Topic: [D0428R0] Familiar template syntax for generic lambdas


Author: Louis Dionne <ldionne.2@gmail.com>
Date: Wed, 7 Sep 2016 18:16:25 -0700 (PDT)
Raw View
------=_Part_1382_716963585.1473297385922
Content-Type: multipart/alternative;
 boundary="----=_Part_1383_1930012563.1473297385922"

------=_Part_1383_1930012563.1473297385922
Content-Type: text/plain; charset=UTF-8

Hi,

I wrote a paper to allow using the familiar template syntax to define
generic
lambdas:

  []<typename T>(T const& t) { }
  // equivalent to
  [](auto const& t) { }

One of the motivations behind this is that it's often useful to be able to
name the type of a parameter (or a type derived from it) without having to
use `decltype(param)`. Other motivations are explained in more details in
the paper.

I'd like to gather some feedback, so please provide anything you've got.

Regards,
Louis


--
You received this message because you are subscribed to the Google Groups "ISO C++ Standard - Future Proposals" group.
To unsubscribe from this group and stop receiving emails from it, send an email to std-proposals+unsubscribe@isocpp.org.
To post to this group, send email to std-proposals@isocpp.org.
To view this discussion on the web visit https://groups.google.com/a/isocpp.org/d/msgid/std-proposals/c55bea94-bf90-4321-82a5-6139ad790331%40isocpp.org.

------=_Part_1383_1930012563.1473297385922
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr"><div>Hi,</div><div><br></div><div>I wrote a paper to allow=
 using the familiar template syntax to define generic</div><div>lambdas:</d=
iv><div><br></div><div>=C2=A0 []&lt;typename T&gt;(T const&amp; t) { }</div=
><div>=C2=A0 // equivalent to</div><div>=C2=A0 [](auto const&amp; t) { }</d=
iv><div><br></div><div>One of the motivations behind this is that it&#39;s =
often useful to be able to</div><div>name the type of a parameter (or a typ=
e derived from it) without having to</div><div>use `decltype(param)`. Other=
 motivations are explained in more details in</div><div>the paper.</div><di=
v><br></div><div>I&#39;d like to gather some feedback, so please provide an=
ything you&#39;ve got.</div><div><br></div><div>Regards,</div><div>Louis</d=
iv><div><br></div><div><br></div></div>

<p></p>

-- <br />
You received this message because you are subscribed to the Google Groups &=
quot;ISO C++ Standard - Future Proposals&quot; group.<br />
To unsubscribe from this group and stop receiving emails from it, send an e=
mail to <a href=3D"mailto:std-proposals+unsubscribe@isocpp.org">std-proposa=
ls+unsubscribe@isocpp.org</a>.<br />
To post to this group, send email to <a href=3D"mailto:std-proposals@isocpp=
..org">std-proposals@isocpp.org</a>.<br />
To view this discussion on the web visit <a href=3D"https://groups.google.c=
om/a/isocpp.org/d/msgid/std-proposals/c55bea94-bf90-4321-82a5-6139ad790331%=
40isocpp.org?utm_medium=3Demail&utm_source=3Dfooter">https://groups.google.=
com/a/isocpp.org/d/msgid/std-proposals/c55bea94-bf90-4321-82a5-6139ad790331=
%40isocpp.org</a>.<br />

------=_Part_1383_1930012563.1473297385922--

------=_Part_1382_716963585.1473297385922
Content-Type: application/pdf; name=D0428R0.pdf
Content-Transfer-Encoding: base64
Content-Disposition: attachment; filename=D0428R0.pdf
X-Attachment-Id: 4856516f-50a6-4b8c-9cec-5685d84c35a8
Content-ID: <4856516f-50a6-4b8c-9cec-5685d84c35a8>
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------=_Part_1382_716963585.1473297385922--

.


Author: Tom Honermann <tom@honermann.net>
Date: Wed, 7 Sep 2016 22:41:34 -0400
Raw View
On 9/7/2016 9:16 PM, Louis Dionne wrote:
> Hi,
>
> I wrote a paper to allow using the familiar template syntax to define
> generic
> lambdas:
>
>   []<typename T>(T const& t) { }
>   // equivalent to
>   [](auto const& t) { }
>
> One of the motivations behind this is that it's often useful to be able to
> name the type of a parameter (or a type derived from it) without having to
> use `decltype(param)`. Other motivations are explained in more details in
> the paper.
>
> I'd like to gather some feedback, so please provide anything you've got.

I think this looks good.  Regarding section 5, Discussion, the Concepts
TS already specifies rules for mixed explicit and invented template
parameters as part of its support for the abbreviated function syntax.
See N4553 [1] [dcl.fct] 8.3.5 p19:

"A function template can be an abbreviated function template. The
invented template-parameters are appended to the template-parameter-list
after the explicitly declared template-parameters."

Tom.

[1]: http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2015/n4553.pdf

--
You received this message because you are subscribed to the Google Groups "ISO C++ Standard - Future Proposals" group.
To unsubscribe from this group and stop receiving emails from it, send an email to std-proposals+unsubscribe@isocpp.org.
To post to this group, send email to std-proposals@isocpp.org.
To view this discussion on the web visit https://groups.google.com/a/isocpp.org/d/msgid/std-proposals/7f9dba25-300f-687b-edac-fb27e56aa4ec%40honermann.net.

.


Author: chris.n.devisser@gmail.com
Date: Wed, 7 Sep 2016 21:48:57 -0700 (PDT)
Raw View
------=_Part_1105_1397826471.1473310137270
Content-Type: multipart/alternative;
 boundary="----=_Part_1106_305341610.1473310137271"

------=_Part_1106_305341610.1473310137271
Content-Type: text/plain; charset=UTF-8

This has been looked at in a broader context than just lambdas. I queried
Reddit
<https://www.reddit.com/r/cpp/comments/3vden2/naming_deduced_types_proposal_idea_discussion/>
about this a while ago (and admittedly haven't had the time to get back to
it). The basic idea was that auto{T} t would introduce T as the equivalent
type had there been a template (i.e., template<typename T> void foo(T
const& t); and void foo(auto{T} const& t); would be equivalent). This could
be extended to lambdas very easily, as well as to Concepts and other uses
of auto.

After that, I found out that there was already a Concepts-related proposal
<http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2014/n3878.pdf> on the
matter with a very similar idea. Of course given the Concepts changes since
then, this would presumably use auto[T] t now. Structured bindings would
also need to be taken into account.

This train hasn't moved in a while, but feel free to use my part of this
for inspiration. I must admit I do quite like the terseness and consistency
with Concepts, which already use this syntax to introduce a type.
Regardless, if adding an explicit type in deduced contexts is adopted, I
would like to see it cover cases such as declaring a local variable, and I
would like to make sure that Concepts can be used with consistent syntax,
when that time comes.

On Wednesday, September 7, 2016 at 9:16:26 PM UTC-4, Louis Dionne wrote:
>
> Hi,
>
> I wrote a paper to allow using the familiar template syntax to define
> generic
> lambdas:
>
>   []<typename T>(T const& t) { }
>   // equivalent to
>   [](auto const& t) { }
>
> One of the motivations behind this is that it's often useful to be able to
> name the type of a parameter (or a type derived from it) without having to
> use `decltype(param)`. Other motivations are explained in more details in
> the paper.
>
> I'd like to gather some feedback, so please provide anything you've got.
>
> Regards,
> Louis
>
>
>

--
You received this message because you are subscribed to the Google Groups "ISO C++ Standard - Future Proposals" group.
To unsubscribe from this group and stop receiving emails from it, send an email to std-proposals+unsubscribe@isocpp.org.
To post to this group, send email to std-proposals@isocpp.org.
To view this discussion on the web visit https://groups.google.com/a/isocpp.org/d/msgid/std-proposals/9d46e651-df80-4e00-b54c-ad41046181e5%40isocpp.org.

------=_Part_1106_305341610.1473310137271
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">This has been looked at in a broader context than just lam=
bdas. I <a href=3D"https://www.reddit.com/r/cpp/comments/3vden2/naming_dedu=
ced_types_proposal_idea_discussion/">queried Reddit</a> about this a while =
ago (and admittedly haven&#39;t had the time to get back to it). The basic =
idea was that <font face=3D"courier new, monospace">auto{T} t</font>=C2=A0w=
ould introduce T as the equivalent type had there been a template (i.e., <f=
ont face=3D"courier new, monospace">template&lt;typename T&gt; void foo(T c=
onst&amp; t);</font> and <font face=3D"courier new, monospace">void foo(aut=
o{T} const&amp; t);</font> would be equivalent). This could be extended to =
lambdas very easily, as well as to Concepts and other uses of auto.<div><br=
></div><div>After that, I found out that there was already a <a href=3D"htt=
p://www.open-std.org/jtc1/sc22/wg21/docs/papers/2014/n3878.pdf">Concepts-re=
lated proposal</a> on the matter with a very similar idea. Of course given =
the Concepts changes since then, this would presumably use <font face=3D"co=
urier new, monospace">auto[T] t</font> now. Structured bindings would also =
need to be taken into account.=C2=A0</div><div><br></div><div>This train ha=
sn&#39;t moved in a while, but feel free to use my part of this for inspira=
tion. I must admit I do quite like the terseness and consistency with Conce=
pts, which already use this syntax to introduce a type. Regardless, if addi=
ng an explicit type in deduced contexts is adopted, I would like to see it =
cover cases such as declaring a local variable, and I would like to make su=
re that Concepts can be used with consistent syntax, when that time comes.<=
/div><div><br>On Wednesday, September 7, 2016 at 9:16:26 PM UTC-4, Louis Di=
onne wrote:<blockquote class=3D"gmail_quote" style=3D"margin: 0;margin-left=
: 0.8ex;border-left: 1px #ccc solid;padding-left: 1ex;"><div dir=3D"ltr"><d=
iv>Hi,</div><div><br></div><div>I wrote a paper to allow using the familiar=
 template syntax to define generic</div><div>lambdas:</div><div><br></div><=
div>=C2=A0 []&lt;typename T&gt;(T const&amp; t) { }</div><div>=C2=A0 // equ=
ivalent to</div><div>=C2=A0 [](auto const&amp; t) { }</div><div><br></div><=
div>One of the motivations behind this is that it&#39;s often useful to be =
able to</div><div>name the type of a parameter (or a type derived from it) =
without having to</div><div>use `decltype(param)`. Other motivations are ex=
plained in more details in</div><div>the paper.</div><div><br></div><div>I&=
#39;d like to gather some feedback, so please provide anything you&#39;ve g=
ot.</div><div><br></div><div>Regards,</div><div>Louis</div><div><br></div><=
div><br></div></div></blockquote></div></div>

<p></p>

-- <br />
You received this message because you are subscribed to the Google Groups &=
quot;ISO C++ Standard - Future Proposals&quot; group.<br />
To unsubscribe from this group and stop receiving emails from it, send an e=
mail to <a href=3D"mailto:std-proposals+unsubscribe@isocpp.org">std-proposa=
ls+unsubscribe@isocpp.org</a>.<br />
To post to this group, send email to <a href=3D"mailto:std-proposals@isocpp=
..org">std-proposals@isocpp.org</a>.<br />
To view this discussion on the web visit <a href=3D"https://groups.google.c=
om/a/isocpp.org/d/msgid/std-proposals/9d46e651-df80-4e00-b54c-ad41046181e5%=
40isocpp.org?utm_medium=3Demail&utm_source=3Dfooter">https://groups.google.=
com/a/isocpp.org/d/msgid/std-proposals/9d46e651-df80-4e00-b54c-ad41046181e5=
%40isocpp.org</a>.<br />

------=_Part_1106_305341610.1473310137271--

------=_Part_1105_1397826471.1473310137270--

.


Author: Nicol Bolas <jmckesson@gmail.com>
Date: Thu, 8 Sep 2016 06:39:29 -0700 (PDT)
Raw View
------=_Part_919_65518177.1473341969696
Content-Type: multipart/alternative;
 boundary="----=_Part_920_811545188.1473341969696"

------=_Part_920_811545188.1473341969696
Content-Type: text/plain; charset=UTF-8

On Wednesday, September 7, 2016 at 9:16:26 PM UTC-4, Louis Dionne wrote:
>
> Hi,
>
> I wrote a paper to allow using the familiar template syntax to define
> generic
> lambdas:
>
>   []<typename T>(T const& t) { }
>   // equivalent to
>   [](auto const& t) { }
>
> One of the motivations behind this is that it's often useful to be able to
> name the type of a parameter (or a type derived from it) without having to
> use `decltype(param)`. Other motivations are explained in more details in
> the paper.
>
> I'd like to gather some feedback, so please provide anything you've got.
>

In your motivation section, you say you have to do this:

using T = std::remove_cv_t<std::remove_reference_t<decltype(x)>>;

The more general way is with:

using T = std::decay_t<decltype(x)>;

While this will also decay arrays and turn functions into function
pointers, that is irrelevant for most such use cases (since you can't pass
an array or a function. Well, not like this at any rate).

Further, I dispute that this:

auto f = [](auto&& ...args) {
  return foo(std::forward<decltype(args)>(args)...);
};

Is more verbose than this:

auto f = []<typename ...T>(T&& ...args) {
  return foo(std::forward<T>(args)...);
};

From what I can tell, you save... one keystroke. And it's not like you can
forward parameters* twice*.

Overall, I'd say that your best motivation is #3, so you should lead with
that.

--
You received this message because you are subscribed to the Google Groups "ISO C++ Standard - Future Proposals" group.
To unsubscribe from this group and stop receiving emails from it, send an email to std-proposals+unsubscribe@isocpp.org.
To post to this group, send email to std-proposals@isocpp.org.
To view this discussion on the web visit https://groups.google.com/a/isocpp.org/d/msgid/std-proposals/d09ee300-aef0-4f1a-9fb5-12bf5b316322%40isocpp.org.

------=_Part_920_811545188.1473341969696
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">On Wednesday, September 7, 2016 at 9:16:26 PM UTC-4, Louis=
 Dionne wrote:<blockquote class=3D"gmail_quote" style=3D"margin: 0;margin-l=
eft: 0.8ex;border-left: 1px #ccc solid;padding-left: 1ex;"><div dir=3D"ltr"=
><div>Hi,</div><div><br></div><div>I wrote a paper to allow using the famil=
iar template syntax to define generic</div><div>lambdas:</div><div><br></di=
v><div>=C2=A0 []&lt;typename T&gt;(T const&amp; t) { }</div><div>=C2=A0 // =
equivalent to</div><div>=C2=A0 [](auto const&amp; t) { }</div><div><br></di=
v><div>One of the motivations behind this is that it&#39;s often useful to =
be able to</div><div>name the type of a parameter (or a type derived from i=
t) without having to</div><div>use `decltype(param)`. Other motivations are=
 explained in more details in</div><div>the paper.</div><div><br></div><div=
>I&#39;d like to gather some feedback, so please provide anything you&#39;v=
e got.</div></div></blockquote><div><br>In your motivation section, you say=
 you have to do this:<br><br><div class=3D"prettyprint" style=3D"background=
-color: rgb(250, 250, 250); border-color: rgb(187, 187, 187); border-style:=
 solid; border-width: 1px; word-wrap: break-word;"><code class=3D"prettypri=
nt"><div class=3D"subprettyprint"><span style=3D"color: #008;" class=3D"sty=
led-by-prettify">using</span><span style=3D"color: #000;" class=3D"styled-b=
y-prettify"> T </span><span style=3D"color: #660;" class=3D"styled-by-prett=
ify">=3D</span><span style=3D"color: #000;" class=3D"styled-by-prettify"> s=
td</span><span style=3D"color: #660;" class=3D"styled-by-prettify">::</span=
><span style=3D"color: #000;" class=3D"styled-by-prettify">remove_cv_t</spa=
n><span style=3D"color: #660;" class=3D"styled-by-prettify">&lt;</span><spa=
n style=3D"color: #000;" class=3D"styled-by-prettify">std</span><span style=
=3D"color: #660;" class=3D"styled-by-prettify">::</span><span style=3D"colo=
r: #000;" class=3D"styled-by-prettify">remove_reference_t</span><span style=
=3D"color: #660;" class=3D"styled-by-prettify">&lt;</span><span style=3D"co=
lor: #008;" class=3D"styled-by-prettify">decltype</span><span style=3D"colo=
r: #660;" class=3D"styled-by-prettify">(</span><span style=3D"color: #000;"=
 class=3D"styled-by-prettify">x</span><span style=3D"color: #660;" class=3D=
"styled-by-prettify">)&gt;&gt;;</span></div></code></div><br>The more gener=
al way is with:<br><br><div class=3D"prettyprint" style=3D"background-color=
: rgb(250, 250, 250); border-color: rgb(187, 187, 187); border-style: solid=
; border-width: 1px; word-wrap: break-word;"><code class=3D"prettyprint"><d=
iv class=3D"subprettyprint"><span style=3D"color: #008;" class=3D"styled-by=
-prettify">using</span><span style=3D"color: #000;" class=3D"styled-by-pret=
tify"> T </span><span style=3D"color: #660;" class=3D"styled-by-prettify">=
=3D</span><span style=3D"color: #000;" class=3D"styled-by-prettify"> std</s=
pan><span style=3D"color: #660;" class=3D"styled-by-prettify">::</span><spa=
n style=3D"color: #000;" class=3D"styled-by-prettify">decay_t</span><span s=
tyle=3D"color: #660;" class=3D"styled-by-prettify">&lt;</span><span style=
=3D"color: #008;" class=3D"styled-by-prettify">decltype</span><span style=
=3D"color: #660;" class=3D"styled-by-prettify">(</span><span style=3D"color=
: #000;" class=3D"styled-by-prettify">x</span><span style=3D"color: #660;" =
class=3D"styled-by-prettify">)&gt;;</span><span style=3D"color: #000;" clas=
s=3D"styled-by-prettify"><br></span></div></code></div><br>While this will =
also decay arrays and turn functions into function pointers, that is irrele=
vant for most such use cases (since you can&#39;t pass an array or a functi=
on. Well, not like this at any rate).<br><br>Further, I dispute that this:<=
br><br><div class=3D"prettyprint" style=3D"background-color: rgb(250, 250, =
250); border-color: rgb(187, 187, 187); border-style: solid; border-width: =
1px; word-wrap: break-word;"><code class=3D"prettyprint"><div class=3D"subp=
rettyprint"><span style=3D"color: #008;" class=3D"styled-by-prettify">auto<=
/span><span style=3D"color: #000;" class=3D"styled-by-prettify"> f </span><=
span style=3D"color: #660;" class=3D"styled-by-prettify">=3D</span><span st=
yle=3D"color: #000;" class=3D"styled-by-prettify"> </span><span style=3D"co=
lor: #660;" class=3D"styled-by-prettify">[](</span><span style=3D"color: #0=
08;" class=3D"styled-by-prettify">auto</span><span style=3D"color: #660;" c=
lass=3D"styled-by-prettify">&amp;&amp;</span><span style=3D"color: #000;" c=
lass=3D"styled-by-prettify"> </span><span style=3D"color: #660;" class=3D"s=
tyled-by-prettify">...</span><span style=3D"color: #000;" class=3D"styled-b=
y-prettify">args</span><span style=3D"color: #660;" class=3D"styled-by-pret=
tify">)</span><span style=3D"color: #000;" class=3D"styled-by-prettify"> </=
span><span style=3D"color: #660;" class=3D"styled-by-prettify">{</span><spa=
n style=3D"color: #000;" class=3D"styled-by-prettify"><br>=C2=A0 </span><sp=
an style=3D"color: #008;" class=3D"styled-by-prettify">return</span><span s=
tyle=3D"color: #000;" class=3D"styled-by-prettify"> foo</span><span style=
=3D"color: #660;" class=3D"styled-by-prettify">(</span><span style=3D"color=
: #000;" class=3D"styled-by-prettify">std</span><span style=3D"color: #660;=
" class=3D"styled-by-prettify">::</span><span style=3D"color: #000;" class=
=3D"styled-by-prettify">forward</span><span style=3D"color: #660;" class=3D=
"styled-by-prettify">&lt;</span><span style=3D"color: #008;" class=3D"style=
d-by-prettify">decltype</span><span style=3D"color: #660;" class=3D"styled-=
by-prettify">(</span><span style=3D"color: #000;" class=3D"styled-by-pretti=
fy">args</span><span style=3D"color: #660;" class=3D"styled-by-prettify">)&=
gt;(</span><span style=3D"color: #000;" class=3D"styled-by-prettify">args</=
span><span style=3D"color: #660;" class=3D"styled-by-prettify">)...);</span=
><span style=3D"color: #000;" class=3D"styled-by-prettify"><br></span><span=
 style=3D"color: #660;" class=3D"styled-by-prettify">};</span></div></code>=
</div><br>Is more verbose than this:<br><br><div class=3D"prettyprint" styl=
e=3D"background-color: rgb(250, 250, 250); border-color: rgb(187, 187, 187)=
; border-style: solid; border-width: 1px; word-wrap: break-word;"><code cla=
ss=3D"prettyprint"><div class=3D"subprettyprint"><span style=3D"color: #008=
;" class=3D"styled-by-prettify">auto</span><span style=3D"color: #000;" cla=
ss=3D"styled-by-prettify"> f </span><span style=3D"color: #660;" class=3D"s=
tyled-by-prettify">=3D</span><span style=3D"color: #000;" class=3D"styled-b=
y-prettify"> </span><span style=3D"color: #660;" class=3D"styled-by-prettif=
y">[]&lt;</span><span style=3D"color: #008;" class=3D"styled-by-prettify">t=
ypename</span><span style=3D"color: #000;" class=3D"styled-by-prettify"> </=
span><span style=3D"color: #660;" class=3D"styled-by-prettify">...</span><s=
pan style=3D"color: #000;" class=3D"styled-by-prettify">T</span><span style=
=3D"color: #660;" class=3D"styled-by-prettify">&gt;(</span><span style=3D"c=
olor: #000;" class=3D"styled-by-prettify">T</span><span style=3D"color: #66=
0;" class=3D"styled-by-prettify">&amp;&amp;</span><span style=3D"color: #00=
0;" class=3D"styled-by-prettify"> </span><span style=3D"color: #660;" class=
=3D"styled-by-prettify">...</span><span style=3D"color: #000;" class=3D"sty=
led-by-prettify">args</span><span style=3D"color: #660;" class=3D"styled-by=
-prettify">)</span><span style=3D"color: #000;" class=3D"styled-by-prettify=
"> </span><span style=3D"color: #660;" class=3D"styled-by-prettify">{</span=
><span style=3D"color: #000;" class=3D"styled-by-prettify"><br>=C2=A0 </spa=
n><span style=3D"color: #008;" class=3D"styled-by-prettify">return</span><s=
pan style=3D"color: #000;" class=3D"styled-by-prettify"> foo</span><span st=
yle=3D"color: #660;" class=3D"styled-by-prettify">(</span><span style=3D"co=
lor: #000;" class=3D"styled-by-prettify">std</span><span style=3D"color: #6=
60;" class=3D"styled-by-prettify">::</span><span style=3D"color: #000;" cla=
ss=3D"styled-by-prettify">forward</span><span style=3D"color: #660;" class=
=3D"styled-by-prettify">&lt;</span><span style=3D"color: #000;" class=3D"st=
yled-by-prettify">T</span><span style=3D"color: #660;" class=3D"styled-by-p=
rettify">&gt;(</span><span style=3D"color: #000;" class=3D"styled-by-pretti=
fy">args</span><span style=3D"color: #660;" class=3D"styled-by-prettify">).=
...);</span><span style=3D"color: #000;" class=3D"styled-by-prettify"><br></=
span><span style=3D"color: #660;" class=3D"styled-by-prettify">};</span></d=
iv></code></div><br>From what I can tell, you save... one keystroke. And it=
&#39;s not like you can forward parameters<i> twice</i>.<br><br>Overall, I&=
#39;d say that your best motivation is #3, so you should lead with that.<br=
></div></div>

<p></p>

-- <br />
You received this message because you are subscribed to the Google Groups &=
quot;ISO C++ Standard - Future Proposals&quot; group.<br />
To unsubscribe from this group and stop receiving emails from it, send an e=
mail to <a href=3D"mailto:std-proposals+unsubscribe@isocpp.org">std-proposa=
ls+unsubscribe@isocpp.org</a>.<br />
To post to this group, send email to <a href=3D"mailto:std-proposals@isocpp=
..org">std-proposals@isocpp.org</a>.<br />
To view this discussion on the web visit <a href=3D"https://groups.google.c=
om/a/isocpp.org/d/msgid/std-proposals/d09ee300-aef0-4f1a-9fb5-12bf5b316322%=
40isocpp.org?utm_medium=3Demail&utm_source=3Dfooter">https://groups.google.=
com/a/isocpp.org/d/msgid/std-proposals/d09ee300-aef0-4f1a-9fb5-12bf5b316322=
%40isocpp.org</a>.<br />

------=_Part_920_811545188.1473341969696--

------=_Part_919_65518177.1473341969696--

.


Author: Louis Dionne <ldionne.2@gmail.com>
Date: Thu, 8 Sep 2016 21:30:13 -0700 (PDT)
Raw View
------=_Part_1310_1512436932.1473395413463
Content-Type: multipart/alternative;
 boundary="----=_Part_1311_1001829672.1473395413463"

------=_Part_1311_1001829672.1473395413463
Content-Type: text/plain; charset=UTF-8



On Wednesday, 7 September 2016 19:41:38 UTC-7, Tom Honermann wrote:
>
> On 9/7/2016 9:16 PM, Louis Dionne wrote:
> > Hi,
> >
> > I wrote a paper to allow using the familiar template syntax to define
> > generic
> > lambdas:
> >
> >   []<typename T>(T const& t) { }
> >   // equivalent to
> >   [](auto const& t) { }
> >
> > One of the motivations behind this is that it's often useful to be able
> to
> > name the type of a parameter (or a type derived from it) without having
> to
> > use `decltype(param)`. Other motivations are explained in more details
> in
> > the paper.
> >
> > I'd like to gather some feedback, so please provide anything you've got.
>
> I think this looks good.  Regarding section 5, Discussion, the Concepts
> TS already specifies rules for mixed explicit and invented template
> parameters as part of its support for the abbreviated function syntax.
> See N4553 [1] [dcl.fct] 8.3.5 p19:
> [...]


Thanks a lot for the heads up; I wasn't aware of this! However, I would
rather
not commit to any way of doing this for now, since we don't know precisely
how it will end up being for Concepts. Also, appending the invented template
parameters at the end of the template-parameter-list does not strike me as
the obviously better solution:

    template <typename Y, typename Z>
    void f(auto x, Y y, Z z);
    f(A{}, B{}, C{});

This deduces to `f<B, C, A>` with the current extension for Concepts, but it
would also make sense to have it deduce to `f<A, B, C>`, since `auto`
appears
before `T` and `U`. IOW, it might also make sense to insert the invented
template parameters in their order of appearance. I'm not sure how much
thought
has been given to this during the design of Concepts, but I think it would
be
wise not to commit to anything specific before we have a clear reason to do
so.

--
You received this message because you are subscribed to the Google Groups "ISO C++ Standard - Future Proposals" group.
To unsubscribe from this group and stop receiving emails from it, send an email to std-proposals+unsubscribe@isocpp.org.
To post to this group, send email to std-proposals@isocpp.org.
To view this discussion on the web visit https://groups.google.com/a/isocpp.org/d/msgid/std-proposals/53e94717-1973-4667-a4cf-bd93047de2f4%40isocpp.org.

------=_Part_1311_1001829672.1473395413463
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr"><br><br>On Wednesday, 7 September 2016 19:41:38 UTC-7, Tom=
 Honermann  wrote:<blockquote class=3D"gmail_quote" style=3D"margin: 0;marg=
in-left: 0.8ex;border-left: 1px #ccc solid;padding-left: 1ex;">On 9/7/2016 =
9:16 PM, Louis Dionne wrote:
<br>&gt; Hi,
<br>&gt;
<br>&gt; I wrote a paper to allow using the familiar template syntax to def=
ine=20
<br>&gt; generic
<br>&gt; lambdas:
<br>&gt;
<br>&gt; =C2=A0 []&lt;typename T&gt;(T const&amp; t) { }
<br>&gt; =C2=A0 // equivalent to
<br>&gt; =C2=A0 [](auto const&amp; t) { }
<br>&gt;
<br>&gt; One of the motivations behind this is that it&#39;s often useful t=
o be able to
<br>&gt; name the type of a parameter (or a type derived from it) without h=
aving to
<br>&gt; use `decltype(param)`. Other motivations are explained in more det=
ails in
<br>&gt; the paper.
<br>&gt;
<br>&gt; I&#39;d like to gather some feedback, so please provide anything y=
ou&#39;ve got.
<br>
<br>I think this looks good. =C2=A0Regarding section 5, Discussion, the Con=
cepts=20
<br>TS already specifies rules for mixed explicit and invented template=20
<br>parameters as part of its support for the abbreviated function syntax. =
=C2=A0
<br>See N4553 [1] [dcl.fct] 8.3.5 p19:
<br>[...]</blockquote><div><br></div><div><div>Thanks a lot for the heads u=
p; I wasn&#39;t aware of this! However, I would rather</div><div>not commit=
 to any way of doing this for now, since we don&#39;t know precisely</div><=
div>how it will end up being for Concepts. Also, appending the invented tem=
plate</div><div>parameters at the end of the template-parameter-list does n=
ot strike me as</div><div>the obviously better solution:</div><div><br></di=
v><div>=C2=A0 =C2=A0 template &lt;typename Y, typename Z&gt;</div><div>=C2=
=A0 =C2=A0 void f(auto x, Y y, Z z);</div><div>=C2=A0 =C2=A0 f(A{}, B{}, C{=
});</div><div><br></div><div>This deduces to `f&lt;B, C, A&gt;` with the cu=
rrent extension for Concepts, but it</div><div>would also make sense to hav=
e it deduce to `f&lt;A, B, C&gt;`, since `auto` appears</div><div>before `T=
` and `U`. IOW, it might also make sense to insert the invented</div><div>t=
emplate parameters in their order of appearance. I&#39;m not sure how much =
thought</div><div>has been given to this during the design of Concepts, but=
 I think it would be</div><div>wise not to commit to anything specific befo=
re we have a clear reason to do so.</div></div><div><br></div></div>

<p></p>

-- <br />
You received this message because you are subscribed to the Google Groups &=
quot;ISO C++ Standard - Future Proposals&quot; group.<br />
To unsubscribe from this group and stop receiving emails from it, send an e=
mail to <a href=3D"mailto:std-proposals+unsubscribe@isocpp.org">std-proposa=
ls+unsubscribe@isocpp.org</a>.<br />
To post to this group, send email to <a href=3D"mailto:std-proposals@isocpp=
..org">std-proposals@isocpp.org</a>.<br />
To view this discussion on the web visit <a href=3D"https://groups.google.c=
om/a/isocpp.org/d/msgid/std-proposals/53e94717-1973-4667-a4cf-bd93047de2f4%=
40isocpp.org?utm_medium=3Demail&utm_source=3Dfooter">https://groups.google.=
com/a/isocpp.org/d/msgid/std-proposals/53e94717-1973-4667-a4cf-bd93047de2f4=
%40isocpp.org</a>.<br />

------=_Part_1311_1001829672.1473395413463--

------=_Part_1310_1512436932.1473395413463--

.


Author: Louis Dionne <ldionne.2@gmail.com>
Date: Thu, 8 Sep 2016 21:31:02 -0700 (PDT)
Raw View
------=_Part_9552_452254018.1473395462954
Content-Type: multipart/alternative;
 boundary="----=_Part_9553_1514135366.1473395462955"

------=_Part_9553_1514135366.1473395462955
Content-Type: text/plain; charset=UTF-8



On Wednesday, 7 September 2016 21:48:57 UTC-7, Chris DeVisser wrote:
>
> This has been looked at in a broader context than just lambdas. I queried
> Reddit
> <https://www.reddit.com/r/cpp/comments/3vden2/naming_deduced_types_proposal_idea_discussion/>
> about this a while ago (and admittedly haven't had the time to get back to
> it). The basic idea was that auto{T} t would introduce T as the
> equivalent type had there been a template (i.e., template<typename T>
> void foo(T const& t); and void foo(auto{T} const& t); would be
> equivalent). This could be extended to lambdas very easily, as well as to
> Concepts and other uses of auto.
>
> After that, I found out that there was already a Concepts-related proposal
> <http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2014/n3878.pdf> on
> the matter with a very similar idea. Of course given the Concepts changes
> since then, this would presumably use auto[T] t now. Structured bindings
> would also need to be taken into account.
>
> This train hasn't moved in a while, but feel free to use my part of this
> for inspiration. I must admit I do quite like the terseness and consistency
> with Concepts, which already use this syntax to introduce a type.
> Regardless, if adding an explicit type in deduced contexts is adopted, I
> would like to see it cover cases such as declaring a local variable, and I
> would like to make sure that Concepts can be used with consistent syntax,
> when that time comes.
>

That's an interesting idea, however I think it does not allow for lambdas
that do not deduce their template parameter, such as

    auto f = []<typename T>() { };
    f.operator()<int>();

I also do not see a straightforward way of doing stuff like this:

    []<typename T, typename = std::enable_if_t<some_trait<T>>>() { };

For this and other nifty tricks, you really need full control on how the
template parameter list is created. Sure, Concepts will remove many use
cases for this, but not all of them. Finally, I do not see an easy way of
deducing non-type template parameters from your proposal, nor to
"deconstruct"
template arguments of other templates:

    auto f = []<typename T, std::size_t N>(std::array<T, N> const& a) { };

All in all, I do like the syntax that you propose and I suspect there might
be something good there. However, I think it is a separate proposal from
what's
being proposed here.

--
You received this message because you are subscribed to the Google Groups "ISO C++ Standard - Future Proposals" group.
To unsubscribe from this group and stop receiving emails from it, send an email to std-proposals+unsubscribe@isocpp.org.
To post to this group, send email to std-proposals@isocpp.org.
To view this discussion on the web visit https://groups.google.com/a/isocpp.org/d/msgid/std-proposals/b5d17724-717d-4131-82c0-8b6312171e17%40isocpp.org.

------=_Part_9553_1514135366.1473395462955
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr"><br><br>On Wednesday, 7 September 2016 21:48:57 UTC-7, Chr=
is DeVisser  wrote:<blockquote class=3D"gmail_quote" style=3D"margin: 0;mar=
gin-left: 0.8ex;border-left: 1px #ccc solid;padding-left: 1ex;"><div dir=3D=
"ltr">This has been looked at in a broader context than just lambdas. I <a =
href=3D"https://www.reddit.com/r/cpp/comments/3vden2/naming_deduced_types_p=
roposal_idea_discussion/" target=3D"_blank" rel=3D"nofollow" onmousedown=3D=
"this.href=3D&#39;https://www.google.com/url?q\x3dhttps%3A%2F%2Fwww.reddit.=
com%2Fr%2Fcpp%2Fcomments%2F3vden2%2Fnaming_deduced_types_proposal_idea_disc=
ussion%2F\x26sa\x3dD\x26sntz\x3d1\x26usg\x3dAFQjCNEzzBxhDrZo_fyiTjAUMtuFqq3=
Tbw&#39;;return true;" onclick=3D"this.href=3D&#39;https://www.google.com/u=
rl?q\x3dhttps%3A%2F%2Fwww.reddit.com%2Fr%2Fcpp%2Fcomments%2F3vden2%2Fnaming=
_deduced_types_proposal_idea_discussion%2F\x26sa\x3dD\x26sntz\x3d1\x26usg\x=
3dAFQjCNEzzBxhDrZo_fyiTjAUMtuFqq3Tbw&#39;;return true;">queried Reddit</a> =
about this a while ago (and admittedly haven&#39;t had the time to get back=
 to it). The basic idea was that <font face=3D"courier new, monospace">auto=
{T} t</font>=C2=A0would introduce T as the equivalent type had there been a=
 template (i.e., <font face=3D"courier new, monospace">template&lt;typename=
 T&gt; void foo(T const&amp; t);</font> and <font face=3D"courier new, mono=
space">void foo(auto{T} const&amp; t);</font> would be equivalent). This co=
uld be extended to lambdas very easily, as well as to Concepts and other us=
es of auto.<div><br></div><div>After that, I found out that there was alrea=
dy a <a href=3D"http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2014/n38=
78.pdf" target=3D"_blank" rel=3D"nofollow" onmousedown=3D"this.href=3D&#39;=
http://www.google.com/url?q\x3dhttp%3A%2F%2Fwww.open-std.org%2Fjtc1%2Fsc22%=
2Fwg21%2Fdocs%2Fpapers%2F2014%2Fn3878.pdf\x26sa\x3dD\x26sntz\x3d1\x26usg\x3=
dAFQjCNG1csC4bj9AtGl483Yy709te4wG4Q&#39;;return true;" onclick=3D"this.href=
=3D&#39;http://www.google.com/url?q\x3dhttp%3A%2F%2Fwww.open-std.org%2Fjtc1=
%2Fsc22%2Fwg21%2Fdocs%2Fpapers%2F2014%2Fn3878.pdf\x26sa\x3dD\x26sntz\x3d1\x=
26usg\x3dAFQjCNG1csC4bj9AtGl483Yy709te4wG4Q&#39;;return true;">Concepts-rel=
ated proposal</a> on the matter with a very similar idea. Of course given t=
he Concepts changes since then, this would presumably use <font face=3D"cou=
rier new, monospace">auto[T] t</font> now. Structured bindings would also n=
eed to be taken into account.=C2=A0</div><div><br></div><div>This train has=
n&#39;t moved in a while, but feel free to use my part of this for inspirat=
ion. I must admit I do quite like the terseness and consistency with Concep=
ts, which already use this syntax to introduce a type. Regardless, if addin=
g an explicit type in deduced contexts is adopted, I would like to see it c=
over cases such as declaring a local variable, and I would like to make sur=
e that Concepts can be used with consistent syntax, when that time comes.</=
div></div></blockquote><div><br></div><div><div>That&#39;s an interesting i=
dea, however I think it does not allow for lambdas</div><div>that do not de=
duce their template parameter, such as</div><div><br></div><div>=C2=A0 =C2=
=A0 auto f =3D []&lt;typename T&gt;() { };</div><div>=C2=A0 =C2=A0 f.operat=
or()&lt;int&gt;();</div><div><br></div><div>I also do not see a straightfor=
ward way of doing stuff like this:</div><div><br></div><div>=C2=A0 =C2=A0 [=
]&lt;typename T, typename =3D std::enable_if_t&lt;some_trait&lt;T&gt;&gt;&g=
t;() { };</div><div><br></div><div>For this and other nifty tricks, you rea=
lly need full control on how the</div><div>template parameter list is creat=
ed. Sure, Concepts will remove many use</div><div>cases for this, but not a=
ll of them. Finally, I do not see an easy way of</div><div>deducing non-typ=
e template parameters from your proposal, nor to &quot;deconstruct&quot;</d=
iv><div>template arguments of other templates:</div><div><br></div><div>=C2=
=A0 =C2=A0 auto f =3D []&lt;typename T, std::size_t N&gt;(std::array&lt;T, =
N&gt; const&amp; a) { };</div><div><br></div><div>All in all, I do like the=
 syntax that you propose and I suspect there might</div><div>be something g=
ood there. However, I think it is a separate proposal from what&#39;s</div>=
<div>being proposed here.</div></div><div><br></div></div>

<p></p>

-- <br />
You received this message because you are subscribed to the Google Groups &=
quot;ISO C++ Standard - Future Proposals&quot; group.<br />
To unsubscribe from this group and stop receiving emails from it, send an e=
mail to <a href=3D"mailto:std-proposals+unsubscribe@isocpp.org">std-proposa=
ls+unsubscribe@isocpp.org</a>.<br />
To post to this group, send email to <a href=3D"mailto:std-proposals@isocpp=
..org">std-proposals@isocpp.org</a>.<br />
To view this discussion on the web visit <a href=3D"https://groups.google.c=
om/a/isocpp.org/d/msgid/std-proposals/b5d17724-717d-4131-82c0-8b6312171e17%=
40isocpp.org?utm_medium=3Demail&utm_source=3Dfooter">https://groups.google.=
com/a/isocpp.org/d/msgid/std-proposals/b5d17724-717d-4131-82c0-8b6312171e17=
%40isocpp.org</a>.<br />

------=_Part_9553_1514135366.1473395462955--

------=_Part_9552_452254018.1473395462954--

.


Author: Louis Dionne <ldionne.2@gmail.com>
Date: Thu, 8 Sep 2016 21:33:32 -0700 (PDT)
Raw View
------=_Part_76_793158908.1473395612625
Content-Type: multipart/alternative;
 boundary="----=_Part_77_1670759766.1473395612625"

------=_Part_77_1670759766.1473395612625
Content-Type: text/plain; charset=UTF-8



On Thursday, 8 September 2016 06:39:30 UTC-7, Nicol Bolas wrote:
>
> On Wednesday, September 7, 2016 at 9:16:26 PM UTC-4, Louis Dionne wrote:
>>
>> Hi,
>>
>> I wrote a paper to allow using the familiar template syntax to define
>> generic
>> lambdas:
>>
>>   []<typename T>(T const& t) { }
>>   // equivalent to
>>   [](auto const& t) { }
>>
>> One of the motivations behind this is that it's often useful to be able to
>> name the type of a parameter (or a type derived from it) without having to
>> use `decltype(param)`. Other motivations are explained in more details in
>> the paper.
>>
>> I'd like to gather some feedback, so please provide anything you've got.
>>
>
> In your motivation section, you say you have to do this:
>
> using T = std::remove_cv_t<std::remove_reference_t<decltype(x)>>;
>
> The more general way is with:
>
> using T = std::decay_t<decltype(x)>;
>
> While this will also decay arrays and turn functions into function
> pointers, that is irrelevant for most such use cases (since you can't pass
> an array or a function. Well, not like this at any rate).
>

You're right, this is now fixed. However, while this is less verbose, my
point
still holds since it is not about the sheer number of characters. It's
mostly
that you need to (1) use a type trait to get what you want and (2) need to
introduce an alias if you don't want to repeat this type trait all over the
place.


>
> Further, I dispute that this:
>
> auto f = [](auto&& ...args) {
>   return foo(std::forward<decltype(args)>(args)...);
> };
>
> Is more verbose than this:
>
> auto f = []<typename ...T>(T&& ...args) {
>   return foo(std::forward<T>(args)...);
> };
>
> From what I can tell, you save... one keystroke. And it's not like you can
> forward parameters* twice*.
>

This argument is not about verbosity, it's about having two separate ways of
perfect forwarding; one for function templates and one for lambdas. My point
is that perfect forwarding and decltype rules are already sufficiently
complex
that it would make it easier to have a single set of rules that we can
always
follow.


>
> Overall, I'd say that your best motivation is #3, so you should lead with
> that.
>

Re-reading the paper, I think you're right that #3 is the strongest. I
revised
the paper to begin with that argument. Thanks a lot for your comments!


--
You received this message because you are subscribed to the Google Groups "ISO C++ Standard - Future Proposals" group.
To unsubscribe from this group and stop receiving emails from it, send an email to std-proposals+unsubscribe@isocpp.org.
To post to this group, send email to std-proposals@isocpp.org.
To view this discussion on the web visit https://groups.google.com/a/isocpp.org/d/msgid/std-proposals/bcfb3abc-e824-478c-821a-5fa3e0060823%40isocpp.org.

------=_Part_77_1670759766.1473395612625
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr"><br><br>On Thursday, 8 September 2016 06:39:30 UTC-7, Nico=
l Bolas  wrote:<blockquote class=3D"gmail_quote" style=3D"margin: 0;margin-=
left: 0.8ex;border-left: 1px #ccc solid;padding-left: 1ex;"><div dir=3D"ltr=
">On Wednesday, September 7, 2016 at 9:16:26 PM UTC-4, Louis Dionne wrote:<=
blockquote class=3D"gmail_quote" style=3D"margin:0;margin-left:0.8ex;border=
-left:1px #ccc solid;padding-left:1ex"><div dir=3D"ltr"><div>Hi,</div><div>=
<br></div><div>I wrote a paper to allow using the familiar template syntax =
to define generic</div><div>lambdas:</div><div><br></div><div>=C2=A0 []&lt;=
typename T&gt;(T const&amp; t) { }</div><div>=C2=A0 // equivalent to</div><=
div>=C2=A0 [](auto const&amp; t) { }</div><div><br></div><div>One of the mo=
tivations behind this is that it&#39;s often useful to be able to</div><div=
>name the type of a parameter (or a type derived from it) without having to=
</div><div>use `decltype(param)`. Other motivations are explained in more d=
etails in</div><div>the paper.</div><div><br></div><div>I&#39;d like to gat=
her some feedback, so please provide anything you&#39;ve got.</div></div></=
blockquote><div><br>In your motivation section, you say you have to do this=
:<br><br><div style=3D"background-color:rgb(250,250,250);border-color:rgb(1=
87,187,187);border-style:solid;border-width:1px;word-wrap:break-word"><code=
><div><span style=3D"color:#008">using</span><span style=3D"color:#000"> T =
</span><span style=3D"color:#660">=3D</span><span style=3D"color:#000"> std=
</span><span style=3D"color:#660">::</span><span style=3D"color:#000">remov=
e_cv_t</span><span style=3D"color:#660">&lt;</span><span style=3D"color:#00=
0">std</span><span style=3D"color:#660">::</span><span style=3D"color:#000"=
>remove_<wbr>reference_t</span><span style=3D"color:#660">&lt;</span><span =
style=3D"color:#008">decltype</span><span style=3D"color:#660">(</span><spa=
n style=3D"color:#000">x</span><span style=3D"color:#660">)&gt;&gt;;</span>=
</div></code></div><br>The more general way is with:<br><br><div style=3D"b=
ackground-color:rgb(250,250,250);border-color:rgb(187,187,187);border-style=
:solid;border-width:1px;word-wrap:break-word"><code><div><span style=3D"col=
or:#008">using</span><span style=3D"color:#000"> T </span><span style=3D"co=
lor:#660">=3D</span><span style=3D"color:#000"> std</span><span style=3D"co=
lor:#660">::</span><span style=3D"color:#000">decay_t</span><span style=3D"=
color:#660">&lt;</span><span style=3D"color:#008">decltype</span><span styl=
e=3D"color:#660">(</span><span style=3D"color:#000">x</span><span style=3D"=
color:#660">)&gt;;</span><span style=3D"color:#000"><br></span></div></code=
></div><br>While this will also decay arrays and turn functions into functi=
on pointers, that is irrelevant for most such use cases (since you can&#39;=
t pass an array or a function. Well, not like this at any rate).<br></div><=
/div></blockquote><div><br></div><div><div>You&#39;re right, this is now fi=
xed. However, while this is less verbose, my point</div><div>still holds si=
nce it is not about the sheer number of characters. It&#39;s mostly</div><d=
iv>that you need to (1) use a type trait to get what you want and (2) need =
to</div><div>introduce an alias if you don&#39;t want to repeat this type t=
rait all over the</div><div>place.</div></div><div>=C2=A0</div><blockquote =
class=3D"gmail_quote" style=3D"margin: 0;margin-left: 0.8ex;border-left: 1p=
x #ccc solid;padding-left: 1ex;"><div dir=3D"ltr"><div><br>Further, I dispu=
te that this:<br><br><div style=3D"background-color:rgb(250,250,250);border=
-color:rgb(187,187,187);border-style:solid;border-width:1px;word-wrap:break=
-word"><code><div><span style=3D"color:#008">auto</span><span style=3D"colo=
r:#000"> f </span><span style=3D"color:#660">=3D</span><span style=3D"color=
:#000"> </span><span style=3D"color:#660">[](</span><span style=3D"color:#0=
08">auto</span><span style=3D"color:#660">&amp;&amp;</span><span style=3D"c=
olor:#000"> </span><span style=3D"color:#660">...</span><span style=3D"colo=
r:#000">args</span><span style=3D"color:#660">)</span><span style=3D"color:=
#000"> </span><span style=3D"color:#660">{</span><span style=3D"color:#000"=
><br>=C2=A0 </span><span style=3D"color:#008">return</span><span style=3D"c=
olor:#000"> foo</span><span style=3D"color:#660">(</span><span style=3D"col=
or:#000">std</span><span style=3D"color:#660">::</span><span style=3D"color=
:#000">forward</span><span style=3D"color:#660">&lt;</span><span style=3D"c=
olor:#008">decltype</span><span style=3D"color:#660">(</span><span style=3D=
"color:#000">args</span><span style=3D"color:#660"><wbr>)&gt;(</span><span =
style=3D"color:#000">args</span><span style=3D"color:#660">)...);</span><sp=
an style=3D"color:#000"><br></span><span style=3D"color:#660">};</span></di=
v></code></div><br>Is more verbose than this:<br><br><div style=3D"backgrou=
nd-color:rgb(250,250,250);border-color:rgb(187,187,187);border-style:solid;=
border-width:1px;word-wrap:break-word"><code><div><span style=3D"color:#008=
">auto</span><span style=3D"color:#000"> f </span><span style=3D"color:#660=
">=3D</span><span style=3D"color:#000"> </span><span style=3D"color:#660">[=
]&lt;</span><span style=3D"color:#008">typename</span><span style=3D"color:=
#000"> </span><span style=3D"color:#660">...</span><span style=3D"color:#00=
0">T</span><span style=3D"color:#660">&gt;(</span><span style=3D"color:#000=
">T</span><span style=3D"color:#660">&amp;&amp;</span><span style=3D"color:=
#000"> </span><span style=3D"color:#660">...</span><span style=3D"color:#00=
0">args</span><span style=3D"color:#660">)</span><span style=3D"color:#000"=
> </span><span style=3D"color:#660">{</span><span style=3D"color:#000"><br>=
=C2=A0 </span><span style=3D"color:#008">return</span><span style=3D"color:=
#000"> foo</span><span style=3D"color:#660">(</span><span style=3D"color:#0=
00">std</span><span style=3D"color:#660">::</span><span style=3D"color:#000=
">forward</span><span style=3D"color:#660">&lt;</span><span style=3D"color:=
#000">T</span><span style=3D"color:#660">&gt;(</span><span style=3D"color:#=
000">args</span><span style=3D"color:#660">)...);</span><span style=3D"colo=
r:#000"><br></span><span style=3D"color:#660">};</span></div></code></div><=
br>From what I can tell, you save... one keystroke. And it&#39;s not like y=
ou can forward parameters<i> twice</i>.<br></div></div></blockquote><div><b=
r></div><div><div>This argument is not about verbosity, it&#39;s about havi=
ng two separate ways of</div><div>perfect forwarding; one for function temp=
lates and one for lambdas. My point</div><div>is that perfect forwarding an=
d decltype rules are already sufficiently complex</div><div>that it would m=
ake it easier to have a single set of rules that we can always</div><div>fo=
llow.</div></div><div>=C2=A0</div><blockquote class=3D"gmail_quote" style=
=3D"margin: 0;margin-left: 0.8ex;border-left: 1px #ccc solid;padding-left: =
1ex;"><div dir=3D"ltr"><div><br>Overall, I&#39;d say that your best motivat=
ion is #3, so you should lead with that.<br></div></div></blockquote><div><=
br></div><div><div>Re-reading the paper, I think you&#39;re right that #3 i=
s the strongest. I revised</div><div>the paper to begin with that argument.=
 Thanks a lot for your comments!</div></div><div>=C2=A0</div></div>

<p></p>

-- <br />
You received this message because you are subscribed to the Google Groups &=
quot;ISO C++ Standard - Future Proposals&quot; group.<br />
To unsubscribe from this group and stop receiving emails from it, send an e=
mail to <a href=3D"mailto:std-proposals+unsubscribe@isocpp.org">std-proposa=
ls+unsubscribe@isocpp.org</a>.<br />
To post to this group, send email to <a href=3D"mailto:std-proposals@isocpp=
..org">std-proposals@isocpp.org</a>.<br />
To view this discussion on the web visit <a href=3D"https://groups.google.c=
om/a/isocpp.org/d/msgid/std-proposals/bcfb3abc-e824-478c-821a-5fa3e0060823%=
40isocpp.org?utm_medium=3Demail&utm_source=3Dfooter">https://groups.google.=
com/a/isocpp.org/d/msgid/std-proposals/bcfb3abc-e824-478c-821a-5fa3e0060823=
%40isocpp.org</a>.<br />

------=_Part_77_1670759766.1473395612625--

------=_Part_76_793158908.1473395612625--

.


Author: Tom Honermann <tom@honermann.net>
Date: Fri, 9 Sep 2016 13:54:14 -0400
Raw View
This is a multi-part message in MIME format.
--------------FD38A55C0090CD2DB79B31CA
Content-Type: text/plain; charset=UTF-8; format=flowed

On 9/9/2016 12:30 AM, Louis Dionne wrote:
>
>
> On Wednesday, 7 September 2016 19:41:38 UTC-7, Tom Honermann wrote:
>
>     I think this looks good.  Regarding section 5, Discussion, the
>     Concepts
>     TS already specifies rules for mixed explicit and invented template
>     parameters as part of its support for the abbreviated function
>     syntax.
>     See N4553 [1] [dcl.fct] 8.3.5 p19:
>     [...]
>
>
> Thanks a lot for the heads up; I wasn't aware of this! However, I
> would rather
> not commit to any way of doing this for now, since we don't know precisely
> how it will end up being for Concepts. Also, appending the invented
> template
> parameters at the end of the template-parameter-list does not strike me as
> the obviously better solution:
>
>     template <typename Y, typename Z>
>     void f(auto x, Y y, Z z);
>     f(A{}, B{}, C{});
>
> This deduces to `f<B, C, A>` with the current extension for Concepts,
> but it
> would also make sense to have it deduce to `f<A, B, C>`, since `auto`
> appears
> before `T` and `U`. IOW, it might also make sense to insert the invented
> template parameters in their order of appearance. I'm not sure how
> much thought
> has been given to this during the design of Concepts, but I think it
> would be
> wise not to commit to anything specific before we have a clear reason
> to do so.

There is no general rule that template parameter order mirror the order
of the function parameters.  There certainly is a tendency for the
orders to be consistent, but there is no requirement.  What would be
your expectations for these declarations?

template<typename Z, typename Y>
void f1(Y y, auto x, Z z);

template<typename T>
void f2(T t1, auto x, T t2);

Tom.

--
You received this message because you are subscribed to the Google Groups "ISO C++ Standard - Future Proposals" group.
To unsubscribe from this group and stop receiving emails from it, send an email to std-proposals+unsubscribe@isocpp.org.
To post to this group, send email to std-proposals@isocpp.org.
To view this discussion on the web visit https://groups.google.com/a/isocpp.org/d/msgid/std-proposals/1ed89593-2b4e-e962-d9d1-92e08e373996%40honermann.net.

--------------FD38A55C0090CD2DB79B31CA
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<html>
  <head>
    <meta content=3D"text/html; charset=3Dutf-8" http-equiv=3D"Content-Type=
">
  </head>
  <body bgcolor=3D"#FFFFFF" text=3D"#000000">
    <div class=3D"moz-cite-prefix">On 9/9/2016 12:30 AM, Louis Dionne
      wrote:<br>
    </div>
    <blockquote
      cite=3D"mid:53e94717-1973-4667-a4cf-bd93047de2f4@isocpp.org"
      type=3D"cite">
      <div dir=3D"ltr"><br>
        <br>
        On Wednesday, 7 September 2016 19:41:38 UTC-7, Tom Honermann
        wrote:
        <blockquote class=3D"gmail_quote" style=3D"margin: 0;margin-left:
          0.8ex;border-left: 1px #ccc solid;padding-left: 1ex;">I think
          this looks good. =C2=A0Regarding section 5, Discussion, the
          Concepts <br>
          TS already specifies rules for mixed explicit and invented
          template <br>
          parameters as part of its support for the abbreviated function
          syntax. =C2=A0
          <br>
          See N4553 [1] [dcl.fct] 8.3.5 p19:
          <br>
          [...]</blockquote>
        <div><br>
        </div>
        <div>
          <div>Thanks a lot for the heads up; I wasn't aware of this!
            However, I would rather</div>
          <div>not commit to any way of doing this for now, since we
            don't know precisely</div>
          <div>how it will end up being for Concepts. Also, appending
            the invented template</div>
          <div>parameters at the end of the template-parameter-list does
            not strike me as</div>
          <div>the obviously better solution:</div>
          <div><br>
          </div>
          <div>=C2=A0 =C2=A0 template &lt;typename Y, typename Z&gt;</div>
          <div>=C2=A0 =C2=A0 void f(auto x, Y y, Z z);</div>
          <div>=C2=A0 =C2=A0 f(A{}, B{}, C{});</div>
          <div><br>
          </div>
          <div>This deduces to `f&lt;B, C, A&gt;` with the current
            extension for Concepts, but it</div>
          <div>would also make sense to have it deduce to `f&lt;A, B,
            C&gt;`, since `auto` appears</div>
          <div>before `T` and `U`. IOW, it might also make sense to
            insert the invented</div>
          <div>template parameters in their order of appearance. I'm not
            sure how much thought</div>
          <div>has been given to this during the design of Concepts, but
            I think it would be</div>
          <div>wise not to commit to anything specific before we have a
            clear reason to do so.</div>
        </div>
      </div>
    </blockquote>
    <br>
    There is no general rule that template parameter order mirror the
    order of the function parameters.=C2=A0 There certainly is a tendency f=
or
    the orders to be consistent, but there is no requirement.=C2=A0 What
    would be your expectations for these declarations?<br>
    <br>
    template&lt;typename Z, typename Y&gt;<br>
    void f1(Y y, auto x, Z z);<br>
    <br>
    template&lt;typename T&gt;<br>
    void f2(T t1, auto x, T t2);<br>
    <br>
    Tom.<br>
  </body>
</html>

<p></p>

-- <br />
You received this message because you are subscribed to the Google Groups &=
quot;ISO C++ Standard - Future Proposals&quot; group.<br />
To unsubscribe from this group and stop receiving emails from it, send an e=
mail to <a href=3D"mailto:std-proposals+unsubscribe@isocpp.org">std-proposa=
ls+unsubscribe@isocpp.org</a>.<br />
To post to this group, send email to <a href=3D"mailto:std-proposals@isocpp=
..org">std-proposals@isocpp.org</a>.<br />
To view this discussion on the web visit <a href=3D"https://groups.google.c=
om/a/isocpp.org/d/msgid/std-proposals/1ed89593-2b4e-e962-d9d1-92e08e373996%=
40honermann.net?utm_medium=3Demail&utm_source=3Dfooter">https://groups.goog=
le.com/a/isocpp.org/d/msgid/std-proposals/1ed89593-2b4e-e962-d9d1-92e08e373=
996%40honermann.net</a>.<br />

--------------FD38A55C0090CD2DB79B31CA--

.


Author: Louis Dionne <ldionne.2@gmail.com>
Date: Sat, 10 Sep 2016 18:53:52 -0700 (PDT)
Raw View
------=_Part_9366_100141845.1473558832811
Content-Type: multipart/alternative;
 boundary="----=_Part_9367_173522252.1473558832811"

------=_Part_9367_173522252.1473558832811
Content-Type: text/plain; charset=UTF-8

On Friday, 9 September 2016 10:54:18 UTC-7, Tom Honermann wrote:
>
> On 9/9/2016 12:30 AM, Louis Dionne wrote:
>
>
>
> On Wednesday, 7 September 2016 19:41:38 UTC-7, Tom Honermann wrote:
>>
>> I think this looks good.  Regarding section 5, Discussion, the Concepts
>> TS already specifies rules for mixed explicit and invented template
>> parameters as part of its support for the abbreviated function syntax.
>> See N4553 [1] [dcl.fct] 8.3.5 p19:
>> [...]
>
>
> Thanks a lot for the heads up; I wasn't aware of this! However, I would
> rather
> not commit to any way of doing this for now, since we don't know precisely
> how it will end up being for Concepts. Also, appending the invented
> template
> parameters at the end of the template-parameter-list does not strike me as
> the obviously better solution:
>
>     template <typename Y, typename Z>
>     void f(auto x, Y y, Z z);
>     f(A{}, B{}, C{});
>
> This deduces to `f<B, C, A>` with the current extension for Concepts, but
> it
> would also make sense to have it deduce to `f<A, B, C>`, since `auto`
> appears
> before `T` and `U`. IOW, it might also make sense to insert the invented
> template parameters in their order of appearance. I'm not sure how much
> thought
> has been given to this during the design of Concepts, but I think it would
> be
> wise not to commit to anything specific before we have a clear reason to
> do so.
>
>
> There is no general rule that template parameter order mirror the order of
> the function parameters.  There certainly is a tendency for the orders to
> be consistent, but there is no requirement.
>

Of course, there's no requirement. My concern is about whether the
"tendency" to have a consistent order
should be followed by whatever rule we settle on.


