Edu-sig
Threads by month
- ----- 2024 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2023 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2022 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2021 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2020 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2019 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2018 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2017 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2016 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2015 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2014 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2013 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2012 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2011 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2010 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2009 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2008 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2007 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2006 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2005 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2004 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2003 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2002 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2001 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
- ----- 2000 -----
- December
- November
- October
- September
- August
- July
- June
- May
- April
- March
- February
- January
February 2000
- 44 participants
- 67 discussions
[clip]
> Making things practical, and packaged, is the key to getting them in the
>classroom. Give a teacher a program that meets the level of her students,
>and a lesson plan that goes with the software, together with a teaching
>guide, and if it works, it will be adopted. Give them building blocks they
>have to put together themselves, and adoption will be spotty.
Hank -- the preceding is fascinating. Can you be more specific?
********
Steve,
when a teacher teaches in a classroom, everything is laid out in a lesson
plan. That lesson plan references curriculum objectives, details methods,
etc. It's a lot of work to develop these. Typically, it takes until the
3rd year for an experienced teacher moving to a new grade level to have it
all down to a comfortable level.
The general curriculum demands come from the State, but generally fall into
line with curriculum standards that are essentially national: if California
and Texas adopt a textbook, e.g., the rest of the states will likely end up
using that book, because that's what the publishers will offer (and the
associated curriculum materials will be available for those books, etc.).
Nothing will happen in this (programming) initiative in the classroom
unless these materials are made available to the teachers. To create a new
curriculum for a single subject at the local level typically involves a team
of 5 teachers meeting half-days for several weeks during the summer (if not
much more, depending on the degree of sea-change). Not that they don't like
this work (it's a way to make some money during the summer and still be able
to golf and fish <s>), but the school districts have to fund it, the
teachers have to have the background in the area which in this case would
involve additional training, etc.
But if they are presented with the materials ready to go, and a few
web-based workshops can teach them how to use the materials, then the chance
of adoption shoots up.
That brings one to the issue of what they need. The best educational
software involves teacher and class: Tom Snyder Productions specializes in
this kind of software, e.g. It's a whole area of expertise which is outside
of the ken of anyone I've seen represented on this list, including myself.
Then there is the 1- or 2-person software, with which we're more familiar
(but it's still not our field of expertise), needed for triangulating the
previously learned material.
I think we're in a position to give some limited input; but getting it to
happen will involve educational curriculum specialists, educational software
designers, and Python users. Our input will need to be elicited into usable
form by the educational curriculum specialists, specifically those with an
orientation toward cognitive development; then put into curriculum form by
those curriculum specialists who are classroom oriented. Then put into
educational software by the ed. software designers, coordinated with
teaching materials, lesson plans, and test materials geared to curriculum
standards.
It's a daunting task.
The danger I see in this list is that one always tends to see other
people's jobs as being easy, not requiring special expertise. I would no
more tell a classroom teacher how to teach a subject than I would let a
classroom teacher tell me how to design a database, or subclass an object.
thanks for asking <s>,
Hank
3
2
To edu-sig(a)python.org FYI, memo sent earlier today
Kirby
PS: for more re 'Math Trek' (mentioned below), see
http://home.att.net/~mathtrek/
=======================
To: Ivars Peterson
Science Writer
MAA columnist
Fr: Kirby Urner
Curriculum writer
Oregon Curriculum Network
Howdy Ivars --
Just wanted to bring your attention (if you have any to
spare) to some very recent curriculum writing I've just
web-published:
http://www.inetarena.com/~pdx4d/ocn/numeracy0.html
http://www.inetarena.com/~pdx4d/ocn/numeracy1.html
I consider these pages good summary examples of how
K-12 math could be rekindled with interesting and
challenging new content.
Many educators already share my intention to include
more exposure to computer languages in K-12 math (we
were doing this at McGraw-Hill in the early '80s).
I see computer language as an alternative way of
expressing math-related ideas in human-readable --
yet machine-executable -- form.
The software engineers have finally gotten us to
the point where we're able to _clarify_ math concepts
using their codes, not just further obscure them
behind a lot of machine-specific verbiage.
Thanks again for getting 'Math Trek' out there. I'm
looking forward to 'Math Trek 2'. From what you've
said about it so far, it sounds like it'll make a
very useful addition to my working syllabus.
Kirby
PS: I'm reading your 'Jazzing Up Euclid's Algorithm' at
http://www.maa.org/mathland/mathtrek_2_14_00.html -- we
probably share the notion that "numeracy" and "computer
literacy" are not wide-apart, entirely separate goals.
3
7
Most readers have probably seen this already, but there is a
fascinating interview with Stroustrup on Slashdot, in which
Bjarne asserts that, yes, indeed, C++ *is* a great first language.
:-)
http://slashdot.org/article.pl?sid=00/02/25/1034222&mode=thread
Cheers,
Jason Asbahr
Origin Systems, Inc.
jasbahr(a)origin.ea.com
4
4
At 05:08 PM 02/14/2000 -0500, you wrote:
>Kirby - Are you using Python in a classroom situation? How do you handle
>student access to a computer? Here in my county, the schools tend to have
>a computer lab for the CS classes, and a generic lab for math/science.
>The teachers have to sign up for computer lab time. It's great if the
>students have the computer immediately available.
My focus is teachers. I recently used an InFocus projector
(courtesy of the State of Oregon) to screen content directly
from a computer, while circulating copies of my printed materials.
Some of our districts have computers in the math class,
including projectors (Winterhaven in Brooklyn is an example).
> In the school I'm at now, we're talking about how to get other
>departments more involved with programming...Sounds like what you're doing
>with Python. Are you doing it on your own, or are other teachers getting
>involved?
> Randy
Other teachers are getting involved. But I have a head start.
It's nothing new to have programming mixed with math content.
Many math text books (e.g. McGraw-Hill) have included BASIC
or Logo -- these were not for CS courses in particular,
although I'm sure they could have been used that way (I don't
know in this case, as I was in McGraw-Hill, not in the
classroom -- although I do have some years of classroom
experience).
Kirby
2
2
As part of the CP4E project, we're planning to do major work on IDLE.
This includes an overhaul of the debugger, adding project management,
customization, and more.
We've created a new mailing list to discuss this work. Jeremy and I
expect to do most of the work here at CNRI, but we welcome
contributions and design discussions. We plan to carry out most of
our own discussions about IDLE on the list as well. I'll post a more
detailed document about our plans to the list, once enough people have
signed up.
IDLE will continue to be part of the standard Python distribution.
Contributions will be treated the same way as regular contributions to
Python (see python.org/patches) but they will be discussed and should
be posted to the idle-dev mailing list.
To join the mailing list, go to
http://www.python.org/mailman/listinfo/idle-dev
See you there!
--Guido van Rossum (home page: http://www.python.org/~guido/)
1
0
Since some of you seem to be using Python quite a lot for math
related uses, I thought that some might be interested in an RPN
(Reverse Polish Notation) interpreter that I have written in Python.
There is no documentation and it is VERY alpha, but I think that some
of you may find it interesting. I'll be updating it soon, and plan
to add an interactive mode as soon as I get the chance (hence the
inclusion of a basic stack class that is currently unused). You can
get the goods at:
<http://www.crosswinds.net/~orla_redbird/brew.html#scripts>
Just try playing around and feel free to submit code if you try to extend it.
Hope this is of interest to some, and not viewed as spam by too many of you.
--
- Gordon Worley
http://www.crosswinds.net/~orla_redbird/
mailto:orla_redbird@crosswinds.net
1
0
I have put up Arthur Siegel's PyGeo code on my Starship account until his
own account gets set up.
http://starship.python.net/crew/kernr/PyGeo
Have fun!
--
Robert Kern
kern(a)caltech.edu
"In the fields of hell where the grass grows high
Are the graves of dreams allowed to die."
-- Richard Harter
2
1
I recently designed and taught a short introductory course in computer
programming for a community college in eastern Iowa, US. This course is
intended to give students an introduction to the college's accelerated
programming sequence of courses. The students in these classes are
typically nontraditional, many looking for a career, and often have full
time jobs outside of class.
We chose Python as the language for this first course for reasons that
should be familiar to readers of this list. We gave each student a copy
