From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: by yocto-www.yoctoproject.org (Postfix, from userid 118) id 00F2EE00957; Wed, 22 Jul 2015 23:14:15 -0700 (PDT) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on yocto-www.yoctoproject.org X-Spam-Level: X-Spam-Status: No, score=-2.6 required=5.0 tests=BAYES_00,HTML_MESSAGE, RCVD_IN_DNSWL_LOW autolearn=ham version=3.3.1 X-Spam-HAM-Report: * -0.7 RCVD_IN_DNSWL_LOW RBL: Sender listed at http://www.dnswl.org/, low * trust * [192.94.38.131 listed in list.dnswl.org] * -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% * [score: 0.0000] * 0.0 HTML_MESSAGE BODY: HTML included in message Received: from relay1.mentorg.com (relay1.mentorg.com [192.94.38.131]) by yocto-www.yoctoproject.org (Postfix) with ESMTP id D3ACEE008EC for ; Wed, 22 Jul 2015 23:14:12 -0700 (PDT) Received: from nat-ies.mentorg.com ([192.94.31.2] helo=SVR-IES-FEM-04.mgc.mentorg.com) by relay1.mentorg.com with esmtp id 1ZI9lj-0006Zy-DK from Sujith_Haridasan@mentor.com for toaster@yoctoproject.org; Wed, 22 Jul 2015 23:14:11 -0700 Received: from EU-MBX-01.mgc.mentorg.com ([169.254.1.194]) by SVR-IES-FEM-04.mgc.mentorg.com ([137.202.0.110]) with mapi id 14.03.0224.002; Thu, 23 Jul 2015 07:14:10 +0100 From: "Haridasan, Sujith" To: "toaster@yoctoproject.org" Thread-Topic: Usage of already cloned layers in toaster Thread-Index: AdDFDMa0Smqw7qlaR4+UapZPL5lbIg== Date: Thu, 23 Jul 2015 06:14:09 +0000 Message-ID: <96FAA1BA813F74449E9A4D20829E33D056D1A18C@EU-MBX-01.mgc.mentorg.com> Accept-Language: en-US X-MS-Has-Attach: X-MS-TNEF-Correlator: x-originating-ip: [137.202.0.76] MIME-Version: 1.0 Subject: Usage of already cloned layers in toaster X-BeenThere: toaster@yoctoproject.org X-Mailman-Version: 2.1.13 Precedence: list List-Id: Web based interface for BitBake List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Thu, 23 Jul 2015 06:14:16 -0000 Content-Language: en-US Content-Type: multipart/alternative; boundary="_000_96FAA1BA813F74449E9A4D20829E33D056D1A18CEUMBX01mgcmento_" --_000_96FAA1BA813F74449E9A4D20829E33D056D1A18CEUMBX01mgcmento_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable Hi all, My query in yesterday's meeting was, let's say I have locally cloned layer = for example: meta-qt5 and its dependencies like meta-ruby and meta-oe. Then would it be possible to use it with toaster (rather than toaster cloni= ng layers by itself) ? If so what would be the extra efforts that needs to = be put. Let me know if more inputs are needed from me so that I can help team under= stand the requirement. Thanks, Sujith H --_000_96FAA1BA813F74449E9A4D20829E33D056D1A18CEUMBX01mgcmento_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

Hi all,

 

My query in yesterday’s m= eeting was, let’s say I have locally cloned layer for example: meta-q= t5 and its dependencies like meta-ruby and meta-oe.

Then would it be possible to us= e it with toaster (rather than toaster cloning layers by itself) ? If so wh= at would be the extra efforts that needs to be put.

Let me know if more inputs are = needed from me so that I can help team understand the requirement.

 

Thanks,

Sujith H

--_000_96FAA1BA813F74449E9A4D20829E33D056D1A18CEUMBX01mgcmento_-- From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: by yocto-www.yoctoproject.org (Postfix, from userid 118) id 9ECA6E009EF; Fri, 24 Jul 2015 02:37:43 -0700 (PDT) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on yocto-www.yoctoproject.org X-Spam-Level: X-Spam-Status: No, score=-2.6 required=5.0 tests=BAYES_00,HTML_MESSAGE, RCVD_IN_DNSWL_LOW autolearn=ham version=3.3.1 X-Spam-HAM-Report: * -0.7 RCVD_IN_DNSWL_LOW RBL: Sender listed at http://www.dnswl.org/, low * trust * [192.94.38.131 listed in list.dnswl.org] * -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% * [score: 0.0000] * 0.0 HTML_MESSAGE BODY: HTML included in message Received: from relay1.mentorg.com (relay1.mentorg.com [192.94.38.131]) by yocto-www.yoctoproject.org (Postfix) with ESMTP id 7DDD6E00530 for ; Fri, 24 Jul 2015 02:37:37 -0700 (PDT) Received: from nat-ies.mentorg.com ([192.94.31.2] helo=SVR-IES-FEM-01.mgc.mentorg.com) by relay1.mentorg.com with esmtp id 1ZIZQ8-00055I-RQ from Sujith_Haridasan@mentor.com for toaster@yoctoproject.org; Fri, 24 Jul 2015 02:37:37 -0700 Received: from EU-MBX-01.mgc.mentorg.com ([169.254.1.194]) by SVR-IES-FEM-01.mgc.mentorg.com ([137.202.0.104]) with mapi id 14.03.0224.002; Fri, 24 Jul 2015 10:37:35 +0100 From: "Haridasan, Sujith" To: "toaster@yoctoproject.org" Thread-Topic: Usage of already cloned layers in toaster Thread-Index: AdDFDMa0Smqw7qlaR4+UapZPL5lbIgA5RfvQ Date: Fri, 24 Jul 2015 09:37:35 +0000 Message-ID: <96FAA1BA813F74449E9A4D20829E33D056D1A26C@EU-MBX-01.mgc.mentorg.com> Accept-Language: en-US X-MS-Has-Attach: X-MS-TNEF-Correlator: x-originating-ip: [137.202.0.76] MIME-Version: 1.0 Subject: Re: Usage of already cloned layers in toaster X-BeenThere: toaster@yoctoproject.org X-Mailman-Version: 2.1.13 Precedence: list List-Id: Web based interface for BitBake List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Fri, 24 Jul 2015 09:37:43 -0000 Content-Language: en-US Content-Type: multipart/alternative; boundary="_000_96FAA1BA813F74449E9A4D20829E33D056D1A26CEUMBX01mgcmento_" --_000_96FAA1BA813F74449E9A4D20829E33D056D1A26CEUMBX01mgcmento_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable Hi All, Gentle ping . Any hint regarding my query? Thanks, Sujith H From: Haridasan, Sujith Sent: 23 July 2015 11:44 To: toaster@yoctoproject.org Subject: Usage of already cloned layers in toaster Hi all, My query in yesterday's meeting was, let's say I have locally cloned layer = for example: meta-qt5 and its dependencies like meta-ruby and meta-oe. Then would it be possible to use it with toaster (rather than toaster cloni= ng layers by itself) ? If so what would be the extra efforts that needs to = be put. Let me know if more inputs are needed from me so that I can help team under= stand the requirement. Thanks, Sujith H --_000_96FAA1BA813F74449E9A4D20829E33D056D1A26CEUMBX01mgcmento_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

Hi All,

 

Gentle ping . Any hint= regarding my query?

 

Thanks,

Sujith H

 

From:= Haridasan, Sujith
Sent: 23 July 2015 11:44
To: toaster@yoctoproject.org
Subject: Usage of already cloned layers in toaster=

 

Hi all,

 

My query in yesterday’s m= eeting was, let’s say I have locally cloned layer for example: meta-q= t5 and its dependencies like meta-ruby and meta-oe.

Then would it be possible to us= e it with toaster (rather than toaster cloning layers by itself) ? If so wh= at would be the extra efforts that needs to be put.

Let me know if more inputs are = needed from me so that I can help team understand the requirement.

 

Thanks,

Sujith H

--_000_96FAA1BA813F74449E9A4D20829E33D056D1A26CEUMBX01mgcmento_-- From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: by yocto-www.yoctoproject.org (Postfix, from userid 118) id 94033E009EF; Fri, 24 Jul 2015 02:56:15 -0700 (PDT) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on yocto-www.yoctoproject.org X-Spam-Level: X-Spam-Status: No, score=-6.9 required=5.0 tests=BAYES_00,RCVD_IN_DNSWL_HI autolearn=ham version=3.3.1 X-Spam-HAM-Report: * -5.0 RCVD_IN_DNSWL_HI RBL: Sender listed at http://www.dnswl.org/, high * trust * [192.55.52.93 listed in list.dnswl.org] * -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% * [score: 0.0000] Received: from mga11.intel.com (mga11.intel.com [192.55.52.93]) by yocto-www.yoctoproject.org (Postfix) with ESMTP id 3EB47E00530 for ; Fri, 24 Jul 2015 02:56:12 -0700 (PDT) Received: from fmsmga002.fm.intel.com ([10.253.24.26]) by fmsmga102.fm.intel.com with ESMTP; 24 Jul 2015 02:56:12 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.15,537,1432623600"; d="scan'208";a="768862318" Received: from irsmsx151.ger.corp.intel.com ([163.33.192.59]) by fmsmga002.fm.intel.com with ESMTP; 24 Jul 2015 02:56:11 -0700 Received: from irsmsx112.ger.corp.intel.com (10.108.20.5) by IRSMSX151.ger.corp.intel.com (163.33.192.59) with Microsoft SMTP Server (TLS) id 14.3.224.2; Fri, 24 Jul 2015 10:56:10 +0100 Received: from irsmsx110.ger.corp.intel.com ([169.254.15.29]) by irsmsx112.ger.corp.intel.com ([10.108.20.5]) with mapi id 14.03.0224.002; Fri, 24 Jul 2015 10:56:09 +0100 From: "Barros Pena, Belen" To: "Haridasan, Sujith" , "toaster@yoctoproject.org" Thread-Topic: [Toaster] Usage of already cloned layers in toaster Thread-Index: AQHQxfb2MbKWRS2cgk2AvnWGaWcY5w== Date: Fri, 24 Jul 2015 09:56:08 +0000 Message-ID: Accept-Language: en-US X-MS-Has-Attach: X-MS-TNEF-Correlator: user-agent: Microsoft-MacOutlook/14.5.3.150624 x-originating-ip: [10.237.224.32] MIME-Version: 1.0 Subject: Re: Usage of already cloned layers in toaster X-BeenThere: toaster@yoctoproject.org X-Mailman-Version: 2.1.13 Precedence: list List-Id: Web based interface for BitBake List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Fri, 24 Jul 2015 09:56:15 -0000 Content-Language: en-US Content-Type: text/plain; charset="iso-8859-1" Content-ID: <8EB9C5481239B84F85FDF2F7DF780343@intel.com> Content-Transfer-Encoding: quoted-printable On 24/07/2015 10:37, "toaster-bounces@yoctoproject.org on behalf of Haridasan, Sujith" wrote: >Hi All, >=20 >Gentle ping .=20 Hi Sujith: sorry for the delay in getting back to you. We don't deserve a gentle ping: we need a hard poke! ;) Answer below.=20 >Any hint regarding my query? > >=20 >Thanks, >Sujith H >=20 >From: Haridasan, > Sujith=20 >Sent: 23 July 2015 11:44 >To: toaster@yoctoproject.org >Subject: Usage of already cloned layers in toaster > > >=20 >Hi all, >=20 >My query in yesterday=B9s meeting was, let=B9s say I have locally cloned >layer for example: meta-qt5 and its dependencies like meta-ruby and >meta-oe. >Then would it be possible to use it with toaster (rather than toaster >cloning layers by itself) ? You have 2 ways of doing this: 1. Use the import layer functionality. This is how: * In the project page, click the "import layer" link you will find below the add layers text field. * Provide the required information for meta-qt5, meta-ruby and meta-oe. Note that: 1. Toaster will force you to rename the layers (for example to meta-qt5-local or something like that) since Toaster requires layer names to be unique.=20 2. In the Git repository URL field, enter the full path to the local layer you have cloned 3. In the Revision field, enter the branch, tag or commit of the local layers you want to use. You should also be able to set the revision to HEAD here, and I believe that should use the tip of the current local branch. Alex, please correct me if I am wrong If you import your own versions of meta-oe and meta-ruby before meta-qt5 you can also set the layer dependencies for your meta-qt5-local to your imported layers using the Layer dependencies at the bottom of the import layer page.=20 2. The second way involves creating your own release by editing the toasterconf.json file that you will find inside the meta-yocto layer, in the /conf directory. In the releases section, create your own release, following the format of the release called 'local', and setting the branch and the default layers as you need them. Alex or Michael should be able to give you more information on how to use this second option. Let us know how you get on, and if you need anything else. Cheers Bel=E9n >If so what would be the extra efforts that needs to be put. >Let me know if more inputs are needed from me so that I can help team >understand the requirement. >=20 >Thanks, >Sujith H > From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: by yocto-www.yoctoproject.org (Postfix, from userid 118) id D3415E009EF; Fri, 24 Jul 2015 03:21:24 -0700 (PDT) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on yocto-www.yoctoproject.org X-Spam-Level: X-Spam-Status: No, score=-2.6 required=5.0 tests=BAYES_00,HTML_MESSAGE, RCVD_IN_DNSWL_LOW autolearn=ham version=3.3.1 X-Spam-HAM-Report: * -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% * [score: 0.0000] * 0.0 HTML_MESSAGE BODY: HTML included in message * -0.7 RCVD_IN_DNSWL_LOW RBL: Sender listed at http://www.dnswl.org/, low * trust * [209.85.223.177 listed in list.dnswl.org] Received: from mail-ie0-f177.google.com (mail-ie0-f177.google.com [209.85.223.177]) by yocto-www.yoctoproject.org (Postfix) with ESMTP id ADEB9E00530 for ; Fri, 24 Jul 2015 03:21:21 -0700 (PDT) Received: by iehx8 with SMTP id x8so14973166ieh.3 for ; Fri, 24 Jul 2015 03:21:21 -0700 (PDT) X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20130820; h=x-gm-message-state:mime-version:in-reply-to:references:from:date :message-id:subject:to:cc:content-type; bh=ZIZwWFlUJHssFzltH5LBYDz79RW4LkHUddLcNOGOTtE=; b=LVGubUBCHEvVJXFCtONPz+kJVDnh63dJGBuscKVCKuKG91L0lRZNvXthAIZkZdzxpF Q1j1ku3gC4gkLujIukt5D12+74OiZQIwLKHqOU5N9yidBFlNRrNzoK0RPjvLWZF0hovR 4xp6cTu6Ep522Ev/7eqChhsOttTWsPXJBRVNELTcGdIT2OK2V14eMRJU773m2h3qCT9R BKrY+Pxg+QAVLoCis0goBheOYEgv/NGbijFG3avClNMAfgKqHPtBN5cyN8Lo6NgY4+T8 WUQAMl9miarJcflH18Ac6DeGUDzwhMaWlO8WGEuryubj61/2hve/MGN3DG8JiRW2Ue7b URHw== X-Gm-Message-State: ALoCoQmVvOAMDX2FMS+B0pyFz3h4+o5J/bgFJ5bF6983Cg7Tn9rgW1kPqpX16Om8EYALIH6leLEo X-Received: by 10.107.11.155 with SMTP id 27mr21905222iol.121.1437733281445; Fri, 24 Jul 2015 03:21:21 -0700 (PDT) MIME-Version: 1.0 Received: by 10.79.65.207 with HTTP; Fri, 24 Jul 2015 03:21:01 -0700 (PDT) In-Reply-To: References: From: "Damian, Alexandru" Date: Fri, 24 Jul 2015 11:21:01 +0100 Message-ID: To: "Barros Pena, Belen" Cc: "toaster@yoctoproject.org" Subject: Re: Usage of already cloned layers in toaster X-BeenThere: toaster@yoctoproject.org X-Mailman-Version: 2.1.13 Precedence: list List-Id: Web based interface for BitBake List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Fri, 24 Jul 2015 10:21:24 -0000 Content-Type: multipart/alternative; boundary=001a113f8cfc85d298051b9c5d32 --001a113f8cfc85d298051b9c5d32 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Hi, An important highlight below, regarding the use of toasterconf.json files. Cheers, Alex On Fri, Jul 24, 2015 at 10:56 AM, Barros Pena, Belen < belen.barros.pena@intel.com> wrote: > > > On 24/07/2015 10:37, "toaster-bounces@yoctoproject.org on behalf of > Haridasan, Sujith" Sujith_Haridasan@mentor.com> wrote: > > >Hi All, > > > >Gentle ping . > > Hi Sujith: sorry for the delay in getting back to you. We don't deserve a > gentle ping: we need a hard poke! ;) > > Answer below. > > > >Any hint regarding my query? > > > > > >Thanks, > >Sujith H > > > >From: Haridasan, > > Sujith > >Sent: 23 July 2015 11:44 > >To: toaster@yoctoproject.org > >Subject: Usage of already cloned layers in toaster > > > > > > > >Hi all, > > > >My query in yesterday=C2=B9s meeting was, let=C2=B9s say I have locally = cloned > >layer for example: meta-qt5 and its dependencies like meta-ruby and > >meta-oe. > >Then would it be possible to use it with toaster (rather than toaster > >cloning layers by itself) ? > > You have 2 ways of doing this: > > 1. Use the import layer functionality. This is how: > > * In the project page, click the "import layer" link you will find below > the add layers text field. > * Provide the required information for meta-qt5, meta-ruby and meta-oe. > Note that: > > 1. Toaster will force you to rename the layers (for example to > meta-qt5-local or something like that) since Toaster requires layer names > to be unique. > 2. In the Git repository URL field, enter the full path to the local laye= r > you have cloned > 3. In the Revision field, enter the branch, tag or commit of the local > layers you want to use. You should also be able to set the revision to > HEAD here, and I believe that should use the tip of the current local > branch. Alex, please correct me if I am wrong > > If you import your own versions of meta-oe and meta-ruby before meta-qt5 > you can also set the layer dependencies for your meta-qt5-local to your > imported layers using the Layer dependencies at the bottom of the import > layer page. > > 2. The second way involves creating your own release by editing the > toasterconf.json file that you will find inside the meta-yocto layer, in > the /conf directory. In the releases section, create your own release, > following the format of the release called 'local', and setting the branc= h > and the default layers as you need them. Alex or Michael should be able t= o > give you more information on how to use this second option. > =E2=80=8BThe important part here is to recognize that the toasterconf.json = file is a *layer* configuration file, not a *toaster* configuration file. This means that if you have your own custom layer, you should create a toasterconf.=E2=80=8Bjson file for your layer, and import that into Toaster= (using the *manage.py loadconf* command), rather than modifying other's layer configuration file. > > Let us know how you get on, and if you need anything else. > > Cheers > > Bel=C3=A9n > > > >If so what would be the extra efforts that needs to be put. > >Let me know if more inputs are needed from me so that I can help team > >understand the requirement. > > > >Thanks, > >Sujith H > > > > -- > _______________________________________________ > toaster mailing list > toaster@yoctoproject.org > https://lists.yoctoproject.org/listinfo/toaster > --=20 Alex Damian Yocto Project SSG / OTC --001a113f8cfc85d298051b9c5d32 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable
Hi,

An important highlight below, regarding the use of toaste= rconf.json files.

Cheers,
Alex

On Fri, Jul 24, 2015 at 10:56 AM, Barros Pena, Belen <= span dir=3D"ltr"><belen.barros.pena@intel.com> wrote:


On 24/07/2015 10:37, "toaster-bounces@yoctoproject.org on behalf of
Haridasan, Sujith" <toaster-bounces@yoctoproject.org on behalf of
Sujith_Hari= dasan@mentor.com> wrote:

>Hi All,
>
>Gentle ping .

Hi Sujith: sorry for the delay in getting back to you. We don't = deserve a
gentle ping: we need a hard poke! ;)

Answer below.


>Any hint regarding my query?
>
>
>Thanks,
>Sujith H
>
>From: Haridasan,
> Sujith
>Sent: 23 July 2015 11:44
>To: toaster@yoctopro= ject.org
>Subject: Usage of already cloned layers in toaster
>
>
>
>Hi all,
>
>My query in yesterday=C2=B9s meeting was, let=C2=B9s say I have locally= cloned
>layer for example: meta-qt5 and its dependencies like meta-ruby and
>meta-oe.
>Then would it be possible to use it with toaster (rather than toaster >cloning layers by itself) ?

You have 2 ways of doing this:

1. Use the import layer functionality. This is how:

* In the project page, click the "import layer" link you will fin= d below
the add layers text field.
* Provide the required information for meta-qt5, meta-ruby and meta-oe.
Note that:

1. Toaster will force you to rename the layers (for example to
meta-qt5-local or something like that) since Toaster requires layer names to be unique.
2. In the Git repository URL field, enter the full path to the local layer<= br> you have cloned
3. In the Revision field, enter the branch, tag or commit of the local
layers you want to use. You should also be able to set the revision to
HEAD here, and I believe that should use the tip of the current local
branch. Alex, please correct me if I am wrong

If you import your own versions of meta-oe and meta-ruby before meta-qt5 you can also set the layer dependencies for your meta-qt5-local to your
imported layers using the Layer dependencies at the bottom of the import layer page.

2. The second way involves creating your own release by editing the
toasterconf.json file that you will find inside the meta-yocto layer, in the /conf directory. In the releases section, create your own release,
following the format of the release called 'local', and setting the= branch
and the default layers as you need them. Alex or Michael should be able to<= br> give you more information on how to use this second option.

=E2=80=8BThe important part here is to recognize that the to= asterconf.json file is a layer=C2=A0configuration file, not a toa= ster=C2=A0configuration file. This means that if you have your own cust= om layer, you should create a toasterconf.=E2=80=8Bjson file for your layer= , and import that into Toaster (using the manage.py loadconf command= ), rather than modifying other's layer configuration file.


=C2=A0

Let us know how you get on, and if you need anything else.

Cheers

Bel=C3=A9n


>If so what would be the extra efforts that needs to be put.
>Let me know if more inputs are needed from me so that I can help team >understand the requirement.
>
>Thanks,
>Sujith H
>

--
_______________________________________________
toaster mailing list
toaster@yoctoproject.org https://lists.yoctoproject.org/listinfo/toaster



--
Alex Damian
Yocto Pro= ject
SSG / OTC=C2=A0
--001a113f8cfc85d298051b9c5d32-- From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: by yocto-www.yoctoproject.org (Postfix, from userid 118) id 584B6E009FD; Fri, 24 Jul 2015 05:58:19 -0700 (PDT) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on yocto-www.yoctoproject.org X-Spam-Level: X-Spam-Status: No, score=-2.7 required=5.0 tests=BAYES_00,DKIM_SIGNED, DKIM_VALID,DKIM_VALID_AU,FREEMAIL_FROM,HTML_MESSAGE,RCVD_IN_DNSWL_LOW autolearn=ham version=3.3.1 X-Spam-HAM-Report: * 0.0 FREEMAIL_FROM Sender email is commonly abused enduser mail provider * (sujith.h[at]gmail.com) * -0.7 RCVD_IN_DNSWL_LOW RBL: Sender listed at http://www.dnswl.org/, low * trust * [209.85.223.182 listed in list.dnswl.org] * -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% * [score: 0.0000] * 0.0 HTML_MESSAGE BODY: HTML included in message * -0.1 DKIM_VALID_AU Message has a valid DKIM or DK signature from author's * domain * 0.1 DKIM_SIGNED Message has a DKIM or DK signature, not necessarily * valid * -0.1 DKIM_VALID Message has at least one valid DKIM or DK signature Received: from mail-ie0-f182.google.com (mail-ie0-f182.google.com [209.85.223.182]) by yocto-www.yoctoproject.org (Postfix) with ESMTP id DD1C0E009B2 for ; Fri, 24 Jul 2015 05:58:12 -0700 (PDT) Received: by iecri3 with SMTP id ri3so17843625iec.2 for ; Fri, 24 Jul 2015 05:58:11 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:from:date:message-id:subject:to :cc:content-type; bh=BJJ2ph92LsHdAuOcWAoXdSuQUdFr6VxP72/mdZcDIA0=; b=qtG0erXlGiMgIK+IuOPPUNZbH/hGsvUcd0bgfDgU1ozCDW1CzVLWKA3ze+IHJEstCq 9GojiRTsBs+ogXvj5bLY53U/pOnSwcdcRzd5PvtLUxkSz86KH7OHYj7rtGBTt6bszoG8 WcR+OOLYNAwnuhOkTYi0f+4L8AI9mubis1NRh+PyK4HrMzSw9Z2CSEXvQI6pwi9wTGvM ueAW3xGUjvEjw4JosjeYn36Y2lyn32/CgSfOq/CJxxv7n+x/m4OxZ4D9If3JW6Mnbek1 gZun+UF5NPCD0+DJgGev+8aEVSwfoPPLElG0iBI2O41H4IWCv8aR4Y6IjY05ezA9enex Ma7w== X-Received: by 10.107.129.230 with SMTP id l99mr23938078ioi.32.1437742691843; Fri, 24 Jul 2015 05:58:11 -0700 (PDT) MIME-Version: 1.0 Received: by 10.50.184.201 with HTTP; Fri, 24 Jul 2015 05:57:52 -0700 (PDT) In-Reply-To: References: From: sujith h Date: Fri, 24 Jul 2015 18:27:52 +0530 Message-ID: To: "Barros Pena, Belen" Cc: "toaster@yoctoproject.org" Subject: Re: Usage of already cloned layers in toaster X-BeenThere: toaster@yoctoproject.org X-Mailman-Version: 2.1.13 Precedence: list List-Id: Web based interface for BitBake List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Fri, 24 Jul 2015 12:58:19 -0000 X-Groupsio-MsgNum: 2379 Content-Type: multipart/mixed; boundary=001a113ecd606d2696051b9e8e5c --001a113ecd606d2696051b9e8e5c Content-Type: multipart/alternative; boundary=001a113ecd606d2692051b9e8e5a --001a113ecd606d2692051b9e8e5a Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable On Fri, Jul 24, 2015 at 3:26 PM, Barros Pena, Belen < belen.barros.pena@intel.com> wrote: > > > On 24/07/2015 10:37, "toaster-bounces@yoctoproject.org on behalf of > Haridasan, Sujith" Sujith_Haridasan@mentor.com> wrote: > > >Hi All, > > > >Gentle ping . > > Hi Sujith: sorry for the delay in getting back to you. We don't deserve a > gentle ping: we need a hard poke! ;) > > Answer below. > > > >Any hint regarding my query? > > > > > >Thanks, > >Sujith H > > > >From: Haridasan, > > Sujith > >Sent: 23 July 2015 11:44 > >To: toaster@yoctoproject.org > >Subject: Usage of already cloned layers in toaster > > > > > > > >Hi all, > > > >My query in yesterday=C2=B9s meeting was, let=C2=B9s say I have locally = cloned > >layer for example: meta-qt5 and its dependencies like meta-ruby and > >meta-oe. > >Then would it be possible to use it with toaster (rather than toaster > >cloning layers by itself) ? > > You have 2 ways of doing this: > > 1. Use the import layer functionality. This is how: > > * In the project page, click the "import layer" link you will find below > the add layers text field. > * Provide the required information for meta-qt5, meta-ruby and meta-oe. > Note that: > > 1. Toaster will force you to rename the layers (for example to > meta-qt5-local or something like that) since Toaster requires layer names > to be unique. > 2. In the Git repository URL field, enter the full path to the local laye= r > you have cloned > 3. In the Revision field, enter the branch, tag or commit of the local > layers you want to use. You should also be able to set the revision to > HEAD here, and I believe that should use the tip of the current local > branch. Alex, please correct me if I am wrong > > If you import your own versions of meta-oe and meta-ruby before meta-qt5 > you can also set the layer dependencies for your meta-qt5-local to your > imported layers using the Layer dependencies at the bottom of the import > layer page. > When I try to add a locally cloned meta-openembedded in my machine and then click on "Import and add to project", nothing happens. The intention is to add meta-oe layer from meta-openembedded. The webpage remains as it is. Attaching the screenshot for the same. > 2. The second way involves creating your own release by editing the > toasterconf.json file that you will find inside the meta-yocto layer, in > the /conf directory. In the releases section, create your own release, > following the format of the release called 'local', and setting the branc= h > and the default layers as you need them. Alex or Michael should be able t= o > give you more information on how to use this second option. > > Let us know how you get on, and if you need anything else. > > Cheers > > Bel=C3=A9n > > > >If so what would be the extra efforts that needs to be put. > >Let me know if more inputs are needed from me so that I can help team > >understand the requirement. > > > >Thanks, > >Sujith H > > > > -- > _______________________________________________ > toaster mailing list > toaster@yoctoproject.org > https://lists.yoctoproject.org/listinfo/toaster > --=20 =E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0=B4=B0= =E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D Bangalore Contributor to KDE project http://fci.wikia.com/wiki/Anti-DRM-Campaign http://sujithh.info --001a113ecd606d2692051b9e8e5a Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable


On Fri, Jul 24, 2015 at 3:26 PM, Barros Pena, Belen &= lt;belen.b= arros.pena@intel.com> wrote:
toaster-bounces@yoctoproject.org on behalf of
Haridasan, Sujith" <toaster-bounces@yoctoproject.org on behalf of
Sujith_Hari= dasan@mentor.com> wrote:

>Hi All,
>
>Gentle ping .

Hi Sujith: sorry for the delay in getting back to you. We don't = deserve a
gentle ping: we need a hard poke! ;)

Answer below.


>Any hint regarding my query?
>
>
>Thanks,
>Sujith H
>
>From: Haridasan,
> Sujith
>Sent: 23 July 2015 11:44
>To: toaster@yoctopro= ject.org
>Subject: Usage of already cloned layers in toaster
>
>
>
>Hi all,
>
>My query in yesterday=C2=B9s meeting was, let=C2=B9s say I have locally= cloned
>layer for example: meta-qt5 and its dependencies like meta-ruby and
>meta-oe.
>Then would it be possible to use it with toaster (rather than toaster >cloning layers by itself) ?

You have 2 ways of doing this:

1. Use the import layer functionality. This is how:

* In the project page, click the "import layer" link you will fin= d below
the add layers text field.
* Provide the required information for meta-qt5, meta-ruby and meta-oe.
Note that:

1. Toaster will force you to rename the layers (for example to
meta-qt5-local or something like that) since Toaster requires layer names to be unique.
2. In the Git repository URL field, enter the full path to the local layer<= br> you have cloned
3. In the Revision field, enter the branch, tag or commit of the local
layers you want to use. You should also be able to set the revision to
HEAD here, and I believe that should use the tip of the current local
branch. Alex, please correct me if I am wrong

If you import your own versions of meta-oe and meta-ruby before meta-qt5 you can also set the layer dependencies for your meta-qt5-local to your
imported layers using the Layer dependencies at the bottom of the import layer page.=C2=A0

When I try to add a l= ocally cloned meta-openembedded in my machine and then
click = on "Import and add to project", nothing happens. The intention is= to add meta-oe layer from meta-openembedded. The webpage remains as it is.=
Attaching the screenshot for the same.=C2=A0

<= blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px= #ccc solid;padding-left:1ex">
2. The second way involves creating your own release by editing the
toasterconf.json file that you will find inside the meta-yocto layer, in the /conf directory. In the releases section, create your own release,
following the format of the release called 'local', and setting the= branch
and the default layers as you need them. Alex or Michael should be able to<= br> give you more information on how to use this second option.

Let us know how you get on, and if you need anything else.

Cheers

Bel=C3=A9n


>If so what would be the extra efforts that needs to be put.
>Let me know if more inputs are needed from me so that I can help team >understand the requirement.
>
>Thanks,
>Sujith H
>

--
_______________________________________________
toaster mailing list
toaster@yoctoproject.org https://lists.yoctoproject.org/listinfo/toaster



