |  ~ way(v4) |  ~ street(v4) |  ~ old(v3) |  ~ dirty(v3) |  ~ white(v3) |  ~ car(v3) |  ~ chevy(v3) |  ~ event(v2) |  ~ city(v1) |  ~ hollywood(v1) |  ~ front(v7) |  ~ front(v0) |  ~ furniture(v7) |  ~ furniture(v0) |  ~ seat(v7) |  ~ seat(v0))
% 3.68/1.50  |
% 3.68/1.50  	| Applying alpha-rule on (37) yields:
% 3.68/1.50  	| (3) all_0_0_0 = all_0_3_3
% 3.68/1.50  	| (4) white(all_0_6_6)
% 3.68/1.50  	| (6) old(all_0_6_6)
% 3.68/1.50  	| (7) furniture(all_0_2_2)
% 3.68/1.50  	| (8) man(all_0_4_4)
% 3.68/1.50  	| (9) in(all_0_7_7, all_0_8_8)
% 3.68/1.50  	| (10) all_0_1_1 = all_0_4_4
% 3.68/1.50  	| (12) seat(all_0_9_9)
% 3.68/1.50  	| (46) in(all_0_3_3, all_0_9_9)
% 3.68/1.50  	| (13) front(all_0_9_9)
% 3.68/1.50  	| (14)  ~ (all_0_3_3 = all_0_4_4)
% 3.68/1.50  	| (15) city(all_0_8_8)
% 3.68/1.50  	| (16) young(all_0_4_4)
% 3.68/1.50  	| (17) event(all_0_7_7)
% 3.68/1.50  	| (18) street(all_0_5_5)
% 3.68/1.50  	| (19) fellow(all_0_3_3)
% 3.68/1.50  	| (20) barrel(all_0_7_7, all_0_6_6)
% 3.68/1.50  	| (22) furniture(all_0_9_9)
% 3.68/1.50  	| (23) dirty(all_0_6_6)
% 3.68/1.51  	| (57)  ! [v0] :  ! [v1] :  ! [v2] :  ! [v3] :  ! [v4] :  ! [v5] :  ! [v6] :  ! [v7] : (v6 = v5 |  ~ young(v6) |  ~ young(v5) |  ~ man(v6) |  ~ man(v5) |  ~ fellow(v6) |  ~ fellow(v5) |  ~ in(v6, v7) |  ~ in(v5, v0) |  ~ in(v2, v1) |  ~ down(v2, v4) |  ~ barrel(v2, v3) |  ~ lonely(v4) |  ~ way(v4) |  ~ street(v4) |  ~ old(v3) |  ~ dirty(v3) |  ~ white(v3) |  ~ car(v3) |  ~ chevy(v3) |  ~ event(v2) |  ~ city(v1) |  ~ hollywood(v1) |  ~ front(v7) |  ~ front(v0) |  ~ furniture(v7) |  ~ furniture(v0) |  ~ seat(v7) |  ~ seat(v0))
% 3.68/1.51  	| (24) way(all_0_5_5)
% 3.68/1.51  	| (25) man(all_0_3_3)
% 3.68/1.51  	| (26) chevy(all_0_6_6)
% 3.68/1.51  	| (27) front(all_0_2_2)
% 3.68/1.51  	| (28) down(all_0_7_7, all_0_5_5)
% 3.68/1.51  	| (29) hollywood(all_0_8_8)
% 3.68/1.51  	| (30) fellow(all_0_4_4)
% 3.68/1.51  	| (31) young(all_0_3_3)
% 3.68/1.51  	| (66) in(all_0_4_4, all_0_2_2)
% 3.68/1.51  	| (32) seat(all_0_2_2)
% 3.68/1.51  	| (33) car(all_0_6_6)
% 3.68/1.51  	| (34) lonely(all_0_5_5)
% 3.68/1.51  	|
% 3.68/1.51  	| Instantiating formula (57) with all_0_9_9, 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_2_2 and discharging atoms young(all_0_3_3), young(all_0_4_4), man(all_0_3_3), man(all_0_4_4), fellow(all_0_3_3), fellow(all_0_4_4), in(all_0_3_3, all_0_9_9), in(all_0_4_4, all_0_2_2), in(all_0_7_7, all_0_8_8), down(all_0_7_7, all_0_5_5), barrel(all_0_7_7, all_0_6_6), lonely(all_0_5_5), way(all_0_5_5), street(all_0_5_5), old(all_0_6_6), dirty(all_0_6_6), white(all_0_6_6), car(all_0_6_6), chevy(all_0_6_6), event(all_0_7_7), city(all_0_8_8), hollywood(all_0_8_8), front(all_0_2_2), front(all_0_9_9), furniture(all_0_2_2), furniture(all_0_9_9), seat(all_0_2_2), seat(all_0_9_9), yields:
% 3.82/1.51  	| (35) all_0_3_3 = all_0_4_4
% 3.82/1.51  	|
% 3.82/1.51  	| Equations (35) can reduce 14 to:
% 3.82/1.51  	| (36) $false
% 3.82/1.51  	|
% 3.82/1.51  	|-The branch is then unsatisfiable
% 3.82/1.51  % SZS output end Proof for theBenchmark
% 3.82/1.51  
% 3.82/1.51  966ms
%------------------------------------------------------------------------------