> What would be your expectations for these declarations?
>

Let's not say "expectation", but I simply recognize that appending the
invented
template parameters to the end of the template-parameter-list is not the
only
way to handle this.


>
> template<typename Z, typename Y>
> void f1(Y y, auto x, Z z);
>

Equivalent to
  template <typename Z, typename Invented, typename Y>
  void f1(Y y, Invented x, Z z);


>
> template<typename T>
> void f2(T t1, auto x, T t2);
>

Equivalent to
  template <typename T, typename Invented>
  void f2(T t1, Invented x, T t2);

That being said, the more I think about it, the more I agree that just
appending the invented
template parameters at the end of the template-parameter-list is the best
way to go. It is
simple, easy to predict what a declaration is equivalent to, and one can
always declare
explicit template parameters if there's a need to control their order in
the template-param-list.

I updated the paper so that invented template parameters are appended to
the end of the
template-parameter-list. It also has the advantage of making the wording
changes almost trivial.

Regards,
Louis

--
You received this message because you are subscribed to the Google Groups "ISO C++ Standard - Future Proposals" group.
To unsubscribe from this group and stop receiving emails from it, send an email to std-proposals+unsubscribe@isocpp.org.
To post to this group, send email to std-proposals@isocpp.org.
To view this discussion on the web visit https://groups.google.com/a/isocpp.org/d/msgid/std-proposals/ef4b1a5d-15f8-42eb-93c3-e4f386499d7c%40isocpp.org.

------=_Part_9367_173522252.1473558832811
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">On Friday, 9 September 2016 10:54:18 UTC-7, Tom Honermann =
 wrote:<blockquote class=3D"gmail_quote" style=3D"margin: 0;margin-left: 0.=
8ex;border-left: 1px #ccc solid;padding-left: 1ex;">
 =20
   =20
 =20
  <div bgcolor=3D"#FFFFFF" text=3D"#000000">
    <div>On 9/9/2016 12:30 AM, Louis Dionne
      wrote:<br>
    </div>
    <blockquote type=3D"cite">
      <div dir=3D"ltr"><br>
        <br>
        On Wednesday, 7 September 2016 19:41:38 UTC-7, Tom Honermann
        wrote:
        <blockquote class=3D"gmail_quote" style=3D"margin:0;margin-left:0.8=
ex;border-left:1px #ccc solid;padding-left:1ex">I think
          this looks good. =C2=A0Regarding section 5, Discussion, the
          Concepts <br>
          TS already specifies rules for mixed explicit and invented
          template <br>
          parameters as part of its support for the abbreviated function
          syntax. =C2=A0
          <br>
          See N4553 [1] [dcl.fct] 8.3.5 p19:
          <br>
          [...]</blockquote>
        <div><br>
        </div>
        <div>
          <div>Thanks a lot for the heads up; I wasn&#39;t aware of this!
            However, I would rather</div>
          <div>not commit to any way of doing this for now, since we
            don&#39;t know precisely</div>
          <div>how it will end up being for Concepts. Also, appending
            the invented template</div>
          <div>parameters at the end of the template-parameter-list does
            not strike me as</div>
          <div>the obviously better solution:</div>
          <div><br>
          </div>
          <div>=C2=A0 =C2=A0 template &lt;typename Y, typename Z&gt;</div>
          <div>=C2=A0 =C2=A0 void f(auto x, Y y, Z z);</div>
          <div>=C2=A0 =C2=A0 f(A{}, B{}, C{});</div>
          <div><br>
          </div>
          <div>This deduces to `f&lt;B, C, A&gt;` with the current
            extension for Concepts, but it</div>
          <div>would also make sense to have it deduce to `f&lt;A, B,
            C&gt;`, since `auto` appears</div>
          <div>before `T` and `U`. IOW, it might also make sense to
            insert the invented</div>
          <div>template parameters in their order of appearance. I&#39;m no=
t
            sure how much thought</div>
          <div>has been given to this during the design of Concepts, but
            I think it would be</div>
          <div>wise not to commit to anything specific before we have a
            clear reason to do so.</div>
        </div>
      </div>
    </blockquote>
    <br>
    There is no general rule that template parameter order mirror the
    order of the function parameters.=C2=A0 There certainly is a tendency f=
or
    the orders to be consistent, but there is no requirement.=C2=A0 </div><=
/blockquote><div><br></div><div>Of course, there&#39;s no requirement. My c=
oncern is about whether the &quot;tendency&quot; to have a consistent order=
</div><div>should be followed by whatever rule we settle on.</div><div>=C2=
=A0</div><blockquote class=3D"gmail_quote" style=3D"margin: 0;margin-left: =
0.8ex;border-left: 1px #ccc solid;padding-left: 1ex;"><div bgcolor=3D"#FFFF=
FF" text=3D"#000000">What
    would be your expectations for these declarations?</div></blockquote><d=
iv><br></div><div>Let&#39;s not say &quot;expectation&quot;, but I simply r=
ecognize that appending the invented</div><div>template parameters to the e=
nd of the template-parameter-list is not the only</div><div>way to handle t=
his.</div><div>=C2=A0</div><blockquote class=3D"gmail_quote" style=3D"margi=
n: 0;margin-left: 0.8ex;border-left: 1px #ccc solid;padding-left: 1ex;"><di=
v bgcolor=3D"#FFFFFF" text=3D"#000000">
    <br>
    template&lt;typename Z, typename Y&gt;<br>
    void f1(Y y, auto x, Z z);<br></div></blockquote><div><br></div><div>Eq=
uivalent to</div><div>=C2=A0 template &lt;typename Z, typename Invented, ty=
pename Y&gt;</div><div>=C2=A0 void f1(Y y, Invented x, Z z);</div><div>=C2=
=A0</div><blockquote class=3D"gmail_quote" style=3D"margin: 0;margin-left: =
0.8ex;border-left: 1px #ccc solid;padding-left: 1ex;"><div bgcolor=3D"#FFFF=
FF" text=3D"#000000">
    <br>
    template&lt;typename T&gt;<br>
    void f2(T t1, auto x, T t2);<br></div></blockquote><div><br></div><div>=
Equivalent to</div><div>=C2=A0 template &lt;typename T, typename Invented&g=
t;</div><div>=C2=A0 void f2(T t1, Invented x, T t2);</div><div><br></div><d=
iv>That being said, the more I think about it, the more I agree that just a=
ppending the invented</div><div>template parameters at the end of the templ=
ate-parameter-list is the best way to go. It is</div><div>simple, easy to p=
redict what a declaration is equivalent to, and one can always declare</div=
><div>explicit template parameters if there&#39;s a need to control their o=
rder in the template-param-list.</div><div><br></div><div>I updated the pap=
er so that invented template parameters are appended to the end of the</div=
><div>template-parameter-list. It also has the advantage of making the word=
ing changes almost trivial.</div><div><br></div><div>Regards,</div><div>Lou=
is</div><div><br></div></div>

<p></p>

-- <br />
You received this message because you are subscribed to the Google Groups &=
quot;ISO C++ Standard - Future Proposals&quot; group.<br />
To unsubscribe from this group and stop receiving emails from it, send an e=
mail to <a href=3D"mailto:std-proposals+unsubscribe@isocpp.org">std-proposa=
ls+unsubscribe@isocpp.org</a>.<br />
To post to this group, send email to <a href=3D"mailto:std-proposals@isocpp=
..org">std-proposals@isocpp.org</a>.<br />
To view this discussion on the web visit <a href=3D"https://groups.google.c=
om/a/isocpp.org/d/msgid/std-proposals/ef4b1a5d-15f8-42eb-93c3-e4f386499d7c%=
40isocpp.org?utm_medium=3Demail&utm_source=3Dfooter">https://groups.google.=
com/a/isocpp.org/d/msgid/std-proposals/ef4b1a5d-15f8-42eb-93c3-e4f386499d7c=
%40isocpp.org</a>.<br />

------=_Part_9367_173522252.1473558832811--

------=_Part_9366_100141845.1473558832811
Content-Type: application/pdf; name=D0428R0.pdf
Content-Transfer-Encoding: base64
Content-Disposition: attachment; filename=D0428R0.pdf
X-Attachment-Id: 5d2c25fa-8cfa-4c69-8a09-ac988f4075f9
Content-ID: <5d2c25fa-8cfa-4c69-8a09-ac988f4075f9>