--
=E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5= =8D =E0=B4=B9=E0=B4=B0=E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5= =8D
Bangalore
<Project>Contributor to KDE project
http://fci.= wikia.com/wiki/Anti-DRM-Campaign
<Blog> http://sujithh.info
--001a113ecd606d2692051b9e8e5a-- --001a113ecd606d2696051b9e8e5c Content-Type: image/png; name="Import_Layer.png" Content-Disposition: attachment; filename="Import_Layer.png" Content-Transfer-Encoding: base64 X-Attachment-Id: f_ichmtnmk0 iVBORw0KGgoAAAANSUhEUgAAB4AAAAO6CAIAAADxbt1JAAAAA3NCSVQICAjb4U/gAAAgAElEQVR4 nOy9d5gVxdI4XD0nh827hGXJUbIigiIiooiigqKoFxWMBEVRQcV4Tdd4VTBhjqBgTiiCWZCgIDmD xF3CLhvP7gkz/f0x03F65pzl3vv+7vO9bz/KznRXV1dXV1dV13T3Qd16tAeWMAACZD5YCdECRDKQ BQTA5yoTEv/hGwIAhGV4sVwiQiAT2eGsLBmpApK82WDV7aUh0obE6h1CAFhdijEAsgAxA1KQY3UU mX8RooznyCSF1rhwRewRcx3LhO02fpGqWCjFGBAgLPQCrJHFgAGB+R9CCCEA619AGiCE2CuQIu6B 65XFBvMfXvrIM5/Jeo14JnFZQkK2LMT1V8yj5KhYo0rIhdmuyakim47kQcrEAq2K5ESvMt+1c84A CJGppZj7/28SxtbYO815E4p/knmNuX45V1SUqPltoWNqINPE6R1kIxRzjSEQIJVoFMKfLtlMgiuc S3WThrQC5l5sV1RKnatQ1mImr4L5ARFwYWH4sQyNuVxOq9uy+SdKA1a0YJVzeYxUvkDoiNBVsaaN ny5KRsxCUj4S/1pzyz7hhXK5JuayqDSY9kTyK9LODiUA33mFVFgtCLbS9EksG4QBIUAc8dScEXik AXObWD7FTLBbFo2UICX7JM5zlklppNLNP64uljhtJqoB0qr5//UJW2LBXiVrIpg8hRmBo/UEnCub BkRJaKORO3p+EgkOhVjotgKZzWbZQGx63N6YrZoKj3MdO05s0kNQYT4fi6+Cz4sBARYAbARhAGTC yRSb81HhX/CiIvVOsZKQ5qw4lzHm2CwzmDNHiBcYiYGc4qLUY9aIiuEKAWAVrZWl3JzN4PKlvBep bNHWtCofmSQzHSsDi4qU96IEd9/RoXGE4QwbaUjSJI1NfEUM2LYcISX8H8eRQsKIEoVG5NMGDPxo KMUGAWCH9RQoOS8DCn8VpU5sswpNeRZ8DczZSolyCmQafYwQwoAJBsR5/LZmEZs/bj2iCfPz3Nki YEa2MPvJeIoqweo1Q8g5/7Lfxz9iN+HjQxO0IREAK4qEwIBUxeo6UWqI0yVCTxS8VC5bVFx3rOo0 RKKZxlwNAR1ieptkWxpWaQ4l86schbRCk7FUOSciSERMbaIHdsuDBDaopJ5TaFjwJMVmkY0PwI+y Y7IrCsk3xbYcipqpeNFjJxmAgKwrMI9MbA8wW8lwvcpkNJQEM/J45OQNc8FWLgbItDa2z0PmmCB+ rnITnxoYpYAqOoQoBcpZiIQ/LBML44QkE84F5ug7y0EkyOeVpV3W4BI7kZjlLlBOpfwKWYRRqi+J K8hmvTHYbaYNqfyoECtMMasnnwBqmR8nTSH5Wpzo2aPNgozZiDKrMgWoMO8c/db/kqybxcgl4g8S n6iUI6sRaQWPmb7iyJdNC/BMZfXUHcEyzSrx4MbHFGgjUpJodYZLt/4v/V/KPIX3/+CN7Qd3K9yo ZPddzSnDhYWo7XR0r1QIrBqIvsp62oUGW2bGvbTIdJrEGSBkSh5x7h1vMv8FlltoTWMqmENLV3HZ omEhw0KesW0cGukUInGVwrmAbogQQrwls5BwlbArLcyo8P1xqJEWCVcfE+Ild9AaTTun+AU/8KPu 0LpkDgVd7yoTrsNCpMuN67xrQRvCnPMkJcYEZbnoDqaRZgc3P318QukquSXVJ3taljma/71J9joz mT2yo340yayvQEFjI6LH3kjkmeg4Vw/VyhbfJK0q2aw07WFVCXaW+IxGQl2qWjCCRDMzKAynGEVi kFJUWv5AaHbEcQFgdRzL+ZQjiFt6qL6oCR66UtnybWMuFKXExQZStVgSAdWjZiXTtlOKba0SD8gm jEgCtJekU7HECiFumki+gWPCgBEX4xUlkCJxjgMT48V4pFiXNS7xxorzMBBHBAZ+mN09NMS90aHG SMoSW5YykVTksI7DHP8cpERhcxujOa25LNJDeSS5e2KzZrn5ZUlwcizu2rW4gnFOPaJ+mA0OkTko 723B8h/R3yCSLLoavNfReGXJE+XwYmVZHqo8UOqNH4ShTCpdwnkSL12WLenkQjXRbaRx4JJy5yc3 xScODxk1UGt51r7NfqcdgQwk3nUScS+i+26NEVLy2RaEl4rJv6px5lp3GTRRaCTAtKoGQJoFfKMI gP2DRHhQB76QPMj8vFcoizQiJzcqvSGQv/sgJyG1ZErQlkyQBOJUXiHiB0jJZISQ5JwgigvZkNpt CEeFpbbsIoGtL5G8lVEYP6+AEjMNboC3Jti9JtCt3luS1LIAwGfUhPR92fEN2fF1CFISdY4Kj8vi pqnLOGfyKluD9N8oFN4R0R1IzJGItntBSImN+BqIg6BjKkSf3QXZqdSSDbUHw1rjvCUMlpzRptO4 PiYwIuJEH+x9pfNJVGOcsmboCA8kyu0G1JZsRXY5RpBoOQTV7ANAGDTBfVEykvdRsPnJm2HjRjA9 caSUTlsB3j4dWCnhK7LGCzMnBMiMRnLMxf4q4qeWBUskKZPYRWu7DKeQXennX/n9EnTnIkaAMN1G QCeLC/02rit3HTgQI/n/GJNhBSJ2zpIgYMMAKNZ8UPb292yMorgdtlGLTfBvbo0jhIB5x5z9R3wX HXdd0xnHbz9NM8fthBwFrKjT3ZW+GhEWxc3ZSvNVbMlmBqRCt/Zpu+L2UDZuCAAjjLDobwnxYT46 bCoDDABmFfLOrB0dZ+bBI8w+HDvvrheI4/5k7MnbY+lSwhg7BT05TSIcM8EyFLiqHKpXEI9BNqxI AAYyz4jJtxFot2nK4I5r9yVdwpKgUgAYg1Qyb5o4VSRCMgsZ2DtkhzOVGg9r3/vqltRj2zhd8b8l uQeJzFLpiA9gcXMa4nZ7pfH3MiPJrQQxiEwHNHN6sOOLE6QaSMwVNLCsxV0XuAyhA1vlPDpnHXEq XEbEbQajyp4NubjdBTlhp7rLRhgSc3hNo+gCByw55I7KVmSoaAyEeiIeGR/nGNpIEV+wrUAsJnKK 1NNBzUDODaJOM4/ZwRhxdVXACnj7rmTZmVJobpsFVLtFkgAgqjeOSvsSJmCERWurMJ6QiUIQGctb OMUmaCVql8mqdIRlVYBA0KWOmgwrLSNXKOwHZN6WyGqzyAkNJ3ESHYw/kuV11VW8O+8KZ62gTIQq x46bZ5jRYPPJMf+q8tEUeEW5VfXOVYw4DFykz93VcSGhcY0LGlqqwb+nMV2YHl7j/EVB96haRry6 Fgwa3wMqUyL2f4tjwBoStjjycszRxgPzoJRy84+wQRSpxkftfVJn3WmGumaoKrmuiaZMueWaq68D gJdeevG552dySAQS3Lmc0RjQzxMu0LxJl+0W64wzGUwLMmhLhyFLI4gK39a2e+INmgMZZthEaJxg tzkAVNa4HstOhwyL+HxCULceHWhdKm/Vwe4HosMTnlwlnT69slnd17mJdQDAx1yl3oCYi3h6/6Xk avkwY3KaWc7sFCchEgSzCgJuYO4pT4sgPxKZTrbA/tVTekaEMISEV4leev2GkKlkFaKahaecuP2M LXzHRe0q9AiBbViJJqLmF5mLNvNwhHVEAmkIzCPMZse471fCHRzcFRy0l1xmQ5fLUd0BAA2Tc9NW z8nUMOPMVheBj9AizvTwtAtywJQwY51ZgOh+c0RZKLRBuYQ4fwHbnXq7ylYqcfHErRnkFSVBMr/u k432iqvFQmviHlL1Yd90ZNti4kD6zkDYkReMOMZhtl+f1bb6JI+O3YeyBgFz40XwYy7wqTJvOFyQ vWOunVs8azEdSCEMwRZR7i6GWjGoDLo9S5GcDL7Q2lHbLQqIuJFwqZgOp023uNXAthdFb7ACFogA KPDZ1TEPJ5XSeCbRkmaxdBjEjhfLdRkKIK+Y1sV8MVdKsYpGgiDk25CIEZ/UloWjVvjazh1W5R+o XrEPGFGIyrgd1dh8nsOgu+z8JcpaeGefEq1MM6DPO3OSDCil17I2pBARGMtUYfZMSunBIEYwD8D3 nNltVipaaZlF0pKZ4JDpVmba+0a+sVp6kevx/6WjSNI3SKUNceBv2tMPDi2moQaYrnPGL2VbPeA1 ejoDlAEZCiCbWra/YXWxzFZ+RYQV5cC5GAQXGwlkV5XCm90qAMZiWFS4iANzSpiUcnqe/ZX0rehm yWXKTYR2sXEj2kIDIH6bE7dw2y2C4OwxSKqXnKyv2vyKOYKPxHBx9lA+v4v5ByKerFi2BW6J87SV 5z9dA8GSFnZ1W1R2zgXr0QWgzQ/e5s1tlJ98ojZRUaB8FmYLFseIUw3K2W+TBy4DCX457zfaUInS Zj47egjgwGJrNaYiSXBMEIAhomB+jbjxClFKBMG09C1wnLF3TVqPiOLLJ8ebK/hRIBt72GwgMAiZ jgcWZwOnqETtjkGoLjcq13USZ7YD2r7d3U4kMPVCkcv26CiWKc6WrrEzS2SVhFzAxylPfhu47KDT KiIz3Qz00SVOMBTTCFStIcprUxiozcmIa6wRxNsEnhhw+4RMY1d2ERDJV00lMa3+c33Xrp01j+eP 31ed0L8Pp1VpGzQ6iUgXlUrToRkkSIb81+b5Ie62nsZLIEYguCiCYhANopDhghNj+1KCW2Yi4SO6 4946BoIcR4U3G0jQMuxeXTISBJVZ4rUKSYQdAzqQNbw8dJLLJpCkJ3dP9iWx+t+KY/M5oUu3c4Sp d0Io0nKiPXOjPULBYs3jTyVjdfE9VVWrauq38j209ZlOF5sQY4Uz4zZSRL+rLB7mRYA73MR5MbZt mjwzCJmOHJF1kzMY4v7K6pC+EI2HuZ3vbspYPEUjiLss9CLNXIOcMPP2BfEEAc8QaTHO45IbsQ0H P5UEFWtQ0RcOLyISxMTWBj9BOMzpjuiDoEex4KrS7YqiVHGajmTTV8QEgTEJERoQUNkhQmLtgqb7 ntkdS7xGRph5QxhAA40QTNsXlERaNYgAADRxjllayCRGA0KFzcaRjduUXDP+zq+EEQJrX4JwIREW +iXbMcIrqesA2OKaGP0Td4JgsuVeWrZxhtra0oqE9SSH0JAyyvbtrTh0IB0nrZRf1KRpcUkG09rs JLhdKw1UAjiFbqfYeSJlkJ8BifILr40yaMWFIhft5I5EUPzM4GEJQvJkeBib6bA7RCxbmt7WuPD7 oIFbZFP5F4WeLBuJL26ddGC3hbAiAixMSzt1DiRn0FmW5K5RGyPNPQ6WffUCkFhMTkIQpvAIBK3u 5CqorJdgjRgWa/ryHbNMtv1qKLG/0t0gfJFsfDhrIRkdYcOJdaSNt//21JipKX0XdfMhxDJuPESb +i8f/f4vTZnrkH9jm9yUtieyj4SfvLTmf4IaDm96/HQSixlYAZMmS61Y07RrPaplPk171JdSBfKx 8pG8OSyIXZp0PF4iNY3EgcZuvFD5G2JluzeiIM0BEwctqEwLt80YctW4q6olr4hTpFK/XHsqJrrF QKIg7YirsWUK6I6ATRns7CkzayBBEBkWbIPlXqZVtKaN4u0qEorkZmSWsTmMbID8rWZ2OnjrxkaV ExfqmMjJLuegGDNq/sUDIbZWbbUkK6aOobslBHT3rX3+2zksmnlGMTncgBDdASN6dvKd7kCXTJL1 twot51A9WTm3wr23zGHBUkcQ0D31IlmCK2rvusP8dVBAdkmivrA0L8zjfWrPW91H4YrRxiQb+Zgb jLTAfC35jYkxX9MWqZUcfOBZDwCqadQYoc7IZxNpsgu6aowx799z9LonE5NoC2wViYF2oZefHnJV kIsUlN18863jxl7l8/kAYOvWHWbmhnWbk8nkm2+9/syMp5WNAr8k4dL1EycFg8Gnnn7KmWSeDiSO sE2XKFQ6S+FweOwVY2e9PAvbFiiW2ua0MRKUsdSMxD27TiO6zHwmJZKoc5qeLpYdhk4cM+WwK7Ll 4LcCxGsJI1kHH4ieUx4+SU0EQIvCUCJlHKqMA6Dy0EkAWnHdF6w5e2ucaRNpBb+vsKTpxZFws0DQ G/B7vD5PKFiIoVUy0X/bjlV7D3yoG/V2AkSlDdL8crCKivq2xG9RBbCZYG5yYLF1ilTY8CB4F0IG cx4ao3AlaizNZFMkDJptxBXVI3KWMao9+b2vLjaK6l77CS6JJnPIWPBZOO7NKQeV9SOemtL/M8sN 674HhBFGJy+bvaHzoIrcknisOrpvS7Ri7xp/EwDwhSOhrJxQbqE/HLUQsivp6URF/C86cASQUuBr YK4YIbbr1vI4yBABJwQGAgTY4PqLrc3GWAI2KxtWGIuSisVy8X4ABCDuC8nIqzHJ4GcRGwxZVgyL UmTw980R/gBG2Ow9d8GCAYCsjjN4s0ksMA3RveGi8WSGz6or2k7MBo6vg/iaZESYewEYY3HDuhn7 wtgWgK44dODmKTfl5+cDEWJpiYExNi1KRUXF08/MaFpckskA8GKNgOgcaoYEiUd8/51TYz04F0x2 f6bxTTnCoHQApHELTKUXZISClWaZtqrKBYFMiKSLLKnE7jnyLi4KZ31eAmAxaJtGt6Nl1RhqzKG1 nizPAAnrJJUulZMcglIBCGIgOBlEBQo+Mm/tMbcSp6QJy27HGDQA+yEjNW2qXMkNwC6gRFg4hZ1B EiSCiz6D7BW4JGWH01dVE6nyIezdZVvBXS4Kbpw38t+U/mfJprue6bNTDkdc2qno3NxRlPzr0BnV dZ1fadt0LXTwBMUiZxWXljJ7oROouCWZvjFzw+oSsjC9gEzyLQHIHksXncbpWDfy7SFC9xE2fTNO RsVCVzFlXUAM1r3RjMRWniXqxDZu08+8Jodt/qeTEmP7UDj3XSZBvOBIdDAJBAAwLYxscOCiXtUJ kzsSJdsqQXGEUCmyZQKw+7ykqohT/UiuJWgr6zpPd9Fy7STbfE88ebXAINKc6FMJkJk4MS50imRl UmRtoAHmRIkAklPMBYYoqZxEUAYIH8y4TgmeFB9xV9hwEKYpN5bmUjrdYVexYaub/AEqQbrdUJl1 VTMNk6uplG0qzlxwUEeXbIIp3LbuDqwGo0sGZAPERENzjimn8wUMpmvcGOmVtIuFK4P1ERLexOqq fOq2srnponuEeuLkdaBHWUHI/5ddzcsvG3vRRaPKy8tFvKigoOD99+bSADS7DcaZj5MmTJw0cRIA YIyffuZpgRcOHRDmkYiYs+CqagBjx467fuL1Bw8e/Ojjj7m6MuPorY9OdCPWlqDWQcjkMarsvlkm qQ6X7XAcYuUYqvb9IOmvvcTL1UDVwW7loRN5sJyIDwCq6pLm67TRndftrHr1650XDizZsq9mzY5+ kdTOnPg64DqoGm55MP3+ojYtrgkGonl5wU6dCwFQbU08OzvQvDjrpAGtKir63nNXzvY9r+pGg8QB IMOefuFlBxAnK+8bysKgMAEYQFSvgrlQNE/0lhmKEzjQYLQ457aJTd+Z9m6Zn2uc0xjYFzzl9rvb znngja1Jj8fuD8WNFmdNndjs3WnvHQzQohSUnDrp6tZf/H3OHo0D9nn633pn2zmPvL0z6fOAzQVD RJnSDlGHD9Nsznqq9ZXCn7EnRFqUa4sThN5/zHaBuaksjAFhhA0zcHpaqO70vd88WtlHrzh0u7YD /PDRg3MBof0/LHz2yr27Fm9/fm41zi0+kNOSxhzZ2QnqaZMgPCIBHlmdY/KjH5jc7wEAiO6zJtbd 8jGx2SmrTHCuEMZccBbbBMzEQZ1MsxVCA8mitqjRlg9It9mefaY1MGMIaYU5XTyRhEd0IzeAwbtk CGO6VRkRtgi7BoGskCxRQOyuDCzPVQR0PnLfDCwnjWxg4I+cWvtOiRvBotUGAAJsUItDW+e7h7FR X1//4IMPKaPPAMyNvvLKcfb4tchTtxzKTyzymPkKNuWexM36XXF2+wVPfngwP/NRjyULB024qM28 uz+oaSEixDYPMpOEkrhZv8uHtV/wz/cOdjvh8mHtFzz14SGBnliicND4UW0+uOeD2hJH34RPnMKJ JQpPHX9+ybz7Pq4jkX0Zgy/V87Lprd5++pNYyufnSizTG0sWDZ5wQYu5931cW0zycRI3P/GKs9st ePKDA3nclPEbvcbe2frtf35Ym/T5gIob4ucmJjhAbMtcapBsgUgkjx399GJDxIARcNv7EZuHVLeY r5I7kAl7AchBAdYlYbCxlCtMeEymoPW1SajJ+xy8IFNEwo86Sc4Pa9/NnZCSwloTXSXzQnaiuA// iBd+pbNFnrjOK8rto0FI4g+48BEPtSdi66NChTSGOdyuskyV0f8ldeLX2iSsZ+cs79c1ziJbrThm N2K0SLQuQwpcodgq2cXFwIqnDNA3hkEOHreTIy61gJW5Eiy2QRPPjWRyY0DsJpbygQ69ePOY02gQ iyA7ISIp9jgn5mJTDJENtcM2TDfOcx0y1aOwPHXgnWOO8MlWdCTlSpx/LLtCGIjbJ0E6TQt2Khtz zrPcnDoXy9aL2QjRQgqWPoNEvF7epqSpTdnI2xnmL9KVGjnhJ8qBi37iO6PIylx9EcEVeiQDsAYk 5wlbO19EAlQ4lDgxHWMFNHNSBBgsgvGDgKz/uIAZPZ5FDrggG+NsnZY7gV3KyCRWM5zoFwLF3Cj3 YRYbY24ViUHTEwDUy3QgwPYzFBJ91BAqnVHu3nwlen4EpOnuZPF4YCRnyy82QVZR4USecjiESxMI FPE81RvqHBP9ONioY2rOVgToZEzXMJk91LZn1hSbbUhZrqSNkMQmo4mDt4wgDr8NAYDP50um4t98 syArK5uW/PDD9y+8+JzPWrJZwLz4YG7OmAATJkyYOGGiYRgAcOW4KzHGz8x4mu7oIfSmZwgJ+Zi5 aOL4ibNeelGC7nt83xW/r3jttddGXTDq5im3LPh2QW1dnYiHGEQsNy8dlSV94885iUZQsbWID0hR BuCE1nnye8+2eeiM6Ws0uT9iH3mpEjNYq4RSSg0REMSgEP2XJC9FYID3QHS4CR7ye6Ihb2VdYvVL Z8STRvdrFyRTGAD6dsr7Y8uRYzvkvjGtb5ervgFAZZGzsuOb2G8SOiZetjwlzS72ecKRsG/gKW0u urgHAGCMGxpStTXxaFagabOs5s3a1NUP33fgI6GqqHAtUUYZzDQyx6j1cYKX/Qny10A5rfqdfdbJ vdrkeFMVm5d+OXvB1nqD6Bvd2+7MyZNOr3jx769vadA8gACjaLMegwf369Yq2wNI01JVe9b++P3P q0uT1j5PBKBpSJ56ErsQoqJDiaNssDBQyjHWE6VLP35n3c46HMqSZzZ3Ck71IVfBBGFXF53KPEft YqroibJjSpPCqV/E0SwSy1ck4mCAYQAgMNCpf/2MMe51cuK2n1cYHnzyiLpfP42kdB1SqfCx/a5Z 0ObL0XWd2nrmT/t4Weehm8Kd6M1AmH7WIAfkmYUnesD6Qm5gcjU1nV5kR7PBzDt1La1f0SbCarVn WO1ZQyRc6CZ0kDg4RCuYrckOB2lUyXHXlMI5N/7jonYv33nj5i63PX9t64fHTto34PYXrmv98Nib y08gjdNZQ3khJYvylJFz46Oj2750x2272mMqbWRjmHkfEQ1FA2Acbjl12nljOoSqlj0z6omDFaEC IuUGk3orxM/fVGA2SWPK5KIV4kiRoQQiVJiMsSnXGFiEGgNCYPBGShFB1nUdY1zSsuTi0Rf/8OMP paWl9k3Q+/ftN40ZWO4dmR6+1idcPuK0bAGtduCj59/YXhMM0xHj7Q+AtYWEsdaCQ3wGAtDjpSs+ /3DTrhjOzXcYYWVCGgLN4+F0C+bkM1MklJZUfP+Kzz/atDuWCpau+PyjTbvrcF5+PNyht7ZqU22W CaQh0DTyLU1sB0M4t/2xA3q3bpWFAGmaXlW6cdlvf+wtM3zmWCIAj8er9gioudM0MYMDAEAAHo+H NAcAoDfsX/75hxt3xXBOHp35hDuaursgokbksIONIRJ9vINgRj3lLdjUPVc7PUTOqZjwyld2dtkb 5Q2RRyX3JAp5BaQ4n8x+qQIEd0b2STHBQGDNwxPcuZCMLp/DJLZjIZXDvhIplLNYKFVn8YdspZ0Z NF7Mk8cadZoq9sAR89x4W9qoeeacXFcsjBTux0X+Pe0edZLELI3b9t+XnHaRmoXcM2W3OQpH01e7 vhGQZ4CvMZ+iZUiVV2j+dcGZrjmBDRgUmioTLM7tOrLZJRerBs7+IvgeYjV3epm+crQUTDNbnhJw fxg0c1adB4dvT6RMQWX6kWRiTPQkOCgRJznlEckn8zGAzP6Mk3RJkSuk0xcYyYUDYCdvGJ1yG2yp YAOxOpkJYUh8wIQ/rhXtloNqF1IsYLUjY/QyYPGTAu2X08A4Cw3XqOjkSbzC/F9CA1bSa5/SYiiZ 0WMz4TbxZ0OriUUmscTJELYBi0xgH6yVnGGZLFZLXB6uf5KfxRpy5ay9fjo1afcIkcAtus9Lta3O FZ263OQwQyYoZV7IbBFuu/vFES3BuRDgkGnD49gTDGSdLbckKmsyntxyTN53kolaEycEUDWVYUXO vZCIxKaoEhhQd5n30jOaekKZtFtedOwc7oC221b7ALsmyzxihLRUSqfL7Zdesi61wCTIIHUDbEwd f934CddNoBgAYNzYcRjjGc/OMNnHuqfioLSpmCKfOH7ixAlyAPrSS/9229Tbrrx63KpVq2Y888xD Dz18zvBz35/3PqvMT1UV17GnsMfI8dddeErXQn+ybMUnzz786vIjOmnWCPWa8MrMS8qmnXfLb7Wa dWlqEpeMfu2tM+edd8OCuhQTEx49nfu8HPEjp/nbnzf1wVtO2TJx5L1rGzwagBY85uJbb75kYPs8 VLVj+bwnnvxgfZUOxJJj7CnsdcHE6y4c1K3Inyhb8enMh19ZdsQAABQpPnXcxDFn9imJeGKL77v0 juXJgNmgl0prTbAb/dXBV289fmifpoNu/bF5fsjv0zq1yFq/qxoh6Nwya2dZ3YxJvT9bsm/f4XoA SGi5VcHuuQ1/yjyz8ZA+5WR1D/qaahry+z07th+prm4wDPzHiv21NZX9YXwAACAASURBVHHdwF6v VlZaXV4ey4l2jyX+PHJkO6vNqwFq9N1PPqn2eDlpKkUNkqoT2SV5B79/7tbfS6H4lElTL7l47+Ov rombEY1Ii6Gje9XHUuTCXF1r2ufiKwdUfjP3pXlbjyQAEASadjv9b5ddV/LJq19sbfDI+lB1vJZ/ cte6po1DAAG/XvfX5rgv7BHQ2I5UCQ6gmWSNwVjgpBOE4AHPWJ5elbfk8KIAFJbXLmwwwAQGo7h2 vxmU73acvn6lAQC6blx03+Cnt+4Ov7I+nJM3dPaZ31++6LKPxwUue3dfh+Y1ELIiQiZ6f/GUx8dd USii3/H68GkbS0P5ZuSXfQLgBctUVDRgYTAnFWFAOS2Gev9cWF5kBagRu9/VujcEADD33YmTB97E mbNcT6DBd0+b0SM2f9ot95S2s2aGERo4ZeLME/B3k8dMq+wr8lKZrCb0ml1zn3oua8M+HO2EAJAn AIZBHlLWEUHiPfEBGT0Bp95924weFGH1BxMm/b2szdynns3aUIoLW7OGxK/EvEOX32vAxb5Pzzjp 3R2gRYv7eIwUC8UTNiMh9MywmWNgxZdNZjItislwWB1gbgEZMcFcC8lQ+B8Y67r++muvZWVlHXts 79mzZ69ctUqIMmOMMab2jF8iouSuzx6Y9gUCrdm5d05p9eMjzy2uQoCN3IImQduQYMl/U/lPPGWh IKovK6uONvPa3RAALh7H1VRKRONCzwLJABAKag0HDlRHmwe9qP7AgZpoc4QjTQYMOmHzki21WbpM tZBSUNhl2LCTKr/5+M33t1XqAAj7m3Q59YJLLi5YOO+PHXrIsWWgY8prbATyQldu2hSmYAgaSkur I009QiGWAa0nweFQEkKrqDdBc2Mh5dE1mT0uTXZVqwbNEhe7C8h/J+J9JDsOOq2EMsz7KTaNbd/s yT6aMGYgsRJ7se0h49Dwh04YgPnJln7Q4+atYonCHAV+6ji50tLVGRgTU2olYUFFuyNsAG98IpLB teJu452TKwHE47TBHDXl/3rCqme3hc5/WeL3PvOZIO8O5ft0lKNrq9ZoJhGjl7YiFtWHvdSlovod 2YcV258ywixpZI4rWALHihoARH1w37HsCk9MCnUvc5Ebb5sCBVmXOy7JQbRfDol5PFgJKxDLPfCj AZnJoZJMWcnaW3cp54hgxlScKO7dF0pJT8xqGFRdUugT2WTZi03Joktxxiu+KuZBHJoCYlZcec2b SN4nxm6DpeyVBMjX5kWL/zSLuXWMgrvuOVIpYQ+5xDRDTccdNGcE2tCCkr1KusQrWRD3L7mVGPPN 8KsQc1qpTlZLu4zZPHSlzfLisQiijixx8m/diiAvrIXJLzBMkBwBu+x1udErcdJxLhIClPsrgTBW pQsJiHydLaXTzniZEkwsihOMTeco+s8NiJpbdgc8Uy9F/LhoMiGD/ccqTDZlZdddnKQ7TTfX+UNl WnE6X4WDksVpPekzHJLHVeyMM2o2K212XlEJAYC5yjYMw3x4+eWX/vnUE0sWL/3hx+/4gLJcjUN7 3bXXjb9uvB147BVjMcYzn5vJKLTPL+FqD6F346+bIKFt1ar17j27Fi9enJqSuubqa2+48Yb533x9 5513DRky5P1574u9VPLKyqzDTY4p3j178tBFO3CHi554+Z47Nl867ccaDQCDltP92ttOqatOgoef I8j6T1q+cOf11d2jQx1pcfbtj1/dZNPWIylk7cfSvZ2vuO/KZu9fdcY7m41OY2a++vA1q0b9c7NO 6qE61PSYFntmTx66aIfRYfQTr9x7x+ZLpv1Y68867f7nrq6cdceoW9aWJwCFg/4QWdZ7KQ3Vga6U rjZNw4U5gevPa7/nUKx9cbRJXmD9LsgKeYN+T4uCUP9jCiY8s5ICV/m6SgHo6iNJ+pyd52f9x4AQ 5ER7AgAGMDDUxxKffrxxxMguTZtFd++uPFJRX1FRX344phtGXeJg0J9tso0xkE6erB6njzzv5PY5 nurty79455stdbVGi7OnjAl9tyLU/7hW+Tm+Q79++m1Fu9MHdirIzdJ3/jLv7Z9KjZQRbH7KJRf2 79g824+rd6z4/K2vtsQAwMjuOeTcswd2LvAbdXsWPvXyr1q7s/52wQltc7w4tm/ZF2/OWZn665s5 GyLRUF6et3TVb3svOKdJUIe4B0BD7UZe3mblR8u7je1mauhA7imXDTrw+pNfxrqPmnp554hh+ML6 +tcee+55/30TBvw287sjcdYjX7jP1VOHlM9+5PUtEPEVn3L+xWcf39RTt2/VklLuGo3sHqdfMHJg +1xP9bZlX7yzYHNdA4cheOzVtwyueO+x19ajTsOnTy6Zfeu7B8NQNOC8UcP6NPXE9q1aUibGWGwp 7Tk8+1qCSquUr0riHGCb2OT4smwKkTA/RBXMn+M2AFufWItSdSVdE4naIE409Dw+DqAd1z8OAK23 w1/ltRhAT6Yenee798LdnU9uNnjtr58XDiFOLAYMUL/33jPP+ruG/O2vWPjOCS+MvHHuQQMMI1zc 1R8wiAWTjmVxngLzh9n+DGwET7j03DFLFi46TPaoGgSeOEgYgG1RY7wmrXAlAIAMBEayZo8x4NyS rFmJKuQBgJSv8LIuVbtiYeQLgpH2OAJLgXCwdHvFwexeYOpNbGAroG8A1gHLCowMBoABGkruffPm M57fGTe74Qlmtwvv31buze7hwTpjrN1hszB4o0WRZOmOuua9o0jz+P3kOm/e9+e2ItLoM2+ALQcO sdGxmUH5WfXOlRg2ibVSfX19OBx+4okntm3fHgqF7JugzX9JYNqiBCFo0bIVABzxBDHgQCjcLFoI AKlw535DTzqpTcRbs+PPhZ9/v9tbnSg89epTtS9+Cw4f0T9v7euPLm0zaVT0p7WBvj1KcrMC5Uvm /5wqGdirY15Wlr5zxZdfLqkI1SWKBt1wYZsP7n6rvPep15yZt3xDoEfnJtlZobo1v37x86paf0oP 5PUdOvK4Fs2yfFCzc83CTxft8jn2nUsIQEd5JScNGXFc82yP0VD6+8IPFixv6Dpi8rDAWw/NbygG 0Oq7XHZvt4+fe7+8HFoMun5Umw/ueaui96DrR7WZ9/j8LpeO6xoMdbp9Ql3Zijde/REKAWPUYsjZ IwZ2z/cmy1b8+MUvq2JBgID/2DMHHXxj5kKt87k33tXeZxi+sLH+nRmvvOi7fWLvla//wRPlQx3P u/Hk3R88PW93pEQr6nfm2X2PK4L60jW/HaDSAKlw5wFDTxrQJuKt2bFq4eff7/YKGDqPvOnkPfOe mrvJ1+v0yZPazLt7bk0LI7fPWcP7HdcE6vevWUJ+bzIOJUOvHdll+T9fX+1PWizhJ4B9acdzT74Y jv+9Em6lwX/F4MCBA1d7cUgqFW7uZwpEcuWQPCs4r4PVAQ4PAq4KFgFdVmKYQEjRVXOO0CMkUnW2 wkFIRqVohqkWnmrZuRXzuR97kAlGwDmVMnVCvzG5n8pxAeCSENESXDeQWGwLGx9NwJjwxGQn38JR IPtPpqNaqP2/Sfb9XUwEqTRgsPXpKLvoWC2Nv8aSrCYc6yqIzqAtJE49h0oZHVAkT5zC4aohkUKb xmR36dpW1MKQ2bffSYQgsIcOFAoacwOOxXxpJWdCMGfFTrudnEYOBFZjYZmiIhRosjXgOKRSc0It piPZNz35NAhW0iMzz6VdCc60qmr6bDkYgO1GdcApkYdFAOkPL7P8SoUFn9NZB8WocVWQDcCGTKLX /o2Dr63Yrmf5GCr/hafIKSH2L9mZ4txffj4SMeGWgjwcAoVM8BlKxmJiRsmUpGNlfsCW90UyCAxE gfBn6bnQHDk9TFZnVMlAOv5gyXugqxTyxnmCBEzus6BUiAYxc/htAg5n2AQc7A+/I5t8mWMSx+tS jkfy2QvH0XYYNuEEK3nmWnDhKBIB0vHeZd4pqvIaxXkyEOXI1RbUqijVqh+EAVB9+6fyzOc7PYvU uCdpFERemzmIh6OSbquEJWVG5INd9mO+swPGMpUONpcxUnmyQ6bFlE1TCM0A9CuvvPzY449cMGpU Xl4+kGt8+O7a0AIAembGMw8//DAg2LVzFy1r3bY1AITD4Ug0smHtBprfrUdXbnZKvWFP1107fvx1 4/kJMvzs4XfcPn3E+eft2LH9l19+HjjwlMLCwkOHDq5YsfyEE/r5fb5EMqFiD7NrVC+EU2tfe3hZ OBzMyvZuXfTltpsmtMk2oEYD5Akcf9PdPX545uv+951EA1Ayq+Oe3vd++ACees7j2z0A3pwL35h3 yqsXT/7+IG1QutIDIJWMHdj23SOX/Vh+ybwTWltdT+FAfqB269pdWlYkUbpuU7W/pT+VCvS+5e1/ 9vrs8olzykLxta89uDwUCkainm0Lv9x208Q22Ybe0OHSq9otf/iCr7anork5YKkRS/bYWeMGH/vt rFXbKgFg3NA2oYAHAP5xZY9nJvY+p3/xI+9t6tQy+tjcTRt2V7OK3hbCbQkYfFxibgW2/g36iwHA 0LHf72nfsaBp0+jq1WXNi7NOGdQmmdTr6hL19YnaRH2sbnOioRhUyUBFfS6+pMeeN+69ceIds8s6 jx7bN6IDAPI16X981adP3D19+hM/R4defkXnbW88cPedt81YW3La8B652DD0+tJNP8978ubrJ13/ jx/8J4w8o5Wm61rz/mMu7VPx8T9umTh5+qNv/VwaazJsdO/yeXeNn3DDlH/M/m7d4YTH68nNy/L5 vAAo0qpHs4bt244YAKCHeo46v2DZm1/+pXtMFiR8HYcfe3j+t7uyhoy/IOu7Z+69894nPjmYlR0J oQO/r06175Rl6BY/MMIth08YBguff3sLhMHfavBl57ZaM2Pq9ROmv7G1uEeuz+pskz6Xjum55817 Jo+/Y3ZZl9Hj+kZTFIPRYvh1Q2HRC29vQ2HN40GAENJSWouBl5zTau2M2ydPuvOtbc275/iYaMnJ TZXZNK3t1a5smCRwT8w1QEzt8SnNopiaYKrsuIYNoiKNVLIhGgUwEuHCOMbeeG1+0VljVy4NlD26 3KvrEE+mYg07qvPjcdxpRJdW5fsADAADQKcP+Z3653bo5wkFMGBPpDC3Q7/cTicGS/pMnnrd4jl3 r3z92hdH5RZrKQBdTxrdhp0zd+atK+bctezZUVO713uxjlF48MWjv3nrrpVzpn9//0lnQFnP80c8 eXJO9ynPffP0+WO1P8HQtezWk28fv3TOnctnXnBL93gApxIN/pueGHNNi+x7Hr5l5eun9Y3tAKwD NgCnAKcAUoBSgFOAdes/LbXnx1+rjhveRzuEcAphXNC7b6s136yOYcA6gA6ga7mtJ0+9ZvHs6Stf u+rF83OKPQkAvd7f+Z0ZE799duK3z9+ycvaEqeHV8UTgttcentl8LWBTLA1k3UFh6Emj27Cz359x 84rZ05fNvGBq95gXpQBSFlXYAACMU7kd++d27J/T8cTstscm4oHbX//HzObr4w2BKU+MuaZF1j0P 37ry9SF9Yzu07NaTb5+wdM6dy5+94JbuDVrc6HbG4KfPyw/1n/rlrHETo5u1nDaTp127eM5dq16/ 5sULcou1RDJWqbUY9N0rQ4cFygHjrF7n/fzioH7lv2A9QbsJWJdGkDwc7X+qKzhMu3LZZZetWLHi qaeeOmvYMMwl+jHW/Jfz7SxXj/5KIU06FB5zzpCee99+6Lbb755X1fa8kcf5awAAfMUnnVOy590H b7v7vU0JD/I16Xvs4a9mPvL3B2b9FD199EVNdr3zxIP3P/TshrYDBrfMMVLArrYA5Cs4tmvZFzMf vf++R989fOyQAeEQYEOvK9308ycz77nl1rse+yW759B+LYD9uCuy/cfPuLqsky7otv+TB6beNO2+ x+ctWXvIqkhuqEAaQtSCUDI0BADVWz57e/5BOPDFY/c9OGtBuR8AAAXa9taXPHvXlNue/Kiu7+kD wiFs1EOrYT32LvrxcGjQFedHFr7wyGMPPbvoQCQ7NztcvmZzok2baCpORgDFCwZeeWrdT699sjtU DL5WJ5zXr836F+6eNv2e2fuadY36LMYWdD1nSK+9bz942+13zatqRxlrYig85apTYz+++vHuUDOv 16shQJonBc37jzyx9frn75p6xz2z9zbvZqFKxsr3bt2yaW9Nit6sIixjBI3F+Tvs4npRp4kX2ou1 iXp0PA1pAZDtl4j5rIjHkUGSiaJIsNIWYKDHNei7+MyVYfopkEJgDHKmhRFjWp6RQ63qg+TmIymD Um4+YGB0ODQrlMtWxzlxeIS7NhxgxXiwCN0YI50usifw6eh25PxvSUfHHOrSyCtGlIHQZIJblVSr MydAxWNjmkpHB79msZXIqsMBhEeAMF+FX/G5JIxJTMYeXqAT39GZ5WhREsysuZCF1REGmvjbJjmd YEeu0rlmPEkwytixBkb20KONtZK6Uyt6Xl0498xVlLDYkiiBaWqSlH4pQDjjFgJTvCJwpoE6bGqc WBoAkZ+C+rdhaJRqcdibjxQWy44XZTqGPLflDwWsJt+67T/hETmMhUSB28hiGQIpNF06VtpNr2Vt EXIlhYitXeNQmUEg3CemREOLeE+Dg8Nuo8I7DkpnjpDCaSRyXpSfcUhqhCkQblKaNoveKGWhFlwR p8FCrDdO5faEBecM2Ssra4l+HntIp0hc/lPUliecs+3GpCeCfCCuJnfxsIpIIb7twuB/R6KEqvoj chbxMietAm1z0KExq9NHTbxiupBH0gGTxXSn18svv/TY449EIuER5400DMO+ypZRWW84HAkXNSkq KioySNJ1vaioqKioKBKNIBLdNlO6/qM/Vqz8Y8VKM/rMaECQTCbD4fDpQ87w+rzfLlyoaVrvXr0R 0jZu2uTz+Vq2auWM0vqXLhM8Hk92dpbX6wVAOV1OblW7ZtUBHQBwzuBpU0q+vOeVjSkvtzh1mL90 gBHwgV9l614vrl3z7eoaH/9x1RNf++q7pafdf//FAwaMnn7fGbtenvVng15/aOPypSu2Hklhw+Px ZGVFvV4vQiib0GnkH3dC7sHdXe96+cOvPp73zhPXDiimW8IwaHTgk1oWpaFZfhAAwkFvcUEIAPp3 Lbjpgo6zp/e7/4pu551YbIanaUpqUWngQ1EIRiAUhVDUaocv17QAAIy8oMvj/xx2+dhjzzyrY7/+ LRPxFEJowMA28YZURSylp7YlYk1ysporeAOQyOo5oNn+H37Y4snLatixZGVd694tfRoGBPrexSvi 2dm5WQ1b9saNnb9uSwQKC4KlG8twdvMg1n0+FN+14UAqkF8QPrRhw5FAk2AqkYh2P7Fo34L5f8RD 4Yinrlr3J2tKj/ja9+3boU2hL15+KBEKA5kgeqjbeRd33vPJJzsNnwF53c4/J//7l38o18CKP4OR 16VFzeq9qdziY/IO/bZWz80J5zUJpmpTgDTN0AFha6tpKp5z8hVjOm15/YVfjng9Ho+e3aN39u7v ftruy832HPnj27Vx8+h6MrvXyc32//D9Jk9utGH7kpV1rXq3DGgmhuyTL7u009Y3X1hc5fF4PWwo o917Z+/64ZcdgcJsX9UfC9fFdTbiro6ozVtVADhpfz7ffk6VGz874owXQJyJZu2akx4Dxh5d9/qR NwgNdVqwdwt/rxyvb4PH44kncUM8Xle6H2P0VynywcEIlGfrbHOrnDjcOuSOmXbhoI1Pn9JvaLvz nlp17NVPD6n1G4Yer9q69LO7rxzdvs95577nGz3plGOMSqPJCXefWnbP8GGtThg14sGPfti66fsn HnpuR3LjM5P6Dpvy7C5Nx9mjb7lw8MZ/Duh31okP7jz9ljEjwoexgZG/9bgbui6/Z1zXwQ8urvcY ho4NHRsGNgxsPmMDYysTAOEDP314sPMlXeLIMFLJ4JnDs3/5YEPCo2Hztggje8ytowZtoDRf9fTg Gr+hx7fMOXvYpcefddX5L22t/uvbD3drWMcIAHmC2LCGhT7oDZVbfyMdfN83euLAY/QjHFWGGVsy yQNDBzCwYWILYMMArke/1DcbfTPf68vOD27/8dn7b/68Irb4wZOHXv/YzuIx0y7kCL766SF1kWCk etUH05d2mnpZkxx/yZ0TWv748ItLgl0BaY4D9y8nZZzGLHr11VeLi4vr6upSKV3XdWaibILDuXcI AJmJnyWxYIcBTff+8svucHFJas+fK+tad2ua0gAQwpW/fLUxFswtah4IhxHopUv/hCYlTQq82/br eNfS3VpBi1bND2wpN7KbBvQETyQCvXTJKr2oRXFJwZ4tVSi/SSCVCAR8uGx3pb9J85bNyzdvrQwW BRL1YEu8Z0bNV7xqX6W/3fHHt+1cUgD1CZzN303jNmU1j7egsAgBIKQ1b9kmr7AJAEJglP70U0W4 ebNm4fWry1F+kT+VSEZbl9Su2Y+aNO0QLl+x2VfcKlrYIqTXpkDzejQdkJ5KAQDgVH2034UjCnfO eXNZfZ4vEKgPtu2dvevn30qzWrQON2xZtNH6fkIYuyfcvKW+58+Vda27N01pFob+F41ssnPOG8vq c7z+AFVQDaH2vbN3/fTb/khxSbB+86INhg4ACIUCNb9/NPurv3yYuxJaHYPmd/QS5xqxEmBrF5VS RPTuPFNYrL8ymO3R2YG1AWBBqu3LLOAbRNb6CWPHAJLTOkBpHtQ2w7ZGwwI8bZz+KyPEFAcpYxFj YbmFMQh5YqtKegGAt1YuVk9MyHLFVUnoAbbluzXg8HEhM5rSIPn/T/qX+tfYyuKqju0gwxkNaNrE q+KM5U8AS7/YzpAOsgKzBwG4H1VxwqwINYid4ae5y9SRApsKMlW42bPYAxm3pXIyYLRJCZbmr+zM Cr0WJcJlSFn7vAbkVZZCVzmynYvFiboTO4bBaIHzZKDbiAS9a7Zn17SOWBiIIkDiPgLO4SEBBWvC DHypwiu2tvhKArSNJJkEGx76vzpxKyHBsNN4otQGtr3akl18VW6ErRIW57CE2ZHbzrEtCcqWw9Pp KIvI9q8LRabrpDi8ZCYql+pRlPw2R8qpu0FfVCjlioxcblgR1zXyn6gzZD3Oo0Pk45a5XhFapj3i RtT5gDPdkOvUnLJrvN2zYXSrilRQbF1kFz3+gfKHz7eNUlr71lgDaPuyopR3c7JzsoGQK7xACnKF YvPFSeIk+kRUacEdyVLnuKp2xxLFNEHWMplbGyvhWYMWlLnN67XXXnn8iUcjkTAAjBnzt5atWsRi dcorONSIEQCATpJhGFScMBYC0Go83CQ2bMlsaOmypYZhtG3TBgD27t1jGEZRYREAlJcfNgwjJzvb RZbUJQhw9kmT7zhh87PPrkn4sNZ08NSJhe9Pn7MbI/ZrcBjZhZZbCIp5TGJlFwYgEAh4PEKc2us1 9i1673t8ypgb77p5UO0Xb361HwW8sPfTB2595tcqgy2TMc4eMHl6v83PzlwT92pZxbmBDif6Prl1 xJAzLnl0fb977jm7wEPGlT+ebKVQwHP6cU1VDACPBx3fKf/De098cPbG+95ar4QB8QqOrFyfKWLU adNxvQa+04d29Hq12tr4rOeXbdxwGBAYOk4m9SN1qfzCw6s2lffodlpN3WYlfhwsiHpbX3j3jJEm VT7jQMiHADDo9TEdefwohQ1DT9Q3aF6PDqAhjDUEGGMUbjXw/DP7tMlBKd1bWODdhzFAMC+sV9Ya Xk1DAMjj0fQji56eWTtyxPhp59ZuWDTvy2V7azAAgB7oNGTc6DYrZr7wZy0KRwK9Lx6Bvpz5a7kn wmL32BPyJWqTkKg6lMjt0Dy8tyrStWeR/0jY6y/s0d2/5fUq0AAAo6yel4zywO4vaxLeQBAAjEBO SK+uNTygQSDgqa2oM3K4zt7zLOksPhDyIgCMsnpcMsoDu78iGJjV8eeE9Oo67AVAwaCntqJOz5F1 AOeyI1nDSI9254old/cDIUngOSSKmkgs5ICIjlbVwwYkY9hIgp7UkynAfk8IrVh0RFtiYIho2sEb ut4VWrsOYQNSDbE4ahFYG/Q3NIQOIB1w7LCack8CQMfxKowPG3ndR5XsfO7tFYkmHSPJ8lde3XbV DceWfPL9NghVrNlZGy3KbRHa8cvSsmt7ZNfurt+z9WDorHNPP2bHbw379lV58ltlQT4CACORV9JR B0j5ml/UdverNy1PNOlYu3LB11VPDm9zaPb+HKTh3e+9+MV+vy+/JQCC2CFHpyHpRxi05M4vPtx3 3YiOhcu27MsbMiq8eNqflVcgDKlaHDtk5HVT0txQ0AwAjJw+T0zKnTvpjW2oBMerATCkauwPXqiv WLPD6uDPS8uu6ZFdsxt7mlEyAPtaXjXr1yt0AMBVv4y//MXfoAsAhlQtjtfwPUrl9ZB6fW6X+IeV 7QFjAD2neVtP0UAlwfXBwMJHnxr+/q0v3o3yFz8yYmk9yks6jtq/I6FgHv9m/jGjzFOmTBk3btxb b71VXlERCoWoQsPkk6xpe6TT7kq3SvfnRjytzpv24NkAAKB59fKQpgECSNZVpQKRCAAgXcOgxxuQ x+vDgAxDTzbEPYGADuBBCGuatFkbg97QAJrXB6AhQEjTsGFgFC7uN2hwj6a5KJnyFuR79hgY2+aQ p779hXedW+QDSP31/kvz9tT5QwAQrlvy3KzK4WePm3Bm1daf5y9aHyuLK/qSQcIWeTGs+f0meaBp 2DB0ze9N1OmaXlWuZ7ctjFQFUccORf79IY83t0v7wPbvazQ/AGCU1XXU2R7YvTCGg5EIAOjeaEiv rtdCgCAcidRVxIwsAADDYuwDlLGHQxoChFFWtwvP9sDub+twIBzhiTMIKgQoHAnVVsSMbAAAr9eX X1gEwMc1yagiOvSkh/z6QboelPzDFSAALNy+wQB57mLgK/OXJioCO27J+WQhRUS9PIc1lUW4tIgQ HTpShOkP2iP3TLZMZ/6Q4BmxCAJwvMLWK734EWP7TKPcS5cUhqdfuQAAIABJREFU5yLFvpnNCx89 +RakKmrb1ojZYseB1T9A7/aj9DyZzhj+JxISpaSxK8D/8oTJrdBizIAPMfy7e6xGmVkMIR1iVXXl z96BHOdQ1HQPZgildq+TPCGw/XiduhVVsQsFGAs//Zxp1XQ3ajeW+Q7alpQhqvds94KAE9tJGcc1 p3tZHXKVnZB1G8bcILp9duMMGe/b0+bYa4bMywTM6px02ZMKjHthETYFQdwVe3RqUxDuR8tBMCeu bJFByH1zjvwnTTn3huc37ZXtSy9Pus3l4F8pDv54OwN2snU2yql/IxpV7kGkmnOfMsCPAIG8xVls U/0Lf0rf3EwGI0GSWK4gHU5eDFzaYvVENcjDIA7KnkwKEZZyePIddKj8ZR+UXM/YoXGVBmGkuUyO VluF9JkqIXGRS0evkL9C055knSAKHHFDaSHmNZ6IiBPxRnhkPDIHmyFp7vRDgcTPF4qFoa0KawwD m/8IgFwims4+qmjD9ix749TBN52RWS+9GImEzIo5udl9+55QV1ur9lMU2EynDRTxZQxSvpsbhxk9 9lRbV4sxzsnNBYBEIoExDgQCCKC+vh5jHAqF2dJOoTSwjBkBjva58vHbO39z002LynEgUnDW9PHa K9d/uBcCUUpPJj/MS6UOuUwkRG+sYvTh6Il3vXJr9IXRZ362L3z81Y89Pvu2B694cmWDJxIilTEA QNbxVz95e5evp9y4sBwHggZCqG7Jy+8urw9HQskNH31ZdtHALtlfLD4CCCEuAO0zahKePADo2jo7 J+J2TyhCaMr5HR96d0NSxwDgw7USgM8nVJdGqL5+ny+aPfe9NRMmnVAfS+7fV+vzeXw+LZUyyqtq d5VWbt6wsu9xZwNAfXyvkgC9tjyW3DLvrieW1bDMaEEhAPkJMdq0SIDefOR1w7O+fvzhRXvjntaX PDS1NQAYscp6T4ecgAZJi4uBoDd5cOncGb982uq0a28cP2L/PbN3QSrYcciVl3Xb9OKz3+xCkUgS Fw08tUNOQds7n7gUADSPB8H4e+/Z+N7ru2PRlnn+Tds/m/PH2KtuuCF+YO1XMz469uLJt2v7fnzz nb1GKAsMQCj51+x75zW/+daxZ+6c9f1+3YPrK+s9bbP8CFIIkBbIDmoACIFhdfbxpTWmYFidRSi5 a86985rdfOvlZ+565ftSg130bDRU1nvaRH0ABgbQAtkhtw33znOWajSFYRKtcFqnHFkiTQ2iu33g kRPXTijhqptXcGAMGGs+TzIOvgi071JYU1p5pL4+FS+cue7BnJHtVyfbPL+9ZyrW0LN1vVa/s3p1 g4ECjseSWWAJQygvW68sx1EEyOMLJCqPJHJaZCVj4Ms/7qIJ1w/t1ESLp3zNSny7EDa0QwsuvfbI 1Jvu+vqGmkVvv/7o/MMH45jHiSKF+b6OD3z65d0YAJAviDdHkIYx4MSh0gZvpAkH7M09ddI3t3YO AsT+/OfI21cf9Gcx2hAu/Wn+1uvPOzX64OIhJ3m/vXub1tTinwvN3qABOWddf2Hzz++4fldUywlA Sjylzj9AyN5BgTOQLHv/9tGv704A4FSsPhWGCI+E9UiLFNl77cmAycgbDKHSF7+MzR8HL07/LZbT BWVoY4462a7gMLc2I4Sqa2qeePJJv98fCAQSicT3331HYU4bMoTfAW1VdGwDGbXl9Sn86QOzltcy Sc5tbrUnNW9WoXXBxcpj2YeK5Q2efLqx6Jmnvtuf0lpedN+NBapqetWSFx7606shpCdq/KF889r+ SDTsrd302Ssrvmo+YNyEMcMOPPnW3mKMkcdyvTzB7IAHIae5zNFN/DPCWnI/Ohi1B2PRFrn+dZu/ /nTFxWMv71p/aP0Xz39+/KhxVw0o/WnOh0dwfktIAELJvR88MrfpjTePPnH/3C1l4IeG6npPbsRn Itf8Ub+p4vTaivrU1k8feGkZZ5TymmGEknvnPTK36eSbLz5p3/sbyzD3ywTxqnpPftRrrtS0QFZA 1paikyCuwPlszsknqz7b6o4uMBFIMWjh92dMHFTYTU9PsSxwlDGCg44D/5OZHByWKqm6zneRPhMn W3BRKAMQt7UKcYiw8lZoAG7VjoU3RWJ85TedKDsl2yvyIC9Q+K1AiP/DglSK32lXJqFnSH517BE1 jI1MTtFzG0X/YbXpnByl7T/Z0P9kwhgDINU3nqOhiBdUYfbhjEYyTZMuCynXukzpZdKKQ7lwlQ+v VNwqSpET0cK6OANqhcASUucr2+Hy0sTESHHakWfiIpl7sxUnMgQdSWTCyRkQULqS6yhdphFD3E8S YEEYnJSanfmYBDjk/rqm9Hx0ActkNS405vir505MpgzgSxGXibh/bHUVDQG53xfThjNNiHGaR68E TIcIpP3EpoLjJRuzrXaZaDnef1FHDDFvf9ORLg4OHyMSWGn5aOliW6Qq6TC21qtsv78jCm6+IxAe xAaI28f3XeYDV+zmUXOVeB2WgaQI3hAi/qnssKiUKnFQuAN9LqPuJNkZJbt08PIslYp6UEDigj/T hlmzvBJFQikftuZ1kbBeUxugTOY2Fh+UyJD4yF+D7M5zSfrScEbULxxh/N3DDjgknoCtY64tm3AE uymfS39bHo1mbdmy+fKxf2vbpt1jjzw++cYbsLxYtjUtutmKADQCpMx3Jk+JBADy8/INw6gorwCA nNxcwzCqqqoAIBgMGYZRU1NjqyJ7kLxLaUSPu+qx+/ovm3bDq+uSoXAKtRp+ybFNmvd47/vbAEDz ejV49OPPlj9+xZRFNbZdxRhjrHk1k4Pe7KIsezxQ/HEEWXQsa9b6rFPQT7d8ty+YE6pf/96Mby98 6fxOM/9Y3cDt/jGyjrvmyfv6L73t+lfXpYJhADAqth/yDCnOCa6tRV6vxxv0Yj2ZNDDyaMD/CGEw tc8MQLcsDIFrwhi/vWiXGX0GgGByn0R3kO0wU0yCqtrV2dFjfvlp14Gy2iuv7vP4U8M2bTy0Z3fl ihV//fT7wSNlv5184vkAgAFX1a5jjbKfdQNU8ceSQ4PPPee4qp92lONIpKDAe3BHmc7B2thr/qv7 IgGjLtYA+U3algw8Ps97CABw+arlFaedNqTr7u+2VWh5ecGaQ8lmbXMOlFZ5a6sPlse1QtD1QOfT rry855aXX/h6ly8nFxDo9fu+eWzazz4NAWDw5p9y8y3HLHjkxT8OxvLztAkDWvxwYM+Wz5699yNd 9/v9mrbuH4vjHq8nEo1YcWKsx2vr9i54fWHPqX8btP65Hw/HKtasqT110Aktt/x2qC6717DeYc8e AAB0ZOXiQ6ede06fqp+2l+Mw6yzWE3V1+xa+trDntEsGrn/h58MNtLsVq9fUnjqwb8ttyw/X5vQ8 s1fII0XyBVNoNzj0dyLkSoInobiwVKV/zCNDohPmrHsdTa9jFfojhNio94XqalO+ICpqXp+q0fKb ebRQPOiPr999oN2fO4+EmjQNHL53+A9GhV7xV/WOeI7ywl8Rs5GqLKv09GkWBkgZAChUmO+vXluV MlCHc2dNyJt56VWvbY75u93087tdARvBrJz43hV3XTP/0c4jXn7tjru2Xj1lbRgTVACQrCyrbFh7 99Dxn5Yz7kZbtgWMsYFFehK75t4y6OsAQpoRP1LvbebxWbczm7R56ta/vfGaiad2bnta8vMp+3Vf K6vUmWbwQE6/C6e3XDhh2mY9uwPQgLLqAbVWdJCj0ACAZM2hGMqOA4AvWwt6weCQcD1S9jq/dR4A mAPnTLChFQ986ILUgu/RmLtGfHXv+r1YcWjj35kUImH5ZJqmBQIB0wnTdb1fv34UIhgKAYA9Bu3U hrdm3ZLD484+q3v971VHICuQE/Ef3lWqK4EbF/USoVFSCwSMw3Hd37x1t7z+PXNNRWDzfYoKcswH XzBsXuUMgBp8uW0jFQeDwYqGqvK4p7kR13Dt/rrIacc0C/+BKwMdzukV0CrURCKUqG3wRJvm+Haj JPermJKb6KvetEo7p1/RykOHyr59/emvkolgOKJp+55aUePz+XMLmlNtmYw1HPxp3sJuV488btub qwBVbVxTe+mJPXP+2oCrwh3O7uH37AcA8NasW3J47Nlndav/vboCooGcqP/QX6a2TNY3HPh53sLu 15x/3LY3VkGMUlG5cU3tmJN65+1cC1XhTuf08JmoUrig6+n92m39eOHuQAqsFUQKCrud3q/dlo8X 7A7E80+6oH/12gW/b0vlNT9pyEk1n89fi+N8VzFYGyW4tRuSNx6wbGuPM/EylX64S5J/Wd7Ck+ES MYMkL5dAUMxsCedSjewUU8RNReeR23AtdchpncCXyjxQdoeTRqxeZoprSho+x3zYHdnggY9nY4Tt Gw0cElnmmU52BgsUV2XDxj3dNsD/6SQtaI4aw39JkraWm6+ZbsZxTVjSAhmgdFtGK8ocCzLBKq9F nZMCjriYLrXFiZC2GVmmHCpgbkKrVAoXclDMGeboYgHauUUkqSS5lKhs4o07IULcIogDsoPyithW yjGJWgY+viyvPE0YzHVERpqxnPPaNqOU1ppkjANJ787gmAy6cyiF++03p4NF5kCpA8+ZJOd90HwP MteCAuspSxAAsMAoiMyy3Be5aSFQ0Sg1jEmbgj/AzzcQLKWNcU5lpo4QswgUQghIgMzV8FJi6LYC O7GKOnxgCziO8TNeWidzM0qlgGx7uUW/CoM0mlzzGIG0P4c/lmNnkDirWZL0LbIOmHGHqDIbdY5O qmewVCBOTSTWk16lhrnn9IKYkcOhlBCb+2nm2nW62v7YmyQGISMXT0WdfbLaYUSl7dhORgRgDk2a +dAI7axsGokSLvLe1IqmZ5VK6YZhPDPj6YKCwqf+OSMcjoDd6UrjDKkDzdiWjx14b747eXp9j++L Md6ydTMCaNe2HcZ41+5dAFBUVIQxrjxyRFlL6rbpSxrhY8c99vcBf0yf8up6lJPrB4CG7a+NPfMD a9uVt/jCF1/o984VUxcdqE6hgBd4ViCEUuXbKiIXDuqas31zdeEplw/Jk+KBGPw5TQr91QcONxgY Y44AwSdIHNp0KHvYkF75O9fVB5r0ObNf9oGv9sc9rc+eNrHj4see/7UyET32qicfGPD7nTe9ug5l 5/oAACcbDv74wabrJkw6bd3Tv5Tlnjx2RP7GF9fVE9H30uHIathYHehOO+2UjtQm7nlj3Qufb6c5 OckNBIn1p6aSXU6aZf2WHhu4mroNsYa94WDJls3lD/79h5MGtOrZq2nHTrmPP7M2Gtj+j+fv/uLz v2J1ycrqPxKJcoqHreMQhPwVC1981f+3iybeUxQAXL/31zmzNpQBBytTbU2e+JZPv9hx7aUPPodq di2fP39tdR8AHPSUzX/hrdAVl950b44Hand89uSsPcede9XJLcMaTlbuXj7n3c1xveewM1uEocWU BwZbGGOLH3nky4MJS1D1ypiOE7VJQw8Ey7955/dbrrt+5ILPftm4/0jSwFo0v6RTi9iq9YeE4BZC EPEfXPDGgl5Trxm66bFP9+z7bNZnuVfefO9ZqGbPsoXf7e7cCQBQ0Fe+6IVXA6Szsb2/vj9rI+1s 1H9wwZvf9Lz1mtM3P/bxfmvggmjfFy9/ljtuyvQzUe2eZQu/N1Fx4iS6nIRDbNpzAij4BzZ/mzPA 3KxhI84cffYK1u5+2490yQ8iPqdk7YA2ABt/RZo02XK4LdaLWvmadfKnEvrqZTgZjwJUX4dH9Pat mHh6ebQhFauMbfmq8HB+C8cANP30jQ2jbOkHOy+48oJ2v31QUxFqe/kV7fd+9eRuHAR/NKzXljcE ctsdf8Lowc39hwCDlp3fOx9vCkZrKw/uiWlNjTqEGw7XoYL2haHFuFZP4rIlH+45f8qkIbvnle3B 0abN8jy7N2xPEe0t0hPNaxIzKQlGNa/PKrVgsD+If3xv3T/+eUfrTS+cezgMAYMicaA5YIS7/n1y 8Ve33rkh1EID7o5BsD+AqoMchYQMj9fH9t4rsBkAoOz1HiMDglH+6KmjCj6ZctnzMPXjZx4YPHn8 dwa73+c/kWSRwADsimdTZg3D0DQtEAxSIE3T7NFnZ6uPoqG6n157P3Dh+ZdPzg0Abtj/20dvrin1 Kes1asUl19V3fv3VXxePvP1+VLNn5cJv1tV051AyYK9XCusjAIj5u5w6pk/LMECqau8f8z7YofnC R3778KeuY26YPCBVt//3Bd/tOaYXtlcEAJ83vunbZYcvv/mmvmW/zXrq66TqTieMw4HK7+ZuvOGK y8765fsVf3krU5qhhbOKWjSvWb4jlidqS5SXFft+zq89bxhzyo5X5idSX7+5KPdvk24cguv2/f7d z2XHdAAEoGLs6jKvpXzyorXfzf6l5+Qxg3a8/OnBIjMz4j88/42FuWMmTRmC6/b+vuinsmM6AgDU JzzN2rZtUZbChg9pmrm2qI97mrVtZ2bGPAUdOuRs//KHRDI/u2W7dhV+vKoWvPT0D/3NdCDLOcsB J7uREYApUpjsXBeULKdTEQKsjCQjAGB7m1V2jzGbW/k4JH4lql4kKOqQDrJlOd+wYglLNkeTRYkL SdIZNODf7MtlzlTZq8jdoOs6VQEpx4Cknc/mjipxTURtJ/FREOmVDCu3R7nNTGRjJ7zD2DD+NGqR 44zn35iU4+jeujQ3/u0k/SvJfsD9X4k+iyscRH4nKi1CRCcXSFyVVxMCqbxOcB0LqTCNVgBu4HgM 5mxK1x0BuROwKptMaKdABZdHPDwaFTH/YeyXNZeCocCzhSFx5ngGOSKfLS3FR2mwElAkk8WWpb4I vKH6koWF+Es1ZOc+QxFUkWbTzIqU4ZSRIwDOFcmKwxoT7rizbYXBTQEu9qEScGbcEMFpmXSeHvJr ZMiG1qll2cpIpz7TzcuM1LQFJ8HSw9Ys3owRYPuWZ3kyix2QSlzUNg/A6op3aCGncZIT/4WEuhYU g7AGtSNEHBIi44gqAUq3cuwEG07aZXuzuONxdjcDCX+5iWqzJCIrbFNZBJXjHtyASpRzqzzxr3hR NamAAACz8IDlSopOkLotpqyEuJaonqSpo8QqmxO1flElKr/y90SemsYlwjxhblp+PALB53cmyMEx E2vZ54rLTBf1AGUekvAgGzOdE/c55F/0BJHLm4DfLgBUNBFGgMzosGEY69evX736z1defq1JkyY0 U0DpxH7CensA2izQdd2eCTJ3rbwOnToAwPjrxk+9darQDsaVVZWLvvsOAwwePLi+vn7durUA0KlT p4aGhr379oLEU0dhQZ5eV13RMQs6PvfZJVZ21WfjLpmxLZYycXgO1qSMeFVtXT34AwhxTqABgLHH 2PvRo2/1f+iFj0cbRzZ//fqbq/oOEVpLRAY9MHtq5S1n3r/GafoCAKC9c6c+XHTv3Z8vKPJDQ9nq L/4+dc7u+lC/Dsf17bErgDH4jr32io7Z0PG5zy9ldF46Y/vnd0xrcu8ds+Y/GEqUrpg7/f6FFXow ZKoYdEz3DmYLGLzbC29JenLbNA1vfessr0fepl3XkJr1xfYnPth84Ajb5uXTqzodeVrDSd7INtSx XpDd0MJc9fly27a41u/LLmmZ06lTQcuWOa+9Nf/Qob/+8fCkZML30Qfr/9q1ede+NwxMYk3czDEf dV2vq61PpXTDwD6vJxgOAsY1NXUIofyCXF3XKyuqASA3P9ujaRXlVRjjrOyIx+upq40lEylNQ0jT 9JQeDgdDkaCesrAhBB6Px+P1JBNJXTeQhgIBfygcOFJebZeNvPwcjVz+XX64EgBycrO8Xk9DQzIe ajd46JC+XUpy/ZqmperKti79bPbySr9JfCKerKmp0xDKK8iJNyRqa2MAkJubjbFRV1uv67rX602l UoAgNy/b69V03airiaV0HRvY6/WEwgEAqKmOIYQK/j/2zjtOiiJ74K+6J4fd2RxYcs5BEBUMmFFP PZFDxayYz3iG+5166hlOvfM806moKEYUc4AznAETSJAlg+S4OU2enq7fHzPdXdVd3TOz7C6g9f2I O9Nd4VXVq/de11R3F+dHo7FgWwQAPF5XOBQVBFRUEkjEpWAwkpSSNrsoJZIAUFDot9lEUn7MnFDK YGnBh35i0O6T+tE15YURcVr5v7IPmviMIB24pV/DlTqrngI1g1og60is6ng5VA/JOJZiNin6h9Wf 9stzDTtEFkUk2OOCS9zc5KhvjXpQqEdposBZ7KiIrPk+uGab/5WyE9uA/aiZeN6k/7580NNn3PRx skJOSiG59Nb7rj9/bLkzUbf03Sdv/fe39QV9gkHH5Q/ccf2EEtyw4Z2nPyq/bNK75979Va8L3nj4 9CF5ghytW/7R07c8+u0eT5XY+8TXH5k6WNw66+ILH2noHZJLbrrrjxdNqPIAbl77wW3XPvYVGv9/ r9zZ6+4pf9zUjSkPSVJyHPPwP6745NzpCwpbYuX/+fCusn9MOf/b/Ciuuu+tvxT835k3bulmInP/ guNv/er6Hq1NzXGMAMLf/eWyWzeNTFV92Qb9h4uqexsaeNfXyjOgk5LjmH/8608LL5ryrkc1B7Fk sa6QVIvkpGRs9ffCgN4X3ft6twePvqc2hASWwAPKTrju/bPWXnzmv1e4uqMeZ3z2ZL8XZ9z/eoPX pG86ALGon7/ma/LIiiULzz/v3JdffqWwqDB1RL/dAmMAaGxoPO+8c2e//PLwg8YDi/qa3bFo1Ovz B4qKASCRiLc0NiTicVmW7Q6HPy8fABrr65AgVFb1AIBIONRYX4cEVFnVU5Kkml07AKCssspms+3a sRXLOPWE4lSagsLidOLuPQHDzm1bAKCotMxmszc31seiUUEQRNGWSMT9efl2h0OpqKfJ9QMA4NaW pnAolJQkQRBcHm9eoEAUxXAo1NrcJEkJh8ORiMcBoKS8WwJ1m3TFGb3m3vXi7rym+lokCJXdewXb WlubG7Esu70+l9vTlBavFwDs3LoJAIpKy11uTygYbEOlh0867KD+ZQGHiJAUqd24eN47q5LdUpKF w6GmutpU3lCwrbmhDgBKK6vkZLK5qTERjzkczng8hgBKK6psDruUSDSnOzbpcDh8SscKCFV07xkK tjU3NADCvrxAsKUZCUJFVY9YLNrS1CjF43aHIx6PA0BpeQUGqNuz2+5wlJSVg9JNiVisvmaP3eEo LitvaWwIh4KBomK73dFQV4MxLimv0P+spu2UwOpXSPkx4spOW0FWT2hP3yDCT4wNZpnMngrSgF6K JSIcxjo1fd1B5Mk5KjdenmLW3lvVtFtmzaYSBfqK2iJIVmMQRH4nwsu0tOnjaXekOTXFc5HHVa+E iFxaUYSrUg7o/hFpqOYZ9wEYjqjZmU1Vr3NyH0lLqEjO5AhblF8pzAcv0U/Xyb1M+uJcWyK0vNQm llNZZVkeoqTHukGl/xiSs69aqMOayULkF1Yr0n9MW0oaNMNxRm6sfaCOGs2gVfeaLECTJl39HyZT YsMR0ixjwxFaGCJIV36+NDfPmrPRRfZIOw1acca2GJQCKw96ZnUM48JAaQxReLaTwJjO7IrcqLrs OhD1KSs5ELl+pO9jZWoz3JXRz+kkYBRnTJPFYeWcpgntw2AOUOqD2kb1lHGaIFDXW1mlZUFKckwd YHwE3dEsTpFJMABzGzoy+QyKVGS7SNfMdHQp3TLaN2bhzG/Y8E2XShGDdUuGKptxlppabeqIPipK HyRuQaMthq4QrGVRDjCmvfF+Pqzl0UdkRnT+iFZ8S5doMUvIo9ogEvsAjE1AZL70rQPErXPqthKG lJkxT2/VClanmRhrEyOVUSTr+C5nzG0l1k6TXajUnwplv/t24bnnnf3kE0//9a47zj7rnIMPTl9u X37ljGeffm7iEYeySmeYBwSorrYO0mVDSWnJedPPu+rKq5gyP//C88+/8JyamCD9LRyKTD9n+k03 3gQAE4+cAADRSLQgUBiOhIYPH/6fJ5+eN2/efX+/1+/zf/Deh8uX/3zDn27QaxodFWiSYtzY2Gyo E+cX5CHl+qqpsQUA/Hk+m02UZYwEhEtPeej5K4O3nvS3VQgA4vFENBJNynJ6aRHA7/fJshwKhRFC vrH3vft38Z4z76iWXTrH0NzcmipZFARAEI8lYvG4nEwKguBw2B1OB5ZxW1tQFEW/35tKrPZzqoH5 AT/GOByOSImkKAoOh93tdiIhvR6oLEADIIBW1/AdgbMA0J3nDrnz3CGiiABASsorNre89r9tL326 ta6FfgsV4O6tcwKxlen8mHjGL9Z5fcpXYYxFIb97+VSvpxcA1NXvql71/cRDT3Q6fADQ1LJ8d90H gBLaAGOkZTaH8dg3pI4r/cYRnb01sxiWNsQsDASAZFKORmOSlExKSVEUBQHZHXany2GSXKuN+p82 a0i9ZHp9REwxRBekbwDt6jJdhxiOG14kpXo+VQKktIZw3rktQKvtSHeE1h+IOIIQAMS6HSuHG0CK YSkOWCpqqzt1649VPk+/4bLXF0SQ53C0OQUpHMsXba02v72h1r385+hr/qE78/oYG56itWZzIhJ0 +Qu8RVUAIMWj4cZdiWhItNntbr+noBwJYlKKh+p3JKIhJAiCaE8mYp5ACcY4FmqWJUkQRYc7z1NY gQQx2tYQbtqDZdnpzfeV9EgmoqHG3VIsjGXZ5nC688sw4GDddiQIhT2GmomkkkxEm3duAICiXsPj 4da22q2i3RnoNiDa1hBq2KUWwpS5YcsKXWm+ku6pqr1F3XQf8iv7GxvoDpQbxVBLi4WadYWoLTK2 2u72NW5bDQCBqoGizWEUOB5uDdbvAIBAt/6i3RVprgk31wJAQfdBgmj1kPq9QSzq569dQB5ZsWTh udPPeeWVVzMu5Uyffs4rr75qtgDNBuvuc0Ra5JN9eK+LebQ5jVJ+m7J7jHiCFWUa2ko8V4BKl0xK UdR/6lVH4BcfmBetzCQrg0QiHmprS8RjiUTcZrOLNpuBr/H+AAAgAElEQVTL7fH6/JlzmmBya7cx yFcje6ORxMYc5D9DQmyWkxAHk3WRy8GMBWgtpf6g7pZt+kqALI0SHNSwRjtNVaT2hXqCCq6ZVyGm DlB/QWlccabjTSoTGXbS7HUQTLo76odS9TS9lJz+LChiItIXqemJJpK5VAcHai+QFRMrx9rDFcFw yOII+5gJ++QlhDmGVKZnO+VKqOMwXZ1sX2nE53STrdaytXmJlVjR0vhRX0yvbcnI3aJ5GBvyG4NH vb1hF5ZhwZ5RMyMB1p2kbSli+AbWhmy9A2bffkJXZbTwimE1XJZQjkSfxVgymNZNNILleHRyZVsY lZR8qlM2cQk97Naz3Syj1UGLI/rKEJkmW+OXipCYUZAaVNGXjsqPkcaIyfjbIHsZOttjHQg5lMan 3FDxgG4ip3dMp9MgXZDAKl23Wm0mg+Yj6Y3MANpGcgP6gVKvejF7DJmZ09eqOK0nmEyga5xij9nT ACkFkLcg6NBZJoRBJrPritQVri9JCxuyXYBmGVnt+oEQm5y96R9TiadLGQccqR8Js0YVn8EIZaPx LCNhamDo2i2Kw8rEJH6AQfpWqEZE+4rJGJm21tmHKqbyYfLSzSIwIuvEhqEz5t0HYaA2041xrr6F yqIqTo+KMi7KAvS3C3487/xzrrnmupqaPaec/Du1oCuvvvyZ/8w8/MjDdBVQX9Vhoe9NTHVYOBye fs65qUVkksefeHzWiy94PB4ysVGjI6HIOedMv/GGGw8/amKq8GQyKYri2WefM+OSGWedc1Ztbc2U KWde98fr7rv/vv9+Op/uHZz+iOmIS/lKa6N+JqlRIkIoWnXlnJlndbNJO+bfc/3985ucbuPOhFQH KAdshX949tG8v178n82STdRrsUFzdKG40cOB6ubIfTjps1i3qkctQAOCPf5TGj2HAUC/St/Ivvlx SV68rml3YxRYFEYWVgY/BE0IwqOYa7ksy/FYIh5PxONSIG9IWfG4zVt2DRtyMAhSS8vmmrofI7Ht DofD4bTb7TaToIoNJm6gS//VepBeiNGfzVSy1rCsjpvtRNHOG44AMWxkMVQUZVG/NsVMwidjKalw gumnDFUR1kytTtFgBETAkNIjRHhfVd2sF6BV2dNH0qvtWjLQSiCaGet2jBxuVBegAcCzZ+Pp9Wt6 el1VPZL5RQ5RbhOdADaIBF3r1sRB9P4bl4cqB7P6hvNbRyzq66/7ljxSvXjh6aefFsjPV48wd0AD QFNz8/vvfzD8oPFmIYgxWtCdpYI+In/WhmpvsYybyFarDRSD3U67c2p5bM07s95aGc4r1idsN9jw NDzTlGZHkd7aMQN76jtr3wPobSTxB2sJjaXQSw/EZmhsTEbuiTasPBgXpjFRuW6ZA1NF0KshiMyn pCRdDKG4pvttWBjTIt1HwyWi8RCQsSExC7LXfeOUshAZpT0gFRSnvVX6s7a4jIhTiHSCSoSVzoLU h3YgpGowomuhNoZrX8gySTGZ8QW7w3NdZNYlZwSUHY+Z5dMJxbSFmn3S7n43VECXhRgxu3ISEauP iBajU+0tOQFzqolwB1QZJonVppmlykkA2szohaI+mjzBVlcdsyxDuyifxBpKo43XS0nYRst1WqZU pt3DWCDGpICY/qolVMWkLbFWrHpBaSoCa5oyOj1dHXE5koMtNclhPrKa68iuAvoNk4YmMWMffdHI vD6tQPKZ2JkNHDa5glItEuPnQkZyVkWMW38w8X9W7nbbZMuMRJdrz3gxmzWA9Q/uwCilp8Q1tdGC GzAMpfbcDWzsUzqlyTlCADqJbgHaLLAlnL5pIxhKmn7ulvL4aeq58lRRxphZZyJpwTCZkk6Yeukj WYG23w9hfe2m9sxgwHW+VTueevSz+jn9SbuzxySjFqkiXbsyOFfWLGC1hxbSwrOxxpzew6fIq5NW X5Q66LoeVqcFAspcMtVJk9k8DSlDakAzWVKdmTCbysb0+xJMhK/6fqAjW2oWpAbum6+/v/Cic6++ 6tqDDhpLFnrVNVc8/dSzR06aqMtoLIoMx3WEw+Fzzp5+4w03qkeeePKJF1+alVp9tnByCBAGHAlF LrzwojlvzSFLD4fDgwYO2rR5U1FR0ewXX5ax/PszTqerJRw9K8DRRwJU4IGB6kQUCsbtPo8j0hJK Io/HjQTQdEnRL6USBACynGxtCSKE8gN+nTRqhWojU0qmWFTSiSjZ0t/oK6T0PwxIXcpLe1H60Z8Y yto+wVho8o7/ZVfwl11BfUcQSQsjiyqCH6cvfvV+mpJbZ6gEhJwuh81uc7tlKbl5+55NolNes/Fr DCAgQbQJfqdPQAgJCNPjgihzw4zA9BEbZZ+Mk5nZ0eYT2GxSkw7QtC6gHBA7iFN+ddOcseYEsK4E rUrlPFILUTSB9RYJoHrFepOFptta72Dy9+9UMKZZYoRSqxzao/5Q+kcPrDz/D5QXUeFU8tT7DZRQ hn6EYSrMSfk8RLxiC2m/v6P0M6ABq6/Iq7U5Z7srzg7vbtso5O/EWPalJlpCSGxrk14TXZEin8/6 9YOc3yxY1t3YW1xW/t5775vPfhJUXFaupDSZT/rPhImjY0jMSERWZXZCl4xlcRBQ00xLSVbKeE0c WYxy6ZAMLnr0ph+STperoKhE1BLqc+Ya+WDtCYpaCbqgPm1IqAhS72PZApH21HIrHR1xmgfRhp3Q Wj/q9EmvBLoddIanYWAin14niDVtLZXOtmPi+gGzMwHbTWa7kKCiDYwyCsR9R5pTAkW5qD5WBpG+ ptD3cm6w0ivxT3qxnfgRVfGZaS+WCqrSW7MwQCpuTvWgElDRzdKuzjChhkhLiABS/k532Qzq6yo1 n63MPv2T5bVdSGpuYu6a9FAqUNBWJFWXSqfQdxkmOkZ3nBBdV0ImjCJik68WH7TP1jphqcO6WwWw vqUmZovYAoa14ctZOU1k0n1klWq0TVa7EM2WXBmlKoqeRVMM6QzGWhGM9aY23bTWKR1lDwCTORi2 WhGaOqt1kTGj4foNlKr0eU1ENvuIVVkNldKPP6KtL50CiGLoRKSoaQtlqdxaVm3/t7GHMmM0yLRF 0sYq69KNA2amQLSdzCCcfimM1A9TybQLLMWaaiaNWPzTMqsP+MWqLzErWxUqbUaZHZd+D6CpuhFd YNWthtPk5mRdjyLii04PTWph2mjT57Oby0h4IkS6H70/Ajr8ZJowfQZQ3lmKgehPxnRG1B9QZkf6 YhaRmYhfjg22B2t/DOpp0gW0vVCdqy7oQYR46ZFLdwBlrqjdBNpHqyNIL4JuLmuxCmngSTumfjDX RawuC7BOmuWj7LxZsXpxLNIyTqp6ofkMalYwj+qcKyaLYvhdNZ3hgVjkqium7ydlNEcbd6ICw+Q0 mglry5u91SfrNMvOtBVmV6ZaJJnenogY2cgO020JQKlpEY/H/f78++6/N5GQyPx9+/aJxWJKv5IX hfTDDwCoNTKqhdjt8bz2+qsY4xuuvwEAnnzqyRdfetHjdWsxicl7Z1MJ3B53aq80uSLq9rg3btpo s9vO+P2UvLy82+/4i4xlap2dUFbWxgJ16huHnjHjvV67LMfB5fVS4qqF6G9ZEQQxEMgjS6GUnxwC 8hdD8ijZKYq/RNr4pRXCONkAAA0e2k+rVtGPVtfQ2ryTEkIAWNiTLWXBefmxFdlecRirVWHOUoOX xpg8o/l+I+qgIAB9aJLZbBnnk9Z3yhfdBRlxRi9INt3DSEYENQgxIkxzE4JAl1trQDqrqbUz8RVq OeoQkK4xJb1iJfV3NGuboNOuHZS7m4ldz9QOaO3eZ+r5G0S9oO2JVkYjXnmUHGnGUgxLUZAlAJDi 0WQ8Gou0eUNNg2MtPhxHAK3I0eT0bvIUOz15osNlc2hvkONwVGxFfX1132efPieHzrII1DWCLjE7 irIszphEP82NpkuzYYTVZJml7ETJ0vR1CGrjWJGZcgxTKRnZmVGnIZGuBEwfIyvB2nfVL5M7kZX9 KkQarKuF3BBNZMdKAaS/J5eVqYdssJ4HrWubMWjF9EciUGMqhtbPzF0F+hBP8aJsJaG2Buuxmmqp OFM/kDpfrVRL33KsOB2qau1BHIr3Io8gLXrWP21DrVrZOk22ikxANxYp74BCWqWaKJqYWsOIyo3t 1KWzOKEGnURATF5bppeqM+2spqL7Lpn+zEBNd4p5kFUM0R1KnIMZCTAjXy4OAFvlMDdlhhSUlc5W AJ29MilYd0K9TGYk0V98Y2oZnmEtyYgcqSLpi2TUoqJFouYCG2onrKNOHp1MlnIYkrD+YuKfYtip PNoRY36qBIYk+uV+wliZSZdhsccYHCjlYTCbPaqU1i6f4XP1spjMLBNpCbvJkiglg6nhyTCe5gaL mLIsu6Ze9WDth0Min25+qgZeW31iWUuqBOqATlps3CRgSKabPvqKtFqMw4O11iPDeKpvulL2E2nV E/IbXBdttugGGtB1HSux2XFGA3XJkNIqoxTYMGbpUlgKjbSPGc0xbZ4QgPKI9RQyezCY00j5o/wg rcUhDBNIVc4SUjd5snZqBgueuYxsft20KtFEfLAwJdjsnN6IKLEpuWaJySHW9a1uHwAZKTH3DWjV qSmJFTBaumwMoz5Du7s2Q7FZyKIlSe/cYKRQQm21t7MOFLUpiqZPP/+iCy+22Wy6JJIkzZr1wmtv vMLOqTOoendCgiPhyAXnXwgAL770otfroa6hmFaV1VgjWMZTzjjzjTmvO5wOUEynco7ULMz8aV8f +VjMPSvhyGf1YADyhgaM9L+EqWZasx2s1qkRA8LE9nb17lElC/n8DeWSafDQflTkoUw2jGxt7uGt zsFRe5Uk+ADAjoPO+I78+Bp/dJWA40xBNIkoJbMKg9L/VDuv5sFgMrZavYqPJH0AVT7pfQjzxbS/ WtG09TdonGpKMLXDGBGWSxcGmBpAY5OUoghXou39VX7cpfyjujpPlUTpgKrWYGEe6CfoZyOmUppy XLUwanCBgVw6Tquc0j7iA7XKnLqLmbwzGRH2W10RSH9OVB4lR1twIqouQHM47cZW1Neb9QI0Hb9m 6f6Vjb307d8qVLROB8KZvY3Jz7O6NABAGU5d+MY26lnHCvsDaUtmHm9m+sbKrLO8up+kNROLqNTY kN4Yc5DFaKvJyhnDtmVqUUIrP1WB4WZrbdWDKtnYcvbSTkalUzXGPBgwHtBdEzICGpO6DNNA2+Jv 4WL1l6BIKUspAxGJqF9SCVeluR7tSVBA+CyyaQjIr5oLpN0lEXFRX0gxKHdOfNHFC+pmqmznaQfP Z924tONiSGmA6QjqoihEHVAjQgBtcwJlS+lPWhCn1pBR+zPGcDmjixItJKBSMo+amjNsPMRKpjuB mclMhkdfhTFNxnVeYwJqxNIBsKl/Y2WmS093nM4AMnyEtreFKMSso+jh0NWqNQqrJZunIT9RCQgV paTRLnvS+w3Zc5p+yBJdUTuh/Jh5GsoH05PRRKOU9qn3eSDGS+SyEV7tIXZiRNoTZgJaTkNCTF2S mBZCX8dZQ9z3SktBVNoBZhunL1WZx6mvus/Zmz8rOdPRkZWjoqpjKYC+RATA2OdIlJI6D9SPBIhQ D4N+IV0BtLqmfuVPbaVV9ksbXRPDmzGsFMskMJKbWT6sNARAW1oi/5ENIRpmNYzpqWf6e455Xn1j 9ZNbEUC7Z5qoUi8FUswMS/2wloBdWUaRM1gIQ6FYf44xhTB1eUU2RT3H6NfsrSn5KTXABkWlp0Gu MxeMPaKWuxcF6Gex/hlHmh5Y22UEgMPhSDQawzLWjqWzCm63y+P1GLKwitGFymTwiQAwhMNhACCe +4wV4bBRaqaoOn+HAMlYjkaibo8bAam9hnVl4jpRmYqgVp0pIAHl5iitPLJdVjLr7oNFyGhy0ppn /ksvojqVulQiEqg7ThEaPLQvWTjWlZJes6anN0tJrBwKdXFgol2GpmZ+bYSWhQzfmQGNhSHZ/9Bd DlPnMghPK0YWwYq6G4+ogLwt2cQbpQQkoxhNaKxVjTShiD3O6V3Pqm7qF6NTGYle0O2GVg6lLYKr UCrU3oPH4ewNztY1Yqw5c7pssQ6eqSglq8iOjnNzE8Q8C32SjMvZIaJF4EjG4syzJlJYxerMAjOE nFo6iyQsl0B/MQYHVBIizCctJ3Xc8Gs2pgrWFinIv0oYosbgmEiMaUnoisiSqbxAXOnoRTIsOGk3 HWv9rOzRNY4+YfM1r0HHPgaI5VjDGV2ODONsuDTR5zfPpPoU7avi6qhVZqVRxD5o8jhSzxLNJ9ye WpFSN7UFA9FnCakoUc2cO/3bM9V8Ri+ov1izTqXB5l+Ng2lt4azTZJO368lCKu1Xf4Pa5RJfZpVW XwNhWzLlYkTVrDSZpKauSzLXqjeQ1BddAYyv+ttK9FWk1RdTPc5IaXG/H2BMt4pcdMbA6BFFJ/Qd oNo3XW1qR5Cjp1lmvVMwug2d2HR21pAh4gMR1ZuuW+lbRlWB9KlMIMRDhsMsERDZJ5lKVjoXmdzx SpdDdYl6t7DpsrzeVuowtwBpqRA7qSFfesdP1u+ARUrb1YsppdhsB8VCGqZlN0IpZyZzqJzXicf2 JprqIvU5BPowwahMjEDDKJK5RzOqJqT9NVE+MxFdFmZ9BqocgwEkG6A9HwSTZ2hLRp1hyEHblPTN 7lhrDml8UmXQMRjbMRgba6iW2t5rnhVbya5qE9alo8eUVCllsZqQnhKSYeWt9DtH94zIsdKVofZk TlMym1oznDBOLUzGsESO1HxBZBSf1TYlYKoAUS1zBmhfTMvX7nKnFTLlF7QXqJhkNtgY6x0XVMjN kjfbDRuq8mNlYywwGkmZCOqOAkz+pMqwNPRvUFj9R0R7GAx+HZH5Le6FYUnMMlQmaQzFGEw0dQ40 e0q1lVgCVE4iQIOH9MWWrlGLa8gONVSnfTSVTT9VaT1FRD+blkVZas1vZXj4GF0K5VyVOMcoljpH 9U5MbzYzRUaIlMBoIFlu07DYS8dtzPmPWcIQJVnYHNojAl267rNOLN0RdV4jOkbTEmvbmYmvhit5 VXRKi8kPmovSX81TRkdx+lrpJhbH8qQJ7UisC6aQ7nQ70Jdi5qWYIlDi6Upq/61S2dHO4s2NYpYl moVHxATt5JYfyGBKVRiKZBVAmKQ0y8I0lrqxYQ2lyfCZRMTUGUY0S541nMYA6UtZunT6bQTGJRU1 jqFPp4pkPnwD1EUT4wsG00pLHCdrV48QfaW7PdzYLvapTOg8KWlESBNtnt/MOFMYfTZxgs5GqBAi 06TDQfKUbuMzIQ3xbA3tAVBYPU4ECPTmaPVc2t0RLw2ixFfvATIcpHqA9u/GcwyMh6kAWVMf5UY1 CwdiDDmI3Pq5CvSR7I1CrnReyRlrTk/hlCJ1mstIh6g515DeWoAN40gWzahN+cP0kXQuvUnJFDQY nm9oTIzNkhJJjAIQtpQtL21/Gfe36ty+Zv3M+8gKXURteLwG6VKIOzdYN94SLiP9F9Gn9ZEbAHvN Nbt4zrAjxZjC9EuWedh+XVeu1S4rfVlMQ4WIYyZGQqnRcI7sYWuPlOGiQTPime0UdceLJmFnWDes eDCTU8DUw0wFAoCWmTrCKCdTs4jzym8J5Ms+rNIbD5E+ndrUzh4b2gkqP3hRSTArn5aBMtfazyeY 7gyir9gQj2cwOQ1a3JJ6WxRRoBaWKrXpsmsik2GBshiWycErQSd757m51hgfZmsQwniQmhSYSkBJ Y1Ge3m4hqp+yAus+IgBg3zfYDrD+CbvMFugfkqAc0Z40oLObWHnVViqB8rOP8bYYCqRENUqRzPE1 RJ7GUIMaOHZMqx88ZCiWIRurVtUYG12iURj9YUQ/FrDDhtWsRlZgYYh+sP4MkdZEQ5gRPBtzw8IK hVRM3CV5XLsWIg8qZjj9FyEAsIUjEUpvtE0d5B1GbElT1VjGCrpgKVuyGH19ldQPtXTQ2S46yfdn QJl7qUm4t3PAaIvU48ZYV1cZYqiz4mkozSKnP1K/Uk+0VEVJ731W/4eU1mq6idRCKA3WkqnZqYz6 9iLGP60RVDMNKFJnoQKkfmdUl5z1SRcDdHBW42Ery9UZ9pjsN6vyO7RuOkQDutWd6XVMRKEgtc66 dyxGzyIXE2Pi3JRtH9hJHcpjCMmXUgNk6ABDTKUPUakviBGUEAbSGLCoP2rTzghT/8Naai3mID9r gT4VlzD2NWOqDbr3q2l/sa511AqIPp5RHYbZFQbSf1fLymL9QBexWOuRLrbNWLpm9ygfxsyHFL9A ODXCSxESKv5LS08+c0OLgBEVbhPujKyUvBGRcnNUi0n/atFy/V2NVmlNCgAw9K6Z3bF2SLqzWY5Y R2PdCFb8zsLY0hx8RO6Bb7o2YqNNNmvPxusT5gmdiWcXSxu+bKpGVH2mKyb620cQeZRVv8kzgdjp MVmgan/MRNFeA0rHwboLP8N3g4ymGCw/Za4pyfRXK0qljM1WRgmNIOvT6dwIiEsm0yHoWFgOFICl iybGwmTSqse0KU+sWpqLA7SRMLVQCEB9Fzp51wNxvQNAXjpnaIcWpWRrFFNl66aO1grjEea4ZrOm n5rBRNH6DjRcGKkbeOmhYfgThk827SCdRLQYlKszH2JDVEFupWf5O6PLMIYdVgt3qamndJv6mGxL LJe6CDmowTBOFy3SYDwrFiHDWFp78GxsgPHFiaZ5sOELM6l1T+nNZCY6ZAlRUz6T0FhL13GYR12G p/SykllaNawc1cYL6zNQpyywijQ1L0SdYt3GZxGfMU2WYkOI1+mphoApB1kH63c+IK9bMv3sQ5Jp EmUF5e51x9T/pyYNyk6riR/ZGOKZhBssmdSK00OC9RcxCjqPp7g2fWdTm6BTV1ePP/54puZwOBwO h8PhcDgcDofD4XA4HA6HkzOoc7eaczgcDofD4XA4HA6Hw+FwOBwO57eKbceOHftaBg6Hw+FwOBwO h8PhcDgcDofD4fwKsfEd0BwOh8PhcDgcDofD4XA4HA6Hw+kM+AI0h8PhcDgcDofD4XA4HA6Hw+Fw OgW+AM3hcDgcDofD4XA4HA6Hw+FwOJxOgS9AczgcDofD4XA4HA6Hw+FwOBwOp1PgC9AcDofD4XA4 HA6Hw+FwOBwOh8PpFMRrr712X8vA4XA4HA6Hw+HsM3Bo3btPv/DZzqKhA4vEYPUr/5793015I4aX 2ojPjr0r1p5djkTNondefv3jL7/7aZtr4JAKF8q9Vg6Hw+FwOBwOZz+D74DmcDgcDofD4ZiAW5bM nvllHXWs6tRrzhrganeRUuOaJb+Igw4akC/urXQAAIntHz89Z00MUPdTrvzDIA8CkFt/fu3Zz/cA eEdNv/TYiiyWfrHoLigujpeVBDz2WBAAAER3ns8uEZ/lYNwqaFbESCP0+v3VZ/Yhik2ELbOn5Yhu +nrB5jZUMnTsgD6DK/2OSCgm81Cdw+FwOBwOh9OZPPHEEwBwzTXX5Jrx+eefB4CpU6fm5eUBQGtr 61tvvQUAl1xyiS4lX4DmcDgcDofD4ZiA7SWDRo3sDqENP//ShgoHjOrtd5T1KPLZQ21ZLKiySOxe 9L8FG3r3HD+0AMeTex+HKrEsrtkctA/zJBJyeOe6WgAAQE5fvlsMhaWMhTiqjjjrEo/PIybDUTU2 xgD0ZythU2eFksGje3oRIGdl9yKvPagVG88m5pYjzUEZoMfRp/1uiC2RiMeSfPmZw+FwOBwOh9PJ lJaWQqZol0lFRQUAvPXWW1OnTk19SB0xFsVYgP7ggw+qq6t1B0ePHn3yySfnKgeHw+FwOBwO50DG VTXu2F5uYVdk9S9rnAOOPu2ksmRCllo2Lvzov4s2NMQEf9WoI088fECeKEe2fj//y5XbG8OSLa/X uBMmj+/uRvGaZZ/O/2F9Qww58qtGHHPSeHf1e++ujACsfuXh1f6x0y86olTa+dN/P1u0sTEu+ruP mnTi4f38EFz5+rOfyhNO7Ln5y8VNff9w6YlVFruYU6Gst8Ae2rK6AVXkyeHda3bL3nJPaE/6vBzZ tfizz0hpPY3fvvjyolaliMoTzxu67OXPaspPuPzsoW4M6qozJj8nw1sMDRR0Yvj6H/W7E0qSEgYA KR5uXfHKs5+miw3pGnVCcS3d8L727V++/10DAGybc/+d3U+9amo/Z1QneX937TezX1/SUjThgnPH xL558Y1lbaUTLzj74KIO2UzO4XA4HA6Hw/nt0o4F6ClTprz99tsVFRWpjc+p1ecpU6aEQiFdSsYC 9Pnnnz979uxdu3apR/r27Ttt2rSGhoacZedwOBwOh8PhHNgkE+FIREpFjHI8HAy2bfx47oINiYIB YwbF1ixf+tGHeZeeM9pvc4uyv98hYwpbl35V/cNny4dcfIi48auv1ze4Bxx+bGV0Z22gotgXL6wo tu3cJZePP35cjx49CtHa1977dqPc/dATB4UXfbbkk8+7XXZ6H4wBoO67+XWiv6RXWXGBVwwGJbN4 GAMAoPz+PaRFGze0HT8O167bKRUOrYKle+IAGMvhjZ+9o5P27EG9DznKh22RDd/8sCUe6NOz2LUc AGzeQJ4jHlRrwkScjDEyNvDQPCyTYqR6KBJM77mWU9mJYrVGOXb/T9/wkwKV/Xuuq98UCYw+7oih /cr80tIP9ZKfM2r8cSPWzq1evHCt0LK8DYqPnHpM/8JEc3Mk2WHjzeFwOBwOh8PZ//nPf/7DPH7l lVfmWkJqB/RTTz2VawnBYFBdg04dmTJlSjAYNKZkLEAnEomzzjrrpZdeikQiAFBUVDR16tT6+vos 6+ZwOBwOh8Ph/LrQAkaMcWz3is1x8B089exTu7UtbvrXe9uqN8XHj3YUj//9mZ48H66RVlR/1Vyf cLmcoigAxFqjnomHnXaY3yEmw737lToX70qWDjt4bEUi0ryhelMM/IdMPnp8SatjbfUHW1c12Qf5 MQCAa9j0G6YN9mIpHg3KGEOyafWP1XUSAPL2PGorPSoAACAASURBVOigXl5EiIbF4sEVwkdrN0XG FqzfFguM6udZuzR1PrbHKG1i/Ogho7snt374TRzcI089olJYjo1N1X8WjQ0UwqEkmbT1+//c8z0A QPGRF00f7TcWpTQquPrlX/QN904dMKhq0Q+bIvkDxx3UCyLNa6tZ/Vx16DGD1n+w9r8LAAKHnnFk uRBujkj8mXocDofD4XA4vy1Sq8ZGst/IrCtB/ZrTVuiampoePXps27YNAHr06FFTU+PxeIzJGAvQ ra2t+fn5p5122kcffeR0OqdOnZpIJPijojkcDofD4XB+qxBxIJYTobAE4Cn0QbQtJrodANGmmA1a Fs7/fMmmulAiKWMAQcbI5u016bgR8z6v/umDF376ZtBxpx87JB/j9GONsRSNhIPNIQmg7cdn7/sx XXwkLNsDCACgqF83V7y1vjWWrlxqXr9k2RYZAPLdYw7tjxJxGYPy7Avk7j6kFOat2rynYkvYN2hI kbAmlUuWmNI6nK3rPp+/Lubod+aJ/Vzx3XFigV1rKvlZjtX8/OWXdANFAXB6a3YqqfIMaHtR/4qA m7j1UCkq3aiWxto2Y8NtNlCe+SzHI+FQK1Nyl6v7yIG+tcuDUHbIId3ESFurxJ8UzeFwOBwOh/Nb 47LLLmMer6urYx43cumll6Y+PPfcc+TX7J+BEYlE1Oc+A8C2bdsWLlw4depUt9utS8l+CWFzc3Np aenBBx9cWVkpCEJzc3OWFXM4HA6Hw+FwfnVQ8aLo9doAQvXBhOSJt7XFAQoCrraVH3y1ttYz7NRL jixc89qL37YAIMBi/oCjzhl02K5F7839fu13Px88bJIPA0ovaGMMosdtA3CNnjJtbKEAACA4i31i CwAAIAEl4zFZrdre89Q//im/OOBEAJAMNzbEMCGa4OvZtxD/8O23Da2uPkNLxV/S2ZDoMUrrtiVr Fn2xMixUnXTqcJ8UrItpT9IgNntTG79bV3/+1do6fQPVp3QQz4AuTiQwAjkWwbKhqHSj2A23SQ3E Mz+Y/ey2iXLL6gUrggAANV9/vmbgMWV8nwiHw+FwOBzOb4/a2tq9LEH3uIt2PP1CXX2eMmUKAKjP gz7vvPN0KdkL0ABQV1c3cuTIWCzW1NSUa/UcDofD4XA4nF8R1CM47GXD+7o3rVv85pvxivC6XRiK Rw0tRKuTAODwuuI7l69qAhAAQA5u+PzTzZ6KEmebDAB2r8/vdTj9ToDQui8+mldSMGhs32F9XZvX VX+3xD+4AEWa6pP9J00UYzJRGxmq4lhzbY1etPT2bFugd3fvd8u3BB2DR3azJ9aq69blRmkDjT/N WdICqKQ0umrBF2FUUoVZNZKf5WRSNjSQeEy0+rpCORZqbUukPrKLwhhjexmj4XaUJJ8EwurnYmj6 8ctvd8m+sWcdH3z3nRUffTvywsMKUA5DyeFwOBwOh8PhUAwfPhza9RJCdfU5tXdZfR60sSjTBWgA 2L17d64VczgcDofD4XB+dZDPogBwVB35uyPRlz+urV4jeLsddMrUI8qFcPyQESs/r1745psVI8aO LlywHACDaBdaNy3etAbAHuh71OlHlovJprwBh47Y8Hn1lmXVscNHHhXoc9Tvj3F9s7D6my9lcOT1 GDvS7UJh6jWAGQLh1HkMYCvs3c2xfL3cY2SVI75b29LMkDZR/V4tAOC6pf/7LwAUTJh2EKKKM35G /v6HjFivayDWNkmTy8uM6J0uFmNw9jjS2PCITCZiSF4WXPHyF1sTYu/fTRoyrHXngrULlny0eOi5 4/KAb4LmcDgcDofD4bSP8ePHQ7u2VP/hD39IJpPq3uWmpqYpU6aIomjcTI1WrFix94JyOBwOh8Ph cH7VIGdBWaELh+prWxMYAAS7Nz/gd9kQlhOR1ubWiASCK68o4LEhOREOJZx+t9RY25iw5xcGPHYB ACdjwZbmUEzGSEmIE2319UEJ2Tx5Ab/bLiDAyXioqbFNEjxFpfn2REtNfVjOLJojUFrklpprGqL2 QFmhG2JNtY1RwVda4kfh+tqWBDZKKzuLygocahHJtsagqzBdIxa12qnPrAaqT+9Ii4FD9XWpHgIA QCZFpTIZG54A0VtcmmeLN9U0RGVg9bPsDJQUuIVYc21TFHmLSvz2ZKihrjXOl6A5HA6Hw+FwOPsp qLq6el/LwOFwOBwOh8PhcDgcDofD4XA4nF8hVo/g4HA4HA6Hw+FwOBwOh8PhcDgcDqfd8AVoDofD 4XA4HA6Hw+FwOBwOh8PhdAp8AZrD4XA4HA6Hw+FwOBwOh8PhcDidAl+A5nA4HA6Hw+FwOBwOh8Ph cDgcTqdg29cCcDgcDofD4XA4HA6Hw+H8msEKsowxYFmWEYAsy/taLs5+jSAIGEAQBARIEJDKvpaL w8kZvgDN2d+RZZlbWE4Xw7WO0/VwreN0PVzrOF0P1zpO18O1jrPPwRjLspyU5UgkEgpFQ5FoXEok kzgpJ4Hfkc6xBoEoiKKIHDa71+3yel1ut1sUBEEQuFnjHFjwBWjOfg3GOJFIOByOfS0I5zcE1zpO 18O1jtP1cK3jdD1c6zhdD9c6zr4ltfQsSVJza7CxuUUGoayooKKy3Of1eNxuu91us/E1GY4VkiQl EolwJBIMhRsamnbUNAogFwbyA3k+m83Gl6E5BxDc2HH2axBCUiLhdDr3tSCc3xBc6zhdD9c6TtfD tY7T9XCt43Q9XOs4+xCMsSQlW4LBhsZmh90xdvTIivIyIJ7Fwd/IxcmIw+FwOp1+v78cof59+wDA rj17Vq1e39zaVlQYyPf5bDaRr0FzDgj4AjRnfychJfa1CJzfHFzrOF0P1zpO18O1jtP1cK3jdD1c 6zj7BFmWk0l5d219Q1Pr2DEj+vTsnkwmJUna13JxDjx0v1WUl5Z2q6jYtHX74qXVofxIZXmJKAqC IOxDCTmcbOAL0Jz9GoRQIp5ACPEfhzldBtc6TtfDtY7T9XCt43Q9XOs4XQ/XOs4+AWOcTMq7a+ra QuHjj57o9/ni8fi+ForzKyGZTCaTyZ5VlYWBvK8W/LC7pq6irIQ/6Z6z/8MXoDn7OTiRiAN/NQOn S+Fax+l6uNZxuh6udZyuh2sdp+vhWsfZB8iy3Njc0tDcduykCR63m2985nQ4kiR53O4jJh7y+Zff OZ2O4sKAKIr7WigOxwq+S5+zvxOLx/a1CJzfHFzrOF0P1zpO18O1jtP1cK3jdD1c6zhdTOqtg7UN jQeNGu7zePjue04ngTH2eTxjxwyvbWiUJEmW5X0tEYdjBd8BzdmvQYDi8TgChFnbFv74wF2rN61H kL6lDmNsvOsEYywIAgY8pM+Ax/98VxfIzDnQsda6NXWeN6vL2+KZjaffIf1hxJ7BJeFOkJHza8Na 67YHUXW9kEgC8746jAEhqPDgwYWy39HponJ+NXBbx+l6rLUuI/3nX7FrzFWh0hEdLhjnV8xeah2H 0w5kGe+ubfC4fd0qSvmaIKdTwRh3Ky/bvHn7rpq67pUV2T8I+qWfbohLEfWrw+a+YNy/OkVEDkeB L0Bz9nfiMdM9C6s3bcAyBmVFRl2JTn9WoszUM/tXb9rQyZJyfj1YaF2WKzIA0Ba3vVld/tdjNnWc XJxfMxZa9+lWoT6aIZxc24TXN6PjeshlHn6BzckWbus4XY+F1pnhrV8aDgzGNne4aFBZ9Yubjn2k MwTj/Ipph9ZxOO1GluVEIr67tv7YIybwvc+cLgBjPGRQ38+++q6suFAQXFm+jTAuRW6ffrn69d5X n+k0ATmcNPvBIzjiW9+6/U9PrYruaznaS2LrO/f8+dnqEPctnQJCsViMvesPAAGQW54xwoAg9fR9 DBgDYCVBRz6Q32zE929NkFur33zwlmuvve62R998/q5Ok3P/7oRssdQ63YqMgOCMcfYzD7Y/cq7r sz97/3i8Y1wf0SwxC2nnh3fd+Fh1BKje08brqYUNzdrn5n3bsweIuSZ7bx/3WPZYal1q9RljLBv+ S8o4Kafei412BIVPtggNEWYZ5nDF60r2KyPZpbYud/a+r/ar3mbSTgnZjuPAwFLrzCjZ+Erf7y4X 4m27Rl9hizb5dy3sFNl+TaamYyA0Lavj+yvt0jpOp5JtqHZgzkqMcUNTa0lRYX6+f1/Lwvmt4Pf5 SooKG5vbcvrNA0OyNbqwNboQQ7LzZONwVDroggE3ffvPu+f3vOGvU3vaASCx9a27//lt2fl/u3ps ngAgN3z10D3/G3DTHWf0sHdMfR1AfNdPyxLDxvV0Z7UGj9t+evQvL29OfbHlVQ0ed/QpJx5U4UQA Ytmhv58W7eXmQU1ngBDE4zGziFE1r6mHb2AZez2ed5964acVP7/6/juP//XeOR+//68XZubn5cmy zLDF7dNbYsQpLdqvNSFZv+ijH6Sjb3vk+FI5UrtuQCw7OdnT5Nc+Hay1TseMox2NQfzWwsQ7PyX+ fb474EU/bWqv/9Z6L1mnjhdONnz9sPIZxAOqZ3Mzsx0Goe0HTo9l1DqMscchnjSsKOCxk9asOSyt rw1vqA1HEzJCqDYiVDfApCqDEmY1bbni7QVkDyNXcb+xJ5x52sEVTn3P7U9Gcp/ZOgPsIbPsK7NR PnD8MgB0hIT7fxtpctI6AEChHdhbtWXcg31+uLbPD1dvOvTJ1qrDSle83FY5vkPk2QfmArf99Ohf P+530+2/65a6DJN2f3Tfw+tOvPuG8f69lWIfuV0AkJuXzZn51g/bg7bC/sdefPlJPfan50FZa53v qqtSH8onT3YOGMBME1u/fs+8eanPwaee0p+Orp91xxPLYoK376QBdV8sa6XPlp92x63HlOzFi8Fy HNboqpl3z1wRkm1Dr7j/8iEu5bBU8+mDDy47/PabjyhMlZOs++KhBxYd/Odb9kq4dnJAhmrZk5Tl xqaWgQP6IoQYV6CxDTOvum1+M32w6rwn/nl6xV6szcS2ffN9/KAj+3n3gw2GnH2AIAjdu1WsWb+h tKQw+1cRJqRYPJEAgISN3ybC6Qo6yEChvP4jSoLr1jRIAABS/ar1Ma+4fdn2KAYAHNm+stbdb1jp /rP6DHLbmg/f/XprTr/c2wqPu/WRx/796EO3X3y4f81r/3jqqxoJAARXxfBRvfc6ZPzVs3379vvu u2/79u3MrxZEoxl+9E495RkAQuFwJBI9eOToEYOGej2eof0HVZZVSEnzK+T26a064jot2q81IRlu DIsF3Qttgs3hrcxSTqtpcmBMh87TOpXJI2yNQQwAMoaPliUO7b8XkaPWe8R42XFE+yzsDyF6tjK0 x8x2CGTv7YMe6yStwwAehzhpYMFxgwuPH1Kk/veHsWU3H9/zgkMr3HYRY4wxbGszKyPjtOWKt5ek evjRf/7t6kmuZa8+9/ke4xvvO8dIHmC2TofZkFn0lVmWA8kvA0BHSLjv2tgFWgcAzpWPOBfdLIR3 bTr0MVl09/n+qrrBU0UpEtj8aTvlJtmX5qIT2JfNEQKjz756Wl9bYOLFV3Ti6nOnat2eefMc+fmO s87S/5efr64+myJ4x1774APXnXbB3x599NFH/3HL8UW27tPueuTRRx999M9H79UCb87D6ho644GH bjjM3/Wryjmwj0O1nMhV6zDGiXiiLRItKSrETBz9Ln52zpw5c159+IxSW5/L/vPGnDlz5jxyarnI Tp4VyealL8/6eH1I3osyOPsPGzduvPbaazdu3Mj8akZpcVEoEk/EEzjrTdCSFE1IUkKSJOkAu8+A c4DSUdcPYtGQYYH5K39pO6G8ALesWxnqc+zExq+W7owP7e9M7Fm5U+hxeDcnAEiNP3/w8jvfbmyW /b0nnnnB6aMLSQmkhmUfvP7B9+sb4sjb87ir/nhKd6Fh2Qevv//9+sa4o3DAYaeffeqoIhtAfOtb 978oHT02tOjn7Q0tydJDppxcvvaTrzc0tgSFHsdecPGxvV2CRV1y26q3//PqqmB03UO3f152+OV/ nNzNJjErYoAEV2GfQ/9wGd5z73sfrht/yVDbtrfuebzu7HuvGpxcP/+Vd77fsLs1Lvp7HXrmhWeM LhTjW9+6/4XQISPCy9fWtrbEfMNOu+ScQ0ptAFL94rkvfbCiMRpqi8oAkDf2mjvOHyBmK8aBxxtv vAEAzz///CWXXJL6YLfb33jjjZtvvtkiF0IoHo9ZPD8DYywgFE8kEMCYocO7lVVIySTG8qr1606+ ZPqehnq/12v+5ofs9Da+9a0HXnWdcVTzB+/81Nj/8r+euPqhx+vOuvXINbMoLSrZmdaE/jU5DboT AOSGbx6575uhN982ucIGAJE1s+6ejS7464WDXWzNjK6f9ddZ4oy7zu/nBJBq5v/9wVXH3XXD+DyJ FvW+y4e6AHDb2o9fm/tja1yadfcd5YdeeFps1jNpOcnEd50ZmTf7vR83t0qCt3LM6Zee6vvyWd00 MY5Pp04HZ9baZUYnaR2JjGFED/GLVRIA7GnBe5qzec0Ijm7/+vXZHy+rkbxVI8eVKFniW9+65/G6 abcevfWd9Hjd7i3oVhLfoIzdjOtO8q3Sm7W4ftAHhg2mz7TnWVbX0koDwsFV7/57zpKNzZK/zxFn XXja8IAIRns70r6ONLMzzvG9/uCXQ2/+v5MrbFLN/L/f94ntjDtvOapYSGx752+P7Tr9r1ePcTcx 6mWYcfO2ABi0fcZ1J3lXsp1Ixk7LZvhZdLbWJST5p62twVj6p7Vin31IhffwfoHqHcHvNraIAsST 1oWYTFuueHujeBSCPa/nuMP7ffDs9kYJKmSWBzn73quGulh528l+auukhsXvEG5lxvTxRWKGISN9 Tcoknn3vVQNDVDlm7skY3VF+uT1xo7z1vUdn/tSCAeRoW8g94YY7p/V2sP2yhbZb6LbaRtPIQcXS ceTsdjuALtA6AIiOe8ix+gnn8r9LpeM3HfZEn++v6fPDNc29JjvbdrEzxLe+df+s2OGjw0tX7moJ ysXjpl542vC8ZlaUdeO4lbpADgChxNbPnnn7m9X1MWfl2DMuJk1WDoPebhgVCY0L/nGvtR3zo3Zd 3cghhs6YaZrpcRM6R/c6T+vKJ0+OrFu34Z57+gPA5MnaiXnzNtxzT36fPu6BAzMvQwMISAAEgggA SBBEQUBgpj/M/teZTZa5Y3so2iP3z6Y3VYy2uiDK0g2Tq9fMV/d020V9qHZq6l5TtkIqZBN1WJfQ XnLVOoxxS1swkJ9ns5lWLggiAGARIUCiIIiiAABS7Q+vPDX7s5V1MWfJsOMuuOrcQ0ptAHLbyrce f+HzVTuaYkJgwDEX33DRYSU2qWbBrMdmf7GuSRJ8PSdeePP0vA///uTS1kj1n2a8V3Xin+/6Qy+7 VPfjy4/N+u+aBhwYePwl119waIkttmHmDU96Ljql8ZVZX9cN+7/n/jzGs9e9w+kcnn76aQB4+OGH U2r28MMPOxyOp59++qGHHrLIZbOJgfy8lrag2+1iWryXFl0fT2oLzU67M56IpnZAx21Rp90584cr 1LMO0XXBwY92VIs4nBQdtrppKx0+0L1g+ZbwhHzpl58bSw8dOWbHty8t35Po361h7aZYxbE9PQik mv/NfGVV34vuvHogrHnrkVmzirtff1SeUoS0+7NnXl7ec/rND44skBrqpAK7tHv+M6+sHnTp7VcM 8oXWffzkc8+4Sm85qdIGAImGRUu8t13/lzK84+O/PzTruaHn3Xbz2QXSprfvf+LtxWNvmliYZNVV LAIACP6hZ1x0woYHFk+8JX0XkrT7M7OK2AgFg8eWz5m/qjYxtFI95izpfciU8Rf2K4Cdn//7H2/O GzN0el8ASDQtWxW47Yb/q7C1LX/hvlffWztixjBXcNnrb67tfcUdN/ZKrn71/teFi26f3s8p7Z6X mxgHEpdddtmcOXMaGxuff/55AHC5XIWFhdOmTcuQDeNoNArmP+IhhBKSVJCX/+x9D594xKTUY58j 0cjQ/gPfffqFZ9945ab77y4qKDBbg85KbxMA0p6v3//l9+fdPrXC64BdqwEAGbQoTpSb/aCn0gsF o47q8+HHP+057tQqG0S2/LjeNuyS3q7cNZMWNbUDBfkHnXLRueG7n2g8569XDHXFt77FSoy3vn7P sryz7np0hCdSt73eEQgEdA00pXOmg1WN2dJJWkfy0oLEFcc4vl8vrd4pTxpse+ijLG5fim/75Ln3 d4258v4/97ftXvDCv5ZKPYizAj1eEN/ypvJZqvn0nywTSg66UPM508yyet6TNFrdms/MLGcKObF9 g/eamx/s56xfOOuR2a91v/3KcflMe0vpj7RrWMG7a7eFJlf4W9asileVRZZvbDui2N+6aV2wdGIv b5IldqCe7TKYbUlFWTptl3bPe8hkBmXstOJ2XrN0qtYhQJFEcu7S2u1N6buJ7SI6fWTJ1IPKxvTw L9zcKme75cEwbbni7Y3i0WMZb97849cbkt1PqXAASCwP0tHsn7Yutvnjt0m3ki+y48BMvkZfjpl7 MkZ3lF9uV9zY8/Rb7j0dQKr75ol/LOh9SKXdyi+ztd08HNVhrWDWjgNyc7ssvc2ZLtA6LEtIsMWH XS80rXKsnSk2Vm8ddn3Flrfr+58qO8yfrJpoXLKi4LYb/lImBle99sBLr3X/y5UHsaKskn4DDAoj xzYuk6669oEZ3obvn3n47ffGKCYrl0Fvd/eytau0r7UdS1XXjqsbts6YaFpGDWQMRMfrXudpnf/O O+GeewCAWoMmVp/9d96ZzQI0A7OBYPV/1dZM5s7sapqO/42331jAsNUs2XrHmFevNZ9amDiTttPx hoKZEdN6MmPkxiphr/fj56p1soxb2oKFeQGHw2G9ETV1FgPGGIO07e37H18y8ubH/jIyr7X69b89 fL+r/KFpPe3IVTbw6IuPvGFwCWx7747bZs6ZMObq3r+88cJ3gcufeuNgf2TPxt3OosLCC2+YsurG b49/+O+TS0QAnNjx/oOPLx1845N3joBlz/35X/8s6/W3kwswSDs+mb3qgmsfu7i7z+nMfpssp6u5 9dZbZ86cWVdX9/DDDwOAx+MpKSmZMWOG9ZjZ7fbCvLzm1ubS4iLmawjjyejlJ5+gfsUYB6O7EpIE AMHorguOO5Jctn7m4/92VHM4HJWOu2XPUTmqj7B9+Y5YZOuymsJR/QoqRvZNrltVFw9uXttcNLyv D4FUt3RhTemkY4cEbLbAoMNG+nYs2dCmziGpbulP9RXHnzymzG1z+Mu6FTiSdUsW1Vcee/TAgA3Z 8gccfVy3+kU/KTe0ClWHjSmxAdiL+3Vz2ftMHFZoA+SqGFiKWve0SRnq0iFZVcQGufLcEE39/Ktg Kxg8sn+REwnO8iGDArH6YCItao+J48ocCAR/94FFUmNtSAa5eUc9VAyqdCHBXdW/MLJ9R0hujxgH EPn5+dOmTSssLHS5XKrnzs/Pt86FEIpGIxZ7FgRBCEXC11146YlHTHruzVd/f+UlGGMBCYIo+Dxe l8MJGFttechCbwEAZKH48JMP7RlwOezZzZlsB11N7x985MDokoU7EwCRLT+ut484rIerXSqRk6hE YruvND+2ddnPm1vAU9q7ZyCX3z06Yzp0CJ2kdSTvL0lc/3KkokB490bPiu3Jtbsyiy7VLq9uqzr6 yH4+Abm6jT9uuCtLQ2xq1ohxlE1NH6PnWVY3o+VE3Scd0d8vCo6yMccMtW1avC2Sjb21FQ/u76lb vTuOW9f/3NL76EnldUu3RHBk+8qmgmF985hiJ3Jpi0mPmc+grDqtPXSB1iEAhEBASEAoLuHVu0NJ GRf7HLZcHqPImrZsuOJlrXhS42cP3njtdTffP3uZ+7grLj0svTiaswfJmf3T1okGt5JTbGZRTrto f9yYbPjxjY/bDjnnhB5OZOmX2dqedZOtFCwLx5GD2+0QukDrgoseCi3+Z2TNq3EZRQ99VA4Mtm2e u2PU7VarzwAAQvfDRpfYAJCv/6FDbJsWb4uwoyymgN0nTRoYsAn2kiEjSpPpQcxt0LNAavzsoT/d kOZPf/80/Sw4dkUZ7JiZVckihmTojJmmtSt06Xjd61St8995p3vgwPw+fTbccw/Mm6dbfW63zOYD wej/jOYuG4+cq6NhVcqQzeTq1frqPqcLGTMjppA56shUQrvIVetkLLeFwj6fBwAyPWgBQEmU2Pnd N3t6nP674QUiiAXDTjm9556vv9kRxxiLRSMOHlLqRMhZOXpkYbSmJY5Ff0VBdMP3P65rlD3lA/oV iOmisFJhYtd3X+6oPPnUkQWiWDDimPH+Ld+uakliDLJQduK0SX0L3A67kONDIThdSUFBwYwZM4qL i91ut9vtLi4unjFjRkFBgXUuAAjk+9pCYRmbWttYIlrXsiL1X33rytbw7nhCiiek1vDu+taV6qlY gj+Rg9MpdODmWmf3MT2ld1ds3xLZ4R16Wr7o9IzuEf54fU339TW+QWcW2gDiofqQtGPuPX96FwEA lhKoWzimPqBXDjVGhLwClxYcyKGmqODLT0c4gt2fZws3hpOpi2+bx+cQAAAQEkSHK+1rkSAgGQMG 2aQuZoNNKzLvHjncGAJPNw+xhwWHNi/4cP7CzS1YFBJNjXJ52vtqooKAAGQMAEJ+r3K0fPW28KD+ 0pY1De6qSq/QHjEORLJ/KD4AAIJ4LGbx7M9kMulxew4aNlJKJm9/5MGmlhaEEBLSLlXGMjBf/qCR WW8BAJAtvziXVzpkPehaDm//I4YlX/lh+ymlsR83uMZc2d0BEDdTCRqqeTmJSiS2VRx31dXuTz6c dfeHnhEn/mHq0f18WTe3M6ZDx9KxWqdj3W55Y418weH2U8fYFm9OtoQzLKcko80xwRdID6voDniE lqwqMjNr5DhapDH2PMvqZrKcSPTkpTOI7gJnsjYYxya5qFF0lA/vCW+vr28OL62vOGzAwGDB/GXb W32rdrsGnFxsk7cxSkjk0haTHrNyIhk7ifm78wAAIABJREFUbS9Nb6dqHZ21PTCmrVlKrnjZKp6t 8DjtxWIauXqQvWC/snVGt+LIYsiyKSd796TR7rhRblz0xkeNB182o5cLZRuaktqetXmxVLDMjiMX t9uxdJ7W+Q6+JbFnkdS4LvrLB7DhPcFd4hl9RxZViC5PenwFZ54juTsYxyjAiLJYeW3e/JSpQYKg DmJug64g1Xzxr4fe354AcPSe+n/XHU5s17cFJs744/EVqbeMJHZ//vjMrRYVWdsxs27IfFnB0hkz TWtP6NKZutdJWucfNy71YcM99wBAevVZOdg+TAdCZPR/RnOXjUe2RDcKCLErZchmcvVqZeJyu7Y1 M2KasJmiDhzabl3C3pGN1mGMk5IUikQLA9a/k+lJButDYn6B0lfOQIEjVB9MAoht6z99/a2v1jXJ NiFRV5fsjgFs3U+//Q7vnNcfveY177gzL73klCF5utLaatqkzS9ce/5sBACyFIcewagMAMheUOrb rx8PzqGx2XK7HMnP94ci0aQkYZuN+atbPBGNS5l/mYnzBWhO59CBS5vI23t0RfjLJcuwfcDhRTYA oceYiqYvl1QHHX2PKrMDgOAt9Nj7nHnXdWP9xGSIb039FdwBp1zbEsWgXJQKniKPXNsclcElAMiJ tlbJ08cjAsgABv+pg12XWWKzikyRapf+sMfTfwrxgrrohrnPvtd4wk03HNHNldz2zt8e1V5NYBRV yBsx7YxFf3/iruri/Pwex1z0+/4uAClnMQ4kWlpa5syZ09LSkvrFOPU1m20LsajVfb6CICSi0da2 VpsoThw7/puffkxIUlKWEUKqzbXUgMx6myLXCCbLQSdw9Z44Rnjuhw2D4794xl5TYQMLzUwihLAS ycuR5gi5KJ2TqERiMa/vkWddf/jvtnz5/JPPvlF+1yWDsiyjU6ZDh9BJWkdySD9xVE+xPojfXZw4 dYz9sfNdN70arbfc0ie68p1yfWs8NazJaGsWe1ABwNKE4lzSaAUarW5Gy4mTISVDMtQUFX1+J2Ln StZRGZ09RpWFvvllbc2e4tG9/fmx4e7/LVtbsh16nlbhYNcr7c6hLUyydCI5+YuMdIHWYQCMQQYM AE6bMKTCKwqoPhiXktnPfsa0NYMrnkVbsqSzb3LdP22d0a1cWJjFkGVRTtbuiaJdcaPc/NMbH9Qd dMklvVPammtompN5sZAwo+PIye12CJ2qdR99PP+Uk09Egs1ReZij8jAASIZ2J1u2qqesMmMp2BxJ mQsp1BARfX4nYkZZLBjD1N7rEVvJhMvvOEgGABDc+fTSoODOKwikt7dKEZdoXZHdyo6ZkfHqhqkz ZprWvtClw3Wvc23d9u3xlhZyuTm1+hxvaXFs3w7du7dPZrOBMJmzGcxdTt6WzunO90CoPpiEopQy JtvqQuAJuAUApKv0XDtDNvbVq6WJy+kS28KIqVhHHdH1L2UsoR3kpHUY43AkahftziyecIEBg7JL WvCW+JI7GyJJ7BYA5GhTU9w70Cvg0KoX/v5y3ZT7/nZiT7e0cfZ1d24CjDEW8wedeNndx5294ZNH 7n3omaonbhqBQS0LQPAV+xyDLn7iron5xLjEfsEYAEFGwTj7nKamppkzZzY1NRUUFKS+Pvvss6lN 0NYZnQ6HXbSHI1Gn02m2AO2ypR+aiQEnpNZYogUAnPaA3eZHihPkC9CcTqIjd+Qgf/9RxQ2Ll0V6 jih3AIDg6zOmtOa7JaHKUd2cAAC2kjEHF+/87/zqmmhSToTqt22qIaIXW+nosYU7P52/vDaalMIN O3eHhNKDxpfv+d9XG1qTWA5u+vrznYVjDyrLbs3cui5ATp8Lt+5qjGMsY7BlXxFORlt2rPh01lMf NQ0+7eQ+LuJEpC0mevL8TiQ1rfn+5+YMz0loWfXtlu7n3PqX/7v1uvOP7utFALmIcQAyb968lOee Nm1ayme3tLTMy/QwNQQoFosi8zVkhBDG8vNzXw+Fw3OfmLnyky/tNpvX5RK0jc8ZfGxGvTXPSWlR ZliDTmLvdughnnXz523wHzy2xAZgoRJiXqU/snn5thDG8dplXyxv/+MCFHC0ZuOWhqgMgruwvMiB ExLO3MDOnA4g1Xwz+5k3lzbLgKOb5z0386MNIRlw24p3npn1xY64ZXkqnaR1Kmcfaj9jnP35r+Jz FyZmL0hc+UJExnD+4RmeNmcrHTnMt+Or77aGMY7XLPvfinCWC9AZzFrWaQhJDFY3c3a846tvNoZk nKhZ8sXKZN+xPVwmler0R/D0GlHUuOiHnYFR/fOQrXDwQHH9wp9bykd1c5iInVNbTBqYlVFlV9Re DexUrcOA3XbxzDGlMyZWXjqh8tIJlTcd2+OUESWJpLx0W5skWz5xKF2E2bQ1hSteroqXFR1h4lT2 S1vHcCtiNkOWRTmmWXL1ywTMccfNS+a8VzNq+il9lR9Lcg3VOkqdMjmOHN3ugeBhAWD9/2ar/21c +NmWteuzEw3v+PqbX9pkHK9Z/PnqlLkAVpSVpcK0Oz4XXHmBFHnObBpsWpGlHdPI7eqGrTNmmtbu 0EXP3uleJ2rd9u3x775zTJgAkyennsWRfvLG5MmOCRPi330H29u5mmkyEMz+z2zu2m9SBP/ACf0j 383978qaUDweqqn+ZO6ixJAj+nnAWCnbnjCvXjNc3Wc/d3IzYqx6TUrYa3OXk9ZhjFuDocKCvFw3 rtoqJxxVtfOjj1c1J3Gyde38D7aWTJxYacfJUEtU9AXynUiqX/7Fj40SAODIrjUbasJJED0lVaUu OR6XAbny3Lhle10spScVhx1ZtuXttxftiiST8baajet2RjohkuF0GnPnzk2tPs+YMSO17tzU1DR3 7tyMGUVRLCzIaw2GmD8zOETX3G+Xq/998MMaGdvjUiIuJWRs++CHNeRZh9iRr8vmcFJ06OqmWDBo aN77X5aN7p5at0P+/iMKYpsdo3qm3zhhqzj2ivPjb7z78C3PxwF5qw456/LeZW4lu73qhMvPjrzy 9gO3vJAEb99T/nj18ZVHX3pe+LXX7rmpSRICvQ4567ITumXerAXmdamTSPAPnTzhq1mP3fJT2RHX 3Hxm77IsKpIaP3vwxs8AkKuo17AJl912zFDyvbrIM/B3J/Z+/pXbb3jFXznuhGOH5C23lE/wBvCG 1+6++TUAAFvZ2GlXnDO+KBsxDlQmT548b968yZMnp34unjZtWuprxoyxmNWehWQy6fV4P13w9QkX nXXyUccWFxRFYtF3P/ukX4/eANDa1pbhGdCQhd6aodOibhmbwhx0Yg7aysYd5vvkbXzGpcodlTYT lbCVTJh63LqXn/rzAuTrdtDxx/b95eeMtVuDkw1L5sx+bGcYC/b87mPPPHeIFwmYnibkZU7nTwdv 644N67YVh2XISzRtW78+MTQG/Z2R+s3r1xdNlHCVI4uLuU7SOpWTRtneXyIllP3ndW34w6XSgIpM P+w5epxyycmvzH7ytvnY323MpKOqftmYTW2ZTGj2aVRYVtfKcgKAs/LoI/CnD9+2vjHu7XPEeReO zkNm9lZnZh0FAwba3/vCdtI5+QKAUDqid/SrhQVn9vIJZmK7cmkLu8eyM6rM2qGdGtgZWucQISZB KJ7c0RQr7u44rG+AyijJC35p/nl7UECAMThE0/cdWE5bc7ji5ap42SB1gIlT2S9tHcut2LzZDFnm cszcU85+mYChDD3Q4k9XhVpcL9xbLQCAc8B5t1wwKMdQzToczZ4MjiNHt9sR6tfZWgcAA44+P8uU FKKz18DIJw/dvLkl6e1zxPkpcwGsKCtLhcnSlew9phWJVnZMJberGxOdMdO0DBooNy+b89zcjVLb 1lnPuC6+7CTT3cJ7p3udp3Xp1WdlmzP10Ofu3dNr0O2DPazIxuj/bMxduz0UCow9/6rw2++88eCn rRI4CvuOO/OPp43IE3DIUKknybQnzAsZSxOXw9zJ0YixTOsIZgl7be5y0rpkMtncEiwtLbHZbJl3 QGPAynObQaw85aarg08/fe259QmxsP9RM275fQ87Btuws88c8MiTl09/Kr/n4b//3ajAIozlRM13 Mx+/Z2tIFhwFfSZcdNUoHyB51JnHffzo3Rd9U3nC7Q9cNKDq1Fuvic58+bYLH4kB8vU66rJb+1V6 tA3XGdrM2ddMmTJl7ty5/8/efQdGUeZ9AH9mZnvJbnrvhSRAKKFDaEFA6tHkTlT0RMF+vHe2E9t5 1rvT05OjSFXQs4sCAtJ7DQklQEghIb1uku2zs/P+MbLZtM1CKvj9/AOZnZ15ZnaySb7z298zd+5c rVZLCFm0aNE333wzZ86cNl87sVis8fAoL68IDuCaN41ZOOTfzl9+cmyJ1WphWRshxEpbWI59ZPjK Dj0OgKaotLS07h7Dbc6a//Xf/lPxh78/3tv9vyfMuV+/t8E49anfD/SVEru57MiKf+6N+tNLM0Pu lHLnDiOViF99+YXX33jHYm2hV1HqonsJITzP0zRtNJnMZjOhKMJaBw5I/nHVxmD/gEkP/X7/iWMq hVJ4s96z5vOuPoAG7rzo9qr9/3z3zMgXlo706sgPJ3ShO+LbwfVV95ef4xz/f22ONNyHfuF/5rJa nhAiYsjrc2RfHGMvXG/oifLPu92s2ILfNNdX3dfZTG4tzfN8kEY6MkarkTf8VVNjtF0tN14tN5pZ u3CzbVgANyYYdS7QNrzX3Qlu5cdud3J91TkIfTa2btvRZLmw0FULDlcn5Pb/LQtuieurTvX444SQ 2K++aqPJxvXrV++5hxCi/+9/mz5kzlr/6nrmkdceiHH92cmuY8373+v/rV3wxuLEDntj6HG/rvdA PM9brdYjp8+NHT7E39+nu4cDv1GlpeUHjp8eOShJIpG4rsP75NiS0b19zNYaQohM4nnwYiUCaOhs +JHRLrzdTiw1VVaxhztzQTvYrZWFtaJYHw8JRQixW2rK62ktJgRoGW+xWFpra0ZRFM/zFEXZ7XaF XK5SKgkhLMsm9UosLiv9z6drD548oZQrhKTGzSnXO4sbL7q9/tKuvTWxc/tpb8+/i+6gbwdXV52z f26z3j9S/P4Cuc7IF9fYzSz54ih7obDZNJEAbXN11SX7cpUmqs5KFdVavjpd5vwxYiGIpinh/ZAE KO19vFHYAm7Ce93t7RZ/7HYzd686QkgbvZ5v0u3+Wxa0Q9tX3a0XOBNCKMLQhtMfPXsh/qFXHhug 6tY/OAgxX1z1yqqLZiJL6sgrvSf+ut7j8DxfW29gGJH2JmcgBOhAnp4ahhHV1ht8vMRtBiBm1my1 2QghhELTZ+gKCKDbw15z7KO/f3lNmfi7x8La6PraCK1Omjfz8udrXjvC0TTPizyjhy1cOFjbzb+u 9EgURVmtltbeOnlChABayKCFoJmm6c0/fvvdzm1WlpVJf61E4HmedG8A7fpFt5Xu+uCfW68zISkL FvdR3Z5/Gd053w6urzq1xFZv/fWdU2/mV+yxrtjTagc5lcR1G06AX7m+6qI0ZGIot7+IqWzexJJy /MuHqvnUULu3DAE0uAXvdbe5W/2x261cX3XOmpc/37o74bcsuHWurzqhovmiOxtqXvsskMY98PZH t9QvpjPIei9+76MO32rP+3W9p+F53mazlVZUhQT6u9N/A6CTiESikED/ssoqT40HTbfxE89iMRLC 3PgPQKdDAN0etNfIP70/8haeSMlCRj/w3OgOH9AdiKIsFktr2XFiVGxmbhZFfq2DFhbyPO+hUnMc p5DLf51WmKYJRRKjYrtw3M25fNFFAROf/efErh1QR7uDvh1cXnX39C398nyA3tr2m6dGapvbp7Sj Bwd3KJdXHSEkWstrZdylaqrKTPGkUQot3F8LUvLxnnb1bRNDQQ+A97rb2y3/2O1Wbb3XCW699lkS Pu/v/2y68E74LQvawb2rDlzqeb+u9zA8z7OsraCobPaU1DZTP4DOQ9N0XEzkD9t3R4cFMwzt4moU M7KMfLPzl10yQPhNQwANPRvPWy0W0so95P+8+FrXjgZ+G1xedQl+xtdSc7t4RHDnc3nVCbxl/Kgg FNRAx8F7HXQ9N97rADoYrjroZEL589VrBRGhwWq1CuXP0L08NerwsKCsvILE2CixuNVGHA82npMQ oAsggIYejaIolnU1TQ1Ah8NVB10PVx10PVx10PVw1UHXw1UHnYrneY6zF5VWXC+uvGfmZKTP0O14 nh82MOnLH3Zq1OrQoACGobt5NiyAG/DxEOjprKwV75jQxXDVQdfDVQddD1cddD1cddD1cNVBJ7Hb 7SzLFpeWn72QNWHMMIVc2t0jAiCEELlMNmH0sLMXsopLy1mWtdvt3T0iAEJQAQ09H8u2OusRQCfB VQddD1cddD1cddD1cNVB18NVBx2Iv4HjOJZlc64V5RaWTkpNCQsOtNkwJS/0CDzPh4UETkpN+WX/ 0aja+uiIYLFYzDAMdUN3DxB+oxBAQ49GUYS1sniHhK6Eqw66Hq466Hq46qDr4aqDroerDjqKzWaz 2+0sazOZzXV6g05XX2swaTzUC+ZOk0sl6PQCPQrLsuHBAQvmTjtw7PTJjMsapVyrVXuolHKZTCwW 0TQtEiEMhK4mOnjwYHePAaBVUomott6wb99+ixX3k6GL4KqDroerDroerjroerjqoOvhqoMOJ5fL /f39k3rH+fr6KhQKk8mE2mfogWw2m1QsmjlpnNForKioKC4uzsvNMZlM3T0u+O2iSkpKunsMAAAA AAAAAAA9lEKhsNlsHMfZ7Xa73c5xnFAT3d3jAmiDUO/MMAx9g1gsNhqN3T0u+M0RGQyG7h4DAAAA AAAAAEAPheQEblMcx3Ec192jACB0dw8AAAAAAAAAAAAAADoF192f2BDxPN+9IwAAAAAAAAAAAACA DkdRlNXKymXSbgyBb2LiS85ur6s31htMRrPZamU5O08IYWhKIhErZFK1UuGhVjA0SqoBAAAAAAAA AAAAuh9N06yNU9J0N/ZjcSuANlus5VW1ujp9SJB/XHSkWq0Qi8Q0TRFC7HaetbH19caikvKLWfla D5W/j1YqEXfysAEAAAAAAAAAAADAFYqirKyNoqhuHEMbLTg4zl5aWa2rMyQlxPn7+dA0Jcz6yrJW 4YkURVEUpdWovL00fRJiSssqLlzJ1qqVAb5eQkINAAAAAAAAAAAAAN3CamUJIT20BYfFyuZeL40I DRo8IIkQYrOxzQfK8zzP83a73WazURQV4O/j7+eTc63g6rWiqLBAsYjpxLEDAAAAAAAAAAAAQCso irKybDdXQLf2gNFkySkoTk5K9PXxYlnW7sZsiTzPW61WmqZjo8I1Hqq085fzr2YigwYAAAAAAAAH hULRv39/tVrd/KG6urqMjAyj0dj1owKAnsnFOwYAuKPntuCwWNmcguKRQwYoFXKz2XxTW+Q4juM4 Hy/PkYP6BwcHJ8VHS8Q3MdUhAAAAAAAA3MFKS0t37do1cuTI5g+dO3du0qRJAQEBXT8qAOiZXLxj AICbrKyNdGsLDrr5Io6z514vHZiUoJDLLBYLf0ssFotCIYuLDLmSU+BO9TQAAAAAAAD8FgQEBBgM hhYfMhgMSJ8BwJmLd4xOIruhK3cK0HkoirJau7kFRwsBdGlldVhwoI+Xp9Vqdf1kYQbC1h61Wq0K mdTbS1NUWtneYQIAAAAAAAAAANwkmqZFIpFIJKLpFkKwFmVcynZzTYqihI13b7oH4AJFUVZbD2vB YbGy1Tr9gL6JQu2zi2fSNL1t2zaRSDRp0qTWapz1er2flzY9M9vf1wuNOAAAAAAAAEDQjR8EBoDb TnveMSiKeu+99yiK+stf/uLOdpw/39/mlmma/uyzzwgh9913H8dxHfvORlEUw9zczGodOwaGYZqn ljzPcxzXUbtokePAO/yUNkfTdPM7E3a7vZPaOdjM5rQXXqjasaPJcq9Jkwa++664c+ruKYpiWRtF Ue5c0p10yTUNhcsqdb3jowkhrk80TdMrVqzYuXMnIUSn091zzz0trs/zvMVijgoLul5cFh0e3NrW TCZTfn5+WVmZMNeEQqHw9/cPDw+Xy+VtHgAAAAAAAADc2QoKCi5cuFBRUUEI8fX17dOnT1hYWHcP CgBuAzRNZ2dnX7p0iRCSl5cXHh7eUcGiENV9/vnne/fuFXZ07733dnj+u3r16r1797pTu8rz/Nix Y5csWWKz2TpqABRFvfDCC3l5eUJEa7fbIyMj33nnnY7afouEfa1atYoQ8sgjj1AU1UlZsBA9X7x4 cffu3dnZ2TqdjhCi1WpjYmImTJjQu3fvDo+hbWbzueefj9y5s3ezh4w7d54npG+nZdBuXpUMw2zc uHFHs3y8NZMnT164cKE7l1yjCmjObq+prU/u35tl2da+YYS2G6tWrTp48GB4eLjNZvviiy/mzp3b 2voWi0WpUl3Nq40IDWRa+rBDcXHxuXPnvLy8PD09AwMDzWazRqO5cOFCXl5eUlJScHCrsTUAAAAA AAD0fCczLg/pF99kofsZzZkzZ9LT0wkhKpXKZrOVlJSUlJT0798/OTm5gwcKAD3VLae6FEX9+OOP /v7+hJDvv/9+6dKlbW7KdQW0SNRQyrl58+ZDhw6FhoYSQg4ePMjz/L333ut4tP1BMM/zx44di4yM FIvFba7MsuyJEycWL17cgQk4z/Pl5eWxsbGOeuTi4mJ3asNvGcMwVqv13//+t3DPoLq6eunSpRKJ pMNrrkUiUXV19fLly3NyctRqtVKp9PDwIITYbLarV6+mpaVFR0c/8cQTXl5eHRXos2bzhRdeCN25 U9HSowpCQoUM+p13RB2dQbtf1M/z/J49e8LCwqRSqevbHjzPm83mgwcPPvDAAzddAV1Xbwzy96Fa L38W9i2kz0FBQTKZTKfTPfroo6T19wKe51mr1ddbW6Or8/HSNnm0qKgoMzNzyJAhcrk8Ozs7JyeH 53mTyWS322maPnv2LCEEGfSdxGazff755yNHjoyOjnZnedcMaePGjampqREREV28awAAAACAO4nJ bDmZcTnveonFymo9VIF+3oP6xp2/kpeemd08gHZTQUFBenq6UqkcN26cECGVlZXt378/PT3d19e3 O+ugbSW/rP6fbvLj86Kk3TYGAHCJpunr169nZWWFhIQQQrKysvLz80NDQ2+5rFUkEp0+fXrVqlUG g0EsFnt4eAQEBCgUCkJIQEDAsWPHdu7cybKsUqlcvHjxoEGD2p9dKpVKT09PNyug6+vr27m7Fgeg 0WiEAfA8X1tb2+G7cBCJRLW1te+8805VVdXjjz9OCFmzZs3rr7/+/PPPazSaDqzsZhimsrLy1Vdf FYvFEREREonE0SLcbrd7eHh4e3tXVVW9/PLLr7/+ure3d/vjb9fps6BTM2j3zZkz5+jRoyzLurPy jBkz3NxsowC63mAKDw1u7fMCwtW2evVqIX2WSqV1dXXTpk2bMmWKxWJxsQ+WZdUKeW29oUkAbTQa 09PTR40apdFoeJ6Pjo7W6/Xl5eWlpaWEEJFIFBYWdvbsWU9PT+Gb2dnFixcff/zxhISElStXCrtY t27dZ599VlZWFhQUtGzZsrvuuuvTTz994403nJ81YMCAL7/80vn7Njs7+9lnn71w4YKfn99LL700 ZcqUJjtqc4Xmg2mipKRk7969VVVVMpmsf//+gwcPpiiqurp6165d5eXlSqVy9OjRsbGxhBD3FwoO HTpUV1c3derU6upqlmWF38bar2O31gTDMKNGjXKe2Fo4iilTpjRZ3qk69RibcLxMXbAvAAAAAIDu cr2kfPfhM2bLr1PZV+vqqnV1l7Kv2e3tKpS7cOECIWT8+PF+fn7CEn9///Hjx//4448XLlxwGUBz ussHdhzMKNCxhJJqw5KnzRoVJGnPWADgNuDctriqqur777+Xy+VJSUmOL++//35vb29hhVtoZ7x2 7Vq1Wu3p6ckwjFgs5jiupqZGeEgmkwk5Js/za9euHTRoUPsPh6ZpoQeFxWKx2+0ikUgikTjiYJZl WZalaVoikTAM4/4sizc7AOH/Qs/rDt+FQCQSlZSUvPXWWxRFvfjii8eOHSOEvPjiix988MGyZcv+ +te/BgYGdlQGzfP8Bx98oFAoPD09yY0uxhKJhBDCsqzdbpdIJH5+fjU1NR988EGTaPHWtJk+CxwZ 9IB//7v9O70FHMfNnz//wQcfdHN9k8mk1+vdWbNRCw6T2aJUyFoMoIXOG6tXrz58+HBwcLBcLrdY LL/73e9SU1OFa92xJs/zTW4lcRzHMCKjqWlInZub6+HhoVar7XZ7fX39/v37nZ+o1+spiuI4Ljc3 t0+fPs5P3LRp00cffdSrVy/nla9du7ZmzZqYmJjNmzf/+c9/3rt374IFC+bPn+8Yw8KFCydOnOic Plut1ieeeCIlJeWLL744ceLE008/3atXL+cK3DZX4Hl+8+bNTQbjzGaz/fzzz0lJScnJyRUVFd9+ +21oaKifn9+2bdvCw8Pnzp1bVFS0fft2b29vjUbj5kIvLy9hbFeuXLn77rt5nj98+HB4eHiHxKkd u7XmKIqKiopyfOk4iibLO1VnH6MzxwF29o4AAAAAALqR0Wz55eApk8UaGxkypF+C1kNVrzdu+eVw bb2htae4+QnuyspKlUrlSJ8Fvr6+KpWqsrLSxRP5+otbt11Upv7h8QQtMeoqamivtj/CDgA9lJvv GCKR6OjRo2lpaaWlpSUlJTzPa7VaiqLGjx9PUdS+ffvy8/P/8pe/UBQVGBgYEBCQnJw8fPjwJrGm i34FPM/TNK1UKp966ilCyNtvv71x48bmw1i8eLHFYml/qwrH081m86RJk4YMGbJy5cqKigphyjST yeTt7f3444+npaVt27ZNqN3s2P4YLW6qM1pwiESiS5cuvf/++wEBAY8//vjmzZuLi4sJIcXFxc8/ //zKlStfeeWV//u//4uPj29/Bs2njwFYAAAgAElEQVQwzIEDB2prawMDA2malslk999//88//5yf n08IiY6OTk1N/fTTT202m1arLSkpOXLkyMiRI9tZBC2kzyFffeU3b97F1FTL3r0DeZ4QwhkMxatW Vfz5zwNvnNLitWvJokUde4bdb8FBCDEajcIUfTe18TZXa1QBbbGyErGY42zNn0nT9CeffHLkyJHA wEC5XM4wjEgk+vLLL1esWGE2m4X1bTZbVFTURx991OTpdrtdJKYdd8IdiouL/f39y8rKqqurr127 1vwaKikpGThw4KVLl5oE0DExMd99993mzZvz8vKEJZ6enm+//bbw/6lTp7733nuVlZU+Pj6OqRsv XryYl5c3a9Ys5+1cu3atuLj40UcflclkKSkpiYmJW7dufeaZZ9xfgaKo5oOxWq2bNm1KTEwcNmwY z/M2my04OJiiKC8vL6lUarVadTpdfX19cnKyUOXt6+ublZUVGxvr5sJhw4YRQq5fvy4Wi/39/Q8c OHDt2rXr16+fOXNmxowZPj4+tbW1e/bsKSwsFIlEffv2HTFiBMMwPM+fOHHi4sWLBoPBUUzNcdzB gwczMzM5jvP29p46dWp6enqTrdXV1e3atau4uNjxLJvNtnnz5pSUlKNHj9bV1T388MN5eXnHjh2z Wq1CLXx8fPzYsWPXr18/bdo0oYPKyZMn8/Ly7rnnHo7jnPtdOI7C0QcjJCRk06ZNAwYMuHTpUn19 vVarHT58+PHjx+vq6mianjx5ckBAgM1m27RpU9++fa9evarX67Va7eTJk1UqFSGkxWN3HnBtbW1M TIzzMWq1vxbmNz9F0dHRX331VWRk5NChQwkhFotl48aNkydPDgsLc+e0SKVSxwESAAAAAIA71/G0 CwaTKS4ydGLKYGHJ+Ss5NbV1nbpT13/x2k01BspncK8AlZQQaYDK89flXO2VA9v3nr1eb1cGDZww fWwvDcObCo5s233uepWepZVBSakzUuM9aFvJL+t+lo5Prj+w92Jt2Nwn5oSbrhzYeSAjX8dS8sBh 9/xhOCGEsMUnvt19JkfHSn16j581ua8n06mHDABtWrt2rVKplMvlPj4+UqnU39+/T58+QmIwa9as c+fOlZaWWiwWlmWzsrLOnTs3fPjwm9q+0I5ZaHZhNpurqqqar8PzvDtdm90h1IPabDa5XE7T9DPP PLNixYqCggJCSHBw8JNPPsmyrEKhsNlswpodstPmA3D+ssN3Idw2WL169aBBg6ZOnbp8+XIhpCKE VFVVrVix4o9//OO2bdvefffdRx55ZMSIEe3MoCmKSk9P9/T0lEqlLMt6eXn5+fkFBwcLsV5oaGhA QIBWqy0vL5dKpZ6enmfPnh01alQ7j1GoffabN682N1fz3HMFe/cSQv5NUQP/9a+YCRNKCBG+DPr9 7+/54otTixZ5t3N/t4phmM8++2znzp1udn2ZNGnS/ffffyuTELY4uSRN01u2bNm/f39ISIhSqRTq nUUikZeXl1qtdmyB47iioqLmyTfP8xThOXvTewV1dXU8z1+/ft1kMjUfmVKpjImJUavVdXVNf2sR EtjWftu4dOmSUqkMCgpyLLHb7cuXL582bZrjQxaCkpISlUqlVquFY0xMTExLS7upFVocDMMwoaGh wr7EYvGAAQN27tw5cuTInJwcrVYbHBxcWFgokUikUikhhKIoX1/fkpKSgIAANxcKuzt79mxiYqJI JBo9enRRUVGfPn369esnvApbt24NCwubOXOmyWTasmWLRCIZOnQoRVFBQUEJCQkeHh6nT5/ev39/ REREeXn51atXH3zwQZlMVlFRoVarW9xacHDwrFmz8vPzd+zYIdQacBx35MiRiRMnenl5Wa3W/fv3 z5w5MyAgYNeuXQzDTJgwwWpter+hOeejcL5YOY7LysqaO3cuIeTzzz/funXrvffe6+HhceDAgf37 9wtV7RzH5eXlzZ07l2GY3bt37969e+bMmXa7vcVjF9Z3DFjo9eM4RseuWzxF/fv3P3HihHAPoLS0 lKbpgIAAd06LWCx2PsA2zwYAAAAAQI9SVFT04osvNl/+9ttvN5+nJy+/2M7Zhyf/Wjl05PS50xmX XW/fzfIuHx+fkpKS8vJy5yLoiooKvV4fGBjo4omMZ1yc+vTenSelYweEa8W//iVtrzr1/fackJmP 3hNB8nZt+nGLxv++QVqpNiTprj4zQzSk4sTmjb8cSYi+O4QixFZ5Zv/1cVMX3eUjF9OVR7/bmhU4 5YFn4jQ2XQ2nEZEKwrOFV7h5f3h6trw245uNu/fFx86O7ra2nQB3NDffMXief+WVV1avXi203Vi4 cCHHcVarVciLU1NT7777bpFItGHDhvPnzzMM8+yzz7aYYrmugKZp+r333iOESKXSBx54oEnnZbVa HRERYbVaO6QCWiislEgk69ate/TRRxMSEp544olVq1ZxHPfYY4+ZzeasrKxVq1b5+PgQQoTqw3bu 1DnB4HleJBI5Z5EikcgxKkE742CRSLRly5Yvvvhi1qxZERERK1askMvlarVaSPDFYrFer1+xYsXs 2bP9/Pw+/PDDioqKGTNmtGenPM/X1dXJZDLhpbxw4cLLL79sMBi8vLx4nv/uu+927dplNpu9vb2F +ujq6uoOKfqWjh/PGQzro6P/xPMZhBBCJu/YERIbW7xvn+PjPHHe3oSQPEJi29pdZWVli32AlyxZ IlwMLXJnEsJ9+/aFhYXJ5XJ3JiE8dOjQfffdd9MV0KT1wmmr1erh4SHUPgtLGIaRy+VC2b/AbrfX 1NS0uAWOa7m/u06naxiKSGSz2ZRKJUVRer0+KirK39+/vr7+pl7jysrKZcuWPffcc8LklYKCgoIj R45s2bKlycomk0ksFjv6hyiVSqPRyPO84xS3uUKLGIa56667HF/GxsZmZmYeOnTIbDZPmzZNOEzn 71WJRCJ07XFzISGktra2srJy4sSJzfeu0+l0Ot3MmTMZhlGpVMnJycePH3fUUAvrREZGnjp1iuM4 uVzOsmx2dnbv3r2F/stNbj/U1tbW1NRMnz6dYZiwsDCZTFZUVNSrVy+e5/v27SsU9grdjry9vSmK Cg0NPXv2rJvt/F0cRe/evYW3PB8fH5ZlhVczNDQ0JyfH8akHxzq9e/f+4YcfLBaLwWBo8dgJIc4D djG85qcoIiLi4MGDVVVV/v7+mZmZMTExEomkurq6zdPi+gABAAAAAHq44ODgRx555Msvv0xISKBp 2m63X7p0af78+S3OEq83Gnme91AphS9HDkoaOSipQ4bRp0+fkpKSffv2jRs3Tsigy8vL9+3bRwiJ jIx09Uxx4NgF96gPHNj+yQEqdMCo8Sl9/KR8zeXzVV6D50SqGYpE9I+Tb8osMCRr1R4RccIfkN5R UR5Hi4wcISJCeEo7IKVfoJoihKu8fLHGZ9i8eG8pRaTevoQQGyGE8h80KELNUMQzMs5zT3q12R4t 66z+qADQNpvNFh0d/cgjj6xZs+bgwYNms3nevHmOsFKv1wuf5j99+rRMJluyZElkZGSLNZEuCH2Q //a3vxFC3nzzza1btzZf54knnuioSmGNRmO322UymVqt/vDDDxcvXjxgwIAlS5bwPG8ymTIyMlau XOnt7S2Tyex2u1BA2U48zz/yyCNGo1EkEimVyia3+pRK5WOPPWYwGFiW9fX1/eijj9q5O5vNNn/+ /IceeshsNv/xj3/09/eXy+WOEFwsFqvVapFItGnTpnXr1i1ZssRoNLZ/rkWpVCo0EOY4TqFQ2O12 rVYr9IDWarUsy8rlcpvNJiTUQlVo+3lMncoolXfv2MEaDI4wtLa01GfcOOGD+X/ieULIlfffd2dr Pj4+06dP37NnT3h4uPAzOj8/PzU11UX67KbZs2cfO3aMZdk2A2hCyPTp093cbKMAmqFpG2ejKKpJ 5iu0oK6rq8vOznbMC8lxnNlsdvTfIITY7fbQ0NDm+xA+LMDQTT+LJJfLhermyMhIjUajUqmuXLmi 1WoLCwvtdjvDMDqdrqKiovkMhK2pqal54IEHpk+fPnv2bOfl69atGzJkSPPpKYTryRFHGgyGJgF/ myu0yWQyffvtt8OGDevdu3dhYeH27dsnTpwoFoudM1Cr1SoWiyUSiZsLCSGXLl0KCAho8Z3FbDYL 7eeFLxUKhaPx0Llz5y5dumS324XvMUKIl5fXrFmzjh49evTo0SFDhgwcOLD5+DmO++yzz4QvbTab 2WwW/q/RaIT/qFQqiqLKy8uDg4Pz8/P9/Pya96Rv8S6Ci6Nw3Nhw/lYXGvk71pHdmBJUOEvC2Fo8 duElcwy4NS2eIplMFhkZefHiReHKnDlzppunxfUBAgAAAAD0fCkpKefPn8/NzQ0KCiouLk5MTExJ SWlxTblMWqc31NTWeWo8WlzhloWFhfXv3z89Pf2nn34SPnToSIvS0tICAgKEKaRaRClCB919X3Jq ZdbRn7dv/p48PD/eqDNxZb988sFeQgjhORvla2J53lRy9uDh84V6XsRwdbWc969/dVAipVYm/Pln N9VaaJWHtPEfgxQjV0mERTRNEdK++RYBoCOYTKbY2NgHHnhg/fr1e/fu1Wq1EyZMEP7AF4lEO3bs OHDggFarXbhwYVRU1M2mzwJhJjNCCMdxrbXgaOdROISHhxcVFSkUCo1GQ1HUypUrFy5cOHz4cIqi Tp48uW7dOl9fX61WKxKJjEZjG7fl3ENR1AsvvLB69WqlUimTyRxzHgrUarVUKjWZTAaD4emnn27/ 7ggh9fX19fX1IpFILBarVCqaplmWFWIWmUwmFosZhqmurjYYDLW1tR2yx8DAwMLCQpZlZ8yYkZ2d nZ+fr9frhfJKoXlLZGRkWFjYtm3beJ4PCQnpkJ0qevcmhOgLCwkhst//nhCyY/JkQsifeL6CEELI j08+mbt8uYiQWPc22K9fv9zc3OLiYm9v76qqqsjISOGD/u3Bcdy8efMeeOABN9c3mUxu3g9o1IJD LGIMBrNcJm5eImo2mx999NE1a9ZcvXpV6MJhs9nmzJkzcuRI59VsNpvBYGjydJqmjWaLTNp0vuGg oCCdThcUFJSYmChElklJSefPnzcYDISQ06dP+/n5lZaWJiQkuHMkQvo8atSopUuXOgegZWVlP/74 4/r165unoiEhIXq9vr6+Xi6XC/fzm7xUba7QpoqKCkKIMEVhSEhIXFxcRkZGSkqKxWKxWCzCJxcq KiqEmNLNhSzLXrp0KTU1tcUoXBiq1WoVclij0SiVSimKKiwsPHLkyD333OPj41NeXv71118L6wcF Bc2dO7e0tPT777/39vZuEtMLU7g++OCDzrcBhJuHjr0rFIqUlJTvvvtOq9X6+fkJv5IKTYIcV5fw mjpzfRTupPyOS9xkMtE0LRaLWzt2N7fZ2inq16/f1q1bw8PDZTKZ0FnFndPi+gABAAAAAG4LixYt +utf/3r16lWFQrFo0aLWVosKC0o7f/nAsbTfTR7rvJy12cSt9KNzP6BJTk728fG5ePGi8OdVYGBg ZGRkWlqa2Wzevn37lClTXGTQhBBK4tNr5Jir577LrmIT1RqZKPiuJQsSnMqcrAU/fbu/dvj99yf7 SriyvZ9sKm147o3f5WmZWmKv0lt4InH+9R6/7AN0kZuKdA0GQ+/evYcMGXL8+HEhxxS+V3meFz7f P2zYsISEhDZnWmuxBQdFUWKx+P333yeESKXSBx98sHkLjsjISCESaWcSzXHc+PHjV6xYIeSwGo2G pulNmzYVFhbSNL1nz56AgAAPDw+RSMRxnF6vT01N5TiunTtlWTYhIeHJJ5/csGGDRCJp0lNU+JLj uCVLloSEhNxagt8iobOH0AbAYDB8+OGHhJBnnnnG09NTWN5Rkx9yHDdixIgNGzbI5fIzZ84sWbJE qLUVYkOhJNFqtS5fvpzneaPROGLEiPafVUKIJTDw4JNP5i1fHjF4cOzs2eRGyXPh11/rb6zTlxDh 55mbu5s6derq1asLCwtlMtnUqVNbe5aLrjLNGQyG5iGeC25uttFlJJdJKqt14SH+zed2FE76ww8/ vHbt2uzsbKHo9ZNPPqmqqhozZozruSBpmq7W6TTN7oTHxcVdvny5sLDQ399fuJ8gk8n8/Px0Op3R aGQYpra2lqZpIb11TUifhw4d+qc//clms9lsNpFIJFy1X375ZVhYWN++fYU1rVbrCy+8kJqaOnXq 1PDw8KioqDVr1jz77LOnTp06d+7csmXLbmqFFgfDcdzu3bsjIyPj4uJUKpXZbC4pKQkNDdXr9QUF BfHx8Vqt1tPTMy0tbcSIEcXFxeXl5WPGjHF/YVFRESHE0eRaeO9z3HPTaDSenp7p6ekjRoywWCxn zpzp1auXSCSyWCwURcnlco7jLly4ILxkNTU1NE1rNBoPDw+JRMJxXJOtabVajUZz8uTJ4cOHC3ec NBqNc1cQQojdbj9//vyECRPi4uIc37E0TSsUipycnODgYJ1Ol52d3aQAuclR3IKMjAyhIcaZM2eC goKEt8UWj71Jb6Amx+jQ4ikihHh7e0ul0uPHj8fHxwvH7s5paf8BAgAAAAB0O4lEsnTp0hdffHHZ smWOzxo2N3RA7wuXrl7Jvvbd9r0pQwf4enuWllcdOZleXlU9YfTQ2Mimn0a9WeHh4eHh4c5LAgIC tm/f7iKD5mpzc+s0gf6eSsZScTkjn/Uc6ili1Al9tKeOHM3yT4nxZCy1VdWcNkhhNlopuUoupri6 vPQr9VwLH51kPOMTNKeOH80KHRfrYa+vNkh82viAJQB0J4vFUlZWRtO08En9CxcuEEKSkpKCg4Np mi4rK3Nn5qoWCVn2q6++Sgh5++23f/rpp+brPP300x1ye8put4eHh/fq1aukpEShUEgkEk9PT7FY fPr0aUJISEiISqUSklmr1dqrV6+wsLAOSYSNRmN0dPTDDz+8YcMGlUrlPKGi1Wo1mUyLFi0KCgrq wPRZQNO0EK2YzebKykrhP8KS5kWlt8xut8fHx0dGRhYVFZ07d27lypXz588X5vEihFAUZbVaN23a dOXKFeFeQnx8fJv3KtqknDevtF+/c4QkEJLfr995Qq4Scv3Go6GEpFFULiFCdqmYM8dVzOpELBbP nz9/1apVCxcu7JB5LxmG2bRp0549e9xcPzU19b777nNrEkLnL9RKRWFJWVR4kNBouAmhv4wjg5bL 5RqN5tNPP+V5fuzYsS4yaIZhyqt0YSFNJ4hQKpXDhg07ePBgZmZmUFCQ8M0ZHBycmZnp7+8vvCOM GDFCqVS2eRgHDhy4fPny5cuXN27cKCyZN2/eW2+9VVtbu2nTpjfeeMNxx4Zl2ZMnT0ZERBBCRCLR Rx99tHTp0sTERK1W+/LLLwt3wNxfoUXCZIxarZYQ4uXlNW7cuF9++UWv14vF4sTExIEDB9I0PWXK lB07dixfvlwmk40ePdrX15cQ4s5CHx+fw4cPJyQkOC4siqKGDh36888/X758efbs2QEBAdOmTdu9 e/fy5csZhklMTBw8eDAhJCwsLDAwcO3atQqFYvDgwcJZraur27lzp9lsFolEvXr1Cg8Pb761GTNm 7NmzZ9WqVYQQHx+fGTNmNElaCSFqtVqYCVA45OnTp2s0mrFjx+7atSsjI8PX1zc5OTk7O9uxPs/z 6enpzkdxsyiKCgsL+9///ifMPXL33XdTFMUwTIvH3vy5zsfo6I/T4ikihDAM07t374MHD8bGxjqW uD4twvSD7TlAAAAAAIAeIjg4+OOPP3aeZac5tUr5uynjvtm6+0rOtSs51xzLpRKxrIO6Zzbh6ek5 ZcoUFxk0by46vW3L9TqWECL1ihowY9ZALU2I97C502079m788AeWELlf0qS5Qd4Ro0eG/LDtv//c rvBLHDE0SpXVwv5EfiPm3G3Ztmftv7fYiTwk5ffzW/hTAwB6kPLycrFYbLFY3n33XSGRiI2NHTt2 rFgsFj5Occs4jquvr6coiuM4ISdtogNbcFgsloULF3788cd6vV4ul9M0rVKphLalDMMIzX9NJpNK pVq4cKHFYumo/RqNxvDw8IcffnjdunVKpVIIN1iWNRqNS5Ys8fPz6/D02ZkjY3Rd8HrLLBbLokWL PvroI4lEcu7cufT09OTk5JCQEJ7nCwoK0tLSaJpWq9UeHh6LFi3qkLPKLVumJGTEjY/aC0Fzk4Yp owkhhCjmzLG/8or7W/bx8Vm6dKn77YvbdOjQoejoaEfbWxdMJtPx48fvu+8+dzZLnT9/3vGFnedP pF+eNGYYz9tbm6iNpmm5XL5+/fqcnBy5XF5bW5ufn79x48bWrgmapimKTr+UN3n8cKal+xW5ublH jhzRarWBgYEcx5WWltI0TVFUTU3NyJEjo6Ki3DkM6Eb79+83m82pqalisdhqtW7ZsiUoKKhJb5aO ZbPZNm7cmJqa6uI2QMdKT0+/cuXKvHnzOvCeGwAAAADAHaa2Tn8y/UJufmFtnT4kyD8k0L9/n16O mQmdrVixYuzYsc2X79+//7HHHnN/jzU1NUIGPWjQoPb3vgSAnqm1dwzXXn75ZR8fn9raWovFItxC q6urk0qlGo2moqLirbfeai34ksvlGZey+yXENM9YRSLR66+/LpPJdDodIUQqldbU1Oj1eud1VCqV n58fy7KvvfaaO5WhbRKJRHK5/PPPP8/MzFQoFGKx2NEHw2q1Go3GhISEBQsWmEymDtmdM7lcXlpa umbNGiHfNBqNixcv9vX17Yz0WSQSvfTSS8KHXfLz8998801CSJMlHXiAYrH4X//6l0gkYllWp9MJ 0yoSQiQSidDwZOjQoXPmzDGZTC0W6d4CiuNEb75puJFBt0g5b57tpZf4ZnWf7aRWq3cdPDVx9OA2 +zULfdJPnjzpTj0ly7JDhgyZPHnyTVdA0xQV7O9zMSuvX2JMawG/cGvloYceWr9+fVZWlt1unzNn josdiMXi81fy4mMjWkyfCSFRUVF+fn6XL18uKCgQToRarQ4LCxs7dqxKpWrzAKB7CZ2pQ0JChEtT +CyGUP19xzAYDGlpaWPGjEH6DAAAAADggsZDddfoYV25R6EO+vr160lJSV25XwDoyWiaFqobaZqW SCQpKSnTpk3jef6nn346deqUsLyystLb2/sWSpUXLlz4xRdfSKVSYUcajabJB/eFPhILFizoqMOx 2WxGo/H+++8vLS09dOhQTk5OdXU1z/MeHh4JCQkjR44MCgqqq6vrjGJhk8kUEBDw6KOPrl27lhDy 2GOPeXl5dV7ts16vFyrKHZl+8yUdgmGYkydPlpaWCh1Wx44dW1paqtPpaJr28PCIjY0dNmyYXC6v r69v7S7FLeAZxvbSS0pCWsugOyl9vikcx82ZM8fNomZCiMlkqqurc2fNptNBBPh6Hj6TGR8TTlFU a2eZ4zij0fjggw9u376dYZhJkyYZjcYWv2lpmjZbrJU1+lFDfV0MQqVSDRo0aNCgQe6MGHoUiqLG jh27e/fu8+fPC2+yiYmJ8fHx3T2ujsFx3Ndff11eXp6UlNQhk8kCAAAAAEDH8vT0dD0JIQD81gjT 2bEsGxsbO2PGDLlcLsSXs2fPnjRp0pYtW0pKSm6twsxms8XFxf3jH/9w/XS73a7X69vfONiB4zid Tufh4TFv3jyxWCy0AOU4TuiJUVNT01E7as5kMvn6+r711luEkLq6OmFSx06yefNmx/+F3Ln5kvaj KMpgMGzfvn348OFjxoyJjo62Wq1CPxNCiN1uF85qbW1th+zOmYsMulPTZ57nJRKRO7dbeJ6vra3t jGOnzp0712RRUVlVpU4/bvgAs9nsYnAURQkV+K3NjUhRlEwmO3Ty/KABfSJDmzaABgAAAAAAgN+m FStWjBkzpvnyAwcO3FQLDgD4LWjtHcMFmUym1WotFkt9fb1zfwCRSKRWqyUSiU6na+2j/y5acMCd QSwWa7ValmVNJlMHNs7usZRK5fG0i8MG9m4twu0CTSugCSGBvp5FpVXnLuf0iYt0cWeD53nXBfBS qTQjM1vj4REe7N8BIwUAAAAAAAAAAGiL2WwuLS1tvtxms7lTL9wvIaYTBgU9Bcuy7ZyI8vbC87xY 7FYFdOdpYfcURfVPjDpw6rxGrQgN9HddB90iofa5oLi8rKb+9zPuQudcAAAAAAAAEJSWliqVyhb/ zFQqlaWlpQEBAV0/KgDomVy8Y3SSDmydAdATcBwnYmiO47oxg6YyMjJafMBsse4+ltEvISYpPspi sbjfy5xhGKlUmpGZc/5KjsyuF4u6s3k2AAAAAAAA9ChKpTIxMVEulzd/yGQyZWZmduNnhAGgp3Hx jgEA7pBKpdnXCmMiQrqx30irATQhhLVxR85kKhTyMUP6icWM1Wp1PfmjMLsoy3L7T2aYTeYRAxOQ PgMAAAAAAAAAAAB0C4lEUlBcFhbkb7Vau2sMVHp6uouH7Xb+Sk7hpez8Pr1j+idES8Rim80m1GwL YTRN0xRFMQwjEomsLJuemZNxMTsxNjQhOoymqa46CgAAAAAAAAAAAABoRCwWl1XW+Pt4sizbXWNo I4AWWFjb+ct5Ofklfn7ecRHBAb5eKqVcIhYRQqysrd5gLC2vvppfXF5eFRUekNQrUioRd/7IAQAA AAAAAAAAAKBVDMPo6vRaD5X7DZY7nFsBtICz24tKK6+XVlXr6g1GM8vZCCFiRqRSyL206pAAr+AA HwbzDQIAAAAAAAAAAAD0ADRNG01mhVzmurVyp6LOnj3bXfsGAAAAAAAAAAAAgE5CURRntzM0zfN8 d40BBcsAAAAAAAAAAAAAdyCe52mK6sb0mSCABgAAAAAAAAAAAIBOIure/BsAAAAAAAAAAAAA7lSi I0eOdPcYAAAAAAAAAAAAAOAO1M0dQAAAAAAAAAAAAADgdsTzvF6vt9lsPM8zDEPTNMMwIpFIIpE4 1kEADQAAAAAAAAAAAAA3xzytGv0AACAASURBVGQy1dXV0TQtFouF9JmiKIqiCCHCQpqmCSYhBAAA AAAAAAAAAICbYjQaa2pqGIZxBM0CiqKEJNputwulzwigAQAAAAAAAAAAAMBddrtdp9OJRCKGYVpc QaiDRgANAAAAAAAAAAAAADdHp9MRQlpLn53xPI8AGgAAAAAAAAAAAADcZTKZ3EmfidCRo7NHAwAA AAAAAAAAAAB3DI7jnPs+u4YAGgAAAAAAAAAAAADcxfO80OXZHQigAQAAAAAAAAAAAKBTIIAGAAAA AAAAAAAAgE6BABoAAAAAAAAAAAAAOgUCaAAAAAAAAAAAAADoFAigAQAAAAAAAAAAAKBTIIAGAAAA AAAAAAAAgE6BABoAAAAAAAAAAAAAOgUCaAAAAAAAAAAAAADoFAigAQAAAAAAAAAAAKBTIIAGAAAA AAAAAAAAgE6BABoAAAAAAAAAAAAAOgUCaAAAAAAAAAAAAADoFAigAQAAAAAAAAAAAKBTIIAGAAAA AAAAAAAAgE6BABoAAAAAAAAAAAAAOgUCaAAAAAAAAAAAAADoFAigAQAAAAAAAAAAAKBTIIAGAAAA AAAAAAAAgE6BABoAAAAAAAAAAAAAOgUCaAAAAAAAAAAAAADoFAigAQAAAAAAAAAAAKBTIIAGAAAA AAAAAAAAgE6BABoAAAAAAAAAAAAAOgUCaAAAAAAAAAAAAADoFAigAQAAAAAAAAAAAKBTIIAGAAAA AAAAAAAAgE4havcWLJdXPvXGIYPTEu3Ev32wMFrS7i3DzeIqdi7706cFDQtE/Z9b+Ww/efeNCAAA AAAAAAAAAH7D2h9AQ0fg9TmHD2bquBtfU4rwkWOTPJnuHBMAAAAAAAAAAABAuyCA7hm4uvNbNn9d 0rBAmRIzCgE0AAAAAAAAAAAA3M7QAxoAAAAAAAAAAAAAOgUCaAAAAAAAAAAAAADoFAigAQAAAAAA AAAAAKBTIIAGAAAAAAAAAAAAgE7R+ZMQ8vrjbyz+z5WGBVTvP6/+60C5teLcnm2/HD5zpbDaaCNi pZd/VL8RYyekDo5Q/Tr1nl1/7cSePYeOZ+SUVumthIiUvmFxSUPHTUodGCynGu+FK9/x0tLPrjcs EA98fsWfk+RszZUjO3fuO3npenmdhZd4+AZF9h06euzo5Git2I3B242F546dOH02PTOvrKbWYOUJ I1NrvAKjevcbkDx0WJ9AGdXKMy2XVz71xiFDwwL/2e++OydETLi67INbfth95mpBBRmx7F8zLr/2 3DclzZ9vOPTGHw8RQoh8+EsfP5koc2OwN4O3VmefPnTk1MWsvPySar2VI4QQRqL2CgyJiOmdPHzk 4Hg/52NjC799/vnvypw3Ebrg/Ten+DefJpHXp/3rqX+dtTYs0U547YOHYiWN1mJrrp46cuzk6XPZ xVU6g5WXagMCAwKDIhKHjk4ZEK5uafZFN0/ph48ldPTZAgAAAAAAAAAAgFvS+QF0C3hr0f71//rk qFOeyRqqC8/v++r8vq2Jc/78zKx4ue7sVx8t35plcnqazVCRe3ZP7tk9W/steO6pu6OahtBN98LV nv/y/fd/zG6IQq11Fdcy9l7L2PuV/7D7ljw0MU7VegU4V3N+22effnui2NZ4sbm+uri+ujjr9C9f bwwdOe/B+ybFe7QUl7Y4JMOVb95584dcTvhS4ebTOhhbcfqbFau3XjE0fYCz1lfkX6rIv3Rqzzcb ou96+IkFI/x/jenFgSPGBn/3ZZHT2tePnq+Z5O/T7Ngt+ceuWJ0XeA4bE+6cPtuq0resX/fd2apG z9KVXtOVXrt89uiOzb7J9zzyx2m9te6c1p5xSgEAAAAAAAAAAKAl3dCCgy/d88GrjdJnZ8bMb//x 8U+/rPvbPxunz87qMza/s/qkzu5yN2zRz+//wzl9bjSGsuOfvf7apvN1LW+DN1/b8f4L73zZNH1u wnr9yOY3Xvx4b6GFdzmUG6sXbn2vISrtJrbyAx8v+6CF9LkJc84vy1/+z6HKG6Nl/IaOD2+8yrUj F1s4f9brJy4anRd4j0gJdeTPvLVoz0cv/aNJ+txExZmv3nrhg1+KWn7tGu2sJ5xSAAAAAAAAAAAA aEV39ICuyshuLVomhBBiPv/lhv3lrrdhOLl52zVXASV7fvMP2a6DyZKd//rPgYrm63DVR//75mfp etcjuEF3cu1b69Pr2oyg7RWH1n/dbES0KiZl4vjx48cNjWjSEsRnwJjx48ePT53Qz8vdAuu2ceX7 V6497eaREcOZDZ+l3TgyxndwanSjh/mcI5fqmx43W3LmXK3zAt9Ro4JvHBqvv/Dp2+vO1Lux7/qz G95cc9r1TYaWTykAAAAAAAAAAAD0FN3SgkOgCoqLCfMR6wsvXyhoLZJUBsbGhPlKDEWXL+Q3Wafq 1KnSe6LC2u7krI4YOLBXgMxcdvXsmdy6Rg+xmZ9/fjb56UEeTs08uMqDKz85Y2yyEWXksLFD44NU fG3hxWP7Tl+3OD9Ye+i/65P/+fRgjaueIBWHdlU0X0pr+s5c2JcQW/EPl09cc+oFrUyYtvDheGmb R3dTrNd2/HClcWArDxs8ZkhcgFYlttVX5J09eOBStdOj5rO7M+sHDfOgCCG058AJvTbkXGnIhLms w1cNwwepGp29jLRGh+mfMiLw19eIN2b+b+W+mka7906eM298UlSAzFh04dCPX+/JNjc8Vntk9WdD 455M9mjttLZ8SgEAAAAAAAAAAKCn6J4Amgq+66k/3zvEX0IRQni27PDHy1aebpr5BqU+9Zf7ht5Y p/zI8pdWnHJepyq3kiVtBND+4556YeFQP7EQYbIVJz97+8M9zs0/jCe3nKgccJevo8jYkrf924ts o43I+t637OnJkYpfc9CJ0393+Yd/vv1tts15M1/vLx4wM7jt0ykOHjhqQFRIgI+SmFkvP3dmQuww bPHx043yX3ny4+89M9KpwnrK5CGrnvvHoYaYnivOrmKHeUgIIYTW9puQKLpyoeG42cuHsk2D+jc0 XuZqLpxw7hNNgkYPD/j1GO01J789oHN+MHj6K6/O76UUzmtASGz/oX0/WfbvQw3rGI7/b8/sfrPa OK3deUoBAAAAAAAAAADAhe5owUGC5z6z4NdkmRBCif1H3Pu7kCbrBM5++v5hTuv4Df/DrMbr2M16 q8vGF0zcwucfHHYjfSaEiH2HLHz+wbjGHS1yd59oaMPBGzJ/2t+4Rlc7/v+c0mdCCKHV8bP+74kh jee7K9r1i8uWIIQQouh//+sfv/PnRX+YNXlcSsq4u8b38+647hpt400lOc7lzUQ7asbgxv09KFVU UkCjJxlrjI6SZ8qj74Q+ztMJEkvmkVyndip8/eVj+c6Ph4wZ6v9resyVHfn5inNHDVXKwhlxSufq ZsZz0L0LBzTaQfG+/YWNbwc01s2nFAAAAAAAAAAAAFzpjgpo/6GDmpSpMio/deN1fIcMDmi6jm+T dXjXfZc1Y/8wxr/p8TH+Kb8f/d3f9jm14ig6m2uYGiD0ebDkH81s1F2Dipv7uwRFsx4QlGbg3KmB J7926pmhSz9Tysa4qMiWDVq8eFKMylWbjk4m773o739vmDCRlvkEN0p7CW8tPLw7t/GTnE8ypUqc 0E+WfqqhT4bx/NECc59eMmFVQ/bRXOf1w8YN9vs1D7brMk8UOm9X0W90dLMTS3n0Hp8gOpvRUGRd de5i1e8jAlpOlbv/lAIAAAAAAAAAAIAL3RFAq/1UTXdLNc0Q1b7qppljs3Xa2Ev/keEttVCWhY/s p9p3qGEiPr7oQol1hIeUEMLVZOc37gQSPba/V4tV4iL/wSMDv/7GKYGuuHLdyIe12gdanDA2sdVu xl2CEnsERXg0Xcpb68oLC/ILCvKvXT134mSTLtlNN6HsNWGg4tTRhpNUn3Gs0NorRkIIIea8Y1nO 5cqR45N9bryK1tKLTueKEBLQO7Cll0fiF+VNMpy6pJRdKrFMDVC0sGoPOKUAAAAAAAAAAADgSncE 0BTdduMPir7JvLkZv3h/SYsPSAJ6+RGnAJroK+pthEgJITZdUaMmxcQ7Lqy1+lqRd0yojJQ4TZqn K66zEU1rJdCaYM8e052Yt+ryL6adOX067fyVa1Xmtp/QQBGTOlh99EDDjJC6tJPFC2IixIRYrp/I dOrHQWLGD3T0w7Abyysa7yd39ZP3rXZjh2xVmZ4jipZKoHvSKQUAAAAAAAAAAIDmumcSwi7AKNWS lqNjWqpR0IQ0tCPmjbVmO1HShNgt9Y1TUoW3stWwnFZ5KwhxWt9cb3bRFISR9IhzzRtzd29ctfmw y87Krsiixg/THvilIaivOn2mbF5EiJgtOX3OqXyaihs/wNNx8uymWhO5NYZqo52QlgLoHnJKAQAA AAAAAAAAoBXdMglhV7CzttbSYLuNszdaQNO3Um1NUU2KtHm766bU3Y83Zn31t1c2tJI+i71jBt01 Y4xfGxuRhI8d4e28oOxEWiVHbOXpaVUNC+n41H7ahquL55ucc/dx1lZfSQAAAAAAAAAAAOjR7tgS Ur6upI4jyhYKZ211JbWNFjAqjUyISimpWkqIUxdoY5WhlepbQjhDdeN+0RJlKzXXPYU197uPf7ze OM1VRQ0ZNTQ5KTE2OtRPJaaI8cybPx0od5n4ioNHp/ht/6HcsaDoWEbV5OQLJ52aPDOJqX2d22HT YnmTbhk+A8YkebZ8ZhthtH3cWQ0AAAAAAAAAAAB6njs2gCYlGTn10wO1zSJhe312RuPp8PzibnSL FmmCtI0C6KqsAj0f6dlSrmyrzi5o3FVCE6Tp0afTfPXnA1XOC8S9FvztubvDZE6Hx1uN1jbrjcWB I8YE/vB1w1ksOJJRIDte4LRGn9TejaYHZJS+GpoUNlRBi0Pvuv/hfvJbOAwAAAAAAAAAAAC4Xdyx LTiI/fK2w6W2ZovZkkPbrjSKWNVxiT6/Bscir5jwxplozv6MmhZ7R9jKTh4ubrTEu1erExbeCr6j +06wlZdyG5Vse6T8fkKj9JkQwlbmVra9KVHA8PGhzgtyd23Zkd0wYEnf1ER14w3LQvoENNpRdZme c3PkAAAAAAAAAAAAcHvq0SW77VTw9eqd/V6cEtrQGIO3XPt51TeFjdZSD0wJk974Qho+IkFyLM3q eJTP+uaHK0MeSlA0jlPtujNfbW2cP3skDQpq0mWiPawG6602TW6F3VBtaLRArGjWMsScd/CkjrSN 8RmcGrV5Q65jQXHa9YZHZf3GxyubbFrkHd/LgxQ3zFJYePJy3QRfz6Z3QGzlhzZ9frLKkU0z3kPu vT/FD004AAAAAAAAAAAAbkN3bgU0IcSW9fnLr6395XxRrZk16wozdqx+9ZUvcxrX3QZMuDumoeiZ UiVOH6NttELNnveX7y4wO9Uj2+svf//+f0837r8RPOnuaCm5ZRQjbpyxsld2H7+uZ1mL0dxBc/BR Imnj2w1VR/dfNTZsm7eWHN6wfI87+TMhjHdyalwr9d7y/uN7Nc2fCZFEpI5ynruQu7Tp06OVjUvU eXPe9hVrfjmV1iCHCdYifQYAAAAAAAAAALg93ckV0IQQwubv2/DOvg2tPawd99DdIY3qlmXRU2fH 71t32SkZNaZveHHpkVHjh8UHKu26ggtH9pwssDTejmLoPeOD2nMuaYWvhiGFTuG4MW3NC4vXECIf /tLHTybK2rHtX4m9InwIcc6Xq39584WyiakDI7REV5x36fiB8y2032ilFQjt2T81gcnKbN5GQzlw fKyihWdIwibOjNu5LsvxDP3JFc+WX5wzfXRShLfEqiu5enrPT9vPVjjvT5a8YHqExM0DBAAAAAAA AAAAgB7mjg2gKf/eQRUXi1y2sQic/OQfejet1WV8xz6+6OxzK8+anZfWXT38w9XDrWzHa9xTf0z2 aFf/Z0oZPTyGvnilg9tuNNqFR+KoaCo7p1GgXHVu11fnXD3LajQ3b6RNCCGUJumuPuLMDLbJclXy uOiW5xZkfMcsvu/I8xuvNGzQeu3gF/85+EUr+/ZMeeyPg7V3dJE+AAAAAAAAAADAHe2OTfdEwZOf XDRQ1erjVPBdf1l2b0LzVhGEMN6jHn/p3r4tVfG2wGfUkpceSGr39IO014iF82I69X4A4zPqvrv9 Xa5ChYyZHNeoItx+efuRkqYhs7CuOnFCUrOuIx6Dx0W1Wq4tCkh9eumkELfOle+oJcseHoT2GwAA AAAAAAAAALex9ieelEjl7aEkDa0YRF4qEeX8uHfvYQOVDfP6ScJ9mu2V8UocNlDutE6YX7MJ/dxZ x5nId8yf3tF+u+KTLRdrGj0gDhg4/b6FMwb4tPp0ShE19S/vhvy0ceP3p8uaN5m4QR41Zv7Ce1Nj VC3E+LQ6etAgQ72jolnkFyp3mfZT0vAZr3zYa++33/xy9lppjZETthKcEOnhdghL0XJPL2WVoz8I pdY4zzNIyePmv7SUfe/DXwpbqLQWh6Tc//jCserTlXuyLjZEzrYrn/53T//XJvs3GwWljJ8wQHHm uNFpmXbo2AhXrbAZbf/7X/178GerNh0ssLa2kjx6wv1/nD86osnMjzd9SgEAAAAAAAAAAKB7UXwr PX5vM1z5jpeWfna9YYF44PMr/pwkJ4Tw5rKsC1nXy6v1drmnb2BUQkKoh7u5u91wPf3Y8dP/z959 xzdVtQEcf26Spumkm9myyt5Qyp4iZU8ZgkwHuCcqgowKKiqiqKigoCBTX0CQIchwgIIyZe/SAh3Q Qukeue8fgVJokqahJS3+vn9o29yc85xzz73306eHJ3sPHD0Xk3AtJVNEo3cv5VsuuF7DJk1bhtby d77bnc8WqNmZWaJz0hZF89mJp/5Yv/HXv/89HZ2UJVpX73LBDVu0faBjaGUPrYgY069euZaRa1Uo OjdvbzeduVBS9n3w1Af7bmWrfbq8NXNYFRuKNqupF/b/8ceuf/YdORebkJRuFNEavMpUrFazfmib dk2DvZ2KaF4BAAAAAAAA3J2IiAg3NzdFUTQajfX/ajSa+7YG9C2KoXSNkNI17Hqvxi2wcafAxp0G FHJM+VK0Tla3d98NrWdwu8HPtBts4WWNs5d/gG0tqemJ13OX5/Br2SbQto8MVFzKN3pwUKMHB9nW EQAAAAAAAICSiBIGsJeadnr96lO5fhDQulX5IkubAwAAAAAAAChx/gM7oFGYjOmJyYq7m1w7v3fD t/PWx+Z6qVy7luXIPwMAAAAAAADIQQIaBaGm7Pto7CfHzbyiBHdpXYblBAAAAAAAAOAWSnCgUHh3 erilr9bRUQAAAAAAAAAoTkhA4+4Zag16aVANF8XRcQAAAAAAAAAoVqiZgIJQFOdS3jpJyBLRGjy8 AyrWrNeoadu2jSu48qcMAAAAAAAAAHdQVFV1dAwAAAAAAAAAgJIhIiLCzc1NURSNRmP9vxqNhn2r AAAAAAAAAIAiQQIaAAAAAAAAAFAkSEADAAAAAAAAAIoECWgAAAAAAAAAQJEgAQ0AAAAAAAAAKBIk oAEAAAAAAAAARYIENAAAAAAAAACgSJCABgAAAAAAAAAUCRLQAAAAAAAAAIAiQQIaAAAAAAAAAFAk SEADAAAAAAAAAIoECWgAAAAAAAAAQJEgAQ0AAAAAAAAAKBIkoAEAAAAAAAAARYIENAAAAAAAAACg SJCABgAAAAAAAAAUCRLQAAAAAAAAAIAiobubNyckJBRWHAAAAAAAAACAe8Pb2/vedHRXCeh7FiUA AAAAAAAAoMShBAcAAAAAAAAAoEiQgAYAAAAAAAAAFAkS0AAAAAAAAACAIkECGgAAAAAAAABQJEhA AwAAAAAAAACKBAloAAAAAAAAAECRIAENAAAAAAAAACgSJKABAAAAAAAAAEWCBDQAAAAAAAAAoEiQ gAYAAAAAAAAAFAkS0AAAAAAAAACAIkECGgAAAAAAAABQJEhAAwAAAAAAAACKBAloAAAAAAAAAECR IAENAAAAAAAAACgSJKABAAAAAAAAAEVC5+gAAAAAAAAAAAAlktFoPHz48IkTJ1JTU93c3IKDgxs2 bKjX63MOUFRVdWB8AAAAAAAAAIASJCIiws3NTVEUEdm0aZNWq61cubKHh0dKSkpERERmZmbv3r21 Wq3GxNHRAgAAAAAAAABKniNHjjg5OTVs2NDT01NRFDc3t1q1amm12oMHD+YcQwIaAAAAAAAAAFBg J0+erFKlioioqppTaaNixYqHDx/OOYYENAAAAAAAAACgwNLS0jw8PEREURRTRQ4RcXNzS05OzjmG BDQAAAAAAAAAoMBUVc3JO+e44yckoAEAAAAAAAAARYIENAAAAAAAAACgSJCABgAAAAAAAADYL3cN 6Dvo7nEoAAAAAAAAAID7iaqqll5iBzQAAAAAAAAAoEiQgAYAAAAAAAAA2I8SHAAAAAAAAACAIkEJ DgAAAAAAAADAvUYCGgAAAAAAAABgP0pwAAAAAAAAAACKBCU4AAAAAAAAAAD3miMS0GrijslDzBnx /oFUSdoVPvKllRey7Gn46m+TRrzy4yV73nvfMF7+5Y0Rr2+My74nnSUe2bhqe2T6ve7XdrkizC3t 6JwxT3x2JM0hMd01c9NuaUSFeFHcOsW5Z9WWCzb91IKnhgwZMvark3eeiEJkjN82cciQIWO/OnFb J9mXt04dNmTIkMc/O5hi+kNc1qU144YMGTLkmYWnijCc26Ud+nj0bTe7UU+N//jHQ1cLdLkk7Qof MmTI6I8POWrdWjjX+Vz7NqyQAtw9Crr27g7PFLsVyhOhYI3YsDbu3XPKvsVp4YEFAAAAACWdIxLQ iluDMdPCw8PDw8PHDwoSbY3hE8LDw8PD35oyvJrBAfHcXxSXoNZd21RyuSdnNjvx6M+rt0dlqPe4 X9vlivD+4aBpv9VXSZpVrV/LQe28RJL/WrMnwSgiGee3bL4golTr07Wyc8Hbyzy35LkhQ4bYmZR0 8vT18/MtZZD0qxG7ls+Yva0gmTCNi38FP//yvgbz9ZSsuruwrbv7RViAFkrS2vtPK5RbU8EasWFt 3LsbplPZFl3aB7sXsCOWNwAAAID7lENqQGvdy1UJFhGR5HhXRetermpwcE7mOckREd1HFLfq3QZX /+/0+x+XM+33YFPsrVOcWfSdFSJDtd59grd9c+rImt+jW/T2OrHxtysi7q0faumnvdehBHSf8P7A QCdRU04sGT9lXdyxzf9c6dA1wMY4XOs/+d7sog3QLnd/7XP3uP8Uyjkt9IVx71aac9CDg4PuRUcA AAAAUBIUzw8hVNMit3w258fdZ685BbYc8tzjHcvrRcSYdHLjgm/W7zkbb/Sq2rLPyOEPVnW1tBVQ TT61edG3a3efuZKm8ajQuNujj/eq4Z5xfN4L78Q88tGEVl6KiPHyL5NfXlNzysyhlbXmWlYTd0x9 4ec249ofnb/sXMiEdwZVdLrReLqlduTynh/mLdl25FKqa/m6HYc81r+Rr06y4zZOeOW3TjOndfLT iBiv/PLmy1vafTCt8+3ZL7MBm4nBbKi5GzLGb5v00s+t35/exeWf8OfWNB4TevyHn/ZFK+WbPjSm r9u2eUt/OxXvFNR+1MuPtvLXph2d89JctyFd0n9Z/+fJqy5BTXo8+mjXYDdFRDLNjeW2eBqOarb3 k1UxIp+MGfvvlI8eujA9V78hz7U/v/qnXScu64JaP/zsox3L60XU9Iu/L/ry+x2nkjxqdBjYKWnp 917j3htSySlX9Em78o3Z4nxq0iK3LZy3cuep+AyDf91Ow8cOapC29vVX/3czwtlPVL99w2tm7M75 K1b9fuKac2DDriMf61nLU2PjMsuM27187tLtR2KMvtWa931sePtAg2J+xmwZkeWzYG5VGC6tzjWo nGlvb3lEt9aG9aFlX1rz+rgtIW9/MCjIKfPs4pcnrNP2nfHegECnjDOLXnrzUNcPXnH9bNzPrd95 Ou2D127N6hCLF6yNjMmnty7+bt0/p2KS9X6V6rYfOKJXAx/TjSn76qG1C5b8cvBcfJZ7+foPDB7Z r4m/k0hW3N8/LFi+9dDFpCyde7m6HR9+dEATXytJXK1f60FtV07/9cLPG0+3qLN+V5JI+a69arkq Be7dO27162/8dFlELi5/+Zm4qR8/Vs3ZSgsWKa5BDaoa1sWlpSYkRv343vjlF/3Cnu+XtnLJifrj 33044Lz5BpN2hT/x8TFDszfmPF/XoKZf2rn065U7j11KcvKr0bLX8KEPVHZVbA/bTFT5LYAP3/Az e65v3XP8tWYuDcl/hdxqwS/zzqu4ic+tU5t1Mffit7L28r2K7bm1mj/A/K1b1Dy3oyY+2vwDK9YP lwLce5v4KLc/iex7Ihjzb6Rga8PWlSZi6bacd97MnhpJ2hX+zPK609/rV15n6aTfebG01m609sAC AAAAgBKsmBVMMMmMWb/wYNDA16ZNGtPKuPObb/ddV0UyL/z09rTVyY0eeX3a1Bd7ljn27fRPd8Qb LbSQfmLxB98c8us8ZsLUic90L3t8+Wc/nssU54qtGzif/v34dVVEjPH7fz3v1aJ1BScrLWdG/jR3 szF0wKDm/rkySubb0aUeXTR55ubM0JHjw8cPb5y28f2pS07aui/VfMB5YijQJIhI+tmVK+NCx4S/ /VzrzL++mThpg6HHK+++Nabhte2LfjxtKjOZFbPpy5+SQ4a9NuHpLn7Hvnvrw21x2aJaGUtOPK0b 9Hv7nb6lnao/PWfO47cntDIj1ny7v2yfl99554V26h8LFuxJVEW9vm/ulC/2+3R9bvL4EY2vrPjy jwSzkdsQs1mZESs/+HpvqQfHTpz82iP149d/tmB/WtneliIUMSbt/np1YsjI1yY+0y3g1PLp72+M zrZpmanJ/y6Y/PFOwwNPTn7rxZ4Bh+aFzzuQbG3G7D0L5leFrpylQZkf0a0Jym9oWt96DbziD568 ZhTjtdNHr4jE/HsmfJf7KwAAIABJREFUSZXsaycOX/NrWPdGeiZvAGYvWBuln/1hypvztx+P0QbW rOpx9ezfP8wY/+W+66qImnp80aS3V/x9LtWverBf5oV9P858d+XZdMm6uGHWrDX7L2b5BtcO9km/ uH/NR3N+t3YViCiuNfv0qixy9ddvv1m+P1OcG/bvWE5nR+9Z3k0fHljfRUQ8mw4Z1bGMk5UWrFFT zh84nSYipcp6mu4sV3Z+OffXyKR01bYGs+P/+PiNzzYdueZdN7RhmaTj2+ZPnrklNtvmsM2yZQFY PdfmLw0pwAoxcxUn5TrUxrVn432yQLdWSwdYuHWbH0j+gZWch4vtZ03u7olgtZFbCnhfyj9mS7fl 2+dNm++psTCxZi6Ww6V6WX5gAQAAAECJVjx3QGuqD360ewMfjQT16b55+9pL17NFf+7nn2PrPv5G /6buikiVIM+4o1M3H7rWqq23mU3Qqupau9fj7du0q+6hEQlU9q6bGZecLWKo1Lq+04e/nUwObeIS v//X8z6tnijnlG6h5TZakex0t64vPd3Z/47dlWbbSTn00+9JdR+bPqCll0akyrOZJ1/8bsOpgdVq 2TBgSwHr5LYY0k8us30SREQUQ/0hQ9oEu0pWp3blft5Ub+RDoZWcpWyXpst2X7iWLaIRMYpH6yfH 9qjtIlKzSqnLL4Vv+Cu2Xcdo82Opc3s8kqnViIhGq1GU2353N6qle43u2dBXI4E9elTdvPJiYraa vW/N35q2rz3RrY6LSLVymlP/vn/GnpgtLdmsqxcS9ZVbtgut7aWpVTEgoGG8v5MomlsR3jnnUqrd U2N71DTcGPjUzX9cfLBnWr7LTL1+cO2OjGYvju3e0E2RaqPGxny6JTYxUTU/Y3Xv4iz08Da/Kpw0 5qfd7Ij6e9x41dI6zzU0fdnGtVy27olI7egadeBymRb1kw/ui0xrW+Xc/hi32o3KOMmNE5ZnVs1c sB623VpSjq7ecEHEr8ukd4fVdM26tPGtVxae2vG/XYPqP2A4/OO2yyKVhr39VtfSEvvz5Be/PfPr log+g9MSPGvUbtFs1Ngu5TWX1r7+8tILF05fyWzvZa0fbUC7Qa1Wv7vj3P5oEd+O/RuVUuzp/Xyf xxo0DHJbcTDVvUqTJlU8NCn7LbXQyVyBj9h101/6Qy9ZyfFXU1URl6a9mnhrtomIqNm1Rk4d1bKC 9sQXL1lq8FY7WTG//7g/Xcr0fe31sNLarKg1U6atP7p2W1S77nE2hW1hlvJdANFmz7XbzfebvTSy gwuwQsxexbnZsvZsfVjYcGttc/MdFh8TLuYvUtXcQGy4BkvOwyXfs5aR64i7eSJYa0Q8c60iW9ZG zlrNd6WJpduy223zlrzP8p1fRCyunJYNj5m5WIx1LD6wAAAAAKBEK5YJaJ1PcNCNHInOWauIiBiT I08npJyd/fQo0/dizMjICohJyhJvM7v5FENgq46GU4f/WH/m9Onjh/Ydua6GioiIS5U29bSzfz+V 2rDCvu3nfVuPKetkTLTUcikRnV/t6l5m8khm2smKORedFdCh6o3ANZ7BdXzTd5+/ll3Lhl3mFgOW 3DEUbBJERLSe5UwvKTq9VudV3stJRESjddbl/Har6AIbB7mYvjYENa6i//1EXGpjC2Op42J5TnLT eQdXNL1ZcTL1pWbEnYiWcmFBpmLfimtQvbJas+kGG2I2y1Cte6cy73zy9HMbQ5s2bhTSLLR2aWfF SrVixalioxvRmAb+69krGcnx+c5w5uVTF41lB1Q0/eN0xbX2I6/WlqwLq8zPWF03u89CplLW8qqw dURZciMBbdPicQ4KrSoL9l1I9jkc5Vx3ZLu4A8sORScb9p/XVgsLcrZYZ9rMBWujrPjT59NFfELb VHVVRJxKN21XaeGps5eOxma2cz99IVPEv0EdH62IBIRNWxx2411Dn3L7c+vvK2dOPHX8TFy6iIia 75Zrxa12356BO5ZGilKtd9dKznb3ftuKstKC2QS0ZCZeuSwiItpSFUN7Pzo6xFOJFhERz+a921Xz c86KOmu5wVvNZMQcjRGR6FWTn16V88P4c/Gp8TaFbVE+C8Bo/VybvTREks7bvkLMX8VW3M3DwpZb a36Xj+Jt/iI1NxA13pbASsrDJRezZ82YnHuq7+KJYK0R68dbW3W2rDSzt2Vxyz1vWVctnJq6N1Ld liY2zfzFkhlldUgAAAAAUFIVywS0ojM43fmroNEoWt8ur03qVeHWr8Mag4f5342NV/d8PXX2Ln29 1q1C2zzcqc2Wdz5LMb3iEtymtszZcepCte2Rfm2eLKOz0nKy+UgstSMikvtYRaOIarzzN2Q1KyMr 72/NlgO+LYYCTcLNt1v8xhyNIqrRFLSlsVick9x0znmOUY2qmqtRxcoOrwLEfGs+FbfaQ6d/2fHY 3n/27t+74u3li5s8Of35NqXyi/QGjaJoNBrFlhlWs1VRNGYyP1bOvl1nwdqqsHlEOd/bMjTFtWqz CinrDp+pcDS5fN/K1RJKJ247fsblRFpQ78oulj/o0KYlYdaNCbpzWaiqUUQ1iojkHoLpLcmHvh7/ 9vYE58CmHR8Y1ilp/dyfLtrUl863ehV3iUzyrlrFU2tv7wWI35yAPjPeHxh425xnmf6nd9VrCtCg 0WgUUSo/9MLAqjllcLWelfXqMVvCtiifBWDtlihi7dKwdYWYv4qtfFrk3TwsbLm1Xs+nTUsXqbmB PFvLpsBKysMln3tvq9vWwd09ESw3Yo3VVVfglXbbw/H2lq2eGgsTq7tg6WIBAAAAgBLrZg7DzHah kvLrj8a9fAWXa6djFA8vLy8vr1LOMRu+mLc1JtvswWrS4bW/pbYZN/WVkb3aNqzqp03LuDl0xSW4 XS3jgTWrf44KaNe8jK6ALefI247Oq2IZXey/p2+UmTQmnvr3slO5oBupruz0bFVERE2NOhaXZzOi lYDtngRbqVmR+86nmr5Oi9x7JsM32N/F6ljs4+RbxV8uHow01TxWU88fir6LwPPOZ3b8nh++XXvO vVbrno88M3nm5E7afZuPWCvFq2ZG7Dt/I6WaFrnnTEZA9QBnG2bYyaeKv0Qfikw1tZ3y7+cvvvTV KZe7mzFzZ0Fn26qwPqKcnIdti0dTqkZT/8t//boj1q9+kFupanVLRf/x619XSodW9yiSfxHu5FM1 0Fnkyu4/zqSqIpkxu7efFZEyNUo76bwrl9aKxOw9EJcpkh27acrIIUOfX3g66cLOPQkiFR8e9/yw ni1KpyTn20lh9p5TVsB0O7XSQqGHdNthflX9RNSU7IBaDRo0qFMu/dSBfQfPJqlOtoVt2V0tAJ25 S+OYlbrteRgLehWbHUPB75P5vsXSAZZu3WZvR8luNgVWzB8uhXDvFZHCfiIUlE0rzdxt+Y4L2/qp EcsTa/Y5UqCLBQAAAABKkmK5A9ocQ9UuHf0mLHhvgQxtX1E98dPcdRdD37SQ5VH0pXydk0/+feCc T1Xtxb9++OqvlNRq0Qnptcs6axS36m2rp8/6KylwSGiA1mrLVj/jKW87rjW7t3KdNv/THzQPNfa6 snvFN8dKtZ9S3VW0amlfJfKXdX/X6R6YcmDVkmPpit+djVkKuIz9k2ArRRK3z/mi3KiuwcaTG77Z dL3aqFZldK7e5sciiXe+WRRj8qVLV5IM3vn0o/EJ6d5gySefzw0c3TVYTm747t8UcbEnqal1NTuf Gr1E/rr81+vOj3appr98ePPeax6NyhgUJSknQl/327bDaSTxt8+/LDc8rIrx5PpvNqfUG9vCX2vw yXeGFa+GPUIWffjF3IqPdq/hFLn5qz9Sa75WwTvYwowl2TQoc2fBSZ9gYRlrzU+72RHlbOG0bfFo /eo2cF+6/rR32MhSWiePelVl7Z+RpfvW8daK3NqEm+u8+9p84kQSf/3g5YPON//o5VTxofEvtK3V J6zsP2subZj68rHa/iknT8ao4t6qfws/rSL1erUpdWh7xJIJr/8TpEacjM6QwLbtAl10/h4i1yMW hk/e7XX16KlrImY2g9rGtcC960XRu+lF5NLW71aUGTWwucUW7ArIWki5j3Iq365rtZ8Wnlw1dfK5 Rj4JB/edS3aqPaqrm9bDxrB9U46s/3Gfvu1DnSve/lln1hZAfsxfGnq5ZvPoLVzFt3WS/9qz4z6Z 71ssHKCI+Vt3LQ9zA3GpZFNgxfbhUrB7r7X5lkJ8IuQaq+33JZtiNvtwlNv/5GXp1OTc+S2tHGez F4ty9dYQXFOPrv9xn6H9gE6BegEAAACAkq3EJKBFX3nApDf0Xy36fubWRK1fzfZPjn+4uqXfcQ21 ho55cPaCT99Y7+Rfs+1Dz77oMe+zRZ9uqj21Zzmd4lajTTXt/uT2TW9+tKCFlvNJaeVpR3GtPWLq i67zli2YvirVpWydLuMm969uEBG3usMfbT970SdvbPMIbNx9xKiUT3+yNeAp7eyfBBspro1G9nL7 /et3llx3CWwyZOJjnQK0IhbGcuecaH3rNau6+X9T3koKn9Ejn440Xs2fejP526/+N2tKpn+jHoP7 x326uWD/ovoG8/OpuDcc9Xzfud/+8P6kFNXZt3rLR18bWs0gcivC94YH58616cp2fzrs2pqv3/4u 2b1y6KjJo9v4akW0+c+w4tlk7JQnv5v3/SeTv8v0rNh8+LgR9dwVxcLZt435s2BpGfcwP+1mR3Tr lNm2eJzKNq7ttv6vinXL6EXUCo2ClD8v1WkQcEciKtes9rN5kCLZ1+MvX8/5zpCYLeJcZeDUcJ/v vtuw9/SRk04+FUM6Dh7Rs4GnIiJudUe9Nc5rwdJth06cNHpUaNJzyKjeFfVatfOYh898vmpPdFSs b5vhQ6OXLD50/fCeixnVbC23kkuBexeR0i17t/rtqx2X/t13Numh5v6WW7CPlZBy0ZUJe22qduE3 a3fv+/O8S0DtzkOHDWpXWieisy1sn5TTv25Y516t94MV76h8a9MCsMD8pVGQPeoWruJcbFl7dtwn 830KWGrT0kXazdxAFNsCK7YPlwLdexOsTnghPhFyFOS+lP9Ks3BbVu88Jr87v6WJNXuxiPbWEIa6 n/51wzrPmn1JQAMAAAAoIaz8s2slv3+Sff/JjFg+7s2D3WaGd/a/m5IShdaOI6UdnfPczMznPn2+ ru25Untlxu359bBLSJvaXloRyTy7+OWpZx6ePbHFXeTq7hP38iyg5FKv/xk+5pPjhmZvzCmMpZK8 74vF2hFP1HcphNBQuO6Hh0u+ivkT4W5vy0m7wp9ZXnf6e/3Kl5w/8wMAAABAQURERLi5uSmKsmzZ srCwMKPxxr+cV1XVlG3esmXLmDFjNCYODfVeMyZFHvl73eKfE6o+2MT3Ln6xL6x2/lOUrEvb5s+e /8vxuMSEyH2rv/3lerV2NdyLR64BKO4yI9fPXXZCROz+xMfcjIkHNx6qGlaATfq4N/47D5f7+YmQ nXzp2OG4LCdn3f0xHgAAAAC4W/+tvTmZ0dvmffqbvumwZ1v43k3qvbDa+U/RlQ174emr85bMeP7b NINvlSaD3hjR2ofZA2ySfT3ieJwqhiod2hfCP8jXeNbvP6wQokJh++88XO7jJ0L6yUVTZ+32aP1o qN3F4AEAAACgBKIEBwAAAAAAAACgEFCCAwAAAAAAAADgeP+tEhwAAAAAAAAAgMJlpcwGO6ABAAAA AAAAAPZTFEVRzH8YOwloAAAAAAAAAECRoAQHAAAAAAAAAMB+lOAAAAAAAAAAANxrJKABAAAAAAAA APazUgOaEhwAAAAAAAAAAPtRggMAAAAAAAAAcK+RgAYAAAAAAAAA2I8SHAAAAAAAAACAwpdTf8Ns IQ52QAMAAAAAAAAA7JSz99nsJmgS0AAAAAAAAAAA+1kpwUECGgAAAAAAAABQJEhAAwAAAAAAAACK BAloAAAAAAAAAECRIAENAAAAAAAAACgSJKABAAAAAAAAAHZSVfWOL3IjAQ0AAAAAAAAAsJOiKHd8 kRsJaAAAAAAAAABAkSABDQAAAAAAAAAoEiSgAQAAAAAAAABFggQ0AAAAAAAAAMBO1IAGAAAAAAAA ADgACWgAAAAAAAAAgJ1UVb3ji9x09zYYAAAAAAAAAMB9xWzq2YQENAAAAAAAAADATrlLP+fNRFOC AwAAAAAAAABgJ0pwAAAAAAAAAACKipUSHOyABgAAAAAAAADYT1GU3IU4ciMBDQAAAAAAAACwU07q 2WwOmgQ0AAAAAAAAAMBO1mtAk4AGAAAAAAAAANiPEhwAAAAAAAAAgHtN5+gAAAAAAAAAAAAlmNni GybsgAYAAAAAAAAAFAkS0AAAAAAAAAAA+1EDGgAAAAAAAABQ+BRFUVVVVVWzOWgS0AAAAAAAAAAA O+UUgDZbCZoENAAAAAAAAADAflZKcOjucSgAAAAAAAAAgPuJ2b3PJuyABgAAAAAAAADcLWpAAwAA AAAAAADuHRLQAAAAAAAAAIAi4bAEdNIfzzYLCWn+3I5kR0VwH0rZ/WqbkJDec05lODoSsTeYzEtb Zj7RvVVISMvHVscYiyq2wlWsph0AAAAAAAAoRtgBfT9LO/h255CQru8fSXd0JDYyxm+b/ubSvTEe DTr371TFxdHhmFfiZhUAAAAAAAAoOmZLP+fQ3bM4UPQM9V5ZvOJJrU95J0dHIvYFkxV/OipDDO0n z367hVvRhVbIitW0AwAAAAAAAMUICej7icYlIKiKo4O4yb5gVFVEq3ey9keTYqdYTTsAAAAAAABQ jBTzEhxqasSWLyeOGdL7wZYhISHN2oY99NT0xbtis0yvZl/8fnhISMiAbyKycr3HGPvjo6EhIT1n H88pyZsR/deiac+P7Pdg85CQZu26PfLKrNX/XrtVYDjt33c6h4QMXx197fCS1we2DWk6fGWsmfLD lg+z3n76kZndQkKGrIiM3bNo0ujurUNCQtr3euSZ8IV/xd5eNNiYeGTNrFcfG9itTUhIiwf7jXgu fOGf0bcdYkw+temL8SN6dWoZEhLSomOPR179fPOZlJyeUv55o92NYsRq/IbRIa1Hr4wXiVs+vFVI 0yd/S7Ktl7zD/H7/ctvm+Ta5gjHNwvtdQ0IeXhqVeGLNjCf7tGsaEhLarseINxfuijO1mvznSy1b Dp5/QSR509i2ISFDll/MtjPglbHGm92djfr9i5cHPRAaEhLSImz4pBVHkrJTzmyY9dKIvh1DQ0La dBs+acn+q7lPttUlZ35W7xipLTHnOxsAAAAAAABAyaCq6h1f5FasE9BZUf97/uHX5m3cE+deq223 7mGtqjlH7V416+knZh9MUUVEW6Zt33oiZ9f+EpmZ86bs6O0/HDBKpb49q+hFRCT9zJIXBj7z8epd V0rV7tC1c4uqujPbF08b9dBr6y7dluvLiFjx0uMf/nImzbVMGQ+txaDyHGZj+1d3vDNszMfrI93r tGndKCD52F9rZj8zePxPF28eY4z/bdrQ4eGLt+5P9K7f8cFmgcbTO9fMfnbgC8vP3Uxcpp367tlh b3y1+bhasXmXbmHNK2Qe2/r1+FETN8Zm5wlTcas7cuJLQ+vpRQwNh7302sRHqjnb1kveYXqVs2We bZJ28psnR4RvTa3WaeDAbk08ow9vmP30018dTxcR56qDXn9lVKibiKb6oJdem/B4Uy+NnQHnnL7L W8OHv7g8JrDDgH4da+qvHFn/3hNPvjj6kTdXXvBp1KXvg3WcYo+s//D56dvjb6ag81lyFmb1DjbH bGU2AAAAAAAAgJIhpwa02WLQxbkER/qJ5fP3ZkjlJxYveryGQRERybq46ql+0/du2njm6fp1nUXj 36pfQ82/+9f9Ejn88SpOIiJZFzb/cFSk1sAuQU4iIpnnlk78cHdWw2cWfjS8trtGRMSYfGzpK4/N 2vb2O9tbfNTJ52YO/tSihaW7vLn41R41PC2nn/McZnP7sTt2B3Sbtnpilwp6ETX9/IbpYyet//Xd 97a3/LCTj0ZN3PXhlDWXpHTPt+eO71xeLyLGq3vnPvfUV7tnhv/Udl6/slpJObRg/sFMXeM3Vs7p V04nImrS3hkDnvjht283Xez8SOAdp9I5sG2ffl5Hvln8r7bGg/0H1HYWEVt6MTtMY2x+82yjyDVr 6zyzaNWIWq6KiPrMoE8Gj1h4Zu36M6Nr1NIHNOvVzzdq6YLdUqlDnwEhriKiJv5lX8CSHiMikrAv pt8nK19v4a0RyXxk8ah+s44d3RkX9t7K8I7+WpHsESFP9HnnwM51x9M6tnC1ZcmZm1XJvG2IBZhk a7NRgEkFAAAAAAAAiqvivANa69/++UlT3n9rcDXDzdS5zrdmTR+RjJRM05ZVjV/L/o21cn7dpvOm vaUZEetXnRFt48EdymhFRDJOrfr+hJTpP6ZzQFr8ZZP4VL8Oo3oFSPqeDcdSc/Xn3Tt8fC/r2ec8 hxWgfY/OE18Jq2BKLCrOQV1fndK9lKTtWPZXvFHU6/uWbU0U984TXnyw/I3co8ar8ehJowLFeHDF tkvZImJMvZ4m4uzlbbhx1hT3hs/MXbJo8Tud/fMLWkTEtl7MDjPfebZZwKBXB9dyNZ1PxbVq+xY+ ImnX0/Nu4b67gG/QNHpmTDNv03Q5lWkaWlZEqj/xdLsb86X1b9IqUCQ9KePGDmgbllx+ChRzgWYD AAAAAAAAKIasl+Aozjugdf5NwnqJiDEj8VLU+cjI82eO7N25aU2siGfOMRrvZv1CnP7Ztf7niNFP VdOnn16zNkqc2wxu5WfajHz16N4YEVn6ZK+lZnq4fDnVKG430rn6uh1quOX/4Xe3HWZT+zdGUzes rmeu5hX32mGNDOu2n/snKr2b56UDZzJEU/+BOh65I9BXaNnMd15k5J7I9CEVXF3rD+7mt3PN1nE9 +oR06d6pVdPGjepWDqxeK9+Qb8q0pRdzw8x3nm1mqNOykuHWtxq9i5OIxXzrXQRs4l6hrGtOgIrO xUlEXzqwVE6SWuNkuG3/ti1LLh8FiblgswEAAAAAAACUOMU5AS3G60dXfzprwdq9lzJERNzK1axT s0qwPvJErmM03qH9m+p37dy48dxj1QKPr9oQIx5hg0JLmZJ/2UlXkkUkcEj4i0098iSXtZ7BuX7o 5uthy2zcdlgB2nf19byjVoWTVxlPkavxKUbJTr2aIuLiU8rp9ka0HgEeIleuJWWKiKZUywlL5tf9 ev73m/5YM++fNfNEpFT1DgPHPD+ybQXn/FPntvVibpiS3zzbzNnDuQAZ67sJWETMl50xV4kmhy1L rvBiLthsAAAAAAAAAMVQ7hxc3k3QxTgBnX1p7auPvv13RvkHxk4f1LFJ7Up+Bo1knJzz0K8nknId ppRq0r+5YedvP68/PbTlD7/Ei2//QQ3cb4xZYyhlEBGtV+0WbSrlU6tY0diUTL3tsAK0n3IlMVPE JddPsq7HJYkYPA0a0bp4uYjEJiRmqiK52jcmX0kW0bu73ThPWp/6/cZ91O+VzMSoo/v3/LVt3aq1 2+a9vO/CRz9Mae2Vby7T1l7yDFMkn3kugIK8464CtoONS67QYi7YbAAAAAAAAAAlTvHdgGm8sut/ f2dI0BOz3nosrHEVP1PhYzUzJfOOAxXPRv1aukr0puU/LN6eKOV69K+Zk+bVeteo7S1ybtPvl7Jy vSXr/OKhTUNChq24eJf1DgrQftahTYev58r/q9f2r/k7RSSocQVncSpbv4pejEd/OZyU+08EGVE7 /owTqdAk0FkkM2rj5++/9+macxmiOHkG1m/b54nJc5fP6uAqV7etOZFmQ7S29GKZtXkuIncXcIHZ vOSKUcwAAAAAAACAY6m55H21+CagRYwiImnXk3OSuMZrBxbPWhUnIrcNRfFs2K+1u8T+NHdHilTp 26uy/tZrLjX79ywncurzKYsOJ5k+RU5NPf2/dz8/ruoa929bumCfoJdXAdq//vNbH2y6YPoMPzU9 cuPM6T8nir754NZ+GlE8Gg9u7yFJm6Z/uPnGIWJM+OerqfPPi6b+wAfK6USU7Oity1d8M/urHXE3 Z0RNvXA0IkXEs6y16iFG442Pz7OlFyuszXPRuMuAC87WJSe5ZtXRMQMAAAAAAAAOpiiKuWK4Ig4v wZG1/7Nxzy2/MwhdmQdfGtezbOvBbV0n/bb06ceu9Glb1TU56sjOTTsTKtfxlMOJ2z//eMno0QNb BJje6l6vb1vPTesTRWo/FFbhtlIYzjUfnTZ612PzD342ouPSaiENAjUX/vnrRKJ4tAsP71HmbvPP BWhf8S2XuG5C7z+/Calbxhh1cO+ZayIebV574wE/jYgons1fntxj/ys/rX2j945vQutX0F0+9s+h ixni2uzVyb3KaUVEV6HbqFbzJ+3YOK7bntrN6gV6Gq+c/Pufs8ni3fn5odXNJoM1zm56keiNs97W NWnY97G+VfLvxSor81w0bJiWQqTxtWnJ5ZlVR8YMAAAAAAAAOFZO6llRlLyboB29AzrlxO6defz2 x8nrRtEGdAn/avLDzfxjty+Z9+WK305rm7++5McF70/oWVGfvG/Nj/9cuVXfwq1Wl8YGEW2TwR3u TCorbvWfnLdixuNdmgYbov/ZtnX/FZ/GfcbN+2FGtzKFkn23tX2vNm8umv1U18rGc7t+3xvtUr1Z z2c/WTajd7mbaVyNb/tJSxa88XD7Bl4J/27fujtKG9yi13OffD9rYMUbyWVtQNcZSz5+tnuDCtnn dm/9edPOEynlWg56fe7iKZ0DzKc19ZX7PdGtitv1A+uWrt4Vl2VTL1ZZmecicpcBF4xtSy7vrDoy ZgAAAAAAAMDRLNXfEBEzOemSKPXgjL6jv09q+8FPM9t7FbcPdks/MrPv8KWZfeevnVDf4Ohg7k6x nmcAAAAAAAAARS8iIsLNzU1RlGXLloWFhRmNRtMmaKPRaMo2b9myZcyYMRoTR0dbGLJjtsxbe1k8 OwwOIStahJhVQWzKAAAgAElEQVRnAAAAAAAAAAVRwj8RLePc8invbDh27ND5NKk6elRDd0cHdJ9i ngEAAAAAAACYk1P6uVjWgL5basblk4fOZ5YNHT5z9rAqVNgtKswzAAAAAAAAADNyks5mqz3fJzWg AQAAAAAAAAD3QIFqQJfwEhwAAAAAAAAAAIeyssu5pJfgAAAAAAAAAAA4jGn7c+4vciMBDQAAAAAA AACwn6IoZrPPIkIJDgAAAAAAAACA/SjBAQAAAAAAAAC410hAAwAAAAAAAADsZ6UEBwloAAAAAAAA AECRcEwN6IsXLzqkXwAAAAAAAABAuXLl7k1HjklA37PhAQAAAAAAAAAchRIcAAAAAAAAAIAiQQIa AAAAAAAAAFAkSEADAAAAAAAAAIoECWgAAAAAAAAAgJ1UVb3ji9xIQAMAAAAAAAAA7KQoyh1f5EYC GgAAAAAAAABQJHSODgAAAAAAAAAAUIKZLb5hwg5oAAAAAAAAAICdVFVVFEVRFGpAAwAAAAAAAAAK k/Ua0JTgAAAAAAAAAADYjxIcAAAAAAAAAIAiYSrBYfYlEtAAAAAAAAAAADvlbH+mBjQAAAAAAAAA oDCZPn7Q9FGEeV8lAQ0AAAAAAAAAsB8lOAAAAAAAAAAAhc/KJxCKiO6exQEAAAAAAAAAuP9YyUGz AxoAAAAAAAAAYKec4htmq3CwAxoAAAAAAAAAYD9LBaCFHdAAAAAAAAAAgLtnthAHCWgAAAAAAAAA QJEgAQ0AAAAAAAAAsJ+iKJaqcFADGgAAAAAAAABgJ0VRTMU3zOag2QENAAAAAAAAALBTTulnszWg HbQDOu3QjN6jD4xevWhQOa1jInAEY0bi5ZjYywlJaZnZqtbJxc3br3RpP089fwUAAAAAAAAAUGKZ 9j4XpwT0f4+aER9x4uyV9JwfZGemJsZGJsbG+lauXtFHb75CCgAAAAAAAAAUc2ZTzyYkoO+J7KQL puyz4uofFFja29VJMlOuxkRGxKWkXzl7QqevVcH9P7QVHAAAAAAAAMB/QnGr/mBMPLRiyojubZuG hDTvNHDcgv2JRpHU/dM6txqz4YrRdEj0/0a07PHR0QwRY+LBxW8M69YqJKRFlxFTVhy5bhQRNWHj 6LYjV+5dOWHgAw99diIjd/OJWx5vO2zJju+nju7VJiS048OTVp1Nt9yv6fhHFm2Z/9KAjqHNHhg8 fsWRUxvfHtWtZUhIh4fDN1zMuhm0mTByUdPizseki4jOp2q1ID93Z61Go3V29w2qVtVHJyLpMefj 0iz+jQAAAAAAAAAASqZiloBOPfjxi+/tLjto0ufzv5j2SMUDn02cfyJDXKp3a+lyZN3+a6qIGGN2 /HjSL6xbVX3GmYVPjv06sfWLnyyc/97wwH0fjJ2wMdaU+804vTD8B2OHsU89WPbOPd7px795f2fQ YzMXL5nR07hxxoxf41VL/YqISNqxeXOjO01esPjdrhmb3xs+aonrsFlLF05qeWXNrAVH0kTEShgm anrClVQRETF4uenEmHzx6L59h6OSjaJzK2UwjftKQjoZaAAAAAAAAAD3l+JVgkNV3ZuMmtirW68G XhqRYM1v3710MTFLxLVGtxb6V37693rHtm4xO348FdBlUiV92rHlyy+EvjnniQ6lFJHa1X0u9Xvs h11XuvTQiWSleg75YNpAc59waFQrjHx9RMvSGqk6fHid7786dzVLvC30qxcRcW3+/LPd6npI5kM9 Ki3/vtmrYzvWMEjFwR0+3Xr2SqaIWAijp//N5L4xPflG6eekMwf2iIjoPMtWCnDVSNb1q6bMtKQn pxvFQBUOAAAAAAAAAPeR4pWAVlyDu/RxPfTPuiWHjxzav+uPPVfVjiIi4la7ezPd+J8OJbWs/Mea U2W6TamoNyacOhKXdHR819Za0wf4GdPTM8tHXcsSXxGnMiEN/Mync53861b30oiIaJxcnBQRUS33 KyI670r+zqbDDTon3yp++tzvFWOipTD89RZGaShXI7isQU2Ljzx7LiH77mcNAAAAAAAAAIql4pWA Nl759e3Hxv/i3Lxblw7dn3uo+/+efjPJ9Ipbne4hMmn9obP115wq231qoJOIUVW1pQfPnjeySk6m V9G6ltLLdRFFfyM/bIaTQX/nS5b7NTUrlr4RK2Hk0Di7Ocu1tJzvs5LjLl6Q1Cux1zJzfubs5lzM qqEAAAAAAAAAwF0qVllP9erfC39K7v7R/A9fHdmzVZ0yutT0m7WUFfd6PRpl7/x2/vLTFXp2CnQS 0XhWruoefyRK8fbz8/Pz83WJWjLlrVVR9uwottJvvmwIQ3H29nXJ9b3Bt2z58mV9nXP9yMXX29lS whwAAAAAAAAASiYH7oA2JkUeOXAg7mahDMWlbI3yPqVdrh3c9ufxgNrac5vnTt98PaV+ZFxqSEUX jeLRoGeDtHGbI6o+37G8TkTEtc7Dfcs+8u7zM+SFXtXlwMLw7851nFtBL5JS0EgUg6V+bXizxTBy t+8fFHD5eGy6hSacSwf5G8g/AwAAAAAAALjPOLIEx8Vlrz+x7Na3QWO/Xz7yhUkDx787YehifbnG Pca8/Z7XtDdnTljRZMGISk6KZ4Pu9bU7Ent3KH8jaOeaY+fNcZ4+84uXV8bryjTuFT7nuQauiqgF j8S1sYV++9rwZgth3EbrXqFa5eyTZ6+ky62PIrzxdt/K1cq78/GDAAAAAAAAAEomVbWYlFWsvFbM ZJyYM2DEzqH/+3ZguRKarjWmJ16Oibl8NSk10ygaJxd3L9+A0v6lqP4MAAAAAAAAoKSIiIhwc3NT FGXZsmVhYWE5GWZVVY1Go4hs2bJlzJgxGo1Go9EUrw8htMSYeGrfP799vSyuzsvtypTQ7LOIaJw9 A4I8A4IcHQcAAAAAAAAA3AslIwGdcX71WxPXGTq8/HZYabYLAwAAAAAAAEDxYaXMRslIQBvqvrJ6 5yuOjgIAAAAAAAAAcCdFUcRCGpr9xAAAAAAAAACAIkECGgAAAAAAAABQJEhAAwAAAAAAAADspyiK qQpHXiSgAQAAAAAAAAB2svIJhFJSPoQQAAAAAAAAAFAMKYpiykGb3QTNDmgAAAAAAAAAQJFw2A7o jIyMqKioxMTE7OxsR8WA/zitVuvh4VG+fHmDweDoWAAAAAAAAICSyrT32Wg05n3JMQnojIyMY8eO +fj4BAUF6XSUAYFjZGVlJScnnzhxombNmnq93tHhAAAAAAAAACWSlTLQjkn+RkVF+fj4+Pj46HQ6 Sx+PCBQ1VVUNBoOiKFFRUVWqVHF0OAAAAAAAAEDJY70GtGMS0NeuXQsODtbr9VqtlgQ0HEVVVY1G U6pUqdOnTzs6FgAAAAAAAKCkMuV4ze6DdkwC2mg0Ojs7k32GYymKotVqnZ2dKUQOAAAAAAAA2Ccn 72w2Aa25t8HcoigK2Wc4HOsQAAAAAAAAKDoOS0ADAAAAAAAAAO5vJKABAAAAAAAAAHbKKTBgttIA CWgAAAAAAAAAgJ2KaQ3oQma8dnjD/7ZFpjs6DgAAAAAAAADADfdLAjo78ciGlVvPZ5jJsQMAAAAA AAAAHOF+SUADAAAAAAAAAO456zWgdfc2GKuS/pr89KqQJ5sfXb5mb7SmQuiAJ/u7b/3yu+0n4/UV O4x+9Yk2/loRMSadWP/V/J/+ORNv9A5u1ffRkWFVnS+uHPfy99EiHz/62L9vzRlbPevkpm8WrN59 +kqqxiOwSY/Hx/ap6W5m8Jlxf6/4cvHWwxdTXMvX6/TImAFNfHVivgs3M28HAAAAAAAAgP+4ElUD Ou3sD9/HNX9q+owXW2f+OX/8hHWGXq+9/86TDa9uW7jyVLqIZEateWvqyuTGIya8M+3lXmWOLZg6 +494Tfm+M97vX9qpxrNz546p7px+fNGMr//17zJ20rTJz/Use3zp7FXnMvN0paYe+Wbi+5sym42e OH3iqJC09TPeXHQizVIXxns+FQAAAAAAAABQwhWnHdAiorjUHza0bTU3yercvvzGjfVHD2xW2VnK dQtdsuvCtSwRObthQ0y9sRMHhHooIlUrloo7Ounng9dat3fXaBQRjVajKKrqWqfvmA5tO9Tw0IgE KXvWvheblCXidHtXKUfW/pZU74kXBrXy1ohUfT7zxHPfrjs5uHr1SAtdeLMJGgAAAAAAAADuZCq+ YXYHdDFLQGs9y3vrRUQUnV6r86rg7SQiotEZdIqIiDHp/OmElDOzxg7TmrLBxoyMrNIx17PE/VYb iiGo9QOGk4d+W3f69MljB/cevq42ExH1+q63n5l5IFVE8Wwx4ZNnfc9dzCr9QLCnaQ+4plRwXb/0 vyISM8tZ6sL7jgw2AAAAAAAAAPzXlZwa0CaKxW9ERFVVrW/XN8L7VMgJXNEaPJwkV4kM49W/5036 6E99/batm7Ub2rnd5mmzU0REcW/49AefpBtFFI3ByyBxdzSvaERENVruAgAAAAAAAACQS+5dz6qq qqp6Rxq6mNWAzofGvXyQ67XT0eLp7e3t7e1liFk/54tfYrJzH6NeP7Rme2rb16e9NrpP+0bBftq0 DNMcKM5e/qVLly5dOsC/lF7ReVUqp4s5eDrR9KLx2smDl/Xlgko52dAFAAAAAAAAAODGrmdFUXK+ uOOAkpWAFkNwtwf8T3z97teb9588uW/dnFlrLwTULu0koogoxqRLF68kZelL+RmSTuzefzYu7vz+ NXM+/zM5NSE6If3OjxF0rdWjjdvBebNX7Dx66sgfSz+ef7RU+x41XC13AQAAAAAAAAAoiOJXgsM6 feVBU9/Uf/nNivd+uab1q9XxmTeH1nBRRLR+9ZsHb/r+zcnXp384/JEnwz766uPXftIH1Go74IWX Pb745JuPN9ae3rt87tEqrnVGTXvF5YvFX4X/L9W1XN1ur701oIbBShcAAAAAAAAAgDzMfvygiWLl taKzZ8+e+vXrOzmxrxiOl5mZefDgwSZNmjg6EAAAAAAAAKAEiIiIcHNzUxRl2bJlYWFhOXWfVVXN zs4WkS1btowZM0Zj4uhoAQAAAAAAAAD3JxLQAAAAAAAAAAB7mApsqKqa88UdB5CABgAAAAAAAADY w1R8w9K3UvI+hBAAAAAAAAAAUGzkJJ3NftwgCWgAAAAAAAAAgP3Mpp5NHFOCQ6PRZGVlOaRr4A5Z WVlardbRUQAAAAAAAAD3IcckoD09PRMSEqzkxYF7Q1XVhIQET09PRwcCAAAAAAAAlFSKouSt/mzi mAR0+fLlL1++HB0dnZGR4ZAAABHJyMiIjo6+fPly+fLlHR0LAAAAAAAAUCKpueR91TE1oA0GQ82a NaOioo4cOZKdne2QGACtVuvp6VmjRg1nZ2dHxwIAAAAAAACUSIqimFLPZjdBO+xDCPV6fZUqVRzV OwAAAAAAAACgcOUko3M4pgQHAAAAAAAAAOC+RwIaAAAAAAAAAGCnnC3PZmtAk4AGAAAAAAAAABSC vDloh9WABgAAAAAAAACUdGY/ezAHO6ABAAAAAAAAAEWCBDQAAAAAAAAAoBDk3Q1NAhoAAAAAAAAA YCc+hBAAAAAAAAAA4AAkoAEAAAAAAAAAdsopu6EoSt5N0CSgAQAAAAAAAABFggQ0AAAAAAAAAMBO 1IAGAAAAAAAAADgACWgAAAAAAAAAgJ1y14DO+TqH7p7HAwAAAAAAAAC4f5gtvmHCDmgAAAAAAAAA gJ1UVTXtfVZVNW8mmgQ0AAAAAAAAAKBIUIIDAAAAAAAAAGA/KyU4SEADAAAAAAAAAOyU94MHc6ME BwAAAAAAAACgSLADGgAAAAAAAABgp9z1N0wfRZj7VXZAAwAAAAAAAAAKQd5i0CSgAQAAAAAAAAD2 UxTFUiVoEtAAAAAAAAAAADvlpJ7N5qAdmYDOTvh35btPDujSJiQkpNWD/Z4IX7I7NsP0kjH6h6Et H156MVuM8XuWfb3mdJoD4yzaYDLOzO0b2ueL0xm5fpby9xttQ0dvTFBFjd8wOuQ2zTr2e2b2lgsZ IiJph2aEhQ5ZfjE7/zFkJMZGnjpycP/ePXv27D945GRkbGKGsTDHAQAAAAAAAOC/LG/9DXHghxBm RW+YOOzNX6TpoGHjngr2ybq4b8PCWU8NP/bed5M7+mnFtXr3Id1ruiuSdXXP8q93+fTvWdVgfg/3 PeDgYBSnxi9/8lxdg4iomUmX9q744PPXxnn+8O3ISra9X82Ijzhx9kp6zg+yM1MTYyMTY2N9K1ev 6KN32LwCAAAAAAAAuA+Y9j4XpwS08fKWd97+xWPInPkvhHqZdmG3fqBT4/ABz8/4akDL1+sZPOsP eaa+iEiG1XbuCY2jg9F5Valdt66r6Zt6Dasb/wqbuGVv/PBKpWx4c3bSBVP2WXH1Dwos7e3qJJkp V2MiI+JS0q+cPaHT16rgri3S8AEAAAAAAADcz8ymnk0cU4LDGLP9uz+1D77yWFOvWwFovJq/MHv2 xDA/RRVj7OrhrR5eGnF6/sMD50ZmHHij04NvHUjN1YKasHF025Er9678P3t3HqdT+f9x/HPuffbV jDGMbWbsQ4wlZK+JUGkvVJS1r/KjFCJLpbShZE9aSJIUaVGWKMo2GBrGOpjF7Pu9nd8fMxgz9z0h 0z3p9fyjhznn3Nf1Ode51ePxnqvPmXB/93vfizeL2LNjPxk/oFeH6Oibb3/0pZVxOXYRyd89Kebu mes/mzq47y2t28c8/MKnB7JLGk+Yz22ePfKe7m2j2/W4b9R7W5MtxePmH/1y2uO9OkRHR3fqO2L2 5hSrOC3G4QiXFxa7c/ptHYZ+m1Y8pz3pi0fb937n0N/LsRWDh5tO0Ruv6HcHamHqqeQiEdH5148I C/Q0ajUardEzICyivr9ORIqST6UWOv12AAAAAAAAAMDf4JoAuuD4tgSJ7NbYq6T7g2q32Ww2m3hF tm0fFXypJ4S+zmOffDq4piFq2ncbJkS5lRnFnLBs6ip712Ejbg3RmY8tGz5scXbH0XOWLXl9YK09 bwybsCHFLiJiOb1y6rKczv83a970h0L2vDVk7JqzNlHzdr85aMwqS7fn5i59b2yn/BWjB8+KzRcx xy/6v1e2+t/70rxFs59pl/LxizO2Z6sOizE5GeHywuo26dXeLW7d3ixVROzJ2746EhjTq77hatdL tVptNpvNZrMWZp7a/tHCXaZbHmjtdwXPTi3KSCvO7U2+Hjqx5509tGfPwcQ8u+g8fEzFzyIto4gE GgAAAAAAAMA1qfglhC5pwaEWZWZZjIE+F5Lm3K0ju/7f7yUpqOft89dPv+nCpRqNTquIotVqNeWq txZ4P/zG9PtraEUKY9/97EybF+cO6eqjiDSO9D/X74lVO9Ju7y6iim+vKS8NjPYQadnI/9zdTy7/ 4Uzfu09+tD6rzfiPhscEakQav2KOveut5QdGRDVJO5ZubBhzZ/foAE2ryJo1OyaH6EUKHRSTs9vx CK0vL0zyet1sGPvN/pxunTySt311NOj2SXWuNn9WC34e1a1tqQPV+70759agK/ndgb0or6T1c+6x fbtERHTeIXWC3DVizcks2VFelFdkFxNdOAAAAAAAAABcvYv9N6pOD2jF4OWhLUxLK1TFXRER95ue /3Bpjl2kKH7h2PeueBh99ejmgVoREXv20bjU3EMv9OyoLY6p7UVFltDELKuIKPrwjpEexZ9wj+jc xLg+9kxep/iTlpp3NSlpAKLxa9q6euHGI+nW6KYD7g0bOb5n7xXdunbs2KVHt1a13BR7Tvm5LWlO RmjtUbowEY/Gd7TVvfDNgdz2dX9Ze7R6r5dqX/X+59IvIbTln9v58Yz5k97tuWbCTe5XO5KYajQI DzGphemnj5/IsF31xwEAAAAAAADgKrjmJYSmOm3rqPN/3J99e2cfRUTjVbtxUxGxpxzLybd7Xeko isFNX7It2q6q2uAHZy98rN7FeFfRuvsYJLbsZxTFblNVKZvFa0RUu1003q2e+fjHfru3bNq6bcvc EXPf6Tzl49d6Otxr7GSEMoWJeDS5I1omrT9wPGrt0ZA7ptTSl6tIo4jddnkabLeqotFemPfylxA2 CT77/X2rfz1jvinC4bJcVpTRwyhZhRd/tualnj0jBWkpWZaLx4weRtc0YgEAAAAAAABwg3NN9Kir 0eOhltbNs5bsvvBKQBGxZ/++8P1Y27X0I9Z4163vmR6XqPgFBgYGBga4JX760rQvE20iIqrl6C/x ecXX5SdsjSsMblrdIyCytv7MjrjMkpcDZhzYmWSoE+6vpGyeP3PpYe+WvQaOfnnRF4vu0W79/I8M u4MZ9U5GKB/oK57Net9k2/7hks8SavbpUS5/Fp1vnera5F37zlsvHFHzj247WOAXXt3ooGeKiNYr 2EspSM93VFa5yY1+AaVbZ5sCQkJDQwKMpQ65Bfg5ngcAAAAAAAAA/h7X7IAWbfVek579qf8rQ+/5 8/4BvaLDfc2n96z/cNWJWk29j19+pSKi2LJPnkrOdg/2NjhLSt2bPHR3SP8ZT78mz/SNlH3Lpn58 otuCmobiATLWTppS9/mHmthil7++MjNqXM8wvVdQ/55eQ1+dOF8zpFNgyk9zZ+7277ukuafGohz9 eu7aTLfxDzY3Ju1ctTXdr2Mtd42jYoJaOhxBJKNsbYpX8z7NC5/94WT9p7uFOgiofds/NaDWwNeG Ppc6qHeLGvrso1s/m786p/2kRxubyu+zFhFFq9Oqeel5NhGtiNhzT8ft25d6oYez4hbSICLoYqSs mKqFBZ3/M6XIycIZg8OqmcifAQAAAAAAAFwbVVWLXz9YdXpAi4joa/abubz6J/M+/mHF6yvP62s2 vqnjkPnTOyVNePzny67TBbft3nTVgkFDspauHNvU5Gw4Y8NhC+caX35z3pjV6brqLftOnTuqubsi +SKKZ8fnHvP85pWRszI9wzs9PX/iPaE6Ec9WY5fM9Jg+Z8bwxXmetds8+PbiIVHuItLh+RlPTH1j /ujHc+1uwVExL8x+JspdUh0W43gER4mxd/M7orTbsu/s6iB/FlHcGw9ZsCjw3XeXvzdxSabFPSgi +oEZHz7ePcTZewGN1ev7mdev2na+XScRkbMrnh+y4tLZsGGff/ZE3UsbrbWeNSPq2o4cTyuSS68i LBkooG5EqCevHwQAAAAAAABwrYrT5+I/KIpSJoYu+/MNJn/3pD5jzK+um9Hm6l/Yd/2Y4+fe9+j2 R7748P4arkp77UXZ55OTz2fmFljsotG7efoGBAVX86H7MwAAAAAAAICrcvLkSQ8PD0VRVqxYERMT c/G4qqp2u11V1Y0bNw4dOlSj0Wg0GpftgP6PsGcf3fPHlsUrUpuM6VzdhXuNNUbvoDDvoDDXVQAA AAAAAADgP4cAunKZT62ZNnGdqeuYV2KC2W0MAAAAAAAA4D/lBg+g3VtO3fjzX19WeUxNx67ZPtaV FQAAAAAAAABApan4JYTsygUAAAAAAAAAXKPSLyEsf5YAGgAAAAAAAABQKQigAQAAAAAAAADXQfku HATQAAAAAAAAAIBrp6pqcfRcvgsHATQAAAAAAAAA4BoVv4RQURReQggAAAAAAAAAuJ4qfgmh7p8t 5hKz2ZyYmJidnW2z2VxVAwDgBqDVar28vEJDQ00mk6trAQAAAAAAl3FNAG02mw8fPuzv7x8WFqbT uSwEBwDcAKxWa15eXnx8fMOGDQ0Gg6vLAQAAAAAAl7gm/E1MTPT39/f399fpdA43ZgMAcIVUVTWZ TIqiJCYm1qtXz9XlAAAAAADw36KqqkajERG73V7+rGsC6KysrPDwcIPBoNVqCaABAH9H8X/nfHx8 EhISXF0LAAAAAAD/RRdfP1j+PYSueQmh3W43Go2kzwCAv09RFK1WazQaeakAAAAAAABVjWsCaBFR FIX0GQBwXfDfFAAAAAAAXEW5XJmzLgugAQAAAAAAAAA3Ntf0gAYAAAAAAAAA3ADK930ujR3QAAAA AAAAAIBKUfUC6Ly9c176/HTGb5P7P70q0fpPz2u5mo/klhRpP//9uEeeXZ9iE3vWwW+/+Pl0Uemz FU2Xs29m//vvf2jKL1mlf0ug5vw+45H7739g2q58EbGn/fj8/eU8MPWPfCk6snjIA89+m+r4rVuu Wsm/x3zswxGPvrqnwNG5a3hGZZR+QP9+hXFzBg+efbDwGj9edPj9Jx9/e3+5pXZ2/GrHUTM3T3hk 9Jdnr8937/qOBgAAAAAAgOuogpczVbkWHAUndpyPuLW6PsVF817NZ/Qh7Xt1re6lUXS1O93Rqa67 RmzZcd+ujvW+rUstY8UvwyqZTpcjImL7c3NcToebvUs+ouYf3RxnESk1guLW8onn7qljuHRE41HD dGV39E+vZOW5lmdUxhU/IAAAAAAAAABXQlGU4i4cF/9QWlULoItO7Txbp32oXv7h2PTivFfDWDvm 4doiItLgjocbiIhc6ebci9MdFo02uL7H0c1/5rZr7VWciRYmbDmsq11Df6bUB3S+YeEREcayw1zJ FDdMAH1NzwgAAAAAAACA61SxANp85o8TNdo8aBSbiKiFp3+YM+fL345nGcI6PjJ6aI9Qg4hYUn9f Of+Tnw6ezXcPbdaj/9D7WgXoRHJ/mzzyy+jh7Q59tnZ3kqZmm/uG3+P50/yPNx1JN9TuOui5IbdU 04qIPTd+/aIl3/xxLN3uF97h7sGPxdT3UC6bVy089dPS+Z//ciTdbKrW7LbHRjzUOkBS1j8/evOt s169LVAjYk/74YWnf+j29qsx1Qp+mzxsebMZb/Zz3zxh1IZbXh9V+PqYz5NEZg1+Yv+0uf2d3sKl 6URE9CFtW59duyk+P7qVhyIihce3HtS16Flrz+f5/6qVNJ1bM/b/fmzz2tsP1dZbjn/09Livtfe8 8dYDYXpzwodPj4/tNev1PgHpDmZUs3+Z9L9vO43rGrdo+YnWk6a3LXUP370+4aOCPlMm9qvvply8 o2uu0H0tbLAAACAASURBVHh29bOlHtCwSOuR75d+sGZnQlqBxqtWq95PDruroaeDjdEOF6owbs6o eZ4DehZ+/832+Ey32tF3PjmkV4SH4vRrlvvb5JFr2jzT9eTqtb/+eV5X+5b+zwzpHmqo8Pq/vk0R S8q2hStWbfkzy1jrpjsGD72zsbfG+VddzUvYsGjBmp0ncr3qte/b3XLhF1LOjl/tOE45/rKJWFJ2 fDrvk00Hk2yBkTf3G/J4tzCTouZd2XMBAAAAAABAFVHcf8Ph2wirVg9oS9KuI9Xa1XUr+eGbpfvC HpowY8rwjvZflizZlaOKWhC3dOLM7y1tB018eeLj0YXrX3vxo/iSFriFx1d9ntpuxMuvje5o+XXJ CxPWmfqOm/nq8BaZPy9bfbRIRCyJa6dNWZ3X8tEJr04f07f64Q+mzP4l3X7ZvJYTq15fsMs3ZuTk qeMHtkj/Zs7iPbl/ma1doKtx92sz7wnWN/jfggVDI41ObqHsbYoYQm9uZTq85WhxD92ik9v2S9Qt tcu0iFBtl7NXXJYLVlIJjGrhl7YvPssu9qyjcWkiybEJuarYMuMPZAa2bOZvdj6j+dTa97+3t73/ wfaBF34lYju/7f0py9K6jnu+X303pcwdXVuFmtDLHlDRnx+9tnh/tduHTZo+eVSfkD+Xz/7yRPkt 7BUslDVpw9y1ea0fGz9pVK9qhz98aebGVFtFXzMxn1izZG9Iv+denzmmq33rokW/Z6kVXv+Xtyli z9mxYHV2m0HjJz/du/rR5VNfXX/OeQ221J/emPTBAf/b/zdp4hMdLesWbs+2i4jT41c7jjPO1lDN i1008a1tbj1GTn1lbN/g/fMnz9+bp17ZcwEAAAAAAEDVoV5Q/lSV2gFtS90T59P29gvBrKbBQ0P6 tPDXSFi/Pt/99NW5bJto4r7ekttsyDMPdPDTiNR/2hI/6sN1Rx6MbCYiilvUgEc6RXiI9bYuoRs2 RA26v21do9To1ebTHWeyrCJy/Ntvk5sNm3hfGy9FpH5tn9RDk76LzerYxc9+cd7CzMQsQ90OXds2 8dU0rhMcfFNatavp+KBoNBpFRKPVlLTcdnALXroytyliqNXhJv3MLccKmjd1Mydu32trMqyOaUvp gdWcn1967OfSR0Ifemfm3QFVayXbRjd22/jHiYIe7qf3plZv3zx/3+5ThV3qndid5NG0ZYgl7h2H MzYVEVuRZ++xo2KCtCLmYyJiz9774dTZ+xqMmtm/WXFjksvv6JqfteelB6Sq7k3uHtq1U9cGXhqR MGXX16+n5FpFyjzwfCcLFSGiilenp0b2beIm0qi+T+qoyeu2p3S9PcfJ1HoRuxp81xN33hSgkbC+ fcO/++Jstk1MzkrV//VtakVEfLo+NaJPows1TPp+69mYOwscjtmuwfZ1B927vzTq7sZuIk3qeScd mrhZRGwpjo9LkePanI3jlJM1jAjb99UvlnZjR/S5yUORyEEjk3N/SMmyNnL8XKrUv6oAAAAAAADg UPk20FUp1bGl7Yt1a9Plwv9srwuIqO1VvENbZ9ApIiLWzBNnrcHdw72LD2t8wpsGFv12MtvWzENE 6x3qZxARUXQGrc63pp9eRESjMxV/1p57KiEj/9jbwwZoiyewm83W4OQcq3hnXJzXFNnnturT3xk6 Yn27tq1atm7Xpkl1o2K75jtycAvlblNEFGPtjs01b289Udg0POm33YUNB9VzUy4LoMu9hFBjCqym FWfbTl20kqawtuGyaHdirv+BU8aowV1S9n4am5Rr2nNS26BnmDZzg+MZm7qJ6AKbRPppL5SvFuxb MOuAqHZDSr5dArTl7+ian7VnqTU1hXXsbjpyYMu6hIQjh2N3H8xR24qImrPjlafe3FcgonjfPGHO /wKcLFSEiOjCWtYuicRNtaPrG7bEpxR2THUytb+Izj+iTvGDUPTFparOS/X/y9sUERF9nZZhpWvY dOy8OTfN4ZiF/kfP6+s+cqFkY82WdY1bRMSc6vi4s9qcjVNm6UY3KynR2Zet0P3IWXvI/XXcFRER xaPJwBeaiIiIo+cCAAAAAACAf6UqFEDbM/fv1rUe7nUhW1N0Jr2jxq+ljykaEVHtjk5J2c+qqqoN 6Dl+6l01L960ojV56UvPq3g0GfDa4h6Hdu3ctXvX8mnLl0WPfO3/Ol4+jLXIeqVdORzdQtnbFBER Y51OzdQ5W0/meu7bmRc5IMJdOX35p67qJYSuWklFCW9XK//rA8dqxuXX7FcvMiM4e+OhY+6HC2v3 q+cueRXMqOgvr9Cj+dDpD+W/+9zypb90Gt81QOtg0a6pwtKRvT3z94WT3vnVENWpY9vOj9zW+Yfp s/NFRPFsMfKNOUV2EUVj8jVJasULdYlGI6rN7nzqAhHRGcs9iAqv/4vbdFCDohGNszF1RzVlhlMu 3JPj41c5Ttmlu+z76WgNVZtdFG2ZNkBOngsAAAAAAACqqIu7nhXFQX5VdXpAq9lxf6itmvpUVJHO t04NXXJsQnZxAmzPOhJ73lAjzEdbwWcu0HiGhrlnJSSJt5+fn5+fryl5/dx5PybbSs9rS/t95Qdf HfdsfMudA5+eOmvqrdrd3x8snuxC7Kzmnz6U+jc60jq5Tbe6nZpY92zete237PqdIz3+1hvXXLWS IhqfRm2Czm/f9EtyYIvaHr6RUb5JWzf9mh7cNtJLuYoZFbfIW9uF1uoxuJfv/o+X789Vr+SOrqzC UquUc2DtpoJOz08fN+iuLjeFB2oLzcWVKUbfasHBwcHBQdV8DBWXbT21+2RxTiyFp3YdNQdEVDNe wdRXW2qFLCd2n7pYwx9HzUENg0xOxjRUi6hmPf7HhZKLEvceL1JFxNlxZ7U5u77M0l0s0dkamgLq B0lS7KmC4uP5se/97+kFh847eS4AAAAAAAD4N6oyAbSa++fOwubN/CtOQN0b9b7FI3bh7JXbDx2N +2X5rCWHfLr0buB+RTOYwnt1rxa/eMbiH/YeObJn3dy3vz4T1DhYX3pejUE5tWn5u0u+3XMk4eCv 367fneVdp7qbziM4UDn9wzc7jyclHvxuyceHixxF+SIioogo9txzZ9NyLY5TM6e36V6/c6PCTR+u TanTpZFX+eEtGSfi/7xMQnJxbqcWJB0tdSr+ZFr6YdespIhoA5u18Dy97ai+YYSvVh8cVV8Stp3y jm7qr72GGY317xp8i2xZ/NWxtCv5blxRhZcekNXgE2jKjd+593hq6qm9a+e+/2teQUZSRlHZvc0V lp3985y5X/9x6NDOr959a0NOZK+OITrni3O1i3lFFMne9O68b/44dGjnV3Pe+i4/qm/7IK2TMbXV 2t3RtGDj27O/3BF3aNe6ebM3ZolGRJwdd1ab0+udcbKGim+Lvm3sW957f92u+IT9P34wf0tBRNta Xlf2XAAAAAAAAFBFXGz67PA9hFWlBYeaf+S3nKb9qv1Fxqi4N3l8+li3eZ8smvpFgXuNpr3GTbuv gekK5zDUfWDKi4b5S1e+/mOWNrBRt6defKSBKX9PqXkVr5ueGH3P+x+snDEhXzUGNOj45Pj+kSZR oh4d0u3tD98Zt9ErrFWfxwflz17rZAptYFS78O8/f3Fyzstv3efoAue36R7RuaFmx+56XRp7l8+f 1cI9i6ftueyQR+cp857QiUjKt29P/vbS8ZA7BoTlNL3/H19JN0VERF+jVROPb36t0yzEIKLWalVb 2X6uWYtgfQUzOt/fqnhFPdy/2dMLZs+r4910xF/d0RVVWPoBDew/POadRbPGfWMIatTpvmfGeM2b s3TWhsYv3xla+m+Fs7ILRTTuLQff5b5p4fSPst3DogdMHnpbsFZE63RxrnYxr4S+Rp8nb8/8auG0 Zble9doNnvpEp4AKagjsMmZK4aIFa2a/9LlH3ZvvefqeHxacFhGtk+NOa3N2vRNOv2w+0SOmj1w2 b+Wsicss3nXaP/b841GebnbHz2V65ytdEwAAAAAAAFQdZV9K+M/YtWtXVFSUXn/F+zyrppxfJw9f 0WzGm/fWrCo5Pv4xhXFzRs60PjN3dDM3V5cCQERELBZLbGxsq1atXF0IAAAAAAA3uJMnT3p4eCiK smLFipiYGLnQ/dlut9tsNhHZuHHj0KFDNcVcXOy/ly3v7OGDKVadUfe3GjYDAAAAAAAAwI2KAPoa FcUvnfzGFrdb7mp3Va0hAAAAAAAAAOAGolx4Y57i6NV59I64RsZGIxd+NtLVVcBlTI3/t/gDVxcB AAAAAAAAuFrplxAqStmez+yABgAAAAAAAABcO0VRHG5/FgJoAAAAAAAAAEAlcU0ArdForFarS6YG ANyQrFarVktTfgAAAAAAXEBV1eLOG2X6b4irAmhvb++MjIzy1QAAcA1UVc3IyPD29nZ1IQAAAAAA /BdVuRYcoaGh58+fT0pKMpvNLikAAHDDMJvNSUlJ58+fDw0NdXUtAAAAAADgMjqXzGoymRo2bJiY mBgXF2ez2VxSAwDgxqDVar29vRs0aGA0Gl1dCwAAAAAAuIxrAmgRMRgM9erVc9XsAAAAAAAAAIDr ooJmy65pwQEAAAAAAAAAuDFUuR7QAAAAAAAAAIAbTPkY2mUtOAAAAAAAAAAANwBacAAAAAAAAAAA /mkE0AAAAAAAAACAa1dBD2hacAAAAAAAAAAArh0tOAAAAAAAAAAA/zQCaAAAAAAAAABApSCABgAA AAAAAABcO3pAAwAAAAAAAAAqBT2gAQAAAAAAAADXXwXpsxBAAwAAAAAAAACu2cXmGw67cBBAAwAA AAAAAACu3cUe0OUzaAJoAAAAAAAAAEClIIAGAAAAAAAAAFwH5ftBE0ADAAAAAAAAACoFATQAAAAA AAAA4Bpd3PVcfvuzEEADAAAAAAAAACoJATQAAAAAAAAAoFLoXF0AAAAAAAAAAODfSlGU4uYbiqKU P8sOaAAAAAAAAADAtVMUxWH6LATQAAAAAAAAAIBKQgANAAAAAAAAAKgULgqg1fRvB0Vfpm23fk/N 3njGXNkz25NWPdL+oeVnbWJP37Vi8dqEwsqe0Zn83ZN6dJ+4K/8vLivYO/W2bs/vzC9V+d9RaXet 5h/9Ye0f563X8MmCswd2/5luFRE1N2714lUHcuzXr6r4NYtX7s20W5K2r91yulB1fqndnJ1y+mhc 7N7du3bt2hsbd+R0Srb5uhUCAAAAAAAA3LDUC8qfcuFLCBV9yzFzRjU1iYhqyT23e+Ub74971nvV h4/V0VfmtO6Rdzx8R0NPRayZuz5bvMP/nj71TY7bk1Q1Fyv/Oyrrrs1n/9hra9wr4Bq+UPbCcwf2 nHFr3MBfJ/qAiGaRgYbr/0D0Qc3Cf/9+7/mQdtUclKia00/GH08runjAZinITjmdnZISUDeytn8l 1AMAAAAAAADcMIobQFe1AFp0vvUaN23qXvxDsxaR9t9iJm7cnT6wTnAl7svWeEc9/FSUiEilb7a+ zi5VXvWo+Sf3nvFp1tb9bya1ijG4WZvg61NTGRrPOg1NX+07e1OPMGOZU7bcM8Xps+JeLaxWsJ+7 Xiz5mcmnT6bmF6Udj9cZGtX01FZKUQAAAAAAAMCNrer0gFYMHm46RW/UiYjYs2M/GT+gV4fo6Jtv f/SllXE5dhHJ3z0p5u6Z6z+bOrjvLa3bxzz8wqcHsktaJJjPbZ498p7ubaPb9bhv1Htbky0iIqLm H/1y2uO9OkRHR3fqO2L25hSriD1lzcAODy0/mbDkofsXnDbvG9/j1mn7CpyMoGZsGNTpsdW7V0+4 v/u978XunH5bh6HfphXPaU/64tH2vd85dFmO7WhG29nlD7V/ZFVSyceSv+jf4eGV50oaaZjPfPfq oDs6Rt986wNjl+zOKLkmJ27FhP63t2/dvtfAyWuOlfSNKKn8rO3yquLNTpZLRMxnf3pr+N1d20R3 6jNo6pqj+eYTlXLXouadPJjuFxl8Idm15Z7YsX7lskULFi1b+e3OU7l2ERHLuZ8/XrH9yIHNa5cv WbD44y9+3J9SpIo9c88Xn+/KtiVtXLZsS5I57/CXS0pacDgcRIqOrf1g9f5TcZu+Wr5kwcIPV/18 OLO464dalHJw05pPP1iwYMGiZZ9/vzepqMzvWxS30AiPcwfPlu0+ohamnkouEhGdf/2IsEBPo1aj 0Ro9A8Ii6vvrRKQo+VRqRa07AAAAAAAAgP8yRVGK+28U74Muw6UBtGq12mw2m81mLcw8tf2jhbtM tzzQ2k8j5mPLhg9bnN1x9JxlS14fWGvPG8MmbEgpDjFPr5y6LKfz/82aN/2hkD1vDRm75qxN1Lzd bw4as8rS7bm5S98b2yl/xejBs2LzRczxi/7vla3+9740b9HsZ9qlfPzijO3ZF4JEfZ3HPvl0cE1D 1LTvNkyIMjkZQUTEnLBs6ip712Ejbq3bpFd7t7h1e7NUEbEnb/vqSGBMr/qGUjdU0YyO2LN+enlJ RtfnZs9/+ZGaB+YOe3r5KavYzq199ok3fq92/7R57z5/u2X5q99nlG+sfKmqEJ2T5VKzd8x4fNx3 7ndPWfThzIGhO6cPmf6Hf2XctUjR+eNZ7jX9S1qnmM/9uub7OFud9r3u6tW+juXAhrW/lfxGwJZ9 YHNsUe2be/bu1tQr6devvz+cI74t+t3T0lsb3K1//1uqX2q+4nwQsaXt3X7Kt2XMPffc2kCO/vLL yQIRsSbv2LDtjGeTzr3v7N0tyid550970sp0y1aMgTWMaSfSLZd/CYsy0gpERMTk66ETe97ZQ3v2 HEzMs4vOw8ckIiIFaRll02wAAAAAAAAAV8CFLTjUgp9HdWtb6kD1fu/OuTVII4WHP/vsTJsX5w7p 6qOINI70P9fviVU70m7vLqKKb68pLw2M9hBp2cj/3N1PLv/hTN+7T360PqvN+I+GxwRqRBq/Yo69 663lB0ZENUk7lm5sGHNn9+gATavImjU7JofoRS5sgNVodFpFFK1Wq1FydjseobWIWAu8H35j+v01 tCKS1+tmw9hv9ud06+SRvO2ro0G3T6pzWRJrcThjBUsg/ndOfWnATe4lt/PEqm9P3t3zl0//8Lxr wfRBLT1EWjXyTdwz6JtynyxVVWHsuw6Xq8OeDzeYe7wxeUB7b0WaPfdS4oTViRm26Ot/12LLTcpS fP1Nxb/NKEraF18U2ql763B3RaRad1vSil/3p7QODhJRxRTRpUvzGgaRkGpuuZ+t3Z+Q06CFp0YR URSNRpGLMa+zQUJFxK56t+jYvJanIn5RUdUO7s4stIubagi5qVNkRIPqJkXEXzkZ+11Okb3ML1i0 noEe1hPnC+w19JeO24vySlo/5x7bt0tEROcdUifIXSPWnMyCkmryiuxiogsHAAAAAAAA4EjV7AFd +iWEtvxzOz+eMX/Suz3XTGieezQuNffQCz07aou3bNuLiiyhiVlWEVH04R0jPYo/7x7RuYlxfeyZ vE7xJy0172riWxwqavyatq5euPFIujW66YB7w0aO79l7RbeuHTt26dGtVS03xZ5TvhJLmpMRWnuI 6KtHNw8syR49Gt/RVvfCNwdy29f9Ze3R6r1eqn15EuvmaEZbhvMlMER2DHcvdTtfH0rObXEwydDw qYiSu3Sr16GBaV25T16qyp7teLnykg6csIcNiyh+aaHiFT16drSImI9d97sWe1GOWeehL5m+4HyW 3bthtZJ3HCpuQaGe1uNpBfYgEUXjHxZQ8mG9f+1quviUHJt4ll8Yp4OEGkW0HkEBxScUrV6riIgq ovcPb6hPOXtkf2pKStKZU2cL1bqO1ttNa84ttIu3853/phoNwkNMamH66eMnMmxOLwMAAAAAAADw 16rOSwibBJ/9/r7Vv54xN/dSVW3wg7MXPlbvYtCpaN19DBJbZgBFUew2VZWywbpGRLXbRePd6pmP f+y3e8umrdu2zB0x953OUz5+rafD6NHJCCIiisFNf7F3iUeTO6Jl0voDx6PWHg25Y0qtMvubHc54 +2WX2C2FFiftHBRFo9VpFEWjlDnqoHVKqarsTpbruFUVja6ibbvX6a5FpMJ3Dyoi5Z+RiCiKiN3R b0X+ahCtTlt2QjX/xNa1G4/pakaE141o0zji0PqfHbxkUlGUcnetMXoYJetSY2hrXurZM1KQlpJ1 qVWH0cNYdZqlAwAAAAAAAFWMw73PxapOrqb1CvZSCtLz7RrvuvU90+MSFb/AwMDAwAC3xE9fmvZl ok1ERLUc/SU+r/gD+Qlb4wqDm1b3CIisrT+zIy6z5DV5GQd2JhnqhPsrKZvnz1x62Ltlr4GjX170 xaJ7tFs//6PkNX+X0zsZoXw6r3g2632TbfuHSz5LqNmnR9kk1uZ8RmuhxS4iouYd23PuYjSqmuN/ OVrSdTn/6Ja4ohrNa3iFNAuxHt5ypOQuC45tO1xQUUjrbLn0QY1D5NRvR/OLP5y7Y/Jd/V7ZU3D9 71pEY/Q0WAtKcnWNW4CPJufMhff2qQUpZ3K1vv5uGhFR7emn0kru3pJxMsXqEeTp8FcgFQ3iUOHZ 2HhLxO13xnRoERkW5KmxWB2tmd2cb9N7Xh4mK0a/ALdSP5sCQkJDQwKMpQ65BfgZK4zYAQAAAAAA gP+si+lzVWvBUYai1WnVvPQ8m7g3eejukP4znn5NnukbKfuWTf34RLcFNQ0iIopkrJ00pe7zDzWx xS5/fWVm1LieYXqvoP49vYa+OnG+ZkinwJSf5s7c7d93SXNPjUU5+vXctZlu4x9sbkzauWprul/H Wu6XwkdFRLFlnzyVnO0e1NLhCCLlumcoXs37NC989oeT9Z/uFlp28TRGRzPqPWtWVxK++OTn1o/U z/l18aw9hZrqF0vI+Hry1NpjH2hki/309c9z2rx0W6gpsPvD0XOnPv9i6PP9W+gPf/7mmnSpsJG0 k+XSmNoP7PLW2JemNnih/03Goytf/javxaz6JuX89b5rEa1XdV91V3phcW9lY0hUhOGbX37apbQK c8878fu2c24N7wwueXyFf/682a9js2pq0v5fDhZW7xjuoxERUdTCrKzcIr37hSGdDlLkeBF0bh66 opQTp897BGkyE3ZtPWa2BGflWWv4lL7Ilpuapwus5n55jK2YqoUFnf8zxcnIYgwOu9AKBAAAAAAA AEB5VbMHdFnG6vX9zOtXbTvf7raGwxbONb785rwxq9N11Vv2nTp3VHN3RfJFFM+Ozz3m+c0rI2dl eoZ3enr+xHtCdSKercYumekxfc6M4YvzPGu3efDtxUOi3EWkw/Mznpj6xvzRj+fa3YKjYl6Y/UyU u6RemE8X3LZ701ULBg3JWrpyrOMRHPWN8G5+R5R2W/adXcsnsYqPwxmVtv834c4X3pzwyJc+4Z0G PDsud8Kykg8Yag8Y/8D5D18Z8Xa2T6Pu4xY/3ytYK1K99+sLC2a8snTikAVeDW8d/Mrg1S8nVLhw jpdL/DtPXjzl7enzJgx62+wXeeuYd55t660o2ut91yJiCKzjk38yzdLUyygihhrt77xNv2XHL+t2 Wwy+NZre3jc6WC9iEVEMYR1aGOK3rvut0OBfu12fTo28NSLiEVo3KO6Pr74uvOve5heHdDyIM/qQ dl0ab/zlp9WxWq+QyFbdbjVt+fnXnw7UuDPy0jVq0fmzRf5N/csNo/WsGVHXduR4WpFcehVhydoG 1I0I9eT1gwAAAAAAAMA1USpoz1HV5O+e1GeM+dV1M9q4//XFlcYcP/e+R7c/8sWH99f4D+WSf3HX av6R9WuON73nttpGB2eLWc79vPw7W/dHeoRWuKG70qj5R9Z/dbJZvx5hjmu0F2WfT04+n5lbYLGL Ru/m6RsQFFzNh+7PAAAAAAAAQGknT5708PBQFGXFihUxMTFyYQe03W632+2qqm7cuHHo0KEajUaj 0VShHdBVnz376J4/tixekdpkTOfq/5n0+UruWnGv3SJ07/7T+WHh7lW0W4U998ThwrrtajhNyDVG 76Aw76Cwf7IoAAAAAAAA4N+uOH0u/YfS2N55Fcyn1kyb+FH6LWPGxwT/dxbuyu7aUCP6Jm1cXJr1 H6zsalhS9h/1adMikN+4AAAAAAAAANeZoigO02f5d7XgAAAAAAAAAAC4VpkWHBfTZ7vdbrPZaMEB AAAAAAAAALg+Lm5xdrjX+b/TSQIAAAAAAAAA8I8igAYAAAAAAAAAVApacAAAAAAAAAAArp2zNxAK ATQAAAAAAAAA4O9w2P25GC04AAAAAAAAAACVwmU7oM1mc2JiYnZ2ts1mc1UN+I/TarVeXl6hoaEm k8nVtQAAAAAAAAA3INcE0Gaz+fDhw/7+/mFhYTodbUDgGlarNS8vLz4+vmHDhgaDwdXlAAAAAAAA AP8+iqIU94B22AnaNeFvYmKiv7+/v7+/TqeroEE1UKlUVTWZTIqiJCYm1qtXz9XlAAAAAAAAAP9K FfSAdk0AnZWVFR4ebjAYtFotATRcRVVVjUbj4+OTkJDg6loAAAAAAACAfyVVVYszXocxtGteQmi3 241GI+kzXEtRFK1WazQaaUQOAAAAAAAAVAbXBNBSqjMI4EJ8DwEAAAAAAIDK47IAGgAAAAAAAABw YyOABgAAAAAAAABcB+XbQBNAAwAAAAAAAAAqxY0SQNuzDn77xc+ni1xdBwAAAAAAAACgxI0SQNuy 475d/dMpc9kd3gAAAAAAAACAyqSqanHzDUVRypy6UQJoAAAAAAAAAIArKIpSPnoupvuHS6lI7m+T R34ZPbzdoc/W7k7S1Gxz3/B7PH+a//GmI+mG2l0HPTfklmpaEbHnxq9ftOSbP46l2/3CO9w9+LGY +sazq58d83mSyKzBT+yfNndYpPXI90s/WLMzIa1A41WrVe8nh93V0NPB/VtSf185/5OfDp7Ndw9t 1qP/0PtaBejE8RQejpcPAAAAAAAAAP7LLkbPDjPoKrYDuvD4qs9T2414+bXRHS2/LnlhwjpT33Ez JDd9LgAAIABJREFUXx3eIvPnZauPFomIJXHttCmr81o+OuHV6WP6Vj/8wZTZv6RrQu9+beY9wfoG /1uwYGiksejPj15bvL/a7cMmTZ88qk/In8tnf3nCUm4qtSBu6cSZ31vaDpr48sTHowvXv/biR/GF zqaw/+NLAQAAAAAAAAD/clVpB7SIKG5RAx7pFOEh1tu6hG7YEDXo/rZ1jVKjV5tPd5zJsorI8W+/ TW42bOJ9bbwUkfq1fVIPTfouNqtjF0+NRhHRaDWKoqruTe4e2rVT1wZeGpEwZdfXr6fkWkX0l0+V H/f1ltxmQ555oIOfRqT+05b4UR+uO/JgZORpJ1P4sQkaAAAAAAAAAC6jqmrx3ufiNtBlVLEAWusd 6mcQEVF0Bq3Ot6afXkREozPpFBERe+6phIz8Y28PG6AtToPtZrM1ODnHKp6XxlBMYR27m44c2LIu IeHI4djdB3PUtiKi5ux45ak39xWIKN43T5jzv4ATZ63B3cO9i/eAa3zCmwYW/XYy21LD2RR+ZRJs AAAAAAAAAIDj6LlYFQugRURx+oOIqKqqDeg5fupdNS8WrmhNXnop1SLDnvn7wknv/GqI6tSxbedH buv8w/TZ+SKieLYY+cacIruIojH5miS1zPCKRkRUu/MpAAAAAAAAAADlVLADuor1gP4LGs/QMPes hCTx9vPz8/PzNSWvnzvvx2Rb6WvUnANrNxV0en76uEF3dbkpPFBbaC6+b8XoWy04ODg4OKiaj0HR +dapoUuOTcguPmnPOhJ73lAjzEd/BVMAAAAAAAAAAP7avyuAFlN4r+7V4hfPWPzD3iNH9qyb+/bX Z4IaB+tFFBHFnnvubFqu1eATaMqN37n3eGrqqb1r577/a15BRlJGUdnXCLo36n2LR+zC2Su3Hzoa 98vyWUsO+XTp3cDd+RQAAAAAAAAAgKtR9VpwVMxQ94EpLxrmL135+o9Z2sBG3Z568ZEGboqINjCq Xfj3n784Oefltwb2Hx7zzqJZ474xBDXqdN8zY7zmzVk6a0Pjl+8MLX23inuTx6ePdZv3yaKpXxS4 12jaa9y0+xqYKpgCAAAAAAAAAHA1lAr6Q1eeXbt2RUVF6fXsK4brWSyW2NjYVq1auboQAAAAAAAA 4F/g5MmTHh4eiqKsWLEiJiZGLvSAttvtdrtdVdWNGzcOHTpUU8zV1QIAAAAAAAAAbkz/thYcAAAA AAAAAICqpHgHtEPsgAYAAAAAAAAAVAoCaAAAAAAAAABApaAFBwAAAAAAAADg2qmq6uyUa3ZAazQa q9XqkqmBMqxWq1ardXUVAAAAAAAAwL+bw07Qrgmgvb29MzIyKsjFgX+GqqoZGRne3t6uLgQAAAAA AAD41ysf+bomgA4NDT1//nxSUpLZbHZJAYCImM3mpKSk8+fPh4aGuroWAAAAAAAA4N9KURSH25/F VT2gTSZTw4YNExMT4+LibDabS2oAtFqtt7d3gwYNjEajq2sBAAAAAAAAbkAuewmhwWCoV6+eq2YH AAAAAAAAAFQ2lwXQAAAAAAAAAIAbQAVv+3NND2gAAAAAAAAAwA2PABoAAAAAAAAAUCkIoAEAAAAA AAAAlYIAGgAAAAAAAABw7RRFURTF4SkCaAAAAAAAAADAdVA+hiaABgAAAAAAAABUCp2rCwAAAAAA AAAA/IupqursFDugAQAAAAAAAACVggAaAAAAAAAAAFApCKABAAAAAAAAAJWCABoAAAAAAAAAUCkI oAEAAAAAAAAAlYIAGgAAAAAAAABw7RRFURTF4SkCaAAAAAAAAABApSCABgAAAAAAAABUCp2rCwAA AAAAAAAA/Iupqnrxn2WwAxoAAAAAAAAAUCkIoAEAAAAAAAAAlYIAGgAAAAAAAABwjRRFKfOH0gig AQAAAAAAAACVggAaAAAAAAAAAFApCKABAAAAAAAAAJVC55pp1fRvB9/2YmypI1rvsNZ3jXxhWPdQ w1WNZE9aNaDfF71XffxQDe3Vnr06dnP2+eSU8xm5hRabqtW7efgFBgcHehvI8AEAAAAAAADAERcF 0CIiir7lmDmjmppERLXkntu98o33xz3rverDx+ror2YY98g7Hr6joaeD/tZ/ffaKqeb0k/HH04ou HrBZCrJTTmenpATUjaztb/i74wMAAAAAAADAjceFAbTofOs1btrUvfiHZi0i7b/FTNy4O31gneCr 2FSs8Y56+Kmoazt7pWy5Z4rTZ8W9WlitYD93vVjyM5NPn0zNL0o7Hq8zNKrp+bc3WAMAAAAAAADA Dabq9I9QDB5uOkVv1ImI2LNjPxk/oFeH6Oibb3/0pZVxOXaxp6578uYuL/yWW3y5Pf37Ee07P/dL ZsqagR0eWn7WJmr+0S+nPd6rQ3R0dKe+I2ZvTrGK2C+eFTGf2zx75D3d20a363HfqPe2JltERCR7 45OdBny67fMpg/reEt2m20OTvjxedHlhamHqqeQiEdH5148IC/Q0ajUardEzICyivr9ORIqST6UW qv/cQgEAAAAAAADAv4NLA2jVarXZbDabzVqYeWr7Rwt3mW55oLWfRszHlg0ftji74+g5y5a8PrDW njeGTdiQIgGt+zQq+n1DfL6IiJq99+v9pg79WnhfGMwcv+j/Xtnqf+9L8xbNfqZdyscvztiefSkW VvN2vzlozCpLt+fmLn1vbKf8FaMHz4rNLz5X9OfSmdvDnnjzk09f62Pf8Nprm9NLx8lqUUZagYiI mHw9dGLPO3toz56DiXl20Xn4mEREpCAto4gEGgAAAAAAAAAu58IWHGrBz6O6tS11oHq/d+fcGqSR wsOffXamzYtzh3T1UUQaR/qf6/fEqh1pt9/Rtk+DvHnfHS1sGWXM3rt2n7Hjm808Ja/k05a0Y+nG hjF3do8O0LSKrFmzY3KIXqSw5GzO7o/WZ7UZ/9HwmECNSONXzLF3vbX8wIioNiJiV2s+9vyj7YM1 Un/gwCafLzqRaRX/i32o7UV5JVuic4/t2yUiovMOqRPkrhFrTmZxMi1FeUV2MdGFAwAAAAAAAABK qSIvIbTln9v58Yz5k97tuWZC89yjcam5h17o2VFb/G4/e1GRJTQxy6qpd3OfiNc/+OmEuVmN2K/3 mTq92cRDLgbQbk0H3Bs2cnzP3iu6de3YsUuPbq1quSn2nOKTlrT4k5aadzXxLd7xrfFr2rp64cYj 6dY23iL6ak0ji09o9G56RUQq2s5sqtEgPMSkFqafPn4iw1Y5SwMAAAAAAAAAN4Cq8xLCJsFnv79v 9a9nzM29VFUb/ODshY/VM1y4VNG6+xhEU+3m3vXf/HTTyYFRX+9x6/pOI3cR+4VLNN6tnvn4x367 t2zaum3L3BFz3+k85ePXel5sMVI2U9aIqPaSD+tNBsVplRqjh1GyCi/+bM1LPXtGCtJSsiwXjxk9 jFWnmTYAAAAAAAAAVA1VJzfVegV7KQXp+XaNd936nulxiYpfYGBgYGCAW+KnL037MtEmItrgDr3r pPz43Y9r9rp369vArdTHbSmb589ceti7Za+Bo19e9MWie7RbP/8j40I8rQ+IrK0/syMus/iAPePA ziRDnXD/K8jfFaNfQOmJTAEhoaEhAcZSh9wC/IzOE2wAAAAAAAAA+G9y5Q7oyylanVbNS8+ziXuT h+4O6T/j6dfkmb6Rsm/Z1I9PdFtQ0yAiog3ucEfYG2+/k1jjgaURpTNg0RiVo1/PXZvpNv7B5sak nau2pvt1rOV+MV/3atm/p9fQVyfO1wzpFJjy09yZu/37LmnuKZL914WZqoUFnf8zpcjJeWNwWDUT +TMAAAAAAAAAlFF1AmgxVq/vZ16/atv5drc1HLZwrvHlN+eNWZ2uq96y79S5o5q7F0e8upBbetV7 e3ZhTM9L/TlERETx6fD8jCemvjF/9OO5drfgqJgXZj8T5S6pF057thq7ZKbH9Dkzhi/O86zd5sG3 Fw+Jcr/CyrSeNSPq2o4cTyuSS68iLCk6oG5EqCevHwQAAAAAAACAchRVreiNe7jEXpR9Pjn5fGZu gcUuGr2bp29AUHA1H7o/AwAAAAAAAPjvOHnypIeHh6IoK1asiImJUZSS9hCqqtpsNlVVN27cOHTo UI1Go9FoqtAO6KpOY/QOCvMOCnN1HQAAAAAAAADw78D2XQAAAAAAAABApSCABgAAAAAAAABUCgJo AAAAAAAAAEClIIAGAAAAAAAAAFQKAmgAAAAAAAAAQKUggAYAAAAAAAAAVAoCaAAAAAAAAABApSCA BgAAAAAAAABUCp2rJjabzYmJidnZ2TabzVU1AMA/QKvVenl5hYaGmkwmV9cCAAAAAADwj3JNAG02 mw8fPuzv7x8WFqbTuSwEB4B/gNVqzcvLi4+Pb9iwocFgcHU5AAAAAAAA/xzXhL+JiYn+/v7+/v46 nU5RFJfUAAD/DFVVTSaToiiJiYn16tVzdTkAAAAAAADXk6qqxRmvqqrlz7omgM7KygoPDzcYDFqt lgAawI1NVVWNRuPj45OQkODqWgAAAAAAAP5RrnkJod1uNxqNpM8A/gsURdFqtUajkZb3AAAAAADg v8Zl/ZcVRSF9BvAfwb/xAAAAAADADaw493CYfrhmBzQAAAAAAAAA4IZHAA0AAAAAAAAAqBQua8EB AAAAAAAAALgBqKrq7NS/JoC2nftq/IyMITMfq2+4cCRt16oPVm3Zn5Bq86vf/t4nHu1R30MpjJsz 8k31/94b1cRUboSMvV8sWPbd3kSzb/2Wt/UffGcTb42IWI5/NGrc12kXL1OajfvgxVbuTq8XsWXG frX0s427jqQb6nR4cOTgHrXdKmjtas/4feH02RszW08uU1TR4fefeq1w1NzRzdwc34uIWnRu+6fz Pt10ONXsGdri9keH9Gvhp/3rGsqvldPjjsapaA0d1+l0Da+Kk8GvaMEvLmbEcafFO6MWndm0ZO7K bUezPerdfO/wJ3qEmco9zwvjP1Nn96TBs/68/KSxzcQFY6PcnHxhnD9ER/U3c3O+Ps6+kFc6jpqz zWnxTmcFAAAAAAAA/oZ/RwBtyz3247I1x4s6XzpkPbvu9de/KOg8+OnH6tgOr124cHqh9zvPtDU6 G8J8YtWUV9f73j100nCPxB+XLpkxy/ed8V0DtGLJSMzzbvf4kM5BxamgzjfcWOH1p9e8/OoaY+8n n+vvceKb9xfO+DTs7cENnKadauae1Zvybxk77aEGTmtzci8+loQV02b9VO3uIZOi/VI2LVkw8x3f tyfdGlRxDQ7Wyulxx+M4fQzO6tQ4WcOr4nzwq1vwq6Xm7J0/6f39jQc8/WKN1B8XLpw813fW6Nbe Tn6loLg1Hjh+XLbtws/mxA0LvrC1rGFw+oUpcvYQr5LTL+SVc148AAAAAAAAUDmqfgBtTlj23Phv zqoi4n/pqDVp+8YTQfe8/mRMbb1I5Aj98ZGvfvVHRusOTkbJO/j5utRGgyfd395fI43qjM449Nza LUm33B2q5JxLt1fr1a51Kz/lSq63HFq9LiVqxOyHb/ZRpGno8LNv/ZSQZmkQqncysd1SYNH6RkSE eOmcbZN2di+3pG/enhk5aPoDt/hrpEnNQQe2T/tpf2b37gFFzmpwvFbO1lAKHI8TcJV1dvd1vIZX xeng7le54FdJzd639jdr6zFDe7fyVKSePmHkq2t+T2/VPcBJd3SdX0SLVhd+sKX88PWJGvdN6RSo zdvj+AtT7ZSTh3iV3dedfiGv5m+ws+KvrhQAAAAAAADgilWtANqSsuPTeZ9sOphkC4y8ud+Qx7uF mRR9zT7j3upmzf591pTvLl1pL7L6R7ZsHlwcQyoGv2BP5VSeWS0ZZtvCFau2/JllrHXTHYOH3tnY W80+fc7s26q2V3Hspw9qXM/4ZezpgrtCDZlnsvWBgWWaLticXV8teVdcYdiAxsU7ZBXvVkNfKkn0 1Lwj3y/9YM3OhLQCjVetVr2fHHZXQ7fz373wvw9Pibw/dODuFxeMaWpP2LBowZqdJ3K96rXv292i VngvquIZ3rZdeEkNOg9/d80ps00V8xlnNTheK2fHnY1T6HgNNU7X3OpwDZ09ULHnxq9ftOSbP46l 2/3CO9w9+LGY+h6Ks8HNGc4X3NFiOvkCaEQcz2s+G3tKrfN4eHGzD7d6bcM17+07W9Q9wK2C8UsK yPrjo8+zur0QU0MntlQnX5hAJw+xgvod1Wl3+gX2EmfjOFx8R8Vf3ZMq95ABAAAAAAAAp6pQAK3m xS6a+NaeiEdGTm1sOPHtvPmT5/u/O+omD6NfSKif6nnMWDr6MtR/cPK0Cz/Ysw5s2Jzi1aqBv1Yy xJ6zY8Hqtg8PGv+g/c/1Sz6d+qr+7el3mLzc1NzkTIuIXkTs+SmpBTZzWr5dlYyzOZb8r18Z+Xp8 ui4osn2/Qf271HbTOLvekn4qx+CVs+W98et3HM/1rNvursGP3VbfQ5GiPz96bfH+Jo8Me6SRd3bc t0s+nf1li1kD6t728izz82O395o1rWuAkvrT9EkfJEY99L+BDXUnvvtg4fZs080V3Isx5IFnnxYR Ua15aSd3frU5PeTWpn5aMTurQRSHa+XsuNN7EYdr2DvESZ2q2eEaKo4faNOMtdOmrPW+88kJTwbk H96w9IMpsz3eGXeLv5PBLacdF2lL/ekNR4vptHh7osN59ZnJecYAv5KFUfQ+ge5Fp9ILVVuu0/Ev LN/J9Z8erPvA4DoGEXH6hTGGO36ITuu3OKyzo7PxbYWbHI7j7G+T8v/s3Xd8VfX9x/HPOXdm3exJ EkhCIEAIK0yRoSKKC0eV4rYqrmr709pWbavWaq21jlatojhRnCgCIoKCyB6yRwiB7L3X3ef3R0II 5N6QpAkBfT0fffQRzv3e7/dzzrnXP9755nM8FO9lsLc71cm92wAAAAAAAPg5O30CaK1mxxc/OMY9 cNclI/wUGXDL3cV135RUu8Sv/RLd9Ye/nfev19a4zvrtVf1N4hARCZx6z12XDPIRGZQUWHrvn5ev KZh+Vdr5ae5X3v14a/Qvhhjzv3v9vYMicW63uGryq5x2h+/o638/26d82+dvvvJond/zvxkT6Hm8 29FodzbseefbyTfc8odr3ZnL3nzj8ZctL9w/PlDzHXL5nKmTpg4MUEXila1f/qOkziliUFVVUUTV 6VR30bole3zPffTeywf7iAxJtBTte2R1e+fSzLb/v3f9+btakT6XPDYj1iBavZcagjqXDGrezsXs 5RpeHWfwWKerzOM1HC2ebmjD4a++Kh56xyO/GBOgiCT1DSzd9+evd1ZPnHK0e8fxk2u1nosc09je xfRQ/GWNHtedMMzuVIx+xqPBvGr0NyoOq9NRcpKbpVVv+2iFa/JDo4KatmZ7+cB4u4muQi/z27xc n0me53eWbPA4T/vfphOK9zz4pHcKAAAAAAAAaKIoiohoWpsmAqdTAO0oO1jgjr66n29ToOc35IY/ DjnJW1xVuz594V+f7FGHXPnwvVcNC9aJOETE0G9kvE/TCHPf9CTjqqwypzpi4p33Hnnmxad/vURE iZ4wY1TAsipfk6oPvPhvb8ww+fvoFRFJSfDJv/vZzzaVp08L8zhep+pUkegr/u/2C+MMIoP7mQ7f /dQXmyvGTguLn3iu+eDu75ccOnRw/85te2q1sSdUay/NLDMkXNu3uTRT7MgE0/ftnUszY9LsJ5+d Vrh/5dvznno+9l9/mGL0WkPnEmhv53K2l2socQbPdUZ5vIZpiR5uqLt8xaHKhqzn7rhe1xRjuu12 Z2RxrVOCPU6ueSkyLbKdi+mheHtducd13XqjXrMf7d0i4rbX2TS9Ue9s92aJuErWfbYzaNoz/Y7+ nkAN9fwB83ITx3mZ312X4/n6qPEe53d5mafdb9OJxXsc3P6dAgAAAAAAADrk9AmgRXO5RdF1OEN1 la998Q8vbPCbevezN02K8/G2K1NVFVVUEdGFjL7xqXdmVZfVGUJCtB3/uHNVVJSvIjqTX0DLYMUv bmCYsry03iVhBk/jVYMlyMfgkxja3KrYHJkQohwsrXe59Vvn/vn59ca0SRPHTr72/MnfPPFiw4ml KOpxRSrS8k+P56JZiw9lW8P79w0MjIwLjIyLNezf8Ndv99VNSfdSg3QugFa8nYv3a+jlmnu5hgme bqimabrQCx96fGZsy0dP0ZkDDF4m91akO8rrxfRcvLd11fooP3tRlV0TsyIizroKqykszKxIu/O7 SjatyIucPCai1fP7PH7AxFqc6ekmjgvyMr/36yMeP8Bub/N4/za1Ld7j4HYqAQAAAAAAADxquwn6 9OnnaghNipCinTmNTSU27Hzp1/e9ts/mZbRWs+X1V7dE/PLJp+6YfGL67DiyLaex6UdrzpZMe0RK hNFVunbei/N31BoDw0N91YaD3++XAePiTe7Kdc/97tFPjtibZ20syqpUw+IC9V7Gi6nPsD6Sv6+o 6Q1aQ15GuRIaa9HV7l60qnHSH574/S0zp4zoH6az2ttsNzeGJ4c7D2/Jbi7Nlrf9sE1r51zcVZte +cs/vsxxNNfmslqdil6vequh079LaG8eT9fQW51erqHZ0w09YOgT71t9qEgswcHBwcFB5uKlL/93 RbHL6w31UqTZ28X0UrzZ38u6xpi0eCV7U1ZD8zw/HnHHjehj8nqzRETEVbJ5VUHExPTwY/mztw+Y l5to8DK/6q1OL/N7q7Odb1Pb4j0O9nqnAAAAAAAAgBNomuax/4acTjuglaDhl45565mXXul32yWD jDnLXv2+cdBDcUbPg7W6/St2OuIvDSvfvaWi+Zjq329oSoCIIjWr/vPfmJsvSHJnLH7j64a0uydE 6HTOCGX/Cy++ZLjposH6g4vmbrCc/8TwAEV1JQ/1f2nus3MDfnV+kqF0+6J5G3ynPZYeqOjsHseL hIyeOXL+v557NfSmaX2de754bbN56l/Sg1QlMMxcl7Fp++HQJF3++o9fXV/fOKCo0jbE59gF1oWP uyh1wSvPvRhx6yUp+sPL31pZLfr2ziVs5KS49z585Z2Yayf1NVbsWjJvs3Hcg4P9FVU81tDpzryq 53NRpNDjNVTrtnquM8TzNdSZPd1QS/8Z54b//o2/vyHXT+2nHVj03y/zxz4aadDqtnuePNxzkQaT 54sp4uUDYA71uK4ohuEzJ+ifnPvO6vsujile9vI39tG/Sw9WdW7v84tWe3BLoe+AlNBW3x6dxeMH Rufj+Sbq/b3Mb/Z8fbzO7+t5Hu/fJg/Fex7s5U519lMGAAAAAACAnzXdo48+eupXLSwsjIyM1Ol0 rQ8q5piRoyNLf/jio48XrT6ojJh93y1nRbU8Hc6W/e3iXaHnXDg8RCcirtINC7/albNv07pj1mbH nHdu3/rNyzOGzbnI8c38+QvX5JhHXvu7u8+JMSqiDxk0NLR4zRefLvpuf0Ofc2699+qhFp2I6pcw Lj2k8IfFn338xbe7qyPPu/P+WWmBOvE2XhRzzLDBvjlrl3z26Vdby0Km3P7A9SOC9YohLDmmfuvn 8xd8tnJ7Wfi022YGHlj+xRbT+KkD1EMrlucMmHFugo/q22/0sID8HxZ/9vk3O2viZ94ypnx7zfAL RytbPZ9LclT/EX2dB9ctX/TpopU7SgIn3HTfTeMjDYq3Glqu5PHXSrwe9zKPs3STp2vo9Zonhyd6 vIaeb6g+ePD4FHX/ykWfLVy6Md9y9q/uv25EsN7r5El+Ph6L9HIxx4dWeSxeEZ3HdRVRjJGpQ/xy V3/2wYLlByT1qntvmxxtVMTb/JEGEeuBT+f/YLrwl+fGm49ddG8fMEuSx5vodX6zlzq9ze9tHn8v 3yZPxXfmTvEEwq5zu93FxcUxMTG9XQgAAAAAAMD/pLq62mg0Koqye/fu/v37y9GHEIqI2+0WkcOH D6enpytNvG2N7lFbt25NS0szGNhOCeDnwuFw7Ny5c9SoUb1dCAAAAAAAwP8kOzvbz89PUZQFCxZM nz5djgbQmqY5nU4RWbly5Zw5c9QmvVwsAAAAAAAAAOBM1rTX2eNLBNAAAAAAAAAAgB5BAA0AAAAA AAAA6BH63i4AAAAAAAAAAHAGa+dBg+yABgAAAAAAAAB0g7adoHsngFZVtel5iADwM+F0OnU6XW9X AQAAAAAA0FM87oPunQDaYrFUVla2szEbAH5KNE2rrKy0WCy9XQgAAAAAAED3UxSl7d7nJr0TQPfp 06esrKyoqMhut/dKAQBwytjt9qKiorKysj59+vR2LQAAAAAAAKdU7zyE0Gw2p6Sk5OXl7d271+Vy 9UoNAHBq6HQ6i8UycOBAk8nU27UAAAAAAACcUr0TQIuI0WhMTEzsrdUBAAAAAAAAAN2inWbLvdOC AwAAAAAAAADwk0cADQAAAAAAAADoEQTQAAAAAAAAAIAeQQANAAAAAAAAAOgRBNAAAAAAAAAAgB6h 7+0CAAAAAAAAAABnME3TvL3EDmgAAAAAAAAAQNcpiqIoiseXCKABAAAAAAAAAF3UEj17zKAJoAEA AAAAAAAAPYIAGgAAAAAAAADQRS0NoD12guYhhAAAAAAAAACAruMhhAAAAAAAAACAHtHyEMK2STQB NAAAAAAAAACgRxBAAwAAAAAAAAB6BAE0AAAAAAAAAKAbNDXiaI0AGgAAAAAAAADQIwigAQAAAAAA AAA9ggAaAAAAAAAAANAjCKABAAAAAAAAAF3U0ve5bQNoIYAGAAAAAAAAAPwvFEXxmD6LiP4UlwIA AAAAAAAA+MnQNO2EH1pjBzQAAAAAAAAAoEcQQAMAAAAAAAAAegQtOAAAAAAAAAAAXeetAbQQQAMA AAAAAAAA/hceuz83oQUHAAAAAAAAAKBHEEADAAAAAAAAAHoELTgAAAAAAAAAAF2kKEpTD2iPnaDZ AQ0AAAAAAAAA6BHsgAYAAAAAAAAAdB0PIQQAAAAAAAAAdL+W9NljDE0ADQAAAAAAAADoEQRtss/S AAAgAElEQVTQAAAAAAAAAIAeQQ9oAAAAAAAAAEDX0QMaAAAAAAAAAND9FEU54YfWCKABAAAAAAAA AF2nKIrH9FkIoAEAAAAAAAAAPYQe0AAAAAAAAACArqMHNAAAAAAAAADgVCOABgAAAAAAAAB0kaZp TT2gPe6DJoAGAAAAAAAAAPQIekADAAAAAAAAALqunR7QBNAAAAAAAAAAgK5TFMXbS7TgAAAAAAAA AAD0CAJoAAAAAAAAAECPoAUHAAAAAAAAAKDr2ukBzQ5oAAAAAAAAAEAXaZqmKIqiKB5jaAJoAAAA AAAAAECPIIAGAAAAAAAAAPQIAmgAAAAAAAAAQBcpinLCD60RQAMAAAAAAAAAegQBNAAAAAAAAACg G7TdBN1rAXTdD78em54+7t619b1VQTep+fb29PT0GxaVunu7ko7rpZobNj14dnr6ZS9n2k/Jcu7a fYvf/nBjqbNHV3HkfzPvtdcWbK5w9egynjgLV7392mvz15c5RURsud+99+632Y0eHjUKAAAAAAAA 9BJ2QOOnyV2bsXpDeZ+xw8L03Tmts3jNu6+99t66Ho61u8DUJ31k4JHV63OtRNAAAAAAAAA4pTRN 0zSt6YcTXiKAxiljHvrA/I8+fnl2vKHn17LmbdxQ4JeWHm/20Pm8O+kjJ1z5i6tnDA3U9ew6J6cG JI9JVjLX/Hj6heMAAAAAAAD46WoJndumz0IAjVNI9YmIT0zoE2Ts4UxYxF17aGuWPXxIf0uPf8AV vV9gcJDF3Ov5s4gYwgcN8K/f9yOboAEAAAAAAHDKtO373Fq3tifoflpj9rfvzP1o9a6sI/mVdp1v aFzqpMtvvO2asRF6EXEVfHzzpU/vTbjn0w9u6ttyJu6SL267+K87Im+Y/+m9A40iImIv2vDh6x+s 3LZ3f06l5heRPHraVTfecunQwOZ00rrrqUtv/jTqkcX/Tv72qcf+u+Jwv4eWvHVFhIfsUmvI+ubN uZ+s/nF3VpndN2bk+dfdc0Nwm1HtL2fb++zlN3wQ9ODC55NW/eelBd/uLLb6x6Skpp9/3R2zxkUY OzyP2PY+M/OGD4Pu//zVUdteeW7e0i159Ypf1KBJV9917+yx4S3Xoztq7uha4qrc+fnrby/ZuGvf kSqfPgMHD5/8i1uvmxTXtA25YctDF96xPOiWBR/f1d/YsXVF3PWZK959Y/7SzQcLquwGS1RS+kU3 3nHjuYm+7UTLroo9O0qVqCkJ/q0HabbSjB+3H8gtKausd5sDw8KjEoaOSo31b46OnaXrPly423zW rAuCj2zavPtwcZ3TGBAWEZOUlp4a66cTkcbML979tlhERHYvnLdbYqbfdHFfpWDl/MWHzCOu+sXo EF2HFhJn6boFC3ebJ8y6JLpw8/ofMwtq7IrRPzx+SPq4obGtzstZlbV9297skoqqGqtLNfhaIuJT ho1KjfXzeuq6kIEpgTu2/JhZ2ze13ezdba8pKy4pq6yzOlyazuDjFxwWGRlmMfILKQAAAAAAAHRe UwZ95u2AduZ9et8vfz932dZS/0GTZlw0/axkU96mhc/dffuLOxs0EdFFTbp8qMjhL1fkOlre5Cpa 9ckOt/S7/JLEppDTlvX+b66+54XPN5YHDp564fnjk/RZq+Y/cfNVv19SeFyrAnv2R/93279WZFl9 o6ICPO1n1Rr2vHr7rIfe/GZbrpo4ZtKEJHX/5/+45fa5GceN6uByVWufun7OC0tz/YecPXFERP3+ DYtevGfWHxcXODs5j1gPvnXnjY9/25h83tVXzxhlKdrz1Yt33/36AVsP1HyStcRVsuLR2bc89eHq THf8+PPPSQ0o3LDkv/fPum9BtpenDp58XWvme7++/qHXvzmg9R13wYzp42Id+7994483P7KspJ1n /rkqM7PqJKhvZKv2G1pj9vefLly983CRzScqITE2UKvIPbBx6cfLdlcdN5M1d83CxRsOVhsj4uOj /BxleQc2Lv1kZUatW0QMEcMnjU+L0Inoo9LGT5yUFurh9zcdXUic5duXLFx9xBmSmDokOdpYV5K5 cemSbWVHL7i7Zu9Xn67YlllQbwzvmzygf1yoriZ//4alX24sdrRd9SjVP7aPr5Rl5NZ7f76kZq84 snfXwdyS6kaHSxMRl6OxpiT34K69RyrsbJ0GAAAAAABAp7X0gG7rdN4Bbcv4cN42uyTcPv/d2wY2 ZYnOgoV3XfG3bcuXZd2dlmoSNfysK4aru7YvWZF7w22JBhERZ/43n+wTGXT1BU2dhh1HPnjkX5uc w+955/kbBjdtiHXX7//ggVuf++7Jp1aNf/68kKMZfOa770Re8Kf5D1480OKxnYI9850/vb7frR98 y4vPzxkTohNx1+2d/+AdL2xqNajDy5Ws3RQx44nPH7kg1iii2XK++tsdf166+u//WDXhX+eFqJ0o O3fRl0PueXfhjYN8FRHtnmv+PevGd7K+XJp1y8BBxm6uuf213JWr//H4V6W6wbe+8p/bR1pUEc16 8N07rntx6ysvb7n46QkBJ17QDqzbsPvNeTsd+pEPffbyFTF6EdHqtj39i9s/+f7t5QXnXxfn+dPr ri/IqxOfQVGtdgrb8tevOlAn/gPOvfjsJItORDRr4davlmzLX786o98lg1q2Stfn5PslnzNrUn+L TkSc1QfXLP7u4JEf1h6Jm57oY+mbMshcun1niRKWNGhw08bvE4LwDi8kNQcyIsZccc3wMIOIyJgh Gz/5fEdlRmbViLAwnYizfPePhS4JGnXFFaOaH6Port2/5MPvCw9lVo6OjPD2xdUHxoaqe/MPl9qH BJg9DXDV5WccLreJKL7h8XGRwb4GcTRUFedmlzbYyg9n6I2Djm3VBgAAAAAAAP5Hp/MOaF34lPv+ /Ogzf52V3LKTVR+akhIiYm9wNG3wVMMmXDlSJzlLluc0bbK1Zy9dmCW6kbOmRulEROyZCz/OkKgr 55wfYa0oa1LRGDb15ksjxLb1q/2NrdYLvuzxP17qJX0WsWUuWpQjknTXX28b09xrQfUfPPtP96W2 anHSieUCzn/kgemxTZu0FVP8hQ8+elGgWNcu2FDh7lzZEdc8OGuQb1MRim/SlPEhItZam6sHam5v LXf5D++tbpDoax+6ZWRz9wfF3P+Ke68ZOSBBLalp+1y8jqzrbqy1ipiCgs3NH1TFf/g9r73/7vyn zg/3mpI6qwurRQKiWt1JW+HuwzYxJp09PunoUcUcPWLycItoxXsO17XaLmxMmjSh/9FB+sDks6YM MIszZ3deY0c2B3diIfEbMiE17OjzGA0h/eJ8RJw2Z9Myql+/sZOnnH9O6rFd1qpPWJiPiMvhfXOz iBgCIwPEXVXk4YqLiGYtzSm2iYg+JCk5PszfpFNVnck/ND45KUQvIrbinFIaSAMAAAAAAKDbnM47 oPXho6ZfKiJue01hXk5ubk7W3m3rli8qEbG0jFGDx16RbtiycenX2bfclWy0HVr0ZZ6Yzp51VljT jtqqfduKReSDOy/9wMMKZWWNbjm6T9aYOnWgn9d+2e7azJ0lIvHnTowxtDqsCx99ToLszmoe1JHl mk8udXqqpdVqiv/g6SPMS1Yd2ZJnmxFS2/GyzUMm9Gu11VU1+hiObsvtvppPvpZYczZmaWIZMTG+ VRtrxX/k/732vodpO7iub9qsGWHrFn37u4tnpl9w0XlnjR45IjUhbsAgjzMendheU+cSvZ+vvuXy umqLK1yiRCaEm1qP1FniY3237a0prHENPdoxWY1IijhukDE8KUqfcaSqoMaV7Huyr0snFhJ9eFxQ q/kUnV4n0pIaq74x/QeKiOay1dVUV1dXV5YV5mYeqBc5bua2VHOASaSmqtFTTK3ZKsubfqFgDvLT i7u+4EBGsTt8wKBYP79As1TUiTSWV9oio809/pxIAAAAAAAA/HS00wP6dA6gxV277/P/PPfml9sK 7SIifjEpQ1IS+xtzWzcwVoPHXDnauHHdsmVHbk2OO7Dwq2IJmH7NmMCmAM1VV14vInGzH//t6IA2 mZrO0r/VQb/QgHauhmattYqIf+QJ/Ql0AZHHekt0YjnfUIvh+JcNQVEWkaqKBnenyjYFmLxtY+/u mttbS1x15Q0iURH+HfxIdWhdJXDCw+/PS31j3sfLf1g0d8uiuSISOGDq1XPuu2lSrMlLSOp0uER0 BrVVA2in1Sli8DGfsGtaNfoZRRqsdpdI890w+LYZZPY3iVgb29943OmFRG/St/f3B5q9bP+m9T8e KKxziYgYA8LCw0JCdDXlJ6tBNehENKfHct22+uaG3XVZO7aKiOgt0f0ifFVx1lY1b3W31dvccuIJ AAAAAAAAAN55awAtp3UA7Sr88sFfPbnZ3ufcO/52zTmjBvcLM6tiP/jyVasz6loNUwJHXTnOvO77 r5ceunbCJysqJPTKa4b5N4ePqjnQLCK6oMHjz+5n8LRKq4nU9nZ9Kr7BfiJSW1znkohWwaGrrvRY NZ1YrqG8xiHi0+qIs7a0TsRsMaudKlvEa9ndXXN7a4nOJ8Ak0lDZ2M7TAVvr6Lq6kLQrfvf8FQ84 avL2bd+64bslC7/8bu79P+Y//8mjE4M8Jrh6g07E5XAf+9ArerNepL7R1ir/FRFx2xvtIjqj4dg8 jgar6/ivhdvWYD9pXNz5hdrnrjuw/Is1BS5LYvo5QxJiwoN89Yq4KjZ/dKTcywMdj73V4RZRdB1a yhwzsH+0WbNW5B4+UtnBGwcAAAAAAAB03OnbA9pdvvHTzXaJv/25v946fWRiWFMXYM3R4DhhoGIZ ccUEXyla/uEn81fVSMzFV6a05Lq64IGDg0WOLF9T2LolrjNn/rWj09Ov/6igw6Gb6t9/eLRI7so1 Ba0LcBasWXao5V+dWM65e/me2la/F9Cqty/a3CASPzLW1F1ld3fN7TLFpseJVG3bUNA6IW3Y9ti5 6emT/rip4cTxHVnXkbfslWf+8Z9FR+yiGCxxaZNm3v6X1z58bqqvVH23KMPq5ayNFj+dOOsbjk2r C4gM1olWllV6XHrrqsnNbRCxxAQeC5zdJScMshZl5DtEAqO9NQc/7qQ6vlC7tMa8fQUuCRw1ferI /tHBzd1ENJfj5DfDbau1ivgE+Xj6aqsmv+M6eDjrSwvyc7MyDpc0tHwWTX7et7kDAAAAAAAAHiiK 0tSFo63TOWpyi4hYa+tbQjd39Y75zy0sFZHjtnQrluFXTPSXksWvrW2QxMsvTWjVhNgn5cpLYkQy X3n03T3NT4DTGg99+vdXDmj6kVdOiux4pwFjv4svSxA59Mojr26qaO6xXL//w7+/sr/VoE4sV/v1 X/+5PL8pp9Rsucue/dvXNWIcN2timNptZXd3ze3RRU2eNVIvuW/99a0fq5unsWZ+9p+vqsU0clqy uc0bOrCu4ir69sOP3nrx9bWlRz8EWmP+vuwGEUu014Yp+sCYQJHa1o/hM0Wn9jOK/dCadYdqmmfS rAXbVv9YLUrkkAT/Vl8De+bqdZlHBzlrMtevybSJLjY13rf1N8jt5W8KOrFQ+zQREafN0bKOZi3a tX5/Q8tr3jiqS+pECYqyeLo8iik4tPWue3NodJ8+0aGtQ2mf0GBvvU0AAAAAAACA9rXtxdHLLTic 21/63b0fnliEPmra//3ukuiJsyb5/vn7D+6+tXzmpCTf+ry965avq0wYYpE9NateeeH9W265enxE 01v9h14+ybJ8aY3I4Kumxx7Xz8GU8qsnbtl467ydL914zgfJ6cPi1PwtGzJqJGDy449fHNWZTrfG hNmP3b765tf2vXXXjKUpI1NCbUe278ipjx4z3LBpe6eXU0JjapY8fNn6t9JTo9x5O7dlVYsEnP37 h85tenpiN5XdvTW3T4288E8Prrz+ybWv3XbR0rT0lHB3/rZ1+yrFOOo3v50Y7CF5Pfm6+tgZN581 789rl/1uxtbBY4fGWdzlBzdvOVwvweffd+0AY9spmwrxi4n1l51FRfXuyMDmdU2x46cMKFqekbFy Qe72PpEWtaGsoKTWJYbYsyYPDGhdnG+ALePbBbnbYyL8tZqSwkqriDH+rLMTm/NnRWfQidRlbvhB jY4aNDIl+MST6vBC7VF84lP7Gr7L3r1kUWNKfLDBUVOam5VrDYowSYntyOYNu0aOGBLr5+mdzurc MpeE9IvwfHUUc3h8RNmBEpuXhU2R8eE8gBAAAAAAAACdcxr3gG7I2LQuo83RiH633S+xERc8/rrr 1RfeWrbq/bkrLLEpwyb+4f07Lgja+OSdf/ryx0VfbLnsyqMBtPgNumCkeekqx6hZU09MTBW/tDvn fjTw3dc/Wb1z/5bvDhpD+42cOefOO68cEdrJk1d8B9/66gd957326fc79mz6fr8pIu2SB35z54gf brt2+7FBHVwu6Ow/vXbOrnlvf71545oyXdSAsZOmX3fHL8dHGjo5z6ms+WQMcVc882HMglfnr9i6 Z92KnYaQ+GEzbphzzzVjvKWhJ11XF3Hh0+8Hfjh33ufrD276dq/baInsO+GaK2+68dKREd6TcV1w /0T/nbuyi61pgUf3LSu+/SZfOTNy2/aD+SXFR8rdZkto7MDEtFGpscc/odEcP/nShOJtOw4V5Oc0 KP6hsQOS0tKHxrZsXdYFDx6VnLv+YFHG7mpn/PA2AXSHF2qf6td/6qXalo3bM4/s2pZlsoRFxk+8 Mr2/Oe/7Jd9lFB04UJAyyGMA7a7LL2iQsOHxft6ybp1/bHKC6+DhcpscexRhE1NoQnKfzlQJAAAA AAAAiIg09d/wGEMr7YTTZ5DGnU9ffsvHdZP+ufjZKUGn+QZO295nL7/hA8fl8758OK1tYwp0B3fN ni8WrJWzfnnZkA7vOnaWrvtw4W5XymWzJ0X29u9luspVvumjT3eHTJt9fkL7+5jdtpqy4uKyqrpG h1tUg49/UGhEZHgg3Z8BAAAAAABwUtnZ2X5+foqiLFiwYPr06XI0gHa73S6XS0RWrlw5Z84cVVVV VT1Tk7bjuIpXzv2yTCwXzko/3dNnnBKqJWlk4uav92TWDBoR9PMJVR2l+zJq/VLOjTtpFw3VZImI t0TEn5KyAAAAAAAA8PN1hodz9iMfPjTnpl9c/eh6qyRdd/Nw/94uCKcJc9zYsTH1u7bkWn8KO/w7 xF2buSnD3X/iyPCfxK+VAAAAAAAAcMbQNM1bp40zPIAWzV52cHeOI3rMDc++eH2it8fS4edHDRg4 aWxI3oad5c7eLuXUsBVs2Vrdd9L4eB4iCAAAAAAAgFNLUZSmLhxN/3/cSz+NHtAAAAAAAAAAgFOg nR7Qbrdb07SfXA9oAAAAAAAAAEAvaWeXMwE0AAAAAAAAAKCLWrfdaJtEn+k9oAEAAAAAAAAAvaYl dPa4D5oAGgAAAAAAAADQI2jBAQAAAAAAAADounZ6QLMDGgAAAAAAAADQIwigAQAAAAAAAABd1PIQ QkVRWj+QsEnvtOAoKCjolXUBAAAAAAAAADExMadmod4JoE/Z6QEAAAAAAAAAek5LA2iPnaBpwQEA AAAAAAAA6BEE0AAAAAAAAACAbtB2E3TvtOAAAAAAAAAAAPw0tH32YAsCaAAAAAAAAABA13ns/tyE FhwAAAAAAAAAgB5BAA0AAAAAAAAA6CJN0xRFURSl6YcTXqUFBwAAAAAAAACg62jBAQAAAAAAAAA4 1QigAQAAAAAAAABdpBzl8VUCaAAAAAAAAABAj6AHNAAAAAAAAACgi1oaQGua1rYZNDugAQAAAAAA AAA9ggAaAAAAAAAAANB1LT2g23aCJoAGAAAAAAAAAHSRoihNzTc8PoeQABoAAAAAAAAA0CMIoAEA AAAAAAAAPYIAGgAAAAAAAADQRZqmnfBDawTQAAAAAAAAAIAuogc0AAAAAAAAAKCnKIrSlD633QRN AA0AAAAAAAAA6AZtN0ETQAMAAAAAAAAAegQBNAAAAAAAAACgi3gIIQAAAAAAAACgR7S03eAhhAAA AAAAAACAU4cAGgAAAAAAAADQIwigAQAAAAAAAAA9ggAaAAAAAAAAANBFrR9C2PY5hATQAAAAAAAA AIAu4iGEAAAAAAAAAIBeQADdw5wNv3l5q/KfnI2OHpm+8sAB5emtY3Y63P/bmO5aCwAAAAAAAABa EEADAAAAAAAAAHqEvrcLAE4hrbFh99aqogZNRHQB/kNHBYYbe7smAAAAAAAA4AymKErTswc99oAm gMbPh6vx6z+v+3eOqY9FVUSzVTQ0jBg+9+GIQA9fDAAAAAAAAAAd0ZQ+t/6htd4MoF3W+rfXFb15 uP7HMofD1zw8yv/K9Oh7E4zmppedDb95bd8LPnEHr/L5fHX+ixn1uQ5dv0i/qYMiH0+3xOpaT2Rf vrXwhQN1m4uspaKLDQ+4ekTUQ2l+oc25onvzit1jtuqfnzNgSk7B/62v+K7KpZiM6UnhT0yNnOav dHqeW5OS9ub98cfq3Y2a0c/3mgl9/z3cnLe/4KEtVT8U2Sr0hvQBkc+dGzHR57hY015f+/fv8148 2FDo1MVH+E4eGPnYmMCE1pf/JKuLiNSWVTy1tnRRXsOeOndAoP81Y2If9D3xqnZkTHet5ZGzoe71 dcXvHqnbUu70C/IdHRt014TIS4PVlrlPct/FvWH57vE/GubemZx2IOfmHyr3hfTNuSEsVulQ2R64 a2t37rPaNXGVFc3frZ9018CpEYqI2HNynn8z44MVykiLiKqPGRIU60sUDQAAAAAAAHQjxWMsfQq4 6qtvfydzXo2Iv++0PiZjXcN3+bYGUc87b9CXo8xmORpAS+B57uoV9frUeL++btuGPGu5SEhyv60z Q/s19a92Nj7/yf7fZrsNFr9pMaYAh33TkbrDLgkf0G/zZaF9VTkaHKs3D9PN3+EYMSBwjL97T2bF tzUiYdHbbowZoe/UPNrZMbKm3DgzxT/SWvfBgYYaUUclmnZn2ZKTQqZYXJv2VW6yimVAYsbM4Ejl 6Fk0mEearNsaDGnxvrFu24Y8a4WIX9+4rb+IGKjr4OpSW1gw5d3CbZoYA3zPjtTXl9VtqHJHh+kK y1yjL0zbkGZQOzamu9byyFlbedM7WfPrJCDEf2qkwVFR+1WxU/QBz9+cfF+I0qH73hxA6x8Yq/v3 xjqbouub3HfDzOAo18nL9qxx5577Hi/Ir9d8LEZT23FuZ1WNWx9omfnXMTcn0xMdAAAAAAAAaF92 drafn5+iKAsWLJg+fbocbb7hdrtdLpeIrFy5cs6cOaqqqqraWzugXSu+PTyvRuKGJqw6PyRRLyJa WW7hjAWFK1Zmv508YI7l6FbU2uoVAaHz58TPDlJFpLGy4vYPDr93MOeeDMuiFIMq2v4th3+bLRMn pywe69fUSsFta3h+4YH7M3LuzAhcnKI/Gina3tzl99SNQ34fpVNEtMkRv5+3/5my8vfKokZEqdKJ eZxrasOX3R433VcR0e7fvH/Atw1bsxy/vDz1nQEGvYhzbOmUV3PWZlVsdwRPb2kv7LJu04cuuKPv NYGKiDRWlN+24Mj87Lzb9wR9m2bUdWR1V+Mziwu3aUr6+OQlEwMiVBHNtXnzoXO+q211UTswprvW 8khzLvrmyPw6JX3CgK8n+ocoIuLeuTFj1KraP31fe+NMS1DH77s0/nOjcfaFg/6d6huidqxsb1X5 pA35z1O62x+y3vfW8BE+bWquKnzgpsMTnxt7eTTbnwEAAAAAAIAuaGeXc+/s+NSstS8ecIkp+NVz mlJIEVHC4qLfGG8Sre6lA3bnsbG6WRfE/TKouU6f4JD/zAgNFffSrTXFmoizce6PjWIJe2yQsaHe UVjnKKxzFDsMV4wLixX3qr0Nda0WjR0Zd2+UrilkVIw+lycaRNyVTSt1Zp6zJ0dPa27VoMT1tfQV kYjoJ/sbms5D7x9wYbCI02U97prrr78w7uqjvYZ9QkJfmhEaKtr3P1bnd+wsGkvL5lWIhMe8d1ZA RNPFUHSj0/s9E3NsjY6M6a61PHLXVz970C2WyFfHN6XPIqIOHd7n13G+gxR7hbtT913C0/q9ktaU PnfuBnnntK7/IGttiavwu0MfbbFZ8/Lf/bii2tWhtwIAAAAAAABo12n0EEJbdd0el+j6BI8xtz6s JCVaotaWZubaGkebApqOqX6zYnStCw+MDjnbUP55ed0hZ2iEtWF1jYiUnPvfEg/L1DnqNTm6p1Yd nWhu3cTYZFBEmkNiV2PH59EnBepaYntVVY0ipgBzSMshRfHTtZlB53d1tKezqKzLcoT3sZ18dSmt zxdJHhiY0Hpy1XDuAB8paGz6V1UHxnTkTDuylmiuvCpHQ0vIrupiAw3uipo9IsFxlgGtPlaKKeBf swc1/Wzt+H0XdewAX8vREZ25Qe1wWjd9meMa2sf3h5ylEeHThhd98VXgxMl+J30fAAAAAAAAAC80 TWuKnk+jhxC6HM46ET8/vemEakzGIJGiRpe95ZDREHJCnqvTxZtFGhy1bnHZHLUiEhz5zjkBwW3y R53JJ+jYQTXI4DWh7Mw80nYWT8n+8UyGkBP2mjefhatR68jqWoHVLSJBAfrjb5gSFNBydbSGk4/p rrVEa6y+5rXD6469M3Dpr/uPtzlqReJPfOMxnbjvokaZjtXXqRsEAAAAAAAA4FRqpwVH7wTQOoPe TyS/wWkT8W913GV31IiYTKqh5ZDdUeESMbQe5CqwiRj0vqqoBp2viKj60QmBKW33HXdYd83jlc1R 4T7+iMuVbxMxGQI7dhb+vqqIVNY4nWIwHjusVde1dJBQOjCmu9YSxeT/xMyEoqMHFL1xhEF0Br2P SF2Dy1tXi07cdxG1Vabc4zcIAAAAAAAAwP9MUZQTwuje6QFtCvQfrBNXUdVmW+vD2qGs6gKR/vHm Y4+Kc9d/WOhqXXJ5XvlKu0iIf5Je9L6+6b4i5RWLq1sP0Q5u3qc+vTV923E9hdvRXXP+Rj0AACAA SURBVPN45ar/6MSzKFtpF314QH9Dh1YPDA/oK5KZUX24dbjrtn+5t7HlXx0Z011ric44dWDILwc3 /2/WAP8oVXyC/ZNFynJrjnujvfbmF7cqz2WttHfmvh+vx28QAAAAAAAAgC5RjhJPW6F7J4BWzAH3 DtCJreL2lRVZzdmhVppTePM6myh+dw80ttoJ6/rgq9wFVc37hxsrK377dUWlqOePCoxWRAy+dww1 ijQ+srR409FMs7609M41DZrqf8fRBwOeXHfN45Xz3a/yPjkanjZWlN+7rLJKdFeMtoR3bHVzaMiv QkVKC679oaa46WJorm1bs/9UfGyNjozprrU80luCfh2nSGXRrRvqypvP1b1re8H8RvGJC0kzdOq+ H6+7blBztxT1aCMVOncAAAAAAAAAPah3WnCI6M4/t9+NeYfe3nU4Kavo3Bizsb7+uwK7VXTTpvW7 JbB1LGjoZy2f/WrN3+N94zXb+lxruUhQUtx/Bxp0IiLqyPGJDx858Lf8/LEvlKTF+/VXbasON1aI 7rKLE27swGPpjuquebzwD0i3ll393+phfX1jXbb1edYKkT6p/Z5P1CsdXF3n89uLor94r3DrhoNx e3wnRxoaK+rWVrj69vM3Hqk7elE7MKa71vJIMV53Yfynb2cv/eFA/G6/qVFGV1XtsiKn6AP+eU5g uCKdue8n6JYbZAr81YvjJdBk6jv+WZ0pyJD2yjNqsOLpsYYAAAAAAAAAOqRl17PHTtC9swNaRHR+ QW/cnPJqetBZPs4NBytXVCqpCWFPXz34y5Hm455Q5xv4xo39nxhsdlfULs51+EVYbpqcvPPysISj jYAVk99fZw/++KyQc8KVnJyqz/KcEXFhL1475OMh3rfTetJd83gWGPrxTUl/7K/Py6leku8MiQm8 a9rAbRcGRR8NTjuyun90zHc3J/whxX+AZl2RWb3NYb7pvIFrpwQEt1qnI2O6ay2PjMFhn92S/I80 y2CxLdtfubpGd9aQ2BW3J98b0nyqHb3vbfxvN0inU53OGquYg4xmRVN8TYEmcav6kEDV3WC3aoqR xtIAAAAAAABAF7W04PDwUjsPKOxlzobfvLbvBVfY2jv6TuiGDBg/Z7ba9x/YMD/T82fdZ+Tg/zwW G9Vbfw0AAAAAAAAAnEmys7P9/PwURVmwYMH06dM1TWtKn91ut9vtFpGVK1fOmTNHVVVVVQnd8HNg Cpj9wjkzyuxW94mvKDp9cJjBSDNoAAAAAAAAoCsUpXmXc9M+6BN2PBNA42dC1QVF+PR2EQAAAAAA AMBPT9MO6NOrBzQAAAAAAAAA4EzX+iGEbTPo03gHtN73+btGPd/bVQAAAAAAAAAAuoYd0AAAAAAA AACALmrqv9H6h9YIoAEAAAAAAAAAPYIAGgAAAAAAAADQRa17QLfdBE0ADQAAAAAAAADoEQTQAAAA AAAAAIAuogc0AAAAAAAAAKDHtbTjaEEADQAAAAAAAADoEfreLgAAAAAAAAAAcKZq/RDCtq+yAxoA AAAAAAAA0A3atoEmgAYAAAAAAAAAdBEPIQQAAAAAAAAA9AICaAAAAAAAAABAN2jbBpoAGgAAAAAA AADQRe0/hFB/aosBAAAAAAAAAPx0eGz93IIAGgAAAAAAAADQdR73PjehBQcAAAAAAAAAoEcQQAMA AAAAAAAAuk5RFG+NOGjBAQAAAAAAAADoonb6bwg7oAEAAAAAAAAAXXNC+tw2jCaABgAAAAAAAAB0 RVPnjZYWHG0bcRBAAwAAAAAAAAB6BD2gAQAAAAAAAABd19R5w2MzaHZAAwAAAAAAAAC6rqUFR1sE 0AAAAAAAAACAHkEADQAAAAAAAADoipbmG966cNADGgAAAAAAAADQFSd03mjbiIMd0AAAAAAAAACA LmrZ9ezxIYTsgAYAAAAAAAAAdJ3H6LkJO6ABAAAAAAAAAD2i13ZA2+32vLy8mpoal8vVWzUAPw2q qoaEhPR2FaeaoihmszkoKMhoNPZ2LQAAAAAAAD9fiqI07YBu2wBaeiuAttvt+/fvDwkJiY+P1+tp AwJ0naZpWVlZgYGBvV3IqeZ2ux0OR3FxcXR0NP8ZAQAAAAAA6C2nYw/ovLy8kJCQkJAQvV7vMRcH 0EE/278hUFXVZDKJSGVlZXh4eG+XAwAAAAAAAA96J4Curq7u37+/0WjU6XQE0AC6zGAw1NXV9XYV AAAAAAAA8Kx3HkLodrtNJhPpM4D/kaqq7TxlFQAAAAAAAD2tJeP1GPb2TgAtIoqikD4DAAAAAAAA wBmt/R7QvRZAAwAAAAAAAAB+2gigAQAAAAAAAAA9onceQggAAAAAAAAA+Alov9PyaRNAa9bDyz9Z W9r2BV3sOVdNiTH0QkWNWV9/vif2ootSLewTx0+JZju86L+fZNhjpt8xOy3A038fnPnLXlvouGjO JX0NJz+u1e95/9WN/W++aWww3xQAAAAAAICfI4/dn5ucNgG0Yuwz7sILHJqIOIo2rtxpSD9nZJhe RFFNltOmSOCnwF6064hdRIr2ZDekpfp5GKGqioiiKqqI+6THVVUREUUlfQYAAAAAAPg5av8hhKdP tqsaA0PDRETE3mBQFFNgaFhYL+x7Bn7iFFvBzsP28PFnGzas3XWkccgQn7Z7oJv/bKLNX094PK4o J/k7CwAAAAAAAPy0NaVDp3kA3Q5nyYbPV9aOmnlego8iotUfXLZod+T0GX32Ld5gGjnQkbEvu8xq CIodPHZsSphRERHNXrp/4+Z9eRUNmk9ov9Qx6QNCjScEZJq97OCWzbtzKxociimoz6Ax44dEnDim /cEuj1VdOjJE9bS6Zj2y/Iv9iVOSijdtr4w7b8bwYF3L9Pac5Qt3x03sX7V7T3ZpgxqcMHLi2P6B Oq9F2nOWL9wdOz6+ZMfe/FolMC5t/FBT5oZtWWUNuuCk0VPGJvipHbsI+BnS7EW7suxhE4elGQ+v Wb7rSMOQwX6iibhtRdu/+WZjRnGjb9SgccNbNjh7O+55clvh9m9XbswoqrWrPmFJo8+/YEwfkzP/ 67kfVU69/ZpBfoqIVrtj/twNcdfdOjlCtRVs+2bl5oNFtZp/9KDx550zLMqkSOO+91/blnrl0Jxv vi/uf81NZ4fr2l0SAAAAAAAAva4peva4SfGM+Kt5fUhCjL48q9SmiYjWUJBZZe6XEKgTcdUeWL/X Hpd+znlnpfiXbP1mdWa9W8RVvXfFil32PqPOvXD6pMEBJVu+WXuk4YTw3Vm6bdWmIv+B486bPu2s wQGl29furnR5W9/zYC9VtbO6q2rP+gwtftiwvn4nXndX5Z7NBQGpU2ZcNClJO7xpU65Va7dIZ8Wu nfXx4y+YcXaCO3vzV8v2GQZPuejC8TGNh7buKndKxy4Cfn4UxV6487A9ZEhyYEC/lFB3/s6cRhER rXbPF++vzAlIn3nd7AtTtc3L9ta72jvueXJnwerPVmQHjbnkupuunzk+NP/7JRvK3KopemiisWhP gU0REak7vKs0YHBqhMFdsfnDBeutydN+ecuNV44PyVv54eL9dZqoqqK4Sjct2y4DJ00eHKSjswcA AAAAAMCZ7MwId/QhiTG6sqwyhybuhvzMKp+EBEvTtkhTwlkTBsdFRMYPOevsZGPJ/iN1bmfF/v21 UeMnpvWNCA2PHTTu7IHGwoxC63HhqybGyCHjzh4zuG9keGTfgSkxJnud3dveTm+DPVbV3upup2nw 5LOGDYgPbrMVWZOA1DFD+gRbgmMHDw5VGmqsWvtFGqJHjkgMswT3SU4MVHz6j06LD7GE9k2JM9tr rW6RjlwE/AwptsKdWfaggQMCVSUwaUCgO29XjlUUd83+LdnmEVfMnDgwLi55zIzL0wNEFMXLca+T i7nvWTOuuGDswLiY+JRRYxJ9rdV2t4gxKjVRn7+70C7irj+8szRgSGqo3lmybVtVwkWXT0qJi+rT f/TFV6SbsrdnNyoiirgcPmOvvmzyqAHhJsV7A/susWa+d9/sa/+8rLhVjq417J175+xbn99ccwZ/ QbSq7/984wNfFDq7a0LbgVfvuO2F3dYOHe/21TtBq1n7l9me3PjMjsbuWcJds3fZwlW5tq692374 vXtv+cf2bqqle1n3vTzn9pf2trnLnfa/XSIAAAAAwJlO0zRFURRFOXNbcIgYQhOjlDVZpY6YoPxD VX6J4y06cYuIGtQnuLlRtD44NlR3uKzemVBX3uioWPPZguacTHO53P51Nrf4HPtTfkUf1C9ZX1aU ta+8vKykKL/YJvFeF/c62ENVmrXKy+pmEdUvMszHc+Sv+oQFmxQREUWnV0VEtHaLVE2W5tPR6RTV J7DpH4pqUBUREc3urQwf+hn8rNmLdmXZA4alhChutxqSnOS3fseuHGtKQm1RjT4qOUzvcjpdiqKG JUUZdoqIy8txL4zhg9JMBdk7NhYUFuYdycxp0FIUEdEMUUMTdQt3FToSQg7tKrEMvTRY524sLay1 FS188enmttKa0+EKqrZqir+ILrBvrK/mcrnd7Xf86AJz0sybJ37/j08++HHCfekWRUTEUfDN29/V Dbh59kgLPWrOQIrfsDlPPN7gFpHGPa8/9YnPDX+4tr9JRNEFRJu7ZwlXzb6vP98VeN7kOBMfEc+4 RAAAAADw89b+48HOkABa9KGJUbLucHl1RGaVX8IEiyrSJppSFdHcbtFEVN+Uc6YPCTyW9Sp603HB q9aYu3H5D9m66MSEuMSRAxIzVq51eF3b+2APVXld3S6i6Aw6bzdD1bVJhk9S5PHPgTvxvR24CPi5 aeq/YRPbpjef3tRyNGdHrjXBr6lPvNvd9HsqtyYimiiK6vG4F+76g8vnf7HfkJg6eODQc9OH/fjB 51YREU0zxKT2lUW7Cytid5YEDb04SNU0EVEDx8y6YUKY2twhSBNFZ2j+pugVze3ukf3Iin/arOvT Nr3yzqJDQ6/rbxJ31Zb3P8+NvuTJyRF8Pc5MOv+YxP4iIlJf4avo/GOS+vfvpuQZAAAAAAB0kMe9 z03OlABaMYQnRrjX7d5dUe2fNDHgaKrqrsqvdMRHGkTEWZVX5vIb4K836YMM1vJaMUX5qCKao2T7 93sMIyelBh+bTbMV781yJJx30bgIvYg4Cp0u71lXO4M9VGWyeF49qNOn3KkiT6B4KyP45O/FT5Zi L9yZZfMZNPOXZ0foNE1RFFfp2vcXHtiZ55oeG+hel1FiT+ijFxFH2aEihxYrogv0fNzT5IrYcjbt tqddd+uMGL1bUezZGx1NvyXSNDHGpMa7l2xYX1QaPOySIFXEbQ4LN9UVVGg+8b4iotnzVn22zjRl 5rhIOfqenqKGjL/xqmUPLHj7u2mPTg889MX8H02TH7qor1FExFG29ZO573+3t7DRt0/qObNvvXJE qF5cpcsefuD785594rwwVcRdvuJP96+c/M8nzg87PrF2lG768LUPVu0tdocmj7v81humxJkVrT7z m3ff/nJTVrlVDYgdOeNXt1060F+Ruo2P37so/d4pOZ8v3phRpo+f+Mtf/+qcPsYTCvVYzMneazsw 99dPFV/3/MNnBSki7rIVf7l/Ucqjz16bYDg2sZeqRGs49PW8eYs2H6kPSBx38dSWfhrejnvkcXL7 gbm/8ViVru7gsjffWrr1cIU7KGnCzJtumJbkq2g1ax/7zddn/27KvnkLjqQ//NTVkUXfvTP3s3WZ FXZzeOp5N9xxzaiQjv+2wPNl9HYRNGvuCWsNs375hwc/LRb595w7dj364u0DDB2p+Zq+Bg+12POX P/uX9xsv+vNDMyN2/NXLffRQsFK46A+/W5n+5D+viTc4Ds+//+Elusuf/scv4gz2rHf/70+7L/zX 3861f9/+JfJ200XEUbJu3kcL12RUm+KGX3jTrZcMsqjerpvn78KjqT88dNwlMnX47gAAAAAAfg7O jB7QIqIYwpMiXMXZNQFJcf7HqrYeWrt+b15JSe6etd8fsIWlJASo+rCU/v6lm77bfLCgrCx///o1 e2v8I/yPO1FFZ/bT28tyCyrq66sK9q5fn213NtY2Oj1mXu0NbltVB1bv6Bl3psgTdV8Z+OmwF+46 ZLMMHZ8SFRYWFhYWGhoaNWBMaoAzZ0eBaeCYvvbtXyzecDAvP2vrskU7GkRRRFMtA0d7OO6ZYvCz GBrz9x0qrKwqzly/+Mu9VkddRa3drWmaZuwzLM6Rvbc8OG1goOJ2u92G6NEjAvO+XrBsW2ZeXuam xQs3VQTFB+l6MnluoY+edstFYYc+eX/TwZXvrKgfdt0vBvspIlrjvnf/8uw3jjE3/fHxP94w0rrs mcfeP9jB7rha/a43//LCOvO5d/7lr7+9JGL33Mfn7qjXbBnz//nW7rDz5zz82CP3XBR94MOXvjjS /GcMjuxFb2+Pnnn/U0/9ZrL2w5tvbj2hAXV7xbT3XlPficNMh9YcqNVExF2xfXVO0PiJsceFoV6q cpWt+tfj7+wJmn7Xw3+8ebzzqzfW17hEvB/3zPPkXqpy5C9+8onP60dc94cnHvvtJVH73/7bf9ZW NP3WwpG7+LVv3GN+cc24cHf2Z/98Y1vgtDse+cvvr0urWPrSm9vrOvop8XoZvVwER9u1rNGXPfnU 5ZGGAXe//PJtyaaO1ezpV7uusnWv/m1++eQHHpyZaFa83EfPBetChw4Lqth5sNot7upD+8pFindl 1Wniqs7YUx02PDUg72SXyPtH0V236Y3Pa9Jv+v0j98yIyPzwb88sK3J18rvw/+3deXxU5bnA8eec MzOZmexkQwgBwr6EHRQBURDjhktdWtzqUnFrbeu90ttaW72trddba7XautSt9bqVWhBFLSKCoBQF WQIihB0SCAkh+zJzznv/mDBOJjOTkG0S8vt+5lOTOee87/O+Z5LPpw9PnmPr02iLWnhvAAAAAAA9 RnepgBbRHGnZqfqh+kFZ3+RRNXvfKaPsu/69fEOdPSlzwpwzhsTpItJr7Jxzbf/+YtPHO2v12PTB 02aPT7M3TprZ0ydMHfrJutVLvzLi0geOmXFWzNo1X6z+Ov38wJYVLTm5aVRG6NlbkVULO++QFlwc Jgz0YHWHt+yuS54yJkXzer2+P4swjNRxY5I+X7fpoP3KK6/3vLf00yWvrXb2HjHjW9M3vHNURCRu 9JXXe0O8H4oja9bFkxa/t/iFdUZS1pgZ37oy9p3Fy975MvPayUm6xGSO6avn140blqQpU4lYetrM G661L122+q0vq/TErHGXzDsn06G1e9Pn0GKyL7n5rFUP//Ghz/V+8x45o5cuIlK9/Z1PKkd/76Gr zkzSRbJ/4Nn541fey796yIjmx1MVm5esqT/9x7dfNC5WkyE33X7kyeVF5d7h7pGX3Hr2jJlD43WR ftqGdx89WmWK2EXEUhmX3Dx3XIou/S6+eNCytwrKTUkI+H0cLpjRYa6NP3Ghc8D0Mfbfr9pZNWWi 69jGlft7TZvfp1H+WamQUZnFny3d5jrn/u9fOsIlMnJgQtH2X64SEbMo9PthNiL04KGjqtv7wQdF o2/92RWT4zSR7KyEo189uCyvbNoMQ8Ssi73gnrvOSzNEajYeKncMPHPmlJFJ+oj+6enjjqWFqi4O Kdw2jpLQcarjIebSdEMXEd3QNa2FMTdhlW/+20NPbRly18PXjG4oPA55H43QAd89eMII10fr99XM ch/cVNx76piqzV8eqD0re+/GI7Ejx/fWQoXdkvsiIkoSZ955+8XDnSLDsxOL73lw2eqCORcUn9zP QuAWtfTeAAAAAABOLd2sBYcj67xrQzwS0KoprZJeI/q5A1LEmi0he+oFw6YGnaq7euecfXFOhDl0 d79Juf0m+b/Pnpt1etApmiv7/HnZIiIS4eQQUYWcXXMOyJ03IHQwjqzz5mWF+i7cvInfnK/Hjbh4 3omkgNFrwrfmRQwDPZamOQdces99uu71ev3tlS1LS5t5531na6ZpahkTLr1l0qUnzp/4I/GdaQv9 fsDQ7tHfXTDWsixLxQ499/phczRpePjpmNsWXGCapmmaSpkVR8q03mcMjhdlKRGxLEtz9pt+1a3T RXznm6ZpWZbuGnHDgtGWZZlmhDrbtm9H3Oirrxm55umCs2+Y08f3a9B7fO9hb/o5gxo6/OgJg0el 1K3bX2aOaP5PBzzF+QXWaVf1d/ueJOoeed2CkSIiMm2WM3/r6qW7d+36Ou/LbRVqyokrbMmD+/tm 0uwxNk2CemuHDWZ0bHPXurJn5BhPfJJfMy7zy4/3p0y/7bTGuUjN2S9UVJ7i/BL7wIn9Xb6zYvqO GxDzSYT3w+xr6MFDRmWVH9hVWr3nibtuauiNb9XXe9OPVHolUcSWOnJoki+T6xxy0bm9f/vHu+5+ f8rkCeMnnT5lZEZLH3QXfhszQscZeq5vmu9bVS2LOYiq3fz8H7eKshxHqy050RwjxH0MG/CorCmD 5MUvD1X12nowZvSNM49uej3vcJVz435jSG5WjFM1s0Vh74uIZu8/PquhZ7Yza0K2Y+Wekto2/CwA AAAAAHoo33MIQ6ahu2ICuilVf7zo8MEtX9ekTuwX22X+D3DXjAoISSllnRD4ptfr1TSt4RmDjfLK Dd96vV5d15u+H/StOiHosadKKVVXfPDArrWfV/Y5b2i8fPNsQdM0/b+VfNcGjtYei45Ej+3dO1ar ykxplJ4NjF3TtYZseSDlrQ/RB0eZSjQ96NeAdXz98w8+8W9HzvRpU2bMO3fG8t8+Ve0/aItp9k8S wgYT+VrX4Bkj5U9r8g8N+fhA6ow7egf9lg8XlaYHPdhU+2bmUO+HFH7JIaKyLDFSzv/JLy4JaBGi O+PtUiWi2Zwn1qjFjrz2oWdmbd/wxYaNG978zRv/N/GOh344I7XFXaBDbWPYTQg5V2LAAlsWcxAl 7jHfe/Dq6qd/9uZfP53+k5kpvuDD3MdQAWvuQadnVr+7dXfmV1V9Lx84pDSjfMXXu107arMuHegS TWtmiyJ+FAPpmqbrvjve2p8FAAAAAACCdI+8qVme/9mabbV9J00Z4O46f9/bNaMCwgnKPvv4EtO+ /K/VWNCFTd8PPMGXMm46iFLKKt3y/pJ1VUPOO39EbFCP58DTmo7WuWxJ/XvbirbsqvBNbZXnbym2 98lK8GXxzDrfQ0BVzcHtRz3B19p7ZafJ4bwDNb5rq7f8+cf3/GV7ydYlq2pm3Pvgf954yVnjBqUa tfUtXlXkYCLTXINnjrA2vb3og4PpM88Izj+rytBR2dOGpHr3rN9X4zut7tCmvXUqwvshhRs8ZFR6 XN9MV9muI1p8UlJSUlJizJH3nn7uoyPBhe/msfULX16yN27E9LnXff+Xj/7yXOPLZdsqWraT4bZR DxNns3O1MOZgunPo7NP79pt94wWJea++mRe+hXX4+64nDpucVrx25Zqi1DFZsYlDRiceXr1ybUnG lKHxWrNhR7gvojz7vtzf0N659sD63fXpQ9NdbfhZAAAAAAD0UP7iwqa6RwW0LXXSZfMmBb+ZMe2q q6MSzokAQkUFIIi9z+w7f5IrIoHdP7og9/CLprl//cKTC/UrJySVrHvzpe2JZz8w1C2GykjRDnz4 7uejLupXvemfr26v01KDLtWSxl086W+/f/rZ/rdcNMx+YNlfVtcM/0lmnJ4SU7Xz8017ew0yCtYu /Mva6pohh0vrRp7WhmCksvlrtdihZw2te2xtZb9rpqQHp6w1R2LoqNKnXDjqzWeeeCr9pouG2fcu ++uKMrGJiJEa+v3QM4cb/LQYvWlUzkHnz0q978VHXpRrz+6vdrzz7LsFU+7PsIs0etqd7pADK99Y WRFzy/lDHMVbl20oix/f29nCf/MLs42ahI5zRHzIubRK0ayqwsKSSmdKi2IOIyb7kpumffzIS0ty H56XflIBi4iROnps3GtLdyXn3pho2ONzBsmSzw5kXD4q2Wh+i8Lel2QRXcpX/fmZPjfkZls7l760 rDrn9qlphjvhJH8WNPlmi+J43AAAAAAA9EQRWnAYDzzwQGeHI1JYWJiRkWEYLf4bagBhWJZVVFSU nJwc7UAi8VdGd8TgdXV1SUlJJ32ZWbLh/ZWlI86fNbihg45mT8uZklXz5fuL3np7xdaK0867455v j07QRRypg1OOb1j65j+Wrt1jm3z9XGPjzt6zzxnUqB19zGnjJ2Yc/fTthf94d1W+jP3OD248s7c7 dchpVRuWvP7moo82laSde8slCTuXLVkfc8bMgeWfLM1LnXXeqERDRDyHVi7NS581Z2RgfXPYYOoP rQx5rWffx+9/3efcc4fH66LZ4/Wt761zz7157tC44D9zsaWEjurs8aMnj4kv+HTposXLt1Rkzb1x csmm8rHnn9E7of/EUO+nB6ahaxtmHz1gWOglD4vXm0ZlJI84fZj+9Yolixa/v64gfvqNP7xmXLJN k7oDK9/7KmP2nBEJuojmyBgxQPI/XvLWkn+t2lgYO/ma7183MdUWKsfpObRyyeeO6RdPzTgRW7ht DLcJc2ZMyW46l263lW1buegfazwTZk0YlNN8zI0/aMc3/2tVxfiLpvW2a460QQk7F7/xedy0qa71 74W4j4nOMPddxHDZ9n24qjD7sm+f1cdhODwbl37umfKdKyen2JrfonDrndZr+/KdY269wPvha68t XrM/Zty8e+44p49DO+mfBSNgi8b26h7/sg0AAAAAaIOysjKHw6FpWl5e3uDBgwMP+XLQe/bsmTRp kuYTjT91l/Xr148ZM8Zutzd/KoCIPB5PXl7ewIEDox1I1JSVlfXv3z/aUXQpnn1v3Hv/5gsf/e/z 0rrQP/N1zagAAAAAAMBJ27dvX2xsrKZpr7/+em5ubuBTvnwFiMuXL7/tttt0Xdd1PTqFSrque71e EtAA2siyrKDHHvZwVuWB7V+tX/RB6aAbJqZ0mTxv14wKAAAAAAB0gug8hDAhwZmShQAAF4tJREFU IaG0tDQqxdcATiUej8fpdEY7ii7Ec3jFc0++Uzbh+lumpnSdh8x2zagAAAAAAEAniE4FdN++fXfs 2KFpWkpKisPhiEoMALo1r9dbWVlpGEbv3r2jHUsXEjP4hsdeviHaUQTrmlEBAAAAAIBOEJ0EtNPp HD58+MGDB7dt22aaZlRiAE4Zuq7v2bMn2lF0Nl3X3W53eno6zXwAAAAAAAC6rKg9rN7hcGRnZ0dr dgAAAAAAAABAR6MbJwAAAAAAAACgQ5CABgAAAAAAAAC0nqZpmqaFPBS1FhwAAAAAAAAAgFOAUirc ISqgAQAAAAAAAACt5K99DlkETQIaAAAAAAAAANBKSilfC46QddC04AAAAAAAAAAAtB4tOAAAAAAA AAAAnY0ENAAAAAAAAACgregBDQAAAAAAAABoZ0qpcF04SEADAAAAAAAAAFrJn3oOmYMmAQ0AAAAA AAAAaD1N00L23xAS0AAAAAAAAACAVguXevaxdVocAAAAAAAAAIBTT7gG0EIFNAAAAAAAAACg1ZRS vhYc9IAGAAAAAAAAALQnfwuOkL04aMEBAAAAAAAAAGg9WnAAAAAAAAAAADqErwVHyEMkoAEAAAAA AAAAreQvf6YHNAAAAAAAAACgPfkeP+h7FGHToySgAQAAAAAAAACtRwsOAAAAAAAAAEBnIwENAAAA AAAAAGglekADAAAAAAAAADqEv/kGPaABAAAAAAAAAJ2HBDQAAAAAAAAAoEOQgAYAAAAAAAAAdAgS 0AAAAAAAAACADkECGgAAAAAAAADQIUhAAwAAAAAAAAA6hK0tFxcUFLRXHAAAAAAAAACAztGnT592 HE0pFe5QmxLQSUlJbbkcAAAAAAAAAHAKowUHAAAAAAAAAKD1NE3TNC3koTZVQAMAAAAAAAAAergI LTiogAYAAAAAAAAAtJI/+xwyDU0CGgAAAAAAAADQerTgAAAAAAAAAAB0CFpwAAAAAAAAAADan7/2 OWQRNAloAAAAAAAAAEArKaV8LTjoAQ0AAAAAAAAA6DwkoAEAAAAAAAAAreSrffbVQTc9SgIaAAAA AAAAANB6vhYcIQ+RgAYAAAAAAAAAtJK/9XPIHtC2zg0GAAAAAAAAAHBKCZl69iEBDQAAAAAAAABo pcDmG00z0bTgAAAAAAAAAAB0CCqgAQAAAAAAAACtFLkHNBXQAAAAAAAAAIAOQQIaAAAAAAAAANBK /h7Qgc2g/aLcgiNyeTbQZUX+uQIAAAAAAAAg0U1AK6XKa7y3vrB3Rf6xaqtedHLQ6CYszW04zhnU 67mbByS4bOSgAQAAAAAA0GNFLjKOWgJaKfXF7qrcJ7Y442x9+ybFuWN0nSweugfLUpXVdZ8UHM/+ 6fr37x49KTuWHDQAAAAAAAB6Jk3TfKln/xeBopOAVkqVVXlz/7ClV6rbHRt/uMJbdazGogAa3YSu SazDyEhJqYqpyP3Dlt2/nZQYSx00AAAAAAAAECwKCWillFJq/gt7Y9w2scXuKqrr/BiAtrBEKmrM ihrztMTYGHf97S/uefWuwUI/aAAAAAAAAKCxqFVAr9h5LCktvuC4JyoBAO2i8LinT3zsRztKlVJk nwEAAAAAANADhWz97Be1BHS1p16v1YW+G+jmymv1ao8n8o8ZAAAAAAAA0DNFpwWH7z/VdUrI2qGb q6kXpSwRoQgaAAAAAAAACBK1CmhRYplRmRxoT6alRDXzhwYAAAAAAABAzxSdBLSIiCViRW1yoD3x SQYAAAAAAECPF7JGM3oJaCX038Apgk8yAAAAAAAAejBfZ9ouloCmAhqnDD7JAAAAAAAA6MEi9Kcl AQ20GZ9kAAAAAAAA9FSapvkS0P4vAkUvAS00LgAAAAAAAACA7k0p5WvBYVkh6jS7bQV0/R4pPSYJ OeJytFtIXZyqlWNbRR8syYkdO1Q7TtSB6qQkT/RBkpwU7UiogAYAAAAAAECPFqEFh96ZcTSi2vSK GzGldNn8dbMcetvGafPLkorNcmS3WB0/l+G677n55kOpiR09VKSjnbjeyC/dueCZ+erh9KQ2jdN+ ywEAAAAAAADQRPQS0FbbXr6Un2rzOG196RNuvFq9PXV2TKdM1y5b15Khwh7t3PVGejnq6q0y09W2 QdpvOQAAAAAAAEBPpWmarwtHU922BUdgAjq6fJF0QhZSO1Fs2/aJIg8V+WinrTcyq+7x+758vO3j tMtyov4hBAAAAAAAALqk6CWg29i4wJ+AViJSJ8fyxDZYHGVSVSyWLvZkiesnUiIVh8VbL7pbYgeK 0ykiYhVLyX5JGCHeQ1JTJsom9iSJ6yc2fzG4JfWHpapEvPWiO8WRJrFpomsiIqpWSreKfajElEn5 EbFniXVIvMNE6qV4vWijxR3TJFBTag9J9XExPSKG2JMkNlPsvm33hT1EnFVSeURMU3S3uPuLy/3N tTX7paZcTCW2BEnIarT2k5io2aFaOFG9lG5rst7w2xUk8s4H7+0QSUyIOHidHMsTfZAkJTXE6i2R yiLx1IjYxJEicX3ECLindYVSfUy8HjHcEpMu7l6ihVxOq9CCAwAAAAAAAD1YV+0B3ZaOB4EV0Jpz wfPzj/2HNfnMnM8Wfk+tuCH/0VG3JuYnJCe8/MTVZR/Nr1uY+/y0Y26vEkuMpMzPV9y8ZOzRi749 7et35qsPr/3qkZG3Ju/W6i2xRCwl1Xsyh/V968krS5fPr1142aofJU71HBCvEktEd9334vyjd8vg YQNX/3N+xa8H/fTZW9ZfHSeu7A/fnb/lijh7cJyWVO2ZMGP4R89/p2LFfLXs+j2/H/2jzALDN1pD 2Co7u++iF7+rVsyveTP3xXNKE+tNsUQsUyp2nX7e2E9eus770Xd3PzH5wZEljsBy3ZZP1MxQLZ5I c98VvN6I29X41czOB+3tg2kJkQfXnAuen69+l5bku2t1hxKSXU//du6hD+arZdfm/XLAvLi9msdq 2Jzq3f1zshY/dXXFR98r/et5b12nD6srDbWctn0aAQAAAAAAgJ7H33wjZBeObtuCw3dtQwJaRCR5 0hnvT5aF7x1anJjwHxcOe/bJjJ/psftXHX1gQ9Vll6Xd/JMzNt+69/ESTZSIGJNvuuDi/tq/Pi56 T3POPXv4s8+l9r1z0wNFSaIqB86cuvHefglHK15+93B5cvw1uWd+Om77hT8ofs/r8k0U03fAWw8N 6F9UtWynufAfOysv6f/ElIr7Hj320S7TG7wic9Tlc9Z/r9fR7SXPLixzZMTmTh322O9ii287/Ep5 Q9iugcPf+3VK/sdF93xszMrNuPGeOd7CL2/dZYhVdvb3LlpxRUL9obKX3qmz9z/t57/qVykixSH3 LeJEkYdq+UTKWvzMTj1wvWbE7QoSeeeD9naX4Yk8uBbwAVC1ydnZnz6WM/xo+YvvHy52uS6fPfbV Semp87/+Y3m8WJWDZ03bcE+mbd/xlxaVq8yk+fNmn9Nn1fDHzeDltPoDSQsOAAAAAAAA9FT+8ueQ ddCnRAsO3yvZevj7+f97SIlWtDEu572zkkpeyJuzpK5e5K97zH0/Tz+/7/7HixsuzBhoPnjvjgfz LSXy83cz1vwu877bY599UAod9l/d3i/hcOHM/yxYVSUi2sOfZuUtGP74hZ8sXyz1SkQkfky/ome3 nv5+bY3v2wKPeGr+vbF8bW2TII24C3N7ycFDM+8//JVXRFRSTu/9/51+/mlHXilrCNs5OPWLX391 /XqvJfLU2qqNT2XPnuiMybes1JQnrkjwbNs//sGj2+pFtIJnrx+6+nK3JaH2LdJEyh5pqMhHg/bc Ovh1+ZqA9WqRtyvULQu38wVN9raZwVXAZ0C3fvDjnOF7D078r8INtSIiv1ictuwPA35z896/PSZl Lscjd2S6v96fc//Rrzwi2uGFt438KHfcFa/s/FPj5bQeFdAAAAAAAADowbpkC4629N8IasHhqz/d VbiwQIklYqq9u6pFSl9aU19viVhSWVheKLpD++bkmnUHntxpKd/R/OL7Vntso7KmOJUrM2NOvHz6 RtGaCt/JqmDd4acKZMiMxL5yYt7igp99WFtjNo4kZJCe+icXbEi6e/tXZYekbIeUbHIpUxPNJgFh Hy74301eyxKxpL64Ylut2AxNsyRjZFaO1L7015JttSKWiGl+tujAKivMXBEnijzUyU3UeL3Nb1fQ K/zON93b5gc/8UGy90r+Tpasfe2T7Uc2O8s2O8s2y7bVv//CjBuVNtRQ8QMy57g8i14r2V7XsMA1 f99/x19Kt3q0Zm7fSb0AAAAAAACAnkrTtJD9N+TUqYAWkeq6crPha8sUEc/hauX7VllKNT5575bq Mn/SUJlbNlbK9Nhh8bKqV0K6VL2622v6Y6uv+3SfKcPjexvH9pgiInKkfG9d0+rgkMupqynK7z2s 97fHDJ40MmPKqF5jUzQRT6OwiysL6v3LUVbDF1pGlkukYvl+yz+sVVn1WZFMl5OdKPJQJztRo/U6 W7JdgZeE33mpDd7blg6uJCYlqa/IiJ/Oq/pp0K4kJxplyX3j46Rq9UHL/88w9UVlT78dYjmtRwU0 AAAAAAAAeipN03wV0P4vAnXbHtD+hVgnyrhV48po/zvSuGG072uzTiyHfwjlsUQMm6b7xlIer1gn dkbVK1NEs+n+0TxmfWBqNbCENljlVQu+9WZubH1R5cJPjj/25Nfr6xzv/6ZfQyS+sC3LDKzDbYhT 8yXSldcS60SVurfesgIW1dKJIg91shMFrbcF2+UXeedD7G3EwRs9hdLQxPzoqa9/sc84ca0pngox 7VtrtGRDF7HM+oAFmsVSUynOLLHpEW9fi1EBDQAAAAAAgJ5KKRWhBUdUK6DbnvJTjVOHQQlo/6Em Jw8YWZ/4lq1Y10VErNKROfFiVe4sU7XH6o9KyuQ+ZfqeFEsTESWq/Iz+hpR6j3gaZ70DFyKhM5iO vpm/yY3d+Ure+NfqqpSImK7+CZr/5KZhfxOnOrzfI5IwO7X0zT0poomIqTs8UzNECk92oshDndxE QettZrtCJaDD7bxYWuBpIs0NHjBsfan3iBiJVfvWbk4zdU1ExCrKGR93hmFsNLXjR7x1Ej8luUyO JosmIpYjJfaxmwbvXlj26D7VPgloKqABAAAAAADQg/n6b4RMQ0evB7Rq80vCfyvhvxUREdf0nNvT d2qVh6QyPzY16aHZDmt7+doKqdlXubxSm35jxumenVJVIBU7Txs7+Af9ZNfa6gOeUJM2DOjVao+K 1ww6ZE9MShZrT96O6uoSqT0sFTvGndmnj4jmKRHTCrsKEVFydGv5JnHdOD92WM0uqTooFflTLh17 thF66yJPFHmok5ooaL3Nb1eTpYXb+aZb0fLB6wur3j4qE2/Ovti2Q6oKpGp3bHr667+d8cDkWMuS sp3la7wxV3/XOahmt1QXSOWuyXPH3zm7t83bzO076U8jAAAAAAAA0PP4uz+HbAPdbVtw+ARWQKuT qIBWlUm/en7ulCW7t+spl87NHCrVv3m69IBXVEXlz18ou/jusatfTn3+wyPl6ZnfvSC919Hi6/9Z W2eJaI1LlUVENK+piSv91ksOxK+TxYcaralmf9VHlfpV/3X6w8/tzDPTJs+effNQwyv2qeclnFuo PqxsErZ1IptpiefQsR8tSl9x2bSNz+9/aU2pMWTQzVOd24/LkFCV481MFHGok5qoyXojbleQiDsv RvDeNnMvAuvHa2se+VPJd345bNErvd744MAOlfKtK/qPLDt21es1NZZIcdk9r1R9ceP0L5/e8+Ka UnNg9p2zYouW5T9/QImKdPtOAi04AAAAAAAAgFC6bQW0HiciYthFiSiH6CJG3ImjmthiRNzfzKLH i4gYhr9YdfPL2y583ew3M+feS3rLtuI77tpx/3ZLKRGldr2za+T9hUuq066+YcLdZyZs//DAmbfv X3rcd2GMGCJGbEAkKn/VsX8dc199+7R7xrn0xkFax8tu//nBV4vT77737GduHT54f+GEm3fe++/6 tAsn3TUsRgsOW0TcoonYnKJELPPjP28/488l65195t8w9toB1u8e2PGT7ZYy3E13o5mJIg91MhM1 WW/E7QpVJhx250PtbTODf/NBUkfW7Btzz8H/OxQ/+8oJ91/ex7uu8LIf7vtHiRIloqxNr+0Y/XDR ZzGZ82+ZcPv4mOWv75r2RFmx1cztowIaAAAAAAAAaJa/80bIFhwhnkvYctXV1a24yrIs0zST5n4m MWmtnrrVjF7OtW+Msj++YdI7ytv50/dg7bzzhiz488T/Ob45eYHneNtHa6O6o8eXTDUMQ9ej9y86 AAAAAAAAQIu53e5WX7tv377Y2FhN015//fXc3FzLaugP4H8a4fLly2+77TZd13Vdj14LDqDVrHLx 1jgNETFEPM2eDgAAAAAAACAqSECj+7H30m+7LOfOLCneapB+BgAAAAAAALqsntcxwNc82maPdhw9 T/vtvGvouP+5NtPaWnTb36qr2j4cAAAAAAAAgNaK3AO6x1VAm8XFk+cURzuKnqgdd758XX7snHYZ CQAAAAAAAECbaJrm/6JpDrrnVUADAAAAAAAAADoFCWgAAAAAAAAAQIcgAQ0AAAAAAAAA6BAkoAEA AAAAAAAAHaLHPYQQAAAAAAAAANCOmj570C9qFdBupyESNiyg+1CxTiPaMQAAAAAAAADR4c8+h0xD RycBrWna0EyXrjxRmR1oR7ryDO3n0jQt2oEAAAAAAAAAUaAFaHo0CgloXxxXzkzVVV3nzw60L13V XTkzVU58sAEAAAAAAICeRikVrgtH1Cqgb7kgfXAfQ8zqqAQAtA+zemhf2y0XpJN9BgAAAAAAAJqK WgLa7bT9/RfDhiQWSmW+eCtEWVGJBGgNZYmnXCrzhyQVvnH/UFeMjQQ0AAAAAAAAeqxw/TdExNbJ ociJTgW6rvdLj1n59Kw//j3/7VUHdhfsrqn1dn4wQCu4nLbsvvGXzRxw1xWD3E67rusRfsYAAAAA AACAU1u4/hsSlQS0nMhBG4YR69IWXDf83muHRQgR6IJ8GWdd18k+AwAAAAAAAOFEJwEtAXXQmqb5 ss/koNFd+D69kZ/vCQAAAAAAAPQQvvxYyARv1BLQEpDFE7LP6G78SWeyzwAAAAAAAEA40UxAC1k8 AAAAAAAAAOjmIpQX650ZBwAAAAAAAADgFBOhSy0JaAAAAAAAAABAh4hyCw4AAAAAAAAAQLdGCw4A AAAAAAAAQIegBQcAAAAAAAAAoLPRggMAAAAAAAAA0Hq04AAAAAAAAAAAdAhacAAAAAAAAAAAOhsJ aAAAAAAAAABAh6AHNAAAAAAAAACg9egBDQAAAAAAAADobCSgAQAAAAAAAAAdggQ0AAAAAAAAAKBD kIAGAAAAAAAAAHQIEtAAAAAAAAAAgA5BAhoAAAAAAAAA0CFsbbnY7Xa3VxwAAAAAAAAAgFMMFdAA AAAAAAAAgA5BAhoAAAAAAAAA0HqapmmaFvJQm1pwAAAAAAAAAAB6OKVUuENUQAMAAAAAAAAAOgQJ aAAAAAAAAABA69GCAwAAAAAAAADQIWjBAQAAAAAAAADobCSgAQAAAAAAAACtRwsOAAAAAAAAAECH oAUHAAAAAAAAAKCzkYAGAAAAAAAAAHQIEtAAAAAAAAAAgNZo2nxDKRXYD5oENAAAAAAAAADgJPjy zi6Xq7Ky0vetPxNdVVXlcrn8Z5KABgAAAAAAAAC0lGEYlmWJyKBBg/Lz80VE13V/1fO+fftGjx7t P5kENAAAAAAAAACgpdxut2maIjJq1CjTNDdt2lRZWamUqqioyMvLM01z7NixvjOVUlrTJh0AAAAA AAAAAIRkWVZhYaHdbrfb7Uqp7du379ixo6qqyu12jxo1Kicnx2azaZqm67qu6ySgAQAAAAAAAAAn obq6+vjx4w6Hw2az+fpvBP6v7wvDMDRNs0U7VAAAAAAAAABAd+J2uzVNq6io8Hg8drvdMAxp/ChC f1doKqABAAAAAAAAACdNKVVZWen1ekXE13DDMAybzeZwOPzn/D+QFfTxYRSjfQAAAABJRU5ErkJg gg== --001a113ecd606d2696051b9e8e5c-- From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: by yocto-www.yoctoproject.org (Postfix, from userid 118) id 65A06E009FD; Fri, 24 Jul 2015 06:06:40 -0700 (PDT) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on yocto-www.yoctoproject.org X-Spam-Level: X-Spam-Status: No, score=-6.9 required=5.0 tests=BAYES_00,RCVD_IN_DNSWL_HI autolearn=ham version=3.3.1 X-Spam-HAM-Report: * -5.0 RCVD_IN_DNSWL_HI RBL: Sender listed at http://www.dnswl.org/, high * trust * [134.134.136.65 listed in list.dnswl.org] * -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% * [score: 0.0000] Received: from mga03.intel.com (mga03.intel.com [134.134.136.65]) by yocto-www.yoctoproject.org (Postfix) with ESMTP id CBFD9E009B2 for ; Fri, 24 Jul 2015 06:06:38 -0700 (PDT) Received: from orsmga003.jf.intel.com ([10.7.209.27]) by orsmga103.jf.intel.com with ESMTP; 24 Jul 2015 06:06:38 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.15,538,1432623600"; d="png'150?scan'150,208,150";a="612133793" Received: from irsmsx154.ger.corp.intel.com ([163.33.192.96]) by orsmga003.jf.intel.com with ESMTP; 24 Jul 2015 06:06:35 -0700 Received: from irsmsx110.ger.corp.intel.com ([169.254.15.29]) by IRSMSX154.ger.corp.intel.com ([169.254.12.253]) with mapi id 14.03.0224.002; Fri, 24 Jul 2015 14:06:34 +0100 From: "Barros Pena, Belen" To: sujith h Thread-Topic: [Toaster] Usage of already cloned layers in toaster Thread-Index: AQHQxfb2MbKWRS2cgk2AvnWGaWcY553qhAEAgAATL4A= Date: Fri, 24 Jul 2015 13:06:33 +0000 Message-ID: References: In-Reply-To: Accept-Language: en-US X-MS-Has-Attach: yes X-MS-TNEF-Correlator: user-agent: Microsoft-MacOutlook/14.5.3.150624 x-originating-ip: [10.237.224.32] MIME-Version: 1.0 Cc: "toaster@yoctoproject.org" Subject: Re: Usage of already cloned layers in toaster X-BeenThere: toaster@yoctoproject.org X-Mailman-Version: 2.1.13 Precedence: list List-Id: Web based interface for BitBake List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Fri, 24 Jul 2015 13:06:40 -0000 X-Groupsio-MsgNum: 2380 Content-Language: en-US Content-Type: multipart/mixed; boundary="_002_D1D7F5DC609BBbelenbarrospenaintelcom_" --_002_D1D7F5DC609BBbelenbarrospenaintelcom_ Content-Type: text/plain; charset="iso-8859-1" Content-ID: <6C50DB2ABD15694B882FF081FB7FD387@intel.com> Content-Transfer-Encoding: quoted-printable On 24/07/2015 13:57, "sujith h" wrote: > >If you import your own versions of meta-oe and meta-ruby before meta-qt5 >you can also set the layer dependencies for your meta-qt5-local to your >imported layers using the Layer dependencies at the bottom of the import >layer page.=20 > > > >When I try to add a locally cloned meta-openembedded in my machine and >then > >click on "Import and add to project", nothing happens. The intention is >to add meta-oe layer from meta-openembedded. The webpage remains as it is. > >Attaching the screenshot for the same. That looks like a bug: when I type meta-oe on the layer name field, Toaster stops me from continuing because a layer with that name already exists (see screenshot attached). That mechanism should be also triggered in your case, unless you are using the Yocto Project Local release. Can you give me some extra details, so I can try to reproduce? * Which version of Yocto Project you are using (fido or master)? * Which release you have selected for your project? * If you click the "view all compatible layers" link and in that page you search for meta-oe, do you get any results? Thanks!! Bel=E9n > --_002_D1D7F5DC609BBbelenbarrospenaintelcom_ Content-Type: image/png; name="meta-oe-already-exists.png" Content-Description: meta-oe-already-exists.png Content-Disposition: attachment; filename="meta-oe-already-exists.png"; size=104907; creation-date="Fri, 24 Jul 2015 13:06:33 GMT"; modification-date="Fri, 24 Jul 2015 13:06:33 GMT" Content-ID: Content-Transfer-Encoding: base64 iVBORw0KGgoAAAANSUhEUgAABXEAAAMHCAYAAAB/uhTTAAAWcWlDQ1BJQ0MgUHJvZmlsZQAAWIWV mAdUFE+TwHs2sssuacl5CUvOOeeccxCBZck5JwOIigpKkiSgAgZAFJAkgkowgEhGgiJKEBFFxYAg qNzq/8T77u57967fm+3f1PbU1Ex1dXUNAOx95MjIUBgDAGHhsdH2Jvr8rm7u/OgXAAVoAAPQABgy JSZSz9bWEvzb9nUSQL/6calfuv79uP+1Mfr6xVAAgGyp7OMbQwmjcjP1GKBERscCAE+lygUTYiN/ 8UUqM0dTDaRy2y8O+IcHfrHPPzz3e4yjvQGVvwBAgyOTowMAwP26F388JYCqB8cPAIop3DcoHAAm RSprUwLJvgCwU/8DkmFhEb+4nMqiPv9FT8C/6PTZ1UkmB+zyP8/yu9EYBsVEhpKT/p+v4/9uYaFx f+4hQD1wgdGm9tReiPrOqkMiLHY53Mfa5g8H+f4e/5sD40yd/jAlxsD9D/uSDS3+cFyIk94fJkf/ vTYo1szxD0dH2O/q94sxctjV72dmuWtDqPUu+wcZm/3h5EBHlz8cH+Rs/YdjQhws/o4x2JVHx9nv 2uwfbbz7jGExf22jkP/aEBvoaPrXNtddG3z9DI125eFOu+MjY/V3dUaG2u6O9ws12ZXHxDvsXhtL nWB/OJhsbvtXj+3u+wGWwAgYAn5gAIJAOPADYYBMPTOknsWASBBKPUuK9Uv8NeeAQURkUnRQQGAs vx41gvz4zcIp0pL88rJySgD8isd/3P3Z/necQazDf2VR1OvV1QCAnf0rI0sA0C5JDYOrf2VCygDQ lgLQsUiJi47/R4b49YMEWEAPmAEH4AWCQBRIAXmgTI17Xar15sAGOAI34AkoIJBqfzRIAPvBIZAO MkEOKAAl4Dy4AKrBNdAIboBboBs8AI/ACJgAM2AOLIG3YA18BdsQBKEhPESAOCA+SBiSgOQhVUgb MoIsIXvIDfKGAqBwKA7aDx2GMqE8qASqgGqg69BNqBt6CI1CT6B5aAX6BG3B4DAcjBnGAyPBZGCq MD2YBcwRthcWAIuCJcOOwLJgxbBK2FVYK6wb9gg2AZuDvYWtwwGcFs4KJ8Kl4KpwA7gN3B3uD4+G H4RnwAvhlfA6eDu8Fz4On4Ovwr8hUAgCgh8hhdBAmCKcEBREFOIg4iSiBFGNaEXcQ4wj5hFriJ9I PJIbKYFUR5ohXZEByARkOrIQeRnZgryPnEAuIb+iUChWlAhKBWWKckMFo/ahTqLOoupRXahR1CJq HY1Gc6Al0FpoGzQZHYtOR59BX0V3osfQS+hNGloaPhp5GmMad5pwmjSaQporNHdoxmiWabYxDBhh jDrGBuOLScJkYy5i2jHDmCXMNpYRK4LVwjpig7GHsMXYOux97DPsZ1paWgFaNVo72iDaVNpi2gba Ptp52m84Jpw4zgDngYvDZeGqcF24J7jPeDyehNfFu+Nj8Vn4Gvxd/HP8Jh2BTprOjM6XLoWulK6V bozuPT2GXphej96TPpm+kL6Jfph+lQHDQGIwYCAzHGQoZbjJMMWwzkhglGO0YQxjPMl4hfEh42sm NBOJyYjJl+kI0wWmu0yLBDhBkGBAoBAOEy4S7hOWmFHMIsxmzMHMmczXmIeY11iYWBRZnFkSWUpZ brPMscJZSaxmrKGs2ayNrJOsW2w8bHpsfmwn2OrYxtg22LnYddn92DPY69kn2Lc4+DmMOEI4cjlu cMxyIjjFOe04EzjPcd7nXOVi5tLgonBlcDVyPeWGcYtz23Pv477APcC9zsPLY8ITyXOG5y7PKi8r ry5vMG8+7x3eFT4CnzZfEF8+XyffG34Wfj3+UP5i/nv8a0RuoikxjlhBHCJuC4gIOAmkCdQLzApi BVUF/QXzBXsE14T4hKyE9gvVCj0VxgirCgcKFwn3Cm+QREgupGOkG6TXIuwiZiLJIrUiz0Txojqi UaKVoo/FUGKqYiFiZ8VGxGHiSuKB4qXiwxIwCWWJIImzEqOSSEk1yXDJSskpKZyUnlS8VK3UvDSr tKV0mvQN6fcyQjLuMrkyvTI/ZZVkQ2Uvys7IMcmZy6XJtct9kheXp8iXyj9WwCsYK6QotCl8VJRQ 9FM8pzitRFCyUjqm1KP0Q1lFOVq5TnlFRUjFW6VMZUqVWdVW9aRqnxpSTV8tRe2W2jd1ZfVY9Ub1 DxpSGiEaVzRea4po+mle1FzUEtAia1VozWnza3trl2vP6RB1yDqVOgu6grq+upd1l/XE9IL1ruq9 15fVj9Zv0d8wUDc4YNBlCDc0McwwHDJiMnIyKjF6bixgHGBca7xmomSyz6TLFGlqYZprOmXGY0Yx qzFbM1cxP2B+zwJn4WBRYrFgKW4ZbdluBbMytzpt9cxa2Drc+oYNsDGzOW0zaytiG2XbYYeys7Ur tXtlL2e/377XgeDg5XDF4aujvmO244yTqFOcU48zvbOHc43zhouhS57LnKuM6wHXR26cbkFube5o d2f3y+7re4z2FOxZ8lDySPeY3CuyN3HvQ09Oz1DP2170XmSvJm+kt4v3Fe/vZBtyJXndx8ynzGeN YkAporz11fXN913x0/LL81v21/LP838doBVwOmAlUCewMHA1yCCoJOhjsGnw+eCNEJuQqpCdUJfQ +jCaMO+wm+FM4SHh9yJ4IxIjRiMlItMj56LUowqi1qItoi/HQDF7Y9pimakbn4E40bijcfPx2vGl 8ZsJzglNiYyJ4YkDSeJJJ5KWk42TL+1D7KPs69lP3H9o//wBvQMVB6GDPgd7UgRTjqQspZqkVh/C Hgo5NJgmm5aX9uWwy+H2IzxHUo8sHjU5WptOlx6dPnVM49j544jjQceHTiicOHPiZ4ZvRn+mbGZh 5veTlJP9p+ROFZ/ayfLPGspWzj6Xg8oJz5nM1cmtzmPMS85bPG11ujWfPz8j/0uBV8HDQsXC80XY oriiuWLL4rYzQmdyznwvCSyZKNUvrS/jLjtRtnHW9+zYOd1zded5zmee3yoPKp+uMKlorSRVFl5A XYi/8Oqi88XeS6qXai5zXs68/KMqvGqu2r76Xo1KTc0V7ivZtbDauNqVqx5XR64ZXmurk6qrqGet z2wADXENb657X59stGjsaVJtqmsWbi5rIbRktEKtSa1rNwJvzLW5tY3eNL/Z067R3tIh3VF1i3ir 9DbL7ew72DtH7ux0Jneud0V2rXYHdC/2ePXM3HW9+/ie3b2h+xb3+x4YP7jbq9fb2afVd+uh+sOb /ar9Nx4pP2odUBpoGVQabBlSHmodVhluG1EbaR/VHL0zpjPWPW44/uCx2eNHE9YTo5NOk9NTHlNz 077Tr5+EPvn4NP7p9kzqM+SzjFmG2cLn3M8rX4i9qJ9Tnrs9bzg/sOCwMLNIWXz7Mubl96Ujr/Cv Cpf5lmtey7++tWK8MvJmz5ult5Fvt1fT3zG+K3sv+r75g+6HgTXXtaWP0R93Pp38zPG56ovil551 2/XnX8O+bm9kbHJsVn9T/da75bK1vJ3wHf29+IfYj/afFj+f7YTt7ESSo8m/twJw6gHz9wfgUxUA eDcACCMAYOn+2S//Z4NTNx8wau8MSUNvYWfhnggxJBr5EbWCnqJ5gZnHbuCQeBKdBX0sQznjFIGW WZslmbWebZlDnJPMVcQ9zIvkU+L3I2YJNAqOCb0nwUToROnFaKkr3zeJd5LzUuPSd2VaZC/K5cgf UAhWdFbSVRZXIah8V11SG1Bv1ijTPKwVrG2vo60rqcenz2rAYIgxQhj9MN4wWTN9bTZnPm0xZHnf 6pZ1k8012yt2NfZXHK451jtdd25yaXJtdmt2b9rT6HF9b71nvVejdxu522eA8sT3ld8X/51A2iDW YIEQiVClMJ1wswinSL+ohOhTMZdjO+Om4z8mYpL4k1X2We+nHEg8mJFSlFp+qCLt/OHiI9lH09P3 HYs67n/CPcM6U++k0inRLO5sphzaXEwe7WmGfPYCYqFEkWKx1hmjEqtSp7I9ZynnQs7HlqdW5FRW XGi52H/pxeUv1TQ13FdkavWvOl0LqEusP95QeL2ysbapqbm9pbP1/o2HbYM3R9snOqZvzdx+cedl 59uu9R74XZZ7ovc1H9j2UvoSHmb0lz2qH+geHB2aG343sj66NfZ9fPvx5sT65Mepd9TZtvj0+cz0 s7HZwed9L+7PPZjvXxhbnH25srS+DL3GrbC/EXwrvar2zuC92QeLNcOP8p/YPn363PvlzHrIV80N uo0Xm/XfUrfstonbH793/8j96b0ju7PzL/6XRvIjP1P9/4ZmAfORFosTxhvRBdJnM/QwfiZIMXux nGF9zI7nsOI8ytXF/ZVXgs+L/ySxWWBS8IswPYlbhCRKFGMXpxXflFiQHJJql74gc1I2Xs5b3kxB VpFN8YfSS+V+lXrVfLVkdU8NfU2SFo3WW+1RnTbdC3q5+mkGCYahRj7GziYWptpmcuaCFiyWaMtN qzfWz2xGbfvseuzvOHQ4tjm1ODe41LpedqtwL9mT73Fq7zHPNK8U7xRymk8G5bRvmV+Vf0NAW2BX UF/wcMhE6LOwl+GrEZtRqGi2GMlY/TjX+PCEw4lFSVeTO/eN7X95YD0Floo9RJeGO4w6/PPIl6Mr 6bPHRo/fP9GWUZt57mTOqbSshOywnIDcgLzg09H5yQWHCzOLTheXnqksqSltKGs5e+tcz/lH5ZMV LyvXL6IusV8Wr9Kstq7xuhJZm3o151p5XX397Yb+6xONL5peN6+1bLbutKFu4tuZOzhv8d8m3ZHs VOjS6jbvcbsbei/l/ukHVb3tfYMP5/o/DSAGWYdIw0oj+qOWYw7jLo/dJzwmPae8pr2feD8lz5Cf kWfJz8kvKHOB85EL+xczXpYs1b7qWB54Pbvy7s33Vdw7zvekD9JrMh9FqDNg5/P8l+718q8HNzw2 1b+xf/u6Nb7d8P3Uj+CfxjuC/83//z7+hwhYZk2WGGr8f6DGP4WrlPsxL55Pkz+EWCRwR3BB6CeJ UYQoKi4mJi4iQZTklGKQxsgAmc+yy3LT8n0KrYqXlQqUD6tEqe5Vs1BX0RDUpNPc1FrUHtHp0m3S q9YvNyg1LDDKMj5mkmqaaBZpHmDhaeloZWatbaNsK2MnZk9yEHIUcCI687lwu3K4sboz7cF5oPdC e394fvPa8N4kb1NgvjR+9P6sAdyBxCBSsHiITKh8mFK4WoROpEmUXbRXTGRsalxufEXC9cSupOHk 2X1v928ehKVgU3GHMGkQNYu+PPL4aE96/bGzxzNOxGWQM61Oqp4SzKLP+pH9Lmch91ne9Omp/OmC J4XTRdPFU2cmSx6XjpeNnh0+N3h+qHy0YrJylprp1i5tVSGq8TUsV3hrSVelrynWqdfrNBhcN2w0 ajJs1m/RbdW6od6mclOhXaZD4hbptsAd3k6uLq5u3h6hu1L3VO7rP7DqdenzeRjaH/8oZeD4YO5Q 8fC5kYrRyrHy8bLHRRO5k5lTR6YPPEl4GjET+Mx71u25wwvbObt5lwWfxaiXaUsFr6qXO14Prsy9 +bSKeMf8XuiD/JrWR8NPxp+Nvxis63zV2FDelPsmsUXa5v/O8YPwE7+D+uX/f76b/Gooak15kZon nI4BYJkLwDkNAEhYAHB0ANjiAXBUAzD9bABTUAAw2Qu7+QOiFp4YwADYARFIABVqfWwHvEAESKHW lJWgBTwEs+AzhIWIkDrkCEVAGVAV9ABagqFgojBLaq1XTK3vVuEccFN4Mrwe/hohRK3ULiJeI6Wp tVgPih7ljWpC06C90R007DSJNE8xOpgqap10EPuO1ot2FGeIu4EXx5+jY6E7RU9Df5QByXCMEcd4 momHqYagQuhldmFeZklipWUtZ1NhG2EP5cBy1HJac37hKuM24f7MU85rxbvFV8XvREQSWwWCBYmC T4UKhO1JBNKESImot5iI2DvxJokkSR0plNSwdKlMoKyqHK3cC/lWhRzFUCVLZXkVXlWCGp06gwab JlFLRltHx0E3WO+IfoVBt+GiMdpE3NTCLMj8qEW5ZYfVtPWGLYedlr2fQ7Zjh9Nb6ly2cUtzb96z tJfV09grwbuWPEfh8HXwy/UfDSQEuQaXh6yGaYRnRSxHGUVXxeLjEuJfJjom9e7T2t96UD6l4ZBc WuMRhaPXj0kdv5zBm1l8ipCVm8OYm3+aM7+yUKqo44xVyWJZyjnB8yMVRy/oXYJfflidd8Xrqmwd vP7p9eam3JaoG3Y3ZTtoby3caelK73G9J/kA1jvzsPVRwWD8sPuo/rjshOiU/BOnmeLZ7bn4he9L x16zvbn6zvjDy0/H1mU2nm1l/TD8vX788T/bb/8rU/1vCzxBGDgAskA5aAIPwAxYg9AQL6QC2UIh UDp0AeqG5mAQTBBmDAuB5cE6YK/gBLg+PA5+Bf4SQUSQEZcQq0hFZApyEMWDikDdQ3Oj49Hj1Fo6 n+YbxhvTj1XBXqbloD2Fg+OScR/xQfh5uj10U/TO9FMMexgWGEMYN5iOElgJNczazOMsQSw7rEVs cmyDVO/TcTRyunLBuOq4PXjwPJ280XzCfNP8GUQt4ieBakGyEI/QjHApyVNESOStaItYqrilBJvE omSdVJK0sQyzzJJsm1yWvJ+CriK34rbSrPJdaj6rUCtRL9Wo1KzTuk1dz17p7uhzGagbehgdMq4x GTX9Zs5roWPpZXXA+qzNHdsFe4yDvKOn0ynnOy6f3cTcffaUeox7Yr30vBPJ133e+or6BfjXBLwL Ugw+GNIfxhEeEtEVxREdHzMVpxl/MZE+6UDy+/3kA9MpdqmDaZaHB4/apo8dtz8xmml9sj/LNLs3 1yxvKN+p4HlRSPFWycky4tmO827lPytrL3peZqt6XFNQ636NWLfacLMxo9mzVbENf3O5o/N2fqdf t+JdcG/wQVlfWL/uANvg2vDAaO141kT8VMCTgJnk2aoXbxf0XlYuY1fi3i69d18b+2yzPrLpvPXi R9i/+P/fx//z3/Ev8Dv+w3/H/31q/CNhIjALWCSsCNYJewNnhRvBE+C18AUED8IdUYJ4hiQiA5AN yO8oc1Qp6gPaCH0WvUnjRNOCYcPsxyxirbDttKK0xTga6gxYxXvhH9NZ0j2g16fvZtBneMBoyTjB RGb6QDjITMdcziLP8oDVg/ULWza7JPsARzgngbODy4+bibuLJ5KXn3eE7xC/PP8rYqmAgyCd4COh TGErEiPpiUilaJiYmjhSfFTirGSQlIo0WvqJTJ3sUTlPeXUFDoUtxedKvcotKrWq1Wp16h0aA5rz Wls6rLpKeq76Bw2qDMeN4SYKphSzHPN2iwUrjLWcjbvtMbsb9iuOvE4uznkuI24M7g57Cj2mPTm9 9niXkZ9TBH2D/ZoDoEDboMrgjVCbsNoIbGRY1ESMfmxjvEhCeRJ3cul+7gOVKeKpLWkGhx8fDUz/ fjwng5jZcEor62GOc+6r04kFuMKLxdpnZkr3neU9d688opLvwuSlgir3GuEr61f76s43JDW6NKu0 crXBbq52TN3u7qzqTr/rdV+uF+ob6S8fiB4yGeEb/TY+OdE6VfLk0Ez4rM8Lr/mAxaSl08tNK9Or 4L3Emvunk196vm5/U9mO/3Hzl/9j/BXkf6cPCKcPAPL5zs5nEgDoPAB+5O7sbFfu7Py4QC02ngHQ FfrPt/jfuYYBgDwS7Im8yMPG2f/xTfw/AL2NXi99zVtGAAABnmlUWHRYTUw6Y29tLmFkb2JlLnht cAAAAAAAPHg6eG1wbWV0YSB4bWxuczp4PSJhZG9iZTpuczptZXRhLyIgeDp4bXB0az0iWE1QIENv cmUgNS40LjAiPgogICA8cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkv MDIvMjItcmRmLXN5bnRheC1ucyMiPgogICAgICA8cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0i IgogICAgICAgICAgICB4bWxuczpleGlmPSJodHRwOi8vbnMuYWRvYmUuY29tL2V4aWYvMS4wLyI+ CiAgICAgICAgIDxleGlmOlBpeGVsWERpbWVuc2lvbj4xMzkzPC9leGlmOlBpeGVsWERpbWVuc2lv bj4KICAgICAgICAgPGV4aWY6UGl4ZWxZRGltZW5zaW9uPjc3NTwvZXhpZjpQaXhlbFlEaW1lbnNp b24+CiAgICAgIDwvcmRmOkRlc2NyaXB0aW9uPgogICA8L3JkZjpSREY+CjwveDp4bXBtZXRhPgos Uxu6AABAAElEQVR4AezdCWAV1d338V/ICgkkrBK2hJ0gBBAUFAWUFnAtal2wxa11rXVp1Wr1aXne 1latrbbaVmvrUqyAPIoFlaVFAbWAorJJ2IQEQghrEsi+vv8zNze5Wdnh2nynJnPvLGfOfGbu0f5y 7pmQn/70pxViQgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEAg6gQ4dOiikvLy8IiQkRBUVFWKOA/cB nwPaAdoB2gHaAdoB2gHaAdoB2gHaAdoB2gHaAdoB2gHaAdqB4GkHfv/736sZFyR4LggNJA0kn0c+ j7QDtAO0A7QDtAO0A7QDtAO0A7QDtAO0A7QDtAO0A7QDge2A6xrs9cQNuj7CVAgBBBBAAAEEEEAA AQQQQAABBBBAAAEEEEBAf/jDH9QMBwQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIHgFHC9cpu5X25i XqGPl36id+b9y/MoKyvDhfuCzwXtA+0A7QDtAO0A7QDtAO0A7QDtAO0A7QDtAO0A7QDtAO3AKW0H 3MEZE9ce6lZUVKTnnn9JP/3fJ/T5yjXeB9NF24FjTzAWCWORcD8wJhHtAO0A7QDtAO0A7QDtAO0A 7QDtAO0A7QDtAO0A7QDtwMluB1yIG2I9Tn1dcd274ziVl5fLnZD7aWxyN777adas/pEd3DpXlpv8 5R2qzNrH8x+jvuWurIydu3T9LT9UUXGJJl4yXj+++3aVWk/csNDQRusVWK6r/5HWq3Z9eI8AAggg gAACCCCAAAIIIIAAAggggAACCAQKuDFxwwIXHM/XDYWygcdwIag/mA1c7l674NYfjIZamBo4+dcF Lqv92m1jxVv51t34EAFri+ZRatkyRsX7smzbEG/7iEZCZVfv+sr0h7qHc+6168t7BBBAAAEEEEAA AQQQQAABBBBAAAEEEECgPoEwFzwe78kFqB/Z+LIrPl+le+78vmqHsO54/gD35anTFR3dQpddNF6R kRFeVfwhrdtm1+492pm5W8XFxerQoZ06dTxNERER3v7+Muqrvy8c9q3Jzy9QVna2CguLavSWdfu7 wHXP3n02pEKxyux9VnaOUrdtV0lJqRtrQl06x3vHcyX56+XKLigo8Oq1a88eRbdooXirV7u2bbzy 3Xi6BLn1XRWWIYAAAggggAACCCCAAAIIIIAAAggggMCRCpyQnrj/en+xpvz6d15dhp0xSKNGjqgK QN1Cf/iakblLU6fNVGFxqfbu3a87brlBLgB1oe/yFZ/rlddmaEdGpjItyA1tFqoYC3s7W6h6waiR mnT15QoPC6sqK7Bc9/qzL1Zr3r8/UEbGLi/A3Z+VpUIb+9Y/5IGrg5vc+/LyCm9c3HJb9v7ij/Wf 5StUVmoPNrNevH/709Pq2T2hql4uCH719TfsIWif2jAMmcqzgLisrFSdO8WrW5dO+t711yl5YP8a 9fIOxC8EEEAAAQQQQAABBBBAAAEEEEAAAQQQQOAIBbyOqP4w83jOB56epNaxsd6Ysq6nrevlGli+ e+1+3vznu8ovsGBV5RqcfLq3zAWpz/zpRd374M+0ck2K9rghDixoDbVhDg7m5mnjpi36019f1Z33 Pez1mHXn7MpyvWRdIJttPWn/5xdP2vqH9O7897Vy7TptTdvu9bAtKCiU65XrfgJfFxUWulK8f0pL S5Rrx8nPL/S2ceW6yfWsXb9hk267+0ELl9/Q5i2pys3Ps8DZNxburt179cnnq3XX/Y/or6+87u3j P0/3xr1mjgP3AZ8D2gHaAdoB2gHaAdoB2gHaAdoB2gHaAdoB2gHaAdoB2oEjaQfctmEu+HQ3zvGa u9DTDS1w9RWX6oWXXlPKhs3Wu/UjXTjuAq83qwtD3bF279mrOe/OV4i9P2voYJ09fJhXj2lvzNIb b74jF+a2jWupa779LQ0fNsSGXIjWmi/X661/vmPzDfoyZYN+8fjv9PwffuOFxa7MfBvi4H9++aT1 wl3jHSOxW2cbpmGcenVPVIfT2qt5VJQt9zUUbntX1/CwcG9YhAce/X/KzjmoCd8Yo7tuu8keclbs BbSt4+K8euXl51s4/ITSrWdveXmZzhkxTBeP/4aS+va2gPiADR+x3Oo9R3kF+XrJgmtncNH4C5zx cfU9XteJco7vfY8nnsezHeV+4n7ifjp+/13C54nPE58nPk+0A7QDtAO0A7QDtAO0A7QDX/d2YFvG XoWUlJT4om8vbjx+vw4czNWNt92tXXv2K8GGGXj5+We8MW9dcOqC3D+9+Ipem/GW18v2d49PsSB3 iDZs2qxbf/igSm1IhY4Wuv7ml/+jHokJNSpVYL1mf/Hrp/X+hx97Qe3t35usG6672ttmxv/9U79/ /m9eOHv+eefokQfuUUxMdI3963vjxsT93p0/8sLYiZeM14/vvr3GZu7D/ts/vKA3Z79nvYYrdO2V 39Jdt99cZ9xbN4TDQz97zAuT27SOs4D5SXWO71gV4tYo1N44+MoOuuZQe+2xvS/Y+E/99vU1Cos6 9IgZpYWlGnjdj/WtPs2P7aDsjQACCCCAAAIIIIAAAggggAACCCCAAALHVeBXTz2rZse1xMrCXFDb qmWMvnvtt71eq1vtQWHvzV/orXUB7l4LTWe7XrjWG3bYkGQvwHUrp1sIW2wPFCu3EPfOW270Alz3 QDMXorqf0tJSrzftj++5TR07tPfGyX3LhmQ4cOCgV/bs93xltrHesz/64W1egOv2cfXxlxE49y+3 INvb362rWla5n1vhxr51ZbthHXr37K7bv3+DF+C68Xv9+7gyhtq5XH/dVdbjuFz79mdr7oL3q8r1 XtT65XJbF94e7wDXHaZF555qH1bqmTmDUluWm5vr/RRaaOstc8u9Hxv+90RUwlXkcKeSdXrq0Uf1 +JvrDncPtkMAAQQQQAABBBBAAAEEEEAAAQQQQOC/XmD/vv1q5kJINx3PuQtqXRh60fix6t6tqxd4 /mPGm17Y6o4zc9Y7OnAwzwtx3QPK3FRoPWxTbMxZF5S6oQiGW89ct22YPbzMhb1ucq9LLORt26aN 3APT3Prd1tM33R5+tm9/lrZt3+H1bk0ekKR2bdt4691D0lx93OQv53Dnbh93jHXrN3rHtSjZe0hb RER41YPO3DaufHccd84Tvnm+3Hr3ULTPPl/l7e/Wu3Lc5ObupZvvPFCiGavz9dn2vBrr/dsdy7w8 Oll3TvmlpkyZ4vt55BH94qahrkgNmvyT6uW2/pfWE/ryPlHeusB6ugUn7b39PcEFzaVlvmt10o4b cF0Cz9cF9Bs3btSSJUs0f/58LV261B6Sl3HyPBqo16l24fjVn+PA+wUXXLgfTuK/L2gf3e3Gv4+4 D7gP+BzQDtAO0A7QDtAO0A7QDjShdmBIcq/jPyauC0j9gUZkRIRu+O41+n+//q0yMndbz9SFuuzi 8Xpn3r+8sXAHDzxdZ54x2Ns+Ny9fRYVF3g3YrWtnGwO3hffaH4D6y3UPEnPlu3Fuy8tK1czGtM3K yrZxcZt5wapCQtWlU7y3r9uu9v7+ctzcha7+9d4Olb/cfm69m9x89559Xijrtu/VI9E7vn8/f3n+ 961atvSGUEhL36F9WVne/v7y/HP/cad+uk9rCk9T2Jo0/e7yLoprHlrv9v79jmxertKSshrlFVY2 cCUlhdYDN9w7D3/9a89LrddugQXTIWUh1qPZjSXc8Bg6+Qf2q8i2C42MVKsWLRosNz//gD3krsy2 i7btImpt5xv2IcxmDZ1nse2fZ/tXhEaqTauGj9PQ/oe7fPPmzZo1a5ZycnIq74jqWUJCgq6++mrF 2oP7Drc8tmPsncY+P9wf3B/cHw3/+4XPB58PPh98PmgHaAdoB2gHaAdoB77u7cCmrGKd+/omZbs8 ozpeqHrVv22UFl3bU61tOMzq+71Yu77MVKbr7ebiKbdj4NyWx/WKV0IrX8fH6v24X475fik7qJRV 2Yo/vZtiI4PH090wYS5QdCd4vOeucHcTjT53hJL69bbxbrdo1px52pK6zcLNbLdS11090W3mTa4H rgtC3eSGUCguLvF6tNaul+sh6Xq9FhYVqaIyWHTBbkRkhJrZcpdTuh6ztfer7707llte3+SWu/Lc 3JXvn/ILCr3zcufm6lu73FILll39Q+x/zZr59q/t6z57br9OsRFanZWjePvQhVceonZ5x/O9/xzc vKFy8776WFOnzVV6YcDWYXEacflkXZzcocZ+6Utn6u9z1yhwUylKQy69WZef2bHqvtr8r9f1xofr a2wXFtNLV995g/rFlOuLmb/TrDV2T7hp9XT972ob5iFqsH76kysVZU6le7/Q31+ao9Rc13pVTmEd deF11+vsXjHecTa8/ZymrozRHQ9fpfR3pulfX6Ta8aJ01cM/VXKLw7+/Xe/b119/3Rtmwh2pc+fO FmLHaNeuXcrOzlZaWppefvll3XjjjV6Q25Ajy09Mu4IrrrXbU94ffvvG54fPD58XPi+0A7QDtAO0 A7QDtAO0Aye/HfjZRzuVZQFuQ9O6fYXanVeq2IhmVTlKSEih3p6fpR82tJMtfzYiVrcNaFUjpzlu 17coU0/8aa/6XtZDl/VsEVCvk+930tutgix9d1G2bgk130EnyPcoclh3K1h2emL/sud64974nWtU aqHs1rTt+uc7870Q9oxBA71euK4SLhCNjW2l6BjfjfHV1jQdzM3z9aytXO+vp+9PD/KGXgi1kDTU xnJt26a1OnXsqPBwX2/OjZu+qhGwBv5Fwh3PBcH+qbpcXz3ccv/2bju3vos9mK3Cst5mIc30ZcoG b1e3jX87/2t3Y+3avcd6He/yqtm5ky/IDNzOlef+eOLmk4bE6eFzo/Tg2NMUHekC6BOd8HtVdym3 d/zax8u3h6H9+mVfgNu6z1BdMnGiRiZ3tTEOsrVs5rN69T8ZVfvlrpmpv3gBbpj6DL9EEydeouH9 bVuLTr+Y8yf9K9N3X2UufUl/9wLcGPUfPlqXXDJSfVqHqTR3s17/3T+01xqm4sKW6tq1tbyrZzlt fHxXJY8+W82dR/anevIPs7wAN6Zrsq9O/a2ndWmm5v79Sc1N9YXqoeW5tmyzpv7mN5rjBbhS6z7f UL/ow7+/XQ/cwADXaX3rW9/SDTfcoKFDfUNRuGV79+7VK6+8YsODHKjy8N9HzA/fu/b9x/sT/fmn fD6ffD5pZ2gHaAdoB2gHaAdoB2gHaAdoB05mO1BWXqEPtlteYdOWW5JUdN9AFf8ouWo+PjFGXVqG q0VYiLYfLAnIhWJ0w509lXNrTx24u7c+SfB9W3zBt+39bW55Ly/APWH3c2i5Flh4lF1qGdYJzg2D rvywZupr16u5XZMT5nsU+Z+7h8Jchdx0IubuQrhg85zhw3TWmUO0wsaIdQmie3DZtVdNrBpH1h3f 9Wo9Z/iZ2rwlTTn2oLJZs9/V9264zqtXmZXhTVZXNy7u2nXr9cmKL2xduXr26KEuneNteagNddBd 62xc3dVrU/TFqrUanHy6t39pZWjr7+3r7/HrP2dXtotWXX39dS6xB35FWQDttjm9X1+d1qGNhXdZ WvzRMk369kQLGk/z9da0fdwUZr123TT19Zm+G9w+qKPOGe7t7wxqH9OV63ZN6hDh7eevy4meewez X3WPs1szp67wVidP+okmJcf5thk+XBPO/ViP/ekdbZ47TRuH/Ui9wwv0gQW4rtftJT+aopHt7MFx bs/hIzXm86l6YuY6pafulCxYT12f7pV5yY8ese1cH2lp5MhL9fGLU/TOlvX6YKM06eY7da426rGH X5aGTtad3+5jFSxXSWmZlr4xx+vB22P0rbplQveqOo1Z97Yem7rc1s/VmAcvV0VYSyvZHtxmD23r OvQq3XzVUEVZGaU2hrI7Zt3zdUurl7tr9O6771b1wPVW2i/Xq9o9/C0w+HfrXJDrxsu9+OKLvU0P VT7ra3rjgYf74HAfcB9wH/A5oB2gHaAdoB2gHaAdoB2gHfhvbgdmrM/W/kJfR8IeL6a4273OdGty W81LPegt/95A3/Od3JvISBtmNNK3uY20YFOIOrZpIbfYTT63g1r05g79Mq1ES2zZqMgw3T86XuNP r8x0du/QC3Oy9OKBCq321jfTo+O6aXSvlqoo2a/5MzP0aGZ55bowW5eg0a326sfTc7zysud/pQVL W+ivN/awjOWAFs/eofu/KvG2v6pVpP7H8pu+sRXK/HCj7k8L0/8kS79YmCcltNFrV3R21fTVszBT T/5lrxKGtFLhuhzdki8l27fenxrf1r6RvU/j0n25310JrfTYFQmWNtl+u9L1lwbqnvrv9Xo0PUwP JJbr+18UVdYnSr/8Tm8lRuVp/mtb9FRpC83x6u3a2QItmmrn0r6dHhvf0d5na9EbO/XL9FLvPJPN 9pYh7XTrmI5WX8m6Zgbd/1+1KtnTpE7w5P8wXneVPcDMhboVIUo+vZ9GjjjTO7ILN11w6qZrrrzM G8/WBar/eGOW5rxnY+faOheQej8W4H65foONsfs7bzgFF7x9//rv2I3tu6uv+fa3PGQXwP7i8act yHVBoy9gdfu7Y+VaD98v123QXnuqm/+43tyq4CLGLBvewG3nAtzcPN8Dx2JbtdT3rr/O6l6uPfv2 6ZdPPq1tNuatC5T9dXNB38tTp+vfiz7yjtnfhpD45gWjvdf+ANd7U+uXZb1BMZVsXabNVpOoPhM1 aUBLe5BbiRdeltpcnc/R9SPdOMN2k6/YbvMW6tbDes7GD9eZbUosbLXhD9yPbduybWvvfHamu/Fk 3ZX0TdtSM6q2c2Wfc/E31DU+WcMSmnv7lRQUexuWlhR7x3YBrko2a6nLgFuP1I3jE2rUqXm/b2lS f/tY525SWoFtU+p+2bXucYmFwEMUZuGrewje4fJu27bNC2a9QgJ+/fWvf9XPfvYzLVq0KGCp7+Wq Vb4H19VZwQIEEEAAAQQQQAABBBBAAAEEEGjyAn9ds98z+NV5Hb3et64nrv/n5Qnu28zSxT1a6p2v DmhgOxddHslUosWvpGqcBbiyQHVmz0idVlSqyxZs1+zNLiPJ1l/+sV8/PCBd3zNas3uGS0XlGjdn p3WWK9Hymem6zALccZbLzLZ9ZfuOm7NVGw5WqGN0M1keayFLiIa3cp0W7Viv2bEswB3UMVJTE8I1 80CRkl9ab0eRcmzc35l78pRsAa51bdSoNnasGlOZVpVVaPKKHD0b5upq68vs2O/tsQDXOkQOjNZT Fk4/l3ZAb3xpCW+jdbeq5pdqZlaBzrIA153bzC7NrD6FumVBhnfUnP0VWnLAF577qlGhXXsqtCDP t2yVnfs4C3CTuzTXgoHNNSq0Qj/8Yq9WWf4czJPXE9eFmC5sPVFzB7BjZ6bn0MyGP7jumiu91y6E dcd0P+51bKtW+vEPb9OPHv5fFVkI9+vf/kHvL/5IA09PsqA2Qmnb0vXBko+VX1Bg49WGaeIl43T2 8KFe3V39R40crou+eb7m/muRMnfv1t0PPOoN2eB66LrAdb89aGzNl+vlHjo2dvRITfnp/d6+bjiG yAjfg76Wf/a5fvuH5xURHq7ln32hu269SSPOGqqLJ3zD6/37gfXEXbl2ne689yEb7/ds7yFmbpzc z1au1qo16ywADlFU8yj9+O7bFBUV6Z2XC3Eb8jV5szix/v7r6qFX/qpdn7279npr+pw1UCX2QQpc LxvnN2HUSEV9/H/as8N3R59x7YM6M6RC+3ZsUfqOXcras0fpezO1eX2qV473RyJ71X9QD727daNW v/Ws1r3fRQMGDFBS7+5K7HmO7rx7pMpLi1Vmwb77S0fg5B1/317rW2tTVoY+/WSpSt3D07z71AYD r4jUgRJ3lFxt3lGgpMqdB40e4vW+LT/C+3m33S+1pzvuuMMbD9ctd71uly9fXmOTwsJCb5zc1q1b 1/DyezM/Ofc1zjgHtlfcD9wP3A8n7r/n+Hzx+eLzxeeLdoB2gHaAdoB24PDbgd15JVqR6QJJ6acf Zno/NUIFexNtD0g6s2Nz3ftBkYbZ3E31fc68FZW/qtZvtyAyy3rfdonVv67q5u132QFLRF/K1lUL dyq7Y4Q+sX2eHd1Nt57RylufOOtLJae57naFSt3jCgzR5It6ql9UiMZt3WIhaKkiu3XTA9/bpVVP 79FlY3voqj72sPvtFuDa9ncNPE1PjW3v5XiX2pCUcXMKNPvLAxrudeGr0F092+ipSzvVzRfdodzU KlpLbu6u5pYD9nlrrQalSYu/018jOpjruRY+/9lFwjbOpnWq9NU9wXrI+p6FlOBt7/N39XZdMaeO S9RV/d36Us1+Yb0uS89XQUWshc++Yux3pafNLYuO897naYMFus7tt5Vuw+M36bkFxb4ewFXdAX1B VZX3EeZMx3s/dy5hJ/ID6IJZF2AePJirf8x4yw4XoqQ+PXS2haJucsf2H99t576yfubQwXryl4/o 2edf0rbtGVqxco0+X73W0H3bu22iW0Tru9deoe9cc4VXjvvl9g+xMPDh++/2wuC3bezdAgvZPv1i jT5b9WXVcbxxbq0eq9Z86Y1f2/G0Dt66iZdeqOdeeFX5+YX653v/tmXueM30xltzNPzMM7zjPPLg PYrveJpmvDVb2Qdy9c789+1b/xZE27H959q7Z3fd+4Pvq2/vXlXLjveFO9ryqrDshvS7++cH0t2n 18atTXRDSPjC9cDjlEVEVX4G3AemXHvXvKsXp33kC1mrCo5S65gwFVY+gMxtF3vWTfpRy3maOetj bc9O18qP3I9vh8Rh39bky5LdmB6et78Y/3ELsjPdR9emrZrz9lb/6jrzg94A4W7LGPXuHOH1mPaf 1+HO3bAJtae5c+fqsssuU7t27arC3NrbuP389WVe9746XH+2O/z/EOA+4z7j88LnhXaAdoB2gHaA doB2gHaAdoB2IPjbgZfWZqnQep82No3tFqOlGfka0yXaPbSq4XyhspDA6150wJeYPHpufPV+rbro gS7ZmpleopCYHnrxrlbauGaf/j4tQ0v2lGiq64hqnW4rKmLsuUaWdK4p1aA/r9WoFmGanBit39zQ Xa3DrR42VKUbUqCw1MoJaa6CymM9t263cr7abedloVmpbwiEBRsO6qwwd54WCF9QT4DrzqsyGL2q fZQX4Hrn4YJWS5r6uQDX5UI2WMBpbpG9qmjRSX/9YSutX71XU6fvqFF3r/3zyrNv+vf0BbwVFWFK jLc6feV7tpVfPdDLxb4u+A0JidZVd/TVqI2Zlu9t0Cfm8ly+r/6+evi29OpxioPbwPrv3LHzxI6J 6wJT1wP21X+8oZ3uYV82XX/d1VVj4fp7qLrlrmLuvQtDR5w5VAOS+mn2ewtsfFsbXzVjp/dV+tPa t7cxcBM17hujLQzu7Xarmtz+/unOW2/0tlny8XKtWv2lsrJzvPIjIsPVrUtnuYeqDR2SrHZtfWON uH2vufJbiomO1r/eX2w9UcvsgWnNvG1GjRzhL1YRNsTC7d+/XmcNG6IPPvyPtmxN1Z69+9SieXNv XN7kAafr0ou+qeZRUd55+P/F6grw1+9Uz/0nU7sere3BYlq9XRu25SmpZ/O69bUH01VNBSlVAW7X oZfoG8P7qFt8BzW33vAVFRv0pI1t6xvcwHrH2/AIbfqN152PXKiQwoPatm2LvvxsuT5evUWpK/5P L0bF6Y5vdrX9qkr3Xrj6hbes/CpB10v0yK2D7GFovgbKt6UNZWEfeBvFQdGtovTVJt/SULt/3FT7 /A71PjbW/lJTa0pNTZXrbev2dfdlfZN/v0OVz3rfBcYBB/c54j7gPuA+4HNAO0A7QDtAO0A7QDtA O0A78N/eDixI8z3QzN3rDU2X9GylOTaUwqU2P5SHv4yq7dwoBzbFWgDrJv/yyMjKuDLXxrt9cZ+e snVXtQrXpf2jddbGPP2wMlpJGNtP2X13aMEXuZqTWqJbbKxarTugBdf0seEQvCK9X165lcea3CbM xrL1rwvTOAuEI7tYGOR9+T5cfaOr6+Gvj3/u9tplwa//va8VDFVkZSDkgl5fcmhr8nbqkQbq7t/f q4Wdi/+9rzzfN+H9NXRz3/oiZVaOrlBhY/vOfilNV9swE4pspme7tNAbRfm6Ot23lz9wtj29BVXl ++t5iuadOnfyOlf6anmcfruT8wdeLsD9eNmnemv2e65bqy60oQ7cWLj+Xqv1HdIFn259TEy0rrv6 cu/HhcHFFiI2t2EK/FNjZbh1bggF9+OfGtveHdNNbsgE99PY5Mo5Y/BA78dtl5efbz2DbeCOgKmx YwVsFlQv27Z3Y95u16ZPv5J6DqhTt50r/+P1uo2PiVFBxife666j79Sd47t416u8vFhFRRUqWL9C 1pvf+sS6aaem/fp5pfe7Vg9cnqSQsCh16jVAXXon68IxH+vRP7xjPZp9Xy3wNrdfLpj1T2Ede1g5 7rgVNoC2dd9v6f9riNuiQtvefUF/WZqtS+97QAHti3/3I5onJCTYLer76099O/rvkcB1nTp1qhqP OXA5rxFAAAEEEEAAAQQQQAABBBBAoOkKLE7P08eVw1E2pBBhw3GOT4jRr5bt0tPnu0zmCCcbr9ZN U5ft0aBx7St33q/ZX1n4GBmqwrSDXoD79wt76uq+vqEaNmStdVGNTQVaMn2r0nrGa/KlnXWZLXn2 q602PIINNZBVWBXiRtpQpt5k5bkpuX8n/XCIe7C8m/Zr6qt7lNDFEqBMN0Tl8XvsVuN19w7eyK8Q xVm4rNKADGnPAU21RX3dXnk5es4C3Mk92+rFS33uhes2StZ7+finpO6Ax2/yxsQ9fsX5SnI9at20 YOFi/fbZF1RsD5hqbw+8uu3myV4C3lhY5vZz610Q6k+7XXlufFkX5vqnwF68/mX+udu/9ra1y3Tb +uvp388ds74pcLvAst1r1ws3MLh2y9yPv+71lXeqlvn+huA7eu36hfY+Q11txJHtKbM0d2tPTUis DsyVvVKvzd1uO8Zo9NiuCtnyqVfIwYPZNnZxh4DTSdf/zfQ9TM6lsRU24EhRoY1au3KeUib0szFW ylReeQ1DbDxdX1NQaVX5l6BCG1/YX7eK0ET1tw7Cn2x/VzM+761vD3ajl1ROhes1e2m6vYlXB0tw K3d3f2Jx/xzxFG29sJOTk+UeVuafunfv7oW0rj5t2rRRe+sJvsfG/vVPI0eOrKqrfxlzBBBAAAEE EEAAAQQQQAABBBBo2gIb91sY0sgUFRqiHwxuq9ScIp1uDzRz7/1ZSH27+XOOgoDMI7JHe/09dJuu X7dL3SoK7AFl7nk+B/Q/VsCTw9taD1cXrFo2t3qXzrIhMtPWZGu8i1FUpJXbC5S5p1y3ZGYosihP Z3UOU9pq33eqXc/YCsszXbTy4rLtOq2wlUYlt7Vj5en6xWmKzWutb3aWPlySpVusF998y3789XPn UG8kU1meS5D851lnH9vR7RtYRv11z1dc5UG8bate285yWWKUurWzAPeAjdf70Q6d1a5ML847qNW2 to9XvlnbfOrOg/rB5lBFZR7Q9St8Q2wuXrVPfeyJblX18FfStj/VkxvOtTJSP35V2bV7j1I2bNa8 f72v/yxf4fXAbdUqRo/+5F61aR3nXQwXch5q8oehgdsFhqmBy+t7Xd+29ZUZuG99+wSu97+ub7v6 lvm3/zrMy0u7aNJV/fXkzHVa9srjyhw8QSMGtFPu5hX697L1NuS1xaUjJ2lgeKnKuve3OPdzZX/+ up7JH6FvDE5UYfp6LfpoZdUYubmfv6l5fW7TmOGttXV5lqY//pQGWy/nAXFh2pu6Vosqy+zjhnFw k/Wydn/LyU15V9Pf2aGYsI6aMOEMXfztkfrkxY+19u1nlL35XJ3rjrV3rf49z3es1sMvUffyCqV4 hRzbr4kTJyonJ0duGAU3jRs3zgv69+/fry5duuiMM87Q/PnzvXXnn3++F/oG/rHAW8EvBBBAAAEE EEAAAQQQQAABBBBo0gKtrefqFb1j9ewF8WoTVTX+QA0TizJ036KduqSHv2drjdW13vhytKgaKV5L XXVTO2W/vld3pxzQg5XByJMD21hvWd+QkTNW7NA1O3L1mv24nrJ/6NxMd+8o190f52v5lXFKezvb Akx7mJjFd266K8HK7O/qE6ZHO1rom1ms8R8cUFbyabrq+jbK/Md+3brCktvK7f8wrJ1GxYdrg9u5 /tN0a6xncLgSbJbmvQn4VWuf0ypXRfXvoIbrvl9vtHc7Vnf0rCoxwgfUd0Ss7trizs19V1w6r3W4 7soqUXYL2y+6jZ5NOqjBKcUa8Y4v6P5FZxsSYkeJ7v7PPk1Ojq4cm7eq1KB5EZKfn1/h7zl6POZL Pl6mR3/xGy/8cgFXP3uQ2SP2sLGEbl2rTvpwjuMLx9xNWuGNoevSdf9+7rXrNRsa6rva/uX+uW+9 G2PX1yvWv9w/95flf+/mpTa4qv+9GwbCv42bu8nVx613Py6w9a+v3s/17K3/eP5yT/W8PPMD/eKF JUr+zoO6vFfzqvP11yvM/jKTtfYd/WXax1VhrHfy9ny+/pdcr8nndFNhkQ1qHRqh/JTZ+t205dU9 YN2GYV016cfXq3TunzRzdZaiBl6nRyf10qo3X9PMz7b4iqr6XVnm2V1VVFJmVzlM2/71gl7+eLu3 RVjvy/Sz75yhijA71oZ39ceptesUpj4jr9J3Lz5d5cWl2vPpq/rju3t03UM/Vh97qqL/+hzp3B38 lVdeqQpyq6ob8MIFuGPHjvXumSMtn+2rP8f++4750d+v3E/cT3x++PzQDtAO0A7QDtAO0A7QDtAO 0A4EZzvwwOKdenVdtg4W1/+tb+t8awFuK/39ws6KCK3OmY7mehblF/hykKhoG0mhlkdJiYrKSxQZ 4cuBCnIPKiSqZfV2hQUqsgewVdj65u6hZgH5W33tS0FunpcnRbaomyvVt/2hymt0fVmpCkqLrd9f tFevonwbcDMi5rDqWWHdiYssL3KxXvMo37foa9TPXELKrfxm9rA172FueeYQoUgbY7jGdofwaLT+ liEer/XTpr+ukIIC64x9nCv0yJRfK7+gSGPHjNS4saMVHh5eVemjgfCPMVtfPf3Zmr9c/zYNvfcv P9x57fIPd79g3C7EAtHIMHt4nH0AiisHk65dz7CISIVZ45G7O0NZ9jTCMPtgt+/QWmF2Y3sBbuUN 6LYLDy3TwawsHTxo27VsqQ6tY+xBZjawgY2ZEmqBth1IhdZYhUeE2/tCZWRkqWXrlrIRE9Ta5qH2 YXRDbfivmXfsZqX2EDtTt3qWFVp3dheaW73D7X221UnNW6rk4EG1tPFoo6z8EvtAltn9Gx4Z5XZR WXGRiq3xqX1eR/LeXfNly5bp008/1b59+7xbwAX33bp10znnnKP+/fsT4B7Hhsh//Zkf232LH35H 0s5xv3C/cL8cv/+g5vPE54nPE58n2gHaAdoB2gHaAdqBE90OTJtmIa7rieulVMfxV1FxsYVuYV6P VVesP4Q9kkOsXbdeu3bvVc/uCUpMqO7F68pYvTZFey1c69Orh7rY09lqT5ttMObU7elKtN6/vXok 1lhdYgnhhk1b1K9vLwsrfT158+0vFu54OTkH1Nz+knDmGYNtLNSIqnAx04aIWLN2nT1YrblO79fH Akjf2KxZ2Tn6YuUabx/34LVo23fYGYNqHO/r+SbEcthQNfOCunLLYm0s23pPpJn1hm6mEDcEsn0P oDRgzOI6m9tGLhyusO2sWG9s3HrLtO1c/msbuiIDJl+d7KJ4AW25BcA11wdsehxeut7Y7sf1tLY/ dNiD9mygbpvce4ZQOA7AFIEAAggggAACCCCAAAIIIIAAAgggcFgC//jHawp95JFHphzW1kewkQtH XQLtwi7Xg9G9PtLpxw//r/LzC7Xg/cWKi41Vty6dvDDYlXXvgz+zYK1Q821dxw4dFN/xtKpjvTX7 Pb302gzL+so1a85cldpX9ZP69a7a1wWvD/38Ma+HcFSU7+FdKRs26eeP/Vbt27VVzoGDSurbWxHW e9RNn69crSef/qMX3q35MsWC2hbqntjNW7dvX5b+vehDvT7jLe3IyFSrljE6vX/fqvDX2+hr+ssN mOzC93JLSmtkqTXOx9a5sNVtZ+Fq45NvCAz31ym3bcNbuzLrX+/q5O3v5o0f7JjXunNyga2b+8Nc dz+74zMhgAACCCCAAAIIIIAAAggggAACCCBwsgRWr1mlZv5Q6kTM3Zi1R1tuTEy0evVMUK6NtbHP HizlyvH/tLSwtFfPROvNWa6DuW5wZjcebTPt3rNX/3x3vh598B7d94NbbX6v937P3n01gmQXxPqz OFem27dd29YaeHo/jR45XNHRLbzwzgXGr/xjhq675grdf88d+tWUhzVm1Dne8dx+XTrH60c/vE0D B/TX5Ouu0NVXXlY1dq5b7ybmX38Hdw25jl//68jnkfaIzzGfY9oB2gHaAdoB2gHaAdoB2gHaAdoB 2gHaga9jO+A6Gdo35oNz7BLXC/LTz1bq8ssu1CUTvuGFsK6u7seFrv9e9JH3evS5Z1cFrvutl60b BsENo+C2S+jaRVFRkXK9b/3nGRUZWbW9++C65W4qLCrSZ9brdsfOXV5g59/e9QbuamGt/33tuSvD 1bWoqNgr19XNXy5zxkSpfb/wPjjbG64L14X2mvaadoB2gHaAdoB2gHaAdoB2gHaAdoB2gHYgWNsB +yK8mrkk103BNi+zXrY/uPUmXXbRuKr6OUhXz2Ibc/fhH9+lGOsx+87cf3kBqxvrtpeNn9uhfTs9 YcMfuKEPnnzmj2rfvq03rq5b7ya3vMQepuV6CbvJlee9bxaqSy8cp042NIP/a/Ru/QWjRup3z76g FZ+v8nr1LvlomVtcY1zUIguAXfmufv7xUoPNk/oE533OdeG6uPaE+4D7gPuAzwHtAO0A7QDtAO0A 7QDtAO0A7QDtAO0A7UCD7YCluEHbE/ec4cPUzB6E5Spf+y8hZw4dotZxcbr6iku9IRTcetcD1v08 YMMetLShGF6eOsNC3hh7f2dVb1u33cbNW7zevS4AdoGrC147dGin/jZu7p//+qpmvPlP5eXle2W5 7d1QCheOG6vZ7y3QuvWb5IZyqF2foUMG2bi8Hb3l/iEkgjW5p178ZbH2/ct7/tJIu0C7QDtAO0A7 QDtAO0A7QDtAO0A7QDtAO0A7QDsQvO2Ad21yc3N9g2G4uJ8JAQQQQAABBBBAAAEEEEAAAQQQQAAB BBBAIGgEXnrpJTULmtpQEQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIE6As1cd1w3MceB+4DPAe0A 7QDtAO0A7QDtAO0A7QDtAO0A7QDtAO0A7QDtAO0A7UBwtQNuuNmgHROXsVgYi8U1GNwH3AfcB3wO aAdoB2gHaAdoB2gHaAdoB2gHaAdoB2gHaAdoB5pyO1BuDzYLOXjwoC9adn9mYUIAAQQQQAABBBBA AAEEEEAAAQQQQAABBBAIGoEXX3yRMXGD5mpQEQQQQAABBBBAAAEEEEAAAQQQQAABBBBAoJZAhSrE mLiMCezdFq5LupuY48B9wOeAdoB2gHaAdoB2gHaAdoB2gHaAdoB2gHaAdoB2gHYgeNqBslIbTuHA gQO+u9JdGSYEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBoBGY8r9TFLZt27agqRAVQQABBBBAAAEE EEAAAQQQQAABBBBAAAEEEKgWSE5OVlivXr1UXl7ufY3edZX3/1RvxisEEEAAAQQQQAABBBBAAAEE EEAAAQQQQACBEy0QEhKiwJ9mzZrp0xWfKMwtdG/84a1/zBNXocDXJ7qClI8AAggggAACCCCAAAII IIAAAggggAACCDRFAZfR+qfAENe/PKy+AJfw1k/GHAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQODkC /tA2MMh1R/Z64roXbkVgeBv42q1nQgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEDgxAv4A15Xuf+3N KypDXH+A61/pNiTEdQpMCCCAAAIIIIAAAggggAACCCCAAAIIIIDAiRcIzGbd0fzvU1PTGu6J69/o xFePIyCAAAIIIIAAAggggAACCCCAAAIIIIAAAgj4BQKz2T59+lSHuK7nbeBK/w7MEUAAAQQQQAAB BBBAAAEEEEAAAQQQQAABBE6uQGBWG+Y/dOBC/zLmCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAqdW oNmpPTxHRwABBBBAAAEEEEAAAQQQQAABBBBAAAEEEGhMgBC3MR3WIYAAAggggAACCCCAAAIIIIAA AggggAACp1iAEPcUXwAOjwACCCCAAAIIIIAAAggggAACCCCAAAIINCZAiNuYDusQQAABBBBAAAEE EEAAAQQQQAABBBBAAIFTLECIe4ovAIdHAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQaEyDEbUyHdQgg gAACCCCAAAIIIIAAAggggAACCCCAwCkWIMQ9xReAwyOAAAIIIIAAAggggAACCCCAAAIIIIAAAo0J EOI2psM6BBBAAAEEEEAAAQQQQAABBBBAAAEEEEDgFAsQ4p7iC8DhEUAAAQQQQAABBBBAAAEEEEAA AQQQQACBxgQIcRvTYR0CCCCAAAIIIIAAAggggAACCCCAAAIIIHCKBQhxT/EF4PAIIIAAAggggAAC CCCAAAIIIIAAAggggEBjAoS4jemwDgEEEEAAAQQQQAABBBBAAAEEEEAAAQQQOMUChLin+AJweAQQ QAABBBBAAAEEEEAAAQQQQAABBBBAoDEBQtzGdFiHAAIIIIAAAggggAACCCCAAAIIIIAAAgicYgFC 3FN8ATg8AggggAACCCCAAAIIIIAAAggggAACCCDQmAAhbmM6rEMAAQQQQAABBBBAAAEEEEAAAQQQ QAABBE6xACHuKb4AHB4BBBBAAAEEEEAAAQQQQAABBBBAAAEEEGhMgBC3MR3WIYAAAggggAACCCCA AAIIIIAAAggggAACp1Bg48aNIsQ9hReAQyOAAAIIIIAAAggggAACCCCAAAIIIIAAAo0JdOvWlRC3 MSDWIYAAAggggAACCCCAAAIIIIAAAggggAACp1Kgwg5OT9xTeQU4NgIIIIAAAggggAACCCCAAAII IIAAAgggcAgBQtxDALEaAQQQQAABBBBAAAEEEEAAAQQQQAABBBA4lQKEuKdSn2MjgAACCCCAAAII IIAAAggggAACCCCAAAKNCGzftp3hFBrxYRUCCCCAAAIIIIAAAggggAACCCCAAAIIIHBKBfr06aOw U1qDxg6ek6mVKfmK69pRiZ1bVG9ZmqP1X2Sp48BExUWVKHXNdqlNrW28rX3rCqPbql+P2Or9D/uV 23+H1KGDEk8Lb+Q4lQW6+m4L1eCB7Q/7CCdlQ1evjflSmL/TdYii3FWPbmkubY66CoVb0rS+tKUG 9zn6Mo764Ox4UgQObt+g1OxQJSb1UsvgbSkCLEq1fUOKyuL62Gc2MmA5LxFAAAEEEEAAAQQQQAAB BBBAAIGvt4A/2Qu6s1j21g4NWZyl7rO2qzCwdoVZuvb9fZqekmNLi7ToPdtm8e7ALSpf+9YlLcuq Z93hLMrXvPf2qfsCV3Zjx/GVVbhtr4a8t00rcw+n7JO3jVev97M0ZMG+yp+9SnrPfmZu1ZiXN9W0 PYJqrf/YznfWjqPe33+owo0bNOaJVVofZG7++h39PFfzXvxcD72bfvRFnOI9M9Z8pKVL39f24lNc karD5+vDGX/TjEWpVUtqvijWmsVLteCTr2ou5h0CCCCAAAIIIIAAAggggAACCCDwNRcIzhC3cLue 9+eyeXlauStAOSxE/eyt15vUzUOl0basvslb534d1dRCEy9qq5SRrb29GzuO2yAq0lFaL1dv6yD6 VdkD988XJKjiniQVuJ8bO2tWpxAt3n1Ab6ccXXrab3QHfXFRx2M+3yiVabH9HHNBQUTuq0ozZedU aF5eRdDV7HArFBrqPjsROtpP0OEe5/C3C1V+bply8ksb3MVV2VfvBjdhBQIIIIAAAggggAACCCCA AAIIIPC1EwjKL0lnL8vWqxaILr08Ts/PytLzH2/XiCu6VuFmVr06xAs7u8Vb9uuZP+/RfQdcmBai p3u30e1XJFpmaD0lX96ox0ujNe+WvpUZYr4Wvbxe82wIhccvjtP6FdlanxRtww40r3WgEq1/d4Nu X1tkAaSFyK0iNaVHQFhXulfzpqXroYwyrXLrI8M05aKeGtMnplY5J+9tVJTFy1EtfOdp84kjrSfz zFwVlpYpc9Fa3bs1XFMGS1MWWKjbvZ2mX52g1EXrNGVFgV61jNXZ/XlwW90+PsGrdPaWHD2zNV/P 2/ARLrh22z60vEAz7PUgO99nxidqTFLlMBa70vT8W/t0h3cNpBvaNNeUSf0Vl7JOE98v8Mq7/ZnP NSGpgx66uIv3vsavnHRNf2OvHt/v87zGeV/RV/1smAvXk/fG2cW6d3SUnn//gN03dvxQO/4V5t2j trfrHbtRi9q20oTSXJ2/1Z2Yndewthqjg7p9he96uvIfv2mAEr1Efr8Wvb5dU7aXetd6kG1/+7AO un2sq6fvPphi94F33qEhutfW3TiiQo8/v0fTrfhVW/dozFP79fztg9TPqtOg047NunFmge69KNrr XX6fmqvg3v6V92UNjVPypij1Q01buFtJZ3XQxqUpclctNKaLzj2vp75a9JHSC5xlhLoMGquLhne1 zuupenPaQhXFtZX27ZZlr7ZDcyWcNVbjB3aqPIeDWv7eAq1N3+difIVGxKrP2WN1Xt92UmmG5ry2 UHFnn62ytR9p474KRYeXK89tmL5Yf/vbZxo96Rr1ChhppbLQgNle/WfOQqXszPHKd/WLHzBGl54T o/mv/1O7487SpIsGVo0ps3nRm3o/NVQXTpqormWpmj/nQ6Xl+O7PmPgBuvTSc9RSpVr59jR91Xao +pRt1NKNu9Vl9CRd1LdlwHF5iQACCCCAAAIIIIAAAggggAACCBxfgSDsiZujeSvs+9uR0RrRp4eu bSW9uilb2Ud73mWlui8vVLMGx+jp6Ardt2mfbn9ru1datgVDi3NcKuSfypW52/We9C3L3Fem57fY eLK1ptR3v1SSBXfZ0RGaOyxGE4qKdP5K/3fOS7RsWpoutAB3Qvdoze1tY3MWler8WZuV2nAHwlpH qOdtbro2bzn6r+ZHVY2J6ys7c5u/vlL2/mLN2J2rJAtwZ1hIOaZtpDIXrlF3C2VftX6Y0wZE6yeR Fbpj5V7dWzk8QPbuYr26u8QrLHuRb9v15jHNzrefO9/Zm7Voh60vzdRDr+z1Atyne8eYR4Re3V+g 7s+v1bY8aXC0rxd1x2gbezW6nr8p2P6PP79LkyzAHdO1uaZ1D9OMA0VKeuVLpbpxNsrKNKOsWGdb gKtO5j0gUnF2zc9/a1u9Qz1kW8/YJzblWIArTRscrXtk57XChpewAHei1W9ap1Cv/BvfS/PObeXr qTrfAtzBXaP1gW0/JtRtv9sbNiN72XrvPshsE6m5bp2VddPyXXp7c4USY0MV56PWhE5R6miBcGNO hXYNXi0qtiEqsnRfkXRPh4jKvY99lpu5RVvS3fAjRz+VlearuGyfVlmAGxqfoIT4GJXZPbl47mKl l7VVn6QEi52Llb5qoTZ4H5kiHSwuU+7u3SqwsDfJ1seUFSht6Tuav9ltUKr/zJimVRbgKiZefRK6 KLQ4RymL39KiVAMoPqh9xQX2/n0LcIsVERWjFjExlb2CzbbDaWp5CKI1c/6ptRbgNrf6DnDHDy3W zrULtS4/TqdFlqkgfaXcoXzTLq3daHVpHq+ukRl6+7UFXoDbISFBXdpGKHfnWk17e6XVuli7sgu0 L8WGmrAA15JsxbUInr7K/rNhjgACCCCAAAIIIIAAAggggAAC/10C9aRmp/gEt+3WJMtQ/zy2o1eR MedaL9j3CvT2mlzdOLB2z8rDqWuEdt4/UF5p43PV8ZkNmmRB7pRSGybBnX3tYNXyGH/45kqPqy1k oeLza62CoZFadtcAr6fkhLH7FffUVt3hZb/5St3l9gzRjZf1Uz8L7yZssd6i7/kCT7fmqKaYMOVt 2KFVGyo0qG/XIy5i0rsblbosxMLwZirMK9Hvva/5h2pEb+stu8ll+WW6p3c768FqPW1d8PpbC3nt HLPuH+B5XKv9GvzMVk1aa0HueOuF6rnYfs5juW3bKkYr7+jr1etaGw6j4+93a8rHGZreNltP2NKX x/XSjUN8PXN3LlyleAvqI4adoWc6rdPvZxVqyi3WU7W2te2XuXiXHrb5n0cn6PYR1kPTpolfrFPz BQV6ZmG6Hu/hLdINVvdXXN1t6qeV6r622At5nX/dKVQp9wz2rs3ETmv1+/eK9PTo7rp3hHtIm/VO fmKDXvHui1ytt1B/dNfWeuY634FGeNsXe9c9c5vvmt5+bqL1IrYwf2y6Ep/fq7hW7TTmpnjpqdVS j/Z6yPUid2F0I07zBlbWMjpaWXf1q3EP1q3/kS2JDC1RlvX03aC+6tvlaD5D1ceL6XOBrhvTyxbk a/7fXlNaWbyuuPFSuSuT3+E9vbZ4Z/XG7lXbQfrelcN9y4aa62uLlfbJZ8q34HOt5cqh8Wfpe5da F3A3HVynV6ZZr9sPl+rsq+MrA9sYnTvpOvX3OrqW2jFfUnqXc3XleFeHxqZ8ZdgfYULjz9Z1l/pw h1r9XrX6hdrNm3RWH30yd6MFt3vVa2A7FW1PkRvBJWHoQGX8Z473OunCm3VeV99NmTr/dS1I+0xf 5fepOmjC6Cs03vUaZkIAAQQQQAABBBBAAAEEEEAAAQROsEA9sdkJPuIhil+57KC3xfSV2xW31R6c led7rNkzy3ZaiNv7EHvXWm1B3OjurXwBrrcqxoYRsJ6x7xcr21dsrR0O421hkVJts3uS4gK+6t7G Qrxt0tpyWxOrEQONdWWpkn5vX/m23qU3dm+pZ77ft24g7B2uRHvTM3xfE/fe1/+rmQ32GR0Zopzc 3fp8Tb669eyrdo1+lbxmOYNUrpVeZ0wvabaens11+0W9vSBzva3zQudxvhBUlef4kyGnBYSJbTRx dIa0wGdXlY3ativdoQ5YyP7cShueodzGK67whjVwXW13hbnjhWrMwMqhFexdx7GDVDHW7SQV+qpj L+xNPflittdTOkITKwNct0/UkA769YK0qh7TbtmEJPvafuXUsYd10VxbaHXxL6k1D42oHCrBllf2 UB7R3QW4vql6GOUYXXtvssakbLfhHNZqmfU+9oXfvt7DicOipa25mjTb/jDwbqie7tZcEy7vo36d 3YXJ9RVmHt50CKfCyhD35dFdAsx9uzb8O1fpab6hCBreRmoWGqXIkFzl7tqgNXlt1bNvoo7g1qlR dNsunWq8V4dEL8D1Fnpj6NZc3WWAP5225S36amj8Yi3deVC5B329V5POGlC9Q8v+Oiv+I32003r9 2lLvzukytDLAdZu5pTZZ7+tDTy00/sablbE5RfPfm6N9bkiHyiEf3L6RXQeoizYqfU2KNPA8pa75 ypa21WAbnyH7K98QCikLp9lnvUxldl5lBb5lX23P9YXLoQm+YR8OXRG2QAABBBBAAAEEEEAAAQQQ QAABBI5ZILhCXOutOH1rhXdS2buLNMl1jaucVu0/6IWQgy2DPaKp1jACirHeow1Ohco8nHzI9k/s UDMGi4ryBXuu6MTxg1SQZCHjCntw2JZi3bQ2y34+1wffHagxncNrHb1IWVlZOlhSGfbVWlv1tpnV u8xnU1Gcq30H8i3ErVmHqm3refHQxf10bVJj20d4Y7YG7prY5vC/Ju7C6sGxzta3z5gOISoMc1Gv S2ft6+817rQSFVqoqbB6UtvACthrX1hc+4FxUUq0w2QHbOvGdrCMOwAAQABJREFU9q09VQXNtVfU eR+iOMtj6045evvPm3W5jdSgyFD9uVu0ZhXm6fLtvi2jevRVxQ/2aNniPXp7a6Hus0D3vq0penp4 N907xnqQ1zM17hSiwd0ObVJVbH62svbts5F5G5+a2b1TeeuoODdH+200gyO4dWoUXlYrQA2NsMC8 gcm7IrVuoeYRbkGoPXzMt1PLFjVuDEV466sL7JBYKzSuXnWIVwdtLONp2uiy9IgYxcf3Uafir7Rx p3+3dhpsYzanp3ylzda7dmN6mSISBuk0W+37M1KoYuNaqqq5sbF9IyzQ7WQ9iHe5E+vQ9aiDcH8N mCOAAAIIIIAAAggggAACCCCAAAKHK1AzQTncvU7Qdtlf7PW+ej/tol66NqDnZmHKejWfnadXlmXq mdFHcHA7u8XbDnoxoj/QW7nM9ahzoWAzxbmEpjQg1N2VrVdsUT/7aXCyULijrbxv+R7dfmabypCx RCs3um6fLsi1h6NNtaELenfRjfb1/om25Hl7+FbzWfbVfEvPxnSu7pFqq2yKUe+BlV8n9y1o8Pfm VZ8ppyxSnfsMUMcjyPpcgYWlh4z6qo9r5+i87lhm5zikuofqMhs31rMLvGus26rzWB/bUvdO7lFV xrI31ii1k4VgGS4BLdayLSWa0MMXYLuxZFsvLrZQO1kj/Hv4L5D/fdXcXZ8iLbKxiSf2qAyhd+zU 4xak9asd0Fftc5xe5GbpGav+Db072FANXb1CC9eslbZbj1AzSF24Vs/samFDLfT3zuNxGyP28T/a mLi783SvjRDrTf46HsIpqnIE3+pewIdxDi26aOAZXQ5jwz1a9dk2lUXag8MG9Kqvw/NhlHHkm7ic dvdX26VefSt3tnFn0+zCWe5rz57zpjWfbdfAMT5bKUOrvPUW8tpa27Iq7PVtXfnbnwDXWFjrTf52 fWUBbvOECzS5cuiFog0HLcTd7TJkb+pkQydEuLFt7eFnrlUYNLiXtzwy0gXTueo7dqIGe8M42Ntd K/Xmol3qEN9cbrSU0MOpg1cavxBAAAEEEEAAAQQQQAABBBBAAIFjFwhIMI+9sGMrIVeLlruQMKLG V+9dmVH2Vfmnbf57e7BWYO9Lt+6QU1GBJkzdoNRtmVr57hqdbRmO2rSyXqctlHiaha5leXp7UZpS U7bYA7hytOpQBUZ1teERbL+8XD30xiYrN12L3vhSF7qs0pvs4WjWVe+mxds0fVGqUu1hZMtW+r6K 3WBO6d+1kXnJ3k06YAFuwhlHHuA2Umz9q+wcH3LnaEMkXGt261OsV/HrK3X+fgu6OsV5QzBU7RjW RbfbtqsysnTvG/bwNnNe9NYqnb21WCutE26/ka00yDa+cOY6LUvJVOoXG3S7BbjWtVUjXK9kb7iB Cr3y1gYLwu0AtabEcXG6xpZdPnO93l6WpvWf2vjCrx2w6xSie0da+NfQkAm2jx2+7tTI9nU3dqG8 PVgvI8fqlqn1i9ZphI2fK3uA2aKVe1SYY8MrbM/SQ2/ZeW+x+2t5tqZ7e/j2cy8Xb9mveXYfZNuX 9xtz8nY7Qb/2bs5UWURrnXEsAa5LVI9wcllpcdpivf3hGm3PsAfdvTnXG2s2ts9AxSWeowTbIHfj XPv8rdTmzWs0Z+o72mf7dBg6tNFermXpn+nD5eu0t9Fr6UtqC3anaF3qdm1YPt/Gw013NdLGlAzf mbToIzcKR0GOl/Zq4Gm+xV3PGuxyZn0y7XUt35Cq7RuWa8Y/P9E+t11l+Ozbkt8IIIAAAggggAAC CCCAAAIIIIDAyREInhA3d5+m50nX9A4cw9aP0F4TertQpkjLUksDxrj1r29kbj3mEjNy1X3aDg2x h12NbtVcO2/y9bjrN7KN7rFdJy3fq+6zs7SsTYT3PiraFwA1VOrgq3tqrg0X8PutB6zcXTp/a7l+ 3cG/j42jOqmtfh1ZYeXuU/eZbr09NKx7bI3exQ2V3dDy8Ha9dYYFuO0a2qCh5YfbY9Bf/cpy+tk5 ftA1VDPMLmn2Xl24vUw3dIrRooDetv5Dum3ndgo1jxzP+fxNpd75ThnTXjqthxaNi9ZoS1vPnr1D 3RfkaoaNSfvFd3t4vX2j7IFkf7Ye0U/YUAQ32vATdaaYRL1yeSvdYMHp5Yv3Kun9XBtvN1RzL0vU CBe6NXitrDdxncDNelHH1jlCwwtiOun5AVZIXpGGzNqhpOUFurZrhBdK32EPXEu8rJtm2X3wxCY7 75l2f1lP5bhWkXrlIje2cIxGDLMTKyvVhcv3+x6y1phTw7U45jXteg3UGQOre0kfboGRLaqHhAg9 7PEXqm8kL/cNba7dKUs19533tXFfsWISztbEc9wQCS01ftI4WcdW7d74id5/f6l22t86OiRdoIn2 oDE3VZfkvbVfLdR/QLyZ5ihl1VLZEMUNTy166tw+drELduqjBXO1eFWa2sZ38LbfaQ9W8w2ZEKaB A3w9mTtYb/iqwUZa9NeVFyRZkJurVYsXaO7iVcqx6znowgvlas6EAAIIIIAAAggggAACCCCAAAII nGyBkAqbTvZBT/7xbAzWXBsINKyFoqJqj0nrxmf1DTUQFVUV4xxeFQtz3TPA7FlmMZXDKtTarTDf e9CXomx9nUCx1rbB+tadg/fgs8gaduvf+FxJWyNU8JMB1efueVh0Z1/bj6rT7dicc+waWKgcFXOE Y0FU2hTmWk9Im452/8pijnzmhqKwn0J3/7jr6M6z1DxiKu+lUjMqtDGNw2oaNXigRp0a3OvrtaJo g/726mJ1GXeDxieGKv9ggUKb2/Aa9XwOivLzfUMnRLSod/0xnXhpqUptHN+y0Eiv7NKifBWURcg/ Fu/2Ra9r7sYyXXDDZPWyzL3mVKr8fF9S3OKwQ+yaJfAOAQQQQAABBBBAAAEEEEAAAQQQOFaB119/ val8OTjcAreGumDaujrB7mHSunC2TlgZsK+Fwo2tDtgyeF/WOQcb//etdRriHkDXJqrm+TXqYc6x DV2Dwzv9kx7e+qsVZmGt/VRdS3ee/nVu7sLdI8mlG3UKLPhr/Lpy+IViLwRtqRYt/YPL1j2nyBMZ kIaFKcz9VB42LLKF9QG2TH7vOi34aI3Sd9sfBuLPrSfAdTuE2QPg/HtWFsAMAQQQQAABBBBAAAEE EEAAAQQQOAUCwTOcwik4eQ55NAJFys6r0A1tIvXFRXy5/GgEm8Q+1vO1bfNYJXaoHpIhmM67LHe3 Bbg5iohN0CUX9g+mqlEXBBBAAAEEEEAAAQQQQAABBBBAoI5AExlOoc55swABBBBAAAEEEEAAAQQQ QAABBBBAAAEEEAh6ATecAj1xg/4yUUEEEEAAAQQQQAABBBBAAAEEEEAAAQQQaMoChLhN+epz7ggg gAACCCCAAAIIIIAAAggggAACCCAQ9AKEuEF/iaggAggggAACCCCAAAIIIIAAAggggAACCDRlAULc pnz1OXcEEEAAAQQQQAABBBBAAAEEEEAAAQQQCHoBQtygv0RUEAEEEEAAAQQQQAABBBBAAAEEEEAA AQSaqsDGjRt5sFlTvficNwIIIIAAAggggAACCCCAAAIIIIAAAggEv0Dnzp0IcYP/MlFDBBBAAAEE EEAAAQQQQAABBBBAAAEEEGjKAgyn0JSvPueOAAIIIIAAAggggAACCCCAAAIIIIAAAkEtUGG1I8QN 6ktE5RBAAAEEEEAAAQQQQAABBBBAAAEEEECgqQsQ4jb1O4DzRwABBBBAAAEEEEAAAQQQQAABBBBA AIGgFcjYkUFP3KC9OlQMAQQQQAABBBBAAAEEEEAAAQQQQAABBJq8QJ8+fQhxm/xdAAACCCCAAAII IIAAAggggAACCCCAAAIIBLUAwykE9eWhcggggAACCCCAAAIIIIAAAggggAACCCDQ1AUIcZv6HcD5 I4AAAggggAACCCCAAAIIIIAAAggggEBQCxDiBvXloXIIIIAAAggggAACCCCAAAIIIIAAAggg0NQF CHGb+h3A+SOAAAIIIIAAAggggAACCCCAAAIIIIBAUAsQ4gb15aFyCCCAAAIIIIAAAggggAACCCCA AAIIINDUBQhxm/odwPkjgAACCCCAAAIIIIAAAggggAACCCCAQFALEOIG9eWhcggggAACCCCAAAII IIAAAggggAACCCDQ1AUIcZv6HcD5I4AAAggggAACCCCAAAIIIIAAAggggEBQCxDiBvXloXIIIIAA AggggAACCCCAAAIIIIAAAggg0NQFCHGb+h3A+SOAAAIIIIAAAggggAACCCCAAAIIIIBAUAsQ4gb1 5aFyCCCAAAIIIIAAAggggAACCCCAAAIIINDUBQhxm/odwPkjgAACCCCAAAIIIIAAAggggAACCCCA QFALEOIG9eWhcggggAACCCCAAAIIIIAAAggggAACCCDQ1AUIcZv6HcD5I4AAAggggAACCCCAAAII IIAAAggggEBQCxDiBvXloXIIIIAAAggggAACCCCAAAIIIIAAAggg0NQFCHGb+h3A+SOAAAIIIIAA AggggAACCCCAAAIIIIBAUAsQ4gb15aFyCCCAAAIIIIAAAggggAACCCCAAAIIINDUBQhxm/odwPkj gAACCCCAAAIIIIAAAggggAACCCCAQFALEOIG9eWhcggggAACCCCAAAIIIIAAAggggAACCCDQlAU2 btwoQtymfAdw7ggggAACCCCAAAIIIIAAAggggAACCCAQ1AIdO3YkxA3qK0TlEEAAAQQQQAABBBBA AAEEEEAAAQQQQKDJC9ATt8nfAgAggAACCCCAAAIIIIAAAggggAACCCCAQDALEOIG89WhbggggAAC CCCAAAIIIIAAAggggAACCCDQ5AUIcZv8LQAAAggggAACCCCAAAIIIIAAAggggAACCASrQEpKCmPi BuvFoV4IIIAAAggggAACCCCAAAIIIIAAAggggMDw4cMJcbkNEEAAAQQQQAABBBBAAAEEEEAAAQQQ QACBYBZgOIVgvjrUDQEEEEAAAQQQQAABBBBAAAEEEEAAAQSavAAhbpO/BQBAAAEEEEAAAQQQQAAB BBBAAAEEEEAAgWAWIMQN5qtD3RBAAAEEEEAAAQQQQAABBBBAAAEEEECgyQsQ4jb5WwAABBBAAAEE EEAAAQQQQAABBBBAAAEEEAhmAULcYL461A0BBBBAAAEEEEAAAQQQQAABBBBAAAEEmrwAIW6TvwUA QAABBBBAAAEEEEAAAQQQQAABBBBAAIFgFiDEDearQ90QQAABBBBAAAEEEEAAAQQQQAABBBBAoMkL EOI2+VsAAAQQQAABBBBAAAEEEEAAAQQQQAABBBAIZgFC3GC+OtQNAQQQQAABBBBAAAEEEEAAAQQQ QAABBJq8ACFuk78FAEAAAQQQQAABBBBAAAEEEEAAAQQQQACBYBYgxA3mq0PdEEAAAQQQQAABBBBA AAEEEEAAAQQQQKDJCxDiNvlbAAAEEEAAAQQQQAABBBBAAAEEEEAAAQQQCGYBQtxgvjrUDQEEEEAA AQQQQAABBBBAAAEEEEAAAQSavAAhbpO/BQBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgWAWIMQN5qtD 3RBAAAEEEEAAAQQQQAABBBBAAAEEEECgyQsQ4jb5WwAABBBAAAEEEEAAAQQQQAABBBBAAAEEEAhm AULcYL461A0BBBBAAAEEEEAAAQQQQAABBBBAAAEEmrxA2IkUKC4urqf4CEVE1LOYRf/1AnXvB+6F //qLzgkigAACCCCAAAIIIIAAAggggAACCByzwAkLcTdNv19T5uysp4LxeuQvT6l/dD2rWPRfK9DQ /TDhkb9oMjfDf+1158QQQAABBBBAAAEEEEAAAQQQQAABBI5NYPny5TphIa4Ufmy1Y++TLpCXtk6r 9+TXunIlatE+Sf0T4o6xPtwPxwjI7ggggAACCCCAAAIIIIAAAggggAACTVCgb9++JzLEbYKiX/NT TlvynJ6bl1PnLMLHPqJXbj7WELdOsSxAAAEEEEAAAQQQQAABBBBAAAEEEEAAgcMQ4MFmh4HUVDYJ D4+t91Tb0Ym2XhcWIoAAAggggAACCCCAAAIIIIAAAgggcDIECHFPhjLHQAABBBBAAAEEEEAAAQQQ QAABBBBAAAEEjlKAEPco4dgNAQQQQAABBBBAAAEEEEAAAQQQQAABBBA4GQKEuCdD+WtyjIgWDVQ0 nPEUGpBhMQIIIIAAAggggAACCCCAAAIIIIAAAidUYPPmzcHxYLO0FUuVViJVR4UlKgmP16hhvT2A jHVLNPut2VqWslO2mTe58VuTRozShAsnaFBCzYduZaz6t96cPk/Ltu2s3NrKtu17JSVrxIQL9Y1B CVXLa7/IWLdCm3NK6q9L3h6tWDJP8xYuVcrO6geAhcfGKyl5lC69bJT6d6pZl9rl13lfnK11q1do ycJlWp2yWTkl/jOsrvPQUaN09tD+iouos3eNBQ3VfYQ5ul2L92zSvDlvad6SlKrjjLr2FiW1izQf afPq6nMKLHjnnHla2svWWd1K7Cc+eYR6H6oygQUcw+u8PWlavWKJVny2Timbd1bV21dkuGJj26lT Qi8ln322GQ1S++iaB8tOW6XVafne+fnXuHNolzRU/Wtv7N/AzfPStPSzNHcRApfa+YcradQwta+x 1Pcmb886LV24RAtXrNa2gPvDldGt11CNGjtWo87ur1pVrFlSXoYdd3ON43rHHGHH9K5/sTYtnae3 Zi/Rav/93e0a/eXXlzVebs2j8A4BBBBAAAEEEEAAAQQQQAABBBBA4GsiMGzYsGAIcfO05LnnNK86 u/TxxV6jocPiNOP+e7WwOoutoi0pydHqD+d4P7Fj79Ofbh7mBW/P//yn+rCB7VNWfyj383LseZry m9vVu06alqeFTz5dty7xlyohdrN+PuW1qhC5qiL2oiRnp9VjhvcTnnSpfvXgtep0iMDVIlWtm/uS Hnvtw8Ciarx25+iv82u2ZsR3H9FtF/b3AtkaG3pvGqh7+ASNeKW31s1+Qo/NWF1nt7SZL2pJWZ3F tRYs03NPL6taFjuhnf40uX/V+xPyIm+Tpj5t1yKl/mDZd8wS5Zh9zuqdntMMW5g04T49OHlYpZHd W088qRn1FZF0m/7x6KgGq56x5Hk999q2uuvN8y8W4taYsjfppSce08JttW/iyq0sNN6WskyvuZ/n wjXhrl9p8tmdahThf5OXtlDPvTDP/7ZqPiH+ZU3utFlP/OAxra59mJz8qu14gQACCCCAAAIIIIAA AggggAACCCDw3ycQFMMpWGfKulPOPP38zvoD3Nob5yx8Ws/O/reefaD+ALf29sr5UFN+8Lz21Fkh 1VuXnXP00wYC3NpFlKTM0QM3PaFNebXXBL7fo+kP39RogBu4tf/1stce0033T6233m6beuseH65l 039Zb4Dr9ok8wo7Dbp+GRl1w647LtGeF7rx1yiEC3PqPlDLvad367FKLyN0UrVE3n9fAhnO1ybdR Pest/F1YT4BrW464bUKNHq95m+bqxh9MaTjArVN6ieY994Aenr6uzhpvQa2ev76NrDfwzmX65a31 BLj1l8JSBBBAAAEEEEAAAQQQQAABBBBAAIH/IoGgCHHr98xR4DfS69+meumyGS9rWX09Lqs3qfmq 5EO98G/7uvwJmVZrygNTlV1v2Xmabr2L59SfEda7R42FO+fp3vunN1B2jS3tK/n2ftscvTAnpdaK 6rdFhdWvD/fVCe33WZymJ+59WkdyKWvXu2TZc3prnS9Fj0seq261N/Deb9OHmxtI2rNTtKSe3txS vMYmVw+kkLdptm49zHC/dhW2zXlMTxz2/WfB7wsvqOGrWLt03iOAAAIIIIAAAggggAACCCCAAAII /DcJBHGIW5M5PDY2YJzamuvqfWdj4MbH1hzPtPZ2KW8tUQMxXu1Na7yPt7F1zztvhLrF1lhc8431 JH5hSd2+vhn/flpz6g0IfbvHdrOyx56n5MYKt57BT8zeVPN49b2r/bX7erZJtDGFk9xYwSOS61lb uSi2m5KTk30/SUkallBnHIqG9z3CNRlLpqruoA++QmKTL9Ujv3pGf/zjM/rNr6bopglJDZa+xI1n 66aI3rryvPov1JI59R9pz+qF9YfIyVeqf9WpZ+i5KW4Ah/qn8Pgku45jdV5y/RGy22v1yz/X0rq3 SP0FshQBBBBAAAEEEEAAAQQQQAABBBBAoMkKhAX9mceP1ZRHv1v1IK2MFVP1wNN1xwytPo943TTl UX2jt2+cgOLsdXrh3se0rL5AM2eV0vImBwRz1aXU+6rOWLo/1J51s/XAYzPqHSt39Utvas+o2wMe gpWml15uoD9leLIe+c1dNR62VWwPynrhgfrrvm3GS1o34dfqf8ixd2udiT0wbsQIe7hWRLEy1qWp 64ArdOvlvmTyyoSH9cCMul2E40fdrJ9c27tWQSfm7Wb3UK96pvixD+qpmwdVrYmLa69Okx+1sYp/ qSkz6poGDvmQbEG1bMzi2tP/Z+/uYuK68rXBP+edU1gDnYEjgzRw0YVGkAwowRdwkXKriSMsB0uB iyZSG3fjdmwldmdw0o39HgfbiePYju23bToJ7rRJZOfD3YaWmr4ASyaWUTtEceUCRgJHoMS+qOqR igtsvSAf0BikOfOs/VGfu4oP233APDsxVbU/1l7rt9beVfWvtdeeY7D21mwApQmG0xi84h3cra2L BbrDHM/Ye60y/Pb936Iq7qZpuzm+77nD73iM1TyHju5BBHYnjbGbnFGP14Vlz6KcwfTZyQjCM17j kXhspFkSkIAEJCABCUhAAhKQgAQkIAEJSEACK1JgmQdxK/C70zsQfwuooqom/PbZfvzeMyoL1B48 wgButLsksvLKsed3uzD0mw7PQOvCa60C77zPm6ElBPyAgvJ6/OHgFF497hFY5pANwXAT6p2eqxPB njSXxP8YB/+wPyWYnFXAvP/hICIcCzU1tPoP9H47gfLq2OX9mcuSi1/SZnN5+vWn042TwBtz/XOm aYTHvPdVXxcL4MbnpbSKgVWPIG78Oln+AH7q+wu+Tkl6zBpSoTTWvda6OZ73cLjPoja6XgRdf0oN HJvhFv79D4ewLnmc4ZxS7H7vIG6/fBzJnbDnvu7GLd6UL7ldxec//nnus7/EkV2bUZDUDuPX0XMJ SEACEpCABCQgAQlIQAISkIAEJCCBx0tgWQ+n8NPf7koI4Lr0ZbxM3XPy/TQu0Ba3RkEZns08skLc yt5PK3btSBtoyyn/OX6Z5qr5voHYuLtjA0Oeif/457tTArjRFXMYyH3Ze9iAkYFh5wZe0bXTPPHh lxyGIFMAN82G/+TZOfj5H/6A9983Qyb8wfpnnr///h/gHaueRrBvYAF5LEDNz7wraKA/sT/txNhA SqDV7KCwtibao3o2POzZCze3dkdqANfNXVY5dtQWuq/iHv+B/jHv0ZPjVrKe+spexvt7FMBNdtFr CUhAAhKQgAQkIAEJSEACEpCABCTwuAss6564OdlpIq++NPOz8xB/GX2s8rJRZK44T+4GGVthnme5 CTe0Sl05C1X1z+JPZ79NWRTLzyTC4ZSuoFzfh80Bf8p28TOKqmrg4zAMKVuPjXHs1o3R4GL8NvHP fc82Y7N/ZXTdzMrJQ9xIBLFizE5jcmoGU5MTmLxzB2Njwxjo/9Z77NrYVtFnpdX18P3lbIrh3Lf9 CO8KwOaZxXDf19Ft4p/U1pZHX965lRj4jS4I9+PChdQ2YC1nm73V590AR0YiSB/9dVP3YVfzRqyM WnTzrEcJSEACEpCABCQgAQlIQAISkIAEJCCBhyGwjIO4Pvg9o3npi+3zFy3u5mfpk0paUgZ/8iXy SWvk5nsPUzAeHMF0E8egnY4gOJW0kfUyH/mxSK/XCkB2Lrxj0GFM8M5s8zHV1Hj35PXe2TKZOzuJ 0aFBfDs8hNGRMYxPpYSwF5fRvAr8jB1h/5ISRx3DwO1pNJmhEmZvs1esR7K5tQjEVe/kHe+7kU2N feu9vUeS8bOy0/0oEb9SYS0q5mmD8avruQQkIAEJSEACEpCABCQgAQlIQAISkMDjI7CMh1MonD+4 mVQP+f7CR9NTsbAgTQ/fWAayiio4IqrH5AZocwpQ7XlFfx5y0nQsjqaWVYR1udFXi3xSiEpnTN5F bvhftno4eAHbX/6/cPzsp+j/euTBA7hWSXIQaHjWs0z9zpAK0wzCpo49DFT8rAaxUZZN3+n5Ksxz N2lnjt8OzzssRuG6ioQ8pE1MCyQgAQlIQAISkIAEJCABCUhAAhKQgAQeO4FlHMRdQs/LR3UDrnQ3 /IpvDnMz8FzNnTk7gWGvCCGmMT1vUacQ8ezFG5+Bx+P5RLAdB872pwx74Fk6X+GiwqkFlTXwiqOb IRU4oAHGBgY8dlOIukD8rfU8VnnQWWP/WFh5H3Q/2l4CEpCABCQgAQlIQAISkIAEJCABCUhgRQos 4+EUlpHn1DDCs1tQnmFA0umJ297js7o9cdmPMr43Z6x080ZweZn/NLwv4I+l8lg8mx7GYY9xhd2y FVbUoLa6EqUcNiM3Nxt5ORSNXMEv/vuf3FUyP/LmYg28w93vv00255AKw4OYSJnP5Mrq0990Lmlv hbXN2PVsPuYW+WOCL68oTdtI2oFeSkACEpCABCQgAQlIQAISkIAEJCABCaxKAQVxF1Tt/8Dt8WmU ZxiW4M7Ybc+UopfBZ+WjguMtjKWMyTqOb8NM24zJmmaavj3kfU+23HXIkKU0qS3f2dMRc6M2r6kQ zb87gkBRqtHs/N2YExIsq60Fvu1NmGde9P6P36fMMzNqflaZMr+oYh038OhW7ctHaWlpyvqaIQEJ SEACEpCABCQgAQlIQAISkIAEJCCBBxFQEHeBen/rGUH9nkCatSdw5W9ed8Ti+Km5buAxByXrGMUd T4niov9vQfyyfGPa8XyDf+vz3G9u1T9pnNSF3HjLM4eLmzkVDntu4Ptpk2cA16w8FfZ290yIM3NK a/BT9OLrdCskzK9ArUdw3ZcT7V6dsPZ4Xz8mtpQi7h5oCcsxPYpzv/8bpuI85ybn8Ozu32Lj4xSN Tyy1XklAAhKQgAQkIAEJSEACEpCABCQgAQk8oMAyHhP3AUv2kDef+/YszgUnPFMdvHAKXydfoW+t 6UN9tT+6TUlNTfR5wpOxT/H7a94BzImBc/g0TZyytqYkIZkHfTGXZmTW8du3573x1oPu22w/Oe7t m350ggl0/2nEe9dp7z1WgJo6r5FxU5PJramD12i4WX4O6+B1o7m5r9HWNZqakDVnGld+/z/w9dgY RkZGov/G/hFBQb4b6E+zqWZLQAISkIAEJCABCUhAAhKQgAQkIAEJrGoBBXEXUf1fn/0NWs9dwWhk AhMTE4jcGsaFY9vx+/7U3rVWsj/+OSrzYjvIKqrBL9PED0c+PYB97T1W2tPTHAM3Moqec634TUea PqOFP0fNQ+69WVAUCzjHcs1nY3/Cy68dw4ULF3Dq2CkMcPiHRzEVlKTZ/7ddGJxI2idvFNdz7L+n CZ6zw/Pgbd4yznsqralf0A3R6mrTBclz8LNm74D8P3qP4xf7ziE4GoGpx+nJCYwGe9C6/VX8aSw1 0p/7011Ypxiud0VprgQkIAEJSEACEpCABCQgAQlIQAISkIAloOEUFtkQ/vH1n3Cc/xYy/Xx3ddIQ CVnY3LILf/lNh2ef1/Fv/4Lj/LeQ6eWW2od+M6zswrQDAXDcgjH099tdgsP9YVTvKF9INhe1Tq4V RP7WY5t/4Pe/eRW5hT+Gnzc14xgKGEkdXDhxu5mZxNfxrwoq8DOObPGXNLF3a9XcWg7hkP5Odjnl P8fPf9yPv3gMjYvxr3H2eJrge3w+UIhdTRxfV5MEJCABCUhAAhKQgAQkIAEJSEACEpCABDIIqCdu BpwHWfTjuoOo9+opW1CN3/3WuxfnQvf30+b3sTFDgHGh6SSvl5PnX1AP1ey0QxUkp7i412aYgjqv YQqcZKbG/4GRb7+dP4Br1vcettZJKQeBhmed594PZXU1iOtE7bFSDuqPvIcKjyULnVXxcot64S4U S+tJQAISkIAEJCABCUhAAhKQgAQkIIFVLPAIg7ipl46nc87QZzLdJv/k+bn4ac3Cw3UmgHtiS/qe qgVVO/DxOy+zH+Zip1z88uAfsDuQocfsYpOMX78ggIM/L4uf89CepxtvN3EHOdhy5LfIEMdNXD3T q/FhhGfTr1BQWYs0I1two1zUVXuNhpuUXpYf+//8Pmp/vPiodsXPD2L/xgXsI2mXeikBCUhAAhKQ gAQkIAEJSEACEpCABCSw+gQeWRA3Jz9NoDG3HAUJY4Dm8BJ5r7Dd4gNjC+pGmlDHC91HLmp27Mcf Dv4SZV5ZddMsrMCug+9nDOC6q+aUbsTpP/8BzT//KQrny4aPQeS6Zrz/6UfYXJ65f6ibfuyxAHkJ 3rElXs9K6w/h/YMvo+LHmQrqtWXmeQV+7/FuU4peUIWPPn4PdRXzhLh9haj55UH8+c9/xi7PuPM/ EB7PEMVlADaQLopb9jOULdisAE0nPsPv/p1m81ckKmpfxu8+/jP216cP8ntKpkB5rqWZEpCABCQg AQlIQAISkIAEJCABCUhAAo+hwL/8J6fHsFxLLNI0eva96jFWaiEOfnwa5U5gb3oignAkgjtTdh/i 7Nx8BqL9KFhMtDQph9O8UVqY6U5NTWHOdGL2+ZCbm4uiAqabGPVO2vJRvpzlzbmYGWZojhFyZsnK V05W+rFiH2pupict54k7dzATNclHUVHRA1nbeZxA+/bf4FuPDuM1//4H7Fi32GC5neos8zzOtjFx Z4p5thP3Zecin3n2FxUkjZH8ULWUmAQkIAEJSEACEpCABCQgAQlIQAISkMBjKHDp0iXoxmZLqNic giKU89/DnHIKCphmmt7LD3NHi0orCzk5/6SArVe+cvLgLzX/vBYuZt40JsJTHCUhG9lWJHoGAxcO ewZwgTLULDGAa3KU9dDyvJjyaV0JSEACEpCABCQgAQlIQAISkIAEJCCBx1lAQdzHuXZVNltgOozD B46DYdx5p9yaOngP/DDvplpBAhKQgAQkIAEJSEACEpCABCQgAQlIQAKPROCRjYn7SHKrRCWwFAEO A7GwEX59aKpbt5Q9aBsJSEACEpCABCQgAQlIQAISkIAEJCABCTwyAQVxHxmtEl5pArk1/47AchvR YqUhKr8SkIAEJCABCUhAAhKQgAQkIAEJSEACD11AQdwkUvtWZUkz9XJlC5h7s81TgtyKX+J3O8rn WUuLJSABCUhAAhKQgAQkIAEJSEACEpCABCTwzxfQmLhJ5tm89N6enCc+EwGMznQX6nElCfhyUFKY ixlG6GfMn7k5K6jryy1EZVU1amprUF6Us5JKpLxKQAISkIAEJCABCUhAAhKQgAQkIAEJrCKBf/lP TquovCqqBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIIEVI3Dp0iVoOIUVU13KqAQkIAEJSEACEpCA BCQgAQlIQAISkIAEJLAaBRTEXY21rjJLQAISkIAEJCABCUhAAhKQgAQkIAEJSEACK0ZAQdwVU1XK qAQkIAEJSEACEpCABCQgAQlIQAISkIAEJLAaBRTEXY21rjJLQAISkIAEJCABCUhAAhKQgAQkIAEJ SEACK0ZAQdwVU1XKqAQkIAEJSEACEpCABCQgAQlIQAISkIAEJLAaBRTEXY21rjJLQAISkIAEJCAB CUhAAhKQgAQkIAEJSEACK0ZAQdwVU1XKqAQkIAEJSEACEpCABCQgAQlIQAISkIAEJLAaBRTEXY21 rjJLQAISkIAEJCABCUhAAhKQgAQkIAEJSEACK0ZAQdwVU1XKqAQkIAEJSEACEpCABCQgAQlIQAIS kIAEJLAaBRTEXY21rjJLQAISkIAEJCABCUhAAhKQgAQkIAEJSEACK0ZAQdwVU1XKqAQkIAEJSEAC EpCABCQgAQlIQAISkIAEJLAaBRTEXY21rjJLQAISkIAEJCABCUhAAhKQgAQkIAEJSEACK0ZAQdwV U1XKqAQkIAEJSEACEpCABCQgAQlIQAISkIAEJLAaBRTEXY21rjJLQAISkIAEJCABCUhAAhKQgAQk IAEJSEACK0ZAQdwVU1XKqAQkIAEJSEACEpCABCQgAQlIQAISkIAEJLAaBRTEXY21rjJLQAISkIAE JCABCUhAAhKQgAQkIAEJSEACK0bgXx92Tv/n//yfDztJpScBCUhAAhKQgAQkIAEJSEACEpCABCQg AQlIYEUI/Nu//dtDz+dDD+I+ikw+9FIrQQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACK0RAwyms kIpSNiUgAQlIQAISkIAEJCABCUhAAhKQgAQkIIHVKaAg7uqsd5VaAhKQgAQkIAEJSEACEpCABCQg AQlIQAISWCECCuKukIpSNiUgAQlIQAISkIAEJCABCUhAAhKQgAQkIIHVKaAg7uqsd5VaAhKQgAQk IAEJSEACEpCABCQgAQlIQAISWCECCuKukIpSNiUgAQlIQAISkIAEJCABCUhAAhKQgAQkIIHVKaAg 7uqsd5VaAhKQgAQkIAEJSEACEpCABCQgAQlIQAISWCECCuKukIpSNiUgAQlIQAISkIAEJCABCUhA AhKQgAQkIIHVKaAg7uqsd5VaAhKQgAQkIAEJSEACEpCABCQgAQlIQAISWCECCuKukIpSNiUgAQlI QAISkIAEJCABCUhAAhKQgAQkIIHVKaAg7uqsd5VaAhKQgAQkIAEJSEACEpCABCQgAQlIQAISWCEC CuKukIpSNiUgAQlIQAISkIAEJCABCUhAAhKQgAQkIIHVKaAg7uqsd5VaAhKQgAQkIAEJSEACEpCA BCQgAQlIQAISWCECCuKukIpSNiUgAQlIQAISkIAEJCABCUhAAhKQgAQkIIHVKaAg7uqsd5VaAhKQ gAQkIAEJSEACEpCABCQgAQlIQAISWCECCuKukIpSNiUgAQlIQAISkIAEJCABCUhAAhKQgAQkIIHV KaAg7uqsd5VaAhKQgAQkIAEJSEACEpCABCQgAQlIQAISWCECCuKukIpSNiUgAQlIQAISkIAEJCAB CUhAAhKQgAQkIIHVKaAg7uqsd5VaAhKQgAQkIAEJSEACEpCABCQgAQlIQAISWCECCuKukIpSNiUg AQlIQAISkIAEJCABCUhAAhKQgAQkIIHVKaAg7uqsd5VaAhKQgAQkIAEJSEACEpCABCQgAQlIQAIS WCECCuKukIpSNiUgAQlIQAISkIAEJCABCUhAAhKQgAQkIIHVKaAg7uqsd5VaAhKQgAQkIAEJSEAC EpCABCQgAQlIQAISWCECCuKukIpSNiUgAQlIQAISkIAEJCABCUhAAhKQgAQkIIHVKaAg7uqsd5Va AhKQgAQkIAEJSEACEpCABCQgAQlIQAISWCECCuKukIpSNiUgAQlIQAISkIAEJCABCUhAAhKQgAQk IIHVKaAg7uqsd5VaAhKQgAQkIAEJSEACEpCABCQgAQlIQAISWCECCuKukIpSNiUgAQlIQAISkIAE JCABCUhAAhKQgAQkIIHVKaAg7uqsd5VaAhKQgAQkIAEJSEACEpCABCQgAQlIQAISWCECCuKukIpS NiUgAQlIQAISkIAEJCABCUhAAhKQgAQkIIHVKaAg7uqsd5VaAhKQgAQkIAEJSEACEpCABCQgAQlI QAISWCECCuKukIpSNiUgAQlIQAISkIAEJCABCUhAAhKQgAQkIIHVKaAg7uqsd5VaAhKQgAQkIAEJ SEACEpCABCQgAQlIQAISWCECCuKukIpSNiUgAQlIQAISkIAEJCABCUhAAhKQgAQkIIHVKbCMg7jT GB0d5r9Rz3/Dw6OYno7AenxIdRfh/kITsw8pNSUTYd2FJpexp2k/oxEs4xw+lEY0HRm1yvlQElvx ifC8wnPHpFUO83wYken0hTJ2o6GJ9Cs8hCX2PuwcpSS3iHOcVc8smylfcplmJ0PWudKcL5fPKc72 TznH34ogQ5WkEKWbMcHzjylvskW69TX/YQjMd0zFH3+Z92fej0cXUXkP6/3mv/Z8afssn2M0cx2t mqWP8LNCxvP/IoHna7sPc1+LzFrK6sspLymZ0wwJSEACEpCABCSwjAWWbxB3OoxTx07h2LFjnv9O nTqF77+/hlOnjqF79GF85Z/GNe7vQM/tZVxdKylr07jCujvQtXw8Q9fa8euT16IBoulwD9vYPow9 jObzX1g1yeVKzkr42imW80q03MnLH+fXs6Fr+PWvTuKWW8c8rxzjOaPLnDPMOYbnkSthd2GqRPgK z0EHeh6pXbiH57gDXdY+kvM7HV74Oc6HiHU+NOXbx/qO/TgxgYtvHLCWnTrVjom51HIues5sCOf2 7sWv97bHbBebCP3b6Z9yjj+8D69sbcXgA0Wy7POPeX/oyVC/i8nyxOAX2PvrX6P9Smgxmz3SdZdd npxjqrV71Lvc8cef9xrOXL4fm7bR2r3AY2/p7zfJ50/7fHkUD+VjRcYyeiy0/Nhmb6c/J3lspVmP WOBRflaIP/8vthiLbbsPsq/F5m2+9R9aXvhe1P6rX+NKSMfMfOZaLgEJSEACEpDA4yHwr8u2GDnl +OSTT2DiDTm+GXzR+gb67lTjg092I3dumvN9QKTbyr7Px+cPYfLlArkPJ6mHkJuVnkQO6g8dQiDP v3wKMjGKqbF803KsKcffgP37q1GSs3yyuKScJJUrOQ2fL5sNOzta7uTlj/PrLExgai6MObeOc/w4 tP8Q8vycwYZAGWRnOH/4srmG8XuEk7/hEPZXF8DOYlJ+nbwt5ByXVbQRh+r6caw3DIQv4sJgALur 8hC5cg79TuA20Pwuyl2LBylT1hxujY9jyqSx1PTon8fNrTQKK1BbXoCpidsIjjD/CKPt7W588sfG JSbvQ9WOLfBN8LFoqRk0hYtN07eGMT7F3E4+jCh4LN0Hebbs8sQ6zTcFSndMxR9/8xQ8zyQ0k7fA 89YDvN8knT99PqsE8D2cZjNPKZMWO3580LSMBB7lZ4XE8/8iC73ItvtA+1pk1uZb3d9whO97eUs8 v8elzvei0bkpfi/QUROnoqcSkIAEJCABCTzGAss3iEv0rJwcZDn45ss+snORzRlZWfZ893f3kf6L CJ8bwMg4Q7u5Fdj11h6sd764T4duoL39Ipfxy7evEDU7dmPnc6VOqhkeJkdxvv08BsbGrUBybmEZ tuxpwXMFYZzc146i3e9i27oCJwH2Ajq5D9dytuDEnucwl3afEzi/tw3+nTsw138OF4NZOPTJibig yiR6jrYi6N+NE9vWRTN360o7jl3z4cSJ3SiaC6GzvQN9DHSYUEJhWQ127tmJcgKZXnyth69g45F3 sbnY/gY6O/EVWvcFsfuTN1HqYkZTBm599QXOdfUzOMHU+MW7rHoHWnY+xw/W3nn1TyzUk5eFsl5u B1pQnj+B9jfakd/UiLnedvSFTT2VYUdLEzBwER39Y/a+a3Zh/7b1rHP2wmp/G1emS1E8N4zgmKm7 XFQ37MGO+vJomwjd6ETHxT6Erbyzbpt2YufGcqt0g+foWNKE6rkBnLo4gMr1T2LkhgkX9eGNXw+i fv+7qMkaRldXBC3ryjHBXrrtg35sC0yiraPPsa3D3v2NKHLcRq+dx/mLtCJVbkUt6v1TuBYuw7tv bkz6IsL8n3wbg+UNCEz2oqOPQSnmv2bHHgQQRHtHPwNXPqvu9u7fxvTt8nZPb8bpaFqzuNHeioGS PXhzczEmRq/g3PkujJmdM62KmibsodXtzqNo600sl1v3sWpmEHJqEBfOMUA2MGb9AOIPbEHLns2I tuC0bTaWSuzZJL46fw4X+kfsY8NfgaZdPOacNmcdcx085sImXyavW7Cbbcocw6bn0Ck67wywTdDB /BhTxnpvCszh4qkOjFnFK+Mx3GIdw1abPnUFpVXFuNUfxLhJ0V+N3S07sK7ArpjJW9fQfq6bNmZ/ xtUs34m82514u62X84B29qAsr9+PPTVscl90o+LNEhTxRxsTnh3ovoDbE0HL1pfrR8PuFtRHj21r 8+gf0+baO3qtNuBj4HHH7j14rjQ52sO6Y/vrnqu3zgcml5GvzqG1awItJ97COgNheg+9cRi+LSdQ jwF03a5Cwdw1HE3K744Se9eZznHRzPFJeSPbWO8+tjKWq+0iaj6oxoWLPL7MVFiHHeudGp+dwJWL 59HD9jDDRdn5JdjcuBP1VUXWquaP3eZ6cPvODLKz81G0biN272CbmRrGyZPnrLoA/57b24rSzbuw e6PbTu1tjG5JYDN2NtVjvjhqHc+tjcV2fe4YPo9XTvVbbTY8GcAAew+Hc6vQVF+A7vYLGMvbgk9O 1DNAO4qL5y5i4HbEynN+SQCNO5uiQduZiQhu355E0Uw1SvNMHU1juOcivrgSxB02lezCEjTs3I2N DB7b0yxGr1zE+Z4BsMg0KcK6jVuwY/M6HmcnGRw3rY8l7mNd3i7Hrv074WTZ2Zy9kw93IJztR3Ug m6e2foaiAX/VFuxqKELfmXMIWpZF2Mzy1jv7vfVVJy5wnxGzU075RWWo5/vUc6WmoUzg2vnz6B5k PVmHUz6qAg3YwWM/nDZPGcrJdnfusLdnciu2MsM/9ntID+pPnMBz1skwYtX5RNV+vNVon2/NcX34 Ct+j3q22zs/hkT6cD/PHgxGa8X23ds9ebDNti+0uevzlsL6d99l+vs+aY9fP8+quPY1wTiVsA0Fc PD+Kfp5rzPKy2j1o2VaVdL41OY17v2FjS3e+TC7jsMf5s8QuAfq+OIdzfQNWOy8sS3wvWNh5gLV3 4zxODvmxu2YO545dBGoP4cy2cmTa3m4FpkxmmsaNzgvo6A0670m1PLdtg3vKSf/+7R6/qe8ZtkHm dO19c++jPdh3ahi7P3DOW1aWbqF93zHr3LX7uSKrLOneh612wd/aD32wJ/r5w5wLjw74cfqtzan1 mO5zFxvEUizdcpjH+T8f8Vg7x89l1nsk32d4fm/aY7+vzfKc92g+K7CJj9rn/7JynjOszw2N/NzQ bX9uyNDml9J2Y/sqQBbPn+fPnYd77BVW1GDPnm2xYy8Oz3rfvjKNdaVznp8hMtVNurYxc4vl5rFR Um5/fsp0TKQ9T/Dz4dHWNuuHwP62NzDMH+ZTP4/FFURPJSABCUhAAhKQwGMgsHyHU1gEbniAQbFS frFtqkH21AjOHnUuf2bA8bUDZzFyJw+1W+oQyB9Hf8dhnBucmCf1SZx/4xg/3M4gsGUHdmyp5jf3 MXQc5qWdOQXIY2+svi+C/HrlTJPDuDgyheJKBhgz7XN6AqPjYVw4dpgB3HEU+kvYC9BNxDzmoShv BuG+LtyKXgs9gf6L/AJXUMFgXwTtrxxALwO4JTV12FJbwWyx591rRxHi+nNzEwwujWMi7lvg3GSY 8xjwZXAseZpksOQwA5YzRdXYsWsHakqyMdbfYQ9P4ZXXqcV5RkbDGBg21jMITY2j92wb+rOr0WQ8 p4znAQZwZ1C3g8FWfr8f6ztrX+bOLSZC4xgfGUAw4kfTjh1cPoOBrmM43HPLKsbEV+04cLaXQZIS 1DVtQYWp2wvHcPRKiMuncetWGEG+NgFcX+6TyPtfcq2gndm4yF+KXMYP5jjOXTgcxAQrcm4ixP11 4RQ9TJ031ZTRthdHu+39Ra4xiHOhH3dKarCDPfyKxvpwkV+sx8PebWliYhwjXWdZvmxs4fpl/JrR 38HL5hm4XLelCVtY4HGmcbR71GSJQQf2akxIaw7hwXGMmcpkm9rHAMAYqphWE+sJGKHVsStjmJ5j m2Ew0kxuuexX8X9NcGwcAwMRBrp3WPsOBy/ijdalHCez+OrkayzXCIqq67BrRx2ywzzmDuzD8CR3 wx8NXjHHHKNXNSxnbUU2RtimXjt6zbq83zhP0bmtYwDVTSxLmWlzZ3HgWAcmAwwyOm3DPYatNs22 M8AAbkFtk7V8JszAPAOg1hAJPPZaDzOwN1NEG5aNOOaYaKMrO+yjyMHJLvIj31Q62+Iwj+UxZ0wB M2eK7SxSYOq1DiUzYXSdegM90fEXuIIzTdyw29wdHi9bttQif3yEbfg13EhpAlnI49UD40H+wGAd xwwODgxgjm1+YNReefp2EEH++FBSXoTpyDDCA6OY8cyvvfO05zg3c9HHIuw4VOu8CuLwG6esQKIJ gO140+3Vas5vb+Ai63CKJ4Y5/puiSVfbPrR/ZedvcvQLvGHaHAPj1nLWwRh/cHnjjS8QYaDF+lHM 2cs4z2m3IjMw55P4bebYO2psoAv7XuEQDtH8pXkSd36KRNy12QuTjrfC4wiP9HLYBdazCWRG2NBY 729Y52hzbrPLMD42gLZ9r8EuAnsK03xsbARh0y7Z+ky7PdXFoBzdzX+mzBeOvYFOp65Hz7fimPmR xiy3THj+ungKb5z/vzE8aIKIzsRzbHiM9RWXZ3uJyWuYywZw8QLrnmkwIZhj7cC+UxiIWrKNHWuz zvETX53kOZjnMS4zQeNsrj/O46njMC/nZ9sZPv+29WPJ1FQ2j+98tqFxBHns7/siXZ7mK2caT7ds Ho9Z2Xks6zj6Bk1ImpJsrwP8MWmsd8Cp12kEu/kelccfRtz3M55X+6dK+b7Cc3M2t207Y5Un8fiL 4ORr5n32Dqrr+D5bV2XV84F9XzhjVpu9hRnAnbKO7RqeS8b62jyPTbNm9P0m7fkyZFaLm6Yznj+D DOCWerwXLPw8wNNheJTngQs4zGNpnD++lfvzeDpf6HkE/CHvNZzl+0xRdS3f7wPWe8bh185Z7hnf v+cxyJRuHBByCvJZ9zw3DNjvg2bZBN+3zLmrgueuzO/D9vvq3FTIHAbRaTI8jKnb7jEenc0nGT53 cemDWs73+Wjw3D5cYAC3rJY/3Gzhr308v5890IYQ9/0oPyu4539DZH9uaGMAF/O0+aW13di+JnDO On/ydwXzmcC8b/KHlwPH4ofhYYacyXrfpke6zxCedZPxMxrLenuQn3Ei1h4yHxPpzxMTfNPMKyri uxun7CKUFpmfZTVJQAISkIAEJCCBx1tgWffEXSi9v+4QTjg9gspxG/sujiAy24jI+bP8ql6B05+/ CcYIgfoGlLRuZ8+ea2iqcgMaHnthcO82P1HX7D+NnetyuMJGFDFocKzffFQsQH1TGb/cs+ffZD14 tTIiQfYaA3sbVRXgK/YGSLvPD9ZZfXzAkN6hT96K64Eby0NFwxaAX/r7xyZRyi57s5FB9tMD6hrW WV+Ygnxe0/IBdnJfZqqp6sQrx3oZkAmhxem1Zy2I/nG/VUdnRJ9MjHK82txa9ojZZveICRRhcPsx ezk3MwGu+Lx+dXJr+rKl8UwIUpc14SOn941/8haO9c2g5aMTliGq/Rh29829GnX4OHzGH3fbvUU3 BpC79xX0dnUhVL8TXR2UyK3h8p328s3V6Nz7GnovXkRoc0u0h8+WQx+xxxsriVOoZy8OdFdhP4NZ pmzTt+Jt7NLWHfoEjdb15hvhu72Vl6QzUNqYh54LDOKwJ+NHb9ntZmOgBK2vHHMCZFbyCX+s/LOe j7CeTQ/omqJJ1lMfqls+si5xB6oxGXwFQefLbY757hEXfLcS4zwze3Zuhu5AgO23nj2fsHEzStqP 4nZuPtZv3sPAfyihXNa2CX9m+cqH5g/+CLsj5kaU5DJg1duFgUgtsr9YxHHCHqsdhoI9yk6wR5mZ nltXhK1vdGCU0fDJ7g7OyUUL92U10frNqOo0+7qA/giHrnBa1ZYjrBfTnazGj1HW+53q/Tiz2+59 bh9rVtLRP4HmD7DH6UUaKMm12nwXg9ItJRwig8fe/tPsKWahBzA5QFduWbS+EW+Ra+uBAex+iz3R TWqzVkTP/tJnXvKfL9CMPwoFzUAAAEAASURBVO5Zb5ZiY2Ad9rJeu7qCqH1rozXP/hNB11mmWrYD nzvz6xlUObqdP8hcGcV6x8LdoKRmM9DfhUFGcUtL74DNyJoGhxgIYznCg+aormZvYhO6MBN7EHvk d/qWtRDpznFevetzyhmEKOvDBWefJoXcmv3YaJ8yMDnYxQCbmetDE+thc6nP6jl8doABwo7zqHtu N/rbGUUwazjHLEJXGJxnT8KpPozmXcKlT2wn/hTFc9kZnsvYc/9X5jzIbSp24CP2KPdFbuCNfWdZ P0Gcu9aAtzayMtJMfecO43ZeNiYjt+2rAsx6/ir4o+chawZ27G9CCQPyt7v2MV1OvgCOfMRefr4I A9P7WK45dJy7hsBbAVjHlLUS14sMsN2aoygXu05/YPUoHT6/F6f6+ePShQE0HCpCO5+bqazpCN7a XMoiH8UB9mKe6r+KjZcuWe34MIeqMG3f9Kb0muyzCI8Pep/YWYL+o6/houleDj/281xXMnEFrx2+ yOM5zLYxjSrm18fgXhmvMniTVxmYH0F+xWPJbGF+hRgedAqQW439JxrBrsI4123azv+HxjMeeYpc w9ZM5Tzid45AswN/1NM+X5l5HlMOewZzVJyLX41htr6UPQeHnZWCuDXB83Mug93MZmCnOX4nrGMK fru3tEl3I9vX1n28KoPlLXdG1zFn3gleBWJC47U8R29zzrnriqbxRoe52WADl5iJw5+4V6tsLMHt rQd4LEXQWGodzfYqcX/N+03682VyKXN43KaeP51DDt7vBTmLOg/4HO2yLYfwlqlfjlvdvjXDeYRv /9GJbeEs3yDKdpyOHju1fJ/czvGzr4w2IZDh/TujwTzp2nXh5KKAPeBZZxfY5iZZ9/xEgmEG7FG4 heculiXj+/Bb0aLEP7FH2jAtIGnK+LnLnK3so2vBlmmO0cS9uvngD7/D5qgrRMOWeus9e2OVH63t EWev7npm64f7WcHOj52+3UIX0uaX0nZL7V2Zdz/+SG+OYl+gHls2P8cSbUSV/xx7zzu/CDtrJj6k /wzhvq/H181J087TfkZ7yxlxxZQ783trqb8n7XliIncb9vBNfi/PC1W79/O84J6BE3OuVxKQgAQk IAEJSOBxEvjXx6EwFfyw7U75JRV8yl5v/AJsd+gawZnWVn6zm+UwDOzXY3UmYg+A6UbPIKqVDsfj PXHpE36oH8QX50YwNhzkJftcUmjvpai6HrnsoXWFPXqrNmbjqx5GSzhsQCkvi7c7+abZ58w66wtu bm1D2n1nFQVQ67uIvp5B7Obly7ev9XCnAX4RzsHk2IT1vN4J4Jrc5PBStAB6GUBjBLDEzEmc7K8G ifPcV6WNJ/DJxlsY7OGX6eExDltg97Ryl5sAVyyvD+DpJFhYUhINrtpf5NaBHZOiU3b0Gb9jsDi5 NdXRy/1NWLd+Ww16Tw1iZmLS6olUwS9bTlyKW+ahfieXH+PyaSeh3DrUOAFcM2fOJGoe+S/1o74p bSHWxQ2Q669ghfcxxOZ84amojxs2IaeEvUj55TZiUkwz5bJnmrsjq8Acn7MkVuD5hlp1Qw5ZvNTd tOpgBy+T7+DwBNVsD7UcFqTULn3mcpm8sdy+Witg6Oa0vJ7jhfaewsQkB3YwzYpfkxZynEzzEnUz bWRAJToVPIdLl57jy2l0miZUwUvaYxWD8o11YDds7os9T60joBAlZkzauCkQdxm/3TbiFjLwVhM3 vEFO+WbU+Hp5rE0iZ3MjA4obGexicGtkEMNBBt24qXOosqednQ5PB2nHbq2psYPH1po89rfV+HCK AWJnUzuB6UmEzLOxi2ht7efpxJxP7thB/OAwphkwiC9RVnGAdcYgLnsaNXIIlhHmaMuWAgaHBzG5 pwzDjKL6au32bQdxnd2kya/3OY7buO3L3tz5y6/kvFz/ymtt7H9tpgrs3xkLOkZu3bLXY4B2s3Nd 9noOdXJxwFyWOsHjK4JRg8hpC48pq1zFm/HJR1VsSdnINU2Yh0vCrk3PfSfvTduc46RoPXZXX6Tl FIOzppTpg7hz7M1rXVFvdmpN/KFr/2buY9SdwWDfIQ59YHLDdjZsZ7CsqcG5tJw9sXfXoN8Mw8AT f0LdcYvJCffcNoOeM62sGR4V47aOeVMwPeqdFNHEAK6Zijfvx0dVnMsD1RQ5vp6sFdL+yUUjf3Qz PmX8gQPmvFoYgDn0c7J5TuB8kxvTO7G0/i2cLhlEcDCIk63n2YPdyZOVdg7WVeWiz0Tcp3rx2tZe jkxQhpqNDWjYXGWtkfxnvnJOMSjqTjFPd066xyxU8aqPix1fMd/1mAiO8Ny8BeXsZT1kAtG5g7Tj MVpmDvoJK5HCirLY8cDzlzkek4cSnrDeoMtQHTdIc8Fzb8I6lbCOrVticnik2KmiAAHGmLqTE0rK 9nzny6TVPd4X2LjTvhcs7jxg/0yUi4Ya5/ib7zyyJXYucs+1Y91nwFMOzzlsUbxSwEzD7BW9bVv6 9+9MBtOjESuNdOmiPHauMEd5gFc4XTjWz/PtTmzMvY1uZiHQzB9JeMyb2s70Puz9+SP+nd7Kiv1n ns9di7ZMOifH7Sn6NJa/HDzXUMEfdEZwePtWDtlTgUD1RrQc2Wh9xjBvH7EpU/uwg6OL/qwQS5wf fBbe5lPf+zPkLX4f/PzSYD6/BDuwnf/8HIKoenMN9m8sTTyvR7fJ9BnCfV9PbOcLbhvzHBP/j/UB Jd15ghmcnbF+/zZXTyS9K0VzrycSkIAEJCABCUjgcRJ4LIK48ZfqJX9556dxlPqdL65cWFLGL0m8 BD0v9uk9tT7Z/e3kK4etX/8LywL8cL8DJVfYk9COAfKb+Dps4QfgDvZImQ74YYYkravlDHeaZ59V cUFnd5PYYx42N1Wg78IVXi6+jpfOsp9hXW3cF4nkG1Rl8zLx1E6cbnozUyY04f2l6dYVXsrLXsvm C2ug5jnsYL4ucPiB+Cklr/OULX7b5Ocz8RVlBRY5xnHcSi5vdFZyNC87fm32iS5IX4kmXuurWhcL JEQTnedJwvcAkyN7H2bPOcm7S8nwPGmztAk9k+NWT/ySaBbMIGKqzkxZxXiTPyqMsvfmwDX+G+jD CP/5qlvw+W7vYI69YdzfRDoWy5dgv+DjxDLwocAMTh03maCmO/kKTKAtbsotsII4cXMSIumGMTup bhPWNTlNsGfenfJM32IPUfZsNFNZoAYNu6pwhePxLrRqrPUS0nbzkjTTyVCuvwz+6C8PpSjjcBBz eaWJ2bPWLcDmagaDeRn+aBGjHr7nUM0hNLq62jF6qwqDbGcN7FW30Cn+0Ek5x3klkleB5xg562JM sLC2HsVx67g92nwFJjTpTAxUGlK3ydlzc3k/vFg9m5ur+dLtnFz2mrlgh9rolM0b6iWnGl0Y96Sw thl7AuayfVLlFcBfxDEbzfJosypkT7G4duUkWxB/IncbRVy67tPJSMR5OocZ/pqXx/aaV1Zh3cjS nCKn/l+nvn3uDebM6lk8THwpAWGPynZ34zzGjnPrxwMzN/rLUiKg2xvYrGLGYw7w/SQYtAN1Zt66 nX/Ee1XX+KPeFXt8dg4B0cfewX3X2NP1TL1ZxZ6c7M9XzsnogZHk6aaT5rGAPyj60IbB0VHc4W+W 1Rz2pHyGw88MDqM6N8hGxqsDTPU49ZV4rqe5R7p2luO97ZVmZ3k2jDW7hC3NeTKueSUsi754GOdL k5ipqmg+TAkcZD5b+HmA27G3eHzT5eYL297Znb+81OqRbrYzv9SuI0Aef5zM+P6dweAjjhRgpnTp 2ktjf82PZhXox5VgiD9CDvAcYV91xDGIrJUyvQ/HUok9m5q6412J833usj4zLNEytvuEZ/Gfj4o2 volP1o0677EDPM5G+C/XuoIlFlqP2zxN+zDt88E/K8T2s6A2H1vdfpYmb7HV+EPfW5ewbnQQ1wau 8TMFh4Axw8CYq58+d65+iq1sP0s+8BI+Q3i388W0jXTH1P86Pcj9pztPxO6bkZxdvZaABCQgAQlI QAKPq8BjEcT1rhwGmkyMYrwETbt3RoN5E4NfoOuWP9ZD0mPjaY7nZ0KbW458xku+7W9xo7zbez8/ S7pf46oaatFxrJs3TTOfbKutnrLmG2zGfXLjxK+CHjvnrAJe4lbI8VwvtJ9jzydewrax1FnR5KWf 48SyB53bxXNiEIzzIt8EWHKcoIybSa59O8gv2Pb9wp003Af2Gu5hKf1N+OyE6fHGaZY3CjJjyDrb J+Z16Z7uHhf1SNapwUEOZVAarbuxPnOJN+8czgxaEt2D2MmeyO40zJsD2cvtOekCpnE87qaZH539 BXsHeUn/Znvd2dvoN7EWBtAffHJsZ3Ki7QscbsKtudnIVzh1PswhAbZxKIbN2M1eal+dfAUdwVFM xwVx05fLYHJs0Lje5xMMCJuAnQlSZWyzdvNPKuIce6FH2Au9yJ7PL1nbX2lDRfNp66Zdc/09CPHS 6mJnq4nBPqtHaFX6DCaln/xyHMO3eSm222Nvcthp8+x0OXiNK3PYis/sYStML83IhYsIuo3YScoX F/+LT90cvaZXG0rLndkcg9r8KuN25XVX5rX55ui646e/M+yDWTT4RTtu8fJ+L6aSakZL2FuR92tj j/Ya5DE4GWBk6GxbG7esQFVxmkxxabr8mn0ubEoMFsZvk1NgN9q5gW6MNlVZVwVEBnqcXrssCQOv 1qmTLaTXDBVhhqqZ5hi0r5yy2syODz5jjzw3RfaCMruijz1rCt3cpsoa3iaEbudmYFkFRjr9VBWo QvGCL4V126y5KV2QQ+PU8xwxi8FuewgIQseOI2eXRebHO44qbfVKPvGm3TZ5Y58veM4oqqrG//m/ m4OZE2+EeI2XqpshVaZHeYM19kA07ev0pdil4TNT5sz4MKYZ/jAzbiUUHS6El7oPsmecXXu84eE5 jiMe9qGh5Qx2F3BIGN5A7MAFnhnG2St2mjd3c7Lh5mm+cpZmrob0hcorQy0ruPfUKa7DITT4Q0ZR ZQA428HQrrnkv8rzGEifoFlijpoBDEd4cznnVDI5eA6vtQ0wcPZJ5k0zLJ3vfJnuqHMtMyRttfPF ngdinxqY8rznETswavLgvp/7q5t4VY6b6wl8cbILRZuzMXg+/ft3JoM53iDQTN7p8v01ZSpCfW0h jnV1oL2Qx4l11ZFZaf734RzrzWUyjmACgwNs3dHzR2xnC/ncFZfQAixjaVu5zfj5iGNJn+P44VW7 sa1xN2/yyHdZ3ij2lQMch5vDBK1bUOMwJLbJo/uskFgm99VCs+eub26sef5wF9a1vIlGfoZgcXlu Oclzy7B1j4Dk32GtqHvazxBuqnG5cBz65/mMZm05zzHxr7cynScuYb3TlsxnGU0SkIAEJCABCUhg NQj8txVdSPubbpoi8DJABlpN0PO1o50YZU+sUd5Zfl8bb8rBS0AXMgUHgghFQrw7NG9q1c+dTQ1i ZMLuamR6p5iAzAhvaObnTTDsr0UPvk8rXznlaAj4eJMXBh14t133SvLimiYrtnRxXyuDaKMYHb6G Vmv8RF6+y0uAs/L91vK+CwzOsLyDPSfR5g66mq7AvEnUwGgIodEb7H18zAoeDPLmHk6HqritHqBs Tj0tJn5gfWUd78U+jm8Z4uXdw1fa7bJUcCgK9nxs4pdKjF3A3nNX2LNxlHdwb8VZjgXpq96Gcq+I Gkti9WZkkKbr2g2E+L1yYRMzn2X2x28KDOS3fnENo+y9cq7VGQ83TaGckRsWtgsGM/wlLM9UN7pv jCJyaxAn3zDj1DoTxwoc481k3j7JdhyKsK44TrKJRznT/OUyIGEc23cOw2b74St4+6wJeJthOvIW dZzklG4EO5iSvhWdg7d4A7phnHvbBCVzUc9Lx6ubzDE3hgN7z7HX3i0MX+PNrsxYsr6a6KX7XGHR U++xt3Fl+BYi3F97q21Tv7HcuWEObxjGgHYkMorOk6+hzzpUecM604gtHAYWv2A78ah0IzPee4xj tnIczolbuNJ+0hqDOuFyWCu3xWhgm5sbOIWjX9zguhHrvNDWx6FWUg8Wa4uckmqG/+wOfQGr9z2D uDyuTSTUx0t1i6y1kv4k5zfaCJLWW8DLdGe5ouoG56J6tonX9uLkyb3YZ8Z85pTLc0x5VjGHfrB7 CYdps7f1KH7tBHA5iDGHyqAa82UfQlNoe20rTl7hj17x2xw9idZfHbB+DDNBv6bqYiv9dH/sS2HT LU2en8V25gweGu7Ca3uPcigC/qhhjQXLHDZVpwQUzfAWpt2aYUMObGWZOab0r3hjn75+BhEZN8sy N6tzOkb3HnsNrUdb8ZoVwDV1VW/V1dycU2IOO7H1Vyetm0km5yy1KaTOSd7GvB7s7kLPlU7nfB5b Y+bWGEd7GOEN21oZcO5hUN30SuOUy/GCeZJMzlOEw/FkKqe9scdfMxbv1q3Y2znqsdDMyuGY3GzN pn2afbMJ5JVWMoxnbhHnw2Z3OBSnvSafFpNfmxRLNzdYQegLrScxeMuc167gKAO47tAv6c6h84bQ 5zlfmn3HT/OfP921TeEWfx5wt7YfF769aZN1fNsZOPUavuD7woR1ftuHvhFzU1UnYJXm/dvciCvd e4YvY7rmjJg6lVt1ZQ95ssW96sh6X8z8PpzPm7fyDIuLXV/x/HwLPSf3WefXTN2pM33uSszZwi3N dpk/H/FGhxxSqq/tbXSa92B+7hvk5z8zOdLW88x/2D6W8FkhPs3FtvnFtd34Pc1h1DqvnMQNfv6L hEZ5BUDch4r4Va3npl2k+wzh/sAQt9EC2kZs7cz1ON95wv2gNMBzqCmLGWO3/VdbsXVvJ48TTRKQ gAQkIAEJSODxE1hZPXGzEz8smstuvSdzV3N+7SzfhiM7ZnD4Au9svq/XWtVXVov3nJsYeW9rtqtH U0WQNwvrwAHTEYshjxoOgNrfP4b27tu8hL2c8wpQw6BOsO8O6qpLo0ll3udopu8u0TTMk3U17MXH u9tXN3DsOXcJg7vvvrcLxw534GLbMWcub05zZL99czCUYyfHeTjW1cfyml5pubyE289L5TgEQ8o3 kRxs3tOEAd41+8KxA1ZahbwcvWK0HyP97Rhr2J+S18xlczPp8cgeMKamJhIW8Wt90jf7pJdcm8Mt 8M7evC+VNeWW1eHdN9dbz8u3vYtdc7yLc/9FHHOW+6t3YL/VS9L7o3vJRgbBeWf3vgsMAhZxSAzL xN5rTkFqDq0M5hdYX+LKt32AFvY5a+u7wBuy8YudP4CAP4ig5/iMPt5Jntlkp6XEKbWE7vLSzTtR 1neMQ8fyH2fmVjAAyMsbZ9iDMau0EYe23GG9sh2P2O0YuWVofqvBahvJ5dqZF20xbvImRZTlBXHK xfRxnNTTu+wfHxZ1nBRg9weHMMcgdm/bYSuvJu0t+9+1x3lmWu/tmsPhjn60ORXjK+RNmd7dafXu nPFwTlXhnKSZvNIcF0/xJmJWiXJRx/09Z6qsYScq+nmH+w7+M8s49mhNxSj6eaft7tsN2F2yETWF /ejvu4ixOT8+b0pJmpRlCF44ZQcXmERZ3X60WImbBGN5MW1uxwx7yLMNWYeXWdcMA+DccM2snTAx GFrDoO1YMD86FIA/wN6LwQHUVJvwrjvF9pGTlN9PNptCek32Oc5riTsvz43HJB/7/IJ95AO2Zgbf R6bG+UOUvUVZTTNanLFzS+uPoGWa7b13hOPF2l/ufbRtebPJqkdwTMWdDOa09dnLwhyTu3jbEezn NqfMNmNOoj620yMtaccAj+Y1OY/uguijWxh7RlZxPT5omcbbbb2Y4hADTggaNc372TvftP/ZpC/w bLcfHQLeZj2Ps8zBcSshf/UuHHJuill/5ANMn3obvWNTCDvjgxcGmvDmjnXWuiXmGO1vYzviS15K bvVATsiWz+nBHJvpY69gE8RKbs8mQTOgSf2eLeg71oW58SC62Lh9uYzaWUPgsPc5zx+N7x5CxMpz GH1dzgmFY2a2vOsc+yl5mqecvNrCnmJ5NK+nJ50xoJ0grLNSwkNxVQ18HMohnzf/s84wBaUwv0kM 5Nfy3OKs6nmut5e5w2xED+28KnxwaAtaWf62w/vslXIDPFdssdL3PodyZGU3oYTcxV7Md76MrWk/ Sz5/bvY4R1kVGH0vWMx5IHZsu/vNeB6ZnYhrKjloPH0EU2/zxwa+L9j9zH1s4+/x3Mcx8jO8f9/e 8nmG94xM6bq5THosWIcaNs2+mWoEnHG0zRqZ34dNTHMzh57qQ1dfh33OZNutLuOPbjOpveXn+9x1 yAzNEm08dv4yWiYVAVmZPh9xzH0ea+GTp6LvwWZzc35vMOeTW+aVvfOH+1nBSddKOt3nhvRtfrFt 1yqD2RffA9481IST/Px39phzrub7eG2z9w133XFS/NnenyEmjY3NYwpkTfO1DXc985i5HgsynifM e1FTdSHOcoips3w7Wsex20PWeczrc1D8XvVcAhKQgAQkIAEJrEyBf/lPTisz64vJNb/QW3c48iEn J/HL63ypmPH5srLsD4Oz09OYy8lxgqqzuNK6HRdn7bEJUz8uLn2fJk8R3hl938UZXiZ+wrpTcnI+ rbxwZg7zkzJxvEer/xfHflxYaZlX3jTFprHz7ZludEcPVrZoMmmf8MZFv34FA9Xv4Y+Nxaw7BmV5 fbln1bGsrBWmlGZ52n0sZgHvyN3ThUjRxliPM4ak27e+gcHq/Qzq20GexaSYbl13bNkscxc+j8m2 YDtOs9xjk4RZdrtJdxwsrl6tvJquQGyDqbldXFoJmYx7MX2rk2PeDuLIpTMo5bFoDuN0bXN2mjcb cxqJcUq3XlzycU/t/Po8yxK3mnnq5CNtm0xafTm/NO3BHofWPa8l59a4mL6P2fRMreXkte3X3MYM vspfjhZXB96pzTd3mjfGMb1B86LnQjNUzAW0ddk96WoPfYJtVmDXyZ1VZm6RnZfmnMJ2ZlDSLZ8v Q4te7hwr6c5xJj23zbGcC60Hu24zlDMhn7yc/Oh2dJUc4Tm3NGHJP+OFdV7jjh52e3nQ82XGsrt1 kqneMiWwiO0zvt+bHywyvH9nMsicbnzmQzi69QAmtxzBmXqP9jHP+/B872vxezLP03/uSl7Teb0I S3OT24yfj0xZ+L62oPeClOz88z4rpOx6iTPsNpD5vHKr89c4PLAZn/2xHlk8f5qe4As9Dxlvr89o o1/8mle4BfDJ59ucz9QswDz1+KjOE0uk02YSkIAEJCABCUjgny5w6dIlrKyeuEsmYoBywQGIxJ24 AVwzN8sJ8ERu9KBnKIgBdoyqOVQd+wCasOkS9znJcRq7etDP6+V9NYc8A7jxeUnYpftiwcHb6AZx wYyF5Hsh67hpL/GRMaCZGRM8mueLPcvqFUJc4l7TbJbF8TH7eEloHwZ5uflm3lkm2NkBEyKqqzaX iz68KV3w1t3DgwY53Dbsppf4uLh6tfKaNpi8uLQS8xH/ygTo7/AO8nzg8ZfpMHYDuGbrxTstIr/8 USdTPsz+V8qUuT2YUizCJVpobhPtBhyd+cie5LhjXbp7mA6j3QngmqEcEm6IxnXmLfM/vX4XYLyE PM1bTtfLPE7fRs8Ye+fv9wjQxa/3iJ4v/nhdWEYeVbrW3pdQJwm5XsT2meuS7Sf6+0pqW8pkkDld k9tpDhvThaGRAQ6Sk4v9NWnaxzzvw/O9ryW48IXX567kdRJeL8KSiXv86BiXmilL2ve1uPU8n/7z Pit47n4JM+dvA0zUvA1PmR/L7POnR9eB9Hv2aBujHOrrmLmZQ0VJ4ufneeoxU1tOnwEtkYAEJCAB CUhAAo+XwCoJ4j7cSpud4h2MgxFU8LLrJt4l+mFOs5NhBnBHkF9RhzedS5sfZvorJa2iKt5IJ1C0 bLK7/s2PAPbG7b7CS385PrKvsAxNh3gDlLgefssms49RRnw5RfCXNaBoUd8aHyMAFWXxAmwze3Y0 YdJXgJJ1FShW25nfkEP1nLlUPv96WmPVCUzdHuDNVPM5hM2biN5fbdUpLLzAj+NnhRwOP1VRV5UY cF04SdKa0xzfeQ7+iho07axKWqaXEpCABCQgAQlIQALzCayS4RTmY9ByCUhAAhKQgAQkIAEJSEAC EpCABCQgAQlIQALLT8AMp/Dfll+2lCMJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhJwBRTEdSX0 KAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhgGQooiLsMK0VZkoAEJCABCUhAAhKQgAQkIAEJSEAC EpCABCTgCiiI60roUQISkIAEJCABCUhAAhKQgAQkIAEJSEACEpDAMhRQEHcZVoqyJAEJSEACEpCA BCQgAQlIQAISkIAEJCABCUjAFVAQ15XQowQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBZSigIO4y rBRlSQISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCAK6AgriuhRwlIQAISkIAEJCABCUhAAhKQgAQk IAEJSEACy1BAQdxlWCnKkgQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABV0BBXFdCjxKQgAQkIAEJ SEACEpCABCQgAQlIQAISkIAElqGAgrjLsFKUJQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACroCC uK6EHiUgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJLEMBBXGXYaUoSxKQgAQkIAEJSEACEpCABCQg AQlIQAISkIAEXAEFcV0JPUpAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISWIYCCuIuw0pRliQgAQlI QAISkIAEJCABCUhAAhKQgAQkIAEJuAIK4roSepSABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksAwF FMRdhpWiLElAAhKQgAQkIAEJSEACEpCABCQgAQlIQAIScAUUxHUl9CgBCUhAAhKQgAQkIAEJSEAC EpCABCQgAQlIYBkKKIi7DCtFWZKABCQgAQlIQAISkIAEJCABCUhAAhKQgAQk4AooiOtK6FECEpCA BCQgAQlIQAISkIAEJCABCUhAAhKQwDIUUBB3GVaKsiQBCUhAAhKQgAQkIAEJSEACEpCABCQgAQlI wBVQENeV0KMEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggWUooCDuMqwUZUkCEpCABCQgAQlIQAIS kIAEJCABCUhAAhKQgCugIK4roUcJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAstQQEHcZVgpypIE JCABCUhAAhKQgAQkIAEJSEACEpCABCQgAVdAQVxXQo8SkIAEJCABCUhAAhKQgAQkIAEJSEACEpCA BJahgIK4y7BSlCUJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAq6AgriuhB4lIAEJSEACEpCABCQg AQlIQAISkIAEJCABCSxDAQVxl2GlKEsSkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABFwBBXFdCT1K QAISkIAEJCABCUhAAhKQgAQkIAEJSEACEliGAgriLsNKUZYkIAEJSEACEpCABCQgAQlIQAISkIAE JCABCbgCCuK6EnqUgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJLAMBRTEXYaVoixJQAISkIAEJCAB CUhAAhKQgAQkIAEJSEACEnAFFMR1JfQoAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSGAZCiiIuwwr RVmSgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJOAKKIjrSuhRAhKQgAQkIAEJSEACEpCABCQgAQlI QAISkMAyFFAQdxlWirIkAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSMAVUBDXldCjBCQgAQlIQAIS kIAEJCABCUhAAhKQgAQkIIFlKKAg7jKsFGVJAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAroCCu K6FHCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQALLUEBB3GVYKcqSBCQgAQlIQAISkIAEJCABCUhA AhKQgAQkIAFXQEFcV0KPEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgASWoYCCuMuwUpQlCUhAAhKQ gAQkIAEJSEACEpCABCQgAQlIQAKuwL+6T5br452b1/HVD3fxo+JKvFBZvFyzqXylCNzB9e6vcPdH xdj0QiWeSFm+fGfcv3MTV6/+gKynAmxzRUvP6L0QvuztRpDtd/aJSjQ3N6BozdKTW95b3sfNL6/i h//IQuWLL6D4sS3n8q4F5U4CEpCABCQgAQlIQAISkIAEJCCBx1Ng2Qdx795sx4m2MLC2Beu/LF5R wcDHs8kssFT376L9xAmE4ceTG7rxjBPUi9zoxsdXb+LJTa9i6/oHCJAuMBtLWu3uTRxpa3Pa3Nal tbn7Iex5/iUEoxkYQqMJ4kZfr9Qn9zF06Sx6fwA2vdqM9XFR6ZsfH4E5VJufXI/tz6yksP1KrQvl WwISkIAEJCABCUhAAhKQgAQkIIHVIrDsh1NYs8YJe7FrX9ZqqZXHopyznqW4N34Vly9fRnfonufy ZTFzzdoHzsb90A0ngLsWjcdP48PTh/HgqT5wth5KAqHuTtZhJ0L3Eut4rXOoPpSdKBEJSEACEpCA BCQgAQlIQAISkIAEJCCBqMCy74kbzemd6DM9WQkCa57BpW++sXK6Ju7S+jVZdig+P37mMivPmuIX 8M03G+y8LzFva9Y4PVErm7H3BTutJSa17DbLymeW2ON2zZr4n1XW4IX2b7DBxOafiKvwZZd7ZUgC EpCABCQgAQlIQAISkIAEJCABCaw8gZUTxF2M7f07GBoaQig0jtD4XawtLMTatcWoXL8eRVZs7R5u Dv0A049wrf9pFOenBp0iN4cwzhUKn66MG8f0PkJDQdwwy+5y28In8cz6ACqLTVTLne7he6b9Hz8q ROVTRbgXGsL1G9fxAwJo3roeqXvidvciGLoZghn39ylenh4auo4b168DgfghBxa2b7tca/F0ZSHG mdch5jVk8sryP1kZwPpn0nSXNGbBIbp8B65ul62y0ioDXyZO95nf4E2EIq5vMYqfehqByqcSync3 9B3G/+NH3O9TQOQmfiBoZChipRVivoaK7yJrLQ2LrUqx5t+/E0KQ+Qj9ELLyUfjk06isXE+X2Dpm xXtM72ZoFsXMY9Gaexii1/XrP+D/eG49fvy/ZZmKTaoXK3lu9z1+CP0H1haz3uOGArCXOn9ZH9/9 MA44dWjmmnx9x7FtC83+ZjnWbXc3vjNQ7F/75NPPILChElYzMnXJbe9HhsxCYOgsvhwqQn4W20Oc /ULLadphaPZHNKAtx9i9fv0G0weHZtiKrPEh/HDXXjbLdtbbfR3MdWK7vE+b4HWrvfNIQPHTxQis 3+AcB1YOnT+mfbH+QyH6jLO9FOKJtSwb7Z9x7O1jgsMpOD+o3GT7Kr77BNY+WQlThZGbrG9zzPB1 YnXZbde08dBdojHtp5+pxHqWiZvFJuu45VjEPA6eKZrFEMcTvk5zM5l2sD6wwfNYjSWgZxKQgAQk IAEJSEACEpCABCQgAQlI4PEU+Jf/5LScixbq3oOXTgQBfyu+6W5ICBJ65ft+6EvUv3TQCgB6LT/+ 12/wQvE9nKmqRadZYdNxDL73QuKq979Hw09+YTob4sUP+/DOegZp793EOy+9jMt2TClh/bWNp9Gz d4Odt/s3ue3LCPtb0PHqOHYdtPbCwFUL/v6l9/iq97+/hJ/8og2VLafxs/ETONhp78Tf/Gd0b39q 8ftOyF3Si8oW9HRsTRib9c5QN2p3nUha0XnJnqQ9H26PBrLv0fd5+npPL+Kv37xj39SKhrtoOMQx cT/9phtZnS/gF2c98Jo/xeD2Z6zkhroPYNeJq55JVzZ/iA+3x4Lg319qwC84AGvzhx/i7pHX4ZCh 7qdA79cmiU3oGXwvoZwMxaK74Sc4YVcsBt9Z77kvtz7i68zdH9YyaH+XwfGULTex7O+hMPQZ6/Js ylKOFIu/D263gpYLL+d9XHrhJ2i7W4nTHT/DiV1uuzaml3Cz3izjrhiwxl1TqMTpxZZWzH5+AldT 2NfidE8PNrhBbI7f+85PXsLlxM2jr148/le888JafFb1PDxL9unfOQZulpNXltR6/YS9/Z0hHKjd hTS1ig97PoyOqxt1Z7A5UHkXjOWnTIf/+nfUFTtppyzVDAlIQAISkIAEJCABCUhAAhKQgAQk8PgJ XLp0Cct+TNzFsUdwJBrA9aOx9Tg+/PA0Whs3RZM5+PF1hvLyOU7pi/a8q3/DzfvRxdaTO99dtgK4 JhC4vZIBXERw5nk3gMsxTq10j6Ox0h7l9G7nPuzrDTmJZNmBw3BbLIDLoFTlprVg/1Dvac0aa/5Q 275oAJddIbG+0Mxfwr6je6HBYWPAvAacEVmH2lB/4Esa2NP9yJcJAdzGluT1z6L+9W6Yq+RNXj6O BnBt39Onj6N5E4OI1nQZeztvOs/hlDffeize9B4aX3wRAb+TD38AjY0voqXYfh35Mj6AW4kWjiN7 +ngrotk++zpe7/4+mrY7VvLZ12MB3LVrK/Fs4xFnnau4/r2d6+hG94bwsRPrPLy9Mjo75YlTH/hR bBxmd39wAriBxlZ82PEh25abzlWcuBriUAJPspyNeDFq4seLLGdj85OWw2LL+USxyd0Q9kUDuPw9 g71jTRjTXsYnVgDXj2bLrJlhc3u63GYHcP2bmhkE/hCHm93j4C5OdH7nrAV8eSQWwDXlOs3A+PHW xlg6Bz9jzT+BTR2H8SLr0E3fH2C5WNbitXbLdvPjjJjB9EMJAdzKxhambY7HgLPvIbxe/zq+dxuj 686fYEwA1x9oxPEPO6y8uJk9csIcv5okIAEJSEACEpCABCQgAQlIQAISkMDqEni8hlOI3Iz2+Dve 040XipzK5OXjgaezUH/wMvD9f1jDKBRtaEAl+x7yon5cDUbwzAZ3ZV4u/lmntaG/scHqVRr58qzd a5dbfNjTwZ6Ddrrr17+ADZ/twq6zQwgeOYPQpnYUO7t0H5pP/xXbNyTPdZd6PQa4j/e4D7u3oQn6 2blZ7L434dO/v4dnnE6L8XnF1YO43vwCfe7j+gm3V21q+pvYC/pl0wt66AR6b27C1ifvclgIe2r+ 9BJ7X66xX2x4Ac882UCHMMK0uMeetc5uowVcU1SJve9UItTLntVHgqjcuhd7G4rt5ewJevbgVfu5 nz1/u9nz19lywwub0L3nedjZaMPNTR3RMjmrgF2Y8dfTW61L+tltGf/BKKPpbft5501sjettG7lx 2e6hvbYZG4qdvEcTWfiTlo4+bLWC+9yGAdVisOydYQxdvgnU1bGc6xm/fBKXrx7h8u1o3Vvn9NJ+ sHIG2Bv5PfZGtm3vg3tzpgDruj3qUpl/F8/vclpNSwc6tjqBZuZ17V0GTjvv4u6N73FvbyXTCuEr h37T8R68Fzto8ELgaVTVm/YxjruMnD5TWYd3+K93/DKODAFb97aiIeqYGloNfflx9Hhs7ujhDyJO rfJ43LSpG8+/fIJpD6Gt+ybz+IxbGOuxMj7fPO7WF8Mu09BVhO7X4amlV1/CfvRCAhKQgAQkIAEJ SEACEpCABCQgAQmsBIHHqydu0Xp0HD/O3nt/jgVwWQv3OYbrze9iIS+r3+CaZ/CrxrVWHXV2DsV6 9937AX8L2lX3auPTZmsEP7ajXP7GV6MBXHsNxugaXmU/WzPxEvtQYiAr0LrYAC7Q+tfT0QDug+z7 xdPN0aBeNK/bW9m32J7+FvyeyYeiZd10/HBK2Z5paEWjs/5XNyN8xvFPnddn972OXhMIvG+XuXL7 JfTwEv2engYnyOismPww68xwtjOv7oduRIN9x9sbowFce80n0HD4Q2e/HLM1kmjMgYPx5w/dAK7Z 4gk8t9fO9d3LnbFengzuXnfqcVPLhsx5tHfs/TdwHA1uANdZ48kN6+1nd2atHwjMi/vus/h5D1LO ysM4HQ3gOjt2Hjaxx7IbrDeznnhyA8OeZqpEc4P9zHrJP8UBpwVwAF/rOGAI+tWO0zh+/EO0RAO4 XJH18z3HuHUne13zKuZ//75bme5a8Y/8McTxBs2iAVxnlSeeacCHzvE31P1DXKpmhU1oTcq3KZPd AzhmHL83PZeABCQgAQlIQAISkIAEJCABCUhAAo+zwOPVE5ehucoXXuDNxG7yxlOf4avrDKz+MARz LyWvqbKhGehkb8mhz/DdvTpUsovjnZtX2TeQE8e0XW+NGXofWfl8Heb/nbtQ1emVkj3v/mx8UMuP 7ZuK06/stYQ9RDdFezbaKyxt3xxT9Mkijz0UcqxR4KopoBOLs4Nza/Gi20syYasibGquRCd71w59 F8L9rS+gga+v8jXYo/PI678A9Tgma6U1NMKmTRuiN8FKSGa+F+5l9Gsbub1HF8v8SrzKfJ/gbr8L jQNPFUdT9DduT+mVmV/ZwNBuJ8PqQVz+7g6eMkFXjs36OeuQFYsG061ziVPlhsSbt5lksnjTOHeK BTvdOe6wEny96HIWRhNpfNUZczk6J/ak8qm1sRfmWdaPnABt3L6dNdYWPWk/u+PM4ENx5QYU3gth 6MtufP4Vb6rHO6eF0x00sc3mfea23cbokBOJm5gfQNB5ggfWTYzfb0C0tLwBnzWSSPzqLJNp0aYK vYzjV9VzCUhAAhKQgAQkIAEJSEACEpCABCTwuAk8Xj1xOXLnZ7uqeOOtl3HwxFkOk2AHcP2Vm6Jj q3I43Oi0pngDmq34Vxif3QhxPnvddnZayzcxaPZEdM2FPekeCsWtmI8fLTbaVPzEkgNUifsu5jil cVmJPl2DoifdEU2jM/nkR1iTprBPOOOd4vu7Vt/Syu0dvDEax9h9MRBLgAHdzrNH8HL982g4cyM2 f7HPflQc7embvKlL+f34vYRF+cU/SnhtvVhTjO2Ndjk7P2Pkl1Mo2G0PpbDpVStYb81cyp+4HsRL 2dzaZgnlLMzQmDL3iE3OZfwPDWaZGT5kF37y/Et4/eAJdF4NWgHctf5KbHIHJE5OYpGvC9emaVzR dMbZTzpuYu9lTRKQgAQkIAEJSEACEpCABCQgAQlIQAIxgceqJ26o+whMJ1EzNR7uQOOGp1H0xBp7 RiiAqpfYbzSuB6K59H5TyyZrPNbgxxzLdf2T+CxoVmfPUnfgW75yQ0qbDv8V79UVmivNkyZziXcW njA9Le9/n7RsES8T8mZvt7R9s+ds6D6eesopezQL9xC6YXVHjc6x0w8jNH4flUm9gM1KkR8i1rr+ uqeiQe2iyhew1/x75z7uRMbxw80b+Pxgm9WDOdzJYRYavgGZFj+Fr3O804aUnrXs9osfQnZydc8U J6abUhf24koOfYFOjuca/Bu+v7ce39kVi+bG9Ynb/1e8Wko5rVaYXJ8Pnvn7ocvWmM4mJX/jYZxp ZK9cjsds7ymEe1UvsT/z0ia37Qa/G8fWp4pTErkXCdnz/AFr7OmUFTRDAhKQgAQkIAEJSEACEpCA BCQgAQlIwBJYOT1x43rQpq+7LGvR2sYO7K2rjAVwOXeIwytYU1I6RRsa7fFDwx/jBHvvWiHOF3lZ f7Tz4BqsLbS7tV69epP9Ftfwqvj4f+M48pPn8fxPtuK6He+09/NQ/i59359f/i41BxxS4GMnhrvW 9I5kOdwOux87Qc6Eje4N4Qxv2GWm/CfWMj7djaqqKlQ1nGGfZzOtQX5RMda/sBUd33zqjMPKW4tl HCvV2jA2tIB5yUvl7SmITg/Ee0Od6LxrrxHtGexskfaB4yO3Wp1xeeOsEyeccr+ITbGKTbvpI1vw KMr5sDLLoSw+4w3YiqMBXNbjUHfGAO6aNfbxli4Lbufh4InPnPYSv+YdfH6k056Rv3bJPdDjU9Rz CUhAAhKQgAQkIAEJSEACEpCABCTwuAqsnCDunRDG79xBJBLx/nfnHgOsdt+/u1d7cfOe20XzPm5+ eQa7nGAk7rhrOVUavcHZXVy1BosFWpLG8Axsf9VeOXgEr5+5ziCls+39O/jyzF7nplxPpRnC4MGa zlL3fZfj9x7ojd2w7f6dm3jnF/vsIQUYbv3VhiJmjDe1aq20Mnj38j7suXQjeln7/cgQ3nlplx3U 5jiyr24qxhoGbK2gb7gTRz7juq4D5UNBZyxhpvbEPME9s8PQze9ZFfetXs1rijbgsJ0NXD5Yj0s3 QmYVa4rc7MVLu5xgn8eYwe56qY+xG5wNXb1qlbuyJfmmaalbPco5j6acD5hjtw7v3sD172NdwSM3 v8R21527SBju2dnlze85TrKpQ88srMGGva3Oksuo33MJIbfB8EaDve/8IhqYzzTer2fSmikBCUhA AhKQgAQkIAEJSEACEpCABFaZwAoYTsG5KJuBw5dqnWCeZyU1o/N0ob3k7mW8/PxlrF27ljc1c7pw utuE2/D8nifwTXudc8k4B09wb3BmrdOIDU9Fu+Fac9YUv4gPGz/G6+wOOtS5D88zG2v9TDscSztw +FX7knDviJa790U/Psi+rx7ZhatHmNckhxePH44OWVDccBiNH9dbAbVg2+t4vs2szwEMYkXDi8fP OOPIPg2OPoGDV9mz+SzXPZuaNhhoDRSvMUOtek9OL927lw+i9jK3b/4UX25/BnXHP8Rnta9bQeO2 119CG8PFFHaCziaptTje0Rgd0sE78cS5sRuc2ds38qZkC5rS5X1BG2daac2iy+m0/kyJei5byHZm nSeecHtBh3HkF7U4wspfy8qPq36uNcTj6QD++s17VhufdWK9lw/+AqxCNH/6d2x/Jis67IiboTXF DehovGT/gBJsw0tsXP8/e3cCn1V55/3/e2cPJIQlkZCwRHZZrVgsWAdmKuDg/mC1aB2XjuV5dait 2jqvysyI8wz2/9hqraU+Y1tbtQNMXR5bt6pUK48sFY1CESQYICwJgYRANrKR5P87597v3AlZNSGf 0xe5z3Kda3lf55y+/N3XfZ3Ia9EuLi133ijIggACCCCAAAIIIIAAAggggAACCCDQqkCvH4mbkOIL zLbaBO+BYVfkaPT8H+gJJ8roW/wB3GFzluuJ5x/THP+BPZVhAafEnDla6g4xtYDuD65Qlj9d4DNR c+95Sb9ZtdQ7EtX2BwO4s3T3Y8/rZ1fmBFJ7V9r+qXl4Yl/a9PC93q3OlD3HAp4/1hW+d5j5HZy5 fn/wxEtauSi0hVm6543XtWp5qJuvHsPm6H43fY5vR6IWPfhn/TgsbTDcN8fmVH3ppVtD3x1n54U7 5Fy53Orlw7ajOan+ts/VC39eo+UL/S9eCwYSh81aqideekmLnOCwf/FnG7LLfyjwmRh8wZlmfVNz QpsdSNRyJdGmjnBrGK0/2iovWvrIfekda2eCr51tFdvymH+aDD9SaBu9+4ZN901hkLXIXlR3d+C6 dqL3bo9a36/6zRr9IHDT5PlGaSdq4cr7NSvYhUp1K5moEb6X5oXWZ9Y9L2jNquU2ltu7BK/FYe68 1ZtWLgp8mRKoZaRZ4ICzEq1NYQnYQAABBBBAAAEEEEAAAQQQQAABBM46AU+zLWddq2wYaGVlvftT 78TUdPt5v6+FdZUqPW6z2tp8sO5LyPwNL92sRTYK9LiFsh57/Q3NbTOIZHOFVpZ6X25mc8qmp362 owjbLNteqvbti2+yeUxnac2mJ9zRtnWVlTbtgbXZ6pp6xro6bjYthY1ETUw0owCcHyr8M5h3qhIs rZ85PFUntqyfKu2n91YNhfVfh7Mq1cOLLnNHGS997HXdc6aO7XD+XTyh29rZxXr4Tg/tz2Df2zXh TFVi10P6Ga6HM9XCe225F5d7LXbb9XKmgjmOAAIIIIAAAggggAACCCCAAAII9GGBtWvXqg9Mp9AZ YSdgGSVo6QSi7MVNkUvu0w9bANeWWcs16wwBXCdZqhMYbpmNc6jHl46WnWgVdf61b/G7tTN1h/Ju X55uKieA7PzrwCnRkpbmPu2bd3WOlrSnY6Nl0pP7uqmd3VXF6NeKXRPp9q8bCnG+RDjzFwndUBBZ IIAAAggggAACCCCAAAIIIIAAAmeZwFkaxG1HL9mo1WU2arXUftp/wDe37d3L53ffaNJ2VKEnkjjz nPbvpU4vLLtYvygdY1NeHHApxtztm6+4f8PQegQQQAABBBBAAAEEEEAAAQQQQACBPirQf4O4Niuu 834mfwB31vIndOP07hhv+DleCTayc4RbfGnYnL+fY40+l6LrCpwXs3kDuJp1t564cfrnUg8KRQAB BBBAAAEEEEAAAQQQQAABBBBAoDsEztI5cdtHU1lU5H1ZU0KqstL7eADX32Sb0NamA3ank/Dv6m+f daVFOu4OSU5QVlY75sfob0C0FwEEEEAAAQQQQAABBBBAAAEEEECgzwicxXPitq8PUrOyumWuz/aV 9hmlcl5g1s/fGJWYnqWsz4ibYhBAAAEEEEAAAQQQQAABBBBAAAEEEOhpgZieLoD8EUAAAQQQQAAB BBBAAAEEEEAAAQQQQAABBDovQBC383aciQACCCCAAAIIIIAAAggggAACCCCAAAII9LgAQdweJ6YA BBBAAAEEEEAAAQQQQAABBBBAAAEEEECg8wIEcTtvx5kIIIAAAggggAACCCCAAAIIIIAAAggggECP CxDE7XFiCkAAAQQQQAABBBBAAAEEEEAAAQQQQAABBDovQBC383aciQACCCCAAAIIIIAAAggggAAC CCCAAAII9LhAXI+X0IUCioqKunA2pyKAAAIIIIAAAggggAACCCCAAAIIIIAAAp+tQFZWVrcX2KuD uD3R4G4XJEMEEEAAAQQQQAABBBBAAAEEEEAAAQQQQKAHBZhOoQdxyRoBBBBAAAEEEEAAAQQQQAAB BBBAAAEEEOiqAEHcrgpyPgIIIIAAAggggAACCCCAAAIIIIAAAggg0IMCBHF7EJesEUAAAQQQQAAB BBBAAAEEEEAAAQQQQACBrgoQxO2qIOcjgAACCCCAAAIIIIAAAggggAACCCCAAAI9KEAQtwdxyRoB BBBAAAEEEEAAAQQQQAABBBBAAAEEEOiqAEHcrgpyPgIIIIAAAggggAACCCCAAAIIIIAAAggg0IMC BHF7EJesEUAAAQQQQAABBBBAAAEEEEAAAQQQQACBrgoQxO2qIOcjgAACCCCAAAIIIIAAAggggAAC CCCAAAI9KEAQtwdxyRoBBBBAAAEEEEAAAQQQQAABBBBAAAEEEOiqAEHcrgpyPgIIIIAAAggggAAC CCCAAAIIIIAAAggg0IMCBHF7EJesEUAAAQQQQAABBBBAAAEEEEAAAQQQQACBrgoQxO2qIOcjgAAC CCCAAAIIIIAAAggggAACCCCAAAI9KEAQtwdxyRoBBBBAAAEEEEAAAQQQQAABBBBAAAEEEOiqAEHc rgpyPgIIIIAAAggggAACCCCAAAIIIIAAAggg0IMCBHF7EJesEUAAAQQQQAABBBBAAAEEEEAAAQQQ QACBrgoQxO2qIOcjgAACCCCAAAIIIIAAAggggAACCCCAAAI9KEAQtwdxyRoBBBBAAAEEEEAAAQQQ QAABBBBAAAEEEOiqAEHcrgpyPgIIIIAAAggggAACCCCAAAIIIIAAAggg0IMCBHF7EJesEUAAAQQQ QAABBBBAAAEEEEAAAQQQQACBrgoQxO2qIOcjgAACCCCAAAIIIIAAAggggAACCCCAAAI9KEAQtwdx yRoBBBBAAAEEEEAAAQQQQAABBBBAAAEEEOiqAEHcrgpyPgIIIIAAAggggAACCCCAAAIIIIAAAggg 0IMCBHF7EJesEUAAAQQQQAABBBBAAAEEEEAAAQQQQACBrgrEdTWDnj2/Unm5e5Q4Zppy0hN7tqiz LPfm5maVlpbq+PHjqq2tdVuXlJSkYcOGKT09XR6P5yxrMc1BAAEEEEAAAQQQQAABBBBAAAHhVu+M AABAAElEQVQEEEDg7BTo3SNx6wp057JlWvbKnrNTv4da5QRw9+3bp4MHD6q6ulqNjY3uP2fd2ecc c9KwIIAAAggggAACCCCAAAIIIIAAAggggEDvF+jlI3ETlOMYJiT0fsleUkN/APfkyZOKiYnRqFGj lJaW5tauvLxchw4dknPMCeSOHTuWEbm9pN+oBgIIIIAAAggggAACCCCAAAIIIIAAAq0J9O6RuL5a l7ZWe9tf8M5aLVuySBdeeKEuXLRI9z31jiptf97LK7Xk22sVem5dwRtasmiZ3imqsxSV2vzCw1rk nGf/lt23VgXOibYUbX5Kyx5+QwU73tAy59jaPO8B/18bIfzwkmV6OTdXa7/tL3uZ1uYW+VNY9nl6 6r5lgfyXLLtP7/gKKHjjYS1Z+bJy33nKd9yp92YV5L2j+xZ567NoyX3a7NbTm2XB5he0zH9s2cpA XsECvWvOFApOkNZZxowZ406dEB8fL+efM42Cs89ZnDROWhYEEEAAAQQQQAABBBBAAAEEEEAAAQQQ 6N0CfSKI2xphZe5Tuu57j6h00lKt+vEqLZ+VojdXf08v51VqWFaqDmx5RFsKnICtd/n4hRU6cHyi JmYlavPD1+nOH67TxKV36/67lyr3zUd03XUPu0HfyiNblLtuha67bYVyh43RHMsrfKnTngO5esCm enhEC63s+3VFSq4eWfaA8tziKvXUdTdp9ZulWnj/Kq26f6msAH1v2ctyD1ft0YFXHtCy763T0lVW 74VOve/UdTd9T8cX/sCb/sCbuvPbr7jpSzc/rOvu/KEKJi7V/fffrZzcV/S9667T5igxWGcOXP/i jMB1Rubu3r3b/efsHzRokP+wO19uYIMVBBBAAAEEEEAAAQQQQAABBBBAAAEEEOiVAr18OoW2zY4X 5Npw07v11IM3yg2zzsnSy2/e5p6UPmuJhVfXafULH+vKe2bZvgK9sE6a9YMlyip6R1etO66Fq17S g4uy3PQL507Uxdc9oDfzvqm58k7fsPD+NXrwyknu8ah/5tyvP//sSrfsRRMT9MpVK7TnSJ0mjShS rsVSlz/xlG6d5dRskXIqN+ump/0vZ/Pmf//zL+nKHNs3P0db3rxJBUuf0BNuXeVL75RapKfvtIov XKU3HlzkVuPKhXN138XX6eE38zT3xknuPv8f/0vMnO1t27a5uxNsOoqcnBx3vbLSN9zYtkLTugf5 gwACCCCAAAIIIIAAAggggAACCCCAAAK9TqBPB3FzlvxMm+YUaMvLa5W7ZYvWvbklBDhHS5ePsRGu L6vIAqPD8jbrTTv62Lwc1R234K8tb/7iAVW+ItXXW1C11HvuBpsSYW5ivR0do6ULwwOk7kkhf2bN n+4NHjv7hk2SEyqurLNzEyfpZx/8WQXOdAsP52rL5nXacsAOOgncxcl/liaOSPRtez8WzvdOdeBs JfoP1VVqj7PDRgp/2ypbX19vUwRbm519FqCutCCuG8B2tltZJkyYoKSkJHcKhYKCglZSsRsBBBBA AAEEEEAAAQQQQAABBBBAAAEEeqNAnw7iFryxUtetsCisBUSXLr9CqyxAu2LFuoDz9IXflFbblAgF 9yjnlUcs2f2alW6Hq7xJ5tjo2xx/6omzNG+JlDrJQqIFNk/BsCVyBsm2tZTWBadqkE18EJjdwObM XWkjZd2aLVyqK765SrP+7wqtDiRomatzaF5K6+HYMXPm2Gha//GJmjNnhOpTc3xjhoP5OcHa6urq 4A5bKysrc6dVKC4uDtvvpGVBAAEEEEAAAQQQQAABBBBAAAEEEEAAgd4t0CeCuOmBYamhmJXK/YWF Sees0qafLZIbb63bYXPUrrNRrN7pCpQ1Vz+wwa0PPPywZm2Rlj42x01Xl5DiZpQz/5u6x53uwNks 0tqV65S1cJgFcZ3txBYBUmdve5a6gs1uAPf+5zd5p0uwk/KOPCIbFHyGxRmhGxE5trZbjVSQc6Xu 8U214GSSu/ZhFWTNj0ytYcOGtQjijhgxwjlFkUFcJy0LAggggAACCCCAAAIIIIAAAggggAACCPRu gV7/YjMnHJv7i6f0xjvv6I033gj+21ygBsd2yyt6Z0eBCmy6hJVX3abjtuvNdz72vkDMJhqYd4+9 VMzS5GqOlrjDcC1M6gvurlt2ndZuzlNRUZ5eWHmbHnllnSpbhEWdQqIv6RG7I7fffGeLCooKtPmF lbpptdXMXlb2cVHo6N2IDKJu5uiWu2fp+Lplum/tZqtrkZvfskfWaUeUrNLT0zV48OCoOYXudNI4 aVkQQAABBBBAAAEEEEAAAQQQQAABBBBAoHcL9PKRuIne+V6Pv6IV33slXHLMD/T6g6v03E0rtOK2 69xjs5Yu1xWbV+uV1ffp46VvaJYNak2ftdBmt12nqqW3hkyPkKolTz2vgu8t0yN33mSjd51lmJY/ 9rzmW1yzQPbHO1jXPdLiT2KqnLGtR1ocsOkYbBRwoo2aXXXFC1qx+nu6brWTaI6WL1+o1avf1H3r 9ug301qebSVGLME6TLrxx1p15D6teOROZ2pcd1l492P6wdysiHMkj8ejsWPHat++fe4cuE6CDz/8 MCydE8B10jhpWRBAAAEEEEAAAQQQQAABBBBAAAEEEECgdwt4mm3p3VVsT+3qVFeX6HsZWJ0qKy2Y muqblqDoDV141QqFTm0QmmOdzWvrTGKQGnXKhtCUnVt38k/05V1nLymTBYB9Net4hpZXpftiM8vj DJk43VpaWqrjx4+rtrbWLcuZA9eZQsEZgUsAt+P8nIEAAggggAACCCCAAAIIIIAAAggggMBnLbB2 7Vr18pG47SXxB3Cd9DZ613n/l71c7IV1L+iddetskO1yzc+JHvV0AqzRj7S37LbT+QO4TqpEC+B2 abG6tjfY7ARpMzIy3H9dKpOTEUAAAQQQQAABBBBAAAEEEEAAAQQQQOBzFej1c+J2RWfH6nXak3OF nvjNUu+0DF3JjHMRQAABBBBAAAEEEEAAAQQQQAABBBBAAIHPQeAsGYkbRS4xRys/+CDKAXYhgAAC CCCAAAIIIIAAAggggAACCCCAAAJ9R+CsHonbd7qBmiKAAAIIIIAAAggggAACCCCAAAIIIIAAAtEF COJGd2EvAggggAACCCCAAAIIIIAAAggggAACCCDQKwQI4vaKbqASCCCAAAIIIIAAAggggAACCCCA AAIIIIBAdAGCuNFd2IsAAggggAACCCCAAAIIIIAAAggggAACCPQKAYK4vaIbqAQCCCCAAAIIIIAA AggggAACCCCAAAIIIBBdgCBudBf2IoAAAggggAACCCCAAAIIIIAAAggggAACvUIgrlfUoo1K1NfX q7S0VCdOnFBtbW0bKTmEAAIdEUhKStKQIUOUnp6uhISEjpxKWgQQQAABBBBAAAEEEEAAAQQQQACB z1CgVwdxnQDu3r17NWDAAA0fPpxA02d4YVDU2S/g3F+nTp3Svn37NHbsWO6vs7/LaSECCCCAAAII IIAAAggggAACCPRRgV4dxHVG4A4cOFAZGRmKjY1VTAyzP/TR64xq90IBZySu8wWJc585/7Kysnph LakSAggggAACCCCAAAIIIIAAAggggECvDuI6UyhkZ2e7IwSdIC4LAgh0r4BzXw0aNEiFhYUEcbuX ltwQQAABBBBAAAEEEEAAAQQQQACBbhPo1UNbnTlwnZG4BHC7rb/JCIEwAefeckbjMt90GAsbCCCA AAIIIIAAAggggAACCCCAQK8S6NVBXEfK4/H0KjAqg8DZJsA0JWdbj9IeBBBAAAEEEEAAAQQQQAAB BBA42wR6fRD3bAOnPQgggAACCCCAAAIIIIAAAggggAACCCCAQEcECOJ2RIu0CCCAAAIIIIAAAggg gAACCCCAAAIIIIDAZyxAEPczBqc4BBBAAAEEEEAAAQQQQAABBBBAAAEEEECgIwIEcTuiRVoEEEAA AQQQQAABBBBAAAEEEEAAAQQQQOAzFiCI6wOvL3hTd9y0SnuqP+MeoDgEEEAAAQQQQAABBBBAAAEE EEAAAQQQQKANAYK4PpwElai8oUANA9vQ4hACCCCAAAIIIIAAAggggAACCCCAAAIIIPAZC8R9xuV1 W3HOyNl7V+3SV/9pin7/4K90wHJOm7JY373ji3r/0Uf12oFyxcdnacG3vq9bL872lltdoDWP/lx/ 2O6kjteUBXfo+3fMV/W2NVrxoz+4aR694w5NvWaFvnt5jva885QeX7NeReUNltzSz/embyvOW12w SY/+/Cltt/KtRpq54Cb9k5Ux2FsDuccfteNFdtyp3x3f0h3zJ/qO8oEAAggggAACCCCAAAIIIIAA AggggAACCIQL9NmRuA31JRZc3ayfWgB34IIbdeOCKSrf9ZoeuOsBvdZwvm75x6uVpSK99tMfaac7 RcIx/fy2ey2AW6R5V9+oxXMztGv94/rmz7eqwY5nZ6W5MgOzc5QxOF4nt/1S//L4a6rOnq9//NY/ asGEAW7657yZhSv6t469o9vu/akFcKUFN96ixTMHartTxso3Ve+kObZJ33SOlwzW4huv1tyMIq1/ /F/0863H/DnwiQACCCCAAAIIIIAAAggggAACCCCAAAIIhAn02ZG4/lZMueU/tPJyZyTrAlVvvU1/ OLVAv3j0Dnfk6/zsBt32wCY36bF3fqkNtvaPP1mjhe7A3Gs0P2el7l37S5289Zdaafuuv/cdfWvl Cjm57VmzxwbSLtajK2+VO/J2bra2fv0BN6/W/rzzy8ftUJq+t/qXmn2OrV5zub645vt64A+/0vrC +Rr41E/VoJn6yZoV8lbhq5rw/a/r6V+u162zb/KW01rm7EcAAQQQQAABBBBAAAEEEEAAAQQQQACB finQ54O4Eya44dBg5839YmDqAmcKBP9SUljirj79o+9rvYVSG+xY9QFnWgXp/YJq5fiSOqNynWjq xJt+pN8s2KP3f/+Utm3bqc27vGndE1St33/3Nq0t8m45fxff/3PFF9jKzFu9AVxnpy1TF1wj/eGn KjlZrpNuFbbrR9//vtTQ4FbPW4X3VVB9k6a60WLvefxFAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQc gT4fxLVYaNiSNjAYuA094N2bpikTcoJB3olTLV7boCnOhLVO8DZk2fPqKv3L09ttT5bmLrApFb6Y o1897YzldZZ4TVhwtRafdNaceGyDzs+I007nyDkRkdjBGZZDyJI2RhNycrw7rO4Tp55vGQyWzeDA ggACCCCAAAIIIIAAAggggAACCCCAAAIItBDo80HcFi1qZcfAwU6ktkQLbv0nzfbHWY9t1aO//FQ5 2bbDZk9wlnj3WLWNwLUA7phb9F8/ulwJzoH6nXragrjewb0Jmnq5jZx19geWehVaEQ3rf6+CO85X jm//sfdfs5l5pS/aiRlOFYom6tZ/uiMwdcKxrU9p7ac5ynYL8Z3EBwIIIIAAAggggAACCCCAAAII IIAAAggg4BPosy82swG0HVqy53/VRsQ26MffXKlNOwtUuHOTVt31Y23eXuLNxx3SW67nnnpVOwvK vfsOvKN3LG2Bk/a2B9wi39+w0/uSshalJ2j+rYtt7y7d+92fa+vOPdr25i+1/KebLTK8QJdPHKyL v+ocX28vOlujnYWF2rlpje768WvabNM5sCCAAAIIIIAAAggggAACCCCAAAIIIIAAAtEE+uxI3Hib pqB9izu01ua5napV//GPWvEvv9JPH7jXe2r8FH3nJ3fIeQeZzY+gBVnrtf61p7WrIUc//+4teueB p/UrX9qsuQs0c+d6bV//U+26cY3O92UbWoeBU2/VQ99q0IrH1+vHD3inXojPmqf7VnlftCY7/h// WK1/+dUf9MBdf3BPjZ+yWA999+LQbFhHAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQCAp5mWwJbvWwl NzdXM2fOVFxc98aaq6u9I18HDowSiW1hUK/q+gQN9M6poOrqBp35PDvH0jkz5g70nhiR65mORyRn E4EeFDh9+rS2b9+uWbNm9WApZI0AAggggAACCCCAAAIIIIAAAggg0BmBtWvX9v0Xm3Wm4WcOwobm 6g/gOvtsPWpQNjR9e9K1N5/IfNlGAAEEEEAAAQQQQAABBBBAAAEEEEAAgf4m0HfnxO1vPUV7EUAA AQQQQAABBBBAAAEEEEAAAQQQQKBfChDE7ZfdTqMRQAABBBBAAAEEEEAAAQQQQAABBBBAoK8IEMTt Kz1FPRFAAAEEEEAAAQQQQAABBBBAAAEEEECgXwoQxO2X3U6jEUAAAQQQQAABBBBAAAEEEEAAAQQQ QKCvCPTqIG5SUpJqa2v7iiX1RKBPCjj3mHOvsSCAAAIIIIAAAggggAACCCCAAAII9E6BXh3EHTJk iE6ePNk75agVAmeJQHl5uZx7jQUBBBBAAAEEEEAAAQQQQAABBBBAoHcK9Oogbnp6uqqqqlRUVKSa mpreKUitEOijAs495dxblZWVcu41FgQQQAABBBBAAAEEEEAAAQQQQACB3iews+CEPM229L6qBWtU X1+v0tJSnThxgqkVgiysIdBlAWcKBWcErhPATUhI6HJ+ZIAAAggggAACCCCAAAIIIIAAAggg0P0C nripvT+I2/3NJkcEEEAAAQQQQAABBBBAAAEEEEAAAQQQQKBvCHim30gQt290FbVEAAEEEEAAAQQQ QAABBBBAAAEEEEAAgf4o8Nu1a9Wr58Ttj51CmxFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAb9ArK0Q xPVr8IkAAggggAACCCCAAAIIIIAAAggggAACCPRCAYK4vbBTqBICCCCAAAIIIIAAAggggAACCCCA AAIIIOAXIIjrl+ATAQQQQAABBBBAAAEEEEAAAQQQQAABBBDohQIEcXthp1AlBBBAAAEEEEAAAQQQ QAABBBBAAAEEEEDAL0AQ1y/BJwIIIIAAAggggAACCCCAAAIIIIAAAggg0AsFCOL2wk6hSggggAAC CCCAAAIIIIAAAggggAACCCCAgF+AIK5fgk8EEEAAAQQQQAABBBBAAAEEEEAAAQQQQKAXCsT1wjqF Vam5qUHNdcfVVF8hNZ0OO8YGAggggAACCCCAAAIIIIAAAggggAACCCDwuQrExCkmYZA8icPkiYnv kar06iCuE8BtrNwvxdiA4YREQxjQIwhkigACCCCAAAIIIIAAAggggAACCCCAAAIIdEaguanRxp5W SfWVik3N6ZFAbq+eTsEZgesEcD0JSdb42M4Ycg4CCCCAAAIIIIAAAggggAACCCCAAAIIINBjAk7c 0olfKjZGTbUWz+yBpVcHcd0pFOJ6ZghyD1iSJQIIIIAAAggggAACCCCAAAIIIIAAAgj0V4HYODU3 2JSwPbD06iCuMwcuI3B7oNfJEgEEEEAAAQQQQAABBBBAAAEEEEAAAQS6VcCNY/bQO716dxC3WxnJ DAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQ6HsCBHH7Xp9RYwQQQAABBBBAAAEEEEAAAQQQQAABBBDo RwIEcftRZ9NUBBBAAAEEEEAAAQQQQAABBBBAAAEEEOh7AgRx+16fUWMEEEAAAQQQQAABBBBAAAEE EEAAAQQQ6EcCBHH7UWfTVAQQQAABBBBAAAEEEEAAAQQQQAABBBDoewIEcften1FjBBBAAAEEEEAA AQQQQAABBBBAAAEEEOhHAgRx+1Fn01QEEEAAAQQQQAABBBBAAAEEEEAAAQQQ6HsCBHH7Xp9RYwQQ QAABBBBAAAEEEEAAAQQQQAABBBDoRwIEcftRZ9NUBBBAAAEEEEAAAQQQQAABBBBAAAEEEOh7AgRx +16fUWMEEEAAAQQQQAABBBBAAAEEEEAAAQQQ6EcCBHH7UWfTVAQQQAABBBBAAAEEEEAAAQQQQAAB BBDoewIEcften1FjBBBAAAEEEEAAAQQQQAABBBBAAAEEEOhHAgRx+1Fn01QEEEAAAQQQQAABBBBA AAEEEEAAAQQQ6HsCBHH7Xp9RYwQQQAABBBBAAAEEEEAAAQQQQAABBBDoRwIEcftRZ9NUBBBAAAEE EEAAAQQQQAABBBBAAAEEEOh7AgRx+16fUWMEEEAAAQQQQAABBBBAAAEEEEAAAQQQ6EcCBHH7UWfT VAQQQAABBBBAAAEEEEAAAQQQQAABBBDoewIEcften1FjBBBAAAEEEEAAAQQQQAABBBBAAAEEEOhH AgRx+1Fn01QEEEAAAQQQQAABBBBAAAEEEEAAAQQQ6HsCBHH7Xp9RYwQQQAABBBBAAAEEEEAAAQQQ QAABBBDoRwIEcftRZ9NUBBBAAAEEEEAAAQQQQAABBBBAAAEEEOh7AgRx+16fUWMEEEAAAQQQQAAB BBBAAAEEEEAAAQQQ6EcCBHH7UWfTVAQQQAABBBBAAAEEEEAAAQQQQAABBBDoewIEcften1FjBBBA AAEEEEAAAQQQQAABBBBAAAEEEOhHAnH9qK3epjY2qKox2OqE2HglxAa3O7JWVd8QTG75pHQyn2Am rLUqYH1WZX3nXxISrN98G59HP9Rb39f7yg+ti79+fPYvgc/jGuxJ4bPx+g5tk2TPa/8DpCchyRsB BBBAAAEEEEAAAQQQQACBbhLoX0HcxqN677c/VDAU6CjO1aRbr1dGB0Er8l/RXzf+KXCWJ3u5Ll4w PrDNSvcK7NvwoIoOHgtkmvzlH2rW+GR9Lv1Qk6/3f7dazf7apFyr86+bpxT/Np/9SuBzuQZ7Uvhs vL4j2xQ7T1NvvlZDetKRvBFAAAEEEEAAAQQQQAABBBDoRoF+FcQ9kb8xIoDrSG5WceG1ysiO7xhr XCQdw7o6BtjR1InhJ3h8/p9HP8QmyJmHJDCgu6YmynUVXt1euVVXoRv/T42e9VcuNlal307XYP82 n+0T+DyuwfbVrHOpzpbrO7T1kW2KTVbXfjhRo4/W/kDV/uH4Okfpl9+nyR39NjC0jqwjgAACCCCA AAIIIIAAAggg0IZAP5oTt0GHd7wblaJi276o+9mJQHsFuhYQam8p3Z0uVkmhWTY2qaA6dAfrCHgF +ub1Hd57TaGbNh1K4EuY0P3tXo91v8gJJj+m6rLa4CZrCCCAAAIIIIAAAggggAACCHSzQORw0m7O vhdlV7VPFVXR69Nc8pYKGicp52yIVERvInu7U6Br0Z/urEkX8/JEnO9RUv95IkS0nc2AwFlzfQda JCVM1IRLV6jitCz4ahPqJGbbVAqBCVFCEnZ+NSaR/wPpvB5nIoAAAggggAACCCCAAAIInEmg34Rs Dm17q43/ZN+j43kVypky6ExeHTzeoCMHD6i8vEIN5WU6bT+9jUsepPi0oUrLHKMRQ31TONTX6EhZ jWKcGIAFUJrsp74jMpJblFVSbHn40sSkpGp4SvgUECeKC3TUyqurqlCTkhWXkq3B48drlL+ckBxL SiwvX7AmaehQDbHZIKrKjupwfr6dX6bY0fM0bXz7POprKnRwf75qnPrJ2pEwVIkZORp+rgVK2phl oqS4UCfKylRvNo01DYpJtp84pwxVUka2xma2r+yQJrW52hGbYEYNOpS/WycPHnXbFZecrYHjp2vs 0JZ9EzyntbUGnTzcoNpYC5w2NlsbB2iwzRBxcm+53tvVqJN2dSYNiNWkScmaPNI3dcTpOu3+qFrb i51gk0eDh8TY8YHKyQjv99ASaytOaXdenfKKveMO3TzHJWlyTuiYW6cuFs2qO63wsYNNyis4JZd+ YLwGDwqWU1tySgVH6nX0RJOKK6xEq2LmgBilZSRo8qQB4SN6QyvUgfXakmqre73yrAynvUr0aNKY xHbk36DivFPKO9Co4jqvVebIOM20+9kx7sxSZddlcclR99psqKqxIKBdm3bvJgzNVta5Q9s9/3FH 77Mqu/eKnHvJynYUnGsuefR4jc9u635o53OmBUQHru9ueka1qEJgh7Vh/wEdLyxQg5UlDVJiZrYy 7Plll1jI0qCjxZX2jHSCsfastGdYnD2/QtNU2LOt2vY7z1Pn+MCMoRoUWy1P4gClDfT+X15TszMP QvD6dgqoMPPikmMhz6NB7vMoNTvbnqHBe/6E8+y01xr6n5/Ouc5Se/iwSgal2f7w53d78/Xmwl8E EEAAAQQQQAABBBBAAAEEogv0kyBuhY7t3xNdwLe3ZtcnqppyUbuDM21mZgeP7PqT9m19pdXAcaml 2Tf0q5p41cVKLnxbezesD8kyVZU3/C9NDMYNVF+8WXmvB2YvtbTZqrn5+97Rw1UFyn11tWpqLDAX sZTvkg5aOVOsnMBLfGr2as+rPwvUzTN6uYYnb7JA2EeBsz3106UzBnEbtPvtJ1V6cHfgPP9KZb5U usXicOOXa+aXxys0DlNV/Il2rn9CDb4gsv+c0M+i2C8o89pbNL6rbwvrqI2vEvUln5jpEy1+cl2e Z32bMjxgF1rnNtera7Tk+RptCCSq0sNDmnXPicAOW7H+21Gn6y1w+fgXmvWt39cH56v1J/ugTvdO GaAHF6b69/g+a/XGf1focjfgG3rIm6cSK/XxTRma7MQCW9QlmH7JHyvdjZkjk5V7nQW5Tp/S79ZU 6qawegbTWyRYsnNeWDhYV0/pZMS0zsr471bK2GXBNst/zbxU3fCFAaEFu+u1eWX61h8b9Ezkkb02 2nJDjR6ePkDf+UqkVWTikO3GMm1/6SeqLPc6hBwJrB7bkKq0L9+n6fZivTaXDt1nFdph11t5SWGL LJ1rrjhhtjKvurHF/dCR50zodK0dvb5ruvqMatGq4I4T+zdp94bnWtxr1Qelsq1SwaTv6otzcrwn NJZr3+v/EZF2nnSrzWtuKepLtuqvr64NZm5rsZP+TXPOP2nPvMdC7tv5Srj1Gu8z0fr8oxcfVHVV y+enk1FZrj1D067Q+Gsv1XD7kmrfq/9uf1sujfk/VZ4996S/VdKtV2tIh/JtmR97EEAAAQQQQAAB BBBAAAEEEAgVcAYznfVLVeFfVRMWMJymc+bfHt7uqld1uJXpFsITnnmrZNeL2ttGANefQ3PZc8p7 dYdSxv2dM7AxZKlUeX5ZyLZUtGtz2LaGXqEsG2lWX7JDm55/NGoA13+CU87O321QIA4XGx82n2Pz wdVhAVz3vNgzXRo12vHiD6IGcP3lOp91+av1/no3suHdXfaJtr/edgDXTdj4kYqfX6uj3rM69bdT Nk5JVfl6P0oA11+J5qpO1CouVmP8GbifkQHc4MFnD9QpPVoA15fkoV0W9LQRq8GlRk/8rDxKADeY QnVNmvbrY9rtzHnribVgVNvLYKuvLFT19P9pJbgacfqSN09qw5GwmywiRSubdZW6rx1l3LTB0r0V Hlg9+X6pUqIFcEOKumfHKd39cvh5IYcjVsuUu/bf2wzgek+w+3Pjv2pXScTpkZvtvs+s3N/+W9QA biDL+q12P6xWfkj0sKPPmUBenbi+k7vwjAqUG2Xl6I5ntTNKADc0aV3eo9rydoF3V2y2ps1fEnrY 1jco/20n+G3PpNfDA7hKWKzJF4+wSG5c2DNPCUm+F5vVaPvz/95qANdfUHP5K/r0+U2qcM5ybo22 FvfZ2dF828qQYwgggAACCCCAAAIIIIAAAgh4f5F61jsc3vZmeBuHztPEsTNswoHQpUIntnUiOBea hbteo4O5wfGW7q7kizXskhXKumS5EpMjBj+X7deJpjQNGz0qLKe6vE/tB7v+pcZ+ZnzYv+F+Dpxx no1udYIWT4aMLnMOOT9DXqzkoZlh6VXzovZsaX/7ms8QjyvZ8XubJiJi5FrsNPvp9/wWMY7mwtXa UeytTn7u7yPqO0qpF96rkZfeaz/NDzew8W8qDwlahTfoTFudt9m1/j8j6mhlJc9WcvbFzo/8u3nx 6M4Brec6z6YsuDM8wu+W/4tPbASsb9n2YoX+KaK//sGmXFg7MlYz/Yncz2ZN+52F8mMTdM3IeD0+ IvK4dO8I229TESyzf7UWLP5GRL6PjBuonVcP1qapNl1BWN7SgdKIxBHHW242asPzp/RQxIF5g+L0 ayvfxleGLQ9ZQHbDEd+u6nIt2RRRngXPHh8XrwcjvB7be0pvHI5IG5azd6Mi/92IL3vilDh6mbJs LtX0CRdHnGETh3TDi6yc+2yPjUoP/5LJumjofA3MnBZRZr6KX93qey504jnjy61T13enn1ERTQjd rMlXfm7El1Oxk+wZskCJCeHPycaDj/qeIXVKHXuZzskOf741HvyJtvzuwQjHTKUvvlZDmoL3SqB4 /+VQUyxntozgMkjJk5e7fT4sss+rXtTBkgHKvvBrSs5s+SzwpNmvKjLn23NikuI7nG+wBqwhgAAC CCCAAAIIIIAAAgggEE0g/L+Uo6Xo6/sabd7VEmcSz+AycOp4mywxXkMscFpz8FDgQOP+jSr58hL3 Z7mBnR1dqS9WrT9A4J4bp/RrbtN5yactMDha48b+szY+vSoYJLSAWqyFZcbOWKyig08ES6t6Vwdr LpL7i+2SPRHBidkaMTZOJR+/Gr4/dr7Gf/0fNCLOqcASlXzygnZvfi2QZ0OetW9O6+2Lzb5Zw2dO 14DGU6pNaGsOzjIV5L4XyNdZ8WQs0/lXzVZKs81J6rlO29YuV2VIcKRil/02OjND1cXhgeTkuffq /Mnxck8bs1If/vYbqg5Gr8NHz4WV2PZGya5O2thP4E9EBKfjJ6zUl/5mpNxO81ytD357r2pC6th2 TVo/en1Oin6zJNPmk/Vo2e/3aupe7zy2/jMenDFE/7xgmG16dMsL+ZpVYLa+ZcMR73y2SSUndc8B /17n06O3rs/R/FHOSGqPbig/qtt+VRmcbqCiQX+pSNENN9jkGqdL9Zeflmt74PQY3XL9aE12ngrN DfrkD+WBI87KzJGp+s7V6dZXTfKMG6b/W7tP4/YG6yR39G7YKW1vHK7UVyJGsz5+SYaWzfZee7ec rtATq0v0rZD76e43Tyj3liHa9sfakKkppHkjBurtG23EpdXNGWm86IW95hX0fGhjlRZ9La3N+pQe /CT8eObdmn3peG97R9+m/XV7dfig79sIJ2VH2+vLPew+qzmgwv8Xek9katjiBzVlhFN3C+5X5mnz sw8Fpw+oekX7ymZrckpnnjOWZaev7849o9QU8UWPz8D52L3hmeBz0LadZ8hse4YkuH241KaPuV/H CoPP54pcm7bl8sn27K7WxEV3qfLX/xwyrcFpm1c7fMR14oy7dN6QavfZElJs2GpF8e6wOkjTlT17 ujJjm+WxPt97aq+KCoN93lxfp8ypX9GIaR5t++0mVYY8BwZ84eu6wL5EkEXmy/f+3w7m61zkZxri G1Z1NhBAAAEEEEAAAQQQQAABBPqZwFkfxC3JezcYAHE71wKgE+w/tJsaNPYLEYHTxndVXHiVMrLt eGeXhPM045qHLLgQr/gEbz5Dk6pUafOQVtsLvI5t+0P4f9z7A1QZ5yk1wWI2gaDAYZ3It+Dz9EH2 ci2bGDJk8dhLxzItOLKvOD9krwVBss9XbGmBDtbbfKBWftLQCU4YKKS8LfZSIAviDg07zd2ItUDl 3EuyLODhVMiZQ9Q+m1sJwNiLzALVdM8epRGLZmlgY6WvrHiNvehr+njzJnshlM1jaolTxgy3lAM1 5fqf6IRNWxGf7LVJsTlv62or7efMlTqa91ZYANfNupN/Kjtpk1izJ8TLKXy+xl1ic+A2+ufaSNGM v/2a3nvjvztZM/9pHv3zonQl+swmXZCkmTZiNBhQjdUN81OtXG9gavIMuzgKQkYU+rqm9kRzWDBT ifHKiS/T/r3eC2vwwARdZkU+4y/WWvfSrhP6kr1YTfX+i89/sFnNp6rUPNC7PfnybB0vsWtpYKz3 xWX2srPm+nLVnjqt4oIaPRYawPVn4XzaFAlPrKlRnr3ELSl0v63X2kvdxoxJdueprXVfYBaSYFCy ln0xOWjtSdYtVyTpW3+oDSTabrdErV1QeyKCv7dMTdCJA0d18rQFleNiNHycBcRCgrgbik+rwMxy 2njijZ2/Qikn7MV8yQPccFqcjZpvbihXhQUHywo/sZcUBoN5gQp1cCXyPqvY/54Oh+aR8AWlxh3Q wYPeOywhOc01dGbB8C4V3qlWZnfuOVNR3IXruxPPKH+tW37W2Ejm8C/XkiZkmfMBuyztmrOpKFLH TAoL4jaXfKBDjZM1yol1NqVqxuLb9d5rv26ZtbMn7Xadf6HdP03hT6rIxINSR0fs2qT8Z97T/qH2 hVT2dKVaIHjmpRmyweHexQLIzc6/iFcCOgebGivs2vUOA+9Uvmf6+YOvCnwggAACCCCAAAIIIIAA Agj0TwH/f5qepa23t9bv+EtE25J16tAB7bP/to+PDY7U8yeq2GEjv7LH+jc78Vmr1CEpaj6yRwc+ /ECnSj5VQ03oSLtWsmyO04jJs1X512DA1plSQdNnqGz/zpCT4jR4xjjbPqHqkvCgUrP95DjvYEjS FqunVVdlAbEWQdxJGjHHApVNp1qcEW1Hhb2YLGT8pQVqpyk9LvTcBvvJ81c0d9yC4OnNdW5AJT4p Uec0Hdfubf9PlcW77E3wheF5Bc/owpoFzDtp0xgxctCT/UWlh/0cu17xw851g3yRIdAOVdiCVJMG 2FBlP2S6d3qCQBA30eatjQkGbZ2RytGW4ryIQHtdvcataTtw9Z4FfltdnKi/f4lpVlpms3a/e1wb DjRoQ1mTnm1Po0/HaENFs72ULXo58ypj9B0ro8CJqoYs19sUEM1h1nVKzErQP1jALBCEbrRgbEW9 /hKkcXO4/U82TUSbS6NOOue09cSL8eic9Bjlf7BR5YXbVVv+qQXlwuvYZhFnPNjyPivbtzf8rPo/ quClP4bvi9g67b50rXPPmcaG8PZ06Pru8DMqGHyPaIJ9gVCq2ojLtGbz/bInXhvLYe8I+GQnid2H w7+knAmbVPBpXsQ50zTymi8pvj3Ps4yJSragcPh0Fjaqt2yzyp1/O2RB9jjFZlypkX83T6Pcsp3i YiLKjNjX6XyjZMsuBBBAAAEEEEAAAQQQQAABBEygrZBG3wcq22Oj6CKbsUFF6zdE7gxsNxf/SQWN 31SOM9qrk0v+W4+o+GB+B88+rXOmz9NeC+IG4mRV7ym/OEVVocGOhIUanWE7mmN1OpCwA0U1RWmY BWGHhgQMz5ibJzTSZ6kThrUMabij1VrmdOLT17Rz4ystD3Trns7blB87FF6T2CjI9VXBPgpP3f4t 584Li3FGfKEQHmtT0shEC2bWBYOZvpJqwzNpV/nuaNX2pKwo092/thG37Ukbmibi8gg95Kw7Y7K9 i5MwFCF03Zek7nREm20MZJ1H4V9f+NKe6eMM9VLVbm2xl4dF6fEz5dy+41Hus9P2qqyOLs2N3oZ0 5jnTteu7o8+oNlpmI7Ijrvg2EvsPhX5RZPuaTyneO6Dfn8D32WA/tLC0Nnj9jIsNO79w6UPa9trP VFkWce8HTragbsmLOvC7raq+6vua3OJLsEDC4EpP5RssgTUEEEAAAQQQQAABBBBAAIF+JnBWB3EL dm0ICxG1r2936XhehXKmtDUnbOs5VRVuaBnAdV7WM3a2BmaM1uABpdr7pyei1yt+nAYPjdPxMn8E b4+KX98TVlj8hEuU6swZadMlOD/3Vr0/re1KW6xhYzLtZ72+U5xPm9IhMGbMfqYcPzRK1KMx+GNt 35kd+6gpbRmQqSnT7vxC+1m01dFGM8akjdfEbNvXIoBrL2LLXqyUEaOVOmKAjr68MmSey45VI5i6 8zbpCdN1OD9o3lwTEThyCrEpIpxQuJ85WG4H1kK6rX1nRQ95JQ10eje0JrF664v2k+7ALicwamkC sftmm2YjqR1FNugP/90ygHunvfhskQWUc85NVvG7pfrKkSiB14GJumaIudnI1xYlWfBusr2sLepi x1osiXEWvA6dDiLG7qE45UQkvHNcsq5OC0ZpnTGgSTadQ2CxwGdOxAvPAsfclQbteLVlADc2Y4Fd m5M0cORo1b3/Hza9RMeDroFyotxnicnpdjg0JD1NQ2bMDuk/m1pAAxQT6L8GedKGqbPPmfSRXby+ O/SMCrS85YrNue38n4/TOv8SO/pmDU6NDzxLnCs+zkas+5emxnilhQZmyz5R/q7IUbhO6jwVvbRJ 51x3sWy2ljMs9WqOS9X51660dKd1ZO9ulez7SFXFG9UY+mx1cynU8a17pcvGnSFP53BP5duOokmC AAIIIIAAAggggAACCCBwVgqcxUHcMpWEBOM60ns1uz5R/ZSL2jWQKzLfhqqIIE/K1zTzhgUa5M53 2KTm6lpZGCC4BIIzzq56jZyxUMffeS14PGzNXno0fbDt8f4ufGBausrLgwGgxDGXaMqFzouwgkvF 4TwdPnJKnkSLGiaP1/gMK9A5vQvLoMxpNtfu68FAdONmFVVdpkEhEZOju55X6Y5dwVIyvqOJQxsD ARrvgWnKWnq3xiU7EcdGm4/3pNox8UQwz1bX4tRZm4qqiIB2ib1Iqn6yxoYEj07s3xyMkbZah8/m QOZI68+/BiK2mpmRpPmXnBNeePVJ/eVDG71tQcxai+aeP9Xmw406V6gFPQPXY7PKI66TtZeP1A2T DcK+RHBebtbyx/K+oGnzAN1w+xDdEF6L4FazBbhs2oSc8VZYyMvcnj1Uq1/bvMmhgd/aXafCR+LG xirTgsTnOwHZkPpdPTtT80cEi3DWCj485s6Dm1TXrMHjBmlwlOlTgmfUq96IgkucUuc/qvPHWUG+ 9u4OHuy2tbQRoyzm+HEwv6EXa9qFs4LbztqpI/pkp93nTlU0RNkThqjhk849Z5rU1eu7I8+o8GaE bcWmKsEupYaAeZwGzbDnV8Sle2jnR6q0y9tjI7ITR4/T8MD1WaPtr7fyZZhTUNVz+iT3PH1xVtvD Zg/lvmgvLqvwftEVO0zD5n9VM8ZOtQL/QVWVR7TvTz+zaRWCz1hnrt7WlmCgXerOfFsrj/0IIIAA AggggAACCCCAAAL9S+CsDeJWHdweGuOxXo1T2qWPanJmvIVKQxb7j/Kjmx9R0achgZSqV7Wv6iJ7 A3xIunaulpccCkvpSR6q1MALv+yN7Bv/Kxj8dFLa6NhgLKrJ5pK9RIkWxA3uC8nORtqOTrYj7oDF RqWP/YKKDv4xkKDurz/UX4d8T9PP9Y4iLtm/SXs2PBdS3hQdGvdNWdioa0tyho1yDJ1HskKlr76s I9deqREWmKko3qF9oQFcKy15bJaqynJD6uJUYZAGJtnLgHyDTEt2vdFiFG6npoywEGunbUbPtTHO r4eMEDysohdfVrKvbVU2H/DuLe92za8bz04a5UyzUB8IdG4vqdb/t77YXhw2yA2G1pbYS8b++5Tu CcZ59Wpmoo2mtQ60uH54ILZJ2/OqlTMiRidtFOK2kHMsqqXhg+zFZ/7RpEdO6n9HjMKttUCb9zfs FqRtDLvLorY4aWSCrjfpZ/1HbcT2t148qcevHeyte8FJ3b4hfMjy9dbeJLuXZ4600bwhAeCvPHtA H39tsCbbvLrO+M7db53UtB0ho5fzGnX6ducLkFYWmyIj/D1vA5Rg93+gvSU7Wo7C9b1AsJUc27V7 UOZUi5v/MfilQNkT2rppuc6bM94dRVpVVqBPXn1UdSF9cTr9UaV28jmT0eXruyPPqLYIEm2+5VGq Puh/Xp7WiT/+Sp9e/lWNd38t0KB9W55TUV5wjnDt/7pGX3eh++XaoS3PhLwEMno5dTse1e5z/73N 6Q/iGkvVULYzkEHRW+co/arZ9mSy9/kNHKrhI8eGB3EDKe17kJB1Z7V+32GVpA/T6Sq7W7qQb0S2 bCKAAAIIIIAAAggggAACCCBgAg1n75y4h3f8ObyLY/9WI0d5FG+jAMPHUtVp7PmX6ogFcYM/5q7Q iR02JtRe9tXRZejIceE/xy95XJuen60BQ1N1umSD6mrCg1Jq3KkTNVcqw//CnKbBGjZ6lAVn/cGN YA2SZ8xQQrCSGjT2SqW990eV1/jT2JvrN/ybNm5ItZBbZUh7vMfjp97S9QCuk1VzqiZesljbQ0cM 17ylvWvf0j6bPqHly6BmK3tSqlJOj7Z6+WLQbpU269Nnjulw9hgbObfb3lZf6O4N/ilWdbE1brwf J3jkTGudtonJ0HDzPxzq32bbzlSTHj4+YKjun1qtZ3YGQ0ordtTI+TfP4rQbQoJ/bk2GDNBlo+wF Yk7kPClO59vOQBDV1m962yJQtswcmax/tvMfC5zfrK+sK9TDY+KU2dikhw5bwNdNGfzzu4J6ffP8 kCHLwUPR1wZl6P5xNXo2JBj7zAGb9/fRo9HrbuMl71/sjKys1aRFqbrz8fLgfL1Wp2lryjTT6uxE RCPr9uplzhDPNgLLCenuFxPVgfZW6PgrP9D72bMV11ho12HLcbi1h49J5+VYvl1YbHT8iAl2vX0a vN/r8lZrW16cPNaWFvdS2u2abEH2mtrOPme64fruwDOqdZnTGnvJzTq65sFgALtxq4pfsn82Slf2 xVfkkvY3f2MB3FNSyYc6kPdJ2GHP6JX68oIB2vrkvSFfgNmXS6+/rBM3Xmnjl6Mvw8ZcoL27gkFc la3VX3+7VcmZ2Woq/9BeBBlej5gU/zQ7FuS36WyqQ6ZcaDj4U9+LJf9WE//+AqlT+UavJ3sRQAAB BBBAAAEEEEAAAQT6t0DBW78KTpd6VlHUF+hExNyVsWO/pCHNzgyMTpQm9J8Fs1LGKCUiTtiY/55K 2kIJBHvCEw3KvjAiSGyBmCp7Ic7Bt1oGcMNP9W1ZUHnGgihHLBA6ITz87Ex+O+OaFS3KU5QArhIW a+JF/gBEy+xbaU7LhO6eehsxfK2yJkxrcbxF0MkZAb3oNmXGWAAtIStsygX35MZ81ZhNywCuL2uP f7B46OyZIcW2VvFO29jP/C+9SwOjxCJbti2kHmdabTHqNeKEMx235OGjZn3nN9dqzKIsvRolStUi gGu3e+6S4d4ArnN67EDNbOWSmBQXp4umOhHR8OWeA6d1U5QArpNquBuiD0/f5lZzjSZdPVwvtKvu 0guXZ2lSgk8hYbB+eHWyZkYUsN2uh8gA7vU5qbosO+LLk4jznLkKhrS4nitVV/hW1ACu93Tf3L6t XYMtyvA+ecJ2W//lXHKv0tL817n/6OmWAVz7CuacRV+yL6Ka1PnnTHdc3x14RvmbE+0zfrSmXXpz yyNRArie7Hs1Y7jT9xXKff2ZiHPma8Kldl03pmjy/CXhx+rf0u63C1z44Ncc3iROtyVkXqJM+9Im bHGeSTa3eWQA13mGTrjY/8Vek9JGjAs7LbCRYKPFO51vIBdWEEAAAQQQQAABBBBAAAEEEAgIrPj1 xrMziFtVXOCGaQMttR/HDpmSFdyMXGuOt9FwF4fvbfw0ZIRr+CFnK8Z9IVFwf4zzAi9nic/SBdfc q8QoQUBnSofE0UsijhWrpiQwlNabR8aMFkFET/Y8ZTZFBjJtHtmkUfrSLT/RkOyWAVVvZvbisAl3 aerN12qIzUMadUnJjBIIjpoyuLOp2kbS3aXJNpou1t/24FF3zWPTP2Rd/wvNyPIH0BI0Y8lDShua GZHSu+kZulgDI47VHylzD8ZHeMf54out9oNdAZ22aUrSBTebaeakqPVMnHC7kp2XyvmXlrFO/5Hg Z1KMcoJbFjOMeLlXnEdhKu4Ly0JP8ITNFRs2hr6pWZfdfq52XhBv0xNEX+4ckay9/3OsZqbaSMbA 0qTLbh6mtUN8c9kG9jsrzRpz6SjlTg1pZ8jxmfbCsRfGhR979lhD9EBzyHktVptidc0Z6n79kHjt vPlcXTMpZBi6lZQ4NlMf3pymX0etv5UUG6MX5g/Tuv8xNBi4blEB/47Typl7l86ZMNu/I/wzYbbS Rocfay47JGfccuvXYHgWau0+a/JoxnW/UNbUBa2GwWMzvqacpSs1caCv/7rynOmO67vdz6gIg7DN WqWOukQX2fMyOS3s6g+mspdCpl20Sl9eNNbtwxN5b6rGib4GFudLoht0jvtsc75cukzp2eF5NR58 XvuUHHbLKCHNO/1z8ymNv3Slci5cYs+xQKYRK3GKz16myfYMTQ88Q5s0cu5ypY+O8tx16tfpfCOK ZhMBBBBAAAEEEEAAAQQQQAABR2D67fI029JbNU6f2CXPgFaGCrZVac9AeULfMuOkbbK5V9tqaUyK PJ7QwJrN/9lkP6Vt7RzPACsjJIjlvqyp1lsrT5IdS1DF8VKV2wBUZ1RndX28hmSkKSXW/gvf+Z10 6NJ0yupmgU6bH7fe5uitLfxAO9aHz52b9vf/qenuSLTQE/3rCVaevfXI5hQtKSm18Jb91LfxlOoT Bmj4OWk2BUODtSU0UGz1iw2NMjuj/kKDe/582/EZYw42WraqslwnyhvshWKyOSQblJIxQhkDLJDq lOuf9NbNzuoam6j6U/ZzdUsXl2btdc7LSNfQRCf64fRBSFCxuc5Ot+BzjE0R4Qndb2ZNZtZWP/jL 65CNe5L98dbThk/riGNqVYuLHWDzeKZrUKxTbkjfOwFj/1yx/tNbfCa67Q7ujjznTH0SeTzyfHOL STajZtUeq1Kxvb9qcGKTTtbZ9AejbH7cOKcvbGeL69mpl3MtNKrWaaRNS+AEP5MSPZbeLl6nfxvr dPKQ9ePQRNVanyUNTdZg6zc3r7B7JrJOwda2vRZa91MqrrByncW+CcnMsLonOXWPvI68SeTea1aX WjvviF0nA229wuo4yOp4jr0izfcSNV/qM3w49XDaW6ujxeWy4bH2k/pTdo2mKSPV7lnHLlp7W70G I/usrfvMbxCrMntuVFtzkxIsKG7PDfeai9Z/nX3OuAqdvL47/Yxqg97Xh/V2rx0vMffkATa9yinF pKRp+DD7iURoH7Z4Tlu+dl03uy+O9JbhsWeF3QghBTpzOde3ff/F2P9n2HPZeY5VWp+7daixOiSn aeCwAUqx53OzPafDF5vywu45p6z6Ousrs3FefJZk90+8x+41Z+lUvt5T+YsAAggggAACCCCAAAII INA3BZot5hU3ZEq3Vv47jz59lgZxu5WpC5l5/IFSJ6BgESALRrS61Bdqy9ofRYwg9qWOXaCp/2Dz OoYFQ6PlZIEmN7joRpsswRnKjJZFZ/e5bfW10w3CWkCjrfqGpXeq6ozWjfzBc2crE+28ztpYUDAQ uPsMPaM1oV37LBjosToHlvbW2c5z+s0JfrnfdjgBdf9iAWv3iwenf5x01lchQTN/qq5/OnV3guPO deQs7a27k9bfT3aOe77V372mnGMdXT6r9karVyf6ryPPmRZF+t2cA2fw7pZnVIsKhOzw16U7+jAk 246shj2XnOvQrnl3Gp4zZeI8X6LdO77zOp3vmcrlOAIIIIAAAggggAACCCCAQG8T6Ikg7mNr14b/ wrS3NbrP16etoG1k42wUbWshzOQLF7UjgOtk6ASuQoNvkYX04HZH2upUo6Ppu1z1zto4weguF/4Z ZuAEnVqZNqPNWviuvqhtdYK2TpC9pxen7m180dFm8d3ZT59Ve6M1qBP912kzp/wOuHXLMypam/37 OlAX/ynd/dlpS+f50kZlOp1vG3lyCAEEEEAAAQQQQAABBBBAoN8IpFhLnWF1LL1CwD/6MLwysaPv 0oyp9vNiFgQQQOBzFeAZ9bnyUzgCCCCAAAIIIIAAAggggEC/Fgid2LNfQ3zujR8wUtn2lvr6+gY1 OYNpbT7boWPGaXhy5Hy2n3tNqQACCPRHAZ5R/bHXaTMCCCCAAAIIIIAAAggggEAvELBX5zCdQi/o B28VmhOUM2GsrXt8M4Lay3iaq2xaWd/P3HtNRakIAgj0SwGeUf2y22k0AggggAACCCCAAAIIIIDA 5y9QZO/PZiTu598PvhrYPJxN3nlH25pasddUl4oggEA/bgJp0AAAQABJREFUE+AZ1c86nOYigAAC CCCAAAIIIIAAAgj0EoEHX9suT7MtvaQ+Lapx+sQueQYMarGfHQgggAACCCCAAAIIIIAAAggggAAC CCCAQG8TaD5VobghU7q1Wh6PhxebdasomSGAAAIIIIAAAggggAACCCCAAAIIIIAAAt0ocPsUgrjd yElWCCCAAAIIIIAAAggggAACCCCAAAIIIIBA9wp85fs/ZCRu95KSGwIIIIAAAggggAACCCCAAAII IIAAAggg0I0CCaMI4nYjJ1khgAACCCCAAAIIIIAAAggggAACCCCAAALdLhDT7TmSIQIIIIAAAggg gAACCCCAAAIIIIAAAggggEC3CRDE7TZKMkIAAQQQQAABBBBAAAEEEEAAAQQQQAABBLpfgCBu95uS IwIIIIAAAggggAACCCCAAAIIIIAAAggg0G0CBHG7jZKMEEAAAQQQQAABBBBAAAEEEEAAAQQQQACB 7hXIzy+Qp9mW7s22+3I7fWKXPAMGdV+G5IQAAggggAACCCCAAAIIIIAAAggggAACCPSQQPOpCsUN mdKtuXs8HjESt1tJyQwBBBBAAAEEEEAAAQQQQAABBBBAAAEEEOg+gTVrniKI232c5IQAAggggAAC CCCAAAIIIIAAAggggAACCHSvQMGhEqZT6F5SckMAAQQQQAABBBBAAAEEEEAAAQQQQACB/irAdAr9 tedpNwIIIIAAAggggAACCCCAAAIIIIAAAgj0W4E1a9YwnUK/7X0ajgACCCCAAAIIIIAAAggggAAC CCCAAAK9XuBoaSnTKfT6XqKCCCCAAAIIIIAAAggggAACCCCAAAIIINAnBJhOoU90E5VEAAEEEEAA AQQQQAABBBBAAAEEEEAAAQS6T+DJJ59kOoXu4yQnBBBAAAEEEEAAAQQQQAABBBBAAAEEEECgewWS kpIU171Z9qLcGmuUn1eguIzxysmI70UVoypdFvD1beLo8zQqpcu59XgG9VVHta9QGjlpuHqyuk45 BQfLpNjg9R4Xa81LPkdjswd52+naFSp1/HgNT+jxpp91BRzKz5cyx7vXnbPeOHSMcoZ6vatKCnQw v1BNaTmaOCVb9RHbvYn7RGG+ShqHauLooWddH9EgBBBAAAEEEEAAAQQQQAABBM5GgZizsVFum+qL Vbz1CR3OPXTWNvGsbVh9od5/6l+142BN9Cb6+vZYYW30471sb23hn1W65Yc63Epzuqu6tcXv6Zhd 88e2rA78K9q4WkXr/02bXtqqKqcg1261Du/v4cp0V6N6VT61OmaeBzbutVp51w9v8T1f6gu0/dVH VZb3nE5uzVV15PZn3I6CLU9r04ubVNFKucd3/KeOvf22TrRynN0IIIAAAggggAACCCCAAAIIINC7 BM7ekbixsfI41rFnbxN716XUjbWx0aP1qlRMY1L0TH19G5PYyvHoZ31ue5NGXqP0i/6m50e+xnnH eiZf9JBmTEizMKN0uqpUhzf9TOUla/Xp/un6Qrbvvojjvuj4BZEoZ2Szxx3pnKrsS+5V1YBMN5v6 4gI121raol9rxshG1e1/NWy7ubG648V15YyavWouH97qfDkxCQMs91RZc1gQQAABBBBAAAEEEEAA AQQQQKAPCPTrSM6+rS/qSN4mNTeetq6KU2zm9Zp82Wwdf/s/dbRkuMbfcK2G+zqxYv8G7diwSWkL vq9p2ae16+1nVXbwI/eoJ2WeRlx2rcbab+WP5D5rP53P1ohJp3Vky4tS9nJdvGB88FJwRpn+7mkl nH+lTu96WjU1TtnnKHnWNzRrure0+rJ87bD8a6qOefNPGK+0L39D00YnyxlhV1icrWHZZSrdtdmO O/W+USPGW3kb16rROSN2vIb+3Tc0JTvZPb8g92UV7njLDSopYbIGz7lF0871Hjuat0H77HhjvVOP VMVnX6vzFlwg34/v3fOdP1UHN2n7hnwNmTVe5Vufc8tx2j18znSVb3TaUWmprB3TrR2zhnvTv71B g/7uLk23ert5FG/V9tc/1Igb/6fGxpZpx+trLbhoP0+3xWP1GvLlWzQ+pUC5rz7p1rVmo40g3XaZ pl97cYv6OOec+midtmzO9dY9NlupZjhziv/n4TWt9pFzbujimB62amTdcIvG+n7zfmjrWh08mK3p 183WgRd/olNpV2pg4+s6WWjzIjjm2bdo6oLp3no1hrclNvOrSkvJ14mS8W7dY05u14m/HlXaxKvc /mu9rHlufm31V2i9W11PiFF8XL3cH/kPGaqUC+brvTf+W01NUUJ2NYX6yPqhutzXLt89MMTNvEIf O31UvNt77Tj9O+UWzZqd7R7N3/isjuZv9h6L9R2b5T2mNvMNrXmNdrz0E1U0zgvp5wbteulHqhx6 iy76crbavkbb389Oqa3d8972htbLvkiwa3P7hmdV596HqUqedFVIgkqV7lyrunO/qZKKrdqz5XX3 WMWfvqPNQ2eoqeS9wPZfzv2GtSNHFQc/1CcbX1RDve9emXKjWeZIdv3k/u5JJcz+qrTLvMvilXnD 9zVerfWNmbVxTRa9vVqlB50xuH/S9t9+qEHzgvegW6nAHyfs7F1ac/m8n4Ul+zcp32wbXbM4eVJm 27P2envW+g0us/vyLd99aX1k12eaPtRRezY2233qSblYo6+6VqN893WX7y0/GJ8IIIAAAggggAAC CCCAAAIIfMYCZ+90CmeALNn1nIp2bbD5Qr+stKk3KzllgBqL12pffo1Szxmq5poNKg75yXnRjhct KDBG6SOTLMD0r24ANzZjgVKzZ6u5aoOKnl+ro1Zmdfk+NZdZ3hbAbbaQXFJaekRNTqu+8Zgqc59U jS6yspcoPvaYanJ/rfx6J2mFBbVWWwC3Vomjb1ba6IstmpSvk2+/6f40uqnmiI2we8UCuFuVPOFr vno/o8MWwG3KWOxN35ivMvuptBPGOZprAUongJt8sVJHL5CnfrdObvhX7SqxgyUf6lOrZ6MuUOpk Jy+PGgqf0c6NTkAvfGlqrLRg90cqswCuMpcoNXOS2+7i9VbXxhlKm7zYRvVZO3ZYO+yX+m56266v DwYOm2qOmkmRTlukeffrD7oB3PjsJVbn+dbG3VbnX6ugqlFxySO8hcdmKSFlcHhFfFvOhdtc/p6a kv/WW3ZjoSq3/ru2+/qsrT6KzNAxVeMRt17+Y3XlFriscgRjdbrmmBoOPmmBohhzsmslza6Vwie1 1y2rwQJq/+62JTbD2jJhgZqKn1NZ/kd2fqUb7G6qP6bGmg9Uaf3bdlln6C9/5c7wGWMjla1B3n/N dSotOug7wx2bHnJ2mX2h8CO7Zo/atbZEyUPT3Xtg56s7bCS000c/1kkL4MZYfw+ZvESxznW66wnt sf49umOtii2Aa99qmL8dc/v+RzYFRoOd2Xa+IRWwVfMtPxaw8h5rUl2ZmTtfcJzhGu1IP7d1z4fX ybbsesp9dbUFcMt89+F5qslbY9e6P2WMGsoPW6z6hGqrTtuIV6urBQ1jUsbYLwDsM2Q7LnmwBYQ/ 1F/ffsYCuIOVPHqxEhMcy0f1/o4yu/YrVWtf7pRvfNQCuMfkSR5vI37bMmzrmjxh9+kQ6ytvPWNS nLyC96C/9qGfbbl8rs/Csk+0Z4N9YdSY5d53qZnj7DrZbF+O2TcugfvyGbsvU+y4cw1WmulqFVsA N2H015SaMcLSb9DBjU767rm33Iz4gwACCCCAAAIIIIAAAggggMDnINBvR+JWFltgK3aBptxwg4Y2 N0lfGKGN//WQDQmN0/Apl2rfB5tVueuQdO5EN6BzwmItntGXauiRvyi/7LRiJ6/S3IvPsUiix0ad jtJHf3rBRnNeqyHe8Y+KHX2v5i6YbMfr1NxUF9K1vkBa8hJNvfHvrexm1Y+Md0dKVhdadCyzzA2g JV/0oC6c6gwfm6dP39ih4sJEXx7u+Eqlzn9U54+1ffWj3Xo3Z9ylL181xa2PN70FbhqP6uAOGy2c crMuumGeEqws1c/W5v9apRPb9qpqijcilTjhSp1/kf0s3LNQH7/4v1WbnBZSX9+qr9qxE1Zo7t/k 2M75+vCpb6u6cb4m3/x1ZVjeFRkN2v6udwSidy4LS+YJCRx6vHWPsR/6V5uhNVYZ8y/TuESP6gtH 6YP/d0TJFhSfdEO2Nj75gAbMvUsXjI0xv1OWNnyxHpOGLtOXr73Q2mzrX5imjesesuD4Np1IjlNZ G300fLx3ZHB4jrLAW3CJceNe/vo6+0cpc+lKTUg2s8Zx2vz0Sp3aX2pBzOMqt8lmPdnW35dN8NZl qtXl9z9xq+VmE2h3SP7BVQXKOkN/acG4kLNaX61+98d6/6+palKyBY3t5VvuKOlJGjLafkLvWPmW I1ufl3Nlpi36hWZkW7s8i7V//UM6fPA5HawZb4HUCnky79Lcy53rykZjZ1ToI+tfx8m9f+xzwBeu 0Iyxlu9F07X12XWKS4hV2/lOVyS/234r3rVy62bXjG147H9V9XbAlmjXaH3x+x3q57buebeQkD+H tr7qhsGT5z6qCyd778OSnQO0+713QlJZHWM9GvXFJcrMGmj38HoNv+YujYuLUf3h9OB2bL12vLDS zpumnG/cpVHO88Zztf66dpnKt/1FFZOmuaaNmqRzrv9nTUptsi+BHmmjb/7Fd61GuyZP6YJFy7T/ T4esHy/QjOv+h1KaatXc7Nxv0Ze2XD7PZ2GFCuyyy1T6knt1Xopzfc7WB09+254eTn/479dJyvr6 vRqX0GTPnwp7/qxX4oU/0ewZ9rMIz8Xe9I2WvpvureiC7EUAAQQQQAABBBBAAAEEEECg5wX6bRB3 7KUrlVGcrwPrf2tB2XwbcVcY1I4ZoWGZg3SseIMOaaKG7Lef7NvRYTPGqPakBUVtafz0MW0+0Gwj Ti3QZ6P2nKV2f7EFn5yRiIM0bO5YGxHnjOSMvngyLN/GKjemFj/sXDfmedr5ufuAyZp7y2rt3f2e Pnj5Y9WXfWQj0SwPb9zCVpz8MzUw2+JqTTbPZpM3OJM4Jt3K88676Q0KWrL6WjcgrKp1+mDt21bX BgsYlrltUfEeNcyb7Yac63b+q97daVMpZFygtBm368KxgyICz5aXb0nKHuYrxx02LGWcr3RfO5rP MOIvGCRNVcaEaare/bGK1tyhI8mTlZT9txq35AadE1tto6C9bk2N5VYPf/DaX4PgZ/LU8wJtVtJY 67M4lRaX6lSV9YktrfbR+HODmbS6ZoHJ0CV2ms5JstHITvTYk6oB1lWVjRa4Ljvkpho0dVSwLkPG aZDFict9RKHZRF/3lXWG/jqhcfYlQXuWStXbiGbppP0bqNihl2j43yzR2Hj7GX9InaptlKmzlP/5 X7XZrqsmZ65XmwbB3VcYqwtv/rWO7P1I217/jU6V7fAFg71zwGZOXWBfLPxW1e98R+++m63EzDka dqkFMNMb9OmutvK1Lyoio7huieF//NdKSsbYVq/R8j3H3ZPa289jL23jng8vXnX/P3v3AhzXdd95 /seH0HqgpVigbRG2g/YLsB0ir2acgJqsoDwATQJyMgI3E5DlETlTS3i2QG6WZO0MiKohWVsgnAqB dSRUjcmtXULJEh1PAGeKxGQIeMYEMyGQOOz4AcYWaI/UkK2mbKFli4BENiQK+z/33m40Xg3wJQLE 96rYffvec8/jc87tKv1x+tyrrg1lKvrEKutz/48I68r+J62xIK73B4Tc9HYfXr3m33vvXrMxYn0/ /fM1m1XsLriokc5/rxHvPrTx6R37tl69usHLc9WHtqj0oSs2jmxGf96+uWpzfW2bc0xet/qOW36u zu/ad4f/HeOSz7d97LfyuNzF78KHP7lVv1r8G/of3+rR11+12eH2Pe3+BpHzZyEz+JjWrfXvS//7 Z639OiJkBq4/JoI/kLjd/N+Fi7+3LC82BBBAAAEEEEAAAQQQQAABBO6CwIoN4r7413+s5PdfMPLH LAD1uB5Z/6re+N75oAvSivzyP9OP/+rPbNmEq/Yz6q9ZELVWH37/hP0810+y5pGPew858j99Uqst yLp2vYXYfuyCJ7+q9z9wbdqsxyDjqbfrubNzM/sWnnjrBf3tl7/ohWpXFf6KCj/5Ob3z4p/l/Iw7 yOIdC976sUrvwOoH5gp2+uGOVRYkXVv4cHDhKhU8akHDNR/XfQXF+rV/3a7vfetv9BNre/q1cxrt P2cB3X+tz/5u+VTceKrWFgh2QeNsRNnWss2E23ISzbN71VuewAUs39aHbZbtIx8bVuLieY2/cl5X rS8ufT+s0d/9P/WZRzJhmgXythmO2bpM2vw872FN92l1MKrn7aN56pd7eOKqzbK1QO3UZuGj7CzW 637QzZ1c63dC8OYnt1nJ2UD6VAbz7k2VtUB/zZvD9BMP/fof65c/nntrv+sHtbL199P7ug/rvkdK pmYhP/IZ239bDz14Td/+8r/yZhmroEwPPPZ7Kpj4qq2P619b+KFf16/Xleu7F/r1xg//RulXupS0 f6nyf68iL8l8+ebWy89rVlDUFhoJJuBa984/Rj/zc/71i+3n/Pe8n1fmNWMTWu3+aBJsNuveHZ9d XzuYGbKZtNM+B+N4zUdseZCP+CksUFvw6C9YJPdhPRCMs/tL1mfHWKb8uftmrTdL10uc7dOcMZmp wyLf87vcve/CK//jr/Ttc3/ptWLNo7Ze9M9t1JV//PMZrcoCBMcf1Nr7c/5SkU19e+6tbHbsIIAA AggggAACCCCAAAIIIPAeC8yOqLzHFbjjxa2Zq4lX9cZLFsB94A/0S9t+W4UuLHPtkv67BTIzwbeC D0b10Jo/09jgn2rcZsyFfn6jwjYNc7zgEa/Ka2092s9uCGZQalQXurotGPyoBXHd6TVaMzO2sMiG Xnnl214AN1x5TL/4cYvuWJnf+2lMV20N2yAUNE9Oc4SWCh7wrrle+Fv67JYN2eu+e+aYrn7ApvK+ 8t81MJjUx35/uz75C79t56/qYleDPZDrJb2puYO4s6NV2Wyn7awOnHIDoakXv25p3BrBb+vi6Ral f3anNv7WTsvyX+vKyFl9679asPoNC377xNYXOVHqabn7H669+IoU+Whw5nWl3MOcLL6cKXvePpoR hrvPWz7ijZyg7esae82C1dOCuHNUwA6tXuNX9qfDP7BZycV+ous/0BUX7J/j+rxlLdBf9gPxRW3v Xv+pzeacK6g//fL7vD4a1SNP/it9Ohyc+/E/6Ot//ZJ+5uGf6n9YG9b8rC2f8dsfs3F4XePfu6xv vHrRa9cP/q5DP3y9XJt+559b/221Pz68rK/HDtlsyTH5bZwn3w+6pSz82eN+iffZEgy2d/XBqfH9 +ogXpHRht3Ebo0PzjNFrBe/3slhcPy98z/v18V/9MfT39oCw39f6n/XH4cSr/+jdm344MDf1QvtB G8c/pk9s+ZzsW8LbfvStmEZ+/GF90Nr/sjuyxs2e9u/yvH3zwfu99be9TBZ4yf+d4S5e2OVufReO vjRo9XPLJfxbW3LFvt8m39QFC+Jem/M7fQGI23RvLVAKpxFAAAEEEEAAAQQQQAABBBC4YwJzRTjv WGHvacYWD3EBjOsv92jo679oO5kZdRZAKvigH8a7el4vfucjCq/5kX70N3/qVe+tFy5pPPJzKpy8 Tx/6uc/q0re/bhMwP6Kichesm1DhhzZZcPfLevPv9urCW59X8WPSq1//kgUf39H9k/9y4Sa6OE2+ LVhD9q0X/lov3Vest4ZP6/VXXdDrm/rhq7+ZMwd2ZiZzhJbWfFjv/9Bj9rP3L2rgzL/Uh8s/ZOv8 /qVef+UF3ffoP7Pm2NIK4/36frc9Eij6Wa2dsOCjxTJdoHZW/HGhes+oTuG6j3iTE6/+3X/W9++r 0DvDf6lRbx1cN5PRfuZtP42++tof6R8m/qXWPfaA3vju3/k5rLKSg7Le+sZ/0nfSv6JPlH1oVrv9 vv0T/f1gvR776AP66ddjXuDvvk8+oQ9+6EElb6CP3rf+YxoZ/i967dzXFfrMB+zhbfZAK1eboCrv ztN2F6cv/NlNNpPyyzaTuE3xgs/LxcZ//DftfhNmIUp5y1qov2xdz7//Mwt+F/ymfn7bZlu0Y75t 4dCdu/IjG7fo5e//sUb/4xf0j//knytsocGk3Qdv61c0GdT9+mt/reGX3tXq176uV+0BeW57Y/h1 vW/8RXsI2oD+9r9e1QetfyZe+bsg8GprxObNNzeA63Jbq4cefUxvvHxK34sXa92jV5U89/+6E/6W Z4ze2L0YfNXlu+czZdp75Je26BWzeeNrx3TRbB7RK/bwwK6cFDN3M98vmeO5n9fqw7/023rD1mv9 xy+v1WMVn3VfGr7nI+6PELN7Mr+hzbrNMyZdDfzzAxoe/ICKyn5ZkUzkOFO97PsiXO7Sd6HfhmH9 5B/+QS/bfTXqvmddvV+9oMsTT81rkG1a7s5tu7dyM2UfAQQQQAABBBBAAAEEEEAAgfdOYHHRnveu PrevpDVuxp/bvqM3vtNpgae/CP79pX1O6P2b/sCCjD/QG4N/bMGZP9U7j1bqPgtcTb56Qj/0IgVv 6wOfecILROrRLbaeaPAT3cm1+uXaJnu6vM1hG7K1a7/arjct8PnAzx/Shg+4sJ7Nzp0jeOdVxb0U POyvZ5k9MLXjZiQ+/Ml/qkceedgCZCf1w6/+sS3n8Kb9lL3MEr2q0fgPbJbjuqkL5t3L1CGtT1Q3 6ZH3f8SW7f1TjZxpsfxe0JoP1eszv1Kkwo/X6gM/+1lNvvHf9OrXWszh/9P1NbYOaPWWWWGl1Ysq 11XIynZbwSf0wZ+1el/t16tfbbEZjUmFrB5umu3aNQ/pM7/zf5jhW3rTDEesnT995ZJXr9JP2vUP flSPvv8xq1e/Xh+M26zgubdVhWVKDx+zdn1Rb7z+I5s1+r9rw6/+jHXiQn00Pb/Cj/2mwoVrzajT 6vJFjY1/SiH7LJtle5/9VzDPFNg1boxZWRu98fCOrn7HtaVdVyfKFHLDb1qgzXfJX1b+/squ65mZ qjy9GdlZwTMOz//xgY/rM5WfszH+fb3+N3+sES+A6/r/c1r/YKk+aOsW6+p/149tbLgArlt2xG1X 42f1vkpbDsOCr2+//Kc2Tlv04+98TasKf1sf+vVSuxny5DurNtctwPk5u2Xe8cfCuf9H7zzyuHcL rX7ggfxj9Ib6+QF9ZMF7PqdyhVNt+Kln06l3Cz877629usCWQsjZpn++rvd98vdV/CnzG7d7zby8 gLh5ffh3PjvrDxReNnkNFxiTlsFjP1dn/XrFloL5U6Ves9nts7bMd8RiXO7Od+EnNn3OWzEmc1+9 efWX9YB9N2ria/rhS2/Pc18G3z+z2ntr99as7DiAAAIIIIAAAggggAACCCCAwHsssGrStve4zEUX 985PvqNVD86epba4DEL25Pj5flJuD/+xVq+yWZ8T77yta/Zwsofdz3Xfua7Xr76tRx96xzs/YWu1 fv2rf6Fw5f+lX4jkzHRddb9W2SK442+95T0nqvDBB1UwmbaVD2z+5uqw5WtrkAYPGZtd16Bek7a+ rj013t8svzUWwbUHKE1Orrb9+61eFqu4/pYKLBpoZ6ysq3q3wB7aY0sMuMm6k+/aQ6q8nguunbxq x4LZf9PqYOldfumrGrc49FpbN/bhAmuf97Ami+GvftDyW60r1hZZ3g+HLHj5ruU182n2qyydW2w2 W85ay9cCJrntWP2Ql5dfN5f3Q3rbGuKFvy3vwrX+UJu8bnUPDCfSzt8euGb1KlyTqdcaP28vhG59 NcsyaLMDsLWBr1ifrX7AXf+2tcuLwGfzn7OPZnVKgWc0bnVxW4EZ2BHbc2Vfs3MPBfuZcHKm7UGf 544HC9w+Gn5AL321ST98+Rf18zue0sPTXPKV5fLP019BOX69MnWxSzLbKvN364Fk+yhzIvd9xnjx +n+t3/+W7OEHLfrs9b/dD67e11fZOHxbE17/vWvj6JrGr9+v94UmzMXuL+c/4R6YZ/4h91Atq5fr 5nnznTkT19Jm/AL/wpD7K4iNH++esj7JN0Yz1851L1ou0zavH/Lf89PTu3vDbMaCe8M9zc6rl7t3 3/HHaGb8B/fH5Lu2pIdr/8zPLuPVheZ53Ruv3r324OrAa0afuLRum9dwchFjMrhfXT5zjYfc74hF uNyV70L7c5f7nvW+C22MFQb+rj/uL1yjglXu+z3n+2HafeYanrlPM9+1t3BvuezYEEAAAQQQQAAB BBBAAAEEEFiEwORbV7T2fZ9ZRMrFJ+ns7NQ9HMRdDISbiOyCdS7qYkErN8/ORUjTI/rG187pmv3k +boq9al/tVXrLGgza7MAj7fNDHjOSngzB1zd3L+g3FW2LudkEKS9mezc/F8v+jtXHlaOBXK9yPX0 6aM3VdL0i1zgy23TpqX6h7zXwPymDd31ru5ztcsKuKE+WqiuOdWea9f1kRtL1pYXv/rv7UFfv6Kf 27FZ75srbXZO53wu+fprzgxv4WDQ/y6HWf1g54KAtl+Aq5fdK7ZWs79l+s99zhwLTrnx6/rGbbPy 9Q9PvWbKcUfmMgny8v7mNMf5RfdzppwZ9/y89XPlunHh2jxHuVMNWOReMF4XnV/Qbpf7vHVcZNF5 k83jslS+C73vLucfeNySxXt5b+VF5yQCCCCAAAIIIIAAAggggMA9KHCngrj2f7MreZsZdLIggYvt 2DbhArgFG7Tut/6FBXC9FVL9E7mvtxRIyM1orv0ZQbH5gpRzXTrnMQsGB22bfdoFqGZazE51c0cW CnxNmd90/vmCazfURwvVdYEa5vTRfY+Ua9XV9dlQ7ewrFyorX3/Nzu3WjuTr/5njYma98vVfvnxn 1nhmOXOczzdGF93PM8vJV39Xhxtpw8w6z/XZlbdQ3+ded7vLz807d39+lyXxXZj97rodHjPHcK4D +wgggAACCCCAAAIIIIAAAggsTYEVPhN3vk7J+bm+t8TBjQRd5suT4ytKwP103ltWw36Kz4bAshXg u3DZdh0VRwABBBBAAAEEEEAAAQQQuCsCzMR9T9mveWuhvqdFUti9JfDu+PwTn++tltKae1qA78J7 untpHAIIIIAAAggggAACCCCAwLIRcAshsiGAAAIIIIAAAggggAACCCCAAAIIIIAAAggsUQGCuEu0 Y6gWAggggAACCCCAAAIIIIAAAggggAACCCDgBAjiMg4QQAABBBBAAAEEEEAAAQQQQAABBBBAAIEl LEAQdwl3DlVDAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQI4jIGEEAAAQQQQAABBBBAAAEEEEAAAQQQ QACBJSxAEHcJdw5VQwABBBBAAAEEEEAAAQQQQAABBBBAAAEECOIyBhBAAAEEEEAAAQQQQAABBBBA AAEEEEAAgSUsQBB3CXcOVUMAAQQQQAABBBBAAAEEEEAAAQQQQAABBAjiMgYQQAABBBBAAAEEEEAA AQQQQAABBBBAAIElLEAQdwl3DlVDAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQI4jIGEEAAAQQQQAAB BBBAAAEEEEAAAQQQQACBJSxAEHcJdw5VQwABBBBAAAEEEEAAAQQQQAABBBBAAAEECOIyBhBAAAEE EEAAAQQQQAABBBBAAAEEEEAAgSUsQBB3CXcOVUMAAQQQQAABBBBAAAEEEEAAAQQQQAABBAjiMgYQ QAABBBBAAAEEEEAAAQQQQAABBBBAAIElLLC0g7ir12ry3etLmI+qIYAAAggggAACCCCAAAIIIIAA AggggAAC8uOYFs+8E9uSDuKuLnhYeuftO9Fu8kQAAQQQQAABBBBAAAEEEEAAAQQQQAABBG6fwPV3 tOo+i2fegW1JB3FXhYqkd9/V5NtpZuTegc4nSwQQQAABBBBAAAEEEEAAAQQQQAABBBC4NQG3koCL X+r6u1p9v8Uz78B2Z+b33qaKrlp9n9aEP6p3r6U0OXHFArnv3KacyQYBBBBAAAEEEEAAAQQQQAAB BBBAAAEEELgNAraEgpuBu/rBIrl45p3YlnQQ1zXYC+Q++JjtuX9sCCCAAAIIIIAAAggggAACCCCA AAIIIIDAyhJY0ssprKyuoLUIIIAAAggggAACCCCAAAIIIIAAAggggMBsAYK4s004ggACCCCAAAII IIAAAggggAACCCCAAAIILBkBgrhLpiuoCAIIIIAAAggggAACCCCAAAIIIIAAAgggMFuAIO5sE44g gAACCCCAAAIIIIAAAggggAACCCCAAAJLRoAg7pLpCiqCAAIIIIAAAggggAACCCCAAAIIIIAAAgjM FiCIO9uEIwgggAACCCCAAAIIIIAAAggggAACCCCAwJIRIIi7ZLqCiiCAAAIIIIAAAggggAACCCCA AAIIIIAAArMFCOLONuEIAggggAACCCCAAAIIIIAAAggggAACCCCwZAQI4i6ZrqAiCCCAAAIIIIAA AggggAACCCCAAAIIIIDAbAGCuLNNOIIAAggggAACCCCAAAIIIIAAAggggAACCCwZAYK4S6YrqAgC CCCAAAIIIIAAAggggAACCCCAAAIIIDBbgCDubBOOIIAAAggggAACCCCAAAIIIIAAAggggAACS0aA IO6S6QoqggACCCCAAAIIIIAAAggggAACCCCAAAIIzBYgiDvbhCMIIIAAAggggAACCCCAAAIIIIAA AggggMCSESCIu2S6googgAACCCCAAAIIIIAAAggggAACCCCAAAKzBQjizjbhCAIIIIAAAggggAAC CCCAAAIIIIAAAgggsGQECOIuma6gIggggAACCCCAAAIIIIAAAggggAACCCCAwGwBgrizTTiCAAII IIAAAggggAACCCCAAAIIIIAAAggsGQGCuEumK6gIAggggAACCCCAAAIIIIAAAggggAACCCAwW4Ag 7mwTjiCAAAIIIIAAAggggAACCCCAAAIIIIAAAktGgCDukukKKoIAAggggAACCCCAAAIIIIAAAggg gAACCMwWIIg724QjCCCAAAIIIIAAAggggAACCCCAAAIIIIDAkhEgiLtkuoKKIIAAAggggAACCCCA AAIIIIAAAggggAACswUI4s424QgCCCCAAAIIIIAAAggggAACCCCAAAIIILBkBAjiLpmuoCIIIIAA AggggAACCCCAAAIIIIAAAggggMBsAYK4s004ggACCCCAAAIIIIAAAggggAACCCCAAAIILBmBtUum JnNUJDk8pMsTUsEc5ybs+PrScilpacb9/eLwHAk5tCwFxpIJXbqcUlHJBkXWhZZZG8Y0PHRJ4xOF Ko2WaeawXN5tW2ZdQXURQAABBBBAAAEEEEAAAQQQQACBe0BgCQdxx9S/Z6faUvMrFzWc0DMxP03D ibPaUT4zXDb/te/pmeSADuxuVWrTLj27r1rLLST5nloFhSX76lXfbp1fd0IX9pUrGe/U4SPdKt3V qn3VkbtRpcWXmU7owM56jahIJ873qnxGh89s2+IzJiUCCCCAAAIIIIAAAggggAACCCCAwEoUWMJB 3AIVV1WoIhFWODymeN+gvHhuUVRV0SKNjaUUWR9SOGLdZifC4bnm6y6RLp24rL6REauMTRnet0Tq tMSrUVx5UI3hyyosXe/VdCJxTnFnaIRLf7Oxa5UcUWTOWeQz27b020MNEUAAAQQQQAABBBBAAAEE EEAAAQTupsASDuKGVLnvOVV6OmmdTj2uw3EpuqtRR2ojgZkd/4q/mxjqV2vrcfUNWpSvpFR7W4+o OhL2r07G1d5i5y4l7HOhonW7tHdHtdb5l057Tfa36nAsodKqGkUSPToeG5SKKtRwZJ8io9061NZn cUT7mXzVLh20WbWZPJLx02o/3qF4wsovjKhu117tqC7TqB2vr2/xyxjp1J7dcT2976DVbUIDncf1 fPeAEiN2TZHlWVGrffu2Kaj2tHpNfUhrqDdmZcXkinJlVe3YpYbN0ewM3/RNtLfqmV0qSsS039rX 2HVetetTOt3ero6+uBc3jUTr1LB3h8pdg22maev+ViWKIqosl/qO9ylhhyMVu9TYWKtIMPM0PTqk WNtxxeKX7Kydj1ZpV0ODosV+grHhXrW2fUWDiYR/vrRKz+zbpU0G4JYciMcvaoPZD3Uf0s6WuJcm frxFu+MV2ndwh5WT3yLTl7lt+/3f/U394PW3FK1t1I5KF2qVhk+3qr0vobC18eCOTVlHa6j6Ww8r dmlMTzcetT6zegdtv2QB2saj+1Qw6I+X3DIaOzu8fOd7yW2bS5PPYb48OI4AAggggAACCCCAAAII IIAAAgggsHIElnAQd55OSKfnPBE73DR1fGRQTVtbVX7hkIqT/Xp8y/6pczZtt6+9SX3xCZ1/bnNO wM5PMpG6ZMHDuP0bnLomNajD9VunPlseg7EmNZWW6djmiFywcMv+2NT5VErtTdsVn+hSw0SPzcjM bCOKD47oiXSj+g89qf09/vFoRdSOxzXY06atQyGd766dVa9MDvGObbbMwFSOsrJih+stUPqsLhza ZGsE33p7x9Ivq/XxOuW0SKm+du20gO7J88+pzIKblwYHZTW2OmdqZhOie1q0dXBMZ3t3KDwW17an 3JICU1uqL6b6vj4dPdWrynBcO7Y3eeeLohUWILf8BmOKb71kSxAcU/jyOfVZecMb6hQ6l1uIldpn sVQL4i5kMVdfvn39kgYHf6DB5KBqK2sVVtL8YtYSW7lhx8FZ7qlLfTYWZH02YSlC9i/T9gmN2afw HONlLP22nZl/m8i27RltM6d8DjOXYpg/V84ggAACCCCAAAIIIIAAAggggAACCNyrAqvvlYYVVR3U 2QsXdObY3qBJl5WygG9v+37vc0ndUZ238xfOHFPUHRk8rL7EXAHhzLIMUR07c15nu5ptZVN/q2i0 9VkvnFVzjX8k3jNkIb2kjgcB3Lqjp+y8q0ODd8Hg4eMK1R7T+ZONfgYljV4dt5UVaGyixB7aFdXB k+d17LljOnW0LihFcuHC9NiYLRkx9c+LXVvA70gQwK1p7vLKOvVscF3PHvUmr9xCe6WKhmad7OrS 44kTfgC3pE6nzpvZhTNqKHHVG1R7f8LtZJcJiDYcC9ocuKfaPdf48SN+ALeoTl0uj/OngjxS2t/e qyvJ4WyAd9feIzrWba51NaqqWK+JlOsXvx/W2XvtsQvqaqzwyo3uPWnlHVPZxEIWU3m4CzNt2/O/ ft7LRzYr2ibYSom4/BBxhWo3rPPP5bxmRkPOoWzb/XNTKTJl1JY+mJt8jv1M26yfF3SY43IOIYAA AggggAACCCCAAAIIIIAAAgisKIHlNxN3nu6pqq20WZU2MzK6SRVq82ZWFlg4dDzlXzA+ENOegeek deM2g9TfLiUtihdxsytnb0W25EJ0nZ0Ll6nUTg/av8qo2wupzL332JHRCU2MXdZQcPlA7LD8IjIl xJUclWzp3uzmh+9C2nykU6UD/Tb7tF272/o0GA8qaikLLDTcveNJteVMYy2x4GVnNBEEPmu0qzpi KaVie1haQ5Etr2CXp8beVCjI5kbbKwswH7ElJsKW59BANhMd3jPglRMP6nLpYtIgirxjtm6FdtVG vf110Vo1lrSpxdIlUpelAf+Cqr11AXGxag80qL2+3dYvGNeq4jK72q0bK7Vsf1ItFiqvqntGtfs2 e8stJLxc539JJxeycKHwYMtpm61bYV4yrxH1DyVVlLJpvbYV1bnlGYL0N/OWW0Z6eNE5hBZwWHRG JEQAAQQQQAABBBBAAAEEEEAAAQQQuGcF7pmZuJFCPzyqGcstpC2I6rbUyKgKiottr1RVNTWqqbKZ nWPj3rm5XiKRwuCwm9Hpb2nvJ/W2nxMfLLDZsplcrAgVr7PztrZrjZVRZcskjI1PXZ9dQFej6qx9 XNv3NKmtPaZkQYXqqryprkFJFjt2+eRsLp5s8WN/KwpnZ4O6kG84Ehy3t5ttb3TbBi+AO5WT7Vmg s6DAmRX7ZjVVNot5zELMmW2dMuzuSEFQ54HhMQuW+2mK1gX94s5bvbNbOKrus11qbqxT1Gu6LXMR a1P91id1OjFVQjZ9ZidjkHnPY5G5ZHrbwqrcW+WdirW2qLVj0NvfVbshk3zO91Ao045MwdOTTS9j +rm8n27WIW+mnEQAAQQQQAABBBBAAAEEEEAAAQQQuJcE7pmZuGkvsjozwGYBThdMtOmeVc3P6Ui1 C0jaTNPeTvVdtGObIt7nOV/yxBGnpbeHe5XaARcKbLZlEfwiRtXb2aPLWm8P6bI6JYIrErY8gu2G 0imd8yaqFunZM73aZHUcHWhVrM876FJosy0hsDm4LPtms0+9LRXTueFdqi2zoGiyX8fj/uFQ6CE/ kHqL7Q1nApZVzXruSLWX+ehQr3r6rEU17sFfSb9Am9PcM5hUmXtA2NhF9QT1qC0vVqH5ui1mQdKG qFt7OK3BjuP+weJCTSZ6daClRwVP7LClFPZZ9NkelrZlq2Ipm+Q8kNB8a8GOek9zM6GCIMg+r0Um 6GpFzujLyKZamwXcpxFbO3nQq1GdKiIhv24zXieCz/3xhGojZRqz5Rf8a2YknFHGjLPzfkybw+E8 DputTDYEEEAAAQQQQAABBBBAAAEEEEAAgZUtcM8EcXO7MRN4c8HQil11Un1MfU1bNHyuRmX2kLI+ b+mCqGoatuVeNu/+VH5zJAlFtKOuyB50llLTlmqdq6uwh4D1yCui5KDqXBGZ2cG2XuxTG2Nq7mwN Mkrp+ec7NRa5rLaWmH/MBZ3n24or1VwhNVkUsWX7VsVr7IFoPX32mDXbSvaqKvKw0rehvZEn6lTU MmjtaNLG1DnVFdnD0+whY25rrK313jMvsf1blLBZx8mezAPcKrSptEjrdx2U+g57aw9vqR9URYEL +Ho1VcMuFwjus36whti/1GWr+/rL6vNP6wkXXPeLyxRjhH7geCRWr419Neo61biARUipGXlkMwtv 0K7A0R2L7q2xucZzb4VF/vHBlu2q76+w6lqdF7HlHTPTrh/P7zAtLR8QQAABBBBAAAEEEEAAAQQQ QAABBFaiwPJbTiE0dzdNHQ4FDyLzZ2Kui+5TV7MFJe2yEQuuegHcogo1dx1V2dRFU5kWhP397LlM fkUqCufM7nSpgoBrdJ8tC2DBW1t/wJYE8AO4RRUN6upwM1AtlByp1N6KIBpoaVKTJdp7sMbloLgt IdBkAdzCkuB8vF+JtHdqjpeQqu3haY01bv0BKysI4JZU7FVX5za5mt9wezOlZNvrMtmkrpPNiroq xfuCAG6R6uxharWRwCe4rqKqQoPZAG7UXI94a8uGIpt16lijt+5tyvLwA7glani2SzvKw2ZSm+2X QTM43BbzgtFVjcesDKvMjH6IVB5QVZbwss1oXtgi0zSvE7If3E5Im3bUBUesXZVl085OfQipsuFZ /0F4dtAFcEsqKqaNr2zaXD/L36/qjPGSSZzTtgUdMtfwjgACCCCAAAIIIIAAAggggAACCCCwYgVW Tdq2MlqfVnrMHkTm1pANT4u43b7m24zbsQmbg1lgZYQWUUaQviBsQc0brUW2rLCVNdfFt6e9aVvz 180qnVZHe3DX7se327ICFeq68JwiQV3C1o65tkwe855PWxkTBVZG6MYdXIELWuTUymb09vcP2Qzm NsXczGCbwXy22w+A56SatTtmDovu11lXL+5A+lYdFlcMqRBAAAEEEEAAAQQQQAABBBBAAAEElpFA Z2en7snlFObuAwsQ3myQcO4MZx+1wO2igreZK280feY6977gtbenvaF5Asz+4gZJjblZwwvUZb48 Ms0JhSyIPWcgOpNigfcFys+9Op3o0/6m9uyhugObvRnM2QPz7MwXgJ4n+U0dvmWHmyqVixBAAAEE EEAAAQQQQAABBBBAAAEElrrACgriLvWuWEb1CxVpX3OzLWkQ1vpbCb7ehSaHbF3ho83rlbY5v8Vl UZXPWB7iLlSJIhFAAAEEEEAAAQQQQAABBBBAAAEEEMgrsIKWU8jrwEkEEEAAAQQQQAABBBBAAAEE EEAAAQQQQGDJCbjlFJbfg82WHCMVQgABBBBAAAEEEEAAAQQQQAABBBBAAAEE7pwAQdw7Z0vOCCCA AAIIIIAAAggggAACCCCAAAIIIIDALQsQxL1lQjJAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQTunABB 3DtnS84IIIAAAggggAACCCCAAAIIIIAAAggggMAtCxDEvWVCMkAAAQQQQAABBBBAAAEEEEAAAQQQ QAABBO6cAEHcO2dLzggggAACCCCAAAIIIIAAAggggAACCCCAwC0LEMS9ZUIyQAABBBBAAAEEEEAA AQQQQAABBBBAAAEE7pwAQdw7Z0vOCCCAAAIIIIAAAggggAACCCCAAAIIIIDALQsQxL1lQjJAAAEE EEAAAQQQQAABBBBAAAEEEEAAAQTunMAKCeKOaTg+rLEbdkwr3t2q3qGpK9PJuFpbezW6UF5jScWH kkovlO4ePJ8cjms4OWV2O5o4lhzOn6d5Dw0nb7qoBfO/6ZwXuDCdVHdrh3KG2AIXcPqmBNz9eFPf AXlKW8SYSw4P6eZvBfe9Fb+F6/PUnVMIIIAAAggggAACCCCAAAIIILCsBFZGEDed0Pb67ToeRMoS va2qPdS7cIB1LK76lpgmwgXZTr0Yq1dsYELh7JG5d9KJmOp3btFFL4qbVu+hWh3qTcyd+J46mlb/ 9npt77u9bU327dH2Lafn7bN0sk87t+/U0E1GzRfK/0510ejFmFpig8oZYrelqEWP8dtS2tLPxI2P evsOSNzk+JirhQuPOXcv7NSW7uG5Ll/4mH1v7amvV1/i9v5BZOGCSYEAAggggAACCCCAAAIIIIAA AktNYO1Sq9AdqU8oopPHTigcCUKv4wMaGYwsWFSir1Uq2qvKSMhPmx7W8ZjUcKJSwZF58whF6nTs WI1Kg4QTQyMaLJ03+T11IlQilYQXCnPfWJND4ULri/nVQyFXXqGmwu23N/8by22xqdM6dySmooYT ygyxxV65YLpFjvEF87lXEnjjI6rw/EPohlu6mDEXdvfCzQ9KRaxWBTd7/Q23iAsQQAABBBBAAAEE EEAAAQQQQGCpCtw7M3HHhtVxoF4bN260f/Xq7O1Vq81i63VT79Ip9Vj0NTHmlkc4YLNrR6TUcW2r 9c+PDZ9WfXWQNttTSXVYuqrGyuys2+RgTHHVqKrcD1CODffqQG21X2btIZ3u7dbu+lZvtl96bEgd HXGN2Wy61vptandFPr9PtZZu7tmAYxrotBnC1a7+G1Vbf0i9w5kZeDaTt7Ve9Yda1Xqg1i+vulat p4emzUxNDHRbO/zrq+36/mAGXzrRq/raVvs5eb92ez4bVW31GEhOTUtMJwZ0qD6Td706+hO+hKu/ OXUPxNW5229rde0Byzuh/o4DQV2qdaBzIFuXgnXSSGeH1TXojxuoq1/oqLX3gKqDuh7o7NWwq47F cTPbcG/HlNWBTvV7CazgYJu3Pd75hfPP5JN5d7a7M31tY6Wjd2p2Zbx1t1p7hxS3Gd6u7zq9fhtT r/lk2nDI2tBt6abNxk4Oyg3Fxqpy+TNnTyve3xFcY6YdA0oM9+tApk/NfTF9NtcYd+1I9HfaOAjG a7XLv3/BJUbG3LjYHYyLjTabPOcaf1zVq7WjVfVBX9XutnE2OjWuZOOn+9Buf5xszC3TzU6v16HT cfV35pzvjGfHkax2A7acScaw3vo5Myn1Zrxkd29H683U1R8FC405jQ5NjXmz6ugdVCozgLz3+dvj To8O5X6fHFDvwPDCy7ZMy58PCCCAAAIIIIAAAggggAACCCBwrwrcI0HchA49uV3t9hP+uoPNOthQ pLamJsVsPclUesL6Lq2BeJ8ujY0rnS5Sqc2Oc1tZean3M/bkYLviqbguj7m0/jY21KceRfVMRXHm iPpbelTSuEPuSDrZqye3N6lvPKqDzc1qKBvU4aYWDcYv+YGxiZQGB7ut/AJFSsv9+GNqnTZtrlDh HLMB+w9t1Z62mBRtUPPBvVoX71HT9if9ILSVN34prnhPTLHhcjVbeXWl44od3qn9pxNe/UYHWrV1 T4sSpXU6aNdH7Pr9W7dqwFu8d1zxEVveoX6/DMiub1DhSI/27O7xA2ajA9qydY96EsXae7BRdZG4 2vdvVWvcXZzWpZG4WvbU6/lwndWtziK0fV7e+9vH1OjVRepr26Pu4ZzgneUfG15/E3W14N6Bp9QU 61OpV9e9SrU12WeLdgYx2kTvAW1vate4tbX5aLM2pdq0v8nsMtsC7Vko/0w2mfdkv287aOOhsfmg apxP03Yd6E1YkrQSlwYVa9qpeqtDUUmVisOT1oYn1dTeZ93pew9aG9yyCZdTU0ZDfS02TbNR3hAb v6SRnsOq3x9TnRtPVYXqa9+jrdv3K1XVmHVfuM9sHeY5xvhYvENb97dptMw3a4i6/PfrdPYPBZnW 5rwn+/WkGxeDNvvc7qu9NevUY9c8eSCzFIkbV3HF2mNav7fZq+O4/aGj/qn9wR8qkmp9fKtaei6p rvGg9tZFvDK3tsa9QsYvx9VzuF5WLf8eqrE6tdXbOPSNBlrtnrDlTErr9urg3jrF+9q0dWurH9i8 Ua+gWT2xm6vrgmNOCR14aqdiwXdQc+MmGyP7vT/eZP60kK897vvkqZ3u+6TUu6caN6XUtKdJNurZ EEAAAQQQQAABBBBAAAEEEEAAAWnyHtheO390MhqNTna9cCXbmhe6GrxjJ92xay9MPm3nvX1L8dKp XZPRqq7Ja5nU165MvvbalanPtnemIToZPXohk2Jy8pUzXn7ngyIuHK2yz7smvz2VyWTXLrvGjr1g x6691GX7T3v7LpNTT0cnn+56aSq/3L1Xznp5P30ip7wr357cZXWONpyx2lybPOXyrjo6+Ur2umtB eY2TL9nRoy5t45nsWavAZKMde/rkC0FdopMNXS9kz79yxvk0TL5kdT170NX74LS8vfY/bUZm59XD 8rak3vbCSfOztl3IcF/7do7vrdV18sr5ySqr966T387WdfLKBb8Orj5Wy4OurU+fnMwUP2l7J8w3 Y5+3PQvmP1Wsv5cp78Tka9lTV3Lsg/ZanU5lxt9rQRtyvK+94MaDa1emD/z+OXrBz/WlYLyech3i tsC9KmcMvnDy6ey4zdtGu3zmGPfyzzWb1mdeibNe/DKsn6caPvntoJ5nXrFR6Y3x6OTR8zmjMmhn 45lXJl85e9Brs+1mt5dONdoxd19k3Bqy94jVerLBGZ16ye43/55w+WS2ay+d8vJz9/GNet1aXTNj YP4x98oZv60nv50zKi+cmOrzvO0ZnTzb6I/fnMsnL5xw99nU91bGgXcEEEAAAQQQQAABBBBAAAEE EFhZAidPnpy8J9bETdlPvmXLHFSU+cscuOB8WUWNvdoUwrm2CW966tSZUFjrQlMfNXZRTXbpwX0b sgfjsSabJdusqFeEzb4csB9K2wzJ8ux1IVU8XWW/2Lbjs7a0vDm+6alZmLlJ0mP+NbtrolOHw+Vq sBnFO2Mp71pX5ZJnarxZwH6ikKp2Nail/rTGrozpkjtoMxV3j/VoYmLC1tFM+K3vvqjxTf4VldGI v2OvRWWV9tpps4bTSl12h3t0eLfVw7vW5Kz9lqEupX2DaLRMmaaGvJ1Ntu6tS+O2gswkWe/TrdQ1 FbX6WC57K0u9vLyX8AY9XWG0SfuUHpOrbtWuTdllLmR7lbuqbOajuzJ/e/5x5In8+XsF5rwE5dXs rsppY1hVDWa/0+wzXWozaquC8ZdOJfwyKsqyGYXKKmSjQ8PBkbF4t+lWqGtDZp6mGyFRla7PKPsJ qyqDaeP20Xd3x/O38VK6VuEZYzxS+5zOV9iYON2puHVurG/QL8DLbli7H9+ec7dEdfL8s0oN2cma fYpmqmgfy5+ok1psmTAvrgEAAEAASURBVAA3a92raolqosXZvEJlVWooatHp1JjGQpe9422Hd9vo mtBEQYFG/YGleGLc77+Sypz1gNeryprbbqiZe6Lv+GHZkLZhWWDrDfh1PmcDYVPoRrwy1bvJul76 0QJjzhZ+GHdtrdKmYKkVV2I4Wmk93C5/2LqxaXfUPO2pcgOj6mmVZu8paUNljWHEvet4QQABBBBA AAEEEEAAAQQQQACBlS1wTwRxQyEXZcqJftinTGztZro30X/cLmvIeaBZwnugWd2xTdlAppdvkQWW bsfmBcOKZj10Kewe5pW7TUXxvKMFRdPbXFJRoUgkc6xUFRXrNRGO6D4lvPRpb2kJr7BsrtkWlFSo NBLJHo9WPGGRs7CKgiOj0wLQoxYFrpombkembzdb11DCyydckFvPkEKZZgWlFK3L1Mw/UBDKtsQ/ ME97Hi1wwT8bLQvk72cy9RqZYT11xpgcx+bSqbERtD08o0pTH9Pqd0/IqzuWE8DMzdHfd6ZPFM5o eG6yedroZPxWTiVO9B7S1iaLhlqguK6hRs1PRNSUWYLCcGv22gP8gnqn04XZvi2K5PaDXR4uthxy t5wIr3e4QJlh619ZoorSSDa/0miFaq12ZeH7vOBmbk5u39W70O0ExVZsKlXEfXZbaVRP1FoVXLA8 4R2Z9rKgV04Y3r9w8XU9ZxfkG3N+dYvszxm5W4F3/yTdoQXa4/VXQTiTzMskZEFvNgQQQAABBBBA AAEEEEAAAQQQQMAJ3BNBXP/x7TENJRtUXOxHSy4PuoDVzWxJdR+Oq8rWPs2Ez0ZtPVE7ooP+NFwv 08Jie4v1KLFvUxBksoem9fTZwekhrmk1mBHYnDrngjUpe3hYUtFql7HbrB7uqVdWphfKsVjZSJ89 9Kk2kg30XOw+bukiKrB8XeAuEdmsffumyo93tipRXGnpE3Z2/q3QXRyPalf3jpw2d+p5WyM34Jz/ 4rnO3FJdXSjO5gXHE9pUHfH2rWXqc7TepFS/rbGOATVEq7MWQ32uv/2252vP+oKF8g+KzL6FPP/2 2IB2lFdnjw51x2zf7IMjhdMCbv7R3DakE4M2GzWo4WhcNsRsDdmpvspmPGtnwo6EZh3N10bXZ4lp V4wpftxKr2jW+ecCs/SQ2hSz2b2ursWq3rZt2hXuzyBujKfau5XYEQ3GuE2GtRnEVnVVZYPmcV1M pFVWFtRxLK7jNmwj9rHAq2RCm3fZbN6pm0mt7QlVWiWTM0qc9rHAC+UqUrlL+7IXJ9V5KKbiKhuw iWmpcz7M7eUnuMm6ri/07q98Y05eW+07KGHfQa7xbksOTfV53vY8qlGzVo99nxzKfJ+4y8952fCC AAIIIIAAAggggAACCCCAAAII3BMPNnOBHhffa9pyWL3xYcV77UFU9pPv+TZvUmmqU929A97T7t2D qzZu3GgP5rLFBYb7LbRVomcqXVTFbWM612oPNNv7jIW6MltIm3bttQ99qt9tP08fHlJv6x4dnr9I 78KRzg574vyQ9+CzgdZqK3O3hm3KcChSqUZrQF/TFrX2xpVIxNWxe4vVwyZr7nJBWLdggW3xFm1r 7VUimfTaWB9L2c/dn1FZKKJn9kaVitXrQOeAknZ+oPuQ6u1BaUNuSnKeackTlvumZ1xb2rX1QLeG 7drhgW5tr7cQn3exKzj7TDH/wwKvt1LXUGST9noW9ersH7K2DKtz91aTDiphba2ztmqwSYc7+80i oYHOA2ryErhE+duzYP6WQ+54sM5Rgyuvr0n1Zj+cGFZvx27t6UmpqG6X2bsyp2+uPzNt6OiPazje qz1bW/xEln64r9WmdTZaIHP6dYv/lL+NLp/pY9zrETPrUf9QQonhAR3astP+bGDN6r84z/CwMhr8 Mb61vtXGeMLGXIee2hOzujeoKjLV8Jbte+y+Syhp47Z1xx4v3zpbSqK4ss7C6inVbz2gAbs+6crd Xm9/+0i4KnozmL2dGS/j9jlUvMm7J2L1W9U5MOyNg+5DO9XWE7P7Z6rsGZcu+PGm6rrgmLOg9aY6 /zto62H1e23t14EttgRLsOVvz8PTvk+GEu4e7NSWqUGdyYZ3BBBAAAEEEEAAAQQQQAABBBBYoQL3 xkxcWz+2+9QxHdpdr6Z6F80rsp+M1ynWbgGnYFuX2bH3SKXNDGzbo7amPZo4cVaVtoapt9nswv7W NguMPjsVnEsOqMVmFh6tKvPTBK/h8m06dSyk3fUtqh+0g0UVaqizFTBjyZyfsmdKtfVy9zVIe9rt ifNDOnG+U5cvuRBaZgurtrNLY/vrbV1XC3J5h60NzceCWYiZKGyJ1lkwcWvQrBJbk/c5m7nntrJt R9V82YKZ1i5bGtfbqvY+q8ZNFilM+rMa/aO5r8XezNtw2TZ1NV+2n9u3aLvjs62oaq+6Gi3vUFLr 7fNl72jmxdo1I8tMSzMpZD/1L76ZuloG2zq6dHn/VrXtt6Cdy7CkSnUVcRmtt5V7bd1vbd0ftLVE dWYfi0145/O2x1IslP9EznhwGTrboxMt2t/epO2BfUVds454s54zfeMVHbyEta37lEIHdqvF9akd rairU0UspmT6NbW3jdgQe2JaKLKgcE7l3Extf8p9oTbOHOO1R5rVub1JTTu3enlG6xpUM9CunvYD uljXq2hoRlH20Svj6ITq97erPmh4UbROzx71Z2xnWm5dbfedn6+bLt147LkgQF2uo13N2r+1SXum BpaePWWzVS3/onJ7GZpdbmnYVcbuCRsHCfNr27PdHwd2Xzc826VKY0jeoFemlIqqm6tr8QJjTvYd 1BG0dX/Q1pIq6/N4LPg+yN8ercvcg23audW/gavqahS32f5FM9flyDSGdwQQQAABBBBAAAEEEEAA AQQQWDECq9yz3JZ7a9PJuLr7R1VZW539+f/oQKvNGuzTsbMWoAovvoXpsTF7AFM4Z33atMbsIU7h 8PRMkja7sj+5TrWbo9lg3EDrRu2JNejshallCRZfsp8y7U2htP1QKJuvm0rbXfu4Ord12XvEZlmO WQJbP3OOwJubgjnmPZxsnvN5K+QeKGWBUFsaIDRn5nkvnvPkrdTVXeseaBX2gnpzZO+11apr5+ei cG752rNg/jOLtPL8wKWVN3eB/hXppHpj/VpXVatoZj2K0QFtfGqPLYN7VrtKXZ2nr386s6jFf87f xtn5WPp0pv5ubNtIms83e7G7xv+QOy7SiW49vrVPXRdsbd+gL+bLKzOuc6/PZr/AjrvWhefDedEX yCT39K3UNbh2/jFno86h5rmH8rfH/74psO+g29Xc3KazjwACCCCAAAIIIIAAAggggAACy0+gs7Pz 3lgTN1Qwpra2JrU9f87WGa1VKNWv/YdjtgBp47SnvS+mi0KzgmuhOYNcBelBtR3u0fODDTpYW66U PQzNL7LCm926mLLmSjNvkGtcGnfBIdtCoekB5Wn5WOTn5oNdFtxbMKA3rbQFP9xKXd21eQNZXlvz VSF/exbMf2bWVl6+2G02uSW62G7LUbQ/rwZbW7k8nNLxPYftdFQ1G3L/QJC94hZ28rdxdsaWPtsI N7Znp5h9JPea3LMuspvQmHtboC/mHde52c2z767NVnmeNDd0+FbqusC1rh7uOyTflr89c3/f5MuP cwgggAACCCCAAAIIIIAAAgggcO8L3BMzcV03jSUGdPz48/YArLitwlmkKlvPc29dtdbd1ujP9AGR GDit4893qC9u6y0UldjaqYdUV11+ewNOXpFpW+bhsFK2fEJtef4A0fQa8umuCYwldPr4cXXYE9lG Um5FiAYd2lun8js5IN/jxqaTvbbExISOHNl8S3+4eI+rTXEIIIAAAggggAACCCCAAAIIIIDAshJw M3HvmSDuspKnsggggAACCCCAAAIIIIAAAggggAACCCCAwCIEXBB39SLSkQQBBBBAAAEEEEAAAQQQ QAABBBBAAAEEEEDgLgkQxL1L8BSLAAIIIIAAAggggAACCCCAAAIIIIAAAggsRoAg7mKUSIMAAggg gAACCCCAAAIIIIAAAggggAACCNwlAYK4dwmeYhFAAAEEEEAAAQQQQAABBBBAAAEEEEAAgcUIEMRd jBJpEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBuyRAEPcuwVMsAggggAACCCCAAAIIIIAAAggggAAC CCCwGAGCuItRIg0CCCCAAAIIIIAAAggggAACCCCAAAIIIHCXBAji3iV4ikUAAQQQQAABBBBAAAEE EEAAAQQQQAABBBYjQBB3MUqkQQABBBBAAAEEEEAAAQQQQAABBBBAAAEE7pIAQdy7BE+xCCCAAAII IIAAAggggAACCCCAAAIIIIDAYgQI4i5GiTQIIIAAAggggAACCCCAAAIIIIAAAggggMBdElh7l8pd VLHJ4SFdnpAK5kg9YcfXl5ZLSUsz7u8Xh+dIyKH3XMDrN+uTkg3lWhfKX/yNpM2f0zxnx5IaunRZ KipReWTdPIk4jAACCCCAAAIIIIAAAggggAACCCCAwNIVWMJB3DH179mpttT8eEUNJ/RMzE/TcOKs dpQv0ShuckAHdrcqtWmXnt1XrQXimvM3eFmcGVPf9p1qt7rWWZ/sy9snN5L25hqfTvZpZ72rTYPO XtihJTpCbq5xXIUAAggggAACCCCAAAIIIIAAAgggsCIElnAQt0DFVRWqSIQVDo8p3jcoL55bFFVV tEhjYylF1ocUjlg/2YlweK75ukukDycuq29kxCpj01P3LZE63bFqhFX5bLPCNoW6dP1CfXIjaW+u wiEbLwcbG6XC0jlndN9crlyFAAIIIIAAAggggAACCCCAAAIIIIDAeyewhIO4IVXue06VnkVap1OP 63Bciu5q1JHaSCBkx7/i7yaG+tXaelx9gxYoLSnV3tYjqo748y7TybjaW+zcpYQlLlS0bpf27qjW uiCX3Ldkf6sOxxIqrapRJNGj47FB+yl+hRqO7FNktFuH2vosFFto53fpoM2qzeSRjJ9W+/EOxRNW fmFEdbv2akd1mUbteH19i1/ESKf27I7r6X0HrW4TGug8rue7B5QYsWuKLM+KWu3bt01BtXOrlbOf 1lBvzMqKyRXlyqrasUsNm6PZGb43096qZ3apKBHTfmtfY9d51a5P6XR7uzr64i70rEi0Tg17d6h8 nRTvPqSO/suK1DRqX3XEq1u8044NumP7VJG6qPhFx1blnRvu7VDb8dNWX6/C1s5t2tdYq0gorWRi elopf/sy/VNRU6OC+Ff0/GDCyihU1d7WbF28QrMvE7o0ZAMnsl5ebcaG1dHSrtPxS3Jh9ZJIqbY9 s0+1myLZK9hBAAEEEEAAAQQQQAABBBBAAAEEEEBgKQmsmrRtKVVo7rpYsLY+COLuPalj28qCZFPH Z19Xo1MXDqk42a+NW/bPPl1xUOef25wNfGYSJLrrtbXFgn6L2KIHu3Rsc0QusLhlf2zWFRV2vmGi Rdtn5Lf35FkVx57U/h7/kmhFVPHBoMySRp3vrp1Vr0zm8Y5a1be78OOMreZZXTi0ydYIvvX2NpyM KbW9TnO0SCfPP6dQ/wFtbeqzCtTpzIV9FshO6MDGrXJHGru+JrX8hlyTXTs3j3frSW85AwvAV1Ro dHDQC57K2nm2u0Z91q+ZtNvKwlqoffn6p/nUeVUXh6bBpIe79fj2FovWuvKq1F39pNpTlsRm6FZE RjUY9y1dXV35bAgggAACCCCAAAIIIIAAAggggAACCCwlgc7OTq1eShW6lboUVR20NU8v6MyxvUE2 l5VKp9Xb7gdwS+qO6rydv3DmmKIuxeBh9SXScxSZWQIgqmNnzutsV7OKglQVjSd04cJZNdf4R+I9 QzZvNKnjQQC37ugpO+/q0OBdMXj4uEK1x3T+pP2c320ukGjnt5UVaGyixJ61ZT/1P3lex547plNH 6/w09mrPbFN6bMyWjJj6Z02RxuI6EgRwa5q7vLJOPRtc17NHvckrt9BeqaKhWSe7uvR44oQfwC2p 06nzZnbhjBpKXPUG1d6fUGRTbWAS08VRO5yIewFcF9StiISmLVuQHB50F9oWtdnMz6n77AnVVVWp qtyaY0cz2l6SBdvnEIIrimp08qzfnxXexbaqxpiTm7HlxHQL0gmb0e2fjz7ToOeOdetkc52qLLis cVcbNgQQQAABBBBAAAEEEEAAAQQQQAABBJaewBJeTuHGsKpqK+XmUYajm1ShNgs3unDfhMaDoN34 QEx7Bp6T1o0rHmR9KWmBOws6zrUV2ZIL0XV2LlymUkvg8quMur2Qytx7jx0ZndDE2GUNBRkMxA7L LyJTQlxJC3La0r3ZzQ9BhrT5SKdKB/ptBm67dtsSBoPxoKKWssBCw907nlRbzoTbEpuB3BlN+LNY VaNd1RFLKRXbw9Iaimx5Bbs8NfamQkE2N9peF2A+YktMhC3PoYFsJjq8Z8ArJ5iwqksXk1J1uXZF bcJtXOq/mND6lJuDazHqukoV27sdzm7FZS7E6o7EtfPJjd4M2Lq6p7WrttrSpqelTScXat9UkLak arO8ibPhDbZGsvVPbqHZ0mfshNZrc5E8q3jbTm1ss9ByVZ2e3rFP1VFXczYEEEAAAQQQQAABBBBA AAEEEEAAAQSWnsA9E8SNFPrhUXlTVqeg026mqG2pkVFbi7VYExYHrLKZtAUTKZsKOm5n1nnnZ75E IoXBITf709/SaRdEtIjsVCxRBTZb1uXiNitCFZbdRHGVaooshJyasCKmrp8qalSdtU9lg7QlFTU2 O3VIsb6pqG3YVWvqo1w82RXtbUXhzHxU+1igcMTerDluu9n2Rrdt8AK4fi7Ba2pEBaUVgVm5lWRB a5s/m7aUFU/XWFy2Rz3PtejyuB9B3Va7Ydrl7kM4usNmM5err7tbnbE+jaTiirW7fz3qOn90evpF tC9zwbps/2SOLOZ9nXb0nlV5b5+6v9KpPotMx/ti3r8eW/riuc2RxWRCGgQQQAABBBBAAAEEEEAA AQQQQAABBN5TgXsmiJv2IquZKGDG0AKcQTC0qvk5Han2Z1sO9VoA76IFc/M9zCon9prJbc73okh2 pm6zLYvgFzGq3s4eXdZ6bXIzfRPBlQlbHsF2Q+mUznkB2iI9e6ZXm6yOowOtOUFcm6l77II2zyzQ Zqp6Wyqmc8O7VOumoib7ddyPoSoUekgFt6G94VAQEK9q1nNHqr0iR4d61dNnLarZ5MWSizdttiUV eiw4Hg9m09Z4Sym4B5PlboneVrX2JFSx46C69x1ROtGrLVubLOY8qIGECwdPbaGCQv/DvO0L6uVS TS9mKpN8e7acQuv+VqWKKrXXllKw2qj30BY19VhteuJKWxDXeosNAQQQQAABBBBAAAEEEEAAAQQQ QACBJSVwzwRxc1WnJsqGVLGrTqqPqa9pi4bP1agsNWgzMFOWPKqahm25l827P5XfHElCEe2oK9Jg LKWmLdU6V1ehVF+PvCJKDqrOFZGZHZxq11MbY2rubA0ySun55zs1FrmstpaYf8wFYefbiivVXCE1 DdpSBtu3Kl5jD0Tr6fMn4ZbsVVXkYaVvQ3sjT9SpqGXQ2tGkjalzqitKWYDZjxQ31tb6tbNlDHZF /SUV3IGSus3eUgpuf5rX+CUN2loHg4PbdbmxQesTFvh1icw/agFui6VPbQu2LySbyDtrm1berLPT D1yyB6tZbax/EmqoWm+rYvi1KamKEsCdTsUnBBBAAAEEEEAAAQQQQAABBBBAAIElIrD8Hmw2z1TJ qcOh4KFb/qzNddF96mq2oKSBj1hw1QvgFlWoueuoyqYumuqOgrC/nz2Xya9IReGcmaAuVRBwje7r UrMFb92aBn0xP4BbVNGgro7NXmAwFLGZnxWuBm5LKTVZor0Ha7xP8VibmiyAW1gSnI/3yyaozrOF VG0PT2uscU8Zs7KCAG5JxV51dW7zZrXecHszJWXbawfWbVLXyWZFXZXifUEAt0h19jC12kjgYy2r qLMAebDtyFlKIbOyhcsyUns0axNrOay2mIvClqjx2EHPPzetWy9iofZlyvNggw/T88immL7j+soC 7kftQXWuXanBmA4fbvOC7SVVjXquJjI9PZ8QQAABBBBAAAEEEEAAAQQQQAABBBBYIgKrJm1bInW5 w9VIKz3m1nS1JRbCuRHL21iszbgdc4vuFlgZoUWUEaQvCIdzY5KLq1C2rLCVNdclt6e9aVvz1810 vak6TqtWUJ8btLGC52nftMxv+EPa/Casrwos/8V01Q0XwAUIIIAAAggggAACCCCAAAIIIIAAAgjc BoHOzk6toCDubRAjCwQQQAABBBBAAAEEEEAAAQQQQAABBBBA4D0UcEHc5becwnsIRFEIIIAAAggg gAACCCCAAAIIIIAAAggggMDdFiCIe7d7gPIRQAABBBBAAAEEEEAAAQQQQAABBBBAAIE8AgRx8+Bw CgEEEEAAAQQQQAABBBBAAAEEEEAAAQQQuNsCBHHvdg9QPgIIIIAAAggggAACCCCAAAIIIIAAAggg kEeAIG4eHE4hgAACCCCAAAIIIIAAAggggAACCCCAAAJ3W4Ag7t3uAcpHAAEEEEAAAQQQQAABBBBA AAEEEEAAAQTyCBDEzYPDKQQQQAABBBBAAAEEEEAAAQQQQAABBBBA4G4LEMS92z1A+QgggAACCCCA AAIIIIAAAggggAACCCCAQB4Bgrh5cDiFAAIIIIAAAggggAACCCCAAAIIIIAAAgjcbQGCuHe7Bygf AQQQQAABBBBAAAEEEEAAAQQQQAABBBDII0AQNw8OpxBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgbst QBD3bvcA5SOAAAIIIIAAAggggAACCCCAAAIIIIAAAnkECOLmwZnrVDrRq9rqQ0qk5zrLMQQQQAAB BBBAAAEEEEAAAQQQQAABBBBA4PYKEMS9Qc+QxjWSGlI6dIMXkhwBBBBAAAEEEEAAAQQQQAABBBBA AAEEELgJgXsiiOtmx9bXtmog3qvdGzdqo/2rPdCp4eSwOnfXep+rq+vVOZDMEo3ZNQfq/XMbN1ar /kCHEmPB6dEhdRyo967zzh3q9Gbejsa7VVvfYolGdKC2Vq29Ce+CdGJAhzJ5WTkd/f5xdzLeutvS DSne2+rl1zmcKcS7lBcEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCCvwD0RxJXNjo2PxLSnvknhhoM6 2FClkb42bd+yXW0Tm9Tc3KhSxdW257CG3TIIY3Ht2NqkvtEyHWxutvRRxfvate/0sJ0cVetTO9Xe J+3NnOtp09b9vRq3a8tKSzzQdWXlioQLLPmAtmzdo55EsfYebFRdJK72/VvVGh+1dGklLg0q1rRT 9U0xFZVUqdhdw4YAAggggAACCCCAAAIIIIAAAggggAACCCxSYO0i0y2LZFXNXTpSHbG6VmnidJ9a xht09tgOhe1IZSStx7d3e+1IpxI2lzaqYx1HFHUnVamxWJ+8s+nLGrAjRXV1tvZtpUKqVnR9kdov h7V+U7WOFEt9WzvVeOSQIpau/9AWpVSjU72HZKekzTXasPtxNR05p4buGmVCtgdPntXmMq8wl4oN AQQQQAABBBBAAAEEEEAAAQQQQAABBBBYlMA9FcSNlq2f3uiqci+A6x0MTS1iG4rU6sL5CsUHe23G 7DkNWAB3xBJFXcJQqXZVSU2x/Xo8JlVU1anGlk44aMFhl4ObyOu2tNsJpZW67D716PDulDQxoQKL 2g4OumN9upSucTtSSaOqCOD6FrwigAACCCCAAAIIIIAAAggggAACCCCAwA0J3FNB3HR6whrvQq3+ VrK+MLM77d2tofu4Lafgtqq6Bu06+oS+sr/JFlJwm829PXJB5c/ENdhzWp2xmJr6Ym5qrs223aci L82Ml5IKlUYi2YPRiicsoBv20l6yTIs2l+bUKpuMHQQQQAABBBBAAAEEEEAAAQQQQAABBBBAYEGB eyqIu2BrgwSX41+xvSp1nT+iiBfztRm1Fp3tdrN10wl17O9Q+cFDqt0XtX+HlLClErY2DSiVngri Zib2FrqobjyqXd3+sg2uiNF4p563NXKLg3hyoZuey4YAAggggAACCCCAAAIIIIAAAggggAACCNyE wL3xYLPMGgeLBPCWQrDlDvoHh5RMDqvb1rVts9UQRvoGlLS8Bgd7VL/9kAaGE0omhhQ/NziVs3fx iDo6ezWUmNCmZ/bauXZtPdCt4WRSwwPd2l7fptjQDVZqqgT2EEAAAQQQQAABBBBAAAEEEEAAAQQQ QACBrMC9MRM3PPeyCdlWZnfWeXtlm/eq5vntat+/08KvtkXr1FAzoPYeC76ObFbziWY17WzSnu09 wZUl2vvscyp3M2sjlWqIPq/2tiYNTpxQ745t6mq+bDN1W7S9z09eVLVXXY2b7AOB3ACQNwQQQAAB BBBAAAEEEEAAAQQQQAABBBC4SYFVk7bd5LX3xGVpm1kbCtZGSI/ZfjhYA8Fa5865LXPe+zDvS1rp MVuT15ZOWFz6eTPiBAIIIIAAAggggAACCCCAAAIIIIAAAggg4Al0dnbq3piJewsdmhtwzQ3guixz zy1cRGhaAHjh9KRAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQWFrg31sRduJ2kQAABBBBAAAEEEEAA AQQQQAABBBBAAAEElqUAQdxl2W1UGgEEEEAAAQQQQAABBBBAAAEEEEAAAQRWigBB3JXS07QTAQQQ QAABBBBAAAEEEEAAAQQQQAABBJalAEHcZdltVBoBBBBAAAEEEEAAAQQQQAABBBBAAAEEVooAQdyV 0tO0EwEEEEAAAQQQQAABBBBAAAEEEEAAAQSWpQBB3GXZbVQaAQQQQAABBBBAAAEEEEAAAQQQQAAB BFaKAEHcldLTtBMBBBBAAAEEEEAAAQQQQAABBBBAAAEElqUAQdxl2W1UGgEEEEAAAQQQQAABBBBA AAEEEEAAAQRWigBB3JXS07QTAQQQQAABBBBAAAEEEEAAAQQQQAABBJalAEHcZdltVBoBBBBAAAEE EEAAAQQQQAABBBBAAAEEVooAQdyV0tO0EwEEEEAAAQQQQAABBBBAAAEEEEAAAQSWpQBB3GXZbVQa AQQQQAABBBBAAAEEEEAAAQQQQAABBFaKAEHcldLTtBMBBBBAAAEEEEAAAQQQQAABBBBAAAEElqUA Qdxl2W1UGgEEEEAAAQQQQAABBBBAAAEEEEAAAQRWigBB3JXS07QTAQQQQAABBBBAAAEEEEAAAQQQ QAABBJalAEHcZdltVBoBBBBAAAEEEEAAAQQQQAABBBBAAAEEVooAQdyV0tO0EwEEEEAAAQQQQAAB BBBAAAEEEEAAAQSWpQBB3GXZbVQaAQQQQAABBBBAAAEEEEAAAQQQQAABBFaKAEHcldLTtBMBBBBA AAEEEEAAAQQQQAABBBBAAAEElqUAQdxl2W1UGgEEEEAAAQQQQAABBBBAAAEEEEAAAQRWigBB3JXS 07QTAQQQQAABBBBAAAEEEEAAAQQQQAABBJalAEHcZdltVBoBBBBAAAEEEEAAAQQQQAABBBBAAAEE VooAQdyV0tO0EwEEEEAAAQQQQAABBBBAAAEEEEAAAQSWpQBB3GXZbVQaAQQQQAABBBBAAAEEEEAA AQQQQAABBFaKAEHcldLTtBMBBBBAAAEEEEAAAQQQQAABBBBAAAEElqUAQdxl2W1UGgEEEEAAAQQQ QAABBBBAAAEEEEAAAQRWigBB3JXS07QTAQQQQAABBBBAAAEEEEAAAQQQQAABBJalAEHcZdltVBoB BBBAAAEEEEAAAQQQQAABBBBAAAEEVooAQdyV0tO0EwEEEEAAAQQQQAABBBBAAAEEEEAAAQSWpQBB 3GXZbVQaAQQQQAABBBBAAAEEEEAAAQQQQAABBFaKwNIN4r7zhl74+xf1wotvzNEX4/65l8d17cUR ffPS63OkuYOH3nhV3/z7EV175w6WcQ9l7ffR6F1u0dtKDCWU+NFbi67HT7/7os70Dtv4mmsMLjqb O5PQjcFvvKprdyZ3ckUAAQQQQAABBBBAAAEEEEAAAQQQWEICSzeIq6v60td+ok//xQ9mB6pefkWf tnOfv/ATvXB+VL/0l6/MTnM7ka/9UF/4o3/Qf7o07uV67WUr82uj+vPvLsHg3oy63k6Gm80r8beu j+52wPEtnfmrlD7a9+NFNePad7+j9536if7pN8e1w8bZ3d6uXRpW5R99Sy/4Q9D+ePGafqnvlezn u10/ykcAAQQQQAABBBBAAAEEEEAAAQQQuHMCa+9c1reY89rH9PmPJvUnL6X1t6+8rcoP3ZfN8IUL V739Q7/6mD51/V19440HdX/27B3YWTupM5rUY9eDmPda//3+tVN1ugOl3lyWM+t6c7nc3qvuX2X5 3e2/Fzyo3/udIlU+9L5Fte3V705YujV6ad8vKrIE7pL7dV3n7F9moN//scf0jd94S5+6owN/UVQk QgABBBBAAAEEEEAAAQQQQAABBBC4wwJLIDw1fws/tfEh6aVxdXzzRxbE/XCQ8HX1f8+CWaEH9GsW 2H31v13RF390XV8qf78X37p26fs69FdX9EfpSUu/Sv9h4/v1+d/8iBL9Q/q9C9J/aihXxAJf1178 nnb8xZh+7zci+oNfedTSjuvMiUvqWBtWx+c+mYmVST96UX/4Zz+xAJr00//8gs78zUP60j/xq3Lm wov6Zm/aypJ+Yc1affHpj6vyY4X+yfEf6s9jo6p73epq2//2kYf1hW05+fqprCI2y7f9x4ps/Bld u/gT7XzT5bVGX/zdddI3RvXkD4LrP/qIvvD7nwjq9Yb6v/Ky/vB7E/qW5fMvHg7p0LYN+tS12XXt +F/KdP+PRvSlr6T0pSuTXvonQmt06Hc+qsrSRzK1mP3+htX/P47qC1b/bBlPl+lTH8wEruepQ54s /ULe1gv/bViHvpHWl/2mZW0SX/mWPp9cY320QT8T1Ojad4f11Kk3deh//pTZvj13u63MV/sv6g9f uk+HflE61GfTVT+6Tn/++yU57UrrhQs/1QuffkifKg7M/4mZ2yxbZ+7GyoknirXj1wp15v++pH/3 uhs/0r/74j/oD363VL/36evq/48v69BLE95YeCK0Vv/OxtVT5TZ23nlNX2p/RZHfLLL8XtM///Fq ffOfPqCWvgl9/okCdXxtXM9bXk9YP32pOqy/tRnBO9+c1C9YmX/4q1Zm5WNeWT+1th7qfVN/4o3d qX597NJ39Htf8/9w8Xmrz1Of/oD+8NNv6ot/97a+8EuSd3We/nKzeHecmtAfPnG/zW6/4tVl1nj1 asALAggggAACCCCAAAIIIIAAAggggMBSFLjb0yPzm3zs/foPluL5716ZWi7h5ZT+jR37t5mg7Rtv 6/kfBOucvvJ9/dpfvmFB1dU68UkLooUm9W8u/FhftJ/zP/bIKn3r+oT+1tbRddur33tTX7bZtV+4 GKynO55Sx49ttu0HwlMBXEt37c139dhDayzgZpvNwP21R9a4PW97PpnWq0UP6b9sCOlnrr+jJy2w 6q9R+pr+//buN8Sq+8wD+GNHnWucxsk/Y+1qR7e2M8VsppBSSwvGXWhMXwRTKJqFUgNbUCikZV/E vvNdE1iIQotCX8RQaMwGogTWuIE2Ci1VNttMiK1aQ5xodHUa/4wZ4zUZ4z7n3js6jjMZe8KhtnwO ZObOved3nt/5nJM3X5/7Oxt+drIR4D61aGY8PXtKbDx6Lpb84q2RoaN+X4q+S5fjkb1nYkNbe2xb ND3i0qVY9uLJDHAjnu3tiKcyy954eDC2vlHMPYPMp9+MZRng9s5tj2cXTI/nzl2Mns1vxIlx53o6 Nm95N9aei1i9qCNeKo5/MY+/bZxlKkZmNXwintjcnP/982ZkjanNGlv+EP2NE5x4DmdHjjHB77P/ czB6Xk23me3x0n0dsenWps3WNwZjztxPxe7zF2Pn/uY1Kg7Rt2coQ9Np0b1w2oTnXdQ8e/qDeG5g KHoywH0uw9H772i/bgYnTmXY/1Zxr7TMd2eAG9NzHjPj8bbL8eju43Gg3pG1pjeC6yLY7Zo1LTrb h2PXz9M8A9zIIHbbovaYc3E4HtxxOJfYyOPV349dafrgjoEMcC/HyplTo3b5UobUH8SyDHA7582M Z+e1xe7iOj3/bjw6PC229c6I3rz/Ht2bNYvTzX8sWPHiUGwc/lTjmhf7F9d1zX+/HWczZO6dWXQz Z2Cb92JXHj8u5n1//oM4UVyPya5X3k/FXL6WAW7MHe9+bRzaDwIECBAgQIAAAQIECBAgQIAAgZtU 4KbuxI24PZYvOhJx6MKVJRUOvFq0TU6JVdlhe3UrsugMFncMZvg2NQ4/fm90NT7Mr5v/dH88/JuB WPODWfG9XA91e3a7rvpCez4wrdkG+vrAhShCwNrh9zL8i/hdb6OvsTG6+FFb+PlYt/ad6HvyZKx4 4AuxqueWKNZLLbbvLboztny72e3ZHX2xYN8HjZCz87fH40f5+Uvf+adYnuFjsd3/Qn5+KDtBM7Dr bjXrNj4Y+XFrR+xZm12z+Xf3f/4+eg7nXFb3xpK7842l/bF946l8kXM+0h/LclnXx3o/GxseaM51 xZ8OxIxt52Pn+fk519o1c42ht2NPjtz0z/8Ya77SbJPtahx/4vz+xO6T8eNizNLPxZold+ariBWv /TFmvHwhNvzqndhwz4UJ57A9w9jV90zcjnviaD4NLsPqnWsXN8Pyr/fH1sa5RXTed1s8lrWfyOB9 VU8iDWc3cJ7rykWdMSfP+zMTnHdRc0ljuYZL8Vhekw2ta9KY+JgfnaPv+Jkz48IPuhvzWL7gYDz5 /FD0Zef3qn9ZHIcHf5/Xqxbrv/+lqB05FFMy618677bY9a8LG0dcMdgfsflUPPzy0bjwb7VW8N8W r63pjd48/ZF75LHFs7Orel6OyQv/HwfjkUvtceaHzU7j5XP3xTM7imUbcv/T9Qyrp8Rr32+OL/av P3kwtuRnXfd/KTbM/WNs3FbP+dwb3XkO9f3Nf3wo7pfJrtcTzSlPeL9akiERbQQIECBAgAABAgQI ECBAgACBm1hgdKR1U06z66sZ5h0ajO19p3JJhRnNpRRmZrfkdTlhdnc2vhY/HOt+2pcB4EdRy7N7 pvFePQ4ML4rVtw/EsrfOZzB2NnZmU+JTi2fEln0X4kB283Y21kBtj94iNB271S/FiXyvPvzhNZ8s 77njyt9zsnsz9tVzn+wKHWwGxOte/ENsjY+inh28J84339uTHbXd44ScK+8eta5v46pk9+mVuUxp fmW+mEPOtdg2vnE8zh46nvUyjB1uHnvn/rPZbZuhXrHfyFw7Phdb/r0zDrw2EFt+cSR2nfwgnil2 bzWqHshwuadYnqK1rcxlCNZPLf6eHitaAW7xUe3Ls3N5gLczKL40+RzGOb/W4aP7271x4cjR2PPC vthzcjh+fK5Ze3Wxw9R/iNXzBrJr+b3ozz/n5PlszN+v5NrH9dOH8tXE571k6kf56ZRY/c3RSyg0 hkz4Y2V2pRYhaGObe0usLILTlmXR4DqyjZivXzpv5K2IWV2xbt6peO5ocT1qjQ7spQtuawS4V3eK WLLwttF/ZifsLVeWiig6u0e2Ws+X4vK8P0ff3oOx4ciF2D5QrIGbAXZrh7wFm1sxsTH/CNC83ya+ Xq2RuQzD+PfryOd+EyBAgAABAgQIECBAgAABAgQI3JwCN32IG5+9K55tG4xHMshdf2yosZTCU9mF eyV8G+ua68k2lzzIZQ8yUF2SSxnE8NTozIeQdfVm0PrrDHTfOJ3h4JTY/43s5t13JPbsP56dnvk1 +EWzJj7u2Dr590jgN/qjq/OaEsvvaMvwtbX8wu1TY3Xu2J1fhx9vO5Gh87Vb2zVzKYLZxta6Yt+7 Y1r0Xrl6U2N5hrK1+UUymwv0jt6Gjsa6nw3Ek/neylsz6LunI5bkcgVr06bY5uRyCU9ncFkE3o3g e0GGyUeLrt8p19QvgsqunHpjuYRJ51AcefztwH+9Hj37iuJT4ifzbomX5n8YD2YH88jW+41cO+LZ odjzpwy7+/Jc2mc21j6ODN2LbcLzPl58On38Lufio3G2a80/aoTf4+yW4XLz3c6Oadd8XGs8sO3q W6uyY3jsNvYeKdYjHm8r1v6dkcspFNtjs9tj3X0zYs6rQxPPadRBmvfcx1yv1r5j51K8ffV+HXVA LwkQIECAAAECBAgQIECAAAECBG4qgSsx4E01q2smMyvuvyen2TcU618s1gVti+W9t1+zR/OPT+Xa pfnq4tRY893WV/Xzz7N79sXm49MbDzOLnk/Hyl+fitU7MizLr/R3zborQ94j8bXd7zYO8dJ9zeUJ mse7/mctg+Ab2WrtRYflpVjx0D0ZKLdGHHsrnthRj+Xzx7RR3sgBR+/TCgF7F8+PH7aWR4j4c2z5 +YnoyoenFa+LbWSu9ez8LQLcZx/qaSwFUXx24NT/RjRCz1zC4CtfjNVfKd69uvUfPZZ/XIxduX7s ioW3ND849n/xRHaDdhfdo5PO4eqxrn01GH37M8DNTuoLP2guHRH1/rh336mcbyvcnD8nQ/s345GX +2NldlH/5Kt3NoLG+mQ1jxcndLWz9dq6n/CvtuZxt/zmRC6NMHKP/Dm2H7qcFs3/hYqQvRGElyzV v79oGW+L/Y/1RnN5gwxwX83lFEZ16zYOPW7qWszvY65XyTkZRoAAAQIECBAgQIAAAQIECBAgcHMI /A2EuNktuuTTsbTvTGw8dznunZ1LKYwbZN0S938jU9wdF2PJpj/G1gcy6D1yOlbtvRiv316LdYV3 x+xYNTPXMc28bOn85gPMuvPBYDFQdIK2x5L5E4S0ra7Vzb95K+bUO2PJx6gV33bvXtoZKzOY/Nrm vnjlW3fm+rz12Jzr9T6ZnaKrx44d6Ygt5ncDW21hK+T89ZvRef7ODIUjdv0qH5aVS6S+kg8AK7qP i23sXHe+diyWtM+I/lyWonhgWvYRR9+R9/OcWyFt8VZr6/pmzv9QOj1/ILYtvSO62+rxRD6g6/Xs nt389XlRu3uwGbRONIeRA133uxXUnr8Qu157JwPhpsvrud/2XO5hRa6DW4tZsfy+vCZ780FlGWqu by3pMOl5X1frY96YwHwknm2MbO1TvK594TPN8913LK/l+7nOcWF+prFu8FNfn51zfu/6YqPGX//h OO809r8Uu37bH7UFU2JPcU2L3Y4M5sPL5kVno1P7cmx54WCs6r0rukcdYrLrFQPNNZxHDbnysrhf bQQIECBAgAABAgQIECBAgAABAje3wNhI8eac7aw5se7WM7E7v1K/7poHmrWm28oGa/csjv3H34ie vgvR83zRTRpx763tcfiRz7d2zKB3cTMgXN3T/Op756IZsTQDwzkLPn11rdLW3ld+ddwV6+dm+Hn8 Yix7+Wyc+c4EYW92gja6MWtdseWhXAogvx6/bMfJ1mHa4pXvLLiytu2VY9eyIzj/6L/yRutF65xG 3r4aMM6KVd+fHSeeHohH92YH8d7mHpu+eneuGVzM69q5Xnh8bmzb0x8PHz0Xz+R/Rbfnpnltsfbo pVizeyD6vtvVPMDonx05/4c/jNq2c/Fwq0u5GPfSQ/ObD1rLoPXj5zD6YK3XjfPpiOUPdMTS7IR+ 8OWmy8pcOuDxUxfjyaNnYl02SPdmo3LnfRna7z0VZ2ffOiqw//iaB4oyY8zGmUXzrYnM89Naq+O3 NqvZfdsckLXX3B1nt5yMtflgvB/ta777VO/s7IbOfyyov3f9dZ1g2YzmyOt/dj9wRzy++d1Y+2ou ZfFqft4+PTbd/mGsPX0xtu4fjB/23Bmb2o/F2nzw2s7h9tjz5VHHmOR61c9PBNO6X0cdyksCBAgQ IECAAAECBAgQIECAAIGbT2DK5dxuvml9whkNvx/18/nAqbZpUeu4vtP0Ex79Lxj+YdSHmmvU1jo+ 4TIK41StDzXXUL2hY+eDzurDF6NWa86jPjSYiWWuATxJjD9Zjck+H2fa+VZem8Z88vrUiu7h4nrl g+hmtYzeOhhTnh/KJSC+mEtAXO9Wrub4M/lL3x2pnTfWpHZ/6bEb+xcu9QzQG/dtvh7MazbicgMH HJnfDd0TN3A8uxAgQIAAAQIECBAgQIAAAQIECPx1BX75y1/G32eI+9d1Vb2sQP2d2PrCmdh59IN4 Jpe3OPP44om7o8vWMI4AAQIECBAgQIAAAQIECBAgQIDA35BAEeJO0of5N3Q2pvp3IHA5+jLA7cuH hf3u2wsFuH8HV9QpECBAgAABAgQIECBAgAABAgQIfHIBnbif3NARCBAgQIAAAQIECBAgQIAAAQIE CBAgUIlA0Yk7+ulNlRRxUAIECBAgQIAAAQIECBAgQIAAAQIECBAoLyDELW9nJAECBAgQIECAAAEC BAgQIECAAAECBCoXEOJWTqwAAQIECBAgQIAAAQIECBAgQIAAAQIEygsIccvbGUmAAAECBAgQIECA AAECBAgQIECAAIHKBYS4lRMrQIAAAQIECBAgQIAAAQIECBAgQIAAgfICQtzydkYSIECAAAECBAgQ IECAAAECBAgQIECgcgEhbuXEChAgQIAAAQIECBAgQIAAAQIECBAgQKC8gBC3vJ2RBAgQIECAAAEC BAgQIECAAAECBAgQqFxAiFs5sQIECBAgQIAAAQIECBAgQIAAAQIECBAoLyDELW9nJAECBAgQIECA AAECBAgQIECAAAECBCoXEOJWTqwAAQIECBAgQIAAAQIECBAgQIAAAQIEygsIccvbGUmAAAECBAgQ IECAAAECBAgQIECAAIHKBYS4lRMrQIAAAQIECBAgQIAAAQIECBAgQIAAgfICQtzydkYSIECAAAEC BAgQIECAAAECBAgQIECgcgEhbuXEChAgQIAAAQIECBAgQIAAAQIECBAgQKC8gBC3vJ2RBAgQIECA AAECBAgQIECAAAECBAgQqFxAiFs5sQIECBAgQIAAAQIECBAgQIAAAQIECBAoLyDELW9nJAECBAgQ IECAAAECBAgQIECAAAECBCoXEOJWTqwAAQIECBAgQIAAAQIECBAgQIAAAQIEygsIccvbGUmAAAEC BAgQIECAAAECBAgQIECAAIHKBYS4lRMrQIAAAQIECBAgQIAAAQIECBAgQIAAgfICQtzydkYSIECA AAECBAgQIECAAAECBAgQIECgcgEhbuXEChAgQIAAAQIECBAgQIAAAQIECBAgQKC8gBC3vJ2RBAgQ IECAAAECBAgQIECAAAECBAgQqFxAiFs5sQIECBAgQIAAAQIECBAgQIAAAQIECBAoLyDELW9nJAEC BAgQIECAAAECBAgQIECAAAECBCoXEOJWTqwAAQIECBAgQIAAAQIECBAgQIAAAQIEygsIccvbGUmA AAECBAgQIECAAAECBAgQIECAAIHKBYS4lRMrQIAAAQIECBAgQIAAAQIECBAgQIAAgfICQtzydkYS IECAAAECBAgQIECAAAECBAgQIECgcgEhbuXEChAgQIAAAQIECBAgQIAAAQIECBAgQKC8gBC3vJ2R BAgQIECAAAECBAgQIECAAAECBAgQqFxAiFs5sQIECBAgQIAAAQIECBAgQIAAAQIECBAoLyDELW9n JAECBAgQIECAAAECBAgQIECAAAECBCoXEOJWTqwAAQIECBAgQIAAAQIECBAgQIAAAQIEygsIccvb GUmAAAECBAgQIECAAAECBAgQIECAAIHKBYS4lRMrQIAAAQIECBAgQIAAAQIECBAgQIAAgfICQtzy dkYSIECAAAECBAgQIECAAAECBAgQIECgcgEhbuXEChAgQIAAAQIECBAgQIAAAQIECBAgQKC8gBC3 vJ2RBAgQIECAAAECBAgQIECAAAECBAgQqFxAiFs5sQIECBAgQIAAAQIECBAgQIAAAQIECBAoLyDE LW9nJAECBAgQIECAAAECBAgQIECAAAECBCoXEOJWTqwAAQIECBAgQIAAAQIECBAgQIAAAQIEygsI ccvbGUmAAAECBAgQIECAAAECBAgQIECAAIHKBYS4lRMrQIAAAQIECBAgQIAAAQIECBAgQIAAgfIC QtzydkYSIECAAAECBAgQIECAAAECBAgQIECgcgEhbuXEChAgQIAAAQIECBAgQIAAAQIECBAgQKC8 gBC3vJ2RBAgQIECAAAECBAgQIECAAAECBAgQqFxAiFs5sQIECBAgQIAAAQIECBAgQIAAAQIECBAo LyDELW9nJAECBAgQIECAAAECBAgQIECAAAECBCoXEOJWTqwAAQIECBAgQIAAAQIECBAgQIAAAQIE ygsIccvbGUmAAAECBAgQIECAAAECBAgQIECAAIHKBYS4lRMrQIAAAQIECBAgQIAAAQIECBAgQIAA gfICQtzydkYSIECAAAECBAgQIECAAAECBAgQIECgcgEhbuXEChAgQIAAAQIECBAgQIAAAQIECBAg QKC8gBC3vJ2RBAgQIECAAAECBAgQIECAAAECBAgQqFxAiFs5sQIECBAgQIAAAQIECBAgQIAAAQIE CBAoLyDELW9nJAECBAgQIECAAAECBAgQIECAAAECBCoXEOJWTqwAAQIECBAgQIAAAQIECBAgQIAA AQIEygsIccvbGUmAAAECBAgQIECAAAECBAgQIECAAIHKBYS4lRMrQIAAAQIECBAgQIAAAQIECBAg QIAAgfICQtzydkYSIECAAAECBAgQIECAAAECBAgQIECgcgEhbuXEChAgQIAAAQIECBAgQIAAAQIE CBAgQKC8gBC3vJ2RBAgQIECAAAECBAgQIECAAAECBAgQqFxAiFs5sQIECBAgQIAAAQIECBAgQIAA AQIECBAoLyDELW9nJAECBAgQIECAAAECBAgQIECAAAECBCoXEOJWTqwAAQIECBAgQIAAAQIECBAg QIAAAQIEygsIccvbGUmAAAECBAgQIECAAAECBAgQIECAAIHKBYS4lRMrQIAAAQIECBAgQIAAAQIE CBAgQIAAgfICQtzydkYSIECAAAECBAgQIECAAAECBAgQIECgcgEhbuXEChAgQIAAAQIECBAgQIAA AQIECBAgQKC8gBC3vJ2RBAgQIECAAAECBAgQIECAAAECBAgQqFxAiFs5sQIECBAgQIAAAQIECBAg QIAAAQIECBAoLyDELW9nJAECBAgQIECAAAECBAgQIECAAAECBCoXEOJWTqwAAQIECBAgQIAAAQIE CBAgQIAAAQIEygsIccvbGUmAAAECBAgQIECAAAECBAgQIECAAIHKBYS4lRMrQIAAAQIECBAgQIAA AQIECBAgQIAAgfICQtzydkYSIECAAAECBAgQIECAAAECBAgQIECgcgEhbuXEChAgQIAAAQIECBAg QIAAAQIECBAgQKC8gBC3vJ2RBAgQIECAAAECBAgQIECAAAECBAgQqFxAiFs5sQIECBAgQIAAAQIE CBAgQIAAAQIECBAoLyDELW9nJAECBAgQIECAAAECBAgQIECAAAECBCoXEOJWTqwAAQIECBAgQIAA AQIECBAgQIAAAQIEygsIccvbGUmAAAECBAgQIECAAAECBAgQIECAAIHKBYS4lRMrQIAAAQIECBAg QIAAAQIECBAgQIAAgfICQtzydkYSIECAAAECBAgQIECAAAECBAgQIECgcgEhbuXEChAgQIAAAQIE CBAgQIAAAQIECBAgQKC8gBC3vJ2RBAgQIECAAAECBAgQIECAAAECBAgQqFxAiFs5sQIECBAgQIAA AQIECBAgQIAAAQIECBAoLyDELW9nJAECBAgQIECAAAECBAgQIECAAAECBCoXEOJWTqwAAQIECBAg QIAAAQIECBAgQIAAAQIEygsIccvbGUmAAAECBAgQIECAAAECBAgQIECAAIHKBYS4lROvghEsAAAB I0lEQVQrQIAAAQIECBAgQIAAAQIECBAgQIAAgfICQtzydkYSIECAAAECBAgQIECAAAECBAgQIECg cgEhbuXEChAgQIAAAQIECBAgQIAAAQIECBAgQKC8gBC3vJ2RBAgQIECAAAECBAgQIECAAAECBAgQ qFxAiFs5sQIECBAgQIAAAQIECBAgQIAAAQIECBAoLyDELW9nJAECBAgQIECAAAECBAgQIECAAAEC BCoXEOJWTqwAAQIECBAgQIAAAQIECBAgQIAAAQIEygsIccvbGUmAAAECBAgQIECAAAECBAgQIECA AIHKBYS4lRMrQIAAAQIECBAgQIAAAQIECBAgQIAAgfICQtzydkYSIECAAAECBAgQIECAAAECBAgQ IECgcoH/B+0C+MNjr3unAAAAAElFTkSuQmCC --_002_D1D7F5DC609BBbelenbarrospenaintelcom_-- From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: by yocto-www.yoctoproject.org (Postfix, from userid 118) id 2512CE009D6; Sun, 26 Jul 2015 23:55:11 -0700 (PDT) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on yocto-www.yoctoproject.org X-Spam-Level: X-Spam-Status: No, score=-2.7 required=5.0 tests=BAYES_00,DKIM_SIGNED, DKIM_VALID,DKIM_VALID_AU,FREEMAIL_FROM,HTML_MESSAGE,RCVD_IN_DNSWL_LOW autolearn=ham version=3.3.1 X-Spam-HAM-Report: * 0.0 FREEMAIL_FROM Sender email is commonly abused enduser mail provider * (sujith.h[at]gmail.com) * -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% * [score: 0.0000] * 0.0 HTML_MESSAGE BODY: HTML included in message * -0.1 DKIM_VALID_AU Message has a valid DKIM or DK signature from author's * domain * 0.1 DKIM_SIGNED Message has a DKIM or DK signature, not necessarily * valid * -0.1 DKIM_VALID Message has at least one valid DKIM or DK signature * -0.7 RCVD_IN_DNSWL_LOW RBL: Sender listed at http://www.dnswl.org/, low * trust * [209.85.220.174 listed in list.dnswl.org] Received: from mail-qk0-f174.google.com (mail-qk0-f174.google.com [209.85.220.174]) by yocto-www.yoctoproject.org (Postfix) with ESMTP id B362CE0096C for ; Sun, 26 Jul 2015 23:55:07 -0700 (PDT) Received: by qkdl129 with SMTP id l129so36479702qkd.0 for ; Sun, 26 Jul 2015 23:55:07 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:from:date:message-id:subject:to :cc:content-type; bh=nCGBys/Dd1pvSmbCpxjtNIkW/f/TjGvV5/0JAEKuW0A=; b=TacUc0ug/vkEPLOd19ASOj5fJejKpJmwIrS8cc/Beot6Y2X3K4xfjeocgxcQnOTCkf QZp1blk+Hq79yMaI4e89vceBBn7032/Z39hv/TX+40HK0ko/WsftOdef3mo3IDs19khf La6j3zFhtg+oS39u0n9KaXqm4XV29Dj5ZnnHdvcNbr5NGn1SZDjefhjIhlwL77ljuFgo /CRibmlp2huRo1uEO+7hWTp3TQwOHMPJdExFVtRFShR/v6ZuPgrcyFd3sKQ7CUPighoF JSf0yIBq5oT58T6Ly2SotkP7cCPHtNqX/dxz5ZY7Mb5EgELIcw2HWeW63CZfRb/4JFxO 5VYQ== X-Received: by 10.55.24.226 with SMTP id 95mr38871237qky.74.1437980107138; Sun, 26 Jul 2015 23:55:07 -0700 (PDT) MIME-Version: 1.0 Received: by 10.96.138.226 with HTTP; Sun, 26 Jul 2015 23:54:47 -0700 (PDT) In-Reply-To: References: From: sujith h Date: Mon, 27 Jul 2015 12:24:47 +0530 Message-ID: To: "Barros Pena, Belen" Cc: "toaster@yoctoproject.org" Subject: Re: Usage of already cloned layers in toaster X-BeenThere: toaster@yoctoproject.org X-Mailman-Version: 2.1.13 Precedence: list List-Id: Web based interface for BitBake List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 27 Jul 2015 06:55:11 -0000 X-Groupsio-MsgNum: 2386 Content-Type: multipart/mixed; boundary=001a113fc8d47b939e051bd5d569 --001a113fc8d47b939e051bd5d569 Content-Type: multipart/alternative; boundary=001a113fc8d47b9399051bd5d567 --001a113fc8d47b9399051bd5d567 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable On Fri, Jul 24, 2015 at 6:36 PM, Barros Pena, Belen < belen.barros.pena@intel.com> wrote: > > > On 24/07/2015 13:57, "sujith h" wrote: > > > > >If you import your own versions of meta-oe and meta-ruby before meta-qt5 > >you can also set the layer dependencies for your meta-qt5-local to your > >imported layers using the Layer dependencies at the bottom of the import > >layer page. > > > > > > > >When I try to add a locally cloned meta-openembedded in my machine and > >then > > > >click on "Import and add to project", nothing happens. The intention is > >to add meta-oe layer from meta-openembedded. The webpage remains as it i= s. > > > >Attaching the screenshot for the same. > > That looks like a bug: when I type meta-oe on the layer name field, > Toaster stops me from continuing because a layer with that name already > exists (see screenshot attached). That mechanism should be also triggered > in your case, unless you are using the Yocto Project Local release. Can > you give me some extra details, so I can try to reproduce? > > * Which version of Yocto Project you are using (fido or master)? > I am using fido branch. > * Which release you have selected for your project? > In the release I have selected "Local Yocto Project" > * If you click the "view all compatible layers" link and in that page you > search for meta-oe, do you get any results? > I can see only "meta-yocto-bsp", "meta-yocto" and "openembedded-core". Attached screenshot of the same. Also attaching screenshot of page where I try to import meta-oe from my locally cloned location. Below is the file structure I have: sujith@kdekid:~/MEL/homework$ pwd /home/sujith/MEL/homework sujith@kdekid:~/MEL/homework$ ls -l total 5180 drwxrwxr-x 19 sujith sujith 4096 Jun 12 18:40 meta-oe-local drwxrwxr-x 19 sujith sujith 4096 Jul 24 18:04 meta-openembedded-local drwxrwxr-x 8 sujith sujith 4096 Jul 24 18:02 meta-qt5-local drwxrwxr-x 11 sujith sujith 4096 Jul 27 12:07 poky drwxrwxr-x 2 sujith sujith 4096 Jul 27 12:08 toaster_build_artifacts -rw-r--r-- 1 sujith sujith 5277696 Jul 27 12:19 toaster.sqlite drwxrwxr-x 6 sujith sujith 4096 Jul 24 16:25 venv sujith@kdekid:~/MEL/homework$ Let me know if more details are required. Thanks, Sujith H --=20 =E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0=B4=B0= =E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D Bangalore Contributor to KDE project http://fci.wikia.com/wiki/Anti-DRM-Campaign http://sujithh.info --001a113fc8d47b9399051bd5d567 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable


On Fri, Jul 24, 2015 at 6:36 PM, Barros Pena, Belen &= lt;belen.b= arros.pena@intel.com> wrote:
sujith.h@gmail.com> wrote:

>
>If you import your own versions of meta-oe and meta-ruby before meta-qt= 5
>you can also set the layer dependencies for your meta-qt5-local to your=
>imported layers using the Layer dependencies at the bottom of the impor= t
>layer page.
>
>
>
>When I try to add a locally cloned meta-openembedded in my machine and<= br> >then
>
>click on "Import and add to project", nothing happens. The in= tention is
>to add meta-oe layer from meta-openembedded. The webpage remains as it = is.
>
>Attaching the screenshot for the same.

That looks like a bug: when I type meta-oe on the layer name field,<= br> Toaster stops me from continuing because a layer with that name already
exists (see screenshot attached). That mechanism should be also triggered in your case, unless you are using the Yocto Project Local release. Can
you give me some extra details, so I can try to reproduce?

* Which version of Yocto Project you are using (fido or master)?

I am using fido branch.
* Which release you have selected for your project?
In= the release I have selected "Local Yocto Project"
* If you click the "view all compatible layers" link and in that = page you
search for meta-oe, do you get any results?

=
I can see only "meta-yocto-bsp", "meta-yocto" and = "openembedded-core". Attached screenshot of the same.

Also attaching screenshot of page where I try to import meta-oe from= my locally cloned location.

Below is the file structure = I have:

sujith@kdekid:~/MEL/homework$ pwd
/home/sujith/MEL/homewo= rk
sujith@kdekid:~/MEL/homework$ ls -l
total 5180
drwxrwxr-x 19 su= jith sujith=C2=A0=C2=A0=C2=A0 4096 Jun 12 18:40 meta-oe-local
drwxrwxr-x= 19 sujith sujith=C2=A0=C2=A0=C2=A0 4096 Jul 24 18:04 meta-openembedded-loc= al
drwxrwxr-x=C2=A0 8 sujith sujith=C2=A0=C2=A0=C2=A0 4096 Jul 24 18:02 = meta-qt5-local
drwxrwxr-x 11 sujith sujith=C2=A0=C2=A0=C2=A0 4096 Jul 27= 12:07 poky
drwxrwxr-x=C2=A0 2 sujith sujith=C2=A0=C2=A0=C2=A0 4096 Jul = 27 12:08 toaster_build_artifacts
-rw-r--r--=C2=A0 1 sujith sujith 527769= 6 Jul 27 12:19 toaster.sqlite
drwxrwxr-x=C2=A0 6 sujith sujith=C2=A0=C2= =A0=C2=A0 4096 Jul 24 16:25 venv
sujith@kdekid:~/MEL/homework$

Let me know if more details are required.


