TSTP Solution File: NLP011+1 by ePrincess---1.0

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : ePrincess---1.0
% Problem  : NLP011+1 : TPTP v8.1.0. Released v2.4.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : ePrincess-casc -timeout=%d %s

% Computer : n004.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 01:55:03 EDT 2022

% Result   : Theorem 2.98s 1.61s
% Output   : Proof 4.57s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.11  % Problem  : NLP011+1 : TPTP v8.1.0. Released v2.4.0.
% 0.00/0.12  % Command  : ePrincess-casc -timeout=%d %s
% 0.12/0.33  % Computer : n004.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 12:02:08 EDT 2022
% 0.12/0.34  % CPUTime  : 
% 0.61/0.68          ____       _                          
% 0.61/0.68    ___  / __ \_____(_)___  ________  __________
% 0.61/0.68   / _ \/ /_/ / ___/ / __ \/ ___/ _ \/ ___/ ___/
% 0.61/0.68  /  __/ ____/ /  / / / / / /__/  __(__  |__  ) 
% 0.61/0.68  \___/_/   /_/  /_/_/ /_/\___/\___/____/____/  
% 0.61/0.68  
% 0.61/0.68  A Theorem Prover for First-Order Logic
% 0.61/0.68  (ePrincess v.1.0)
% 0.61/0.68  
% 0.61/0.68  (c) Philipp Rümmer, 2009-2015
% 0.61/0.68  (c) Peter Backeman, 2014-2015
% 0.61/0.68  (contributions by Angelo Brillout, Peter Baumgartner)
% 0.61/0.68  Free software under GNU Lesser General Public License (LGPL).
% 0.61/0.68  Bug reports to peter@backeman.se
% 0.61/0.68  
% 0.61/0.68  For more information, visit http://user.uu.se/~petba168/breu/
% 0.61/0.68  
% 0.61/0.68  Loading /export/starexec/sandbox2/benchmark/theBenchmark.p ...
% 0.75/0.75  Prover 0: Options:  -triggersInConjecture -genTotalityAxioms -tightFunctionScopes -clausifier=simple -reverseFunctionalityPropagation +boolFunsAsPreds -triggerStrategy=allMaximal -resolutionMethod=nonUnifying +ignoreQuantifiers -generateTriggers=all
% 1.94/1.17  Prover 0: Preprocessing ...
% 2.32/1.38  Prover 0: Constructing countermodel ...
% 2.98/1.61  Prover 0: proved (852ms)
% 2.98/1.61  
% 2.98/1.61  No countermodel exists, formula is valid
% 2.98/1.61  % SZS status Theorem for theBenchmark
% 2.98/1.61  
% 2.98/1.61  Generating proof ... found it (size 10)
% 4.13/1.86  
% 4.13/1.86  % SZS output start Proof for theBenchmark
% 4.13/1.86  Assumed formulas after preprocessing and simplification: 
% 4.13/1.86  | (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, v3) & barrel(v2, v4) & old(v4) & dirty(v4) & white(v4) & car(v4) & chevy(v4) & lonely(v3) & way(v3) & street(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, v13) |  ~ barrel(v12, v14) |  ~ old(v14) |  ~ dirty(v14) |  ~ white(v14) |  ~ car(v14) |  ~ chevy(v14) |  ~ lonely(v13) |  ~ way(v13) |  ~ street(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, v3) & barrel(v2, v4) & old(v4) & dirty(v4) & white(v4) & car(v4) & chevy(v4) & lonely(v3) & way(v3) & street(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, v13) |  ~ barrel(v12, v14) |  ~ old(v14) |  ~ dirty(v14) |  ~ white(v14) |  ~ car(v14) |  ~ chevy(v14) |  ~ lonely(v13) |  ~ way(v13) |  ~ street(v13) |  ~ event(v12) |  ~ city(v11) |  ~ hollywood(v11) |  ~ front(v17) |  ~ front(v10) |  ~ furniture(v17) |  ~ furniture(v10) |  ~ seat(v17) |  ~ seat(v10))))
% 4.13/1.89  | 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:
% 4.13/1.89  | (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_6_6) & barrel(all_0_7_7, 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_6_6) & way(all_0_6_6) & street(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, v3) |  ~ barrel(v2, v4) |  ~ old(v4) |  ~ dirty(v4) |  ~ white(v4) |  ~ car(v4) |  ~ chevy(v4) |  ~ lonely(v3) |  ~ way(v3) |  ~ street(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_6_6) & barrel(all_0_7_7, 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_6_6) & way(all_0_6_6) & street(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, v3) |  ~ barrel(v2, v4) |  ~ old(v4) |  ~ dirty(v4) |  ~ white(v4) |  ~ car(v4) |  ~ chevy(v4) |  ~ lonely(v3) |  ~ way(v3) |  ~ street(v3) |  ~ event(v2) |  ~ city(v1) |  ~ hollywood(v1) |  ~ front(v7) |  ~ front(v0) |  ~ furniture(v7) |  ~ furniture(v0) |  ~ seat(v7) |  ~ seat(v0)))
% 4.13/1.90  |
% 4.13/1.90  +-Applying beta-rule and splitting (1), into two cases.