JVBERi0xLjUKJdDUxdgKMzcgMCBvYmoKPDwKL0xlbmd0aCAyNDcxICAgICAgCi9GaWx0ZXIgL0Zs
YXRlRGVjb2RlCj4+CnN0cmVhbQp4nN1ZW4/cthV+968QUqClYovmVZdFELSN4yRFGhTGFn1Y+4Gr
4c4o1kgTifJ6UfS/F4eH1EizSmOj+1D0ZYeXw0PqXL5zWZbsE5Z894z9xu+fr5+9fM2rhBdUcK2S
67uEq4rmiid5rqlkOrneJTfkdVqUxBybtjFDmkkmiLPHU2ucxdn40KWiIM58xPldH8j2trNDU+Ok
NcdU5OQ2zUROdmZM313/5dGTXr7mOuGMVqzi/j1CUSZFkglFK8HxPa/6NBMlqaej7VJREpdmUkry
u6s046zKySumRPmGwQUJSzIuqVZVOGqcvUozlWtOBON5xqoszThh5Rb134Y+zbQmP9saiNxVmkkt
C1jfD+Z4bLo9Xv2j6faT2YM8pCLfPH++5Bak+Kdp19iuhutFITj59gO8vW8n1/QdsvlHWkrSD+9n
vt8N/XTaetkbe2ofMtcDs6rU5Md+akY886rpu87CoZevRbUSppJUlglDFl8FBbCEJwNIHwZvHqug
pKpU8VC789yp+OP+aJqW1v1xpcdHVzJGGePx+Nf4LCkSrqhUuQCaTGlJtSyTTJZUyAJJeZpxLjT5
oUslJw40ITnZTbUXl2ezfidLMskpF+H8N8+fc5VmipfE7HZ2B8OKuIMNa7dN2zjQwEPY6XFjZ98y
rjqLq7MFw5a34NJbcAkW/CLNlGKkoZamWcHYIwI8dn+wgz1f78VFGUsY1fCHMS/+9QrqoVx+nywK
mutZff3JDsb1w0r8yQ15yzR7yzTfElHOaXk2gP4O3xcelWRKVlRV+drSvASMs7ugOrlkqEqqSxEZ
1m0/TkOqObGZezj5wdYzdEkrUcVTYLdClMTATzVDC00zxSpyfcD9CrTYoKsA9T0I2oStJuWka1xj
2vYBV05DfwI/I/0IqvdE4eTNr9h9ckN+koqXlwJ99yLNhKrI/aGpAeYOyKbp6nbaoViSjLOCas5X
Dn80XbQvwciuecu4tMMMWWAPd9a4abAjknjcXFudeGxU3up4uN8jxdmwgcnUpZwgXoG0ODHe0Ito
6EE0ZRANLN0u3um8wD2hQTo70C0I+r5Pox4s3ObhzA7wPC6DKDNZLVQFk64HtK4KYuransCs/LIZ
M49fsNGFtcaFlXGqa5ARJ2Mf+f9HLWpdbWlRcbV8DL4B2J5STpwf7XCj6UZnzY6mWS6LM8NLEYzW
udbbV6WIt8xK/lc+nhe0VLNnmMn1F+i6diQhYBjJs1szxsf4kFxiSMZHGYc7UWEwft8FHXoa7yCV
isgJS94iYS2gojc32JgtFDY3LFQyTlprYPlDOKTOQFMxWuhyLctpnEyLEWyRXcj1p8BuP4V4j2mG
hPtroHgf9u9wtW6tT1ekJNNocVCb0Y64DThp6rofdnO0hRAAv6ZDEjO5Qz8suUq0BcDXq4Bs5UUM
EoxKofCbbt7BLZ9sDVsqT24yLTT56CHdD/8Z+AkdT+vAb7XirUuq5esKRZWeQ/nLL5EfpRQHX768
NLbVt+mK8jyPp/+1BewZl5LmYi2Ev3d3/eCmzjjbPqSlIoCnVRWARlRslT/C/GjeeyMN243DX4+g
eT21YQ7qEhUgobcPO5g67Nw37hBoDjYMPMQFQMMlUOmChpOTGQAujwAE1tkBlDei4IHOAxMMor2N
W5jwlnFtPzar9ELlwQFh5OFV5WTsj9Y1Rxumg/1laga7A5wqtIcoWO4n1zadB2o420VuaYitmxCY
KVWQv/au+ZDqnJiYMS2Nyr/A+mQKkpdSku8hOfW3qxgEVL4IAlsfu4wl4FdC+DDtHUoIlKxfXIrD
7/T4i565JL07FxpiVWgIsYYCISCz6nC0xCeYX0ASLtqPp8GOY9N346d5b/A0BS4V/3hPW62g5361
kvAnurt7ONnOHO2Wy19/zu1fb6WB1+nTYQcXmlZV9YTgkWS81JTnem1S/wdS/wwOX2694fQkCpOc
FiJ/WoVVjJaV+N9S2ItwfV7Fw0Ijp9XKm/lE07ktRj89lb8tYv4n8fr9JS8D+r/56d1TmIFgjCot
njToX5TvQlc052WSKU65CuW3COU7RqFcnKPQb9Tt11gtSy6IwQGH0hDmd/YeB5gePODmYI2vDXyt
MyLB/SHGGh5DCxeknobBx82Mk7lxxPm6f8V5SCz5RVThfNHP4o9CzIgkzRiP2qMvbriAamKC1CXb
CqF1M1eEkIPchkoNxnNigokoVMSSgYBwdd/47w4HMZvhIVvChyATE1bGHjObuN50+0c0teniO+ZM
iZNd34VRkDUU3L7UrsScbHHS9cMRcngY303d3Km5/OQY1EFUhYiZD0wkGZt9B3meqs2sokKQA7b8
INuA6c/T8YRaKUIuUUj/5IIEPvhk2Mb3weisvkKSFlM9UYRzoW7xDTgkr033h3D9LA2YnFkbt/V5
pm3BuVSBqpJ5ca4k8tIL/v2I6yh4GLUXb0Fa9IC8IB9SrYlpJ3PbhhXb9dP+EFlGNtB69EvjoZ9A
SbswnU4hURtcvNoece/nlJNpdOHGVVIbOhlYM7ZQnulQPetiVjeMZ3X72axgkAOPcgCyvm2x5ETt
6YLsrDNNOyLrcfKZ9QG3DLo2DEMPDWg2/A5pceCT84K8bwAO9nik2TbDg21CdQfIsOglK4CA49Ua
l7mkUsp1isjpo0jCgodKVZEW/MQ7XeMi8IBCVOkvwJGvLFVFvjgZ5+zQ4erROOw2Nd3+i0AYtpw9
xqZFSI1VRcywX7bDYSWK2itvh4ux0wN80FYUdsb8m5Y+yyWt1K/6LTh+RJjQ+AlwMI32bmpDjRdK
JjGj0j18Uz+1uw2Usb9MoYE3swnwFAo9/KIC+xUR6UToW/DHOb9nijm/10GMEJwEKH2N/fYt47Af
zfHUQj0EqH4/NA4tlmkfjZjeKDGYjp4IVL6/NcYjG+UGhGbO55R6dLvPyRquri7Thg+2Dv3gR33f
nEox933rPlRRTTd/k22tt56CxCd7s4Snxyam/7x1FQ1LkO3cTgiEmchzqlSxFiW2/MAiu94d7IAT
/4rCvyK6xoAJjzfJEX/ns7HMHBtEQGjIIrCr0PyUml34sarWFaMOLVbYOMcC8NMLSAHzqAT5AbuA
L7bsA2OAYsTDNsKnYt5Q/AYmLYqROjpyZjyAKra8+9Jq03AuxmQgN7Xv5gZrgoVZJUC3VAmYqxKh
hap8a6MLrxnH6Wgja7jG4aQJtzRbwB+7Xihgqc59dRt6b4+ulyGAAqp6LLeIx5GRCd27JiBt/LcV
atqTDCGyAatgMFKRozWhbj8bvWAqyaSkJa/if42W+99eP/s3rsUwQwplbmRzdHJlYW0KZW5kb2Jq
CjUzIDAgb2JqCjw8Ci9MZW5ndGggMjE0NSAgICAgIAovRmlsdGVyIC9GbGF0ZURlY29kZQo+Pgpz
dHJlYW0KeJztWkuT3LYRvu+voHWIwSoNBfBNxUmVk1jy+pCDMjfJtYUlMTOI+RiD4M6uU/nvrkYD
XA6XknZWIzuu6DIAGs9+oL9ucKi39aj3+oK6MqDUo0ECP5R6auvNKG9eX/xtffHiFcs9RoOCFsxb
b7yiCMIs8jJaBDRm3rry3hItmn3NtfB/XP8wWT+GhdyPWf+I8ub1hfd2lYQJ+WY28eMHg03v9qLl
zfGmdsE1Eh91AvLXJ+xudum1Gko9m51Gnv1xs48o97Nlf9Xr6upGlLpTcybyIkzIS99uU53CzsuX
s8XIhte9uAJ54YL/weK/f7bLPoJh6q1YFCRx8UXhemn/BWU+7izfzJX1ydo+wxlOk+ZcnI+2gvnR
z2PtWg2fbuxhFtAiR2Png+6WTro54Zxmwl+WVnn74zua0Mcf7v3nQcW/owlznD96UcaCOInxjifI
da+5luUV73uh5iZP4MhnMvlHMl2JsjZKXTjJhPFT7Hbh6vB6EM/tIhl4bGZ/zCJHlHu1Pnu2cChm
7M1bTSXrvCfa4otXLJkCK1gdDaIwxkGXrb+K4pjwymekklp2lqA7LK/9VZgRIdsttm/8MCdCATkn
XS+eAzklJa/rcYze+YwIrNe8gRk4vuJIPEi9g1pELEHDmLu9GSSwR++4xk7ZI6XtLIFbxo4ihijJ
Aso86uzqbP5tLsE0DbI4cxsdZF2jDuIwCrIkO1aCEv1Qa38VRyGRLZSGZ2juuKqwJvwVI8pnRHUK
h8i2l5XAXr0TSERVdCjJO+zsNthnB4Uo78yOrfhzfxUnGYpusveIrEhU26ERLejAHrUS1VAaYwDW
ZrC84bIelAj8VRpnZL0D/cSUkapDWwFuDInafSkj+5obFWOrlaWobR1tAWqd3gllh3Ol7aqGQ0ot
h5SRmrfbgW9tqx9KWNguwe2kf726/Oe3362ueS+qJRYqoYXhD8wXJNBWUImJ1EgwNhdFpLuG1W9k
N/RwYBiCZgiT7JiyFlxhnyOZw0JF/DzIGz9JCK9HAQN9M7SlvWwwXDQgtL0P3GkRuCNPb+q3rZNP
mIN9aN6WIIMwI4edUAI7nu251kK12Gq4RunIdvsMSQdod0NdYfPaXTlYZ+jFZqjtDj2W4AegrETZ
tTYyMYNRH4ajo7sLpG6zJPSpmYGc0thd8jQhHDgwpNE0odXbdUvJa/kLB5H1gb9Kooy88vOIwIWB
ceKWN/vaeKMsJLLhW9kKXNntESPvlmrqfFRJaj1empCtcISdWGJj7qsY2iiUohZTBllIet0pUWEv
3H8o0TgYs77U+JnlAXsljOnhWpbHAK5oRt7I7c6dnjHSdtA4gABYajn92m68M3fvxr8/sOGVheSg
pD5i0sKy3sn+5aOBfe6KneVG/8+RzdADHn5iErHA9gmJxGIqc8L880dD7wmGTCDtQucwcYdJ7EJH
FGNvUTyzt+kFffEC9RcEwdFuczN9etSEmBdFlLiyHCZhjlB91wjs6O/QH/Db1UFiuBQxhzfU4g0l
CoBCCbuahQ868TUGVw2pw3KvOgD6G1nZYCuiJpqKKGlFrw0KwyZhQXgt+bgytztWGEiIfsnH/Xvo
YVjujpJToib+JgcfJVufkS044zwlawj5jDByV1r0hwrHYq+66xqgDhqbMbo6UkoYFgGLkt8ijguD
oijcRqCYIiTXgz1y040SmPp7y1nVtV9bQexN3GZVgb50FRZhwKKZZU0ilZSiTmC5OGXmQhmTgB4T
JqaUNIhOd9gqQYOM4Ay0GyhHODfnwWk/+Wgt0OpF29vqxgSXqVFpg/vqDi5w4K/yMCHfi7YE+4yL
cKpsmDGCy8fgEMST5c7KstxYGZRoClmBZpujrLAHjLXC+igUaBhUzArCy7Jr9lYYmGNkOWmE5i6I
shNK3mKll83eRGtZ4TbOXSKzAHaT0MYcxMTfGM/NshcIPeI4JpdtrwWvbPCIdziehlaRDdcRcKOI
mGXAADIwAKCYQwo1iz+bTtkZ7yhLxK28rm0b731MDpAoSPco9r+Pzp89Z/9MD3YW5/54D2WnhDan
Y+1CpHMGvJ3OSY7nREERH6NvGDxgkVJyae55huCTpaTbaNEiyeU1QDbXKMuIElpJMcbEmU1ozBC4
pRPQzTIM8Kdj9lzxRmhzf8f+1ABdlpGtaIWSJTZmPgScRp4RERjozGL0yzCQl6Xo+5XxUJbtqaSM
64uZQdOYMft0hqRGTLJ+kyQyNskxYUhnqdy2bVAApBYjCFgSHCD0jg8QUNeQ6mcp+R5hwMCLfQcC
vDDhi5HmeMQJ1sGWSDxOnBagZBoEsfsAem5HaREkocPtagnakyALxxcaCGKnO9sQ7LCT9+4YGC7r
oXJ7S20rSmyEEibTPorbShDXDdZ/Hngt31EWC+UAwgWIzIJSREd7jBipBa+whq7XW2VJEMazp6Oh
Fbcu+x2BCd+TzpCbxX+Q3OyEdMWg+BO+EpA/LZ399pMTwVGRv38m+KFM7vb+HXl2H9e+lev+7izm
cPv0FA/SApqP0bqDnL93zV7Won+OTRO9Q+WgOnBF5kuPaHirZdl/9WFwcjtMke0k4H0I/fbjhvPD
IOxR1ueUwj868FtQM9Eu6swI5quTDebDcvmoSV9qofhp8c5neON4SvT3UH3S8vK76euhLmIaJHH0
lBcL81iKGIJ5ivrJPllDPtENLgHRO/f0PbSbTumhxbdYk7HogU8ezTvzwgpJi0luej3mTpA5Kvuh
YijddIBM+y4SEd50w/RB3ERQ0YPvSxKh+wvefcG783y6p0FaOEbCxP51ZkoZPwTzu6snSffsH55v
T/7mPF/lN0T3h7t8Rgh9T9LIijBI4tRbRXHAaGizxqMp360vfgWUgBNvCmVuZHN0cmVhbQplbmRv
YmoKNTkgMCBvYmoKPDwKL0xlbmd0aCAxODU4ICAgICAgCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+
CnN0cmVhbQp4nO1ZS4/jNhK+z6/QKaGQiM2HZMmZ3RwSZIJZYIEgayCH7sGALdE2MbJoUFR3G4v9
74tiUW7LI+y6H5kAQS4mWSSrikXqq4dZsklY8vMbNraUsYTRAn4YS9wmOaP8+vObH1Zvrt7xKuGM
LtmSJ6t1wjmjpSiTki0py3myapJrMvSm26QfVv84ck+us0IU5L3XTnnrcI7mwHr8CRInlF+P+/4+
YXaJqnGjP+x1p3Z6TpnVE7Qg3313xoKYeJa3MJFknNO8yJOMS1rkS7TDf8Lc1TtenJqMJZlgVIoc
F71LK0kG57cpJzrNOHE76/S3aSZlRfzW9NAryd7Z21bvkFzb3T7NREXskHLSNT2S77e6w9XeHeAK
kIdF2k59SkUFMoCqIlvl1E577eK+VJTkALzLcWGjUZTuGt0BA49LbRcOzqZHVmmWF6CtvjN26OPo
UUheAANRoZCKwEHzqiK3o0hOajX0Gjeq1qheRy616r722L3FvTgwHSjtnQ0smqHWzXEC5W1V3Fdb
PIF+iASwDbROw765A90FmzmUaHuDysfXcMFDPP9gzm5fDd7OPU7V3Kmu1i/7UCLx+sMNK9jFGs9p
deFX8tWceOO/vVw2Z5Ky5fQK/tdH3PvmBZ8xo4vlqIUocNeEgrsaXavDR/8ci/ztGcgF8lo49Dnk
wDUaf8MK/pQzf/85djVmvdZOd7X+GOQEU3aBcej+O/IXxahbEflPKOF5y/z0eWdLThdyMb3Aqytk
SymdaHL+bUxAtLgEQyUuet/1XqsmgKYkJiBUTu7TgJBtg+QjaMBgB3NDDcixRUpnakRBSVTXIIe6
tf1IRBiVZOgH1eK017t9q7zuo9w1tvdHmM1J/Si/N7t9e4hLnPH698aQ9Suhx1Me27Pe+6t56e/n
vpjVE5AviKxt1z/rY5+Fv4ezzyqZixRWaZS8P7zKpT28PfVlxSjkRQFP75U39cf10NXeWEALBkd7
e7l5z1zrX2HiKcRdbEJRUrasvmT48IcCwHv/YgR4GouXBzH//1E9TaMv6cBnXPCz3Pf5437cU0z3
SLrMp/5M0s9Mxhj5BQPxta59mollQdbWBU+rXBNyHaBByA/tRnfamRoHrQreHv1/o/q4NLaQbWHv
DqIBDPVLYvtI9VsVmZoouNO6iZshKID29pjMSBbjB9wbmfQHTDzUw1F39AV4+lODBSmLCvVbLElj
bhiXcNkx+QLi2tkdLrvfKv91XBpCEwgxYKKxnUZyMMqiIp11OwhdAoOI4jhzDGRomuVCkt+2ptVx
ajsqMrZe16DJtjN1kDafBcoCVHfhtmQBKauzbavcAafsGsnBQkB4zBjDCO8gpnZg1kX+uFYNfmsd
9v3WdJ/6kZmJ+02k9JBQQo58w/giJJcm2jFEYkVFVNfZkPSmnGDKDEwttmNWOnNEDC4hbc+EkGSn
UVVjO3yMQpJeQ+LrdXtIq5yAaVlFVuFJCPmY0AuRo22FjKlq2GwAvyNR4yrbhcsVMcRUIRXFqfAQ
hSQbHfeHRwut2wy7eObwTmDxaQI+dzh4MZLn4R55fvYBpXykBytzFA4t5O0YrE9rREzQvEoY8m7m
4vkiFJHiCsh+zkoEklePYTXPY/jeexw53Vvnp7rgY+GSrG3bhhu+N13KyQanTz9IGK/De+I5iTIj
zsSpE5x5fuafcVZRwcovG7x/sdR/1m1SSpXb9J87pktKATPexGk/uG7WXtbCUV9WD0iuw20r9yQm
r57jH0320sBnZEQpPYbqz8+yf3pQNeImW5D7bUQfGITiZUADmEFk/BSHI1k/7FtlOijOBTJADCsC
lLAFuW3tBnsR+sO3Ddyc8T6UNWHVicx/1dZ75PFPfUDX3eP4OtqCJTzYK3TQTCdLz+z1IcAMJ7dD
lOxTTrYTeCwmJcFDmuWALwqAAnqxzsjlRCEYb1UTl1hsMf8PXYUNGgB6sbLbR14qlh6HODZjG3l7
3bam29A0W1SSvO8araEQksvoOMJadE7aKXT6M5AfI5gAvIi0YPRcLI7BAYyKiT9BSgO1U4wlwgII
fmCf0zFERXoN7n8fUr4wdkMbKrsCQzHYoVqnVXNAYj+Azz711zNaQyG8NbXy4VmVIt4B9HaqG19L
KciP33yDnaHHZ1KKSX2oFKMFOn3DeB6ZYJyFjDV2arvpjDd3ozcqBWmtijzcoy1gqILrGQ3azNs9
Kikl1uRzcP2bNtapztyRlJ+FvWHHqTfDNac1L+tjjSs48jKGNSESht2x3CWPAWJgEQPE/ncvdf8p
ylSU0terVP3lcJ9ye0+tbD3TU57/qSdFwnMq84UIwZ0oqShlkuWc8ryMiWyacS4K8ouze3AukFQG
oCjIb+lSEutSTppYBJtxvpJTLiKvH7eq20RQCL5T5qSgnBZRm8nesqK8EmM8fa0f9o7undlRAAAZ
oE4K0qgPV3xONOcl5bkc959dmSzoMq+SLF/SaqxDycmSn1Zv/gu0JCx/CmVuZHN0cmVhbQplbmRv
YmoKNjcgMCBvYmoKPDwKL0xlbmd0aCAzMzIyICAgICAgCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+
CnN0cmVhbQp4nO1aS4/juBG+96/QLTLQquH7sdjMIZvdweYQIIsGcpidg1pWt4W1JUeSpzP/PiiS
kqxHe6TeSYIAuVgUTRbr8bFYVRSJniMSfbgj4fmnh7t3P3EeUQKWWBo9PEWaRZpYIIJGD/voY3xM
T487SeN9muT/PNfYzJumqMrvdp8e/hJRDYTzKKEcpLCzKUXZuimVe79kO8nivMaZdySiEYlqZAQb
v3y4+/Hh7h932MYeahhYIyJlKVhlo+x05/4gwKSKKAUtWFTn0dPd3ybiqGtxqOHAOI+UlSAs8wx+
v4oBy9waUwYMEMVuMjDSJ5Kxlo4ZaPPTGhYYJcCJnLLAOBCzngOkIqUYc3A+pm2+igfOwBg95UGA
IHQDD5wD5WrMQ7JufQXazqxAgdgNVmAccWonOkBQpquYEBr4AhgtEK43cCE0qCkY3f5I1+FBSbCM
T9mQIOntLTHmQimgmo25WIcFTcAKOlMDBy02rK8pUDvdEKucAjMCqJkpYCsYjQDB2VvAaAwQo2YK
EKA3WcAY4FyOGTgWTbuGB044SGNmTgHMaxzMCV5TU0DtfH9tdLNIRggzluj9KnGoBCvnKmUgbpqU
iUiD1cQvTxUwgkQ4GKn88tXZ6XOmfAJCqYiC4mp2Xu1zbGTHtMaTKm13CY2r2pMZrWgEGBolV1RW
L5e5A/HkvE91KfdJ06ZtfsrLMJ/K6/kJVxasMFHCCHAmPI0fDmn5nO8SznlclPgUsQQKMrAwIqEN
UMMi4qd+xGMcznVxgmN62nEWP+4SzuJ9+umdWuKAUg1U8G7+d8Gq40giSqgyQCQb8/lwQCa1jbNj
1Vzq8NLumI6/nHcJ0zF2GRI/VbX/L/WPsiqT57zM6yJb0irVBATTHU+vBilL8li0iOimHtJmtPD5
8ngsMs9UsaNxeSzKjsdLuaNxhpho8a+q9P1Zejy6YChhioCxdBwOVSioifM6bVFIyVX8K5EEh4D4
lUiKfTp+OVRN7pvntE5PeZvXjX9Py72fV+ftpS59Z7tjxivRxGFeWofGPm+yunj0Ct77vkc3Psw9
5Eta5VqBkmJBq1687v+ReF9XuLAgB1v9oVk0KAMqaTfGn8zhZERFzDZmUZVJdkwvTb4IWUGBKdWR
Q/0tbU0G3Pa49oFqWhyL8jnxEqGyk/bL2UWti1CSIIXsKNR5E8yRtcVnVHd+/LIzPIZdopWNf8I2
QkCIEHdECWcEjGFjlXbAT4SWaAUk9ego79P7XSIpcRZ0fzs4us21o7HrU1No4DAHc2yk/tHBHNsF
YnyYfQ3zHY3RqMNKCHX3VoXtG1CNXaf8hBs7wM55zYiMJWvzk488E8Go3wYCJDC/DbDPb4NFhBCQ
ZDBXoJTMsdKdpHNHJjHwCASyqmyKpm38stXTqsPKWGBcRNJqoEz2h5UEJW8dVmM+kIrAKIYQUMIE
eQ6rQjBBBCgupxwIkK+Gw7eOf0EMWK2n5BCUt5OcyQ4nFhjTY4n6zbBKLmaBCzplhINkN1OdCR/M
grRjNopVy3MGXM+WpxqE2rI+Z6AYHTPwK6Ei36/iQjj2v5VtJQfL+UymjQmskMKFD2O0rktghaYg
7Bxe2xJYpKKFGnOwOoEVVgDRZq7VTTkDUuFThK/KGYTVYM0cWhszWGENsInPWJ/ASmJA6gW3sUkJ
SMUw8QYlWAuEiUgaDlKrt+bP1gLTPJJGA7Fmc/qMgaxUfMrFxvQZqRjKxlysQiJlDCQiYaKFbekz
UjETJaxMnymXYNhMARtRQLkCMjXDKhRQbkEzNVPAxvQZyVitxgysTZ+pFGC1nfKw8aChUgJjZszC
/br1DTA5W18CUa+B4JaTp4oHY4zIqW3nN1LhbILpYlVIRJUFZWY2fbM8WoAk8z1iQRq7QSAtAN3d
tTxp6TMgw1daCosJYsbKmyWzBpSUM8kIULsheEQylojJ/q9WVa+IATXX7VsFYpSDoDPLMwPktj8b
C4RklJrY6uVQZGitw7rqLAX27QzFhAIiZ3JpMPyml5yIJZSr3Y+3VLNKHslBcfPN5JEGhJy5CMqA
UL5BIGlAk4mPSM/r6tYWrJoJxAXo20W+CQeaAKN6zEFIMso91jmEEnGF5RpsFG6/+zy8xMS07YaM
8+OlXJNT0PrrqeZiTUCDMt3UJ188jBJBCHA7LZ2kAeQJNzauHD9ZdqnrvMzy0BmcMBASYf4buRZq
etzzywdUlxkxwoGSvqSSXnon4RU81y7QofbjiorG+joDNlwZokvu9+lyFUdbEEp+syoOl6BYn7Df
7xJBeM9ZVe/zuldSwi2J03NXqOISuLBjbQd7p3VaZjlg2m98fZIZOQWL8WDBf1aAxYAZCoob0SJB
96XZovFLpvgQQxnQ9549Wn4LDD/5QW0nQVbVfQGqwgrOPiiDcQHSTKBXlM+LshjgxGwy4KLliAZF
e+ztc5yRY6FVOOnw8XQpMzffvV3J6l53NEZxNYqLHVgqMsBBYqUIjadtKC4L2ZdFuRCT2rJTAGUS
LJ2gwdVUBdNXfODbdekV3xFa+PT1ttnwzNfDcOC4yuvmXBW7QnEWG/u8DtXBjoO6Og2rLFglFNHk
G4rdRrm09XbtlYJg6nfVQQUYxr5WbqWg1DZs3SzxEpCiX7OrbnONcDgf0ywgPEq4FKCNfNX1SrPg
erHzd7heBmS4cfm661VgqBy5XmleLdIzIFIOW8srLWmcQv1b4UpOi/5GEbC691VNL+nNFfH0/oa1
eQJ8EOClaA/BTpYBE5NSuD9/OI/L9JT7ey7HLefDX2PPt0fDdxdj3qfrK5++hH/LwAjzRgdOQQww
hCAKpa7S8J+4s9Pf+s7uI+wSqnTsHioOb592ibQU7zCEu8PghjlPbthwXYEvkzjBdzoju1ZZLV/n
CVC2x8SVh3OXpem5vXhPtCQrfpQwXB3dYygguriFXV08Gja/eGTh/s/wTpisuooE6s6tRgkTEpRQ
Y3QOhwHj9srfu7fKPwMui4BAPMwF6f/tKOCRRnmIR7hdYsPNe7rgnWS3KBIaLeqkcat3hBrcN2h9
H4zXz5FvvFKhE4yANX2B0AJ79bOChQg9FOgEwyTe9O5sxfIYMWBVbbI+xuEbMgRKsLhNxwxMgrol
BydB0BUB3Os3S8S6/X6NQeNDDI4hpAejXMACN8phAf+9ioiM7IB5NbvxLtAoHx7V6Qlv5DrHFCVU
ctBqctCNwtfm3rsfR5qLwYVeLY0O1UU1zteOb/ncnKAeRKwQr3oLr2aGxT0uFHOfMjDt4JEIClRo
z5/YJZQyGf98Oh/xI4gdp3GbBl60xOvlXcJpnNeFO5oXtE/Q4QJluvvmwMXRFue2eRn2jpV+z1k1
+CvsnFyvhpmHdO8bvj/PA4mi47JLJ11n+PPDDz+MOxgh1i/Z0T2ndetbeIrhMy07XrsAsjgFsC5d
oH4Mnhz3jMu3sfHLh7voo1v+2s1HH+NPwUgPB2T40pm/aP2zyfNTQMIgmInb9PGYw5IFydh2Mtju
z0WTXV4NQTvzqP6TEOeOiYpfvHcLb8HXYRBHZPyUv/ju4AnbuhpO87op0qMft8+zAldu/Gi3l4iM
3dZIf9v5G3DscUcujjh0q9f4EUfrwwWifFzhBhSNn3JOO5ugHrkMGQeOLY+BT1du6IVJm2ujya6Y
lbcHt9kZ9QwyghfpTqAX3536xwSNfqifQntNpE4URsOwyp2tSHI56laghk8h3nRtLoAMh7P3agM7
1+61qMr0+Oao2XCwSq+PmhnYIVdNHtPGe/coEVy7z63G6X+f2cEuUdTGfz/gruaWDrbwWLBspFlL
4+ZL0Pw/nQsVPXb9aGezS9OGtwF21hvWsthnG1WRhSnhaw0aP6fY3Pcre3ha2p0VTRF8oaWhzsG6
OH3qG5YLXi5U7oMEfLvOcXHv1/kx7T5YCeOr7nzwbGK7v84vwoX2TcrfBSSZiScYBZqfAlQEYqL7
cVAZ9Xj39v04hl2BL4T7l3NedhHQ4BgTyWT8sGX191PXigWJh/vVWA9rzkDtKdFAh8lulgx0Rj1u
z3AxLj5pV9wNu+Ddu51b54/v/XMwD75936vDK+A+DBr1/lx+zss237+fbr6RKZNu4fHp9L9u0Q32
XLRl0OjDf82mnfUWTfvwf5u+wab/Dltm1eW4983HYJy88EECttHRO/Mdwp/pY/U5v3kaDsa7drF/
rVz5UWBCiF8zC2Ew+luIE5Rw17hdWanyZcWleIBJMEOuM5x2uEqTl023YOWfL3XheTChiOqYKeq9
b84iHhyI5Q5f08TTVnd/55krKrkhLzufw2M7wyAaiaVZljdNt0Yo/1riwPxK4v7VfKcrN6X+MY/Q
OEd+j0VWtC4o5CLESK5G5UODEG/3R+hTN9D/8XknVZweL+Gofeo+OR/vTy4sKNLb6GHJOHidYJbL
PlgIFy49TqSB7iN9MRrz48PdvwDveY3+CmVuZHN0cmVhbQplbmRvYmoKODEgMCBvYmoKPDwKL0xl
bmd0aCAyNDk3ICAgICAgCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQp4nMVaW3PbuBV+
96/gW6nZ6Ah3AtvLTJJNst3ZZraJp33w5oGmYImNeClJx/Z0+t87ByBlUaYk2MpMH2ICFPGdG86H
AyAkWkUk+nBBhicQEhGQ+IeQqFlFe28+fbh4c3mxeE91RAkYYmh0eRMlLEqIASJodLmMruL0tqtm
Xy5/2eJGV3PJZHzjX4JAtOGPEzJ682k74M9TKFdfngET/2kEEWJgdBV3D7Ut08JOib98jvS/7CHE
vxNJeoAgTQ658v53IunMNf/jH//9I34XkWhOOUhhfChu4DnSqto2aVc1U1o7gWc4XplBJpN+0OiN
H5SX3b7sV73QkPHOEdk6bfZkvzxWAICGO98u3lO5O+1JNGcEOBPe1f+caR7b2ZwpHi9tli/t0ne6
yj/TzaaaMR3f+W6R3+flyrevZ3Om46pb+277UOKHXXpv235suTyILOK0rmdzlsR2+Kpb94rk5Ywl
8TdEsx5zO9YW9Sbt+u/qtEkL29mmnZpFTo4eYNFMJ0izuLp5/MW5iPNdF2kKVMuI9DC9yHk9kzRO
G/fXSZ1v8rab8jElBqTiA8Kr2ZyZwV02S2/bXqG88/pgn8a2aH13k39F++2g5IwO7TYv6o1tO9/L
8Cv8tcozB+AEsR6Wx8vKS2x9t6z695u8yJ3e0ZwaAonQY8fZ+7qxbZv3AbAtAkgd5zMal76ZurA8
YCeJ77Cd7rzwcZeJ16Qf2YNkVdnmbdfHtQfI3RzC1jrt/tD69rIqbQ9T+qePpEziuqlqP/nadONf
3VSNb2RVmdm660Gu+vwgEXU55Bo+dT4KKfl++nyBqan013I250THWYqhwla3zltsGYyCjtdVnvW/
+Pc6XlpbuLguhxH9B3dNhRmEzarEmHHKt3g6rlNvmm0Gmb1wB5a2+ebB96999ngt0sKWLsOcqKpX
IW930hffbNICJ40fukxHeSN78m2qYjbnnMe3rUt1zkU/wKU6dr0tnMc3aZFv8rTxvcfsxI8e+cD/
irMilNb3F2smCCRaDxn1ZIHZz0CmQIptCj/yBPT5ziIqgAvF8OM5UwlwzqO5oECF8oPUbE4pk/Hr
bMZp/LWs8HG3scuVLWw54yzu2gMEyylQlniYy3VafsXQShJfItk67woT/1yVtinSssQZIEX8Mc+q
jf/uTbVJ+yEulbBRdWs3IySJC1ugY3s+afovkdTweYDUOOVAtRpc0nbLee24rHK85hJpwhqFpgyD
ijTf+CkhSezIz7Vc6mGjbpCM5p5aeCKAEzVOpG/5sp9TPM6qAh3JEnSknz+Vf+ZF3bhZ+63nQfej
zxDOdzJkMpykj2MfgKSP4yd7YxtbZrY9OnP2wnf1USiivjypZgiJP+U+9dNm6fX6XOTd2q/87y4v
/n1Be7qh2oCkOhLSgBEmyoqLqy8kWkYk+iUiwI2O7tynRSQIaIoLxyb6fPH3vmwdry3aQCJ1JBQD
ncidVbxqvqJvn4hnzICWNEg8UKq20ncgOAehkxAIZpzrj1iAYAlLxhb81KQ33YTvmGJApThLeSUh
MWH2i5PKKwWE07Hyn7u0XOI0eKI+JwaEDHLcIfUxcYkJ8oDLNHpMfQTjXIzVv+lr57HmTJ3reM5M
qOOVPKk5J08d/1tTrZq0KCbnPTfi3HnPjQahwzJXAdHqqAVGQ8L2MvfXtFzdpiv7VH0hRGjcD6kv
RAIJD8paCZyZY9ojltlL2rc//HCgvNpfv+dcmvFKsO66uv1xsVjl3fr2GrKqWGT15rbFf4slssHi
elNdL4q07WyzqNPaNu2iRDaGenkz3isd4PI5VajzaMNz9Tf7MPPr5iSrf86qrvMFzOOXk6QuQWsa
CaaAJOqYc7kCxvVxUldAGYIZIIRtvUvFFJ1TUNyECD7IiEwCS2QQBHI1O8qITIKkcqz7r+lOidLX
mfvErv2ieIYZSb82nIagGog8mp0IxjHdds0YStax5rgC87MUNxy4UkFzh4Mx8qjihoMiaqz4b37i
3tism6b2wKl7kBg5CY2eFKeoBcFcSbNrwXtf0vi9ZbMcGD6Aapigbq/whG5+XCxazO7CPuBW4HpT
rdq66pB7oGsWjFC+IHKRUTGfzYXEzdL1Mm2xo3Aq+Ebt3eo/uamaO6/d5L5x3RWblzPVRy6oniQp
55w0d5tfQU38D9ff5K9mcyFo/LNtrv0Pn2+7zjb965/S3Zoaf3593aTrtJjiN84YSBXxRIOS/Ogc
YafoDbF0xDUFqbcL984G/qlwJYBTHSJdjhJ7F0KDNiIEIqBsUgYoFyMTpqsmTcFIeZbiWoHkNASC
KzjODYiVJHSk9wdb2ibPJgoOxoGQIMGHdBcsAZkkIRDq5D4BwTRNRsrj6abjtmrzUFRNvc6z7RHv
2BijgImg8B8yRhICmoUFwoCgRzlOEgpEjSOxt0g+NUJrXGi4kkCJOGqCAmaOpqDWyC+YFFhEO/Hv
+mO+qmwDqfUJuzlOvbu7g6q2pafHtltC1awW/+oyumgzxmY0XtytGF0sq6wd6jhGKFuUyG/nFXMf
uZTm/02RnALj9LtQJBdAn8uRp8Wf5MjTEM/gyF0bjpPkGZoPJHkaIpwkdxU/zZIvV37LkqchnsGS
u9o/nyZfbs2WJgNCEU6Tu9aE8iRNQGn2XXiSEVDETPPkeBsoBEihQ4QfqqWp0EC1CIKQJ3eSQoNg
YmwBTodP9luONkyYYBgYwc4ywSiQSZAXKAGaHJ3RCKaR2HZNYI83uad3AJQkoIdbLfk9Fiu+KHGl
edlixfvF6sPbt5NL1etl2t+4vLnt/KUeLkgTRw4ChGAR0xw0OXqewwlwfTTTEAxDxZD9uBoyrbPt
xI6R4fG6pCGSD+55aQJGJyEQigFhxzfrVANjyVh5ez9cC+RFf704tW6yxIDk/CxbNAeqTAgEHr0R
cdQWzUEQM7alX/i37D2xiAoG0ohzzOACD6aCppMExY+eAiGW2AvI5hRvYyHAddCEPmiDlkCoDjTi
xFEKgjGp90KRdv6ex4aWyXOGq6qe5J9VlsGqvHWsU2ywu2CEGE9HRCP/FO2KEJoIeNnpwcA27np7
mm/KZWPv+jur266ryimyMVjn8IgJA4YfPyQ6fWllODDBIyYZaMX3L61mNJ66t+J4V6GCNDh4b4WO
YSEQIfdWCTDKxkYcvreS7pT2HOWVcae0IcqfPL5HMDylHSk/nN+PNTcCKBNnaW4SSMICZ06tU1iv
jZS2950tD1RjyEJKneV1Lom7tg6ACNgTSQJSqLEB03si5Y+Ez9FcJcEZK04VYQj2JGPfDv+1JpQH
Ew0s4d+xDpOLEmktuA5zhQtBDfC/eNDeDjka++7y4n+RAYwCCmVuZHN0cmVhbQplbmRvYmoKOTYg
MCBvYmoKPDwKL0xlbmd0aDEgMTYzOQovTGVuZ3RoMiAxMDMzNQovTGVuZ3RoMyAwCi9MZW5ndGgg
MTE0MjggICAgIAovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0KeJyNtGVUXNkWLQyE4O4E
KzS4uzvBXYIXUEAhVVBVuIdgwS1ACE7w4JAgwT24huCuQYJr3kh33+6+9/vGeG+cP2euOdfca+29
9mam19HnkrOD2oCUoRAEFx83rzhAQVPehI8XwMsrwM3Ly4/FzGwARriA/hPHYjYCweBgKET8XwoF
GAiIAEMhikAESBygCYUA1DxcAHwCAD5hcT4RcV5eAD8vr9h/hFCYOEAR6Am2A2hyA9SgEBAci1kB
6uYDAzs4IsQBf/8CWG3ZAHxiYiKcf6QD5FxBMLAtEALQBCIcQa5ABNgW6ALQh9qCQQif/7JglXRE
INzEeXi8vLy4ga5wbijMQZqNE+AFRjgC9EBwEMwTZAf43TJAC+gK+qs1bixmgIEjGP4noQ+1R3gB
YSAAGA5wAduCIHCQHcADYgeCARCOIIC+qgZA2w0E+VOs8aeAE/DX5gD4uPn+tvsr+7cRGPJHMtDW
FurqBoT4gCEOAHuwCwigrazBjfBGcAKAELvfQqALHIrFDAB6AsEuQBsX0J+lAwHKcroAIEIc8Fd/
cFsY2A0B54aDXX73yPPbBouZWQlipwB1dQVBEHCs3/UpgmEgWwQU5sPz1+E6Q6BeEL//IHswxM7+
dxt2Hm48hhCwuwdIVfEvjZ2HG9Y/MQcQAiDEy8srIiwKALkDQN62jjy/FzDwcQP9QfL9DgMhdgF+
blA3gD3QBQ4KANuDXOAgLD840BMEQMA8QAF+/yb+G2Hx8QHswLYIgA3IAQzB+sedD2AHsv8TawIR
MLA3wIyXm5eXD8D7+/v7zwIGAtpBIS4+/8j/OGKel5o66ibqHH+1/DcpLw/1BvhxCQkDuPiFeAF8
fMKCABEhXkDAf/voAMF/1fGvXFWIPRQg9me5dh5u/ynZ868ZYP3rgrAB/ttLC4oA24IArP8Mujmv
EK+tOa8Q3//zuP+R8v835b9d/q+D/r8VKXu4uPzBs/4p+P/wQFewi89fCqirmwcCBANoQu1AMMj/
So1Bf15deaiL3f9yqgigC9hWDuLg8vc2guHKYG+QnQ4YYev457j8GTf8fdFcwBCQDhQO/v20ALj4
eHn/hzNwBNs6Q0BwOEDoTwoEsfufJZUgtlC737eMX0gYAITBgD5YvAA+AL+QEMCPDwCG2IG8/5hi
AA83BIqwA9kD3DwQAQB7KAzr94mKiQB4gL9DfyJRAI/NP4gPwGMDA9o6gxAuIHvEP3GBv+N/nu5/
iN8N8Nj9C/IBeED/gkIAHvC/oCiAx+VfUAzA4/o3FBQD8EAh/0rm4wfwuP1DCwN43EAwMPRfq/EJ
Anhgf0MhIQAPHOQJgvwTEQTwwMHe/3iIAHjgLkC44z8W/LwAnj8F/7XJth4wGAiC+OMagCB2/8F/
vGsgkDfIFmt+Fmor8dqp9nXrdbUclRfX1qjUFPOWcTobl9887IvHLR56KlvV+1crsEu51MEugsUN
JdYL2e90D34HTfXoEc3Jui13/vdWiXoTWy1Y38bJ+sYKD+TqemkwqbkMZLf9H9z9jUKcnzQht6sx
57p7iOLp5BNfe/WoeNf1li0Mh89u6W5XCatj35dNcsUaxpiHFE8z59lkzVAwoCG4aDDYiU688acv
LqeIcsZ+0aklcmAFHMYKfPAzXeWPu5nxXaow4Id3UDJRmlLQPLkgGp5g8ZPffatGPudXUhSzIjWX
LRIVP/D9dU/SjLoRJUOgDgXsdSmXVGawRjsxU0eOl20mzMXIdkwLwPKcrg7DL4y5RMU+uZJxsMQq
ixocdPPASKOfZIJsx/Glk7bj8Miwnd0/KZ5CnC92Z9SV9lKKeL0tK1D4/gaNpxw4oaLxNNUeaZnx
u5Y22eSIfl6Akt4gPLa+0M+s91ced9EVl9MTpwj/IoSr+bJ4D7a3KLnO6J2NTv1u8vGPhw/tCY6D
Zg3VJBekoeMEVm1ikRvjCP5HgeRGkdPXnKr85PJ4P8qzRAfU0ld4Z0hc4dSGKMbjurd2Jof01BO9
MnhTD1ltP8pkFnSPiA4Ff4D0ol/EYltMveHOcAuyGh+hlnkfsil6lC0O3RP/ZPjMo1Ax2dTMNcOS
ZwDYMLW4HTQrmIbR4HIuOJA0Q7aF0JAMZKEzfhdW4aUBFHMg0sHodHdc0w1+N5pL1uHkWTnBFnZs
Aa9x12N4GK/qD2O8TwAdddB8Sr15eGqqHqTz4iQRppwpeaWkll97906CanWCWyvwoDTYaKraHUND
jcNqAsNpqn4dC/H40lN9Pp/uC8jcAyND40TXPU7SKElVbjbs2f6NGLAV3Wr5Ocu+suInMRVGo5YP
N7Kezm8GEZ+5laj9fcvbTfPBmRLZWjU42up0PKK3lAwnGBMEpS/kvou0zcpIM5RnF2SRIw7fDnpJ
sE9sRboIYbdjKyvjyhtv3vKF6dPSP/aiFPKzNxxSoU2PWFPFiIqbJDSH/HQxLH+G/vm1av65jJlX
Ocqz9WFbTBbTHetiyonSnLblahy43QuQclHac7LP7PDtXdzJ8RADO7FpeeBqYTTBq7DvZnHDwESm
tw61fC339vjo5rup6Lx7mCI/aIF6Y5aErO/uNcidCBm/0rt6LfO3MLZAvsLWmPyjf00YEP3QQE9J
thj3Kzcptv51K9jLrZLqRdxYsbngr3PNL7/vsFjvdWbj3KFcnY2NHaJVUWzvJBFnJ8OY4MLAIXxY
TtPlgLId73dzQch+s3z0I41yApuYU193E4+/qCX/roLleQnkI6W5da2FbvTrUPFdvPWlpi5hF0oI
r41YuKtF68kp5wHP95IP5i+ZhJ+ZcYQYKr1h7Psco5mnfciKO1bLrXi/plG1XkZhfsG+JnvtK/C8
uIhlPFW46PUJf9oi2pt25qccrKnn75yDrWspFFceeWoHUFKdWYkGk+LindMJ3KrwENaXlnvy3bcR
FOszNeYvQgL3XxJbXZZ+Tap/JMW4I7Zl7sAPZCWh/46l5jkHx8MPSO8Xc5/12h5f9dvIFQ4nqhyF
jyYTar7OwLxm0eXqdnu18zyK5U2GJkutSD1hE+FbhOnKHao5jCbIXyhVs/izEEPdK/a2Kvx2msPv
+5LVMaOpinExdZwtGmf2ThwpiYdDbV/avyJfHuQMZjF483ZdOTI+KV/xMJP9HrC2O88wG4o1aKea
qMSOyQlwat+22O715O5EeDdhkJZiHic5K3W+dMmvKgqwi+DmAqlh79T1XygkpKIHFUnRlapvkDUo
4jpBqlQZfEhMIqhwFhUb/a9ZWvMiuy+cpXfBWa1d84cESCTE3tUxBzZNHl0yVEXhEzVJAwDOjGOj
JniWb0fq/ZacLW5QC64K7RROfp+krUtp3/FYI62vvsKLT3ZPajRiS4RRs94OI3o76MxRFi3GTXIH
XBymnwx9cU6yeMk2iwqbv3gq+vy4WXplVeRFTm6LNXJPHHpr0POeRjZCGFbzeuNkXF2OyuBsFcqH
/CemgZkKO2lY0YbcqLhK0QotawI5TwNmHUGQtz3F60rEiRX0NyEK92bewyPelZAuBXfGBkYDcDM3
wTn42niO5xS8xR4qo279fTA7r4dg/oHqV8Ceg8Roe2ItfkWybOGXGOnZF1XBFZ0HdzfHpQuuELFh
voxbroirrdw70lIzgiQU5IofvbjdODsIJxFsDIFezSWfdd+i19ucazKmJ59kt2/1SHTkwdJnm+MH
H44PFzwjjZRnzOUcnWug6Y2VT1cJ3oui0qGhZKAeH7OjtffRRGmpPtP1LBYTRPFt+RUlOHflGoIP
gIiy0Shm7a/YWPTPZ6P/kjweMWR12Lr4drPMWmitzZ8W3fRQSLHgayPwlHcD++sFF4WBUbVfaxXm
tdWL44RoywizNhCxi3z/+jpuWhzNvWCM1mkYYLPjNpKsSVq6XQqUUyygmzzO9e45r8/Eyo9Sipw4
xgs1DGMAL8bKUiSViPldGBHiRKhykVIgNkWKLq57tJXyWzMqeQl+16y/md67tRppoRDVWOLXZVmw
Txc43gSOlY4+9BvORl/1BypFIlSxrw0cB4AGyRckS9CDwZCr13GslTjGdnBD1WupY4vbqQwCTf+p
p+8S7dSuzV+W6eGVq/gE438StGMlWNGK36D+7MdA5nJj/gZg4TxQKWqElXGNfHwidywlNXYNuwAY
bVoGXbJvuXpfsIKuKqh/Spn3DVXT3zzmdss3ZtuIBo83TZjgzmZollZ/qY/5SPSteJ0IjOUWt5oe
zdYPOy7FyQ3cXOI7e4fdNRf/Dl1SIsiOs8pySvjDln0Wp06H22iJ/0mlc6ueaLNIwzmtNBg7Ei2y
sQYEsGx/Xfc+S2syn1q2pdqRaDfLuspMXjmibZlTg3na1ZD6fesucb08KLiVnamaDgL1XhNQBxBc
dJ0ZMbWZ5Zt1xjyEpdsbSlAKPkbH1mZT6qI5NZ0l3b6uS3yD5tASQeeQtgJdXsSlZ6YxfEbS0eoY
9aG0ZZF1OgvAf7HbNJdT114Tml/MCVirX834ok1hNh6ZNGplLhNnjPgqORDGI9EUi9PAsK1H/dF1
qasyJ5Ot8rKUJFMpzhw2YMyH0zk1kQRN+TBOjOSzMRs1zyY//ObEvE32u0PIXsyYmowrQMndfT7l
9bmooOXsxNA6fvuEYk4jNfBeTARno/Bzx7jfx8HiTKJyU/p6K2su2HeX+Xj24xZ35FeZFNmb1PPN
397kIXBQNRSQHSaxxCE2apiRtxrNPe7xz1L6YTtOQpY9Yk/KtPSM6tTwdz6KgEhXfyZAapkP18aq
iV/2pXoMIGaD3tIuoEaSC/Z9jt6QdGcwRsibS+TJlVw/tbgvKHhKW3tBZU8x6OXj4/+CJM9vP9ww
kEzSpX0Y+Kh5SvM0HQepLZjwCL4w1/RtFd9qorXnbnRGWnk0uiftjWeSbsSgE37OI+EzlKTbyixh
UuZs2+AnjIX9gQ0J2GlvvmpvP8V9AkKZjEqMeA6c1+d793MMFAHY7lLG9sCFW4IZKPb2w3zqvRI4
UxpCAzEVTj4kBa7r9SVZt3JSPTgxhHLMD1SoO8fi6gqRR70fUg0tc/p6rxR+amPAdoRfhZ/LEBte
J93gtbfkeVe35s9Ezi24n8wuOwWXWcACX0eOuSHV2/Sum8MwY8Xw5Mq7V00lbzw5yobQqjQUNltS
RzlKaBZEUeJJ3lLf+ERzeytMzvflsLxqNyxJDZg3V916Fgmjyxq6HSJXc6DCyepYE99eUJSheFY6
BEhCZ838+Yywk/vtIY1QrIkejjXPwu2XEj90MetK0VVS/Pjo9Z7vykSKLBqvhv2tZh65BytykzyB
+6v6W2kSIobMw84STzY0cOTlrY8QzoUBmEpdW/gNweaRL/Rw+0YYlDP2f5gQVEf4L/qMHXsEbukS
OpY7t3sKGqFPFeYik+4RqRs3j2aJnpakBHUJEMch3xHOvLy3/JbI9UNrnjUgnSYAeyaZ+yzRGFxO
CiycfE0lhewVWixDXf4scPi96RPBCsDRUcOxFsGItLfEMt4gVnFg5HtbntwXu2PlHLRxw8zyrnuN
XCLjOGTZ+u/4jx/C2U97lVL6oe60Eu2RMy1jPNuEcc3C+2YlOBoEs0cE0M+dVJ8McH4uYpTmKUel
1EpLtRKcfhM9aXzDlJCdY7cVzcLISzcBvU5BeJjVT+mODN8pGfbTU1P0fjWnW06AE3sp/Tq7rqia
PxRuLjeei8UOJ9YVxcT9USeJw+ztwhJCVYw1e/6R4ChQ3nFdalW5Pn+Fgd+8yYJzM2iqRhYGYi3B
c1HeYe9981Lkfj72+zfrQuwaN30Z5s9g/6/RNwh/JDOMKzIbyRsqEU2pm/eTIuTwwXFIw7NX4wSN
E2Ve/ILLBHNhHXY8NkeKgWZsVTfoDoLFeQK7D0sqLEg8blqhXcz4qTTzEh9bEcnbuMhp4sgxFG67
+zj7JDddAV6a70gJeZD8MD+MVQQX8HLblKZtONGbbsTJSkYXbuO+unz09Zl1mWb79cBQC1g4uVDP
Ix7bCO1YMnSFTmYcYczzFyLZoqQFsAVnbez4Jq+KU0oS1lwdXyy8Vr6hw8yFdp30hhKUZm/uqmjg
+wwZfBf5Kam0cLz+2OEeZRyoUJ9/4/qS8kxqB7TBbcd8i7PNK/2rSGKFuD3+0yemzVPLUZRcac6X
77lplO8WUwqR3+UwI6eodJM3kzi1cbIgHZEZsozqV5Tx4u9nUMWUp+t/HHFoM9/43HX3JuNgaQKV
w1GUO4KEfrC4Xibxl2DAU47e4cHzvPRjO4Xh2TyJywNalZ626oLgwr5eU0a5+iSKvNK640kCkLtS
kzQ+SrueRhnmq8dg9W+yTP7zisYfM6Knznl0tOrQLMdTBdh51S82Q/Z6Hhb7PrEFTD2pVNvTdGCY
ZBK6FT21anMoV4DzKzSIcKpn5eDPZMtgjLaMjrHlbqdGCi7j3OIt8jEid0Gby982fSInVaUzsc3S
ufoWGPWJD1CwhwH8+WrT8kOv4APpoDDNVAqbE4120XcgKaAHiGsJ9XmItcwtn2QRI15Ji7rA2Okv
Z85vl5T0Wi+RcpZJGX2y8OgkW6HjT+18SRYkWKD8eBgOD2A3eej+pl7kVJxxZutmERSYISrZIbuR
0Jku0Fjg1LTFnxXxijkVWUxEa/SEyTcwwbKr8w2KtKtGt4bWhtiVT9RBXSdl+CEGEgA4x4Y2Rmd4
z6bILTMyizQr1ppVZS+od8lfdhw3YdLUNIyL4cVIi2+l50uFYTrswea+tuoHuCW+xLvAEHDc0D9c
ydzRIV0lVBzqTfJGYxPFmDrswUhmnk3r2krQtZCchvYM249HB87aZ0q5v//yiUStp7xCkd50oW1G
XZFqcNK282qfdUsy34SiP4GCO2uXbvzFXhOuwAuyyH6ksFK1+IuuJzoi10mpjF9p4/U4PtsarpXT
GBisIbNms9E13iupW9otMNd3MPx81I/mVu8ty2HxF3GP8JpReaD8lnmbzbRqFDWhldf27dHFdVLY
nd9cNTxoNS2meRFppP2wkCFSFijA1oOVi42sJbKrJlJHhzq9xidSujWrXu/LriRBsXIzNEJBaA1l
htMSD+rJsDCTkft0kkeWmRinaRrNVwcolI7c0I18zXJo3y21Z+EcMP82e3y2KmnO03MYvFBvkk/6
UUY4CTp21L2mYvW4HJx7P+t6kkxzWdNyqOVCzzo1n/X2WO9uWnGmNduCKwL5alPnzJ7t+aHnveCb
sfJOJTWjoFEzsXbXDxIokYewBDwYCn0s6HDkUKLe23LyKHRRKzR9OGOvItFJxLhonzGzbjIJbQo9
ZW6obrC/Wd5IhTVoFbxJbrapWmwsJyn7eXcjU6pa+FKminjPAYkwhgnXYEil9IAoL4RXC64hdDGP
NLqXqEF35vGGKw5ZeNbByvMWBUtjG/pBqepzX36gKlu9Or2Ayemo1xcibCQN3astIr+rznTEKCiF
m+rSts+cC6NYLkcuvfM5koAm/iCx/1LtxhKosNTtvAZOSmwpqs6XfufD7sCTctxT8l2kYl8fgCMJ
JjFzGkix7Xkw9lT/gEk5sPDR28SkjxFFFRomEo0d13G5SDizhl2iZrsuPsihT9se2oLGCkjbdQMW
r6AyHA7ALVjSqhbWLd47n/3o0q/XOPY5XLZ6dLr+mq431yh5vAH4Odw0gwHj+VTeSZ7pgN656EOz
saxewEma0AUlEdJ/gcuonoNPbsaCM1dBsX1u24uTS/n0p4Rkpl0THQFqd+3Kep/c/PM9DmpRWR8f
Xf0DjyHC45QxE9/HbNe9eQHvufMosDp97Ee4R/R4kl103bwUjEKhxkTmzKU1NHXYKMjYzmdpQUgN
P6FuYtd58YD3YOIaW7+5xVF/Sb1pM5btM+nTYNrguduyZ1GpDS6fbdbgJ1TVj37IB+KqfvXWLAB9
t8eZaZxa5Pz0xMqXyw7FT6TFSq/GRwAEi7ARe/pQ8YI5Uq9VCB7ddwn8plTAnqzcrTrmOxmHuC5U
rUT38P00VEGkWlECtp54gw8jmL22SB1ESyXpevpNY+pDI+IHzoIFZySL+hhvA+YlBCTfLuwPNUju
pwH0DS1RRqPjoW7nBPW/7BmEZOWiMfO3T23cSfaRLagv24xn2Y2042k1PyK+z3LqnzhYYVhZNOTy
hr2p3OdSGTKZufat2+VQ8U/CyLO3SoJZKKkkLqwA3RfexzkkFLtizlg0aEIKfqVheLJWK9by1J9/
17ApJwzai56zWz+e1/sosaCSKSMDVOs2MsBfe/Sx3F34+OuTQ4Fr4Oo761pT/pjdtfFI/+in436b
cmq2abp614U47hA71mX8hfc+GT8/XUIVR6wNytQU4lEXz15E+OoBF8/7p2h07msfCuZSCOb2o4a8
+94ryLY8xiRruo1KmsXH8o7JlDyA+iVQTA32z+M5wkr1zPKdrx16x4pjf5GQhk6QpwCfhrUzlLnj
WdbYzJ5Ut63MD2Cyb9wHUT4ewq4O50/9K8XFPxEYPdVKkNfuNPTFG1x8YXMCVKlSfIFX9YNJmEkQ
odHaQFClZoPcgNWqeqSlSqEw+969AcitnkHI2fcRRzpYIckHyyUVQ+R5tqt9MjZLPXSIr3etVDxs
G/w4GVZKuOVBU4vr2rkE0hoLRs7JQJHlkwDIy98dkh4FmLLmTZNT6RALdCBL20dtYliXnbt63fk8
+VZRu9pukRygwYvhDl1Tm/vRD8g4nz9epRTcXDJSkJcPKdXYufMe4YNblVZQsprzD22YbraZck8t
YqnIXC2tU4Xsg55lxdR7NDaK7uHiC6y6vb0XJVR050zua2O5XsI3E9DEOV+Do/UgZnmIx8o6Pxvg
SOwcJd014itIkKZYKCrWePAuoaAX4MwU6t6bSfkGPw590MljV1cwdE9yzkVKCd1gHCOR2XFuqsbG
ZdPEPP1xp0KtR1vdb6yKS8eg91LkpNj4sWVxEmlqf7av+iDqOGODl0N2tG7GYEnLoF/mnDymcOEo
BNiiVu7tE9gkSjng4daQ74/bLCN0XE35i8mMDf6gZSeZxRhXNb66Z1iuOc0qOo5Lm2Gj1K578IJo
C40Awd1lL7zz7HA2r9uQZHhZoIxSClhg2RwUSEChsGHxcLZZEkzHP0nOAMFAVijZsIrcUFYTnXjo
fhge5Pc7by8ysyUg5AuNIe3HtEc2GYxqQkolyl/za/+4q/o9jEg5fwBzqIRXJet9R+TarnZBjRa2
+GebmebXoQ3KlAKL2UXZVqyi2eLi1t4+RqZMVDmJd2ioS28clKcbdxYzX53avNA1+0gyXkp7Sl8L
DV7KxGZAYhV0PcXDJ5VYONuS1kVdUHoVZrwrgbp30cvBQ5tt/zHbX1Ly7eUDDTs4zHUD/esu0zuS
bj+DXo3ZrI/s5vShBHy4XCOugRWiQFDIe8p+A7c7W/NPz2miHDaI8mc+XkbSfbEfF6Fvfk8VTMYc
VSox6rA4ogW/YQ1PhjnXrE5ldR/pniE/z+FLhG0EC1KX9aernytWWJbfftkpUy5OQVr3kfVVoqIJ
h+al5Rru2lXeYYi9lIfJfNY3RBFdbOJpQcqrD7cIXMcrziMsVFDVWt11S199N2kds3VEz/ZL1PS+
7NORd0muT/h58vPQXtsgi8XiK3Fjose3gwfFGl9lid+M95M5FVlu5LG9iW7I2/5hrmdZRpMgU3vs
PREv4IzZFLxYPPsl1y70egn1OiEcsiPVtoqWYp9XN80l7fxp/cGkMMZbeqcbrBbiFEgaTopJyLeY
zHegskzXyrhCXaCeMzuYkNxhq5ioxmYoCRNy/1a2JXSWje6xaWd9uVBWd7N+L+MUQj78BH3yTNwG
3bLD8zVuQYvQTacoehU1Y5f0bf8480DNj0897ffe7fEhLTkLyJvF68rlTgo4j15Gr4Tyki+CZugA
XNtsGgDNOxdrmVIQ/y3Sdfywb2q5peJBhL8zHKT8qo/ua7bny/XqAsqZHV/j5veZ/chXg5GMgu+Q
wDbFk9PzI6NTRkzUwltz6cW4pOcxPED/1Y++sugYbxxapU1wyC7xqNfhQkie3zNJ2ZBLQSVEzixE
o6HauaZ5YjOERtXH4QRYpf05bHV4BiuPXsigCY+sVx8MOO/VvLhivxuigZSEubfTK2tT7Nvmg1k+
OvhDs8MvnjnQ1OAi5nVeV2wkBAz7bNd27isVQNKv0uYKjXXFxNL9ajCI1j8vC3gyCaYEqI0xHBpP
443ZxA1CCsdkHe6wvY1mZBtJ4DN5RBNXZJX2RBCpdjJLaLD67smLr+U1p/7EBrAnyBgjeHUlSP0L
18SlrgJe4hXTSLjuJFg7/Mnb79GzrhodPXmf7U0z7outKh9MaNsOjheVtpepXvtrdxQzUWCUv1GV
KltuZvro4LDer+fTeleh/I1BK0pvOR+17FpXZ9krssMhayFJsp6milNKRR6fn9uDw2MyS80cilDq
zTV04oPwn0cv9o+TGlKhl30bWHwIqiN9+U5oY0e9gsrf6sA0HSQAy/HmuUFU3YegpeAedj88Sev/
kYcjOGF8LeFc44ZyJy3L9ng9huxwyFSdy0iY61xM5Y6z6KvVQ/FhgYb14Lil+bzabJ+MGo/zipPy
i65DPxN6TblDPc1pnZLfN8JtspVXP9lveUVs6Cu60l0GzZrUtveidJE1zkud0FLyI1XjWHLD6KuX
d3VELuMUIHuMv6KmmAxmoZlyBfJRuGWUS8hNfQybHt38594v9yxcYsETJRxJWlXPaoY70KxVmKXk
i2FuXQm+3H0gHdwJ/EIpFsEddhus7rkgRXCRZ4Jz4ZgfXqqSjynEhiLaTmLv16/LzJOdzsJMSrDn
q83KkjjOLBGbQcIqjGaC8bNZQjfRvmHouwSmFKrmkMJEisAnQ1yfa3zrcofIAj5BJKQxpKZcYWtF
Hj/HWqBFIzmy+0TnogPnIHj7s+bPikq8RhSoP5kJ0oPEL6Xzb+TEftTqJjsVSqFciy2REToaWaIf
sPXqQTOEOT2Tq2kDx4g5bb5cad+RM2QHsSLpq7wTfyX4EppAlhm+Z6mfBsIysQ6exa/4gPS9Lnk7
cy3w8IyCje4Juj/vIp5s17ci6BetE9y703P9QT01oVWLH3Gd8s9b49cxoslA77wxUQHs9XpIYKns
B25kgkbZjZj64h+jgW93Z5SREIamQ1KC8xJkZDJ3GyIY2af2qByfs1h7FukHnhhaKy1G+3QH37Po
XrGmtrDWJ5G+9+YjLVKIY+nQng/VTjZR6uvDRnY9LQqAAdqhu0QYzeU65bpO6uPAxBjEgOLdxzKT
YUsGNkXMiEff7fIhshn7u/1oTOvSV5N32U8+CHu9VZuopPAJdHrYGk3TiXR5xf2WNrmzBA8gaqEe
miKhZEHSyTZoTe5BB/lOrIDGoZYVLDEr1GEWaX4ovf5lMsMoe8sbQPahw4d27HI4q0LPWG5cd8Pp
EHvjK6802lc3ZSrchXfbcUMWeka2pu2bNBlIxBU9r7EFftlClL+N49dlD6sGvVoVqYT6MreEF9es
Ly3WthIFU6vFjWAT+DdSvzrJb5lpcOVvwkMJUMpS9rdfrV0zbZhJRaXB72QpW0TFTSJKkol6sVUy
kqzjKwsOWSkriuM8Wn/Sn8AUNX3e8TJYQHZLoKvhvpB1E0fDeqzL/6EdNlH2zKeMb7wjI/yMEylX
ro1WlkDuxbS26IZJ1mG1m7tTIvrWYOpy7mcXjCUiqkmY90fwXpXCEQ8Eez+VnbXGHN2iVPfsOsCA
2bR7VHdXKAwPOKF/86oxyC9g8xmWo4oNoZ1X4RRtOJ8VWweBE7EHr0/oL8eBTcWP9kGZTpHfNM0/
5Ya+wsK8JmXCzZB8Hjt/8qhEKC903syaytx+r4/rlR5GGjIewv4LqvHmMUf+XN66p7HM05NYeVJZ
3aGyVGAxoCOwa6HLezFASSZEWPT4A2hoRcyEQuOn8Ing+2BA4RzV6lXZcF2b5aUEtZZPfeJdg52y
AsEZTscGL8WPiK6EOibt266SF7qREeUMFnZMrFIidbNzZLa/kDw8F636mpuIpozDGt3d0k4Fvmgv
PhdKEQR02X+QipRZ3YUp9X6yRS5vqHCH+2c2W1WRn8+UAkSDqSGYXx4TNQNuWeRmXzNdEgo2eVts
VOb2yb3xuSnJpms5x5a2vcDL4GLSb5X65su/1argLAhB1qwffHhtX1D0Qqmq+y2q5IVxk96WZR3K
fexq6AYB1ZkOq7/Vck9Q0xv5t4lV0RoKzEOCGds2PFLd2ELlIgT7BpOfk7+/jLAkT5sYX0/tOvbL
5eoeLYkesBr11w9ZzGzakd5W6HtQI/Ih0HGKzxEMvIkdqXrPIR+f/bAsNkChZuiaB3w9iIMp2h4m
Pxj1VYH8zF5yJqZ/CNfHVE+pW1/q+c1yZO9u+M+Io83k4AcBZNNRtv6h2tY2m/mzmp9h4hwApXMf
bxFl1CCioiNpdBL05UK6D5/0Lk25x4sVZX51BTl94PFJ0sBW31RijSHcExtXVwr8pD2Qn4u9YLg9
e7Q7PMJFM2q8SZJ05HbDn4v9InUnTbz/pyujgdpGyTDX6DguFIU8UjR4VZcM3K2rUddNUW5yEbOZ
bwl02WGJnK0Q/jnu6iw2S6pOX+ByWZJAxQp8aiP0pbN3Wcu6cprdkee08czHWIE//cU5D2Klh8yX
DQCzkaeufkcroh1F9hhHm67qXJCZ3aDm+PBD8W3BWzL2qiNhRh5yfGDFyqPyR67MIioyRcp5MVzn
mQiKCddGx0dJkdjuNeB7P5u62rX4O2Q9M9kNW7vrgdaOEgdgwJhLyi084aTP2t7WBq9owlhsqZ45
8rHxRL3+m2Oh+pT01aouS2NWdBhPX70gmqiFBsriq1OVyw0bJe+6Q9Odrdy89NJD7+hE0cLkxNmb