Thanks,
Sujith H


--
=E0=B4= =B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0=B4=B0=E0=B4= =BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D
Bangalore
<Projec= t>Contributor to KDE project
http://fci.wikia.com/wiki/Anti-DRM-Campai= gn
<Blog> ht= tp://sujithh.info
--001a113fc8d47b9399051bd5d567-- --001a113fc8d47b939e051bd5d569 Content-Type: image/png; name="ViewAllCompatibleLayers.png" Content-Disposition: attachment; filename="ViewAllCompatibleLayers.png" Content-Transfer-Encoding: base64 X-Attachment-Id: f_icljyupx0 iVBORw0KGgoAAAANSUhEUgAAB4AAAAO6CAIAAADxbt1JAAAAA3NCSVQICAjb4U/gAAAgAElEQVR4 nOz9abhkRZEHjP8iT9Xd+vbtla0baEB2AdlBAUEGEVBgQOVlt0F2F0RA1BF1hBF9dQZUBFFQR0VB EXVcUQEXFgFFZd9s1m6ggaabXu+tOhnvh4yIjDxVF2e+/p//eXqpOpVLZCy/iIzMk4d22W6zEIhC IAog1HWMMTJzjBGEViuEChGRGETEMdSRY+QYGczMALgKIQQiQlUFIiKiyFzXEcwAiIgoxDp260hA qIgCKICZmcERDA4hUKAqVGDmSHW3jnWMkauqYmYiIgIRUSAAzBwjB0K7VbWqihk1x7qOjBgCVVVI BZiJAAY4MjMHolBVRAAQY2QGABAAMEekLgKYCcwECgGJIVzHQGlgAQEEiuBOp1t368hMAAWqqkRJ ZIC0UQCRmcBUhapVRaDbjZE5BKpCiHUEIwSqWi3mGGMiyDfAYAQKVSAwx1iDiAGOdSKGCTEygwOF qlWFqgIRM1VUVVULAIHrutvpTDDXACIDIE6i5UQskNgLMBBCqKoAIpF+IoVARExUtaqqVRFR5Ahm jnViLBGIqpiqMBPQClVVtWKMnYkJgEOoQlVBhiejI5ggmEIIFEIIodWqqipQ4IgY6w6PMxBjrLt1 XXe7dZ0FF4EIBgIIDCJw5FARBQpJlEldAVDoMse6Tj0GAgUQIVTUHqjqWNddBqgKoe7GTqcOFIaH h7vd7viaCWahM3GKACJpHyBK30EAIphBSeggAoueMpCMq6JAgbuxbrXD0PAQEXUmJrqdbuyiCiGx hJnrOhIIyTiYY1JS6dH0I7GOxf4g4kNihIotBFStkHgCRlLNZB3dTo0oI2OVCRFAnExZjC0EVj1R AogIzODIExN1txMzBUpGTLrD7CVNgKIEJT7FZKTgiqiqQqCgA+Qku8QGWLdEIYRQhSQBBrFySUYP tWhWfqUuYqxjzczsB0EUKKTSiXTSq2C3Xizylq5MQnWMkes61rGuOaFBghLlaUgKCQJTzXUd6zoK llaBQqhCCMYihoEAKFWWYSKBLseI9N2UklOtglEkMKwSljEQEVVVaLVaVWiHUDHqbl136zrGOsYa qBPJBGIm5SyHNIggqi4KE4xfYAYSDCTGkFlKEKwnMFDHuhu73I3MDCbmiPSDYzNrQ+kLiWiEHzAr 4CheihFABEoQzeCIWNfd9COSEoeqSp4JFMGMmNhdUSAE5kQ/R+bIEYAbr2iUQSYnyGOuk0IlZQhZ PYmISSyxolAlDoBSUY5SJ/UI+6yuFKpmnP4mD5lAEiyapR8E54jZLEH9UeIIhGXEqePkjtluI403 NaXDFalWoVVRVYUqUMWIEbHmLjgyoqgpgygkfEnGy+CkpU45k3uXrg1OAYASPmg5sGkqgShUIVQU koVSMgDhPxjMIemDab24lZBVB9owjLViZe4SuWRKpERy9qQQL+xS2zS0KxQXSGCoclRMZbFroSWP 2OpikosKeqn82q9w/kiUhqZEsxsdZ0cBdf3/9HJOG0ysUKUmYOQa6Fh85SMtLaStil6YKInA/xtq YFESqavw8OwtKzOG3U0hTb174q0qQ8+4HWEmP23TXwbL5ThefUQmgLJjEZ5Dehu3cL9JaKHFrh3O RXoIouL+ZBX/jxcLZpa9wGQm5Pfp1gCh8MAGC17kyh5mESOZ2F0tM/9+Y9FWsnNPLZJrx9cziO51 Wj1ayxIGFqOUiNTVdBrJzkg1wNShQnVbAkWvhMZcpqx/CeZ1QFBOpVqinMpQR6LEICzVEkmUpmAu tMpQWCCZQwFkH5dLGASk0ehYZMi+AUe1kQMJ4FRUKcQ1S48akqW2KYdTvXrWNF6L55MnDEQEjdrM zfuRcgFqERLyQlVNTFFdueMXkwtojPfMHDn6DpQwI94+OvZzYfNGKEoJFXfcCMjNV8rLRSDKcBea 5iDMt6buirRM6XoLNNFG+oCVp9O3X5TKoAzHxEx0/qKqkq2JrILpOastEMBpKscABY2jU/hXx5Rk cG0qvpg5aT+ZJuNLnkuy9d9/2L3fHa43WEaT1MgFSKA4C6XUhX7A1b+lPKrSz+QaqlEJOyJHjnUE R0BmfGBQECOrqlARVYQArut6vFN3IjNSqgWA+jnOfRMhBApV1Wq1WlVFhJQ5AJhjHesU8wfK4bvF P9GiZDfVUwNnN/sztCR1K6rG5nwybucpOCTmDjr1ImLmOnbHxzvdbh25sIteJiZVS1OPkDIUaXaZ EmFq6iFUIRDrdCMgqA1k9GNItAyGQxWGpiUaCiJIl+XIVsiwV0XdpwGbjer8JLut7KYlwaVOKEUI Mig1xsgGGqRT9FzAdFBxnpsRODfUOlGQ8gk6PVLGG/MLB2xVs+ZIIz6YoTwntck3yxyG87RMPQpH P9sTZXG4kbsrgUWn32p1NqVPtqUaaAVyAOxlJn67/MEV8GkWbaFwQ+rCSlCgHISUt61T78KNAPug vRGFVmKYTrfABARJQCR/KdNcgCMicx3TNFAY5EPFNM0lIqS8AFHicuTYjZFnbFpvfTT+L1d81V/H /09t/f+v/9+6Wg9d01q6wNI3DI4Q1AYQiFqUcm2BYqwByY8HChURxVYrhIAYLa8loFe1qhCoruuc LlETTbCP5J7gwnKdkjQMlUEMRAZFDlVKuFCMSIslKZnOzHVkYkUqtsY8EOY4URHIOiE4tLGY28qm 1BITU2QK1G6Huo7djoYhTMyEyCBE5kgcAocAAoeKiDmtiwQyj5YwIa0QpIyL5cIAAy/SeQB0shN8 9jD9JJwPumaggJ6jYnaoSg6yUzjg5gaZFQXvzDPqz+Zm+wVSJUPLCLA559SiJHMVBgk7jDxbSABS bp0JCCBznNnhCWQ6BqoI82RQfVxyz0Vgrxloa5cZFKJ5JQnn2EIQCakjYox15DpKjEhIrpOyUlm4 Jik/QEKfEKpQUVo1YcsGs3GPGZGYwAROYyaAmGpOiyGln0ymFFIvxmOGDypKV0fNZJXGLZzFm2NN 1QT1TzJBZ80esE6h3DwljdclrNIILYhKoiUQNOpkUl2RKMVCFQl5qIzuhEpLPbBpqIa9LBMXr/gS iAedS3GUtcQcAMqvZFhBpAGDDIsAQhUCbLHHh9qpBIGZa4pA7EljsfufTFqGEbAwERr9qaJSntFy makj0iiSmSPXVEcQgYlzvJZsy3COocvMJNrLACmjrd1Grsa4z8W3soRyS+fWPXFpcaWolix9ZQGl HyEXpu47Lhr3l2vKWThcgskqutrkh2uQwkCZAGta2Ktc5pe8HgjQ+WC3LOMYnF1Yz2+afUYR6Odu G9whDaZzXNtkn1eArLpctIHMxIZQfZicZ0A5RclZb7WbApObzqXXzVg1ryhlKU+Tg6EyvCA/ZA0T ml3JkpOZdoPOhrdrur4+VE/6K8w+PeLkW46myRrIaqJYylxwy8UD1pKpYs6eCjGvQi+0DEwDy4GI 2+zXRh6r02vyhgbHK6eqXKaGPUvzVLDJHB1iqSbcLKfWl3Vb25UsjlsVyBqd5/jCWfHebuBkLboR +36T82yYI8HN8zNAmqlSP+xJN6kYplmJS0YQ1P+LWyZzMqlWTkcIWQ2IyAQb0awGJUz061pQmzdH qwFAyYTcHkAehV2Al7QtWaUNTXywDMF8mkNNtkbZa30/DW9gNJXDts/NqtT4outzPrUzqbdgp859 lhEtShBLmaSNTGF24g2fLKrQZ+CsYjPYyTRlz1l0po5HjcBzToq9GoiUMSg31ptcKQ9+ZB3bWI0y Lyj9Ks3q6IoCPeQ2e24MyAcf1mDRVP+W3Oqf8ZR6AwIovQBAKQ8auUBl5QWLETSmcImibGqKim7S xKnRwKT2Q6ItOi4xZ9WUzEzvN8gQKwvNA7jZmUIoayiummIRLoOICSEwXLc2hVAIKlnrPQ4hUJBt akqV7PPMEyuiQJKnRQZZXasV594rNXadTWY2Wj0XpCJwKh2b++BnqRIZlb8DTvxeVZQ5uYUAZiKV dZpJEvt11SxOMd68YtBjGCYt9gzIRDdy66lQSfyrXR5IIbNm8ykiC5tnZUb2aan0Qo14ADJ6TT5L BZYBSIpbBlw4at8l6U30UYF+bsCJT1ux6EMnh8qrht9roHV5ZQzTnDmhZbvl0q2KAhFz5BgGlg69 dungVitbcydoKoA2Lx/pLhpbff/YqnspdpIphpwi0rRTmuazTv6BTowA4lZH0vKFADFcnqEfT/JN m6pSVk3pzQ22HHf/UXsAKtxwyeniV9VTSjInWeMAKw8T9ExWvX/7pE1yg6S+VzlEMSrvK1+Nfv/V R1AWBTNpYipL4dXp7+E6/++YL1/Yyz2lcK17buQNHAucNZm2dbc4on3HZ+qUeo7MhMBA2ujNHNOi SowRTKB2VUWiOtYpgUwBCLKMJDthJTeFVlXllVuyDCrMYyUztug5CJQSR+NjMQrJngRxVXXkbrdD gSK4lrQSI5qrK5DRtj3KTkoQGGkDuuBSD8NkeQ1g0TC1QuIqUAgUa4TUYop2dWdnWuyJMXKgEALD oA01dAMiiDmmiV5dxwQhQZJtOidIOS/O4JQBi5L5SMqPkHauyp7rLGJisaoiqFBlLe6ZihQakici ho8qHAXyLErPQs4RUoOtpLLMjE4jTpuxwVlPSEGBnFtjTssMFEC6b1zyyVI6KYo2zBrzScSlKwA2 lsJ/Qq1JSVNllYSXpO+IOO1EiEyIkWxLrlHevAKFikIIwcqEECqqAlXEsnc7QLTSFCYmXBQSI6UU vGyN5YgYmIosBDHgtMClLjLX857ODM9FvKEmaWhPpHsSpJlkbwRCEI/HrEvvMkuHqLK5Sq0oZid2 4BUjAG6nM7kNynnCnJ6ryUBWqJzKOY+cQBFu8kPmdSA7JGRDulmEij4gUNpUbwalWJICGohyEEH2 ayBQeqQkRmNmpAhGTNnftGDvrcqxRTPLXHNkXe+XfkmeU0kM1pksKTmWMcopSPWmsj8+5Wy1ucZE mBXvKcBMiEizPPnKsxMPKSrubHTovdJyjHmx/qkzM0UnLccoUseraI/iZ2TH2OvMgWbOmpUuK9lw q9CopehChqz+tjcEggP8vrzopduHPn1nWiJVzmiYWGBZnSIvIVEel1jbExAoarvv/SIoVVLvinv9 hUc9XSZzA9LSZreiti4HjfzT5Fc/XqOXy26jXHMoGQD6BUTuJivWFC3ohkfm3iiruSrRQ/IkHC7K Zhsw6/Nzsv/t1ccOG+Rq6KosVNWXbWLeyhg51+WzQ4U0yzH6n8veG6O3xTQ3O6fegk1rK0ZCvSsu VqRgAkEX2th0oadQprbABoggTPXZs9SldN1vurWWyyalgP7iCBazVlLhtkLmFlJgo9FhDvk84w0G WX0iZdlp9KZ/ZVelBXnsx2Wj10asBzSIzzXcfC55Jtedc/uW93Arx1y01+Mnijwlp4wFPIISBUbt hiBCTNyigkXmr7JsXBgn/kI5xq6iRzfSFamCTPfZS6ePZpeXD1/Ju6j+pcUnOJdOJj7KIjSnWkBe yQwUUjWBmep5hDf+5UlWYZpExJRlmt0Z62YFV1pmg/1E7ZmaKVSnVxR2Kt97mey8u+6pnkva5yLn XfpT31mfZlW3fJ3slqxZ0s1OGtsQTJjmDRicN7YiOxHlHUs6RSw01Q4lSX5xy0iUdLADOpnk6ixM J0PsYMipU7EQmLWpx2vmT2bw8AtxOtVl5HQ8qcUKxtksgJqqbHhIpI9qhpDGlh4oTw/wsk4o1MoU ejiynj0gWzXV/JiM/NQ+dHcRq+S8SHJA5pyB8oSlEUYR72kpw2lnWxD8ca4x5uZUmDZLAkCU9rrF hkK6qJ/9P8lWTz31vcceNx/Af3/zqiu/dllGOi93cjX1gyK60CF4IBCp0CqANkliyid54YE2D6x0 Pa5iQ83K8ZG7nWnNPznZFKavXDXl4lygsMui9Z6tGqQqVBDoexYTCHnEyjsCNKbKeX/fPog8vAMM tGSWGZCe707XkoGtnxw5YLya7hk1TjPGB2a8PPDa9uj+6y79+bRV91QuoeOokWloxagCIT0ZG1Dr iQJ5SDBfBHFHlJeHtb3UB+tGQmsi63KBu2ZYJjFFG1ZJUv7qY1ChxtCCQfqkcLY2j+w5FiikhfxM aRqp7eyCxsveX6DPhKFsMbti690FQ+wDL9+1oydzypCmx5dIIsyANIGLiUEegINMd9lYYjMOr22q /85cNKtW0Mbp3BNHjbZvK42clcSUBgA42sJE5EgpZ8pqtUx15MgxPfFTBQrgluRbrBZSalfzoRQo EDDRmYgcDZiSB1RHySlpk4KRQPrQhT1XFfMKqMmJOWW0A3MyNiaE9NCessqJAaYfqjCVPONOQIzy +IFxtaErxQemmPKehIoQAqXnoapW4IjYRYyUvJw9WE9EQeAgA17kdMIE60keDIIkrpKXhaa0iKpA A62qruu6y3UnCvOCm28k1SKQbqa1fHioaKBqGdtjzenUnbobnaWSYYjbp6NqnlyGZApsjZ6VJTKF EtQSxHTwTda48dYEUmIyTDutAwVnMXptRVewtacM0ZFjxVC1tV3h5gJz65b5dKZiZKW7BEDOUhK/ zhY1yewprTWkbf92bgyIEDidyZJaUraS7KXVkxBE1umUHqTkJ6cTeQC4yb7lRQPJsQg1s63ngzly RnNhVFo+SravCTvzhpn1RYJGuxHSo3oGMhtkZVNiXgQHCoSQnrGNxIiRqWaXCwsiBAlCWKNM2AEc 6QyPEBLcBgpVCOpUKHWv6pVxwEcL9iGPRR026xeGpF4pq6U8kFTB7elOopXDNFT0lDCJNbBi1fHc IRHJQkJCM8EjnTbUdaSYpsVuNiLrRxKmCFejTs/sWKAcguTpBMGNTHUNhPwosPEkb60xN2V+1sUb bFxjxIAgVmbFbdKUs/RwVzYQOPsm87dU1Cicm7vbg8Dw/VNRKKtAQxuoyGZy9tMZfQw/NTJJCgIq N8K6JjiXVmZqVTXnyWqVMUpvjAMAEtMIqCk9Og6fhHbJcgsOFF+ALKbcZqGnzcCiwZ+cNe4T7Jdj 1J/dhFoU2TJrVtLm68ls9Fv2LDBdZ878LYZjDqIgoe+lQZsPvxoNsg+xHXAUhMmgs7FZB5JP47Sn yBY8LOpu6h8XPHc8LW5JR5S/FN6z33C9kNjxvbAtcp1xAV1OhYgU6pmRR6D/FT6bTBiF8bK66v6E ChqxFyMXhOpwMvt61MCrqyGN75X9/XQWWWkGhhMGnL0rYVamtB4XXSozM/xkEi09nJwOGfxyE18y CgFI57vlR3DU3DVvrHRlZhWTtr7wad2wkk0ScQo4uymUeWiVrqZXCuAuUMGDiWO06EbaRhJTbKt5 FCvls5qy3p5n2pBxKyaQsdvLihX+ymNmEhAFUIw+wrHFOGYbtuxYsHrZuag8jQJd8yu9TfpSfJM5 qu5Z4eKnyYSkIOPsTOkUo2TtyslcwMaSYpkyymuU8KDbpIMttWLKruqYp79BMuylmaTQSCQmmpnq N1iUaxJxinC5WNgWEVOGW7Zsmu+v8IPqSzTVjuY6D2u6o9TY3nE4wOeC6h763dA1bmiItMASctQ0 fk90kWw0LKAUlAeQbwkpalqCk6ThNQBERmCdtRtHHIsbSCjj1Xm5TItlNhfzfFCcKBn/mrFAYZiu /Yau994Wzw8wR65ZJuOEGJhYHuJLQiXfgHXZM6BApCdvEFE6MkN2hblTeXLcy6nxtAucA0KgwEE2 zUnGSsdFjJBQjIQhBtHGqLSxy+jK/NCuiy03hUOVPjzKqMtgMxevh6zTVCmsM3EGyKUHU6eOGvPm LKkHIgBHHX3cdtttXYXq1tvuvPJrl5PV4SwlcQowBVBlywqnneqBTr50TucXDPFTBIbaBQyMckzj bdvjSw+mSiF3tEjTmjPelizNDr3ZYEOSNjDnrc1isin0a8f1Zy2z2LvmL8vtBimwzMOlBqwJDqDV qWsChSrI8UcUnho96Pnh3X083rg61fSnZx29cmCjuct+HnTG7hyY+MW0h6oKVIVQx6hPD2R3775J 1l23lqj3Ef5pLjO7MqnLpa8ULPADzR7Ks9e+koU6TkM0dZVsw8uQdBc0OTlkD2hejDhHBgwEfQrf qYIncnJWWwlAthrmG6JPiRgNW9WvusGzEqnkplSJ5W5kpAmF8uRf+cMl97wnQOZ22WHiWhFfMjnY M1Fyc33JJA7Ng+WtlOXFkRSW0ynKLy1Z9sqKVZldBe8AZXMCilkzp6yz9jT1H0JzkN2AsQohppwM bJC6agGyLQYESc8RcQBFjo5a0vMWDHyYiKp2oBDqult3a8vwU0VExHVKKKUUkmbRqhz26Jqok69l VkzJNUwPJGeoCkKExPRAgSmlm4lkC0k0fE+CSoYl2Kx7nzX/yckZmsrmiCGNuT3QSseWx1rOmSYg QGI/U6u0CVUevwgAIVTUaldVRczdFAVxBNLWckas2SmgWbWGgEaCTaWTFvlwxGSvriJ7KORgBdlF U9YfAdkCq02jTMRaM6GQcCtNKYgC6TyddOrCynidCQtSKLeRSkXL7AEZ8HJeltRxpnPr5ESIVMTq sqOb0+n0WgsAUWCOHgUlkQlDBtaAgVKliFjHKMcLKzM1XADchkINp2KMtZeWEelkqgYp4YiPfbJP Ne/n5ywshCoroWmiyJGipGLTClQ6lZ3S2Sk1EyJqtpcNBDkR2c2iRcDMdiS6rtwHO+XbdJsEnTPu egQqZ0XCOWWg5lqSCZvlZ1tTI0/3o4pXxBhkgYC1aa+aJh09vjv5bWL4VLWwP6atyyANrDJGs84h QmAmZsNFUTjhs/e1BESQ7b51MY/3Z3DtIzHQIE2iFXdle0hWhqjsKjY2GgQlM89T1z4exfFITMPz 3H3Pzh+eLblwue+s7Mw8ZXlR8Z/rwjLpuahBDND4KTdddKjmr36oT8A6WQjCjZ+YM4p64C07zZZj 1Qy8XT12SmI/i0T7jKkvpc0NZ72xfXMQZoIqKnLftZ0Gy40KsU1mm4uXAiVNo7/aRc1NJo7AHoVp DqQpEdd74yfjqukoRBdQusayszKuZtN53yZKjuY4oOmTzAaKn0uP3NNi4eWgViDbQUrtKW0wNvmm SMP2nXuEm91g76U4kM8HarbtfncdifGaL4IMNmfJe9Rc3GBPzrLMAHOv8uQOe6y1kLzVzH4kxy8O TtymL3ufhhVwHMnk2SqMeXTVLjb6G6R5fCInJa9fBE23Fh3qR6e7Ci4uAVpe/Ywmy8o2J5lGpcXs vCmKYSGHkxubfyX/KGkuUqAO2yABnaw6swhE6iU1KWSIA1Mmw4DcVp7zlTDpkM1+1CH7VV8SmXqZ OQO0dr1+F3T4vtMwbcmc5R65+F/KkxOA3m46xxw0GM7ntBI1ShaNpZ+1bNIJyqpP5ShhXtXLrFRH 50cLkGb72ShoOHO1qLw6bxbjKCj6Lenqvcj13mCatxVSMSn/vNkl3W16OuppxXFFg0Eu18AcjPSC S8ElcGOcbP9AkCNHFkmCqTrl7JICTKZL9jMlfMuZKNeqv2Q+1HSy6sQUvhxoFcCdsIBt3U1+iRxJ ThtkLrSzePjRMzlNkcimWm7KJ3MCN2HN+ipOkNNjpwziQBQpBEu6qvAoEMcyJErTClWKnNUw9C7x OxMuqXXSRlx7BVzY/WZ0p0eWktBms8nUpUpdYD+9sEdzvY4QPu309x911LGtdhvAvfc+lO7ectvd 3U7nu9/91hVf+RKc2gB5Adk5sEzYSSefPjg49OVLL+6Xxc0alEEwkUJ51JJ4VYTJA1aGmAoPDw8f fey7vn7lFQ29U3em6iTo6MkU+OScPzYhOEgqlcx5yEyur+PbyuT6G+TF2BiZ1vCKyfYcNvsC7lZW olSi1a1jIGIV0zPTDlw88vqeXuSaO3t4ohtfWDoO0JKpewBhg1f+hyqZ02Y9DkBEHSMBIVQqxShO mpiY9rzj6ge22HvJ9PXHV70yuvCR0SXP3DOwNoD2yJThqdOGp88eGBkVl5HX5L0r5oaYnQOlzH8y EQj/8wPvkp/wumT6FgkkW+pMjnqieVk4VY5iQEYql79zETMmH+SFOBnDrbiWamTbzA01Woi6fS72 WdxNU1BBd2sjAiQDz+VTl1wwjZyJsHr1QqOzqTofxVlwvg75mioR57M4pzjEq8jyOUd55SA4cKiZ l69Y/cEPnjNz5kwoZjf2hqU8KghLliy55OL/XHetlIBGFQITmLtVerMBZcNjwEKn9DmoBkmaz4Fr QKg1qSiYISOX4wVardAebMV00EVFsUbkSKCqQqBQ26szcxbKyAZk8dNYq36pZ8ZCQKD00r/g3aAQ lZJHVSCgriN0tSU3waawqX3oke8M6Hm3PUCUWg+BWq2KESPHOnZ1q2TCHJ26q0vX19QREZg4BGq1 AgXUXc16VdIvZX0RI/ZRVxMjdSSsEndOkTWn+s9szkdiGq7k+ZpFFgxJFic6+7RiToCDNEsGGTEy QpTkJWlgAUvIauM5CMj/F4Al/Ez6mVKiGS0YtdJLzucYn4LOeZzVwV43lJXC4QIzODLXXOf1mzK+ lYlUSv6yvNsWkVNURCA5wUN9uLwqwhjmDnE0+CYXEGjKlCSZnwdkxieXnHBtQapoXCAQOOXdo9Du Cki/bE5fVmEUBvTgcktFq9EaO+yvC+Oz9apUuRCxA61kYkHDGxUQmyxYXq9bhAf28jy2tHaBwwRi VlM0ZItgphz1coQe1A2AQjriQkaR+5OppiCI2giyNDSlkaAkzbeZ1YrdKOUf5+caHylzRdVDv5Cq QnLR6X82x82uF8+pnjlB0a3xE/6e27TmuE5GDhUVudGiklBuS2t23hi7tz4FehG/YnB2w8WAivGR LXwwFESVKyUbLNqZjCc98+HihjkSdre4+J0ahXsKyRTJdGRSsLZsJDuk8oIlsoizl2TTTuT/isYd iazVXMbFIl7kxIL+xmJp+cE31il7v/x4/8H1Dpq9aEoKJ3do+jYXx7aKWqwAACAASURBVBapaNPq hjIXOoWywGS0muR7+rHlwEmaEQr0GSE/d3da4eksFM7y6RmZJu8mV3LGkxlp+MWwxYU+NqJN6DA1 gdcs5RNuOiZ1zPrX08yZDmf7PTihffWjrKnF/VjRa8GeoH7zzT4ZXSqwO2dLC30y6/H8bppUxm23 jcwrut0kqaCukuyFwk5dSJWpd4yZKgfjQgHbQPLKfGqJc9ns11hT0m57jDgf4aLOj5qrhyrAHF3Y ZEV8Mjnv5msoWXlXeNk09ww812ywoJcZDbz2jXhN4z5q10SRRt6p0XPSmSyqJiGuWM/ad1GO/WbB pBKiYyqInLsCkHfKIvesmuX7pQb5qg8eitRAyzd/5lq9blN+JKdGvaXyHmu1rEm8BReqkS1KGeAK en/b1MUe8hqEmiUYhjelpmWhztQ9XGFvfmlol3lFzttnbduw5DlJ7K3oKTsmtpiZijFmJMg/ZN0k QlqhFOszByjUNk/xz9GFSTgrgRDAXvkYXFoP+UDBY435OZuUiJrLfi+OAIdAZu9m3Kb8MnWIkYPO acwP5hxLEwgJuRnljPFVh0vWBXIR6CTE1ACFgVk/As/kggG2AjJd0FEjc10BXlXOnduhHSSVPOKI o972tgOXLVta6Abz9OnTf/KTn1/xlS/ZuIp4yU8vtMF3n3Tau086LVW/7NJLXCjQYBkaF3vr9JMY xXubA+mkkQAcfez8U04944XFi3/yk+t72xTHIqUzlaSreemLaGw+rbDgu6fYr7E0jMSDla9tEm1g cYkjTR6ZZMVHsIBgc4iko3SktNJY00sqlw1v08g+T5vSBrBsZSd9PfeILe57fNmVv3z8HXut/8jC 5fcs2H3KxIJZ4/eFgEqy2AEGXTHtjk4vM0vbq1keciLsO7xyv2d+9ZmlO9VLXjgvLMAAfnjBtSBa dPNvvnTCM0/e+o8vX/sKT5/z/LQN8u5qm0cZyunzLDnt3lAhe95Qj0MFAMoOXFwQS34ZINLtFqWP TKffauvcKzoJR5xEnOvzbl6/9Qro1S+N43tMPmcHXKSABmB6cvNGbjmkU1mXMlH6bK1GR343OliX 5ZKR5WdOHJRpa4DKy60ZGBZrnJ/JZoXH1FbOVkeA0lsGM/+YEYI9EJvOWF6zevWFF17QN/sMBSSA TjhhflSECCGEqhU5EkKrahFQhYqY04PubIJkVm1hZrZNjwqoxJBzS6Mddco5qOzQ3N1Pf9dmv7rg py+CY0znJCBGpEdoqhC76SBrEIGCcGRlPXfvs07f6Oqzr108DNNJAOR2wxeZGYNGOVckGBsYIdAE z93m6KM2+9UF1z67yY4nHvOan33q2qcCi5Ei1ryqnrPfh06f991zv//CFNbMXdQH/EOgqgqEtGla AV7FtbJeb9/3nzLv+x/+6cqpRFy1qMtyHrA6m4HObmd+ZKOrL/neMxgcCKGSQCKNIGBFZ92dTzxu ox98+BdrpqX2I/Pqes6OJxy76c8vuH7RYDIxIgLaq3Y47SPzvvOlHyzutloOZ5s2JZAIkUSPORQl DX7Nu5ApraIswz+zLEzPzxtCVTTbuOTcOOXcndtOj4VQermz2KykQZPGMSOd0i3BTdJG7TmHS+rL Q9D8KRGQXoKMdLZCKNwVqf4WSEFFCEjp5BcbD6cGI2tUJMdvyN5o5ZYTAaXjPjhyN9bpkIegyw6p NyZWS2SLFyz+SQ43fUuITbZB0kkwidhBtQpKmWQGHDglvgM0htUcrnRGSpvwhjQejJCx2hKG5qkz V3OmmQBwjOq1XEDHzOJsjU9+ZivBGTRwhUAIRBdY1Fm+iGqk3HpIO7tDIJn2pkA2Rr9pULqR9DvJ zn4wI7Ke0q3qKU6CBX7FMHIUkVBQlktIXlzMCSl1uleELTod1+BbdTH94xL12XysOxgIO07Kujmp FbDFXRpms+btzfalnaIvqwUG5aO+issHewV8NCaJPugTQZpHTnc560xPVRm0BomFYkl9kvhlEtp8 0UwNaarEms7jprIyNZpwiw4qMTRf8lWO+1UnuswukV9e5PnkCGi6N2Wr0w6LCknPmCBltQfm3KjG hUX//j8uP4pO2QjF9cNnn0mBStrRSAVoKHfTTeW0pBYrbaEP/dC0e9mWiZz0g/NIfd1ecdlIPTX/ 5KJ+MiOFYIMLJYKVZnLVVSMU6YxFOTVoOK+gqyvyjDRv1yqTE80NfmqbBNUXi7AsqeZN3rPSuXj0 ZyzZX9IPQp+2xa46Z+YXXPRi4Dw+agqUmzAkyKx9qDJkW2E1RZNIqUjOm5ajMjSw6Nuikqw3XFbw NmHZHw/wpbMw/pGNlzL1BkopzFVzRH9gcZzi8h71ss1zUsSd88GO2+KFyhyHy8RSjvKadqRTLEKa LBBIDyQjSGRmmpJ34zQA15tFDzx7Ot0TE320NDNMi6mfcMxyvDN3i7SlNw9cDdYYQo4lJVmim81s tsfRgl9w62eFK0yz9kLopgKUk/xaTz2rIrKuhmuwl4lxK5qOQKNSw9GCoT1UUx4/6bYtN1bREQeG /sEPONn3jFsT1d4Y7fWybKexW4eCPjrr7wtZbm7kHNekYFqgfqlxPR+z5DR6huMOO+0BGMkoNNLX fti5V9asXoH32eQkVUrZTt0AnS1k9YVfeoKDqKTNBfN16iDKlMN7iUgLYzOEDJqcV38n1ISQTv6k RGp6UJQhWRVKb98pVldFTYk5IqYHEXVSJhbIgJ6nKrK0WW0fIMlDVsVgHQCDUaTlex6/oryXM3Fe JkeO4TponbgRg4PtfvH4A+N6Hm25FZgYaLXbg4NVq7IyDGCPvd74wAP3t9ptg2CnNUCvHhOf+O7T Tnz3qenNN8cc+y5mvvzLX4ADNg/tDaem0J7K5vkMUZh/4snfuOoKNmfAxMCOO+7ylz/f9Y2vX3no vx7+nved9Zvf3rByxUrjjddD/8EkpCk3CVRMU82PZsPIk3rlu2szJz2ZGbSGNjvlW/+1yaff8skH 25mSYpzIQFIQWJBtcs9c81kT8pU0aaZ3W2oKDGovHHtrGsDwQDU63Fq6cuLvV7x5vBO3OfmGTpcB 7LL5jL888vIOm07/xrm7bHnirwB6fvpBY88+iG5EpYswaaARaapd13q2NEfElKKjfZ74AzO/bs+J D/3hrljxnoeuvOXHU7p1jW53ZIfdTrpho58dsXLzjatfnHv9HVvs/9DI5vmRI9vuqY+6Z5snBdu0 Yza6Y1nE+nRHc97dZSwH5+f7OGOVvllODCE/BFXw1URmmIXUW8O8rNNG/f/rVQRNrosM1saLZk2p orP1nDs2s9cnLSwVrcPyTAPAXZ7+/ouO2OSKj7z/4S0/dPmp8y487oyFe553+anzLjz+rBd3csSY L8jpoxxOqtp2eMaZnzlykys+fO7j89wbVyxDzSCSI4gFGlPGVnQinUdc1zUz5s6dc+SRR958082L nl2UdUBGwosWPRdjOoSCmYhCYFAdIwY3ft0Zp+07VhhfeO4Hl11259KqilHOKU5v9kWgYBs2JJS2 IMMWTFizSMyd5+/68dWPPb2qnt5OyBXryEAVQnug1a1jt47MXJGk5qpWiDFSTCs4ARFIRwbkNRAH iqRexqmE+ENmgEKFUAWi0Fm96C8/ufqRJ1ZMtBfe9aOrH3p8JU2Z2pm+3Q7VPfe9GLlOlW0XhnZi OeTW1OlbvXGPnbbcYKwCQqiXLrr3D7fddv9zHQJxSsi1qkDggXarCnGCYrcjhwqm7B4AChQqigFM 8hrDNCAKxHUkoNVKG3g5xlhH7qxZdNePv/vw4yt5dDDoSrH4cs2deNVXTTMzoWxyhb00oVaRm6hR zH3Tpl1EbL24TETGeudBNWWJAMkZRkSOnM7ARgpQyB5WJAkyLFLyAM9wvkK00E5/TgbM9g4Led9j +bpZ826SriSmoAdfmN/I8YHmRVP2VA9TYh2ZepTs7SwWkq21UVVLj2AG3HlyMUWhtv3BNZO/aacS Uloi3okx3bF0h6UlDAQkTkjgEjkZs7gN/aP2pHFTTAdY5yiQLEJTLbN9B5kpFq4JmOaYpVSarF9J 6rr+ALIbUGbKcCJDTotzSytEhHQWteZ+KTKCLM3ZRJcQQsqwE6e9zowIO8hDR2j/WCJI5BA0TS+6 xDBxQLMYzDnWTrMoZjdoyoGnSKrANKeBWa9sgSdl1d2NTG9DC+ymptizujkFg1FSXlQWEq0qyCv8 cNOpO9/HXHRZRG7aTAOgOAugKGk8pfy1HIeHCSrrsougfKW+0YTdMFjNZlaQz6Yok7bhaynjCH14 3KhqK8a5sB+WWGoj62R5YUyyQc0bLxziT0J5I2sZNByyH11sVDTNvbfka6kk8LzjSdnn33iQtatP xo29qFxvXH6lhhai8RXUIDZ3m5OHTj7NAaunkeLq5ZsZc4J35t6xliPSZnM2QYE0QTjnauUczNPd aDkfNNZftVFqd5arjqJcwnA2WzRT6Jn4mjSgWHiMVMoCnCwoZKY1DMT+L4Gp35CZUVArhkIZucnx Nyeks1tQqUP3Vkh/RBR1a2ef4fcQ3ID8IsrwVRumTWRcYI2AVKf77hkvOJbn7VmeDRxzmKq5LwcX qm4UuAHo2oCxfHKwkftsNYSnZhdE6ShocceUdVlGY+kOu+W51ivhxpV1EZabLbkmzNQcq3d6hctF kYxG8b8vXeBRs8WiziTAl3/VOb/TTM9Z+2wKxsQ26ddfDHB6CDamsJQj6vHVBd0F43t/5UICphNc jr7JUyjxebdRD4lcfi9bbQhVNN3ll/tcpZ258bl/DLXUvTYGbD8BmYNFiZIZZAM29XY7hUtvRSaR 3By7nK8zkD5apGGY151SOJpxlHyCYaBfRHVKzgCnXWghEKVT8NnjqGK9rc9pnsqYKGpG6ZlV4anM 2PL2Z0vokk3nNSZinRBEZiDqpCGn0cUWygRIQjZWHDdnyVwopsmw121qJW1XQZUkgy3taco0bf30 CKa64A3Ithbpl8KXZOvlhIDlk9181DHHj68Zf/DBB1QfCmJ1kJrVIDDziSeecsKJp9h71wEcfczx zPyVy74oPZUK3qtVhAyTUOyef8IpJ5x4ytevukJcBIOZ3/HOoz5w1rmnn3rC3//2ty998Qv//qkL Dzzwbdf94NrMa7Madk3bz0QxzNry4JNOOGyvrWe3O8/9+ReXf+abf1lVv+mL/3P2pp6kcM9Hj/7Q Ha9UFRGNxzkHf+XKg6479IM3jtderIX/hWao7OdslURV2Oit7/v4mXs/evrRFz60pgoxzN7ykJPf ffgbExk/v+yib9y1rPZQkaav8972/k+cufcjpx154UPjVQUANGXtNx53ylFv3nHulNbqWy889vy/ 1MNplK2gp5stHd7G3jp45dk777/TOnuf/bv1Zg4PtMPmc6fe/+QrRNhig6mPP7fyC2ds/5PbFi58 cTWAiWrGspFtp6+8OzKnV1IAQDq4NTIInbrWbX9RhxbnrFiUzu197Y71/XdHAHUd3/mJN1386FMj X7t/ZNqM/a9+y03H/fbY6+cPHvudhZuutxzDYrEqrXqC9j7/nHP/8v4jfrvhuGefbN1X54ksS1F6 g1Hk/DJyUOAFpVFVqmM7g03zHdhNrBk87/Izj59dKumCb7z1Qw89OzTL3cqgXl79/RyNzd2/9bff LFk7Ngs27EM3+SWY7ue5wFxP0D7nf+gL2676xYc++LFnN06PPHIc2usD7/nirnzj+44+9+WdrRdX O3lxNYtIADOhXvHEtRdfOvX+RTx1cwKoGgRHAqg1AHszmQFSkkhqYJz2+fhHvrCdtf/KD0477ZOL Nrr24i9NvX8hz1rfjbG5e89dkeWc/khE1EqHHHNdd7/x9W9MHRvbYfsdrr766rvv/gsRRQ2Vks9K uMNAqEKrquoaMTJNPPHTfzv95wSsd+hHz93y5n//7C1LI3GcOXPaQEhv0yI581YXaTM22uqTwbJu 1QkAE40MxzULF6yYMlZZYBkC1Vy1QqhC4EiBA6GqKFTUqlpUUbfT4U4eduHKXQLOh1yhIgB1evNg IouoalfpVbnMPDTYXfHsYytGpg6GevXTjy4fHq3C1LX3OXTXh+99cAnV5uEly6cZoECBQjess9Vh x75h6a+uv+qax5Z0I8ADa2+571FHnTjnhm/c8HinksVaMMAhgCgwE9e1nHBAJClWoKqIdQu3pP9k JhRRDJNjzYPtuPrpf6wYmtamPFanmmLT4KwhherKH5szU15Eyi5M14tzfW9C5hDEBmx9xK1MZ5rN XdpLYFTgsmMUQAjJVnQtXR0ygewQ38Jpp3xKMxpw8Y4fGRMz1zHGWIt1EFJ6WnjhxiVSkVezmzpn ZjDg3x6aQ1r5Sra0YPLUIbHmHaMGfGSrUazruWRBaIqu3Ow21SYL48COA7bz3gEii5BsHu0mqpIH Tn8IQaO3CBY6dHk2DUyoTkJOr6WGbX8ugoU00JhDJX2TizwFajpCmW8w6oSLlkTOipgjKWE6yWAi TLVY3/edOa4zKMWitPeC9Y2f8mAfM+raXmgaLUVsMaPb+cCiy0SEdMZLRUQc8tDSKodlol0Q2cfV OR/FUjDbpM5BkLFUMEXajpEZae8b2fDVuE1nmeyd2mwm25j6NS7d+cNqui4WswoKNn3dNeXudJhW weETqV67BvuE2yW/NB9geDHZOHq/Z/Uz59Qjl74RQ386inINMJ60kZ4EmiKeDrlgalb8/hRZ0Aad nwGWWhcFIsCnbJtkFbktNpVMtuHEVehpTyMg9osafr2oGLwItxjOZJT142Dugxv39TV8Hgb7tdNP YRme2j6E9yuu5Mh6jEZ1ipyeqwmEehqlxsfC76a/PYNhVz45XgPeFPDbU6WFoyr7pmLIqixui2kW srufE4tNurjQMN96I25wQy22YFDaqQPW9LBFHv/MEotrcghwbSU3kVfR8vCdS+cexjea5YbMCKB0 4BtzzdFtI21qA7y7S235detEjqUhcsThwVG3ptnCco+IfWZJOKyRgDRXwqfDI7+upyACpMcu7agA ZC+lbLWW84Zl0/l+NkUF8DV/JpAcB500j/NuoiL+FUr9htZmvrmfR8lg2yQrN8oFy1QSZgfsWi45 mZ9gdfcyHAu5albwsPUqCi+I0IMFvRXJvpH6OqHIcy6vGJJNHgS609Mz6lQg+OWCnEaPOWuWFwOd ZWQJ9/eM3PttchA25nGzIer5oAJid9Nbr+IPMuaaAytw05iYK0x2Oe9glc2cqPgBRoYirJNu7/Ih 6RqcDUtTz/KALQxIqMjpaNdiRp5rzWU+E6Mj1PYNM5cj0GgAMq1jMMdaZzEwU7WtF3pL58FkNihH JoIE1BhAkLNFqaBL5o6ssJCe/osxpZ4tqGcGh4LaPgpQytLWmnR4nIElzwF8eOxV0GxA/Ze7MqOs MBQfs5K9mlZZH7mdKO9LF0g68ujj3v3u0w86cN/R0ZEYo4VEzlLESdkkYP6JJ88/ocg+p+uoo49j 5q9c/kWnBsoHA4QCUQmmHIx3nXjyu044KcqGWwZjg/U3fOqpJ2+79db3vu+s4+efdM5Z7/v1r395 3oc/us+b/uWHP7jWcYDgkR624iCDX1bP3ny9p75/1gE3Po6N3/7Zyz9yzqPv+ugPf3jcG3+swWpr vbdd+u13/u6BVzhLJ5gdmDvrt6JGaIqNiJhGZr/57E/Pn/3Qo0u6+lDosjh7y/WeuvbMt9z4OG/y jv/38o+e++hxH/nDyipLI4zMevM5F7laDACt4X0+fsn8l7/20Xeee+9LHdDoyPCUKdJXSyggWjq0 tVGw0Tojs6cNvueQ1zz9wqrXzBlde8bg/U9i6nBraKCaO2t4961mnXbJ3Vb4leGtp628u456VCyw eiIPctowVcJleZksgLW6K9ffemJixRBPrNlu53Eg7Lj7OIB5/8ATL61goO50P/P99sff8dQWe677 pntv+Z/Z/5LBJH2IVKUcVqxLc1MhFqtXNjtxLaQ6xZ5SFUi6opbX8Ic1ElHXBq1JWPPExw946ycJ A5se95tv7XbZv77/2sURHEfmvnZgsHZtmwNAryo0LuahXY962zG3/fq3L86UoWWbVVzT74UOcfmb /RgJsbP86bjH29Yf+0rnFQoAuq21jt1y2ZOrRqg1iLQJtsEKVka5pol5YHj42cdeWjy2LaKd1pOq M2K3rA7KpsrgEELnmW9+4M2XLhhPnG0NTdto6NlHX1w8dduqyEJOzqJ0UmmMkblVJQOWQ1FXr149 MmXK5z73ucf+8djw8BCVLk1OluAIjoSKYx27aStqXGfWVCJa2q4YPDjYXm/tkVAhjm23+1sPesPG 01qv/OPPP/32bx5atSLO3e+sI8L1Nw0fesTuM+//xoU3zTvzuNGb7x7cdfv1Z0wbeOGWn/16yYb7 7bn5rOlT68fvuu67t7+AVfXcPT940ibXnvutFzfb69SjZt3x9/Z2W689Nja84u93/uxnf11OVWvK 2G5HHLrzputOHcDyBffd8O1fPzweuxLBJI+gAWkaheEeOMzcaP//59BdNhpr8ZpFd/7q29/78/hW /3r2sVO++W83TcyoqtaLm53+b1v/5KvXPPxy3OAN7z9lk2vP/fYLm+91zskbfe9Tv9h6/vzXjg5v cf4Z//Lcn75y8c0rAeaw4QGHvHPfbWYNdBb96abrfvL3V6oQhgZff+Tez3/9SzeMb3bIOR/dfCTW 7ZF437c+d9nlA+ef/vo/XfmHFWJ2kSNX9ebz37PnC9d9/htPVGO0zl77H7b/jutUqxf97fbnA4ja 7aoaaK0Z2nrnf3nz6zceay3/x72/vua2RR0TNnM1/prjznjD4us+/82Hwlb7nn3axt879/ol0+vZ r9/nkDftuHZYvejvtz8v+LoGG+5z6tFb3/HZb9/d7Yiq9Vm30MCSGQghpBDGLNvA2ubVymZBAI3N RZH7xMMu/FSFCwnzQwgVVSHom0IjE2J6e3HNNaf1DM6vtDKf57U/gZabBeSQlVLkyKoqxJG5G+uI CEKVNj8nzmhg4yl3aZNga+n2N8dMGgBJjAVI0lSZlRjAgLzmkuWvBYKWIM9nzdsv0DY5NaJ7QBux tiwVsOxeY6MHgEtcK+bIE2QaynFkeVsdMafjoQsuE9IWAklOR3lzoj4WR4A7uDxQyFFYuZdOY2IX 1ekI9RWBaZ5n8ZHG/onRXqUkgAan80KihJ82TGZCZAIzcUwDTkJJOW05aZs4hKqiqgpVYl/NNVOs 60hITbrJmAbHOQQDy8OCKdtAgUCRYwQiy+HmzImtTgQ2LwARhaiD1vNgMnOgi2kETcWIbtsz1swc 87Fw8jf9wwSm1KZqotMKJ1unTH3OgZBddOyKsj0ApQqm3RdulcsozvMQuUIZvpZBR0PLi1sqFpFI ZlxPtI9/ckOH1GffLNlcIWtx+p/cgBskZkobkz4AFuuqLqkeN2uXfCPlu2vTV7PZMFk3OtvLi/A6 jVbCKW/3zVGMaoDTCbIQy7K6jByyGzzBYFicARh5h4KxxRHN3BB7A9mdsiQEt169kZTPowpRbmlD nYLT16yi2qg91+bSna926V7M3KzqHns/q4x1a19QhW3I2YQIGFPZ/cBAPmeqD4H6DqUUx5VRdJH/ 81w1p+Dm1BaVIgsGaD6KbL0WutLTvv8hW2dhEsUuF5U6mWvP7RdiFvY3hGV8b1BQGJgrY6tP1kVJ fdGOLWkm/HcIpH0wkM6BI3tALjSekixQqkgAOZ22ZGzeSWa6kcube2TA3shMxYqiMdp5Yl3L57LP pk5kN9W0SpfnLhnMWfPLZ8Q96YwUCHBO6UKgywQC831uxDnfolUJ2bSUDMUqXcLNgyQjkOChPoNi YhTrZmp24+cCeiDJqLwEltmeE7lOFCRALIPnvC5o3rPIuvezob6XQbNVyNsUMtwTHGf7XD7pSHkr sWabi/MJGvkay/U3bcxxr9GxLU7aAxPlgAC3fyanxfuNXvaJlL9nBvRiRvF/406JJea/lRxrlI0z /RpvUChaWLxNjooq5Tf94hZ7m8OQm80spuVyUyTp8+V5/092Usk+WCqqb2F4RCIFA306njVNLFYQ bfLoVmjELEEIIdSRWbc5C6Zxlo1NlPKGCQnQKVQUCDEmXrBu6DEhMWtalUCgYFtjYqyTX0+vUEov 80nctKAIXKvJFzBDpUU3ZIK8tsr2o+VvNKFCkhQvNzzqnFmtyTn4vAld949kkRfbjsiyxynxoazT RpgPPfTtAHbaede93vimW275435v3v/2226xNLnw2daZCPLqITATX/qlL3z6Pz4N4JFHH7cxb77p xgCmjI6MjY3e9ed77f4uO27j+cZFQJM2kSGCTzzx5PknnMRmwoz933LQWR8878gj/vWJJxbccssf 99xzr1mzZ7/4wgt//vNdu+yya6vd7nY6nKHWAbV6h9QWg6fWD3zrojunjY3Ontl6/KZfPPbekzYc rdeeORWqkeNzjzx23t1X/eZ5tEY5e1G5VobXfeSa88OHDrnkyUFGe/DQr12z19fe9cE/rKmswyIK YaAzseq5R2/83Lt+v/iIa3abJ8Wmdu//5kV3Tp0yZcb01oIbf/HY+07ecGo9MbHDGVd9doefHv+B 77+wcnzV84/e+Lnjf7f4iGt320ik3602fee7Nv7LRefc8EScPnsmEclj3QAzt+wZ7ZXtuUbxXx9b +obXzp6//0ZLV3YAfPqEbe94aMmdDy+56HsPbb7B6GevfeiBp16xwmvaG1Qh6RTXzDGi3W7br5Fr Ofk5HRwLBrjbWTM6GhAnRmaPjy9vja+YvtaBh97wiWue+8ydrU63043dVWsWxJnj409ufuiWj//u FsxuLlZAjs2KQG3GU3fDdge/7fyDtnzN7KH40sM/uOLbn76lPvzz/z7/j+876ndzO+AJrPvZK46u P3z8J156XTVjs/ecfuAxr5sZXnromq9+99J7Wssnppz3xXes5F2W7wAAIABJREFUuOSn651x8mFz /nbKMddPPf7k8w7cdO02L33s95+94NobOnNyLGcOFwB4cOrMwam7gzA+MMTganSt6dM2ARCmb/Ke k9985A5rDa95/o6f/fCCn7ywqK7qbtju4Leef+AWQudXv3PJfYOdMHXfd77Vurvokz967tAzP7/n tNFdL/3V0me+c/Yn/7veNkzb+D2nGc3fu/Te1vLxkfO++I4Vl/xsvTNOOmzO30498qq7hjdwkUam UJgWuk/ffMvo4W/dKXzz5jgbCLN22HXDe35555aHjzKDuwDC9E0dzddd8JMXFtVh9cA2131u33Uq IAzPnr7quyed+h9Ldj3vqovmXXDUGQvfIF2oOdVd3u7gg50gvnXJvQPdUn4cu9M3231cv46Pj5z3 9fPmXXDUWS+8rkfW/a50Lqs6gyiJCgZwzLHHXvCpT/3XxRdffvllN998kzHBNthGOYWVYh0ZHLsx basj3bQDQlUFRK5p7S0Oe8frFlz26Usf7mx53Dnz37XskktvWga05+xx2KY//vrHrn9+FQ1sslF7 7V13fPk/Pv/xZ7HBgR87/8jj//rd/7jgey+35x1x4dkHbvXgtx9YDYT08DuB2rNe99oXPnvxx5+Z GN3m5P84aY8/P/LrZycw/tzDf/jxLZf9Y0lY+80fOfeAf7nnoR8uNQB1KRVFLLJYa9Vabzn8dS/+ 8BOf/fv4yIz116qWdltTAwFVq6IaEZHSY32RYzQyKBAIyx770Vd/ucUn9rr1wot+t4SqanAKgwY3 2SlcdvFZV61ea7fTP3bEvnc98uPnXg6vOXz7xTd+YeHwPh85bPRn//mpO14Yfv2ZH9tp2pTwj7vv mThys9Gb73qFGODIWDHzgFP3iX+8/DtPtkdjtcEeRxy00V//6/yLFoyv96b5Z+3UfgZE4LDOJgcd +roFl1102aOdLY45e/7RK6+64vedBEq0YsYB7967vuXyq59uT22hCkAIoRPm7PL2/Tb+6xc++bPH V6+3z7vO3LH9NAB0Vi9Z+MjD4ZnlnTiEYCe4sro9CS58ntRFej7gkkmvC7nIl/OG5C7SqDsheE7+ pabSErcsdAPMnHKnAaFKa+dR3zzBRC4rQi6UJluxh70rroh486YNloXx5IwrS5RKEKQr6+Web0jQ YTOL3C1ptRSN5CokQZUlg1iCCrXEYt6lIaNFdDlYUL6xZ3S/Z5xhHAk5qGJ4RmiMKeSkGvYpMkM2 MpNjHZSjHNO+9EgMxBjrWNd1HaO8azGEUFVpG7Fl3t0UpjdSlxjOjh/JhkxEDNZoV6UHZYcyNAeH KnF93ryQnIyWYwSIKSBYmEs6EU2nzRMCMUV5yy5x3tlNaiyNUbCCYoqWCZCMddQlPzlS2pSsrG+Z g4CQE03StO02FV5qZkF1XUbm97yYHhkckk2WTBJqB16fC/PVBZkeu9YI2YXFWcN6Ga+ToR6m6eB7 b+aIvWwpVyjG49Keni4/vYOj2WlP8a0gqxfEYJjTvOm3aufqPWlF9kWSt4UPrL2mv9rV2ELJJU1+ 1AK0do9l+mv8cqwQ7SqGms3Np2n98wTJXP3P+T89pEo0zHSkwGSn7R5tXp0DgCka+x77VOvPorId KunOH5RW6td+j+I0gIFtMyP1r6GF7MFjI06fglG2MPQFCMpanZ0CCpiw3aXaJ/c8CqDg79lQ/gzz DJkByFzs/a+s2hxcz2hTmiAbNxeaIPGAV8I0gmbjxjYPO0WBSajM5Bcwa6FikakRBUeOm50sBXhV MTLZJIvDuhlH49KAYM/EFOjt9Ms/7FLgt3GETANQ8pyFu2Bdgy3s2bHUN9dki9MJU333ew8yWbok d2DbjV17hlWGeOR3TTbysy69Wyief6Qyy0payj+kfL/ys8lKz8k+A7Ov5uybnIKBJbyb4p5P5Er6 dQAjSRSYSFaN/QOjjphXuRxy9Vd41ixAMQyHK+mTj3UL7aNii5rH6BT2NjrzVNgKAfTggWIlJS/a WeWCNjc40gaBZlxQiscZTx9e/JMrd18sBZUteYi3KAql1HogtUDhjBLIBlzu0pclYwmA09Qneq3q oZy1qZI6++OZSbp3B/DC1ei2sHrkFRghmtPyi3ocOGMwHc+RaOH+xMpZFcUV13HpLiAz+xTAyKxP n0wk3SFADk+sIdYxanY4ckQXISRTUDBPR6PrU5yOfG+pjXCWbXj5e2N5V/LgAuSWw1afl1gWPcMc NsmMUMpnvsiUtGJEfYMWM1zIllxNTgEzA4ix3mnn3fbYc+8Y4513/inzyKNgT6CdVG/a2OjY2Cjr o/Cp4pw5a8uw3f2CO+QNP7P0j7fe5UWtbWB8fGJkZORNb9rv+uu/f+Nvf/PGN+697Xbb/+6mGx9+ 6KE3vGGPDdbfcMGCx9DAneJZ0Ex0q13NnjU9cX5siz3nrbz32sWaxAUiTdvu2AOHfn3m3asHMChA YuzPkxMKiasGzqWnJFM2ZrTbWHn/jQ8Ojs7SokyoWtWM6WNpyj+25Z7zVt5zzeLYHX/h4Tv/1H1k ac3cHgir7r/xgYEpsxVnidGdsf2u05///db/9qWP7jK3/cqCG7/65W/d/pwcC8LBFG4iTDVurztz CMDIUGvOrGEAu28968zDN7v6I7v9+/GvPeT1c/76WPECyk41SkRVQKsKrSpUgVroVtxtcaeNLqeT oGV7tCQnqrpuDVBrCGtWhqHt5w68blqr/UBVVeMdXjM+vvLZRcz0xLPUxuIpeGms9nNQf4nU7arH lz36p//52AlHvGanQw7+XvuIM964w/CKX17z0Dpv22/DuJyZB9fffo/undc+MRJpxhEffMebHvzP PXY78PUXPL7fB489dMpLHCMG5s1/79Z3nj9/6zddcOuMt3xs7+fOf+sBG+769kMv+OEfnnwxbflC rFn+xKgfOEa5iYRBkWNd89gx57x97wcufuNu+29yyH/9dYcTL953+UCs6zUvP3r7TzKdp++1Vf1y nL2L7+7mRx+86XMXXLqg8+AlZ+xywFlfejLUceyIszzNxxw68hJHxsC8+e/dSmheHZgjl1RF+Vxz rAHixb+/bvEWR265hmLd7Qy95a1jf/zBgxNVYESOseZpJc3vvnjfFQMxjj/63YMOOHLnA0447IpH X3ni19c93ZJFudaQ5FGcSHoEsfdWcdmryy639r+7JOPCCZ0QRcMiM1955ZXrzZmzcuXKbrdb12n/ YnRpPlYI47qOdTfGWg5dSosolqGrY3fFyGv3WHfRH3//yOg6Y/zMn+5eNW/bDdsVgYhf/t2PHn4l zpwxbXB4kLhedOufeWz67NHxRxeO4/FbnuwOz11r5PkHn49j6w3Ernd6hPq5W+7sTh+bs177mUde opnrDNT1yHAIzz20vDU0b960lx9+YOnQ2sOxG6oAIASiUGyJ5bxNhIgwsXzR0oHX7LLrpttuOGVg 9bKBmdNaraCelvWREA84guyhqmbPGk14tMHcWbNmTgWBEBfd9Otlw6MbzqEH/rY4zFp3MMaJaZuv v/zvz8YZa20+bckd97VnzRqdue5wd0UXoRVQg2KdDtjprh7d8/DDXvPk1ZfftXqgPdAen/La7cee /P0tT0xde9aUFX+/6YFODTBjWXurN6yz8PZb/jFz/bVo4Z13r5y3xdpVAIO7K6e84ZBDNnr6e1/9 y5qhwaG2Eb1qZKvtx5685banpq23zujK+256oK5BAI20l/31uq//agFzCBY3M2AHkbiwg31UCGNp 5o+fwmiIyWUpX5R8BUuIlFENhUCV7ZuFZqxCyk2HIDtGZHbF6oesA/I79cyb+BgnzzcYLI8FRBAC UZXW1ylIBjFF7JoU4mZDbnw5Yjfm5aEnRx6ghwG71LYGCQL2esMCmmSkkdHkaiJPVkY4RTikHLOO dRwU/Cwr5851+uCibGNO6lzRQElIoSBDjkJW0KzrGNMfZgY4gKqQUtBVRVVIuX0KlBcY0nfLT0si 2Aro0cnBKaBNY/TKLGlGsRZcschZxJeURqfoAvpcSMAaJ6kZ4QpZbOjVwWmI42G6GTnWXNexlkfe kgpyIBOZhj3ZopjS2d8pTOV8MxVRvXAks4SCcihewSEnawt10m/6hYjIv6OqmZRRncOkF1k9k8f/ +eIiBCb3bzGIZs+5GPfct5a5qTZ9SKTiX2ekk1Cr1gtzN6+SMdZUL5eDeBWW9qWx8StzsVOsWHb1 WkBCgZ8B2ujMPbovFon3wB3nEau6kC5RpGUX07WS2J4cmN8jb0z02Rtn1JPwycyxQGeevAJ6pU/u z6TdZdAov3ocYN9Y304nIyZfDccFUCAJaoIgpC2YUS7e04JhnVta8oWo0BoPn9oIwXmKSa9+v3Oj QXZuyf9IRc6ORZCFpgHQ9YpUI4+tOVwftnFDJOYoemTTByltwknUwycjLwcZKL+XLJNVQ/EYGovL sYdOek1zYfc3k9TnKlCONJXtgn7kRIO5wpJjZVP/BPUaRGYxq+F5fpkxciH3bK2AJqJeBRJ9OAVA h5bZQ7a85ipNNoQye9e7ZJ/H1vhUPGmlbZm/VkToaw+9VBWqY77GBsJeZzK3ev2W3DFF6j2lpNG3 NwYlRZHEuQDyS7nNJlkLKb0lF12E0axV4myPOyg4goImjVUz68Q+/R+LqfMcgJrqUYYFhQ47Ny67 0YviKc+ZaaLyB73jFdMZBeU7fe3OWGbJMLvtfHFWDMo/cBaJVXQMNvj3PLK+C22iYsistVw+WZW8 MGdjnfM3avIe0TVsBaIeuOExVWzIKJI5oIvFKM12KBLJ6+idnmh/vZzVvjXPU8eYUh1uMuBOz4Fh sk9Ier5QwdceR+w8mPrhpBUW0ZCXmvEohxSOIRbmuwAqTZOqKgRTGrduxI6TafvgjjvtmrLPMcb3 v/+ss84675RT3yuJ46zGznlKXxmZiKjWy2WiASC6qxy/Q8o0Pi4Ka6IJYNx15x0xxg3nbQRg0cKn Y4yzZ61FhJdeejHGOHVszDVVyjdnFRy4EgDUo7ufevZOj3350vs6bSs+MXO/d++86AfffygODoCK zc9ctFoMoUgqZCFkYkZGhlstPb1Cf05KW099/Wnn7vzopV++b2JgMCz62ac/dNnty2MIBEwZGW5V le+WRudMH9z09a0fnXf4fgcc/bn7dvnYeftPbykPW6EZk2B4sNpvx3XQ76oq2nnzmdd9/PUXXP3g J/77/sw2baOqCMzL12R9HR2kKAnKiM4qjh3UnbrTBQ9Uw3TXb18Ot0XGlBAWv3frfxu+9z7iiO6a VeM0d/DeoYE1a4afpxq86sUGJdwZAANxDa960TprAUvueXzF6FrT5w4v+OOfnjt52+lrnn359h/f evapB49d95/PbbDtm7dc/duPPtRp1+313rnxU1eeeefE2putuPuGXy77/Fs3euHqRdMo8FPfu/yn iwbaMzdY/fJTi4cPOni/rRbcvmbhwmXV0LRq1Qu9PGn6sjAB1Dy+jPmFOOO1b1//8Uu/ddfE2ptN 6bz0tSsfO/G9O6z/o5sew/CSexZ4OseWP7m6++ji4QNzdzM2nIqZBCBOzFh/0xrottftoXnx1YvG PM0A8cpJieTOADFC5/GfXrfwlEM3n33HIwtnbP32kVvP/dvS44nRXcmrXowztulL85pZ6wKI03b6 3BnTrz3jG4/R+jy+HGB0V/R+aGFNQxBjK57ial0nu/YGJ37lluNrALzsj6ced/nt2FIa6ZF134uG ZkiYQfkRkpRk/sAHzpw//4Rvfeu/lyx5aWhoyFBVD9/gGCOBKFDdZdQxZZVAIdZ1zBkQriqKQ7Om VPMO/vAlaft2aMWXRtoVEaGz8uXxgeEpIQRiYqrXrI6hNYAOx7qeWL0mVCEyAjGHIKefwzx5vWZN 3R4YIkpbkUPs1rE9dd3dDt57u3nTqdttzZpZLWy1W21uJSOWswJQTWz/no8dvkEb6C74zpevuntF q0VEU1656bLLVhz0tlOOP3D5gj9c//v7nrMzcJJzJPUbzYjF0J3QaldtpqoOQL1mZd0eGq4CiCFv 2a2G2hMrOugse7Ez9pp1pixegy23WWvgpZFWe/o2Ww/946qVrVYgYpq61TsPq/DUjSs7QyNTY5fr gWnD9Str0A6BRkcHVi5ZFcfA4InWtCnVvAPO+bwxdulQi5mYpm5x+L9WeOoPq7tTxkbrDlOl4Dsw Nly/spraIJ4yZXDFkpVxDARqt6q1Zs3gIs3kRkduN4p3H8hho/CAUWK3C124J7DXBfKor6DwvzHr rlFQ0OSkRW8J+lnejByYZFNzZCZmilETKZwDcV12ZqT147yoYKmSNPNRYjiEKoRQkb7gwsW3Xhc4 xQuZH5bDITEumYZIAMO2/4mgiWhrymWLNPlvbo4REd0GohDyPh+TjfSWw+4Askygzg0ocTi9hLSU ibBfic7tCm0cmYKeDpy24uUdE8wcUaetBDFyHWNavQIjgKpQVaGy/DKaV5YZPMeV1Vl9iMFBJwPK Mf+iYxOLBL6Uo1DNouYJj+Mvc3qvJzMhBr8JIsmRgZgYkTLIXNf5iUt59M+OgVGOurytZulkmYNz ttdHNW7xHUgIRGos7geyYRCYmTTKJ3d8hgT/DuCVwcUzea5vm+ARwAjphVGpJTKmmVKUQ/R8t0+u z3TLGnEzb/KVXS+uaoZa/VakpZrA3GjArLNQ6l7M8l24L0JXoVr+d997M5zp7QA6mXHfinZcFeGz T/5TURB9B21Q7jyVK0b+b16AEL2zd5VlU7QBErtjYSlrrksEZE5R3l6XzhfQ2MAmUYoqTaZBdYX9 d5Sj6tESVvxr/ty/+cwLJZ6hj1YkCG2qcZO+3BCXJ2c4WntILH4nb/yeMBsuGS3msHL21tIQ6XQj YWzumlx7Pmng6DAnwm5nn4iYiifKzX4bDGmWciaXW+thJBcffOem7azpD25ULg6PIMsMaTOTGmi/ 7h291LwvfTVsFc7t6kOB3j5TdKJho4M+/T8Nh5l17zpzer2t02yRHJU9Kydtf3TTkfZzrM7iNMaY BCcLOSVuUPlzT5Lf1dezQ/2PLAx0X50WGo71TvqpLJBDHd3b7o+JYek+EdwTaGqz9jABZ06ipC6X 6zvG5s2imDWmlpPPJeDe+j2GlZniB6D2bTzpxco+6FaSSZOU0erCjn7DJQLHBj0M4VCfaUHurLjH JQWZ+f57rmXLFE31L1TXOKm2gtyqA5OMkg1oMIPyPJ0Mivsx0LyGr5LdZUE8F9Kj/NSZRvjsvGzu 1jKsDLBGaF5WpO9Z168CUE4ZVbxOVNTkIinpfiiOII/WxDoYa6qYh7hglcSBgeSxPzFrzmvuzOl0 PpsEsRMZaUOpVuF+2B6LEcanuc3/x96bx11WFAfDVd33Pvs8zzyzDwyyo4LKooZEjfsa9wASIyoR l7ghqIlrjNHEV6NJjBJjNCCOyCIqiiICCq6ooIJAQEB2ZgYYZp95tntO1/dHLV197h0kb+Iv35vf KWXmzr3ndFdX197V3QGg5h4gkdRQKdm14dwglwvXiQIm0vxg4G/tHec768Q5E2RrpLtfaspKwHhW qY2mb0S7kW/GFGN+P5/nREoPGRaXgDOdUmLTlG96cRgRPff5L3r8E57k+f6qq375sY9++KlPfUZm CCiEiaUeHEugHCftRypDaFZAc+Ie3XTJiVFY2vICZmZ2EtHU1GIE6PV6RDQ8PAwAc3OzRDQ6Olpg iYW5begUBAiI9dgRx37w5EMuPvntl23F0VHtdnyfP37JQ67+yGWbOzDEPNHnHBTgbyIpfsz+6iCt aEtzafzRf/qhtx180clvu2wrjox2iKYmJ5rUct0RYJi5/NQzr+xNTE3WN371W/ce84SDJr515RZA IOzwZYCAOJR2zMdpADh478mp8S7sHhDxpBcf+LdnXN+rCQC6tBMQkwWFAbvdjhtiFSSyTcrtFLqx Nw/dcdj/Yct2bNi6ZXa2ml/2ies+OPWi/X/V2+dfbnlUNTP3qL1nw+xt2381l3B4gGiYn1qknMaO OObP3/jMg1aE+aq7ak33DqQ0lO467fudjz9r+Se+sOLYx8588w031yMH4viyJd0DP/C1b76XAAC7 I3TjOAYioIWNG+Y64ysAIGy8+KWv2fr2t7znwjft+M7a0z78rfvlSAToLH7yG779toeOAMxc/Q8v esev7hta1ESMP4xOT9ZbN9EEAsbu8MLWLQtTey7qzUB3ST+eYeNFL33NFt/dffPk23wwOOvDu8FQ dC5t+P63bn7jC5488cEfP+1xnYvf+5uwkqfqgXDujCSYes4bj159/jvfeMdEmBqGqkgUFB9gtH+A BWWgd8/Z73jJaXcuAFA1M1uNwbhr5MEAJdHYmoYmkjTK9u3bP/axjw4NDQ0NDfV6ve9+9zJ76WlP fYpEjnxsE1VchMrqJKA7xhGh0wk0s3m2uunrf/2xK3ZJOiMlmpxeDgDAN9bqzW0aBomlSQRJLrRV 4+NcPCRAPZSIFfD26Re85hmjl338/3xvQw8ecux73rRn7ASUazvNY6+3/uCfPvCLbgBMvR2dONwF QMSJ8W5v25UXfPbyC/d4ystfd8LT73n/2rtrShgg1TWlFIcmRyKCWZi8BIoIBCy5IcQQKXYjyIag QOoPhABp5727JtZMD916wzfPvvJlrzru1XMbr73glPOOOPrP3/6E9d/74tkbYNE01IDYW3f2X5+z 6qSTjn36hjN/vC4Fmt06G/ce7wJBQoChRSN8VWG1c+NsddMFH/z4lbtsgZaWrFqF2Ntw7vvPWXXy W456yn1f+en6iFzWjAgwt2027jkhmiloU2YVvJNhfKYOk7gezY3DPgdq35KG495zRrU51h9beZLM mXlt6N1TdgiCletmZ4oQMEFACc+5GUiUkFAXgRHtCjkAIOALY4F415YbnNhGTMTLr4DAddf5KDFn FcRjdCwpQ9EfwWqGipAsG0eROG9n3OgxBKRUbKvWHKL8DwFUduz8MHPWULPt2Vc1vy2EaAloAsCk EZu6VUY50glS7G2ESU/wsKrwQs0SJTubQhL9CEHWEayKWVwo0pSt1jUoK+VthwUdM8ndP8yTg9Bw otVRI7CdbZlxbV5s0AR5Iygl4IOviIhYs1FCQoBEPMYEukziM8OGqey1Q0B3oId4hTkZJxl8Vwaj Kw9EiMjrJN4jyjwLqFozOB+XZcnTx6+OZGp559LoYBMhU0IJpObbZlmdUA30y1UQwxxcs8WXVkeh aLg1ACcl5F6m/LW0VXp3JahTauPLb1Lp2xmz9bVG5bgsqaGj8K+UQ1UJ9DFPwx67ZK31h1J5QXn4 ux9gSZhBv+cZRwBS7mI1XByzyI0EXcnICFGjQSjlTpWNrZ8V/3kl4mhjNNS21NjbzwOo1TfQ3c+8 /V4w5G6IVPxsxsZUhC4RyqDNcBWhgXBJP1aOTA80k1BwkpfOBk/uLtUjqjFnzAnAaaM+xvMmyI27 v+2BmGaNwSYpK0+luV0YUPTpw+iyE4Ss6HO0LXxrCPIfugYG6OesbzDQPx85pQjaUT/gQKKp15JN nJECVYOT2lAsZhLLjdY2MpXw7D8A7j4KLweq2GDODmU2GJh4JZM08x/cr0poSViJmsBMaTcc8A4T NUhVqmQq5rCwWfqrJmd1OPx9bpaUrx1PFB3ZGju4WfL0QgjERr9f5zXEqOCnPgXvBmnW0p/70lSV pjKEWfuOcuqf6QaHIWUiO7O9G6Qay14DxBjd+W++G50KtxZctDNItaH7LT+CBRLeJLrVITeWoiP9 TuaV7DsCPSa9bLVkSJYyZfe+BQhyHio1kEQUAhLZyR99FMiM1ZwAx0zY9zU0n+RErMlg6Zhk45qH qWFCoUBsqhzNxZGW0MgOnckdEOgVH2JyVR8oMt4IA4kdkfnIc81MVBhpd5iFya8253SasTCBeNRg TgAfg8HJY3X2+5mJW/dTQAQIcilNCP4NTCkR6L5Y6TCneZUj3dloEoFiAC1304VozXboyAxxeS2r VRfrmkopWKiYdl0jUNF3k5Of1qguJ29LZ1sTGwjmhWHABIGrtRJo+sRrcyI688wvXHjhtwFg3332 /ZsP/N0dd9y+9vOf41M1PNHVexRFZJrNiqPKRHPOczcS0K6yRYJ1dKI64LwOAACYnl6SUtq8eRMA Tk1NpZS2btsKAKOjoymlHTt25PnOk2+2KY+DJakaO/zYD7zzcVf85Vs/fyONj5t8LEz8/gnP6F1y 8k9mukMDBJeRT0QUIu8Ph86i5ROxeERntKHZS2XCcW89fvif/O27Hvezd5z8+V/D2ASYbBdWxGlE hLTllvvCk/eYGrlhBrHT6Qx3qKp6dYIQCKiDIrE0Vq3jBPRey0YHEjQjRrT2O3f09Gq90YW7G7Z2 pMNXgopejQERobJLCCnNdkd37ay6I7h89Wy1IyxZFcPo/MjQ/H/cee9+V9+2ZXTFyuH73/fcy9Lm evPt22+dnwLqn2O7+C7/hPs8/9N/Pv2Jl77q1Btnhg55yw/OOBgoDY3Eq86+tPfxPzr0x6NHbrvo +A1jMJF6W+/ZOnfte5/5uq9typSb2GtfVifc5siiqfm7r3zPq7/14Ye+8DOnvvM9N5/wlzdOEwDA wh3nvPVJFw4jhjS/ZbazKnb7j4xJQKnaes/W+OhVYwBVAsDRZUuGtl+7rUp4wAA8+7s76dox0qYA 4MHgrLA7DFmgU9z1H2tvePXrn/zQfZ/aO/+k9XX3IfLr7nGGCFNHHv2uvS7587+4sZ48ACyhPOgD 7j1ggA7DBAC9HRtncHIeALqTYaQDViY/YK4HASUgCGr1WYrZusQYhoeH+Ze6ro888vfspdGRETAT QhBDiDHKkQUEANDtdGKMIKoGutt+efnGJ//Rc49Iv7hre5zE8cmw4aZ1c2aguAjTbK4rhiM5rJUA KEFSja5uuxkXAMAQOgthbDjtXKjDnnvvP3HkEYvjvYU67nQvAAAgAElEQVSd0z6WjiNABQixOxJj iDGEGGdHVh8wct/WRSP3zty3aT6uSVUHtq/fNXbww/YavXLLxuFDnnPoeNgkh98CsBSqoaW5nXNh bOV0585dgBijeJ2IIJcjAGCAoW3XXB2OO3LVjzauv+Xif/vgBb1qeLgb8Nf/8JO5bjcuXjzR5aVL qnszO++77HOXPOKtL3jMr0+9fDNsvuaanU/6g0fvcefV27ZPHPK8R47E9UBE3e1X/eT+Jz7r2YdW v1y3FSe6k0u7G29ZVwFQXc3ObPnh2ksOPvHZh/76rKu27eoEAMCAne3XXrPz8UcevvKua+a2jB/8 R48cjusBAHq07MBnPHn/m7506e1UK/0rWHbQs56636/PueSWanb5U1/8hIXrv/mDW+rpFU98/uO2 n3/xNbMLyhI5ggA169lW8QMEIJEYGr9J6llsuNd/IM6luLVBHSvljD73F5CdUa6A1rhQ8n86+8Lf AZDLXJnHzGxDcTsPoN6kDFDkkjIO5vxBdnGMh1H925xMF1+BXL9qYXzriAF4Md6cNoC8ho16Q7A6 epQpk2v29Oo8NI9UH9AtbNqg0dEZcXVlc7xpdCJxduSYNfUU9enSEeC/+YLKEJFPTseAzoHRP9V3 c8aYfEN58smmK9tu1x3YOZnGUG4k5p7n1QzlDMn9E5pLmAhQyjOICLBG4hUtMc3qUFn/KO05hcPZ Z6GTVTEK34NSLHuH2bt1/nbG2DtIKDd3B15LSAgAcs8qJEqS5He5H1WWOePTvwBiCw+o/GsnGLMM q4bmiM1r1jw5MpHCZRpTZDb3H1Cnwf5J/tc8wUKZ0sNztMgNZhfaK3+EwS97PQDlM/5xk87iG5+c 0nCtyOjzk+a3Q5mUKfr0a332lX2h32LxgAm+dKM09jw4mGLF+DMyqO+7f+WGCtoUXj/m7A7mTBiC YzVylLCwDQByrkGp4JVmTgmXvNY/Qm0f/fj7wJSnn6U+9e7p5tP5A2F3nWXbpAMr3gEVR8/mWa/b U26YffKKFrViVuVZpTtF2OzbJto11VSV4Br2o8Ks21gFgmRgOconapQQ+YF5pdxgJye4vlsv1pzq zVjn3Ez/JDQTc14ZOAo0CcPmTj707Y9wbCcL2flZzK3YnjEqh1l0rD/bwhw00W0i6NQllLi57HOh lEXWWMKooJW3sbuhRIHTA+uRPH1N/GVqvQX3pKIBeBRDIz01lcVWzoAzNwsAuJ6gQByaxq38HYvZ R12Ob7xWvEIl8oPU+KDvQP3QPEbZRNK8GsC2+5cdJpfFK3V1BkfSJhkGmDPKpqIhO+gIBMrTRhf2 JZ1alCf9moa3ttCQctcWUZn0VgWsx5eoikbIPoXvVW2N13slWtB4xSHEprhvVfi3mMqsHpU2pgQb zkVDb0r2rlj5MaWtT/XZN9UP4mbnhW9kR5UDh0xDHSSiJk61WRt+KcwkoZeOKJsgGuCJFDiq2jWL LtFcaoxfnuf5kWesW0A9rzilVPPxoVw6RMKiZQWPEdPOheTsgd3Ch/IugJ6aaak9TnFrjbQYRkHL Ex11/CBFZbqtkLPXzq0g96cluXVyEQEguPS71TpR0W/mYtaBuonKOeg6p6rwCORCRQC9SdgpKHU1 JFwOGAgTcdNeERBNTk48+ojDAOB5z3/xfffdd8op/7x69cp1626XqNCxpQeNrEEnvj93LN0U36ME WbYhDhEpKTXJr1NYRwAARxzxGCK6+eabAGCfffcjorvuvJOAli1bRkRbt27N/VlX+odNEBumeuyw l3zg3X/4y/e8Y+1NQ0uWJKJU93o9AOgsfdZxj17/xRNuTTgcdCqUu5UCodr0m80TxzzxYVO337Zl 6ROOe9rieHdBG4KhyRVLhrbft3k+6Xs2qiyk9dhhL/nb9/zhL97zl5+/cWh6KQCken6m3usZJ776 oT/96Gd/uqMya4hKKQDY+L0v33jC6//8yTd88ifrp/7g5S+Y/vWn/2MGAz/bAUBeaJiavX7L8CPs rd3Blp0Lf/W56z51/i32zfTC9SCKgDfRwY5Zmz+aHA2IgCHIJYSUgNLt4ytW3HT/vlQvf0h31UFD 1UL9q59Rb34CYPtr6YWHda98/dM3TcxVM1tnbrpg2f1L9hyQlORTx2J3qMvZfKp6dRqaGKt3bpob XrzfY37vJU9ZPbRRou113z9321+/5fWd+7/+mfVDU0CJ7rn8y3e9+KQ3PO3OL91zF02sXDUd77z+ lsosSQLAMLX0sCX065GJnVvvu2smrEy7gKa484npFTM8QSMTodMt0FN3CSile3567m1//Gd/vN9P zt2xeXTfl79i/7sv+NidNAID8IQwuaTRHdLc/btw6f7LRn9MO+veg8A5w2AMdcPd0Ah976zrPvQP 79z71596/v1jMJyz+bvBeTiNHfz+N+9xwdveff3ongEsB8FvNT7AoAE6DBWN2OnmpRhtpKbpo9/8 ooMu/8zHftEJ+zzt715SnfPP3/75/LLfP+7YF236wt98a35OPF6tL2YNF9UhJCJNTBMRYhgZGbbg FoMUSgMAInSHImCAGlNVA0KM2BmKuhpJGMLU2NYfn3rayDFHH/PmZcNA8+t/dN5p160PZk/ckEvw 1i+ZqTRFSljVKeqyJwakW7/5rduOf947/gl33Hn1Jd+6bscRep4TIJeUElCCbozmXcVuCDGmRLtG Dv3D45+w1xhCtXXdL7543q0LQ+Obfvblix/+spNe8/h617orLr7kloMPh+SKVyS1TRDD3I3f/uHG 49/+usfe87N//dBFvdWMUuRVIyAACDFMjt9/6dlXveH41z3ne9/4+W82bllIFY1PrN5/9c5f3rIF CZGIWI0g4pKx+y/74iWPOvHPnnjjRy+YXf+tz56/+JVvedMzcebuKy79/p0HH0iU6qnRzT869bTh o4866o1M2B9//fRfQUdaWDa56Qdnf+eRbzj+8bf94zc3BgQICBPdDRedesH0cSe+7ukwc/eVl35/ 3cEHAgDtWuiu2G//Pe4hSrx2CggwszC0Yr8D9tgAKdGuodUHHIi31hfNLyxd9JAD9900Qr/cAZ0O 05HItkVSzl24pX5R5c5CspbjxFmiRFSrS4r2rBpz8bS87yTtJDGGAYWApFPDhp6LiSNzDeZuJasM qXTIkg5Ass+cMOVZtrwnv+ucc0TOXCcRi8BuejAPG1U4M58X5kH9DfG2iACyKwXFEor6obnkgD0b O5hbxgxSjoUuFrB1HhL/VxP1spUNbOqUxiDeDxhy+oZlnhFyDjpXvhGfyk0xEEANCWKQo7r5GJXC tzEsyNrxhMoZT3WK3O8+/2BF7sK/WmMFSFKWJ964z3UoodSp57p66Y+AZzXxwdYAECoAHQToAdYA wNY5+4LmWqFMLzMwaq2E6o8y+8zMmZwrz3zMLBAp6G1+2gtnt1FKjIh0QdviH0LNTIi28gPPzAfs aqsj79jTBVeyly//2yIDrasSxvJCZbTMnqLwr7E3YydZx/wQOpGxBs0vRs8FwhJeqLDxD1Lr2O+Y mXIy9m8cS6MEySpAHGa0OEE7JCjx8mij4Ymu0f7nyhBHPvXxeWMMio9+Nrp5YRnUH6rTSdZ/SUss MM05buVa5m7SASGyqbERFtLmQgOElEwzmV3Vb+z5LBw5XYP6KJXPqs2Q2aSBeehG3kHnVH4h5WH/ K2C5xaHJlTrWRleNjIaIv43QGUVPngYjlx2RHmoiC6uIKXct0bJqRcxV667tUkJNt1MeBqrNEZTd iBULQvQhDqkRIEAIlJ3UJvo24tw7gZGlSXVtwr2f2cEazjyPxWDzGqMYLPOPC+nIA/LDkT/zQVaN F4REqk6F090u8jy6jDt4lkBJo1C+dFHMkE84NsBRwgaVJ1B1PdoZF7I0DsjHPQ1o0HAsSMKxqGUz ROtlvtDG+/RkmfN386+qyTYMqZSV2smXFXtlwzpN5N5OrTEHK4QkoXHukDUGmh1s0tDLcDlNhRkv fxarZObaY2ujz+5clq2+YRFA6ek4xeq+FpWUXYsBCKuL6uRBH0LVuKq8SBSnlj6DKlZbv2iOXm6e ELz7bQjIrjPMdNdm3NIhIlsaHVNfhoT513LwBcHAsyNANiheLncnM07wHUeXlEI1J0aEQkeBmuVs C0v/AvJ3PBemeP1yc7Z9xWvQR1zHxRiQAmLtxooIdoG37VRovImsX8hzmLcyoi2SeLg6aAtrPfTL ubCwmBuLkPLITTyahhIJQPaYcmYBRaukRMHvEtTJQqfgcySjU66JCC521vQ1gVzNYv42x4OqtI2Q eT4tcQ0iDxrwsU+Q1HcsYjptXI5sJNE3aIoJNTFY2FgbAtcCqYpi7DDj5i8bIuA9lAQBgIJdxgUA QIkAAUKQkNd5RspCQCSn+PLUWHZ4+YqVq1au/sjff2jF8mUxBtSfvB+gNkJ89iTSItO+m+JlrOs6 /4MHy9tf83xg0uXbQx5+EACc8JrXnnzy2zKLESSibdu2fu+y7xLQE5/45NnZ2euvv5YIDjjgoLm5 uXXr7nYM2VQpWZgICEN9yCtffsAEHPDPZ75EftjxjVe9+tN3bx8+9JVHTV354Qs3d4aV+OQbYW+m C+u+9pG1R37gU2ccXW+96dunf/5Xj32qCBE/ODv6hA+ddtLOv3jOR349pO+jWmJ2BxAI60cc//ID FsEBnzj72IzGsZ+e2O/wxxxyR1fmr2GtEMe6Wy949ztXvvcvPv71D4wubPjFl971t9/dkkbH+ZlO kmASFs9d162f2YuLr/rNlqpOnVhcMAsAu+aqT3/jlo+ee+O9W+bty269bXLm2kTAAT4LVbfrT/Co +bYRhHxZ3XeXP3zp9RfjTSMTS0ZixNBdOOLp8bYtnfu3z52Jax+yojc9v2zT9fUNl/fui7M/WXLA oEUGIuiuedVpP3wVf7HtS8e/5F1Xnvbxq/7qo9/6Jm26+aufPuOyjU9hvTQ0NPOVL29+67viB966 se7sB0RDwzP/8ob3j7z/zWd9dc0Y0NZfn//OE7//G9xPeZUAoFr06Pd89EUHT4Y0t/FX3/zYX165 kCYFjRC7DWTcZ9A2aGh417++6W8m/+4vLvj6quHexl+e9+HXnHZXb3q/nYPw7O8Ox+a+c8p5J/zj v/7oBXd87lXH/2Pa97fibDAQQxN7DLjt6gt+OPPYlV+69N7hxaqAYfc4H7jkcc992uIV2z925rMI AWZ+/J7XvuPWpebvlR9o+24mws1d8QEgNzI/jw874rDDbp2DeqQe3fMPHjvyveqM+bnFez7i0CPv Pht7W6k7CrxEBwBAvC0+xqAD5LI/0UMxBtve4ohAQBAi55QwIAIlRAwRQ4Bq3Zf/7m29ifHhJdPQ 7caV4Y4frH3/d3t1XVO3GyfGh6F3+1fe8YaAYfXyUSLC3q1fe/eJALhy2QjCwq3/fuJbCZZPT0aC uWv+8aRraMWy6Yh3fvVdb8II09O3nveeN2IIq1Z0EdP2H/3N2y+PK1dOLx7ZePnn3nfp3HwIEGOo fnjposnRbrztvHe/ERH3WDFKiRLZEfsUAnY6kYgSVZ07vvSJvzorUUKE0dGh6enxGHBiyyX//rdf X1iou53OQq/6/qWwYtlisxU4f9t5735zCLh61Uh3/dc+/u6zKNHY2PDIyG3nvedNnU7Ybz8A6m3/ 0Qfe/iNcsWLxyFBctO2SUz558+Of+rRnPG6PxUMRsZq59+afn385wRjPPC7cft573owB1+w5Nr7t Ox85+byUaMWyxZO7fnL233/3jLoaGurMzfe+eyHsucf0UMAV3Vu/97n3X9KrE8HQ0NCiRSPYu/0b 739LjGHvvccmd3z3n975NQCcXlx9429OQoI9Vo1P7fzZWX9/6dqqHhrqLiz0Lr0QVq1cNoZ3nPtX bxnqdleuWKL0gVG849z3ntjpxOVLp+CGf/vLt84tmZ4cGtry0398y08IVq9c1nDPs49gPzjmLPMY ar01RFJb2nQ8lcObCSbKwTzHb5yW5SJoQCAk4oVkJPS+DBGbWCujkdlMnJ/VBoNYSwTJNpHGEepj SGZcClT4Jgv2chJhACQK1FC56uP4ZI8kf7yrLbGaecLmQPMgimI5IBs4AEie05GwkYPICLCQu/Mr Sd8sos+AgTLKssvP/FzOxHKfBIRyLoc4VokgkORpo1JzADly8JCttU88iQOjr/VHYB7Uh/VPacQ1 ILBHYznuI6AEuKj+rWxLkBWwWhOlIeQL+iyzLekFW3fRKBNtcQaAGYpI3AxbORA3m2STkw4Vle9s GEoYBOALVyzgQGRuzw63zI40lDTSNPLKn1JgoTPQdJSBpSCzTw79dZAk75IuoYPOWvbYsYhjsAxa VIjNbWxMlWSY3NdoPYuzX+oNarw8KN9bYA+OEa0PaxV1bPJ9o7FyM20DRR9aCMZYfqDdIOfQRMyP ZeHenRiUY6CcXB9AhqJNy0cxl9iF7TKS5AIpajSidPL5dU3Ro2oqwDKRTPqsI4+bEssb2gKdSFI/ gdwoRMz6Kn/9ePtezWw0oH1Vu5Sf9W8VLZMKvGqz5sOuDQJCyou3WW1k1SfKyN6XcyotMBUxN/HN 6yMeM6dSKBPVDQWd6S6wh+JjQbJC3go9ynrT5xjJGKLRLpTl+tZBMaGOO4tiWvR4WUlxJp8OHfMu 4oxR3hpS8hRaE6VoAIAdrGNmKz/cBPFqtF3LSZr0DlJyojGpn+SuD/N9nOYzLa//kWrlvqwS9TVo /8rqf6BC0qWq3ab7fALe3qFsFfLPAzq3v93bxZNejSv3y+gjxpRPws3zJvE8UnNYlJG1sZHnngFQ 6PjdaNLBhNFxWSZ4gIyWHenpAeKtCdv351nKzsn4SvS3/Wa9OVky5wOKMaP7PxNEU2v5KdUajfGp Nsr6i2QOiF0we56y2qfcVG5Phkx9ZFb/Jeuz3VIyc1MWZk8O661vqdIWivoVvntNZb8pMV7JeR1H vukGKf3ye5MvA69LAVrTstAE2XdL2c1EOz1PUfC2Qo2UeqD6CynDMWDIcwE2ldZqUXhLfkuKG3T+ 3Q9ZqgEoAWAScrDe8btKKaPLQ5QI2ZXRSKJCz/EkxBAoSA85pOxL7Cgzk6OmQ9bNQtJ0h04xKl6k WEo2PfMAGndnaQev653hReRdtpAz6bbBAgGDHZBJOtP8egiJK7qJSMUrpQSIVvrX6Fqqj+UN0sLz ww97zCdP+eeR4W6nExNHzhKXkLKXjsVSP24IAPDowx+l3eEeq5f/yUuPe/VrXw9lBfQll/4IAL54 xulfPON04ddEujyCgLTnHisQ8NxzziSik056q5KLvnH+17///R/05mcOecQjH37wIRd9+8KF+YWJ RROPeOSjfnX11RoUyNQ09ESpx2nLBa94/IVB3SRJKixbOr3j3kvf98yLh4e6U5OL9D2oE4UQ4opD H7tibv2GXRV0Ygermz534vM/Vdd1p9PpVdVZX4Al01PYu+4fnvN4RJx47BF77fjBh29YIOwCOjUL C7/5+POegrBsyeKItOWbr/iDC1jzkUocTE0t+j/P/YNuJy6ZngLZ7tO7+ePPfTLA0iWLI0AIOFld +7m3H/1vvV6McWR4aGx0LAhvIB5+yP4gkRZtGX7kbYtfCoDvO+7g9x13MO/Hr+p07W3bzrz0zs9f fMfGbTn1zAPee9tZU7PXUNLYkYlKaEKIiJ1uDAEXHvaKNLMJqnmqFoCqpTs2vuCOn66ZGDvgkWl8 YifC5NDQjuFQzcxPxc72zqLupvtGf3X13JmLDlk3uR/0Qd2b27ruZv9NHBpZtGLvXfff3ZvbhSGE 2K1782OLl48uXgUQFj3p7d9+7jee/8Yfbh5fZi3s2ryhmp+hlDpDw6NTKwlo58a7MIQlDzkEAGa2 bJjftTVVVYhxaHRybMlqDLEfkwZsv/e23uzOkUXT40vXAEC1MDezeX1vblfsdLuji8amV2GIdbXQ jycR9Xc3t2PTzJZ7KKXh8amJ5Q/5rTg/MBjRlu7zyIWZ7TvuuyN2hxfvedDcjk27Nq23RgbivOn2 axutTSzfi7seX7pn48PUHgfuZiKaaFhr87u28ruTK/fdtuGWztDo1B4H7Lz/7vmdWyaW79UZGtt+ zy1AafGah/EsxKUHhOtPR8BuJ4YQQgzX3XD7cce9/IwzvmjibIa4gfnLXvayM85Ye9iheyMAQkh1 wgSxEzAiANVUAwERYAixE2JAgiSBJFFVpbnZVC1QAIwYQgwhRkK0K1DrugZS0wOAiCOjIwRUVT2M hIEwBEoEQEPdiAExRKKgFeqJqEZI6sJh1ePEMlKClJIsPCLFgCGEOqU6pRCwO9zBQKQWgIgQAxHU NVASZOoqzYSDjz75RfTZ9164fRzETkCIgBGBSNOR0OmETidyM7yUBwQYsNfr7dgxOzdbLSzUXBY6 PNQZGxvmVKfFJ7ETgbCuaqoBMXS6IXYgcNk8JQAIbJyI6pQQMIQOinXkAaYQIgAmohAiQkiJqirV PUKMAaOc0CCL2Jr2suBDHBaiRCnVKSWuNeZVTPmgXpYzvxSCHNasJWOUzTmfvIDZOSWimlJVV1XV q6qKvVy+bdDcewwQQuh0up3YAQxsCJPehMlmJNU1L0Lz7bmIEJinQpQzNMxXAyCCOqVe1auquqpr JF9Oo4ehBwwhxk5kGpKscRPIQcbBn2LBh8+klEir11FWq+WkYx/3klpWydpqLsGVlbIvkoSVUlJf TU2BTZm5dFrPoSMV8rHYqo+sTqI8BCm7bryqaWiKK6dzFsiS1eramNsWA5+SHXQLHykluc459eqq rmsE0ONMjMYG4tY4FaMpdFNBltTQN4Q4pIUO6rsqiN9my3nGLOwuWkAuQbHwNQb29VkyIAFRIqgJ 6prqxAdxCJGYDYKoEkVRBDi70+JCm6wAcxMI2VlkMAaMAQPwlSlUp6SUFHdWiMNMJVxAEBAjRp5w vsabhUDII89jcFdoGiN5hBBQT/BXJsh+nfic3i0XnpW0WZ49SRPmhYyQGRyMuVRTqHJQv51Ajkiz c89Lf1IZJGmY5CyS8XgJ6D/mUKvxUCNOaL7aH+03mthN541X8iMFa3sy+4/2YvNf+W0L9PqG1MA1 h71gE6GKgkluXwnbufHopgThH9M8uUgDNZzjeQ+Zu7RL8x/4g0hSqpVXB8x0/zDQp/tsKH6hp/k2 waCPA9vOZOmHfl014Mcy1Z1rb4sX7WNeZSnaweY36CcHXc4FMaDxS04iOf1oqiBLcP+4zSSaFgQR CCpfyZ8t+sxLS/5Ptl+J9IZfL3VqNNzI3b5kVcYNBDM5bOyQM+Vi2bI+JZM0nVP1c/IkW/P8LA5m D1LTYAOEvDdZ/TwZVk69566BIBfiZQhmmQEA5Mw8dT1A/R6qJaeSW+tXQ4JVANPJjl2AacFuRJIr 7NFR28haoKdJ2Dwek2HbGW/elyHHjVoTffQUVlPPR1hOPSgo2sloyqtOATtViyB2FxAAAgZAIKCi fE+bMPA/2OAKejRMT9+ymEflAaAQFwCfRvWWq6HdTc2Cp6JwkHOGds+yjba8nADkNWRVY2rRjZrS fojqNQNQSnWiJFnQIM5qlugGIRDAdsIZ67C6r6u6Yu8LRWuZ0cl5aUHBTIabg4ZXCFlneE3lGFF4 V7Mo3m6UCHsF6Z4i4CXxAcqzUHxofmFmKrMULuXuLXH+rkRERde+plSnuk7VQp1qIoAQMHZipxNj JyICpFRXdd2ra04fBowxxBCyBQAAW/wDsPCLp7kTY6cTY4yyrTmZA2ln93kD7sicP5orXXjymKls xJG5TvY/0lJu4uMxMAQ5EjPwMZ6IlOqFXm9hoZfECNp9U0SUUk11XRMlCCBbVoPkc6uqNgNDnpUw awFlBswjUZ9WBUedfhCimROiwy18UWTbnA189pfE2bW2eSQxhMC7uMnMNs8XBh6srXjm4muNZOrk rJC+YmqVFAEeB9lwiOD8b37vVccf8+znvHBhobrr7jsmF00wbj//+c9OX/ul5z3nyY5eAHZtkpkz KgTREQ927Jx5ybEvO+nkt0IJn/rUKWedtXbx5AS/ZVEYiUbg3Cfs2Lnr6GNe+paTTn72M57EjdZ1 HWM85tg/Pf7PXv2K41666f57X/jio9/wxhM/8uG/++4lF+UO8qz260YE5DRC5L35RKmqk48GG6uq O1e99ox/O2bPTrX+og/+xd9/Z/vIGEBu3XSIChcQdMZe/Kl/WvS+N5x6V+p2TRGQ8ZQaaf6BC/9r 3TNtyt9kpBwDDi41UePYEalGCojT89fu2LX3/eOP/8AZ15956Z2H7j+1UKWf37hlw+a5/hYAYPnc FYvnrmEcEkiWCnWdmYcY9EYtyGdAExBtmlh2ztKHv+j+G6pfjax5yOjUUlzYibPDXejMzG6euPHH CxDjp2D/XYv2HYh/7Awv3fsR/d9Prty3GCZXf40f+KbjV17+oe9uHl5urcXO8OSKfRqvD+89xa8B wNjiVWOaM7XmBtKhQMDaJAKATne4gRIQxdhtfgnAPTaeHJlYMjKxJL/423B+YMhEIxoaXWSfcy+7 x3kgtaXrQR8GDNBR3rrOTY1N2bv268TSPSeW7slfTq95WNEOpRhCAPAZtZ07d77yla+wNgfpGQCA rVu2gJpngkRAMYYQAwSsU8VPhRg4sQ1AnJEOAbPrYs6J7g8kXrlU7wZBj+ANmFKdIGEgDARIiIQR EEMiopqo4urLnEfhGDfEQLqhhtMzbMVilAETEQaIgBA4MhYnlV0+ZvyUOAGNiGHHfq9+35/sPf8f Xzp9A8EYyFDsyC0V2URU15yO5NVKSgliiDEgdOPiyYl6HKgGcolGAAiInBYMIXA0Jd4eJCExiaFH PuOVtVWiOlHs1HIfIxHxhWkEnJAlCiFAIj7AWuTZbYfT6K1wvbhp8/hdzKSG0LlYecpIfW1292VS zcQXEYemH+yLZO6XxRrO7PHZkuh6AvWDMQBSBJT6mGUAACAASURBVIIAlGo1z4SQIEDQ+990nyDv +1bXRLEUR5IAc7E/ZqPPqymgmRZuSjLexDSRHVPm+KLWsABHIAAgGl7aV8qqA5u/N+L4RIDKDOeg pU7WuVccpdiyqDo/7EKi+uaUzBe2eQtyzq9yMVnI5HL9ihnonGqcAOraoJa78D2kSIRF8pVAGcmG K/zDBCDQlKuLGPw0e/ooSZx/D8o8oOfGalBB4vqRz90rHui7QMwnTdoLIuTaMyKWeUkVJvXWSer/ ZLL08ex/cmMmVESU+FijRAnEqQxoo2KVBESaGtTTwFV4LLJB4GuXLOkLIVfNMpGdiRM2Fv4Qjcyl CUUSIE9z9rqAnZEiBUh+btyBO6y28kTlrBiRT69Loxo4cteOUUCVQgGaSdJFEIvkyD/jIkAPAyuX y8HneN9tbc/fab0IDEgS5RkGAJ94tPyLF/0yq+6QLwfiyrX6n0b3VvErqbbTglvTa0CZ0yycsSkz xY3M5Skrdyq9fgQ1vhy3C78pB6ixZ42HCYPTK876DKJAMX73gTL+g16kxj+aCsR0DBriBQZYvme5 hv5OSiZqplJLwExlyINAIWHu0atN0UzGMZBpz5Yo4whAACkg1mZbs4Tq6/Ko+i2mhzW2ooLrijeb OaP8jLJQoWCpMSy7Ba0pjoWFcWyszahhzZv09XeSmN1MJSlFRD0hWqmVUNObBt9d7s0v8hC7eFx/ 6jIJIvkqjHqUBjlFUZJQCGEeElgDMn611R4bYU3Vbm6im7Riw5PP9oCsM42y5aw2sFSRV4TMjLrJ cjoqO3sOj4Y82C9mFZTgDbXm/uHlmahBDyCdTzElarHtKfGbveD6jrSkr1GmaO1jfoeak1EinHme 3/Az4arqVcVlyS/kUv9tmjbTRsVTdS7agkGB1kCt2T+9TpSy/HKIkbcrECAmAl8l4IuNTWsU4/d9 EPAka0ab1MHT4KjJgTwVZDKHNl7r1BRfZsjs4KkNsW+0Fa9RjMD2N5lxKliRu86cQKYWC+VsHzEz aOH+oPapit30jOMa7zEooqzotTwSMEcbwiBiCoo1TtTJya6pX7FVBNEUfO7UMZBRAVXZ2GtOlxRQ 5spcfrJ05R3PkFiEoCVKpbUzJsmeLeXn8nwDENeTEd9kRYBJSnOYAO7IIZsRt1jucCvGxdgRAWb2 0YnKWpCSTXYmQFMW8py6URUelRzhFwJyVE6YnCzLIpA5J4oQke9V5YpE8an+xhKfHAUiSBEA7ti5 8+677lqyZFoT2QQAtlpZxm0ICEEulidy4xZ/QImzaGLsS+d8EYBOfMvJ1vm//uu/nH3W2inOPucq cmsbDcdFE+NfPvesoaEuKK35OrHPnfbvP/zhj+7ZsG7p0qUv/dOXb9686ZKLLwql4ofM7ZmTcwgB zCgylIBU+60xhVbC+qZPvPx5nx2a3TabwqKJcXeQBQ6c5bpauP0zRx8VwrKli8FWW1RbuoZVJUJp OghKI+a5QOmrzmehqwABqIPiTCfWi3tuv4AobJr4/d+s3/mb9Tv7EM6Yr5i7Ys2Ob9QEqS7m00wW eIFMIGdAA9lFc/d1hteOrn7pzIYdt4SpdURpAhAAUi/07txRnRlHZpdOTDzIK+l2AwsLk392yoff cUh13Rc/8LqfVbA4PNg77lr4/zlQ6oTAOoCN0/Lli7/2tfP0V1ZEPi4msiIsxJXLp1gvUy6wkCCT X00pBcRU16lOKdUhhkSUgI/3sMgUOS+HGIOY28CnFln6h1KCRBj1Zld+CoGI6sRnJ/CdhyQ5Fslo hVLQJdDmIkcuX0yUAoYkiV9xYmSZM8iBJJYdA6p2/fQjb/tRGh7uTk/JLahEADVF7oLJgRgC54xT DOpbBQwxJEopoahclJOwwDxugqQn7MgAEDEQIBKklChiIIKUUuTKXM5Y2aE8KEf9IQIgHy0ihyzV deIcOiemSc2YOBAuYrToLlteNXuivB33GKYk5OVdz9ZatmBYLmRkL9oZbzPTLjph/4MopYRJz/bV 6dSOZMnAmZCUEiIQEiWgCLwyQdaLpCF9pAyc/0YreUKdF8kBE38vRUYEucQM5MQGc0Rdxj07LeqL uPjfPIdMTijfMiKo86kWDQFlIxUWZNR4LGdlpLYgBw5EYNVpwuyoDMTLHM4jw2wbZdeUTWwZ48sH cXESEEgqUznK2IrAhQ/8Lq/7cNyugT/ZsSLyPOWBWvjmSaZjEHc3o18kYZiq/jzM0mchkiLjBEgk GV4qHkdURmDv0WavrBwVJkDH+pIoBU04oXFXchwpC1elO2IDTHZ4jIzfdAfYpHCyBKygXx0KFRmS WA7UL83qHUysAUWh+/Hb35ifs1kyTvHc57SG88QEF9Ksi/rMoFFGlguZHJty2efimNQ1mklfihNC 0kMByh/yQHMT2XVHR1r/KQ/QpeA1oaEktP/yKhaBuyqrzOgM8GvL8YCwNxYiVNAIsEmVUg+DsWkx etB0Mqg4S/OaFsWyOcrbiXkcWr9CmExneiG2wDGTl9UUArKOdmp9N1AMisoHaXePNhx2NTrWDPqP DSZtfDaWKOKAvp5t3LsbRnNyCt7xEqKBB3equkSnQ1dDxQErXzfhUEOQzXkDW6tmzIYDjMBO6G3M zlEwbes7LRlwIB1IXRUZRvNB05GiyfMskSaRi24HUNZUEYefIuSka13Kx4yAZvVK0TWLlQULVWsp K4vckqoMp/cKflVZcYoRSj7h9Ju05c2zEpmMGXIxrb2al8gMZcVAkzfq+TS1Zv6HeF2q8oq/vSko id2Y9aK1PDDfYbYMwIm2/BpCZnr53rSJt4mkJt3utKIEecnY4Q8l8I+oqsnp2JxFskXebEb6FPEA 8rleMxINDdJg0YYGceJmMgDgX9LVEp/V6Btm5iipNc+GqTFpxaC8xsmLiyRqBLID5jSNErBRpKSN mhICF8wZUfoNng0bm00VSlNzXQ1Wdma6pIlOt+Myx8tZFYAxeYOUjkjaNGYOaqakGrRGdbeU7JjH Q33CnN83DYmmXfoPqs96SOUSiJ+TD0oaHV92xV0rxh+sClWjmSIp6VzgSlmCckdGVmdTpZUi5EJE 3pHMdWx8kC06MhOQnX9odM+Cm4jcJhOxDLzZGRwarvxbjKji5ZVUHpLTcI3gLJHpDub75vIUGltJ j6SurhCB9BkwFASfgIESkC9RIjsrRBqnHIzIoI1Q2r38yCYDwRYq9JoYXtrAXm9hYmLR1877SqcT swIA2muvNfPz80oAJRvZ2ionzTUT6Uae6QewaGL83HPPIqI3n3gSAPzbpz911llfmFw0rvOhQb3o BL+uDkQ0MT76xS98fnx81HgAAMbHxu68/ZZut/PCF/3x5OTk+973Xi1Y8x68rxbxqpt0fZpSShCy qUslrfVlmpocTqnC8UWTAOLa+iCmTxxiDCuWLclKBnP4qlKsq86slMkJqNAC0RaZCr2m0w+g5+H5 sIoAoKNyhykB7y9cs+38iflbNyx+7kJc3EQWAACG6m1rZi6cnrumrlOqWYuDUNKkwzQ1EnGajzRS BUlAD08sroZG/n12yfiuLQ/ftW2CFhBgOw5tGZ68dcmy4bHJ4aER+q/li7G6+5NH/eEpGLpji8an 98A2+/y/BiiFEAkSarXmHquX7bVmlewHh4qox/5wTTUfGEtEAbDT6UihKAGo25UopRoQMGXljVWV ANjMAIj2DQgUkCACJUmIAsnxsWxd7BhUjoUxAga+oyAneYHAjkYASiGIcKZEsgLvtLntPApujwr/ QbkCmCRTqV4zBs6Hq6IiWLliGl0VoQ00BT7OiofH2XHxIVD3GRGkqqpTTcj1BQgIaJmnEAIRQdLw nBAD6o5NokRICISyrVatIO/YQQiJKCQtmwwBMRDVCAgY5OTrFGQDKKiHlP2BHCLlUAiyY2N+hq6q ez8MRJ9ykRHlkkb1zXLNjr7nnUNAgACQwG4kyC4dG3xyIIyq32krWirObgJPPeeDYwKCQEGXOzR8 lK1OyqbKVLZNBtTZyZGAg0RJWNR7CKBM1C9nzj/Jvo8LrtxrWrsh85NIp0GTiZjjA8W9qKQQ3ifN j6e8LJ5pKZ37eSY1LeqOgt6yXFhySz5yrp4IZCcxSTPcmc5RktAZLf7KexqVXIVL5lixcGFdDYVO nKea+Ws6E/5v8k+TklebzmGsOhvE5dsEQIQyBTpjyNcx8HkyQYveypnneSYttpBZ5Rw+OcTUEyPX gEqNG5l/2lrnE6izm6DBqWo8YxiJfkg2UZiDTYB8r4QR2NR2HogPg9H1IFfXZj7U33UCpd8EoDob 3AwTyCZ9yqxkVeOCnHJ94Y3pr0oGch16tPPTtqIv5sWFf5AVkuMXBHM3S1k2NnA/uXDZp3GhfJGM fywI8G9Kn9AHXkBcU5a4caTyA+6bxfxRlAXlf8mf9od/0RVb52aFaUGFBdjQIiCoCWS8UFrQtWZj cI+NTItGbeTweiAoJs/Ndm62HLr2jHkw4GIsYwGbd8+yVJgxC49ZsFUj2gzoy4WkP+BIwOUXdewu G9RkxZyGSIof6dQIt5BaOnBf+k6FjTwTcjCo6tVxuH1234iLZA83VqapbwZJuZ/7NZSygm7SxOhh z5pFdh2Vo9I/srSJV5g1mZtY0yY2X1npOKxtzPaG13GAxgMZn6xUQdZmyvHqSHSGdEUWcYDkumFZ FyzH3vcQiXMazaTVuh3UTEE8a0ByK1rKalgym5i6x+Jt4VsVplJg7En0bzWm3UbfFCJBqiCOX4og DcyLOSDNwqqJMnVXMqjvRFmmUV1HRmMJH7Tr/JjXIwXBs7ZRb8HpkIETqHqqSSBre1DO18auas1M vcPHp/CcyZHlJ3a30akjGw4auib/rjQWm7QyApH9l/ld1U8eqE23pmqcTSMA2bejvow93ySQw7FU EpT5wcUNTdZsfMqPNljPpFfKoMoVIBCuMy1AOicIoDUa/YrPuMiNSYoJACwuIRUzkcKsghljND4s OifU0XonWfSDvU75/0x0ggabZfKQeIyNmMcaI1PEqjgk9DIOzz1iwAChli2xgKimLa/uc+iPrn+L VkxXAKmf2mcptEffAPhcIHiGJ3Jzp5e+m4V1HGhawcaDDSdKDqZveJj22XcGljfQWbGlUd2aQk6z Z5EGKfsCibasTSRKknswIhAgwBfWnv6xf/iXGDuNia2r6vNrT3fBWn4rj0rby2FcAxAWjY999Svn DA0NAcCXzvni5MQYOfWmb2sxSR+XTUyMiY5QTYQAnW6HAE477dRNm7f+4HuXjowMaVNOVZP9UYik hHWUEiCQXXVmfxdTxK0FLs1UZVKocenU6QvTcroDqVl0k1uWR0121PByo6WS82UB4LBBEyVEBDz0 4ftzDTSA3DXJ05Qgbh975NaRQ2a7a3pxAgC6tHOst25p74bJmWuBekRc0Y7INxplGmTnARFCJ8QY qrqGh78szW2j3hxVc5Cq5sS30MJ/BjpL95+68+tVqkW9InQ63cgngCEkrBPVRDXwwpEEKHxOkyv5 UHvlUoKaKOT6XCJE7HRCPiA/QaqpromysIQQQgIigrqupTuEECAE6HT5bkPkc7AI5GhaEKuGgBgg isni854RACGlOrulNRERhhBjEDWFcqdazWXJgHyEJdveEFBOwkiplhrNoGvRbJFcNgkhRAKEgBii nM7M6SlE3mMTUqKqlyBx4RLy+Q11VQt++Qp7QIQYMbIGlFEm5NNcmdxKy1TzedAcIfO5vdCJARBt yoiQUjDrAbIq6pK4GhdaRZW6T0SJaj5dlvSAYz3imZ9IosISAvD5XZbrdy1pZbGsGXt3hFJKVV3V VVWnGghCiBayERAhhIDdGGOMIXRCiMx2em5JrqXio8NrPRkLAQKGTgxR32We5McWqoWqV/NuIkQI fDA2n8bFiPIBXRgJkE/BA4AQIl/KBwC6lpIPg2aCWfSl5QZMY8cpsvSQl1vZ5HgXReIDSRomfi2A HFOslNOLE309DMnkEIHMiyRKZV74uGpzY60agNQUSSCq89bQGOohAsoB0MGi0uRWTtWg6oKFfkEa qZgJLeoBlHXsb0ACOTpcX1eL7Q6ABvOCg63iFlUQ4vCkfG4akSb8eL9C4KPHhU0DEbs+mGSPQW1z KKyBUffPydgpJVvlNt5XebGAUJbLbAbJvksmhHIITBYydiFzQgEAhPgYok6/cJ4WklDgFSzpV4SU LPbllTU+zTyT14cuqGEomYet3NDgin5XC/M85NDJlq2o8Oa5/AMx5OOtLZmgrSt+amXId2h0y/90 FfD5lz5mLt73wyle281T/gdsPjzweWvVKh2sGho13shvZv+5GK4xbdG9FyKhE/ahoIRE1UBgmnlA krM4AcbhaDymjWp0ZDJsQ7J+UWbbBq0RXSLi+x5cva8npbSrynXQjwV4GlH57W7mD8GVmJTzTo6P 80KYq+ZGDRbyRHEMkqsXGzOqzw3CGhzVCEDVUUAxMsEeNQpjc5RZsoiorqtkwU3f8EtiSrIAix8V bfIIl9mGBjY2kAeSlvyM8q4p9fyj/U3UHDO6mTLdTs7MZg2nDO/NwSBhbYLLH3nmUKPqQ8Y+lPv+ 7cyUImU/gEqrSKEsWOqgklLMp/oQQPbpS4P6lhlaIt82FWkLcl0XE65IU6EpixIC/ktP5ZL3lLKD 1WhTUzezgwYlV6Hz7HYLaGTTznL5ps2yXa9B2TdrLPEq2+QB89/kxod9NMsKW59SI5WfdQZbMfYZ JJWfcpguQ1fKnfE16p95XgiaItTUmOLX5TMJzZ9RIlreFEPAKIvrxLfyoJ7T2GcpZFzWkWZaCxcs pVTVdV0nSuUojLZGdcVHPJpCrWAxJh2G4y+f0DdGa9oD/RXy9w3T4qnuf8Hmg5lZchelfiq6cLIi tUm5j8JkutVOAkp16i1UvV4NiHw3TacT5TRLjk6ruq6JQC4nQdMBegY0OKIzfRExRAwxdjqdTicK baWiK2XDgYXBQ1mOIjU3KlgFQWTgzktBY2Ai3pMpvyZKGLATIgLUHI6FGOUM6AAAKaWqqqq61vvP ZRqIqE4p8YmLYE6NI7uzYGDq1VRFpq951g0z7W0ruW/ILUjncUnD6mCpxkhO6+RwSEw7n1AaY+So lmRMpN4Fh27sCHClmjv+Qou/bR6sCghU+Sq7ImqRDbIKgm1bd+zYMZMSNcYbEMfHRycnx6FkSZUl JQARnxWYBdcULf8zYIxhx44ZAJqanGC2stt/iOQMkxyNKAKinZyytmVkhkQ0MzM3MT5itsRmoxhJ nzijhMH5OGPifeWUCW7YkGolbwqdLXY99Vs+KJaL9C+RukyB7K/oSDOHZ/tgCPhFLkccAMBOIuKj Fo3dOH2OVC3eddXiXVeh3gfEfSSiOh+6IQcCEEAikJyITbXKjDx812VhzZNgeFHfkFto4T8NE5uu wICBsOa7zgDrVAMC8JUEIDessdcNfDUZIuhJd5C9PhE4NXhST51qcdY7gfPRWkgMkiNKzktKqkZJ rgE11cm7R/iYDDmkIvFVe+xRiSqyY8sQSI7xYIlkVaLX1LDnyOlXDEH9HECQ1F5CvRQgJZY81hky QgAAuawQzKYCAAGFABRZqVGMgUejy20p1cA1vqgBE9UJRNrRdLE2jJIoS1qOh5KvUeTFkBGvX4mi 4ksCoapqqfHlw6VBB84k4DtbnPXinlXhqTZ2PkN2z0vHifINN2inAuzGm2O26fffeBoRKbjxg2lp AkiBMBFiItLCe2dpMSvKwgYlucmHArdkqdLsl4GOyrKFRSKYxFZKDSwR1VCTdAacDnbpG2f81fKQ FtNkOlM2RD7GyEreWJJTz4IhgJbek/w/786zwEY5UldIWbq0FNdYXVHNVCCzw4o4ou1I9HOa0UyJ OGdIkDgoTfoEyhowZdyZEnl2pBGN6rhCw3bsk5p61JIA8xrkLXN+fI6CirCVVNsUcw2eMvJLAEAt EkE3CTITln1j+SpTGDY6Mk2hfwT1wdVp18aJyG0Ky/KFVlWEmWNyzl1d3Sguki3+qWBrioFAN32J mEtgwS2IawuWB4XmCQTKr+hobl66nFBkR7npqr2jiBw0bgi4KbAy28z4rBaSFjnZkLwYyWVipsEK t09Ulu/E96hxlHKJfTQTBqTfItgRqjq3BoVqy6Gp1AFDQcGie0nla6o2C1mpOApPlvwP+ZfsKBvi 7sf8tlC40EXItd0gVWYkrAUuGFaCitVzDRqyAjpaLaLNM9Ykg3uYTFWJBs+Z7DLIK3x8N6UeycZ7 9is6zAcRloqZUi3VTBo7W8LCh6JCQZmNhP91CihPmCkY42L0HTu0nLLSenMAU6DZrINJk6ovIaPf VaRayNS5za52XtDPVIgTsz4y6FPWTXMK5GmNoWAQUOMl7tPUhoia4+NCinMv+hU67gfVe0p216ls LChDRi/ATUeF1JEV2XE6UASyFFYyZApsMf+bGuOg4iffDriSUWtHNWXB5Hy+kuLuy9FQlp6zykbr UzFpCExWJSq9OTBFNCIWyqsQyebkWtuDvh8wtW5cDcQKOvVzVhY6LJ8VkRMHpqEkjQS5lrnvJ2vI JiRPo3/chBep4Tc2h+h4dTC5mr178pVsoS1g3m0COnMeL2pwUx6s5rDyw7oq2NhqXvBoY0zaRyNn 4lyXrEKyY5mL9Enz3b5BtdHOpfY7wsjpC3SymOll9ohjUO4vp5bk7aYmNG3gF3Yzt7v+nddQ+ieO iKIyB1CNf5BdQcoy5IxIdihKuuRVfBSuJNEOJFrJuEGcEefLo9r5wgrkWls+tTGQvKS+A8cA+h7Z 2qtWUht2GXcCQgj9rJ4ZQSeNAAACF2xpjpXkRM3El/noOPKCnwVBpAFA9mhtynR0XidkD7fgUiEd gWUfNBLp45M8ZP2Qz5ECGTjKhhEi20lEjvGcdRftbVbbLuZxrMKnCoka0pVs9KKUSzp48YgHoabL XC5GhevHArKRmZpatGjRBLOWOSVZNwiJsuJVD87JK2Z7kb+X2E/2S0xOjjFNSO+L0fBOdQD4HjHT w7M/T4jOCSLw6RwlRjY9TYOe0SUKBIRGVhktSYRHOVLXN9ENy7WlSmCATcmcaOqtYJFmoFW273Wu tsZOpnqpynPq1DCSHSCWPCEtSvFkAl54cEoNABKlvBDovAiUrehZudnuJwItg9u5Id1wVgjQ6Ua+ H5OvIOMMCctxlhQiIqgrAsAosTBWVQ0AnYghRgKqU2LZkeVNoJSoqggROh0tm4sIAHXFzwJK7Zuw hTmejAxCBAK+SC12QkqUamLGYQWHBN0Yh0eGer1qrtdLCeqUACB2IsqNdoCAKdXIt6fx1PH5r0gp UaoTkF74iRA7IQSMMVZVPTff64TY7UaMHJxTXdeo5fRVXSNip9MBeR8q3kkvlaQYQ6jrlID05myu OQyqDiDECEB1rUfQB5BbNRMBYgwBCBKluk4h8ARBVVUAEPVAYeaxlBKlJHqXZ80EDDDEyAxpOqnT 6QBAnepESU89RkqECDFG3ngRuBouYAyRiBfEJBpBgBD1uFLkIuBOneqq6klCVbf08lkZISBBgqR3 rPEee4IYIPMrWSY1sQkhypu4UmIW4tt1CYBqyeNhiMinZbgt2E7s+AI9QBkAQGIbhAn0qHTxlGQ0 JFIGyUJkpk2SU2gJEfXsdOSUMEsXAaSkmS9VflzgSyDrtKpvMI9cVm5Fb5odxBo41UCi5DHJWUmI CVJKUEsZMpuJvHarPgtoIkoR80pWsvByCLZmMDnQDCRpCVZUNVFd8YnWSGzlAcgdp+Vc9oY7LM4T qosqlh4oUUKUVIteLGWuiW6Oam7cBDOAOSToc67ke76JwbwfUl8FgYjZEjEFkONiyFIBap3MSWHa I1OGicNpaGRuYG2p5bOoL7EkggtaiIhQmJBnQbiCLTnkmwnIXgF7WseZI3xN6pRhFigXk3k8moZT Q+TGqOKierKwYxZ5lr559nXMJVJHxTlZ6tNlm9sUzrwcTGaREnOFVte6SoNcCmBqD4UIRjQQ3iGf 9kOgJFEDWAULlWT1PooLpNSp1yEVXgQpgXTelTZqxmRuLIwAK7J2rgUjZOvY5sTogxKKoNlGsuds guQ1Smy7SfWIMjDkF4uMjkmHlDAl0isGvUOVBSzvDjBvXecVBEkEwOLwB60/UNKq4+MYTTy1TMTS mcoqJs8NT4N0m10r95vOj8XU5FsThyvIcoQeOVD2rM05qcizTDo4Q1iIYa2QSql5eOTaaHYjJEep zygkvySECKr51zYaKF7xWBfqtdGvpwiIPm78Lu+pBFuIUKgMszxlPMkIkE9wFSO2gepLBC6Vzdbf D1XGllVhcaeYu2m1GEWT5g6PPiKDDk8/D+THBnnsU/Jb6cHok//KIY4OLEe7zAI+BtIHM8kcb1Bu TZ+wzQslZpylADEJjhoIIHcuKQMROUnQ1vzukKwbqMHVLi9Dhk6f3BlSheEuqGqyrSYgt5Q1gLCi G4oyDORHcme5E4cDmqFsoNJHBpX8YsE86wM3ABUKBHXBwC+coSOiI2l21/O8+z6MyDp0m8uCt8kT FdXlFAp67aQ9oNon953jPHH63cgEYRJ10SSQe1/4wy/iq8NS5lfVqDkMjHRu4NlZcMIJLjPUcF+8 yDVFtiC0E3bSZWNdoreRyPEyNo2FDjbZUQIKd0E+1dzi6KwuC0z1Df/vYi7cn/aEeeAlNL9x5hfL tnx7qUSpX89RP4nRP+WUgvyo+kFDOZUsdhgB3VvWovmrWLQ7aHwqpACa2kjlukbD+XHKCd3amH45 wDgaMqZWHLpO3RkxGhRMPt1dtK49ONZ0MbvRQPOcjbgKsp/tm/VMJOYFJJmYHyBVPGhPY/5S0aEc c4FYVCewbtBkmVMXIinhzENVveEbJLKbsUWjoc2pHpYIBBSyVDgGJCDQ6l4CgABQFDWrVWX7FSCY p585Nafcrfy3SWhtJi+oM5ZZ53vtbwMjNc4QvAAAIABJREFUm7S8DFyKm/6VDajaDrDcdtYS+qDD TgaK5YApEUEiXfak/B/jyiFWtrBGJcMie+zySK5u0nBW54L4jDTxHfWHHJUWbFsoaT39EhtDctYI c9dmeAADWhUjifeu/KpsqdrO6xjHvaA0z4s61LA3oG/mlRynDC0PTJYkotyw6Vq3tARQ7KUga9/o 7xAsZdr0hNWlyO9OcvIDpaIk56yjb0yYATM1ssoFgs7s7GyMARFTokQUMIQozTvlIgNPSc9QttvI UXZOEEBvoTInztROEMdX804BQo9nX3LQPAw+W4ASIa91EFU11VUCs86Iqa4DQqcTbQZJac3bcRNR XVMi4hEhctILWFdxRhiURIxPiCElquuUUgIIQECJOKVt+51Jc3aIMNLt1qlX1Wl+fqFOMvMxYIwR MbDwcU1ukESGBstckqsXMSLI3W4A0ImRAHq9ai4lmJUJCnnBEAAAQ4gh9BZ6iStvpOCR08GcYsSU anKLACGEaHRXPVDXNaKcdMxZuZRIHkK5z46L/SnJZwAgOQ9TAgQEiFH3QANIOosQiHRFkPPClFLC gJEXDOq6TjUAAgVKKQTmuhoBOzEyG8UQ6zoBAAbkMwlknwejQYAhdGKnTqnqLVBKAFCnmiglJEKI MXQ6Hd41pYyPvV4dY+ALSUNAXl8RPcloANZ1AqIYIpMIgHhqSG1PXRMG7ETEEIigt1BD4lpcmV+S YmrZmpsAMGoopkqTbYhUqnLkEBAIMUHgIzNMixGpLWGrhUTEDKNOCmhZk+SaEDBEbkZUHjqTIdQI AQB7VcWHUjAFEhEgxYiBbziMsjABQIiBKKREkIIEGUCgReXMmXJWNUEtJ11ACJypxxBEIrh3pj2f xJASyeINnymNIYQAwJPOshYBEAhR141V1elKlQe1I6KU2K+ok+xSSXo9s7KmUNhOoUbU8zcy1Qgk 5tIvRAeKvWbqsUyTrHYkS2ZyB6weQ+CzNEJ5xIc0LunmlOqUUkp1zRW5RCkgxhA7McbQAd1RWNd1 VVV6UgcfvsEndQTNXNs9QNmmWmkUIoQQUDdJq4ExTtcvhMNArUY2TaLPzNaZM5S/EKEBi7FE00hW 08x+0YE6+NlUosw16own4m1rip+ddpu9Pecjldyhg5ViWje3/HJSkRJOEK/JY5MtqncEi8tVUPSB aG65Sc/ssQsaczrA+Vhq6M0dMaecN+zpeTrqpKHeQ51x6KeITi7oYSbKzAiis+WiVe47ICKGoHdc g5LIu80ksiUrfHpOh8s4M+dDRoxUUQRUfW6ykEMrVV0gu82SJLpr8JG4bKgVu2aMVyx+OB/OvFHn +EBWI40oQIdiKxF9v/qEgigc9dKcW6oTr8yQ8/5aN+4HrkQz+XBaQjLX/KCMwerH7U310poY+wcy KR4UkIto+yjhm9ZPqF004xcbqh9YnxesmpXdQ6Diecgia/OuWrmBmyLtJrsk9IChOhRKpsz+VMaf gGfRrnvISJeIDOyxjzbFL34wZm1KjJq6LesJ/+/MeP4dM33m1gs+5HSzTiG6Jpu8M0B0QI0llz4g RBbkAGz4+BqOlMNy9cPcEHOuy5HQ26bd83hJErCgJTdR+BCZAjZNaLGGWrVSSrN64zUskWiljf5h rO7kGrD8zoGavgE8oUFT8ZV1ZUJPWfui780RL48+2wTjaShInoXeU6GhAshzQPY0GRmxX8klknQ4 IP8vVLdxZBEb60A4IyMJm6JFylPVxE+7c18jyHlTfhCDQTVHTujk2LvMomcpKcL+/Epz/po4ipYt vAgoJ7NEoMR9t0OQhiijzc97M9CY0EY3Df29G01WKJGSKUxv+EyJ/oSAef8R/4W50eIzgF/MlnSL GllzzdUx5YqiICuGKdU12HFzrP28ucyEMMnEsn85+8zOVoS+CTJkIDtXWck3iOxtwkCieop69vb0 MT2SXQ/9axBnejQKUhYd6jN54qifJMW8PAAP8oyy41pVqa4TIsQYua7LOCOlVFd1SklJB4hIkiUx V0vcTgs8+NC5EGOnE2OM/KYma5qaVBSLU1JqZpSXRMsTMPsY7comdLcsAWAIGC1exMDJiqqqATB2 O7HDxy0y99U1l1NJmTZQ4iMEUpNs2Ddn/KWlb9xMQUZ6wC1pA+Tai2Hj4TJ+Gfx0ziG5fBLKlkpH fhf/auPqBgPopjE1RKIrku1f1WYtoLBrhBxvozEmOSax6qDSRSg2San3M4BkhdkMgCAjA6Kqqp1u wuwemVbzkiLDKwQ26wFjxMb0FCZCpd/ZLRMN61+p08wn5yZEmMmUBGTUChHpf9miVicqGnGhxFGJ 47liJsrRuG6Nx6xWyyYYP/nJT0ILLbTQQgsttNBCCy200EILLbTQQgsttNBCCy38dwPuZhWuhRZa aKGFFlpooYUWWmihhRZaaKGFFlpooYUW/kvQufvuu/+ncWihhRZaaKGFFlpooYUWWmihhRZaaKGF Flpo4X8hdNoK6BZaaKGFFlpooYUWWmihhRZaaKGFFlpooYUWfhfQJqBbaKGFFlpooYUWWmihhRZa aKGFFlpooYUWWvidQJuAbqGFFlpooYUWWmihhRZaaKGFFlpooYUWWmjhdwJtArqFFlpooYUWWmih hRZaaKGFFlpooYUWWmihhd8JtAnoFlpooYUWWmihhRZaaKGFFlpooYUWWmihhRZ+JxBPPPHE/2kc WmihhRZaaKGFFlpo4f95oF03nvfp0y5Zt/SQhy6NO68545/XXnTr5KMeuaLjPg/915rtPrg3evde 8dUvnHXBZT++8s6Rhx68egT/87220EILLbTQQgsttNDCfxO0FdAttNBCCy200EIL/0uhd9cFnz7n hvCoP33tM/d4cJnL3xXQtl+s/exlG4vv1rzgTX9y0Mj/dZPV5ht+8Zv4sEcfNBX/q9gBKK3mAfd6 3utf8rAxBEjbrz7zM9+5B2D8sJe9+umrHwQBKY5OL1u2sHL54rHu/E4AAIijkxPdyn1OOxceyPlW NATCPi9+49H7uWZ7Mw/4uuAxd+v3f3jbDlx+yGMO2u/heywamt01n1qXv4UWWmihhRZaaKGFQXDK KacAwJve9Kb/7IunnnoqABxzzDGTk5MAsH379nPPPRcATjjhhMaTbQK6hRZaaKGFFlpo4X8psJ+H QxNTY3HXrup/EpPu8ocdduhesOvmq3+zA5ccdNi+i4ZWPmTpRHfXjgeRUB0EvQ1XXPrDm/fd+8hD pmmh/q/7s+oT07237ew+YqzXSzPrbrwPAABweGJqNO6a+e0EHFrzxD85YWxiLNYzc+ZjE0D5+YGQ 5V/D8ocfvvc4Ag7vsdfS8e7O3OzCg/Hd0+zWnQngIU994fMP7vR6C/N1m35uoYUWWmihhRZaaGE3 sGLFCvhtXupAWL16NQCce+65xxxzDH/gb/qbGpCAPv/886+55prGl4cffvhzn/vc/yweLbTQQgst tNBCCy38j0F284jY50uzd1z+7cuuu2vzTNWZ3Oexz3rOkXvs+snpa3+2bflTTjju8KmF277+mfNu gf1f+OpnjVx70SVX3LJ5IS7a67CnPPsPD1gEO6876zMXp8c/e+/bLvv5lv2PecXhGy/79k9u2jSP Q1NrHvW0P3rCPuNh96iMrHns0/cZDetnr//NDcMHPfWFf7Sy7qVq2y0/++ZFV9y8aT4sWnPYk579 hwdNxn4M9xrFhXuvutj3deToNV8777pZgOvP+Oj1ix7zsj974opq3ZUPjPBLXv3sNQ9Qxcy0Gp/u 7rr9+k24ejLNbLhhQxpfNbbrHvk9za7/+SWXeGzHNv/o9C9csV2b2OPZLz/kqi9ccu+qZ73upYeM EljWmfzneub2vgGGBhoTBz75+c9aXlcEANXCzPZrz/jMxdLsrsagnrXsvnLg+3fvuuzrP94EAHee 86H37fWCNxxzwPBcA/MDR+/7wdqzfrFt6eNfedwR8z84/eyrdqx4witf+ntL/1uKyVtooYUWWmih hRZa+H8P/i8S0EcdddRXvvKV1atXc+EzZ5+POuqoXbt2NZ4ckIB+xStesXbt2vXr19s3+++//7HH Hrtp06b/j737Do+qTBvH/5wyfSZTMuk9QEiB0EPoSACRpkhTVMCliOi7yrquuqtbv79dV9/XtrI0 URFQUQRFeid0hEBCIBAggZBep7dTnt8fD4xDZpIMEgzo/bm8LmfOnHOe+5QMM/fc5z63HTsAAAAA AOgovp/yblRDswpG1HTO7m2w5O0vOLorP/03WV3TDceP1pda2P7qqkuVHJKkZidbD/z30BUxbsCY VMeJXae27o6Z/0gyxgihusPb6xhNWGK4ovrggeIGRcqQkdGuilpdlFEtcdpbrWYWOIfTyZM5RI/D ZrNe2bL+4CVOn9I71V2Un7f5+5C5M3pp/CPMZq7sbzaWxxBlZCsqxcj+o/vFx8cbqAuff9t6wBFG vYqx2fiWIsQIIURpu8TzJ65cso7uh2svVvCGjFiUV+1BCGPRcWXXhmbRPp6alD1cjVnnpdyjVz26 5ASjPB8hxKp0IVKP7Zbs/4+PAxyCASFYbH7IRI/TdqPmWiSL+6z2x42SVu1tvuFjddFdEi7Wlzh1 vUYNzegcoeHzvm8e+Yye/UdlXlhfcPL4Bdqcb0XGYVNzuhg4k8kpBHVmAQAAAACAjrVkyZKA0599 9tnbXQOpgP7vf/97u2uw2WzeHDSZMnnyZJvN5j9ngAQ0x3GPPfbYqlWrnE4nQig0NHTq1Kn19fVB jg0AAAAAAO4JvonPG08YY/9JU5QhalzDny3Yb6rn5CpDSnro0UMVhTWcuvS6E0lS+0bUn7joRprs h0b0D7NILxRsunauSZKqwQghJO/2xKLpaSrRkn+NRshtcSkHD3x4oEbKCI4biVKh6fyxgjoeIUqV 0KdPoooKFBDG2F11ttSD1FlTH58YYz3Z9O63ZQUlnv69pH4RymUM03yspM7hspOVQni3rL5RnNN0 qaCkjYAx73HZRIxbCg9jjBBmjGlR9OYLJc6++uIyt65nZ+WFPPK6u9o/Wq5/r/ReccK173M9SNFj 4tBoOh/7b2rzx/6HQE477ILvrJYjS/5+BCGEjMOefqKXxn9VNzfKdn715eYbrpqakhp74miJU9u1 X59E5DRdKAi0n2MH5KQWb7qw4yBCugGPDoukHSYnD735AAAAAADuDyRr7C/4QuZma/A+va1S6Jqa mvj4+LKyMoRQfHx8TU2NUqn0ny1AAtpisWi12ocffnjz5s0ymWzq1Kkcx0GraAAAAACA+0yzFhwY YU9twb59p0rq7JwgYoRoEVOMRNs5w3got+zs1egKM2JT+8Qx5j08QtZjy/+/YzeWdzpEiY5CCKHQ zjFyj6Xe4g4fOirTvrvgh00f/5CbOuqRkek3bwbIm4pPnb4qIoS0it4DulCcx9uB2OfzJBY5u4NH SGlQI5fVzSikCLma3CwyH9+++9YIWVXiA6Myt90yFsY3Vop5l9NhM9nbDhi3Gh7ZV5QiLj0cbTtX Wh111aFOTQ+li8hSIh8wWqnMcnH39otuaecpYzrLPVUenwS7z2HweSy6a874HQIa4Rul2WTWmz2g JaFdonQKn0sYb67qxkaZG2ut/hvOsujmHhc9TofdEjByuTyuR1f1hXwbisjOjmGcVgsPnaIBAAAA AO4X8+fPDzi9rq4u4HR/c+fOJQ8++ugj36fB98BwOp3evs8IobKysuPHj0+dOlWhUDSbM/BNCE0m U3h4eFZWVnR0NE3TJpMpyIEBAAAAAMC94tYkKMbYcn73/gt1ym4T5wwzFH3+6SEzQhTClCYpIyL3 wKUf8myITemToKQuylmE5L0mT+9roBFCiJYZ1YwZIYQQRVOCxy1izGhThs9IHVh54tv1Ry4cPpPV 7QGdICCEkCRh4v/8XmvUySiEkOBobHDjAAEhxKhULEL2ehvHKz1WqwchvU5uLdy0/0Jt8wj9x1Jj RN1IaGOMGKWi7YBvDNtCeDdep9UJnQz46KFDDRZ5ckY4c/nGYhSj9I9WwQo1J/YUOujYsRO7q3lb nfvHTho+xd63FH4HPgTeLh0+PaCNHIcpJLqdWPRb1Y2NCrzhLN/gW/oeaD8rWEY0nz941oYQQjUH dhd1zYmAehMAAAAAgPtHbW3tHa6hWbuLn9D9wpt9njx5MkLI2w/6qaeeajZn4AQ0Qqiurq5Hjx5u t7upqel2hwcAAAAAAB2P3PvOUbL/+++lbk5k9IkqESEkVck9FfnnmhCib8ymTkqPPLCvrAmxKf0S FB63sVsneenFgsOnNGl6ytlUL3R5YDDjFn3KewXb5X37ryqjwmRWESEkUak1KtZk5m6kUd2m2ppA Afm24JBEdO+kKLl48quvPFGOi5UYGXtmGKjzgl+Eou3S7p2lt44llWlkCNkv7tm8LUyf2rdTmwH7 fuQNFN7N+wSyuqQ41eH8qzZpWo8YCXfBm7eO9I9W1/jDulNmRIWFu84d3OOgwmJxoBF9H4uCEPAQ eBPQN6vERbfdYuXIw8CrwhhjSUSADZdQgm/pe6D9bERNx/YdqhTVfR8bbdu44ezmQz1mD9T7NEsB AAAAAAC/Ft27d0c/6SaE3uwzqV329oP2X1WLCWiEUFVV1e0ODAAAAAAA7hU3PuY1Fp9uRAghFJcy f1jPki1njn/1VVRm316Gg/nkkyamVAnpUVR1FZPcL0Hucdgk8cMm5chzjxfk7hORNCS+bw+FnHLc 0t+YZmlLycmSIoQkuk7DHxkWyQhNuK2Prb4l2QhJY4dNGEbtO3ahoIhWxfQZP3VoJO3wZGcW7i64 JULESPzHCkkZkHlpd8HV0wXuIT2G65KHtxFwWx+oyesYIdaQFCPNLxbje8RKPVU/ljQHiJYr+LYW IYTr8vbuQAjpB03vQ92yOv/HlKZLdmZxsw3EPxZJ+6aXA3wLuHW1GCNZoCPlFH1nChB5hO3s6j3X OCZpwgPp3SwVBy8cPLX5ZMaT/ULQbX/tAAAAAAAA97n+/fujn1RSPW3aNEEQvLXLTU1NkydPZhjG v5iaOnv27J0HCgAAAAAA7kWUVBceqqC9zz2mOrtUr1OylMg57JxMo+Abaxvdgv3Ct5/tqe38xB+e THbXNbpEhBDFKkN0GoWEphAWPPamRitPK0PDtRLOXFPvEBGiZVqDTimhEcKC22Y22d1BNBGmZPoI gxzb62stHEYI0RKVVqeRsxQWOafFZHHyiJaHhDaPkJP4j0XdnBFz1vp6G99mwEHtK95U0+CS6CIM CuRuqm100erwMA3lqK81c9g/WlEWGqGXelchWBttcsONETHz4+i3PA60gd7uHTfCwPb6Ogt3c39S LayKLOS/4RxiVMbwENbTVNPgElGg/SzKdGF6Be021Ta5KFVomEYi2BvqLB5IQQMAAAAAgHZGFRQU dHQMAAAAAACgowjm4rz80tILV+qlvea89Gi0/WbKEgAAAAAAAADuXGstOAAAAAAAwC+dYC8vLLzC 6TrnTBuXKHHUuwT4dAgAAAAAAABoN9SZM2c6OgYAAAAAANCBKKk+KlxF8y5zU6PVDeXPAAAAAAAA gPYDFdAAAAAAAL9y2N1Ycb2xo6MAAAAAAAAA/BJBAhoAAAAAAAAAAAAAAADAXcF2dAAA/BT4JlHE GGFRFCmERBGuGQatoWkaI0TTNIUomqa8OjouAAAAAAAAAAAAgF8sSECD+wzGWBRFQRSdTqfd7rI7 XR6eEwQsiAKCan7QOgoxNMMwlJSVqBRylUquUCgYmqZpGtLQAAAAAAAAAAAAAHcDJKDBfYOknnme N1lsjSaziOiIUH1UdKRapVQqFBKJhGXhfAat4Xme4ziH02mzOxoamsprGmkkGnRaXYiaZVlIQwMA AAAAAAAAAAC0OyovL6+jYwCgbRhjnhfMNltDo0kqkXZL7xoVGYF8enFAN3MQDIq6pfNGZXX1ufPF Hs4TatBp1WqWZSAHDQAAAAAAAAAAANCOoGIU3AdEURQEsaq2vqHJ0rd3ZnJCnCAIPM93dFzg/tPs t4rI8PCYqKiSa9dP5hXYtc7oyDCGoWma7sAIAQAAAAAAAAAAAH5JoAIa3OtI7XNVTZ3V7hg+ZIBG rRYEoaODAr8oDMNYbbb9B49qVMqoiDCogwYAAAAAAAAAAABoL1ABDe51oig2mswNJuvIBwYpFQoo fAbtjud5pUIxdHD27n2HZTKp0aBjGKajgwIAAAAAAAAAAAD4JYArzcE9jdx1sLahsU/P7mqlEho9 g7sEY6xWKvv27l7b0MjzvCiKHR0RAAAAAAAAAAAAwC9Bu1VAF9UpvyqItHraXqFGyk/LrE4Lc7TX 0OAXTBRxVW2DUqGOiQqHnCC4qzDGMZERpaXXK2vq4qKjgm8EveqHRR7e6X0qZRWz+r17V0IEAAAA AAAAAAAAuN+0WwI6yOwzQsjqYb8qiPxLTkl7DQ1+qURR5DhPVW39yKGDoPYZ/AwwxumpnXbtPxxh NNC0PMi7EXp45+tPPON9+v/WLrtrAQIAAAAAAAAAAADcZ9otAd0s+0xT6JG+EppCA1OY7nHMplPc scvCDyVCwJl/Jp5rX//9P3WP/7+FGfIOGB3cPoxxQ5MlLNSg1Wo6Ohbwa6FRq8NCDY0ma1SELPil MBKsrpMIIY28710LDQAAAAAAAAAAAOD+c7cSwfNGSBtt+Ovj3IYfuPdnKnQqypt9bpXoLP9h+5b9 p4orLByi5bro1BFPPjk8WnqXwgT3NEEUG5vMXVM6URQVuAIam3P/NP/zjH//54lEyc8eXgDuSysW vrrddOvE2Kc+/L9Hou7gT81dlnvE02dYZxW0bP8Z0DQdFxNVVHwpPMwQ/K0IOd7t4TiEEMe672Z0 AAAAAAAAAAAAAPeZu5WAfiiT/c9OD0JIxGjzae6FMTKE2szLiM7L377znyPyYVOffjQtRkPb68pK 6kMMHVEtDdrd9evXP/vss5kzZ8bFxfk/9Ycx5jyc1ekKCzW02H+DvIAxvkc6dEg7/2b5uqcx4svW LXrtzCP/+WeOgUIUzdB3EJ9ozlv9yZZeqUM6Kan2jPVXoaSk5P3333/hhReSk5P9n7Yk3Bh6Mv8c 5+EkLEtRQe11nndxPE8etEvkAAAAAAAAAAAAAL8Mdyu5K2KUGc/sOccjhKrNuNoUxO3j+LqDX+U6 shYsmpRKMm3yuPTQm8lJvuH0pi++O1Lc6JEaUgY+8vjEnqFsK9P5+pPrV2062+iyW10iQiik7/Nv PPbjBfV845lNqzccumISNUmDp8x6pBdkue+6L7/8EiG0cuXKOXPmkAcSieTLL798+eWXA86PMTZb bTptCMsGW4V6g2gt/Po/H+8+V97kpnUpOb9Z9HR/vOuPL2zr89Y70+JYhJD99P8tfJ9e9N9FPZV8 3bHVH3yyo6gB67qOnvPirAFhrPvSikWLlU+Pb1zzyYG6bn9c8hv7Vx98tudiE0+rEwbPfmXh8PDW ThaaZhBCmKEoRDE0zTA0QoivPbrmv5/tKqxzy8K6jZq18MnscDZQnAPDWL7m4Cc+w738RMj3by7O szgLfj/v29gxr/11WqKk7Zg/eq238vb22S/V0qVLEUJvv/02Oc3efvttqVS6dOnSt956q5WlWJbR aUPMVptCIQ+YgF514kWP8GOiWSaReTgXqYD2sC6ZRLbi6ALvq1JGPivrvfbaIgAAAAAAAAAAAID7 y93Ku646yC3IkR4p5s9XiA+ksW9tbvuydNFSfKZG1WNGcoA6T75q17I151Pnvr4gVW2/uGXxR8vk 4X8YG822MJ22nv7iqwtJC974XaJwfu0/v6Cffv2JzjLPtZtrq9m7Ys25Tk//+bmuqOjrdz75xBj3 4nDjbWY5wW2aP3/+unXrGhsbV65ciRCSy+UGg2H69OktzS+K2Gy1GUJ0Uqm0lQroG//znYOSR3Qd 8Zthi9LCUNm3b7y6Yt2g3s/2H9d17ZcHrj/yRKIEOYr3npX0fTlFgbny7/79n7y03y3+cyY6/dFr 7/5fROI/xukx4su3fnZu1m8/+E2cGl1e+vxh3TP//TJL46y+UiXTM8EUM9+ozEYYY4z4sm/++Z9T PV7+4E89QiwFX/zj7X/KI9+aniAJEOdzSZe//Nh3uFCDYfaiyed+d2j0228+FMYgFEzMMtk9UhDe 8V555ZUVK1bU1dW9/fbbCCGlUhkWFjZv3rzWd5BEIjGEhJgspnBjaMDbEHoE1zPjHvQ+xRjbXJWk Atrmqpw1aphv2nrZlh3ttTkAAAAAAAAAAAAA95271VT2u1Pci6udUXp64++UZ68LFyrbroAWHU0O pA5VMQgh5Cld/4+XFi1atOilf3xz1cPXnTpRHz1yRFcdS7HalBGjYupP/FDNo5ami6byehSVGi2n aEVsF4PzerndZ3y+Lu94TfgDI9N1LKtLHdhDXX7qkhXydXebVqudPn26wWCQy+Xe7LNWq21pfhGL VrtDrVaimz02WnAz0fsjJjQzKz1cRlGy6F49DK4as4fS9hjb3XFo71U3xvaLewulWSOT5ZirPLyv PHrcxB56htFn5vTXXD10zixgjEQ6Ysz0BzrpFVKJRBOld106cuxio6iMTOmsZ1qNxTeqm3FzFYdz q+MfmdBdzyBG3238IwnVB3LLPQHjxEyA4RDy2cRgYqaDjPFXQK/Xz5s3z2g0KhQKhUJhNBrnzZun 1+tbXwohpNOqrXaHiFt843JzrjrzWfJfvaXQ4qjycLyH4y2OqnpLofclNwcdOQAAAAAAAAAAAPCr dhc7T1ysEq/UiLOGSCb2Zk+WCmZHGzleWhEiR06zQ0SIQZK4sb99Y6Tz4pq3v3OJSLQ3uWi1Vk7S 5bREE8I6Gh1Ci9NpbWIklX++zJHahb9a1KCIjfa9fZtor7fz5ev//vuNFEII8xwV43ALd3VfAB/B 3NgNYyzwvN3pMug0tz2AaC3e+cXKS37+AAAgAElEQVTX+y82iSzN1dUJcRghSpPxUF/hw72lj0c7 951TDPpjkgwht7XGypd+/NuZn1EIIZH3oHibS0QIURJ9uJpEycY98vobqnVfvPf856p+U+bOGZ8e cuNc4is3vf6HNSUehGQpc97524NhLWyWYKu3M1r9zbNUptNL7fU2ASEmQJwBhmu2tiBiBv5Y9vb+ vrVajd3pEnget9AG2sO5PDzX5no8kIAGAAAAAAAAAADAr9vdSrpmd2Z6JjD1NrzxJDext+SDmfKX 1rrqW60zprWd0/UbTp4sHxufJKdYpVanlGkkFEII0cpQpVhrcolITiMkclYLr0xWMi1PD8mc/uiJ Nz/8a4FRq43PeXpSF7nvQCqDUpI85a8v9NXATd1+Pmazed26dWazmVQ9k6ctFUFjjB1Ol4SRyFpv J3HjtZtlqwghhBznPn5zdd3k/+8fYxIU/JXPXvhzCcIYY3mXUQOY/91dmOk5rxr8RhyLMabVRrU0 9Tcf/nWw1udMcF/GGCHq5roRo00dM/9vox6/tPWd//fWstgPX+qlohBCiAkf+cr7AwWMEMWodLfe ZhCjH2+OSKvC1EJFg1PAChoh0dXU5FF1VdHYHjhOv+Eyf9xEjFBwMYMbmpqaVqxY0dTUpNfrydPl y5eTIujWF5RJpRJG4nC6ZDJZSwloORtNHmOEOd7i5swIIZlEJ2E1FKK8s7Xn9gAAAAAAAAAAAADc b+5KC47HB0ge7SdZud+z/jj32UHu2Y+dIkYzh0jbWIyNeWBSb/7A0hWb86412F2cx2W1uESMEGLD +/SPrN67/5JFwKKt5MDuCkPfPhFsi9ORaD536GrcjFf+9MdXXpg5opPqlvwRG9Y7y1ixY3tBjUsQ OXt9WUmNK4h7JII7s23bNpJ9nj59Osk7m83mbdu2BZwZY2yx2Q36kKAKVwWeu4EXMBbsZhej1mll FF+fv+dYI39jLmniiAfUZ79Zf047bHAUixBCbNTAYRFXv/nmRKVTEDzWmisXK5zNzgTsrCy6VOMQ EKMMiw2Xix7PjzMwCp0hNDQ0NNSgk7fyh8RGDxoeW7F5yzmTgAXLhe2broUNHhwtCRhnoOEoeYgC m6/XuTEWcTAxgx+tX7+eZJ/nzZtH8s5NTU3r169vc0GGYQz6EIvNHjCnL2Xk6w/le//bdLRIxBIP z3l4TsTspqNFvq9KGbn/GgAAAAAAAAAAAAB+Je5KBfTYnux3p3hOuPG0zoq/z+NTotpMdlOaHk++ /Mzub7dtfH+XmUcISUMiErpnh9CIjRgx9ynH55///aUmntYlZj82/8EYCUItTke0Socvff63lz9H CCE2ou/0BTP6e3s5sFEjF8z0fLnx7T+s9CBKFZv92DNJEZAjusseeuihbdu2PfTQQ6Tkefr06eRp wJkFQTCZbeHhYSzLtl4BjRBf9/0fn/6ePNcM/+uHz3R7fErKO4ufeeK/2oQhkyb01J24UTzMRA3O 0X71qTjzpYgbrZWZ2ImvPO9asfrV2e+4EaVOHD7/lc7Ryh+LlxESuZrDK/7z92t2kZbqkwc9vbCn OpgyY4wRvtm3GTHR4196zrZ06W+frOcYQ5fh8/4wKV6CERsgzkDDUWLPKaO2vPe3p3OjH3z9X0+n tBkz+NHkyZPXr18/ZcoUnU6HEJo7d+769esnT57c5o6SSCTakJDa2rqYSMG/acysrPd8n644usDj cXMcjxDy0G5O4OYNWNqu2wEAAAAAAAAAAABwv6Ly8vLaZUW/35biffzXybIEI/3ql64aM0YIsQz6 22T5F0e5wuuCd57/fai4XcYNxFXy9VufOsb9z2O9w2RIdNUcXvK/e5Nf/NPDsdDl+b6AMfZ4PIdP FgwfkBURYWy/FQu1215/9UjOv/86sqV+zQB4VVfXHjh2clDfTKlUGrALh9eKowuGZhhdniaEkFyq zz1XDwloAAAAAAAAAAAAAOKupGT/d4vnqUGSd55QmBy4skl0ceiLI1xhudD2ku1C9NSXm9kuxhAp hRAS3U21VloH92e7f2CMzVY7w7C6n3AHwpYJ5vxvNzekz84KhVMBBEGv1zIMa7bajQZJ6wlohJCL c3l4HiGEKGj6DAAAAAAAAAAAAPCjdktAa6S81XNjbTYXXrLHs2SPp6WZ1VK+pZfaAa3JnPrwhc8/ +uthgaYxZvWdsmfN6qeDGw7eFzDGPM9X1zXERkW00X8jeHzFd395fV0pkzh6wcu9NBQ0qgBBYFk2 Niqipr5Brw2h6TY6CLndDoSYmw8AAAAAAAAAAAAAwA3t1oKjqFa57mykzdN2Rlsr46d0q04LhzQN CEAURafTte9o3qNjc0JC2rMCGoDb1WS2frt1d86gPnK5vJUc9KcnXuSEHwufJYx89q1NogEAAAAA AAAAAAB+tdotAQ3AncMYcxx3/lIJy8qGDezb0eGAXzuKovYePi7yXHqXZImk7UYcAAAAAAAAAAAA AKAZuC0fuFdgjAVBrKiuu15ZP+3hMdAnA3Q4jHF278x13+7QajRx0ZEMQ0MOGgAAAAAAAAAAAOC2 tNHYFICfhyiKHMdVVteeLiweOSxbqZB1dEQAIISQQi4fOTT7dGFxZXUtx3GiKHZ0RAAAAAAAAAAA AAD3E2jBAToMvkkQBI7jrlytKCmvHjV8YGJsFM/fzdtUAnA7WJa9Wl61a/+R5NjITokxEomEYRjq po6ODgAAAAAAAAAAAOCeBglo0AF4nhdFkeN4p8tlsdlNJqvZ7tSGaIYM6KuQSSH7DO41LMs63Z4D R09aLVatSqHTaULUKoVcLpGwNE2zLPQyAgAAAAAAAAAAAAiMeu+99zo6BvDrpVAoIiIioqOjw8LC lEql0+mEFgfg3kTTtEKhcDgcdXV1lZWVNTU1Tqezo4MCAAAAAAAAAAAAuNdRVVVVHR0D+NVRKpU8 zwuCIIqiKIqCIJCa6I6OC4A2kHpnhmHomyQSicPh6Oi4AAAAAAAAAAAAAO5RrN1u7+gYwK8OnHXg PiUIgiAIHR0FAAAAAAAAAAAAwH2D7ugAAAAAAAAAAAAAAAAAANwVQkd3HWAxxh0bAQAAAAAAAAAA AAAAAIB2R1GUx8Mp5LIOTAKzwc8qiKLF6rDanQ6Xy+PhBBEjhBiakkolSrlMo1KGaJQMDSXVAAAA AAAAAAAAAAAA0PFomuZ4QUXTHdhTNKgEtMvtqW0wmyy22OiIlE5JGo1SwkpomkIIiSLmeM5qdVRU 1Z4rvqYLUUcYdTKp5C6HDQAAAAAAAAAAAAAAAKA1FEV5OJ6iqA6MoY0WHIIgVtc3miz2zLSUiHAj TVOCIIiiyHEesiBFURRF6bTqUIO2W1rn6pq6wouXdRpVZJiBZKgBAAAAAAAAAAAAAAAAdAiPh0MI 3aMtONweruR6dWJcdL9emQghnuf8A8UYY4xFUeR5nqKoyAhjRLjxytWyS1crkuOjJCxzF2MHAAAA AAAAAAAAAAAA0AKKojwc18EV0C294HC6r5RV9slMDzMaOI4Tg7hbIsbY4/HQNN0lOUEbos47e+Ha pfOQgwYAAAAAAAAA4KVUKnv27KnRaPxfslgs+fn5Dofj548KAHBvauUdAwAQjHu3BYfbw10pqxyU 1UulVLhcrttaoyAIgiAYDfpBfXvGxMRkpnaSSm7jVocAAAAAAAAAAH7Bqqurd+7cOWjQIP+XCgoK HnzwwcjIyJ8/KgDAvamVdwwAQJA8HI86tAUH7T9JEMSS69W9M9OUCrnb7cY/idvtVirlKUmxF6+U BVM9DQAAAAAAAADg1yAyMtJutwd8yW63Q/YZAOCrlXeMu0R+0885KAB3D0VRHk8Ht+AIkICurm+M j4kyGvQej6f1hckdCFt61ePxKOWyUIO2orr+TsMEAAAAAAAAAAAAAOA20TTNsizLsjQdIAkWUH7R 5SDnpCiKrLxjs3sAtIKiKA9/j7XgcHu4RpOtV/d0UvvcypI0TW/ZsoVl2QcffLClGmebzRZu0J05 fzkizACNOAAAAAAAAAAAEB14ITAA4L5zJ+8YFEW99dZbFEX9/ve/D2Y9vtf3t7lmmqZXr16NEHry yScFQWjfdzaKohjm9u6s1r4xMAzjn7XEGAuC0F5DBOTd8Hbfpf5omvb/ZUIUxbvUzoF3ufJefbVh +/Zm0w0PPtj73/+W3J26e4qiOI6nKCqYU/ounXLNk8I19aaM1E4IodZ3NE3TS5Ys2bFjB0LIZDJN mzYt4PwYY7fblRwffb2yplNCTEtrczqd165dq6mpIfeaUCqVERERCQkJCoWizQ0AAAAAAAAAAPDL VlZWVlhYWFdXhxAKCwvr1q1bfHx8RwcFALgP0DR9+fLloqIihFBpaWlCQkJ7JRZJqu7zzz/fu3cv GWjGjBntnv9dvnz53r17g6ldxRgPHz58wYIFPM+3VwAURb366qulpaUkRSuKYlJS0ptvvtle6w+I jLVs2TKE0Lx58yiKuku5YJJ6Pnfu3O7duy9fvmwymRBCOp2uc+fOI0eOzMjIaPc0NO9yFbzyStKO HRl+Lzl27DiLUPe7loMO8qxkGGbVqlXb/fLjLRkzZsysWbOCOeVuqYAWRLHJbO3TM4PjuJb+YEjb jWXLluXm5iYkJPA8/8UXX0yZMqWl+d1ut0qtvlRqToyLYgJd7FBZWVlQUGAwGPR6fVRUlMvl0mq1 hYWFpaWlmZmZMTEtpq0BAAAAAAAAANz7TuRfyOqR2mxi8DmaU6dOnTlzBiGkVqt5nq+qqqqqqurZ s2efPn3aOVAAwL3qJ2d1KYratGlTREQEQmjjxo2LFi1qc1WtV0Cz7I+lnGvXrj148GBcXBxCKDc3 F2M8Y8YM76t3ngjGGB89ejQpKUkikbQ5M8dxx48ff+aZZ9oxA44xrq2t7dKli7ceubKyMpja8J+M YRiPx/Pee++R3wwaGxsXLVoklUrbveaaZdnGxsbFixdfuXJFo9GoVKqQkBCEEM/zly5dysvL69Sp 03PPPWcwGNoroc+5XIWvvhq3Y4cy0KtKhOJIDvrNN9n2zkEHX9SPMd6zZ098fLxMJmv9Zw+Mscvl ys3NnTlz5m1XQFusjugII9Vy+TMZm2Sfo6Oj5XK5yWSaP38+avm9AGPMeTxhobomk8Vo0DV7taKi 4vz581lZWQqF4vLly1euXMEYO51OURRpmj59+jRCCHLQvyQ8z3/++eeDBg3q1KlTs+mrVq3KyclJ TEzsoNBAAEeOHKmqqpo8eXIwM9/5QYTTAAAAAADgvuZ0uU/kXyi9XuX2cLoQdVR4aN/uKWcvlp45 f9k/AR2ksrKyM2fOqFSqBx54gKSQampq9u/ff+bMmbCwsI6sg+ardi3/0jRm4dRkWYfFAABoFU3T 169fLy4ujo2NRQgVFxdfu3YtLi7uJ5e1six78uTJZcuW2e12iUQSEhISGRmpVCoRQpGRkUePHt2x YwfHcSqV6plnnunbt++d5y5VKpVerw+yAtpqtd7hcAED0Gq1JACMsdlsbvchvFiWNZvNb775ZkND w8KFCxFCH3300d/+9rdXXnlFq9W2Y2U3wzD19fV/+ctfJBJJYmKiVCr1tggXRTEkJCQ0NLShoeGN N97429/+Fhoaeufp79azz8RdzUEHb/LkyUeOHOE4LpiZJ06cGORqb0lAW+3OhLiYlq4XIGfb8uXL SfZZJpNZLJbx48ePHTvW7Xa3MgbHcRqlwmy1N0tAOxyOM2fODB48WKvVYow7depks9lqa2urq6sR QizLxsfHnz59Wq/Xkz9mX+fOnVu4cGFaWtrSpUvJEB9//PHq1atramqio6Nff/31UaNGffbZZ//4 xz98l+rVq9e6det8/24vX7788ssvFxYWhoeH/+lPfxo7dmyzgdqcwT+YZqqqqvbu3dvQ0CCXy3v2 7NmvXz+KohobG3fu3FlbW6tSqYYOHdqlSxeEUPATiYMHD1oslnHjxjU2NnIcRz6N3bn2XVszDMMM HjzY98bWZCtGjx59N4ZrBRmXnGMmk0kul2dnZ2dmZt7VQYPct7W1tVu2bAkLCxs/frx3wSDPDY7j 9uzZc+nSJYRQRkbGsGHDbrd9D7gbBEHYuXNnZWWlWq2eMGGCUqnEGG/dujUpKSk9PR0h5HA4jhw5 cuXKFbfbrVarBwwYkJaWRpbFGG/YsMHlcj322GPen51bX5sgCKdPny4oKLDZbBqNZtiwYcnJyQih r776irzBIoRCQkL69euXkZGB7qXTxv/kBwAAAMD94npV7e5Dp1zuG7eybzRZGk2WostXRfGOCuUK CwsRQiNGjAgPDydTIiIiRowYsWnTpsLCwlYT0ILpwoHtufllJg5RMl18n/GTBkdL7yQWAMB9wLdt cUNDw8aNGxUKBfmyT54+9dRToaGhZIaf0M545cqVGo1Gr9czDCORSARBaGpqIi/J5XKSx8QYr1y5 sm/fvne+OTRNkx4UbrdbFEWWZaVSqTcdzHEcx3E0TUulUoZhgr/L4u0GQB6TntftPgTBsmxVVdU/ //lPiqJee+21o0ePIoRee+21d9999/XXX//jH/8YFRXVXjlojPG7776rVCr1ej262cVYKpUihDiO E0VRKpWGh4c3NTW9++67zVKLP02b2WfCm4Pu9d57dz7oTyAIwvTp02fPnh3k/E6n02azBTPnLS04 nC63SikPmIAmnTeWL19+6NChmJgYhULhdrsfeeSRnJwccq5758QYN/spSRAEhmEdzuZJ6pKSkpCQ EI1GI4qi1Wrdv3+/74I2m42iKEEQSkpKunXr5rvgmjVrPvjgg65du/rOfPXq1Y8++qhz585r1659 6aWX9u7d+8QTT0yfPt0bw6xZs0aPHu2bffZ4PM8999yQIUO++OKL48eP//a3v+3atatvZW6bM2CM 165d2ywYXzzPb9u2LTMzs0+fPnV1dd98801cXFx4ePiWLVsSEhKmTJlSUVGxdevW0NBQrVYb5ESD wUBiu3jx4kMPPYQxPnToUEJCQrukjNt3bf4oiiKJMMK7FT/zvTi947IsO3r06NDQ0IqKii1btsTH x+t0zev020uQ+7agoOD48ePefw4RQoIgBH9uXL16tby8fO7cuW63+/PPP09NTY2Ojr5LWwSCV1NT 09jYOHv27IMHDxYWFmZlZZWXl1utVu9bhyiKKpXq8ccf12g0RUVFu3fvjoqKImejxWKpr68nP1yF hYUFszaPx2MymSZOnGgwGAoKCrZv3z579mzyS17fvn0HDhzI8/z58+f37NkTFRV175w2/ic/AAAA AO4XDpd7V+4PTrenS1JsVo80XYjaanN8t+uQ2WpvaZEgr+Cur69Xq9Xe7DMRFhamVqvr6+tbWRBb z23eck6V8/jCNB1ymOqaaEPbl7ADAO5RQb5jsCx75MiRvLy86urqqqoqjLFOp6MoasSIERRF7du3 79q1a7///e8pioqKioqMjOzTp8+AAQOapTVb6VeAMaZpWqVS/c///A9C6F//+teqVav8w3jmmWfc bvedt6rwLu5yuR588MGsrKylS5fW1dWRW6Y5nc7Q0NCFCxfm5eVt2bKFfONr3/4YAVd1N1pwsCxb VFT0zjvvREZGLly4cO3atZWVlQihysrKV155ZenSpX/+859/97vfpaam3nkOmmGYAwcOmM3mqKgo mqblcvlTTz21bdu2a9euIYQ6deqUk5Pz2Wef8Tyv0+mqqqoOHz48aNCgOyyCJtnn2K++Cp869VxO jnvv3t4YI4QEu71y2bK6l17qfXOXVq5ciebObd89HHwLDoSQw+Egt+i7rZW3OdstFdBuDyeVSASB 91+SpukVK1YcPnw4KipKoVAwDMOy7Lp165YsWeJyucj8PM8nJyd/8MEHzRYXRZGV0N5fwr0qKysj IiJIJuXq1av+51BVVVXv3r2LioqaJaA7d+68YcOGtWvXlpaWkil6vf5f//oXeTxu3Li33nqrvr7e aDR6i/jOnTtXWlo6adIk3/VcvXq1srJy/vz5crl8yJAh6enpmzdvfuGFF4KfgaIo/2A8Hs+aNWvS 09Ozs7MxxjzPx8TEUBRlMBhkMhlJDFmt1j59+pAq77CwsOLi4i5dugQ5MTs7GyF0/fp1iUQSERFx 4MCBq1evXr9+/dSpUxMnTjQajWazec+ePeXl5SzLdu/efeDAgQzDYIyPHz9+7tw5u93uLZgVBCE3 N/f8+fOCIISGho4bN+7MmTPN1maxWEitpXcpnufXrl07ZMiQI0eOWCyWOXPmlJaWHj161OPxkFr4 1NTU4cOHf/LJJ+PHjycdVE6cOFFaWjpt2jRBEHx7LHi3wrtL/ePs1KnTV199lZSU1L9/f4SQ2+1e tWrVmDFj4uPj24xt9uzZx48f927g+PHjtVqt77je5k3R0dESiYTEbzab9+7de/36dYqi+vXrl52d HXCXejyelrZxzZo1aWlpV65ccTgcCoVi7NixOp2u2ZGyWCybN2/2PSETExNJxnD69OkFBQWk/z1C KPgTJjs7WyKRkDshiKJIUZTc56qNgFvhfzTNZvPOnTsbGxuNRiP5MZBoc2/PmjWLoqirV6/u3bvX ZrNFR0ePGTNGqVQGPHw8z/tvvvcKg/Y9DebMmSOTtXhdJM/z/sdLr9cH/JMhM/fq1auoqMhqtep0 ugEDBhw7dsxisdA0PWbMGFLd7x+Sy+VSqVQMwxiNxqqqKp7nc3Nzc3JyvO9RpOqZPE5OTt63b5/L 5SJPL1y4EBsbq1ar8/PzR44ciRBqc20KhYLMiRBKSUk5fPiww+HwvZSEZdnU1NRDhw45nU6EUEun Ddne7t27X7p0yWaz6XS6MWPGqNXqgDuHhNrsrWD06NH+e6OkpCTIkx8AAAAA94tjeYV2pzMlKW70 kH5kytmLV5rMlrs6aOvfeEVnk50y9usaqZYhJItU3/xgK5gvHti69/R1q6iK7j1ywvCuWgY7yw5v 2V1wvcHG0arozJyJOakhNF+16+NtshF9rAf2njPHT3lucoLz4oEdB/KvmThKEZU97fEBCCHEVR7/ ZvepKyZOZswYMWlMdz1cfQhAB1u5cqVKpVIoFEajUSaTRUREdOvWTa1WI4QmTZpUUFBQXV3tdrs5 jisuLi4oKPB+EQsSacdMml24XK6Ghgb/eTDGwXRtDgapB+V5XqFQ0DT9wgsvLFmypKysDCEUExPz /PPPcxynVCp5nidztsug/gH4Pm33IcjPBsuXL+/bt++4ceMWL15McjgIoYaGhiVLlvzmN7/ZsmXL v//973nz5pGCqjsZjqKoM2fO6PV6mUzGcZzBYAgPD4+JiSFpvbi4uMjISJ1OV1tbK5PJ9Hr96dOn Bw8efIfbSL6Nh0+dai4p0f7hD2V79yKE3qOo3v/3f51HjqxCiDyNfuyxaV988cPcuR1VlsUwzOrV q3fs2BFk15cHH3zwqaee+ik3IQx4c0mapr/77rv9+/fHxsaqVCpS78yyrMFg0Gg03jUIglBRUeGf +cYYUwgLYvPfCiwWC8b4+vXrJAPSjEql6ty5s0ajsViaf2ohGdiWPm0UFRWpVCrf8j1RFBcvXjx+ /PhmhXVVVVVqtVqj0ZBtTE9Pz8vLu60ZAgbDMExcXBwZSyKR9OrVa8eOHYMGDbpy5YpOp4uJiSkv L5dKpSQjRlFUWFhYVVVVZGRkkBPJcKdPn05PT2dZdujQoRUVFd26devRowc5Cps3b46Pj3/44Yed Tud3330nlUr79+9PUVR0dHRaWlpISMjJkyf379+fmJhYW1t76dKl2bNny+Xyuro6jUYTcG0xMTGT Jk26du3a9u3bSa2BIAiHDx8ePXq0wWDweDz79+9/+OGHIyMjd+7cyTDMyJEjPZ7mvzf4890K78ka MM6ePXseP36cJFurq6tpmo6MjAwmtmYbSP7J8R3XG0xBQYFSqTQYDGS1ERERzzzzDM/zoii2tEtb 2TRBEK5evTpt2jSGYbZu3Xro0KEJEyY027dGo/G3v/2t/7KkNZUvq9Ua/LkRGxur0Wg2bNhgtVqH Dh1K6uVbOTHIS949RlHUli1bUlJSZsyY0djY+PXXX5Nik2D2NkVRGOPy8vLHHntMKpVu27Zt9+7d Dz/8cMDDJ5VK/Tf/Lp0Gbf7DH/B4BYyBXJZRXFw8ZcoUhNDnn3++efPmGTNmhISEHDhwYP/+/dOn TxdFMWBIdrud47jKysrQ0NDCwkKtVnvq1KmGhoZu3br17t3bG4zH4zl58qReryfvITzPFxUV5eTk KJVK0ohDLpcHvzaEUH19vVQqJe9jXqIoXrx4US6Xk1FaOm3IziktLZ0yZQrDMLt37ybHNODOCfhW EPAAJScnB3nyAwAAAKADVVRUvPrqq/7T33zzTf/79JReqxQFcUCfG5VDh08WnMy/0Pr6gyzvIr+4 19bW+hZB19XV2Wy2qKioVhZk9CkpmpN7d5yQDe+VoJPc+CYtNvywceuV2IfnT0tEpTvXbPpOG/Fk X51MF5s5qtvDsVpUd3ztql2H0zo9FEshxNef2n/9gXFzRxkVErr+yIbNxVFjZ76QouVNTYKWRXUI c+UXhamP//ZRhTl//ard+1K7PNqpw9p2AvCLFuQ7Bsb4z3/+8/Lly0nbjVmzZgmC4PF4SL44JyeH XAn96aefnj17lmGYl19+OWAWq/UKaJqm33rrLYSQTCabOXNms87LGo2GfD9qlwpoUmYklUo//vjj +fPnp6WlPffcc8uWLRME4dlnn3W5XMXFxcuWLTMajQghUn14h4P6pkowxizL+uYiWZb1RkXcYTqY Zdnvvvvuiy++mDRpUmJi4pIlSxQKhUajIV/kJRKJzWZbsmTJo48+Gh4e/v7779fV1U2cOPFOBsUY WywWuVxODmVhYeEbb7xht9sNBgNpgLlz506XyxUaGkrqoxsbG9ul6Fs2YoRgt3/SqdOLGOcjhBAa s317bJculfv2eS/nSQkNRYc+bX8AACAASURBVAiVItSlreHq6+sD9gFesGABORkCanMrMMb79u2L j49XKBTB3ITw4MGDTz75ZDA7p3nrFhwIQsjj8YSEhJDaZ/LrB8MwCoUiJCREe5NOpyOtSP0JQuD+ 7iaTyW63i6JI7jooiqJCoVAqlaIoJicnR0REcBx3W8e4vr7+9ddf/8Mf/kBuXkmUlZUdPnzYv4OJ 0+mUSCTe/iEqlcrhcPgO1+YMATEMM2rUKG+z5i5dulAUdfDgwZKSkr59+5Jkq+/fqlQqJV17gpyI EDKbzfX19QH7fphMJpPJ1KtXL4Zh1Gp1nz59ioqKyF9mfHw86RyflJTEcZwgCAqFguO4y5cvY4wj IyP9u76azeampqbevXszDBMfHy+XyysqKhBCGOPu3btHRERIJBK73Y4QCg0NpSgqLi6upqYmyHb+ LW2Ff5yJiYlut5v8rnj+/PnOnTtLpdJgYgu4gc3GxRjn5uZevnx50qRJEomE7MD+/fvLZDKVSqXR aFrZpa3o3r07eZuOi4szm80/+RYHCKHgTxiEUFVVldVqtdlsYWFhZBvr6+vLy8tb2QrfPWYymRwO R48ePWiaNhqNSUlJ3oPV5t4mc/bs2VOpVLIs27t378rKSrfbHfDwtbnV7XgaBLOTAx4v/xjIzBkZ GSzLsixrNBqjoqLIu01cXJzD4RAEIWBIRqMxPj5+zZo1DocjMTGxoKAgLCyMoqhp06YVFhaSgl+X y7V06dKlS5eWlpaOGDGCRF5dXS2KYmRkJOmGT64JCmZthMPh2LNnz6BBg7w14CdPnvzggw8+/PDD 48ePjxo1ihQ7t3Ta+G4vRVEZGRnkmAbcOQHfClo6QAAAAAC498XExMybNy8kJCQrK2vAgAFZWVka jWbevHkB7xJvczgwFkPUKvJ0UN/MF+ZM8/3vJ4dBLofdt29fbW0tmVJbW7t3716EkPfDamCSqOFP TOsnK9664r2lX+4+W+vGCIlNF842GPr1T9IwtCaxZ4qi9nyZHSM6JDElTiehKElocnIIZ3KQz32Y 0vUa0iNKI5WwYtOFc03G7MGpoTKGVYWGhZAEDRXRt2+ihqFYfVKKXjQ1un76p34AQDvgeb5Tp07z 5s1zuVy5ubnLli0zm83eBLHNZrNYLEuWLDl48KDL5VqwYEFSUtLtpjJJH+S///3vf//73xFCmzdv PnCrzZs3Y4zbq1JYq9WKoiiXyzUazfvvv3/69Gmn07lgwYKFCxe6XK78/Px3331XpVLJ5XJRFJsV Hv00GOO5c+fOmDFj5syZzz77rEql8n1VpVI9++yzM2fOfPzxxwPWFd0unuenT5++c+fOp59+evXq 1RqNRqPRkD7XFEVJJBIyZc2aNbNnz961a9f06dPvvAuHTCYjSUhBEEgSUqfTkSI/nU6HMVYoFKQk kabpVq6ovi0h48YxKtVD27dzdrv3S7u5utr4wAOkFeyLGPf88MOL77wTzNqMRiO5I1RaWlpGRkZa WppSqZwwYUIr2ecgPfrooxRFcUFACE2YMCHI1d7SgoOhaV7gSRmj73TSgtpisVy+fNl7X0hBEFwu l7f/BkJIFMW4uDj/McjFAgzdPLmpUChIdXNSUpJWq1Wr1RcvXtTpdOXl5aIoMgxjMpnq6ur870DY kqamppkzZ06YMOHRRx/1nf7xxx9nZWX5357Cez6Rp3a7vVmCv80Z2uR0Or/55pvs7OyMjIzy8vKt W7eOHj1aIpH4piM9Ho9EIpFKpUFORAgVFRVFRkYGfGdxuVyk/Tx5qlQqvY2HCgoKioqKSLqfpNIM BsOkSZOOHDly5MiRrKysZoWTJH5BEFavXk2e8jzvbQtAelkghNRqNUVRtbW1MTEx165dCw8P9+9J HzBrH3ArAsYpl8uTkpLOnTtHTo+HH344yNj8N5CiqGbjms3mkpKSxx57jGTiyA70fX9paZe2vo2k JRPyu1zFq6UuBP5zBn/CWK3WzZs3kzvOffvtt9u3bx89evTOnTu7du0aGRkZcCtIbN495na7fWfT aDQkqxjM3ia8/zjJZDJRFHmeV6vV/ocv4Ob7tuBox9MgGP7HK2AMzWb2PVXIjSZaComm6SFDhgwZ MgQhtHv37oyMDJPJFBcXRz5GWCwWnU4nl8sXLFggCEJZWdm33347bty4uLi4M2fO2Gy2ZcuWIYRE UTx9+nSXLl2CWRuJZMOGDV27dvXezxDd7AGNMS4rK/v+++8nTJig0+laOW3InifLkrOO5/mAOyfg W0HAvRH8yQ8AAACAjjV06NDCwsIrV65ER0dXVlZ269Zt6NChAedUyGUWm73JbNFrQwLO8JPFx8f3 7NnzzJkz33//PbnQzXsFbV5eHvmdvqVlKWVc34ee7JNTX3xk29a1G9Gc6akOk1Oo2bXi3b0IIYQF ngpzchg7q07nHjpbbsMsI1jMQuiNT/YUq9LJyUd50Wl20+oQ2a0f7ClGoZaSSTRNIXRn91sEALQH p9PZpUuXmTNnfvLJJ3v37tXpdOTSTIQQy7Lbt28/cOCATqebNWtWcnJywCvy20TuZIYQEgShpRYc d7gVXgkJCRUVFUqlkhQALV26dNasWQMGDKAo6sSJEx9//HFYWJhOp2NZ1uFwtPGzXHAoinr11VeX L19O8treex4SGo1GJpM5nU673d4uCWiEkNVqtVqtLMtKJBK1Wk3TNMdx5Ku9XC6XSCQMwzQ2Ntrt drPZ3C4jRkVFlZeXcxw3ceLEy5cvX7t2zWazkZtJkuYtSUlJ8fHxW7ZswRi316W6yowMhJCtvBwh JH/sMYTQ9jFjEEIvYlyHEEJo0/PPlyxezCLUJbgV9ujRo6SkhFwY3dDQkJSURC64vxOCIEydOnXm zJlBzu90OptdAdCSW1pwSFjGbncp5LdkuwiXyzV//vyPPvro0qVLpAsHz/OTJ08eNGiQ72w8z5OK Zt+JNE07XG65rHnNY3R0tMlkio6OTk9PJynLzMzMs2fPkoTXyZMnw8PDq6urfVMnrSDZ58GDBy9a tMg3AVpTU7Np06ZPPvnEPysaGxtrs9msVqtCoRBFsaioqNmhanOGNtXV1SGESEVhbGxsSkpKfn7+ kCFD3G632+0mVy7U1dWRfGiQEzmOI5fkB0xrklA9Hg/JITocDplMRlFUeXn54cOHp02bZjQaa2tr v/76azJ/dHT0lClTqqurN27cGBoa2ixNT27h6r19GUF+a/KOrlQqhwwZsmHDBp1OFx4eTpJiJIvn PbvIMfXV0la0FGePHj02b96ckJDgbRoQTGz+GxgTE9NsXKVS+eCDD3pTbCRt6t2BrexSMlBL29jm DxUtdSHwF/y5YTKZMMadOnWSyWSPPPII6U5O03RGRobD4WhpK3yjJRlGjuPIbN6NCnJvI4S89z8l WVfyk4n/4Qu4+d6fMdv9NGiT/8wtxdDmmgOG5FVbW1tTUzNs2LADBw74n0UIIYZhkpKSyI0B9Xp9 eXn55MmTSZG1y+Vav359U1OTt5tQK2tzOp0bN25MSEggH038tzcuLk6r1V69ejUxMbGl04bM7P3n xOl0kmMacOcEfCtoaW+01ycVAAAAANxtc+bMee211y5duqRUKufMmdPSbMnx0XlnLxw4mvfImOG+ 0zmel7BswEWCT9D06dPHaDSeO3eOfL2KiopKSkrKy8tzuVxbt24lN/BoZXFKauw6aNilgg2XG7h0 jVbOxoxa8ESaz2cTT9n33+w3D3jqqT5hUqFm74o11T8ue/NjFC3XSMUGmxsjqe8nq5/5ZuoA/Hrd VkrXbrdnZGRkZWUdO3aM5DG9ZUbk+v7s7Oy0tLQ277QWsPKMlOW+8847CCGZTDZ79mz/FhxJSUnk q9kdZqIFQRgxYsSSJUtIHlar1dI0vWbNmvLycpqm9+zZExkZGRISwrKsIAg2my0nJ0cQhDsclOO4 tLS0559//tNPP5VKpeyt7+HkqSAICxYsiI2N/WkZ/IBIZw9yqbfdbn///fcRQi+88IJeryfT26UP BkJIEISBAwd++umnCoXi1KlTCxYsILW2JG1Iqqw8Hs/ixYsxxg6HY+DAgXe+VxFC7qio3OefL128 OLFfvy6PPooQehFjhFD511/bbs7THSHy71mQw40bN2758uXl5eVyuXzcuHEtLdWsy0Xr7Ha7fxKv FUGu9pacrEIurW80kTq+ZkRRdDgcc+bM6dKlC/kTpShqxYoVmzZtMpvNjTdZLBZyVHzRNN1osioV zUvWU1JSaJouLy8nJc/kmoLw8HBy4QBFUWazmabpgI0mmiHZ5/79+7/44os8z7vdbm+54rp16+Lj 47t3706eejye3/3ud1u2bEEIJSQkJCcnf/TRRxzHHTt2rKCgYMKECbc1Q0CCIOzYsaO4uBghpFar XS4Xac5rs9nKysqioqJ0Op1er8/LyxMEoby8vLa2tmvXrsFPJBewe5tck/c+729uWq1Wr9efOXNG FEWn03nq1KmuXbuyLOt2uymKUigUgiAUFhaS/dPU1ER+PgoJCZFKpYIgNFubTqfTarUnTpxwu908 z9fW1pKr732Jonj27NmRI0fOmDFj9OjRJJNL07RSqbxy5QrGuKmp6fLly82WarYVXgHjRAiFhobK ZLJjx46lpqaS96NgYvPfQP9x6+vrT5065S2b1el0ISEhJ06c8Hg8LpersbGxpV3a5jY202zfBi/4 c4OUhFy/fh3dbKNstVr1ej35hyrgVviPpVAoCgsLyUZ5b60ZzN4m8vPznU4nz/OnTp2Kjo4miWz/ w9e69j0NfpqWYmhTKyEJgrB///7BgweTe2BWVVVxHGexWNRqdV1dXUNDgyiKpDa5vr4+JibmypUr Go0mKiqKXHNkNBojIyPPnz/f5tpcLtfGjRtjY2Ozs7MFQfC9koMgozQ1NUVGRrZy2pCZ8/PzHQ6H 7zENuHMCvhXcvQMEAAAAgJ+HTCZ76aWX7Hb7Sy+91MplyP17ZUhZ5uLlqxu27q1raEIIVdc2fLN5 z0drN14qLbvzMBISEsaOHTtr1qxZs2aNHTs2LS1t7Nixcrmc5KBJ2Vozgrnk0vUGm0fEgrP2Qv41 Th+nZxl9Wjdd7eEjxY1uEfNOU01FgxsLLoeHUqgVEkqwlJ65aA30uY/Rp6Zp644dKW7yiILLXNfg hGJnAO5lbre7pqaGpmlypX5hYWFhYSFCKCYmhqbpmpqaYO5cFRDJZf/lL3/5y1/+gjH+/vvv99/q +++/R+3085QoigkJCV27dvV4PBRFSaVSvV4fGxt78uTJEydOxMbG6vV6UqHs8Xi6du0aHx9/J/0/ vRwOR6dOnebMmUNK2Rgf5DKUuXPntm/2maBpmozicrnq6+vr6+tdLheZ4l9U+pOJopiampqUlCQI QkFBwdKlS+vq6hobG+vq6siD2traDz/88MKFCzzPJyUlpaam3vleVU2dWt2jR8HixbEIXevR4/S0 ad9Q1HsU9R5FrZ82LQ6hPIoqWbyYzKycPDnI1UokkunTp7tcrunTp7fLfS8ZhlmzZs3TQVuzZk0w SR7UrAWHRqUsr6pJTogmjTyawRg7nc45c+asXLny8uXLCoVCq9V+9tlnGOPhw4e3kp1hGKa2wRQf 2/wGESqVKjs7Ozc39/z589HR0eSPMyYm5vz58xEREeQdYeDAgc3azQR04MCBCxcuXLhwYdWqVWTK 1KlT//nPf5rN5jVr1vzjH//wJto4jjtx4kRiYiJCiGXZDz74YNGiRenp6Tqd7o033iC/gAU/Q0Ak y0kugTcYDA888MCuXbtsNptEIklPT+/duzdN02PHjt2+ffvixYvlcvnQoUPDwsIQQsFMNBqNhw4d SktL855YFEX1799/27ZtFy5cePTRRyMjI8ePH7979+7FixczDJOent6vXz+EUHx8fFRU1MqVK5VK Zb9+/chetVgsO3bscLlcLMt27do1ISHBf20TJ07cs2cP6QBgNBonTpzof25pNBpydzKyyRMmTNBq tcOHD9+5c2d+fn5YWFifPn1887MY4zNnzvhuhVfAOMlZlJGRkZub622uzTBMm7E128D4+PjNmzc3 G9disZArL0i+jGXZCRMm7Nq1i3Rzz87OzsrKCrhLGYZpZRv9+e/bVmb2dVsnTE5OTm5u7q5du2ia TkpKeuKJJ3bs2LFz587Ro0cH3IpmJBLJuHHjduzYcfz48bCwsB49epCUfTB7myyemZm5bt06i8US FRX10EMPkb9r/8PXuvY9DX6almJoU8CQyLe1S5cuyWQycp1BSkrKxYsXV61a1blzZ4PBcO3atdzc XNK+WavVDh48OD4+/osvviD9uMmaKYrKzMzct29f//79pVJpK2u7ePEi+df6zJkzZNmMjIycnByE 0MmTJ0+ePIkQUigUWVlZnTt3piiqpdNmxIgRFEXFx8d/+eWX5D4/5Ji2tHMCvhW0tDcAAAAA8P+z d9/xUZT5H8C/z8z23fTeO4HQe4fQRRQRpAgqFsTuWU7vTj3bTz27Z6/YEbECAipNqvQaWoBACOm9 bp2Z5/fHJEtIYyEJcPh5v3hxyezsM888mSznZ7/7nf8VERER7777bv277DTmZTFPunLED0tXpWdk pmdkurfrdVpD+/zT7+fnd+WVVy5fvry5Omhuz9mxbPGpShcR6f3je068tpevQBQw4Lqrpd/WfPHm IheRMbjbuOvCA2KHDY5ctOy9V5ebglMG9Y+3HGnieJrgQVPGO5atnvffxQoZI4fOmN7E/5sGgEtI YWGhVqt1OBwvvfSS+l/rSUlJqampWq1W/TjFeZNluaqqSr1HfXFxceMd2rAFh8PhmD179jvvvFNd XW00GgVBsFgsaltINZZVi8wsFsvs2bPbsNzHarXGxMTcdtttn376qdlsVlMUl8tltVrvvPPO4ODg Nk+f63NnjJ6Xgp0Th8MxZ86ct956S6fT7du3b8+ePb17946MjFRLtXbt2iUIgpeXl7e395w5c9pk VeUnnjATDar7aLVaJNugYYra4so0ZYry5JOejxwYGPjggw963r74rDZs2JCQkODuE9ACm822ZcuW G264wZNhWVpamvsbhfOtew6PGz6Ac6W5dF8QBKPR+Nlnn2VkZBiNxoqKipMnT37xxRfNXROCIDAm 7Dl04oqRA8Wm3q84fvz4pk2bfH19w8LCZFnOz88XBIExVlZWNnjw4Pj4eE9OAy6itWvX2u32UaNG abVap9O5ePHi8PDwBr1Z2sSePXvS09OnTp3ahm98wQXTVj8+XAYXkiRJX3zxxahRo1p4y83tgr0U AAAAwCWrorJ62579x09mV1RWR4aHRIaF9OiS7L4zYX3vv/9+ampq4+1r16696667PD9iWVmZmkH3 6dOn9b0vAeDS1NwrRsv+/e9/BwYGVlRUOBwO9S20yspKvV7v4+NTVFT0wgsvNBd8GY3GvYeOde+U 2Dhj1Wg0zzzzjMFgUIuH9Hp9WVmZuxGlymKxBAcHu1yup59+uvW3y1MPajQav/nmm4MHD5pMJq1W 6+6D4XQ6rVZrp06dZs2apX4WufWHq89oNObn53/yySdqvmm1Wu+4446goKD2SJ81Gs3jjz8eExND RCdPnnz++eeJqMGWNjxBrVb72muvaTQal8tVXl5eU1OjFuPqdDq14Un//v2nTJlis9maLNI9D0yW Nc8/X1OvvWdj5qlTpccf521RVFefl5fXivXbxw7re9Z+zWqf9G3btnlST+1yufr163fFFVd48nM5 owJaYCwiJPDAkRPdUxKbC/jVt1ZuueWWzz777MiRI4qiTGmxMlyr1aaln+iYFNtk+kxE8fHxwcHB hw8fzsrKUhfCy8srOjo6NTXVYrGc9QTg4lK7D0dGRqqXptPptNlsavV326qpqdm1a9fw4cMRO/4v aqsf33mMY7fbFyxY4P4Hw30fA/cOvXr16tOnT2tmBXQBXwoAAADgUubjbRkzbMCFPKJaB33q1Klu 3bpdyOMCwKVMEAS1ulEQBJ1ON3To0Kuuukptl7F9+3Z1e3FxcUBAwHmUKs+ePXvBggXqxzoFQfDx 8WnweVm1j8SsWbPa6nQkSbJarTfeeGN+fv6GDRsyMjJKS0s5597e3p06dRo8eHB4eLjaEbetjuhm s9lCQ0Pnzp07b948Irrrrrv8/f3br/a5urparSh3Z/qNt7QJURS3bduWn5+vNo1MTU3Nz88vLy8X BMHb2zspKWnAgAFGo7GqqqpNWpqouChKjz9uJmoug26n9PmcyLI8ZcoUD4uaichms1VWVnqyZ8MO sKFBfht3HuyYGMMYa26VZVm2Wq0333zz8uXLRVEcN26c1Wpt8pdWEAS7w1lcVj2kf1ALk7BYLH36 9EEG9L+IMZaamrpq1aq0tDT1RTYlJaVjx45teAhZlr///vvCwsJu3bq1yR1d4UJqqx/feY9jMBhu ueWW8z4ueOgCvBQAAAAANMnPz6/lmxACwF+Nejs7l8uVlJQ0ceJEo9GoxpeTJ08eN27c4sWL8/Ly zq86SpKkDh06vPLKKy0/XVGU6urqs97k0HOyLJeXl3t7e0+dOlWr1aptJ2VZVntiNNkHv63YbLag oKAXXniBiCorK9030GoP8+fPd3+t5s6Nt7QeY6ympmb58uUDBw4cPnx4QkKC0+l0t5lWFEVdVfWO Ym2rhQy6XdNnzrlOp/Hk7RbOeUVFRXucO9u3b1+DTTkFJcXl1SMG9rTb7S1MjjGmVuA3d29ExpjB YNiwLa1Pzy5xUQ0bQAMAAAAAAMBf0/vvvz98+PDG29etW3dOLTgA4K+guVeMFhgMBl9fX4fDUVVV Vb8/gEaj8fLy0ul05eXlzX30v4UWHHB50Gq1vr6+LpfLZrO1YePsS5bZbN6y68CAXp2bi3AvgIYV 0EQUFuSXk1+y73BGlw5xLbyzwTlvuQBer9fvPXjMx9s7JiKkDWYKAAAAAAAAAABwNna7PT8/v/F2 SZI8qRfu3imxHSYFlwqXy9XKG1H+b+Gca7UeVUC3nyYOzxjrkRK/bnuaj5cpKiyk5TroJqm1z1m5 hQVlVTMmjkHTXgAAAAAAAFDl5+ebzeYm/zPTbDbn5+eHhoZe+FkBwKWphVeMdtKGrTMALgWyLGtE QZbli5hBs7179zb5gN3hXLV5b/dOid06xjscDs97mYuiqNfr9x7MSEvPMCjVWs3FbJ4NAAAAAAAA lxSz2ZySkmI0Ghs/ZLPZDh48eBE/IwwAl5oWXjEAwBN6vf5YZnZibORF7DfSbABNRC5J3rTzoMlk HN6vu1YrOp3Olm/+qN5d1OWS127ba7fZB/XqhPQZAAAAAAAAAAAA4KLQ6XRZuQXR4SFOp/NizYHt 2bOnhYcVhadnZB86drJL58QenRJ0Wq0kSWrNthpGC4LAGBNFUaPROF2uPQcz9h44lpIU1SkhWhDY hToLAAAAAAAAAAAAADiDVqstKC4LCfRzuVwXaw5nCaBVDpeUdvhExsm84OCADrERoUH+FrNRp9UQ kdMlVdVY8wtLj57MLSwsiY8J7ZYcp9dp23/mAAAAAAAAAAAAANAsURTLK6t9vS2eN1hucx4F0CpZ UXLyi0/ll5SWV9VY7S5ZIiKtqLGYjP6+XpGh/hGhgSLuNwgAAAAAAAAAAABwCRAEwWqzm4yGllsr tyu2e/fui3VsAAAAAAAAAAAAAGgnjDFZUURB4JxfrDmgYBkAAAAAAAAAAADgMsQ5Fxi7iOkzIYAG AAAAAAAAAAAAgHaiubj5NwAAAAAAAAAAAABcrjSbNm262HMAAAAAAAAAAAAAgMsQu4g3QAQAAAAA AAAAAACAyxh6QAMAAAAAAAAAAABAu0AADQAAAAAAAAAAAADtAjchBAAAAAAAAAAAAIB2cflUQP+5 Zfuy31YREbpaAwAAAAAAAAAAAFwKNBd7Am3A6XR+MO+rH5f8Omr4oAlXjFY4v3xidQAAAAAAAACA 9qF+LB4fjm8OY8z9d8uwkmfl+WLC5acNAmhFURhjzV1AnHPOuSA0zIQ552qpMqtz1gOpQzXYwhgr KCxZ9MuvkuQyGgyKirEmj+geQRAEXPEAAAAAAAAA8NekxiMul6usrMxut+PT5I0JgmAwGPz8/LRa LTWfnGIlPeHhYsLlqg16QKsXTZPjqAExY6z+o4qiqOlw/YxYluXGkbF7f86JsSZSY/Vbo1Hv5WVx lpYJAmOMaTWaBvNxh+D1k25FUZpMxgEAAAAAAAAALm+cc1mWS0tLvby8goKCRFG82DO65MiybLPZ SktLAwICWlgfrKQnPFxMuFy1tgJaUZSNf27bsWvP3+65vcEFpKbPn3/9rdlsnnjlOL1eR/XS54LC ovyCQofDGRwcGBYaotfp3E9pcAh3Rmyz2cvKy+12h3sfNUEuLCpxOJwy52XlFSdPZUuSzIgiI8J0 utNHZIzZ7Pb8/MKCoiKL2RwaEhwY4M8Yc88HAAAAAAAAAOCvQC3Uq6iosFgsZrOZ0DuiKYIgmM1m znllZaWvry81VbeLlfSQJ4sJl7HWBtAr16x7+oXXiahPrx7Dhgxw57lqlJybV/DlNz84XFJxccld t98sy7Ioilu37/r864U5efn5hUWiIFjM5vCw0FGpg6+fNlmr0bgzaPcXO3fv+23lmty8gtKy8rKy crvTUb/mmjGmKNzhcCicr1m36c+tO2RJJkbz3nsjIS5GPaLd7vh8/sKNm7fl5xfWWG2yLEWEh0VH ht82e2a3LilNpt4AAAAAAAAAAJcrzrnT6fT19UVg2jKDwVBZWdlCdoSV9NxZFxMuV61twdG1cyc/ X5+qmurPvl7Qr08PrVarDqgm0T8sWmpzOATGenTroiiKwvlb73743Y+/EBOISGBMEISq6pqjGSfS j2Vs2Lzt8Uf+FhMV6e4NXV5e8drbH65YvVbUaBljiiwrilz/6HUtPtRvSJJc1dUSV4gJp9tuHE4/ +sKrbx/NOMEYUxRZQ9aKqAAAIABJREFUo9HIMhUUFhcUFu/et/+m66feNnum2sa6NesAAAAAAAAA APA/QakjCAJi05YJgqCuFZ3ZS1aFlTwnLS8mXMZaVQEty3JYaMi0yVd/+OnXh9KP/bF+0xVjRqph riAIBQVFv/y6QhCE/r17DOjXm4gWfPfz9z8tUzgP8PWaPuWaAX17mUzGtAPpPy7+Zf/B9AOHjvzf f15//62X1Tpom93+7+de3rk7jRiLiQy/ZsK4hPiYkOBgo9FAVPsrzTnXiJq8gsJHn/i/8oqqcaOG 33fnrXaHQ6MRfX18iKi6pubxZ1/MzStUFGXQgN4Txo3umJxUXl6xYdPW73/+pcZm+/SrhaEhwROu GI23XwAAAAAAAADgL0JNS5GZeqiFhcJKnius1V9QqwJotenztROvXLT018Lisi/mfzdi2BC9Xqdm 0D8uXlZdYxUYm37dNUSUfjTjky/mM0bhoSGvvfBUXGy0OkhkRHjqsIHP/uf1Pzb8eSD96Dff/TR7 5jTG2OJlv+/YnaYocuqQgU88+oDFYm5uGi5JFgSBCcxkMvr6+ri3c84/+OSL3LxCzvn1U6+5787b 1HdXIsJCO3dK7tu7+z+ffN5qc3ww78uePbqGh4Y0zqC5GnVzEloVTTszf3zlk922lnbxHnjXgxMi tK05CgAAAAAAAAAAAMClpbUtOBRF8bKYb5g+5dW3P8w8lbPst5XXTrySMVZYVLxk+e+Msd49u/Xt 1YNz/s33PztdMufKPXNviY2JcjgcWq2WiGRZNuj1D99/x8HDR0pKy39ctHTShCu8vb0W//IbY+Tv 6/vQfXPNZpPL5VLvJVj/6Gpk7HK51IYbahm/JMuiIAiCkJuXv2T5CsZYQlz0nbfdxBiTJEn9TIQs y716dLtx5nXvffRlSWn5st9WzZk9s8kbEta292jVIjFzZEona7VSO2lH0bHMUkUMjE8I0NaejuAT bmTt/g6Q4+j8F788HD7tn3O6mlHsDQAAAAAAAPDXxOu52HP5H9DCcmElzxVW7K+ptTchVPPcK8eN /nHxspPZufMX/jgydYiPt/ePi5ZVVtUIonD91GuJyO5wHE4/KjAWHBzcv09PzrlWq1XTZI1GI0ly gL9/3949fl3xR1FxWXZufqgsZ+fkck5dO3cMCgzknGs0TU+V1TWBdv/tDqkPHDricslMYMOHDtTp dIqiqCXb6j6KoowfM+qTzxdIsrxz9745s2fWT585J8Yor0pakyl18JH7Rjdbf+0BTdCAKTcNqot8 5eJ1b732W2HI4KmzB/gKdYdTFFlp99+82iVq78Ocxl0VuSdzisoqXRpv36CwmAg/HZJvAAAAAAAA gEsAQkAPnXWVsJKew0L9NbU2gCYizrnBoJ89a/ozL76eW1j028o/Jl45dulvK5kg9Oia0rdXdyKq rq5x2B1EFBMdaTIZGxQyCwIjovjYaEWWBI22vLxCqxFlWSZBjIoIO49LUx2/qKiYGCmKkhAf597o 3oEx5mWxhIeFZmXnlJSWNj4tIvbp1pK9znBt2om3J+n9Tee/VlyRJaXum7qgmcuSJF22Dde5o2Dv mt9WbzlWrpzeyLzj+o28YlSvcCNiaAAAAAAAAICLytPY1LrjyUkPrAm/46uPbozT1W5zpr89/Y60 uT99MN6/tcmGbe//Xfcv/twPT/Y0ebS/UvDznOsXj//m0+v0K+6Y8tXQL764MeqMxMae9p+p/7A9 9cOzfTwb8KzaLIBu55Vsraq190z6sM+8r26JPZcETCnb/eOS3N7TJ8QbPNn9PANoLi379ei1h12N H+nQM2HTCPPphrwkLfj24OzcxjuyCdem/Bwnns/RG01m3Z6SE1FBNwde7B/Z+VJqyobNK7z6xg7/ 8LtACV1rW3AQkVpNPHzowJRFSelHj/+85NfjJ7JKysqJ85nTrmWMcc5FQWCCQEQOu8PlcqnNN9zU 2186HU7OGOeKKAo6vU4QRc5JbvF3uEGj9wZl/IKm9qqy2+zqIRqQFdnhcDBioig2OIrCuUAU7qPd m1Ue4a3Ri23XIOP0OE2cmlRxbPOaTftP5OaXO00BYREJ3YeM6Btrdl/QijV719p1u4/lFhRXOQW9 JTCqc/8RI3pHmWr3UGqydq79Y8uBU8XVTmb0CY3vlTpmSLK/lqp3ffzyomwiopMLX3xyYdhVD9/R z0cgIu7I37du3c4jJ7MLqxW9d1hij4GpQ7uG6BkRkePYNy99mZlyy99GVq/5Ydn2HJ8JD97R3/es v15K9eFl877ZXqJ+xwxms6jYamwyrzyxddH7h05MnTOpq29b/MoDAAAAAAAAwLk6pzYItQHVsU/f WDH29QnB4pmPtElaolYMejqUKemK6Vd0MBNJ7r6pTT+xrZKctmrBcQFWsjWYNnL0tAkRPsI5zYRJ 5Xt+/GKb/6TxcXpPsszza8FhKyz6e1PpMxEdK3LaFZP36WMLY8ckbnBwIqrKzrnyT/G1yaH9NESM Bfid26k1S3at2120xuh/U8CF7DLQljhxoiaDyfbSBhXQKp1We/PM6X9//NnMrOyTWadErbZrp2S1 +zNjzNvby8tiLiouzcg8WVVd4+vjXb9XBufEGDuYflQURYGxAH+/sJAQrUbjdElHjmaoAXf9+mX1 Mq0/Ap35i6p224iOjOCcC0zYf/DwuNGpsiyrLTjUHRhjBYVF+QWFgihGhIU1OB2BMSKa3du3T5Qz yjvYpLsQ72nIZTu/fX/xETvpA2M7dtZV5x4/si37yKGc6++a1MkiEJErb+28j9YWkSYgrkO3BNFR cvLIsa2/nMiT771lQIBI3HFq1aefbCwiY0hi5wSjq+RE+oE/vsmqvOmeiYmG+FFTrz667pc/C/36 TBgRGxBtYkTEbZkr5322sZCbwhKSu8W6yk4dO7D+hwMHs2+5fXyckan/BnDb8eWfrkurZDqfWE/K wKWiP+cvqEufiaKmPHR3b2/7wY+e+eo4ERFV7v3+a9+AuaPCdc0OAQAAAAAAAADt6xxiUyaEdQvc 8+47mwY9PdS34d252nA+nuzGLJ2n3dGFc87L3CFauwfQZ93hklrJ86RPuPaOxHNuJ1K7r6cZ+nmd Ji/Ircog8u4Qe2SCl1/d1prcnM4LS8M7GItPWlmMKah2OZm/v7EfERGVVYuCIHYMMfVDAnWxtU2u qpY5DxrQp1/vHhqNKGpERZZnTp+sVharN/cb2L+voihVVdU/L16mdluWZFmSZUmSNBpx/8HD23fu 4YqSEBcTGRGm1WoSE+KI0f4Dh/fs219/fzU7Vm9IePqqZUzdWHsTQlEkopTkpKAAf0a0buPmvPxC URQlSZIkWZJl9elffvM9Y4wrfNjgflRXiN3gvLqE6H2MF6RYl9ccWrb8iF0TM/aufz50x42zbr77 7/+4dUgwVe1ZsvKkg4jImbt1WxHpU65/9KG5N8yYdv3sux95aEI4yVl7TtQoRGTPXLeliCx9b3vk b7fOnH797Lsfvr2/F1Xt3njCyjV+Sd17dgjQEHkndu/Zo0OAlhG5ctf+uLHQq/esfz52/22zZsy8 +e5Hn7hzVIRQvGXRujypbmKOo+vSA8fNffy5Z/95Q3evs10xStWBX9fk1Hs1UVwuh8vpcNV/gSlc v2x3WRM16QAAAAAAAABwYXCPEenipz16nemPN+btq1bUTdw9glyZtvCZ26eMGTZs1LV3vPDToSqZ u7Lm35g6/eMMB+fckf7u1GHDrp+X4eCc2w+/MyV19sJs1+kaWM6JyJm76tW7rxs7bNTE2Y9/tadM 5pzLed/fMvq2RQXq8eTCxXPG3PpTvkxy4S9zRs3+LleqdyJy9eEfnp1z7ejho6fMfWHJcfs5nZ1n K3CpryTn3LrnuUkz31zx44v3TB83fPSkW5/+7kClzDnn5avuHnfnkj1Lnr3pqhs+Oubg3Jm/8f2H Zl01YtjIq2965KM/C5ycc84r/7hn1PWfnXA2PRPOOefOvHXvPDDzytRhV0y7+8Wlx63OrK9uuXFe tjPtqSuvfinN5tlSnPOF6rR9uMtORJVHMkPfSNPX/fFfWJpHhhkRrvc3FO1yejqao6rysR+PhL+Z ZvngyNUbq7Ll2u1leaVzFhwOfCNN/+ahnr8UbbKrm5X9aTnDPj6gfyMtYN7xf2W4XLLjxa+OPleu /Ln8UOTKmhoi2W59c/mxuLfT9G8dGvJ7yQ4HERG3lqe+m/FxdulNXx7qttFurz8De8Wod4+9cbRo yhcHTW8e6r2sZGdx+b3fHvJ5Iy3kq5wFlbyl+dgrRr177K0TJbcvPOz/RlroV9nzShUikipL+rx9 7MOq2qa/2XuP+X5dmqW0cF4XWpsV9qoX0A0zphBjCqcuKR0HD+hLRGrUS0QzpkyMDA8jxuZ/v+iX 5SsYYxpR1IiiRqM5cCj9mf+8bnc4FEWZc/MNer2eiKZPuYYr3CXLz/7njd1704hI3V8QhKrqmv0H D5eUlqkjqwfgxEvLKgRBMOh01TU1nHMfH+85s2cqXCkpLfu/l17POpWt0Wg0GlEjii5J+uyrBavW biSilI5JY0alqlNtfF7tf2fAugW0Zmw76qLAEdcOCRcllyRJLtkQP3JSXwvVHNye7SAi0a/H1ddN n3VlslF2SZIkSS5uCgs1EskumRNxxeWUiHRmPZdUYtTYufffd+818QZGXFFk9ZdckRVF4UTkzN66 t4JFpQ6KUCrLysvLy8vLKuze3Yan6Kns6LFy2T23qCunDIk2yE6XdNblUKqPbD0m1d+Ss/iVp598 8sVvT5xxtqe2HyyTCQAAAAAAAAAuDs9DUyIiU8otj45zLXl14XEn1abGnIjImfntgw9+WTXovtc/ +fD5WZH73nrw2dXFYki//gFF2w6WKcTLD+8rJMrZkV7FSS49sLM0ZFDfIE39o5NSsfblL8uHP/Ta O0/PiDz48QP/+CFbIqIzOmww5t5A7npbTsQ5l/OXP3HvWzuDpjz59ht/Hyt9/+rqMumM8yP7gTcm D2/Cta/tt7dBZnqJrCQRubJ/enFBzdD7X337qWlhe9/52xPL8tTwxXViwUuLlOFz5o4K01j3vn33 Y4ul1Ife/Pi/Dwyx/fjPez84YK1/jk3NpEghXrXjjbueXGWe+O/3P35hVsTOl+97ZbffDZ9+dkuE rutTSxc90sVwLsvguZrCkk8riLTeP97Z1fFg3Z97E+73IvLzGeqs3Gjw6uJZjTN3VP99wcmPFO83 piQsT/Wu2ZOZut5aTUSumn8tyVntHfDh1IQV4wOTcvJnb7PZieyFBVNWVQR3j1wxLe6lWOnN33J/ d+kfnZX0Lx9h4PhOmaPNZtnx+o/HX7R7vXJt4rqrgxNycsctL89VT1Gyv76iVE4MfjZZ23B2Ltvz W5yTxyZsneBjP5I76Ntic+/Y7ddHjrOWPrLNam1+PuqwL/9RldQ/dtsNMTdR2d9WVxa1cMItjHNh tUEPaJV6DZ3KzSUigbGZ0yYTkSzLaqqrKIq3t9fD98996F/POJzO/7z29pp1m7qkJBsM+syTp9Zu 2Gy12QRRc82EMQP79VIrkYcO7jd+7IjfVq4tKCq6/5En+vbqkRgfq9FoikvLDhxMP5mdM2rY4Kce e5iIfP189DodV/i2nbteffN9nU63defu++be0r9vr6vGj9m2c/e6jVv37j901wP/HD5kYER4mNVm 27l77779hwWBGQyGh++7Q6/TNejy4cbqN21uo5Wqv2Tuza7SrBJOXkkJXtyd8nJZDOwYIW5PL8ip lOIDRe+4rj0YV2TZVVNWkJebk3X88J7dNiJv9VXXGDsgRZ95cO17rx3t2rtHp6S42IhAn8AgOv2i fPrIRCRX5uRaiVuXvP3ykkaztJVb5br5BXaINimyZwXLrpLj9S58bYfr7pwYqyfi1kML3ltWvwV8 yfFi5yB/jxrUAwAAAAAAAEDbOac0sHYnhbz63Xl/v5kvvvbL2DcnB9eWWnL7kZ9+zOvzrzdvHepF RMn/9MufcfeiHaWjRwzpaVy68VjNBK/MrfmRo/tVb9t83H5F8tHNOV69BkVozzw0J7+rnnx8RlcD Y92T/fOn37V45alJs42nJ+Bu9HDGs2q/lPL++H6X+ep3n5rdzaiwHh18c/bc8euZO+s7znlixr6H vj1+xunGTn389s5Gxs+WeLSwXJfOStY1qvUd9+/Hr+9hrF3Ju3/4I2/8TC8iyeY9/cUnrw1hilK9 +dsVlX0eeXbuKD9iLPlZV9q0N384NOepPnXzbGYmowbs+2alc8QLj13f30Is5cHHsysW55ZLvTQC U1vZerQO555EK/vSq8uJyFU55YO0Bo/F9jO7jud6JwUGN9Xbg9fdOs79UFlO8XyH5Z3xwdPMjMjw pVSTsr5466CoESQM6xNxU4rvQAMj0rOMousqJSfnvMZRqDVO6+w1zMSGBkbHx0rRAmeMi4yISCRe U1D8boXl/cnB1xiIyNB1vGPD98WranxuEDhXFL9eUZ9312mo4YXLSRw9JGRmqEiy/43+JR9Ehz+Z aDCR7p5Ezc8lkoNzg9L0fPScc4XH9w1/KEYrkv6h3sYPtjoKJe7L6/d0Pv2N0sw4Wk68pe41ba9t ekBzzhlj1dU13yz8mYiSExMGD+jDOXfXFKt9nPv06vHyc0+8/cGnWadyd+xJ27nvAHGFiCmKYjaZ Zk2ffMOMKepQRKQRNf96+D4fb69FS3+32x3bd6ft3HtAbbshyzIR2522v6i4JDgoUKfVXnP1Fe99 9KXVal/y62rGiJiw8MfF/fv24pw/8egD4aHffvvTkoqqmmUr/uCKwgRB7QqSlBD74D1zOyQluA96 EXHJ5iTyMuvOnAfTWwxETquLE5FcdWzDb6t2HMkusxOR3i88Kjw0gJUX1+1rSZnxwK2bV/2xdV/a hmVpG4jIHNF10OhxA+O9mugiwp3VDiJN3Ljpw0IbXgdM4x0kEqkvwXqL571yFKetXlN4V97uP9P8 xg2KMuh9G2TNstMh83pvXgIAAAAAAADApYoTVyhg5ANzvr/xk7fXpz4TrW5WajIPF1enPzlptBrJ keJwuMJzKiVDwvDO9NqWrOrgnScM/R6+KnfL+ztzqo1bj2m6XhdvIDrjQ9FMlzQwziDLMhEZ4oak 6JenF8kU7eHUXIWHCnXJQ+IMsiwrjOliB3Yw/NZgH8Gnz13vvMnu/duCugw6dtp/372ntzcpF+yj 77XadyW18QMTjPVW8vcDeRJ5EWlDenb1Z4rCubP02ClXxNUdvUiWZcaYT6feIY61GWVyH+/aCTY5 k7xqe9GhLCX69ngjl2WFMWPPe1/pwTk5M0+nvO0RZzpqXjwgNfOY5qpYtmqtcM2VGs/yTV5Q6HT6 +PU1qifGgkItUa7KNBsf6WOY3kXYnl3xVoF1e07Nr9kyTyIisoQGzvXNvPHj9HeSfK6M856SYE7Q 1l9yXlZsy3PYbvjkYO0EuGKTdcdtnMxEonZ4WDMTE8Vki0BExJhJEEL9NXoiItJqa9NJpmt6PkRE orZfUO097nQa1nJri5bGubDaJoCWZVmj0Xw+/7u8/AIimn3DdFEUG9QUC4LAOR/Qt3eXTh0XL1+x b//BnNw8l8sVEhSYEB83dtTwTskN14Axds/cW8aNHrF+45a9aQfKyis4V3Q6XXRURM/uXXv37Bbg 70dEnPPrr5vk4+X1++q1LpdLI2p69+o2bNAAdQSdTnfnnJv69+21Zv2m4ycyi4pLjEZjZHhY966d r75yjNFguBTSZyJiWpOOyFFlV4jqpcWKo8ZBZDRqGcnFW+Z/sTJHGz1o0qTeHWPDfHVMcZ5c9Mrh ugCaOOfmuMGTE4dNkSrzThxLT9uxZUfayi9ybXPvGhOhbXxEo5ZIEQJiEhONDR8kfvolmAmeL49o 8jMS1dR9W5Wx80C3kQMj9Qo1eBHSeVm0F3/VAQAAAAAAAP6izq0fAidZlsWIqx+Z8fOctz7e+W+L ulnhXAye+tp7N8ZoFCJijBET9WYtF5JTY2u+3ZUeu6cqZnaHziURZUv2ppv22xNuTDIo9e/CpU5C UWo3Ms6ZIGrcSUTtJGWnzVVXK9ywGpoJjIirIzDGOG9Yjcs555xZetzxzpt0798WHOex0/777t29 vBRJ8rBy+aw7XDoryeuvJFMkdWJMZxC5oihEatNp4oqiMIUxpnB19U6vVpMzMVg0JyVOTGSKopBC dbdSE06X23oUQJ9rzW1FYcX25lq4Gr0mamseJ8tHXucfMDEihZNsrbz3u1M/aSwzk31mDfGflZZ5 i5OISDCYX5zZ8bac6iXHq5ZtOvHUOu95s6JmmU4/XeGk8QpYMjWokzvLY8xsYOQgYswsnufEmptP 7fhnG9YpceWs41xYrWrBwbl67ZIoihv/3PrTkuXE2PjRqYMH9FGbbzQeXJZls9k0c+qkmVMnybLs dLqMRoP7ocZdmBVFSYiLSYiLcX/bYB93Of34sSPHjx3Z+CH1WT26de7RrTMR1VitZtPpK6W5ebaj M17+Th9X9IsOZFtPHM8ok8KD3Fets+BQtkS6kEiLIFcc25vDhYQpN1yZYlAUxWl3EDntasEx55y7 Svas3ZavTxw8OMlLMATFdQtJ7NEv+Yv/zD9yIL0kNTxEw09PgRORYIkM1VFx9p7M6qQOxrpr15W3 8r0PN9m7zX5gcpy+6am2RAxIjtZuP1SvCpo1WdMvRHYKbrP+LwAAAAAAAADgMfd/5p9D/Mo551yW tYkzH75q+YOvftXFyYlzZomOM5cdOqV4dfdlRNy2/6Mn55vnPjUrUe/TbVj4myuWrywKGRNv9g3t 4//+iuVrC8MndPEipcFxufPo5gxr/846IrJmbDrkCJ0aquGcOEk2l8w5I16Tua/AeTpgqJ91akI6 h0jzNx6r6d/VwInsJ7YcsfEuDaIMdwb97kcdtvABIzqaPUyf669Y4/0vuZV0Zfx5tGZQNz0RWY// ecgePLEufVFDPMY0/olR2q+3Hyq/LtSXEyllB3YU6KLj/TRcVocSmpzJHU/PDOwYSqu2ZVhH9DRy opqdL975pu7RT+73rf15eFwB3dxiNkFxfrmhvLSZB/1ivf1zi+zRYbEtBXtnHCokUKfbXr3DGpBg JiJemF+dpdF1NlBJZvHXDt/frg8fpCMiefVOReGccyU7o+j1UvNjfbwfivB+aIDf/Z9nfnBKmtHB /YMkX3+9t9V6jIRUEyOiytyCWTuE568M6up+t6SZidXO6nSTEM7r3hsgzkuympwP5/Wfe+ZyEufW 2itaPpDtdHDOWxjnjJYdF0KrbkLIGBNFURTFlWvWP/vSGy6XFOjvd+ec2dTMDf2org5afVdKFEWj 0aDUafIpgiC4d2jw9Ppv8lDde2X1NR6Ec66mz+5vm5vnhceMcf0TNVS0bunmHLv641eqj61ZsqOa TJ37hdc1wVAcNTanrFYnK9aTm1cddFBdKySp/MDWLatX7sp3cOKKIkvO6sJTJTKRycdw+jRPt5jW RfTvaibHwaUr0ivVd5O4M2/Lsi1lZOnSL1J/nqcRO6yv9+nvtb7eBkZETOftX6+Rh6lHapIJBdAA AAAAAAAAFwv3mHt/RVEUY7c5Dwy179lfLRPn3JA8ZWLo/tcffWPJlgMHtnz3n6cWZoV2D9dyzsWg Xn29jq8+pO+e4svE0F6d6PDqDL9BPdVGEGcMz6j8t/+89MPmtH0bF77w9KLqPtePCBUFc3gIO7Hk u43HcjL3LHnr/b12od59uvjpfrdi6PBpvaxLn3n+mw370rb8+OpzS8tIaOLsFEVxuWRDYmpqkkGR JKXhNM6+Av8TK/nrCy9+tzlt38aF/3nq54ouU8dE1JX/1WWdpm7Txli2v/7cZ3/sO7x39SfPvrXX b/yMzkbFPTdjx+uamgnz6zdjKP/9pZd/2Hwgffeyd19fZU0ZlqBnxJlclZVdWOnwcEHP4RqVXNsr mnlINNzXU7fzqDI8Uef5DcZ8IgJm6Kvv/63whxzbhvTCm9Zag1MCBurJYNKaHLbFWfaTVfYVO3Pu PKpU1TjzXGRk9q/+zHloT9W2gpof95Yst4rdfQSBiBEvK3NkO7g5JOBWL9sDi/M+ybRtzyy5Y3lJ urc5rtX9JpqZT7NLp9Hropj9491Ve8sd6/bmPZ6rqB8hONdx2k+rlqSwqPhQ+rHlv6/avG0nMebl ZX7iHw/4+frwFpta1LVFr3XWCLjBDg2e7uE4DR69dHLneswdJ05Mfuen9FUf/3dPTGyQrjrvRHa5 RN49J4+LMTDiPp36xq345cSSefNzukd7yRV5x/YfsQaF6Sm3YOuKtaaRw7r0GhK74ZfMPz56fX9s XLCFbIWZxwvtFDDois4+AhExUachyl67ZHleXPeh/SINuqixU/oc+3LH7m9fPxQYGxukKc88lm8j v4HTx0ZpG/bM8BDXhI+YOvDQvM1lRKTtMOmGsSH20hIb+Yy8YQr/ZME+KxF59ZoyLlpP53kEAAAA AAAAAGg1D9NA9RaA9fJD5jPonru7b351LxHnijbx1rff0L3y1mf/XlKmCelx5ROvze1iIEVRuCZy YE+v7/5I6hOmVRQlZlACW32qT78wDedyg+Pqoq9/ZErJ/Dceeb/KOzn1oXceHBNAsmLuee8jE55+ 69k7lnrHD57xt4esz3xTL8Gs/V9OnFPgmP972/baq/NfePBzS4cRs5+evfjl403eYc399HOKQT0M oC+FlWSWQQ/e4PXrG49+WGGOH3z3m49cHSIo9QqvOeecGbvd/95zppc/fPPvX1nNUb2nvPjOzSl6 pbZ6liuKrEloPBM9V7j3wH++9/i7L897/v73XL6JI+576b7eFmJCn+Epiz6/+8GKd+fdnazzYK3O ulD1zod5mc1vTY+e49dEd1h7WclVNabn/M8h4mN682vTor1WF9z/U1GVTj+ie/SaASYLEUWEfNQ9 +/5fM97S6IawDTXaAAAgAElEQVR0CvryKs3dv+XP3mte1yv86365D2/NGu4gs5dp2siYF8IFIu3I ROOHW06MscfvGm58cmqMcXXBs0vLigTtkM4RywabvFqdeHk1N5+uzTxBb3l5lN8N604N2C92iQt8 bYQye0dL4/yR0rr5nTtmtVrP+8kbNm194rlXBEGQZbljUvxjf78vNia65fSZiBRF4ZwYOyMFdtcj N3hukztTo14cant1IhLF0/2TeV2HkPrD1u3JGo95gcilmz96e0Vh+NUP3tbL+8wJMFGwHf9z5ca0 E9l5ZU5jQHhUQs/UMf0itJLMiYgJUt6O337dsP9UuUPnFx7TcdD4cd00+779+OeDleaUGXdf19FC 5Yc2rFi360RBhU0WjT7B0V0HjRreLUSrKJyIu4q2/TB/5ZEK2ZA4+Z7ru1oEYqJGytuxeu2uo1m5 xTWCV3B0l6HjR3cPEmWFE5HjxHevfnkodNLDt3S3eL5WTBCs6Us/W7C9qKnfN7+eU2+d1NVLkRE/ AwAAAAAAAFwEiqLIspydnR0aGnrWnQVB0Gg06lPU9FAURY1GQ0SSJKkfcHenMZxzWZbV7EXdjXMu SRIRabVa9SnuDIfqfbbevUUdQe3mLIqiGt24U0tJktTt7kOosxIEofEg9Q/UGvn5+ZGRke7J1HdJ raTrwMsznpCe+fGZXgZO9VZSXRz3aA3W3L2bWLPxgenzer0/b1aU0OQO6kzc29UTUTeq2WDjdgXn tJhN4YUnC2f+XvKnvakHmfa6UTHzUnSN7noGl5xWBdBE9PjTL9rsjlGpg8eMHKbT6ZrrpNGkJqPq +hvrj3ZOIzc3+KWBaQwGLVNcdofUOINlokarEQUmMMa5osiyJEmnb8jKBI1WqxHV7vqyLEkumWt0 eq3IuOx0OGXOBFGj0YiCwBhR4wEEjU6nFRlxxelw1CbATNBoNKL6FM4VWXLVe4KoM+rEZqba4jmK GqEmc/v69X/uOFpS2xBa45/Qe+CwYf0TvBQX0mcAAAAAAACAi0SNDk+dOuVJbKp+Er1+kS+ro1YT ur+lM9v71t+ofktNFQu7d2tyhAYBtHt7/S/UObhTI3eN87kV2zYvPz8/KiqqhQD6UlhJxpjrwCvX /9v15MIne+iV+iO0cNzT40hVuTu+ePTptMlffDg5hBoctMFM3NvV9wnqj3/WNW9hMeEy1tquJE/+ 6yGtVqNeNB5mxPsPHi4oLE6Ii4mNiXJv3Lf/UHFJSYfE+MiIcPdGQRAyjmeeOHkqLjbafR9CInK5 XEeOZiQnJ2lEkYisVtv+g4fLKypNJmPfXj30ep3625VfWLRv/0Gz0ZjSKdnP14eIyisqd+7eZzab HA6n2WTs06t7K0//vHDJbpOafVCWnHLzjyqS09HgUclpl+rtILucsouaoZyxs3tMl1Nq5imy02Zr brCWcFmSjdH9Jtwy6Bqm2KurXRqzxShySZIkydU2b0ACAAAAAAAAwPnzuHFEE40sWt6h5e2e7+b+ aLsng3i453k464lcKitJRESKoqiF0p4fl4icBz948KmNPmMfHhIkKErzuZQHQ51lkhfstndwKREf e+yxVj1fFBljsiw315q5sYf+9bTVZluxZr2vj3dURLj6bskD/3iyxmpbsWZ9aEhwaEiwOuBPi5d9 9vW3isJ/XrLc5XJ1Sk5Sdy4rr/jnU8+PHTVcr9cT0aH0I089/2pgYEBlZWWn5CStVsM537l730tv vCNJctr+Q0ajPi4mmoiKi0tXrd3w9bc/5OTmWyzmzp2Scd23H84VWZJckkyiRiDZ5ZKk2rsnAgAA AAAAAMBFo8a1FRUVFovlYs/lf0B1dbWPj0+TwdcltZLa0KHXz0wNEc7eB6MxXdiQ62+58ZohcUYu t1+UTy0uJlzGWn1fRiI6s/PyWfl4eSXFxx3LyCwpLaW6tz68vSxJCXGFRcVV1dXqgIVFRYuX//7M 44/ERkedPJX91HOvDBsyMDDAXx3EaDQyqr1SBUEICvTv3qVTWGiwyWRUy58/n79w5tRrRw4fUv/Q kRFhD993R0VF5dUTxvTt2eNc23rA+UHKDwAAAAAAAADQftydms8vhFHrptuwbwlAfW0TQJ8Tl+Ta vmvPtVePv+qKMUS1dwJkAlv1xwazyThs8AA1QS6rqDIYDLHRUUQUExVpMBjKKyrVANqg1zdoc2N3 OHbu3te9W+fYmGh1Y02NNSY6qvHR1d8om81+CTeJBgAAAAAAAABoX0gbPdRWLTjaW2vm0K49TBoc 6AIcBS41mgv/g5dl5e65t8THRtdvIe9yuh575N6PP1+w9NeVE64YLUlSQmx0cGDAS6+/O+GKUct+ Xx0Y4BcXEyVJkiiK+w4ccjqdGo2ojuByuQQmXHXlWEWWXS6XWo49asTQV9587/bZs05l5wb4+w0Z 1M/ddt3hcKq36UQFNAAAAAAAAAD81bgDUzVmudjTuaSpCVJzd9jDSp6TlhcTLmOt7QF9HopLShMT 4ixmc/2GL3kFhb16dIuKCD924kTP7l2JSBTFPr26px85tmbdxtCQkLtuv9mg16uR8ep1G3t169q1 cye1JTQnysnL37h5a8bxzJ7du6qNobt27kScr163saKyMqVTh9CQYKq7T2hJaVlifFxQoD8qoAEA AAAAAADgr8ZdzydJklarvdjTuaRZrVaNRmOxWJrrAU1YSY+1vJhwGWPV1dUXew4AAAAAAAAAAHCB qP0W7HZ7fn6+LMsBAQEITxtzuVwlJSWiKIaFhen1ekEQmrsJIVbyrDxZTLiMIYAGAAAAAAAAAPgL URsgyLLscDgyMzNLS0vV3ghQnyiK/v7+0dHRJpNJDUybDKCxkp7wZDHhMsaqqqou9hwAAAAAAAAA AODCUUt33X+jIW9jakiqpqUtVOxiJT3h4WLC5UpzsScAAAAAAAAAAAAXmiAInHPGGGLTJrF6Wt4T K3lWni8mXJYQQAMAAAAAAAAA/LW4c0A1Nr24k7lkqavUcmaKlfSQJ4sJlysNfjcAAAAAAAAAAP6y kAm2zPPoDCt5Vsgh/5qEiz0BAAAAAAAAAAAAALg8IYAGAAAAAAAAAAAAgHahycrKuthzAAAAAAAA AAAAAIDLELPb7fxMVK8hCzqzAAAAAAAAAAAAAEBz6t+NU/27Pk2D/ujqLTvVje4vAAAAAAAAAAAA AACa1EIGfUYAjfQZAAAAAAAAAAAAAM5Vcxm0pv4DSJ8BAAAAAAAAAAAA4Dw0mUFr3F+pobPa9Nkd Q1+82QIAAAAAAAAAAADA/4AGbTbqb2m6B3TjpwEAAAAAAAAAAAAAtKBBETQRMVmWqVGxM2qfAQAA AAAAAAAAAMBzjWudiUjT+DE0gAYAAAAAAAAAAACAc9U4WGaKori/QeEzAAAAAAAAAAAAALRG/Rha 09wDAAAAAAAAAAAAAACtISB0BgAAAAAAAAAAAIA2xxhjZ227gb4cAAAAAAAAAAAAANDYWeubzx5A AwAAAAAAAAAAAACcB+FiTwAAAAAAAAAAAAAALk8IoAEAAAAAAAAAAACgXSCABgAAAAAAAAAAAIB2 gQAaAAAAAAAAAAAAANoFAmgAAAAAAAAAAAAAaBcIoAEAAAAAAAAAAACgXSCABgAAAAAAAAAAAIB2 gQAaAAAAAAAAAAAAANoFAmgAAAAAAAAAAAAAaBcIoAEAAAAAAAAAAACgXSCABgAAAAAAAAAAAIB2 gQAaAAAAAAAAAAAAANoFAmgAAAAAAAAAAAAAaBcIoAEAAAAAAAAAAACgXSCABgAAAAAAAAAAAIB2 gQAaAAAAAAAAAAAAANoFAmgAAAAAAAAAAAAAaBcIoAEAAAAAAAAAAACgXSCABgAAAAAAAAAAAIB2 cREC6LKMDK+XdrKvik/x2i1KTcmA1w78p5S7v6i/f/WpE0FvnVjr9HR8ubKo12sH36xoejQiqsnO DHnz+GqPB2w1af7XO9lLjf/suvq4fG4jcWntzrxPixQiIlf13Lfrj7Y7/IvMDwpkpflnX3orQ46s FZ999NFHiw5V182FW48smvfdnnLF/cWFm40nuC13/670UomIePXBn+b9sL9KceX98eWXa3JdjfY9 l1O4RM8XAAAAAAAAAACgFTQX/Ijy5n2V1USUV7yiOuA2L9bmB2A64419AnrpGZ1juttuxPHjO21x cCKqzDo5doP432mRA7REjAX4i+c2kuJauzN/lSnoliBBXbik/gmfd9CKxK1W+0+bsu76niXdHjNK 3/SzL72VcRSk57iIqOhItrVjR3PbXwxtT7Hn7d+dY0xJ9teQNiCpa4dA3f/CtAEAAAAAAAAAAC6G Cx1Ac3v1vEylc99Q4/b8zzKlm7tqzzGCPTvBYHlwuIWIlJq2Hvo8Mf8AU38iIiqrEgVB0ynM3F/X NkN7+Zj6h+tEIiLLIB/nb58WzS+KGhXZdGH7JbcyjoL0bJdft56afXuOZFuTk/8nEujTmD6ka78Q ImpU+gwAAAAAAAAAAABEFz6ArsgtWeE0PNY1wHwy/8F9lQVdAsI9Ch358UNZj/9Z8meN0CU+5J0r QoabmFRR2PuTkjtv73iXNyPip3YfTt4TeGh2UGRN8YCPCm+Y0+m+eidXnld49+/5PxfIAWF+j3RT 3M0/0vaemrupdEuVYvHxumtU7PNJOm07nHXLZHvNmyuyXj9qzeHafp1C3xkd3Fff1NzilZc/PfhM GdGSvcGZyZmjG44jakUjY0aB2mJlLgRnYXq2y7dnhyRNzu7N6Tm2Dh1MHlwMctWJbeu2pudVcnNI fK+hgzr6a4nk6swd67el55Y7db4RHQcM7RNtEYgcx5d8syd2eFzejn1ZlcwvtvfwXvrD67ceKawR /ZOHjBua6CW48v5YuE7fv4vrUFpGvlUXENN96NAuwXpGxB2FBzf/ufdEYbVLMPhFdxs6vHuotmL3 j9/vrCRa/eWXORNn9C5ftnB/0tTJyeq8MjYu3nWkwKrxj+46eFiPMMMZJ8MdBWkbN6WdLK5RTMGJ PQcPSglqtnS6qUPr5fz1C5ZXDpwxIdHEiHj1wcUL94ReM31AoNDkyPZjixfs73BFct7G7cUxE6b0 8644vHn9zmOFNZLWKyJlYGrfWDMawAMAAAAAAAAAQHu7wBmUvGVfZbWf30R//Zhkg5JTssazUlzZ VnbHn9K1o5P+uDokIS9n1A+FR8+lU65UWTz5m1NrLMFfXZ/0Xiflv7+XqV2U7QW51/xWHtIzds2s pNfiXK8vPfWr/XzOqlVk+yvfpj9v93l9Wqc/rw1NzD41cklpDm9qbi7Dv25OecJXGHR1t9wrLGYi IuKcSwqXFF5Vbf1qQ8EhX/9bgs7hZ9rcylwQzoL0bJd3QoyPd2ScLy9Iz7F5kH47sjcuXpmh6zRi 4qQxPbxy1v+y/pSDO/M2L1pxUI4ddOWkKwfFuvb/tmRLQW1VslS8c1d1fOo1U0Ynysc3/bwoTdt9 3JRrh0fb0jfvLpKIiEiu3L9unyNm4PirRnbxyt/8y4rDVQqRVLD1t005ls7Dr7rmqpHdfAq2rdld Igu+PSZP6eUthoy84YahofXfq+D2Ext22eIGjb9qVDfvwu1Lf02rqL+SctneZUt3O6IHjr/2mrHd vfP/XLr6WE1zp9vkoUkTkBSlKTyS7yAi4jVZ6SWmxCQ/sYWR5dK96w4qcX36Jnjx4l2/rz9pSkm9 auL4AZE1+/7YeMpxjj8uAAAAAAAAAACAc3dhK6AdNZ+ekGN7+SaIjBJ8YjYUfprlmply9ppjTtpb r475e6RIZOljdibNL/q6JPjfnnax4McPFvyhC1x7dehwPVG0Kai8etB+IiJnjb1Aa7q+m+8IM0sN TkhIcMV43hBEqszJdQZEBhpal+Fb8wvfLvf+ZHr4tUYiMnU3OdbPL1xZ4z+5qbkJAomMGGOautrZ 3Sv3G1a6B9PeMCm4+zmUcDe7MufjXBfEWZB+yuXVOdZbFCg6xrIjLT3XlphoavlJtuy9x6T4scO7 R+mJQoakVq4+VGmz871HHBHDRvVNNDGioFFy/reb0wr7hkQQEWkj+/dPCtaRktLBd/+ByMF94gI1 5NslbtvxMptCxIg4GZJSU7uH64jCgozVC5ekZVQl9zDpwnoO65CUHGpgRP7s5L7fqxwKkcgERsSY IDCqHyBzMiaPTO0Wqq0b5ODR8s69DXVrU3xgf2XE8Cv7xBqIKCjAULVwycEcW2LTJd+86UNrA5Ii NSuOFDjiY7Q1Weml5sThvmKzIwtEiqTvOnZkZy+ByHmqzKYJTEiOCzex8ABv7+garzbvfQMAAAAA AAAAANDIBQ2gK3KLf3fqbk02GIjI33ecqeCzfVVFnfyDzvZEpjFOCKoNzCxBPn01JTurFArw8LDK yTynIdS3e+2t+YSUeJPpABGRJTzkLr+jM95NezPZ76oE36kdvBKbSW+5qyI/r9zJz9xWVXoo3ZHY IaIVWR4vLarJdVinv7e79ifBFZusz7DxpufW6OaBdTchJK7IJ7MK71t0eO7UlA9bvTJnn3erF8RZ mJ7tMifH+YhE5BsbZdybnp5nT0gwtPQkqbqwnPv2Cah970EXPmB8OCnluyoU745BtS0vmDE4wiKd KLEpEXoiwehrVmcjaATR5GsSiYiYoBHd0S8T/KPrRtT6xwRpjhRWyeTjn9hRW5h7NK2osDA/JyvX zuNamhkTA6L9tfUGSS+ukan2ZBRHaaHVWbxq/qe1945UJEnxrrQrZGpqpbTNHFoX1CFCWHWk0Bnl l5VeaklK9RW5rdmRiQRLeIhJfTtAG9wtxWf56vnf7I+Li46OjY8L877w9x8FAAAAAAAAAIC/nguZ Qslb9lVWkvzfL3b/170tu2Sdzf+6cxuHCYzERpWjTok31z1CEM7YmzFSvxcMXq/e3H3uqYpFxyp+ WX/k8TW+X9wcf5N3E0WpTOsTGuV9xibuKD7hMgYGW1pXSapw0ngH/zozNMU9DmMWIxOEpuZmbvj0 ejchpAGRJn5y3007ql8ed8Y+57EyZ9XqBXEWHs52kjPt50/T3Nvy0vPs8S3GvMQVTiScbZKMiNN5 drNmjEjhnFszNyxZfVwTmZQYl9QvJenQ8j+c5zQIY+z0NDknwdJl/NU9/E4vjqA1NL1SzR9aF5wU TmuPFpaHHC71ShrhI7QwspOIidq63xOmDx8w+aZOeSczs06d3L50+5bY1MmjO1jQBRoAAAAAAAAA ANrXBUygHDWfnpD9kmO33Jqy99aUvbembLnKz1+u+vSUdNaokEu2ZUW11b/VReXbJf1gX4GIiHNr 7Wb5wClHM11thZhwnTO/fG/tw8rB49YaTkQ8+2ju/Vus/lH+j46M23B78p1CxXtZUnNZLWuAmCki PsJH62Fi29yo/oFGn5qaY0wTZtGGWbTm8sKbfy3KUM5tbrU4cfUPtXJlPJt6axbEWXg426mPT510 Xa1JI+L1St7hvJY7E4uWIC+qzC6tbfDszF777cINhdoAH6Eqp8iuTp3bCnOqRV9/o6fXNldKs0pq I15X2clCyRxsEe25+464kq64ZtzgHh2igy2C6yxXKZdLsuqm5SrNLJS9Q0/XgQt6P3+dtaiSGUwm k8lk0lSmrV1/qLLpHydv4dC6kA5hyqk9uw6UeXeI9xaImGcjKzWZO/7cU6wPS+o+YOTE6RNThKyD ufYLecNJAAAAAAAAAAD4a7pwFdAVecW/O7Sz+/v1d98lzzdkpqXsk33VJRFnea5Ars+XnkweHdxH qX5jZVF5bOx0H6Zx6qOZ7YPt5SP7GstP5D2arQjeTT6bxSaHjFifOX2p/t1+Fn1B0QN7JRKJiBmZ 7fP1JcXa6PsjhKyTRUtrNBN8RU9jS0FvbrFbhIcsYcG3ex+65/ssGhHYg6pf+bXgcIcOCRrmbHpu EiNeWmo/ZTdHiUREleXWTdnO/2fvPgOiuPY+jp/Zxi5L70WQpgJ2sPdekpjeTW7qTS83yU3PTU9u ep70aHrvRnMTo4lYsaOIHQREaQLS+y4787wAYRcXpC0Y8/28grOzM2fODnD2t4f/qIVQFPnIkYK7 slXnnG/0dpK6NzJd0pkBMRWm5piMA4dF+HmduALdhkVtzTyYml8X0M7zJEPI8LDNf6xd5z15WKC6 ZN+GQ6aA+Z7OfsMG6H5NXL1Dig91rs7avjHfEH2ev06Ijt1nTxJ1qWvWeU4a6qsc25O4ry5gUpS7 WlNj1NQXZmUfN/qpyjJ2bMg0mf3LqxuCPFRCSEpdeXlVvdbZZie1qWvWuU8Y4qsc25O43xQ8LcJV JU7c01LrOyTadUni7xvFuEHe4ljKut1l4QvaKIIhaQxtHFojCSf/QQENf2SWeY0Ld1O1u+cG632q 1FJJ6va0Ou2kIf6aqtz9R2r0oW7d/OwEAAAAAAAAOLVeC6At23ZXlHv43ehnFfBqDTcM0b2ddDyx zrP9Jzt5+b8f3/DiyrT76jTxA0MT53iHqITQu70+z+eyhMy4FM3QKP83Z7tfudX+0zVu3j8ttNy2 4thVX+d5+Hs+dm7gopW1QgjviNDvJxy5KzF9fL0wurlcMXfAy/16vSiBxvnphQMMK3IeX3K8UKWb Mizsz2kurkII+33TzRpkfDcxdWpt9L6pQgiRvi1j6rYTezIYLpge9d5ArVrq7sg4mKkwNdvkNiTa 2+ry03hHD3Tdtzf1WH1EO8+UDGHTzpu2eX1SwrItFr13xPh5E4OdJClownlztOu3Jv6206zzCBoy 79xR/h2/F6OkC504Qpe24bctdTqv/uMWTIlxUwkROG5abELi6iW71a6BA+NnzNavX7N59d6g80cY g8P99ict+1/d+RcPb9mJ2mP45ME1uzb8uqVe7xM+6dxJA1xUVlVAND6jFpyt2bA5aeWBWpVLYPT0 s8cEtNVDbZuH9lAJvf8Af9XR+kFhrqrO7FkfMmlW3PpNSSuXmhSNi3/U5Pnj2jw+AAAAAAAA0GMk ReEf8fH3Zc5f881Ky8yFs4L/GnmspXj7Dz9nD73s/MGuFHAGAAAAAADAaa83b0IIoOuU+pL8vCPJ e6v9xvfn9oEAAAAAAAD4SyCABv4aLOUH169O04SPnxnlQvlmAAAAAAAA/CVQggMAAAAAAAAA4BD8 Jz8AAAAAAAAAwCEIoAEAAAAAAAAADkEADQAAAAAAAABwCAJoAAAAAAAAAIBDEEADAAAAAAAAAByC ABoAAAAAAAAA4BAE0AAAAAAAAAAAhyCABgAAAAAAAAA4BAE0AAAAAAAAAMAhCKABAAAAAAAAAA5B AA0AAAAAAAAAcAgCaAAAAAAAAACAQxBAAwAAAAAAAAAcggAaAAAAAAAAAOAQBNAAAAAAAAAAAIcg gAYAAAAAAAAAOAQBNAAAAAAAAADAIQigAQAAAAAAAAAOQQANAAAAAAAAAHAIAmgAAAAAAAAAgEMQ QAMAAAAAAAAAHIIAGgAAAAAAAADgEATQAAAAAAAAAACHIIAGAAAAAAAAADgEATQAAAAAAAAAwCEI oAEAAAAAAAAADkEADQAAAAAAAABwCAJoAAAAAAAAAIBDEEADAAAAAAAAAByCABoAAAAAAAAA4BAE 0AAAAAAAAAAAhyCABgAAAAAAAAA4BAE0AAAAAAAAAMAhCKABAAAAAAAAAA5BAA0AAAAAAAAAcAgC aAAAAAAAAACAQxBAAwAAAAAAAAAcggAaAAAAAAAAAOAQBNAAAAAAAAAAAIcggAYAAAAAAAAAOAQB NAAAAAAAAADAIQigAQAAAAAAAAAOQQANAAAAAAAAAHAIAmgAAAAAAAAAgEMQQAMAAAAAAAAAHIIA GgAAAAAAAADgEATQAAAAAAAAAACHIIAGAAAAAAAAADgEATQAAAAAAAAAwCEIoAEAAAAAAAAADkEA DQAAAAAAAABwCAJoAAAAAAAAAIBDEEADAAAAAAAAAByCABoAAAAAAAAA4BAax+3adOjTe578s8y2 0XPu06/9I1J3iqdailY+9q/Pj7Y0aEY88P79ww0d3wB/Xad6ceWS1Y/f+dHhlselwfctfiTOuccP 5HB93gEAAAAAAADAsRwXQNdlrt1adlJr6db1Ry6PHHCqBBpnJqUqI3H9/jLLie8l5/4Tpw3zVPdl nwAAAAAAAAA4isMC6NqMNdsr7LSXbVt3+MoBg5wcdVycziwVe5Z99UN+S4NxctQkAmgAAAAAAADg DOWgGtBKTVrCjmq7D1Ukrcusc8xRAQAAAAAAAACnD8esgFaqDybsqm3jwcodazNqYwZT6Bb2SRr3 0Ih+sqm5wRho4GaZAAAAAAAAwF+QQwJopXL/qt31bT5ctXNtRu3gISTQsEvlOe7WZ8b1dS8AAAAA AAAAdJsjVpYqFXtX7TVbt6htbzpYk7w6rUZxwJEBAAAAAAAAAKcNB6yAlstSVh2wWDVIg6681u3H xdtbanLUpqxOrRk20ij1/NG7xFJ1dNemzdt3phw8UlhWUWsWQqN39w2Jihk2evL0cQM8tafoqFyT s3vz1qTkXfsPF5SWV5sUoda7unsFRgwePjJ+7Lghgfo2dqBUbXnm5rdSWxqkwfctfiTOYCranfDb n4k7UnNKahqE1ujlHzF8wrRZM0eHuTTdsE+uytqakLBhS0rGseIqkxAao2/owGFjp8+dGRdsaHU0 S+GKR+/5IrulQRv34Hv3DTOYS1M3rly5ZtuB7MKKekXn5hsUPnTslGlT4iM9tO2fsGIqSU/asHH7 vrTDR/JLqkwWIYRQ61y9AvuFRQ2OHz9xdLSf9Tk35P780AM/5p+8o+oNz1y/QQghDOMfffuOWL0Q QliKVj72r8+PtmykGfHA+/cPP9WKeaU+f9fqPxISdxzKLa4yC52bX1DEsAnTpk+OC3PrgbscmksP bd+4eVvS7vS84rJqk+LkERAYEBgUFjt2yuSR/V0dfB/Fzg64OeenBx9cUmC9i5CFrz13lv/J/VSq dr5658tv/DMAACAASURBVKvJLRVPhMesJ1+/boDth0ZdOP36g+/f+cwGq0rw/he++OJF/bTCUpG+ ftnSVTsOHS0SEx5749YYvU1/6gr2b163cef+tIzsovK6BiGESuvs7h8SGRUzfNzkCYMD9BRkAQAA AAAA+Mvo+QBaLk1OSJWtGlTRM8bGu6c7b99c09xWt3t1avWIOJe+T6AtFQdWfPbxd1vyLDbNDXXl +Yd25B/asfqnLwctuPn2i+K87WeyltI9v33x+U9b8xpsm+sqS/IqS/LSkv784bOQiZdce9Xc6I7F oIopd+0nr36wySo8NFeX5OxZ8/2eNb/GXnTf3RdEG8qSv3/znV/TrKtsN1QXZSYnZCYn/Dp84QN3 zo9oHUK3PoqlfM93r732S3pL7miqKMpKWZ2Vsvp7/3FX3XLdnIEu9nM+c1HSj+8t/jX1pHtMWkyV RUcOFB05sD3hx08jZ99w+8IJ/qcIsnuMKXfNJy9/uKnIqqWiMGvXqqxdq77rN/X626+eGnqKEWlH Q/GuZZ98vCS52LqxvuxYVtmxrIPJm1Z85Rt/6T+vP2ewh2NS6K4MuDZwwrTgJd/lWm2dvWlP6Vx/ n5P6WH9kc6rJusFz3NT+1ulzj56+Up364wvPLc1s+nFztn2wJmvtl+9/ti7bbPsk2VxTmpOalJOa tHbpx/5jr7zp2o7+NAEAAAAAAKCP9fhaQkvxjoR06wb1oOlDPFyipo2wyZpMexIOVPV5FQ5zQeL7 jz37dev02VZV6v9evf/llbmmkx5R6rJWvPbQC9+1Tp9bMWVv/OqZh99enVN/6hNWjiW8/oRN+myt Zv9PL7/9vz8/fvoV2/TZWmXKVy8s3lYmt/FwI3Pu76+9bJ0+2/ShYMsXTz355Z4KO/toKFz39mOv 2wlDW6nL+POd/7y14Xh7A9tjlIrkz/5rkz5bs+Ss++Cx55ak13bpclNMuQlvPvpyq/i1laId3z// 0Ot/2rlEuq2rA672Gzujv+0mWRv32XlJTdlb99VYN3hPmBzSnD/38Ombcn59qSV9tqXUpP30/OMf npQ+t96sYOtXzzy6eEtxr1xaAAAAAAAA6KaeDqAtRdtWZ1k3qKNnDHGXhCFyWpzRut28L2F/ZZ8m 0Epd+o8vvbepvWStWf2+z1/8+oBt3WpLyaZ3n/tiV1XHjla27aPnP9lVccozLk5JbytaFkIIUbfn u0/XFra/j+ptX/2W1V4aaN7z1dL09gO8/JWvvrWuqNU2lsK173+U1MEzFtU7Pv1iZ+MZq1yiJs+Z MWPG9LFhrdZE+4ycOmPGjBkzZw336vqS1uzV20rb3cByeMmL758qlbdDqdr7+X8/3lHZgU0rkz99 7sOkzh+iXV0ecCHUvqNnRto8rGRsPHDSj5w5f8fucusG30mTgk+8Rj18+nLRhk9+aOO6U2oOfPvG z4c7mCqXJL779qqCdj/2AQAAAAAAwGmhh0twNBRsWZtt3aCJmTHETRJCGCKnxbkkbmjJ0sz7E/ZW jJng3ldVOEyHl7zz6zHbNn3/MdPHxQS7SpUFGTsSNqRbrwwt/vOTFbOeu7BfUzhnOb7+/Q921Ng+ XxjDx00bGx3kopTn7Nu8Jim73vrB8g3vfhL/yl2jO3LKLkEDo0J9tFU5B/cebSv/MwYOiAr11VXn Htx7pNU2xdu3H7s0IvTUBTBcw+LiBgXo6woOJe/IrLB5yLz/66+T4+8a5dbcXVPWiqWpthGhIXT0 1DEDAzxctA2VRYeT1687UGL1aF3yqv2Vo8a5SSr3oeddM1SIhrylB7dmWdWCNsacc80N0U6n7GcH GfqNGBUb6FxfcDBp5xHbRcM1SZ8vSR16XYxzxy84pWb/t++vsY22veMvumTGsIgAfU3u3g2//JCQ XtfyWPnGxV+MHXhHvFtPXdNdH3AhhMozbtagTzOsyuFY0hIPVY8fZV34xnI8ZafNynH/yRMCmy6b Hj/9og1/tLFKXchl239YXWZ7plFTzpk+MtzPVVVbWnhkz4Y/1x+yukAtaUuWpE29NVYvAAAAAAAA cDrr2QDafGzT+jyb3cfMiHVtzKP04VPjXTesa0lKLQdX7ykfP8mjTxJopXLPsgTbhcT+cx968qqh bk1rwmcvWDDli0efW2mVmOWuXn30nH9E6oQQov7w8p/22dYK0A+96rG75oWfCDjnLDj/4NJX/vtT utU6zZptP6zNG3lecLujLgXPvvO+K8f46yQhhGIuSHz7sfeTWifdQTPv/PdVY09sU7jxnUff224T l2ceN4tTBND+0+986Jqxfk13WDQXbfviv28kWBf/qNm2bOvxkbN9m5Ymm/O2JNnEkYb42166e6LV yuWz5o1Z9MDLG1pyQkteerF5nJvt/ewcxG30DY/cMj2k8VZ8yrX5iR8+9/5G6/6WrflxxwWPTvbs 6Kp/uXTbT+tsQtHgBY8/cdmgpntnBvQbMGLs0A8e+78NLdtUb/k24cLhF7T/AndYNwdc5TF8Vqwm dW/LBWg+uCG9dpRVMRxL6d6t1nWiRdCU8QFNV43DTl8bHDdpZES/AB+jqDN7+WmFEEpN+qYMm8XZ /a98+rGzg5ov4PgJ02eMWvTwa4ktp1qVknikPnZQj314AQAAAAAAAEfo0RIc5twNG2yqF2sHz4hx PREw68OnxrtZP2o5uHp3D5cs6CilbNdvO+usW9ym33Rpc/oshBCSMebiGya6WG9TujPpmFkIIZTq /f9ba7s01GPGvVbpsxBCqFyjL7j39jG2t1nL/ePPdotjCBF88d0Lm5JlIYSk9Z9w5fn9Wm0TeOFd V4+z2sZv/BUX2G4j11WZ2i33oR54zYPXjjuRPgshtL5jrnnw2oG2dTAyV21tLsOh1OZnWK+2FR6T zh1tWzdDcokYFmCzg5rSmt55hYPOf/DWGU3psxBC0gVO/udDl9lWQZYP/pHU8dLBloKNv9vcTdNl 8jXnDjRaf16i9hx15TUjbeL1vDVrc9ovYtxh3R5wyW3orCE2vavfvzHTqsKLUnlw8xHrx/tNHevf lB475vSdR1z91Nsv3HfjFRfMmz558vTZM4Z7q4UQclVBqc0Lo/Xwc7ONsVUew86e7mvdUplb2LW6 3gAAAAAAAOg9PbkC2pS9YeNx6wbt4Okt+bMQ+rAp8W5r17SsYVTSVu8qnTTdu8fvhHhKtVlbM22C Uc9x0yNa/ze/5Dxg6nDnjRtbVhYXZxTUi1CtqD+yab9NdQ1p4MXn2ynuILnHXXx24LYfrGpOlO3a ccwc1fbaZP+xo/xsH1S7+LnabuM7ZnRA6218W22jtB/NuU+7Yqp/6xdf7T/58ilLnrZ6hURucmb1 2QGNRRUMg2989tmWGymq9D7BtkubFVNO4qrMVv1otxs9RT/qivn9W6+F1fabvXDyb89blX0RWVsz qmf5dqhEhly2f2uOdYPz8CmRJ73EktvgGTGa5JSWVcbFu/cVXx4W0PWC1i26PeCSS+ys4fpd21s+ aqnZs+lo3ZBBjZe6Up2+KdN6+9Dpo/2aOu6Q09ePuvnmuVEuHRh+c8pbj786b8FZM8cO8ndu2pk2 5OJXPr3Aqr+SWtNXBXwAAAAAAADQQT0YQNdnrd1ssypYN2R6jE3Y5BQ2ZbT7moSWe54ph9bsKp06 s9cTaPPx9FybdZq6iBGBdupE6GNuePWty8zNmZekMToLISyl6Udsa2JEThvhZfckNP6jJwb+8KNV Al2Uml2jhLZZB9rVz6X1ayK13tbV17V1wHfSNu1zHTHxpLxWCCH0/ScOd1ljFdkquXvzTRPcnIQQ ktYtKMyt9TMUU0VhztEjR48eyTq0e+u2VnWke4kudlq0vVjTEDl1pMsGq9ORc3bnm8a5daRsg+nY vnybhoDBgfaep/OL8BYpVgv/Cw7k158d4Gxn007qgQGXjINmxTlv39RytVambM4xDYrSCSFE3eHN adY/BuEz4n1OXFiOOH1tzLRY++G/2r1/P73Itf6fBEtB8m8fJv/2ocYrYnhcfHxc3IjYEHettvc/ rAIAAAAAAEB39FwAXZe5dlu5dYNuyIxoo23c5BQ2ebRHwiqrwrIZa3YWT2uuMtxbLBV5Nl0VXmE+ dusUq5zcvE6O3RrKcm3vl+Y9MLStZZ0a76gQvci3itbK8ioahHtbS6Al1akjNknVybz5JH7R/vbr MusCBvkJ6zXDVUWVDULYjoFiKjuyb+eOpKSde1KziutEn/OPDbKfKTsFDg4QG9JbGirzi+sV4XTq 4ZNrCotszyxz8R1XLe5AZ8zFBVUW4dyTl3Q3Btw5auZo101WpdfLdm7LWxgVphWiPnvrfqt6HCJq Rpz3iV475PTdgz3buuwNA+ZO8ty6qvTkRxpKMnesytyx6gchjMGDR8bFjx4/YWT/kz6BAQAAAAAA wOmpxwLomvTV2yttWkxpXz790Hetoj5LlW3yKw6v2VE8Y55f7+ZJcl2lTQUNYfAwdGJppVxfaRvO OXsb23y6ysXbWQir7esq6/q6cq3a6Kqzn8GqnNydVUK0lCdRasrrZNF8ekpN5qrPFn2V2FN1jnuG s5fR/gUk6T08dEJYVd2uKauVhdupLze5trz2lBvZV11SIwvRQ1d0twdcHzFjnMe6P1s+MSlO2lFw SVg/rTk/abfV8mlp4IyRLfdndMjpq3Vt/7rRD7zs3isKX/xmd1Wbm4jq3H2JufsS//e5S9T0y2+4 alqovjOfw8imiuMFhcdLq+rMFkWtNRg9ffz9fdx0rKkGAAAAAABwpB5KX5TqtISdNa0aqwpyc1rL L2sdvh5Zm3S8wzeG6yGK3KoXkrq7a4rbJEmtdn3SwXufbG5oqw9yg8X2roEqVXP3lZq0759+/NM2 wlCtd9So2edO9eu5bnac0nbJ61avq9LQsZsiKoqlq3dPtJjaHN1O6pEB1/WfNsHbuqFg687jFtFQ uGtncUujKnrmcI+W3wa9f/qSc8Q597/63J2XTIk+ZUmeqvQ1Hz72zA+pNR09kGIqydq/51B2YXmt 2aIIISzm2orC7EN79meVtH+zTgAAAAAAAHRPz6yAVqoPJuzqaimG7LXbCucuCOzNNdAqJ4NWCKtU r76yrhOLViUnVychrPL2muLqNp9uqS6xTeZ1xjZWH/cepSK/wiLsrRpuqMi3XaKudnHXN+WBpswl b/+SbRvXuUSMmTQ2fljsgMgQPxetJGp2PPe/dYW9HelVF9fIwl5VBqW+otxk0+LUfDrtU2kNrcpF +IycOsyzA5eI2mNIRzbrgB4acG3wlMl+y5cWNjfkbk4pnhe/d5tVkWd17Myh1nXJ++b0VS5h486/ edx515dm7d6+dcvWrUkHC01tbGvJWvb+/8a8dFlYm/fzbNm0KjftcHG9EJKzb2iIv6ezVphrygqy jxTV1BcfTtPoYvq5UNIDAAAAAADAMXokgFYq963a01ZQdGq567Yem39+cA/eD/FU1K7+LkJYFZwt PlxsFnYycKWhrrbe0nITQrXOoNdKGvcgD5sAujjtaJUS7mkvV24oST9qW8zAPci9F0/VvvyUjMoF gR4ndViuTE+xvfec38AT1aLrDv2+rtj6Ie2ghU8/MN+mDoJiqumLBaWFB/Pqz/a3c+O7k26lZwz2 d+5Q/K82+rqrRE7LMmBtyOyrbxhu6F5HO6XHBlwbOGFq4NIfWkbi6MaUo/otR622GDJzsM3tAfv0 9CWtZ3j8nPD4OZfLNQWpyVu3bt26bWdW+UnnWbhxc+6FYadKoJW6oqMF9UIIjVfkgNCmnz0nF+/Q ARrLvvSShvqCo0U+MQGdKucBAAAAAACAjuqJEhxK+e5V+7pTEzh//ZZjDT3QkQ7T+kT62+RNdak7 cuwk6LX7F9/1z5ta3PJ/KdVCCI1XVH/bKC5jbUqp3ZIFDQXbEvNsWrwHtXnDwt4jH/wt0c6Qm/M3 /JZqk/O5Doz1aYzszMcPZNos5XabfPms1lV4zcczj3euJ23XzugE0/71qdV2dlSXuT7ZpjC5qv+I IPt3XzyJvt+QAOvvzSUFVb1aKqYHB1wTMH5GiHVD5h/LVqS3DJhu6MxYV9sd9/npCyGEUDn7x0w8 99p7n3vnkzcfu3Z6eKusufRIySl/7yj1pcWNnwDpPYwaIVfnHUhO3pdTLQuN0V0vhBCitri0njoc AAAAAAAAjtEDa3Hl0pSEAzbZlNOof7/1r5HGNmPW+tTFdz+9zioZLEjcnHfuJaGn/mf6HiIZI0eF iINWS0BLN/y6+4K7R9msAlWqDqzaWW39PL/oQL0QQjj1nxCj27yzJbJW0n5cmjrmuphWq2vlsh3f /2qbP7sNGxXUa+fZjqM/LF45/OGzQlrKgSj1Wb8v+jHHZivXuMmhTo1fytUlNmMhtM4nlRKpO7x+ W5noDFO1qau1hm0OvO3bP7IHXxBqEy6b81d/va7CZruwsZFtX5a2NN7Rg9xEXsvzc7YdrJjl69n6 I5uGwg1ffr2tuPkHQO095sqrJ/fAXTV7csDVPqNnRnz1aWZzQ97O7JZH9cNnRLcelt48fXPO0qef WpbT/IGIJmD+o09farOyWdJ6x8y+7k7zoXu/srpCW5dXt0eur2664WhVZsoOIYTQuAWG+TmrRENl WdP/JtRX18tCTxUOAAAAAAAAB+j+CmhLSfKqNJv1g7rYKQParXPg1H/iMNt6CYUbN+V1Zw11Z6l9 x8wdZHPutdsXLV6TZ1XOQK7Y/c1H22yqZwRMGOWvEUIIySV2wVQPmz2WJrz2zqqjdVYDIVce/Pm1 d5Ns628Ez50f6dRDJ9E9DWlf/+fJj/7ck1teZ64ry0lZsfiJx7/LsF3kGjBrftSJpd6Sxsn204ri TWsPWd0FTjHlJ376TkL7caik1trGfObUVVuyq8zm+pq67t25L+fHlz9KPNby+pkLt3zy4leZthfm 8HPG+HQ4ZtSFzZxkffM+y4EvP9903HbZuFJ3ePl7H/65fWeLDHWwR49EmT0y4CeoveNnDmzjZ9Iw Ysagk2P5Xjx9jauPpsbUouZowq/JZSett7aUZ6aW2LT4RPl2+sMcfdCgqCB3TX1J9qGM0t5f0w0A AAAAAPB30+0V0JbipIRMmxZN9JQBp1hmqg+fNFS/cavVbQuLNiXmXNg/vIPlEbpP5TX6ggnfvJBY 1dJUk/zRAw8kzZoRH+EpVR1L27JyQ4ZNeKyJOWdK4Inx0keefWH0mo8PWgVyNbs+ffiejZNmjIsO NMplR/duTNh2tN72qM5jL50R1OcFoJuZj6z59IU1n7b1sMf06+b3aw74tF5hPkJYx50lfz73UMGc mXFhHqIs7/CBLev22KkGYVtiQ+Xs664WOVa5X83ODx+6+UMhDOMfffuOWH3XT0aUJL53X8rK0aOj A/T1BWnbt6VXtNrAf87FI9w6Uf1EFzrnvIErP05r7m3VtvfuL9x30YIpw8K8daay/ENJCf9bnlxk fYb6+IULwnrmKu6RAW+m8hwxM0adtv/kyNUYN2OAnfLZvXj6kmvM5CiRlt7SUrX5jfuyR82YGhcZ 4O3uLNVXluQfSk5M2Jplc6dT//Fj/E8ZQKucjE6ivOV5DdVFebmitriwvOUTLyejU0/UIgIAAAAA AMDJupuGWgq3rTli06IeNHmQ66liPkPEpFjdVqsaFqJ484bsS8Ijey2BloxDFt4yefcrG6xjSqUo 5c/vUuxur4q45LpJVstn1b7Tbrsx+YH3k20isYpDiUsPJbZxSK/pd14f35kE1GEk/8FBRfty2y1+ ETjvjisGW32QILnFToqU0jNs8s3i3X98v7u9vZhq6qwXzUrGyPFRqn2pPVF2w57KzO2rM+0/5Dv/ lgvCO7f4XO079earNj74WWrLKZiy1n/z1vpv2niC5+Rbrx/t0UNZZo8MuNXu3IfNHqLdn9L6Hw1c 4qdH2r+3YO+dvspr7KUzljy/2uq2oKIuJ2n5V0ntPMl5zOVzgk+9AFpy8vQ25OU2f5ak9w4M9hSl VVYBtMHb0+l0+LEEAAAAAAA4E3UzLGs4tmWtbdVgKWpy7KlDVsk4YHK0bXhUunXDUTv3AXQcyW3E tQ8uHGpv8edJfGfcc99ZrdIutfek2x69smPPF8Jn0i2P/mNY399+UAghhCZ43h03xrm0+bgUPPvf j10ZY7uOXe0z6ar5/u3uV+o3dd5Am1GSDy7fmG+Veaq8JlxzSVRPLwLvP3eCT7sbuIy66eHLBuo7 PfqagJl33TO3X4ee5zvplsduGNUz5TeEED004FbbusbOGnZSAu82enpEm+vOe+30JWPslf+6ZGAn Pn4KnHvndaPcO/LrS9L7hvq188mDk3+ob+evDAAAAAAAAHRM96JAc/6m9fm2TVFTBndkka/kMmjy APVu64oAZVvXZl0RNdBJCCGpDJ5exuLmAhaSq7vt/ddOuUGHSPqws+573m/JR5/+sqe0zY38x/3j jhtmR9ipai05R5z97xf7/e+zz35OKmi7nKwhYupl11w5M8rl5LhM0ngPHhdnbAnedf19TnpJ1F6x 4+IMVtuE+p208LMj21jT+E791wseP733wbJ9tmeuDYhbcNU15470OfnpkmHgZY/eY37pjT9z7Kxg 1vabfPVt10xzTTqekLavJQFtSP383YQRT87zb0omJaf+5z7+xqDVP/34Z3LWsdIaixBCqFyDY8Ld TmSXKqeAYWPjfFr2YRhok2tKKr2Ht9HYvPRccu438uoLwlQvL0ossHOq+gFn3Xr7paPsVAvuyFWk 9hhx9RPPBn+x6Mv1bX8+YoicdfX1l00Ja7fyuR2n6ECPDLjV7ozRs0Y679hSY9XmMXZaWHvLwrtz +irXyFGjqiubu67xCzG0mRhLhqjzHn4h+OdPPmvnZ7Fp04BxV91y3ZwBdn6e2jgJl34Dwi2HDhfX i5ZbETZy8g4fEOzC7QcBAAAAAAAcRlLaqBn7t2IuO7Q9cUvSzt1pucfLq0yyEBqDZ0B49JCR46dP G9nP+VRJl1ydvWvzlqSdKQeyCkrLa8xCqHQu7t5BUUNHxI+eMCbGt2//w99SuOLRe77IbmnQxj34 3n3DDEIIpa4gbW9admFJlWzw9A2MiIkJcTvFhxKWivTE5SvWbd+TcayqQaidPYOiRoyfMnPGmHBX tRBCri8rLre6maOQNEZPT6PG7ggoFnOD0GjVPTE8Sv2xXatXJmzYkZZXXG0WWhefoKiRk6bPnBYX csoXsAN7r83dlZi4NSl5f1ZhaVW9LIRa7xHQf0D0sDGTp46O8tQ67hXuwQGvSX7ltleSW9Jqr3nP vHp1RAcWHvfe6Vuqcvcnbd2ekno4Oyf/eHmtWWk8J727X2h4ZPSI8ZMnDA3qygsq11ccLyg4XlZV a5aFSmtw8fD28/d1p/ozAAAAAACAQxFA/w20E0Dj70QpXffkHYtbbvbnc85zr1wRduo6ygAAAAAA AEAXsfwP+HtQ6jKWL023avCbNLEDd/EDAAAAAAAAuq6nbwcH4DQi11dUSy5GUX505++ffbC80Oqh oKkTgsifAQAAAAAA4FAE0MCZS6lJ/r9b3kq184gUNW9SAD/+AAAAAAAAcCxKcAB/Q56zrpjgre7r XgAAAAAAAOBMRwAN/N3oYy6797JBBqmv+wEAAAAAAIAzHv+DD5y5JMnJ3VMjShuEUOtdPf36Rw8d OXrKlLh+znz0BAAAAAAAgF4gKYrS130AAAAAAAAAAJyBWAcJAAAAAAAAAHAIAmgAAAAAAAAAgEMQ QAMAAAAAAAAAHIIAGgAAAAAAAADgEATQAAAAAAAAAACHIIAGAAAAAAAAADgEATQAAAAAAAAAwCEI oAEAAAAAAAAADkEADQAAAAAAAABwCAJoAAAAAAAAAIBDEEADAAAAAAAAAByCABoAAAAAAAAA4BAE 0AAAAAAAAAAAhyCABgAAAAAAAAA4BAE0AAAAAAAAAMAhCKABAAAAAAAAAA5BAA0AAAAAAAAAcAhN d55cWlraU/0AAAAAAAAAAJyGPD09u/xcSVGUHuwKAAAAAAAAAACNKMEBAAAAAAAAAHAIAmgAAAAA AAAAgEMQQAMAAAAAAAAAHIIAGgAAAAAAAADgEATQAAAAAAAAAACHIIAGAAAAAAAAADgEATQAAAAA AAAAwCEIoAEAAAAAAAAADkEADQAAAAAAAABwCAJoAAAAAAAAAIBDEEADAAAAAAAAAByCABoAAAAA AAAA4BAE0AAAAAAAAAAAhyCABgAAAAAAAAA4BAE0AAAAAAAAAMAhCKABAAAAAAAAAA5BAA0AAAAA AAAAcAgCaAAAAAAAAACAQxBAAwAAAAAAAAAcggAaAAAAAAAAAOAQBNAAAAAAAAAAAIcggAYAAAAA AAAAOAQBNAAAAAAAAADAIQigAQAAAAAAAAAOQQANAAAAAAAAAHAITc/uTlGUnt0hAAAAAAAAAKDX SJLUk3vrZmRM4gwAAAAAAAAAZ6pu5tFdD6Cbn3jyFwAAAAAAAACAv6jm0PnkLzq9q66lxo3PUhSl +QvrdgAAAAAAAADAX1Gr0FmSpOYvurC3rtSAtk6fTSZTUVFRdXW1LMtd2BUAAAAAAAAA4HSjUqmM RqOvr69OpxNCSJKkKEoXMuiurIBWTjCZTEePHvXy8vLw8NBoevh+hgAAAAAAAACAPtHQ0FBWVlZS UhIaGqrT6aQTOrufTgfQjdvLsqwoSl5ensFg8PHx6exRAQAAAAAAAACnuePHj9fW1gYFBUmSpFKp ROcLcai6cNTmEhzV1dUeHh5d2AMAAAAAAAAA4DTn4eFRXV3d6kaAndLFuhmNJThkWVar1dx4EAAA AAAAAADOPGq1urEYRtcKQIsuB9AAAJyGuvOR7GmoO3cZBgAAQI87w2abDtLBSSyD6SC8icBpqCsB dA/+jjCZTHl5eRUVFRaLpft7AwBACHFmlIdSqVR6vd7T01Or1QpmkAAAAH2qMQMxm82lpaV1dXWy YeSbYAAAIABJREFULPd1j05THZnEMpiOw5uIXvNXiTTVarWrq2tgYKBer+/mrpoD4S5cV50LoJtD 55O/6AKTyXTo0CEvL6/Q0FCNhrXYAIDuUhQlPT09IiKirzvSAywWS21tbUlJibe3t1qt7uvuAAAA /K0pimKxWEpKSlxdXX19fZmetaUjk1gG03F4E9E7GiNNf3//kJCQxqy/T1RUVJxyG4vFYjKZ0tPT BwwYoNPpunnE5vS5szF0X8a++fn5Xl5eXl5eGo2Gz2QAAN3X+OHzmfF/fCqVymg0KopSUVHRuKab v5UAAAB9orHyaXl5uYuLi9FoFGfKhNMRTjmJZTAdijcRvSM/P9/Pz8/f37+vO3JqarX66NGjhw4d cnFx6d+/f191oy8D6PLy8qioKJ1Op1ar+XkAAPSUM2kKq9frKyoqunyrBwAAAPQIRVFMJpOHh8eZ NNV0nPYnsQymo3XqTURNTY2rq+tpXkfidFNeXh4SEtLXvWhy5MiR9jf4/vvvnZ2dY2Nje6c/dnU3 gO7OLwtZlp2cnEifAQA960yayKpUKlmWG+viqVSqvu4OAADA35F8gkqlOpOmmo7TziSWwewFXXgT wWvRKbIs92HljS6oqamxWCx9+Cr3ceVlSZJInwEAPevMmzydeWcEAADw19J8962+7shfSVvDxWD2 DkYYpw/WUgEAAAAAAAAAHKIvS3AAAOAIZ9jfJsVKX/cFAADg74j5WBe0NWgMZu/o7Djzcvwd/H1L cAAA0OPOsMnTGXY6AAAAf1Fkpp3S/lgxmI7G8OK0cjoG0IqlKnf/zt2H8ktrzJKTi3fwoBEjB/kb HFMtxHT0j592BZ51zlD3Nvev1GauXLqv39lnD3GjYgkA/AV09EN+U/7mr9/96Jdthwqr1W5BgyZe fNMtF8Z5O+YvY+Xa289fNOqjL64L6/T+mTsCAACcDjqcmdYkP3nBXXl3L33/LO9eSBHk0uSffsmL v+zsCL1Nc8nvt1z85eTPPrs6pG+Sn54JoOWiX2664KWDrVql+BdXvDHRaN1Ut+e/lzxY+8SPT8dV /nzjFcvmffXRpf4VdkemU/p8GLusN99EKObjKcu//Xnt3iMltWoX3/ARsy66ZHaMh1pUbX/+nh9i n3r+/KC/2Oj1IEv+skdeKL3p5WsjdU0tSn3u2o/f/X5jeoUxYvzFt944K1Qvtdd+Zjj9SnAo5sKd f65N1w8aNXGUl16uKszck7wqwTx/3jCvv+/lCgDohA79bVKqU96584FfvS6++8l7oj3M+SnLP3z3 X/dUf7jo2gFdn6C2SRJC6njfbPFfigAAAH2rU/MxSRLNqVEvzN+khrJdP322zev8+eFOrdKqLs8/ e0SPlOCQhBBCcp74wMvXDXBq2YPkEuLc5tOdB8y7bN4gF0m0PTKd0rfD2GW9V4JDqTn4zfOvb3Cf efktV4a5WIrTEpd+/+LLtU/+5/z+jfv8G7+RsVRlrvp86eH6qS1NSuWuRY+/tyf26rv/E1S06oMP nnjX4417RrtJbbX3aH8owWGl4fjBjBrv0XNHRTlLQghvHz8fbfmyXQdLYif4nX69BQCcfjo0l63d 98Pygth7Fv3rXF9JUcSg2BExhiOXLP4+9fJHhjmd8umdJTX3rEsBdE93BwAAAJ3W4SyvZZvemMg1 HUGyf7i+y/56ZgW0oggh6bwiBsXEGGyf29bTJZfBl948RFEUYW5qOGVnOtKNv9ycvPc6XJ/5Z2JJ xMLHFk71VAkhIiIHRjjlP7Dkj6z5/wzupS6clkwZnz/wyK95ihDCq6VVqUj5ZUvD6PtuPifeRRIR 2ozb/7t0e0n8TK9K++298V8UveK0jHQVpaHWJAtntRBCCJVz/wkzXS1uKiGEYio6uHX7gZySGsXg HTZkzKiB3jpJCMV0/FDS9r3ZJTVmyckjOGbM+MF+Okmpy/pj2cGIaZEF23aVhsw6a4SnqDq6a0ty RkGl7Ozbf+jY0ZEeGiGEUMxlaRs37jtaUqf2CBs5edwAd3VbPbN3IEvhlqUJlfHnzwo3SEIo1YdW /LLXf+65cV4qe71t3avhrpUZSVt2Hz5eY9EYAwaOmjAixPlMuboAoG90KIBWhCwr1cXldRYvnaII IVQ+Mx95M6QuVKsoily598fX3/w+MbVI9o6ZefW/7jwv2kUlhFx1YNlbb3y9/mBhjdo9bMJl/37g iqGuKlGecPtlP8578axdry1Om/R/H/0zUjq2fvGLi5bvypH9hkz7x7/vOivcqChCKLWHlz37zOdr 00p1EbNueeqBBaG6U/azg6cDAAAAR+t4AK2c2F5Urb3z4i8nPjw15eNvN2dLYVOvf+gfbr++/N6K fUW6yLPuef7fswLUtSnPXfmS620X1S77fs3eYkPkpCvvu/eiWFeVEMJcsPGjl977LTm7xiUsfsEt /752vJ9W2Ew+x94zffNTn+UI8cRZC7a/+939gw2teyEUxWJvElu/5+Ur7su549vXZ3mphJALfrnt qi+HvfPlbQM1dmfCtjPej2+K0p5qKHokgG5efSzLcoMs2z4oV6f+/NorX60/VOk+aMYVC8yNW1oK /3fLlT/N/vjx+oev+cjuyAhhPmm6bpDaGO0TnbTk/3Dj1SvO++qD8/wkIeSiX25euOyszxdfEFi7 7pQvsVS17s6Lv5r81FkZn3+7dm+BJnLWLU/ef06oTii1h3976+VPV+0rqncOHHXenQ/fONGnp3K6 3nsToQhZUWrLqxuEZ+PbG7XnuBvvDzQFNp6KUpezdtHi/yVlVWj7jbv0tuumBemEEObi5J8//m79 wWO1zkGxUy+77vzhXtKx3/7zyJq4p/57cYjWnPXtQ0+uUJ/77HMX9tOaDn/94NP757741Dy/E3Gd UrH5+QdWTfjX5NTPfzwS98DTF4eKLuzwyWmmxK8/WbYlo9Sk94mdvvCfF4/0VAvLseX/eeh7t7vf fWikc3fGRdtvwYOvzWio2P7GUytbWk15u48qYddFGSUhhDBEjI1SvZOSVz/TpY12b4P9vf/lnH5R p8Z7UKSxPOXXJSs27U7PKa5uUCSdu3+Al14lLOX7V63aYwqOnzl/7pRY18KkPzdm1ShCNBTtXLvt mMugcbPmzp4Y61q0a+PeUkvj3ixl+zanKaHDh/c3qkz521ZuyNIOmDBn/tTBLse2/LElz6QIIeTK A0n5HiNmzJ8zLkzJ2r49p76tH1L7B9J4hQdpijOL6hUhhFKTl16mDwt3V7fVW9teKaW7127NMQyc MHvOjPig2gMbtzV2CgDQZUpHGGIuOSvgyAf/uPDmZz/5JXF/frVZMYQOHTHATRKmrG/vuefzygl3 vvbhoucW9tv95j1PJxTJQtTue++h/9sRePHDby5664krQvcsfuaLDFPjIc2Hv3lxqTz1xptmBmoq k16/9fFVxnP/894Hzy8M3vHSnS9tq1SEEKacb9/YFnnTqx+9+8gcJeGNNzaXKx3rKgE0AADAaaCD M7fmuVvTV/Vpn35aOOORRZ88M9e8+v9uuvV75ytf+uzDR8aXLH/7y4N1QgghzDlLXvimevJdr7z1 xKWBKW/f/dhv+Rah1KS8ddsjyxqm3fvGB//3r0m1Pz10x/v7ahr3eWLyefO88Td88ul1wbqhT/y6 9P4hBtvVwUpjH+xPYg0D5o7Tp67cUykURVGKtv6W4T1rXoSurZmwsJnxqrs9ie3wYCpCCEWxNJjN DS0sFkWxHFv+2B1v7vC96PG3Xv/3nIYfXkkobWjevSRp+1/18Sd2R0axN12X7Y12bWNXT7yU1rU4 JEkIIUmS1MGXWJgOffXGttBr//vJp8+erax6/fWNpYowpX/28CubvC549K33Xr1jTNF3z762tdLm 3F3a0PGh6w36iDmTvPOXPHbvMx8sXbsrs7hOVjkHRceEuamFEMJcuPKrPSEX3ffEwzeMl7d8+WVK pSKU2oPfPPPG6oZRV93/n/uvHFH/5+vPfZdep/YaPNS9dG96hSzkiszUEiEK9x2uVoSlIv1Ahfew WM9Wi0XNOb9/vFoedcHFY3zUXdqhS+6y//ss2W3mjQ89ct/lQ0tXLvp8d5UihOQcPnnOvDF+2m6O i+TkGRjcr1+Qt00FGFNZQbWTt2dTm6R193GuLy6pU9pq7/jxNm/ePMzW5s2bu3kOPej0qwEt6QJG n322f1ra4aPp2zJ3y0LtEjBg2KgR4R6i5ODByoDxM4eFOElCeHsaqn9ZmZZfFxah1fkPHhcZEenr JAnhKXL3r60yyY3hutzgFDt14kAXlVDqjuzLsoROGR8TrJOEz+gJlaa06jrFVwgh+Y4YGxvkLAmP obFpGfsq6xRhtz6QIuwfSOsVEaRel3ncHNJPU5ObXmYIH++mbmirt5J1r4Q5t7xO7RUWGepvkPy8 XFyDa4yn34cCAPDX0pG/TbJwHvmvjz+NW/bzinW/vvHIJ2ahC4pfcM0dN84JV6Ut+Sl/1MNvXD/Z VQgx6CHPY5fftjSpZOY8o3HE1Q+ePe/sIW6SJIWrEr954Fhlg6LohBANtW6XvfD4Bf6SbClb/fWf punPP3LFWBchxd7zaE75srxy82BFCNXQWx64fKy3SkRcc8WSX7/MKW8QrupTd7UPJpEAAACw0qn5 mCQJRbEu2uA85vZb58QYpYbzz+r/40+j77thSpRBCrlk6ntrs0obhNBIkhAec//z6BUjDJI0fJDX sctu+3FN/vwFR7/9o2LU/U/fNNNTSNKgp817Ln3jxwM3PhEvWiafKkWRzGqVJIRKkoQiW68Rbl4A LexMYi1CGAfMGat9dMW+qsnj9UVbfsv0nf1wqK7uoP2Z8Hyt9YxX7shQtDVonRpMRShCyBW/3X7W b9bNof/8YvG0jT/sNC5454lrhhlkacRAj9xdN//ectpCCEnS2BsZpXy7nel6hWxntPffODjuxDBa 999qcE/9EpsVxSCEkJXgq/995VgflQhfuDBmySdHyxuEvjSr1GnQrHOmjfCURkS+EDi+wF9j816m oqLCzc2t1ZhUVFR0aOg6+SaiG+81DNELn3oqes2ajTvWfblxaYPQ+sZOO/+KC8f30yuKIlRRl1wz d4inSvQ7Z97q9cvzKxsUKfX3jdWx19x6wVh3lRBht5jTH/z2j4wLb40YEW1Yl3ykZqo+Z89x/7FD qvemZNdODM9KKXSOHu6nseqiIhTFUm+cc+dNM33UQlSndGWHoiyvUhc2dlL8IHfVwJC7fIeW+mgU RZFco+ddEd29IWmT0mBqkHRG3YnUUaVz0UnmugZLG+2yEG0VaWht/PjxixYtuvnmmxu/XbRo0fjx 41sfnhrQNiSdZ/8hY/sPEYq5quho2r49BzatrNacO6q+uNZcsmHJtycqaVossktVvSwZPMIGaI4f yzxQXHy88FhuQb0IPbErldHfx6ASQgi5+niF4jrcS9tYwl7nHz/dXwhhKhMqZ58THzGo1O2lv5Km jQNpvSMCpA2ZReYgj9yMMmPEeDe1Uldmv7dCb90rofGNHeiasGHJzwdDQ4OD+4WG+LtqzqCbXALA 6UpRFFkyRk676v7pV0tKbf6eNUu+/PSb/95eaPji7sqDx6tSHz9/lrrx97FcX28Oyqu0SD4Rs852 3p/8+3cHDhzYs2Nzcrky9cSqB63/yKFekiwrSn3hgaNy6D8jDIrFIkuSYeQdL49QFFGZoWj9Bke5 CVmWhaJx4nc9AADA34PGI9Rba7FYVELtpNF6hXlpZNkiFI1e23y3QkkbMT7SYLFYhBD68EmxTiv3 HaublJFtDl4Q7SosFoskSe4x8f71azNKLfHGlsmnrCiSLDcuEm4rWpIMdiaxQgjFOXreaPXjKw7U jAnZsjzTf+6j/bSWssP2Z8LCy3rG28sLIyTnCfe/dN0AXXNREUnvFygOHyjUDZoUrrdYLLIk6cLG D9SvaHlOS/Jq21tJMhfZma6bjnxuf7TjOlIAod2X+MT7BZ/YpvcCQu2klYSQhKSPveKCkHufOP+i H6ZOGT9+8rSpI4KcRKuhbZVBV1RUdHkcHUhlDB19zjWjzxFy3fH0pNXLf1nxwXPF2hfviBFC4xnZ z6UpAdOpJCGEaCg/UtDgOyWiqVnlGhHjVb8ju8ISExIfLr5Iya/xPJDrFHvVpON7ftxfUKPfna2O mtXvpPv0aLyjoxpL6HZxh3pl3nT/V96/599/joofMTxudHy0X7duV9kRkkanUUzVzbUPZFNVvaLR adRttHdujWpzBm03fe5bp10AbSndu2mvGDxhiJdaCEnr4hcZ5xvotvLn7RnF5n5C5Rw9Y+5g95bx lzROaqU2e+sfiUfUgRHhIRFxAyPSEjaamx9Xa9Unrh5ZEU0/961YbdOutg+k8Y4IEJsOF5f7pZcZ wye4qYRQhP3eCpNNrySdf9xZl0QV5mTn5ObuSti1o9+EsyZHsAoaALqhIxNiU8bXL30jLn9g4UC9 JEk6vyHzbnthdP9bLnz190PVExW13yWvvnt1f40shJAkSUhqJ6O24fiG1+96eo3T6Lmzp8y79cL5 y+55qupE9TpJp1c3LqxQlAZFSGpJlmUhC9E4yRQqRQhJ27yNLAvrWXH3TwcAAACO1vHJW3MN6Mav GuuuNQbFoml+KDc9cmJ7RZYb542SokiS3KAojatsFVmWJVmSJFmRhFAa49/myaeiKKqmYyiKotiE lyfSV0tx4mt3PnXyJFZW9DHz4sQzKw8cHfxbZsDcR4PVsiwr9mfCSpXNQTs4XD0wmEJRFEnrFTEw OlrfUtVaEaI2SyWdGDZZkiRFkSTrCXarL6zWzp48XZckub3RPqnfQlhMtWalYy/xiW20TpqmhdjN /RLGYbd9+Ou5KRvXb9y88YN7Pnhn0sOLn5jt2zoRKi8vd3d3b/yi428Neu1NhOnorx8vF/OvP6e/ TgiV3mfgpEujBgc+d98XG7NqY4SQNE5ae5mbdZukkoQiK0IyRIwOql2x/3BwanXQgrCoMr/K9YcO 69Pr+50TdvInAa323PkdSlL0ZU+8OTUtZeeu3bt+evmnb0f+88nbJnh3dMVx1+g8AoymY2UmRegl IURDVUmdk4+PXmqrvbP7b8ygT7f0WXS/BrTSDXZ3KEly6ZHU9GKz1b83WMwWoXbS6d08tHXFlcLJ YDAYDHpN5cFNW9KrFKW+YH+mOXz6vGmjB0cGextVDRZ7u1Y5e7uIymNlDY0PmvM3Lf1la2GDnS3b PNe2DyRpfSP85Ly9ew+Wu0T2d1UJITnZ722rfco12SlJ+0qc/MIHx0+ac+6cAarctII2a1ADADqi I3+DVBpz2uqly1NrGiyWpkpy5toqk3Byd/HsH2EsPZAtu3p4eHh4uOuyv332v0uzzZaK5G9X1Mx9 6b0X7r5y3thoP3VtvWy7tEKWZUXR+EQHiOxtGTWNa0Oqkv678OpXU2pPdExumsYqHexn884BAADQ tzo1fxMnhaFN37XsqukRIYRizth0qLpxi5rMTQfq/GL9DN4DQrR52w+UWRRFURRL6b6kAl1ohKdG 2E4sm76117XGR8p3fmN3EivLiiFm7gh5y9dfLDkcPH9akFpRJNf+4fZmwrJiM+PtgeHq5GDKlgYb sqwOGOzfkJqY3jRstYe3pNUqLaPbMratj2Nnun7Vqweco04x2ooiFNFQa7YoiqLI1Vm7C0yi5RVs /yVuvU1T9xoKEz95/YsDxqGzrrj98Xe+euc89aalyeUWe4NQVlZWVlbWwRFrPmLHt+zOOw5J1ZC1 NWH94ZqWK0M21ZiF1uikarXrpu/U7iH+mqJ9mZWNz7BUZOwr1gb0c1EpkmtUvE/x9g2bC70H9zO4 Rsa4FWzasL3ELz7S2LqD1nvu2g4bSnb+/NXyI8aB4+ZfdtPDzz88XZ2ScKCyg9d3l9+r6oKGhUpH tmXWCCGEqM9JzpJDRgY7tdneBe2kz119kbt1yo1OuxXQKreoYSEHEletMA+LCfF00crVRYf37Cn3 Gj7RW++qiXJZvm3NdhEX6akU7d+yvyJ0totKEnqjxnQ8O6/E6K0qP7J7yxFTg29lbYO/q82OJX1Q bEjSuk2bPcfE+GnKUrccbvCf4aEWxzrcNUndxoG0GknS+kb6WdYdqfCIC2lc8q/xibbX25P2KZVl 7Mqo04yN9tVUH0vLrXMKdrX72RAAoKM68tdRG3L29ZN+fPre26uuvXhilL/BVHhw9ZefZw268bFB HsH6cwNufO2B1+Vb5kaKvd+9/N3RKW8E6yTJ009fsXfd1lTPASJ73eevrq6qHZJTVDs05MTsp3HB iueYyycrj734UuTdFw/RZy17bVXN0BcinZSdVts0r3fpUFe7/8ceAAAA3dfBFEY5qUZw4xMlYbUG QVjnZ0ISZb8//0Lo3RdGW/b//NbP5UPunRWscfa5bLbL3a89+4n4xzjv4xs+eTPF86z3BhtkxdQ0 j2ycWCpCUSRL5dGcwopwHxerPKGpC5LBy/4kNlgnJOfB84fUP7r6aPhtU/1VsizL+kEXnRtwU6uZ cJBWUU6sp2iZzXZoHLo9mEIIoZiLDu3b06Bt2V7SeUcMmHJJ3AcvPvVc4N2XDNal//LOr6VC23JQ RbQ1Mvam6y9GeA+5fLbLXXZGu65ptFXGIH/p8C/fJ464KKR6x1fvpdSp/K2z5jZfYmF7GVgNgOQk Zf7+4e9l+nsvGqIrSv7fplKPcf2cVT00/++1NxGagCnnjfxj8cvP1Zw3Ny7UW99QnLHl11/y+l/4 zzAnsdvuUwwD544zvPTFoqWq80e4lyQt+SrNbfIjUc5CCLV37BDjD38c9ph1lZta6zI4XPy+Lcdv QYxH+8uSu7RDlU7kJP6UWKn7x+woXfGB1bsqXIb7O0lCrjzwx6+7naZcOD24u/chtENyG3H+BM3z H3y+7u5zggpWvPunafT9ozxVbbafMU67AFqonPtPnC/tTUnL2r1pV02DWu/mEzJq1vABHmohvIbP nqXZmpSy9lCdyugXNXHmSF+tJIRf3PiBG7YlLj+gdvELHzZ5itOWjUmJqX5zI212LOn7jZ87YceW lMSVO2S9Z//46aMCdJK5jW7Yo23jQPMGu6sknW+EjyrXFBl6ImRW2++t7S8AySlozOShW5JS1q4w Kxpn37AxM+J8Tr8XBQD+Ujoy2ZJV3jMeW6T5+pOfVn/24kdFdU4eIbFT7nrthnP6aywi8vq3Xte9 /OYn//mlVOM/4qzHXr1piJMiq4bd8vCFz7z69I3fawOGz7v+yWc9XnrmrWeXDnt7ftNBm+adbuMf evfRd1766Lm73jV7RE2/88U7411EtfWk03oKSgANAADw19DZyVvLxjZLCJvSScVqG8llwj1Xuf7+ +gOLyo0RE2974/4F/pJF1g+9691nnV9a9Mb/s3ff8VEU/R/Av7vXL5feCSGV0EJACFVa6L0qoiDY uwiI+EMUARHbI4g+oKKAoNLURwkWLIjSeygxEIiBACG9XXK5uju/Py45QrhLQpJLSPi8X3lBbnd2 Znbvdnb2m7nZuV+WugR3nfT2fx9qrxAtlUfcSnxj+7f/4YtnZhetWvtMG9tEyRyRNQyrjHl6/sQl N3ViO668N0jBXKKHdZAcKhnVN4C3zmUhi7y5J6wk8cb9aLgANHFExEoPr5h7+IbFrkNXbJs/9I2P DO//5+tls7/QRMXNWDRj+7up18t1cGTsdtdndtUwroqjzRhjostdz700atGHS5780S387ikvzCld vKnCLlT3Fl9fXD4ymohz6zFryYz3Vq5/5VmdqPKLHvTie0+3VzJRaFoBaJJ49njiNemPP+w68sPa /xUY5a4B4V0feGnCgJZy0tnfglO3fWDBc6ovvv3yvR0GZUC7wS/MHxepJCIimX/nturfjrZq5y8n YkGdWnJHMtt19K0mEly7DF1iHnx6zPpN21cuLWUKr8ge02dPjlASCbpL+37/1a3tGKcEoIlziXl4 /oy167a8MbdYE97twVce6+rKVbG8uajpX66srInFcikpKeHh4bUuOykpKSYmRiZzxvvZ8ISCkzt+ udZu7PA2Nw1zBgCABmI2m0+fPh0WFlZtSo7jeJ6XSCQcV/ZgEMaYIAjWLxVKJBKJpOyv7LblHMdJ pVJbYmsm1mfF8DwvCIL1d47jKm4uiqL1SSYSicSaxvq7ddsbnlTuQGZmZsuWLSUSCc/jAgMAAADQ CKw9uqtXrwYEBFSb2NbJtFgsFTuB1uXWviURSaVSa87GM29PedWy+LvFXZTlszaX9xLtdkqt+dg6 n9aXtu6oLchj3daaxlofurETKwgCx5kvffHo00embFw91odZGGOVurKOCq0JR53YWz2YUqnUetxs C621stW20nLr/loT2D0ydrvrjm4BbDtuy40qxHZr8hY7uhew3ndY7y84jmOMWWtSkxuEmqj5TYTF YnF1ddXr9fVS7h0iKSmpa9eujV2LsodSpqWlVZ1s48aNRDRlypT27dvXuqzU1NTIyEi+HJGDB+05 gMG29YCZCrMzr55J1vt0DcbjAwEAGl0NR6ZYO3m2q2bFAR3WXqOtm142tJnjzGZzxb67bUNrl7Hi wOaKm1tLqTRfXsVN6r47AAAAAOBsNey82aZmto3hs/U8K3YFLRZLebZExASLxWyu8KBqx53SilnZ 8rf1LW01tA2toLLn7FXuxAra1H9OH970XV7b53t7kyBWeEx2tYXW8HDVy8E0m83WOG+lbW27VrG4 iseEbuyo24qz212nGhxtazy64q7V5C2ulMa21rrcdn9Rsdr1ouZZSaVSRJ/B2RCArgeCNuXg/lRp cGyfUHVzGh4PANBE1bCzVUUyu6vq0tuutOSWepb12A0FAAAAgFqrYczUUZqKy22/cxxX9pQ9UbSF pKvOqoYdy2qrak7/5f23/lD2fe7VOG8mmCsFVW81t1vdpI4H06Z244Vrvo+V3rWqi7P7FtftMr7k AAAgAElEQVSwoHqHmwi4rdQ1AI0PNBFJfWLH3x/b2LUAAIAyzezaVHGsRGPXBQAAAOBO5NT+mCJ6 3vfbrdNENGhnT9H2ma92ziQii8UiCPUz7UNFjg4aOrcNA8cZbtaIHwaMgAYAAAAAAAAAaASswmNI Grho65hrBCgBoAEgAA0AAM1NM+tDN7PdAQAAAGiinBSrbazOXrUTStQ9/6rXopfrVDi8cFtpzCk4 eJ63WCwymayOdQAAAKioOXW2rE/QxrfnAAAAABqRrSdmsVgkEkljV6cJqKITi4PZAHAT4Ww8z5vN 5iYU0lSr1RKJ5A6dgsPV1bWgoECpVFZ8mCkAAEAdNac+ll6vV6lUuFACAAAANC6O49RqtV6vd3Fx aey6NAFVd2JxMJ0NNxHO5urqmpeXFxAQ0NgVod9+++3w4cPVJmvTpo2rq2sD1MeRxgxA+/j4XL58 meM4b29vuVzeiDUBAIDmpHkEoM1mc15enkQiCQwM5DgO3UcAAACAxmLtjLm5uWVmZmq1Wm9v7yY0 8rGBVduJxcF0KtxENAxrSJOIGvcDXJPos1qtbtOmTfv27X18fBqmVnZxt3SXbk0slktJSQkJCalL 8RaLJS8vr7i42PrtAAAAgLrLyMho7CrUA4lE4uXl1apVK5VKxfM8uo8AAAAAjcU6j4EgCEajMS0t LT8/H0EMR6rtxOJgOhVuIhpMUwlpSiQSV1dXb29vqbROo5DT0tIiIyP5ckR0Sx+tRg5AAwAA1Bfr c1SsmsEgaGtn0dprtP7b2DUCAAAAuHNZu5q2f5tBb9NJatKJxcF0HtxEgJPUMQB9a8FvjisLWOMT DAAAtyFbN6sZ9GK5Chq7LgAAAABAPM8zxqxdzWbQ23SSGnZicTCdBDcR4FS2z9WtfsBqM/ra2kBY P814aCkAANxWrBfC5tHfqrgX6JcDAAAA3A6aU2/TSWreicXBdAbcREC9EwTB9leN2p2wdZr+Q61W 63Q6Nze3umQCAABQX9CFBQAAAADnQW+zHuFgAjQVOp1OrVbXJQe+dptZw97e3t7FxcVarfY2n28b AAAAAAAAAAAAAGpOEAStVltcXOzj41OXqV1ueZZM23MIrbPFm83mvLw8nU4nimLtagAAAAAAAAAA AAAAtxWJRKJWq729vWUyme3hlnTr312ozWOaWAW2J5Za88HkMgAAAAAAAAAAAABNl22SHCtr9LnW j7is5RzQtpKszy1F9BkAAAAAAAAAAACgeagUg27QKTisbBHnSqFnxKABAAAAAAAAAAAAmi5brLli GJpq++DQWgagyV7QGdFnAAAAAAAAAAAAgKauUgyaaht9proEoK0QdAYAAAAAAAAAAABormodei7b vH4jyIhHAwAAAAAAAAAAADRddYw4V84NIWMAAAAAAAAAAAAAcAa+sSsAAAAAAAAAAAAAAM0TAtAA AAAAAAAAAAAA4BQIQAMAAAAAAAAAAACAUyAADQAAAAAAAAAAAABOgQA0AAAAAAAAAAAAADgFAtAA AAAAAAAAAAAA4BQIQAMAAAAAAAAAAACAUyAADQAAAAAAAAAAAABOgQA0AAAAAAAAAAAAADgFAtAA AAAAAAAAAAAA4BQIQAMAAAAAAAAAAACAUyAADQAAAAAAAAAAAABOgQA0AAAAAAAAAAAAADiFtI7b WyyWvLw8vV4vimK9VAgAAAAAAAAAAAAAGhfP8yqVysvLSyaT1SUfjjFW642t0WeFQqHRaKTSusay AQCgYaSmpoaHhzd2LQCaD5xTAABNFBpwAICmCK13gxEEobi4uKioKCgoqC6x3zpNwWEwGDiO8/Dw QPQZAAAAAAAAAAAAoNmQSCQeHh7u7u55eXl1yadOAWidTufq6lqXHAAAAAAAAAAAAADg9uTq6qrX 6+uSQ50C0Hq9XqFQ1CUHAAAAAAAAAAAAALg9SSSSOj78r04BaFEUeb5OOQAAAAAAAAAAAABAc4Xw MQAAAAAAAAAAAAA4BQLQAAAAAAAAAAAAAOAUCEADAAAAAAAAAAAAgFMgAA0AAAAAAAAAAAAAToEA NAAAAAAAAAAAAAA4BQLQAAAAAAAAAAAAAOAUCEADAAAAAAAAAAAAgFNInZWxIfGdcQ99k+c1cV38 KzFKZ5UCAAD1Syz55/tN+/PKX/Iqz4CWre/qEROkdsZfLFlJ0vdbk6ImT4x2dZA901/752xxi5g2 XtLqEwPctkSTNjcrO7egxGAWmESmcvH08ff3cZPb+SzrU7Z/+WdWhQW8wr1F2259YsPdJLdUZtWn DE4oAIAaqXkD3rCdqKpZMv/e/Kt54AODg2T1kBsuGQDQ9NxC97uM8fJvm3ZeMvv1fWBcOw1nJ4Gj ptXBcvO13TtS2o3tF3Bj6LVWFwtWen775pOhk+7p7FH9jbPjbBrTbVotAABoRPLQfsM6e0lINBXn XU0+fuSnzJLRE/u0UNR/STLv1h2jfOT2Lu9WoiEjMSFd1b6Nl7T6xAC3JWbKTzt/Mc9oWyCY9drs K9rsbO+wqBAvex9pPrD3yB5+UiIi0VR87Z8Dx/74XTF5gsMOp31VnzI4oQAAqlOLBrzhOlENCZcM AGhSatF6ExmzktPNRJRz/mpp27Yuzm3x6v9iUfHG+bZ0m1YLAAAaDydRe/n6+UmJyC+gZViI92/f 7N6fFD3prlsLftWkJIV/x+7+zkgMcLsQStKt3V9O7dsq2N9TLSNzaWHWlbScUmPexfNSebuWmptG NvNKT18/v7IhFH4B3uzql3+mZpR28rA7GMOBqk8ZnFAAANWoTQPecJ2ohoRLBgA0JbXqfpMxK/mq 2TPmLunpk+evlrZp49QIdPO8WFStUQLQ5mu7P31n1fdHLhWZZe6h3Sc8/8pT/X3zdzwxevFJsfWc 7V89ECSh4gMvjZy529hl8c+fjPI2pf364Vtrfj1xuUge0Hn4wy/OmtBOw5vT1t8/adWlgPveeVy/ ZuXJXqu2zGonb4zdAQBo1nhNWOeIg/EpacWdPNx5Zsw6s2//mbRcnaj2i7zr7t7tfeUckTn/3ME9 x1OydRaZa1D7XgO6hbrwRELxxSN/H07O0DIX//AufXu39ZIZUrZvTowa3iZj39HckFETO+Ts2JrY +t6JbUr+3vq3oke0+eyZfzNL5d4hnfr2jfaTFSV8981xLdGujRvTx07pWvjT1sTW906MduWFkkvH 9hxJvlZoknsEte3ZN7aVhicypsZvOhk2qG1ewqnUrBKJV2SPwX3beuBPrdCImCHncpaRiKReEa1b uVs/jQqNd6vWUuGflHyLMetyjk+7AGXVHVyJXMYTk/BERHbOQZn+/I5NB9TDHxjcUk5ETP/vz5v2 yodM6V36S9kpI9x8hnK6cz/ghAIAcKg+GvAadKLMGbvtdIEUHNlt8OWc48aZmXL+2bf35MVco9I3 olNbgdn25NbysdN/k1a4ZNxSVxAAoMHVsvU2ZSdfNXvcFdVamp5wMDldHxWl5shx0+qwya2NGt1x V9jDmxNIb7hxfqBfgKS6TBpeI1wUzJc2v/TSF/svmf2ju3b001/a/8W8137OJp9eEzvzRBd+O5on Eun/3ZWgJ77z+B5eLPuXedNe3XaswLf7wLtbaU/+8NYjc75Pt5Rnl/3r4jfi/9UaRCp/uw1n3h4e a8ewZacNDb+7AABNntS9hTsVZxcLJBSc+unHBGOrXiMmjBvayS3zwI+7UnSMhNwTv+5JU7cfMHrs iJ4tdad377tiJDJe3bf993/l7eLGjh/S2TV9z449V4yMiIT8U38niWGx3SJumEdQ0Cb+fdoY0mvE 6IHRrpkHd/x2rpg8Ok+c1MVN4j9w2rS+Adcn1DJlHPzhtyQhtPfI8SN7h5oTd8YfyjKX5ZJ38sBl jy7DJk0a0oZS9u1L0zfooQK4ETMW5Fk/g0oPFymJumtnExL+uaoTSeribn1Ehj6vwHhzj5WJ5SyG oiunj2dIQzoEqTj75yCpgtr4Wq6l5FlPA2NmcpY0uF2A7St89s9QG5xQAAA3q3UDfqNqO1Fktwsk UhXp7TbOYknyb/EH0tUd4kaP7BMpnNn7r0G0Jr61fBz236iq3Kq50AAANJhatt6mrOSrZreIEHe3 lmEeLCs5Xc/IcdPqsMmtrZpcLMrYTcDdcOMsrTaTxtDww1hYaWa2Z+euQwe/vGhKOJ+24f5JH128 lJhpGhvdc1Ks9MSRszsTCsfG5e45Ukh8l/HdvYQrG9Yd0FOrR1d+NCVYak5d/+iTm05s+CF1zBPW +ypR6Dpv3cvDIzxcyu+zlB2eWjIt4dmv/r3h4Ibdv/jpaDwNEQCgFiRyGS8YLcyS+0+iNqj/yNhQ JRH5eiuLt8YnpesjQ/UFeqlPRJuwFmquhbebWyudq4Tp006lWMKH9u8UrCDy7zNAu+usVi/6EokW RcehAzu48kRMd70QRsrWAwZ0aiEnCvRVlWyNP/NvcZvOGp4j4jie52x/ZiRj5qnzxqB+g7pFqjki 30FC5paDZ7K7+QcRkcjcOvfpFKzhyDMmxvefE4UGkVQYgQONRTTqyu7AS1JPHScikroFhvqpebIU F5YFc406o0jKG78GaLn0y4bPK7zWtBs5IsKFI0fnYOugNj6mY//mWwL9pYbM5Cxpq2F+ciqLIpNg 5wwlKv9bPk4oAAA7atuAV1ZdJyrMQRco2mA/fZTEbuMsmlLOXJO3HTPwrkA5UQtfpTZj+3kicnjh cJAP0VV7/Tevsr25la5g/b8nAADVq13rbcpKvmJ27RDqJuGpVYjm2Jnka/rISGWx/aZVdLC8Dqq7 WLQuT+iwVVdcv3F2mEbdmIOgGz4Azbn3nP2G66/f//T5nOmJp5Ku6YmIMSLiPbpNiJUdOXT6lzMF 7dL2ZVjjz7zx7IkrRHR57SMj1toyyU7ONlEwERF5Dn54bEzADZFl3qP7zE9X0ZPXY9Bh9/93zeye nrhjAgCoDcFkFiVqGRnzs0tNuX98vY63XrlEi0V00xpEmV9Me/efd329KTEsrFWr0PCwQDepkJNd yDxivcvmRpK36DmiBREZconXtPC384RfjvdqVZ5a5hXiKz2fXSyQ5ubaiPrcItGtrW/Zt6Y4lV+Q xnIxTy8GKYgkLn7e1hWcRCbhiKix/9ILUIGyRZvIQCUz5F+5eKlAcJyu4kMIzcXXTu87tvtI6yn9 /E0OzkHOs2WU976TFwsFf9fs85nSkGG+crIFoO2docTKuuY4oQAAaqKmDXhl1XWiyH4XyGIsdpDe xW7jLBTnlEh8updnI/UM9pFeICLmsFz7+VhK7PXfmC6TqKrc7F5oAABuAzVqvU3ZyVfNLm3C3CVE 5BEarDqVnJxhiGjloGl11OTWQbUXi7Kwp+gwwfXnFzpu+dWN+bfBRhgBrT2y7IFntueoIgdOmDh7 knbTGxsvWdfwnt0mdpMfOpDw0/49Wakk6TqhhxdPOlFgRFy7J995uoMtzCz1bKukYiIiUmgUduLK FWPQiD4DANSJpehaEbmGaSSsiHhN9IgxnT2vX7l4mVLC8S16TpzeLiPt0uUraUd/PHoodMDEOA+R EfF2/sZafo9TJY4jElkNY10cESuPi0mk1WcO0FB4hYuCiq7PAGbR5VxLJ31edpHZtkzhcnNP5saH EPq5FKd8c/ZKseAvZ/bPQeLUwVFeB89cKurkn5whCxvuK6sQK+YUN5+hg1s7PFFwQgEA1L4Br6Ta ThRlVdqirAvEHDX4ZrLbOHMcd1M2RES3mg9z1H+rMjd7XcHBURrcggNAg6tN623KPnfVRKYz3687 Y1uWkZxhCFY4aFodNbm1Vv3FonyPHLbqFW6dHaZpVA1/STBc/PXvHKKo51e8PWfGsOBi7fVVnHvX iT0UpNuz6vN/SHLX+O6ePJEisEMAESsRWnbt3bt3t1BD4oF9h85qq68579F95mfrly5d/zmizwAA tSeWXDz5r8EzspWrROHpJS/N0XJKtVqtVqul2jN/7TmrFUXdpWMHTuYqAlt36jlw7H1j2/OXk66Z XHxdSXs1v+w6b7r615atezPNjsthYv7lPJP1d3NBWrbFxU9j96+kvMrbnS9OzzFYr7FMn51eIvHw wrwAcBviFJ7eqgqvld6BQUGB3ooKi1Tenopquqy8QqPgzHoT4xycg0TEuwRHeehSU1LPZcrCorwr njvM3hlqKO+j4oQCALCnXhrw6jtRRPa7QLIq0tsjcfXTiLlp5dlYCq/kWph1N24tH01V/TdHudnt ChrwnRkAaAS1aL1N2eeumhThA8bfU2Z8XLhCzDiXYdHYb1odNbm1VbOLBRER8TVo1W+15W8gzh4B nb99zsQDyvJ7GEWbJ1e9Gd3Cg6jw/H8ef3iXT25CYj4RMUFkREScW5cJvVR7/8orIUmsNf5M8rAx 98dsfP/05489nNzHP/vQ3mStPPbl+135shHQVeHdoocPd97OAQA0T0zQ5WZlihISTSX56cknzqQr O4zu4MET+Ua3df3fvl/2U8823pR56u/ThWFj3KS8wOUnHz1vkPWJ9peWpCellSpbucnV7p1CD/72 19/efWMCJfn/7L1gChjhKaUSR6VyZEje/bdnn46+LPPMvn8MAX0i3XkiIo4ZiopKjDJ1eUpFYExr +Y/7/jzOdW2l1l06uj9D1Xacv5wIj7uB2w6n9G3ll5uc7ejDqfBv5Vv5Gdx2cuE5ZtabRZLZPweJ iHhNq9buBw4d0rp2GH9D/Jk4iZ0zVGYrFCcUAIA9tWvAb7UTReSgCyRzdZDe/hfIeU14xxbH/v5j t1ufmABJ7j8HzumtQ7YcXjjs58Opgu323wqtqx3kZrcrKMM3aACgMdxy623KTr5qcomKCffzKu9D u8VEHk49l5wl62u3aXXY5NbYrV8syoLdjlt18fqNs8bxFacROb18oTA78/ordaFZGnLvwplJiz7/ +3JqesCoF2ddXvnBkcJje9KMndsqiHPtPKGX+q8/SyVdyuLPRLJW961cL33/3Y1/7v3tgktQ7ORZ c54dHSyjKobRAQBAXZjS9v2URkREnNIjoGX3kT1jWsiJiKQ+sWNGSfcePPbrWT2vCWwbN6p7gIxI FtxncJc9B479+oOJSTX+kX1H9AyQcRQ6YNyAg3uO7dp+SFB6h/cafneQgnMc0uLkre7uLD+/96dD BrlXSM8x/dq58UTkEhTml3Rs+w7D+Hs6lSeVt+g9bqhsz+F9P50wyz1aRA8fG+svc/IxAagliaZl 6zDhwsU8I11/FoqVwjusdZCmBl+Gk2q8VMKFpCulLSPsn4NERLwmpLXnocOWiNaelbJU2jtDyfYI UJxQAAB21aoBv9VOlNlRF4h33ODbw2uihowx79t78s8dxxQ+EXcN7HJ2b34V5TrCqez130rLV99K V/AWDjUAQD26tdbblJ18xeQW3bbiCA6pd9so138Sk7Olw+w2rQ6b3Bq71YvF9QHWjlp1/vqN8729 /W6p5W8YHKvpDJt2pKamhoeH12NtiMj075r77luT0e3Nn1cN88K3PwEAnMAZrXcdmTN2b/5VGDR1 cFCjXxgBbl3155Ro1OZmZeUWlujNIvEylcbD28/f173ayUMBAMCpGr0BRxcIAKAWGr31rgHztd07 UtqN7RfQ2GOP60kdwwi301EQ8w9v+O/ab+KvkKrf5O4euCUDAACA5oFXuPm1cvNr1dj1AACAW4QG HACgKULrfZu5rQLQxed+3XGixL/jhGfn3I3HBgIAAAAAAAAAAAA0bbdTAFoaMmPL0RmNXQsAAGh4 ssC46Q81diUAAAAAGha6QAAAzZSsRdzEFo1didsHxhkDAAAAAAAAAAAAgFMgAA0AAAAAAAAAAAAA ToEANAAAAAAAAAAAAAA4BQLQAAAAAAAAAAAAAOAUCEADAAAAAAAAAAAAgFMgAA0AAAAAAAAAAAAA ToEANAAAAAAAAAAAAAA4BQLQAAAAAAAAAAAAAOAUCEADAAAAAAAAAAAAgFMgAA0AAAAAAAAAAAAA TsExxmq9cWpqaj1WBQAAAAAAAAAAAABuN+Hh4bXeVtqIZQMAQKNITU1F6w1Qj3BOAQA0UWjAAQCa IrTeDa+Oo5AxBQcAAAAAAAAAAAAAOAUC0AAAAAAAAAAAAADgFAhAAwAAAAAAAAAAAIBTIAANAAAA AAAAAAAAAE6BADQAAAAAAAAAAAAAOAUC0AAAAAAAAAAAAADgFNLGrgAAAAAAAAAAAABAPWCM2f6F GuI4zvavMyAADQAAAAAAAAAAAE2bNehsyMy49MnqwlMJosHQ2DVqGnil0iOmc/Ajj7mEhJJzwtAI QAMAAAAAAAAAAECTp08+m7bwNTc/X/8OHaVShD1rxGKx6PNyr7w8N2TxUlWbts4oAu8EAAAAAAAA AAAANGGMMcbY1f+8q/H2UhGJ6VdNgtDYlWoiJBKVxlX08kp//92IT9eSEwZBIwANAAAAAAAAAAAA TRtjzFBQ4O7nZyksbOy6NCkWi1hYIHd1LcjPZ4w5YwoOvt5zrAdi/vEta+P/bdiJWm690NITCwcP evV4qfPqBAAAAE2cKXnl6G4TP79orrCs9PBLfbo/vktLJGb/78HYm3R7ek9JeVqm3fdSv9jY2If+ lyWWLxMytj1QIXmPoZOfXLjhSK6lQXcMAAAAAOA2wsqIpCthTMTPrf6UHzfmjOc33pYjoC2Fx7eu Pew1aUyE0lkPX7xNCgUAAIA7HafuM3/FY1GK60t41xB12a+s+Ez84VIiSvrxUO74cX62oQOcpv+C 5Q9HypmlOOP8ke2fffTMycyPv5rXzQ3dGAAAAAC4MzHGmMhEs7n6pHAzUbTGn52R920ZgAYAAAC4 U3By74j20dEqe+tY8Znth0rDpz6i3PRF/KHcMWNtEWhO7hPRPjpaSUQdO/ca1L/13HsXvvft5K8f CZM1XNUBAAAAAG4roshEsSYhVGYwm4oFa0peKZe58hjIQTU7dLXhtCk4tLse7zfty13r5tw7sHuP QVPmb0tK2bns4ZG9Y2Pj7l/yy7WyL4mK2tNfv/LgyLtjY3sNn7FoW1KxSOZL6+6fvOaK6dQrg4e8 cUpPojZx26IZo/p1i43tOXjyS+tPasWbCtOfXDr07id/ybOuETO/m9F79AdnTUSmjL8/fHbSoB6x PQffO3PV3qzyP4GYrv25/OkJcd1j+415ZMkPKaWmSoU63PAmpvRf33pkVJ/YXkPum7vuRIFIRMRK U75/4+GRd8fGxvYb+8yHf2dbiEpPLBw24b2fty55dGzfbr2HPTB/U6KdHQEAAACwYSWJ2w+Vho4Y O2pka/HMjiN5jvoOEv+4GUM9U3fuzcA8HAAAAABw5xKZWJMfvcF4oVUXsW8/6tuPesWkS4y5Qo02 bPY/TnpfnDkHtOHcZ2syB7++/uu3R5h+f3f6w5vUD67YvHFh77z4FeuTDERkSt349FNrtX1mf7Rx 3bvTgxP+89SCndmS0Ie+3vRoS3nMG7/uXBCj0p9eOfvdI4H3Lfx43SdLp4WcWvXquvOmyiWpokb2 ViX9dLKIEZGYtX/7BZ9hIyNkuhPvP/Lit+aB81Z/sWpuv9Itsx9debqUiGkPv/3wy7+qJyz+fMN7 04OOLH1i6TGvioUqHWx4M7HozzfXFcTN+/DTN6e2TFz91AubL1vIdP7zOcv2et2z6JPPP5zVM/ur 194+oGVEZL6ybcnG4v5zVn6y9P7AhOVPzP3hGp7GCQAAcCcQhYoswg0jCxgTbiSW9/tKzmw/VBo8 tH9wix6DQsRT8UfzHfYIla26BnMZiRk39ZIAAAAAAO4YVc5zLBQbjXlGY57BlNXvzSEfzI1+YGq7 +6e2e3TBoLXzjFJjrtGYZzQWWkThxq2u5eccyLb95CUUaK8aBaHKCZUFwXA6J/+qRayiMoWlukxz FQluNcP6+XHS++LUKTjUPV94fmS0K5nvGR269Zse854a2EZJIVPi/vvnxTwzEZ3bujW9+2urn4hz 54jaR3llTHzs28N5w8e4SyUccRKJhOcY03R9+NWxI8d28uCJIvk9X825prUQySuV1GZkL/ncH88U D+znkrV/e4rf8IWh8uLDX/5c1P2VL58e5sMTtV9mOj1++ebEZzpGHtqw0zT4P68/2NuNo47zFl1d 8L+rBULs9UKLT9jdMKa7uvIeMvIat2TRg3epibq088qY8Ni3v6TdOy0vNV/Rdti4QbHefNeoli37 ZAXKrIk9Ri5eND3WpSzx45t/Tx87oxVmQQEAAGje2OU1U/qsqbTwrvJfxKL4JwbEV1wV+ux3mx8O kVHxmfiDpS3uHdBSLqM+/QM//jr+aMHwEd52hw9wco2aN2oN+OM2AAAAANy5GBOZ6GDQBqcsaR1q lBKT+oU+1Nny5/ITv2cyIpKHRbz8VPv79p88XChyTJpz0aXAdL3LLfHx+yS+R2T5S6GgNPHIhQ0f p6UIITKHs3Ywt0F3b56snf2CmOmgf8650rAxinM7WWaNZqyuPsP6wJw2AtqZ0U+pZ6ivgoiIlyml Mu9wH7n1hcr6/ojalKSckrPzR/SRWN8v0Wg0B10tspD79Tw4deTw8erEYz9t+icp8eThfccL2UAi YkV/zhw776COiPcc/NH2t3u4tB/VQzr/x8SS3mH74lMCRi4KkZuvnk8ztxzfwcP6meE9o7sFGHZd yC/VJF4SWz3VWsMREXGusbM/jCUiU2p5meY8+xua2xyaU7HQjkScPKpPZFlYWt26fwfFjrNZZlX0 g/e0evaVEaO3DIzr02fA4IFdg1VcKREni+wT5VIh8c+n002EADQAAEBz5zPmjbcmBdsmZ9afWfn8 CtvKmx5CyKsCAqVEVJIYf7DUb9ygEDkRhQzo5bUxfsfxwmFDvewVwUwlpaLCRyVx3l4AAAAAANzm qhrGq4hsN2eBpoULZ9AKxiLq+mj3ruWrzFoa+HzvCa68pci4Y/G1Ly9cD8QyxhEzHxqUDFcAACAA SURBVPgwK/4KRxLeN1w9eEqn5TEX5jyju2hROQhBM2KMqhxTLHFzmzjD9avdhTX7CmP1GdaHJjoC mohz+IKIRMYk/lM+/OyhcNt4Zk6idpdThWi7mPf3ssfm/6HoOXJ43KiZ94z67tnXSoiIc+21aPN2 AyPieJW3iohcOoyKpYU/J16MiU8JHLU4WEZElQ8aT8REkZiFES+t6v7M/oaVC73pLw4cx0ukPMe7 dZ311R8TT+z5a+/+PaufWf1B/8VfvRN3c2JOFJz5oQEAAIDbA6f0j+oQHWHr75TqPKRUaFvr4CGE JWfiD+pIt2n63ZtsyxK2Hy8cPMS9clIiMlw+foUFxgXI7awDAAAAALgzMFEUHY2ALj2V9cL/Ff53 meyjh/NPFOQwRYDUnGni/ZR8od4kV/m7L1vvt39W9s/ZN2zFiTwxIe+i/twFjojOJeoOHCx9eXXr mSOOz96uEImJlkydLtNkMRGvUahCXZQuHDGR2SpjJwEJ6doiL0Zqff5RLeuskfL2Mrlxv65nKFgM aTp9vlkUiFfJlWEalSvPiksKzwnqzu4KGRGRmF1UeE3qFuMi5ezmLBqTCgw+bgqtTl8qc4t2kfDl R6++35AyzpwDurqi3cIiNPlJVzlPHx8fHx9v1dVNi974/uoNYV1WeHTjj7pRH6xbPu+hMXd3CJDq jdYjwau8WwQFBQUFtQj0UnBExGk6jr5LOLBh3dZ/W44ZHCwjknlHhcjSDycVlj2asCDxSKY8NNJL 5dc+kC4fSim1Bn9LDr8+fuKyBP31Qh1tKL2pUGKm8/tSymaHLk3Zk2Rs0amFJPvvT9/74pxbl5HT Z7/5+XefT5Ls/eZYASNi5pR953Vlif/dm2Twj8ZdIgAAANhVkhh/QOc2aPEXm8t8sWSwmzkhPqHI zp+vLZm7v/itIHx430B8swoAAAAA7lyidQ4Oxz+MiBgndJvi3dNL9OvnPamzIA9UTZ3EazhG5VN4 3LwJVVhiydJ995cxdIjamxNF8zUWrHl13bhdh6bu3jFg7ohM0WhgonUoMSPRfgJpqw4bNnVsKfdd tPOel6MlDjOp+HM9w/Sg4VEf/3Dv3kNT//plyKJ7CiRmC1N4vfTT5OX9SkVRZKLA3NWr9ox+Oopz lLPbwD6/fqqIGBqzYeeIx8PpxlKcoTHvUtQd7p8QOO3tF96hWWOj6NTGJV9dGrimpZzIQsQJ2rTL Wdq2rl7+qqLTuw8m+7WXXPp9zZu/F5fGXMnRx4aoKofOOddOYzoZXvo9LeKFgUFSIiLXLtNGuD75 1quf8k/088n+c/V7J7zGruuk4ZW9pw9YPnfRkjbzp92lSNn25i+6zisjlFxueaFqP/sb2tkFjgp2 vL4kZO597YTTm979prj7oqFBcsWllB2r4wtVr0zppMg88u3efM8+wWpOII4K4hcuDvu/+zsIpze/ u60w5uURrWR2MgUAAIA7CDPlnD9ziq5PwUGczDuiZXr8QZ3f6OmDolsryxYHTxv+0R8/bE8o6t+O iBlzzp8+JSqYpSTz/OH4tZuOeEz+5N4Q9CwAAAAA4A5mnaXC4WrrKiaV9ZgUKj13yTggalx26p4E /8njdUcOmomI3bQ5R6w8Mm1bJqSfLGVx7r7SwmxPz/c/bq/blv36fy2qDu5PzBm0QJfw5kFpWdSa WcjfboK8mU+WfPiR25fTcw8UOUpTsWtfHgZnTN6hw7sveZ5Zm/VlouDWUfPkMz2mnL781SXT7qPC omFMeYDpyeTeNbh1nvaTNLOjnBkjeXjb/7tH3LuxYH+2bdeqOnR106jDZBRtn/psteLN9z958X/5 0oAuY5esntlJzRFJ/XsMiv52zSNPFH2xbdashZPnv71g6tfyFl1GP7nsXY+lr72/YFvX9TNCK99h cW6dRsVI9mvHxVnjz8Rpus5d957L0o/efnqtThPSfcqKtU/EqInIq//raxevWPrJgkdWmDyjhrz4 wUs93DhOcr3QuQ42vIk85MFX7svdsOyZFVr3doNeXvt/I/0lHN39f28/tuQ/n85+uERU+ccMm//h rBg1JRCn6TPvIc2Py55dWaiJ7PfCp69OCsIoJQAAgDsdKz3wzjMHbljkNmr5QvOBkpZTxtuiz0Sk jBo/qsW2zfEntW2JmG7PW8/sISIi3jOsc6/nVs2cFuvq8DEoAAAAAAB3AOtIXoerGWNEzDrTBBPL XjHGiDEmitb/Km3ORJ7KRkZf72wbi02iQq7ghNAJkS0O77t35ZUiRnRQetl93McT1e77RUbWzBwm KLGIjJhoEURBCHeQprBixcsyFKnUsm35v7/9mJVnKrEkKGImDgjQMCZaUv/QmhYFRsoLTht1d43y zNl18YpBCH3Ifs4iY1KV8P2ia79kVQw5V3Xo6sZpEVC3QZ8dGFT2uyTogS0HHih7IW876yfbTZbU u/vjy7c+XmlbzqXTs2t/e7bsVdyLa+NetK0b9c3AVxwUac5NyeDbTh0QeH16Z3mLuBdWx71QOSWn Chv1ytpRN2Z0Q6Fkf8MbqLss2fkdEdHgyUtuWCHx7v3Uyv89dcOyUiLilKGjF26cvLDKXAEAAKAZ kbd54cejlXoU6h7v7Tti/dVv4pfHJtrf8q9jN+UV9Vz8seeIiGjTscn1Wk0AAAAAgGZAtAaSHa4m VvY8P6owr7J1hLN1+ombNufKBkBXfPyfyCl53igaGIW1V2va9t++t2wVr+ClGb5u0uwCa9a8owQ5 2vJx1SLnME2+2VaL8royoST51JYMPnZgyNjo6JhYz04e7G/GRMZKzhefEIKGtE4/dUU+MtLw53Kj sYqcGZkz85PyhBt3tnlOwVGPRG1KwrE9a7fkdHixfwAe/w4AAAAAAAAAAHCHYUxkVY2AFq3/loec y/6vsPCmzcteVlwuFvl0as1l5uYYpYEcy9p68qXvVAIRkWjRX9KL/qJRrinLU8rbT6DgRFttHaap EA22VdLi2i1yxbIIy7HC3XtL1u/IGfJOhIYxJhKVGHYlcHOHGH1PR0RkFqy4IlaRswsjZhZMlko7 W9Whq5tmEoA2Xf7hjVd/Usa9uGyYfyM+VxEAAAAAAAAAAAAahfUZgo5XM8aIiaTgSSLheY7niVcQ r2ScSGQg65BkOyOgGRO0JjMRWURBK3i4PTBUmbZJl2kUPC+Zvdrpten5WomaxNzIx2NnmbVvbTKU ze5hEa7YT2AUiBExwaIXLCpHacyVKk6MkbTztEiXHw9P/UBqJoNJYhytiBBFo8BkHBPP/qqVzIuc 1tbj2s4L6WZRJHKUs8hY+fMWKx29+nwzKmgmAWhl9NwfDsxt7FpURd1lya7djV0JAAAAAAAAAACA Zkq8eRLnihgjIpHpS9Y8mcwVmg2p52YJlgJT2uMzxXwLx4jRzXNAM5FxUu+QwjCTwEnlAW0ixj3e Llab89IPerNIyd8VZK/pteLFQyu+z+Hu6rLwQa99L+QYRVFpHVtNFkcJJCQniTzA64pUF+oozU0j oBljojZXdItxjwk8kyQGTnim72BX2RnfTBIDGfHFZwoSVZGD3UvW7DGaRUYkOspZXla9SjuLKTgA AAAAAAAAAAAAHBJFURQdB6BFQcZkvMJ4PD2TiIjyKZeIiArySBLUQcXzZkvlUcEcaSScrO+CkX2t ORQaEo9ee/njrAQtIyL9uWuz54izn++2fKLUklWyc2nKZ6ctAiPilcRrOLHEUQIxy7A3qcUTG0b7 PZW0KslBJhWVZ3hq9eXti1ov3dLelFHy+/q0RdpW8+fFTT6bvOWySEV5P58K7+mRty9dsB4ER6Uz XkW8mROLbzxWVR26uuFYHWLbqamp4eHh9VgbAABoAGi9AeoXzikAgCYKDTgAQFNkt/UWRVEQhD/i +vgq5I43Vaqnr2o3I4qzu1J/JO3xl3MyLPVX04bDmFBi4Q0PbRnWZ1vic9+bhNpkkmM0Dd69TyKR 8HzlGY7reMXECGgAAAAAAAAAAABo8qp5CCGV6jY8eiLeV6aU3LTKIuTlWkzOGgLsbEwdbGjbp/MU v+JVe02WWs7ljIcQAgAAAAAAAAAAADjEbn6KYGWCmJfZJAc5V4kPvifurRHinpUpu7KE2oaR6zJP RtUQgAYAAAAAAAAAAIAmT2RiVQ8hbL7EpPcTBr9f10wwAhoAAAAAAAAAAADAESYyVsv5J4Ccd+gQ gAYAAAAAAAAAAIAmT2TszhwBXS9ETMEBAAAAAAAAAAAA4BAjiyDwHNfY9Wh6nBd9JgSgAQAAAAAA AAAAoKnjOM7N38+Qm6skzMJxywyM3P0DOOfE7hGABgAAAAAAAAAAgCaM4ziO46L/79V9s58vtJg9 ZTIZxkHXjJmxArNZLpV1XbDQehjrvQgEoAEAAAAAAAAAAKBp4zjOs0evgd9uT/jwg+zTJ816Q2PX qGmQqVT+0R1jnn7WPTwCI6ABAAAAAAAAAAAAKrNGTnme1wS1vPutdxljzJmTGjcn1lHPPM9z5eq9 CASgAQAAAAAAAAAAoMnjeZ4xxnEcAtA1x1XgpCIQgAYAAAAAAAAAAICmzRY/tQagG7cyTYv10CEA DQAAAAAAAAAAAFAVZ8dSoRb4xq4AAAAAAAAAAAAAADRPCEADAAAAAAAAAAAAgFMgAA0AAAAAAAAA AAAAToEANAAAAAAAAAAAAAA4RZ0eCpmamlqPVQEAAAAAAAAAAACA2014eHitt5U2YtkAANAoUlNT 0XoD1COcUwAATRQacACApgitd8Or4yhkTMEBAAAAAAAAAAAAAE6BADQAAAAAAAAAAAAAOAUC0AAA AAAAAAAAAADgFAhAAwAAAAAAAAAAAIBTIAANAAAAAAAAAAAAAE6BADQAAAAAAAAAAAAAOIW0sSsA AAAAAAAAAAAAUA8YY7Z/oYY4jrP96wwIQAMAAAAAAAAAAEDTZg06GzIzLn2yuvBUgmgwNHaNmgZe qfSI6Rz8yGMuIaHknDA0AtAAAAAAAAAAAADQ5OmTz6YtfM3Nz9e/Q0epFGHPGrFYLPq83Csvzw1Z vFTVpq0zisA7AQAAAAAAAAAAAE0YY4wxdvU/72q8vVREYvpVkyA0dqWaCIlEpXEVvbzS33834tO1 5IRB0AhAAwAAAAAAAAAAQNPGGDMUFLj7+VkKCxu7Lk2KxSIWFshdXQvy8xljd8wUHGL+8W3fp3eb OjZC2cwLBQAAgObNlLxy4rS/x2/b+liYrHxZ6eGXhj5fuPiPzwZpsv83Y+Sys5W24bot3/1xPw0R ETHtvnmjZ+0ujX7lp3UT/XkiIhIytj045t3z5cklXuGde456dObU7j63ZccOAAAAAMDpWBmRdCWM iY1dnSZIV8KYaD2Id8YIaEvh8a1rD3tNGhOhdNbDF2+TQgEAAOBOx6n7zF/xWJTi+hLeNURd9isr PhN/uJSIkn48lDt+nB9v20rTf8HyhyPlzFKccf7I9s8+euZk5sdfzevmhm4MAAAAANyZGGNMZKLZ 3NgVaZpE0Rp/dkbet2UAGgAAAOBOwcm9I9pHR6vsrWPFZ7YfKg2f+ohy0xfxh3LHjLVFoDm5T0T7 6GglEXXs3GtQ/9Zz71343reTv37k+kBrAAAAAIA7jCgyUaxJCJUZzKZiwZqSV8plrjwGclDNDl1t 8NUnqR3trsf7Tfty17o59w7s3mPQlPnbklJ2Lnt4ZO/Y2Lj7l/xyzWJNJWpPf/3KgyPvjo3tNXzG om1JxSKZL627f/KaK6ZTrwwe8sYpPYnaxG2LZozq1y02tufgyS+tP6m9eRS9/uTSoXc/+UuedY2Y +d2M3qM/OGsiMmX8/eGzkwb1iO05+N6Zq/Zmlf8JxHTtz+VPT4jrHttvzCNLfkgpNVUq1OGGAAAA AA2FlSRuP1QaOmLsqJGtxTM7juQ5+iqhxD9uxlDP1J17MywNWkEAAAAAgNuJyMSa/OgNxgutuoh9 +1HfftQrJl1izBVqtGGz/3HS++K0ADQRGc59tiZz8Ovrv357hOn3d6c/vEn94IrNGxf2zotfsT7J QESm1I1PP7VW22f2RxvXvTs9OOE/Ty3YmS0JfejrTY+2lMe88evOBTEq/emVs989Enjfwo/XfbJ0 WsipVa+uO2+qXJIqamRvVdJPJ4sYEYlZ+7df8Bk2MkKmO/H+Iy9+ax44b/UXq+b2K90y+9GVp0uJ mPbw2w+//Kt6wuLPN7w3PejI0ieWHvOqWKjSwYYAAAAAtSEKFVmEG0YWMCbcSCzv95Wc2X6oNHho /+AWPQaFiKfij+Y77BEqW3UN5jISM27qJQEAAAAA3DFExhz/CMVGY57RmGcwZfV7c8gHc6MfmNru /qntHl0waO08o9SYazTmGY2FFlG4catr+TkHsm0/eQkF2qtGQaiqICYIhtM5+VctYhWVKSzVZZqr SHCrGdbPj5PeF6dOwaHu+cLzI6NdyXzP6NCt3/SY99TANkoKmRL33z8v5pmJ6NzWrendX1v9RJw7 R9Q+yitj4mPfHs4bPsZdKuGIk0gkPMeYpuvDr44dObaTB08Uye/5as41rYVIXqmkNiN7yef+eKZ4 YD+XrP3bU/yGLwyVFx/+8uei7q98+fQwH56o/TLT6fHLNyc+0zHy0IadpsH/ef3B3m4cdZy36OqC /10tEGKvF1p8wu6GMd3VdncTAAAAoArs8popfdZUWnhX+S9iUfwTA+Irrgp99rvND4fIqPhM/MHS FvcOaCmXUZ/+gR9/HX+0YPgIb7vDBzi5Rs0btQbBCfUHAAAAAGgaGBOZ6GDQBqcsaR1qlBKT+oU+ 1Nny5/ITv2cyIpKHRbz8VPv79p88XChyTJpz0aXAdL3LLfHx+yS+R2T5S6GgNPHIhQ0fp6UIITKH s3Ywt0F3b56snf2CmOmgf8650rAxinM7WWaNZl2oPsP64LyHNzozAC31DPVVEBHxMqVU5h3uI7e+ UFnfH1GbkpRTcnb+iD4S6/slGo3moKtFFnK/ngenjhw+Xp147KdN/yQlnjy873ghG0hErOjPmWPn HdQR8Z6DP9r+dg+X9qN6SOf/mFjSO2xffErAyEUhcvPV82nmluM7eFg/M7xndLcAw64L+aWaxEti q6daazgiIs41dvaHsURkSi0v05xnf0NLdzWmzAYAAIBb5jPmjbcmBdsmZ9afWfn8CtvKmx5CyKsC AqVEVJIYf7DUb9ygEDkRhQzo5bUxfsfxwmFDvewVwUwlpaLCRyVx3l4AAAAAANzmqhrGq4hsN2eB poULZ9AKxiLq+mj3ruWrzFoa+HzvCa68pci4Y/G1Ly9cD8QyxhEzH/gwK/4KRxLeN1w9eEqn5TEX 5jyju2hROQhBM2KMqhxTLHFzmzjD9avdhTX7CmP1GdaHJjoCmohz+IKIRMYk/lM+/OyhcNt4Zk6i dpdThWi7mPf3ssfm/6HoOXJ43KiZ94z67tnXSoiIc+21aPN2AyPieJW3iohcOoyKpYU/J16MiU8J HLU4WEZElQ8aT8REkZiFES+t6v7MwYYAAAAAt45T+kd1iI6w9XdKdR5SKrStdfAQwpIz8Qd1pNs0 /e5NtmUJ248XDh7iXjkpERkuH7/CAuMC5HbWAQAAAADcGZgoio5CeKWnsl74v8L/LpN99HD+iYIc pgiQmjNNvJ+SL9Sb5Cp/92Xr/fbPyv45+4atOJEnJuRd1J+7wBHRuUTdgYOlL69uPXPE8dnbFSIx 0ZKp02WaLCbiNQpVqIvShSMmMltl7CQgIV1b5MVIrc8/qmWdNVLeXiY37tf1DAWLIU2nzzeLAvEq uTJMo3LlWXFJ4TlB3dldISMiErOLCq9J3WJcpJzdnEVjUoHBx02h1elLZW7RLhK+/OjV9xtSxplz QFdXtFtYhCY/6Srn6ePj4+Pjrbq6adEb31+9YSA5Kzy68UfdqA/WLZ/30Ji7OwRI9UbrkeBV3i2C goKCgloEeik4IuI0HUffJRzYsG7rvy3HDA6WEcm8o0Jk6YeTCsseTViQeCRTHhrppfJrH0iXD6WU WsPMJYdfHz9xWYL+eqGONsTwZwAAAGgoJYnxB3RugxZ/sbnMF0sGu5kT4hOK7AxLsGTu/uK3gvDh fQPRXQEAAACAO5donYPD8Q8jIsYJ3aZ49/QS/fp5T+osyANVUyfxGo5R+RQeN29CFZZYsnTf/WUM HaL25kTRfI0Fa15dN27Xoam7dwyYOyJTNBqYaB1KzEi0n0DaqsOGTR1byn0X7bzn5WiJw0wq/lzP MD1oeNTHP9y799DUv34ZsuieAonZwhReL/00eXm/UlEUmSgwd/WqPaOfjuIc5ew2sM+vnyoihsZs 2Dni8XC6sRRnaMy7FHWH+ycETnv7hXdo1tgoOrVxyVeXBq5pKSeyEHGCNu1ylratq5e/quj07oPJ fu0ll35f8+bvxaUxV3L0sSGqyqFzzrXTmE6Gl35Pi3hhYJCUiMi1y7QRrk++9eqn/BP9fLL/XP3e Ca+x6zppeGXv6QOWz120pM38aXcpUra9+Yuu88oIJZdbXqjaz/6GjXCIAAAAoLljppzzZ07R9Sk4 iJN5R7RMjz+o8xs9fVB0a2XZ4uBpwz/644ftCUX92xExY87506dEBbOUZJ4/HL920xGPyZ/cGyKz WwQAAAAAwB3BOkuFw9XWVUwq6zEpVHruknFA1Ljs1D0J/pPH644cNBMRu2lzjlh5ZNq2TEg/Wcri 3H2lhdmenu9/3F63Lfv1/1pUHdyfmDNogS7hzYPSsqg1s5C/3QR5M58s+fAjty+n5x4ocpSmYte+ PAzOmLxDh3df8jyzNuvLRMGto+bJZ3pMOX35q0um3UeFRcOY8gDTk8m9a3DrPO0naWZHOTNG8vC2 /3ePuHdjwf5s265VdejqplGHySjaPvXZasWb73/y4v/ypQFdxi5ZPbOTmiOS+vcYFP3tmkeeKPpi 26xZCyfPf3vB1K/lLbqMfnLZux5LX3t/wbau62eEVr7D4tw6jYqR7NeOi7PGn4nTdJ277j2XpR+9 /fRanSak+5QVa5+IURORV//X1y5esfSTBY+sMHlGDXnxg5d6uHGc5Hqhcx1sCAAAAFDPWOmBd545 cMMit1HLF5oPlLScMt4WfSYiZdT4US22bY4/qW1LxHR73npmDxER8Z5hnXs9t2rmtFhXh49BAQAA AAC4A1hH8jpczRgjYtaZJphY9ooxRowxUbT+V2lzJvJUNjL6emfbWGwSFXIFJ4ROiGxxeN+9K68U MaKD0svu4z6eqHbfLzKyZuYwQYlFZMREiyAKQriDNIUVK16WoUillm3L//3tx6w8U4klQREzcUCA hjHRkvqH1rQoMFJecNqou2uUZ86ui1cMQuhD9nMWGZOqhO8XXfslq2LIuapDVzdOC0C7DfrswKCy 3yVBD2w58EDZC3nbWT/ZbrKk3t0fX7718Urbci6dnl3727Nlr+JeXBv3om3dqG8GvuKgSHNuSgbf duqAwOvTO8tbxL2wOu6Fyik5VdioV9aOujGjGwol+xsCAAAA3Ap5mxd+PFqpR6Hu8d6+I9Zf/SZ+ eWyi/S3/OnZTXlHPxR97joiINh2bXK/VBAAAAABoBkRrINnhamJlz/OjCvMqW0c4W6efuGlzrmwA dMXH/4mckueNooFRWHu1pm3/7XvLVvEKXprh6ybNLrBmzTtKkKMtH1ctcg7T5JtttSivKxNKkk9t yeBjB4aMjY6OifXs5MH+ZkxkrOR88QkhaEjr9FNX5CMjDX8uNxqryJmROTM/KU+4cWeb5xQc9UjU piQc27N2S06HF/sH4PHvAAAAAAAAAAAAdxjGRFbVCGjR+m95yLns/woLb9q87GXF5WKRT6fWXGZu jlEayLGsrSdf+k4lEBGJFv0lvegvGuWasjylvP0ECk601dZhmgrRYFslLa7dIlcsi7AcK9y9t2T9 jpwh70RoGGMiUYlhVwI3d4jR93RERGbBiitiFTm7MGJmwWSptLNVHbq6aSYBaNPlH9549Sdl3IvL hvk34nMVAQAAAAAAAAAAoFFYnyHoeDVjjJhICp4kEp7neJ54BfFKxolEBrIOSbYzApoxQWsyE5FF FLSCh9sDQ5Vpm3SZRsHzktmrnV6bnq+VqEnMjXw8dpZZ+9YmQ9nsHhbhiv0ERoEYERMsesGicpTG XKnixBhJO0+LdPnx8NQPpGYymCTG0YoIUTQKTMYx8eyvWsm8yGltPa7tvJBuFkUiRzmLjJU/b7HS 0avPN6OCZhKtVUbP/eHA7i1vTgpXVp8YAAAAAAAAAAAAmhmxLKzq6IcRkcj0JWueTP440Xj6P+dm rdcVHE17fGZWmsHCiNHNmzORcVLvkMKw8LzwKH2f8RHLv+7XR5vz3x/0ZtGS/F1BdkyvFS+qo0Ny Ok68660HvbJPGY1lBTFGjhOQnCTyAK8rUs7kME3lmjPGRG2u6BbjHhOYqvJn9y3sO9hV5uObSaKF iWLxmYJEVeDgUP1ve4xmUWTVV8/u8XGGZjICGgAAAAAAAAAAAO5koiiKouN5JERBxmS8wng8PZOI iPIpl4iICvJIEtRBxfNmS+VRwRxpJJys74KRfa05FBoSj157+eOsBC0jIv25a7PniLOf77Z8otSS VbJzacpnpy0CI+KVxGs4scRRAjHLsDepxRMbRvs9lbQqyUEmFZVneGr15e2LWi/d0t6UUfL7+rRF 2lbz58VNPpu85bJIRXk/nwrv6ZG3L12wHgRHpTNeRbyZE4tvPFZVHbq64VgdYtupqanh4eH1WBsA AGgAaL0B6hfOKQCAJgoNOABAU2S39RZFURCEP+L6+CrkjjdVqqevajcjirO7Un8k7fGXczIs9VfT hsOYUGLhDQ9tGdZnW+Jz35uE2mSSYzQN3r1PIpHwfOU5M+p4xcQIaAAAAAAAAAAAAGjyqnkIIZXq Njx6It5Xpvx/9u47vqry/gP4c292gIS9ERlSBcTBsCpO3HtUi3vW2drauu1PQcN4dgAAIABJREFU 0bpn1YqrbsW6FW2rtmqdqK2iSHEhimxkhDCy7j3n90cQARNEwjFA3+9XXqk59znf873PLcnlw5Pn 5HznoUx29qxMdVJLgJMWF3ep3HDwpkPbzr/5terMKu7l7CaEAAAAAAD1ir97F8HlZaPZ09fKRc4r lO7ysx0u3z169YbxL87IrmqM3JB9MlZMAA0AAAAArPVqb6bX2F00gmjctaN3urahRayABgAAAACo TxzF8SruP0FIbuoE0AAAAADAWi+K4//NFdCrRWQLDgAAAACAesUhk82mU6nG7mPtk1z6HATQAAAA AMDaLpVKlbRrWzlrVmGwC8cPVhmH0nbtU8lk9wJoAAAAAGAtlkqlUqlU33N+//rpvyrL1LTIy8uz Dnrl1MTx3Jqa/Ny8/udfUDuNq/0SAmgAAAAAYO2WSqVabLHljo89PfrGP84c835NRWVjd7R2yCsq atd3434nn1ravYcV0AAAAAAAy6tNTtPpdNNOnbe+/Ko4juMkNzVel9Suek6n06lvrPZLCKABAAAA gLVeOp2O4ziVSgmgV15qKQldQgANAAAAAKzdluSntQF04zazdqmdOgE0AAAAAMCKJJ2lsgrSjd0A AAAAAADrJgE0AAAAAACJEEADAAAAAJAIATQAAAAAAIlo0E0hJ0yYsBpbAQAAAABgTdO9e/dVPje3 Ea8NQKOYMGGC796wGvkzBbCW8g0cYG3ku/ePr4GrkG3BAQAAAABAIgTQAAAAAAAkQgANAAAAAEAi BNAAAAAAACRCAA0AAAAAQCIE0AAAAAAAJCK3sRsAAAAAAFgN4jhe8pmVlEqllnxOggAaAAAAAFi7 1YbOldOnfXnr8LIPRkeVlY3d0dohXVjYvN+mXY49vknX9UMyMbQAGgAAAABY61V88tHEC/6vpG2b dn02zs0Ve66UTCZTMXvWpLPP6HrRJUU/2TCJS3glAAAAAIC1WBzHcRxPvuaqpq1aFoUQTZlcnc02 dlNriZycoqbNopYtp1x7VY/b7gwJLIIWQAMAAAAAa7c4jivnzi1t2zZTVtbYvaxVMpmobG5+s2Zz 58yJ4ziJLTjSq73imm/RexfsNOT37y5axdMr3r94lx3Peec7p9d3/IfWAQDWHdWf3LDXwAP+/EXN UscWvX3m4EG/eLE8hGjmE0cM+I6BJ7+64JuxcfnrZ247YMCAo5+YEX1zLDvtkUOXGr7FLgefeMG9 78zK/KhPDAAA1iDxYlFYuCCOIx8/9OObeYuTuH+jFdAAAI0oVTz43OuP71Xw7ZF0s67Fi/8znv/h yLcXhRDGPfvWrP32bbtk6UCq6XbnX3dMz/w4M3/ap+88fcdNp7w//ZYHzhpYktSNqwEAYM0Wx3Ec xVFNzfcP5buiqDZ/TqK2ABoAoBGl8lv16N23b1Fdj8XzP3z6rUXdDzu2cMQ9I9+atfc+SxLoVH7r Hr379i0MIWy86ZZDttvgjIMuuPqxgx88tlvej9c6AACsUaIojqKViVDjyprq+dnakenC/LxmaQs5 wspN3apIcAuO6mmv3HjqgUO2GPDTnQ467ebXZtSEEMKi9y7Ydf+r//bwxcfts83ArXY99NwRY8sX /0JpVD7mwfOO2GPrAQO23O2oYY+Mmx+FEEL5i7/Y9ogRbzx60bH7bDNg0I6HXPDkF1XfN/7w+1+8 67cH7ThoiyFDz31k3PjnLjtmj60GDNjhkIv/PnXJL6dWT3n+8mP3HDxgy51/fsZd781dYQ8hmj/u L+cfvttWA7fa48gLn5pQ+c2rUd/xH1rnO1M39aXrTt5/h0EDtt372IufGr8ornc+47nPHbvt0U+8 98T5Bw/52c2fVtd7aQBgrRMvGPv0W4vW332fPffYIPrwmXdm1/dTPafdDkft0mLCc69Nsw8HAAD/ u6I4WpmPisqqz9bbPNpm27DNtmHLflNyqmZlV+rEdf4jodclqQA6Xvjetcf+7rGaHc8afs/NZ2y7 6C+nH3fDmNrtjmsmPXLxffO3++0Nt15ySIfR151wxlNTsyFUT7jv5JPuLB98+k333XXVkV1GX3PS +c/NrH3WVZ/cc/Wb6x1/7YMjrtw7eu7KK1+ZE69wfOXHd9w+facL737wit2r/3HVkceMKD7i+ofu u2Cr2SOvv3tcZQghhGjeS5feNXeHs2687dLDOo8dftKvH/oqU2/N7LSRZx5/zb/bHPyHW/90zm41 D13+wtxMCKHe4z+0zvJTV/72Fcec/Xzx/hf9+d6rj+z0ziUnXDKqPKp/PkP15/dd/Fi0w0mn7Nwh dwXTAgA0lii7tEx2mX+DjuPssqJvfnQv+PDptxZ12WW7Lh23GNI1+mDkv+fU+0O9cL3+XVLTxk6r TvR5AADAmmyF+xxn51dVza6qml1ZPWPbS3f+4xl9Dz1so0MO2+i484fceVZVbtWsqqrZVVVlmSi7 7FlT53z95swlH7NHzy2fXJXNrnBD5Wy2cszXcyZnohU0U7Zo4fSaFQz4oQVXz0dCr0tSW3DMf+/+ v80bdN79J+/aOh1C78uqx+x33UNjT+nXN4Q4NN/jomFHDmgSwuYbtZy2/y8e+seUfX5e9vDDUwb9 3/ATdihNhdC7V8tpBxz/2Nuzd9u7IIQo7nz0OUdt1S4dehx5ZJ9H//xlWSYUf1z/+FD801//ao++ zULNz/Za/+FHtzjrpB1/Uhi6Dt3hTy99MbsmhJwQ4tBy34uHHbFZ8eIejn/s7xMPOmphnTV32uSF Ef9put/tlxy7eZMQ+m/UfPLoY58NIWSm1H08VNbdW311lhPPfeve56p3uubCI7YqSYWNzxo2+fwn Js8ty9Y9nwNDCJmKkkOvueTgjjkhVI75U93T0uZ/8W6TALBmiL+6fejg25c7uNk3/xHNG3nC9iOX fmj9Ux9/6JiueWH+hyNHLep40Pad8/PC4O063PLgyH/P3W33VnX+UE/lNy1OV5VXZhPoHwAA1g5x HMVRPYs2UoULNli/KjfEuW3XP3rTzEvXvfeP6XEIIb9bj7NP6v3zN95/uyxKxblff9FkbvW3b7lz Wre9deQWPb/5Mjt30dh3Prv3lonjs13z6t21Iy4ZsvVDB5ef/utoej3vz1PNwq57F3z8XDx9pXas /v6Cq0Oc2ArohALomtmfTqzpvF+f5rWvV7pF34HtK1/8bE6mbwipvJ6DezWpHVe8wXZ9Cv42ZkrF 7tPGfb3go3N3H5xT+9pFVVU1nSbPy4S2IeS16durtlA6rygvFUKIo/Lx9Y/PbbF+m4La4YW5ea26 t85f+twQQgip/F6DexYv1cMzH82oLJ9eZ81Fbf87PX/DX26wuOWi7lv/pPCvIYTqaXUfr6+3+urE 8146bZ+zRi0MId1ip5uevqjZ2C+j9U7aoGkqhBBSzQacfuOAUPPFnXXP58AmIeS1H7BJ65ywgktn Qpv81fK6AgCroPXef7j8wC5LNmeu+PCGX12/5MHv3IQwXdS+Q24IYcHYkaMWtd13SNf8EELX7bds ed/IZ94t23WXlnVdIq5esCgqaF2Uk9yzAACANdyKlvEW9Nzot+c37dgkVVmerZoX+h83qP83D9WU hx1/tdX+zdKZeVXPXDT1/s++DWLjOBXimjdvnDFyUirkpNt0L95p6CbX9fvst6cs/CJTVE8EHYc4 DitcU5xTUnLAUc0eeLls5X6F8fsLrg5r3wrosHzD6RDq/BeIVCq1eGV7TruhN95xdPclSWkqp7g0 PywKIeQV5i//eq5wfAjLDP/eTcRTqXRObjpVX82xy25Dnkot/jpVz/EfWCfVbMthDz1dGYeQShe1 KgrjM3FI5y7/18cVzGcqf0m0Xu+0AACNJlXYrlefvj2W/DxetLB5bihb8mg9NyFc8OHIUQvDwhFH bj1iybHRT79bttPOpXVco/KrdyfFHXZo74c+AAD/u+IoiupbAb3ogxm/PqfsT5fl3XTMnPfmfh0X tM+tmV6dbluYLquozi9qV3rZ3W3f+M3Mv81c5qxUlA5xdvYXFR9/lgohfDx24ZujFp09fIPTdn/3 9KcLohBHmekLF06vzlSHdNOCovWbFDZJhTiKlzRTx4CQnVI+r2Uciivm/Ls83rRpbrquIss+r28L ZjOVExdWzKmJsiFdlF/YrWlRs3Q8f0HZx9niTUsL8kIIIZo5r2xqbkm/JrmpOitHVePmVrYuKShf WLEor6Rvk5z0N7O3ul+QxRLamSGvVa+ueVPeHle2+OZ7c8e+Mz1//Z4tc0MIcc341z9dWDtu0eev jats17d9UUm3Hk3njJucatG6devWrVsVTR4x7A9PTq53UXn6B45fXlz96evjF2+hvGj8q+OqOm7S sb4e8jts3CHz8aufLW65YsIbH1fEIYT6jtfXW33jQ7qoVcdOnTp16tSxQ8uCVF7b3h3CV28tvvNg WPD2hfsdcNnYJvXP52qcFgBgTbFg7Mg3F5YMueiehxa75+KdSmpGjxw9r45lCZnpL9/zwtzuu23T IbG1BQAAsMaLavfgqP8jDiHEqezAoa1+2jJqu22rAzfN5ncoOuzAdNNUHL7ZwuO7p4SljmRmLHz8 X1Xr71zcKhVFNVPjLk1/f9e+L7512MvPbH/G7tOjqso4ql1KHIeo7gG56/W5d8TGnfPbDHvuZ2f3 zam3yNIf3xac0mm3Xrc8ddBrbx32r7/vPOxnc3NqMnFByzP/evB12y6KoiiOsnFp8c2v7nVyr1R9 lUt2HPz8bQU9dul373O7/6J7WPYqSUjqbynNNj9892YnXv7729InbNt65kvDr36v5T53bdI0hBBS Ye7ICy7qds4hfbJjHrrqkbJ+Z+++Xl5xp0P273D4Fb++Mvxmn17hg/sufuDLHW/vnB9CVd31i/v8 sPHLSYW5z1x4cdczfr5RdsyIqx6dP2jYLp1yi9vVWTO3YMihA4ZffM7/dTrn8E3zPn702qfmhLwQ Qm7Huo/X11t9dZaTbrXVkdtfd8awi39y7uGbFYx/5NK/L9z0hh6tN65nPueu3LQAAGuouPrrTz/8 IHy7BUdI5bXq0XnKyFEL2+515JC+GxQuPtzl8N1u+udTT4+et91GIcRVX3865oOoIM4smP7p2yPv HPFO84NvPahrHW8tAADgf0XtLhX1Plz7UJybt8WB6+d+/GXV9r32nTnh1dHtDt5v4TujakII8XdO T4X4m2R6ybHslPcXxTuUtsktm9mixbW39F74yMwL/5Qp6lN6wm+HnL9w9KWjchen1nEmtKtzwOzT Tlxw400l9x8568159Y1Z+q39NzF4HOf36XPVmS0+vHPG/WOzJRs3PfGULYaO+eqBL6tf/nd22K5x 4ZtxRagu7d9lg9nlt06sqa9yHIf87hue87PotfvmvjFzyVNb0dQ1TFIBdKpp/zPuurrJJTddcfKd C5t2HTT0+jtP6FccwqIQUk0Hn3V002cvO/WGsqY9t/31bb8/sFNuCLkbnnTH8IJLr731d0/MyW2/ +T4XDz9tk+IVbJ5R8APHLyu/6xHn/XzWvZedcn156UZDzr7znD3a5YSQU0/N9ntddUfFFZfd8/sT bm+24c7HXXbcE5d+HkLIqed4vb3VN35Z6ZbbXXjnRddfcuv5x15f3aLXzr/745lblKTTdc/n8v+/ aNi0AAA/unjRm1ee8uYyh0r2vO6CmjcXdB6635L0OYRQ2Gu/PTs+8tDI98s3DCFe+Orlp7waQggh 3aLbplv+8ubTDh/QzM98AAD+l9Wu5K334TiOQ4hrd5qIo8VfxXEc4jiOotr/We70OEqHxSujv32z XTW/OirIL0hl19+/Z8e3Xz/ohknz4hBG5X5Vuu8tBxSXvhHFobZYvQMWZKI4xFEmG2Wz3esZU7Z0 44sLRmFR5pHrPn/h2RmzqxdkRhf0O2D79k3jOMpM+Gd59bAOPfPnjqlauNmeLb5+8YtJldn1j667 chTHuUXZJ4dN/fuMpaPFFU1dw6TiBiyunjBhQvfu3X/QKYveu2Dv31Vf/tcrBhWv8mUBaJBV+O4N rIA/UwBrKd/AAdZGdX73jqIom82+vtuQtgUFdZ4VQgh5PZvcfmXB9cfN3ebW7rkXf/7yARucPuOz 34xuc9epC357ZvWpd3d47ReTn5m+zCk5bfKue2C9cb/6/LZPv71W08HtHz4rPveQGe2u2Pj0DePq qsXparognTtt5inHzZy7Tcd7D5lz8qkVfa+tc8DXk9sXDr+1+b2HTH9jQbTzDXWP+bJmyRXj0h07 3nvInJNPqpxS+VVNSXrAoK59+7bpN6DFJp3jV373yZVjQmhSfNb9neJh718zKfeaBzZ895QvR0zK 1ld5zpbt7//F/N8cu/CLby8RQphZVTX4uRdzcnLS6eU3bW7gT0wbBQIAAAAAa704juIVrYCOaj/X bqoRL95cI17q4HdOX/zl0sejea032SA1fdbXVbkdUvGMh98/8/GibAghRJmKLyuidlFVftPFNXPT dQ8oSEVLuq13zFJrhpc0mWk2sOf1l/XI/Kfs5dcW3P3M1ztf2aNpHMdRCAsqXxydOmPnqjZjevSY Pvf6SdEKKjeJQ1yTrc4s92RXNHUNI4AGAAAAANZ6tfcQrP/hOI5DHIWCdMjJSadT6XRIF4R0YZyK QqgMtdtzLLcHdO0+Hdny6poQQibKlmeblxy6S+HEEQunV2VbfFnTcqOK8ilzynOKQzSr5y8G/Kam /PIRlYt398hkJ9U9oCob4hDibKYimymqb0zNco2HOA65mx7es8mzbx/2x9yaUFmdU7VXQY8oqsrG eak4+uj58pyzeh6+YfOpz302pSaKQqivchTH39xvcbnZW50vxlKWX1CdtOLNL37xZftvAAAAAACr U7Q4Vq3vIw4hRHHFgttP/OSWsVVjrvn4N3cvnPvvib84bcbEykwc4vDd0+MoTuW26lrWrfvs7r0q Bu/X47oHtx1c/vWfnqqoiTKfPD53Zr8tr/9dcd+uX298wGaXH9Fy5gdVVYsvFMeh/gEhP+Tkt285 KTdVXe+Y5TuP4zgqnxWV9Cvt12FCUbv45xdss1OzvNZtpocoE0fR/A/nji3qsNP6FS+8WlUTRfH3 t1fn/CTBCmgAAAAAYK0XRVEU1b+PRJTNi/PSBVXvTqnd6HlOmBVCCGHu7JDTqU9ROl2TWX5VcCo0 zUnlbXP+HtvUViirHPvvqWffMmN0eRxCqPh46um/jU7/1cDrDsjNzFjw3CXj7xiTycYhpAtDumkq WlDfgGhG5WvjOp5w715tTxp387h6iiztm4IfDP/q6WEbXPKX3tXTFvzj7onDytc796wdDv7ok798 FYV5s//2QfefNp/9+pRs7STUd/U4XRTSNalo/rJztaKpa5gf+yaEADQ6371h9fJnCmAt5Rs4wNpo BTch/OcOg9sU5Nd/amHxkTdvdFSvVJ0PVrwz8Rdnfz0ts/o6/fHEcXZBJl159F92HfzI2F8+WZ1d lSJfV1Xv9PLrbkIIAAAAAFCH77kJYVi08N7j3hvZJq8w5zsPZbKzZ2Wqk1oCnLS4uEvlhoM3Hdp2 /s2vVWdWcS9nNyEEAAAAAKhX/N27CC4vG82evlYucl6hdJef7XD57tGrN4x/cUZ2VWPkhuyTsWIC aAAAAABgrVd7M73G7qIRROOuHb3TtQ0tYgU0AAAAAEB94iiOV3H/CUJyUyeABgAAAADWelEc/2+u gF4tIltwAAAAAADUKw6ZbDadSjV2H2uf5NLnIIAGAAAAANZ2qVSqpF3bylmzCoNdOH6wyjiUtmuf Sia7F0ADAAAAAGuxVCqVSqX6nvP710//VVmmpkVeXp510CunJo7n1tTk5+b1P/+C2mlc7ZcQQAMA AAAAa7dUKtViiy13fOzp0Tf+ceaY92sqKhu7o7VDXlFRu74b9zv51NLuPayABgAAAABYXm1ymk6n m3bqvPXlV8VxHCe5qfG6pHbVczqdTn1jtV9CAA0AAAAArPXS6XQcx6lUSgC98lJLSegSAmgAAAAA YO22JD+tDaAbt5m1S+3UCaABAAAAAFYk6SyVVZBu0MnpdBRFq6sVAAAAAADWJQ0KoIuKiqqqqlZX KwAAAAAArDmy2Ww63bBFzA05ubi4eP78+Q2pAAAAAADAmmn+/PlFRUUNqdCgALqwsDCO47Kyskwm 05A6AAAAAACsObLZbFlZ2bx581q2bNmQOg29KWQmk5k9e3ZFRYXNoAEAAAAA1g3pdLqoqKhly5Z5 eXkNqdPQABoAAAAAAOrUoC04AAAAAACgPgJoAAAAAAASIYAGAAAAACARAmgAAAAAABIhgAYAAAAA IBECaAAAAAAAEiGABgAAAAAgEQJoAAAAAAASIYAGAAAAACARAmgAAAAAABIhgAYAAAAAIBECaAAA AAAAEiGABgAAAAAgEQJoAAAAAAASIYAGAAAAACARAmgAAAAAABIhgAYAAAAAIBECaAAAAAAAEiGA BgAAAAAgEQJoAAAAAAASIYAGAAAAACARAmgAAAAAABIhgAYAAAAAIBENDaDj6qmv/fnsw/fcbtCA AVsO2ffYYSP+MysTQgjlL/5i6wPumFCzGnoMIZr+2GFbHfLQ1OxqqZb56t7DDrh2XFWdV5rz7l/u HPl55UoXiyu/euHqE/bZbuCALYYcdPrtb36daXB/P7iHaNa/Lj14mwFDfv+fRY3X2+p9jQAAAACA dUBug86OF4z+44mnP93y4N9ecsZGzWumvv/s7TeecuqC++894Serqb/FinvteeieGzZNNbxStvyj J/94zyeVe9X9cKbs3YfvfLvlgXv3KFypi1WOG37KeU93OOb8W7ZtPfXZqy8947xWj916YMechrT4 Q3uIZr1x1zMLdr/6rlM3KWrE3lbfawQAAAAA66rq6urJkyeXl5dns2v0Us6cnJxmzZp16tSpsLCw IXUaFkBXjH3omel9zrzzjP3apkMIvTfevE/xl/sNHzHuiIt6NqjwctIl/Q79Zb8Gl6kad/2hRz84 MQohtG14UyGEUDX+ry/M7nfWXSfv3jYdQo8z//2PU59+e/b++7f9Mbc2iWsWVue07tu3S2ne0unv j9zbanqNAAAAAGCdVV1d/fHHH7dr165Lly55eXmN1UZ5efn3jslms9XV1Z9++umGG26Yn5+/ytdq WBgZx1EUL5xdvmSjjZx2u1x4yxVDu9U2FFd8/sT/Hb7rVgMG7jD0/574YvGeF9XTXrnx1AOHbDHg pzsddNrNr82oCSEz8Z6DBu0z/LPqEEL1x3/ca8CA/W4dXx1CqBp33R6Dfv7AxKlPHbn1IQ9NzYby F3+x7REj3nj0omP32WbAoB0PueDJxWXjyi+fvfTYPQcPGrz3Cdf87fkLdt/vhk+ql2s3v/sR1z/8 yMO3n9qz7qdd8+Vdhxx8+6TqD87baec/fFBRZ6vLilLN+u4wpE/z2nq5JW2apDLVmXj5YXXWyU59 6JCtDntselRbacbjh2996CPTKpfv4XvqZKc9csS+142vGnfx7tud9c7SW3CsZG9R+ZgHzztij60H DNhyt6OGPTJufhRCqHuel52fRXOfO3bbo59474nzDx7ys5s/rZj5zWtUX8140fgn/3DMHlsPGDBg 231OufGVmQ3fEQQAAAAA1iKTJ09u27Ztu3btGjF9Xkk5OTlfffXV2LFjJ0+e3JA6DQugi/sO3bvD l7cM3ePoC29/8tVx0xdF6WbdNx+4UYucEEKonvTAtaN6nnLT/XdcsFv0/NVXv1YWh3jhe9ce+7vH anY8a/g9N5+x7aK/nH7cDWMW5bbfYsvWM0d9OCcK0Zz/vjcjhMlvj5sXhezsMf+e3X7woLZLL9Su +uSeq99c7/hrHxxx5d7Rc1de+cqcOERlr1183LA32hx6+Z+Hnzl4xvCL/vZ19N12U4Wt1+vWvdv6 7Yrqftp56x/94IjjOuf3+8Pzz53fr7DOVpc9o6jPyddcdliP/BDXzJ8+7rl7//p11+0HtF52k4u6 n3J9U7psD0XfWyenw0H3PPGbHvm9z3/2pSsGFv/A3kL1hPtOPunO8sGn33TfXVcd2WX0NSed/9zM qJ55zv1Ob9Wf33fxY9EOJ52yc4e876tZ/emff3vZay1/NuzWP9/4m5/OfOD/rniz/DtxOAAAAACs u+bNm9eqVavG7mKxid/nkUce+eSTT1ZmufQKNGwLjlSzgWc9OGLA44/99aWnrvrr7TUhv9OgA074 3Sl79CgOIYT0Jqeed8RWbdOh57GHP/r0vV+VZUL6vfv/Nm/QefefvGvrdAi9L6ses991D4095fK+ 2/YvfuqVTxfs33TCm9O67PLTBW+9Pr5i796fvD6pZMDgLgVh3LcXjeLOR59z1Fbt0qHHkUf2efTP X5Zlouxr976c3vvGCw4b2CSEjf8vNfbt08fV1/SKpNO5OamQysnJSafm191qv0HF3zmt4v0/7HX8 yHkhrH/EHYd0X249en11+q9EDytTZ1BBTjqVCt8ZvzK9VX788MNTBv3f8BN2KE2F0LtXy2kHHP/Y 27N327ugznkOLZfrLVNRcug1lxzcMSeEaOb31Nxx9oQ5BRvuuu+QAa3S/Xt17jx4Roc1/Z95AAAA AGB1iqJozV/7vLRFixY1cK/qhgXQIYR0Sa+djjlvp2NCtGjqB/987N4777/wmOmFT101MIS8dhv3 qt0AIpVXWLs9cc3sTyfWdN7vm30h0i36Dmxf+eJnczIDN9ixb7ji9S/L27zzedEWZ+0z9c0/vTOp vPiNz3L7De1ZFJbeiiKvTd/FZdN5RXmpEEJcPe3DSWH9n29QGw2nmvb66Xo5qxRAL6XeVgcVf2fS Cnv/8t6HD/zq/Sevv/rX53Z75IZ92ud8f53+P2z1ef39dFjheSvqLSofP+7rBR+du/vgnNrsOqqq quk0eV4mtK1znr9TPK/9gE2WW1Sdra9mUd8jfrbeqeftvtdfdtxh8OC0jUbTAAAaHElEQVTtd9qx f5cidywEAAAAgHVZgwLoqk/vvuiecNSFx/ykIIR0ccfN9jltk592PXbPK5/5aNHAEFKLc8tlLB9i pkOIoyikmvUZ0n3BA//+qNt789c/bqONv+4856nRHzX5oGKDYzZqEpYJoENeYf5yZeMoE8Xh24Op VJ2LgX+gelpdSrRoykefLezQp1fLlp17tOzco1vBBy+d/NToeXvv3jL1/XWWCaCjmsqa79mQ4vv7 +cG9RXGc027ojXcc/e3S6FROcWl+WBTqmufvSOV/9yWur2Y6t/9vHvjnAe+9+q/X3nh1+CnD/7jd RQ9cuWf75fYEAQAAAADWHQ3aAzqdW/PxC488NW7ht9FoVLWgKhSWFtUTK+a16tU1b8rb48oW33lv 7th3puev37Nlbki33GyHTtNfGPnc5PZbbVDSqt8WrSb9feQ/Z3TecZPm399jQfs+HeMvR31em1PH C8a/81WDb3BXf6vfima/dNEvfvfA+MV3O4wzixbWpPPz0itfJ1NZU3uDvoUTRk9b/qaJP7ifpa1M b+mSbj2azhk3OdWidevWrVu3Kpo8YtgfnpzcoDX1OfXUzM585bar7/m4ZPM9jjz90j8//ucDc157 9D9z683PAQAAAIC1X4NWQOd13e+E7R78/UnHLDjxsO037FBcNf3D5+788xcbnfyHPkXh9TpPabb5 4bs3O/Hy39+WPmHb1jNfGn71ey33uWuTpiGE3PaDtiy56cH/tvn5Wa1y8ptv0Sfc+8L4zscNbJMT wvfFlOm22x2+9Q3nXfCHnuce0jd8+NB1by8ITVZpDXQqhFS2fOJXM8qL29bb6hK57bfZs+dNt178 x66n7b5BwdfvjLjqlfwh121essyl63vKOVHn9qnPH3/w5YGH9Zg/6s4bRlem2y/fQ7uSbxch1zt1 defFK9VbcZ9D9u9w+BW/vjL8Zp9e4YP7Ln7gyx1v75wfQtVKzE89Q+qpma5JjX9m+MiyovOGblIw /Z3HXpvTYnCX4nQ09z8P3P168T4n/6xnwYpfGgAAAABgbdOwPaBz2u56yX25d9/2yPO3DRs+s6Kg xXob73DG8JMO7FkQ6rk1Yqpp/zPuurrJJTddcfKdC5t2HTT0+jtP6Fe7dXN+1237lzz4z15bdCkI IeoxeIPUC18N2rpzft2FlpVuvdPFt5dfdcntZx5f3XHwkb/8xZTfP1rH/h/fL7fdFkP6Pnb7sSfM u+eRM+ptdYm89Q+59sr519x95zmPTl3UrPNmuw279ZeDWy67ZLvep1yyxW/P3/fca88/7MnSntse cebZC86/77s99C1ciamr08r0Fgo2POmO4QWXXnvr756Yk9t+830uHn7aJsUrmLelenv4uHrG1F0z FbY+54rjL77mttOPWRAVteu367k3/qZfccjOGvfsiAeab3acABoAAADgf0xc8/X7z4547KUxX86u yGnatvvmuxw8dNfezXPCgrcv/uXDfS+96oBODb6D3VorO+3p866Ye8LVR/f4Jh+Nq6b8667hj7wx vrxJ9y1/dvLxO61XmFrR8TVEKo6/Z+fhtUL11Fee+U/T7ffs3yonhFD90R8POH7cac/etkuLNWmu AQAAAIDF4kUf3XvOH/5VusvhB2zZrVlm1sevPv7w66n9Lr34wPVr1tkA+t133+3fv//3DssumPDP m/9w5xfbXX7jNwF0PH/0Tb+5/MPeR5ywa8ev/3nHPR/0OvOG0weWpOo7vsL65eXlIYSJEyeuuI37 7rsvhDB06NCV6bk+68hLmKqZ+OTl94+quPq3O3eq+O9j1zxe1u+sTUulzwAAAACwZqoa/9wrs3sc NezIHVqmQwg9em7Yo3Dq6Y/8/Yu9Tu7c2L01purP7zvrvGenxiGElt8ejcs/GPlWZuDvTtyrf9NU 6J73+amXP/XvOf2HtJxf9/FWDbr33+q0xjTSMHldh151yR6LHjxtn112P+aKUR1OGX7Fnm3XkecG AAAAAOueOERxXFG2MPPNgZyWW5103q9361i7ZDaunPTizeefctShhx1/9s0vTamuHVMz692HLv/d CUccesSJZ1758OjZmRCy00aeefivH/6qJoRQ88WDpx166OmPTqoJIVRPuP+Xh5391xlL3UEtLn9j 2LEXvPjRS38684QzHp5Ys2oFM5WTXrr9gl8efeihhx7768tGvDsnG0II2WnPnHnooZe8u6iB85LX ee+zr7vu2osOWW/peLN66piv4vW37Fl747ui7lv0TE/+YGpVvcfXHOtMSJvfccjpw0e++p///OfV v953ySH9SteZZwYAAAAA657Cnrtt23rqo2f/8oJbHn/pvc9nVUbp4k4b9elWkhNCCDUz/nbfmPUO PvuSC07cOnrznntHz49DXPHR/Rde+4+aQUefe/G5R25e+dzVF434rDKn1cabNJ8z5rN5UYjmff7R 7BBmfDhhQRyy8z7977zWm/ZtmbPsdWsmPXv7P6JBB/38p21yVqlgs8lPXHPne6U7n/T7C88+vN+c v9189/sL4hBSTbpvt/ueP22X18B5SRW06NCpc+eOrQqW3t+humzGwoJWLRYfS+WVti6umj2nMq7v +Mpfb9SoUf2WNWrUqAY+h6WtI1twAABAnWpvebJu3PgkCalUaslnAIAfVaq4z9GXX97nn/989Z2X 73nt8UzIa9t3yIFHHDy4S2EIIaR7DT1uz01apsN6++35j389M21+NqQ/fva1BX2Pv/SgrZqnQ+j+ q5rPTn/g7+MPPq3n5hsVvfTuxIodiyd/MKv9lv0Wjhk9qXLb7l++P6NJ783aLx8IZ6ua7P7bU3dp kxPCwtGrUjBVNqU8v9tW2w3q3Ty9Ude2bTed0yYvhJAu6bPXEX0Smqw4U51J5TfJ/+ZdWzq/aX6q pjKTred4FEJOfbWWs+WWW952220nnnhi7Ze33XbblltuuRpbF0ADALBuqg2da2pq5s6dW1FREUVR Y3e0xkmn00VFRc2bN8/Pzw9iaADgx5du0nWLfY/bYt8QVX796dv/eObJv95y4az860/vE0Juy57r Navd4yC3ICcVQgiZsi+nZ9ru0GPx4XRJzz6tqt75al62z3qDeoS7R09Z2PK/kwv6Hr3d1x/8Zez0 hYXvf5Wzwa7rFSx/0dzWvXs1z2lAwcJ4z53aX37Tqac9N2jg5psN2GJQ73YFSb+PSuXm58bVC6u/ WVYRVS+oinPzc3PqOf7DdodYkkGv9vQ5CKABAFiH1dTUTJs2rbS0tHXr1jk5K7sG5AeZMGFC+/bt k6i8xPTp07t3755E5Ww2O3/+/OnTp3fo0CEvr6G/LAoA8INUT3z6tpFh7xP3XT8/hHRhmw23O7TX xh2H/eruV7+o6BNCKrcwr65Ud+ljqXQqxFEcUsU9tui86K//ndD5o4Wd9u+2wdx25S9/MqHo08r1 9u1W9N0Ky1b+4QVTqd6HXXrbjh+/95/33n/vkcsefrD/yZf+epvWibzbXCK/efsm1dPLquNQmAoh ZBbMqSxo3bowVd/xH1q/NoNe7elzWIf2gAYAgG/FcRzH8dy5c0tLS5s3b55Q+ry2y8nJad68eWlp 6dy5c2tnrLE7AgD+h6RzMl+MeuHlCRXfvgWJaxZVh/ymhfW8dctt3rV97swPP59fe0ZUPv7DWXkd 1yvJCenSnwxsM+utV96Y2brfek1KN+hbOv31V96a3W5Qr2YrSmJXrWB2zruP3fvMl003Grz34b+8 8NoLd8oZ/Y9x85N+I5Xfsd96qYnvTKi9xWHV5NFfRl0261RQ7/FVkET6HATQAACsq+I4rqioaNas WWM3sqZr1qxZRUWF9BkA+JHldtjhwP6V/7j0guFP/evt98eO+fe/Hv/T5Q9O6bbXXt3ri0+LN9xz 6+IP7/rTY6M+/vyjNx6+6Z6PS7fbo1dxCCGndd9Nmk4a9XneTzYozclrt3GPMGHUpNLN+7RY8TKE VSqYzg+TXnn4lnuff3/85+Peev7v781r1rV9YSpE5f999v4H/zm5ZnXPVAghhFTJpvttlfvWHfe9 8umkz167b/g/qgfuN6BFut7jaw5bcAAAsA6qXc8bRZG1z98rJycniqLaGbMNNADw48lpudUvL8l9 6rEXRj126yNzqvJLOvQceNT5Bw3pkh8W1H1Gqrj3URedXnzHX+6+9MmKog59djvzwgN7FYYQQsjr sHnvJn97q2vf9vkhxJ03Wy81alqfTdp+zyZjq1aw6abH/Hr/2+997OoLFsUFrXptddzZh21QGEJ2 4YRX/v7X0t7779Q5ib3NUk36HXPuUXfe9Zc/nDG/afeBR5x3fP9mqRUcX2OkrHQAAGDdE0VRNpud NGlSQrsnL7FW7wG9xIQJE7p06ZKTk5NOr0mrZQAA1jnvvvtu//79G7uLUF5eHkKYOHHiiofdd999 IYShQ4c2pGfvLwEAAAAASIQAGgAAAACARAigAQAAAABIhAAaAAB+PFH5f/828j+zM43dBwAA/CgE 0AAA8COJqueMf2/sHOkzAAD/M3IbuwEAAPhfkJn93t+eG1cehxCKG7sXAAAaSTqdrqmpycvLa+xG VlZxcXFOTk5DKgigAQDgR5BbutH2e/eIKia//s9PGrsXAAAaSUlJyezZs9u3b9/YjYQXXnjh7bff /t5hP/nJT0pKShpyIVtwAABACCGEqGrevKo4hJBdOHfh6t8mI7eopKS0tLQ4N7XaSy8WVcwprwkh xFVl86qipK4CAMCq69Sp08yZM6dPn15TU9OIbaxM+lxcXLzZZpv17t27U6dODbmWFdAAABBCZu5H Lz//Uevd9tlo9vsv/Ovrvgfs3n2te6ucLRvz1zdyf7rbFs0nvPj8rA132aF3y7XmdzsBAP43FBYW brjhhpMnT54+fXo2m22sNrp169atW7cVj8nJySkpKenUqVNBQUFDrrXWvasGAIDVLjP9zef/Wzho 141zP3/uX9M67bBzt8LGbmkV5HXYepfe//rH8x/ssvfOg955/vnXmv9sx44iaACANUt+fn737t0b u4sfjy04AAAgpNIhU12diVLpdFxTXZONG7uhVRJna6qqo5zcVJyprsqkctOJ7fYBAAArRwANAAC5 7bbcc1Def18eW9Vtp102mPfmK19UNHZLq6Bm6puvTGq3/W594w9f/m/eoD23bu/3HQEAaGTekgIA QAg5zbpvs2+7RXFOft7Gu+y3ftXauHNFTuuB++zZrCgnrt5w132bNEnubocAALCyBNAAABBCCCGV 26RJCCGEdGGzokbuZZWkC2r7TuU3bdLYvQAAQAhBAA0AAD+iVGG33Q79nvuNAwDAusMe0AAAAAAA JEIADQAAAABAIgTQAAAAAAAkQgANAAAAAEAiBNAAAAAAACRCAA0AwDornU5ns9nG7mJNl81m02l/ LwAAIBHeaAIAsG5KpVKFhYXz589v7EbWdPPnzy8sLEylUo3dCAAA6yABNAAA66BUKpVKpUpLS+fN m1dWVmYddJ2y2WxZWdm8efNKS0trZ6yxOwIAYF2TiuO4sXsAAIDVLI7jOI6z2Wwmk5k3b15lZWUU RY3d1BonnU4XFhaWlJTk5+en02kZNAAAq50AGgCAdVMcx1EULfnsfe931SbOtdFz7efG7ggAgHVN bmM3AAAASUmn03Ecp1IpAXSdUktp7F4AAFg3WQENAMC6rPbtrje99amNngXQAAAkRAANAAAAAEAi 0o3dAAAAAAAA6yYBNAAAAAAAiRBAAwAAAACQCAE0AAAAAACJEEADAAAAAJAIATQAAAAAAIkQQAMA AAAAkAgBNAAAAAAAiRBAAwAAAACQCAE0AAAAAACJEEADAAAAAJAIATQAAAAAAIkQQAMAAAAAkAgB NAAAAAAAiRBAAwAAAACQCAE0AAAAAACJEEADAAAAAJAIATQAAAAAAIkQQAMAAAAAkAgBNAAAAAAA iRBAAwAAAACQCAE0AAAAAACJEEADAAAAAJAIATQAAAAAAIkQQAMAAAAAkAgBNAAAAAAAiRBAAwAA AACQCAE0AAAAAACJEEADAAAAAJAIATQAAAAAAIkQQAMAAAAAkAgBNAAAAAAAiRBAAwAAAACQCAE0 AAAAAACJEEADAAAAAJAIATQAAAAAAIkQQAMAAAAAkAgBNAAAAAAAiRBAAwAAAACQCAE0AAAAAACJ EEADAAAAAJAIATQAAAAAAIkQQAMAAAAAkAgBNAAAAAAAiRBAAwAAAACQCAE0AAAAAACJEEADAAAA AJAIATQAAAAAAIkQQAMAAAAAkAgBNAAAAAAAiRBAAwAAAACQCAE0AAAAAACJEEADAAAAAJAIATQA AAAAAIkQQAMAAAAAkAgBNAAAAAAAiRBAAwAAAACQCAE0AAAAAACJEEADAAAAAJAIATQAAAAAAIkQ QAMAAAAAkAgBNAAAAAAAiRBAAwAAAACQCAE0AAAAAACJEEADAAAAAJAIATQAAAAAAIkQQAMAAAAA kAgBNAAAAAAAiRBAAwAAAACQCAE0AAAAAACJEEADAAAAAJAIATQAAAAAAIkQQAMAAAAAkAgBNAAA AAAAiRBAAwAAAACQCAE0AAAAAACJEEADAAAAAJAIATQAAAAAAIkQQAMAAAAAkAgBNAAAAAAAiRBA AwAAAACQCAE0AAAAAACJEEADAAAAAJAIATQAAAAAAIkQQAMAAAAAkAgBNAAAAAAAiRBAAwAAAACQ CAE0AAAAAACJEEADAAAAAJAIATQAAAAAAIkQQAMAAAAAkAgBNAAAAAAAiRBAAwAAAACQCAE0AAAA AACJEEADAAAAAJAIATQAAAAAAIkQQAMAAAAAkAgBNAAAAAAAiRBAAwAAAACQCAE0AAAAAACJEEAD AAAAAJAIATQAAAAAAIkQQAMAAAAAkAgBNAAAAAAAiRBAAwAAAACQCAE0AAAAAACJEEADAAAAAJAI ATQAAAAAAIkQQAMAAAAAkAgBNAAAAAAAiRBAAwAAAACQCAE0AAAAAACJEEADAAAAAJAIATQAAAAA AIkQQAMAAAAAkAgBNAAAAAAAiRBAAwAAAACQCAE0AAAAAACJEEADAAAAAJAIATQAAAAAAIkQQAMA AAAAkAgBNAAAAAAAiRBAAwAAAACQCAE0AAAAAACJEEADAAAAAJAIATQAAAAAAIkQQAMAAAAAkAgB NAAAAAAAiRBAAwAAAACQCAE0AAAAAACJEEADAAAAAJAIATQAAAAAAIkQQAMAAAAAkAgBNAAAAAAA iRBAAwAAAACQCAE0AAAAAACJEEADAAAAAJAIATQAAAAAAIkQQAMAAAAAkAgBNAAAAAAAiRBAAwAA AACQCAE0AAAAAACJEEADAAAAAJAIATQAAAAAAIkQQAMAAAAAkAgBNAAAAAAAiRBAAwAAAACQCAE0 AAAAAACJEEADAAAAAJAIATQAAAAAAIkQQAMAAAAAkAgBNAAAAAAAiRBAAwAAAACQCAE0AAAAAACJ EEADAAAAAJAIATQAAAAAAIkQQAMAAAAAkAgBNAAAAAAAiRBAAwAAAACQCAE0AAAAAACJEEADAAAA AJAIATQAAAAAAIkQQAMAAAAAkAgBNAAAAAAAiRBAAwAAAACQCAE0AAAAAACJEEADAAAAAJAIATQA AAAAAIkQQAMAAAAAkAgBNAAAAAAAiRBAAwAAAACQCAE0AAAAAACJEEADAAAAAJAIATQAAAAAAIkQ QAMAAAAAkAgBNAAAAAAAiRBAAwAAAACQCAE0AAAAAACJEEADAAAAAJAIATQAAAAAAIkQQAMAAAAA kAgBNAAAAAAAiRBAAwAAAACQCAE0AAAAAACJEEADAAAAAJAIATQAAAAAAIkQQAMAAAAAkAgBNAAA AAAAiRBAAwAAwP+3Y8cCAAAAAIP8rUexrzACABYCGgAAAACAhYAGAAAAAGAhoAEAAAAAWAhoAAAA AAAWAhoAAAAAgIWABgAAAABgIaABAAAAAFgIaAAAAAAAFgIaAAAAAICFgAYAAAAAYCGgAQAAAABY CGgAAAAAABYCGgAAAACAhYAGAAAAAGAhoAEAAAAAWAhoAAAAAAAWAhoAAAAAgIWABgAAAABgIaAB AAAAAFgIaAAAAAAAFgIaAAAAAICFgAYAAAAAYCGgAQAAAABYCGgAAAAAABYCGgAAAACAhYAGAAAA AGAhoAEAAAAAWAhoAAAAAAAWAhoAAAAAgIWABgAAAABgIaABAAAAAFgIaAAAAAAAFgIaAAAAAICF gAYAAAAAYCGgAQAAAABYCGgAAAAAABYCGgAAAACAhYAGAAAAAGAhoAEAAAAAWAhoAAAAAAAWAhoA AAAAgIWABgAAAABgIaABAAAAAFgIaAAAAAAAFgIaAAAAAICFgAYAAAAAYCGgAQAAAABYCGgAAAAA ABYCGgAAAACAhYAGAAAAAGAhoAEAAAAAWAhoAAAAAAAWAhoAAAAAgIWABgAAAABgIaABAAAAAFgI aAAAAAAAFgIaAAAAAICFgAYAAAAAYCGgAQAAAABYCGgAAAAAABYCGgAAAACAhYAGAAAAAGAhoAEA AAAAWAhoAAAAAAAWAhoAAAAAgIWABgAAAABgIaABAAAAAFgIaAAAAAAAFgIaAAAAAICFgAYAAAAA YCGgAQAAAABYCGgAAAAAABYCGgAAAACAhYAGAAAAAGAhoAEAAAAAWAhoAAAAAAAWAhoAAAAAgIWA BgAAAABgIaABAAAAAFgIaAAAAAAAFgIaAAAAAICFgAYAAAAAYCGgAQAAAABYCGgAAAAAABYCGgAA AACAhYAGAAAAAGAhoAEAAAAAWAhoAAAAAAAWAhoAAAAAgIWABgAAAABgIaABAAAAAFgIaAAAAAAA FgIaAAAAAICFgAYAAAAAYCGgAQAAAABYCGgAAAAAABYCGgAAAACAhYAGAAAAAGAhoAEAAAAAWAho AAAAAAAWAWPmHtyTYYboAAAAAElFTkSuQmCC --001a113fc8d47b939e051bd5d569 Content-Type: image/png; name="ImportLayer_NotWorking.png" Content-Disposition: attachment; filename="ImportLayer_NotWorking.png" Content-Transfer-Encoding: base64 X-Attachment-Id: f_iclk44q81 iVBORw0KGgoAAAANSUhEUgAAB4AAAAO6CAIAAADxbt1JAAAAA3NCSVQICAjb4U/gAAAgAElEQVR4 nOy9d7xlRZU/+l21z7mpb9+OpG6gyTlnBEQUEFBhQGXISfIIklrF7GAc/IkCgo4ERwVF0dExDOqA SpKgbSAHm9hNaGi76XjvPbvW+6PWWrVqn3PReZ/3/nmftz8dzjl776pVK3xXqNq1adftNg2BKASi AEJdxxgjM8cYQWi1QqgQEYlBRBxDHTlGjpHBzAyAqxBCICJUVSAiIorMdR3BDICIiEKsY6eOBISK KIACmJkZHMHgEAIFqkIFZo5Ud+pYxxi5qipmJiIiEBEFAsDMMXIgtFtVq6qYUXOs68iIIVBVhXQB MxHAAEdm5kAUqooIAGKMzAAAAgDmiNRFADOBmUAhIDGE6xgoDSwggEARPD7eqTt1ZCaAAlVVoiQy QNoogMhMYKpC1aoi0OnEyBwCVSHEOoIRAlWtFnOMMRHkG2AwAoUqEJhjrEHEAMc6EcOEGJnBgULV qkJVgYiZKqqqqgWAwHXdGR8fY64BRAZAnETLiVggsRdgIIRQVQFEIv1ECoGImKhqVVWrIqLIEcwc 68RYIhBVMd3CTEArVFXVijGOj40BHEIVqgoyPBkdwQTBFEKgEEIIrVZVVYECR8RYj/MoAzHGulPX dadT11lwEYhgIIDAIAJHDhVRoJBEmdQVAIUOc6zr1GMgUAARQkXtvqqOdd1hgKoQ6k4cH68DhcHB wU6nM7p6jFnoTJwigEjaB4jSdxCACGZQEjqIwKKnDCTjqihQ4E6sW+0wMDhARONjY53xTuygCiGx hJnrOhIIyTiYY1JS6dH0I7GOxf4g4kNihIotBFStkHgCRlLNZB2d8RpRRsYqEyKAOJmyGFsIrHqi BBARmMGRx8bqznjMFCgZMekOs5c0AYoSlPgUk5GCK6KqCoGCDpCT7BIbYN0ShRBCFZIEGMTKJRk9 1KJZ+ZW6iLGONTOzHwRRoJCuTqSTHgW79WCRt3RlEqpjjFzXsY51zQkNEpQoT0NSSBCYaq7rWNdR sLQKFEIVQjAWMQwEQOlmGSYS6HKMSN9NKTndVTCKBIZVwjIGIqKqCq1WqwrtECpG3anrTl3HWMdY A3UimUDMpJzlkAYRRNVFYYLxC8xAgoHEGDJLCYL1BAbqWHdihzuRmcHEHJFOODazNpS+kIhG+AGz Ao7ipRgBRKAE0QyOiHXdSSeRlDhUVfJMoAhmxMTuigIhMCf6OTJHjgDceEWjDDI5QR5znRQqKUPI 6klETGKJFYUqcQCULuUo96QeYZ/VlULVjNPf5CETSIJFs/SD4BwxmyWoP0ocgbCMOHWc3DHbz0jj TU3pcEWqVWhVVFWhClQxYkSsuQOOjChqyiAKCV+S8TI4aalTzuTepWuDUwCghA96Hdg0lUAUqhAq CslCKRmA8B8M5pD0wbRe3ErIqgNtGMZasTJ3iFwyJXJFcvakEC/sUts0tCsUF0hgqHJUTGWxa6El j9juxQQHFfRS+bXXxfkjURqaEs1udJwdBdT1/93DOW0wsUKVmoCRa6Bj8ZWPtPQibVX0wkRJBP5H qIFFSaSuwsOzt6zMGHY/Cmnq3RNvVRm6xu0IM/lpm/4wWC7H8fojMgGUHYvwHNLbuIX7TUILLXbt cL6kiyAqfp/oxv/lwYKZZS8wmQn5Pbo1QCg8sMGCF7myh1nESCZ2d5eZf6+xaCvZuacWybXj7zOI 7nZaXVrLEgYWo5SI1N3pNJKdkWqAqUOF6rYEil4JjblMWf8SzOuAoJxKd4lyKkMdiRKDsNyWSKKU grnQKkNhgWQOBZB9XL7CICCNRsciQ/YNOKqNHEgAp6JKIa5ZetSQLLVNOZzq1rOm8Vo8nzxhICJo 1GZu3o+UC1CLkJAXqmpiiurKHb+YXEBjvGfmyNF3oIQZ8fbRsZ8LmzdCUUqo+MWNgFy+Uh4uAlGG u9A0B2G+NXVXpNeUrrdAE22kB1h5On37xVUZlOGYmInOX1RVsjWR3WB6zmoLBHBK5RigoHF0Cv/q mIoMrk3FFzMn7SfTZHzJuSRb/72H3f3d4XqDZTTBHfkCEijOQil1oRdw9W4pj6r0M/kO1aiEHZEj xzqCIyAZHxgUxMiqKlREFSGA67oeHa/HIzNSqQWA+jnOfRMhBApV1Wq1WlVFhFQ5AJhjHesU8wfK 4bvFP9GiZJfqqYGzy/4MLUndiqqxOZ+M2zkFh8TcQVMvImauY2d0dLzTqSMXdtHNxKRqKfUIqUKR sstUCFNTD6EKgVjTjYCgNpDRjyHRMhgOVRhalmgoiCBdliPbRYa9KuoeDVg2qvlJdlvZTUuBS51Q ihBkUGqMkQ00SFP0fIHpoOI8NyNwbqh1oiDVEzQ9UsYb8wsHbLdmzZFGfDBDOSe15Jslh+GclqlH 4eizPVEWhxu5uxJYNP1Wq7OUPtmWaqBdkANgLzPx2+UJd4Evs2gLhRtSF1aCAuUgpPzZOvUu3Aiw D9obUWglhmm6BSYgSAEi+UtJcwGOiMx1TGmgMMiHiinNJSKkugBR4nLk2ImRp21Sb3UM/jdHfN2z o/+rtv7/4/9bR+vR77aWzLfyDYMjBLUBBKIWpVpboBhrQOrjgUJFRLHVCiEgRqtrCehVrSoEqus6 l0vURBPsI7knuLBcU5KGoTKIgcigyKFKBReKEWmyJBXTmbmOTKxIxdaYB8IcJyoCWScEhzYWc9u1 qbTExBSZArXboa5jZ1zDECZmQmQQInMkDoFDAIFDRcSc5kUCmUdLmJBmCFLFxWphgIEXaR4ATXaC rx6mU8L5oHMGCug5KmaHquQgO4UDLjfIrCh4Z55RT5ub7RVIlQwtI8BmzqmXkuQqDBJ2GHk2kQCk 2joTEEDmOLPDE8h0DFQR5mRQfVxyz0VgrxVoa5cZFKJ5JQnn2EIQCakjYox15DpKjEhIrpOyUlm4 JiU/QEKfEKpQUZo1YasGs3GPGZGYwAROYyaAmGpOkyGln0ymFFIvxmOGDypKV0fNYpXGLZzFm2NN 1QT1T5Kgs1YPWFMol6ek8bqCVRqhBVFJtASCRp1MqisSpVioIiEPldGdUGmlBzYN1bCXJXHxii+B eNBciqPMJeYAUM6SYQWRBgwyLAIIVQiwyR4faqcrCMxcUwRiVxmL3f9k0jKMgIWJ0OhPFZVyRstl pY5Io0hmjlxTHUEEJs7xWrItwzmGTjOTaC8DpIy2dhu1GuM+F9/KK5Rbmlt3xaXFkaJasvKVBZR+ hFyYuu+4aNwfriln4XAFJrvR3U1+uAYpDJQFsKaFvc5hfsnrgQCdD3bLaxyDswvrOqfVZxSBfu62 wR3SYDrHtU32eQXIqstFG8hMbAjVh8k5A8olSs56q90UmNx0Lt1uxm7zilJe5WlyMFSGF+SHrGFC syuZcjLTbtDZ8HZN19eD6gnPwuzTI07+ydE0UQNZTRRLmQtuuXjAWjJVzNVTIeZ16IVeA9PAciDi Nnu1kcfq9Jq8ocHxyqkql6Vhz9KcCjaZo0Ms1YSb16n1Zd3WdqWK42YFskbnHF84K97bDZysRTdi 329yng1zJLg8PwOkmSr1wp70IxXDNCtxxQiC+n9xy2ROJt2VyxFCVgMiMsFGNKtBCRP9vBbU5s3R agBQMiG3B5BHYRfgJW1LVmlDEx8sQzCf5lCTrVH2Wt9LwxsYTeWw7XPzVmp80fk5X9qZ0FuwU+ce 04gWJYilTNBGpjA78YZPFlXoMXBWsRnsZJqy5yw6U8ejRuA5J5e9HoiUMSg35pvcVR78yDq2sRpl XlD6VZrV0RUXdJHb7LkxIB98WINFU71bcrN/xlPqDgig9AIApTpo5AKVlRcsRtBI4RJF2dQUFV3S xKnRwKT2Q6ItOi4xZ9WUzEzvN8gQKwvNA7jZmUIoayiummIRLoOICSEwXLeWQigElaz1HocQKMgy NaVK1nnmxIookNRpkUFW52rFuXdLjV1nE5mN3p4vpCJwKh2b++CzVImMyvOAE79XFWVObiGAmUhl nTJJYj+vmsUpxptnDLoMw6TFngGZ6EZtPV1UEv96hwdSSNZsPkVkYXlWZmSPlkov1IgHIKPX4rPc wDIAKXHLgAtH7bsk/RE9VKCXG3Di01Ys+tDkUHnV8HsNtC6PjGFaMye0bLVc+qmiQMQcOYa+JQNb L+nfckVr9hhNBtDmZUOdhSOrHhpZ+QDF8WSKIZeItOyU0nzW5B8YjxFA3PIoWrYAIIarM/TiSf7R UlXKqim9ucGW4+49ag9AhRsuOV2cVT2lJHOSOQ6w8jBBz0S3926ftElukNTzKIcoRuV95evR77/6 CMqiYCYtTGUpvD79XVznf4z58oW93FMJ17rnRt3AscBZk2lbZ/Mj2/d+rk6l58hMCAykhd7MMU2q xBjBBGpXVSSqY50KyBSAINNIshJWalNoVVWeuSWroMI8VjJji56DQClxND4Wo5DqSRBXVUfudMYp UATXUlZiRHN1BTLaskdZSQkCIy1AF1zqYphMrwEsGqZWSFwFCoFijZBaTNGuruxMkz0xRg4UQmAY tKGGLkAEMceU6NV1TBASpNimOUGqeXEGpwxYlMxHSn6EtHJV1lxnEROLVRVBhSpr8ZupSKEhOREx fFThKJBnUXoWco6QGmwllWVmdBpxWowNznpCCgrk3BpzmmagANJ141JPlquTomjDrDGfRFw6A2Bj Kfwn1JqUNFVWKXhJ+Y6I00qEyIQYyZbkGuXNI1CoKIQQ7JoQQkVVoIpY1m4HiFaawsSEi0JipFSC l6WxHBEDU1GFIAacFrjSReZ6XtOZ4bmIN9QkDe2JdE2CNJPsjUAI4vGYdepdsnSIKpur1BvF7MQO vGIEwK10JrdAOSfM6bmaDGSFyqmc88gJFOGSHzKvA1khIQvSzSJU9AGB0qJ6MyjFkhTQQJSDCLJe A4HSIyUxGjMjRTBiqv6mCXtvVY4tWlnmmiPrfL/0S/KcSmKwZrKk5FjFKJcg1ZvK+vhUs9XmGokw K95TgJkQkVZ58pGzEw8pKu5sdOg+0nSMebHepTMzRSctxyhSx6toj+I0smPsduZAs2bNSpdd2XCr 0Kil6EKGrP62OwSCA/yevOim24c+PTMtkSpnNEwssKpOUZeQKI9LrO0KCBS13fdeEZQqqXfF3f7C o55Ok7kB6dVmt6K2rgaNfGrioxev0c1lt1CuOZQMAL0CIvcjK9YULeiCR+buKKs5K9FF8gQcLq7N NmDW53Oyf/ToYYcNcjV0VRaq6ssyMW9ljFzr8tWhQprlGP3psvfG6G0yzWXn1H1h09qKkVD3jItd UjCBoBNtbLrQdVGmtsAGiCBM9dmz1JV03TldWstlk3KBnnEEi1krqXBLIXMLKbDR6DCHfJ7xBoOs PpGy7DR607+yqtKCPPbjstFrI9YDGsTnO1w+lzyT6865fat7uJljLtrr8hNFnZJTxQIeQYkCo3ZD ECEmblHBIvNXWTYujBN/oRxjd6NHN9IZqYJM99lLp4dml4cPX8m7qN5Xi09wLp1MfJRFaE61gLyS GSikagIz1fMIb/zLSVZhmkTElGWa3RnrYgV3tWSDvUTtmZopVKdXXOxUvvsw2Xl33XV7vtI+FzXv 0p/6zno0q7rl78luyZolXeyksQ3BhGnegMF5YSuyE1HesZRTxELT3aEkyU9uGYlSDnZAJ0muZmGa DLGDIadOxURg1qYur5k/mcHDT8RpqsvI5XhSixWMsyyAmqpseEikj2qGkMaWHihPD/CyJhRqZQo9 HFn3HpClmmp+TEZ+ah+6uohVcl4kOSBzzkB5wtIIo4j39CrDaWdbEPxxrjHm5lSYliUBIEpr3WJD IV3Uz/6fZKtnnPHe444/CcB/fOPaa75+VUY6L3dyd+oHRXShQ/BAIFKhVQBtgsKUL/LCA20eWOl6 3I0NNSvHR+7nTGs+5WRTmL5y1ZSL8wWFXRatdy3VIFWhgkDfs5hAyCNW3hGgMVWu+/v2QeThHWCg JVlmQHq+Ox2L+7Z6Zuig0WqqZ9QoTRvtm/a3vq3bwweuveRnU1b+pXIFHUeNpKEVowqE9GRsQK07 