% 4.13/1.90  |-Branch one:
% 4.13/1.90  | (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_6_6) & barrel(all_0_7_7, 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_6_6) & way(all_0_6_6) & street(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, v3) |  ~ barrel(v2, v4) |  ~ old(v4) |  ~ dirty(v4) |  ~ white(v4) |  ~ car(v4) |  ~ chevy(v4) |  ~ lonely(v3) |  ~ way(v3) |  ~ street(v3) |  ~ event(v2) |  ~ city(v1) |  ~ hollywood(v1) |  ~ front(v7) |  ~ front(v0) |  ~ furniture(v7) |  ~ furniture(v0) |  ~ seat(v7) |  ~ seat(v0))
% 4.13/1.90  |
% 4.13/1.90  	| Applying alpha-rule on (2) yields:
% 4.13/1.90  	| (3) chevy(all_0_5_5)
% 4.13/1.90  	| (4) front(all_0_2_2)
% 4.13/1.90  	| (5) young(all_0_3_3)
% 4.13/1.90  	| (6) furniture(all_0_2_2)
% 4.13/1.90  	| (7)  ~ (all_0_3_3 = all_0_4_4)
% 4.13/1.90  	| (8) young(all_0_4_4)
% 4.13/1.90  	| (9) fellow(all_0_3_3)
% 4.13/1.90  	| (10) barrel(all_0_7_7, all_0_5_5)
% 4.13/1.90  	| (11) hollywood(all_0_8_8)
% 4.13/1.90  	| (12) furniture(all_0_9_9)
% 4.13/1.90  	| (13) white(all_0_5_5)
% 4.13/1.90  	| (14) in(all_0_4_4, all_0_9_9)
% 4.13/1.90  	| (15) man(all_0_3_3)
% 4.13/1.90  	| (16) street(all_0_6_6)
% 4.13/1.90  	| (17) way(all_0_6_6)
% 4.13/1.90  	| (18) event(all_0_7_7)
% 4.13/1.90  	| (19) dirty(all_0_5_5)
% 4.13/1.90  	| (20) lonely(all_0_6_6)
% 4.13/1.90  	| (21) in(all_0_7_7, all_0_8_8)
% 4.13/1.90  	| (22) down(all_0_7_7, all_0_6_6)
% 4.13/1.90  	| (23) front(all_0_9_9)
% 4.13/1.90  	| (24) city(all_0_8_8)
% 4.13/1.90  	| (25) seat(all_0_2_2)
% 4.13/1.91  	| (26)  ! [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, v3) |  ~ barrel(v2, v4) |  ~ old(v4) |  ~ dirty(v4) |  ~ white(v4) |  ~ car(v4) |  ~ chevy(v4) |  ~ lonely(v3) |  ~ way(v3) |  ~ street(v3) |  ~ event(v2) |  ~ city(v1) |  ~ hollywood(v1) |  ~ front(v7) |  ~ front(v0) |  ~ furniture(v7) |  ~ furniture(v0) |  ~ seat(v7) |  ~ seat(v0))
% 4.13/1.91  	| (27) all_0_0_0 = all_0_3_3
% 4.13/1.91  	| (28) man(all_0_4_4)
% 4.13/1.91  	| (29) fellow(all_0_4_4)
% 4.13/1.91  	| (30) old(all_0_5_5)
% 4.13/1.91  	| (31) seat(all_0_9_9)
% 4.13/1.91  	| (32) car(all_0_5_5)
% 4.13/1.91  	| (33) all_0_1_1 = all_0_4_4
% 4.13/1.91  	| (34) in(all_0_3_3, all_0_2_2)
% 4.13/1.91  	|
% 4.13/1.91  	| Instantiating formula (26) 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_6_6), barrel(all_0_7_7, 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_6_6), way(all_0_6_6), street(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:
% 4.57/1.91  	| (35) all_0_3_3 = all_0_4_4
% 4.57/1.91  	|
% 4.57/1.91  	| Equations (35) can reduce 7 to:
% 4.57/1.91  	| (36) $false
% 4.57/1.91  	|
% 4.57/1.92  	|-The branch is then unsatisfiable
% 4.57/1.92  |-Branch two:
% 4.57/1.92  | (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_6_6) & barrel(all_0_7_7, 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_6_6) & way(all_0_6_6) & street(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, v3) |  ~ barrel(v2, v4) |  ~ old(v4) |  ~ dirty(v4) |  ~ white(v4) |  ~ car(v4) |  ~ chevy(v4) |  ~ lonely(v3) |  ~ way(v3) |  ~ street(v3) |  ~ event(v2) |  ~ city(v1) |  ~ hollywood(v1) |  ~ front(v7) |  ~ front(v0) |  ~ furniture(v7) |  ~ furniture(v0) |  ~ seat(v7) |  ~ seat(v0))
% 4.57/1.92  |
% 4.57/1.92  	| Applying alpha-rule on (37) yields:
% 4.57/1.92  	| (3) chevy(all_0_5_5)
% 4.57/1.92  	| (4) front(all_0_2_2)
% 4.57/1.92  	| (5) young(all_0_3_3)
% 4.57/1.92  	| (6) furniture(all_0_2_2)
% 4.57/1.92  	| (7)  ~ (all_0_3_3 = all_0_4_4)
% 4.57/1.92  	| (8) young(all_0_4_4)
% 4.57/1.92  	| (9) fellow(all_0_3_3)
% 4.57/1.92  	| (10) barrel(all_0_7_7, all_0_5_5)
% 4.57/1.92  	| (11) hollywood(all_0_8_8)
% 4.57/1.92  	| (12) furniture(all_0_9_9)
% 4.57/1.92  	| (13) white(all_0_5_5)
% 4.57/1.92  	| (15) man(all_0_3_3)
% 4.57/1.92  	| (16) street(all_0_6_6)
% 4.57/1.92  	| (51) in(all_0_4_4, all_0_2_2)
% 4.57/1.92  	| (17) way(all_0_6_6)
% 4.57/1.92  	| (18) event(all_0_7_7)
% 4.57/1.92  	| (19) dirty(all_0_5_5)
% 4.57/1.92  	| (20) lonely(all_0_6_6)
% 4.57/1.92  	| (21) in(all_0_7_7, all_0_8_8)
% 4.57/1.92  	| (22) down(all_0_7_7, all_0_6_6)
% 4.57/1.92  	| (23) front(all_0_9_9)
% 4.57/1.92  	| (24) city(all_0_8_8)
% 4.57/1.92  	| (25) seat(all_0_2_2)
% 4.57/1.92  	| (61)  ! [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, v3) |  ~ barrel(v2, v4) |  ~ old(v4) |  ~ dirty(v4) |  ~ white(v4) |  ~ car(v4) |  ~ chevy(v4) |  ~ lonely(v3) |  ~ way(v3) |  ~ street(v3) |  ~ event(v2) |  ~ city(v1) |  ~ hollywood(v1) |  ~ front(v7) |  ~ front(v0) |  ~ furniture(v7) |  ~ furniture(v0) |  ~ seat(v7) |  ~ seat(v0))
% 4.57/1.93  	| (27) all_0_0_0 = all_0_3_3
% 4.57/1.93  	| (28) man(all_0_4_4)
% 4.57/1.93  	| (29) fellow(all_0_4_4)
% 4.57/1.93  	| (30) old(all_0_5_5)
% 4.57/1.93  	| (31) seat(all_0_9_9)
% 4.57/1.93  	| (32) car(all_0_5_5)
% 4.57/1.93  	| (33) all_0_1_1 = all_0_4_4
% 4.57/1.93  	| (69) in(all_0_3_3, all_0_9_9)
% 4.57/1.93  	|
% 4.57/1.93  	| Instantiating formula (61) 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_6_6), barrel(all_0_7_7, 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_6_6), way(all_0_6_6), street(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:
% 4.57/1.93  	| (35) all_0_3_3 = all_0_4_4
% 4.57/1.93  	|
% 4.57/1.93  	| Equations (35) can reduce 7 to:
% 4.57/1.93  	| (36) $false
% 4.57/1.93  	|
% 4.57/1.93  	|-The branch is then unsatisfiable
% 4.57/1.93  % SZS output end Proof for theBenchmark
% 4.57/1.93  
% 4.57/1.93  1234ms
%------------------------------------------------------------------------------