yvmsUks2ypAXr9/OFyQ9sfzkRSfZMsz5I2vHHAt/nEkU1WAX8vrrWk4uhtgY11NxJPPcgAF1VP6Z
oaW6d4lRwfq7HaQyG4bvThpxPRILOJTMOVhmFTJL/BbYK0Omc+KOgXLb/Q3aIkMEK+W3bFpdPHn0
ffq2mmF9NCkFmhujc8JuA9MHgWHOr82Dw6daVkkpUJWAoWu76kvJSVIzychuuKhdeTflW55ZAeG/
oBUyQQvJv0pGn85WMGGcaI1/CqkR6nyjE4VGxt+5mi9At1wGq1p8zfU2Ib23NSv9jVJgs9OybNzC
hYJmN7bybp0erjQHa/lr1XhAwVD4RFzRxNpyrcr87uo8F3TdZvLb4R7ycRhTLLf89LhQtCg2aRB5
Z+vSSyVNmookRuopXDWFmaZqjB/EHsFKnG0mId3Eo8pdgIEAH4D8YxIH403nTVs1NKbXTwBVUOKt
cEQDLpbmsIo+3MGNpJtITyt/KQc8spJEMsLkgbnRrhC2mNzSQwWYjx8Tt/clrdQx3PuYKPIMJ/JJ
5+2KHbx4WKhRuWI8P+LsMmB/OITwBw55xCx5tugXS9FSZyRaurhyZ7RP4pH2y+4HddgH6YMIZQ0s
E48ba/4c2mtCwGPj6XLeTcW3dJaGr8d3yhMq3XSpdzY+FfxruxqisSbcjiNzj+yz89MWiOl48sfQ
VJaVFW2be/6gfG0dCerK94OES+yJTuvlw0zC0wudbzOf1BSFp5SuvzWLKMHwSoCZ+KgTEkh0+qED
0/dVzBgsugs9T0u44G6hE/TYAAmRtwRqLXJ0Vr5I/K3AVZC2f9JxFjN/IVHn1+ujGNXjNIfnJPUu
9adEQ8VX9WhvJOcY5VOsxOFHnkmV6D+Nz39OTcR4W2Dr3Vp5JYdQBKERL/nx4/FQG1wLVDPx/IT0
8MEmF6BcCjcS2BlPwIk82KiEb+60qe1RGinS4uZVOOWnuLlEtH9ybYtm7+JpqDPbdLQi0ZoeLIJC
r1NYRYYy1OsxH9pr9BkZ8J27XnJ0/QzSppUuEtYeacQ4ofMODEO2cdv//jQhGfZhsjbDOcX3pGrs
KqmxF1ezPQBPiZ0Wq2dplDiasN6vl89fMhUi1MUM9xaMU5imDfZ/EBmWv85Gfd7vwPByWwxf6P2p
ZHivUAvOcAVPQZQBbmmtqGNZ9ZGz7IfkZ79ScmVuspWkEjHNxYNkkbe8193t9GG04hIHM9b6635p
bWjvYzZSpmp/Or9TyI+aY/1KhSrx1UR9zjGZQ216yakoA60nqylF3sc3X1mH2wnhOGWbW3aVB3aD
z3Y+9VQp17dYq9XEjKTT8oJ5i89SviLU5Dcd0f1A55L4kisyTF/paOqDc/bq6s8slXOFb7z5RrhP
mO2SJ2vbJN76uT39NMmSokXFyErwrFADoNHuyX/ZW0/Ee7+zEUSaHqSJEt0d0MNmUhVq/TlXZBmT
3isYqkIXXicTTq/avFEyH7tUDF1H5Zkc0F5zPByC1X8rePKRwslioW1sx3PFS99ytPgec2t/P/yT
KOkNu73CvGfnNzlMdzpLPWjoIocYXA9I8Q4vaqE3t5mG81X2ZFAryjCG+9C+COpcyvmr5beyKb2F
p9xbi6kiPNSw5ISQoZCJaucL2LYEfAxwLdBuPRY6iB/ECqdKvqILuO4yI/TKR2idOkxEWw/jOKb+
eOrs5z/o6n4RmeoquZqEf6aeHBedN0U9u7b6Wp3gaQdJaZYXn0Pt14B8HMEa5wTAblCPReHECxIf
u1lOmLhUyBvVa3lWDnyHRS78c8qOxYqrPmfD1NOYsZmXwAY8LwdpaTPAluxNXYNBFq+KLQP3Hpvx
y8cxJrYajAB+zoS6rx0/dTpnE35FpYe8CTjIA12WCyzXL0wbAKX8+R0BaAavXmzcDqMqlLyQEbD+
4aYouu1jjlNRgxTvSz4t3J4ZYTAiS/ai6IxMBAExIOQDvh/uclZyZpxrIlXr698tmtqcueHDOV6+
ibWMt3fTywpKMrNnkPOufBeQ79qGOhtZ24bu4Pbm6kvuomC05h6LGA39ctPpIvWJMJ30FVP7nEv8
PWb8qHn6k3qCZ3wmFsTAmyYeVm44X17E91jWiBx4rzCYagGBGa5y6rgEVIvArdT2r955WiAPb2Ah
ztFYRyuPjq/PPR2nP/LUOlr3vlJaNXqXexz63Pgz1vXLEZTFr3jhz9PGY5Fs95Vjpj4/BCFkmNS7
rXQ7TBwMsK3wA4Jj52+N4deGU0/ooDt3CzStbAmn1YIX9wWR2pRfcJIr/O39Nr52Ywj9Ck5E4/Xy
UVxjiawhEvj+WgcPu7iY7IAnf3XC/2uiYE7dAOnW8MMZlzUnYyTMJK/pZsNu2n2Bkn6Q4uJ5H+hO
sErhuZeP2PT776/g46wNWxrpKt5P9SuMpK/VS81+MbFffCVlTfIK+mFe0b34uZNuZMc7clJdVozl
p1yltk9x4/8BH2YixwplbmRzdHJlYW0KZW5kb2JqCjk4IDAgb2JqCjw8Ci9MZW5ndGgxIDE4NjkK
L0xlbmd0aDIgMTIxMTgKL0xlbmd0aDMgMAovTGVuZ3RoIDEzMzExICAgICAKL0ZpbHRlciAvRmxh
dGVEZWNvZGUKPj4Kc3RyZWFtCnicjbR1VFzpEq8NIVjjTtDGIUjj7hKCu2sDTWikgcbdXYIET4K7
heBuwYITPLgGDe6EuzIzZ2bO+b617l37n/3Ur6reqv1WbQYadS12KStHC8grR5grOxcHpzBQRkVa
n4sbyMnJw8HJyQ1gYNCGutpD/mMHMOhC4C5QR5jwvzxk4BCwK9QRJgt2hQgDVRxhQEU3eyAXD5CL
X5hLQJiTE8jNySn0H0dHuDBQFuwOtQKqcAAVHWEQFwCDjKOTFxz6xsZVGPj3K5DZkgXIJSQkwPZH
OFDKAQKHWoJhQBWwqw3EAewKtQTbA7UcLaEQV6//SsEsauPq6iQMAnl4eHCAHVw4HOFvxFnYgB5Q
VxugJsQFAneHWAF/twxUBTtA/mqNA8AA1LaBuvwpaDlau3qA4RAg1AVoD7WEwFwgVkA3mBUEDnS1
gQC1FJSBak4Q2J/Oyn86sAH/+jhALg6uv9P9Ff07ERT2RzDY0tLRwQkM84LC3gCtofYQoNorZQ5X
T1c2IBhm9dsRbO/iCGAAgt3BUHuwhT3kz9LBwFdSGkCwqzDwr/5cLOFQJ1cXDheo/e8eQb/TABgY
5GBWMo4ODhCYqwvgd32yUDjE0tUR7gX663LtYI4eMJ//kDUUZmX9uw0rNyeQDgzq7AZRkP3Lx8rN
CfCP7Q3EFcjHyckpwC8EhDgDIZ6WNqDfB2h7OUH+ELl+m8EwKz8fJ0cnoDXY3gXiB7WG2LtAAD4u
YHcI0BXuBvHz+bfw3wTg4gJaQS1dgRaQN1AY4J/sXEAriPWfrAJ2hUM9gUacHJycXEDO38/fbyZw
CNjKEWbv9Y/7H1cMMjSQVVQzZP2r5b9FaWlHT6APOx8PkJ2bjwvIxcUjBBTg4wT6/XcedTD0rzo4
/4lVgFk7AoX+LNfKzek/Jbv/NQPMfy0IC/C/c6k6ukItIUDmfwbdmJOP09KY8/f5/4/j/kfI/9+U
/87yfx30/63olZu9/R86858O/x8d7AC19/rLw9HByc0VAgeqOFpB4LD/ddWD/Lm60o72Vv+rKbiC
7aGWUrA39n9/RqjLK6gnxEod6mpp8+e4/GnX+b1o9lAYRN3RBfr71wJk5+Lk/B9N2wZqaQeDuLgA
+f6UIDCr/zlSDmbpaPV7y7j5+IFgOBzsBeAEcgG5+fiAPlxAKMwK4vnHFANBHDBHVyuINdDJzdUP
aO0IB/y+UX4+IEjqt+lPEgSCZP8mAR4gSOEfEgCCVP4mQU4gSP0f4gaCNP8hASBI728SEgCCwP+Q
EBBk+Tf97hhk9S/kAoIg/0JuIMj6b+TjAYKsoe7/6Hy/ZUc3+L8CeICgN/9CPiAI+i8UAILs/oWC
QJD9v1AICHL4B7k4gSDYv5ALCHL8G3mFgCBH2L8q5eIGgpz+hbxA0L/K4uIDglz+Kfs3Qdwh/2Tn
4wWCXKCe/wrgB4Jc/5G5gCBXGzjkX51zAkGuHo7/ChAAgtz+hYJAkPu/UAgI8vgHuTmBoD8P+69R
snSDwyEw1z+WHQKz+g//8feGQDwhloCFWUdLkVDbz6FtN5+kyD3Yt8fEvjFs66WzsPsswNvd7rBR
U1iq3wevwq+kUoZ6cJc25ZgvJRepH30OmutQI1qSNVrvfR/MEjUnt1sB8xPE/eMFB1K1fZToFOza
kju+j86+ukF2SM2InYoMOc5ugtjqeQQ3Hl/kPWv7yr6PhM9ua+xU8ythPJRNscfpxBoHFU8z5Fp8
mCGlRXFlp0R7iX/iiTN9efUNP3v8iVoxkRXgdxjHU+hjuMYdfzvjvVyhze3S9YL+hSEpJdIl/sgk
o4/0j1RFkjmfkqK3iuExRdaUprON4u04YGfeGprOBdGy4fH1YdI9syCZMpzNyfC3lhobDNJDe/Za
2R2k+Dm1AsVTj1xm+QAXjY7dR2LvmMrp9/AQiX471yN17oiM3iR7qtBLZgmUjh8RP1Ln+Odf5PX3
CflPMdUlPQVIJs5zW+S6GnX7gD2xjjqeCdyc+o2Py8PQPhpdaBsciWtPIFAM0YG/ctnQZIugmB99
1Bvsr8J/shNHJC+Nm3ymZDtSs6rY6Y391Kv68cAyRGLRVHTnVhLz2dqcs/a2W+i8VZkRZDI+01ZY
sRv2fFjpPpqOWyvvk9G7g74P0hb4EiMVKojBjqGfBapLwOCC1Kg8JrKmiDcXxdfqlMJjdZOlU5EY
e1bV0lZJvpMKZRPHYa9NPSJVcKrKxyF0srI/uT6U8+gl53dFcYxMnHcqchDzz1VNU4qma79QGTqk
rRcPhZMyv6hQDR4g+piKuRFClyXeaGjbfWWTN1TPmq7zy6P66XQT8FBHn7DVO7FhvK6nyiFTyKw7
ZfxTdWeHIqe9p4kHDxt5WkrizN4M16W7VCVcvfG6DKMj3stay6tkfbbTYg1vtNdcyI3SKb7/Sn1j
MOGTqht8lkVZzM2mNH4meGpQdmwht6VbfTrGtNiPtLGJGrmraxqwxV4y5q3zcvQ7FU/Frv/V5utC
D5IQ720N4WczQ6it1Niz66Mc7yaJLD1byojz3UnTysiYM4PxRQ1Fo/nnM/mUvk9n1iJ+Y/V+wJNv
z+VEZOkKgBtUJEcLz1UTDlnmIRJLY5XmCijozgQ9Is9u5+g9NWdpmmDVvxf6gmxomEXp4GtJ4hga
UZMQNBSsYOwQrooQ7g/LeLe/fYR5lfOC0/jFo7UyZhb8+fzs85S2ILUvT/5oi8ujR/FZlV04iEgi
iKHMX5kWd6iD0rqta0KwHkCFlnppIbLpA48vSgQRQ77eafYzG+OUhLaMEeQ9/7Iw1Zn5QO90QpBM
M0FLuXQuVBurCRQTMDzzK32/lGDCeuANCSPVRTXK+IpOhuJQz97xcnWza423iJB+4Z2urCF7dWp3
Vca03qJSqlN9NeZxXlNDrr+223XhyazaQS0XUWIFzW0QhT84i1GAtyBkFzl2b2mqsw+VTayFdbhM
9xWJ5Q5PH8+n4RcDgnZ9GDaHZshHKPatRLtSMLSEVXDmdn1w45Vq1wDWdKfwSW6xUQb9aLaV8ATU
kmg2w/ZR5l6Fe8t8hA9epfz2XDifdKu2YPBurbJj1H/tl2UO/pyKOXrJWhQBjbWQmbj6frUf2quC
0qtKceT5nXSClIZ01G003uQ2SkFvyDMdNFZF0iPk2xd2eC8wRcXZXvtXmZYPIuqIV/vj4a/4szwX
IkmVz2YnNAtlHZ+OQEnjvmlLcMiE7tyOfeBCgNeklB5e9Ikblh+PrEiMx48KbqgbIjr8SEChc4DI
ql9MZpZE8reQJ767FSpyF7OR6zLTZ+73SghXvUlHZRYiK94lseKbFc1b0ectQ27lI6B5e4KpL5OF
8kmOSvEqvryjEdd4ftpEP5eQtCWVqq4q62HB/mXT9Ai5sAFFPbs4hdOQwFVKk3LLfd3AvOHHARn/
2gH7y9vLimj8VqsMroJRYVDQHfANDRvhAKB9yS8uF1tjjPUEVYhH1wfYkaIRZz97IF9V37CBJYBA
I0L9DNHLmXV9p/wUa0qxLiVA6gAZBX3H/doWBJ+YWXwfYkipjsvC+8l6llXNSd8s0tUfyJdq9FbT
kF7UJkdmxSO9nfr0nlddiuCdh41FZ8DrWx6onF9ocL0RTqHDofd1iibRDT3ltwckI7kcXh+CsC9O
3pogvds9bHb01qASsJkC8k59soNNchnE+oyprSlw18g5q7EYjePDrAynG4VO3jXlYTtj2fZ3NqlJ
dA92WlbeWvqVQvGp5oJ0MboqiKTSS71nbXJR1a7PzYbYFdvfDWBYUI7lR+SfG1q9PSm1iUhN+Bzz
9ou4p+pRad6K0+ZbF6SiD83yyoELaoU24ufZ3xzjLr4d5JR8IOtCWFQUOVFkNXYAjFFTKL645yf9
2mP3giB+1iFIiBZFFRNoLjvVbdR+Avxhw+/hI4VjKSq2UuXulzWCo44gU7iKNvUy2tdFai7t0Fqp
n/WikosmqDKuOFkLdlvQt+lPFxdghvcy3ITyY70x9ISG6FZxFPr+q/NwuoMiUKkWaN2eE+n1UusW
EdvvKgoqr8vvAW5EJFmnd/gc7i6K622oQW6qPLPLqbqv6Zx5RfP9pcCQm7Ja25iYRcCo//GD2bIi
+qNMsIKEKN9pITKGNqa3S3HdkZ+bsnmqynxgWQetwEeljm8YSMfXu61nW+HLgl5qwBifs7OEAt8c
d3MWqh4O2XAKCp7chZ0UJfqUF4T5P9Az2oBsPAGfM1Onll16P8iStK5903yKSi7s0cZqCByxrEEt
5z5MDGEIevCSNVapw9MSej1/ohHXNvMBbn0hX2z6YMzHF5FCt7ngTmQUZjBex0K0S6y0pVVoSlHn
D2vOqFQh079nE2TMFwBj9VvR/0pbTsEwdQXp4QfNe413BnR+IS1GO6/gbdJQ8mFZEBtFCNOTbbMS
b3Ukg+wvGmY5LaSQQUPZITiS6knKTxZvfSuu6JyQafk7leKwlanV9YdXvS2wi7INwy2nrv2ego5Y
GEiU55Ws1bhxlquCNtaAzKrTdToJ1ex1kKd2eEB27JkbpmZ5s1estp09sXgL09rn10ffMFeEJoPZ
37Hcdt671QC63FgJ7eusLrd46/eavEstlV0ikolvtBVRjISRK9zHyB7CdmIl9KJUb2JUiF62YH1S
RYb+PFa2Prd+NQ0qlsDIRxh554g7NmIGHqXJWcLakN53Nbn0DjZuJ8lCrlh5pwnKgPMWHPw4IFa5
K0klnkHImnvlETD4E8LHFG9yFlBn2KU+SuU0iBg/N9dQBK+WGFRPAIcO4YwpJzOxI5H3AcYtifDK
YpaueeT9CrURX+wyZS7mvoV10Q2aij97O5Uzy5TDntX0PHAlcOnVTYeHipp2QrWsi2L6sAZ5S91d
d4gPKvp9ULv2SkfjBXeV7ovEKlWX1an4+zOcgA4G6ZBFm9iz7/QUc2zr5+LZOxFk5457SmmLtK8/
jFdjT+PkAJvKucekcUt0RgWYFGuYG362Ug5kTZ5VWnKpKywnrF9z2OdoTCPaDr1isM0uUa8DcB23
eltwD1XV6AWuqLA6KDWGNvcPWLPRLoF4/PO/VIvcX6UK5IEEuivFhh3ZdzUZAqN31mCpFIrSDRSS
sB3EJ34pzr0emy5CzVdCn7K1ZzF9EpjzGNNP6FfDEgKEhy9sOsmuny7fqjzZdu2ilmRjzpMfMiS8
ekaiG/q0GCm/MejeGIwiYa4lvHYgrAhx0uwfaRjCuQnYEMoqR4jNGV4WNbg2gg2mNVReDKw8iz9A
I/y21rE+GyK4T3/XSUcLQZsQw5+xo8SgPLVesQ7NTX0bmz2MUYVfGlyHqe5BLlcvVHw5Tq/aGroo
mvdY8hRJa6uP3KrvgvSoAieb35errjv8MKP8QPuD5vClNSlrFg2ijlRU4vjXZ5hsEjz4XZueAqmn
/HTknU9gmvNoschNukGC+0eMoZQht0KSGIu8JlDyqnxn7RId8LX6tXGpsbnF+uYM/RVcrINlVCIB
VER2LRQvmuVIIK2Du3+wIFDFkcNXukkq3bCpqQDMqC0UAtOS6tIQbDJSeuJxvdkpPqhwTrdLEUsN
P4xlBxpytYXHVbctvzb6WZW59QqM1KLlLjmVD91r8Nid8qJ7tMp8etYz/DMcl8Hl66p/ljES5Dbq
5psJc/zPRYDw9hmYu6VAYpJgacknLGd7Uz579iOa5Gfh/lz7irs+F/CO4I+FDvmWKd1o69YLRby2
3KWOg8IRBURR8+bjeHaJ40sTEfbzA2IUeT8teiqwL+b1uiPmXIOdG9NPjyzcx+o0ryCEV/vpoStO
vXXcVITNyV/8FF6u1JFIy4yLe0lkqpkNISK38abhPwhvpNRYyO3m6JqEcjVM6Z7cWrCF0EYoOb7i
tLJIAJO1HL54GsleseaVNx2psEti9tntHRVeAqBl1P9aMWGHKDbOW5ClDFsGzUgQ1WQ/jNgMXbuw
4o/lBUTf9ZvVu2R97Nf6TPLhByUb2LXEC4pYczo5Av/VzFB39ornxcMb3MLswpUYxjwVv/nvJYM8
2bJ2gzbmccbZcDcr8dVTkWtosxS5WcdxFBHA8ZXZZIal3aVq1nTMDTXMPO/OfY5ohoU7M+V7RtIW
Pd0RFv/tpM+vn2gP5bsbVQ3Gr9wvdQ71KDE6A+2PAQyeyEZv6qZxj8Js+f0L8WUwpomWaJOSTO3s
ZT7/9MJpWWKg+EXNMsEAa9CbefVeDYRAqIKb4VUZMEQ4vet/bujcflS6SA1VyAsLoi/KlhnWznrp
GVLWZ3JftpvKckENzUZEdOU1zErVRZg2cdiOCtL9hpC4qHafHBRYddnG8gYB+qsZcMbA/kxRpz/H
yPqTtr7ANIiDLMwygjgmCE3neSTbtY3AT0GVPN7xfQp07x9Cwpsjteu2vxzg7pdZ6hfxdFjiSTlo
FoGeZ62bZtetRcPKvU1fsjG8ysPLkkM+XYzz4UxqSoJ8rA80ZE79yq2+dqENzl35z2/Ca/doqpF4
Wx+zJxMuW2Ot1fMdG48CO1W+sZoysaVjH/Obgb7r+djMjw79HAJFTWbuj9ju1mr5Tf06Uozwxph0
CY+eadiKXp+1JUEvWan1985S9nGWMkbQnLKhZ4kR9lbVUlRe9qKwNf345d1AEmU9YkI/BRXLlPaE
/4SSIZIU0Z06J/LbYBRFdWJ/ZnF/oQ3G3sIV9+4N0ydatBDkDpb2CH2+XXIxGyTVqWCwKu7851KG
OC7kjVl3FK6lN+4Su4G8/LUCQa+vEokPaH6d16tePHbb5m2o8VKWtBMudFgsP20XNMchuua+OvM6
26ndvjxl/Olz7qFhxGoYrZiU59wEYG1el8T4uekAY1u1VYHJWStgOmCUaMpTVus8r6wzwK4W7Mm8
UQ0jKcl/+qCEGy1MbvKlQJqmrI9EVSJQkSj65y7TnBTHlV2Xj6j6YE+axDY9yCJvk8FSsy4ofB3W
RvP8ZcjmWWauECGhYDT1kiqOm5n2h/1MrgZMasbjl8iQAlVTxmI3Bd/L21DWp1nO0npaDGEMxAQr
Ei3Uk8ryHv4qHY9LNVq5ufsAyomTswOxV297Rfupc3AmjWjDPDkJEfA2HzEyLg19fILjei9WqDlC
STGPBIcHmBoM0eu6R83ADG+ssPxbAxIsNn8o6U2XH+jkeIefIV7lxXxV/RCed8WmAJyAHEPRd5/Z
izc87FauW27mh3chs4LspXMm/QmRvMOu2XdyMDpUkd/rERHoWbbC304Q7IVFkcRKBPToslkFIhrT
ixRVuFJoa3YxEKoIdsseBjRNKGe7GPhEydbR8WLchMj6gEuNbUUa6WGFuFZfs5lGR5XkMFOZnJK3
McHfqK6WzGTwSBC5Zq2wsR++PoDl5LCXeGk7i0SN9ocq/JAFAgUY5lsydgPtQNwKDXZRTJXFHkgW
oiPSKfhXvgMiBhuJGFWd9l2vfObL2Iiu3u8UCgEImNjEQ+wPKPINnZ0lP5kTR5ESysR8OmbD5n+x
6Hum8+LHZyPugVKfm6aR7R2fC7Naiujvej72H9qMupgv05fkKjbDEt4z1inRcHC67rFUFCbgWp9c
zkyfC6SgxNtPwjJVPLb1Rd9j+A5hdd7kNp2seJBy07V+FfYdnmjjX8md4319+6lw2g5+6q8QiiAX
X+hwMX2a6V4ZVW3B1mOU6VkWHLQ+iGsQJtmYvganUCZp7GK6o+YZFjYvlBKQeeuvz2q2k96hSSe/
JaX7xdUkWnbFCqujjgZ9ljNw42WQ2yryd+8Liy2ST8Hpn8gPyuEGk0dFn1WjP2U3MJxPvniDhnA2
SKajz2gzGsmfMK/WsXt+tzatN8ZdY7pIepOAiO0tX330AISq5kyNlT8+elm3m2k90S6I33O8Mb8i
k+aX3wU8Dh5Ip1A9DFrpHyfUE17GN+vL+SHUvD8KC9uB6OG3mv3ItrfXKCXgf0SBOpaEBiW9Eq1N
IOOZzngwRPq1vKHKQLyigWLqMUa6HBLT65PFKFcZK5xnJwbEidojP82kkC6paVTwLUwBZPvPLGZV
WyuVQu08C4Fvj727HeqbgBjfeO4Wav0djuwAmvnshQGNm/DW1zUHLqmLUYsPhsXbFWUcz01+dZuQ
5InSNBDZsIwAe32zrI1eE5XZL4XzfA/6arQa4d2P3QcCohT/DDF4LG5NZfthNRlhfN7J7xiXflQ9
Pd/1o5lMrkcQQX7GCHeKANu6rthLMlBA3ygHEzcGEXXPCl+Pib9VUarkXv5SEfQTg95fhjKepm7D
LwdrM/C5ilIthlSjofBVzouObqzEREc/wpGqVxq5K8IxWrHEyY3qNlqoxGM7i+7Nj5k6+dBaRMFy
0sWfdfwmptfvThRGetsqkkPccMJeZmqKdq+ebTTQ/hTmQDrwH8u4QWOsvA9fqNdGf4egTK4qVCvv
L8YKHmsH54Lu5sJbmesAT4BOpK/fnuBCZTZN44M7lBv5sPYpBgwlf9GlYc/0DTcvsCrdqYYlieAE
7JY+1cisKLinsuWXR3iUjlG3itXu0YFGR8avFeu6KNSJeg/h5WW6YWxGkx8qLSJZLxv5Ey8fNkxV
eqa87uWtmi+VKYr5aT4zUCmtOK0lsmVuwpy6iamU/fVkWX1dvlrpyfNXffbiQrUoJ0TV50VWki/8
TPflWGByl2eGHU6Mi5vISwvDGpNKVTxfwCdHSVmnJhLh8Ed8K6s0gzi85BhsWDQhku9h4XnedkAc
QvMQ2qMHckjp+drZT54mt9bG5fqTmFCGxN0EwBOjMnPCasp/PT9+bfOxr4OmTitAYU1Zu6mIJPiO
2yuY3QaNALVsupqj9nmkiUWVO1ykfZ0v6qJmo8X7bQJ5y57a1vv6ZgfctokDnmxnZlY1Sm6MkovY
0Iy5C5aDLBPC+ygXrNQYvvTniDgsyhb2QZkqpkb2RE2Bo0lhveAt4o7n1Cj5X/xAO9/1SVCHPG7t
N0G00lFVfsgYzO8atNxdd1LO+kx1pRzKfoC3Gap+mlQ3s7ObqIYNEs7+bEjA0hNyetNr4qCcw/hY
UXeEUOnjPUTVQJwygYHuMIA7pDfclqkgGRY4B3T2PVANvnecSvh4Y5BifUWpNRdm0GDRep72JvhY
qS+KerF9TW3e3cNVe5pRT27wNIMI2TS5GQk8M7hRpF878gbL/NOiWQGzxPttugnRUGeu49PZkh6M
T6a6RAl7vgzsdHy8F2c+ccZPnI4iolR7trGqBWEWB55t8wjHZxY+1WvE+ZPUA2AeVKWarZ9Tme1f
BVxDO5gpZfGbzNuTPhxoTkmqbbzfSmE3nZAqcGMKoxGhaLXuaqEnrwDuRebFrwPawDHXbua79Vru
Vs+HjRdMhF71pdNHiOOlK5oQELl1oSQprwZ8PE7zJDsi8D6aEvp4Ur2so1v1Knlv9koq76nL4dTC
rL/zse70aXljO5cRW4P7cULccfWMdHRYBMV8gDeWbuvdSr/i5CTmFTi57Ad5qLlqIjtf8t5Sfv2V
6/Q2NBjnZr2H3HPdXPk9ZSx3HtmJzKZNbvHqkfTXcw+zIoXOdx+yPiG7gl22129Zecfnrglvsy4c
vKEuSkZq0kEbDviey600xYIrjjHjyQqWzEO7Bnkz7sQ8H1eBSDY+mVfL+uiPVSc32VKsbpzyqp9R
/BhLY95zBvH5eV6cHEr3qsVbiWgJcEQQ696zeQqJS0oK4MRsr0WlwfLe1pYWry3xy8SQmq/R0hqC
ts21v83cm6hGmUQXbrDBigoyv6troXFeUrU2xUo+MVNh0qLlDT4oEni8F+r9wSruKtTz6crtG6Fi
E3uXICMxyHzycvzZKAwBGRc97kPYw3OeFZwN7TUHn4/xjMVpanhVzFj0lOSpvXURdUZvWHw4Ncjo
457t84mX8Ko3u6rbiTKMRyc2RO0zcrJdvqfzK7BteMZX3zbu5PucXfJ9aycho/PpYOuF5CGqr9ki
KG3p1DniMnzb+3XMQdt+40NcJaI4872YK7vQBGFkOjfw+pvcDmkLWdQq1Z69vLJvLBr0acB9ed5h
J3CfWSNYwu59GrUCwl2I2hNCI9an9u+PqHTDs/7Zxcz81oMAlJpVeWJdTBz4nYYIf0OpkrMobSSb
kEvvgixR8Kl7pfYQni3+GrRG9rVD8dfhkIJna6od2zdjvY9KsYKiXKgKu/bdW/BNQmq2zo3alqBY
LMQH6VKseKuaY8x94KK5IVAyNFtts6QMeSnw0KLy7NQppfmLRfuFmfdLdFS6Fe+n2/vBXzFUrnUK
KuSxCGF0UxbbTbU4luU19+8x1vrq8wNU5dj0v3Mn7IO/VU0Ui63QiHO11OHxLZKJnBBMgp9/nKjL
ZdI4rnziBmN/KfWUHvqq/I5xVcWgUvCU6cu8YQviR2S9R7vdqhAB7fs1o1p1zBhWqQLlSBelLxNq
muafOOf4rsoK7di+p6QWmJOwbAffmFoIxrFblX8Wa3aPT3YzYt7oaMnRlyxEX4y+K9OUwPpuSSiD
G88mm+prGuwfBGREFSIkWULOzDYUMxDZeyktHZlBw8TWG2uPipPkRbnFz8VT2iN4fMCV0U3db2YY
Tt5lxLspjdrIxxzi/9aT/dFjYZwT/qOIMNluZCbmQGmJaTWEphdSiKtWvhYC4DPP11IuCneNXdI9
ZEXFndovJq/vIcp8d7mCyfVA477nezMbPNnRrOCNKZkoEQZwsVKgEBDpPVSI3CRETer5EsMttQue
kgUO35+Zdxt6Lbq0GBvuBIsakjD7MmLKEB9YRRIDuM70S9LlgwByNgYce8u4Jw9XufGqN1fPYwzP
H8Nq0NYuHMu/meTgvZ29a8H3Gr8yFe6aIJVUsMx4n9YxWp0X+m2pr7xvVdQR6O1xqNt5UDgjjgp3
Cyth6anX4o1GItnW6I8uewhqk33w5p3llOxoxeEneItg3/LS27T6IZR7ZUA1dqcxReyELZ3vlkbq
TSgKGXy32fKoOUAqk7jKl2W5RrRZ4sq2z29jSPoQcR5bqgDJbqbyYUl7Q4+pu+2Xy9xT8DFZJV4i
XoigGVfOtzRco7rECgUDTCU+fHMayp50xqLKoK9CYhxh+9icX1642w0wfU+JmFROHOLW32/JnqGR
qhdBXA/OvQsPLo9pKVAl31rRoNfDG02CzjhzFMT34PHJsQ/WbyDHpFTizRjvDcNd30R9fqes06x8
t8snXg1T7+oukuyAo0P5D0leUi5Ym/L/EN9/w6n4ZMe/2Vw/av79TiwOk7pQrVl8Wq0igjZnu+l7
TnADC/2r28VHvhds4t/1uoK4FXa/fxCu6dIFDVHv5EMJS8gu+fukcN0zWasExvDa0Kf1DGuw7k/a
RLT6MwPlvnx+zkwf+kmtGEyar7/6FcU8jNF5RAdakbGEX41jbxam6rLwhnSLHWhFoibFS5WONDfX
lksY2J3Qz5pR1HQXU3jYML70Tt85ZDMMyUeQbUil0yaFGq5idsD9UdsKx+uReJLi8fVB3U5t/9n0
VFudMS6OjFefJlVuldkOu7rdKJFyHgqdL0drpAREgxtpzSbXM4yHf8/pxpYo0x8QcGAUXTbcFPSc
s/QbavVSFEymFBmnt0OpLx1Ij36uphKPg0c/3nYhJ/++XVNWB+rvBWrWLWud2trKqEVnHaHodc9l
7GoqbnPPQVhOBiAnenDkTQgLwH/wP0AGEm0VeRXm3ieT8VwkDJTlS4znsQEUdZIMzpmYyUOcDpPF
BBugup5Ua/bUNHsTp+G56+9sIp87x/mxJg7p5mxq4kRpeAvqJ7eN/dLm6xg6jpVFlw9nQvtV5fYZ
dRQhwVGA8IfnJw2m6U3bS/1yw2dKKIl8+Pd3SFTIDgiB7aFGrN4jFdMhamNagi1Wa8RwlIOXo8Gd
aV/vyW0kSfVtU2r6SgCt9qaYRd9YKTE2Q9C9ls650t09V86QwyP8659pPC35ohP318Z41MsiJ/Kc
16czAS7hfne2kzfoptEOKiKzbq1KU700n9tN2z7i4iGuBoiMs5XnWZnF9Olp55ZQjZyGU67bnuFJ
M33MjKMjnnoyk+IzWRUdKvCe0+OONeZPJmHYG9mAv651YagYnPXELhCck87fPMyYNAC50Owy+AAZ
E1h6SMufetoc3ygcRnsa+EQ6s9ujPZY2UnHDloz5viQUyKu9ZjMipSWSCAnrnDYPa9IgiQgRXtAi
OHpkBURCRDoBNPCwuKZUdIvos+alm3zWzi3p/swWecyzN2HTwxGbIh90PFAZfRu2385B3/ek66PF
GuXIbmiKeX5wV5ALhbeIAG6y+ATaq75zd1QzCTFvfXJFfgqGON86SMQsxDphf7W9kBXobX5uEHFq
1dw6SVlH5ipv82bvqm9rZbTs65fcSeeNSww2eyETK6ZE2ARidWffM+KXG4As7V43TqUXVfg6Kl85
KDcg9Mf6m97TcWMFYR141uUZRpTeBJo7ka2iKarh22n4yBK/gn/IkW0Cdn9kJysYSxtZTqla5GBW
VEYoRAR90WXDHJ0q94pU1Gk1lPIN0o+36XO7jRqtM0b1bMuZRuCUHzgKgssqQeYBAvcFnY1YV6rT
3KyEMzs/OyJU991pxj6IyT0CO4gwIhg1U+z3Ri1+XHwi9uBovL3oNtF55XYwoc4CDk3Ruu//ngRp
/ek+GfuTs8kVI03342ErMLHO9va4TWt5Tn5L10DkE9mHHklhVTmT0F/qhXV1r2/ZktBdkHzTPrDs
XlTeoNDmDmemfQlYQ0LsdGdcJ5LZoU5uJ+75EP92d77mcXvLsnrC6wPeLja8TdaCbmgQ75PiKsgI
PoOaAbOdbx9JXmh2Ss6PuD69GgsOI3r5snHvA2E+uvMdtdOT5uHiogQ6qU4VAL1h3E64PvS1GxBx
E4vD3j2/rDOOU7RIh+Ej9o0yf9swc+D7wzBUcpROx/W6HvLQlFeCcYIhSJS364wLyKHKEtfUTM5P
mVJmTVmZhthhWQMXSlIKFCvgkdNxucr39C3R+l1t8VSfCwnx5pCV3JLtBDg6IOJtmxrvXmdwpNtJ
mJvya7GweGhd0xuE/gj1u+urwCdSby7HQ/PZR+Z2GNw6VVedXs6Zxy22+PmqxhKXeMr4MDE3/xsb
FUs3440O6xW4FA8zLhvNmhibnv6xTc+maRYYNjUtUTqPAgiBCxDyWzreJP3Sii82bVhX9k7EkU2Y
RA0JXr5hVynpLrdeQV2T9TfWM1L5dYk5bET9GuVaXuntqFTvDfGKSyKPyG0QEswS9j0OdWSiMKNA
ZUj5UcvdhAvQuWnNZViTOv488qrWl4BAnTtInr/h+UpQFF7fLO4I7h4aJji77A1K9wNHI+EdRfY4
GcDt4vUOhrcTafwrjSitW/bsORH+sBF2z5s9+7fxP5oVzGLMHL7ziZcqc7JGi51UjdBgKUTISy9F
M4axHwj96iw9bp7oXQEiTTmoBj8jRMwzFKGraTq3UqT3IRnlPNK43Ojhc9Itkhpw3XB7ubrs4Jas
4pQKh+oLG/l7vBOLzw8R2XBmkvQXpbz8fF4g5N4wAzSdifR2o3En6fbXE7vS+GQwtWW5LPtkvTlQ
XcS17EP9nBph12rrJom+MZ/oNZdaL8+9VI8viaOC08igmM67x0hLMF9XlMw6euSUieC7w00XUbca
DKYa54IX57roelsx1LSETy7nM6hk9zeflZ5z4Ke3f0rAS4ihMDHD6IvpY4QPtLGXab9ZRQcvQcZX
Gz8HBtxYzvYXu7wYFpBiGWQ2du8pxx73fB3WHBsQFGyM9XHjx9wU69bTBlufOct6TeeD8/722JbG
iVpf0iLL/fFcURfLOICgmIv+iyLHR77PilUexwiyU4MR2yrZnySp6uavcoTnOCxu/Lbt8SuMFfmU
U7NIbftqueWpZqiRrYU03pteVxj7cbOuthtnJ0YFav3oIpI4Qs/w/rj6YtelmsM/sdvh9aCr2+Rh
oBWoicNhLVjijNzWe2gp5/112kA54myr45gRwmfpySHVb/ehAC+ptPD3SNZT1WkAV71SC3ETlYUt
Yo8+349Ie2i6tIX+FxikSVnvY66LbxuV+A02VtgO3LddvztMlWSRTSp46QnfqUql0Wr27OH9IChL
sjNp7hOzM7dFD8mzINuSqHm5xyuIQqH/hJqm/nP5iFizgJiX5LiBl6ZPjr2ASmpemwjE8eliXlCG
/b4KzUbthg40jUTt8dUA796vfbPoZ97SEc0oCLGYNZ2re/wxN6eyoPzjQ0ihwoypFoYjTml8tWuJ
T6b6lR7h4uMR3NaR+O2BrS2brFV/qklGmnytBOhTUvdpbk2AaLDDANWj+XnMi2cOLC3k9RLMcT3b
1uU0sKsRgMz6GvYvuSbe9047tFSbPUQfM5rNtLs2490Wb1czjoB+0AqRwuZBra8NUet2JOcXUBZf
+49viKjEecY8Tm5hzAMCWvwMRzAKLtpI9lSsYjaMqYP87B3sgKdxeko5+5HVI5WPFK+RcawOlcVR
rR+0w9nmh0hFK/X0ppoJ+obN4irLtw1KKmw7n40ZlpdXbX6z7EcjXpV7qZBkZJE4lYZ8nstzNy2Z
NKIVNnDoOo828I5iGkCB6H1SlXOq99BAbm3loDe197yfdyGUWXQq/ou7mVCmLw9PwnPnwLTbmmKU
t2gyzvJWstd46zXfkvayCBhm8HfqllWKAeSD6sia2fYKS/VRhcF3pH3Yt28FZrOf6VAiZyYEeQSD
CkIRKSzSSSMBlSzocLHTEceXYQSH6toAKf0EcT/ddNHksLtzjkBUp/Rj37d462/yEBVEOEurATuP
GZm8IucP4uOWqbwKjT5clzMNtI/f56WglxRrDIEi6zQ0PzlrNkHCmCL4LCTIZDc1E3v+0lvUGTYe
N5boKI/aPHPBemW+incdRP1i4BTrd6TZfPmDy3Ax1xaUwXqps7ekfP2W0e98g55LtEbJph78cBuG
fI2eCX8/JCObZbL9sws+t6O6drDwIyuT9rySDiRXx4A/bNBwvswPL0QGJEfiZcl7QIXH22R1x/Oj
G/OqOnYly5OUGmQovO2OvQELX1NRUibFlzeKfIYlLEiESmJtQxB7UwrzC/iBNr8oEYZuC/kof43s
jlKv01vxm6uHkhawlc85230xEMa9iacEsFjEGx7rePvVqf/S0EB9jId3oG5IrXWk5VTguGXbFP/k
zcs8EEt0K4A4bSZ8YWyvkBnNw/XS7q1oN82IOXO8PhnghFrlPs7id/ckBV7X5SyDWBEo++Cvclvz
+V9dnhO7K+LxeluCoygTy3FWv8M2PUsX7jsLCl3gtz8gmYr+LwY6Oj2RDPYLXWb39TJboy4QDW0Y
U3M48sjeTw6LB1e+K03wbjZN2HkklDeKOn3fWfBTmss8Llgmdep5RpNpV6geAcsnBCiup0a65tJu
hCmiTQfWq5fYst71yZ6/FuW/tdSYyjfxhVptHHnr70w+Z2LxqlfHkbsn0fOqiL0+97H4liA+pc4r
cJBjEQ3NGyQ1VeHG45q+NCjL2WZYeE4X1vrljRrEIOSqMe0wmAxZm7phuuLAz4IujupMfQ34donn
Z+9ZklHntqBd8tghvegNak7AHOcj5+QWzQHmZPpz89h+w5NGwdcTl7K7BiIHelTxYoljB5tnx2FS
X0hmTnqFJvofKYp5tlFIJ18sIG8VLUyeik0LwlQlZUrHFHbux26QBM6R8DxcDjORFr6fSQ3WYBfW
ChbopNbxd8XZFG/yJzn6dIAKVw21xnb0Xj+xTr7OWDU+nP6gQFk2ZfyjYBXdbxfIR7xUs7P5yD+u
0/ZyI2+dEX9x2SuwSz7nwCAoQTSWm7gqWsZ9g/KqJ9UGNS3l5NqzDpDxkN0mSjUy0znAtx+bZeBU
98GrZPd0R8wkP0gzzGV8P/rYUie/umRkiN/V0fjoWZSlNtlr5mD7lb0dnULwkHIB31aRUq2Y6c+K
KoQHZuwJbWsjq5ZIKcHuPT2BA44hjwZxTJG+SXnHCfDWzGzRSk2St3exHBs6feidYxnuTfVNccA+
0xy568vPzz+A1nXJTTDTVSV01MZ7nlE2Y5O/s3qPQ8jhLfhApREnuW9c/C0Zvrym/M69v1S5dqA/
Nyz9YwZbNztFeVo2IxMO8GVzuuXt5WZebyLwy0cVZhrniMxSwCZDKWaCfWyTyOccRkRHr8uEfHB4
pQ6PdCDFN+H8q5cTe/EB+7w+H3FL5Jb8zZ2CqnDoPFpg3uev5eh3wpWOu39mC93GhgdTyGPlypJe
1ge9XMOJ2VfjC/s+Q/e6ISlofGOCed2WwQtxI0g0EnaKrb3v+qxB1rNj5LAf80GT4nUaSqOfBqBr
Y8XkxK2v0onczo++KKR6CcWon85TgS6S+S2jEbFBPgMzw01d5ucBJVotlooZ8p8CkKYivzUJfTGK
BNFI2WGxen5FfJWPSIdDo7zPJoHfQfMH+YyFiEs+wPqg5GcJ3HpjMBva7x5cz/K4TFEsjq8vksqJ
qYU7RLEYJBPw8Y70iVEC114Oa9eBBgnjIXWQu7Fzksfb9dNCbt4g/9BN5lVQxAzJeWJzouVQgPE1
L7H7I0EefUd1av7VWL3GpgbMvLa+LO123eFLvNKvMdlt6KvjDlzd/blDi/FBMaPog403X/LiAGQ+
l41zSFsMGJ81+d4dcvNkDprroQteMkJE01siTs2HWVRg/mFi93z4Kt70/SdwtXsBeq5vODWu/HBc
3J3vV6Zi679oYbbB3wJevhPSOeEg5vCk97daetp6Y6OBYjtx9esOZSMHz/CJ/mGTESGJwVSJ/SBT
/4DAydddiis0ZsoTKyIe6xTtYz2E5ZQkbeSMG/fugiP6OFbbZwe5yT2yrLhh3gHbFcptNATM6dTw
k0SwULdTdpDOIljU6QxILrD2lXjt73WqxK1dKxn/wDo6dOb46o2W+I+QBneK0MmeC3w1Ciss3Eiv
nTwbDn5a8UMh+6/uTHGepmVY9IBfdb13z4KENo6zh+jbqXF3vLiwTpmlgmvNL29Z80sK7CTcWecy
qpwtKhAztEx1yE/3sqd8k/L8FvVAtj+XESgLDfuIA55RBI/0ImXXnQdw6VRyyDOUzVr7B/gNKMOA
DVqIPB/vEXSK2faiAO0Re8/G7CnJfSigls/YUOsGhV2XwsTjTCpTO+3Obs7xLX+59fruqoSmD7On
7KQj+isjPbL0L9J9uCOpuL6qOJh7h/VtP371+E7PD7l67MWKpHvaLUGPhbrf7anhL5bSaB79QSao
zKfjyPPeYp73XIrc8iM0IXWPVKXd+KilkGpItxxCRlw3mo9/M2tneyehlYn9BWRRET9Xg54UYNbk
b2w0RpDZlSGpb3/SqwJFm0veMcgO+cra8cXk+jPRCThrOW7D81sR4jX9Om9odMRw4KFvg/CF5Jaw
f66CPmLBKHQB/gstUOVu9r7xMK9+WWZTSFPu29nqQaR/jA9ygFoBnRKLQoClq8qLbH1ZEKINqtBU
odGLT5Tp7J9v31QqK9L0IHHrnC8SjyvGe3ReKyrQsKxHiPLgtdDJvwq3Y3utTTsdOGfCoqBlZKD0
jED3cXY/M2cFNiJSdCUfVmiAJNDKJCnTo14bGSkjte/2dnYJrWH4xCawgph0jDrqGWBM0GahnxlX
r31GRwZm3R9m5TPFGYmJy1HFFeZQ4KSMYC6kN1OUXSbvhRPDFMP7IYj1yr1iS3GmIqnuOn8/anKG
W8cmWa3dYdjbofXQ/r7hOwhi+Vmr2D5U6slw01oBizGoc0fyk0QYzrIsxvMBtjLZQ2CpPa+LA9mK
xtwx89lephRAAo0yg4qGq/2oGlYwkUkVgAsUOOV8LqF7VvklBPPmkMfv81bUp/H6aN0YJG9aesI6
hypCgymcBiaK0iOntxCgTEyJ8U1v43Xsm07lS5WG2Saq4VyJp408Z6wRw/8D7ozc7wplbmRzdHJl
YW0KZW5kb2JqCjEwMCAwIG9iago8PAovTGVuZ3RoMSAxODg1Ci9MZW5ndGgyIDYyNjYKL0xlbmd0
aDMgMAovTGVuZ3RoIDc0NDcgICAgICAKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtCnic
jZR1VJRd1/8pkRCkpYSLbmaGLumWLiUUBmaAgWEGZobubiQVKUmREAHpkA4JA6RDARFQREBAUt6l
3rf6PL/fWu+7rn/OZ+/v3mfv6+xzeDiMTEVUYGh7uCYahROBiILlADV9HTMzCBgAg8VFwWAxMh4e
MwQOCf/tIOOxgGOwCDRK7i+JGgYOxSHQKHUoDi4H6KNRgK4nEoCIAxApOYi0HBgMiIHBsv8K0Rg5
QB3qhYAB+qKALhoFx5LxqKHdfTEIJ2ecHPB7CfA7CAAQWVlp4Z/hgIobHINwgKIAfSjOGe4GxSEc
oEjAFO2AgON8/yMFv4IzDucuBwJ5e3uLQt2womiMk6KAMOCNwDkDJnAsHOMFhwE/mgYMoG7wf3sT
JeMBzJwR2F8eU7QjzhuKgQMILIBEOMBRWDgM8ETB4BgA5wwHTHX0AEN3OOqXWO+XQBj45+8AEFHI
73T/RP9IhED9DIY6OKDd3KEoXwTKCXBEIOGAoaaeKM4HJwxAUbAfQigSiybjAaBeUAQSao+E/6od
CmiqGANQnBzwT4NYBwzCHYcVxSKQP5oE/UhDxsOjgYKpod3c4CgcluxHfeoIDNwBh8b4gv49X1cU
2hvl/xsdESiY449GYJ7uIHMUwsMTrqP+jwjm6U72x+YExwGSYDBYWloWgHsAcB8HZ9CPLcx83eE/
nZAfZigKFujvjnYHHKFILDwQ4QhHYuFk/lioFxzAYTzhgf5/O/6TyCAQAIZwwAH2cCcEiuxPdggA
gzv+Yn0oDoPwAazBomAwBAD/+H6vbmHgUBgahfT9I/95yiBVHRVzCxOhf3v+7VVVRfsA/hAIICIm
Lg5ISckCUrJSQOB/pjGCIv4p469IHZQjGpD9VS3M0/3fir3+GQL+f66IAPCfuQzQOIQDHOD/M+o2
YEmwgw1YEvJ/HvifIf+/Of+R5X8f9f8uSdMTifwp4P9H8f8IoG4IpO8/ErSbuycOjgH00TA4BvXf
0hvwX9dXHw5DeLr9t1cHB0UiHFRQTkg4IAKREAVL/LIjsJoIHzjMCIFzcP45I7/M5j9uHBKBghuh
sYgfjwwgAgGD/8tn5oxwcEXBsVhA8pcLjoL917YaKAc07Md1E5OUAqAYDNSXDAxAADFJScAfAiBQ
MLjPz2EGQKIoNA4GdwTcPXGBgCMaQ/bjZKWkAZDaD9MvkgFA6r9JWhwA6fwmGQkAZPabZKUBEPQ3
SYgBICgWB8cgsK5/JDIAyP4PyQIghz8BEgDIAe3m9ifFj+ZBsL8QAoDgfwr7QR6eUORvi7g4AIL7
OCChbn/FiAEgx79QHAA5/UkhBoCcfrzTcMxfEgkA5PwXSgIgxF8oA4D+7CgFBkDIH2fxxy8LgP7a
HgIGQKi/EAKA0H+hGABy//MDpACQOxyDQP/VMkQCAP1VG0QSAP3ZTEIaAGGRUOxf1UKkABDuL5QG
QJ5/oQwA8voLZQGQ9x8UgwAg35/4H+Pk4InBwFG4nxcfjoL9yz+fcjjcB+5ANjOJdpCPcKmNaDus
VmHxFll9Id4jZX5w7skuQZaIxF8RJeg2YHQtY5Eo2JfJyFU3GnZWrLIm1CfEj0pm0UiU9naVVW0X
vUhDG0lDoB3LvCn6VMFA7tI2Cf+rHXAPc0oC470HG2q+/dpfOCoOLHkU1UZpTKPQ9MFXD63W1j0M
iVnYKooekxquTwrIMhyHbRlqI4OM5YjfPH+mDnYJi75HrtvR8PqIT9eKvGHzG+3jdhq7icleVQrJ
4DdRWmS42m17Fssyablnox1ix87t15Wf4XcKl8Tl8619FS55/m1GjzA1iIuL9CMrU4lTjO8n/aQr
hQj9D2tK7yhojxEy21Zt0WdCryZSWYOGL3+1thEvW9dHMYZ1nlwjwVyzfWzho4DITRSDGYkel8F6
jGIDpi89dr8U6kl+poyPcAucJJ8PEjY/F21Vyi9llWUhpmlbkA0eyG6lpEnkaJeRyJe+cakzRiRK
+MXT1PLoLTGS1ugqS0LNmwUPs31Fq30UXzi593Z9K+Tx+mI/9ogoxhRjM9xfFkOZW/9c8GsRHyd3
Q/9FWYRFTMV2pdiC/HufiY6i01ICOzjf8N7XXtYKR79Qugwhmnhm+ZIPIVtWrwUKh88zz5I/jBed
VzcVSGQ1jX60TBJOgCC4u28kZ7VYdLGq3UdvktrWmAraSV2iaNVx4X6kE78ACoxo55DlQ4F5xE0t
6haMcgO9SCa7PYgZ9rCagQ2GZuMJQkRtOYaC7VJ57U2pOsUbgjYiIyaz4uXVswY0MzlyTrAOeXeQ
hTzU6nun1HpZAdW8XGhRGvautzE+k2ewkP7zPcLId6uaIT05GRMFKEUs8ORxdvrzVcEHXdpGnxA+
IVEvCApsfKQSa0s8a2hb6V1u406XzZz41N89TEbwErruBhB/lpzfEO0XAjQegjUIhWnbQs6WqRg3
W81m7lMHjaztcRncD4e2F9DfvFj18u6CqEhXwqnGBzpduY8OPrkNGy/urvk4Ez0pNqA4M+MybGco
Kibncr3VojnZFhZ5k9Hg+RJbjTpwV8Ul6shr4srQ103HY3JMcH/VXTaQoP8y7QNhDZiA8HMu8t3w
BpqOHS88hDPj+Pjo4ZByN2MSsLTGMmI3X0uUH/TRVwCP4eBFltNMbFzGlwEWKyTq287M6aRXK2Hd
xfLDUPypjZHY4cfgQTECPem46JdrRq5O3x6eHDrcIBz4svKSp/WSwdqlioBbpc/b5k+cdhpQdyku
PNfDK1x/qqhOxJK1r4bXsOYSWOqTjXskzT3M2AlAQhI26++93DfbJ6PjXBP0SjVUhY0YjA9w3bkP
6sndtw0VNuh4ReoIShXNhDh6mhejP9H1LlScHzqc0eLmFxooRWua+0mYVqDd53o5GhqVb3KJLhkS
1T1rk6FONtDccyMOUBaUHiz/dNfj3l2NLzqeRXC2m0Nx+dpu/kLNOSZWzc/SbAD107ViNNul7y1x
Uj3yYTxauc8/f1uJ/q5ml3HLjUdC9bE2glVQ6+2Fg1JNVPQ4weXaBVAsW1fENuuEKF9D5F0Ilya7
zWxowpUi0/7Bd/R9k1EarnSZpruCdKzX7enHmB/FT7/PMW9jce4n91z+in+p63Z0g9idN5gRPcXp
jx278fcIFKjM9Sbo6dPmdB1bLuDHZnzFatHoDGrGzX7Tgrkixg/11D/rna/HlmkRJz9p2jylB0Om
BfWLX2ffG9Y69H8XbFN1Aips42fr6ZSX/Qxc6V63iLruad07VNPWVqW5HoKibI2cz0f2tVyhjZxU
L62Oe0uIIX1vuHyNWs4VF2AwOeO78HG85qwwbUmROwfN1kN7uToYz66Q0C6GIOrl3k3bjJ4omPAI
SWnGmL81L3dWRVBoJdlY7yDESOSagwZPEkV0SOu1gO6g3UtuVbXsqSlvtvG4iHJ0DyNFnDHXLGZ9
Xq5SpDBvO05BI3GbAm6GbnJdEe0ytZwf6Y5lJFlvihwYK9+glOINCKlchB/u3dREw+GLMbkM81+d
7rQqXPIK82iblOfiC85FUxpfEOwmu3iW6PwS7+kWwZLygp9GpGaTlkWt5ITA4KB3VAp2Tmm7QGqr
FOOyMF2c9kKHl1w+i0bl0PDR4FGDPWS25JKBzMyzVh08Stso6TluyW0Z7tdcel03YAekUrzWcwkd
kGsExnhuqdfHbsWzH3yaopo4LrjScc/hw5ALlXRxmEBBkK3n6Siv8t06Wp4EogWiIOuwpKMHh3db
kkayQkxR0T6A0tD9oQ6ZZcN4Vy/R0uccnCSrj+Qkbo8C9gWU8Uv6hluIcEDyzmLQUGNqkrFfLfYJ
v6TscDjfoBTXMnrxCChoSt/fkS/wmk14G5M/dtxqZOyuaJkQ7ilIXMXa62jJRV/nHyLEkMTsajJ5
DmLn56ReIiumVzdTSQk03/n8uT364PSM9LTG7PpGQb332kTNE9Y8vcFQkwzEjFgFKDtX/CPjUKDZ
7eUzKA33kZ7uCwHyG1xXZ9fHJ19mZHibNjCW7O6VaW5ylklZxt82wqvvG1knlcxg1D2tI5Jqwu3S
eab4xTFd+HpHKqu+5AmnyShmvF9SGh2jfKxkAOq1Wt2cYKp7UnyGKDITXd/owz76KLIgXieSXlti
6cJ4xzXOeLB9yo40ee4xEjJEeE5iyZL/KvabxKvb2ncdDgvfbomiZPYD/apfZV7wrz3vloWulG2r
ZCrCWYNfPtxXPP+kuNrq8YwLpVeqvELsoKh+cIZwWVwRzbinuehGYbrQXFG15CT4KpD1nSW1VEb7
cz2y7V6Jab1rjd7uEnUOrf5EfpGFJopV3zX4qUHG421DaeE9wXRizDdr3TzbSatF7rShAjBPL4Qq
EanQNgOJcis1HAphTYbSkezpSqXMmlfjxMinLiadZq632ptLTLZ6uJEvrzB0JhCblo2Etoj7PizE
g1nI+19pSX/l4TPIyzoqqlRgOQEzBOoIz/J5mUKjaonmBeguNX4Qul09FbBxpMibM0QknfJ8py+v
1dqLQPCJs7ldKNVWwdfhjj4zAjAcS9K8nPomGNXVafB1Q7hUHnX1Qyf5WgJXwpZUosOgpeNgdHOD
X/d8aGlLtPT0QzIEo11c3wxFXAfOEHM94UbIPo9LbNt3qaFSDXtaBqMmIf7yzAXqDxs7szen5Hgk
0ly9o7ERRLxGbVFWBiHJ84vykQsdim7mB4uvXTxnzRRuyMTRd758gVqYDwuv5t3G13lv4OeJt9Uh
mTNawblMXH5c03/0ZUOd2dJmxuNwbuekorCf+0iRQyRiKTLUfoiBu/7+onyN1G3hh7HGl0+kAxbb
Ql3B3SFpKpyGOl1O6sRXdF9kj5XAjjc7mV7adEBrF0lFI17dng4ZgbBcIH9M6i6KWxmUw9J91Fcr
ZDE26hgdNf1gbUaJf25TMKK9229SoPvcvRO5ML+Un5tHG9dxf9aFMZaxDOar3aPXlCieZtuy6nGz
qndhMxrcFRIioLGxdKFIg2tsGirCzjBICfnkDlUcUTFfyDO+OMs1vfKNwjT56Bq/2Ysjae+7tpKT
9wVvbcITK9/YqQ6wvjgMLqztGGkiqtpQiPHxVFpIWd9Kzzg7eShSFEKiy+HCDDu6+h54TJ4qpsnV
AWJlCAiiRjlek1/xj6tRHs2Kf+tM+kBphsSAK3cnfnwQUVR1UVftC019mGbdJVtJ/ddEl/Agq7Hg
ahgnFadTpW/hM72GZO/o5gUrKzenAfYDTk32mHLJF6HZy/cX7Gsk+N4LrzJHku2liyXGHjHirSyP
f2YrqexhUfZRJaWUuJ+uUX854au9Ftw+cLKdKjR5l7pmLP1a1ktulfszCffOHyVJu7iL+fraVFrn
7fhbjvfyKujmpA4o3DJIGiO9tekAvp56c7B5t0QeJTBQxdE5L5GXxH22hLy/VO0t7CF98dnBbs1n
y+CwUvI0GZF1tm4melm/ONjwu67uck2vEpj3Mf6MOMeiy7YLe3LD+ks8NuJKnnRuW77Lmse1Mjle
V7ptol/d8lNNY7fzJwvdf0sA2VFpC8tJi3GpJDi/2OyS1bHldzx6Vnr7da3jt+wPtYabJh2byDGu
ozUNzE72KbXeAGOMNpv002HLkLQ4w6igr5lU07qpS6qInsOkx+0GB1SNrF+kb1CXV2pc8oZ/XFHH
I+qU0kadvOBOMvEvRLd/H+Vc4UdvgRFsSrTHrr36DM9RQdv4Vk7L52mVTnIKlLnbvZKx2O2TQv4n
JkFGVaoCMtzFtpeEl6beL6FhjXh6zKi1LzC/TILRhVpfnjt4MqrXb19t4x9sedmCplkMR3oyH58G
0m5AHzMF8zHYeZyKKoJugMQfaFOGJ9hL0h3sgqJsvT+Iv8qbQitX8DHrD1y0PhRifTSGUFFJ23+X
l+xTGjd1ul6d2wIn2I16WVoVriBVl0Z1e3dc3/3yTvRzWaH61CsVfEHLUaEWZlHvXlldld99Ib69
LAbmsIKGshdRDU1PHLdeiG26xSabkaj9IMfihoD0QKzIHjdNciXjA5k2N9V7kCb7fccChUru8VDZ
gVOYqTJyi43JsfA+AdWelaNTEK4u3mvsjitx7bPz1cATiry3ajpkkQLw92HKQTOfV74g2GiKe8o4
JtVS7B6/rerfogpFF7bjtTyG7Vofb56XXqaaCH2tk3i4r36pdsn47MtQd0dr7hfDC4Se5VRRIWu7
SWLsKnmBQUacdVJ6ARALjgLsAHueZGlDhPvagKhPeYvKsQWHblTJE5Xq7sDQe0Pn9OoDyAKtLrZJ
tkcyU1y+lUb+nReKQ22fDczQxWi18xK4itlPTBpNe1G2+3/iSJ/hh1QkyN/yk8yOEqjoH73TtmGT
PqdEJKBQtCHPy7u7arY8z3Gn6ZipOC/dfrmeKgnrGZoptFqRcd+WAOVUkKHprHovjuYrQ3irQWSZ
IlWfe2baGz7m18HJw2ldmGU9fwPu2py78rN7BFuhcQKVZx/1L6oXa2zAiuCsqHTuWfJktoDEz8ke
bYeaUPVlkfgdkfdxHg+W982y5qJYJMKVnQDMs0GD1LibjMaDc9gDCTED396ozU7Xty46mDXJ6A/q
orhYnp0yYteFx07l+7v8S1brrMaOsX3UyJEW+oBEkV7U/WqvJk2jM4Mt3o19ve/rnYrRPOjUMiAh
zO9APmWueCMuqsDyjdV+Un3foM5VyiKlMIoLZ5anLiN6o71Be1UyHaqmi5OBPV6kVbVND+v9mgkm
I/WvIvkeBWxA3y2oEdvtAUM6hIaKsgjntW+yJ9pOUmLP960CZ96r0uWa+Dc+jVB9PKt6RP8M4Xeg
TDnyvZXJRtjjipkEBbk/CS1/hvjS04QgW9T9AtDOxJygjAcrcoVOzhzO7nmxI02Jhp/ylU2B4ttZ
Dq2y140yiJin5AEb67HZei1og1q5UnuJyvCBj23j5ca2LlmS9vWW1g9V7Qk7wpgfE4gX3g125I+t
adwgbLfziVj89qVbbieJ5kyFuxWsei/XlAF9v4XbcZs+OcB1tFFbTI04Y7eZqTXmg+gxW9zQMn02
/4J/GkotA+MceXD3nhOeKe96mhJ30Ee6+DEJwb5rb8RT1p3KznncqCsIJfwad+pakIKsBjHv82i9
7YPyo2mUuh/ELBDf/VDYvSEwWhkO2v1+h5zQa92xhKeJ/9GqMUb9QtSJqwK2rUihWyoMdZrfeS7z
0qPV9khJn0cekvrRmWPuG2A0sHmuFNE/saZFOiCTmZfm8h3EnURZZE6+aUVgP5zstGvuT0K57Tdi
4UFHH2K2iaZ7H2heyNh0W/wTRYVzjgdsbEe9INmGLRGRnC5z/RkGHbausDplHbGuG5kzf+0lo2mR
/vODAsuc3o6UzeMepdOl4IFwV9bgpjp49rnCmMQDi6jt9XZrpwYzTOmGMP+U1VNbU0qCVNdvMX3T
QSycourWPVKCuIeULBZFwBhDSjcVFtL8Ofl09RYxL+nVKJnCZ9Fb6O03sL2kCN7P70prsfu9W7zN
5a87YhEBXGosoKg3D6eDNgx8rmV/rLxy58s7sQm3HJFSs/UgVvv29OJZyKLCQBWCdS7/qoycFona
pNFKbrfj28q4tql0/NIYbzG2Gef87BmLWq+1njohPaprJX1W2gUms9NDV7WLvZ5EcTlJ1j9aNVuP
sB8QpeWFrU7eTzXTpatnjskzsNmfNBmDr6tSj/K14pcO7AYQn/fVH1zvDq/t5TDPmkk/G+V46q0x
67yBqwdZWY+PUD9o4258if8tyRpUkVx/kQjZeRZeK+StOHs2fm6t8cyOfTnnzcUPSmclukYlD7PX
k5im8iq8+z5HmN5aoBEw+LLXyFF6s/xjoGXC8MYDDCdH/0UrR/XoyM2r3ifdPg2vn3hcc5i3IZsd
u1qb8nqtucCkbljoZeYTGPOnfJxZY+4c9cmpDOXtGXcSK4q3D4jHqClmY4uGAhmya/IpmelM37/T
huvN20apWD95WkGsUHmDn6pfO9Gds5VasktY0OZ6dJRofmJWq29ZzdSwMve8Th1dypHr10n9oZtX
3i7yXvELkNvXPwzAL/b1lH3r9lDLeuZO+0C+qepLt1LjW4ALa0M4glaIMxb/sITgia2dsWq/xSaY
aiXA8XtidWA/+72IW+Wzc3LNE7KQBJXhzwlydGJVj7+KxaTvtzDvZmb6zD3rCpXLETOZolmLa50R
ltwodWRo5HKYT47jKRTskp+aH/N3SEHGMn3BRNEw1ZHGVTYRaIqpcCA1che/7DFlH0WrYeN6R1tu
481hnAXT8O8Nvz9eE4C8sb7I+5SXj5RPcYBqyeATLJakfVPt28yzKfvwo+mgpyelxpItzBQsYo0j
YPb1oMTdC/gx+DfmIhQGbEcNJYudoJdPNEUWvEUY05Rwn4Mua8TNc8l1y6Q0rdDom51QDjuSv5ca
Dzpx7uEjip8cKZnKfMLSXwlxRI+2vWcjSifXCRbCR3PVGX6eLXnySgm9RvXoc6o/wf51ub14za92
rMndr14X5zY7mUm3Q7jpsh6rzx4RBI+tDlWEtMl94rjNsQ+a1V+vpk1qOtYa+ypT1KxzMGnpuz5T
JlOUVWcOc/vUPMnRdeGrEalfoW3Pty5NDa1HArl3ru9x0m4oSkYIXCevqya2K9xc50cSe5d7n57s
T+W401d1SrkyduF5yXselI+21utdfpsXauot8W3i+iLLq8FsOcNJ4kYHUCODUwvRaycuaipWaRW1
Gg6GNhmEARAzF732WaWxKRNB3H5BInsh7UOvz9vLS/4M9SiKMebVJzI8rGocSraKB4YTLa2VgYkn
iLw13WibJuor5SujdxdzYYPvFUp8Z3HTK54hQ3b4rZ+GMtAkHR7lAinL1+7ikd7cfOHm00cLoyx+
eFv1SocOQ7e0zyAtab6zstbtij0xZaeqePYc7ba8As0AKogYe34GSToHgfBuxgexc8mTHHeF4/h5
fEL/ku8KBJmyTbplrsrjGStoPID6ioJVFbos4PjOlQfbDYe9mVodTcFgl2viU/O6bSfz8fduzndy
Vj+YPTZRWgkJvZXpg1egc9s0P8TM1JCTJtsEe00X5tMViOLc6uZn0y/5pr3J0jfiNTTzXfP2bo80
jMoCzEWSUg+2vPMUlp2I7xk62tjjZMLEGOosfIu32N/wyWfLAKhXY26aBRm33VBKmX0fkS5RTH0n
abWnOvSL+HS7o62Uf515th81eEs6XLL8uz0N0/oGjybxMndO7R16cEBZ8OTAxIbll/kYMWeD4SkK
2y0NSt8RBf3+MHl8nNhUpCMppea7qmmww1XKevDG1QP1j/xrJgGXJeUc5mSE/J8Lye7jfcq6ftgx
4HQckRv3Jt6vwiwhtdOy4UB6sch2z1pmh4mUsZRLrUaOH01hFEExMjzoWmV400sykzj2QLUILjwK
3sC2xBTwkAkfMPKTKAqhzL7lJ1gVMJQO3gWoCVa0H9pbaIRcJXgx9hrpKupbB2ZT/Nr5lN5rQQxf
ZN83pGgEO+IRZqlKtaLccKDM8El07L2BWY/UW2sCV6IthSnO2Y68Sv7TZv9Hyya9SfQSSaznE+Vs