CuQhwXwRxB1Rnh7W9lIfrAsJrYmsywXummGZxBRtWCVJ+auPQYUaQwsG6ZPC2do8sudYoJAW8jOl aaS2sgsaL3t/gR4JQ9lidsXWuwuG2AdevmtHT+aUIU2XL5FCmAFpAhcTgzwAB0l32VhiGYfXNtV/ Zy5aVSto47TviaNG27eZRs5KYkoDABxtYiJypFQzZbVapjpy5Jie+KkCBXBL6i12F1JpV+uhFCgQ MDY+FjkaMCUPqI6SU9EmBSOB9KELe64q5hlQkxNzqmgH5mRsTAjpoT1llRMDTD9UYSp5xp2AGOXx A+NqQ1eKD0wx1T0JFSEESs9DVa3AEbGDGCl5OXuwnoiCwEEGvMhphwnWnTwYBClcJS8LLWkRVYH6 WlVd13WH6/EozAsu30iqRSBdTGv18FBRX9Uytsea0647dSc6SyXDELdOR9U8uQypFNgcPStLJIUS 1BLEdPBN1rjx1gRSYjJMO60DBWcxem1FZ7C1pwzRkWPFULW1VeHmAnPrVvl0pmJkpV8JgOylJH6d LWqS7CnNNaRl/7ZvDIgQOO3JklpStpKspdWdEETWaZcepOInpx15ALhk3+qigWRbhJrZ5vPBHDmj uTAqTR8l29eCnXnDzPqiQKPdCOlRPQOZDbKyKTEvggMFQkjP2EZixMhUs6uFBRGCBCGsUSZsA460 h0cICW4DhSoEdSqUulf1yjjgowX7kMeiDpv1C0NKr5TVUh5IquDWdCfRymYaKnpKmMQaWLHqeO6Q iGQiIaGZ4JGmDXUdKaa02GUjMn8kYYpwNWp6ZtsC5RAkpxMENzLVNRDyo8DGk7y0xtyU+VkXb7Bx jREDgliZXW5JU67Swx3ZQODsm8zfUnFH4dzcr10IDN8/FRdlFWhoAxXVTM5+OqOP4adGJklBQOVC WNcE56uVmXqrmvNEd5UxSneMAwAS0wioKT06Dl+EdsVyCw4UX4AsptxmoafNwKLBn1w17hHsl2PU 0y6hFkW2yppdafl6Mhv9lj0LTNeZM3+L4ZiDKEjoeWjQ5sOvRoPsQ2wHHAVhMuhsbNaB1NM4rSmy CQ+Lupv6xwXPHU+Ln6Qjyl8K79lruF5I7Phe2Ba5zriALqdCRAr1zMgj0P8Kn00mjMJ4WV11b0IF jdiLkQtCdTiZfV1q4NXVkMb3yv73tBdZaQaGEwac3TNhdk1pPS66VGZm+MkkWnk4OR0y+OUmvmQU ApD2d8uP4Ki5a91Y6crMKpK2nvBp3bCSTRJxCji7FMo8tEpXyysFcBeo4MHEMVp0Iy0jiSm21TqK XeWrmjLfnjNtyLgVE8jY7WXFCn/lNjMJiAIoRh/h2GQcsw1bVizYfdm5qDyNAp3zK71N+lJ8kxxV 16xwcWoiISnIODtTOsUoWbtyMhewsaJYpozyHCU86DbpYCutmLKrOub0N0iFvTSTFBqJxEQz0/0N FuU7iThFuFxMbIuIKcMtWzXN91f4QfUlWmpHc56HtdxRamz3OBzgc0F1F/1u6Bo3NERaYAk5ahrn E10kCw0LKAXlAeSfhBQ1LcFJ0vAaACIjsGbtxhHH4gYSyng1L5e0WLK5mPNBcaJk/GvGAoVhuvYb ut79s3h+gDlyzZKME2JgYnmILwmVfAPWZdeAApHuvEFEacsMWRXmduXJcS+nxtMqcA4IgQIHWTQn FSsdFzFCQjEShhhEG6PSwi6jK/NDuy6W3BQOVfrwKKMug81cvB6ypqlysWbiDJArD6ZOHTXmzVlK D0QAjj7m+O2226oK1V1333fN168mu4ezlMQpwBRAlS0rnHaqGzr5q3M5v2CITxEYahcwMMoxjbdt jy9dmCoXua1Fmtac8bZkaXbozQYbkrSBOW9tFpNNoVc7rj9rmcXetX5ZLjdIgWUeLjVgTXAArfG6 JlCogmx/ROHZ4UNeGtzDx+ONY7ya+tyMY1b0bTB76c+CZuzOgYlfTGuoqkBVCHWM+vRAdvfum1Td dWmJeh/hn9YysyuTe7n0lYIFfqDZQ3n22leyUMdpiJaukm14GZKugiYnh+wBzYsR58iAgaBP4TtV 8EROzGq7ApClhvkH0adEjIat6lfd4FmJVHJTqcRqNzLShEI5+Vf+cMk97wmQuV12mLhWxJdMDvZM lNycXzKJQ+tgeSlleXAkheW0i/Kri5e+tnxlZlfBO0DZnIBixvRJa605Rf2H0BxkNWCsQoipJgMb pM5agGyJAUHKc0QcQJGjo5Z0vwUDHyaiqh0ohLru1J3aKvxUERFxnQpKqYSkVbQqhz06J+rka5UV U3IN0wPJHqqCECExPVBgSuVmIllCEg3fk6CSYQk269pnrX9ycoamsjliSGNu97XStuWxln2mCQiQ 2M/UKi1ClccvAkAIFbXaVVURcydFQRyBtLScEWt2CmhWrSGgkWCpdNIiH46Y7NVVZA+FHKwgu2jK +iMgW2C1aZSJWO9MKCTcSikFUSDN00lTF1bGayYsSKHcRroqWmUPyICX67KkjjPtWyc7QqRL7F52 dHPanV7vAkAUmKNHQSlkwpCBNWCgdFNErGOU7YWVmRouAG5BoYZTMcbaS8uIdDJVg5RwxMc+2aea 9/M5CwuhykpomShypCil2DQDlXZlp7R3Ss2EiJrtZQNBdkR2WbQImNm2RNeZ+2C7fJtuk6Bzxl2P QGVWJJxTBmqtJZmwWX62NTXy9HtU8YoYg0wQsDbtVdOko9t3J79NDF+qFvbHtHQZpIFVxmjWHCIE ZmI2XBSFEz57X0tABNnqWxfzeH8G1z4SAw3SJFpxR7aHZGWIyq5iYaNBUDLznLr28CiOR2Ianufu e3b+8GzJF5frzsrOzFOWBxX/uS6skp4vNYgBGqdy00WHav7qh3oErBOFINw4xZxR1ANv2Wm2HLvN wNvdx05J7LRItMeYelLaXHDWHds3B2EmqKIi913babDcqBDbZLZcvBQoaRn99Q5qLjJxBHYpTHMg TYm43hunjKumoxBdQOkay87KuJpN532bKDma44CmTzIbKE6XHrmrxcLLQa1AloOU2lPaYGzyTZGG 7Tt3CTe7we5DcSDvD9Rs2513HYnxmi+CDDZXybvUXNxgV82yrABzt/LkDrustZC83Zn9SI5fHJy4 RV/2Pg27wHEkk2ezMObRVbvY6G+Q5vGJnJS8fhG03Fp0qB+d7iq4uAJoefQymiwrW5xkGpUms/Oi KIaFHE5ubP6V/KOk+ZICddgGCWiy6swiEKmX1KKQIQ5MmQwDcls55yth0iGbndQh+1lfEpl6mTkD tHa9fhd0+L7TMG3KnOU3cvG/XE9OAPpz0znmoMFwPpeVqHFl0Vg6rdcmnaCs+lSOEuZVvcxKdXR+ tABpttNGQcOZq0Xl2XmzGEdB0W9JV/dBrvcG07ytkIpJ+efNLulu09NRVyuOKxoMcjkH5mCkG1wK LoEb42T7B4IcObJIEky3U64uKcBkumQ9U8K3XIlyrfpD8qGmk1UnpvDlQKsA7oQFbPNuciZyJNlt kLnQzuLhR8/klCKRpVou5ZOcwCWsWV/FCXJ67JRBHIgihWBFVxUeBeJYhkQprVClyFUNQ+8SvzPh UlonbcS1V8CF/d6M7nTLUhLaLJtMXarUBfbTC3u01usI4TPPOvfoo49rtdsAHnjg0fTrnXfP64yP 33jjN7/21Svg1AbIE8jOgWXCTj3trP7+ga9ceVmvKm7WoAyCiRTKo5bCqyJMHrAyxFR4cHDwmONO vO6arzX0Tt2ZqpOgoydT4JNz/diE4CCpVDLnITO5/h7fVibX/0BejI2R6R1eMdmew2Z/gfspK1G6 otWpYyBiFdPzUw5+eWjPrl7kmD1zcKwTFy0ZBWjx5L2AsN5r/0WV5LRZjwMQUcdIQAiVSjGKkyYm pr3vveHhzfddPHXd0ZWvDS94fHjx83/pWxNAe2jS4OQpg1Nn9g0Ni8vIc/LeFXNDzM6BUuY/mQiE //mBd6lPeF0yfYsEkiV1Jkfd0by8ON0cxYCMVC7PcxEzJh/khTgRw+1yvapRbTM31Ggh6vK52GNy N6Wggu7WRgRIBp6vT11ywTRyJsLq1QuNzqbqfBRnwfl7yN+pEnE+i3OJQ7yKTJ9zlFcOggOHmnnZ 8lUXXHDR9OnToZjdWBuW6qggLF68+EuX/Z+110gFaFQhMIG5U6U3G1A2PAYsdEqfg2qQlPkcuAaE WouKghkyctleoNUK7f5WTBtdVBRrRI4EqioECrW9OjNXoYxsQCY/jbXql7oyFgICpZf+Be8GhahU PKoCAXUdobMtuQk2hU3tQ7d8Z0D3u+0CotR6CNRqVYwYOdaxo0slE+Zo6q4uXV9TR0Rg4hCo1QoU UHe06lVJv5T1RYzYR11NjNSRsErcOUXWmurfszkfiWm4kvM1iywYUixOdPZoxZwAB2mWDDJiZIQo xUvSwAJWkNXGcxCQ/y8AS/iZ9DOVRDNaMGqll5zPMT4FzXmc1cFeN5SVwuECMzgy11zn+ZsyvpVE KhV/Wd5ti8gpKiKQ7OChPlxeFWEMc5s4GnyTCwi0ZEpSzM8DMuOTQ3a4tiBVNC4QCJzq7lFodxdI v2xOX2ZhFAZ043IrRavRGjvsrwvjs/WqVLkQsQOtZGJBwxsVEJssWF6vW4QH9vI8trJ2gcMEYlZT NGSLYKYc9XKEbtQNgELa4kJGkfuTVFMQRG0EWRpa0khQkvJtZrViN0r5x/m5xkfKXFH10C+kqpBc dPqfzXGz68VzqisnKLo1fsL/5hatOa6TkUPFjdxoUUkol6U1O2+M3VufAr2IXzE4u+FiQMX4yCY+ GAqiypWSDRbtTMSTrny4+MEcCbufuDhPjYu7LpIUyXRkQrC2aiQ7pPKCJbKIs5tk007k/4rGHYms t7mKi0W8yIUFPcdiafnBN9aUvVd9vPfgugfNXjQlhRM7NH2bi2OL3BRxZaYAACAASURBVGhpdUOZ C51CecFEtJrku/qx6cAJmhEK9Bkhn7s7rfB0Fgpn9fSMTBN3k29yxpMZafjFsMmFHjaiTegwtYDX vMoX3HRM6pj1r6eZMx3O9rtwQvvqRVlTi3uxotuCPUG98s0eFV0qsDtXSwt9Muvx/G6aVMZtt4zM K7r9SHKDukqyFwo7dSFVpu4xZqocjAsFbAPJM/OpJc7XZr/GWpJ2y2PE+QgXNT9qzh6qAHN0YcmK +GRy3s3foWTlVeFl09w18HxngwXdzGjgtW/Eaxr3ULsmijTqTo2ek85kUTUJcZd1zX0X17FfLJhU QnRMBZFrVwDySlnknlWzfL/UIF/1wUORGmj55s98V7fblJPk1Kj7qrzGWi1rAm/BhWpki1IGuAu9 v23qYhd5DULNEgzDm1LTa6HO1D1cYW9+aWiXeUXOy2dt2bDUOUnsregpOya2mJmKMWYkyCeybhIh zVCK9ZkDFGqbu/jn6MIknJVACGCvfAwurYd8oOCxxvycJSWi5rLeiyPAIZDZuxm3Kb+kDjFy0JzG /GCusTSBkJCbUc4YX3W4ZF0gXwJNQkwNUBiY9SPwTC4YYLtA0gUdNTLXFeBV5dy+HdpBUskjjzz6 7W8/eOnSJYVuME+dOvXHP/7Z1756hY2riJd8eqENvufUM99z6pnp9quu/JILBRosQ+Ngb50+iVG8 txxIk0YCcMxxJ51+xtmLXn75xz/+YXeb4ljk6kwl6Wxe+iIam3crLPjuKfZzLA0j8WDl7zaJNrC4 xJEmj0yy4iNYQLA5RNJROlJaaazpJZVLB7dpVJ+nTGoDWLpiPH2de+TmDz619Jr/fupd+6z7+IJl f5m/x6Sx+TNGHwwBlVSxAwy6YlodnV5mlpZXszzkRHjz4Ir9n7/lc0t2rhcv+kCYjz784JKbQLTw 17+64uTnn7nrr1+56TWeOuulKevl1dWWRxnK6fMsuezeUCF73lC3QwUAyg5cXBBLfRkg0uUWpY9M u99q69wtOglHnESc6/NuXr91C+j1D43ju0w+VwdcpIAGYHpy80Ju2aRTWZcqUfpsrUZHfjU6WKfl kpHlZ04clGlrgMrLzRkYFmucn8lmhcfUVq5WR4DSWwYz/5gRgj0Qm/ZYXr1q1ac+dUnP6jMUkAA6 +eSToiJECCFUrciREFpVi4AqVMScHnRnEySzagszsy16VEAlhuxbGm2rU85B5TjN3uOsEze95ZKf vAKOMe2TgBiRHqGpQuykjaxBBArCkRX17H3PP2uDGy686eVBmE4CILcavqjMGDTKviLB2MAIgcZ4 9jbHHL3pLZfc9MJGO51y7MY//debng0sRopY88p61v7vP2vOjXO/t2gSa+Uu6gP+IVBVBUJaNK0A r+JaUa/z5nNPn/O9D/5kxWQirlrUYdkPWJ1N3/ju77t4gxu+9J3n0d8XQiWBRBpBwPLxtXc55fgN vv/Bn6+ektqPzKvqWTudfNwmP7vkhwv7k4kREdBeueOZF8/59hXff7nTajmcbdqUQCJEEl3mUFxp 8GvehUxpFWUZ/pllYXp+3hCqotnGpebGqebu3HZ6LITSy53FZqUMmjSOGWmXbglukjZqzzlcUl8e gtZPiYD0EmSkvRVC4a5I9bdACipCQEo7v9h4ODUYWaMi2X5D1kYrt5wIKG33wZE7sU6bPASddki9 MbFaIlu8YPFPcrjpW0JssgWSToJJxA6qVVDKJDPgwKnwHaAxrNZwpTNS2oQ3pPFghIzVpjC0Tp25 mivNBIBjVK/lAjpmFmdrfPKZrQRn0MAVAiEQXWBRZ/kiqpFq6yGt7A6BJO1NgWyMftGgdCPld5KV /WBGZN2lW9VTnAQL/Iph5CgioaBMl5C8uJgTUmq6V4Qtmo5r8K26mP5xhfpsPtYdDIQdJ2XenNQK 2OIuDbNZ6/Zm+9JO0ZfdBQblrb6Kwwd7BXw0kkQf9IkgzSOnXznrTNetMmgNEgvFkvtJ4pcJaPOX ZmpISyXWdB43lTdTowk36aASQ/MlX+W4XzfRZXaF/PIgzydHQNO9KVuddlhUSLrHBCmrPTDnRjUu LPr3/3H5UXTKRiiuH776TApU0o5GKkBDuZtuKpcl9bLSFnrQDy27l22ZyEk/OI/U0+0Vh43UU/N3 DuolM1IINrhQIlhpJne7aoQinbEolwYN5xV0dUaekfJ2vWViornBT22ToPpiEZYV1bzJe1Y6F4/e jCX7S/pB6NO22N3OmfkFF70YOI+PmgLlJgwJMmsfqgzZVlhN0SRSKpLzpuWoDA0s+raoJOsNlzd4 m7Dqjwf40lkY/8jGS5l6A6UU5qo5ojewOE5x+Rt1s81zUsSd68GO2+KFyhqHq8RSjvKadqQpFiEl CwTSDckIEpmZpuTVOA3A9WbRBc+eTvfERA8tzQzTy9RPOGY53pm7RVrSmweuBmsMIceSkizRzWY1 2+NowS+4+bPCFaasvRC6qQDlIr/ep55VEVlnwzXYy8S4GU1HoFGp4WjB0C6qKY+fdNmWG6voiAND /+AHnOy7xq2Fam+M9npZtt3YrUNBH836e0KWy42c45oQTAvULzWu62OWnEbPcNxhpz0AIxmFRvra Dzv3ylrVK/A+m5yUSinbqRugs4WsvvBTT3AQlbS5YL6mDqJMObyXiLQwNkPIoMV59XdCTQhp509K pKYHRRlSVaH09p1idlXUlJgjYnoQUZMysUAGdD9VkaVltT2AJA9ZFYN1AAxGUZbvevyK8lrOxHlJ jhzDddCauBGDg61+8fgD43oebbkUmBhotdv9/VWrsmsYwF77vPHhhx9qtdsGwU5rgG49Jj7lPWee 8p4z0ptvjj3uRGa++itfhgM2D+0Np6bQnq7N+QxROOmU066/9mtszoCJgZ122vUPv7//+uuuOeyf jviXc87/1f/8YsXyFcYbr4f+g0lIS24SqJimmh/NhpGTeuW7azMXPZkZtJo2Pf2bX9zoM2/9xCPt TEkxTmQgKQgsyDa5Z675qgn5m7Ropr+21BQY1F4w8rY0gMG+aniwtWTF2J+/dsDoeNzmtF+MdxjA rptN+8Pjf9txk6nXz911i1NuAeilqYeMvPAIOhGVTsKkgUakVLuudW9pjoipREdvevp2Zt5+77H3 335/rHjvw1bc+aNJnbpGpzO04+6n/mKDnx65YrMNq5/P/eG9mx/46NBm+ZEjW+6pj7pnmycF27Ri NrptWcT6dEVzXt1lLAfn5/s4Y5W+WU4MIT8EVfDVRGaYhdRbw7ys08b9/8DR4SnnfubdG/37h859 bIv3f+W0OZ8+8ewFe33gqtPnfPrE81/dTTs3szNeNA6hvBOnnPu5Izf82gff/8zGggtm9vqkhZWi Aeah9S6ae+ixmwwuvfdL77z05cWDM1SfY/ZbEs2q08jEmC/I5aMcTqra5jmBDGiMXKFmEMkWxAKN qWIrOpH2I67rmhmzZ8866qijfn3brxe+sDDrgIyfFy58Mca0CQUzEYXAoDpG9G+4/dlnvnmkML7w 4vevuuq+JVUVo+xTnN7si0DBFmxIKG1Bhk2YsFaRmMdfuv9HNzz53Mp6ajsNN9aRgSqEdl+rU8dO HZm5IinNVa0QY6SYZnACIpC2DMhzIA4USb2MahigVSpmgEKFUAWiML5q4R9+fMPjTy8fay+4/z9v ePSpFTRp8vjU7Xas/vLgK5HrdLOtwtBOrIbcmjx1yzfutfMW641UQAj1koUP3H733Q+9OE4gTgW5 VhUI3NduVSGOUeyMy6aCqboHgAKFimIAk7zGMA2IAnEdCWi10gJejjHWkcdXL7z/Rzc+9tQKHu4P OlMsvlxrJ17bVNPMtVI2OWVO/siNE+anS9NxACwQkG0+Y5O5u4z1zoNqyRIBUjOMiBw57YGNFKCQ PaxIEmRYpOQBnuF8hWih7f6cDJjtHRbyvsfydbPm3aRcSUxBN74wv5HjA62LpuqpbqbEOjL1KNnb WSwkS2ujqpZuwQy4/eRiikJt+YNrJn/TTiWktEK8E2P6xcodVpYwEJA4IYFL5GTM4jb0j9qTxk0x bWCdo0CyCE21zNYdZKZYuCZgmmOWUmmyfiWp6/wDyH6AMlOGExmyW5ybWiEipL2otfZLkRFkas4S XUIIqcJOnNY6MyJsIw8dof1jhSCRQ9AyvegSw8QBrWIw51g7ZVHMbtCUA0+RVIFpTgOzXtkET6qq ux8yvQ0tsB+1xJ7VzSkYjJLyoPIi0aqCvKKg1XTqzvcxF10WkZs20wAozgIorjSeUv5ajsPDBJX3 mnctm2sQ1ziKJV5ZtZs0+R8nCGycpHIY1+ts/s00Bl7EGZOgYFmMwMC/9wI1b7xwiD8B5Y2qpez8 7sDfJUxF09z9k3wtlQSedzwh+/wbD7J29ai4sReV643Lr9TQQjS+ghrE5m5z8dDJpzlg9TRyuXr5 ZsWc4J25d6zliLTZXE1QIE0Qzvm2MgfzdDdazhuN9VZtlNqd5aqjKKcwnM0WzRR6Jr4mDSgWHiNd ZQFOFhQy0xoGYv+XwNRryMwoqBVDoYzc5PibC9LZLajUoWsrpD8iirq0s8fwuwhuQH4RZfhbG6ZN ZFxgjYBUp3uuGS84lvP2LM8GjjlM1dqXgwtVNwrcAHRtwFg+MdjI72x3CE/NLojSVtDijinrsozG yh32k+dat4QbR9ZFWG225Jow0ydk5QidRjUnykqGZpOiLIyyxeKeCYAvn9Wc32mm56x9NgVjYkv6 9YwBThfBxhSW64i6fHVBd8H47rNcSMB0gsvRN3kKJT6vNuoikcvvZasNoYqmu/pyj6O0Mzc+94+h lrrXxoDtFJA5WFxRMoNswKbebqVw6a3IJJKbY1fzdQbSQ4s0DPO6UwpHK45STzAM9JOoTskZ4LQK LQSitAs+exxVrLf5Oa1TGRNFzSg9syo8lYwtL3+2gi5ZOq8xEWtCEJmBqElDLqOLLZQFkIRsrDhu zpK5UEyTYbfb1Ju0XQVVkgq2tKcl07T00yOY6oI3IFtapF8KX5KtlxMClk9289HHnjC6evSRRx5W fSiI1UFqVYPAzKeccvrJp5xu710HcMyxJzDzV6+6XHoqFbxbqwgZJqHYfdLJp598yunXXfs1cREM Zn7Xu48+7/y5Z51x8p//9KcrLv/yJ//1Uwcf/Pabv39T5rVZDbum7TRRDDO2eMepJx++z1Yz2+Mv /v7nV3/uG39YWe93+X9duIknKfzlQ8e8/97XqoqIRuOsd3z1mkNuPuyCW0drL9bC/0IrVHY6WyVR FTZ42zkfe9++T5x1zKceXV2FGGZucehp7znijYmMn1312evvX1p7qEjp65y3n/vx9+37+JlHferR 0aoCQt8W/3zueUe/ac5QZ9Ef//urn/mPe5eO6yhbQXc3WzK4jb118JoLdzlw57X2vfA360wf7GuH zWZPfuiZ14iw+XqTn3pxxZfP3uHHdy9Y8MoqAGPVtKVD205dMS8yp1dSAEDauDUyCON1rcv+og4t zlq+MO3bu/VO9UPzIoC6ju/++H6XPfHs0NcfGpoy7cAb3nrb8f9z3A9P6j/u2ws2WWcZBsVi01j7 Zp33byedMLPUiPnXvW3uIy8MTk+VXzK2OOCQZ3+tnh1zIkQMmjL7wNaffvXqGvpODY2q0j22Mtg0 34EdOfEmXarHaL+PzP3ytit/PveCj76wkdhWHNznvLMu341vPefYuUt2ddRP5Oeki3rZMzd98crJ Dy/g4c0IoKofMeqHDkgX+SWYdqZej+FNH3n/l7e1Bl/7/plnf+LFDW764hWTH36BZ87JHZWpljfj 6dvv9c/tHx3whm/PRxietXMVO7kUb9pXlJ5zawJISSLmZpyep+/qe7RNlZgLfxqciSz79Eciolba 5JjrunP9dddPHhnZcYcdb7jhhnnz/kBEUUOl5LMS7jAQqtCqqrpGjExjT//kw2f9jIB1DvvQ3C1+ /cnP37kkEsfp06f0hfQ2LZI9b3WSNmOjzT4ZLOtSnQAw0dBgXL1g/vJJI5UFliFQzVUrhCoEjhQ4 EKqKQkWtqkUVdcbHeTwPu3DlrgDnQ65QEYA6vXkwkUVUtav0qlxmHujvLH/hyeVDk/tDveq5J5YN Dldh8ppvOmy3xx54ZDHV5uGlyqcVoECBQiesteXhx71hyS0/vPa7Ty7uRID71tzizUcffcqsX1z/ i6fGK5msBQMcAogCM3Fdyw4HRFJiBaqKWJdwS/lPMqGIYpgca+5vx1XP/XX5wJQ25bF6PRUuZLXx V7DpqKirFr+cX1XPWYRHPvgzhyB+z+ZH3Mx0ptncpb0ERgUuK0YBhACOJPqI7JAJZJv4Fk471VOa 0YCLd/zImJi5jjHGWqyDkMrTaq95XCIVeTW7qXNmBgP+7aHqK00tyaYWTJ46JNa6Y1RLJ5uNYp3P lWg2OXOpV/qKpFtmBXYcsJX3GSwEXrTeK3dYaqzriBlMCBq9RbDQodOzaWBCdRJyei01bPlzESyk gcYcKumbXOQpUNMRynyDUSdctCJyVsQcSQnTSQYTDS7B+r7vzHHNoBSL0toL1jd+yoN9zKhre6Fp tBKxxYxu5QOLLhMR0h4vFRFxyENLsxxWiXZBZHfkBuej2NyF2pz5gYylginSdozMSGvfyIavxm06 y2Tv1GYz2Ubq1zh05Q+r6XofpTco2PR015S702HaDQ6fSPXaNWi99Yp1UwNaGOjCgOYwmt+z+plz 6pKLh7uJDwXCMu75RxrpKqAp4umQC6Zmxe9NkQVt0PwMsNK6KBABvmTbJKuobbGpZLINJ65CT7sa AbGf1PDzRcXgRbjFcCairBcHcx/c+F1fw+dhsFc7vRSW4antQXivy5UcmY/RqE6R03M1gVBXo9T4 WPjd9LdrMOyuT47XgDc9uWFPlRaOquybiiGrsrglplnI7vdcWGzSxYWG+dYbcYMbarEEg9JKHbCW hy3y+HuWWBwTQ4BrK7mJPIuWh+9cOncxvtEsN2RGAKUN35hrjm4ZaVMb4N1dasvPWydyrAyRIw4P jro0zSaWu0TsK0vCYY0EpLkSPh0e+Xk9BREgPXZpWwUgeyllq7WcFyybzveyKSqAr3maQLIddNI8 zquJivhXKPULWpv15l4eJYNtk6zcKBcsU0mYHbBrueRkfoLV/ZbhWMhVs4KHrddReEGELizovpHs G6mvE4o85/KMIVnyINCdnp5RpwLBLxfkNHrMVbM8GegsI0u4t2fk7m8Tg7Axj5sNUdcHFRC7H731 Kv4gY645sAI3jYn5hokO5x3sZjMnKk7AyFCEddLtnj4knYOzYWnpWR6whQEJFTUd7VrMyHOtOc1n YnSE2rph5nIEGg1A0joGc6w1i4GZqi290J80DyazQdkyESSgxgCC7C1KBV2SO7LCQnr6L8ZUerag nhkcCmp7KEApS5tr0uFxBpacA/jw2Kug2YD6L3dkRtnFUHzMSvZ6WmV95HaivC9dIOmoY45/z3vO OuTgNw8PD8UYLSRyliJOypKAk0457aSTi+pzOo4+5nhm/urVlzs1UD4YIBSISjDlYJx4ymknnnxq lAW3DMZ6667/7LPP3H3XXe895/wTTjr1ovPP+eUv//sDH/zQm/Z7yw++f5PjAMEjPWzGQQa/tJ65 2TrPfu/8g259Chu+8/NXX3zREyd+6Ac/OP6NP9JgtbXO26/81rt/8/BrnKUTzA7MnfWaUSM0xUZE TEMzD7jwMyfNfPSJxR19KHRpnLnFOs/e9L633voUb/Suf7v6Q3OfOP7i21dUWRphaMYBF33W3cVA PbTLuR8/cvjrpx74o6cH9jz/iks++65zz/zOC1VqsyUUEC0Z2Moo2GCtoZlT+v/l0I2fW7Ry41nD a07rf+gZTB5sDfRVs2cM7rHljDO/NM8ufm1wqykr5tVRt4oFVo3lQU4ZJOlKXyYLYI3OinW3Ghtb PsBjq7fbZRQIO+0xCmDOX/H0q8sZqMc7n/te+2Pvenbzvdfe74E7/2vmWzKYMLDq+Y+99eBPBOrb +IRffWu3q/7p3JtejohxaNZWff2mnX72yrITg1cVjPnXOLDb0e849u5f/c8r04X0qNdr+MMaiahr Mz11oGnVnUiI48uei3u9Y93JXx1bShWATnvmcVssfWblELUHEDv4h4/+oYEX/rr45ZHtkcyG7Ynp CK6bdu6RJyLQ+PPfOP+Arzw1moZRDYxsNLTwyVdbI9tWXGfGUnl7bqE1vMak8Rfmr1hnh2EKVV+f buftPY6PhbKDt9Yom6pe0xOAmtYxMTilnUpjjMytKhmwbIq6atWqoUmTLr300if/+uTg4ACVLk12 luAIjoSKYx07aSlqXGvGZCJa0q4Y3N/fXmfNoVAhjmy3x9sOecOGU1qv/fX3P/nWrx5duTzO3v/8 I8MPbxs87Mg9pj90/adum/O+44d/Pa9/tx3WnTalb9GdP/3l4vX333uzGVMn10/df/ONv1uElfXs vS84daOb5n7zlU33OePoGff+ub3dVmuOjAwu//N9P/3pH5dR1Zo0svuRh+2yydqT+7Bs/oO/+NYv HxuNHYlgkkfQgDSNwnAPHKZvcOA/H7brBiMtXr3wvlu+9Z3fj275TxceN+kbH75tbFpVtV7Z9KwP b/Xjf//uY3+L673h3NM3umnutxZtts9Fp23wnX/9+VYnnbT18ODmHz37LS/e89XLfr0CYA7rH3To u9+8zYy+8YX33Hbzj//8WhXCQP+eR+370nVX/GJ000Mv+tBmQ7FuD8UHv3npVVf3ffSsPe+55vbl ItjIkat6s5P+Ze9FN3/h+qerEVprnwMPP3CntapVC//0u5cCiNrtquprrR7Yape3HLDnhiOtZX99 4JffvXvhuAmbuRrd+Piz3/DyzV/4xqNhyzdfeOaG35n7w8VT65l7vunQ/XZaM6xa+OffvST4uhrr v+mMY7a69/PfmtcZF1XrMW+hgSUzEEJIIYxZtoG15dXKZjENjc1FkXvEwy78VIULCfNDCBVVIeib QiMTYnp7cc01p/kMzq+0Mp/XtAx7SsGFSyR/0hZIyedzZO7EOiKCUKXFz4kzGth4yl3ZJNhcuv3N MZMGQBJjAVI0tcAekNgiveaS5a8FglYgz3vN2xlom5wa0TWgjVibdbYqrV5joweAK1wr5sgTZBrK cWR5Wx0xp+2hCy4T0hICKU5HeXOiPhZHgNu4PFDIUVi5lk5jYhfV6Qj1FYEpz7P4SGP/xGivUhJA g9N+IVHCTxsmMyEygZk4pgEnoaSatuy0TRxCVVFVhSqxr+aaKdZ1JKQmXTKmwXEOwcDysGCqNlAg UOQYgciyuTlzYqsTgeUFIKIQddC6H0xmDnQyjaClGNFte8aa2Vye3ajVCAJTalM10WmFk61Tph77 QMgqOnaXsj0ApQqm3RdhKJdRnOch8g1l+OpThGYESMVPKhaRSGZcV7SPv/ODDqnHulmyXMH5dMA7 6qK5wuSVM4Wf1VhXdUn1uHl3yTdSvrs2/W2WDZN1o9lenoTXNFoJp7zcNxfIVAOcTpCVk6yqy8gh u8ETDIbFGYCRVygYWxzRzA2xN5DdKUtCcOvVG0n5PKoQ5aY21Ck4fc0qqo3ac22u3Pl6h67FzM2q 7rH3s/awnBOjKmxDziZEwJjK7gQDeZ+pHgTqO5RSHFcmVEX9z3PVnILLqS0qRRYM0HwU2XotdKWr fX8iW2dhEu4htSx1Mtee2y/ELOxvCMv43qCgMDB3jc0+WRcl9UU7NqWZ8N8hkPbBQNoHjuwBueCS W9VfG1NRAHI6bcXYvJLMdCNfb+6RAXsjMxUzisZo54l1Lp/LPps6kd1U0ypdnbtkMGfNL58R96Qz UiDAuaQLgS4TCMz3uRHneoveSsimpWQoVukUbh4kGYEED/UZFBOjWBdTsxs/F9ADKUblKbDM9lzI daIgAWIZPOd5QfOeRdW9lw31PAya7Ya8TCHDPcFxtsfhi46UlxJrtTmvHpGhOLuw/LZpY457jY5t ctIemCgHBLj1M2XW3By9rBMpz2cGdGNG8X/jlxJLzH8rOdYoG2d6Nd6gULSweJscFbeU3/SLm+xt DkN+bFYxrZabIklfL8/rf7KTSvbBcqP6FoZHJFIw0KfjWcvEYgXRkkc3QyNmCUIIoY7MusxZMI2z bCxRygsmJECnUFEgxJh4wbqgx4TErGVVAoGCLY2JsU5+Pb1CKb3MJ3HTgiJwrSZfwAyVFt2QCfLc KttJq99oQYWkKE6FeDVnVmtyDj4vQtf1I1nkxbIjsupxKnwo67QR5sMOeyeAnXfZbZ837nfnnXfs f8CBv7v7TiuTC59tnokgrx4CM/GVV3z5M5/+DIDHn3jKxrzZJhsCmDQ8NDIyfP/vH7Dfd91pG883 LgKatIgMEXzKKaeddPKpbCbMOPCth5x/wQeOOvKfnn56/p133rH33vvMmDnzlUWLfv/7+3fddbdW u90ZH+cMtQ6o1Tukthg8uX74m5+9b8rI8Mzpradu+/mT7z11/eF6zemToRo5Ovuo4+bMu/ZXL6E1 zNmLyrEibH/xdz8a3n/ol57pZ7T7D/v6d/f5+okX3L66sg6LKISB8bGVLz5x66Un/vblI7+7+xy5 bHLnoW989r7JkyZNm9qaf+vPnzzntPUn12NjO5597ed3/MkJ531v0YrRlS89ceulJ/zm5SNv2n0D kX49e7/d+Dcf+8X8vimTl/3h+i//4ZCL37z2D25YNAYwc5BF/8wr2rON4j8+uQTASQduMNhfAfjM ydt+6awd3r7HrM9+59HN1hv+/E2PPvzsa3bx6vZ6VdrKlhjgGLntjsgcGXXNsnEsGIid8dXDw0Ac G5o5ytwaXT59jYNPnHdP/4ufu69V1xgd76xcPf+16aOjvNlhW6z/6gIgAhGo7cP0zfaYusnu1WA/ g6tJM6dusvvUzfYcWHfncy46/a4bPzLvutOufufUWaED1PV491QaAwAAIABJREFU3Pqgt990+YX3 3/jhe69450XbrGpxzTS03z8fect/fHjejRff9sk3HIAXtzv8sC/sPWWb86685bLDTwx/QqzDyJxz PnDGPTd+6L7Lj7hgm9F+7oyt7nvfpceeOnvko5++YN51b9515XxwDY7gDrgDdEAdcAdcy5/Qee43 dy7d6W07h0XEHWKescOu6//llj+vZHAN1EAdps4556JT77rh4nnXnnL14VNmVWNAvapv8299+axf XnHWL79ywbwbzrxo6M+jY/3vv/bTl6/zANJGCYgky0VjPR63PuiQ7375/PtvuPjey4+4aJuVLeoA HaFK6q2dqZvuMXXTPaZsuufIhjuOjfZ/4LrPXL7OQ6Or+8+79NhTZ0/+6KcvnHfdW3ZdOT+MzDnn A2fec+OH7rviiAu2WR1G49YH7HfZodMH97jop1896azhx8KUDc6Ze9pdN374j9edevURU2eFsfGV S8LsfW/9+oEH9b8K5snbH3r71fvu/uodXI/ZMMF1Q4L64f/un7QvqzqDKIUKBnDsccfdf999X7zs soMPPjjPlqZqdYwAouzCSrGOddr/IsYoz9rLlGpVBQSuaY3NDn/X9s9/4zMXnv3Rm17e9MgTdxup QUB71l6Hb/LsNz7y/g9c++goUXvN3Xb620+/8LGPf/gLtw8fcNQJmz19/SWf/PAHr3hwvb0O3nIq MdK+AyGAQO0Z22+96CeXfeyTH/7It1/Z4Y17rT0pEDD64mO3/+hLF8w9/9xL7xjc5qC3rM3jBmdk T9ywznJqnE6EVWu89YjtX/nRx8+68KKLvvC9Xz+ypNNqBQKqVkUVIiKlx/oix2hkUCAQlj75n//+ 3y/HRT/51Mc/9m+3vJQ2au/faOdw12Xnn3/hJ36wcpcD3jxrELwybPzWHV6+9dcLBt902uHDt179 rx/51Bd/9NLwlCmTwivz/jK24abDdScxNTKWTz/ohDfFO77+7Wfaw7G93h5HHrLBg5d/9LxzPv6t +WtvPdJObjGstdEhh22/4BufnXvOx25atP5hx2zftzrhAzMtn3bQCfvWd15zw3Ptya2qCkAIYTzM 2umd+2/44JWfuOD8T9zw9NpbT24DAMZXLV7w+GOPPr9sPPoQkNXtSWxuJzSOKHMOiSwarpi6rusO vyQ7IvdJZ7mZgIpCRWnlaUiVu3RRoFCFUAXbj5hTCU+7lGakD8pLdEs1sFCINN0BR44xvR6Qqtwp Sb04XdXjCWwrq5OmZLbfQtoZOYB1cNDWrFE36Z8sUV5qpyGRskcEI08v5HNEqXEtj5j8GswmQt4C wrIxO08mgRx+GJvSQua6ruu6jrG2CplJIHJkrmOsY6zr9KeulZkIIVRVqKoqVFWokkCVO4FUxFWg KlAICLrfiIw86KsLE2eDq88KUxuZgdSaCzZyzNqSNVLQIUakhzQsIjQRBXHRCIFDYrWslK9jrKN2 0p1cSNcaLVNiY82xlg3rYoz26EJTb9PYAohAQbZeCTlUVRpkfGl5s9XaZY9r7S2NLFohKYueCx2Q ASMveDfalFlIr9XNgWQR/PnGJF1WAt2BLIPuJM1SqsaPBcXdpzzWGNmUqc6DYQ2Ii8GV3WW97+qG u/5oWtI4JPvrGl5JsLRoEwyARsZosLesiPQ40mwC9L4Go3xSS2Yz9ugAcqLX4HyJ4TmbMRJtXIS8 SpLUhIqaveQFphZwd3iCyT0ul6l+3dFbFznl69WyH0c3ixrtmNY0pJ9dB8rT+RKTZhcwcBdNTV2T i0RR1Y8lvgdDg1RLCAWL/b6uOdmT/txOpwUIphuz4LuVNnXuVqEX9pE57f7zt05k4sUPpvTpl6wB rD+UbUJ0k7xdFHOqaaxlb/qdu6hQ8stARksXvm+nFRo3K9OULxplsM0BCm90kKpdnOJbmehuhFtZ vwqP3kvrDEfViXvDVJ8gXqFL+Ea/D/TKTqjZrf7QQ3eFYgNRuYTUoLJL1iKxp4oc8hXYYWFJQ/FK zfEgV1ycwImUuhL13Sg0Gu2tHgJNE4BSLl6QYX/G9Vxozlf6eQCtDianD6kbK+vKfibiexdVBQ4W LVD3DdT8x8e6fu5L4d0a8xd1OarsfNmpN0Pnq8jzJzsGk0P+qgFKggdy3k7tz19djMui7x7w9rpH 5nS31TSZkz471jQDJCfuRgumHApohJJZgOYyRCDJuGP0WtVFXW60pK7JICiCUJe6FGaUgbaAEC0c s5q0Yp8ZdiMe7wIvnS9yUZBOL9nAc+KiTOLklEKgqqIquIsMDUmqqaksqxALpIyl7ugimVpq1Ui2 SVlrne6WLPGMLnnCRr27RhgDTq44cUJT3uCWlhRRsob3yk1/WgdYQd6kGODWwmRXk2f8mAHEWO+4 0y577b1vjPG+++6RibTSU3YHginvnjIyvO66a82evabmL7Gu61mz1pw1a80pI5Mo5zUxr5IWQtwD HsqaO+66/4477z/5lNNcagBmjI6ODQ0N7bff/u1269b/+VUIYdvtdiAKjz36aLvdXm/d9RvRgrdw gRh1IK12NXPG1L6+FohGtth7zooH/vSyvEgIQKQp2x138MAvr5+3qs+AJMNPDr4C2KymiGhUGxOH AKDdxuhDtz6yeiCbBaFqVdOmjrTbLRIy/vKnl2Nn5aLH7rvn/seX1MztPhp96NaH7S4QMSL1VXGs 6muDMDQYXn1pdPoma7SFsRxM4cbCZOPE2tMHAAwNtGbNGASwx1Yz3nfEpjdcvPsnT9j60D1npfK0 HePVMBFVAa0qtKpQBWqhU3GnxeNtdFJWKQ/7qnCqum71UWsAq1eEgR1m920/pdV+uKqq0XFePTq6 4oWFzPT0C9TGy5Pw6khdZn5FFpgNo8bUY+e+a99HLnvj7gdudOgX/7jjey57y/K+GOvRpU/c8+OP nHzkxjsf+o7vtI88+41bxiVxzd0+8qYXP/q2g9bf7Z2HXfKDXz/x6G2XfurK+eOPfOnsXQ8674pn Qs0jR17wrv0e+T977X7wnpc8tf8Fxx429ApHpr45J713q/s+etJW+11y16oqRsuNI0fJyi1hBohf +u3NL29+1BajFGNnfOCtbxu54/sPj1WBmbmu6zhy7IXv3Pdho/mUy/Zb1hfr0cdvPOSgo3c5+JTD v/bEa0//8uZnA9dMAFUDbPuv6od69ZInfqcD/G77yLP22bL+m6NK18zFmmONWKd3iRFAVT/HCDei O1atfeT5ftTHHT7w199c8cnz/2vxyrsu2fvAf/n8U7OOnfsuR/B7LnvLikkDk1774/cvvmezi45b c0rfuh86c73ffPrquwe2Stul/b90JLCJzEB6gV7SsMjM11xzzTqzZq1YsaLT6dR1HXOZpFCctEF5 Qm+AQ6CEqYJlxHXsLB/aeq+1F97x28eH1xrh5++Zt3LOtuu3KwIR/+03//nYa3H6tCn9g/3E9cK7 fs8jU2cOjz6xYBRP3flMZ3D2GkMvPfJSHFmnL3a80yPUL955X2fqyKx12s8//ipNX6uvrocGQ3jx 0WWtgTlzpvztsYeXDKw5GDuhCgBSlcuHa2zlZxARxpYtXNK38a67bbLt+pP6Vi3tmz6l1QoWOuoj IR5wxKuHqpo5Yzihz3qzZ8yYPhkEQlx42y+XDg6vP4se/tPLYcba/TGOTdls3WV/fiFOW2OzKYvv fbA9Y8bw9LUHO8s7CK2AGhTrtB6/s2p47yMO3/iZG66+f1Vfu689OmnrHUae+e2dT09ec8ak5X++ 7eHxGmDG0vaWb1hrwe/u/Ov0ddegBffNWzFn8zWrAAZ3Vkx6w6GHbvDcd/79D6sH+gfaRvTKoS13 GHnmzrufnbLOWsMrHrzt4boGATTUXvrHm6+7ZT5zCBYKMmAbkbDLNBo+qYxUGvGMBi29wl8yd5Gv zIFhTjkIJEVJKT9qZEchPX4VgqwYyekLIacHZXXFRWE+xslBtE20cAQhEKXyN1HQMCYIpXJ5oyE3 PguMLRJyXEpBVAC5eCnXoBthGjlGMzPnOmLB1USeFGYZUux2qbkwLnfuWeFT6CKxyFGydK5ooCSk EIghWyELlMda6tBR3vQXQFXQEjRVgSpffHbF6BCUK0Er+MGWD6efXSTdZHxmSTOKtaTGEmCWL5ba MyvocyEBa5zkTitUszWdxWFCc9mKD+M4cqy5rmMtj7wlFdS6tqWgKg6k+CVXn00v2IqFqheOZGYk aTFHzyKXLyEXu0lUVL8QEfl3VDkFccfrVUOpkUt2JW7/wMFF2k3u32IQzZ7zZdz1u7XMTbXpQSIV /zYrqd3UqvXm6kBXbd01boZdDOJ1WNqTxsZZ5qJOV6Z6TgsIyNAk5NjozD26LxaJd8Gdn8vTnEjL J2naxYfojrYeddmMlK5ClW8o0qMJOFCadx7/6wvOM4fcnwm7y6BRfvU4wL6xnp1OREw+Go4LSNNg svllUNjXtKiHkegXVw3tUXykQms8fGojBOcpJjx6nedGg+wrxu6k23BEQ9TCUBX52D5nJ9aFtUVV hhsiMUfRJZseSGlZpFR+iitcraxoyb6XLEtTcuoxNBaXbQ+d9Jrmwu5vJqnHUaAc2VZbOegHzEv4 wrjjWNnU30G9BpFZzGp4nl9mjFzIPVsrQKqeE0OiD6cAV+eCycIHPnLTREMoq3dNvtq3br0onrTS tsxfKyL0tIduqgrVMV9jA2GvM5lb3X5LfjFF6t6lpNG3NwYlxdVysytQf9Xo0L5bfAmbR/Fj6+Z/ gY7eTZVjMY6goElj1cw6V17WPxZT5xyAmupRhgWFDjs3LqvRi8uJYPsiFuafTugvXjGdUVD+pafd GcuY/Y8AZf76WJbyCc4isRsdgw3+PY+s70KbqBgy612m1ILPOQJ2mmlIoyE2LA7Pt+urwKNO6nlM FRsyiiQHdLEYpWyHopWhnZ5of92c1b61zlPHmEodLhlwu+fAMNkXJD1fqOBrlyN2Hkz9sBaSs6jy R+NRDikcQyzMdwFUSpOqKgRTGrcvJjtOpuWDO+28W6o+xxjPPff888//wOlnvFfqxVmNnfOUvjIy EVGthxWapaTbVYDugZRpfFxcrIUmgHH/fffGGNefswGAhQueizHOnLEGEV599ZUY4+SREddUKd9c VXDgSgBQD+9xxoU7P/mVKx8cb9vlY9P3f88uC7//vUdjf1+en/QtezMy6WeDd2bvrGdoaLDV0t0r 9HRS2nrynmfO3eWJK7/y4Fhff1j408+8/6rfLYshEDBpaLBVVb7b+pnfPjSw32G7zuijdt8Gh5xx 4PTAXGvy2grNmASD/dX+O62FXkdV0S6bTb/5Y3tecsMjH/+PhzLbtI2qIjAvW531dbifopRKI8ZX chxHPV6Pd8B91SDd/z9/C3dHxqQQXn7vVh8efOBB4ojO6pWjNLv/gYG+1asHX6IavPKVnvSgGgNq Hl3K/Eqcts07133qym/eP7bmppPGX/36NU+e8t4d1/3P257E4OK/PLV8eI2pswfn33HPi6dtO7L8 2VXPPfHy4MHv2H/L+b9bvWDB0mr6+pMxnQDEsWnrbloDnfY6797w2Wved9/Ympsun/eL/176hbdt sOiGhVMo8LPfufonC/va09cDCCsXTeQeebyPGGH8qZ/cvOD0wzadee/jC6a95Z1Dd83905ITiNFZ zisXxWlb96R59Yy1AcQpO1969tSbzr7+SVqXR18DGJ1l3R9aWLX4L/NlgLff8+Kp244se5artY0M cHu9U7565wk1AF56xxnHX/07bAEwOst5dJkfUWfato1Rv2OL0ZuXbAxmoJ6yzobVGvv0JHjVQP+v PvfFt333wqs/QtPv+uxh96yiaeMTSu3/iYMGpkmYoZOD0MfzzjvvfSeddPI3v/kfixe/OjAwYKiq m29wjJFAFKjuMOqYqkqgEOtaV2UC4KqiODBjUjXnHR/8UtotJbTiq0PtiogwvuJvo32Dk0IIxMRU r14VQ6sP4xzremzV6lCFyAjEHILsfg7z5PXq1XW7b4AoLUUOsVPH9uS1d3/HvtvNmUqdTmvG9GpB q91qcysZsewVgGpsh3/5yBHrtYHO/G9/5dp5y1stIpr02m1XXbX8kLeffsLBy+bf/sPfPvii7YGT nCOp32hGLIbuhFa7ajNVdQDq1Svq9sBgFUAMectuNdAeWz6O8aWvjI9svNakl1dji23W6Ht1qNWe us1WA3+9dkWrFYiYJm/57sMrPHvrivGBocmxw3XflMH6tdVoh0DDw30rFq+MI2DwWGvKpGrOQRd9 wRi7ZKDFTEyTNz/inyo8e/uqzqSR4XqcqVLw7RsZrF9bRW0QT5rUv3zxijgCArVb1RozpnFRZnKj I7eHl3cfyGGj8IBRYrcLXbgrsNdNs6K+gsKfY3kRNREoaHHSorcE/SxvRg5MslY4MhMzxaiFFM6B uKxEZAaIiDlPKlipJGU+SgyHUIUQKtIXXLj41usCp3gh88NqOCTGJWmIBDBsexsRtBBtTblqkRb/ zc0xIqLFr0BIr37OsZn+w247PQogqwRqbkCJw+klpKVMhP1KdG5XaOPIFHR3YFmAkqN15ogaCEiz UzGm2SswAkiWPWt9Gc0jywye48rqrD7E4KDJgHLMv+jYxCKBr9uLTauoOeFx/GVO7/VkJsSQ1hFS 2pya5I6YGJEqyFzX+YlLefTPtoFRjrq6rVbpUrBu++q7SAZE9vS8DiS6l5C4E2TDIDAzaZRPbvsM Cf4dwCuDi2fyXN/QZIoARkgvjEotkTHNlKIcoue7fXJ9pp+sEZd5k7/Z9eJuzVCr34qyVBOYGw2Y dRZK3Y1Zvgv3RegqVMuf9703w5nuDqDJjPtWtONuET774j8VF6LnoA3Knadyl5H/mycgRO/sXWXZ FG2AxG5bWMqa6woBmVO69R2AtL+AxgaWRCmq9IgBWUC7GFIxqi4tYcW/5unezWdeKPEM1uEzmdH1 1Cr73Swt21O+pheJxXnyxu8Js+GS0WIOK1dvrQyRdjcSxuauybXniwaODnMi7DZ5EBFT8US52W+D Ic2rnMnl1roYycUH37lpO2v5gxs3F5tHkFWGtJkJDbRX945eav4ufTVsFc7t6qMr3j5TdKJho4M+ /T8Nh5kZFJJDSK+3dZotkqOyZ+Wk7evTdKS9HKuzOI0xJsDJQk6JG1Se7iryu/vZFsfnkywMdF+d FhqOdSf9VF6QQx3dIcRvE8PSfSK4K9DUZuXxft0ZIbPGd6zX9Rxj88fiMmtMLSfvS/B/sffe8ZZV 1eH4Wnvf+/q8N2/6wABSFbAAakzsvcQeRGLEEjWaWBDURCPGGDV+NZrEJLbEiDoiqERBBBFGwYIN VGpAep0ZYJj+5rV7zl7fP1bZa597h+jX+Mnv+/uepczcufecvddae/XdqP/9PsXKTPEEqH4bT/pt 5QDrVqKJe3lGXxd2DCIXESg18CEQDg1IC3JnxXdUYpCZ7/+d37Jpiqb4F6JrnFRdgdyqMybZSjZM gymU5+neTPEgBprX8K9kd1kgT8XoSQbAsqGUZS+bu7UKKwGQRmh+rFDvWdd/ioFywqjD64YKm1xE Rd2T4hDy1hpJibGmijzEBasoDgyQ91irWlOecyfi0/ksCSI3ZKgN8VuF+yEdTflZcpsAUHMPkEjW UCnbteHcIB+OUycKmEjrg4G/tXdc7KwD51yQzZHufaopGwGTWeU2mr0R60a+GTOM+f18nhMpP4Qs vpyG+ZQSu6Z804vDiOjZz33BYx77BC/3l1/+i498+INPfvLTskBAoUys9eBEAuU4aU+pkNA8HpoL 9+iGS06MwtKXFzA7O0NEU1NLEaDX6xHR8PAwAMzPzxHR6OhogSUW7rZhUxAgINZjxxz/vpOPvPDk t128A0dHtdvxB/zBi/e/4kMXb+vAEMtEX3BQgL+JpPgxx6uDrKJNzaXxh//RB956xAUnv/XiHTgy 2iGampxocst1Nzzz/fecsu6Uk05d/1badtW537pm1+F370wiKtjhywABcSjtXojTAHDEAZNT492B PFVE8aQXHvr+067t1QQAXZoBxGRJYcBut+NIrIJktkmlnUI39hagOw4HP2jF7s07ts/NVQsr/vma 90294OArew/4+M0PrWbnH3rAXJi7ddeV8wmHB6oGgAsoiGB0erLesZUmEDB2hxd3bF+c2ndJbxa6 y4457k/f8PTDVoWFqrtmXfd2pBS2XPCSP9n+tjefcv4bd397/akf/OZ99y6QbxPHVyzrHvres899 FwEAdkfo+nEMRECLWzbPd8ZXuYc7S5/4+m+99YEjALNX/P0L3n7lvUNLMm5Im7/3zRvf8LwnTrzv h095dOfCd90UVsvQ3w/OnZEEU896w4vWnvOON9w+EaaGoSqy8uIDjPYTWHAGend/6e0vPvWORQCq ZueqMRj3jWSKwvjKfqrjr8Bk7IyM4uZPnjv7zVfCJ//yx7NTD+rb4v/fDZTEYmsZmkjKKLt27frI Rz48NDQ0NDTU6/W+852L7aWnPPlJkjnysU1U8SJUNicB3TGOCJ1OoNltc9UNX//rj1y6R8oZKdHk 9EoAkO1DdmhCOeOXCBLp1nSNX8yrIgHqoURsgHdNP+9PnjZ68Uf/13c392D/4095476xE1Cu7bSI vd7x/X9878+7ATD1dnficBcAESfGu72dl5336R+dv8+TXva6Vz/17vesv6umhAFSXVNKcWhyJCKY h8lToIhAwJobQgyRYjcCEsrVChIPhABp5p49E+umh2657twvXfbSV53wmvktV5/3sbOOedGfvu2x m777xS9thiXTUANib+OX/vrLa0466finbj79hxtToLkdc/GA8S4QJAQYWjLCVxVWM1vmqhvOe99H L9tjE7S0bM0axN7mM9/z5TUnv/nYJ9371Z9sisjLmhEB5nfOxX0nxDIFbcq8gg8y5IOv1xBo9dSF cb4Gat+SpuM+ckb1OdYfe3mSyplFbejDUw4Igi3XzcEUIWCCgJKeczOQKCGhTgIj2hVyAEDAF8YC 8a4tR5z4RtT9DoDA667zUWLOK0jE6ERSSNEfwdYMFSlZdo6icd7POOoxBKSkt0yqNuUwh6VZdMfO D7NgDbXanmNVi9tCiFaAJgBMmrFpWGWcIx0gxd4oTACMm60KLyw/UeJzIWTtLQEgBJlHsFXMEkKR lmx1XYOKkh0YSAUfM8vdPyySg9AIojVQI0bbhYBFjqlEE+QjNSkBXwVMRMSWjRISAiRiGhPoNImv DBumch08Ql6fCBoV5mKcVPDdMhjbikqIyPMkjaNPQcdKrWZwMS7rkuePnx3J3PLBpfHBBkKGhBLI mm8bZQ1CNdEvZ0EMc3DNFl/aOgpFw80BOC0h9zLlr6WtMrorQYNSoy+/SWVsZ8LW1xqVdFlRQ6nw r5Skqgb6nKfhyF2x1vpDWXlBmfy9E1gyZtDvecQRgFS62AwXxyxyI0FnMjJC1GgQSr1TY2PzZ8V/ 3og43hgPtS119vbzAG71Ebr3kbffC4HcC5OKn83ZmInQKUIh2hxXkRqIlPRj5dh0fyMJhSR57WzI 5N5KPWIac8WcAJw16hM874Ic3f1tD8Q0Wwx2Sdl4Ks/twoCiT59Gl50gZEOfs22RW0OQ/9A5MCgO 5egjBvrHI5cUQTvqBxzINI1asoszVqBacFIfisVIikKbNlrzZt/zo3vPwktCFRvM1aEsBgMLr2Sa ZvGD+1UZLQUrMROYOe3IAR8wUYNVpUmmYgwLn6W/anFWyeHvc7Okcu1koujI5tjBjZLnF0Igdvr9 Nq+hRoU89Rl4R6R5S3+cdNNUmskQYSUsnxlgEhoShpSZ7Nz2XpBqTHsNUGPU4/2x7EaHws0FF+0M Mm3ofsuPYIGEd4ludsjRUnSk38m4kn1HoMekl62WAslapuLeNwFBLkKlBpKIwkCSEKdUfqNS3m4O gBMm7Psamk9yIdZ0sAxMsnPNZGqaUBgQGyrHcwmkJTXScrUTNAK94kNcrtoDRcY7YSDxIzIeeaxZ iAonbcsd1K1jbs7ZNBNhAomowYIAokRJisca7PcLE7fuh4AIEORSmhD8G5hSItB9sdJhLvOqROq1 C4IYIWAAXe6mE9Fa7VDKDHF5LZtVl+uaSSlEqBh2nSNQ1XeDk5/WrC4Xb8tgWwsbCBaFYcAEgVdr JdDyibfmRHT66V84//xvAcCBDzjwb977t7ffftv6z392cnLCRkxQkC7FEJlls8VRZaE517kbBWi3 skWSdXSq2n+ZIcP09LKU0rZtWwFwamoqpbRj5w4AGB0dTSnt3r07j3cefPNNmQ7WpGrs6OPf+45H X/oXb/n89TQ+bvqxOPG7r35ab8PJP57tDg1QXEY+EVGIvD8cOktWTsTiER3RhmUvjQnnvfX40X/4 /r989E/ffvLnfwljE2C6XXgRZxERukOweM3n3/FHn0qJUvfwPz3jBb/86h290AFKBNRB0VgaqzZy AXq/FaMDGZoRI1r/7du5+gwAo4t3NXztSIevBBW7GgMiQmWXEFKa647umam6I7hy7Vy1OyxbE8Po wsjQwn/ecc9BV9y6fXTV6uH73v3si9O2etttu25ZmAIaPMaKUAJK1Y67d8SHrxkDqBIAjq5YNrTr 6p1VwkOe+6k/nf7nl7zqM9fPDh355u+fdgRQGlkytXDXZae85psffODz/+0z7zjlxlefdPUYaVMA 0Ntx9475q9/19NedvTWzdmK/A9nelPgs3v7ltzzh/GHEkBa2z3XWxK6czsy4xT3/uf661/zZEx94 4JN755y0qe7uL7/uHWeIMPWoF/3lfhv+9M+vrycPASsoD/qABwwg0GGYAKC3e8ssTi4AQHcyjHQg uUYcRQOpXnbANI/6/SKcwj6Pe/8fVBdchC895fnnvfs/76I8CfFbAUpAENTrsxazd4kxDA8P8y91 XT/qUb9jL42OjIC5EIIYQoxRjiwgAIBupxNjBDE10N2uiCX+AAAgAElEQVT5ix9teeLvP/uY9PM7 d8VJHJ8Mm2/YOG8Oihdhms/NnkeYyiY5QVKLrmG7ORcAwBA6i2FsOM0s1mHfAw6eeNQxS+M9hZ/T PpaPI0AFCLE7wkfRhhjnRtYeMnLvjiUj98zeu3UhrktVB3Zt2jN2xIP2G71s+5bhI5/1sPGwFVJS f0Ggl8gD0PzMfBhbPd25Yw8gxihRJyLI5QgAGGBo51VXhBMeteaSLZtuvvBf33derxoe7gb85d// eL7bjUuXTnR56pLq3uzMvRd/dsOD3/K8R/zyMz/aBtuuumrmCb/38H3uuGLnrokjn/OQkbgJiKi7 6/If3/f4ZzzzYdUvNu7Aie7k8u6WmzdWAFRXc7Pbf7B+wxEnPvNhvzzj8p17OgEAMGBn19VXzTzm UUevvvOq+e3jR/z+Q4bjJgCAHq049GlPPPiGr1x0G9XK/wpWHPaMJx/0yy9vuLmaW/nkFz528dpz v39zPb3q8c999K5zLrxqblFFImcQoG49+yp+gAAkE0OTNyk9iw/39g8kuJSwNmhgpZLRF/4CcjDK K6A1L5T6n46+yHcA5GWuLGPmtqG4nQdQb1IGKGpJGQcL/iCHOCbDqPFtLqZLrECuX/UwvnXEADwZ b0EbQJ7DRr0hWAM9ypzJa/b06jy0iFQf0C1s2qDx0TlxDWVzvml8ItAzXlGeckFqkQlZnMwXVIaI fHI6BnQBjP6psZtzxuQbyoNPNlzZd7vuQJeg5FVzjhILz/NshkqG1P4JLSRMBCjLM4gIsEbiGS1x zRpQWf8o7TmDw9Vn4ZOtYhS5B+VYjg5zdOvi7YyxD5BQbu4OPJeQEADknlVIlKTI72o/aixzxad/ AsQmHlDl1y5FZB1WC80Zm7eseXBkIEXKNKfIYu4/oA6D/ZP8r3mAhTNlhOd4kRvMIbQ3/giDX/Z2 AMpn/OOmncU3vjil6VpR0ecnLW6HsihT9Onn+uwr+0K/xeIBU3zpRnnsZXAwxwr6MzKo77t/5YYK 3hRRP+bqDuZKGIITNXKcsLQNAHKtQbngjWYuCZey1k+hto+e/j4w4+lHqc+8e775cv5A2Ftn2Tcp YcU7oOroxTzbdXvKkdmnr2hZK2ZTnk26M4TNvm2gXVNNUwmuYU8VZtvGJhCkAstZPlFjCZEnzBvl hjg5xfXderXmUm/GOtdm+gehWZjzxsBxoMkYdnfyoW9/hBM7lmB3pzrmVmzPGJVkFh3rzzYxB010 mwg6cwklbq76XBhl0TXWMCp45X3sXjhR4HT/diQPXxN/GVrvwT2raAAeBWkkG4DEu8oZcBZmAQCv JygQh6ZzK3/HYvRRp+MbrxWvUIn8IDM+6DvQODTTKJtIiDwO2ehS2aHdRwFuTBt2wLG0yYYB7oyy q2joDjoGgcq08YVjSWcW5Uk/p+G9LTS03LVFVBa91QDr8SVqohFyTOF7VV/j7V6JFjRecQixK+6b Ff4vXGU2j8obM4KN4KJhN6V6V8z8mNHWp/r8m9oHCbPzxDdyoMqJQ+ahEomohVNt1sgvlZkk9VKK sguiAZFIgaOaXfPoks0l/1yWLx4feca6BUTg5J+PXmYyMeiGStsc1NQ/OxeSqwd2Cx/KuwB6aqaV 9rjErWukxTEKWp7pqPSDLCrTbYVcvXZhBbk/rcitg4sIAMGV322tExX9ZilmG6ibqFyArmOqBo/A DqnWm4SdgdJQQ9LlgIEwETftDQHR5OTEw485CgCe89wX3nvvvR/72D+tXbt648bbJCt0YulBM2vQ ge+vHUs3xfcoSZZtiENEPsNW6O5zkfzFMcc8gohuvPEGAHjAgQcR0Z133EFAK1asIKIdO3bk/qwr /cMGiB1TPXbUi9/7zsf94pS3r79haNmyRJTqXq8HAJ3lzzjh4Zu++OpbEg4HHQqVbuVAqLbetG3i uMc/aOq2W7cvf+wJT1ka7yp4QzA0uWrZ0K57ty0kfc+oykpajx314vef8rifn/IXn79+aHo5AKR6 Ybbe72knvuaBP/nwp3+yuzJviMopgEQwNNwdHh6iiUN+54R3Hr/n9JOumk/dcX62A4A80TA1d+32 4QfrW3uF7TOLf/XZaz5xzs32zfTitSCGgDfRwe45Gz+aHA2IgCHIJYSUgNJt46tW3XDfgVSv3L+7 5rCharG+8qfUW5gA2PVaev5R3cv+7KlbJ+ar2R2zN5y34r5l++61AK2xCVBKd//kzFv/4I//4KAf n7l72+iBL3v5wXed95E7aASGJsbqma3zw0sPesTvvPhJa4e2AEGYXHbUMvrlyMTMjnvvnA2r0x6k +fv24PKDV4z+kGbqHt39o/+484Unvf4pd3zl7jtpYvWa6XjHtTdX5moKfCamV80yJiMTodOVX3V3 29AIffeMaz7w9+844JefeO59YzCcrJG94Dycxo54z5v2Oe+t77x2dN8AlvDzW40PMIhAh6GiETvd PO8xoLUEAAOpvjP9Cgjjshe/7djlZ510wsfhbV/76Huf9KbXfSf17keMfnOw9cVs4aIGhESkhWki QgwjI8OW3GKQhdIAgAjdoQgYoMZU1YAQI3aGos5GEoYwNbbjh585deS4Fx33phXDQAubLjnr1Gs2 BfMnbhRK8N4vmas0Q0pY1SnqtCcGpFvO/eatr3zO2/8Rd99xxYZvXrP7GD3PCZCXlBJQgm6MFl3F bggxpkR7Rh72uFc+dr8xhGrHxp9/8axbFofGt/70Py48/KUn/clj6j0bL71ww81HHA16fZfyCIAI Ypi//ls/2PLKt73ukXf/9JMfuKC3llGKPGsEBAAhhsnx+y760uWvf+XrnvXdb/zspi3bF1NF4xNr D14784ubtyMhEhGbEURcNnbfxV/c8NAT//jx13/4vLlN3/z0OUtf8eY3Ph1n77r0ou/dccShRKme Gt12yWdOHX7Rsce+gRn7w69/7kroSAsrJrd+/0vffsjrX/mYW//h3C0BAQLCRHfzBZ85b/qEE1/3 VJi967KLvrfxiEMBgPYsdlcddPA+dxMlnjsFBJhdHFp10CH7bIaUaM/Q2kMOxVvqCxYWly/Z/9AD t47QL3ZDp8N8JLJtkZRrF26qX0y585Bs5bhwxtfWaUiK9qw6c4m0fOwk7eiViQGFgaRDw46eFxNH lhrM3UpVGVIZkCUlQKrPXDDlUba6J7/rgnNErlwnUYvAYXqwCFtI9iFA4R403pBoiwggh1JQTKFo HJqXHHBkYwdzC80gy7HQ5QI2z0MS/2qhXraygQ2d8hgk+gFDTt+wyjNCrkHnlW/Ep3JTDARQQ4IY 5KhuPkaliG0MC7J2PKNyxVODIve7rz/YIneRX11jBUiyLE+icV/rUEZpUM/r6qU/Ah7VxAdbA0Co AJQI0AOsAYC9c44FLbRCGV4WYNS1Emo/yuozC2dyoTzLMYtAJBEK4zNydRtliRGRTmhb/kOolQmx Vp7wLHzAobYG8k48XXIle/nyvy0z0HVVIlheqYyXOVIU+TXxZuyk6pgfQqcy1qDFxeilQETCKxU2 /kHqsPsDMzNOJv6NY2mUIdkESMCMlidohwQlXh5tNDzRNdr/XJniyKc+OW/QoPjoZ+ObV5ZB/aEG nWT9l7zEAtNc41apZekmJQiRXY1RWGibSw0QUjLLZH5Vv7Hns3Lkcg3qo1Q+qz5DRpMG1qEbdQcd U/mFVIb9r4DlFoemVCqtzVyo/ErU3yh0TtGzpyHIZUekh5rIxCpiyl1LtqxWEfOqddd2qaFm2ymT gepzBGVHsWJBiD7FIXUCBAiBctzcRN8ozr0TGFuaXNcm3PtZHKzhLPNYEJvnGMVhgdkcrx2ZIE+O /JkPsmq8ICxScyqS7naRZ+oy7uBFAqWMwmGPqS8i+oJjAxwnjKg8gGrr0bZOytQ4IB/3NKBBw7Fg CeeiVs0Qq5flQhvvs5Nlzd+Nv5om2zCkWlZaJ7+s2Bsbtmmi93ZqjQVYISRJjXOHbDHQ/GCTh16H y2Eq3Hj5s3glc9ceW6M+h3NZt/rIIoAy0nGG1X0tJimHFgMQ1hDV6YM+hGpx1XiRGE5d+gxqWG3+ okm93DwhePf7EJBdZ5j5rs24qUNE9jRKU1+FhOXXavAFw8CLI0B2KF4v96YzTvGdRJecQnUnxoTC RoG65ewLy/gC8nc8FmZ4/XRz9n3Fa9DHXCfFGJACYu1oRZR7Udg8F5zMMQLv7/QS5r2MWIskEa4S bWmth349FxEWd2MZUqbc1KPpKJEAZI8pVxZQrEpKFPwuQR0sdAY+ZzI65FqI4MXOWr62u1Yt3uZ8 UI22MTKPpxWuQfRBEz6OCZLGjkVOp43LkY0k9gbNMKEWBgsfayTwWiA1UYwdZtz8ZUPEt9kDQQCg YJdxAQBQIkCAECTldZGRihAQySm+PDRWHV65avWa1Ws/9HcfWLVyRYwB9ScfB6iPkJg9ibbIsO9l 8TLWdZ3/wcTy9tc8Hph0+vbIww8DgFf/yWtPPvmtWcQIEtHOnTu+e/F3COjxj3/i3NzctddeTQSH HHLY/Pz8xo13OYFsmpSsTASEoT7yFS87ZAIO+afTXyw/7P7Gq17zqbt2DT/sFcdOXfbB87d1hpX5 5BvhaKYLG8/+0PpHvfcTp72o3nHDtz73+Ssf+WRRIn5wbvSxHzj1pJk/f9aHfjmk76N6Yg4HEAjr B7/yZYcsgUP++UvHZzSO/9TEQUc/4sjbuzJ+DW+FSPXQ2j/77L8+bxXObf7Pb69/64lnbwxjUV1G J0kyCUvnr+nWT+/FpZfftL2qUyfmE/AY9sxXn/rGzR8+8/p7ti/Yl9165+Ts1YmAE3xWqm7Xn+BR 820jaNfmEX1n5eHLr70QbxiZWDYSI4bu4jFPjbdu79y3a/50XL//qt70woqt19bX/ah3b5z78bJD 9hbVKIeIiIaG93zyjX8z+bd/ft7X1wz3tvzirA/+yal39qYPmrns1I9e/lcf/ua5tPXGr33qtIu3 PAmIqiUPP+XDLzhiMqT5LVee+5G/uGwRx+a//bGzXv0Pn7zkebd/9lWv/Id04Mdf/56R97zpjK+t GwPa8ctz3nHi927Cg1SYC3xC7JZYiUaK5gfcecV5P5h95OqvXHTP8FK1drB3nA9d9uhnP2Xpql0f Of0ZhACzPzzltW+/ZbkFV+UH2jWIQMPQPnnr3NeI4Dw0PNtP9R1hGnTg9oLwYWue+vK3rtrwqn+/ KUzt949/vWHDx99y7OUfOGPr+MBR+2+BoIPP2+JjDMpzXvYndijGYNtb3LgQEITINSUMiEAJEUPE EKDa+B9/+9bexPjwsmnoduPqcPv317/nO726rqnbjRPjw9C77atvf33AsHblKBFh75az33kiAK5e MYKweMu/n/gWgpXTk5Fg/qp/OOkqWrViOuIdX/vLN2KE6elbzjrlDRjCmlVdxLTrkr9524/i6tXT S0e2/Oiz775ofiEEiDFUP7hoyeRoN9561jvfgIj7rBqlRInsiH0KATudSESJqs7tX/nnvzojUUKE 0dGh6enxGHBi+4Z/f//XFxfrbqez2Ku+dxGsWrHUfAUu3HrWO98UAq5dM9LddPZH33kGJRobGx4Z ufWsU97Y6YSDDgKg3q5L3vu2S3DVqqUjQ3HJzg0f+5cbH/Pkpzzt0fssHYqI1ew9N/7snB8RjLEc 4eJtZ53yJgy4bt+x8Z3f/tDJZ6VEq1Ysndzz4y/93XdOq6uhoc78Qu8758O++0wPBVzVveW7n33P hl6dCIaGhpYsGcHebd94z5tjDAccMDa5+zv/+I6zAXB6afWNvzkJCfZZMz4189Mz/u6i9VU9NNRd XOxddD6sWb1iDG8/86/ePNTtrl61TPkDo3j7me86sdOJK5dPwXX/+hdvmV82PTk0tP0n//DmHxOs Xb2iEZ7nGMF+cPpS1jHUe2uKpL60GXiKsEGzwEQ5mef8jcuyvAgaEAiJeCIZCX0sQ8Qu1pbRyGgm rs9qg0G8JYJUm0jzCI0xpDIOeqF8qilxlJMIAyBRoIbJ1RjHF3uk+ONDbcnVLBK2AJqJKBbLARnh ACB1TsfCRg0iI8BK7s6vJH2zyD4DBsooyy4/i3O5Est9EhDKuRwSWCWCQFKnjcrNAezIyUP21r7w JAGMvtafgXnQGNY/pRnXABeIJnLcR0BJcFHjW9mWIDNgtRZKQ8gX9FllW8oLNu/C40ya3GkaqE6e hc0lb8ClZ193RZU7I0MZgwB84YolHIgs7TngltGRhpJmmsZe+VMWWOgINANlYC3I4pNTfyWS5F3S KXTQUcsROxZ5DJZJiyqxhY2NoZIKk/sarWcJ9ku7QY2XB9V7C+zBCaL1Ya2i0ibfNxorN9M2UPSp hWCM5QfaC3IOTcT8WFbuvalBSQPl4voANhRtWj1KIl9EDXMJQLOPJp2QJdhUVcvRVhbWPRRlIZn0 WcceNyRWN7QJOtGkfgY5KkTN+lb+enr7Xs1iNKB9NbuUn/VvFS2TKrxas+bDrg0CQsqTt9lsZNMn xsjel3MqLTEVNTf1zfMjHjNnUigz1ZGCznUX2EPxsWBZoW+FHWW76WuMZALRaBfK5frWQTGgTjqL xbTo8bIlxZl9SjrmXcQZo7w1pJQptCZK1QAAO1jH3FZ+uAkS1Wi7VpM07R1k5MRiUj/LXR8W+zjL Z1Ze/yO1yn1VJepr0P6Vzf9Ag6RTVXst9/kCvL1D2Svknwd0bn+7t4snvRlX6RfqI8aUT8LN4yb5 PFKTLMrIGm3kpWcAFDZ+L5Z0MGOULqsED9DRsiM9PUCiNRH7/jpL2TmZXIn9tt+sN6dLFnxAQTO6 /zNDtLSWn1Kr0aBPrVG2XyRjQByC2fOUzT7lpnJ7QjL1sVnjl2zP/ov5Gm0c/fdU9NY3VWkTRf0G 372mut/UGG/kvI0j33SDlX76vSmXgeelAK1pmWiCHLulHGainZ6nKHhfoU5KI1D9hVTgGDDksQAb Smu1WHhLfkuKIzr/7kmW1QCUADAJO9ju+F2llNFlEiVDdstopFCh53gSYggUpIecUvbVmlSYyXHT IetGIWm5Q4cYFS9SLKWanmUATbqztoO39c7xIvIuW8iVdNtggYDBDsgkHWl+PYTEK7qJSNUrpQSI tvSv0bWsPpY3SBeeH33UI/7lY/80MtztdGLizFnyElLxUlqs9ONIAICHH/1Q7Q73WbvyD19ywmte +2dQroDecNElAPDF0z73xdM+J/KaSKdHEJD23WcVAp755dOJ6KST3qLsom+c8/Xvfe/7vYXZIx/8 kMOPOPKCb52/uLA4sWTiwQ956JVXXKFJgQxNw06Udpy2n/fyx5wfNEySosKK5dO777no3U+/cHio OzW5RN+DOlEIIa562CNXzW/avKeCTuxgdcNnT3zuJ+q67nQ6vao64wuwbHoKe9f8/bMeg4gTjzxm v93f/+B1i4RdQGdmYfGmjz7nSQgrli2NSNvPffnvnceWj1TjYGpqyf969u91O3HZ9BTIdp/ejR99 9hMBli9bGgEwLFz9/mc9+v3Q6cRutzM2Oma1ZQTEo488GCTTou3DD7l16UsA8N0nHPHuE47g/fhV na6+defpF93x+Qtv37Izl56Z4AN2njE1dxUlzR2ZqYSmhIjY6cYQcPFBL0+zW6FaoGoRqFq+e8vz bv/JuomxQx6SxidmECaHhnYPh2p2YSp2dnWWdLfeO3rlFfOnLzly4+RBsBfYdc+tvbmZkSXT48vX AUC1OD+7bVNvfk/sdLujS8am12CIdbW45767evN7MIQQu3VvYWzpSiJa2LMjVVWIcWh0cmzZWgxx fvfW2e13U0rD41MTK/eve/N7tm2uFmYppc7Q8OjUagKa2XInhrBs/yP3hpJB3ZvfsfFGAFj+gIcs zu7afe/tsTu8dN/D5ndv3bN1kzUyEOett13daG1i5X7c9fjyfRsfpvY5tJ/A0aVr+tGw1hb27Gg0 YhT1U90dndh2x7UAsHTdA2NnqB/hxdldM/fdBQBL9z00dkfmdtwzu+NeAJje70GN0vx/I8Tlh4Rr P4eA3U4MIYQYrrnuthNOeNlpp33R1NkccePdl770paedtv6ohx2AAAgh1QkTxE7AiABUUw0ERIAh xE6IAQmSJJJEVZXm51K1SAEwYggxhBgJ0a5AresaSF0PACKOjI4QUFX1MBIGwhAoEQANdSMGxBCJ gi6aT0Q1QtIQDqseF5aREqSUZOIRKQYMIdQp1SmFgN3hDgYi9QBEhBiIoK6BkiBTV2k2HPGik19A n37X+bvGQfwEhAgYEYi0HAmdTuh0IjfDU3lAgAF7vd7u3XPzc9XiYs3LQoeHOmNjw1zqtPwkdiIQ 1lVNNSCGTjfEDgReyU8JAAI7J6I6JQQMoYPiHZnAFEIEwEQUQkQIKVFVpbpHiDFglBMaZBJby16W fEjAQpQopTqlxGuNeRZTPmiU5dwvhSCHNeuSMcrunE9ewBycElFNqaqrqupVVcVRLt82aOE9Bggh dDrdTuwABnaESW/CZDeS6ponofn2XEQILFMhyhkaFqsBEEGdUq/qVVVd1TWSX06jh6EHDCHGTmQe ksxxE8hBxsGfYsGHz6SUSFevo8xWy0nHPu8l9axStdVagltWyrFIElFKSWM1dQU2ZBbS6XoOpVTY x2qrMbIGifIQpBy68aymoSmhnI5ZICtWa2hjYVsMfEp20C18pJzkdc6pV1d1XSOAHmdiPDaQsMaZ GC2hmwmyooa+IcwhXeigsauC+GabHDRh4XDREnJJikWuMXCsz5oBCYgSQU1Q11QnPohDmMRiEMSU KIqiwDmclhDadAVYmkDYziqDMWAMGICvTKE6JeWkhLPCHBYqkQKCgBgx8oDzNd6sBMIeeR6Du0LT BMkjhIB6gr8KQY7rJOb0YbnIrJTN8uhJmTBPZIQs4GDCpZZCjYPG7QRyRJqde17GkyogSdMk55FM xktA/zGnWo2HGnlC89X+bL/RxF46b7ySHylE27PZf7QXm//Kb1ui10dSA9ec9oINhBoKZrl9JWLn 6NFNCSI/ZnnyIg3UdI7HPWTp0i4tfuAPokmpVlkdMNL9ZKAv9xkpfqKn+TbBoI8D285s6Yd+WzXg x7LUndfeFi/axzzLUrSDzW/QDw66mgtiQJOXXERy9tFMQdbgfrrNJZoVBFEIKl/Jny37zFNL/k/2 X4n0hl+vdeo0HOVuX7Ia4waCmR1GO+RKuXi2bE/JNE3HVOOcPMjWPD+Lg8WD1DUYgZD3JmucJ2Tl 0nvuGgjyQrwMwTwzAIAc46ehB2jcQ7XUVHJr/WZIsApgNtmJCzAvOIxIcoU9Om4bWwv0tAib6TEd tp3xFn0ZctyoNdHHTxE1jXxE5DSCgqKdjKa86gywM7UI4ncBASBgAAQCKpbvaRMG/gcjruBHw/X0 TYt5VO4HCnUB8GVU77ka1t3MLHguigS5YGjvIttoy+sJQJ5DVjOmHt24Ke2HqFEzAKVUJ0pSBQ0S rGaNbjACAWwnnIkOm/u6qiuOvlCsljmdXJcWFMxluDFoRIWQbYa3VE4QRXa1iuL9RomwN5DuKQKe Eh9gPAvDhxYXZqEyT+FK7t4T5+9KRFR17WtKdarrVC3WqSYCCAFjJ3Y6MXYiIkBKdVXXvbrm8mHA GEMMIXsAALDJPwBLv3iYOzF2OjHGKNuakwWQdnafd+COzfmjhdJFJI+Zy8YcGetk/yNdyk18PAaG IEdiBj7GE5FSvdjrLS72kjhBu2+KiFKqqa5rogQBZMtqkHpuVdXmYMiLEmYroMKAmRKNaVVxNOgH YZoFIUpuEYsi++bs4HO8JMGutc2UxBAC7+Imc9s8XhiYWJvxzIuvNZOpk/NC+oqZVVIEmA4ycojg nHO/+6pXHvfMZz1/cbG6867bJ5dMMG4/+9lPP7f+K8951hMdvwDs2iRzZ1QoomMe7J6ZffHxLz3p 5LdACZ/4xMfOOGP90skJfsuyMBKLwLVP2D2z50XHveTNJ538zKc9gRut6zrGeNzxf/TKP37Ny094 ydb77nn+C1/0+jec+KEP/u13NlyQO8ij2m8bEZDLCJH35hOlqk4+G2zMqs6see1p/3rcvp1q0wXv +/O/+/aukTGA3LrZEFUuIOiMvfAT/7jk3a//zJ2p2zVDQCZT6qT5B174X+ueaTP+piMlDTh4qYk6 x45oNVJAnF64eveeA+4bf8x7T7v29IvueNjBU4tV+tn12zdvm+9vAQBWzl+6dP4qxiGBVKlQ55mZ xKA3atmJw/z/rRMrvrz88Bfcd1115ci6/UenluPiDM4Nd6EzO7dt4vofLkKMn4CD9yw5cCD+DJOr HqD0EAB0usOTqw8s6aQYu80vAQBgTEu09uTIxLKRiWX5xc5wbl9h+IAp6+7+IXaGlx/wYH54aHSJ fc697B1neXhg14M+DCBQMfRo5KbGppqNuOf7qc74EPUjPDy+dHh8qT0wOrVqdMpf0vjbAUoxhADg K2ozMzOveMXL7ZFBdgYAYMf27aDumSARUIwhxAAB61TxUyEGLmwDEFekQ8AculhwovsDiWcuNbpB 0CN4A6ZUJ0gYCAMBEiJhBMSQiKgmqnj1Za6jcI4bYiDdUMPlGfZiMQrBRIQBIiAEzowlSOWQj5c9 psQFaEQMuw96zbv/8ICF//zK5zYTjIGQYkduqcomorrmciTPVlJKEEOMAaEbl05O1ONANZArNAJA QOSyYAiBsymJ9iAJi0kcPfIZr2ytEtWJYqeW+xiJiC9MI+CCLFEIARLxAdYAstrXyomavRWhFzdt Eb/LmdQRuhArDxlprM3hvgyqufgi49Dyg32RLPyyXMO5PT5bEl1PoHEwBkCKQBCAUq3umRASBAh6 /5vuE+R93xqaKJYSSBJgXuyP2enzbApopYWbkoo3MU9kx5QFvqhrWIAzEAAQCy/tK2c1gM3fG3N8 IUB1hmvQsk7WhVecpQgOLCeW54kOAAAli4Vt3BKwI1cAACAASURBVIKc86tSTJYyuVq/YgY6ppon gIY2qMtd+B5SJMKi+EqggmTkivwwAwi05OoyBj/Mnj/KEhffgwoP6LmxmlSQhH7ka/eKB/ouEPNJ k/aCKLn2jIhlXVKVSaN1kvV/Mlj6eI4/uTFTKiJKfKxRogQSVAY0qtgkAZGWBvU0cFUey2wQ+Nol K/pCyKtmmcnOmYgYi3yIRealCUURIA9zjrqAg5GiBEh+bNyBO2y28kDlqhiRL69Lo5o4ctdOUECN QgFaSdJJEMvkyD/jMkAPA1cul8TnfN9tbc/f6XoRGFAkyiMMAL7waPUXr/plVd0hXxLilmv1P43u reJXUmunC27NrgFlSbN0xobMDDeylKds3KmM+hHU+XLeLvKmEqDOni0eJgzOrjjvM4gDBf3uA2X8 B71IjX80DYjZGDTECwywfM9qDf2dlELULKWWgJnLkIlAYWHu0ZtNsUwmMZB5z54o4whAACkg1uZb s4bq6/Koxi1mhzW3okLqijebNaP8jIpQYWCpQZbdgtZUx8LDODHWZtSx5k36+jtJzm6ukpQjYp4Q bamVcNO7Bt9d7s1P8hCHeLz+1FUSRPNVGfUoDXKGomShMMIiJLAGhH711R4bEU21bm6gm7xix5PP 9oBsM42z5ag2sFSVV4TMjbrBcjYqB3sOj4Y+2C/mFZThDbPm/uH1majBDyAdT3El6rHtKYmbveL6 jnRJX2OZorWP+R1qDkaJcJZ5fsOPhFtVryYua36hl/pvs7SZN6qeanPRJgwKtAZazf7hdaqU9ZdT jLxdgQAxEfhVAn6xsVmNgn7fBwEPsla0SQM8TY6aEshDQaZzaPRap2b4skDmAE99iH2jrXiLYgy2 v8mcUyGK3HWWBDKzWBhn+4hZQIvwB7VPNexmZ5zU+IhBEWVDr8sjAXO2IQIirqCY40QdnBya+hlb RRDNwOdOnQAZF1CNjb3mbEkBZa3M1SfLUN7JDIlHCLpEqfR2JiQ5sqX8XB5vAOL1ZMQ3WRFgkqU5 zAB35JCNiJssd7gVdDF2RIBZfHSgshWkZIOdGdDUhTymjqoiopIj/EJAzsoJk9NlmQSy4EQRIvK9 ql6RGD6131jik7NABFkEgLtnZu66885ly6a1kE0AYLOVZd6GgBDkYnkiR7fEA8qcJRNjX/nyFwHo xDefbJ1/8pMf/9IZ66e4+pxXkVvbaDgumRj/jzPPGBrqgvKarxP77Kn//oMfXHL35o3Lly9/yR+9 bNu2rRsuvCCUhh+ytGdJzikEsKAIKQGp9ltjCquE9Q3//LLnfHpobudcCksmxt1BFjhwlOtq8bZ/ e9GxIaxYvhRstkWtpWtYTSKUroOgdGJeCpS/GnwWtgoQgDoowXRiu7jvrvOIwtaJ371p08xNm2b6 EM6Yr5q/dN3ub9QEqS7G01wWeIVMIGdAA9kVefd2htePrn3J7ObdN4epjURpAhAAUi/07thdnR5H 5pZPTNz/9YMt/D8LlDohsA1g57Ry5dKzzz5Lf2VD5PNiIluEhbh65RTbZcoLLCTJ5FdTSgEx1XWq U0p1iCERJeDjPSwzRa7LIcYg7jbwqUVW/qGUIBFGvdmVn0Igojrx2Ql85yFJjUUqWqFUdEm0eZEj L19MlAKGJIVfCWJkmjPIgSRWHQOq9vzkQ2+9JA0Pd6en5BZUIoCaInfB7EAMgWvGKQaNrQKGGBKl lFBMLspJWGARN0HSE3aEAEQMBIgEKSWKGIggpRR5ZS5XrOxQHpSj/hABkI8WkUOW6jpxDZ0L06Ru TAIIlzFadpc9r7o9Md5OegxTEvbyrmdrLXswLCcychTtnLe5aZedcPxBlFLCpGf76nBqRzJl4FxI SgkRCIkSUASemSDrRcqQPlMGrn+jLXlCHRepARN/L4uMCPISM5ATGywQdRX3HLRoLOLyf4scMjuh fMuYoMGnejQElI1UWLBR87FclZG1BTlxIAJbnSbCjipAPM3hIjLMvlF2TdnAljm+fJAQJwGBlDJV okysCFz6wO/yvA/n7Zr4kx0rIs9TJtTSN88ypUHC3Yx+UYRhrvrzMMuYhUgWGSdAIqnwUvE4ogoC R482euXKURECdKIvhVLQghOadCUnkTJxVYYjRmCyw2OEfrMdYIPCxRKwBf0aUKjKkORyoHFpNu9g ag0oBt3Tb39jfs5GySTFS5+zGi4SE1xIqy4aM4NmGVkvZHBsyGWfixNS12hmfalOCEkPBSh/yITm JnLojo61/lMm0JXgtaChLLT/8iwWgbsqq6zoDIhrS3pAxBsLFSp4BNjkSmmHwcS0oB60nAyqztK8 lkWxbI7ydmKmQ9evECazmV6JLXHM7GUzhYBso51Z3wsURFH5IO3t0UbArk7HmkH/sSGkjc8mEkUe 0Nez0b03MpqDU8iO1xBNPLhTtSU6HDobKgFY+bophzqC7M4b2Npqxuw4wBjslN5odoGCWVvfaSmA A/lAGqoIGc0HzUaKJc+jRFpELrodwFkzRZx+ipKTznWpHDMCWtUrVdc8VlYsVKuloix6S2oynN0r 5FV1xRlGKOWEy2/SlnfPymQyYciLae3VPEVmKCsGWrzRyKdpNfM/JOpSk1f87V1ByezGqBetZcJ8 h9kzABfa8msIWejle7Mm3ieSunS704oS5Cljhz+UwD+imiZnY3MVySZ5sxvpM8QD2Od6zUg0LEhD RBsWxKmb6QCAf0lnS3xVo4/MLFGy1jw7psagFUR5i5MnF0nMCOQAzFkaZWBjkZI2akYIXDJnTOl3 eEY2NpsqjKbWuhqi7Nx0yRMdbidlTpazKQAT8gYrHZO0acwS1CxJNXiNGm4p2zHTQ33KnN83C4lm XfoPqs92SPUSiJ+TD8oapS+H4q4Vkw82hWrRzJCUfC5wpaxBuSNjq/Op0kqRciEi70jmdWx8kC06 NhOQnX9ofM+Km4jcJhPxDLzZGRwabvm3OFHFyxupTJKzcI3kLJHZDpb75vQUmlhJj6ShrjCB9Bkw FASfgIESkF+iRHZWiDROORkRoo1R2r38yC4DwSYq9JoYntrAXm9xYmLJ2Wd9tdOJ2QAA7bffuoWF BWWAso1sbpWL5lqJdJRn/gEsmRg/88wziOhNJ54EAP/6qU+cccYXJpeM63hoUi82wc+rAxFNjI9+ 8QufHx8fNRkAgPGxsTtuu7nb7Tz/BX8wOTn57ne/Sxes+Qjerxbxppt0fppSShCyq0slr/Vlmpoc TqnC8SWTABLa+iSmTx1iDKtWLMtGBnP6qlqss85slMkpqPAC0SaZCrumww+g5+H5tIoAoKN6hykB 7y9ct/OciYVbNi999mJcCoNgqN65bvb86fmr6jqlmq04CCdNO8xSIxGX+UgzVZAC9PDE0mpo5N/n lo3v2X74np0TtIgAu3Bo+/DkLctWDI9NDg+NUFuAbmEgUAohEiTU1Zr7rF2x37o1sh8cKqIex8M1 1XxgLBEFwE6nIwtFCUDDrkQp1YCAKRtvrKoEwG4GQKxvQKCABBEoSUEUSI6PZe9ix6ByLowRMPAd BbnICwR2NAJQCkGUMyWSGXhnzW3nUXB7VPgPyiuASSqVGjVj4Hq4GiqC1aum0a0iNEJT4OOsmDyu jksMgbrPiCBVVZ1qQl5fgICAVnkKIRARJE3PCTGg7tgkSoSEQCjbatUL8o4dhJCIQtJlkyEgBqIa AQGDnHydgmwABY2QcjyQU6ScCkEObCzO0Fl1H4eB2FNeZER5SaPGZnnNjr7ng0NAgACQwG4kyCEd O3xyIIKq32krulScwwQeeq4HxwQEgYJOd2j6KFudVExVqGybDGiwkzMBB4mSiKiPEECFqF/PXHyS Yx+XXLnXdO2GjE8iHQYtJmLODxT3YiWFyD5pfTzlafHMS+ncjzOpa9FwFPSW5cKTW/GRa/VEIDuJ SZrhznSMkqTOaPlX3tOo7CpCMieKRQjr1lDowHmuWbymI+H/Jv80KXu16ZzGarBBvHybAIhQhkBH DPk6Bj5PJuiit3LkeZxJF1vIqHINnxxiGomRa0C1xlHmn7bW+QTqHCZocqoWzwRGsh+STRQWYBMg 3ythDDaznQnxaTC6HuTq2iyH+rsOoPSbANRmgxthAtmkT1mUbNW4IKdSX0Rj+quygVyHHu38tM3o i3tx6R9kg+TkBcHCzVKXTQzcTy5d9mVcKF8kkx9LAvyb0if0gVcQ15QVbhyrPMF9o5g/irGg/C/5 0/7wL7rF1rlZEVpQZQF2tAgI6gIZL5QWdK7ZBNxjI8OiWRs5vO4PisFzo52bLUnXnjETAy7HMhGw cfciS4Ubs/SYFVstoo2Avlxo+v1SAq6+qLS7alBTFHMZIil+pEMj0kLq6cB96TsVMfJCyMmgmlcn 4fbZfSMhkj3cmJmmvhEklX7u11DKBrrJE+OHPWse2XVUUqV/ZG2TqDBbMjewZk1svLLRcVgbzfaG t3GAJgMZn2xUQeZmSnqVEh0hnZFFHKC5jizrgvXYxx6icc6imbZat4OaKZhnDUhtRZeyGpYsJmbu sXhb5FaVqVQYexL9W41hN+qbSiRIFczxUxGkiXkxBqRVWHVRZu5KAfWdqMg0VteR8VjSB+06P+bt SMHwbG00WnA2ZOAAqp1qMsjaHlTzNdrVrJmrd/j4Ep5zOTL9xOE2OnNk5KCha/rvlsZik1fGILL/ sryr+cmE2nBrqcb5NAKQfTsay9jzTQY5HEsjQVkeXN7QFM3Gp/xoQ/RMe2UZVDkDBCJ1ZgVIxwQB dI1Gv+EzKXI0yWICAMtLSNVMtDCbYMYYTQ6LzgmVWh8ki32w1yn/n5lO0BCzzB6SiLGR81hjZIZY DYekXibhuUcMGCDUsiUWENW15dl9Tv3R9W/ZitkKII1T+zyF9ugbAF8LBC/wRG7s9NJ387BOAs0q GD3YCKLkYPpGhGmffWdgdQMdFZsa1a0p5Cx7VmmQZV8g2Za1iURJag/GBAIE+ML6z33k7z8eY6cx sHVVfX7951yylt/KVGl7OY1rAMKS8bGvffXLQ0NDAPCVL39xcmKMnHnTt3UxSZ+UTUyMiY1QS4QA nW6HAE499TNbt+34/ncvGhkZ0qacqSb7o1BJSesoJUAgu+rM/i6GiFsLvDRTjUlhxqVTZy/MyukO pOaim9yyPGq6o46XGy2NnF8WAA4bNFVCRMCHHX4wr4EGkLsmeZgSxF1jD9kxcuRcd10vTgBAl2bG ehuX966bnL0aqEfEK9oR+UajzIMcPCBC6IQYQ1XXcPhL0/xO6s1TNQ+pag58Cy38OtBZfvDUHV+v Ui3mFaHT6UY+AQwhYZ2oJqqBJ44kQeFzmtySD/VXriSohUJen0uEiJ1OyAfkJ0g11TVRVpYQQkhA RFDXtXSHEAKEAJ0u322IfA4WgRxNC+LVEBADRHFZfN4zAiCkVOewtCYiwhBiDGKmUO5Uq3lZMiAf Ycm+NwSUkzBSqmWNZtC5aPZIrpqEECIBQkAMUU5n5vIUIu+xCSlR1UuQeOES8vkNdVULfvkKe0CE GDGyBRQqE/Jprsxu5WWq+TxozpD53F7oxACINmRESCmY9wCZFXVFXM0LbUWVhk9EiWo+XZb0gGM9 4pmfSGLCEgLw+V1W63ct6cpimTP24QillKq6qquqTjUQhBAtZSMgQggBuzHGGEPohBBZ7PTckryW io8Or/VkLAQIGDoxRH2XZZIfW6wWq17Nu4kQIfDB2HwaFyPKB3RhJEA+BQ8AQoh8KR8A6FxKPgya GWbZly43YB47SZGphzzdyi7HhyiSH0jRMPFrAeSYYuWcXpzo18OQDA4RyLhIoVTGhY+rtjDWVgOQ uiJJRHXcGhZDI0RAOQA6WFaa3MypOlSdsNAvSDMVc6HFegAVHfsbkECODtfX1WO7A6DBouBgs7jF KggJeFI+N41IC368XyHw0eMipoGIQx9MssegtjEU0cCo++eEdkrJZrlN9lVfLCGU6TIbQbLvkimh HAKTlYxDyFxQAABhPoaowy+SpwtJKPAMlvQrSkqW+/LMGp9mntnrUxfUNJQswlZpaEhFf6iFeRxy 6mTTVlRE87z8AzHk462tmKCtK37qZch3aHzL/3Qr4PMvfcJcvO/JKV7by1P+B2w+PPB5a9VWOthq aNR8I7+Z4+eCXBPaonuvRMIn7ENBGYlqgcAs84AiZ3ECjMPRZEwb1ezIdNhIsn5RRtuI1owuEfF9 D269r2eltKvGddCPBXgeUfntXsYPwS0xKcednBzniTC3mhs1WcgDxTlIXr3YGFF9bhDW4LhGAGqO AoqTCfaocRibVGbNIqK6rpIlN33kl8yUYgEWPyra5BEuqw0NbIyQ+9OW/IzKrhn1/KP9TdSkGd1I mW0n52azhVOB9+5gkLI2wdWPvHCoU/UpYx/Kff92bkqRsh9AtVW0UCYslaikHPOlPgSQffrSoL5l jpbIt01F2YJc18WAK9JUWMpiCQH/padyyXvK2cFmtGmpm9VBg1Kq0EV2ewU0tmlnefmmjbJdr0E5 NmtM8arYZIL5b3L0YR/PssHWp9RJ5Wedw1aMfQVJ9ack01XoSr0zuUb9M48LQVOFmhZT4rp8JqHF M8pEq5tiCBhlcp34Vh7Ucxr7PIXQZR1ppbUIwVJKVV3XdaJUUmG8Na4rPhLRFGYFC5qUDCdfvqBv gtb0B/or5O8brsVz3f+CzQezsOQuSvtUdOF0RdYm5T4Kl+lmOwko1am3WPV6NSDy3TSdTpTTLDk7 req6JgK5nATNBugZ0OCYzvxFxBAxxNjpdDqdKLyVFV0pOw4sHB7KdBSpu1HFKhgihLsoBU2AiXhP pvyaKGHATogIUHM6FmKUM6ADAKSUqqqq6lrvP5dhIKI6pcQnLoIFNY7tzoOBmVczFZm/Flk33LT3 reS+ITchnemShjXAUouRnNXJ6ZC4dj6hNMbIWS0JTaTRBaduHAjwSjV3/IUu/rZxsFVAoMZXxRVR F9kgmyDYuWP37t2zKVGD3oA4Pj46OTkOpUiqLikDiPiswKy4Zmj5nwFjDLt3zwLQ1OQEi5Xd/kMk Z5jkbEQREOvkjLVNIzMkotnZ+YnxEfMlNhoFJX3qjJIG5+OMifeVU2a4YUNqlbwrdL7Y9dTv+aCY LtK/ROsyB3K8opRmCc/+wRDwk1yOOQCAnUTERy2auHH5HKlauufypXsuR70PiPtIRHU+dEMOBCCA RCA1ERtq1Rl5+M6Lw7onwPCSPpJbaOHXhomtl2LAQFjzXWeAdaoBAfhKApAb1jjqBr6aDBH0pDvI UZ8onDo8WU+dagnWO4Hr0bqQGKRGlFyUlNSMklwDaqaTd4/wMRlySEXiq/Y4ohJTZMeWIZAc48Ea yaZEr6nhyJHLrxiCxjmAIKW9hHopQEqseWwzhEIAALmsEMynAgABhQAU2ahRjIGp0em2lGrgNb6o CRPVCUTb0WyxNoxSKEu6HA+lXqPIiyMjnr8SQ8WXBEJV1bLGlw+XBiWcWcB3tjjvxT2rwVNr7GKG HJ6XgRPlG27QTgXYSzTHYtMfv/EwIlJw9INZaQJIgTARYiLShffO02I2lIUPSnKTDwVuyUqlOS4D pcqqhUUhmMRXyhpYIqqhJukMuBzsyjfO+avnIV1Mk/lM2RH5HCMbeRNJLj0LhgC69J7k/3l3niU2 KpE6Q8rapUtxTdQV1cwFMj+siCPajkQ/phnNlIhrhgSJk9KkT6DMAVPGnTmRR0ca0ayOV2jYjn1S V4+6JMCiBnnLgh9fo6AibSW1NsVYg+eM/BIAUBeJoBsEGQmrvrF+lSUMo47MUugfQWNwDdq1cSJy m8KyfqGtKsIsMbnmrqFulBDJJv9UsbXEQKCbvkTNJbHgFiS0BauDQvMEApVXdDy3KF1OKLKj3HTW 3nFEDho3BNwQ2DLbLPhsFpIucjKSvBrJZWJmwYqwT0yW78T3qHmUSol9NBcGpN8i2BGqOrYGhWnL qamsA4aCg0X3UsrXUm1WstJwFJEs+R/yLzlQNsTdj/lt4XBhi5DXdoOsMiMRLXDJsDJUvJ5r0JAV UGp1EW0esSYb3MNkpkoseK5kl0leEeO7IfVINt6zX9FhPoixVIyUWqlm0dj5ElY+FBMKKmwk8q9D QHnAzMCYFKPv2KHljJWuNwcwA5rdOpg2qfkSNvpdRWqFzJzb6GrnBf/MhDg162ODPmXdNIdAntYc CgYBNV7iPs1siKo5OS60OPeiX6GTflC7p2x3ncrGgjJl9ArcDFRIA1nRHWcDRSFLZSVDpsAW87+p QQcVP/l2wC0ZtXbUUhZCzucrKe5+ORrK1HM22Wh9KiYNhcmmRLU3J6aIxsTCeBUq2Rxca3vQ9wOG 1tHVQKzgU79kZaXD8llROQlgGkbSWJDXMvf9ZA3ZgORh9I+b8iI14sYmiU5WB7Or2btnXykW2gLm 3SagI+fxooY0ZWK1hpUf1lnBxlbzQkYbNGkfjZqJC12yCcmBZV6kT1rv9g2qj3Yhtd8RRs5eoNPF zC/zR5yDcn+5tCRvNy2hWQM/sZul3fXvooYyPnFMFJM5gGv8g+wKUpEh50RyQFHyJc/io0gliXUg sUomDRKMuFge1c8XXiCvteVTGwPJSxo7cA6g75HNvepKasMu405ACKFf1LMg6KARAEDgBVtaYyU5 UTPxZT5KR57wsySINAHIEa0NmVLnbUKOcAspFdYRWPVBM5E+Ockk64d8jhQI4SgbRohsJxE5wXPe Xay3eW27mMeJCp8qJGZIZ7LRq1Je0sGTR0yEui4LuRgVXj8WkJ3M1NSSJUsmWLQsKMm2QViUDa9G cE5fMfuL/L3kfrJfYnJyjHlCel+MpndqA8D3iJkfXvx5QHRMEIFP5ygxsuFpOvSMLlEgIDS2CrUk GR7lTF3fREeWa0uNwACfkiXRzFshIs1Eq2zf21xtjYNMjVJV5jSoYSQ7QKx5wlqUxZMJeOLBGTUA SJTyRKCLIlC2omfjZrufCHQZ3MzmdN0ZIUCnG/l+TL6CjCskrMdZU4iIoK4IAKPkwlhVNQB0IoYY CahOiXVHpjeBUqKqIkTodHTZXEQAqCt+FlDWvolYWODJyCBEIOCL1GInpESpJhYcNnBI0I1xeGSo 16vme72UoE4JAGInotxoBwiYUo18exoPHZ//ipQSpToB6YWfCLETQsAYY1XV8wu9TojdbsTIyTnV dY26nL6qa0TsdDog70PFO+llJSnGEOo6JSC9OZvXHAY1BxBiBKC61iPoA8itmokAMYYABIlSXacQ eICgqioAiHqgMMtYSolSErvLo2YKBhhiZIE0m9TpdACgTnWipKceIyVChBgjb7wIvBouYAyRiCfE JBtBgBD1uFLkRcCdOtVV1ZOCqm7p5bMyQkCCBEnvWOM99gQxQJZXskpqYhdClDdxpcQixLfrEgDV UsfDEJFPy3BbsJ3a8QV6gEIAQGIfhAn0qHSJlIQaEi2DZCky8ybJKbSEiHp2OnJJmLWLAFLSypca P17gSyDztGpvMFMuM7diN80PYg1caiAx8pjkrCTEBCklqGUZMruJPHerMQtoIUoR80ZWqvByCLZW MDnRDCRlCTZUNVFd8YnWSOzlAcgdp+VC9kY4LMETaogqnh4oUUKUUoteLGWhiW6Oam7cBHOAOSXo C67ke76JwaIf0lgFgYjFEjEFkONiyEoB6p0sSGHeI3OGmcNlaGRpYGupy2dRX2JNBJe0EBGhCCGP gkgFe3LINxOQvQL2tNKZM3wt6pRpFqgUk0U8WoZTR+RoVHVRO1n4Mcs8y9g8xzoWEmmg4oIsjemy z20qZ54OJvNIiaVCV9e6lQZ5KYCZPRQmGNNAZId82Q+BkmQNYCtYqGSrj1FcIqVBvZJURBGkDNJx V96oG5OxsTQCbJG1Cy0YIZvHtiBGH5RUBM03kj1nAySvUWLfTWpHVIAhv1hUdEw7ZAlTIr1i0AdU WcHy7gCL1nVcQZBEACwOf9D1B8paDXycoEmklplYBlPZxOSx4WGQbnNo5X7T8bGcmnxrEnAFmY7Q IwfKnrU5pxV5lEmJM4SFGdYKqZZahEeujWY3wnKU9RmF5peMEEW1+NqogeIVj3VhXhv9eo6A2OPG 7/KearClCIXJMM9T5pOMAPkCV0GxEaovEbhSNnt/T6rQlk1hcaeYu2m1oKLJc4dHH5NBydPPA+Wx wR77lPxWejD+5L9yiqOE5WyXRcDnQPpgZpmTDcqt6RO2eaHEjKsUIC7BcQMB5M4lFSAipwnamt8d km0DNaTa1WXI0OnTO0OqcNwFV0231QXklrIFEFF0pKjAQH4kd5Y7cTigOcoGKn1sUM0vJsyzPXAE qFIgaAgGfuIMHRMdS3O4nsfd92FMVtJtLAvZJs9U1JBTOOitk/aA6p/cd07yJOh3lAnCJOaiySD3 vsiHn8TXgKWsr6pTcxgY6xzhOVhwygmuMtQIX7zKNVW2YLRTdtJpY52iN0rkeBkbxsIGm+4oA0W6 IJ9qbnl0NpcFpvqG/3cxFu5Pe8Ii8BKa3zj3i2Vbvr1UotRv56ifxeifckZBflT7oKmcahYHjIDu LWvR4lUs2h1EnyopgJY2Ujmv0Qh+nHFCNzemXw5wjoaMmRWHrjN3xowGB5Mvdxetaw9ONF3ObjzQ Omcjr4IcZ/tmvRCJewEpJuYHSA0P2tOYv1R0KOdcIB7VKawjmqxy6lIkZZxFqGo3fINEdjO2WDS0 MdXDEoGAQtYKJ4AEBLq6lwAgABSLmtWrsv8KECzSz5KaS+62/LfJaG0mT6gzltnme+tvhJENWp4G LtVN/8oOVH0HWG07Wwl90GEnhGJJMCUiSKTTnpT/Y1w5xcoe1rhkWOSIXR7Jq5s0ndWxID4jTWJH /SFnpYXYFkZaT7/EBknOG2Hu2hwPYEBbxUgSvau8qliqtfM2xkkvKM/zpA41/A3om3kmxxlDqwOT FYkoN2y21k0tARR7KcjaN/47BEudNjthcpOcoAAAIABJREFU61Lkd6c5+YHSUJIL1tE3JsKAmRvZ 5AJBZ25uLsaAiClRIgoYQpTmnXERwlPSE5ntNnKUnRME0FusLIgzsxMk8NW6U4DQ49GXGjSTwWcL UCLkuQ6iqqa6SmDeGTHVdUDodKKNICmveTtuIqprSkRMESIXvYBtFVeEQVnE+IQYUqK6TiklgAAE lIhL2rbfmbRmhwgj3W6delWdFhYW6yQjHwPGGBEDKx+vyQ1SyNBkmZfk6kWMCHK3GwB0YiSAXq+a TwnmZIBCnjAEAMAQYgi9xV7ilTey4JHLwVxixJRqcpMAIYRofFc7UNc1opx0zFW5lEgeQrnPjhf7 U5LPAEByHqYkCAgQo+6BBpByFiEQ6Ywg14UppYQBI08Y1HWdagAECpRSCCx1NQJ2YmQxiiHWdQIA DMhnEsg+D0aDAEPoxE6dUtVbpJQAoE41UUpIhBBj6HQ6vGtKBR97vTrGwBeShoA8vyJ2ktEArOsE RDFEZhEA8dCQ+p66JgzYiYghEEFvsYbEa3FlfEkWU8vW3ASAUVMxNZrsQ2SlKmcOAYEQEwQ+MsOs GJH6EvZaSEQsMBqkgC5rkloTAobIzYjJQ+cyhBshAGCvqvhQCuZAIgKkGDHwDYdRJiYACDEQhZQI UpAkAwh0UTlLppxVTVDLSRcQAlfqMQTRCO6dec8nMaREMnnDZ0pjCCEA8KCzrkUABELUeWM1dTpT 5UH9iBgljivqJLtUkl7PrKIpHLZTqBH1/I3MNQLJufQLsYHir5l7rNMksx3JipncAZvHEPgsjVAe 8SGNS7k5pTqllFJd84pcohQQY4idGGPogO4orOu6qio9qYMP3+CTOoJWru0eoOxTbWkUIoQQUDdJ q4MxSdcvRMJAvUZ2TWLPzNdZMJS/EKUBy7HE0khV09x+0YEG+NlVoow16ogn4m1rip+ddpujPRcj ldKhxMpiWje2/HJSlRJJkKjJY5M9qg8Ei8tVUOyBWG65Sc/8sUsacznAxVjq6C0csaCcN+zpeToa pKHeQ51x6OeIDi7oYSYqzAhis+WiVe47ICKGoHdcg7LIh80kuiUzfHpOh6s4s+RDRozUUARUe266 kFMrNV0gu82SFLpr8Jm4bKgVv2aCV0x+uBjOolEX+EA2I40sQEmxmYi+X31BQQyORmkuLNWBV2HI dX9dN+4JV6aZfjgrIZVrflBosPXj9qZGaU2M/QOZFb8SkMto+zjhm9ZPqF008xcj1RPWFwWrZeXw EKh4HrLK2rirVW7gpki7wS4ZPYBUh0IplDmeyvgT8CjadQ8Z6RKRgT328ab4xRNj3qbEqGnbsp3w /86C598x12dhveBDzjbrEKJrsik7A1QH1Fny0geEyIocgB0fX8ORclqucZgjMde6HAu9b9q7jJcs AUtachNFDJE5YMOElmuoVyu1NJs3nsMSjVbe6B8m6k6vAcvvHKjrGyATmjQVX1lXpvSUrS/63hzz MvXZJ5hMQ8HyrPSeCw0TQF4CcqTJyIj/Sq6QpOSA/L8w3SaRRW6shHBFRgo2RYuUh6qJn3bnvkaQ 86Y8EYNBLUcu6OTcu6yiZy0p0v78SnP8mjiKlS2iCCgHs0SgxH2vJEhDlNHm570baAxoo5uG/d6L JSuMSCkUZjd8pUR/QsC8/4j/wtxo8RnAT2ZLuUWdrIXmGpjyiqIgM4Yp1TXYcXNs/by7zIwwzcSy fzn7zM5WhL4BMmQgB1fZyDeY7H3CQKZ6jnrx9vwxO5JDD/1rkGR6NApWFh3qM3ngqJ8lxbjcjwzy iHLgWlWprhMixBh5XZdJRkqpruqUkrIOEJGkSmKhloSdlnjwoXMhxk4nxhj5TS3WNC2pGBZnpNTN qCyJlSdg8THelU3oblkCwBAwWr6IgYsVVVUDYOx2YoePW2Tpq2teTiXLtIESHyGQmmzDvjHjL618 40YKMtIDbkkboNdeDRsPl/nL4KdzDcnVk1C2VDr2u/xXG9cwGEA3jakjEluRbP+qNmsJhV0j5GQb TTDJCYmtDipDhGKTlEY/A1hWuM0ACEIZEFVV7WwT5vDIrJrXFCGvUNhsB0wQG8NTuAjVfue3TDWs f+VOs56cmxBlJjMSkFErVKT/ZctanapoxoWSRyXO54qRKKlx3ZqM2VotG2D8l3/5F2ihhRZaaKGF FlpooYUWWmihhRZaaKGFFlpooYX/bsC9zMK10EILLbTQQgsttNBCCy200EILLbTQQgsttNDCbwSd u+66638ahxZaaKGFFlpooYUWWmihhRZaaKGFFlpooYUW/n8InXYFdAsttNBCCy200EILLbTQQgst tNBCCy200EILvw1oC9AttNBCCy200EILLbTQQgsttNBCCy200EILLfxWoC1At9BCCy200EILLbTQ QgsttNBCCy200EILLbTwW4G2AN1CCy200EILLbTQQgsttNBCCy200EILLbTQwm8F2gJ0Cy200EIL LbTQQgsttNBCCy200EILLbTQQgu/FYgnnnji/zQOLbTQQgsttNBCCy208D8GtOf6sz516oaNy498 4PI4c9Vp/7T+glsmH/qQVR33eeg3a7b7q73Ru+fSr33hjPMu/uFld4w88Ii1I/jr99pCCy200EIL LbTQQgv/H4N2BXQLLbTQQgsttNBCC3sB2vnz9Z++eEvx3brnvfEPDxv5P26y2nbdz2+KD3r4YVPx N8UOAKB353mf+vJ1C4D7PefPXvygMQRIu644/d++fTfA+FEvfc1T1/4KpV+Ko9MrViyuXrl0rLsw AwAAcXRyolu5z2lm8f6CZkVDIDzghW940UGu2d7s/b4ueMzf8r0f3LobVx75iMMOOnyfJUNzexZS G6q30EILLbTQQgsttPDbhI997GMA8MY3vvHXffEzn/kMABx33HGTk5MAsGvXrjPPPBMAXv3qVzee bAvQLbTQQgsttNBCCy3sBai78kFHPWw/2HPjFTftxmWHHXXgkqHV+y+f6O7Z/SsUVAdBb/OlF/3g xgMPeNSR07RY/+ZxqMaydM+tM90Hj/V6aXbj9fcCAAAOT0yNxj2z1X/ZyNC6x//hq8cmxmI9O2+x MQGUn+8PWf41rDz86APGEXB4n/2Wj3dncrOLv0rMneZ2zCSA/Z/8/Oce0en1FhfqtvzcQgsttNBC Cy200MJvGVatWgX/VbQ7ENauXQsAZ5555nHHHccf+Jv+pgYUoM8555yrrrqq8eXRRx/97Gc/+9fF o4UWWmihhRZaaKGF/5thZN0jn/qA0bBp7tqbrhs+7MnP//3VdS9VO2/+6bkXXHrj1oWwZN1RT3jm 4w6bjGnu9h996+Jr7tw2W3UmH/DIZzzrUfuN4uI9l1/4rR/fsHUBh6bWPfQpv/+o0avOPuuaOYBr T/vwtUse8dI/fvyqauNlF2y49OZti3HJfkc96ZmPO2QJzFxzxr9dmB7zzANuvfhn2w9+8Wueue5+ VjFzKDs+3d1z27Vbce1kmt183eY0vmZsz93ye5rb9LMNGzy2Y9su+dwXLt2lTezzzJcdefkXNtyz 5hmve8mRowRWdSb/uZ69rY/A0EBj4tAnPvcZK+uKAKBanN119Wn/dqE0u6dB1DNW3FsSfnD3zou/ /sOtAHDHlz/w7v2e9/rjDhmeb2B+6Oi9319/xs93Ln/MK044ZuH7n/vS5btXPfYVL/md5f8ti8lb aKGFFlpooYUWWvh/F/4PCtDHHnvsV7/61bVr1/LCZ64+H3vssXv27Gk8OaAA/fKXv3z9+vWbNm2y bw4++ODjjz9+69atvzbuLbTQQgsttNBCCy383w11b3ZuruKIMS3Ozszsvvm8//jBjb3pw4550MJ1 V/7i3G9MvuaPjl7SGY1pySG/e8yyXb/47lU/3nDlEa/63Xjzd793w9bRwx731H3mN967dO2KicVl a1d0Nm5Kax719Efuv//+y/CXp599yc1pv9975oNmL93w829+e9/XvuAgIgDY8sNvbYlLVj5g9Yrp 8TgzU+0tHiYAAJw6dP/q0ptv/N/s3Xd8VFX6MPBzy/SZTMmkN0IIJAFC752gdJAmriLoAoJlVdaG K7i6vmv9rYVdpIMoqCiiKF060iGEkBAIISEhvU4vt533jyvjkEySCUkM4vP9+MfMnTv3nHNzOSbP fe5zrPf3weVXizhD50iUWsoghLHguP7ztlq9/UtCbP/hakw7rx09eYPRtY8xyi8ihGiVLkDK2Dwt Ya/fkzEm6g5wQAAWvLshniGn7deca0H8utdhfxuUtORg7YGP04XHx1ytzHXqetw3tHOHEA2X+lPt nj/cvd99yVe2pp87fYU0X7Qi47AZKfEG1mRy8i328wYAAAAAAHe/FStW+Nz+5JNPNvUIYgb0p59+ 2tQj2Gw2Twxa3DJt2jSbzVZ3Tx8BaJZlH3rooY0bNzqdToRQYGDgjBkzKisr/WwbAAAAAADcW377 hRFj7C65lMcgdd8Zf5kUYT1X89EPBem5TL8eUmO/KdOVAWpcxl1KP2yqZOVyGUWRCLktLuXggZMH aqQU74jtECw7V8wHd+nbO4x1mq6l57qRpv/Ykf2CLNIr6T/mZ9ZIEjQYIYTkXR5ZNDNRhTnGZRMw RnzN5VPpFRxChCqmV692KsKra5gyJoaRO67kOnvrswvcuu4dlFdSxc/dpXV7y/brkdQjis//6SiD FN0mDQ0nL+K6Q639mqo7QNJh5713tZxY8a8TCCFkHPb4Iz00dQ91a1C2y1/k1B64akbHhMgzJ3Od 2k59erVDTtOVdF/nOXJASkL2j1f2HkNIN2DqsFDSYXJyUFMPAAAAAODPRYwa1+V/InOtI3jeNikV uqysLDo6uqCgACEUHR1dVlamVCrr7uYjAG2xWLRa7eTJk3fs2CGTyWbMmMGyLJSKBgAAAAD4s/L6 PRALrN3BIaQ0qJHL6qYUUoRcNW4amU/v2X8+t8LO8gJGiBQwQavajbgveff+9LM/rj97NOG+B0Yl aTH+tawx5lxOh81k5xCynlr971O/Ht7pECQ6AiGEAjtEyBlLpcX9a+OcKfv8hRsCQkir6DkgnmAZ AaNbtS8IRVRSMNqdmVcadsOhTkgKJLPEbwmcz95KZZar+/dcdUs7TB/TQc6UMF4B9t+G6v1acJel HTp0+wApEuFfU7PFXW/VgJYExofpFF6PHt461K+DMleXW+sOnKbRrZrPAuN02C0+ey6XR3XrpL5y 0YZC+vePoJxWCweVogEAAAAA/myeeOIJn9srKip8bq9r3rx54ou1a9d6v/W/BobT6fTUfUYIFRQU nD59esaMGQqFotaevhchNJlMwcHBffv2DQ8PJ0nSZDL52TAAAAAAALjn3Pb7IqVS0QjZK20sp2Ss VgYhvU5uzfjx8JVyZZdJc4cZsr787BczQgTClLbj8IcTBhaf+WHriSvH0/p2GaHGiPg1oI0xopQK GiF5j2kzextIhBAiZUY1ZUYIIUSQBM+4BU/TkphJf3tRa9TJCIQQ76iucmOvrpHqmDgDPvnLL1UW efvOwVTOr18jKGXd3ipovuzMgQwHGTluUlc1Z6tw/1ZJwyvZ+7bEb8vl/YevVNQeoKdKh1cNaCPL YgIJbicW6hzq10H5HjjNVXnV/PB5nhU0JZgvH7tkQwihsiP7szqlhECeCAAAAADAn095eXkzj1Cr 3MUdVL/wRJ+nTZuGEPLUg3700Udr7ek7AI0Qqqio6Natm9vtrqmpaWrzAAAAAADgHnJbCQ5JSNc4 Re7Vc998w4Q5rhZjZOze2UBc5hFCUpWcKbqYWYMQiRASbNf278tThgXJrAJCSKJSa1RSmUaGkP3q gR27g/QJveO6xMnzrqYfP69J1BPOmko+fsRgyi14teb9qyp2m8rLanft1/RsWhcbpTp+8YZNmtgt QsJe8cStQ+v2Vld9dst5MyKCgl2Zxw44iKBI7KtF79cCzwt1BuhVJtqzXKHgtlusrPjS96EwxlgS 4mPgEoL3rgTi6zwbUc2pQ78UC+reD91v+37bpR2/dHtsoJ5owo8SAAAAAACA23Tt2hXd0SKEnuiz mLvsqQdd91D1BqARQiUlJU1tGAAAAAAA3HO8a1EgJI0cNnEYcejUlfQsUhXRa8KMoaGkg+mfnLE/ /fQ334Ql9+5hOHYRIYwoCWnJPZebhZBEFzf8gWGhFF8T0HFA8rX96TcupLuHdBuuaz98Sor86On0 o4cEJA2I7t1NISccty0D2MgvwuLnGCHaEBshvZgtRHeLlDIlv6U0++gtm/5DOUIIV6Qe3IsQ0g+a 2Yu47XB1XxOa+P7J2bUGiH9LkvYOL/v47f32w2KMZNHD6g7cKXjv5KPnIbZLXxzIZ6nYiSOSuliK jl05dn7Huc6z+gQgSIIGAAAAAAB3pl+/fuiOUqoffPBBnuc9ucs1NTXTpk2jKKpuMjVx6dKl5ncU AAAAAADc0wiZPsQgx/bKcguLEUKkRKXVaeQ0gQXWaTFZnBwi5QGBOiVNCKzDzso0Cq66vJqVaA06 pYRECPNum9lkdwuYuLUjZq2VlTaOoJUBOo1CQhII84y9ptrKkcrAYK2ENZdVOoTGuybVBQcqOFNZ lUuiCzEokLumvNpFqoODNISjstzM4rq9FWSBIXqp5xC8tdomN/zaIqZ+a/22174G6Kne8Ws3sL2y QjxDCCFE1HMo8Ut1B84iSmUMDqCZmrIql4B8nWdBpgvSK0i3qbzGRagCgzQS3l5VYWEgBA0AAAAA AO5SRHp6elv3AQAAAAAAAAAAAAAAAMA9qKESHAAAAAAAAAAAAAAAAADAHYMANAAAAAAAAAAAAAAA AIBWAQFoAAAAAAAAAAAAAAAAAK0CAtAAAAAAAAAAAAAAAAAAWgXd1h0A4E7gWwQBY4QFQSAQEgSh 8W+CPzGSJDFCJEkSiCBJwqOt+wUAAAAAAAAAAABwz4IANPiDwRgLgsALgtPptNtddqeL4Viex7zA I8jmBw0jEEVSFEVIaYlKIVep5AqFgiJJkiQhDA3anCAIcEcEAAAAAAAAAMC9BwLQ4A9DDD1zHGey 2KpNZgGRIYH6sPBQtUqpVCgkEglNw/UMGsJxHMuyDqfTZndUVdUUllWTSDDotLoANU3TEIYGbQhj zLKsVCpt644AAAAAAAAAAAAtjEhNTW3rPgDQOIwxx/Fmm62q2iSVSLskdQoLDUFetTigmjnwB0Hc VnmjuLQ083I2wzKBBp1WraZpCmLQoK3YbTaVWt3WvQAAAAAAAAAAAFoYZIyCPwBBEHheKCmvrKqx 9O6Z3D4miud5juPaul/gj6fWvYrQ4OCIsLDc/JvnUtPtWmd4aBBFkSRJtmEPwZ8Wy7Ft3QUAAAAA AAAAAKDlQQAa3O0wxjwvlJRVWO2O+0cO1qjVDMO0dafAPYLneZ7nYyLDDbqAw8dOlpRVhIUEQR1e 8PsjCIJlWIIg4GEOAAAAAAAAAAD3GAhAg7udIAjVJnOVyTpqxCClQgGJz6DFcRynVCiGDu6//9Bx mUxqNOgoimrrToE/G8yyDIKlVAEAAAAAAAAA3HPgSXNwVxNXHSyvqu7VvataqYTcQNBKMMZqpbJ3 z67lVdUcxwmC0NY9An86bsbd1l0AAAAAAAAAAABaXotlQGdVKL9JD7UyjR9QI+UeTC5NDHK0VNPg HiYIuKS8SqlQR4QFQ0wQtCqMcURoSF7ezeKyiqjwMCgEDX5PBCIYhiEQgf1Lgt54dhHDOT1vpbRi Tp+PWq13AAAAAAAAAADAnWuxALSf0WeEkJWhv0kP/WdKbks1De5VgiCwLFNSXjlq6CDIfQa/A4xx UkLcz4ePhxgNJCmH1QjB74lxNyEDmuGcSx5Z4Hn7/zavaoUeAQAAAAAAAAAALaDFwiu1os8kgab2 kUzvK/lwlvznV1V/u1/apz1V386/Eyb/2yUvfprpaoOmwR3BGFfVWIICDVqtpq37Av4sNGp1UKCh 2mSFex53FcGS/s17Lz/77HOLPz1tauAn88ed5wnC7Xajpqx+iRFvcZ22uE5jxLdevwAAAAAAAAAA gGZqrUDw/JHSahv+9jS77Sz7yWyFTkWczfXnL2TBWXh2z87D57OLLCwi5brwhJGzZg0Pl7ZSN8Fd jReE6hpzp45xBEH4jAaumTttj+n2TZGP/u8/D4Q147p2Fxw9wfQa1kEFua9/TiRJRkWEZWVfCw4y 1LcUoeKtl6U6vfrZV+joWO/tnquUy8+1vP+Go7paeO9TH993ZW9Y+r8LblIVN6JjxYELlts/DZ28 9JWUoGYsgsgUn73AdukTo/DvGnZlrnlzzSW7QHde+PaCJPmtzVzZvvfeuzBkyUtDDeJx+IoD779z pu+rLzerc3eIrzyz4yQ3cvGH9wdjRDUhSPuHQRCIYdxNiT8jlnMzLIsQYmkoHg0AAAAAAAAA4O7V WgHoscn0f/cxCCEBox0X2OfGyBBq9C9kwZnzw4f/PSEfNuPxqYkRGtJeUZBbGWBoi2xp0OJu3rz5 +eefz549Oyoqqu7bujDGLMNana6gQEN9uah/Xb3lcYy4gi2LXk174L9vpxgIRJAU2YzUVcGc+sWG nT0ShsQp78UY159Obm7uJ5988txzz7Vv377u2/oEGwPPXcxkGVZC04SviKDZzQSZamxvvqJ8aI58 9ETPdvHKc+3abv98FYGQxeVW19cGqer97BuzO8gEPHEORlzxrnc+zBq1ZNEAHYkIgmzOxSdYs376 /khiXJ8YhX9fkHee/877eV+/+am5Ga22Nt5R7aD0UQaavPv/h9DUuc7D5Wpa4jbHuViOE1/ccW8B AAAAAAAAAIDW1lp/ywsYJUdTBzI5hFCpGZea/Fg+jqs49s1RR9+Fi6YkiME/eVRS4K0/2LmqCz9+ tf1EdjUjNXQc+MBfJnUPpBvYzlWe27rxx0vVLrvVJSCEAno/s/Qh2W9NVaf9+MW2X66bBE3s4Olz HugBUe5W9/XXXyOE1q1bN3fuXPGFRCL5+uuvX3rpJZ/7Y4zNVptOG0DT9aZbkiSFEMIUQSCCIkmK IhFCXPnJTZ9+/nNGhVsW1OW+OU/N6h9MIyRYM7797/r9mYU1blLXMeWvix4fGERzZcc2LPv8wNUa jlTHDH7spUcCfnp3earFmf7i/B8ix7z6xoPtJFzFqS+WbdibVYV1ne6f+/ycAUG0+9qaRcuVj0+o 3rThSEWXf6x9taeyVc4YaL6VK1cihD744APxMvvggw+kUunKlSvff//9Br5F05ROG2C22hQKuc8A dJXD6WDZcLnc8eUGNitDPf9vhEqNEMIOu33lR8zZk6yAixyOMrsjqbEekgSJCERSCCGCJCmSJFB9 05pgz96zaduJayUWhtK0GzD9sak9DBRXdW7b5z+cyrNwpCq85wPzJqkPrd6caXNdfX/J/pAhC/42 NoL2Md0x+d++s1k+dbjpx21nq+MX/HtBfJNOa61G5z/ST+/y0Tef8/DsjlSD06+PsVPWKzu/3HrK wnAb3lwaOmD+c5OiJQjVc0I8B6ozxk6OOu02fIQ71dS5TkQQBMO4fV5voo1nnmf43wLNMomMYV1i BjRDu2QS2ZqTCz2fSin5nL4fN3soAAAAAAAAAABAC2ituOvGY+zCFOmJbO5ykTAikX5/R+MPCAuW 7LQyVbeH2/tIPeVKfl616XLCvCULE9T2qzuXr10lD355XDhdz3bSeuGrb67ELlz693b85c1vf0U+ vuSRDjIm/9bRyg6u2ZQZ9/jrT3dCWd9+uGGDMer54cbf/6HyP5cnnnhiy5Yt1dXV69atQwjJ5XKD wTBz5sz69hcEbLbaDAE6qVTacEqz+ClGGGOMuILv3v7v+W4vLXutW4Al/au3PnhbHvr+zBgJIQ/p NPKvwxYlBqGCH5YuXrNlUM+nY3O+Xn9ct+DTr/tqnKXXS2SBBsNji6Zl/v2X+z94d2wQhRBmC7e/ 99/UxL8vfz0ZXVj76kf/CWn31ng9Rlzhrs8z5zy77K9RapkMagXfvV555ZU1a9ZUVFR88MEHCCGl UhkUFDR//vyGf2YSicQQEGCymIKNgT6XIQyR0WUu5kaPfmGXzqnPnzbduK5Z9A+EsfXD/ydUlNs4 zj5oZPEP3+okdzSr1DfdkbKg2P7T+j3WQY+K9n/yf9/s7tn5kcj8nd9dCHjojY+Tlc6Km5VSnU43 9fHR1945N/jlX0tn+JzuAhDiSo9sz5ny6JIZYSqpFHFN6aA77/ZGtRTy1bdYt695mCvb18D0W8/Y EyY8Psvx5v+qH/7nws6eGiE+G4277Ux6jZEs2++jXV9HaHbFp6bOdb/C2OVyofqvTIZ3LRg/2mt3 bHMVixnQNlfxnPuGeQevV+3c28xRAAAAAAAAAAAALaW16txuP88+/4UzTE9+/3flpZv8leLGM6AF R40DqQNVFEIIMXlb33ph0aJFi15467sbDFdx/kxl+KiRnXQ0QWs7jrwvovLM2VIO1bddMBVWorCE cDlBKiLjDc6bhXav9rmK1NNlwSNGJeloWpcwsJu68Pw1K4QQW5tWq505c6bBYJDL5Z6IjFarrW9/ AQtWu0OtViKEcCMQurUTW3T8aGn0AxO76ilE6btMeCCm9MjRQgZjTAUm900KlhGELLxHN4OrzMxg ShOmd107cepqtaAM7dhBT/16KHyrQbb4+KHC8PGTuukpSp+c0k9z45dMM48xEsiQMTNHxOkVUgnZ WOdAG9Lr9fPnzzcajQqFQqFQGI3G+fPn6/X6hr+FENJp1Va7Q8C+Jy45SUbIZdrJ03NTJlZgQqgs N//jOfM/nhcqKioRaXlkvnLqQ4EyiaRJBX1vqW9aQ4jWJ3aLD5QRpCw0KUHnrrSxiFIHa935F9Ly zEgZHBujq3NLsd7pTiCNQ8YPiNHJpZKm/m/AV6M++uZzHm54+q1/7D75aPQ2XmMUfLfb2BHuSFPn OhFBEC6Xs4EMaISQm3VVmC+J/1WvsLW2AAAgAElEQVRaMiyOEoblGJazOEoqLRmej9wsVOQAAAAA AAAAAHAXacXKE1dLhOtlwpwhkkk96XN5vNnRSIyXVATIkdPsEBCikCRq3LNLRzmvbvpgu0tAgr3G Raq1cjFOQko0AbSj2sHXu53UtgslLl4ucCTEczeyqhSR4d4rygn2SjtXuPVfL35PIIQwxxIRDjff qucCeKlvYTdvGGOe4+xOl0GnadLBeVulndLqb10SMp1eaq+08QhR1ux9X317+GqNQJNsRQUfhRGi ox5YslS15auPn/lS1Wf6vLkTkgJqHc1aZuXy1j87+3MCISRwDIq2uQSEECHRB6shZ/4PhKab9u9b q9XYnS6e47DPMtCCQCMUFhEpGTYyJzCIPbLbWFKMMK4Jj2JmPGqMjlGrNcV32tX6pjVE2fOO/bTn dJ4ZUyRbUy2EYoTosPueelqx66cNb/6kTB7z4IyRHdS1j+Z7ukMErTX6s9JmrXmbIHw36qNvPufh hqffesfu86eHfTR6e2d/G6PvdrH9ZsNHaB5/5jqv3iLG7UYN3rNgWBfDNR4jZyAADQAAAAAAAADg btJaQdf+HajuMVSlDX9/jp3UU7JstvyFza7KBvOMSW2HJP22c+cKx0XHyglaqdUpZRoJgRBCpDJQ KZSbXAKSkwgJrNXCKdsrqfq3ByTPnHrm3f+9kW7UaqNTHp8SL/duSGVQStpPf+O53hpYZ+73Yzab t2zZYjabxUxA8W19iYEYY4fTJaEkMj8qXGCE0a0saVIVpOaLqpw8VpAICa6aGkbVSUVie+b6d7+o mPbvt8bEKLjrnz/3ei7CGGNKmzDmiTfv+8u1XR/+v/dXRf7vhWSMPMdCiFQb1dKEv/7vjcFar0vF nYMxQgRqtGOgzdXU1KxZs6ampkav14tvV69eLSZBN/xFmVQqoSQOp0smk/lKSsUIIZIkg4ODyeTu uRoNeSmVoihu2KggY7BCoSBIAmF8Z/NLfdOa69rW1T9Uj35h0dAIOV+w7a2PbyKEEKIC4oY99PyQ iTcOrVu++uvQN+Ym3H40n9Mdk4/qhJbr9EOhVSJ7pY1HgWIMl7dW2JFSpyARImo1Okvio28+52Gu wem3vrH7VM8JuY1njD7Pgyt7Y6NHuANNmuu8uV2N1KpiWJecDhdfY4RZzuJmzQghmUQnoTXEreg1 BKABAAAAAAAAANxVWqUEx18GSKb2kaw7zGw9zX5+jH1yvVPAaPaQxipr0hEjpvTkjqxcsyM1v8ru YhmX1eISMEKIDu7VL7T04OFrFh4Lttwj+4sMvXuF0PVuR4I585cbUQ+/8to/Xnlu9sg41W2RDjqo Z19j0d496WUuXmDtlQW5ZS4/1kgEzbN7924xIjNz5kwxFmM2m3fv3u1zZ4yxxWY36AOamrhKhw8a Hlm0Y2emice85cqeH/ODBg8Ol2DebnZRap1WRnCVFw+cquYQQthZnHWtzMEjShkUGSwXGEZAhDxA gc03K9wYCxjRYQOHhdz47rszxU6eZ6xl168WOeFS+SPZunWrGH2eP3++GHeuqanZunVro1+kKMqg D7DY7D5vM2BBwIKAEEIEYQwyJid3Y4fdh+8bHxwaJlfISZIkxMUE76gERz3TGuadVjelDNDICK4m 60SaiUMIYVfZ9RtVLgGRCkNooBSzHEaETC3HluJqRryG73i6IzWdBsU7j2/dm1FmZxh7WfqurWfY pKEdlKhuo7765nsebrg/9U7pPtTTaH1n1Ue79RyBKzv6+apvUk0Cwq683WvX7LhmFxC2Xtq2asOB QsaPM9ekuc6DQITb7SLqT4GWUvKtv1z0/PfjySwBSxiOZThWwPSPJ7O8P5VS8vqOAwAAAAAAAAAA /M5aJQN6XHd6+3mO5X99W2HFP6VyHcMaDXYTmm6zXlqw/4fd33/ys5lDCEkDQmK69g8gER0yct6j ji+//NcLNRypa9f/oSdGR0gQqnc7IlU6fO3LN1/6EiGE6JDeMxc+3M9Ty4EOG7VwNvP19x+8vI5B hCqy/0MLYkPgr/VWNnbs2N27d48dO1ZMA5w5c6b41ufOPM+bzLbg4CCaphvPgMYI36rbjKjwCS88 bVu58tlZlSxliB8+/+Up0RKM6C5/md7xw+ULHvlUGzNkysTuujMYC2zZ8TX//Ve+XSCl+vaDHn+q uxoRQvfp9+38+M3Hj4aPXvLO4x0jJ73yjGvNF4sf+9CNCHW74U+80iFc+VvCdYufJdCypk2btnXr 1unTp+t0OoTQvHnztm7dOm3atEZ/dhKJRBsQUF5eERHK+yik4PVtsbq0VCZzudw0TREEQZAESRAE QsSdXSG+pzWC7jRxTOy6TUsWbdKE9xk9KingIkKYrzq/5fNlRQ5MSrRRvafPSlIRJO48dtDhDcte Phsy9JmXpsf6mu4U/vSD0PWe/ZTju21fv7fPwiGpIa7P9L9NTg4gsb1Oo0q+bt+Q73k4sMHpt94p 3Uf3lD5OSANn1Ue7yT6PwFkKr10tMDoEFMDWFGRns53dKF7mrMzLzg4czOFIaWO3FZo013lzuxvK gJ7T92Pvt2tOLmQYN8tyCCGGdLM8O3/AykabAAAAAAAAAAAAfn9Eampqixzoxd0dPa/fmCaLMZKL v3aVmTFCiKbQm9PkX51kM27ynn3+b2x2i7Triyv32/c/c4z/20M9g2RIcJUdX/F/B9s//9rkSKjy /IeAMWYY5vi59OED+oaEGNu6O+BPqrS0/Mipc4N6J0ul0lpVOCQvLUAI6zf+oFAoeJ4Xw9ksyzIs S5EiKn3ycAKh4NVf+zi0K3vDPzdQ89+Y3UH2+4ylUUze129+an7krQVJLXYrDubhppFJJf9cuvjN t951M36thLjm5MKhnY0upgYhJJfqj2ZWQgAaAAAAAAAAAMDdqVVCAf+3k3l0kOTDRxQmBy6uEVws +uoEm1HIN/7NFiEwlYVmOt4YICUQQoK7ptxK6mDJuD8OjLHZaqcoWtfEFQgBaEF6vZaiaLPVbjRI agWgLRKpzOVEBGGz22t9i2FZgiQpkmcFLOjqqTRNIIq0n1v2UkbC468/2UPdxrXoXZmrXl+V6ULy 5JYsyQTzcJNht9vdaGluby7WxXAcQggRUPQZAAAAAAAAAMDdq8UyoN880N7K+BvOVku5N1JyW6Rd X7Cr8Ng3X/6cVcOTJMa0Pq7/+Gn3ddZB3t0fAcaYZdkr1/NVSlWfHl1IslXKlAPQKEEQzl7IcDjt CXGxEglMH00F83DTyGWSRc899dEnn7rc/mZAd4v5bXq8mC9ABjQAAAAAAAAAgLtTiwUDHuxauuVS qM2PGLRWxk3vUtpS7fpCyCOHzn55aGs2AVoLxphluYKisqnjUiD6DNoQSZIdO8T+sGt/XHQERZFw NTYRzMNNRBBut9v/hSsllPxivsv7bet0CwAAAAAAAAAAaK4WC0AnBjtaM6kZ/ClgjDmOu3ajoF1U hEajhlX+QNvSazUx0eHZeQVJ8e0lktqFOABoSRgzbjfye9J77PY1CQEAAAAAAAAAgLsWPA4N7hYY Y54XikorbhZXPjh5DESfQZvDGPfvmbzlh71ajSYqPJSiSIhBg1ZCEATL+lV8AwAAAAAAAAAA+GOB h8rBXUEQBJZli0vLL2RkjxrWX6mQtXWPAEAIIYVcPmpo/wsZ2cWl5SzLCoLQ1j0C9yyGZeAOBwAA AAAAAACAew9kQIM2g2/heZ5l2es3inILS0enDImOCOM4rq17BwBCCGGMoyPDRqcM+fnwifZma1y7 CIlEQlEUcUtbdxDcO1iWaesuAAAAAAAAAAAALQ8C0KANcBwnCALLck6Xy2Kzm0xWs92pDdA8Mn2C QiaF59DBXYVl2ZiI0EemTzhy8tyZi1e0KoVOpwlQqxRyuURCkyRJ0zCRguYiCMQyLNzRAAAAAAAA AABw76GPHj3a1n0Af14KhSIkJCS5c8egoCClUul0OiH3GdyFOI6TSejJo0c4HI6Kiori4uK83OtO p7Ot+wXuHTIpbbbaDx067GZgDgQAAAAAAAAAcE8hSkpK2roP4E9HqVRyHMfzvCAIgiDwPC/mRLd1 vwBohJjvTFEUeYtEInE4HG3dLwAAAAAAAAAAAIC7FG2329u6D+BPB6468AfF8zzP823dCwAAAAAA AAAAAIA/DLKtOwAAAAAAAAAAAAAAAACgVfBtXXWAxhi3bQ8AAAAAAAAAAAAAAAAAtDiCIBiGVchl bRgEpv3flRcEi9VhtTsdLhfDsLyAEUIUSUilEqVcplEpAzRKioSUagAAAAAAAAAAAAAAAGh7JEmy HK8iyTasKepXANrlZsqrzCaLLTI8pGNcrEajlNASkiQQQoKAWY61Wh1FJeWZ2fm6AHWIUSeTSlq5 2wAAAAAAAAAAAAAAAAAaQhAEw3IEQbRhHxopwcHzQmlltcliT07sGBJsJEmC53lBEFiWEb9IEARB EDqtOtCg7ZLYobSsIuNqjk6jCg0yiBFqAAAAAAAAAAAAAAAAAG2CYViE0F1agsPNsLk3S9tFhffp kYwQ4ji2bkcxxhhjQRA4jiMIIjTEGBJsvH6j4NqNovbRYRKaasW+AwAAAAAAAAAAAAAAAKgHQRAM y7ZxBnR9Hzic7usFxb2Sk4KMBpZlBT9WS8QYMwxDkmR8+xhtgDr10pX8a5chBg0AAAAAAAAAwEOp VHbv3l2j0dT9yGKxXLx40eFw/P69AgDcnRqYMQAA/rh7S3C4GfZ6QfGgvj1USoXL5WrSEXme53ne aNAP6t09IiIiOSFOKmnCUocAAAAAAAAAAO5hpaWl+/btGzRoUN2P0tPTR48eHRoa+vv3CgBwd2pg xgAA+IlhOdSmJTjIupt4Xsi9WdozOVGpkLvdbnxH3G63UinvGBt59XqBP9nTAAAAAAAAAAD+DEJD Q+12u8+P7HY7RJ8BAN4amDFaifyW37NRAFoPQRAM08YlOHwEoEsrq6MjwowGPcMwDX9ZXIGwvk8Z hlHKZYEGbVFpZXO7CQAAAAAAAAAAAABAE5EkSdM0TdMk6SMI5tPFrBw/9yQIQjx420b3AGgAQRAM d5eV4HAzbLXJ1qNrkpj73MA3SZLcuXMnTdOjR4+uL8fZZrMFG3Rpl3NCggxQiAMAAAAAAAAAgKgN HwQGAPzhNGfGIAji/fffJwjixRdf9Oc43s/3N3pkkiS/+OILhNCsWbN4nm/ZmY0gCIpq2spqLdsH iqLqRi0xxjzPt1QTPnkG3uKntC6SJOvemRAEoZXKOXAuV+rixVV79tTabhg9uud770laJ++eIAiW 5QiC8OeSbqVLrnZQuKzS1DkhDiHU8IkmSXLFihV79+5FCJlMpgcffNDn/hhjt9vVPjr8ZnFZXExE fUdzOp35+fllZWXiWhNKpTIkJCQmJkahUDQ6AAAAAAAAAAAA97aCgoKMjIyKigqEUFBQUJcuXaKj o9u6UwCAPwCSJHNycrKyshBCeXl5MTExLRVYFEN1X3755cGDB8WGHn744RaP/65evfrgwYP+5K5i jIcPH75w4UKO41qqAwRBLF68OC8vTwzRCoIQGxv77rvvttTxfRLbWrVqFUJo/vz5BEG0UixYDD1n Zmbu378/JyfHZDIhhHQ6XYcOHUaNGtW5c+cWD0NzLlf6K6/E7t3buc5Hjr17LyHUtdVi0H5elRRF bdy4cU+d+Hh9xowZM2fOHH8uudsyoHlBqDFbe3XvzLJsff9gxLIbq1atOnr0aExMDMdxX3311fTp 0+vb3+12q9Tqa3nmdlFhlK+HHYqLi9PT0w0Gg16vDwsLc7lcWq02IyMjLy8vOTk5IqLesDUAAAAA AAAAgLvfmYtX+nZLqLXR/xjN+fPn09LSEEJqtZrjuJKSkpKSku7du/fq1auFOwoAuFvdcVSXIIgf f/wxJCQEIfT9998vWrSo0UM1nAFN07+lcm7evPnYsWNRUVEIoaNHj2KMH374Yc+nzQ8EY4xPnjwZ GxsrkUga3Zll2dOnTy9YsKAFI+AY4/Ly8vj4eE8+cnFxsT+54XeMoiiGYT7++GPxnkF1dfWiRYuk UmmL51zTNF1dXb18+fLr169rNBqVShUQEIAQ4jju2rVrqampcXFxTz/9tMFgaKmAPutyZSxeHLV3 r9LXp0qEosQY9Lvv0i0dg/Y/qR9jfODAgejoaJlM1vBtD4yxy+U6evTo7Nmzm5wBbbE6wkOMRP3p z2LbYvQ5PDxcLpebTKYnnngC1T8XYIxZhgkK1NWYLEaDrtanRUVFly9f7tu3r0KhyMnJuX79OsbY 6XQKgkCS5IULFxBCEIO+l3Ac9+WXXw4aNCguLs6f7b9PlzZu3JiSktKuXbvfuWkAAAAAAADuJU6X +8zFK3k3S9wMqwtQhwUH9u7a8dLVvLTLOXUD0H4qKChIS0tTqVQjRowQQ0hlZWWHDx9OS0sLCgpq yzxoruTn1V+bxjw1o72szfoAAGgQSZI3b97Mzs6OjIxECGVnZ+fn50dFRd1xWitN0+fOnVu1apXd bpdIJAEBAaGhoUqlEiEUGhp68uTJvXv3siyrUqkWLFjQu3fv5scuVSqVXq/3MwPaarU2szmfHdBq tWIHMMZms7nFm/CgadpsNr/77rtVVVVPPfUUQmjt2rVvvvnmK6+8otVqWzCzm6KoysrKf/7znxKJ pF27dlKp1FMiXBCEgICAwMDAqqqqpUuXvvnmm4GBgc0PfzccfRa1agzaf9OmTTtx4gTLsv7sPGnS JD8Pe1sA2mp3xkRF1Pe8gHi1rV69Wow+y2Qyi8UyYcKEcePGud3uBtpgWVajVJit9loBaIfDkZaW NnjwYK1WizGOi4uz2Wzl5eWlpaUIIZqmo6OjL1y4oNfrxX/M3jIzM5966qnExMSVK1eKTaxfv/6L L74oKysLDw9fsmTJfffd9/nnn7/11lve3+rRo8eWLVu8/93m5OS89NJLGRkZwcHBr7322rhx42o1 1OgOdTtTS0lJycGDB6uqquRyeffu3fv06UMQRHV19b59+8rLy1Uq1dChQ+Pj4xFC/m8UHTt2zGKx jB8/vrq6mmVZ8bex5mvZo9VCUdTgwYO9F7YWRzFu3Lha21tVq46xFs+P6XdoCwAAAAAAgLZys6R8 /y/nXe5fl7KvNlmqTZasnBuC0KxEuYyMDITQyJEjg4ODxS0hISEjR4788ccfMzIyGgxA86YrR/Yc vVhgYhEh00X3mjBlcLi0OX0BAPwBeJctrqqq+v777xUKRXJysufto48+GhgYKO5wB+WM161bp9Fo 9Ho9RVESiYTn+ZqaGvEjuVwuxjExxuvWrevdu3fzh0OSpFiDwu12C4JA07RUKvWEg1mWZVmWJEmp VEpRlP+rLDa1A+JrseZ1izchomm6pKTk7bffJgji1VdfPXnyJELo1Vdf/eijj5YsWfKPf/wjLCys pWLQGOOPPvpIqVTq9Xp0q4qxVCpFCLEsKwiCVCoNDg6uqan56KOPaoUW70yj0WeRJwbd4+OPm9/o HeB5fubMmY899pif+zudTpvN5s+et5XgcLrcKqXcZwBarLyxevXqX375JSIiQqFQuN3uBx54ICUl RbzWPXtijGvdSuJ5nqJoh7N2kDo3NzcgIECj0QiCYLVaDx8+7P1Fm81GEATP87m5uV26dPH+4qZN m5YtW9apUyfvnW/cuLF27doOHTps3rz5hRdeOHjw4COPPDJz5kxPH+bMmXP//fd7R58Zhnn66aeH DBny1VdfnT59+tlnn+3UqZN3Bm6jO2CMN2/eXKsz3jiO2717d3Jycq9evSoqKr777ruoqKjg4OCd O3fGxMRMnz69qKho165dgYGBWq3Wz40Gg0Hs29WrV8eOHYsx/uWXX2JiYloknNqyR6uLIIj27dt7 3npGUWt7q2rtMXrzDLC1GwIAAAAAAKANOVzun4+edbqZ+NjIvt0SdQFqq82x/edfzFZ7fV/x8wnu yspKtVrtiT6LgoKC1Gp1ZWVlA1/E1swdOzNVKX95KlGHHKaKGtLQ+CPsAIC7lJ8zBk3TJ06cSE1N LS0tLSkpwRjrdDqCIEaOHEkQxKFDh/Lz81988UWCIMLCwkJDQ3v16jVgwIBaYc0G6hVgjEmSVKlU f/vb3xBC77zzzsaNG+t2Y8GCBW63u/mlKjxfd7lco0eP7tu378qVKysqKsQl05xOZ2Bg4FNPPZWa mrpz504xd7Nl62P4PFRrlOCgaTorK+vDDz8MDQ196qmnNm/eXFxcjBAqLi5+5ZVXVq5c+frrr//9 739PSEhofgyaoqgjR46YzeawsDCSJOVy+aOPPrp79+78/HyEUFxcXEpKyueff85xnE6nKykpOX78 +KBBg5qZBC1GnyO/+SZ4xozMlBT3wYM9MUYI8XZ78apVFS+80PPWKS1etw7Nm9eyZ9j/EhwIIYfD IS7R16SDN7rbbRnQboaVSiQ8z9X9JkmSa9asOX78eFhYmEKhoCiKpuktW7asWLHC5XKJ+3Mc1759 +2XLltX6uiAItIT03An3KC4uDgkJKSsrq66uvnHjRt1rqKSkpGfPnllZWbUC0B06dNi2bdvmzZvz 8vLELXq9/p133hFfjx8//v3336+srDQajZ6lGzMzM/Py8qZMmeJ9nBs3bhQXFz/xxBNyuXzIkCFJ SUk7dux47rnn/N+BIIi6nWEYZtOmTUlJSf3798cYcxwXERFBEITBYJDJZAzDmEwmq9Xaq1cvMcs7 KCgoOzs7Pj7ez439+/dHCN28eVMikYSEhBw5cuTGjRs3b948f/78pEmTjEaj2Ww+cOBAYWEhTdNd u3YdOHAgRVEY49OnT2dmZtrtdk8yNc/zR48evXz5Ms/zgYGB48ePT0tLq3U0i8Wyb9++4uJiz7c4 jtu8efOQIUNOnDhhsVjmzp2bl5d38uRJhmHEXPiEhIThw4dv2LBhwoQJYgWVM2fO5OXlPfjggzzP e9e78IzCUwcjMjJy06ZNPXr0yMrKslqtOp1uwIABp06dslgsJEmOGTMmNDSU47hNmzZ17dr12rVr NptNp9ONGTNGrVYjhHyO3bvDZrO5Q4cO3mPU6X5NzK97iuLi4r755pvY2Nh+/fohhNxu98aNG8eM GRMdHe3PaZHJZJ4BIgAAAAAAAO5dp1Iz7E5nx9io+4f0Ebdcunq9xmxp1UYb/otXcNbYCWOfTqFq GUKyULX+1+28+eqRXQcv3LQKqvCeoyYO76SlsLPg+M796TerbCypCk9OmZSSEEByJT+v3y0b2ct6 5GCmOXr609NinFeP7D1yMd/EEoqw/g/+ZQBCCLHFp7/bf/66iZUZO4+cMqarnmrVIQMAGrVu3TqV SqVQKIxGo0wmCwkJ6dKlixgxmDJlSnp6emlpqdvtZlk2Ozs7PT19wIABTTq+WI5ZLHbhcrmqqqrq 7oMx9qdqsz/EfFCO4xQKBUmSzz333IoVKwoKChBCERERzzzzDMuySqWS4zhxzxZptG4HvN+2eBPi bYPVq1f37t17/Pjxy5cvF4NUCKGqqqoVK1b89a9/3blz53vvvTd//vyBAwc2MwZNEERaWpper5fJ ZCzLGgyG4ODgiIgIMawXFRUVGhqq0+nKy8tlMpler79w4cLgwYObOUYx9zl4xgxzbq725ZcLDh5E CH1MED3/858Oo0aVICS+DX/ooQe/+ursvHmBzWzvTlEU9cUXX+zdu9fPqi+jR49+9NFH72QRQp+L S5IkuX379sOHD0dGRqpUKjHfmaZpg8Gg0Wg8R+B5vqioqG7kG2NMIMwLte8VWCwWjPHNmzedTmfd nqlUqg4dOmg0Goul9m8tYgS2vt82srKyVCpVeHi4Z4sgCMuXL58wYYLnIQtRSUmJWq3WaDTiGJOS klJTU5u0g8/OUBQVFRUltiWRSHr06LF3795BgwZdv35dp9NFREQUFhZKpVKZTIYQIggiKCiopKQk NDTUz41icxcuXEhKSqJpeujQoUVFRV26dOnWrZv4U9ixY0d0dPTkyZOdTuf27dulUmm/fv0IgggP D09MTAwICDh37tzhw4fbtWtXXl5+7dq1xx57TC6XV1RUaDQan0eLiIiYMmVKfn7+nj17xFwDnueP Hz9+//33GwwGhmEOHz48efLk0NDQffv2URQ1atQohql9v6Eu71F4X6w8z2dnZ0+fPh0h9OWXX+7Y sePhhx8OCAg4cuTI4cOHxax2nufz8vKmT59OUdT+/fv3798/efJkQRB8jl3c39NhsdaPZ4yepn2e ou7du58+fVq8B1BaWkqSZGhoqD+nRSKReA+w0bMBAAAAAADAXaWoqGjx4sV1t7/77rt11+nJyy8W eGFAr18zh46fSz938UrDx/czvctoNJaUlJSXl3snQVdUVNhstrCwsAa+SOk7dtScO7j3jGx4jxid 5Ne/pIWqs9/vuh45+YkH26G8fZt+3K4NmdVbJ9NFJt/XZXKkFlWc3rzx5+OJcWMjCYS4yvOHb44Y P+8+o0JCVp7YtiM7bNzs5zpqOVMNr6VRBcJs4VV+xl+enaowX9y6cf+hhPipcW1WthOAe5qfMwbG +PXXX1+9erVYdmPOnDk8zzMMI8aLU1JSxo4dS9P0Z599dunSJYqiXnrpJZ9RrIYzoEmSfP/99xFC Mpls9uzZtSovazSadu3aMQzTIhnQYmKlVCpdv379E088kZiY+PTTT69atYrn+SeffNLlcmVnZ69a tcpoNCKExOzDZjbqHcHAGNM07R2LpGna0ytRM8PBNE1v3779q6++mjJlSrt27VasWKFQKDQajRjB l0gkNpttxYoVU6dODQ4O/uSTTyoqKiZNmtScRjHGFotFLpeLP8qMjIylS5fa7XaDwYAx3rZt2759 +1wuV2BgoJgfXV1d3SJJ37KRI3m7fUNc3PMYX0QIITRmz57I+PjiQ4c8j/N0DAxECOUhFN9Yc5WV lT7rAC9cuFC8GHzyZxHCQ3hiWSQAACAASURBVIcORUdHKxQKfxYhPHbs2KxZs5qcAY3qT5xmGCYg IEDMfRa3UBSlUCjEtH+RIAg1NTU+j8Dzvuu7m0ym37pC0xzHqVQqgiBsNlv79u1DQkKsVmuTfsaV lZVLlix5+eWXxcUrRQUFBcePH9++fXutnZ1Op0Qi8dQPUalUDocDY+w5xY3u4BNFUffdd5/nbXx8 /OXLl48dO+ZyuSZMmCAO0/vfqlQqFav2+LkRIWQ2mysrK++///66rZtMJpPJNHnyZIqi1Gp1r169 Tp065cmhFveJjY09e/Ysz/MKhYJl2ZycnM6dO4v1l2vdfjCbzTU1NRMnTqQoKjo6Wi6XFxUVderU CWPctWtXMbFXrHYUGBhIEERUVNSFCxf8LOffwCg6d+4sTnlGo5FlWfGnGRUVdf36dc9TD559Onfu /MMPP7jdbrvd7nPsCCHvDjfQvbqnqF27dkePHq2qqgoJCbl8+XKHDh2kUml1dXWjp6XhAQIAAAAA AHCXi4iImD9//pYtWxISEiiK4nk+KyvroYce8rlKvM3hwBgHqFXi20G9kwf1Tm6RbnTp0qWkpOTQ oUMjRowQY9Dl5eWHDh1CCMXGxjb0TUnY8Ece1Bw5smvNESKqx+CRQ7oEy3DNlUtVhj7TYjUUgdp1 76jYdLnA3kunCWjXUfwDMrB9+4ATRQ4eIRohTOh6DOkWpiEQ4iuvZNYY+89ICJQRSBYYhBDiEEJE SO/e7TQUgfSxHfUH0qpdQpy8teqjAgAax3FcXFzc/Pnz165de/ToUZfLNWPGDE+w0maziU/znzt3 Ti6XL1y4MDY21mdOZAPEOsj/+te/EEL//ve/d+zYUXefp59+uqUyhbVarSAIcrlco9F88sknCxYs 6NGjx8KFCzHGTqfz4sWLK1euDAwMlMvlgiCICZTNhDGeP3++w+GgaVqlUtW61adSqZ588km73c6y bFBQ0LJly5rZHMdxM2fOfPzxx10u11//+teQkBCFQuEJgkskEo1GQ9P0pk2b1q9fv3DhQofD0fy1 FmUymVhAmOd5pVIpCIJOpxNrQOt0OpZlFQoFx3FihFrMCm2+gPHjKZVq7J49rN3uCYaaS0uNI0aI D+Y/jzFC6OqHH/pzNKPROHHixAMHDsTExJAkKQhCfn5+SkpKA9FnP02dOvXkyZMsyzYagEYITZw4 0c/D3haApkiS4zmCIGrFfMUS1BaLJScnx7MuJM/zLpfLU38DISQIQlRUVN02xIcFKLL2s0gKhULM bo6NjdVqtWq1+urVqzqdrrCwUBAEiqJMJlNFRUXdFQjrU1NTM3v27IkTJ06dOtV7+/r16/v27Vt3 eQrxevKEI+12e60Af6M7NMrpdH733Xf9+/fv3LlzYWHhrl277r//folE4h0DZRhGIpFIpVI/NyKE srKyQkNDfc4sLpdLLD8vvlUqlZ7CQ+np6VlZWYIgiP/GEEIGg2HKlCknTpw4ceJE3759e/bsWbf/ PM9/8cUX4luO41wul/haq9WKL9RqNUEQ5eXlERER+fn5wcHBdWvS+7yL0MAoPDc2vP+pi4X8PfvI by0JKp4lsW8+xy7+yDwdro/PUySXy2NjYzMzM8Urc/LkyX6eloYHCAAAAAAAwN1v6NChGRkZ169f Dw8PLy4u7tKly9ChQ33uqZDLLDZ7jdmi1wb43OGORUdHd+/ePS0t7aeffhIfOvREi1JTU0NDQ8Ul pHwilFG9x87qlVKZfWL3rs3fo7kzExwmJ1/285qPDiKEEOY5IsjJYuwsuXD0l0uFNkxTvMXMB/76 VwdBq3Ry8c8/wWl2k+oA2e1/DBKUQi0VN5EkgVDz1lsEALQEp9MZHx8/e/bsDRs2HDx4UKfTjRo1 SvwDn6bpPXv2HDlyRKfTzZkzp3379k2NPovElcwQQjzP11eCo5mj8IiJiSkqKlIqlVqtliCIlStX zpkzZ8CAAQRBnDlzZv369UFBQTqdjqZph8PRyG05/xAEsXjx4tWrV6tUKrlc7lnzUKTRaGQymdPp tNvtzz77bPObQwhZrVar1UrTtEQiUavVJEmyLCuGWeRyuUQioSiqurrabrebzeYWaTEsLKywsJBl 2UmTJuXk5OTn59tsNjG9UizeEhsbGx0dvXPnToxxZGRkizSq7NwZIWQrLEQIyR96CCG0Z8wYhNDz GFcghBD68ZlncpcvpxGK9++A3bp1y83NLS4uDgwMrKqqio2NFR/0bw6e52fMmDF79mw/93c6nX7e D7itBIeEpux2l0IuqZsi6nK5nnjiibVr1167dk2swsFx3LRp0wYNGuS9G8dxdru91tdJknS43HJZ 7fWGw8PDTSZTeHh4UlKSGLJMTk6+dOmS3W5HCJ07dy44OLi0tDQxMdGfkYjR58GDBy9atMg7AFpW Vvbjjz9u2LChblQ0MjLSZrNZrVaFQiEIQlZWVq0fVaM7NKqiogIhJC5RGBkZ2bFjx4sXLw4ZMsTt drvdbvHJhYqKCjFM6edGlmWzsrJSUlJ8hsLFrjIMI8ZhHQ6HTCYjCKKwsPD48eMPPvig0WgsLy// 9ttvxf3Dw8OnT59eWlr6/fffBwYG1grTi0u4PvbYY963AcSbh57WlUrlkCFDtm3bptPpgoODhwwZ gm4VCfJcXeLP1FvDo/Anyu+5xJ1OJ0mSEomkvrH7ecz6TlG3bt127NgRExMjl8vFyir+nJaGBwgA AAAAAMAfwty5c1999dVr164plcq5c+fWt1v76PDUS1eOnEx9YMxw7+0sx0nqqUfnf4CmV69eRqMx MzNT/PMqLCwsNjY2NTXV5XLt2rVr3LhxDcSgEUKE1Nhp0LBr6dtyqtgkjVZOR9y38JFErzQnpuCn 7w6bBzz6aK8gKV92cM2m0t++e+t3eVKukQpVNjdGUu9f7+GXfQB+J00K6drt9s6dO/ft2/fUqVNi HFP8t4oxFp/v79+/f2JiYqMrrfkswUEQhEQi+fDDDxFCMpnsscceq1uCIzY2VgyJNDMSzfP8yJEj V6xYIcZhtVotSZKbNm0qLCwkSfLAgQOhoaEBAQE0TfM8b7PZUlJSeJ5vZqMsyyYmJj7zzDOfffaZ VCqtVVNUfMvz/MKFCyMjI+8sgu+TWNlDLANgt9s/+eQThNBzzz2n1+vF7S21+CHP8wMHDvzss88U CsX58+cXLlwo5tqKYUMxJZFhmOXLl2OMHQ7HwIEDm39WEULusLCjzzyTt3x5uz594qdORbdSngu/ /dZ2a5+uCIn/P/OzufHjx69evbqwsFAul48fP76+bzVQVaYuu91eN4jXAD8Pe9tlpJBLK6tNMZEh ddd2FE/63Llz161bl5OTIya9rlmzpqqqatiwYQ2vBUmSZLXJpK1zJ7xjx45XrlwpLCwMCQkR7yfI 5fLg4GCTyeRwOCiKMpvNJEmK0duGidHnfv36Pf/88xzHcRxH07R41W7ZsiU6Orpr167ingzDLF68 OCUlZfz48TExMe3bt1+7du1LL7109uzZ9PT0JUuWNGkHn53heX7//v2xsbEdO3ZUq9Uul6ukpCQq KspmsxUUFCQkJOh0Or1en5qaOnDgwOLi4vLy8mHDhvm/saioCCHkKXItzn2ee25arVav16elpQ0c ONDtdp8/f75Tp040TbvdboIgFAoFz/MZGRnij6ympoYkSa1WGxAQIJVKeZ6vdTSdTqfVas+cOTNg wADxjpNWq/WuCoIQEgTh0qVLo0aN6tixo+dfLEmSSqXy+vXrERERJpMpJyenVgJyrVHcgYsXL4oF Mc6fPx8eHi5Oiz7HXqs2UK0xevg8RQihwMBAmUx26tQp8dlDP09L8wcIAAAAAABAm5PJZC+88MLi xYuXLl3awGPI/Xp0zsi6djXnxrZdB4f06xEUqC8trzp+Jq28qnrU0H7xsbWfRm2qmJiYmJgY7y2h oaG7du1qIAbNm3NzLdqwEL2KcldcuZjP6vvpaUqT2EV39viJ7JAhHfSU21xVzevClS4HQyjUCgnB W/LSrlp5H49OUvqERO3ZUyeyo0bEBwjWarvU2MgDlgCAtuR2u8vKykiSFJ/Uz8jIQAglJydHRESQ JFlWVubPylU+ibHsf/7znwihd95556effqq7z7PPPtsit6cEQYiJienUqVNJSYlSqZRKpXq9XiKR nDt3DiEUGRmpVqvFyCzDMJ06dYqOjm6RiLDD4YiLi5s7d+5nn32mVqu9F1RkGMbpdM6bNy88PLwF o88ikiTF0IrL5aqsrBRfiFvqJpXeMUEQEhISYmNji4qK0tPTV65cOXPmTHEdL4QQQRAMw2zatOnq 1avivYSEhIRG71U0SjVjRmm3bukIJSKU363bJYSuIXTz1qdRCKUSRC5CYuxSOW1aQ2FWLxKJZObM matWrZozZ06LrHtJUdSmTZsOHDjg5/4pKSmzZs3yaxFC7zcalbKwpKx9TLhYaLgWsb6MJwatUCi0 Wu3nn3+OMR4+fHgDMWiKosqrTNGRtReIUKlU/fv3P3r06OXLl8PDw8V/nBEREZcvXw4JCRFnhIED B6pUqkaHceTIkStXrly5cmXjxo3ilhkzZrz99ttms3nTpk1vvfWW544Ny7Jnzpxp164dQoim6WXL li1atCgpKUmn0y1dulS8A+b/Dj6JizHqdDqEkMFgGDFixM8//2yz2SQSSVJSUs+ePUmSHDdu3J49 e5YvXy6Xy4cOHRoUFIQQ8mej0Wj85ZdfEhMTPRcWQRD9+vXbvXv3lStXpk6dGhoaOmHChP379y9f vpyiqKSkpD59+iCEoqOjw8LC1q1bp1Qq+/TpI55Vi8Wyd+9el8tF03SnTp1iYmLqHm3SpEkHDhxY tWoVQshoNE6aNKlWpBUhpNFoxJUAxSFPnDhRq9UOHz583759Fy9eDAoK6tWrV05Ojmd/jHFaWpr3 KJqKIIjo6Oivv/5aXHtk7NixBEFQFOVz7HW/6z1GT30cn6cIIURRVOfOnY8ePRofH+/Z0vBpEZcf bM4AAQAAAAAAuEtEREQsX77ce5WdujRq1QPjRmzdsf/q9RtXr9/wbJdJJfIWqp5Zi16vHzduXAMx aOwqOrdz+00LixCSGdr3mDSlp45EKLD/9IncnoMbP/mBRUgRnDx6enhgu6GDIn/Y+en/7VIGJw3s 116d7aM9OnjgtLHunQfWfbxdQIrIIQ/N9PGnBgDgLlJeXi6RSNxu93vvvSdGJOLj44cPHy6RSMTH Ke4Yz/NWq5UgCJ7nxThpLS1YgsPtds+ZM+d///ufzWZTKBQkSarVarFsKUVRYvFfp9OpVqvnzJnj drtbql2HwxETEzN37tz169erVCoxuMGyrMPhWLhwYXBwcItHn715YowNJ7zeMbfbPW/evGXLlkml 0vT09LS0tF69ekVGRmKMCwoKUlNTSZLUaDQBAQHz5s1rkbPKL1miQmjgrUftxUBzrYIpYokr5bRp wuuv+39ko9G4aNEi/8sXN+rYsWNxcXGesrcNcDqdp06dmjVrlj+HJS5duuR5I2B8Ou3K6GH9MRbq W6iNJEmFQrFhw4br168rFAqz2Zyfn79x48b6rgmSJAmCTMvKGzNyAOXrfkVubu7x48d1Ol1YWBjP 86WlpSRJEgRRU1MzaNCg9u3b+zMM0IYOHz7scrlSUlIkEgnDMNu3bw8PD69Vm6VlcRy3cePGlJSU Bm4DtKy0tLSrV6/OmDGjBe+5AQAAAAAAcI8xW2xn0jJy8wvNFltkeEhkWEj3Lp08KxN6W7FixfDh w+tuP3z48JNPPul/izU1NWIMunfv3s2vfQkAuDvVN2M0bOnSpUaj0Ww2u91u8RaaxWKRyWRarbai ouLtt9+uL/ClUCguZuV0S+xQN8ZK0/Sbb74pl8tNJhNCSCaT1dTU2Gw2733UanVwcDDLsm+88YY/ maGNomlaoVB8+eWXly9fViqVEonEUweDYRiHw5GYmPjII484nc4Wac6bQqEoLS1du3atGN90OBwL FiwICgpqjegzTdOvvfaa+LBLfn7+v//9b4RQrS0tOECJRPKf//yHpmmWZU0mk7isIkJIKpWKBU/6 9es3bdo0p9PpM0n3DhA8T//73/ZbMWifVDNmcK+9huvkfTaTRqPZd/Ts/UP7NFqvWayTfubMGX/y KVmW7du375gxY5qcAU0SxP9n7z7jo6jaBg6f2Zay6Z2SACGUhA6hEwKhi6CCCoKA2LD72AsoRbGX 166ggiIqioggRYqAFOmh1wRIAqSRQnqy2Z33w0Kym+xuNmVJwP/14XlkdvbMfc6cmfnlzsk9TQL9 jp462ykizFqC3/irlalTpy5YsODUqVMGg2Hs2LE2DqBWqw+fPNu2VXOL2WchRGhoaEBAwIkTJxIT E40D4e7uHhISMmDAADc3tyo7gPplrEzdtGlT49Q0/i2GcfX3DSM/P3///v3R0dFknwEAAAAbPD3c hvTvdS2PaFwHnZSU1LFjx2t5XAANmUKhMK5uVCgUGo0mKirq5ptvlmV55cqVe/bsMW6/dOmSr69v DZYqT5ky5aeffjKWJDIWNa3wh/vGOhITJ06sq+6UlpYWFBRMmjQpJSVl69at8fHxmZmZsix7eHiE h4f37du3cePGOTk5jlgsXFhYGBQU9OCDD37zzTdCiIcfftjHx8dxa5/z8vKMK8rLcvqVt9QJpVK5 e/fulJQUY4XVAQMGpKSkZGdnKxQKDw+PVq1a9erVy8XFJTc319pvKWpAVipLp0/XCmEtB+2g7HO1 6PX6sWPH2rmoWQhRWFiYk5Njz54VXwcR5O+9bd+xtmHNJEmyNsp6vb6goOCee+5ZvXq1UqkcNmxY QUGBxYtWoVAUFZdcysrr19PfRhBubm6RkZGRkZH2RIwGRZKkAQMGbNiw4fDhw8abbERERNu2bes7 rrqh1+t//fXXtLS0jh071snLZAEAAADULW9vb9svIQTwX2N8nZ1Op2vVqtXo0aNdXFyM6csxY8YM Gzbsjz/+SE5OrtkKs9LS0tatW7/77ru2v24wGPLy8mpfOLiMXq/Pzs728PC444471Gq1sQSoXq83 1sTIysqqqwNVVlhY6O/v/8YbbwghcnJyjC91dJDFixeX/bcx71x5S+1JkpSfn7969erevXtHR0e3 bNmypKTEWM9ECGEwGIyjevny5To5nCkbOWiHZp9lWdZoVPb8ukWW5cuXLzui79KhQ4cqbLqQmnEp O29g7y5FRUU2gpMkybgC39q7ESVJcnZ23rr7cGSX9i2CKxaABgAAAAD8N33xxRfR0dGVt2/ZsqVa JTgA/BdYu2PY4Ozs7OXlVVxcnJuba1ofQKVSubu7azSa7Oxsa3/6b6MEB24MarXay8tLp9MVFhbW YeHsBkur1e7cf7RX13bWUrjXQMUV0EKIRv7eF1IyDp2Ib9+6hY3fbMiybHsBvJOT08FjcZ4eHs2a BNZBpAAAAAAAAEBVioqKUlJSKm8vLS21Z71wp/AwBwSFhkKn09XyRZTXF1mW1Wq7VkA7joXDS5LU OSJ0y57Dnu6uwY0Cba+Dtsi49jnxYlpqVu740UOonAsAAAAAMEpJSdFqtRZ/zNRqtSkpKUFBQdc+ KgANk407hoPUYekMoCHQ6/UqpUKv19djDlo6ePCgxQ+Kiks2/HuwU3hYx7ahxcXF9tcyVyqVTk5O B4/FHz4Z72zIU6vqs3g2AAAAAKBB0Wq1ERERLi4ulT8qLCw8duxYPf6NMICGxsYdA4A9nJyc4s6d D2vetB7rjVhNQAshdKX67fuOubq6RPfopFYrS0pKbL/80fh2UZ1Ov3n3waLCoj5dw8k+AwAAAAAA AEC90Gg0iRdTQxoHlpSU1FcM0oEDB2x8bDDIJ+PPH49LaN8urHN4S41aXVpaalyzbUxGKxQKSZKU SqVKpSrR6Q4ciz94NC6iVXB4yxCFQrpWvQAAAAAAAAAAmFGr1amXsgL9vHU6XX3FUEUC2qhYV3r4 xNn4hOSAAN/WzZsE+fu4aV00apUQokRXmptfkJKWeTrhYlpaRmizoI5tWjhp1I6PHAAAAAAAAABg lVKpzM7J8/Jws7/Acp2zKwFtpDcYLqRcSkrJyMzOzS8o0ulLhRBqpcrN1cXHy71pkE+TID8l7xsE AAAAAAAAgAZAoVAUFBa5ujjbLq3sUFJsbGx9HRsAAAAAAAAA4CCSJOkNBqVCIctyfcXAgmUAAAAA AAAAuAHJsqyQpHrMPgsS0AAAAAAAAAAAB1HVb/4bAAAAAAAAAHCjUm3fvr2+YwAAAAAAAAAA3IDq uQIIAAAAAAAAAOB6JMtyXl5eaWmpLMtKpVKhUCiVSpVKpdFoyvYhAQ0AAAAAAAAAqJ7CwsKcnByF QqFWq43ZZ0mSJEkSQhg3KhQKwUsIAQAAAAAAAADVUlBQkJWVpVQqyxLNRpIkGTPRBoPBuPSZBDQA AAAAAAAAwF4GgyE7O1ulUimVSos7GNdBk4AGAAAAAAAAAFRPdna2EMJa9tmULMskoAEAAAAAAAAA 9iosLLQn+yyMFTkcHQ0AAAAAAAAA4Iah1+tN6z7bRgIaAAAAAAAAAGAvWZaNVZ7tQQIaAAAAAAAA AOAQJKABAAAAAAAAAA5BAhoAAAAAAAAA4BAkoAEAAAAAAAAADkECGgAAAAAAAADgECSgAQAAAAAA AAAOQQIaAAAAAAAAAOAQJKABAAAAAAAAAA5BAhoAAAAAAAAA4BAkoAEAAAAAAAAADkECGgAAAAAA AADgECSgAQAAAAAAAAAOQQIaAAAAAAAAAOAQJKABAAAAAAAAAA5BAhoAAAAAAAAA4BAkoAEAAAAA AAAADkECGgAAAAAAAADgECSgAQAAAAAAAAAOQQIaAAAAAAAAAOAQJKABAAAAAAAAAA5BAhoAAAAA AAAA4BAkoAEAAAAAAAAADkECGgAAAAAAAADgECSgAQAAAAAAAAAOQQIaAAAAAAAAAOAQJKABAAAA AAAAAA6hqnULxSe+fPy1rfkmW7yGzvlwSktNrVtGdenT/5rxv+8TyzeoOj//5XOdXOovIgAAAAAA AAD/YbVPQKMuyHnx2/45lq2/+m/JtVnfAR29lfUZEwAAAAAAAADUCgnohkGfc/iPxb8ml2/QRoX1 IwENAAAAAAAA4HpGDWgAAAAAAAAAgEOQgAYAAAAAAAAAOAQJaAAAAAAAAACAQ5CABgAAAAAAAAA4 hONfQijn7Xxt2icnyzdI7Z6Z93JXl5L0QxtXrd+27+T5zIJSodb6BIZ26jNg8KDuzd2uvHrPkHdu 18aNW3cejE/JyCsRQqX1D2ndsefAYYO6NnGRzI+iT1s7/alFSeUb1F1f+OKZji66rJPb//pr0+7j SWk5xbLGw79xiw49+w/o362ll9qO4A0F5w/9u2tv7IFjZ1OzLueXyELp7O7p0yi0Xacu3Xr2at/I WbLyzeITXz7+2tb88g2BY95+e2xTtdDnxP3zx/IN+04npos+M94ffWLW80uTK38/f+tr924VQgiX 3tM/fSzC2Y5gq0MuyYzbu3X7nqOnziYkZ+aV6IUQQqlx92nUtHlYu269+3ZvG2DaN9353154YVmq aRPBEz+Ye1Ng5dckynn733/8/diS8i1eg2d9OLWVxmwvXdbpPdv/3b33UNzFjOz8EtnJK6hRUKPG zSN69o/q0szd0tsX7RzSjx4Or+vRAgAAAAAAAFAjjk9AWyCXXNi84P35O0zymbr8zPOHN/1yeNOf EWOfefK2ti7Zsb98/NmfpwpNvlaan34mduOZ2I1/dpr4/OMjQismoSseRX/58JIPPlgRV54KLclJ P3fw73MH//4lsNfdD00d2trN+gpwfdbhVYu+/23XxVLzzUW5mRdzMy+e2rv+1++C+95xz93D2npY SpdaDCn/5NK35i4/ozf+09XOr9UxXfrepV/M+/NkfsUP9CW56QnH0xOO79m4dGHLIfc9OrFP4JU0 vbpRnwFNli25YLJ30o7DWcMC/Sr1vTjh35Mlphu8e0U3M80+l2Yc+GPBt8tiM8y+lZ1yLjvl3InY HWsX+3e784F7b27nZc+wNowhBQAAAAAAAGBJPZTgkFM2fjjTLPtsquDYb+9+unL9t3PeM88+m8o9 uPitebuzDTYPo7uw5oN3TbPPZjGk7lw0e9YPh3MstyEXnVv7wYtvLamYfa6gJGn74tde+vTv88Wy zVCu7n7+z3fKU6X1pDRty6czPrSQfa6gKH79Z698svXS1WiVAT1jmpnvcm77UQvjV5K062iB6Qbf PlHBZflnueTCxo+nv1sh+1xB+r5f3njxw/UXLJ87s4M1hCEFAAAAAAAAYEV91IDOOBhnLbUshBCi 6PCShZvTbLeRv3vxqnO2EpS6w4uXx9lOTCb/9f4nW9Ir76PP3PH53EUH8mxHcFX27m/eWHAgp8oU tCF964JfK0WkcAuLGhoTEzOwZ/MKJUH8ukTHxMTEDBrcycfeBdZV06dt/vKbvXb2TOTvW7ho/9We Kf27D2pp9rEcv/14bsV+65L3HbpsusG/X78mV7sm5x35/s1v9+Xacezc2IVzv95r+5cMlocUAAAA AAAAQENRLyU4jNwatw4L8VPnnT9xJNFaSlLbqFVYiL8m/8KJIwkV9snYsyflztCQqis5uzfv2rVN kHNR6unYfWdyzD7SHfvxx9huT0R6mBTz0F/658v5+woqNKJt0WtAz7aN3eTL54/+u2lvUrHph5e3 fr6g23tPdPe0VRMkfeu69MpbFZ4dbpnSQYjSi8tP7DpnUgtaG37zlPvaOlXZu2opObd2+UnzhK1L SPfoHq2DvNzUpbnpZ2P/2XI80+TTotgNx3Ije3lIQgiFd9fBbRbGnyzPCetPbTud3zvSzWz0Du43 62ZgVJ9GV86RXHDs5y83ZZkd3rfb2DtiOoYGORdcOLJ1xa8b44rKP7u8fd6inq0f6+ZhbVgtDykA AAAAAACAhqJ+EtBSk/ewUQAAIABJREFUkyGPPzOhR6BGEkLIutRtn874cm/FnG/jQY8/e3fPq/uk bf9s+hd7TPfJOHNJJ6pIQAcOfPzFKT0D1MYUpi5996I3P9poWvyjYPcfuy51GeJftsi4+Ozq347q zBpx7nD3jCeGt3C9kgcdOurWE8vfe/O3uFLTZn7dfLHLLU2qHk51k679uoQ2DfLTiiKdT4A9b0Ks M7qLO/ea5X9duj3yzpN9TVZY3zS8x1fPv7u1PE2vvxiXoevloRFCCIVXp8ERqpNHyvutO7E1rjCy c3nhZX3WkV2mdaJF4/69g6700ZC1+7ct2aYfNhn16sxxbbTGcQ1q2qpzzw7zZ/zf1vJ98nf+vHFM p9uqGNb6HFIAAAAAAAAANtRHCQ7R5PYnJ17JLAshJHVgnwm3Nq2wT6MxT0zqZbJPQO+7bjPfx1CU V2Kz8IWy9ZQX7ul1NfsshFD795jywj2tzStanNmwq7wMh5x/bOVm8zW6XjFPm2SfhRBC4d72tqcf 7WH+vrsL69bbLAkihBCunSfN/vStZ+6/67bhA6OiBg6J6eRbd9U1qiYXJsebLm8WXv1Gdzev7yG5 hXYMMvtSQVZB2ZJnyaPD4PamrxMUxce2nzEppyLnnvg3wfTzptE9A69kj/Wp29ecNK2o4RY1ZXRr renqZqV35IQpXcwOcHHT5vPmvw4wV89DCgAAAAAAAMCW+lgBHdgzssIyVaVbgLv5Pv49ugdV3Me/ wj6y7brLngPuig6s2D9lYNT4/svmbDIpxXEh9kz+yCBjnYfihB3HzKprSK1vvzXctVINCMmz6+0j G+3+1aRmRvaBfSm6MBsrsp0jp00bFuZmq0yHg7m0u//118tfmKhw9mtilu0Vcsn5bRvOmH/JdJAl t4jBnZwP7Cmvk1FweEdiUfs2zsZd8+N2nDHdP2Rg94Ar+WBD9rFd503bde3Uv2WlgZU82sWEq2IP li+yzjh0NGN88yDLWeX6H1IAAAAAAAAANtRHAto9wK3iYaWKOUR3f/eKOcdK+1RxlM59m1kqoezc rG8nt01by1/EJ184klzSx8NJCKHPikswrwTSckBnH4urxFWB3fs2+nWpSQY6/WRSgRxitQ60OnxA hNVqxteEpPZo3Nyj4la5JCftfGJCYmLCudOHdu2uUCW7YhPaNoO7uu7ZUT5IuQf/PV/SJkwjhBBF Z/89ZbpcuUVMN7+rZ7Ek5ajJWAkhgto1snR6NAGhvuKgSZWU1OPJxSODXC3s2gCGFAAAAAAAAIAt 9ZGAlhRVF/6QFNXMN1cS0DZQY/EDTVCbAGGSgBZ56bmlQjgJIUqzL5gVKRa+rUOsra9V+YYFO4tk k5fmZV/MKRWe1pZAezbxbjDVieWS7ISj+/ft3bv/8MlzGUVVf6Gca9ig7u47tpS/ETJ7/+6LE8Oa q4UoTtp1zKQehwiL6VpWD8NQkJZufpwz8x67e54dB9RlpObphaulJdANaUgBAAAAAAAAVFY/LyG8 BpRad43l1LHCydNVIUR5OWK54HKRQWgVQhiKc82zpK6+WqvJcoWbr6sQJvsX5RbZKAqi1DSIsZYL zmz47qvF22xWVrbFOTSml9eW9eWJ+oy9+1LvaN5UrUvee8hk+bTUOqaLd9ngGQovF4qayc8sMAhh KQHdQIYUAAAAAAAAgBX18hLCa8GgK7WWDTaU6g1mGxSKmqy2lqQKi7Rlg+2i1PVPLjj1y5xXF1rJ Pqt9wyKHjI4OqKIRTbMBfXxNN6Tu2n9JL0rTDuzPKN+oaDuok1f57JLlCmNuP32J1TMJAAAAAAAA oEG7YZeQyjnJOXqhtbBwtjQn+bLZBqWbp7MxVSo5uTsJYVIFuiAj38rqWyH0+Znm9aI1WitrrhuK kjPLPl2RZJ7NdQvt0a9nt44RrVoGB7ipJVGwb+7KLWk2M77qJv2jAlYvTyvbcOHfgxnDux3ZbVLk WRkxqINpOWyF2qVCtQy/LtEdvS2PrBmlV3t7dgMAAAAAAADQ8NywCWiRfDA+d1Qjr0opYUNu3EHz 1+EFtL5aLVrl2djLLAGdcSoxT27hbSmvXJoZl2heVcKzsWeDHs6i02u2ZJhuULeZOOf5ESHOJt2T SwpKqlxvrG7UJ7rR8l/LRzFx+8FE552JJnu0H9TO7PWASq2/p0KcL18FrQ4eMum+Ti416AYAAAAA AACA68UNW4JDGE6s2pZSWmmzLnnrqpNmKVb31hF+VxLHKp+wZuY50fjNB7Ms1o4oTd297aLZFt82 Vl9YWBNyXded0F06fsZsybZH1PjBZtlnIYTu0plLVTelCuodE2y64cy6P9bGlQes6TAowt28Yeem 7YPMDpSZmqe3M3IAAAAAAAAA16cGvWS3lhJ/nfdXp5duCi4vjCEXn1vz1dLzZnu5d40Kcbr6D6dm fcI1/+4vKftUPrV0+ckeU8NdzdOphux9v/xpnn/26BjZuEKVidooyS+padFkKwz5mflmG9SulUqG FJ39Z3e2qJrSr/ug0MULz5RtuLg/qfxT504xbbUVmlb5tm3jIS6Wv6Xw/O4TOYP9vSv+BqQ0besP P+7OKMtNK317TJgUFUARDgAAAAAAAOA6dOOugBZClJ768ZVZ36w/fOFyka4o+/zBtfNmvrok3nzd bdDgEWHli54lt4hR0V5mO2Rt/OCzDYlFJuuRDbknfv/g873m9TeaDBvR0knUmKRUm+dYdSc37EzK 0+mKC4rq6B18ksrJ/NcNGTs2ny4ob1suSd628LON9uSfhVD6dhvU2sp6b5fOMW0q5p+F0DQf1M/0 3YX64z98v+OS+RJ1uejs6i++Xr9nf7l4ZRMvss8AAAAAAADA9elGXgEthBC6hE0L39q00NrHXgOn jmhqtm7ZueXIMW03fXvCJDNacGDhS09t7xfTq20jrSE78cj2jbsTi83bce15Z0zj2oylwtXfUynO myTHC/Z//eK0r4Vw6T3908cinGvR9hVqn+Z+QpjmlzPXz30xdeigrs29RPbFs8d3bjlsofyGlVIg Cu/Og8KVp45VLqOh7RrTytXCNzQhQ29p/de3p8q+kbf7i+fSjo4d1b9jc19NSXby6b0bV66OTTc9 nnO3iaOaa+zsIAAAAAAAAIAG5oZNQEuB7RqnH71gs4xFo+GP3dWu4lpdpf+AR+6Pff7L2CLTrTmn ty0/vc1KOz4DH7+3m0et6j9L2pa9wxRHT9Zx2Q2zQ3hE9GspxcWbJZQzDq375ZCtb5UUFFUupC2E EJJnxyHt1ccO6ipsd+s2sKXldwsq/aOn3b39he9OljdYcu6fnz755ycrx/aOevje7l439CJ9AAAA AAAA4IZ2w2b3VE2GP3Z/Vzern0tNhjw7Y0J45VIRQih9+z0yfUIHS6t4LfDr99D0yR1r/fpBhU+f KXeEOfT3AUq/fnePCLS5i9Q0enhrsxXhhhOrtydXTDIb93WPGNyxUtURj+4DQ60u11YFDXriqWFN 7Ror/34PzbgvkvIbAAAAAAAAwHWs9hlPSeXm66EV5aUYVD5uKsn0c992vbpqy9/rp2nmV+moSp+I Xl1dTPYJCaj0Qj979jGl8o/+31tev30x/4+jWWYfqIO6jrp7yugufla/LrmGjnz27aYrv/vu972p lYtMXOUSGj1uyoRBYW4W0vgK95aRkfm5ZSuaVQHBLjaz/ZJTs9GvftTm79+Wro89l5JVoDe20iS8 hYfdSVhJ4eLto80oqw8iuXuavmdQcmk9bvpTunc+Wn/ewkprddOoSY9MGeC+99LGU0fLU86lJ7// fGPnWcMDK0UhadsO7uK6b2eByTavngOa2yqFrfTqPGnm600WffXDP4kl1nZyaTl40r3j+jev8ObH ag8pAAAAAAAAgPolyVZq/F5n9Glrpz+1KKl8g7rrC18809FFCCEXpZ46ciopLTPP4OLt3yg0PDzY w968uyE/6cC/O/fuP3j8XGrW5QKdEAqNm6dv47AOnbt179Mj3N+ptiufrZD1ulKhUisd0bw+J27b 6rVb9hyOT8krFUpX78ZhnXv3HxTTo4W7UghhKM7OuFxiMiskldbbW6uyFEpB7HuPvBdbnq32Gf7a +5NC7SjaLBdeOLBt2669scfOpWXlFRuEUDp7BTVr1bZjj6jo7mHeageNKwAAAAAAAIDaSUhI0Gq1 kiQpFArb/6tQKG7YGtDlJOfANpGBbWr0XYU2uOvg4K6D76jjmKokKdU2l3fXhtIjLHr8Y9HjrXys cPLyD7CvJbk4J9e0PIdfn6hg+14ZKLk06TJkXJch4+w7EAAAAAAAAIDrESUMUFNyUfzq5XEmGwL6 9W3isLQ5AAAAAAAAgOvOf2AFNOqSoTgnX3LTisuJ+9d8N391mslHjaP7NCb/DAAAAAAAAKAMCWhU h1wQ+38PfXLSwidS2PB+QUwnAAAAAAAAAOUowYE64T34rj6+yvqOAgAAAAAAAEBDQgIateccPu7p cW1cpPqOAwAAAAAAAECDQs0EVIckOXl6q0RWqRBKZ3fvgGZtO3Tp3r9/16au/CoDAAAAAAAAQAWS LMv1HQMAAAAAAAAA4PqQkJCg1WolSVIoFLb/V6FQsG4VAAAAAAAAAOAQJKABAAAAAAAAAA5BAhoA AAAAAAAA4BAkoAEAAAAAAAAADkECGgAAAAAAAADgECSgAQAAAAAAAAAOQQIaAAAAAAAAAOAQJKAB AAAAAAAAAA5BAhoAAAAAAAAA4BAkoAEAAAAAAAAADkECGgAAAAAAAADgECSgAQAAAAAAAAAOQQIa AAAAAAAAAOAQJKABAAAAAAAAAA5BAhoAAAAAAAAA4BAkoAEAAAAAAAAADkECGgAAAAAAAADgEKra fDkrK6uu4gAAAAAAAAAAXBve3t7X5kC1SkBfsygBAAAAAAAAANcdSnAAAAAAAAAAAByCBDQAAAAA AAAAwCFIQAMAAAAAAAAAHIIENAAAAAAAAADAIUhAAwAAAAAAAAAcggQ0AAAAAAAAAMAhSEADAAAA AAAAAByCBDQAAAAAAAAAwCFIQAMAAAAAAAAAHIIENAAAAAAAAADAIUhAAwAAAAAAAAAcggQ0AAAA AAAAAMAhSEADAAAAAAAAAByCBDQAAAAAAAAAwCFIQAMAAAAAAAAAHIIENAAAAAAAAADAIVT1HQAA AAAAAAAA4LpkMBiOHj166tSpwsJCrVYbFhbWuXNnjUZTtoMky3I9xgcAAAAAAAAAuI4kJCRotVpJ koQQ69atUyqVLVq0cHd3LygoSEhI0Ol0t9xyi1KpVBjVd7QAAAAAAAAAgOvPsWPH1Gp1586dPTw8 JEnSarXh4eFKpfLQoUNl+5CABgAAAAAAAABU2+nTp0NDQ4UQsiyXVdpo1qzZ0aNHy/YhAQ0AAAAA AAAAqLaioiJ3d3chhCRJxoocQgitVpufn1+2DwloAAAAAAAAAEC1ybJclncuU2ELCWgAAAAAAAAA gEOQgAYAAAAAAAAAOAQJaAAAAAAAAABAzZnWgK5AdY1DAQAAAAAAAADcSGRZtvYRK6ABAAAAAAAA AA5BAhoAAAAAAAAAUHOU4AAAAAAAAAAAOAQlOAAAAAAAAAAA1xoJaAAAAAAAAABAzVGCAwAAAAAA AADgEJTgAAAAAAAAAABca/WRgJZzts+cYMmUdw8Wirxdc+55etmF0po0nP3Pq1Oe/SO5Jt+9YRgu bXh5yotr0/XX5GA5x9b+vjmp+Fof134mEZoqOv75tAc/O1ZULzHVmqVht9ajOrwoyk+x6ajac8EW xy14ZMKECQ99fbriiahDhsxNMyZMmPDQ16fMDqK/9PfsSRMmTHjgs0MFxl/ElSaveG7ChAkTHvs+ zoHhmCs68tG9Zje7qY+89NEfR7Krdbnk7ZozYcKEez86Ul/z1sq5ruLat2OGVOPuUd25Vzs8U2qs Tp4I1WvEjrlx7Z5TNZucVh5YAAAAAHC9q48EtKTtNO31OXPmzJkz56VxIULZZvL0OXPmzJnz2qzJ rZzrIZ4bi+QS0m9EVHOXa3Jm9TnH/1q++XyJfI2Paz+TCG8c9TTs5ce6nkZV6ddnXLSXEPk7V+zL MgghShI3rr8ghNTq1hEtnKrfnu7cj09MmDChhklJtYevn5+vp7Mozk7YteTtjzdVJxOmcPFv6uff xNfZcj0lm2oXtm21n4TVaOF6mnv/aXVya6peI3bMjWt3w1Q36j18QJhbNQ/E9AYAAABwg6qXGtBK t8ahYUIIIfIzXSWlW+OWYWFlmee8+ojoBiJpW980vvV/57j/cWXDfg0WxZafYp3jD1aHnFvdcmvY poVxx1ZsTel9i9eptf9kCOHW7/Y+fsprHUrAyOnv3hmsFnLBqR9fmrUq/cT6vRkDRwTYGYdrx4ff +dixAdZI7a997h43njo5p3U+Ma7dTHMKGTI+5FocCAAAAACuBw3zJYRyUdLGzz7/Y/fZy+rgPhOe eCCmiUYIYcg7vXbBwtX7zmYavFr2ufWeyUNaulpbCijnx61f9N3K3WcyihTuTbvedN8Do9u4lZyc /783U+/+v+l9vSQhDJc2zHxmRdtZ709sobTUspyzffb//op6bsDxb38+Fzn9zXHN1FcaL7bWjri0 b+n8HzcdSy50bdI+ZsL9Y7v4qoQ+fe30Z/8Z/P7rg/0UQhgyNrzyzMbo914fap79shiwhRgshmra kCFz06tP/9Xv3bnDXfbOeWJF12k9Ti79MzZFatL99mm3aTfN/+mfuEx1yICpz9zX119ZdPzzp+dp Jwwv3rD639PZLiHdbr7vvhFhWkkIobPUF7N4Ok/tuf+T31OF+GTaQ4dn/d/tF+aaHDfyiQGJy//c deqSKqTfXY/fF9NEI4RcfHHroq9+3R6X595m4J2D83761eu5dyY0V5tEn7erypitjqeiKGnT9/OX 7YjLLHH2bz948kPjOhWtfPH5365G+PGDrc0XvOrSdnz7y+9bT112Cu484p77R4V7KOycZrr03Uvm /bT5WKrBt1Wv2+6fPCDYWbI8Yvb0yPpZsDQrnJOXm3SqbNgHWO9R+dyw3TV98ooXn9sY+cZ740LU urOLn5m+Snnb2+/cEawuObPo6VeOjHjvWdfPnvur35uPFr33QvmoTrB6wdrJkB//9+IfVu2NS83X +DVvP+DOKaM7+RhvTPrsIysX/Ljh0LnMUrcmHQeNv2dMN3+1EKXpe5YuWPL3kYt5pSq3xu1j7rrv jm6+NpK4Sr9+4/ovm7vlwl9r43u3W70rT4gmI0aHu0rVPrp3+vIXX/7zkhDi4pJnHkuf/dH9rZxs tGCV5BrSqaXzqvSiwqyc83+889KSi37DnhxTtOzHUx1feuuugETLDebtmvPgRyece778+ZPtneXi 5B0/fbNsx4nkPLVfmz6jJ08c1MJVsj9sC1FVNQE+eNnP4rkuv+f4Ky1cGqLqGVLegp+u4lXczaf8 1JZeNJ38NuZelVdxTW6tlnewfOsWcqXbUTcfZdWBNeiHSzXuvd18JPMnUc2eCIaqG6ne3LB3pglh 7bZcedwsnhqRt2vOY0vaz31nTBOVtZNe8WLpp1xr64EFAAAAANexBlYwwUiXuvr7QyF3vvD6q9P6 GnYs/C42VxZCd+HPN15fnt/l7hdfn/3UqKAT3839dHumwUoLxacWv7fwiN/QadNnz3hsZKOTSz77 45xOODXr18kpfuvJXFkIYcg8sCXRq3e/pmobLeuS/py33tDjjnG9/E0ySpbbURUeXzTz/fW6Hve8 NOelyV2L1r47+8fT9q5LtRxwpRiqNQhCiOKzy5al95g2540n+ul2Lpzx6hrnm59967VpnS9vXvRH vLHMZGnquq/+zI+c9ML0R4f7nfjhtQ82peuFbKMvZfH06zTmjTdvC1S3fvTzzx8wT2jpElZ8d6DR rc+8+eb/ouVtCxbsy5GFnBs7b9aXB3xGPDHzpSldM375aluWxcjtiNkiXcKy977Z7znkoRkzX7i7 Y+bqzxYcKGp0i7UIhTDk7f5meU7kPS/MeOymgLglc99dm6K3a5rJ+YcXzPxoh/Ogh2e+9tSogCPz 58w/mG9rxGp6FizPClVja52y3KPyAaqqa0rfDp28Mg+dvmwQhsvxxzOESD18Jk8W+sunjl7269z+ SnqmcgAWL1g7FZ9dOuuVbzefTFUGt23pnn12z9K3X/oqNlcWQi48uejVN37Zc67Qr3WYn+5C7B/v v7XsbLEovbjmww9XHLhY6hsWEeZTfPHAiv/7fKutq0AIybXtraNbCJG95buFSw7ohFPnsTGNVTU4 eql397vu7OgihPDoPmFqTJDaRgu2yAWJB+OLhBCejTyMd5aMHV/N25KUVyzb16A+c9tHL3+27thl 7/Y9Ogflndz07cz3N6bp7Q7bInsmgM1zbfnSENWYIRau4jyTXe2ce3beJ6t1a7W2g5Vbt+WOVB3Y 9fNwsf+sido9EWw2Uq6a96WqY7Z2WzYfN2WVp8bKwFq4WI56jrb+wAIAAACA61rDXAGtaD3+vpGd fBQi5NaR6zevTM7VC825v/5Ka//Ay2O7u0lChIZ4pB+fvf7I5b79vS0sgpZl14jRDwyIim7trhAi WNq/6v30fL0Qzs37dVR/8M/p/B7dXDIPbEn06ftgY3WxlZajlELoi7Ujnn50qH+F1ZUW2yk48ufW vPb3z72jj5dCiNDHdaef+mFN3J2twu3osLWAVcIshuLTP9s/CEIIITl3nDAhKsxVlA6ObvzXug73 3N6juZNoNLz7z7svXNYLoRDCINz7PfzQzREuQrQN9bz09Jw1O9OiY1Is96WdeTxCp1QIIRRKhSSZ /exukANH3zuqs69CBN98c8v1yy7m6GV97Io9iv4vPHhTOxchWjVWxB1+90xNYrY2ZUuzL+RoWvSJ 7hHhpQhvFhDQOdNfLSRFeYQVx1x4Rj/y0M1tna90fPb6bReHjCqqcprJuYdWbi/p+dRDIztrJdFq 6kOpn25My8mRLY9Y+1qchZu9Lc8KtcLysFvs0Vj3K59am+cmXdM06hru8ve+hMIY1/MHLwX17ph/ KDapqH/ouQOp2oguQWpx5YRVGlULF6y7fbeWguPL11wQwm/4q29Nautamrz2tWe/j9v+265xHQc5 H/1j0yUhmk9647URgSLtr5lPfXdmy8aEW8cXZXm0iejdc+pDw5sokle++MxPFy7EZ+gGeNk6jjIg elzf5W9tP3cgRQjfmLFdPKWaHD3x1vs7dQ7R/nKo0C20W7dQd0XBAWstDLZU4CNt1dynt2lEaX5m dqEshEv30d28FZuEEELWh98ze2qfpspTXz5trcHydkpTt/5xoFgE3fbCi8MClaXnV8x6ffXxlZvO R49MtytsK6NU5QRIsXiutVe/b/HS0IdVY4ZYvIpN2TP37H1Y2HFrjbr6DauPCRfLF6lsqSN2XIPX z8OlyrNWYrJHbZ4IthoRHiazyJ65UTZXq5xpwtptWWs2bvmx1u/8QgirM6dP5xMWLhZDO6sPLAAA AAC4rjXIBLTKJyzkSo5E5aSUhBDCkJ8Un1Vw9uNHpxr/LQwlJaUBqXmlwtvCaj7JObhvjHPc0W2r z8THnzwSeyxX7iGEEMIlNKqD8uOtcYWdm8ZuTvTtN62R2pBjrWVPIVR+Ea29LOSRLLRTmnoupTRg YMsrgSs8wtr5Fu9OvKwPt2OVudWAhWkM1RsEIYRQejQ2fiSpNEqVVxMvtRBCKJROqrKfbiVVcNcQ F+N/O4d0DdVsPZVe2NVKX9q5WB8TUyrvsGbGL0tq47HkkvRTKaLxsBBjsW/JNaRDI6XFdIMdMVvk 3Grk4KA3P3n0ibU9unftEtmzR0Sgk2SjWrGkbtblSjTGjm85m1GSn1nlCOsuxV00NLqjmfGP0yXX iLufjxClF363PGLttTU+CzqpkfVZYW+PSsWVBLRdk8cppEdLsSD2Qr7P0fNO7e+JTj/485GUfOcD icpWw0KcrNaZtnDB2qk0Mz6xWAifHlEtXSUh1IHdo5t/H3c2+XiaLtot/oJOCP9O7XyUQoiAYa8v HnblWxMf0f7799Zl78+IO3kmvVgIIeQql1xL2ojbRgVv/ylJSK1uGdHcqcZHN5tRNlqwmIAWupyM S0IIIZSezXrcct+9kR5SihBCCI9et0S38nMqPX/WeoPlzZSkHk8VQqT8PvPR38s2Zp7LLMy0K2yr qpgABtvn2uKlIUReov0zxPJVbENtHhb23Fqrunwkb8sXqaWOyJn2BHa9PFxMWDxrhnzToa7FE8FW I7b3tzXr7JlpFm/LQms6bqXZVk5N+yupbmsDW2T5YtGdt9klAAAAALheNcgEtKRyVlf8UdBgEErf 4S+8Orpp+Y/DCmd3yz8bG7L3fTP7412aDv369oi6a3DUxjc/KzB+4hIWFSE+3x53odXmJL+oh4NU NlrOtxyJtXaEEMJ0X0khCdlQ8SdkubSktPJPzdYDNouhWoNw9etW/2GJQhKywRi0tb5YHRNTKqdK +8gGWTZpVLKxwqsaMZePp6SNmDj3q5gT+/fuP7D/lzeWLO728NwnozyrivQKhSQpFArJnhGW9bKQ FBYyPzbOfo3Ogq1ZYXePyv5tT9ck15Y9mxasOnqm6fH8Jre1aJUVmLPp5BmXU0Uht7Rwsf6iQ7um hEVXBqjitJBlgxCyQQghTLtg/Er+kW9eemNzllNw95hBkwbnrZ7350W7jqXybR3qJpLyvFuGeihr evRqxG9JwK1vv3tnsNmYlxr/T+OqUVSjQYPBIITU4vb/3dmyrAyu0qOFRj5hT9hWVTEBbN0ShbB1 adg7QyxfxTbeFlmbh4U9t9bcKtq0dpFa6sjj4XYFdr08XKq49/Y1mwe1eyJYb8QWm7Ou2jPN7OFo 3rLNU2NlYFUXrF0sAAAAAHDduprDsLBc6Hr58Ufh1qSpy+X4VMndy8vLy8vTKXXNl/P/TtVb3FnO O7ryn8Ko52bR1oLEAAAgAElEQVQ/e8/o/p1b+imLSq52XXIJiw43HFyx/K/zAdG9glTVbLlM5XZU Xs2CVGmH46+UmTTkxB2+pG4cciXVpS/Wy0IIIReeP5FeaTGijYBrPAj2kkuTYhMLjf9dlLT/TIlv mL+Lzb7UjNo31F9cPJRkrHksFyYeSalF4JXHU5+5b+l3K8+5hfcbdfdjM9+fOVgZu/6YrVK8si4h NvFKSrUoad+ZkoDWAU52jLDaJ9RfpBxJKjS2XXD4i6ee/jrOpXYjZuksqOybFbZ7VJbzsG/yKDzb dPe/tHPL9jS/jiFaz1btPVO2bdmZEdijtbtD/iJc7dMy2EmIjN3bzhTKQuhSd28+K4QIahOoVnm3 CFQKkbr/YLpOCH3auln3TJj45PfxeRd27MsSotldzz05aVTvwIL8Kg9Sl0cvKytgvJ3aaKHOQzLb za+lnxBygT4gvFOnTu0aF8cdjD10Nk9W2xe2dbWaACpLl8YJG3XbKzFU9yq22Ifq3yer/Iq1Hazd ui3ejvK1dgXWwB8udXDvFULU9ROhuuyaaZZuyxUubNunRlgfWIvPkWpdLAAAAABwPWmQK6AtcW45 PMZv+oJ3FoiJA5rJp/6ct+pij1esZHkkjaevU/7pPQfP+bRUXty59OudBYWtUrKKIxo5KSRt6/6t iz/cmRc8oUeA0mbLNt/xVLkd17Yj+7q+/u2nSxW3d/XK2P3LwhOeA2a1dhVKOdBXStqwak+7kcEF B3//8USx5FexMWsBB9V8EOwliZzNn3/ZeOqIMMPpNQvX5baa2jdI5eptuS8ip+KXhWTIT07OyHP2 ruI4Cp/IkZ1+/OSLecH3jggTp9f8cLhAuNQkqal0tTieCo1I2rJkS67TfcNbaS4dXb//snuXIGdJ yiuL0NfNbDmcQuT888VXjScPCzWcXr1wfUGHh3r7K519qhxhyavzzZGLPvhyXrP7RrZRJ63/elth 2xeaeodZGbE8uzpl6SyoNVlWprHS8rBb7FHZEk77Jo/Sr30nt59Wx3sPu8dTqXbv0FKs/Dcp8LZ2 3kohyhfhmpx3X7tPnBA5W9575pDT1V96qZvd/tL/+offOqzR3hXJa2Y/cyLCv+D06VRZuPUd29tP KYkOo6M8j2xO+HH6i3tD5ITTKSUiuH90sIvK312I3ITv58zc7ZV9PO6yEBYWg9rHtdpH1whJo9UI IZL//uGXoKl39rLaQo0CshWS6V7qJtEjWv35/enfZ88818Un61DsuXx1xNQRWqW7nWH7Fhxb/Ues pv/tQ5uZv+vM1gSoiuVLQyMu2917K1ex2UGqnns1uE9W+RUrO0jC8q073N1SR1ya2xVYg324VO/e a2u8RR0+EUz6av99ya6YLT4chfmvvKydmrI7v7WZ42TxYpGyy7vgWnh89R+xzgPuGBysEQAAAABw fbtuEtBC0+KOV1/WfL3o1/f/zlH6tR3w8Et3tbb2M65z+MRpQz5e8OnLq9X+bfvf/vhT7vM/W/Tp uojZoxqrJG2bqFbKA/kDul99taCVlqtIaVVqR3KNmDL7Kdf5Py+Y+3uhS6N2w5+bOba1sxBC237y fQM+XvTJy5vcg7uOnDK14NM/7Q14VnTNB8FOkmuXe0Zrt37z5o+5LsHdJsy4f3CAUggrfak4Jkrf Dj1brv9t1mt5c96+uYoDKbx6PfJK/ndf//bhLJ1/l5vHj03/dH31/qL6CsvjKbl1nvrkbfO+W/ru qwWyk2/rPve9MLGVsxDlEb4zOcw016ZqNPLRYZdXfPPGD/luLXpMnXlvlK9SCGXVIyx5dHto1sM/ zP/1k5k/6Dya9Zr83JQObpJk5ezbx/JZsDaNb7Y87BZ7VH7K7Js86kZdI7SrdzZrH6QRQm7aJUT6 N7ldp4AKiSiTUR1jdyeF0OdmXsot+5dzjl4Ip9A7Z8/x+eGHNfvjj51W+zSLjBk/ZVQnD0kIoW0/ 9bXnvBb8tOnIqdMG96bdRk2YekszjVIeOu2uM1/8vi/lfJpv1OSJKT8uPpJ7dN/Fklb2llsxUe2j CyEC+9zS95+vtycfjj2bd3svf+st1IyNkEyogoa9MFv5/cKVu2P/TXQJiBg6cdK46ECVECr7wvYp iN+yZpVbq1uGNKtQ+dauCWCF5UujOmvUrVzFJuyZezW4T1b5FLDWprWL9CZLHZHsC6zBPlyqde/N sjngdfhEKFOd+1LVM83KbVmuuE9Vd35rA2vxYhHK8i5MdIvfsmaVR9vbSEADAAAAuE7Y+LNrqao/ yb7x6BKWPPfKoZvenzPUvzYlJeqsnfpUdPzzJ97XPfHpk+3tz5XWlC5935ajLpFREV5KIYTu7OJn Zp+56+MZvWuRq7tBXMuzgOuXnPvvnGmfnHTu+fLndTFV8mO/XKyc8mBHlzoIDXXrRni4VKmBPxFq e1vO2zXnsSXt574zpsn182t+AAAAAKiOhIQErVYrSdLPP/88bNgwg+HKX87LsmzMNm/cuHHatGkK o3oN9Voz5CUd27Nq8V9ZLYd0863FD/Z11c5/ilSavOnbj7/dcDI9Jyspdvl3G3JbRbdxaxi5BqCh 0yWtnvfzKSFEjd/4aMqQc2jtkZbDqrFIH9fGf+fhciM/EfT5ySeOppeqnVQ3Rn8AAAAAoLb+W2tz dCmb5n/6j6b7pMd7+9Ym9V5X7fynqBoN+9+j2fN/fPvJ74qcfUO7jXt5Sj8fRg+wiz434WS6LJxD Bw6ogz/IV3h0HDupDqJCXfvvPFxu4CdC8elFsz/c7d7vvh41LgYPAAAAANchSnAAAAAAAAAAAOoA JTgAAAAAAAAAAPXvv1WCAwAAAAAAAABQt2yU2WAFNAAAAAAAAACg5iRJkiTLL2MnAQ0AAAAAAAAA cAhKcAAAAAAAAAAAao4SHAAAAAAAAACAa40ENAAAAAAAAACg5mzUgKYEBwAAAAAAAACg5ijBAQAA AAAAAAC41khAAwAAAAAAAABqjhIcAAAAAAAAAIC6V1Z/w2IhDlZAAwAAAAAAAABqqGzts8VF0CSg AQAAAAAAAAA1Z6MEBwloAAAAAAAAAIBDkIAGAAAAAAAAADgECWgAAAAAAAAAgEOQgAYAAAAAAAAA OAQJaAAAAAAAAABADcmyXOE/TJGABgAAAAAAAADUkCRJFf7DFAloAAAAAAAAAIBDkIAGAAAAAAAA ADgECWgAAAAAAAAAgEOQgAYAAAAAAAAA1BA1oAEAAAAAAAAA9YAENAAAAAAAAACghmRZrvAfplTX NhgAAAAAAAAAwA3FYurZiAQ0AAAAAAAAAKCGTEs/V85EU4IDAAAAAAAAAFBDlOAAAAAAAAAAADiK jRIcrIAGAAAAAAAAANScJEmmhThMkYAGAAAAAAAAANRQWerZYg6aBDQAAAAAAAAAoIZs14AmAQ0A AAAAAAAAqDlKcAAAAAAAAAAArjVVfQcAAAAAAAAAALiOWSy+YcQKaAAAAAAAAACAQ5CABgAAAAAA AADUHDWgAQAAAAAAAAB1T5IkWZZlWbaYgyYBDQAAAAAAAACoobIC0BYrQZOABgAAAAAAAADUnI0S HKprHAoAAAAAAAAA4EZice2zESugAQAAAAAAAAC1RQ1oAAAAAAAAAMC1QwIaAAAAAAAAAOAQ9ZaA ztv2eM/IyF5PbM+vrwhuQAW7n4+KjLzl87iS+o5E1DQYXfLG9x8c2Tcyss/9y1MNjoqtbjWoYQcA AAAAAAAaEFZA38iKDr0xNDJyxLvHius7EjsZMjfNfeWn/anunYaOHRzqUt/hWHbdjSoAAAAAAADg OBZLP5dRXbM44HjOHZ5d/MvDSp8m6vqORNQsmNLM+PMlwnnAzI/f6K11XGh1rEENOwAAAAAAANCA kIC+kShcAkJC6zuIq2oWjCwLodSobf3SpMFpUMMOAAAAAAAANCANvASHXJiw8asZ0ybcMqRPZGRk z/7Dbn9k7uJdaaXGT/UXf50cGRl5x8KEUpPvGNL+uK9HZOSoj0+WleQtSdm56PUn7xkzpFdkZM/o m+5+9sPlhy+XFxguOvzm0MjIyctTLh/98cU7+0d2n7wszUL5Yeu72W6/+Nj7N0VGTvglKW3folfv HdkvMjJywOi7H5vz/c4086LBhpxjKz58/v47b4qKjOw9ZMyUJ+Z8/2+K2S6G/Lh1X740ZfTgPpGR kb1jbr77+S/WnykoO1LB3pejrxQjljPX3BvZ795lmUKkL5ncN7L7w//k2XeUyt389cAS+8bZjEkw xlF4d0Rk5F0/nc85teLth2+N7h4Z2SP65imvfL8r3dhq/r9P9+kz/tsLQuSve6h/ZOSEJRf1NQx4 WZrh6uHOnt/65TPjBvWIjIzsPWzyq78cy9MXnFnz4dNTbovpERkZddPkV388kG16sm1OOcujWqGn 9sRc5WgAAAAAAAAA1wdZliv8h6kGnYAuPf/bk3e9MH/tvnS38P43jRzWt5XT+d2/f/jogx8fKpCF EMqg/rd1EOLsyg1JurIv6VM2Lz1oEM1vGxWqEUIIUXzmx//d+dhHy3dleEYMHDG0d0vVmc2LX596 +wurks1yfSUJvzz9wAcbzhS5BgW5K60GVWk3O9vP3v7mpGkfrU5yaxfVr0tA/omdKz5+bPxLf168 uo8h85/XJ06es/jvAzneHWOG9Aw2xO9Y8fHjd/5vybmricuiuB8en/Ty1+tPys16Db9pWK+muhN/ f/PS1Blr0/SVwpS07e+Z8fTEDhohnDtPevqFGXe3crLvKJW76dXYnnG2S9HphQ9PmfN3YavBd955 UzePlKNrPn700a9PFgshnFqOe/HZqT20Qihaj3v6hekPdPdS1DDgstN36e85k59akho88I4xMW01 GcdWv/Pgw0/de/cryy74dBl+25B26rRjqz94cu7mzKsp6CqmnJVRrcDumG2MBgAAAAAAAHB9KKsB bbEYdEMuwVF8asm3+0tEiwcXL3qgjbMkhBClF39/ZMzc/evWnnm0Y3snofDvO6az4vCBVRuSJj8Q qhZCiNIL65ceFyL8zuEhaiGE0J37acYHu0s7P/b9/02OcFMIIYQh/8RPz97/4aY33tzc+/8G+1zN wcct+j5w+CuLn7+5jYf19HOl3exuP2377oCbXl8+Y3hTjRByceKauQ+9unrLW+9s7vPBYB+FnLPr g1krkkXgqDfmvTS0iUYIYcjeP++JR77e/f6cP/vPH9NIKQqOLPj2kE7V9eVln49prBJCyHn7377j waX/fLfu4tC7gyucSqfg/reO8Tq2cPFhZZshY++IcBJC2HMUi900pFU1znZKWrGy3WOLfp8S7ioJ IT827pPxU74/s3L1mXvbhGsCeo4e43v+pwW7RfOBt94R6SqEkHN21ixgUZwqhBBZsaljPln2Ym9v hRC6uxdPHfPhieM70oe9s2xOjL9SCP2UyAdvffPgjlUni2J6u9oz5SyNqtCZdbEag2xrNKoxqAAA AAAAAEBD1ZBXQCv9Bzz56qx3Xxvfyvlq6lzl27atjxAlBTrjklWFX5+xXZUicdW6ROPa0pKE1b+f Ecqu4wcGKYUQoiTu919PiaCx04YGFGVeMsos9Bs4dXSAKN635kShyfG8b5nz0mjb2edKu1Wjffeh M54d1tSYWJScQkY8P2ukpyja/vPOTIOQc2N//jtHuA2d/tSQJldyjwqvrve+OjVYGA79silZL4Qw FOYWCeHk5e185axJbp0fm/fjosVvDvWvKmghhLDvKBa7WeU42y1g3PPjw12N51NybTmgt48QRbnF lZdw1y7gKxRdHpvW09s4XOqg7j0aCSFaP/ho9JXxUvp36xssRHFeyZUV0HZMuapUK+ZqjQYAAAAA AADQANkuwdGQV0Cr/LsNGy2EMJTkJJ9PTEpKPHNs/451K9KE8CjbR+Hdc0ykeu+u1X8l3PtIK01x /IqV54VT1Pi+fsbFyNnH96cKIX56ePRPFo5w6VKhQWivpHM17Qe20Vb98juz3exq/0pv2g9r72HS vOQWMayL86rN5/aeL77JI/ngmRKh6DionbtpBJqmfXr6zk9K2pdUPKGpq2vH8Tf57Vjx93M33xo5 fOTgvt27dmnfIrh1eJUhX6Wz5yiWulnlONvNuV2f5s7l/1RoXNRCWM231iJgI7emjVzLApRULmoh NIHBnmVJaoXa2Wz9tj1TrgrVibl6owEAAAAAAABcdxpyAloYco8v//TDBSv3J5cIIYS2cdt2bUPD NEmnTPZRePcY212za8fatefubxV88vc1qcJ92Lgensbknz4vI18IETxhzlPd3Ssll5UeYSYbtb7u 9oyG2W7VaN/V16NCrQq1V5CHENmZBQahL8wuEMLFx1Nt3ojSPcBdiIzLeTohhMKzz/Qfv23/zbe/ rtu2Yv7eFfOFEJ6tB9457cl7+jd1qjp1bt9RLHVTVDXOdnNyd6pGxro2AQshLJedsVSJpow9U67u Yq7eaAAAAAAAAAANkGkOrvIi6AacgNYnr3z+vjf2lDQZ9NDccTHdIpr7OStEyenPb99yKs9kN8mz 29hezjv++Wt1/MQ+SzdkCt+x4zq5XemzwtnTWQih9IroHdW8ilrFksKuZKrZbtVovyAjRyeEi8mW 0tz0PCGcPZwVQuni5SJEWlaOThbCpH1Dfka+EBo37ZXzpPTpOOa5/xvzrC7n/PED+3ZuWvX7yk3z n4m98H9LZ/XzqjKXae9RKnVTiCrGuRqq841aBVwDdk65Oou5eqMBAAAAAAAAXHca7gJMQ8au3/aU iJAHP3zt/mFdQ/2MhY9lXYGuwo6SR5cxfVxFyrolSxdvzhGNbx7btizNq/RuE+EtxLl1W5NLTb5S mrh4YvfIyEm/XKxlvYNqtF96ZN3RXJP8v3z5wIo9BUKEdG3qJNSNOoZqhOH4hqN5pr8iKDm//d90 IZp2C3YSQnd+7RfvvvPpinMlQlJ7BHfsf+uDM+ct+XCgq8jetOJUkR3R2nMU62yNs4PULuBqs3vK NaCYAQAAAAAAgPolm6j8acNNQAthEEKIotz8siSu4fLBxR/+ni6EMOuK5NF5TD83kfbnvO0FIvS2 0S005Z+5tB07qrEQcV/MWnQ0z/gWObkw/re3vjgpq7qO7R9YvTfoVVaN9nP/eu29dReM7/CTi5PW vj/3rxyh6TW+n59CSO5dxw9wF3nr5n6w/souwpC19+vZ3yYKRcc7BzVWCSHpU/5e8svCj7/enn51 ROTCC8cTCoTwaGSreojBcOX1efYcxQZb4+wYtQy4+uydcsJkVOs7ZgAAAAD/z96dh0VV9n8c/56Z YWbYV0FEcUM0FzTFJTVyK8yttLIstbJ+avU8LY+2appmpS1PaeWTpmZWbpmZldpii6ml5YaKhqKi iIAsssMwc87vj0FEmCElcdDer79gzpz7/p578PK6PnNf3xsAALiYoiiOmuGKuLwFh3X3u08+uqJy EYb6N/7nycGhPe+K8ZiyadkjD2beGtPcoyA5fuu3W7ObtvGR/bk//W/20jFjhl8XbL/Vq93QGJ9v 1+WKtL49tuF5rTBMrR6YMWbbg4vi3r23z7IW0e0b6U7+8VtCrnjfMH36oPp/N3++iPGVwAa5X0+6 5dfF0W3rq8lxO4/kiHhf//RzfYN0IqL4dJswddDuiV99+dwtWxZ3iWpoyDj4x74Ui3h0fWrqkAZ6 ETE0HHB/j0VTtmx4csCO1l3bNfJRMw/9/sfRAvG/6bF7Ih2GwTqTp1EkdcObLxs6dRj64NBmfz1L tapZ59pxActyCekCL+hPrsqqurJmAAAAAAAAwLXKo2dFUapugnb1DujChO1bq9i0+VCeKvrg/tMX TB3RtV76T0vfn7dyU6K+2zNLv/jgtUmDGxsLdq394o/Mc/0tPK/p39Esou90V+/KobLiGfXQ+ytn /V//zhHm1D9+/GF3ZkDHW598f9WsAfUvSfp+oeP7Xf/8R3MevrmpemzbLztT3SO7Dv7328tn3dLg bIyrC+w1ZekHz43o1d4ve+9PP2xP1kdcN+TRtz99c3jjsnBZH3zzrKWz/z2wfUPbse0/fPPt1oTC Bt3vfGb+Jy/cFOw41jQ2HTZ2QDPPvD1fL1uz7bT1gmapVjXrXEv+ZsEX58L+5KquqitrBgAAAAAA AFzNWf8NEXGQSV+JiuJmDR3zaX7M61+90cuvrh3sVhL/xtDRy0qHLvpyUpTZ1cX8PXV6nQEAAAAA AADUvqSkJE9PT0VRli9fHhsbq6qqfRO0qqr2tHnjxo3jxo3T2bm62kvBlrbx/S8zxKf3XdGkorWI dQYAAAAAAABwMa7wE9Esx1a88Mr6gwf3HS+W5mPu7+Dl6oKuUqwzAAAAAAAAAEfKWz/XyR7Qf5dm yTi073hpaJfRb8wZ1YwOu7WFdQYAAAAAAADgQHno7LDb81XSAxoAAAAAAAAAcBlcVA/oK7wFBwAA AAAAAADAparZ5Xylt+AAAAAAAAAAALiMfftzxR8qIoAGAAAAAAAAANScoigO02cRoQUHAAAAAAAA AKDmaMEBAAAAAAAAALjcCKABAAAAAAAAADVXTQsOAmgAAAAAAAAAQK1wTQ/olJQUl8wLAAAAAAAA AGjQoMHlmcg1AfRlezwAAAAAAAAAgKvQggMAAAAAAAAAUCsIoAEAAAAAAAAAtYIAGgAAAAAAAABQ KwigAQAAAAAAAAA1pGlapR8qIoAGAAAAAAAAANSQoiiVfqiIABoAAAAAAAAAUCsMri4AAAAAAAAA AHAFc9h8w44d0AAAAAAAAACAGtI0TVEURVHoAQ0AAAAAAAAAuJSq7wFNCw4AAAAAAAAAQM3RggMA AAAAAAAAUCvsLTgcXiKABgAAAAAAAADUUPn2Z3pAAwAAAAAAAAAuJfvxg/ajCKteJYAGAAAAAAAA ANQcLTgAAAAAAAAAAJdeNScQiojhstUBAAAAAAAAALj6VJNBswMaAAAAAAAAAFBD5c03HHbhYAc0 AAAAAAAAAKDmnDWAFnZAAwAAAAAAAAD+PoeNOAigAQAAAAAAAAC1ggAaAAAAAAAAAFBziqI468JB D2gAAAAAAAAAQA0pimJvvuEwg2YHNAAAAAAAAACghspbPzvsAe2iHdDF+2bdMmbPmDUf3dlA75oK XEG15GakpWdk5xeX2jS9m7unf1BISJCPkW8BAAAAAAAAAFyx7Huf61IA/c+jWbKSEo5mlpS/YCst yk0/kZueHtg0snGA0XGHFAAAAAAAAACo4xxGz3YE0JeFLf+kPX1WPOqFNwrx93CT0sIzaSeSTheW ZB5NMBivaej1D9oKDgAAAAAAAOAfoa51f1Bz96184d6BMZ2jo7v1G/7kB7tzVZGi3TNu6jFufaZq f0vqZ/d2H/TWAYuImhv3yXOjBvSIjr6u/70vrIzPU0VEy94wJua+1TtXTxre9/Z3EywVh8/d+H8x o5Zu+XTamCHXR3fpM2LK50dLnM9rf//IjzYu+s8dfbp07XvXsyvjD294+f4B3aOje4+Yvj7FerZo B2VUoBWfPp5WIiKGgOYtwoO8THqdTm/yCgxv0TzAICIlacdPFzv9jgAAAAAAAAAArkx1LIAuipv9 xKvbQ++c8r9F780Y2XjPu5MXJVjEPXJAd/f4r3fnaCKipm354lBQ7IDmRsuRJQ+NX5jb84m3lyx6 dXSjXa+Pn7Qh3Z79WhKXTF+l9h7/8I2hlfd4l/y5+LWt4Q++8cnSWYPVDbNm/ZylOZtXRESKD74/ P7Xf1A8+mXmz5btXR9+/1GPUm8uWTOmeufbND+KLRaSaMuy0kuzMIhERMft5GkQtSDmwa9f+5AJV DJ6+ZvtzZ2aXkEADAAAAAAAAuLrUrRYcmubV6f7JQwYMae+nE4nQbfr4Pym5VhGPlgOuM078am9e nxjPtC1fHA7uP6WJsfjgihUnuzw/d2xvX0WkdWTAqWEPrtqW2X+QQcRa5HP36zOGOzrhUNUa3vfM vd1DdNJ89Og2ny44dsYq/k7mNYqIeHR77N8D2npL6e2Dmqz4tOtT4/u0NEvju3q/88PRzFIRcVLG 4Hpnw321pKCs9XP+kT07REQMPqFNgj10Ys07Y0+mpaSgRBUzXTgAAAAAAAAAXEXqVgCteET0v9Vj 3x9fL90fv2/3ts07zmh9RETEs/XAroZnv9qX373p5rWH6w94obFRzT4cfzr/wLM399TbD/BTS0pK w5JzrBIo4lY/un2Q4zjXrV7bSD+diIjOzd1NERHN+bwiYvBvUs9kf7vZ4BbYLMhY8V5Rc52VUc/o 5CnNDVpGhJq14qwTR49l2/7+qgEAAAAAAABAnVS3Amg18+eXH3z2e1O3Af17D3z09oGfPfJ8vv2K Z5uB0TJl3b6jUWsPhw6c1shNRNU0fchdc96/r1l50qvoPXyNkieiGMvyYQfczMbKl5zPax9WnP0i 1ZRRTmfyNElOcfnv1oLTKSelKDM9p7T8NZOnqY51QwEAAAAAAACAv6lOpZ7amd+XfFUw8K1F/33q vsE92tQ3FJWc7aWseLUbdK1t64eLViQ2HNyvkZuIzqdpc6+s+GTFPygoKCgo0D156Qsvfp5ckx3F 1cz7ly6gDMXkH+he4XdzYGhYWGigqcJL7oH+JmeBOQAAAAAAAABcmVy4A1rNPxG/Z8/ps40yFPfQ lmEBIe45cT/++mdwa/2x7+a/9F1eYdSJ00XRjd11inf7we2Ln/wuqfljfcIMIiIebUYMDR0587FZ 8viQSNmzZPrHx/rMb2gUKbzYShSzs3kv4GanZVQcv154cMaf6SVOhjCFhNczkz8DAAAAAAAAuMq4 sgVHyvJnxi4/92v4+E9X3Pf4lOHPzpx0zyfGBh0HjXv5Vb8Zz78xaWWnD+5t4qb4tB8Ypd+Se0vv sLKiTa3Gvz/X9NIb701YnWWo33HI9LmPtvdQRLv4Sjw6Opl36AXc7KSM8+i9GrZoajt0NLNEzh1F WHZ7YH3OQoEAACAASURBVNMWYV4cPwgAAAAAAADgyqRpTkNZpZprdYwlYe4d926957MPhze4QuNa tSQ3Iy0t40x+UakqOjd3L7/A4JB6vnR/BgAAAAAAAHClSEpK8vT0VBRl+fLlsbGx5QmzpmmqqorI xo0bx40bp9PpdDpd3TqE0Bk19/CuPzYtXH66zYQb6l+h6bOI6Ew+weE+weGurgMAAAAAAAAALocr I4C2HF/z4uSvzb0nvBwbwnZhAAAAAAAAAKg7qmmzcWUE0Oa2E9dsnejqKgAAAAAAAAAAlSmKIk5i aPYTAwAAAAAAAABqBQE0AAAAAAAAAKBWEEADAAAAAAAAAGpOURR7F46qCKABAAAAAAAAADVUzQmE cqUcQggAAAAAAAAAqIMURbFn0A43QbMDGgAAAAAAAABQK1y2A9pisSQnJ+fm5tpsNlfVgH84vV7v 7e0dFhZmNptdXQsAAAAAAABwpbLvfVZVteol1wTQFovl4MGDAQEB4eHhBgNtQOAaVqu1oKAgISGh VatWRqPR1eUAAAAAAAAAV6Rq2kC7JvxNTk4OCAgICAgwGAzOjkcEapumaWazWVGU5OTkZs2auboc AAAAAAAA4MpTfQ9o1wTQOTk5ERERRqNRr9cTQMNVNE3T6XS+vr6JiYmurgUAAAAAAAC4UtkzXof7 oF0TQKuqajKZSJ/hWoqi6PV6k8lEI3IAAAAAAACgZspzZ4cBtO7yFnOOoiikz3A5/g4BAAAAAACA 2uOyABoAAAAAAAAAcHUjgAYAAAAAAAAA1FB5gwGHnQYIoAEAAAAAAAAANVRHe0BfYmrO/vWf/Xii xNV1AAAAAAAAAADKXC0BtC03fv3qH45bHGTsAAAAAAAAAABXuFoCaAAAAAAAAADAZVd9D2jD5S2m Wvm/TX3k8+iHuh1YsXZnqq5hlzseus3rh3kf/3Qoy9i495inxl5fTy8ian7CugWLvvrjSJbqH9Fj 6AP3xTY3pax+csKnqSKzH3hw74tzx0daD327+IM12xMzi3TejToN+r/xt7bycvDwpad/Xznvkx/2 pxR6hLXrN3LcHZ0CDeJ4Ck8HtwMAAAAAAADAP9wV1QO6+OiqT093e/ilWU/0LP110bOTvjYPefq1 Vx7qcObHJasPl4hIafLaF6etLuh476RXZkwYUv/gB9PmbM7ShQ2d9dptIW4t/z1//rhIU8mfH81a uLde//FTZkx9dHDon8vmfH6stMpUWlH84smvfVvadczklybfH128btbzHyUUO5tCvexLAQAAAAAA AABXuLq0A1pEFPeoUffEtPAU6029wjZsiBozvGtTkzQY0GXptpM5VhE5un59Wrvxk+/o4q2ING/s e/rAlG/icnr28tLpFBGdXqcomubRZui43jG9W3rrRMKVHV++mp5vFXE7f6rC+C835bcb+/idPfx1 Is0fK0149MOvD90VGXnCyRT+bIIGAAAAAAAAgMrszTcc7oCuYwG03ifM3ygiohiMeoNfQ383ERGd wWxQRETU/OOJ2YVH3hw/Sm9Pg1WLxRqSlmcVr3NjKObwnn3Nh/Zt+jox8dDBuJ3787SuIqLlbXv5 X2/sKRJRfK6b9Pa/A4+lWEP6RvjY94DrfCPaBpX8lpRb2sDZFP6VEmwAAAAAAAAA+Ke7cnpA2ylO fxERTdP0gTc/N/3WhuWFK3qzt5tUaJGhnvn9/Slv/WqMiunZ9YZ7brrhuxlzCkVE8erwyOtvl6gi is7sZ5bTlYZXdCKiqc6nAAAAAAAAAABUUHHXs6ZpmqZViqHrWA/ov6DzCgv3yElMFR9/f39/fz9z 2rq5732fZqv4Hi1v39qfimKemfH0mFt7XRsRpC+22NdAMfnVCwkJCQkJrudrVAx+TRoY0uISc+0X 1ZxDcRnGBuG+bhcwBQAAAAAAAACgbNezoijlP1R6w5UVQIs5YkDfegkLZy78bvehQ7u+nvvmlyeD W4e4iSgiipp/KiUz32r0DTLnJ2zfffT06eO71879368FRdmp2SWVjxH0uGbQ9Z5x789ZufXA4fjN y2YvOuDba1BLD+dTAAAAAAAAAAAuRt1rwVE9Y9M7pz1vnLd45avf5+iDrunzr+fvaemuiOiDorpF fPvp81PzXvrv6JEPxb61YPbTXxmDr4m54/EJ3u+9vXj2htYv3RJW8WkVjzb3z5jo/t4nC6Z/VuTR oO2Ap1+8o6W5mikAAAAAAAAAAFU4PH7QTqnmWu3ZsWNHVFSUmxv7iuF6paWlcXFxnTp1cnUhAAAA AAAAwBUgKSnJ09NTUZTly5fHxsaW933WNM1ms4nIxo0bx40bp7NzdbUAAAAAAAAAgKsTATQAAAAA AAAAoCbsDTY0TSv/odIbCKABAAAAAAAAADVhb77h7Fe58g4hBAAAAAAAAADUGeWhs8PjBgmgAQAA AAAAAAA15zB6tnNNCw6dTme1Wl0yNVCJ1WrV6/WurgIAAAAAAAC4CrkmgPbx8cnOzq4mFwcuD03T srOzfXx8XF0IAAAAAAAAcKVSFKVq92c71wTQYWFhGRkZqampFovFJQUAImKxWFJTUzMyMsLCwlxd CwAAAAAAAHBF0iqoetU1PaDNZnOrVq2Sk5Pj4+NtNptLagD0er2Pj0/Lli1NJpOrawEAAAAAAACu SIqi2KNnh5ugXXYIodFobNasmatmBwAAAAAAAABcWuVhdDnXtOAAAAAAAAAAAFz1CKABAAAAAAAA ADVUvuXZYQ9oAmgAAAAAAAAAwCVQNYN2WQ9oAAAAAAAAAMCVzuHZg+XYAQ0AAAAAAAAAqBUE0AAA AAAAAACAS6DqbmgCaAAAAAAAAABADXEIIQAAAAAAAADABQigAQAAAAAAAAA1VN52Q1GUqpugCaAB AAAAAAAAALWCABoAAAAAAAAAUEP0gAYAAAAAAAAAuAABNAAAAAAAAACghir2gC7/uZzhstcDAAAA AAAAALh6OGy+YccOaAAAAAAAAABADWmaZt/7rGla1SSaABoAAAAAAAAAUCtowQEAAAAAAAAAqLlq WnAQQAMAAAAAAAAAaqjqwYMV0YIDAAAAAAAAAFAr2AENAAAAAAAAAKihiv037EcRVrzKDmgAAAAA AAAAwCVQtRk0ATQAAAAAAAAAoOYURXHWCZoAGgAAAAAAAABQQ+XRs8MM2pUBtC177+qZD93R//ro 6OgeNw4bO33p9nSL/ZKauuqe7iOWpdhEzdqxfOHaxGIX1lm7xViOzB/a5db3Ei0VXiv8/bmYLmM2 ZGuiZa0fE32ern2G/WvOxpMWEZHifbNiu9y9IsX2189gyU0/cTg+bvfOHTt27I6LP3QiPdeiXsrn AAAAAAAAAPBPVrX/hrjwEEJr6vrJo57/XjrfOerJhyMCrCm71i958+HRB1/9eGqfIL14RA68e2Ar L0WsZ3asWLgt4LbBzc2O93BfBi4uRnHrOOHtR9uaRUQrzT+1c+Xr/3v6SZ9VH97X5MLu1yxZSQlH M0vKX7CVFuWmn8hNTw9sGtk4wOiydQUAAAAAAABwFbDvfa5LAbSasfGVl7/3vnvuose7+Nl3Yffs 26/j9Dsem7Xgju7PtDP7RN39rygREUu141wWOlcXY/Br1rptWw/7L+06RKq/xU7euDNrdBPfC7jZ ln/Snj4rHvXCG4X4e7hJaeGZtBNJpwtLMo8mGIzXNPTS12r5AAAAAAAAAK5mDqNnO9e04FDTfvr4 V/2NEx/s7HeuAJ1ft8fnzJkcG6RooqavGd1jxLKkxEUjhs8/YdnzXL8bX9xTVGEELXvDmJj7Vu9c PWl439vfTbCIqLlxnzw3akCP6Ojr+t/7wsr4PFVECndOiR362roV0x8Ycn3n7rF3P7t0X25Z4wnL qZ/nPHJb367R3frd8ei7v6SV2sctPPz5i/cP6BEdHR0z5OE5P6dbxWkxDkc4v7C47TNu6jFufaZ9 TjX1s3u7D3rrwN/LsRWjp7tBcTNd0HcHWvHp42klImIIaN4iPMjLpNfp9CavwPAWzQMMIlKSdvx0 sdO/DgAAAAAAAAD4G1wTQBcd3ZIokX1ae5d1f9BUm81ms4l3ZNfuUSHnekK4Nbnvk6UPNDRGvfjN hklR7pVGsSQumb5K7T3+4RtDDZYjSx4avzC35xNvL1n06uhGu14fP2lDuioiUnpi5fQleTf8Z/Z7 M0aE7vrv2IlrUmyiFex8Y8yEVaV9npq7+N2JMYXLn3hgdlyhiCVhwX9e/iXg9hfeWzDn8W7pHz8/ c2uu5rAYs5MRzi+saZsB3d3jv96do4mImrbli0NBsQOaGy92vTSr1Waz2Ww2a/GZ41s/en+H+fo7 O/tfwGenlWRn2nN7s5+nQdSClAO7du1PLlDF4Olrtn8WmdklJNAAAAAAAAAAaqT6Qwhd0oJDKzmT U2oK8j2bNOf/8kjv//xeloJ69Z+3bsa1Z9+q0xn0iih6vV5XpXprkc/dr88Y3kAvUhz3zoqTXZ6f O7a3ryLSOjLg1LAHV23L7N9XRBO/AdNeGB3tKdLxmoBTQ/9v2XcnhwxN+mhdTpfnPnooNkgn0vpl S9yt/1227+GoNplHskytYm/pGx2o6xTZsGHPtFA3kWIHxeTtdDxC5/MLk4IB1xknfrU3r0+MZ9qW Lw4H95/S5GLzZ63ox0f7dK3wQv1h77x9Y/CFfHeglhSUtX7OP7Jnh4iIwSe0SbCHTqx5Z8p2lJcU lKhipgsHAAAAAAAAgItX3n+j7vSAVozenvrizMxiTTwUEfG49pkPF+epIiUJ709894KHcasf3T5I LyKi5h6OP51/4Nmbe+rtMbVaUlIalpxjFRHFLaJnpKf9Do8WN7QxrYs7WRCTkFTa8NY2ZQ1AdP5t O9cv3ngoyxrddtTt4Y88d/Og5X169+zZq1+fTo3cFTWv6tylmU5G6OxZsTARz9YDuxqe/Wpffvem m9cerj/ghcYXvf+54iGEtsJT2z+eOW/KOzevmXStx8WOJOYGLSNCzVpx1omjx7JtF307AAAAAAAA AFwE1xxCaG7StYk27/u9uf1v8FVEdN6NW7cVETX9SF6h6n2hoyhGd7eybdGqpulD7prz/n3NyuNd Re/ha5S4yvcoimrTNKmcxetENFUVnU+nxz/+ftjOTT/9smXT3IfnvnXDtI9n3exwr7GTESoVJuLZ ZmC0TFm372jU2sOhA6c1cqtSkU4R1XZ+GqxaNdHpz857/iGEbUJSvr1j9a8nLde2cLgs5xVl8jRJ TnH579aC0yknpSgzPae0/DWTp8k1jVgAAAAAAAAAXOVcEz0aGvQb0dH68+xFO88eCSgiau7v7/8v zlaTfsQ6n6bNvbLikxX/oKCgoKBA9+SlL7z4ebJNREQrPbw5ocD+vsLEX+KLQ9rW9wyMbOx2clv8 mbLDAbP3bU81NokIUNJ/nvfa4oM+HQeMfuKlBZ8tuE3/y6d/ZKsOZnRzMkLVQF/xajfoWtvWDxet SGw4uF+V/FkMfk3q69N27Mmwnn1FKzy8ZX+Rf0R9k4OeKSJ67xBvpSir0FFZVSY3+QdWbJ1tDgwN CwsNNFV4yT3Q3/E8AAAAAAAAAPD3uGYHtOjrD5jy5A8jXx5325/DRw2IjvCznNi17sNVxxq19Tl6 /jsVEcWWm3Q8LdcjxMfoLCn1aDNiaOjImY/NkseHRMqeJdM/PtZnfkOjfYDstVOmNX1mRBtb3LJX V56JevrmcDfv4JE3e497ZfI83diYoPQf5r62M2DIovZeulLl8Jdz155xf+6u9qbU7at+yfLv2chD 56iY4I4ORxDJrlyb4t1+cPviJ79Lav5YnzAHAbVf93+NajR61rinTo8Z1KGBW+7hX1bMW53Xfcq9 rc1V91mLiKI36LWCrAKbiF5E1PwT8Xv2nD7bw1lxD23ZIrg8UlbM9cKDM/5ML3GycKaQ8Hpm8mcA AAAAAAAANaNpmv34wbrTA1pExK3hsNeW1f/kvY+/W/7qygy3hq2v7Tl23oyY1En3/3je+wwhXfu2 XTV/zNicxSsntjU7G87Uavz7c00vvfHehNVZhvodh0yf+2h7D0UKRRSvnk/d5/XVy4/MPuMVEfPY vMm3hRlEvDpNXPSa54y3Zz60sMCrcZe73lw4NspDRHo8M/PB6a/Pe+L+fNU9JCr22TmPR3nIaYfF OB7BUWLs035glH5L7i29HeTPIopH67HzFwS9886ydycvOlPqEdwi+s6ZH97fN9TZuYCm+s39LetW bcnoFiMikrL8mbHLz10NH//pigebnttorfdq2KKp7dDRzBI5dxRh2UCBTVuEeXH8IAAAAAAAAICa sqfP9h8URakUQ1f+/SpTuHPK4AmWV76e2eXiD+y7dCwJc++4d+s9n304vIGr0l61JDcjLS3jTH5R qSo6N3cvv8DgkHq+dH8GAAAAAAAAcFGSkpI8PT0VRVm+fHlsbGz565qmqaqqadrGjRvHjRun0+l0 Op3LdkD/Q6i5h3f9sWnh8tNtJtxQ34V7jXUmn+Bwn+Bw11UAAAAAAAAA4B+HALp2WY6veXHy1+be E16ODWG3MQAAAAAAAIB/lKs8gPboOH3jj3/9ttpjbjtxzdaJrqwAAAAAAAAAAGpN9YcQsisXAAAA AAAAAFBDFQ8hrHqVABoAAAAAAAAAUCsIoAEAAAAAAAAAl0DVLhwE0AAAAAAAAACAmtM0zR49V+3C QQANAAAAAAAAAKgh+yGEiqJwCCEAAAAAAAAA4FKq/hBCw+Ut5hyLxZKcnJybm2uz2VxVAwDgKqDX 6729vcPCwsxms6trAQAAAAAA53FNAG2xWA4ePBgQEBAeHm4wuCwEBwBcBaxWa0FBQUJCQqtWrYxG o6vLAQAAAAAA57gm/E1OTg4ICAgICDAYDA43ZgMAcIE0TTObzYqiJCcnN2vWzNXlAAAAAADwz6Jp mk6nExFVVatedU0AnZOTExERYTQa9Xo9ATQA4O+w/z/n6+ubmJjo6loAAAAAAPgnKj9+sOo5hK45 hFBVVZPJRPoMAPj7FEXR6/Umk4lDBQAAAAAAqGtcE0CLiKIopM8AgEuC/1MAAAAAAHAV5XyVrros gAYAAAAAAAAAXN1c0wMaAAAAAAAAAHAVqNr3uSJ2QAMAAAAAAAAAakXdC6ALdr/9wqcnsn+bOvKx VcnWyz1v6cXckl9WpJrx7dP3PLku3SZqzv71n/14oqTi1eqmy9vz2sjhw0dM25xT8VsCLe/3mfcM H37nizsKRUTN/P6Z4VXcOf2PQik5tHDsnU+uP+341C1XreTfYzny4cP3vrKryNG1GnxGlVT8gC4L 7czPk+554vOUS7P+l3Y0AAAAAAAA4JKo5nCmOteCo+jYtowWN9Z3S3fRvBdzj1to9wG963vrFEPj mIExTT10YsuNX786zuemXo1M1R+GVTadIU9ExPbnz/F5Pa7zKbtFKzz8c3ypSIURFPeODz51WxPj uVd0ng3MF/ZEl3sla09NPqNKLvgDAgAAAAAAAHAhFEWxd+Eo/6GiuhZAlxzfntKke5ibXObYtHze i2FqHHt3YxERaTnw7pYiIhe6Obd8uoOi04c09zz885/53Tp72zPR4sRNBw2NG7idrHCDwS88okUL U+VhLmSKqyaArtFnBAAAAAAAAMB16lgAbTn5x7EGXe4yiU1EtOIT37399ue/Hc0xhve854lx/cKM IlJ6+veV8z75YX9KoUdYu34jx93RKdAgkv/b1Ec+j36o24EVa3em6hp2ueOh27x+mPfxT4eyjI17 j3lq7PX19CKi5iesW7Doqz+OZKn+ET2GPnBfbHNP5bx5teLjPyye9+nmQ1kWc712N9338IjOgZK+ 7pknfr5x9is3BelE1Mzvnn3suz5vvhJbr+i3qeOXtZv5xjCPnyc9uuH6Vx8tfnXCp6kisx94cO+L c0c6fYRz04mIuIV27Zyy9qeEwuhOnoqIFB/9Zb+hw82Ndn1aeEWtpPnUmon/+b7LrDdHNHYrPfrR Y09/qb/t9f/eGe5mSfzwsefiBsx+dXBgloMZtdzNU/69Pubp3vELlh3rPGVG1wrP8M2rkz4qGjxt 8rDm7kr5E9W4QlPK6icrfEDjI62Hvl38wZrtiZlFOu9GnQb93/hbW3k52BjteKGq+XNywtk4penb lr73yU/7U21BkdcNG3t/n3CzohVcWG0AAAAAAACAy9n7bzg8jbBu9YAuTd1xqF63pu5lv3y1eE/4 iEkzpz3UU928aNGOPE20ovjFk1/7trTrmMkvTb4/unjdrOc/Sii231x8dNWnp7s9/NKsJ3qW/rro 2Ulfm4c8/dorD3U48+OS1YdLRKQ0ee2L01YXdLx30iszJgypf/CDaXM2Z6nnzVt6bNWr83f4xT4y dfpzoztkffX2wl351Z3heB5Dg6GzXrstxK3lv+fPHxdpcvIIlR9TxBh2XSfzwU2H7W2PS5K27JWo 6xtXahGh2c6nVl+WC1ZSCYrq4J+5JyFHFTXncHymSFpcYr4mtjMJ+84EdWwXYHE+o+X42v99q3Yd flf3oLNfidgytvxv2pLM3k8/M6y5u1LpiWpWoS7svA+o5M+PZi3cW6//+Ckzpj46OPTPZXM+P1Z1 C7vThXL+5+SQs3G0grgFk/+7xb3fI9NfnjgkZO+8qfN2F2gXVhsAAAAAAABQF2hnVb1Up3ZA207v ivft2v9sMKtrOWLs4A4BOgkfNvibH744lWsTXfyXm/LbjX38zh7+OpHmj5UmPPrh14fuimwnIop7 1Kh7Ylp4ivWmXmEbNkSNGd61qUkaDOiydNvJHKuIHF2/Pq3d+Ml3dPFWRJo39j19YMo3cTk9e/mr 5fMWn0nOMTbt0btrGz9d6yYhIddm1ruYjg+KTqdTRHR6XVnLbQeP4G2o9JgixkY9rnV7bdORovZt 3S3JW3fb2oxvYt5UcWAt78cX7vux4ithI956bWhg3VrJrtGt3Tf+cayon8eJ3afrd29fuGfn8eJe zY7tTPVs2zG0NP4thzO2FRFbidegiY/GButFLEdERM3d/eH0OXtaPvrayHb2xiTnP1GNP2uvcx+Q pnm0GTqud0zvlt46kXBlx5evpudbRSp94IVOFiryhLM/J8f7lJ2M0yJ8zxebS7tNfHjwtZ6KRI55 JC3/u/Qc6zWOa6tT/1wBAAAAAACASqq2ga5LiZYtc0+ce5deZxsNGAJbNPa279A2GA2KiIj1zLEU a0jfCB/7yzrfiLZBJb8l5draeYrofcL8jSIiisGoN/g19HcTEdEZzPZ71fzjidmFR94cP0pvn0C1 WKwhaXlW8ckun9ccOfim+jPeGvfwum5dO3Xs3K1Lm/omxVbjJ3LwCFUeU0QUU+Oe7XVv/nKsuG1E 6m87i1uNaeaunBdAVzmEUGcOqqcXZ/ttXbSS5vCuEbJgZ3J+wL7jpqgHeqXvXhqXmm/elaRveXO4 /swGxzO2dRcxBLWJ9NefLV8r2jN/9j7RVGN6oSqB+qpPVOPP2qvCmprDe/Y1H9q36evExEMH43bu z9O6ioiWt+3lf72xp0hE8blu0tv/DnS8UKUNnEyRl/BqhdufaFc2m7MFL/Y4lKKGDm/ioYiIKJ5t Rj/bRkREHNUGAAAAAAAAXGHqUACtntm709D5Ie+zwaxiMLs52kxa8TVFJyKa6uiSVL5X0zR94M3P Tb+1YflDK3qzt1vFeRXPNqNmLex3YMf2HTt3LHtx2ZLoR2b9p+f5w1hLrBfalcPRI1R+TBERMTWJ aae9/UtSvtee7QWRo1p4KCfOv+uiDiF01UoqSkS3RoVf7jvSML6w4bBmkdkhuRsPHPE4WNx4WDMP KahmRsXt/Ao924+bMaLwnaeWLd4c81zvQL2DRatRhRUje/XM7+9PeetXY1RMz6433HPTDd/NmFMo IopXh0def7tEFVF0Zj+znHZStrMpzCHn3X7eZ+RwHJsqir5SKxwntQEAAAAAAAB1TvmuZ0VxEELW nR7QWm78H1qntr7VVWTwa9LAkBaXmGtPgNWcQ3EZxgbhvvpq7jlL5xUW7pGTmCo+/v7+/v5+5rR1 c9/7Ps1WcV5b5u8rP/jiqFfr628Z/dj02dNv1O/8dr99srOxs1Z44sDpv9GN18ljujeNaWPd9fOO Lb/lNr8hstqj7Go6xXlqYyVFdL7XdAnO2PrT5rSgDo09/SKj/FJ/+enXrJCukd7KRcyouEfe2C2s Ub8HBvjt/XjZ3nztQp7owiqssEp5+9b+VBTzzIynx9za69qIIH2xxV6ZYvKrFxISEhISXM/X6LRs N2dTnH/7Xy64ObB5sKTGHS+yv14Y9+6/H5t/IMNJbQAAAAAAAMCVpc4E0Fr+n9uL27cLqD4B9bhm 0PWece/PWbn1wOH4zctmLzrg22tQS48LmsEcMaBvvYSFMxd+t/vQoV1fz33zy5PBrUPcKs6rMyrH f1r2zqL1uw4l7v91/bqdOT5N6rsbPEOClBPffbX9aGry/m8WfXywxFGULyIiioii5p9KycwvdZwY On1Mj+Y3XFP804dr05v0usa76vCl2ccS/jxPYpo9s9SKUg9XuJSQlJl10DUrKSL6oHYdvE5sOezW qoWf3i0kqrkkbjnuE902QF+DGU3Nb33getm08IsjmRfyt3FBFZ77gKxG3yBzfsL23UdPnz6+e+3c //1aUJSdml1Sua2Js7KdL4JjTsZR/DoM6aJuevd/X+9ISNz7/QfzNhW16NrI+8JqAwAAAAAAAFyu vOmzw3MI60oLDq3w0G95bYfV+4uMUfFoc/+Mie7vfbJg+mdFHg3aDnj6xTtami9wDmPTO6c9b5y3 eOWr3+fog67p86/n72lpLtxVYV7F+9oHn7jtfx+snDmpUDMFtuz5f8+NjDSLEnXv2D5vfvjW0xu9 wzsNvn9M4Zy1TqbQB0V1i/j20+en5r303zscvcH5Y3q0uKGVbtvOZr1a+1TNn7XiXQtf3HXeS543 rfsrxgAAIABJREFUTHvvQYOIpK9/c+r6c6+HDhwVntd2+GVfSXdFRMStQac2nl/92qRdqFFEa9Sp sbL1VLsOIW7VzOh8b6/iHXX3yHaPzZ/zXhOftg//1RNdUIUVP6DRIx+KfWvB7Ke/MgZfE3PH4xO8 33t78ewNrV+6JazivwqnC+V8ERw/jLNxfKMfnvHIkvdWzp68pNSnSff7nrk/ystddVzbjBsuYg0A AAAAAAAAl6t8KOHlsWPHjqioKDc35/tFrwh5v059aHm7mW/c3rCu5PgA8I9VWloaFxfXqVMnVxcC AAAAAMBVLikpydPTU1GU5cuXx8bGytnuz6qq2mw2Edm4ceO4ceN0di4u9splK0g5uD/dajAZ/lbD ZgAAAAAAAAC4WhFA11BJwuKpr29yv/7WbhfVGgIAAAAAAAAAriLK2RPzFEdH59E7ooZM1zzy/opH XF0FAAAAAAAAALhSxUMIFaVyz2d2QAMAAAAAAAAAak5RFIfbn4UAGgAAAAAAAABQS1wTQOt0OqvV 6pKpAQBXJavVqtfTlB8AAAAAABfQNM3eeaNS/w1xVQDt4+OTnZ1dtRoAAGpA07Ts7GwfHx9XFwIA AAAAwD9RnWvBERYWlpGRkZqaarFYXFIAAOCqYbFYUlNTMzIywsLCXF0LAAAAAAA4j8Els5rN5lat WiUnJ8fHx9tsNpfUAAC4Ouj1eh8fn5YtW5pMJlfXAgAAAAAAzuOaAFpEjEZjs2bNXDU7AAAAAAAA AOCSqKbZsmtacAAAAAAAAAAArg51rgc0AAAAAAAAAOAqUzWGdlkLDgAAAAAAAADAVYAWHAAAAAAA AACAy40AGgAAAAAAAABQc9X0gKYFBwAAAAAAAACg5mjBAQAAAAAAAAC43AigAQAAAAAAAAC1ggAa AAAAAAAAAFBz9IAGAAAAAAAAANQKekADAAAAAAAAAC69atJnIYAGAAAAAAAAANRYefMNh104CKAB AAAAAAAAADVX3gO6agZNAA0AAAAAAAAAqBUE0AAAAAAAAACAS6BqP2gCaAAAAAAAAABArSCABgAA AAAAAADUUPmu56rbn4UAGgAAAAAAAABQSwigAQAAAAAAAAC1wuDqAgAAAAAAAAAAVypFUezNNxRF qXqVHdAAAAAAAAAAgJpTFMVh+iwE0AAAAAAAAACAWkIADQAAAAAAAACoFS4KoLWs9WOiz9O1z7B/ zdl40lLbM6upq+7pPmJZik3UrB3LF65NLK7tGZ0p3DmlX9/JOwr/4m1Fu6ff1OeZ7YUVKv87au2p tcLD3639I8NagzuLUvbt/DPLKiJafvzqhav25amXrqqENQtX7j6jlqZuXbvpRLHm/K2qJTf9xOH4 uN07d+zYsTsu/tCJ9FzLJSsEAAAAAAAAuGppZ1W95MJDCBW3jhPefrStWUS00vxTO1e+/r+nn/RZ 9eF9Tdxqc1qPyIF3D2zlpYj1zI4VC7cF3Da4udlxe5K6przyv6O2ntqS8sduW+sBgTX4g1KLT+3b ddK9dcsAg7gFtmgXGWS89B+IW3C7iN+/3Z0R2q2egxI1S1ZSwtHMkvIXbKVFueknctPTA5tGNg6o hXoAAAAAAACAq4a9AXRdC6DF4Nesddu2HvZf2nWIVH+LnbxxZ9boJiG1uC9b5xN197+iRERqfbP1 JXau8rpHK0zafdK3XVePv5nUKqaQdl1CLk1Nlei8mrQyf7En5dp+4aZKl2z5J+3ps+JRL7xRiL+H m5QWnkk7kXS6sCTzaILBeE1DL32tFAUAAAAAAABc3epOD2jF6OluUNxMBhERNTfuk+dGDegRHX1d /3tfWBmfp4pI4c4psUNfW7di+gNDru/cPfbuZ5fuyy1rkWA59fOcR27r2zW6W787Hn33l7RSERHR Cg9//uL9A3pER0fHDHl4zs/pVhE1fc3oHiOWJSUuGjF8/gnLnuf63fjiniInI2jZG8bE3Ld65+pJ w/ve/m7c9hk39Ri3PtM+p5r62b3dB7114Lwc29GMtpRlI7rfsyq17La0z0b2uHvlqbJGGpaT37wy ZmDP6OtuvHPiop3ZZe/Ji18+aWT/7p27Dxg9dc2Rsr4RZZWn2M6vKsHiZLlExJLyw38fGtq7S3TM 4DHT1xwutByrlacWrSBpf5Z/ZMjZZNeWf2zbupVLFsxfsGTl+u3H81URkdJTP368fOuhfT+vXbZo /sKPP/t+b3qJJuqZXZ99uiPXlrpxyZJNqZaCg58vKmvB4XAQKTmy9oPVe4/H//TFskXz3/9w1Y8H z9i7fmgl6ft/WrP0g/nz5y9Y8um3u1NLKn3foriHtfA8tT+lcvcRrfj08bQSETEENG8RHuRl0ut0 epNXYHiL5gEGESlJO366utYdAAAAAAAAwD+Zoij2/hv2fdCVuDSA1qxWm81ms9msxWeOb/3o/R3m 6+/s7K8Ty5ElD41fmNvzibeXLHp1dKNdr4+ftCHdHmKeWDl9Sd4N/5n93owRobv+O3bimhSbaAU7 3xgzYVVpn6fmLn53Ykzh8icemB1XKGJJWPCfl38JuP2F9xbMebxb+sfPz9yaezZIdGty3ydLH2ho jHrxmw2TosxORhARsSQumb5K7T3+4RubthnQ3T3+6905moioaVu+OBQUO6C5scIDVTejI2rODy8t yu791Jx5L93TcN/c8Y8tO24V26m1Tz74+u/1hr/43jvP9C9d9sq32VUbK5+rKtTgZLm03G0z73/6 G4+h0xZ8+NrosO0zxs74I6A2nlqkJONojkfDgLLWKZZTv675Nt7WpPuAWwd0b1K6b8Pa38q+EbDl 7vs5rqTxdTcP6tPWO/XXL789mCd+HYbd1tFHH9Jn5Mjr659rvuJ8ELFl7t563K9j7G233dhSDm/e nFQkIta0bRu2nPRqc8OgWwb1ifJN2/7DrsxK3bIVU1ADU+axrNLz/whLsjOLRETE7OdpELUg5cCu XfuTC1QxePqaRUSkKDO7cpoNAAAAAAAA4AK4sAWHVvTjo326Vnih/rB33r4xWCfFB1esONnl+blj e/sqIq0jA04Ne3DVtsz+fUU08Rsw7YXR0Z4iHa8JODX0/5Z9d3LI0KSP1uV0ee6jh2KDdCKtX7bE 3frfZfsejmqTeSTL1Cr2lr7RgbpOkQ0b9kwLdRM5uwFWpzPoFVH0er1OydvpeITOImIt8rn79RnD G+hFpGDAdcaJX+3N6xPjmbbli8PB/ac0OS+JLXU4YzVLIAG3TH9h1LUeZY/z4Kr1SUNv3rz0D69b 588Y09FTpNM1fsm7xnxV5c4KVRXHveNwuXrs+nCDpd/rU0d191Gk3VMvJE9anZxti770Ty22/NQc xS/AbP82oyR1T0JJWEzfzhEeiki9vrbU5b/uTe8cEiyiiblFr17tGxhFQuu5569Yuzcxr2UHL50i oig6nSLlMa+zQcJERNV8OvRs38hLEf+oqHr7d54pVsVdM4ZeGxPZomV9syISoCTFfZNXolb6gkXv FeRpPZZRpDZwO/e6WlJQ1vo5/8ieHSIiBp/QJsEeOrHmnSkqq6agRBUzXTgAAAAAAAAAR+pmD+iK hxDaCk9t/3jmvCnv3LxmUvv8w/Gn8w88e3NPvX3LtlpSUhqWnGMVEcUtomekp/1+jxY3tDGtiztZ EJOQVNrw1jZ+9lBR59+2c/3ijYeyrNFtR90e/shzNw9a3qd3z569+vXp1MhdUfOqVlKa6WSEzp4i bvWj2weVZY+erQd2NTz71b787k03rz1cf8ALjc9PYt0dzWjLdr4ExsieER4VHufLA2n5HfanGlv9 q0XZU7o369HS/HWVO89VpeY6Xq6C1H3H1PDxLeyHFire0U/MiRYRy5FL/tSiluRZDJ5uZdMXZeSo Pq3qlZ1xqLgHh3lZj2YWqcEiii4gPLDsZreAxvUMCel5NvGqujBOBwkzieg9gwPtFxS9m14REU3E LSCilVt6yqG9p9PTU08eTynWmjpab3e9Jb9YFR/nO//NDVpGhJq14qwTR49l25y+DQAAAAAAAMBf qzuHELYJSfn2jtW/nrS099Y0fchdc96/r1l50KnoPXyNEldpAEVRVJumSeVgXSeiqarofDo9/vH3 w3Zu+umXLZvmPjz3rRumfTzrZofRo5MRREQUo7tbee8SzzYDo2XKun1Ho9YeDh04rVGl/c0OZ+x/ 3lvU0uJSJ+0cFEWnN+gURadUetVB65QKValOluuoVROdobptu5foqUWk2rMHFZGqn5GIKIqI6uhb kb8aRG/QV55QKzz2y9qNRwwNW0Q0bdGldYsD6350cMikoihVnlpn8jRJzrnG0NaC0yknpSgzPedc qw6Tp6nuNEsHAAAAAAAA6hiHe5/t6k6upvcO8VaKsgpVnU/T5l5Z8cmKf1BQUFBQoHvy0hde/DzZ JiKilR7enFBgv6Ew8Zf44pC29T0DIxu7ndwWf6bsmLzsfdtTjU0iApT0n+e9tvigT8cBo594acFn C27T//LpH2XH/J3PzckIVdN5xavdoGttWz9ctCKx4eB+lZNYm/MZrcWlqoiIVnBk16nyaFSzJGw+ XNZ1ufDwpviSBu0beIe2C7Ue3HSo7CmLjmw5WFRdSOtsudyCW4fK8d8OF9pvzt829dZhL+8quvRP LaIzeRmtRWW5us490FeXd/LsuX1aUfrJfL1fgLtORDQ163hm2dOXZielWz2DvRx+BVLdIA4Vp8Ql lLbof0tsjw6R4cFeulKrozVTLYU2N6/zw2TF5B/oXuF3c2BoWFhooKnCS+6B/qZqI3YAAAAAAADg H6s8fa5rLTgqUfQGvVaQVWATjzYjhoaOnPnYLHl8SKTsWTL942N95jc0iogokr12yrSmz4xoY4tb 9urKM1FP3xzu5h088mbvca9MnqcbGxOU/sPc13YGDFnU3ktXqhz+cu7aM+7P3dXelLp91S9Z/j0b eZwLHxURxZabdDwt1yO4o8MRRKp0z1C82w9uX/zkd0nNH+sTVnnxdCZHM7p5NayvJH72yY+d72me 9+vC2buKdfXLS8j+cur0xhPvvMYWt/TVT/O6vHBTmDmo793Rc6c/83zYMyM7uB389I01WVJtI2kn y6Uzdx/d678TX5je8tmR15oOr3xpfUGH2c3NSsalfmoRvXd9P21HVrG9t7IpNKqF8avNP+xQOoV7 FBz7fcsp91a3hJR9fMV//vizf8929bTUvZv3F9fvGeGrExFRtOKcnPwSN4+zQzodpMTxIhjcPQ0l 6cdOZHgG684k7vjliKU0JKfA2sC34pts+acLDEH1PM6PsRVzvfDgjD/TnYwsppDws61AAAAAAAAA AFRVN3tAV2aq39zfsm7VloxuN7Ua//5c00tvvDdhdZahfsch0+c+2t5DkUIRxavnU/d5ffXyI7PP eEXEPDZv8m1hBhGvThMXveY54+2ZDy0s8Grc5a43F46N8hCRHs/MfHD66/OeuD9fdQ+Jin12zuNR HnL67HyGkK59266aP2ZszuKVEx2P4KhvhE/7gVH6Lbm39K6axCq+DmdUuv5n0i3PvjHpns99I2JG Pfl0/qQlZTcYG4967s6MD19++M1c32v6Pr3wmQEhepH6g159v2jmy4snj53v3erGB15+YPVLidUu nOPlkoAbpi6c9uaM9yaNedPiH3njhLee7OqjKPpL/dQiYgxq4luYlFna1tskIsYG3W+5yW3Tts1f 7yw1+jVo239IdIibSKmIYgzv0cGY8MvXvxUbAxp3GxxzjY9ORDzDmgbH//HFl8W33t6+fEjHgzjj FtqtV+uNm39YHaf3Do3s1OdG86Yff/1hX4NbIs+9RyvJSCkJaBtQZRi9V8MWTW2HjmaWyLmjCMvW NrBpizAvjh8EAAAAAAAAakSppj1HXVO4c8rgCZZXvp7ZxeOv31xrLAlz77h36z2ffTi8wT8ol/yL p9YKD61bc7TtbTc1Njm4ald66sdl39j63tMvrNoN3bVGKzy07oukdsP6hTuuUS3JzUhLyziTX1Sq is7N3csvMDikni/dnwEAAAAAAICKkpKSPD09FUVZvnx5bGysnN0Braqqqqqapm3cuHHcuHE6nU6n 09WhHdB1n5p7eNcfmxYuP91mwg31/zHp84U8teLRuEPY7r0nCsMjPOpotwo1/9jB4qbdGjhNyHUm n+Bwn+Dwy1kUAAAAAAAAcKWzp88Vf6iI7Z0XwXJ8zYuTP8q6fsJzsSH/nIW7sKc2Noi+Vh8fn2m9 jJVdjNL0vYd9u3QI4hsXAAAAAAAA4BJTFMVh+ixXVgsOAAAAAAAAAIBrVWrBUZ4+q6pqs9lowQEA AAAAAAAAuDTKtzg73Ov8z+kkAQAAAAAAAAC4rAigAQAAAAAAAAC1ghYcAAAAAAAAAICac3YCoRBA AwAAAAAAAAD+Dofdn+1owQEAAAAAAAAAqBUu2wFtsViSk5Nzc3NtNpurasA/nF6v9/b2DgsLM5vN rq4FAAAAAAAAuAq5JoC2WCwHDx4MCAgIDw83GGgDAtewWq0FBQUJCQmtWrUyGo2uLgcAAAAAAAC4 8iiKYu8B7bATtGvC3+Tk5ICAgICAAIPBUE2DaqBWaZpmNpsVRUlOTm7WrJmrywEAAAAAAACuSNX0 gHZNAJ2TkxMREWE0GvV6PQE0XEXTNJ1O5+vrm5iY6OpaAAAAAAAAgCuSpmn2jNdhDO2aQwhVVTWZ TKTPcC1FUfR6vclkohE5AAAAAAAAUBtcE0BLhc4ggAvxdwgAAAAAAADUHpcF0AAAAAAAAACAqxsB NAAAAAAAAADgEqjaBpoAGgAAAAAAAABQK66WAFrN2b/+sx9PlLi6DgAAAAAAAABAmaslgLblxq9f /cNxS+Ud3gAAAP/P3n3GV1FtfRxfc3raSU8gCaGEElqEEHoTUBBExI4FFFSKeFGvXn3kKnaxi6gg oKggigqCIIgISBGkg6GH0EII6b2eNs+LAyHAOSHhEgL4+77wk8xM9tozZ8cX/2zWAAAAAABqkqqq zuYbiqKcc+paCaABAAAAAAAAALVBUZTzo2cn3WWeSmUKN740dkHcmE77vl+0PVUT0eGuMXd4r5r2 zeqD2Yb6vUY8O7J7sFZEHIUJSz+f+cvWw9kO/8Zdb3v4oX5RxpSf/vP0j6kiHz38yK7Xpoxuaju4 /KsvF24+lFWi8anXbuCjowdHe7u4f2vGlh+mzVm1J6XYM7z1DQ+MuqtdoE5cl/By/fgAAAAAAAAA 4J+sPHp2mUFfYTugS4/M+zGj02NvvP1UN+tfM5//7xLToOfenTimTe4fs35KLBMRa/Ki1175qSj2 wf9OfP3pQXX2f/nK5D+zNeG3vf3uHaH6Zv+aPn1UU2PZgdlvf7Er+KbRE15/adwtdQ98N3nBUet5 pdSSvV+98O5ya8cRL7zxwvC40qVvvzg7odRdCcdlfxQAAAAAAAAAcJW7knZAi4jiETP0/h5NvMTW 9/rwZctiRtzdsaFRwgZ0+HbTiTybiBz59de01qNfuKuDjyISVd83Y9+E3+Lzul3vrdEoIhqtRlFU 1bPlbaN69ejVzEcjEqlsW/xOeqFNRH92qeK9i9cWth755D1d/TUiUU9YE8Z9veTgkKZNj7sp4c8m aAAAAAAAAAA4i6qqzr3PzjbQ57jCAmitOdzfICKi6AxanV+Ev15ERKMz6RQREUdh0qGc4sMfjh6q dabBDovFFppWYBPvM2MopshufUwHd69dcujQwf3x2/cUqB1FRC3Y9Obj7/9dIqKYO//3438FHk2x hfZpbHbuAdf4Nm4VVLbxWL41zF0J/3MSbAAAAAAAAACA6+jZ6QoLoEVEcfuNiKiqqg3sP/7VwRHl E1e0Jh+9VGiR4cjdMmPCpL8MMT26dex5f9+ev78+uVhEFO82Y9/7uMwhomhMfibJOGd4RSMiqsN9 CQAAAAAAAADAeSrZAX2F9YC+AI13eKRn3qFUMfv7+/v7+5nSlk75bEWaveI1asHuRatLevzf68+N GHx928ZB2lKL874Vo19waGhoaGhIsK9B0fk1CNOlxR/Kd5505B2MzzSERfrqq1ACAAAAAAAAAHBh V1cALabGA/oEJ3zx1he/7zx4cMeSKR8uPhHSIlQvoogojsKTKVmFNoNvkKkwYfPOIxkZSTsXTZn6 V1FJTmpO2bmvEfRsPrC7V/yMyT9s2Je498/vPpq5z/f6gc083ZcAAAAAAAAAAFTHldeCo3KGhve8 8qJh2lc/vLMiTxvUvPfjL97fzEMR0QbFdGq8/McXXyp444NhD4zpN+nzj577xRDSvMddTz7t89nH X320rMUbt4ZXvFvFs+Xw15/x+GzO56/OL/EMazXgudfuamaqpAQAAAAAAAAAoDqUSvpD15xt27bF xMTo9ewrRu2zWq3x8fHt2rWr7YkAAAAAAAAAV4Fjx455eXkpijJ37tx+/frJ6R7QDofD4XCoqrpy 5cpRo0ZpnGp7tgAAAAAAAACAa9PV1oIDAAAAAAAAAHAlce6Adokd0AAAAAAAAACAGkEADQAAAAAA AACoEbTgAAAAAAAAAABcPFVV3Z2qnR3QGo3GZrPVSmngHDabTavV1vYsAAAAAAAAgKuby07QtRNA m83mnJycSnJx4PJQVTUnJ8dsNtf2RAAAAAAAAICr3vmRb+0E0OHh4ZmZmampqRaLpVYmAIiIxWJJ TU3NzMwMDw+v7bkAAAAAAAAAVytFUVxuf5ba6gFtMpmio6OTk5P37t1rt9trZQ6AVqs1m83NmjUz Go21PRcAAAAAAADgGlRrLyE0GAyNGjWqreoAAAAAAAAAgJpWawE0AAAAAAAAAOAaUMnb/mqnBzQA AAAAAAAA4JpHAA0AAAAAAAAAqBEE0AAAAAAAAACAGkEADQAAAAAAAAC4eIqiKIri8hQBNAAAAAAA AADgEjg/hiaABgAAAAAAAADUCF1tTwAAAAAAAAAAcBVTVdXdKXZAAwAAAAAAAABqBAE0AAAAAAAA AKBGEEADAAAAAAAAAGoEATQAAAAAAAAAoEYQQAMAAAAAAAAAagQBNAAAAAAAAADg4imKoiiKy1ME 0AAAAAAAAACAGkEADQAAAAAAAACoEbrangAAAAAAAAAA4Cqmqmr5f8/BDmgAAAAAAAAAQI0ggAYA AAAAAAAA1AgCaAAAAAAAAADARVIU5ZwvKiKABgAAAAAAAADUCAJoAAAAAAAAAECNIIAGAAAAAAAA ANQIXe2UVbN/fbjvi/EVjmjNke0Hj31+dJ9wQ7VGcqTOG3r7/IHzvrk3TFvds9XjsORnpqVn5hSW Wu2qVu/h5R8UGhpkNpDhAwAAAAAAAIArtRRAi4go+tinPx7XyiQiqrXw5PYf3pv63H/M875+qIG+ OsN4Nr35vpujvV30t77w2SpTLdnHEo5klZUfsFtL8tOP56enBzZsWj/A8L+ODwAAAAAAAADXnloM oEXn16hFq1aezm9at2nq2NjvhZXbs4c1CK3GpmKNOea+x2Mu7mxV2QtPONNnxTM4sl6ov6derMW5 acePZRSXZR1J0BmaR3j/zxusAQAAAAAAAOAac+X0j1AMXh46RW/UiYg48uPnjB86oGtcXOebHnz5 h70FDnFkLHm08/XPbyx0Xu7IXv5Yl57P/pmbvnBY13u/S7GLWpy44LXhA7rGxcX1GPTY5DXpNhFH +VkRy8k1k8fe0adjXKcb7hr36bo0q4iI5K98tMfQb9f/+MqIQd3jOvS+d8KCI2VnT0wtzUhKKxMR XUBUk8ggb6NWo9EavQMjm0QF6ESkLC0po1S9fA8KAAAAAAAAAK4OtRpAqzab3W632+220tykDbNn bDN1v6e9v0Ysh2eNGf1FfrenPp41851h9Xa8N/q/y9IlsP0tzcu2LEsoFhFR83cu3mXqensb8+nB LAmf//vNdQF3vvzZ55Of7JT+zYtvbcg/EwurRdvfH/H0PGvvZ6d89ekzPYrnPvXwR/HFznNlB756 d0PkI+/P+fbtWxzL3n57TXbFOFkty8kqERERk5+XThxFKft27NiTXOQQnZevSURESrJyykigAQAA AAAAAOBstdiCQy35Y1zvjhUO1Ln9k49vDNFI6f7vvz/R4cUpI3v5KiItmgacvP2ReZuybrq54y3N ij77LbE0NsaYv3PR38Zu77f2lqJTP23NOpxtjO53a5+4QE27phER3dLq6kVKT50t2D57aV6H8bPH 9AvSiLR40xI/+IPvdj8W00FEHGrEQ//3YJdQjUQNG9byx8+P5tokoLwPtaOs6NSW6MLDf28TEdGZ 6zYI8dSIrSDXmUxLWVGZQ0x04QAAAAAAAACACq6QlxDai09u/uataRM+6b/wv9cVJu7NKNz3fP9u Wue7/RxlZdbw5DybplHnW5q88+Wqo5bWYfGL/zb1eL+ll5QH0B6tht4ZOXZ8/4Fze/fq1u36G3q3 q+ehOAqcJ61ZCcesEYNb+jl3fGv8W7WvU7ryYLatg1lEH9yqqfOERu+hV0Sksu3MprBmjeua1NLs 40eO5thr5tEAAAAAAAAAwDXgynkJYcvQlOV3/fTXCct1PqqqDR0yecZDjQynL1W0nr4G0QR3Hhj1 /rerjw2LWbzDo9ek5p4ijtOXaMztnvxmxe3b165et37tlMemTOr5yjdv9y9vMXJupqwRUR2nflhv MihuZ6kxehklr7T8e1tRRsoJKclKz7OWHzN6Ga+cZtoAAAAAAAAAcGW4cnJTrU+oj1KSXezQmBtG eWfvTVb8g4KCgoICPZK/ffm1Bcl2EdGGdh3YIH3FbysW7vTsPaiZR4Uft6evmfbuV/vNsQOGPfXG 5/M/v0O77setOafjaX1g0/r6E5v25joPOHJ2b041NGgcUIX8XTH6B1YsZAqsGx5eN9BY4ZBHoL/R fYINAAAAAAAAAP9MtbkD+myKVqdVi7KL7OLZ8t7b6j7w1hNvy5ODmsrfs1795mjv6REGEREc3gBr AAAgAElEQVRtaNebI9/7cFJy2D1fNamYAYvGqCQunrIo12P8kOuMqZvnrcv271bPszxf94l9oL/P qIkvTNOM7BGUvmrKu9sDBs28zlsk/8ITMwVHhmQeSC9zc94YGhlsIn8GAAAAAAAAgHNcOQG0GOtE +VuWzluf2alv9OgZU4xvvP/Z0z9l6+rEDnp1yrjrPJ0Rr65u9wGNPpxc2q//mf4cIiKi+Hb9v7ce efW9aU8NL3R4hMb0e37ykzGeknH6tHe7Z2a+6/X6x2+N+aLIu36HIR9+MTLGs4oz03pHNGloP3gk q0zOvIrw1KQDGzYJ9+b1gwAAAAAAAABwHkVVK3vjHs5wlOVnpqVl5haWWB2i0Xt4+wWGhAb70v0Z AAAAAAAAwD/HsWPHvLy8FEWZO3duv379FOVUewhVVe12u6qqK1euHDVqlEaj0Wg0V9AO6CudxmgO iTSHRNb2PAAAAAAAAADg6sD2XQAAAAAAAABAjSCABgAAAAAAAADUCAJoAAAAAAAAAECNIIAGAAAA AAAAANQIAmgAAAAAAAAAQI0ggAYAAAAAAAAA1AgCaAAAAAAAAABAjSCABgAAAAAAAADUCF1tFbZY LMnJyfn5+Xa7vbbmAACXgVar9fHxCQ8PN5lMtT0XAAAAAACAy6p2AmiLxbJ///6AgIDIyEidrtZC cAC4DGw2W1FRUUJCQnR0tMFgqO3pAAAAAAAAXD61E/4mJycHBAQEBATodDpFUWplDgBweaiqajKZ FEVJTk5u1KhRbU8HAAAAAADgUlJV1Znxqqp6/tnaCaDz8vIaN25sMBi0Wi0BNIBrm6qqGo3G19f3 0KFDtT0XAAAAAACAy6p2XkLocDiMRiPpM4B/AkVRtFqt0Wik5T0AAAAAAPinqbX+y4qikD4D+Ifg /3gAAAAAAOAa5sw9XKYftbMDGgAAAAAAAABwzSOABgAAAAAAAADUiFprwQEAAAAAAAAAuAaoquru 1NURQDsK9i2eMXPxlmNFnvVib37o0Vtb+2mldO/HY99X//3puJamiteqBesnPPzRgbMHMHZ4Yfoz MR5iz43/+avvV247mG1o0HXI2IdvqO9RWVdWe9a2eV/OW7vrUIbdP6rLnY88eEOUlyIiFxrHemLx hP9bEfvme3fV01cY7eTP49/KGfnuQ1GGU5cdmT3uucVZ5RcorZ/78sV2nm6PO3K2zHh98src9i9V uOmzarl5JiIi9pyd86fP+m1nssUvKrbvAw/f2tKsETlnTFf3VcmYlTvnfqs7TvXrqmUnN3z72ber 92dYvMPb3PTgyNvb+GurN2dxvdj+l0V17mJQy06snjnlh/WJ+V6NOt855pEbIk2VdwZ2PX7FD66F 4vrG3S2kKinbP/Xxt0vHTXmqtUfVfgAAAAAAAAA4z9UQQDuy1n08cW5W95HjHw3J2TBr2tuTfD58 8cZgN1crHi2GjX8u3376e0vysunz7bFhBhHr8YVvTFxoHPjosw94Hf1l6oy3vo388OFmbuNNW8qS d96ZX9Lz4SceamDfv2jGjNdLzZOe7OirucA41hPLPvnmUFlobMXB7IWHV8xaeKSsZ4Vj1pzkInOn 4SN7hjhjUp1fY2Mlx9XcHT+tLu7+zGv3NjNWWssFy9F5r0xc6nfbqAljvJJXfDXzrY/8Jo3vFag9 a0zX93WBkd1wdb81rOzQ3Nc+WhV828gJcf7pq2dOf3eS34cTbgypXgTtZrFd9KI69wNSC3ZOmzB1 V4uhT7wYlrFixoyXpvh99FR7s/sI2s34FT+4skOzXN+4uwUGAAAAAAAAXCZXQQCt5sb/Fq/v8dLQ Xs1NIvUfSfzrxeVbs3v393Fzvc6/SZt2p7+xp/+++GjYXa/0CNJKyZ6flqTHPDb5vs6+irQKH5Py wapDWdZm4XrX49hSN6w8GnLHO4/2q68XafqY/sjYiT9vzWnfx3NfZeNYTyyb8lNWSMWgz3Jo1rPj f0lRRSSgwmF7wclsR/CATu3b+Z+VP7o77rCWWLV+TZrU9dGdOu6ilmtFe35cktH84Ql3dwnQSPMG T+Xse3bR2tTut4UrFcYsiXd5X4EXHP1cbu63hlmS1mzIbTri9Xu6B2ikZcSI3RteW7Urt0+fwOr0 OXe32IIvblGd9wGp+X8v2mhr//Soge28FWmkPzR24sIt2e3cT7LEzWLTnPngrAfd3LjqZiEBAAAA AAAAl8sVFUCrRQeXf/Xlws2Hsko0PvXaDXx09OBob8VhL7WKwdPgjOg0Ri+D2Eqtp5qKWNPXz5g7 b+2BPGO9tjc/POrWFuaKSZ6at3X2j3m9n+8XphOxnNi2tzRyaAvnblPF3G7Uy+0qrVtmC2gae12o M0pUDP6h3kpSkUW15LgbR0SsJ36bstB+82M3bnpvRflBfcQtz33Q25a/5aNXfqswO1vuiXx9UNB5 DRhcHrdn/Pb8v75OEpk6atj2F6c/3drDdS2Xz0TNP37S4teuvo/z4ehDWjQyLog/XtRt9xtnxvzk Vtf3Ver2Obt+bm7v1/3n5ShMWPr5zF+2Hs52+DfuetvDD/U71eqkOterinfjjp0an7pHnVeApybJ Ylfdfr4iYk3f9O1nc1bvSbUHNe18+8jhvSP1lS22ai0q14vBkhKfpDYY3th5ex6NOjbWfPp3Slmf QA/Xk3Q9/tmL4eNb3dy4uwXm9oGrRYeWfT594eajhT6NugzqY3XbuQcAAAAAAAComursDq1pZQdm v/3FruCbRk94/aVxt9Q98N3kBUetIlr/63o2KVy7YH1yib305MaFK7Prd2sXrBMRcRRsmv5TfocR 4196YmCdxO9enbj0pL3CgNZjS7/d0/Cu/g0MIiLW7KQCg0/B2k/Hjxl679Ax4z/97VCRWkldQ9SQ l14bHu1spuDI271sTbpP82YBWrfjiFhTfpvyk23AYzfXO2tXtWL0rxseEREWaKwYBaqWnJQCa9ri N8cOvefe4f96acYfx0pUt8e1wX3f+GhoPX3UqClfPtXKw20tl89EY/LxUAvTcq2nLilOzyixF2aV BlQcU+f+vlw/ZzfPzd39uh3HmrzotVd+Kop98L8TX396UJ39X74y+c9sR7WvNza+5z9PDKynF9VW lHnoz5/XZNft0Mpf63aealH85y98sN7jhrGvvvnMoNBd016atrNI436xVW9RufmALLlpRcZA/1MP RtH7BnmWZWWXqu4m6Xr8sxeDn5sbd7fA3D1Ae8aq9yZ8uTvgpn9NeOGRbtYlMzbkO9z+sgIAAAAA AABVcQXtgFZVz5a3jerVo1czH41IpLJt8TvphTYRvS6s3+i71/976r8fnCoiUv/e926J1IvYRUR8 ez3+2C3NPUSaR/lmjJuwfF1Kv7tPBX5q3vYfVth7jm/np4iIqNYSi614z6xVPYeN+L/7HYnLvvzi 1Snmj57u7Ouu7umJOYqOrJr5wfR19q5P3dnYqBa4GcfPkbJ8ynzLgJdviTTk7bnw/drzT+TaLFbP 9kOfu88ja/vCL6e+XOg16ckOXm6O+2o0GkURjVarUcRWSS0Xz+TOmL4xjqmzf9xW966WhhN/fP7N QZF6DocoZ8YUd8/H5GbMu4Iv8NxccTHOrSW//prWevQLd3XwUUSi6vtm7JvwW3xet07VvP56Z5+J sv2fPTbhjwKR8FteGRChd7uu1OK/f/7T2umZx25p66VI0xFj0wp/T8+zu1ls5Yu0iovKzWJQbRab YvAynA7mNQZvg2IttTncTdLt+BUXg9N5N25zs5BMR1w+wE7NNizZ49nn5XG3tfAQadnInLrvhTUX XsYAAAAAAACAoigioqou/kX9FRRAK6bIbn1MB3evXXLo0MH98dv3FKgdRUQcuZumvPxtYdcHn7up hbnwwO+zZr8yOeidp7p7iYi+QWykh/PHTfXjogyrD2faxBlA29M3/BTvd+O7DU434NVoNSJ1b//3 yP719CItGhiPjJ3485bsjjcGua4rIiL23F3zP/pg3h5Nyzv+O+7O6/y1oroZJy5m69R5pf0n3FLf IHapAl2dgW98McDo7aFTRCS6oceJse//tDkr7kZ3x/3PzCpthftarp6Jpm23MeOOvjv57X8tEVHq dhnQzmdZrqfxrP3v7p5PdzdjKvUqeW5uuBjHUph1KKf48Iejh2qdUarDYrGFphXYqn29v15ExBB1 35vv33hy/8qvZ06cFPHB//UKcr2urJkHUxx1727g6Wxu4dVy2PMtRRy5mz52tdgCnW/xq+qicrcY FJ1Bp1qKLKd/Ex2WwjJVZ9Bp3C1+t4vWX851/o27XkixsUkuH2BpQGKmvuH99U89b2NEbEPj2gt9 oAAAAAAAAEClrqAA2pG7ZcaESX8ZYnp069jz/r49f399crGIOLI2//SXXP/yyJujTSLSsL5v2q7x Czekd7nx3AE0GkVT3lPEnr55RXJozw4h2lMHFL3Zz0Pv0SjwVE9nU2jDAOVgRpHdodvmqq6I2LPW T/6/jzZ69Rr7/kM96nkolY5Tmr7naFHSgeeGzjs9n2NP3/9Lpxc++3eMh+sb1hq9zrxIUfGq1yxI WZ5RZJcgN8fPZI4Wd7UeO/fzLH8m2oD2D06cNSQvs1AfEKD+/c6Y1XXqeFbskOH2+Zw371Njuvm8 qu7UOKqqagP7j391cET55BWtyUcvB6p1va40LfFYaXDj+r6+ofV8Q+tF6PdvfG3VvsLru6pbXc5T tTtE0Z7dg8btYrulrlaqsajcLoaxfnW8LKm5FlVMiojYCrNLjUFBJsXNw3T/oZxZDGpp2iGXN97d 1/VCcvcAEzVndUxRhDcXAgAAAAAAoHrO3wR95fSAVgt2L1pd0uP/Xn9uxODr2zYO0pY694mqYneo FSauqg5VHHbn99aj25NKnMdLk7YmWkKiQwwiImJP37I6JaRbXLC2vIAx/LpwObEv1eIcpjg5IUsJ jDBr3dQVNX/r59O2htz75sTRPU+nz5WM49nkoYnvnvL287fWUQJueHriG8OamtzcryNnw4f/eXne Ucup2ypJPZyjCarnq3FzvGK0bKqslqtnYs9YP3PynL8LDL7BgZ6a4oNr90vTTpFGqcjNfencjKl3 99wq42Ick3d4pGfeoVQx+/v7+/v7mdKWTvlsRZq9utc7cjdPfemdxUmn+lyr9tJSm6LTacTNPPWB USGSGp/kbIssxfGf/uuJ6ftKK1ls1VhUbheDISwmUjm2+bAzqi9L3nHUUa9tuNHd4q/0QznF3Y27 W2AGNw/QENwk2HZk67FTz7sseeeRMt5CCAAAAAAAgCpQVdVl/w25knZAKwbfIFNhwuadRwKjtCf+ +nHaX0UlTVNzylqGth8Q891nn0wLf6hfC3PRgd9n/VYQPbxzqFZyRZH81Z98Fjb8pihHwi9f/FYc M7aLc3OqWnBw60nPptGBFe5PE9B+cOycDz6cFvjQjfVte36evsXU66U4P43ium4Ln/0r4q2Rg4Ky dm/NPj2Ed4PW0cGux9GalIj6gc7r7J57jRqDf1hkRJDbjsgac5PW3p/OeH+Gz8N9o/QZOxfN3Oh5 4ytxvlqD6+OKnHkjnGIKdF2rVFw/E60tRNn/0eRP9Q/d3EJ3cNGMjea+r7fxOXuHq5vno8hJl2Pq DJmuPy8Po9u/aricmylwQJ/g57546wsZ2quBemDRZ4tPdHw5VF/d67X62B71vvl+6qyw+3vUN2Tv WjJzi6HTsy283a6rum0Gdfjq3U+nNnj0luaGpGXT1pY0H18/LNzNYqveonK/GIxtBnfRvTlj1pon BoalLZvyu6X9f+L8NUqpm0mGuftQziwGbZDrG9d6u1lIJk/XD9DQ6eZWc6d+ODnkkVuidUeWf7Uy 7wr63wMAAAAAAACuTtqXX3758lc9efJkaGioVquteFAf1CSsaNvCOXN/WrkzM/jGRwf7Hlj+81Zj 596xrdvH+KVt+GX+/EXLtyUbrrt73Ji+9U2KLWPz8oTrRt1s/X3OnAXrkkyx9/9nbO8w5/vdSg/M n/Onsf+9fSJNZ1JWxRR2XQvPpPVLfpr/67bMgOtHPjO0rb9OcVO3fcvcFb/tStq3ecMZ64+F3dAn ysvD5TgVbkUtTlzxa2L4jf1a+la4xbJjq37ZFdi7f5sArYiIxqthp7iAk3/+8tOPP6/anRd6w5in h8T4at0eF7Xo4IrlSU0H9GlYYT/22bXcPhNdQPPWgWnrfp6/6I/9xeG9Hxl3d2uzVs4e083zcTem u8+rV7RZ4+p+3c5N69+ic7Rm/8pFPy1YuumEufvDTz9QWV1312vMUW3r2w5uWL5o/qKVf6f7dnno iYc6h+rdz/O6ZnHtQzP+/PmHHxetOai0ve+JEV3rGL0atHO12Kq7qNwuBsUQ2qql1/E1P303d/kB aXXnuEd71jUobhd/r+jgCJfjV/jgtG5u3O1CcvcAPRu0v87nxJ+//LTw9/j8yMEjOmTtzG/Tv3No pa+VRNU5HI60tLSwsLDanggAAAAAAMD/JC8vz2AwKIqye/fuxo0by+mXEIqIw+EQkSNHjsTFxSlO 7rZG16ht27bFxMTo9SRbAP4prFZrfHx8u3btansiAAAAAAAA/5Njx455eXkpijJ37tx+/frJ6QBa VVWbzSYiK1euHDVqlMaplicLAAAAAAAAALiaOfc6uzxFAA0AAAAAAAAAqBEE0AAAAAAAAACAGqGr 7QkAAAAAAAAAAK5ilbxokB3QAAAAAAAAAIBL4PxO0LUTQGs0Guf7EAHgH8Jms2m12tqeBQAAAAAA QE1xuQ+6dgJos9mck5NTycZsALiWqKqak5NjNptreyIAAAAAAACXnqIo5+99dqqdADo8PDwzMzM1 NdVisdTKBADgsrFYLKmpqZmZmeHh4bU9FwAAAAAAgMuqdl5CaDKZoqOjk5OT9+7da7fba2UOAHB5 aLVas9ncrFkzo9FY23MBAAAAAAC4rGongBYRg8HQqFGj2qoOAAAAAAAAALgkKmm2XDstOAAAAAAA AAAA1zwCaAAAAAAAAABAjSCABgAAAAAAAADUCAJoAAAAAAAAAECNIIAGAAAAAAAAANQIXW1PAAAA AAAAAABwFVNV1d0pdkADAAAAAAAAAC6eoiiKorg8RQANAAAAAAAAALhI5dGzywyaABoAAAAAAAAA UCMIoAEAAAAAAAAAF6m8AbTLTtC8hBAAAAAAAAAAcPF4CSEAAAAAAAAAoEaUv4Tw/CSaABoAAAAA AAAAUCMIoAEAAAAAAAAANYIAGgAAAAAAAABwCTgbcVREAA0AAAAAAAAAqBEE0AAAAAAAAACAGkEA DQAAAAAAAACoEQTQAAAAAAAAAICLVN73+fwG0EIADQAAAAAAAAD4XyiK4jJ9FhHdZZ4KAAAAAAAA AOCaoarqOV9UxA5oAAAAAAAAAECNIIAGAAAAAAAAANQIWnAAAAAAAAAAAC6euwbQQgANAAAAAAAA APhfuOz+7EQLDgAAAAAAAABAjSCABgAAAAAAAADUCFpwAAAAAAAAAAAukqIozh7QLjtBswMaAAAA AAAAAFAj2AENAAAAAAAAALh4vIQQAAAAAAAAAHDplafPLmNoAmgAAAAAAAAAQI0ggAYAAAAAAAAA 1Ah6QAMAAAAAAAAALh49oAEAAAAAAAAAl56iKOd8UREBNAAAAAAAAADg4imK4jJ9FgJoAAAAAAAA AEANoQc0AAAAAAAAAODi0QMaAAAAAAAAAHC5EUADAAAAAAAAAC6SqqrOHtAu90ETQAMAAAAAAAAA agQ9oAEAAAAAAAAAF6+SHtAE0AAAAAAAAACAi6coirtTtOAAAAAAAAAAANQIAmgAAAAAAAAAQI2g BQcAAAAAAAAA4OJV0gOaHdAAAAAAAAAAgIukqqqiKIqiuIyhCaABAAAAAAAAADWCABoAAAAAAAAA UCMIoAEAAAAAAAAAF0lRlHO+qIgAGgAAAAAAAABQIwigAQAAAAAAAACXwPmboGstgC78818d4+I6 jVtfVFszuETyV42Mi4sbtijDUdszqbpamnPx5me7x8XdOiXRclnKOQr2/fL195sybDVaxXri95nT p8/dkm2v0TKu2E6u/nr69Dl/ZdpERMqO//HN7FXHSly8ahQAAAAAAACoJeyAxrXJUZCwZmNWeMfr gnSXclhb2rrZ06d/s6GGY+2LYAyPi/U9uuav46VE0AAAAAAAALisVFVVVdX5xTmnCKBx2ZhaPzPn hx+n3Bepr/lapcmbNqZ4xcRFmlx0Pr+UdKFd7rjr7gGtfbU1W+fCND5NOjRREtftuPLCcQAAAAAA AFy7ykPn89NnIYDGZaTxCIls1DDcz1DDmbCIo+DQtsOW4JaNzTW+wBWdl6+/n9lU6/mziOiDmzf1 Ltq3g03QAAAAAAAAuGzO7/tc0SVtT3DpqSXHVs2a8cOaXYePnsixaD0D67XqcduDj97TMUQnIvaU H4cPentvw8fnf/dQ/fI7caT//OjA1/4OHTZn/rhmBhERsaRu/P7z71Zu37s/KUf1CmnS/sY7Hxwx qLXvqXSydNfEQcPn13nhl4+brJr4ymcrjjQYv+Sr20NcZJdq8eHfv5wxb82O3YczLZ5hsX0feHyY /3lXVV6ubO/7tw37zu/ZBZOiVn/y6dxV8Wml3mHRreL6PjB6SKcQQ5XHkbK97w4e9r3f0wuntds+ 9cOZS7cmFyledZr3uPuxcfd1DC5/HpdizlWtJfac+IWff71k0659R3M9wpu1aNPzrkce6FHPuQ25 eOv4/qOX+42Y++NjjQ1VqyviKEpcMfuLOUu3HEzJtejNdaLibn5w9IN9GnlWEi3bs/f8naHUub6h d8WL1LKMhB07DxxPz8wpcph8g4LrNGzdrlWE96no2Jax4fsFu01dh9zkf3Tzlt1H0gptBp+gkLCo mLhWEV5aESlJ/Hn2qjQREdm9YOZuCev30MD6SsrKOb8cMrW98672AdoqFRJbxoa5C3abugy5pe7J LX/tSEzJtygG7+DIlnGdWkdUuC9b7uGd2/ceS8/OzS+1a/Se5pDI6OvatYrwcnvr2oBm0b5/b92R WFC/VaXZu8OSn5mWnplTWGq1q1q9h5d/UGhokNnAH6QAAAAAAABQfc4M+urbAW1Lnv/Evc/NWLYt w7t5jwE39+vaxJi8ecGHY0dOji9WRURbp8dtrUWOLF5x3Fr+Q/bU1fP+dkiD225p5Aw5yw5/++Td j3+0cFOWb4te/ft2jtIdXj3n9eF3Prfk5FmtCizHfvj3ox+sOFzqWaeOj6v9rGrxnmkjh4z/8vft xzWNOvToEqXZv/CdESNnJJx1VRXL5a6fOHTUR0uPe7fs3q1tSNH+jYsmPz7k+V9SbNUcR0oPfjXm wVdXlTS54e67B7Qzp+75dfLYsZ8fKKuBOV+gltjTV7x834iJ369JdER27tu7lc/JjUs+e3rIE3OP uXnr4IXrliZ+86+h4z///YBav9NNA/p1irDuX/XF88NfWJZeyTv/7DmJhwvFr35ohfYbasmxtfMX rIk/klrmUadhowhfNfv4gU1Lf1y2O/eskUqPr1vwy8aDeYaQyMg6XtbM5AObls5bmVDgEBF9SJse nWNCtCK6OjGdu/WICXTx95uqFhJb1s4lC9YctQU0atWySV1DYXripqVLtmeefuCO/L2/zl+xPTGl yBBcv0nTxvUCtfkn9m9cunhTmvX8qqdpvCPCPSUz4XiR+/dLqpbso3t3HTyenlditasiYreW5Kcf P7hr79FsC1unAQAAAAAAUG3lPaDPdyXvgC5L+H7mdos0HDln9qPNnFmiLWXBY7e/sX35ssNjY1oZ RRPc9fY2ml07l6w4PuzRRnoREduJ3+ftE2l+903OTsPWo9+98MFmW5vHZ00a1sK5IdZRtP+7Zx75 8I83J67uPOmGgNMZfOLsWaE3vTjn2YHNzC7bKVgSZ734+X6HrsWIyZNGdQjQijgK9855dvRHmytc VOVy6es3hwx4feELN0UYRNSypF/fGD1h6Zq33lnd5YMbAjTVmPbxRYtbPj57wYPNPRUR9fF7Ph7y 4KzDi5ceHtGsueESz7nyWo6cNe+8+muGtsUjUz8ZGWvWiKilB2ePfmDytqlTtg58u4vPuQ+0CnWL d385M96qix3/05Tbw3QiohZuf/uukfPWfr08pe8D9VyvXkdRSnKheDSvU2GncNmJv1YfKBTvpn0G do8ya0VELT257dcl20/8tSahwS3Ny7dKFyWd8GrSe0iPxmatiNjyDq775Y+DR/9cf7Rev0Ye5vrR zU0ZO+PTlaCo5i2cG7/PCcKrXEjyDySEdLj9njZBehGRDi03zVv4d05CYm7boCCtiC1r946TdvFr d/vt7U69RtFRsH/J92tPHkrMaR8a4u4XV+cbEajZe+JIhqWlj8nVBfbCEwlHsspEFM/gyHqh/p56 sRbnph0/llFclnUkQWdofmarNgAAAAAAAPA/upJ3QGuDr39iwsvvvjakSflOVl1gdHSAiKXY6tzg qQnqckesVpKWLE9ybrK1HFu64LBoY4f0qqMVEbEkLvgxQercMapvSGl2plN2SVCv4YNCpGzbr/tL KtTzv/XV5we5SZ9FyhIXLUoSiXrstUc7nOq1oPFucd+LT7Sq0OKkGuV8+r7wTL8I5yZtxRjZ/9mX b/aV0vVzN2Y7qjftkHueHdLc0zkJxTPq+s4BIqUFZfYamHNltRxZf36zpljq3j9+ROyp7g+KqfHt 4+6JbdpQk55//nvxqlLXUVJQKmL08zedWqiKd5vHp387e87EvsFuU1Jb3sk8EZ86FT7JspO7j5SJ Iap756jTRxVT3bY925hFTdtzpLDCdmFDVI8ujU9fpPNt0vX6piaxJe1OLqnK5uBqFBKvll1aBZ1+ H6M+oEE9DxFbmc1ZRuPVoGPP6/v2bnVml7XGIyjIQ8Rudb+5WUT0vqE+4shNdfHEReHpnWoAACAA SURBVEQtzUhKKxMRXUBUk8ggb6NWo9EavQMjm0QF6ESkLC0pgwbSAAAAAAAAuGSu5B3QuuB2/QaJ iMOSfzI56fjxpMN7t29YvihdxFx+jca/4+1x+q2blv52bMRjTQxlhxYtThZj9yFdg5w7anP3bU8T ke/GDPrORYXMzBKHnN4na2jVq5mX237ZjoLE+HSRyD7dwvQVDmuD2/duKLsPn7qoKuVO3Vyrfq3M Faop3i36tTUtWX10a3LZgICCqk/b1LJLgwpbXTUGD/3pbbmXbs4XriWlSZsOq2Ju2y2yQhtrxTv2 39O/dTFsFet6xgwZELRh0ar/DBwcd9PNN3RtH9u2VcN6TZu7HPH0wJb8QrvovDx15Y/XXpCWbRcl tGGwseKVWnNkhOf2vfkn8+2tT3dM1oREhZx1kSE4qo4u4WhuSr69ieeFfl2qUUh0wfX8KoynaHVa kfLUWOMZ1riZiKj2ssL8vLy8vJzMk8cTDxSJnDXy+TQmH6NIfm6Jq5haLcvJcv5BweTnpRNHUcqB hDRHcNPmEV5evibJLhQpycopC61rqvH3RAIAAAAAAODaUUkP6Cs5gBZHwb6Fn3z45eLtJy0iIl5h 0S2jGzU2HK/YwFjj3+GO9oZNG5YtO/pIk3oHFvyaJj797ung6wzQ7IVZRSJS775Xn2rvc16mpjU3 rnDQK9CnkqehlhaUioh36Dn9CbQ+oWd6S1SjnGegWX/2ab1fHbNIbnaxo1rTNvoY3W1jv9RzrqyW 2AuzikXqhHhXcUlVqa7i2+W/385s9cXMH5f/uWjG1kUzRMS3aa+7Rz3xUI8Io5uQ1Ga1i2j1mgoN oG2lNhG9h+mcXdMag5dBpLjUYhc59WnoPc+7yORtFCktqXzjcbULic6oq+zfH6iWzP2b/9px4GSh XUTE4BMUHBQQoM3PutAcNHqtiGpzOV1HWdGpht2Fh//eJiKiM9dtEOKpEVtB7qmt7mVFZQ459wYA AAAAAAAA99w1gJYrOoC2n1z87MNvbrGE9xn9xj2927VoEGTSiOXglDvXJBRWuEzxbXdHJ9OGtb8t PXR/l3krsiXwjnuu8z4VPmpMviYR0fq16Ny9gd5VlQoDaSrb9al4+nuJSEFaoV1CKgSH9sKMM7Op RrnirHyriEeFI7aCjEIRk9mkqda0RdxO+1LPubJaovXwMYoU55RU8nbAiqpaVxsQc/t/Jt3+jDU/ ed/ObRv/WLJg8R8znt5xYtK8l7v5uUxwdXqtiN3qOLPoFZ1JJ1JUUlYh/xURcVhKLCJag/7MONbi UvvZvxaOsmLLBePi6heqnKPwwPKf16XYzY3ierdsGBbs56lTxJ695YejWW5e6HjmR60OEUVbpVKm sGaN65rU0uzjR47mVPGDAwAAAAAAAKruyu0B7cjaNH+LRSJHfvjaI/1iGwU5uwCr1mLrORcq5ra3 d/GU1OXfz5uzOl/CBt4RXZ7rav2btfAXObp83cmKLXFtSXPubx8XN/SHlCqHbhrvxm3qihxfuS6l 4gRsKeuWHSr/rhrlbLuX7ymo8HcBNW/noi3FIpGxEcZLNe1LPedKGSPi6onkbt+YUjEhLd7+Sp+4 uB7Pby4+9/qq1LUmL5v67jufLDpqEUVvrhfTY/DIl6Z//2EvT8n9Y1FCqZu7Npi9tGIrKj4zrNYn 1F8raubhjLPSW3v+8ePFIuYw3zOBsyP9nItKUxNOWEV867prDn7WTVW9UKXUkuR9KXbxbdevV2zj uv6nuomoduuFPwxHWUGpiIefh6tfbY3R66wOHraijJQTxw8nHEkvLl+LRi/329wBAAAAAAAAFxRF cXbhON+VHDU5RERKC4rKQzdH3t9zPlyQISJnbelWzG1u7+Yt6b9MX18sjW4b1LBCE2KP6DtuCRNJ nPry7D2n3gCnlhya/9bUA6ou9o4eoVXvNGBoMPDWhiKHpr4wbXP2qR7LRfu/f2vq/goXVaNcwW+v vbf8hDOnVMuOL3v/jd/yxdBpSLcgzSWb9qWec2W0dXoOidXJ8a9e+2pH3qlhShN/+uTXPDHG3tjE dN4PVKGuYk9d9f0PX03+fH3G6UWglpzYd6xYxFzXbcMUnW+Yr0hBxdfwGeu2amAQy6F1Gw7lnxpJ LU3ZvmZHniihLRt6V/g1sCSu2ZB4+iJbfuJf6xLLRBvRKtKz4m+Qw82/KahGocqpIiK2Mmt5HbU0 dddf+4vLz7ljzUsvFMWvjtnV41GM/oEVd92bAuuGh9cNrBhKewT6u+ttAgAAAAAAAFTu/F4ctdyC w7bz0/+M+/7cSejq3Pjv/9xSt9uQHp4T1n439pGswT2iPIuS925YviGnYUuz7MlfPfWjb0eMuLtz iPNHvVvf1sO8fGm+SIs7+0Wc1c/BGP3w6yM2PTIz/tMHe3/XJO66epoTWzcm5ItPz1dfHVinOp1u DQ3ve2XkmuHT93312ICl0bHRgWVHd/6dVFS3Qxv95p3VLqcEhuUv+e+tf30V16qOIzl+++E8EZ/u z43v43x74iWa9qWdc+U0of1ffHbl0DfXT3/05qUxcdHBjhPbN+zLEUO7J5/q5u8ieb1wXV3EgOFd Z05Yv+w/A7a16Ni6ntmRdXDL1iNF4t/3ifubGs4f0jkRr7AIb4lPTS1yhPqeqmuM6Hx909TlCQkr 5x7fGR5q1hRnpqQX2EUf0bVnM5+Kk/P0KUtYNff4zrAQbzU//WROqYghsmv3RqfyZ0Wr14oUJm78 U1O3TvPYaP9zb6rKhSqjeES2qq//49juJYtKoiP99db8jOOHj5f6hRglvezolo27Ytu2jPBy9ZO2 vOOZdgloEOL66Sim4MiQzAPpZW4KG0Mjg3kBIQAAAAAAAKrnCu4BXZyweUPCeUdDGjz6tESE3PTq 5/ZpH321bPW3M1aYI6Kv6/Z/346+yW/Tm2NeXLxj0c9bb73jdAAtXs1vijUtXW1tN6TXuYmp4hUz ZsYPzWZ/Pm9N/P6tfxw0BDaIHTxqzJg72gZW8+YVzxaPTPuu/szp89f+vWfz2v3GkJhbnnlyTNs/ H71/55mLqljOr/uL03vvmvn1b1s2rcvU1mnasUe/B0bf2zlUX81xLuecL0Rf7/Z3vw+bO23Oim17 NqyI1wdEXjdg2KjH7+ngLg29YF1tSP+3v/X9fsbMhX8d3Lxqr8NgDq3f5Z47HnpwUGyI+2Rc69+4 kXf8rmNppTG+p/ctK54Net4xOHT7zoMn0tOOZjlM5sCIZo1i2rWKOPsNjabInoMapm3/+1DKiaRi xTswomlUTFzriPKty1r/Fu2aHP/rYGrC7jxbZJvzAugqF6qcxqtxr0Hq1k07E4/u2n7YaA4Kjex2 R1xjU/LaJX8kpB44kBLd3GUA7Sg8kVIsQW0ivdxl3VrviCYN7QePZJXJmVcROhkDGzYJr84sAQAA AAAAABERZ/8NlzG0Ukk4fRUpiX/7thE/FvZ475f3r/e7wjdwlu19/7Zh31lvm7n4vzHnN6bApeDI 3/Pz3PXS9d5bW1Z517EtY8P3C3bbo2+9r0dobf9d5mLZszb/MH93wI339W1Y+T5mR1l+ZlpaZm5h idUhGr2Ht19gSGiwL92fAQAAAAAAcEHHjh3z8vJSFGXu3Ln9+vWT0wG0w+Gw2+0isnLlylGjRmk0 Go1Gc7UmbWexp62csThTzP2HxF3p6TMuC405KrbRlt/2JOY3b+v3zwlVrRn7Egq8ovvUu2AXDY3R HBJpDom8LNMCAAAAAADAP9dVHs5Zjn4/ftRDd9398l+lEvXA8DbetT0hXCFM9Tp2DCvatfV46bWw w79KHAWJmxMcjbvFBl8Tf1YCAAAAAADAVUNVVXedNq7yAFpUS+bB3UnWuh2GvT95aCN3r6XDP4/G p1mPjgHJG+OzbLU9lcujLGXrtrz6PTpH8hJBAAAAAAAAXF6Koji7cDj/e9apa6MHNAAAAAAAAADg MqikB7TD4VBV9ZrrAQ0AAAAAAAAAqCWV7HImgAYAAAAAAAAAXKSKbTfOT6Kv9h7QAAAAAAAAAIBa Ux46u9wHTQANAAAAAAAAAKgRtOAAAAAAAAAAAFy8SnpAswMaAAAAAAAAAFAjCKABAAAAAAAAABep /CWEiqJUfCGhU+204EhJSamVugAAAAAAAACAsLCwy1OodgLoy3Z7AAAAAAAAAICaU94A2mUnaFpw AAAAAAAAAABqBAE0AAAAAAAAAOASOH8TdO204AAAAAAAAAAAXBvOf/dgOQJoAAAAAAAAAMDFc9n9 2YkWHAAAAAAAAACAGkEADQAAAAAAAAC4SKqqKoqiKIrzi3PO0oIDAAAAAAAAAHDxaMEBAAAAAAAA ALjcCKABAAAAAAAAABdJOc3lWQJoAAAAAAAAAECNoAc0AAAAAAAAAOAilTeAVlX1/GbQ7IAGAAAA AAAAANQIAmgAAAAAAAAAwMUr7wF9fidoAmgAAAAAAAAAwEVSFMXZfMPlewgJoAEAAAAAAAAANYIA GgAAAAAAAABQIwigAQAAAAAAAAAXSVXVc76oiAAaAAAAAAAAAHCR6AENAAAAAAAAAKgpiqI40+fz N0ETQAMAAAAAAAAALoHzN0ETQAMAAAAAAAAAagQBNAAAAAAAAADgIvESQgAAAAAAAABAjShvu8FL CAEAAAAAAAAAlw8BNAAAAAAAAACgRhBAAwAAAAAAAABqBAE0AAAAAAAAAOAiVXwJ4fnvISSABgAA AAAAAABcJF5CCAAAAAAAAACoBQTQNcxW/OSUbconSZusNTJ8zoEDytvbOsRbHf/bNZeqFgAAAAAA AACUI4AGAAAAAAAAANQIXW1PALiM1JLi3dtyU4tVEdH6eLdu5xtsqO05AQAAAAAAAFcxRVGc7x50 2QOaABr/HPaS3yZs+DjJGG7WKKKWZRcXt20z478hvi5+MQAAAAAAAABUhTN9rvhFRbUZQNtLi77e kPrlkaIdmVarp6lNHe874uqOa2gwOU/bip+cvu8jj3oH7/RYuObE5ISi41Ztg1CvXs1DX40zR2gr DmRZvu3kRwcKt6SWZog2Itjn7rZ1xsd4BZ7KFR1bVuzusE03aVTT65NS/v1X9h+5dsVoiIsKfr1X 6I3eSrXHeSQqam/y8zvydpeoBi/Pe7rU/7iNKXl/yvituX+mlmXr9HFNQz/sE9LN46xY01JU8Nba 5MkHi0/atJEhnj2bhb7Swbdhxcd/geoiIgWZ2RPXZyxKLt5T6PDx9b6nQ8Sznuc+1apcc6lquWQr Lvx8Q9rso4Vbs2xefp7tI/we6xI6yF9TPvYFPndxbFy+u/MO/YwxTWIOJA3/M2dfQP2kYUERSpWm 7YKjoCB+X6lFFXtm6pzduh6PNesVooiIJSlp0pcJ361QYs0iGl1YS78IT6JoAAAAAAAA4BJSXMbS l4G9KG/krMSZ+SLenjeGGw2FxX+cKCsWzQ03NF/czmSS0wG0+N7gyFtRpGsV6VXfUbYxuTRLJKBJ g22DAxs4+1fbSibN2//UMYfe7HVjmNHHatl8tPCIXYKbNthya2B9jZwOjjXDr9PO+dvatqlvB2/H nsTsVfkiQXW3PxjWVletcdTuYbIuyzA42ju0tPC7A8X5omnXyLj7cFmTqIDrzfbN+3I2l4q5aaOE wf6hyum7KDbFGku3F+tjIj0jHGUbk0uzRbzq19t2V0gzbRWrS8HJlOtnn9yuisHHs3uoriizcGOu o26Q9mSmvX3/mI0xek3VrrlUtVyyFeQ8NOvwnELxCfDuFaq3Zhf8mmYTnc+k4U2eCFCq9LmfCqB1 z3TUfrypsEzR1m9Sf+Ng/zr2C0/btZL4PU+8mnKiSPUwG4znX+ew5eY7dL7mwa91GN6EnugAAAAA AABA5Y4dO+bl5aUoyty5c/v16yenm284HA673S4iK1euHDVqlEaj0Wg0tbUD2r5i1ZGZ+VKvdcPV fQMa6UREzTx+csDckytWHvu6SdNR5tNbUQvyVvgEzhkVeZ+fRkRKcrJHfnfkm4NJjyeYF0XrNaLu 33rkqWPSrWf0Lx29nK0UHGXFkxYceDohaUyC7y/RutORYtmXu7wmPtjyuTpaRUTtGfLczP3vZmZ9 k1mnbR2NVGMc27qC4GUj6/XzVETUp7fsb7qqeNth6723tZrVVK8TsXXMuH5a0vrD2Tut/v3K2wvb S7frAueOrn+PryIiJdlZj849OudY8sg9fqtiDNqqVLeXvPvLye2qEte5yZJuPiEaEdW+Zcuh3n8U VHioVbjmUtVySbUt+v3onEIlrkvT37p5Bygi4ojflNBudcGLawseHGz2q/rnLiXvbTLc17/5x608 AzRVm7a7WXnEtPxkonbk+NInvmrT1uO8OeeefOahI90+7HhbXbY/AwAAAAAAABehkl3OtbPjUy0t mHzALkb/ab2dKaSIKEH16n7R2Shq4acHLLYz12qH3FTvXr9T8/TwD/hkQGCgOJZuy09TRWwlM3aU yP+3d9/xUVRbAMfPzOxuNpveqQFC6FWkCoiACIhYn70hKnbs+iyI2J/1ib13REQfRYoiogiKKEiv oUMoaaSX3Zl5fyxZU3Y3hYQF8vt+8nkvzM7ce+6d3Xw+npycCY+d1MFWkO/cn+fcn+c86LRe2De2 mRg/byjIKzNpsx7NxzfS3ElGxRZ8QZJVxMhyz1STcQYOajzsSKsGpXmL8BYiEt/4mWSrex2W0LCR USIuvajcnluuHtn8ktJew8HRMW+cHRMj5uK/s/dVbxWFaekfZorENfm8f1i8ezMUrVfPli80+WeO 6pxTV3N5ZeRnv7TVkPCEd/q5s88ionbp3vSO5o4OSkmmUaP7LnFdW77V1Z19rtkN8s1V9PuX25ce 0vcv2jbtr+Kivfs++zozW6/WpQAAAAAAAAD8Oo4eQlicnbdeF61pVG972cNK66TwRkvTUvYUF/YK CnMfU0Mua6KVDTyicfRAa8aMjLxtrpj4ooJfckTk0NC3D3mZJs+Zb0ppTa3aK8letolxkFUROZIk 1gurP46ldYTmSdurqmoTCQqzR3sOKUqIVmkELeSSxt5WkZW33RnXtLjq2SUtf59Im3YRrcoOrlqH tg2W1EL3vw5X45zqrLQ6c4mp7z3sLPAk2VWtWYTVyMxZLxLVPLxtmbeVEhT28hUd3N8XVf++i9qn rSO89Iya3CA/XEXLZ+/WuzR1LNk9Nz5uWPcDM+dFDBgUUuV1AAAAAAAAAHwwTdOdej6OHkKoO115 IiEhlqAK0QTZIkUOFOolnkM2a3SFfK6mJdpFCpy5hujFzlwRiUr4dEhYVKX8oxYUHPnPQTXS6jND WZNxpPIo3jL75QVZoyvUmh9ZhV5oVmd2M7XIEJHIMEv5G6ZEhnl2xyyo+py6mkvMwuxL393x2z9X Rsy9I7lfsTNXJLHihf+owX0XtVHQP/HV6AYBAAAAAAAAOJb8tOAITAJas1pCRPYVuIpFQssc10uc OSJBQarVc6jEmamLWMuepKcWi1gtDlVUq+YQEdXSq1VE+8p1x9VWV+P4VOzMNMof0fV9xSJB1ojq rSLUoYpIVo7LJVbbP4fN7DxPBwmlGufU1VyiBIU+dX6rA6UHFIvtFKtoVkuwSF6B7qurRQ3uu4ha Jqdc7zcIAAAAAAAAwFFTFKVCMjowPaCDIkI7aqIfOPxncdnD5rbt2akiyYn2fx4VZ+R/tV8vG3LG 3oyFJSLRoa0tYnE4ejpEMjK/yy57irn1z43qf1b0XFmup7AfdTWOT3r+tIqrSF9YIpa4sGRrtWaP iAtrIZKyJXtH2eSuUTJ7Q6HnX9U5p67mEs02uF305R2PfF3WNrSRKsFRoW1E0vfklLuwJPe6ySuU V7YvLKnJfS+v3m8QAAAAAAAAgFpRSom3UujAJKAVe9j4tpoUZ45bmLn9SO7QTNu9/7rfikUJua2d rUwlrP7lvD1TDx+pHy7Myrz7+8wsUc86NaKxImJ13NzFJlL46NyDy0tzmvlpabf8WmCqoTeXPhiw anU1jk+uz+btnV6aPC3MzBg/P+uwaBf2Co+r3uz2mOjrY0TSUq9cknPQvRmmvnLFrgkH/5mjOufU 1VxeWcIj72iuSNaBG5blZRxZq7F2VeoXhRLcPLqrtUb3vby6ukFHuqWopY1U6NwBAAAAAAAA1KPA tOAQ0c4a2vLavds+Wbuj9fYDQ5vYbfn5i1JLikQbNqzl2IiyaUFry6KMK97JeS7RkWgW/76nKEMk snXzt9tZNRERtUe/pEd2bn56374+rx7qmhiSrBb/vKMwU7Tzzml1bTUeS1eqrsbxITSsZ1H6JW9n d2vhaKYX/763KFOkaeeW/02yKNWcXQu+e1TjmZ/vX7Fsa/P1jkEJ1sLMvKWZeouWobadeaWbWo1z 6mourxTbVSMTv/lk19wlmxPXhQxuZNMP584/4BJL2ItDIuIUqcl9r6BOblBQxPWT+0lEUFCLfi9p QZHWrm+9oEYp3h5rCAAAAAAAAKBaPFXPXjtBB6YCWkS0kMgPrmv/Ts/I/sGuZVuzfsxSOreK/c8l HWf3sJd7Qp0j4oNrk5/qaDcyc7/b4wyJDx8zqM2aC2JblTYCVoJCnryi49f9o4fEKbt3H/52ryu+ eezkKzt93cl3Oa03dTWOdxExX49p/VCyZe/u7Dn7XNFNIm4d1m7lyMjGpYnT6swe2rjJouta/bt9 aFuz6MeU7JVO+5gz2y09IyyqzDzVOaeu5vLKFhX77dg2z3cN7yjF8zdl/ZKj9e/U7MdxbcZHH1lq de97JUd3gzRNdblyisQeabMrpuIIiggSQ7VER6hGQUmRqdhoLA0AAAAAAADUkqcFh5eX/DygMMBc BXe9u/FVPXbpzS1Oq4McMBqy4twp9y37IsX7ez24R8fXJzVrFKi/BgAAAAAAAABOJLt27QoJCVEU ZerUqcOHDzdN0519NgzDMAwRWbhw4U033aSqqqqqJN3QEASFXfHqkLPTS4qMiq8omiUq1mqjGTQA AAAAAABQG4pypMrZXQddoeKZBDQaCFWLjA8OdBAAAAAAAADAycddAX189YAGAAAAAAAAAJzoyj6E sHIO+jiugLY4/nvrqf8NdBQAAAAAAAAAgNqhAhoAAAAAAAAAUEvu/htlvymLBDQAAAAAAAAAoF6Q gAYAAAAAAAAA1FLZHtCVi6BJQAMAAAAAAAAA6gUJaAAAAAAAAABALdEDGgAAAAAAAABQ7zztODxI QAMAAAAAAAAA6oUl0AEAAAAAAAAAAE5UZR9CWPlVKqABAAAAAAAAAHWgchtoEtAAAAAAAAAAgFri IYQAAAAAAAAAgAAgAQ0AAAAAAAAAqAOV20CTgAYAAAAAAAAA1JL/hxBajm0wAAAAAAAAAICTh9fW zx4koAEAAAAAAAAAtee19tmNFhwAAAAAAAAAgHpBAhoAAAAAAAAAUHuKovhqxEELDgAAAAAAAABA LfnpvyFUQAMAAAAAAAAAaqdC9rlyMpoENAAAAAAAAACgNtydNzwtOCo34iABDQAAAAAAAACoF/SA BgAAAAAAAADUnrvzhtdm0FRAAwAAAAAAAABqz9OCozIS0AAAAAAAAACAekECGgAAAAAAAABQG57m G766cNADGgAAAAAAAABQGxU6b1RuxEEFNAAAAAAAAACgljxVz14fQkgFNAAAAAAAAACg9rymnt1I QAMnNl/tdRoC9990+HrEKgAAAAAAAAIuYAnokpKSvXv35uTk6LoeqBiAk0ZkZGSgQzjWVFW12+3R 0dE2m01IQwMAAAAAAASIoiju4kiv+ZnAJKBLSko2bdoUHR2dmJhosVCFDdSeaZopKSlJSUmBDuRY 03W9sLAwIyMjNjbWarUGOhwAAAAAAIAG6njsAb13797o6Ojo6GiLxULdInA03H9D0ABbcKiqGhIS YppmTk5OdHS0UAQNAAAAAABw/AlMAjo7Ozs5Odlms2maRs4IOHoNMAHtZrfbc3JyTNPkJwkAAAAA AMBxKDAJaMMwgoKCyD4DdaXBJqBVVTUMwzRNctAAAAAAAAABcTz2gBYRRVHIFgF1pcEmoN0a+PIB AAAAAAACyH8PaPXYBgMAAAAAAAAAaCgCVgENoA415BLghrx2AAAAAACA4xwJaOBk0JCTsA157QAA AAAAAAHnv9MyLTiqpWjDa9dfP3l9US0vL9701o3XvbK2sLrHazoOYNaAkfPbw8P69+9/48yDuvcz Ctc8c87ICX/mV+u4njH3xsFXfLrbWZMY6ligtx8AAAAAAKBB85OioQIaOBlUPwmrSN76OX8WiMim ecszzhkV6+83VL6GrXBcqWEMdYsENAAAAAAAQACZPIQQOOlVv1jYyF333fKCVpeP6WCun7M8w2sN tK9hvR6vcQT14BjvNgAAAAAAAMpSFMVXI47jqwLamfbntHe++Gl9aoGjaZczr7rp4lNjLFK04bXx b4dePbLoh+9+23I4uEXP824cd3abEEVEjLwtc9//8Lu/tmcaUcn9L7h+zPDWIYrkLZt424zedw3e 9e2s3zenW1oMvOqucUOb2vye/7+et/Td+NWslQfUZr0vvuWi0J/e+fznrZm2FoPHPjBuYJzmju7Q 0vemTl+8OTuo+Smjrr/pvI7hqs8xxczfNv/9d2cs35kXlnTauUOdniydj+M1HafS1h36Y8rbX/y8 /oAe27bfheOuG5JoV7zvp5mz5LE75p3+4OAN73+5s9djz1/eQvM+NU4k1U7CmgUbvlte0OKac0YG //Xxq3NXZA4/K0YxRYz8zf97+cUvFm/NjWg35PLRTjmSUtZ9HC8z3T+/49LzNs587dUpizcdKtAi Wp526X0PXN4lrHjtC5ffu/f2qa+cGa2KGAdn3XrV513f+PzWtpbcddNfmTxtyeY0I6bD0KvvuuO8 9qGqZC+87dLpI/5z9qqX390y4L8fjku2VrU0EtAAAAAAAACB5c7PeM1BH0cVcVV+sQAAIABJREFU 0Gbhho8ffeEHZ5+xjz796HU9i+b+Z8JnW9xdl10H5r85K7/XmIcfG3923KZPHn9hYZou4tw768lJ 3+b3uPaRZ5+699xGmz6aNHlJpiEiIiU7Z3y4qvGFDzz/wr2DjV/ff//PbNPv+UU7pn+d1vfWp/9z 9wDn7x8+9Mgc+7kPvvDsLd0PL/r025RiERExcv9499uc3mMfnnjnOY1Svnzi2bn7fcegp/304mMf rYseccdjj94wwDnnvd9yDBHxebym41Tcuvw17z/68tLgM2974pn7zk1Y+87Ed1bl+9lPKdk9660f jD6XXHZarMXPtuDEUe1K4fz13/1Z0OzMAU0Seg1ONNZ+tzLLME1TPzD30dsnr4i76LHXXrnvLNfX Ly7McomIz+MVqo9N90+ZwvVv/fu/Kxr/66HJ77w28fLEte8++dm2EgluM7yvffP3a3PFNE0z7Y85 22LOHJFkK9k59e67P8097Y6X33/n6SubrZl89xML0458HHZ8+Z8ZxqAbxg1trFEBDQAAAAAAcCI7 jiqgCzbMXpzXZdxdl/aPUkVa3+ncMv6TOVsva9tGxJSw02+/7dxOwSIdWkekjZ8457dDg0fkzpt3 sMvNj17cO0wRad0iIm3jY9+vyR5whlXEMBPOv+G8U2JUSTz33OTvv0nN0cW+w/f5SnDXq688vU2I uM46o+n8+V3HXtKnVZA0Obv3lD/2ZbtENBGRiMG33zq6Q2kMj/3wa+rw8wq9jtm33W9z1juGPj7+ go7BIp2Swg9sfPQXEdEPeT8uxd5j8zVOBWbO6plLnH3vu3X0KSGKtB1728G8BYeycwzv+9lZRPTi 0HPuGz88XhMp3jLF+7ZEUQR9IqlmElbJXz9neUHjCwc20lS134BG7341Z+XhIUND9y/6emXI6Dcm Xts12FC6t43ct+qmeSLi8nG8/HSeAmgJ6X71g6NGjOocrihKK3XJlw8cyNVFQtqc1cf6yPz1eQP7 2dOWzdkeN+yhRFvRpm+/2d/zoVfHDgwTkXb/jjpw2a0z/socOtIq4ioMv/S5xy5IUAyjOvnlmiSg i1I+f/CxeRHXvDxxRIJWen3BhvfvfeqPdne/fGev8BP1bW8eXjzxzlmnPvfceY3r5qd68eZ37nyx 6PbX7uxsr/p4nc9eA2bO0sdvfmNr5Respzz49v3dgutgCiNnww8LD3U6+4zmQbW4umTH5/c9mTr2 jQe610Usdato45t3vmLeOfm2jvaqT/bn6LYIAAAAAHCiM01TVVURMQwvZa3HTwLadXhnqithaHK4 uyhbjUjuHFu8bFeO3kZELIk9Whz5b3d7i56tbYu3HCoakLYtq2D7KzdfrblTRkZJiSvhYK5LokUs 0W1ahqkiIorVblFExDTydvs+XwtvGmUTEVEsNs0S2SzKKiKiWtzXullb9kgsG8PP29NL8jK8jlkU nZJubXVlachBzXq0ClosIiVp3o/7is3XOGbuH8/c/tLqQhElvN8jr90WsjXVaHxJS4ciIqKEdLrm oU7i2veN9/3sHCxiie3UNkoTP1O7xL0HOLkUbJy3vCBu1BnNraapNhvYJ2rKnHmrcob0PbjxkK3d gFZ2XdcNRbG17NfWPl9EnD6Oe6cEJ505yrHh73lfbdy4ce2K3//ONgcpImI62o/opT02f2NB7+bL 5m5PGP5IM6t+eMem9LzNj51/Zukbr7jY2SQ1V5doEWvCKV2iq5l9riF76/OvG7D4+elf/n3anT3d 2WZn6oJPFuW1ve6KHids9rlBU0K63fTUEwWGiBSuf//Z6cHX/PvK5CARRQtrfJRZ1VJ6zsbvZ6yN OHNQ8yDeIt6xRQAAAADQsPnq/ux2/CSgRUSkbKiKKiKml6S5qoqpG2KaphYz8uEnzm/mWYSi2cOs UigiliBrxWX7Pb/81FLlf0GrqqKK6mtMS4paYTildE3ej9dwHCW0+20vvlZsiCiqPdIuu3VDFM1L OxVf+6lY7Vb/U5N9PsFUJ1GrKAXr5/6RLwXTbhg6zXN09ZxVOX0iVEXENAzDMAxFUUxTUcSUI+/Y ise99oA2TVPPWPLyHZMWBfUaPuz0EbdcOHLm3ZPyxDRNw7R3GNFDnvx+4+5Oc7Y3Gv5IU80wDNPU 4i9+6c2rW1gMcf+cUrSgEKuZZ4pis2umYRjVzD7XKEmthHa97Oquy9/6dNa2LlclB4lx+K8pM/Y0 Hv3MoHit6qtxHNJCmyQli4hIfqZD0UKbtE5OrqPMMwAAAAAAqCY/+ZnjJwFtiWzZxPK/NdtyRjeO UkSM7K1r0m1NEiM0yRJx7V65q7BPp2ARKdq9IqUk5qy4oNCgREf2tgMS3iVKEzELN015eUbwlfdc 2NL7+Gpo0xqdX4lz58rdhT07uGP4K6Uk/px4e6jV65jnxbWJc838a1fhqR2DRaR476odxWY7EZuP 475i8zWOKEGRcQmeyMyY1vGydM3uwoFdHIpIwZo3HvzAeutjp/rYT1f1toVs3AmlWgnogo1z/ygI HzzhxWtb20RExLn903ufWDJ3deFdnRJcXyxJye/TxW6KFO1YtqXQ7CxibeTtuI+HEJrZK7+cXzD8 1Q8f6Gw3FKVwxdRiQ0zTNA3TDO4wvLvx7JTPNu9oOnJCE800jbAWrUKyNu4xwrpFKiJm4bp3H/si ZNzEK5NL09le/2SjLqjR/a791/z7pn6yaNjjwyO2zfzi76BBD49qYRMRcaavmP7elEUb9hc6mnYe csUNF50SYxE9bf4j9y0+86WnzoxVRYyMHyfcu3DQi0+dFVv+M+JMW/7Vu1/+vOGgEdOm7wU3XHNG c7ti5qcs+OyT2cu3ZxSpYc16nH39jee2C1Uk748nxs/qOf6M3TO++2NLuiVxwOV3XD+kqa1CoF6D qera4s3v3fHswav++0j/SEXESP9x4r2z2j/+0pWtyvxOyUdUYhZs+/7DD2f9uTM/LKnvOYM9Pyl8 HffK6+Alm9+7y2tUWt7W+R99PHfFjkwjsvVp54+5Zlhrh2LmLJ101/cD7z9j44dTd/Z85NlLEg4s +vS9b39LySyxx3U+85qbLz01uvo/n7xvo69NMIv2VJirW9Hsfz/wzUGR1266ee3jk8e1tVYn5ktb ePslXsm+H16aOKVw1GMPnx+/+kkf99FLwMr+Wf++f2HPZ168NNHq3PHFvY/M0S74z/MXN7eWbP/s ngnrRr789NCSxf63yNdNFxHnod8+nPa/X7dkBzXvPnLMDaM7hKu+9s37Z+HxzkseLrdFtOEAAAAA AJR1HD2E0NHhnIEha96bPO23jSkblnz56ocbI844p53D/WLOotfenP3Xxo3LZ77+8vzctmcPaGyx J589NG7LB899sGDV1q1/z3nzldn74jsm+K7cren5FSiS8/Prb3/318aNy2e+9vL3BV3PPS1e8zGm Ftd3VOfCha9M/t8fGzaumPP25IXZooqIr+O+YvN5foXQIruf29tY/MZbc1Zs2bb2x4/eWVzYpk/z aH/7WWfbguNEdZ7Ul79p3vL8uOFXDGrXqlXLli1btmzZfuClw2JLVs1Z7zj9kh4F3016esqva9Yu ++bFp77LElUMQ004/eLKx308AlAJjo6356z75Y/N+1K3/j7lmWd/yivM2JtWqBuGYTo6jexcvPKn 3U1HDkpQDcMw7O0uOrfRupcfeGXWsvXrl017duJXuxt1a2ItHa00DV1NNdssS+NhY0fFbps+ZfnW hZ/+mN/tqos7higiZuHGzya+tMDZe8xDTzx0TY+i+S9MmrK1qJr7n7/2o4mv/mYfesvEJ+8eHb/u vSfeW51vFm/54sWP18WeddMjkx69fVTjzV+9MXOn032Bc9esT1Y1Pv/eZ5+9a5C55KOPVuSUX4S/ YPxdG9RiQLegbb9uzjVFxMhc9cvuyH4DmpX7QPuISk//+eUnPl0fOfzWRx66rp9r3ge/5+givo97 531wH1E59333zFMz8k+56t9PTbp7dKNNnzz9+tIjT0B17vnu3QVG74sv7Rtn7Pr2xQ9WRgy7+dGJ D17VNXPuGx+tyqvuHfe5jT42wVl5rqLG5z3z7AUJ1ra3vfnmjW2Cqhezt1/t6um/vfP0FxmD7nvg /CS74uM+eg9Yi+nSLTJzzdZsQ4zsbRszRA6u3Z5nip69ZX12bPfOYXur2iLfb0Ujb/kHM3J6jnnw 0dvPjk/56ukX5h/Qa/hZsDQpt0XVvDcAAAAAgAbj+KmAFsXR6bqn7gt++4v3n/im0NGk89kPPnlx O7tIkYjq6HH9+Y6f33vqsxxHYs+rJ950VoImorW6dNIE2zsfT3v+x2wttsOQ2ydc2S7YT/MMWw3P L8/aZPSNIw7PfO/JT/PCkvpe/8QNp8f4iSH2jHsnFb3/7ozJj38d0qrfRXdetODdPSKi+TjuMzZf 51fYuoietz5126dvT3v10U+d4S1PG/Pv67qGKor3/ayYuTm6bcFxosokrKIUbJr7R17Ti0e2sDid R7KghtbinBGNv/l67rrgZ558rfClF7945u6PQ9sOvvbxa2c+v900TSXurCdfK6pwXMrnfBUREVNM 0971locufOKlJ26YZm3UbcTYx5+KfP7J156a0eXVi5sGmSGdh3fSluWNGthIdTf0sCaPfe0V2wuT P5owK8uS0P3sR18a19kuhmc51c8s16JPdFDSuWNPX/zca0//qTa//Pm+0aqISMGm737N63zD0xef FqmKJN3h3Hr35/NSLmnToRoh5K6ZvbSkz903j+oeokib624++PrCQzmu9o6O5954xsBBbcNUkebK yjkvpeXrIlYRMcyEc8eO7h6jSvNzzmm94NvUHF3Cy/w89hVMZx/XhpVeaG85oKv15cVb83ufGpy5 6pfd0f3HNSmXfzZNr1Hp6b/P3RA8eMLt53UIFunYKvzQpomLRUQ/5P24j43wPrj3qIp3fv/9oc43 PnxRr1BFJCkxPG3jpAXrsvsP1ET04pCR99x2VpwmUrhqX46t1WmDeneMVDu0iI/vnhlX7d+Q+drG TuI9TvOwl7kUVVNFRNVURalmzJUYOWs+e/qNtW1ue+6KzkcKj73eR817wOOTe3QI/mnFrsIhjr2r 0xv165q/5u89Racn7Vx1MKTjKY0Ub2FX576IiCkRg269+Zz2dpH2SRHp90xasCR12Mj0mn0Wym5R de8NAAAAAODkckK04BARscb1vnpC76srv6AENRl0y7MjbqlwWIvs8q8HX/pXhaOhfSd90dfzr5A+ kz7vU+3ztYRRL34xqjScVle/9YX72453vPNfEZF+I26vVgyiOFqPHP+fkZ5/D+/l/3hNx6l4WlDT QTc+OejG8ke97qcSPuDJLwZUYwk4kVQjCes4dcJ3PyuKruu67uluYWl1w5c/3yCGYShtzp/w3oWe s8/7n6nrustlBCWfV/m4rpeZLnLYmz+M0HVdl+j+t7024HalNJ6zPvnhXt19tlmStu2A2vay/nGK Yeimaeq6roV3u/aZj68tjV/XdcMw1PDBr/9wpvuqult7JUpo50uu6Lj07dQzrhnWxP1j0HV45wFX /ODWYUee2xme3CmmePnubL1D1X8o4kxPSTUaX9ziyINAHR2veqCjiIj0H2JPWb9k7vZt2zav+3tD rtm79ApLVHKL0gelBrkflFp2QJ/BdA6p6trgpIFdtMm/phR2b/b3z7tjBtzUuHwuUrE39xaVMz0l w9rqVM8jT5t2bxn0q5/jPvbV++BeozJy9mzLKtgx+bbryjwBNf5gnksiRCyxHdtGujO59jajzmz0 7Gu3jZ/fu1ePU3r26d0xoboPuvO9jQne4/Q+l9MzoJFfvZgrMIvWfPDaejENW1qBIaXNMbzcR58B d0rs3Vo++ntffvT6vUGdxwxKWz113YF8+6rdWpvhiUF2s4ot8nlfRBRri1MSj/TMtif2SLL9siOj 6Cg+CwAAAACABsr9HEKvWZrjKwENoHaqk4R1uVxSWlzsPmIYhrsa2n1EVdWyo3nKkD3tmMse9wzr Thy7j7ifVVghHj1n+/o1f0z5JqP9HafFiO4ezT2Iruue88tOV6PGGrVJQIuoIY0ahSj5zWLKpWfL P7dTEdOoOLbpKnFVns/UTVHUCtk54/CKDyZN/sPWZUD/3gMvP3PgwmffKPC86OVBqRX5DMb/tcHJ AzvKm0tT9rX5eU/swFsaVfgp7ysqX49I9XXcK99L9hKVYYgWM+LBx84t0yJEtYdZJV9EsXgelKqE dLzy6XeGbFr518pVK6c989UXp97y9J0DY6vdBdrbNvrcBK9zRZRZYPVirsAUR9cbJl1S8PbD0z79 bcCDg2Lcwfu4j94CVhyt+zQrmLN+e7ON+U0vaNUmKyFn0ebtwVuKEs9rFSyKUsUW+X0rlqUqiqq6 73htPwsAAAAAAFRAORNwMqiyS7JhGO6yYk96t8JBwzBcpcqe6et4hUHcI+i6XvZMN+e+eS89Oy3r tNvvHhxj6nqFCz3ne6arPEWV6mILLZEtGlkOrd2W6x7NyElZm25tkhjuzuLpxe6ib7Nw76Y0Z8Vr rdFJcXJg3Z5C97UFa9+6+573N2Wsn724cOD9k+4bc+7p3VvHakUl1Q7UfzD+KcHJgzoYq2fN+H5v /KC+FfPPZp73qKxxbWJdO1bsKnSfVrxv9c5i089xr3wN7jUqNbRps+DsbQeVsMjIyMjIiKCD895+ 76eDFQvf9cwV0z+ZvTO0w4DRV90+8aWJZ2p/L9iQW72d9LWNqo84q5yrmjFXpNrbDu3TtPnQMSMj 1k2Zts53C2vf912NaNcrLn3ZL0sPxXZNDIlo0zniwJJflmUk9G4bplQZtp/7IqZz19+7j7R3Ltqz YntJfNv44KP4LAAAAAAAGig/KZoToALa3vGODz4KdBDA8a2OkrD1Iqj9rZ/PHy8iLperTPePOlNX a3e0H9Xf8dSHr09X/9UjMmP5tI83RZzxeFuHaGZCjLLnxzl/dhrVvGD1/6ZsKlZiK1yqRHY/p+dn L7/9bovrR7Wz7lnw/pLC9g82C1VjgvK3/rl6Z3RrLXXZ9PeXFRS2OZBV3LHxUQQjeVVfq4S0Pb1t 8SvL8ppf0Tu+YspasUV4jyq+99mdpr0z+Y3460a1s+5c8OmibLGIiBbr/bj3mX0N3jhIrRyVvfWI IbGPfPT8R3LlGS3MLd+9Oye194QEq0i5p92pNtnzy1e/5AZdP6KNLX39gpXZYac0slezB4ePbVTE e5wdwrzOpeSJYuTv35+RZ4+pVsw+BCWde13/n5//ePbw5y6Pr1HAIqLFdu4W+uXcbVHDx0Ro1rAu rWX273sSLugUpVW9RT7vS5SIKjmL33qnyTXDk4ytcz9eUNDl5n5xmiO8hp8FRf7ZotAqa/sBAAAA ACchPy04tMcff/xYhyOyf//+hIQETav231AD8MEwjIMHD0ZERFR9auC4u23UU5Y8Ly8vNjZWVVWl Rg9A0zNWzv8lq8OIIckh7r8EUaxxXXonFv49f8a3sxatz2181i33XNo5XBWxxSbHHF45d9o3c5ft sPS6erS2amujoYNbO8r8AYkS1PiUUxPSfps1/Zs5i1Ok22V3jDmtkSO2TeP8lbOnTpvx0+qMuDOv Pzd864LZK4L6DmqV8+vcdbFDzuoUoYmIc98vc9fFDxnWsWx9s89gSvb94vVa566f529ucuaZ7cNU Uaxh6vp5yx2jx45uG1rxz1wsMd6jOuOUzr26hqX+NnfGzIVrcxNHj+mVsTqn24i+jcJbnOrteHzZ NHTRkdk7t2znfcntwtTKUWlRHfq0Uzcvmj1j5vzlqWEDxtx5RfcoiyLFe36ZtzFh6LAO4aqIYkvo 0FJSfp797ewfFq/aH9LrituvOjXW4u1WO/f9MvtP24Bz+iWUxuZrG31twrCBvZMqz6VaLdkbfpnx zVJnjyE9WnepOubyb7TDa35YnHvKqP6NrIotrnX41plf/Rnav1/winle7mOE3cd9F9GCLbt+XLw/ 6fxLT29i02zOVXP/dPa+7F+9YixVb5Gv9faP3rRwa9cbR7p+/PLLmUt3B3W//J5bBjexKTX+LGhl tqhb9Anwm20AAAAAwNHJzs622WyKoqxbty45ObnsS+78z44dO3r27Km4BaRwcsWKFV27drVarVWf CsAvp9O5Zs2a5s2bBzqQgDlw4ECHDh00TVMrNmFusJy7vrp/wpqzX3rirLjj6Nd8x2dUAAAAAACg xnbt2hUSEqIoytSpU4cPH+7JMJulzxJbuHDhTTfdpKqqqqqBKVRSVdXlcpGABurK8dyCo155HmMI NyNvz6aNK2Z8n9X6mlNjjps87/EZFQAAAAAAOAYCk4AODw/Pysqy2+1kjoA60WAT0IWFhcHBwfwk 8XAeWPTe64ttva6+o1/M8VMQfnxGBQAAAAAAjoHAJKCbNm26ZcsWRVFiYmJsNltAYgBOJg0wAe10 OjMyMjRNS0pKcjcUCnREx4Wg5Gte+eSaQEdR0fEZFQAAAAAAOAYCk4C22+3t27ffu3fvhg0bdF0P SAzAyWTFihWBDuFY0zQtJiamVatW/C0FAAAAAADAcStgD6u32WxJSUmBmh04Obg7uxuG0blz54ZW BO2uelZVVSkV6IgAAAAAAABQUcAS0ADqhCcJ2zAT0KSeAQAAAAAAjmckoIETmDv32gCzz26e5Qc6 EAAAAAAAgAbNnZ/xmqEiAQ2c2EjCAgAAAAAAILD8FEeqxzIOAAAAAAAAAMDJxFMZ6bVEkgQ0AAAA AAAAAKCWTNN0P6aLFhwAAAAAAAAAgDpGCw4AAAAAAAAAwLFGAhoAAAAAAAAAcLToAQ0AAAAAAAAA qGOmafrqwkECGgAAAAAAAABQS57Us9ccNAloAAAAAAAAAEDtKYritf+GkIAGAAAAAAAAANSar9Sz m+WYxQEAAAAAAAAAOPn4agAtVEADAAAAAAAAAGrNNE13Cw56QAMAAAAAAAAA6pKnBYfXXhy04AAA AAAAAAAA1B4tOAAAAAAAAAAA9cLdgsPrSySgAQAAAAAAAAC15Cl/pgc0AAAAAAAAAKAuuR8/6H4U YeVXSUADAAAAAAAAAGqPFhwAAAAAAAAAgGONBDQAAAAAAAAAoJboAQ0AAAAAAAAAqBee5hv0gAYA AAAAAAAAHDskoAEAAAAAAAAA9YIENAAAAAAAAACgXpCABgAAAAAAAADUCxLQAAAAAAAAAIB6QQIa AAAAAAAAAFAvLEdzcWpqal3FAQAAAAAAAAA4Npo0aVKHo5mm6eulo0pAR0ZGHs3lAAAAAAAAAICT GC04AAAAAAAAAAC1pyiKoiheXzqqCmgAAAAAAAAAQAPnpwUHFdAAAAAAAAAAgFryZJ+9pqFJQAMA AAAAAAAAao8WHAAAAAAAAACAekELDgAAAAAAAABA3fPUPnstgiYBDQAAAAAAAACoJdM03S046AEN AAAAAAAAADh2SEADAAAAAAAAAGrJXfvsroOu/CoJaAAAAAAAAABA7blbcHh9iQQ0AAAAAAAAAKCW PK2fvfaAthzbYAAAAAAAAAAAJxWvqWc3EtAAAAAAAAAAgFoq23yjciaaFhwAAAAAAAAAgHpBBTQA AAAAAAAAoJb894CmAhoAAAAAAAAAUC9IQAMAAAAAAAAAasnTA7psM2iPALfg8F+eDRy3/H+uAAAA AAAAAEhgE9CmaeYUum78cOeilMwCo0RUctA4QRiKQ7MNbh393tiW4cEWctAAAAAAAABosPwXGQcs AW2a5l/b84dPXmsPtTRtGhnqCFJVsng4MRiGmVdQ/Gvq4aSHVswf37lnUgg5aAAAAAAAADRMiqK4 U8+eb8oKTALaNM3sfNfw/66NjnU4QsIO5LryMwsNCqBxglAVCbFpCTEx+UG5w/+7dvuzPSNCqIMG AAAAAAAAKgpAAto0TdM0x324M8hhEUvItkPFxz4G4GgYIrmFem6h3jgiJMhRcvNHO6bcliz0gwYA AAAAAADKC1gF9KKtmZFxYamHnQEJAKgT+w87m4SF/LQlyzRNss8AAAAAAABogLy2fvYIWAK6wFmi FqlC3w2c4HKK1AKn0//HDAAAAAAAAGiYAtOCw/1/BcWmkLXDCa6wREzTEBGKoAEAAAAAAIAKAlYB LaYYekAmB+qSbphiVvGHBgAAAAAAAEDDFJgEtIiIIWIEbHKgLvFOBgAAAAAAQIPntUYzcAloU+i/ gZME72QAAAAAAAA0YO7OtMdZApoKaJw0eCcDAAAAAACgAfPTn5YENHDUeCcDAAAAAACgoVIUxZ2A 9nxTVuAS0ELjAgAAAAAAAAA4sZmm6W7BYRhe6jRP2Arokh2SlSnhXSTYVmchHefMIslcL2qyREXU 71B1OFE9KpaMdaK2lqjIQEdCBTQAAAAAAAAaND8tONRjGUc55lF9hXbonbVg3PIhNvXoxjnqL0Ny 18jB7WLU/1xa8CPvjdOfjo2o76H8vXoM1+v/S7U/8M4487n4yKMap+6WAwAAAAAAAKCSwCWgjaP7 cqf8zKMe52i/1B5jLjFn9RsadEymq5Otq85QPl89tuv192UrLjGy9eCjG6TulgMAAAAAAAA0VIqi uLtwVHbCtuAom4AOLHckxyALqZQW2x79RP6H8v/qMVuvf0bxq4/8/erRj1Mnywn4mxAAAAAAAAA4 LgUuAX2UjQs8CWhTRIolc51YksWWLfnpYqhijZLQ5iIZkntAXCWiOiSkldjtIiJGumTslvAO4ton hdliWsQaKaHNxeIpBjek5IDkZ4irRFS72OIkJE5URUTELJKs9WJtK0HZknNQrIli7BNXO5ESSV8h SmdxBFUKVJeifVJwWHSniCbWSAlpJlb3trvDbiP2fMk7KLouqkMcLSTY8c+1hbulMEd0UyzhEp5Y bu01mKjKoao5UYlkbai0Xt/bVYH/na+4t20kItzv4MWSuU7U1hIZeSQ494aLAAAQQUlEQVRWV4bk HRJnoYhFbDES2kS0Mve0eL8UZIrLKZpDguLFES2K1+XUCi04AAAAAAAA0IAdrz2gj6bjQdkKaMX+ wAfjMu81ep3W5ffpN5iLrkl5qdONESnhUeGfTL4k+6dxxdOHf9A/0+EyxRAtstmfi8bO7pY26tL+ m78bZ/545cbnO94YtV0pMcQQMUwp2NGsXdNvX/9X1sJxRdPPX3xXRD/nHnGZYoiowY98NC5tvCS3 a7Xkf+Nyn2r90LvXr7gkVIKTfpwzbu1FodaKcRqSv6PHwPY/fXBZ7qJx5oKrd7zc+a5mqZp7tCNh m0lJTWd8dK25aFzhtOEfDc6KKNHFEDF0yd3W56xuv358leuna7dP7jWpY4atbLlu9SeqYqhqT6Q4 bqu4Xr/bVf6rip2vsLeT4sL9D67YH/hgnPliXKT7rhXvC48KfvvZ0fu+H2cuuHLdxJaXh+5UnMaR zSnY3qJL4sw3Lsn96YasT8/69iq1XXGWt+Uc3bsRAAAAAAAAaHg8zTe8duE4YVtwuK89koAWEYnq 2Xd+L5k+b9/MiPB7z2737usJD6shuxenPb4y//zz48Y+2HfNjTtfzVDEFBGt13Ujz2mh/PDzoXmK ffQZ7d99L7bprasfPxQpZl6rQf1W3d88PC33kzkHcqLCrhh+2m/dN519R/o8V7B7oqCmLb99umWL Q/kLturTv9mad26Lyb1zH3kp86dtuqviivROFwxbcUN02qaMd6dn2xJChvdr98qLIek3Hfg850jY wa3az3sqJuXnQ/f8rA0ZnjDmnmGu/X/fuE0TI/uMG0Ytuii8ZF/2x98VW1s0fvTJ5nkiku513/xO 5H+o6k9kGjPf2aqWXa/ud7sq8L/zFfZ2m+b0P7hS5g1gFkUlJf32Spf2aTkfzT+QHhx8wdBuU3rG x47b/FpOmBh5yUP6r7ynmWXX4Y9n5JjNIsddPnRwk8XtX9UrLqfWb0hacAAAAAAAAKCh8pQ/e62D PilacLi/ooznbk95YZ8pyqFVoV3mnR6Z8eG6YbOLS0Q+3aHvejR+RNPdr6YfuTChlT7p/i2TUgxT 5NE5CUtfbPbIzSHvTpL9NuuTNzcPP7B/0H2pi/NFRHnut8R1D7R/9exfF86UElNEJKxr80Pvru8z v6jQ/c9UpzgL/1iVs6yoUpBa6NnDo2XvvkETDmx0iYgZ2aXR7ifiRzQ++Hn2kbDtybF/PbXx6hUu Q+SNZfmr3kgaeqo9KMUwYmMmXxTu3LD7lElpG0pElNR3r2675AKHId72zd9EptXfUP5frbDnxt7N OUvLrFfxv13ebpmvnU+ttLdVDG6WeQ+oxh13d2m/c++p/96/skhE5LGZcQv+2/KZsTs/e0Wyg23P 39LMsXl3lwlpG50iyoHpN3X8aXj3iz7f+mb55dQeFdAAAAAAAABowI7LFhxH03+jQgsOd/3ptv3T U00xRHRz57YCkayPl5aUGCKG5O3P2S+qTfnn5MLle17fapjuV1PSH1nitHRK7G03g5slDAuT3746 tDTXfbKZuvzAG6nSZmBEUymdNz314R+LCvXykXgN0lny+gMrI8dv2pi9T7K3SMbqYFNXRLFImbAP pL6w2mUYIoaUpOduKBKLpiiGJHRM7CJFH3+asaFIxBDR9d9n7Fls+JjL70T+h6rZROXXW/V2Vfjy vfOV97bqwUvfSNboqMsSZdmXv246uMaevcaevUY2LHn5Lz20U1xbzQxr2WxYsHPGlxmbio8scOnX u295P2u9U6ni9tXoCwAAAAAAAGioFEXx2n9DTp4KaBEpKM7Rj3xv6CLiPFBguv9pGqZZ/uSdawuy PUlDU1+7Kk8GhLQLk8XR4fGSP2W7S/fEVlL82y5d2oc10jJ36CIicjBnZ3Hl6mCvyykuPJTSqF2j S7sm9+yY0LtTdLcYRcRZLuz0vNQSz3JM48g3SkJisEjuwt2GZ1gjL//3QzJAajqR/6FqOlG59dqr s11lL/G981JUcW+rO7gpQTGRTUU6PHR5/kMVdiUqQsuOahoWKvlL9hqeX8OUHMp+e5aX5dQeFdAA AAAAAABoqBRFcVdAe74p64TtAe1ZiFFaxm2Wr4z2HJHyDaPd3+vFYtg8Q5hOQ0SzKKp7LNPpEqN0 Z8wSUxdRLKpnNKdeUja1WraEtqK8ix+4cNrwkJJDedN/PfzK65tXFNvmP9P8SCTusA1DL1uHeyRO xZ1IN12GGKVV6q4SwyizqOpO5H+omk5UYb3V2C4P/zvvZW/9Dl7uKZSaIvpPb2x+bJdWeq0uzlzR resLlShNFTH0kjIL1NOlME/siWJR/d6+aqMCGgAAAAAAAA2VaZp+WnAEtAL66FN+ZvnUYYUEtOel Sie37FgS8a0lXVVFRIysjl3CxMjbmm0WZZakSUyvJtnqjhhDERFTzJy+LTTJch10ls96l12IeM9g 2po2e2Z4yNbP153yZXG+KSJ6cItwxXNy5bD/idM8sNspEj40NmvajhhRRERXbc5+CSL7azqR/6Fq NlGF9VaxXd4S0L52Xgyl7GkiVQ1eZtiSLNdB0SLydy1bE6erioiIcajLKaF9NW2Vrhw+6CqWsN5R 2ZIWJYqIGLaYkFeuS94+PfulXWbdJKCpgAYAAAAAAEAD5u6/4TUNHbge0OZRf4nvf4rvf4qISPCA LjfHb1Xy9kleSkhs5NNDbcamnGW5Urgrb2GeMmBMQh/nVslPldytjbsl39Fcti0r2OP0NumRAV1K UZq49AovWSMio8TYsW5LQUGGFB2Q3C3dT2vSRERxZohu+FyFiJiStj5ntQSPGRfSrnCb5O+V3JTe 53U7Q/O+df4n8j9UjSaqsN6qt6vS0nztfOWtqP7gJfvzZ6XJqWOTzrFskfxUyd8eEh8/9dmBj/cK MQzJ3pqz1BV0ybX21oXbpSBV8rb1Gn3KrUMbWVxV3L4avxsBAAAAAACAhsfT/dlrG+gTtgWHW9kK aLMGFdBmXuSTH4zuPXv7JjXmvNHN2krBM29n7XGJmZv36IfZ54zvtuST2A9+PJgT3+zakfHRaelX /6+o2BBRypcqi4goLl2R4Pgbz90Ttlxm7iu3psLd+T/lqRf/u89z721dp8f1Gjp0bFvNJdZ+Z4Wf ud/8Ma9S2EZpNtMQ577Mu2bELzq//6oPdn+8NEtr03psP/umw9LGW+V4FRP5HapGE1Var9/tqsDv zotWcW+ruBdl68eLCp9/M+Oyie1mfB791fd7tpgxF17UomN25sVTCwsNkfTsez7P/2vMgL/f3vHR 0iy9VdKtQ0IOLUj5YI8ppr/bVwO04AAAAAAAAAC8OWEroNVQERHNKqaIaRNVRAstfVURS5CI459Z 1DAREU3zFKuu+WTD2VP15oO63H9uI9mQfsttWyZsMkxTxDS3fbet44T9swviLrmmx/jTwjf9uOe0 m3fPPey+MEg0ES2kTCRmyuLMHzIdl9zc/57uwWr5II3D2Tc/undKevz4+89458b2ybv39xi79f4/ SuLO7nlbuyClYtgi4hBFxGIXU8TQf35rU9+3MlbYm4y7ptuVLY0XH9/y4CbD1ByVd6OKifwPVZOJ Kq3X73Z5KxP2ufPe9raKwf95I5kHl+7qes/eL/aFDf1XjwkXNHEt33/+nbu+yTDFFDGN1V9u6fzc od+Dmo27vsfNpwQtnLqt/+TsdKOK20cFNAAAAAAAAFAlT+cNry04vDyXsPoKCgpqcZVhGLquR47+ XYLiaj11rWnR9mVfdbK+urLnd6br2E/fgNXxzmvywFun/ufwmqgHnIePfrSjVJx2eHY/TdNUNXC/ 0QEAAAAAAACqzeFw1PraXbt2hYSEKIoyderU4cOHG8aR/gCepxEuXLjwpptuUlVVVdXAteAAas3I EVehXRMRTcRZ5ekAAAAAAAAAAoIENE481mj1pvO73Joo6es10s8AAAAAAADAcavhdQxwN4+2WAMd R8NTdzsf3Lb7f65sZqw/dNNnBflHPxwAAAAAAACA2vLfA7rBVUDr6em9hqUHOoqGqA53Pmd5Ssiw OhkJAAAAAAAAwFFRFMXzTeUcdMOrgAYAAAAAAAAAHBMkoAEAAAAAAAAA9YIENAAAAAAAAACgXpCA BgAAAAAAAADUiwb3EEIAAAAAAAAAQB2q/OxBj4BVQDvsmojPsIAThxli1wIdAwAAAAAAABAYnuyz 1zR0YBLQiqK0bRasms6AzA7UIdV0tm0erChKoAMBAAAAAAAAAkApo/KrAUhAu+P416BY1Sw+9rMD dUs1i/81KFZK39gAAAAAAABAQ2Oapq8uHAGrgL5+ZHxyE030goAEANQNvaBtU8v1I+PJPgMAAAAA AACVBSwB7bBbvn6sXZuI/ZKXIq5cMY2ARALUhmmIM0fyUtpE7v9qQtvgIAsJaAAAAAAAADRYvvpv iIjlGIcipZ0KVFVtHh/0y9tDXvs6ZdbiPdtTtxcWuY59MEAtBNstSU3Dzh/U8raLWjvsVlVV/XzG AAAAAAAAgJObr/4bEpAEtJTmoDVNCwlWHriq/f1XtvMTInAccmecVVUl+wwAAAAAAAD4EpgEtJSp g1YUxZ19JgeNE4X73ev/+Z4AAAAAAABAA+HOj3lN8AYsAS1lsnhC9hknGk/SmewzAAAAAAAA4Esg E9BCFg8AAAAAAAAATnB+yovVYxkHAAAAAAAAAOAk46dLLQloAAAAAAAAAEC9CHALDgAAAAAAAADA CY0WHAAAAAAAAACAekELDgAAAAAAAADAsUYLDgAAAAAAAABA7dGCAwAAAAAAAABQL2jBAQAAAAAA AAA41khAAwAAAAAAAADqBT2gAQAAAAAAAAC1Rw9oAAAAAAAAAMCxRgIaAAAAAAAAAFAvSEADAAAA AAAAAOoFCWgAAAAAAAAAQL0gAQ0AAAAAAAAAqBckoAEAAAAAAAAA9cJyNBc7HI66igMAAAAAAAAA cJKhAhoAAAAAAAAAUC9IQAMAAAAAAAAAak9RFEVRvL50VC04AAAAAAAAAAANnGmavl6iAhoAAAAA AAAAUC9IQAMAAAAAAAAAao8WHAAAAAAAAACAekELDgAAAAAAAADAsUYCGgAAAAAAAABQe7TgAAAA AAAAAADUC1pwAAAAAAAAAACONRLQAAAAAAAAAIB6QQIaAAAAAAAAAFAblZtvmKZZth80CWgAAAAA AAAAQA24887BwcF5eXnuf3oy0fn5+cHBwZ4zSUADAAAAAAAAAKpL0zTDMESkdevWKSkpIqKqqqfq edeuXZ07d/acTAIaAAAAAAAAAFBdDodD13UR6dSpk67rq1evzsvLM00zNzd33bp1uq5369bNfaZp mkrlJh0AAAAAAAAAAHhlGMb+/futVqvVajVNc9OmTVu2bMnPz3c4HJ06derSpYvFYlEURVVVVVVJ QAMAAAAAAAAAaqCgoODw4cM2m81isbj7b5T9X/c3mqYpimIJdKgAAAAAAAAAgBOJw+FQFCU3N9fp dFqtVk3TpPyjCD1doamABgAAAAAAAADUmGmaeXl5LpdLRNwNNzRNs1gsNpvNc87/Acaekn28S/hD AAAAAElFTkSuQmCC --001a113fc8d47b939e051bd5d569-- From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: by yocto-www.yoctoproject.org (Postfix, from userid 118) id 1A94DE00A26; Mon, 27 Jul 2015 03:10:01 -0700 (PDT) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on yocto-www.yoctoproject.org X-Spam-Level: X-Spam-Status: No, score=-6.9 required=5.0 tests=BAYES_00,RCVD_IN_DNSWL_HI autolearn=ham version=3.3.1 X-Spam-HAM-Report: * -5.0 RCVD_IN_DNSWL_HI RBL: Sender listed at http://www.dnswl.org/, high * trust * [134.134.136.65 listed in list.dnswl.org] * -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% * [score: 0.0000] Received: from mga03.intel.com (mga03.intel.com [134.134.136.65]) by yocto-www.yoctoproject.org (Postfix) with ESMTP id B626DE0049B for ; Mon, 27 Jul 2015 03:09:59 -0700 (PDT) Received: from fmsmga001.fm.intel.com ([10.253.24.23]) by orsmga103.jf.intel.com with ESMTP; 27 Jul 2015 03:09:58 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.15,552,1432623600"; d="scan'208";a="755500736" Received: from irsmsx109.ger.corp.intel.com ([163.33.3.23]) by fmsmga001.fm.intel.com with ESMTP; 27 Jul 2015 03:09:58 -0700 Received: from irsmsx110.ger.corp.intel.com ([169.254.15.29]) by IRSMSX109.ger.corp.intel.com ([169.254.13.130]) with mapi id 14.03.0224.002; Mon, 27 Jul 2015 11:09:57 +0100 From: "Barros Pena, Belen" To: sujith h Thread-Topic: [Toaster] Usage of already cloned layers in toaster Thread-Index: AQHQxfb2MbKWRS2cgk2AvnWGaWcY553qhAEAgAATL4CABD5egIAAR0mA Date: Mon, 27 Jul 2015 10:09:56 +0000 Message-ID: References: In-Reply-To: Accept-Language: en-US X-MS-Has-Attach: X-MS-TNEF-Correlator: user-agent: Microsoft-MacOutlook/14.5.3.150624 x-originating-ip: [10.237.224.80] MIME-Version: 1.0 Cc: "toaster@yoctoproject.org" Subject: Re: Usage of already cloned layers in toaster X-BeenThere: toaster@yoctoproject.org X-Mailman-Version: 2.1.13 Precedence: list List-Id: Web based interface for BitBake List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 27 Jul 2015 10:10:01 -0000 Content-Language: en-US Content-Type: text/plain; charset="utf-8" Content-ID: <15BAB3F1C03CE44F8A4070AC53AFE8A1@intel.com> Content-Transfer-Encoding: base64 DQoNCk9uIDI3LzA3LzIwMTUgMDc6NTQsICJzdWppdGggaCIgPHN1aml0aC5oQGdtYWlsLmNvbT4g d3JvdGU6DQoNCj4NCj4NCj5PbiBGcmksIEp1bCAyNCwgMjAxNSBhdCA2OjM2IFBNLCBCYXJyb3Mg UGVuYSwgQmVsZW4NCj48YmVsZW4uYmFycm9zLnBlbmFAaW50ZWwuY29tPiB3cm90ZToNCj4NCj4N Cj4NCj5PbiAyNC8wNy8yMDE1IDEzOjU3LCAic3VqaXRoIGgiIDxzdWppdGguaEBnbWFpbC5jb20+ IHdyb3RlOg0KPg0KPg0KPiogV2hpY2ggdmVyc2lvbiBvZiBZb2N0byBQcm9qZWN0IHlvdSBhcmUg dXNpbmcgKGZpZG8gb3IgbWFzdGVyKT8NCj4NCj5JIGFtIHVzaW5nIGZpZG8gYnJhbmNoLg0KPg0K Pg0KPiogV2hpY2ggcmVsZWFzZSB5b3UgaGF2ZSBzZWxlY3RlZCBmb3IgeW91ciBwcm9qZWN0Pw0K Pg0KPg0KPkluIHRoZSByZWxlYXNlIEkgaGF2ZSBzZWxlY3RlZCAiTG9jYWwgWW9jdG8gUHJvamVj dCINCj4NCj4NCj4qIElmIHlvdSBjbGljayB0aGUgInZpZXcgYWxsIGNvbXBhdGlibGUgbGF5ZXJz IiBsaW5rIGFuZCBpbiB0aGF0IHBhZ2UgeW91DQo+c2VhcmNoIGZvciBtZXRhLW9lLCBkbyB5b3Ug Z2V0IGFueSByZXN1bHRzPw0KPg0KPkkgY2FuIHNlZSBvbmx5ICJtZXRhLXlvY3RvLWJzcCIsICJt ZXRhLXlvY3RvIiBhbmQgIm9wZW5lbWJlZGRlZC1jb3JlIi4NCj5BdHRhY2hlZCBzY3JlZW5zaG90 IG9mIHRoZSBzYW1lLg0KPg0KPg0KPkFsc28gYXR0YWNoaW5nIHNjcmVlbnNob3Qgb2YgcGFnZSB3 aGVyZSBJIHRyeSB0byBpbXBvcnQgbWV0YS1vZSBmcm9tIG15DQo+bG9jYWxseSBjbG9uZWQgbG9j YXRpb24uDQo+DQo+DQo+QmVsb3cgaXMgdGhlIGZpbGUgc3RydWN0dXJlIEkgaGF2ZToNCj4NCj5z dWppdGhAa2Rla2lkOn4vTUVML2hvbWV3b3JrJCBwd2QNCj4vaG9tZS9zdWppdGgvTUVML2hvbWV3 b3JrDQo+c3VqaXRoQGtkZWtpZDp+L01FTC9ob21ld29yayQgbHMgLWwNCj50b3RhbCA1MTgwDQo+ ZHJ3eHJ3eHIteCAxOSBzdWppdGggc3VqaXRoICAgIDQwOTYgSnVuIDEyIDE4OjQwIG1ldGEtb2Ut bG9jYWwNCj5kcnd4cnd4ci14IDE5IHN1aml0aCBzdWppdGggICAgNDA5NiBKdWwgMjQgMTg6MDQg bWV0YS1vcGVuZW1iZWRkZWQtbG9jYWwNCj5kcnd4cnd4ci14ICA4IHN1aml0aCBzdWppdGggICAg NDA5NiBKdWwgMjQgMTg6MDIgbWV0YS1xdDUtbG9jYWwNCj5kcnd4cnd4ci14IDExIHN1aml0aCBz dWppdGggICAgNDA5NiBKdWwgMjcgMTI6MDcgcG9reQ0KPmRyd3hyd3hyLXggIDIgc3VqaXRoIHN1 aml0aCAgICA0MDk2IEp1bCAyNyAxMjowOCB0b2FzdGVyX2J1aWxkX2FydGlmYWN0cw0KPi1ydy1y LS1yLS0gIDEgc3VqaXRoIHN1aml0aCA1Mjc3Njk2IEp1bCAyNyAxMjoxOSB0b2FzdGVyLnNxbGl0 ZQ0KPmRyd3hyd3hyLXggIDYgc3VqaXRoIHN1aml0aCAgICA0MDk2IEp1bCAyNCAxNjoyNSB2ZW52 DQo+c3VqaXRoQGtkZWtpZDp+L01FTC9ob21ld29yayQNCj4NCg0KUmlnaHQsIEkndmUgbWFuYWdl ZCB0byByZXByb2R1Y2UgdGhpcy4gTG9va2luZyBhdCB0aGUgYnJvd3NlciBjb25zb2xlLCBpdA0K bWlnaHQgYmUgYSBwcm9ibGVtIHdpdGggdGhlIGphdmFzY3JpcHQgZG9pbmcgdGhlIGxheWVyIG5h bWUgdmFsaWRhdGlvbi4gSWYNCnlvdSBjaGFuZ2UgdGhlIGxheWVyIG5hbWUgdG8gc29tZXRoaW5n IGNvbXBsZXRlbHkgcmFuZG9tIHRoYXQgZG9lcyBub3QNCmV4aXN0IGluIHRoZSBUb2FzdGVyIGRh dGFiYXNlIChzb21ldGhpbmcgbGlrZSBtZXRhLXh5eiksIGNhbiB5b3UgaW1wb3J0DQp0aGUgbGF5 ZXI/DQoNCkNoZWVycw0KDQpCZWzDqW4NCg0KPg0KPg0KPkxldCBtZSBrbm93IGlmIG1vcmUgZGV0 YWlscyBhcmUgcmVxdWlyZWQuDQo+DQo+DQo+DQo+VGhhbmtzLA0KPg0KPlN1aml0aCBIDQo+DQo+ DQo+DQo+DQo+LS0gDQo+4LS44LWB4LSc4LS/4LSk4LWNIOC0ueC0sOC0v+C0puC0vuC0uOC0qOC1 jQ0KPkJhbmdhbG9yZQ0KPjxQcm9qZWN0PkNvbnRyaWJ1dG9yIHRvIEtERSBwcm9qZWN0DQo+aHR0 cDovL2ZjaS53aWtpYS5jb20vd2lraS9BbnRpLURSTS1DYW1wYWlnbg0KPjxCbG9nPiBodHRwOi8v c3VqaXRoaC5pbmZvDQo+DQo+DQo+DQoNCg== From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: by yocto-www.yoctoproject.org (Postfix, from userid 118) id 15D15E00A26; Mon, 27 Jul 2015 03:29:15 -0700 (PDT) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on yocto-www.yoctoproject.org X-Spam-Level: X-Spam-Status: No, score=-6.9 required=5.0 tests=BAYES_00,RCVD_IN_DNSWL_HI autolearn=ham version=3.3.1 X-Spam-HAM-Report: * -5.0 RCVD_IN_DNSWL_HI RBL: Sender listed at http://www.dnswl.org/, high * trust * [192.55.52.93 listed in list.dnswl.org] * -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% * [score: 0.0000] Received: from mga11.intel.com (mga11.intel.com [192.55.52.93]) by yocto-www.yoctoproject.org (Postfix) with ESMTP id E3ACDE0049B for ; Mon, 27 Jul 2015 03:29:09 -0700 (PDT) Received: from fmsmga003.fm.intel.com ([10.253.24.29]) by fmsmga102.fm.intel.com with ESMTP; 27 Jul 2015 03:29:08 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.15,553,1432623600"; d="scan'208";a="530788278" Received: from irsmsx152.ger.corp.intel.com ([163.33.192.66]) by FMSMGA003.fm.intel.com with ESMTP; 27 Jul 2015 03:29:08 -0700 Received: from irsmsx110.ger.corp.intel.com ([169.254.15.29]) by IRSMSX152.ger.corp.intel.com ([169.254.6.154]) with mapi id 14.03.0224.002; Mon, 27 Jul 2015 11:29:07 +0100 From: "Barros Pena, Belen" To: "Barros Pena, Belen" , sujith h Thread-Topic: [Toaster] Usage of already cloned layers in toaster Thread-Index: AQHQxfb2MbKWRS2cgk2AvnWGaWcY553qhAEAgAATL4CABD5egIAAR0mAgAAFW4A= Date: Mon, 27 Jul 2015 10:29:06 +0000 Message-ID: References: In-Reply-To: Accept-Language: en-US X-MS-Has-Attach: X-MS-TNEF-Correlator: user-agent: Microsoft-MacOutlook/14.5.3.150624 x-originating-ip: [10.237.224.80] MIME-Version: 1.0 Cc: "toaster@yoctoproject.org" Subject: Re: Usage of already cloned layers in toaster X-BeenThere: toaster@yoctoproject.org X-Mailman-Version: 2.1.13 Precedence: list List-Id: Web based interface for BitBake List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 27 Jul 2015 10:29:15 -0000 Content-Language: en-US Content-Type: text/plain; charset="utf-8" Content-ID: Content-Transfer-Encoding: base64 SSd2ZSBvcGVuZWQgaHR0cHM6Ly9idWd6aWxsYS55b2N0b3Byb2plY3Qub3JnL3Nob3dfYnVnLmNn aT9pZD04MDUxIHRvDQp0cmFjayB0aGlzLg0KDQpCZWzDqW4NCg0KT24gMjcvMDcvMjAxNSAxMTow OSwgInRvYXN0ZXItYm91bmNlc0B5b2N0b3Byb2plY3Qub3JnIG9uIGJlaGFsZiBvZiBCYXJyb3MN ClBlbmEsIEJlbGVuIiA8dG9hc3Rlci1ib3VuY2VzQHlvY3RvcHJvamVjdC5vcmcgb24gYmVoYWxm IG9mDQpiZWxlbi5iYXJyb3MucGVuYUBpbnRlbC5jb20+IHdyb3RlOg0KDQo+DQo+DQo+T24gMjcv MDcvMjAxNSAwNzo1NCwgInN1aml0aCBoIiA8c3VqaXRoLmhAZ21haWwuY29tPiB3cm90ZToNCj4N Cj4+DQo+Pg0KPj5PbiBGcmksIEp1bCAyNCwgMjAxNSBhdCA2OjM2IFBNLCBCYXJyb3MgUGVuYSwg QmVsZW4NCj4+PGJlbGVuLmJhcnJvcy5wZW5hQGludGVsLmNvbT4gd3JvdGU6DQo+Pg0KPj4NCj4+ DQo+Pk9uIDI0LzA3LzIwMTUgMTM6NTcsICJzdWppdGggaCIgPHN1aml0aC5oQGdtYWlsLmNvbT4g d3JvdGU6DQo+Pg0KPj4NCj4+KiBXaGljaCB2ZXJzaW9uIG9mIFlvY3RvIFByb2plY3QgeW91IGFy ZSB1c2luZyAoZmlkbyBvciBtYXN0ZXIpPw0KPj4NCj4+SSBhbSB1c2luZyBmaWRvIGJyYW5jaC4N Cj4+DQo+Pg0KPj4qIFdoaWNoIHJlbGVhc2UgeW91IGhhdmUgc2VsZWN0ZWQgZm9yIHlvdXIgcHJv amVjdD8NCj4+DQo+Pg0KPj5JbiB0aGUgcmVsZWFzZSBJIGhhdmUgc2VsZWN0ZWQgIkxvY2FsIFlv Y3RvIFByb2plY3QiDQo+Pg0KPj4NCj4+KiBJZiB5b3UgY2xpY2sgdGhlICJ2aWV3IGFsbCBjb21w YXRpYmxlIGxheWVycyIgbGluayBhbmQgaW4gdGhhdCBwYWdlIHlvdQ0KPj5zZWFyY2ggZm9yIG1l dGEtb2UsIGRvIHlvdSBnZXQgYW55IHJlc3VsdHM/DQo+Pg0KPj5JIGNhbiBzZWUgb25seSAibWV0 YS15b2N0by1ic3AiLCAibWV0YS15b2N0byIgYW5kICJvcGVuZW1iZWRkZWQtY29yZSIuDQo+PkF0 dGFjaGVkIHNjcmVlbnNob3Qgb2YgdGhlIHNhbWUuDQo+Pg0KPj4NCj4+QWxzbyBhdHRhY2hpbmcg c2NyZWVuc2hvdCBvZiBwYWdlIHdoZXJlIEkgdHJ5IHRvIGltcG9ydCBtZXRhLW9lIGZyb20gbXkN Cj4+bG9jYWxseSBjbG9uZWQgbG9jYXRpb24uDQo+Pg0KPj4NCj4+QmVsb3cgaXMgdGhlIGZpbGUg c3RydWN0dXJlIEkgaGF2ZToNCj4+DQo+PnN1aml0aEBrZGVraWQ6fi9NRUwvaG9tZXdvcmskIHB3 ZA0KPj4vaG9tZS9zdWppdGgvTUVML2hvbWV3b3JrDQo+PnN1aml0aEBrZGVraWQ6fi9NRUwvaG9t ZXdvcmskIGxzIC1sDQo+PnRvdGFsIDUxODANCj4+ZHJ3eHJ3eHIteCAxOSBzdWppdGggc3VqaXRo ICAgIDQwOTYgSnVuIDEyIDE4OjQwIG1ldGEtb2UtbG9jYWwNCj4+ZHJ3eHJ3eHIteCAxOSBzdWpp dGggc3VqaXRoICAgIDQwOTYgSnVsIDI0IDE4OjA0IG1ldGEtb3BlbmVtYmVkZGVkLWxvY2FsDQo+ PmRyd3hyd3hyLXggIDggc3VqaXRoIHN1aml0aCAgICA0MDk2IEp1bCAyNCAxODowMiBtZXRhLXF0 NS1sb2NhbA0KPj5kcnd4cnd4ci14IDExIHN1aml0aCBzdWppdGggICAgNDA5NiBKdWwgMjcgMTI6 MDcgcG9reQ0KPj5kcnd4cnd4ci14ICAyIHN1aml0aCBzdWppdGggICAgNDA5NiBKdWwgMjcgMTI6 MDggdG9hc3Rlcl9idWlsZF9hcnRpZmFjdHMNCj4+LXJ3LXItLXItLSAgMSBzdWppdGggc3VqaXRo IDUyNzc2OTYgSnVsIDI3IDEyOjE5IHRvYXN0ZXIuc3FsaXRlDQo+PmRyd3hyd3hyLXggIDYgc3Vq aXRoIHN1aml0aCAgICA0MDk2IEp1bCAyNCAxNjoyNSB2ZW52DQo+PnN1aml0aEBrZGVraWQ6fi9N RUwvaG9tZXdvcmskDQo+Pg0KPg0KPlJpZ2h0LCBJJ3ZlIG1hbmFnZWQgdG8gcmVwcm9kdWNlIHRo aXMuIExvb2tpbmcgYXQgdGhlIGJyb3dzZXIgY29uc29sZSwgaXQNCj5taWdodCBiZSBhIHByb2Js ZW0gd2l0aCB0aGUgamF2YXNjcmlwdCBkb2luZyB0aGUgbGF5ZXIgbmFtZSB2YWxpZGF0aW9uLiBJ Zg0KPnlvdSBjaGFuZ2UgdGhlIGxheWVyIG5hbWUgdG8gc29tZXRoaW5nIGNvbXBsZXRlbHkgcmFu ZG9tIHRoYXQgZG9lcyBub3QNCj5leGlzdCBpbiB0aGUgVG9hc3RlciBkYXRhYmFzZSAoc29tZXRo aW5nIGxpa2UgbWV0YS14eXopLCBjYW4geW91IGltcG9ydA0KPnRoZSBsYXllcj8NCj4NCj5DaGVl cnMNCj4NCj5CZWzDqW4NCj4NCj4+DQo+Pg0KPj5MZXQgbWUga25vdyBpZiBtb3JlIGRldGFpbHMg YXJlIHJlcXVpcmVkLg0KPj4NCj4+DQo+Pg0KPj5UaGFua3MsDQo+Pg0KPj5TdWppdGggSA0KPj4N Cj4+DQo+Pg0KPj4NCj4+LS0gDQo+PuC0uOC1geC0nOC0v+C0pOC1jSDgtLngtLDgtL/gtKbgtL7g tLjgtKjgtY0NCj4+QmFuZ2Fsb3JlDQo+PjxQcm9qZWN0PkNvbnRyaWJ1dG9yIHRvIEtERSBwcm9q ZWN0DQo+Pmh0dHA6Ly9mY2kud2lraWEuY29tL3dpa2kvQW50aS1EUk0tQ2FtcGFpZ24NCj4+PEJs b2c+IGh0dHA6Ly9zdWppdGhoLmluZm8NCj4+DQo+Pg0KPj4NCj4NCj4tLSANCj5fX19fX19fX19f X19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fXw0KPnRvYXN0ZXIgbWFpbGluZyBs aXN0DQo+dG9hc3RlckB5b2N0b3Byb2plY3Qub3JnDQo+aHR0cHM6Ly9saXN0cy55b2N0b3Byb2pl Y3Qub3JnL2xpc3RpbmZvL3RvYXN0ZXINCg0K From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: by yocto-www.yoctoproject.org (Postfix, from userid 118) id 5A843E00A26; Mon, 27 Jul 2015 03:31:36 -0700 (PDT) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on yocto-www.yoctoproject.org X-Spam-Level: X-Spam-Status: No, score=-2.7 required=5.0 tests=BAYES_00,DKIM_SIGNED, DKIM_VALID,DKIM_VALID_AU,FREEMAIL_FROM,HTML_MESSAGE,RCVD_IN_DNSWL_LOW autolearn=ham version=3.3.1 X-Spam-HAM-Report: * 0.0 FREEMAIL_FROM Sender email is commonly abused enduser mail provider * (sujith.h[at]gmail.com) * -0.7 RCVD_IN_DNSWL_LOW RBL: Sender listed at http://www.dnswl.org/, low * trust * [209.85.192.43 listed in list.dnswl.org] * -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% * [score: 0.0000] * 0.0 HTML_MESSAGE BODY: HTML included in message * -0.1 DKIM_VALID_AU Message has a valid DKIM or DK signature from author's * domain * 0.1 DKIM_SIGNED Message has a DKIM or DK signature, not necessarily * valid * -0.1 DKIM_VALID Message has at least one valid DKIM or DK signature Received: from mail-qg0-f43.google.com (mail-qg0-f43.google.com [209.85.192.43]) by yocto-www.yoctoproject.org (Postfix) with ESMTP id D79F5E0049B for ; Mon, 27 Jul 2015 03:31:34 -0700 (PDT) Received: by qgii95 with SMTP id i95so48004212qgi.2 for ; Mon, 27 Jul 2015 03:31:33 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:from:date:message-id:subject:to :cc:content-type; bh=lzDqdNnui35i8CcsQRxCMShov4A5ADsGvmpunA2Izec=; b=X4zgWODYjBwLpK5BA1+8OBEdqHZl2U+Ug6/37rjZVNK+oX9g0MJXExWaSks9qi0zAC U5cpUqmuHEW6tVhlntgGOnwlsfE3KeB3x4kF5ljcDl3RaBP2a1Nb4RXszuSAhC3Zt4+a lgjUkPL5i3hjstFyaCs0amuRkCfrCq0I5yiClalFUeTcf6W4t8AyZpq1tNfhEpzKoAhn 3zpMpbpUEgAAYHAGC1vrXJaLDT6RYe1KZt//jJb7Yx1KDqvYKweAxgqD+MqYcMWmtArr NjnRCG8Z7rUztN8BGmK3Pt17unXKkXx3smX1PEmKUOHpyiMS/oO7NxtaBc6UHimG4bwG yWUw== X-Received: by 10.140.237.136 with SMTP id i130mr42529900qhc.87.1437993093313; Mon, 27 Jul 2015 03:31:33 -0700 (PDT) MIME-Version: 1.0 Received: by 10.96.138.226 with HTTP; Mon, 27 Jul 2015 03:31:13 -0700 (PDT) In-Reply-To: References: From: sujith h Date: Mon, 27 Jul 2015 16:01:13 +0530 Message-ID: To: "Barros Pena, Belen" Cc: "toaster@yoctoproject.org" Subject: Re: Usage of already cloned layers in toaster X-BeenThere: toaster@yoctoproject.org X-Mailman-Version: 2.1.13 Precedence: list List-Id: Web based interface for BitBake List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 27 Jul 2015 10:31:36 -0000 X-Groupsio-MsgNum: 2389 Content-Type: multipart/mixed; boundary=001a1135961484b767051bd8db58 --001a1135961484b767051bd8db58 Content-Type: multipart/alternative; boundary=001a1135961484b761051bd8db56 --001a1135961484b761051bd8db56 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable On Mon, Jul 27, 2015 at 3:39 PM, Barros Pena, Belen < belen.barros.pena@intel.com> wrote: > > > On 27/07/2015 07:54, "sujith h" wrote: > > > > > > >On Fri, Jul 24, 2015 at 6:36 PM, Barros Pena, Belen > > wrote: > > > > > > > >On 24/07/2015 13:57, "sujith h" wrote: > > > > > >* Which version of Yocto Project you are using (fido or master)? > > > >I am using fido branch. > > > > > >* Which release you have selected for your project? > > > > > >In the release I have selected "Local Yocto Project" > > > > > >* If you click the "view all compatible layers" link and in that page yo= u > >search for meta-oe, do you get any results? > > > >I can see only "meta-yocto-bsp", "meta-yocto" and "openembedded-core". > >Attached screenshot of the same. > > > > > >Also attaching screenshot of page where I try to import meta-oe from my > >locally cloned location. > > > > > >Below is the file structure I have: > > > >sujith@kdekid:~/MEL/homework$ pwd > >/home/sujith/MEL/homework > >sujith@kdekid:~/MEL/homework$ ls -l > >total 5180 > >drwxrwxr-x 19 sujith sujith 4096 Jun 12 18:40 meta-oe-local > >drwxrwxr-x 19 sujith sujith 4096 Jul 24 18:04 meta-openembedded-local > >drwxrwxr-x 8 sujith sujith 4096 Jul 24 18:02 meta-qt5-local > >drwxrwxr-x 11 sujith sujith 4096 Jul 27 12:07 poky > >drwxrwxr-x 2 sujith sujith 4096 Jul 27 12:08 toaster_build_artifacts > >-rw-r--r-- 1 sujith sujith 5277696 Jul 27 12:19 toaster.sqlite > >drwxrwxr-x 6 sujith sujith 4096 Jul 24 16:25 venv > >sujith@kdekid:~/MEL/homework$ > > > > Right, I've managed to reproduce this. Looking at the browser console, it > might be a problem with the javascript doing the layer name validation. I= f > you change the layer name to something completely random that does not > exist in the Toaster database (something like meta-xyz), can you import > the layer? > Am bit new to the web world. So I gave a try with firebug to debug which script ( Javascript or any ) call happens when I click "Import and add to project" button. Even after changing meta-oe repo to meta-xyz as per suggestion, the result remains same. But this is the output I see in the firebug console: {"current_id": 5, "current_url": "git://git.openembedded.org/meta-openembedded", "error": "hint-layer-exists-with-different-url"} hint-layer-exists-with-different-url Also attaching the screenshot of the same ( to get more clarity ). Thanks, Sujith H > Cheers > > Bel=C3=A9n > > > > > > >Let me know if more details are required. > > > > > > > >Thanks, > > > >Sujith H > > > > > > > > > >-- > >=E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0=B4= =B0=E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D > >Bangalore > >Contributor to KDE project > >http://fci.wikia.com/wiki/Anti-DRM-Campaign > > http://sujithh.info > > > > > > > > --=20 =E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0=B4=B0= =E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D Bangalore Contributor to KDE project http://fci.wikia.com/wiki/Anti-DRM-Campaign http://sujithh.info --001a1135961484b761051bd8db56 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable


On Mon, Jul 27, 2015 at 3:39 PM, Barros Pena, Belen &= lt;belen.b= arros.pena@intel.com> wrote:


On 27/07/2015 07:54, "sujith h" <sujith.h@gmail.com> wrote:

>
>
>On Fri, Jul 24, 2015 at 6:36 PM, Barros Pena, Belen
><belen.barros.= pena@intel.com> wrote:
>
>
>
>On 24/07/2015 13:57, "sujith h" <sujith.h@gmail.com> wrote:
>
>
>* Which version of Yocto Project you are using (fido or master)?
>
>I am using fido branch.
>
>
>* Which release you have selected for your project?
>
>
>In the release I have selected "Local Yocto Project"
>
>
>* If you click the "view all compatible layers" link and in t= hat page you
>search for meta-oe, do you get any results?
>
>I can see only "meta-yocto-bsp", "meta-yocto" and &= quot;openembedded-core".
>Attached screenshot of the same.
>
>
>Also attaching screenshot of page where I try to import meta-oe from my=
>locally cloned location.
>
>
>Below is the file structure I have:
>
>sujith@kdekid:~/MEL/homework$ pwd
>/home/sujith/MEL/homework
>sujith@kdekid:~/MEL/homework$ ls -l
>total 5180
>drwxrwxr-x 19 sujith sujith=C2=A0 =C2=A0 4096 Jun 12 18:40 meta-oe-loca= l
>drwxrwxr-x 19 sujith sujith=C2=A0 =C2=A0 4096 Jul 24 18:04 meta-openemb= edded-local
>drwxrwxr-x=C2=A0 8 sujith sujith=C2=A0 =C2=A0 4096 Jul 24 18:02 meta-qt= 5-local
>drwxrwxr-x 11 sujith sujith=C2=A0 =C2=A0 4096 Jul 27 12:07 poky
>drwxrwxr-x=C2=A0 2 sujith sujith=C2=A0 =C2=A0 4096 Jul 27 12:08 toaster= _build_artifacts
>-rw-r--r--=C2=A0 1 sujith sujith 5277696 Jul 27 12:19 toaster.sqlite >drwxrwxr-x=C2=A0 6 sujith sujith=C2=A0 =C2=A0 4096 Jul 24 16:25 venv >sujith@kdekid:~/MEL/homework$
>

Right, I've managed to reproduce this. Looking at the browser co= nsole, it
might be a problem with the javascript doing the layer name validation. If<= br> you change the layer name to something completely random that does not
exist in the Toaster database (something like meta-xyz), can you import
the layer?

Am bit new to the web world.= So I gave a try with firebug to debug which script ( Javascript or any ) c= all happens
when I click "Import=C2=A0 and add to projec= t" button. Even after changing meta-oe repo to meta-xyz as per suggest= ion,
the result remains same. But this is the output I see i= n the firebug console:
{"current_id": =
5, "current_url": "git://git.openembedded.org/meta-openembedded", &q=
uot;error": "hint-layer-exists-with-different-url"}
hint-layer-exists-with-diff= erent-url

Also attaching the screenshot of the same ( to get = more clarity ).

Thanks,
Sujith H



Cheers

Bel=C3=A9n

>
>
>Let me know if more details are required.
>
>
>
>Thanks,
>
>Sujith H
>
>
>
>
>--
>=E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0=B4= =B0=E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D
>Bangalore
><Project>Contributor to KDE project
>http://fci.wikia.com/wiki/Anti-DRM-Campaign
><Blog> http://sujithh.info
>
>
>