of the Lutz and Ascher Learning Python book.
The result was mixed, but still a success considering that this was the
very first time we had taught the class this way. About half the class
would have been at sea the whole course if we had used C or C++; using
Python, at the end everyone could write at least a simple program and
see it work in IDLE or the interpreter.
We will make these changes in the next offering of this class:
- some how-to handouts on using IDLE
- a book in addition to Learning Python; along the lines of "Thinking
Like a Computer Scientist" or "Simple Program Design."
-=- Mike Miller
Return-Path: <ajs(a)ix.netcom.com>
Delivered-To: edu-sig(a)python.org
Received: from smtp7.atl.mindspring.net (smtp7.atl.mindspring.net [207.69.128.51])
by dinsdale.python.org (Postfix) with ESMTP id 4A4001CFB1
for <edu-sig(a)python.org>; Mon, 21 Feb 2000 11:02:22 -0500 (EST)
Received: from oemcomputer (nyc-ny68-45.ix.netcom.com [209.109.225.237])
by smtp7.atl.mindspring.net (8.9.3/8.8.5) with SMTP id WAA04866;
Sat, 19 Feb 2000 22:42:38 -0500 (EST)
Message-ID: <001f01bf7b54$84b53280$ede16dd1@oemcomputer>
From: "Arthur Siegel" <ajs(a)ix.netcom.com>
To: "Kirby Urner" <pdx4d(a)teleport.com>
Cc: <edu-sig(a)python.org>
References: <3.0.3.32.20000217004003.0078a9c0(a)pop.teleport.com><3.0.3.32.20000218095126.03d5fe14(a)pop.teleport.com> <3.0.3.32.20000218132024.0396f7f4(a)pop.teleport.com>
Subject: Re: [Edu-sig] "dynamic geometry" application
Date: Sat, 19 Feb 2000 22:42:30 -0500
MIME-Version: 1.0
Content-Type: multipart/mixed;
boundary="----=_NextPart_000_001C_01BF7B2A.9AA1C880"
X-Priority: 3
X-MSMail-Priority: Normal
X-Mailer: Microsoft Outlook Express 5.00.2615.200
X-MimeOLE: Produced By Microsoft MimeOLE V5.00.2615.200
Sender: edu-sig-admin(a)python.org
Errors-To: edu-sig-admin(a)python.org
X-BeenThere: edu-sig(a)python.org
X-Mailman-Version: 1.2 (beta 1)
Precedence: bulk
List-Id: Python in education <edu-sig.python.org>
This is a multi-part message in MIME format.
------=_NextPart_000_001C_01BF7B2A.9AA1C880
Content-Type: text/plain;
charset="iso-8859-1"
Content-Transfer-Encoding: 7bit
----- Original Message -----
From: Kirby Urner <pdx4d(a)teleport.com>
To: Arthur Siegel <ajs(a)ix.netcom.com>
Cc: <edu-sig(a)python.org>
Sent: Friday, February 18, 2000 4:20 PM
Subject: Re: [Edu-sig] "dynamic geometry" application
> At this point in time, I'd be most interested in seeing
> screen shots though, since I don't feel ready to digest
> complicated source code. I'd like to develop an under-
> standing the gist of your technique (without trying to
> comprehend an entire application). If you want to share
> any "cave painting" snippets that give me a feel for your
> strategy, I bet others besides me would be interested.
I have attached a few output pictures from PyGeo and the full Python scripts
that created them. The scripts run from an IDE for the app which is a scaled
down and customized verisonof IDLE.
I am by the way quite interested in what you are doing with scripting
to PovRay, though I haven't had a chance yet to explore it in any depth.
It was PovRay that ignited my initerst in 3d graphics originally,
and I had hoped to get around to building an interface between PovRay and
my PyGeo app. Looks like you may have done a lot of it for me already.
I member of the Edu-sig group has offered me space to make the app available
for download. Hopefully, it will be up in a few days.
------=_NextPart_000_001C_01BF7B2A.9AA1C880
Content-Type: text/plain;
name="quadric.py"
Content-Transfer-Encoding: 7bit
Content-Disposition: attachment;
filename="quadric.py"
p1=FreePosition(-30.0, -22.0, 3.0,name='p1',color=BLACK)
p2=FreePosition(-20,0.0,27.0,name='p2',color=BLACK)
p3=FreePosition(24.0,22.0,-2.0,name='p3',color=BLACK)
p4=FreePosition(4.,20.,11.,name='p4',color=BLACK)
p5=FreePosition(0.,27.0,10.,name='p5',color=BLACK)
p6=FreePosition(9.,-17.0,-6.,name='p5',color=BLACK)
p7=FreePosition(10.,1.0,-9.,name='p5',color=BLACK)
p8=FreePosition(16.,17.0,10.,name='p5',color=BLACK)
p1p2=Line(p1,p2,show=0)
p3p4=Line(p3,p4,show=0)
p5p6=Line(p5,p6,show=0)
p7p8=Line(p7,p8,show=0)
pp1p2=PointPencil(p1p2,density=40)
pp3p4=PointPencil(p3p4,density=40)
pp5p6=PointPencil(p5p6,density=40)
pp7p8=PointPencil(p7p8,density=40)
QuadricArray(p1p2,p3p4,pp5p6,color=(.9,.9,.9))
Transversal(p1p2,p3p4,p5,color=GREEN)
Transversal(p1p2,p3p4,p6,color=GREEN)
QuadricArray(p3p4,p1p2,pp7p8,color=BLUE)
QuadricArray(p5p6,p3p4,pp7p8,color=RED)
slate(axes=0,scale=30,width=640,height=480,fontsize=10)
------=_NextPart_000_001C_01BF7B2A.9AA1C880
Content-Type: text/plain;
name="design.py"
Content-Transfer-Encoding: quoted-printable
Content-Disposition: attachment;
filename="design.py"
A=3DFreePosition(-24.0,-12.,1.0,name=3D'A',color=3DRED)
C=3DFreePosition(31,-7.0,-12.0,name=3D'C',color=3DRED)
AC=3DLine(A,C,name=3D'AC',color=3DRED)
B=3DLineSlider(AC,(-7.,-14.0,-6.0),name=3D'B',color=3DORANGE)
Cp=3DFreePosition(11.0,7.0,7.0,name=3D"C'",color=3DRED)
Ap=3DFreePosition(-16.5,-3.5,16.,name=3D"A'",color=3DRED)
ApCp=3DLine(Ap,Cp,name=3D"A'C'",color=3DRED)
Bp=3DLineSlider(ApCp,(30.0,13.0,2.0),name=3D"B'",color=3DORANGE)
pmap=3DPointMap(AC,ApCp,B,Bp,density=3D60,color=3DORANGE,name=3D'pmap')
p1=3DFreePosition(-30.0,-25.,-17,name=3D'p1',color=3DGREEN)
p2=3DFreePosition(31,-17.0,9.0,name=3D'p2',color=3DGREEN)
p3=3DFreePosition(17,-11.0,-14.0,name=3D'p3',color=3DGREEN)
ccirc=3DCircumCircle(p1,p2,p3,style=3DFILL,precision=3D100)
tri=3DTriangle(A,C,Ap)
tri1=3DTriangle(A,Cp,Ap,color=3DRED)
plane=3DPlane(p1,p2,p3,name=3D'plane',color=3DGREEN,scale=3D10,alpha=3D.3=
)
FreePosition(-35,30.0,-15.0,name=3D'O',color=3DCYAN)
bz1=3DBezierCurve((p1,p2,p3,A,C),color=3DWHITE)
bz2=3DBezierCurve((A,C,p3,p1,p2),color=3DGREEN)
bz3=3DBezierCurve((p3,C,p3,A,p1),color=3DBLUE)
proj1=3DProjection((pmap,AC,ApCp,bz1,ccirc),plane,O,name=3D'proj1',color=3D=
YELLOW)
lw1=3DFreePosition(-35.0,-35.,0.0,name=3D'lw1',color=3DGREEN)
lw2=3DFreePosition(-35.0,0.0,35.0,name=3D'lw2',color=3DGREEN)
lw3=3DFreePosition(18.0,26.0,0.0,name=3D'lw3',color=3DGREEN)
lw=3DPlane(lw1,lw2,lw3,name=3D'lw',color=3D(0.48627,0.71765,1.0),scale=3D=
20)
orig=3DFreePosition()
proj2=3DProjection((proj1,),lw,orig,color=3DWHITE)
proj3=3DProjection((proj2,),plane,O,color=3DGREEN)
Sphere(O,A,style=3DLINES,color=3D(1.0,0.2549,0.15294))
slate(axes=3D'no',scale=3D50,width=3D800,height=3D600,bgcolor=3D[.9,.9,1.=
])
------=_NextPart_000_001C_01BF7B2A.9AA1C880
Content-Type: image/jpeg;
name="pascal3d.jpg"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
filename="pascal3d.jpg"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=
------=_NextPart_000_001C_01BF7B2A.9AA1C880
Content-Type: text/plain;
name="pascal3d.py"
Content-Transfer-Encoding: 7bit
Content-Disposition: attachment;
filename="pascal3d.py"
p1=FreePosition(9,-15,4,color=CYAN,fontcolor=GREEN)
cp1=FreePosition(-10,-20.,13.,name='A',color=CYAN)
p2=FreePosition(1,2.0,-22.0,color=CYAN)
circle=Circle(p1,cp1,p2,alpha=1,style=OUTLINE,color=BLUE,precision=50)
circle1=Circle(p1,cp1,p2,style=FILL,color=WHITE,alpha=.3,linewidth=2)
cp2=CircumPoint(circle,angle=20,name='B',color=RED)
cp3=CircumPoint(circle,angle=60,name='C',color=RED)
cp4=CircumPoint(circle,angle=190,name='D',color=RED)
cp5=CircumPoint(circle,angle=260,name='E',color=RED)
cp6=CircleSlider(circle,(8,-28,22),name='F',color=BLUE)
P=FreePosition(-2.0,29.0,12.0,name='O',color=CYAN,fontv=GeoTOP)
l1=Line(P,cp1,color=BLUE)
l2=Line(P,cp2,color=BLUE)
l3=Line(P,cp3,color=BLUE)
l4=Line(P,cp4,color=BLUE)
l5=Line(P,cp5,color=BLUE)
l6=Line(P,cp6,color=BLUE)
pl1=Line(cp2,cp4,name='pl1',color=BLACK,linewidth=2)
pl2=Line(cp1,cp5,name='pl2',color=BLACK,linewidth=2)
pl3=Line(cp2,cp6,name='pl3',color=BLACK,linewidth=2)
pl4=Line(cp3,cp5,name='pl4',color=BLACK,linewidth=2)
pl5=Line(cp3,cp6,name='pl5',color=BLACK,linewidth=2)
pl6=Line(cp1,cp4,name='pl6',color=BLACK,linewidth=2)
pip1=LineIntersect(pl1,pl4,color=GREEN)
pip2=LineIntersect(pl6,pl5,color=GREEN)
pip3=LineIntersect(pl2,pl3,color=GREEN)
p1a=FreePosition(22.0,14.,-9.0,color=PURPLE)
p2a=FreePosition(0.,7.0,6.0,color=PURPLE)
p3a=FreePosition(14.0,6.0,3.0,color=PURPLE)
planea=Plane(p1a,p2a,p3a,show=0)
cp1a=PlaneIntersect(planea,l1,name="A'",color=BLUE)
cp2a=PlaneIntersect(planea,l2,name="B'",color=BLUE)
cp3a=PlaneIntersect(planea,l3,name="C'",color=BLUE)
cp4a=PlaneIntersect(planea,l4,name="D'",color=BLUE)
cp5a=PlaneIntersect(planea,l5,name="E'",color=BLUE)
cp6a=PlaneIntersect(planea,l6,name="F'",color=BLUE)
pl1a=Line(cp2a,cp4a,color=DARKGRAY)
pl2a=Line(cp1a,cp5a,color=DARKGRAY)
pl3a=Line(cp2a,cp6a,color=DARKGRAY)
pl4a=Line(cp3a,cp5a,color=DARKGRAY)
pl5a=Line(cp3a,cp6a,color=DARKGRAY)
pl6a=Line(cp1a,cp4a,color=DARKGRAY)
ip1=LineIntersect(pl1a,pl4a,color=GREEN)
ip2=LineIntersect(pl6a,pl5a,color=GREEN)
ip3=LineIntersect(pl2a,pl3a,color=GREEN)
plinea1=Line(ip1,ip3,color=RED,linewidth=5)
plinea2=Line(ip2,ip3,color=RED,linewidth=5)
plinea3=Line(ip1,ip2,color=RED,linewidth=5)
plinea4=Line(pip1,pip3,color=RED,linewidth=5)
plinea5=Line(pip2,pip3,color=RED,linewidth=5)
plinea6=Line(pip1,pip2,color=RED,linewidth=5)
pcircle=Projection((circle1,circle),planea,P,color=BLACK,alpha=.2)
slate(axes=0,scale=35,bgcolor=[.8,.8,.9],width=600,height=480)
------=_NextPart_000_001C_01BF7B2A.9AA1C880
Content-Type: image/jpeg;
name="quadric.jpg"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
filename="quadric.jpg"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------=_NextPart_000_001C_01BF7B2A.9AA1C880
Content-Type: image/jpeg;
name="design.jpg"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
filename="design.jpg"
/9j/4AAQSkZJRgABAQEASABIAAD//gAXQ3JlYXRlZCB3aXRoIFRoZSBHSU1Q/9sAQwAIBgYHBgUI
BwcHCQkICgwUDQwLCwwZEhMPFB0aHx4dGhwcICQuJyAiLCMcHCg3KSwwMTQ0NB8nOT04MjwuMzQy
/9sAQwEJCQkMCwwYDQ0YMiEcITIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIy
MjIyMjIyMjIyMjIy/8AAEQgCWAMgAwEiAAIRAQMRAf/EABsAAQADAQEBAQAAAAAAAAAAAAABAgQD
BQYH/8QAQxAAAgEDAgQEAgcGBQQCAQUAAQIAAwQREiEFMUFREyJhcTKBBhQjQlKR8BUzYqGxwSQ0
ctHhQ1OC8TVzRBY2Y4OS/8QAGwEBAAMBAQEBAAAAAAAAAAAAAAEDBAIFBgf/xAA9EQACAQIEAgcH
BAIBAwQDAAAAAQIDEQQSITFBURMiYXGRscEFMoGh0eHwFCNCUjPxcgYVgjRTYrIkQ5L/2gAMAwEA
AhEDEQA/AP06IiYTwxERAEREA6JXqJyYzut8w+JQfaZIlkas47MsjVnHZnppd0m5nB9Z1V1bkwM8
eSCRyJEvji5LdF8cXJbo9mJ5iXVVMebI9Z2S+H31/KXxxMHvoXxxNN76G2JxW5pP97HvOoIIyDmX
KSlsy9SUtmTEROiRERAEREAREQBESlV/Dps3YQDz+IVNVUJ+GY5LMXYseZkTZFWVjFJ3dxEROiBE
RAEREAREQBERAEREAREQBERAEREAREQBERAEg8jJlKpxSY+khuyuStytv+5HrvNargEkA49ZnoKT
TQdcTTjU4ULuOg6yuOkUiXuyFAJyQSOuJAA3JyB6S+wJHmUic2YrTIBIzzElsgLv12PUy5OT90gD
EA6KYAKnI7coKlFBIBDct5C0RL3K4+7jf0lVALMTy5S5BTJYHaVUEUxz33MPcgSGOATJkEamVe8l
7BEqpFMHaJJOcYAHtGDnGN4QZESxwNlJ355ksAg2YNntJuCkkKWOAMmAcdMy4XQuplbfkZDYRDgL
gaSGHPMpLKASSxOO4GYUGo4UbkwDpTUhdffYTS5Ntac/PVGB6CQiCpVC/wDTQZJ9BM9eq1xXz05A