U1vdmvuxvUIWozTiJWwEG202S99lLPb0cP2aEtt2JLarm1+8beQ+llLPZkE81sNp8m3Xz8cZ/Ywu
OPZC1jeKyAS1OIiyxsAM6rfcKKPYbE/6hpldMol8X3k9HAPt5G+n0BaXCKuLlgtEGr56o+TKfBaJ
uzhjQWgl+Rh9HHKBfrVhgft7DvUC3CW08qhCZhl9eAU9XVMTbz581HdJxFqlDB8jWkDSk12WI5uv
HPAG6pZU9pq3Gv3p2JeWfWRDOtCdSCunkqdKuIxF2EnK8VjfjQSybkizk1l3bYexEjMUciDnxhwd
6CQz9Yx6Duvqt6R/cpj8KptU+OmjLDuNh6k3PpSmuzIldGHfuwleXWheny1ksybkiNfJ4m10qx3c
esfxLPmTuC6oD23CtRbylk+hZSyyV4Z4MHG3peF/ADhvfloKZW5kc3RyZWFtCmVuZG9iagoxMDIg
MCBvYmoKPDwKL0xlbmd0aDEgMTQxNgovTGVuZ3RoMiA2MDUyCi9MZW5ndGgzIDAKL0xlbmd0aCA3
MDI4ICAgICAgCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQp4nI10Z1ST69I2giAElSrS
eVRgUwQSuvQuHekoNQ0IhCQkoYUiSG/Se1WqSpMOIqBUAVGKqHSkSFFRehF4F+o+5+zzfWu973r+
3DPXNdc988zMzXfllqmIKgILQ2phMUQRiChYDlA3MNCBgAEwWEIUDBYH8fGZoYho5N9+EJ8FEk9A
YTFy/8FQxyOhRBQWowElIuUAAywG0PVAAxAJACItB5GRA4MBcTD4xt9ELF4O0IB6ohCAgSigi8Ug
CSA+dSzOB49ycibKAf86AgJwQQBy44bM9V/hgKobEo+CQzGAAZTojHSDElFwKBowxcJRSKLPPyQE
FJyJRJycmJiXl5co1I0gisU7KQleB7xQRGfABElA4j2RCOC0ZMAQ6ob8U5ooiA8wc0YRfgOmWEei
FxSPBFAEAI2CIzEEJALwwCCQeIDojARMdfQBIxwS85us/5twHfjzcwCIKORfcn+iT4VQmF/BUDgc
64aDYnxQGCfAEYVGAkZa+qJEb+J1AIpBnBKhaAIWxAdAPaEoNBSGRv5OHQpoqRoDUKIc8Kc+AhyP
whEJogQU+rRGsVMZEB+fJgahjnVzQ2KIBNBpfhooPBJOxOJ9xP401xWD9cL4/m05ojAIx9MyEB44
MXMMyt0DqaPxh4PwwIH+7XNCEgEpsKyMhKwUgHQHkN5wZ7HTC8x8cMhfIOTUDcUg/H1xWBzgCEUT
kP4oRySagAT5EqCeSICI90D6+/4n8E8LBIEACBScCMCQTigM6N/qEACBdPxtG0CJeJQ3YA0WBYMh
APj0+9fJFo+EIrAYtM+/6b9aLGZ6W+uWmoXwn5L/BaqpYb0BXxEJcUBEXAoMQMCSsoCMFBjw/6fO
LSjqTx7/EauDccQCp2Kn+SI8cH/n7PlnCAT+bIgg8E8xQywRBUcCAv+edBuwFBhuA5aC/J/n/VfI
/2/MT1X+10n/74y0PNDoX7jAb8L/g0PdUGifPwysG86DiMQDBlgEEo/5b6ol8vfuGiARKA+3/0Z1
iFA0Cq6KcUIjARGIpChY8rcfRdBCeSMRt1BEuPPvsfntNz9dODQKg7yFJaBOnxhABAIG/xdm5oyC
u2KQBAIg9QeCEuBIDPFXI09tJAbxX3loYuBYxOn2iUtJA1A8HuoDAgMQQFxKCvCFACgMAun9a7oB
MVEMlohAOgI4D6I/4IjFg04bLS0OiDmdvmVI/Cnw2wcGxNCnSZw6/nEb3AOPR2KIv8YEiUH8bf9a
fCTSGwkHfRzDwuVDXKpDWvaqVDm8RBYHFSjX0/esxEUGC+2oiV2aw/ZziaY52eN6j7U+dkK07Fza
DNXc93Kn32/6LtTw1PpI7ojwaC078cDix052zowm+e5yXh2jayR7YJmqxi1Xgu8iu8UVTd9Oo4xw
6jLlo/P7q7rjQ5IXP3OploxuaItha3tVabY+C+cNiy+fTIhNsF6zRakt1r/yPrnFBc/H2ESmGWZe
1VNo3QclelXSz/b09U4ydHK9iA7S9by3+J03jMigKd/LqSF5rtJi8uHFn3klnmuZjL6wm0wqa4iu
JzOCqXvVhhvOCxtrtlcEkttlnB2SHWMgX0j7XAy4SWa1dHx+wVIUYiI3nIeioUcpaZdg0ZGB0n45
Xf6Jy1U3PFTPZ3y0Y2j2p4demo71m+4QgesGiYrHZQtf/Ov4nsd6OoaRN/9VlcqwoCnMki246u8Y
/LCbF50zuSMQOmopbi2b7txiplQ8eSOkOdCKQULigicqvcL8oljd555zRbd3fEmSxw83W1vV+Mfd
K6MxsYwxpNmaSb/MwgcH6xCxV7XwjKcx6iQvt7kdv0rvOVv9HjdskX85qcVN6uvse4b7MVg5gCf3
0WpbVEgsq2hz5NXyifnOiG3uMvJ4BFmpYf6Tg60gltfd2BYyCZBnaVDMwRrpaI08EzAE4WpJlI9v
XZK3GG5zku552EVLrvTx+skPpeY0o0BdSTdV8MCRiUT9WJMQc69vq/BDluYFxhsMc6Eoj8U3BskL
Rip0zv4iTBMC9y/cYzbuDV5JjItpUZ3dasqLFhx5yjH69XxLqWIQteiNR5+z17YknDjYN7MVL/JY
t9rznMBOsPaXvqtxWhTOHHTf6z9Xv2F5lecrG/lCfU7Wy1noxgr2jhbBKEEwJLmQbx0hvtHkFWP4
rHxEW2lbw3/7O/VETkLX7ZSLLV9rn0Jc7lQEO5VepGqDwFqbsnUfQ/0cWp1jS2B3BV943Q5eh1vz
g12Sv1dbkcn47DmBmNKd2UwbQh/yU971Z8QdiwyvOo7ZAdDDMXtQFwdakmSxsrmMMdmcbeOyj0Wq
VNYIkZP8UhNSLFGiDTcGBO/3ZGSphZnenyFIvImLc82/bhcDS8z8TupvoobS9odK2qtRza8yUTJO
HnYPHkDWhYfGGUbO0H2xrKsW78NhszUOs59EUrR6K/U5vteuObDmsTXT3HnhkmnSGxUgJnxIu7DA
sgpkptNPoWUXSFaTibjqrbysHO0rFruTQYj6K/WB8gjJhwVmRXQfpeSuzx94Ml+D68UJTY7JC5Pe
XDpnFVPJSLrgClwuNB6Z8epSgrp3w6QXIbE6B02DevT8ocrIt+92ExQjVh2b6hW+u+j9vD/C69qI
3pnms99y47Wlz7gxL9IZnL942RWq33+XfXI/3ezNLYjv2yAmdmZMfuT9d7la474ws+cDLY5UYZ++
5pf7RuoPr/FHtLeD+qxybsz3Fc8e7H6rm1FSDmIaX6g1y//Qi/1m4pU5MicHCufOQjatg8Q2aCKb
l7k4X7Cy+Bx+bbzoH5IfTlwat3oY3HxVJnDDnRgy63jg3864NJQsWBUme9bUZMQqxecyo0I2oVbc
JcXIrmUuuJmer/18nHlOc+isr9JorFh+WeUjdTfszCJ4kK/M/wFu4jLis68zi6RSFGPUOTsvjeLv
KkjjLcTFTopVKApxe8huVqWtTpkadx4lIc9ZHaTW1aTKhTw85O7Z2j5PMXS1XA++smQPAm0p/Xz1
0ww7pFgoxMnU+Kr/wKcw8OM1HBMVb4b5ICe0OLA6MEfKWPyOhBxrTgNHr8Ltm0O+kL0TuIUOWxWF
tIA93uDqXiQxFBEYGDz12HAtTNwWjoLO7Uhuniiuc73GZzzz9JmodLYTeqGt9/Gpn83Wh9uRXkx1
7AZrBRLXheo6ozyl/EUfF90ovlyVd1Ua2lLLcBF5eyXTP55C+pG4v14w+Ju9RRXL4LOYcxMDYiXS
7QH9keANV7XEiO5j9Dclr8Rpq1WFT9q3Y6u6z3p7Mj5n8g9c0BLhzbqaBWO+IlBHctUwNoER5Wt6
Lq64FDZ25rjSLhiy7UiWj1BJ7mdszdRMnrioCmU5OA2HGz9+Wk0jUPxZvj+oyviCOU+IOg62/FpF
fq9DnewGcoVfy1ogGvTwZ+h+/H6x8iBrLJ4s6mt6S7P9VkXoOYZhRyNqy+m35POleaUe++Cp3YRY
V7HECv5Kqe3zr4ZL9+vefaAJeioyo3/b4s5j2BdJq1zrAbDHgAuLkuaoa3Vg9RWrrnb9+Nb6vQc9
CeZpVTtZ84BBOPrATJuzFzN87JPViTTv7j75SQhVPTuZHYUNleAZ9LPlASptMxaWOEhNQVOGFfwp
7Mk335lDVOrCRMVukMv3DOmcWX2jRUrmLW4NNP8gpkdOgX7vKO3tPpvPReMDqvbyf3pPW1usRojv
YAKW4ppU+fP2Ux+s99t6l4pvad4F1abP0ylsfOoEMZeVm3Mtlu/p1rNx71MJ8/RyuEJD861ZSJMD
julPAxnT3jvqCE1ZO7IpkhswskiMCPK1/HhUQZ/k/rii3kiAss1G5M6VGDbu3DXdDpC2ICfeeCe+
jstYaqfgrhkrTN9fTGlQypXxC+uuorHXQ6NjGRapnxHXOORS3l9/aG7Pon9LOaGup++yoXrFkqnB
zjvU+rsL40opFxm63+xGLJ5f/CEh9N7lmmVHjsaq7HI078aI30bulQatqJm+gajGY/aVcf0kefu7
IIRxqq4Ob31zasftXoEPrCxuJu7LTLsFutasiQGOY/QUN66nPpGu+XTZHnJQMBLgBdA+W3vEaXqd
UhkSpxxMTbs5pjraNeODFrg3r3+m6Q3xWT4Pxbp5POO3L8s07WxP3FSGhVgO482Yb8RPaDaRF1ka
OYmMp469iKGr0l7BLbFehGpTcV+ltiEVHr2kFxse4Q7RdLGg9M2BRG5CBoLNnqZY6B8NS/lY6vmR
Aoc359O++43XE88VuqghVkItFCtIHyXG283GdANalqyrW+uO30k4HHnmH+Mw+GDz8wYWlo+zdkQ/
M90WIS5npK9UlVeLk3Le/UgIKSILBymYShMhdejOKYdnsMylKLK8ZjKdNZYhLnvBnDsZm6P2SHrN
i6bEC0XmcKkvr9XnVKLvYbuk6Hu89TVet6mmR9XfPeoyLOZ6a0IN6Ed/zXbs9l4S1xBIvTeAya8e
H8ueQE3GPn4z9CiGcKHjY0ts8KcDUfw0dRUF96am9SMRirKjhi/bF5eDS4NIz1MX4/AVlHSrs8O8
RWqPafXJxaLiP8s1qrFsA2PT7/kDb3LkDg9CPKTBtgSHIFDiVopfZnOSwFMWybyZEoGV72rVRyIM
ri3PmnK7U12L5rYOn+lxV7hFT6lM2xeq/rX0vv1O80g7I/V1XhMkjduohjVFeWx7LC6g/3vF90ha
KqvJJNUjWTdV0sftz9lnEa2G8lcXMgJYqYYSS1txMy07aZca2dRvFl8MTDJ8m1d1v3PGTx7QO/dN
mr5ddWZ3tMfBYaHVRU6Mlvwy2Z2auMCTY/NiPqEDaQ6bD5v1aktzSeMJCn2ri7dieHEULuWB7d0r
Xh3EUGFU6TSqolD38Whuw89R4Ll5UVf/d8Ly7eYcl1D/hyCbl0Rt9dVz63373BliII25ReBZH40v
Ctk5fz6DokzhQSVH6+qbI7+Xor5p8Kpw9B74fkGEQAnL+F116nThb685Gzk/3mk8xvEC/D/ooSV0
tbyajxO1tGPdyARnLk8XSlCWEWdMFlFZaF4wn7frlSP1DLnAGyuf7QdFnvm7BugPqXz+WvbyQv9N
xU67J84fVgVdK7OaUDSysJGEPRWC3eU975snoglh1HRrrEa7YZl3or+5VM5rMZtNtry9cJ0Xuh7M
bjJRdUBwTK4tKPxg4xYId4Vgnwov3aUOH1iaORv4QnM1HLYefV29wn2zgz/syIppTacgq3s0/Sz+
uc1E/ct7r04+HZogsQ6eiXPNeMRlnPKXN6MVldmO79QHL1E9fTTWZEm5gwsb3XSlehg82Kuaz0Mv
8NHWYIHtPQMdDT3zzmS8XVD50DujlKfoqTdvfRQ5t0rtSFKaMUFsJN7je/3wr9PgflfTKFzcc9Xv
5M4leAJt6PMIB0rd10nHrtEtTQM3NZ1H+ZeVLwWHAgVMsxUcDik58yo3oq+kY21U9JOgZmm2JkTa
L3Sktsq/2IVe7JrLh4loDrEvhiZhn5nBPk21SS1UNrT9fC6e3Kr05Iuet7tER9HsK3tiCVd51kr8
W78hy/d8EeCCAcUlzQSVyuZk0XVxu1l8TZFcngCXtlIZcnn81sBUzah85e6HnvcPQvzdLLNXRH7U
GcypDpIIDgSYf3xuzMejDkKjCrN9EqFFjDwtd14roi2EzihR8+WTNPS36Glnm5sOsDM7UG7ZwswG
XoHpjV47cwmmSvfM2tHt9flNdcqrT04826Ibt12OGchildPzDib7VblGGpakREsJcq22PRzy2uIV
oc+rldFttdVwZsaFY7JbRbtbV5DUBROrIkTI/Q9i7GI9CTCFsJSkySPXQ7FF3xmqlaFkbNZgPlNI
3OtuivkvRbI3+RgicYMtr9a6Gwx+yI2kHGCOXvLCTQPXOKSuPE7MbQanRH0aVwm9klofsKBBM3JN
Vv783QcbtSebhLNceXarVYpO6t8fJtQGTSnvL6+9J52Tj7W3TWrBByAdAe2kykgx4k/ajs1lafVH
Mjed7jel77/ikKPbV1O8wbt97kfPGitvllCDdML2Qa8znm77SjAND7JMfrn/YuCwZZdoKSJg9+Yx
WDN9bpCGrHBaBbJQXxTrjaqKsnjsfj5hoLHySXI5/Rjus1Oh4RkvH9uZMZvsSYK4u9u3Y+Vc0Q9F
evUHO/K+29tmTZL36MPa817GlRg+XB+ln6VqdV2b7UTMer/QcdZU7AkuiSiyTbTFA2aJ7f4Xmr/p
3Dv8miU+xVZx7UJR+NmM49Uua5qqNNC7RLjHkU+TuUmQ6yxFvLEJrK4vkuPJ66C2sBC/Fqtbo/kW
z7sEVkjTQ6tuvp7P73cYEoXyBn5kwunJNDKeDrAn0trLE11Hp0WyclYlufhKSuoptUr31zPYzu9N
fa1mP0OhapQnUBFGeOX4lE9g8hA3qDGhfVWcnzJdBBdFq7ceUBUJm9+SuKLooblpvJKcRi2wpqEg
X+NS1dnXcDDzUWdxX5zAzPWwfuZQtdYp7GbSa0PTnih4t/joz+b3eEbRsKl5mXfq9+3U1fLnoper
mBWn8PFDDqkbzNlo93IBcduptgxDJEeO3nIyuIbri3LJMA6SuvuD1i42feMi8yUGh1sBpic8inpT
J8qa+0t6HFlZ/DXCm5EFeBtecRpe6/cxYt5jOIlWsrVPt80flLkHU9YJkTvk44FHu6q05Unmst09
Xdh4IRzhPOf+Bc2iHbRrCUwFYyy8OSBvkhCDyU2MFPd5E1bJEvKx3p/72bLeygc9C7Pga09k2edi
clNwmnKtXn05uUMsmnBG2qS8jrIORZ3tlcgS3R6H76+SrQRNvNenE1fiKTq9aaSGRMedS69RN2to
s63mfQT3ksPrAl40segWnZ8Pa1wPKpJzP8vS3evsozdVe6wlr3D7JO9t6M+ADr+NJw0zNKMMTFtm
Yvi2o2KeynXVTthqS09B7eECuowPTdoCZ0IDCJ+TNG6pG0rq2dRPbSwpa177YYIZ3k25ujrnem0q
bytRxTT/wE+XVvBkS9vmLAcVs//15GFPc2UNBcHA/tR128Kso8JvKc++J5Z9ml65+baH4UUSJVlD
phnvso7BzpxPNFmmLIukmAGXX1VD27U8RQdp9m5KcsoE4gWmQVnXPm7Uw2UqBdh+SnZe0xnQfB5r
hDC3vOKFrLM3J+7eJcnSy5jicfxh1byRrtsLr1XmqeuK06OhBoERL1MvM1/rq0b6HaZvwSo/cWfQ
nifqh8sOPQWn9UX4vRlZbTXiFpxxf7tIr5VCpEk1yiMvUPSuLmruoowev/Ch2H6pS/Ekif5IOK1y
2OjGYpiq/wDrAxvaOR87uuuK3vYxL56YUz6La595IG1EHe6iNj4vqxyqHPJ5UYPyWSxZAqf1/S0f
jeSPbefcLIvtryXCoqEnqX5eggw6DrN05R0oKNQP2k14LiKqm2OGuyrRq6rCv+Sj8vwry6eRe2JU
VKHk7alYsZ044hA7rTdtyua28ACLkEz9uvYb+z1jhS1WiCfBKLAp2OxMzYTrO6k0hBXhIFX7/tNg
hKslTmbR3cdkWKGHe86bVnFLJNsz4uzPm2+Y/atuN30jwTNGtyrfiAiiyH+4WYzNCJTpZ6bOWzpF
PzpzjB9UFHtK18YP0TLz17T90SLxYKbElI+T36DRJ7bgtnphMg1sf76xOFaYRtXrkl4BaPc5wFme
kE1ToCm9wIW2xIcrUEke7xn02bPbmkVkBPyV7lnJdahs7ANymQ19m1s4l3z3BW26n0gVXJ/+bMhW
rdlZhrxvpIBeBgby7BMO/QP2MJnRovKbwnfa+/PUYp7ORLWtKjZSC/EPBJnJPJENuBsefy19eLa7
DZ3yUpbnUj1PddfzRmfdw4biF/mcDwVcYk9gi0Isin7EGI7r8OEkMGMXGN2wXlX7mqBg0exFVtYD
GU7efcAjxBOnxRa8kSZS2jFRs89wl4SVCu4tmnxSgyijoNe8m3TYx9/BfO8DVXdJ4d5d/SZRZXDt
lMi7+XFTB/XzZPdk3JFmmYUsJQqwIlocjljdMD1cRTSzNHII4xz+Lilq5M3rnej9meHH/T2rRrb8
sn4nWb2bzPbfwDVXgsawW6Riy+DvA/0ouR4qyxbhjbNpejUtbT/HzM56fX5EcA83K2t1vieNH1/d
0E/il7O8HdXZkpEAzDs9LqzTRyjFRIaT653LuqByKPHO5pupoZzsgwKWv5zOrhTPUJsrTwsujJrA
+IYOx7ExDYHpy0pR0hfmO3sCBNNpjBJBTx71WHlJvRa72j/n55pRKoBk4xVjndZ90nqTtnE2ibtn
+0UuJ9hgG3vNGTdktsLXubF4RsQkX0CpSGjwgGa49EuvuFSEc8vyerOfjqiUxwsH41sFu2P3BB1+
PEozNu6pXxH4eW5XMkmKNaXGriR4OuQes8FMJTaCi1rqppCD8msTLYPSC7MdgcfvBpzm76/i2h3H
Z8gxFMdkrVLdEDpEWWFTwle9zjVGa32QT6M7Ta1aez1vh8pfbBF90itXLNdmQYPxB5qX6rt1mtal
964f6pi94A2PPR70yfoY/i3pjHYqDtW0dGIBd861ZUXzT8w80OqYkmt6SW9UuMJ7rTeK+oqGXClZ
NANZKJ8g+TlmKOt8loF30lFvz1V7/bQDZc6XCEahA7nwMfC6uK2Mt8CXZkkcbcUt2RYhTtGznlJc
uYR+mML2/RpbfeMw8LrQXr3e15T3wg0qSkhRkXHs45G45WN1tgo2urOpD7oD0X30691DNgFsJsKX
eD07sKkaRRnjTmEz1Mc+Qfur+ctQnojznzUMMfhlofWBnQpSfoXzXvDHPesg/uIu/vD2k6XRn+6i
FdF9e1xtU2+Lwi93Dhat9aCTLbwlts1yHp/f4dOHkdipYKakkVoFrFz8O9PnmICQyygvv1uiBu8O
oy+ps0PLs/hfo+reD1eHe54z9PVd4xsXsY6ZzxVJF85rYhTFqnBOlDqrIzWjP/AHXrqwsJot69bt
iIEqG8xFv9FUGbRzlMMqLmPi9gk3qG3HxDqku2ZkjozZWkKK4RML88dUnMjMaKdPGDpKprcOZWtx
kZdZqUEhFR9b1L7VP4ro+tzhGwZzr+CL66vZp2gB+ZOiUy9x51cyYanN54RhByltWh4uHziNSAyE
yGe5uokVnXOzZzI31SKZFFAk9bpvt/bSSHkKViK683HnZNNYw/1LYhQp9dNGnNnVROmibN7Mak3d
N/jhbf7xPpN9WH68rcikR4yPiIDMYGaajao3L+GxWcSDOhC7vtWYT9RhOfbFLK1KasMnq+D0uKuf
oD9aFOiErVeUIMdtbvfKgbMT/bm4D+sGcIG5t+3PfF7oun/4SWa3aetbKDxlGhUFqZ+qN1YAXkQZ
BAyR5/tZy8j4KjVLjeZJ6Zwv2pCN6Rw9l2zviqpAFCUESrbDL42pXDR8c4XbLMGNjopG+H8A2iib
XgplbmRzdHJlYW0KZW5kb2JqCjEwNCAwIG9iago8PAovTGVuZ3RoMSAxNDE2Ci9MZW5ndGgyIDYz
NTQKL0xlbmd0aDMgMAovTGVuZ3RoIDczMzIgICAgICAKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4K
c3RyZWFtCnicjXR3NFzh17VIkEj0JLpcRq8zGL3X6L23jJnBMGYwo4foRAkSLXonRNSQhGjRS/Qa
EgRRIoLoxLtSfvX71nrfdf95ztn77HvOffa5HKz6RgKKCKw9Ug2LwQtABMFSgLKOjoYEAAaLCILB
wqQcHMYoPBr5N03KYYr0wKGwGKl/Iyh7IGF4FBajAsMjpQAdLAbQ9EQDEBEAIiYFEZcCgwFhMFjy
H0SshxSgAvNCIQAdQUATi0HiSDmUsW6+HihHJ7wU8M8jwA3nASCSkuL8v8sBRVekBwoOwwA6MLwT
0hWGR8FhaMAIC0ch8b7/IcEt44THu0kJCXl7ewvCXHGCWA9HOR5+wBuFdwIMkTikhxcSAfwaGNCF
uSL/TCZIygEYO6Fwf/JGWAe8N8wDCaBwABoFR2JwSATgiUEgPQC8ExIw0tAG9NyQmD9k7T8EfuDv
twEggpB/yv2t/iWEwvwuhsHhWFc3GMYXhXEEHFBoJKCnpi2I98HzAzAM4hcRhsZhSTkAmBcMhYbZ
o5F/OocBaooGAAwvBfwdDwf3QLnhcYI4FPrXiEK/ZEg5OFQxCGWsqysSg8eR/upPBeWBhOOxHr5C
f27WBYP1xvj/DRxQGITDryEQnm5CJhiUuydSQ+UvBeHpRvqvnCMSD0DBEuIiEiIA0h1A+sCdhH7J
G/u6IX+DkF9pGAYR4O+GdQMcYGgcMgDlgETjkKT+OJgXEsB7eCID/P8d+M+IFAIBECg4HrBHOqIw
pP9ShwAIpMOfWAeG90D5AFZgQTAYAoB/Pf882XggYQgsBu37L/rv+xXSUNYy0lXk+zPxPzElJawP
4C8gLAoICEPBAAQCAQPiUDAQ8J8y+jDU3zbA/6rVwDhgAQj4T7sIT7d/tOz11wHcf7eDB/hPMV0s
HgVHAtz/crk1GAqGW4OhkP+z13+X/P8s/kvlf3P5fzek5olG/4a5f+P/DwxzRaF9/xKwrm6eeKQH
oINFID0w/001Q/7ZWh0kAuXp+t+oBh6GRsEVMY5oJCAAERUEi/7Jo3BqKB8kQh+Fhzv98cyfvMmv
XUOjMEh9LA716+cCCEDA4P/CjJ1QcBcMEocDoH8hGA6OxOB/X+OvGIlB/Fcfqhg4FvFr8YShYgDM
wwPmSwoGIIAwFAr4QwAUBoH0+W1tQEgQg8UjkA6Amyc+AHDAepD+umYIBAIIYX/l/obCgJDbv4Vi
gBD+d/gfb4V7enggMfjfZkFiEP+If+8+EumDhJPOTGLh0mHONWFNR1WKjN4CK+9liLbTjsyFBd4X
2l7Fd6qO2i0+NsrKnNUqU5vpgKjZOrfoKrkfZX+c2vNfrr1T5yt6IHBHbc3xjn3C5MXBpfEn/odM
bJMUrwjyzFKUWKRKPDoJ9JljKFuvySMcO404KO5z1bybfuLNebNUTVwzvEm3ubWqNFP7NpOk6dcl
Q/xr+x7jFegPOq6cJdf40M+x1g9TddPZtGSaj0kfe1dSLnT39cxRdTC3xQRreoWsfGePwFOpSvcw
qYiSVJrO5ZOf5ZR4baZT+9ur0yjfNtLJYzWkI+1Rzk96vU1nfQYiMXfOfOj0hHSTjuJtfvqXIids
UOqxCLQ9VCI1Z5wt0jHaHyEzr2YY1Px6KrJvlPZwhmihbxl9vXW4kTsTdN/peenug8B+RaMY57QX
cEsBQbNc5CRNXgc1rzccfP3wtTokVcYnu7NwN605XMrECTiUkDU4FdNO3fW9x+LNVEocTyHA6Knh
skql6JXTFucZZxS7OIiKyBPTL2W6auoUw3Trc+SPMmqWh5Of6aU4Vae4JhW5SyIlZkv9K3WjEwM7
b4yT7Few3JS8gyOXvZuNYHb3t19SuPOZ2iIoh2AA5IFceKJ6Nf7oDjuvH2ZC4Pm7xmkPAUoMqFhO
dyo8a+0hLorrWzAnkbnEXiMzARXdj7MPhFU1ByJv8tJSXwm1tNyrVqZKEBH/YYpm6wuaXU84OLYn
Kpug1UXqMytoNZKYwrMNwyRUnCQkyzZP9/Nz3fw+56Zrb2eoZT2wmVhOa2pytWK0ODvIWzueqLN5
l3QI7B1E2+06md6b0oBsaR4snw/OlBXzynS45fh7yR/esGZqVG9JtTlaX8+UUwGu0eMHr5sUg35u
SwzShvK/mD1Fvs1fUxcAeCYhyheioDXJpYl6pcDUsqQ1lRgN+6s/94ntrovxP5KVnovB8g/r7mvo
ZDon2J15mWIJVjh6qJzySnoMUJeA1xlQc5mPXWXP0U/A6dqMoWEd1/oPqN583H58c4lIBvb49am+
VEbdqb1CNqEriIDriPbz3pzDUF1MBRtyeR/KyrOLoqNJYdCUyvwu4s1O+ZH5pIgcF5m8urrxhZzj
fmHQj+yRl08nyjguyDL0KNkqv3qbeteANZ/+zLK+ajdbpdq0yFj/zWE3rItCn+raOqjPAO/e2uAp
BwfzsffBc6S2JkRBAyKGfE6Bl3wviUCrX5wviQprhT2rD607cF3ZmDfzE2TMd1xhdY5TvMKQd39s
yOuRZCqS6or7Qf98l6+alXv7DEVXeyoh2jmcdP1gpYTgSeYqUzyP8+jTYtxlOXRJFWNpinBNmeOX
kTQiN+PVFoWrOkL+Vo3237QgumbZ52+ZGU9sp/A0QSolzL3sH3alFzti+fnPwys26pUsDKAiacQB
rQbizThDoLH/vigzrON1zClLZZSsxNQzSHKuxXZIHcC1K42eFAExu2k9ZMi4PMKAwNI8jAeEmf3b
9LvkJ+dcjvvO415Sanl2mHAQzt4qfdAIVbAbUoKl8W4TjfubPG6KzwilFuh+NU+onh9RDmnTZnwI
NWlVA6+fjobJbegY0t64NEUxDOFBuGcfwvhlpkLuGKYkj7YrlVg8mLHLq0nJbXg9fgSRzjd91mt2
64TXxvyZ/CmZ/OFVNgIty1dRoREEzgoGElyhyI+N+CXzxpfBa69k5m6TTx+/2Ux2WaX0P+jFCVgS
5uS5uruHe3RoULvOj7sT4IUkYTkRujdjiB3hltu3x9UiHV4wq9xHl25oJ1gctyk5HzpWnIRXZZQE
3Kv8HvI5s8qJnTZ9lT093vhupwA1l8w7Rzs1cz8p1+XDgcPTFlC8VRa9VEMgqax1qerB8v5YuX03
CREFyeZM2aI3/XzdI9+9vHOO4aes/g5lgcHc3gwmATpdYWJnV2mU7jwFE87mb212fqzizMf261Qp
gVUJvAlon/vcfWRHxyEk3zD5LgYOvdLrs6t5cnlkUGPY+Fw6MEmak8r6JJH7mg6x35yLEXfUpeNX
0ZoFIxBbE+dl+zVkqJhwCDNfpZT8qz2yyh4Rzotlge+qb813hayazgu82jL8GhS0dppjHUAbjecP
SH7M8eHUEqQHAsClWgY5ldZ0LXP5lpSZjKwDyoFrohyHQR8+XVAyLahRXpyqV4xQ6p4JbzCYRAc/
lgzRSBhX+hLEDBXbBX0+ff4RZPkRysnGFXEwWxlAFd7m+Nzqy5dA8uDF2salu5d5AraMxkInt7bG
GX1587u0AZk2o97hHqb7PPeCOtHqi+bTx73LNQe7dTmCAW1C/gw2hQmTaLoX9ddoR0qo2G6zG3ip
jo6ZvmVa6LLIUejfaif8EsDExyF5PHZuQgXepe/69PFCB37t3VJHY9hbiO155Y0pqnFEOZMF3X2u
0CfHoeUyZz8sqHJuq1LqFcooCrBfqUng6p2PbaPUs75detyspKF8ZTnkQdV971iJxVqTjLHW3L1C
Q4VqBUGlnIDSK0WxYvmhwSHCfQXGYXqlnT8ZQ+gbdshsVh+b6nYrLnNqjA8IG0L2Tqevx83OK5S2
kvQr5dCzTX1VfmwXkknrmDvvqRzabfbY3OluZ/RzbcGtJQ5juEcgE67HSjldw3CAriG6ro9r0nwa
8V7sBVeK7a5cDGHiQaLhQqun6ZQPaDdTztc15s1kBucC8b7PG+Kc7ZgkooRMlh9XfXMjXI7rmy/G
XXzujoqL2MVsTj+ceGkLzrMMSTAa4phPmS2XTXUm9oGam1moZOavkbBG7b+S4Q4+Rk46vROLe1jw
0qkht35Kqf5UgeQWfWTuqrDeRq/hLW7WdTqtm7xVc5Usj87TXiXh3/XZfiGZJt/ZYpNmBfMy9pES
E+DVa09Jmy9o0ZUSmhYUCfcfz94hfVMO1ZKMCYtn3p6gntvZdc0ksRh71j2AuQmo9RzKCcjz1LP1
lBA3SJomdRMzjfEWx3k7k43T9Dse9c8m06fEYjO1V9o4LAIJLXX6z9sAKbKi7LqEVwM3Gru+tBIA
4UPfD9/mxd7MXmti1WdtHkLHQcD+am34DS7zjcLsxMYvWoQdqjqXpyRGF1fw+5P9UdxnBDkGIndc
LEuvX0uL+pixkSdakzOMspO8PcTC6VsQhetDK473pYrwRi0RKvi48CsQ3vdpXZ4Tyg2bGRnrS5ni
0ZuUUQxvp6cy/2E6YRp7RSo8Am3j3C6KNnShPqHwCXZPyC60Xj+nRPNNheoxNp3IqyVZtBLCzAa/
3XUNzdrIq7FGZ09eE5eDP+M9VUGqFrHcv+ZwVpV7Sd2LXIzGmigscpi8zURik+1tR9Ywiytk/wFs
DXzu9AEZr9jgoNwzwUeYuZ2fAF342t8NJcnFrr/TbU7xph60jXHJbJKi+aROdipjZAS6653nJdZN
2t9NUvOmDoBEXg2+HrvdFKd+fQc5DxoM2eQHNO602w0k/hy3rxRrI6LrZDk3myIky262D9d6dytz
2aX85EfoD1Bk+Etq0tNL+OPFge3VhXu10+eHLCc0uEf1JQ6CD8vbSTBfneDP+y9K8zF7qtA4S9F4
EDvJWYAIV2txQ0WHzvum4sCI3QJCx/EDeFaawVpp3bqV4GKClCAb/fOwxtoiH1KmaBfL5h/VC9Mc
HAQ0dmpumiX6smWXX/egyyki54IXNrlmu+gRiVR8n6xqw0vOy0KlpPcIOvvl9d74QVdvHlLqDfPg
7tJ13TAYdru9QvzT9rCjAfNeu5aVoCgPQdfmxySTJHKn/dE0XDz0e/MXDnJSZSOrhzsz5Rh6lc1r
uzGnwuLTnMLP2fyMJe87V2v3139xu21zYjhbPUSXp679sVowRmLY1fLJd7vzSMWGAAG/uV2y+FnE
trS0T2hwyFO31O5daSBwMk1mdOgrR8tShIeP4HSzZDHfvHFw+UXp1+JZf8UuAlH6Q784nhx4Mqzo
QYQ24Mwh9eYyfyRCvpQAKzCVRqSB6b3jK8Fm4Y6ZZLu4+mn46KiBUWV4MvmoUcdgwpm8KfKii85Z
8FHKSeaBQmZyYoDB95/dfK45anckJ1Qm8vqffX+xfI0sDk2U33Kb9dnsioVR7XkERvdy0XJI7OpS
CgjizS4oVqfhk0F1ecD+TtCAVL9K7/RI2DPZpg2uC4PbW18j4FcneY3tXB4If8JvVM0iqzjuP3C+
G1bI5puInAHzJ0JHzErIDgX7945NBrJO4jMjZeKsyYu1RNc6ezV2b14ytX5sUkAUGFhuHk17sSPB
2nYgEtdR2HpYURAjqezJ0R6oG/Sup57bYI3Nj/XEYfFgqeg1Fe6BSqtGM/1oFgB6W5S8I0RVNtM3
ZpmPm1AmRdzaB70+9hnLYfioM/y5+YlgqHTDE77Aay43KH0r/Vb0Ot5TvP/gVQ3+DHE4tpwQUBu2
01/QKnrYq60FKISwm7QTq7/WZJ3P1rncehi3eqOQvIR2oWTfk+vNe9ey00srjoQWdUyC6569BToM
XsyWscVfixwGOHVP5/rC1GuPfAkIFdbn5FVOd0wDC7LoObCV7oXfUkRpcX0fn44ZpJysDCt4NXfH
sLuxjlfQGoVIYE9GkznqhOVhn5zHBCYXCQOlnJKeph9DBmkaRLX6CzhVvngGfRhnXiJJJqQ3irZY
oFygcPKfyg4f4mjZ9Um0CfVK5JVJQpoouyt0xnKuf1YWPOXCmBWGMuyaylnTnoJhIALGbLKolmj6
bwE2PmchXoYODTz4AsoCnPb7tcLTeWVcVpydmcIDUMfayzxxlF5Kc0ufecnMQhKe058kyB41mt/Y
aIExbXO/8ipkIHeB1TyUPt4KuzV4pcD7zO4bwFausLA8QmMzQpGrKZobuTHqYaRaPXiDj+AF/0tq
cMqg5PPiFBWzn2o1bBGRyheDCqi5Vavx1GsKl7cCJYKTGA588F4J2WWC0TQOJrXsZNdtfTr8XdcJ
au9FPIo+uQNaC7b8sMI/uHNucPrTsCa3Ymi2/koX2cOgKIoXQBZHMEuYUQ98C7zYqJ6fvyo4O7Yq
/UH28FvSRpXEAc53s6Wea8/ShlLRp7bP23Jyw5lR/WW2nkZXhHh0Mf8AdAW7evDsU0t1u8yoi0Ix
B07D+t49RY0HV6vVBJLvbhJ+pmGyv/d8cRMTNHIiAaZuLtrh+GDwOs7WLWOoq8MzBGeTVGskmiFU
y0g7E+/ZokyyXrsnyhdDHHvTyDLI/bvbvZEX9AXfg6PRKi8WkkafgkUFDL3n2MHJUufU0xvtt0Z/
gob8vrdF89Opaw9qX73qTXI2mpeuZTupO/zoosx+J5lnoSV+zSANm9wHrfnx2eRBlnjI6ucLyv4o
3iFF9VLRdohHguuj9QuyrcFM2XvDH0I1ZPYoeU0rZLn7JfKPQHxHfCu+4uvyGPlhDhXFIFyResXH
NGmR7FuLP6GXbXmdezLvbh6bRENICDAsnUJplFXehLX3jOozHjuWKTDCnnPhRpnuejX5XFNdfdc0
a8uT/MYt5Mpo/Nhe5vdSHvaT1NpOZtp1S688NaU32uTqqRJewuUtIBjUnPTLULfobFj2D8kjhG6v
gkiGtaQZPjs+vXLSWPuQ6sF3Dqmt5dujGXTTBcPj5pcl96kEbOL9Oe2OVyEM9uIBfpwR5SBRGweG
m70MUO4qtMyzG8SDpK0qnAI2NFWXcsekqxP1OtMMxXabnwz9SN1QwkZIFzxOA0JTHnFQC8IuiQo1
tglY+e262SFSa5eMupeFVz65wN7qP8Ly+MECIuQezH4JS3NR354OVEmDtuxAx7FyhAo2ihrNrnaj
9U+eX9vu+MZUWVimWVgVgv0abXul97Frw1AECzamOUbGbZskWNNM4fWLAQKOztT5+WwXAuxNT+OI
5bmxuCBGov0w1NyNclWhnrroVyv7L0SdMStRBi34jrfTempnciAxKn0TxUts5jMbGa8GTqPmhJRs
j9u4L8fHJiuQY9hB0aMUtNt32z7OrxUmga9+rmt0aJv04J9cRhCwLMbtDsyxVYdtbru/PeJLw53J
X8cUllK/DYztOVZ5TJWmHVu5e83vsfIMUJEZc7r0+FGsb6myav/PHc1P+dPDPuWjlemauMMM1pLd
tTPuYebk8TS5pVlHnM3hewnme9IZ1MTjFbdNCWRfzcc7udSEZz2JNybRPDow16HmTZYYsJ3x24Qj
n8ZR14yEq/KUGSbfaGFNFbvS6V2/kxe+tHOHMWNcJIXqLReXGBuut9l1PZRZ454sGM7hOOxzEurw
nTZRmNsRskX5k2jVgJP2FojqZ7pblF5s/d5lLwuF3Lv0F+P2iQ9OJ6LUrQ632UfSrbWhffkpN9+f
zJ5OEESROhQRCrVTiFHpHRz4JiWOPAw1/jwgmXY/7tRGb5Ko+16Sc8X6TC2Eki8qMt3sVigXolg3
/fPMO+7YEvSnTkjZC6XeWRU6W5vFgia/q7t8bdqiVZDUiHxqg6cm1O6ksSxl+zfV058o0bE0XZDN
PTFV5Mr7ZrRfcuY+RpV8w9lr5agtlOfR7Vpq0W9VO+Rj5MMxTfTXkfcnmFCdLYzoe55UoUIxq0lE
2EZPObvpWmNCHlsjohEBlnCMd8A5//UoS91XqreGlS/9qDy8bnE9zpAI+dKvffzgu0jTEa6e2S1o
+KST/ca3c+HwQcO78rSCQJ5beHEOqI1Pl7KdNvVkHimnv1vgQfdhT6OHw5du81jhCsEzjEB5VdGL
jiUj0eqZ9vpx/4b3k3FFFt+t6Gjf6X1zCitSffYJFZuzbk1Fz0ut5POQUHly+Cno2QB34ChItquN
YSiRbP/Juy5z65KeSd8Fg/f10PWvZXbnbpyG0PaHRpqTtkD6++XxBo8fyeYtq55T9NH5jz6SZT7+
nJXPk03dlQR5zq9UIv6NQj2sWm9CpZtCFVh579L8vt+6dkAvvKdk14I+VuHICZOWLMW7U7JaF61g
IJ+eHPpSX5VOJchoz7oy5uTZBjA/nbucU1QVVqlcS3eyF76n42Rg8CRn1EdnKPWpite0zXpsY+7U
wcmL0eLyRc0y3tfGS/mgOba9UacPjOFTOygzOyhN39NkBjqY1qBxaRnDHvsUKJIg8rUg0cY3ILgr
9ft1i8swItcvQe9kCROGHHbNlkAdt2ni1/Fdzpx+6HCNBXMFenxGcOenVwv1SQ8Ygqt4T7a/vSXk
krvn0S5kzsKcTvnSlHvrMg5bdjlcPazdsIggfKf16gSSq6596SS3kD87zV3sEVLq+m0oeuH054j+
t7ftA+ScyeIPj4Vuvcikr0k/+Eqq+sSH1yKDmuRwu5R9eqW9c764dTFuLL84dyt779uDsohtSBL0
oocu01ruVvHYgVMVaBUyojYQZ519T7HChaTbSN751d2llGkpPqMbKg1SNnx3i4w7obQ322McbiVa
m8ZLWfc5VuyDe7ZfPFsCkjRGa/ABpO/qsCrvXCh2cRdyfOO9t1k6VKbPJeZOoJ8CktGLsVshRvwK
2/nWgm0H5rkf53s2pNaHpKmj0usHr38MAF3zS5VGyMuurXuYK1Fk5Hfpe+bAne0/yXYtzwazx6Xd
UOWHR6cLJ/h3lW92C6w2QOj5RwfwmSZEzs9FRHFblWHXIQtBkA9OrgYVs0c7oi2dpdFGHT7aWa3D
VNoxGpEGKT065+lXncK6KmieT5QmpprTG2dGiHCLvMCWT0VEg3sLnmRday3cfUNTdPvhLJVFNZds
an6iY00kjZ4gJe9+aZhpf9MZNId9Yf+ibvAk2dJqpDOEmBh3z9r4FVGej++kj789zMjJJCje8P5s
cxe+GipzM+T0/CdZv9yzUC5GIxUVj8JUcKv6JOSDLaeYLl+NZeuLnMVLIRkO3YpXoscqSqppnjma
RWePQc0VTMniOxsQ2WkwT91ABzP/VRGR5PDanmYg5it1nEgQJfNLh2fba8nz1QZWNXJDzx/uHt+/
5PjhrrO3hwVhklhlcc7m2EWxKQtrqTt237zdSMWs8uWcgN9n+YAteSO62NPBMeyljRWtabV42izG
pgc1b6WUZtJSzdUER0fUrVyE2zOFY2yt44o4C5oz+pVJLvH3cXd8W7ZhzReX1Vh83TXUvODQnyCl
InfQqK/ge1xe3/ryPvKRQcjW5BR2YqNBoeGwhCZJmo4z+eWNHzufwT1FmMpY+aSpG4FlBPBXe9Xy
BRWB03LccV8KKXXg7tP64hLv5uuupGXtjvSmOkgfDpUGCrX30Dy0+T5qG9FgoZ57Fn9rybuaiWEu
wFFgO7DQHeniEFbxOGCwUIxeTDxeEtMp8ZY8ByDYvgSurPJ0Nz5iD3i1TguC0Z9i/JlKRc5E0buy
6+RPqmciHLq6l1s5fcfOZCisVCLz8Gfqbw6dfjKvq5xk8Tx3HTHhRXw71lPdTbvC+LzWgK2aSugq
pWDs6tZlgnKRSzaJfVvlxNNPg+f7SCFFE++lyChRCU0BtMfRMu+MPKNIPikegzxLOXxzwZVWAyRp
Cm4fnHTT+F/b9v9MdRYOHiqS1dwkUKcXvnbgSFZrna+34ijXTNziaE88otHK66vmeNc5hTJSZcLv
dqNg2RUhODlpY19wjbHVSRtDDyGDbez90dACY0SPJ4fAJxLezf8B838wmQplbmRzdHJlYW0KZW5k
b2JqCjEwNiAwIG9iago8PAovTGVuZ3RoMSAxMzY2Ci9MZW5ndGgyIDU5OTMKL0xlbmd0aDMgMAov
TGVuZ3RoIDY5MzYgICAgICAKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtCnicjXR1VFTt
1zYNooQISHNoUGKGBulGOqTDYeYMDAwzMDOUCEiHgKCElIgCAhJKI6UgIS2hhEhIN4igUu9Sn+f5
xfet9b7r/HPvva993Xuffe1bgMfUQkwdgXUBdbAYghhUHKIIaBoZ6WtAIQAEIiUOgUhSCwhYogho
8J8AtYAViMOjsBjFf4No4kAYAYXFaMEIoCJghMUA133QAFQKgMoqQuUUIRBAEgJR+BuIxSkCWjBf
FAIwEgeuYzEgnlpAE+sVgEO5uhEUgX+OgDBcBIAqKMiJ/k4H1D1BHAoOwwBGMIIb6AkjoOAwNGCB
haNAQsB/UAgruREIXooSEn5+fuIwT7w4FueqIiIK+KEIboA5iAdxviAC+NU0YAzzBP/uTZxaALB0
Q+H/RCywSIIfDAcCKDyARsFBDB5EAD4YBIgDCG4gYKFvCJh4gZg/YMM/AFHgr78DQMWh/9D9lf2L
CIX5nQyDw7GeXjBMAArjCiBRaBAw0TEUJ/gTRAEYBvELCEPjsdQCAMwXhkLDXNDgn9phgI66GQAj
KAJ/NYiH41BeBLw4HoX+1aTELxpqAQFtDEIT6+kJYgh46l/1aaFwIJyAxQVI/D1fDwzWDxP4j4lE
YRDIX40gfLwkbmBQ3j6gvtZfIISPF/W/fK4gAZCByMtJKUgCoDcA+sPdJH5dYRngBf4OQn+5YRhE
UKAX1gtAwtB4MAiFBNF4kDoQD/MFAQLOBwwK/PfAf1rUUCiAQMEJgAvoisJQ/4sdCiBA5B/bCEbA
ofwBe4g4BAIFIL++f06OOBCGwGLQAf+C/56yhKmuuYW+1tW/e/4nqqGB9QcCxaAygJikDASASkJl
ATkZCBD0n0SmMNRfhfxbrj4GiQXk/9SL8PH6u2bfv2Qg/NeSiAD/yWWMJaDgICD8L7E7QGQgcAeI
DPT/LPnfKf8/pf9i+d/F/t8l6fig0b8Bwn8h/h8AzBOFDvgLgvX08iGAOMAIiwBxmP+GWoN/FlgD
i0b8d0yfAEOj4OoYVzQIiEGlxSHSf/wovA7KH0SYoghwtz+y+eOH4eEghvB7IL9sEIP4L0JtDByL
+LVIkjKyAAyHgwVQQwAoICkjAwRCARQGAfr/likgIY7BEhAgEvDyIQQBSCyO+tfEZCUBCddf7xKI
+xX444MAEmgQj//t+I/b4D44HIgh/J43iEH8bf/eYRD0B+HUEx+w8GsR7pURTd9fqLP7iS0OSErT
dO7F7VNZL2iz+i6bhWkq/fgq9fTuuPrr0aW7P2YZ1iWLzuo8bJghHk4ztzPuKjJPVDeRI12+iN4e
YlD+uY439JFcMmhttbsphUG4Mm/Xm3f77auNiFwW9d5dHMte1VUSrC8/LHPbphSq3RC/QDKQcJeS
RV5e6gJJRLN6dnO5xkv1kdEWfX78ntrA5gNOndUfGR29kjLznZMlosSouQz2tTUaL4P97DWVhytt
smwGN4eAEYGFNm2WoyThsP2miFBhF3yfaWqZwUrm+FFXAPPeeIYWE8syR7z2ZS1IiHsHVQDMR6P2
+JzVpCNuLUjKWqMrz2C/di9QLvYkpETf9vt48NLt3r7N5/KK4V5+FLE1Z18UhLEhA9gwr1oWpW+4
rGP69+MwY5fRFgRTl2sXxJAmVhUzaUcifThf45TOXPCcJZckynqNtSuR61idQ0Z5UeyzuJscTfc3
m5b8CmM5suMLz1u1oNy6t4WmoEckofoWUJYnWos3uP3Hi2Vlpp8chtyR7/kUPfq9Q63QvKIwRaeQ
0YFGXJDokZKJ7DIB7eHZQEqfKqfZ07DJQWu68Wi44cLPG2o66CSvbLPadYeypDrcDDfRk/CmJ6T9
zBnqySv5p8uMTsg3dvuBuU3qO/V0nx7sfJDlItZnKnIYGAhuKyrxwM4mvsNzqQfZHyqU5A1PX1ab
khs3JBJhYy8Mmu8V8ATlvEvLFXPHs07aFVbbn8qc848csaxJiKE7oddRivsSeiufhzsq2ylSvy2Q
syrznBBYVEbTu/q8lao4fg/ZzX5/0nOoYOihSqiiyu516suGzT2qnmyG5DOS18MFyZ5Z+cu/K95e
vyk8mLNJepl4ksVAa8nTKdM2V0A81ORZ3gddMqMJ7dq1SbNaYpYUWbrNk11n+CfG75/j8bcn6cCw
OhSj6lvLTy3D75SUJsvLBDt9TAYhUkxWUsLBGZDLuw/taAWePkRaThk2Hir2dbFQtrylbF3JCV5f
Mr6TkjjqnhRIPmMoe1XBSf7E+WI+yVYCvMjkjnpZ6jdYdNhAmBXI8Vicm8ihmD56CbLs3GdF5YQn
Gf32qMfFmwvdNXFfJ75+eshI3nZWW+N4P7rty2ZAw5Aao8ZOpOLklvoOvTfGtV227T75ubG3rmr4
L7IfDVOxWdMsN6VWAk76Y/oUyLp7+oeF13HUNw73QhRnSgLOXWk1FM9iv/p6uP5OJnnX9/45j/JX
EgnlKQh9YETB4Xq5pT3u8qXvzUyyQgOaY3aGW4a7t0tbv1iZ+EwY39TAXXLuYln70fjBRP3O4mrK
osY4x3Iz3VLN0Le++a28qdG6+VxppewX9RwFoq8bpnr3uIoRg9PLe6yLaTxJOA75EJxUwQnjAYyT
9Apkcdpaw5tnmlOlQ9NXVLWmYZbnQ6LOe6afLbv5ywp+aWxJz64LmTYGpNfpDfdsvJFBI8mmRtM6
SM+tJXK44V96PnP8IpZT/Gx0f8wfMCV/PL1RWg29+ihfOAkxazbjsbI/wBfZkbl6lUlirTaR71oP
XuzcTsj2kcixc2m3+07WshIvD01efTisfKFeHom4M+JeyDcX2yw4qlZUqLdwwbnz+OXyOTJH47iw
frJozKXZO1wmLLgvw04SpK2XKeRarrHo6wi9ilrvwNiNELbM74ymvWx5LTJK89VJfYozpalk2Tat
UoJ575IW3+sUpsIPzzQTxc1jVFys+D0XWcmlHj0w51+c4B+2wyEcQ2mDyVmeBdskJJSGzc5mitxN
GR97A9/Lt6StPVQOi3qzV1b8Cdr+o6T19VOVyFRPdP7RuIj25ymjwTYT/Zw22RhiLuyDj5nLbctI
EeT6wPFWHJI+Ay8cUSQ92KttRZkij5t122zszrzsUMCRP/dc1i1IKqDJcygZ3jn2kRm1HhMhsJ60
PZc2GmnpNjKfLDfxJtsOGnXKCheohA3F33P029ejrBZ4GXnvpgnAJOY0Gzf3SFztK3FfwbBM+tjb
wuv3BN+4XdVgfKkPYfrBzFSFoNvN5nb7uoy1io3bL00zRZmYlxjbUOnXX+yIWdqz0jBeKKHEWDBY
yk8sHSae5MSclpOTq8xSN2R87AG8F0P1YRkNj+HXygcb/fnbhjpMXHSb1B9vBnP9/ITZgSbV7fMQ
WXcFKLr7Hvre3aSfSdbZRgZTjqAwbV1at/1PNPoyW7Jv7zAYS96tkGvZNjJ/EzEecnptDuP4k9LP
lpJCh5X629StGyxBNd8Sa/Nqt+q+731IfID9QmRg1qqm5DtRyvV90ojIX3fv470pwrIOQ4xxtckl
qS1kYHdyu5i0/9XjrkbGr+99IJSv1p2poteW7rA9Jz3hhnrEkCIVIm+Xxw+FGaUwQ/NuJeK+lmh8
XdFFF74X6bqteN32ljdm0/tWehGUb/oa8d252of5uy458a/hEw77IqqqqQTSihK7HJs8EL4sfu40
x4n9MTJZhSJ1M0a/8hLdBV2uc4OhKYGPtgycE/WjYRUreafCrWn8kkYrKc+nu667kQsNZ3VyrAln
5ASHy9JTR09wkOdw3tM4OdVq8psagdzucByc1WJbmJN7pRJhcaqFRluxLpIrfx2YZOqQ0W/kbLKI
/eZk4vT2Fv2GwgYW4DvbZOj47jn9xRMGDcvQWX9wSXimDEnbnODLNm/M/VGtDaAglRSKUGijt+69
92hfOGSQJuuF3uU4CH8rHZSFy+bY/ih8KU51qiHAfpjVb9JdseSYk2+cv2MwhJr6rGWQ9+tHZVuW
1eUhrG1w6C6udoQjP9gdIJs5seGTLP52mc+8YQtDd5mFZh2Y4nFzb2YODS5YrWDvqYTV3f70oOxJ
H5fzN/cxVOs86P3WbaOKeYh33aQ7QbdoIXji1Gdpx+kB5o33XXV192fKPBVPrvE9c1FDWTLmZeXL
hZmbT/DNBF5GPrKxI943yHsv3WbDyCS/W7/6IPTZgHu9it/La1bCV7ijFS6Gt0/Uhd2YNfZgbuNN
RJRLI9Op3U70c95CAqsDfsZ23g+OF8/l6jQumDls3bC/9Pj8SyG1XvWjseTm80VfOwb7dApfln8m
PnGZEJTI7ObNzDkN6DionRKlRFLzByAJhZJxoq2rJ5oZocASkfOcdglbp0h7VpSmX1X8UMCVFNF7
EiStaqOqJXCB1GvVLxpcSGmdekOhzfuZFHQ7fTosU8hr5e/tGWwj+WJfNA5kH7+T5lrU28WYSESW
HqzxtnfdySOKLB2LF7zrNK6BNoCxUeXXIKO7V/39TYOab6l+e4l3TMgaqzdhTXzK8AEXHtz0peNF
rPp0X7rbtJS99HzteiacY0W1QlB5VyuYsUboQhB39Dmh70X8CiiHpIIDMDFoeGsTA7r+bLOaMQ1h
jq/a7OvIobNDVwsM0eq7VunPu7W377kar6Upp5tKSQdw2ig0sTt91q+2X3sJLPX5bXVtiONHO5/V
s7LWeT4F+JRZ+RlrHhYYAgQ3vyuT2BB3nbNHsb154Px4AZuc3diD3htXhs0CtPuTdmQUVDZXhqR6
Rgy6xXrYlX6KLBcfz+Qorq69K93tpCgZAB7KrOSSP2Eebzde4HybNH/mKvKpzNPoZXdIe9LZXdts
2rHQwzXabZqzi0nipi1PfHzrvIfR6z3Ck2zZ29VCU5GP/b3KPThqHLrdo/EvnLqMJHo/j5rm3Oog
x1TSG9w+iVBkiIy4NRbOI99mtEEasNB73qXqrTQj5QUEn737w59mPQYKZ1oLHXeKR9MCLnzgLeL2
BPYLKGbSpR8snQIzqKEs9IOrFs8erbULGpk1ayTaHTR9SNdKr6Jzm7AWDb4a3cgXoczU3RzBts76
mCSbErQ8GPCZs0qKNcZXzDOyr/Nq/RBwA73km5Jv7Ubctq8oUhrMuGEXFz5PmamnqqBwUfKGIaRo
3QnXP9cr6nZgYVu74hqnlHhr/IJlIZ+cyocUe1ZeOLdxcvtxw4we8PzAT4x6nZYljqYzVqVSecly
Zmeprc1Vyinviu1IpJD/Kx6UbEHFFP7x447SyS928z9zhzERPrJTIimN4UJFX7wdztdfEO/HX1ys
FOXYpwq1Hu8YWdL8yvwk8frHlPRcjSkSfTgvRh8xDryt8PE7uPPZNGGQnaspBRB4KQl9F+xVU9af
jJx4HVueujbwrdLXxvvp4wykhZhEOVdoRIwmU2jNOxTZcNTMOCT1sCf74M4kijaMHycXWjSaq5yq
I9Fzx1hJWcLnzZwCHcuNcRJl53YVlhqJp66HgnPTFEVIYT7z6opZb8mz3ECZN4qTPO5vjlVVzZcK
iPnYM/phbcmt8vR8rVLN+fa03Gc6FIzC/sQ+o9CbDvaNjpFhxgY8OqJKi6MO0WEizM0LShbqQjXE
5VspLFpH92RceCUMeht0Y54s1i0dDSM4V5LnVYlXSKunLRw68u6Zr33X3PoGjqrwNvCkA8rTUnbR
mXkzYn0rJCV0dtEan4OFkku5fpRmjjHeaB8N819/5Ka0d6D6Wi5wZ0BDqcugxOPhnPJo3AZ52DZd
F/kyM2+Q+MBWijhV6U9cLhW/O5+RJ7aoen9Ojim27iv7PhrVjk8NdXzIzxj5XIWaIVo3qu9iI9EO
a5rGjAqlD0/VW1rhoDlRWm6kh+/qW3Ipn1Np26SdD5Pnlqvrbg29n3rfMMj7QyPpErk+5b6jI91x
4G2mDVr57MZzwWa+bOaGrz2WY3rNd4p7eCcyrxrEKRgVhc+Rys00z0q/AcuLuXQcyb4OS4mo7H53
NXJT2+w4N/yJg94l8zhN/bWsP8uUtcLmY32EL3ajwN2j6sVPATJa3Y5wO1Mz9afBl8RbrX5INdwY
y9q9JA+LeTK6QhlKZEl9zgzpCuTxJle4lrjtZbimyA6M6XenOefykNmdfmmoYv5ydxnm2pjQA/cX
aWS1c4RdQyYWxMvbWQTtLlsnhOgTs7+muP4xedvOAip8XS6O7UfGO9qYyvr7aPUhHe/tRGhhRB3n
x6NWvt09QaW3XKEPDE39/C8KDnY+96yV7HafRl45Z0wr4FVRxlkmm3Sa4Ido2W4zHJKMGIUaAFNF
I9QD2SB7Vq+iw/T70Fn+woDDQ5kg+gkg95gdOiBWZtRugZtE7JS9MJt/mK6j/5rFrj9SnHxDqYj7
xJmis3HGSVf0LCELvUH8hPNnL7xYM23tbrbsKfZcKZGZstFqFuYHOsVRa2+9YhJ7sRlBveZVtLj+
QM84QU8xZKty6aClgpc4tOXwdDHlvqupjj6Q4Ds+9FF450m22cKWnwWDiBT/xmjYo9OZagpuEcfQ
y045PzQxRa+hNBIw55Wq3FRt0j2uTzZeUVTaornRugVPqCRSFR8yPyOKsy3l7TFwq/jkLR4HZ7oq
NhEX7ym0TBmr2lo39VDd2mb3MoP/Rr+6M58RVRbDk7P5crK25Xq9QPfhwuY3JH61slPh2eUoySEf
boaNV7TmleEW+QSP2yF7NxVSf1AFDumiqkmvoussietNPvlSeMtDTdyLcWuH0rKDVk8jOprwo93R
SwaOsVZmUUfDUQxBphqC2qlF0DrOedrAkrcSnAYZvSuaDzst3Z3Fh0R7ohPOT2lms39CoD+tkRKF
J47cNEw1K8GU0UpOUqSUKBy6UcuRkFOtLSAK/ObOlCw366PEqTQPPIjlkTyG5QJ6POIxMDEDkNbw
/LzijZckXI7FKzpq0CZd0N0Doi7Hhu4wzrlj0/hV4haaml4f4SxC1undZCLBpcF6/1UCo51802ZI
3ahwlD003sxRCfjx8TEvGONT6KRQ+wqXeZiW3EqTX6hl3qtnwXVxYaNOWBOuqgKZ1zShB69bL07B
uj/1x4ocLW/Kjp5RfI6xb1fhD7ENRjk2C1d0kiwHjs8YLRYrrNW7VGLMku5IPKqRGLaaT1ieDQgI
larh6u2kmLORLxQlKjzvf3Vi5WMqzArJOGmEdGIdKeqj3lOqqR8wKiw/0LM5XZAgfKefi3dcmuOK
Im4l8Lnq1CluVXnBr61adF2c7OgNo5siKt3NjvRYLH5wS+v+bLjHXvvb76+FBlqilSPpK5ATOref
H/B4PbeTfINwqFyf8Vkw4BAWDtPcpD49TX5KPqR9LKAFl2QKuBiv4h8re5YhJwD+XPpZAXsIgeZp
73ho5J+vJCO6RODx+x7VkUF2Xgkq4nM/oYrTJoZ48cblb+9lj9EKbNWfk8SEPhcMNnkXkC4R4DtC
V/CFbHTLwtLbb42uH5X6cr/qP86mu9IBETQ9wVTFkE8zrhdt1O4r87pmVH6CKvQtuRkn2nPTTI1c
UTXwvhciyn0gmjMzwJOznZw/XzPbFD5IbUKQPROcbY4II/JPk6q1Vb2e6d5c43xhJsv+uLEvNUqn
582388rONadHZvl0aAtbWkLsA4a2hSufHejiCjV7qnKFyra2EvxMOgYLSmgHLqq/j1MkKz44GmJt
GLRzbi/si3O3Hr81hfZY2VfGpThT8GQOP03aSwi0QEN22CM+Dtwnawnp3Z4ak9vM/S5MJ3FkUfLB
y0s5ozx6jzK2FFvI3/+srcLl4meO2WXSasmp8GA9sxJS20tUU6fqff5UElTQRMIO6B67C3dPul9x
Sejx7oA1Smczm8l+LcXbmm52XsyUyWdTQXPnyueiN7xfegyzCm+xNj2TcYKGqBSe9hG94Kj5UoXU
5iWbUFb7ad0vd79YRTwSPB9mjXgsp/2w4f0oZMeN3M7XYOPj3CVf91qr2ruw1Eys6uuThQF35bHY
OHHyO7Td+4P6hotOnQ7gMON7zncyT6dDOy5qDfZ3v1JhYbupt0I3sP0umVJlaeBDmVIiYsxmtKNd
7+OxSDRm6f3zpOH0oEMm7YTnmG191zUG5QXS57SjicFPqs2RvY857+a2jwULmOva31jjQ3Rzc7xC
XUlXtRnqrz9YOvcOWT4zrjK+XDXPwTSxdzAxkNL0mD4h1GEvX60ikq9go3GIyFLuWnd6ko6Z7ku8
kU7/9Zn5VIVKWjbJSayqNMSEjTZqCVi9UFQT8Lpe+QqrUA5wLW01wXCngAktXfqtB54QfLTyOSYI
G/KNqlqysoSlPC2p0d6CD/NujwlXI/2JXUTi7WDXjo7hWPpcsRvgo32f7LVBNURwOD3hOyClbJBh
8EMq7mZbZej0GTYqss6f+uUsxtqFRlaC5CIrnL+ej8ydIxkuqNLq4jizYGy4/5myuz7iwgXfT+XC
7Nvvmb1uksQiqKnp+PeFJJWeIdr2vt3US0o0eefPWXfzA31XfXyJ+pnNqefXVC+SGC+kxBWmpap1
MCJpnFnQiIalKFTnxGfeIRxKwWD24rzgN7Gcw35kR3nmhSc1ff0JQuTwGWY0xyz5pbSdVdeQlKyM
Kd2vZAUkXUf713cr+l6RVbNfYtdbDLNlwI85QpOylM87OfWFB5Z1LnMdpXVX5F2KHbUai8xJGwX8
IcV1tyV7b0cJWQp/WrN4vvx8zbk9SLPm/doYVuT6ByIFG4O7J9HFF9/flyTu0tctI9b2jYwTdG5n
bXwlkZKusnB40Jt0BdfQoNSaIwLnSpuf7A5NkqYkUUoH6sJS82VWB1gqpc7eNGrYczoblm7l+YrJ
s8o9yLifNbZfHR8kLPlUK8G8mF/xAjtVOjrU9Ih7tPhjs3lL9WFSVASPXvMH0e7HdV+jbgwzJh88
msqDvz6PDmLjnV4iZu0Nq/Y4pp5+6llgm7pJnvvOHrznSKrGQ8dVaXPrvYTT/QtkOpRm2z0FPqZt
z4PTc1KtuGYm7CtWj5IwZPQ/hzNDTrHW9gb5qiMXKyU6nPQ7YUkP6TayNnF5fZQUPKJrRC6yZcwU
I2rPJg6pX4x9NlOh8WR8+nB2CzjMsWQReTTCp7OiEnj6XcVp4mXEZrspdEyFwlwu5Gy/+1TwQNdJ
pa1XLUR2nX/ReZCGL0ZLxlkrvv1txU0MW+Jq1Mcduo/3zVpu9tvXvxHKJC+ubivST+OG+UwLa611
5Zpkx1wI8lZNrVqCKD5qfcO197Dmx5SUookqlZ+iyJOtThpbhvPzYAvRfZ5hlZ9xeg5NlsabX+UC
/JB80/0Kx/DJq3Vcvs5oTeMbWzXZP0hKf/4ProZzPwplbmRzdHJlYW0KZW5kb2JqCjEwOCAwIG9i
ago8PAovTGVuZ3RoMSAyNDg3Ci9MZW5ndGgyIDIxNjU0Ci9MZW5ndGgzIDAKL0xlbmd0aCAyMzEy
NyAgICAgCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQp4nIy2dVSb79LvjRWXFneCS4Hg
Xoq7u3vQECy4Fy1StDiluBUtDsXd3d1dS3E4q/u3n93u533XOmfln3xGvtfMNXPfCS2lijqLqIWD
GUjKAQJlYWdlEwCIK6qxswHY2DhZ2dg4UGlpNWygYNC/zai0WiBnFxsHiMBfAeLOIFOojQNEwhQK
EgAoOkAAcq5gADsngJ1HgJ1XgI0NwMHGxv8/gQ7OAgAJUzcbC4AiK0DOAQJyQaUVd3D0dLaxsoYK
AP7zFcBgzghg5+fnZf5XOkDUHuRsY24KASiaQq1B9qZQG3NTMEDdwdwGBPX8LwkGIWso1FEACHR3
d2c1tXdhdXC2EmZkBrjbQK0BaiAXkLMbyALwu2GAkqk96J/OWFFpARrWNi7/2NUdLKHups4ggI0L