--
=E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0= =B4=B0=E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D
Bangalore<Project>Contributor to KDE project
http://fci.wikia.com/wiki/Ant= i-DRM-Campaign
<Blog> http://sujithh.info
--001a1135961484b761051bd8db56-- --001a1135961484b767051bd8db58 Content-Type: image/png; name="Toaster_Browser_console.png" Content-Disposition: attachment; filename="Toaster_Browser_console.png" Content-Transfer-Encoding: base64 X-Attachment-Id: f_iclrxsyr0 iVBORw0KGgoAAAANSUhEUgAAB4AAAAO6CAIAAADxbt1JAAAAA3NCSVQICAjb4U/gAAAgAElEQVR4 nOy9d5hcxbE3XNVnZpNWu9IqoIiEAAEiJwESSUSDTTIgEwQIIYPBOJCDMRhjY/vymhxNcgBMNsI4 AjZBYIIBmygkISSBAkFiFVbS7szpev/oqurqM7Oy7/N83z/f8517jXZm+nRX/FV1dZ8+uPM2mzqH 6ByiA4Q89957IvLeA0Kp5FwGHjwSICJ5l3vynrwnICICAMqccw4RIcscIiKiJ8pzD0QAgIiIzue+ mnsEcBmiA3RARERAHgjIOYcOM5cBEXnMq7nPvfeUZRkRISIiICI6BAAi8p4cQrmUlbKMCHLyee4J vHOYZS40IEIEIADyREQO0WUZIgCA954IAAAQAIDIQxjCARECEQI6B0EglHuHgTEHDhDQA1Uq1bya eyIEQIdZFijxBIDSKQB4IgTCzGWlzANUq94TOYeZcz73QOAcZqUSkfc+EGQ7ICBw6DKHQOR9DogE QD4PxBCC90RADl1WylyWASIRZphlWQkAECjPq5VKD1EOAJ4AACmolgKxAEG8AATgnMsyB4is/UAK AiISYlbKslKGiJ48EJHPg2ARATHz4RYiBCi5LMtK3vtKTw8AOZe5LANmj7lDUEUQOufQOedcqZRl mUNHHrzPK9RNAN77vJrnebWa51FxHsADAThAIEAE8uQyRIcuqDKYKwCgqxL5PA8jOgR0gAguw3JD lvs8rxIAZs7lVV+p5A5dc3NztVrtXtdDxHQGSSEAIvcPgBg+AwKAByLAoHRABGI7JYDgXBk6dFT1 eansmpqbELHS01OtVH0VMueCSIgozz0CQnAOIh+MlEdU+wiiI/Y/YPVBEISozTnISi7IBAiCaQbv qFZy8MwZiU4QAZCCK7OzOUdiJ0IAIgIRkKeenrxa8ZECIcMH2yGymkYAQQkMcvLBSYEyxCxzDp0w SEF3QQygwyI651zmggYIkERKzD2IR5PIKwzhfe5zIiLLBKJDF1oH0lGuRNxyEeubh1IN5d57ynOf +zyngAYBSkSmLhgkIBDmlOc+zz1jaebQucw5pyIiUBAADDczmxBAl7yH8FmNksJdiaCQYVg0zDwg ImaZK5VKmSs7lxHk1Tyv5rn3ufc5QB5IRkAiFMmSC0w4NnU2GKfyAiKAAANBMKie4hjrEQgg93nV V6nqiQgIiTyEH4yYSToKH5BVw/IA9QLyHKUIHCACBogmIA8+z6vhRwhG7LIsRCZAD0Tgg7gzdAiO KNBPnsiTBwDDL1uUQiYFyCPKg0EFY3DRPBGRkD0xQ5cFCQCGpuT5njAi6N8SSkHMjML/QoQMIAnE liV/MM4hkXqCxKMgEWCRIYWBQzgm/RoCv6ErYZe1mrlShlnmMocZgffgc6oCeQLPZkqA6AK+BOcl oGClxjhDeOehFU4BADDgg7QDUktFQHSZcxm64KEYHIDlDwRELtiDWj2HFRdNB6RjUNGyl5mL9RIp 4RYh2KNAPItLfFPRLjFcgACGokfBVGK/Zloix3ov9HJhQi+mH+s1jn8iBtaEaDLcUQwUIKH/P14m aAMhCVSJCyi5CjqaX9lMSxpJr2wXqkpEoP+GGtAsCSVUWHi2nhUFQ+ZLJk2ie5CtGEMN34Yw1Z/0 aS+F5ZSP9XOkCkgHZuUZpFe+WfpFQhMrNv1QbFJDECbf93bj//Iixsx0FFCdMfl1hlVASCKwwoJV uYiHiNWIqnZzl7p/PV6klxjcQ49o+rH3KUTXBq0aqyVOAxMuOSM1dxqLJOOkkmAKqyC2zYmiNUIV LmG0vwDzwhCIpMJdbJwiUEMi5yDEtwWSMEzBTGoVoTBBMoMCEGNcbKEQELgRXphl24GhWskBTuBE VSHFVU/3kpKFvjGmU7V2VnRezedDJHSICJK1aZi3nFICah445QUxNXZFCeVGXoQmoVHZE5EnbwcQ wpR4/dOInxKfV0Ih1VDyjeEAzXwlvUwGIgI3qWlMwmxvEq5Q2qShN0ET6aQOWFk6bf9JqwjKYIQY iY4fxFSiN6HeoHZO4gsIQGEqRwDoJI8O6V/uQ5HB9Cn4ou4k40SaVC5xLkk6fn22az8bXC+IDHu5 IzZAhuKolNQW6gFX/Z4iV2mciXeIRQXs8OTJ5x7IA/CMDwjQsZNlmcsQMwQHlOd5dyWveCIIpRYA kDhHcWxEcA5dlpVKpVKWIUKoHAAQ+dznIed3GNN3zX+8ZslmqicOTmb2p2iJElbEjDX4RNyOU3Dg nNvJ1AuRiHJf7e6uVKu5p8QvaoUYTC1MPVyoUITZZSiEias7lzmHJNMNB058IKIfAWfLQGBQhUDK EgUDYaSLeiRtpNgrqq7Tgc5GZX4Sw1YM01zgkiAUMgRmSpzRk4IGyhQ9NlAbFJynYgZOBbMOFIR6 gkyPRPAq/CQA663RcrgTm8xgnJPq5Jt4DkNxWiYRhbyd7bGxGNyIw6XAItNv8Tqd0gffEgvUBjEB tjrjuJ3+YBrYMov0kIQhCWEpKGBMQtKvdVAbwpUA/UNGQ3SlIDCZbgEhgOMCRIiXPM0FIA+eKPdh GsgCsqlimOYiIoS6AGKQsidf9Z76b5KPOw7+N5df76/d/6u+/v/r/1tXadb9pc55Wr4hIA+M2gDg EEsYam0Ovc8BuD7u0GWI6Esl5xx4r3UtBr2slDmHeZ7Hcom4aIB9COEJTFouU5KCoxIgAXgC9OSy UHBB7yEsloRiOhHlnpAEqUg7s0AY80RBIB0EwaCN5tzaNpSWCAk9ocNy2eW5r1YkDSEkQvAECJ7I IzlHzgECuQyRKKyLONSIFjAhrBCEiovWwgAUvFDmASCTHWerh+EnlryTNQMB9JgVk0FVNJAd0gEz N4iiSGSnkVF+1jBbL5FKBZpmgMU5pzRFnqsQIItDydOFBIBQWycEcIAaOGPAY8g0AhQVxsmgxLgQ npPEXirQ2i8RoPMalTidI01BOKX24L3PPeWec0SEEDoxGpWma1zyA+DUx7nMZRhWTUirwaTSIwKP hEAIFHhGACTMKSyGpHEyuJILo6iMCWxSkYY6LBarJG+hqN6Ya4olSHziCTpJ9YBkCmXmKYFfU7AK HGoSFVSLgCBZJ6HYCmcpmqpwyoNpdsdUaumB1EIl7SWeuFjD50TcyVyKPK8lxgSQf0XFCkRJGJgt BEDInANd7LGpdmiBQEQ5egBfU8Yi8y+qthQjQNNEkOxPDBXjjJbSSh2iZJFE5CnH3AMiEFLM14Jv Kc4RyDIzsvUSAIqgtd9CrUalT8mntIVIS+bWNXlpcoWsFrV8pQml5ZASV7cDJ53by3RlPBxMgUlv NHejZVchhQDSAljRw9ZzaVyydsBAZ5PdtI0RcAxhNb9J9RmSRD8OW5AOSjId89qi+KwBRNOlpA+I Qiwo1abJcQYUS5QU7VaGSTC5GFxqw4zeZg0lbWVpMjCUphdoWZY0oTgULzmpaxfoLES7YuirQ3Wv v4L6p0Wc+JWhqbcOopkIlhIl0jL5gPakphirp0zMeugFaQNqgSkjHDbr9RF5NXaN1tHAyMqYKqWl YSvSOBUsCkdYTM2Eiu3E+6JtS79cxTGrAtGi4xyfJcvR2zCO2qPh2I4bgmfBHRHMPD8CpLoq1sOe 8CUmbKqXmGIEgsR/DsuoQSbcFcsRTFYBIiLBSjSJQ7EQ7boWiM9roJUEIBVC7A8ALQqbBC9YW/BK ZY1jMLOgMc2gJmmnZK2+noUXMBpTtvXv4q1Y+CDrc7a002u0IGPOdZYRNUtgT+mlj0hhDOKFmMym UIdxErUp7ESaYuRMBpPAI05gJcfN1gciaQ5KhfUm08qCH+rAyqtSZhUlH7lb4S5pUENuceQCQzb5 0A6Trur3ZFb/VKZYmxCA0AsAgKEO6ilBZZEFsRMUpnCBouhqgopm0kShU0co/oNsLcIXu7NYShSm jRuoiBWVZgFc/UwglCQVF0vRDJcAkRCcIzDD6hRCICgVrY04CA4db1MTqnifZ5xYITrkOi1EkJW1 Wg7utVojM1hvbiO3x4aYJE5pYDN/2FkqZ0bp7wBG/dZURDixBwdEiKLrMJNEsuuqUZ3svHHFoMYx VFtkBRCJLtTWQ6OU+PVdFkiBZ80aU1gXOs+KgqzTUxqFCvkAMPdSfOYbiBngEjcznARqOyTKl1DH BOqFAaM+6UWzD5kciqwKca+A1ukVMUxq5ggl3S0XvsrQIRJ58q6hs2nLzsYtukrDe7AvAJRpVUt1 cdvad9rWvIW+ElzRxRKRlJ3CNJ9k8g9Q8R4A/BbH4KpFAEhg6gz1ZBK/1KkqRtPk0QyzKd/1ubYA lIThVNLJr2KnGHSOvMYBJDIM0NPb7fX7R+mSCiTVvVIW2alsrFwf/fajzaA0CyaUwlTUwvrpr5E6 /XfC5w9k9R5KuDo8FeoGRgTGm9TaqptNLr/80zyUnj0RgiOAsNGbyIdFFe89EAKWs8wj5j4PBWR0 AI6XkXgnLNemoJRlceUWtYIKGrGCG2v27BhKkbzKMeGCqyeOQ1XuqVqtoEMPlHNZicBrqEuQUbc9 8k5KQCAIG9AZl2oExstrAMQWJl6IlDl0Dn0OLvQYsl3Z2RkWe7z35NA5R6DQBjnIBkRAIh8mennu A4Q4LrbJnCDUvCiCUwQsDO7DJT+EsHOV91xHFSOxVyVJhRhr8p2aSGIhcSKi+CjKESCPqrQipJgh FcSKosso6MBx2IwNFO0EBRTQhDWisMyADlD2jXM9mVsHQ5GOSXI+zrhkBUB5SeIniDcJaWKsXPDi 8h0ihZ0InhC8R92Sq5QXL4cuQ+ec0zbOuQwzhxkS7912wFapBuMDLjKJHkMJnrfGkgfvCJMqBBKA sQJTuohSj3s6Izwn+Ya4pKI9ouxJ4G6CvyEgOI54RLL0zrN0YFPWUCk3stuxH1jDcABmpzOaDcpx whyeq4lAlpic6DlyjoAezOQHNeoA75DgDenqEaJ6Bw7Dpnp1KMGSkNAAGwci8H4NcBgeKfFehenR A4EP1d+wYG+9yohFKsuUkydZ7+dxkZ9TCQKWmSwKOVoxiiVIiaa8Pz7UbKW7wkSYBO/RgboQolR5 4hVnJxZSRN3R6aD2CssxGsXql87UFY22jKBQAq+gPSQ/QwyMtcEcoFizJqFLWxbCKkjWkgzBLEu8 rU2BwAB+XVnU0m1Tn7ozLdYqRTQMItCqTlKX4CyPUqytSQgEtc3nehmUGKkNxbXxwqKeLJMZhqS1 +i2bralBQ/yp96uerKFWymajXJGVCAD1EiLzJQnWJD3Ihkei2iyruCpRQ3IvEk7aRh9Q77Nzsv/2 quOHBXIldRURiunzNjHrZQSx1mWrQ4k2Ux7tz+noBe51Mc3MzrG2YdHbEk6wdsVFmyRCQJCFNlJb qGkUqU2wAVgRavpkRWpKuuY32VpLaZfcQH4xBLNbC6lgtkLGHkJiI9lhTPms4BUGSWIiRt1J9ib/ 412VmuSR5Uu5l050BCgQH+8w87kQmcxwJuxr3cOsHFPSX02cSOqUFCoWYBEU0RHkhgVWYpAWJiLS eBV1Y9I4jhciMTI3WnRDWZFKyDR/W+3Usez0sukr2hBVvzXHBBPSUdWHUYUaVBPIS4UBiVZVYWp6 FuFVfnGSlbgmIhJGncZwRrJZwbTm2WA9VVuhRgol6CWNjcnXXqo7G65rbo8t9e+k5p3GUztYnW7F tuw9MSxptyibnSS3QVBlajQgoLixFWIQEdkRl1PYQ8PdLiXJLm4piVwONkDHk1yZhclkiAwMGXNK FgKjNdVEzfiXOjzYhTiZ6hLEcjyKxzLG6SwAi6aseIgoj2o6F3gLD5SHB3hJJhTiZQI95EnOHuCt muJ+hEp+6B9kdxGJ5qxKYkJmgoHIhLgTgiTfk1aK08a3gPHHhEYfuxNl6iwJABDDXjdfMEiT9ZP9 T/DV0047c8oJUwHgV7+8847bb45IZ/WO5k75QxCd6WA8YIgUaGVA66UwZYu8YIE2MpaGHnNjwcxS /tB8HWmNPxndJK4vUlXjotgg8cuk95qtGigmlBBoR2YXcJFjkR0CSE4V6/62f0C08A5AACWeZToI z3eHa3nDuAUtX+rO+llBdWP/7ob+XzRsWW49YEjnH9rXvJmZgo6hhqehGUHmEMKTsQ5yOVEgsgQa i4DDEcblYekvjEGykVC7iLac4K46lmpM0IZEkxg/2hyUqVG0IEB5Ujh6m0X2mAsk2oL4TGngVHd2 geTLNl5AnQlD2mMMxTq6SYbIJl52aENPlJQiTU0s4UKYAmkAF1UDPwAHPN0lFYnOOKy1if0bd5Gq WkIbhXNPDDXSv640UjQSNRoAAPK6MOHJY6iZkngtYe7Jkw9P/GQOHVCJ6y16F4TSrtRD0aFDgJ5K jyevwBQioARKCkWbkIw4lIcu9LkqH1dAVU9EoaLtiIKzEYILD+2JqIwaQO1DDCbjZ9wRwHt+/ECl WrCV5A9CH+qeCBmCcxieh8pKjjz4KniPIcrpg/WI6BgOIuB5CidMkJzkQYDAhasQZUFKWoiZw4ZS lud5XqW84ll4zsw3gmkhoGym1Xq4y7AhK6nYfU7h1J286o2nomKI2acjZh5CBlcKdI2eRCQ8hWLU YsQ08I3aucpWFZJiMqh16gACzuz00ousYMtIEaI9+YxAzFZ3hWsIjL1r5dO4ipIVvkUA4LOUOK6T Zk08ewprDWHbv54bA4jgKJzJEnoSsSLvpZWTEFjX4ZQeCMVPCifyAICZ7Gtd1CEfi5AT6Xo+EHmK aM6CCstHwfelYKfRMIo+KdDIMEy6l8iA6oMkYgrC80AOHYILz9h6JPCeMCdTC3OsBE5CSLJM0AM4 whkezgW4degy5ySoYBhezCvigM0W9I/IiwRskg8EXHrFaJb8QFIGZk93UC0fpiGqx4BJJIkViY3H ARGRFxICmjEeybQhzz36MC02sxFeP+I0haXqZXqmxwLFFCROJxAMZ2JrgBAfBVaZxK01GqY0zpp8 g1RqBN6BYy/T5jppilV6MFd0EDD+jRpvMbkjCW7m2xoEBjs+Jo2iCRSsAZNqJsU4HdFH8VMyk2Ag gOlGWNMFxdYiTLlV3Lm3u9IcpTbHAQDgnIZBTegRPmwR2hTLNTkQfAGIaop9JnZaTCwK8olV4zrJ fsqj/Gwm1GzIWlnTljpfD24jn2JkAbV1oijfhB0NEAkJdS9J2mz6VeiQbIptgCMhjJmOzqYDcD2N wp4iXfDQrLtof5TI3Mg0+YoHwvghiZ712LVKIiP3xLfQDEYJdBkTQhSoJ4LIgfyTxGxUZSTOSxKq 6xPKaERWjZQQKuxE8dWYgTVXRRo7Ktnvw1lkqRsoTihw1q6EaZvUe0x2KcKM8BNJ1PJwCDqo8EtF fIkoBADhfLf4CI64u9SNha4orGTSVhc+dRgSspEzTgZnM4XSCC3alfJKAtwJKlgwMYJm2wjbSHzI baWOoq1sVZPX2+NMG5hvwQRUcVtdkcBfesxMACIH6L3NcHQxjkjZ5h0Lel8MLqJPpUDW/NJoEz4k n3iOKntWKPmpNyUJyBg/EzrZKUmGMjpnsNGiWKQM4xolWNAt0kFaWlFjF3OM01/HFfbUTUJqxBpj ywz3F0QU70SkkOFSsrDNKsYIt6TVNDteEgcllkipHYrrPCTljtRia/kwgE8J1TX0G9YlbyioNMES NNQUfg90IW80TKAUMDIQv2JSxLUYJ1HSawAAT+BIZu0qESPiAhIyvzIv52kxz+Z8nA9yEEWVXzEX SBzT9F+w9dqvOfIDEHnKiSfjCN4REj/EF5SKtgMdsoYhhygnbyBiODKDd4WZU3li3kuh87ALnBw4 h44cb5rjipXwhQQuoBiyQBSiVVBhY5fSFeUhQydbbpKAymNYlJGQQeou1g5JpqncWGbiBICmPBgG NdRoNCcuPSACwLHHnbDNNuMyl73w4it33H4L6j0UtcRBAdQAxNiiwcmgcqCTbR3L+YlA7BSBQPwC FIxiTmN92+JLDaZyI3O0SNGbI96mIo0BvdhhQZPKmInW6jHRFer1Y8bTnon9XeqX6XaDkFhGdrEA a4wDUKrkOQK6zPHxR+gWth78SfOuNh8vXJWs30cDjutqGD18xR+czNhNAOO4GPZQZQ4z53Lv5emB GO7NJ666y9YSiT4sP6llxlDG91IaKxkLLKMxQlnx6kfUVMdYiJSugm9YHaLsgkajhxgBNYohxcyA AJw8hW9MwRLZu6i1BQBvNYxfsD0FYiRtlbhqmCchUsgNpRKt3TCnAYXi5F/kQ6n0bCSAKO10wCC1 JL8kNLCnqqTi+pJqHKQOFrdSphd5FFh2cji4RDYE2dqLCIMHbbDn3vt99tknL8/8ewkpQwfOVPQ0 gyRyvBvQZ875UJMBZVJWLQB1iwECl+cQyQF68oZalPMWFHwIEbOyQ+fyvJpXc63wY4aISHkoKIUS klTRspj2yJqo0a9WVtTIJU13yGeoMkK4IHSHjjCUmxF5C4lXfA+KCo7F2OyjnChEfkCMMc5kDIHn ckMpHFvucz5nGgEccO6nZhU2ofLjFw4AwWVYKmdZhkTVkAWRBwhbywl8TsYA1aslBVQSdCodrMim I8COpqEiRiiIyQrEEM2MLV7y6WfLviian47IuMVW1K+9dfDA/iEQB2mFKQWiQ5mno0xdSAQvM2FG CpF2MGo9gBgAIAJerMuiBM5wbh2fCBGa6L3RjSE4R7wLABAdkbcoyIVMUGQgSRgw3OTB597z8cIi TEkXAMyGQkmnvPe51ZYSaXQqDsnpiM19YkzV6GfnLMSEiihBykSePHouxYYVqHAqO4azU3JC8JCT vmzA8YnIZhbNPkykR6LLyr3TU77VtpHROeJujMpmwsL8geialxeEcDSlkehr4uThey/qZTU6XiAg 6Vopj5oHcbpw0pwep64wRQQAPmxdBpTEKmI0yRzCOSIkUlxkg2M521iLAB5Qd9+anMfGMzD9QxCg QhpnK+aK/hC8DLyIK9nYqBAU3DxOXetEFCMjdg0rc/M5Bn+wYomN031n6WAaKdMLk3/MEFpJj02F HUNbkf50QHF/iUN1EtbeUhAq/EQUUdQCbzpo9By9TcHb3EfGSPRn1mgdnupSWtxwVpvbF5lQFxRV ofks/RRErlSwbxLpXDxVKEoZfX0XFjeZGAJrDKbISFEjZvTCTypVtVFgW1AR279jZzavJrV52yek Eo15QDEmqQ8kP6cRuabHJMqBeAFvB0mtJ/VBX5SbIA3pZ6pRbgyDtZfgQDwfqNi3+d0MxM6rsQiY 2VglrzFzDoM1Ncu0Aky1xhMHrPHWRPN6Z4wjGFtFODGbvvR9GtrASCSSp6swGtHFukjpL5Bm8QmN lqx9IUi5NRlQ/jS2K+BiCqDpVc9poq50c5JaVFjMjpuiCDTlMHojja9oHyWNTRLUIWUSQCarxi0c okRJKQop4oAak2JA7CvO+VKYNMimPwrLdtUXWadWZ8YBtV9r3wkdduzApi6ZE3+HJv/n9mgUIF8X g2NMGhTnY1kJCy2TzsLP0jbYBEbTx5RL0KhqdZaao4mjCUiT/qwUFIK5eFRcnVePMRQk46Z01V5o Ri8IzfoKippEftbtgu0WIx3W9GKkIskgpWtgBkZqwSWRElCBT9L/ACNHzCyCBsPtGKtLAjCRLt7P FPAtVqJMr/bi+VAxyEoQE/gyoJUAd8AC0nU3/sWTRz5tkCixzuThRyvkMEVCnWqZKR/PCcyENdor B0EKj50SIDlEj85p0VWUhw7JpylRmFaIUcSqhqJ3it+RcC6to3Ri+kvgQr8vZndyZCkybTqbDEOK 1hn2wwt7pNZrCKFvnP7tY4+dUiqXAeCtt2aFb2e++Hq1Urnvvl/fdusNYMwGIC4gmwAWCZv+9dMb G5tuuvGaelXcaEERBAMpGLnmwqsgTGRYBKIm3NzcfNyUk+6647aC3Uk4E3NidLRkMnxSrB+rEgwk pUZmImQk195j+4rk2i/QqrHAmdxhDZP0OWyyDcxX0YhCi1I19w6RRE0ftx/0actuNaPwNXxgc0/V f9bZDYDL+04EcCNXPo4Zz2mjHTsAD7n3COBcJlr0HKSRkHD3l+99d7O9lvcb0b1mZeui2a3LP36z YTAAlFv6NPdtb+43sKGllUNGXJO3oZgKajYBFKP8UVXA8o8PvHN9wtqS2ptHQN5Sp3qUE83TxuFm zw6kpFL6OyU5Y4hBVom9CVybS6tCtU3DUKEHL9vnfJ3F3TAFZXTXPjwAMuOxfRiSEqGhcRGSqJ5Y dHRVE6MoKs7eg/ZO0YiJWRRLHBxVePmcPL9yEMiRy7V+Q0QEnoAImptbJuy+15iNN52w++4vznzu vXf+tXrlF45PBJC6C0HmHCEQVbPwZgOMjkcAmjqFv51YEJf5DLg6cLkUFRkzeBw+XqBUcuXGkg8H XWToc/DkETDLwKHL9dWZsQrFEgj4GcEnJnmQ5L1iLg7DS/+cDYNMVCgeZQ4B8tyDrLbELkgNNvQP cuQ7Ach5tzVAFHp3DkuljMB78rmvylbJgDkydZeQLq+pQ0QgJOewVHLoIK9K1SvjcTHaCzuxzbqK GCmcEIsu/qjrBjXJR51LM7HPl33x3e+e1dHRoTJPNjZA2AJEALB8+fJrrv754IH9LSUSBIitTtIJ D+Q9gfO6aILaOiYcWj3W0VRF9gvgFEZeZME65eCQiwmgiTkqJydzHuN1oK8bikZhcIEIyBPllMf1 mzS/5YlUKP4Sv9sWPIWsCAH5BA+J4fyqCBWYOcRR4RtNQiAlU+RifmRInY8vPuFak1S2OIeAQKHu 7pl204DHJQ36vAojMCAHl2spWpxWxaH/M2l89F7RKiUqNsYVXMxJeiMKItUF8et1k/RAX55HWtZO cBgBicQVFdk8EGHMesmDHNQNAOjCERfMRRyPp5qMILKOAFEbUtIIUBLm20TixYZL/o+Jc4U/MUpF zEM+oJhCCNHhX9LATWYUK6maOUEyrMoT7Hdm05qROio5mNxIhR6FhIqRmLUAACAASURBVHRbWnHw Au/W+wToWf2CwTEMJwwl/KEufBAIiIpUUjFottObTGrmw8kXGkjIfEXJ71hoXNOIp0hqI72CtVYj ySCVVSyiZpy1JKt1Qvwn6dyQSHKbqbhoxguxsCC/EXtafPCNZMperz5en7lapsmqJqWw94Amb3Mx YuEbdVpdMObEpiBt0ButqvmacXQ5sJdumAJ5RsjO3Y1VWDoTg9N6ekSm3oeJNxnniYJU/CLQxYU6 PiJdCJtSwCu2sgU34UkCs/zP0kyRDuP7NTghY9WjrGjF9URR68GWoHrzzToVXUywO1ZLE3tS77Hy LrpUxG2zjcwaun6JfIOEStQXChtzQTGmWh4jVQbGmQJSRuLKfOiJYtsY10hK0mZ7DAcflqLMj4qr h6LAmF1oUskxGU10s3cIWXFXeNo11TAe7yyIoFYYBby2nVhLozpmV0SRQt2pMHKwGbsimhJimtWs fSftyG4WDCbBNiaKiLUrAIg7ZSGOLJZlx8UC+WIPForEQdM3f8a7asMm/4jGjGpbxT3W4lm9RAtK TCN6lAjANLTxtmiLNeQVCFVPUAwvak3aggRT83CFvvmlYF0aFSlun9Vtw1znRPa3ZKQYmMhuqjE8 RiSIP0TbRISwQsnepwGQqS2e4h+zC9VwNAImgKzxEVDqPWgTBYs1Gud0UsJmzvu9yAOQc6j+rs6t xs9TB+/JyZxG42CssRSBECF2I5JRuQq7qENAbAIyCVEzgMTBdByGZzTJAGkDni4I1xClLgAvJmfO 7ZABgklOnnzs8ccfs3z5cqMqIIKOAR2/+fV9t916g/KV5Et2eiEdnjL9G6dM/0Zg9uYbrzWpQEFk ULjIeqedxAje6xxIJo0IAMdNmXrqaWd89umnM2Y8WtsnBxZuHalEWc0LH9hi42mFidwtxXaNpeAk Fqzs3arRAhanOFKUkWqWYwQxCBZZROHSkFIKvIaXVK5o3qpQfW7vUwaAFV2V8PG8yZu9/eGKO/70 4VF7jJi9aNWb83bt0zNvQPfbzkHGVWwHCl0+7I4OLzML26uJH3JC2Ke5a7+P//zTzh3z5Z9d4OZB AzxyxQOAuPjvT95w8scLXvjgpgdWUr9hn7SPjLurdR6lKCfPs8Sye8GE9HlDOQ4VAABjAOcQRFxf BkCU7RZpjAyn30rvVKs6TkeMRkzos2FePtUqaP2X5PE1Lh+rAyZTgAJgWnLjRm4+pFNEFypR8myt ZEd2NzqQLMsFJ4vPnBgok94ARF9mzUCxWPL8SDYJPIa+YrXaA2B4y2CUHxE4pw/EOgpP9ZP3WM19 lrnNt9h6/K4Tx2251Q47jV+5snPXCbuv6Fz+5yceBAyH3bNEnHMuK3nyCK6UlRAgcxkShQfdg8J6 cMSEM08e8/jlDy3EEHt006MAKhLwuaVejzolW+ghRMhKzjkg78M5CeA9hEdoMuer4SBrQAR0UZH8 /l6VqRhb3A2fVGagCsMnnDlt4yd+eM9HI/c489QxD5z32Iq+4e6wTzycKwXhYb8A++yk4HOpWoX/ k8qdlwf8ncMscwhh07QAvKoLKLyaNxwBnJWwSnwecCx2IYbnZkulzLmME4nAgQN04CnnYmoIr0S5 p9zH4iRKwq5GbfGw1qcYEoE1UeMOSUuFX40uiOS9X7t27RVXXFFTfZYbZWVg6tSTKRYj1Me55kah 5m7CdngsBMPLndlnuQwaXIcIwlZ+Tm4AQJ9dICCCCg6feMbUMU/88KGPMuA3uKOephwK4+FsBWfC VVd16MQzp4554MJHV/S3SIFJCojh5BdhJaRHYdk/YAMfv4EEPTBix5Mnj/3TTx5YuvH2J0/e9E9X PvZJM4Qz2BHJ04ruQXucOW2j+897pLPdyYnJQETItXuQCoJIT4p6SF2VoXt++5SRv71wRmcb6gZJ o0GCcr7zdy4afe819y2qlkoMEJz0EQGsqQyb9J1TRtx3wYyV7UgO0AHQOj90mxOPHPvnnzyypIHZ R0RsXLPtGReNuufW3y3vaSgRSj7ogXnVJQypU8ckIFaaEQDIe4laJqEjIg62aqp2ZsvJGUjiCgwh wLZAbM78gU0j1NZd2NntHPK0NySy3ttNgzwMl98Rgcwyk1eH0f8ShkCO6hgxiwgoyMslyC8uphD+ ZbqXpC0yHZfkG6LYxGRNwmiMIeY2zBdLktfN2Tz14VCNX8weQQE00okG/ym9xKO+kssmewl8FCaJ NuljRWpEDt9StJmaW5lpSRITw+L7kfOXXmizTSM1KKUS7TryjenNWOjCLDpo3lp8yVfK93onukRU C6HchZWTIcB0romFVjXlvzINkDMmUERtooTpVPLCZHz7D6V/sk0phxz6wVafQ9SI6bVkKgAF4y6G qViWlGapL9ShXzKlulupw38lMBd4Wt+lnFpq/sOF9XSGAsEKF0IECc1obheLEKRTEcXSoNiigq6s yBOEebvc0jvRVJCn9Ikg9qIZlhbVrMtbUZoQD/UFi/o/lD+YPumLzO0UhZ9I0aqBIn9YVCgVYYiR WcYQY4i+QuKKqpHUkGJQKnClaKDZt2Yl0W4ovcH6hFZ/LMCnwULlh8ovRuoVlAhjVAxKrKN8IylK v8NasVlJsrpjPdhIm6NQWuMwlViMWV7Rj2SKhRAmCwiyJYbzCjSWEnfjFADXukUNPFs6zRMTdaw0 CkyaSZwwwjKy03ALYUtvZFwcVgWCRiQpWWybxWq2xdFEXmDWz5JQGGbtidLVBDAW+eU+iayCyLIa zglagvtohyoirKwAJAKtoRoj/yjbtgyvbCMGDO2DH2B0X8O3FKqtM+rrZUlPY9cBGX1k1l8Xsszc yASuXsE0Qf3U4mr+jJqT7BmMdMhYDwBBcArJ9GUcMuGVpKqX4H10OS6VYvRTw6DxhWi+YJeewEBU sOZE+FL+ZmOK6T1npImzKUI6Kc5LvGNqnAsnf2IgNTwoSsBVFQxv30lWV9lMkciDDw8iyqSMPZAA 5DxV1qXOausASWRZDIOEAQKCpCxf8/gVxr2cQfI8OTICF6Zl4oYE5GJBIMqVx0aLK4WtwEgApXLZ OZrx+BOtrX31l5nPP3vnnbeWymWFYGM1ALV2jDTtlG9MO+W08Oab46ecRES33HQdGGCz0F4IagLt oW2czyC6qdO+fvedt5EGA0IC2GGHnV/756t333XHYYd/9ZvfOuvJp/7StbpLZWPt0P6hGpKSGycq aqkaR6NjaCFU5W76jEVPIgJch5ue+uurx1x54A/eK0dKEj4hAklCYEK26j1KTXKPQliPRTP5tiSu QIDlRW1fDgw0N2StzaXOrp5/37Z/d8Vv9fW/VKoEADuP7f/a7C+236Tf3eftvPm0PwPgJ/0Oblvy HlQ9ZLIIExj1EKbaeS5nS5MHH0p0uPf854ho2917zn/uVZ/R7od1zXysTzXPoVpt2X6X6X8Z/cTk rrEbZX8879GXNztgVsvY+MiRbvdkHZh5BArYhh2z3hzLwt4nO5rj7i4VOVB8vo8iVsmb5dgR4kNQ iVxVZYpZEEYruJcOWrj/v7iq1P7tK48e84uLv/3+5uff9PVRPz7pjEUTL7j51FE/PumsZeNlcHU7 lUXhYsqrvv3bP5280W0Xnr9gY8YFdXt50kJL0QBELSPPPe/Q4zdpXvHytUde9eny5gFizz7GLc5m JWhEYjQWxPJRTCfFbOOaQAQ0glihJkDkI4gZGkPFlm3CmZXEYcNGTtxzv+EjRk7cY6+5c+d+a/rU 5Z2dt939qw2GDN9w9KZLly4MVcVKTw8honMEmHuPiJVq84Apl5yyUSjErP3ig1de+uOf316BPeuW vvrIPbPmd1FTXwpw79BJ7Olu33rb7F+zvihJkqELJiRVJELnMAOXOT7WicjnngAy58oNpWruq7kn ogy5NJeVnPcefCj5cYnGmVO0CaBSbRk+7QfTx6hprX7juosfXbr0lUfumTV/tW8OJ4qEs5XBZQ7R +bAWRATeh/pYTi1DT7xs+kZrZt1+ycMfc5Uy961Dj7l4+ubV2Tef+9DnLSg15CxDPu0EiLzsWWWb IpdhVgqnCVNDuZQ534O+WuFDBREReSslYgbggJBfYxgYQodEOVGOMoT3Pg9nXgtg6UpxLAXUmL5Y moZWBBsKUzhMERUUKQquk+c5EY0cMWLy1772zDN/X7J4iVmWASDw5JcsWRJf46ZYT+AbRk04/Rv7 tCWg7pY+dN3Nr3yRlchTOAMbQoKC+rAicpKhmZIFeI5vmHcveeXRe977cDX16ZfJ6c/BgUnfYcHv e0xeN+sQnHMIfI42AhI6OfhC40bMD6QuGqqncpgS84S+e8lrM+6fs6CrUl7yz8fun72gy7c1d/cd ty3+a/aqsvdEQA6BD74APupGz5PLsblt7MQJO2y2YVsG6Fy1c8k7z7388rufVJ2CROacDMoppRbi Gaw1XSQtd0hZgggBXMaHWQc8r6xb/NqM++csWO379gcOjZwQhWUClHUIHw6wjlkgaoYmVqb7DqJQ NF1jMI05CxjTjDYKrHVZfwDUL0ASS2bHE/BpcWZpBREhnEUttV/0BA749acy0UVwLpwahBT2OhN4 0IM8hEPjEImU+cGPaEsEqg6QKgZRzLXDLIrIMI0x8WR5K6ZFf+Tv2VxV9mE5wH4R6bXZYqRYQrfu akzSq14zVEwbcexPyEsKWsWgbmJfXGHgJoWiR6xgahcUFZC0VJli/JjyYWEC03s1uqbdFYgrXMkW r2jaRZrsl70kNkZTMY2r92v8Ti0GrIojJoGAZcKBgn/9DWrWecEgfi+UF6qWzmZ5nKIUFjQSsdaO VicrjENQr+KzbzyI1lWn4kZWVWY0Sj9iwQqh8BGwQGwcNhYPjX6KDEuk4eYS5YsVc1Rjj/PjIiVx pFhllrocAYXXYsTb0jmYpbvQczxorL5pQ2rdUa/CRbqEYXw26Saxs2CLXCzwScQIrTTBiYqCKLSC g+i/KTDVY5kIEmrZUTAiNxr5xoJ0DAuidZC9FTweInrZ2lmH/RqCC5CfZBn21oJrI6oUSDIgsem6 e8YTicV5e9RnAccMpkrty8CFmBs6KgC6dKAi7x1s+HvSO1im6heI4ShoDscYbZm50XKHfmWlVqvh whVtEbQ2m0qNhWknZCmHxqKKC2WpQKNLYVRG2mNyTy/AF3+VOb+xTCtZ/VsNjJB00i+/KODUEKxC kfkGYk2sTuhOBF/7KyUaUJuglPuiTEGIj7uNakik9HPaa0GpbOmmvlznSv3M8Gf+o6gl4bXAsP4E ECWYtEiFgcqwmrfZKZxGK1SNxO7I1HyNg9SxIknDrO2kypGKI9cTFAPtIqoxcgKgsAvNOUR5BNbg qGC9rs9JnUqFyGaG4ZlVlinP2OL2Zy3oIkm6LzkRyYTAEwF4mTTEMjr7gkmeRE/CYQRiIkoMU3VY GzblJl2lEEa5gs39Sck0bP20CCa2YB1IOtAPSSyJ3ksBAZ3DajXX6fadd/witYeEWGES4zFZRNOm nXrytFO1BwA47vgTiejWm6/nkVIDr7UqhAiTINg99eRTT5526l133sYhgoCIjjr62O+edd7pp538 73/964brr7v8hz866KCvPPzQA1HW6jVkutafEb0bsPkh008+Yo9xA8uVpf/84y0//eVra/JJ1z9+ ziaWJPfmxced//LKLEPEbj/skFvvOPjhw85+uju3ak3iL0iFSn+OXomYudFf/tal39lrzunH/WjW usx537zxpb+7fkKJ710546yvXTUbmtTmiZrqNgDsM3jPE049dv8dhvcprX3hR1O+/1reHLgsOTnd rLN5K33r4B3n7HTAjhvsdc4zQzuaG8pu7PC+7yxYiQibjez74dKu687YbsaLixZ9vhYAerL+K1q2 7tf1uicKr6QIlHiCsNe5kuey7c8La37Y6sWhkrXlDvk7r3sAyHN/9GWTrpmzsOX2d1ra+x9w74F/ O+GpKY9ObZxyz6JNhq6CZvbYwGvDsO/+z9QTB6YWMe+uL5/33pLmjlD5RbVcAxz87K/Ws32cCCEB tg8/oPSvJ5cNkndqSFYV7tGdwRpY0yUeG2OBIO/BSZecd93Wa/543tnfX8JlQvLNe3z39OvH09Pf Ov68zp0N9b3FOR4iX7Xggatv7PvuImodiwCYNYL38kcV+CEPtiD7HE/eA3tfcv51W2uHKx/6xhk/ WDr6gatv6PvuEho4Kg6UTrWsG3dsO/Fr5cf2n3DPPHCtw3bMfDWW4o31mdJz7I0BKWhEw4yx8/BZ Yo/0KRoz6U9BMp74nH6PiFhyQNC3rd9uEycNH75h7v2qVaueePwx7/2EvScBwB9+/3ipVN59rwPz PAegarX68AO/cJkrZVmeg/eEAD73CNVVf73iB48toraNdjnuu8cet+qTW5/3Tbhm4eyVDa3oIWzY DIu0BEDQOnDSwTu/9/rsLyBHjLAsW3UcAPHuRCRA3iYdQldOWcm5zDny6MghZBm6DEtZCTOsVip5 fA1BElfFKgmhuvKvP7788cU5ACBlzg0a6LsWvL+isY9O1LJyFl6VS0Te50FJOVDItVyGiNXuz2Gj 3UY3P7xwDSAArCuP3WvDFZ92N4XwimGRFiFzDlB2fcSJZNA3x+Kgd+cA0REh5TmfcBCCqUN04DJT VgMOxyy0hE3yOfkcwVug1P8SaSqUmI01XVIbZXOV4peJqxI5k/QoSf6IKM/zO++6q2/fvttvv/29 9977xuuvQ3g/CQBQ2GtMHM9ioY0AACsLfnfJ6Y87zIYdfvE5Y5+94uczOz2Rb2tvzUDW0iUgI6Ae 4psE7VBPKWYD1FTOu+fP8Q19y5YzQiLKvfc+Z+9ACJvuRUiSUDKyAfCr2TVgR2EQgH17aExp+SMi YkszrlmysKtPR3NGaxfPX93SL6M+HbsfuOOsf87uzDz4iC36vISs51Zw8KZf+dpunX965M77537R A4jQMGTzfY455oRhT9/z13mVklWKkYDZeQ9a9ydd+xEZEpjSaEgSCQjBNTdR15L5q1ras+AKvFfB wI2klCSvpQbd/pwkCwBE4ZUHYptsk/wUqPJek7gbKWoRORoiWYMkAN4lAfyGVMmDUfL18FFSW00R w94Lkjd+8oN9RJDn+kJTryVizRnNzgdiW0ZECGe8ZIhILrIWavxaiTZJZJ35gIlRpOFCfE7jQMTS qD2g8KpDCHvfUNkX5466Q32ndlzxLEz9Cpfs/CFxXRuj5AYBm7rhGuNwwqbeYPCJY7Xm1xw/5WMd iSFTR8JEEqmLbBQ/R/PT4FSjlwTuer0EtNO857/ppKaAJognLCdCjYZfnyJN2kDmZyDhQFwBMYlR NWQltS1Skwy+YdSV2GlNJ4BkFzXselHCPCs3jeK9UFZPgnEMKnwvr+EzOVPdfuoZLIGltg7h9ZoL ObweI1kdJmYcWgUQqukUC38mcTf8r4YZMu15QS38GRbQIljaxYRinRATlsVYzBbTqGTzfSwsFumi xMJs72i+SVlNtmBg2KkTIo2s8RY87L+4eocA0xfvhFAmIvsmpFON4AvdUkFnCIDhwDeinLzZRlq0 BrDhLvQV1xeFHC1DxIzDgqNsTZOV2FoV28oSS5hbJOCrzQ0e2XU9ARGA8NilHhUAMUqJWLXnuGFZ bb6eT2ECfMWfEZCPgw6WR3E3UTH/5ThnHlDFQlf6QxSPgm2RrNgpJSITTagfkOk5lWR8gtV8F+GY yRW3Agtb6zF4RoQaLKi9EfUTanIL+jCW/ZHrvFIQ4Kb89IwEFWD8MklOYcRYNYuLgcYzoobrR0aq /dQ7CKvwqNgR1vwhCiLzpfVewR+ImKsBLMFNFWK8obfLRAe9Wd0Jkx9AyRCENdqtXT5EWYNTtqTU yA/YggIJJjUdGZrdyEqtuMynajSE6r5hopQDyQYgzOMdAZHP2W+Mq+p0WL6SeTCqD/KRiYAMagQA PN2O2SQrLOR/AgvEM/pQetakngjIJdTWMYBUl7rWJOxRBJY4B7DpsTVB9QGJX+aKgtLGIPgYjWx9 VqVjxH6898A7xT0A3HXn7TfeeM2TTz3/wgvPhp/k1a02CmE8WJVg6rSvTz05qT6H69jjTiCiW2+5 3piByEEBIUFUBDUOgpOmff2kk6d73nBLQDByxIYLFy548YUXzvzWWSdOnX7uWd/661//dMGFF+89 ad9HHnrASADBIj3oigMzvyIfOHbowgfP+tLTH8JGR/7slovOnXPSxY88csKej0myWhr6lRt/c/Qz 766kqB2nfqDhrN6KGkJRbYhI2DJw/3OunDpw1pzlVXkoNMc+GwzI51x52PQ/LvcAAL6p3NDULIGC KDSYfeVh0/+wLJRCmhoaGptKzXtfeu3UL26/+Ojz3lpWAWxtae7Th8cqMQWInU3jlILRG7QMbG/8 5qEbf/TZmo2HtQ7u3/jOAujbXGpqyIYPaN51iwHfuPZ1bbyyeVx71+u5l6NiAdb2RCbbmzFjKfPL ZAFgULVrxLientVN1LNum526AdwOu3YDwKgPYP6y1QSQV6o/fbB86VELN9t9yKS3Zj4+cN8IJgSw 9uNLDzzoBw4bNj7xyd+Mv/nwbz/wqQfvW4aNa2j0JnAaUKSYlCSQqPHVN40/9pDjX3zyqc87mHQv 7SX9IclEJLRBYpDmFwBAj+Arqz7yEw8Z0ffWnhWYAUC1PHDK5isWrGnBchP4KvzXV2NL05IPln/a ti1wkUufmPZAedHPLfJ4cFj5+Jdn7X/Th92BjaypbUzL4rnLSm1bZ5RHwWJ6e+yh1DqoT2XJvK6h 27Wiyxoa5DhvG3FsLhQDvPaG0VWlTV0AKnpH7+AUTir13hOVMgSA8bvttcmmW+yy24RRo0Y//OD9 J06bDolrxfQDAG6/9SYgj5CRz32VdxpXPa8VDRvSsS5f/vKz7x9x+qhW97eFNGavC08dfd+59y5p qrZts/chB0/crKPBdy1+6s4nmo48ccs+zZtdcmrX0ldvu/6pnq2OuPDY8m0X/X55C0Jp3Y5nX7r1 jJvufv8LGL3HaYeXHn+m4ctH7drxzoNX/fqDtp12O+jLE8a0l1Z98OZf731m3pp10DFsz8mH7jS6 LaN1i19+8t7fvl1tAI8QTI9QElIAG7TJDxnQXs3AOSyVs9WV4ZMumj76t+feswwBIHPYUMrWtYzb YZ8DdhvdVlr1wVt/ue/Z+d0VxBzDQisg+BVvv+F2nbRR+Y53K41IWXnzXTf48PlZI/fvQETnvG/p N+Gow8aPGdK3AVbNe+tP9zw5t3tNdejeZx7X/6V/N247bnB7e/Oqf73w6Iw312Ilb2wbP/mQHTYO jf/9h988OWcdQRnHHjp5/806mvr0bUIAWPfaz+9+duXq1i3HH3DghI3aSqs+eOfpB15Y1N3ZM2z8 iYc1/OGZ8kFH79L/7Qd+9usFrkVjJ1uRAzRJfBCHBv8Q5aPhGCuT/T7gnAsCVM9WsNZ5tYhZTmEg Wrt2bUtLy1VXXfXBB3Obm5pjGJcyZbgBIhy4gPnDhw7IMOtsbCSgpubGYU2tnnylz7iJX/nSxDHt 2coPXn/i3mfm9ayqDt37jMOzGc82fuWoXTvevvvHz4z61vF9/v5a4/jtR/Zvb/hs5hNPd264z8RN O9r75h++9NA9M5fQGj9sv4tOH3Xvub/6ZOykM47tePnNhm3HDW5ra1797+ce+v1rKymnpoETjz48 6u63f5sfy7XiGIpmTtfSESB3HUP3POzQHUe2ZdS9+JW/PTTj1bVbHPydrzbf/f0/d/VHyFZvdfol Wz72i/sWLoNhu337hI0fvPDXn42b+N0TN7r/R3/Y4piTtuzTvNn3pnct/eft1z8DQ4AIRxx44BGT thxQrix5eeaMP7+5OgNqLI0/cq9P77z+T91jDz/nkk1bvC+35G/f8/Obbi1///SdX777xTXGics0 7oRv7/XpQ1f96qOGfrjB7gcevt8Og93aRW+8+IlgDUK1dcuJhxw8cUxbadUHb/zhvqfmro024Ev5 uBPP2POTR35+z+zylnt9+9wxD1zw8PJ+eceuBxy2zw6D3brF//7HJ4wua/yI3adP3uLln931Kj8W hwDm4HIXtuozqCR76SQnrpl8IDo1GYK40RUl9w9F3jT/l7wzLLlx+qkKJELwhECE5IEA5TWmoabN J20jOZdlmGUuC9sxcsoJfZ57DGtqZCZjkhzHFAyIHxYM1QZ0COjJewBPfLg5UajGaWCViVzgG50X puU8mCgcdRsEKcVwANFnrIk05OmN4nEIhKFPwfi4AqFXzMbCgDWbR3kXHZmmpA9AqXUpzSYNpTSL szKEeEOavqZTspQUTL4StbBGouBqsn34D18IS3X2zaLOFUxMB7CBOukOzT+aPKBtJrmu2JLYcfHu VG6yIQdMn/Y2nQ3rFEC4wbgIL9NoIRzjdt9YIBMLMDYRV6C0qqvPY8qXEn5BKJRamO5QULEYojVb Mt4Rx02MBQjITBSsk6TPozJRZmmDpLdor9FEpVN9rs2UO9d3yV7M2K3YHtk4qw/LGTWKwRb0rEoE UKHa3Dmk2cJMLYHyDiUfqCvYpeHfSlXGMNvVSbNSiIoBKD6KrKMmtlLTv/0hemfiElGC2sQ8rGj6 T9RMGqEhvV24qDN+aiexKFvQAaVt4o8CMgH/DQLJGAQQzoFDkAfknJnciv0qT0kByNi05nFxJ5na Rmyv4ZHCGXJxJ5vhhzs1kVjW8ikds2gTMUwVvdLUuVMBU7T89BlxSzpBSAQolnSBoUsVAhr7DMex 3iK3IkTXEjIEq2QJNzKJSiCChfoIikFQJJupyfBPCfQAF6PiElgUeyzkGlUgyM4cCJmMrgtq9Eyq 7vV8qO6l0Kw3YAyoyhmCkWydyxYdMW4llmpzcj5BoV6j89uijxnpFQbWxUl9YCJlCECzrhho6hIv +0TS36MAajEj+bfwTYolGr+FHO2UVDL1Oi9QyFaYvE0Ok1vSWH6+pQAAIABJREFUT/LBLPYW2eAv i1VMreWGTNLWy+MWphikgn8Q3yixhcAiEgoYyNPxJGVi9gKvk0ezQsNuCQjOudwTyTZnxjSKutHH /uKGCU7Q0WXoELwPsgjvQrcnJhJJWRUBAR2F/SIEYT8ZIIZXKIWX+QRpalIElIvLJzCDqUcXdAJx bZX0R63fSIEXuSiOiXpJNmHHM0cklsZN6LJ/JKqcjD9L7T/ciSTPtKJ2wgXou++647prrzr8iK/2 79+fVyU09bDrTAj86iEgQrrxhuuu/PGVADB7zofK89hNNgKAPq0tbW2tr/7zLf1+5x22snKjJKHx wSY80LRpX5968nRSFyY44MCDzzr7gmMmHz5//ryZM5/fffc9Bgwc+Plnn/3zn6/uvPP4UrlcrVQo Qq0BaokOoS8C6pu/++ufvNLe1jqwo/Th3/4498zpG7bmgzv6glhk9/Bjpox6/c4nP4FSK8UoyleX 2/ai+7/vzj/02gWNBOXGw26/f4/bTzr7uXWZDphkIQRQ6VmzdM7TV5307KeT799llDZrHdpnzeIl q9vaWnWHUk956zPu/Nn2vz/xuw9+1gN9h/ZZs2Txqra2VjWuarbJ0Sdt9NpPzv3LfN9vYAci8mPd AERU0me0u8rDleI35nZO2HLg1ANGd3ZVAODKk7d+edbyV95f/pPfzho7svVnD8x6d+FKbbyuPDJz waYoJ/IeyuWy/uop55Ofw8GxQABUraxrbXXge1oGdnevKnWv7jfooMP+ctn9S3/6SqlSrVR9dc26 eb6ju3vB2MM2//CZmTCwuFjRMXZXAOhuaiSgrM/AfptsBACu3ybf/PoBx+wwqHndJy8/8fAVj322 2Lu8gtsccuj3D95s44FNftn7D932m2vfaqi4tn0mf+WCgzcZXKbOuc/+5LJHlx7xnf+ze3vr+Bv/ 3PnxPedc9qvq1q59zDdPP+j4bTvcsln3/+K3N75VWtXdcv71R3Vd+/uhZ3z9iGH/Ou2YO15tHqVO o5Yn8QjBVT96ZmbrEV/e0f3y734gQDZgu503fPPPr2x+RCvlADkAuH5jvjl9/2O2DzQ/csXjny3O s7UN4x6+ap8NHIBrHthvzX1fP/3HX+x8wZ0/HnXFcWd8PCHIFfl5eZ9X/DaHfOX7BwmDv7jn2rcb qgqS5ACAqNpv0127BYp6uhsvuOvK0NsF1x+1OnJ0+2tDJn3zG8r1fde+1rDFwZMuP7SjufHcJ25d +OB537uj+fBvnnqAEPzwFY99umD1msZND33ysqarvnXfn9d19N3usD+c1nne5B+91H8XdNHG/x++ wrmsEgw80eDBQybsvsfAQYNOmz5lv/0PJu+POvxL1epazAAIfE6VCkEPNTS3/O6PfwECIvS5JyBf 9WFbnRxHCw3lBt82Yrd9Nyt//OgnVcASOMRSKcsah2835ZgdP7z7f85+Y3nDoCGlZYtX3v7HsZfu MfNHP312RalcKrUSAKAL5x2Eg0EcOgcIUB6221fGzPjNJRcu7WpqGbnN4Udv88FNP755dr7Fieec dMKOv7j5yYYDj9j6899d/j9vrG3uN2wAftKNfcoo5QItqQhiKbgDOsgcuhKWy1nmmdRSKQMAQKzA gNFfOnzbeTf/5Kb3ezabcu7UKdveeus/1zY65zzkkCMC4IpX/7HitPGjm2bN8T3Uvs0ufeb+YX7l eBeiWjVfu2TWc4+9cMsHy3DQ/hecf/C+793w+HsAWB6w/Vaf/fTnl31cad3q1B+dsvers55YtCpf s/i9Z2fMvHnu5zhw3wsv+Mq+7143Y3Zpu2MOHbXo5kuuW9iw2YmXTa3ecuWD8/sP32LTrxyx3byb f3LznOrmx5990rHb3HXrcz0E5WG7HLzxE/d+/6LFq5sbZIVNEqEAzjGdl7QgZvHR4HQzTZp3gs30 bMLFk16TciVzhClTpvzwhz+8+uqrb7nllmf+/ne5LVghQVibDZRi3HAUlrhDzU57JRg87sgjt517 0+XXvV/dYsoFp5yw4vpbnusiKA+bcMiYGb++9MKla6A8ZnR58PgdOq+8+tIlsOFB37vk2OPfuPcn V9y7rDT66B+dc/CWb97xZqjOurCrtTxgu60++5+rf7Co0jZu+uXT9nnl3ceWrMrXLZ31/O9m3jJ3 mdvggPPPP3jv92/5y/t1/Ql0uZ7FuKp9nzO2+vR3l1/1xprmjpGDGj7rhlYAABd2sGOoR/LJS+EA 4mDzACvnPHrHH8dessfMH/3suZXlpnJjXwBs3Gh7vOW6c+7sGrjL6d+bvMer7/9x2TLc6LBtPnn6 usXNky48os8TP//hK5+17Pad7+3Q3lr64I23ur+2aevzr60IGvC4dvCB39g3f+7m+z5uaMfGUeOP PnD069dc8vjcdUMmTTt7p/JHAAAeB4876qht5958xQ2zq5sff/60KTvecPPfVwUtwdrBB5yxT/W5 m3/7Ublf5pxDcOiqOGzno/Yf/ca1lz7xYfeQvU/67o6ljyH3+dquzxbNnoUfreyploJcnHNZ5tgr OKE0U5jaTJ1zuLCSyZusOT9AJCDJdmXLjZqUmF1MDiWzlOfNE82xiZL3AEjowGmaizIRDafNIzgk 9PyWXaS4sxvFWQpckOxkDNkyAuNkyIrDIxrOpN21dV2eHjpwhT1EYS4aa9UkGarOepkzu+eFJa2/ AtcwdPrHuaKuCelUz0oXJaGlwg+SIZu0mOLXNYKXyVCN0IT52i9jxp72FG9I+DFlT0tXYb8JGsql bfIpIatuNJYUu/Cl3aodb68pK5JtIhMzk1hbS1/fVdhCSSlNlmteZdHviKe/ceJm6NUJZmQ1upst 09rnCTjSoOVR/pHXxbCFqY0YgpO9pvHL/yYV0mVmM2Kd2+qLKO0HU7rjH0Ir1uu/xnAKwKD78QDr 3yGN9MFjJQ7N1leejeobLYJoZXYKIIAJurtUxoyPDhnWDfbUGm0YnEDFWtwLXPtPemuRuRpuQ5kg OjcllsD5gDXCwEGxcxWbhZ2kQS9URvITmBVETCs1bOAc99MbOBHSjDOSHXphvyDSpT4HTp+JSdDb 2Jd92CXBb5UIqgVAKnNi6QLJGmziz0aktruiWIxNqOmb32uQScslcQDdbmz6U6xSxEO7a7JQnzXl 3cTwzHuljK64p/hDqPeLPIuitJKsw5h+1GBflBQoWIINU1TzF5qWdh1ASWIDRuRVY/NQkSVmPZdB rvoGTwCucANEQekUyT7fmFhfukXNYnTIbwuDWSp0hQDk4IFkJSUu2unNCW2GOZQOAYp5Qaoe4zx1 ZPEfrjh8shSU9mQhXrMoSLVWA6kJCkeUgOjA6S59XjLmBDisJnlrVTWUk3SVUqf/b4WJ8SlPq1zJ bhOvh7gCw0RTWH6RiAPGGdTGYyaahD/2chJDMc2FL3m+Ud0+JDCEGI4CRTHWMOVHgyfaEQmPUh32 5KEKzgVXEDAPR6Mj6bOntR6ULK7En+KKLumgpo28jS14NpMkMS+IzFuBGWwisu2jXHgLQUbg5Q1a RGBSthBqYgmYVwHorjtvv/66/9PW1vqlgw7xbElJUMCaRDuYXntba1tbK+kjywBENGzYYGbbfJ9I B63jR5E+/8KrVtXSB3R397S0tEyatN+jjz749FNP7rnnXltvs90zf3v6/VmzJkyYOHLEhvPmzYUC 7iTPgkaiS+Vs4IB+QfJtm+0+quutBz6VIi6Ax/ZtphzU9NfvvL62ARoZSFT8cXKCLkhVwTmNlKjG RgTlMnS98/R7ja0DpCkhVKGxraVjr58/uUdDqWfpW8/ee81df1u0Zs1n77/yUnV2Z06UY0NbS8de Vz+1R0Ope+lbz95zzV1/+3hZ/+3G9/vk2XHfu+HinYeXV857+hc3/fofS3mrJzk1uB4Xj/Qe0tEE AC1NpWEDmgFg13EDvvPVTe+9aJfLT9zy0N2GvTG306qmkrUiYuaglLlS5jKHJahmVC1RpQxVCidB 8/bokJ5QluelBiw1wbou17Td8IZt20vld7Ms667Quu7uriWLiXD+EizDp31gWVtu56DppeZBlEO/ 4887aq/3rtlzlwPGHHr1G9ufcs2+qxu8z7tXzHlpxiUnT954x0MP+W158hl7buE7/eDxl+y99Ptf /tKG44887IpH/j5n1t+u+tGN8yrvXXvGzl/67g0LXE5tk88+atJ7P5+4y0G7XfHhfmcff1jL5+QJ G0ZNPXPcK9+fOm7SFS+szbzPyefkPXkfzgsIL04LXwIgffLsw59udszm3eh9tdJ04Jfbnn/o3Z7M ERHlee7bjj/nyL3eVZqnXTNpVYPPu2ffd/CXjt3poGlH3DZn5fy/PrzQUU4IgFkT6fmr8ke+rnPO P4TB+8uTT99ji/wLQ5XsmfM5+Rx8Ht4lhgCYNZL3YDh6fu2QyWdZrqcc0fTBMzdcftbjy9e8cMXu B3zzZx8OO/68owzBp1yzb1efpj4r33joopfGnjtlcHvDiIu/MfKZH9/yYtO4cFza/0sXV1wooBP4 3D//7FMvvTizpaVPY1OZAPLcV/M12++4xZbbjN18yzGbbr7hppuOHDZ6xNq1aykcZOspz31e9T43 75yFrO8Bl33roh+ed/pXx69+4rY7XljTUOa38Dlc23fr3QYuevJPr/uWPv3La7uxz4COvgEZhw7q 36+9VWZNhZpEePqBOp+f8f7qvP+A1krHDhOHLH7+2Tl9h/SjRS+93jVqiyHl6qrFnQ0b77TzJuOG N7lVy7Bvn1LJlRqyUjlDx2FVgoRCRqntwMvOvuTKcy/+8dnfPGqkX5dlDgDkSXsAoM7yFhM2WPTi zLl9h/TPF7z0eteocUMyBAKnQQPRf/6vF5dtsPu4NqDu9u0nNP175sKKrKG6poaMPn5/JfYZNrRt +az3OpsGNVR6CAAhX/z8K5W29iGDGj6atcx1bNBQyRvKDha/t7LUMnxk3+Wz3u1sHNxY6ak0DduA Fi9ciSOHtyx8v7NhxIjNRg7sat5ywpBF/3hhXv8RA2DRK693jdpsUIYEiLRq5ox53Th4g/bm1iY7 qwxRW/MYm7DEsC4pCMkGB5N2kM0KQUUa05+YIco/HO2I6I477hg2bFhXV1e1Ws3z3MuVmGSkjfsI 7240BWgEwK4+W04csuj5Zz9oHti/Mu8fr3eN2mo489753IzZq2HAgP6NLY0I+ZIX/0n9Owa198xZ 1EPzZ87Pm4cMblk6a6lvG9pIVRtfEfKlz7/q2zuGDmpcOGuZ6xjS5KmlsQSLZq90bcOGtS+b9X5n 06DGSneMoWCsCgqxG7tXLu5sGLPTThuPG95WWr0a+/YzCZ2Ja7oJUS7nsgH9+wZRDhs6cED/NiBA 8EueeeqLxvahg+idf32KHRuUq9Xutk1GrPr3EuoYPLZ9+StvNwwa2HfAkOZ8dRVc5iAPr8pEAKqu 6TvhyKM2WnDPra92NTU0NqxtGbdd24LnXpjfZ3BH06o3nnqnJwcAhLV9tpo4ZNHzz85tGdivOv+l 17tGbTW87ACAquv6Tjz66DEf/vrWl1c2ZCVHcuD1mpbNQ1d9NxjQZ81bf3u3kgN5yptKy1978M4n 5lTDQwgOMHOhBJ1lmDnMuAIvCwxOKvJSn+ZCsDaQo5OdNdui4KM5FrPYuBOBczlO50IclCk6g360 SauY8NImCq9j0EaaG1pzYMLk9mTm6MnnlOc+50feQlJJDsPbEE1NNnoUhbWJ8PJJGSLs6gjzNiIm yMw6w5N2RN6KyMyXwjSRcSr8Jh8QEe07qopFGbFd6PVCvU/18b++KEmBzQTZfldDgwGh4nTP9ExF s6lDIib/xVpXLVArKT5ouFlPxVhKvZQysR6R1qWx8CtRslMsWXa1VoCg81AlR7kTCaL5oIhVA3cU ORZzQVmi4L2dqF9ZYmtqYHaPvAoxSVPjsL3ISd1RJpzK//oVl0wuzf/3OlwEjfSjxQGyndUdtDdi 4qXWp1+4cCKUQ8cIqQtmGJvX9KBYZ5aWbKOa1eca50FQ/a7nqvc7FTokNNZgfsSkZkesyMTSAEDW K8Idkbciu2Q+U0ElGihqdFMHKXXCKSvjtoUtjtme9HMqMl415IghiQ+vvBvtFd2FzP8iSXWuBOVQ j9qKST+ARgkNhanE0q7+A+oViIxqFsez8lJnpETv0VsBpBC1HkiMIMG9ktq06AKxKMBeWUird0W5 6qdau0ietJK+NF4LItT1h1qqEtPRWKOMkLWZKK3auMXfxFy594gRF5atYQURWAiMqUJvgZKkkdCb StFkGMW7UpytCQeJRCChCQTxIIoQi/+vBX2tvwkv0TzStCCxYRPGeTd60jzUOSNNmP4g31jDNE6B 8Zu6fqci02KYfm1icTQMjD9QVIneaASs8G9lpGMn1oQJyyR3mXqyGHnizio6E2/E5S2iS9oK4OXA DYup7ENKEaJGOnUPQCBAj8ivozd2IuPVSlbGljpP7n2YkprJgDk9BxSTbUHSygUTudYEYhPBJA5L HTiqKv6pMoophRGIpvkmgQrTpCxzTo3GrBuRkaT3ngB++cs7r7/+521trQR08tQpm2y84do1a7hw HM3YBE+SJVeMVy6XqUQDAHhzpfwbpAz8UdJYCgIABK++8rL3fsNRowFg8aKPvPcDBwxChGXLPvfe 921rM12l+o2rZAZcEQAgb931tHN2nHvTjW9Xytq8p2O/U3Za/NCDs3xjA2Cy+ZmSXhMWIqBYtzfe 09LSzLsYpZ+s8vY1R+677z4TJkzc76Qb548769pvbpU1ucVPXHn+zf9Y5Z3jBpMm7LbbvlNv/HDL s689c6uSax3Wr3GT3Uq/u+Cr+33puKve3vmSCw7oVxIZllwxJ4Hmxmy/HTaAeleW4U5jOx6+dLcr 7n3vsl+9E8UmfWQZAtGqddFeWxvRc6nUQ2UN+QrklbxSBWrImvHVp75wL3qCPs59eua47zW/9TaS h+q6Nd04vPGtpoZ16/4ve+8ZaFlRJQqvVbXPOffcnDp3EySDGGBGHXUQM4gZRcEWxYBjBnQG0xjR 0SfGNwIGFBHBwBgBRSSoIKijEpQcG7rpcO/t2zffc3bV+n5UrVWr9jnNzPvee7+eW+l7ztl7V61a tXKtWtXchg5oYaIrPGBbAI6WdxFN+JFHH7v+vn8//w+tlfv1tSe/+rW7X/e2x6//4VV3Q3Pq5vvm +lcMr2ve+5sbtr7x0MG5TYsP3rW9efQLnnXQvdcvbd68y47uMQCjCAC+NbJ+PwdQ1ta8fO9NX3vn 71sr95v70+U/23XmMXvt+PaWITS06aKzf7qlXhvdAICwsGN36pHadSQw7ft+evHmk1+03/jv7tw8 8sxje6/75xunT0SCco4WdviRQ7rCvDS2GgD80OGffsvwd9/yjbtxPS3PABCUs50fClicuvneOMBf 37D1DYcOzm4iu1rAAKpteN05157oAIB2/eZNrz77ejgQgKCco+VZPaJy5NDKqF9w4PLF0/sAEYAb WrO3XfGPXQFe7Glc8cnPHvOdd539ARy97t9edMMijrR3O2v/Jy7sGYlmRrRuYMf2rffdc/fNN974 uje8/c7bbwcAU8BSe3m59KVzbnmpXG4vL4dQcjj4DV1J4HyIKgEacEBQzl5xxscv3eosFgUODPQW AI4Pi/GN4V4/vQS1whpEYwu7XIqsQOCYFgF4TwYryrA9P73U6O0BAGqO9dk9X/jez4ciLKbwO3ts /9yVZ58z+7xj3njSc2fv/fV//OqWrTMlOOd9aRYPfcsHXrqhBlDee8GXzv3jnK1BFBvl3K+/+IUr t3sDRO2eAqmeqQoAKGujfXbPo9/9mWdzX1PNIpxhJmyL6JZu/+2DzzvyoIFb5x5/WOPGs6bqYxHP gGT71jz5+c94/IYhLMtibNRu9tEkcUuLvlZrGGOXwxoUEWDv6ie96OmP3XMIyrIYGy02eyI3fd8W OuaAtc2ts4N7HjTcfnjLrtK1+0f67J5HvfvTz0pIKMgTQHthZrnZP+C8R6Sy7SUmgclCQEY5L9Vn G2oj6ABibWQyONOZ/L2SocH6CiDoPKJTTjnlta997Te/+c2pqclmT1N0r/dRq7K6ilX1g5VoODgJ 7GMjgG+M9tk9X/i+zzyPgABsze9oFkAE0J6fXq73DIRsUwK3vERFYcGB9661tFzUC49okMgYPlg7 DpPQLS46MEB86qAhNHZw7ZNfcOTj1g9h2xXjo/Yhn9Q6DxzMzP6ved8L19QA3P0XfvXCWxdqPYDY P/frs86efd4xrz/pqNl7f/XjX90ytdhilLLdt1unJ6k7rj0FbnGuNLYnWoXGkPPeNGrt+RLLmYly 8FGre3e04MBHr6hP9Nra8CEH99x97iwWCEg4cPBxL7aw6cp519vXD4CuPth0M4tYQ4DeZm1uat4P AgK4xkhELAAQmJqfaBYGkHDgkONeYmHTL+ba9Z4BthqBAMpabIqAepq1ucl5PwDee7RmaKg/JAgb QGusNVbiy1C9UOVeQqREDCTGtl98kIAMOwPsSOuDjmVaouGrarFxFDU5PGJGEBCFcz2JELzRSRDA eZ0+5E6ECDI5l3Zcxq1/SBkXiKUerWG2AonAU4r2aqtGLb4DAJBXh5CoGyjDQCAiZCsfVfmMaPyz gBfMAJvWyQONfYuDhwAEJhwYFVpCQRq/woDk4RWWChoPyXhOjeg1Jv2y6kW9Kv6WfMvCUl1cSd2A SCsdLOois3QX6guJ3ElD1Pd171VzprMDYGdGfcvaUa+w1Cb9reLVdBk0z5l2JdRjqP9LCxCR7uSs ssSKyeMiVRYWE+WqQEDCFKb0ulBfgJ0YcaIiqe4mRKOt+US+MqoOKol3CKq3uzefcMHAE/DWipDJ XSXjKnypIcorZyhYO0DM7qNmfg2YDBcFFnaGMEVvJQxByOhKDMtjiu3poIGCQ5JFSWX2xSlWGVCC 4Cq8nU8plkutdSAyN7N050LtxOEPqrycFY9AiQxxM7tl0G7dK3ix+nvsq8KrSeuAtljlJgLE8gwK 04pc4nCIiHPXicLxtoqy48xh3jNjUvKjq4q0m2JVHBcAoq4UrSHk/vKygqgouks3XDtU36SIQPVV UaHIsU6nH/MHhEqlQoguE0Ox+wBwxZhKykU2E1DCJOTQpee6jrH6Y/aYNMack+oSUOf7HYyVkJKl qjKCGCedsrKLdMvBxN08w69HdHQbLiKQr8BDEDHUxS1InWW/UQ5BQr7+nt6SZYoq+WekK5hkXoHU qhImSUpWRIMwlMbp7kRxNwSK1tCvJHWZAU/Z7GHadRZXgoGUlk3dSoSVAIgtND1XyOes89cooBQx 8vSqqcIqFpFB10NRAGlpzW4TmwugBaJobZbZfEh72PYX2ZrSmjtRqM7HIBGpKUNuKLyVqR+SbTER 8SE0agBc6AE8xRwqRjs3nBoM6cLOk0FPHFY14Vd5R9nOPHFKBcka6e6XmpIQEJplbKPImyjdSDcj gjG9n+o5EeMjDitkAAY8hTLPPFeUnQ0VFMF53/jq4GBM+BsfHznssL+bm5sj6bCDmQLXgyIJ5C3L aqRxCNUM6BC4RzVdMdqAuS7ProWFOSIaGhpGgHa7TUSNRgMAlpYWiajZbGZQYqZuKzIFAQyi6z3s FR879ZBfnPruq6ex2eRu+/Z66XF73Pipq6cKqAea6DAOskufRJLdTPZqN6mIgD2NeqMOxoz1A2y/ 9mtn3/L89zxlXd8tm8xgf3isUa/XvDc9w02Abb/56tk3v+A9T1lbvxzNwm/PvfAP7f6hQXfHDy7b 9vKn7t9/2R92AgJhETMlEet+dtmOAMDBew4O9dVg9xcinvKS/c644Na2IwCo0RwgenEKDdZqhTxM UJro2XqmdjI1216GWh/sc+D47MPTOxcXy+XxL/7lY0Mv3uem9l5fuucx5cLSY/ZcNIv3zdy05LHR lTUAlEFBBM2RQTc9Sf0IaGuN1vTO1tC6gfYC1EYPe/k/vfU5+680y2Vt9fraA0je7Lj8+DfufPc7 3/+zt83+8vyvf/Kyie3LpNvEvvHR2n4f/dElHyAAwFoP3dGHhgiotePhpaJvpXq4GD7yLT9/1wE9 AAs3fubFp9+0vT6QYEN6+FeX3fXWFx7Z/7Hrnvnk4hcfuNusilP/CDAXPR6Gjn7ry9b85D1vfaDf DDWgzLzy7AM0OweYYQbaW79z+nFf39QCoHJhseyFPt1IGpHpW9E5avvfQDIWPU18+OxLFi57LZz9 3usXhg7sOGT9//RFPkpsCUMj/v73v9ljr0e9/JXH33XnHQAEnpYWl9qe2mXpWsutpdbCgtTdRmOM oxKNMfGQTJK11HXrRttcctR7MMKQS9OLdu+hHgPLAOTJxw0EAZKoKwhNPCkLG0NNC7IsCuAJCNAg zU8tlnf+5MOf+cM8yi7f9etHzdx/Xva163+25siNJ7/hOTs+9oOHTVmS9+X0bz7/0T8WBsC15wpT r9lowyIALc00rPMFFrW6LUy75SGwGZu15ezkYnnnTz/yud/NEsVyfbhu3ZgxBgDIRb0w6O/6zUMv fMGhBzUe07rpvAnTWAUhk7ows+PHvO3onl9+5pNXb27BhuM+dNp6YBWbxUABAGBu7AVveU7/lZ/9 t6u2tGD9cR86ZQMANMu/fu+Hf//eN/7r3hMzC5svP/+S+8uhITc/sVjeedkZX/jdbNTERDS6ZjVA 5B2DSNZbT4gmOkrclyjyuEU8s5K1/iN5jYB3jyozDrUzluxHieuFFWgK4bnZmZkzz/x0vV5v1But duvKK6+SUT/jGU+XRWFtnkoCrEpXQED081OL5Z0//uDnb5ihcJQmAgyvWAWUqpAB22JoEDyKHjKc ZpUzGAYCk6I0QaXPrTj6zUfVr/zMp67a3MI9XvHBU9dkeIyIczPXfvETf64ZANee7Wn0N+qIiAP9 PfXZmy75yvWXrTnixDe/9llbP37+Q0SEFjwiIBaNoZ5VJb4JAAAgAElEQVRQWEvpzfhPZAdxRsIM yKF3PD9udttC3/qR+gO3XfrdP5xw0sbXLU/85dIv/fDwY9902pM3/+rC727DoTF0iNje8t2PfGfV Kae+8hk7vvOfW6nA5dlFu7q/FjZ42sZAM0SLGLGf+90sSCRzeMUqxPaDF33ou2tOOe2EZ27+5nXb qEgScnnXol3bX4uWTn2gxwAEK4QoHi1o4jqCZDFHE4o4ZJsy+AJWVUF8cRQylGe0yta8qRjRbKgR yM42RUbyLbYetkUzK3kIha+IiMggEpJHwiCEyIcSGgE2HRkWSONeOwRUBT2iVZiCcQjI3TLJs2Ih RAzncWiLSBgyiG0Kw042LlFmQpGY0gkzym6XoUuryMk7iIjkIeZ8i3HFRig7+ph5HwI5qGazHyWP gsFQawCK8Um9TOnn2FZu3eUXG6UyPsUvicIUdF1ao3xcEtTgUehX8qFGf09OXuK5zQBMXhT3hzHz gtLwdz/AHDHd7qcZRwBi6goKJyuzGBoxvJKRAKJKg5DzHcahSiJZ9h8TlQoSpb+y7sjRZ4WYLtjq GOjuZ17uZwS5GyRlt0XZiIhgoyIOGvlf3TtTSSdUCk3/hRWnKElzZ4UmdxfqiaIxRcwJQEmjDsKr 6Blh6Y62u0KaJEZQTUl4Ms457pr3qd3ovBOEJOiTtx3pVgAM//AaGGCHQNCDgc75SCFF4I46L+yK NOTIOP9KggpkCU4c9cRsJjHfaC0jYw6nNArcvReeD5ShwRQdSmTQNfBKwmkSJlF3GdExYBXFBCZM q+EkeSjMoC2RTNhnc5jpLL7LwVkeTvg9NUtM14omso4ktRXULGl8IRgKSr9T5lXYKKOnDgGvBina Utd9qYpKERmRWDtKOXXOdIXCkBKSldreDVCVZa8ubCy+Febd8FSoteCsnW6iDdW99AhmQGiVqFaH 1Fiyjvi3OK8kvxFwmfS81ZwgA5cxuXcsQMhSImiSFNkZEEgklT86MJAIqzoBipiw42eoPhkCscKD uWGSlGsaps4Pk3ZkqhTOoyEd48xSdCZ1QMBHfHAOBJvF2VqzDDrokTgfaa4DEWVKWhWzEP7l5pRM ExImgJT9G0YeymCE4DEb+53EFFrXU0AECJ48+Bh8lTfQe08x70Q6TGFepkhVGy1YzYAGTDySnRei A7DC7Qnw+FoSq2mVKImUjISyaec1AmZ9NTnpaYy3U/A2N7Z5kQtBrDA06MGE0t4+HnMGCX6IkQ36 5ZXX9vf333PPXW9+02v22GPvD37oE6f/yykyYxGE2GUURCLZWGFjHmhOce5KAFpltgTyDBH++HOX eh0AADAyMuq9n5qaBMChoSHv/fSuaQBoNpve+9nZ2TTfafJFN6VxBE4qex//io++58m//5fTvnkH 9fUJf7T6n/T6Z7evOPX6hVq9C+MG4D0RGRu2vEMxsKLfZo/wjFYkey5MUtVJRATs6+stDLTml0oi MEkYGBNFXrPZLAy15pdaU/dsN0euHeq5bQGxKIpGQWXZdh6MIaACI8dSb7k5BKA3jDe7IjQBRnT+ Lx8I0WcAaLYequjaniIcCRrlqjWICKUcQkh+sdacnytrPbhizWI5a0ZXW9Nc7qkv/3XTtkfdeN/O 5spVjYkPHnO1n3JT98/cuzwE1H2OGSAP5MvprdP28NW9AKUHwOb4aH3mll2lx31fcM4/jXzx+Ned e8dC/ZB3/vqCg4F8z8DQ8kN/eP8bLvvkAS/6yrnvef9drz/lll7ipgCgPb11eumWDzznTT+aTPPQ v2HvIG9yeFoPfPe0p/2sgWj88s7FYrWtxerMATY7/9fzb3vDm488YO9ntH9yyhZX2yPe3T3MYGHo iS9774Yr/umf73CD+4IElLt9wD27DFBB6AGgPbtjAQeXAaA2aHoK8KoRNaKuox7dcyTM+iMC7M3a fzzjpeXlV+Gr3v+iSz/414coLUL8X7nIA4FhrQ+IxuBya/Evf/njql+tsbYAAOdwcX6x7drOudZy a3nBzc62EazBaH1bY6y13ntPfHQpxJAh+kjU1mAR61qY2sxNv5962hFHHvTQVfdOmeGB5lxrcnFu yfStHqndPrtMpfW7Ns/2PuPQPXuv3rGr/9DnHdaHO4A8ebZIguyy03/87Y4jjj768e3/fHCX6asP j9d23Ptwbd0+Azsme8uJxR2Ty7bXtT0VYYbG+gCoBABb64mbdKQKB0JhrbdQq1nPUSpIOhSK6T/9 dscRRx31uMUbNk1BX3N0vLbj3l2EGJJYWMT3Npfvuu7+/hM3PnnzD86Zt9gDAbFosF00G36u3ca1 6/cdeurhw3ab1rBEFBUFABG1bG/Dz7dKXLth38EnHz5cbAfAenNsr6fssePCM75881xPT9E/MGgB 6jN/un7iiOc+9zHln7ZMm0HbP2R33MW1gSJUCFDUDEDhnfeOK0HFpXROq2KDIOBDk0j0EoA4V6cz YwuSBwGs1pOuir8GNBljGvVGaMI598QnPlF0ebPZw4BExUts1ho2rKRbA1DbdeNvdzzlecc8buHa Byd8sz48XGy/Z5tjMEhrJQREw4fJpfORswGjvEfJ9gNE0yqaDT+zXJo16/cffsrjh+1WQW1ITggv rRxuBMjrtcHC2tDCfGPlvgMTO5qN7Us7J5ftempbmnl4ru/gg9f1/mFhqueA5z62aaaqRmX4ZLE1 v2T6V4/U755b5LM9U0iHgajvuuXP5oQnrLpux8P3/eIrH7+03W72NKy963O/W6zVirGR4SKYLuTa C4sTv/rWFY9++zGH33nhn5bsrr/cPPekJx225t4/Tu8afPTzH9u0DwEC1Hb9+bc7jnjeMY9bvP6h Kd9bHx6ubb9vqwMg115Y2HbleVc8+tSX/MNt590wsxjtNLDTf7l57sn/8Pg1m26anW4ectRjeuxm QIASVhx8zLP3uu07V9xbokVjDCA6XLH3s5+2750XX7PJzo394wueuHDn5b+9txwZffLRT5n9yS// 2m5BbjyLFRwZJE4Pf6mSrdTJFIXKNCwYFpct2lW8iQExVpALtzwBxvQMIgJ0SAZ97JZ436UK4GJs TzkSIfocaVeyGOMqcuAneZIZSFvzITaf4g5q8jGe3G1CKh2ftUoEAJ58DPKr2E90SjBFfHLHNRGY ov90KCIBqMLJwWPLPCblHUgAjQRy8ZUU8QI7ZskqF7kbvqYJjpjJLTyFi9RgMqFJ/YrQ/eUIZR47 6vgotITZLzo4xe5aFtEPT4pihDwok/Wp1/rkJ/mBf8XsgdgAsmvEONY02B1j2fgTMOJ3qG+poQw3 mdWPKbqDSoiBIrXktEUfiLJJFl0hLQeCk5BwTmudI+T2UY+/4+Kp0GI/NaD9liQxlGfZ7dpdZ0yH iv/0O8DsqMmcYVCDVcPs4FcUrzUCgRHHbN+ozNG8b5lo1VRVVIJqWI8Kk2wLIhBiBDZ4+Zx2VkVG RmkMqNxGzbi6W83WIdSboE6xmc5JqAbmtDBQGKgiBkC12bE/QpFdoGB1pjqmVmTPGOXDzDrm27Iw B1VwqwAqcQk5bCr6nAnlyGuBwyjDldaxu8FEBtMjy5FsnS+DP06t1uAaVdQFjmxoxFVTA9vGGnAx 4h/fIKyqoqpyy+9jNvuRcjtey16hHPhuYrzbbxBXtRR64iaS6tEAst0/79CrKF4uq9OlUFpFQxd1 RklVVHgHFYKAaVrwEoxwJRbjk3pNQ2tbqHC5aosoD3qzAOZtmiyiEZJNoXtlXaPlXg4WVF5RAAVV 3LEq/F+oyiQeGTciBCvGRUVuxuhdtvIjQpuf6tBvLB+CNsW08I2AnMChgv4yyJCqyHOCkFBaYWYi EjWcgc/5Gh0SUtNCCnETf5eKfJi6Es2O/Ix0C8j1ir33Lm4mppgcRCCxr5ywKSVXEIVdmMjqSCUW hV2XTHrhSc850lExRrA00pHHDxDSQXlbYYheK7OC1L8S5ObJRQQI+2gZpWlLme43UXGQgbyJShno PKcs8GLqS1gDyCUlCa4oussGDaGn0LQWBEQIEOpm/Pv//MLo6NgZnzizt7c3YEoIXSEmJ42IJoAu sePYTfZ7DDagbIhDxFDDNo67Q0WGHw477O+I6K677gSAvfZ+FBE9uGkTAY2PjxPR9PR06k+64n9k goJicr2PO+6j7/vHP73/9PPvrI+OeiLv2u02ABRjz914+JZvv/5ejw3DU8HUzRgw5eTdU/0vP+LA ofvv2zn21I3PHLYPZbghqA+uHK3PbJ9alkS/jpAK4lyxzxEHLt9/15adrnfs8FeffODWaz73wFJx wLPf8YYDbvj0V2+Y3VXsc8SBy/fe8dCUa44/4cSTD9p29ecfKCdaF9/x+jf/05G3/c/rtwz9w6tf OHL7OX9dQBOwVwBgiB8NLd66sxEOfOyQguraOdf612/85ayf3CO/jLRuhSgI4hb52UWZPxpshnIH Jh5CSB7I39+3cuWdE3uTW7FHbfX+9bLlbvodtZf7AWZOphc9rvaHNz9rsn+pXJheuPPS8YnRdbsN QLNtAuT91hu+f99LT3rpo67//uxUc+9Xn7jPQ5eeuYl6oN7f6+YmlxrDj/q7Jxz39DX1HUBgBkcf N0q39/TPTW9/cMGs8vNISxPzOLbPePM6mnNt2vrbix98ySlveeam7219kPpXrR6xm269pxRVk8HT P7JyIUDS02+KWrzLu9vqPXTNRX/5xGfes+ftZ71gohcaXhrZDcwN33vwh9++9tJ3ve/W5joD4vCH tyofoNsAFYQMhi1qad2jS2seALqO+kH/3wAYR49797FjPzxl45fg3T/4/Eef/vY3Xenbj0BG//sX edYZiAhowRiw1tx5+y0HHPCYvr4+BGi3YHbXsvftVqvVapVzcy230OoZGArvI0KtbgENOPSlAwRr WVgiABKiMQBowbJoHerZevVXz28e/8o3fmDIwtwDPznzOzvn7/jZtRMnvfudT9j62y9+/PKd7roL Lz/4dae960g399Dvfv7zew46jDzLPiLwRMZDX2PnNV85t/GKl7/ineMNoOUt1/34vFvn+x/3lFc9 eUMvQjm9+Y8X/vCeZd9XIKBBqNeKoCJF6CNiUbPsuntAS0Bcfyi7Bnp2/vqrX28cd+wJ7xpvAC1t vu4H594y3SgcIK8mBg5y8OB1t7b2X339nxYadRNrMREaD/dfctl9r33hBz6Hs5v+fPnP/jL7+Cyg pntE8Pf+9NL7Xv/C930eZzf98eeX/WXmcETwvr0wbfY44eMfPwEAgLb/7pof/egmt/Pac7/eeNmx L31rRMKPvnETcgkRIo8UAq4WAAGMdw7IAKKJ5auDKUjU3UfN43tsL1Xt3xAdk9L/ErtQS/0AbHuw VeG9N2h6Go1koYStZOwiKWUeLS3U3SIO9Oz6zVfPbxx37KtPH2sALT507fe/8tetrBqTogdAQIuG jAFWg5XGhBvCy0igy03TvZdeet+JL3r/mTx3jxP8sHEA3pM1JmhSE0ifCBHm6o/+h41P2NCLUO7a /MeLfniPqzWnbvj+lQe9+p0nP9UtbP7DL375wCGPS6oeIUXr6sXyHZdfN/Gad7/tCVtv+PdP/Hx+ bQBTG8pE1Ftsv/KiG9960huPuvqy/7y72FkCmL6+NY9aM/enB2bqXrlpCDDeu/OaC6869O2veco9 X/zZ4sM/P/fS4Y3veOezcf7B31959YMH7QeA2N+Y/vVXvtF4xbEb3x2p/T++eus2E22I0Z7JK791 xWNOfd3T7vrsj7cxg9S2Xn7upSMb3/nWZ8P8Q7+/6pqHDt4PDJpl11y9z34bthoTVrcQ0cB8q7Zi 733XbPXe44xZuc++/oFLrlhsj/St32fPqYa/cYGKtPCm3EwZt6JVHX/gJE1jIiI5DIUU0/KiNa5j HRDXYdiox2B2hrYJwuEu3lPc5WhKgGBHIQEXsAaAoJ1J00UAJkjBaPhysohkVVSiz8FS9MqUD+Z2 YApLhk/z415CdBtjihGRE7pIvlKMTMR0DT3wyGgRxSixTb02ppyruJcvfRfPgPOqSMSEAiOfO/mc fIMAXbXAR4ydV5wysYsRMolFWbeQvBahEhZmnYaZCBxJkqTKQxwYoEhXUiIFoeKOE0BVkgrYKHCi arTzudzFiZ866LwyBoaHPwveNLN06w/Z6CTpP8clZpCmGDdTLcV1TPapEEH2O4Uh69BUcg0QvGcC EvWTx154SHFY4qohP0r5syzw42wSKIcRsqcU5oDJPuZLgUYwiRJKDr0agcZkZ1eViEZkfxlhUnSo 0VMh5Lwj4qImFBeK0Keuo7fMUhFT1rpqO+dQnjl+SmI+QmwdxAgAsdZQhkNkIk8nA6RG89FUpTej pYp1bkK9ny/CofyTYu5yK60xEvD8KPGYPa+jYfwjAUhaZS7V4ysEwOI0UrraRZ5Gl2AHTRIYwyiU Dl2MakgHHCuXwoQMKk0gy3qUrZOSOkDQadVCBmOGkmA/STQjSr1EF9x4h5zMY/5q/lk0yYYh5rJc Oum0Yi1sePETAAilao0s9Rnjo2ucOgwSA0UPVnGoeTifpkyN57ejVhJ1raGV0add+om3OoZFAPnK kBKs6ucokpJp0QXg4GXwEzlbssRl4UVRcHLqM7BglfWL6ujjyRMR7k4dAnHXGSa8czNq6RAxaBoe U0eEJNCvxOAzhIEmR4CkUDRf7o5nFOMris4xhaxOBAmZjAJWy8qWzoV/+i3MhQhevdycdF/2GnQg V1ExGiSD6NRYEUFSKWWnQuVNDPIl8+u0lonSwkcLlwct6T/66uTzSMJR3TD5URq5sEdVUSIBxDO1 iChazxRMbKN3CfJkoRLwYocwW8XIcMwUkfA1AZ+mx/Y2UbQFUlwRUP4HIMsqwg+Ulg1ATnhUWwWY qwIC+YwwZBksJl4IDGY6VoYQPFEWUQE6TLBhOB40LjuEPZQEBoCMHJoEAEDhjB9jQu4MKsuISQiI YhXfMDUhOuy9v+3Wv952281f+MI54+Mr5EdBjrYmGCXgI7fEad9N8jI6l/Lggl7DsP01zQd6Xr49 5KD9AeD1bzz51FPflUiMwBPt2jV9zdVXEtARRxy5uLh46623EMG+++6/tLS0efNDiiCrIiUxEwGh cYe85tX79sO+X7jwuHhj9qeve8M5D800HvuaY4f+8MmfTRUNRj7pRoI1U4PNP/rU+U/86FkXvMxN 3/nz8755098/IzJReHCx+dRPfP2UuX8++lO3SwlXZE0czAEEgnbZf+DGj55+yHgDaH7T9T/90Nsu 2GSXewYe9fi/O+SBGhKUbuDgE8947yHjDaC5B66/5ENvPf9+29uYvvR971n1gX/+/I8/2mw9/Mfv vfeMK3f6Zl/s5rBH70tRqdT+uuK0th3ea1XvXd88OmR96mt+qTznp/d8+vt3bNu5LD/W3K6DdpyJ vi2sRkRLZXLCm4UrCmMMtg4+yc9PgGtRuVyUS8fd+ot9B3se/SRvLZpay/TY+3bWJ2aWenF+j5Xt kcZ4fc3ibb+du23TwAWrjpqF7iVBWoNPv/xbh5/z0ndd6tZ4V877lad//JQT/251o73jTz/80ulf uHZi5FFzc/U3/du/nvKUFTR51w/OuWT1yU//4caPXLPXa77z6RcfPGj80o6bLjnnXz5/7dbe9Xbv oy767MsPsg9843Wv/ezk3vN+xbs+/PaTnrK+F2j69p+85x1fvAaf+L4LPrjXR459+73rusKjL1fW n/npM//pso2v+s3oruXVZ//0w6vOPPbEa4eWaP3Hv//+kfe97LT71+0G5v1GnnP6NafsMbNzukUI sHDd+08+/d7Hhq5Pvqv64aSb9+4Y4Id/xTWgXVl/5pmfe/fvTjr2h70ybctuvNJIGJF3Zeeof2v2 3/ukMy5a96lnfHT7PJpuAO+/6rnv/PErb3/dy75wS88G3OOlV3xp3/Pe+ImLJvv+Syz9/77s2L7m r98AIhuOBisMWmOsKYzZc6/9nvjEp7/mda9/8VHPXlxe8ohA8TwqAGg0mz+74sovn/2l//jeVzBE MwnKdomIzvttE7sAaI8NYzFuYo0xOL+wtGNizhjcsH5kcbG9ffvc8rIzgLXCjo8OLbXau2YXnXc9 9drQQN/C4tLc/GLpfK0o2mUJCGtWjXvvJyan0cK6tSPBZG8tt2bnlpzzAFiv1/r7m61WOT+/2G63 rTV9vfWhoSYg+jaRRyAkT95JiX2yxgDilu07Pfl1q0fqPTVbgPN+YWF5cnIeDY6PDUxMzALg2jWj 7bafnp5rtUrnqFYr+vt7epuNIKRbZbljYhoN7rnH+MJCa8eOGWvN+nWji0vtyclZANhjw4qy9BOT M0tLLWOxsHZ5uezvbRbWTu6cQcA1q0YBacvWSQAaHx8sCrNrZnF5uR20T1n6ocGx8Rf8yxt7Lv7S 9/788JIvetcefvL7nn/fv33rxqX5Vjm1c6EsvfNUq9nBwR6DODE5Y4zZa89xAkAwiIYIXOnLtgdv 0di41ylk8cTwvnJR2LPxRD4e0QAQVaYJf/N4IJt0JvwvaM5kzdx40x0nnnjit751wdjoaOwBk2Es unTnzp0bN776/G+ed8gBe0cwEI01RVGzpkDEbdsnFpeW+/qaIyNDRL7dau+cnmm12s75orDNZoMA ZmbmrDXr1qy0xi4uLU9OTRtj1q9dWTq3ZesOIFi1cgwANj+83Tk/NNiHiLtm5qwxQwP90zOzBnHN qjFjzJZtk4hm5fioLczk1K6l5WVrjC1s2XZDQwP1em1ictogrlu7ioi8dy4UMgNACMfqGWPM9Mzc wsJS6UpjTG+zZ3howKCZX1yc3jVblmWjXm+1SwRYu2ZFCzb8w5s37nvx+y/Y0rN9YgoR169dOTs7 P71r1nvfbNZ7m43JqRlEs3bNOBA9tGUHAIyPDTd76vMLyzPFnk991tMO33/tcN0ilovb7/7TJd+5 vTUcHPyFxaWJyWljzIZ1K+cXliZ3zgDBypUjZemmp2dbrXatVrTbJSCsWjFSq1lXuuld8+3See9r tdpAX5MApnbOIOKa1WMLC4s7d80h4OBg3+zsgrV2w7pVS8tLO6dnW612vV5vt0sAWL1qrHRu67bJ Ws2uXjkWy/QY026XW7dN1uu11avGp6amZ+cXxkeH6rXatomdRLR29Uqu55MMe9HzQi7qkEAP4r6H cuHJjBVzk6LJqy6m9Vj3zSCiQYNAxodAdLBvvYfSk4uH+wU/AU04ASxQO4q/yR6euEMkA8gCHD5B QCYcsGls8GB5XIHfeMMmAEQLNGVOGESDRVztAHLeeQongcTGDYenOTziffKFUbg8AhcjBJzmJLBG +zsIBzRsYetHOIRBlFw48ZIwdZUFL0CcFrbGQ9NdPdwUJtFTx26eNI36jY4mulV20O58l7dR/6PW F9TV8W7eOgmoygtLo5SQsUa4+pSBTLLRn5uvOIsqAJ23krw3mZ5E9WrGk6+uMEPSUNjnpX5IDMpz xw6YEFeGApIlXiJP3lcHEJqV+QVZh5CKA3rCOiiKOm7vNirR5cLO9gEgVeLQ85GG1YUi1PYKJpqO KZFH1ZSyr5KJPojCCJiNmKk4myjRqLBHkCHse0dGI9U9gqYJ9o9EMCQJRjIIgY4B4zkW9g42IpD0 ng81EUT+e/qTT1bmrue8qfgnip1QKSm9JstePCq9RpJjutpvRCSPEuQtXsIkgFBcNMEuYQkdgCbS YQKeu6wTzv5IUhoRiMh53lWnLiVAeCGDB5eEeJwHiPwawj2VkHY+M10CThVgOQAdVJtnyspA6tKG gB3lVuiWmUFjqtpQ/htqIhEsxaFiVIUgtdOgimXvldTSGjTTcqAGhbpvNZoMU100TIfgSepNfmax 0RHoS6zV8QZHpni6qcoQ3AlLG6oOUKGQx0pxWuJcG6FgXlcPstd7FyJcwaxNuicjABFCCACECoGB W7x33rnSCZuKNBNgklERQ1uVIz04qMdiWhHw7qR8PnsiVsVsSPNPIuYqGMs1jNbhotwyNqkImNQm h/G0ShS4uhJYAMx770rXbjnvAQHQoLXG1gpbGIMInlxZlu3SOSJENBh2G3sicl6iwphwyEhFtNZY a4taYY2Nu+i892yBYn6yGYFai2StxWHeIBwiTXVMAOONdbn3zhGR92IeEpH3hAatLYxBY60tClsU CODJtVrtVqv0ABS8KrQxbB22XXtH5I0JTq0JVZC986XzktoQwEqUK0FfEdv5RGN6gqmD2LQBgIxu YjSdhZo2ednhiI6EVk8AwX2w4TgcYO/Es/EQNLyoeBJZBxL05lQ5UXHRJ4mAedV3BDVCBHjJpde8 9c2v/bdPffHjZ3z4uFe88rDD/j50dNqpb/nc588+5qinMcXGvtPcJlEUcbF58zahibVrVrzylRvf cPKbq2QMAADfvuC8b19wXhxEoLJ0ihAg4Mzc/MuOO/6UU04DgOc+6wgAml9YGhwaaS8vHPLoQz/3 hbMu//nPzvwfn+gf6P/exT+5+aab3nv6aZrUKgI5M7wQd+yY4oxAMZNgfGxkanqmLMtGvTY0OMDv gfNkjCnHj/7Yl9+49L4XfOqOAgCWl1vz84vOuSJEpQBGR4acczMz84jY//dnfO/j8MnjP3Ib9gGK yUIEsGPHTkAYHx22hW23yrn5eNIjGuzrbTYa9Va7vXPnTK2woyNDrVZ7dm4+HJlm+AEAcKWbnVto tdvW2p5GvbfZYwynIz3+kH2YOmln49D7ho8HwA9uPPiDGw+2FgGgdP6W+3ZdeNWmb/7igR27liuI 2nPXRUOLN5NX5bjDACgqEkQsatYYbB14ol+YhHKZyhZQOTa744UP3LC+v3ffQ31f/xzCYL0+2zDl wvKQLWaKgdrk9uZNNy5dOHDI5sFHdaUJAJjZdl97ca5nYKRvbD0AlK2lhakt7aV5W9RqzYHekdVo rCtb8xMPtZfm0Rhja6693Du8goiW56d9WRpr65OJ0ugAACAASURBVM3B3tE1aOzS7OTCzq3kfaNv qH/FHq69ND/1cLm8QN4X9UZzaBUBze14EI0Z3eOQ3YEkl2svTW++CwDG9jq0tTAzu/0BW2sMr9t/ aXZyfnKLNNIV5sn7b6m01r9iQ+i6b2xd5cPQ2v06B9gcXt0JhrS2PD9daURG1DnqWrN/atOtADC8 /gBb1DsBbi3MzE08BADD6/aztZ7F6W0L09sBYGTDgcY+UjHx/53Lju1rbj0PAWtFiEAbU6AxxhZF o9F4/vNPeOObqqJEmTR49pe++B8XfwUBEIx3Hj3YwqBFAHLkgIAI0BhbGGuQwEdHkqgs/dKiL1tk AC0aY42xlhDlCFTnHFDyNBCxp9lDQGXZRktoCI0hTwBUr1k0iMYSGU6a90QOwXMBKCzbnjwiIHnw Qe0ZRCRr0BjjvHfeG4O1RoGhHnUygAwROAchbzo4Md5HVSK6Cw0YC2iRxT4QQVGYorChmbCUBxSK ABF570pwJUq0CeKeGYLoWIAtLBC60pEDREPYv3rj6S+7+5Pn3zTXAlgw+z7p1RsP/OW//mBL0fYe AY0pMFYdDQP0IaTliYyxCMZ7Kkvv2oRoDYYANEBcxA5RvOQDIkeHyZP3znsPntg4NaJnAYC1c9TU xsRizRhTxqL2u/GmOzdu3HjBBd/eTYBJeoYTTnjVBd86/+D9945GiwFjTFHUClsAmmishK0G4m07 FzAZVDIiBFoO592lcBkbQM77dtkuS1e6UJFETDIuhm7QGGuLGBYkDgtCLGRsOIc6WE4+GgMQjrFH jLHCGNzRfm90CoHEZwx+Y+ndAh74orceVXzjI79YHCXRzjGe6FmfhmAn60+29wGgXbr5haV2u12W riiKorA9jXp/X1O8GUISwwYwLC3EwGJgJQaTkCjulUIMZ9BF04htazHbbDAHjeEtfMSYNABI5Nuu dM4hAIdqBcdp3sVMT6a6mGCJGrNIFptXEsilEATgyzBJsbuTYs9Z7kDM0Il0jQYBDUTOAB/CGo7A OXLBi2UkBTIwUZQwiOyis8kG7AYqqkeOl7AnaNAatAYNhKgGOe8ZkxjmPCInEFWkAgKDaNEGOgpr RD5GiimkawfSN2jEKRVC0gAhoET84/iSuS6ma/KcI80S8nYtnsLgo5C0LgHo6J2iYCX+JZmeYOrG DPndxiQIQnX3DB5gO7NDsKD+iKmZ/CEUoLLn9f38qjSxm84rr6RHMtLO/NXcXQ5fqt/S29qVfoSO uY30DntXyIpQfogv6O3vUqUKIpsxMaT6s6TkKwIvT6oukzMOABwPIu/ER+qc6c5hqGKfCW8pcbrL 23no4JFQpNDSeXXKqi43q2UZUwBavSgftVev2sHqL6gnBzGl/YVwUaQXiQJr+SiiQDmfHeMWlShS EIBj7dkr6XNEAKbYrg4aAQAHoNNal/QF6jnK0EbJ060AmNAhY4cU6GEfU+QpCafxnLKdkyZZmg/P YnfyIFYNMkBIe5OT6xwBYMSlroEgJeKly0QtES8v9hbPaIh7BN5QGf1dchAjVAZEJitygYCLYEZ4 zxZrwragNQMPdd0qPSgC2Rkv1pcAFxqVJjrwGUmNLZ9IcmxBQdZOAjO+qj0Oza1R7wICQKiuFha3 oMrKovpJ35DBZfioqJ4KuWQwPtKVsQsAqQLkWnN1rBQigKaqBL7ir8Cm3Um20pbmEwBIefGRi1mj CzZj+8amtW7y3nnywTIKQcm0htCJCAQATEojsicQeedKVwbrCyHF+AINMOgpwp6ghjRy+TcNMmk4 QS9kz0sUReuNHGAtINVTBAThgJJOq0GADV4hJaLjEBdADpvMbQdBa0CYdeVn8s4758uW844IwBi0 hS0KawuLCOC9K51rh/QXhBCeNiZpAACQxT+I5n8A21hTWFsU1toQgA6+cxRaKCod1Gwk1MtHMaUz Sx4TlgU5ca69/I84lZtCeQw0xlhrjLWmKKy1gEjetdrtVqvtoxKU86YoJEc554g8mOC1mZhkS1CW ThQMaVLCJAWYGDCNhG1aZhw2+iEiTYwQHm5mi2LQzUnBJ3spGrvSdhiJNcZYg/wo51JzM8YYJr+U 4YvsyTivtBC/ImKVGIAwDpLhEMFPLrnmbW856bUnvXliYvtznvs8mcx3v+ttn/3cWc8/+kiFryC6 +VWSCc4tY+ay2bmF417xqlNOPQ3y66yz/v2ii84fHuwPb4kXFlc7At4JZufmX/by4995yqlHPftp oVHnnLX25a844bUnveHEjcdPTmx70Ute9pa3vuNTn/z4lVdcnjpIs9opGxEwhBGsNSGG4EvntTeY 1lQBAGBu9ckXfPnl64pyy+Uf++f/8cuZnl6A1LrIEGYuICh6X3LW5wY++JZzH/S1mggCEppiJR1u hBUU52VxJIoo4ZF8DNiRahJBCXNQRK5GMogjy7fMzu850feUj15w64VXbXrsPkOt0v/nHTsfnlrq bAEAViz9fnjp5gCDB4lSMT4IAIAD9yAVh8P/J/vHvzt20Isnbitv6lm/R3NoDFtzuNioQbGwONV/ x3UtsPYs2Gd+YO+u8IdrcOVePB4CgKLWGFy1dz5OsrZW/REAAHo5RCtP9vSP9vSPpheLRmqfr8ae Q9LdI1+2aIzt+ejwcL05IJ9TL7uHOT7ctetuH7oMkCHUYKSmeoeqjajnO0ed4CHqBLjRN9zoG5YH mkMrm0P6kMb/Oxd5a4zhY9kQAMFYY62xQEiqRkquNNOfoJ7DyWjWGmMNGHS+DCAba0JgG4BCRDou 2iQGjZLcR+M0SMr4CAJDZdB758GjITQESIiEFhDDSi9RSQgGIMVRgo9rrCHeUBPCMxDXfuOAiQgN WEAwwTOWUoYAGM6hJO9DABr5SII8lQ4BpOQWs6wnci6EI8P2QPIerLHWoPOld+hToelkkxrEEBY0 xgRvKlp74A3O3fr9i29/5dtOerLxHqA9df/vvnzRrYvF8AB5cp5s4fgsO6JwYBoB55oZY8ATxARI Ig+ktsOx95aZXkEQisWvK7GS8hyUDoZghEQhGsz9OKkIADQ3N/ea15wofWgzWsQwAExP74xijyAt qweTCKSCAAvkaNEZQLJAYIC8Y/VMCB4MGD7/jfcJhn3fbJowlNGQDMU3eKBJ6Yd5B460hKY4mS/g JO6YEsMX4wJIeDvqXe1+MGYRzPSGEz9w3PrWbRdfsBX9gIeUJJuUEfNMiEEHRZDMq8Ka4cE+iShh DDFzYQNk25y82MIybybW+WUqJnGZVKwfZLrYfci2rUHckxdsMEIAJMIs+ErAhCQmXaQfiMFLDrkq j0FPc2omEauy75mWQOrGCn1F04907J7hQN0FYqo0KS9EJueeA4IhXcxMTNMUyr/wZPHjyf4MjQlT UayVE5ZWolFpUEYVRBKEiERoSWiYZNCRLA2Bl9gQgEm7+gKSleyKZBzpI0pkTyT4UyiN06fxT17X TgCmMBkjiTcGgHqiUlSMhSkBcHkRz0GPSNqKUICFQnZxJIkXQURBkX5GeYD6yoMd3X5UFW/U1vb0 GyVhmFnkjAIFvvZLeIqUe5NH1RXw+UBUZYnOp1G9ld0llnZIXHRF+kyUJu6MTJl4ahio3CfhTrnV j8DKN/jtkd6YAljZB4mHHo2SK0r7dMNANn71gRL83V6kypeqABEZgwJ4BgHm70msobOTnIi61UhJ lyqmAmkQGFGYetRiM0omoRhIuA+aKMEIQADeIDoS8aCxQWp4UiqU5TD7VpRRXfZmNWaUnmESygQs VYYlp6BV2THTMIqMuRlWrGmTPt+n6LOLqiTGSBRP0XLj6Kqe5PAKdvamF3komHihDquKJETOZ2bk UhqkBEWOwogIsZBAGojjZ12toYmkydJNTXQVV0HxpNoekGSmYDaf1QqUzPIMkKhRNVlKRiVjT8FR 4Qe5I1qBEV4Ra+qL5meiCj6AeD6jKmGNLU9Fu1kzru6ItxOk4jM5bjC9Q9XJyAFONB/e0DOhCi6w iEucn/ElfxdJm3DD7MkyF2XBIAOrq9TsnF7FSol/g4uRSqIQIHoCnSWgInIkUiMbv+6DIEwyR7SJ DTx2jqoUGKaChOdQxiudiuBLBJkMPNYh8gu3oiWKIFj+kiinjBRD14kSSMRiJpzlIyYCzcwf5D5Z sIucUVSjLQYGNJrvQagFfzWiKBIIG/gZV/HkJNNUr9gygCgCPnWqCEiwgCxs5DUlS7Irj5Wp+GRu yiuaoagRDKco5dpOiCRZtpSeS/MNQCGfjMJJVgToY2pOQIDazyszohbLFWzZuAJ0RICJfHiikhQM O8GAqZsnoXqJyEyjyiyquNXAGAxeOaFXvBwXgcQ4YYBI+8vAfEVR8LH8xhye5AUihIU6BAJ61rOP ympoUFqtzP02BARDSCnjW5gkgBeRM9Df+73vfhuA3vHOU6XVs8/+0ncuOn8oRJ8jbaNqm0UuwkB/ 38Xfv6herwHj2loLAN/4+td+85trtz68eWxs7PgTXj01NXnFLy43ueCHRO2JkpMLAYFQ4lAMkguK oqqxCADdnV989fO/Wl/ctejNQH+fKmSBXWfZla37v/KyY40ZHxsGWW1haakaZpEIueogyJWYpgLG LxufmawCBKACozHtg1xcN3MpkZnsf9LdW+bu3jLXAXCCfOXS79fP/tQReJfNp6gs0AzpIdaABpIj 8rYXjfOba45feHj2HjO0mcj3AwKAb5v2ptnyQtuzONbf/8jHD/7t+n/2Il8YE2SAKCcAg4S+9GVZ nnPWvyNmkWh9lWU7yGVKCRbRyQzE7L03iN4577z3zljjiTxQSPFT2tgDAaI1Ud2GnfAk4R/yHjyF EtXRf+U1UOc9EAJYSJJNIlomZ/ToaIckx5C+6MkbND4GfqMRE5c5jQEW9iBhEh4aACQz2pENXQR0 IBoDoXSsNWxbGTTWePLeYxS5GCthgVjcBJ7LEMcBIKIJ9dP80OLvL/7ir77dKgmoXiv6+3v6B/u8 9/JKkKY+nslgKYSzCInAOR9i6CEwTazGogGhPEbx7pLmTSOviF8SSCmiN9Qdk9aSBlu5YvRHP/ph xXwR27CixcdGBkXRB0DJe4+ea/vydHJHcclAqRDvPWJcQyELYWWCWK5TDENqTxkAPBt3wULheaHY Ufg9JhkRpBSzWLYgGaIcF+Dx5IZw0o1iOYCf/92n/+U639NTHx0ZtmGvXXRyI46T1SIBUuBzSZS2 Yn8sRWVibkFyHCgsdIp1iOIAE4aFG2WRYdKNCD6b2NzHjx+iieOBgPfqcsYFkxWBch/Cu2HdJ/jt 7PgTyDlWxCvAPFBx33J6CmOI5m4CPwvCBKzqepi5zUIUk4w9YKiMLqwik4tMCMF6FILMM0cjEcQI NM8OcNBH7EGiMCNCkXHhKjdHZICeUx5jPhqLN56YGGcJARPDpJhMVxHRMUQdpxBSK5GtAYHLf6Tx y19Mz8ksCaVo6lNSQ1liERbiqAvbzMBehpg/PDky5Xzka26LZS+IWyEIRPBASQKkG2mgqYlkuqNC rf6UBqhC8FInQdDNRC6rWATqqKw8otPFrs3HA5G8MWOhDEeAVazkchiETLPRA4eTgdk5Ns9hUcyb iweYp3Fw/gqhF5mpmVgcx4TeIKYQgnWRXOQOLORdC8JoN/fyrxWDnTJkKP+fI2mVtjJK4b+ZH9DR s4x7d8OoTk5GO5pD2PEInbIs4eng1dBogOWvC3OwIkjqvAKtZDMmxQGCYMX0MmZlKIi01Z3mBNgV D8SmShxG9UGRkVGSp1kiDiJn3XbBrIii4H5GJic24piOAwAc1ctZVzRWYixkqcWkHPmWkpeYLDk9 z8wrSjBCTich/Bbb0uqZkUxCDCmZVl5Va/kgb8Wn40yy5VOVmulLNGZZ5GV/tSrIkV2Z9ay1NDDd YdIMEAJt6TWERPTxd5EmWicSq3Q504o8pCVjBT/kV7iJLJqUjE32pyzyJjXSIYi7oE/1moCoSJAK iVYkiGI34QEA/RKvluioRscwE0XFXPOkmCqTlg1KS5y0uEhRjEAywJSkYQRWkiG5URFCoJw5QUqn wpNhY7WpTGhyrKtCykpN5zjh6VZUpmg5iQIQIq+gUiGJm8ZEQdWQVAXXkrTEaMc0Hupg5vS+SEgU 6dJZqD7JIeZLoPBc/MCo4fElU1y1IvQRRCFLNBEkOZ4zWClxUOpI0Kp0amwlc7kQMexIDmnmoXAT KjQTxCO1ZZKCWRLpzhOpTSZRM4TNzqDAUOnfUYkyXFpIpSEpCZdgJQAIJyay0Q6QFjCEgISsYo/E pm5EAvEzICBEeAwa8kA6RYk40Seiiyg5I3HQgijuPt4MKgNBFir4mJiwtIHtdmtgYPAzZ35yeTmd MkYAB+y/z/LyMiOA0UaythqC5hyJVCPXjQz0933/+xcR0dvfcQoAfPmcsy666FuDA308H+zUR5mg 19WBiPr7mt/+1jf7+ppCAwDQ19u76f57arXiRS9+6eDg4Ac/+IHgsLNAYhNTq0LN3nF9mrz3YJKq 8zmu+WUaGmx4X2LfwCBANG21E9PBDtaaleOjSchgcl+Zi3nVOQhlUgwacYEoi0yZXOPph5gXhJlb RQBQMN+h9xD2F67f9ZP+5XsfHj6mZYeh21V3u9Yv/Gxk6WbnvHdBikPEpHCHSGokCmE+Yk8VYgC6 0T9c1nu+tjjaN7/zoPld/dRCgBms72wM3js63ugdbNR7dhdA/Nv1//pF3hhL4JGzNUPNCOc8gP/x j75F1A72sCMXDiwkIgNYFEVMFCUANrs8ee8AAX0S3liWsbC9uEoABoEMElggHwOiEIrrQ+C3mOcf G0FEC2jCGQUpyAsEUhoByBsTmdN7iivwSprLziMubaZsxJQBTDFSyVZzrJNsWFBFtk/pLTJQbwB9 jC6YGB2PNgTyPiMCX5bOO8KQX4CAgBJ5MsYQEXh2zwnRIO/YJPLUU6/1rmx4T54c75mKVaAQTDiY MaZNmlD02SEgoAnbncCbuAEU2EJK9kBykZIrBMmwETuDV9W1HQZRnoYkI0opjWybIQKsW7tq/brV SoRH7JH3zpXOlaVzznkMxQ3YrwgKn9QVCZV/iw0hp4oHMyFMfYgHWw8Ehgwvd7D7GLc6yZxGIpFt MsDGTvIE1MXlS1NSdBwRdD4rdBLxlmwf5VytWT3Oz6IYLBRok6eBg4mY/AOGPcukiLRPHB/3aVk8 4TJ2rueZWLWwOQp8ynKmySX4GGL1RBB3ElNsJnTGc+Sj64zif6U9jYyuzCRTpJiZsCqHgidOIZsd ArEps7+kn6bYgsQCkhvLxgaF9G0CIMI4BTxjGGqcG4wZDGx0Vry6oMg5DQjiukYqxsksxDiXBphr 1Mj009I6UoofCt5SEEmmnL0fittCxMAmQDRGI1hkXBqIdoNR9RCLlyY65Ps8gbFfD8AyG9QME8RN +pRISbLGI3BM9Zk1xncZDaQ61GCnp2VFP6oX5f6JIMscDQQxN3NeFjJQt5S7rMO4kL9IQj/iBOg3 Y5/QcWkGUU1pHcSo0gPumMX0MQoLSt/iv/KPflElW6dmI9ECM0vcj4GAwCowwIWxBV5rFgLX0MRp Ya+NFFyPdGWTV9ErmhQyORAmNz2RfCwhAZl3TbKEcgcYQzwq7RFDFEygPKr/zkhAxRd57CoaVCXF FIbwDB/x1ERqIdZ0oH7UnUYy0kQYnEEWr4rC5bP6JZpI8nBlZZo6ZpCY+kO/AlIS0FWcCD7kWdHI qqN8VPxP4rZoFSZJpiZWpInMVxI6CmoZs7yhZRyg0ECCJwlViGsz+Xh5JDxDvCKL2IVz1bCki8DH 2vaIHKckmnCrdNutmQx50kCMrXAqq0AZyETEPWZvR7plZsoZRp5E/VZl2mX0VSaKQGXI0UsRxI55 NgfEUVhWUSLucgLVnTDJVLLrSHAc3QfuOj2m5UiG8CRt2FpQMqTrBLKcqiJI2u4W85Wxs1gTVa/g 0SE8pXLi8lMwt1GJIxkOCrjC/yo1Fqu4EgSR/JfoncVPGqhMN4dqlE4jgLhvh20Zeb6KIAVjLiQo 0YPyG6qkWfmUHq2QnnBvTIPKV4AgUp1IAeI5QQDO0egUfEJFakwxmQBA/BJiNotcmERwgBiFDrPO CXm02kiO8kFep/T/gHSCCpkl9FC0GCs+jzRGIohZcETXSyg89YgGDRg5ZwWRVVta3Q+uP6r+xVsR WQHEdmqHpuAedQOgY4GgCZ5IzV2cXRINqyhQpIKMBytGVCzYWbEw5bPuDCRuwLMiS6O8NYWUZE8s DTHtC6K3JW0ikY+xB0ECAQJ86/zzPvyRT1mbzpkLlyvLb55/nnLW0ltpVNxecuMqF8JAX+8P/uO7 9XodAL733W8P9veSEm/8NieTdFBZf39vlBEsiRCgqBUE8PWvnzs5Nf3ra67q6alzU0pUk/yTsWR0 6ygkfhvuXv5mUxRaMyE1k4VJJsZjp0peiJTjHUjVpJvUcnxUeIcVb2g0F3I6LQAUNCishIiAjz1o n5ADDRDPmgzT5MHO9B463XPIYm192/YDQI3metubx9q3DS7cAtQmChntiIhxc5cMiCUBIpjCWGtK 5+CgV/mlXdReonIJfFmd+L9df7v+V65ibJ+hTT8uvYviFaEoajZUAEPw6Dw5Igdh4Sg6KKFOk0r5 YH2lQoIcKPQU1mMQsSgMF8gH8uAdOUeUmMUYYzwQETjnYncIxoAxUNTQWDQGQx0sgliaFqJWQ0A0 YKPKCvWeEQDBe5fMUkdEhMZYa6KYCsdpI7iQlgwYSlgG3WsMxkoY3ruYo2l4LTpoJBVNQjCWIJz3 F44eDcc4ICGGPTbGeyrbHnxIXMJQv8GVLsKXjrAHRLAWbZCAcZQeQzXXgG7GZThTMXzmur1QWAOI MmVESN6I9oC4KqqCuOwXSkaVpKGSJxeqyxIXOOYSz+EJH0WYR4BQv0ti/aolziyOa8baHCHvfelK V5bOOyAwxorLRkCEYAzWrLXWGlMYYwPZxTqTkHKpQulwx5WxEMCgKayx/G6gyfBYq2yVbRd2EyGC CYWxQzWuAGgo0IWWAEMVPAAwxho0jEiCUNpYrCuMowrGAqcbBBwrSolLD2m5NagcbaJE/yAGDX14 zUAsU8yYC9mwkOXDUJwcIojzEgOlcV5CuWoxYyUbgFgVRUeU560iMdhCBIwFoI14pV6tnLJC5QUL /oHYUxEVmuUDMOnIX0ACNEKXwbhkmtUFNiPWjaziZlkQ0eDxqW4aEQf8wn4FY9Ck89gMUTB90IcS muRkDiNpoOX9c3Hs5L2scgvtM7+IQxiXy2QGSX7zwoSxCExismBCpoACAETko7E8/ZHy5AQwQ3yu kKz9kw5AI8YDGzV6teuC7IaSWNhMDRWq6DS1MM1Dcp1k2Yoyaz6kfyCaVN5aggncOsPHWoZ0h4K3 9FVlwKc7HcScva+Hk722m6f0Daw+3PV5aVUyHSQbGtnfSG8m+zkbrhBt1r1moogn7ACBEYksgUAk c5cgZ1YBRsEoNMaNsnckPCxDkn4xzrYMmj06TxTOe1D5vhqVsV0Wrt1uZpfGEeW/7mb+EFSKST7v pOg4LYSpbG5kZyFNVPBBUvZiZUb5uW5Qg8IaAbA4MhiVjJFHBcNYHWXiLCJyrvTi3HQMP0dmDBZg dpPBJg1wHm2oQCMDeSRuSc8w7YpQTzflL1F1zKhmSmQ7KTWbJBwTvFYH3Zi1eqn4kSYOVqraZewA ueO7UlMMlNwA5tbIhXHBkgflGWM61IcAcZ9+bJDfEkVLpNumLGxBqutswhloyiSlIDENiatyxfcY s93FaFVSV6ODcuVUhcqy2+2FgjbuLKVvyiwjyT2xzSpLvEw2acDhL6nxYQfOksDmp1hJpWeVwmaI dQSJ+ScfporQ5XwndI38b5oXgioLVSVmtOtSTUKxZxiJEjdFY9DGxXUKp/Ig12ns0BRxXNIRR1oz E8x7H1JM5KTznMWSzSS8EC2aTKxgNiYehqIvHdAXQqvqA74L6feKatFY13ew+mAiltRFLp+yLhSv xNyk1EemMtVqJwF559utst12gBjOpikKy0eQee88lc45IoiHk6DIAK4BDQrpAb+IaCwaa8OBMRG3 fDZcUhyYKTyMy1HE6oYZK0NIHLiyUlAImIjimZaIAODJo8HCWARwwR0z1sYa0AYAvPdlWZbOUXIs Q/IZOe99qLgIYtQotCsNBiJeRVQk/IplXVHTWreS+oXUgnQaV2yYDSyWGF5JneQORdUeKpRaa4NX S3FMxNZFcN2CIRAy1VT5C07+lnmQLCBg4cvkishJNhhEEOyanp2dXfCeKuM1iH19zcHBPshJknmJ EUAUagUmxhVBG74atNbMzi4A0NBgfyArOf2HKNYwSd4IAxClkxLWsowcLk+0sLDU39cjukRmIxtJ BztjdINTOWMi4GOQIsIFGmKppFWh0sWqp07NB9lyEf+JXJcwkOwVHmmi8KQfBAC9yKWQAwBYeKJQ alHILYTPkcrh+T8Pz/8Z+Tyg0IcncqnoRiwIQACeIMZEZKqZZ+LDD15t1j8NGgMdQ/7b9bfrf/nq n/w9GjSELpx1Bui8AwQIRxJAPGEtWN0QjiZDBK50B8nqiwwnx1AHUeJdNNYLE+LRnEgMMUbklZXk WYwSxTQ1Fp1h90gokxGLVPhw1F6wqKIokrJlCBTLeASODKKEj6kJlmMIv6IxbOcAQgzteeRDAbwP nBdkRhwhAEA8rBBEpwIAARkDZINQI2tNGA0vt3nvAAg5uhLVDURuR5HF3DDGQJnndDyM8RoGPioy CutXUVCFQwKhLF3M8fUQ86JJzGwK9ZC19go9s8BjaaxshmSe54ZTVjMKK/Z25Qpk02m/hWlEJKPG DyKlCcAbQk+InogT75WmxSQoMx3k40k+ZEJLEipNdhnwqCRamAWCKerKmANLRA4cxc4ghINV+EYp f9Y8xMk0Cc+UFJH2MZKQF5IEqRTOFMBggFPpIQAAIABJREFUE2tebkfSjsKM8Qpp4C5OxRVSZ1AT Fkj0MAOOKDsS9ZwmML2nEDMMB3MGcCHaVySmK0cPSbud4k6xVxcyNGTHPrGqR04JEKshviXGj45R UOa2EkubbK5BYybeMQDISSKoJiHOhETfAn/lIQwZHYmk4H8M2+BstHPjRKQ2hSX+QskqwkQxKebO pq6NJpIs/jFjc4iBgDd9RTbn405BmbYgcVCoViBgekWFc7HSY4UiKeXGq/YKI7HQuACgpkDSbBPh B7HgOclJhqTZKB4mJhIsM/uiyNKd6B7Zj2IqkY+iwoD4VwQpocpzK1cm2pJrGvOAIcNg1n0M5XOo NjFZLjgyS5b0jXQnGcoCuLqZ3o4YzmQRhtxuiFlmFEkLlDPMCI1aTzUowMaLR8tJtGnGqmhQD5OI qijBUyQ7d/IyG19NqQay8p7cRQV5N8RSNlMspapBY6VLAvNhFKHAxEaR/nkKKE2YCBihYtQdK7CU sOJ8cwARoEmtg3ATi6+IRqWLRQqJOJfZ5c4z/IkIUWzWgQZ+SrqpTkF8mn0o6HZR5aXQp4iNyGqK jjMuTr3wT6ioH1juMdpVp3FjQe4yagauGirEhmzkHSUDI0PmzEoCTAYtpu9UGQdlt3Q7oFJGpR2W lBmRh/pKDLtOR8O49JxENkqfDEmFYZIoYe5NjimiIDETXhlLVidX2u72e5epVeOqAJbhqZOyEtNh /mxkuWjAVISkoCDlMnfckoZkQtI06seFeZEqdmN1iIpWu6Or2rtGX04W3AKm3SbAM6fhogo1pcFy DCs9zKuCla3mGY1WxsR9VGImynRJIiQZlilJnzjerRtkHa1Mar0jjJS8QMWLCV+ij4IPGvpLoaX4 dlUSijTQC7uJ2lX/ymrI7ROFxCgyu2At3Ii7gphkSCmRZFDkeEmr+BipkqJ0oCiVhBqiMaJseWQ9 n2mBlGsbqjYaii+x7RB8AH6PZO2VM6kFugQ7ASGYTlJPhMCTRgAAJiRscYyVYkVNHw7z4XGkBT9x gogdgGTRypTx6LRMSBZuRqURdQQSfWBPpINO0pD5Q6ojBXHgGDeMEMlOIlKEp7R7lN6iteVgHkUq oapQFEO8ko2alVJKR1g8CoNg1SUmVwAl5I8ZDEpmaGhgYKA/kJYYJUk2RBQlwcsWnOJXTPoi/R59 v7hfYnCwN+CE+LwYdu9YBoDuERM+NPmHCeE5QYRQnSOHSKanqtATuESGgFDQGkdL0cOj5Knzm6iG pdpiIdBFpyRKFPGWkUjV0crb1zKXWwtGJlupTHNs1AQgC6DAeRG1GJMnPYSFByXUAMCTTwuByopA ACOb6qJxFsUYAafBzT3sb7vIGChqNpyPGY4gCxGSwMeJU4iIwJUEgDb6wliWDgAKi8ZaAnLeB96J y5tA3lNZEiIUBafNWQQAV4ZnAWPuWyQLMTwDMAgWCMJBarYw3pN3FAgnCDgkqFnb6Km32+VSu+09 OO8BwBYW44l2gIDeOwynp4WpC/Vfkbwn7zwQH/iJYAtjDFpry9ItLbcLY2s1izY45+ScQ06nL51D xKIoIL4PZdhJHzNJ0RrjnPdAfHJ2yDk0LA7AWAtAznEJegPxVE1PgGiNAQJP3jlvTJggKMsSACwX FA405r0n76PcDbMmDAZorA0EKTKpKAoAcN558lz1GMkTIlhrw8YLE7LhDFpjicKCWPRGEMBYLleK IQm4cN6VZTsGVHlLb6iVYQwSePB8xlrYY09gDSR6JYmk+qBCiNImLu8DCYVKEQRALsbx0FgM1TLU FmzFduEAPcA4AAAfdBB64FLp0VKKo6HIZeDFRQ648bEKLSEi107HEBIO3EUA3nPki4VfSPAliOu0 LG8wjTyu3Ea5KXoQHYRQA0Uhjz7WSkL04L0HF9OQg5pIa7dsswAHohgwLWRjFD4WweYIZnA0DcWw RBBUjsiVoaI1UtDyAKTKaSmTvWIOR+MJ2USNmh7Ik0eMoRY+WEpME94cVd24CaIAk0vQYVzF38NJ DGL9ENsqCESBLBG9gVguhiQUwNpJjJSAewyYCcgJYWgM1BCkJafPIr8UOBGU00JEhJEIwyxEqgia HNLJBCSvgDzN40wePgd1cjcLmIpJLB4Ow7EiUmNkdmE5mekx8Txz2zzZOmISsaGijCy26ZLOrTJn Wg4m0Ug+UAVn16pMg5QKIGIPIxIEaRBph3TYD4F89BpAMlgoR6u2UZQjxUb9/8feecdJUWQP/FV3 T9yd3dkcWJaMJJecFVFUTJgAUcyniOk89c70U0+9M+Idx5kFw5lABBOiGFARJOcls+Swy+YwOzsz ner3R0/P9Mz07Pbs7rALvu+HO2dnuqtfVb1679Xr6mq1SiFRBFUbSO13tW1UN+bvm8A0AgKLrDWh hSJQ4D52IIhRD/RPRUjAN9LAcYEO8p9GZcV3U9WOqAoMwRNDMjqB0eFfwiRT9RWD2oAqOMCCTwcE onW1X8EvJAEgIZs/qOsP1KZVAx+NovkjtWAjhgZTQRMT7BulG/yXDYZWmt/U/gnMqam2NH/Axfhv R6hbDoReWS1OMyqCvUzVygUE9jdGoBSqjtJAhEc1ZYRfxt/kxL8+I2TkhzaEf6AG4utAbSDkFK3U IeY17LraFgG/PQ773X+eOoIDU4QQkxHwPKHzSUUAqk1whdQ4UFH1JAqaVLbi/bVV9dctaApD3imm edNqSC3C21wjR0Qjg1o99bOuPoY1T+CTrH2UHgLtE/xPcIqjViw421VUQDsHUg8MNplGN2iwNPWI wMMLoZIpWQrwuwRNaxAA/zuXVAWiVDMS1NK0T4cEbQMN02pNXoYGxIkYdwGhQhx3SKsGxrbqAoIl BS2AXxU1VVEVBoKHBC8WvIhGBhJwlGGiRDSDOvJDbpgH7YGmAuqgIKCGYKC9cUY0jahp0mC4Hux3 7TUCjaxWPdCXIbpNtY1K1JDT34Ja66Regaj+SfOdRvP8Qb+mZn6Bqd9chDeQ5ny/fmhv4qsBS2h+ VXVqGgkCTaepeDBY0AxO0GSGwsIX7ZALH7IhDa0Z7FS9bazeog/UxL+9TKAbQ2xwYOyoDejXLgju ah6YRwfNZYik6hnav0P6QvP/gSMCEXgo4d9o3C8JLUtbnhwqUqSdo5FNTLRHaYyC/0fVPqhTOXVk KQEjEM1ZgRID8SoJKVevfuogBVBTG3LofY2w4EdjnIjm3pj6pY5zDAgTMCsacTXmLtAYYS0oa9Pd IaWrV9CopmbOHmgDNc8ZNq+CYJytLVarRH73Av5kYvAAqhoeEjiaBL9UxaHBORf4PapmwGoqTQOZ U80USW24QISq2g1tgZQG3oztt2gk0KfqZolAgTLBUaFRQAoU1NW9FAAYgJBFzapXVfwXA0wg0g9q ajDlHlj+G97QajHBG+qKlEGbr7X+gYrRQKcFbwOHDjf1P0EHqvoOCOS2g1ZCPVAjnb+iJLTCVKYU ZKre9qTB/ymyKlOsoIcNtFJAimDE7j8kuLpJnc6qfUGVPdL8saP6Q3BWGqK2IUZa3f2ShFVJ441I 8NIBxwOEIYFVjNQfvav6qqqlau20NkajvaC2efCmDg3zN6CeGbyTozGGgTwwDSSJaLDggK3V3FoC CHmWggbKD7S/RsDQMR2wE4F1Kf7fNSMneECooaSaYJ1oC/MrAwm2RtDkAgXO4/GwLEMIkWUqU8oQ hmH9xWuMi7/iwZdOBt5GTvxPTlAAgRcDQVzA7DD+wFfNOzHACErv+3PQSjWUvQWoTIlyr4NSUaKS KEPAOxMiSxJDgOPYQA9Sta2Vx3FlSiWJypQqNSJESXqBYquUjDCoTaTIw7CMLFNJkmVZBmCAApWp ktIOPO9M1ZwdIWA1mSRZECXZ5+Ml2d/zLENYliWEUQafsiaX8Scy1MmysiRXfREjAf+73QCAY1kK IAiiV5bB4+8gJnjDEACAMAzLMAIvyMrKG/+CRyUdrKQYiSxLVHMTgGEYNtDuqh2QJIkQ/07HSlZO lqn/IOJ/n52y2J/K/s8AQP37YfonCASAZdVnoAH86SxKgFL1jqCSF6ayLBOGsMoNA0mSZAmAAGWo LDOMonUSAcKxrKJGLMNKkgwAhCHKngT+5zwUMSgQhuFYTpJlUeCpLAOAJEuUyjKhlADLMhzHKU9N qYpPBEFiWUZ5ISnDEOX+it9OKmIAkSQZKGUZVmkiAKp0DVV9jyRRwhCOJYRhKAWBl0BW1uL6+5f6 F1P7H82VAQirTsVUo6n4EP9KVWXmwBCghMjAKFtmBKwYpaovUbwWoZQqCqMGKaAua/LnmggQhlWK 8Zs8onEZ/tZgGAAiiKKyKYXSAjKlQCjLEkZ5wyHrvzEBQAlhKGVkmYLM+CcZQEFdVK5opn+vagqS f6cLYBglU08Yxj8ilKsrba/sxCDL1H/zRtlTmjAMwwAona6MNRaAACVEvW+smjr1TpUW1Y/4jZIS V0iy/ykVWX09s6qa/ham6i7UhKj7bwRbjYJ/zqV+4beBfn+ttJ4ypqn/boccSGYqF1DMI8Moe2kw oVt8+Av3p5tlWZJlWZYlSVmRS6nMEMIyLMeyLMOB+kShJEmiKKo7dSibbyg7dTBq5jrwHqCgTw0s jSIEGIYh6kPSqoMJaLr6hV/DQPUaQdfkt2cBXxcIhoJf+AcNBOZYfkvjz2oG3H7IBdQAP+gqib+v idrjMlUeW1PlC+x2G4z2NDFSqHaolfUvptX0rXKyrA4pvyb4oyatNEGPqg0EQ16uQvz2wG+5/W/S C/hjzaQxmA7QxFiqow+EI4GgXHlgT91PRw3SiPoe6qAMkS2idi6om5moykzAb7P9L1pVrs0QQgjD qO+4BrWJtGEz9Y8t/x0+dZ8OTcZZ0XwICkZVQ8EQ1Z4HxkJwaqWaLvA/bSb7E90SaGfi/gdq/X4t oHghNz80MVwgGtUEPhA0I2GzALUqgTsREb9qEwp+g6NGaZqwVO14VRmCeX913bi24mqjBcaHxkr4 M9fKgf46BNaPB85Uo7RwibUHBJvCEFQzo41oCW3R6ieiXiJ8/hKoqrZiEVGwalmV8BBoyPEQHLKB fletcphsqtCazg5taJ2qakQIVcpgPBWUn4LSi4HXPQSFDhVE94oRbRPyi7YyAW8TKlG4bQvaCe3f QcXTnhNwfYGw3i8P1dhmtQuJpshw3dEZOqA6S2XpAwFWGcgMKI5PeQ2HHJyWq3GYporBXJemCbW+ KbqOhzYJBCYtwSJCYohgCwS6iQTmGqpXCx2lQfOm3MPyj2i1bdT/C6i6ZlwDCf1Og+r6dHRCnTSF fBW4VGDQ06D1JdqraRovWPugTwjoNIQ0eXDQa1shzARQrQYEI01FGL//kjWJJLU64P8XYroDGhky N1YromRk/AmbkBJpsKvC5VMvp/magH+/KW0l9FEtRzChE5x7h2bRg6MkZNofPCW8/8Jl9FvZkCgC QjszVIBQ2aNWwV8QDYqtHK91A2EdGnaZMPsdxZKFGJFQpQjYDW2mRP2JAAk+f6T8hwQLDfkMoL2Z 7U+3qE42EJqrgamyoojx3zGUZUmCwHZzivXTustgQwRGJgm9vn/vs8DeihDRQQFhIBhcBY18WCNr fYJuo2pbVKve2vYJ2JFg6KH+R08ztWKENGXIBdVjgh1HI5skpF8a0UGlR5XAVRRlSZIJAZZllXVd Ac2QZVkSJVmW1aYDQgj1Z0kCoZY/7AxMPJRN5xiW5TiWZVnlTDVZE25J/YZFY6RUN6Pqkt/KU1DU J9B2oUWoT8tSAMIwhA3MFwmjJCtEUQIgrIljOWW7RUX7JElZTuVfpg1UVrYQkMObjUT0mfJlIH2j 6SkICq3zljSdca0dhmEHh85f9I8O5pA0+STif6RS0/ya+a9auBoGA6gPjamOyG8r5MDzq2qxgQlF 4DVCGt0mAcWkGiUJrA4KDRFCHpJSox+dJgtxmwwQ8NcMKBVFSWObSDA8Clg17UjxVy9kwAbtQEAR w7onxEWoo1/jtwJDI3B9tXXC88nBIvyDmQaMBARFCxkikScHZq2aoaLOuIh/HiUr87mQngitjeay AR0LrNUKdDB59dVXAUEQBEEQBEEQBEEQBEEQBEFaGxLlLhyCIAiCIAiCIAiCIAiCIAiCtAju2LFj bS0DgiAIgiAIgiAIgiAIgiAIchrC4QpoBEEQBEEQBEEQBEEQBEEQJB5gAhpBEARBEARBEARBEARB EASJC5iARhAEQRAEQRAEQRAEQRAEQeICJqARBEEQBEEQBEEQBEEQBEGQuIAJaARBEARBEARBEARB EARBECQusPfdd19by4AgCIIgCIIgbQZ17/nyrfd+Op7W94w0tr7w4/9++MOBpIIzMznNZ3PLijUZ O0MoXffFR/O+/XXl+iPWM/rkWEnsV0UQBEEQBEGQdgaugEYQBEEQBEGiQGs3fjjn1/KQ7/Iuv/fa ntZmFylW7dq4j+01uGcy21LpAACEo9++NX+XD0jHy+66ppedAMh1W+bOXnoCIGHA9befn2Mg9UtZ W0p6Op+V4bSbfPUAAMDakhJNouazXM83FjSrYvhhOl91z6SummKFhkZP98vhPfDbioMuktF3SM+u vXMdZo/bJ2OojiAIgiAIgsST1157DQDuvffeWE989913AWDy5MlJSUkAUFdXt2DBAgC47bbbwo7E BDSCIAiCIAgSBWrK6DWgf0dwF23Z5yKpPQd0cZiz8tMSTW6XgYSqHkLJul9WFHXpNLxvCuWllseh aixLSw/Wm/rZBUFuOL6nDAAAiCUx2ca6G8QmCzHnjbn2NnuinZUavIHYmAKEfm5MWOVXJqP3wE4J BIglt2Nagqk+WCxvJOaWPTX1MkD+eVdM6MMJAu+TMP2MIAiCIAiCxJnMzExoKtrVJScnBwAWLFgw efJk5YPyTWRROgnoRYsWFRYWhn05cODASy+9NFY5EARBEARBkFMZa97Q8zvbmGLPzn27LD3Pu+KS LEmQxdr9axf/sK6o0sc48gacc9HZPZNY2XN41fe/bj9a1SBySZ2Hjr94eEcb4Us3//j96r2VPmJO zisYd8lwW+FXX273AOz8+OWdjiHX3zomUzy+/oef1u2v4llHxwHnXnR2dwfUb583+0d59EWdDv66 obrbNbdflNfIKmYllE1IMbkP7awkOUlyQ8muEjkh2+4+4f9d9hRv+OknrbT2qt//99G6OrWI3Itu 7Lv5o59Ks8dPv66vjUIg60y1n6WGQxEVZMLESOwxdsL4DEmkACDyDXXbPp79o79Yd1ilxqeXhVa8 m+nor1+vrASAI/Of/3vHy++e3N3iDZO8h61s+YfzNtamjb75hkG+5f/7dLMr86ybrxuW1iqLyREE QRAEQZA/Ls1IQE+cOPHzzz/PyclRFj4r2eeJEye63e6wI3US0DfddNOHH35YXFwc+KZbt25Tpkyp rKyMWXYEQRAEQRDk1EYSGjweUYkYZb6hvt61/9uFK4qElJ6Devl2bd20+Juk26cOdHA2VnZ0HzEo tW7TssLVP23t86cR7P5lv+2ttPU8+/xc7/EyZ056Ip+ak84dL5azh184ND8/P5XsnvvV7/vljiMv 6tWw7qeN3y3tcMeVXSkFgPKV35ezjozOWekpCWx9vRgtHqYAACS5R764bn+R68KhtGzPcTG1bx5s OsEDUCo37P/pizBpr+vVZcTYRMp5ipavPsQ7u3ZKt24FAC7BmWTm6wNXopo4mVISWcGRSVTWiqG0 kKfev+ZaVk7XFBuslLnkl/CKX+LM7dFpT8UBj3PgBWP6ds9yiJu+CZd86oDhFxTsXli4Ye1upnar C9LPmTyuR6pQU+ORWq2/EQRBEARBkPbPm2++qfv9XXfdFWsJygroN954I9YS6uvrAzlo5ZuJEyfW 19dHHqmTgBYE4dprr/3ggw88Hg8ApKWlTZ48uaKiwuC1EQRBEARBkNOLYMBIKfWVbDvIQ+Kwyddd 3sG1ofo/Xx0pPMAPH2hOH37VJHtSIi0VtxUuq6kQrFYLyzIAvjqv/axRV4xymFmpoUv3TMuGYimz 37AhOYKnpqjwgA8cIy4+b3hGnXl34aLDO6pNvRwUAMDa7/oHpvROoCLvrZcpBal655rCchGAJHQa PLhzAtGIRtn03jnM4t0HPENS9h7xOQd0t+/epPzuOxEprTB8YJ+BHaXD3yznwdb/8jG5zFYaWdXw z2xkBZkGt6Q9tG7Vm/9YBQCQfs6t1w90RBalVqp+50f7wiueMLlnr7x1qw94ks8YOrgzeGp2F+q1 c97Icb32Ltr9wwoA58irz8lmGmo8Iu6phyAIgiAI8sdCyRpHYnwhc1gJgT9jWgpdWlqan59/5MgR AMjPzy8tLbXb7ZGH6SSg6+rqkpOTr7jiisWLF1sslsmTJwuCgFtFIwiCIAiC/FHRxIFUFtwNIoA9 NRG8Lh9rMwN4q30c1K79funGA+VuQZIpACNTwiV0PveCgiVLC9cvem/98l4XXHl+n2RK/dsaU9Hr aaivcYsArjWzn1vjL97TIJucBAAgrXsHK19XUefzX1ys2btx8yEZAJJtg0b2IAIvU1D3viC2jn0y YcmOgydyDjUk9uqTxuxSzpJFXWnNlro9S7/f4zN3n3RRdytfwmsS7MGqaj/LvtItv/4aWkGWAepf mq0cqu4BbUrrkeO0aR49VIvyV6q2qswVWXGOA3XPZ5n3NLjrdCW3Wjv2PyNx99Z6yBoxogPrcdWJ uFM0giAIgiDIH4077rhD9/vy8nLd7yO5/fbblQ/vvPOO9k/je2B4PJ7Avs8AcOTIkbVr106ePNlm s4Udqf8SwpqamszMzGHDhuXm5jIMU1NTY/DCCIIgCIIgyGlHSLzIJiRwAO6KekG08y4XD5DitLq2 L1q2u8ze7/LbzkndNfd/v9cCEKBscs+xU3uNKl731cJVu1duGdbv3EQKxJ/QphRYu40DsA6cOGVI KgMAwFjSE9laAAAgDJF4nxy4tKnT5X/+W3K600IAQGqoqvRRjWhMYqduqXT1779X1lm79s1k9/lP I6w9UlobJ5Wu+3l7A5N3yeVnJor15b7gThqaxd4hC7/rdi5dtrs8vIKBXTo0e0CnCwIlIPs8VI4o yl8p/YpzYqVmzw/ddrZxrFy7c8W2egCA0t+W7jpjXBauE0EQBEEQBPnjUVZW1sISwra7aMbuF4Hs 88SJEwEgsB/0jTfeGHakfgIaAMrLy/v37+/z+aqrq2O9PIIgCIIgCHIaEbIFhynrzG62A3s2fPYZ n9Owp5hC+oC+qWSnBADmBCt/fOuOagAGAOT6oqU/HrTnZFhcMgCYEhIdCWaLwwLg3vPz4iUZKb2G dOvXzXpwT+HKjY7eKcRTXSH1OPcs1idrrqYNVamvpqw0XDT/8mzO2aVjwsqth+rNvft3MAm7A3nr 7EhpnVXr52+sBZKR6d2x4ucGkpFH9a6o/SxLkhxRQc020YHXFco+d51LUD7qF0UppaYsnYqbiKTd CUSvndOhes2vvxfLiUOuvbD+yy+2Lf69/y2jUkgMXYkgCIIgCIIgIZx55pnQrJcQBrLPytrlwH7Q kUVFTUADQElJSawXRhAEQRAEQU47tHtRAJjzzplwDvl1ze7CXUxCh8GXTR6TzTTwIwq2Ly1c+9ln OQVDBqau2ApAgTUxdQc2HNgFYHJ2G3vlOdmsVJ3Uc2RB0dLCQ5sLfWf3H+vsOvaqcdblawuX/yqD OSl/SH+blTSEvAawiUBY+Z0CcKldOpi37pXz++eZ+ZLgkmYdaYXCr8oAgJZv+uUHAEgZPWUwCSku 8jNx9BhRsDesgjS4SFqbXtaJ3kOLpRQs+edEVtwjaw/SkTyrfttHPx8W2C4Tzu3Tr+74it0rNi7e 0PeGoUmAi6ARBEEQBEGQ5jF8+HBo1pLqa665RpKkwNrl6urqiRMnsiwbuZiabNu2reWCIgiCIAiC IKc1xJKSlWql7oqyOoECAGNKSHY6rByhsuCpq6nziMBYk9Kcdo7IQoNbsDhsYlVZlWBKTnXaTQwA lXz1tTVun0yJeiAVXBUV9SLh7ElOh83EEKAS766ucomMPS0z2STUllY0yE2LZnZmptnEmtJKr8mZ lWoDX3VZlZdJzMxwkIaKslqBRkorW9KyUsyBIiRXVb011X9FygavHvJZr4KB3Tv8YlB3RbnSQgAA JEpRykmRFReATUjPTOL46tJKrwx67SxbnBkpNsZXU1btJQlpGQ6T5K4sr+MxBY0gCIIgCIK0U0hh YWFby4AgCIIgCIIgCIIgCIIgCIKchjS2BQeCIAiCIAiCIAiCIAiCIAiCNBtMQCMIgiAIgiAIgiAI giAIgiBxARPQCIIgCIIgCIIgCIIgCIIgSFzABDSCIAiCIAiCIAiCIAiCIAgSF7iWF0FVZJlSoLIs EwBZbvqN5cgpB8MwFIBhGAKEYUiAtpYLQRAEQRAEQRAEQRAEQZD2SIsS0JRSWZYlWfZ4PG631+3x 8qIgSVSSJcB11aclBFiGZVli5kwJNmtCgtVms7EMwzAMpqGR5iHLMt7GQAyC2oIYBFUFMQ5qC2IQ VBXEIKgqiHFQWxCDoKogxmm32tLMBLSSehZFsaauvqqmVgYmKy0lJzc7McFut9lMJhPHtcLaaqS9 IYqiIAgNHk+9u6GysvpYaRUDcqoz2ZmUyHEcpqGRWKGUCoJgNpvbWhDkFAC1BTEIqgpiHNQWxCCo KohBUFUQ46C2IAZBVUGM0561pTlpYkqpKEq19fWVVTVmk3nIwP452Vmg2YsD95U+XTGbzRaLxeFw ZBPSo1tXACg+cWLHzr01da60VGdyYiLHsZiDRoxDCBEFwWKxtLUgyCkAagtiEFQVxDioLYhBUFUQ g6CqIMZBbUEMgqqCGKc9a0vMCWhZliVJLimrqKyuGzKooGunjpIkiaIYD+GQdkjYDYbszMwOOTkH Dh/dsKnQnezJzc5gWYZhmDaUEDlVrgrMAAAgAElEQVS1EEShrUVAThlQWxCDoKogxkFtQQyCqoIY BFUFMQ5qC2IQVBXEOO1WW2JLQFNKJUkuKS13uRsuPO8sR2Iiz/Nxkgw5JZAkSZKkTnm5qc6kZStW l5SW52RltM/tZpB2CCFE4AVCCD42gTQJagtiEFQVxDioLYhBUFUQg6CqIMZBbUEMgqqCGKc9a0ts CWhZlqtqaitrXOefO9pus+HCZ0RBFEW7zTbmrBFLf11psZjTU50sy7a1UMgpARUEHvClpYghUFsQ g6CqIMZBbUEMgqqCGARVBTEOagtiEFQVxDjtV1ti2CpBeetgWWXV4AFnJtrt7TCbjrQhlNJEu33I oDPLKqtEUZRlua0lQk4NfLyvrUVAThlQWxCDoKogxkFtQQyCqoIYBFUFMQ5qC2IQVBXEOO1WW2JY AS3LtKSs0m5L7JCTielFJBJKaYfsrIMHjxaXlnfMzcGNoJEmIUB4nidAaJQbdNOmTYupwDlz5rSG XEh7pHFtQVVBAjRpWAYOHBhTgZs3b24NuZD2SOPasqvc/llhtotvOlp2mMVrCk70zmiIg4xIu6BJ w9I4Pb6/s3jQ3e7MglYXDGlvNE9VKuuLP93wwsGybQzDnJE9bOKgB532zPgJibQT0AchBsFZM2Kc WN3QB+sf4EVP4E8zZ7t56H/iJJvRHKEsy4LAl5RVFPTpSREkCrIs9+nV7UR5Fc/78C4FYgTe1/Td uQkTJixatMjhcIR9+fbbb/fs2TNuoiHtjia1BVUFUTBiWBBEoRFtMTjzBwAXz31WmN16QiHtkWYY loSKTUT0AEBDWq+swv+1vkxIu6QZqvLphuduu+zR9x5a+dp933fv3uO9lY/FQzCkHYI+CDEIzpoR 48TkhnjR88T10wP/tMnoVsdoAppSWlldl5GWmpzsaPpo5A+MIzExIy21qsZFcZOW9oRcV/jZSw/f d99fHn1jbU376RlCfD4fNPXKymnTpuXm5l533XVhXw4ePHjs2LGtLBJ/eMGTD7+9y9vKxbYQ4fAX /3hsdqGb8ocXPPG3N3bEWbz22QgGtOWkqsopg3j8m6cffKUwhlAioG/xEyquGDMs7YnY+whpLRrV lrCZP0Pg6qGmScNMM2+w/vRYwp8vNA/tykY7uBU4OQa/9WhJpBE8d9Zn7z7dLu1PswxLxv6Pu62c zvCu4oF3ct5qR/HamK/bVmrQto4gpqu3t5HSLFUprTtS0XBk4ZaX529+PsWZVtNQ1mI5onkW9Djt ifbsg04fmtL59mZDdGmHs+aTgFiy5IUXFpfgm+diJHY3REGq866t866lIMVPLjC+BYcky1XVtWf0 7Kb/LkVf0Zy7H/2+JvTLvBtf+/eVOS2whL4jy1fxg8/pnoB7OZxCMAzTsUPOrr1FmRmp0V5FaPvn w2ZnSuJ9j3D5XbTfB1RLPHygbsbTDVVV8ktv6Jzv3fv+k69t9jEJ3c7tWf7z5rrQX7OvePKRcRkt eAkiX7x+s9BvaCebMcXz7pjzzJxtbpnre+fz0/tY1a/F0h9femnz2U88NCZVKUcq/3nGC+uGPfZw i4RrJlLFusWrxfMenXlhJgW23aRlCAGe9zVpG+fMmfPUU09dd911ixcvLi4uBoAJEybk5ua6XK55 8+adDEFPCo0pHps18qop3s62ZnYdda2f9fhHBwEAgFjTuw8ZP+mKYTmWdqMIhjCiLc1XFf7wgmf+ vcIV+uXJNiZhyN6jK+e+s2Bn3t3PTutljfjVvf/neZ/+VFjq5ZzdzrrqxssHprbazKOF+tbWGDQs 0dhXs7bSe3x49tWNHURd62c99W33vz4xocNpPuGLqKlYsvi5l/dc9MwDwx0x6HXLxkIciUlbpp1n rqqnC9YKX6wX/nuTzZlA1h+Ib5jePonSmy2JNDTnyp6yPT197c/+xGpYiPsYTcg7NPSlrqvv67r6 ngMjX6/LG5W57SNX7vDGTqO16197+iPXxY8/fGFWhHGJ9zgKKb8FjiA2ObUhCgBAwvD7n7m+8yns hprng87tOfWXzV8kZ1llKm3Zs/KC3rc0fU6j2tKW+PvUOvDuZ27ppXai7Nrwxt8/3Ev63vX89N4R Qc0flfbvg2I1O61rptpt8HDyifusuT1OhaIgVS6f9dwPHe5+8truVgAA/vAXz//3wNjHHhhrUNTm O6lTZB7dDDckiD5eEABA4OL7FKmxNqdU4AWXx5uRlqq/84K5+59mz58/f/4nL1+dyXW9481P58+f P3/m5dlsC3ZzkGo2ffT+t3vdcgvKQFrI/v3777vvvv379+v+GY3M9DS3hxd4gUZZBF3r46Gmuv6Z R/ifvmUi4L//xvXYfaS6qs4bXfuZhCH3vfTCX664+Z+zZs2a9a+HL0zjOk55euasWbNmPXZeixK8 smvXN1/+dtj4sgBr32kvzHhglOPkZ5VjQGqoamBTOqZyDGdi4mQujx49+txzzx09elT3z2h4vU3f bf7mm282btzocDgCm1spH+bNm+dyuRo99dShccVjrDlnDuiipnua1YNc6gWPzHxl1r//ec+51s2f vLP0RNvdS26eqoABbWm+qpg7TXy2zY2JBuorXvH+i2+skdMTdf00de9a8M5S4ez7Xpj57ycmd9j5 yeylxa3Xo6H61rbEz7DoUuE5Mrvwrs/2PLW76vfmlYDo0JKxYJj4GZYAFxdwVfUUAGQKizcLI3u0 q5TPySJqb7Yk0tCca07IjbP9OQmqAgCW7TMt6x5iGooPjHxFZm1dV91d3nsyK3qcB39s5Cy5auvy Y44M19o1kU463uMorPxmO4LmyMmljnvo5VkKz1/X1dyMq59ywa3C3hMb/v715fd+Muzzjf85Xn4o PbFjRmL+8fJD89e/dO8nw/7+9eV7T2yIdm5j2tL2cNZ0smfFvgZ1Lkjrtq88lphuOW3N5unpg2Id zq1rpk5K8BDgZOYT2+Osub1NhRqBTRt21Qh2w7ebaygA0NrCb9dIw64ckW5Q1OY5qTaaR5+ciAUA RNEriKIgiqIY30cBDJktSmmtq96ZnMRxUXuVYVgAoCwhQFiGYVkGAMSy1R+/8eFP28t9lox+F9x8 9w0jMjkA2bV9wavvLd1xrNrHOHuO+9MDt47K4MTSFe+/8uHPe6pFJrHTWbc8dH3SNy++vqnOU/i3 aV/lXfTY09d0Nonlaz565f0fdlVS5xkX3nb/zSMzOF/RnAdet996WdXH7/9W3u//3nlskL21WgYB AHjrrbcA4OWXX37ooYeUD2az+a233poxY0YjZ3Ec60xOqnXV22xWonfnpbLB0yAIuVZrw9z3hV3b E6f9mSQkAgBtcLvf+g+/frUg0+MNDaXuhj5NScgQBggwLAAQhmEZhgCAWLl50byvV+2t4s2pPUdd ed3lA9I4ANm99/uPv1hVVFLHs47OIyfdcvXAVFas3PDFh1+tOVgnMgm5g668/fLEX2d/sqPeu2fG E0uzzp7+54s7cGLVlkUfffH7/hrZ0eWsSTdfOTCV4w8veOET69VjaxZ9sb6qx/TnpveIqVnDLjrt +uEpXh3ZQKzYsPCDRduqvG6XVwaApCH3PnlTTzZSnpCyI+rOunZ/O3fhmjpefP+ZJ7NHTvvL5fmm mOQ1yKeffgoA77777m233aZ8MJlMn376qaI8uhBCeN6nqyRhzJ49++23354wYcKcOXMGDx4cw/Jn /vCC59/3nT2wYdP24tp6OX3o5FuuONPJQjQ9CSKWLn9r5k+J1z5wqeu9F5b3fejRi3M4APDsev+Z D8nNT90SunxDrNy8aN6iVXsreZLQ6YK7/3xZR0a3fP7wguffc48oaNi6u6yu1pfY74rbpo5I9+z4 /M0Qxcs4HqJjT120c8ar5dc9e3cPAELrd3z53/kb99eIjq5jrlWrYwzGlNRp6NndF80+WiVCDme4 Ef5600Bnq6UDmqEqYFhbmq0q7cSY9FXUipgSswuueaifY8VLRXqP4QolG/cyZ942Ii+Bg4R+F1/R 8x+fryk5/+qOau9R79Hf5n347eZSMSGv/9CM4I78OjJEWiTHsQX/eLX8umfv7svpWKFrLYsidTgz XrOguBqWSL7a/5JEBQD44dAbvVLPiu1kXcXQHfKZXNQ+iuyONDbcvFySekj/QlFsXSNew1v0yXNv Hhn5t4cuyeW0n43VWH+ANG8sxNbWOsTVsCjIFAry2Z93iABwopaeqDHwrouIMX5Gg54diNJ36oX1 VEvX7+gamef/J543xL1uy9HKWilzxMRLs3d/91tRVW09k3/+zX86v4uV0VUSg95KWRlPwyONSxK2 63vASIsXdu4tV/jef7v8umfv7lGqbx5bzElQFQDwDp1h3vmaZeuLYubwA6Ne67rq3q6r763pfLHF VRz9JLF0/e9VPa+6IfnrecsPj5/aLVhj6trx+fsx+5SnLto5U8/+RGpUf9PuyDjkH6+WT74r/6s3 ii588v6RTgIg12164x9fZt7z5NXJO/WHsOyK1JCmIg0AAGAYltG8v5w/7HdDEWqgM4KghaFRY8Tb B81d9+yooWdnZ+RJssBLvsLiXyRZGj1sLENYADhRcXzuumefvvwrvVN1tSWa948aFYSUaDxwzeR0 vZWmMDa9YIBn1e976/sOdDAAclXhqsouI7seWeZfXhSTx9S3gYYnStFirValPfoguXL5zOd0pzDR RmWoW7lxnGfxXOPD2fjwPwmBdEyRMESxId697z/1Pjvt6Zu6WwDE0u9ffGnHBU8/MDypxVOi9jlr bl9ToUaxdrnw0k7PL/n1yOCrcsuWLzmUf+nUrlYpHlod2kIh82g5IsBzGywnBuJkWD5Ydz8vBRPN FpOFF7zKCmie81pMljmr7wz8amatNw+b1dKaqBhqElmmta761CSn2WyOtqZVQfmVAqWUgnjk8+df 3dj/oVce759UVzjvny8/b82eMaWTiVizzjjvT+c80DsDjnz15KNz5o8edE+XfZ++t9I5/Y1Phzk8 J/aXWNJSU295YOKOB3+/8OUXL85gAahw7OuXXt3U+8HX/14Am9957D//zur8z0tTKIjHvvtwx833 vfKnjokWS+PSITHzyCOPzJkzp7y8/OWXXwYAu92ekZExbdq0xhvaZDKlJiXV1NVkpqcxegY6y8KV evlDA4fnbNuQuHFtzaH9jgf+Dyh1zXxWLi+rF0X36POKv1rgNDUrdhRLfnr74529bn/izl6J7j3f vv7O29bMhy/J5RhLRpcRE4ff0j0Fji/9778+WzKo7/V5h7/9fHPStU/PKrB7yo9WmJ1O59W3ji96 YcNZD/u3zhBLf5nz8Y5ut/79njNg14KZ77+f3vH+sUkA4onfvt531Y1PTM5JMJshpntgvoOhF01m QU+2Lr7N8z7b3eXOJx/sLO385Pl5zK1PXN/dIpb+GClP4H5flLr3uuzWGxqeea1q6lN3xiPi8nPH HXfMnz+/qqrq3XffBQCr1ZqamjplypTGzqHU6/WCgXG7cePGZcuWjR079qmnnsrJyQGAmTNnKjdy s66ZbUrvLlTsK/3sDv2ThaqN21IefeDxLLZ+x9wXPpjb8fG7hiZLUfQEAAAYQt17vpz9nXDBn6cO SOVcY7t+8+36ExdcnseB59CavVy/27qENqRY8tPbH23tdP1DL/VPESvLxRSTWPJ9tPKF6s07nI8+ 8H85nGvre8998tXugmn9+oYpHh+qY1C8M3AtWThalHDvQy91t1SsfX/mh3M7PnHX0GSjM2LK1xxc 81uR1PGyHHP0wRLZCK2XfYbmqQoY1ZYWqUoYbWFMVJikHkP7gHgsytuLZVGQibo4mpiSUkx1xTUC qAlo/sh373xdPOiu5x/rwZWseO8/m8R8pUY6MoysjrBIapQuu/SsEH9YV4ft8Vk6ElfDoiBRgSUm ANhR+euuyuXKl0dc247X7+6Q2CsGWfUUoxvoD3m7oN9HOg4i0rwwTJQL6do6PcULeA0uKf+M3pYc OxP22QhRBoh0sFljwejClajE1bAofLBCuHOcedVecedx+dze3IzFxp5S1I5xpnSprh3Q7btACbqq xUT6ndKf9AuvXLcx4dH7H8+ix759ccb77/S98dGHrksRD3z+/Gufbxjy17NSdZUkyZi3UiCOkEhD LFkyI4pzibR4YefyhxfoNl3QPLaUk6AqVBYJw/H97meqd5h3z2GrCg/3uz/n0OcVPS6XzdHfpiMc X73GfcbU3j0Sj5teW7bf3bVvgmpYiSO85Y34FCjeqWt/9DRKJw4BAC5z8DDnsjW7akeMdBK5ft+q w/YBE3Kqf/lvlCHMRMrZWKRhCCMjqEWhUWPE2wdVuIozMjK/K3pVPRcAYMWRT6hMKYVRnSZWRLtj oast0bx/tO+1NNJTelrERnqr0FYA58DhzveW73INGJZMpIrNq+vOuKwTfEL9djMmj9nCiVLUWKs1 aY8+iEkZoDuFidbXEfFGbtKtlcaHs/HhfxIC6Vgi4ag2xEivNIv2O2sOoy2nQo1CnIOuHP3jG0sK hw3buApG3zXIKZcsiYdWh/ZB6Dw6zD2V/NBCZ6dHnAwLL3mnXzpeczit9xYLoggA9d7imy84R5u8 fvvbH1pWiRAMzTJkKrvcDYmJdkW4RlFrQKlwfOXyE/lXTjgzhQU2pd9lV3Y68dvyYzyllE0rGNYn 00KIJXdg/1RvaS1PWUdOirdo1Zo9VbI9u2f3FNZfFFUvKBSv/PVY7qWX909h2ZSCccMdh37fUStR CjKTddGUc7ul2MwmJtYNJpCmSElJmTZtWnp6us1ms9ls6enp06ZNS0lJafwsAHAmJ7rcDTLVvzFr ZZgOVkvyFZMOjJtQTolcUVb7f3+p/b/75fLyCmDqrp9mv/raNIvJ1Kz1a2L5xnUVueefd4aTI1xy z/Mu6FCxbv0JEQC4lN79e6RZCGPJ7tPL6auoF4BNzEz2Hd685WAt2DO7dHJGWAixfNPa0sxzz+/j 5Dhnr1H9E49tLHJRAJCZ9LMvHdnJaTWbYs3M6V1URza55lgF5PTKtRLGltcj1XP0mFuOLk8TdT8Z JCcnT5kyJTU11Wq1BoxjcnJjvpsQ4vV6DN72nzlzJgAoN3KLi4u/+eYb5XtTevfA/0eB6ThqYAYH QBJ7jOzDHdhwxNNoWxETV7Xqgw929bhx2rgOZgKMo/c5Z3g3rj0uAHgOrdlrKhiVH5Z/Lt+0viLn wksHZdk4syOrQ4pZaqwvmPyzhmaZCTCOjmekiVVlbt2BElXHSMdzx/RwsIw5a9C4vkp1DCBW/fTS g/f95aHnP9xsu+DO20elMjE1QmvSDFWBWLSlBaoSQns2Jpac/h35bcu3V4lUdh9e9d3GOsoGn3kX y7YWuvLOO6d7IkOsHYZfcKaViS4DiS65rhUCAKM63BrE27D8fnze47+PfHLlWf/bcf9HO0NWE6wq nh+jsDqKAQC6zRWtjyIVKdK8kOgX0rN1jXkN4LLOvmHaJOUBB+3nEMSqn2b87QE/f3vxx0oRIPoA af5YaBnxNiwA8PVG4f6PPDkpzJcP2rcdlXYXG9N7zRiXo9Zdp+806PS4nt+JWnjeqEEZHIApvXsH q6nrWf1SOSDWnDMySd0Jl9hIjzRzpDfmXGKyeC2ItRrhJKhK/boZ7g3/9uz6hJeJd+Qs2dmbO7jw 2IAnGss+A3gPrtgoF5zd2cplDRvpKPp1p6uR9jbsU3Q7MZoNicSUMWh4yvE1u2opyPX7Vh1JGDQ8 qzqGIWwsNNUYmcffC38FsqER1LzQqGni4YOq3Cf+/dOtL3x/7fI9CwBAIA0mCxP4x1kYzsykJWf1 zh1hMkXNXehqS1TvH+V7LY32lI4WNWnqKZM2cFT68RXbayiIpRvWefuOyrdqbqrH4DFbYaIUH2Oi pV36IP0pTLS+1os3Qoh1ptmGgXRMkXBcbYgu7XjWHEJ7ngqZOpw7oevhz2Z/eqjrhHPzzHHWap15 NECYe4pLHiZ+hsUneMtrtyn/Kuq21zWU8ILIC2JdQ0lF3fbATz6hlXfkaDojTymVRNHt8aY6G4uZ IpHqK9xscop/sDMWZ4rZXVEvAbCuvT/OW7BsT7XMMUJ5udSRAnAdr3ziyYT582bdOzdh6KTbb7us T1JYaa5Sl3jwvftu+pAAgCzykF/vlQGAmFIyE9v17runBRwX282b5GSH2+OVRJFynI7qyzIHkNMh z3TOefvSMoTflqSXFAOl1bkd+ck3pud3Skx0NPKAYuPI7movk5isKp7JkcQ1VDVIAKz74Ipvvl97 sJayjFBdJWdTAC7ngrvvsX33zfvPfGMvuOiayed1TwwvrcItHlv4j799SQCAigLp0OCTAIBwyelG Xo8ZFpATon9RHdmY5M7ZZOvOIw29eoiHdlXa8nITmKjycI3X/eTutxbt5ZM6EOB9PoN7bhUXF8+d O3fq1KkAMGfOnMD3QsU+5V5u9KuwVrtJtURJZqmknqdR24oAUNfWhYtkyJuQYlVEIwk9xvSTPl59 9LJM35oi66C7OppBLP35PzO+PioAmLtM/uulVR4mST0coJG+IACEsyea/T8QADnKrC2ajhHWnuS/ EmtLsUhl9TwF/+rTEKn+7y9na9ancakXhL8wLaZGiAcxqArEoC3NV5VQ2pkxCYEkD7rxltJ5X/77 8QWQ1HnYoE4JJanBhauSt8bHJDrVlKbNaWdqo8rARJdc1woBNK7DjShhi4iHYVlVPP/Lfc8DgCD7 tlX8HPZrYflPE3s8yRDDFaA6igGg31zR+ihSkczucPMS/UK6tq4xr2EMznnWtD9fmKNs3iSULH11 zmGIPkCaPRZay1PFybAo7CmR95fKN59tunwQt+GgVNtgIHOuGePR7YBO3wVbRK/H5QjFaMTIqBpI CMOarf4LEYYhMgVq5MRGvVUEjXvAGCxes8yjceKnKonDHhZOrBOr9nj3LYKirxhbhn3gk02cQ91F v21x1fCzHlnDAJUkGZZvrRl8dmqUw436FN1OjGZD9ODSBwxP+2nNrtphfQ+sOpIw5Kpsxv2r8SFs LDTVGhlTogVAmxA3NoKih0atQyv6oK+2zJo07vZ+nUZu2rcs91geT12cxX8LmVIACnbOmcOduWPr 7pUV6xIsehPwKNqSEMWzRPE4YaFsbIGrjqkPrzKb1n909ncrt1YO7r5+ozzg1o4WzYrdWDym7sEx TZTibUxCqt2efJDeFAb4KKMy0q2EEetMsw0D6Zgi4ag2JHS9UTyetG93s+ZQ2vNUCJikfhePsM/Y WHBb3yQm3lqtM48GCHNP8c3DtLph4QUvL0a9+aw9LIbrGsBQArrB4zWxJouBHS6UZ4WVZbBMQkai dLzSI1EbAyB7q6v5hDMSGOre8d6LH5VPfO6fF3Wyifs//MvfDwCllLLJvS6645kLriv6buazM97O e+2vBRQCZQEwiemJ5l5/eu3ps7TPU/n2UQpAoEnBkOZRXV09Z86c6urqlJQU5c/Zs2cri6AbP9Fi NptYU4PHa7FY9O69UABgGCYzM5MpGHDA4WC2bWJZVjzn/Iz0TJvNRhgClDYvbGTsaXa5rMYrg5UB kAVXnWjvamfBW7Rw9ldV4//6wJgOVunIF/+cpezdziZ1O+fa+8+ecOjXd1+f/Wn207eFPm/NJKTa TV0nPf2XIQ6NOPxhaNIJMbZkO7gr6iVIU+yQ5Cp3g91pYwBI2EVvMOnIxiQVTLl63YuvPV2Ynpyc P+7Wq3pYAURdeZqq+8mhtrZ2/vz5tbW1yk055c8m79H5GnnVZARFRUUAoL2RCwBNP0NExfoaDwUr ARDdlR420WEhUdtKBqBclymPXn5izusf/Nj7r5fkmQHA2uWsQcw7q4t68/vsQ+7N4QAgY/T0JwfL AACMze6qschltV7lIgCN9IUMYDiC0T+MSm71SpK72ssmOoKv4eW0UiU35cljbIRWo3mqArFoSzNV JZT2YkyiSJfU59LpfS4FABCOLXphTf6YzMDm7qw12SJX1PGK5JK3zis3IgNAuOQ9AtfQsUIK0WWO TQmbJH6GZW/1aiX7HI0GsfZw3ZYuyYMMihpFMQD0mitaH0Uq0s1OZ5h5iXohXVvXqNcwCGNLSnH6 17KIHqviVaJ7nGaNhRZzEgzLiO7sgE5sRT39coNw+SDTKzdZ//qJt8LA6u3AEVHtgF7fBX7X7XHG Fq4YzTYyrW2dWscDKsQjvo+rqiz+9vvLLr2IMJw5d5Q5dxQASO4SqfZw4KdoJ9K6ncuKnOf/+a4x GSwAyPWFH/x3+fqykeOjZKCN91pkGzZirHRg0/qPSP9x3Z4y66ajSUOvzuKY8hiGsMHQVGtkIjEw ghoJjVpEPHzQ7pJ1vfiOu/Z+J4MwbEzBwfoNJjPjzxRQoBQyEzruWrv73C43DRp7AdG7CRpNW8ZF 8SxRPE6Iv7bXu2IcthGmvm94yp9JPvPsjl//tGZryRZu8B3ZHBwO/BSTx9S3gcYnSi2wZsZprz5I ZwoTbVRGupUwYp1ptmEgHVskHM2GEEIIVe+9yp4aj9RoWxun/c6aQ2nfUyFgbMlWzpJoIY2I2upa HUbQPcUnDxM/w8ILXiuXq3ymQAWxzifUAoDF5DRxDqJmr1s9Ad301JBSWlfvTk1JinUNLJc7emze 8cXf7qiRqFS3+/tFhzPOOivXRCV3rZdNdCZbiFix9ec1VSIAUE/xrqLSBglYe0ZeplXmeRmINclG a4+W+yiVKXA5o87JOvT55+uKPZLEu0r37znuidsTv4jKwoULlezztGnTlLxzdXX1woULmzyRZdnU lKS6erfuvQEqy1SWAQAISc9ILyjoL5xzAb3g0szsHKvNyjAMUTa9b9YWHFzm4OHZJ35ZVlQnUbn+ wG9Lj6cOGZzFUcnj8rH2JIeFiNW7Vm2pEQGAekv3H6r0ysDYUrPTzFQQKRBLopXWFVfxiuJlDBqW fvyH7wtLvZIsuCuOHCj1GhI7sowAACAASURBVFM8xnHG6B6elQt/2F7q5nl3aeF3C9cJfcZ0t0Pk RfVkA5Brd/x+qOPURx7/v0f+ctN53RIIQBPyRKl7FAnF0uUfvv3ZphoZqPfgknfmLC5yy0Bd2754 +/2fj/Gxt/ySJUsU4zhlyhTFLNbW1i5ZsqSRUwgQn89LjN3MDbzPV3sj1xj02G/L97lkypduWLpT 6jYk39poWxHOmpTU5eIbx9Kf/7fkkJcCAJg6jBxh3/P9kiLHsCEZHAAAY01yKiRZzJkDh6Qe//H7 rWVeSWyoPF7iZmLqC4AwxWuiOsuW73fLVCjd+PN2pToBtFI12ayxNULrKUwzVAVi0ZYWqEoI7cWY BAh2AQCAoihi/bG1Cz/43XrOJT0De4UCl9m/X+KxZSsPN1DKl27+ZVuDcoqeDHqSB9CzQk0SooQt Vps4GRaf1PDpniei7RMVYG/16sZ+lpW3RYuiKMo0iiWPQpQ+0ukOLsK88FEvpGfrGlc8rVKFKliT RBsgzRwLbaEqEIthuW6k6eqhpneX8QvXCh+uEO56zyNTuOns2O7ORe8Onb5T0VetSMVgmmtkYrNO BrxVbNGIQU4dHwQAe3/5MPBv/9qfDu3e29QZctXWZYdTR43smqaYz9TcAed0rl21qji4PKnVfEoU YxW1Z9m0ghEZJ1b/vuq4c9jgTK6pS4fJ2arK0NgIigyNWkNn4uGDZCp75LpD9Zs8tFZmfawZuND9 NxgT1Hvc2cldzJzVxEYamajaQqN5/yjfh4ayMfVUo8FDACax91ldqn6ct942bEjIy4pj8pitNlGK K+3WB0VOYaKNyki3Isc6nA0dfzIC6Vgi4eg2hE3KdXgObj3ippQv2/zzVjXZ316D2wCn7VQoZlFb Q6tbJkALtSVOhsXMWhf+vjXwb9HqXTI18aLAi4JMuUWrd2l/NbOt+RKxpptWkqSa2vrMzAyO45pe AU2Bqvs2A5t72V/vqX/rrftuqBDY1B5jpz18Vb6JAtfvukk9Z74+/fo3kjudfdWEAc51lMpC6co5 r/7jsFtmzCldR99694BEIPKASRd8O+uZW5fnjn/ihVt75l3+yL3eOR89estMH5DEzmPveKR7rj24 4Lp12gMJZeLEiQsXLpw0aZLT6QSA22+/feHChRMnTmyywU0mU3JSUllZeYdsSed5Ac3Zyu7SZovF 6/VxHEsIIQxhCCEApHndymWdd/uNDXPn/uOv1SLj7Dzi2jvGdzAB4c6YcFGXdz9+4oGPHblDx5/f J2krAJUqN87/8JXjDZQxJXccMumGPgmEoX0vHr3s/VceXp815t6HJnXJOf/Om/hPv3z54Xd5IAl5 I66d3iXLZkQO4hxy090Nn3/x6Us/1olgTu02dNKfryhIYqg74qJ2KVI2AGASnLRo7jMPzVWqNWTK nVOHp+nJE7AJ+nWPglh3rGjPkfQGGZKE6iN79wp9fdDD4qk4uHdv2lkizYt139+LL754yZIlF198 sXJHbsqUKcqfjZ/l8xm9l/vggw+G7WNlFNbS+QzPdzMeOlgrJXQdc9MtA5OIgbYy51940/nbZv5v cd9HJna3ES5r6KjE7z6nV9+ermM3TXnjp1/n+fjzFx5+T4KEbpf9+Z4Lc2PoCwBgHCGK1yH6kZbc 88bQH19+dG8Vn9B1zI1KdZpHTI2Q12oK0zxVAcPa0nxVCaO9GBOV4Jh1MsAfmP/sK6triDml86Bx d91zdq6258z5l9126ccfvv7o99TRYdC5Y/P27VdqFClDp8RIyWmFWpCeFYppO64W25k4GZbFB2bW +sqaFP9A7eboP4pVP//7Ef++HQnD739mqo5iREe/j/QUyZQQZl7uHhPlQvq2rlGvoVWqEAUzgP4A oXzzxgK0jaqAYcNyyQDu642ioC5/KnfRbzaJPXNiXOSv2x22KH3nh9h1VUvP7zTTyESTSpcwb9VF L/0RUzRikNYLWuKtKgDQ87ybjEqjIJauX3Ei55wBaYGQmXGccVY3z2crDp5/VuCb1gpQ9TUqehzC pJw5Mv3Lz/ZkXzE5nYOmrEq4nK2qDNF0VTc0ag2diYcP6ppRcOTQ4ZzsgiO7imtqi4ef38vXUMUQ YuWSE5hUWaY+oa5z7/TXf7tXFASHPe0fly8KOb8RbbnkOn3vHy0qCGnbmHpKz1vpHMYk9BzTy7K7 dtTANBYguHw0ihLqE+1gwxOlmGKt5tJ+fVDkFCZaX0e6lZyc2IazoeF/UgLpGCLh6DaEyxg9+YI9 H73x2AqS2GHwhed327cFANpvcBvgtJ0KxSxqa2h1CwVombbEybDcPGyW9s85q+/keZ8giADAMz5B EqaNfMtAnZsD2bRpUyM/U0p5nl+5oXDsyGFZWelxEgI5LTlxouy3NRtGDykwm81hu3CYHpoOQFM+ +Mpms0mSpKSzBUHgBYFlFNjCK8YSgMzZn+oU7d37/lPvs9Oevqm75eTUpUn4g58+80bt9f+c3qfV 7g95DyyY8b+GS/987aAMC8je0pVv/uuXrvc/fkXeyd3POb5YzKannnz0mX++6OP1dyBSbt7m5uY+ +OCDY8eOdblc06dP37s36koindu8/OEF/3i1/Lpn7+7bwr6RK5f966WNox99YHRr7WmLxETj2tIK qoKEc6paoSYNy8CBA2MqcPPmRtLQ7YZWs3V/LBrXlr8t6Rn4/PRES6d05tFPvaW1FAA4Fp6ZaJ23 Wth+NJhT+dfFTS501QP77lSgScOioOyzsfjb78O+V75sZAsO5LShSVWpbij9cPWTle6Sc3tO/Xzj fybcPKrEtzPBnMwXO/ZuLAWALgWp1nRZFGUQ2DXf7X3t+nUntwanBKdqiBLGSfFBOIU5HTgZs+Z2 iFiy5OX/Sbc8dFnOqTWy2xiDEUuAOavvHNM33ctXA4DVnLJ8R0X8EtBNdCSltNblZlnOGeMbCBEk JSWZZblalzs91RSWgK4zmS1eDxBS73aHncULAmEYlpEEmcrOKDtNE2AZ94ZXHtre69a/3zUw4pUX Jxnvjrf//vYOL1gLWtOny3zFsVquR3qSmQCA7KsuczHO0/B9m9Tn8zW+79NTTz01YcIEAGjSj8YV 2bXrx1+qe0zqb2xlIBIPmtCWdqIqpw+nsBVq2rAgiIpRbfnXt/yNo00zr7fVNNDiatkrwLxVwvZj rbUhJNL+icGwYKL5j00TqpJiz/rLuNnK5883/oeXPQBgZuxb1x29fsizlNKP1j3e50Jnna/KRpwn SeRTjlM4RAkj7j4IpzCnC6fMrBlpB8Q8FfIKXl4UAQBIK2/6HEZjCWhKqSiKJ8or83KyjOy/gSBa OI7Ly8kqrahMSU5imBCPZ3v+VQAoKy1t5PS8d+ZH/c3S86YXXonx4cb4Ye07fcYrrV4q4yiYfMXu ue88vVJiGEq5lG4jbr55qLONk+2tDSGE5316r6kMsnjx4tzc3D179syZM8flcp002YKIJ378z78W H2Xzzr5+er9EDN7aiia1pe1V5TTjlLVCRgwLgig0ri0Os+ji/aFyvZe++TP/5s9R9+tLNDe67Tdy imPcsEQuf0b+UMTkgzKdHY7vr0jvlCH6aE1dbe+c4QBQ31AvCAkmYi07WpuRnBtneU9NTtkQJYz4 +iCcwpxGnBqzZqR90IypkM/XAMCqH+JIEwloQRCPHC+9+pJxYQlEBGkShmF6du/y1XdLu+V3YFkG VShGiDVvzE0Pj2lrMeIMIT6fr/G3TW7cuHH69OnNv4S50+Rn/9X80wGAy77woX9d2KIikNagKW1p qaog4ZyyVsiAYTkNabmt+2PSqLZcc+aJ+duy6/mmH/xMtoiT+p1opgzYd6cExgwLrn1GYvJB1w15 Yt76Z7evKgKAVEeW8qXDmrJp8QkAyEjOnTr0yfhJeipzyoYoYcTVB+EU5nTiJMya2yFczsWPPdbW QpyCxDgVMrHWrYe92j/jIxZAIwloZflz0aEjnTt2cDgScfkz0gxSkh2d8nP3HjzSp0dXkyl8Iw4E AUp5nw+im5dTY3cq5OTQqLagqiBBmjIsp8aezsjJoVFt6Z3Z8PS4AydZIqSd0pRhQRA/sahKj6zB f7/sy7Avn78aF9H/YUAfhBgEZ82IcWKMWG4JfSdhXNFPQFNKJUk+fqL8aHHFNVdchNlnpHlQSkcM Kpj/1Q/JDkfH3GyWZTAHjWghhAiCoa3xEQS1BTEIqgpiHNQWxCCoKohBUFUQ46C2IAZBVUGM0561 RWdXBFmWBUEoPlG2efve888ZYbdZTr5YyGmDzWo9f8yIzdv3Fp8oEwRBluW2lghpX/ACj7clEIOg tiAGQVVBjIPaghgEVQUxCKoKYhzUFsQgqCqIcdqttvhXQFMVSZIEQdh/6PiBYyfGjzs7v0OOKOI7 VZDmQynNz8sZP+7sn5at6lrr6ta5g8lkYlmWqLS1gEgbIwhRX6aBIGGgtiAGQVVBjIPaghgEVQUx CKoKYhzUFsQgqCqIcdqttnCiKMqyLAiix+utq3fX1Lhq3Z7kJMf1ky6zWcztduU2cgohCEKnDtnX T7rst9Ub1m3dnZxgczodSYkJNqvVZOIYhuG4pl+tgJyWEAICL+BtCMQIqC2IQVBVEOOgtiAGQVVB DIKqghgHtQUxCKoKYpz2rC3cqlWrlE82my0rK6ugb8+MjAy73e7xeHDtM9JaiKJoMXFXjD+3oaGh vLy8uLj44IH9Ho+nreVC2hiLmat1uX/9dZmPR2uDNAFqC2IQVBXEOKgtiEFQVRCDoKogxkFtQQyC qoIYpz1rC6mtrRVFUZIkWZZlWZYkSVkT3daCIacnynpnlmUZFZPJ1NDQ0NZyIQiCIAiCIAiCIAiC IAjS+nDl5eVtLQPyB0KSJEmS2loKBEEQBEEQBEEQBEEQBEFOBkxbC4AgCIIgCIIgCIIgCIIgCILE Bamt97rgKKVtKwGCIAiCIAiCIAiCIAiCIAjS6hBCeF6wWS1tmATmjB8qyXKdq8Hl9jR4vTwvSDIF AJYhZrPJbrU4EuxJDjvL4JJqBEEQBEEQBEEQBEEQBEGQVsNisSgffD5fTCcyDCOIUgLDtOGmuIYS 0F4fX1ZZW1NXn5eb1bNbF4fDbuJMDEMAQJapIAouV8PxkrIdew87kxKz0p0WsynOYiMIgiAIgiAI giAIgiAIgvxR8Pl8gTS0cQghvCASQuIhkkGa2IJDkuQTFVU1de6C3j2zMtMZhkiSJMuyIPDKiYQQ QogzOTEtNblf7+4nSsu379nndCRkZ6QqGWoEQRAEQRAEQRAEQRAEQRCk2VANsZ7L84JSQhzkMkRj K6B9vHDg6InOHXOHDiwAAFEUIgVVqi3LsiiKhJDsrPSszPT9h44UHTreNT/HxLFxlB1BEARBEARB EARBEARBEASJAiGEF4Q2XgEd7YcGj2//keLBBX0y0lMFQZANvC2RUsrzPMMwPbp2Sk5K3LRt9+Gi nZiDRhAEQRAEQRAEac/Y7fYBAwY4HI7In+rq6rZu3drQ0HDypUIQpA1pxCwgCHJq0X634PDxwv4j xaOHDUyw27xeb0wlSpIkSVJ6asroIQM6dOhQ0Kub2RTDqw4RBEEQBEEQBEGQk8mJEyd+/PHH0aNH R/5UWFg4fvz47Ozsky8VgiBtSCNmAUGQtkLJ4jZnCw5BbN6JrQUT+ZUkyQeOnhhU0Ntus/p8Ptos fD6f3W7t2SVvz/4jRlZPIwiCIAiCIAiCIG1Cdna22+3W/cntdmP2GUH+gDRiFuKEVeVkXhRB/ggQ Qni+jbfg0ElAn6ioyu+Qk56awvN84ycrbyCM9ivP83arJS01+fiJipaKiSAIgiAIgiAIgiAIgpwi MAzDcRzHcQyjk3rSZeuufQaPJIQohbdtTg1BTjJ7Dh5rxlmEEF5sZ1tw+HihqqZ+4Jl9lLXPjZzJ MMy3337Lcdz48eOjrXGur6/PTHVu2bkvKyMVN+JAEARBEARBEARpt7Thk7kIgrRPWmIWCCEzZswg hPztb38zUo72qfomS2YY5qOPPgKAG264QZKk1jVfhBCWje19Zq0rA8uykblCSqkkSa11CV0CFW/1 Jo2EYZjIOxOyLMdpEwXR69306KOV338f9n3q+PGDXnrJdIqsuzc+RsIghAiCSAgxMrjipPzhSeHS ipq+vboBQONdzjDMm2+++cMPPwBATU3NNddco3s8pdTn83bNzz1aXNqtU4dopXk8nsOHD5eWliqv trDb7VlZWZ06dbLZbE1WAEEQBEEQBEEQBDnJHDlyZPv27eXl5QCQkZHRr1+//Pz8thYKQZD2AsMw +/bt27VrFwAcPHiwU6dOrZVYVBJkc+fO/eWXX5QLTZ06tdXzv7Nnz/7ll1+MrBillI4dO/bOO+8U RbG1BCCEPProowcPHlRStLIsd+nS5cUXX2yt8nVRrvX2228DwLRp0wghccoFK6nnHTt2LF26dN++ fTU1NQDgdDq7d+9+/vnn9+3bt9XT0KLXW/jII11++KFvxE8NP/ywDeDMUycH3WwMjg+WZT/44IPv IzL10bjoootuvvlmI8ofsgJakuXqWtfgAX0FQYg2dJVtN95+++3ly5d36tRJFMV58+ZNmjQp2vE+ ny8hMbHoYG3njjms3mMXxcXFhYWFqampKSkpOTk5Xq83OTl5+/btBw8eLCgo6NAhatoaQRAEQRAE QRAEaQbrtu4e1r9X2JfG0zcbN27csmULACQmJoqiWFJSUlJSMmDAgMGDB7eyoAiCtCnNzuoSQhYt WpSVlQUAX3755QMPPNBkUY2v7uS44ALKTz75ZMWKFR07dgSA5cuXU0qnTp0a+LXliWBK6erVq7t0 6WIymZo8WBCEtWvXTp8+vRUz4JTSsrKyHj16BNYjFxcXN2Pdq3FYluV5ftasWco9g6qqqgceeMBs Nrf6mmuO46qqql5//fX9+/c7HI6EhISkpCQAEEWxqKho06ZN3bp1u+eee1JTU1sroS94vdsffbTj Dz/Y9X61A3RUctAvvsi1aQ76yP79HXOJfHSNVdrNHLeTPgO8uReFHdPsFdDGT6SU/vzzz/n5+RaL pfEbMJRSr9e7fPnym266KeYV0HWuhtysdBJ9+bNybSX7nJuba7Vaa2pq7rjjDohulSilAs9npDmr a+rSU51hvx4/fnznzp3Dhg2z2Wz79u3bv38/pdTj8ciyzDDM5s2bAQBz0KcToijOnTt39OjR3bp1 M/L9yRHpgw8+GDduXOfOnU/ypREEQRAEQRAkrni8vnVbdx88WuLjBWdSYk5m2pAze27bc3DLzn2R CWiDHDlyZMuWLQkJCeeee66SXSotLV22bNmWLVsyMv6fvfuOi+Ja+wD+zMxWdlmW3kFQVFCxYVcs GDXYYjc3tqixJTe9R0035d7ExPsajd3EEjUxsZcYW2JviAqKoiIISGdZts/O+8col9BcBAS9v+8f +bjDmTnPObtu5Jkzz/Gsz3XQtozfl/xUMGDWqFB5vcUAAEQsy6ampiYlJQUEBBBRUlJSSkpKYGDg Ay9rlUgkp0+f/v7774uLi6VSqUaj8fHxcXJyIiIfH59jx47t2bPHarWqVKrp06dHRUXVPHepUqlc XV0dXAFdVFRUw+4qDMDFxUUMQBCEwsLCWu+ihEQiKSws/Pzzz3Nzc2fNmkVEy5Yt+/DDD9966y0X F5daXNnNcVxOTs77778vlUobNWokk8lKSoTb7XaNRuPu7p6bmztnzpwPP/zQ3d295unvqrPPooaQ g2Z4iyZjWairnPX2tBXl3rh87fbOw1zEz35Tlz38YEaMGHH06FGr1epI4yFDhjh42b8loIuKjcGB /pU9uSB+7pcsWSJmn+VyuU6nGzRoUGxsrNlsrqIPq9Xq7KQsLCouk4A2GAxxcXHdu3d3cXERBKFx 48Z6vT4rKyszM5OIJBJJUFDQuXPnXF1dxa+V0i5dujRr1qzw8PDFixeLXaxYseLHH3+8c+eOn5/f 7Nmzn3jiiR9++OHjjz8ufVbbtm03bNhQ+hvk2rVrb7zxxsWLF728vN57773Y2NgyHd23QflgysjI yNi/f39ubq5CoWjTpk2HDh0YhsnLy9u7d29WVpZKpYqOjg4LCyMixw+K/vzzT51ON3DgwLy8PKvV Kv7jr+Zq92plcBzXvXv30vtoi6OIjY0tc7xO1ekYyyh5mx5CXwAAAAAAJVIzsvb9dcZkvru3fF6B Lq9Al3jtpt1eozV0Fy9eJKI+ffp4eXmJR7y9vfv06bN169aLFy9WmYDmCy4f2n34/K0CKzFybVD7 QcO6+8lqEgsANBSlyxbn5ub++uuvSqUyMjKy5OX48ePd3d3FBg9Qznj58uXOzs6urq4cx0mlUp7n 8/PzxR8pFAoxjykIwvLly6Oiomo+HJZlxRoUZrPZbrdLJBKZTFaSDrZarVarlWVZmUzGcZzjuyxW NwDxz2LN61rvQiSRSDIyMubNm8cwzDvvvHPs2DEieuedd+bPnz979ux3333X19e3tnLQgiDMnz/f ycnJ1dWV7tUOlslkRGS1Wu12u0wm8/Lyys/Pnz9/fpmE3oO5b/ZZVJKDbvvNNzXvtFqklmyPomW3 469k5/jeaDrZTyNIuQjXdt8pFKzWJy//5ipro0kPMx6e58eMGTNpkqOdGo1GvV7vSMu/leAwmswq J0WFCWix8saSJUv++usvf39/pVJpNpufeuqpmJgY8W9dSUtBEMrc1OJ5nuMkBmPZJPX169c1Go2z s7Pdbi8qKjp48GDpE/V6PcMwPM9fv369ZcuWpU9cs2bNggULmjVrVrrxzZs3ly1b1qRJk7Vr1772 2mv79+9/5plnxowZUxLDxIkT+/XrVzr7bLFYnn/++R49eqxfv/7EiRMvvvhis2bNSq/AvW8DQRDW rl1bJpjSbDbbrl27IiMj27dvn52d/csvvwQGBnp5ee3YsSM4OHjkyJG3b9/euXOnu7u7i4uLgwfd 3NzE2K5cufLkk08KgvDXX38FBwfXSjq1dq9WHsMwoaGhJS9LRlHmeJ2q6zGWVjLAuu4IAAAAAKA0 g8n8++FTRrMlLCSgY+twrUZdpDds+f2vwqLiyk5x8JHenJwctVpdkn0WeXp6qtXqnJycKk4Uii5t 33FJFfP0rHAtGQqy81m3+z/dDgD1ycGvBYlEcvTo0bNnz2ZmZmZkZAiCoNVqGYbp06cPwzAHDhxI SUl5/fXXGYbx9fX18fFp3759ly5dyqQ1q6gSIAgCy7Iqleqf//wnEX322WerV68uH8b06dPNZnPN S1WUnG4ymfr379+xY8fFixdnZ2eLG5UZjUZ3d/dZs2adPXt2x44d4orJ2q2PUeGl6qIEh0QiSUxM /Prrr318fGbNmrV27dr09HQiSk9Pf+uttxYvXjx37txXX321efPmNc9Bcxx36NChwsJCX19flmUV CsX48eN37dqVkpJCRI0bN46Jifnhhx9sNptWq83IyDhy5Ei3bt1quAhazD4HbNzoNWrUpZgY8/79 7QSBiPji4vTvv89+7bV296Y0fflymjr14WzGa9DrL507GxQaejPpQmf3fak3UyKmLcnYsujU8YNj Bzjv+fjXQwfSu/fn+gRyXopzGTSMFzTiiQ+hBAcRGQwGcYu+al38vs3+tgLabLHKpFKet5U/k2XZ pUuXHjlyxNfXV6lUchwnkUg2bNiwaNEik8kktrfZbKGhoQsWLChzut1ul0jZkhvvJdLT0729ve/c uZOXl3fz5s3yn+aMjIx27dolJiaWSUA3adJk8+bNa9euvXHjhnjE1dX1s88+E/88cODAL7/8Micn x8PDo2TrxkuXLt24cWPYsGGlr3Pz5s309PRp06YpFIoePXpERERs3779pZdecrwBwzDlg7FYLGvW rImIiOjcubMgCDabzd/fn2EYNzc3uVxusVgKCgqKiorat28vrvL29PRMSkoKCwtz8GDnzp2JKDU1 VSqVent7Hzp06ObNm6mpqWfOnBkyZIiHh0dhYeEff/yRlpYmkUhatWrVtWtXjuMEQThx4sSlS5eK i4tLFlPzPH/48OGEhASe593d3QcOHBgXF1fmajqdbu/evenp6SVn2Wy2tWvX9ujR4+jRozqdbsqU KTdu3Dh27JjFYhHXwjdv3rxXr14rV64cNGiQWEHl5MmTN27cGD16NM/zpetdlIyipA5GQEDAmjVr 2rZtm5iYWFRUpNVqu3Tpcvz4cZ1Ox7LsgAEDfHx8bDbbmjVrWrVqdfXqVb1er9VqBwwYoFariajC sZcOuLCwsEmTJqXHqNXeXZhffooaN268cePGkJCQTp06EZHZbF69evWAAQOCgoIcmRa5XF4yQAIA AAAAeIiOn71YbDQ2DQns16ODeOTCleT8Ql2ddlr1r6B2Y34x49GhmY9aTiT3UbvePc4XXjm0c/+5 1CK7yq9d38G9mrlwgvHWkR374lNz9VZW5RcZMySmuYa1Zfy+Ype8T/uiQ/svFQaNfH5EsPHKoT2H zqcUWBmlb+fRT3chIrKmn/hl35nkAqvco0WfYQNauXJ1OmQAEC1fvlylUimVSg8PD7lc7u3t3bJl S/H39GHDhsXHx2dmZprNZqvVmpSUFB8f36VLl2pdXyzHLBa7MJlMubm55dsIguBI1WZHiKswbTab UqlkWfall15atGjRrVu3iMjf3/+FF16wWq1OTk42m01sWSudlg+g9Mta70K8bbBkyZKoqKiBAwcu XLhQTA0RUW5u7qJFiyZPnrxjx44vvvjiueee69q1aw1z0AzDxMXFubq6yuVyq9Xq5ubm5eXl7+8v JtMCAwN9fHy0Wm1WVpZcLnd1dT137lz37t1rOEZx7bPXqFGF16+7vPnmrf37iegbhmn31VdN+vbN IBJf+o0dO3r9+lNTp7rXsD8Ho1KrQ5s1txhzWvmmrltX4GvKCwl6oVP7pqvf/lEvcfH2MTz9NB9g k1MTv4KAYYLtod6qU6zYyAAAIABJREFU5Tjuxx9/3LNnj4P1Z/r37z9+/PgH2YSwwm0uWZbdsmXL wYMHAwICVCqVuN5ZIpG4ubk5OzuXXIHn+du3b5fPfAuCwJDA28vetdDpdIIgpKamGo3G8pGpVKom TZo4OzvrdGX/kSRmYCv7x01iYqJKpfLz8ys5YrfbFy5cOGjQoJLHPUQZGRlqtdrZ2VkcY0RExNmz Z6vVoMJgOI4LDAwU+5JKpW3btt2zZ0+3bt2Sk5O1Wq2/v39aWppMJpPL5UTEMIynp2dGRoaPj4+D B8Xuzp07FxERIZFIoqOjb9++3bJly9atW4vvwvbt24OCgoYOHWo0Grds2SKTyTp16sQwjJ+fX3h4 uEajOX369MGDBxs1apSVlXX16tVJkyYpFIrs7GxnZ+cKr+bv7z9s2LCUlJTdu3eLSxt4nj9y5Ei/ fv3c3NwsFsvBgweHDh3q4+Ozd+9ejuP69u1rsZS931Be6VGU/rDyPJ+UlDRy5EgiWrdu3fbt2//x j39oNJpDhw4dPHhQXNXO8/yNGzdGjhzJcdy+ffv27ds3dOhQu91e4djF9iUBi1WHSsZY0nWFU9Sm TZsTJ06I9wAyMzNZlvXx8XFkWqRSaekB3nc2AAAAAACqdvv27bfffrv88c8//7z8xjk3UtLtvL1L +7tLeY6cjj99/nLV13dwRZWHh0dGRkZWVlbpRdDZ2dl6vd7X17eKEznXpk2dT+/fc1Leq22wVnr3 V1t77qlfdyYHDJ02uhHd2Ltm6xYX73FRWrk2IPKJlkMDXCj7xNrVvx8Jb/xkAENkyzlzMLX3wKlP eCilbM7RzduTfGMnvNTUxVaQz7tIKJsEa9oVftTTLw5XFp7/efW+A83Dhjeuz12lAB5xDn4tCIIw d+7cJUuWiGU3Jk6cyPO8xWIR88UxMTFPPvmkRCJZtWrVhQsXOI574403KswdVb0CmmXZL7/8kojk cvmECRPKVF52dnZu1KiRxWKplRXQ4nJGmUy2YsWKadOmhYeHP//8899//z3P8zNnzjSZTElJSd9/ /72HhwcRiWv+athp6byBIAgSiaR0BlAikZREJaphOlgikWzZsmX9+vXDhg1r1KjRokWLlEqls7Oz mMGXSqV6vX7RokXDhw/38vL69ttvs7OzhwwZUpNOBUHQ6XQKhUJ8Ky9evDhnzpzi4mI3NzdBEDZv 3rx3716TyeTu7i6uj87Ly6uVRd/yPn344uKVjRu/LAjniYhowO7dAWFh6QcOlDyz09TdnYhuEIXd r7ucnJwKq+/OmDFD/DA4yM3TU1Z48dMvTxRahFS79sK866/OMvZvGZh0PqWZj9FaqGJjPe2+wRa7 D29XEN2NqvTfkQeL5L7zKQjCgQMHgoKClEqlI5sQ/vnnn+PGjav2CmiqfOG0xWLRaDTi2mfxCMdx SqVSfABBZLfb8/PzK7wCz1dcab6goOC/oUgkNptNpVIxDKPX60NDQ729vYuKiqr1acvJyZk9e/ab b74pbqMpunXr1pEjR7Zs2VKmsdFolEqlJfVDVCqVwWAQBKFkiu/boEIcxz3xxBMlL8PCwhISEv78 80+TyTRo0CBxmKW/NWQymVg/yMGDRFRYWJiTk9OvX7/yvRcUFBQUFAwdOpTjOLVa3b59++PHj5es oRbbhISEnDp1iud5pVJptVqvXbvWokULsf5ymdsPhYWF+fn5gwcP5jguKChIoVDcvn27WbNmgiC0 atVKXNgr1l1yd3dnGCYwMPDcuXMObixQxShatGghfvl6eHhYrVbx3QwMDExOTi55/qKkTYsWLX77 7Tez2VxcXFzh2ImodMBVhFd+iho1anT48OHc3Fxvb++EhIQmTZrIZLK8vLz7TkvVAwQAAAAAqC5/ f//nnntuw4YNzZs35ziO5/nExMSxY8dWuG273mAQBEGjVokvu0VFdouKrJUwWrZsmZGRceDAgd69 e4s56KysrAMHDhBRSEhIVWdKfXs9M9r50KGdSw8xgW279+nR0ksu5F++kOvWYUSIM8dQozZNlWsS bhW31zprGjUVf6NzDw3VHL1t4IkkRAKjbdujta8zQ8TnXL6U79F5VHN3OUNyd08ishER4x0V1ciZ Y8g1pKnrH3F5JntjRV2VTgWAu2w2W+PGjZ977rlly5YdPnzYZDKNGjWqJFmp1+vFZ+hPnz6tUChm zJgREhJS4UrEKoh1kD/66CMi+vTTT7dv316+zfPPP19bK4VdXFzsdrtCoXB2dv7222+nT5/etm3b GTNmCIJgNBrPnz+/ePFid3d3hUJht9vFZYs1JAjCc889ZzAYJBKJSqUqcz9PpVLNnDmzuLjYarV6 enouWLCght3ZbLYxY8Y8++yzJpNp8uTJ3t7eSqWyJAkulUqdnZ0lEsmaNWtWrFgxY8YMg8FQ870W 5XK5IAh2u53neScnJ7vdrtVqxRrQWq3WarUqlUqbzSZmqMW1mDWnGTiQU6me3L3bWlxckoIszMz0 6N1bfBz+ZUEgoitff+3I1Tw8PAYPHvzHH38EBwezLGu321NSUmJiYqqVfU69nhzcOODS9WtFPJuX mqjRWAcGaxN+K+wRrfFwMknbtrV4NLV5am7rwq6c1PsH52rdK1iZXSuRVGj48OHHjh2zWq33TUAT 0eDBgx287N8S0BzL2ngbwzBlcr5iCWqdTnft2rWSHSp5njeZTCX1N4jIbrcHBgaW70N8bIFjyz76 pFQqxdXNISEhLi4uarX6ypUrWq02LS3NbrdzHFdQUJCdnV1+B8LK5OfnT5gwYfDgwcOHDy99fMWK FR07diy/G4b4yS5JRxYXF5dJ8N+3wX0ZjcZffvmlc+fOLVq0SEtL27lzZ79+/aRSaekcqMVikUql MpnMwYNElJiY6OPjU+F3nMlkEgvhiy+dnJxKSiDFx8cnJiba7XbxbzsRubm5DRs27OjRo0ePHu3Y sWO7du3Kx8/z/I8//ii+tNlsJpNJ/LOLi4v4B7VazTBMVlaWv79/SkqKl5dX+er4Fd5FqGIUJTc2 Sn/piFsKlLRR3NucVJwlMbYKxy6+ZSUBV6bCKVIoFCEhIZcuXRI/mUOHDnVwWqoeIAAAAADAA4iO jr548WJycrKfn196enrLli2jo6MrbKlUyHX64vxCnauLpsIGDywoKKhNmzZxcXHbtm0TnwIsSSSd PXvWx8dH3F2qQoxTYNST49rH5CQd3bVz7a80ZUxzQ4GRv/P70vn7iYgE3sZ4Gq2CYMw4d/ivC2l6 QcLxukLe/e6vAYxEpVWIv4/ZjYVmVq2R//23M4ZTqmXiIZZliGq23yIAOMxoNIaFhU2YMGHlypX7 9+/XarV9+/YVf62WSCS7d+8+dOiQVqudOHFiaGhodbPPInH/MCLieb6yEhw1HEWJ4ODg27dvOzk5 ubi4MAyzePHiiRMndunShWGYkydPrlixwtPTU6vVSiQSg8Fwn3tvjmEY5u23316yZIlKpVIoFCV7 HoqcnZ3lcrnRaCwuLn7xxRdr3h0RFRUVFRUVSSQSqVSqVqtZlrVarWJyQ6FQSKVSjuPy8vKKi4sL CwtrpUdfX9+0tDSr1TpkyJBr166lpKTo9XpxUaNYvCUkJCQoKGjHjh2CIAQEBNRKp04tWhCRPi2N iBRjxxLR7gEDiOhlQcgmIqKtL7xwfeFCCVGYYxds3br19evX09PT3d3dc3NzQ0JCxMfrHefl53/r RpreID197IgPIzufbpn5bKsQL4ukUYBBFpuuu3L0r3N2WUd3H5XWXZt1J7PCBHStRFIez/OjRo2a MGGCg+2NRqODdyb+VoJDKuGKi01KhbT8ElGTyTRt2rRly5ZdvXpVrMJhs9lGjBjRrVu30s1sNltx cXGZ01mWNZjMCnnZ7Y39/PwKCgr8/PwiIiLElGVkZOSFCxeKi4uJ6PTp015eXpmZmeHh4Y6MRMw+ d+/e/ZVXXimdAL1z587WrVtXrlxZPisaEBCg1+uLioqUSqXdbk9MTCzzVt23wX1lZ2cTkbhFYUBA QNOmTc+fP9+jRw+z2Ww2m8VnKLKzs8U0pYMHrVZrYmJiTExMhalwMVSLxSLmYQ0Gg1wuZxgmLS3t yJEjo0eP9vDwyMrK2rRpk9jez89v5MiRmZmZv/76q7u7e5k0vbiZ7KRJk0rfBhBvY5b07uTk1KNH j82bN2u1Wi8vrx49etC9ckUlny7xPS2t6lE4kuUv+YgbjUaWZaVSaWVjd/CalU1R69att2/fHhwc rFAoxMoqjkxL1QMEAAAAAHgwU6ZMeeedd65everk5DRlypTKmoUG+Z29cPnQsbNPDehV+rjVZpNW UiDO8dxN+/btPTw8Ll26JP6+4+vrGxIScvbsWZPJtHPnztjY2Cpy0ETEyDyadet5NX7ztVxrhLOL QuL/xIxnwkutO7Lc2vbLwcIu48e395Txd/YvXZP533Pv/eOaVTjL7Ll6s0Cy0v/exr++AWpTtVK6 xcXFLVq06Nix4/Hjx8U8pvgXUhAE8an6zp07h4eH33d/swpLcDAMI5VKv/76ayKSy+WTJk0qX4Ij JCRETETUMBPN83yfPn0WLVok5mFdXFxYll2zZk1aWhrLsn/88YePj49Go5FIJDzP6/X6mJgYnudr 2KnVag0PD3/hhRdWrVolk8nKVPIUX/I8P2PGjICAgAfL4FdIrOwhPnxfXFz87bffEtFLL73k6uoq Hq+VOhhExPN8165dV61apVQqz5w5M2PGDHGFq5isExcCWiyWhQsXCoJgMBi6du1a81klIrOv7+EX XrixcGGjDh3Chg+ne0ue0zZt0t9r04pI/J+Wg90NHDhwyZIlaWlpCoVi4MCB1Q1SJpf7B4f6+mlm vZbr5FQc2dZj67aToZwbk5vRqHHozRu+vDSqc68Yyb2C5hX+jahWJFXUtymvuLi4fBKvCg5e9m8f aKVClpNXEBzgXX6XSfHtnzJlyvLly69duyYuel26dGlubm7Pnj2r3pWSZdm8ggKXcjfemzZtevny 5bS0NG9vb/HOhkKh8PLyKigoMBgMHMcVFhayLCtmb6smZp87der08ssv22w2m80mkUjEvz8bNmwI Cgpq1aqV2NJisbz99tsxMTEDBw4MDg4ODQ1dtmzZG2+8cerUqfj4+NmzZ1erQYXB8Dy/b9++kJCQ pk2bqtVqk8mUkZERGBio1+tv3brVvHlzrVbr6up69uzZrl27pqenZ2Vl9ezZ0/GDt2/fJqKSItfi t3DJ3T8XFxdXV9e4uLiuXbuazeYzZ840a9ZMIpGYzWaGYZRKJc/zFy9eFN+y/Px8lmVdXFw0Go1M JuN5vszVtFqti4vLyZMnu3TpIt77cnFxKV0VhIjsdvuFCxf69u3btGnTku8OlmWdnJySk5P9/f0L CgquXbtWZgFymVE8gPPnz4sFMc6cOePn5yd+QVc49jJVisqMsUSFU0RE7u7ucrn8+PHj4qOODk5L zQcIAAAAAFCeXC5/7bXX3n777Tlz5lTxhHKnti0uJl69cu3m5p37e3Rq6+numpmVe+RkXFZuXt/o TmEhZR8Pra7g4ODg4ODSR3x8fHbu3FlFDpovvH5d5+Lr7arizNmXz6dYXTu5Sjjn8JbaU0eOJnn3 aOLKmQtz83itn5PJYGGUaqWU4XU34q4U8RU8y8i5Ng93OXX8aFJg7zCNvSivWOZxnyceAaDOmc3m O3fusCwrPh9/8eJFIoqMjPT392dZ9s6dO47sF1UhMZf9/vvvE9Fnn322bdu28m1efPHFWrkHZbfb g4ODmzVrlpGR4eTkJJPJXF1dpVLp6dOniSggIECtVouZWYvF0qxZs6CgoFrJCBsMhsaNG0+ZMmXV qlVqtbr0hooWi8VoNE6dOtXPz68Ws88ilmXFhIbJZMrJyRH/IB4pv5Tzgdnt9ubNm4eEhNy+fTs+ Pn7x4sVjxowRd88iIoZhLBbLmjVrrly5It5LaN68+X3vVdyXatSozNat44nCiVJat75AdJUo9d5P A4nOMsx1IjFj6DRiRFXJzVKkUumYMWO+//77iRMnPvC+l6zUo0WnQSFNm5iKs8PaBLfrEs1J1UTk HUIWs1ni2GVrJZLSOI5bs2bNH3/84WD7mJiYcePGObQJYekXziqntIw7ocF+YqHhMsRKNyU5aKVS 6eLi8sMPPwiC0KtXrypy0BzHZeUWBAWU3Y9CpVJ17tz58OHDCQkJfn5+4teEv79/QkKCt7e3+N3U tWtXlUp132EcOnTo8uXLly9fXr16tXhk1KhR8+bNKywsXLNmzccff1xy78hqtZ48ebJRo0ZEJJFI FixY8Morr0RERGi12jlz5oj34hxvUCFxM0atVktEbm5uvXv3/v333/V6vVQqjYiIaNeuHcuysbGx u3fvXrhwoUKhiI6O9vT0JCJHDnp4ePz111/h4eElHyyGYTp16rRr167Lly8PHz7cx8dn0KBB+/bt W7hwIcdxERERHTp0IKKgoCBfX9/ly5c7OTl16NBBnFWdTrdnzx6TySSRSJo1axYcHFz+akOGDPnj jz++//57IvLw8BgyZEiZTCsROTs7izsBikMePHiwi4tLr1699u7de/78eU9Pz/bt21+7dq2kvSAI cXFxpUdRXQzDBAUF/fTTT+JWJ08++STDMBzHVTj28ueWHmNJfZwKp4iIOI5r0aLF4cOHw8LCSo5U PS3i9oM1GSAAAAAAQGX8/f0XLlxYetub8pzVqqdie/+8fd+V5JtXkm+WHJfLpIpaKqxZhqura2xs bBU5aMF0+/SOLak6KxHJ3ULbDhnWTssSuXceOdi2e//qb3+zEim9IvuP9HNvFN0t4Lcd3/17p5NX RNdOoeqkCvqTeHUd8aR5xx/Lv9liJ2VAj7FjKvi3PwA8bFlZWVKp1Gw2f/HFF2IeICwsrFevXlKp VHxm4oHxPF9UVMQwDM/zYp60jFoswWE2mydOnPh///d/er1eqVSyLKtWq8VioRzHiSV3jUajWq2e OHGi2WyurX4NBkNwcPCUKVNWrFihUqnElILVajUYDDNmzPDy8qr17HNpJZm9qpeZPjCz2Tx16tQF CxbIZLL4+Pi4uLj27dsHBAQIgnDr1q2zZ8+yLOvs7KzRaKZOnVors8rPnq0i6nrvAXcx0VymYIpY x8ppxAj73LmOX9nDw+OVV15xvGhwhWRyxaW4C8mXLw4a/Y/S905k1fnfdK1EUtqff/7ZuHHjkrK3 VTAajcePHx83bpwjl2UuXLhQ8sIuCCfiLvfv2VkQ7JVt1MayrFKpXLlyZXJyslKpLCwsTElJWb16 dWWfTpZlGYaNS7wxoE8XrqI7J9evXz9y5IhWq/X19eV5PjMzk2VZhmHy8/O7desWGhrqyDCgHh08 eNBkMsXExEilUovFsmXLFj8/vzK1WWqXzWZbvXp1TExMFbcBaldcXNyVK1dGjRpVi3f/AAAAAADq WqFOfzLu4vWUtEKdPsDPO8DXu03LZiU7E5a2aNGiXr16lT9+8ODBmTNnOt5jfn6+mIOOioqqeTFK AKhHlX0tVG3OnDkeHh6FhYVms1m8T6bT6eRyuYuLS3Z29rx58ypLNymVyvOJ11qHNymfY5VIJB9+ +KFCoSgoKCAiuVyen5+v1+tLt1Gr1V5eXlar9YMPPnBkPeZ9SSQSpVK5bt26hIQEJycnqVRaUgfD YrEYDIbw8PBnnnnGaDTWSnelKZXKzMzMZcuWiVlFg8Ewffp0T0/Pusg+SySS9957T3yiJSUl5dNP PyWiMkdqcYBSqfSrr76SSCRWq7WgoEDcVpGIZDKZWPCkU6dOI0aMMBqNFS6NfQAMz0s+/bT4Xg66 QqpRo2zvvSeUW235EBzevTt6wAAHG1fxd6Rqzs7Oew+f6hfd4b71msWK7SdPnnRkPaXVau3YseOA AQOqvQKaZRh/b49LSTdaRzSp7FaDeJPn2WefXblyZVJSkt1uHzFiRBUdSKXSC1duNA9rVGH2mYhC Q0O9vLwuX75869YtcSKcnZ2DgoJ69eqlVqvvOwCoX2Jl6oCAAPGjKT4VIq7+fmwUFxefPXu2Z8+e yD4DAAAAwKPFRaN+Irrzw+xRXAedmpoaGRn5MPsFgHrHsqy4ppBlWZlM1qNHj0GDBgmCsG3btlOn TonHc3Jy3N3dH2Cp8sSJE9evXy/WHRJLiZZ5XF6sI/HMM8/U1nBsNpvBYBg/fnxmZuaff/6ZnJyc l5cnCIJGowkPD+/WrZufn59Op6uLxcJGo9HHx2fatGnLly8nopkzZ7q5udXd2me9Xi+uKC/J6Zc/ Uis4jjt58mRmZqZY17RXr16ZmZkFBQUsy2o0mrCwsM6dOyuVyqKiosruUjwAgeNs772nIqosB12P 2Wciiqzowf16xPP8iBEjHFzUTERGo1Gn0znSsuzuEz6ern+dSWjeJJhhmMreb57nDQbDpEmTdu7c yXFc//79DQZDhV8fLMuazJacfH33Tp5VBKFWq6OioqKiohyJGBoUhmF69eq1b9++CxcuiF/3ERER zZs3r++4agfP85s2bcrKyoqMjKyVbW0BAAAAAB57rq6uVW9CCACPJXE7O6vVGhYWNmTIEKVSKaYv hw8f3r9//y1btmRkZDzYui6bzda0adN//etfVZ9ut9v1en3NCweX4Hm+oKBAo9GMGjVKKpWKhTd5 nhdrYuTn59dWR+UZjUZPT8958+YRkU6nEzd1rCNr164t+bOYdy5/pOYYhikuLt65c2eXLl169uzZ uHFji8Ui1jMhIrvdLs5qYWFhrXRXWhU56PrNPhOR1t39IfQiCIJMJnHkxo8gCIWFhXXxLjDx8fFl Dt2+k5tToO/dpa3JZKoiOIZhxGcBKtsbkWEYhULx58kLUW1bhgSWLQANAAAAAAAADcSiRYt69uxZ /vihQ4eqVYIDAB4blX0tVEGhUGi1WrPZXFRUVPqpfIlE4uzsLJPJCgoKKnvg/oHLC8CjQiqVarVa q9VqNBprsXD2/44H/juiUqmOn73UuV2LylK4D0HZFdBE5OvpejszN/5ycsumIVXcYxEEoeql+HK5 /HzCNReNJtjfuxYiBQAAAAAAAACAhspkMmVmZpY/brPZHFkv3Dq8SR0EBQ2F1Wqt4UaU0LSR/wOc JQiCVOrQCui6U0H3DMO0iQg9dOqCi7NToK931eugKySufb6VnnUnv2jskCdQORcAAAAAAKDByszM VKlUFf7ep1KpMjMzfXx8Hn5UAFCPqvhaqCO1WDoD4LEklFKtE3mel3Asz/P1mINmzp8/X+EPTGbL vmPnW4c3iWweajabHa+qznGcXC4/n5B84Uqywq6XSuqtkAoAAAAAAADcl0qlioiIUCqV5X9kNBoT EhLq8aFdAKgXVXwtAEC9UCqVRqNR/G+1TpTL5ddupjVpFFCPlU8qTUATkdXGHzmT4OSk7NmxtVTK WSyWqrehFPc5tVr5gyfPm4ymru3CkX0GAAAAAAAAAAAAqIkHTkDLZLJb6XeC/LwtFksdxXZf3IwZ Myr7GcsyQb6eRbri/UfO2ATB18tdIZczDCP+VFy2zbIsy7ISiUQul9sF4ezFq3sOnfT3cm3fognH ofIGAAAAAAAAAAAAQI1IJBKr1Sr+t1onsixrNFlUSoXj9S1qHRMXF3ffRmar7cLlG8kpGV5e7k0b +ft4uqlVSplUQkQWq62o2JCZlXc1JT0rKzc02CeyWYhcJq37yAEAAAAAAAAAAAAefw+8AprjuAKd XqtRN/QEtIi3229n5qRm5uYVFBUbTFbeRkRSTqJ2UrppnQN83Px9PDjsNwgAAAAAAAAAAABQe0pq slc3Ac2yrMFoclIqqi6tXKeYc+fO1VffAAAAAAAAAAAAAFBHGIbh7XaOZcVyyvUCC5YBAAAAAAAA AAAAHkOCILAMU4/ZZ0ICGgAAAAAAAAAAAADqiKR+898AAAAAAAAAAAAA8LiSHDlypL5jAAAAAAAA AAAAAIDHUL1VANH/9c+Yl48xXb/9Y0E3Vb1E8BgynHyz/6z9bpN/2jSriYyITPHzhkzezI354bc3 IuT1HYwj7Hl7Xxz07nGLR+t+Tzwx9rnRkZoGWCOm3Kw+yEgBAAAAAAAAAAAedYIg6PV6m80mCALH cSzLchwnkUhksv9myST1GB/UNkWr19dunMm5+UvrOxJ6sGBseclpFlL0en/BvC6Pzm2JBjXtAAAA AAAAAAAAD4PRaNTpdCzLSqVSiUTCsizDMAzD8DxvNpulUinLsoQE9OOFVXoFhdZ3EPc8WDCCQMTJ pEwdBFRnGtS0AwAAAAAAAAAA1DmDwVBQUCCTycTUc8lx5h673S7+oQFWOChNMKb88f3s6f8Y+kTX qKioTtH9R876dO2JLJv4Uz5904SoqKhRq1Jspc6xZ22Z0jEqavCCK5Z7hyyZx3/85KVJw5/oHBXV qWfsuNfn/3ah0F5yhunCZ/2ioib8lll4ad3bo6OjOkzYnGWncipvVvX1zQlfxUZF/WNjataZH+dO Htg9Kiqq15BxL3z0w/Esy986sOsSts5/c+ro2B5RUV2eGD7xxY9+OJb5tyb24mt7F78zcUjfrlFR UV36DBr35qLfrxtKejKcfrdnVNTQ765ZSMjbNTmq++TNeUTZGyZ0i+ow87DesV7KD3NT3AbH5vlv SgUjzsK/noyKenp9mi5p6xczn+rZISqqY89BE+f8cCJbvGrxsVe7dh274jZR8d4Z0VFR/9iQzj9g wJuz7Pe6u5H25+LXxsR0jIqK6tJ/wtyNCXrecH3X/FcnDuvTMSqqR+yEueviCkq/2VV+5Cqe1TIj dSTm+84GAAAAAAAAAABAA2W32wsKCiQSCcdxFTZgGIaIxOLPDToBbUv75aWn31q6+0y2Ojw6dmD/ bmHytJO/zn9+2oJ4g0BEnE/0sFZEN7btS7WWnMRnHvz5vJ0aDRscKlYaMV9f9/LoF7797USuS0Tv J/t1aSy5fnBOCjuFAAAgAElEQVTtJ8+OfGtHxt9yfZaUja8+9/W+6yYnHx/nimeuwmYOXr/gyGfj p3+7M1Xdokf3tl7Fl49vXfDC2He2p99rY887/MkzEz5auz9O5xrZ54lOgfbko1sX/HP0yxtu3ktc mq6t+ef4d5f9fkUI7jwgtn/nAOvl/cvfeXb27iy+XJiMquWk2a8+00pGpGgz/tW3Zo8LkzvWS/lh av0cmWeHmK6umjnxo/3GsL6jR8e212Re2rXg+eeXXTETkbzxmLdff7ajiohtOubVt957roOWfcCA S96+nP0fTXhlw53A3qOG92kuy03Y+eW0ma9MHjdn8223tgOGPdFCmpWw8+uXPj2Ydy8FfZ+PXCWz WobDMVcxGwAAAAAAAAAAAA1UQUEBEVWWfS5NEISGXILDnLRhxVkLhUxb++NzzRQMEZEt/ddZwz89 u3f39ecjW8qJ9ew2vA17IW7HvtQJz4VKiYhst3//OZEofPSAICkRkfXm+tlfn7S1eeGHbyZEqFki Invx5fWvT51/YN5nB7t809ftXg7+2o8/eA+Ys/bNQc00VU1dmWYOXz/ryEmv2E9+mz0gQEYkmG/t +nTG3J2HPv/yYNev+7qxgu7E1x9szSDvwfOWvNPPX0ZE9oKzS16ctezkVx9tj1463Jcjw8WVK+Kt knbvbv5uuJ+EiAT92S9GTfv58Oq96f3GBZZ5K+WB0U8N1yasWnuBa/bEiFERciJypJcKh2nPut88 Oyh167YWL/z468RwJ4ZIeGHMf8ZO/OH6tp3XJzcLl3l1GjLcPW39ypPUqPdTo6KciEjQHX+wgMl8 h4go/9yd4f/Z/HYXV5bIOm7ts8PnX048mt3/y80f9fHkiPiJUdOe+uz80R1XTH26ODnykatoVsn6 tyFWY5Krmo1qTCoAAAAAAAAAAMBDZDQaJRKHEssNvAQH59nrpbkf/OvjsWGKeyWBJe7Nm7sRWQxW cckq69F1RDuObu3Ye0tcW2pJ2fnrdeLaje3twxERWa79uimJfEZM7+dlyssR5Rk9ej87xIvMZ3Zd Npbqz3XoR+8MqTr7XK5ZNa7v3G/26/0DxMQiIw968s0PBrqQ6chPx/PsJBSd+2m/jtT93nvlCf+7 uUdW227y3GcDyR6/8UAGT0R2Y5GJSK51Vdx91xh1mxeWrPtx7Wf9PO9/t4HIsV4qHOZ959lhXmPe HBvuJL6fjFPjXl3ciExF5vJLuGsW8F1s2xemd3IVp0vq06GjLxE1nfZ8z7vzxXm27xZIZNZb7q6A duAjdz/VirlaswEAAAAAAAAAANAQ8Dxfuu5z1RryCmiJZ/v+Q4jIbtFlpN1KTb11PeHs0b1bs4g0 JW1Y107Do6SnT+zckzJ5VpjMnLx1WxrJe4zt5iEuRi5IPHuHiNbPHLK+gh5ycox2Ut2dK1nL3s1U 99/87m/NHLr+3dG07N9SU+ryjDqif1vFjoM3T6eZYzUZ569biI2MaeFcOgJZQNdO7ktTU8+kmv8R 4OQUOTbW4+jW/W8MeipqwMC+3Tq0a9syJLBp+H1DvsfqSC8VDfO+8+wwRYuujRT/fcnKlFKiSvOt NQhYpA7wdSoJkJEopUQy70CXkiQ1K1X8bf22Ix+5+6hOzNWbDQAAAAAAAAAAgIZAEASxyrMjGnIC muxFib/93/yV285mWIiIVH7NWzQPbSJLTSrVhnXtOKKD7MTR3btvTg0LvPLrrjvk3H9MRxdxAnh9 bjERBf7jo1c6OJebE07TpNRBlbuzI7Pxt2bVuL6Tu6ZMrQqp1kdDVJBnsBNvLDAQKd1cpH+/COfs 5UyUW6i3EhHr0vW9dStaLl+xae9fW5ee3rqUiFya9h49/aVJ0QFyB95xh3qpaJh0v3l2mNxZXo2M dU0CJqJ75c7LHquiR0c+crUXc/VmAwAAAAAAAAAA4JHTgBPQfMa2N6fMO2Xxj5nx6Zg+7SMaeShY slz9buShJH2pZoxL+xGdFUcP79mZ/EzXn/flkfuIMa3Vd5N/rMJFQUScNqJLj0b3qVXMsA4lU//W rBrXN+TqrETKUkdsRdl6IoVGwRKn1CqJsvJ1VoGo1PXtxbnFRDK16u77xLlFDn/jm+GvW3VpiXFn jh/Y8eu2A0tfO3f7m58/6K69by7T0V7KDZPoPvNcDdU5o0YBPwAHP3K1FnP1ZgMAAAAAAAAAAOCR 03AXYNpzT/xyykJB0+Z/PLV/u1APsfCxYDVYyzRkNG2Hd3WizL0bfl57UEd+g0Y0L0nzcq7NIlyJ bu79M8NW6hTbrbXPdIiKGr8xvYb1DqpxfdvFvZeKhP+2EQrjtp4yEAW1C5CT1DcyVEb2xH2X9KWa kCXtyLFsooD2gXIia9ruRf/68v+23rQQI9UERkY/Ne39JRvm93aiggNbk0wOROtIL5Wrap7rSM0C rjaHP3INKGYAAAAAAAAAAICGrOEmoInsRESmouKSJK698Pza+b9mE5FQOrfHaNoM766mrO1Ljhgo dNiQENl/f6ZsPmKwH9G1RR/8eEkv7iInGJN/+XzRFUHSbkS0d/V20CuvGtcv2vPxv/feFvfwE8yp u7/6dI+OZJ3HdvdgiXFuN7aXM+n3fvr173ebkD3/9LIPV9wiNnJ0jJ+EiOEz92/YuGrBsiPZ92ZE MN5OTDEQaXyrqh5it9/dPs+RXqpQ1TzXjRoGXH2OfuSo1KzWd8wAAAAAAAAAAAANVz1nw2xxC994 cUPZICQ+T7z6xmDf7mOjneYeXv/81Nynohs7FaclHN17ND+khYYu6Q4u+nbd5Mmju3iJp6pbDYvW 7N2pI4oY2T/gb6Uw5M2nfDL5xNQV8Qsn9lkfFtU6kL19+niSjpx7fvTRIJ+a5p+rcX3G3U+3472h x1ZFtfSxp8WfvV5I5NzjrXdjPFgiYjSdX3t/UNzr27e9O/TIqo6RAZKcy6cvplvIqdOb7w/x44hI EhD7bLcVc4/sfiP2TESnVoEae+7VU6dvFJNrv5eeaVphMpiVq2REmbvnz5O0bzNs6rDQ+/dSpSrm uW44MC21iHV36CNXblbrM2YAAAAAAAAAAICGrL5XQBuSTh4t5/BfV4vsxHkN+GjZ+0938sw6uG7p 9xsPJ3Od3163ZeW/3hscLCs+t3XL6dz/1rdQhQ9opyDi2o/tXTapzKgiZy7d+MVzAzo0UWSePrA/ Ltet3VNvLP35i1ifWsm+O3p9bY85Py6Y9WSI/eaJP89mKpt2GvzP//z0xVC/e2lc1r3X3HUr3326 V2tt/oWD+0+mcU26DHnxP5vmjw6+m1zmvJ78Yt23/xzYOoC/eXL/nr1Hkwx+Xce8vWTtB/28Kk5r ykKGT4sNVRWd37H+txPZNod6qVIV81xHahhw9Tj2kSs/q/UZMwAAAAAAAAAAQAPGCGVLCzySjPFf DJu8SR/97+1f9dI2tI3dzAlfDZuw3jpsxbb3IhX1HUzNNOh5BgAAAAAAAAAAgLqXkpKiUqkYhmFZ tur/sixb3yugawV/54+l23JI03tsFLKidQjzDAAAAAAAAAAAANXxiO+IZrm54YPPdl2+fPGWiRpP fraNur4DekxhngEAAAAAAAAAAKD6HvUV0IIl5+rFW1bfjhO+WjA+FBV26wrmGQAAAAAAAAAAAKrt MakBDQAAAAAAAAAAAAAPwf9eDWgAAAAAAAAAAAAAaHiQgAYAAAAAAAAAAACAOoEENAAAAAAAAAAA AADUCSSgAQAAAAAAAAAAAKBOIAENAAAAAAAAAAAAAHUCCWgAAAAAAAAAAAAAqBNIQAMAAAAAAAAA AABAnZDUS6/p6en10i8AAAAAAAAAAAAA+Pn5PZyO6icB/dCGBwAAAAAAAAAAAAD1BSU4AAAAAAAA AAAAAKBOIAENAAAAAAAAAAAAAHUCCWgAAAAAAAAAAAAAqBNIQAMAAAAAAAAAAABAnUACGgAAAAAA AAAAAADqBBLQAAAAAAAAAAAAAFAnkIAGAAAAAAAAAAAAgDqBBDQAAAAAAAAAAAAA1AkkoAEAAAAA AAAAAACgTiABDQAAAAAAAAAAAAB1AgloAAAAAAAAAAAAAKgTSEADAAAAAAAAAAAAQJ1AAhoAAAAA AAAAAAAA6gQS0AAAAAAAAAAAAABQJ5CABgAAAAAAAAAAAIA6gQQ0AAAAAAAAAAAAANQJJKABAAAA AAAAAAAAoE4gAQ0AAAAAAAAAAAAAdQIJaAAAAAAAAAAAAACoE0hAAwAAAAAAAAAAAECdQAIaAAAA AAAAAAAAAOoEEtAAAAAAAAAAAAAAUCeQgAYAAAAAAAAAAACAOiGpn25NF78YOvn85N9+HOPH1U8E 9cFu0eXcycrJ15usvMBJlSpXD29vD40MdwEAAAAAAAAAAADgcVRPCej/PYIlLyXpRq655ABvNeqy UnVZWe4hTYPdZEw9xgYAAAAAAAAAAABQF5CAfih4/W0x+8w4eQYFers6SclqKLiTmpJtMOfeSJLI wgPU/0NLwQEAAAAAAAAAAOB/QkOr/mDXXdz4wcSB0R2iojr3Hf3GyjidncgY90m/btN35drFJpm/ TOw66JtEC5FdF7/23fGx3aKiugyY+MHGhCI7EQn5uydHT9p8dvN7o2NGLkyylL687o/nosevO7Lp w8lDekR17PP03F9vmCvvV2w/7sc/Vrw6qk/HTjFj39mYcG33vGdju0ZF9X76o13ptntBVxBGKYIp +9YdMxFJ3BqHBXmo5RzLcnK1e1BYYzcJEZnv3Mo2CXU6rwAAAAAAAAAAAAAPXQNLQBvjv33ly5O+ Y+YuWrH4k3HB5xfOXpFkIWXT2K7KhB1xhQIR2e8c2XLVo39sY5nl+g8zZyzXdX/lPz+s+HJC4Ll/ z3hvd5aY+7Uk//DRz/beM2Y94Vt2jbf5yqp/HQ2a+tXadV8Mtu/+4otDeUJl/RIRkeny0iWZfd9f ufbzJy2/fznh2XVO4+ev/2Fu19yt81cmmIioijBEgjk/10hERAqtSkL24vTEc+cupRXbSaJyUYjj zs03IwMNAAAAAAAAAAAAj5eGVYJDENTtn509JHZIay1L1IQ9vObVdJ2NyKlZbBfZ69svFPWJVt05 suWa14C5jWSmyxs23O4457tpvV0YooimbhnDp/58InfAIAmRzaj5x78/GV3RDod2IWDS2xO7erPU eMKEFpuW3SywkWsl/cqIiJw6v/TP2JbOZB05qNGGTZ3enNGnmYKCx/b+v/03cq1EVEkYgz3vJfft 5uK7pZ/118+fISKSaHwbeTmxZCsqEDPTZC4220mBKhwAAAAAAAAAAADwGGlYCWjGqcmAp5wunt6x 7lLCxbgTf50pEPoQEZEqYmAnyTvbL+q7hvy19ZpP7AfBMnv+tYRsfeI7T3bnxA387Gaz1T+t0Ebu RFKfqNYeFadzpZ4tm2pZIiJWqpQyRCRU3i8RSVwbecrF5gqJ1D3UQ1b6XLLrKgvDU1bJKBV+zZr4 KgRTXuqNm/l8zWcNAAAAAAAAAAAAoEFqWAloe+6heVPf2SfvHDug98AXRw785fk5evEnqhYDo2ju zos3Irde8x34YaCUyC4InPfYBUsnhZZkehnOyUVGRUSM7G5+uAJShazsjyrvV7wsVfaCqgijBCtX yanQVPLaVpydfpuMuVmF1pJjcpW8gVVDAQAAAAAAAAAAAKihBpX1FApO/bC9eOA3K75+c9Lgbi18 JEbzvVrKjLrVoLb80dUrNiQHDO4bKCViNSGN1XkJaYyrh4eHh4e7Mm3dBx//mvYgK4qr6Pe+HAiD kbu6K0u9Vrj7+vv7ustLHVK6u8orS5gDAAAAAAAAAAAAPJrqcQW0XZ+acP589r1CGYzSt5m/m7ey MP7AsSteEdzN35d8+nuRITI12xgVrGQZ59aDW5ve+D2l8Ut9/CVERE4tnh7mO+7zl76gl4c0pfM/ fLTmZp8lATIiQ3UjYRSV9evAyZWGUfr6nkFeOVeyzJVcQu4d5KlA/hkAAAAAAAAAAAAeM/VZgiP9 p7en/fTfl0EzNm2Y9PLc0e98/t4za2V+7QZNn/el9pM5X723sf3KiY2kjKb1wEjuiG5ob/+7Qcub z1j6nfzTrxa/tjlP4tNuyEffvdjaiSGh+pE4tauk32EOnFxJGH/DqQPCQvirN3LN9N+tCO+e7h4S 5q/G9oMAAAAAAAAAAADw2GEE4QEStvXCkvTdqIlHn/ll9Wi/RzRdazfrcu7cySnQG612YqVKtdbd y9vTBdWfAQAAAAAAAAAA4FGRkpKiUqkYhmFZtur/sizbsDYhrIxdd+3c6cPLf8pu8VpPn0c0+0xE rFzjFaTxCqrvOAAAAAAAAAAAAAAehkcjAW259dvHs3coer82r783lgsDAAAAAAAAAAAAPBIeoRIc AAAAAAAAAAAAAFDPqlWCA+uJAQAAAAAAAAAAAKBOIAENAAAAAAAAAAAAAHUCCWgAAAAAAAAAAAAA qBNIQAMAAAAAAAAAAABAnUACGgAAAAAAAAAAAADqBBLQAAAAAAAAAAAAAFAnJPXVscViSUtL0+l0 PM/XVwzwP47jOGdnZ39/f4VCUd+xAAAAAAAAAAAAPIbqJwFtsVguX77s5uYWFBQkkdRbEhz+x9ls tuLi4qSkpObNm8tksvoOBwAAAAAAAAAA4HFTP8nftLQ0Nzc3Nzc3iUTCMEy9xAAgCIJCoWAYJi0t LTQ0tL7DAQAAAAAAAAAAeNzUTwK6sLCwSZMmMpmM4zgkoKG+CILAsqyLi0tycnJ9xwIAAAAAAAAA APAYqp9NCO12u1wuR/YZ6hfDMBzHyeVyFCIHAAAAAAAAAACoC/WTgCYihmGQfYZ6h88hAAAAAAAA AABA3am3BDQAAAAAAAAAAAAAPN6QgAYAAAAAAAAAAACAOoEENAAAAAAAAAAAAADUicclAW0vvLTr lwOp5vqOAwAAAAAAAAAAAADuelwS0LwuYdfm/bcsQn0HAgAAAAAAAAAAAACixyUBDQAAAAAAAAAA AAANjKS+AyhFf/z953+Nmtk5ccPWs5lsQMdRM0eo93+/5uDVPFlw78lvTuvhyRGRXZ+0c9mK7aev 59ldm3QbNmVS/8by9M1vvLYpk+jbKVMvfPzdjKa2q3tXrfztZHKukXUObD/ouRlPNVcz5Tu0Zp/a +P3a/ZfSDU7+rfqOmz6qvbuEKu5CVcHpAAAAAAAAAAAAAFAF7oMPPnj4vWZkZHh7e3Mc97ejlrSD m3cdTfMZMnPmyDbWIxs3/XYop8X4l6YPCcvbt+n3wjb9ozwk1rQtH8z+je09efr4QR3cM/etXp/g 07NHy7Z9OgpHD9onL/5quL/UcmXFu1/HNxo+dfKY/m3cMvet323s0K+16987I8GYsOLNeQec+k6d Ob5fc+H8T8t3FLWOaetecRfdgpVIQT+m7Hb7nTt3/Pz86jsQAAAAAAAAAACAR0BhYaFMJmMc05BW QBMRo4wc/0x0mIps/Xr5794dOXl0pxA5+cV2XHfidqGNiG7s2nWn1YzZozo6M0SNg12yE+fuiS/s 3kvNsgwRy7EMIwhOLYZN7x3du5kzSxTEnNn2ZZbeRiT9e1eGhG2H9a2mvTymmytL1Pgla9KLq3dc Hdu0aWolXbgiAw0AAAAAAAAAAABQDQ0sAc1p/F1lRESMRMZJtAGuUiIiVqKQMEREdv2t5HzD9fkz xnNiNthusdi87xTZSP3fazCKoO4xiqsXD+9ITr56Of7spSKhExEJRSfmvfDVeSMRo+ny3n/+6X4z 3eYd00QjVsFmXZq09DAfT9FZ/SrrwrVMBhsAAAAAAAAAAAAAqtLAEtBExFT6gogEQeDcn3z3o6cC SgJnOIWzlOz/bWMvOLV07jfHZJHR3Tv1fKZfz98/WWAgIkbd5vl//8dsJ2JYhVZB2WUuz7BEJNgr 7wIAAAAAAAAAAAAAqoOt7wCqhVX7BzkVJmeSxtXV1dVVq7iz87vF++7wpdsIRRe3HjRGv/3JW5Of 6tW2iQdnsghERMTItZ7e3t7e3l6eLjJGom3kJ7kTn6wTf2gvvBqfI/MLcpE60AUAAAAAAAAAAAAA 3N+jlYAmRZPYGM+k5Z8v/z3u6tVzO76bv+22V4S3lIghYuz6jPRcvU3m4qHQJ52Mu5GdfStu63eL jhUb8zPzzfYyl3IKH9RDFb90wcajidcS/lr/7YpEl16DmjlV3gUAAAAAAAAAAAAAVEfDK8FRNVnI mA/nyL5ftfHLfYWcR3ifF+Y800zJEHEekZ2b7N005/2iT7+eMG5m/2+WffvWdplXePSol19zXvyf Vd/ujvh0qH/p0TJOLZ795HXl4rXLPvrF6OTXMvatj0c1U1TRBQAAAAAAAAAAAABUByMIwsPv9cyZ M5GRkVIp1hVD/bNarfHx8e3bt6/vQAAAAAAAAAAAAB4BKSkpKpWKYRiWZav+L8uyj1gJDgAAAAAA AAAAAAB4VCABDQAAAAAAAAAAAAB1AgloAAAAAAAAAAAAAKgTSEADAAAAAAAAAAAAQJ1AAhoAAAAA AAAAAAAA6kT9JKBZlrXZbPXSNUAZNpuN47j6jgIAAAAAAAAAAOAxVD8JaI1Gk5+fLwhCvfQOUEIQ hPz8fI1GU9+BAAAAAAAAAAAAPIbqJwHt7++fk5OTmZlpsVjqJQAAIrJYLJmZmTk5Of7+/vUdCwAA AAAAAAAAwGOIqa9lyBaLJS0tTafT8TxfLwEAcByn0Wj8/f3lcnl9xwIAAAAAAAAAAPBoSElJUalU DMOwLFv1f1mWldRXlDKZLDT0/9m787goy/WP49czM8wMDDsIKoob4o4bLrngWi6ZpbZZaqUdt/rZ Zllqlkul2aZ2zD0zSzMzs1JbtFwrS1RUNAQVRQWUfZ/t+f0BIsLgUZMG9fP+47zieea57+u5h855 vb7c57rrOmt2AAAAAAAAAEBFc04LDgAAAAAAAADALY8AGgAAAAAAAABQIQigAQAAAAAAAAAVggAa AAAAAAAAAFAhCKABAAAAAAAAABWCABoAAAAAAAAAUCEIoAEAAAAAAAAAFYIAGgAAAAAAAABQIQig AQAAAAAAAAAVggAaAAAAAAAAAFAhCKABAAAAAAAAABWCABoAAAAAAAAAUCEIoAEAAAAAAAAAFYIA GgAAAAAAAABQIQigAQAAAAAAAAAVggAaAAAAAAAAAFAhCKABAAAAAAAAABWCABoAAAAAAAAAUCEI oAEAAAAAAAAAFYIAGgAAAAAAAABQIQigAQAAAAAAAAAVggAaAAAAAAAAAFAhCKABAAAAAAAAABXC mQG0Le3gupljHujdOTw8vOOdA0dO+3xPsrnwlj1x7aMdBq86axN76t7VSzfE5Tuxzootxnx80YC2 9y2IM5e4lvvnxIi2wzenqaKmbhoefpl23Qc+PXfLGbOISP6hWb3aPvLFWdv/fgdzZvLp2Oio/ZF7 9+7dHxV97HRyptl+I98DAAAAAAAAAErROWtia+KmyUNf/VnaPDT0xbEhvtaz+zateH/ssKNvr3yt u79W3ELvfuTuhu6KWNP3frH0D99B99QzKs6q1cnFKC6tXpg3rqlRRFRL9rnINe98NOFFz7WfPF77 6p5XzanxMSdSCoov2Cx5mcmnM5OT/eqE1vLVO21dAQAAAAAAANzanBRA2y9seevNnz0emb/s2bbe hbuwO/Xo2WraA8/MWvJAh5ebGT3DHnk6TETEfMVx/hUaZxej867buGlTt8IfmrUItf/ea/KWyNRh tb2u4mFb9pnC9FlxqxJcM9DHzUUsuelJp+PP5xaknIjR6RvVcNdWaPkAAAAAAAAAblPOacFhT/p1 5W/aO8c/2cb7UgEa7/bPzp07uZe/ooo9ef2wjoNXxcctG/zgotPmAxN73jn9QF6JEdS0zcMjHl8X uW7Sgz3u/2+MWcSeGfXZxKF9O4aH39H7sdfXRGfZRSQ3ckqvAbM3fjFtRP/ObTr0euSVzw9lFjWe MJ/bNvepQT3ahbfv+cC4/+5IshSOmxv79fQn+nYMDw+P6D927rZkq5RbjMMRLi8sas+MuzqO2pRS OKc98avHOvT74Mg/y7EVvclVp7gYrupvB2r++VNJBSKi861XP9jf3aDVaLQGd7/g+vV8dSJSkHTq fL76j+oBAAAAAAAAAMecE0DnndgVJ6HdG3sUdX9Q7TabzWYTj9B2HcICL/WEcKn9+Gefj6ihD5v+ w+ZJYa6lRjHHrZi21t5t9Ng7q+nMx1eMGb00s9Nz81Yse3tYzX3vjJ60OdkuImI5vWbaiqwuz89Z MGNwtX3vjRy//qxN1JzId4e/sNbS/aX5y/87PiJ39XMj5kTliphjljz/5g7f+19fsGTus+2TV746 c3em6rAYYzkjXF5YnSZ9O7hGf78/QxURe9Kub4759+pbT3+t66VarTabzWazWfPTT+3+dPFeY+eH 2vhcxXenFqSlFOb2Rm+TTuw5Z4/s23c4IccuOpOXsfC7SEkrIIEGAAAAAAAAUAGc0oJDLUjPsBj8 vS4mzdk7nur2/J9FKah774UbZ7S8+FGNRqdVRNFqtZoyrYqteZ6PvDPjwepakfyoD7840/bV+SO7 eSkijUN9zw18cu0fKb17iKji3Xfq68PCTSKtGvmeG/CfVT+d6T8g/tONGW0nfjqml79GpPGb5qj7 3lt1aGxYk5TjqYaGve7tEe6naR1ao0anpGouIvkOismKdDxCm8sLk5y+d+jHf3cwq3uEKWnXN7EB vafUvtb8Wc37ZVz3diUuVB344bw7A67mbwf2gpyi1s/Zxw/sFRHReVarHeCmEWtWetGO8oKcArsY 6cIBAAAAAAAA4EZzSgCt6D1M2vyUlHxV3BQRcWv58ifLs+wiBTGLx//3qodxqRre3F8rImLPjI0+ n33klT6dtIUxtb2gwBKUkGEVEcUlpFOoqfAJt/pdmhg2Rp3JiYiJt9S4r0lRAxCNT9M2VfO3HEu1 hjcdeo7uYOEAACAASURBVH/wUxP79FvdvVunTl17dm9d01WxZ5Wd25JSzghtTCULEzE1vrud7pXv DmV3qLNzQ2zVvq/Xuub9zyUPIbTlntuzcubCKR/2WT+ppdu1jiTG6g1CqhnV/NTTJ06m2a75cQAA AAAAAAC4Bs45hNBYu11tdeHPBzN7d/FSRDQetRo3FRF78vGsXLvH1Y6i6F1dirZF21VVG/jw3MWP 1y2OdxWtm5deoko/oyh2m6pK6aYTGhHVbheNZ+tnV/48MHL7rzt2bZ8/dv4HXaaunNXH4V7jckYo VZiIqcnd4TJl46ETYRtiq909taZLmYo0ithtl6fBdqsqGu3FeS8/hLBJ4NkfH1j32xlzy/oOl+Wy ogwmg2TkF/9szTl/9ozkpSRnWIqvGUwG5zRiAQAAAAAAAHCLc070qKvec3Ar67Y5yyIvHgkoIvbM Pxd/FGW7nn7EGs869dxToxMUH39/f39/P9eEz1+f/nWCTUREtcTujMkp/Fxu3I7o/MCmVU1+obVc zvwRnV50OGDaoT2J+tohvkrytoWzlx/1bNV32HNvLPlqySDtji//SrM7mNGlnBHKBvqKe7N+LW27 P1n2RVyNe3qWyZ9F5127qjZp74EL1otX1NzYXYfzfEKqGsp0HRER0XoEeih5qbmOyiozucHHr2Tr bKNftaCgan6GEpdc/XwczwMAAAAAAAAA/4xzdkCLtmrfKS9uHfLmqEF/Pzi0b3iIt/n0vo2frD1Z s6nnics/qYgotsz4U0mZboGe+vKSUrcmgwdUGzLzmVnybP9QObBi2sqT3RfV0BcOkLZhytQ6Lw9u Yota9faa9LAJfYJdPAKG9PEY9dbkhZqREf7JW+fPjvTtv6y5u8aixH47f0O668SHmxsS96zdkerT qaabxlExAa0cjiCSVro2xaP5Pc3zX/wpvt4z3YMcBNTeHZ4eWnPYrFEvnR/er0V1l8zYHV8sXJfV YcpjjY1l91mLiKLVadWc1BybiFZE7Nmnow8cOH+xh7PiWq1B/YDiSFkxVgkOuPB3ckE5C2cIDK5i JH8GAAAAAAAAUBGcFECLuNQYOHtV1c8WrPxp9dtrLrjUaNyy08iFMyISJz3xy2Wf0wW269F07aLh IzOWrxnf1FjecIaGoxfPN7zx7oIX1qXqqrbqP23+uOZuiuSKKO6dXnrc/bs3n5qT7h4S8czCyYOC dCLurccvm22aMW/mmKU57rXaPvz+0pFhbiLS8eWZT057Z+FzT2TbXQPDer0y99kwNznvsBjHIzhK jD2b3x2m3ZV5bzcH+bOI4tZ45KIl/h9+uOq/k5elW9wC6oc/NPOTJ3pUK+9cQEPVej7mjWt3XWgf ISJydvXLI1dfuhs8+ssvnqxzaaO11r1G/Tq2YydSCuTSUYRFA/nVqR/kzvGDAAAAAAAAACqGoqrX 0/PiZpEbOeWeF8xvfT+z7bUf2HfjmGPmP/DY7ke/+uTB6s5Ke+0FmReSki6kZ+dZ7KJxcXX39gsI rOJF92cAAAAAAAAA1yQ+Pt5kMimKotForvyfGo3GaTugbxP2zNh9f21fuvp8kxe6VHXiXmONwTMg 2DMg2HkVAAAAAAAAALjtEEBXLPOp9dMnf2/s9sKbvQLZbQwAAAAAAADgtnKLt+AAAAAAAAAAANxA 19SCg125AAAAAAAAAIAKQQANAAAAAAAAAKgQBNAAAAAAAAAAgApBAA0AAAAAAAAAqBAE0AAAAAAA AACACkEADQAAAAAAAACoEDpnTWw2mxMSEjIzM202m7NqAADcArRarYeHR1BQkNFodHYtAAAAAADg Ms4JoM1m89GjR319fYODg3U6p4XgAIBbgNVqzcnJiYmJadiwoV6vd3Y5AAAAAADgEueEvwkJCb6+ vr6+vjqdTlEUp9QAALg1qKpqNBoVRUlISKhbt66zywEAAAAAAJc4J4DOyMgICQnR6/VarZYAGgDw T6iqqtFovLy84uLinF0LAAAAAAC4jHMOIbTb7QaDgfQZAPDPKYqi1WoNBgOHCgAAAAAAUNk4J4AW EUVRSJ8BADcE/5sCAAAAAEDl5LQAGgAAAAAAAABwayOABgAAAAAAAABUCAJoAAAAAAAAAECFqHwB dM7+ea9/eTrt99eGPLM2wfpvz2u5lkeyi4q0X/hxwqMvbky2iT3j8KavfjldUPLulabLOjB7yIMP Dp66M0MtcU/N+nPmow8++ND0vbkiYk/5+eUHy3ho2l+5UnBs6ciHXtx03vGpW85ayX/GfPyTsY+9 tS/P0b3r+I5KKfkFAQAAAAAAAKhgOmcXUFreyT8u1L+zqkuyk+a9lmdcqnXo262qh0bR1Yq4O6KO m0ZsmdGb1kV53tW1puHKh2EVTafLEhGx/b0tOqvjHZ5Fj6i5sduiLSIlRlBcWz350qDa+ktXNKbq xqt7o397JSvO9XxHpVz1FwQAAAAAAADgn6tsAXTBqT1na3cIcpF/OTYtnvdaGGr1eqSWiIg0uPuR BiIiV7s5t3i6o6LRBtYzxW77O7t9G4/CTDQ/bvtRXa3qLmdKPKDzDg6pX99QepirmeKWCaCv6zsC AAAAAAAA4DyVLIA2n/nrZPW2DxvEJiJq/umf5s37+vcTGfrgTo8+N6pnkF5ELOf/XLPws62Hz+a6 BTXrOWTUA639dCLZv7/21NfhY9of+WJDZKKmRtsHxgxy37pw5a/HUvW1ug1/aWTnKloRsWfHbFyy 7Lu/jqfafUI6DhjxeK96JuWyedX8U1uXL/xy57FUs7FKs7seHzu4jZ8kb3z5uW13znnrLn+NiD3l p1ee+an7+2/1qpL3+2ujVzWb+e5At22Txm3u/Pa4/Ldf+DJRZM6IJw9Onz+k3Fe4NJ2IiEu1dm3O bvg1Jje8tUkRkfwTOw7rWvSpue/L3JtqJY3n1o9//ue2s94fXMvFcuLTZyZ8qx30znsPBbuY4z55 ZmJU3zlv3+OX6mBGNXPnlP/bFDGhW/SSVSfbTJnRrsQ7/PD2pE/z7pk6eWA9V6X4ja67QsPZdS+W +IJGh1qP/bj84/V74lLyNB41W/f7z+j7GrqX2hhtT/vt3ecXWoe/N6Gzr8aWuOm1FzfUmvBGp10T 3kgc9uGUzt6KiP3CT5Of+brR9FktNzw9bXeJ3iE+vd+cNzxELwAAAAAAAMDtqnL1gLYk7j1WpX0d 16Ifvlt+IHjwpJlTx3Sy71y2bG+WKmpe9PLJs3+0tBs++Y3JT4Tnb5z16qcx+YUP559Y++X59mPf mPVcJ8tvy16Z9L2x/4TZb41pkf7LinWxBSJiSdgwfeq6nFaPTXprxgv9qx79eOrcnan2y+a1nFz7 9qK93r2eem3axGEtUr+bt3RftlpetaXpqg+YNXtQoEuD/1u0aFSooZxXKP2aIvqgO1obj26PLYwu C+J3HZSwzrVKtYhQbZezX7ksJ6yk4h/WwiflQEyGXewZsdEpIklRcdmq2NJjDqX7t2rmay5/RvOp DR/9aG/34MMd/C/+ScR2YddHU1ekdJvw8sB6rkqpN7q+CjVBl31BBX9/OmvpwSq9R0+Z8dq4e6r9 vWru1yfLbGHX+LR9YljI0U8+3ZdpTdm5bE1y+5EPN/Gt07mFIXb70SxVROwp+7bGe3fsXNO94X/m Liw058Xufopvq9aBbNcGAAAAAADAba1S7YC2nd8X7dWu98VgVtNg8Mh7WvhqJHjgPT9s/eZcpk00 0d9uz2428tmHOvpoROo9Y4kZ98n3xx4ObSYiimvY0Ecj6pvEelfXoM2bw4Y/2K6OQar3bfv5H2cy rCJyYtOmpGajJz/Q1kMRqVfL6/yRKT9EZXTq6mMvnjc/PSFDX6djt3ZNvDWNawcGtkypci0RoqLR aBQRjVajKOW9goeu1GuK6Gt2bOkye/vxvOZNXc0Ju/fbmoyubdxecmA165fXH/+l5JWgwR/MHuBX uVayXXhj1y1/nczr6XZ6//mqHZrnHog8ld+17snIRFPTVtUs0R84nLGpiNgK3PuNH9crQCtiPi4i 9sz9n0ybe6DBuNlDmhU2Jrn8ja77u3a/9AWpqluTAaO6RXRr4KERCVb2fvt2crZVpPQXrvWPeHLw 1pcWLVlVO/pE2Kh3WngoInUiWujf2RaT0y7cNWXf1lO+nccEuSg6Fy8fk4iatW/B0u3G+6YOC/Og 0TQAAAAAAABua5UpgLalHIhybdv1YhMEnV/9Wh6FO7R1ep0iImJNP3nWGtgjxLPwssYrpKl/we/x mbZmJhGtZ5CPXkRE0em1Ou8aPi4iIhqdsfBZe/apuLTc4++PHqotnMBuNlsDk7Ks4plWPK8x9J67 qs74YNTYje3btW7Vpn3bJlUNiu2638jBK5R5TRFRDLU6Nde8v+NkftOQxN8j8xsOr+uqXBZAlzmE UGP0r6IVe+VaSWNwuxBZEpmQ7XvolCFsRNfk/Z9HJWYb98VrG/QJ1qZvdjxjU1cRnX+TUB/txfLV vAOL5hwS1a5PzrWLn7bsG133d+1eYk2NwZ16GI8d2v59XNyxo1GRh7PUdiKiZv3x5tPvHsgTUTzv mDTvuTBX0VbtMWrQ1uc/i275f3NbeykiIq71IpppPth2LLdljchfTvlHjK1+Mbe2Xdg+f+7uKo/O vL++K/EzAAAAAAAAbnOVKIC2px+M1LUZU7xpVNEZXRwleCWvKRoRUe2ObknpZ1VV1fr1mTjtvhrF L61ojR4uJedVTE2Gzlra88jePXsj966avmpF+FOznu90+TDWAuvVduVw9AqlX1NERAy1I5qp83bE Z7sf2JMTOrS+m3L68qeu6RBCZ62kooS0r5n77aHjNaJzawysG5oWmLnlyHG3o/m1BtZ1k5wrzKi4 XF6hqfmoGYNzP3xp1fKdERO7+WkdLNp1VVgysren/7l4yge/6cMiOrXr8uhdXX6aMTdXRBT3Fk+9 M6/ALqJojN7GwuGsWalZIgVJZ9Mt4mMQEXEN6dJUPtwRm9Dgl1NVIp6uVjSP5fT37y8+2mjUO705 LBEAAAAAAACoRD2g1czov9TWTb2uVJHOu3Z1XVJUXGZhAmzPOBZ1QV892Et7hWcu0rgHBbtlxCWK p4+Pj4+PtzFp4/wFPyfZSs5rS/lzzcffnHBv3PneYc9MmzPtTm3kj4cLJ7sYO6u5p4+cL9Mp+B+/ pmudiCbWfdv27vo9s16XUNM/2jrrrJUU0Xg1ahtwYfevO5P8W9QyeYeGeSfu+PW31MB2oR7KNcyo uIbe2T6oZs8Rfb0Prlx1MFu9mje6ugpLrFLWoQ2/5kW8PGPC8Pu6tgzx1+abCytTDN5VAgMDAwMD qnjpFRFR82O/WvCL18Anu+ZtWPjjGWvhp9zqd21k279+3abTgV3vqKoTEVHz/l79zqqUTs+M6eR3 NQsJAAAAAAAA3OoqTQCtZv+9J795M98rB3dujfp1NkUtnrtm95HY6J2r5iw74tW1XwO3q5rBGNK3 R5WYpTOX/rT/2LF9389//9szAY0DXUrOq9Erp35d9eGyTfuOxR3+bdPGyAzP2lVddaZAf+X0T9/t OZGYcPiHZSuPFijlBcSKiGLPPnc2JdvieJd0ua/pVq9Lo/xfP9mQXLtrIwedgy1pJ2P+vkxcUl5h Ip6XGFviVkx8SupR56ykiGj9m7VwP70r1qVhfW+tS2BYPYnbdcozvKmv9jpmNNS7b0Rn2b70m+Mp V/O7cVUVXvqCrHovf2N2zJ79J86fP7V/w/yPfsvJS0tMKyjT1qTg5DcfbdbcPWpAz0dHtE5es+TX 8zYREcUU2rVBweHfzlbt1i5QKyJqZuSyd7+zdB85oI6alZmZmZmZlVPObwEAAAAAAABwm6gsLTjU 3GO/ZzUdWOV/ZIyKW5MnZox3XfDZkmlf5blVb9p3wvQHGhivcg59nYemvqpfuHzN2z9naP0bdX/6 1UcbGHP3lZhX8Wj55HODPvp4zcxJuarBr0Gn/0wcEmoUJeyxkd3f/+SDCVs8glvf88Tw3LkbyplC 6x/WPuTHL199LeuN9x5w9IHyX9OtfpeGmj8i63Zt7Fk2f1bz9y2dvu+yS6YuUxc8qROR5E3vv7bp 0vVqdw8Nzmr64L++koUNj12qt25i+u632s2q6UXUmq1rKbvPNWsR6HKFGcvPaBWPsEeGNHtm0dwF tT2bjv1fb3RVFZb8goYNGdPrgyVzJnynD2gU8cCzL3gsmLd8zubGb9wbVOLfCsvpjfM3FPR4tX9t g0ZpPfTRkOdXfvxH6/EdfDSKe4Muodp92d3bBmhFRMzn/oxMV7N+mvl/P118uN6YhW9286ETNAAA AAAAAG5biqo6YZPm3r17w8LCXFxu8ja5Wb+9NmZ1s5nv3l+jsuT4+BdZ4lc9/8r+uz94s3cADTeA SsBisURFRbVu3drZhQAAAAAAcIuLj483mUyKomg0miv/p0ajITm9Xracs0cPJ1t1Bh07XG879uxT Rw7/tW5zashjbfxJnwEAAAAAAIByVJoe0Debgpjlr72z3bXzfe2vqTUEbgmWc1sWzP02o9Xj/+no x79CAAAAAAAAQHlowQEAuBXQggMAAAAAgH/HNbXgYPsmAAAAAAAAAKBCEEADAAAAAAAAACqEcwJo jUZjtVqdMjUA4JZktVq1WpryAwAAAABQuTgngPb09ExLS3NK+2kAwK1HVdW0tDRPT09nFwIAAAAA AC6jc8qsQUFBMTExiqL4+fnp9Xqn1AAAuDWYzeaUlJQLFy40aNDA2bUAAAAAAHB7sdvthw8fjomJ ycvLM5lMISEhLVq0KBn5Ks7ahmw2mxMSEjIzM202m1MKAADcGrRaraenZ1BQkMFgcHYtAAAAAADc +uLj400mk6IoIvLjjz9qtdo6dep4eHjk5ubGx8dbLJZ7771Xq9VqNBqNRuO0ABoAAAAAAAAAcNMp DqCjo6OTkpLCwsKKQ2ZVVQ8fPhwcHNyyZcvCANo5PaABAAAAAAAAADe1Y8eO1a1bV0QURSncEC0i tWrVOnz4cPFnCKABAAAAAAAAANcsPz/fw8NDRFRVLd4EbTKZcnJyij9DAA0AAAAAAAAAuGaqqhZv fC5W6goBNAAAAAAAAACgQhBAAwAAAAAAAAAqBAE0AAAAAAAAAKBCEEADAAAAAAAAACoEATQAAAAA AAAA4PopilL2NMJCBNAAAAAAAAAAgApBAA0AAAAAAAAAqBAE0AAAAAAAAACACqFzdgEAAAAAAAAA gJuYqqrl3WIHNAAAAAAAAACgQhBAAwAAAAAAAAAqBAE0AAAAAAAAAOD6KYqiKIrDWwTQAAAAAAAA AIAKQQANAAAAAAAAAKgQBNAAAAAAAAAAgApBAA0AAAAAAAAAqBAE0AAAAAAAAACA61R8/KDDcwgJ oAEAAAAAAAAA10lV1VL/UBIBNAAAAAAAAACgQhBAAwAAAAAAAAAqhJMCaDV10/Dwy7TrPvDpuVvO mCt6Znvi2kc7DF511ib21L2rl26Iy6/oGcuTGzmlZ4/Je3P/x8fy9k+7q/vLe3JLVP5PVNhbq7mx P23464L1Op7MO3so8u9Uq4io2dHrlq49lGW/cVXFrF+6Zn+63ZK4e8P20/kO/k8AF9nNmcmnY6Oj 9kfu3bt3f1T0sdPJmeYbVggAAAAAAABwa7pyD2jdv1tMSYpLqxfmjWtqFBHVkn0ucs07H0140XPt J4/XdqnIad1C737k7obuiljT936x9A/fQffUMzpYmEqouPJ/oqLe2nz2r/22xn39ruMXyp5/7tC+ M66NG/jqxMWvfrNQf/2N/0JcApqF/Pnj/gvV2ldxUKJqTo2POZFSUHzBZsnLTD6dmZzsVye0lm8F 1AMAAAAAAADcGq7cA9qJAbTovOs2btrUrfCHZi1C7b/3mrwlMnVY7cAK3Jet8Qx75OkwEZEK32x9 g12qvPJRc+P3n/Fq1s7tHya1iiGwWdvAG1NTKRr32g2N3xw427JnsKHULVv2mcL0WXGrElwz0MfN RSy56Umn48/nFqSciNHpG9Vw11ZIUQAAAAAAAMAtQ1GUshl05ekBrehNrjrFxaATEbFnRn02cWjf juHhd/R+7PU10Vl2EcmNnNJrwOyNX0wb0b9zmw69Hnnl80OZRS0SzOe2zX1qUI924e17PjDuvzuS LCIioubGfj39ib4dw8PDI/qPnbst2SpiT14/rOPgVfFxywY/uOi0+cDEnndOP5BXzghq2ubhEY+v i1w36cEe9/83as+MuzqO2pRSOKc98avHOvT74MhlObajGW1nVw3u8OjaxKLHkr4a0vGRNeeKGmmY z/zw1vC7O4XfcedD45dFphV9Jit69aQhvTu06dB32Gvrjxf1jSiq/Kzt8qpizOUsl4iYz259b8yA bm3DI+4ZPm19bK75ZIW8tag58YdTfUIDLya7tuyTf2xcs2LJoiUr1mzacyrbLiJiOffLytW7jx3a tmHVskVLV37188HkAlXs6fu++nJvpi1xy4oV2xPNOUe/XlbUgsPhIFJwfMPH6w6eiv71m1XLFi3+ ZO0vR9MLu36oBcmHf13/+ceLFi1asuLLH/cnFpT6XVdcg+qbzh0+W7r7iJp//lRSgYjofOvVD/Z3 N2g1Gq3B3S+4fj1fnYgUJJ06f6XWHQAAAAAAAMDtzGHnjWJODaBVq9Vms9lsNmt++qndny7ea+z8 UBsfjZiPrxgzemlmp+fmrVj29rCa+94ZPWlzcmGIeXrNtBVZXZ6fs2DG4Gr73hs5fv1Zm6g5ke8O f2GtpftL85f/d3xE7urnRsyJyhUxxyx5/s0dvve/vmDJ3GfbJ698debuzItBokvtxz/7fEQNfdj0 HzZPCjOWM4KIiDluxbS19m6jx95Zp0nfDq7R3+/PUEXEnrTrm2P+vfrW05d4oSvN6Ig9Y+sby9K6 vTR34RuP1jg0f/Qzq05ZxXZuw4tPvvNnlQenL/jw5d6WVW/9mFa2sfKlqqrpylkuNfOPmU9M+MFt wNQln8weFrRnxsgZf/lWxFuLFFw4keFWw7eodYr53G/rf4y21e7Q976+HWpbDm3e8HvRXwRsmYe2 RRXUuqNPv+5NPRJ/+/bHo1ni3WLgoFae2sDuQ4Z0rnqp+Ur5g4gtZf/uU96teg0adGcDid25Mz5P RKxJf2zedca9SZd+9/brHuaVtGfrvpRS3bIVg391Q8rJVMvlv4QFaSl5IiJi9DbpxJ5z9si+fYcT cuyiM3kZRUQkLyWtdJoNAAAAAAAAQEQqcQsONe+Xcd3blbhQdeCH8+4M0Ej+0S++ONP21fkju3kp Io1Dfc8NfHLtHym9e4io4t136uvDwk0irRr5nhvwn1U/nek/IP7TjRltJ346ppe/RqTxm+ao+95b dWhsWJOU46mGhr3u7RHup2kdWqNGp6RqLiIXN8BqNDqtIopWq9UoWZGOR2gjItY8z0femfFgda2I 5PS9Qz/+u4NZ3SNMSbu+iQ3oPaX2ZUmsxeGMV1gC8b132utDW7oVvc6TazfFD+iz8/O/3O9bNGN4 K5NI60beCfuGf1fmyRJV5Ud96HC5Ou77ZLO55zuvDe3gqUizl15PmLQuIc0WfuPfWmzZiRmKt6+x 8K8ZBYkHYgqCInq0CXFTRKr0sCWu/u1gcpvAABFVjPW7dm1eXS9SrYpr9hcbDsZlNWjhrlFEFEWj UaT4N7S8QYJExK56tujUvKa7Ij5hYVUOR6bn28VV1VdrGRFav0FVoyLiq8RH/ZBVYC/1Bxatu7/J evJCnr26y6Xr9oKcotbP2ccP7BUR0XlWqx3gphFrVnpeUTU5BXYx0oUDAAAAAAAAKKO484bDFhyV 5BBCW+65PStnLpzyYZ/1k5pnx0afzz7ySp9O2sK92/aCAktQQoZVRBSXkE6hpsLn3ep3aWLYGHUm JyIm3lLjvibehaGixqdpm6r5W46lWsObDr0/+KmJffqt7t6tU6euPbu3rumq2LPKVmJJKWeENiYR l6rhzf2LskdT47vb6V757lB2hzo7N8RW7ft6rcuTWFdHM9rSyl8CfWinELcSr/PtkaTsFocT9Q2f rl/0lq51OzYwfl/myUtV2TMdL1dO4qGT9uDR9QsPLVQ8wp+bGy4i5uM3/K3FXpBl1plciqbPu5Bh 92xYpeiMQ8U1IMjdeiIlzx4gomh8g/2KHnbxrVVFF5OcZRP3sgtT7iBBBhGtKcCv8IaiddEqIqKK uPiGNHRJPnvs4Pnk5MQzp87mq3Ucrber1pydbxfP8nf+G6s3CKlmVPNTT584mWYr92MAAAAAAAAA ihR24ahsO6BLHULYJPDsjw+s++2MubmHqmoDH567+PG6xUGnonXz0ktUqQEURbHbVFUcNLZW7XbR eLZ+duXPAyO3/7pj1/b5Y+d/0GXqyll9HEaP5YwgIqLoXV2Km5iYmtwdLlM2HjoRtiG22t1Ta5ba 3+xwxt6XfcRuybeU085BUTRanUZRNEqpqw56qJSoyl7Ocp2wqqLRXWnb7g16axG54tmDikjZ70hE FEXE7uiX8n8NotVpS0+o5p7csWHLcV2N+iF16rdtXP/Ixl8cHDKpKEqZt9YYTAbJuNQY2ppz/uwZ yUtJzrjUqsNgMlSeZukAAAAAAABAZaKq6hUC6MqTq2k9Aj2UvNRcu8azTj331OgExcff39/f3881 4fPXp3+dYBMRUS2xO2NyCh/IjdsRnR/YtKrJL7SWy5k/otOLjslLO7QnUV87xFdJ3rZw9vKjnq36 DnvujSVfLRmk3fHlX0XH/F3OpZwRyqbzinuzfi1tuz9Z9kVcjXt6lk5ibeXPaM232EVE1Jzj+84V R6OqOWZnbFHX5dzY7dEF1ZtX96jWrJr16PZjRW+Zd3zX0bwrhbTlLZdLQONqcur32NzCh7P/eO2+ gW/uy7vxby2iMbjrrXlFubrG1c9Lk3Xm4rl9al7ymWytt6+rRkRUe+qplKK3t6TFJ1tNAe4O/wRy h4nh2wAAIABJREFUpUEcyj8bFWOp3/veXh1bhAYHuGssVkdrZjfn2lzcLw+TFYOPn2uJn41+1YKC qvkZSlxy9fMxXDFiBwAAAAAAAG5nqqo6TJ/FuTugL6dodVo1JzXHJm5NBg+oNmTmM7Pk2f6hcmDF tJUnuy+qoRcRUSRtw5SpdV4e3MQWtertNelhE/oEu3gEDOnjMeqtyQs1IyP8k7fOnx3p239Zc3eN RYn9dv6GdNeJDzc3JO5ZuyPVp1NNt0vhoyKi2DLjTyVlugW0cjiCSJnuGYpH83ua57/4U3y9Z7oH lV48jcHRjC7uNaoqcV999kubR+tl/bZ0zr58TdXiEtK+fW1arfEPNbJFff72l1ltX78ryOjf45Hw +dNefjXo5SEtXI5++e76VLliI+lylktj7DCs63vjX5/W4JUhLQ2xa97YlNNiTj2jcuFGv7WI1qOq t7o3Nb+wt7KhWlh9/Xc7t+5VWge75Zz8c9c514b3BhZ9ffl//7LNp1OzKmriwZ2H86t2CvHSiIgo an5GRnaBi9vFIcsdpMDxIuhcTbqC5JOnL5gCNOlxe3ccN1sCM3Ks1b1KfsiWfT5H51/F7fIYWzFW CQ648HdyOSOLITD4YisQAAAAAAAAAKVU2h7QpRmq1vMxb1y760L7uxqOXjzf8Ma7C15Yl6qr2qr/ tPnjmrspkiuiuHd66XH37958ak66e0jEMwsnDwrSibi3Hr9stmnGvJljlua412r78PtLR4a5iUjH l2c+Oe2dhc89kW13DQzr9crcZ8Pc5PzF+XSB7Xo0Xbto+MiM5WvGOx7BUd8Iz+Z3h2l3Zd7brWwS q3g5nFFp9/yke195d9KjX3uFRAx9cUL2pBVFD+hrDZ340IVP3hz7fqZXox4Tlr7cN1ArUrXf24vz Zr65fPLIRR4N7xzx5oh1b8RdceEcL5f4dnlt6dT3ZyyYNPx9s0/onS988GI7T0XR3ui3FhG9f22v 3PgUS1MPg4joq3e49y6X7X/s/D7Soveu3rR3//BAFxGLiKIP7thCH7Pj+9/z9b612t8T0chTIyKm oDoB0X99823+ffc3Lx7S8SDlcanWvmvjLTu3rovSelQLbd39TuP2X37beqj6vaGXPqMWXDhb4NvU t8wwWvca9evYjp1IKZBLRxEWra1fnfpB7hw/CAAAAAAAAJSjOHR2uAnaQSZdaeVGTrnnBfNb389s 6/a/P1xhzDHzH3hs96NfffJg9dsol/wfb63mHtu4/kTTQXfVMji4W8hy7pdVP9h6PNoz6IobuiuM mnts4zfxzQb2DHZco70g80JS0oX07DyLXTQuru7efgGBVbzo/gwAAAAAAACUFB8fbzKZFEVZvXp1 r169SvbfsNvtIrJly5ZRo0ZpNBqNRlOJdkBXfvbM2H1/bV+6+nyTF7pUvW3S56t5a8WtVoug/QdP 5waHuFXSbhX27JNH8+u0r15uQq4xeAYEewYE/5tFAQAAAAAAALeAm+IQwpuA+dT66ZM/Te38wsRe gbfPwl3dW+urh7fURkenWP/Fyq6FJflgrFfbFv78xQUAAAAAAAD499xMLTgAAAAAAAAAAM5VtgVH 4XVVVcu24Lh9NvICAAAAAAAAAP5VBNAAAAAAAAAAgOtUcgd02bsE0AAAAAAAAACA66QoiqqqqqoW HkVYCgE0AAAAAAAAAKBCEEADAAAAAAAAAK6Tw84bxXT/Wh0AAAAAAAAAgFuMw84bxZwWQJvN5oSE hMzMTJvN5qwacJvTarUeHh5BQUFGo9HZtQAAAAAAAAA3pcIe0OXddU4AbTabjx496uvrGxwcrNOx CxvOYbVac3JyYmJiGjZsqNfrnV0OAAAAAAAAcPMpTp8dxtDOCX8TEhJ8fX19fX11Ot2Vd2gDFUdV VaPRqChKQkJC3bp1nV0OAAAAAAAAcKtxTgCdkZEREhKi1+u1Wi0BNJxFVVWNRuPl5RUXF+fsWgAA AAAAAIBbkMYps9rtdoPBQPoM51IURavVGgwGGpEDAAAAAAAAFcE5AbSIKIpC+gyn4/cQAAAAAAAA qDgcAAgAAAAAAAAAuH4Ojx8s5LQd0AAAAAAAAACAW8AV2gwQQAMAAAAAAAAA/imHGfStEkDbMw5v +uqX0wXOrgMAAAAAAAAAbi+FO6AdNuK4VQJoW2b0pnVbT5nL7TUCAAAAAAAAALjRijc+O9wBzSGE AAAAAAAAAIDrVLzx2eEO6MoUQGf//tpTX4ePaX/kiw2RiZoabR8YM8h968KVvx5L1dfqNvylkZ2r aEXEnh2zccmy7/46nmr3Cek4YMTjveoZzq578YUvE0XmjHjy4PT5o0Otx35c/vH6PXEpeRqPmq37 /Wf0fQ3dHaTvlvN/rln42dbDZ3Pdgpr1HDLqgdZ+OnE8hclxC20AAAAAAAAAQHkqWQuO/BNrvzzf fuwbs57rZPlt2SuTvjf2nzD7rTEt0n9ZsS62QEQsCRumT12X0+qxSW/NeKF/1aMfT527M1UTNGDW 7EGBLg3+b9GiUaGGgr8/nbX0YJXeo6fMeG3cPdX+XjX365OWMlOpedHLJ8/+0dJu+OQ3Jj8Rnr9x 1qufxuSXN4X9X18KAAAAAAAAAKj0bqoWHIpr2NBHI+qbxHpX16DNm8OGP9iujkGq9237+R9nMqwi cmLTpqRmoyc/0NZDEalXy+v8kSk/RGV06uqu0SgiGq1GUVTVrcmAUd0iujXw0IgEK3u/fTs52yri cvlUudHfbs9uNvLZhzr6aETqPWOJGffJ98ceDg09Xc4UPmyCBgAAAAAAAIDLqKpaGD3b7Q628Vay AFrrGeSjFxFRdHqtzruGj4uIiEZn1CkiIvbsU3FpucffHz1UW5gG281ma2BSllXcL42hGIM79TAe O7T9+7i4Y0ejIg9nqe1ERM36482n3z2QJ6J43jFp3v/5nTxrDewR4lm4B1zjFdLUv+D3+ExL9fKm 8CmVYAMAAAAAAADAba2w73PJNtCl9kFXsgBaRJRyfxARVVW1fn0mTruvRnHhitbo4SIlsnV7+p+L p3zwmz4solO7Lo/e1eWnGXNzRURxb/HUO/MK7CKKxuhtlPOlhlc0IqLay58CAAAAAAAAAFCCoigl zx4s24WjkvWA/h807kHBbhlxieLp4+Pj4+NtTNo4f8HPSbaSn1GzDm34NS/i5RkTht/XtWWIvzbf XLgAisG7SmBgYGBgQBUvvaLzrl1dlxQVl1l4055xLOqCvnqwl8tVTAEAAAAAAAAAKNr7rFxUMowu dHMF0GIM6dujSszSmUt/2n/s2L7v57//7ZmAxoEuIoqIYs8+dzYl26r38jdmx+zZf+L8+VP7N8z/ 6LecvLTEtILS/UfcGvXrbIpaPHfN7iOx0TtXzVl2xKtrvwZu5U8BAAAAAAAAACihMHcu+WOpD1S+ FhxXpq/z0NRX9QuXr3n75wytf6PuT7/6aANXRUTrH9Y+5McvX30t6433hg0Z0+uDJXMmfKcPaBTx wLMveCyYt3zO5sZv3BtU8m0VtyZPzBjvuuCzJdO+ynOr3rTvhOkPNDBeYQoAAAAAAAAAwLVwsCn6 X7B3796wsDAXF/YVw/ksFktUVFTr1q2dXQgAAAAAAABwE4iPjzeZTIqirF69ulevXlLiEEK73a6q 6pYtW0aNGqUp5NRSAQAAAAAAAAA3seL02eFe55utBQcAAAAAAAAAoNIo2ffZbi99FB87oAEAAAAA AAAA16nkDuiyhxASQAMAAAAAAAAArpOiKKqqFqbPZbtwEEADAAAAAAAAAK6foiiFe58ryw5ojUZj tVqdMjVQitVq1Wq1zq4CAAAAAAAAuCmVbMFRWXZAe3p6pqWlOTwVEfg3qaqalpbm6enp7EIAAAAA AACAm1Lxruey25/FWQF0UFDQhQsXEhMTzWazUwoARMRsNicmJl64cCEoKMjZtQAAAAAAAAA3JfUi h3d1/3I1hYxGY8OGDRMSEqKjo202m1NqALRaraenZ4MGDQwGg7NrAQAAAAAAAG5KxRufHWbQzgmg RUSv19etW9dZswMAAAAAAAAAbixFUUrF0M5pwQEAAAAAAAAAuMVUlkMIAQAAAAAAAAC3PAJoAAAA AAAAAMANUNwPuhgBNAAAAAAAAACgQhBAAwAAAAAAAAAqhM7ZBQAAAAAAAAAAblbFBw+WPYFQCKAB AAAAAAAAANetZN/nshk0LTgAAAAAAAAAANdJVVVFURRFUVWVABoAAAAAAAAAcMMU74AujKFL3aUF BwAAAAAAAADgOjls/VyMHdAAAAAAAAAAgOtUcgc0LTgAAAAAAAAAADdeYTPoUhcJoAEAAAAAAAAA 16nkDuiydwmgAQAAAAAAAADXqbjthqqqtOAAAAAAAAAAANxIiqI43P4sBNAAAAAAAAAAgBuCHtAA AAAAAAAAgApRtgWHzil1AAAAAAAAAABuDWVz52LsgAYAAAAAAAAAXL/iHtC04AAAAAAAAAAA/Eto wQEAAAAAAAAAuH604AAAAAAAAAAA/NvYAQ0AAAAAAAAAuH7FrZ8VRSm1G9pJAbSaumnEXa9Glbii 9Qxuc99Tr4zuEaS/ppHsiWuHDvyq39qVg6trr/XutbGbMy8kJV9Iy8632FSti6vJxz8w0N9TzyZy AAAAAAAAAHDUi8OJO6AVl1YvzBvX1CgiqiX7XOSadz6a8KLn2k8er+1yLcO4hd79yN0N3UufrnhV d6+aak6NjzmRUlB8wWbJy0w+nZmc7FcntJav/p+ODwAAAAAAAAA3I1VVC3dAO+wE7cwWHDrvuo2b NnUr/KFZi1D7770mb4lMHVY78Bo2FWs8wx55Ouz67l4tW/aZwvRZcasSXDPQx81FLLnpSafjz+cW pJyI0ekb1XD/xxusAQAAAAAAAOCmU7L/Rtm7lad/hKI3ueoUF4NORMSeGfXZxKF9O4aH39H7sdfX RGfZxX7++//c0fWV37MLP25P/XFshy4v7UxPXj+s4+BVZ22i5sZ+Pf2Jvh3Dw8Mj+o+duy3ZKmIv vitiPrdt7lODerQLb9/zgXH/3ZFkERGRzC3/iRj6+a4vpw7v3zm8bffBU74+UXB5YWr++VNJBSKi 861XP9jf3aDVaLQGd7/g+vV8dSJSkHTqfH65pzwCAAAAAAAAwC1NVVWH25/FyQG0arXabDabzWbN Tz+1+9PFe42dH2rjoxHz8RVjRi/N7PTcvBXL3h5Wc987oydtTha/Nvc0Kvhzc0yuiIiauf/bg8aO A1t4XhzMHLPk+Td3+N7/+oIlc59tn7zy1Zm7My+9s5oT+e7wF9Zaur80f/l/x0fkrn5uxJyo3MJ7 BX8vn707+Ml3P/t81j32zbNmbUstuVZqQVpKnoiIGL1NOrHnnD2yb9/hhBy76ExeRhERyUtJKyCB BgAAAAAAAHBbUhSl7PGDhZzYgkPN+2Vc93YlLlQd+OG8OwM0kn/0iy/OtH11/shuXopI41DfcwOf XPtHSu+7293TIGfBD7H5rcIMmfs3HDB0ereZu+QUPW1JOZ5qaNjr3h7hfprWoTVqdEqq5iKSX3Q3 K/LTjRltJ346ppe/RqTxm+ao+95bdWhsWFsRsas1Hn/5sQ6BGqk3bFiTL5ecTLeKb3EfantBTtGW 6OzjB/aKiOg8q9UOcNOINSu9MJmWgpwCuxjpwgEAAAAAAADgNnPlFhyV5BBCW+65PStnLpzyYZ/1 k5pnx0afzz7ySp9O2sKC7QUFlqCEDKum7h331H/7460nzc2qR317wBjxbhOTFAfQrk2H3h/81MQ+ /VZ379apU9ee3VvXdFXsWYU3LSkx8ZYa9zXxLtzxrfFp2qZq/pZjqda2niIuVZqGFt7QuLi6KCJy pe3MxuoNQqoZ1fzU0ydOptkqZmkAAAAAAAAA4KZQvPG5su2ALnUIYZPAsz8+sO63M+bmHqqqDXx4 7uLH6+ovflTRunnpRVPljn713v381/hhYd/uc+32QSM3EfvFj2g8Wz+78ueBkdt/3bFr+/yx8z/o MnXlrD7FLUZKv7tGRLUXPexi1DvI5i9+0GAySEZ+8c/WnPNnz0heSnKGpfiawWSoPM20AQAAAAAA AOBfVLj32WEAXXlyU61HoIeSl5pr13jWqeeeGp2g+Pj7+/v7+7kmfP769K8TbCKiDezYr3byzz/8 vH6/W/f+DVxLPG5L3rZw9vKjnq36DnvujSVfLRmk3fHlX2kX42kXv9BaLmf+iE4vvGBPO7QnUV87 xPcq8nfF4ONXciKjX7WgoGp+hhKXXP18DOUn2AAAAAAAAABwq1JKKJtBO3MH9OUUrU6r5qTm2MSt yeAB1YbMfGaWPNs/VA6smLbyZPdFNfQiItrAjncHv/P+BwnVH1pev2QGLBqDEvvt/A3prhMfbm5I 3LN2R6pPp5puxfm6R6shfTxGvTV5oWZkhH/y1vmzI337L2vuLpL5vwszVgkOuPB3ckE59w2BwVWM 5M8AAAAAAAAAbkMlW3CUzaArTwAthqr1fMwb1+660P6uhqMXzze88e6CF9al6qq26j9t/rjmboUR r65a575135+b36vPpf4cIiKieHV8eeaT095Z+NwT2XbXwLBer8x9NsxNzl+87d56/LLZphnzZo5Z muNeq+3D7y8dGeZ2lZVp3WvUr2M7diKlQC4dRVhUtF+d+kHuHD8IAAAAAAAAAGU42BQNx+wFmReS ki6kZ+dZ7KJxcXX39gsIrOJF92cAAAAAAAAAt4/4+HiTyaQoyurVq3v16iUXe0Db7Xa73a6q6pYt W0aNGqXRaDQaTSXaAV3ZaQyeAcGeAcHOrgMAAAAAAAAAKovC9LnkP5TE9l0AAAAAAAAAwHUqbP3s 8ARCqVQ9oAEAAAAAAAAAN52S5xCWusUOaAAAAAAAAADADVC2CwcBNAAAAAAAAACgQhBAAwAAAAAA AAAqBAE0AAAAAAAAAKBCcAghAAAAAAAAAOD6lW39XIwd0AAAAAAAAACACuG0HdBmszkhISEzM9Nm szmrBgD4F2i1Wg8Pj6CgIKPR6OxaAAAAAAAAbjxVVUVEUZTCfyjJOQG02Ww+evSor69vcHCwTkcb EAC3MqvVmpOTExMT07BhQ71e7+xyAAAAAAAAbrDCFhxl02dxVgCdkJDg6+vr6+ur0+mu0B8EAG4B qqoajUZFURISEurWrevscgAAAAAAAG4wh9FzIecE0BkZGSEhIXq9XqvVEkADuLWpqqrRaLy8vOLi 4pxdCwAAAAAAwI13hR3QzjmE0G63GwwG0mcAtwNFUbRarcFgoOU9AAAAAAC4JamqWtwGutQt5wTQ IqIoCukzgNsE/40HAAAAAABuT04LoAEAAAAAAAAAtzYCaAAAAAAAAADA9bvC//nbOYcQAgAAAAAA AABuDYUNoB0eQnjTBNC2c99MnJk2cvbj9fQXr6TsXfvx2u0H487bfOp1uP/Jx3rWMyn50fOeeld9 /r/jmhjLjJC2/6tFK37Yn2D2rtfqriEj7m3iqRERy4lPx034NqX4Y0qzCR+/2tqt3M+L2NKjvln+ xZa9x1L1tTs+/NSInrVcr9Da1Z725+IZc7ekt3mtVFEFRz96elb+uPnPNXN1/C4iasG53Z8v+PzX o+fN7kEtej82cmALH+3/rqHsWpV73dE4V1pDx3WWu4bXpJzBr2rBixez/olyiy+PWnDm12Xz1+yK zTTVveP+MU/2DDaW+T4vjv9s7cgpI+b8fflNQ9vJi8aHuZbzC1P+l+io/mau5a9Peb+QVzuOmrWr 3OLLnRUAAAAAAAC4ouK9zw43Qd8cAbQt+/jPK9afKOhy6ZL17Pdvv/1VXpcRzzxe23Z0w+LFM/I9 P3i2naG8Icwn1059a6P3gFFTxpgSfl6+bOYc7w8mdvPTiiUtIcez/RMjuwQUpoI67xDDFT9/ev0b b6039PvPS0NMJ7/7aPHMz4PfH9Gg3LRTTd+37tfczuOnD25Qbm3lvIuXJW719DlbqwwYOSXcJ/nX ZYtmf+D9/pQ7A65cg4O1Kve643HK/RrKq1NTzhpek/IHv7YFv1Zq1v6FUz462HjoM69WP//z4sWv zfee81wbz3L+pKC4Nh42cUKm7eLP5oTNi76ytaquL/cXpqC8L/EalfsLefXKLx4AAAAAAACoGJU/ gDbHrXhp4ndnVRHxvXTVmrh7y8mAQW//p1ctF5HQsS4nnnrrm7/S2nQsZ5Scw19+f77RiCkPdvDV SKPaz6UdeWnD9sTOA4KUrHOp9ip927dp7aNczectR9Z9nxw2du4jd3gp0jRozNn3tsalWBoEuZQz sd2SZ9F6169fzUNX3jbp8t6lc+q23emhw2c81NlXI01qDD+0e/rWg+k9evgVlFeD47Uqbw0lz/E4 ftdYZw9vx2t4Tcod3O0aF/waqZn/z959x0dV5X0c/907NW3SK0kgDQKE0EJHmgqKDcsqYq9YdnX3 0W1us+26rutadl0VFCuKFUVBREBQ6UV6CSGQ3nubfp8/EkIgMyFhE4P4eb/2tQ9Mzpzzu+fOPK/X fnP43Z1LNjpHPTD34pH+iiQaDt/7xCdbKkeeG+qlO7o+OGXYyGN/cZV+9dnRmJ89MilM1/C95w9M eK6Xm9jF7uteP5Bd+QZ7K75rpQAAAAAAAACddmYF0I7STe+8tHDN3mJXWP9xV9x5y7R4s2KIveS3 /5rmrN3y3CNfHh/ptjlD+o8YGtkcQyrG4Eh/JbfBrrVMs27+og+/OVhjiht+0W1zLxtk0WrziuxB I/sGNMd+hohBiabFu/KaZvUxVhfUGsLCTmq64PI2Prxk2z5r/A2Dmk/IKpaRcx9uSfS0hkMrXn/t k82HK5rUgLiRF99x16xUn/Ivf/+LN3JFXpx74/Y/zXsgzX14+SvzPtl8tD4gcfyl5zq0Dq9FU/yT x4xNbqlB7xfiq+baXZrYC7zV4HmvvL3ubR6r5z1Uve650+Meeruh4q7PXPbKgs+3Zle6g5MnXH7b zTOS/BRvk9urvG+4p8308gFQRTyvay/clav1uyW5udmHT+KYZPWFnYW2c0N9Opi/pYCarW99UDPt 9zNi9OIq8/KBCfNyEzuo31Odbq8f4ADxNo/HzfdUfNfuVLubDAAAAAAAAHh1BgXQWsOuV/74r+9T rrv30UHGo1+89PJfXg75z33D/UzB0X2CNf9sU9voy5g0+y+PHfuLu2bP8rWlASMHhOikStx1m+Z9 PGbOrQ/Ndh9ctuCdR58wPPP4ReYAH62+pNohYhARd2NpWZPLXtHo1qSqsM7R+Nnf7v1HZqU+ov/4 K269fkpfH9XbeEdlbp0xoO6bFx5atulIvX/C2Fm33Tw9yU8R28G3nnx19+Dr7rpuoKV23xcL3nl+ 8bDnbkiY/tfn7L97cP3M5x6bGqqUrX78z6/lp1/7ixtT9Ue/fG3++lrzuA6uxRR9za/vFxHRnA0V OZs/XVsZfX5asE7s3moQxeNeeXvd67WIxz28ONpLnZrd4x4qnm9oWtWSxx5ZYrnsjj/cEdp4YPnr rz3yvN+zvz0nxMvkjjzPRbrKVv/T02Z6Ld6d73FdQ3VJgyk0uGVjFENgmK8tt9Kqueq9zn9s+3KW vbM34Zrb+hlFxOsHxpTs+SZ6rd/hsc6J3uZ3Wdd4nMfbt0nxULyXwd7uVBfPbgMAAAAAAOCn7MwJ oLXanZ9+5xj74D2XDPdTpP+t95bUf1Va4xK/jkt0NxxZveBf8751TfjVVckmcYiIBE79+T2XDPQR GZgUWHbfn1d8WzjjqvTp6e4X3/pgW/TPBhsLvn7l7UMicW63uGoLqp12h++oG347x6di+yevvfhw vd+zvxwd6Hm829FkdzbufXP15Btv/d117qzlr7366H8tzz0wLlDzHXz53KmTpg4IUEXilW2f/aO0 3iliUFVVUUTV6VR38fqle33Pffi+ywf5iAxOtBTv/+Pajq6lhe3AS/f8+es6kT6XPDIz1iBag5ca grqWDGrersXsZQ+vjjN4rNNV7nEPR4mnG9p45IsvSobc9cefjQ5QRJL6Bpbt//OXu2omTjnWvePE ybU6z0WObupoMz0Uf1mTx3XHD7U7FaOf8Vgwrxr9jYrD6nSUnuJmaTXb31/pmvzQyKDmo9lePjDe bqKryMv8Ni/7M8nz/M7SjR7n6fjbdFLxngef8k4BAAAAAAAAp3TmBNCO8kOF7uir+/k2B3p+g2/8 /eBTvMVVvfuj5/714V518JV/uO+qocE6EYeIGPqNiPdpHmHum5FkXJNd7lSHT7z7vqNPPf/kL5aK KNHjZ44MWF7ta1L1gRf/9dWZJn8fvSIiqQk+Bfc+/fHmiozzwzyO16k6VST6iv+788I4g8igfqYj 9z7x6ZbKMeeHxU8813xozzdLDx8+dGDX9r112piTqrWXZZUbEq7r21KaKXZEgumbjq6lhTFpzt+e Pr/owKo3FjzxbOy/fjfF6LWGriXQ3q7lHC97KHEGz3VGedzD9EQPN9RdsfJwVWP2M3fdoGuOMd12 uzOypM4pwR4n17wUmR7ZwWZ6KN5eX+FxXbfeqNfsx3q3iLjt9TZNb9Q7O7xZIq7S9R/vCjr/qX7H fk+ghnr+gHm5iWO9zO+uz/W8P2q8x/ldXubp8Nt0cvEeB3d8pwAAAAAAAIBOOXMCaNFcblF0nc5Q XRXrnv/dcxv9pt779M2T4ny8ncpUVUUVVUR0IaNueuLN2TXl9YaQEG3nP+5eExXlq4jO5BfQOljx ixsQpqwoa3BJmMHTeNVgCfIx+CSGtrQqNkcmhCiHyhpcbv22+X9+doMxfdLEMZOvmz75q8efbzy5 FEU9oUhFWv/q8Vo0a8nhHGt4ct/AwMi4wMi4WMOBjY+t3l8/JcNLDdK1AFrxdi3e99DLnnvZwwRP N1TTNF3ohQ89Oiu29aOn6MwBBi+TeyvSHeV1Mz0X721dtSHKz15cbdfErIiIs77SagoLMytrNnd6 AAAgAElEQVTS4fyu0s0r8yMnj45o8/w+jx8wsZZkebqJY4O8zO99f8TjB9jtbR7v36b2xXsc3EEl AAAAAAAAQCedOf1cDaFJEVK8K7ep+TBq464XfnH/vP02L6O12q2vvLw14tq/PXHX5JPTZ8fR7blN zX+05m7NskekRhhdZesWPL9wZ50xMDzUV2089M0B6T823uSuWv/Mrx/+8Ki9Zdam4uwqNSwuUO9l vJj6DO0jBfuLm9+gNeZnViihsRZd3Z4la5om/e7x3946a8rw5DCd1d7umXXG8JRw55GtOS2l2fJ3 HLFpHVyLu3rzi3/5x2e5jpbaXFarU9HrVW81dPl3CR3N42kPvdXpZQ/Nnm7oQUOfeN+aw8ViCQ4O Dg4OMpcs++9LK0tcXm+olyLN3jbTS/Fmfy/rGmPS45WczdmNLfN8f9QdN7yPyevNEhERV+mWNYUR EzPCj+fP3j5gXm6iwcv8qrc6vczvrc4Ovk3ti/c42OudAgAAAAAAADrvzDkBrQQNu3T060+98GK/ Oy4ZaMxd/vI3TQMfijN6HqzVH1i5yxF/aVjFnq2VLa+p/v2GpAaIKFK75j8vxdxyQZI78/NXv2xM v3d8hE7njFAOPPf8C4abLxqkP7Rk/kbL9MeHBSiqK2WI/wvzn54fcNv0JEPZjiULNvqe/0hGoKKz exwvEjJq1oiF/3rm5dCbz+/r3PvpvC3mqX/JCFKVwDBzfebmHUdCk3QFGz54eUNDU//iKttgn+Mb rAsfe1HaohefeT7i9ktS9UdWvL6qRvQdXUvYiElxb7/34psx103qa6zcvXTBFuPY3wzyV1TxWEOX O/Oqnq9FkSKPe6jWb/NcZ4jnPdSZPd1QS/LMc8N/++rfX5UbpvbTDi556bOCMQ9HGrT6HZ4nD/dc pMHkeTNFvHwAzKEe1xXFMGzWeP3f5r+59v6LY0qW//cr+6hfZwSrOrf3+UWrO7S1yLd/amibb4/O 4vEDo/PxfBP1/l7mN3veH6/z+3qex/u3yUPxngd7uVNd/ZQBAAAAAADgJ0338MMP//CrFhUVRUZG 6nS6ti8q5pgRoyLLvvv0/Q+WrD2kDJ9z/60TolqfDmfLWf357tBpFw4L0YmIq2zj4i925+7fvP64 dTkx553bt2HLisyhcy9yfLVw4eJvc80jrvv1vdNijIroQwYOCS359tOPlnx9oLHPtNvvu3qIRSei +iWMzQgp+u7zjz/4dPWemsjz7n5gdnqgTryNF8UcM3SQb+66pR9/9MW28pApdz54w/BgvWIIS4lp 2PbJwkUfr9pRHn7+HbMCD674dKtp3NT+6uGVK3L7zzw3wUf17TdqaEDBd59//MlXu2rjZ906umJH 7bALRynbPF9LSlTy8L7OQ+tXLPloyaqdpYHjb77/5nGRBsVbDa07eeJeidfXvczjLNvsaQ+97nlK eKLHPfR8Q/XBg8alqgdWLfl48bJNBZZzbnvg+uHBeq+TJ/n5eCzSy2aOC632WLwiOo/rKqIYI9MG ++Wt/fjdRSsOStpV990xOdqoiLf5Iw0i1oMfLfzOdOG158abj2+6tw+YJcnjTfQ6v9lLnd7m9zaP v5dvk6fiu3KneALh6XO73SUlJTExMb1dCAAAAAAAwP+kpqbGaDQqirJnz57k5GQRURRFRDRN0zRN RI4cOZKRkaE0a37pB7Zt27b09HSDgeOUAH4qHA7Hrl27Ro4c2duFAAAAAAAA/E9ycnL8/PwURVm0 aNGMGTNERFVVEXG73S6XS9O0VatWzZ07V1VVVVXPnBYcAAAAAAAAAIAfnw5OOZ85DyEEAAAAAAAA AJxVCKABAAAAAAAAAD2CABoAAAAAAAAAcPqaHzconnpx0AMaAAAAAAAAAHD6zrge0KqqOp3OXlka AHqF0+nU6XS9XQUAAAAAAED3az0B3V7vBNAWi6WqqqqDXBwAziaaplVVVVkslt4uBAAAAAAAoPtp muYt7O2dALpPnz7l5eXFxcV2u71XCgCAH4zdbi8uLi4vL+/Tp09v1wIAAAAAAND9mk9Aa5rW/hx0 7/SANpvNqamp+fn5+/btc7lcvVIDAPwwdDqdxWIZMGCAyWTq7VoAAAAAAAB+UL32EEKj0ZiYmNhb qwMAAAAAAAAAusUZ9xBCAAAAAAAAAMBZjwAaAAAAAAAAANAjCKABAAAAAAAAAD2CABoAAAAAAAAA 0A3aN4MmgAYAAAAAAAAAnD5FURRFaf7DST/S90Y9AAAAAAAAAICzgaIozQef26fPwgloAAAAAAAA AMBpa2270b7/hhBAAwAAAAAAAAB6CAE0AAAAAAAAAKBH0AMaAAAAAAAAAHCa2j6BsH0XDgJoAAAA AAAAAMBpatsDun0GTQANAAAAAAAAADh9Hh8/2IwAGgAAAAAAAABwmpr7b3jDQwgBAAAAAAAAAKep bQuO9j/lBDQAAAAAAAAA4PQ1R88ej0JzAhoAAAAAAAAAcPoURfHWiIMAGgAAAAAAAABwmjpuwUEA DQAAAAAAAAA4Ta1nn2nBAQAAAAAAAADoKe0zaB5CCAAAAAAAAAA4fc3NNzRNa9+FgxPQAAAAAAAA AIAeQQANAAAAAAAAADh9iqJ4bAAtBNAAAAAAAAAAgB5CD2gAAAAAAAAAwOlrbf1MD2gAAAAAAAAA QHeiBQcAAAAAAAAAoGe1j6EJoAEAAAAAAAAA3aB9Cw56QAMAAAAAAAAATl/73LkVJ6ABAAAAAAAA AKepte2Gx07QBNAAAAAAAAAAgNPUevzZ4zloAmgAAAAAAAAAwP9KUZT2GTQBNAAAAAAAAADgNLU9 AU0LDgAAAAAAAABAt1GO8fhTAmgAAAAAAAAAwGlqewKaFhwAAAAAAAAAgG7T3Pq5uf9G+3PQ+l6p CQAAAAAAAABwFmh7Arr9TwmgAQAAAAAAAACnqe2pZ1pwAAAAAAAAAAB+IATQAAAAAAAAAIAeQQAN AAAAAAAAAOgGtOAAAAAAAAAAAPxACKABAAAAAAAAAN2g7QMJmxFAAwAAAAAAAAC6QfsWHPpeqQMA AAAAAAAAcBZoHzq3RQANAAAAAAAAADhNrW03PCbRtOAAAAAAAAAAAJym1tyZABoAAAAAAAAA0J1a T0AritL+IYS04AAAAAAAAAAAnL4ODkFzAhoAAAAAAAAAcJo0TWs++9z8h5N+SgANAAAAAAAAADhN bVtwtD8BTQsOAAAAAAAAAMBpatt/o30GzQloAAAAAAAAAMBpansCuv1Pey2Arv/uF2MyMsbet66h tyroJrWr78zIyLhxSZm7tyvpvF6quXHzb87JyLjsv1n2H2Q5d93+z994b1OZs0dXcRR8tWDevEVb Kl09uownzqI1b8ybt3BDuVNExJb39dtvrc5pOvkfOQAAAAAAAAA9rLkHtPAQQvx0uOsy126s6DNm aFi3tplxlnz71rx5b6/v4Vj7NJj6ZIwIPLp2Q56VCBoAAAAAAABnCgJo/GDMQx5c+P4H/50Tb+j5 taz5mzYW+qVnxJs9nPvvTvrI8Vf+7OqZQwJ1PbvOqakBKaNTlKxvvz/zwnEAAAAAAACcpTRNa3vq mRPQ6EWqT0R8YkKfIGMPZ8Ii7rrD27Lt4YOTLT3+AVf0foHBQRZzr+fPImIIH9jfv2H/9xyCBgAA AAAAwA+jtfNGs/ZtoLu1PUH305pyVr85//21u7OPFlTZdb6hcWmTLr/pjmvGROhFxFX4wS2XPrkv 4ecfvXtz39YrcZd+esfFj+2MvHHhR/cNMIqIiL1443uvvLtq+74DuVWaX0TKqPOvuunWS4cEtqST 1t1PXHrLR1F//PzfKaufeOSllUf6PbT09SsiPGSXWmP2V6/N/3Dt93uyy+2+MSOmX//zG4Pbjep4 Odu+py+/8d2g3yx+NmnNf15YtHpXidU/JjUtY/r1d80eG2Hs9Dxi2/fUrBvfC3rgk5dHbn/xmQXL tuY3KH5RAyddfc99c8aEt+5Hd9Tc2bXEVbXrk1feWLpp9/6j1T59BgwaNvlnt18/Ka75GHLj1ocu vGtF0K2LPrgn2di5dUXcDVkr33p14bIthwqr7QZLVFLGRTfdddO5ib4dRMuuyr07y5SoKQn+bQdp trLM73cczCstr2pwmwPDwqMShoxMi/VviY6dZevfW7zHPGH2BcFHN2/Zc6Sk3mkMCIuISUrPSIv1 04lIU9anb60uERGRPYsX7JGYGTdf3FcpXLXw88Pm4Vf9bFSIrlMLibNs/aLFe8zjZ18SXbRlw/dZ hbV2xegfHj84Y+yQ2DbX5azO3rF9X05pZXWt1aUafC0R8alDR6bF+nm9dF3IgNTAnVu/z6rrm9Zh 9u6215aXlJZX1VsdLk1n8PELDouMDLMY+YUUAAAAAAAAuuKkI8/tM+gzOnBy5n90/7W/nb98W5n/ wEkzL5oxIcWUv3nxM/fe+fyuRk1EdFGTLh8icuSzlXmO1je5itd8uNMt/S6/JLE55LRlv/PLq3/+ 3CebKgIHTb1w+rgkffaahY/fctVvlxad0KrAnvP+/93xr5XZVt+oqABP51m1xr0v3zn7ode+2p6n Jo6eND5JPfDJP269c37mCaM6uVz1uidumPvcsjz/wedMHB7RcGDjkud/Pvv3nxc6uziPWA+9fvdN j65uSjnv6qtnjrQU7/3i+XvvfeWgrQdqPsVa4ipd+fCcW594b22WO37c9GlpAUUbl770wOz7F+V4 eergqde1Zr39ixseeuWrg1rfsRfMnDE21nFg9au/v+WPy0s7eOafqyoru16C+ka2ab+hNeV889Hi tbuOFNt8ohISYwO1yryDm5Z9sHxP9QkzWfO+Xfz5xkM1xoj4+Cg/R3n+wU3LPlyVWecWEUPEsEnj 0iN0Ivqo9HETJ6WHevj9TWcXEmfFjqWL1x51hiSmDU6JNtaXZm1atnR7+bENd9fu++KjlduzChuM 4X1T+ifHhepqCw5sXPbZphJH+1WPUf1j+/hKeWZeg/fnS2r2yqP7dh/KK61pcrg0EXE5mmpL8w7t 3ne00s7RaQAAAAAAAHRBc9zc+hDCH9cJaFvmewu22yXhzoVv3TGgOUt0Fi6+54q/bl+xPPve9DST qOETrhim7t6xdGXejXckGkREnAVffbhfZODVFzR3GnYcffeP/9rsHPbzN5+9cVDzgVh3w4F3H7z9 ma//9sSacc+eF3Isg896683IC/608DcXD7B4bKdgz3rzT68ccOsH3fr8s3NHh+hE3PX7Fv7mruc2 txnU6eVK122OmPn4J3+8INYootlyv/jrXX9etvbv/1gz/l/nhahdKDtvyWeDf/7W4psG+ioi2s+v +ffsm97M/mxZ9q0DBhq7ueaO13JXrf3Ho1+U6Qbd/uJ/7hxhUUU066G37rr++W0v/nfrxU+ODzh5 QzuxbuOe1xbscuhHPPTxf6+I0YuIVr/9yZ/d+eE3b6wonH59nOdPr7uhML9efAZGtTkpbCvYsOZg vfj3P/fic5IsOhHRrEXbvli6vWDD2sx+lwxsPSrdkFvglzJt9qRki05EnDWHvv3860NHv1t3NG5G oo+lb+pAc9mOXaVKWNLAQc0Hv08Kwju9kNQezIwYfcU1w8IMIiKjB2/68JOdVZlZ1cPDwnQizoo9 3xe5JGjkFVeMbHmMorvuwNL3vik6nFU1KjLC2xdXHxgbqu4rOFJmHxxg9jTAVV+QeaTCJqL4hsfH RQb7GsTRWF2Sl1PWaKs4kqk3Djx+VBsAAAAAAAA4JUVRms9Bt0+f5cw+Aa0Ln3L/nx9+6rHZKa0n WfWhqakhIvZGR/MBTzVs/JUjdJK7dEVu8yFbe86yxdmiGzF7apRORMSetfiDTIm6cu70CGtlebPK prCpt1waIbZtXxxoarNe8GWP/v5SL+mziC1ryZJckaR7HrtjdEuvBdV/0Jw/3Z/WZlu7sFzA9D8+ OCO2+ZC2Yoq/8DcPXxQo1nWLNla6u1Z2xDW/mT3Qt7kIxTdpyrgQEWudzdUDNXe0lrviu7fXNkr0 dQ/dOqKl+4NiTr7ivmtG9E9QS2vbPxevM+u6m+qsIqagYHPLB1XxH/bzee+8tfCJ6eFeU1JnTVGN SEBUmztpK9pzxCbGpHPGJR17VTFHD588zCJayd4j9W2OCxuTJo1PPjZIH5gyYUp/szhz9+Q3deZw cBcWEr/B49PCjj2P0RDSL85HxGlzNi+j+vUbM3nK9Glpx09Zqz5hYT4iLof3w80iYgiMDBB3dbGH HRcRzVqWW2ITEX1IUkp8mL9Jp6o6k39ofEpSiF5EbCW5ZTSQBgAAAAAAQBe0duFo/wRCObNPQOvD R864VETc9tqi/Ny8vNzsfdvXr1hSKmJpHaMGj7kiw7B107Ivc269J8VoO7zks3wxnTN7Qljzidrq /dtLROTduy9918MK5eVNbjl2TtaYNnWAn9fH47nrsnaVisSfOzHG0OZlXfioaQmyJ7tlUGeWa7m4 tBlpljarKf6DZgw3L11zdGu+bWZIXefLNg8e36/NUVfV6GM4diy3+2o+9Vpizd2UrYll+MT4Nm2s Ff8R/zfvHQ/TdnJd3/TZM8PWL1n964tnZVxw0XkTRo0YnpYQ13+gxxmPTWyvrXeJ3s9X37q9rrqS SpcokQnhprYjdZb4WN/t+2qLal1DjnVMViOSIk4YZAxPitJnHq0urHWl+J7q69KFhUQfHhfUZj5F p9eJtKbGqm9M8gAR0Vy2+tqampqaqvKivKyDDSInzNyeag4widRWN3mKqTVbVUXzLxTMQX56cTcU HswscYf3Hxjr5xdolsp6kaaKKltktLnHnxMJAAAAAACAn4QzOYAWd93+T/7zzGufbS+yi4j4xaQO Tk1MNua1bWCsBo++cpRx0/rly4/enhJ3cPEXJRIw45rRgc0Bmqu+okFE4uY8+qtRAe0yNZ0luc2L fqEBHeyGZq2zioh/5En9CXQBkcd7S3RhOd9Qi+HEHxuCoiwi1ZWN7i6VbQoweTvG3t01d7SWuOor GkWiIvw7+ZHq1LpK4Pg/vLMg7dUFH6z4bsn8rUvmi0hg/6lXz73/5kmxJi8hqdPhEtEZ1DYNoJ1W p4jBx3zSqWnV6GcUabTaXSItd8Pg226Q2d8kYm3q+OBxlxcSvUnf0b8/0OzlBzZv+P5gUb1LRMQY EBYeFhKiq604VQ2qQSeiOT2W67Y1tDTsrs/euU1ERG+J7hfhq4qzrrrlqLutweaWky8AAAAAAAAA 8MJj541WZ3AA7Sr67De3/W2Lvc+5d/31mmkjB/ULM6tiP/Tfq9Zm1rcZpgSOvHKsef03Xy47fN34 D1dWSuiV1wz1b7lm1RxoFhFd0KBx5/QzeFqlzURqRxul+Ab7iUhdSb1LItoEh676suPVdGG5xopa h4hPm1ecdWX1ImaLWe1S2SJey+7umjtaS3Q+ASaRxqqmDp4O2FZn19WFpF/x62eveNBRm79/x7aN Xy9d/NnX8x/4vuDZDx+eGOQxwdUbdCIuh/v4gX9Fb9aLNDTZ2uS/IiJue5NdRGc0HJ/H0Wh1nfi1 cNsa7aeMi7u+UMfc9QdXfPptocuSmDFtcEJMeJCvXhFX5Zb3j1Z4eaDj8bc63CKKrlNLmWMGJEeb NWtl3pGjVZ28cQAAAAAAAEBbmqY1Z9AeW3CcuT2g3RWbPtpil/g7n3ns9hkjEsOauwBrjkbHSQMV y/ArxvtK8Yr3Ply4plZiLr4ytTXX1QUPGBQscnTFt0VtW+I6cxdeNyoj44b3Czsduqn+ycOiRfJW fVvYtgBn4bfLD7f+rQvLOfes2FvX5oZoNTuWbGkUiR8Ra+qusru75g6ZYjPiRKq3byxsm5A2bn/k 3IyMSb/f3Hjy+M6s68hf/uJT//jPkqN2UQyWuPRJs+78y7z3npnqK9VfL8m0erlqo8VPJ86GxuPT 6gIig3WilWeXnZDeumrz8hpFLDGBxwNnd+lJg6zFmQUOkcBob83BT7iozi/UIa0pf3+hSwJHzpg6 Ijk6uKWbiOZynPpmuG11VhGfIB9PX23V5HdCBw9nQ1lhQV525pHSxtbPosnP+zF3AAAAAAAAwANN 01pj6JOcyVGTW0TEWtfQGrq5a3YufGZxmYickKUrlmFXTPSX0s/nrWuUxMsvTWjThNgn9cpLYkSy Xnz4rb0tT4DTmg5/9PcXD2r6EVdOiux8pwFjv4svSxA5/OIfX95c2dJjueHAe39/8UCbQV1Yru7L x/65oqA5p9Rsecuf/uuXtWIcO3timNptZXd3zR3RRU2ePUIvea8/9vr3NS3TWLM+/s8XNWIacX6K ud0bOrGu4ipe/d77rz//yrqyYx8Cralgf06jiCXaa8MUfWBMoEhd28fwmaLT+hnFfvjb9YdrW2bS rIXb135fI0rk4AT/Nl8De9ba9VnHBjlrszZ8m2UTXWxavG/br4/by4P6urBQxzQREafN0bqOZi3e veFAY+vPvHHUlNaLEhRl8bQ9iik4tO2pe3NodJ8+0aFtQ2mf0GBvvU0AAAAAAACADpyJDyF07njh 1/e9d3IR+qjz/+/Xl0RPnD3J98/fvHvv7RWzJiX5NuTvW79ifVXCYIvsrV3z4nPv3Hrr1eMimt/q P+TySZYVy2pFBl01I/aEfg6m1Nsev3XT7Qt2vXDTtHdTMobGqQVbN2bWSsDkRx+9OKornW6NCXMe uXPtLfP2v37PzGWpI1JDbUd37MxtiB49zLB5R5eXU0Jjapf+4bINr2ekRbnzd23PrhEJOOe3D53b /PTEbiq7e2vumBp54Z9+s+qGv62bd8dFy9IzUsPdBdvX768S48hf/mpisIfk9dTr6mNn3jJhwZ/X Lf/1zG2DxgyJs7grDm3ZeqRBgqfff11/Y/spmwvxi4n1l13FxQ3uyMCWdU2x46b0L16RmblqUd6O PpEWtbG8sLTOJYbYCZMHBLQtzjfAlrl6Ud6OmAh/rba0qMoqYoyfcE5iS/6s6Aw6kfqsjd+p0VED R6QGn3xRnV6oI4pPfFpfw9c5e5YuaUqNDzY4asvysvOsQREmKbUd3bJx94jhg2P9PL3TWZNX7pKQ fhGed0cxh8dHlB8stXlZ2BQZH84DCAEAAAAAANA1HqPnZr3dA7oxc/P6zHavRvS74wGJjbjg0Vdc Lz/3+vI178xfaYlNHTrxd+/cdUHQpr/d/afPvl/y6dbLrjwWQIvfwAtGmJetcYycPfXkxFTxS797 /vsD3nrlw7W7Dmz9+pAxtN+IWXPvvvvK4aFdvHjFd9DtL7/bd8G8j77ZuXfzNwdMEemXPPjLu4d/ d8d1O44P6uRyQef8ad603Qve+HLLpm/LdVH9x0yacf1d146LNHRxnh+y5lMxxF3x1Hsxi15euHLb 3vUrdxlC4ofOvHHuz68Z7S0NPeW6uogLn3wn8L35Cz7ZcGjz6n1uoyWy7/hrrrz5pktHRHhPxnXB yYn+u3bnlFjTA4+dW1Z8+02+clbk9h2HCkpLjla4zZbQ2AGJ6SPTYk98QqM5fvKlCSXbdx4uLMht VPxDY/snpWcMiW09uqwLHjQyJW/DoeLMPTXO+GHtAuhOL9Qx1S956qXa1k07so7u3p5tsoRFxk+8 MiPZnP/N0q8ziw8eLEwd6DGAdtcXFDZK2LB4P29Zt84/NiXBdehIhU2OP4qwmSk0IaVPV6oEAAAA AAAARI49h9BjDK10EE7/iDTtevLyWz+on/TPz5+eEnSGH+C07Xv68hvfdVy+4LM/pLdvTIHu4K7d ++midTLh2ssGd/rUsbNs/XuL97hSL5szKbK3fy9zulwVm9//aE/I+XOmJ3R8jtltqy0vKSmvrm9y uEU1+PgHhUZEhgfS/RkAAAAAAACnlJOT4+fnpyjKokWLZsyY0Zowa5rmdrtFZNWqVXPnzlVVVVXV H2vSdgJXyar5n5WL5cLZGWd6+owfhGpJGpG45cu9WbUDhwf9dEJVR9n+zDq/1HPjTtlFQzVZIuIt EfE/SFkAAAAAAAD46fqRh3P2o+89NPfmn1398AarJF1/yzD/3i4IZwhz3JgxMQ27t+ZZz4YT/p3i rsvanOlOnjgi/Kz4tRIAAAAAAADOBj/yAFo0e/mhPbmO6NE3Pv38DYneHkuHnx41YMCkMSH5G3dV OHu7lB+GrXDrtpq+k8bF8xBBAAAAAAAAnDHOkh7QAAAAAAAAAIAfwEk9oKXN4wddLpec2AP6x34C GgAAAAAAAADQazo+4ky3WAAAAAAAAADAaeo4gOYENAAAAAAAAADgNClKR88kI4AGAAAAAAAAAPQI AmgAAAAAAAAAwGnSNE1RFEVRPPbiIIAGAAAAAAAAAJym1hYcHntxEEADAAAAAAAAAHqEvldWLSws 7JV1AQAAAAAAAAAxMTE/zEK9E0D/YJcHAAAAAAAAAOgtvRNAAwAAAAAAAADODh4fP9iMHtAAAAAA AAAAgNPUmj57jKEJoAEAAAAAAAAAp0lRlJP+0BYBNAAAAAAAAADgNHECGgAAAAAAAADQUxRF8Xj8 WQigAQAAAAAAAACnreMWHPofthgAAAAAAAAAwFnFY/ONZpyABgAAAAAAAACcJnpAAwAAAAAAAAB6 RMctOAigAQAAAAAAAACnqYP+G0IADQAAAAAAAAD439GCAwAAAAAAAADQnWjBAQAAAAAAAADoETyE EAAAAAAAAADQCwigAQAAAAAAAAA9ggAaAAAAAAAAAHCa6AENAAAAAAAAAOgR9IAGAAAAAAAAAPQC AmgAAAAAAAAAQI8ggAYAAAAAAAAA9AgCaAAAAAAAAABAj9D3dgEAAAAAAAAAgB8xj48fbMYJaAAA AAAAAABAjyCABgAAAAAAAAD0CAJoAAAAAAAAAMDpUxRFURSPPyKABgAAAAAAAAD0CAJoAAAAAAAA AECPIIAGAAAAAAAAAPQIfW8XAAAAAAAAAAD4EdM0zduPOAHdw5yNv/zvNuU/uZscPURQEVEAACAA SURBVDJ91cGDypPbRu9yuP+3Md21FgAAAAAAAAC0IoAGAAAAAAAAAPQIWnDgp0Rratyzrbq4URMR XYD/kJGB4cbergkAAAAAAAA4axFA46fD1fTln9f/O9fUx6IqotkqGxuHD5v/h4hApbcLAwAAAAAA AM5OvRlAu6wNb6wvfu1Iw/flDoeveViU/5UZ0fclGM3NP3Y2/nLe/ud84g5d5fPJ2oLnMxvyHLp+ kX5TB0Y+mmGJ1bWdyL5iW9FzB+u3FFvLRBcbHnD18KiH0v1CW3JF95aVe0Zv0z87t/+U3ML/21D5 dbVLMRkzksIfnxp5vr/S5XluT0ral//772v2NGlGP99rxvf99zBz/oHCh7ZWf1dsq9QbMvpHPnNu xESfE2JNe0Pd37/Jf/5QY5FTFx/hO3lA5COjAxPabv8pVhcRqSuvfGJd2ZL8xr317oBA/2tGx/7G 9+Rd7cyY7lrLI2dj/SvrS946Wr+1wukX5DsqNuie8ZGXBqutc5/ivot744o94743zL87Jf1g7i3f Ve0P6Zt7Y1is0qmyPXDX1e3ab7Vr4iovXrhHP+meAVMjFBGx5+Y++1rmuyuVERYRVR8zOCjWlyga AAAAAAAA6Lz2jx/UNE1RjsdsSgcPKOxRroaaO9/MWlAr4u97fh+Tsb7x6wJbo6jnnTfws5FmsxwL oCXwPHfNygZ9WrxfX7dtY761QiQkpd+2WaH9mvtXO5ue/fDAr3LcBovf+TGmAId989H6Iy4J799v y2WhfVU5FhyrtwzVLdzpGN4/cLS/e29W5epakbDo7TfFDNd3aR7tnBj5tsI4K9U/0lr/7sHGWlFH Jpr2ZNtSkkKmWFyb91dttoqlf2LmrOBI5dhVNJpHmKzbGw3p8b6xbtvGfGuliF/fuG0/ixig6+Tq UldUOOWtou2aGAN8z4nUN5TXb6x2R4fpispdoy5M35huUDs3prvW8shZV3Xzm9kL6yUgxH9qpMFR WfdFiVP0Ac/eknJ/iNKp+94SQOsfHKP796Z6m6Lrm9J346zgKNepy/asadfe+x8tLGjQfCxGU/tx bmd1rVsfaJn12OhbUuiJDgAAAAAAAHQsJyfHz89PUZRPP/10+PDhfn5+za9rmqZpWn19/e7du2+4 4QZVVVVV7a0T0K6Vq48sqJW4IQlrpock6kVEK88rmrmoaOWqnDdS+s+1HMvI62pWBoQunBs/J0gV kaaqyjvfPfL2odyfZ1qWpBpU0Q5sPfKrHJk4OfXzMX7NrRTctsZnFx98IDP37szAz1P1xyJF22u7 /Z64afBvo3SKiDY54rcLDjxVXvF2edTwKFW6MI/z27rw5XfGzfBVRLQHthzov7pxW7bj2svT3uxv 0Is4x5RNeTl3XXblDkfwjNb2wi7rdn3oorv6XhOoiEhTZcUdi44uzMm/c2/Q6nSjrjOru5qe+rxo u6ZkjEtZOjEgQhXRXFu2HJ72dV2bTe3EmO5ayyPNueSrowvrlYzx/b+c6B+iiIh716bMkWvq/vRN 3U2zLEGdv+/S9M9NxjkXDvx3mm+I2rmyvVXlkz74P0/o7nzIev/rw4b7tKu5uujBm49MfGbM5dEc fwYAAAAAAAA6LykpKSsra+jQodLmKHROTk5aWlrrmN458alZ654/6BJT8MvTmlNIEVHC4qJfHWcS rf6Fg3bn8bG62RfEXRvUUqdPcMh/ZoaGinvZttoSTcTZNP/7JrGEPTLQ2NjgKKp3FNU7ShyGK8aG xYp7zb7G+jaLxo6Iuy9K1xwyKkafyxMNIu6q5pW6Ms85k6PPb2nVoMT1tfQVkYjovyUbmq9D7x9w YbCI02U94WS5/oYL464+1mvYJyT0hZmhoaJ9831NQeeuoqmsfEGlSHjM2xMCIpo3Q9GNyuj3VMzx NTozprvW8sjdUPP0IbdYIl8e15w+i4g6ZFifX8T5DlTsle4u3XcJT+/3Ynpz+ty1G+Sd07rh3ex1 pa6irw+/v9VmzS9464PKGlen3goAAAAAAADgRIMHD3a5XDt37qyvr9c0ra6ubs+ePS6XqzmSbtY7 J6BtNfV7XaLrEzza3PZlJSnRErWuLCvP1jTKFND8muo3O0bX9mhqYHTIOYaKTyrqDztDI6yNa2tF pPTcl0o9LFPvaNDk2JladVSiuW0TY5NBEWkJiV1NnZ9HnxSoa43tVVU1ipgCzCGtLymKn67dDDq/ q6M9XUVVfbYjvI/t1KtLWUOBSMqAwIS2k6uGc/v7SGFT89+qOzGmM1fambVEc+VXOxpbQ3ZVFxto cFfW7hUJjrP0b/OxUkwB/5ozsPnP1s7fd1HH9Pe1HBvRlRvUAad182e5riF9fL/LXRYRfv6w4k+/ CJw42e+U7wMAAAAAAADQjk6nmz59+oEDB3bt2tXQ0ODr6zt48OAhQ4a07QHdOwG0y+GsF/Hz05tO fF1vMgaJFDe57K0vGQ0hJ+W5Ol28WaTRUecWl81RJyLBkW9OCwhulz/qTD5Bx19UgwxeE8quzCPt Z1FOGX2aDCEnnTVvuQpXk9aZ1bVCq1tEggL0J94wJSigdXe0xlOP6a61RGuquWbekfXH3xm47BfJ 42yOOpH4k994XBfuu6hRpuP1dekGAQAAAAAAAPhhqKqalpY2ZMgQVVUVRWn+77YDeieA1hn0fiIF jU6biH+b1112R62IyaQaWl+yOypdIoa2g1yFNhGD3lcV1aDzFRFVPyohMLX9ueNO6655vLI5Kt0n vuJyFdhETIbAzl2Fv68qIlW1TqcYjMdf1mrqWztIKJ0Y011riWLyf3xWQvGxFxS9cbhBdAa9j0h9 o8tbV4su3HcRtc0HtcdvEAAAAAAAAIAe0Ds9oE2B/oN04iqu3mJr+7J2OLumUCQ53nz8UXHuhveK XG3bKVfkV6yyi4T4J+lF7+ub4StSUfl5Tdsh2qEt+9Unt2VsP6GncAe6ax6vXA3vn3wV5avsog8P SDZ0avXA8IC+IlmZNUfahrtu+2f7mlr/1pkx3bWW6IxTB4RcO6jlP7P7+0ep4hPsnyJSnld7whvt dbc8v015JnuVvSv3/UQ9foMAAAAAAAAA9IDeCaAVc8B9/XViq7xzVWV2S3aoleUW3bLeJorfvQOM bU7Cut79Im9Rdcv54aaqyl99WVkl6vSRgdGKiMH3riFGkaY/LivZfCzTbCgru/vbRk31v+vYgwFP rbvm8cr51hf5Hx4LT5sqK+5bXlUtuitGWcI7t7o5NOS2UJGywuu+qy1p3gzNtX1bzp9Kjq/RmTHd tZZHekvQL+IUqSq+fWN9Rcu1unfvKFzYJD5xIemGLt33E3XXDWo5/68ea6RC5w4AAAAAAACgB/VO Cw4R3fRz+92Uf/iN3UeSsovPjTEbGxq+LrRbRXf++f1uDWwbCxr6WSvmvFz793jfeM22Ic9aIRKU FPfSAINOREQdMS7xD0cP/rWgYMxzpenxfsmqbc2RpkrRXXZxwk2deCzdMd01jxf+ARnW8qtfqhna 1zfWZduQb60U6ZPW79lEvdLJ1XU+v7oo+tO3i7ZtPBS313dypKGpsn5dpatvP3/j0fpjm9qJMd21 lkeK8foL4z96I2fZdwfj9/hNjTK6quuWFztFH/DPaYHhinTlvp+kW26QKfC258dJoMnUd9zTOlOQ If3Fp9RgxdNjDQEAAAAAAAB0g945AS0iOr+gV29JfTkjaIKPc+OhqpVVSlpC2JNXD/pshPmEJ9T5 Br56U/Ljg8zuyrrP8xx+EZabJ6fsujws4VgjYMXk99icQR9MCJkWruTmVn+c74yIC3v+usEfDPZ+ nNaT7prHs8DQD25O+n2yPj+3ZmmBMyQm8J7zB2y/MCj6WHDamdX9o2O+viXhd6n+/TXryqya7Q7z zecNWDclILjNOp0Z011reWQMDvv41pR/pFsGiW35gaq1tboJg2NX3plyX0jLpXb2vrfzv90gnU51 OmutYg4ymhVN8TUFmsSt6kMCVXej3aopRhpLAwAAAAAAAN1P0TTt1KN6hbPxl/P2P+cKW3dX3/Hd kAHjp8xW986DGxdmef6s+4wY9J9HYqN6618DAAAAAAAAAD8mOTk5fn5+iqKoqtrxf6uqSuiGnwJT wJznps0st1vdJ/9E0emDwwxGmkEDAAAAAAAA3Y8AGj8Rqi4owqe3iwAAAAAAAAB+UnqtBzQAAAAA AAAA4Ox2BveABgAAAAAAAACcYbrUA5oT0AAAAAAAAACAHkEADQAAAAAAAADoEQTQAAAAAAAAAIAe QQANAAAAAAAAAOgRBNAAAAAAAAAAgB5BAA0AAAAAAAAA6BEE0AAAAAAAAACAHkEADQAAAAAAAADo EQTQAAAAAAAAAIAeQQANAAAAAAAAAOgRBNAAAAAAAAAAgB5BAA0AAAAAAAAA6BEE0AAAAAAAAACA HkEADQAAAAAAAADoEQTQAAAAAAAAAIAeQQANAAAAAAAAAOgRBNAAAAAAAAAAgB5BAA0AAAAAAAAA 6BEE0AAAAAAAAACAHkEADQAAAAAAAADoEQTQAAAAAAAAAIAeQQANAAAAAAAAAOgRBNAAAAAAAAAA gB5BAA0AAAAAAAAA6BEE0AAAAAAAAACAHkEADQAAAAAAAADoEQTQAAAAAAAAAIAeQQANAAAAAAAA AOgRBNAAAAAAAAAAgB6h762F7XZ7fn5+bW2ty+XqrRqAs4OqqiEhIb1dxQ9NURSz2RwUFGQ0Gnu7 FgAAAAAAAHjWOwG03W4/cOBASEhIfHy8Xt9rIThwFtA0LTs7OzAwsLcL+aG53W6Hw1FSUhIdHc3/ GwEAAAAAADgz9U5qk5+fHxISEhISotfrFUXplRqAs8NP9t8QqKpqMplEpKqqKjw8vLfLAQAAAAAA gAe9E0DX1NQkJycbjUadTkcADeC0GQyG+vr63q4CAAAAAAAAnvXOQwjdbrfJZCJ9BvA/UlVV07Te rgIAAAAAAACe9U4ALSKKopA+AwAAAAAAAMBZrNcCaAAAAAAAAADA2Y0AGgAAAAAAAADQIwigAQAA AAAAAAA9Qt/bBRyjWY+s+HBdWfsf6GKnXTUlxtALFTVlf/nJ3tiLLkqzENPjbKLZjix56cNMe8yM u+akB3jqxO4sWD5vseOiuZf0NZz6da1h7zsvb0q+5eYxwXxTAAAAAAAAcIIzJoBWjH3GXniBQxMR R/GmVbsMGdNGhOlFFNVkOWOKBM4G9uLdR+0iUrw3pzE9zc/DCFVVRBRVUUXcp3xdVRURUVTSZwAA AAAAAJzszMl2VWNgaJiIiNgbDYpiCgwNC+uFc8/AWU6xFe46Yg8fd45h47rdR5sGD/ZpfwZaUdr+ n1O8riiitBsJAAAAAAAAyJkUQHfAWbrxk1V1I2edl+CjiGgNh5Yv2RM5Y2af/Z9vNI0Y4Mjcn1Nu NQTFDhozJjXMqIiIZi87sGnL/vzKRs0ntF/a6Iz+ocaTAjLNXn5o65Y9eZWNDsUU1Gfg6HGDI04e 0/Fgl8eqLh0RonpaXbMeXfHpgcQpSSWbd1TFnTdzWLCudXp77orFe+ImJlfv2ZtT1qgGJ4yYOCY5 UOe1SHvuisV7YsfFl+7cV1CnBMaljxtiytq4Pbu8URecNGrKmAQ/tXObgJ8gzV68O9seNnFouvHI tyt2H20cPMhPNBG3rXjHV19tyixp8o0aOHZY6wFnb697ntxWtGP1qk2ZxXV21ScsadT0C0b3MTkL vpz/ftXUO68Z6KeIaHU7F87fGHf97ZMjVFvh9q9WbTlUXKf5Rw8cd960oVEmRZr2vzNve9qVQ3K/ +qYk+ZqbzwnXdbgkAAAAAAAAzmQ/in81rw9JiNFXZJfZNBHRGguzqs39EgJ1Iq66gxv22eMypp03 IdW/dNtXa7Ma3CKumn0rV+629xl57oUzJg0KKN361bqjjdqJUzrLtq/ZXOw/YOx5M86fMCigbMe6 PVUub+t7Huylqg5Wd1Xv3ZCpxQ8d2tfv5H13Ve3dUhiQNmXmRZOStCObN+dZtQ6LdFbu3tUQP+6C meckuHO2fLF8v2HQlIsuHBfTdHjb7gqndG4T8NOjKPaiXUfsIYNTAgP6pYa6C3blNomIaHV7P31n VW5Axqzr51yYpm1Zvq/B1dHrnid3Fq79eGVO0OhLrr/5hlnjQgu+Wbqx3K2aoockGov3FtoUEZH6 I7vLAgalRRjclVveW7TBmnL+tbfedOW4kPxV731+oF4TVVUUV9nm5TtkwKTJg4J0dPYAAAAAAAD4 MftxhDv6kMQYXXl2uUMTd2NBVrVPQoKl+VikKWHC+EFxEZHxgyeck2IsPXC03u2sPHCgLmrcxPS+ EaHhsQPHnjPAWJRZZD0hfNXEGDl47DmjB/WNDI/sOyA1xmSvt3s72+ltsMeqOlrd7TQNmjxhaP/4 4HZHkTUJSBs9uE+wJTh20KBQpbHWqnVcpCF6xPDEMEtwn5TEQMUneVR6fIgltG9qnNleZ3WLdGYT 8BOk2Ip2ZduDBvQPVJXApP6B7vzduVZR3LUHtuaYh18xa+KAuLiU0TMvzwgQURQvr3udXMx9J8y8 4oIxA+Ji4lNHjk70tdbY3SLGqLREfcGeIruIu+HIrrKAwWmhemfp9u3VCRddPik1LqpP8qiLr8gw 5ezIaVJEFHE5fMZcfdnkkf3DTYrWvR9aa9bb98+57s/LS9rk6Frjvvl3z7n92S21P+IviFb9zZ9v evDTImd3TWg7+PJddzy3x9qp17t99S7Qatf9ZY4nNz21s6l7lnDX7lu+eE2e7fTebT/y9n23/mNH N9XSvaz7/zv3zhf2tbvLXfa/bREAAAAA4Oz2o2jBIWIITYxSvs0uc8QEFRyu9kscZ9GJW0TUoD7B LY2i9cGxoboj5Q3OhPqKJkfltx8vasnJNJfL7V9vc4vP8X/Kr+iD+qXoy4uz91dUlJcWF5TYJN7r 4l4He6hKs1Z7Wd0sovpFhvl4jvxVn7BgkyIiouj0qoiI1mGRqsnScjk6naL6BDb/RVENqiIiotm9 leFDP4OfNHvx7mx7wNDUEMXtVkNSkvw27Nyda01NqCuu1UelhOldTqdLUdSwpCjDLhFxeXndC2P4 wHRTYc7OTYVFRflHs3IbtVRFRDRD1JBE3eLdRY6EkMO7Sy1DLg3WuZvKiupsxYuff7KlrbTmdLiC aqya4i+iC+wb66u5XG53xx0/ToM5adYtE7/5x4fvfj/+/gyLIiLiKPzqja/r+98yZ4SFHjU/Qorf 0LmPP9roFpGmva888aHPjb+7LtkkougCos3ds4Srdv+Xn+wOPG9ynImPiGdsEQAAAADAux9JAC36 0MQoWX+koiYiq9ovYbxFFWkXTamKaG63aCKqb+q0GYMDj2e9it50QvCqNeVtWvFdji46MSEucUT/ xMxV6xxe1/Y+2ENVXle3iyg6g87b/zZXde2S4VMUeeJz4E5+byc2AT81zf03bGLb/NqTm1tfzd2Z Z03wUxQR0dxuTdNExK2JiCaKonp83Qt3w6EVCz89YEhMGzRgyLkZQ79/9xOriIimGWLS+sqSPUWV sbtKg4ZcHKRqmoiogaNn3zg+TNVERFEUTRSdoeWbolc0t7tHziMr/umzb0jf/OKbSw4PuT7ZJO7q re98khd9yd8mR/D1+HHS+cckJouISEOlr6Lzj0lKTu6m5BkAAAAAAPzvfiwBtGIIT4xwr9+zp7LG P2liwLFU1V1dUOWIjzSIiLM6v9zl199fb9IHGawVdWKK8lFFNEfpjm/2GkZMSgs+PptmK9mX7Ug4 76KxEXoRcRQ5Xd6zrg4Ge6jKZPG8elCXL7lLRZ5E8VZG8Knfi7OWYi/alW3zGTjr2nMidJqmKIqr bN07iw/uynfNiA10r88stSf00YuIo/xwsUOLFdEFen7d0+SK2HI377GnX3/7zBi9W1HsOZsczb8l 0jQxxqTFu5du3FBcFjz0kiBVxG0OCzfVF1ZqPvG+IqLZ89d8vN40ZdbYSDn2np6ihoy76arlDy56 4+vzH54RePjThd+bJj90UV+jiIijfNuH89/5el9Rk2+ftGlzbr9yeKheXGXL//DgN+c9/fh5YaqI u2Llnx5YNfmfj08POzGxdpRtfm/eu2v2lbhDU8ZefvuNU+LMitaQ9dVbb3y2ObvCqgbEjph52x2X DvBXpH7To/ctybhvSu4nn2/KLNfHT7z2F7dN62M8qVCPxZzqvbaD83/xRMn1z/5hQpAi4i5f+ZcH lqQ+/PR1CYbjE3upSrTGw18uWLBky9GGgMSxF09t7afh7XWP/p+9+4yL4lobAP7MzPZl6b13RRBR EEQEu6jYozEaNbYkpt30nlzjTWLKG3NvetfYS6yx9y4qNsCCCiq912XZNjPn/bCAy+7SVUzy/D/4 2509c84z58yuw7Nnz1isXHf9l5csRsXU3tyz7Pdd529X8LYB/SfMnjU8QEaRmpOLXtob//qga0vX 3Yl695NHXYoOr/hl86nMCp3EKWzYrAVTI+3b/m2B5W5srhOIJtekrV6a7W+9sakY4JunF6R/8PVT wcK2xDzVR2ghFl3+viUL16iT/v3OBOfUD5sZRwsBU4V/vvX6wajFX0z1Fupvr3713Z3MxM8+n+Il 1N1a+cr7l0d9+fFQ3bGWu6i5QQcAfcmppRu2HL9RLfaKGDV7/tgQa7q5frP8Xvgg7MQ7TbpI3ObR QQghhBBCCCH0T/DXWAMaACihU4AzV5xdowjwsrobtSbrZPLVvJKS3Csnj13XOnb3U9ACx+6BVqVn D6fcLCgry89IPn61xsrZqsmBUoxELtCV5RZUqFRVBVeTk7N1rFqpZi3mvFoqbB5VG1pv6xG3J0hT 9y4M9PehK0zP0lr3jO3u6ujo6Ojo4ODgGhwdpmBzUgvE3aJ9dJe27Th9My//1vk9f6bWAUUBoa27 9bWw3TJKKLcWqvOvZRVWVhVnJu/YflWjr61Q6nhCCBF59PLSZ18ttwvvZkPxPM8L3fr2tsnbu27P hcy8vMyzO7acrbD1tmXuZ+a5kcBt+Nwkx6yNa87ePLjigKrXjCk95BQAUV9buXDJfn307Lf/8/as Ppo9/7dozc02ro5LVOnLFn51SjL0mYUfvjzW+fIv//klVUW0N1Z/8ftlxxFPv7voveeT3K6v/27b nfqfMeiz/1x+yW3Cq5988tJAcmLZsvMmC1C3FExL+4p9BvQSZx2/riQAwFdcOppjGzvAs0kytJmo uLIjX/5nxRXbxGfffXtOLLv7t+QaDqD57ZZZrryZqPT5OxZ/tFXVe8ZbHy16eaxrxvKPvz1ZYfjW Qp+74+f9fPSUqf2c+OzNX/x2wWb4gvcWvjkjvGLXd8su1bb1LGm2G5vpBL15Wxq38Ys/megiDH7u +++fDBK3LWZLX+1yZad++nh1+cDX3pjgL6GaGUfLATMOPXvZVqTdrOaBr866Vg5QnH6rlgBXfeNK tWNEmCKvtS5q/lTka8/+trUmavab7z0/2jlz/cf/t6eIa+d7QeDepIvaODYIIYQQQgghhP4x/ioz oAEokZO/I52vC/C+m0elhB7RocKsMwcvaIW2nn2G9wuyogHAvtfwYYIz51KP3NTQcufAuKG9nYRN k2ZC5z6xwcfPnth1jbFy9guPTxCfPnnuxHXnkcZLVrSlsHlUjOXWO5BVa7bdoDbs3EwY6B9MW5R+ S2sXHe5AsSxrWFKDYRwjwm1TzqbmCSdPnqnfvevU9rUnJK4h8ZMGXNhRCgBgFTZ5JmthuyUi7yFj orbt3rb0LGPrHR4/abJ8x7b9Oy56Pt7XlgaxZ7gHnamN6GZLEY4A8LTTwFmPC3ftP7H5ooq28Y4Y N22wp4i654s+Wyb2Hzc34din33ycQntN+7yfPQ0AUJex43ht2PyPp/S3pQH8X9DffHnV7sxHg0Ja r48o07af1MW8vCApQk5B0JwFxd8eLKlhu8t6jHtyUPzAYAUN4EVd2LmkVMUBCAGAJy7j5o6NcKDB a8yYgP2bC2o4sDb6PG4umLBm9lU07CjxHRAu/PLYTVV0pLTi0tEc+7in3JvknwmxGBVXlrzrqnTw +8+PD5EC9PCzLslYeAwAuBLL25vpCMuVW45Ke2fv3pKwJ995pK8VBeDvbV16bdH+y9Vx8QwAp5WP euW5EU4MgPpSfo3Ir//A6B62dIiPs3NEhZOl2cUWNdeNoWA5TlJloS2KZmgAoBmaotoYsxm+Jm3l x9+lBz336fSw+onHFseRsRzwvwL7hEgPnc9WD5HlpZa5xoar0i7mahL871wqlvfo7UpZCrst4wIA BGwGPrtgTHcJQHd/m7JXFu0/UTB8VFn73gvGXdTWsUEIIYQQQggh9I/xMCagRd4jHrdwS0BeXakC +xAvmVGKmBJY+8eO6hZrUpSWuvYcNKZnC23QMq+oRK+oxuf+Y71jTIpQUv+R0/wBAKCFwhaistg6 JfFNnOZrORiR94hp3paeNdeuzd3ytFXImGkNSQHGvs+kaS2Ggf6xKEriO/6Vd2maZdnG5ZV5nnIa +Oy7gyiO4yiXPuPnRY1vKB/5EhhKCixvN6paFvbEG714nueJPHjYzG7DKQAghFBU+NNvjOI4juM4 QjhlcTXl2i9QAYQnAMDzPCXxGjDlyQEAhvIcx/E8T0tDZr0RxvM8x7Uwz7bz3WEV9uj0Hid/LBg0 a7i74WOQrbpTxDoPDqhf4Ye2Dgx10J7NqeZCWv/pgL4ss4B3m+IjM9xJVNZjxhs9AAAgbogk88qJ Xbeysq5fvnhVSaIb9hDYBfoYWqKEYgEFJmtrNxtMmLy1faX+8T2Zr49nqiM8Lx7JcRjwtFvTXCQl 8bIUlb4ss1zoF+kjNZQSe0T4io+3sL2ZfrVcucWo+JrcrMq6218/N6d+bXxep2Odi2tZsAEQOPYI tjVkciVBScNcP/nmuX/tie7bp3dUTHQPl7be6K75bnSxHKfltu4uvs+r2hazx78lCAAAIABJREFU CaJJ++2bK0B4UWkdDw2LY1gYx2YDDvWODoBlF/NV9lfyxGGzB5amrrtcpJJcymGCEr3FEtJKFzU7 LgCU0Ke3d/2a2RLvPv6io7fLNZ14LyCEEEIIIYQQQqYexgS0OaKrKinKS7+udoz0kj80fwA/nFEh ZBEhhG9gvJFlWYqi6u8x2CSvXP+UZVmaps23mzwlDaimUyAJIURblpebdTql1n1EsALu3luQ4zjS sOKGYV/j2u7FQbeElru6yimVp0OT9Kxx7BRN1WfLjRFWZ2EdHMIRoGiTjwG+6vxvi74+I+o5IC46 ftqw+IOffFfX+KJA3OpPEpoNpuV9pYHxPeD7k5n5QUdyHeOfcTX5lG8uKoo2ubEpdbdlS9stav6Q LUTF88A4jHzz3+OMlgihJQohqAAogaThGCl5j8c//mlIxoVzFy5d2LB4/erIZz5+Md6xzatAW+rG ZjvBYls2RgfYtphNEJCFz1/0aN2P72xYcWrAmwMdDME3M46WAqZkATGedTuv3PK8pvKY6BdU6VJz +Pot6Q2N93g/KVBUK13U4qlojKYomjaMeEffCwghhBBCCCGEkIm/Rt6Uq8lMPnlV4xEV7St7eH7f +3BGhVBzTLLPBobEtCH/yzdlsqP5duMChpSxeSWEEL4yfc/2s6qgESND5CZrPBsXM6/twRLY+rgK StKzlIam+ZrM9DKhu7e1IYvHaQ03ASXqvIxSvem+Qnt/Jyi6nKs27FuX/sPLr/yaUX5l+zF1/OuL Xps9LiEiwJHR6Np8VC0H0zJKGjgwhE/9c+vePOeB/Uzzz6TWclRCpyBH9vb5bLWhmDY/9Y6WtLDd ouYqtxgVbeXhKa3OKqYUtra2trY24uLdP/5yqNh04jtXcX7j8u13rEIGjJ3x/MIlC4cxF/dfVbat J5vrRrqZOFttq40xm6IlwUNjPLyGzh5lc3nNhsvNL2Hd/LjTNt36OpWdPnqyxDHcW24TFGZTdOLo 6XKX6GAF1WrYLYwLEH32xZz65Z01uedv6ZyDnaWdeC8ghBBCCCGEEEKm/hozoAWOUROmRZludImb 8miXhNMQgKWoEEImhO5Dn30zEQCMV/94CMm6J8XJPlr67UZ6ch/b8rMbfs+wGfRBsAwY4uJA5R7Y mRKa5FWXumVNhpZyNNmVso0YE7Xyyx9/9pmX1E2Yu//XE+rub3pa0Q5i1c2U1Dv2AUzB6Y2/nq5T BxVVanu4dSIYqG19X0oenBCs/e/pWq/p0c6mKWtKZGM5Kufo0aEbfvr6O+c5Sd2Ed/avOFwNAgBg HC1vt9xyc5W7iWnzqCQBI4c4vrvs82Xw+CAfcmPHzzsLot93EQI0udsdLYLco+uPKsXzRgaJyq7s v1Ct6O0qaeN3fs10IwWW4wxRWGyLqgWKVxUWltdKHNoUczPE/uPmxB35/PftiZ9Oc25XwADAOIb1 slq7K8sucbYNI1T0DIDtybkuE0PtmNa7qNlxsQOgoebYDz+5z0r052/u+n1/Xc8FsU6MzLqd7wUK 7naRFd5uACGEEEIIIYRQE8wHH3zw4FstLCx0cXFhmDb/hhoh1Aye50tKSuzs7Lo6kJY0zoy+H5Vr tVpbW9t278aVX9hztDJk5JDA+hV0KKFTz2hv9cU9Wzf/efiK0m3EM69MDbOmAUSOgQ5VF3Zt2LTr 9G1B35ljmUs3XYcODmiyHL3YrXekS+mpPzdu2nksE3o99sLs/q4yxyA31YXt6zZsPZRa7jRs3jjr m/u3nxf3G+hXc3zXZcchI0JtGADQ5x/dddl5yPAexvObmw1Gl3/U4r767CN7rrsPG9ZdQQMlVNBX dp+VjZ07NtjK9GcuAgfLUQ3qHdY3XFFwatfWbQfTld5jZ/ctT63pNbKfq7VPpKXtzsZpaE1962G+ 3SwfcjcFbR4VYxcS042+fnj71m17zhYoBsx+cXqEnYACbe7R3ddchg4PsaYBKJFLiC9kHtm+efu+ Y5cK5X2nPz8j0lFgKcepzz+6PUU0YEysS0NszXVjc50wPD7a37wtWiiovnp066aT+j5D+gT0bD3m pidaVdq+Y8reSXGuQkrkFGB9c9v6FKu4WOn53RbG0UbSzLgDMFJB9oFjhf4Tpia4ixiR/tKuFH30 Y5P7Ogha76LmjjfOPuPgzfAnR7EH1q7ddjJHHDHtlWcGu4uodr8XGKMu6mX/1/hmGyGEEEIIIYRQ J1RXV4tEIqqNuuKn7nD+/Pnw8HChUNh6UYRQi/R6/eXLl/38/Lo6kC5TXV3t4+PT1VE8VPTZ619/ P230kv+McHqIvuZ7OKNCCCGEEEIIIYRQu2VnZ8vlcspwK6EW/6VpumsmKtE0zbIsJqARQp3E87zJ bQ//4fja3Ixr57furQyYFenw0OR5H86oEEIIIYQQQggh9AB0zU0Ira2tKysru2TyNULo70Sv10sk kq6O4iGiLzr8y7c7qvvMnBfr8PDcZPbhjAohhBBCCCGEEEIPQNcswaHRaG7cuOHk5OTg4CASiR58 AAj9bfxjl+BgWba2tpZhGFdXV/w5BUIIIYQQQgghhNAD064lOLomAQ0AOp0uLy+vpqaG47guCQCh vw2a/idOKqVpWiaTeXh4yGSyro4FIYQQQgghhBBC6B/kL7AGNACIRCJ/f/+uah0hhBBCCCGEEEII IYRQxxBC2nhfrn/ixEmEEEIIIYQQQgghhBBCHcMwDM/zbSyMCWiEEEIIIYQQQgghhBBCbSWTydq4 rjIhBBPQCCGEEEIIIYQQQgghhNrK1taWENKWHDRFUZiARgghhBBCCCGEEEIIIdRWNE3b2dmxLNtc DpoQAgCGRaK77CaECCGEEEIIIYQQQgghhP6KZDIZRVFKpVKv1wuFQoZhAIAQYkg9AwBN04YENNW4 CSGEEEIIIYQQQgghhBBqI0JIbW0ty7IAQNM0TdMMwwgEApFI1FhGcPHixa6LECGEEEIIob+G8+fP Dx48uKamxvxBV4eGEEIIIYTQwwvXgEYIIYQQQgghhBBCCCF0X2ACGiGEEEIIIYQQQgghhNB9QanV 6q6OASGEEEIIIYQQQgghhNDfEM6ARgghhBBCCCGEEEIIIXRfCLo6ANQRarX60qVLhYWFer2+q2Pp LKFQ6OrqGh4ebmVl1dWxIIQQQgghhBBCCCGE7iVcguOvR61W79+/PyQkxM/PTyaTdXU4nVVXV3f7 9u1r166NGDFCIpF0dTgIIYQQQgih+yUvr+DUqbMqVV1XB4IQQgj9lchk0ri4GE9P964OpIMwAf3X k5yc7ODgEBYW1tWB3EuXL18uLy+PjY3t6kAQQgghhBBC98sff2wbOnSgi4tTVweCEEIItcnPPy+f M2d6JytZtmxNJyspKSk9cuTko49O6GQkXQXXgP7rKSgoCAgI6Ooo7jF/f//CwsKujgIhhBBCCCF0 H9XWqjD7jBBCCLWXs7PTX/r3QwJCyINs7/sDSi0LDE2xLK/TcXo9r9NyOj2n0/E6Ha/XcTodp9Nz eh1fV8eKhdTmz0IfZHh/CSzLSqXSro7iHpPJZHq9/gGfjQghhBBCCKGHEEVRxk/xzwSEEEJd6J78 N/RgKtHk5N567c3aS5eInrVYgBIKrHr3DljyudjT4wGUb/Sgb0Ko0cMb4xwYuv56gmVZvZ4Vi0U0 bToXW6fno2cmd6YtPUs+XK5U68gHs63lUqr1HUwC0OmSk5MFAkG/fv0YhulMJAghhBBCCCGEWmVI Pav1/PWiGgDo7motEdIURWEOGiGEEGpVxqtvWvn6hy74FyWwnPIlen3R7h0Zr7zRa8Pqe1KeJ7zh AU3R5uUbtTsBnZWR4ekGtdcPgeqSoNBKHtVfEDy57btrtSyr1zUmyatV3IL/Zi2c5dXd28KUXp2G a294jfQseffn8pRsjufID1vgtek27a0hNTW1tLSUoqjjx4/Hx8d3OAet0WjUarWdnV3HdkcIIYQQ QgihfwKKogjAmjO5e68UK7UsACgkwvhAhycT/CicB40QQgi1puTCeZe+A5UXL7dQRursdWvrRvPy PCEcz3M8T4AQAhQFFFAMTYudPC2WJ4TwhMhCgwQ21hUnzgpohqYoiqKM62/UzgQ0q9Vf/kymoeQS R1ZfcPtiZfqmveLw3/ou3N3GClS1euOnOpZnOfh4dd4HT3gFuEtMCut0HUxA61ny9vcl57L1JTTj x+lmjnTsQCU9evS4ffs2RVGlpaVHjx4dOHBgx3LQFy9eBIDu3bsbctBZWVnZ2dnNFaZpetCgQR1o BSGEEEIIIYT+6ladurP1YqG9XDA6ygMIHLxavDe9SC6kp/fzxnnQCCGEUMvULCvQ6louwwDUNSyg 0VieJ4TnuODP3zEpfPnV/0gEApVZeY7wjLWCsZJJfb3k/t6lh0/KPBz12fkUTQkpus5sgY62JqBJ bT6X+XFeakZeqavU5xl3eyJketj1+V4ioW0dS1SX/iePeKkt9ahUepMtVlImro/9f1bm/me2t4+L uI3xtEDPkte/yT+frS9ihD7q2k9f8nSx78hKI3K5fNCgQYcOHaJpurS09MiRI4MGDepADtrZ2bm4 uDg9PT0yMlIul+fn5+fl5TVXGK+oEEIIIYQQQv9AFEVp9Nzu1AI7CfPDrCghQxNCJkd5Llh2dufF vEmRHhIhAwDAV187sP3I9Qoty4mcox+ZGufSuXUliTJt9aqcgfPHeAnbs1dN6rp1uXFzxngLucob mSSgmz1juSqjkq1Vqi9LP7I/OaNECzQl8RwwZXyErelKlR3TsWP8qzSHEEKokYbwtEbdlmLG5XlC OJ7T6HQAcPiJ53kgNFBAweDfv9XW1giEIrVZecrW2uO5J7JXbOBYPeH5OmV1t1nPF67apL16k2GY xvobtfR/dW1NzblTJwO7d7+efi6Y2qC7dbvHUz8XbPsh5fSRx0Yq9n645ejhggGJzBAvRsifBDKb ULatHmFllbZOy8vEd/8fJQRcHCW9utv+e1nOp0/6uDmIDNtrVJxWbxpuq/QseeXL7As5ukKByLtO +eJ0156BHb9fn7Ozc2Rk5Llz5yiKKikpOXjw4NChQ9ubg/b39y8rK2NZ9ty5c7GxsQkJCQkJCR0O qWVEm3dk6VdLd6Tk1BKpU7d+U994a0qg6cTyTtDnrJo38xfl+O/XvhJ6D6ttnTr1i+f+e9l33v/e j7eltDeXvfrxUasJH/5L9OM7G/KNion6vPbpwD2v/fcyD64TF3803l0AoM1a8caHh6pBGvPGf5/x u25UTwdjIbqilC2rtxy9XFhHJPa+4Ynz5g1TZGz6cfm+jApWaOsTNW7B3CHOqlSTLW7tvPjiVbeO bd97PkfJMXKXbnFjR0XYt3Li8dWX1i/dXxf5xBMJzhbf2Lqi1PPFrn16deh7HsMQ8AAAAhvv3oOn TBvT0/DNDlFl7lu1anfKnSoWpC6hCZNmPRLjIjLaxfJY9GjnGaTL2vDVpjsEXIc8OSPKjibK1BU/ 7NXHz5sT69BMx3TqeAGArcw4ceBE6u0KLYgULv59R4+KcmrjKHIVp3//9Zg6YsbTI9wbd2l1gBBC CCGE/n5Wr65fAvLxxx9vtXBGQXW1SjcuwteQfQYAAU0N7eGy+tSdjPyqCF8HANDnHTuc5/fIghku Qk6t1Im66LqKUoSMfjTISgigKzx7LDXAp1tzV+t3S7aM1GbsWHcMBkx56jFnMehqqnnFvck+I4QQ uq/OXLwJADG9g9q7o57lVmw6MmfKYOMb43Ec//WPvz/31EyRsCNf4mmA0HVtSEADuftAVccTPuDn /zNsGbz8W8ODfZPnAABbqwIxZ1yeqlMTnrefNr704LHS5LPWvcMAiKak9ObXvwQseCLrjY+ENKMG 0/m1gham3MoVipDwXura4m4OWSt/rHDTVPh5Px8TGbz8rZW1AhsX17pp0zhPVkwFeUDYHJ4IwKx2 c0IKHnnnmlbL6XW8UECtWxwCABod7+wo8fdTvPVrzuJ5Xm//7+bhsxUA4OkiadeMYJ2ef/H/slJz dIVCqaemNinOeswA207OKQ4MDCwvL8/KyjLkoPft2zds2DBBMytzNyciIuLUqVMAkJyc3L9///bu 3lZ8xfHFz3xwROmZMO2ZcFn51dQqBxvRfWnpfml2sBpeIISQxie0oteUJxXVVemb/jir9B45Y7iH 3NFDqDW8WHT+SkWSmxOjLzybWg0AQAx7G9XTIXz1uV8+/D6lziVy1NQgSfXt6zU2cvbGup92ZUBY 0mNhTMFtrbOCUZttaW+D+rxD28/mgG/MYD+6vFBvK6VbrYGSuPfoHaXztbJclNRlHT1wXDM0tKez qAPJd0OdjgNnTPRVpe/bunXJrZo3P5zRXcqXHvr607XXGf9Bk8e4aa8d2L73h080io+fCJE1/kKy ubHoSAAARSdP3A5N8hcT0nJNnT1e1Y2dK/+8rrELjh7kIVYV5apkkraPIqn/NCTG0bUyQAghhBBC f0eDBw82PGjLFRANQFge+KbzkDiOZ/nG3QnhQSARMwDASBWGyUZs+aU9O88XafS8dcjwcQl+Mq70 7LYdaRV6nRac+o6fEOMiUKat21wW6JZ3NlPUf/pErzv7d5y6reQoq9BJj/cF4KvSdq7aX1yloj3j J4+NsGvIJZOqcyvWFg+Zn+RFFez/aVVO5Pw5/ey11zcsSwufEnxuY+7AuYN1xw9eqSi5s3ZVRuTY Ub4WqiK1GdvX5gycP8ZTk7Zm7Q0HV1JVU1Oldew3aczdhgD4qqvJec5D5vVyFlMAILK2rT+01L07 zuTraEbiFjU6sZe92kIlRHnjwNbDWXWEgE34hClxLmC6193eNOurhktlokxb+0e+j7euoLiymneP nzC8m7TMvBstHYJpnR2fAoYQQg+lFv4LO3PhxrcrD7B67QtPjOjfN7RdlSz+dtOZ1Jzbd3I/eG0m Q9MAwHH8q+98cuzstRs3bn7/v8XtisRAQwit1bZcxlDMUJWhPMexAHB80hN6nud5ngAM/3M10WoB gGi1hDQpT2k0PMfJQ7vd+m0VpdVRPA88EbJszYU0omcZOwVfVK4hpsmaVjKhzm5u+oLzL79yoEpL cnnb9MW3XnlWnRjmdSM1u5urWl8tp0c7CX2DecYLKHmrhwcAy9/rbrivsUFusZIAqPW8Vs872IuV Km7h8ryv3uzm4iA3rPClbUOvNXrhs4xLd3RlQrmjVhXqzbwy3bPt+7agb9++5eXlFRUVhrU49u3b N3r06HbVIBKJQkJCUlNTASA5OTk+Ph4ANm7caPwVhwHP85Mnt+OmjsbYgn3LjtTQ4W/8d1GSMw0A MwEAiDZ771ef/Lj7WiVvHTTiyXdeHesvYXNWzZu5TJI0iBw7cEMpCxz/7ucvDrCtOvnDwiWb08s5 oX3I6NcWvxil3G+6493GDNX+sPtaFS/3SZj99luTQ+TGB1NXV2foN7m8/sRQqVT29vbnzp2TyWQd O0Bg1SqlkqG0dTrDJanEvVd/d66kbv8fZ3Uu4f0HhEgA1KkAYB3gVnfn7A3lUCd58YWLVfYh7tXX KjrYaFNcyamtKSo6eM4bzybY0wAwFoDUnqlUA/j0Shg2zJkBACC11SZb2n+sqlotgEtAeJ8+Db+7 I7rC87t3n7pRrgWhXUji1NHBbMrvvybbDuzDppwt9n70qQGFKWdTNLrgnlZpq349aZ00we3i9tOl 8sD4CUl9FEWH127P5gD2/fjFsbBpC0Z5dujncNaBkbEDbGN6SAreXHv0z7Tx3SJrT+2/zgp7PvXi rL7WFCSE0u+/t+3krmuTu0daGfa4p2Nh5e/L37p26HyMd3/jCdRsxeWDO4+kF6mJyD64/+hRUW4k r3PHy1ddPXldQ3kmTh0XrqAAoF9DQwd2Hr1cVEckzj0Skkb0chQ2s7GBrujU2lUnKzwHz5rcm75l GKBeXkKlacAioso8um3fhXwVz8hceyZOGhYo7+gkfYQQQgihh4ebm1vbCwe52diI6T0XcyfH+gkZ GgD0HL/3Up5CSHX3qL+pu8ijf5Ro/apVRVH9YnoHOYop4Ksu7b4gHzZzvjtVcHDZjuRuc4e6OvQe OytaxJDqCytXnynsM84LQF96JT9q1oIRNlTFmRWn9DEznwtRUBwHdF0ZX1cjipw314suOLRs+/mS sGFu9X8nUwovH2FabjXvTrIKFX7UnVxVjKLmVqUiyFVMAQDQ8oD4AZ7XUvpMeyxQDEQJ5lUZ/znA KStk4+eOdKFKjy3bYtwQAFuVV2vl5yZpcgnIV17YkczHPfFkoERze8/KHec8Hw81r8RVfftspt2o eTO9RZxWTwn4yrPme9VXaKGv7uYE2Mo8MnbuFCeq6vzqtUeyfcd6m3ej+SHQZnUOaVNuACGE/vIM 2eeyylqO1X3x48aXOV18v95t333EgJ5XbmQnp2a/v/jnD995Cgi8/t6nJ87dsJFRkye0L/HYSE0I o9W0pViT8no9ADBarZCmBRTFEQIAtF4HALRWw5iVJ6weaIoBImH1BV9+TwHIAAghtIABjiWaujqz RHlLCehb1zP8g30uXb9Ww1IVuTesrfVJPrZXt1bHJ1g7yjTC3r31Tt2sAr2qtGE3Ttf4BpY4ODu3 eoQWEsoENDpeq+e1et7WQaTScu8uzftkvpe1rN2JO2spRbFaAiIdp1OqGI4nNH0PUjiEEJ1Ox/M8 IYQQIhZ35Af9Op2O4zhCSGPSmectLDBicWMbafMu5gJ49+9lb5QJ1mev//cnO/OCH3n5Sauj3y5f 8o5D9xUL/AAA2OtH1S9+8Gncr+8s2/bznsl9B5359Y/0ml7PfjHbreAWFSDNXf+y5R0BANicDQs/ 2Vk7+r3vxggPfrzwuw99IpfPDzBKu8lksiVLlkycOLG0tNSwRSQS/f777x3PPgNAzpr3XlzT8MS6 hYKMU4Rv9oEzWapoj9SUMoc+8VaH7lECWl+SUQzgGhFsc7eTKVnIiBjr66dXv/t+5uQnpg3rZsOY b2lvQxLvyBBZ7rWDS5cVJIwY3MdLTrOlp/48fEPp2GvIUFe+Vugqo6EGAPS3jl50DekdFaBgoNCo Aq4gLTcsfmTU/j9TDu+/3m1KQGgfr0sHcm2iJ44KcXLs3Bx8xjYo2BZyim9XsL2qs0oBXEO9DdlS oUM3bwkUl9ypYusT0Pd2LGj7PnF83t6zR2+GD797qBXntu5O0/YcMz2cztj555Ed9r5z4xw7d7xs ZU4lgH2Al3EWmCtP2bo7vdIlcli86Mah5H2brVznDnSstrQRAAAoorqxb+/JEpvej06IdBDwlfX1 8JYCFl47fi5f4zl4Spx1VSnlJMHsM0IIIYT+Ftasqb+Anz59egvFDLOUauq0hGerNJJ53xweEeEJ APtT80qV7NT+PlJRwxW1wCl66lMBty6dObH2l0tx0x/pIy2+WVxetXvlLQDgdJyLmgO2Niv5yKVC vYCpq9BIDSs7UhLPXkE2DIC65JbSIcpPQQMAwwABoKSugS5iAGLjIudu6oz+JGPs/F31p0pV3ZXZ otB+3pcvFdR6lhcL/fpaUQWWD8SsKuO/BCixk7edAIDIHaRsk4YAgABFQdOLQG1xVo1dXy8pBSD1 CHGqPVGgDjWvhJJ793I7vXvz/uj+0T29bUBtaa+GCs36yignQEmdvW0ZAFB4egov5Sq1tmWnzbrR 7BD05nViAhoh9A/QmH3uG+rM63XHz2d+9vVqntUPHBDdxhr6RXZ/kWc//+GPExcy3/rgS57VHz+b oZCQ919/esigAR2LSkMI3XBTQafNS01ezR4/S0IzAprWNCSINYSARktxLAAIWU7KgIhmdDwPAMP3 bAQAWqcXUIxxeVqro1l97YV0h4TY8tWbxDQjoGmW54XhIUBR2pu3RRStbVcC2t3b53Zmdm2d8Fzy SVdKlFqge2ZOTz9nncDXUy1OKlPfOp1yVXTd0dNP4eBsX1iQ35YEtDkCoDYkoFleq+cFQrqkTLPm YNmCsS7trerTl7u/8nla8pWKctrmZn7Nhz9m/Of5Hh0IycTx48erq6sBgBDi5ubW+COytlOr1Wlp aRzHyeXyfv0MUynh0Ucf7XxsTXE8AM0YX7PwVVdO3gG6z6w5E+KFvhc3Xdh/KqVoviGPLI16ZGTf 8OLL7ssyastUYNe9txvcSv3lq41Tn5gzzan2aLM7ApCqyydvA8Cuj57bBQAA9OUiHQQ0nWM6cuTI LVu2TJw4UafTiUSiLVu2jBw5slPH5zLi6elhckqfv+fn9VdbKkhk/n292C1nbxUGnCmx7T3TKedg pxo2rponABTVZOo6bd1n/odv+29YtfHkuk/Tbz790TP97My3tC8HTcmCRs+Z5nbkwLErh9fdyhsz d6xnYU4NUF5xCZHB9ZN/OQAAEAaNfXSMvxiAq2xSA23tH+jt7hxin3KyNLuShLk6yBgAoa2Lm7Oi 08lNwhMAmqYBTKsy/Yi5t2PBE1nwwMgzy88cPVvct75pos6/WQ4A6TvWpAMAAFVQzdFO9p08XsNA G+9J1PmZ5UB5x8b1DqIdcy/kXM28oxwgt7Ax3pCA1mYf3FOltoudOsjHOJ9M6iwF7OPmYwNleccO no/qHxdj3bGJ8wghhBBCD5u2/PVkuOgqrqp7+dcTSk5mBbUajl5+KBMAbKTMozFeMwd1A+PfHVMi h4Do0T5eB5fuSCsPjyEg9BwyfVq3hpUfiDJt4/780JmPRdjqrq/9JbV+J0YouHtN1uQCkWJEhpfM LxtFTkH2tbfyblUTvxGeHiUnLubmqvTu8TYMNJOAbr4qQwxMM5emAoWrTJlbro2yNf6lHwUApn/E m1dC2/acMM83L/30kVXL3SfOjLW0Vz3TvmqK57j6heR4HkjN1Z0Wu9H0EMzqJErLx4gQQn8bhuxz eZUyqofzwldnAcBbi746kXL9oyW/cLx+SEJcG+vp3zfsVU7/2f9WHDsxgfoYAAAgAElEQVR7g9dr rDqXfQbDGs06LQDoec781WJltbtEKmQETdZ01mlpngMAmtXThKdpHjgWAA4PTBJRtLVQKNTrtcbl 9TqGZUt/Xu7z5YcMQO3eQ5Raq4jp4zR/Zs6S74RaLWNUf6OWEtASqdQvqLuHp+3r/y6SSmv79HX9 c+PxQCsPuFLZPZTJzgmU2Q8dOmacUNSpdYYJIRpdffa5ulpfWVo3b7TzgFBFB6piaOrLN8Jf+uRC 8uWyCkqx52RhiL982mifzoR35cqV27dvGx67ubkNGzbMfN2MlhFCTpw4odVqpVJpQkJCe+9h2HYi 5x6ukJJ37qZysoddQ4xGGbTGRdOI4WpIaiOhARonict6Pv/b7xGbV61Yteqjk6cLvxzX7I4NK9zS vV79+a0oOQAALbG3dAljyEG/+uqrS5Ys6Wz2GQDkXt179rSltJJzrS2nQNt0j3TV7N6/N69AHj7L TZTT2aYbMI7+DnC55Gq2KtHZ2ujCi7EOHj5/YYT/p2+uPH/wWm1MfxvzLe3NgtIyz8jRswLd1/6y /+aFHLUHRQEAZVaLUC6xeEbyHCEAPMdBM5e/HceWX8uoBmF4oL1AIAhwgvSSK9mqES7WFOjLrmdr QBjkZysAYA2HcU/HglACp6iEwIt/XjyeadXwAUYAgPIcMWuUjwgAgBLKhQ2tdxRj7WYNd6qyizVR to3r4oHld1Oz7xS2qk5EQWX6hfyoEU1T0BYCFnoMnj3X80Jy8ukzOzJvVc+d2a+5mysihBBCCP2F tLoER332uVL14k/HqjkrG0b51dMJ1nJxZn4ly/Eh3o4SEQNG2We2tkottlEIKaKuVnJiTxEjdg20 rUi9WRUUbkvzGqVWKGfVWlpuI6VJbU5Gqd60RbGTr1X55Tu1Ad2tgNXxrVxzSVwDpKeuXqO9R9hI bIJsS1OuEKcYByE0VksxQkqv1hMQd+qim7YPjbBLOXgkw2FYd1sB8Do1J5SKXYJsqzLy1IGBEm3+ tVKZX4IU8s335TQakCg8IwYNKlp2sKAuIbDZvcz6SiE1On6iLsos1vp5MRVZ2azzIJkus4VubGRe 5wO9Xz1CCHWFPcculVbURIW4fPDaE4blmz/994uvvPXRsbNXN27e0fYENADE9+vNP6/76P9+ZpnO Zp8BQEN4wwxoiuPOx40q0KlVbH0mWsowbmIpTTE0w2sI31ie0elpjgWAyINbjauSsJyMBiuKFxNW a1xeqxPzPJuTnzXvReenn/D97v8okVB9JSPrtff1N27JGYGYh8byjVr/ZbpI6hqXOCM4NERVUxQ1 sFvckESh2BoAuvcBrUbTyewzAOhY/mZmdVWN3i/IRioTlHHQv4dCKu7gDX8Zmvrf231e+Ojs6fSK SrBasvRKoJe8b0/HjtWWn5+fnJwMABRFubm5jRgxor3ZZwBIT0+vqakRCoUJCQlCofDAgQOZmZnN FSaEPPPMMx2LVuidODls1VdnFr/5efbIEKu6wmxl98fnhA0MhGupy5duqZIdOVELzqMiXYVQbL43 X3Fh66Fyz17jHy+7/MHWohwS0sKOtG3oAD/ISN20I9VtiIvmztWKsCnj7c0rBYCRI0feg9Rzuwkc wsIdNu49pZL1m+EpMln9pvpGyilaToHAoUdkN9t2ZfmErnHDA3euTv/1v0sL4/yk2rKiWr8RceXr 1+e5h/nbqS+XEJA52jFFe75e02RLe69GuYqUPw+WOvi5K7S3qwiIbazEcqmvLRTlnjx+Xu9GKuuc +/T1aLEKXdap0xf9KtOqgfbytRcAMGIGoPp2RobExTPQW9Gh7Gb1jbPH66ou7N1dAK6jJ4RaUQJp XGK3ncvTl361vDjGTXP9wK4SsBs8OsRo5YoWx6IDKFlgQl/7zJM5SgA7AKCkHkEOUJR3Pi3Pppu1 vrxQ5REZIe/k8TL2YZEeZw7e3rVxT0WYm0hfXaF2jYnzDHaCwrxTJy7Wia5nakHR09daIKXMNzKg BACQhj86Kyh1xaa0HYeC5o7yb/ispGQWApbV5Vy8VmvnGRETlr/9Yk15HQ+YgEYIIYTQ30BbluAo rlT967vDVURhQ1V99fQQFzs5APT0czK82vQuRkRbcHL93kw1xQBt5Reb1MuWoqH32EEVO9Z+f4wD Wh448rFE35AY7/Qdv/0st/EK8rctNWmOdogaE7tn58ofDnLEKnTStKgWD4Cy8vTSH0z3irFnQOAa IM7fQ0a4iOFuAlroEtFNv2PFshvR48d3a0/XmIZl22fSJO2+Ayu/2c1RFKPoNm7GKB/biKT+pTtW /nyIUCL3vmOiHRiNeQKaV2bs2JBcTgkokAUOHmAjsGp2L9rWtK/8pXcv3GmZou7MhqW7lRpxwNBJ fs5E3UI3GgVuWqdfc0URQujv4p3nJy1ds3v+jCSmIU/IMPSXn7675OsfX3ruqfbWNnBADM+xADB4 YDsy1xbpaJrT1gkZRkKIu4C2pSSsqP6/UYaiZAwt4fUcq9M3hK2jaV6nFgK5EZeo4XmeEIamOJ4Q INY0LQNKzrMUzzYpr60TMQzhOSgvK/7o8zyeAABFgZCi5DQj48G4fCNBW25GLBCKzp9OuZZ2Yfr8 BYZ7Axq2i8TituzeAisJE+YrjQtVnL2uulOps3MQK2xE+89VjY+z63CdNAVfvRP13KLks5crqznp MwtPbPt+mLtLu5ehqqmp2bVrF8/zNE27uromJiYaH3vbZWZmEkJiY2NlMhkhxNPTk2VbmpzZ8S4V eExY/D/919+u27/0q91AWfkOC54p9H5k0fuFi7/b+r8veEXAsJfenttdbHluKFeZ+sdnXxXpgbbt nvTinF7BTi3sKPCdunhh1Wc//fnpa1uBtg+f+dmUDgbdRLPHXr/dcBNNo8eE1L/U8KzxqcClT4jV 3hP67jHeYrheX0d9/eXH1/x6HACYni99E2zTvu/naafB/3qDXbN2d/KW1SeAkrn38xkpcbSt27Nv 3Uk9iJ16jn3ysWAJrzLZ0u53itDGSpty7vAVDoQ2frGjB3sKaCpm/PCa3ccvHdp5ibHrOb534x1F Gw/97lMAAH3umQO5QFkHDhkWJAMCTr2jfbOO3Tyys6TXND8vq3Z+ldLQdWuXgdgxoP/UJx8d5isi hNAOCc+/oV29eteJzWs5kDiHJj47a1I3SUNQrY1FewMghBDC2PUe2O3clutaw3PaPnLiWNXeo2m7 /7gIlMyj3yN9CCGCzh0vZRMxcSp38NDZqycOXgYQO/RwiaFte49Pqt51+OKBfUTsFDJsVJwLQ8DS RsOC/RRNSXwHjeiWte3Kzv2Bc0c51g8QZSlgTpV7fs/Bag4oqWvPoXFubfpsRgghhBB62DUuwWHx 4oaiqOJK1QtfH6jgbO0F1d88N9SQfW7+SoiSByfNDzbZKLALTZwZmnh3gzR07PzQJkXE4TOeCW94 InTqPXb23dtEuTW8RMlCH3+26X4AjHPCU68nGB5b9Xz8tZ6Gh4rGCqV+w+e+UH+DEgcLVTWWFIa3 2BBQMu/+E+b2b3po9j1HzepptMFSJaKIyU9FtHEvs74yRtv1GT/G6+7PTVvoRuNDMK/TuLcRQugv z/x/JQHDPDVzjMlLNE2//tKzFss3t7HRoIT+rZZpSwHPXj0Pll4Y5iwSMJQcLKzJz/LkQKnOq3e4 oSrPXj0PlV4Y6CSU0cDwd2unAEQ0JaEpCuBgcZPyhvpFQoomRMgTHQFCCEVRIgrEZuUbUbW1tS2H brDzjz+SptyTHKNlWQWahSvyfQKs1XVsTZn6l1f8zZcaaBeW5Z9ZeOzs5WqW5cYP9Vz8SluXAG90 6NChGzdu0DTt5uY2evToDi+doVQqVSqVq6trx3Y3t3HjxpkzZ96r2h4eK1eunDx5cldH8XfAVZ5Z /ttxfeSMeYNdO3e3QYQQQgghhO6lFSvWP/XUE41PKYpKychftOKsVER9+69hLvZW0JkZOagTiDJt 9aqcgfONE9AIIYTg55+Xz5o1tZOVrFix/sFUUpabu/TZBTdSUznWwhrQAMAImG4REXO++8HRy6ux /PXUVJblCBjdQYCiKAAKQGCpvKH++kl2DTUb8rgm5Ru1NT3Vb+DANpbsmAB3ibONoKigTq9hHa3v QdJMIKC/X5Tw4ofHalW6t5t+HdxGcXFxNTU1IpEoMTGxMws3KxQKhaIjS1oj1Bkcx+OVO0IIIYQQ epgRQvp29/hwdqy7k6K1uc8IIYQQaoWjl9cb23d2oDxp/CF7A4qiKLPZwe2tv1FbU70Ozs4dqL1d Hh/qeOhS9Zh+ziHelm/J215CAf39okEd3l0sFk+YMOGeRIIQQgghhBBCyBwhpHewK2DquatRClw3 AyGE/rksppvvoYfoB/qRwfLI4Hav1IwQMsHYxcx9Laaro0AIIYQQQqhNMPWMEEII/b2188ZcCCGE EEIIIYRQh1hZyYuKSro6CoQQQugvpqSkTC6XdXUUHSfAb5vRwwPPRoQQQgghhP7G+vWLOnToWG2t qqsDQQghhNpqxYr1XV6JXC7r1y/qr5s3e4iW4EAIIYQQQggh9Dfm5uYycWJSV0eBEEIIoQcKl+BA CCGEEEIIIYQQQgghdF8INm3a1NUxIFQPz0aEEEIIIYQQQgghhP5OKI7jujoGhBBCCCGEEEIIIYQQ Qn9DD2gJDo7jH0xD6P7BQUQIIYQQQgghhBBCCLXLA0pAa3W6B9MQun9wEBFCCCGEEEIIIYQQQu0i IIQ8gGa0Wq1UIn4ADaH7BwcRIYQQQgghhBBCCCHULoIH04xWp38wDaH7x2QQi4uL09PTNRpN52uW SCTh4eHOzs6drwohhBBCCCGEEEIIIfTweEAzoDVa7YNpCN0/JoOYlpYmEAjc3NxourMLuSiVyrS0 tKFDh3ayHoQQQgghhBBCCCGE0EPlAc2A1unZB9MQun9MBlGj0Xh6eioUCpFI1MmaFQrFtWvXOlkJ QgghhBBCCCGEEELoYfOgluDQah9MQ+j+MR9EhmHEYnHnE9AURXWyBoQQQgghhBBCCCGE0EOolSU4 6urqOI4DAIZhZDJZCxtbptHocAmOv7r7PYh4hiCEEEIIIYQQQggh9HDS6rmGh8Twj3kuTyKyMN25 lRnQGRkZhvmtdXV10dHRLWxsJT6dri3F0MPMfBApiqJpuvNrQHe+BoQQQgghhBBCCCGE0P2TllUk l4gIITwA4XmeGAAhYHhUrdIMiwo037GVGdB6vV4ikRBC9Hp9Y0mLG1um07Vt8qwub9//3v9s9alc LSMQOca9seK7pCuP9f9t3qnNSXZtaacT1Bfe7T92ld7JnmY5m/BpC798bZirsJ118OV/zhi2cuKe dVNcmKav6PMP7SzqPS7Srp2ZVrbk5LptGUQqBgJix+B+A6O8ZW2rgldeP7Q7pZjIXXvF+dzalxE0 KSmIvrNj/ZXQqWP8JO2LwsBkEFsYUH3m9xMnbopbvfPtcAkAQPX+J0atmrF7+XBoeGBjukv9CWuR +sK7/cf+XmtjK6IAJL3e3bZiuucDWjvGHJu7LGn49qeOb3zEiQb1hXdjx+6fvPf4e2FiYPOWJQ3b 8fTxPyY5tTuf3vyZc8/p8za/8/R7ay4Joud+8dMHI5wttafPWffc9MXniVvUv377bmonO7vxnSXg Wcop6rHXP3xppKfYUsnKnZM6+2Z/4EcHlj61Zvi2dVUas0N+gGcCQgghhBBCCCGEUDsQQsID3Uwy eMZP9565bjG/10ryRafTcRzH87xer295Y8u0ujaU5CuOvj3h+asTf9j54xBPMVeVk0vcRXCljU3c AyLvOcsPfxDOFO96JfGl92NO/jLELE/aMtp++JdbYmzMs17qays+/tnut6R2J6ABgFH0GD451pGu u3N089GTbo8O97KYvDNBNAUZBfIBjyb5SgBY73HuIhkFmnY3bsx8EOkGJgVvbt5R46M/uCH9xYgY KwCgKQooiqZpaHhAm9bTStsi7yc3Hf4gvEOJ83tL4BI73PnLXZeVjwy20WUfSuZ9tMeO5OnDAgTK 9P15XiM7MsQtnDn3ntBz0qIPTh1+2eHj9yznZwH4iuTVJzw+Pbl+9D362qf+nSXRlyV//9S8ie/J 938eb3tf1v1+4Edn+VOr4x7gmYAQQgghhBBCCCHUDrzZ/FFCSHm5xsFB0vjU4o6tJMs4jtPr9RzH sSzb8saWtWUJDq5w1xd/2rz03RtDPcUUgMDW28/OOD+uy9v+7qQBMf1iogfP/eFiDQ+62yueTkwY EBvdq9eQF9Zn6wAqd04d8PyyJTPjwmOePljVxtjMCF36jwrUZWcrWQuNNm2CKzu06JH+0TF9I8L7 z1uTo6869OyoZw5VQZPtK8/v+/y93zPSfpo/ceqiFFUHo6Jlbn62nFKp50Fze+eGw1fP71m/cu3B XC0Ap8w6uWPD2nXr1q7ffjJLyQFRF6Ymp5drS87u2ZlcqNPkHtpyKLdJ9pmrvXVyx4a169au3bgv rUTXpmnsFpfgsKAuff1+ZsIrT9ifWJ1SDRRFUUABAAVGD8y0rzNMBtp03HW5296dNCCmX7+YuInv bsvRme9iOnDtaFvkOyRemrb3phrY4lNH+TFPj9DsP1nCgSbz0E3bQbGufGunZeXOKX0mvPHynOmP jhsUM+LlTXl6AGg4cyy/qsv54+UxQ0eNGdLTw8MjdMizm3KLOhy/aU+aNseVn/pu4U+Xq88tfnzq wmSlxc7sKKFj7LNfPK/Y9uW+Et7CmwsAdJlLnxwe379vr+hHPjpSxgFwRWvG9Jx5WAkAoL3ycXz/ f6dqLHRIvsWPovt/dM18almstoW2iO7W79Ojx/8vVUUazwSz/unESYsQQgghhBBCCCHUWSb5ZY7j V6zIWrBgd+OrfDMpxtaX4DDcb5Bl2caSDMNIpVKdTmdjY2PetkVqjbbVYuo7yXdsY/u5NQ2J1K8i wuZveuWT8nnbTo62r96zYMjLvwze+0rg5M+2TLeRMnUXFw5/7rer4xZ5E33uri3S7Xsv9ZBT7byp nWHZbEIIW311y6oMh/7vOTBs/h+mjc4xboJUbPvmD+ato8lj7bnaSlYmUKcRIITwVSeabLdjXx+0 eVHEL5sX+ArbF1ZjVLy2PPNqhcQtWkwRlvDK2zcF4ybOcBACcMprh5Mrg8ZN6a6gam/u23bwquPY MNfwmNA7+TmRo0Z4ikBzu34lloYlWfjam0dTNKFjp/pKtHcObjqa7jmxj12rUy5NBpEQYil9TKov rD4sHLY0bpST47I1JysGj3GkKQrAKBNtlnCmKKqlJTgIEF3OL4/0+UNEAeM9c9XmNz2bDnRlk6f6 3JUv/PvG5D+PPe5N5f8xZ+yzK3ptnudDWhy49gyKOCgxSvf+0Wy195XdpT1fTByn/PH7lMpHQ09d 4KM+8hUJJa2clpWELb9RM+rEyuF2qlMvDXp92bWk93o2nOcELLwaePmbL1KHrtj9UkDZ6glJR175 ZKLs8CMdjt/orCKEWGgu9pl/z91zYv9r634fpGAtdma71qYxag0ABC6R4bLfzudqJrHbzN9cRK+x nrFy/Xjn2uT3El/4eOjRL/sSAKPT11BTXZpJh0xyZxq74IEencVPLTZvnXm1HsUWNvoQQoDiK44s nP+7x8cbnw+XQWVzn3iD1gR0/KRFCCGEEEIIIYQQ6iTCNzwgpKpK9803N/LyyiUS7m5Shrec32tl CY7GBLRhtQ2KompqatLS0qqqqgz5x5ycnHHjxgkErSRDxKI2JHUITyi6uamwqqs7zmWnFTw6YglF 9EqOlZfrdYpTvy1eeqpcIGOzi5URag4AiKTHjEe6yzv2635dzrLHY7cJhXYhoxYtfz1cAkrzRps0 QVn3nTV4ycLH/5W5YP4To3tZgdpQkdn22g7FY8Apr+5Zn0XREnu/2MRIJwEAC8DYhwTZG/qUrbhT JQ/wsmIAwMorUJGcUaYPs25xFQB9+e3imjLVrs3nAXgdzws1PECrCWjzQbSQgOYrk1cmy4Y/E2Dl Lp/g+u2qQ8WjprpTDaXv7mZaTytti7yf3HhoYeMSHJWmA238tO7anpvu4wZ7iADAfcgkr4Wr02rn +rQ8cO0iD0sKLf/+zK3QYznBk3s4hSZ1v7PpYi57tCzkyW4y0BWeaPW0lAYO721LA4hdAuzUN2pN Zu+avUrRYppVazjg9XU6QtFU5+I3YR6M0aeC5c6068TyGYTjeFpAUxbe0QAgDRrZz4kByiY8KYp7 70yBrq/CQh1mHdJ1R2fpU8titXbNnJY0Xbbh2eduDV93YJiD8XvQrH8qZI/du0FHCCGEEEIIIYQQ aifjJTgWL76q1epra1U6Xf1yD4QQvpn8cCuJY5ZlDetsGG5ARwhZvny5TqcbM2aMs7Pz6tWrr127 VlNTM3v27JbrEQmFrU7XE3n2cavaml7G9vIwz4USwhNxyAsrd833qc8f8WXbpr+4s9+GP78OFWR9 M/qxTEMDtFAmpDoyNZAQEHnP/v3gwp6Sxi1mjQJU7TJugnEb/9WBhMu7f/1ywaAVczatmVK/p+n2 acR4Emj7omIUIcMm9XMQNAYFAEAxgoYp3oRQhPC84QlvNPmTmLTY+IgQQhj7iBHjQ63puy+2GpnJ IDY+Nk4fc6WHVyYrCy7Mjt8EwKrqVKt35z8y35aqX3YDGh6YpfhanAFNoGEW7N2NJgNt9JRAQ4cQ IHxDL1DQ0sA9GdiedXsVvcf4523buaPIc1QvBWXdO8l78ZbdJN9nZLiCL93xcuunJcWImcbBMT5y Qiy9Ku754gd9kqaPvdDTyXbw54tirQhj1Zn47zZrsTnjk8dyZ7brLG46fLqcU5e0fq96CkmppTdX QwBAeN6wLyGk/gMOeJ1ax9NgqUOanJgP8OgsfmpZrraZ05KvqxD2Hwhbfz7y5H8T76agLX34AHRi 0BFCCCGEEEIIIYQ6pTFpQgh5++2QTz89W1urJERtlnYx1coa0IYZ0IblnimKunXrVk1NzejRo6VS 6dq1a1mWjY2Nzc/PV6laWdlYIm49VSLwSHo65tZnby69WMkCAOhrKuv4xldlPUZ3L1i/8bKSABBt WV61TlNRxdt4O0sobfbhfbe1rdbfAWaNmiy7SnTVVRrGLmzcq5++7Hdt/3UVaWY7JZIJNBVGh3MP CR38HOpu5So5AF6Vn6W09nFobbq5wN7PvvZGZrkOAIBT1+raFJj5IJqt5MwW7F19o+cHh86lpKSk pJw/9uWAoj+23tY3LsFh9KBTa0C3SN5jTGjxn4fydABs4ZEtOb4jw6xM6m9u4NqIcYhJdL6y7oh4 aLQDA7Rd9Ejbk6tOWw3p68Dw9+W01GbtSfH7aN36NWt+fnO4m7Cz8bdDGzqz7Yg6Z++nL/7CPfrq YAfa8ptLfWPHiWIWSM2lHeeZiBh3ES21t+FyrxbpgKhu7DtSv9azaYd02dFZ/NSyWG2zbUkCJz3/ 2dfjrrz71o4i7m7N5p94D2zQEUIIIYQQQgghhMzxDYlmALC1FS1eHDdwoHNFRVnjxmZnQLdcr8kS HGq1mqZpsVi8ceNGoVCYmJhob2+fnJys1WqlUmkL9YhEbZirx7hO+Ga96j/vLej/RQ3NUIzbmO+3 fB7WEKjHlG+X3Hr5ubhetTQt8pjw3fr3k14at+bN4XFfuXYbNjTWqbD1BtrNvNEPgo1f50r2vTHj i8u8mNILg5/5PN6GOmF5u4yaPkkxb9qgE4kfr/psSGcWMDBHyQMHxlUc3bcxnQdK4hE9qLsNDdBi coq2ChqUUH3s8IZVeoqirQIHj45xbeWrCLA0iKbpY132tvUl8W8leQgpCgAYpyHPJH7+xoZr06Pr S9/dzbSeVtrW5fw6OfIPIQUgjXh3y++jWirLuE/678cZL80a+IMeaKf4d76Z6WeaoTQfuFbaNyF0 TxgoX/xnfLy7EAAEznHDbN9bGhPvJQKB2/04LWmFtyz5+b7d35KIrLziFiz5LPFah+PX521dtGhX 4W3h+59E/vh+31ZKt6Ez20CXs/Sx6M0Mz0t9E2b+tPnpvgoKwNKbS+w/OvbqO+O/u5avdHvk81+i 5ACk/6tPuyyYFLvO2b3HoIQQmcUO+WJufTb3gR+dxU+tAZaqbaEtyqr3S/97bMKs1zZELms4t80+ fNbMz+7USYsQQgghhBBCCCHUGcYTnAkhFAUvvTRw2rQI440Wd6Tq6upaqHfNmjW2traEkMrKyhkz Zuj1+q+++orjOBsbm/j4eLVanZqaqtVqX3jhBUOeujkX0zN69+zeoUNDDwuTQdy1a1doaKi9vb1Y LO5kzVqt9vjx46NHj+5kPX9PRHnyrQlLvP/7+4Jwa6jLXDlt8sHnj60cbt3VcXUZ7BCEEEIIIYQQ QgihB+5YWvaQPgGNT83zzn+euDamfzfzHVuZAZ2YmKjVagHAkGQUi8WTJk3avHlzbW3tsWPHamtr pVLp448/zvOtrOEgFnf4V/LoYfH/7N1nQFPX2wDwJ5OQEDaIXJZSJSoqClK3VVTEvREVtW6tonXh BN5WqVoXWveqiAoiDhALDtziHgUVFRRkOEFWBln3/QBKxg0kVO34P78vvdyenPGcc67k5HCi3Ymf 6wCNz3sEx3+NsiTrcbl97wamDACSJiuVGNua1jJv/9swIAghhBBCCCGEEEJfHakkbz7KrfqCq4/b oZVk5ZdeQQ3fqlXLlxBaWlpWl0GSCoWiYcOGs2bNevr0aWFhoZ2dXePGjQGg1gVofb6EEP3DaX8J 4WdcgDb8u+3+Z9Dr9104NHnZAD8enykVkU59fw33NP5fDhYGBCGEEEIIIYQQQuirayMgPh37q/6f apQrNAZvHCRJkslkNm3atIZMtbFYuEPxX4+yE3EH9JdHt2g3L+rsvL+7Gv8cGBCEEEIIIYQQQgih r83YqI4LvF9pXdhIny8hRP9sGp3I4XDKy8tNTU3p9Nq/wLBmRaID7owAACAASURBVEVFNX+JJUII IYQQQgghhBBC6N+oliM4Phc8guM/QKMT3d3d09LSsrKy/nrOxsbGzZs3xxGCEEIIIYQQQgghhNB/ DK28vPwrFCMSS7jGnK9QEPpysBMRQgghhBBCCCGEEEIG+auHJ+gJj+D4D8BORAghhBBCCCGEEEII GeQrHcFBp9PwgIV/O+xEhBBCCCGEEEIIIYSQQZhxcXF/dx0QQgghhBBCCCGEEEII/QfR8vPz/+46 IIQQQgghhBBCCCGEEPoP+kpnQCOEEEIIIYQQQgghhBD6X4ML0AghhBBCCCGEEEIIIYS+CFyARggh hBBCCCGEEEIIIfRF4AI0QgghhBBCCCGEEEIIoS8CF6ARQgghhBBCCCGEEEIIfRGfaQFa/vbq9rlD OzZ1IgiCINy8+0xckZgnByg7G1B56yPB9GvC8osTXAltPjty5CpZKvIjfQmC8P45vUKjrLykzavC 1x7KEFH9qC+yMHGUm3fYA4nKteh9SsjQTu6OBEEQhG9kvqIyqbLwYnhgDy+BM0EQhKv34EVHMsUk AAivTnPTaEPXLS/kmgWJn8UuHODpQhBEA6+Bi45kSUjtytSeRkldN/VsytL2zurTuiFBEATh6tl3 TlSGkKwpf0Pvq8SqrG5h162O/WgArRGlOgZqTVwnlePfdcLFch0J9Gn1l48MfK72fsZyaw1dpRrm BVmWtntqNwFBEISToOOk6NxPU7POjTX4hXq2wiC68jSoLD0Tf96xp7tH9Pd3DdSvrO7N/JrD48sj xbk3k45E7d29Z8/vBxOuPS9VVt6Xf3h8Ie5A1IGoA0cvZBQraripRl78LDUxZn/k/v2RUTGJqZnF VSNQ9up8VPTNQgUAgPTd/ZNR0Rcyy5Sq9RBlX0mIidy1c2fUlbfVw7b2EhFCCCGEEEIIAQAAk/Ju asbre1lvFEq1ZVAGndba1batoL5masWbkzN7TIkvBI6bb+BoAb/8ZdqVM4eTcmf3cahKYdpupH8L Ph2AbtaKYLPJvj9MdS4nZbmJe07lAc/Lf6SnOZ3t0MpMr+VwaX7Slo2xxV5Nxo0QcGmaP+qJLLl9 +I5J97mNOSrXRooUmYVHn0Gc6LhHKksjyrInV58YtRsT3MIkJ35T1I3IWZPqtzwd1Ijt1H/27AZl JADIX6fsjEmT8t0Elgz1cspu/J//7P1vbHsELRE82r4pcpY/w/ni8jY8A9MAqRBT1U2VPO/IvKVH 0pnuk9bObJy+fsHemOB5Xj4nRtqJqPPn6ihX132eatwY+XvrEPYaGNqPpFyqYLCZBhRN57v7T5/Y wayDTWUfqY6BujG8Dpr0aXXdRvi/hGanGEr3vFAUHA8OSXjC7xK8eVT9d2nPedWh+6uF/u+oYewZ Pvhr6BH031fHpyXLUtBlcE8bLojzrp84e9GqXl83Hln057nbkhaDRjXmCZ8mHz+XZjfIwxyobqr+ SkGKMlMSrpOevUf0tmKBrPDRuVMJ52lDurtWj2yy4tXtP87m2HTp386Jq/brCNPc1au7uzIj6WL1 b0XK2kpECCGEEEIIfSaKfF5vb7N0ojz5cqm70d9dm8/E0EYZHAQ5c9cA29AC4bHLJZ4l1a9t8v4z BbOCkbjGfPUBo8wSYPDl3RcXbR8jZ4nYyzpZ77EpvZRQ7spSS079bulu1pulY7v/MqX3ikm9wsZ2 XTKyffBQz6l+grtZb7UTS9K3hsUXAt0j7HTSnpWLFywJ/y364oNzS5sbf0ri1H/2spCQkJCQpbP6 ObPYLoPmLAsJCQkObG4MAITvzKUhISELx7eheu8mzY1f0q85QRAC38VJb+SSB6GdBscWA8DtGS0c CKJxWw/VH4eeyoj0JQjCPXDxtO4CgiCa9l6UkCcDAHnOTh+CIL5d8bACAKDsbuwt464DBcaq14x6 fX7ZuSlsTCsztSowHcbEXTu5afH0SUHL10x1AYC8tFcVACxHv2nzFyxYsGDBTD+Td1IA53FBHczU 31+X39kd9wag+ZwV86bPW/FjM4BXsbvulhucBnTUTbVddCMLSzYA17lVu/btPBy4AMZW5myazvwN vV8dt14VK9V6YWhymfTlqeWjO1VubmzRY/Kma+8VAACiWyG9WzWu3J/6jffgxUezK0D5IXV9YEcB UbkR0nvI6j8lmt06NLlMmvtHeGCXJgRBEM4efkG775cqq3YFthi7ZIqPm4PLoNjnaXsmd3IlCOc2 AaFhPYmqLXuyp+s7EgTReWOmDKA4cTBBEM1m3xCBsiw9Zsuu7ZFX3ylU2jLwm8Lo0Y0IQjD+2GtZ yZVgT4Jw8I14JKYcfp92Jn6qw5G3SvUOAbI8bdfkjg0JwrlNwJorhZ92xWmHokSr1W9qTeMzZ7gb QTT54WIpCSB7trELQRDdt2fm6Bj2QBFGyk6hnm51yMFAap2iK3QApEKuRUHWMC8AaBxLKw6AWGjc rPuwSQuD+zkwqQqt6lD3wGUzezVVa7js1bk1E3xaOBMEQTTq8EP8G/UNjrqGme5WUEVSG2VsdeVp UFmGhldrVlY9XT8O/r7hC9tTRkBHS3X2CFl8ZmJjghBMu1AGAPLsHd0Jgujwa0ZxLcNMZxfoqIDO UQTUj69PY0OfaaV7IFEklr/c1Z0giJbjQ6Z2a0QQ33SddTD1xLK+7gRBuPf/+eKnvpG+PLagd7Na Z/QXHh7qKOdFjQGsflrm5ugzBVTQjO2+cbHh0gHoxrZO1gxxmZQEZenL52K7Zg1MaEAzadCsnigz p4ykvKmalbL48d0Ci7admlixaAA0llXTzt+a5995/OFjFRSinGsJZ/IJn77tNVafAWhs8/r1rfhs 1dvUJcpyTu6LS01NPhpzIDIq4Vbe+6xrJ48citx3MOnPIjkAkLK395NjD0XHxMREH05KL64lAAgh hBBCCCEAADpf5j9dOGWM9ItsIyNBWoe/z/3LDG2UoelLr/LX3QfBFGFrk7+UDzUlPSXYZvIWo6Lm wrA1xWGTK2xJIAGAK504TQZp/FUX6BpnO1AvQCuVJIfNkkkrJKJyjjFXIioXi8uVUrHGnmgAAFAU Prj+CgDcA/q4sIGUlRUVFhYWCelG9Op3VumLvKtO4uh35J1hb7jeJR577zV6RDNmWfq+0J0ZSudh YbM82QDgNHpFRMSm9ctXqvy45ceWlaveH25kNgr6bcPEpuUPImfMPJyvOZTK7sVeZ3Ye0pSrcU2N yeEwAQBI0ZM/krIB+F0Hq6ZWvk/ZcPA1MNsGjXHT+OxAXvT0uQiAY+9oxgCmmVN9NkB51pMiuYFp 9EK37bth83DH0sTp7Zt3nHVW6Dxqy6++VnRd+UsMvC+vjpVHE7Ve2PKjW+aagElbz+c1HBP6S3Bf k0eJKwOmHMqTA9D5bn5Bq/ceijmwfVEH4Y19s+fG579KWr4m5YXNhIj9UbvXBw/zsGQCy1kjQ0HW uoCJm8/T+6/au3/rrMZZcSEj5p0pqhw6hWdPibrOCVs2TLFj0rLE53LB8DkTmmXGPdQMB51W42a7 j/1u6jBs/caBlmXJ86cs+GFa1GtOh/Ad05tWfXqiMfw+rX99rMPoJpp7kiVp6yaGJr5QCPznTnTP UqmVdij+MBqs3uqW3FrT/BS0cBQBpYlbzr5TSrOORWcCs92UAc6VK3law74inSqMoN0pr5U62qt/ Dn/97891hk76eHVHZy0DtBf/VTN7cebUMwmA/HbY8HknX8tB8mjztJHfr7hWov0MA4APl+9YjP4p +Dv+p4Y/Wj9izPqkDJNec1au/WVmT0cmxcMPKIaZrlZQR1K7BRRT5rVQR54GlVXwwMDwFjtqzMqq p+unwd+US6OKgI6W6u4RMG83oZ8llJ2NTP1AyrLjDzwGcP9++Dcc3QO1xi6groBE5yiSpOl4fFWN Df2mlVLHQKJMXDmW3ien0LoHdrMQPz0yf+j8B80CR7dkf7izbdmB57LKot8lp0DPWbP86pfUVLSu nv08w0Md5byoJYDVT+xtI7XK1VGOFmXJs/sFXNeGpnRQiD9I2Oa8yl+VGDxzdsUHsYLypmoG8uJX Qi5hzfk0Vmgca3tj4auSylgryx4lny9w9u3jZc/Rb5e2zhLlpR/M2w7wHzmsPeth0rlXDt0GB4we 0Ez04GZeBYCs4E66vPVAf39//xFDuzU2xR3TCCGEEEII6UFZxorZwtseyX6nACBpabssOza0J5zr BYSa9iTsCVfLi+Uge8rvSNgTnfmZMoBi48GEPdHM/IYIAGi5f5gGdrEjCHvC2c4viHe/FBT5PF/C nmhhuWSKrZuDfQNne4Kw++EinQSQPeN3IeyJ7iZaR+waRv6S152wJ1pahky1bUTYf9PV4mCq8bK+ dgRh797f9GKhWqOq6uNuuWymTVPCnhDYLE5iaJSvml75gb0+0FZA2BOEvZOg3pDVLM3DZUn6lV2c EpCN8JMzdeeju1yKoKm1rsB4TSwdbIW7d5eMGyr6fk7JyrFyNgAAED1FzYCWvMNIY/2X+ggOAJCI ymWyCpm0AgAkYqFMWiGT6bHLsTzl++bjUwEArEfHX1/VuPIuv63/MHc+HYDd0NBDBPgD1/8W2lGZ fDd2/JW3z94pzLv6dGnIjbgjtW3bb8ggKxqIrE8uq/5RkZ8FAGDZb97U/t7cLrK4vRMv30lIE44i nCeezvmepNGZDIDytLir0PE3dxNQv66J8sP19d+PXvfIyHPegTW+1tVvG+XZsevPisFy2Jw+9Wv7 9ICkXMMyPE01ZnW75AWxc4MO53LbzVk3vdHjTT9GHAha2PHSzt565q/H/Y+xMjXnq/WC7MnaBdkA tgErQie34hTbpCZOvHQ97nbxKHsjqTTr+Oatf74skVZmk3XnNdPPxRTuPz8cEfHCXeDe1m9EAyOG sbtahvInaxe8AICnUcHfR1UVnno6U9ISAIDXZ+3mpd1M5c83d18CYDX8lxWzvDlvLa+3+vGear1p 9BpHmmq/2/iGbxt7a/i+w+fBtM+2TaOcWVC1dKEx/KTQpPJ+VR20s5UXXE7JA7AcGr486FujV7wr XsF/AgCAUqYVivuixiFqg1lZ9metaUDuNKP1jkVXth572vB9XA7wek/pUY8uBADtYf/B62GCdhif lo/V6pSCivaU7ZWxkvXNQTrMrvpvHupCZ+iA5Txq29HOIvVHF8OskaXOxRvZsx2T5h7PdR4TPjDj /yKOThluuW8FOyr+omTsfDblsLAYFLpw9LcKu6NrL1ysbHhSfCaATeCmDXM9P7WLYpFdc5jpaoUs myqSmRJfb/VPvijGyZ2c7LeUeRpU1qlLjR4YFl5rS2v1h23V0/Xj4Jc9Xb+DIgLULX2c9mSZ7h4x bj1uOBG97fy+q68cHkdnArPdpH4OdNlDnQO1pi7QEWrFzzpGkTxnf2I21eOrX2Ua/aZV1dNJeyBR VSZL3AQAgD9g5a+LW6e/iU45UuIy5def59Y7cyNq8o23T99XLUCbDQoPn92OW1T/ZvLUVF1F6+rZ zzI8yLL7kVvicyoAaLymo2YOkFHMC+mT0zUGsGrAyJ6s/W6JVigAfLV6VItSnHM1+T6zTV8PSwaA WhdS/rNl0L+hlWicek7cwszHuU1tG9bhcBjVEhnWggZmDACOlZ2JMcfVnksHMKlnzcwqrSDBxNzB vOjmuUtFLgTh5FSf4t8QhBBCCCGEUI0kafyJoZw8pixgrtjqlslvGv+bTmptUeIHTDTJbixctVdi mm4yb63ZCIni8jIAACjknBKVzwlTso2ZW4K5iVuMQjtJio4ZZwK0myJ20rliaoj3nBRaeWA37vYU 4/lDOZ6jhaOVvKg7JssOiE4P0Ur8weiORelPwZylq4z2hfJGdtV5RMbbJNM1KcyGEz5s6Up+yGY9 0l6tEDOTbtPAVuppq0cltcpt9IwiaNe2ST4tw1Rks7MAoNRolof9SzGwnCXzNxZP81LSAZi20rZ2 8PC+cYZIbKuy1qoznGKx0NLarvLasYEAAB7cTKFKyLBq2bY+pL1Kjz6V4z/RySvk4IaDC2bvz1NN 4zxgbtgYok57u03tzFkAUhabDkBW7UHUeHdI8WZRViFTApCyCqny4y5vUqlUKJQ0YDDo4odxl+Tt 1nnwAUCkcq1bRc6x4BEzYl/a9lkdEzGysbFKkeV3tm9/DNBo4g/e/I+3SblUqiDpLCOWZaMGXMgQ FeSWKIDzIfuVDIDn2tiSaWga3dukqtslzoi/IgZ6x0mT+nXjdxDujbh583JChrh/K+r8OTrK1XWf qRErPd6jy18e/HFpbAa/W9jhJV1oSVOG/vpUIVfyO689fbjTsXP3njy9fWxjfNTBRyeur/KiytBq 8ObI6ZW7ykmSbu7IOQsAYO5oqzIDaXSG5gsrF6QUMgUJCmGhkLJq6m0hJYXvyyrvv3ldpoB6H8cq 1fDTroM2JodNB6AzjT+eeEMZCgWp1mp90gAwHfr/2Dc8MGHz0p+UeWAzelJ7cxpUNpJi2GuHkQdx 4ylLqaG9+uWgOlx1XddOK3QAspwDUwdvfKmRsNWGe/HDbKmzlGRfywSw6jB4+Dy3puTQwRt3jR0B AG7zxjQzplxH5lryGAAKOoOm3tGk7s+DahxmFK0AAK0h7aJ5/jj1lCFrzFO/snjK02OpE9cQXhOq af5p8NcYAY2WWmXPqaFHwEgwckzjbb9c2bZj6+sc4PlN6W5LvtxBPR2qGVIBF0bOJupmHmmh3UZV ek2rj08nHQNJK/EpAADT+uYsoLE4LAAwd7BgAq0y3tWvq/pWWI1BqG/PAtRwX79MlGVphzZuTwMA YHXrMHkAUVUvQz4nVX9aaoSi9pcrxTlXT14VNvPr3sSMAQDAMDY3kr4XKsCSDqAUFks5tsYMBklx Uy0OZvV5ovz3Eg+Lqg/BScn7AjHX3owFoACgsWxb+7XJPp2UcJHWr0sDPdagKasBAECjMSpLptHp DEbViKHTaUACAN2seR9/lzf5eQW5t07cNPtucBdHPXdcI4QQQgghhAAAaAWXOXkA1v4lPwdJjV4r r3ia31f7/xpvY2nZyZwXAPCUF/z9x69aS+VkSmQAADzJ2s2l3UwB5AxGDHfRFZNjTxXv45jAk0zp oRDd522JZ1QA0HiyUTPFDdl1qi9fvPLX0tbp9OgUbolL+a8/l9U7w46azH77lCHTTmwhDl0o/Fah OLrW6OJb5jspgI6lJ669whTg+WF+xAuZwF3qN0KukZAUM3JKAeorLFjUOdRYLo1FHTTJpy10pJwm BwAJvcX/FS2VcRcs54RP4re9VuJpDMBUOloAvGbklQPoswAtEZfnZD2USytcm7ROu31BJpNKxELK Izs47tNC+8dNjb8X2rNX6jAfN9MPT4o1kryM3/BzNp8OAEYNh84cXcNpF3pgcC24AMVZ8VHRZNOW Ph3VfvxOAAAAZSeWLGk0kvhz+w0SmJ79mvNA/nJPr/ZhGQ7TT1+aU3H8vMR7ZWs+AIgzqq8BKnLO xF3IfvaoDADeXj0SSXNs1qu/t2VR4gy/GadKgO/V3SX/+KZfwcil/6ThAi4AKN6e3nD4HRh9Nzug +nRt8f2Q9n33vW35652EAK8Jg23/iEpbt3RNudvDbY8A6g0Z39rE4DQj7eSUdbOB6nbNt2/hACkv bv0WES1zzdh6DwAcmtsbgYmO/HkG3hffVYmVei906NHXZd1v2YcWhzoOs/tz5yU5MNsO8TIHSYUc AFim1mbkiyPxTyvDI7y7desVs9aePd09bN9cz0gtfVUiB2CrZdixR78G6za9SNx11HtaB7Pip6nx CcVTY5eqjgMm0bmHU/izlzFLwhwHm9/Y/Gn7M9OiQX0mPM86HnmYsLuwPp1qEKn1uyz7wIzZiaVW frO6P4qICZu8wfvkfPc6jk6mfScfR3iWe3Tdnk7jbS5vulN1n5RThUI9jE2cJbWmaenj09S8w8xx zgmbUm8AOAeN8+B9WlHVHPYWLg7aYZywuglVKdRYLr5656A6XM3+pL62q+FTKF2hA2A1GLs3sadY fcmLznexpOuasxaNfJrTLt+PXRbeeoFvi77tuA+vigC+6d3DWZ9HLwCwXHr1a7h24/OoGUFWU76z KcksaDQluI/qB4c6hpmuVlBGcmrcVnv1cinHia48DSvrwDQfx5UGhldB9XStJQLUpccE19wjLJdB E1qvDL678yiAVcDE9uY08j3llKlrBeK2tNPRTI6xL+XjiwZvAEDPaaXxdKoOLmVlDi+iTKyl5PiS Ja4B9mk7UpXA9NZVtI6e/SzDg2EfmJQfWF2jCqp54VxzAGss97TmFFCnFOdcTbgibObXvZnlx99W 6KYuDTnp6c/LCDee8Hn6G25DLz6NDhQ3VXOimwta1X94/fJjy25NrFggK3x8+caH+m27mdM/PkBp RvU8e/eCU0kJF0GPNWjKalB9uqVGIS4WMc3sGjSxczAtjU19JyZxARohhBBCCKE6oNgTU7n0rKAp SFAI6VpblD5ETq9apSXpSkcOBwDAXF61XYap6P+jODzQePNSU2Ue2Iwub28OJWncjdtZAAAsSYfJ 4oZskEtpChJYRiQdar+uKthUYc4CGgtYAGCusGB+XB+nPFKUq+QxABQkgwZAVrVRM8PKXDsXnz5c cewc+8lT9rGNxlEHWSeuF3up/Fk6jUka0QGkNJk+u4eoytUOmuoWOradzA442fyKcQGSdiR5dA0n 6S0rRwiexgAkTSIDANJYfclZ55ZEiUgoEQvFYiEASMRCiahcWiGmTsqo12/jmYOLh3hZ5yVFbo7Y cvy5jVe/6cH+1Z8OlKYe3Ll9+/bt27dvPJwhqsOfx6oyahwwvacD88Pp1fNmLonLpav/WPkJgnXP 75SJ6yKSXpu2CNy0cTih2mjJkxNnRV7DvMxo6tcAZNmdTfMXh+24JwWAtydXL10YdiRHBsqy509L AADKbh/cHBERERGxOupRZStkWQcjLknB1n92D+qtmDR+29CYdaNaQ8rG5ZsuMrxGb4gJ8TYxPI2u uqliu03fuTrA0/LRtrlT5u98Yttm9NptE11ZOvM38L56rNR74Z3b3EM7pnaxfx61fNmak2WCPsEH twc4MFkNRv00vY1V0fEZfiO3FzVxqmovTfIsYf38yWMCp627zffwD1/Wga+Z4Vu3OYd2zejm9HzP wsnjpy3dflnWrJ2jxqdNRu6zdv3UpwE9LWrVtrsOfo0BgM1l04Bm5RO6xMee8XTPopWXrX0aUHSL alvEj7ZMWXytov6YrWvnrdg5rwk8iZi0/FpJXb8bitP8x51hvV0kKSsmBP1e0qJh1W3qUKi3OoE5 rNY0cbkyACPBmBneDABoPmFEI5WoaA17I3ftMDZ0o6yJDn89h78cOgAax07g0UpDy28smDrnBdPl +z375/g2eLlnXqD/1K257v39v7OFzPUjgo68pPiQkarhTedE7w3q4VaeHLE0eOlvZ/IVGn/Fo2uY 6WoFVSQdtT7LpB4nuvI0qCyzOoRXe+zpEQHK0nm19Qijfq/JXdgAAA7+41rxdE6ZulbASHczOe6U j6+P2ek1rTSfTlBjZfT94Ny6R2dF4tqIPwpqLFpXz36e4aHRHKp5UUsAayy35gAoih5czSgRFdyK j/r9999/j4y78U4BQLdo2d3LKC3+QNSB+DSOV7fmFnQdN1XReY269W1r8vxM9P79+/dHn3nOb9uv WyOeWioau55nb99vii8lXHohVP1NRVZwIXrf/oT0MuHjhKh9h1LyZXqUSIGUFz48d/TQwUPRBw9f KXf9VmCGh0AjhBBCCCFkENK+k8QRoDDGbNlGk1XzTT9tf2ZayOszAbKMIw8bbwvjf9yiRLr4ShoA FCbyjt5mvHzGOhtpOnsDU6n1m7h5h/JxzlCYyv4A8oBxMh6AfeC7/PyC/PyC/OyibnwAMTvk2/oN G1pHv9bv+rPQkaHwrsnWKzR7T8mQ4eIWxgCl9BKNE6ONFZ6OAK9ZeZqHQ+uDOmgKlaCxXcWBLQDK jHb+bhy32+SqBMCtwt0MAAAkjLRXAPWlrupnTdDy8/O1i9qceH94azOaUlp5DLRcJgUAqZJ2Lof3 Q9+Wdaj7V6PIj+ztvSidmJp8eRn1USkV6cu7DE5bdO3QAGu66vXXrum/zT8wVsqi65GxL2waOfDE T06sDD38nN9nz7VtvrpPBv7oH9gW/SnLXty7ezN28Zz9b3y2pf7ez4auz7BHCBkIpxVCCCGEEEII /RPIc3m925o9dCg/fam0GZuWtstiajgnW67oME5SvIf3kCM5+KCoC4/2cKfFuOWcAlB0GlWRF8l9 YS46eqv4Wy4t9w/+4lXc88/oJJAWDWQ9JheH+xgN9DZLJ8qTL1efs1xw0LrtfLaiecm1k0Jn7QMj xOzF7a33vZX9eufdSLPar4dLeb3amT0mypMvl7qmm7ftz33vUXwvQWT0h3XTyWz+gMJbS5hDP9ah yXte70/1kRoFNrdKAcn+tKJuTJUMZdVBaPDQdGwQ9/YLuhSAZSsdvKA4PECufsYn7eEK255baAFH 36z5llTkV+evWpbOcvkUQVs1Rq66m0r+mrN2numu80wRkM6dhUtXl/V2JAFAdNus/QAeffz7qz9L Vb8qjHoBOvVxwb3n7xRKtb3KDDrNw8WqfTOHug2XrwOXDP6HKN7+MS9gblxGiQLAxOnb/tNDl41q afrvW1I2jOjG7DaDY4tNBP6r9q0a6MACwGGP0BeA0wohhBBCCCGE/nbyItalaNOpK4yErYtvHxfV Vz3as4wT0MzyEkty8EFRF82TBAyhpL24x74ZazZnP8Nn25vf+2nvkP6b1RQEXS/J4w7vYP7It+j6 don5Vzv5j6Sf/8F2dIL85yuF453Vv8WJcgEaIVS7suShgvGpKjccZ5y5uKgpLlVRw3BpwIAghBBC CCGEEEI1Kjph3Xw6m2lfMX9n0Q8epNpS6udagBaxZ7exyn8//QAAIABJREFUji0mBf7F+1aJHfT8 9qivqKYg6ETLPMKPfCofOVsk+EvfxWcIMfPQBl6Oq3D2cI0d2bgAjRBCCCGEEEIIIYQQQujLYNJo +A3sCCGEEEIIIYQQQgghhD4/XIBGCCGEEEIIIYQQQggh9EX8047VRgghhBBCCCGEEEIIIfQfwSwu Lv6764AQQgghhBBCCCGEEELoP4hpamr6d9cBIYQQQgghhBBCCCGE0H8QHsGBEEIIIYQQQgghhBBC 6IvABWiEEEIIIYQQQgghhBBCXwQuQCOEEEIIIYQQQgghhBD6InABGiGEEEIIIYQQQgghhNAXgQvQ CCGEEEIIIYQQQgghhL6Iz7QALX97dfvcoR2bOhEEQRBu3n0mrkjMkwOUnQ2ovPWRYPo1YfnFCa6E Np8dOXKVLBX5kb4EQXj/nF6hUVZe0uZV4WsPZYioftQXWZg4ys077IFE5Vr0PiVkaCd3R4IgCMI3 Ml9RmVRZeDE8sIeXwJkgCMLVe/CiI5liEgCEV6e5abSh65YXcs2CxM9iFw7wdCEIooHXwEVHsiSk dmVqT6Okrpt6NmVpe2f1ad2QIAiCcPXsOycqQ0jWlL+h91ViVVa3sOtWx340gNaIUh0DtSauk8rx 7zrhYrmOBPq0+stHBj5Xez/RbHhVqG+l75ns08q1ciIN/b+kV/Kv07pKn7mNutTa6YYiy9J2T+0m IAiCcBJ0nBSdq/mM0cMXaXsND6XPUWdKdWxIbcNMZ7Z69qY+z2ctpDj3ZtKRqL279+z5/WDCteel yqrKfnh8Ie5A1IGoA0cvZBQrarip3sbiZ6mJMfsj9++PjIpJTM0sroq57NX5qOibhQoAAOm7+yej oi9klilrq4ai6F7ioX2///773r2Rscl3Cyj+3UIIIYQQQgghhPTEpLybmvH6XtYbhVLtLSeDTmvt attWUF8zteLNyZk9psQXAsfNN3C0gF/+Mu3KmcNJubP7OFSlMG030r8Fnw5AN2tFsNlk3x+mOpeT stzEPafygOflP9LTnM52aGWm13K4ND9py8bYYq8m40YIuDTNH/VEltw+fMek+9zGHJVrI0WKzMKj zyBOdNwjlfUSZdmTq0+M2o0JbmGSE78p6kbkrEn1W54OasR26j97doMyEgDkr1N2xqRJ+W4CS4Z6 OWU3/s9/9v43tj2Clggebd8UOcuf4XxxeRuegWmAVIip6qZKnndk3tIj6Uz3SWtnNk5fv2BvTPA8 L58TI+1E1PlzdZSr6z5PNW6M/L11CHsNDO1HUi5VMNhMA4qm8939p0/sYNbBprKPVMdA3RheB036 tLpuI/wf5WOoGwpjCyw6T1jUhEzdtOXCjjkre3b+hf7vb91fHgY1UhQcDw5JeMLvErx5VP13ac95 /5go6X4o/dU66w6p5izWU22TqI7ZVle49uczFZaloMvgnjZcEOddP3H2olW9vm48sujPc7clLQaN aswTPk0+fi7NbpCHOVDdVP33khRlpiRcJz17j+htxQJZ4aNzpxLO04Z0d61uLVnx6vYfZ3NsuvRv 58Sl11YNuqmg6xAPLpsGitKM5GMX7zkOb1fH4CCEEEIIIYTQX6PI5/X2NksnypMvl7ob/d21+UwM bZTBQZAzdw2wDS0QHrtc4llS/dom7z9TMCsYiWvMVx8wyiwBBl/efXHR9jFyloi9rJP1HpvSSwnl riy15NRLvnez3iwd2/2XKb1XTOoVNrbrkpHtg4d6TvUT3M16q51Ykr41LL4Q6B5hp5P2rFy8YEn4 b9EXH5xb2tz4UxKn/rOXhYSEhIQsndXPmcV2GTRnWUhISHBgc2MAIHxnLg0JCVk4vo05RW2kufFL +jUnCELguzjpjVzyILTT4NhiALg9o4UDQTRu66H649BTGZG+BEG4By6e1l1AEETT3osS8mQAIM/Z 6UMQxLcrHlYAAJTdjb1l3HWgwFj1mlGvzy87N4WNaWWmVgWmw5i4ayc3LZ4+KWj5mqkuAJCX9qoC gOXoN23+ggULFiyY6WfyTgrgPC6og5n64kb5nd1xbwCaz1kxb/q8FT82A3gVu+tuucFpQEfdVNtF N7KwZANwnVu1a9/Ow4ELYGxlzqbpzN/Q+9Vx61WxUq0XhiaXSV+eWj66U+WOxxY9Jm+69l4BACC6 FdK7VePKfYHfeA9efDS7ApQfUtcHdhQQlbsjvYes/lOi2a1Dk8ukuX+EB3ZpQhAE4ezhF7T7fqmy apdii7FLpvi4ObgMin2etmdyJ1eCcG4TEBrWk6jaqCh7ur4jQRCdN2bKAIoTBxME0Wz2DREoy9Jj tuzaHnn1nUKlLQO/KYwe3YggBOOPvZaVXAn2JAgH34hHYsrh92mn5Kc6HHmrVO8QIMvTdk3u2JAg nNsErLlS+GmronYoSrRa/abWND5zhrsRRJMfLpaSALJnG7sQBNF9e2aOjmEPFGGk7BTq6WZQDroa rjLFrLzDE45ELJ4xaZxfQxqAsuxeyGdvHQCpkGtRaO7f1G6CpCh5IkXpL+R6DcUH1G3X/Vqt5lDM CwAAoHEsrTgAYqFxs+7DJi0M7udQ9bEhWXxmYmOCEEy7UAYA8uwd3QmC6PBrRrHu/gUA0DlBDI6n rodSDXX+NIO0mq81s3JzqB4p6rOYssKyV+fWTPBp4UwQBNGoww/xb4TajxfNCqtlq3sk1yEUNaAZ 233jYsOlA9CNbZ2sGeIyKQnK0pfPxXbNGpjQgGbSoFk9UWZOGUl5U63+xY/vFli07dTEikUDoLGs mnb+1jz/zuMPHx9PClHOtYQz+YRP3/Yaq8/U1QAa05jLrvzXjCSBweGyaQCynJP74lJTk4/GHIiM SriV9z7r2skjhyL3HUz6s0gOAKTs7f3k2EPRMTEx0YeT0os1H44IIYQQQgghVBd0vsx/unDKGOkX 2RZDgvRz/dGuIQxtlKHpS6/y190HwRRha5O/lA81JT0l2GbyFqOi5sKwNcVhkytsSSABgCudOE0G afxVF+ga6zDUC9BKJclhs2TSComonGPMlYjKxeJypVSssScaAAAUhQ+uvwIA94A+LmwgZWVFhYWF RUK6Eb36zWf6Iu+qkzj6HXln2HvSd4nH3nuNHtGMWZa+L3RnhtJ5WNgsTzYAOI1eERGxaf3ylSo/ bvmxZeWq94cbmY2CftswsWn5g8gZMw/naw6lsnux15mdhzTlalxTY3I4TAAAUvTkj6RsAH7Xwaqp le9TNhx8Dcy2QWPcND47kBc9fS4C4Ng7mjGAaeZUnw1QnvWkSG5gGr3Qbftu2DzcsTRxevvmHWed FTqP2vKrrxVdV/4SA+/Lq2Pl0UStF7b86Ja5JmDS1vN5DceE/hLc1+RR4sqAKYfy5AB0vptf0Oq9 h2IObF/UQXhj3+y58fmvkpavSXlhMyFif9Tu9cHDPCyZwHLWyFCQtS5g4ubz9P6r9u7fOqtxVlzI iHlniiqHTuHZU6Kuc8KWDVPsmLQs8blcMHzOhGaZcQ81w0Gn1bjt8mO/mzoMW79xoGVZ8vwpC36Y FvWa0yF8x/SmVZ+eaAy/Twt5H+swuonmdkpJ2rqJoYkvFAL/uRPds1RqpR2KP4wGq7e6JbfWND8F LRxFQGnilrPvlNKsY9GZwGw3ZYBz5fKe1rCvSKcKI2h3ymuljvbqn4NQV8NVpxiNRgPFu5TQkcF3 SU67ecFDxn321kker+7orGWA5icF2t2RIO0YRFF6vYzah+JQxbZJVG2nrqGSsjnSt9rzAgBA8uLM qWcSAPntsOHzTr6Wg+TR5mkjv19xrQTM203oZwllZyNTP5Cy7PgDjwHcvx/+DUd3/9Y4Qf5SPNUn gc46f/oHRNcj+lNI5VuoHym1VfhV+voRY9YnZZj0mrNy7S8zezoylVqPl5bGUAOdU1hah1DoR1ny 7H4B17WhKR0U4g8Stjmv8vcABs+cXfFBrKC8qZqBvPiVkEtYcz71KI1jbW8sfFUiq8y/7FHy+QJn 3z5e9pwanooq1ah81ZOkmKjf9xy+oWzRpVnVHyjJSz+Ytx3gP3JYe9bDpHOvHLoNDhg9oJnowc28 CgBZwZ10eeuB/v7+/iOGdmtsit8xgRBCCCGEEPoclGWsmC287ZHsdwoAkpa2y7JjQ3vCuV5AqGlP wp5wtbxYDrKn/I6EPdGZnykDKDYeTNgTzcxviACAlvuHaWAXO4KwJ5zt/IJ490tBkc/zJeyJFpZL pti6Odg3cLYnCLsfLtJJANkzfhfCnuhuonXErmHkL3ndCXuipWXIVNtGhP03XS0Ophov62tHEPbu /U0vFqo1qqo+7pbLZto0JewJgc3iJIZG+arplR/Y6wNtBYQ9Qdg7CeoNWc3SPFyWpF/ZxSkB2Qg/ OVN3PrrLpQiaWusKjNfE0sFWuHt3ybihou/nlKwcK2cDAADRU9QMaMk7jDTWf6mP4AAAiahcJquQ SSsAQCIWyqQVMpkeh26Wp3zffHwqAID16PjrqxpX3uW39R/mzqcDsBsa+mf2/IHrfwvtqEy+Gzv+ yttn7xTmXX26NORG3JHatu03ZJAVDUTWJ5dV/6jIzwIAsOw3b2p/b24XWdzeiZfvJKQJRxHOE0/n fE/S6EwGQHla3FXo+Ju7Cahf10T54fr670eve2TkOe/AGl/r6nfW8uzY9WfFYDlsTp/6tX16QOpx jqY+aaoxq9slL4idG3Q4l9tuzrrpjR5v+jHiQNDCjpd29tYzfz3uf4yVqTlfrRdkT9YuyAawDVgR OrkVp9gmNXHipetxt4tH2RtJpVnHN2/982WJtDKbrDuvmX4upnD/+eGIiBfuAve2fiMaGDGM3dUy lD9Zu+AFADyNCv4+qqrw1NOZkpYAALw+azcv7WYqf765+xIAq+G/rJjlzXlreb3Vj/dU602j1zjS VPvdxjd829hbw/cdPg+mfbZtGuXMgqrVHY3hJ4Umlfer6qCdrbzgckoegOXQ8OVB3xq94l3xCv4T AACUMq1Q3Bc1DlEbzMqyP2tNA3KnGa13LLqy9djThu/jcoDXe0qPenQhAGgP+w9eDxO0w/i0fKxW pxRUtKdsr4yVrGcOOdlvqRuuMcXIouS5k/Zm0lsujI+c4MalOX7m1mUqfh617WhnkfpzjmHWyJIO b6pvUHTHnQL6oO+1SrfM3U1VitZQXErRdlk2VfSqXqvZHFE/e615ASB7tmPS3OO5zmPCB2b8X8TR KcMt961gR8VflIydz6aBcetxw4nobef3XX3l8Dg6E5jtJvVzoMse6uxfVZoTREdta4inDjXXuYrW I3pEc1AJqfTJ2q5LqR4p/WqpcOI5p7uZADaBmzbM9fy0zlxf41+NmuicwsByNjQUelGKc64m32e2 6ethyQBQy53ymVyHw5hpnHpO3MLMx7lNbRvqOg5FvRoAAHS+Wy9/N1JW9Phc4plbdkPa2QIAw1rQ wIwBwLGyMzHmuNpz6QAm9ayZWaUVJJiYO5gX3Tx3qciFIJyc6lM8IBFCCCGEEELor5Gk8SeGcvKY soC5YqtbJr9p/G86qbXXih8w0SS7sXDVXolpusm8tWYjJIrLywAAoJBzSlQ+J0zJNmZuCeYmbjEK 7SQpOmacCdBuithJ54qpId5zUmjlgd2421OM5w/leI4Wjlbyou6YLDsgOj1EK/EHozsWpT8Fc5au MtoXyhvZVecRGW+TTNekMBtO+LClK/khm/VI+3uCxMyk2zSwlXra6lFJrXIbPaMI2rVtkk9vfyuy 2VkAUGo0y8P+pRhYzpL5G4uneSnpAExbaVs7eHjfOEMktlVZa9UZTrFYaGltV3nt2EAAAA9uplAl ZFi1bFsf0l6lR5/K8Z/o5BVycMPBBbP356mmcR4wN2wMUae93aZ25iwAKYtNByCrNmBrvIGmeD8t q5ApAUhZhVT5cZc3qVQqFEoaMBh08cO4S/J26zz4ACBSudatIudY8IgZsS9t+6yOiRjZ2FilyPI7 27c/Bmg08Qdv/sfbpFwqVZB0lhHLslEDLmSICnJLFMD5kP1KBsBzbWzJNDSN7hWO6naJM+KviIHe cdKkft34HYR7I27evJyQIe7fijp/jo5ydd1nasRKjw8S5C8P/rg0NoPfLezwki60pClDf32qkCv5 ndeePtzp2Ll7T57ePrYxPurgoxPXV3lRZWg1eHPk9Mpd5SRJN3fknAUAMHe0VZmBNDpD84WVK2sK mYIEhbBQSFk19baQksL3lX+VL3rzukwB9T6OVarhp10HbUwOmw5AZxp/PPGGMhQKUq3V+qQBYDr0 /7FveGDC5qU/KfPAZvSk9uY0qGwkxbDXDiMP4sZTllJDe/XIoSqxVsO1Qs1yDVy1rj+/he/HzeOf tXXmLoycTVMHb3yp0SGtNtyLH1xrqKlKz6MqhXIoUrS9htdqNodmSjUv3LKvZQJYdRg8fJ5bU3Lo 4I27xo4AALd5Y5oZA4CRYOSYxtt+ubJtx9bXOcDzm9Ldlny5g3oUVatxgugfz2G21I8lSY11rvpn UUdv1jqztGkMTmnCqMpLjXVaQ0/OpuhNWc4BA0NRO6U45+rJq8Jmft2bmDEAABjG5kbS90IFWNIB lMJiKcfWmMEgKW6q1dasPk+U/17iYVE1q0jJ+wIx196MBaAAoLFsW/u1yT6dlHCR1q9LA+01aK1q VKOxLL9pYnnz1hux0pYDQKMxKhPQ6HQGo6rZdDoNSACgmzXv4+/yJj+vIPfWiZtm3w3u4ljTjmuE EEIIIYQQMhSt4DInD8Dav+TnIKnRa+UVT/P7av9f490fLTuZ8wIAnvKCv//4VWupnEyJDACAJ1m7 ubSbKYCcwYjhLrpicuyp4n0cE3iSKT0Uovu8LfGMCgAaTzZqprghu0715YtX/lraOp0encItcSn/ 9eeyemfYUZPZb58yZNqJLcShC4XfKhRH1xpdfMt8JwXQ8QaZa68wBXh+mB/xQiZwl/qNkGskJMWM nFKA+goLFnUONZZLY1EHTeL98TgIUk6TA4CE3uL/ipbKuAuWc8In8dteK/E0BmAqHS0AXjPyygH0 WYCWiMtzsh7KpRWuTVqn3b4gk0klYiHlkR0c92mh/eOmxt8L7dkrdZiPm+mHJ8UaSV7Gb/g5m08H AKOGQ2eOruG0Cz0wuBZcgOKs+KhosmlLn45qP34nAACAshNLljQaSfy5/QYJTM9+zXkgf7mnV/uw DIfppy/NqTh+XuK9sjUfAMQZ1dcAFTln4i5kP3tUBgBvrx6JpDk269Xf27IocYbfjFMlwPfq7pJ/ fNOvYOTSf9JwARcAFG9Pbzj8Doy+mx1Qfbq2+H5I+7773rb89U5CgNeEwbZ/RKWtW7qm3O3htkcA 9YaMb21icJqRdnLKutlAdbvm27dwgJQXt36LiJa5Zmy9BwAOze2NwERH/jwD74vvqsRKvRc69Ojr su637EOLQx2H2f2585IcmG2HeJmDpEIOACxTazPyxZH4p5XhEd7duvWKWWvPnu4etm+uZ6SWviqR A7DVMuzYo1+DdZteJO466j2tg1nx09T4hOKpsUtVxwGT6NzDKfzZy5glYY6DzW9s/rT9mWnRoD4T nmcdjzxM2F1Yn041iNT6XZZ9YMbsxFIrv1ndH0XEhE3e4H1yvnsdRyfTvpOPIzzLPbpuT6fxNpc3 3am6T8qpQqEexibOklrTtPTxaWreYeY454RNqTcAnIPGefA+LeppDnsLFwftME5Y3YSqFGosF189 c9DVcI0pBsqim3tXr3nmEuTZrQmf/tlbNzVuS7uxexN7itWXH+l8F7Ud0Dq6A2hapVNGQHMo6mh7 ja/VekYJ727SnhfGjXya0y7fj10W3nqBb4u+7bgPr4oAvundw5lVVcSgCa1XBt/deRTAKmBie3Ma +Z66aSrVpZ4g1LWtKZ46HpgWtdSZuvnqdWQ7+1I+UmgqnUhd4YMz+zVcv/F51Iwgqynf2ZRkFjSa EtynvtYw0/2NtzpHMrAaGBoKm5o/MFeKc64mXBE28+vezPJjSrqpS0NOevrzMsKNJ3ye/obb0ItP owPFTbVamAta1X94/fJjy25NrFggK3x8+caH+m27mdM/zh+aUT3P3r3gVFLCRdBYg6aqBin98E7I tbEwopGyoqzHhUyb1pzaF9kV4mIR08yuQRM7B9PS2NR3YhIXoBFCCCGEEEJfAsWfhlYuPStoChIU QrrWXqsPkdOrVmlJutKRwwEAMJdXbYFiKvr/KA4PNN681FSZBzajy9ubQ0kad+N2FgAAS9Jhsrgh G+RSmoIElhFJh9qvqwo2VZizgMYCFgCYKyyYH9fHKY9y5Cp5DAAFyaABkFVt1MywMtfOxacPVxw7 x37ylH1so3HUQdaJ68VeKqdN0pikER1ASpPp80e0VOVqB82FU/0Ktp3MDjjZ/IpxAZJ2JHl0DSfp LStHCJ7GACRNIgMA0lj9HXENR3AINY7gUCjkADyKpIx6/TaeMXUPX7c/OSlycxKda+3s1W+Mv3/1 pwOlqQd3plZeerpPGNXUwGM41Bk1DpjeMzHs9OnV804TU5MvL1D98VS0MwCAdc/vlInrIh6WmbYI XLVxOMGE6qNTJE9OnBV5hXmZ0dSvAciyO5vmL65ab3h7cvXSk1ajmvh5m5c9f1oCAFB2++Dm25Wt +GbUMAGXBrKsgxGXpGA7ZnYP6i1wNH7b0Jh15NyVMRuXn2bW8xq9YU2It4nhaXTVzUZlSYftNn3n 6jfB649tmzsFgEO0GT1n1URXFtBYOvLXVS71fcl91Vhp9kLwoR3yheFRUcuXAd1C0Cf4p/AAByZD Meqn6Skztxyf4Xft20HtneDJSwCg0STPEvYc2lgkBWDZevgvWNaBDwBaGe4iF6/av2fh5N3AtmjQ qsdkRzbkqg0E91m7fsqZsiIxatXb9qP9GsP+p2wumwY0K5/QJT7jlp/bs2hlp1E+DeDQC81uUe13 8aMtUxZfq6g/Zv/aea3zWH/2XBMxaXmHpGk6B2DNOM1/3Bn2cmr4qRUT7nsM6toQnj0HAGA1oAqF RhhPHf9p+vla0iR3bmpmJBgzw3vL/JuK5hNGNFL5DE5r2LOIOVphbOjWh6omOhi565uDjoarTzEA Ul6cn/++gFVcdTzEZ26doxGNwxd42FG1ReVPUnR0BwBolU4VAc2hqKPtNb5WqzmyNxTzgsn/fs/+ 0kU/7d4zL3AP09SpdX9/7vWYC+tHBDmf2jLMiQWM+r0md1k29YIUHPzHteIBgM6mfaRrglDWtoZ4 6nwoudRUZ0JHb0K+Wt4c97lUjxSQKxUkVG3ipqywadOO0Xthycr9yRFL/wBjlwHrptIohxllk2rq TaBx7AwNRY0L0IqiB1czSkSMW/FRtwCAzm/iN/BbG4ZFy+5el87FH7ilpHMcvHyaW9ABgPKmCjqv Ube+cPPamejbMgBgWbq27demEU8tFY1dz7O3L5xKTrgE/Tp/WoOmrIaVrPBRSmJ2qRwAWBYunr7t 7FgAFB/Qq0VBXvjw3NUckZIOSprpN+29dS/zI4QQQgghhFCdkPadJI5gkhtjtsxBbHXL5NP2Z6aF vD4TnmcZRx6W213gf9xrRbr4ShqsM3mRyDvqXd7BjP401TihuFx9VxkAgHmH8nHOxptS2QDyoHEy HgAv8F1+oEoKMTukvfW+t7Jf77wbaVb79fDP0lyVQv1Vbgvvmmy9omztKXH3ULy5zk8tpZdonBht rPB0hKuvWXkSaKzPJmg11EGL21q9rMJ2FQe24P/8p9HO340L5NyrEgC3CnczAACQMNJeAdSXuqqf NUHLz1d/3w8AAJsT7w9vbUZTSivXoOUyKQBIlbRzObwf+rY0tOJfkyI/srf3onRiavLlZdRHpVSk L+8yOG3RtUMDrOmq11+7pv82/8BYKYuuR8a+sGnkwBM/ObEy9PBzfp8917b51n4i6z+wLfpTlr24 d/dm7OI5+9/4bEv9vZ8NXZ9h/3cxNNR/b+uoSv/s/rmd9VX8lebLix5div556opLwtZrbh8PqPXM fYQQQgghhBBC/wHyXF7vtmYPHcpPXyptxqal7bKYGs7Jlis6jJMU7+E95EgOPijqwqM93Gkxbjmn ABSdRlXkRXJfmIuO3ir+lkvL/YO/eBX3/DM6CaRFA1mPycXhPkYDvc3SifLky9XnLBcctG47n61o XnLtpNBZezuRmL1YZaG51uvhUl6vdmaPifLky6Wu6eZt+3PfexTfSxAZ/WHddDKbP6Dw1hLm0I91 aPKe1/tTfaRGgc2tUkCyP62oG1MlQ1l1EBo8NB0bxL39gi4FYNlKBy8oDg+Qc9SqS3u4wrbnFlrA 0TdrviUV+dX5q5als1w+RdBWjZGrHkMif81ZO89013mmCEjnzsKlq8t6O5IAILpt1n4Ajz7+/dWf pcaqFaJcgE59XHDv+TuFUm2jNoNO83Cxat/MoW7D5ev4H1/c+d+iePvHvIC5cRklCgATp2/7Tw9d Nqql6b9vSdkwohuz2wyOLTYR+K/at2qgAwvgvzTs/97WUZX+2f13OqtO/kLzyaITg5pPv8W07zp/ 59YfPPh4uANCCCGEEEII/efJi1iXok2nrjASti6+fVykthWpjBPQzPISS3LwQVEXzZMEDKGkvbjH vhlrNmc/w2fbm9/7Kf9pS0s1BUHXS/K4wzuYP/Itur5dYv7V3j+T9PM/2I5OkP98pXC8s/rXUVEu QCOEaleWPFQwPlXlhuOMMxcXNf3fW1RE6N8Dpy1CCCGEEEII/XsUnbBuPp3NtK+Yv7PoBw9SbSn1 cy1Ai9iz21jHFpMC/+J9q8RfaDvaX1FTEHSiZR7hRz6Vj5wtEvyl7+IzhJh5aAMvx1U4e7jGjmxc gEYIIYQQQgghhBBCCCH0ZTBpNPw7ZoQQQgghhBBCCCGEEEKfHy5AI4QQQgghhBBCCCGEEPoi/mnH aiOEEEIIIYQQQgghhBD6j2AWFxf/3XVACCGEEEIJZJx6AAAgAElEQVQIIYQQQggh9B/ENDU1/bvr gBBCCCGEEEIIIYQQQug/CI/gQAghhBBCCCGEEEIIIfRF4AI0QgghhBBCCCGEEEIIoS8CF6ARQggh hBBCCCGEEEIIfRG4AI0QQgghhBBCCCGEEELoi8AFaIQQQgghhBBCCCGEEEJfxGdagJa/vbp97tCO TZ0IgiAIN+8+E1ck5skBys4GVN76SDD9mrD84gRXQpvPjhy5SpaK/EhfgiC8f06v0CgrL2nzqvC1 hzJEVD/qiyxMHOXmHfZAonItep8SMrSTuyNBEAThG5mvqEyqLLwYHtjDS+BMEATh6j140ZFMMQkA wqvT3DTa0HXLC7lmQeJnsQsHeLoQBNHAa+CiI1kSUrsytadRUtdNPZuytL2z+rRuSBAEQbh69p0T lSEka8rf0PsqsSqrW9h1q2M/GkBrRKmOgVoT10nl+HedcLFcRwJ9Wv3lIwOfq72fC1mWtntqNwFB EISToOOk6FzNWVVXdWxmbV2gM9taB0ClGma37lDUucsMfqGerTCIrjwNKkvPxJ93Bn2OwfkPmm5f 5fGiCynOvZl0JGrv7j17fj+YcO15qbKqUh8eX4g7EHUg6sDRCxnFihpuqpEXP0tNjNkfuX9/ZFRM YmpmcVXXyF6dj4q+WagAAJC+u38yKvpCZplS7ZUfMi4cO7A/Kioq8sDxi0+KP9cDByGEEEIIIYRQ JSbl3dSM1/ey3iiUasugDDqttattW0F9zdSKNydn9pgSXwgcN9/A0QJ++cu0K2cOJ+XO7uNQlcK0 3Uj/Fnw6AN2sFcFmk31/mOpcTspyE/ecygOel/9IT3M626GVmV7L4dL8pC0bY4u9mowbIeDSNH/U E1ly+/Adk+5zG3NUro0UKTILjz6DONFxj1TegCrLnlx9YtRuTHALk5z4TVE3ImdNqt/ydFAjtlP/ 2bMblJEAIH+dsjMmTcp3E1gy1Mspu/F//rP3v7HtEbRE8Gj7pshZ/gzni8vb8AxMA6RCTFU3VfK8 I/OWHklnuk9aO7Nx+voFe2OC53n5nBhpJ6LOn6ujXF33eapxY+TvrUPYa2BoP5JyqYLBZhpQNJ3v 7j99YgezDjaVfaQ6BurG8Dpo0qfVdRvh/3y6o6coOB4ckvCE3yV486j679Ke8wxste6cNceAnmrr gjpmW11hnbO7hlD81UL/d9TQfYZP4b86OP9p/ubHC8tS0GVwTxsuiPOunzh70apeXzceWfTnuduS FoNGNeYJnyYfP5dmN8jDHKhuqv7GQIoyUxKuk569R/S2YoGs8NG5UwnnaUO6u1a3iqx4dfuPszk2 Xfq3c+KqvrYiN/X6G6L3CG9blvTtjWOnruW69G5g9PWigBBCCCGEEKqZIp/X29ssnShPvlzq/l/5 Xd3QRhkcBDlz1wDb0ALhscslniXVr23y/jMFs4KRuMZ89QGjzBJg8OXdFxdtHyNnidjLOlnvsSm9 lFDuylJLTr3kezfrzdKx3X+Z0nvFpF5hY7suGdk+eKjnVD/B3ay32okl6VvD4guB7hF2OmnPysUL loT/Fn3xwbmlzY0/JXHqP3tZSEhISMjSWf2cWWyXQXOWhYSEBAc2NwYAwnfm0pCQkIXj25hT1Eaa G7+kX3OCIAS+i5PeyCUPQjsNji0GgNszWjgQROO2Hqo/Dj2VEelLEIR74OJp3QUEQTTtvSghTwYA 8pydPgRBfLviYQUAQNnd2FvGXQcKjFWvGfX6/LJzU9iYVmZqVWA6jIm7dnLT4umTgpavmeoCAHlp ryoAWI5+0+YvWLBgwYKZfibvpADO44I6mKm/hS+/szvuDUDzOSvmTZ+34sdmAK9id90tNzgN6Kib arvoRhaWbACuc6t27dt5OHABjK3M2TSd+Rt6vzpuvSpWqvXC0OQy6ctTy0d3qtwW2KLH5E3X3isA AES3Qnq3aly5s/Mb78GLj2ZXgPJD6vrAjgKicguh95DVf0o0u3Vocpk094/wwC5NCIIgnD38gnbf L1VWbRtsMXbJFB83B5dBsc/T9kzu5EoQzm0CQsN6ElV7IWVP13ckCKLzxkwZQHHiYIIgms2+IQJl WXrMll3bI6++U6i0ZeA3hdGjGxGEYPyx17KSK8GeBOHgG/FITDn8Pm1d/FSHI2+V6h0CZHnarskd GxKEc5uANVcKP23U0w5FiVar39SaxmfOcDeCaPLDxVISQPZsYxeCILpvz8zRMeyBIoyUnUI93eqQ Q400ojdw54m1GiMBAABoHEsrDoBYaNys+7BJC4P7OTA1ctBq6f+zd9dhUWXvA8DfO80MQ5dcUkVR sIBVbMVu10ZBXbu7C79rt9jYAmIgFhYGroldhKiAoIKKdEzP3N8fgE7cQXB1dff3fp59nh0uZ068 59xB3jmc0ZmXt2l0C1JzDdANDeTvr6wd3qauI0mSpEvT8ac/FusuTu1xaVSrbwEAUEqFDiVVzt1d bijUG/0cloUTO9bWmD6d4WjuHNV3s+gfBW3QdNCuEH11VqqtyoZX57Wl9GdE2VLpunxOE9oI6Bmp 3hmh8i6NqEGSrmP/KgQARerOtiRJNl2TmPeVm0XvFOjpgL5VpHizuy1JkvWGLRrj40KS1VtPDos5 tbCrO0mS7t2XXMtW0lSY+eTrL0E0t7aeV/sKrg01hIFNdSdLPgOAYWDlYMEUF8ooUBW8SRHbuDkb EkAYOrtZi5LSCinai+pVqfKeP8ow9W5ey5xNABBs89otGpmkP3yeW9YFpSjtduSldLJN1yaa2WcA YPCFPEouV1JAqeQKiifkMwHkaWcORMTERB0/cjA4NPL+u6zk22eOHQo+EHbhWY4CACh55pOo8EOH jxw5cvjohbi8r4wVIYQQQggh9O0YQnn/ccWjB8t+yAYsCmQ/468gKzuoypYvuCVc/wRcRxd7GP6t euipGNGzLUdt4+bUKV68Nm/xKKkVBRQA8GUjxsohVrjqL4bW2Q70CWiViuJx2HKZVCIq4hnwJaIi sbhIJRNr7YkGAABl9tM77wHA3beLEwcoeWFOdnZ2TjGDy/jy+1jc3IalJ3F0O/apcr+mfTp7IsvL b4AbqzDuQMCuRJVj38WTPTkA4OC3LDBw84alK9W+3Da1XknWO/duksukLRtH1C56Gjxh4tF07aVU +Dj8DqtF79p8rcf0WDweCwCAEr04fyEVQNi6l3ppVVb0xrAPwPKeNLim1nsHipyXKSIAnq29MRNY xg5VOABFyS9yFJUsUyEMq64bt/azLzg7rkmdZpMvFzsO2ramgzlDX/2SSl5XfIlV/Voas7Btas2k tb4jt199V3VwwIrZXQ0Tzq70HX3onQKAIazZadLqfYeOHAya27T47oEp00+nv7+wdG30a8vhgSGh ezbM7lvfjAVsR60KXZPX+47YepXRfdW+kO2TayRHLBow41JOydLJvnxO1Hra4oV9lTtHLjybonDt N224W1JEvHY4GES5+/nK5t3Iru+GTT3NCqNmjp41fmzoB17T5TvH1S5990Rr+X3OxZT1wa+W9qZB Sez6EQFnXytd+08f4Z6s1ivdUJzn9tIcdT3+V8v8OWnOIBIKzm67/EklSz5xOAlYjUf3cCzJgeks e2kcXRhBd1I+qPSMt+I10P1JvB6l0ZvXLm39eq2VAAAgeX3p3CsJgOLB4n4zznxQgCRh69iBfyy7 nf/55UffDV42L30U2+gXpBraob2P2zBg8IYLiYYdp61ct2Jie3uWSmdx1jOAcuhdALLnq5s56uih +xaGemVfD4W63BsPTf3+nN1K+Hn6EnSGQ/tEnZtF3yjo14PuCGhu/A/FeuqsVFsZTysZ3jx7+un7 fAvX5hN0EdAzUv0zAiaNh3czg8LLwTG5lDz19MHnAO5/9KvO03+7lTsF9B2QfG0VZUVFE239fUzF L4/N7DPzqZu/Xz1O7sMdCw+mFOpWOPdFm0VfewnSubUlsfSv9rQd1h0oPVX+qycZ/GpVjRigFOdK OCaCkn8JMQUmHGmuWEl7Ub0CRd77Yj5pwfscRIJnYWtQ/D5fXlJ/YULU1QzHDl28bHm6PxfYVg1b On04H7I/eH/I+Q9OLRtalbwUKQpyTbx79B/Ytwk7/sKV93Y+vXz9eriJnt57JwWQZzyMU3j07N+/ f/8BfXxqGOEHaiCEEEIIIfTDqArZR7YJgoI5n5QAFBG726xZVVvS0do3wKg9aUtWM7tWBPKXwmak LdlCmCQHyDPoRdqSbiZ3RQBAvD1v5N/ShiRtSUebTpMETwpAmS7oQNqSdc3mj7aqaWfr7GhLkjbj rzEoAPkrYUvSlmxrqHPEbuUo3gjakrZkPbNFY6xcSNvqrU3DYgwWdrUhSVv37kbXsjUGVdofd7OF Ey1rk7akq+W8C0yt9tXLq3I5G/ytXElbkrR1cLXuvZqtfbgsxbi5m5cP8gGdFCz99ehvlyZoGqPL MFgbzgCr4j178of2Ef0xLX/lEAUHAADI9iI3IKJ2crXyv/RHcACARFQkl0vlMikASMTFcplULq/A Lsei6D/qDIsBALDwO31nVY2Sq0Lv/n3dhQwATtXK/pWvsOeGLQHNVFGPwofdzHz1SWnSuk3LqvzA hzIr7269fzcnQGRxZuGXL5XpyQAAZt1mjOnekN9SHrFvxI2HkbHFg0jHERfT/qAIBosJUBQbcQua bXE3BM3H5VHl3tnwh9/6BK7njINrO1h8+WVTkRq+4bIYzPpO61Lla+8eULTZn8qX+YL1ZVyKjPDp k46+5Teetn6cy/PNUwMPTprT7PquzhWsvwLXy2JlZCLUmAX5i3WzUgGsfJcFjGrAy7OMOTvi+p2I B3mDbLkyWfLJrdufvcmXlVST/PADq5OTETxJORoY+Nrd1d270wBnLtPAXaNCxYt1s14DwMvQ2X+E ljYeczFJUg8AQNBl3dYFPkaKlK1t5wOY91uxbHJDXqbZnQZTH6v3m2CUu9LU592yw/IdQ+73O3D0 Khh12bF5kCMbSnMbWstPBrVKrpf2QbdaRcaN6HcAZn2WL53UiPtecNNr9jMAAFDJdULxRFRjkcZi VhU++2oZUDhM8Ng59+b2Ey+rZkWkgaDz6HbWjGIA0F32uV7xkbphfFk0RGdSMqRNaMcrZ0dVtAZZ X5tyE7NqSqNHFVyL3xmSrLESAOSvdo6cfvKt4+DlPRP/F3h8dD+zA8s4oaevSYbM5HyeUZ0bfEAd 9ZplL9a1XkC3ILt96YQ8lWZoZ684PEoCsPTfvHG65+fhVNF6zSmP3gUAbMdBO463EGm+ADONXcz0 Jq4qFAp1pr8HzPFrpLQ5vu6vayXTd+G07nBo3irQvln0jYI2aBeTJB0aar5/R7PaH6alZtLWWam2 zl13eVq58FqYWWhOX+nPiLJbWP5yw06aCNCP9Hnsi4X6Z8TAY2g/8vCOqwduvbd7fjgJWI1HdrNj yOP13m7lTYGeUCuX6F1FGQAAIOyxcs08j7iPh6OP5TuNXrNkuvWlu6Gj7ma+zEiS61R47x5vVb+v vAQ9TM92idp3Ok0KQAhqD5rYXX7xbCrNzdWvFl2HATroDFWHSpx2K+oJ67eu9c2YABpjo/2pVKkf kSUInrUDPzvp+dvaVlV1Tk2hxKk3otNsO/n/TnJk6XdPRd+w7tXGmQXAtHB1NmYC8MxtDA141Wz5 DABDawtWcoGUAkMTO5Oce1eu5ziRpINDFZqfBgghhBBCCKEfQBIrHBHAe8eS+04Xm9833KL1bQal s7lH6DvCMLVG8ap9EqM4wxnrjAdIlDcWAgBANu+cqGjaYhXHgLVtNv/sNm5Ac0nOCYMkgMajxQ56 M6aVkcWLJor8ffhB0QYz+/A8/Yr9VILQh4YLD4ou9tYpnMt9aFrw52zeglXcAwGCga31HpGRecFo bTSr6vDcba2p3FR2gu7v+WLWhQcEWMk8rSrQSZ12XV7RBO32DsnnBIY0lZMMAAXcyfVt34iB7SiZ uSlvrJeKAcCyknnbQPwTg0SR2Eot16o3nGJxsZmFTclje2dXAHh6L5quINO8nncViH0fd/hcWv8R Dl6LwjaGzZoS8k69jGOP6YsHk9+0t9vIxoQNIGNzGABU6e49rV8faVIxcqlcBUDJpTJV2S5vSqVS KlUEMJkMcXzEdUXj9fWFACBSe6yfNO3E7AETwt9YdVl9JHBgDQO1JoseBgU9B3AZMb6hsOwypZDJ lBSDzWWbuTjzIVGU8TZfCbzc1PdyAEG1GmasypbRv7nqy7jEiadvioHRbOTIbj7CpsX7Au/duxGZ KO7egL5+np529V1nacWqAm8kKN6ETV0Qnij0WXx0fkviwug+a14qFSphi3UXjzY/ceXxi5cPTmw6 HRqWcOrOKi+6Cs17bQ0eV7KrnKIYJva8ywAAJvZWancgwWBqP7EklaOUKylQFmcX03ZNcyyUJDur 5FwF0ccPhUqwLlurdMtPtw+6WDwOA4DBMig78YY2FEpKY9QVKQPAsus+tety/8itC/5UvQNLv5FN TAgoGSTNstcNowAihtG2Us54K1aD+nKlf6wZPcKIbiXUTL2dBGDetFe/GTVrU316bdo9ZAAA1Jwx 2M3gc/JUz0i/Oi+6tIYmixxU8lArx1XZw3F1FgCAPO3gmF6b3mgVbLDx8em+VvT3t6QioVDHNxMw AZQMJqG5XHWG80W5NwvNKABA58Z00j5Fnf7Gp8qts2JtCVQXh9AXLie8hnTT93mplBsBrZGap04r Z0aA6zpwcI0dK27u2Ln9QxoIOo1ua0W92Ul/U39RmQ44MdM26xnm7yUPjaqYsIFg89gAYGJnygKi ZPRly0Fn7t5+7SVIXhB7aFNQLAAA26fpqO6kbjD1d7jcsgBQkn0+c6vYrVPbWsZMAACmgQlXllWs BDMGgKo4T8azMmAyKZqL6tWwjKsIROlZkvqmpe9xU5KsDDHf1pgNoAQg2FYenX5LvXgh8hrRraWz Zg5aWfD2I8O+vQ2PAcCzqW7PuPi2QOlsBkAQzJJGCAaDySy9SxkMAigAYBjX6dLf6WP6u4y390/d M27Vq6U9zeZqhBBCCCGE0PdFZNzgvQOw6J+/ZJKM+0F109Pkicb3tX4BJFKjeK8B4KVg9h9lH7UW w0uSyAEABJJ1Wwt8jAAUTOYR/tybhideKrMiWCCQjG6nFD0RbDvNlAIQAvmgieKqnG/qr1C8ck2B RxzjcDQ/36lozZJC60uc0FGczJdMuW5hU3HAnOJGSuXxddxrmaxPMgA9KQ6+rdIIIOWoMPC13NVd 1mmAQqsgJWamFQBUUZqy6Wsot12CTR80yefNZ5SCUACAhFH3fzkL5PxZS3nLRwq9b+d7GgCwVPam AB+Y74oAKpKAloiL0pLjFTJptVoesQ/+kstlEnEx7ZEdPPexAd0jxpx+HNC+Y0zfNjWNcl/kaRV5 c3rjklQhAwC4VftM9CvntIsKYPJN+QB5yadDD1O167VppvFlK1cAACg8NX++y0DyWdBdClie3eoI QPFmb8cmixPtxl28Pk168qqk4UoPIQCIE788BpCmXYr4K/VVQiEAZN46FkzYu3Xs3tAs5+yEThPO 5YPQq61T+snNa4Dr1H1kP1c+ACgzL248+gm4rab4fjldW/xkUZOuBzLrrXkY6es1vJfV+dDY9QvW FtWM35EAYN17mIdhpcsMtFHQ9s0Svoxrpm1dO4h+fX9L4GF5tcTtjwHAro4tFwz11C+o5HXxI7VY ac5C03ZdndZvST00L8C+r82zXdcVwPLu7WUCEqkCANhGFsbU62OnX5aEp/jR9u03jT0827vXt/p4 JzGm4H2+AoCjUWGzdt2c129+fXb38YZjmxrnvYw5HZk3JnyB+jpgkS3aOSx/9ebI/MX2vUzubv28 /Zll6lyFBSnJJ4OPkjZ/bYijW0Qa8y5PPThhytkC806T2yYEHlk8amPDMzPdv3F1smybt7GHV2+P r9/bfJjljc0PS69TCrpQaIaxlqPkq2XqtWlT26TpxKGOkZtj7gI4ThpaX/A5F6m97E2d7HTDOHx1 LbpW6LGdOlS4BvXlavyM9nF/zdppV4KBS5s6xI0n4QuXe8zqULdrY378LRFA9c7tHNVeNXVvcA0c xw60C5KAj+UPbUzYxG5VN2xKCZ0wyXx0K8v8pAyX0bO7VNGZAv2fl6pvAQCwnYfsO9terJkKZgid zBj6XnlMKxKK8qevY7eq67SHo/72p56bRd8o6IMWsd1Ws13a1a6vzsq1dXBsG/uVlQyvku5nxFci QN/6kdnlzwjb6ffhHitnP9p1HMDcd0QTE4LKor3xv7UDEdsa6x1mhm7d6jiOtBVutPjaSxDT1v9C uv+XiiT0NxfHkq7+i9prQ5NKnHYr8maxW6e2bmZl/xhhGDlV5cXFpRSSNQXFKXEf+VW9hAQDaC5q xMDEtUGV+Ds3npv51DJngzz7+Y27uVW8fUwYZa+PBNfas3NHOHch8hpo5qAZfAuBNOFNjtzSkiX7 9DpdKnDXPiWahlKcJ2IZ2zjXsrEzKgiP+SSmMAGNEEIIIYTQP4Zml1VJ6llJKClQFjN0NvfkBo8r zdJSDJU9jwcAYKIo3ZnEUnafKl7ub7B1gZHqHVj6FTUxgfxY/qYgNgAAW9J0lLgqBxQyQkkBm0sx 4OuPSxs2UpqwgWADGwBMlKassvw47WGcfJWACaCkmAQAVTpG7QpLam2Rd/Go9MQVzouXnBObDELD 2Kfu5Hmp/Vk6waK4DAAZIa/In5DStasbNPXNZxwbuQ3wUoXSob6SxhR1fC3vQiY7rRg8DQAoQiIH AMpAM+Ws97csiahYIi4Wi4sBQCIuloiKZFIxfVGmdbdNl8Lm9fayeHcheGvgtpMpll7dxs3u/+Xd gYKYsF1BQUFBQUGbjiaKvuHvZ9Vxa/iOa2/Hyr24esbE+RFvGZpflryDYNG+lers+sALH4zq+m/e 1I9UH7TkxanLIq++XsaE5mMAqvDh5pnzFu98LAOAzDOrF8xZfCxNDqrClJf5AACFD8K2BgYGBgau Dk0oGYU8OSzwugys+k9pR7+JkRB6BxxZP8gDojct3XyN6eW38ciihoaVL6Ovb+o4NcftWu3raZaw Y/rombteWP3mt27HiGpsvfVX8rpmrDRn4VPN6Yd2jmlpmxK6dOHaM4WuXWaHBfnasdjOg/4c95t5 zskJnQYG5dRyKB0vIXkVuWHmqMH+Y9c/ENbvv3xhU6F2hZk1px3aPcHHIWXvnFHDxi4IuiF3a2yv 9W4T133y7j+7ODNiQ1fteGTXqQYAcPgcAgjzNgHz29gyX+6du/KGRRtnmmlRH4s4YdvoebelVQZv Xzdj2a4ZteBF4Milt/O/9ROleHWm7lrc2UkSvWz4pP35dauWXqYPheaoI1l9v1om4q0cgOs6eEJD JgDUGT7ARS0qOsue664bxqo1aXuix9+voRy0K4Hl9MfekGkdnN/sneHff8z2t+7d+7eygqQNAyYd e/N5wZd3gwMA8NxpFyRQKiUFpXtO6YZmb1R72uF9k9rVLIoKXDB7wZZL6UqCoJsC/fQsAACCZ+Na v4GWetVNWXrv7gqFolxc2uGoT4Gem0XfKGiDpvOOLP1q11dnpdoy/obwljt9+iJA27rgazPCrNJx VEsOAIBd/6ENBHpv/G/tALecYX4NfYUVeQnSpO/moq2//C4pc57eSswXZdw/Hbp///79wRF3PykB GKb12npxY08fDD14Opbn5VPHlKHnojqGwMWnq7dhyqXDISEhIYcvpQi9u/m4CDRKERxrz84dqudd j7z+uvjLP0QYwpqtGlu9vXgoJCTk0JUM6yatawi/moCmFNnxV44fCjt0OOzozaJqjVz1vyuFEEII IYQQ+n4o2+YSe4DsI8YLNxmummn0efszy1RRhQWQbBB81GDHYmHZ5h7KqYPEGSD7rOD4A+abV+zL wUZTNrJUOv9+N2laNNQRsmM4uaDwHSoXANj6f0pPz0hPz0hPzfERAog5ixpVqVrV4vCHij3+LvRU WPzIcPtNwtZT0rufuK4BQAEjX+vEaAOlpz3AB/Y77cOhK4I+aEq1oHGqif3rAhRyd+03iNhjeEsC UFPqbgwAABJm7HuAKrJqmmdNEOnp6bpNbT37pJ+HMaGSlRwDrZDLAECmIq6kCcZ3rfcNff/HKNOD OzecG0eOibqxkP6oFGnc0pa9YufePtTDgqH++J/u6b/NLxgrVc6d4PDXli52AvGLUysDjqYIu+y9 vaOD/jN1y/yCY6k4VeHrx4/uhc+bFvKxzY6Y/d0sGRVZ9v8Vf2ekipyE64eXjFl2vdhj7YOTvl89 sR0hhBBCCCGEEEI/neKtoLO3cbxd0cXrBW4cIna36ZjlvFSFsulQSd5eQTxPEvY0p6WAiN9lOnQp LwOUzQdJ3wXzX5uIjt/Pa8Qn3p4XzlvFv/qKQQFl6ixvNypveRtuz4bGcWRR1I0v5yxnhFl4z+Qo 6+TfPlPsqLvLR8yZ18TiQKZ8zcNPA42//rifTNCxsfFzsijqRkG1OBPv7vys+nmPI0Xc8xa1R3GE PbLvz2f1KetDrSxB58/9kXH965hHgyQkNseHpVah/EsQnOONhkziP3jNkAGwrWS9ZuUt91Vono5J xC+zar+N8D3+cW0jSpn+pX71tvS2K6QJ2qrBCvWNoYoPvHUzjHZfZYmAcmxRvGB1YWd7CgBED4yb 9BAwhmXdWiJT/6gw+gR0zPOMxymflCqNvcpMBlHfybyJm923LZd/xv+fTBwCZeb5Gb7TIxLzlQCG Do26jwtYOKie0b8vpVw5ortTfusVnmfo2n/VgVU97dgA/5+W/d8YKZVz6vc64+6zbFvP3LV9fH0h /rU8QgghhBBCCCH0i1PksK8fNhqzjFvskffgpEhjM1khz9fN7DpbEvY0p6X2SQKVoSJeP+bcCzee FsJss+Pj/m66O6R/svKCoO8p7/j9mpokdHb8j+8AACAASURBVMi5EyQx+ccyIBTj6ngrv0jFkpvZ wxw1P/+INgGNEPq6wqg+rsNi1C7YT7h0bW7t/3QG+P89nHQtGBCEEEIIIYQQQj9MzimLOuM4LFvp zF054+tTGqnU75WAFnGm/GYRnke59s87sEpsV8HPXfoHlRcEvYikY8Lgl4qBU0Suf+uz+CpDzDq0 UZBWrXhKP60d2ZiARgghhBBCCCGEEEIIIfRjsAgC/xIdIYQQQgghhBBCCCGE0PeHCWiEEEIIIYQQ QgghhBBCP8Svdqw2QgghhBBCCCGEEEIIof8IVl5e3s/uA0IIIYQQQgghhBBCCKH/IJaRkdHP7gNC CCGEEEIIIYQQQgih/yA8ggMhhBBCCCGEEEIIIYTQD4EJaIQQQgghhBBCCCGEEEI/BCagEUIIIYQQ QgghhBBCCP0QmIBGCCGEEEIIIYQQQggh9ENgAhohhBBCCCGEEEIIIYTQD/E9EtCFl30dyM8c6rQZ EXjjkwIAgBKnRC4f2ra+E0mSpGPdNoOXnkwSUQAA8vTzS3yb1CRJkiQdXRt2HLX7pazo2vBqpK42 O9MUaq0p04M7kCTZcEmcVLMbincXtq5avu5Qoojuy4qiss8Oqtlw8VOJ2mNRVvSiPs3d7UmSJMkO wenKkqKq7GvL/dt5uTqSJElWa9hr7rEkMQUAxbfG1tQaQ+ttrxXaDYlfhc/p4elEkqSzV8+5x5Il lG5nvl5GRd83zWoKY/dN7uJRlSRJkqzm2XVaaGIxVV79lb2uFqvCbwu7ft84j5Wgs6LU18BXC39z Kz+SZtB+cNOl4fpKIfHbexeOhe7bs3fv/rDI2ykFqtKe5j7/K+Jg6MHQg8f/SsxTlnNRgyLvVczZ IyHBISHBoUfOxiTlld5e8vdXQw/fy1YCAMg+PTkTevivpEKVxjNzE/86cTAkNDQ0+ODJay/ytO9L hBBCCCGEEEIIIfRdsWivxiR+eJz8UanSSHcyGYRHNStv1yp6qjJrM2Z4PWXC6b1nz68eXGR352AP 2ZHhHWZeE4G9z5CJbsTz0wcubx9/K7Yo+qAv79TkMTtilM4dRwx35Ra8e34/8VWOnOPYdfwYxyJK /vbs3nPvQODVf6CnCYNj18C4QmlyWfqFbZvC87xqDR3gyie0v6wgKv/B0YeGbafX4Kk95iqj5ab1 u/zOOxyRoJavUhW+uPWC23jw7LqGaac3h94NnjyySr2Lk1w4Dt2nTHEupABA8SF615FYmbCmqxlT s53Cu//rPyXko1W7SfNdE4I2B0/uz3S8tvQ3QSXLAKUU0/VNneLdsRkLjsWx3Eeum1gjbsOsfUdm z/Bqc2qgjYi+fr6edvVdF6jHjZm+7xvCXo7KziOlkCmZHFYlmmYI3fuPG9HUuKllyRypr4FvQ9cH 7VZ+HEohE737lsX/DQ0pmRxmabi+Vppt5tqyV3tLPojf3Tl1+Zq5ddeaAirn2ZUHkrq/D6ohKH4Z dfJKrM3v9U2A7qL6SwAlSoqOvEN5dh7Q2ZwN8uyEK+cirxK921b7MlRK+v7B+ctpli27N3bgqz9X +jbmzkey84CGVmxZ5t0T526/derszP2eUUEIIYQQQgghhNB3pEwXdG5oHEcWRd0ocP+v/Apf2UFV OggK1u4eVgEZxSdu5Hvmf3lurazvFEwp8+xak9UHuUn5wBQq2s7LCRqsYIs4C5tb7LUsuB5ZVI2t UZw+tfso+eOCIW1XjO68bGTHxUNazx/YZHYfzzGdXB8lZ+pv2bbtsInTF29c09cMQPb0r5TcZ9vW XBMBt9XmU/uXz5mzbN+pHe34ILm5ZtuTwsznbxQAzt3HT5s+c97SwJCoqFXeAo7T79MWLlq0aLZ/ HQMAIDtMXLBo0aI5w34zoeml7O3p+d3qkCTp2mHehY8KydOA5r3C8wDgwYS6diRZw7u++pd9ziUG dyBJ0t1/3ti2riRJ1u48N/KdHAAUabvakCTZaFm8FACg8FH4fYPWPV0N1B8zrbus2LV58eAGxhpd YNkNjrh9ZvO8cSMnLV07xgkA3sW+lwKw7TuNnTlr1qxZsyZ2MvwkA3AcOqmpsWYasOjhnoiPAHWm LZsxbsayqW4A78N3PyqqdBnQ0zf1cTG4pmYcAL5jg8ZNGte34wMYmJtwCL31V/b6l7h1lK7UmIU+ UYWyN+eW+jV3JUmSdKjbbtTm21lKAADR/UWdG9Qo2bddvWGvecdTpaDKjdng38y1ZB+9a8Peq59J tKe1T1Sh7O355f4ta5EkSTrW7zRpz5MCVekO37pD5o9uU9PO6ffwlNi9o5pXI0nH33wDFrcnSbLa 8GtFIH+5oRlJki02JckB8s72IknSbcpdEagK445s2x0UfOuTUm0sPatnH/ZzIUnXYSc+yPNvzvYk SbsOgQli2uX3eZfx5z4cy1RpToh6K4o3u9uSJFlv2KIxPi4kWb315LCYUwu7upMk6d59ybVsZWlt ussV6OOp2bqjc63emkFT64du5CU5USNqkmSt8dcKKAD5q00tSZJsG/RaUYFQH8tUld0muveoOsLA prqTJZ8BwDCwcrBgigtlFKgK3qSIbdycDQkgDJ3drEVJaYUU7UWNSOY9f5Rh6t28ljmbACDY5rVb NDJJf/g8tyziSlHa7chL6WSbrk00s88AwOALeZRcrqSAUskVFE/IZwLI084ciIiJiTp+5GBwaOT9 d1nJt88cOxR8IOzCsxwFAFDyzCdR4YcOHzly5PDRC3F5WlOLEEIIIYQQQgihH4YhlPcfVzx6sOyH bOmjQPYz/ji6soOqbPmCW8L1T8B1dLGH4d+qh56KET3bctQ2bk6d4sVr8xaPklpRQAEAXzZirBxi hav+Ymid4UCfgFapKB6HLZdJJaIiibhIIioSi4tUMrHWnmhN0uz0NylPr5yMyQEAc2eTwthHmQDg 2qVJyZgYFt7dawFA1qNn+Q7t25EAKYHdaju4encZMnfX9QxZ5Yb66eyJLC+/AW6swrgDAbsSVY59 F0/25ACAg9+ywMDNG5auVPty29R6BgAAkHs3yWXSlo0jahc9DZ4w8Wi69hIrfBx+h9Wid22+1mN6 LB6PBQBAiV6cv5AKIGzdS720Kit6Y9gHYHlPGlxT6z0FRc7LFBEAz9bemAksY4cqHICi5Bc5ikqW qRCGVdeNW/vZF5wd16ROs8mXix0HbVvTwZyhr35JJa8rvsSqfi2NWdg2tWbSWt+R26++qzo4YMXs roYJZ1f6jj70TgHAENbsNGn1vkNHDgbNbVp898CU6afT319Yujb6teXwwJDQPRtm961vxgK2o1aF rsnrfUdsvcrovmpfyPbJNZIjFg2YcSmnJCGYffmcqPW0xQv7KneOXHg2ReHab9pwt6SIeO1wMIhy 9wSXzbuRXd8Nm3qaFUbNHD1r/NjQD7ymy3eOq12yjrSX3+ejLcr64FerAhuPs6Kiibb+Pqbil8dm 9pn51M3frx4n9+GOhQdT5CUFdJarJFZPPNVbXzRp6NhhHrqLv3T4OpGPlDWbNIiEgrPbLn9SyZJP HE4CVuPRPawTvx5qv1r8oq/eJlpU+a+eZPCrVTVigFKcK+GYCEpe8pgCE440V6ykvahegSLvfTGf tOB9DjDBs7A1KH6fXxI1VWFC1NUMxw5dvGx5unPAtmrY0unD+ZD9wftDzn9watnQquSPQBQFuSbe PfoP7NuEHX/hyns7n16+fj3cRE/vvZMCyDMexik8evbv37//gD4+NYzw5HyEEEIIIYQQQuifoipk H9kmCArmfFICUETsbrNmVW1JR2vfAKP2pC1ZzexaEchfCpuRtmQLYZIcIM+gF2lLupncFQEA8fa8 kX9LG5K0JR1tOk0SPCkAZbqgA2lL1jWbP9qqpp2ts6MtSdqMv8agAOSvhC1JW7Ktoc5RupWjeCNo S9qS9cwWjbFyIW2rtzYNizFY2NWGJG3duxtdy9YYVGl/3M0WTrSsTdqSrpbzLjC12lcvr8rlbPC3 ciVtSdLWwdW692q29iGyFOPmbl4+yAd0UrD016O/XZqgaYwuw2BtOAOsivfsyR/aR/THtPyVQxQc AAAg24vcgIjayf2kuXuP/ggOAJCIiuRyqVwmlctlclnJg/JPkH219vdma0sqrTVy2ZDq7DPaJaiy 9DUhaPTnxQsNQw6d/Ssm5u6Ty8FPLl9MO31jqWeFs1gg7LlhS0AzVdSj8GE3M199Upq0btOyKj/w oczKu1vv380JEFmcWfjlS2V6MgCAWbcZY7o35LeUR+wbceNhZGzxINJxxMW0PyiCwWICFMVG3IJm W9wNQfNxeVS5dzb84bc+ges54+DaDhZfclOK1PANl8Vg1ndalypfe1eBKiexX5kyX7C+jEuRET59 0tG3/MbT1o9zeb55auDBSXOaXd/VuYL1V+B6WayMTIQasyB/sW5WKoCV77KAUQ14eZYxZ0dcvxPx IG+QLVcmSz65dfuzN/mykmqSH35gdXIygicpRwMDX7u7unt3GuDMZRq4a1SoeLFu1msAeBk6+4/Q 0sZjLiZJ6gEACLqs27rAx0iRsrXtfADzfiuWTW7IyzS702DqY/V+E4xyU8Pq827ZYfmOIff7HTh6 FYy67Ng8yJENpalQreUng1ol10v7UF4DXwh7rFwzzyPu4+HoY/lOo9csmW596W7oqLuZL7NKE9Da yzXHK/4sbTy7abUuujvl0N5HWosfAABUct3IZzB+/2OCx865N7efeFk1KyINBJ1HtzN7uyfya6EG gKLbkyp0m5Q1L067FfWE9VvX+mZMAI3XItplVqk1X4LgWTvws5Oev61tVVWgPdWUOPVGdJptJ//f SY4s/e6p6BvWvdo4swCYFq7OxkwAnrmNoQGvmi2fAWBobcFKLpBSYGhiZ5Jz78r1HCeSdHCoUsHp RQghhBBCCCGE0PcliRWOCOC9Y8l9p4vN7xtu0fo2g9LadCiNE/qOMEytUbxqn8QoznDGOuMBEuWN hQAAkM07JyqatljFMWBtm80/u40b0FySc8IgCaDxaLGD3oxpZWTxookifx9+ULTBzD48T79iP5Ug 9KHhwoOii711CudyH5oW/Dmbt2AV90CAYGBrvUdkZF4wWhvNqjo8d1trKjeVnaD74Vli1oUHBFjJ PK0q0Emddl1e0QTt9g6JWVnSU5rKSQaAAu7k+rZvxMB2lMzclDfWS8UAYFnJvG0g/olBokhspZYs 0htOsbjYzMJG/crTe9Hl9td2wPKFPlZ8Y7JWA3dSwABxHQ8riMtMPHP7U/9e1kxQZd2NfA4AFh51 LVR5+Vy3HhOX95gIqqyzf3iPuvzh7tNshSe/wtNrZGPCBpCxOQwAqnRjtla2iSbPKJfKVQCUXCpT le3+plQqpVJFAJPJEMdHXFc0Xl9fCAAitcf6SdNOzB4wIfyNVZfVRwIH1jBQa7LoYVDQcwCXEeMb CssuUwqZTEkx2Fy2mYszHxJFGW/zlcDLTX0vBxBUq2HGqmwZ/Xsxv4xLnHj6phgYzUaO7OYjbFq8 L/DevRuRieLuDejr5+lpV991llasKnDksOJN2NQF4YlCn8VH57ckLozus+alUqEStlh38WjzE1ce v3j54MSm06FhCafurPKiq9C819bgcSW7yimKYWLPuwwAYGJvpXZnEgym9hNLUs9KuZICZXF2MW3X NMdCSbKzSs6vEH38UKgE67J3EuiWn24fvsKoigkbCDaPDQAmdqYsIErG+rk+muVaLrXW9cwCbeSV FMuu+9Suy/0jty74U/UOLP1GNjEh3gHAV0NdsduklEqcduvMrWK3Tm1rGTMBAJgGJlxZVrESzBgA quI8Gc/KgMmkaC6qV8MyriIQpWdJ6puW7jKnJFkZYr6tMRtACUCwrTw6/ZZ68ULkNaJbS2fNHLSy 4O1Hhn17Gx4DgGdT3Z5x8W2B0tkMgCCYJY0QDAaTWRprBoMACgAYxnW69Hf6mP4u4+39U/eMW/Vq aU+zuRohhBBCCCGEEEI/FJFxg/cOwKJ//pJJMu4H1U1Pkyca39fKhxCpUbzXAPBSMPuPso9Ui+El SeQAAALJuq0FPkYACibzCH/uTcMTL5VZESwQSEa3U4qeCLadZkoBCIF80ERxVc439VcoXrmmwCOO cTian+9UtGZJofUlTugoTuZLply3sKk4YE5xI6Xy+DrutUzWJxmAnhQT31ZpBJByVBj4Wu7qLus0 QKFVkBIz0woAqihN2fQ1lNsuwaYPmqRh2b5hSkEoAEDCqPu/nAVy/qylvOUjhd638z0NAFgqe1OA D8x3RQAVSUBLxEVpyfEKmfTzPmiJuLjcLJhZvbZdupBfUkUGdcfOaBE+6/q1id2H3O1em5F4JiRa BLxmM8bVZ6du7twpWNCiZYNq1sx30TfEACa1a5n+vTcXmHxTPkBe8unQw1Ttem2aaXzZquSI2sJT 8+e7DCSfBd2lgOXZrY4AFG/2dmyyONFu3MXr06Qnr0oarvQQAoA48ctjAGnapYi/Ul8lFAJA5q1j wYS9W8fuDc1yzk7oNOFcPgi92jqln9y8BrhO3Uf2c+UDgDLz4sajn4Dbaorvl1O3xU8WNel6ILPe moeRvl7De1mdD41dv2BtUc34HQkA1r2HeRhWusxAGwVt3yzhy7hm2ta1g+jX97cEHpZXS9z+GADs 6thywVBP/YJKXhc/UouV5iw0bdfVaf2W1EPzAuz72jzbdV0BLO/eXiYgkSoAgG1kYUy9Pnb6ZUl4 ih9t337T2MOzvXt9q493EmMK3ucrADgaFTZr1815/ebXZ3cfbzi2qXHey5jTkXljwheorwMW2aKd w/JXb47MX2zfy+Tu1s/bn1mmzlVYkJJ8MvgoafPXhji6RaQx7/LUgxOmnC0w7zS5bULgkcWjNjY8 M9P9b63RStJermaOdrTxJOCj5hOZdIsfAIBS0EUegDBpOnGoY+TmmLsAjpOG1hcA26nDV0OtdZuU SyVOuxV5s9itU1s3s7IbnWHkVJUXF5dSSNYUFKfEfeRX9RISDKC5qF4Tw8S1QZX4Ozeem/nUMmeD PPv5jbu5Vbx9TBhQukGd4Fp7du4I5y5EXgPNHDSDbyGQJrzJkVtasmSfXqdLBe7ap0TTUIrzRCxj G+daNnZGBeExn8QUJqARQgghhBBCCKGfhebvpUtSz0pCSYGymKG16dC8V27wuNIsLcVQ2fN4AAAm itLddSxl96ni5f4GWxcYqd6BpV9RExPIj+VvCmIDALAlTUeJq3JAISOUFLC5FAO+/ri0YSOlCRsI NrABwERpyirLj9N+uBRfJWACKCkmAUCVjlG7wpJaW+RdPCo9cYXz4iXnxCaD0DD2qTt5XmrnrxIs issAkBHyivxlOV27ukFz4n15BsdGbgO8VKF0qK+kMUUdX8u7kMlOKwZPAwCKkMgBgDLQzPLqTb5I RMUScbFYXCwp+U9UJJOKK9BrNSyHgXujto9r5yq5Ebpta/D1whptxmy5sM/PkcWw8O7dpVrx47MH tm/ZHfnSsHaXubsDGlbwr/j14dbwHdfejpV7cfWMifMj3jI0vyx5Z8GifSvV2fWBFz4Y1fXfvKkf qR4MyYtTl0Vefb2MCc3HAFThw80z5y3e+VgGAJlnVi+Ys/hYmhxUhSkv8wEACh+EbQ0MDAwMXB2a IKIAAOTJYYHXZWDVf0o7K9oQE0LvgCPrB3lA9Kalm68xvfw2HlmkHYCKlNHXN3WcmuN2rfb1NEvY MX30zF0vrH7zW7djRDW23voreV0zVpqz8Knm9EM7x7S0TQldunDtmULXLrPDgnztWGznQX+O+808 5+SETgODcmo5lI6XkLyK3DBz1GD/sesfCOv3X76wqVC7wsya0w7tnuDjkLJ3zqhhYxcE3ZC7NbbX eheK6z55959dnBmxoat2PLLrVAMAOHwOAYR5m4D5bWyZL/fOXXnDoo0zzbSoj0WcsG30vNvSKoO3 r5uxbNeMWvAicOTS2/n/5AfQ6SxXnjttPHWeyKVb/AAA9JEHAOC6Dp7QkAkAdYYPcOEAANf9q6HW nPpyKXOe3krMF2XcPx26f//+/cERdz8pARim9dp6cWNPHww9eDqW5+VTx5Sh56I6hsDFp6u3Ycql wyEhISGHL6UIvbv5uAg0ShEca8/OHarnXY+8/rr4y8stQ1izVWOrtxcPhYSEHLqSYd2kdQ3hVxPQ lCI7/srxQ2GHDocdvVlUrZGrMR4CjRBCCCGEEEII/fMo2+YSe4DsI8YLNxmummn0efszy1RRhQWQ bBB81GDHYmHZpkPKqYPEGSD7rOD4A+abV+zLwUZTNrJUOr/WmzQtGuoI2TGcXFD4DpULAGz9P6Wn Z6SnZ6Sn5vgIAcScRY2qVK1qcfhDxR5/F3oqLH5kuP0mYesp6d1PXNcAoICRr3VitIHS0x7gA/ud 9uHQFUEfNKVa0DjVxP51AQq5u/YbROwxvCUBqCl1NwYAAAkz9j1AFVk1zc2KRHp6um5TW88+6edh TKhkJdufFXIZAMhUxJU0wfiu9b6h7z+dMj24c8O5ceSYqBsL6Y9QkcYtbdkrdu7tQz0sGOqP/+me /tv8grFS5dwJDn9t6WInEL84tTLgaIqwy97bOzqYfbV/v8xYvr5cvy9V4evHj+6Fz5sW8rHNjpj9 3SwrNPxfJlwIIYQQQgghhBD6r1K8FXT2No63K7p4vcCNQ8TuNh2znJeqUDYdKsnbK4jnScKe5rQU EPG7TIcu5WWAsvkg6btg/msT0fH7eY34xNvzwnmr+FdfMSigTJ3l7UblLW/D7dnQOI4sirrx5Zzl jDAL75kcZZ3822eKHXW3+ok585pYHMiUr3n4aaDx1x/3kwk6NjZ+ThZF3SioFmfi3Z2fVT/vcaSI e96i9iiOsEf2/fmsPmV9qJUl6Py5PzKufx3zaJCExOb4sNQqlH8JgnO80ZBJ/AevGTIAtpWs16y8 5b4KnkZ3ifhlVu23Eb7HP65tRCnTv9Sv3pbedoU0QVs1WKG+K1HxgbduhtHuqywRUI4tihesLuxs TwGA6IFxkx4CxrCsW0tkBuodok1AxzzPeJzySanS2KjNZBD1ncybuNl923L5uf7pjB76iZSZ52f4 To9IzFcCGDo06j4uYOGgekb/phzpP71cRXen/NYrPM/Qtf+qA6t62lXkhCCEEEIIIYQQQgihH0yR w75+2GjMMm6xR96Dk6Iq6p8SVcjzdTO7zpaEPc1p+XeOVVARrx9z7oUbTwthttnxcX833R3SP1l5 QdD3lHf8fk1NEjrk3AmSmPxjx4hSjKvjrfwiFUtuZg9z1Mgq0yegEULfrjCqj+uwGLUL9hMuXZtb G9/4QAghhBBCCCGEEKq4nFMWdcZxWLbSmbtyxtenNFKp3ysBLeJM+c0iPI9y7Z93YJX4F9yWV14Q 9CKSjgmDXyoGThG58r9e+vsQsw5tFKRVK57ST2tHNiagEUIIIYQQQgghhBBCCP0YLIL4x/ZhI4QQ QgghhBBCCCGEEPp/BBPQCCGEEEIIIYQQQgghhH4I3Y91RL8WmUwmkUhUKtXP7sh3wGAweDwel8ul KOrrpRFCCCGEEEIIIYQQQv9yuAP6l1ZYWGhmZmZra8ti/RfeKlAoFPn5+bm5uUZGRpiDRgghhBBC CCGEEELoPw8T0L8uqVRqampqZmb2szvy3bBYLHNzcwAQiURcLvdndwchhBBCCCGEEEIIIfRjYQL6 1yUWi6tUqfKze/H9GRsbZ2dn83i8n90RhBBCCCGEEEIIIYTQj4UJ6F+XSqX6b5y8oYXFYqlUKlx4 CCGEEEIIIYQQQgj95zF+dgcQQgghhBBCCCGEEEII/TfhDmj0c+DCQwghhBBCCCGEEELoPw8T0Ojn wIWHEEIIIYQQQgghhNB/3s9IQBdE9arm+5ey7tpnV4bZMUH8cGaDdnsyrUdefrzK45s+mK6kQnaX iJchrQ2/d2/1Nacs/YppXrvT6GXrprS0rNRxzfK3Z7cdeCBx6jvRrza/Mk/MP9PevNulstYN7BoP DNgZONxd8G9L59IvPI21oXx3ZumkgP1/vS4CYBvZ1W41bkfQmJpcAEqcfGr1wnVh0fGfZMC2qNXa d9qS2b1c+ETZ1FgOOnl/UwsjZer2Vh7zEyq/tGQfrgX9uXLv2XtphRTbxNmz0+g1a0a5VWqeQPlu b5u6M57ZTfjr/p91ueVdRAghhBBCCCGEEELov+pnJKDLmiQIgiAIINS/8U2d+fy0ilRAKaQKJpf9 N0Zd2oh5+4mjGyjjjgedPrN8QJHjk2P9bJgVr0SRfm7T+kO5Dd1H+Ll9S/LYosv0CXWzIjcciNkz ckg9n7sTq/7LPq6QfqrU1obq44lxw7bcVFbrMmZMbV7+27i7CS9zlARByN+E+LecHC0Ch3bDp7oT CSf3RG0eef1ZYUz4H2alT/90cP6+ydFTnD+3UZmlpfhwYmzzYSeygV+n5+h2zoyP8deizyYUj3QX VOrEdK1lXoJpVG/Q5DEtTFpY498eIIQQQgghhBBCCKH/B361DyGUvjnzv74NnUxNTU0ta7YeHfQw XwWiu3N8XO3MTU1NTU1t63SeEZ4iBaCKnu4Y4mVjamrl3mvF9SxleTUo3+1taWpq6jJg5h9N7M2s Om0/vrKfl4OpqampqYVDnS7Lnki+patkh1HT5izbvsnXHED6+HKSBKRpkQF9fnM0NTU1tXBpPnTD jU9KAFDl3Fqt1Zzk8VyvzodyAeDeSBczU9Nu5woq27p9l0kLlm/bPNQaANITMmUA0tQTczrXMiUI gmDbePlvupenUmVf+7NLDWOCIAiCZezYcuFDMYDyzXYPgiAsOo8fUM+YIAiz38YdTZMBAEhfH5/V qaYJQRAEy6p+3xVXM5XwpXyXSX6eZgRBGHuMP5mhAKCtnLYb3xJdAMXHhFQFQLXfp8yeMy9g9fbw a9c2NBEAiJ8GLosWAbfNzqhDaxctzjSJdAAAIABJREFUWhN2YW9HPkiurQh8LC57LhPi1/3vwidl efXrI4ndtOBENjA8l/11ad/KhYuWbzly8+nRnhYMPfMLeq+XURU+2tDJxtSU7LrxYcaTg4E7tuy5 kakE2rVKs1q+LXwIIYQQQgghhBBCCP0CfsoO6JL/PZtex2K62lWCIKSxq3v5b0xx/WPDoc7GTzdP XDnnd4nDkx3OtbtND5ztYsnOf7Rr6v/2jJ3o1Ty81lb/uaffsmoPmjPQ4s6GwLIqaGt4uBQAALKi IosnzVkxoPjVqhWXkquP2bG3rTAn5Wmcil25rdelRaVZ6WnJWc8ibmUDgEU1S9Wzlb0Gb0rhNhi+ zK/Ko81LI/7s/cns0Wl/1rkA7eY45MDlMx+NWXNP6vjHmrmNzGw9+JWdB1nex/SkpAsxHwEMvdtV 5UkeL2jfa1VS7dE7TvUwebx2xOLJ7cR21zusCjj3qsak4MOdhNlJj54q1XZJZ99IrLX74P6YBcMD tw/ya+B91S8roH3vNUlcr7HrhpH31y44PK9DpvmrK6PsSstfjjHftHHpiUkLorZN2Tii4wqrk7N0 K5c8/p9ONxyTj/aw0HmnQ88O6C/f5lbv3Mlu866kte2c1wodPJq26zN62vDWJCv76YNMAKjdo7k1 iyAAmFbNernDhXufHjz5pHQEAOA0mzXo7Yp9i7bEHrIpbariM6zMfnwrAwDq+PWsxivbxMwx4ILk 6RK6+R1qGU8770NtS56rKny4od+8NXcEHded2zfMJXtv2UBp1yp5vs3Gv7U4EUIIIYQQQgghhBD6 lfycIzgAAMCoqZ9vXSED5O+j9518oQQg5KnnTiYDQOK+qb77SgvfOv+icIQsKWLDpidpeVIKAACS 7qe+zrz0FsDcd93amU24GcJrtSY/IQhCTw2vJA0AAATdt+5Z0s6Yyo+O3bb3VdLBtWuT69au27Tb 4Oq8yiWgS8q+WNHRcwUAALDdxq0d6ZSx63QKgLX/2mUTvAxyrW+d9rt6+8i9vCHt7JyN4aFGcyyD eh19qvPX3JPaNO01oK/FN0xB/LyGjvMAAGpMPLGnp5Xi+bbwVwCQEDSmR1BpkWtn3g6qZgL3Xu5f uvRVgzoNWvw+3IUHULoh2aLf/2b0byZoLw/d0utyzNFHWU2eRCQB2Azfsm5aI4Mcm2sRvS5dD7md M7JfSXnzgeuXj26uIA8ujrr44flHGcPZXrdyWcIp3W6cThT3aCbQjSL9ERyfv8sQNll183rjfcEn L9+8dfvRhT2PLpxPvfRwZRW1JLVmHZ+/5teftKxbuN/2BeEjS/YiExX/zMPPlWhlraWp52nn19eN /vrQ30uenLF/2howbL85OniwMxeUOZ8rp12rUen9dFYLJqARQgghhBBCCCGE0L/WT0xAO/eet3KE HRPED6ZHnnzx8Uvqz6Lf3vAprlwAAIpiCuGo78yweGG7lZF/+jDODO68LFGpUJVkotkGXAZBMNl8 TmnFtDWYOvEvEABg6mTNIwiCMPHZeiuy9dGLDxKe3z267vi+4LhLcYGNDCrbfzv/dUva2QhM7N1/ q2snYEifq+ctvyRSGfTN6UlzVpjj6J3La99bNnV3wuaJa/3uLy5J8FoOCjszy41XOnCz6q4Wj6+0 DTt3Ny7+9sHlR4J2P731OqhRSQVyiUwFQMklUlWFTmIRWBgyAZRMFgOAUlFAmLTbo1P5ZmPabtDF ttwENAEEAbK8fIO6faav7zMdVJ9ODXD3v5AR8yQb6tZvaA3PPj4/eSvTv18VJqg+3T4RBwCWvzWw ZueWVMOy6hgw0z0yYMOuz41VNMgsC8+mJDxNjw059XrQeJeSRSQXyyiCfn6Jcq4TAADGQsgvvHEk 8kWfSfUEX84817NWq9Uw/1uLEyGEEEIIIYQQQgihX8kvdQY027nz79UAsk5vO3I3Oe3Fg6i988eu TpDJ5QDAMbY0oZLPHU8sKWnXuoMDwIcjK4POXD60eu290ho4dDUkKjVHWXw/MPCayK5h5wGDejQw ACjIyJN/Q2/NG3Tq2bNbx1b17QQMAOA6de5ZFeBj8LS5gUErp827Kgd20wGNTAn65hgCMwEAvIrY G3L0fGzlz0k2q9eh/6StESvqAySuHLsjzaFHXxeATxGBB2+/ev387tkd04cuic+/t2bNlWL7xt39 hvb25APkp+d+Hmn+4Qnjl65fNHrmDQpYjft5WFTt0ac6wIc946eu2fznuOmX5MBu4d/ETG/etuiO buWcanTdUH7TKpO/DuroVLP1gDEzFi6eO3P1X2IAU/faZiyD+pPntzYASfSItn2nLAqY1q/t0PMi MGg1b6qHWp6W4zJ8hb8lfMPEGtSdvKy3Oagezm3u4z8jIGDW2L5N6vQ5WehIP788ffNeWp2dX3DY qKrimws7DtwRL6LUeki7VvMffpfFiRBCCCGEEEIIIYTQL+Hn7ID+ss2VIEBtS6hB/bmnw6hp/9sb NNV/B3DNqnl2muBSu+fqKRdHbDw2vOXNJv2bO8LzNACCX3/uwZWpQwJOLxr40LNfu+rwIgkA6Gtw 5EJaaQMEQRDAYEhenFgZvDZbCsCx8fRbuKylceWO4NDsfyl+/XmnQ5WTF+3Zu3AmMMzcegSs2jDE gU2I6JtzHTKl86m5584tnXDOfvJNn7qmvMpHklNzzMbRG1oFPfpz9sXBYRePU+PnB20e22cTcM1d Gnab6sQjrj0P37xneZYUgFOl4R9L1vgYA+QDAIBV946qiD+XPsk38RyzI2SIA4vjsPjiMcWYOUFB syYBw7xO72Ubtw13ZIG+T/IjCLFu5bwGAbrd4JYXRQ0qcU6hEgA4hhwGy6qZb48bh6JP7j4nUgHL ok7PuatXNBUSBDgNPXzLaMX8NQcv7914GVjmtTpMnrFsXl9nDlFQUikBBMEwajZnUdPDE2/JK7vN nGXbe+dtk3oBK3afObVzAzAM7T27TnQTCurQzy/omXdlycImWJbtlp4PLmw1+NDsDoMZB1qVDl7P WjVg3PxbixMhhBBCCCGEEEIIoV8JUVRU9LP7gOi9ffvW1dX1u1erfLP9N8dxjx1mPHqxpsE3ZL2/ h8TERHt7e81r0uRDSxdvDjrxTAS1Ah7emlmT83P6hhBCCCGEEEIIIYQQ+l5+xg5ohGh2QMtTTwad eMZwbjF20eaJrlxclgghhBBCCCGEEEII/esRIpHoZ/cB0UtLS/sRO6B/BYmJiY6Ojj+7FwghhBBC CCGEEEIIoR/rl/oQQoQQQgghhBBCCCGEEEL/HXgEB/o5cOEhhBBCCCGEEEIIIfSfhwlo9HPgwkMI IYQQQgghhBBC6D+vEgnolJSUH9oV9P/K69evf3YXEEIIIYQQQgghhBBCPxYhk8kqWDQ5Ofm/+pl4 CCGEEEIIIYQQQgghhL47/BBChBBCCCGEEEIIIYQQQj8EngGNEEIIIYQQQgghhBBC6IfABDRCCCGE EEIIIYQQQgihHwIT0AghhBBCCCGEEEIIIYR+CDwDGiGEEEIIIYQQQgghhNAPgTugEUIIIYQQQggh hBBCCP0QmIBGCCGEEEIIIYQQQggh9EPgERwIIYQQQgghhBBCCCGEfghMQCOEEEIIIYQQQgghhBD6 ITABjRBCCCGEEEIIIYQQQuiH+K4JaPGzVe2rO7s1HRaeoSy58HBaLe+tr+JXeNRbHC/9nk39DaL4 fWsOJVWoN8o32xs5Dr1RrPsdVcbeJna+V4sA4G8OU3R7lDXBFBgZGRkZWXovr3yY/u1Brgh56gG/ ph41jNh11yfL1a7/zbFX6ul0i6Gyw5QlrvCoPvp64dcv/ojWf4aC812smod9oirzHI2bq9yLFX/6 j1ChiaPzb5g4Wj97Nv/J+/27+/6dL7z4exX66dD/k0tLhZaivpffX9P3Hfv3aF2nIf0Tp5/2LUM7 TOXHM+M97Ryq1/Qcdj6HKu/iD/Dv+KGPEEIIIYQQ+lm+ZwJalnoq5EXr0Hu39va1ZX7Her8vShy/ f21YxX5NYtr02nNyYX2DH9wlgef6uJyCgoKCT3fmuXF/cGP/iMoEuSLYTkNCb93Y149kfa8aK49m MVRymFTe9RW72ONmNhZ+7eKPaB19XxWcOLpn4sShH6uiP7kqthR/hZffivu+Y/8Orf9jDQEU3g08 arzx8asXD/d2MiPKu/j9/Rd/6COEEEIIIYS+o++ZgKYUUsrAlK+WeyZYQgszPpMlMDc3ZJX95qPK vrmqTz1Hh6ouLrVazb1dCBobgnIjWll1PlcAAADK9N3e1q3mTOnezNurjpvP8jipnouKj1ELO7s5 OTk7OdXtG/i4kCqp06Jqv6F9u/g0cHLpue2FFABE9+a1b9Rm5u3MS+Naenk17rUhQf9vS6J789v/ 5tnAo8OSJ+LPIyyO3dq3lpW1c+3mE0+V7vLWN0wAqvDeugmTtsZJvkNsy/EvDnJlulTxsVc88jRP p0Tx2/q5WlhV/b/27js8imp94Pg7u5sOJIbQAwkBgQRCCaE3qdJEVAgKeikCigjoTy/qBUUBxXJB QASviIpgAURFEaWpeFXKBWlSQsAQEKSEGpJssrtzfn8EAiSzmw3sSPH7eXx8wuSdOXVm5fXsmfjW SXfHVDi/4sxgMrhvprvSnWmfjP8xcWz/an5uD/qg9MJy9y8Y1iw6MjoqMqb140sOO0VEziztVLLi 7Xd27dKpZf3G/d9LyTvb2yE2inTuf6NRRFyrxMrlEvr0bRtbLrL7u2lOERFxHFz0UIu4apUq1L7v 7d3ZbgsyvLmM7zivT/e+QwxnnfFwFB44d203qKfxwDnS5g9oXCOmWrVqMbXaPv7FHx6Wmf6tR9PN /e4to9ONSi/GU9HruWTGw0pEXCe+e7Zr/arhJarceWE0jT65rvbT0IjRpM34cUh0/PgduSIiroOz W1W6Y/FxvVidbMTgdOfBD3rGtJ6yK0ck89fnE6v1XXzE5abt4vxj8fBmMdHVa95aPa771F0e2m4Q aSBr7cPVGk1PdV74c+6uifViR2+2F+tBbTBwRoxvBKNmZv1v7O2Nbxv5Q/rPozs0SmwzfOUp5eZg MYbjBvrQBwAAAHDdU17btWuXx9/r6UvuLl9/ckpuEVFf9ipfbcTK406l9Ix92/6wK6XOLu9ZvuWH x3Sl1MlP25Tp8vUZpZRSzj9mN7KU7Ppeaq5SypmVkaMbHnQemt81ptucvXal9NNrRtRs8OKuHKXO Lu9Zqky/ZSd0Zd8+Li764bWZFyqwoHXZ7t+c8abJzrSZjav0//Hc+T869k1rVLrVmyk5yp48rYl/ 2L3fZXg623Xkg6Zi7fjVaY9lZP48pJxWokxEWHhU88Gzt2Xo3lSsCDdKJxenSkqd++nBqAaT93qe X0opb3veiCP1zaYRrWbssavc399qGXjpEBeYDEq5a6ab0s+tG3Vr3Jgt2R4O+qL0glxHPrk9ou6E rZlKz1j/dM2y9yw9oSt1+quOAWFJS9N15Tw0r1OlDvMOu5T3Q2wU6Uidnhg18Mfj/xsVE/XIuuM/ D63RYcFxXZ1Z1jUoqMO7aQ6Vu29myzKt3znoNC7I8OYyPOj96cXoEKNZ52E4Lh8447Yb96fhwLnO /ZGanqOUUjnJrzUoMM6MZlFP2ivnboy8fCp6P5fcV+HKH1bq7PKeJUt2/SAtV8/4ZVRMVP7jt/Dj wgefhoUev4aT1r51TGz1keszlcpNfjUhqv/qM8Xs5MLcnO46tnRgjYZjVi4bVaf2iO9PuS7GF2h7 7u6X4iMfWH1GKeXKPHrk3IXIwm13F1mAfuKLblXu+OqUK3P/xk0Hs13HPm4flbTijHHphgW5H7gC PNwIBgVd/jHq7qD3w3FDfegDAAAAuN756NuNjtT3+nUZsehk50/eqOrnMTJr5+K1tzywvHWEVURK xMSXKOLKYc0f6hntJyLWoBJW44Nnt32yJm3LwT4tZoqInpWV3eJortQSkaBbb08I08RSsU6ZzP+d dLorwmtZu7/dG31f96r+Yo3p1ifu5Q2ewy3lHlirHijqooHxz64/PqNKaUv6z6/c2fXO5xN2/jsh 8GoregN3sqcqecu7njeStfPrPdF9e8QEiLVyp95x49dewTUMS9ePfDX+86pPr60T6OGgL0ovKHvv yp0Rd/67ZrBoEn935xL3rU7N6RYuIsGx3RNv0cRSpmmnMs+s2JN9f4jXQ+w0iowSW2jF0IBSFcIj VFhAyXJBmcczdfEXCa6T1LGSTaxVbr8ncvyK5OwHSxmdXtHo5jK84zK9Pr0YHZI3AgXmvNvhKDya Bm3P3GXUn/6GlXIe+eaZ/u9sOKnZ1Mkdf1Y+miMSwmh6+6S9coalnx8jL56KmV7PJfeu/GElIhJc J6lDpJ9mqdEiMut9j49f3z+ojSZtQNygYRHt3/hl/Oyyc98712tes1Li5rPDQydfzs0YWcp0nfru dw1b9Qget2HtbWHuv8tlK9e0ReC/Hx/4WFKHlm27d2921ZFaqfpdKqasTjnsnNBxaPCCrY+u3B/d rU5RH7IFeDdwxfxPDq94P+dvqA99AAAAANc7HyWg/aoOXLij07zODaYuPdxraOWi/vJQ+EU4mohS IqJ0l37pby0BpUIKXa3wwcB6T3+57tHoS1uTIaJZrBZNRDTNqMgroVmsfnklW/2svvn2p6Vk5SgR ESnTfPAjtV+esf20nlDeIiKick8fO6mHlg0PvKKNUm6ITi5Olf7yb9v68H1NOTv/81Jyt5l3XbY5 uuFBM0o3vJhyOfK+0e1yuHSVF+H9EBeKdO4X0SwWzWK1WHSLZrFouvPCkF4sXbNoxqfLWeOby/iO 8/r04nSImxvB4ASjgTNsu0F/GsnZ/nK/l+2vrNt4ZwXbiUVtqk3XlRLRxHVw7p2tR/8vS0q0fnvD wjtLX2gVo1mw9VfxqHQ3Rl4+FeUK5pIPaVY/myYiFotWxBPD6we1m1lXcBDcTFpbdNKo2CnTliyv tDDowa/rnt+i2PtONizd+HRH+o6dmRFhOb/tPuVsEOz2JtPC2s78bef2/65euWRGz7HvT/ttyX0V jEfGTWShKtnKNWtp/ej7lRmufyRlLFmxcmvJdk+ULubMMxo4o7ab8J8cxRmOq/zQNxzN6/pDHwAA AIBpfLgHtDWibqPSp/ed8LB/qYgEx93T7OS8mT8cd4mozP2/Hc4REVt4VIn0nUdyRZ3dtjIl2+MF Cgup26dh2pszfjrhElH2g+u+Tz7n4S9Fmi0kRD9xJFMvZikiEhzbufrhbzac1EU/seGbPUXVU51d /+rDj0zf7jHOdSp5x6FsJaIydy7+YPctjWJDL4xJxncPRFXouuBY8Wt6o3Ry8apkLVku8NSeI15s VOpVzxsKjutWI23Btwcdkrt/2cIdWZ6jjZtZuHR18ruX3gsZ8USTS1fJGRw0o/Sg6h3ijn/x+a4s pTK2Llp2rl67qnnvucza9tG3Bx2Ss+/rz/6s2fHWoGIMcfEmQ9ZvC1b84ZDc/cs+PVTz9ppuCjK8 uQwPen968TqkEDfDYTiaxemlQgPnOpduD4utFWET15+r5v2av9O0tXL/palHjx49um/R+dzN3340 jV3xo7J4bS/E+7nk3pU/rHzA6BlSeNblHS7w+HU3aS1luzze8tdHBy6q9Mh9eTvbF6uTC5fu5vSs za/cOylkyoa147L+1W/GbvcfC/rZ1JRTofEd+v7fxOfuKJG656TLXdvdRBauUmD1jrUPzJia2nbA PxK3vT4nPaFtlPE3G9x2spdtL+6N4A2zngxeziWzPvQBAAAAXO98+RJCsVgtul7E37K00t3eWjTk zyfqV64SUz2h/7zUXBEJqjv8n7GLejRtd8eQ+ZkhnvfwKMxa8d65H/beNSw+MrJypWrt/7X8T485 8JJNn+ivnmtWu16jHpN3uPuLjTq5/JE2iU26Tdh4YPGgVonNe89IzhVb9KC3R2svtG3RocuAedlF 1lNl7/n8P28vTcv1FOQ89PmjjSKCgkJCyt72n/DnPp2YeOG19s7juw5Y693VJLz4Y3SDdHIxqxQQ O3RsizU9q0fXav/iNo+v7PKq5w3Zoga883zE5MZRMfUG/FghMsTPormZDO6bWah0x+/zx//S7NkH Yi5todFBM0q3lLv7rRnNv+5RLTKyxr1ru749vXP4+WWrFcK+TqpdpXLrOdUnzUqqaC3GEBdvMgSU C/u6T52oys1nVZ741r2V3BRkeHMZHvT+9OJ1SCGGw2E8msXrpYIDF5w4emzthfe06dyj5/Bvb4kM cb/s728/moau/FFZzMdaQd7PJfeu/GFlfDm3jwtD3j2oRQo/ft1OWi20+UNdQ5xNht9R6fzS3avr ZKPT9VPfPdX3g3qz3kqKrj5gzuRK0/uMW5ehjNvuPL5qTIeaUdHRVeIG7+396kP5u+AUarvbyEJK xHepfPxsYodadbrUOXbq1i6xwcV+UHvF8EYo5hB7059XGyki1/pDHwAAAMD1TlPK2xVfu3fvrlWr locA5/43mjT7YfzOT7vdwhcnr5p+ZH6nNt89vX5OhzB68y+kcrMcfsH+mjq9enCjZxus+PHRqle5 T825n4fXfzji840vxAcUcdCM0o2dWdop5rWhKWt6hZtx9ZuGwXDYjQfumvqbjyaPyuuLfetziXek Tdv+fvtQxgMAAAAAICI+2wM671qRvZ7v+9XY21p8OmbRO0mVeIvMVbGUv39V8v3XuhZ/P5nrnmgz +IecQKvLFjfi3QFF7t9btBIt3ty73auDZpSOq2AwHG4GDtcOj8rrx5lVg1o88JWr47Tlbcg+AwAA AADy+XIF9A0pN/Xztz9PvewbrFpwrXse7FqluJtUwC06GQAAAAAAAPhb+tsnoAEAAAAAAAAA5vDp SwgBAAAAAAAAALiABDQAAAAAAAAAwBQ+SkA79r9/f9PY6Fo9Z6bkFh0NAAAAAAAAALj5+SgB7Rc9 YP669f+pve69VUdcvrkkAAAAAAAAAOCG5sstOKwhoYF6jtPblxoCAAAAAAAAAG5mvkxA20pVCEz/ 7UAWGWgAAAAAAAAAgE8T0AFxQ5+q81m7KvEPLDzEPhwAAAAAAAAA8Ddn8+G1HL9/Mm1Lxy/3fdy9 tC/z2gAAAAAAAACAG5EvM8WO4ymnyzWuVYrsMwAAAAAAAADApwlopetKs1o0H14SAAAAAAAAAHCj 8mECWj/3R1pWSJkQq+8uCQAAAAAAAAC4YfkoAe3Y/36/5p0mBw17/vYyrIAGAAAAAAAAAIhoSikv Q3fv3l2rVi1TawMAAAAAAAAAuGnwwkAAAAAAAAAAgClIQAMAAAAAAAAATEECGgAAAAAAAABgChLQ AAAAAAAAAABTkIAGAAAAAAAAAJiCBDQAAAAAAAAAwBQkoAEAAAAAAAAApiABDQAAAAAAAAAwha1Y 0bt37zapHgAAAAAAAACAm4ymlLrWdQAAAAAAAAAA3ITYggMAAAAAAAAAYAoS0AAAAAAAAAAAU5CA BgAAAAAAAACYggQ0AAAAAAAAAMAUJKABAAAAAAAAAKYgAQ0AAAAAAAAAMAUJaAAAAAAAAACAKUhA AwAAAAAAAABMQQIaAAAAAAAAAGAKEtAAAAAAAAAAAFOQgAYAAAAAAAAAmIIENAAAAAAAAADAFCSg AQAAAAAAAACmIAENAAAAAAAAADCFCQnojBV3VWj10XFV+DeuA7OaRA34b2aRl8ja8d5rH+/N8Rzk 2D/3/hYJNUr51Z2yz3GFdf3r+Lbtvii9UEHuB849/fC7zSPv+/6cp4LEdXTp8IaRVarXbDjom5PK 00ET+Lg/b6xZBwAAAAAAAFxbf+kKaGv5u+d88Wz9oKLiVPaO9//9UVFJQ7/o/vN//u97SZVsvqqf mXzbdh+U/pcVJJKxftrC0KmbU5I3vdslXPN00Pd83cwba9YBAAAAAAAA15Y5CWjXie+e7Vq/aniJ KnfOTM7L/WVtGNOpUcMGCbdP2JJ9ISxjxV0RMUkDendr1yD61p55kVkb/tWpSft//nJs5SNtEhOb 3f36zuLlDh1p8wc0rhFTrVq1mFptH//iD4eIZPw4JDp+/I5cERHXwdmtKt2x+Lgu4jy6/NmutaOj q0ZH1+09bXNG3jJc16F3mpa77enHerRsmhhfu91Lv7kr3+B058EPesa0nrIrRyTz1+cTq/VdfMTl pu3i/GPx8GYx0dVr3lo9rvvUXR7abhBpIGvtw9UaTU91Xvhz7q6J9WJHb7Yble62kw0GzojK3P5m 79iy5arGtRqx5LAr/6qFm5n1v7G3N75t5A/pP4/u0CixzfCVp5Sbg8UYDqPIq5xLl6z+PrX4trJd l511WzoAAAAAAABM4TogCZpoUbLZbn5hDvniFXn6edme+VcUXezrO2RaE9Eqyk8Zl53rm3rqsmyU 1IwQTRNNk1kHLhzPkTEx5w/m/dP5a4/xmTIyUrSGkpzrsTjlc2eX9yxZsusHabl6xi+jYqIeXpt5 4TfOtJmNq/T/8dwlkaXK9Ft2Qlf27ePiovMj9fQFrct2/+aMF4Wd++nBqAaT9+bmH3Cd+yM1PUcp pXKSX2twvjT71jGx1Ueuz1QqN/nVhKj+q88o5Tw0v2tMtzl77Urpp9eMqNngxV05Sinl/GN2I0vJ ru+l5iqlnFkZObphwW5Odx1bOrBGwzErl42qU3vE96dcF+MLtD1390vxkQ+sPqOUcmUePXLuQmTh truLLEA/8UW3Knd8dcqVuX/jpoPZrmMft49KWnHGuHTDgtwPXAGOfdMalW71ZkqOsidPa+Ifdu93 Ge6aqZRS6uSnbcp0+brAcBY46P1wGEde5Vw6u7xn+ZYfHtMLVMzNZCg06wAAAAAAAHDV9FNq+mj1 xCR1yGF2Scp+SvUPVyLqw2NKKeVMUw1ESRX1a7avC8pVqvhNO7Vc3SIq/jWVe3ndfNNFTrVomOr3 kKrnp0TUzLQLx+3qX1WVhKjmeAdMAAARQUlEQVQhT6uxY9XYseqjFI/xSu2dqkTUPV8q4xSqUkop c1ZAB9dJ6hDpp5Wo0SIy68BJp4fIoFtvTwjTJKBinTKZniO95TzyzTNdG9ZPSGzeZ+aOP1OP5ohI QNygYRFfvvHLGfuuue+d6zWiWSmRzG2frEnbMrVPi8TERu0fW5WVnXo0P1Uf1vyhntF+ImINKuFv vD2Em9MtZbpOfbfNgk49vu817+Xbwtx3r61c0xaBXz8+8LEXZ322JSc0+KojtVL1u1RMWZ1yeMWI jp2f/O/R5JX7o7vVKeFNl13k3cBl7f52b/R93av6S0BMtz5xRW4r4g3vh8NtpO/nkkHpvroqAAAA AAAACtDPynuvyuRZctQpzlSpp4lWTkb1kRKahNSWd9bIyKaiaRLRXFYcv7AWOEKG3yuhmmjh8shC ycsSpX4mXWqKpolmk/q95ftjIvlrkMvKo0lSyiKBt8jckyIi/cqKpsmSM5fUI1NGNZKSVtE00UKk 9XDZmy1L7hZNk74rRInk7pJYTbR6kuKQ/Z9L11jRNNH8JPEB2XC6YEGt54l+edP0EzK+m4Rqomli C5U2z0p2gY5Q8t1UOSUy8C7xc99F+T0w8n4J10QLleFfSF5OrHCtLmOVXjNl/hRpHGY0DBVk8Ch5 4hmZMEHuq15EfFQPqS+y5HU5qrsdVnMS0JrVz6aJiMWiief3y2kWq0UTEU0Tz5Gug3O7Vy1Xrly5 ar2XnLgYWTAhmLP95X4v20cs3fjrxo2rXmkarOtKiYgtOmlU7E/TliyfuTDowaF1z6dMA+s9/eW6 jRs3btz4684Du2a3uZCttQSUCrEWXbrx6Y70HTszI8JO/bb7lKccqBbWduZvO+cNaxy4c0bP+r0+ +dNVzMhCVbKVa9bSuuH7lUtd/0jKWLJi5daS7RJLF3N8jQbOqO2axeqX10NWP6uvkrLeD4dx5NXN JU1EKRFRuku/9OzCpReedQAAAAAAADDFMflGk4e7StZOGXKbbKwvQxPlxFoZ+fb5XLOckN2x8uH7 Uu+szOoncw9I9q/S6R75Nk2GTZaJvWXrp3J7b0nLz9Mdl8XnZNy/Zfg/pWmAiMhDM+SDjyUx+JJC LVLnbnl7iaz6Via1k//OlAcXSvsxUkVk8atyRJfkj2S3SJv/k4q/Sae75VuLvLVEPhkryfOl42BJ 1y8p6HUZWrdgLunPL2TcMik/UpZ9I++/KI0jCrU6Sz5fK1JemlXwootOyNrSMnWihJ6VmY/JdrvY N7uvlTf2SpMKckuIlGkui/YXEWsrL60riXPD+Z1MjGO8LvkvpNlCQvQTRzJ1KZWfQLVW7r80tX+h UGvJcoGn9hzJkWp5/zfAdS7dHhZbK8Imrj9Xzfv13IU4S9kuj7d84p6BvyS8tiUvNKRun4ZpL874 6b5XbittsR9cvzarzm01S7hJLRYu3c3pWZtfuXdSyJQNazOHd+w3o8Hyx2oFGF9RP5u6N6tCfIe+ 8Y3K7/xyxJ6TLqlgNWy7m8jCVQqs3rH2gcFTA0fOnZQxcuic9IYfR/kXr5O9bHtwbOfqh7/ZcHLQ XaVPbPhmT3Ypj+d7x/vhMI50d10v55ItPKpE+s4juVLGvm1lSsH/6VRQwVkHAAAAAAAAU4TKrNnS dLO8u0xOVZfZ06TCV/J2bzmy80ICOkJeeFJahohjvty9Shb+Ks23yF6R8g/K5P+ToJOyZrGs/FF+ OSlJefEl5N2PpEuYSKYMmCPrcqR1kvQtI64DF8vUHZKTLC+/Jqmnzq9yTF4nln7ydFN5ZLV8tEOO zRMpIU/cIfunS4qI7JSH77xw8hrZnX15QYWEVJYwkT3vy8QUiW8gdz0ogZcHqCz5/bRIbSntTe6p tEx5SVo55cPnZcUROZor/kuMa9UypKhLWaThAHmtokQFy08zZfrP0neANF8tlQquzryEn1QtLXJI 0s6KlHR31b+EOrn8kTaJTbpN2Hhg8aBWic17z/C4NXXJpk/0V881q12vUY/JOzy+9y0gdujYFmt6 Vo+u1f7FbXaR4MTRY2svvKdN5x49h397S2RIfgZTC23+UNcQZ5Phd5zvMWvFe+d+2HvXsPjIyMqV qrX/1/I/HcVpkdHp+qnvnur7Qb1ZbyVFVx8wZ3Kl6X3GrctQxm13Hl81pkPNqOjoKnGD9/Z+9aFa F3LFhdruNrKQEvFdKh8/m9ihVp0udY6durVLbLCnnve+kwuyRQ96e7T2QtsWHboMmJcdkncjFHOI venPq40UEW+bGVR3+D9jF/Vo2u6OIfMzQ4q6tQvOOgAAAAAAAJgiVML9RPMTPxEJl3A/0TQREZW/ ntchubqIEruX6a1wKX8h3evuS+6/z5YRcyW9qazeJj+MFxFxOUTZpM+zEiryygiZkybl+krb8PPx ZfrJ+q2ydats3SpbfpAGQRcLcuaI3S4FFh+HdZTNq+XFIRKl5MOXpHMzWZt1WYBmk0CLSK44PO8t kSdESlhFNLFZRNTFfQGMa+WZn9z9nDw5WHr3lZdelggRZ4oc8pzi0yU7V0Qk2H1CTVPKm3bcBOxb n0u8I23a9vfbh7KDAgAAAAAAAHCdcR2QRlGyuYr8mizxf0rDGNlWRX5NlpqbpWpzOdZYDq+VwM8l vJeUulcOvCJto2SzSOwDMjhKpkyUQzZ5e5/cf0LqJsjeAHloglTcJOMWiF9rSVktkYcvXrxBoIhd nqwhkw9KjwmSVE9uj5dOVc//NmiKxI6RiPtk5dMyr69M2SERD8r+dyTELv+qLZN+FxEZs1Um1hX7 ZqmbICmBMvJ1aXeL7FwjC0/Kd69K+7yCNss7tWXmEZn9hwx0XSz91s3y1FJpmiClnfLqIFnjkqVH pVvoJR2RI2Pj5MUjsuywdAm9rFvqHjP+uUGudCsjy0SWHZe2+wxqteYTuXQXg31fyfJ98sHTsj5H ek+QdlXlrj4Slizdh0rNDlKjlPwyRxbskpJ3ye+fSoTFOL6cTeSs9K4kn4bJxhRpWGAh9wV/0Qro a+zMqkF1qnZYlPDyhDZknwEAAAAAAICbRFnprMv4iXIoTB6eL/2rSFADWfGpdKos/xkt4xZJ/D3y 7SKJKrwPcaA8OFqi/OTLZ+X+R2X/Jet8bx0io1tI+seS2FnS6152yrBnxCoiCTIoTkQksIGs+Ey6 VpU3hknPe2XyKqnfRgw35FW6KBHRRBPRNNm1SIb0km73ytpQGfimtAu9PDpAevUSyZLF266kS4qu lZJ1k2T447I+R0Rk0bMy7HHZlyu20pIYLp9NllFPyoL90rS/rJgjERa38SKS+Zv895xUvEti3WSf 5e+0AhoAAAAAAADATeLSdcEN3Gc/fUaXlPXy0wcy6C3ptkC+TCrGwl5nuqx4V/o8JeeaysGfJNLD lsr5p6RJu+qytaekLpTw63ZBrZJv+0qXhTJ9j4yo5jbqunwJIQAAAAAAAABcP7Llxe4y96TED5Q3 exZvW4nTq6TbU2KrLJOmeXyh3yVsUfL2HJm1Uw5lSXiRLw+8VrLlULQ8M0cGu88+CyugAQAAAAAA AAAmse3evfta1wEAAAAAAAAAcBNiBTQAAAAAAAAAwBTF2q4EAAAAAAAAAABvkYAGAAAAAAAAAJiC BDQAAAAAAAAAwBQkoAEAAAAAAAAApiABDQAAAAAAAAAwBQloAAAAAAAAAIApSEADAAAAAAAAAExB AhoAAAAAAAAAYAoS0AAAAAAAAAAAU5CABgAAAAAAAACYggQ0AAAAAAAAAMAUJKABAAAAAAAAAKYg AQ0AAAAAAAAAMAUJaAAAAAAAAACAKUhAAwAAAAAAAABMQQIaAAAAAAAAAGAKEtAAAAAAAAAAAFOQ gAYAAAAAAAAAmIIENAAAAAAAAADAFCSgAQAAAAAAAACmIAENAAAAAAAAADAFCWgAAAAAAAAAgClI QAMAAAAAAAAATEECGgAAAAAAAABgChLQAAAAAAAAAABTkIAGAAAAAAAAAJiCBDQAAAAAAAAAwBQk oAEAAAAAAAAApiABDQAAAAAAAAAwBQloAAAAAAAAAIApSEADAAAAAAAAAExBAhoAAAAAAAAAYAoS 0AAAAAAAAAAAU5CABgAAAAAAAACYggQ0AAAAAAAAAMAUJKABAAAAAAAAAKYgAQ0AAAAAAAAAMAUJ aAAAAAAAAACAKUhAAwAAAAAAAABMQQIaAAAAAAAAAGAKEtAAAAAAAAAAAFOQgAYAAAAAAAAAmIIE NAAAAAAAAADAFCSgAQAAAAAAAACmIAENAAAAAAAAADAFCWgAAAAAAAAAgClsmzZtutZ1AAAAAAAA AADchDSn03mt6wAAAAAAAAAAuAmxBQcAAAAAAAAAwBQkoAEAAAAAAAAAprDl/3Ts2LHZs2fv379f 13XDUIvFEh0dPXTo0DJlyvxV1QMAAAAAAAAAXBey0w7seeyJjM2blcN4Y2fNz1YyIaHmtCmBlSPP H8nfA3r8+PEhISHNmjWzWq2GJzudzrVr19rt9rFjx5pRewAAAAAAAADAdet/PXuHRFWt0KW7ZrMZ BiiH48g3SzMPpiV+vjDvyMW45OTk9u3bp6SkeCggPDz8+++/L7IeR9Kd5SOMawAAAAAAAAAAuBEd 3bQxPrF1xubfPMQEla38+xef5v/xYprY6XS6XK68BdEul6vARhwWiyVvZXRubq7nSuTkqiemHh9y V+htDYOvoA0AAAAAAAAAgOtQttNpy7mYH1ailDr/s6aJJpqIWEWyLtmgo2AC2uVyjRw50vDqkydP 9vPzKzIBHeCv3dkm+J0v0itFlL81yv9K2wIAAAAAAAAAuI7YlW6xZ+f9rESUrgc3TVBKZazd5Gex aBaLdiEs/5TLEtB5Jk2aZLfbnU5nfvpa0zSbzRYYGCgi7l5ReKmkjqHrtp2e+E7a609Gh4f6+ax9 AAAAAAAAAIBrxC7Kmm3P+1lXSouqGNahlYjK2Pu7I+1QkM3Poml5YfmnXJaA1nVd1/VnnnnG8OoT Jkyw2Wz5Ly307J//qPDopN+fen3vrLG1bDbtytsEAAAAAAAAALgO2JWy5OSIiK6UKlWi3OB+e15/ y6X0mo8PS3v+NUdGVoDVatE0uzJKQDscjrwfXnjhhezs7AJbbfj7+wcFBem6nh/mmVJ6Tq4z11H0 cmkAAAAAAAAAwPUvWylrjl0XpWta6eHDDy34/OSWbUrUgY8XVxo5+OBzk/w0m9VqyXaXgFZKKaXG jRtnePUXXnhB0zQvE9DPzdijKceUJ+uw/BkAAAAAAAAAbgJ2pSw5ubqul3r4H0E1qkfXqB796OD8 30YM7Jsxa66f1Wa8AlrXdU3TLBbLxIkTHQ5Hga02rFarv7+/xWLxZg/oOZ+lpaSdm/VcndK3BPii XQAAAAAAAACAa8wuyuLI1XT9xNS3fn9tepbLKSKanN/yOdhqC/Xz13TdeA/ovD03LBZLXqLZ39/f 5XLl/cpqtWqaZrVaLRZLga05DCqR43p/8b6nh8TGVSvl4/YBAAAAAAAAAK4Ru9I1e45VqQDdVUpX gbqmROWloDXR/EUFKIfVotvVxUXMBbfgsFgsfn5+FotFXbJMWkTyEtB5byn0XInAAOvHk5tGlg/2 bdsAAAAAAAAAANdQrsXiysmyWa0WpfxF6edXOp//t0WUVdddzlyHxZJ/ysUEdFxc3KZNm2rWrGm5 5NeX0nV9165dsbGxRdaD7DMAAAAAAAAA3GQq16+76timDmX9bVbNIiLWggFOXa1Kz62SUC//iJa/ 1/OhQ4eeeuqpLVu2uFvjbLFYEhISJk2aVKlSJVOqDwAAAAAAAAC4Xh0/cOCtwYOSt2xxOV2GAVab tVaDBg/NnlOmSpW8I1qBlw0CAAAAAAAAAOATxrttAAAAAAAAAABwlUhAAwAAAAAAAABM8f98CBlS wY3BxQAAAABJRU5ErkJggg== --001a1135961484b767051bd8db58-- From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: by yocto-www.yoctoproject.org (Postfix, from userid 118) id DCA6BE00A26; Mon, 27 Jul 2015 03:39:16 -0700 (PDT) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on yocto-www.yoctoproject.org X-Spam-Level: X-Spam-Status: No, score=-2.7 required=5.0 tests=BAYES_00,DKIM_SIGNED, DKIM_VALID,DKIM_VALID_AU,FREEMAIL_FROM,HTML_MESSAGE,RCVD_IN_DNSWL_LOW autolearn=ham version=3.3.1 X-Spam-HAM-Report: * -0.7 RCVD_IN_DNSWL_LOW RBL: Sender listed at http://www.dnswl.org/, low * trust * [209.85.220.174 listed in list.dnswl.org] * 0.0 FREEMAIL_FROM Sender email is commonly abused enduser mail provider * (sujith.h[at]gmail.com) * -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% * [score: 0.0000] * 0.0 HTML_MESSAGE BODY: HTML included in message * -0.1 DKIM_VALID_AU Message has a valid DKIM or DK signature from author's * domain * 0.1 DKIM_SIGNED Message has a DKIM or DK signature, not necessarily * valid * -0.1 DKIM_VALID Message has at least one valid DKIM or DK signature Received: from mail-qk0-f174.google.com (mail-qk0-f174.google.com [209.85.220.174]) by yocto-www.yoctoproject.org (Postfix) with ESMTP id 7B736E0049B for ; Mon, 27 Jul 2015 03:39:12 -0700 (PDT) Received: by qkdl129 with SMTP id l129so37692411qkd.0 for ; Mon, 27 Jul 2015 03:39:12 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:from:date:message-id:subject:to :cc:content-type; bh=ZkUzypwUeP48OIk/DkDs18w8x9yDjwCkuQJJzXkCacQ=; b=E1cUehRyGY211JFXLvORWNDTD7S1fzH1lJ/rJeOmzZfZqvPOd6Ccl7/QwYHRttgcz0 IGzbxIwk8BpY0Ew2DelZx8SZRgI5wc89iuSvi0Wb1W82Nr7gaRLMT2+dC1TZGbbJzQS4 lNavL3i0i4Y01tWQvKAxJXMVPK4Sp/zfjoFaUb4QxC4XUzG5KegBLWUCSJMpC7M3D/Tm Ke8mA6MijcSscbPd0EVVsfuGR8jusqeQbvCIduZgfcM6yX1uoCaTBXlPOvx3zgUTkU4e nAanuu1jH84BixKyext8aUKIxBZXcKYwN7U1df3SMdoj0Ic7qS/2Oq9KWu7w18Dh8gh5 tPRw== X-Received: by 10.55.33.151 with SMTP id f23mr38083114qki.83.1437993551996; Mon, 27 Jul 2015 03:39:11 -0700 (PDT) MIME-Version: 1.0 Received: by 10.96.138.226 with HTTP; Mon, 27 Jul 2015 03:38:52 -0700 (PDT) In-Reply-To: References: From: sujith h Date: Mon, 27 Jul 2015 16:08:52 +0530 Message-ID: To: "Barros Pena, Belen" Cc: "toaster@yoctoproject.org" Subject: Re: Usage of already cloned layers in toaster X-BeenThere: toaster@yoctoproject.org X-Mailman-Version: 2.1.13 Precedence: list List-Id: Web based interface for BitBake List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 27 Jul 2015 10:39:16 -0000 Content-Type: multipart/alternative; boundary=001a1144d354db2e25051bd8f649 --001a1144d354db2e25051bd8f649 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable On Mon, Jul 27, 2015 at 3:59 PM, Barros Pena, Belen < belen.barros.pena@intel.com> wrote: > I've opened https://bugzilla.yoctoproject.org/show_bug.cgi?id=3D8051 to > track this. > Thank you Belen. If some guidance can be given then may be I can also debug on this ( Since I am in learning phase ). A small thought though: If repos are provided locally then name shouldn't matter, as far as layer name is unique or consistent throughout, right? Pardon me if I am completely wrong :) Thanks, Sujith H > > Bel=C3=A9n > > On 27/07/2015 11:09, "toaster-bounces@yoctoproject.org on behalf of Barro= s > Pena, Belen" belen.barros.pena@intel.com> wrote: > > > > > > >On 27/07/2015 07:54, "sujith h" wrote: > > > >> > >> > >>On Fri, Jul 24, 2015 at 6:36 PM, Barros Pena, Belen > >> wrote: > >> > >> > >> > >>On 24/07/2015 13:57, "sujith h" wrote: > >> > >> > >>* Which version of Yocto Project you are using (fido or master)? > >> > >>I am using fido branch. > >> > >> > >>* Which release you have selected for your project? > >> > >> > >>In the release I have selected "Local Yocto Project" > >> > >> > >>* If you click the "view all compatible layers" link and in that page y= ou > >>search for meta-oe, do you get any results? > >> > >>I can see only "meta-yocto-bsp", "meta-yocto" and "openembedded-core". > >>Attached screenshot of the same. > >> > >> > >>Also attaching screenshot of page where I try to import meta-oe from my > >>locally cloned location. > >> > >> > >>Below is the file structure I have: > >> > >>sujith@kdekid:~/MEL/homework$ pwd > >>/home/sujith/MEL/homework > >>sujith@kdekid:~/MEL/homework$ ls -l > >>total 5180 > >>drwxrwxr-x 19 sujith sujith 4096 Jun 12 18:40 meta-oe-local > >>drwxrwxr-x 19 sujith sujith 4096 Jul 24 18:04 meta-openembedded-loca= l > >>drwxrwxr-x 8 sujith sujith 4096 Jul 24 18:02 meta-qt5-local > >>drwxrwxr-x 11 sujith sujith 4096 Jul 27 12:07 poky > >>drwxrwxr-x 2 sujith sujith 4096 Jul 27 12:08 toaster_build_artifact= s > >>-rw-r--r-- 1 sujith sujith 5277696 Jul 27 12:19 toaster.sqlite > >>drwxrwxr-x 6 sujith sujith 4096 Jul 24 16:25 venv > >>sujith@kdekid:~/MEL/homework$ > >> > > > >Right, I've managed to reproduce this. Looking at the browser console, i= t > >might be a problem with the javascript doing the layer name validation. = If > >you change the layer name to something completely random that does not > >exist in the Toaster database (something like meta-xyz), can you import > >the layer? > > > >Cheers > > > >Bel=C3=A9n > > > >> > >> > >>Let me know if more details are required. > >> > >> > >> > >>Thanks, > >> > >>Sujith H > >> > >> > >> > >> > >>-- > >>=E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0=B4= =B0=E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D > >>Bangalore > >>Contributor to KDE project > >>http://fci.wikia.com/wiki/Anti-DRM-Campaign > >> http://sujithh.info > >> > >> > >> > > > >-- > >_______________________________________________ > >toaster mailing list > >toaster@yoctoproject.org > >https://lists.yoctoproject.org/listinfo/toaster > > --=20 =E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0=B4=B0= =E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D Bangalore Contributor to KDE project http://fci.wikia.com/wiki/Anti-DRM-Campaign http://sujithh.info --001a1144d354db2e25051bd8f649 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable


On Mon, Jul 27, 2015 at 3:59 PM, Barros Pena, Belen &= lt;belen.b= arros.pena@intel.com> wrote:
https://bugzilla.yoctoproj= ect.org/show_bug.cgi?id=3D8051 to
track this.

Thank you Belen. If some gu= idance can be given then may be I can also debug on this ( Since I am in le= arning phase ). A small thought though:
If repos are provided= locally then name shouldn't matter, as far as layer name is unique or = consistent throughout,
right? Pardon me if I am completely wr= ong :)

Thanks,
Sujith H
=C2= =A0

Bel=C3=A9n

On 27/07/2015 11:09, "toaster-bounces@yoctoproject.org on behalf of Barros
Pena, Belen" <t= oaster-bounces@yoctoproject.org on behalf of
belen= .barros.pena@intel.com> wrote:

>
>
>On 27/07/2015 07:54, "sujith h" <sujith.h@gmail.com> wrote:
>
>>
>>
>>On Fri, Jul 24, 2015 at 6:36 PM, Barros Pena, Belen
>><belen.barros.pen= a@intel.com> wrote:
>>
>>
>>
>>On 24/07/2015 13:57, "sujith h" <sujith.h@gmail.com> wrote:
>>
>>
>>* Which version of Yocto Project you are using (fido or master)? >>
>>I am using fido branch.
>>
>>
>>* Which release you have selected for your project?
>>
>>
>>In the release I have selected "Local Yocto Project"
>>
>>
>>* If you click the "view all compatible layers" link and = in that page you
>>search for meta-oe, do you get any results?
>>
>>I can see only "meta-yocto-bsp", "meta-yocto" a= nd "openembedded-core".
>>Attached screenshot of the same.
>>
>>
>>Also attaching screenshot of page where I try to import meta-oe fro= m my
>>locally cloned location.
>>
>>
>>Below is the file structure I have:
>>
>>sujith@kdekid:~/MEL/homework$ pwd
>>/home/sujith/MEL/homework
>>sujith@kdekid:~/MEL/homework$ ls -l
>>total 5180
>>drwxrwxr-x 19 sujith sujith=C2=A0 =C2=A0 4096 Jun 12 18:40 meta-oe-= local
>>drwxrwxr-x 19 sujith sujith=C2=A0 =C2=A0 4096 Jul 24 18:04 meta-ope= nembedded-local
>>drwxrwxr-x=C2=A0 8 sujith sujith=C2=A0 =C2=A0 4096 Jul 24 18:02 met= a-qt5-local
>>drwxrwxr-x 11 sujith sujith=C2=A0 =C2=A0 4096 Jul 27 12:07 poky
>>drwxrwxr-x=C2=A0 2 sujith sujith=C2=A0 =C2=A0 4096 Jul 27 12:08 toa= ster_build_artifacts
>>-rw-r--r--=C2=A0 1 sujith sujith 5277696 Jul 27 12:19 toaster.sqlit= e
>>drwxrwxr-x=C2=A0 6 sujith sujith=C2=A0 =C2=A0 4096 Jul 24 16:25 ven= v
>>sujith@kdekid:~/MEL/homework$
>>
>
>Right, I've managed to reproduce this. Looking at the browser conso= le, it
>might be a problem with the javascript doing the layer name validation.= If
>you change the layer name to something completely random that does not<= br> >exist in the Toaster database (something like meta-xyz), can you import=
>the layer?
>
>Cheers
>
>Bel=C3=A9n
>
>>
>>
>>Let me know if more details are required.
>>
>>
>>
>>Thanks,
>>
>>Sujith H
>>
>>
>>
>>
>>--
>>=E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0= =B4=B0=E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D
>>Bangalore
>><Project>Contributor to KDE project
>>http://fci.wikia.com/wiki/Anti-DRM-Campaign >><Blog> http://sujithh.info
>>
>>
>>
>
>--
>_______________________________________________
>toaster mailing list
>toaster@yoctoproject= .org
>https://lists.yoctoproject.org/listinfo/toaster




--
=E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0= =B4=B0=E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D
Bangalore<Project>Contributor to KDE project
http://fci.wikia.com/wiki/Ant= i-DRM-Campaign
<Blog> http://sujithh.info
--001a1144d354db2e25051bd8f649-- From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: by yocto-www.yoctoproject.org (Postfix, from userid 118) id 44A46E00A26; Mon, 27 Jul 2015 03:59:32 -0700 (PDT) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on yocto-www.yoctoproject.org X-Spam-Level: X-Spam-Status: No, score=-6.9 required=5.0 tests=BAYES_00,RCVD_IN_DNSWL_HI autolearn=ham version=3.3.1 X-Spam-HAM-Report: * -5.0 RCVD_IN_DNSWL_HI RBL: Sender listed at http://www.dnswl.org/, high * trust * [192.55.52.115 listed in list.dnswl.org] * -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% * [score: 0.0000] Received: from mga14.intel.com (mga14.intel.com [192.55.52.115]) by yocto-www.yoctoproject.org (Postfix) with ESMTP id 612D9E0049B for ; Mon, 27 Jul 2015 03:59:30 -0700 (PDT) Received: from orsmga002.jf.intel.com ([10.7.209.21]) by fmsmga103.fm.intel.com with ESMTP; 27 Jul 2015 03:59:30 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.15,553,1432623600"; d="scan'208";a="771835599" Received: from irsmsx151.ger.corp.intel.com ([163.33.192.59]) by orsmga002.jf.intel.com with ESMTP; 27 Jul 2015 03:59:29 -0700 Received: from irsmsx110.ger.corp.intel.com ([169.254.15.29]) by IRSMSX151.ger.corp.intel.com ([169.254.4.151]) with mapi id 14.03.0224.002; Mon, 27 Jul 2015 11:59:28 +0100 From: "Barros Pena, Belen" To: sujith h Thread-Topic: [Toaster] Usage of already cloned layers in toaster Thread-Index: AQHQxfb2MbKWRS2cgk2AvnWGaWcY553qhAEAgAATL4CABD5egIAAR0mAgAAFW4D///H4AIAAFoIA Date: Mon, 27 Jul 2015 10:59:28 +0000 Message-ID: References: In-Reply-To: Accept-Language: en-US X-MS-Has-Attach: X-MS-TNEF-Correlator: user-agent: Microsoft-MacOutlook/14.5.3.150624 x-originating-ip: [10.237.224.80] MIME-Version: 1.0 Cc: "toaster@yoctoproject.org" Subject: Re: Usage of already cloned layers in toaster X-BeenThere: toaster@yoctoproject.org X-Mailman-Version: 2.1.13 Precedence: list List-Id: Web based interface for BitBake List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 27 Jul 2015 10:59:32 -0000 Content-Language: en-US Content-Type: text/plain; charset="utf-8" Content-ID: <401CD7A666635C4194D346D8AE52524C@intel.com> Content-Transfer-Encoding: base64 DQoNCk9uIDI3LzA3LzIwMTUgMTE6MzgsICJzdWppdGggaCIgPHN1aml0aC5oQGdtYWlsLmNvbT4g d3JvdGU6DQoNCj4NCj4NCj5PbiBNb24sIEp1bCAyNywgMjAxNSBhdCAzOjU5IFBNLCBCYXJyb3Mg UGVuYSwgQmVsZW4NCj48YmVsZW4uYmFycm9zLnBlbmFAaW50ZWwuY29tPiB3cm90ZToNCj4NCj5J J3ZlIG9wZW5lZCANCj5odHRwczovL2J1Z3ppbGxhLnlvY3RvcHJvamVjdC5vcmcvc2hvd19idWcu Y2dpP2lkPTgwNTENCj48aHR0cHM6Ly9idWd6aWxsYS55b2N0b3Byb2plY3Qub3JnL3Nob3dfYnVn LmNnaT9pZD04MDUxPiB0bw0KPnRyYWNrIHRoaXMuDQo+DQo+DQo+DQo+DQo+VGhhbmsgeW91IEJl bGVuLiBJZiBzb21lIGd1aWRhbmNlIGNhbiBiZSBnaXZlbiB0aGVuIG1heSBiZSBJIGNhbiBhbHNv DQo+ZGVidWcgb24gdGhpcyAoIFNpbmNlIEkgYW0gaW4gbGVhcm5pbmcgcGhhc2UgKS4NCg0KU3Vy ZS4gSSd2ZSBhc3NpZ25lZCB0aGUgaXNzdWUgdG8gTWljaGFlbCBiZWNhdXNlIGhlIG5vcm1hbGx5 IHdvcmtzIG9uIHRoaXMNCmtpbmQgb2YgdGhpbmcsIGJ1dCBmZWVsIGZyZWUgdG8gdGFrZSBpdCBv ciB3b3JrIHdpdGggaGltIDopDQoNCj4gQSBzbWFsbCB0aG91Z2h0IHRob3VnaDoNCj4NCj5JZiBy ZXBvcyBhcmUgcHJvdmlkZWQgbG9jYWxseSB0aGVuIG5hbWUgc2hvdWxkbid0IG1hdHRlciwgYXMg ZmFyIGFzIGxheWVyDQo+bmFtZSBpcyB1bmlxdWUgb3IgY29uc2lzdGVudCB0aHJvdWdob3V0LA0K Pg0KPnJpZ2h0PyBQYXJkb24gbWUgaWYgSSBhbSBjb21wbGV0ZWx5IHdyb25nIDopDQoNCllvdSBh cmUgbm90IHdyb25nIGF0IGFsbCEgOikgV2UgaGFkIGxvdHMgb2YgZGlzY3Vzc2lvbnMgYXMgdG8g aG93IHRoaXMNCnNob3VsZCB3b3JrLiBJZiBJIHJlbWVtYmVyIGNvcnJlY3RseSwgdGhlIGNvbWJp bmF0aW9uIG9mIGxheWVyIG5hbWUgKyBnaXQNCnVybCBzaG91bGQgYmUgdW5pcXVlLiBZb3UgY291 bGQgaW4gdGhlb3J5IGhhdmUgdHdvIGxheWVycyB3aXRoIHRoZSBzYW1lDQpuYW1lIGFzIGxvbmcg YXMgdGhleSBwb2ludCB0byBkaWZmZXJlbnQgZ2l0IHJlcG9zOyBhbmQgZXZlbiB0d28gbGF5ZXJz DQpwb2ludGluZyB0byB0aGUgc2FtZSBnaXQgcmVwbyBhcyBsb25nIGFzIHRoZXkgaGF2ZSBkaWZm ZXJlbnQgbmFtZXMuIEJ1dCB3ZQ0Kd2VyZSBoYXZpbmcgdHJvdWJsZSBpbXBsZW1lbnRpbmcgdGhp cywgc28gdG8gc2ltcGxpZnkgdGhpbmdzIGEgbGl0dGxlIGJpdCwNCndlIHNldCBhIHJ1bGUgc2F5 aW5nIHRoYXQgbGF5ZXIgbmFtZXMgd2l0aGluIGEgY2VydGFpbiBwcm9qZWN0IHNob3VsZCBiZQ0K dW5pcXVlLiBUaGUgYnVnIHlvdSBmb3VuZCBzZWVtcyBjb25uZWN0ZWQgdG8gdGhpcywgc2luY2Ug aXQgbG9va3MgbGlrZQ0KVG9hc3RlciBtaWdodCBiZSBjb21wbGFpbmluZyBhYm91dCBsYXllciBu YW1lcyBleGlzdGluZyBpbiBvdGhlciBwcm9qZWN0cy4NCg0KVGhpcyBkb2Vzbid0IG1lYW4gdGhp cyBpcyB0aGUgcmlnaHQgdGhpbmcgdG8gZG8gdGhvdWdoOiB3ZSBzaG91bGQgcHJvYmFibHkNCnRo aW5rIGFib3V0IHRoaXMgYWdhaW4gYXQgc29tZSBwb2ludC4gSWYgeW91IGhhdmUgYW55IGlkZWFz LCBsZXQgdXMga25vdyA6KQ0KDQpCZWzDqW4NCg0KDQo+DQo+DQo+VGhhbmtzLA0KPg0KPlN1aml0 aCBIDQo+DQo+IA0KPg0KPg0KPg0KPkJlbMOpbg0KPg0KPk9uIDI3LzA3LzIwMTUgMTE6MDksICJ0 b2FzdGVyLWJvdW5jZXNAeW9jdG9wcm9qZWN0Lm9yZyBvbiBiZWhhbGYgb2YgQmFycm9zDQo+UGVu YSwgQmVsZW4iIDx0b2FzdGVyLWJvdW5jZXNAeW9jdG9wcm9qZWN0Lm9yZyBvbiBiZWhhbGYgb2YN Cj5iZWxlbi5iYXJyb3MucGVuYUBpbnRlbC5jb20+IHdyb3RlOg0KPg0KPj4NCj4+DQo+Pk9uIDI3 LzA3LzIwMTUgMDc6NTQsICJzdWppdGggaCIgPHN1aml0aC5oQGdtYWlsLmNvbT4gd3JvdGU6DQo+ Pg0KPj4+DQo+Pj4NCj4+Pk9uIEZyaSwgSnVsIDI0LCAyMDE1IGF0IDY6MzYgUE0sIEJhcnJvcyBQ ZW5hLCBCZWxlbg0KPj4+PGJlbGVuLmJhcnJvcy5wZW5hQGludGVsLmNvbT4gd3JvdGU6DQo+Pj4N Cj4+Pg0KPj4+DQo+Pj5PbiAyNC8wNy8yMDE1IDEzOjU3LCAic3VqaXRoIGgiIDxzdWppdGguaEBn bWFpbC5jb20+IHdyb3RlOg0KPj4+DQo+Pj4NCj4+PiogV2hpY2ggdmVyc2lvbiBvZiBZb2N0byBQ cm9qZWN0IHlvdSBhcmUgdXNpbmcgKGZpZG8gb3IgbWFzdGVyKT8NCj4+Pg0KPj4+SSBhbSB1c2lu ZyBmaWRvIGJyYW5jaC4NCj4+Pg0KPj4+DQo+Pj4qIFdoaWNoIHJlbGVhc2UgeW91IGhhdmUgc2Vs ZWN0ZWQgZm9yIHlvdXIgcHJvamVjdD8NCj4+Pg0KPj4+DQo+Pj5JbiB0aGUgcmVsZWFzZSBJIGhh dmUgc2VsZWN0ZWQgIkxvY2FsIFlvY3RvIFByb2plY3QiDQo+Pj4NCj4+Pg0KPj4+KiBJZiB5b3Ug Y2xpY2sgdGhlICJ2aWV3IGFsbCBjb21wYXRpYmxlIGxheWVycyIgbGluayBhbmQgaW4gdGhhdCBw YWdlDQo+Pj55b3UNCj4+PnNlYXJjaCBmb3IgbWV0YS1vZSwgZG8geW91IGdldCBhbnkgcmVzdWx0 cz8NCj4+Pg0KPj4+SSBjYW4gc2VlIG9ubHkgIm1ldGEteW9jdG8tYnNwIiwgIm1ldGEteW9jdG8i IGFuZCAib3BlbmVtYmVkZGVkLWNvcmUiLg0KPj4+QXR0YWNoZWQgc2NyZWVuc2hvdCBvZiB0aGUg c2FtZS4NCj4+Pg0KPj4+DQo+Pj5BbHNvIGF0dGFjaGluZyBzY3JlZW5zaG90IG9mIHBhZ2Ugd2hl cmUgSSB0cnkgdG8gaW1wb3J0IG1ldGEtb2UgZnJvbSBteQ0KPj4+bG9jYWxseSBjbG9uZWQgbG9j YXRpb24uDQo+Pj4NCj4+Pg0KPj4+QmVsb3cgaXMgdGhlIGZpbGUgc3RydWN0dXJlIEkgaGF2ZToN Cj4+Pg0KPj4+c3VqaXRoQGtkZWtpZDp+L01FTC9ob21ld29yayQgcHdkDQo+Pj4vaG9tZS9zdWpp dGgvTUVML2hvbWV3b3JrDQo+Pj5zdWppdGhAa2Rla2lkOn4vTUVML2hvbWV3b3JrJCBscyAtbA0K Pj4+dG90YWwgNTE4MA0KPj4+ZHJ3eHJ3eHIteCAxOSBzdWppdGggc3VqaXRoICAgIDQwOTYgSnVu IDEyIDE4OjQwIG1ldGEtb2UtbG9jYWwNCj4+PmRyd3hyd3hyLXggMTkgc3VqaXRoIHN1aml0aCAg ICA0MDk2IEp1bCAyNCAxODowNCBtZXRhLW9wZW5lbWJlZGRlZC1sb2NhbA0KPj4+ZHJ3eHJ3eHIt eCAgOCBzdWppdGggc3VqaXRoICAgIDQwOTYgSnVsIDI0IDE4OjAyIG1ldGEtcXQ1LWxvY2FsDQo+ Pj5kcnd4cnd4ci14IDExIHN1aml0aCBzdWppdGggICAgNDA5NiBKdWwgMjcgMTI6MDcgcG9reQ0K Pj4+ZHJ3eHJ3eHIteCAgMiBzdWppdGggc3VqaXRoICAgIDQwOTYgSnVsIDI3IDEyOjA4IHRvYXN0 ZXJfYnVpbGRfYXJ0aWZhY3RzDQo+Pj4tcnctci0tci0tICAxIHN1aml0aCBzdWppdGggNTI3NzY5 NiBKdWwgMjcgMTI6MTkgdG9hc3Rlci5zcWxpdGUNCj4+PmRyd3hyd3hyLXggIDYgc3VqaXRoIHN1 aml0aCAgICA0MDk2IEp1bCAyNCAxNjoyNSB2ZW52DQo+Pj5zdWppdGhAa2Rla2lkOn4vTUVML2hv bWV3b3JrJA0KPj4+DQo+Pg0KPj5SaWdodCwgSSd2ZSBtYW5hZ2VkIHRvIHJlcHJvZHVjZSB0aGlz LiBMb29raW5nIGF0IHRoZSBicm93c2VyIGNvbnNvbGUsIGl0DQo+Pm1pZ2h0IGJlIGEgcHJvYmxl bSB3aXRoIHRoZSBqYXZhc2NyaXB0IGRvaW5nIHRoZSBsYXllciBuYW1lIHZhbGlkYXRpb24uDQo+ PklmDQo+PnlvdSBjaGFuZ2UgdGhlIGxheWVyIG5hbWUgdG8gc29tZXRoaW5nIGNvbXBsZXRlbHkg cmFuZG9tIHRoYXQgZG9lcyBub3QNCj4+ZXhpc3QgaW4gdGhlIFRvYXN0ZXIgZGF0YWJhc2UgKHNv bWV0aGluZyBsaWtlIG1ldGEteHl6KSwgY2FuIHlvdSBpbXBvcnQNCj4+dGhlIGxheWVyPw0KPj4N Cj4+Q2hlZXJzDQo+Pg0KPj5CZWzDqW4NCj4+DQo+Pj4NCj4+Pg0KPj4+TGV0IG1lIGtub3cgaWYg bW9yZSBkZXRhaWxzIGFyZSByZXF1aXJlZC4NCj4+Pg0KPj4+DQo+Pj4NCj4+PlRoYW5rcywNCj4+ Pg0KPj4+U3VqaXRoIEgNCj4+Pg0KPj4+DQo+Pj4NCj4+Pg0KPj4+LS0NCj4+PuC0uOC1geC0nOC0 v+C0pOC1jSDgtLngtLDgtL/gtKbgtL7gtLjgtKjgtY0NCj4+PkJhbmdhbG9yZQ0KPj4+PFByb2pl Y3Q+Q29udHJpYnV0b3IgdG8gS0RFIHByb2plY3QNCj4+Pmh0dHA6Ly9mY2kud2lraWEuY29tL3dp a2kvQW50aS1EUk0tQ2FtcGFpZ24NCj4+PjxCbG9nPiBodHRwOi8vc3VqaXRoaC5pbmZvDQo+Pj4N Cj4+Pg0KPj4+DQo+Pg0KPg0KPg0KPj4tLQ0KPj5fX19fX19fX19fX19fX19fX19fX19fX19fX19f X19fX19fX19fX19fX19fX19fXw0KPj50b2FzdGVyIG1haWxpbmcgbGlzdA0KPj50b2FzdGVyQHlv Y3RvcHJvamVjdC5vcmcNCj4+aHR0cHM6Ly9saXN0cy55b2N0b3Byb2plY3Qub3JnL2xpc3RpbmZv L3RvYXN0ZXINCj4NCj4NCj4NCj4NCj4NCj4NCj4NCj4tLSANCj7gtLjgtYHgtJzgtL/gtKTgtY0g 4LS54LSw4LS/4LSm4LS+4LS44LSo4LWNDQo+QmFuZ2Fsb3JlDQo+PFByb2plY3Q+Q29udHJpYnV0 b3IgdG8gS0RFIHByb2plY3QNCj5odHRwOi8vZmNpLndpa2lhLmNvbS93aWtpL0FudGktRFJNLUNh bXBhaWduDQo+PEJsb2c+IGh0dHA6Ly9zdWppdGhoLmluZm8NCj4NCj4NCj4NCg0K From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: by yocto-www.yoctoproject.org (Postfix, from userid 118) id 66C62E0086D; Mon, 27 Jul 2015 06:25:05 -0700 (PDT) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on yocto-www.yoctoproject.org X-Spam-Level: X-Spam-Status: No, score=-2.6 required=5.0 tests=BAYES_00,RCVD_IN_DNSWL_LOW autolearn=ham version=3.3.1 X-Spam-HAM-Report: * -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% * [score: 0.0000] * -0.7 RCVD_IN_DNSWL_LOW RBL: Sender listed at http://www.dnswl.org/, low * trust * [209.85.212.174 listed in list.dnswl.org] Received: from mail-wi0-f174.google.com (mail-wi0-f174.google.com [209.85.212.174]) by yocto-www.yoctoproject.org (Postfix) with ESMTP id BC82EE0049B for ; Mon, 27 Jul 2015 06:25:03 -0700 (PDT) Received: by wibud3 with SMTP id ud3so140024946wib.1 for ; Mon, 27 Jul 2015 06:25:02 -0700 (PDT) X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20130820; h=x-gm-message-state:message-id:date:from:user-agent:mime-version:to :subject:references:in-reply-to:content-type :content-transfer-encoding; bh=TfYBxICzhBazcU6QiLnUY5qelt/kGAxEG9oKtZ9l4vw=; b=Q8xe9iWUxZE+TdB87drqQq1UKxTYjiPqDSaA5yPXzOwXgQfIPXaI2YUNQLBfBjRVVO ej77kx+dIvApfCK+tf6zSX3r37Vy9oJnY832WJr3kxqwTXw+pNE/9CFB1K+vMUBh5UYa /dy5tP6iTxvRxv/qbGQ/jlXeYATbe+mqVWniybmxMUb8wyns2E1ZByB3NjzZvsB000i8 4tIoZVLzBm9nArT+TQr00m/tG6rcXX7aybu42pqO2+wjfPjDwADnXxB8TqsvChCUqjam Zi5Sj/vobFBHu7AOWgg16mA4F/IOYMVGgeDoZEyD+G/vsXW7b60Da8psqra3x85fCDrj Iqxw== X-Gm-Message-State: ALoCoQkGKITVprYXrg73mq26i0okdJMPS7qCAxX480tBe3F57ag6ifZv/QBwiAzosei2KhVwf7PI X-Received: by 10.180.84.230 with SMTP id c6mr24314274wiz.32.1438003502451; Mon, 27 Jul 2015 06:25:02 -0700 (PDT) Received: from [192.168.0.15] (cpc73680-dals20-2-0-cust304.20-2.cable.virginm.net. [80.194.17.49]) by smtp.googlemail.com with ESMTPSA id gb16sm13670736wic.5.2015.07.27.06.25.01 for (version=TLSv1.2 cipher=ECDHE-RSA-AES128-GCM-SHA256 bits=128/128); Mon, 27 Jul 2015 06:25:01 -0700 (PDT) Message-ID: <55B6312D.1000801@intel.com> Date: Mon, 27 Jul 2015 14:25:01 +0100 From: Michael Wood User-Agent: Mozilla/5.0 (X11; Linux x86_64; rv:31.0) Gecko/20100101 Thunderbird/31.7.0 MIME-Version: 1.0 To: toaster@yoctoproject.org References: In-Reply-To: Subject: Re: Usage of already cloned layers in toaster X-BeenThere: toaster@yoctoproject.org X-Mailman-Version: 2.1.13 Precedence: list List-Id: Web based interface for BitBake List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 27 Jul 2015 13:25:05 -0000 Content-Type: text/plain; charset=UTF-8; format=flowed Content-Transfer-Encoding: 8bit On 27/07/15 11:31, sujith h wrote: > > > On Mon, Jul 27, 2015 at 3:39 PM, Barros Pena, Belen > > wrote: > > > > On 27/07/2015 07:54, "sujith h" > wrote: > > > > > > >On Fri, Jul 24, 2015 at 6:36 PM, Barros Pena, Belen > > > wrote: > > > > > > > >On 24/07/2015 13:57, "sujith h" > wrote: > > > > > >* Which version of Yocto Project you are using (fido or master)? > > > >I am using fido branch. > > > > > >* Which release you have selected for your project? > > > > > >In the release I have selected "Local Yocto Project" > > > > > >* If you click the "view all compatible layers" link and in that > page you > >search for meta-oe, do you get any results? > > > >I can see only "meta-yocto-bsp", "meta-yocto" and > "openembedded-core". > >Attached screenshot of the same. > > > > > >Also attaching screenshot of page where I try to import meta-oe > from my > >locally cloned location. > > > > > >Below is the file structure I have: > > > >sujith@kdekid:~/MEL/homework$ pwd > >/home/sujith/MEL/homework > >sujith@kdekid:~/MEL/homework$ ls -l > >total 5180 > >drwxrwxr-x 19 sujith sujith 4096 Jun 12 18:40 meta-oe-local > >drwxrwxr-x 19 sujith sujith 4096 Jul 24 18:04 > meta-openembedded-local > >drwxrwxr-x 8 sujith sujith 4096 Jul 24 18:02 meta-qt5-local > >drwxrwxr-x 11 sujith sujith 4096 Jul 27 12:07 poky > >drwxrwxr-x 2 sujith sujith 4096 Jul 27 12:08 > toaster_build_artifacts > >-rw-r--r-- 1 sujith sujith 5277696 Jul 27 12:19 toaster.sqlite > >drwxrwxr-x 6 sujith sujith 4096 Jul 24 16:25 venv > >sujith@kdekid:~/MEL/homework$ > > > > Right, I've managed to reproduce this. Looking at the browser > console, it > might be a problem with the javascript doing the layer name > validation. If > you change the layer name to something completely random that does not > exist in the Toaster database (something like meta-xyz), can you > import > the layer? > > > Am bit new to the web world. So I gave a try with firebug to debug > which script ( Javascript or any ) call happens > when I click "Import and add to project" button. Even after changing > meta-oe repo to meta-xyz as per suggestion, > the result remains same. But this is the output I see in the firebug > console: > |{"current_id": 5, "current_url": "git://git.openembedded.org/meta-openembedded ", "error": "hint-layer-exists-with-different-url"||}| > hint-layer-exists-with-different-url > > Also attaching the screenshot of the same ( to get more clarity ). Thanks for this, I noticed this wasn't working properly last week, and rolled a couple of patches to fix these regressions. http://git.yoctoproject.org/cgit/cgit.cgi/poky-contrib/commit/?h=michaelw/toaster/wip-nav-project-changes&id=0181c56dd608427c0a7bd986df75bf7a1189e064 and http://git.yoctoproject.org/cgit/cgit.cgi/poky-contrib/commit/?h=michaelw/toaster/wip-nav-project-changes&id=aa5b023f03f5465ea22318a1f21199ce434eb700 I have a few other things to fix on this branch as I have been fixing a number of things to allow me to test the new project page, I'm intending to roll a separate branch for review on it. You've highlighted that we need a unit test which does a layer import using the back end API calls, which although it wouldn't have caught this error would be really good to have, if you're interested in helping with that? > > Thanks, > Sujith H > > > > Cheers > > Belén > > > > > > >Let me know if more details are required. > > > > > > > >Thanks, > > > >Sujith H > > > > > > > > > >-- > >സുജിത് ഹരിദാസന് > >Bangalore > >Contributor to KDE project > >http://fci.wikia.com/wiki/Anti-DRM-Campaign > > http://sujithh.info > > > > > > > > > > > -- > സുജിത് ഹരിദാസന് > Bangalore > Contributor to KDE project > http://fci.wikia.com/wiki/Anti-DRM-Campaign > http://sujithh.info > > From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: by yocto-www.yoctoproject.org (Postfix, from userid 118) id A0908E009D9; Mon, 27 Jul 2015 08:23:39 -0700 (PDT) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on yocto-www.yoctoproject.org X-Spam-Level: X-Spam-Status: No, score=-2.7 required=5.0 tests=BAYES_00,DKIM_SIGNED, DKIM_VALID,DKIM_VALID_AU,FREEMAIL_FROM,HTML_MESSAGE,RCVD_IN_DNSWL_LOW autolearn=ham version=3.3.1 X-Spam-HAM-Report: * 0.0 FREEMAIL_FROM Sender email is commonly abused enduser mail provider * (sujith.h[at]gmail.com) * -0.7 RCVD_IN_DNSWL_LOW RBL: Sender listed at http://www.dnswl.org/, low * trust * [209.85.220.175 listed in list.dnswl.org] * -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% * [score: 0.0000] * 0.0 HTML_MESSAGE BODY: HTML included in message * -0.1 DKIM_VALID_AU Message has a valid DKIM or DK signature from author's * domain * 0.1 DKIM_SIGNED Message has a DKIM or DK signature, not necessarily * valid * -0.1 DKIM_VALID Message has at least one valid DKIM or DK signature Received: from mail-qk0-f175.google.com (mail-qk0-f175.google.com [209.85.220.175]) by yocto-www.yoctoproject.org (Postfix) with ESMTP id 1E3FBE00973 for ; Mon, 27 Jul 2015 08:23:36 -0700 (PDT) Received: by qkfc129 with SMTP id c129so40669644qkf.1 for ; Mon, 27 Jul 2015 08:23:35 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:from:date:message-id:subject:to :cc:content-type; bh=ubQDXpy1fLTYPbGpVOkZzTgzSTcWtvt3/uzAyg9EaX4=; b=P+7hNfCnd9X/7GLWqLSTxPRMlIVM0QLxpF23rp7CCEW0IY1cPGcpkscuyVD4u/qTQl PKj5yM34QexT+uwM2sJSpYkQe7bYBAkwTEk9NqZLmyOP5COFbUT2HRlOvtke2sbuConL fNYn1JdILFlJtwgMKP6oxjpCkNu2YmdY8YOYliD0tUvsfjucuHtWuGt7oh8Nqs0SbQ3u 1th67GeKIroErmej4pNN40VOh6sQyLFku1vxqoOiVuD42SAIWP3b5G2u+yepRUKUK1hq +bGSIUh+kKIiN4q80ioRpQ6U4zS3xJFlaTKZbvkgyUNPZgY3s5gn0H8vm9mSIEcoixQH L8SA== X-Received: by 10.55.18.6 with SMTP id c6mr41772986qkh.96.1438010615837; Mon, 27 Jul 2015 08:23:35 -0700 (PDT) MIME-Version: 1.0 Received: by 10.96.138.226 with HTTP; Mon, 27 Jul 2015 08:23:15 -0700 (PDT) In-Reply-To: <55B6312D.1000801@intel.com> References: <55B6312D.1000801@intel.com> From: sujith h Date: Mon, 27 Jul 2015 20:53:15 +0530 Message-ID: To: Michael Wood Cc: toaster@yoctoproject.org Subject: Re: Usage of already cloned layers in toaster X-BeenThere: toaster@yoctoproject.org X-Mailman-Version: 2.1.13 Precedence: list List-Id: Web based interface for BitBake List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 27 Jul 2015 15:23:39 -0000 Content-Type: multipart/alternative; boundary=001a1147004cf0baf0051bdcefec --001a1147004cf0baf0051bdcefec Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable On Mon, Jul 27, 2015 at 6:55 PM, Michael Wood wrote: > On 27/07/15 11:31, sujith h wrote: > >> >> >> On Mon, Jul 27, 2015 at 3:39 PM, Barros Pena, Belen < >> belen.barros.pena@intel.com > wrote: >> >> >> >> On 27/07/2015 07:54, "sujith h" > > wrote: >> >> > >> > >> >On Fri, Jul 24, 2015 at 6:36 PM, Barros Pena, Belen >> >> > wrote: >> > >> > >> > >> >On 24/07/2015 13:57, "sujith h" > > wrote: >> > >> > >> >* Which version of Yocto Project you are using (fido or master)? >> > >> >I am using fido branch. >> > >> > >> >* Which release you have selected for your project? >> > >> > >> >In the release I have selected "Local Yocto Project" >> > >> > >> >* If you click the "view all compatible layers" link and in that >> page you >> >search for meta-oe, do you get any results? >> > >> >I can see only "meta-yocto-bsp", "meta-yocto" and >> "openembedded-core". >> >Attached screenshot of the same. >> > >> > >> >Also attaching screenshot of page where I try to import meta-oe >> from my >> >locally cloned location. >> > >> > >> >Below is the file structure I have: >> > >> >sujith@kdekid:~/MEL/homework$ pwd >> >/home/sujith/MEL/homework >> >sujith@kdekid:~/MEL/homework$ ls -l >> >total 5180 >> >drwxrwxr-x 19 sujith sujith 4096 Jun 12 18:40 meta-oe-local >> >drwxrwxr-x 19 sujith sujith 4096 Jul 24 18:04 >> meta-openembedded-local >> >drwxrwxr-x 8 sujith sujith 4096 Jul 24 18:02 meta-qt5-local >> >drwxrwxr-x 11 sujith sujith 4096 Jul 27 12:07 poky >> >drwxrwxr-x 2 sujith sujith 4096 Jul 27 12:08 >> toaster_build_artifacts >> >-rw-r--r-- 1 sujith sujith 5277696 Jul 27 12:19 toaster.sqlite >> >drwxrwxr-x 6 sujith sujith 4096 Jul 24 16:25 venv >> >sujith@kdekid:~/MEL/homework$ >> > >> >> Right, I've managed to reproduce this. Looking at the browser >> console, it >> might be a problem with the javascript doing the layer name >> validation. If >> you change the layer name to something completely random that does n= ot >> exist in the Toaster database (something like meta-xyz), can you >> import >> the layer? >> >> >> Am bit new to the web world. So I gave a try with firebug to debug which >> script ( Javascript or any ) call happens >> when I click "Import and add to project" button. Even after changing >> meta-oe repo to meta-xyz as per suggestion, >> the result remains same. But this is the output I see in the firebug >> console: >> |{"current_id": 5, "current_url": "git:// >> git.openembedded.org/meta-openembedded < >> http://git.openembedded.org/meta-openembedded>", "error": >> "hint-layer-exists-with-different-url"||}| >> hint-layer-exists-with-different-url >> >> Also attaching the screenshot of the same ( to get more clarity ). >> > > Thanks for this, I noticed this wasn't working properly last week, and > rolled a couple of patches to fix these regressions. > > > > http://git.yoctoproject.org/cgit/cgit.cgi/poky-contrib/commit/?h=3Dmichae= lw/toaster/wip-nav-project-changes&id=3D0181c56dd608427c0a7bd986df75bf7a118= 9e064 > > and > > > > http://git.yoctoproject.org/cgit/cgit.cgi/poky-contrib/commit/?h=3Dmichae= lw/toaster/wip-nav-project-changes&id=3Daa5b023f03f5465ea22318a1f21199ce434= eb700 > > I have a few other things to fix on this branch as I have been fixing a > number of things to allow me to test the new project page, I'm intending = to > roll a separate branch for review on it. > > You've highlighted that we need a unit test which does a layer import > using the back end API calls, which although it wouldn't have caught this > error would be really good to have, if you're interested in helping with > that? > It would be my pleasure to help :) I might need some assistance as I am learning Django. May be some hint like where to start with or so. > > >> Thanks, >> Sujith H >> >> >> >> Cheers >> >> Bel=C3=A9n >> >> > >> > >> >Let me know if more details are required. >> > >> > >> > >> >Thanks, >> > >> >Sujith H >> > >> > >> > >> > >> >-- >> >=E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0= =B4=B0=E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D >> >Bangalore >> >Contributor to KDE project >> >http://fci.wikia.com/wiki/Anti-DRM-Campaign >> > http://sujithh.info >> > >> > >> > >> >> >> >> >> -- >> =E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0=B4= =B0=E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D >> Bangalore >> Contributor to KDE project >> http://fci.wikia.com/wiki/Anti-DRM-Campaign >> http://sujithh.info >> >> >> > -- > _______________________________________________ > toaster mailing list > toaster@yoctoproject.org > https://lists.yoctoproject.org/listinfo/toaster > --=20 =E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0=B4=B0= =E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D Bangalore Contributor to KDE project http://fci.wikia.com/wiki/Anti-DRM-Campaign http://sujithh.info --001a1147004cf0baf0051bdcefec Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable


On Mon, Jul 27, 2015 at 6:55 PM, Michael Wood <michael.g.wood@i= ntel.com> wrote:
On 27/07= /15 11:31, sujith h wrote:


On Mon, Jul 27, 2015 at 3:39 PM, Barros Pena, Belen <belen.barros.pena@intel.com <mailto:belen.barros.pena@intel.com>> wrote:



=C2=A0 =C2=A0 On 27/07/2015 07:54, "sujith h" <sujith.h@gmail.com
<= span class=3D""> =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com>> wrote:

=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >On Fri, Jul 24, 2015 at 6:36 PM, Barros Pena, Belen
=C2=A0 =C2=A0 ><belen.barros.pena@intel.com
=C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com>> wrote:
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >On 24/07/2015 13:57, "sujith h" <sujith.h@gmail.com
=C2=A0 =C2=A0 <mailto:sujith.h@gmail.com>> wrote:
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >* Which version of Yocto Project you are using (fido or m= aster)?
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >I am using fido branch.
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >* Which release you have selected for your project?
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >In the release I have selected "Local Yocto Project&= quot;
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >* If you click the "view all compatible layers"= link and in that
=C2=A0 =C2=A0 page you
=C2=A0 =C2=A0 >search for meta-oe, do you get any results?
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >I can see only "meta-yocto-bsp", "meta-yoc= to" and
=C2=A0 =C2=A0 "openembedded-core".
=C2=A0 =C2=A0 >Attached screenshot of the same.
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >Also attaching screenshot of page where I try to import m= eta-oe
=C2=A0 =C2=A0 from my
=C2=A0 =C2=A0 >locally cloned location.
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >Below is the file structure I have:
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >sujith@kdekid:~/MEL/homework$ pwd
=C2=A0 =C2=A0 >/home/sujith/MEL/homework
=C2=A0 =C2=A0 >sujith@kdekid:~/MEL/homework$ ls -l
=C2=A0 =C2=A0 >total 5180
=C2=A0 =C2=A0 >drwxrwxr-x 19 sujith sujith=C2=A0 =C2=A0 4096 Jun 12 18:4= 0 meta-oe-local
=C2=A0 =C2=A0 >drwxrwxr-x 19 sujith sujith=C2=A0 =C2=A0 4096 Jul 24 18:0= 4
=C2=A0 =C2=A0 meta-openembedded-local
=C2=A0 =C2=A0 >drwxrwxr-x=C2=A0 8 sujith sujith=C2=A0 =C2=A0 4096 Jul 24= 18:02 meta-qt5-local
=C2=A0 =C2=A0 >drwxrwxr-x 11 sujith sujith=C2=A0 =C2=A0 4096 Jul 27 12:0= 7 poky
=C2=A0 =C2=A0 >drwxrwxr-x=C2=A0 2 sujith sujith=C2=A0 =C2=A0 4096 Jul 27= 12:08
=C2=A0 =C2=A0 toaster_build_artifacts
=C2=A0 =C2=A0 >-rw-r--r--=C2=A0 1 sujith sujith 5277696 Jul 27 12:19 toa= ster.sqlite
=C2=A0 =C2=A0 >drwxrwxr-x=C2=A0 6 sujith sujith=C2=A0 =C2=A0 4096 Jul 24= 16:25 venv
=C2=A0 =C2=A0 >sujith@kdekid:~/MEL/homework$
=C2=A0 =C2=A0 >

=C2=A0 =C2=A0 Right, I've managed to reproduce this. Looking at the bro= wser
=C2=A0 =C2=A0 console, it
=C2=A0 =C2=A0 might be a problem with the javascript doing the layer name =C2=A0 =C2=A0 validation. If
=C2=A0 =C2=A0 you change the layer name to something completely random that= does not
=C2=A0 =C2=A0 exist in the Toaster database (something like meta-xyz), can = you
=C2=A0 =C2=A0 import
=C2=A0 =C2=A0 the layer?


Am bit new to the web world. So I gave a try with firebug to debug which sc= ript ( Javascript or any ) call happens
when I click "Import=C2=A0 and add to project" button. Even after= changing meta-oe repo to meta-xyz as per suggestion,
the result remains same. But this is the output I see in the firebug consol= e:
|{"current_id": 5, "current_url": "git://git.openembedded.org/meta-openembedded=C2=A0 <http://git.openembedded.org/meta-openembedded>", &= quot;error": "hint-layer-exists-with-different-url"||}|
hint-layer-exists-with-different-url

Also attaching the screenshot of the same ( to get more clarity ).

Thanks for this, I noticed this wasn't working properly last week, and = rolled a couple of patches to fix these regressions.


http://git.yoctopr= oject.org/cgit/cgit.cgi/poky-contrib/commit/?h=3Dmichaelw/toaster/wip-nav-p= roject-changes&id=3D0181c56dd608427c0a7bd986df75bf7a1189e064

and


http://git.yoctopr= oject.org/cgit/cgit.cgi/poky-contrib/commit/?h=3Dmichaelw/toaster/wip-nav-p= roject-changes&id=3Daa5b023f03f5465ea22318a1f21199ce434eb700

I have a few other things to fix on this branch as I have been fixing a num= ber of things to allow me to test the new project page, I'm intending t= o roll a separate branch for review on it.

You've highlighted that we need a unit test which does a layer import u= sing the back end API calls, which although it wouldn't have caught thi= s error would be really good to have, if you're interested in helping w= ith that?

<= div>It would be my pleasure to help :) I might need some assistance as I am= learning Django. May be some hint like where to start with or so.

<= /div>



Thanks,
Sujith H



=C2=A0 =C2=A0 Cheers

=C2=A0 =C2=A0 Bel=C3=A9n

=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >Let me know if more details are required.
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >Thanks,
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >Sujith H
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >--
=C2=A0 =C2=A0 >=E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D = =E0=B4=B9=E0=B4=B0=E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D =C2=A0 =C2=A0 >Bangalore
=C2=A0 =C2=A0 ><Project>Contributor to KDE project
=C2=A0 =C2=A0 >http://fci.wikia.com/wiki/Anti-DRM-Camp= aign
=C2=A0 =C2=A0 ><Blog> http://sujithh.info
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >
=C2=A0 =C2=A0 >




--
=E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0=B4=B0= =E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D
Bangalore
<Project>Contributor to KDE project
http://fci.wikia.com/wiki/Anti-DRM-Campaign
<Blog> http://sujithh.info



--
_______________________________________________
toaster mailing list
toaster@yocto= project.org
https://lists.yoctoproject.org/listinfo/toaster



--
=E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D= =E0=B4=B9=E0=B4=B0=E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8DBangalore
<Project>Contributor to KDE project
http://fci.wikia= .com/wiki/Anti-DRM-Campaign
<Blog> http://sujithh.info
--001a1147004cf0baf0051bdcefec-- From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: by yocto-www.yoctoproject.org (Postfix, from userid 118) id C5325E00A64; Tue, 28 Jul 2015 11:51:05 -0700 (PDT) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on yocto-www.yoctoproject.org X-Spam-Level: X-Spam-Status: No, score=-2.6 required=5.0 tests=BAYES_00,RCVD_IN_DNSWL_LOW autolearn=ham version=3.3.1 X-Spam-HAM-Report: * -0.7 RCVD_IN_DNSWL_LOW RBL: Sender listed at http://www.dnswl.org/, low * trust * [209.85.212.177 listed in list.dnswl.org] * -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% * [score: 0.0000] Received: from mail-wi0-f177.google.com (mail-wi0-f177.google.com [209.85.212.177]) by yocto-www.yoctoproject.org (Postfix) with ESMTP id 90469E00A4C for ; Tue, 28 Jul 2015 11:51:03 -0700 (PDT) Received: by wibud3 with SMTP id ud3so192644237wib.1 for ; Tue, 28 Jul 2015 11:51:02 -0700 (PDT) X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20130820; h=x-gm-message-state:message-id:date:from:user-agent:mime-version:to :cc:subject:references:in-reply-to:content-type :content-transfer-encoding; bh=pz5ZO8hrqU6p2Q48ojYz+iCeDGK8p7kDwLlr59C4Ud4=; b=TmbCSmwOy5FTz78fBHRI9us7Ji6Zg0vwtXwYTuo/DP48DX+0OsSwpKhapghhzOdm2N tT+34zJ2ziPBi2kp8+29hPQSrT7AIxQYk3pcbixQ7zsk986E4QDCaLWulaz9i4NC4wfn GJ+WcW56GYSEZcokg9ofAEefm2elabmu1JBaI+BWjos76/D1BJM88Do7kypMMW2bm8af Oe5aem81ah7XooY1d0jsByhXI3mFtQYwj5K+XHguTDHLr1nfA6xj86GbUYfV4f+JHqe+ 0lvA/SIKXPLAvCNKL3FkmNJphZwH9Q2qgryWZloeTFYEEmpBGiRgGPvtXEj6E5cLLYTc U+rg== X-Gm-Message-State: ALoCoQm7hmJYLFiv1t61/+YQ8emZ4pyh5IZN001htDIVfP4/GqBstNrZAf0knDLTlMYRfQ8NJeiZ X-Received: by 10.194.236.161 with SMTP id uv1mr73074549wjc.158.1438109462598; Tue, 28 Jul 2015 11:51:02 -0700 (PDT) Received: from [192.168.2.72] ([83.217.123.106]) by smtp.googlemail.com with ESMTPSA id dl10sm34585667wjb.42.2015.07.28.11.51.00 (version=TLSv1.2 cipher=ECDHE-RSA-AES128-GCM-SHA256 bits=128/128); Tue, 28 Jul 2015 11:51:01 -0700 (PDT) Message-ID: <55B7CF14.7000409@intel.com> Date: Tue, 28 Jul 2015 19:51:00 +0100 From: Michael Wood User-Agent: Mozilla/5.0 (X11; Linux x86_64; rv:31.0) Gecko/20100101 Thunderbird/31.8.0 MIME-Version: 1.0 To: sujith h References: <55B6312D.1000801@intel.com> In-Reply-To: Cc: toaster@yoctoproject.org Subject: Re: Usage of already cloned layers in toaster X-BeenThere: toaster@yoctoproject.org X-Mailman-Version: 2.1.13 Precedence: list List-Id: Web based interface for BitBake List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Tue, 28 Jul 2015 18:51:05 -0000 Content-Type: text/plain; charset=utf-8; format=flowed Content-Transfer-Encoding: 7bit On 27/07/15 16:23, sujith h wrote: > > > On Mon, Jul 27, 2015 at 6:55 PM, Michael Wood > > wrote: > > On 27/07/15 11:31, sujith h wrote: > > > > On Mon, Jul 27, 2015 at 3:39 PM, Barros Pena, Belen > > >> wrote: > > > > On 27/07/2015 07:54, "sujith h" > >> > wrote: > > > > > > >On Fri, Jul 24, 2015 at 6:36 PM, Barros Pena, Belen > > > >> wrote: > > > > > > > >On 24/07/2015 13:57, "sujith h" > >> > wrote: > > > > > >* Which version of Yocto Project you are using (fido or > master)? > > > >I am using fido branch. > > > > > >* Which release you have selected for your project? > > > > > >In the release I have selected "Local Yocto Project" > > > > > >* If you click the "view all compatible layers" link and > in that > page you > >search for meta-oe, do you get any results? > > > >I can see only "meta-yocto-bsp", "meta-yocto" and > "openembedded-core". > >Attached screenshot of the same. > > > > > >Also attaching screenshot of page where I try to import > meta-oe > from my > >locally cloned location. > > > > > >Below is the file structure I have: > > > >sujith@kdekid:~/MEL/homework$ pwd > >/home/sujith/MEL/homework > >sujith@kdekid:~/MEL/homework$ ls -l > >total 5180 > >drwxrwxr-x 19 sujith sujith 4096 Jun 12 18:40 > meta-oe-local > >drwxrwxr-x 19 sujith sujith 4096 Jul 24 18:04 > meta-openembedded-local > >drwxrwxr-x 8 sujith sujith 4096 Jul 24 18:02 > meta-qt5-local > >drwxrwxr-x 11 sujith sujith 4096 Jul 27 12:07 poky > >drwxrwxr-x 2 sujith sujith 4096 Jul 27 12:08 > toaster_build_artifacts > >-rw-r--r-- 1 sujith sujith 5277696 Jul 27 12:19 > toaster.sqlite > >drwxrwxr-x 6 sujith sujith 4096 Jul 24 16:25 venv > >sujith@kdekid:~/MEL/homework$ > > > > Right, I've managed to reproduce this. Looking at the browser > console, it > might be a problem with the javascript doing the layer name > validation. If > you change the layer name to something completely random > that does not > exist in the Toaster database (something like meta-xyz), > can you > import > the layer? > > > Am bit new to the web world. So I gave a try with firebug to > debug which script ( Javascript or any ) call happens > when I click "Import and add to project" button. Even after > changing meta-oe repo to meta-xyz as per suggestion, > the result remains same. But this is the output I see in the > firebug console: > |{"current_id": 5, "current_url": > "git://git.openembedded.org/meta-openembedded > > ", "error": > "hint-layer-exists-with-different-url"||}| > hint-layer-exists-with-different-url > > Also attaching the screenshot of the same ( to get more clarity ). > > > Thanks for this, I noticed this wasn't working properly last week, > and rolled a couple of patches to fix these regressions. > > > http://git.yoctoproject.org/cgit/cgit.cgi/poky-contrib/commit/?h=michaelw/toaster/wip-nav-project-changes&id=0181c56dd608427c0a7bd986df75bf7a1189e064 > > and > > > http://git.yoctoproject.org/cgit/cgit.cgi/poky-contrib/commit/?h=michaelw/toaster/wip-nav-project-changes&id=aa5b023f03f5465ea22318a1f21199ce434eb700 > > I have a few other things to fix on this branch as I have been > fixing a number of things to allow me to test the new project > page, I'm intending to roll a separate branch for review on it. > > You've highlighted that we need a unit test which does a layer > import using the back end API calls, which although it wouldn't > have caught this error would be really good to have, if you're > interested in helping with that? > > > It would be my pleasure to help :) I might need some assistance as I > am learning Django. May be some hint like where to start with or so. > This is the best place to start https://docs.djangoproject.com/en/1.6/topics/testing/overview/ In ./bitbake /lib /toaster /toastergui /tests.py We can add something like class ImportLayerTestCase(|ProvisionedLayersProjectTestCase|): .... ... def test_import_layer(self): client.post(reverse('xhr_importlayer',..... ... We can then use the JSON response from the client to help validate the data coming back as well as checking the import layer actually entered the database. There are a few examples in the yocto error-report-web project too that might be useful to look at e.g. http://git.yoctoproject.org/cgit/cgit.cgi/error-report-web/tree/Post/test.py#n153 You can run the test by doing running ./manage.py test toastergui Thanks, Michael From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: by yocto-www.yoctoproject.org (Postfix, from userid 118) id 9DA5CE0097F; Wed, 29 Jul 2015 07:39:38 -0700 (PDT) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on yocto-www.yoctoproject.org X-Spam-Level: X-Spam-Status: No, score=-2.7 required=5.0 tests=BAYES_00,DKIM_SIGNED, DKIM_VALID,DKIM_VALID_AU,FREEMAIL_FROM,HTML_MESSAGE,RCVD_IN_DNSWL_LOW autolearn=ham version=3.3.1 X-Spam-HAM-Report: * 0.0 FREEMAIL_FROM Sender email is commonly abused enduser mail provider * (sujith.h[at]gmail.com) * -0.7 RCVD_IN_DNSWL_LOW RBL: Sender listed at http://www.dnswl.org/, low * trust * [209.85.220.170 listed in list.dnswl.org] * -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% * [score: 0.0000] * 0.0 HTML_MESSAGE BODY: HTML included in message * -0.1 DKIM_VALID_AU Message has a valid DKIM or DK signature from author's * domain * 0.1 DKIM_SIGNED Message has a DKIM or DK signature, not necessarily * valid * -0.1 DKIM_VALID Message has at least one valid DKIM or DK signature Received: from mail-qk0-f170.google.com (mail-qk0-f170.google.com [209.85.220.170]) by yocto-www.yoctoproject.org (Postfix) with ESMTP id 0C66BE00947 for ; Wed, 29 Jul 2015 07:39:35 -0700 (PDT) Received: by qkdg63 with SMTP id g63so5378352qkd.0 for ; Wed, 29 Jul 2015 07:39:35 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:from:date:message-id:subject:to :cc:content-type; bh=Lu0mOjRxVjJkcMhMP6QVYU4lqGIA+CQde32dgXwRZpY=; b=SK9at68ad1rEKGs/q8cbj2NatDnHJnoJypGKD8UtzTK9LaJ3w3bC7tqBpL3dGnQOQT 3T0rRCpTLn6F7mptnLf1+1MQ9VR7j2ghMMk8ecEC2B+vZ4UkkpT8PTMq706T4iCdTNRp RBCKPDXFm3VTIemH3bmN50mwmjCTjBeq6XBqGPEoUX/sBmrVE+rn2ULk989duzk66uOi KPLIxZLMKmJy+PAMDSqCY1lcMhOy0jICgaLEZoy1goZZrDnsgz9ZIPTY+dyMvEouFmEN acV3f6mwO/Pa4nqsg+Y9kdV//d+kZ7ATKYJyUCQOP+GSh8iaFFwZv1X35WfZo3/i0XR2 FH7A== X-Received: by 10.55.40.135 with SMTP id o7mr61834223qko.106.1438180774888; Wed, 29 Jul 2015 07:39:34 -0700 (PDT) MIME-Version: 1.0 Received: by 10.96.138.226 with HTTP; Wed, 29 Jul 2015 07:39:15 -0700 (PDT) In-Reply-To: <55B7CF14.7000409@intel.com> References: <55B6312D.1000801@intel.com> <55B7CF14.7000409@intel.com> From: sujith h Date: Wed, 29 Jul 2015 20:09:15 +0530 Message-ID: To: Michael Wood Cc: toaster@yoctoproject.org Subject: Re: Usage of already cloned layers in toaster X-BeenThere: toaster@yoctoproject.org X-Mailman-Version: 2.1.13 Precedence: list List-Id: Web based interface for BitBake List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Wed, 29 Jul 2015 14:39:38 -0000 Content-Type: multipart/alternative; boundary=001a1142a4a235ca40051c048eac --001a1142a4a235ca40051c048eac Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable On Wed, Jul 29, 2015 at 12:21 AM, Michael Wood wrote: > On 27/07/15 16:23, sujith h wrote: > >> >> >> On Mon, Jul 27, 2015 at 6:55 PM, Michael Wood > > wrote: >> >> On 27/07/15 11:31, sujith h wrote: >> >> >> >> On Mon, Jul 27, 2015 at 3:39 PM, Barros Pena, Belen >> > >> > >> wrote: >> >> >> >> On 27/07/2015 07:54, "sujith h" > >> >> >> wrote: >> >> > >> > >> >On Fri, Jul 24, 2015 at 6:36 PM, Barros Pena, Belen >> >> >> > >> wrote: >> > >> > >> > >> >On 24/07/2015 13:57, "sujith h" > >> >> >> >> wrote: >> > >> > >> >* Which version of Yocto Project you are using (fido or >> master)? >> > >> >I am using fido branch. >> > >> > >> >* Which release you have selected for your project? >> > >> > >> >In the release I have selected "Local Yocto Project" >> > >> > >> >* If you click the "view all compatible layers" link and >> in that >> page you >> >search for meta-oe, do you get any results? >> > >> >I can see only "meta-yocto-bsp", "meta-yocto" and >> "openembedded-core". >> >Attached screenshot of the same. >> > >> > >> >Also attaching screenshot of page where I try to import >> meta-oe >> from my >> >locally cloned location. >> > >> > >> >Below is the file structure I have: >> > >> >sujith@kdekid:~/MEL/homework$ pwd >> >/home/sujith/MEL/homework >> >sujith@kdekid:~/MEL/homework$ ls -l >> >total 5180 >> >drwxrwxr-x 19 sujith sujith 4096 Jun 12 18:40 >> meta-oe-local >> >drwxrwxr-x 19 sujith sujith 4096 Jul 24 18:04 >> meta-openembedded-local >> >drwxrwxr-x 8 sujith sujith 4096 Jul 24 18:02 >> meta-qt5-local >> >drwxrwxr-x 11 sujith sujith 4096 Jul 27 12:07 poky >> >drwxrwxr-x 2 sujith sujith 4096 Jul 27 12:08 >> toaster_build_artifacts >> >-rw-r--r-- 1 sujith sujith 5277696 Jul 27 12:19 >> toaster.sqlite >> >drwxrwxr-x 6 sujith sujith 4096 Jul 24 16:25 venv >> >sujith@kdekid:~/MEL/homework$ >> > >> >> Right, I've managed to reproduce this. Looking at the browse= r >> console, it >> might be a problem with the javascript doing the layer name >> validation. If >> you change the layer name to something completely random >> that does not >> exist in the Toaster database (something like meta-xyz), >> can you >> import >> the layer? >> >> >> Am bit new to the web world. So I gave a try with firebug to >> debug which script ( Javascript or any ) call happens >> when I click "Import and add to project" button. Even after >> changing meta-oe repo to meta-xyz as per suggestion, >> the result remains same. But this is the output I see in the >> firebug console: >> |{"current_id": 5, "current_url": >> "git://git.openembedded.org/meta-openembedded >> >> ", "error": >> "hint-layer-exists-with-different-url"||}| >> hint-layer-exists-with-different-url >> >> Also attaching the screenshot of the same ( to get more clarity = ). >> >> >> Thanks for this, I noticed this wasn't working properly last week, >> and rolled a couple of patches to fix these regressions. >> >> >> >> http://git.yoctoproject.org/cgit/cgit.cgi/poky-contrib/commit/?h=3Dmicha= elw/toaster/wip-nav-project-changes&id=3D0181c56dd608427c0a7bd986df75bf7a11= 89e064 >> >> and >> >> >> >> http://git.yoctoproject.org/cgit/cgit.cgi/poky-contrib/commit/?h=3Dmicha= elw/toaster/wip-nav-project-changes&id=3Daa5b023f03f5465ea22318a1f21199ce43= 4eb700 >> >> I have a few other things to fix on this branch as I have been >> fixing a number of things to allow me to test the new project >> page, I'm intending to roll a separate branch for review on it. >> >> You've highlighted that we need a unit test which does a layer >> import using the back end API calls, which although it wouldn't >> have caught this error would be really good to have, if you're >> interested in helping with that? >> >> >> It would be my pleasure to help :) I might need some assistance as I am >> learning Django. May be some hint like where to start with or so. >> >> > This is the best place to start > https://docs.djangoproject.com/en/1.6/topics/testing/overview/ > > In ./bitbake /lib > /toaste= r > /toastergui > < > https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake/lib/toaster/= toastergui>/tests.py > < > https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake/lib/toaster/= toastergui/tests.py > > > > We can add something like > > class ImportLayerTestCase(|ProvisionedLayersProjectTestCase|): > .... > ... > def test_import_layer(self): > client.post(reverse('xhr_importlayer',..... > > ... > > We can then use the JSON response from the client to help validate the > data coming back as well as checking the import layer actually entered th= e > database. > > There are a few examples in the yocto error-report-web project too that > might be useful to look at e.g. > > http://git.yoctoproject.org/cgit/cgit.cgi/error-report-web/tree/Post/test= .py#n153 > < > http://git.yoctoproject.org/cgit/cgit.cgi/error-report-web/tree/Post/test= .py#n153 > > > > You can run the test by doing running ./manage.py test toastergui > > Thank you Michael for such a detailed step to follow. I have started reading the docs from django mentioned in the link and the reference mentioned in the mail. Thanks, Sujith H --=20 =E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0=B4=B0= =E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D Bangalore Contributor to KDE project http://fci.wikia.com/wiki/Anti-DRM-Campaign http://sujithh.info --001a1142a4a235ca40051c048eac Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable


On Wed, Jul 29, 2015 at 12:21 AM, Michael Wood <michael.g.wood@= intel.com> wrote:
On 27/07= /15 16:23, sujith h wrote:


On Mon, Jul 27, 2015 at 6:55 PM, Michael Wood <michael.g.wood@intel.com <mailt= o:michael.g.w= ood@intel.com>> wrote:

=C2=A0 =C2=A0 On 27/07/15 11:31, sujith h wrote:



=C2=A0 =C2=A0 =C2=A0 =C2=A0 On Mon, Jul 27, 2015 at 3:39 PM, Barros Pena, B= elen
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <belen.barros.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com>
 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com>>> wr= ote:



=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 On 27/07/2015 07:54, "sujith= h" <sujith= .h@gmail.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com>
 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com <mailto:sujith.h@gmail.com>= >>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 wrote:

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >On Fri, Jul 24, 2015 at 6:36 = PM, Barros Pena, Belen
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 ><belen.barros.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com>
 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com<= span class=3D"">
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com>>> wr= ote:
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >On 24/07/2015 13:57, "su= jith h" <su= jith.h@gmail.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com <mailto:sujith.h@gmail.com>= >>

=C2=A0 =C2=A0 =C2=A0 =C2=A0 wrote:
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >* Which version of Yocto Proj= ect you are using (fido or
=C2=A0 =C2=A0 =C2=A0 =C2=A0 master)?
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >I am using fido branch.
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >* Which release you have sele= cted for your project?
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >In the release I have selecte= d "Local Yocto Project"
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >* If you click the "view= all compatible layers" link and
=C2=A0 =C2=A0 =C2=A0 =C2=A0 in that
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 page you
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >search for meta-oe, do you ge= t any results?
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >I can see only "meta-yoc= to-bsp", "meta-yocto" and
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 "openembedded-core". =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >Attached screenshot of the sa= me.
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >Also attaching screenshot of = page where I try to import
=C2=A0 =C2=A0 =C2=A0 =C2=A0 meta-oe
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 from my
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >locally cloned location.
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >Below is the file structure I= have:
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >sujith@kdekid:~/MEL/homework$= pwd
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >/home/sujith/MEL/homework
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >sujith@kdekid:~/MEL/homework$= ls -l
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >total 5180
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >drwxrwxr-x 19 sujith sujith= =C2=A0 =C2=A0 4096 Jun 12 18:40
=C2=A0 =C2=A0 =C2=A0 =C2=A0 meta-oe-local
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >drwxrwxr-x 19 sujith sujith= =C2=A0 =C2=A0 4096 Jul 24 18:04
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 meta-openembedded-local
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >drwxrwxr-x=C2=A0 8 sujith suj= ith=C2=A0 =C2=A0 4096 Jul 24 18:02
=C2=A0 =C2=A0 =C2=A0 =C2=A0 meta-qt5-local
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >drwxrwxr-x 11 sujith sujith= =C2=A0 =C2=A0 4096 Jul 27 12:07 poky
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >drwxrwxr-x=C2=A0 2 sujith suj= ith=C2=A0 =C2=A0 4096 Jul 27 12:08
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 toaster_build_artifacts
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >-rw-r--r--=C2=A0 1 sujith suj= ith 5277696 Jul 27 12:19
=C2=A0 =C2=A0 =C2=A0 =C2=A0 toaster.sqlite
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >drwxrwxr-x=C2=A0 6 sujith suj= ith=C2=A0 =C2=A0 4096 Jul 24 16:25 venv
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >sujith@kdekid:~/MEL/homework$=
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 Right, I've managed to reprod= uce this. Looking at the browser
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 console, it
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 might be a problem with the javas= cript doing the layer name
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 validation. If
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 you change the layer name to some= thing completely random
=C2=A0 =C2=A0 =C2=A0 =C2=A0 that does not
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 exist in the Toaster database (so= mething like meta-xyz),
=C2=A0 =C2=A0 =C2=A0 =C2=A0 can you
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 import
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 the layer?


=C2=A0 =C2=A0 =C2=A0 =C2=A0 Am bit new to the web world. So I gave a try wi= th firebug to
=C2=A0 =C2=A0 =C2=A0 =C2=A0 debug which script ( Javascript or any ) call h= appens
=C2=A0 =C2=A0 =C2=A0 =C2=A0 when I click "Import=C2=A0 and add to proj= ect" button. Even after
=C2=A0 =C2=A0 =C2=A0 =C2=A0 changing meta-oe repo to meta-xyz as per sugges= tion,
=C2=A0 =C2=A0 =C2=A0 =C2=A0 the result remains same. But this is the output= I see in the
=C2=A0 =C2=A0 =C2=A0 =C2=A0 firebug console:
=C2=A0 =C2=A0 =C2=A0 =C2=A0 |{"current_id": 5, "current_url&= quot;:
=C2=A0 =C2=A0 =C2=A0 =C2=A0 "git://git.openembedde= d.org/meta-openembedded
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <http://git.openembedded= .org/meta-openembedded>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <http://git.openembedded= .org/meta-openembedded>", "error":
=C2=A0 =C2=A0 =C2=A0 =C2=A0 "hint-layer-exists-with-different-url"= ;||}|
=C2=A0 =C2=A0 =C2=A0 =C2=A0 hint-layer-exists-with-different-url

=C2=A0 =C2=A0 =C2=A0 =C2=A0 Also attaching the screenshot of the same ( to = get more clarity ).


=C2=A0 =C2=A0 Thanks for this, I noticed this wasn't working properly l= ast week,
=C2=A0 =C2=A0 and rolled a couple of patches to fix these regressions.


=C2=A0 =C2=A0 http= ://git.yoctoproject.org/cgit/cgit.cgi/poky-contrib/commit/?h=3Dmichaelw/toa= ster/wip-nav-project-changes&id=3D0181c56dd608427c0a7bd986df75bf7a1189e= 064

=C2=A0 =C2=A0 and


=C2=A0 =C2=A0 http= ://git.yoctoproject.org/cgit/cgit.cgi/poky-contrib/commit/?h=3Dmichaelw/toa= ster/wip-nav-project-changes&id=3Daa5b023f03f5465ea22318a1f21199ce434eb= 700

=C2=A0 =C2=A0 I have a few other things to fix on this branch as I have bee= n
=C2=A0 =C2=A0 fixing a number of things to allow me to test the new project=
=C2=A0 =C2=A0 page, I'm intending to roll a separate branch for review = on it.

=C2=A0 =C2=A0 You've highlighted that we need a unit test which does a = layer
=C2=A0 =C2=A0 import using the back end API calls, which although it wouldn= 't
=C2=A0 =C2=A0 have caught this error would be really good to have, if you&#= 39;re
=C2=A0 =C2=A0 interested in helping with that?


It would be my pleasure to help :) I might need some assistance as I am lea= rning Django. May be some hint like where to start with or so.


This is the best place to start
https://docs.djangoproject.com/en/1.6/= topics/testing/overview/

In ./bitbake <https://git.yoctoprojec= t.org/cgit/cgit.cgi/poky/tree/bitbake>/lib <https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitb= ake/lib>/toaster <= https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake/lib/toaster>/toastergui <https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake/lib/toaste= r/toastergui>/tests.py <https://git.yoctoproject.org/cgit/cgit.cgi/poky/t= ree/bitbake/lib/toaster/toastergui/tests.py>

We can add something like

class ImportLayerTestCase(|ProvisionedLayersProjectTestCase|):
....
...
=C2=A0 =C2=A0 def test_import_layer(self):
=C2=A0 =C2=A0 =C2=A0 =C2=A0 client.post(reverse('xhr_importlayer',.= ....

...

We can then use the JSON response from the client to help validate the data= coming back as well as checking the import layer actually entered the data= base.

There are a few examples in the yocto error-report-web project too that mig= ht be useful to look at e.g.
=C2=A0http://git.yo= ctoproject.org/cgit/cgit.cgi/error-report-web/tree/Post/test.py#n153 &l= t;http://git.yoctop= roject.org/cgit/cgit.cgi/error-report-web/tree/Post/test.py#n153>
You can run the test by doing running ./manage.py test toastergui


Thank you Michael for such a detailed = step to follow. I have started reading the docs from django mentioned in th= e link and the reference mentioned in the mail.

Thanks,
Sujith H


--
=E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5= =8D =E0=B4=B9=E0=B4=B0=E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5= =8D
Bangalore
<Project>Contributor to KDE project
http://fci.= wikia.com/wiki/Anti-DRM-Campaign
<Blog> http://sujithh.info
--001a1142a4a235ca40051c048eac-- From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: by yocto-www.yoctoproject.org (Postfix, from userid 118) id 5B9D6E00B56; Fri, 31 Jul 2015 06:07:20 -0700 (PDT) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on yocto-www.yoctoproject.org X-Spam-Level: X-Spam-Status: No, score=-2.7 required=5.0 tests=BAYES_00,DKIM_SIGNED, DKIM_VALID,DKIM_VALID_AU,FREEMAIL_FROM,HTML_MESSAGE,RCVD_IN_DNSWL_LOW autolearn=ham version=3.3.1 X-Spam-HAM-Report: * 0.0 FREEMAIL_FROM Sender email is commonly abused enduser mail provider * (sujith.h[at]gmail.com) * -0.7 RCVD_IN_DNSWL_LOW RBL: Sender listed at http://www.dnswl.org/, low * trust * [209.85.220.182 listed in list.dnswl.org] * -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% * [score: 0.0000] * 0.0 HTML_MESSAGE BODY: HTML included in message * -0.1 DKIM_VALID_AU Message has a valid DKIM or DK signature from author's * domain * 0.1 DKIM_SIGNED Message has a DKIM or DK signature, not necessarily * valid * -0.1 DKIM_VALID Message has at least one valid DKIM or DK signature Received: from mail-qk0-f182.google.com (mail-qk0-f182.google.com [209.85.220.182]) by yocto-www.yoctoproject.org (Postfix) with ESMTP id DD365E00B34 for ; Fri, 31 Jul 2015 06:07:15 -0700 (PDT) Received: by qkdv3 with SMTP id v3so28662788qkd.3 for ; Fri, 31 Jul 2015 06:07:15 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:from:date:message-id:subject:to :cc:content-type; bh=7p0/u67ftV/AWGG5Cvofczj2Usa6aS+TUgo8jBy9E6Y=; b=NXHeVPZ4mMqf4u9T8KUWgeGBxnd2m2LYqaLRy4dWVCTKTxUFHtAFUMHnqRaUsiBTu8 Af7RaGZ+0ZLMJ3ATFFwlL7pvB+KIoLZ2YG3pFypLs/Q7L9l+nAdVyTDkkUKTKZ3CXy0C SflSm9+I4YnuZ2ae6ShL1qYFk5qO7PKOmUwyKyvCULVQllRqQHsyyXOWF1/kN0d+pikw IJAGm+OQR5xcWJHA0PCjb9vJv7LTOUZQJ82b5xEBG2lyiDGROgnCWNIzaJZUC8Bn/+42 i28anw1JiMJW153BepvWBVmh5VG1gn1wqdReIpJXNc1qnRUNWkY8Wnh0FyvNebNFMlQV 3IBg== X-Received: by 10.55.33.151 with SMTP id f23mr3748949qki.83.1438348035000; Fri, 31 Jul 2015 06:07:15 -0700 (PDT) MIME-Version: 1.0 Received: by 10.96.138.226 with HTTP; Fri, 31 Jul 2015 06:06:55 -0700 (PDT) In-Reply-To: References: <55B6312D.1000801@intel.com> <55B7CF14.7000409@intel.com> From: sujith h Date: Fri, 31 Jul 2015 18:36:55 +0530 Message-ID: To: Michael Wood Cc: toaster@yoctoproject.org Subject: Re: Usage of already cloned layers in toaster X-BeenThere: toaster@yoctoproject.org X-Mailman-Version: 2.1.13 Precedence: list List-Id: Web based interface for BitBake List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Fri, 31 Jul 2015 13:07:20 -0000 Content-Type: multipart/alternative; boundary=001a1144d354b08f49051c2b7f5f --001a1144d354b08f49051c2b7f5f Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable On Wed, Jul 29, 2015 at 8:09 PM, sujith h wrote: > > > On Wed, Jul 29, 2015 at 12:21 AM, Michael Wood > wrote: > >> On 27/07/15 16:23, sujith h wrote: >> >>> >>> >>> On Mon, Jul 27, 2015 at 6:55 PM, Michael Wood >> > wrote: >>> >>> On 27/07/15 11:31, sujith h wrote: >>> >>> >>> >>> On Mon, Jul 27, 2015 at 3:39 PM, Barros Pena, Belen >>> >> >>> >> >> wrote: >>> >>> >>> >>> On 27/07/2015 07:54, "sujith h" >> >>> >> >>> wrote: >>> >>> > >>> > >>> >On Fri, Jul 24, 2015 at 6:36 PM, Barros Pena, Belen >>> >>> >>> >> >> wrote: >>> > >>> > >>> > >>> >On 24/07/2015 13:57, "sujith h" >> >>> >> >>> >>> wrote: >>> > >>> > >>> >* Which version of Yocto Project you are using (fido or >>> master)? >>> > >>> >I am using fido branch. >>> > >>> > >>> >* Which release you have selected for your project? >>> > >>> > >>> >In the release I have selected "Local Yocto Project" >>> > >>> > >>> >* If you click the "view all compatible layers" link and >>> in that >>> page you >>> >search for meta-oe, do you get any results? >>> > >>> >I can see only "meta-yocto-bsp", "meta-yocto" and >>> "openembedded-core". >>> >Attached screenshot of the same. >>> > >>> > >>> >Also attaching screenshot of page where I try to import >>> meta-oe >>> from my >>> >locally cloned location. >>> > >>> > >>> >Below is the file structure I have: >>> > >>> >sujith@kdekid:~/MEL/homework$ pwd >>> >/home/sujith/MEL/homework >>> >sujith@kdekid:~/MEL/homework$ ls -l >>> >total 5180 >>> >drwxrwxr-x 19 sujith sujith 4096 Jun 12 18:40 >>> meta-oe-local >>> >drwxrwxr-x 19 sujith sujith 4096 Jul 24 18:04 >>> meta-openembedded-local >>> >drwxrwxr-x 8 sujith sujith 4096 Jul 24 18:02 >>> meta-qt5-local >>> >drwxrwxr-x 11 sujith sujith 4096 Jul 27 12:07 poky >>> >drwxrwxr-x 2 sujith sujith 4096 Jul 27 12:08 >>> toaster_build_artifacts >>> >-rw-r--r-- 1 sujith sujith 5277696 Jul 27 12:19 >>> toaster.sqlite >>> >drwxrwxr-x 6 sujith sujith 4096 Jul 24 16:25 venv >>> >sujith@kdekid:~/MEL/homework$ >>> > >>> >>> Right, I've managed to reproduce this. Looking at the brows= er >>> console, it >>> might be a problem with the javascript doing the layer name >>> validation. If >>> you change the layer name to something completely random >>> that does not >>> exist in the Toaster database (something like meta-xyz), >>> can you >>> import >>> the layer? >>> >>> >>> Am bit new to the web world. So I gave a try with firebug to >>> debug which script ( Javascript or any ) call happens >>> when I click "Import and add to project" button. Even after >>> changing meta-oe repo to meta-xyz as per suggestion, >>> the result remains same. But this is the output I see in the >>> firebug console: >>> |{"current_id": 5, "current_url": >>> "git://git.openembedded.org/meta-openembedded >>> >>> ", "error": >>> "hint-layer-exists-with-different-url"||}| >>> hint-layer-exists-with-different-url >>> >>> Also attaching the screenshot of the same ( to get more clarity >>> ). >>> >>> >>> Thanks for this, I noticed this wasn't working properly last week, >>> and rolled a couple of patches to fix these regressions. >>> >>> >>> >>> http://git.yoctoproject.org/cgit/cgit.cgi/poky-contrib/commit/?h=3Dmich= aelw/toaster/wip-nav-project-changes&id=3D0181c56dd608427c0a7bd986df75bf7a1= 189e064 >>> >>> and >>> >>> >>> >>> http://git.yoctoproject.org/cgit/cgit.cgi/poky-contrib/commit/?h=3Dmich= aelw/toaster/wip-nav-project-changes&id=3Daa5b023f03f5465ea22318a1f21199ce4= 34eb700 >>> >>> I have a few other things to fix on this branch as I have been >>> fixing a number of things to allow me to test the new project >>> page, I'm intending to roll a separate branch for review on it. >>> >>> You've highlighted that we need a unit test which does a layer >>> import using the back end API calls, which although it wouldn't >>> have caught this error would be really good to have, if you're >>> interested in helping with that? >>> >>> >>> It would be my pleasure to help :) I might need some assistance as I am >>> learning Django. May be some hint like where to start with or so. >>> >>> >> This is the best place to start >> https://docs.djangoproject.com/en/1.6/topics/testing/overview/ >> >> In ./bitbake < >> https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake>/lib < >> https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake/lib>/toaste= r >> /toastergui >> < >> https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake/lib/toaster= /toastergui>/tests.py >> < >> https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake/lib/toaster= /toastergui/tests.py >> > >> >> We can add something like >> >> class ImportLayerTestCase(|ProvisionedLayersProjectTestCase|): >> .... >> ... >> def test_import_layer(self): >> client.post(reverse('xhr_importlayer',..... >> >> ... >> >> We can then use the JSON response from the client to help validate the >> data coming back as well as checking the import layer actually entered t= he >> database. >> >> There are a few examples in the yocto error-report-web project too that >> might be useful to look at e.g. >> >> http://git.yoctoproject.org/cgit/cgit.cgi/error-report-web/tree/Post/tes= t.py#n153 >> < >> http://git.yoctoproject.org/cgit/cgit.cgi/error-report-web/tree/Post/tes= t.py#n153 >> > >> >> You can run the test by doing running ./manage.py test toastergui >> >> > Thank you Michael for such a detailed step to follow. I have started > reading the docs from django mentioned in the link and the reference > mentioned in the mail. > I wrote a small piece of code in bitbake/lib/toaster/toastergui/tests.py. Below is the code ( since I have written a small code, I thought to share here. Kindly let me know if there is any problem sharing small code in the mailing list ): ---------- from django.test import TestCase from django.test.client import Client from django.core.urlresolvers import reverse import json class ImportLayerTestCase(TestCase): def test_import_layers(self): client =3D Client() json_string =3D json.dumps({'name':'meta-oe', 'vcs-url':'/home/sujith/MEL/homework/meta-xyz', 'git_ref':'c12b9596afd236116b25ce26dbe0d793de9dc7ce', 'dir_path':'/home/sujith/MEL/homework/meta-xyz/meta-oe', 'project_id':'1', 'layer_deps':'1'}) response =3D client.post(reverse('xhr_importlayer'), {'data':json_string}, 'json', HTTP_X_REQUESTED_WITH=3D'XMLHttpRequest') ------------- Let me know if I am in the right track. After following your mail and bit of google, helped me in writing this code. My query here is when I try to print response, it prints an html as follows: ------------ Content-Type: text/html; charset=3Dutf-8 Toaster
3D"Yocto Toaster Toaster version information" data-content=3D"
Branch
fido
Revision
08d32590411568e7bf11612ac695a6e9c6df6286
Mode
Analysis
"> Toaster manual

This page only works with Toaster in 'Build' mode

The 'Build' mode allows you to configure and run your Yocto Project builds from Toaster.

------------ My query here is whether the arguments passed to client.post is correct? And if so any hint how to use this response to get the error which we were getting from importlayer.js? Sorry if my query is really stupid :) Thanks, Sujith H --=20 =E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0=B4=B0= =E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D Bangalore Contributor to KDE project http://fci.wikia.com/wiki/Anti-DRM-Campaign http://sujithh.info --001a1144d354b08f49051c2b7f5f Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable


On Wed, Jul 29, 2015 at 8:09 PM, sujith h <sujith.h@gmail.com>= wrote:


On Wed, Jul 29, 2015 at 12:21 AM, Michael Wood <michael.g.wood@int= el.com> wrote:
On 27/07/15 = 16:23, sujith h wrote:


On Mon, Jul 27, 2015 at 6:55 PM, Michael Wood <michael.g.wood@intel.com <mailt= o:michael.g.w= ood@intel.com>> wrote:

=C2=A0 =C2=A0 On 27/07/15 11:31, sujith h wrote:



=C2=A0 =C2=A0 =C2=A0 =C2=A0 On Mon, Jul 27, 2015 at 3:39 PM, Barros Pena, B= elen
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <belen.barros.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com>
 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com>>> wr= ote:



=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 On 27/07/2015 07:54, "sujith= h" <sujith= .h@gmail.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com>
 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com <mailto:sujith.h@gmail.com>= >>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 wrote:

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >On Fri, Jul 24, 2015 at 6:36 = PM, Barros Pena, Belen
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 ><belen.barros.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com>
 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com<= span>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com>>> wr= ote:
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >On 24/07/2015 13:57, "su= jith h" <su= jith.h@gmail.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com <mailto:sujith.h@gmail.com>= >>

=C2=A0 =C2=A0 =C2=A0 =C2=A0 wrote:
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >* Which version of Yocto Proj= ect you are using (fido or
=C2=A0 =C2=A0 =C2=A0 =C2=A0 master)?
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >I am using fido branch.
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >* Which release you have sele= cted for your project?
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >In the release I have selecte= d "Local Yocto Project"
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >* If you click the "view= all compatible layers" link and
=C2=A0 =C2=A0 =C2=A0 =C2=A0 in that
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 page you
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >search for meta-oe, do you ge= t any results?
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >I can see only "meta-yoc= to-bsp", "meta-yocto" and
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 "openembedded-core". =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >Attached screenshot of the sa= me.
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >Also attaching screenshot of = page where I try to import
=C2=A0 =C2=A0 =C2=A0 =C2=A0 meta-oe
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 from my
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >locally cloned location.
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >Below is the file structure I= have:
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >sujith@kdekid:~/MEL/homework$= pwd
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >/home/sujith/MEL/homework
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >sujith@kdekid:~/MEL/homework$= ls -l
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >total 5180
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >drwxrwxr-x 19 sujith sujith= =C2=A0 =C2=A0 4096 Jun 12 18:40
=C2=A0 =C2=A0 =C2=A0 =C2=A0 meta-oe-local
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >drwxrwxr-x 19 sujith sujith= =C2=A0 =C2=A0 4096 Jul 24 18:04
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 meta-openembedded-local
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >drwxrwxr-x=C2=A0 8 sujith suj= ith=C2=A0 =C2=A0 4096 Jul 24 18:02
=C2=A0 =C2=A0 =C2=A0 =C2=A0 meta-qt5-local
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >drwxrwxr-x 11 sujith sujith= =C2=A0 =C2=A0 4096 Jul 27 12:07 poky
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >drwxrwxr-x=C2=A0 2 sujith suj= ith=C2=A0 =C2=A0 4096 Jul 27 12:08
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 toaster_build_artifacts
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >-rw-r--r--=C2=A0 1 sujith suj= ith 5277696 Jul 27 12:19
=C2=A0 =C2=A0 =C2=A0 =C2=A0 toaster.sqlite
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >drwxrwxr-x=C2=A0 6 sujith suj= ith=C2=A0 =C2=A0 4096 Jul 24 16:25 venv
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >sujith@kdekid:~/MEL/homework$=
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 Right, I've managed to reprod= uce this. Looking at the browser
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 console, it
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 might be a problem with the javas= cript doing the layer name
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 validation. If
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 you change the layer name to some= thing completely random
=C2=A0 =C2=A0 =C2=A0 =C2=A0 that does not
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 exist in the Toaster database (so= mething like meta-xyz),
=C2=A0 =C2=A0 =C2=A0 =C2=A0 can you
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 import
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 the layer?


=C2=A0 =C2=A0 =C2=A0 =C2=A0 Am bit new to the web world. So I gave a try wi= th firebug to
=C2=A0 =C2=A0 =C2=A0 =C2=A0 debug which script ( Javascript or any ) call h= appens
=C2=A0 =C2=A0 =C2=A0 =C2=A0 when I click "Import=C2=A0 and add to proj= ect" button. Even after
=C2=A0 =C2=A0 =C2=A0 =C2=A0 changing meta-oe repo to meta-xyz as per sugges= tion,
=C2=A0 =C2=A0 =C2=A0 =C2=A0 the result remains same. But this is the output= I see in the
=C2=A0 =C2=A0 =C2=A0 =C2=A0 firebug console:
=C2=A0 =C2=A0 =C2=A0 =C2=A0 |{"current_id": 5, "current_url&= quot;:
=C2=A0 =C2=A0 =C2=A0 =C2=A0 "git://git.openembedde= d.org/meta-openembedded
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <http://git.openembedded= .org/meta-openembedded>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <http://git.openembedded= .org/meta-openembedded>", "error":
=C2=A0 =C2=A0 =C2=A0 =C2=A0 "hint-layer-exists-with-different-url"= ;||}|
=C2=A0 =C2=A0 =C2=A0 =C2=A0 hint-layer-exists-with-different-url

=C2=A0 =C2=A0 =C2=A0 =C2=A0 Also attaching the screenshot of the same ( to = get more clarity ).


=C2=A0 =C2=A0 Thanks for this, I noticed this wasn't working properly l= ast week,
=C2=A0 =C2=A0 and rolled a couple of patches to fix these regressions.


=C2=A0 =C2=A0 http= ://git.yoctoproject.org/cgit/cgit.cgi/poky-contrib/commit/?h=3Dmichaelw/toa= ster/wip-nav-project-changes&id=3D0181c56dd608427c0a7bd986df75bf7a1189e= 064

=C2=A0 =C2=A0 and


=C2=A0 =C2=A0 http= ://git.yoctoproject.org/cgit/cgit.cgi/poky-contrib/commit/?h=3Dmichaelw/toa= ster/wip-nav-project-changes&id=3Daa5b023f03f5465ea22318a1f21199ce434eb= 700

=C2=A0 =C2=A0 I have a few other things to fix on this branch as I have bee= n
=C2=A0 =C2=A0 fixing a number of things to allow me to test the new project=
=C2=A0 =C2=A0 page, I'm intending to roll a separate branch for review = on it.

=C2=A0 =C2=A0 You've highlighted that we need a unit test which does a = layer
=C2=A0 =C2=A0 import using the back end API calls, which although it wouldn= 't
=C2=A0 =C2=A0 have caught this error would be really good to have, if you&#= 39;re
=C2=A0 =C2=A0 interested in helping with that?


It would be my pleasure to help :) I might need some assistance as I am lea= rning Django. May be some hint like where to start with or so.


This is the best place to start
https://docs.djangoproject.com/en/1.6/= topics/testing/overview/

In ./bitbake <https://git.yoctoprojec= t.org/cgit/cgit.cgi/poky/tree/bitbake>/lib <https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitb= ake/lib>/toaster <= https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake/lib/toaster>/toastergui <https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake/lib/toaste= r/toastergui>/tests.py <https://git.yoctoproject.org/cgit/cgit.cgi/poky/t= ree/bitbake/lib/toaster/toastergui/tests.py>

We can add something like

class ImportLayerTestCase(|ProvisionedLayersProjectTestCase|):
....
...
=C2=A0 =C2=A0 def test_import_layer(self):
=C2=A0 =C2=A0 =C2=A0 =C2=A0 client.post(reverse('xhr_importlayer',.= ....

...

We can then use the JSON response from the client to help validate the data= coming back as well as checking the import layer actually entered the data= base.

There are a few examples in the yocto error-report-web project too that mig= ht be useful to look at e.g.
=C2=A0http://git.yo= ctoproject.org/cgit/cgit.cgi/error-report-web/tree/Post/test.py#n153 &l= t;http://git.yoctop= roject.org/cgit/cgit.cgi/error-report-web/tree/Post/test.py#n153>
You can run the test by doing running ./manage.py test toastergui


Thank you Michael for such= a detailed step to follow. I have started reading the docs from django men= tioned in the link and the reference mentioned in the mail.
=

I wrote a small piece of code = in bitbake/lib/toaster/toastergui/tests.py. Below is the code ( since I hav= e written a small code, I thought to share here. Kindly let me know if ther= e is any problem sharing small code in the mailing list ):
----------from django.test import TestCase
from django.test.client import Client<= br>from django.core.urlresolvers import reverse
import json


c= lass ImportLayerTestCase(TestCase):
=C2=A0=C2=A0=C2=A0 def test_import_l= ayers(self):
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 client =3D Clien= t()
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 json_string =3D json.dump= s({'name':'meta-oe',
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0 'vcs-url':'/home/sujith/MEL/homework/meta-xy= z',
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 'git_re= f':'c12b9596afd236116b25ce26dbe0d793de9dc7ce',
=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 'dir_path':'/home/sujit= h/MEL/homework/meta-xyz/meta-oe',
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0 'project_id':'1', 'layer_deps':&= #39;1'})
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 response =3D cli= ent.post(reverse('xhr_importlayer'),
=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0 {'data':json_string},
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= 'json',
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 HTTP_X_REQUESTED_WIT= H=3D'XMLHttpRequest')
-------------

Let me kno= w if I am in the right track. After following your mail and bit of google, = helped me in writing this code. My query here is when I try to print respon= se, it prints an html as follows:

------------
Content-Type: text= /html; charset=3Dutf-8

<!DOCTYPE html>

<html lang=3D= "en">
=C2=A0=C2=A0=C2=A0 <head>
=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0 <title>Toaster</title>
<link rel= =3D"stylesheet" href=3D"/static/css/bootstrap.min.css" = type=3D"text/css"/>
<link rel=3D"stylesheet" h= ref=3D"/static/css/bootstrap-responsive.min.css" type=3D'text= /css'/>
<link rel=3D"stylesheet" href=3D"/stati= c/css/font-awesome.min.css" type=3D'text/css'/>
<link= rel=3D"stylesheet" href=3D"/static/css/prettify.css" t= ype=3D'text/css'/>
<link rel=3D"stylesheet" href= =3D"/static/css/default.css" type=3D'text/css'/>
<meta name=3D"viewport" content=3D"width=3Ddevice-width= , initial-scale=3D1.0" />
<meta http-equiv=3D"Content-Ty= pe" content=3D"text/html;charset=3DUTF-8" />
<scrip= t src=3D"/static/js/jquery-2.0.3.min.js">
</script><script src=3D"/static/js/jquery.cookie.js">
</scri= pt>
<script src=3D"/static/js/bootstrap.min.js">
&= lt;/script>
<script src=3D"/static/js/prettify.js"></script>
<script src=3D"/static/js/libtoaster.js"&= gt;
</script>

<script>
=C2=A0 libtoaster.debug =3D= true;
=C2=A0</script>

<script src=3D"/static/js/ba= se.js"></script>

<script>

</script>=



=C2=A0=C2=A0=C2=A0 </head>

<body style=3D&q= uot;height: 100%">
<div class=3D"navbar navbar-static-to= p">
=C2=A0=C2=A0=C2=A0 <div class=3D"navbar-inner"&= gt;
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 &= lt;a class=3D"brand logo" href=3D"#"><img src=3D&= quot;/static/img/logo.png" class=3D"" alt=3D"Yocto logo= project"/></a>
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0 <span class=3D"brand">
=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0 <a href=3D"/">Toaster</a>
=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 <i class=3D"icon-i= nfo-sign" title=3D"<strong>Toaster version information</= strong>" data-content=3D"<dl><dt>Branch</dt>= <dd>fido
</dd><dt>Revision</dt><dd>08d3259= 0411568e7bf11612ac695a6e9c6df6286
</dd><dt>Mode</dt>&l= t;dd>Analysis</dd></dl>"></i>
=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 = </span>
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0 <a class=3D"pull-right manual" target=3D"_blank= " href=3D"http://www.yoctoproject.org/docs/latest/toa= ster-manual/toaster-manual.html">
=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 <i cl= ass=3D"icon-book"></i>
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 Toaster manual=
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 <= /a>
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0

=C2=A0=C2=A0=C2=A0 </div>
</div>

<div = class=3D"container-fluid">


=C2=A0 <div class=3D&= quot;container-fluid">
=C2=A0=C2=A0 <div class=3D"row-fl= uid">
=C2=A0=C2=A0=C2=A0 <!-- Empty - no build module --><= br>=C2=A0=C2=A0=C2=A0 <div class=3D"page-header top-air">=C2=A0=C2=A0=C2=A0=C2=A0 <h1>
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0 This page only works with Toaster in 'Build' mode
=C2=A0=C2= =A0=C2=A0=C2=A0 </h1>
=C2=A0=C2=A0=C2=A0 </div>
=C2=A0=C2= =A0=C2=A0 <div class=3D"alert alert-info lead">
=C2=A0= =C2=A0=C2=A0=C2=A0 <p">
=C2=A0=C2=A0=C2=A0=C2=A0 The 'Bui= ld' mode allows you to configure and run your Yocto Project builds from= Toaster.
=C2=A0=C2=A0=C2=A0=C2=A0 <ul>
=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0 <li><a href=3D"http:/= /www.yoctoproject.org/docs/latest/toaster-manual/toaster-manual.html#intro-= modes">
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 Read about the = 'Build' mode
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 </a><= /li>
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 <li><a href=3D&quo= t;/">
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 View your builds
= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 </a></li>
=C2=A0=C2=A0= =C2=A0=C2=A0 </ul>
=C2=A0=C2=A0=C2=A0=C2=A0 </p>
=C2=A0= =C2=A0=C2=A0 </div>
=C2=A0=C2=A0 </div>


</div&= gt;
</body>
</html>
------------

My query here is whether the arguments passed to client.post is cor= rect? And if so any hint how to use this response to get the error which we= were getting from importlayer.js?
Sorry if my query is reall= y stupid :)

Thanks,
Sujith H
= =C2=A0

--
=E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0=B4= =B0=E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D
Bangalore
&= lt;Project>Contributor to KDE project
http://fci.wikia.com/wiki/Anti-D= RM-Campaign
<Blog> http://sujithh.info
--001a1144d354b08f49051c2b7f5f-- From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: by yocto-www.yoctoproject.org (Postfix, from userid 118) id 31D66E00461; Mon, 3 Aug 2015 03:26:13 -0700 (PDT) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on yocto-www.yoctoproject.org X-Spam-Level: X-Spam-Status: No, score=-2.6 required=5.0 tests=BAYES_00,RCVD_IN_DNSWL_LOW autolearn=ham version=3.3.1 X-Spam-HAM-Report: * -0.7 RCVD_IN_DNSWL_LOW RBL: Sender listed at http://www.dnswl.org/, low * trust * [209.85.212.170 listed in list.dnswl.org] * -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% * [score: 0.0000] Received: from mail-wi0-f170.google.com (mail-wi0-f170.google.com [209.85.212.170]) by yocto-www.yoctoproject.org (Postfix) with ESMTP id B3047E00349 for ; Mon, 3 Aug 2015 03:26:08 -0700 (PDT) Received: by wicgj17 with SMTP id gj17so98511095wic.1 for ; Mon, 03 Aug 2015 03:26:07 -0700 (PDT) X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20130820; h=x-gm-message-state:message-id:date:from:user-agent:mime-version:to :cc:subject:references:in-reply-to:content-type :content-transfer-encoding; bh=ZgVNxljEk6WfrGeKFvnRESYd+4RcA/U4ujseiD6xImo=; b=NptIoI6i5T+z26FYj4FA9DseGEoVIEv8oMIPXRgMrKm18HgPxPraTV2yRega94nPLD YNeq/K4PIViQz2Wvv8g5ROxaMqy956GjOu0zwkIsjse3kIoMLBCWo/WhgQky2LvAnqIW bAib7tFTbQ63tfpyaK+aVqTW5uZIIck7pQoVHYHxDM3Snbov/2mI5lj4adsTDs13recp MaiH23M99NOXjy5jZs3AUBU1WzzW1MW2t7xJn3MHf6ZeTRo9dHF2yvxKfy5axUcU4MZ2 MBJUml5+t2sQ1Jy9gk9G6MRDFvYl0DinO98DRxNkQwaS1ed+xe+7XJk1S4fhpdBqOg6b pfWQ== X-Gm-Message-State: ALoCoQnUpXu8314y8Y4Px8SG3UQNhWydyibrmzeA7E8Ekm9iYogAWoOU0c+foaV1NfICDXbWu2lb X-Received: by 10.180.84.194 with SMTP id b2mr32654946wiz.24.1438597567856; Mon, 03 Aug 2015 03:26:07 -0700 (PDT) Received: from [192.168.2.72] ([83.217.123.106]) by smtp.googlemail.com with ESMTPSA id gc4sm12809880wib.23.2015.08.03.03.26.05 (version=TLSv1.2 cipher=ECDHE-RSA-AES128-GCM-SHA256 bits=128/128); Mon, 03 Aug 2015 03:26:06 -0700 (PDT) Message-ID: <55BF41BD.5000500@intel.com> Date: Mon, 03 Aug 2015 11:26:05 +0100 From: Michael Wood User-Agent: Mozilla/5.0 (X11; Linux x86_64; rv:31.0) Gecko/20100101 Thunderbird/31.8.0 MIME-Version: 1.0 To: sujith h References: <55B6312D.1000801@intel.com> <55B7CF14.7000409@intel.com> In-Reply-To: Cc: toaster@yoctoproject.org Subject: Re: Usage of already cloned layers in toaster X-BeenThere: toaster@yoctoproject.org X-Mailman-Version: 2.1.13 Precedence: list List-Id: Web based interface for BitBake List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 03 Aug 2015 10:26:13 -0000 Content-Type: text/plain; charset=utf-8; format=flowed Content-Transfer-Encoding: 7bit On 31/07/15 14:06, sujith h wrote: > > > On Wed, Jul 29, 2015 at 8:09 PM, sujith h > wrote: > > > > On Wed, Jul 29, 2015 at 12:21 AM, Michael Wood > > wrote: > > On 27/07/15 16:23, sujith h wrote: > > > > On Mon, Jul 27, 2015 at 6:55 PM, Michael Wood > > >> wrote: > > On 27/07/15 11:31, sujith h wrote: > > > > On Mon, Jul 27, 2015 at 3:39 PM, Barros Pena, Belen > > > > > >>> wrote: > > > > On 27/07/2015 07:54, "sujith h" > > > > >>> > wrote: > > > > > > >On Fri, Jul 24, 2015 at 6:36 PM, Barros Pena, > Belen > > > > > > >>> wrote: > > > > > > > >On 24/07/2015 13:57, "sujith h" > > > > >>> > > wrote: > > > > > >* Which version of Yocto Project you are > using (fido or > master)? > > > >I am using fido branch. > > > > > >* Which release you have selected for your > project? > > > > > >In the release I have selected "Local Yocto > Project" > > > > > >* If you click the "view all compatible > layers" link and > in that > page you > >search for meta-oe, do you get any results? > > > >I can see only "meta-yocto-bsp", "meta-yocto" and > "openembedded-core". > >Attached screenshot of the same. > > > > > >Also attaching screenshot of page where I try > to import > meta-oe > from my > >locally cloned location. > > > > > >Below is the file structure I have: > > > >sujith@kdekid:~/MEL/homework$ pwd > >/home/sujith/MEL/homework > >sujith@kdekid:~/MEL/homework$ ls -l > >total 5180 > >drwxrwxr-x 19 sujith sujith 4096 Jun 12 18:40 > meta-oe-local > >drwxrwxr-x 19 sujith sujith 4096 Jul 24 18:04 > meta-openembedded-local > >drwxrwxr-x 8 sujith sujith 4096 Jul 24 18:02 > meta-qt5-local > >drwxrwxr-x 11 sujith sujith 4096 Jul 27 > 12:07 poky > >drwxrwxr-x 2 sujith sujith 4096 Jul 27 12:08 > toaster_build_artifacts > >-rw-r--r-- 1 sujith sujith 5277696 Jul 27 12:19 > toaster.sqlite > >drwxrwxr-x 6 sujith sujith 4096 Jul 24 > 16:25 venv > >sujith@kdekid:~/MEL/homework$ > > > > Right, I've managed to reproduce this. Looking > at the browser > console, it > might be a problem with the javascript doing > the layer name > validation. If > you change the layer name to something > completely random > that does not > exist in the Toaster database (something like > meta-xyz), > can you > import > the layer? > > > Am bit new to the web world. So I gave a try with > firebug to > debug which script ( Javascript or any ) call happens > when I click "Import and add to project" button. > Even after > changing meta-oe repo to meta-xyz as per suggestion, > the result remains same. But this is the output I > see in the > firebug console: > |{"current_id": 5, "current_url": > "git://git.openembedded.org/meta-openembedded > > > ", > "error": > "hint-layer-exists-with-different-url"||}| > hint-layer-exists-with-different-url > > Also attaching the screenshot of the same ( to get > more clarity ). > > > Thanks for this, I noticed this wasn't working > properly last week, > and rolled a couple of patches to fix these regressions. > > > http://git.yoctoproject.org/cgit/cgit.cgi/poky-contrib/commit/?h=michaelw/toaster/wip-nav-project-changes&id=0181c56dd608427c0a7bd986df75bf7a1189e064 > > and > > > http://git.yoctoproject.org/cgit/cgit.cgi/poky-contrib/commit/?h=michaelw/toaster/wip-nav-project-changes&id=aa5b023f03f5465ea22318a1f21199ce434eb700 > > I have a few other things to fix on this branch as I > have been > fixing a number of things to allow me to test the new > project > page, I'm intending to roll a separate branch for > review on it. > > You've highlighted that we need a unit test which does > a layer > import using the back end API calls, which although it > wouldn't > have caught this error would be really good to have, > if you're > interested in helping with that? > > > It would be my pleasure to help :) I might need some > assistance as I am learning Django. May be some hint like > where to start with or so. > > > This is the best place to start > https://docs.djangoproject.com/en/1.6/topics/testing/overview/ > > In ./bitbake > /lib > /toaster > /toastergui > /tests.py > > > We can add something like > > class ImportLayerTestCase(|ProvisionedLayersProjectTestCase|): > .... > ... > def test_import_layer(self): > client.post(reverse('xhr_importlayer',..... > > ... > > We can then use the JSON response from the client to help > validate the data coming back as well as checking the import > layer actually entered the database. > > There are a few examples in the yocto error-report-web project > too that might be useful to look at e.g. > http://git.yoctoproject.org/cgit/cgit.cgi/error-report-web/tree/Post/test.py#n153 > > > You can run the test by doing running ./manage.py test toastergui > > > Thank you Michael for such a detailed step to follow. I have > started reading the docs from django mentioned in the link and the > reference mentioned in the mail. > > > I wrote a small piece of code in > bitbake/lib/toaster/toastergui/tests.py. Below is the code ( since I > have written a small code, I thought to share here. Kindly let me know > if there is any problem sharing small code in the mailing list ): > ---------- > from django.test import TestCase > from django.test.client import Client > from django.core.urlresolvers import reverse > import json > > > class ImportLayerTestCase(TestCase): > def test_import_layers(self): > client = Client() > json_string = json.dumps({'name':'meta-oe', > 'vcs-url':'/home/sujith/MEL/homework/meta-xyz', > 'git_ref':'c12b9596afd236116b25ce26dbe0d793de9dc7ce', > 'dir_path':'/home/sujith/MEL/homework/meta-xyz/meta-oe', > 'project_id':'1', 'layer_deps':'1'}) > response = client.post(reverse('xhr_importlayer'), > {'data':json_string}, > 'json', > HTTP_X_REQUESTED_WITH='XMLHttpRequest') > ------------- > > Let me know if I am in the right track. After following your mail and > bit of google, helped me in writing this code. My query here is when I > try to print response, it prints an html as follows: --8<-- Yep that's a good start, we currently don't actually pass IN a JSON document for the import layers call, it's just a bunch of parameters in the POST request. So instead of > json_string = json.dumps({'name':'meta-oe', you can do: data = {'name':'meta-oe', and then: response = client.post(reverse('xhr_importlayer', args(1,)), data, etc Looking at that response I'm wondering if you are you using current master branch? It seems to be showing the old response to that request where you haven't enabled build mode (which is enabled by default in current master). The response should be a JSON response where you have the returned state in it e.g. { "error" : "hint-layer-exists" } We can then parse this and test the various conditions are correct based on the data we sent it. Thanks, Michael From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: by yocto-www.yoctoproject.org (Postfix, from userid 118) id 0569CE00A90; Tue, 4 Aug 2015 03:36:08 -0700 (PDT) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on yocto-www.yoctoproject.org X-Spam-Level: X-Spam-Status: No, score=-2.7 required=5.0 tests=BAYES_00,DKIM_SIGNED, DKIM_VALID,DKIM_VALID_AU,FREEMAIL_FROM,HTML_MESSAGE,RCVD_IN_DNSWL_LOW autolearn=ham version=3.3.1 X-Spam-HAM-Report: * 0.0 FREEMAIL_FROM Sender email is commonly abused enduser mail provider * (sujith.h[at]gmail.com) * -0.7 RCVD_IN_DNSWL_LOW RBL: Sender listed at http://www.dnswl.org/, low * trust * [209.85.220.173 listed in list.dnswl.org] * -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% * [score: 0.0000] * 0.0 HTML_MESSAGE BODY: HTML included in message * -0.1 DKIM_VALID_AU Message has a valid DKIM or DK signature from author's * domain * 0.1 DKIM_SIGNED Message has a DKIM or DK signature, not necessarily * valid * -0.1 DKIM_VALID Message has at least one valid DKIM or DK signature Received: from mail-qk0-f173.google.com (mail-qk0-f173.google.com [209.85.220.173]) by yocto-www.yoctoproject.org (Postfix) with ESMTP id 83A05E00A70 for ; Tue, 4 Aug 2015 03:36:03 -0700 (PDT) Received: by qkbm65 with SMTP id m65so1446218qkb.2 for ; Tue, 04 Aug 2015 03:36:03 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:from:date:message-id:subject:to :cc:content-type; bh=6Dgk22YGkYkc9Tprb90/qKj9gaxmKOQSk/la6NJuiHs=; b=FNOwg6QqDqht6urdBY+0Mkqi+5ZLUECrAxILCBXlJLkF2VIEqGDl4OahAyd4KVWe/Z S+qY3rEEuA+QpYQnihB+GcKWI2FyWLF3RGG1qZnKPdhtkceZIZCQd1Sl5AIUVl0ZyYCR tuqGTox/WUvVGjO1mm83MW68BKcYpD6xdhQLYczyj9eLWyV3UgZ9uag8qkDkwfI/7Lkp ga01NGj+mzShTUJhewFQp3c95cGhhHuR7RZZJUHtsmf3okcQVVx9vlef8ToHm8sB28JZ SGKadOCwNlQ3ijOm29mi6TOrL2zvtIyCLTQL0dqCMYX7EHsrFVdwT+vsTCc66zf71gLr u6lg== X-Received: by 10.55.56.144 with SMTP id f138mr4289444qka.106.1438684563215; Tue, 04 Aug 2015 03:36:03 -0700 (PDT) MIME-Version: 1.0 Received: by 10.96.138.226 with HTTP; Tue, 4 Aug 2015 03:35:43 -0700 (PDT) In-Reply-To: <55BF41BD.5000500@intel.com> References: <55B6312D.1000801@intel.com> <55B7CF14.7000409@intel.com> <55BF41BD.5000500@intel.com> From: sujith h Date: Tue, 4 Aug 2015 16:05:43 +0530 Message-ID: To: Michael Wood Cc: toaster@yoctoproject.org Subject: Re: Usage of already cloned layers in toaster X-BeenThere: toaster@yoctoproject.org X-Mailman-Version: 2.1.13 Precedence: list List-Id: Web based interface for BitBake List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Tue, 04 Aug 2015 10:36:08 -0000 Content-Type: multipart/alternative; boundary=001a11474734559b91051c79da4b --001a11474734559b91051c79da4b Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable On Mon, Aug 3, 2015 at 3:56 PM, Michael Wood wrote: > On 31/07/15 14:06, sujith h wrote: > >> >> >> On Wed, Jul 29, 2015 at 8:09 PM, sujith h > sujith.h@gmail.com>> wrote: >> >> >> >> On Wed, Jul 29, 2015 at 12:21 AM, Michael Wood >> > wrote: >> >> On 27/07/15 16:23, sujith h wrote: >> >> >> >> On Mon, Jul 27, 2015 at 6:55 PM, Michael Wood >> > >> > >> >> wrote: >> >> On 27/07/15 11:31, sujith h wrote: >> >> >> >> On Mon, Jul 27, 2015 at 3:39 PM, Barros Pena, Belen >> > >> > > >> > >> > >>> wrote: >> >> >> >> On 27/07/2015 07:54, "sujith h" >> >> > > >> > > >>> >> wrote: >> >> > >> > >> >On Fri, Jul 24, 2015 at 6:36 PM, Barros Pena, >> Belen >> >> >> > > >> > >> > >>> wrote: >> > >> > >> > >> >On 24/07/2015 13:57, "sujith h" >> >> > > >> > > >>> >> >> wrote: >> > >> > >> >* Which version of Yocto Project you are >> using (fido or >> master)? >> > >> >I am using fido branch. >> > >> > >> >* Which release you have selected for your >> project? >> > >> > >> >In the release I have selected "Local Yocto >> Project" >> > >> > >> >* If you click the "view all compatible >> layers" link and >> in that >> page you >> >search for meta-oe, do you get any results? >> > >> >I can see only "meta-yocto-bsp", "meta-yocto" a= nd >> "openembedded-core". >> >Attached screenshot of the same. >> > >> > >> >Also attaching screenshot of page where I try >> to import >> meta-oe >> from my >> >locally cloned location. >> > >> > >> >Below is the file structure I have: >> > >> >sujith@kdekid:~/MEL/homework$ pwd >> >/home/sujith/MEL/homework >> >sujith@kdekid:~/MEL/homework$ ls -l >> >total 5180 >> >drwxrwxr-x 19 sujith sujith 4096 Jun 12 18:4= 0 >> meta-oe-local >> >drwxrwxr-x 19 sujith sujith 4096 Jul 24 18:0= 4 >> meta-openembedded-local >> >drwxrwxr-x 8 sujith sujith 4096 Jul 24 18:0= 2 >> meta-qt5-local >> >drwxrwxr-x 11 sujith sujith 4096 Jul 27 >> 12:07 poky >> >drwxrwxr-x 2 sujith sujith 4096 Jul 27 12:0= 8 >> toaster_build_artifacts >> >-rw-r--r-- 1 sujith sujith 5277696 Jul 27 12:1= 9 >> toaster.sqlite >> >drwxrwxr-x 6 sujith sujith 4096 Jul 24 >> 16:25 venv >> >sujith@kdekid:~/MEL/homework$ >> > >> >> Right, I've managed to reproduce this. Looking >> at the browser >> console, it >> might be a problem with the javascript doing >> the layer name >> validation. If >> you change the layer name to something >> completely random >> that does not >> exist in the Toaster database (something like >> meta-xyz), >> can you >> import >> the layer? >> >> >> Am bit new to the web world. So I gave a try with >> firebug to >> debug which script ( Javascript or any ) call happen= s >> when I click "Import and add to project" button. >> Even after >> changing meta-oe repo to meta-xyz as per suggestion, >> the result remains same. But this is the output I >> see in the >> firebug console: >> |{"current_id": 5, "current_url": >> "git://git.openembedded.org/meta-openembedded >> >> >> ", >> "error": >> "hint-layer-exists-with-different-url"||}| >> hint-layer-exists-with-different-url >> >> Also attaching the screenshot of the same ( to get >> more clarity ). >> >> >> Thanks for this, I noticed this wasn't working >> properly last week, >> and rolled a couple of patches to fix these regressions. >> >> >> >> http://git.yoctoproject.org/cgit/cgit.cgi/poky-contrib/commit/?h=3Dmicha= elw/toaster/wip-nav-project-changes&id=3D0181c56dd608427c0a7bd986df75bf7a11= 89e064 >> >> and >> >> >> >> http://git.yoctoproject.org/cgit/cgit.cgi/poky-contrib/commit/?h=3Dmicha= elw/toaster/wip-nav-project-changes&id=3Daa5b023f03f5465ea22318a1f21199ce43= 4eb700 >> >> I have a few other things to fix on this branch as I >> have been >> fixing a number of things to allow me to test the new >> project >> page, I'm intending to roll a separate branch for >> review on it. >> >> You've highlighted that we need a unit test which does >> a layer >> import using the back end API calls, which although it >> wouldn't >> have caught this error would be really good to have, >> if you're >> interested in helping with that? >> >> >> It would be my pleasure to help :) I might need some >> assistance as I am learning Django. May be some hint like >> where to start with or so. >> >> >> This is the best place to start >> https://docs.djangoproject.com/en/1.6/topics/testing/overview/ >> >> In ./bitbake >> > >/lib >> > >/toaster >> < >> https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake/lib/toaster >> >/toastergui >> < >> https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake/lib/toaster= /toastergui >> >/tests.py >> < >> https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake/lib/toaster= /toastergui/tests.py >> > >> >> We can add something like >> >> class ImportLayerTestCase(|ProvisionedLayersProjectTestCase|): >> .... >> ... >> def test_import_layer(self): >> client.post(reverse('xhr_importlayer',..... >> >> ... >> >> We can then use the JSON response from the client to help >> validate the data coming back as well as checking the import >> layer actually entered the database. >> >> There are a few examples in the yocto error-report-web project >> too that might be useful to look at e.g. >> >> http://git.yoctoproject.org/cgit/cgit.cgi/error-report-web/tree/Post/tes= t.py#n153 >> < >> http://git.yoctoproject.org/cgit/cgit.cgi/error-report-web/tree/Post/tes= t.py#n153 >> > >> >> You can run the test by doing running ./manage.py test toastergu= i >> >> >> Thank you Michael for such a detailed step to follow. I have >> started reading the docs from django mentioned in the link and the >> reference mentioned in the mail. >> >> >> I wrote a small piece of code in bitbake/lib/toaster/toastergui/tests.py= . >> Below is the code ( since I have written a small code, I thought to shar= e >> here. Kindly let me know if there is any problem sharing small code in t= he >> mailing list ): >> ---------- >> from django.test import TestCase >> from django.test.client import Client >> from django.core.urlresolvers import reverse >> import json >> >> >> class ImportLayerTestCase(TestCase): >> def test_import_layers(self): >> client =3D Client() >> json_string =3D json.dumps({'name':'meta-oe', >> 'vcs-url':'/home/sujith/MEL/homework/meta-xyz', >> 'git_ref':'c12b9596afd236116b25ce26dbe0d793de9dc7ce', >> 'dir_path':'/home/sujith/MEL/homework/meta-xyz/meta-oe', >> 'project_id':'1', 'layer_deps':'1'}) >> response =3D client.post(reverse('xhr_importlayer'), >> {'data':json_string}, >> 'json', >> HTTP_X_REQUESTED_WITH=3D'XMLHttpRequest') >> ------------- >> >> Let me know if I am in the right track. After following your mail and bi= t >> of google, helped me in writing this code. My query here is when I try t= o >> print response, it prints an html as follows: >> > --8<-- > > Yep that's a good start, we currently don't actually pass IN a JSON > document for the import layers call, it's just a bunch of parameters in t= he > POST request. > So instead of > > json_string =3D json.dumps({'name':'meta-oe', >> > > you can do: > > data =3D {'name':'meta-oe', > > > and then: > > response =3D client.post(reverse('xhr_importlayer', args(1,)), > data, > > etc > I modified my code segment to: ------------ data =3D {'name':'meta-oe', 'vcs-url':'/home/sujith/MEL/homework/meta-xyz', 'git_ref':'c12b9596afd236116b25ce26dbe0d793de9dc7ce', 'dir_path':'/home/sujith/MEL/homework/meta-xyz/meta-oe', 'project_id':'1', 'layer_deps':'1'} response =3D client.post(reverse('xhr_importlayer'), data, 'json', HTTP_X_REQUESTED_WITH=3D'XMLHttpRequest') ------------ After making this change when I try to run ./manage.py test toastergui, I get an error saying: -------------- (venv)sujith@kdekidd0:~/MEL/toaster_work/poky/bitbake/lib/toaster$ ./manage.py test toastergui Creating test database for alias 'default'... Content-Type: application/json { "error": "Missing parameters; requires vcs_url, name, git_ref and project_id" } . ---------------------------------------------------------------------- Ran 1 test in 0.184s OK Destroying test database for alias 'default'... (venv)sujith@kdekidd0:~/MEL/toaster_work/poky/bitbake/lib/toaster$ -------------- Bit confusing for me. From the views.py I can see that there is a conditional check that is made for vcs_url, git_ref, project_id and name. Which we are already providing in the dictionary, data. > > Looking at that response I'm wondering if you are you using current maste= r > branch? It seems to be showing the old response to that request where you > haven't enabled build mode (which is enabled by default in current master= ). > The response should be a JSON response where you have the returned state = in > it e.g. { "error" : "hint-layer-exists" } We can then parse this and test > the various conditions are correct based on the data we sent it. > Just now moved to master branch. I was in the fido branch when I did my initial testing. > > Thanks, > > Michael > > > > > > > --=20 =E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0=B4=B0= =E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D Bangalore Contributor to KDE project http://fci.wikia.com/wiki/Anti-DRM-Campaign http://sujithh.info --001a11474734559b91051c79da4b Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable


On Mon, Aug 3, 2015 at 3:56 PM, Michael Wood <michael.g.wood@in= tel.com> wrote:
On 31/07/15= 14:06, sujith h wrote:


On Wed, Jul 29, 2015 at 8:09 PM, sujith h <sujith.h@gmail.com <mailto:sujith.h@gmail.com>> wr= ote:



=C2=A0 =C2=A0 On Wed, Jul 29, 2015 at 12:21 AM, Michael Wood
 =C2=A0 =C2=A0 <michael.g.wood@intel.com <mailto:michael.g.wood@intel.com>> wrote:=

=C2=A0 =C2=A0 =C2=A0 =C2=A0 On 27/07/15 16:23, sujith h wrote:



=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 On Mon, Jul 27, 2015 at 6:55 PM, = Michael Wood
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <michael.g.wood@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:michael.g.wood@intel.com> =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:michael.g.wood@intel.com

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:michael.g.wood@intel.com>>= ;> wrote:

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 On 27/07/15 11:31, = sujith h wrote:



=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 On Mo= n, Jul 27, 2015 at 3:39 PM, Barros Pena, Belen
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <<= a href=3D"mailto:belen.barros.pena@intel.com" target=3D"_blank">belen.barro= s.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com&= gt;
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <m= ailto:bele= n.barros.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com&= gt;>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <m= ailto:bele= n.barros.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com&= gt;
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <m= ailto:bele= n.barros.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com&= gt;>>> wrote:



=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 On 27/07/2015 07:54, "sujith h"
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <sujith.h@gmail.com <mailto:sujith.h@gmail.com>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <m= ailto:sujith.h@gmai= l.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com>>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 <mailto:sujith.h@gmail.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com> <mailto:sujith.h@gmail.com=
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com>>>> =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 wrote= :

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >On Fri, Jul 24, 2015 at 6:36 PM, Barros Pena,
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 Belen
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 ><belen.barros.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com&= gt;
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <m= ailto:bele= n.barros.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com&= gt;>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 <mailto:belen.barros.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com&= gt;
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <m= ailto:bele= n.barros.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com&= gt;>>> wrote:
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >On 24/07/2015 13:57, "sujith h"
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <sujith.h@gmail.com <mailto:sujith.h@gmail.com>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <m= ailto:sujith.h@gmai= l.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com>>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 <mailto:sujith.h@gmail.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com> <mailto:sujith.h@gmail.com=
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com>>>>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 wrote= :
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >* Which version of Yocto Project you are
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 using (fido or
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 maste= r)?
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >I am using fido branch.
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >* Which release you have selected for your
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 project?
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >In the release I have selected "Local Yocto
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 Project"
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >* If you click the "view all compatible
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 layers" link and
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 in th= at
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 page you
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >search for meta-oe, do you get any results?
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >I can see only "meta-yocto-bsp", "meta-yocto&= quot; and
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 "openembedded-core".
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >Attached screenshot of the same.
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >Also attaching screenshot of page where I try
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 to import
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 meta-= oe
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 from my
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >locally cloned location.
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >Below is the file structure I have:
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >sujith@kdekid:~/MEL/homework$= pwd
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >/home/sujith/MEL/homework
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >sujith@kdekid:~/MEL/homework$= ls -l
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >total 5180
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >drwxrwxr-x 19 sujith sujith=C2=A0 =C2=A0 4096 Jun 12 18:40 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 meta-= oe-local
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >drwxrwxr-x 19 sujith sujith=C2=A0 =C2=A0 4096 Jul 24 18:04 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 meta-openembedded-local
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >drwxrwxr-x=C2=A0 8 sujith sujith=C2=A0 =C2=A0 4096 Jul 24 18= :02
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 meta-= qt5-local
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >drwxrwxr-x 11 sujith sujith=C2=A0 =C2=A0 4096 Jul 27
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 12:07 poky
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >drwxrwxr-x=C2=A0 2 sujith sujith=C2=A0 =C2=A0 4096 Jul 27 12= :08
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 toaster_build_artifacts
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >-rw-r--r--=C2=A0 1 sujith sujith 5277696 Jul 27 12:19
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 toast= er.sqlite
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >drwxrwxr-x=C2=A0 6 sujith sujith=C2=A0 =C2=A0 4096 Jul 24 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 16:25 venv
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >sujith@kdekid:~/MEL/homework$=
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 Right, I've managed to reproduce this. Looking
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 at the browser
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 console, it
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 might be a problem with the javascript doing
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 the layer name
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 validation. If
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 you change the layer name to something
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 completely random
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 that = does not
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 exist in the Toaster database (something like
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 meta-xyz),
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 can y= ou
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 import
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 the layer?


=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 Am bi= t new to the web world. So I gave a try with
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 firebug to
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 debug= which script ( Javascript or any ) call happens
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 when = I click "Import=C2=A0 and add to project" button.
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 Even after
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 chang= ing meta-oe repo to meta-xyz as per suggestion,
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 the r= esult remains same. But this is the output I
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 see in the
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 fireb= ug console:
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 |{&qu= ot;current_id": 5, "current_url":
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 "= ;git://git.openembedded.org/meta-openembedded
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <http://gi= t.openembedded.org/meta-openembedded>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <<= a href=3D"http://git.openembedded.org/meta-openembedded" rel=3D"noreferrer"= target=3D"_blank">http://git.openembedded.org/meta-openembedded> =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <<= a href=3D"http://git.openembedded.org/meta-openembedded" rel=3D"noreferrer"= target=3D"_blank">http://git.openembedded.org/meta-openembedded>&qu= ot;,
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 "error":
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 "hint-layer-exists-with-diff= erent-url"||}|
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 hint-layer-exists-with-different-= url

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 Also = attaching the screenshot of the same ( to get
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 more clarity ).


=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 Thanks for this, I = noticed this wasn't working
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 properly last week,
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 and rolled a couple= of patches to fix these regressions.


=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 http://git.yoctoproject.org/cgit/cgit.cgi/poky-cont= rib/commit/?h=3Dmichaelw/toaster/wip-nav-project-changes&id=3D0181c56dd= 608427c0a7bd986df75bf7a1189e064

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 and


=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 http://git.yoctoproject.org/cgit/cgit.cgi/poky-cont= rib/commit/?h=3Dmichaelw/toaster/wip-nav-project-changes&id=3Daa5b023f0= 3f5465ea22318a1f21199ce434eb700

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 I have a few other = things to fix on this branch as I
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 have been
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 fixing a number of = things to allow me to test the new
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 project
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 page, I'm inten= ding to roll a separate branch for
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 review on it.

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 You've highligh= ted that we need a unit test which does
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 a layer
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 import using the ba= ck end API calls, which although it
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 wouldn't
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 have caught this er= ror would be really good to have,
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 if you're
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 interested in helpi= ng with that?


=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 It would be my pleasure to help := ) I might need some
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 assistance as I am learning Djang= o. May be some hint like
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 where to start with or so.


=C2=A0 =C2=A0 =C2=A0 =C2=A0 This is the best place to start
=C2=A0 =C2=A0 =C2=A0 =C2=A0 https://do= cs.djangoproject.com/en/1.6/topics/testing/overview/

=C2=A0 =C2=A0 =C2=A0 =C2=A0 In ./bitbake
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <https://= git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake>/lib
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <http= s://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake/lib>/toaste= r
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake/lib/toaste= r>/toastergui
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake= /lib/toaster/toastergui>/tests.py
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <https://git.yoctoproject.org/cgit/cgit.cgi/poky/tre= e/bitbake/lib/toaster/toastergui/tests.py>

=C2=A0 =C2=A0 =C2=A0 =C2=A0 We can add something like

=C2=A0 =C2=A0 =C2=A0 =C2=A0 class ImportLayerTestCase(|ProvisionedLayersPro= jectTestCase|):
=C2=A0 =C2=A0 =C2=A0 =C2=A0 ....
=C2=A0 =C2=A0 =C2=A0 =C2=A0 ...
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 def test_import_layer(self):
=C2=A0 =C2=A0 =C2=A0 =C2=A0 client.post(reverse('xhr_importlayer',.= ....

=C2=A0 =C2=A0 =C2=A0 =C2=A0 ...

=C2=A0 =C2=A0 =C2=A0 =C2=A0 We can then use the JSON response from the clie= nt to help
=C2=A0 =C2=A0 =C2=A0 =C2=A0 validate the data coming back as well as checki= ng the import
=C2=A0 =C2=A0 =C2=A0 =C2=A0 layer actually entered the database.

=C2=A0 =C2=A0 =C2=A0 =C2=A0 There are a few examples in the yocto error-rep= ort-web project
=C2=A0 =C2=A0 =C2=A0 =C2=A0 too that might be useful to look at e.g.
=C2=A0 =C2=A0 =C2=A0 =C2=A0 http://git.yoctoproject.org/cgit/cgit.cgi/error-report-web/tree/Po= st/test.py#n153
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <http://git.yoctoproject.org/cgit/cgit.cgi/error-report-web/tre= e/Post/test.py#n153>

=C2=A0 =C2=A0 =C2=A0 =C2=A0 You can run the test by doing running ./manage.= py test toastergui


=C2=A0 =C2=A0 Thank you Michael for such a detailed step to follow. I have<= br> =C2=A0 =C2=A0 started reading the docs from django mentioned in the link an= d the
=C2=A0 =C2=A0 reference mentioned in the mail.


I wrote a small piece of code in bitbake/lib/toaster/toastergui/tests.py. B= elow is the code ( since I have written a small code, I thought to share he= re. Kindly let me know if there is any problem sharing small code in the ma= iling list ):
----------
from django.test import TestCase
from django.test.client import Client
from django.core.urlresolvers import reverse
import json


class ImportLayerTestCase(TestCase):
=C2=A0 =C2=A0 def test_import_layers(self):
=C2=A0 =C2=A0 =C2=A0 =C2=A0 client =3D Client()
=C2=A0 =C2=A0 =C2=A0 =C2=A0 json_string =3D json.dumps({'name':'= ;meta-oe',
'vcs-url':'/home/sujith/MEL/homework/meta-xyz',
'git_ref':'c12b9596afd236116b25ce26dbe0d793de9dc7ce',
'dir_path':'/home/sujith/MEL/homework/meta-xyz/meta-oe', =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 'project_id':'1', 'layer_deps':'1'}) =C2=A0 =C2=A0 =C2=A0 =C2=A0 response =3D client.post(reverse('xhr_impor= tlayer'),
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0{'= data':json_string},
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0'j= son',
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0HTTP_X= _REQUESTED_WITH=3D'XMLHttpRequest')
-------------

Let me know if I am in the right track. After following your mail and bit o= f google, helped me in writing this code. My query here is when I try to pr= int response, it prints an html as follows:
--8<--

Yep that's a good start, we currently don't actually pass IN a JSON= document for the import layers call, it's just a bunch of parameters i= n the POST request.
So instead of

=C2=A0 =C2=A0 =C2=A0 =C2=A0 json_string =3D json.dumps({'name':'= ;meta-oe',

 you can do:

=C2=A0 =C2=A0 =C2=A0 =C2=A0 data =3D {'name':'meta-oe',


and then:

=C2=A0 =C2=A0 =C2=A0 =C2=A0response =3D client.post(reverse('xhr_import= layer', args(1,)),
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0data,= =C2=A0

etc

I modified my code segment to:
-= -----------
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 data =3D {'na= me':'meta-oe',
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 'vcs-url':'/home/= sujith/MEL/homework/meta-xyz',
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 'git_ref':&#= 39;c12b9596afd236116b25ce26dbe0d793de9dc7ce',
=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 '= dir_path':'/home/sujith/MEL/homework/meta-xyz/meta-oe',
=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0 'project_id':'1', 'layer_deps':'1&= #39;}
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 response =3D client.pos= t(reverse('xhr_importlayer'),
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= data, 'json',
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 HTTP_X_REQUEST= ED_WITH=3D'XMLHttpRequest')
------------

After= making this change when I try to run ./manage.py test toastergui, I get an= error saying:

--------------
(venv)sujith@kdekidd0:~/MEL/toaster= _work/poky/bitbake/lib/toaster$ ./manage.py test toastergui
Creating tes= t database for alias 'default'...
Content-Type: application/json=

{
=C2=A0 "error": "Missing parameters; requires v= cs_url, name, git_ref and project_id"
}
.
-------------------= ---------------------------------------------------
Ran 1 test in 0.184s=

OK
Destroying test database for alias 'default'...
(v= env)sujith@kdekidd0:~/MEL/toaster_work/poky/bitbake/lib/toaster$
-------= -------

Bit confusing for me. From the views.py I can see= that there is a conditional check that is made for vcs_url, git_ref, proje= ct_id and name. Which we are already providing in the dictionary, data.
=
=C2=A0

Looking at that response I'm wondering if you are you using current mas= ter branch? It seems to be showing the old response to that request where y= ou haven't enabled build mode (which is enabled by default in current m= aster). The response should be a JSON response where you have the returned = state in it e.g. { "error" : "hint-layer-exists" } We c= an then parse this and test the various conditions are correct based on the= data we sent it.

Just now moved to mas= ter branch. I was in the fido branch when I did my initial testing.

Thanks,

Michael









--
=E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0= =B4=B0=E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D
Bangalore<Project>Contributor to KDE project
http://fci.wikia.com/wiki/Ant= i-DRM-Campaign
<Blog> http://sujithh.info
--001a11474734559b91051c79da4b-- From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: by yocto-www.yoctoproject.org (Postfix, from userid 118) id 2DA06E00A92; Tue, 4 Aug 2015 06:16:51 -0700 (PDT) X-Spam-Checker-Version: SpamAssassin 3.3.1 (2010-03-16) on yocto-www.yoctoproject.org X-Spam-Level: X-Spam-Status: No, score=-2.7 required=5.0 tests=BAYES_00,DKIM_SIGNED, DKIM_VALID,DKIM_VALID_AU,FREEMAIL_FROM,HTML_MESSAGE,RCVD_IN_DNSWL_LOW autolearn=ham version=3.3.1 X-Spam-HAM-Report: * 0.0 FREEMAIL_FROM Sender email is commonly abused enduser mail provider * (sujith.h[at]gmail.com) * -0.7 RCVD_IN_DNSWL_LOW RBL: Sender listed at http://www.dnswl.org/, low * trust * [209.85.192.51 listed in list.dnswl.org] * -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% * [score: 0.0000] * 0.0 HTML_MESSAGE BODY: HTML included in message * -0.1 DKIM_VALID_AU Message has a valid DKIM or DK signature from author's * domain * 0.1 DKIM_SIGNED Message has a DKIM or DK signature, not necessarily * valid * -0.1 DKIM_VALID Message has at least one valid DKIM or DK signature Received: from mail-qg0-f51.google.com (mail-qg0-f51.google.com [209.85.192.51]) by yocto-www.yoctoproject.org (Postfix) with ESMTP id A0E3AE00A7E for ; Tue, 4 Aug 2015 06:16:47 -0700 (PDT) Received: by qgeu79 with SMTP id u79so5828474qge.1 for ; Tue, 04 Aug 2015 06:16:47 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:from:date:message-id:subject:to :cc:content-type; bh=cgyNiYeovnWQTFWTpDqETYonkB4NXPeRJWQpxqACXdk=; b=mnFTuj10B9E3hbwQuuqSSGPPU1DekXbfdLnT6la9pShyfqbTzoEuNI611DoFWUU7zD b+h9MeRK4/ThBC+vbAeHJH8Gz03uYRB4fmt95QdAFaobqvtwIMecalur8J4mQIb+OKTG GL3MG88sS8F6yS61M/4bkOqjQyFfjQdW0oGnDL11WwhYM6Ly6eDHdTI+fMxenMGRJ3cp UH2Qkp3mIOA4hsQ0MjsewWpnF01HSq5sw55KdsebB4ioLofMHfhu3xJ0TJC+tfS/dXNF 9zrsART2g//ZF3KQ8f/sdUQImoTVIojwDJuFkZ0OGHP77H3zp16dQQmSTJByzQQLGOtW fcVA== X-Received: by 10.140.232.200 with SMTP id d191mr7292566qhc.87.1438694207231; Tue, 04 Aug 2015 06:16:47 -0700 (PDT) MIME-Version: 1.0 Received: by 10.96.138.226 with HTTP; Tue, 4 Aug 2015 06:16:27 -0700 (PDT) In-Reply-To: References: <55B6312D.1000801@intel.com> <55B7CF14.7000409@intel.com> <55BF41BD.5000500@intel.com> From: sujith h Date: Tue, 4 Aug 2015 18:46:27 +0530 Message-ID: To: Michael Wood Cc: toaster@yoctoproject.org Subject: Re: Usage of already cloned layers in toaster X-BeenThere: toaster@yoctoproject.org X-Mailman-Version: 2.1.13 Precedence: list List-Id: Web based interface for BitBake List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Tue, 04 Aug 2015 13:16:51 -0000 Content-Type: multipart/alternative; boundary=001a11c0f45c299f70051c7c19cd --001a11c0f45c299f70051c7c19cd Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable On Tue, Aug 4, 2015 at 4:05 PM, sujith h wrote: > > > On Mon, Aug 3, 2015 at 3:56 PM, Michael Wood > wrote: > >> On 31/07/15 14:06, sujith h wrote: >> >>> >>> >>> On Wed, Jul 29, 2015 at 8:09 PM, sujith h >> sujith.h@gmail.com>> wrote: >>> >>> >>> >>> On Wed, Jul 29, 2015 at 12:21 AM, Michael Wood >>> > wrote: >>> >>> On 27/07/15 16:23, sujith h wrote: >>> >>> >>> >>> On Mon, Jul 27, 2015 at 6:55 PM, Michael Wood >>> >> >>> >> >>> >> wrote: >>> >>> On 27/07/15 11:31, sujith h wrote: >>> >>> >>> >>> On Mon, Jul 27, 2015 at 3:39 PM, Barros Pena, Belen >>> >> >>> >> > >>> >> >>> >> >>> wrote: >>> >>> >>> >>> On 27/07/2015 07:54, "sujith h" >>> >>> >> > >>> >> >> >>> >>> wrote: >>> >>> > >>> > >>> >On Fri, Jul 24, 2015 at 6:36 PM, Barros Pena, >>> Belen >>> >>> >>> >> > >>> >> >>> >> >>> wrote: >>> > >>> > >>> > >>> >On 24/07/2015 13:57, "sujith h" >>> >>> >> > >>> >> >> >>> >>> >>> wrote: >>> > >>> > >>> >* Which version of Yocto Project you are >>> using (fido or >>> master)? >>> > >>> >I am using fido branch. >>> > >>> > >>> >* Which release you have selected for your >>> project? >>> > >>> > >>> >In the release I have selected "Local Yocto >>> Project" >>> > >>> > >>> >* If you click the "view all compatible >>> layers" link and >>> in that >>> page you >>> >search for meta-oe, do you get any results? >>> > >>> >I can see only "meta-yocto-bsp", "meta-yocto" >>> and >>> "openembedded-core". >>> >Attached screenshot of the same. >>> > >>> > >>> >Also attaching screenshot of page where I try >>> to import >>> meta-oe >>> from my >>> >locally cloned location. >>> > >>> > >>> >Below is the file structure I have: >>> > >>> >sujith@kdekid:~/MEL/homework$ pwd >>> >/home/sujith/MEL/homework >>> >sujith@kdekid:~/MEL/homework$ ls -l >>> >total 5180 >>> >drwxrwxr-x 19 sujith sujith 4096 Jun 12 18:= 40 >>> meta-oe-local >>> >drwxrwxr-x 19 sujith sujith 4096 Jul 24 18:= 04 >>> meta-openembedded-local >>> >drwxrwxr-x 8 sujith sujith 4096 Jul 24 18:= 02 >>> meta-qt5-local >>> >drwxrwxr-x 11 sujith sujith 4096 Jul 27 >>> 12:07 poky >>> >drwxrwxr-x 2 sujith sujith 4096 Jul 27 12:= 08 >>> toaster_build_artifacts >>> >-rw-r--r-- 1 sujith sujith 5277696 Jul 27 12:= 19 >>> toaster.sqlite >>> >drwxrwxr-x 6 sujith sujith 4096 Jul 24 >>> 16:25 venv >>> >sujith@kdekid:~/MEL/homework$ >>> > >>> >>> Right, I've managed to reproduce this. Looking >>> at the browser >>> console, it >>> might be a problem with the javascript doing >>> the layer name >>> validation. If >>> you change the layer name to something >>> completely random >>> that does not >>> exist in the Toaster database (something like >>> meta-xyz), >>> can you >>> import >>> the layer? >>> >>> >>> Am bit new to the web world. So I gave a try with >>> firebug to >>> debug which script ( Javascript or any ) call happe= ns >>> when I click "Import and add to project" button. >>> Even after >>> changing meta-oe repo to meta-xyz as per suggestion= , >>> the result remains same. But this is the output I >>> see in the >>> firebug console: >>> |{"current_id": 5, "current_url": >>> "git://git.openembedded.org/meta-openembedded >>> >>> >>> ", >>> "error": >>> "hint-layer-exists-with-different-url"||}| >>> hint-layer-exists-with-different-url >>> >>> Also attaching the screenshot of the same ( to get >>> more clarity ). >>> >>> >>> Thanks for this, I noticed this wasn't working >>> properly last week, >>> and rolled a couple of patches to fix these regressions= . >>> >>> >>> >>> http://git.yoctoproject.org/cgit/cgit.cgi/poky-contrib/commit/?h=3Dmich= aelw/toaster/wip-nav-project-changes&id=3D0181c56dd608427c0a7bd986df75bf7a1= 189e064 >>> >>> and >>> >>> >>> >>> http://git.yoctoproject.org/cgit/cgit.cgi/poky-contrib/commit/?h=3Dmich= aelw/toaster/wip-nav-project-changes&id=3Daa5b023f03f5465ea22318a1f21199ce4= 34eb700 >>> >>> I have a few other things to fix on this branch as I >>> have been >>> fixing a number of things to allow me to test the new >>> project >>> page, I'm intending to roll a separate branch for >>> review on it. >>> >>> You've highlighted that we need a unit test which does >>> a layer >>> import using the back end API calls, which although it >>> wouldn't >>> have caught this error would be really good to have, >>> if you're >>> interested in helping with that? >>> >>> >>> It would be my pleasure to help :) I might need some >>> assistance as I am learning Django. May be some hint like >>> where to start with or so. >>> >>> >>> This is the best place to start >>> https://docs.djangoproject.com/en/1.6/topics/testing/overview/ >>> >>> In ./bitbake >>> >> >/lib >>> < >>> https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake/lib >>> >/toaster >>> < >>> https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake/lib/toaste= r >>> >/toastergui >>> < >>> https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake/lib/toaste= r/toastergui >>> >/tests.py >>> < >>> https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake/lib/toaste= r/toastergui/tests.py >>> > >>> >>> We can add something like >>> >>> class ImportLayerTestCase(|ProvisionedLayersProjectTestCase|): >>> .... >>> ... >>> def test_import_layer(self): >>> client.post(reverse('xhr_importlayer',..... >>> >>> ... >>> >>> We can then use the JSON response from the client to help >>> validate the data coming back as well as checking the import >>> layer actually entered the database. >>> >>> There are a few examples in the yocto error-report-web project >>> too that might be useful to look at e.g. >>> >>> http://git.yoctoproject.org/cgit/cgit.cgi/error-report-web/tree/Post/te= st.py#n153 >>> < >>> http://git.yoctoproject.org/cgit/cgit.cgi/error-report-web/tree/Post/te= st.py#n153 >>> > >>> >>> You can run the test by doing running ./manage.py test toasterg= ui >>> >>> >>> Thank you Michael for such a detailed step to follow. I have >>> started reading the docs from django mentioned in the link and the >>> reference mentioned in the mail. >>> >>> >>> I wrote a small piece of code in >>> bitbake/lib/toaster/toastergui/tests.py. Below is the code ( since I ha= ve >>> written a small code, I thought to share here. Kindly let me know if th= ere >>> is any problem sharing small code in the mailing list ): >>> ---------- >>> from django.test import TestCase >>> from django.test.client import Client >>> from django.core.urlresolvers import reverse >>> import json >>> >>> >>> class ImportLayerTestCase(TestCase): >>> def test_import_layers(self): >>> client =3D Client() >>> json_string =3D json.dumps({'name':'meta-oe', >>> 'vcs-url':'/home/sujith/MEL/homework/meta-xyz', >>> 'git_ref':'c12b9596afd236116b25ce26dbe0d793de9dc7ce', >>> 'dir_path':'/home/sujith/MEL/homework/meta-xyz/meta-oe', >>> 'project_id':'1', 'layer_deps':'1'}) >>> response =3D client.post(reverse('xhr_importlayer'), >>> {'data':json_string}, >>> 'json', >>> HTTP_X_REQUESTED_WITH=3D'XMLHttpRequest') >>> ------------- >>> >>> Let me know if I am in the right track. After following your mail and >>> bit of google, helped me in writing this code. My query here is when I = try >>> to print response, it prints an html as follows: >>> >> --8<-- >> >> Yep that's a good start, we currently don't actually pass IN a JSON >> document for the import layers call, it's just a bunch of parameters in = the >> POST request. >> So instead of >> >> json_string =3D json.dumps({'name':'meta-oe', >>> >> >> you can do: >> >> data =3D {'name':'meta-oe', >> >> >> and then: >> >> response =3D client.post(reverse('xhr_importlayer', args(1,)), >> data, >> > >> etc >> > > I modified my code segment to: > ------------ > data =3D {'name':'meta-oe', > 'vcs-url':'/home/sujith/MEL/homework/meta-xyz', > 'git_ref':'c12b9596afd236116b25ce26dbe0d793de9dc7ce', > 'dir_path':'/home/sujith/MEL/homework/meta-xyz/meta-oe', > 'project_id':'1', 'layer_deps':'1'} > response =3D client.post(reverse('xhr_importlayer'), > data, 'json', > HTTP_X_REQUESTED_WITH=3D'XMLHttpRequest') > ------------ > > Modified code bit further: response =3D client.post(reverse('xhr_importlayer'), data, content_type=3D"application/json" Also resulted in the same error. > After making this change when I try to run ./manage.py test toastergui, I > get an error saying: > > -------------- > (venv)sujith@kdekidd0:~/MEL/toaster_work/poky/bitbake/lib/toaster$ > ./manage.py test toastergui > Creating test database for alias 'default'... > Content-Type: application/json > > { > "error": "Missing parameters; requires vcs_url, name, git_ref and > project_id" > } > . > ---------------------------------------------------------------------- > Ran 1 test in 0.184s > > OK > Destroying test database for alias 'default'... > (venv)sujith@kdekidd0:~/MEL/toaster_work/poky/bitbake/lib/toaster$ > -------------- > > Bit confusing for me. From the views.py I can see that there is a > conditional check that is made for vcs_url, git_ref, project_id and name. > Which we are already providing in the dictionary, data. > > >> >> Looking at that response I'm wondering if you are you using current >> master branch? It seems to be showing the old response to that request >> where you haven't enabled build mode (which is enabled by default in >> current master). The response should be a JSON response where you have t= he >> returned state in it e.g. { "error" : "hint-layer-exists" } We can then >> parse this and test the various conditions are correct based on the data= we >> sent it. >> > > Just now moved to master branch. I was in the fido branch when I did my > initial testing. > >> >> Thanks, >> >> Michael >> >> >> >> >> >> >> > > > -- > =E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0=B4=B0= =E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D > Bangalore > Contributor to KDE project > http://fci.wikia.com/wiki/Anti-DRM-Campaign > http://sujithh.info > --=20 =E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0=B4=B0= =E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D Bangalore Contributor to KDE project http://fci.wikia.com/wiki/Anti-DRM-Campaign http://sujithh.info --001a11c0f45c299f70051c7c19cd Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable


On Tue, Aug 4, 2015 at 4:05 PM, sujith h <sujith.h@gmail.com>= wrote:


On Mon, Aug 3, 2015 at 3:56 PM, Michael Wood <michael.g.wood@intel= .com> wrote:
On 31/07/15 14= :06, sujith h wrote:


On Wed, Jul 29, 2015 at 8:09 PM, sujith h <sujith.h@gmail.com <mailto:sujith.h@gmail.com>> wr= ote:



=C2=A0 =C2=A0 On Wed, Jul 29, 2015 at 12:21 AM, Michael Wood
 =C2=A0 =C2=A0 <michael.g.wood@intel.com <mailto:michael.g.wood@intel.com>> wrote:=

=C2=A0 =C2=A0 =C2=A0 =C2=A0 On 27/07/15 16:23, sujith h wrote:



=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 On Mon, Jul 27, 2015 at 6:55 PM, = Michael Wood
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <michael.g.wood@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:michael.g.wood@intel.com> =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:michael.g.wood@intel.com

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:michael.g.wood@intel.com>>= ;> wrote:

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 On 27/07/15 11:31, = sujith h wrote:



=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 On Mo= n, Jul 27, 2015 at 3:39 PM, Barros Pena, Belen
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <<= a href=3D"mailto:belen.barros.pena@intel.com" target=3D"_blank">belen.barro= s.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com&= gt;
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <m= ailto:bele= n.barros.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com&= gt;>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <m= ailto:bele= n.barros.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com&= gt;
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <m= ailto:bele= n.barros.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com&= gt;>>> wrote:



=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 On 27/07/2015 07:54, "sujith h"
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <sujith.h@gmail.com <mailto:sujith.h@gmail.com>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <m= ailto:sujith.h@gmai= l.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com>>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 <mailto:sujith.h@gmail.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com> <mailto:sujith.h@gmail.com=
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com>>>> =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 wrote= :

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >On Fri, Jul 24, 2015 at 6:36 PM, Barros Pena,
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 Belen
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 ><belen.barros.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com&= gt;
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <m= ailto:bele= n.barros.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com&= gt;>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 <mailto:belen.barros.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com&= gt;
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <m= ailto:bele= n.barros.pena@intel.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:belen.barros.pena@intel.com&= gt;>>> wrote:
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >On 24/07/2015 13:57, "sujith h"
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <sujith.h@gmail.com <mailto:sujith.h@gmail.com>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <m= ailto:sujith.h@gmai= l.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com>>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 <mailto:sujith.h@gmail.com
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com> <mailto:sujith.h@gmail.com=
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <mailto:sujith.h@gmail.com>>>>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 wrote= :
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >* Which version of Yocto Project you are
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 using (fido or
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 maste= r)?
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >I am using fido branch.
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >* Which release you have selected for your
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 project?
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >In the release I have selected "Local Yocto
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 Project"
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >* If you click the "view all compatible
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 layers" link and
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 in th= at
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 page you
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >search for meta-oe, do you get any results?
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >I can see only "meta-yocto-bsp", "meta-yocto&= quot; and
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 "openembedded-core".
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >Attached screenshot of the same.
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >Also attaching screenshot of page where I try
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 to import
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 meta-= oe
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 from my
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >locally cloned location.
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >Below is the file structure I have:
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >sujith@kdekid:~/MEL/homework$= pwd
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >/home/sujith/MEL/homework
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >sujith@kdekid:~/MEL/homework$= ls -l
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >total 5180
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >drwxrwxr-x 19 sujith sujith=C2=A0 =C2=A0 4096 Jun 12 18:40 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 meta-= oe-local
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >drwxrwxr-x 19 sujith sujith=C2=A0 =C2=A0 4096 Jul 24 18:04 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 meta-openembedded-local
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >drwxrwxr-x=C2=A0 8 sujith sujith=C2=A0 =C2=A0 4096 Jul 24 18= :02
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 meta-= qt5-local
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >drwxrwxr-x 11 sujith sujith=C2=A0 =C2=A0 4096 Jul 27
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 12:07 poky
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >drwxrwxr-x=C2=A0 2 sujith sujith=C2=A0 =C2=A0 4096 Jul 27 12= :08
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 toaster_build_artifacts
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >-rw-r--r--=C2=A0 1 sujith sujith 5277696 Jul 27 12:19
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 toast= er.sqlite
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >drwxrwxr-x=C2=A0 6 sujith sujith=C2=A0 =C2=A0 4096 Jul 24 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 16:25 venv
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 >sujith@kdekid:~/MEL/homework$=
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 >

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 Right, I've managed to reproduce this. Looking
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 at the browser
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 console, it
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 might be a problem with the javascript doing
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 the layer name
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 validation. If
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 you change the layer name to something
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 completely random
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 that = does not
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 exist in the Toaster database (something like
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 meta-xyz),
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 can y= ou
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 import
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 the layer?


=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 Am bi= t new to the web world. So I gave a try with
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 firebug to
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 debug= which script ( Javascript or any ) call happens
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 when = I click "Import=C2=A0 and add to project" button.
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 Even after
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 chang= ing meta-oe repo to meta-xyz as per suggestion,
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 the r= esult remains same. But this is the output I
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 see in the
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 fireb= ug console:
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 |{&qu= ot;current_id": 5, "current_url":
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 "= ;git://git.openembedded.org/meta-openembedded
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <http://gi= t.openembedded.org/meta-openembedded>
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <<= a href=3D"http://git.openembedded.org/meta-openembedded" rel=3D"noreferrer"= target=3D"_blank">http://git.openembedded.org/meta-openembedded> =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 <<= a href=3D"http://git.openembedded.org/meta-openembedded" rel=3D"noreferrer"= target=3D"_blank">http://git.openembedded.org/meta-openembedded>&qu= ot;,
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 "error":
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 "hint-layer-exists-with-diff= erent-url"||}|
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 hint-layer-exists-with-different-= url

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 Also = attaching the screenshot of the same ( to get
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 more clarity ).


=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 Thanks for this, I = noticed this wasn't working
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 properly last week,
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 and rolled a couple= of patches to fix these regressions.


=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 http://git.yoctoproject.org/cgit/cgit.cgi/poky-cont= rib/commit/?h=3Dmichaelw/toaster/wip-nav-project-changes&id=3D0181c56dd= 608427c0a7bd986df75bf7a1189e064

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 and


=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 http://git.yoctoproject.org/cgit/cgit.cgi/poky-cont= rib/commit/?h=3Dmichaelw/toaster/wip-nav-project-changes&id=3Daa5b023f0= 3f5465ea22318a1f21199ce434eb700

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 I have a few other = things to fix on this branch as I
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 have been
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 fixing a number of = things to allow me to test the new
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 project
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 page, I'm inten= ding to roll a separate branch for
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 review on it.

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 You've highligh= ted that we need a unit test which does
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 a layer
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 import using the ba= ck end API calls, which although it
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 wouldn't
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 have caught this er= ror would be really good to have,
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 if you're
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 interested in helpi= ng with that?


=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 It would be my pleasure to help := ) I might need some
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 assistance as I am learning Djang= o. May be some hint like
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 where to start with or so.


=C2=A0 =C2=A0 =C2=A0 =C2=A0 This is the best place to start
=C2=A0 =C2=A0 =C2=A0 =C2=A0 https://do= cs.djangoproject.com/en/1.6/topics/testing/overview/

=C2=A0 =C2=A0 =C2=A0 =C2=A0 In ./bitbake
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <https://= git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake>/lib
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <http= s://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake/lib>/toaste= r
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake/lib/toaste= r>/toastergui
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <https://git.yoctoproject.org/cgit/cgit.cgi/poky/tree/bitbake= /lib/toaster/toastergui>/tests.py
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <https://git.yoctoproject.org/cgit/cgit.cgi/poky/tre= e/bitbake/lib/toaster/toastergui/tests.py>

=C2=A0 =C2=A0 =C2=A0 =C2=A0 We can add something like

=C2=A0 =C2=A0 =C2=A0 =C2=A0 class ImportLayerTestCase(|ProvisionedLayersPro= jectTestCase|):
=C2=A0 =C2=A0 =C2=A0 =C2=A0 ....
=C2=A0 =C2=A0 =C2=A0 =C2=A0 ...
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 def test_import_layer(self):
=C2=A0 =C2=A0 =C2=A0 =C2=A0 client.post(reverse('xhr_importlayer',.= ....

=C2=A0 =C2=A0 =C2=A0 =C2=A0 ...

=C2=A0 =C2=A0 =C2=A0 =C2=A0 We can then use the JSON response from the clie= nt to help
=C2=A0 =C2=A0 =C2=A0 =C2=A0 validate the data coming back as well as checki= ng the import
=C2=A0 =C2=A0 =C2=A0 =C2=A0 layer actually entered the database.

=C2=A0 =C2=A0 =C2=A0 =C2=A0 There are a few examples in the yocto error-rep= ort-web project
=C2=A0 =C2=A0 =C2=A0 =C2=A0 too that might be useful to look at e.g.
=C2=A0 =C2=A0 =C2=A0 =C2=A0 http://git.yoctoproject.org/cgit/cgit.cgi/error-report-web/tree/Po= st/test.py#n153
=C2=A0 =C2=A0 =C2=A0 =C2=A0 <http://git.yoctoproject.org/cgit/cgit.cgi/error-report-web/tre= e/Post/test.py#n153>

=C2=A0 =C2=A0 =C2=A0 =C2=A0 You can run the test by doing running ./manage.= py test toastergui


=C2=A0 =C2=A0 Thank you Michael for such a detailed step to follow. I have<= br> =C2=A0 =C2=A0 started reading the docs from django mentioned in the link an= d the
=C2=A0 =C2=A0 reference mentioned in the mail.


I wrote a small piece of code in bitbake/lib/toaster/toastergui/tests.py. B= elow is the code ( since I have written a small code, I thought to share he= re. Kindly let me know if there is any problem sharing small code in the ma= iling list ):
----------
from django.test import TestCase
from django.test.client import Client
from django.core.urlresolvers import reverse
import json


class ImportLayerTestCase(TestCase):
=C2=A0 =C2=A0 def test_import_layers(self):
=C2=A0 =C2=A0 =C2=A0 =C2=A0 client =3D Client()
=C2=A0 =C2=A0 =C2=A0 =C2=A0 json_string =3D json.dumps({'name':'= ;meta-oe',
'vcs-url':'/home/sujith/MEL/homework/meta-xyz',
'git_ref':'c12b9596afd236116b25ce26dbe0d793de9dc7ce',
'dir_path':'/home/sujith/MEL/homework/meta-xyz/meta-oe', =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 'project_id':'1', 'layer_deps':'1'}) =C2=A0 =C2=A0 =C2=A0 =C2=A0 response =3D client.post(reverse('xhr_impor= tlayer'),
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0{'= data':json_string},
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0'j= son',
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0HTTP_X= _REQUESTED_WITH=3D'XMLHttpRequest')
-------------

Let me know if I am in the right track. After following your mail and bit o= f google, helped me in writing this code. My query here is when I try to pr= int response, it prints an html as follows:
--8<--

Yep that's a good start, we currently don't actually pass IN a JSON= document for the import layers call, it's just a bunch of parameters i= n the POST request.
So instead of

=C2=A0 =C2=A0 =C2=A0 =C2=A0 json_string =3D json.dumps({'name':'= ;meta-oe',

 you can do:

=C2=A0 =C2=A0 =C2=A0 =C2=A0 data =3D {'name':'meta-oe',


and then:

=C2=A0 =C2=A0 =C2=A0 =C2=A0response =3D client.post(reverse('xhr_import= layer', args(1,)),
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0data,= =C2=A0

etc

I modified my code segm= ent to:
------------
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0 data =3D {'name':'meta-oe',
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0 'vcs-url':'/home/sujith/MEL/homework/m= eta-xyz',
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 'git_ref':'c12b9596afd236116b= 25ce26dbe0d793de9dc7ce',
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 'dir_path':'/h= ome/sujith/MEL/homework/meta-xyz/meta-oe',
=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 'pro= ject_id':'1', 'layer_deps':'1'}
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 response =3D client.= post(reverse('xhr_importlayer'),
=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0 data, 'json',
=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 HTTP_= X_REQUESTED_WITH=3D'XMLHttpRequest')
------------

<= /div>

Modified code bit further= :
=C2=A0response =3D client.post(reverse('xhr_importlayer'),
= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 data, content_type=3D"application/js= on"


Also resulted in the same error.
=C2=A0
After making = this change when I try to run ./manage.py test toastergui, I get an error s= aying:

--------------
(venv)sujith@kdekidd0:~/MEL/toaster_work/po= ky/bitbake/lib/toaster$ ./manage.py test toastergui
Creating test databa= se for alias 'default'...
Content-Type: application/json

= {
=C2=A0 "error": "Missing parameters; requires vcs_url, = name, git_ref and project_id"
}
.
---------------------------= -------------------------------------------
Ran 1 test in 0.184s

= OK
Destroying test database for alias 'default'...
(venv)suji= th@kdekidd0:~/MEL/toaster_work/poky/bitbake/lib/toaster$
--------------<= br>
Bit confusing for me. From the views.py I can see that th= ere is a conditional check that is made for vcs_url, git_ref, project_id an= d name. Which we are already providing in the dictionary, data.
=C2=A0

Looking at that response I'm wondering if you are you using current mas= ter branch? It seems to be showing the old response to that request where y= ou haven't enabled build mode (which is enabled by default in current m= aster). The response should be a JSON response where you have the returned = state in it e.g. { "error" : "hint-layer-exists" } We c= an then parse this and test the various conditions are correct based on the= data we sent it.

Just now moved= to master branch. I was in the fido branch when I did my initial testing. =

Thanks,

Michael









--
= =E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0=B4=B0= =E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D
Bangalore
<= Project>Contributor to KDE project
http://fci.wikia.com/wiki/Anti-DRM-= Campaign
<Blog> http://sujithh.info



--
=E0=B4=B8=E0=B5=81=E0=B4=9C=E0=B4=BF=E0=B4=A4=E0=B5=8D =E0=B4=B9=E0= =B4=B0=E0=B4=BF=E0=B4=A6=E0=B4=BE=E0=B4=B8=E0=B4=A8=E0=B5=8D
Bangalore<Project>Contributor to KDE project
http://fci.wikia.com/wiki/Ant= i-DRM-Campaign
<Blog> http://sujithh.info
--001a11c0f45c299f70051c7c19cd--