dhK/eZ3sii7KWPsJFNDUcKvMyagIbTjGJ2AFChqP7x+XoJ22cWJcozLSBAppzPczlVfO2VI9BiWL
mnS0gqSTkgjecJEUS2IiSBk4nZyWUYGo/L1lOcs5ycDkOUrAAGTiSfblHIbgHMiAIkjHWQSTzgCW
OFXGPN19JI8oDZ36CU5mQSJJ3Ow2jHTB1SdlAwTq6ySCss23lBBHcSBsM5HtAGc+kAEYx6yIgDMA
SVAOckDHeCegO0ljyXIIHUCAVJycySc9MSIgCWVdW52UczK4kliQB0EAHGduUiAMnEQDtbU/ErAd
BuZ6sy2VLTT1nmZqmeo7s1Uo2ieLERPCPJEREAREQBERAEREAREQBLLUdfhYiViE7bBNrY0JeVVO
+GE7rfIfiUiYIl0a9SPEujiKkeJ6yV6b/CwnSeLLrWqJ8LGXxxf9kXxxf9kevEwLfOPiUGdkvabc
8iXxr05cS+OIpy4mmJVaiNyYGWlqaexcmnsJh4hVwopjmdzNxOBmeJXqeLWZvWW0o3dyqrKysc4i
JqMwiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAJyuDii3rtOs5Vzso7sJxU9xnUPeR2pjJ
UATuV0fEjDPLecqSlnGATjnidDhmONWPzh8iCB8JOTn+shhrK6nGSestn7MKG2J3HaRUbLKuVIA5
gTiRKLBGqZby/niCNTDCH1AjGwQICT1B3kuAi7o4Y8iTJByqb7AHc4l3bYKGYqOhjOllCuwxvuOs
ZzliwyZC3uHsV5LjI3lV5k4HYSWPMmKakjkT1OJL3ILFSoyynflJQquTqYOOWBJ8pYk6go5dZCHW
2TU9QWkN62JS4nRW0qT4iEnfBGTOQBdumT8pao5PlypHcDEqRpGDjfeSiGSqlm2XOOYEMQThQwHY
nMkroTdGDHrmQmFyxLKemBJAZtI0qx09QZ1oLpQ1DzOwnFQajgcyTNtKmKlYU/uIMk+k5k7I6irs
h28C0xtrqc/QdJmQaFLspIOwIlqzm5uSQMZOABKsNdQIgI6YMiKstQ3qTQQM5d/gXc+vpLay7tWZ
lGOQMmqQAtuhGAfM3czi5+4MYHWTuRsVZi7Fjz9JERgn5Ts5Ev8AAuxIaQg+8c49pDHJ55HSQSRL
IpOTtgdCZAGTiWYHITAz3HWGCvxE4Hyg46SzLoGGUhpSSQJZRgaiNpCgE7nAlviO3IdzIZJVsnzb
bycYAJBweUlUZzqCEr6SGwW8oOOxgEoQMtqYHpgSpJdssdz1MljhQoY45kHvI5DYg5gAksRy22gj
BxGNsywXC6mU4PIyQVIxtg5lshV2YhjzGJCYzliR2IEhmLHJOTIAVipyMfORESSBLIoOSx2H840k
LqMrAJZtR7DoJEkbb5GR0kQCSMY9ZKKXcKOplZssaWWNQ9NhIk7K51FZnY3KoVQo5CTETKbDxYiJ
4p4oiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIABI5GdUuaqHZifecokqTWzJUnHZnetfN4DArueom
AVVPWd3GpCPSecec9PB15OLTO3WnxNgIPIyZjBI5GXFZx1zNyqridKsuJpicRXHUToKinrLFOLLF
OL4loiJ0dCIiAIiIAiIgCIiAIiIAiIgCIiAIiIBGoFiudxvJlD++XHUHMvK6c3K6fB2OYyvfsE5V
TmrSX1zOs5He5UdlzFTa3cWR3O6Zztn5TvkIvldgx6YlKB0knUyjuBJZi77tn1MPVkFw2lAQ6E9s
SlMZLuVQ+5xJLF3A8px8gZVVLeUIM8zicPdI6WxdF2Lmm2Omk8pGzHJLAfnJbSPLpdT6mGYLT0rU
YDHIjEm5BUNqZj4mRyGoQ5yQuQQOoEsGKUgAyN6aZVRsXIBHYmI7Ey3KspLCmBkk9Jd107BGU+pl
aa7s7IxA2BBlk2OpmZexAhPiRYh20UwqOwJ5jEsraKezJ7EbznnxK2S+w2BM66WqNnyEDbtmFzZJ
zUc22IHQyyqWJbQSvpFTdgoRQf4TnMPhRp0sG65M6OSvxN1x+cl2ycBiVHLMA6ACrMGPPadETDeV
1YnpjMi5Ni1EaKRc435TrUbwLTTjz1dz6DpLIqtUwf3aDJmdma5rs7KSo546CV7vU62RXT4dLJUh
m5H0l6eaFI1T8bbL6eshEFesTuKa7nfkJFap41XY4Qch2E730I21OYJUFurSklm1GOS5wN50cjnj
aSqsW04OesDAGSD6YnVcUqedTCoeoENhIpUKqNKM2OoIxKY2zn5QSXbLHc9TJALtjb+kLQbll8qa
iqsD3MlU0qWdGx0IOJRyC3wgY7QWGkAZz13gEE5MAFjgSJbYLsfN1kkAnYLtJIx5NIJzzElV0rrI
Vh2JlVG+oqSo54kEl6mEGArKfUyinSC2SG6RszdcfnBOdskqOWYBCjJOSB7yQCxJ27yTuQgIPYyX
GkBSq57gwCApqNkJsOYEhiM+XIHYmWICLgqwb3nOEGTqOnTnbtIiJJBIOOmZK4ByRkdpJUKuW5nk
JTcwCWJY5MAZOM49ZJOkYUnB5iVgEtzxkHHUSIkgHGog6YBHOevQp+HRVcb9ZgtKeuuDjYbz05TV
fA0UY8RERKi48WIieKeKIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAmGsumqZumW6XcNNOFla
duZDM8RE9IgREQCHdlACk852Wsw57zO2S6495eIyabsIyabsaBXU89pcOrcjMkS1VXxLVWfE2xMg
qMORnQVz1E7VVcSxVYvc7xOYrKfSXBB5GWKSexYpJ7ExESSRERAEREAREQBERAObjFSm3UnTOk5V
iy6GUDAbfPSdZRT0qTXc/l9jiPvMTkuDcuewAnWcqWDUqN64nc90i2OzNdJjo069IPPtOg6YZCT0
xK0dlzrUHsRLKCzkkIfQnEh7hFX8lLJRDnrneKaYTUUYjoQZDrrdR4eATyWXBAfbWgHznPFkkZxu
WcfKRrLDeouSceYZlmfUQvitjrqEhmLPgFGAHQYiWqsStypzUqY8v9BD7tgKBjoIHlXdQc8t+UqR
hMlW82wInTdkcrVllC4Aw69+smrUwuA7EdQRLBgibO4PbE5H7RvM4B9Zzsid2WpAhQAVJbmD0nR8
Ku9NPkYUE5Yqhz3OJzwajnSvyElEBV0jUynT0IkDc5YnHeS2NWAGGOYJlttkWoQDzyJ0QSjEnUai
55eYZnVCQpdgOykDEplmYIrI2ey8psSkAwLBTSQZO8rk7HcUcKuqnbrSGTUfzN7dBOBGkBFDBzsR
mXcmpUarUVsHcEHlJo4pqbh+Z2Xb+claIh6sVD9Xp+EGIfmcd5nOy46nnLFtblmYkDvKFiec6SIb
AGTJCl28q/ISDtgYGe8voIAXQwf+0lsgsirq1EMEHz3larljjWzD1l2qaUCrUfbpjE5L1bIyOh6y
FzJfIfCMAg59OUsy6EwVUk9QZKqd3IQjsTObEE5AA9BJIIiJYADBIyJJBZFxhtYU9MyUy7Zwpx0O
0hmwNAKkdwJLeRACiEnqDOToq/mfAUA8sCQw04XBDdZIXCamVt+RELjOWLDsQJJAyFXZiGPMYhTo
XUGUk9CJK+dtTOAf4usnepU+6cfIGQSAuhSxVGB9Zy6y9QgnAULjtKSUQyScnrj1kScbb5zA75G0
kgknC6RgjnykcpcAIM7FuftIRCfMVJXriRcmwYMPM4O/IyEOk51EHpiQTk7Zx0zIgAkk5POSqljg
Y+cEAYwQcyzDQNJAzzyDAKhSWwBkyWK58oIHqZAOMy1JPEqqvcx2hcjfZU9FHV1aaZAAAAHISZmb
u7myKsrCIiQSeLERPFPFEREAREQBERAEREAREQBERAEREAREQBERAEREATlcLqpH0nWQwypHedQl
lkmQedEkjBIkT2SBERAKc6uewl5RR52Pyl5ETmIiIknQiIgCMkREAuKrjrmdBX7icInanJHSnJcT
UKqHrLg55TFJDEciZ2qvMsVZ8TZEzCsw9Z0WsDsRvO1UiWKpFnWJUOpOMy07TT2LLiIiSClUZTP4
Tq/KXByM95WoC1NlBxkSVOpQR2lC0rvtS82cL333EzlbjyMe7GdGOFJ9JS3GKS/nO376LV7rNy58
LSNBGPmIZCFA8NSTyIOZCg6dRVD15yQm2o02xz2M5JObDDjysNsjedFIUHFR1J9JQaTV1AuB+eJY
uSdOvyjlqkLUPQI2Aza1z2IzmKeXBcpTOT1OIqsSuMoR6DEhlwqoEUHupzG7GyKnzv5V+QhcNWz5
lVeWN95cKFGHVge4kKwSmdLuCTnGMSW7uwS4li2pgPFOBv5hKEmpUxlD6gYli3h0iQ6E9sbyUUrT
yURuu5kPcngVrMFXToUE9QcyAuimMqwJ5HMqo11CdBKruQOktsz/AHgv5yVucslcKNRZg3TaXU4G
fETJ33GYDlm/e7DlqEENVcUwUOeoGIfaSjrbrzqtpyeQ5TrXytFaa08M/mcL/ISQFGMgGmgzz/lM
9R9dQ1KiOGPrtK93c62ViFp63FNdSjm2TnErXqBjppkheWmdHYUqRTJ1tuxH9JwXLHWzYPQmdrmc
vkD5VwGGe0qu3mIBHYyN2bpmWCFm0hckc8Ts5JVdtbIxXuIVyh2YgnqOYEltI5BhjmCZTPXJyecj
cbEk+I/mfbuZbBZgoKEL8swToTAdGz6bzmpAOSAfQwC9Qj4dCg9wZziXpprYA5x3Ak7IbshVB+I4
EupwuQ6+xGZBbVhNQCjkTDkswXKn1AxI3J2KjLMTgdyOUnBqN5U+QkspACaV1dwcwRoXBRg/vJuQ
VO5woOO3OWODhA50/wAQ5SchFyrMG9pKHClta5PQjJkEkO2FChkYegnMEDOQDBOTmACxwBkyUrEX
IkqATvkD0g4/3k5wuATvzEkgEs5A3PQSQh1aQRn3k5CJsRqPP0k40U8lVOeud5FySjfhwMjqOsZw
uNwfeQuOZBI9JIAJ3zjvAIxtvnMsuw1ahkdCIHnbzPjHImQ7Fm6bdhACHBJKg+8rESSBN1jS51D7
CYgMkAdZ69JBTpqo6CV1HZWLaUbu5eIiUGkREQDxYiJ4p4oiIgCIiAIiIAiIgCIiAIiIAiIgCIiA
IiBzgCJ0ZAV1Ly6jtOchMCIiSDDWXTVM5zRdLuGmeevRlmgmciIiWAREQBERAEREAREQBERAEREA
SV3YSJZcb57TmfusmO5U85YOw5GVidrQi7Oy1mwSd8S4rKee04fc9zKyYVZFvSSVjXrBUkHpK0CD
QTSCBjrMwODLJUYLnO5JJnEqyVeN1un6MKqsybRorHFF/aWor5UWZatUtT0kczNdB1ZtgDgcjNCm
nNvsNKmnFGlwT5RTAPcQ40qBpcH1MtpCrk0398ymQFyXYfKL6XO7ahG0qNNRgT3EvyGzoT2xKpzB
NQbDbUJK5dycI2Nu0hKyD1ZVhpRcohyeed5KpnLmm2n0lHGutpCAEfh3zLsAGCgOvffMLmGCwC7O
66umJAYswzU2HItId9wquxAHIiWzop4DKc9Mbwt2w+RDZqVQuUIXfsDIqnfARQR2MINClmRGye8q
V2BKnSe0J6XDWtidOlQCrKx3OTOmoIuEqOD2xic1IB1MWAHIjeXVtT6jUG3LUJNraEdpYvpTZ6Z9
NM7UEKI1VgupvhnJFatVAGhgPlNgUeIfKPDpb4HU9pxJ20O4ricqw0oKQQknzPjvKIqopqHOF+EE
75kYarWyVYMTkknaVr1QcBSyhdlGJKXAhvicnYu2AzMCcnMmo2kaFZWXviKfkBbIDdMygBck7d52
cgKcDYHVynQU9K4KOGPXOBIVCx1eGdPTTDHGwzv0O+IbuCp0lsHIUdZdNvN4i57EZkALyFTAG+GH
WTUc4xqRs9hHYO05uxc5OPkJWJbSQuoqdJ6zrY5IxyGDmdSwp09KO+TzBGJNMCmutmYMeWBOWfEf
zNz6mc7nWxZWKU9ipz0I3hVwpchWHYmMF2wCu3yk6S7YFPlz0wCEQ/EUYr6Sy6c6izqem2ZV8AhV
DL3BMs9Q6cCo59CI3BSo5Y/EWA5ZkFyVC7YHpIA57yVU417EDoTJ0RBBGMestjSmSrAnkZXILZI2
7CSBqbbOn88QAq6mxL4QDIcZHfrKnAbSrHT3MmqxOFypHcDEjcEAGoxO2fykEF2wq/ISOQ5A5lyu
hfMrBjyMkFTg4Cg+slm0jSrHT1BhG0knUQcdJQkk5POASDjPrIiAMnAkkCSOe/KRiWOAMKT6wDvZ
09dbV0WelOFrT8OgO53neZpu7NdONoiIicnYiIgHixETxTxRERAEREAREQBERAEREAREQBERAERE
AREQCyPpPp1El0x5l3Uykuj42PwnnIfMFIlnTSdtweRlYBzrrqpH0mGeiRlSJ55GGInoYOXVcSGR
ESiVA7MAPhOJsujm6WheIiCRERAEREAREQBERAEREASw2Q7SsschB2JnMuCOo8WViInRyWbkBKyW
+KROYe6iZbgc5AULrwMDVyll+KR8TsQdgBkespqf5Yvl6pkN2S7yrjOkes1WiM1Q6QTt0mVt3UfO
brIeViVbB2BEuT1ZogtYo1ErqA86459ZWq2wVXY52IYS4IUatbhvaUBzVyai5HcZmhrSxpRdnKqF
DI2dthBXSmCiEnqDvIALPqIU+mcSp31MEOP4ekJ7sCkAELsjbnYgyyELli7qfQSF07Y1AAe+8lnO
nAq7csMJDdlYbsonmcszjOeZ6ySWc5wvbHKTp0jSrK2ZFQYIXSuR1BkvRWC3uCNTBVQDHQShwXOA
QOWCZdh4aeZGDHkcygwBv0k8e4glmOAgY45kToPKmFZDnpjlOdMlm1M253yZ2pI1WpnShz0JxHC7
J7DvQU0U1lFLHZSDuZe4+ypLR0k9XI7yyBBU1FQEp9B1acqRDVGuKgOEOSCeZlW7ud8LEuBbUQhJ
Dv8AFjcgTJku2CxKr3lq1ZnctrbU3xAymyrsRnrLYqy1OGyajamxkEDliAhPkCgnnkQq4XWQrDsT
LKmkZem/uDiTexFiTpQbo6nsTzlM4y+pg/TaT5WbcsFHLrKO5Y7sSByzCQbOisQhOtMnfBGTOROT
mM7Yk4OAMZJ5SbWIvcIpZtlJ7gS4ClgdLaO3OAgUYYMrd8yA5AJDEEbDEjcnYl3LEKKjafXpBGBo
VlbPpIQ4y+tc9iM5l1Q7sVRs77mNhuNBC6dCsT1ByYKrTXLU3HrmVQanJFM4HRTylHYE+XIHqcwC
AfNnJ95LMXOWJPvIBI25Zlz9mMKytnntJIKgFmCgjaTU56dKgjsZC7AkgHpvLpTAGqorBeh5Q9Ai
uj7pUhu86O601xSZgeu2MytNgCTrZfYSjMXfdiR3Mjdk8AjFckY+YkqNtZAIHQmApZtII268ocgn
AULjtJICYZiShI54HSVY5PXHrG49I2x6wCIll8o1AjPYiSo2LkAjsTJuQQRpGDjfeSV0AhlIbpCK
MFmUlfSRkFuuPzkEkjyrqywbptOlqmuuOW2+4nJ3LHdiQOWZusaeELnrynMnaJ1BXlY1xETOaxER
AEREA8WIieKeKIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIB0RhjQ3I/ylXUqcGVnRSHXQ3yMj
YHOYq66ap9ZuZSpwZlul5NNOFlapbmQzKxwpPacrYfZajzY5k3DYonudp0QaUUdhPQ3n3FW8+4mI
idlgiIgCIiAIiIAiIgCIiAJZtgBnpKyW57Tl+8jpbMiSvxCRLL1OOkT90iO5U7mIidEFl2BMrgat
huRlvaWOyD1lMHUCDz2xM9TbN2rzsKmyI3NT2E9CyyFzlgM8xPPXeo35T1aB0UFAdlJ6Y2l8NZeJ
rgut3JF3fJ2qEgfiE5sfMQCpHcCdQ5WnsyexG8qqnQWKocnOcy6TsXInTjylATj7plai6Qq6GBJ6
mXVNizU2xzGDOS71sksFHI88QlZJA6hgiYFRwT0xILYIHiIcb8pIbU+TV2HLUJzLF2IypydiBic2
uyU7IsozqcqpHYnErSQuS/hnSeiyaw2WmEXUeoOZL4poBpZW9TOnrIjgc289TYHSO+8VMZCISQdz
kS6EU6ZIdwx5jE5puSxOJK1DLZIwi4838prVNFPdF1NsCDkzPQQ1HLlVIPQmbaYBY1AmFQbKOpnM
pEpEVkOKduoJHU+s5VmRSKYYhU5EDme8uT4amo2oNU5dSBMrHOEVmI7GI72EmF8zFmbl1Mgaqrfd
2+UljpQKCpzzltJAC+GrE9QcmWXOQELNkU9hsdMNgbAOD1B3ltKouTTce55yqkKCS7qTzwJBJDMF
TSjv7EYnKSzFjknJgDJxOkrHL1JUbFtsDoZammoklCV9DjEhtyFCjI226yzjRhFDBseYSGECQxxg
hR15mRszadeFHLVLbAaVqMM88jAkltKbPTOOmmQSMl2x9mwHyzK1cDbQoPcHMlcCnqKIfc7zngsS
Qu3PA6SUGBsp2O/I5gAfeyO20AAtvqC/nJdsnAYlRyzJIJQ4y+tc9iM5kAGoxO2fyjTnCgg9Z0Kh
V8yKB3B5yCSqLrYnwyQOixVfUQqqVA6EyCfLnSRn4ccpC4GSxYHptHaCNgNicnmJLYRcBlbPYQjE
MWyM+ozmRvUfpk/KSQAMKWIBHLnK4OM9JYKXbCry6CSdJYaQwHXrAIABPmyB3gDU27AY6mWYjZA5
0+vSS50oFDKw9BAI81Vvu7fKVc5bAUDHaTyp7qDnrneUhBlmIAAAIPXJlQSOURJILIutwo6meuiB
ECjkJhsaeqoXI2E9CUVXrY0UY2VxERKy4REQBERAPFiIniniiIiAIiIAiIgCIiAIiIAiIgCIiAIi
IAiIgCIiAIiIB1GKi4PxDl6zNcJmmRjcTpynRgKyH8WN/WTCWSSYPCrearST1zO84gE3lTP3Bidp
69PW8imGrbERE7LBERAEREAREQBERAEREAlfiEE5JkrnOR0lZyveZ0/dEsNkPrKyKlWnTUanVeu5
kTa0uTCLeyJiYKvGLOkceJrPZd5lf6QIGIW3c477SqeKow3kbqXsnG1fdpv46eZ7bbEDsJUbef8A
DPAf6RHP7tF35ZyZos+JVruuqkIqg6s5329Jmni6Tp5Yu7LcR7ExlOnKpONku09aluxPrPVpsXpK
GqAe/SfHPccQ3ajeUGyT5cyKPHb4IyVLxVcclVA2fYzunjoQeqfyPQpexKs7yhNPxv4WPs3JY4yh
C/LMaclVFMbc9J5z5ahW41cKShypOxbC4+U31LXjwpColakG6jG00LFKbvGL/PicVPZrpvLOpHx+
x7dQgeUK4PqZUNpTZ2yeYI6T56ndcfR2FWlSUAfGxxmQ30iureoq1qdFzyyr5xJljILWSa70F7Lr
SeWm4yfY0fRlvCpeVlJPTG8IminkqjD1M8P9vvUId7GqVB5ouxE0Dj1jVIU5ot2ZSJZDE0X/ACKZ
+z8TFe433a+Vz0UGWLspKjbaDhnG7AfnAxoAAIPXJkqccnIzscy/h3mPZ9xLnXjNXrgapVxuKakH
PWX143DI2Nh5ZFBC7ltKsOWCZynxJtwO6oUVRoUMeRBmw0kULRZWCp53IOxMrbIuTU0khfhHeRcO
tJCivUVs+YgZyZVmvqWWSM9xcF3LB2HYYwJwTbNQsAemesMxdwC5I7mS5NQimpUqvI8p1KSpxvxZ
XuwiliXIQ56E4koms5FJt+Wk7SlTAwuhQe4OZYfZJhtQZhtvMbcnrfVkqxZmTIGXUD55MpUqE7B2
YespqLYDMcDlC7ksWAI336y5VJR3I3I2xnPynTToTJCnPLflKjNR8+X25S6JrcnQdI6LLYV3J5bE
ZSUU0lFRlJz8OIUhfMXdW9o2L/fUD57w75woqMQeeoS8glWJ8xqrn+IZnJ2LN0+QxOj1CBgMjZ7L
KKDjOAc7ASVzD5BhuFCjPp1ggKNJUhuu8sE0KS9N/fOJQAFssTjvCILl9CAJUf2xiQvlXUGXPYiF
AJz4gGOWoSdWt/Ng45YGMwSE2QsyKR6neVALkkKdI5gdJZgztp0gkdpV8KcBWU9QTCAXSWOSwXpj
eKjFmxqLAcsyAdK7Ehj09JI8oDBgT2xJIB/ACCM84ZSuEwCx6g5lgpVSxVGz6yQmlcvTf3BxIuTY
qRoXBRg/vJBFNcq7hj0xKhvtMgkf1kO5Y7sSByzFhcsjkFjlc89xnMoTk5kROrHNxEnGBuNzykQC
TjbEiJ2tafiVgCNhuZDdlclK7sehb0/DoqvXrOsRMrdzalZWEREAREQBERAPFiIniniiIiAIiIAi
IgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAjVo83beJnvqnh2dQ9SMCcTlli5PgcTlki5PgQKaXdoLu
iuHJOsdff9f+80127NY06J0g4XSw7y95QRwLi33ptzA+6Z6uDbdCN97HVOLdJN721MMRE0kCIiAI
iIAiIgCJSpWp0ULVHCgc8zya/H0U6aFFnPIM2wlVSvTpe+zZhcBiMU/2Y37eHiezOVa5o0FLVKiq
B6z5yrf39yyrrK6uVOmN5oXhN0qLUZkdhvoc7D/mZv1kp36KLZ6n/ZadCzxVVK/BfX12Nrccokst