AGxjDoK4gCwArhALkDMAag0CqMsqAJQdQZB/ghX+CWAG/PtuAOys7P+R+3f2byEbyL+STc3NHewd
TSGeNhArgKUNGARQllJghXpAmQGmEIvfgaZgFwdUWoCpm6kN2NQMDPqnclOAlKgqwBQqAPh3ey7m
zjaOUBdWFxvw7xaBv2VQaWklIRbiDvb2IAjUBfV3fRI2ziBzqIOzJ/CfydpBHNwh3v8GSxuIheXv
JixcHYGaEBsnV5CsxL9DLFwdUf/YrEBQADcbGxsvPycA5AQAeZhbA3/La3g6gv7lZP9tNoVY+Ho7
OjgCLE3BLiBfG0sQ2AWE6u1i6gYCQJ1dQb7efzv+m1DZ2QEWNuZQgBnIygaC+kedHWABsvyHFU2h
zjYeAH02VjY2dgDb789/vhk6g0wtHCBgzz/h/5ovUFRDUkNO6+0/Hf/HJybm4AHwZuFiA7BwcLMB
2H8vGS83G8D3v2VUTG3+XcZfubIQSwcA/z/VWrg6/k/Fbv9eAIZ/PxyMgP/WUnKA2piDAAx/ltyA
jZvN3ICNm/3/edX/lfL/t+G/Vf5vS/6/C5JyBYP/5Wb4l///4za1twF7/jvAwd7RFQpyBig6WICc
If87VBv0z0OrCLKwcbX/315ZqCnYxlwUYgX+zzXauEjZeIAsVGyg5tb/bMs/ds3fTxnYBgJScXCx
+f1aAbCws7H9L5+GtY25HQTk4gLg/scFglj8ryMlIeYOFr8fMQ5uHoCps7OpJyobgB3Awc0N8GYH
2EAsQB7/WmIAkBXiALUAWQIcXaG+AEsHZ9TfE+XhBgBFf5v+IR4AUOwP8QKA4n+IDwCU+EP8AKDk
f4iXDQCU+kPsAKD0H+IAAGX+ECcAKPuHeABAhT/ECwAq/iE+AFDpP8THBgCq/CEOAFDtD3ECgOp/
iAsA1PhD3ACg5h/iAQC1/hAvAKj9H+LnBQBN//THBQCaQv84+QBAsz/EDgCaOZua24GgYJDlX1Gc
/7H/s/b/cfADgOb/IW4+ANDcAewA+Y+Fi+u3xd7+z/m/dwFo8ReyA4CgPwo8ACDov05gZ+MAAC3/
IDsAaPkXcv1Gmz/8O/gPcnP+Rrc/+uy/DeA//t/hDq7Of53GCQBa/YVcAKD1n264AUBrT0drEOSv
CG4A8K/z2XgAQNu/kBcAtPsL+QBA8F/IDwDa/9UaGwD4R5mbFwCE2ED+1M7JDQBCXO3Nfr+jrP6q
4PeVOPypkR8AdPgri/33lTj+cbMBgI6mziDIf82Xi/3f1v+eLhcPAOgIcrZx+DMvLk4A0BHs6vKX
PicA6PSnSC4A0MnVAQqyMAP/txgn/789/21m/z3CvwbAzg0A/lHn5gIAXWw8/nLzAIB/krnZAUCo
tTPorwViAwCh7g5/JfACgK5/IR8A6PYX8gOA7n9tDxsA+NdhHOwAoOdfyAEAev25CT4A0Avk/M9R
//XqMnd1dgZBoP/6cQFBLP6H//VXAQTyAJmjLsw6mAsG21YHt9xWipK4s+yMvpui3dFOYWTxXnD+
4XqPifSZsSLjw5rzL9HPA52vl7ckGa5FFimevI8aa5DCmhJUmx98Ho3j1CZ2mlHnx/F7x/KORL/3
kKGQsmiI7Po8OfloBdrBN8K2ydF+dXLlw1TJwbl175b2+N5TsjQcOrujulvBI4/2WDLJEq0ZZRBY
OE2bbZY5Q0iFCGUhQ2bCPvfAmr7+NYWdNfZCIRf3FtX3OJoz31tvnePT3YzXyjcNDpd2IhoiPUIy
+Gvs4Qk6b7H9JDmCOe+i/OXeeY9GoXyKLAzm5GWW16z7HOkVNmqRkPquKrfhhVb27a+fAcH0JL04
2wlVxfW4xs5UyngVzcaRONAqTjsQ2X6rpdhKyy+tDkvbZNJF/snvL4BpDF3ro4CGDu+HGqeVgcFe
lpvQ5KbbgfrBrQ5f7cL3Pe9JrdzZmSSt9SOWlwTSyZJflUBH4Nq1QbK4r5kX3T7zPb4yDRHy/nAh
dk/MvpnHxqbH96oLdpj0lPurz8Un37Lac6XW9ek3c2B3bMOglyAepReztuTz8zwia05Jk4xQhux0
yY6P2asx9KqC1aDa6aAS4Pl6GT6rRLEnhUL8Jvf8RR9NPpesdNfOXPlAhMEHT9s7/lzWU60yzeZY
7lxVyu3jSJaR/drAfrGgkG7+Xxb7m79KS8WM8A4ctO7Oy9zDxQY+bWjwBmd/bFULyGp3UU6VFo2E
K7jZmulCMaM+0RBzo7Svj8HS1nh3vzXSXvDozlwiK0FLn7+g2CN/IBTms2A4L5HfRVQZIIL/8bo+
gKP6h/ItAwx6xuuVT7QZu0vw1MY/Buq1Lp6JxUjUNW5zqL3WYbrmJke2KIcmtmi8wWUGhVzdDQBB
7qhUeHAcHeXcVkDa1do7hqiIZ8uIhlVNd9GaRdKq9Ole0Npx/zCCGDXSD042XOHRYxlAXjF9xqpC
/lvcl9mEL7abXpki9xQxDe/KXQyqV3GvhUJK3xm068LSrEm8D9c8RBnffeT5nDXpIZ2tCukrJUmL
INq2qaCdTfxCOTeBqsABQ1Cl/yXtzc+tfH9GyijLEJ0PyOb7byKRYbaEZuhx+6tjki7UcFQ4JbMp
g1kEqt7Qv1l/HhfFlMOqYH210F0tLjcKIwctgaHr8uZFjOWpQqUO1BrvGm8/mpmVmSFJuIoEFg9i
Ss1ZuVNJcSfGuF+oh9P4VLwEOqgKje6NJqOhTZj41QllkrOzFfsgp74INR/Yn9XU381nrA5Yn69+
DV4rOwhArq2trEx/P0Bk8v6KN+kIH814+Osr/c+tV3weKkJc7DNkV++gY7cyMItYGII8qY0Nvs7y
ruwHnA9pmuIwr2zS8GtkoGXVE1O+vzwJyWef/czJaQ3WnM4CDJqadrmUudwo9dONb2SbcirPvlc8
4vXumkcSs62RlV4qyt0pZumyfRuOcfPmWSNMnDW47QLAOWc5DaRRcRK9u4FPzNSY1JVnXZYnPBxg
7GAmkB6U9zYNF9cTk/7yA5WczHOJATNCnj60i0OZbUoruZxHVoWGBvxwcP+tgSWBYF2/nfBoGjQy
EHnbR4xMJD88R8dBa5VoVuEVdiM3TJTK7Orgp/iNo5vQa9U1PvVr2DQPU1ozUwFGTydG6cQLf9to
0dr77lz5RHxzRsKhsZsNg3OrLGgZ3fvirU9j3T8fIIgaR+4/EnZbaL5aKBmIN6TnjS4q/5odE8nX
5vCg2OdzolSwmCzfInE48ttm1wJG9Yu9E6n6eX9CyRbfoZvt4HVHc3I3ftMXQNtd1jYxgOe+sbrB
YehQ0rUGKDd+ei9rPYTlup8tZn8qhUggUMuOiTyfZIFc3O/Jc/OhfXEVQCaFURRMqADhVr90pytm
OZqqrPgi7XVbxH9I+K6fPn6bYfipRfbRWum+ZtZ7WxkbgJnCDq/gZj5jj/fKpragna6fSvH40L5b
pF57JrSMMK/MftmMlm0h5RXTvUnaEVJ3dsJaAtDyuisT/INWRZIjW4BcS5RRXUwBuCtUgn/KjVMi
/kU0d+0mEyxY7j3UjsZA3TSv8woihRhPhRwJkwITzOetNu8Q/6ajW4OAYdtY+xzOTPTZX97HQRHN
GGd2Kln7zdozadwPDM9txf0XnoDSr1VGP25MoV8okEWU2Y+ygZkwUhcUiXWcnuTUqVvmWIqKc+PS
PXpPK/rw9t9emrzGoqT8EVGwwSV3pVSdcsLlIIR5LbEYbTFS3z0txliEZfX+JRsi5uyzwNXCMzVs
/Ab8/B/NUtF98CU/VDJZ938oIEwEeNwiFBAa64/qaIW/Iei7+qn6tQJDQ+Xl2i3o6x0qaJA53vF5
kTjI2d864b4hwRX/IjY4yuQt2JsY+QakejMbayxiScDDSSyzpmLqNuFFpDmCZ1yZNYLbq1fKTs5U
st0XjV0Ro/i2z8wxIFTQe6VkGCWwTJUTf19LS3A+u2UkfAoTA7tcmVX5y7oNcwsfX+ksedBxV2iI
VdY7g3frIlRS6/fyUrca2WYPKXGtWoGfwAxgq/KOzEWzybLoFcqG/ZKZpJkhg42nO1MuVXaCymE/
QCn/ppNWfkPhcD4g3sXI7iTHxeJTOgTTK64DGaksdy9PYJZU4YsXkeGnN+clzmgR+TklQW5KEq2R
itK8/DSyCjbPdAmi81YkGxAwjydsmBxKjJRy7aWQPMrOkcpInvInUVHCQbfQBP/VSXAO3V7tre7O
XA39wiiM9uL4ThBdew5boDzgmQgvDWiDYrMw6Ypi9oW4UxyVr6/bS1QmfyaLExbVk/VS/6tH4+YK
lF3UtawkE91RdIxVnytXfZ7DzD3xrTkAWpx3qgQiJrQmlRiuXkHroUqlJPfbLhV8y+tokOfuQYSt
uymNarTCLVk+sryfgIdNmmW83JgkXXuzcX4QwEAuig6ux5k4ZTdZ5nNlvXJ9e7q1QHV/JSx4zuzv
NVAzQYvq0Fyx9tUDvp8txeXDm9l+ImxtdimPsdPp/eQ1gNWzfVx0rYeW53Xt4puJTCpDai8/wuRC
R7fLDoxMstC41F/zPUWszmL8H2nwIA264mXi7Pfd0BILEeqbIj6YcTulsOlI+UrYr1OCue2H0wng
QKl7BkS0+Silq4gCWMH1jXyL52+dDyew8WWvH9eYWiKEeguyP2/14ATjlMC7tBfwC9VKx2CIS5qE
aB3kWK//GOimxVNNGJXKd1D50b058SbIn6Yk9gfVBCdny40K/xz/sV60C38YLL3JVhk5xrHzovad
gFJi/nG/y9R1X2I9hQiiZRB6hhGZ9koIHQeXO3Yx2Attl2aaQ/sMp9p9JaT3WJnf7CV3h0q5IAtn
cES7i0kK23AFWGDiWRKlWoUSPpBooPq5k0SKqWTZRgP/InrfSAnwy8I4V9EkKC9UnVbju1KTPG9M
BfJbtdTZY33n/PTHft3rHpwTXSeQb0vVPCl6fuTNvG6Yyv1P1FEpWE3JnOOr56jzKfmg9hksmSj6
6lphWD1VkVEs2YV1KG3u9ktSRrt+ESNvN13r41frUUgmehXRgS799JJpZ51G1wW9jrP/9FoqEGIM
+Qwvp5CNj4bMkCSCWr33dWg8DbWsVonMW16qdm3p3Mgu3Wy1E3Loh39iolCRa4i8ZJqnmQ3b2OP9
GI7ttnmmsLbctJvDlfCTPYXGH8fZXvTl1OUzbmfv1SVEbw2eKbX5XfHNoMv1uUM6rpmId5znLBoy
pbg4RaQ3gTkyq7a/Xt3xGfkuGwEEbd3MMcTKRSXFgoZlwuBXxeh0Op2CkGMbAnYDFhgH3afRL72G
b/+edaA7qe6t5Wifl2eRWxDFhnG1mFf5YFhW6E+O927TLciIcIdXLddzYV06sKa5lHxEM3n2qElL
YYRW7guUSKjIt7w7Uii6Ip7qhn4XIVlwqWV3YAex2YNvCSgUSZlulGx3+/URUokf0FfW7k+LJddM
9cM/WN6qeHAFyIR8xfM5RNJ+rBFckiafxX2ti0PFKfaTe+Hqcfd2Q8aAaqpUH/GWPWk09cScW+mW
v8RRmINXrlns6arWBQh/GlFnxfCz2ANPlRkTKqxfvsk3kiDt0tMQKEChRsNvyINLF35v71nOaFNL
FOE2cGDb+Uu7KFKhW03MiExNzBTcduTx3fjrnG6mQDW3YmEFwtru6RLuWQQSzqfmMqxaEv+iB6Bt
Xsh6z0I2pe+qSeLpkQSdNmlAf8n2rKpOIw2izFrhHtYwVDavrAXFv3+GdUGX9EJkHoJX6pz02vjn
MWQ5sBMZo1X5cQsqqvSKRQEDkhSZ/P6V8Sq+kXHIkhVufK3fF/zeGMFoE/LK8ZMiebGw1XMeUHdd
xzJFRVwDqnDiPrhN1TEulLg0x3+KsT20LvOuNv8SGC2IpE5Ej27UeC2wDUWQq7IVOcT1KP0eJMnA
Jj0oONqEt6TqBPepuC/RToO+8fzLa8EvQrFOJJD5bddAKFhBnD1BpxvAPUKcjOoUN9ftNJkf+H47
ctyLXVz9bTtprgp7lx85aABOnWMEjbNULklxcTD4M5jhYqqWBpm8CTSgugO0d1TilueF1X4CRfgw
di3Nr5pGyCSVres1TlVwuUZr+rb1dO91/SxCxNUETFAOJel+Pj6EuaOchpVFntbdKZrKIpKn3TfP
l6xoOCZ/SH8ntjAsa0gSoI7IfgOgvppqemONOayvGqpgXaLLsvPBT9352dOUG6CooitdPDMuSM6P
EE1qiFA8QaALgx8ZIsIdEL+yNsFAjHqbESeMltkVVD8gIWMblvN6ywXPGe+Dx3IS6i5rp/Di+GxF
RfaYXXL5IrhbkC6pglpobzGt8hIUy2g5sS3llW5S31f/PmdL1hxGRF2GLkno5VVL/CkCyA0Cw4cT
mCn1gdRgS6uqhLPnyrRMlNLTs2VL4GLqLe4Xc8pcj/NXSR/MxhSfZz9uAC19OdeS0o+GCvq2qKSL
k96U7dFbKrpMIE1T6GhrPvk+/qqtb9Dtro02QguYnqO1HemjlGk9i1SWeUEeGPlEYXxXFym4H1Y9
eukftynX4JaNWR1ouEyNSrOAVIK1RC9u/T6QO1UoWJ3wiaz5ZKiy40IkoYwwEyXN9FtNAAtuqqi/
eUToAdhBG7ZGkeEyBtEZpr6Qeslkbhyi6227ZMLpA4ZzIys3aaKXBX998l+votypecy+nlLpHDz2
TsxBlKxIOXs36mi6b4QWOG99pGwHb5JZf5q+5Xh7j17G5+q5TON8mbRy9dkV1dLX3KnrLXeHpx/l
04rhTOY9yW37MaYmcxlsK/Qr466NgMzl11blkO4lhnJjkHLgAZmUVuuz0zgivvA31/31bhZpgfCN
i26voC8h6TJ6BrQxmidu8+0w5BjjXltGhOtDYtGetAFKGpsNdZzvCMt1jtbft9jjysXf4rNMcQbf
kNlszcmILMcGWo4FPdk1qLEepV8/udEH9NmzYtOPqG91SjQPL4A9HykIeRPwc9B1r2fFv5f12B/U
GtVVSLtyG0unI93WLrAXPGBBgVHTaM/r0cOb56jrXB+r2Msg4cYPEsK+johvdy1LrPitacjui3pg
DUXOFO9M5o0mG6XlfwlylyLmufcdNSNsyzo7nYkWcVqKfljTfWPj+i2gc2W76/LHxNnxJLau8+sD
MonrXwIx0YsW5Ehq+fArgARR6Bv0I5aSWGZcxs0m05K8gSbrzTF+/elC1xdk9T1Cfvl4ouA33Rry
xaY6NNvuVgMJdcpB+ptwHpEkTn1BuZ4IsgxJLy22r7kVCktk281rfX2sydtp4rwkNnE0xzpj3Zt1
o9/+ePqmJzB6ttc9lteTwd52WQv2XwC1k/TBmrjeisAR+yB8O6bAm10O369J6zVa5CE5BX7xnHgw
MT3Pxi7ox4jQrxiNeG0y2Tos+SW3052449WxKTkJerbXrs2lgmkwAbav7WDl3oDIQ27Ejm+PvwfW
7pl23Suk1B1ImMunFDYIE6Y3ZgX4vV6x11Xk50HsSOGGPb4TCkcWhQm6/twH+DN5E2GASU0RbadJ
Us7pStuAS8n7Jreh5l4jg8ePTPF4s0+qgxtFSmaWIW+XWlpXg784UKFELxRqorR4TVxZHVqNmG5/
inWtkfo6kSrUhaNz77nSUPJtHO6eqQWu3+rXC9d7HQ7DzliuIpm0kZz0ucs0o45xJwWQQ3VGiubJ
lR/6TX58/Div8DFjb95Vqgwk9gtcU1GZKC/VgbdEqJoQkAP6pNjT9/POZacg4MGOX1bnZ7xlbnHG
BPzmy9jTw1uchQIdyePCpNf9rIcblO3jXVRMckvqvJjti7rkFcik+6/ObJcwyOgmF0T35dDflu6G
tzU2I2MvYr+7TlLK3qHhcatWJ9bQffOReomwXCH5hWu08HTvfTrMGP2v45uuO38pAgstaYVZ5rd7
+C5436Sf89aNgA3FTjVdCAO/YK2jerC+3d3pkX/zCpYohoqgc96AsNPSs/YV50WEbRmFtK1NthVb
woVf5nIGXvw2QOsnWhJyMz7JTU06WL4TheLOEf0EvRr9ov37aJaET3ApufGJKr6CryKoplrkf01R
j8ZpfK3HlLq5N9gjfroxmk6AJyOGRxNMRWn3OVQDSBh0f8CQcZ3meVHteRpPoc9U5ew3E/SgbvhE
wXlFoT4sUGJr9uZkibYBKheHBBQezFZ+Oc0gc9ZaDewk8jCsbERsEWbcPMvqqDUMAGfewXM7tL7W
38selxJ8zaxEV0SPY1McYVClpNoheykzPfJznKL9vYbAici81BnBntILGpK6TscKW5XQN8Zm63Xt
WcTAH1yWjVIS9dYxS6zz3zXgGI3UX02wkIdA3H2fmNHC9ZQaJPHGxWF/Vtyg6aJFq70C1Xp1Tv86
52yZNECtm4eePD/rbnCbxBBI+Rmne3REB8FrfvGJpNeJr+0LC5YWwdKcfc0ji2ZAkRq8t/xL+FFg
QMv4AW5AeKaAn0mWzRd/qtaAynseD/mMU3PRq/diwHVbKsMSfnghL+RaZa1okFEyNpwP68OjZn7G
vTtj+bkVTsQQntO0wLqFLXV+Y8UyXrg1klMfWn5Gi4sDBkujSDyqPLw0b8wWVZmP6ngY3G7J/Q5A
79LLxSfkg29ut8JMjTpORL5AgGXJjH1LYaco51nM7Lk6Gkf3O6K4Wf3vFvXzCY9yGQbL3/HJy0gv
8c2PFwkDHu+wfBCHoK227BO96aJ7zs8ReOXtE+XPRMNybp3M8hQ+sCiXNSFjn7VWY2MzUFMe01WD
a/SXV4U0O3QESBE+LC69N3/7i3a9CuVEqXlZTJ2bP/Q2qOM7bHTJF6qu2e6M71b7GgctK9tGZsXa
PciISwzVTDSAKHfEb7f7jHgRUQlbIUa4SpTOZV26XvlC+aF0BM7JgqIWsuIkJsDwQF9UFlsALI+X
wRD4Emv4KSJDnouYaSRQnoVobkU7X31HJXKkXLREmj6oG797+Z7g+/jksOQZx/y4jApvB0EF+Ynu
tvYAS7XUALakYtycYVq/2MfNLBpsGMMLDloh1cbdTb9deGujDfKtg+HjSv/cPurFPm+LAkf3iWAy
GJt7m0MKB2R+54QRTW+I15Avj7rh1TsV460T/MCPtRqAFlUNR9V8JTX9wogbZYe8J21lnhJWi96N
MmIRyr255H1RI+Jygj15tPJl8XpBWujy8GxIM/DVrvrbBu0ODP0GnGwAxhG63aiMGLXZFBsqhZ/0
HZqk4KcS8v5UBKXkSakWvPaf2xYOt3fWPRLznrDi9TKcqpDNHdThgG3mYUxrfXxxOgyUup4sGJss
n+fnK9BBDXQt6CM1F0skdXn4BnlF+GbJrFi08WmGXHNCoPg+WVIUDamM7VnO+WntzPDEL6ypxS7E
JJJIjS0R24Y8FhOwapQKn3YbGaJon1tUfQqc3nem4R8/ags4kitPccp798R1QfwIE4ckmXrNzz9p
FrRr6dzfMHyoDxSJimtZgsGUq7/2bBWRz4FwM7dlfqVb9poGyA83ZWHc/LqLLh7ZXhETczx3iRY+
ajTip0b/iPFZYyyzbTipFs/ANWV27g3uhOkGRzeJuqYgXD2sb597cNJE4WuMtDhDpphDLw6uYvOb
X30KXDQXHEtSVYilR+5C8yabReu8jJjfSo27FtDZvuLKjl+dzesFNYMtG1MqVrhbz9YN9k+gp35a
7zAGW+iWSWJyn3E3qzm10l/wZnXhIrfcJHf5zQ94PdYedLoBZ3ue8a/X0GuEfb9014N+RP3oLtuj
m12GnN/Xgn5weTftndyF5BLrTkx9fXOIcHQzXxj5wyaXh2k220q8TevFlo/ddAarU7psQL8yjnBN
9Y0mIEjnfm5Tm57E7zvve95leeVmwFeAe9BIBU/4jquFC7jAXR1/4W2gWGLLoMyYq9nMbEZz3iW+
yXqxXjBZXmTMCFECKJHCXTmqCv4yVAcD/p6u4BvYL5bzMPmGDHdquiHasoBYuir/Y6LdJu638Dbc
IYnO120SuKTOjOTN+Pi+e2l1R5T39voYgyXhjkZwhxtUQSCcNCbJsaKaKkMDXe0WAzuieJdwsS7m
E1lVjOpRvWN22fWVRFV6klQHjS81XMGm2C0mKOMb0cdaH35JoQiBr278rWTqBNHt1blTqWjvZYyH
xcG6QTVUU8VjVJ5q8bWhYsVzmZD8sCemRNwi2y70ubhd4SjGb0emjkMKPnieGMM9pzzC664GVDQV
DNpiLSuXl6KldD4LpoVoipNv+epYc4CTDc521xbfthhP9Ep9mB6M379Y6gtqb2NEX+HkeocZMenB
gDkF1D033L0RVtp2XiKv9fl85Y7Ue8fdn1uKbizSLktfsN8/9KtGrhQjd2NPOH7JwAt5ywXAn+gK
3KCkvFFJrtyJ+S4uMuLd+SAgiSwSrzR94l98S/H6ypEjZiP42d+7+hOd2HIcG+3PJEsYtC/OxHKA
CAVtgu8jFPbGgAKsjlPG165uSV0XnBzVv2Ta2rJ1K/1mBsTVd5ATPMYmogw5dFd5b3YMO5T6tqLa
G8I5maxSuK3SFWThC58HO4jIT9W1SPVGtId599mzDlP35SdE5+1Ec6kMY0KVPMkL7DMGUSbY7p6B
ggn4j++tnrthtcVlmuAjD0kuaGuQd7iE6vYaBV0USAvem6nLU8K2J75CmKQMk2ejsa4644KZuHn3
8VUGUhXDt4B4dKnm7ALEm7YkrXKu4oOQPVFRlp8UCvQqbnRDX5eD29EYpVeRGOgOMcgrol498y9o
PosWJYi5lcoZzg/QfQ6MzOOGJFmikJZ/iyb1lM8CEGXFrulzhsCK8OAeIK0OwgYRtKt9JNjn8G+o
q4KDxvp8SmNINHDNExze7JZnFtU/9Db6JjqMwoK3OThOJ7SoyHUk06MisEtUzG3II6uaFqtAK916
J+VpgEOK5xzCwDyorBTMWGDiZr+WPHN2TR6LgovN6uAf0knhKPIm9aMKfKNJjRJNyRpqlukixguT
WvhGc7GcQIdYI7KeeHjmBNKvDwvLmmGx4bPqL1jOfnsFzIN883WvTVBb6c22q2+YL0OOUjBCredp
/RcPUcSDCZYUr1JxDqla1s2pAOR6HHHsP+EoObWYUQ2dhC7PKDHQrgdCdDFgjsvU8h1IniT361rF
GiZYhkywVcqZ7lWU8EWQcoOlvRp5ySNrWOqLzS2JWOj7cedY8MoCaWwv7tNyaf0seqZUXq1QXsTj
tcTYJ1QyyvPawqp+1OLD4Vf8dig9LS0zcAcLtCxOcCcLx5MA1E2E+Dw0oIQJuITmGPw0D51N1nfc
goEbrcRVZi5I01oueU1WYrf36kVbRWbYLbLhQvh2TR9V3Sn5J9GuM8unrdejyIwE/KB7Rp8ON3my
gXUecM6p+OF6yrJ7D0tnjMl1zfnsyiqLOaaJJovGxLmMq4Po22RfTwsgCJZYKUCGclJdUrR4YTE7
wH11Bvlda9KQViDrgyhH2T3/oJT7rXfE+90wVkbyJ0qwvWHRYK9U8EhvRGF2zwn6QCjxijkQ4kaC
Z+NSBEiAfnWSqFZpSVHL7FNIAsRYkG+9paHVJPeHn0G49L6LiV3qM66NzkJzyiOfjO6Az7BDg+Wm
A1lS/IC48qGT+06qIBoLDxoMfVSFfCX+oTjTlYUaYEoULLdqzoGHx/rkQvqFK9yBt3PiA86aWuGT
Bs2YRt3Q0/B8+TckOUIl8xJqkQxNK90wFV5/f/D2LMnwMOUqLuuGkg/2D91sy/DvDzHIRvc5wSYc
rXtV7TC9obS/nrTDjql0STGLH6u9webIdIgNCOdttqfeVvIEir1j5PrFLKe5awGE0EfPSF2OUpNC
u1Jk6UYtzlaqnUyxAGpwNKwMRDMc47ziDfUNnBxfnyr1JL8Dtnu0nLulHvpsMzdIQhUFw5IUu08q
V6wKzHmYKZc3dR7QSEbLgJLhlWQCtQlYVz+f1yARp/sB4jRXrK6n+yb6GXPzJ8rKjs6b41hHRik6
w4/yZrtsftvdFd107srEaEWek11MZwPTGqKtzU7irrlX2aodP76iYFVkw+DMPe+1yHcx+ogIGtEj
uvC8n59UNntePhAgQD3E//iRtpjVkJjwOHfTl6yEidBFJIGtrzpji102RXIjwveD8tsMsS7KQviY
a7Zog4REMsJunf08GoakuKXcoXzPUyYPCFXMSjan7mdHP9mBF32Gqe/QFrhe3Nqqkvtk6FLgU2+U
wAI7AxFGk/ApW/JMFXVXSk2NgGjjkwixVKoZcNPHQt8apQe1IWEI3U/XzXz5SXPKhssK03syrFjh
boB/DEkOJ9aJHDNzlU4BpoO0uWjeBst5kItUWcPFCbNsGSgr6sUa24BRSWbIKVt3a10nJOFcx6Ot
ZY/na2f+MZtfdm1V/iUt52Ec+OMyLqYXWXzClQzg1BlbhfBFLfutwBcPx3e0FcrexQLESuUwFB+y
wVtIFy49h4Ck9k5ZRAnOj/hZ8eYJS1UPuzQwpwOBxyUm5T1xEewJC+AAZXg0hFUMXIPFw/W06HfP
0AeWkC2XZp7ZXMcHT4NvdvwEv/JvRbfxxbEiJRAt33t6mTcsf2YmJIZTEwebo0ZSV8nQJ4nQfB/X
NSy4CbPyWRYCkvou9pbZ+khG+S1KrSFEwzo1odXYBrCySD81A/FDskkIXveOhTLP9nHjhGRkb7JM
GgOTUnP3GXmGaFf1anc7CwViTT77W+exziwSOguj51dVpT83qZWI3PYouWvDD/V6J4+kc76moyZc
PACdK4vVR1Prs7pmCK+FxUrhorpQMlnvwrbDuFy1y3yuluYfoPs+TfS+hJVEbQ6nDWOWkH4UB49f
y9673xyG4VOKnaiLQK04hPCVLXah+8AV6poLCxY3VflNc/Ae7S0wF5ujLRMd5YDyq50RUncc9EuU
N0cB1j6TvKlsbqCswkDxRbHutiNtmdUC42jkXlzqhWIKPWEDgxZTeoyXlnrfp2RVv5sH1wZrYndy
KGUYRahMBxJeXJ+nAW5ZCEXD8Rbi3u5MuxH3kUdjY5d8tq+1+JWgk/iCaL+jGvElqj8rjvY7zvDe
7LtmIaJWgDtP4fWGYWqJR0WzYX9idIx7VmWGrJps0fP+SlyM+wfBgHFUgGy8iHHgo8BTuXLXm8CZ
uE7q6bkZVxIaQZOr6ECHJtKACY31z4YXOAT+3Gkq5xjKcCJlb3cPZfX88+WohexwXX2uIE3EnppK
UVc7Qc2dNI0+0gb7vceVeslU7FQXxuTk218nra9LSq+2o8jWEIwCxtYZxHnr322f0lkWKvi2j49n
Bym+d3Le1NSRHPjGMWyFfvGBqr8bkO7P/VRfkYPm9Y4QHM5JBr1kVszDFZD6qSpFQx98/SyCKmSC
CPCZ1bi29cBQHaNhG7VTntuSeXUnX5m1yILI31ekXcs3bu1Hu4WR3zPbzJI8i3LVWLQ8/q1uuHjY
Uz0XmbFcHzzX4dNRyBNis3Tz2UVOPFHOmaV1CbUGQGBppYKp4zFRBmCfbpS2BwJuDnOtWqzeaUif
CKnG0v9wBSa37dOm7IoCYDAantmGXLftKosuY0OpDp9+iXYQPudfnzjbi+m3f/qcQSBaB4Cb9Unm
OyjnK23miXyeHchZOkdyszhOfmL0SrcmMB+YSk0owKdf4PTI5oosENH55ebFzboQn3oHS2xSyDYv
12gaoVDojSYm6JyxcTntJztAbYlzFMFxdkq2XZoml4LoENReT3GYk7f0ZrokVnF580skZWhablb+
dbRweIJF+xhG7jB1wiRj3dVO4AJbeNQryuiRQJrbA2Gac73q++C8b7JDLfS6FgfzQy0ZWMsBzhGB
cHjg+ssy4GvcESgNU9NrzsB5+EykH7+ybGutTpL9IvUWGK6S375Hd48yZ+Z3ulYLDcGROJPW/waw
8zfNWDSdkonPLTRZRdSQHoHGs6nU1M65IkuDytoHEdyI3EjEsCntZtZfowbaSIkFjS4/9OkgSKdV
gYzUS8WOtjmeFvCjf+p/yhy6ds8kFxCE2db6dbw9adTa2yVHd1ljuj6fYdZ1JO/JuJww5MSISBLz
ZD0q4cLLFBPBQQq3qSp+Lf8rwy69FCPLSyaY8RJdLMvqU5+XqiLx8+cKTBKOTKNWV0QOgKvh9rf3
A3jjU4bCKF/W9OoyMOtvaXlIiGme7yQwZkauUnQKAfj0XlrkhQPJXYhcHBqzHyi3CX9emF6Zx3+S
GLaT7qATA8PYGYLffoEIj3l+d6kuCVGuEG5Lg5OsvFRgydlZpvmVSO8WB7sbidxBhgtDmGuymHA0
wIb5/nmMtMHY7dcCQkRYf2GJRRHBq/FG26xIq15b/FDDYLjSeGuNY7N58I5zsJAR1BpN1I+2CIt7
1ytfOHz8Rel8KbX4IEqcO9bII79+2kn267sKBNSzV9/8tQZmdaebEiJH6Wvl46tV3Fvz41U2W1er
g6ilkDsqDcxt2gKvE/CKmoxHeK0cFT4TTBGTmqAITzxv6HVJwhbNeFL7aMwhtmYmER5F86o5fcvZ
fuBMj0RwD7xt99oNPNcWgwSOPH41R1F/Zo/XjFJeNwUIUr2zR7ajWJW7JDDWHYDtqnsnWqSKK1LG
k1IdInKuc4JKEVZ5o0JBVHcXzxMp/q2xE3AzjCQr7OSRrgDy6XqA5FJzqVEY2m2LY895baaFBYnN
sqWU8m66J2jZCao3Gc/CnEqm3Wkfvh7VKSNitr7KDg9oJkYmpQwLXzLF/kB+IqUWLv2IT/x5y4rN
3h8yWkkYgYNyFXf/4u6K2T99jeEWZttvN0077QrxZ/wug8qPvVVt/PaFZV2kF12eXGFJYnnsPRwm
X11g5IjqLmMzQxpzN5rbohsGronEU+0zzUvQCKrLu/iEjZ98gxiNpwmJBBuEBo4Sqrlnk/5fH/C9
QHyiuWtPUcIrJF0rr+iy3ZsMJ9uineIUsFdtPrNINw9HjFnev20xqBHhv063PwZwG3YyjJhKVOEN
RHhiHsC1TiG9MsOefebQxiwJ/I47LTWeR6jDXoFN8Kl3dWgARruEWzgOu61PgZOZA/MxPZz5lgrV
p+qNv3pR3xbjDLeItn+oQ2saM/XmHcvr2pnuWgr7rNqaYI0WUZXzMHKxtFTR0fi7cbK+Z/LSEk6P
dW8gqdzRVPJtIKHhfpm5196c0g+4roAXD6WO6EkLJTGe8WIKWP7NHL/Rm3aEnE8HMU/F5AtoTg/8
3xMjYwkDWYgGxmbhwWmZq41xoBiRehotm61ZqoFzaR8Mcn5pBhSnK7+mkx/mZztJ2ah5vXmN2tnv
HVI6SJyIj5ltQ9feXSvWbOaPkJp+8JJUNo46yxsNkI+uDvVqQTFK3YCx9kncX9WN+lbVQRaKuHPq
OHSY5488IeKv1FXhnsAo0J/Yl2Al7bMQXPyTh8NdWbdPRkL81ZJ7s5Q0D7JsuFJ4jiPIAu8sDLtg
azuUnHGGwRqBOeQZsmLIeVnAB7fQ83gcJjOJ8YbqNkV5gl+5Il2HbE51yLZO/fauY9a8aKM6/tF4
LAcqEL9Z0VDP3YlrqtxBS/RBDX95tI8tt8Xj0fQFZeZERH656fHhBWGfW7yIFGvh1BxW+RH+XAh9
zoNEwnSwMRvdyU2rv011XVZiujaKOxhfnuQ9cNx7JTUEG9reAzP4Bon6sbPp1yRi21MjAzeXJK0R
01sJ3tl3s00x8HJUTdvbv4YhKym8kCbtVfyM+VDVxTsNkTlqSOI7IZcYDVpJoodepVUw56Ctgn7x
KGpsyeuE/U23lJ/Fop27a1NBqQqskaUurFNQGZfDQy3B1T1GjsTmaLxLAhX/bDyhn5UveeF9Kk05
78DUyriO+ISiaLtbOLaFQ73UnLR97E65N2EFFteHD53Z5Ziz2HnOFEPoJSlpaLCpMGP0BQKUIKb0
MYazKnQbyHRLsPCTClITApZ/UpYSc0LxsTpMzmdx4qWg0jxY16LF0vjUOBq8xHU5uT2Nu1aUPhJZ
3RtSdpE2nKfRJYO5qqH7GwhGHWz1FyhjiqTU0q5xKI92sh+U5uhq/Be6pgVeKJR5J1R93Xr+GY00
0t5ktVD0bVhbNfUEFLbeTCLQ0RkZx4vOyofbYjo1gaHAhnCTuqBy0zF4zWnQukdElGsSoPJuqjP4
ZWurgY0n9t4+qXEzyukKhr0mqxKjUF785QnAQYgzGWp7BaqSzTdo6Oh1hf7yRCHwYyNLof3yUZeJ
i53Hnn7l9T6x86eLzXkKtLlLaPIsmqEfWI/Lj078Z9TBmv7HQuxIDyHRs4hxawCOePr4LJbASAhA
Wh2mRUgIys+/k3x7RZdG1HYvyIBh6q9+TmvaYlw5dnCVcjot2InPi8nTAii3MHrTkzVfvW1UX57v
gTONxV2WZZsURt2e6v818Y5Kh6++tDQIPeEt8v2ohJHSLcjz9WrfwHpP7wkNzU0QD5mvcDheyBeo
GMH3XSuanL0iyeBo0hOWa6ZOzyM1Ea8avTmFq53FIpa8J751mC2m4EEOsnE9WFIi0Hl+J9knTcSo
vCuvV/WEjenpnBfOspL7dXEF/bmx2cL8ch9O+pSZK/DuPn8CW9pSi6HbIA4TT9eqZ4LwgWGfmC+q
SNXlzBvQy79d+J1Ju3pXZUEETL97HYA+bsPQ4fcwMeTnyjyKBEyfwskeZtjK52n78PVPs7294InK
hUN44CxImhZyHiWujRO+1FCSNpbJ2pXb4eysfcxj2Jak7+GbxmEQ7PaXSzG8YWtwKKD4cZ6nHej0
iuOyjiBTRhsM4eLqoihXy98QipVl49yP+EHe+nK+VdwfQYeWniCj1z8k6iVYwWJxt1LtORwkZ4cf
SDzyemuT9o5RI2Cj1Int+2pjaOPdWzGTN+DjVxJk348Se+5PJoMjbj7v5XyaP7pvr8J6R1Uop0kc
cYHU0hVic9OGGMOnTsc6s1E4Mo2rI3HizeRMzvVKTCJ7ktW9S/7IXeJbyXuLQyczA0t6U4U2mtCP
B6Dv17EztBHoX/SkyQN0kjRRUblEHn3MyoFPQjN2hC0TssyTZDWKN4/sBZSTVdFSH/MXb1jSFEqf
djS87I/VukSdvElI3gKSFLduKoWvwlecmKTqi/hbRZhY3um9D1h49wFlQCnctZLGLkhQc395WQYu
vvWNqHxm7+LKXV/0WINEiv/6BzS5oOMoZldXmHeWbQF1VrFbvZww9jx5XDNCAhlLFtykFV0PRh+K
gSwrch9XtrDGSYMvomEO6xL2x55Y9syhRDQSy8nCcq/uXj4vNVd8KLflVL7OOMyutrWkkRm7lJdB
o5LhusdfyRt/sxXU4KYE2+bTQiBvQxmyFe7jML4e9FVqpse/FdtItfZ9FIyzFZy8eHVE7zJNIo0z
uW1N2TvaKMVjv/D028aUL42K4d+luAhsv1jqqdcIEs/H4VhxYAnRqYSj0kE1s+yw2w/ISojDGCXj
1zL3RCALR2de0iu62smGKbJ520j7LNGub/Yy+hnMzGZjS7bESoUu05mwuCTjnjAJm8FyuOMZmf1Y
jse9xegLEGcpJmv30NC9QfTMnYTkh9RoW/X36c0BVi/IlmGfVa8QZjnnwzZe8730L7dCE2hIs+0Z
q+gf3qnRPaYNWNl+XpziXKNTMmEpqSpxfZOgznwP9b/3htGZCZg2xbAMI81UggctKrkngQ8lidZH
dMDAG5eHFmikAXPMd93wT3Y89cX8BxErGSz0OYuNRh+y2QWcRjZsrLYIqThL70tlHr58Cjs8o5rY
ZR/e7qyKcZE+bqMWFL7HoMqbZsjlQ/7gNOu3bHrelFiC5ak75jJhrih2/lUZdfYWRyk92o8Lwgum
YcSrS9Is9X+ASxSqIgOKEel5Bc7nLTroe1cZ5ZbQmVCV8SV+QlP0Thwc4p9yc7L1fs2eKRfHRqa+
sqeD90bQn/J9RuWAsvSHfMsOjiuVfUp7rP1WmBNMQsrhX/xuhJlK5MbHYh9srnxS0TUgxHTbxisE
VmIzHYWUNx1OmzfL3hOejQtMxlmnmMwqL6MiFRPmUm9hXUfcliTKoymTNQDEz1Vz7w5OZt7CRCWV
YFWmBWeiGHKHczEvQGvIwjXU95uoHVAdlW5c+eYxlxJ5jJ967n8VDKAEFQ+8qC0dcOZ9SeUZauGF
SxpAaZ0dsgZVhxs1vUnDzNcxvRAN3TnAEEpCb8tu9QxwLBltjwy2r0q2hYzl4GTMhUQHRVkI5jNV
dwwWC4+HeCgyQ2pKW665XEdcMx2q7SIRPiIXFcGeQXLivTzMxNKqUkBbO19n3h707PvD7/PuuaVH
DcSJYMnP2zaVF6McWi57YmpojVcsstHqTosbT5SszKppyI8nWYxGd1e0IrMoETwEfoLWd862uLV1
w+mMd/0QJ2Byno9e4Zr/pkCJxClCYjoBHBlKUrfAz2GzVkOEYTcPnFtvOtr1fSzlLAAlE5si2esi
BILzkRhs54pl60lsfpW37iVWVis7sSwg4evWdvbWVoGP0Fp42ECMZZfqtzqYk/7F7YPr6qXOHkyM
IkvhcG65B6YWuqigXunXEA+TwccOUJKHLLINLI8gEWTK4MCQQDOrU2EOngvZCsb+xvUBXjGGZ4qQ
V5rlnQe7cPJONpJeklujYges6GQdIm0JQht7IUsh0i4j8QRqLuZWOfkFW6iSgV0oDULr98c3Xbdv
KnAsKKPvkxLNFrnchvdlOH7IC15S0TjsyrDmMQj01RXEFViLm20bmISuRQm+kOovMw/Hx3OfHVFj
EyN/mnr3kyJvrWWzk468hhLlvXZlO1D7nhULX6xlpF5Bz+17OALFrb27ZGSW6PMD2p2/zePPYHFg
wMZjQhzfD7q25aYFfnfK9+OEgsliOUoA9hiNNEU8ziGqZdQ6Rwz6brum4K0wZ3pxlsCXUBdxi0sP
FOM3W6AyJxgw/VpnZMBQYhCctDLunE7A8lYsqST/Zzm5ypRV93t/NNcNYIOMBeM+RWQJD4RxKsbx
7HM9VjNTOblRwLr7nbKK8LyEDSLRpAHpPK2LpeNxuKNt/Xa8XftPxFyxhl60D5l72ZVBhQb6Yzqe
2fS39SyxLUAJPUxrRfmYYST/bJmrtvotpF19hYdeSyF6Xa42zr73RK+HMJXOgtfL9w99Rb+hImdz
G5FHWm9/ohyKVnFTTDX9Dn9nJJ/+nDtwcrkD/tJ3lQHPsjcEDnCYLr8UcR5+K6hfUK1BfEEVizB0
HF5BiTA9WMyvTpUZoAy2orLxudBT0/ORlwn62grngQZpN+//ZW3GFe4Vik9bBLXNUArwzZPHoo3s
mpUKtlBAi5jdiFCAOW2T0mIT6PQkiJynejV2VljRPz4hMUUFuZ/XYcQ157fb7EkmtAlCKrSEPXrt
rpDxGW6xavvNm6eWrK9wJg6zTUJ5CedlXlbRP3mj1NPLzWgAfMPXtJ5nThSNwh9h0x4PL8p8kFcn
tWrpoPqD9Yvo8+CxE44Zdn0LOmQPqEwf5WgVngJaInyqguLFTGwUZRu+LR4Ipce4Q9w7mRFRyFDv
B2oGOgfSZz22aDNlb/2vP5gT6jeRvcjzxI5j8mv3So4WK7Vf3ds1fnbt+hIgySYb+JN84B60ws0r
y1a9tqQE9m/wja76mScc8eT1yG8r9sozZTydiyqWquFjZ6K6ni8fugKGmPTBfA4hX2EmBb2JR4Ch
bCL94ha+3I57ZlQ/vYj9QIHWkd+4Tujaxfu+YB6WREbEK5k4fFd6hMAf7fTKS1/IR4pTohiG+FaT
ekwa50el6jaGPSotJPhy8xxMq3afUtO4cKpRUR8x+hoo3yGuuRPpHfHASa6TwxOR107D99VGfxtb
rDjC2WQ8Or/kHxA77tEICnzLRfj2o/dT0tDnvHeUDgDW2xzCVw+xwioKlYLJp7S9uAe0aSnJ998R
WuMvYnbjkjyo/IcfC/pvrokq1TeU15Ciq1pOuqU/ynWrkF7yr6ffzeR/ElaZzlgas9KbHyp9aISv
5NVgyfEIWtosiyzUP9QhPbHwzQrjdcOh12luDEYj6p1gmcr6FnvYQly2fZ0/+b0PuS3RKKwI8IMZ
4rUo9xOP0XDH08/3ZNy8b87dRkd02Z5/mGjYITxP9nrQRRN0e3y9XERZ6LzKi1dvKWTy0cfgOLgS
q/zkdvb4FQO93so6jv5HJQFMeP7FqjscH16FQG+9T+SD5o9pRq5cO7evW8Y/7Qqa7ob4h338UF/T
8oHMkJve0nkYf6495fLKFZ4kwn4s+2WdU3bwpNTyx8nLIVtkS/ebkfJjPTEUVIg4NevyNoGyUV+F
H36Rw9UZNACrcCIDcilb5b2RQWEwmXyC8Jq40XXH6+gEvIzwc+m8fqhXc0d+c4UMjhfTaLeZP9WB
z35pB1akgWP9aRyVhTQaahshKzLkgI1I8aSYXs8SEOjHFolV7SA1HG2bkgW9653BUauon9F834kS
51ZnaksB0ROOoT6L4paTuSIjfu7CvClJOf2aLDhzU7k/CGo6Yg3FpNfnOlCr7kC1YCNEWaRKe8g5
DD/wv70uj9oGeQXZ06jYs6n/unqQq0M446/9/CsXy2g8fInXE+NpFEUZPyjlkPtmY3ni59q+OZzg
DfAluwGRbvoOHdzZhp4U8cm3LhwWr/rxbNpHAfUz+XCBE1MGcrwkEa76djdc9HsgXpIj//o+ZurP
t8mp5kitRbc4SrZ8tjMQlAOnYdSJRDwuXOLzj7GWb7mC5kYGlIyTpbRGNlJZZXthWj88U8X7KZie
IcWJfX4WDdvucpDV4dLjGnGteOWsmggzUJxmiEvPVdB5enlAE3uLWvhrUruLb/G2BiQg7WJba6r1
LPATVL/CyxPceKRNBonst9a78WwN1krdJXgszd+peyVd9+wtQpqI2eph1TwE8VZz3MGPcOKS7eLj
Pll3HB5vkQigtuPunfInR5fKQO24MHr11apP0t1yrx2GhcTuzVzsyk9G67HROSSF4NYVd0xA7eGk
Mh+41Tf4O9eQMIX9G5kAZjE29rnGev/9uDMvOXr9lbJAUmGTgwLpy8Mf153zua3VgSOPzzaxZ9XZ
SIDrwa9fuFgJTK0jpkV/fEOK9y7XZg+cxsD7BM0wRgEKh3tsf1b7XNzg6zYJlU8r+PwZFFHDeHrN
3dUbgZoAy+qn/SXY4lLEgiWJCye+HB4/Lz2RrHVvBDNe7AaqfUfWeFqaYlI2j7Qzwv8zLb8MTrM1
694Zd3QskBrhxNnooBtmOUBx2Xflybg/3UTT7Ip3X80KQLP7Cy8aoymx58Vg7Hb1K/04bn3pD8Sk
LU0UkkshksOx0moHaduyjS/9LTEp1gRf4Nxy5KcvtoXQL2suZZy/dkQYoiTiV05RXLHnR247Kqkm
e4WWJp/ua7+MFljvTJCuZn5wxHG84l+Vf++NG/v8ff7hfiJaIqs56dQk+Ij63XQGmx7YXUErOuib
PQFLbcKuagiT0iRGyZ0R4a+o7pSazwXwOnen2U2HZdhmwcDv+Odky1bSebThP8otOfXKSZA/ZdE5
y3VlsUwRrHIdKmrLFznqeTsmIl4Ezy1QsYbSNvDKFsh1l/2ks53ttB/NEj7DjWrY4Yz21LBuV5m3
FXyClZc3ub+DUy3NTqgIxJxqi/WdZL+uYoUoFkgu+d2dqIdjFehUifh2P5J4vo5eOxcbxUHaVvW9
dQ7q3nrwsxpN4ZCTvfORbKrCUwXRs+++5/np7+jcdUa9aZeBkYcg5MtOHsQDS04D6MwzWmarUxZ8
Cir7GJn8uHQiPs54U41rHi6h8QG1dF88Lr7bQKo3GV6gdCF4cWBOYDLU443zraccMmSrltxDjkxy
yaEhxWGUdwEr2hUg3JNjfJfM/CkoIrmpTqSuvyQCviRERwG3NEpueVe05CdRUNW9Lu9ab/HFOAS1
RoHoQjKetjbGw9lCJSFMPtTS4GH/uRlUOfR6iSJq8O0nmR63dXUktjxCtbylxEa1zKM+iiFrtPUC
mr7XfnliQycUfNKrWLytnZ6MaqkObttrs3tRgtVGyq8/PvVLX8+ZYVMXgq2NtRqF1Y0g4q9l9E0G
n5qnd07/TwAwGc/mr08L0DtUiDvquUGydIt6xPmwIuZE+jl2VtwgEkoYUi4YcSK+03zMZ3HUlhyr
BXO/kaKVfz6xjX/ak1RRv1bK+oYFlh/RmHtxuI0nSzvIwzE4gn0J5tkUnBF7LP5zE2DjWtYA1nHV
R7gmhQSEnbI4IhksWeTGG4BpA/91QOOduJTibLPHsMtS2KejgkoBdn+18o5spasyXbdUz1laTcWA
DBi/xMrL7uOu03VeM6CQBWtm93DqKsZ3i+t+OC4r0eI+nbVb9vleM6fyLmX1428r8qLjXCdj/05d
5e0a1zOtde+YONtmyfh2DAd8eBth1UCowr31Yu7L3O6hNWLTQQGENxvvQwNily7wbuubzZ4zbr81
P9H1aWVApOvQw9qXdmQ+lnP4sXmPZnZm4853N4jVK95ELgDxKXUsYIGcsRZlDs+r6erZRO/PtnOh
xjSNuvqlrir9ZGm6mOoslFeIINS9/krUWD76XEyjop+T8ioXlCQBoX2CCvX1LHWp6zdft2HYRqyS
hiaNSAmtazTS8uwnt8A3ZFfDCCPwdzXdKJPd1sm1I+uRDbaTHC97IhCIzQ8DKlRDt/Neg+IBEJP5
4qT79bwvqtTZl1i2QcTCA3TC44A+1yl0hCpBVQ44U3ngMyECZNdFcMOc5t7eckzT/2pHUhvdvmGM
x91mfftLzu/Dy6KC1OMPXhbwLuxdBGvjFnnKZe6+LRwthcIL1gKv0fdgCO/M7Puza1UA9cUNSh1A
NurMm1PwJ0Y/kvqNUbZ3Wpj8FkCSPrSs46ViLADr+mxL3U9WDfCgcPH+EwmBTsKjxu/8cNIIaqmr
HaH5feQeLr+xdwKuL047uj48ATm0ICTbbXYgT1TIoxnH72YCEAqh8pqAlGekfZuYc71y65Edwihr
YWOEqQkMcX4l750Vd7rq93baSLVvfhrQft+oTRlwFXUdD22MOh2M256SZ/zUlGF9tlwoO00ZBAz/
P3kVvP4y1sj8BDkJCDQmjzDCjSbHLNOBKsFpNLUVq4UySM6xuubLX22e/GB7Rwwfldjdplob8+pY
s0mVVQadMG8x5tCU5ktKZgxR1E2FikDs9G7Jfkuq5Gu62fyUHpvNz7rDBHcDtTY31IShTo4+Rxzy
LJFveAfPK+Kz3pcjzNQ9Clwy/7UlhE20M/DyiTYaGVEI0FUDDhDhXm+uIhmzTrbTMLLGCla+w9B/
x8nwhzFgbjUDvRxEZOnE96Ph7FEYzexz1QGI2Nc2+uEsVkCcHrsfgOeEWkbrf8JtJJxad2QbdSI+
1vsxTBfkvO88J7m2yjDjR1MS6GMKNI5wqplIPCjSxPjVLP7Pae9EjjiYahHi5GsSqASqqQmczYOI
Xqu1LV+Y1QB2Vm/ExLIfh+0aoaYvidAhgmtyBBR2k4tDv8GTU9IC1tfXGWjx1S5Bq8/+2WxbPykh
N2ENg1/coRg67jYBqjlfTVZO7Cyg3/kbHXY2eUCtAUIzdBq5rIlr6dj4O/S4wDamYIZbKNjfP9nK
3Z92Niw6Ekky0rOhPCBvXJ8S+cyfunHp5CzaCcu5BbaoJuI4kzrt68Z9SUHCCAP0pFaa2EgBu/IQ
f8oVMiP/OOyiWBB1msjs8RxuQSPklztFuMMCWuwYu+Ury64NDl6bLbcGPaCU9R6XeGQTm4tg1QM/
rzjl3XtzkDrKdxB9sTseuvVwmOfLUu/FSuJ9OtxtLDZlPtZHE4yYo45K7R5jwt7bIzFUvEMrO5TO
m59D7v0fWjeq7u7Njp2O3cm2mS/1S8zAf+X/UfpAlV1ozsSgjXzTfwCPIc3JOXQzHZCEVH7Zat8F
jDFzpVSe3rNrZeYGX+CnrFxUXnHWKKwT1xOSp52I+2w9LZhM0XIqxVbdoZhsCOBze2fIIATITY21
jpCnpRwJ2hxjl/uiM/mPmZmVUASoIj3DXfY0kYImkENqVDis2NePfyM+k1dwLbC0++ij2/W5u2gk
ztsq4T6/IBBc4XCoGNTCEwP3Ib8x4Hk4O4VTrARgIs+ZhiX7hbrTYLuv+quS1EK44/6ewOY633Zy
J8Ep4iuvBXZz7TsH+zFzasepWqPOgYl3LJzlcNBvTS3wd4ZD1HA4Ep+Q1MH47btbg29gsVnNECJg
d0RFjuWzobLnra6YXvPVqk8SHWw72x4SPDWSeTpD6NbT3jxcY3urF6hqlyhWmo7NPHDAVtWBdm2F
uaItXDQ/gd8RTEOv6JRdCUzJo9ySQurbzv2YSue8z8ZldAiUpBBIS4rJaMY63PwB3E4jRHt1aG4e
3UBHZOXFWmgI6Bvi8jrSUQdW1u8RTAP2xKCjt5eoKw8F/MfqC3emVCCndPA6BD7EBcZfGI6Eb29r
m0RIxShHIhsCqvdxbBwBJU8UeiyX6v6IUrVCjI8Pv/nN/zALFNo09gS4xQ7jgLgC516Mv3F6JDAw
sr9cM/6MaHDC7VTE6OHrGr+EYSGs97JVQijqUdbEyaHf85LeroFcyrNbC7y9qCLiWl7bBY1ZJIXa
wS6hLklpDnOk0/JnB56tXjdZ4dbjsZRzO5ARTnwkf1nIMJecIaA4p9KYEdJf2kOGXAehpifmLWIS
04wyY0UfWpfyzGy7qZ2AUZ+h2mI/Z3tlNAhCpQ/a8VWhJBFzFtUPMJYruErW8D3ATAcFd0NaXqY8
vF6NiHwfr3TLx+Nln0KobTKtECNjFSunlEYaSq6ABGDjm7l2wUpQpZAlD2kp0+AI/vDCpE++ZJxH
eIB6vkSy2QKfzjFDLrbSyp0f9QLjPK+nreyFVOG2HIG+iESdpOWDpWj24ia0fDzSKWDmqxBZ3Wjm
0VSX+kJ4xFHOnwQsXfrsqZv6eUVIOWj3zcu7aqg28m8OfgpxXhVnvTRUPGMlV187bGDtHle/Debf
ge9ce+wFvQ4EQVRgbCR5dOL5Hb7HMRrmikDdl0fh1OAE/DQUUC/YGtn6Bqxrzpbh7hlPx15Ka+7k
MFYizIwQGZa5U9VJWmHavMT5dK2TPJYtFoJpmdtnODHcEsM1672HIV8m++E7IrIkdKDzE8Rppmlh
0AsZWZLZQ7Q38KXIgaS+L2KWUUezsUw0eiRcyI4cakq6Q1N9rp3AOhdXDoWnkHAolKqOayGkrIEL
XJtFVg1ZCAaIcZGUl9jd5C8N/emPHl81OgcZIf21CgAEEdMj9VSItVx9wgH1d2baWTBiy4nww1rz
+0o5ySAdyZI8IYEGj0nlxPy3xmgNsmrLqEfKsM+k9uaPUI4sVBho4Apq1a/42CpF2wt9L1ikTxIE
ZxxLuVcX0d+vxd5L7Kr7J3KbljbRi6AapWc5kLcqB/3+Jb7gkXtRxddpdyzdkS12UTZ3FxCCUmEO
EwFVxkUjfO1F8E/lBjvq1lPnMD8EMYuaSJz0Q/7KV7ZJRdoV8hQZv4NMnKgz642VzdfqG4HMCgUb
cSQtH/bzkHOItvn05Gph3peYnGWaBXElfbpJ4VWAZ8hpUjL55mN8/+c+KJY89Vlc23qKEZs2v/TP
rixrgc8b566Kjs/QW1h87e4QNnceka0AxCMLQkU8IUbiZMMbMjpS8LUdfDFknlp5uBmKc5fr5xL9
Spw9uPW3ZZxcNG7klK4IfKUNDcaW4pIBjYq/09i6v6jAV7NY7Ei/TvPrO1c/7sc5udvj71zyXpjT
MkfeWC4RDN8BaixOIS7jRtSZfPUnqnrwe84RUfhjLYHqdGSeGe4osJy2DDXULI6L7kHAz1pg/6//
ks5MaDjKKL/qeh89ShNNi+SmUsTA7tbzmIye6sD6kd5HOeydhxEOLjh/v1VoVjFO6viy3vJYhejf
+DQxTm+Z8sBFmvaInm3CsnpRQ8+atdqEDPEUIAH+YmCQ9y1O4oMYA7Lwz+63flftRzGbSOs/P6hI
m5Y9hGo762y8BAiFdTkOLI9z9bqQMcMZ6iPsEBaURNvZgx5TeVVSDIhAiPCsEhIrx83yKWixy18k
qJCysZm9DKzMagEGkPEWrHvEgBVyTRUsjX7s6F2BbCqtWBShxatU7a5Y3hmRJeg+yn9SH4Ff+n4p
29HKG52XBy7GoDTXHbJcxfAi+bBlzmPN167AbSsbX13FZ19Pt5IgOIguq41covZEchaYLyLG+wRm
9dbrZ2tB4qDHEU6Lo8ybeLR8wpZlJzRLu3GKw18JUmxI6dHL1Kxa/XN/0696+iYXnqMhdvLh+4TL
R6a6P/ZkzotnvPg9ti+uWdZo+LhIQa+NhNRJ1r0YqOn6E9zKaS2y1hnxCsQfdUOdf3wAiYGOP4KS
+3vCxLlqCJt1GACLSqRNN1/ShLveW5sTz+if/Yvu5WUMrChyNIT/mrldVIV9M6DTBBH08kXgphhJ
myABM1vprGQ7B1Ozjt7qvjTFy//AhXVLX7mE4k3e/3q98C2UiLmZoIUF1lRm/0OmsmPo8SnLOkS9
xn7GF31qHl+UowEKkE7mJmwdhvOerNWqmCnucJqoaoHAJzGaQQ+9i9M05Ne4SclwZ1q37fCcIoTd
Ahsf7CJ1S+PsFGdAh/u2FET5iJUsbj40KMom86fxrdyiHG+lQEPAIyCaPMGRktxOHPIw19vH9tmf
URPqgF3iTSxbTu1Ya+MIFzs9On4Jnl6eRLYk6WJ+Pdop/jeZ71cF8Y3NLCc4oeWe0R2ui56IUt5N
EjS+N99Lcfl6j4DwjL6T5MwAKmO74JBpBLafseZApMA2zHdVGTinChvt7DwHzAL6W/vn/NsIrNus
QC56xh7+HFWo+2QWnfmuIYtuRr8YTT3eZO5e6ZBIw8RUNq7ifgJ81RnWM+kNNTMdYjrd5BREGLgT
/dJeJmA731F10Nzt3/V+yjBwdgDZy0Sm3SsZURepy+CWv0vjuPRaW63VAOTcd6nx3McdQtXJhSRV
us+WzVOO7np3jG4sGueqpYHiflvk5/3mDiNZx8ErK0QTpEppDeG9dTnxAaZ2EUAADzdBbTTC8vNj
ftP60RCJP+9jf+rOWWJ+AcTlg1UatFtW6KNdddHgVK4zRJZuZtxHYN3etyjTAjRtNg3OLjybeZVi
8KbGTcwRpwheIAFTRkdwsaYmwlPDYau417FxS3X2Z9qZcIWkpCWTPF1aGdZgqwIxe2YekNvNjrHR
JfeKdKvuOOTdrw8F/Q1tEE2BkufnKZizHgTR2CCCnI1dF3V8BKQVZS7j59AMOHFha46jZ926llQe
XfO4iHikzGuiwZShqlib9rwqcURIe13ekDqcO5mfwfpvWrHXJAlMX6KzxuhJqA7DnBwgEXWd257o
WrqTLu+UYx21GtjGRAATxUBvYbfZu1syggjXPPTn+yXc0dLRcRt/HjRsz0cSgDL8Pkk2AxDE0dcn
6EqfJipQ1fqLZSTWuvQx5GHjd3n/c4zz/XZK/EYdRUcLUSOCmsBIqHZf0po9K/F9KTucvY00FIVG
qnqq7BpuDW0uWLNiQ6LHSkmuSOWwaXRwIGSPdCj3P2iliFYazkK5k3gEd0kAdVMqSyx4kK146AuV
0dEu8S110sAgev4qxDXyhXfzwB8FNLm9BRlUTMkS7QYWFGdNPatPFBKIqcqu2xaENI6ICOBCpfqN
KtMRIfX5eRm2ogY4Cf6Uj2jy1L6CaQGUFfibVfP2LMEzui3GXhkif5ponDqJVlZUr+L2KverbNFz
00fB12sToFDI7e65go1wTuLb6JSAJmibZ7rmelSbQvjKc6PDX7OpmePk2J7I0hR6MneAQZDJhKVv
biPdiu18Z0bFD/TeeAeiAtsd6Ow2JxA+QDohWhaN942GjrOfpNVPZhvDf/czgMhllI4UJC33l3Ft
pC55G0rsIXJU41Z3y+fOZfhXFoZc2HSNvQszE/oxEHqPect+t6nW3XJQUCu+Jh0zPQ7Gdt9vNyCT
xH/Np67ZklKMozurO+cCjDzZDRd361AV+3DEp/3Ifq5ReAYjLxOJkk+tRjcMdsMWJOL7VB0rlqxm
qMPeWF7ghN9cCnfVBa/1dmx2rEabqovSx8kBD36xSZ9bXQiLwOGiRNZPmhVZXLZRvU0pWS0JZPea
0UBKWAbj4Cs95sOIWGfXvlZsFO5h/S1pNQLc18bVVHesxaa4rMkUgk6prUouyJ3iqF3uxV5T3MAi
Vthy4zz6YOOpYtayEwuB//eMZD2+8psUwcPHHMQv3Blq64B/FRYo1xn0jxpsJ6h86WHg3QeZ2NjW
TCiXOOWBq3Biu9daaTB51ppCFMLJ/1wbDGNZqXUTL/sdlVj1/zPSfPkTpP/WYbdKPX8tNqsF8vNj
hVH3vdlTjGRpecf7Ms0P03NRIaLALgf11M48vDORPzl0O+1Bue9v/MUaM42+ThUyp+wR4QYcoaiW
6u1iQhT/JtPcBtCNjC9yMRPQTtZZi4kry9IrznLalNbC0xdIc/VTB06faMfpblK6jkM+9OVWMMKZ
/zr7QjTxfO+fBku60qCJsC4xhqHkh4/jHniCF4afwo1cxihFYJaGZGvj3wDdELPvJ9lNNUGjrfuh
MnFvJVVI4IZFuFvNleFYtCnrZBE++xYbF6fjmo5ZT3D0dONPke6XYUcI4QhHrvZJ3R/EgD5t1lY2
xMjOBYfvznYkyR+749PsP4myFtqB6mOsMGeA61O2kJJ09vdYtddsnhhE4ziLzpeyt8TIByLxdRH5
dsms9+cUaIiNOv5fU1kj2/UnhlZ9MaXvdKWjrMUqQeLkISQVDsRVmbCEuJM6SKGJT6dNVBsqdj+2
DzGi84Rh62k1DHHC+S1NYW0LS+cfO4R7/ry+o6gfkmdZvymYXhfTJdv8xB4PesFiVMUm2JtrRinw
bAmPb0WON9/IIHqDKY2bH8qiSgQbUwR1i9gCrOi18rbPoM1xGpa/Bwnq1nBMELFL/ubjBW7sZbKq
KivUGv3EWKaIVfTfa8oJy/yU+Vrd0rROM9XB1C7fpMyP9LL0cTUH4ZitJebH/F4PMFsPpMtxqcpg
BNzFuCBNw4dWCP1Hjx5cTn1gb2vXRIL/iMVE2Dq3UjuO6mw7m+VTkaoDV51bZtmaj2NnNgogb2q2
ljse5vqyFV2IqSzpSMTOdkXJdR8UNi/W2EFibjL0t8JPZwg8G5LWwRa8RSygyGOWywymnaAQT+qG
DKtbXwG9DVEg4JnQ/glfvxXiryIXqkWkXt3nU41iu9B33pm4LlOaIbJ3kKNQ1GTobQ5ZdANFn37B
ZXQQNnRol8Fxpf3CsktNC58Jg4zVGbH5OFtlLC+5LhMFvDY8tOD786q5HO0XYZvmtTLDV1JN09nw
QDBDg6CdUmWAROfoj61UIWVJ/si9in3en1mWyxfEuWpDYNy1juyEoh4s7slN8Nct1R6sehfqjErb
EQ/k2o0dQkycJOnMrv/fkZO3XM6hFX32IjF71VRKCGaF/YjEYgkmJ0TfHc4yQEFSVd20SZYGed1e
buNs4Nwj5/BGSTfqVFcSsxd4fp0uJ+0qFEL8rULO22Sfs1lwaB35qi05Ilx8Tn5qA1JE9T2TiAC4
0h9aTfhhX2vlHdkMDJT8ZSjCvv5O2PPrJokDWABKJk5iJdK70nhYbL7aFMitd7FLRdAvBLFZBhXX
83o3RQpTgD5RGveis2nBpJlFE6oynv48U7bfetQymnZhJfyOEb4/EAA/f99vqHzAXtks5j07zm5s
hiSfhnah2/amKArj0PfVGy054sfwdIVYHj+u8aVw8EuC0I6I/96h9LsHKUejnOZ3xy+OEy+7Lef0
XOifeZPmC1QAUs8O73ffUjcFVBjWvBaM3lxBdgSM8ULl8XplBTZH4wMyied6ydPSXb5KUnbcm1ug
/yj3haS0lE6+9yymwbwZihG8MA7IYFAo0NWtDfFN9JnbvijNQy6NMwKCDWXjTaC8FegMPYEMp9uV
Cw2NV2hplTbHVi5ruR1VtcS62w3HWTRF9DkJljQblkJAchdECiV/QGCSc/EiYn1yCO49H3wRCfK2
dsE5ycdMZA0klXIUCH7UxIwkx2yh9DtObK1arRtnNV1WVW94SOeTnHqFTrXc2zAtyXTh6St2XJ4n
G5iNPWaIvIsyndXMdybAPcCjDTdHYVdLlK65K3C6QGGWTc2xgqPAZc5xxkrFCg3SuvVulSVXxhhd
5WNMRjiHirx+o3LziXEH0LrR030CbmnvHq1F2cEf9+erunCxiNvulqpzB2+y1XdSz3BACz3Mm+Rh