ClVrN/Cu04Vb3iboXFBKCficyy8SWypla9stN+hUg6p59S/+tVddbDheVINhR795mnXdtZ6vgtPu
b8P7Pje8KCyri3mv3Waj8XodaTcTvKTlWJX8XLPtOJt6AYLftcow23ORNH1+pUAV7pKCfhprkzhX
q2ykGj4leqfv1MkL8pTPI9b3tz+m56FHplJxyZU9sqs13yaS8L9h2a34TRXCh6r9FBOTOVva1Wqs
xsWZeiZwvzPWFr07R0rUtVWp9/UnP27T2F41a+Hv4gJ6aDO1GlP3mo9xnrVcZRX7cZVL8W35K1u8
81+C1rlsmhRoj0JzH1FuHXKYqroYaRsNRJ6TXd8bpU6Q8AF3blkcvecbepZ+avcXK1K5HNtgvtJq
06DTVPfnczxr+0JUX+oTUHdKKTbfje1ubOlnwc1rhWrqqUtWygfEPWe8/AbCtkm2pA9wcTPZ3Fuz
0lWvTPlG5Ydp6Vxc0LagalR6QX8QbM3YOjRVBNpN21ueasdjarTu1wSV0eeeAWmsaFqoBz0VDPLr
Una7Fvwy5uqjA+cs+VWbM3fF3GjXb2fItyZ/b0nsWdrRsqfh0c0wORxz94jQjVk3BWjz+n1N7xdT
DK1aWafJ6pd/08Twbrgd7XZdXEWrd0qZAna3pXlgMfsy2rKvNkOD/Pee6jYLNrXPYjJnG5u6VpRa
tX0YA5Z5+wnTwlODzp2t+cSpe069VKlKKlfha3/1secvHqCsVr2VSiTtkqcTlc8a4WQKfhmvUO4C
rJS2u+NMHq0no2PRBszzTU4PY1xpFuAq7AjmPnEenqRtBq3ajuSwVGadRNS4qLul+ck/iZvrvFK4
Bt7MUlPJ6hnrW3ipbg1qiGrjByM5nmNwu4osFsuIVQg+7V3Ala3EuI2YxdW9OrSXnUpbSVUlDWrf
zXyOKlGFZKOHy92qfzevwZ6zEthdsnbtNVGngbJvy2nzY+kdF6606Fu1Wo48obYfnPq+Fq7261rq
kaDoMsNWR6Sx4mnPqQdzNPBV6MVOqrX5k1QtCpTDMUwDpA5knrMtesWJxUc9METjXreNxUVDVcKq
eRQOUsv2j+dthvqkOajuUVOCRKnw6eQRqbbBHSMaEyUQ+uZIy7FsIwG3PErpNRsLT5c9MpbcnqVi
mmfMyMV57SjHUxPSXq6VIRVZcc8nnKcl5kNO1zIfIg46SzOSAu2PQSF2GrUMjoZamhPnwGA6ZkWc
nZAstJm8oUZAzkHMtUwABodT03k6QBk0nHsZzQ+fOWA6EbzbTgorQhl9YRcCo47DE5oTqLEjPr1i
o5Zsaiw9ZYKT5FZSOeeUs2IKgNVJby/0lgyFt6ZzyAUxUIA06EB7g5kFdC+ZWDHkYAbBfADAdc7w
xCrpRmIPMEQjaVJ1spPYc4TmXZhkb4PWATvTpgZGW6Y3gqUUlgpz68pKlqjs7BWPqcSmk1GJVNh0
EAlQFXUytg8iDiQoBOWLAd8ScKzAAMF/OWLajoFUhf4oBCksdTVBkfi3ltLO2o6CPfEio5041I2e
wlchaYyinPXO8gEOQTgKFI7Q+2FwwPXJlI35zqxFwCRyiSoBOCQPUwzE4zjbtJIJXbzEAjsZWSTy
2kQBEScDTnIz2gET0rOkadLURu28xUaZdgMA5258p6qqFUKOQlVSXAuox1uTERKTQIiIAiIgCIiA
eLERPFPFEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBMV99pUoURvqfJHoJtmIfa8VO2Vp
J+RMoxGsVHm0jPiNYqHNpfX5GmsuaRHacrK6+r1CGXVTbZhNBGQRPPYYYjtPWwctHE0JuLujVeWy
028SkQ1FtwR0mSbbK6SnmjWGaT8/QzldW5oVDjemd1YbgibDqUU1miZ4iIKxEq7rTUs7AAdTPIvu
NpTJpUMa/wAR5CVVa0KSvNmvCYGvi55aMb+R6Nze0LRdVWoB2HUzx7jjtSqStsmgcgzDc+wnCnW1
thaZrV6h2ap39B0E30uA0tXiXFVnc88bCYZVa9fSlovzj9D6ClhMB7P1xesuHb/48u9/A8a4qVXK
s7lmJ3UHOJ3FWitPFCmRW61K33Z6dy9vZp4VnSRq7bDAyR7zlbcJrVUxcNopk5Kjmx9TM/6eam1F
3fl8T0P+40XRU6iyRWy2b/8AFcPk+JipNWtidFdGrPzNNdTGdKtO7FEVbqrUUE7Jq3b0xN1a2/Zl
b6zQC+CdqiHp6iXs0a/uPrlb4F2pJ29ZYqDv0bbvy4d5nnj4uP6mKWTi7LNf+q5fPTUiz4TT8EPd
Jqdtwp+6O0rdcLSjUFza0VJX4qZGzCevWqJT3d1UAcyZ5tfjNugK0s1H5DA2zNLpUIU0paP5nkUc
V7Qr13Ondp7rXLbl2HJ7ym9GmlpRUV6uwGn4e5M3WdnTtaAQAFjuzHqZx4dYtR1XNU5q1PiHQTfO
8PBt9JNalOPxEIroKD6u7d939Fw8SNC/hH5TLxC5W2pLTRFas+yKBOtzcpa0TUc8uQ7mZrK3qVKr
XlyPtX+FfwDtOqrbkoQ38irCwjGDxFb3Vsv7Pl3cy9lYrb0iagD1X3diOs6VLW3bGqih37TRKvjy
k9524QjDKkVLE1qlZ1HJ33OdLh3DwKlWtQphACxBOMCZLPglPibvX8KpStCfs0UnJ9ZajRqcXvGo
09TWdNsu34j29p9GyJSQIqMgA5ekow9CFVJuKsvn9j2KWJxGEoKDm3N9uy+r+SPIThNzRINrxCsi
jkHGrEuKnG6GfPQrqN8NsTPWD6KflqPnsRM19eJYWLVWdCTsFxuT2ml0IU4Zk2rdv1OIYurVmoOK
k32LzVmeVU49dUR4VaxArNuigjeZLKra3VyK1/XDV87U2GFT2np8Lsamtr+7VWrPyUn4F7Ta1hbX
Wtq1qHXoQOUphRqTSm3fkn9uJqnicPSbpxjZ8XF+KV76fHXuOzVKYpeQHlt5pKnwqWQ7BuoxPIbg
lEVs21evQHPytkCZru64laV0tvrC3TP8AK4Yep9Jc68oa1I+Gpljg6dZ2o1Lvk1Z+q+Z61xf0bCi
atWoviNyTGSx9J51KyuuKv417inRzlaGcZ95isa1GjeCpxNHFyT8VQeUe0+ooNTvKqikEZf4GzKo
yWId5PTl9S+rCWCVqau/7cP/AB+u/cSvBrOvQC17IMp2TTtiYLvh95w1jR4beu1Pm1GqdQz2zPom
K0KTVcMNHlQE9Z4dze07Om9evVKH7vrFSFP33oyiliK6fRx61+D1ueTS4vVpX+L6i1JiujI3E99W
DUlWm6sH3nzdClU45dVmquaFBQDoPxP/ALT6GhTCIFVV0qMAE4lFNyd3wLMfCnHKkrT4papfnLU6
sMDHhpk7DBzAXwUBZHBPUHElKepixpNjGRpM5uQz7BgOo5y1Pgec+ZVQCcsSB3xGTUYam+ZlnYBd
KuxHUEQoI8qsp1d+km7e3E5JVS7baSF+WZ0IGsKqdN9BkMPCTemmeWc5lVXSmpkf3BxNlKmoIhsV
CB5Qrg+pkB2RMBmB7SoGWy2QO86DdgxqjPTUJcQQMIuoOpJ6YkU+THSre5knVVbGV268pVxuECjP
p1gEouolihK+nSV+Juun85bGAE0sH6yxIojCO2rqMYi4Jwo8uv21dJV2LHRlT6gYhNlyGXJ6ESdO
hSWRG+cjYEFDsgQE88g5ksFXy6HU+8toAGTScexnNG85OplHpvG42Ll9C4Wo/oCJRHI1HUuf4hnM
io5Y/EWA5Zlc5AElLQN6gnJzCqzHCgmCpU4OPlLMNCgFWVveSQUxvLsQBpViV9ZVTg5BIPTEiSQS
GIBG28iSFLZxjaFGTyJA54gEYOM9JYAYOrI7bSGIJ8oIHYxqYrpycDpAJU5cEkD1MEl2zjf0EBds
k4khs+VBjMgk12VHBLsPabZzop4dJV6zpM0ndmuEbKwiIkHQiIgCIiAIiIB4sRE8U8UREQBERAER
EAREQBERAEREAREQBERAEREAREQBERAB2GZisPOa9bfzvt7Cd7qp4VrUfqF2kWVPw7OmvpkyiXWr
Jclf0+pnl1q0VyTfp9TvMVwumqfWbZnul2DTfhZWqW5l7Ms32dxTel9VuMaT8LdjMEcp6ZMJOLuj
rXoNQqFWHse882/4nRsU8x1VDyQc5biHHjVoLZUBT8QbeMxwEE8KvSpUeTtWrNu9Uj4R6TDiMXa8
ae/P83PocD7GUpRqYi+V7Lj8XwXzfBFat3UvkY1qjIM7AD+QHf1nShw+naUfrN0m+fs0+8TNdhT4
fbJ4prI7jlk/DMj3te7vGqU6DVGXampGy+pmJxSSnUd5P4nsqrOblRw0XCmt37vwXq3/AL7fVEta
AuKtc0a7fCq749MTncXF8KKGu7rSbqBhj6TpQseIM5r1tCvz1Pvj2Em3sm4mWqXNZmpocIRtnuZ1
km1lgmr/AJr/AKKemoxk6lecZqO7te19lHTzfbY1cMtaVtS8eq6+I478h2mx+IWic66Z9DPn61O1
sLsqc3FMjlq3Uy9e3rZpqKdKk1U4VFGT7ky2GIlTjkhFafEzVvZtPE1VWrVHaWqei05W1ei7Drec
So3N2KdQt9Xp76QPjMzG/alWqVaFOrRptsRjPzn0NtY0bemoCAsBjUROz0Kdam1N1GlhgzqeGqyT
nKWvd6men7VwdKSpQpNwWmr031drbvfU8BXtyfFuKdzW66nHlEUKuLs3D2dRkH7oIuwHea66eI9D
htNiVUA1D6CesqhVCgYA2Emnh3J77dnH7HWK9owpwu4t576XekeHdfy7zB+18KAbS5H/AISBxen1
t6y+pWek3QY6TzOJOaz07Kn8VTdyOiy19JCGbN8jz6H6WvVVPorc3meiW7Ma31G4v/GuQ4o0/wB2
ukkH1norxayblWA9xia6VGnSohAowBgbSjW9F/ipIflFKlVi201d9gxGLwlbLFwkktFZrbutx3ep
Rb61f4a9M/OZL65NzWSztnGSMu4PwiTfW9lb2zVDbpq5KAOZnG14NS8MNULLVIySpxicVnWnJU9O
004SGDpQeJvJcFdJ6899bHvcKo07ZDSpqfDRRnGxzNxIxnU4yccs7Tw6HCq1Jl+r8QrIWBznzcp2
xxqg6qlxRqqN/OuJZSqShBwyPfh4lVKhCpeSrJu73unz4/U9atWSlSatUrKFXfzdp41qlTi9+t5X
A8BCfBQ7Z/iMxXl/d8RYUqtDVRot9stIfEe09C343YjyOpokDADqRiTOvCrJJuyXPi/t5m9YSthq
TcFeb3trZfV8+R6tTyjGkAjsYPlULhgeuTOSV7eqoKOHUnYq0tXrUbeg1apUZVUZzibZTjGOZbI8
jo5ZsttWZ7y+p2Fo1Us2tjgIPvGceFWjUle+uGVrmr0IzpHYThY0qnEbr9oXJCou1BGHTvPYILuE
Gk4+QxM0L1GpvZbfX6G6q1h4OjD3n7z9Pr2kNSRqBNWjSqBvxbzhT+jNJsVLZq1rVP3qbbflNaqK
lX92AifEVM2cQv6PCuFtXJwWXGknfPQSMQqdrPc4wtStF2pt68OfwPmb2+4lYVltK1SlcjcUyuxJ
mThzUuI3YqX9wDcA4WlU2Cewmywtqr1DxC6JFxU+FfwL/vNVxw61uqJasilz8JGxEyKlOVp8OCZ6
E8TRpt02rN7yjz5Ls7rXOlMr9arImnSMbgczNgTAANIMO6mfOW1DiFk9WpbMtzSU4NOodz7GbqPH
LdKNWpcUqtFkG6EYx7SyVZLSSsZKuDnJ5qTzrTbf4rc9arhV0BHHY5lQQikh3BPpPKsa17eXQun1
UbYfAnMn1M9QnxCQauw5apEZ5omWtSdKWVtX7OHYQm51F1B9ROyJzd1RsjbfEocudOpCO4GIqtsF
KLkDYgzfRpZdXuyhsox8R/KmPQSWwWwAwA5jnAARMsrZPI5llIRch3BPpNByVdsLpV2I7EYklyqA
Aqc+m4hDk62qKG/iGZAVqjE+X+kAnYUgdCnPXO8gJoGaiN6dJZE8Rs+GSOXlhghfAL6e/OLglGCK
TqYMeoEgHUQ7VVz/ABDMhnOQgqHT6yajnAGpGz2EiwuFy7k4RsbdpU+ZwopgY6L1lnIVd6ab9Qcz
j7SUGdKhAOAGU9QTKBiucHGZIAJ85YDviTTAznUox3EnZEcSMAKGDAntLqNKFiqsD3MozF23x8hB
3YAKM8tusAgc842HPEHcnGcQdtsEHrJzpHlJBPMQCAMnGcesltvKCCB1ElTpQ4I36EQvlGoqGHLB
MAhyMAaQPUdYIKjcEE8pZabHzFCV9IXQG85Pyi4KgHOeXrL+QISCNXrKO5ZueR0kE5x6RuASScmX
osqVQzDIE5ydsDEz4qr0dO63OJyyq56iXVJ/vYPrOoIPIgzxpZXZeTETzo4t/wAkdRxb/kj2Inmp
eVVGCQfed0vlJ8ykS+OJpsvjiab7DXE5rXpvycTpnMuUk9i5ST2ERE6JEREA8WIieKeKIiIAiIgC
IiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgGLiJ1JSo/wDccA+02zE/2vFaa9KaFvzm2UUtZzl8PAz0
utOcvh4fcTnWXVSM6SGIVSScADczRF5WmaNzzHdaaF3YKo5kzw7nida7rCjaDCNtk9fX2nHid8t3
XKBiaKHyqPvn/aecn1h9RUsuo4OkchO8TjHJ5Ybdh9j7L9ixpw6avbNwT2X1f+t9vWqfU7al4VJB
XufXfzGaLPh109nUNxXpWwA1MT8TfOY+GLbUKtSuWytMeQHm3czVUNS4pm7uwUoJulL8XbMQSks7
WvBLa3Ns6qVJ0puineLavKSu23sorb6cdjBSs6FzdJRoK2Obu3Miela1Tw6r9VuAAjHyVcc/Q+s9
Lh1rS/ZtS9qMqXLnW4O2F6ATy7qu3EVanSQCgu7VXG23adwpqlFTWknw7DPia8sVVdCWtJaNt7Pm
nz4W4rgdeLXWiiKFNvPV226CcqFrdXFFabH6vbqMaV+JveV4QErV6lVyC4GEB6L3ntS+nDp30sno
+B52Jr/oEsLTj1lq2+b5LsWnHsMbcPtqdnUpBAqkbt1mHg4Feu1ao+tqY0IOw7zTxOqXKWdM4ar8
R7L1nGktJOJ0hZsrYTTUA5Y7zmeVVY5VotPzuLaDqvBz6STzTTafJLe74ZtvgevKV6621tUrNyUS
88y4Jvr9bZf3NLzVPU9BNNeTUbR3ex5WCoxqVbz92Ku+777HThlBlptcVf3tY6j6DoJ6AGSJAGBg
SV5zpRVOnZFVas69Z1JcfkuXwRSvVWij1HPlUZmDhlJqhqXlUeeqfKD0XpK3zG7u6dkh8vxVT6dp
6SqFUKBgDYSuKzz7I+f2NU//AMfD5f5VNX2R4eL17ki52QCVlm547TFxG5NvbHRvUfyoPWWZlCGZ
mSnSlWqqnHd6HAf4/ieP+hb7+7T0FHmYzlY2wtLNU++d2PczrTH8zKqEX70t2zXjKsZft0/dirLx
1fx3N9NfDNFwSAQQTjrOHE71rS2eojBq7+RFIySTNVTCrSw50IfvdJ5VsDxTi71zg0Lc6afZj1Mi
Un0sqcd215al+ApxzSnNdWNm+3kvi/kbuF2P1SyUHSzHzOSeZM0C0pV6f2tsHB9J0rDSmnQu/UHM
N5EB0sNtt5tVONlFbI5nVnKbqN6vU8utwOyqVSaVJ6ONso2MGeVVtLi7unsbe8qVaFHBJrctXae5
f331DhzOrt4r7IoHMmOFWgsbLU1RWrP53JGSSZhqUKdSqqaVktXb5HqUMZXpUXWnK72jfXvfw9TE
eJX1qBTubINTQY10RmabbjFlWVvOoc7APsRNulnGry5J5ZxOTcNtb+tirbppHMjbHznU5TpXale3
P7GZVMPVfXhZvivo/qb6AS2tTc1SAg3JJ5zw9Z47xBbqsGFlRP2akfEfxGYuJWC1L88O4dXrLQVM
1FdiQp7YnZb2/wCHUxQubXVSHNqP+0xRbnK9RaceP5Y9BUFRp2oSTm1pfRpP1fft3nsDNV/MwHv/
AEhiar4BXbYdJktuJWtwoWjXQudirbEfnNLeSnuqH1zPQjOMtYs8idKcHlmrM4UHWlTua1TAp03J
Yg9Jgo2x4vXe7uUYUSNNGme3cznbU34rWZWVvqVJyXIO1Rv9p79JURRuyY5YEyykqru/dXzNtV/p
LqL/AHHv/wDFcu98TxzSv+EDNpUe4odabbMPYz07DiFO9ok0yA6/FTZN1mhGLOSag7DUMw+AxVdG
TzKjGZpw+FcGpfJmSrio1YPPHrc1p4riAAfMApUcwTzhUzlzTJX0kEZcJoGRz0nnFQqPKFZT6mbz
GR5Wb7wX84dyfKGJUcsyQxRAFdgTzEsMU1JV0YnpiARgthFZCBvnlJYEnQKa6j+E5hEwMsEIPc8p
IwclUbQO0gkN9nT0hHUnrnnIV9KY8Rwe2NpC6CclnGDtgZlajlj8RYDlmTYi5dWIQnWmTvgjJnLd
m6ZMstMtyI+ZxJfygKVUHuDGlwQtJzg6CV9IAUvsCF/Myz6VGNLqfUyisVyQSD6RqyC1RydtbMPW
VDkKV2wfSANWWLAH16yVUtl/LgdCZOiBGMLk4OZIAC5ZTvyIkomolvDJX+GR5S/3gv5xcAAYJYkH
ptJXzNqZwCO/WRUcscayy+ss2SqglcdwJAIGalTOF9uQhsE5wFHYSNQX4Rv3lJNhcu1TyhVyBKRE
mxAiIgCTAieNjamaplXAz1Hd2ERExlYiIgCXSq6fCxEpElNrYJtbGpL2oMagDO63tNueRPOiWxxF
SPEujiKkeJ661Uf4WBl54oOOU6rcVV5OfnL44tfyRoji1/JHKIiYjCIiIAiIgCIiAIiIAiIgCIiA
IiIAiIgCIiAIiIAiJzrv4dB37AmQ3ZXZzJpK7M1l9pXua3QtpHym2ZrBNFnTzzbzH5zTKsOrU1fj
r46lWHVqSvx18dRPlfpBxdqoNraEkDZ2H9Js45xfwT9UoHNQ/GR09J4Suool9QYocL/E55k+glda
pfqo+x9iezMmXFVo3/qvV+nic7dBScEprddlX8T/AOwm65AsLPwy3+IrnLt2Ejh72lvTS4rVlaqd
kpjmPf1lFp3d/dtdJRVkzhC52wJfRt0Sy6yfy7T0sTNzxDdTSEd29MzWyV+Cer5/BHe14WbiialQ
eFtimBzHqZwuLqoXWjckMtA5bT949Ja9q3FI6Kt0zPzKUtgB7wOEh+G/WSCbg+ffqO0ukm7wpLVb
9pnpyimq2KmnGTtGy2vybs7W489S6XVKvUWre1l8MHK0E3HzxNnGL+2vaFGlw6i+G2qU0XcATpZ/
VGtErrTpoMb7cpksb64p8RrXNpQFRn8ilh5QsskpRilm97kruxnoVKc6kuo0qeybSin4fFu7ehmr
3T21elc07SpTVBoYNtkTunGbuuG8KyIC82Y7CehdcCevbNd17jx3YE4XYIfaed9YLcGpUU2qVD4c
i1WDd5WT14fiOn+krRilTU5JqN7ysk7u++tteRmFrecQqNdBQUfYAtjIm+jSv7ddNK3t0HvPSo0h
RopTXkoxOk008Io9a7ueTifbMqn7ahHItlrtw4nk17niVvRarUWgFHPB3lLOlxK3o6lp0mNQ6ySd
53vz9YvLe0HLOt/YT02xsAMYE4VJzq+89Pxnc8WqOGiujjeerVuF9OPe/A8zx+JjnaofZpD8QvaF
NqlWzCoBuwflPTnn8TPjNQs151Gy3+kTuvGUI3Un8voVYOrSr1VGVKKW7fW0S34mKxuK9APWqWlR
3qnUWHbpNq8Xpg+e3rr7rN6gKoA5CWABySOknoZwhaMvkcVcbh69RzqUvBtfUwDjFmzbuynsVMyU
7mjd8UapUqqEo7IpPM95s4k6ULN2CrrOy7dTIteF2/1amlSirNjc43zOJ9K5Zbp21+hooywlOi6y
jKLleK1T72tF3fE2mojKNLg7d4ojOkZ5mYKnCLUAsgdD/Cxk0eF1kdfBvaqH+LcCWxlUi1eN+5mb
ocLNdWra74x+jZ6HHrlqViLelUVq1YhRgb+818PtFtLKnTUKQoycnnPACX13WrXdN6dY0c0gzjGr
uQJ6I4hxFFVanC9QAzqpNmU0K66aVSatdaacD06+ElGKoU2nxetm38eS82eqF1ODoOkbnElwhGCX
HpjO08tOOWivitSuLcn8amV4hxqk1uFs7kvXqYRfTPWa3iqeRyTM8fZ+IzqDi128PE5qf2nxnUGz
a2x0pqGxbqZ7VUlitMFCO4GJn4fbrZ2a00qU20Dc43JPOd0BCNUKq2eWTOYPo4OT95nOKqKc1CHu
x0X527kOQNii5AxkGWvLinwrhj1WyKrL8P8AQTpbW+qoWqDSlMajmeRc1P2txjQ2fq9udTYGQX6C
Za03JqMfz83LMHRUpOc/dWr7vvsW4TbNb25r1i3j1TrfbqeQm5Dkl2ZT31DMOxZtGvYdT1MmocEI
CjdTtiaIRUY5SmrUlVqOb4mK64ZbXZL1KNPWeTKcETwrqheU6xsbW4qVda5Knmo959BdV0t6DVKi
qFUZyDmYOGUm0VLyujCrX3HovQTNVhGclCOjfLkenhK9SlTdSo7xWyeuv23KcH4jbW9Bba4V7Yjl
qGx+c941RUQaKpdTMdC3o3HDlp1hqU52K7TKnCq9oxq2F14eNxSq+ZTLaVKpF5pLMl4mWt+nr1HZ
5JPnqvHdfG57R+yo81JbpjcTxvrlS64kKNv+5pHNV+57THe8YvKmbarSWhXY4apnyqO89jh9rTo2
qJbqGUDdl31HvNMavTSyxdkt/p9TmWH/AEtPpKiu3pHiu/l3eJqRcKWZGI6EGQoByXLDttJONQAD
ADmOcmpUyMCozDqDNZ5oVizamqDI5at5BDVH+7gdeQllZmUKCm/pylqh00wuhMDlg7yOI4FdnfSK
fLnpPOVfAOlVZT1BMgKyjUVODylwFXza3De0kFEJGV16c85b90PK6Nn0kK58TJYZPVhmQSar42z+
UAspHhklEOOpO85gE5IGw5ywRmOFXOOeJJ06goVh36ySCAAzb6gv5wPMdOvCjlmWZ9ICo7Y6gjEE
6EwHRs+m8gkMS7hcqcdRtIqEfDoUEdQZVWC5ygb3lZNiLnRsKoAVlJ7nnIp6gSVJB9JGMbsc+kFi
duQgEgqu+MmVJJ5mQdjzzJIxJIIiSRgYI3gbDOSD0gEREQBERK6s1Tg5MiTsrkxET59u7uzIIiJA
EREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEx8RJNuKa/FUYKJsmKv8A
a8RoU8ZCAuZRiP8AHl56eJnxP+PLz08TYq6VCgYwMTHxS9FlZs43qN5UHczbPjeL8SN1xNlpgtTo
jSO2qdVZ5I6HueyMA8VXSt1Y6v6fEwFw1UgA1K2eQ3LMec9Gz4b+0LvODRoUtmC9+sWSUrZbi/Kj
KroT1bqZtQVFtaPDaB+3rDXWcfdB5zNGPM+sxeLkrxo6Pa74aXk/gvm7Hl3tvQapizpBaSt4atzL
t1M00rq4C/s+iqLVU6dWeQ7zpc0alTiNOzsVGm3XTnsTzMm8sV4fQStSP2tJssx5t3mvDKSzOPDf
u7DHXr0qkadKpq3rFPV34OXf68kc7i0Sm1G0UlqlVtVRzzIE23N/ToYoUV8WrjARenvMFNLjiN3U
r0n8NPg1dQOuJ6trZ0bRcU18x5seZm+ipSbdNWT49nYeVjZ06agsQ80lq49r5vhbRWXLgfP1Uak1
WlVBV8hqaKdsmfQ2dAW9pTpjoN/eebdvSfjdFWOyYz6npN9fiNtbnDVAW/Cu5jDxhTlKTe2h17Rn
XxNKlThF3kszS8Pv8T07O6Fu5DrqpvswnhUrJP23XaiddvSYsD0BMirxC6am1Snb+HSUZLPz+Qnp
/R2otvZlLlQRcHWxxuCZ3KUa1SKS21KqMKmDwtTpGlm6q1vZ8b27PMtBOASek73NsaD8wyHdWHIz
y+KVjSs2C/HUOhfczVUlki5PgePRoSq1Y0lu3Y5cNBuLmvdnfU2lPYT03OWM42VAULenSG2kbzqe
cqoxcVZ7/UuxtZVarcfd2XctEJ5tl/ib+vdHdV+zT+80cQr+BZuw+I+Vfcy1lb/VrSnT6gZPvIn1
6qjy1+hZR/Zwk6nGfVXdu/RGiW5J7ysVXCU8k7KMmWy3Rhim9jzLn/FcUo243Sl529+k9VdgTPM4
UpqCrdt8VVtvbpPTOyD1lNPrLN/Z/L/RvxrUJqitoK3x4/PyOb/AfXacru5NpavUX4yNK+52nV+g
7mZRTN7xmhbjBSl9o4J29JNduzS3dl4k+z6SnVi5bRvJ9y+ux6thaG04fRp6ELBSzb8zNNEBLVWZ
XO27Ay+nVUP2R5YGk7Tim9MKQwJY5HbedOKhOMVxTXhYirN1K+eW7uWVEKEuDv6ZnhULO34hxa5y
FW3pDTsMZJ58p7HErtLSxqEVDspwp2zM3CaDW/DEBKl6x1vtvkznE2lUjC3az0cLOVGhOre19F5t
+HmcDwKpSGbW9qU99gWyJZaXGqLhRTpXSr+HYmeqw0jdVONs5m61oijb+KwZXbueXrM8qairp2+I
jjKknaolLvXrv8zwrjjdejZNaNY1aNwTgajkE+8pwq5tKFoKdK6DVidVQHYljzMm+q/XePUKBJ0W
48RiB97pL3XC7K7c6kUH8Q2J/KV0oVLue9uZurToKmqTTjm1017t/Hc1h9C6g6NjltOQbUWYqp95
5T8MuKDlbO9fAOwqbgyr3l/ZqWubemUUfvEbbPSXSruKtKLTMscGqj/amn2bP5+hN6Te3yWSg+En
nrY/kJ6BKqh0lhgflPJ4TWtkRxXqlLqo2XD7fKes9FzRbw2zkdOU5oRlNdIt2WYz9ucaNrKPzfF/
nA1WYLWlNdeFAyc8hL3lytC3Z3ZfDQZ2EWrFLGmMpnTuMZ3nk8QLX1/TsFwaa4qViD07T0ak8kLr
fZd5gpUlWrNSeiu2+xDhtoLilVurukrNc7gHfC9BLVuF3HD28Thruinc0ahyp9u09WmEG2jygbBe
kkaWY6iwHTrIWGhlSe648TqWPqOo5L3Xwe1uBl4fdVq1IvVpPQqA4IPX29JuRAPtWqL7Ec5QgEhd
ZCdCZIJ1BPKyjlmXJNKzdzLOSlJtKy5Aq1UlhpA7ZxJRQwJ8Nj/pMirgeXQoPcHMjBRdJVgx5bzr
gccSCw1DRqGPXMmpUJ8odiOuYGEXUGYP7SynSC3iISd8EZgFdOPKrq2r+UlhoUAohJ6gyE3LMVU+
hOJX438q49BAL6dCeZHB75kU2C5JdlPoJVvMdg2PzhtI2ViR1yIsQQWLNknJk71G6Z/KWIIXSpVh
3xJIFNRsCT1zyk3FigQk4O395ZmC+VVIPIxjAy6tk8jmQoAyWLA9NoBBwF2JyeYj4QCCCT07SVUN
lmqAH1kqDUYt5duh2i4KgYXVsRykAHGog6ZbBdzpT5CQ2CcICB25wCBud84jOds7SckDAJ35iQQA
Acg56dpJAPbY4kRGDjPSAJMiTPNx9TaCKasuAiInmFIiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIA
iIgCIiAIiIAiIgCIiAIiIAiIgCYrb7S+uKuNhhAf6zXUYJTZjyAzM3Dl02gY83JYyip1qkY8rv09
TPU61WEeV36epw41ffU7MqufEqbLjp6z5ptCrSp0yMINbsBzY7D5zvxWu17xNkD6VQ4BPLb+/Oee
LoJjSjOwfUc9hsJRUneR+iey8A6OHil7z1fx28Ff4nevSFs4oLWqMqeZh0B9PnNqXtxww1BVpr49
ZAyvncD1nmJSr1alW4aoKaIdWrGdTek2XFlUS3p1rqqz3VcgFTvpWcpvdGqtCk8tOtJO+/NvR8NL
cX8EerY3VHhvDPrVywNasS+BzJPSebe1TdpUuriouwzToKc49TNnCeC2VWzFzcE1NXLUdlmfiNOz
q16FHh9NCQxLEcjjpNMHKyvx4Hk03h1ip5LuSbvK1kkuC102tfccL4laULIU3qKhU4Pr6zrW47bq
QtHNRj1xgCY7LhtOrfV6d0qlkw2F2G838Sp0rfh7JTpqpbCgAd56FOVdUb3SS8dDNiaXs941RtKU
ptPfTXXldnhVK6uTXeqQ5qaioX+89ehecLoDKKQ3fQSZfiFBaXBgoUZQL0no01RqSHSu4HSKNCcZ
tXV7J7fcjG+0KFWhGWWWW7VlJLRWt/Ht0PI4jxChcUaSI58Nn85xvgek2LxaxCgCrgD+EznRVa/G
azaRppIFG3WegaNM86a/lLqaqybmmuW3L4mLFTwlOEKMoS0V91/LXXTlY62nHeHVKBta9ZQp+FiO
RnkXlai3GKSVKqilSXWCTsxPKb2tqGCTST8pTglrZ8Qo3JuKaGo7/ZMw2wOkVVVbUG1r6FmElhMk
6qUlZW3X8tNNFwudEu7Zs4rpy/FLCrTbk6n5znV4Ra0yyPbKCPTEztwiyxnwyPZjLE6127Lx+xhc
MFos0l8E/VFK5F3xWhQBGin9o39p6U8Ow4dTujXra6iANpQqcbCav2XUX4L2sPc5lNCdRuVTLe/a
bMbRw6yUOltkXFPd6va56QGTiYeL1T4IoJ8dZgg9pVbPiCnyX2cdGWYmF7W4iApp1KlAbluW8Vqs
msuVq+n1+RzgsJTjUVRVItR14rba90uNj2qNIUaKU15KMTq3PHaeYLniVM+azV8fhaDxSop+1sqw
9hmWqvBOzurdjM0sBiJ3kmpN8pJ+ptqOEwTyGSZX6PKav1i6ZNTVW8pPQTy7/iaVbVlQMhbynUMY
BnrcLvrClQVBXTAGMZwZzCrCde99F5m2GFr0MN7jvLR6bJa/NteB7IAVWOhxk7HM4W7MHqq1Q+Vt
sDaXo1qFQAirt0wczkagp1K7hvKFDZPWW1WlOEuT9H9jDNNSS7bHj8UY3vFaNqG1AkFz6Ce2oJOr
ykDbBOJ4nBlNzdXN4wB1HQhPae2VOAukEt2OZVR6zdR8fI9TG9TLQX8Fr3vV/Q6W1H6xW3XCKMti
aK9TFJqj5RFXr0A6SdHgqLfDBm8ztn+U8/6RXJp8NS1QnxbpwgHYdZxWn1bo4wtHPUUOf4/kYOEk
vTr3rkh67kgHt0novU00s6lLHoBynOjTWnTSmhACDABE7JSao4qEKR2JxLKUMsFHluc4mt0lWU+e
3dwOVOgzYJAKn1mHiarcX1pYqjBc+JU36CewSu4FPAA3CmeNwpTdXdzfEEhm0J7CcTXSTVJcd+46
w0silX/qtO96L6/A9CpYWl0pFxSBHIHTPNuuDta0ajWd7UpgD4GOQR2nusQiaQWOeh2mW+OizZQy
sD6TbPD05LYpw+LrU5KKlpyeq8GeV+0b+ztwLu3ptTVdqiHHtmOB1qDrULOv1uqxZwdj7S3E1Na4
s7AYIYh3wc7CehX4VaV01V7c5+66nB/OURhUz3g7qPPmbalWj0Vqkcrnq8vJPTR8/hsjWwAGArBu
u8sBTRdWptX4cTx/qXE+HDXa3Jqr/wBurzx7zlW49VWk4r0KlO5xhFIyGPoZc8Sor9xNfnMyLASq
P9lqXmu9PU9WnxIV7mtRTQfCAycdT0nZFONWlWz0zMPBbUUbMPmnUqVDqdtXMmbj5nChACPwnnLK
Lk4Jy3ZRiYwjVcYbLT6ssE0qTUpt7gyEI1FtTrjlgZipzwFcdwTmCwVdKO2/MEYlpQQXLOMtkA7E
yXJqOFyp9RtBOhMB0bPpvCroTUVRge5gFGGnykDPcGWcBQBoZW9TJFMqCXptj0khFADOzqR6RcWK
qSinDMGPTElQKY1llLD7svrydXir/wCQgBnOSKbD8pFybEEMTrYIR2zIVNizUmxzGJOkM2PC5fgM
htOrTh1775gEAKSc61HTbMFtbaTVOkctUs9QgeWo5PqMRrIp7Mh9NO8AMGqeUMhA6jaQw5IKalu4
OZVCApJRWx3Mpkas4wOwk2IudHCovwOpPUmAVQZDuGx2nNjk9cesFmYAE5A5SbEXLLuSxYAjffrI
DebUQD6ShZRzIlDXpjrGhy5JHViCcgAegkTgbodFMoK7u2lQBmcupFI4dWJrERE8GrU6SbkUSd3c
RESsgREQBERAEREAREQBERAEREASj1adMgO6qTyycZl5wubSheIEr0w6g5GehkxtfrbBW4nYMp5M
D7GTkZx1nltwCxLhwKykDA0VWEfsUIxaje3NNsYzq1f1mjo6D2n4r6Nndocz1InlDht9TcvT4pVZ
j/3FBH8oW34zTZj9dt6gJ2U0iMfPMfp4PaovmvQZFwZ6sTzBV4yuxtrV/XxCP7R9fv6Y+04Y7f8A
1uD/AFj9LN7NP4r6kZGenE8ocYqombjh1zTPYDV/SF4/amnqalcIccnpER+jr8I37tfInopHqxPO
/bvDQuWu6YP4Sd/ymlb+0ZAwuaWD11CVyoVY+9Fr4EdHLkaIlVqI3wup9jLSppo5EREAREQBERAM
nEXK2jKObkKPnK3lX6lwxioJKrpUdcxdfa3ltR6A6z8p530mr6aNKkCRkliR0xy/nMubrznysvzx
LfZVD9Tj1F7XS8NWeEKKPa1rvXrctp0k8hy/OcWZ2qYxlFXAJGMgdDOlygtHCBgFIViRv5gJZ3Jp
5fk+nfr6/wBJnfI/SoSfvbp7di08jRbEJSosw1on7ukOb1P+J1d3t+KU3us1awUtpUZ3PJZx4Y9d
ruqlEIax8wZuVMHmfea+HXdvaXFzUrs1WsW0qAMk46iWR1SPNxKlCU7RzO2y3ebyWru+PckTwiyq
X9Ooleo9OjTqEeCD19Zqt7ekeL3HhqFp0KYQAd5msLi+erePbU1pqX1Man3Z14bwz6/Re5r1qgWq
5OhTgGW03ZxcVqYMY2nVlWmoxaSstbOVm9Fxdnq2Z/rdC34xWd6g0lBuN95zvL0Xda3WhTd8Nq0k
YzidqFnRocbrU0pjSiDAO86W4FbjFeoB5aahBPSjnnHLfRv7mZyw9OfSxi24wTu3bhZaLv5ma/fi
FSzc1KdOlS6jOTN1lSqUaPiVaxcFcgEYCiOKqz2DIgyzEAD5xfv4HC376Qol2TJUlNtuy+pk6Z18
PTowio5pNWS/487s58IBajVrnnVcn5T0Zws6Xg2lKn2UZneaKMctNJnm42qquInJbX07tl8jNf1f
Bsar9dOB7xw+n4FlRXkcZPvM/FTrFC3H/UqDPsJ6AGAB2nMetWb5KxbU/bwcI/2bfwWi9T1NS8Qt
gp0rXXl/EJ41+5trWsx2KqfzmkMabIyncbzl9IKtO+tbdKYxXq1ArqOo7yJyy0mycJTVfEQjLmr9
y1Zw4bS8HhtJepGTNMnToRUxjAkTujHLBIzYmo6tWU3xdyc6UZjPN4UNYr3B/wCpUOPYTTxGr4PD
qjZ3wcSLCl4NjSTrpyZUutVXZd+hqj+3g5P+zS8NX6GtdgTKyx2UCVl8eLMEuCPLrKtxxulTwCtN
CxE9anw+xrW7a7ZS+diBPL4f9re3dx/FoHyn0FqAqKdTDJycCUUIxlGU2r3b+h7FerUp1oUoNrJF
L47v5sxVOA2CoWp+LTf+EkTyuLWLcOtdVO9rN4gxpJzPp3Y1GCtU2zsTPA40zXfFbS1GCNe+Nhgb
zNjqMYwSgrO6NuCxOIqVoqUrpau+ui33IsrLilpaUxRqUHTGdD7Ymy3uuLW3+IqcNFVAdijdfaeg
tPUy09IX1HaaXxVqqi02VEG4HaWOjkj1ZNB4zpJ3qU4u/ZbysebR47QVs3dtdUWY5LMhO0w1uI21
/wAd8bxgtvRTTR17ZJ5z6W9ri3snZjgkHSCvL1nzPB7Cjc8PNa4po2ty+GG+/aVZKrko3u9zTCph
lTnUyuP8dHffl8O3ie1TZWUBXpvnckGd2AVceGuo/DpOZ5A+jtswL0nej1JR+XynMcN4nTGq3vmZ
R0qLn+ctz1NI5fD8RglSoT1jUt3pryud+M1mteHOoVhWqnQm/UzXw6gtlYU6YdlKjkBzM+fduIV+
IqtdFrNajxAlPkf+Z6LcfRnC3VGtQA6suwllGpCM3KenDX5l9XCVVQjSpdbi7Pnt27eZ6Y82WLAH
16zNfktbMxxjIz0kU+JWdUBKVzSbPyMzfSCt4fDQiBdbkKpU5zmbZ1o9G5J3MNDDVOnjTkmm2V4Q
hvb65vzTJTPhpjsJ7K6NecMF7c5ws7ROH8Oo0dDB9O++2Z2DlaezuD2xtOaEHGmr7v1GMqqpWbjs
tF3LREtUJYAVCR/FPHvR+0eO0LUFGp0B4jkDG/QT1DWFKlUqs6jSMnUMzzOBU2qrXv6igtXctg7b
dJzWWaUafxfw+5ZhX0cJ1+Ssu9/a5ut7GhYK4pUx5zk+bOJoIVUBKOCeuZGhnOoUzp7CSAjE51he
nWXxioqyMk5ynLNJ3YptpBJd1J7CFOW1mouf4hmTqBYKKnlH4hJYsx0AoQeoGJJwNLMwYhCO2cSV
p6yT4JwPwmKmmmuCiEnkVOZDMAoLK4JGxztGvAnQnUgJADj1O8h3LEL4rY66hKI5VT52XtiQrEvq
ZwD3aLEXOjuQuzI3ssg4WmCUTfrnecHrLqJLD5Sj3VMnZce0aI5c0t2aE0hSSrHHUGVViGyCR6zI
bo76RKG5qdDjMjOit1oo2sxY5Zs+pkM6g4LDaYC7HmxlZHScjh1+SNhuEHXMoboZ2WZonLqM4dWR
2Nw55YE5mo7c2MrE5cmzhyb3YiIkECaLZMkuenKZ5vpJopgTNip5YW5hF4iJ5p0IiIAiIgCIiAIi
IAiIgCIiAIiIAiIgCIiAIiIAiIgCQQDzAPvJiAczQosCDSQ5/hEzVOEcPq/vLOi3us2xLI1qkfdk
18SczPObgdgfhpNT/wDrcrK/sWkv7q5ukPfxSf6z04lqxlf+78yc8uZ5R4VdBgy8VucjkCFx/SDa
cYWoCnEKJUDGHpZz/OerEfq6j3SfwX0J6SR5mrjNP7ltW/8AIrKi64tTcmrYU2XoKVTP9Z6sR+oi
96cfmvJkKfYeUvFboFvF4VcIudiCDn8jLDjltyejcoexosZ6chiApJ5AR0tB70/Bv1uHKPI8Ojxv
h9TiNao9ytMIoUaxieRxfiVvecRWpTq66K4BC9R1n0vD6FNqDVWpoTUctuony934NTidf7AOEZsg
L8p585UXSTimru+6foj2f+lYRc5Vba2b8TE5Qmpo8oK8jvkH+nSaK1wgt7Y8sUzjuTy+U866VKa6
FGlwxDCd6FvSPkuCxbA0vkkKDM1PI5Wbsudj7utTtTjU3tw+FjZZGi9d0Zl/cnSKRIJPY956vC+J
8Ks7KmKtVfG+8dOTPCFpWW3rutTNNG0hkAwfTPObktrZ6Xlu6Suo3WtRwZrhRhm6tRfFNeh4uPUK
sLVFKza91p7Lj33NNLiNEWXEGR8tVc6fblmb7Ti9paWtOgFqMUUAlVzkzwBwyoltblGpVPHfA8pU
n39J6DcHv6ZDLbqiDnornJ/lO4Yaq21GUXbt+tjHi17PcctRtXbfgspC8Rpnil1cBKmGAAGn+srw
+/SjTqO1KqzVHLEquZ54W5p0q1daFw9IkhnLDGeW/UzvQq3NCkq+JXQAbDwNX9JqoUcRdRirtXel
nv8AEYmng+jlro8q1bXurbZ9h7ltdpd6sU3XT+MYmbiZ8Wta24+++o+wmFeJXSsQaqKB1q0ys5ft
F6nEVqK9Co6LjZvLn0M01VVUFGcHq+R52HwSjXdWnKNkm1rs7abpcT6UbDETyhxS4ABa1Ug9VqAy
68VP3rSsPUDIlnTwW918Gea/ZmJ4JPuafqG+342o+7RTPzM9KeHacQo0rq5q1dQLtgEDOwnoJxay
Yj7YD3GJTSr01GUnJXbZqx2BxOaEIwbUYpbfF/Ns2tz2mAVW/wD1BQK7+AurfuZ3F9aufLXpn/ym
ThjLVvbquWG76Rk9BJqyi1GKd/sV4WlUpdJVlFppWWnF6eVz6O7pJcp9YoYyB506iedO9tdfV6+s
YYHYjuJ3uqCORcUCDTbcj8J9ZpXViYZLO7rc8Hi58Q29sPvuM+wnoAYAAnnMfH46O1FM/Mz00557
Silpml8PD7mrF9WnSpdl3/5P6WDc/aca9QUrepUP3VJnSeXxe4JoeBTGdbBS3b0llW8KUmuCKcHS
6fEwg9m/kTwutTpWlNGJ1uck46mfRW7nwlAcjHTpPCCDxbaiowEGoz3LE5pFtSrg8iMy2FOMacI9
hdUqdLiKlTm35nSpU0gnKkAdp8/bfb8daoyhhSTr3M9i6qE0WOBljjtMP0ct/rFavXK5VqhO3YTH
VadRJ87+B6mEThRqVOyy+P2uewMUbf4G1vzPYTdZ2jUk1uwxjUw6iUSmtSuWxnvvss63jNQtxTGz
NzPpGs5ZTPpFXPB+kl0alnUZTu58NF64M02yeFa0LcBcU1A7ZnncWHjX1hahlYa9ZwOWJ7AHhISV
Unoc7iQn+5K3cWV3lw9OHO8n5LyYcecIqDPUKecNoXy6XXvkyEXA1MrEHkQcTje1RbWNxUZiMITs
JtpwVOLkzFGLnJRXE87hDa7u+ulZhrqaF9QJ64x4ZyUOehXJnncEo+Fw6gGIBYaiT67z0irVWOCu
3yk4eNqSvx18S/GzzYiWXZaL4aGSpwmzqpmpaUmJ6jY/ynz19Y06XF7a2tXqIfjILZCnoRPryNtN
NMsPiYT5mkBccer1sEKtQUx1IxzlGJo05OKtq38jb7PxNaKnJybUVt2vRGnTxq35PTuVHcYMkcaq
IQt5aVqQH3gNQE9lmCLpR235gjEhqi06YGumw7Yl3RSj7kn8dfzxMn6qnL/LTT7Vo/lp8jwuJ8Uo
31slra1lZqrBNhjA65nt0qSUqVKilNcKAPIcz5+rTtbjjxRqamnTpHVjbJMt9RNBw1nd1qW/wk5E
z051FOU2r8NOw0Yj9KqUKSnl/lrrvza7Ow+hqYXyhXU+pk6iqYV3B7YmNatU4c+VfxHnFW9crpVi
cfePObcyPGdWK1NisKdMkugP4SN5yN0gO4Ug9J5xYk5JJkTnOVOu+CNbXKZOBKNdE40jHuZniHNn
DqyZ1a5qsukudPacyzHmTIic3Zw5N7iIiQQIiIAiIgCIiAIiIAiIgHWgmuoOw3m2cbdNNPPUztPL
xE80+4lCIiUEiIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAJmv6n
h2dQ9SMD5zTMV7mpWt6I+8+oj0Eprtqm7bvTx0KMQ2qTtu9PHQ0Uk8K1VfwrPi6bVHu6xt1+0qZV