u0TGlgSCJ82D+J1/84vyCdKF860mQdw7T/mn7BqqlpJIFqivRc/RyJbphSYTil0e+auWY37jmLrx
3lvp3tczZLWoGa0rVhqVXJN9B2HgjHU9iy4cG3Zx9R+T/OwfBujV7/bbxvGNIumT+Yk4xYDXZQyW
8wopIyNQoJj0/sYfC7//I6PeH2vWUn2sqWRCJZw4qc5wEiMCcTj1O9rF/pQsrtEXF/bBX7+lXtfi
4/1blPTqF+K5KduY1WYPjweuhTXgvdWzJFCC3Bp2dJG4wUmK0uYvxrE+FIT+F1TLoA6OPpsOMxqC
z6wR4lKA1/DNqvozv0jpJBhACPyWThQMHqn/biw4U5YTW/UA4VcX3/iMw9m6EIdJZVuLyID+YLJ2
fvFcwMUtwrnd70byFHEvDwY7P9oVg0NDGmC04rvt4YtDzdf7dmmXKci1Lg3rIOGA+Bx3qiA8n9je
bbCIltH3uIP6wN0bYq/lAN5FmpVPRHAKZW5kc3RyZWFtCmVuZG9iagoxMTAgMCBvYmoKPDwKL0xl
bmd0aDEgMTYyOQovTGVuZ3RoMiA5MzgxCi9MZW5ndGgzIDAKL0xlbmd0aCAxMDQ1MyAgICAgCi9G
aWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQp4nI2WZVRcadOuIbg7hGAbd7qxIMHd3d0aaKQb
l+AaLAlOcE0gBHcPDsHdgktCcIIG/VZm5puZ9z1nrXNW/9lXyd1Vz1O112ak1dDmlLSBW0Hk4DAP
Tm4usDAgrarFLQCAwbxcYDAPJiOjDtTDCfKXGZNRD+LmDoXDhP8VIO0GsfSAwmEylh4QYUAVDgOU
PJ0Abl6A+7kwt4AwGAzwgMFC/xsIdxMGZCy9oDaAKhegBIdB3DEZpeEuvm5QO3sPYeDvR4DFmhXg
FhIS4PgjHZB0hrhBrS1hgKqlhz3E2dIDam3pBGjDraEQD9//kGARsffwcBEGgby9vbksnd254G52
YqwcgDfUwx7QgrhD3LwgNsDvhgE1S2fIn51xYTICOvZQ9z/t2nBbD29LNwgAdQecoNYQmDvEBvCE
2UDcAA97CKCtqAKou0Bgfwar/BnAAfx1NgA3F/ffcn9l/xaCwv5ItrS2hju7WMJ8oTA7wBbqBAHU
5VS4PHw8OABLmM3vQEsndzgmI2DpZQl1srRygvxZuSUgJ6kJWHoIA3+1527tBnXxcOdyhzr9bhH0
WwaTkVEWZiMNd3aGwDzcMX/XJwN1g1h7wN18QX/erCMM7g3z+wtsoTAb299N2Hi6gHRhUFdPiKLM
XyE2ni6Y/9jsIB4APxgMFhDiByCuAMTH2h70W17H1wXyh5P7t9kSZhPg5wJ3AWwtndwhAVBbiJM7
BNPP3dILAni4eUIC/P7t+E/C5OYGbKDWHoAVxA4Kw/xHnRuwgdj+yaqWHm5QH8AYzAUGcwPg37+/
n0zdIJY2cJiT7z/hf9wvSFleS0pKjf3Pjv/2SUnBfQA/Tl5egJOHHwwI8fEDAnxCQMB/qmhYQv+q
AvxPqiLMFg4I/VmsjafL/xbs9df9s/y1G6zAf2qpwT2g1hCA5Z8ZNwHzg61NwPzc/9+T/kfK/23A
f6v8v2b8vwuS83Ry+sPN8of//3BbOkOdfP8KgDu7eHpA3ABVuA3EDfbfofqQP3dWFWID9XT+b6+i
h6UT1FoSZuf09zFC3eWgPhAbDaiHtf2fw/KnXff3kjlBYRANuDv091sF4OQGg//Lp2MPtXaEQdzd
Af4/XRCYzX/9pSzMGm7ze8N4+J8Dlm5ulr6YYIAb4OHnB/y4ASjMBuLzxwwDIC4Y3MMGYgu4eHoE
ALZwN8zfNyoABkByv01/kJAAALL8hwQBkNU/JASArP+m37WCbP6F3AAI8i/kAUC2/0JeAGT3L+QH
QNB/oSAAcvoXCgEg53+QGwyAYP9CbgAE/xfyACCXfyEfAHL7F/IDIPd/4XMA5PEP8oABkM+/kBsA
+f6B/3HC1p5ubhCYxx87AIHZ/C//8UKDQHwg1piLc3DrF+EONeFt11WSFN6cO2Oi04w7+u9YOf0W
3do9b3DRUlgrs0LX3C4lU7504y9vybJcSCzR3PvtN9ehvWpJ0my99b8zT9Ca3GnFXJgg7R8v2pes
7aPCoOTUkfjmf+/qrxfiiNSM+FmJMc/VUxBXo4Do2rtX3qe2r/TrSOTcjua3yufKWHelU5yvdeNM
QopnGPOtsmef0qF6cFKhsxGe+ODNXFxOE+aOP9IoJbBjBhy85n3vZ7TO8+bX7MuVMh0e905yBnKj
p1RIF4Qjk0x+UrupSmTzfiUfYvGbuIZ5Cu6Vsk0PojEXlGhZzHaCe/wcxpS70GQOLtdjmHwgke3D
366CA1DRT17KtUnXocd+048wlPfpEm1x1qSEJ38h4LJ+gm90+dn/etbzUGmyOIMUahWMMwLuWG2O
eUPilkaMySKsZ5RTGh/A4emjvVDU1XFiVyDbF+3WI1gvZUhgiLu3pjEtniK/VJCHj/JVI12gA28l
s+tbmphFrDn6z7ZWcsLXL3CdQ0Wu4+bkdFQ3b8f13peoKjzZoN+en/Q1km9Ptj6No9WpMthIuwqw
c3QVylYgJDvAIU248Cu/B0n6RV2LXUdqRRz+Ik7tZtrSn9274AvZvWTz2bSfalvje1VPpeid6oIz
lCiSIyM4d2LIq0e265UxMFlxr0jNdRdxB59YidKtMVWV62nguFvbG2jR74gLO+XQqZ2lsRpAt1jl
GtKxRaV4fkPAYnNDqaglhCAhwlo6d1f4wBFO2akdl3QVXMeea2c5tqR1RJckcuIsH5zNGkQ5vVGL
96ys21wSAY2oz6dSFkplwiVrd/Bzqu7oe+ZQtIb79xdIznbVlW1Z/UdLPrLab9OTzzsDChjs4iVs
m9VgC7iZm5YfngLNHIbdWTzwqhAExjazrjEGxc2A6sE83QoQccGTtutvdt+p2zUOmODu47FNgSE/
Y0RffjSlKUdamXU6SzDpx7p/n5TgFyM/eDUU8wtP1GuRU+wLjhAx4cAdYaBEE1qsNX666aip0rO1
p8Nv2utEMfgw804XvKEn89QKOMUXGTykal2vLC9kbWyPX8XGFLg/zZ6VWUUnwh/n9PM1S9FsIU7e
cqbEown2jpfHlQ1axxZu383G9H8m3Gm2THIh99Jc0TtvaME2WOL223pwUPkdo0jaW/1KuXbTSMWq
8fM+il/PCSZjx9y9aceTFZ4SqrMJqQ5N0T2pzveSIoq7qOjbEGO1LU6FmQbYTL6NllqqfQZ9aIfl
8ibPESk4vEiO8/CklFQL1w4g2Y4I+ljw1KwIsZXQTzDNknG8zFy5ynyRVxLdEqVQ5kWW6ZbZ694o
MjHHgje6tf6i50X5cPO3AyueL18e06IttJPjbuYI5wa1h44cxFtQUhHwfHihcSfTyJt5KuHvoRCB
8myKcsLDlNixS1ciJ0fAltfFRFXmCB13XJbG+NExFK+0mtNozHlfWoFbgkJOXQwL60yH2bS68WgK
nDq8tFQvpDVHhL1pPt8VmzArL9l+eYSLl1D4/ktrSol3sb6hTvdqf9hW8JEH7U//mTH7QXY0No7J
+wUhPAN7X/5PQda8jO8J7DMOKVYFHDjUfaZfNV4sv9PxjGpa6lDu0dRMCWA+M1DUfY/w1iWQrAQn
OHEupevjff9UC7z10mV5nEJ1L8Qr+RZWutw/e6D/6pVNmytpHQrnTFzZEtkmnqdv+EBmWdBw0lAw
B3VEXIliFdVRZbec4wvsKy0q/rklhbJdE//4QzjyL7SrPbqegeAdtoL+MP0ssPKwTKRO+ies2qVw
+Ynhs2Wd2bDjtG3Ha1SB+Z4ZzvwPD51ID/XqtplSrNVIupPStrKCXLU4ivpgv9XNAfmZD0cRybsY
9URS1VcxoxFSRFrkLvT2rSuoBLh7nzeVzddeXXxWPb9c9NeViVlN/zQbyzZ6yNa3eNI1peHj3JFT
5Ua9R7IRKzgOMhjSIScRaNcKlwJ5EmN7XxvwhFwF6g/pxVYDLWFmV/Yy0L2fdV2fIVk0Oi9KjHcL
uTuoZ7ckFTuU3xNpcp9W3SKvhlq16l0gDc9AtTaO6/sfAguHR7aR4oQe6ZkpUE2KGz/m4C5huYzt
lSUo8fN/qkK1e4kkEB9iJ69QHjUuzRLyZnH6dqkugoszX0FknRx9lBwvWrBVRml10chqoTZIfsaH
TJ2p9QgpNOJLn2H/lug6Qf/dvOQeji9aEyXkq56ZnPNytGjhUThNyM3NNWpccYbjCNfl8e2OzAcW
cMnTFT4JA9HgSV7rn62PK4I1w3U76I503dd2cnN5rdbERN4v2zmbHlNMmJEK2RLWEfSeImh93uS9
zbswYv7hifxac5ugby/yUfmpam2WDabVSHp7l1A1YpNnUrS7juGdvWLhehC1c4SpzUq3SAU2HzEh
UfnERenF21jRh8LmyxzPZoMxUS342YxFMdr31ewKvV+zz95bMBCBxF42WAks5twzO3xXJEfliGaA
7sB3+W4nt7o7uJamR3iKWCX0ywuZ1XQ/bUUwvhiKOVtKjGAHi8qylrKxaqQtGhfaiTrVsc1pryCc
/RrwbssyTCRNdNLUn/Flu4ewApkIPNBb7kwVpECLUxWlW5N2eKC0g7L94UpgekvWVPy6M5nLkNys
xrmFWn/8YpUkclkIAfsBd7BkIe49dqBkv1cYAqhvXDWtCUh/amoGgiLT6dMUnjicFWPCk3WXFkRo
Zq23D4rqfxlQtXODRK7bfRp28AwepTNym1SPXhmobNF1in18t5KPBJKDjgw2oKl685sbToa6FiW3
0/yyhpOtfo5wsGrRmmwdt8hL+0Q3FmD6NJ6GIDE8xqeoU5t5kcc395j4ZJ4pthe2xLPj0eaAEvxT
s1h77vCw7pRx7FipWnqmZ+WnYoBK59tobeOO8ht75Yy13aQSPhaVXqqj5L3y2DSiXK7iMjoyAXCu
U5qD3nhUy1QNRPGWw2eoS00gqOer3jufH3grTcnxEXMhg24ranjVDnBHZMmohpb6dJopQPzLuMgv
LXCA8YpA5nQ+ZVDlhklznTekuDflzJt3UidvQ3eDR54IeTpoeFDxO42664VhWMpi+bJFBNb1C9zJ
DKdnWekC75+b86iK6pMxKQcx+E/MM3O2ji6WHokhZGlVwz0ECTBOoLQOLijs242fuZBbRKpzOp5p
7mMugLvPo7REexQn+EuNm3WdD3i2S6684kC/EowN0mIif6QremkmpRNyFpjVf+fqZG1LEjWx08gq
KktuPPVlPajHJ8NoYMOOEjfusPvMOJH0NZYu+iewFIgd4zT2tfylCtG7MeFb92Lr9mNZ1J000T5f
TH8Eo0d1cvb1ipFtNmlIQYY5fY6YZ8A7ZKFlIfuNj0Ka7whzLCipfqAjV5s9MxwXYHVB0+lesyj4
OOrPS6DrdTeE1/BcQlub7W1VtxQk1il9IjTokGrDXdCpAdh5FZDoKkd1spmLAKBK1FwQbj8KjU5/
JH/q9VX3lcYLwtDDZbK0Xw9Yvlw7XU/wZ2yf6RXOPkNtWucuxkQKCS1YZNygztVPcIki9AO7YNrM
Mkhk0L0RZutTfwv+oQRZKklqDO3uUsvWpHBc/7QXaZCLHuzUcmnoK569XjK82KFaekdM7sW5tWRW
qQh5P8VJgYYU0pgmLl6nh/3a6ZO8MV32qPQLhs6g/BLUUg+UA5Z6zan3hJiJU/wNkas6n846bcd/
NZ1nWI/IvBJSbEWWQp8uuDIGSSdcORCqizPQZsKJ6is7kV39OB5WcpwKsXyrSWUmvKJaBGkZWjsL
bHmmYndIloysfF/QghF8FQf0l/G0ml7j9c/w48dehZlfzs51bPKkiI3ch50sET6vzc7cvih5QuA3
EgqOuGjNNmWqJU9N1gsPLBub6jS0WSZXU0huDMbwwnnnJcYyXq5LzJhPyE6Z3LXTbdz3eVgwViae
cwemyy3fkKuCdRozPvhRbvleTXxv4AuztTiVOVKD8awXzi9rb50Xoy8dRg2iGqB2bPKkNEdhJI27
sNgW1ChoS9vJO8dy3ToJo8YQGuQBQmgyfgtPS+Lhm0qX1sZGl/rlsvQZi8wE6sXyfVHkSeWtjSYp
wrPEchiqkGrv9LeMo/c2GHO9z80OrEh3ILsGVSW+Qr/osxAnd52jUSlqymSVIeY1xXnSZUBPLmcl
C0IQs9Ty6hsCeLbR61RP+jkB9zsP5Z5CdqTBtF/9rHKHrMIo1LepORKLMfg+VeEpjO++9Hk7jlJ9
r8Ej+bhGmFz8KtkauaK8AfUcCV2yTqx3Ng1Ti6QgLCNwUKj9baS0dqtqZ3XLxXeh8CXcXRQUJQXi
NOLBSZFn8uq6fA425W21NoJfZCh3TDQ2oF2Nn3g3hdM0GtIG1fIF0q6e8Nh9Ku0r16rhr3ZyTX3W
QtN7EXccLj47Mz+z8cQPPrVBvfmALty87PyKCWPhXcSE514FDq2LuXhOl7WXQTAHxmigQzR0NY/m
/YDIh6g5Ig4yqmHTU13/9HMxqfIw/ENt2TDvtVDRrygMDo+rukfMYN+H4G0ZlJ58p9eoDhb5plSk
uAY+Og2YI61XTnddyIiPRmLQS9IhFjVRllFE7yw/hDju6XPLD4Yfwjw1oGWB/HspKvEM/l2/eG83
U31F184H29/mz955GSXJqiOhtkR/sdtAVHz6A8827seZwSTPZgXIVajBsW695gBCwWLjXc0mrmkd
+UmmKdiS+WyzC1sbJ4oMfK6WVTKJKi1e37yuFogdwiJLFVtvIyci0q+asLF74d+GJaDjOWRrpV8S
Y2O9VfzYFxJTfPg15gBHo4kreWjmqnJFXjqvl9SpMFlAs5nDCayq9+oOM1pjmJqMAJ9lvv7+3Q2x
+xHtCggRe7MzTFPlbATFZl6mGcgRLzPRQFlO9Pn6hFgXPQylnhde90YVATsNIXufBTj115Okq0fG
2FdEPOOgP5+NUdFaB30ofoXpkMC1Un8cfjOH5dKT+dZnbdPnk/ZrZ2+8MYfDki2mII5ZfPv6enhy
r5hvY52p0TUUSYWAYx2/4SM23qhjmKRqN0b1Qkgf8p2mI0EEdpCQStqXu2+Sb3IbJYYvlbwuOIA7
mc7aKQbzWZ/mN9ovQf3bDN59abKvS2OIDTdwneQR+vevC9LTAjftX9PFfk+s+axXoRxmPKur++Ki
VOM5N8ZWc2EMudf39aFGvmQ0mg4XOk9lFjSYvV8IBP8ig8hKscDiOF+ablAsuGDrOlcsO5WQYmtU
+/KslJ+5hHTsJAPorqPJztDL4F2GvZt2rBo9RbezOHdw/3Q0Zr9NwaiirukRj06uZYh1+e4rrL4O
mTK7aN2T0g5Vg89EK1mVvpAxcJP+R18s+pN99ZPD0EKpjz1Gz1reZJgNnHcaY1msQamllhIu4cdb
AjFh1DrUJf2Ja28ZXAdlsfunUG85clitXlhOM1+QP42rEeyADTvHEse2NLJ9efyxtUeP6bxKTn2x
bJ+AYnWX/tlRe58rc/ulIsIjSDS11czS7WVDkQVuKvX987xPzxMoZ2DSx71rnaTm3cn97JS1olda
9fdozmRtuev4NWeJ3DHzkPIyq4qw6YDcZFirXORbRff7b2KHnmXVAKIKkh1sWH9OQ5p0Rc1rLbvI
ycMXUUr4qRriWwlHpzRY8aAJgXJA1M/8hTP2cJ+ryisYZstLk4CcrbcF6sbbdT/lhuZmm/VZu/ka
RMSD35LvrvQpjAVFqpIn6n7ksGYFb0ex5/bJkPRHr52T52cEkqxXpv8UCYGOftnxkbGoc9X0ti1x
SW2XK/3a9KuUnkXptQQzUsBEt+iRFDWtxd0p62Fhh+1jiDoI7vzBK/oMzyG6rgYmPAH5kfN+2nnp
qLzhiTlv+HR0iHRm5Riu706sOE2/Nj3uZCNGsLahcFxhIHS/SMFhXO91H3U+S83PmwInuVc07N16
jsJ3o5wCGU3JXXkvDLMHnoCkLi1e1ERlNl5bOG+UeIlSWLqkb18OFMti1UKrX6hBnsW35EkxGBzG
xgfuodBjqloRaYdLHl3Fyj0V5LpeiWPithaPpM8ko41ZlhJFrT5/6N9cNCW7n38lPIQiLwi7qZNx
Td7cR71TLSQqndE8ULLCH8uoMNPJnK7H7nGw/TkBWTVkuChuZ+Y+UqEHTBEKGjOdkiVLazgvp6NH
c7Knhr5Thfrk35IpdDzjQCnvfhrDWtTAspdrrKkfoljyWdK5DlRrecszI5PoYvEIEWc77vTK+8pq
oeFxyi+oe7IqdUYaWW3ILdSDlzt74xWE5+/v/Gm15tfNuL3NucRq6aXQ1aUREDqDpSNNwBSVl/ZR
OC6yWCg8Yb/BL30rVrINVdtZv/ZbWrApP13svZus1+JOFP0NC+WS/Wl+Vq9Op5MOvpJBQ4tQejuV
UnRg2g2fVNSp6+BH9ne+joW25INLbKGHgTmVrrSaJMceroKhGq2dnqdYF0orvqN7lYmDAEf6wVQo
18ejO6hlT+m0ZEy06P4MDnt26Gw+TFATsULQVwOla/TmFI/BZRsFy76l37Mwif4Ieqk7I5CRGFaA
76Q6s/rKdFEhnqHZqd9VpmorGas/RxqNGJK50fbc7Plo4WuZp79kaBpdlIvI0irYINF1ui1wzaon
ciVoI+poh8cTxgJPbuztEDff3Z3UaOP4hZi2Jm+MEloIDTZIntOoSFB8oucaCz9At9xrKciypi1G
/IycfwIunWdM8xFMIM1+R+1ydpeoSnd4j6StROT69Kdzsn7VuywJ+smFhAejiJcaxJKl6MiRuTv9
pg11gFC3WBNU21XcHRdpj+7Rr2b/iFM/j52+SRYP9crZeJ76tRnm7GjUFONdpIiWabEtrYLEobvS
+OdR6d7LzzQdyHzvvz4keeb/kp3xvFCcpF6YWyKhUY58wDyOPBxL/IQV2Uo6HN5dBOXHSTxXGfH4
OgVSJ52oMyREeMz4xuNbosuHvgIIGmW69nEL//FZmUKLXEVqFfLNBoJXZIwp6/Zdzh7yfre3qkyB
aU9OZiEGaz3VolqNZhOB6+2jdOe7J8uXRpEYYilmyhjn673aOcrphCJoELSypauwjx821eapulV7
xfRjNZ298NuKp/Vv6MNCC+Rho5mEww5azsczlPZMX76pypkgjKRozrD0aeNl1h4jMYphnXQOpLof
P8Y0CcBmMqwHuaKdO5GuTx2mv8fFtHSu+e7hb93KtrOR3itQyKURm/NfWuJy1ZqZKXR7PlRndNSx
0B42FWDxrQuiXhF+nO8jpUpbkJFDXsIce2R1WSt4WQXkzFQL4fU6HxUlLcm+qmqbp7iUj8EZ02UD
5JjDw/eDxfhrP78BGVqCOb88qSiOYM2+NfFEvAmdePXt2tcx6Ph64CdTrnLpzGmImzZuHF/vG230
8aaLwRVRs2oN3lHXyhA5iuGlt4Rqote/HKn82036aGyFD0BrdQvvTNkvyibn/JJGJLcxVFPwOIbJ
yPWTpzvp6BHUh9EvWSiydQnhJN1h8jGT5nJ2AtuO9Y1RruJNCOSmZecQ/BK4a/1qM3nnerIqLqvq
Hc+eQtmowUJD8q6Ez2zRa+t6wyLk5e82x7Abd6qn47ytl7l7e/NtcyP6hQHznEaod32B/og7+LNo
ByPk6DxMthgsVGE4izuLOpQMLXfax0Vs8fnvFEIWKUeDebJjtv1iEtlxYj6pSa1SMFwvHbGR7Vf7
koKjvvHxODL0upZ7tIpHcHhUT/kz2qu8SDsL5lvfx3g8waBcC5CheLkx38HGF+aw8sR/Tcv2iODd
cnbK7JSKsiOzuC4XtVdNb4JSsaiQQKyM9BQ+5WXuZU2YnEsqnjN2rPsD9SvbcBZhMaTpQmnttM95
LW+w6a8QuiS/KXz6mPTsAXuKlyJhKVfrPFB0CCP34DrVCzwhptAqoGCqL3GC3RSW98FCId08T2Vc
1+JLG95779IGpsjzzG+Nw7srzgxS3z34GH0gc0usmAfq2lKRFWD7j0FXStGr2hQNqgeWiOuqFtYo
r3f7QtLvc+n55Fl90Ni9cHoln62hWGsi+ROIXpBiPZ64UnD7ifdq9oZVGRQjtnyK6SLaKHBKNore
9YnUM5vn2gE9o1rqjKJkFsoV5NRt9Fv3W5Fjp2u1YRPnOpj0N7QhFPdWxUfMkPUPZlAv32g9P7zp
NzIDRcwft82Jruie3SI1UekFOJB+DM/Yf00Ux3CKHOuqdOW0qixPz5ZoIT6Ky/aN2c+KF9y9KbbO
Td+nW7X/XHfLb/FlsmzjXFDSk478+J9WSTzvx/C8MGKnZdAIKq5jK+nMZVeVkBZkFrB1qT8zF5zc
YLI9rg32VSJwqNkxerUKWsiOVjTtA+k2llUCM9SczTvvEfvywhDyIOoZfYyCvYNhM9ytaZ86UwdI
g9QM6fuRWoiLStnvbWuIZ9NmTGCuhZYGV9EYdbm7lQp7Fgd52uTS6yNZrNWe/NujiAQxcrRjtO9A
QV36v8jPGNgaZyzrGoMM4RUX9HM2zKe68ggSawLPMEfYeyRIkrFW1gMwgwLwHnuWymPFT15xn4hq
D9hH2wI6CeVPZgNceSvt1WrpuAZpzMvkn33z9ryrZaxnHFBOGgRr3LVyInspT+XX8lh1kzj4UlZR
2fjmPQ2if6C1JE7VLTd1QV4lL1Tc9rFvwlLBxFrqkeU/qUyNbAGbkGHmf9XZxz1b3dPYu3dLFyR9
AhtOM/eYFOhbb/wRbRCb+7KwJBZh0/1lTjVhjvmXYwG4POC+Xdt/avN9wtLeTiuW4iRoTLgmeCsR
ET0tDhSqmiTT31GcKbuM1LyvHswbJNyOeHL8RFkRTb1fSR3XfUr/hAv1QcMHjyyl81YXSd2vYSVD
g8bD3TfZEzmTkc+Az+WeltlKXwZN9kfK2gPeU0qOI/74usrwNc2r4X2zQarnX3eZ3nwXFnsxl8Xl
svf+1s55lfvMyyODcy96+KQ94dfsCfaQqGFQy8LAQVbzaNk4yc+u18YD/T6re4vNWuWsxf1o49sy
vXUHnLvmwGH2XecWmOhGlmnohcLJHLny7ltY2373k/jWvshhnlH23r37xAEiShdvcY4Ajynpns3W
daaKlrsr6tlylG4camjN5LbwaS5yjVzCNND4ujn0Gf4EVjUVO29iQ4t8ABExecL7mgUUJALqePQc
5n0fY8GCkDV7wjOCZwQUerdMGI10t22HLioontUnJjJfkZ/DrtzNDlO8Kx7UXytca2fo9Z+o7wwh
Klo6q5/t2c2+1eGktMrRzqc9HFL6SQ9LpMm9euvnsJz7pjWIorpEk8CiILwV9yTWIsuQCa8852M2
hqrbgcVYDEZvV4t9C6nSF1SSjVqcPvs89hhhPy2N4PqqgljylCreDMQ7+qTtbnLWB7vxU1k6T9Sj
HvC15Btucfkxr++xn6013TtUopXVWXmcDaAsZWR33AZMss9D+hlBsuNnW0eTDs/evPHmX41Uk0Zz
lxh1PRmUSPyB+A6Y0B2YWfyV1DZrfWPqckrhWh3+DWxyd0o+nFcTFT8ZOd5Ykza9fEd1dW/sqf0o
nmR/62/esZc3WlFjxKKoRH/rI665V6hdKED3KFmL+8Ho0TpOOejW/YmaC+nKRPnKs0dzPnFjVMo3
mF95hJNWK+nRSiiUqF8x5KPRsnFm0fsay3yJeCHrjMbynDn6I5EtGQC88Vkd+Izl83nYY2oPfOQE
4q0gyFQ/Dr+ACZYU7kkQvQvCF32+aP050m7w5bzWo5f+5fctJaG25OsgowCyfD33K3uyhTPhVwyC
qIw8C4e1XKqaaoHcjCXAw3DYh76+Yo6sB74fJ24XBVg8Rbli5xieKGcP6zzZAg9kKPP6BetUxxx7
kyqDGrW3muyq9t0gBELZsZIz7DhF6psEawz6UQvq1O/h469Ic61ea3F0bEKyDzF8QZD7tcZcAbeA
ZGkG1zcMOM4tvCOSWovkIec11GpTv3IWOJN1HWkVUMgwr8iwauyEZoMPGfe/nVeUaaTIG5+Sy1Yu
Rri8GRfFczDHCjahdsZ6/ORHXmd/1Ny1SqvopvKBWA11H/1I8hcsBt8vzE6kHTtuY+8a3DMZre30
oa2eo1R+kDhTP/NmGK1gUhmNtD/IeeLBkc50d+0w3s2Nw5E6pCeLw6nJc/JJe6ZQN59SP8MpCQmw
HyMh1CSyVdrp0HckoRyi9YJFNsMr2Uhr1J8IifiHgtk6gZOGbrYyidaMlSiNyqd4xV0xy46uqE/2
blrCeZ0q6WcTwUWYGwGYMZvJXzL2yGpf5vckn9A/ElxyIUDg5E3Oi+vimS6AOYy0a/gJl8ppLZ2H
2480Z+GZT4UC0h9i1d91KPyiJSY9nO6FrmS+t43/yVZSq8p9hjZilpSrJgEu2nSqy0vlXz/9OC/E
Doiyp0k3yde6OxZbB5M0M+TzIeSK139/jTNVW1iF+NyvVKALI4D3VEDaWktEm3OrqXlaV9THuaRD
wfF6dozpCEdsKQxxJoGx8dxyFnsq7eCTotL4LOEdpeSlbWjr9s9EMmy+9WrcfquU9SHbhp8tuLa3
yQWdzWUViekk3dkdHIF05+YC88fF2oupxhSZs4a28mcw/89Z31IdYz+sGXjKtQynEXQM9X2u8bJ/
u0F1bYMbiRJvTjrZkdtuYdJl815vPWaujUC6dMTdrBF9waky8tzKtbGzkxipOEu/d7GICvH1GRp0
Sq9p6h6vsmg2O3dAUFOx9+Wv3M4Fgid9LMacu+opTAC/GeVkurhIwOgjcYiHORXnhjRSbkhvuZ5n
BWquBXsH5fAlY5WX5YhzcGu/vKgdFtE6V5czMurktKVQyEokr+iLovRWqLJt/RdiTPOydgHpoodw
/3ffcVDX2b71uX/U8WO6pepc1SKH8bS1eKUIWu+7YzMVY2Pcspid1TTksbw6FqbscfApqBjpxPY4
zuXQ82vrCS12cD4cMhzCo5tcaL4q6OX+yrUAx/kqGkr8katyLN49bETrrY2PmkloYpsHnl6wBrF5
wOEgKngndJ/3UtWG+AZxHBPZ8/5whM8wlWS/8imEKdWcOalKzF6h+cs3NaWTJHb9YcmbwteNb/sN
MoQqVgh4TDcaSL7N+C4nIdKLlGO3sn3o/cQr7FT0hSJGRJNYKbvqOt6NW/TsQ6h0OjR6vLMymVm7
j+EJ4jdyfdFt5oDpd4GJy2MM9zLsB/AmcomxiQkbN/zBiW+JHj8YS4ZVH2SyfR9umCRCij8smOW+
lsb2adI0bfX3ifysS5d99sCvn663aESe+JYnyfFzBN9zQQnjwbfmRM6qmQvbgY4KDMHN79ucg3lN
uHMVQ+DpPT/MkPD6d2Mt69F9Ox1TzxB207bvA5+4WycWIdy+nLSGb6dX4gQVLRGR9jgUxxeEm5EF
pRARzz+xgPA8lxiN1r4uEiQIO/vIAzz2YyGF3UZDtTX0JbXAcrzbFzefbVWHokVdfjr1NLZJWb0Z
3GKZWJ2tOovK6n0rLxJW5OnTJ3V0oG00vkZF6RyymRgZTkz8+OIsbWCNY2x52LQ8+XHkJe/2JZ20
jfQshJZABr0POS7lcGgw4aBewYkiDoicmrbW3AUcTcMqg25IYrKPasrnNbpQkfHqKVi+r+E84TXs
ZnLNtrIkXqt3m4iNPGLQ2Xp6MTIkPYBCko6TrnIUWi6PdDujF9GWekdg+hJ+zjyz8952MZrwueYR
R7Ln7EVqJzEVEpb2r/dQAvXkoLALsSCENNnRwBFjIU/OYqiJZhPb+CV4PqOpaqab8b0207T8W/Ed
WoZTBg8OYj2tsckesEueuENP0NNQVwPmA7dUH1TSPOyJi2eOAjkK1CXfI/Xiw94+m0XkUevHP4gT
iN752vNjW1Sqo1ROMUGjdmWzo+iIhKwr7eaB3aYSOGCLLjzwQ5LMpA143L7BlzzBD+d+WJQz8fyJ
ndM8z2QqxPPSWCd8hYKBP+2Mn2rBZUOtv0pJDDgA2doy7yqb9spirwyMDZQ6J5SwBn/nI0F6eAj2
iSAAqTyE80MLSHhG1kA1krQ0efxuL6u68S1rlk/phx1YlxkKpS0EsiQkQV8EUwzbtFBt8qbh1Npb
0kqnRfYxhh/nPFTeI+Yveb3ZwQ8VGsVdmnjeRGlGc8Lr9DXqdZMv97O1nmcGG0kK9rGgU59gtU+b
aG9MjSsYXGFHZP4aY9+jzkoiTOdqeqhlV0sx1U7W/edH8jg5BfVQ5pY4vT/FBekEjPr/JA1LUCrv
3OkiBXOjbhcZ7ISsluaLtCa9kuHlGi8RIFSmUtol/CCcUNc5y1XIIArdeXy8x/kGwo86XaeIvkBQ
RxeofiqTUhx6Hug2Xkijz7yyu3qCLvgqikaZkvSy0YeFHz0LsWKIW0bkndPSgW6jME3+SSRDpj6+
r+jTLs0wbqvzFypbq7et11yFJXuyvXmCOeVO6z07nXpDlxp0jzXHXOcvFTA+XPEghZstuM/4YfKw
3Vccubp/lZhWV25Atb8W5bccwLTKU3Z+HqzQTZtFkdP3UPtocjWOi/8FVGLKQh4Wr8NafjMM9S3a
9WcwrWIjCL18QQ14f6bLd5t+gDV+T5mTqEYXiVxi8AtELboUcmJ+DkjFdfoS+LCd29cLuhpZXT+l
D3pOtHx+9rh+TKJjJkKNTiamW/WcK4rkQxllCYw46gJx06U9PGJ+zESeqQoN+j8U+UijCmVuZHN0
cmVhbQplbmRvYmoKMTEyIDAgb2JqCjw8Ci9MZW5ndGgxIDE2ODEKL0xlbmd0aDIgMTA4NzYKL0xl
bmd0aDMgMAovTGVuZ3RoIDExOTc0ICAgICAKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFt
CnicjbRlVFxtEq6NBPfgvnENjQd3d3droIEO0I00rkEDBAgQQtDgbsEJTnAnSLDgBEuA4EHPemVm
3pnvW+uc1X/2Vfddtav6qWezMOjoP5O1h9tClOAwxDM+Hl4xQF7TQJWPF+DlFeDh5eXHZmExgCJc
IP+KY7MYQTw8oXCY2D8c8h4QMAIKhymAERAxQBMOA9S8XAA+AYBPWIzvuRgvL8DPyyv6LyPcQwxQ
AHtD7QFNHkANDoN4YrPIw938PKCOTggx4N+PALsdB8AnKvqc+890QNYV4gG1A8MATTDCCeIKRkDt
wC6APtwOCkH4/VcJdgknBMJNDATy8fHhAbt68sA9HKU4uAEfKMIJ0IN4Qjy8IfbAHyMDWmBXyN+j
8WCzAAZOUM+/BH24A8IH7AEBoJ6AC9QOAvOE2ANeMHuIB4BwggD6qhqAthsE9pdZ4y8DN/D3nwPw
8fD9u9zf2X8UgsL+TAbb2cFd3cAwPyjMEXCAukAAbSUNHoQvghsAw+z/MIJdPOHYLADYGwx1Adu6
QP5qHQwoyeoCYIQY8Pd8nnYeUDeEJ48n1OWPGUF/lMFmYVGE2cvDXV0hMIQn9h/9KUA9IHYIuIcf
6O/DdYbBfWAB/yIHKMze4Y8x7L3cQIYwqLsXRFXhb4+9lxv2f2KOEAQgxMvLK8IvAkDcAYivnRPo
jxcY+LlB/hT5/giDYfZBAW5wN8AB7OIJCYI6QFw8IdgBnmBvCIDw8IIEBfxT+G/C5uMD7KF2CMAW
4giFYf+nOh9gD3H4izXBCA+oL2DOy8PLywfw/vH795OlBwRsD4e5+P3H/ucRg7S11WS1Fbn+Hvnf
opwc3BcIeCYgBDzjF+IF+Pj4BYHnQrxA0H/X0QFD/+7jH7mqMAc4IPpXu/Zebv9q2fvvHWD/+4Jw
AP9dSwuOgNpBAPb/LLoFrxCvnQWvEN//87r/mfL/t+V/VPm/Lvr/dqTk5eLyp87+l+H/o4NdoS5+
fzvgrm5eCIgHoAm3h3jA/tdqDPnr6mpC7KFerv+rqiLALlA7WZijCwR4xifIwyv4VxzqqQT1hdjr
QBF2Tn9tzV9xwz/umwsUBtGBe0L/+MIAz/h4ef9HM3CC2jnDIJ6egNBfEgRm/z/vVYTZwe3/uGz8
QsIA2MMD7IfNC/AB/EJCQAAfAIXZQ3z/XGYAxAODI+whDoCbFyIIcIB7YP9xsKLPARD4j9BfJAKA
bP9DogDI7t8kJAKA7OAucNi/I3/0C7L/B/IBIMh/kB8AOUD/oQoAIMd/o6AQAHLyc3OC/LOcEAD6
Z4IIAHL5B4oCINf/IB8vAPpHLh8fAIL/A/kBkNs/UBAAefwDhQCQ5z9QGAAh/oHPAZDXP8bgBUC+
/0A+AOT3J/7XOdh5eXhAYIg/LwwEZv8v/vMLCIH4QuywF+fhduIRL+oi2q9rZal9nu1M8AviDZzG
nmMabytSeu/qhslL/D4TKIhbkO2e/R73e/3pIX/pY7OzCRmvs9VaYHqcGNliQzuag+0Wd+DUU8mb
Q08NL/7v6l1dZjYCMHtHsuMWvSGfc5kZDnJu9187c1n7yhKsLdVXVU7HGGxNP3hwUSbi4zAoREQE
cFEiOmSzOqrlPsrOzHaqMnueykz8TKFV2v+d3j/KL7Q5sFTOjQzdSKc+OMBzUz/POpB6v9crTKVu
MwXMsGz3KlLcvmEPO2+PeMlu6zmmL80knq26PXWqcrodr6rn2KIyuI7an4Yqv/6G8WQdS/aDry3b
ppU4Z5dC6afYxVSDIn8BIbby3ooKZWJJJSycvgUspekfEXU8H4jUAzU+Dk8nWxl4pmbPpBdxj2YS
N+nonwV85Zu2wxqNC/dIgHLLddBuheiFI+XEY7z46mL9LWwS8dGwsP0zgQoOCwNB7K9bukOmMKNC
mkDhyaMxZVFoHmna2C2onQ3UOvQ0GXSI9PGIcvCz/U0ufJ7vbKDPeDTOWvlV3zx2b0zORzCutwaj
GxhV/+bds9ISinzH3aboIMRp24ZMACVratmU6cxFtk2MKnZ44HK+J9E01GHmvnWLZjTa8jGiXgLl
FYX/3ccf0MfMdy7ZJ8Zpj5G0hh/HHJJicSqCJvPc463suCNlKlMDXtWPCvcGH69Jx6rpd9WV99V7
XzC/rT+H1jMy/6rTfo2dn0H/wWhRN0n6EOnbHiY/0mlFpYBwuVchcunohE3Q0zqv4IK6dqRNuqqt
gneiF107nz8yjWtKlmI48Ng+PZ0ZqtiiCmnDU6abwW0+LPux/TJvllGdvoD66dLNh/J0AKyabqFV
z9m5d6Kbu/yTE5VEvE9ZkAqdkOQpJa8ZO/PE/pyJNxWn8WvP+EOdJw+LsGosJ5MHQ3GqIp5+MP1z
k8EvQigBwRia6f67KgM4XQYbBKkXL4pTpUPJ+25pNzLQrbDnNJyqqotvVRFkQYS0kGmMLRLWzl1u
WZ2mawK9i5MfWn4SQKio5sbW1O6evANhrK4vo53E65SltWAtp6pYFt5jm6Vohaqdda7oBPejX0sw
XPEk0K9Lk8bc0ixNpE9IuD5m9rVQgeNeo7j074xczOxCc/iBPG/1ro4SbBaUzStIfScXaDRFPVmb
Bp9TuLNgckp+bTpnSbn/QIDpn1ygJqAky3Io88Y5N+EL/frZF3tQKEqFZY7jWd/LMP7Ry8FiCYvb
GJa1FNikMXs4iZCXKtka65dV+wJVrEIH49p2RIVl2m9LtM4DAX76CxTb0/2yHDQjfJTGaf3gUO2L
supGvD3Wtzb3+07rJp7Ksoz1Wyy7BEkD42mM005HbRKPjQlGz58/rXZiyk1lok7HMJicjM1D4D7R
kEemc8ye/aSndy+QvxykaRdk03v6Lqnw/mW6clmNBchpGuZhOe9bL8qEnA0lfxGUNNXP/PvDdh8O
3mDXpX3ZlNGGZXVTWYFpqdQJZ8nrZMGJTJRRJxsxR2pdx4zCXTAGQmv93ZAoYytTEbIC5y/mwfL2
rKebfn4WeUCpqDZSoSJhgB/jm2xdWZ9z0K/pYmguFfd82qeMAqQmYWEhsQRp/VBCDyb+5gsk5Egs
ogSuM8ufnf0j3mSVUXWv1w4X+noejCQtcQ3xyUWCxya2N+JJgOXTa8FoRrRQoV1x2jOyrlbxFwtb
auEPXNcLrfBshrjd8hIOv2QeKwlizOmDD4+zVo5aLkZivw4iVHBWbtgLSW7op18w87z5nUQsv0w+
LPXl2t5jm6jbNM+/V+DtuAKVFSM9++23cr/kMunymuUbzwqkKE+FCApEtSCdEA2GOs319eydu11R
folR0fvmw6DVwT6d5VFVtgc9RaeVT4Oot3Q0baHIMAa3o4IgaFvXaxd3FbbCZKlYFP6bC/x3XZh1
S7Laky4pEfwVQE0hU8oNOq55G/Vohmc3PTwfFwvp060C4vR2H7ytThs6EZImFrRI2CEK0ly0dPjZ
hm6y6OJwWvDsRmkicAH4bArgyPKdUkTpDqQS1IL4H0QAfdL9jJ22sgOQVdqMvZEcLqY5eJioUM2/
vkXlLW+iV/Y2aejHKf3mZfhrkKkNBpsjhxDJSPm+mEVtmBPBB9O3HsodDKmtfoDoxzmPz07Idtl7
DeBGR//y6jU45eR7ZplXliI4+ZUf9HabFM91zht+GTs19CEtjHf4WyoRkqou5HX5L9fvfdeYCGSU
V6z1CZL7ntXfUbRfzVstwOp25h0pqCvmNaj+3qfjnAsmPxvs3XU5j4Aj5dSHiaWB67nx/MLoLTAo
TSlEjjo0AM+dup6TyckasmBy+9Fu4vD2pF63YknYiDS6Avsv3KRtSanukP1p15hQ5EX/PC2hu1dY
T6kKcfG/nHGPMvODGH8iEZCcOYSUfBDOo2fh0GMZsf0msviiLDdcGCOZ3vWYNLPRHXNUUfeZPD3e
uOc79ebZR4WXVaeNFpVhknoC5MOkN/ZSDKbLEwmHom2ar3Tr0CdSQUZz9vUb1ciY33q5HuR2V1BI
a34bU7KGq/46DluhUb1wy5a9KCF24mwtAz5zG6PVft4joj69tCYorCUydC415p9XZt2JRzgXczkZ
STCXWRs4lmgcLjR53T85t/MXlT62apjxu/vILl6Zx/9x5efB+dizhevg51Xk/ZaEFy/HDzyqSlh1
U7/ymndmTstqWuY4zJl8l27ytaSLg7Zep38/gRlK3Ry/zF9hGWm5Z5/uNpBOogxPH+chwQPzaTzh
afBpGoOCoyJXVaoqHvavmOTjn9k4SlKRY1Q7fOPANkipU1SOCrmNJodkqnopkoTDpZWoHXFmhNJ7
PEXLkxIb8BlCz6eUTT0+hzHP530Hjj+caWx391+TdIikOIkdvqCFYmUp7NjRRIs40/BcH7n8rOkl
CHQJJCJKwi2rB1Vcr2SIs6Wz8+tYSmBtwK5mPs5eY7tY9MnfLYSuixWkbrzOYgt8NuMZ5hdJOi+E
DNkaVSh5Sw8hulWMmRyvE1hKwy8qzqdJve7jzRdKhdF/Kgv1rpJK5GSwB/DQke/cmrj4UcaC148n
uzyGOcTVxFszpl+tq/E3Hnzxs+Th+425hcQGyX/Nxru7i2RRevBUswMhRpP40rF7bWBgT4nLNezA
463APFldGScJAmGiTu2lh6pBn4s2T3gYNlpa1C83K4i88yRhTMeVMLvPKQbisv3QZV5lKzrSsvpb
S6/MI6INk4VXnWr9eJBnqz3hh61In0F+unxALLcOqddPUZwnLIzYnQOZfE/H+xY+EZ1bhakbEqku
+7eWfljcdvi9Uee5S4bUxVaWrgT1UWblH7EtolSQMEkkuJhSmbjqQvWenQk7xZEySROMOqWg7p9l
3WBEWHp3GgqcDrvntfa+gTivmyXb0vH/DjlpdVV5EcMX5H7fVmGtw08W+A0s8qNoOPjV6Jhznc7G
pSD8d7H14W404Q+aTUnJHSLSeKyz9CLvzNmk6LN4wrOK4bXlcZFrQyHzVusZ/AOcnmmO/XMIuqTr
yMbNSJjY430L32w8oW0zCp5Cseg9edCokk006nxXFe+V3W7zNixfbyW8W/XylVuDH1RfesxfyB2S
Uq9v7376CDmHxj7i6WarGQknbBSmS8ERd0Ks/L9+HeaTtTebGU8yP3Rp6orpTLaPdVscdU/4FF+2
gc68ZV60SE48rltrpMpEFV2V+3zW+tKCHhGktGJvIo7ZmjQSe+QTN/j9eILlE1iz1O5zbsghKP+I
5petLV2IOhdpZia/+2qFgwORblhCBGGPDdoTRmzYHokGwVc4KDaKzSd+Fwez0orTmDj/LbiutCjr
VQy86ddt7AYtfupbApcjfkqOBlYI8Q1pONdCQ+RVp+NDQeYrnPvHiINOhjrHBrxQNofP0u71Pm0x
iK9Z6vlmc7eIqwtWtGmUXG4JJqR7jk3T99z+73/3+8dNdcWjYXwvrmHhY0gtRBrMbaqtjzJmdPOa
vAPeup6D9Tz4Ste2PO7uaoll5KPZcayym/EQTRuPela8xVFx4+qIp8cBc10EjnL1t4xzayVXxwoO
1wzra5KBccllul+xUbfE7n6lsHdhmcd+Di5VJor39KZ7EZI+kuJcoYPjSLMFOqGol0SfJzi7fGNt
aYhEl9vUk+p/QJ+Ca3DMzWxUNi1K9GL8aNlsrfE88ZGQ9jGEWGizc625BBExN6rrPlb9czH9i7Kz
3cTlxlFAYTZWYInep98o9xrIhDh75AOWJN7ysk57zAME7EJ5fqJSIoeyIiLwAwK+0etC/NryoZiY
PP0R7SFcWW9p6bi0t7lrbXMoW61JRs6eki7etquTBcgoIsOBdUOfLTqsWQJOvpTWS7Gy+tOoYpBm
XdTiG98YdejfQA1l44+NCri+Ic0kMw8pBCXjtl8oX9ztZUMkHTQCCQYArp8c63DCuGwrRZvL5vLm
/RVV7+Sn29RHz49DHYjU2+u5PNvyFPxz+T1/9aOVPjQdCHL17Id0dsbsiEnJwkLcbgxA84strCaP
CbPDRd/ylg0SuGUMwiPFfSpwHq7KZik/HNWW+w+1z5Ssk00e+EPmrjBRvzkn20n6D55cgLd/q9jM
2TCTv7sU7CO6IcCejFt/qrKobJUFYkNgGj8a30+P3O1OeNEIcdr2o2JQiN5pbQ6jxjewztYELTUz
ZXNirmDPP7+JktyNBgXeNMoXmfBnhc6OGpN1M/jIpv2gdh4aZjPQlJDRnw6LiK/ucNYRcaCsaJWS
rtg7q4ocA3YMkPhD1UGNG7td6l0WeFJrtPHMabOLw7FfF35+1NDXwhPqVZJc5YgZYGD6KoIMCRxe
GE+ZdfyYim6tVT2vi9JCfLEiRpVXml2ClpWybGEoe9eVgGYvIWNNPtLwrfoEe8MoQlwzd3VCyB/x
gKLpevyuETrw0KH26uvCR8tDH6hrz95njdGSvMsNu2LN5ulcZ6lkFdUqALXEk8a65qP17YHpCRKo
kGRF5YRFZRLTISbFMsT6KS5j5AbyvNAbLlHFqS9P+Q36MMZahr7LN5wkaLeaR9XPEVfPXOOdfkFy
/C0ZLXEis17PryE4YNWF2jlXAkOxihdZJxGI7D6peL95WSzh1+x7aL9zZ9Acncfue+/pAWi9aNm3
30i4Zvtmh/41MHqOwCTna3v6+AFEu+dr2LtOSWmlrXWGzIXn2HoPRUhWwes3DxhH7bcQXV2N54fH
xIttp3KA2zJSnuVUEUFS8nzntcrnH7chsiz7P1oEEa8F7Yh6pE0UwzZqveE/0j+7cM7kTgzEH+rB
92LoRH7H19ypEkJ/8zf0Lv1aq4uciREOVgInG+wy5KPL9rirDT+pWdrmhl1RJ7QX5P2kLA/c3R7Y
JL0w/qxKZkI483zSMLij6sK6B03vmG3I5hRlRbHSS2UgX+VYY2DS/hFtCTDoSIZDPsM/HZ16nIV8
suHah5vBeynQkZSDBPyZP08uJcV9zFA0uFnV8n+kSLcaH5JGM33lyCy14oFBGCZ7eC0X6a/fjAw9
WEmL9LsIRzPUxjLry1WWznZFna7UGDx63P36C91Fx7XmJVET+vFyuZsMjNsvpJdGcJ5s3LMEeUSs
31crszGbfD9c3QTMz3SDjZmA6oXwYW+6WwDSn0f3E9c1bI0V7X3dxJdqG1iKIr7mVlqFnflZOqhY
31uJa+H7qRgmo4G+MTFy0M09IlrQj3nKRkPLuhkmM6E+Mb45bylpA0IOcP3kz7/hytsGxk11UlTh
EDa3pYt/3Ep9Tuzck/K2cDv7Uf1Qn++04/22Gli00f+bcbdnwejbSXuFWjRME5Wbp1kW9svZyS86
QzgEfFdYYPdsLgBSJ2mIunbJTY2rHonFN1UhNyipdrCQ1JSjjOmy0HYqF9V0r+j9ZsvX5hTe4Yb6
J84iMvh3MTXDuJGXtdz47u9kh3tTVlAUDmNa9wW15Mq9ME+7t/wQBFP+lm6VrUMlbxmLEt7xSPeO
JU/XzIJWXFbMXb6xZu2SUD2N0QtONPaRYyg4T766hVkOiHCpCvmYWqp4E6/UdYgbMg6+pz8PX3+t
RUnRs4L2tPVE8DQzavIb5zf0vgvJALPsH4bCiXAuDZbxb5L3tddADmtbvfdwOJFXUIW7Z21Ydym3
7matUo20XqeyKzgLret6BbpOtZMj7Yfrd3doG+475WBIrvEm0ZhI96pQhiDKcOWZcDVkeX+x9ROX
Kln9QCrihMHYgdJn4KjZVVZrrD1UY+N8qxX13mzOdFpjWftXceGVn1qlbgoHTbcOMio/ErOEyWC7
E5s8ljZd7ZMpSvysI/rHejJZmDn6dJRYd1Lic+C40DnVkRj2HeZOd5iG9qoC20lO+Lje6kXr/hKN
7+sZKVvpsDrVymTtSEE47ur5prZa6clV4WX9w268R9rsjAJqjFjUoAidc+sDv3Q0hUH6kyPuG91i
010s1dbb/Yh6OcV9NLVOVo92M1ssspFabf0B8dlgdyVRuyGm6+IKO7s0yk/z6Z32GoOFtrwD70a7
iOIyVp36zb6e1OmFk6iVDAJSnLPK5ThKiYuUWwHi8mwQF1U7E1eAiDtrIVo4fz6ddTNf0TXtDEb5
JJ5HT3nrcVw2ClJXHoE02F+4z59uTBuIrS6e9hGjbBqoxpNC9X3TcMvwmzQ/YRAXD0dzXPYifVa8
5mphMDYI3/ZxSwCvMx/Ev5z4ypODw4q4dOXJJfSy7N1qXBYfqV7/wgXAPknR/26gepAmMallj95R
kH66TtAF1NNvoofKNRWo6mAbEZDnNIGrmPcqzFIo3BzGnRkoYklXI5/LTd4uN4dsNMzIqRVWZDbb
PDic5vi2ZpXTpkH6bvkNRnaRTlSsPI58RFvO6RmHxpyiwhJh78qXYyp9/QkkOBVC2zYGq9wiA8NA
ErR4e34b6jk03X/R300fd9mEqJCWL67XcVAiL7nMGMVa4QH/fMcuz7Cwhqxg23OBSTOWia5Y5ku1
+ILlZ8u06c/+3mN14/tkvtPM+NV3u3kgU2eETGcuj2iI0OlvH4nPugASzjM7fdSQwIf0sCB+XKQa
L0PrxDG70r7PVZRMLBwYKj1n4pViB8fyrirplE2NAgptlfnUva4pj/iT7LdoswoBfUsfKV9SWE0j
beeEEEnhq8wcKHXa9S1pKZDKn6zOo0Dp9z1Tpk+2IppSKepeoUzWmD0VkRV++1bdTNOJ+p2r4pWy
m0nObO7lVq61eBvVthctOQhhzdqF015XbbEVlpabLZX12EmRmfLgUO5DbWspFWjzeEeTMTas5Lmr
fNWksDSbHbDtP5VL1i7hljhHLXYSIkQ+DbezonJ73UG/Ene52Uj6Qgv3wsZ204328cnAi9jwXwLG
37v1yJ/cSp0/KObi20Y64A9bcATYtDUaOJAi938LuXzJ7vIkByMyZzIGES5HeiRdfzAo1/VFIq8I
48657ebmDROJZnoJ3bKEJyDtmT6xieB/LW7ZkqrKZzltPRS8QUZQQPkMpaF6XNpi4g3zTp5g/GBL
pffwlhH12nWSsMhCePoviOozLyUZjUBS6pr29In3UoW2y73Zt6X4ImlRuceN+6ovD5MtH/hyn6K+
JzrodjNuJYq/k5w4bquE+8e6zhhOMF0F/MZbiPL4SbXVa5uPrvk99It4+rMQLwW/ceE0Sg5vMtmM
n7mKHPs0qA0ZesjrRHMKl/0oDB+gAQSnhd8yvsrsTeiLobF3Exd0xerqB988S8A5QyhzWQQ04iAj
e9g9lkSoFU1W7uQsvZ1pY6HPJGff4GY0g3wkiZTI66IxqEsUSuqpNZuUVErlUk0sFGWxyzxWf0L1
1YOVrMFn7EFbbeBm5CKK6Ms9GROHp4oUH/dSj0uuQ4VqweqqDdoHraTs0GcD59wan/XXFYP3bK+J
Z+/0gD0XKyo8/rC5KjXVLyMq3HJC3nAKL6v1wKkcSJZ+buI4q1Gi73tqFYI9SsjGOOWnTS7PPe9o
ITntQYyV7zh3L9ixaHFtXk3RpLch9yuhFRkVI8c790yTvtt4aMR8RjIy3+GDT9rJgVy0emT2PQfH
XSbhjdGvZI6vsbjknf23z7gKf7+JQFn9XT4R8NVZUo1ZS2xQcS60JeZaXKIKyfRdMW+GXecngq1n
bjB0a0Mz2Rs13NjOXMHqaHwRE96agi+ILSGftCKPOKVPI0KLsvu8XuDcUba5jYxsGu80odsoExs5
rZKL8YxeWo5wArdEo1L+gOYbi54dqOoZrY7PfEKfHVuPre/hkjyjY7MgXca9NezpVEGNna1faS2z
F4m8wYq1HXscDYQ7xKQ59gXAHKA6IYuF+YRzfF9Wzr4bmsbA5E5epc6kIDI+ohbMIkdlbxcyfhOB
MClyQaVoxfoMi4YVFtHi+IuJuLZQV2d/b25RuzIP1RDgYfZntiUbxNAMPvrAwNhQLqyw3twyEkiW
4/dReUjnlZuEk/rI100VybAOisIX0Semg+Imih5dO7uFrQSfgfd5JRMx7Z8QLh1RC7WHdF7TFZNv
a4r90gBTX/QpFVnnApoe1I5NZvYDIvzzlseZPc5j5U+9Mt0aowd9ke2084qwXpvT7UvT7fpqieV1
35UVoQ/Gor41S9F4n2zJew/IG1ol55l+CpnyEc0waKRF8GOS9N2kl67I2fRVEb7Kao4kSxfcHAsd
P9DKRn99DsPubz/BZ6e4d/rGywIudxsSJYd9CBAbs1+uPrsfFwvtrkie7t/ZJ97Ufqt5sktFL0Zm
kxOwRddua0vF1b0vcolZQ7glwmZAOdPI5fnQ2BU0MHURpT7sQTpQ87p6/zAiawf065tZhHUMGUaO
ynDDaPl9wG9n5HMDqYp04Rc6vvgOntST8jI6Mlyr9Xkvki9DetCN122Jh1UpDaZN4Eulu7nrnSJj
MjKS5JOJ39CJf5ftZeKug0i3rYn1N2h1O/DvTi0xsDdL1zlHsGMjG86hDGY/MtNT4uRjfBMi6dGq
YmEFGhU1BWIhFpWQ7V5CDfy4F/yxpq4UM+D12rKToaVkcGWHhQOV8qsSk6hu60BkdJkGaMI3Tef6
bPCQ7VKHg9ozNnOKDkb6n5XyCgshTEQnzBYiv3I7XYKWubB+S1psfCLB0OYFi93nO+GtvRa5pe1c
rtor1ujHED1dboi1WX/CkblQlDPUFbIDY51tLVpxtC14f11c11Fu9zMAd8HlNCasUBnbXTcucxYR
ISWW/hMatVLptwy80ZLNzVw+Z578GIpkvD0uRzEUX73RPpaHNzhpUVUxpnyZqg/LhyoxLZ2UhMs2
c3DW4oZnTuOm8xBwPiQp4BVb3pQXyLRXNffWJTn1C5QHr+VxNr/rT4HTESr1y198XLU1ch16np+I
qAuHUF7JVj30sA/x9S6EUPMREmbIeZOguJ3kWurf/WRNPhnvebvmJTujmZddNyBu1mjL3a4nez9c
lpP6mutAOz+6vw08MHzPwuFO+Yajvp8zcisXOsdq7rtGF+t0L/B7KBF6cY16BzRmx769SPN5BCTQ
xQ4RNIb8aGsXBRQOnvORqQ3svaHr+re2n9xGlc2l+uy3vMs47+uHmqab2JcKe3fu+EbbEDDPxI2S
JZzHDr3Swffq57CziXfCJPV0H7TNHuve4pWxHgaI0tSJLlaqIRmYoLK1honXIk8fd+7dFrHFZynQ
rO939mtMaYI3PwmHoy1SZ4carW8zYZG4s4cwDZC5vP9ljuo/GDzxckX7A+qVkNJABN+bUc+rL7QC
8NtD1QW1+ZMhrOjnpYmNuqYwocaxwZzdVIf2ira4TrM+4bF5FZufptuykm+feXXhr/o+5bKSS9vG
+vJDb4vHYzXC7KcjPtKzuTJkGykKMycc0g6JkWzCEnN+vJ98jLBb/REHFMxoqvOf0OkPmq/MPyQQ
hqkgpCH9jReK1oemL9/EuIAGoVb6uQeLFJaL8tvUvr8eDLXa+3al4zO2yNuSHfcOTHhptOC33GOP
hSCL41cB3GcNxId8MFlLS9+iFSvKMmy8vec9sEZZM2wSvkdCzLhLW9AeUhXPIc/MSZ/qiSKrdPBW
M++iaJXFZYVLqAq/z9oDJ6tVl09VFeNjeEfUhb8YIYKEVy0/lP/axQj302vnwQVkVT9S8QqCxOZF
RRT5zzlE9rkuGcSq+2juC0+XMrlStDzVTRCrGCzjlWLyZ/lElynKJlCJ3EzD9r4jIaQfGb8P0SiD
f5JTCPsza9hgTvT2a1OZ8MuLKOpVhIVdYW5GsAIiMp4pUbMxJOamCyI8VuYCBiWtdPWNMfZd5L2+
i6WAR3dcJaOgZQfWllPvlIeJc0IL4YlAs92qUqIsqba7D0+reIUkxPLSdV1rz9C14aV2nOrjGvJB
0HFWcMoryvkQY7ge0Eykr9QtQhuFFZiZxpJdrLmRnYweI89py2PRyn7pQtvafMZe2Rb1nQFJvlsW
jtLjlpmXYiTDI0oO3gAQ7vUIULBom4zmPZ3lznvy6I973Oa/LjIg9zyVTI0dlOlEYwuOv4mobqnt
rQIFWK6RjkVeOI6it1+7NUWtmu1hE9jmQyStIh19hLuMz5lebC1RhsYzgGHYh8rvoKjhuENaTw5M
VIxDBS7MEIOXAQ3eM/49TBPrDNeiFxyOEHfVWjp6M+gtPR2Ncmy7SVT/aTzVtqskA08xyCi0S7OJ
p0/qvk5YCqNQuCROc6+YtGN0rOrRCbWeDs118c3rLoepsnK59vxpu5J8bJ5jiG4/lnUP+mvK9P5v
3bObPcaLZbzXrrtCrmXxyruRjeI4XB/xxXeUc9+RkDy+XRId1B5/ysuhSmwljILci/2idce/Ulzb
ke7kayeQxl1NtDN13UCpdGnCcmhRoesdmcBWdcCHZdWXEMwbVVevmD1ldZQvc5IpfXy+Rc57xjOJ
tGVpiSPSxeWCcjgaUD4yQ0fPtBtYD6bH+83bqGeCQk/RgKoU/byBXuNHYnEEtuFNNiY6OSmZpS1W
RJpYcSGB86OjGbQ7jJxIwB2b24pynbMUYq5cfyz2EDBttG4T3X7rg3rIFu2/w5DmXgPF2rojbF2h
DrooLk1MM+vejhIf9Dt7IDrO9jjbF3Zg59uk+uC9DqqrX/yUHEKHaLaF+z+Kvdz8BKCGntCZsVWm
lOXwdb98/g2zWZs159V8PcUV1mpVvqmpDaFFVMXXt990RjY3Zp09ua8i770r9gpPHBWrSDfGrToP
Z80781avwB2TVn07Isi0Aw0yO1+5B7J4dHt++uA0ybzif5hCNlqjuMrkM/lev2Jkls3/YD5q7XvS
0OQ5ZnHE6v2w/qaTBn2/Gj6YD7iIpqp9Sd7NKIV+MTpofJ6bt8U6vj9aSXZcRDiPtmdPTFT+NrcN
CWd//jVZdtnuxnIfuZOhuOljSvPMUHZBGdpSbBEmdmSGNq2rABnD98UtHMi3DZnvptVDBjSNTzqx
6SxxHuhC2H4YaPBd6IAJV7yyn+H9QiqOZ5auSOoQyVzllwM0bPf6yaSaEJbHtR4C49QxuWZlSKG6
oB5uD9Fx7/s2VDVjLekvhBTfs76dk18AbOekZ1PfD1pQsKYFvTjc04MY8O9VzBmsJKhovevHWFq2
rDLxMK1vLh72QqNeTOEWSROsSiVdJWxmnd00Edgs/JL8ETSkMmY89JknbRzrgSkrL0Znmht6upjg
epVTVrXySSvecGAktURgk52PCuu55pTvFvaxdWbSrg7FHWrBq9pAc4N5T5MTIdRACRFSC3Cnf0hO
FYNs9en7Mc9Qkuoh1AS7W4dkY0yA8UyGiAg531Sj1/9k/XFRWm4ssCyOOL/13MS8jWaKwCv6ptK3
iKSHybVVf0mLyc0ihBg21NFiyJVLdfTToAMmxLutzfDTmJjtfJDWrLtVsWwURMvKrY5O2XuDc4e8
F7aznu3f26lBp4Cm4mDTZ4JWs9XfYGVPzl6o8652w2Ot22aiUfE21wtX9stn6KXBp1MBDT/FNeYy
qeCZRQ5z4iG08jns7d2n9l12uJeTCSempl9dfA29PhbwaZFr18ZF3jJiIewWDshUD2u0RCmVgKql
lAQtnvBvXi1vMikFU7BEmv3yKJXBP36YcyisMdmX30tMUKFa3jJjW0I/ol7fhddbe1+KSzAraiOh
BUUucZAQ2hGbPmayPM+dQ0R1Hz4P1FKqFLFhfN2THzxInvuk+/y4zoPrnDaXb3YLYBYeNRr7luzL
s6aLRMa5vEmbWzhqynD3kvWz26SAmsvgrxADfLoHNSEjW1TK7DmT5UDLrOWmnObj7z/I2Vszx6Bg
fEKzuw3XGl1jmeH3Vto7kJrOCXZ+LcWvX+4+25FeMOfFhTyhEXvuKPB96MIzqd2+xdtQOFE5m00z
ubyiDuz0Qkp1JJuGIMjGnY5qgODlhwkzHJItUvSpdzafB0zamT6nkAuXFOlv+8na1NZoS8Ct7bjm
jTbFnoWMWRIn6u/v+unGYS5bkE5ECx/3RnFZfFhX910Gy2yaSoT5lmxJI2CuH4xon2K5UvCNVT1J
WjHebxEI3wGngUKPG8wk66RyVWUi3MDBzRlJMaH6e92k0rVv4M892FEdlCowMTtylCcWvnNUsyhG
7hASKZLnPg3b0TlsRuH2dYdqZZxxIS7peQpffyksWEBNCmANdKGO4ehBoezqrewXe6MfIH+D8on8
LRZw/FE0043I5PjlviR8RAMf2jy9hOTOsbuWikWc8kJ4S4y0vLpG9XDYG85ekOZ3dwpR7SLN0W6T
0gPgeToIWj0rxTFzPAyFiyabzQe6DtqsMlhCfdnKk+o19wS1me4ts48o8xmd5FAxbOf2wR0X4oJn
D7bp5/ENHipVfricJdxOaytjY8C98qLRlgtZ2ZOmTf6fFkweuVvPQiqrIg+n1DBVpnKRwInqjooe
4pkbJs6p97yQ+6LzF05BallHD4Ihwko2c7EHZY12t29JDZ5kgihtLns6/ZHy1UWoByZrijvQp7zh
p6tiCvJ+n/OrjVu+YsCwTYUJcx4GqHeQS8PDSqtOhY/Ntxku18M4ARjzKIFIiVv8ATreQ9xR0BGq
1ZUel5r7B8nx+cV72ULIS9zMXd3EH1u70kOdGl405MvCM/SBy7UqOFSRKF7wkSykGOw3AumCFgj+
xwbJbY4dGROnmUS2dqcX91QK7CMzLXHdNWfXyuJjMYT4P45az+ix6d2gpU/CR/aM0um5XzYctZ8k
5EdTmK3vss7WrVgER0C6kuWJOnwpevnNccR9pPpcyVHNRbAJBzlw5Uu/a1PPrkDF2LXnzXbESeiG
Z7Y3i6qxdykPmwRyUFJ360ejXv5Y8cmLP5x42mF5WHvR2isf2vX44/2oA9FaXEORroTC7UxX60/H
xf70F64ivg51De8pqImNMQyeXbrTOJpuLbW0Y73m2batOaldeB77a2nzQucr5LJW8Z2gX8bvjJVn
CIPFFYrTSO2fXsQoCtJZjwXqZbQCRAzITJLPu0Lnv41MJHQzVRueVJUroO3ES0GzRDijWARtSAE5
ArYceNl757iCI4LUDVvMFyiQrzu3+8rxtoLvLo1rky6OD4BW7rYBucTYFI7CTFRbChODe/PoebYT
tpPyHXn08mtMUj1V0xQKqHnzO5PaNvGQdG9tPuj1QpzWt5i5+5EQmOB46741Fv08lf/WXpa1fUKY
x3tp63KpqeAKKuG6pySQ/qW0N7O1AYr0Gt08KSmr61waVN8vybW0bT6saTddv6JFL8vncSsGWNIs
qRab42eIwVMU2o22tGn06oelGUa6KAHey0mxsH1QUNS5F+dsXAhuCa3shpTjHREOqqcjzVoWtFde
js+6Z5iraiccajXGV/yu4b4AUScdnNn0WIp+5vKpi+rUZgGzzDUrRD1Ov0zwbJtocm21AxNNWd/E