j233P5T7hvgb2n5+lWvQqXNSkxxr0soHMbyuslFRR9d/01SvCqo2v1VrsZbxNTUiOb5z+c0oTRUD
/qoxAOMhumJANKo1NActtzOMe022yeQV1JarTHieGRsRnczNFan11etlpqMlt67fDgdKtN7axtSl
RalF3Bemg31dZ6fE7iyvOF6qSI9RyEXI3BmOsLe34jaVxUxa1j4mnopne4tVvONFrEIrUl1s3Qt0
l6vZpdx89UcJTp1J3VryzbLfaXxsrivw8UuIWVGlUZXZSSeekgbGaLl+LWFtUd3pV6YXdjsZwS7d
OO0jf6KTLTxsds5m3jT+NTt7VDnx6gzjsOc7VrNoxTlV6ajTqpSTV22r8W3Z93aeRUrsnBEszRqK
XIOsjY5OZ6NvfW1UKlOquoDGORnTiyg1LC3A28UHHoJepaUUuNYpKHB2ON5uwKkptJ8jHjq9CrRj
KcWnJylo+N7a352LMqt8Sg+4nlWdClWv7xmpoVyFAxPWJwCZ53CRlLip+OqTPRnJ9JBLtfyMOGeX
D1pdiXi7+h2/Zdhkn6rSyeunecqvC7VabN9qAAThapA/lPQma/fRYVm/hM0SxFSMW8zM9DNOpGF9
2jzOHcNNSwV0uKtItnlg/wBZoXg9VUCpeM5A51UBmvh6aLCiP4RNYHlJlMJyVGMXZ6LgjVicVUeK
qSi+LPCr8LuBRdy9rsPu0sH3zmZLXh91WtVqJb0mJOS7VSpI9p7vEH0WFY/wmW4evh8OpDH3RKqu
SVZJwW3Lt7DXRx+Ihg3JTd83kv8AR4xtK9M/5e6//qqg/wBZ1o1bu2JDPe0UPxZUP/Se3K1atOlS
JdwueWTLZ06Fvct3Nr1M8PamJb1d+9J+Z83Suay3NatSqvpZsF2pHBx37e00ftmtTcUzc2jMwzjJ
BnocA4va29s1C5XVTrVCScZ0nvOnGA1lp8KjTei4yKgUEGZ6MaLpq7kuOj+xvx2Miq8k6cXl025a
Hm/tW6ql6VOnSZwMkpUGwnOtc6qlBWolRSy5QHJb1mWjaUq1ZUNGmxZsk6dzLUadOrxKrjKUaa8h
ttGJyO0Izla/FIjA16LlKapJWT2v3c3zN1vxagK9R3SoC2w8vICenZ8dshRNPxQMn7y9Z5NrQQ0W
YakGdIIb9ek62lrUqUNZqfeJwVGCO86qTlmuprkrp+hRCeEl/wDravyl9Ub+JcTtnpP4VSmSlM4C
nqZr4O6W3D6NNGxUZd8N3ngXHhtaajbojVagAZBzGZ9BZfR+xvqgqNQfTjJOsj5zJnnGd9G16nry
p4foFC7SbfJ7eHNn0VhSApZ8QZzktzBAnC5q+LXaprUdACOk83ifArTh9qzrd3NHAJOmpyE+drVq
lva06lK9uNVQFlSpjOOmZbB1Evd37UYqlPDydo1Ld6fpc9W1BvfpJc1sDRQQIM7CeqftKnlTbss+
Et+KXVAs1Covi1WLOmnOPWajxviwtTcv4VNEYe7+kihnUc+V69hZjMMpVMkakeqkrXtsu1cz7QgK
2Cjr774nkfSC51WyWwrH7aoqnPQT4+5+k/FLoFTc1EIP3dtu080tc3lYktUq1DzOcmTVqNwcZXV9
OPqRg8JOFVVNGo66NPbbZ8z9NTiNoUSjSuaNQgAYTmJ5t39LuGW1VqSoapGxdBtmfGm7W1svq9oC
KlQfbVTzP8I9P6zzsGXwq0/7/MxzweJWrpvwPra/01JputC2IcnyszdPaY+FcXufHCjC4Znz3M+e
A3nqWJBtk7h2P9JDkpVLp3svP/RppwnSwzzKzlfwSfqz6IcdrNk1V1MeoMLxkE+emQO4M8pEaowV
FLE8gJqqW1G0tmqXNQa9O1JeefXtIlVklc8GnSlVmoLds08Iq/Wbq4qhG87fEeQAnqfXrOjU0eIr
1B1+7PmaVzVFklAHSg3IHU+srOaE5RgrmnHzjLESy7LRdy0XkfU/WlrknxQ3sZOc8p8qCR1nRbis
gAWowHvL+l5mFq59NE8FOJ3Kndg3oRNNPjHIVKfuROlUiRlZ6sTHT4lb1ObFT6zStVHGVdT7GdJp
7EF4iJIEREAREQBERAEREAREQBLU11uBKzTapzb5SurPJBsGkDAwIiJ5B0IiIAiIgCIiAIiIAiIg
CIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCYl+14q55ikmPYmbScAmYuHjUK1Yj43O
D6SirrOMe2/h9zPV604Q7b+H3sbGGVI9J8NSq/VPr6uMhnKH+c+6nxfGTStbm7oaCGq4cMT1kYjR
Jn1n/TjUpzotXzW+TMlWmCni48yeGAflNFubq1FvdLprU8+Fo5c+kh2pGzNNWzVyjFfTE6Ua9NeF
XFGo+l8q9MdSfSZktT6WpOUqdst1dK1uDsu/jfQ5iqLS4IvaRWnobwqbc9+k9PhFzT4aUp1dGivu
KqtkA9jMFRqvErulc+GpenRDlDvqAM9heEcN4parWpKaeob6DjB9pZBO94nnY+rRVJQxN0paStqk
9bcfjfW5NCjSveMX3iqHphVUZmK3t6qcRrVLJWrU7byortsD1xMf1i74dWrrbNldWg5GckT1LCte
8NtglSxZ1J1F0bJJM6TUnqUVaNWhByhJSUlFKLdtkruztr3cyDei84vZmpTaiaWrUr7bz1bkecMO
RE8dr21q8YFa6XRSNLSFcb5z1E9V7u0rUl8GtTOOQDcpswdRRqavc8b2nQko08sGkl3pat7nGs2i
i7dlMycIXTw5CebEn+c6cQqBeH1iCPhIlrFNFjRX+AT1HrWXYvMyLq4F9sl8k/qaJg4w2OHuBzYg
fzm+ebxY5W3p/iqjPtGIf7Ujn2ar4uHY7+GpvpLppIvYCddtHrmYa3EaFEYU62HQTHeX9dqdMDyB
lztzkyklZGbVttnfjNVU4ey6hliBj5xU4klC1pCmNWR16TwLktUamCSSz9ZvvcrUSmVA0IBgTL0j
lWbXZ+fM3VFlwdNc3J+S9CanEbmpka9IPQSvEXxRRdZOKeTnuZyoprrIpOATzlOJ1fEaq2cjOAfS
KsnlbfIqwcM9aEebS+ZWyp6hSTvjnPpLXitvcpU4dehRQO1KoB8JniWChQahOPDTI26zhnJzIhGy
S5CvVbrTnzb8z1KtjV4XVrNUGQF+zcHnntPN4eGNS6qEkIRp9zPo6VehfcIp2N64SvpzScjHLkDP
F4TS0JcNWGEDE+hxEn1k7czbhoqNCrJckvF39DQgCt4YGoIoUrnmTNNzVpramkpOojQNsb9ZzsF1
I9diAdWoZ6zjXqtUvkpUsVKp8wUH+ZlbklJt7LzIwdKVSaUUXe38e9sLbkpqZJHpP0G3ShY2+XKo
o3Odp8Ra2zWnHLRWZmqqrVGJ6E9B6T0+KXRdD4rnSvmYdx0HzM5oRzuVRnp46SpQhTTvpfxbM/Hr
lr+4NuzlUP2tUj7qDkJ4LVgBW4lcgCmvkoID16bTffCpc0qNFh4Yfz12/CB0Pt2nzHFb767crRo5
+rUfKgHbuZobvF9m55dCOerGL4teZysrZru4arUJS3pnVVfOMDt7zlxTiRrVs0vJRp7UUHQd/edb
29RbVbK3BFBDqcnm7dT7Tz7SwuOJOxpgCkm7uxwqiaqMcsFfkRip5685c2/MWNvccRu9IbIHmd2O
yjqSZvuLilbO9OwY+GV0NUxgv3mS8vKdKj9SsiRRHx1ORqn/AG9JxQ4RV64zIrXc4K/H0LcLpSqy
7LeLRfPfJ9zGT3OPSMZxvNlnwu5vRrRQtMfFUfZR85dKS/kZYzkvdZlBJ5b+89rhnDAy6rwvSTGr
URgkdMCZWqUOGV0a1YVqyDDORldXcTXSuK1XTVq1GqNVTzaum/SYVThJzbirX5dh7E8XXpUoKM37
je/Ns6PTFGszWVepTTGPM3mMyXAc4zVd2Zt9XX5zUMYOT7ThX3q0l9cyqrCmqdlH5v6mTA+0K866
ztNK72XBN8iQlZdta+gwT/SdV1acuNJ652kjnJbBJ3JHrL4xpx4PxPOr4npl1oJdysQChbGoH/Tv
JKlcZGM8vWMnTpzt2kDSo2Rc9yN5Z+32mZZRgxB3PmyR+HOBJAb/AKfl/n/WMsHtL5DQiWTWN1Yj
HXMhsAeVizHmTyjdgCxUEbYVecZFwkvn9BY0pf16Q8tQsM9ZqpcYOcVU+azywWOVXCjuxjKj4tR/
0idKM1s14ojKfQUuIW9X7+k9mmkEHkcz5fGBlvL/ADl6VzWpnNJ309DjYztZ+KIdNn00TxqXGSuB
VCt02O89GjeUaw2bB7Gda8iHCS4GiJVXVgCrAg9QZaSciIiQBERAAGTiegihEAEy26aqmegmyYMX
O7UUShERMZIiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAcLu
p4VrUbrjaTaU/CtKa4wdOT7zhxDzilR/G4z7TbyEoj1qzfJW/PkZ49as3yVvHX6CfK/SS3RuIIzc
3p4XbqJ9VPC+kivTShc08akYrk9MzqsrwPf9h1XTxsbPe6+WnzPEshTu7O5BUCrT0lc89uc3cMo0
6N7aVHQFa9IgEjkRMfDrEV6lUBitSmh8wPM9p1HEKR4ZQUgpWt31KTyYZ3xMsdLNn1WLUqkp0qTb
TdmuV46fC6TPTtbdLT6QmipGk0SQPczoT+x+Ikna0uD8kaefxOq/7ZpXlE5FOiKhA6jO813NduO4
tbUfYbGpVI/kJamtUt76HkTo1JZKlV3hKNp9luPfxXPY5WFnTv764qs+aS1CQAeZPIz0rO1u7K4N
IOKtod1LHdfSYeBvSs7mvaMwDF8L64n0EspxTV+Jh9qYmrCrKlvBpWuuFt12njUqaVPpDcq6Kw8M
bETTX4PY1Vb/AA6g/wAO040P/wBx3H/1ietOoJPdcTNi8RVpTh0cmurHZ9h8jxLhq29k70qtUAYG
ktkTRTtr+lSUpdqy42DLL8erUqdpVpahryMAe882re1a6KCdKgYwJvUKaqPLpotn3l8sdXeDhKdp
daW6T4RO78VvKDaWSlV9UM829v69zVpmqpAU7KJ0wSNWNpwq/wCZpfOcVlLLbM915k4HEU51XelF
NKT0uv4vtt8gLpM+YMPcTVdXlKpUUCqCFUKIoItS4pq3IsMyLinTqXNTSoILbbSbVL7oy58HJawk
u5p+aOClKt7brrGnVuZquagqXLsG1DOxmejbI14qtTymgtiUNsmdsj2Mrpupmk7GvEwwrpUoubWm
ml+L31N9kMVWqeXyKTvMF2cqB+Jp2SzK2j1RVqDLaRvMdWnUDIviEkttmKs55HeJOBw9BYiDjVTt
rs1wPVXNGwPMeK2OXQTgil3CjqcStwl3T0Umqg6V5EcszpQp3tBWqhaRwucnpLFUf9WY5YJN9WrF
/G3mjtxB1p1VIYnQvLtjlPS4alK++j9O2Zlo3GSVJP7wEz5uo9YowqKADzPab6VxXAoijakhFKrv
z25+kV68IzS1SiuXE9Cjgarws4Qs22uKtonxv2n0P1OlY2gpkGtXY4pqD/M9gJy4LYim9xd1WV6r
vpyFwcCY6PGK1rautWyqNXqDBqHr/wAb/rnNdtxVLe1p0hYXQC7fBPOpLNNuq+09WOHnRoONGOr0
vdfU6U31/SKvUc7UqIBM53ddFqu7jOg6m7Fvur/eYKfFaVO+vKrJUzUK4AHLHIek4V+KW6kFlZqd
PJCsuDUc9TNtKrBJpvizFjsJiJzWWDaSS+RHFq9wnD6dtTVjc3D/AGpHMZ5L855VwafDbJrFdLXL
nNZxvpH4Zop8T8KwrVaoNS9erqXUPg/inkUwHreLdM2hjlyOZ9pbOpT6KUU19SnA4LEQrxlODSTv
ty1KW1obyodT+Hb096tU8lH9z6SvEOIrWVbW0U0rOn8K9WP4m7mWv7k1lFvbUzStEPlXO7HufWYB
QqE4Ckzaq1LfMvEyPB4n/wBt+DOfWa6dGtXuVp0KbVGxjCjM72fDqTK1W7rikqjKqN2Y9vSdm4td
Jb/V7RVopyZ0GGb3MqlWg6qs1ZJmmGFrRws04O7a4cFf7G4Wllw0Cpd1FuK3/YQ7D3P9pkvOJ17z
CkinRHw0k2UfKYKesr5+cvpMs6WlxkvEy/o8T/7b8GPuz2LPzWqH8Ix/OeQQcAT07KvTpWrI5IbI
wMTPCtTUHeS1bPQxOExDzKMG7RS27r+psnB97tB2GY+tU/U/Kc0qhrktg4xiZ6lWErJPiYsJgsRS
6Sc4NWi/noa4iSATymk8YiACeUtgDmcn0kFifQdhAuNlI5E9oLFuZ27SIgCIiBcREc4JEZPLMEYJ
B6RBBKsVzpOM85UgEgkA+8mJ0pyWzJuy2s9yB2BxNlvcUjs71UP4gxMwxLY4irH+Quz3UotWTNO9
qEfKWNK8203CfNJ4SVHpnKMVPoZ6FvxZlwtYah3HOWrFN+9bwRF2bib1SMCk3ffEGrdqRqt1I66W
zOtK5pVgNDg+k0Uk11AJ260UruKIv2GanxG5okB+GXApnOXyD/KdBx23DlXo3SkdTRbE9SJ5kq1G
bvKHg/rc7zR5HnjjfDj8VytP/X5Z1o8Usq5Ip3NM4OOc0GjSbnTQ+6icanDrOr+8tqTf+M5vhnwk
vin6IXhyOqXFGoSEqoxBwcMNp0BBGQcieeeB8O+5apT/ANHlnMcBtEBFOpcp7Vmx+UZMO9pvw+4a
hwZ6gOeUTyl4PVproo8Suaadtj/USPqHE6VLRR4kDgYBq09Rjoab2qLwf0JcYcGetE8sJxmkoHi2
1YjrpK5h7jjIH+St+f3apOf5R+lb2lF/H62Iya2uj1InlNxO9QAfsmuxzuQy4x+cNxxKZUVLS6XJ
wcUi2Pyj9HW4K/c0/Jjo5HqxPM/b1lrVWNRM8y6FcfnOq8Z4c9QIl3SYkZ2M5eFrreD8B0c+Ruic
6dejVbTTqIxxnAOZ0lLTTszhprcRESAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIBib7Xiqjp
STPzM2zFY/aVbit+J9I9hNsooaxcubZnw+sXPm39BM3ELYXdjVonmy7e80xLmrqxrp1JU5qcd1qf
CWqVPrlOgK7IdeGcH7xHX8puoULi4t61ktvSqpTdhqY4IPpOX0gtXs+I07ilgBm1YA+c6WV7o414
yN9jUIBHqR/vMKSUsrPvqs5V8OsRRs7xuv8Akn2W11djGEq/WqdB6dVzTUpUVTgkA8vWezwPiNJb
mpZY0LnNMEYPsZ34gi23GLO52VWYhj3OJ24vwune2xqUlC3C+ZHXYy2MJRba4Hl4nHUMTCFOsrRm
t+Urvh+aMzWFpRubu8NVclK2VIOCDPdnyfCat/Tq1xbqlXGC6sdycd56bfSGhQVhd0qlCoBsrDn7
TunOKjroYPamCxEqzUHmSS0Tu1ouG5KVEpfSC5d2CqKQJJM8ni30napqo2WVXkah5/KeLxHiL8Qv
HrEaQdgo7THM0671UTHj4WnDN/WPkahVarb1NbFmzkkzYvwieWjYDDuJ6i/APaehgp5l3L6kVP8A
0cP+UvKJcHAIxzmep/maXznecKv+ZpfOaq3u/FeZHs//ACv/AIy/+rN9jp+tKzjKqCTicS2KhZe+
2RNFpqSjcVFAICaTn1mWWLcxPZHPWVuhuQSpE6StamVegxGNWcGXUZYDvKqW8u82433KP/H1Zorg
Ja0EwQxyxzMYTXd26nkXmu9P+I0BtQQBZiq5V6bAbZxIrf4/zmT7O/8AUrufkzeD4109V/hU5Of6
SalUi1IJOqs2cZ+6JVxot0pj4n3aZqlQlgSMnkq8sgTXFqnHpHw27/zUx0YSqyeX87StXQKL6w3w
nTgc563DaLUqJqKdqiDLY5n/AGnm3Cilw3B3aodR9B0H9Z71oETh1AH74BM85pzq3lx+R7cZRhgc
tN6ZtXz0v4GaoWq3FNGYEr5jjl6YnsWl8mtKdd/O+yDHOePQ81apUGwzgewnj3d41xe+JScqqHCk
ek209W2U1nkioHs0CTd3oTSaprHR2G25/KefcBarC6ZT9TtW00aeN6jdc+kz218rPXoswpio2qrU
1YIUcwPUyalYVD9duS1OyTa3oA4NTH63MjCwioXZ3j2+nfcvJHCkzVqd5dXwNOi5BZsbn+FZ495f
tfFiFFOlTGmmi8lH+82V7m+49ciklL7JeSIuFX1lalva8JqBlr07uspyyAZQdt+strxioXtxXmjn
2e30714S/wDqzPZcHu7un4zEULfrVqnSv/M0VOI2fD6ZpcOpmpWxhriqM++BPPveI3N/UzVc6R8N
NdlUdgJkmjo0/eRl6Wa2bOoq1KlYM7EknfMiozCo255ytP8AeL7xU/eN7yrJHp9uHqbOln+jvd+9
6FqdQq4yTiaszDNVF9SY6iXOEeRj6Wf9mdT0nu0tOA2kHygfynhHpPdtV1Wav64J+UyU0uhX5xN+
PlLNV14R9C2B2lKdJvHd8bGdTpB280gknmdpW4ptPkeNTrzgpRX8lb5pg4GMHJ6ySSfbtIidFIiI
kkiJEmQBERAEREAREQBERAEREASSAAMHMiIBKsVOQSD3E3Wf0iFnV8O4Quv4hzE89m0qW7TynYu5
Y9TMWNrunFRjuwlc/SbS/tr1NVCqrenUTTPy+lWqUHD0nZGHVTPqOGfSkMVpXoA//kH9xMdPEp6S
0IcT6iJSlWp16Yek4dTyIOZeaiBERAEREAREQBERAKsiN8SKfcTm9nbVBh6FMj/SJ2idKco7MXZw
t7K2tWZqFBKZf4ioxmd4iRKTk7yd2LiIiQBERAEREAREQBERAEREAREQBERAEREAREQBOdxU8K3q
P2UzpMfETmgtIHeo4WVVpZabaKq08lNyR0saZp2dMHmRq/OaJAGlQAMYkzqEckVHkdU4ZIKPIRET
s7PM45afWbBmUfaU/MpnyHjLSpACmdxjOckdQZ+gkBgQeRnxvE7RuGXZAH2LN4lM9j2My4iH8kfW
f9O4xOLw09XuvX6+Js4hxC3veGUGWor1aTKzD+U0WvHHqWqUadB610BggcvcmeRd23g1tVHSLa5T
WARyPPE11eJULI0b62qK+pdFSmNsnvOVNp3bsaK2Ew/QRjCOZXbjfg/6u3bdd6RZr5uD8Qq1bpFF
SrS1aU5Fsz5y9vK1/cNWrNknkOgHaRe3tW/uTXrNknkOgHacJnnUb0Wx4WOlJunW2bj5Nr0KkeaT
giDzEtKi/EY2oqdJtKSceKvqm1vv8yue4np069MqBrHLrPNPIz0KKU6tBSUB2noYByzNRIlPDVMI
nODilL+L5rt7uZ3DA8jmcav+ZpfODbJ90svsZxqU6iVaZFTO+BnpN9WU1HrR4rzIwNDDuq+jqatS
0atvF8ro9ZVZeHO4OzOBiZpV/rVO3pqdDA5YAc5zSrV1qDRYnPIb5narRW6a+Blfs+o/clGXdJet
jve4W4tkDZxTyfTM7Wa6rpNwMHOT6TFeXIq3wqMhQDy6SNxNNtd0Up1n1rq06QCO8rp1ILMm92ac
XgsQ40rQbtG2ivxZFRi9VmJyScxWTFG2UKNdSpkb9JyFWmxwHX8514lUArUdD0/ssAEcvedVppx0
1KvZ1CqsQs0WtHuuxl7uqRdBKSazjdc40r1/2lKSGrWAJyWbmek6UQKVhUqO4evWbDMRvgf0lrXy
LUrfhXA36maJ32fAzVJxhBUae3F8/ty+ZW+H1g1dGQlNdvQCepnRY0WXn4QBHeYgnh8LrVWOC4IH
rO9LL2lurEMSAc+kyp3qu3I9DDwvhFf+3ojld1xacP0DJqVPKJ4dVnSnhBljyGOU2X90Ktd6nNE8
oOZ4lSvUdmOogHpPQpx0tyMlWeeTZI0IcuckdB1no/XLSuhub+tpC+VKNMebA7dAJ4V5d0bKh4td
wq8t+szrUFfDqQwbcESMPFOFm+fmacf/AJ79i8kezX45cVwaNuq21sPuUxjPues80HPiH0kagg0D
GephPhqe06rxUadlzXmRgNa/wfkzjEYPaTpY9DNDkluzIoSeyJp/vF95NX943vJRGDglTjMs1Jnc
kDbMyurBVrtq1vU9GOHrSwuVRd83LsOMvTbQ4J5S3gt1Kj5x4SDnUHyln6mnwdyj/t+I4xt3tLzZ
tXGtBzBI5z20GgNTXamHOBPBpkeXBzjkZ7KJWIV2qDB3wBMcKj6NJJ/jNuPw6tUlKaXu9vDsvvwO
8RE7PmhERAEREEiIiAIiIIEREAREQSIiIIEREAREQDNePhAgO5mGdK9TxKpPQbCc58/iqvSVW+B0
tCJMiJQdG2x4ndWDg0ahC53Q8jPsuF8dtuIAISKdb8BPP2nwMAkHIOD3ltOtKHcctH6nE+P4T9Jq
lIrRvPOnIP1X/efW0q1OvTD0nDqeRBzN9OpGa0OGrF4iJYBERAEREAREQBERAEREAREQBERAEREA
REQBERAEREAREQBERAEREATFW+14nRToiliJtmK0+0u7mtjYHQD7Sitq4x5vy1M9fVxhzflqbYiJ
eaBERAEzXtml7bmk+M81OORmmQSFBJ5CQ0mrM6p1JU5KcHZo+PuLmla2VSwuQRVouTSbGfafOMQ7
MRtk7Celx6+XiHEGemBoTyg43M8sTy6sru3I+4w1Xp8I6lBtSbu+Npb7cnrpz+blsektIK7QOW0r
POxn6fG0ukjPK4uz0srvy1uS3IRIJ2wZIknn4nD1KeEhmWze2ujs/qMbTbYtmmV7GYp3sn01ivea
cJPLWXaUUethaseWV/O3qejOFzsqt2YGd5WugFu2fiGCB6T2qyvTZXgJZcVBva9vHQ13jAmkoXGm
mB7ytmoN0pJwF82facqlc3BFQ9QJ3tcrSr1QAQExk9MyVrFGecctRx5PyMF0c3CVDvljuZteki2C
ZprqqNnV6CYbkfZg9iDN90P3VJMjSg1E9MyluMZyv2M9HLUqYelKD2zLu1v6mWnbpUqhVRcjckjY
e8416SKAVXmwzgz0bUCha3FRCQOWOeczJVpl6bBfu+badOhHopVZrXgaMLjZxr06UZtxvrd7308O
R0u7KnT0BdajTuNWd4axwtGilSpqfcgNNFlUFepiqMq4yR/ebaFMi8e6yCiDy47SJUoZbpGL/uGK
jJwlN721Mlxw80qLU1r1WCqSVY7Z7TF4VQ2S1BcNjGkDt3E+gqBWt3uKnxEHCjkonyde5FO1CKfM
CR85XTowlVUUezTxldYKU3vdcFs79nYZLioVY0wxYDnMxZVBJGwjnPnPpPxQ0aX1KifO/wAZHMCe
hKjThG+vizBHHV5O2n/8r6Eca4rRa3oVRRFei5IAbkCJSy46lrTQVbdKVMnkOkw0wF+joaoAXpVM
gHpmeHUqmq2p2J9B0nmwWr7z0sTiakcuVqzS4Ll3H6OlylQB1VCrbgidVbUzDSMgZGJ8RwfjJs3W
jVyaJ6k50z7Kg6u6srZRxsR1m2UKUqTlFaozYbF13iYQnLRu2y4k+M/oPlINZ+8oRgkSJqVCluoo
xTxuKvZ1H4lxVfUMsZasSKh32nKda2+g9xOHCMasbLe5dCrUqYWopSbaae/evU5RE0ULKvcboh09
zNLaR5zfMtbhnNJUGWLaQJ9IhBt6Q6gEN75mCz4YLd0qM5LodQA5Znos2piSAPYYmLRJpc2W4rGR
qwyxWto/JWIiInJ54iJIBIOBy5wCIiIIEREEiIiAIiIIEREAREQBERAE43D6KJ3wTtO4GTgTz7up
qqaQdhM2Kq9HSb4slGbMSZE8E6JkSYkAiJMSQRPQ4bxe54a40NqpE5ZDyMwSUUM2CwXbmZKk4u6B
+i8N4nR4lbipTOHHxJ1E2z8xtrmtaVRUoVGRh2POfb8J45Q4gi03IS4xuvf2m6jXU9HucNHrxETS
QIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIBSq4p0nc8gMzhw5CtorEeZyWPzkc
RYi1KDm5CiaaaCnTVByAxKPerdy8/wDRn96v3Lz/ANFoiJeaBERAE+d+lHFDb0RaUj56gyxHQT3q
1VaFF6rnCqCTPzi/u2vb2pXbm529BM+IqZY2XE6gtbmaVIloM8/c9LAY6eEq546riuZVT0kjniQR
vG4kH008HQxqnWw7SU1qu1a3777otKgSw5SORkng4KrVpKrQi7O113x7HzVxv7y1NtNQN6xKt3hO
zujrB4mnXqOlUgk5Jq60vxWm26XA9hHRt8gj0M60aXj1NGQBgkkzDRo06lJWAKnHMGabehWXxGSt
gKp+IZzPf6Sbhdx35GSNHDuadOpZrhJW+av6HOgc0gOxIm7Crw/OTqZ+XoJ5dFqiVGphNW/eehUu
gLajTrUyhUHSCOfqfT9dyOI14RglLh6GrFeza1TETlTSalrutnrtvxOD0zUQruABknHL9frri3i+
KgIzj1O/zl7a5oEsFcIqocBupx/WZrRgQlMthicCdUV0ldNvdeBNajUhgnSUWrSW6et09e7Q1eI3
gCn9zJPzlwpTh9epg+fyA5i7ZPrBSnsq+UCXuiFpUaC4OFydupmqrJT6q2PIhJwmpcjjYZTh7Vup
8i+89i2pmjbJQAAqPuS3JR3nk8MR69RbUrgU3JP/ADPfVWuKhqJpVQcA9T0zMUZXiuw242mlialt
r+epl4hUFvb+SoD0OewnxVasXqMwx5iTynf6fcTp0VFnbsAy+VgG3B55nyVN7m54YhSqwZXIZi3I
esroVHGed8/lax6yor9O6K06ifxvfyPU4rxL6hZtUOC52QY5mfB3Fw5qNVrVDUrtzzyE7cR4k9Vv
D8Q1Cmwf/aeXzm6rUzs82nTUT2LBjX4RxCk25ADj5Tx563ATquK9H/uUWWeUwwxHYzLDSUkehW1o
05d68Hf1Inv8H4u9pcUaNQ6qDYAP4TPBCk8gTNC0qumkVRzg52EsbsZY3U4tcGfoFT94fWVnnLWv
P2jTC0XqUKyKcgfCcT6ChYKTmq5x+FRNdHF0uiTk9ScXga/6ieSDau+BhVSxwoJJ6Cb6NhUuAqN5
COeec9GjTp0f3Nsc9zOuiu1dG0aC/lGeUpr4qLyuPB/Y6wuErWnTlZZovir6Wey14HO34bQoDddb
d2mwAAYHKXSzZGDV7lcD7qzualsgGimWI/FOlOU9Wjya9BU5Wzp91zOFZjspMidmuqhBAwq9gOU4
yTO8vAREQciIiAIgAk4AyYgCIiAIiIAiIgCIiAIiIAiIgFXbQhbsJ5ZJZiT1mu9qYCoOvOY542Pq
5p5VwOkhER0mAkiTIzJgMSVRiCQCQoyfSRGSOsAdYnVdNQsNAU6dt8CcoAlkdqbq6MVYHII6SsQD
7fgfHFvkFCuQtwB//qe5Py1Ham4ZWKsNwR0n2vAeNpeUlt6zYrqMAk/F/wAzfQr36sjho92IiaiB
ERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQDFc/aX1vS6AlzNsxUPteI16n4AEE2yijr
mlzfloZ6GuafN+WgiIl5oERBOBkwD5z6V3ppWyWqHepu2/SfHT0ONXX1vilZwcqDpXfIwJ588ytL
NNssSshERKiRKkYlsRBuwOPnhJ3jquK/NmUEknvJK9pHXeQfUKrh8ZJYmLvl3Vusrd268fgWEHlK
4wZOe4g8KtgHCoqmGknfVLZ/Pe3YbrFsoy9jPUpMEsq3lyWIUHtPEs303GO4nrPXZbZKCjcnXy2n
tYWquhV+4oxmFn+pdlZNZtdLX38GZHzTuEYEqzjAI6HvNt0qpXZFYsBzJ6nG8ymg1QEUxlwdfzlx
VNf7Q823MtpwtVbludYqqp4SDpvRPK+btqvsuw7aaaWFR3RPMwAJGT8pjsrZKl463CclL4BmhnNR
aY0YRM8/vHv+uvsDKVqTJbi6GwD6feXYqlCEFda3u+7l6sn2fiKqm6MZO8lZa7PdeL0JoWK17lUB
YZO+D0lktHr3LYrVABuSTnAE0WreHRq1dvh0jPcy1BWFudPx1W0D26yt0qa1sZ17RxWzlfvs/Mz2
qXC3NRUuPCaquVbGdf8AtPRqJf2lq9apeoipyynPaTxFFtaltWpnPgYDL6HnMX00uzb8FLCoq+Jh
Kaqe/U+mJkhC9+zXc9mFWdV0Wknm0fVT1W/DlqfBXHgcRuK13cowViXaoW2J9JhN3Z3NvXtKKuKV
NdTqNmb5zHxy6NvSp0UJC6chc9e88fhV19X4lTdz5WOl89jHRdS6NMcbmxPWirN22WzNH1jg4/8A
xKp92kfXOEjlw9j7vMfEbY2l/VpdA2R7ThTpVKzhKaM7E4AUZJlyppq934mWpialOTi4xVv/AIo9
q04lw9Lqn4Nl4LE6fE15wDJvbyjw+7egthRYqdmffV6zVwf6D8U4kQ9RDb0+eWG/5T7qz+i9nTut
N6lKpXp0wC776h3A5SuUYRmrvcsp42pOjPIleOuiVrbPhbkfEcPp8Y4kA1pw6hTpk/GUwJ9pw76O
1KdotW8rmrU1Y0ooC+0+gVbKgoVVZyByGwM0U7sm2qeHSVdONOBn85Z0cf4w8fy55lX2jiH71W3Y
vtZHk0bEpdmiaYXIyNQ5CbfAt6OzvqPUJ0mW5WvUAr4dvDO57CaKdpWqKSEx/qOIpWpyak0vuTjJ
zr04VYpybVne71XZ2qxbx0p7UqYH8R5zjWdq5XxDnTuJ2+p1FH2jKnbUeckW1MbPWUNz23E1Jxkr
rVHm/vQlyfgZomjTbIMF2c91jxbdfKKJYdydzOirJzaM8Tu1wunSlJQvTPOcIOWktncREQciIiAJ
OTjGdpEQBERALauWQDgYlYiAIiSBk7nHrAIiIgCIiAJBIAJMsTk5me6qaKWBzO04qTUIOT4AxVX8
SozSkYI5xPnJScm2zsRETkERJiSCJMRIAiIgCRESQTJR3puroSrA5BHSViAfc8B40OIU/Bq7V0G5
/EO89ufmFCvUtqy1aTFXU5BE+/4RxNOJWavkCqNnUdDN9CtmWV7nDR6ERE0kCIiAIiIAiIgCIiAI
iIAiIgCIiAIiIAiIgCIiAJDNpQsegzJmXiFTw7N8c28o+c4qSyQcuRXUnkg5civDR/hjUPOoxabJ
zoJ4dBE7KBOkijHLTUSKMMlNREREsLRMvEbkWnD61YkbKcZ7zVPF+lFbwuEMuM+IwHtOJu0WwtWf
DE6mJ7mRETyi2wiIglgxEQRbQszAhQFAI6jrKECTEF1GtUozU6bsyu458pIMmdKKJnWxAweR5cpG
x7dHFUMdF0sTHK98y0Xf2X48+VyFUIAx+LYqO834Y00ajWzkZZWHIzz6bKaiitkqNsz0bqpbrc+J
ZkmiAFOefvNWEklPU2TjXjSdGCvD+LdpKXY328OT0OlvcPSLtVosRoIykyUaoDGkGKZbIYnGB/v+
vf0BV8Ph9TSAXqkKo647+3L9YmYW2sKyqGemMnI+L3nsuE6UenTu1sn5/nE8zDVsNUvQqwyZuKfF
baPbkarhqRrFaJGhQFGPSTeoBa06O266jjuZjoW9K5dNPlLHHPlOrWlQ3fhUq7HzaQW3nDnOSvJX
XYzP0FCnV6tRxkn/ACXFd1y9GqHsqNFc6gTq957Flb+JcaV3WguN+RYzxqtG5sbparKg1HIyMAke
nSeql1xDRhLNCpAZgrYyJV0iUck76GnEez3Oq6tOUcstVql59pq4mKdtw5kY66tQEZM/NvpHd1Kv
1alVdQlEFmZt9+WDPrL3iVa7rgtQZQuwUHM+N43YvxdiaQydWxI2x79ZzWqRvG2nM3+zcNWVKqmk
/wCuqeuztZ8j4ridRrurrG4XYe052HCOIcQrrStLWpUc8sCfo3Cfohwy3pU63ERXuKvPQowvtmfX
0OJ2lki07K0FJBthUxqEpeKS6sA/Z9W+aSZ8Xb/QE8TuaQ4lWNGrSpDxFQZz8/SfWcO+j/BOCgta
UqXrUbzN7YPMSLi/H1xK9Go6OPK2sY2lm4jtqWyGM4yElVOU2utL4bFuMw85NThDVrW+uv5qbjWo
nJ+sBUG4RBg/IzzLh7elXpV0V3AOGV+0v+00qDFWyJxy0jT+cqbmhVHhvYkI2xbVuPWWu1rJO/w9
DJRo1YVc9RxUdnd62e+7ZoF1RQZpW6hj+LcYlk4iyKQtJFJ5ldpxpvYEYXxjjY5ABkvb29Uhqdya
SjmjDJMvTpuN8jfizzpUa0ajpyqRj8vJFK1zVr09DNt6DEr4lU01V6jNpG2TNK29s2wuDqPLy7Zk
fUsHDV6Q/wDKWqVGLulb4GaX6mccjd1vun6mbJYjJMMNLEA5AmlrCtzTDp0YHYyDY11QtpBx0ByZ
b01PbMih4etvlfgZonUW1duVJz8pzKsCQVORO1JS2ZVKEo7oiJOD2MiSQIiIAiIggREQBERAEREA
REQCckjGdpERAJIwSJESScnIGPSARPPun11cDku021X8OkWnlnmTPN9oVbJU0Si+sNqNTLNjAOeU
qylTg4+RlZOZ5J2IiRJIEmIkBiIiCBERAOlQ+K2pQAFUZE5SZLMCAAoBA3PeEdXKiIkyQ2RNnDb6
pw+8Ssm4GzDPMTJEJtO6IP063uKdzQWrSYMrDOROs+M+jHEzb3P1Sow8Kp8OejT7OepSqZ43K2rC
IiWAREQBERAEREAREQBERAEREAREQBERAEREATFefaXFtR7tqPym2Yqf2vFKjdKaBfmZRX1Sjza+
pnxGqUObX1NsREvNAiIgCfLfTFm02y5Ok5JE+pnyP0vqMa9vT0kKASG7+kpxDtTZMdz5mIieaWiI
iCCZEZiAhESQRq8wJHpB0ld2JRARqbOjlkd4Zy53222HaHfU2wCgcgJWC6tVVujp+7833/Q18No+
PxGhTKa1LDUuOY6yrolS7q+F9mpY6UG/ymjg9QULmpcmqtIUqbHLdzsMfnM1rUzcg4+LbfnNeDox
c+kq+7t3vs9WaMJjq+Ej+1LR8OD+BZWrWyDVTwW3we022d/TVKxY6Cy6RkZmq/BeqlJ1GUQDaKnB
6VKyWpVqeFUJyBzJnoTjWjrF3XI9BYvAYtv9RTyz/sn5/wCjHZutC7FZdJpHY55KTyM9m3NvbU61
VPtKir8fQE9p5tW2ovZh2VVfVpwmwIHWZqqXdvRRUcNTc6tIG4kxnOkm2tGcVKVDFyjClUtNaXlp
flrz7dLnqilUvqWio2XrNqLHoBJPEHo2lS0q48cHGoD4l7zjYXV0yNWWglVEGk6TjAnnX9411cms
UZGHIdMdpS6qlPpCylgayg8LUs77Wa0fdvZ8fHgdpzrUxVUjr0Mol1TYDLYPYzqlSm7qNY3OOc2Z
qc1a6PHWHxeGqKWRprsZ6lvdM1igrUyDRUY6Z35yGANY0SQNXmpv0X2lq7ha1eifNSpUiAOpxyMz
Gp41jRuFOGQ6c9flPPopZst9ftoerjJSknWiurx7+K9V3ENTW7DUqpVKq7am2yJloV69jVa3ZsEc
s9ZqrKK1EV0GCNnHr3lA1KsipXTLD4ag5rNDhdKSW26M1HERWajVej1T7eD9H8zr41tU/eUip6lD
zlWtMrqo1Fcc8dcTlVovSPmU6TyboZRWZGDKSCOREvUNL05eqPPlU1tVjr4MNTNNiGUqTzyJE0pe
Np01UWoO55ydNtX3VvBb8J3BjPKPvLw1Dpxqawlfv0f0MsTu9nXTfRqHPI327zhLYyjJXiymdOUH
aSsTqYDGo495KVHptqRyG7gysSbIhNrY6m5rHnVf85b63WwBkflOESFFLZHXST5s7Nc1HQq5BHty
nLdiWJ365kRJOXJvcREQQIGM7jIiIIEREEiSTk8sSIggREQBERAEREARJBwQSM+kqzBQWPIbxsDH
eVDqCDlzMyyXfW5bvKz52vU6So5HaQiPlEqJEmIghjMRHSQBEjpJgCJEmAIkSwGQTqAx/OARElwo
PlJIx1EiAIiIBIJVgRzHKffcC4j+0LAFyPFTyt/vPgJ6vAL/AOo8RXUcU6nlb/eXUKmSXYQ1offR
AORmJ6ZwIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAQTgE9pk4cNVOpWI3qOSD6Tre1PDtKjdcYEm
1p+Fa00xghd/eUPrVkuSv4/jM8utWS5K/j+M7RES80CIiAJ8r9MeVr859VPlvpgrFbZsHSMjMpr/
AONkx3PlIiJ5xaIjpEgCIkmCOJERJgXIllXOSTpUbknpK9QMbnYTtQtq97WSjRQuxOyjv3minSio
9LV0j593q+B0kbrdadxwq7quEUUQFpKRuSTzPrz+X854Pwive3CVSui3Rxqdjj8vWeqbW24Fwj/G
ola6epqWmpyNhyb2zMVhf3V7xB7hgpSjTZxT5Im22BM8q7qXmvhbh3F+VKSUjXXuqVOu/wBVGosS
CzjP5TlfszVkRs6lUA5Od5lsP8TUp5GctviaABX4hgA6S/zxPo4TzRUuwzN3LV1YtQthnKgbHbcz
uF13r6ckUl0rnvynJXD3lWuTlUyRn+U3cOoKqCo//wBjZ6dv7zmbtE6irs53rU7O08GmqrUqfEQM
Ezx+c0Xlwbm5eoeWcD2nCd045I2IqVHKV2zkaFMuH0jP9ZdKFLxF8g5iWkp8a+8dHDkW/rMRos70
7WegyIeLXCkbVRpY+k4Wyq1CrbjkN1/4E7VHKcWJABycb+s4Bhb3x0k6Q2PXExU4LL1d7J+Btr4i
cpdeTaUmvha31KW9XwmKuM022ZZFekaNXTnIO4I7Sbqn4Vw46cxidEP1qjoY/aIMqT1HaacyVqi2
e/1MSi3ei91t6o5065wKdUlqfLHb2itRFPDU310z94TidjvOtGuaLHADA81YZE7cWnmgVxmpLLPx
5fY5RNNSiaymtRA0geZR92Zp1Gakro4nBwepdK1Sn8LkfOd/rNKrtXpgfxKN5licypRk78TqFacV
ZO65cDUbRag1UKikHkpO84VKL0mKupEpkjlO9O7qouk4ZOoYZkWqR2d/M7vSnusr7NV4fc4RNWLW
v3okfPMq9nUUAoRUB/BvCqx2lo+0h0JWvDVdn03M8QQQcGJaUiIiAIiIAiIgCIiCBERAEkDJxnHr
AGQTttIgCIycYzt2iCRM93U009I5tNEwORXuSuSRyXAzvMmNq5KVluwlcz4iCCOY6yJ4Z0TEiTIA
iJHWATEiT0gCJHWTAYiJEkFlK6xqBK9QJB5nHKIkAREjrJFieUSIzAsTA25SSAACCDn+UiQQff8A
AL43vDELfGnkY956k+I+i921HiPgfcqjf3E+3np0J5oHDEREuAiIgCIiAIiIAiIgCIiAIiIAiIgC
IiAYr/ztQo/jcZHoJtxjaYv3vFR2pJ/MzbKKWspS7beH3M9HrTnPtt4fe4iIl5oEREATwvpXTZ+F
BlGyOCfQT3Zh4vb/AFnhVxT3J05AHcTiorxaJjufnMQdjuN4nllwiIkEDpERAJllpu+PDUsSeQ/X
627ibuGcJrcQbWNKUFz4lR9lX/f2/ptPRPEOF8GBXhdNq1xjH1ir09h+cvtTov8Ad1lwjx73yXzf
DmWRpWWaWiOdrwQ06AuOKXAtaB+FCPOR6D9dOwkXPHktqZtuE0hQpYwahHnf3M8m6vLi9qmrcVWd
z3PKcVUswA5nYSirKdaWaq/hwJ6S2kD0+J1av7P4fRqDGEL5PM5MpZ6KfCr2q2rW2mmuOW5z/aX4
94qXqUKjBvBpKox7SaxqUfo7QplVC1qzOD122laXVS/OZL9534f6J4M2PGYtp0ISD68prtcqtWvv
5F5g9TM1jmhwiq+tQK1UKF67CaiuiwQad6j5znoJ7uBqZ6VuTsUtWsXpUmNqijOus/8AITbfP9Ws
AiEZqn+UWtPXdbAYoqF279f7zz7+4+s3TMPhGy+00WU5a8DpvLEyxES4oElfjX3kSV+Ie8PYlbmu
4c0+I6wASCDgzleKqXTac77/ADlr04vCe2DJvsNUSp9511MO0yUdOj7voba+vSrlL6iv9raUqvVf
If7TMjFHDDmDmaqH2tpVpHmvnHp3mSW07awfDyZVWd3GouK+aNVyniD6ynwudxncGZZotagGuk/w
1Bj2M41KZpVCh6H85NN5Xkfw7iKqUl0i479/3CO1Ngykgid2WlXTNIEVeZXofaZpKsVYEHBHWdSh
d5loziFSyyy1RB2iatQvMLpVavTG2r/mZ6lNqTlXGCIjO+j0YnTyq61RWIidlYlkqPTJKMVz2kAg
A7ZzIhpPRhNp3R1rVzWC6lXUOZA3M5Sc+XG0iRGKirImUnJ3b1EREk5EREEiIiCBERBIiIgE4OM4
2kSQcEbZ9JEECIiAcq76KLEZ7Tzd/n3mq7rEMUVsDGCO8yzw8bVz1bcEdLQnWxUKWOOYErJiZDq4
iIkHIiIzBIiWKkIG2wTjnKwCJ0FMGi1TO4IGJSTqOkrnY9IFyIkvoBGgkjHUSskWJkREARJiARER
BIkyIgg7W1Y29zTqrzRgZ+l0aq1qCVVOQygifl0+/wDo9cfWOEUstqZPKfSasLKzcTmSPViIm45E
REAREQBERAEREAREQBERAEREARE5XNTwrao/ZTOZPKm2cykoptmew873FY/efA9hNsz2SeHZ0l9M
/nNEroRtTV/y5Vh42pK/f46iIiXF4iIgCQw1KQeoxJiAfmvEbY2nEK1EgjSxxntMs+m+ltmVrU7t
QNLeVvefMzyqkcsmixO4iXp0qlU4RS3U46TYKVnbL9rU8av/ANtdlX3P+35zqlRnVfVW3gjtRbMi
0ajoXCnSPvHlJJFFxgBhs2c7/wDH9eXLcS9W8qVVUfCFBAC8gOw/XvmZ5e506OlLWXPl3L1fwsTd
R2NVbiFzXpLRapppIPKiDSo+QmWImNLiQ23qyZosKS1r+hTfIVnAJHaZp6PBfDHEkeqpZEVnIHoJ
zPSLEVeSOPEXWrxK4amxZC50nuJ24roQWtBNX2dEatXc7/3ma3pm54hTRcAvUGM+818Wd7rjtRSo
LCoKeF642kWs+463TfNlr/xKNnw63KKp0eJkcySes9NV03lNGG1FMnG+/P8ArMZVbr6TKgVUp0SA
QxyMKP8AiarNmvGeoQNVaqRt0AOTib/Z07NxfI6nHj+aG13+p8NNTP2tbJ/OeJzM3cSreJctTD/Z
psB3MwtjJwCB6z2YLS74lNR3dhEROisSV+Ie8iSPiHvIexK3NF9/mm9hLXRD29CqRhiNO3LAlb//
ADR9h/SS5D8PRjsUbSMdRMsNIU3+bG6etSsu/wCTOdrU8K4Vjy5HMi4p+FXZcbZyPacpquftaFKs