3PehnuTy0l6E5Ej2Jho9iwkTTfBkA3AI95YGlb5dRS6kvi047sVZ5mzHnAyVlnrJuyUKfkhOPtSJ
GfzKbrC4z+BjTZLgpo5rNBqNQUTqkxBX2Y3LdW3J1DMnGJVXw0P5VuoXS3dVdyWtc/TgHVYpRdK8
FKGc5/unCnD+LSsv1KDZ2J+nBgRKP/Co0T2KdWYMs3koBOTfHZRLqjebDsuNnmj1UivQ31VC6Vg4
fw8YRGEl4ngwcZjCUsSYlOjZ48LHv6KUMGegj5E85V67goQPSPmMliUZ4b9Wq4pZsVho+oxij9dC
480tvDVzl/Nu7T1yrEXFcnYT+nmmrVl+y8eB3KkPe68KaqbqLNGJanDkkdft0VZUOBOUMFGeG2g0
MEz5nSGoObq2pCsJ3HyrxtgP30G3ZQVDTze1Pbh5p+wrCVQ+aGBG3Nhg1d16uXX6rVmUOf9ixliZ
b2euao7jfPYq9ssiIeYVhNNlbfm7XqgyUHj8hlWo4lZVcepY+PTot4TMi3PCgi/vqvX5SN7ijcny
DVCfjes5DUdxanlzVbltK6641dOi+CzYuRN/0lgQpTFdhKoAs3TJXMhHtYyecz8m2Ji2njgvKWa8
P68yOsm/BvFIlvPZaT3x5/K79dJB4eaqULW63Wgp2L9R6y/tu69IlaqTFFziCe2b9I59fiXobGDX
qrzqeBrOTNZGs7Kam+19u2vTQYrjJFbrkaZhwRUy5+YbWaJzMPE6VdBO5AO+HNUbx4CPPjJsPxf+
D+bXQloKZW5kc3RyZWFtCmVuZG9iagoxMTQgMCBvYmoKPDwKL0xlbmd0aDEgMjMwNQovTGVuZ3Ro
MiAxNTIwOAovTGVuZ3RoMyAwCi9MZW5ndGggMTY2MjkgICAgIAovRmlsdGVyIC9GbGF0ZURlY29k
ZQo+PgpzdHJlYW0KeJyN9WVUXOnWBQpjwSUQJAQr3Cncgrs7waWAAooAhTsEd4K7Eyy4u7tLcIK7
BQuud/TpPt193u8b496x/+y55lzrWfbsTU2uos4sagY1AUtBbZ2Y2VhY+QHiihoabKwAVlYOFlZW
dlRqag2IkzX4v3ZU6k9gB0cI1Jb/XwpxBzDICQK1lQA5gfkBilBbgJyzNYCNA8DGzc/Gw8/KCmBn
ZeX7rxDqwA+QALlAzACKLAA5qC3YEZVaHGrn7gCxsHTiB/z9CqAzpQew8fHxMP3HHSBqA3aAmIJs
AYogJ0uwDcgJYgqyBqhDTSFgJ/f/CUEnYOnkZMcPBLq6urKAbBxZoA4WQvRMAFeIkyVADewIdnAB
mwH+KBmgBLIB/1UaCyo1QMMS4vgnoQ41d3IFOYABEEeANcQUbOsINgM425qBHQBOlmCAuqwCQNkO
bPunWOFPARPgr+YA2FjY/g73l/cfgSC2/3EGmZpCbexAtu4QWwuAOcQaDFCWUmBxcnNiAoBszf4Q
gqwdoajUAJALCGINMrEG/5k6CCAlqgoAOfED/qrP0dQBYufkyOIIsf6jRuAfYVCpqSVtzcShNjZg
WydH1D/yk4A4gE2doA7uwL+G+9kW6mrr+V9kDrE1M/+jDDNnO6CmLcTeGSwr8ZfGzNkO9R+bBdgJ
wMXKysrLwQ4A2wPAbqaWwD8O0HC3A/+HZPvDDLI18/a0g9oBzEHWjmBviDnY2hGM6ukIcgEDnByc
wd6e/yb+F6GysQHMIKZOABOwBcQW9Z/obAAzsPmfWBHk5ABxA+ixsrCysgFY/3j+fjNwAIPMoLbW
7v/I/zNioIyShqikNuNfJf9NiolB3QCezJwAZnYODgAXBw+Am48b4P2/UVRAkL+y+JenrK05FMD3
Z7Jmznb/Tdjlrw2g++t60AP+N5YS1AliCgbQ/bPm+qxcrKb6rFxs/5+X/T8u//92/I8o/69r/n8z
knK2tv4PT/en4P+HB9lArN3/UkBt7JydwA4ARagZ2MH2/0q1wH9eXEWwGcTZ5v+ysk4ga4ipqK2F
9d+NhDhKQdzAZioQJ1PL/+zGn2bNP+6ZNcQWrAJ1hPzxZQEws7Gy/h9OwxJi+tkW7OgI4PqTAtua
/Z8TJW1NoWZ/XDJ2Lm4AyMEB5I7KCmADsHNxATzZABBbM7Dbf5YYAGSxhTqZgc0Bds5O3gBzqAPq
HyPl4QAAZf8w/Yl4AUClvxEvJwCo8Tfi4wEAQX8jDl4AEGRjB3Zw/OM6/9fKyQ4AghydwA4Qx8//
OPICgCZ/IzZ2DgDQxAFkCrYGmzv9y8z1l/nPjfnbme1P82ew0//o+Tj+tv8fBz4A0PRvxMULAJpC
raG2/6TI+YfFxuafUv5oO9DsX5ANAAT/E4EbAAT/zwncf/D2ziDrf7mwA4Dm/7hwAIDmEJd/xfiD
hjo7/MuBAwC0+CciOwBo8cd/A/xvCScAaPlP2lwAoKW7nSXY9l8KLgAQ8i/IDQBa/QvyAoD/pMjN
CgBa/7FI//B8AKDNP5CNFQD8JzYXDwBoC7EF/4tnAwCh/6TDBwBC/4dmBwDt/qFZAUA7kAPY9n9m
xsn2l/V/J8bJDQDagR0g0H9mwMEJANo7Q53AZib/6jIbJwD4rwaxcQGA/9TDxQcAOoJtIP87ba4/
NGCXf3WNixMAdIS4/XM6DwDoaA1ytPxXYG4A8J/0uNgAQCdLB/C/xskKADq5Qv/lwAMAOv+zgVwA
4H/+oo6mUId/t4gXAHT5F+QDAF3/tf+sAKDbvyAbAOj+T5K8AKAH2OHPI//n/ps6OziAbZ3+84kG
25r9F//njwsGu4FNUZfmoaYfA61qAtvuqkSJXJl3JwRnqHe1UuiZPZcc2p0fMJES6Ssz/NcdbkQT
h3vermxL0l2LLJM9ex431yGFtMSrtj56PRnFqk3vtqIuTuEPTOYfi9b2k6AQM2uI7Hk923t98vsM
3wzbKUedY+/Mi6mS9+7OtU/arba/5OdY8Pyu6l4ltzzaU8kP5ijNSH2/olnqXJPMufcUiE7MJMgM
OOduWLPXNzM42ZOvZHKxjKjeJ1EcBZ66G+xf7+c8Vss02B27CKkIdd+TwF/jjE3TeIodJMkRLHgW
F0auCy5ksdKzwKyP9ZN5jXaS/+LXU5DFIWC1dljikx6j8m6tBfpp96KjZOyqG9sx1NgdYy68ZzR3
dZWSzlNuKuwz3BsKQbkNdWA0U3SJRlJy99zbXEK41jm+lj/+VTOp5zGiZ76FgrqFt9IotirxHGLv
jauISHy1x9vllW+V/p2q2rPXavLEbsZtz029faBU8tQZExUpPzEV6+27/LQGHurh2Ovqd5z6KJV8
rSYwKPrd9HrDhMtSmj9Z7C/2Xjh/5Y7ppvDKP3q4uhLXu1snTBbKcpngNJJZmcb+0sUrg8NMDWeK
58nOnx8uka/mv6MUkftpViEy3Sp1AjuuGLJ/221Ukvtohk1pwVjzcCzYeCB0HI4wq5sZAvrS1Jis
RRyudI0bLsOlA1zeFtCtGcg/yM8N6Y+HxSeSHC/QG52gyYmSRevhPJi7vcGI3EFMwnpvaffZvDFU
Sa88gxpf7Gl45LJSqkfYQi1V/nutQdh4jID6jIp/U9crVnRZgeB1yZbeGHFv/JJBFaVPypjuTLfu
ovuI21BlZE1I9aCfFo2EXuzMIUw6DU79bsvcRwo+4tYgFe97747Y9c7eadD1vBWL0fNEVM7yqAxZ
/artXpTh0d2Aa/TwjGLjDIObTdMc/p5ORTLumNDJCgaLw+67shg7c09WiS4vbpHS/ezDzI8GR8DK
DkuvySmWuyI1UYS14Sr5WXibDOsbwxUarRVfgojVQU/SxrzzZxupvg+rZ6UkmXXJnUTLc6nDHDFS
8j6y+MEFPCL4GjyiK4qPyiqY4Swfv67GRMqMMEKCtauzPnrXxN1l4e5Z9etoX0suOJeStX3jGmy1
+xkjJttWuJkbrg7Af/qew2On2h7FyWoKK5M6O8d57qx3guGq096blJa1m8nepuc09WN4JGn5W2Rd
hrDlVWp4k0nG5gvDEgkclS+q2UCBcTgVQCUIPSg9jN/vLYV/zsV3+q/fvTSnzwa+H0eaEyDel76T
qM93uns7a5bcU5QjWJaewTX+u+0LI1FD/qkVTzf1MUTkNRl/690QNj0h7HToqAYQZso+9IPmypTU
YfVtTDNbgpPkpP+PxtU8EYzpPF8CNsLebzVShmrCScyZiZmXPYX2+IFIhhnkj5FwDGwWrrf77F25
nMDCnOwmjk6R0i39Kh6PnyCPo2k24kP6sEaWjdTz334Rkm7+OrQtQyW3R1yhUqZfBG2tOti32ucQ
501xD2Jc2dCjnu7GDjh8TbJlDUIywrvdm2r4v47tYJjP535fOYqI3z26KHwsNrc4oe60y30UgFyQ
KZPS0Xp+j56rGcV0LX1R31MHp9PySrxejE4TbdWyT0507XmT3kqV+4rNFUNnolpif70zRAjoTj7V
LcxGRDteeqVNjCkPxoRV9pyWSgnrBW2maw35Pd5NfuRazchXsRGdHWLM+bQw4rE68i0u3RSfLOS9
MYehBiZqtooLKs2Hqqrt7qOyWINbNbX0EvECcQTDSq5nPsor0V+bjMKDYsdU+yuD9EcicTX8RXRa
tHtM8CEwL2L90iXohMwOcWMaucGJc/g6EF8ErEAxps+Z8MX7NG+/TJRKUqQ7X7Qu6Ww8fDc+E8Ke
NjQmhamjSyyfoUW0SX0gQZOnxZLfmsGgFcrGzpDcUFFi4lc88AxX55BmV8MU4dbP3hBmPp8zxNeO
ovX9eXD9RQqfxd4ypffNrQ5R9uWjtT+opNh1bEmpQtNuvMi4vPxqK02RrxpxxwhXzuKHiSv5VjL6
WJtjn9+Ixo8EmHKJLngT/2F+LXtygy+QgVzX1njj14P87whIkbS7PcYbloaIPegaGtGypbYyYWDr
nYY87PbxuMuvt705xjirN/Pbfim+NwurANpiUrvQdUw6QYRSHbbmvZvSsBzNzumyYuCJ8sMbDVRq
Y5oTYs9Auvfy/fws4ieQcXm+vE43mX7mdy5bkk+znG5GXKShu9E5Sy1P4Wl9TFdZRWZb1ly0JqMm
q/ZMSTI3LADl+KoD3v5NFCUl21vdPunLN0j2zuOkjYPV84oJcB1X3RaPh7NmQHg4FiToLx+GvvYk
nM2WDqyRTjCu3d1oPSrbaY03FMtXHuaELunMU/TDlKPiNomxMAAbPat+1JvwrRfOZQYODE6x4Y/l
IrrHZbZOl2xFWO2nRVGrGPJPCL8DPnMJHg3QpOvknkBIl1x/B496ERS/zwx2Ea+MUAF7bEshVK9F
HRpLBWzJISmTd5W+eAzkDvZ+k2Sh5/0mmuFkzJg8AT1aOkpArijH8A3wwDXeI/d6+VIOYqgYN9vX
RItBQKJncZIltrSPXXgJJWVghc+xP/VtqfatFNoPVMIb1ETp5xggG4re4MHq8+VTdmrQ4/CKOudy
YIX/3Ww3sPjyuMiLtJ6olUJsL6HQ39721XPll3ENbvyQmWsCkddCIIa03KsHsDHjQIa2Q5cqMGwJ
JnVRcSKfNyp/42v0gO7bsdCvsPnIAjzrnpUKdmvYvbef6Knf4WwefB5Z4QgIPEnVgOY/idt6cwo1
6r46DFV5tjoQdGvqvvJJlmTPz0pXbDrHcvItC20YQwntO8aB/vmbPoeYbltJ0epBXhnmfGQLZcJd
2hcszkNibubSJpJPLK5aHx+DUqFMXSgEBWIKnz/L13si8ZkjW1g8McFaH3qV0rQR+f54j6k4BGL4
Nkt1E0bS6UK50iB0wqN5Ynr4Zby3AakUhrYRDjfEtkkJayp1gi0ybb9Qa22g9AWpeOn10wr69xQl
Z0RGvtdlLE4e7Ah3aSy66Z6X9XWMYj+Mnq5winKPkS1MqHKPUYJXmanuC7GHWP5egEijrq8o2WrH
/YYI6BvYLWmXyEQ4Zl+IYgIvEfZ1GEmnK+jsNGOeIOxQo9BCrM4a4d1SFJ/ms9SRXKUwBY6enUEP
2vKbEbsJy8jF7pyJrrjii2BNOF7fybl4j9z9tQ6FYOFa3we4eIInflL5iI8V1w+5Wq/UY9oJgdcI
VIsh/AQmw3x223VShmZpYhOk83JqdLDceswaDL84yTOipt11YIxpFeuf6eDRypErf40ovitVEaUc
MI/11aAwJ46kQBAG3ya/aBfRxKl19EkOHqMZFLMr+B4F98FwI6BfCFvS89KM4QHFQG/NA26S4skJ
WlhD68+d3jYqCvRHwGuzwnq0s61TcVPhNXo/+mkJrLNZ7UK2eLj3n6k6OKvBsFV1tYD97wq7TC4T
uRrOqgfQZv7VS8ELb5J6ybrRYrpt9ZHRcVaW+M7Kr2xr9Ghmj/gRAZS/R2QRxz+2+qoYEOC0D9df
NOOrwXa+JD4dJLbIwjMlUAwJp2fG+91sm4hlT04MPS3weq38lJ7MWls90//YIoOOajuwiWjKHrpe
6UamPYGIm8NGLsy/gbeJ3Zy0+xbfiZK0dwNfmLp5+jbRIjBcvROs55GWDR6HCfIGjKxb0ic/SJyg
w1sxPwQhB/adKAdyu1x7OOfHiJgEoET0o0Dc6kwHVo0dfuLQOHTtE2Ngyp4cIeJEE0YvNxsJYSP7
YbCpH6mbvbmCeb+rQ3UaZEyf31N+Pd33foH/TTj+aWcitgHanRqOwZSUbIXGZ7fzdCsLkyyZeDNk
Fjp+1O6ts9IMYpbIKbhk6nw7+86SKyH8L2VChocebkzLnoZx46YGDulb3NCKxuD65uvcobUyJ5l4
jRXx58kFQKLyxyn7LT8D3nsqXPemRrFQqIIDhq+noHlXQxkVLUDqrt+b4TqA+p4hAhPnoeTBycwx
Dz9dHFbJw7ShNa3o0Z9L2mf8y2JPUxYYcMQeQTJrVkqMAxu+bWDi6EHbOcS/OwnSEq0rSRXifM+I
+gxXyOW8LihHqnH5UB4vE4oHy1uss9mIb9v0bmrS86ma2Q+r7e4BOcvp9Ye3ytNJglMfXl6RnFtt
Iu/C0Iwa8c9NFgJ9zxFj59VXPbxQIrL6oivqw2aO7tDopyCeHv05B1v/YCU5svqjl4jJy9TnHKny
z2U1aLVvLjuUrTqT2z9UrC/vMdYhaYE/zE05flec+5QcQV9yl5L0u3sDqUTuQufTxWg6b91JF1v3
M6IZpZwCG77wO8W6IeF3FP3pJkVjqt2YxGcdzeamjVMz2Q517ZVoAhbWPlFnybFcOpXyk4J+6rsX
BsdmqCKh+b5GSFxzMo4b/o/XK3gDR8DLrZaIsc+fiFed9yx2viQ850bMn771puW0TpxK2BW5r+w0
UpZdb+YhTJ8EesYYIni4M5s5jL93wzAnym0fI3vA4ZFbn56/uAtcmOm6rVPP/L5Nm/2ByMOTsPnY
pL5gxvSzigmyz4AfzCIqa251T+9d4bgH0bbsTDl5IIZGQFOEWgnVDFMBqX/xCTDnQAwm/2TLj0Yy
BZG3uzZ18EkRxVXzNuOEM3lxuY8pYwNSGKJjvN7MAF400GGMsr9SjM1naMz0aSHq8lhpEVhz99Pc
E58SCU7W+RZMlC1h0DK6buOcGTzB/eitfEgoyaJhUq+LPdfsk4ZtxBH+Ka/ulDAHsY6IU+2QIpoE
P79mqv7ofBMTE+M7NFgu+atWN00nXrOXli7dfeDRlIwCyrDIXsgEj5ly77e9kUB7rYhgUOwlYeVK
OUEWvyMBNZILKQOFosAYImmK++HClhWfkqz+m5QBrijLuVUsZv348PsdBVKTWbxupkoLZVtaXrzh
p6GS8gpygg+Ss8G0H0legtjwASHbwRkjX2gJf4N0BwDW+8TFM2U3PPcUuRMmvho/RJIoVIkSXO0m
rNLx4ucstdluaz/SXhdPvakzLLTHEpikO/v95aGbS7oLLRDM+9YoBjRhiEZEZoRilsxoXapB4UkK
4a4ycnH4pPwTPy8YGTbGHDFpP9u/xDJg3QKY6taaW6U0/WtgRpNd+NJC/BRX1a8Ul9IO1VtHFkle
z/++P5SpY+ZWNOVMTWWMDEnlM0TgVksDdjc+PwZj49g41GlCOTROZSDNeiz6RsOTQZ9VA22clHpI
bHk3RykHvUb4DWtCsh3h668XhfO6BO26aozltXuJBJAS4q4QyA/HoY1zIX5OhPDerKMkuTth36WS
C7cW7qglgwuM1ydhrsbYaCqoAoF7dSz9qR3LS/KSNjtlYxPhm/bzo2R5pcJRn0GGjFe5enxPVXVI
I4DyeqgTqbPo/G6UpK5od7+qq3UAq8R6H/O6hug+dRswdFt8GajOjYl/H753Ds4/7e4k54D1RRbT
0bB4m4KAuIxY7Y2vkasBSpkI9Q/NLp2EM8dLn7XILmydfTnXLjRidEpgy2WnF53H9FwvvjvbNg1Y
qMqJLS32UGFQHf2erL6gtmvGQLZvrfSLYDHa5J3VcMh3XDjXdmej/iL498Ss6+85Cow6bXoF4YEH
619UL65qnc2vtvJQL2hlUZQQ8lq3hIff2VuVXKTSo458PU6bqWHMasgVxRmcJplyyNtq/c5NIzOV
IM43b+PwxquXx6EG57f0PTV/yKWcw0uDwBpdqYW0YU9fXa1PpZvKIaKhr/zW2iwhQfeGzoNOkMRo
PMVdUwIVrrB5Iw9p8nLaujd2c5z26A70IHSf4ymDdotRIwjsxXPtk+12xyfVETePOBIPSMR1Rh07
S0mAbCNbwqDyKTlhE5LEBfH5tzpDTPccx3fkfF1RTXW9Grpx31CJD+lNk0LCF8DnAWg/KG5hHms2
OgY+fuDwEo31kNrU4bzRQlpUJ5YZSZHbLMo6pPd5xaXOKDLR68RWFu696P+Il63mGrLePChZzvVN
mCJLa9fL9+NchSz3aRRcgjYcrb5Z+IH8/ZWjN3skoaeqKL3rB7kjJyTtja94EA7nSDUcDjiNdHuu
WBMvUp/jhziBQ/bHLh5CE1HvIL/s1A8FCtqzytz7j8C3tHDG/GSTsxftcHWddbHFpC2weBe8FpGy
sFTX0kyJr2OKxu7e0keFGQQjwvSmcStv1n4npb3ybMqjkfOKjbR/tYYdZllBh4Nek07i1885h7qg
yjcGqguPs+oKlJC0XSoaZkEl4TbnzxIwBLRDzUBgeQxDn8GNRl9GFHLMjg0BG+lmlyh3C1Y+oaI6
ClK2w8Jf+uXgiTLZBnR1R+xhMVmNxsi5WZdLnCXwQX0uGYpa62cXayqvcsjtCau93Xk7qqobzLQD
dFvmQTW0NtXF42I/vT/gHBy6dMEZbVw8OAb+bnKb0iJc+om2EuR2jkeK3sOwOY6PMpgL2+oTobgr
Ln6VF1aRcM36g8IhjcgxfUJdvGIPTrDnh/sI+qPe7OOsoQA5cyEbVRWXQsKaIja2LLPQC/5cguwp
DFuIGWUGjhzfKU2qbDR8EGU1YLLf4ut6gylDqxg2LGNxOd6KlJatWbCi96SajnOqiQp8o3+5S9q+
qbCRheJnLl1oH3QVd4e4OLs24Id5TjC8D8H6L+keodmnxfrj8VCm7Lc5ZSnbFp+HDeAked81CsOn
ZC8ag0KVgMZ2iEVY+xNbh+zsEPjiB6dRFDqgXp/IttdH8cJ1GAOQA/f2nPY1RqBWExNcm3hEOAyM
Mv5NmOpJmI5x8b6xnJFY5QapZdGs/cXhO1508o/DLJeTg0SdDH2dCoq3ZYNn++kmnQmFivKEySBP
E6h8uuye7bRmILSJyHXOguSSI657LsorVq3DnkQY+7yU9uE71h6s+sM8VHb+k34f0k8DyLyGxVBE
lJ7Rum690YlVMHHFt5cErvzKYlolXlcsxVBqJEZJfpdI1PARikD4ppmSs+9fNuNBhW74Hyd10L8a
19qg31ZPDICjLs/OvlOYOG5A7IWY+j7o2o6Q9Banc+z1RIKnxugKqi0GFqGPhXhtAEGqE7X7xtfs
+peVsoc3ldm08Fty/KZWJRyF/ubsqEpx9fwc4uIxH5XfjrhQCHzBH6oVFeYT7JwNAcXNvB/yxH14
UBxtDW+4ofFW2LN1ziz88r6A82f2J72xDUaWPKMgk6NiKqeb0hi2I5YG7+H5wZlu0+mnSs+dUgGB
dJeT25Wmdfwxj/mrEIEHtHGYi6ShqW+rMHxjDohr7+v9KDJM/J0aUkdSqNwPp0rmcz+dAAy0kt73
zP+YFfq2us0Kn4V9/YVMJV8srlGLgURXfHggPVw560jdzxflmLX20HcOFE3Q4j8x39WCuKseWM01
kXjL7M0T5o88O4C/xNydzkDQJCteEe3JNtQcLBqesq7bX7uDVEHooBxLJ42M9sE2BYd7mwy3LTqP
D7LNtW6CLfGsdFtDRkrrqtCDgQG7y4RTY0WReAij5VLrrjhhYu6S3px/T0zDNBcsg1QRHPB2uqFN
Ws/fPOhXHx5N/HeVLremOhpZnPdpqa/H+dEQQTqs0eScAw9+fz1vQBrV0YPQPMK0QV3uvqy1S4W7
ytXSk1nkjB4pvL8TdovHtOvOx2lLGNMCvqTKQ210dd4THM/MWMy5TJ0yOc7PeI7N57RUDozpTmnP
IXs89IH06zY0EQpaY6qzGNsKPPH05bUWN76NfsELv2PHYxsoWEK72l7NAaFvJdOfGbZQsaoIFEdu
/Pl5iCuvrT7YpKfAo5eQ19MWInTicjS74fYRCeg5AE53ShFOw3IIj21jVg1THVuG+bMNkxU9e/kk
4/sbcaeJ4cZ4p1fFtp0ElrUoj2u1HH+icMR597z12/MxmFQSfZ52Iy9E/2WecE798iO1b/CuyrVn
iRjD9yT0uHe0lmmxU3V+O7JOq7csogR2NPtNTKkELmkFJgGRUxQm+1kvXO1YmNjX9KomOQmjvW8Y
fCYoaCMkAUJM4a7fXcorRzdYx58+6e+C6pc4szXw2P2kGYt/v0rtGMBfjTMtpe0afPnukeMDimRL
30sXnx7aniGV0yxfdgSi0C6XdhHCVvec9Md/DunE1xtUpJTlXS+8jKMvFiDv3l7BVNRnJtTHM95G
VU0TxBWq+21frZkZcUw167AhrizUX9W+FelEpDj/LITwIPu7JPxT+RhNwXV9Ao/6ZtfNHLVluXJm
mYj4GrpMMiFvafzPqgiYoiGR36BZMYQtNXkConayLO+8CkslPL5d2eSiggH70H3Ha191jkA1256J
LlxLgeTzLTYJu3YfsxP3BhZTn59+5D2yD+uPWwBh9psK6jeUR+PhYvif4jlTznaaxcxiKLi4hR4E
NvSeNrzmawMkEVqlBxVG6eLXHm4PYlJuakiG4fVjSWCy0QDpz92C69hxfIqxgyeoBZZeuk0mCwMl
NjVaq4lBRfrfYQU3Qebb8M+ULj912pVUfueYigXH0yeT8IUUpW/ixsFTY2lMiJljZe9Q0S8/zV5G
/T7NLUDsLwJgVTtHlFlsinVKiKbBOwy9KvCLpz/j6GCsBiavc8zpcN4EJmbm9DYc5yK0nOzw18Ro
IYHPkoUIjvHZLxXhZXLkOcyLRRmpDebE9n20P8iMAyQgIRO5CcpNebMTJQ0qWiDzzPwuqVWCNx4e
BhJRKkaOBQBrEwwGLBtL3KiDAGRWjqESFUK1qsnnVcUWcX8ekEH+mo/cJtuPZEPBSPzeN2O1+QdV
vOzslog++G89vpi4XCCmnI2f/vqe4Vy27mCCncV6rMn47mAF2UVDPtRmL+hDTOBO022WY6lGHVp8
HAFJZ6pZ6wk8rDC7/Gz19hshJUSC5w2vsJuILyw7fIj3sznyqW265VV65cJHP3cxmMTvj1ONJ9yn
odp2ytKTXRqqvBQFwfHMRDiEHWq6oNezMJSHa1rudzPcEZnjeD0wOlcVCS428mm2Dun95DibNsxF
jLWxeRcu5xf9bB+V5AjbfG948aJWiGxW9R8KTINnM6NYCkc0Br1a2qX2lZYF688DtZ1Q2U66CmDh
zIOZfme3Uu8kdKsQJ7fhBfsoNvPiKzum7TJ9pvONPE6f/wW7IEDDR9yVXJCy8MUtiUyHMubxOQBG
dFgmGH4aZnRvtiD9VvH9+0SF3yEwC7DyfBIf8AphWrtSCsBp1AuRP8BUZpWKCIKKAvuWtkpRx2mP
en0RHMtWIcUnt21hW3THy4lLAgbjpuHStK/zyqukhKfiCStLTUu6ylDh9/c/dms6VWPCR8xQZnOg
Jzvxt2HvQw9SfXUJJwpDpan54b/Hm666MZSdaFhgxamijng8v9LBiOyiXsyNOdPWcileBOTx8dT+
Rs/0KrEPwyHg+rn/q+SNkg5+nWWrfIg15N1424dlYahFDmMLWtvSA2WSOI5SJQGlU30r9sdgNF0U
oSOyLDIr6Qslrcm5tE81/S5Qf2oSxyF4XW/aZE6Tb94HPGp1D8CuzLfSlK1wNPLvSwKOvo7Ofkod
zJv15o43+04xVOz+lt79y1FJjF2fPlWt4H7KofQHFgubIuExZd0Q2uNgsKg8RafNrsZdJfmBN212
Vejq6Ftk1GMJGSoUtMWAtajklJmHlae0/A/BoQOt7Mf5TSydsflpA0ljIxeCsyCvVD+NoP0MWCPL
joLT/I8izvAIVqbfmJ+qyI4WmCpSXeOinQdq5Bqt1Z1pWVsgg0kGXYt3vAeAa3v0pjjv9VhbaIKR
pkrjvMW+9/AoDOLtTCJoH3r5I8BpsvwTOVMN8lqvaHmXhYGLvkbuLOj8CQ+n7JJoqhfJnh2kI96C
R0GSjF/Wrisi5m43nvqpevhZnk268kuhfDCbWUkMFVfnuZ7i6cgzNj5uIaTT7CgSaajp5m0W8l1B
fvgZ/map/cLIVoeLT0c82Mn3FA2gxjG+aLVJF3OqvIk24XhNA49Wx26wuPJhk2T613biKHaQAx87
zCHhwjoH+YTaCxodjTAdvilSAGI/QiIMBUizLfMD981uvxwahapAaKIjSrBeKV6L5byhSLm2IdVZ
2qI0Xa7ysIQlTpSZ07tMcRogPBsVSYhsOXakgo0QNpc8EJLDN9wbqzu4SjGO50h79wbmGsMaoNlO
gysVXNqBeWqbx5iI6vWCfr9e3cPO6SnHq3ZFr1IzSywSXhSeRkIcLolnKZvFghbucfIK/oBITL4T
WFG89sDgHLz79JUMg8fMDSF1ljru3qM2jsIMVWbARRb9jBj3Ay6774BR43dMb5zSVHcx52zBt58b
LoTHox9TPxG1kFucIA/0WVO9cr07nvD+Jpx/LAPjUMIqyDEnHZZYz+EXrCQcsED5qOnVpvoLhrYI
jTAHPvMseypnasNk/vE8TAGcBtKP+1od5zntIoCRJdRvwXQhGaYkJLXoca/nbgwkRx9++ZJL6YDV
j8twPVFiP/38tSHhZla1WWssZ2l0hVaNecgTVvQn5pczkdsS6unRDPn9L9yYPeEDhm8+bBnI/b42
eyBD2IMnYPQabNM8TmWS/vkosPXNJmsqg/qy2zizq9aIwVk3QtQ/CELdcJFr2eSFKD880CMixL19
JT8w6ZiAmNZOJpkO67tdxkeLEoOzU36WFO7beCQFT9vkiXgkYLOCLrZvhp6hJPTEBrswfrzJk4Kc
joFWwFKgslrskdceX+Vgz4+hr25nS6z5m8suAuGBnlWeZ7PPzGCucdTyc0k0jbIdwmdROPiQ5/t5
eLV8kg7LjwweHi/YNo9GNaYo1YHH7nfVUwwESF9v0Sv6kvFe2ocmdeeRIE/x0lWx26vumJp5Qh/H
4LtY6YsREsfmetpZ7OaExC+T4dveIR9oclxGdgzGxT3dbhS0tgHObRT5iaY0LMcOThontu0YKsPl
T2rdKRSu+0NOKwlaYJJl3D/Fc3KsabpTiAkRLMH59+klPcGGz7N7LUz5e7Z694U+jQT71H2rALsv
wglIehc9ZeAKg1VSwNJZ4Q/b/DN1kUjzPJ01+9zfWswpsTecOsKC7uP1aBgYm/kPWcLPAskd8Vdn
uoJOqSsDXWj4WAtm7hmYi5B1XNLDTVputeYop09VqzEuZ7FZi+qdILz7cPQ/Jb/f7eyo5fo+hi4z
4qMw+IyoHxGso8NiSm95svEmCw7vrc1ED1LCxEu6pf9U/bHs814/4bjg1cwUCUaioVkyGM8IN2ED
QD+Y8/nh1nseo+z7AonQafJu9P29Kum3bVPXHHbCdywkOe1G6bhqX9834N/SfmIQf9pCdlsN5kVx
Xcj9wJCWwmaN+rxKl9KAfgfpU4XObBKPFc3S9wq8p6PFQVqYzTXIR+4vg6P7+DaMg/EzrxGrBQwF
x0dkgU1Y4g0lTn+ylE+3iCgmfQzOX/3okU1DzaWblp3Y0fNVOYIJAoJ9Sq6cs/bxxQ8xsNNVGoup
3O+jf9mv9PBFD1IL2DT2IXw1L6g7x2KpR6bODC37vvD09SMRMUHbz/D1Kp12Lf2krAivpaW3gugi
9TrUEo6+SPX1G4pqqbBk35tD1CzxEmPUKxURQIZPh6vppzZZ4jls8Pi3/vfodx5EdbniZ/eMg6rJ
P2/h6kFxGaiDb26DE4oBvadJVpcqRNX3suZHBTZvm4AMTzhLqRGkFGc3ni7TEeoI6SrGfGT1zQSW
4F/53yotPubbTSPVCkuqHjZtS7QJdahtKApwdGX1gr+9iIfOumZeLAbWVjBE5xW6o+61MQdYB89d
21tJMy4h9I5o1NwjcoDlrI6qJxFHOnnFfqjY/rh7dSqN2pK3+FIi1d4ywymyzikzqLjUItDPlODk
p7tZVdrdu7rSMqrMrENOWd8W7M9LxtV4129msClpvDX+IT5pLxsY6dnQZICClD6g3ltUaUmT4SYv
DFPo6DWRF14AXmUQ02AVel1IOWGcFrQZ8MvtJxCbunf/4IsLJHgDo9jq5W9ucFAVoeG4qvqNQjXk
OkC1Z21sZW221P32fZK45i8Y02fnijmAvjpeZlR0SlutUFhfOVcf8+dXnGAxh5i9l8P2Jy1qL9xM
mvs4ES1NyZUAGvmfL14fcKDG3mz3KjUBRwmEpAjPxPNkH6nmzpLd1bPEC3CXVEX1nr+q5a31Enms
JFgkhiG8oP9M5f3sa2Pc8ab2zuHnEFnWwCrgpdf4io/LLozMhYbqRNDp7C7nx5czzoax3f5N47jF
K0AAgSSrNhbgjXzYyi8l/B9jar9+Y3olzUorRdgLTkEMsqB9vCFnTlP4Y44ly5PZyEjC5pQ3peKk
TcvkOWG2OzZDqU2g9dX6FAKDD2jmumQdqF1uVTBMNl9fnPzwRSutrvtlF9RjArnq71IYOD4F4Z14
ne0tXmk4Q+Kh3pk1KAcdSfi/IoP0ibaPu6+MZKKsQga2xiuCkJCGOknjv4lbhXhbEXHpdS8oLDNg
rOgxqL8Thps/1y3BnddRC00evpKdpnJ90f/ERMqge6lEMb1QdOVc3IK7Lmop8Fmn/laHzTFpGTok
Vvu9QKH8JYSe9+TsmgD/J6V4DToFx7SwQeog+1X5nfGXSubFLGRt5DXqd2JBrA12QcK8C4xeeNqb
nXxg+zpWPIik4LRWtclJ7H29TsVRb0rgDpzsi3O6l5mB/lV9wGG+5u15kQcSQevdVuMDmVd3DcIv
xOEn2xAqpRMyvkIMtA74RB1unEVGYbyeh1qeJlRz9nk2eoASYyeeWKFtFxVnd5jhcXEyXsSmRsFp
R9tsDpaO99sHDLo0XZIeia8eNg5cEh+FjdYS5uCuzF6j10zRNsdCIoMXTS9BGrtZvF7mdlQEBoPi
uF8LHU2NR2dvJCdCV6IiQEOB1oO1tpUG3BIehAhqJJzbr9FbLO67S/5nyR/GlUXhsi+18YFfscaE
EGrtmXbIjNNb0eLfzbN6aXGy/ioooztDOErwW+7sX5+bTk++2zs6cB7t9PzUjnhzgxP6u8xZgAkv
bXvT752BCWHY5dsfRzjy8pse+se9a/ptibwPmfjpxdQJqcJX8dXmkjMau0rzVqiFUPJksSGGSn54
cWwNQvL8/FyOsWZru3ew0SjtJk79F5abrrTF+asSbp8qxEz2Yao/ajOj3xTqn+BLPLPvC0YxgzHX
TbSky0fKeNIB0WSH1nGuQ9VmzDzlzXeAwPjZ71zEHMHZQOkenEgFl8u+GcEwqjvYtr7b1zESucjF
niFUY+dkdpZ3hJX2gBN1DZbBLISYCXE2cVpmBpPL4RPbMX7pu4LrlDm3/IzSrJCnRvm3XDy9jAdx
RymkavFCi59UA5hP6TtEKoYV5xQMqo+K5TLmU0xdSSaidX/z4xZX4hxDnqJ4EoExvpB5Wc7KtAfF
ZIhVr9QPzl+zWU4TTbCcHZaca/gNIc/ZKvBMcyHp/JY6+6+34i7PVk8ID13BJeQ/+vYTMXmQleeZ
LcRn32IcaoU7P4TfMiqOiK4e9PbBId7S8UFntdrDJTp2UTXoC5StuyxFPyPLiR4ytRkgDUApIbUh
MmmvhkpjPw0ul36mVa1v4+O/SravJmIWnWNChBNuD5FiInXwMU+wt+uXlpfqot/kCWx5S29Udte9
P7n5TvH7W0OTC9I2Kf/WydEHyScw1i0rnKXuAAl+mdk4BtLgtau8cFnN6Yk9WCAyjXQXm4KV4aut
R5jvW8GOeu+AqyX97elrOMbdakOSYUyCEeqBHlPOjBufgCDr8hw5o6uvM1lMkRp1XYg3Mn4dDRhX
iWLIsp+jnJfJV7p3HYq74kgDgtit7SiIqr4m2+L/Dg8/7zLWOYXfff2s7ExY6oGVXC/QWfCtwEuO
qaP1utP0ZLrNo4kmb+X38B0dA5jIxH/mp00mPpwXTwJCnZcuRoNrNTFrsy0jPl7lWyzAyucIuLKy
MheHgJ0fagqcwqs06c7tu4EIIie+NKk8u1vGJaVtmyVqSLQjAj4UJZqtGsJwShp9ifLIj6CMgbNh
P+ypn69vk9Zfl6qLBB9gSm/XeZuE0q6pQ8aAtXrP7XrmnrZvXGKjo9rXy+iJ0OXpHQURqC62LpNJ
nnauhNx+NHNYQvcC4ekiY9+5Fag+mAVHZYIJX+UVUaKXx+rfvouRdp3apcY4rKk2LstAXpb/if3K
ZnyE/bySOSlCjcP0TbbLjYkIzPzVkfhOQTS6Bd0wnB/fJF8vOtvmnkcRu8Gtk4ljTK8VLxHxzSHl
qVgjpP6z5vhmbSRkg9DyAeHXB7zf+PTWjS4/2W1ix+lzD9vmEHGag0qImorQaEaXKdFDxcIHcTXv
icOsE5bNPCd1lqppcZUawx5kKmfCm1PNIqZecJ60hBoSu7iN12aPZVU1FUovLz6g6KqmPB6oct97
pNP/tvg90Bxxh3KwnSPEiSi0yCEVecD/FakIF975pNInUECMIPfZP2z4bQ7e8p4I4tQPnsTZY7Xc
8MKGtuiAidvm3Rv1cmEyrqH+6PnAXaKhO0K3OefNTX/XLi4DQbyd1SfjL+Od1Nek0iIt2MYbRVfq
XRHd9HQFYMf5+8bP277KQ/3lNygbB+24cW8+TMNaxQj8riGlVUJ+w5eWeEaYiPETfyFHxXZoVYGN
MIOmAaz+5bhsrm3ACECxqQubR5AmsLPeWtaMaO0SMOkp5JB6w4xYI/5a7e124sINNGVMI9GYfbi+
LTUh2z/bR101kikc/Cnm/tHicY0A94ItxtdcsvfuHdKY3pS9zK3wCMjx0j4LVUDx2ZoOTXNhZfSX
9gy5fZQnrvJdEsfaUbdBNv4Xnnv0IeDLUHPcO9duSsUf+ydzrGV8O+hovcpRN/7tMdmd258/0rwH
oi6gjiO4euow8LLt0ecUcETT25c84gtLQNW9WxOwoFDyRk2A7UXzHjY/MdsUuqCvb1n+8F32Ap8a
EkaBl1mjM3rhh8GRbcLXBN/jYJoejLsRd9fiMLNmwyv0I9k76m4sPYPpOO706txK3tQAYlJkVL6D
tVqoOss2grU9e4krlmD5knFcZO5EMYe3UibvjJDUth61j02BB++ddIaHvQJMs3la92Fweaqh63er
7kiM2d95afxt9ppnnkGhDY3Ie0zXktCc4A9eaE6zdC8WHUKzhnYl4+0GCpS2F+mw1Jg85IzCZipG
SSfoQiVnBkehvPfGlvakkjhbcPQC6xNdiMWflzUGb5C1IAknXTFBzQU58Wd9NkqJR2aOqUvzPHMK
yesqhEfnsnIt5vXXMC+jYnguyMgOvhBv5d+MMYQimBNrvjbthkOLz9ciigPfzwOFZT9v3TTKasW3
n4b+Sld6nQEmvrIEp+VgHaayMnaiv8TINgK0HZ5ddfTeFMgg1l2jIUlabHIfrjxxiV32X7/Pb38e
UEXzJNoDkDi8Nr2EIZfe+kRK7Dvq4/A+WqqhlvgnX1SFMsZL4V2vYTEOq2zIYpcO5nWCAhujhbkJ
R7YG1TXq5QIjjlnJSS/KFgtGeHUaXcy0h9GfQGVVTw2TUx1+31oqiKTGxnFoCxJ03YK23iQRMcZ9
ez+pFzahohuh1K84iHItcfs5oLHi3E53C5k4Jyjumuj6J7LRC6itNCNmqXbg2/xJuMlWURR2avT+
7Bs4kZUfBcA1JlGR7mUEVYvYgJzRxkicLJatIb5YH3QYRrbpIR4x95MOZdwDFkhYW95Xyq5rDBfI
B1s3CSMC+hW01KnzT81jzm7qdd5zGUNSK65opbgJmYrdhTKSbYqeGvFUUR3KRBerIL+t2aKG9bch
qC8iMNfchvAuDT9PNJLZDEk+0RwfaFWZXg70UvulKU5CCbyOa6IdVb3R9NVzhasbCwrx8Z1FSxG+
vhzfjAkxpmvfJrn5LJx87gbVB6t4zgZP2ucaopsr9Cgcv7m3flg5HKKC72BjaSgNPNcWDlz/+EHy
ObKEI2fCnj892JnhUo61S9l5kDZwSsOEzW5T3FU50nsYZ7OJZAAiBEUqtqtnUVubj/EKMc61RjIX
CyAof3OcOphnBduUiK5Zmr4cJMUyd7FZfsbwRdNH+pFQTFcB0dYUHsYXeTtbIS0tdlpw1In7JlW3
SYB+Yb2OsGans88cwqovMn0kjJlqQHzByik+7R+p3+/xg6ih5RwxQrOCky6QtWYMVZpDJ55ANJCu
gu2BRbCAmlbTKV3vO/db/JhB5n7CVqGAzrf4VpYg/IJUL36pUI1zkvekDPpyrWRUw68cSjeLEM/c
+3MXomDL/bwWHLsxGhOltgPJ1/GZEryG1WAHKPa3aL6h29/dsDOw+90fhTqFQ6O9pGFhjZNx1evy
yopenEe+Op8L0hKLcgSZ/QyiunJko6KkSE+UJImO3S07L3o4reLForVpWklmZLO6Fd/+sVO/lTUf
yOtAL7VREF/3UetIzyCfL33au5Toi5dR0/bpzg5/bpjQ99yuuwqzE3/Nb0Zecud8g9NbduOprILF
KtOz5/uKLgG3UgZG9oWHPn7fGghX2+NDpSvQKEVA0KODB6LepYM3+ZUyol/87hKbsvNZlY4lrTDr
Kwo6BL/UUSNcdJY/M5DvqZdHrQ3Lrx42gAsfF9N4/UlTsn00qxoYbVXiCttjsj8sP0rdcKWc+GI+
ze+cWRsKr3XJ7jFTIUymW3UnxfBXz1iQ7GCVMwgbko9tRHTnxSfpe/h8WqgDY/qg/wr6VL2kVkPo
t1Wc5BLylc2FcG0czSuuR0aO4t0Va0Y7yL0N40XoE4x92Tggp4OrrdBkhyXZKKwBywD112YpNYgV
805/dlFYpYiaXuIXs6eYKvx0vy+CryHQ2FVgRAamcbkI3HN5goM8i6JgRWkelsajqw5+lGSGmMDB
RdUo4Ok/edUnfX3O2gXhooUsrl/5CNYtREc4kJ0uPMHfI1fsIeQkM5fj9/lfk72A1/WLC5mLl2nQ
UnduR30T1gotyl4vwx2uLCSiErkFlQ/wG3rdOq7ryz/aUb50CaV9xNa8/axhfbVwyMP1i+xVd97V
Tr7oJdx0WTfEx5eM7uHj8RM4BbmXDJ5lZ/xR98JZt5lGv9DQ/sJTXkSbOq3mqrPOXvr2CzM/5nX0
3Zgg95z6O3pj9S41RQRXMsX9Flg+x6Gg/rkzpjuK3/ZMiCJ+RSfkoABo2++oL2azpL3mhfNVFH2/
QSHtMOj3jiyo65ePEzxFXmP1a49XaJu1RHvw1l4a/pSqKIQb7FYk4lcp4niHdKMLUY1BwjWmeBZB
a/PHfavyQ7pOid/OyyHwsk9CXudcoy3AykyxtNYKQtUTyiof0nGab55FHcL75MaaWVgvLj1ve+Qb
8363g2XGBtA3jAMtAcbyhIEntQBDqTumjVT37xrUB9QAywCda4qrcFpfALnp2efQcIp2XTV5GPt6
bebau+YwwmUJn2IkLruBXQyJklPeN6rBUeSmeSE/Dj/j8q7rHp4eTBWGT6W3Ra604OGYSGPa+Ips
UPZ1EAHAsdm+xcbZgyFHP5ONPylB7y+yt4CflOfT5aDXYoxVGEHpcGK2V12ZFYrfcDfU94Zb1c3x
/O/8kgTzNDQx9mJxYspjs6nOCq+S8mRhsRhBQkzOax+W0tKQZfeZlxCCTQjO1qSzyae1H73mGEbH
+Y1UQas01nwYRHIGnNvlC1/XtlPlxCxfplJ/uYUteCctqHX0EYcezRaOYR1hTd3tPPhXGNOJQ4Jq
Eyf8cLnFhALgl9IQVmLA0F2mDkOI8MfOZYipaz8u/noJ6dhrNCrHHNgQqS8A2YAon9wobhuAsNW9
W92jESAWG6Wq1eijpI6dp6e0WOGRbr3i09mCNJkO/fkFsck40VX+YLhEM9jTmV3dMueyzB9ZeeJ9
wSbHBEtj2RsJt50jUVq8Mmqdk6cfsRzOOQZN0RVVB32r0lTE2GwpfZnZjb611yCW9wZNU12DqiIK
8xqvBLjhqGMK6J6jSVao5oLU455JuqV0uWkg5sD8VpCkYz8qIif6EAe8PPXQo0BvJK0EGTaJLbap
NHvuxotWf9Yc8z0JdyYvR9KBvrDEGj09k9ObrKtyqndHKzJp27Nv3pNaKAbMfUF/mOqxDEI0pX4/
Pk8a8TIqPn1lpFxRznv6+XLS1cnCGtOHqi4wpXy0GWJctDVIXO1/6D/E5BD6K9dpBIaIjXw1jpoQ
Z79S5X3bQnE+36Pu0k/CBcQEevwqEgCJ7j3yqY8g3Cc36mal+Be8/tW+C9p7LlvhqAN5/I5nnjLZ
dotXygKs9rIaeISXm4mxqYERN9XLYqL8ww+T53HX9b9CE+RfMRNWEG5YxYKvZNB8gmUwizIBIToz
LpMuJ81HGahdVj8UpOCnW4TYJTCVErjeUXJk6bsTPeX6sE9PJmXuGOp83me4ggsLRKXXm/KjSsxJ
zqZzYM0Y3lxquQIbrSuv6q+47YhIEpxaSmPKxYZoVK7TrEfxWTjTEjSZrMIo8wFspTgRZeODLINB
PcetSh4MmQb0y9RxXTg/JCZTPt9SGqoRr/SV2Ujwc3qYN0keqxYYtLnmSy74KbpuJD3jb3CkMVxt
ZePoOIQNH4rftl/KZEtI6NHO+kx4vl3PQTWlzUmHO6Wx4cjDu1KUUqthsDl0aOULzhgY1tn9hYUY
s+nZqp27kV4SR9/YWLgieuoR31nrCPRF4xCwfHr9+AkYr7pr/+nrBIEo7q9nZhOkV2smzk/j/tIE
SF1WhG0gsH4yAbyf+pfFW6eoMPYspmXQgnZWQEB2sYEd5ulhvh0KhS1kHClW2Z4kiK2EUR31477h
ZGxgavU4DZn2dvlxy55NXPnOtnPyaYy5ENuNGH7clg5KE+sZKppCSLGtKGJ2N6Mmpy5hrIvFNeqP
FJX+p4pjT8APaPiTxQfnhuqfhibQkSQSiSDLB1rT1ZA8I+9CEcUJvPMNI8wxWD9cr0/8qPRExhiN
LyEPXuKen9BwL0XRBPRf3q0JYGqfVPAzH/Iqy3IuWuWycyst4q16TJeOEre1rJfazst1C6EOU+O4
vvfvfAN/sXeLNNthhDhARIukcxT+QzjuDf/6qfWLIU6nyGj8GPJzyLF99CFP9NbWDx+m5YR1hq57
xGt7wsR4OR/YfotcUgbrHMML4WroJV6dpNo3jpcTtujOHf3b3mPVEtrQZ5rXkIQvMDPGSbWV23kq
djPbi85ea+hrE/WIpqhMVY6jIhzv0LPTcuuFgihFREnSKzwN9iQ5DoVzWKJAVTMyn80IaePPFd1J
gHEnilOiCcIc2EhOFSVCw9H724P4T8bo6erqEZBIF0vzU3D+wIreNXDEeaFhNtbqIHmn0vAAqpFO
qd7efrvSJ3x4AHdYlansEzWXu/QheV/WqSUiulVayg8Iz0m6aJZF9quAvW3IoFP8KM2tcj/9iUkb
ssieTuydQZ4oqCVR1yxwpUpJTOj9UvfbaDShxzmZT3SaDiKIE9Cd6XivOYlDlLU9D7KoVmA42Qth
ty3ZspPHX4m5rrqcZD0wD0o/v+SOPu/L3t41wP8i1C2OYm1GWzf9XOWz9nbVpQfwU8uredIBA7ih
k6wdhVR/G3ozgOgXYGN/kOvV3dDYE2DVr8stXK+BLzbRua39DaX7qU5ALLCarOFHwBdEfSNMh0S2
mmMUi+S3bYep7DNjeyUvn+rkWBOk0K58hz1seKjjIubESI3gCd17sFG8pnig9OMEOMmBpQFa7N9/
tDenJ/3WUvTnK1h9VUrt/ulfRqX3qp8nIiACTw1TdRKzhuP93jYoHNvyqCAZe3t6F1HSbFPFGj7c
rz5ANTHkBW6syIY5LM6JxmeGzgoLXxfbzofIo3dpEJbOemOgHfkGrbkn3lvbePuFWtUUTQJaIUzL
Nzg7jIqcNHwnj2AxStcwpeu7Lwd58bil/bidZuk62SP0TiYTduDrPc8mdqdFxkgpFzTGWhdmxZRQ
sGSQLJxmBLa91j7m7WSdtoy5x16quxNb7HDmj9mQKQ7y9rdyDeypEWc6OSkElFsPFP2PV5bGiTKv
zjMzdQx0wQoyqxHt8vpfk3qMOPn7LFxhrlxaOsTXvRuFgyAf09oRUATfVAk9ZPin5UXEMywQRHC1
bD68fzNQBHYxrA+VviSQQfPqrcTzlHnqHgwY+GrDr0mLf7qhhppuI83grKBOLEiTjKbxMnG4xFUg
Wagl8cX+RFkpQW95fdSQ++5Wfrm1Exd5KnskfYplHN2yLOBjpTyFt4g3S4jUNd1UK9TWmmB++tDn
OT51oUwl2lw0z84Akz63lSSildXqAytOK9nWj/0+6njWGpyX3Z4Qtn3Y1L7pR52Q9bGMb3KPXJQE
CeZYScCF/jfnyDMaVNS/tpUwr1qme2O3d9JZC3irW22PoO7Yv6rPbmWhq4fOyX79+sfZQhFUR+n2
S2iAzKEHIq/2C5dzMkWPB/nmJxn9KCUtB7PF4nAt0OwAaoD5D5JOu58bdAufhrXpCOvR8QIsjsYE
fZMOtsXkkidkftdnvDKsYH8cXXxrjhPIUAt8u7A43SfTgsV5E04gSaSU1LATscvx/wAjmpUyCmVu
ZHN0cmVhbQplbmRvYmoKMiAwIG9iago8PAovVHlwZSAvT2JqU3RtCi9OIDEwMAovRmlyc3QgNzk2
Ci9MZW5ndGggMzY1NSAgICAgIAovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0KeJztG2tv
Gzfyu37FfGxRmOQM30UQnO3UqZvaMRy3TWv4gyytbV0krapd53G//jDkSlpJlhQlORwOOMDicrnD
ec9wlksjKLCgFTgwFiJ4C6ggBEANiAHQAGoP6AGdBx6IFgiByHaIgHQAskAuADmg4IEiaPSMUfMP
QTsCTWCiAa3BWQRtwAcP2kIk3dEBUFkPOgKqSMB0yYMHROfAeEBSFrQDJGPAEvOjwBpA4wisBTTR
g0VAq13HBkCHBqwD9GTBKcDgFDgEDNECImDUBqwHjF6Dc0DKW3AGCIMDFkSzmBZIW93BCKQjgbNA
RiMEBWRdBE9AniJ4DRScBW9AsxTBgCaX9KhNQPAOtPMOvAcdPHZ8AKNMgEBgyGggDYZ8APJgWG9B
g9HWgeNrtGAiGMP8KjDGa/AIxiJBsGCsxY6PYGxUEBwYFxQED8ZjYAsarx2ECBYtQVRgLSqICA6t
giQSKYgaXKQA0YCLxnWiBW8Z3oMPjiBGCKjZKRCCIQOoNASvFRsNQjQOUHmIyAZREaL2BIgIMfAs
9iKlPHUQGYcmD454Boumk8EVMA5UxoJJUz2BV+wE0YOLgGhYSQiIlrXBj5w37K6IPsaOMYAYyYIJ
yVcYkr0F2T95CH0E5pyStypA0qggwehAgPxnrAGGtYyHr9F0nj0D+Qbky/KqBPkCvquKXj0oxwK/
h+fPO9+djutp2X9MY99vBKYMfFbWg/fd7aA6g15My0lZFX34o5z2B+P7zRNMw8hoMixGxbhO+KH4
OCmmg2LcKzbPtHnmi0HVe6yqrVy5DHrYezcuPwyL/n0iVW2e4POEy+KumDIX66DXGkHBJciTQX3D
wM+edeTVp0kB8qJ7X3TkcTmumQhoz4AdeVlU5eO0V1ScCNLIWdEfdI/Kj3CtgMObwEe66ciL7rQY
1+wLCexwPC7rCq45BTFJrfPF5ItNl5vOEg9pTkceldN+MU3o1Y38WZ7K42sFCHjD/PRquDZkhDUI
NqBAcmDJCcvBGp1wLtx05JvH2/rTpJC/Dsbv5OGzZ4mCPEyKkm/kb5en/Ptu1B0M6/LHYX9QjseF
oH/c84jolaPvnz9/krkGMSTMm3lVC161EmgdWEWCvAfjSKAJYBGFJ3PTkYewatHeoC7EuTYYkkm/
CR/aekFag/FWcGDqEAWl4DXCkdvGh7Xxa/jAdLPgAwUvMDqi8JxtlRXEyVkLY+lJNpZDuuGi5c1v
//yL87MnhPHjcHizCYTAk9oFYp0VLuhdYBqt4NS5AwyjFiHEZbCTclwnIU8w5dUckmg52eY+Rc7J
uc9ruJ7BBDBmNq45FTd9w8mc+8+fd+TFtOy9KWq4Bnnx4gTkVfGxXo21lXi3ejXeLe4T7wsFWNpp
lCUQAq2NiKQ36qglc1tHXy9zXJPZf1mOs25LOts/YzglIhd0JJzXYDipRdDKCDK4OU7Pik/FtFoJ
ERt2WyMsWcNoJ6yhXWDonSD0X260ZcfWluuTrzCmW1uwnP0yYzrzLY3pjVCaa1MjuKRXSmhjQWst
bPCbjfny+HjFks7ttOQSCOUMG9ctuQqmrIhuY4paSjOOC8MmRRmuFp+w8NySK+mqbe2vDd2Aq9b2
8cus7TOvPrPmM7chX3yW22dWvc+X8C3dg6uCaDQ444XyGiznQlazdcLSlmg/N9bqjavy7hIqeMGv
YcZYERW/0yjBr0jWixD3KKAe6npS/Sjl/aB+eLzlwkn2JsPHin+yP+3e1fJ2WN7KUbeqi6mcdCfF
tJJj45QTk/7dpirr8/lHEkoTWKNEjI7f7YQiu58AP0pZ9cq6HqUMKm6H5X01KWuWRtRTSQq1VFb2
0BwMu6Pbfrc66I77B5Nielf06oO7cvqhm94YxEM9Gn69TEqJqPg9nETwFoyKwjr/Py0TV33KYap+
vdagnRbKmr1l+vDhgygnxfigqvuinN7Lf9Y9lFWPSH64J5T9slfNvIwUkhxzFf1NXE0rLZyOCxHQ
CqfxPy2ClmMuwL+JCOSi8Fx72ygcb4IEFN7uGe4c7b2euB8/Ju5HQ76VpFQ8UEGOqnul0Jtv4zak
rQhRz3VOxosQ9g/vPXVu5ZjT64rOX8B1UDsX4SUQAqdIGNwJZtEJG8IuMOOd4M2gXWCGhLU7iepo
BVLcCWa88MrvBFNKUFh/I1oBI+eEQdq7cGyXIfNSYnv5cG1RC5vWVN6VM8KA8VHw5h4KDTpo4W86
1yHyE+vTtpowN51rjbEZ+dxfntG0VkGD02iBTZtHgmOIgIFHtBIOQkDB25ZWWPCkhYPIlT5EpVIt
jmDTzKhQ8F4hCs/bd3xhkOA0Tw8MmPvBkbDgdOA+QwQjfEMYMaThzEVqvSIRGs5dq78qlbWxQco7
FzjrkxeYsnuekUdnekgcKzcfiTYIPZs5h84QxrPsxqbWeEFLT7OuUv+mc82bhf///Ud/rGVHgsAG
L0LyUt/4sFZOeNA6PU2+sKkNmuPMOAVW8xzPS2bTNhCBPS4GC94xBFl+lilYTBGDTN+7yNBNP9FP
MEaxj+Q2Y2w/5T2vMMe2jdPPaRucrTbTasPkEW+00OBVCs0ss7XgfPJ+yxL75O0ZToekD2IdJI8n
9v4QW5gS1jy/oUApJpOFGgoZMrUxMp72iMNEqaXXtlbaMuURtlmy2/yu0fd8rD2HR7PlsoUaz2np
JeEjnFus8R49m+1cys4pgRnWx/+j/L8U8Rb2bTW2WkPsBbwqakwW5pbvg+GV18fI2STB8kKlweuQ
VqHk88EI/soVeQ3AyPv7EIISAZy3gr9TOl5uMkAwhp3cBUaV+kFzknAcSIHSAmcSHBNGdNR0c+uC
n3PNdJremkTWuBSTFqxS+ZpjyWiOlrzY0kL+NBq5zSNR+wZiAZufG5tqEaO5OllApWdZQ6l/07n2
PkWVUpB6bKnAPNgUc7kNmkdySz7nvfRUqbWfT181U4XCd5SyyJxGTFUAKkzpKw1Tq2WQTGbRa0Pp
VGLkds7y7FmLvacY2/SjNS4yVuOZ9dzmERbNq5Qos1gppbiQyoecelM9xHDa5QS1kJMNENE1z5ux
NLfBnguypPAGv83qREVz8pY3nhj1QtDVXksFCVljjVa/Zb00umRTWuBoTGGXoTNE2gEEnVftbJDW
0yxA7uc2Ub7pXHMdyG83jleOmLydPHPmkWO4qQ8dBJY0PecxVl9I61Fs1Maxolj9jmdnyNxGa9jf
WyPWcZVMJsW+DSzxWr89kjEb5ZiXVp+8ZUlaMM3cPJ6Mn0e8p2T+NLeNM8Foa1JlmytZs4BMT7NE
uZ/am9ZbLr/NvCiq3nQwqctpfrs5744KkH+eXbx6++qH47Ojt6g68mTYva/AZIijtGt5YB0ckE0f
2w27Em8BVj3eu3TRdORxd/JzMbh/qMEF15FMhp8dID88rbvDQe9wfD8sQHXkm7oY/c7f8TvybTPJ
GMbx0J3yG9N3sitv5e2023tX1MOC9+pyf8qwsi8LOZBDOZLluJATyV+3y76cyqp4X4xlNfgoq2G3
epAfv88SnAyGBUTX/iC0SyF//fnil9d/ZYXQBoVoVggfLtDx2yhExY0KOZQv5Kk8kxfyUv4hu7KX
tHAn7wbvC3lXPk7lvRzId0krY1k2mpnKqqWUWtYP06KQ9YdSPsr38sOKgsI+Cjo6Pfzt98sfjs9O
r642uAwiHPCXXeciuOha+kFc0g/fzvVDRMv6OWA/yRpybQVpbCvoOCnoSnZl2tEdVO/krezJXjka
dZOuir8fu0NZfOwNuyN5J+/l/bTo8t7vQ3KmYVFVje7aHtV4Ut0o7FNbYajUPhp78+fJxdHvPxyf
nZ1uijFNTYzxiaDtLqW3uVRLZZ42qmymABZ9WS7aR67T41dvzg+TXOFpscjMUgeqbyVW2CgWG7Be
lsfsI8/Fy8s3py+SPEebDIW2kYjQfU3styRC1Bujf7Ol9kpqh1c/Xf3CHni5SS6jZg6oduW0rZZS
nxGxh/IoRe1P8kS+TJutv8ozeZ5S3Bt5JX+Tv6dU1623LQYc4sNy3A70NH4n7/hvINMfJ8nhLE8+
yIdPk4diLAfyn/OUOR6MCzl+HN0W02pwv0ihE/4+l8imXiba5If0Melv+fdjWRf922F+lu5yN+WP
pxOv/CT/Jf9VTMtlc+6Vgl+9vDw6Ok/m9Bvyic7mjIYPJMbPtqbdYE3bdlGt2tY8SWv2bFm6bxbo
nE5ZDzXLvCQs7pU9X7/+5fD1Tz8cn11tzp6zoETaVaF8bppxm9NMt1lf2PmS0AN2rZljrQr/uC7+
Xkn25/Orw5/esvibVtsDk1dbq/3XrLafE7mn8jyvtCP+MNEd99trLkdnMY/TJhL2Dt+8Wi/XN4sF
uxW/rZU7hfDnxO0sYJv6aDTIPKyWj8th+zjuF9OqV06LRQSvxi9uWGhaH+B5EDvyqFsV6ePCWum9
5AJ87DadCzgZTKuaLQDGdeSv3eYGSXXkH4N+/VDxCd+9ia+WuSvE4xrxuIF43ODN24ivlZDL1PmE
8Qp5rZfI40L2uD/51Xpslbpepe5Ui7qjhex6f+IrRdMqbbtKGzlqF6KjW4i+oQTYRn2txFmlv+Z1
m2QPfn/qK2XIKu01p1sWnVqK/4JwW1k0V4jjmst5tcHlot2f+Ooitkp9zeU4KJ+mvmHx3EZ9dQ1Z
pb7mdNosUbcL6rhOnU9CVXwU6nFcg+3IV4N+NT922pysbM7qNQe98gfYlQNLrx/r4WDMmBIfkE2c
2ODD++km0/DziYN6WPD/meQTVPyPJ6nXHK3iw//5flq853P/bdbzVDufStumZp3Lc/6QS+EJPDjD
g2ELntlNxvMEP+jneMw2PNTGo57Ao+d41BY8oYUG3TqauWK36dW0kdA6krmK8WkkaeJcp/8GpzId
TgplbmRzdHJlYW0KZW5kb2JqCjEyNSAwIG9iago8PAovQXV0aG9yKCkvVGl0bGUoKS9TdWJqZWN0
KCkvQ3JlYXRvcihMYVRlWCB3aXRoIGh5cGVycmVmIHBhY2thZ2UpL1Byb2R1Y2VyKHBkZlRlWC0x
LjQwLjE2KS9LZXl3b3JkcygpCi9DcmVhdGlvbkRhdGUgKEQ6MjAxNjA5MTEwMTUxMDNaKQovTW9k
RGF0ZSAoRDoyMDE2MDkxMTAxNTEwM1opCi9UcmFwcGVkIC9GYWxzZQovUFRFWC5GdWxsYmFubmVy
IChUaGlzIGlzIHBkZlRlWCwgVmVyc2lvbiAzLjE0MTU5MjY1LTIuNi0xLjQwLjE2IChUZVggTGl2
ZSAyMDE1KSBrcGF0aHNlYSB2ZXJzaW9uIDYuMi4xKQo+PgplbmRvYmoKMTE4IDAgb2JqCjw8Ci9U
eXBlIC9PYmpTdG0KL04gNwovRmlyc3QgNTQKL0xlbmd0aCAzNTAgICAgICAgCi9GaWx0ZXIgL0Zs
YXRlRGVjb2RlCj4+CnN0cmVhbQp4nG1Sy0rDQBTd5yvO0rvQzJ1nAlKQFkTUKj5WxUVohxLoC2dc
+PeSjJFJ6mq4Zw7ncbnMDgLMNdg4sBRQbMGSoa0BSwlTC7BUsK57NWzNxfV1US6bvQ9YXSyO68vX
2HxGgqoh8IKLu+j3V0zQLpslwZhsVgTLaV630V/dzucElyOP/tt/BoJVHfhRlA/tvo0TzxH1o5jN
RuH6z6XSXBF0nWkvlTE1wYgc08YoQmVGmBWWUKmEnZqt75qpKpu7ZnoaMXceaGfxerxbhMjkNMHm
8oZQyTQHv47t8dAnGCOS4MaIIjBPUw2GGess1PClCWzGmobA9RiyBDnJ4gjSTZ0z1Yz4Z37fbgJW
zKkE/7p095jesyb5Cfyjt/Ahhv5+BV4G8O375FHOm9jsjtuifG62PkD3uy7Kp6+4aw8+gNkmJC2E
U71EfzxufPke/EAuyqeTP9z09lBiMPsBYoTeXwplbmRzdHJlYW0KZW5kb2JqCjEyNiAwIG9iago8
PAovVHlwZSAvWFJlZgovSW5kZXggWzAgMTI3XQovU2l6ZSAxMjcKL1cgWzEgMyAxXQovUm9vdCAx
MjQgMCBSCi9JbmZvIDEyNSAwIFIKL0lEIFs8MTAyNzk4QTRFODNBQjQ0MDRBM0U4NUI5NDUyNTJB
RDQ+IDwxMDI3OThBNEU4M0FCNDQwNEEzRTg1Qjk0NTI1MkFEND5dCi9MZW5ndGggMzAzICAgICAg
IAovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0KeJwd0kkyQ2EUhuFzfhKRIEQffZvoQnTR
9130fS+CPdyJFRhnCxagTCgjIyNlCea2YEK9Z/LUW/feOnUHn4jInxNxovobF6oK7kDBQTXcQh7k
QyvcgA/8EIMsFEAA4nANhRCEYchACIpgBK6gGEogDKVQBhEoh1oVCdvvVkAlnMIJHMI+nMMZHEAN
XMAYjEMDRFWCfrtXB/XQBG3QqBJ5sbfN0AJ7kIIO6IJ2lWjavuuEYziCCeiBXuiDfhiAJAzCFHSr
xHJ2ZQhGIQGTMA0zMAtzMA8LsAhLsAwrKslHO7Wqknm3WlPJpazSKk8fVusqn89WGyo/X1abqr6M
1ZZqNmG1rfpwb7Wj+vpmtQuXTsQTdcEIzzyW47Ecj7147MVjJZ5fXeBb1IW+5R/IJClCCmVuZHN0
cmVhbQplbmRvYmoKc3RhcnR4cmVmCjEzNDExMAolJUVPRgo=
------=_Part_9366_100141845.1473558832811--

.