O2lvf1l0urUT56fnzKI9ak1y19H6GWan/wATbBh8dIYPqJll6VVqVQOp3E6qRbV1ujilNRdpbPcq
Bk4k5U58vTbE63VJUcMg8jDInCTGSkro5nBwk4sZminUpVF0V9WR8LD+8zxEoKRMJuD0L1KTU3we
XQ9DKlcZIIIG07U7ghPBqeal26iRWtzSAYMroeq9Pecxm08sv9nUoJrNDby+xxBwYiJYVCIkjGRk
7QCIgxAEREAREQBERAERGDjMAREQQJV2CIWPQS0y3lTChB15yqtU6ODkSjEzFmLHmYiBPnW76nTI
7yZEQSTIkyIIJl6dMOjnONK5HrOcsGZQQCcHY+sgnYrESZIbIiTIgEyJMjrIIRMREAREQQQZYISh
fbA257yJEk6TESYgXIn130PrMaFxRwNKsCPnPkZ9H9EajC+q0wfKUyR6y2g7VEcy2PsYiJ6ZwIiI
AiIgCIiAIiIAiIgCIiAIiIAmLiJzSSkOdRwJtmKp9rxSkvSmpYyjEawy89DPidYZeenibAMADtJi
JeXiIiCRERAEREAxcWsxfcOq0tOWxlfefFJY0LRtXEahBA/c0zl/TPQfOfoU+H+knDjaXxrop8Kq
c57HrKasaa681f8AOJZTklujJc8S10TRtkFCl+Gn19zzP62nnkkmREx1K8prLsuS2/O3c7lNy3ER
EpORERAE9XhRq0bO/uEQFRR0Enpkzyp6lKnUp/R6tVD4SpWVCAeeBOZHdPR3OXB1Q8RR6mrRTBc6
eewzOnCVWtxTxnVzTphqp08xiW4U1ShaX9wqqVFLQSfUylhijw29r+IUYqKagdcn/icS1v4HceHj
+eBNmStC9uQQCw8NMjJyx/2zPoqaGwshkELQphN8fGdzPKtaQNlY2xcFXdq9RSOQH/ozvxi8aktt
ZbDXmrVwPvHkD7S3DTtiI2/OB3a0G2YCckkwSSdzmIn05jEREASR8QkQOY95D2JW5q4h/mj/AKR/
SKZD2FVWGyHUCOpMniIxd/8Agv8ASLQhqVak3wldWeuRM21GL5W9DZe+Jmueb1Mk10PPZ1qfMjzA
dvWZJ3tHCXAz8LbHJ2+cuqpuF1utTPh5JTSez08ThEvWpmnVZd9jtKTtNNXRXJOLaZqtWFVTbudj
uvvMzKVYg8xIBwciaqwFegtcfHnDyt9SV+D8/uXL9yFuK8vsZYiJaZxOlGr4THK6kPNe85xIlFSV
mdRk4u6NFSiKualBTp6qPuzPLU6r0myjFT6TQaS3CGrTKh+qdz6Su7hpLbn9fqXZVU1hvy+n0MsR
EtKBERBAiIgCJOfLjA95EEiIiAIiIAiIggj1nmV38Sox/KbrmpopEdTsJ5s8v2hV1VNHUdyd5ESZ
5hJERBgkdYEmRAJiREggmREnpJJ2IidAgNFn1bggYnOAJMRIIEiDEklbE8xEiIIJiIkASDEdJIRM
9/6Jf/J1P/rM+fn0H0S/+Tqf/WZZR/yIh7H2kRE9Q4EREAREQBERAEREAREQBERAEREATJbI5uri
q6kZOlc9hOlxcCiMDBc8genqZ1TVoXUctjcypqM5rsKZKM5pf11LRES0uEREAREQBERAEx8UsV4h
YVKBxqIyp7GbIkNXVmD8urUnoVnpVBhkOCJSfVfSjhX/AOdRX0qf2M+Vnl1IOErFqdxEROCRERAu
J6V4KVPg1kiMS7lnYdun9p5uJ6PFmQPbUUTQKdFRz5k75nL95HUdmx5KXAfveJWrfLAH/M7MlQcH
s7dWDePVL6F59h/eRxRKtK14fasykeFrAHdjNvhn9tW9OpTKraUAzCn0wM/1ld9L97LUtbdyN1pi
le3dwPE8G3QUQGUHYDJ/p/OfLXV1Uur17lz5mbPsJ9HxELZcAoio/wBrdksxGS2Cck/0nypHPAOO
8UVbrEVm9InsavF0lR0lZytX1URvuNp2n1dOWaClzMpEmWVAxAB3xkys6Al6NM1q6U1wCxwMyk0W
QK31HO3mEh7HUFeSRN/UFS6YrnYBd/STYn7Y0yPK4wT2E43H+Yqf6jLWjlLlCBnO2/rKJK9D4eho
jK2Ju+fqcmwGIHIGQNiDOlwqpcVFXOkNtmc5endXM0lZtGq7w6Uq4+8MH3mWa6XnsaqH7pDADnMk
ro6Jx5fiLq+rU+a+fH5idber4T7/AAsMN7TlEslFSVmUxk4vMjrcUfCfI+BhlfacpqpEXNLwT8a/
B/eZSCDgzinJ+7LdFlWK0lHZ/lhERLCoSQSpBBwRIiBexLMWYseZkREbBviIlgUw23Tb3lYIEREA
REQBERAJZSpwZEEknc5iAIiUqvops3pIk1FXYMV3U1VdPRZnkk6iSeZkT5ypNzm5PidpWGIiJwSI
jEQGTHSJEEExIiATHKREAs7BmBChcdBKxEEkxIjEECTIiATEgxBPAmI6QeUggSBESSSZ9H9EaTNe
VqwxpVcH5z5vlPsfojRC2datvqZsflLqCvURzLY+jiInpHAiIgCIiAIiIAiIgCIiAIiIAnC5uVoL
gYLkcu3qZFzciguBgueQ7epnnsdyXOWPPP6/9f0y16+Xqx3MeIxGXqx38hSVrmuNROCcnPM/r9dZ
7A2GJ51jTLVNZGyjaejIwkbQzPiMHG0HJ8RERNZsEREAREQBERAEREArUprVpsjgFWGCDPz/AIzw
tuGXekZam26Nj+U/Qpk4jYU+IWjUH2J3VscjKa1PPHtJTsfm0TRe2dWxuWo1lwwOx7jvM885q2jL
RERIIsdrWk1a6pU0GWZwAO82cXqPccaqhwAQ4TA9Npz4PTNTilDDBdJ1lj0A3nXhiPdcepkNltZc
s3XG8rb1b7C2KvFLmzS9FLr6SU6FNWdKZVSrHfCjf+k1WFNrivc3AVwLiuKI0tyGcn+QmKxqMbm/
v6hfNNGIdfxHYT0KQFhwdazppqLSLg6tyz7Aj5CVzvsi2Cvq+1/nzPL+kF8b3itTBzTpfZpg7YE8
4VCKLU8bEg5lCSSSZEujHKkjNJuUnJm20BRihIORnY5mueZbNprr74npz3cBPNStyOJbiTtjlvIi
bCBO9of8ZSP8QnCdrT/NUj/EJzP3Wd0vfXeVuP8AMVP9RkUnNOqjjBIOd5Nx/mKn+ozmDhge05pq
9NLsOqjtVb7fU0Xqql0wXO+Cc95nmq+wXp1PvOuph2mWRQd6ce4nEK1WVuZosnxX0Hk40kd5xqp4
dRl7HEqDgg9pqvBr8OsOTjf3h9Wrfn6ErrUWv6v5P8RliIlpQWR2puHXmDkTvcIKiC4TkThveZp3
t6qjNKp+7fnK6ia663XkXUpJ3py2fyZwiXrUmo1SjdJSdppq6KpRcXZiIiSQAcHOM+hiIgCSBk7k
CREAk4wMZ9ZERAEREECIiAIiIAmO9fknzmsnAJM8uo5qVCx6zDj6uWnlXE6RWRJPKRPGOhJiMwBI
kyIIQiJIgkj5REQEiYxESCBEZiAJEmBsYFyJMtV0+ISunB3wvIekpJJsDERAJkRmIIsTEiTAHPlP
0PgtD6vwi3TOcrq5d58Lw22N5f0aIBILb47T9JVQqhRyAxNeFjvI5lyJiIm05EREAREQBERAEREA
REQBM11dCgulcFzyHb1i6uxQXSuDUPIdvWeaSQSzElz+v1/vyx4jEZerHfyMWJxOXqQ38iSxBLMS
XPf9f+vfkRM+ZuUqiljk8p39T8h+v1/ITFFX1Zgir6s22ikUyxGM8ponOgNNFRnPXlOk9amrRSPY
pq0EhEROywREQBERAEREAREQBERAPL4zwenxOhkYWuo8rf2M+DuLepbVmpVUKuvMGfqE8rjfCKfE
bZnVcV0HlI6+kzVqObrLc6jKx8BE6VaNShUKVEZGHMETnMB2elwhaQa6q1WKinRYr6k7SeEGnSW8
rVFJ0USFI6E7f3kWlQUuCXpNMFqjKgbt1/tL0VqUfo7cVQyhK1VUI6nG8ret+8vjw+JeyoluFLTF
XS91cBNJ5ED/ANy/Hbl0b6iroaSkNhd8bYG/t/WehYL4VeyFVqb0rW3auy+/9+U+ZuKvj3FSrpC6
mJAHISuKcql+Xr9iZvLC3FnKIiaDOSDgg9p6qHUgPcTyZ6Nq2qgB22noez52m48zmR3iInrnInW2
/wAzT/1Ccp0t/wDM0/8AUJxU9x9xZS/yR70Lj/MVP9RnOdbn/M1P9RnKKXuLuJq/5Jd7Nd3ipRo1
RtldOn2mSa6mKlhTbkaZ047zJOaPutcm/M7xOs0+aXkJqT7SwqA/9Mgg/wBplmmycCqUbk4KxWXV
zLhqMO+vlfHQzRLOpR2U8wcSBp2ByO5lqd9UUNNOxESxXChs7E4lYINY/wARahR+8p7/ACmSXpVD
TqK46GdbpBrFVP3b7iVR6ksvB7fQ0S/chn4rf0ZniIlpnEREEiIiCBERBIiIgCIiAIiIBnu6mmnp
HMzzwJ2uX11j2G05TwcXV6Sq+SOlsJEmRMwQkyJMAjnERBOwlijKASMA7j1k0mCVVcjIB5SGOok9
IuLlZMSIIESeUiAIiTAuRJiBAIiTEXJuRERBNxERBFxETta273VzTo092Y4kom59J9ErP97eN/oU
T6qZ7G0Sys6dBPujc9zNE9OlDJFIpbuIiJYBERAEREAREQBERAE4XNwtCkTkajyk17gUhgbt2nkV
Kj1Khdzlug7fr9bzJiMRkWWO5jxOJ6NZY7kajqLMSXO5J/X695ZF1bnlFOmWPp1P6/X9++NPy5D+
/wCv+J58YN6s82EG9WAMcxjsP1+v5CXpoXqAevb9frcyFUs36/X6yZqoLhsKeXXvNVOGZmunDM0a
eURE9E9IREQSIiIAiIgCIiAIiIAiIgCIiAeXxjg9PidHIwtdR5W7+hnwlxQqW1ZqVVSrqcEGfp88
/ifCLfiVM6101QPK45iZ61DPqtzqMrHx1YVaPALZDtTq1WYeuNpdqYaz4ba0wxqVGLkHkcnH9p34
3w+vaGxstRqAJgY5aiek1eDVP0hpUXTxvqtEYVOmF/3nkyeVXfazWld27kceKVRTt7tgVSpUqiiF
UfdUf+p89NvE6qvc+Gh8lMadjtnr/PMxSaXuXZXVleQiIlpxcsmkHLgkdMGbbNfL5dRzzyNsiYJ3
tamiup5jtL8PPJVTIex6MSSRjlvIn0BWJ0t/8xT/ANQnOdLf/MU/9QnFX3JdzLaP+SPeibr/ADVX
/UZyna72u6v+ozjJh7qIq+/LvNSYqcPdeRptqz39Jlmu1w9CtSO2Rq1e0yTinpKS7fRFlbWEH2eT
YkqxVwwOCDnaREtKLmm9UF1qqPK4zt0maax9rYNnnSOQfTtMkqo6Ry8tPz4F2I1ln/tr9fmIiJaU
CabZg6vQb7/w+8zQDggzmccysd055JXJdSjlW5g4kTXVxc25rAYZMAjuO8ySISzLXcmrDLLTZ7CI
idlYiIgCIiAIiIAiIgCc6z6KRPXpOkw3tTLBB03MoxNTo6bfE6SuZs7xIifPnVhERAYiMRAERGN4
BMSIggREQSIiBBNxEmRBAiIMDcSYiA2RESYFxiIzEggifWfRXhhUG9qLz2p/3M8ThHDX4jeKmGFI
buw6T9Bp01pU1RAAqjAAmvDU7vMyJPgWiIm44EREAREQBERAEREATPcXApjSu7GRc3IpjSu7TzXq
FicHJPM/r9fOZK+IUOrHcx4jEqHVjuTUqkkgHJPM/r9fORTp6j6dT+v1/eETJ/X6/X56APury/X6
/W2GKcndnnxi5vNIAfdXl+v1+trhMkAc+/6/XUyyJtgcupxz/X/JlwByUbfr9ZmlQNUYcwq7aV/9
/wDE7UNwSBt+Lv8A8SgAxyyDyH4v+P176F3Ub59Zppx1/Pz88dVKOv5+fnjMREvNAiIgCIiAIiIA
iIgCIiAIiIAiIgCBziWpjNRds7zicssWyYq7SKXdrb3jinWp6kBG3aeDWsanCjxTiOWbUMUiD3P9
p9IpzVZxgYyZzqKHpeG4DK3MHlPNrU4znGjxsvlq/Q1RnlTn3n5WTqYk8zvLUioqYbGDtluQ9Z9R
xf6MFmavY4350v8AafLVKb0nKVFKsNiCInTcHZlCaJKEKGyCCcc5SInFibEwNiJEQQesjakU9xLT
PaNmjjHIzRPo6Us8FI5aE6W/+Yp/6hOc7WiNUukCjODk+wk1fcl3Msor9yPeib3a9rD+IzhO1261
Lyq6nKliROR0nOMjsJ0tkRP3mabEg1XpkfvF057TMRhiOxmi0Ph3Ib4h8P5zjXQU6zoDkA4z3lcd
Kr7l6lktaMexv0KRES0oNVkwLPSY7OvXkDMzKVYqdiJNNjTqK42KnM73iAVg6/C41CVe7V715F/v
Uf8Ai/k/v5maIiWlAiIgHShVNKoGxkciDyMtc0RSq+U5VhkEzlny4wPed0qq9BqVU4xurczntKpJ
xlnXxLoNSi4P4fnaZ4iJaUiIiCBERBIiIggREQCrNpUt2E8xialXJ6ma7yphAgO5mITyPaFW88i4
Ha5nVlpU6jKwZgG5g42nNiCukKBg5z1kRPOFyJMSJI3ERGYJJiRJzIIsOkiIkkkxIk9IIESIixNi
ZERAsIiIAzBkyIHEmQYjEDvJmiys61/crRojLHmewnO3oVLmstKipZ22An3fB+D0+GUcnDV2Hmb+
wltKk5vsOW7Gnh1gnD7NKCbkbs2OZmuInpJJKyOBERJAiIgCIiAIiIAma5uRSGld2MRM+Jm4Q0M2
KqOENDzCWqvgHOeZkhAzYUbfr9frdE82KvZvieXGN7N8Tsq/dX5n9fr58uyJ0HLqcc/1/wAmImqn
FM1UopnT4vKvLlt+v5ywAxyyDyH4v+P17ol0dS+Ouo+M8/LnBbv6TQAAMDlES2lqrl1LVXJiIlpc
IiIAiIgCIiAIiIAiIgCIiAIiIAnSiDqJHQZiJVW9y3d5llL30TTwVbPMzmTk5iJkw6zYmrJ8LI6q
P9uKInn8S4PbcRQ61C1AMK45iIm9xUlZlJ8bxHg11w9mLoWpA7VBy/4nm4iJ5teChKyO02MRESm5
NzXZN5mXuJtiJ7mBd6KOXuJr4btd/wDg39Iiaav+OXcy3D/5Y96Mp5n3kRE6WxVLc6UanhVUYjKh
gSO8vdaRXfSQ2rfV/aIkZetmOukeTJ23OERE6OBNf76w/ipH+RiJTW0SfavoX4fVyjzT+WvoZIiJ
cUCIiAIiIAiIgCIiBwEREAREQEIiIB59Wqj1A2jUQep2InFXKMWUDfuIifNTk5SbZY9HYrEROWHo
TIiJBFxERAuIiIuLiIiLi5MREAjEREXFycREQLiOsRAuIiIII+U0WdnWvrgUaC5Y8+wiJ3TWaSTD
Z9xwfg1PhlHJw1dvif8AsJ6kRPUjFRVkcCIidAREQBERAP/Z
------=_NextPart_000_001C_01BF7B2A.9AA1C880--
7
11
At 02:10 PM 02/22/2000 -0600, Dustin James Mitchell wrote:
>On Tue, 22 Feb 2000, Martijn Faassen wrote:
>
>> 'for' loops presented more problems, though! I had quite a bit of
difficulty
>> to explain that the for block gets executed for each element in the
sequence,
>> and that the variable (for variable in foolist) refers to something else
>> each time in the execution. I need to think on a better way to express
>> things apparently-tricky thing.
>
>I had the same troubles. Anybody got any brainstorms on this one?
Maybe show 'em something like:
>>> for i in ['I','am','learning','Python']: print i
I
am
learning
Python
>And that's a math issue, not a programming issue. It's always nice to
>cross people over that gap, because math like that (0 times anything is 0)
>is something everyone is familiar with, and thus grounds the learning in
>something familiar.
Yes, I'm thinking math and computer language can help bootstrap
one another. CP4E = computer literacy + numeracy.
Kirby
PS: Dumb typos in previous post of mine, in the URLs I gave
for my on-line Python-learning essay:
http://www.inetarena.com/~pdx4d/ocn/numeracy0.html
http://www.inetarena.com/~pdx4d/ocn/numeracy1.html
http://www.inetarena.com/~pdx4d/ocn/numeracy2.html
is what I _should_ have written.
1
0
> http://www.inetarena.com/~pdx4d/ocn/oop.html is a seven chapter
> web publication which details my progress from Xbase, to Java,
> to Python.
I will definitely check it out.
> My approach is not to build applications, but simply to use IDLE
> as is, and Povray as is, with a few simple modules. The idea
> is to have students understand all the guts -- nothing is hidden
> "under the hood". Nothing up the sleaves...
>
> This isn't to say I'm not interested in alternative approaches.
> Just wanted to explain my technique.
To "sell" what I have attempted:
I have tried to layer the complexity in modules.
There is a top level module - PyElements - which contains most of the
simpler analytics on which the app runs. The simplicity of Python syntax
allows the module, I hope, to be transparent, and would allow the student to
follow the connection between graphical output and the analytics running it.
The matrix math is a level below the simpler analytics . It is in fact a
port to Python of the vecmath Java module that is distributed with Java3d.
As such the extensive Java documentation basically works for it, and it
should be accessible to the students looking into the analytics a bit
deeper.
Most of the GUI stuff which would be of programming interest only is
isolated in separate modules.
> Edu-sig seems moribund. I sent this last reply to the list as
> well (twice, as I didn't see it echo back the first time).
> The archives doesn't have any more messages in it since yours.
> I wrote to Guido about it, making enquiries.
This does seem like a private conversation.
Too bad. I think we are into some interesting and potentially significant
stuff.
How might we collaborate to generate some excitement??
> Thanks again for the screen shots and the .py modules.
> Gives me a much better sense of your project. I think
> you're rather too modest saying you're not a Python
> guru. Clearly you've done a lot with it.
Thanks for your interest and encouragement
1
0